diff --git "a/tiny.log" "b/tiny.log" new file mode 100644--- /dev/null +++ "b/tiny.log" @@ -0,0 +1,9207 @@ +2024/11/07 03:11:12 - mmengine - INFO - +------------------------------------------------------------ +System environment: + sys.platform: linux + Python: 3.10.6 (main, Mar 10 2023, 10:55:28) [GCC 11.3.0] + CUDA available: True + MUSA available: False + numpy_random_seed: 624982218 + GPU 0,1,2,3,4,5,6,7: NVIDIA L20 + CUDA_HOME: /usr/local/cuda + NVCC: Cuda compilation tools, release 12.1, V12.1.105 + GCC: x86_64-linux-gnu-gcc (Ubuntu 11.3.0-1ubuntu1~22.04) 11.3.0 + PyTorch: 2.2.1+cu121 + PyTorch compiling details: PyTorch built with: + - GCC 9.3 + - C++ Version: 201703 + - Intel(R) oneAPI Math Kernel Library Version 2022.2-Product Build 20220804 for Intel(R) 64 architecture applications + - Intel(R) MKL-DNN v3.3.2 (Git Hash 2dc95a2ad0841e29db8b22fbccaf3e5da7992b01) + - OpenMP 201511 (a.k.a. OpenMP 4.5) + - LAPACK is enabled (usually provided by MKL) + - NNPACK is enabled + - CPU capability usage: AVX512 + - CUDA Runtime 12.1 + - NVCC architecture flags: -gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_90,code=sm_90 + - CuDNN 8.9.2 + - Magma 2.6.1 + - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=12.1, CUDNN_VERSION=8.9.2, CXX_COMPILER=/opt/rh/devtoolset-9/root/usr/bin/c++, CXX_FLAGS= -D_GLIBCXX_USE_CXX11_ABI=0 -fabi-version=11 -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOROCTRACER -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Werror=bool-operation -Wnarrowing -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-strict-overflow -Wno-strict-aliasing -Wno-stringop-overflow -Wsuggest-override -Wno-psabi -Wno-error=pedantic -Wno-error=old-style-cast -Wno-missing-braces -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=2.2.1, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=1, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, USE_ROCM_KERNEL_ASSERT=OFF, + + TorchVision: 0.17.1+cu121 + OpenCV: 4.6.0 + MMEngine: 0.10.5 + +Runtime environment: + cudnn_benchmark: False + mp_cfg: {'mp_start_method': 'fork', 'opencv_num_threads': 0} + dist_cfg: {'backend': 'nccl', 'timeout': 36000} + seed: 624982218 + Distributed launcher: pytorch + Distributed training: True + GPU number: 8 +------------------------------------------------------------ + +2024/11/07 03:11:14 - mmengine - INFO - Config: +auto_scale_lr = dict(base_batch_size=16, enable=True) +backend_args = None +caption_dataset = dict( + actual_dataset_mode='OD', + ann_file='LLaVA-ReCap-558K_tag_box_vg7.json', + backend_args=None, + clean_caption=True, + data_prefix=dict(img='images/'), + data_root='../grounding_data/llava_cap/', + filter_cfg=dict(filter_empty_gt=False), + label_map_file=None, + pipeline=[ + dict(backend_args=None, type='LoadImageFromFile'), + dict(type='LoadAnnotations', with_bbox=True), + dict( + keep_ratio=True, + scales=[ + ( + 480, + 1333, + ), + ( + 512, + 1333, + ), + ( + 544, + 1333, + ), + ( + 576, + 1333, + ), + ( + 608, + 1333, + ), + ( + 640, + 1333, + ), + ( + 672, + 1333, + ), + ( + 704, + 1333, + ), + ( + 736, + 1333, + ), + ( + 768, + 1333, + ), + ( + 800, + 1333, + ), + ], + type='RandomChoiceResize'), + dict(min_gt_bbox_wh=( + 0.01, + 0.01, + ), type='FilterAnnotations'), + dict( + lmm_max_token_length=1600, + max_tokens=256, + num_region_caption=16, + num_sample_negative=85, + tokenizer_name='../huggingface/bert-base-uncased/', + tokenizer_name2= + '../huggingface/my_llava-onevision-qwen2-0.5b-ov-2/', + type='RandomSamplingNegPos2'), + dict( + meta_keys=( + 'img_id', + 'img_path', + 'ori_shape', + 'img_shape', + 'scale_factor', + 'flip', + 'flip_direction', + 'text', + 'tags', + 'contrast_conv', + 'custom_entities', + 'tokens_positive', + 'dataset_mode', + 'conversations', + 'region_conversations', + ), + type='PackDetInputs'), + ], + return_classes=True, + type='ODVGDataset', + use_short_cap=False, + use_uniform_prompt=True) +clean_caption = True +coco2017_train_dataset = dict( + actual_dataset_mode='OD', + ann_file='annotations/instances_train2017_vg_merged6.json', + backend_args=None, + clean_caption=True, + data_prefix=dict(img='train2017'), + data_root='../grounding_data/coco/', + filter_cfg=dict(filter_empty_gt=False), + pipeline=[ + dict(backend_args=None, type='LoadImageFromFile'), + dict(type='LoadAnnotations', with_bbox=True), + dict( + keep_ratio=True, + scales=[ + ( + 480, + 1333, + ), + ( + 512, + 1333, + ), + ( + 544, + 1333, + ), + ( + 576, + 1333, + ), + ( + 608, + 1333, + ), + ( + 640, + 1333, + ), + ( + 672, + 1333, + ), + ( + 704, + 1333, + ), + ( + 736, + 1333, + ), + ( + 768, + 1333, + ), + ( + 800, + 1333, + ), + ], + type='RandomChoiceResize'), + dict(min_gt_bbox_wh=( + 0.01, + 0.01, + ), type='FilterAnnotations'), + dict( + lmm_max_token_length=1600, + max_tokens=256, + num_region_caption=16, + num_sample_negative=85, + tokenizer_name='../huggingface/bert-base-uncased/', + tokenizer_name2= + '../huggingface/my_llava-onevision-qwen2-0.5b-ov-2/', + type='RandomSamplingNegPos2'), + dict( + meta_keys=( + 'img_id', + 'img_path', + 'ori_shape', + 'img_shape', + 'scale_factor', + 'flip', + 'flip_direction', + 'text', + 'tags', + 'contrast_conv', + 'custom_entities', + 'tokens_positive', + 'dataset_mode', + 'conversations', + 'region_conversations', + ), + type='PackDetInputs'), + ], + return_classes=True, + type='ODVGDataset', + use_short_cap=False, + use_uniform_prompt=True) +data_root = '../grounding_data/coco/' +dataset_type = 'LVISV1Dataset' +default_hooks = dict( + checkpoint=dict( + by_epoch=False, + interval=30000, + max_keep_ckpts=30, + type='CheckpointHook'), + logger=dict(interval=100, type='LoggerHook'), + param_scheduler=dict(type='ParamSchedulerHook'), + sampler_seed=dict(type='DistSamplerSeedHook'), + timer=dict(type='IterTimerHook'), + visualization=dict(type='GroundingVisualizationHook')) +default_scope = 'mmdet' +env_cfg = dict( + cudnn_benchmark=False, + dist_cfg=dict(backend='nccl', timeout=36000), + mp_cfg=dict(mp_start_method='fork', opencv_num_threads=0)) +flickr30k_dataset = dict( + actual_dataset_mode='VG', + ann_file='flickr_train_vg7.json', + backend_args=None, + clean_caption=True, + data_prefix=dict(img='flickr30k_images/'), + data_root='../grounding_data/flickr30k_entities/', + filter_cfg=dict(filter_empty_gt=False), + label_map_file=None, + pipeline=[ + dict(backend_args=None, type='LoadImageFromFile'), + dict(type='LoadAnnotations', with_bbox=True), + dict( + keep_ratio=True, + scales=[ + ( + 480, + 1333, + ), + ( + 512, + 1333, + ), + ( + 544, + 1333, + ), + ( + 576, + 1333, + ), + ( + 608, + 1333, + ), + ( + 640, + 1333, + ), + ( + 672, + 1333, + ), + ( + 704, + 1333, + ), + ( + 736, + 1333, + ), + ( + 768, + 1333, + ), + ( + 800, + 1333, + ), + ], + type='RandomChoiceResize'), + dict(min_gt_bbox_wh=( + 0.01, + 0.01, + ), type='FilterAnnotations'), + dict( + lmm_max_token_length=1600, + max_tokens=256, + num_region_caption=16, + num_sample_negative=85, + tokenizer_name='../huggingface/bert-base-uncased/', + tokenizer_name2= + '../huggingface/my_llava-onevision-qwen2-0.5b-ov-2/', + type='RandomSamplingNegPos2'), + dict( + meta_keys=( + 'img_id', + 'img_path', + 'ori_shape', + 'img_shape', + 'scale_factor', + 'flip', + 'flip_direction', + 'text', + 'tags', + 'contrast_conv', + 'custom_entities', + 'tokens_positive', + 'dataset_mode', + 'conversations', + 'region_conversations', + ), + type='PackDetInputs'), + ], + return_classes=True, + type='ODVGDataset', + use_short_cap=False, + use_uniform_prompt=True) +gqa_dataset = dict( + actual_dataset_mode='VG', + ann_file='gqa_train_vg7.json', + backend_args=None, + clean_caption=True, + data_prefix=dict(img='images/'), + data_root='../grounding_data/gqa/', + filter_cfg=dict(filter_empty_gt=False), + label_map_file=None, + pipeline=[ + dict(backend_args=None, type='LoadImageFromFile'), + dict(type='LoadAnnotations', with_bbox=True), + dict( + keep_ratio=True, + scales=[ + ( + 480, + 1333, + ), + ( + 512, + 1333, + ), + ( + 544, + 1333, + ), + ( + 576, + 1333, + ), + ( + 608, + 1333, + ), + ( + 640, + 1333, + ), + ( + 672, + 1333, + ), + ( + 704, + 1333, + ), + ( + 736, + 1333, + ), + ( + 768, + 1333, + ), + ( + 800, + 1333, + ), + ], + type='RandomChoiceResize'), + dict(min_gt_bbox_wh=( + 0.01, + 0.01, + ), type='FilterAnnotations'), + dict( + lmm_max_token_length=1600, + max_tokens=256, + num_region_caption=16, + num_sample_negative=85, + tokenizer_name='../huggingface/bert-base-uncased/', + tokenizer_name2= + '../huggingface/my_llava-onevision-qwen2-0.5b-ov-2/', + type='RandomSamplingNegPos2'), + dict( + meta_keys=( + 'img_id', + 'img_path', + 'ori_shape', + 'img_shape', + 'scale_factor', + 'flip', + 'flip_direction', + 'text', + 'tags', + 'contrast_conv', + 'custom_entities', + 'tokens_positive', + 'dataset_mode', + 'conversations', + 'region_conversations', + ), + type='PackDetInputs'), + ], + return_classes=True, + type='ODVGDataset', + use_short_cap=False, + use_uniform_prompt=True) +lang_model_name = '../huggingface/bert-base-uncased/' +launcher = 'pytorch' +lmm_max_token_length = 1600 +lmm_path = '../huggingface/my_llava-onevision-qwen2-0.5b-ov-2/' +load_from = '../huggingface/mm_grounding_dino/grounding_dino_swin-t_pretrain_obj365_goldg_grit9m_v3det_20231204_095047-b448804b.pth' +log_level = 'INFO' +log_processor = dict(by_epoch=False, type='LogProcessor', window_size=50) +max_iter = 150000 +model = dict( + as_two_stage=True, + backbone=dict( + attn_drop_rate=0.0, + convert_weights=True, + depths=[ + 2, + 2, + 6, + 2, + ], + drop_path_rate=0.2, + drop_rate=0.0, + embed_dims=96, + frozen_stages=-1, + init_cfg=dict(checkpoint=None, type='Pretrained'), + mlp_ratio=4, + num_heads=[ + 3, + 6, + 12, + 24, + ], + out_indices=( + 1, + 2, + 3, + ), + patch_norm=True, + qk_scale=None, + qkv_bias=True, + type='SwinTransformer', + window_size=7, + with_cp=True), + bbox_head=dict( + contrastive_cfg=dict(bias=True, log_scale='auto', max_text_len=256), + loss_bbox=dict(loss_weight=5.0, type='L1Loss'), + loss_cls=dict( + alpha=0.25, + gamma=2.0, + loss_weight=1.0, + type='FocalLoss', + use_sigmoid=True), + num_classes=256, + sync_cls_avg_factor=True, + type='GroundingDINOHead'), + data_preprocessor=dict( + bgr_to_rgb=True, + mean=[ + 123.675, + 116.28, + 103.53, + ], + pad_mask=False, + std=[ + 58.395, + 57.12, + 57.375, + ], + type='DetDataPreprocessor'), + decoder=dict( + layer_cfg=dict( + cross_attn_cfg=dict(dropout=0.0, embed_dims=256, num_heads=8), + cross_attn_text_cfg=dict(dropout=0.0, embed_dims=256, num_heads=8), + ffn_cfg=dict( + embed_dims=256, feedforward_channels=2048, ffn_drop=0.0), + self_attn_cfg=dict(dropout=0.0, embed_dims=256, num_heads=8)), + num_layers=6, + post_norm_cfg=None, + return_intermediate=True), + dn_cfg=dict( + box_noise_scale=1.0, + group_cfg=dict(dynamic=True, num_dn_queries=100, num_groups=None), + label_noise_scale=0.5), + encoder=dict( + fusion_layer_cfg=dict( + embed_dim=1024, + init_values=0.0001, + l_dim=256, + num_heads=4, + v_dim=256), + layer_cfg=dict( + ffn_cfg=dict( + embed_dims=256, feedforward_channels=2048, ffn_drop=0.0), + self_attn_cfg=dict(dropout=0.0, embed_dims=256, num_levels=4)), + num_cp=6, + num_layers=6, + text_layer_cfg=dict( + ffn_cfg=dict( + embed_dims=256, feedforward_channels=1024, ffn_drop=0.0), + self_attn_cfg=dict(dropout=0.0, embed_dims=256, num_heads=4))), + feature_map_size=27, + freeze_backbone=True, + freeze_lm=False, + language_model=dict( + add_pooling_layer=False, + max_tokens=256, + name='../huggingface/bert-base-uncased/', + pad_to_max=False, + special_tokens_list=[ + '[CLS]', + '[SEP]', + '.', + '?', + ], + type='BertModel', + use_sub_sentence_represent=True), + lmm='../huggingface/my_llava-onevision-qwen2-0.5b-ov-2/', + lmm_connector= + '../huggingface/my_llava-onevision-qwen2-0.5b-ov-2/mm_projector2.bin', + lmm_connector_prefix='mm_projector', + lmm_image_loss_weight=1.0, + lmm_max_token_length=1600, + lmm_new_layer_insert_type='all', + lmm_region_loss_weight=1.0, + lora_alpha=256, + lora_dropout=0, + lora_r=128, + mini_query=False, + neck=dict( + act_cfg=None, + bias=True, + in_channels=[ + 192, + 384, + 768, + ], + kernel_size=1, + norm_cfg=dict(num_groups=32, type='GN'), + num_outs=4, + out_channels=256, + type='ChannelMapper'), + num_lmm_new_layers=6, + num_queries=900, + num_region_caption=16, + positional_encoding=dict( + normalize=True, num_feats=128, offset=0.0, temperature=20), + test_cfg=dict(chunked_size=40, max_per_img=300), + train_cfg=dict( + assigner=dict( + match_costs=[ + dict(type='BinaryFocalLossCost', weight=2.0), + dict(box_format='xywh', type='BBoxL1Cost', weight=5.0), + dict(iou_mode='giou', type='IoUCost', weight=2.0), + ], + type='HungarianAssigner')), + type='GroundingDINO', + use_lmm_cross_attn=True, + use_lora=True, + use_p4_input=False, + use_p5_input=True, + use_plora=False, + use_query_input=False, + use_query_input_cross_attn=False, + with_box_refine=True) +num_region_caption = 16 +optim_wrapper = dict( + clip_grad=dict(max_norm=0.1, norm_type=2), + loss_scale='dynamic', + optimizer=dict(lr=0.0001, type='AdamW', weight_decay=0.0001), + paramwise_cfg=dict( + custom_keys=dict( + absolute_pos_embed=dict(decay_mult=0.0), + backbone=dict(lr_mult=0.1), + language_model=dict(lr_mult=0.1))), + type='AmpOptimWrapper') +param_scheduler = [ + dict( + begin=0, by_epoch=False, end=1000, start_factor=0.001, + type='LinearLR'), + dict( + begin=0, + by_epoch=False, + end=150000, + gamma=0.1, + milestones=[ + 120000, + 140000, + ], + type='MultiStepLR'), +] +pretrained = None +randomness = dict(seed=624982218) +resume = False +test_cfg = dict(type='TestLoop') +test_dataloader = dict( + batch_size=1, + dataset=dict( + ann_file='annotations/lvis_v1_minival_inserted_image_name.json', + backend_args=None, + data_prefix=dict(img=''), + data_root='../grounding_data/coco/', + pipeline=[ + dict( + backend_args=None, + imdecode_backend='pillow', + type='LoadImageFromFile'), + dict( + backend='pillow', + keep_ratio=True, + scale=( + 800, + 1333, + ), + type='FixScaleResize'), + dict(type='LoadAnnotations', with_bbox=True), + dict( + meta_keys=( + 'img_id', + 'img_path', + 'ori_shape', + 'img_shape', + 'scale_factor', + 'text', + 'custom_entities', + 'tokens_positive', + ), + type='PackDetInputs'), + ], + return_classes=True, + test_mode=True, + type='LVISV1Dataset'), + drop_last=False, + num_workers=2, + persistent_workers=True, + sampler=dict(shuffle=False, type='DefaultSampler')) +test_evaluator = dict( + ann_file= + '../grounding_data/coco/annotations/lvis_v1_minival_inserted_image_name.json', + type='LVISFixedAPMetric') +test_pipeline = [ + dict( + backend_args=None, imdecode_backend='pillow', + type='LoadImageFromFile'), + dict( + backend='pillow', + keep_ratio=True, + scale=( + 800, + 1333, + ), + type='FixScaleResize'), + dict(type='LoadAnnotations', with_bbox=True), + dict( + meta_keys=( + 'img_id', + 'img_path', + 'ori_shape', + 'img_shape', + 'scale_factor', + 'text', + 'custom_entities', + 'tokens_positive', + ), + type='PackDetInputs'), +] +train_cfg = dict( + max_iters=150000, type='IterBasedTrainLoop', val_interval=30000) +train_dataloader = dict( + batch_sampler=dict(type='AspectRatioBatchSampler'), + batch_size=2, + dataset=dict( + datasets=[ + dict( + actual_dataset_mode='OD', + ann_file='annotations/instances_train2017_vg_merged6.json', + backend_args=None, + clean_caption=True, + data_prefix=dict(img='train2017'), + data_root='../grounding_data/coco/', + filter_cfg=dict(filter_empty_gt=False), + pipeline=[ + dict(backend_args=None, type='LoadImageFromFile'), + dict(type='LoadAnnotations', with_bbox=True), + dict( + keep_ratio=True, + scales=[ + ( + 480, + 1333, + ), + ( + 512, + 1333, + ), + ( + 544, + 1333, + ), + ( + 576, + 1333, + ), + ( + 608, + 1333, + ), + ( + 640, + 1333, + ), + ( + 672, + 1333, + ), + ( + 704, + 1333, + ), + ( + 736, + 1333, + ), + ( + 768, + 1333, + ), + ( + 800, + 1333, + ), + ], + type='RandomChoiceResize'), + dict( + min_gt_bbox_wh=( + 0.01, + 0.01, + ), + type='FilterAnnotations'), + dict( + lmm_max_token_length=1600, + max_tokens=256, + num_region_caption=16, + num_sample_negative=85, + tokenizer_name='../huggingface/bert-base-uncased/', + tokenizer_name2= + '../huggingface/my_llava-onevision-qwen2-0.5b-ov-2/', + type='RandomSamplingNegPos2'), + dict( + meta_keys=( + 'img_id', + 'img_path', + 'ori_shape', + 'img_shape', + 'scale_factor', + 'flip', + 'flip_direction', + 'text', + 'tags', + 'contrast_conv', + 'custom_entities', + 'tokens_positive', + 'dataset_mode', + 'conversations', + 'region_conversations', + ), + type='PackDetInputs'), + ], + return_classes=True, + type='ODVGDataset', + use_short_cap=False, + use_uniform_prompt=True), + dict( + actual_dataset_mode='VG', + ann_file='flickr_train_vg7.json', + backend_args=None, + clean_caption=True, + data_prefix=dict(img='flickr30k_images/'), + data_root='../grounding_data/flickr30k_entities/', + filter_cfg=dict(filter_empty_gt=False), + label_map_file=None, + pipeline=[ + dict(backend_args=None, type='LoadImageFromFile'), + dict(type='LoadAnnotations', with_bbox=True), + dict( + keep_ratio=True, + scales=[ + ( + 480, + 1333, + ), + ( + 512, + 1333, + ), + ( + 544, + 1333, + ), + ( + 576, + 1333, + ), + ( + 608, + 1333, + ), + ( + 640, + 1333, + ), + ( + 672, + 1333, + ), + ( + 704, + 1333, + ), + ( + 736, + 1333, + ), + ( + 768, + 1333, + ), + ( + 800, + 1333, + ), + ], + type='RandomChoiceResize'), + dict( + min_gt_bbox_wh=( + 0.01, + 0.01, + ), + type='FilterAnnotations'), + dict( + lmm_max_token_length=1600, + max_tokens=256, + num_region_caption=16, + num_sample_negative=85, + tokenizer_name='../huggingface/bert-base-uncased/', + tokenizer_name2= + '../huggingface/my_llava-onevision-qwen2-0.5b-ov-2/', + type='RandomSamplingNegPos2'), + dict( + meta_keys=( + 'img_id', + 'img_path', + 'ori_shape', + 'img_shape', + 'scale_factor', + 'flip', + 'flip_direction', + 'text', + 'tags', + 'contrast_conv', + 'custom_entities', + 'tokens_positive', + 'dataset_mode', + 'conversations', + 'region_conversations', + ), + type='PackDetInputs'), + ], + return_classes=True, + type='ODVGDataset', + use_short_cap=False, + use_uniform_prompt=True), + dict( + actual_dataset_mode='VG', + ann_file='gqa_train_vg7.json', + backend_args=None, + clean_caption=True, + data_prefix=dict(img='images/'), + data_root='../grounding_data/gqa/', + filter_cfg=dict(filter_empty_gt=False), + label_map_file=None, + pipeline=[ + dict(backend_args=None, type='LoadImageFromFile'), + dict(type='LoadAnnotations', with_bbox=True), + dict( + keep_ratio=True, + scales=[ + ( + 480, + 1333, + ), + ( + 512, + 1333, + ), + ( + 544, + 1333, + ), + ( + 576, + 1333, + ), + ( + 608, + 1333, + ), + ( + 640, + 1333, + ), + ( + 672, + 1333, + ), + ( + 704, + 1333, + ), + ( + 736, + 1333, + ), + ( + 768, + 1333, + ), + ( + 800, + 1333, + ), + ], + type='RandomChoiceResize'), + dict( + min_gt_bbox_wh=( + 0.01, + 0.01, + ), + type='FilterAnnotations'), + dict( + lmm_max_token_length=1600, + max_tokens=256, + num_region_caption=16, + num_sample_negative=85, + tokenizer_name='../huggingface/bert-base-uncased/', + tokenizer_name2= + '../huggingface/my_llava-onevision-qwen2-0.5b-ov-2/', + type='RandomSamplingNegPos2'), + dict( + meta_keys=( + 'img_id', + 'img_path', + 'ori_shape', + 'img_shape', + 'scale_factor', + 'flip', + 'flip_direction', + 'text', + 'tags', + 'contrast_conv', + 'custom_entities', + 'tokens_positive', + 'dataset_mode', + 'conversations', + 'region_conversations', + ), + type='PackDetInputs'), + ], + return_classes=True, + type='ODVGDataset', + use_short_cap=False, + use_uniform_prompt=True), + dict( + actual_dataset_mode='OD', + ann_file='LLaVA-ReCap-558K_tag_box_vg7.json', + backend_args=None, + clean_caption=True, + data_prefix=dict(img='images/'), + data_root='../grounding_data/llava_cap/', + filter_cfg=dict(filter_empty_gt=False), + label_map_file=None, + pipeline=[ + dict(backend_args=None, type='LoadImageFromFile'), + dict(type='LoadAnnotations', with_bbox=True), + dict( + keep_ratio=True, + scales=[ + ( + 480, + 1333, + ), + ( + 512, + 1333, + ), + ( + 544, + 1333, + ), + ( + 576, + 1333, + ), + ( + 608, + 1333, + ), + ( + 640, + 1333, + ), + ( + 672, + 1333, + ), + ( + 704, + 1333, + ), + ( + 736, + 1333, + ), + ( + 768, + 1333, + ), + ( + 800, + 1333, + ), + ], + type='RandomChoiceResize'), + dict( + min_gt_bbox_wh=( + 0.01, + 0.01, + ), + type='FilterAnnotations'), + dict( + lmm_max_token_length=1600, + max_tokens=256, + num_region_caption=16, + num_sample_negative=85, + tokenizer_name='../huggingface/bert-base-uncased/', + tokenizer_name2= + '../huggingface/my_llava-onevision-qwen2-0.5b-ov-2/', + type='RandomSamplingNegPos2'), + dict( + meta_keys=( + 'img_id', + 'img_path', + 'ori_shape', + 'img_shape', + 'scale_factor', + 'flip', + 'flip_direction', + 'text', + 'tags', + 'contrast_conv', + 'custom_entities', + 'tokens_positive', + 'dataset_mode', + 'conversations', + 'region_conversations', + ), + type='PackDetInputs'), + ], + return_classes=True, + type='ODVGDataset', + use_short_cap=False, + use_uniform_prompt=True), + dict( + actual_dataset_mode='OD', + ann_file='annotations/v3det_2023_v1_train_vg7.json', + backend_args=None, + clean_caption=True, + data_prefix=dict(img=''), + data_root='../grounding_data/v3det/', + filter_cfg=dict(filter_empty_gt=False), + label_map_file=None, + pipeline=[ + dict(backend_args=None, type='LoadImageFromFile'), + dict(type='LoadAnnotations', with_bbox=True), + dict( + keep_ratio=True, + scales=[ + ( + 480, + 1333, + ), + ( + 512, + 1333, + ), + ( + 544, + 1333, + ), + ( + 576, + 1333, + ), + ( + 608, + 1333, + ), + ( + 640, + 1333, + ), + ( + 672, + 1333, + ), + ( + 704, + 1333, + ), + ( + 736, + 1333, + ), + ( + 768, + 1333, + ), + ( + 800, + 1333, + ), + ], + type='RandomChoiceResize'), + dict( + min_gt_bbox_wh=( + 0.01, + 0.01, + ), + type='FilterAnnotations'), + dict( + lmm_max_token_length=1600, + max_tokens=256, + num_region_caption=16, + num_sample_negative=85, + tokenizer_name='../huggingface/bert-base-uncased/', + tokenizer_name2= + '../huggingface/my_llava-onevision-qwen2-0.5b-ov-2/', + type='RandomSamplingNegPos2'), + dict( + meta_keys=( + 'img_id', + 'img_path', + 'ori_shape', + 'img_shape', + 'scale_factor', + 'flip', + 'flip_direction', + 'text', + 'tags', + 'contrast_conv', + 'custom_entities', + 'tokens_positive', + 'dataset_mode', + 'conversations', + 'region_conversations', + ), + type='PackDetInputs'), + ], + return_classes=True, + type='ODVGDataset', + use_short_cap=False, + use_uniform_prompt=True), + ], + type='ConcatDataset'), + num_workers=4, + persistent_workers=True, + sampler=dict(shuffle=True, type='DefaultSampler')) +train_pipeline = [ + dict(backend_args=None, type='LoadImageFromFile'), + dict(type='LoadAnnotations', with_bbox=True), + dict( + keep_ratio=True, + scales=[ + ( + 480, + 1333, + ), + ( + 512, + 1333, + ), + ( + 544, + 1333, + ), + ( + 576, + 1333, + ), + ( + 608, + 1333, + ), + ( + 640, + 1333, + ), + ( + 672, + 1333, + ), + ( + 704, + 1333, + ), + ( + 736, + 1333, + ), + ( + 768, + 1333, + ), + ( + 800, + 1333, + ), + ], + type='RandomChoiceResize'), + dict(min_gt_bbox_wh=( + 0.01, + 0.01, + ), type='FilterAnnotations'), + dict( + lmm_max_token_length=1600, + max_tokens=256, + num_region_caption=16, + num_sample_negative=85, + tokenizer_name='../huggingface/bert-base-uncased/', + tokenizer_name2='../huggingface/my_llava-onevision-qwen2-0.5b-ov-2/', + type='RandomSamplingNegPos2'), + dict( + meta_keys=( + 'img_id', + 'img_path', + 'ori_shape', + 'img_shape', + 'scale_factor', + 'flip', + 'flip_direction', + 'text', + 'tags', + 'contrast_conv', + 'custom_entities', + 'tokens_positive', + 'dataset_mode', + 'conversations', + 'region_conversations', + ), + type='PackDetInputs'), +] +use_short_cap = False +use_uniform_prompt = True +v3det_dataset = dict( + actual_dataset_mode='OD', + ann_file='annotations/v3det_2023_v1_train_vg7.json', + backend_args=None, + clean_caption=True, + data_prefix=dict(img=''), + data_root='../grounding_data/v3det/', + filter_cfg=dict(filter_empty_gt=False), + label_map_file=None, + pipeline=[ + dict(backend_args=None, type='LoadImageFromFile'), + dict(type='LoadAnnotations', with_bbox=True), + dict( + keep_ratio=True, + scales=[ + ( + 480, + 1333, + ), + ( + 512, + 1333, + ), + ( + 544, + 1333, + ), + ( + 576, + 1333, + ), + ( + 608, + 1333, + ), + ( + 640, + 1333, + ), + ( + 672, + 1333, + ), + ( + 704, + 1333, + ), + ( + 736, + 1333, + ), + ( + 768, + 1333, + ), + ( + 800, + 1333, + ), + ], + type='RandomChoiceResize'), + dict(min_gt_bbox_wh=( + 0.01, + 0.01, + ), type='FilterAnnotations'), + dict( + lmm_max_token_length=1600, + max_tokens=256, + num_region_caption=16, + num_sample_negative=85, + tokenizer_name='../huggingface/bert-base-uncased/', + tokenizer_name2= + '../huggingface/my_llava-onevision-qwen2-0.5b-ov-2/', + type='RandomSamplingNegPos2'), + dict( + meta_keys=( + 'img_id', + 'img_path', + 'ori_shape', + 'img_shape', + 'scale_factor', + 'flip', + 'flip_direction', + 'text', + 'tags', + 'contrast_conv', + 'custom_entities', + 'tokens_positive', + 'dataset_mode', + 'conversations', + 'region_conversations', + ), + type='PackDetInputs'), + ], + return_classes=True, + type='ODVGDataset', + use_short_cap=False, + use_uniform_prompt=True) +val_cfg = dict(type='ValLoop') +val_dataloader = dict( + batch_size=1, + dataset=dict( + ann_file='annotations/lvis_v1_minival_inserted_image_name.json', + backend_args=None, + data_prefix=dict(img=''), + data_root='../grounding_data/coco/', + pipeline=[ + dict( + backend_args=None, + imdecode_backend='pillow', + type='LoadImageFromFile'), + dict( + backend='pillow', + keep_ratio=True, + scale=( + 800, + 1333, + ), + type='FixScaleResize'), + dict(type='LoadAnnotations', with_bbox=True), + dict( + meta_keys=( + 'img_id', + 'img_path', + 'ori_shape', + 'img_shape', + 'scale_factor', + 'text', + 'custom_entities', + 'tokens_positive', + ), + type='PackDetInputs'), + ], + return_classes=True, + test_mode=True, + type='LVISV1Dataset'), + drop_last=False, + num_workers=2, + persistent_workers=True, + sampler=dict(shuffle=False, type='DefaultSampler')) +val_evaluator = dict( + ann_file= + '../grounding_data/coco/annotations/lvis_v1_minival_inserted_image_name.json', + type='LVISFixedAPMetric') +vis_backends = [ + dict(type='LocalVisBackend'), +] +visualizer = dict( + name='visualizer', + type='DetLocalVisualizer', + vis_backends=[ + dict(type='LocalVisBackend'), + ]) +work_dir = './work_dirs/grounding_dino_swin_t_3' + +2024/11/07 03:17:00 - mmengine - INFO - Hooks will be executed in the following order: +before_run: +(VERY_HIGH ) RuntimeInfoHook +(BELOW_NORMAL) LoggerHook + -------------------- +before_train: +(VERY_HIGH ) RuntimeInfoHook +(NORMAL ) IterTimerHook +(VERY_LOW ) CheckpointHook + -------------------- +before_train_epoch: +(VERY_HIGH ) RuntimeInfoHook +(NORMAL ) IterTimerHook +(NORMAL ) DistSamplerSeedHook + -------------------- +before_train_iter: +(VERY_HIGH ) RuntimeInfoHook +(NORMAL ) IterTimerHook + -------------------- +after_train_iter: +(VERY_HIGH ) RuntimeInfoHook +(NORMAL ) IterTimerHook +(BELOW_NORMAL) LoggerHook +(LOW ) ParamSchedulerHook +(VERY_LOW ) CheckpointHook + -------------------- +after_train_epoch: +(NORMAL ) IterTimerHook +(LOW ) ParamSchedulerHook +(VERY_LOW ) CheckpointHook + -------------------- +before_val: +(VERY_HIGH ) RuntimeInfoHook + -------------------- +before_val_epoch: +(NORMAL ) IterTimerHook + -------------------- +before_val_iter: +(NORMAL ) IterTimerHook + -------------------- +after_val_iter: +(NORMAL ) IterTimerHook +(NORMAL ) GroundingVisualizationHook +(BELOW_NORMAL) LoggerHook + -------------------- +after_val_epoch: +(VERY_HIGH ) RuntimeInfoHook +(NORMAL ) IterTimerHook +(BELOW_NORMAL) LoggerHook +(LOW ) ParamSchedulerHook +(VERY_LOW ) CheckpointHook + -------------------- +after_val: +(VERY_HIGH ) RuntimeInfoHook + -------------------- +after_train: +(VERY_HIGH ) RuntimeInfoHook +(VERY_LOW ) CheckpointHook + -------------------- +before_test: +(VERY_HIGH ) RuntimeInfoHook + -------------------- +before_test_epoch: +(NORMAL ) IterTimerHook + -------------------- +before_test_iter: +(NORMAL ) IterTimerHook + -------------------- +after_test_iter: +(NORMAL ) IterTimerHook +(NORMAL ) GroundingVisualizationHook +(BELOW_NORMAL) LoggerHook + -------------------- +after_test_epoch: +(VERY_HIGH ) RuntimeInfoHook +(NORMAL ) IterTimerHook +(BELOW_NORMAL) LoggerHook + -------------------- +after_test: +(VERY_HIGH ) RuntimeInfoHook + -------------------- +after_run: +(BELOW_NORMAL) LoggerHook + -------------------- +2024/11/07 03:26:24 - mmengine - WARNING - backbone.patch_embed.projection.weight is skipped since its requires_grad=False +2024/11/07 03:26:24 - mmengine - WARNING - backbone.patch_embed.projection.bias is skipped since its requires_grad=False +2024/11/07 03:26:24 - mmengine - WARNING - backbone.patch_embed.norm.weight is skipped since its requires_grad=False +2024/11/07 03:26:24 - mmengine - WARNING - 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-- language_model.language_backbone.body.model.encoder.layer.0.intermediate.dense.weight:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.0.intermediate.dense.weight:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.0.intermediate.dense.bias:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.0.intermediate.dense.bias:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.0.intermediate.dense.bias:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.0.output.dense.weight:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.0.output.dense.weight:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.0.output.dense.weight:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.0.output.dense.bias:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.0.output.dense.bias:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.0.output.dense.bias:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.0.output.LayerNorm.weight:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.0.output.LayerNorm.weight:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.0.output.LayerNorm.weight:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.0.output.LayerNorm.bias:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.0.output.LayerNorm.bias:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.0.output.LayerNorm.bias:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.1.attention.self.query.weight:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.1.attention.self.query.weight:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.1.attention.self.query.weight:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.1.attention.self.query.bias:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.1.attention.self.query.bias:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.1.attention.self.query.bias:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.1.attention.self.key.weight:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.1.attention.self.key.weight:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.1.attention.self.key.weight:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.1.attention.self.key.bias:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.1.attention.self.key.bias:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.1.attention.self.key.bias:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.1.attention.self.value.weight:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.1.attention.self.value.weight:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.1.attention.self.value.weight:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.1.attention.self.value.bias:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.1.attention.self.value.bias:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.1.attention.self.value.bias:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.1.attention.output.dense.weight:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.1.attention.output.dense.weight:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.1.attention.output.dense.weight:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.1.attention.output.dense.bias:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.1.attention.output.dense.bias:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.1.attention.output.dense.bias:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.1.attention.output.LayerNorm.weight:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.1.attention.output.LayerNorm.weight:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.1.attention.output.LayerNorm.weight:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.1.attention.output.LayerNorm.bias:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.1.attention.output.LayerNorm.bias:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.1.attention.output.LayerNorm.bias:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.1.intermediate.dense.weight:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.1.intermediate.dense.weight:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.1.intermediate.dense.weight:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.1.intermediate.dense.bias:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.1.intermediate.dense.bias:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.1.intermediate.dense.bias:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.1.output.dense.weight:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.1.output.dense.weight:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.1.output.dense.weight:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.1.output.dense.bias:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.1.output.dense.bias:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.1.output.dense.bias:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.1.output.LayerNorm.weight:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.1.output.LayerNorm.weight:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.1.output.LayerNorm.weight:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.1.output.LayerNorm.bias:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.1.output.LayerNorm.bias:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.1.output.LayerNorm.bias:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.2.attention.self.query.weight:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.2.attention.self.query.weight:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.2.attention.self.query.weight:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.2.attention.self.query.bias:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.2.attention.self.query.bias:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.2.attention.self.query.bias:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.2.attention.self.key.weight:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.2.attention.self.key.weight:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.2.attention.self.key.weight:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.2.attention.self.key.bias:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.2.attention.self.key.bias:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.2.attention.self.key.bias:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.2.attention.self.value.weight:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.2.attention.self.value.weight:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.2.attention.self.value.weight:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.2.attention.self.value.bias:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.2.attention.self.value.bias:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.2.attention.self.value.bias:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.2.attention.output.dense.weight:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.2.attention.output.dense.weight:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.2.attention.output.dense.weight:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.2.attention.output.dense.bias:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.2.attention.output.dense.bias:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.2.attention.output.dense.bias:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.2.attention.output.LayerNorm.weight:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.2.attention.output.LayerNorm.weight:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.2.attention.output.LayerNorm.weight:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.2.attention.output.LayerNorm.bias:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.2.attention.output.LayerNorm.bias:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.2.attention.output.LayerNorm.bias:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.2.intermediate.dense.weight:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.2.intermediate.dense.weight:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.2.intermediate.dense.weight:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.2.intermediate.dense.bias:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.2.intermediate.dense.bias:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.2.intermediate.dense.bias:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.2.output.dense.weight:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.2.output.dense.weight:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.2.output.dense.weight:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.2.output.dense.bias:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.2.output.dense.bias:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.2.output.dense.bias:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.2.output.LayerNorm.weight:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.2.output.LayerNorm.weight:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.2.output.LayerNorm.weight:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.2.output.LayerNorm.bias:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.2.output.LayerNorm.bias:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.2.output.LayerNorm.bias:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.3.attention.self.query.weight:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.3.attention.self.query.weight:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.3.attention.self.query.weight:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.3.attention.self.query.bias:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.3.attention.self.query.bias:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.3.attention.self.query.bias:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.3.attention.self.key.weight:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.3.attention.self.key.weight:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.3.attention.self.key.weight:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.3.attention.self.key.bias:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.3.attention.self.key.bias:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.3.attention.self.key.bias:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.3.attention.self.value.weight:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.3.attention.self.value.weight:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.3.attention.self.value.weight:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.3.attention.self.value.bias:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.3.attention.self.value.bias:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.3.attention.self.value.bias:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.3.attention.output.dense.weight:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.3.attention.output.dense.weight:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.3.attention.output.dense.weight:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.3.attention.output.dense.bias:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.3.attention.output.dense.bias:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.3.attention.output.dense.bias:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.3.attention.output.LayerNorm.weight:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.3.attention.output.LayerNorm.weight:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.3.attention.output.LayerNorm.weight:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.3.attention.output.LayerNorm.bias:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.3.attention.output.LayerNorm.bias:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.3.attention.output.LayerNorm.bias:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.3.intermediate.dense.weight:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.3.intermediate.dense.weight:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.3.intermediate.dense.weight:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.3.intermediate.dense.bias:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.3.intermediate.dense.bias:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.3.intermediate.dense.bias:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.3.output.dense.weight:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.3.output.dense.weight:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.3.output.dense.weight:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.3.output.dense.bias:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.3.output.dense.bias:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.3.output.dense.bias:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.3.output.LayerNorm.weight:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.3.output.LayerNorm.weight:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.3.output.LayerNorm.weight:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.3.output.LayerNorm.bias:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.3.output.LayerNorm.bias:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.3.output.LayerNorm.bias:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.4.attention.self.query.weight:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.4.attention.self.query.weight:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.4.attention.self.query.weight:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.4.attention.self.query.bias:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.4.attention.self.query.bias:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.4.attention.self.query.bias:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.4.attention.self.key.weight:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.4.attention.self.key.weight:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.4.attention.self.key.weight:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.4.attention.self.key.bias:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.4.attention.self.key.bias:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.4.attention.self.key.bias:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.4.attention.self.value.weight:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.4.attention.self.value.weight:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.4.attention.self.value.weight:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.4.attention.self.value.bias:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.4.attention.self.value.bias:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.4.attention.self.value.bias:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.4.attention.output.dense.weight:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.4.attention.output.dense.weight:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.4.attention.output.dense.weight:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.4.attention.output.dense.bias:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.4.attention.output.dense.bias:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.4.attention.output.dense.bias:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.4.attention.output.LayerNorm.weight:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.4.attention.output.LayerNorm.weight:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.4.attention.output.LayerNorm.weight:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.4.attention.output.LayerNorm.bias:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.4.attention.output.LayerNorm.bias:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.4.attention.output.LayerNorm.bias:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.4.intermediate.dense.weight:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.4.intermediate.dense.weight:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.4.intermediate.dense.weight:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.4.intermediate.dense.bias:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.4.intermediate.dense.bias:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.4.intermediate.dense.bias:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.4.output.dense.weight:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.4.output.dense.weight:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.4.output.dense.weight:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.4.output.dense.bias:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.4.output.dense.bias:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.4.output.dense.bias:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.4.output.LayerNorm.weight:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.4.output.LayerNorm.weight:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.4.output.LayerNorm.weight:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.4.output.LayerNorm.bias:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.4.output.LayerNorm.bias:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.4.output.LayerNorm.bias:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.5.attention.self.query.weight:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.5.attention.self.query.weight:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.5.attention.self.query.weight:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.5.attention.self.query.bias:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.5.attention.self.query.bias:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.5.attention.self.query.bias:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.5.attention.self.key.weight:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.5.attention.self.key.weight:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.5.attention.self.key.weight:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.5.attention.self.key.bias:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.5.attention.self.key.bias:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.5.attention.self.key.bias:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.5.attention.self.value.weight:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.5.attention.self.value.weight:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.5.attention.self.value.weight:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.5.attention.self.value.bias:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.5.attention.self.value.bias:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.5.attention.self.value.bias:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.5.attention.output.dense.weight:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.5.attention.output.dense.weight:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.5.attention.output.dense.weight:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.5.attention.output.dense.bias:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.5.attention.output.dense.bias:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.5.attention.output.dense.bias:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.5.attention.output.LayerNorm.weight:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.5.attention.output.LayerNorm.weight:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.5.attention.output.LayerNorm.weight:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.5.attention.output.LayerNorm.bias:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.5.attention.output.LayerNorm.bias:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.5.attention.output.LayerNorm.bias:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.5.intermediate.dense.weight:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.5.intermediate.dense.weight:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.5.intermediate.dense.weight:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.5.intermediate.dense.bias:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.5.intermediate.dense.bias:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.5.intermediate.dense.bias:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.5.output.dense.weight:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.5.output.dense.weight:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.5.output.dense.weight:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.5.output.dense.bias:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.5.output.dense.bias:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.5.output.dense.bias:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.5.output.LayerNorm.weight:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.5.output.LayerNorm.weight:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.5.output.LayerNorm.weight:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.5.output.LayerNorm.bias:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.5.output.LayerNorm.bias:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.5.output.LayerNorm.bias:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.6.attention.self.query.weight:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.6.attention.self.query.weight:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.6.attention.self.query.weight:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.6.attention.self.query.bias:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.6.attention.self.query.bias:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.6.attention.self.query.bias:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.6.attention.self.key.weight:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.6.attention.self.key.weight:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.6.attention.self.key.weight:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.6.attention.self.key.bias:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.6.attention.self.key.bias:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.6.attention.self.key.bias:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.6.attention.self.value.weight:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.6.attention.self.value.weight:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.6.attention.self.value.weight:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.6.attention.self.value.bias:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.6.attention.self.value.bias:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.6.attention.self.value.bias:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.6.attention.output.dense.weight:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.6.attention.output.dense.weight:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.6.attention.output.dense.weight:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.6.attention.output.dense.bias:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.6.attention.output.dense.bias:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.6.attention.output.dense.bias:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.6.attention.output.LayerNorm.weight:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.6.attention.output.LayerNorm.weight:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.6.attention.output.LayerNorm.weight:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.6.attention.output.LayerNorm.bias:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.6.attention.output.LayerNorm.bias:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.6.attention.output.LayerNorm.bias:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.6.intermediate.dense.weight:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.6.intermediate.dense.weight:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.6.intermediate.dense.weight:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.6.intermediate.dense.bias:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.6.intermediate.dense.bias:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.6.intermediate.dense.bias:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.6.output.dense.weight:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.6.output.dense.weight:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.6.output.dense.weight:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.6.output.dense.bias:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.6.output.dense.bias:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.6.output.dense.bias:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.6.output.LayerNorm.weight:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.6.output.LayerNorm.weight:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.6.output.LayerNorm.weight:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.6.output.LayerNorm.bias:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.6.output.LayerNorm.bias:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.6.output.LayerNorm.bias:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.7.attention.self.query.weight:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.7.attention.self.query.weight:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.7.attention.self.query.weight:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.7.attention.self.query.bias:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.7.attention.self.query.bias:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.7.attention.self.query.bias:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.7.attention.self.key.weight:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.7.attention.self.key.weight:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.7.attention.self.key.weight:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.7.attention.self.key.bias:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.7.attention.self.key.bias:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.7.attention.self.key.bias:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.7.attention.self.value.weight:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.7.attention.self.value.weight:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.7.attention.self.value.weight:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.7.attention.self.value.bias:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.7.attention.self.value.bias:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.7.attention.self.value.bias:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.7.attention.output.dense.weight:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.7.attention.output.dense.weight:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.7.attention.output.dense.weight:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.7.attention.output.dense.bias:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.7.attention.output.dense.bias:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.7.attention.output.dense.bias:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.7.attention.output.LayerNorm.weight:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.7.attention.output.LayerNorm.weight:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.7.attention.output.LayerNorm.weight:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.7.attention.output.LayerNorm.bias:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.7.attention.output.LayerNorm.bias:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.7.attention.output.LayerNorm.bias:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.7.intermediate.dense.weight:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.7.intermediate.dense.weight:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.7.intermediate.dense.weight:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.7.intermediate.dense.bias:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.7.intermediate.dense.bias:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.7.intermediate.dense.bias:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.7.output.dense.weight:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.7.output.dense.weight:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.7.output.dense.weight:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.7.output.dense.bias:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.7.output.dense.bias:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.7.output.dense.bias:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.7.output.LayerNorm.weight:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.7.output.LayerNorm.weight:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.7.output.LayerNorm.weight:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.7.output.LayerNorm.bias:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.7.output.LayerNorm.bias:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.7.output.LayerNorm.bias:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.8.attention.self.query.weight:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.8.attention.self.query.weight:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.8.attention.self.query.weight:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.8.attention.self.query.bias:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.8.attention.self.query.bias:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.8.attention.self.query.bias:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.8.attention.self.key.weight:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.8.attention.self.key.weight:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.8.attention.self.key.weight:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.8.attention.self.key.bias:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.8.attention.self.key.bias:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.8.attention.self.key.bias:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.8.attention.self.value.weight:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.8.attention.self.value.weight:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.8.attention.self.value.weight:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.8.attention.self.value.bias:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.8.attention.self.value.bias:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.8.attention.self.value.bias:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.8.attention.output.dense.weight:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.8.attention.output.dense.weight:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.8.attention.output.dense.weight:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.8.attention.output.dense.bias:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.8.attention.output.dense.bias:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.8.attention.output.dense.bias:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.8.attention.output.LayerNorm.weight:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.8.attention.output.LayerNorm.weight:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.8.attention.output.LayerNorm.weight:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.8.attention.output.LayerNorm.bias:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.8.attention.output.LayerNorm.bias:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.8.attention.output.LayerNorm.bias:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.8.intermediate.dense.weight:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.8.intermediate.dense.weight:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.8.intermediate.dense.weight:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.8.intermediate.dense.bias:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.8.intermediate.dense.bias:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.8.intermediate.dense.bias:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.8.output.dense.weight:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.8.output.dense.weight:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.8.output.dense.weight:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.8.output.dense.bias:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.8.output.dense.bias:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.8.output.dense.bias:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.8.output.LayerNorm.weight:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.8.output.LayerNorm.weight:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.8.output.LayerNorm.weight:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.8.output.LayerNorm.bias:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.8.output.LayerNorm.bias:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.8.output.LayerNorm.bias:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.9.attention.self.query.weight:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.9.attention.self.query.weight:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.9.attention.self.query.weight:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.9.attention.self.query.bias:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.9.attention.self.query.bias:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.9.attention.self.query.bias:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.9.attention.self.key.weight:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.9.attention.self.key.weight:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.9.attention.self.key.weight:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.9.attention.self.key.bias:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.9.attention.self.key.bias:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.9.attention.self.key.bias:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.9.attention.self.value.weight:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.9.attention.self.value.weight:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.9.attention.self.value.weight:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.9.attention.self.value.bias:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.9.attention.self.value.bias:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.9.attention.self.value.bias:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.9.attention.output.dense.weight:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.9.attention.output.dense.weight:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.9.attention.output.dense.weight:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.9.attention.output.dense.bias:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.9.attention.output.dense.bias:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.9.attention.output.dense.bias:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.9.attention.output.LayerNorm.weight:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.9.attention.output.LayerNorm.weight:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.9.attention.output.LayerNorm.weight:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.9.attention.output.LayerNorm.bias:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.9.attention.output.LayerNorm.bias:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.9.attention.output.LayerNorm.bias:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.9.intermediate.dense.weight:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.9.intermediate.dense.weight:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.9.intermediate.dense.weight:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.9.intermediate.dense.bias:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.9.intermediate.dense.bias:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.9.intermediate.dense.bias:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.9.output.dense.weight:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.9.output.dense.weight:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.9.output.dense.weight:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.9.output.dense.bias:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.9.output.dense.bias:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.9.output.dense.bias:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.9.output.LayerNorm.weight:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.9.output.LayerNorm.weight:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.9.output.LayerNorm.weight:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.9.output.LayerNorm.bias:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.9.output.LayerNorm.bias:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.9.output.LayerNorm.bias:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.10.attention.self.query.weight:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.10.attention.self.query.weight:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.10.attention.self.query.weight:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.10.attention.self.query.bias:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.10.attention.self.query.bias:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.10.attention.self.query.bias:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.10.attention.self.key.weight:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.10.attention.self.key.weight:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.10.attention.self.key.weight:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.10.attention.self.key.bias:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.10.attention.self.key.bias:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.10.attention.self.key.bias:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.10.attention.self.value.weight:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.10.attention.self.value.weight:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.10.attention.self.value.weight:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.10.attention.self.value.bias:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.10.attention.self.value.bias:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.10.attention.self.value.bias:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.10.attention.output.dense.weight:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.10.attention.output.dense.weight:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.10.attention.output.dense.weight:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.10.attention.output.dense.bias:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.10.attention.output.dense.bias:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.10.attention.output.dense.bias:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.10.attention.output.LayerNorm.weight:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- 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paramwise_options -- language_model.language_backbone.body.model.encoder.layer.10.intermediate.dense.weight:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.10.intermediate.dense.weight:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.10.intermediate.dense.bias:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.10.intermediate.dense.bias:weight_decay=0.0001 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.10.intermediate.dense.bias:lr_mult=0.1 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- language_model.language_backbone.body.model.encoder.layer.10.output.dense.weight:lr=1e-05 +2024/11/07 03:26:24 - mmengine - INFO - paramwise_options -- 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03:26:24 - mmengine - WARNING - lmm.model.layers.8.self_attn.q_proj.ori_model.weight is skipped since its requires_grad=False +2024/11/07 03:26:24 - mmengine - WARNING - lmm.model.layers.8.self_attn.q_proj.ori_model.bias is skipped since its requires_grad=False +2024/11/07 03:26:24 - mmengine - WARNING - lmm.model.layers.8.self_attn.k_proj.ori_model.weight is skipped since its requires_grad=False +2024/11/07 03:26:24 - mmengine - WARNING - lmm.model.layers.8.self_attn.k_proj.ori_model.bias is skipped since its requires_grad=False +2024/11/07 03:26:24 - mmengine - WARNING - lmm.model.layers.8.self_attn.v_proj.ori_model.weight is skipped since its requires_grad=False +2024/11/07 03:26:24 - mmengine - WARNING - lmm.model.layers.8.self_attn.v_proj.ori_model.bias is skipped since its requires_grad=False +2024/11/07 03:26:24 - mmengine - WARNING - lmm.model.layers.8.self_attn.o_proj.ori_model.weight is skipped since its requires_grad=False +2024/11/07 03:26:24 - mmengine - WARNING - 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is skipped since its requires_grad=False +2024/11/07 03:26:24 - mmengine - WARNING - lmm.model.layers.11.self_attn.q_proj.ori_model.bias is skipped since its requires_grad=False +2024/11/07 03:26:24 - mmengine - WARNING - lmm.model.layers.11.self_attn.k_proj.ori_model.weight is skipped since its requires_grad=False +2024/11/07 03:26:24 - mmengine - WARNING - lmm.model.layers.11.self_attn.k_proj.ori_model.bias is skipped since its requires_grad=False +2024/11/07 03:26:24 - mmengine - WARNING - lmm.model.layers.11.self_attn.v_proj.ori_model.weight is skipped since its requires_grad=False +2024/11/07 03:26:24 - mmengine - WARNING - lmm.model.layers.11.self_attn.v_proj.ori_model.bias is skipped since its requires_grad=False +2024/11/07 03:26:24 - mmengine - WARNING - lmm.model.layers.11.self_attn.o_proj.ori_model.weight is skipped since its requires_grad=False +2024/11/07 03:26:24 - mmengine - WARNING - lmm.model.layers.11.mlp.gate_proj.ori_model.weight is skipped since its 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lmm.model.layers.18.input_layernorm.weight is skipped since its requires_grad=False +2024/11/07 03:26:24 - mmengine - WARNING - lmm.model.layers.18.post_attention_layernorm.weight is skipped since its requires_grad=False +2024/11/07 03:26:24 - mmengine - WARNING - lmm.model.layers.19.self_attn.q_proj.ori_model.weight is skipped since its requires_grad=False +2024/11/07 03:26:24 - mmengine - WARNING - lmm.model.layers.19.self_attn.q_proj.ori_model.bias is skipped since its requires_grad=False +2024/11/07 03:26:24 - mmengine - WARNING - lmm.model.layers.19.self_attn.k_proj.ori_model.weight is skipped since its requires_grad=False +2024/11/07 03:26:24 - mmengine - WARNING - lmm.model.layers.19.self_attn.k_proj.ori_model.bias is skipped since its requires_grad=False +2024/11/07 03:26:24 - mmengine - WARNING - lmm.model.layers.19.self_attn.v_proj.ori_model.weight is skipped since its requires_grad=False +2024/11/07 03:26:24 - mmengine - WARNING - lmm.model.layers.19.self_attn.v_proj.ori_model.bias is skipped since its requires_grad=False +2024/11/07 03:26:24 - mmengine - WARNING - lmm.model.layers.19.self_attn.o_proj.ori_model.weight is skipped since its requires_grad=False +2024/11/07 03:26:24 - mmengine - WARNING - lmm.model.layers.19.mlp.gate_proj.ori_model.weight is skipped since its requires_grad=False +2024/11/07 03:26:24 - mmengine - WARNING - lmm.model.layers.19.mlp.up_proj.ori_model.weight is skipped since its requires_grad=False +2024/11/07 03:26:24 - mmengine - WARNING - lmm.model.layers.19.mlp.down_proj.ori_model.weight is skipped since its requires_grad=False +2024/11/07 03:26:24 - mmengine - WARNING - lmm.model.layers.19.input_layernorm.weight is skipped since its requires_grad=False +2024/11/07 03:26:24 - mmengine - WARNING - lmm.model.layers.19.post_attention_layernorm.weight is skipped since its requires_grad=False +2024/11/07 03:26:24 - mmengine - WARNING - lmm.model.layers.20.self_attn.q_proj.ori_model.weight is skipped since its requires_grad=False +2024/11/07 03:26:24 - mmengine - WARNING - lmm.model.layers.20.self_attn.q_proj.ori_model.bias is skipped since its requires_grad=False +2024/11/07 03:26:24 - mmengine - WARNING - lmm.model.layers.20.self_attn.k_proj.ori_model.weight is skipped since its requires_grad=False +2024/11/07 03:26:24 - mmengine - WARNING - lmm.model.layers.20.self_attn.k_proj.ori_model.bias is skipped since its requires_grad=False +2024/11/07 03:26:24 - mmengine - WARNING - lmm.model.layers.20.self_attn.v_proj.ori_model.weight is skipped since its requires_grad=False +2024/11/07 03:26:24 - mmengine - WARNING - lmm.model.layers.20.self_attn.v_proj.ori_model.bias is skipped since its requires_grad=False +2024/11/07 03:26:24 - mmengine - WARNING - lmm.model.layers.20.self_attn.o_proj.ori_model.weight is skipped since its requires_grad=False +2024/11/07 03:26:24 - mmengine - WARNING - lmm.model.layers.20.mlp.gate_proj.ori_model.weight is skipped since its requires_grad=False +2024/11/07 03:26:24 - mmengine - WARNING - lmm.model.layers.20.mlp.up_proj.ori_model.weight is skipped since its requires_grad=False +2024/11/07 03:26:24 - mmengine - WARNING - lmm.model.layers.20.mlp.down_proj.ori_model.weight is skipped since its requires_grad=False +2024/11/07 03:26:24 - mmengine - WARNING - lmm.model.layers.20.input_layernorm.weight is skipped since its requires_grad=False +2024/11/07 03:26:24 - mmengine - WARNING - lmm.model.layers.20.post_attention_layernorm.weight is skipped since its requires_grad=False +2024/11/07 03:26:24 - mmengine - WARNING - lmm.model.layers.21.self_attn.q_proj.ori_model.weight is skipped since its requires_grad=False +2024/11/07 03:26:24 - mmengine - WARNING - lmm.model.layers.21.self_attn.q_proj.ori_model.bias is skipped since its requires_grad=False +2024/11/07 03:26:24 - mmengine - WARNING - lmm.model.layers.21.self_attn.k_proj.ori_model.weight is skipped since its requires_grad=False +2024/11/07 03:26:24 - mmengine - WARNING - lmm.model.layers.21.self_attn.k_proj.ori_model.bias is skipped since its requires_grad=False +2024/11/07 03:26:24 - mmengine - WARNING - lmm.model.layers.21.self_attn.v_proj.ori_model.weight is skipped since its requires_grad=False +2024/11/07 03:26:24 - mmengine - WARNING - lmm.model.layers.21.self_attn.v_proj.ori_model.bias is skipped since its requires_grad=False +2024/11/07 03:26:24 - mmengine - WARNING - lmm.model.layers.21.self_attn.o_proj.ori_model.weight is skipped since its requires_grad=False +2024/11/07 03:26:24 - mmengine - WARNING - lmm.model.layers.21.mlp.gate_proj.ori_model.weight is skipped since its requires_grad=False +2024/11/07 03:26:24 - mmengine - WARNING - lmm.model.layers.21.mlp.up_proj.ori_model.weight is skipped since its requires_grad=False +2024/11/07 03:26:24 - mmengine - WARNING - lmm.model.layers.21.mlp.down_proj.ori_model.weight is skipped since its requires_grad=False +2024/11/07 03:26:24 - mmengine - WARNING - lmm.model.layers.21.input_layernorm.weight is skipped since its requires_grad=False +2024/11/07 03:26:24 - mmengine - WARNING - lmm.model.layers.21.post_attention_layernorm.weight is skipped since its requires_grad=False +2024/11/07 03:26:24 - mmengine - WARNING - lmm.model.layers.22.self_attn.q_proj.ori_model.weight is skipped since its requires_grad=False +2024/11/07 03:26:24 - mmengine - WARNING - lmm.model.layers.22.self_attn.q_proj.ori_model.bias is skipped since its requires_grad=False +2024/11/07 03:26:24 - mmengine - WARNING - lmm.model.layers.22.self_attn.k_proj.ori_model.weight is skipped since its requires_grad=False +2024/11/07 03:26:24 - mmengine - WARNING - lmm.model.layers.22.self_attn.k_proj.ori_model.bias is skipped since its requires_grad=False +2024/11/07 03:26:24 - mmengine - WARNING - lmm.model.layers.22.self_attn.v_proj.ori_model.weight is skipped since its requires_grad=False +2024/11/07 03:26:24 - mmengine - WARNING - lmm.model.layers.22.self_attn.v_proj.ori_model.bias is skipped since its requires_grad=False +2024/11/07 03:26:24 - mmengine - WARNING - lmm.model.layers.22.self_attn.o_proj.ori_model.weight is skipped since its requires_grad=False +2024/11/07 03:26:24 - mmengine - WARNING - lmm.model.layers.22.mlp.gate_proj.ori_model.weight is skipped since its requires_grad=False +2024/11/07 03:26:24 - mmengine - WARNING - lmm.model.layers.22.mlp.up_proj.ori_model.weight is skipped since its requires_grad=False +2024/11/07 03:26:24 - mmengine - WARNING - lmm.model.layers.22.mlp.down_proj.ori_model.weight is skipped since its requires_grad=False +2024/11/07 03:26:24 - mmengine - WARNING - lmm.model.layers.22.input_layernorm.weight is skipped since its requires_grad=False +2024/11/07 03:26:24 - mmengine - WARNING - lmm.model.layers.22.post_attention_layernorm.weight is skipped since its requires_grad=False +2024/11/07 03:26:24 - mmengine - WARNING - lmm.model.layers.23.self_attn.q_proj.ori_model.weight is skipped since its requires_grad=False +2024/11/07 03:26:24 - mmengine - WARNING - lmm.model.layers.23.self_attn.q_proj.ori_model.bias is skipped since its requires_grad=False +2024/11/07 03:26:24 - mmengine - WARNING - lmm.model.layers.23.self_attn.k_proj.ori_model.weight is skipped since its requires_grad=False +2024/11/07 03:26:24 - mmengine - WARNING - lmm.model.layers.23.self_attn.k_proj.ori_model.bias is skipped since its requires_grad=False +2024/11/07 03:26:24 - mmengine - WARNING - lmm.model.layers.23.self_attn.v_proj.ori_model.weight is skipped since its requires_grad=False +2024/11/07 03:26:24 - mmengine - WARNING - lmm.model.layers.23.self_attn.v_proj.ori_model.bias is skipped since its requires_grad=False +2024/11/07 03:26:24 - mmengine - WARNING - lmm.model.layers.23.self_attn.o_proj.ori_model.weight is skipped since its requires_grad=False +2024/11/07 03:26:24 - mmengine - WARNING - lmm.model.layers.23.mlp.gate_proj.ori_model.weight is skipped since its requires_grad=False +2024/11/07 03:26:24 - mmengine - WARNING - lmm.model.layers.23.mlp.up_proj.ori_model.weight is skipped since its requires_grad=False +2024/11/07 03:26:24 - mmengine - WARNING - lmm.model.layers.23.mlp.down_proj.ori_model.weight is skipped since its requires_grad=False +2024/11/07 03:26:24 - mmengine - WARNING - lmm.model.layers.23.input_layernorm.weight is skipped since its requires_grad=False +2024/11/07 03:26:24 - mmengine - WARNING - lmm.model.layers.23.post_attention_layernorm.weight is skipped since its requires_grad=False +2024/11/07 03:26:24 - mmengine - WARNING - lmm.model.norm.weight is skipped since its requires_grad=False +2024/11/07 03:26:24 - mmengine - WARNING - lmm.lm_head.weight is skipped since its requires_grad=False +2024/11/07 03:26:24 - mmengine - INFO - LR is set based on batch size of 16 and the current batch size is 16. Scaling the original LR by 1.0. +Name of parameter - Initialization information + +level_embed - torch.Size([4, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.patch_embed.projection.weight - torch.Size([96, 3, 4, 4]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.patch_embed.projection.bias - torch.Size([96]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.patch_embed.norm.weight - torch.Size([96]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.patch_embed.norm.bias - torch.Size([96]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.0.blocks.0.norm1.weight - torch.Size([96]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.0.blocks.0.norm1.bias - torch.Size([96]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.0.blocks.0.attn.w_msa.relative_position_bias_table - torch.Size([169, 3]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.0.blocks.0.attn.w_msa.qkv.weight - torch.Size([288, 96]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.0.blocks.0.attn.w_msa.qkv.bias - torch.Size([288]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.0.blocks.0.attn.w_msa.proj.weight - torch.Size([96, 96]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.0.blocks.0.attn.w_msa.proj.bias - torch.Size([96]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.0.blocks.0.norm2.weight - torch.Size([96]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.0.blocks.0.norm2.bias - torch.Size([96]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.0.blocks.0.ffn.layers.0.0.weight - torch.Size([384, 96]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.0.blocks.0.ffn.layers.0.0.bias - torch.Size([384]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.0.blocks.0.ffn.layers.1.weight - torch.Size([96, 384]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.0.blocks.0.ffn.layers.1.bias - torch.Size([96]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.0.blocks.1.norm1.weight - torch.Size([96]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.0.blocks.1.norm1.bias - torch.Size([96]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.0.blocks.1.attn.w_msa.relative_position_bias_table - torch.Size([169, 3]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.0.blocks.1.attn.w_msa.qkv.weight - torch.Size([288, 96]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.0.blocks.1.attn.w_msa.qkv.bias - torch.Size([288]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.0.blocks.1.attn.w_msa.proj.weight - torch.Size([96, 96]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.0.blocks.1.attn.w_msa.proj.bias - torch.Size([96]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.0.blocks.1.norm2.weight - torch.Size([96]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.0.blocks.1.norm2.bias - torch.Size([96]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.0.blocks.1.ffn.layers.0.0.weight - torch.Size([384, 96]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.0.blocks.1.ffn.layers.0.0.bias - torch.Size([384]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.0.blocks.1.ffn.layers.1.weight - torch.Size([96, 384]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.0.blocks.1.ffn.layers.1.bias - torch.Size([96]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.0.downsample.norm.weight - torch.Size([384]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.0.downsample.norm.bias - torch.Size([384]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.0.downsample.reduction.weight - torch.Size([192, 384]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.1.blocks.0.norm1.weight - torch.Size([192]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.1.blocks.0.norm1.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.1.blocks.0.attn.w_msa.relative_position_bias_table - torch.Size([169, 6]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.1.blocks.0.attn.w_msa.qkv.weight - torch.Size([576, 192]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.1.blocks.0.attn.w_msa.qkv.bias - torch.Size([576]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.1.blocks.0.attn.w_msa.proj.weight - torch.Size([192, 192]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.1.blocks.0.attn.w_msa.proj.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.1.blocks.0.norm2.weight - torch.Size([192]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.1.blocks.0.norm2.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.1.blocks.0.ffn.layers.0.0.weight - torch.Size([768, 192]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.1.blocks.0.ffn.layers.0.0.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.1.blocks.0.ffn.layers.1.weight - torch.Size([192, 768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.1.blocks.0.ffn.layers.1.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.1.blocks.1.norm1.weight - torch.Size([192]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.1.blocks.1.norm1.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.1.blocks.1.attn.w_msa.relative_position_bias_table - torch.Size([169, 6]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.1.blocks.1.attn.w_msa.qkv.weight - torch.Size([576, 192]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.1.blocks.1.attn.w_msa.qkv.bias - torch.Size([576]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.1.blocks.1.attn.w_msa.proj.weight - torch.Size([192, 192]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.1.blocks.1.attn.w_msa.proj.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.1.blocks.1.norm2.weight - torch.Size([192]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.1.blocks.1.norm2.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.1.blocks.1.ffn.layers.0.0.weight - torch.Size([768, 192]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.1.blocks.1.ffn.layers.0.0.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.1.blocks.1.ffn.layers.1.weight - torch.Size([192, 768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.1.blocks.1.ffn.layers.1.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.1.downsample.norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.1.downsample.norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.1.downsample.reduction.weight - torch.Size([384, 768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.2.blocks.0.norm1.weight - torch.Size([384]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.2.blocks.0.norm1.bias - torch.Size([384]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.2.blocks.0.attn.w_msa.relative_position_bias_table - torch.Size([169, 12]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.2.blocks.0.attn.w_msa.qkv.weight - torch.Size([1152, 384]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.2.blocks.0.attn.w_msa.qkv.bias - torch.Size([1152]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.2.blocks.0.attn.w_msa.proj.weight - torch.Size([384, 384]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.2.blocks.0.attn.w_msa.proj.bias - torch.Size([384]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.2.blocks.0.norm2.weight - torch.Size([384]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.2.blocks.0.norm2.bias - torch.Size([384]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.2.blocks.0.ffn.layers.0.0.weight - torch.Size([1536, 384]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.2.blocks.0.ffn.layers.0.0.bias - torch.Size([1536]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.2.blocks.0.ffn.layers.1.weight - torch.Size([384, 1536]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.2.blocks.0.ffn.layers.1.bias - torch.Size([384]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.2.blocks.1.norm1.weight - torch.Size([384]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.2.blocks.1.norm1.bias - torch.Size([384]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.2.blocks.1.attn.w_msa.relative_position_bias_table - torch.Size([169, 12]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.2.blocks.1.attn.w_msa.qkv.weight - torch.Size([1152, 384]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.2.blocks.1.attn.w_msa.qkv.bias - torch.Size([1152]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.2.blocks.1.attn.w_msa.proj.weight - torch.Size([384, 384]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.2.blocks.1.attn.w_msa.proj.bias - torch.Size([384]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.2.blocks.1.norm2.weight - torch.Size([384]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.2.blocks.1.norm2.bias - torch.Size([384]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.2.blocks.1.ffn.layers.0.0.weight - torch.Size([1536, 384]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.2.blocks.1.ffn.layers.0.0.bias - torch.Size([1536]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.2.blocks.1.ffn.layers.1.weight - torch.Size([384, 1536]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.2.blocks.1.ffn.layers.1.bias - torch.Size([384]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.2.blocks.2.norm1.weight - torch.Size([384]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.2.blocks.2.norm1.bias - torch.Size([384]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.2.blocks.2.attn.w_msa.relative_position_bias_table - torch.Size([169, 12]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.2.blocks.2.attn.w_msa.qkv.weight - torch.Size([1152, 384]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.2.blocks.2.attn.w_msa.qkv.bias - torch.Size([1152]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.2.blocks.2.attn.w_msa.proj.weight - torch.Size([384, 384]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.2.blocks.2.attn.w_msa.proj.bias - torch.Size([384]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.2.blocks.2.norm2.weight - torch.Size([384]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.2.blocks.2.norm2.bias - torch.Size([384]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.2.blocks.2.ffn.layers.0.0.weight - torch.Size([1536, 384]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.2.blocks.2.ffn.layers.0.0.bias - torch.Size([1536]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.2.blocks.2.ffn.layers.1.weight - torch.Size([384, 1536]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.2.blocks.2.ffn.layers.1.bias - torch.Size([384]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.2.blocks.3.norm1.weight - torch.Size([384]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.2.blocks.3.norm1.bias - torch.Size([384]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.2.blocks.3.attn.w_msa.relative_position_bias_table - torch.Size([169, 12]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.2.blocks.3.attn.w_msa.qkv.weight - torch.Size([1152, 384]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.2.blocks.3.attn.w_msa.qkv.bias - torch.Size([1152]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.2.blocks.3.attn.w_msa.proj.weight - torch.Size([384, 384]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.2.blocks.3.attn.w_msa.proj.bias - torch.Size([384]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.2.blocks.3.norm2.weight - torch.Size([384]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.2.blocks.3.norm2.bias - torch.Size([384]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.2.blocks.3.ffn.layers.0.0.weight - torch.Size([1536, 384]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.2.blocks.3.ffn.layers.0.0.bias - torch.Size([1536]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.2.blocks.3.ffn.layers.1.weight - torch.Size([384, 1536]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.2.blocks.3.ffn.layers.1.bias - torch.Size([384]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.2.blocks.4.norm1.weight - torch.Size([384]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.2.blocks.4.norm1.bias - torch.Size([384]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.2.blocks.4.attn.w_msa.relative_position_bias_table - torch.Size([169, 12]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.2.blocks.4.attn.w_msa.qkv.weight - torch.Size([1152, 384]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.2.blocks.4.attn.w_msa.qkv.bias - torch.Size([1152]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.2.blocks.4.attn.w_msa.proj.weight - torch.Size([384, 384]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.2.blocks.4.attn.w_msa.proj.bias - torch.Size([384]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.2.blocks.4.norm2.weight - torch.Size([384]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.2.blocks.4.norm2.bias - torch.Size([384]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.2.blocks.4.ffn.layers.0.0.weight - torch.Size([1536, 384]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.2.blocks.4.ffn.layers.0.0.bias - torch.Size([1536]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.2.blocks.4.ffn.layers.1.weight - torch.Size([384, 1536]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.2.blocks.4.ffn.layers.1.bias - torch.Size([384]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.2.blocks.5.norm1.weight - torch.Size([384]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.2.blocks.5.norm1.bias - torch.Size([384]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.2.blocks.5.attn.w_msa.relative_position_bias_table - torch.Size([169, 12]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.2.blocks.5.attn.w_msa.qkv.weight - torch.Size([1152, 384]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.2.blocks.5.attn.w_msa.qkv.bias - torch.Size([1152]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.2.blocks.5.attn.w_msa.proj.weight - torch.Size([384, 384]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.2.blocks.5.attn.w_msa.proj.bias - torch.Size([384]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.2.blocks.5.norm2.weight - torch.Size([384]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.2.blocks.5.norm2.bias - torch.Size([384]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.2.blocks.5.ffn.layers.0.0.weight - torch.Size([1536, 384]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.2.blocks.5.ffn.layers.0.0.bias - torch.Size([1536]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.2.blocks.5.ffn.layers.1.weight - torch.Size([384, 1536]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.2.blocks.5.ffn.layers.1.bias - torch.Size([384]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.2.downsample.norm.weight - torch.Size([1536]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.2.downsample.norm.bias - torch.Size([1536]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.2.downsample.reduction.weight - torch.Size([768, 1536]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.3.blocks.0.norm1.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.3.blocks.0.norm1.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.3.blocks.0.attn.w_msa.relative_position_bias_table - torch.Size([169, 24]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.3.blocks.0.attn.w_msa.qkv.weight - torch.Size([2304, 768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.3.blocks.0.attn.w_msa.qkv.bias - torch.Size([2304]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.3.blocks.0.attn.w_msa.proj.weight - torch.Size([768, 768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.3.blocks.0.attn.w_msa.proj.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.3.blocks.0.norm2.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.3.blocks.0.norm2.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.3.blocks.0.ffn.layers.0.0.weight - torch.Size([3072, 768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.3.blocks.0.ffn.layers.0.0.bias - torch.Size([3072]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.3.blocks.0.ffn.layers.1.weight - torch.Size([768, 3072]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.3.blocks.0.ffn.layers.1.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.3.blocks.1.norm1.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.3.blocks.1.norm1.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.3.blocks.1.attn.w_msa.relative_position_bias_table - torch.Size([169, 24]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.3.blocks.1.attn.w_msa.qkv.weight - torch.Size([2304, 768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.3.blocks.1.attn.w_msa.qkv.bias - torch.Size([2304]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.3.blocks.1.attn.w_msa.proj.weight - torch.Size([768, 768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.3.blocks.1.attn.w_msa.proj.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.3.blocks.1.norm2.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.3.blocks.1.norm2.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.3.blocks.1.ffn.layers.0.0.weight - torch.Size([3072, 768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.3.blocks.1.ffn.layers.0.0.bias - torch.Size([3072]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.3.blocks.1.ffn.layers.1.weight - torch.Size([768, 3072]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.stages.3.blocks.1.ffn.layers.1.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.norm1.weight - torch.Size([192]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.norm1.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.norm2.weight - torch.Size([384]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.norm2.bias - torch.Size([384]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.norm3.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +backbone.norm3.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +neck.convs.0.conv.weight - torch.Size([256, 192, 1, 1]): +XavierInit: gain=1, distribution=uniform, bias=0 + +neck.convs.0.conv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +neck.convs.0.gn.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +neck.convs.0.gn.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +neck.convs.1.conv.weight - torch.Size([256, 384, 1, 1]): +XavierInit: gain=1, distribution=uniform, bias=0 + +neck.convs.1.conv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +neck.convs.1.gn.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +neck.convs.1.gn.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +neck.convs.2.conv.weight - torch.Size([256, 768, 1, 1]): +XavierInit: gain=1, distribution=uniform, bias=0 + +neck.convs.2.conv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +neck.convs.2.gn.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +neck.convs.2.gn.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +neck.extra_convs.0.conv.weight - torch.Size([256, 768, 3, 3]): +XavierInit: gain=1, distribution=uniform, bias=0 + +neck.extra_convs.0.conv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +neck.extra_convs.0.gn.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +neck.extra_convs.0.gn.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +bbox_head.cls_branches.0.bias - torch.Size([1]): +The value is the same before and after calling `init_weights` of GroundingDINO + +bbox_head.cls_branches.1.bias - torch.Size([1]): +The value is the same before and after calling `init_weights` of GroundingDINO + +bbox_head.cls_branches.2.bias - torch.Size([1]): +The value is the same before and after calling `init_weights` of GroundingDINO + +bbox_head.cls_branches.3.bias - torch.Size([1]): +The value is the same before and after calling `init_weights` of GroundingDINO + +bbox_head.cls_branches.4.bias - torch.Size([1]): +The value is the same before and after calling `init_weights` of GroundingDINO + +bbox_head.cls_branches.5.bias - torch.Size([1]): +The value is the same before and after calling `init_weights` of GroundingDINO + +bbox_head.cls_branches.6.bias - torch.Size([1]): +The value is the same before and after calling `init_weights` of GroundingDINO + +bbox_head.reg_branches.0.0.weight - torch.Size([256, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +bbox_head.reg_branches.0.0.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +bbox_head.reg_branches.0.2.weight - torch.Size([256, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +bbox_head.reg_branches.0.2.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +bbox_head.reg_branches.0.4.weight - torch.Size([4, 256]): +Initialized by user-defined `init_weights` in GroundingDINOHead + +bbox_head.reg_branches.0.4.bias - torch.Size([4]): +Initialized by user-defined `init_weights` in GroundingDINOHead + +bbox_head.reg_branches.1.0.weight - torch.Size([256, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +bbox_head.reg_branches.1.0.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +bbox_head.reg_branches.1.2.weight - torch.Size([256, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +bbox_head.reg_branches.1.2.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +bbox_head.reg_branches.1.4.weight - torch.Size([4, 256]): +Initialized by user-defined `init_weights` in GroundingDINOHead + +bbox_head.reg_branches.1.4.bias - torch.Size([4]): +Initialized by user-defined `init_weights` in GroundingDINOHead + +bbox_head.reg_branches.2.0.weight - torch.Size([256, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +bbox_head.reg_branches.2.0.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +bbox_head.reg_branches.2.2.weight - torch.Size([256, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +bbox_head.reg_branches.2.2.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +bbox_head.reg_branches.2.4.weight - torch.Size([4, 256]): +Initialized by user-defined `init_weights` in GroundingDINOHead + +bbox_head.reg_branches.2.4.bias - torch.Size([4]): +Initialized by user-defined `init_weights` in GroundingDINOHead + +bbox_head.reg_branches.3.0.weight - torch.Size([256, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +bbox_head.reg_branches.3.0.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +bbox_head.reg_branches.3.2.weight - torch.Size([256, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +bbox_head.reg_branches.3.2.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +bbox_head.reg_branches.3.4.weight - torch.Size([4, 256]): +Initialized by user-defined `init_weights` in GroundingDINOHead + +bbox_head.reg_branches.3.4.bias - torch.Size([4]): +Initialized by user-defined `init_weights` in GroundingDINOHead + +bbox_head.reg_branches.4.0.weight - torch.Size([256, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +bbox_head.reg_branches.4.0.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +bbox_head.reg_branches.4.2.weight - torch.Size([256, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +bbox_head.reg_branches.4.2.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +bbox_head.reg_branches.4.4.weight - torch.Size([4, 256]): +Initialized by user-defined `init_weights` in GroundingDINOHead + +bbox_head.reg_branches.4.4.bias - torch.Size([4]): +Initialized by user-defined `init_weights` in GroundingDINOHead + +bbox_head.reg_branches.5.0.weight - torch.Size([256, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +bbox_head.reg_branches.5.0.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +bbox_head.reg_branches.5.2.weight - torch.Size([256, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +bbox_head.reg_branches.5.2.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +bbox_head.reg_branches.5.4.weight - torch.Size([4, 256]): +Initialized by user-defined `init_weights` in GroundingDINOHead + +bbox_head.reg_branches.5.4.bias - torch.Size([4]): +Initialized by user-defined `init_weights` in GroundingDINOHead + +bbox_head.reg_branches.6.0.weight - torch.Size([256, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +bbox_head.reg_branches.6.0.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +bbox_head.reg_branches.6.2.weight - torch.Size([256, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +bbox_head.reg_branches.6.2.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +bbox_head.reg_branches.6.4.weight - torch.Size([4, 256]): +Initialized by user-defined `init_weights` in GroundingDINOHead + +bbox_head.reg_branches.6.4.bias - torch.Size([4]): +Initialized by user-defined `init_weights` in GroundingDINOHead + +encoder.layers.0.self_attn.sampling_offsets.weight - torch.Size([256, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.layers.0.self_attn.sampling_offsets.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.layers.0.self_attn.attention_weights.weight - torch.Size([128, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.layers.0.self_attn.attention_weights.bias - torch.Size([128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.layers.0.self_attn.value_proj.weight - torch.Size([256, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.layers.0.self_attn.value_proj.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.layers.0.self_attn.output_proj.weight - torch.Size([256, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.layers.0.self_attn.output_proj.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.layers.0.ffn.layers.0.0.weight - torch.Size([2048, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.layers.0.ffn.layers.0.0.bias - torch.Size([2048]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.layers.0.ffn.layers.1.weight - torch.Size([256, 2048]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.layers.0.ffn.layers.1.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.layers.0.norms.0.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.layers.0.norms.0.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.layers.0.norms.1.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.layers.0.norms.1.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.layers.1.self_attn.sampling_offsets.weight - torch.Size([256, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.layers.1.self_attn.sampling_offsets.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.layers.1.self_attn.attention_weights.weight - torch.Size([128, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.layers.1.self_attn.attention_weights.bias - torch.Size([128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.layers.1.self_attn.value_proj.weight - torch.Size([256, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.layers.1.self_attn.value_proj.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.layers.1.self_attn.output_proj.weight - torch.Size([256, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.layers.1.self_attn.output_proj.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.layers.1.ffn.layers.0.0.weight - torch.Size([2048, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.layers.1.ffn.layers.0.0.bias - torch.Size([2048]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.layers.1.ffn.layers.1.weight - torch.Size([256, 2048]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.layers.1.ffn.layers.1.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.layers.1.norms.0.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.layers.1.norms.0.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.layers.1.norms.1.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.layers.1.norms.1.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.layers.2.self_attn.sampling_offsets.weight - torch.Size([256, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.layers.2.self_attn.sampling_offsets.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.layers.2.self_attn.attention_weights.weight - torch.Size([128, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.layers.2.self_attn.attention_weights.bias - torch.Size([128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.layers.2.self_attn.value_proj.weight - torch.Size([256, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.layers.2.self_attn.value_proj.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.layers.2.self_attn.output_proj.weight - torch.Size([256, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.layers.2.self_attn.output_proj.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.layers.2.ffn.layers.0.0.weight - torch.Size([2048, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.layers.2.ffn.layers.0.0.bias - torch.Size([2048]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.layers.2.ffn.layers.1.weight - torch.Size([256, 2048]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.layers.2.ffn.layers.1.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.layers.2.norms.0.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.layers.2.norms.0.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.layers.2.norms.1.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.layers.2.norms.1.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.layers.3.self_attn.sampling_offsets.weight - torch.Size([256, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.layers.3.self_attn.sampling_offsets.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.layers.3.self_attn.attention_weights.weight - torch.Size([128, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.layers.3.self_attn.attention_weights.bias - torch.Size([128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.layers.3.self_attn.value_proj.weight - torch.Size([256, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.layers.3.self_attn.value_proj.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.layers.3.self_attn.output_proj.weight - torch.Size([256, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.layers.3.self_attn.output_proj.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.layers.3.ffn.layers.0.0.weight - torch.Size([2048, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.layers.3.ffn.layers.0.0.bias - torch.Size([2048]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.layers.3.ffn.layers.1.weight - torch.Size([256, 2048]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.layers.3.ffn.layers.1.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.layers.3.norms.0.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.layers.3.norms.0.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.layers.3.norms.1.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.layers.3.norms.1.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.layers.4.self_attn.sampling_offsets.weight - torch.Size([256, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.layers.4.self_attn.sampling_offsets.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.layers.4.self_attn.attention_weights.weight - torch.Size([128, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.layers.4.self_attn.attention_weights.bias - torch.Size([128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.layers.4.self_attn.value_proj.weight - torch.Size([256, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.layers.4.self_attn.value_proj.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.layers.4.self_attn.output_proj.weight - torch.Size([256, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.layers.4.self_attn.output_proj.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.layers.4.ffn.layers.0.0.weight - torch.Size([2048, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.layers.4.ffn.layers.0.0.bias - torch.Size([2048]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.layers.4.ffn.layers.1.weight - torch.Size([256, 2048]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.layers.4.ffn.layers.1.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.layers.4.norms.0.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.layers.4.norms.0.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.layers.4.norms.1.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.layers.4.norms.1.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.layers.5.self_attn.sampling_offsets.weight - torch.Size([256, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.layers.5.self_attn.sampling_offsets.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.layers.5.self_attn.attention_weights.weight - torch.Size([128, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.layers.5.self_attn.attention_weights.bias - torch.Size([128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.layers.5.self_attn.value_proj.weight - torch.Size([256, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.layers.5.self_attn.value_proj.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.layers.5.self_attn.output_proj.weight - torch.Size([256, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.layers.5.self_attn.output_proj.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.layers.5.ffn.layers.0.0.weight - torch.Size([2048, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.layers.5.ffn.layers.0.0.bias - torch.Size([2048]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.layers.5.ffn.layers.1.weight - torch.Size([256, 2048]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.layers.5.ffn.layers.1.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.layers.5.norms.0.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.layers.5.norms.0.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.layers.5.norms.1.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.layers.5.norms.1.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.text_layers.0.self_attn.attn.in_proj_weight - torch.Size([768, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.text_layers.0.self_attn.attn.in_proj_bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.text_layers.0.self_attn.attn.out_proj.weight - torch.Size([256, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.text_layers.0.self_attn.attn.out_proj.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.text_layers.0.ffn.layers.0.0.weight - torch.Size([1024, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.text_layers.0.ffn.layers.0.0.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.text_layers.0.ffn.layers.1.weight - torch.Size([256, 1024]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.text_layers.0.ffn.layers.1.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.text_layers.0.norms.0.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.text_layers.0.norms.0.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.text_layers.0.norms.1.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.text_layers.0.norms.1.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.text_layers.1.self_attn.attn.in_proj_weight - torch.Size([768, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.text_layers.1.self_attn.attn.in_proj_bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.text_layers.1.self_attn.attn.out_proj.weight - torch.Size([256, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.text_layers.1.self_attn.attn.out_proj.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.text_layers.1.ffn.layers.0.0.weight - torch.Size([1024, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.text_layers.1.ffn.layers.0.0.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.text_layers.1.ffn.layers.1.weight - torch.Size([256, 1024]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.text_layers.1.ffn.layers.1.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.text_layers.1.norms.0.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.text_layers.1.norms.0.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.text_layers.1.norms.1.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.text_layers.1.norms.1.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.text_layers.2.self_attn.attn.in_proj_weight - torch.Size([768, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.text_layers.2.self_attn.attn.in_proj_bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.text_layers.2.self_attn.attn.out_proj.weight - torch.Size([256, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.text_layers.2.self_attn.attn.out_proj.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.text_layers.2.ffn.layers.0.0.weight - torch.Size([1024, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.text_layers.2.ffn.layers.0.0.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.text_layers.2.ffn.layers.1.weight - torch.Size([256, 1024]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.text_layers.2.ffn.layers.1.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.text_layers.2.norms.0.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.text_layers.2.norms.0.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.text_layers.2.norms.1.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.text_layers.2.norms.1.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.text_layers.3.self_attn.attn.in_proj_weight - torch.Size([768, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.text_layers.3.self_attn.attn.in_proj_bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.text_layers.3.self_attn.attn.out_proj.weight - torch.Size([256, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.text_layers.3.self_attn.attn.out_proj.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.text_layers.3.ffn.layers.0.0.weight - torch.Size([1024, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.text_layers.3.ffn.layers.0.0.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.text_layers.3.ffn.layers.1.weight - torch.Size([256, 1024]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.text_layers.3.ffn.layers.1.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.text_layers.3.norms.0.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.text_layers.3.norms.0.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.text_layers.3.norms.1.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.text_layers.3.norms.1.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.text_layers.4.self_attn.attn.in_proj_weight - torch.Size([768, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.text_layers.4.self_attn.attn.in_proj_bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.text_layers.4.self_attn.attn.out_proj.weight - torch.Size([256, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.text_layers.4.self_attn.attn.out_proj.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.text_layers.4.ffn.layers.0.0.weight - torch.Size([1024, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.text_layers.4.ffn.layers.0.0.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.text_layers.4.ffn.layers.1.weight - torch.Size([256, 1024]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.text_layers.4.ffn.layers.1.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.text_layers.4.norms.0.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.text_layers.4.norms.0.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.text_layers.4.norms.1.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.text_layers.4.norms.1.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.text_layers.5.self_attn.attn.in_proj_weight - torch.Size([768, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.text_layers.5.self_attn.attn.in_proj_bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.text_layers.5.self_attn.attn.out_proj.weight - torch.Size([256, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.text_layers.5.self_attn.attn.out_proj.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.text_layers.5.ffn.layers.0.0.weight - torch.Size([1024, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.text_layers.5.ffn.layers.0.0.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.text_layers.5.ffn.layers.1.weight - torch.Size([256, 1024]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.text_layers.5.ffn.layers.1.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.text_layers.5.norms.0.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.text_layers.5.norms.0.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.text_layers.5.norms.1.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.text_layers.5.norms.1.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.fusion_layers.0.gamma_v - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.fusion_layers.0.gamma_l - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.fusion_layers.0.layer_norm_v.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.fusion_layers.0.layer_norm_v.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.fusion_layers.0.layer_norm_l.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.fusion_layers.0.layer_norm_l.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.fusion_layers.0.attn.v_proj.weight - torch.Size([1024, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.fusion_layers.0.attn.v_proj.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.fusion_layers.0.attn.l_proj.weight - torch.Size([1024, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.fusion_layers.0.attn.l_proj.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.fusion_layers.0.attn.values_v_proj.weight - torch.Size([1024, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.fusion_layers.0.attn.values_v_proj.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.fusion_layers.0.attn.values_l_proj.weight - torch.Size([1024, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.fusion_layers.0.attn.values_l_proj.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.fusion_layers.0.attn.out_v_proj.weight - torch.Size([256, 1024]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.fusion_layers.0.attn.out_v_proj.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.fusion_layers.0.attn.out_l_proj.weight - torch.Size([256, 1024]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.fusion_layers.0.attn.out_l_proj.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.fusion_layers.1.gamma_v - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.fusion_layers.1.gamma_l - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.fusion_layers.1.layer_norm_v.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.fusion_layers.1.layer_norm_v.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.fusion_layers.1.layer_norm_l.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.fusion_layers.1.layer_norm_l.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.fusion_layers.1.attn.v_proj.weight - torch.Size([1024, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.fusion_layers.1.attn.v_proj.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.fusion_layers.1.attn.l_proj.weight - torch.Size([1024, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.fusion_layers.1.attn.l_proj.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.fusion_layers.1.attn.values_v_proj.weight - torch.Size([1024, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.fusion_layers.1.attn.values_v_proj.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.fusion_layers.1.attn.values_l_proj.weight - torch.Size([1024, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.fusion_layers.1.attn.values_l_proj.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.fusion_layers.1.attn.out_v_proj.weight - torch.Size([256, 1024]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.fusion_layers.1.attn.out_v_proj.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.fusion_layers.1.attn.out_l_proj.weight - torch.Size([256, 1024]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.fusion_layers.1.attn.out_l_proj.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.fusion_layers.2.gamma_v - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.fusion_layers.2.gamma_l - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.fusion_layers.2.layer_norm_v.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.fusion_layers.2.layer_norm_v.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.fusion_layers.2.layer_norm_l.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.fusion_layers.2.layer_norm_l.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.fusion_layers.2.attn.v_proj.weight - torch.Size([1024, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.fusion_layers.2.attn.v_proj.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.fusion_layers.2.attn.l_proj.weight - torch.Size([1024, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.fusion_layers.2.attn.l_proj.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.fusion_layers.2.attn.values_v_proj.weight - torch.Size([1024, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.fusion_layers.2.attn.values_v_proj.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.fusion_layers.2.attn.values_l_proj.weight - torch.Size([1024, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.fusion_layers.2.attn.values_l_proj.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.fusion_layers.2.attn.out_v_proj.weight - torch.Size([256, 1024]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.fusion_layers.2.attn.out_v_proj.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.fusion_layers.2.attn.out_l_proj.weight - torch.Size([256, 1024]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.fusion_layers.2.attn.out_l_proj.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.fusion_layers.3.gamma_v - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.fusion_layers.3.gamma_l - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.fusion_layers.3.layer_norm_v.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.fusion_layers.3.layer_norm_v.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.fusion_layers.3.layer_norm_l.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.fusion_layers.3.layer_norm_l.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.fusion_layers.3.attn.v_proj.weight - torch.Size([1024, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.fusion_layers.3.attn.v_proj.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.fusion_layers.3.attn.l_proj.weight - torch.Size([1024, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.fusion_layers.3.attn.l_proj.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.fusion_layers.3.attn.values_v_proj.weight - torch.Size([1024, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.fusion_layers.3.attn.values_v_proj.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.fusion_layers.3.attn.values_l_proj.weight - torch.Size([1024, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.fusion_layers.3.attn.values_l_proj.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.fusion_layers.3.attn.out_v_proj.weight - torch.Size([256, 1024]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.fusion_layers.3.attn.out_v_proj.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.fusion_layers.3.attn.out_l_proj.weight - torch.Size([256, 1024]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.fusion_layers.3.attn.out_l_proj.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.fusion_layers.4.gamma_v - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.fusion_layers.4.gamma_l - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.fusion_layers.4.layer_norm_v.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.fusion_layers.4.layer_norm_v.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.fusion_layers.4.layer_norm_l.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.fusion_layers.4.layer_norm_l.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.fusion_layers.4.attn.v_proj.weight - torch.Size([1024, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.fusion_layers.4.attn.v_proj.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.fusion_layers.4.attn.l_proj.weight - torch.Size([1024, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.fusion_layers.4.attn.l_proj.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.fusion_layers.4.attn.values_v_proj.weight - torch.Size([1024, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.fusion_layers.4.attn.values_v_proj.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.fusion_layers.4.attn.values_l_proj.weight - torch.Size([1024, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.fusion_layers.4.attn.values_l_proj.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.fusion_layers.4.attn.out_v_proj.weight - torch.Size([256, 1024]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.fusion_layers.4.attn.out_v_proj.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.fusion_layers.4.attn.out_l_proj.weight - torch.Size([256, 1024]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.fusion_layers.4.attn.out_l_proj.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.fusion_layers.5.gamma_v - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.fusion_layers.5.gamma_l - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.fusion_layers.5.layer_norm_v.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.fusion_layers.5.layer_norm_v.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.fusion_layers.5.layer_norm_l.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.fusion_layers.5.layer_norm_l.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.fusion_layers.5.attn.v_proj.weight - torch.Size([1024, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.fusion_layers.5.attn.v_proj.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.fusion_layers.5.attn.l_proj.weight - torch.Size([1024, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.fusion_layers.5.attn.l_proj.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.fusion_layers.5.attn.values_v_proj.weight - torch.Size([1024, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.fusion_layers.5.attn.values_v_proj.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.fusion_layers.5.attn.values_l_proj.weight - torch.Size([1024, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.fusion_layers.5.attn.values_l_proj.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.fusion_layers.5.attn.out_v_proj.weight - torch.Size([256, 1024]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.fusion_layers.5.attn.out_v_proj.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.fusion_layers.5.attn.out_l_proj.weight - torch.Size([256, 1024]): +The value is the same before and after calling `init_weights` of GroundingDINO + +encoder.fusion_layers.5.attn.out_l_proj.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.0.self_attn.attn.in_proj_weight - torch.Size([768, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.0.self_attn.attn.in_proj_bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.0.self_attn.attn.out_proj.weight - torch.Size([256, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.0.self_attn.attn.out_proj.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.0.cross_attn_text.attn.in_proj_weight - torch.Size([768, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.0.cross_attn_text.attn.in_proj_bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.0.cross_attn_text.attn.out_proj.weight - torch.Size([256, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.0.cross_attn_text.attn.out_proj.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.0.cross_attn.sampling_offsets.weight - torch.Size([256, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.0.cross_attn.sampling_offsets.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.0.cross_attn.attention_weights.weight - torch.Size([128, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.0.cross_attn.attention_weights.bias - torch.Size([128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.0.cross_attn.value_proj.weight - torch.Size([256, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.0.cross_attn.value_proj.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.0.cross_attn.output_proj.weight - torch.Size([256, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.0.cross_attn.output_proj.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.0.ffn.layers.0.0.weight - torch.Size([2048, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.0.ffn.layers.0.0.bias - torch.Size([2048]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.0.ffn.layers.1.weight - torch.Size([256, 2048]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.0.ffn.layers.1.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.0.norms.0.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.0.norms.0.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.0.norms.1.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.0.norms.1.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.0.norms.2.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.0.norms.2.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.0.norms.3.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.0.norms.3.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.1.self_attn.attn.in_proj_weight - torch.Size([768, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.1.self_attn.attn.in_proj_bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.1.self_attn.attn.out_proj.weight - torch.Size([256, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.1.self_attn.attn.out_proj.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.1.cross_attn_text.attn.in_proj_weight - torch.Size([768, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.1.cross_attn_text.attn.in_proj_bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.1.cross_attn_text.attn.out_proj.weight - torch.Size([256, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.1.cross_attn_text.attn.out_proj.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.1.cross_attn.sampling_offsets.weight - torch.Size([256, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.1.cross_attn.sampling_offsets.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.1.cross_attn.attention_weights.weight - torch.Size([128, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.1.cross_attn.attention_weights.bias - torch.Size([128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.1.cross_attn.value_proj.weight - torch.Size([256, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.1.cross_attn.value_proj.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.1.cross_attn.output_proj.weight - torch.Size([256, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.1.cross_attn.output_proj.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.1.ffn.layers.0.0.weight - torch.Size([2048, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.1.ffn.layers.0.0.bias - torch.Size([2048]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.1.ffn.layers.1.weight - torch.Size([256, 2048]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.1.ffn.layers.1.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.1.norms.0.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.1.norms.0.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.1.norms.1.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.1.norms.1.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.1.norms.2.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.1.norms.2.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.1.norms.3.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.1.norms.3.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.2.self_attn.attn.in_proj_weight - torch.Size([768, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.2.self_attn.attn.in_proj_bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.2.self_attn.attn.out_proj.weight - torch.Size([256, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.2.self_attn.attn.out_proj.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.2.cross_attn_text.attn.in_proj_weight - torch.Size([768, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.2.cross_attn_text.attn.in_proj_bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.2.cross_attn_text.attn.out_proj.weight - torch.Size([256, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.2.cross_attn_text.attn.out_proj.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.2.cross_attn.sampling_offsets.weight - torch.Size([256, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.2.cross_attn.sampling_offsets.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.2.cross_attn.attention_weights.weight - torch.Size([128, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.2.cross_attn.attention_weights.bias - torch.Size([128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.2.cross_attn.value_proj.weight - torch.Size([256, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.2.cross_attn.value_proj.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.2.cross_attn.output_proj.weight - torch.Size([256, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.2.cross_attn.output_proj.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.2.ffn.layers.0.0.weight - torch.Size([2048, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.2.ffn.layers.0.0.bias - torch.Size([2048]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.2.ffn.layers.1.weight - torch.Size([256, 2048]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.2.ffn.layers.1.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.2.norms.0.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.2.norms.0.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.2.norms.1.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.2.norms.1.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.2.norms.2.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.2.norms.2.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.2.norms.3.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.2.norms.3.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.3.self_attn.attn.in_proj_weight - torch.Size([768, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.3.self_attn.attn.in_proj_bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.3.self_attn.attn.out_proj.weight - torch.Size([256, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.3.self_attn.attn.out_proj.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.3.cross_attn_text.attn.in_proj_weight - torch.Size([768, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.3.cross_attn_text.attn.in_proj_bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.3.cross_attn_text.attn.out_proj.weight - torch.Size([256, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.3.cross_attn_text.attn.out_proj.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.3.cross_attn.sampling_offsets.weight - torch.Size([256, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.3.cross_attn.sampling_offsets.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.3.cross_attn.attention_weights.weight - torch.Size([128, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.3.cross_attn.attention_weights.bias - torch.Size([128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.3.cross_attn.value_proj.weight - torch.Size([256, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.3.cross_attn.value_proj.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.3.cross_attn.output_proj.weight - torch.Size([256, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.3.cross_attn.output_proj.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.3.ffn.layers.0.0.weight - torch.Size([2048, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.3.ffn.layers.0.0.bias - torch.Size([2048]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.3.ffn.layers.1.weight - torch.Size([256, 2048]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.3.ffn.layers.1.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.3.norms.0.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.3.norms.0.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.3.norms.1.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.3.norms.1.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.3.norms.2.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.3.norms.2.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.3.norms.3.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.3.norms.3.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.4.self_attn.attn.in_proj_weight - torch.Size([768, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.4.self_attn.attn.in_proj_bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.4.self_attn.attn.out_proj.weight - torch.Size([256, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.4.self_attn.attn.out_proj.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.4.cross_attn_text.attn.in_proj_weight - torch.Size([768, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.4.cross_attn_text.attn.in_proj_bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.4.cross_attn_text.attn.out_proj.weight - torch.Size([256, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.4.cross_attn_text.attn.out_proj.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.4.cross_attn.sampling_offsets.weight - torch.Size([256, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.4.cross_attn.sampling_offsets.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.4.cross_attn.attention_weights.weight - torch.Size([128, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.4.cross_attn.attention_weights.bias - torch.Size([128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.4.cross_attn.value_proj.weight - torch.Size([256, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.4.cross_attn.value_proj.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.4.cross_attn.output_proj.weight - torch.Size([256, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.4.cross_attn.output_proj.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.4.ffn.layers.0.0.weight - torch.Size([2048, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.4.ffn.layers.0.0.bias - torch.Size([2048]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.4.ffn.layers.1.weight - torch.Size([256, 2048]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.4.ffn.layers.1.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.4.norms.0.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.4.norms.0.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.4.norms.1.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.4.norms.1.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.4.norms.2.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.4.norms.2.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.4.norms.3.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.4.norms.3.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.5.self_attn.attn.in_proj_weight - torch.Size([768, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.5.self_attn.attn.in_proj_bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.5.self_attn.attn.out_proj.weight - torch.Size([256, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.5.self_attn.attn.out_proj.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.5.cross_attn_text.attn.in_proj_weight - torch.Size([768, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.5.cross_attn_text.attn.in_proj_bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.5.cross_attn_text.attn.out_proj.weight - torch.Size([256, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.5.cross_attn_text.attn.out_proj.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.5.cross_attn.sampling_offsets.weight - torch.Size([256, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.5.cross_attn.sampling_offsets.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.5.cross_attn.attention_weights.weight - torch.Size([128, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.5.cross_attn.attention_weights.bias - torch.Size([128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.5.cross_attn.value_proj.weight - torch.Size([256, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.5.cross_attn.value_proj.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.5.cross_attn.output_proj.weight - torch.Size([256, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.5.cross_attn.output_proj.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.5.ffn.layers.0.0.weight - torch.Size([2048, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.5.ffn.layers.0.0.bias - torch.Size([2048]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.5.ffn.layers.1.weight - torch.Size([256, 2048]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.5.ffn.layers.1.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.5.norms.0.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.5.norms.0.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.5.norms.1.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.5.norms.1.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.5.norms.2.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.5.norms.2.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.5.norms.3.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.layers.5.norms.3.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.ref_point_head.layers.0.weight - torch.Size([256, 512]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.ref_point_head.layers.0.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.ref_point_head.layers.1.weight - torch.Size([256, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.ref_point_head.layers.1.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.norm.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +decoder.norm.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +query_embedding.weight - torch.Size([900, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +memory_trans_fc.weight - torch.Size([256, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +memory_trans_fc.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +memory_trans_norm.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +memory_trans_norm.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.embeddings.word_embeddings.weight - torch.Size([30522, 768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.embeddings.position_embeddings.weight - torch.Size([512, 768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.embeddings.token_type_embeddings.weight - torch.Size([2, 768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.embeddings.LayerNorm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.embeddings.LayerNorm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.0.attention.self.query.weight - torch.Size([768, 768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.0.attention.self.query.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.0.attention.self.key.weight - torch.Size([768, 768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.0.attention.self.key.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.0.attention.self.value.weight - torch.Size([768, 768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.0.attention.self.value.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.0.attention.output.dense.weight - torch.Size([768, 768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.0.attention.output.dense.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.0.attention.output.LayerNorm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.0.attention.output.LayerNorm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.0.intermediate.dense.weight - torch.Size([3072, 768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.0.intermediate.dense.bias - torch.Size([3072]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.0.output.dense.weight - torch.Size([768, 3072]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.0.output.dense.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.0.output.LayerNorm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.0.output.LayerNorm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.1.attention.self.query.weight - torch.Size([768, 768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.1.attention.self.query.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.1.attention.self.key.weight - torch.Size([768, 768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.1.attention.self.key.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.1.attention.self.value.weight - torch.Size([768, 768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.1.attention.self.value.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.1.attention.output.dense.weight - torch.Size([768, 768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.1.attention.output.dense.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.1.attention.output.LayerNorm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.1.attention.output.LayerNorm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.1.intermediate.dense.weight - torch.Size([3072, 768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.1.intermediate.dense.bias - torch.Size([3072]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.1.output.dense.weight - torch.Size([768, 3072]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.1.output.dense.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.1.output.LayerNorm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.1.output.LayerNorm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.2.attention.self.query.weight - torch.Size([768, 768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.2.attention.self.query.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.2.attention.self.key.weight - torch.Size([768, 768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.2.attention.self.key.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.2.attention.self.value.weight - torch.Size([768, 768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.2.attention.self.value.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.2.attention.output.dense.weight - torch.Size([768, 768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.2.attention.output.dense.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.2.attention.output.LayerNorm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.2.attention.output.LayerNorm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.2.intermediate.dense.weight - torch.Size([3072, 768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.2.intermediate.dense.bias - torch.Size([3072]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.2.output.dense.weight - torch.Size([768, 3072]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.2.output.dense.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.2.output.LayerNorm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.2.output.LayerNorm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.3.attention.self.query.weight - torch.Size([768, 768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.3.attention.self.query.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.3.attention.self.key.weight - torch.Size([768, 768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.3.attention.self.key.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.3.attention.self.value.weight - torch.Size([768, 768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.3.attention.self.value.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.3.attention.output.dense.weight - torch.Size([768, 768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.3.attention.output.dense.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.3.attention.output.LayerNorm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.3.attention.output.LayerNorm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.3.intermediate.dense.weight - torch.Size([3072, 768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.3.intermediate.dense.bias - torch.Size([3072]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.3.output.dense.weight - torch.Size([768, 3072]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.3.output.dense.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.3.output.LayerNorm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.3.output.LayerNorm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.4.attention.self.query.weight - torch.Size([768, 768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.4.attention.self.query.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.4.attention.self.key.weight - torch.Size([768, 768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.4.attention.self.key.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.4.attention.self.value.weight - torch.Size([768, 768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.4.attention.self.value.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.4.attention.output.dense.weight - torch.Size([768, 768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.4.attention.output.dense.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.4.attention.output.LayerNorm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.4.attention.output.LayerNorm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.4.intermediate.dense.weight - torch.Size([3072, 768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.4.intermediate.dense.bias - torch.Size([3072]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.4.output.dense.weight - torch.Size([768, 3072]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.4.output.dense.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.4.output.LayerNorm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.4.output.LayerNorm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.5.attention.self.query.weight - torch.Size([768, 768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.5.attention.self.query.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.5.attention.self.key.weight - torch.Size([768, 768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.5.attention.self.key.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.5.attention.self.value.weight - torch.Size([768, 768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.5.attention.self.value.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.5.attention.output.dense.weight - torch.Size([768, 768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.5.attention.output.dense.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.5.attention.output.LayerNorm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.5.attention.output.LayerNorm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.5.intermediate.dense.weight - torch.Size([3072, 768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.5.intermediate.dense.bias - torch.Size([3072]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.5.output.dense.weight - torch.Size([768, 3072]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.5.output.dense.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.5.output.LayerNorm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.5.output.LayerNorm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.6.attention.self.query.weight - torch.Size([768, 768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.6.attention.self.query.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.6.attention.self.key.weight - torch.Size([768, 768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.6.attention.self.key.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.6.attention.self.value.weight - torch.Size([768, 768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.6.attention.self.value.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.6.attention.output.dense.weight - torch.Size([768, 768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.6.attention.output.dense.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.6.attention.output.LayerNorm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.6.attention.output.LayerNorm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.6.intermediate.dense.weight - torch.Size([3072, 768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.6.intermediate.dense.bias - torch.Size([3072]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.6.output.dense.weight - torch.Size([768, 3072]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.6.output.dense.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.6.output.LayerNorm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.6.output.LayerNorm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.7.attention.self.query.weight - torch.Size([768, 768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.7.attention.self.query.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.7.attention.self.key.weight - torch.Size([768, 768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.7.attention.self.key.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.7.attention.self.value.weight - torch.Size([768, 768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.7.attention.self.value.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.7.attention.output.dense.weight - torch.Size([768, 768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.7.attention.output.dense.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.7.attention.output.LayerNorm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.7.attention.output.LayerNorm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.7.intermediate.dense.weight - torch.Size([3072, 768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.7.intermediate.dense.bias - torch.Size([3072]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.7.output.dense.weight - torch.Size([768, 3072]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.7.output.dense.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.7.output.LayerNorm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.7.output.LayerNorm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.8.attention.self.query.weight - torch.Size([768, 768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.8.attention.self.query.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.8.attention.self.key.weight - torch.Size([768, 768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.8.attention.self.key.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.8.attention.self.value.weight - torch.Size([768, 768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.8.attention.self.value.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.8.attention.output.dense.weight - torch.Size([768, 768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.8.attention.output.dense.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.8.attention.output.LayerNorm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.8.attention.output.LayerNorm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.8.intermediate.dense.weight - torch.Size([3072, 768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.8.intermediate.dense.bias - torch.Size([3072]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.8.output.dense.weight - torch.Size([768, 3072]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.8.output.dense.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.8.output.LayerNorm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.8.output.LayerNorm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.9.attention.self.query.weight - torch.Size([768, 768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.9.attention.self.query.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.9.attention.self.key.weight - torch.Size([768, 768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.9.attention.self.key.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.9.attention.self.value.weight - torch.Size([768, 768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.9.attention.self.value.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.9.attention.output.dense.weight - torch.Size([768, 768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.9.attention.output.dense.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.9.attention.output.LayerNorm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.9.attention.output.LayerNorm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.9.intermediate.dense.weight - torch.Size([3072, 768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.9.intermediate.dense.bias - torch.Size([3072]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.9.output.dense.weight - torch.Size([768, 3072]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.9.output.dense.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.9.output.LayerNorm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.9.output.LayerNorm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.10.attention.self.query.weight - torch.Size([768, 768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.10.attention.self.query.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.10.attention.self.key.weight - torch.Size([768, 768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.10.attention.self.key.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.10.attention.self.value.weight - torch.Size([768, 768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.10.attention.self.value.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.10.attention.output.dense.weight - torch.Size([768, 768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.10.attention.output.dense.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.10.attention.output.LayerNorm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.10.attention.output.LayerNorm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.10.intermediate.dense.weight - torch.Size([3072, 768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.10.intermediate.dense.bias - torch.Size([3072]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.10.output.dense.weight - torch.Size([768, 3072]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.10.output.dense.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.10.output.LayerNorm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.10.output.LayerNorm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.11.attention.self.query.weight - torch.Size([768, 768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.11.attention.self.query.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.11.attention.self.key.weight - torch.Size([768, 768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.11.attention.self.key.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.11.attention.self.value.weight - torch.Size([768, 768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.11.attention.self.value.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.11.attention.output.dense.weight - torch.Size([768, 768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.11.attention.output.dense.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.11.attention.output.LayerNorm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.11.attention.output.LayerNorm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.11.intermediate.dense.weight - torch.Size([3072, 768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.11.intermediate.dense.bias - torch.Size([3072]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.11.output.dense.weight - torch.Size([768, 3072]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.11.output.dense.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.11.output.LayerNorm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +language_model.language_backbone.body.model.encoder.layer.11.output.LayerNorm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +text_feat_map.weight - torch.Size([256, 768]): +The value is the same before and after calling `init_weights` of GroundingDINO + +text_feat_map.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +dn_query_generator.label_embedding.weight - torch.Size([256, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.embed_tokens.weight - torch.Size([151647, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.0.self_attn.q_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.0.self_attn.q_proj.lora_B.weight - torch.Size([896, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.0.self_attn.q_proj.ori_model.weight - torch.Size([896, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.0.self_attn.q_proj.ori_model.bias - torch.Size([896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.0.self_attn.k_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.0.self_attn.k_proj.lora_B.weight - torch.Size([128, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.0.self_attn.k_proj.ori_model.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.0.self_attn.k_proj.ori_model.bias - torch.Size([128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.0.self_attn.v_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.0.self_attn.v_proj.lora_B.weight - torch.Size([128, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.0.self_attn.v_proj.ori_model.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.0.self_attn.v_proj.ori_model.bias - torch.Size([128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.0.self_attn.o_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.0.self_attn.o_proj.lora_B.weight - torch.Size([896, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.0.self_attn.o_proj.ori_model.weight - torch.Size([896, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.0.mlp.gate_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.0.mlp.gate_proj.lora_B.weight - torch.Size([4864, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.0.mlp.gate_proj.ori_model.weight - torch.Size([4864, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.0.mlp.up_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.0.mlp.up_proj.lora_B.weight - torch.Size([4864, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.0.mlp.up_proj.ori_model.weight - torch.Size([4864, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.0.mlp.down_proj.lora_A.weight - torch.Size([128, 4864]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.0.mlp.down_proj.lora_B.weight - torch.Size([896, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.0.mlp.down_proj.ori_model.weight - torch.Size([896, 4864]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.0.input_layernorm.weight - torch.Size([896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.0.post_attention_layernorm.weight - torch.Size([896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.0.down_proj.weight - torch.Size([256, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.0.down_proj.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.0.up_proj.weight - torch.Size([896, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.0.up_proj.bias - torch.Size([896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.0.corss_attn_norm.weight - torch.Size([896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.0.cross_attn.sampling_offsets.weight - torch.Size([256, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.0.cross_attn.sampling_offsets.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.0.cross_attn.attention_weights.weight - torch.Size([128, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.0.cross_attn.attention_weights.bias - torch.Size([128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.0.cross_attn.value_proj.weight - torch.Size([256, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.0.cross_attn.value_proj.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.0.cross_attn.output_proj.weight - torch.Size([256, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.0.cross_attn.output_proj.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.1.self_attn.q_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.1.self_attn.q_proj.lora_B.weight - torch.Size([896, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.1.self_attn.q_proj.ori_model.weight - torch.Size([896, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.1.self_attn.q_proj.ori_model.bias - torch.Size([896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.1.self_attn.k_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.1.self_attn.k_proj.lora_B.weight - torch.Size([128, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.1.self_attn.k_proj.ori_model.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.1.self_attn.k_proj.ori_model.bias - torch.Size([128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.1.self_attn.v_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.1.self_attn.v_proj.lora_B.weight - torch.Size([128, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.1.self_attn.v_proj.ori_model.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.1.self_attn.v_proj.ori_model.bias - torch.Size([128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.1.self_attn.o_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.1.self_attn.o_proj.lora_B.weight - torch.Size([896, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.1.self_attn.o_proj.ori_model.weight - torch.Size([896, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.1.mlp.gate_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.1.mlp.gate_proj.lora_B.weight - torch.Size([4864, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.1.mlp.gate_proj.ori_model.weight - torch.Size([4864, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.1.mlp.up_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.1.mlp.up_proj.lora_B.weight - torch.Size([4864, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.1.mlp.up_proj.ori_model.weight - torch.Size([4864, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.1.mlp.down_proj.lora_A.weight - torch.Size([128, 4864]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.1.mlp.down_proj.lora_B.weight - torch.Size([896, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.1.mlp.down_proj.ori_model.weight - torch.Size([896, 4864]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.1.input_layernorm.weight - torch.Size([896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.1.post_attention_layernorm.weight - torch.Size([896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.2.self_attn.q_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.2.self_attn.q_proj.lora_B.weight - torch.Size([896, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.2.self_attn.q_proj.ori_model.weight - torch.Size([896, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.2.self_attn.q_proj.ori_model.bias - torch.Size([896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.2.self_attn.k_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.2.self_attn.k_proj.lora_B.weight - torch.Size([128, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.2.self_attn.k_proj.ori_model.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.2.self_attn.k_proj.ori_model.bias - torch.Size([128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.2.self_attn.v_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.2.self_attn.v_proj.lora_B.weight - torch.Size([128, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.2.self_attn.v_proj.ori_model.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.2.self_attn.v_proj.ori_model.bias - torch.Size([128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.2.self_attn.o_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.2.self_attn.o_proj.lora_B.weight - torch.Size([896, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.2.self_attn.o_proj.ori_model.weight - torch.Size([896, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.2.mlp.gate_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.2.mlp.gate_proj.lora_B.weight - torch.Size([4864, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.2.mlp.gate_proj.ori_model.weight - torch.Size([4864, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.2.mlp.up_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.2.mlp.up_proj.lora_B.weight - torch.Size([4864, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.2.mlp.up_proj.ori_model.weight - torch.Size([4864, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.2.mlp.down_proj.lora_A.weight - torch.Size([128, 4864]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.2.mlp.down_proj.lora_B.weight - torch.Size([896, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.2.mlp.down_proj.ori_model.weight - torch.Size([896, 4864]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.2.input_layernorm.weight - torch.Size([896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.2.post_attention_layernorm.weight - torch.Size([896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.3.self_attn.q_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.3.self_attn.q_proj.lora_B.weight - torch.Size([896, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.3.self_attn.q_proj.ori_model.weight - torch.Size([896, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.3.self_attn.q_proj.ori_model.bias - torch.Size([896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.3.self_attn.k_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.3.self_attn.k_proj.lora_B.weight - torch.Size([128, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.3.self_attn.k_proj.ori_model.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.3.self_attn.k_proj.ori_model.bias - torch.Size([128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.3.self_attn.v_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.3.self_attn.v_proj.lora_B.weight - torch.Size([128, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.3.self_attn.v_proj.ori_model.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.3.self_attn.v_proj.ori_model.bias - torch.Size([128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.3.self_attn.o_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.3.self_attn.o_proj.lora_B.weight - torch.Size([896, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.3.self_attn.o_proj.ori_model.weight - torch.Size([896, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.3.mlp.gate_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.3.mlp.gate_proj.lora_B.weight - torch.Size([4864, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.3.mlp.gate_proj.ori_model.weight - torch.Size([4864, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.3.mlp.up_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.3.mlp.up_proj.lora_B.weight - torch.Size([4864, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.3.mlp.up_proj.ori_model.weight - torch.Size([4864, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.3.mlp.down_proj.lora_A.weight - torch.Size([128, 4864]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.3.mlp.down_proj.lora_B.weight - torch.Size([896, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.3.mlp.down_proj.ori_model.weight - torch.Size([896, 4864]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.3.input_layernorm.weight - torch.Size([896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.3.post_attention_layernorm.weight - torch.Size([896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.4.self_attn.q_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.4.self_attn.q_proj.lora_B.weight - torch.Size([896, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.4.self_attn.q_proj.ori_model.weight - torch.Size([896, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.4.self_attn.q_proj.ori_model.bias - torch.Size([896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.4.self_attn.k_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.4.self_attn.k_proj.lora_B.weight - torch.Size([128, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.4.self_attn.k_proj.ori_model.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.4.self_attn.k_proj.ori_model.bias - torch.Size([128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.4.self_attn.v_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.4.self_attn.v_proj.lora_B.weight - torch.Size([128, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.4.self_attn.v_proj.ori_model.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.4.self_attn.v_proj.ori_model.bias - torch.Size([128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.4.self_attn.o_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.4.self_attn.o_proj.lora_B.weight - torch.Size([896, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.4.self_attn.o_proj.ori_model.weight - torch.Size([896, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.4.mlp.gate_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.4.mlp.gate_proj.lora_B.weight - torch.Size([4864, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.4.mlp.gate_proj.ori_model.weight - torch.Size([4864, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.4.mlp.up_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.4.mlp.up_proj.lora_B.weight - torch.Size([4864, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.4.mlp.up_proj.ori_model.weight - torch.Size([4864, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.4.mlp.down_proj.lora_A.weight - torch.Size([128, 4864]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.4.mlp.down_proj.lora_B.weight - torch.Size([896, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.4.mlp.down_proj.ori_model.weight - torch.Size([896, 4864]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.4.input_layernorm.weight - torch.Size([896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.4.post_attention_layernorm.weight - torch.Size([896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.4.down_proj.weight - torch.Size([256, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.4.down_proj.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.4.up_proj.weight - torch.Size([896, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.4.up_proj.bias - torch.Size([896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.4.corss_attn_norm.weight - torch.Size([896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.4.cross_attn.sampling_offsets.weight - torch.Size([256, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.4.cross_attn.sampling_offsets.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.4.cross_attn.attention_weights.weight - torch.Size([128, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.4.cross_attn.attention_weights.bias - torch.Size([128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.4.cross_attn.value_proj.weight - torch.Size([256, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.4.cross_attn.value_proj.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.4.cross_attn.output_proj.weight - torch.Size([256, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.4.cross_attn.output_proj.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.5.self_attn.q_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.5.self_attn.q_proj.lora_B.weight - torch.Size([896, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.5.self_attn.q_proj.ori_model.weight - torch.Size([896, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.5.self_attn.q_proj.ori_model.bias - torch.Size([896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.5.self_attn.k_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.5.self_attn.k_proj.lora_B.weight - torch.Size([128, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.5.self_attn.k_proj.ori_model.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.5.self_attn.k_proj.ori_model.bias - torch.Size([128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.5.self_attn.v_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.5.self_attn.v_proj.lora_B.weight - torch.Size([128, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.5.self_attn.v_proj.ori_model.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.5.self_attn.v_proj.ori_model.bias - torch.Size([128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.5.self_attn.o_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.5.self_attn.o_proj.lora_B.weight - torch.Size([896, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.5.self_attn.o_proj.ori_model.weight - torch.Size([896, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.5.mlp.gate_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.5.mlp.gate_proj.lora_B.weight - torch.Size([4864, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.5.mlp.gate_proj.ori_model.weight - torch.Size([4864, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.5.mlp.up_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.5.mlp.up_proj.lora_B.weight - torch.Size([4864, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.5.mlp.up_proj.ori_model.weight - torch.Size([4864, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.5.mlp.down_proj.lora_A.weight - torch.Size([128, 4864]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.5.mlp.down_proj.lora_B.weight - torch.Size([896, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.5.mlp.down_proj.ori_model.weight - torch.Size([896, 4864]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.5.input_layernorm.weight - torch.Size([896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.5.post_attention_layernorm.weight - torch.Size([896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.6.self_attn.q_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.6.self_attn.q_proj.lora_B.weight - torch.Size([896, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.6.self_attn.q_proj.ori_model.weight - torch.Size([896, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.6.self_attn.q_proj.ori_model.bias - torch.Size([896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.6.self_attn.k_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.6.self_attn.k_proj.lora_B.weight - torch.Size([128, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.6.self_attn.k_proj.ori_model.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.6.self_attn.k_proj.ori_model.bias - torch.Size([128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.6.self_attn.v_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.6.self_attn.v_proj.lora_B.weight - torch.Size([128, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.6.self_attn.v_proj.ori_model.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.6.self_attn.v_proj.ori_model.bias - torch.Size([128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.6.self_attn.o_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.6.self_attn.o_proj.lora_B.weight - torch.Size([896, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.6.self_attn.o_proj.ori_model.weight - torch.Size([896, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.6.mlp.gate_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.6.mlp.gate_proj.lora_B.weight - torch.Size([4864, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.6.mlp.gate_proj.ori_model.weight - torch.Size([4864, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.6.mlp.up_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.6.mlp.up_proj.lora_B.weight - torch.Size([4864, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.6.mlp.up_proj.ori_model.weight - torch.Size([4864, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.6.mlp.down_proj.lora_A.weight - torch.Size([128, 4864]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.6.mlp.down_proj.lora_B.weight - torch.Size([896, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.6.mlp.down_proj.ori_model.weight - torch.Size([896, 4864]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.6.input_layernorm.weight - torch.Size([896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.6.post_attention_layernorm.weight - torch.Size([896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.7.self_attn.q_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.7.self_attn.q_proj.lora_B.weight - torch.Size([896, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.7.self_attn.q_proj.ori_model.weight - torch.Size([896, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.7.self_attn.q_proj.ori_model.bias - torch.Size([896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.7.self_attn.k_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.7.self_attn.k_proj.lora_B.weight - torch.Size([128, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.7.self_attn.k_proj.ori_model.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.7.self_attn.k_proj.ori_model.bias - torch.Size([128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.7.self_attn.v_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.7.self_attn.v_proj.lora_B.weight - torch.Size([128, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.7.self_attn.v_proj.ori_model.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.7.self_attn.v_proj.ori_model.bias - torch.Size([128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.7.self_attn.o_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.7.self_attn.o_proj.lora_B.weight - torch.Size([896, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.7.self_attn.o_proj.ori_model.weight - torch.Size([896, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.7.mlp.gate_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.7.mlp.gate_proj.lora_B.weight - torch.Size([4864, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.7.mlp.gate_proj.ori_model.weight - torch.Size([4864, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.7.mlp.up_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.7.mlp.up_proj.lora_B.weight - torch.Size([4864, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.7.mlp.up_proj.ori_model.weight - torch.Size([4864, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.7.mlp.down_proj.lora_A.weight - torch.Size([128, 4864]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.7.mlp.down_proj.lora_B.weight - torch.Size([896, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.7.mlp.down_proj.ori_model.weight - torch.Size([896, 4864]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.7.input_layernorm.weight - torch.Size([896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.7.post_attention_layernorm.weight - torch.Size([896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.8.self_attn.q_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.8.self_attn.q_proj.lora_B.weight - torch.Size([896, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.8.self_attn.q_proj.ori_model.weight - torch.Size([896, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.8.self_attn.q_proj.ori_model.bias - torch.Size([896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.8.self_attn.k_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.8.self_attn.k_proj.lora_B.weight - torch.Size([128, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.8.self_attn.k_proj.ori_model.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.8.self_attn.k_proj.ori_model.bias - torch.Size([128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.8.self_attn.v_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.8.self_attn.v_proj.lora_B.weight - torch.Size([128, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.8.self_attn.v_proj.ori_model.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.8.self_attn.v_proj.ori_model.bias - torch.Size([128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.8.self_attn.o_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.8.self_attn.o_proj.lora_B.weight - torch.Size([896, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.8.self_attn.o_proj.ori_model.weight - torch.Size([896, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.8.mlp.gate_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.8.mlp.gate_proj.lora_B.weight - torch.Size([4864, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.8.mlp.gate_proj.ori_model.weight - torch.Size([4864, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.8.mlp.up_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.8.mlp.up_proj.lora_B.weight - torch.Size([4864, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.8.mlp.up_proj.ori_model.weight - torch.Size([4864, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.8.mlp.down_proj.lora_A.weight - torch.Size([128, 4864]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.8.mlp.down_proj.lora_B.weight - torch.Size([896, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.8.mlp.down_proj.ori_model.weight - torch.Size([896, 4864]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.8.input_layernorm.weight - torch.Size([896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.8.post_attention_layernorm.weight - torch.Size([896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.8.down_proj.weight - torch.Size([256, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.8.down_proj.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.8.up_proj.weight - torch.Size([896, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.8.up_proj.bias - torch.Size([896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.8.corss_attn_norm.weight - torch.Size([896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.8.cross_attn.sampling_offsets.weight - torch.Size([256, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.8.cross_attn.sampling_offsets.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.8.cross_attn.attention_weights.weight - torch.Size([128, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.8.cross_attn.attention_weights.bias - torch.Size([128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.8.cross_attn.value_proj.weight - torch.Size([256, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.8.cross_attn.value_proj.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.8.cross_attn.output_proj.weight - torch.Size([256, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.8.cross_attn.output_proj.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.9.self_attn.q_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.9.self_attn.q_proj.lora_B.weight - torch.Size([896, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.9.self_attn.q_proj.ori_model.weight - torch.Size([896, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.9.self_attn.q_proj.ori_model.bias - torch.Size([896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.9.self_attn.k_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.9.self_attn.k_proj.lora_B.weight - torch.Size([128, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.9.self_attn.k_proj.ori_model.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.9.self_attn.k_proj.ori_model.bias - torch.Size([128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.9.self_attn.v_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.9.self_attn.v_proj.lora_B.weight - torch.Size([128, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.9.self_attn.v_proj.ori_model.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.9.self_attn.v_proj.ori_model.bias - torch.Size([128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.9.self_attn.o_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.9.self_attn.o_proj.lora_B.weight - torch.Size([896, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.9.self_attn.o_proj.ori_model.weight - torch.Size([896, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.9.mlp.gate_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.9.mlp.gate_proj.lora_B.weight - torch.Size([4864, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.9.mlp.gate_proj.ori_model.weight - torch.Size([4864, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.9.mlp.up_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.9.mlp.up_proj.lora_B.weight - torch.Size([4864, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.9.mlp.up_proj.ori_model.weight - torch.Size([4864, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.9.mlp.down_proj.lora_A.weight - torch.Size([128, 4864]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.9.mlp.down_proj.lora_B.weight - torch.Size([896, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.9.mlp.down_proj.ori_model.weight - torch.Size([896, 4864]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.9.input_layernorm.weight - torch.Size([896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.9.post_attention_layernorm.weight - torch.Size([896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.10.self_attn.q_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.10.self_attn.q_proj.lora_B.weight - torch.Size([896, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.10.self_attn.q_proj.ori_model.weight - torch.Size([896, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.10.self_attn.q_proj.ori_model.bias - torch.Size([896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.10.self_attn.k_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.10.self_attn.k_proj.lora_B.weight - torch.Size([128, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.10.self_attn.k_proj.ori_model.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.10.self_attn.k_proj.ori_model.bias - torch.Size([128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.10.self_attn.v_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.10.self_attn.v_proj.lora_B.weight - torch.Size([128, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.10.self_attn.v_proj.ori_model.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.10.self_attn.v_proj.ori_model.bias - torch.Size([128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.10.self_attn.o_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.10.self_attn.o_proj.lora_B.weight - torch.Size([896, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.10.self_attn.o_proj.ori_model.weight - torch.Size([896, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.10.mlp.gate_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.10.mlp.gate_proj.lora_B.weight - torch.Size([4864, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.10.mlp.gate_proj.ori_model.weight - torch.Size([4864, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.10.mlp.up_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.10.mlp.up_proj.lora_B.weight - torch.Size([4864, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.10.mlp.up_proj.ori_model.weight - torch.Size([4864, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.10.mlp.down_proj.lora_A.weight - torch.Size([128, 4864]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.10.mlp.down_proj.lora_B.weight - torch.Size([896, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.10.mlp.down_proj.ori_model.weight - torch.Size([896, 4864]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.10.input_layernorm.weight - torch.Size([896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.10.post_attention_layernorm.weight - torch.Size([896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.11.self_attn.q_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.11.self_attn.q_proj.lora_B.weight - torch.Size([896, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.11.self_attn.q_proj.ori_model.weight - torch.Size([896, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.11.self_attn.q_proj.ori_model.bias - torch.Size([896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.11.self_attn.k_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.11.self_attn.k_proj.lora_B.weight - torch.Size([128, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.11.self_attn.k_proj.ori_model.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.11.self_attn.k_proj.ori_model.bias - torch.Size([128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.11.self_attn.v_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.11.self_attn.v_proj.lora_B.weight - torch.Size([128, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.11.self_attn.v_proj.ori_model.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.11.self_attn.v_proj.ori_model.bias - torch.Size([128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.11.self_attn.o_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.11.self_attn.o_proj.lora_B.weight - torch.Size([896, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.11.self_attn.o_proj.ori_model.weight - torch.Size([896, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.11.mlp.gate_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.11.mlp.gate_proj.lora_B.weight - torch.Size([4864, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.11.mlp.gate_proj.ori_model.weight - torch.Size([4864, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.11.mlp.up_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.11.mlp.up_proj.lora_B.weight - torch.Size([4864, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.11.mlp.up_proj.ori_model.weight - torch.Size([4864, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.11.mlp.down_proj.lora_A.weight - torch.Size([128, 4864]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.11.mlp.down_proj.lora_B.weight - torch.Size([896, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.11.mlp.down_proj.ori_model.weight - torch.Size([896, 4864]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.11.input_layernorm.weight - torch.Size([896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.11.post_attention_layernorm.weight - torch.Size([896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.12.self_attn.q_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.12.self_attn.q_proj.lora_B.weight - torch.Size([896, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.12.self_attn.q_proj.ori_model.weight - torch.Size([896, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.12.self_attn.q_proj.ori_model.bias - torch.Size([896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.12.self_attn.k_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.12.self_attn.k_proj.lora_B.weight - torch.Size([128, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.12.self_attn.k_proj.ori_model.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.12.self_attn.k_proj.ori_model.bias - torch.Size([128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.12.self_attn.v_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.12.self_attn.v_proj.lora_B.weight - torch.Size([128, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.12.self_attn.v_proj.ori_model.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.12.self_attn.v_proj.ori_model.bias - torch.Size([128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.12.self_attn.o_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.12.self_attn.o_proj.lora_B.weight - torch.Size([896, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.12.self_attn.o_proj.ori_model.weight - torch.Size([896, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.12.mlp.gate_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.12.mlp.gate_proj.lora_B.weight - torch.Size([4864, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.12.mlp.gate_proj.ori_model.weight - torch.Size([4864, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.12.mlp.up_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.12.mlp.up_proj.lora_B.weight - torch.Size([4864, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.12.mlp.up_proj.ori_model.weight - torch.Size([4864, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.12.mlp.down_proj.lora_A.weight - torch.Size([128, 4864]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.12.mlp.down_proj.lora_B.weight - torch.Size([896, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.12.mlp.down_proj.ori_model.weight - torch.Size([896, 4864]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.12.input_layernorm.weight - torch.Size([896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.12.post_attention_layernorm.weight - torch.Size([896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.12.down_proj.weight - torch.Size([256, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.12.down_proj.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.12.up_proj.weight - torch.Size([896, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.12.up_proj.bias - torch.Size([896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.12.corss_attn_norm.weight - torch.Size([896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.12.cross_attn.sampling_offsets.weight - torch.Size([256, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.12.cross_attn.sampling_offsets.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.12.cross_attn.attention_weights.weight - torch.Size([128, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.12.cross_attn.attention_weights.bias - torch.Size([128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.12.cross_attn.value_proj.weight - torch.Size([256, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.12.cross_attn.value_proj.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.12.cross_attn.output_proj.weight - torch.Size([256, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.12.cross_attn.output_proj.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.13.self_attn.q_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.13.self_attn.q_proj.lora_B.weight - torch.Size([896, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.13.self_attn.q_proj.ori_model.weight - torch.Size([896, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.13.self_attn.q_proj.ori_model.bias - torch.Size([896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.13.self_attn.k_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.13.self_attn.k_proj.lora_B.weight - torch.Size([128, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.13.self_attn.k_proj.ori_model.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.13.self_attn.k_proj.ori_model.bias - torch.Size([128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.13.self_attn.v_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.13.self_attn.v_proj.lora_B.weight - torch.Size([128, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.13.self_attn.v_proj.ori_model.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.13.self_attn.v_proj.ori_model.bias - torch.Size([128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.13.self_attn.o_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.13.self_attn.o_proj.lora_B.weight - torch.Size([896, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.13.self_attn.o_proj.ori_model.weight - torch.Size([896, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.13.mlp.gate_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.13.mlp.gate_proj.lora_B.weight - torch.Size([4864, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.13.mlp.gate_proj.ori_model.weight - torch.Size([4864, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.13.mlp.up_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.13.mlp.up_proj.lora_B.weight - torch.Size([4864, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.13.mlp.up_proj.ori_model.weight - torch.Size([4864, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.13.mlp.down_proj.lora_A.weight - torch.Size([128, 4864]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.13.mlp.down_proj.lora_B.weight - torch.Size([896, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.13.mlp.down_proj.ori_model.weight - torch.Size([896, 4864]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.13.input_layernorm.weight - torch.Size([896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.13.post_attention_layernorm.weight - torch.Size([896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.14.self_attn.q_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.14.self_attn.q_proj.lora_B.weight - torch.Size([896, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.14.self_attn.q_proj.ori_model.weight - torch.Size([896, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.14.self_attn.q_proj.ori_model.bias - torch.Size([896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.14.self_attn.k_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.14.self_attn.k_proj.lora_B.weight - torch.Size([128, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.14.self_attn.k_proj.ori_model.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.14.self_attn.k_proj.ori_model.bias - torch.Size([128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.14.self_attn.v_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.14.self_attn.v_proj.lora_B.weight - torch.Size([128, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.14.self_attn.v_proj.ori_model.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.14.self_attn.v_proj.ori_model.bias - torch.Size([128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.14.self_attn.o_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.14.self_attn.o_proj.lora_B.weight - torch.Size([896, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.14.self_attn.o_proj.ori_model.weight - torch.Size([896, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.14.mlp.gate_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.14.mlp.gate_proj.lora_B.weight - torch.Size([4864, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.14.mlp.gate_proj.ori_model.weight - torch.Size([4864, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.14.mlp.up_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.14.mlp.up_proj.lora_B.weight - torch.Size([4864, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.14.mlp.up_proj.ori_model.weight - torch.Size([4864, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.14.mlp.down_proj.lora_A.weight - torch.Size([128, 4864]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.14.mlp.down_proj.lora_B.weight - torch.Size([896, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.14.mlp.down_proj.ori_model.weight - torch.Size([896, 4864]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.14.input_layernorm.weight - torch.Size([896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.14.post_attention_layernorm.weight - torch.Size([896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.15.self_attn.q_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.15.self_attn.q_proj.lora_B.weight - torch.Size([896, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.15.self_attn.q_proj.ori_model.weight - torch.Size([896, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.15.self_attn.q_proj.ori_model.bias - torch.Size([896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.15.self_attn.k_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.15.self_attn.k_proj.lora_B.weight - torch.Size([128, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.15.self_attn.k_proj.ori_model.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.15.self_attn.k_proj.ori_model.bias - torch.Size([128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.15.self_attn.v_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.15.self_attn.v_proj.lora_B.weight - torch.Size([128, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.15.self_attn.v_proj.ori_model.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.15.self_attn.v_proj.ori_model.bias - torch.Size([128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.15.self_attn.o_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.15.self_attn.o_proj.lora_B.weight - torch.Size([896, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.15.self_attn.o_proj.ori_model.weight - torch.Size([896, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.15.mlp.gate_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.15.mlp.gate_proj.lora_B.weight - torch.Size([4864, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.15.mlp.gate_proj.ori_model.weight - torch.Size([4864, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.15.mlp.up_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.15.mlp.up_proj.lora_B.weight - torch.Size([4864, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.15.mlp.up_proj.ori_model.weight - torch.Size([4864, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.15.mlp.down_proj.lora_A.weight - torch.Size([128, 4864]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.15.mlp.down_proj.lora_B.weight - torch.Size([896, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.15.mlp.down_proj.ori_model.weight - torch.Size([896, 4864]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.15.input_layernorm.weight - torch.Size([896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.15.post_attention_layernorm.weight - torch.Size([896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.16.self_attn.q_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.16.self_attn.q_proj.lora_B.weight - torch.Size([896, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.16.self_attn.q_proj.ori_model.weight - torch.Size([896, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.16.self_attn.q_proj.ori_model.bias - torch.Size([896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.16.self_attn.k_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.16.self_attn.k_proj.lora_B.weight - torch.Size([128, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.16.self_attn.k_proj.ori_model.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.16.self_attn.k_proj.ori_model.bias - torch.Size([128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.16.self_attn.v_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.16.self_attn.v_proj.lora_B.weight - torch.Size([128, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.16.self_attn.v_proj.ori_model.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.16.self_attn.v_proj.ori_model.bias - torch.Size([128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.16.self_attn.o_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.16.self_attn.o_proj.lora_B.weight - torch.Size([896, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.16.self_attn.o_proj.ori_model.weight - torch.Size([896, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.16.mlp.gate_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.16.mlp.gate_proj.lora_B.weight - torch.Size([4864, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.16.mlp.gate_proj.ori_model.weight - torch.Size([4864, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.16.mlp.up_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.16.mlp.up_proj.lora_B.weight - torch.Size([4864, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.16.mlp.up_proj.ori_model.weight - torch.Size([4864, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.16.mlp.down_proj.lora_A.weight - torch.Size([128, 4864]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.16.mlp.down_proj.lora_B.weight - torch.Size([896, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.16.mlp.down_proj.ori_model.weight - torch.Size([896, 4864]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.16.input_layernorm.weight - torch.Size([896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.16.post_attention_layernorm.weight - torch.Size([896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.16.down_proj.weight - torch.Size([256, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.16.down_proj.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.16.up_proj.weight - torch.Size([896, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.16.up_proj.bias - torch.Size([896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.16.corss_attn_norm.weight - torch.Size([896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.16.cross_attn.sampling_offsets.weight - torch.Size([256, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.16.cross_attn.sampling_offsets.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.16.cross_attn.attention_weights.weight - torch.Size([128, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.16.cross_attn.attention_weights.bias - torch.Size([128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.16.cross_attn.value_proj.weight - torch.Size([256, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.16.cross_attn.value_proj.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.16.cross_attn.output_proj.weight - torch.Size([256, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.16.cross_attn.output_proj.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.17.self_attn.q_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.17.self_attn.q_proj.lora_B.weight - torch.Size([896, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.17.self_attn.q_proj.ori_model.weight - torch.Size([896, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.17.self_attn.q_proj.ori_model.bias - torch.Size([896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.17.self_attn.k_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.17.self_attn.k_proj.lora_B.weight - torch.Size([128, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.17.self_attn.k_proj.ori_model.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.17.self_attn.k_proj.ori_model.bias - torch.Size([128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.17.self_attn.v_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.17.self_attn.v_proj.lora_B.weight - torch.Size([128, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.17.self_attn.v_proj.ori_model.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.17.self_attn.v_proj.ori_model.bias - torch.Size([128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.17.self_attn.o_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.17.self_attn.o_proj.lora_B.weight - torch.Size([896, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.17.self_attn.o_proj.ori_model.weight - torch.Size([896, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.17.mlp.gate_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.17.mlp.gate_proj.lora_B.weight - torch.Size([4864, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.17.mlp.gate_proj.ori_model.weight - torch.Size([4864, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.17.mlp.up_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.17.mlp.up_proj.lora_B.weight - torch.Size([4864, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.17.mlp.up_proj.ori_model.weight - torch.Size([4864, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.17.mlp.down_proj.lora_A.weight - torch.Size([128, 4864]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.17.mlp.down_proj.lora_B.weight - torch.Size([896, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.17.mlp.down_proj.ori_model.weight - torch.Size([896, 4864]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.17.input_layernorm.weight - torch.Size([896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.17.post_attention_layernorm.weight - torch.Size([896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.18.self_attn.q_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.18.self_attn.q_proj.lora_B.weight - torch.Size([896, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.18.self_attn.q_proj.ori_model.weight - torch.Size([896, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.18.self_attn.q_proj.ori_model.bias - torch.Size([896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.18.self_attn.k_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.18.self_attn.k_proj.lora_B.weight - torch.Size([128, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.18.self_attn.k_proj.ori_model.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.18.self_attn.k_proj.ori_model.bias - torch.Size([128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.18.self_attn.v_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.18.self_attn.v_proj.lora_B.weight - torch.Size([128, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.18.self_attn.v_proj.ori_model.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.18.self_attn.v_proj.ori_model.bias - torch.Size([128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.18.self_attn.o_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.18.self_attn.o_proj.lora_B.weight - torch.Size([896, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.18.self_attn.o_proj.ori_model.weight - torch.Size([896, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.18.mlp.gate_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.18.mlp.gate_proj.lora_B.weight - torch.Size([4864, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.18.mlp.gate_proj.ori_model.weight - torch.Size([4864, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.18.mlp.up_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.18.mlp.up_proj.lora_B.weight - torch.Size([4864, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.18.mlp.up_proj.ori_model.weight - torch.Size([4864, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.18.mlp.down_proj.lora_A.weight - torch.Size([128, 4864]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.18.mlp.down_proj.lora_B.weight - torch.Size([896, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.18.mlp.down_proj.ori_model.weight - torch.Size([896, 4864]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.18.input_layernorm.weight - torch.Size([896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.18.post_attention_layernorm.weight - torch.Size([896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.19.self_attn.q_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.19.self_attn.q_proj.lora_B.weight - torch.Size([896, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.19.self_attn.q_proj.ori_model.weight - torch.Size([896, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.19.self_attn.q_proj.ori_model.bias - torch.Size([896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.19.self_attn.k_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.19.self_attn.k_proj.lora_B.weight - torch.Size([128, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.19.self_attn.k_proj.ori_model.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.19.self_attn.k_proj.ori_model.bias - torch.Size([128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.19.self_attn.v_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.19.self_attn.v_proj.lora_B.weight - torch.Size([128, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.19.self_attn.v_proj.ori_model.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.19.self_attn.v_proj.ori_model.bias - torch.Size([128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.19.self_attn.o_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.19.self_attn.o_proj.lora_B.weight - torch.Size([896, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.19.self_attn.o_proj.ori_model.weight - torch.Size([896, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.19.mlp.gate_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.19.mlp.gate_proj.lora_B.weight - torch.Size([4864, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.19.mlp.gate_proj.ori_model.weight - torch.Size([4864, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.19.mlp.up_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.19.mlp.up_proj.lora_B.weight - torch.Size([4864, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.19.mlp.up_proj.ori_model.weight - torch.Size([4864, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.19.mlp.down_proj.lora_A.weight - torch.Size([128, 4864]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.19.mlp.down_proj.lora_B.weight - torch.Size([896, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.19.mlp.down_proj.ori_model.weight - torch.Size([896, 4864]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.19.input_layernorm.weight - torch.Size([896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.19.post_attention_layernorm.weight - torch.Size([896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.20.self_attn.q_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.20.self_attn.q_proj.lora_B.weight - torch.Size([896, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.20.self_attn.q_proj.ori_model.weight - torch.Size([896, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.20.self_attn.q_proj.ori_model.bias - torch.Size([896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.20.self_attn.k_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.20.self_attn.k_proj.lora_B.weight - torch.Size([128, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.20.self_attn.k_proj.ori_model.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.20.self_attn.k_proj.ori_model.bias - torch.Size([128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.20.self_attn.v_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.20.self_attn.v_proj.lora_B.weight - torch.Size([128, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.20.self_attn.v_proj.ori_model.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.20.self_attn.v_proj.ori_model.bias - torch.Size([128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.20.self_attn.o_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.20.self_attn.o_proj.lora_B.weight - torch.Size([896, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.20.self_attn.o_proj.ori_model.weight - torch.Size([896, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.20.mlp.gate_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.20.mlp.gate_proj.lora_B.weight - torch.Size([4864, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.20.mlp.gate_proj.ori_model.weight - torch.Size([4864, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.20.mlp.up_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.20.mlp.up_proj.lora_B.weight - torch.Size([4864, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.20.mlp.up_proj.ori_model.weight - torch.Size([4864, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.20.mlp.down_proj.lora_A.weight - torch.Size([128, 4864]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.20.mlp.down_proj.lora_B.weight - torch.Size([896, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.20.mlp.down_proj.ori_model.weight - torch.Size([896, 4864]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.20.input_layernorm.weight - torch.Size([896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.20.post_attention_layernorm.weight - torch.Size([896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.20.down_proj.weight - torch.Size([256, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.20.down_proj.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.20.up_proj.weight - torch.Size([896, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.20.up_proj.bias - torch.Size([896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.20.corss_attn_norm.weight - torch.Size([896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.20.cross_attn.sampling_offsets.weight - torch.Size([256, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.20.cross_attn.sampling_offsets.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.20.cross_attn.attention_weights.weight - torch.Size([128, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.20.cross_attn.attention_weights.bias - torch.Size([128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.20.cross_attn.value_proj.weight - torch.Size([256, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.20.cross_attn.value_proj.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.20.cross_attn.output_proj.weight - torch.Size([256, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.20.cross_attn.output_proj.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.21.self_attn.q_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.21.self_attn.q_proj.lora_B.weight - torch.Size([896, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.21.self_attn.q_proj.ori_model.weight - torch.Size([896, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.21.self_attn.q_proj.ori_model.bias - torch.Size([896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.21.self_attn.k_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.21.self_attn.k_proj.lora_B.weight - torch.Size([128, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.21.self_attn.k_proj.ori_model.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.21.self_attn.k_proj.ori_model.bias - torch.Size([128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.21.self_attn.v_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.21.self_attn.v_proj.lora_B.weight - torch.Size([128, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.21.self_attn.v_proj.ori_model.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.21.self_attn.v_proj.ori_model.bias - torch.Size([128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.21.self_attn.o_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.21.self_attn.o_proj.lora_B.weight - torch.Size([896, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.21.self_attn.o_proj.ori_model.weight - torch.Size([896, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.21.mlp.gate_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.21.mlp.gate_proj.lora_B.weight - torch.Size([4864, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.21.mlp.gate_proj.ori_model.weight - torch.Size([4864, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.21.mlp.up_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.21.mlp.up_proj.lora_B.weight - torch.Size([4864, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.21.mlp.up_proj.ori_model.weight - torch.Size([4864, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.21.mlp.down_proj.lora_A.weight - torch.Size([128, 4864]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.21.mlp.down_proj.lora_B.weight - torch.Size([896, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.21.mlp.down_proj.ori_model.weight - torch.Size([896, 4864]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.21.input_layernorm.weight - torch.Size([896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.21.post_attention_layernorm.weight - torch.Size([896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.22.self_attn.q_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.22.self_attn.q_proj.lora_B.weight - torch.Size([896, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.22.self_attn.q_proj.ori_model.weight - torch.Size([896, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.22.self_attn.q_proj.ori_model.bias - torch.Size([896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.22.self_attn.k_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.22.self_attn.k_proj.lora_B.weight - torch.Size([128, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.22.self_attn.k_proj.ori_model.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.22.self_attn.k_proj.ori_model.bias - torch.Size([128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.22.self_attn.v_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.22.self_attn.v_proj.lora_B.weight - torch.Size([128, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.22.self_attn.v_proj.ori_model.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.22.self_attn.v_proj.ori_model.bias - torch.Size([128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.22.self_attn.o_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.22.self_attn.o_proj.lora_B.weight - torch.Size([896, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.22.self_attn.o_proj.ori_model.weight - torch.Size([896, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.22.mlp.gate_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.22.mlp.gate_proj.lora_B.weight - torch.Size([4864, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.22.mlp.gate_proj.ori_model.weight - torch.Size([4864, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.22.mlp.up_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.22.mlp.up_proj.lora_B.weight - torch.Size([4864, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.22.mlp.up_proj.ori_model.weight - torch.Size([4864, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.22.mlp.down_proj.lora_A.weight - torch.Size([128, 4864]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.22.mlp.down_proj.lora_B.weight - torch.Size([896, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.22.mlp.down_proj.ori_model.weight - torch.Size([896, 4864]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.22.input_layernorm.weight - torch.Size([896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.22.post_attention_layernorm.weight - torch.Size([896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.23.self_attn.q_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.23.self_attn.q_proj.lora_B.weight - torch.Size([896, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.23.self_attn.q_proj.ori_model.weight - torch.Size([896, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.23.self_attn.q_proj.ori_model.bias - torch.Size([896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.23.self_attn.k_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.23.self_attn.k_proj.lora_B.weight - torch.Size([128, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.23.self_attn.k_proj.ori_model.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.23.self_attn.k_proj.ori_model.bias - torch.Size([128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.23.self_attn.v_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.23.self_attn.v_proj.lora_B.weight - torch.Size([128, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.23.self_attn.v_proj.ori_model.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.23.self_attn.v_proj.ori_model.bias - torch.Size([128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.23.self_attn.o_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.23.self_attn.o_proj.lora_B.weight - torch.Size([896, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.23.self_attn.o_proj.ori_model.weight - torch.Size([896, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.23.mlp.gate_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.23.mlp.gate_proj.lora_B.weight - torch.Size([4864, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.23.mlp.gate_proj.ori_model.weight - torch.Size([4864, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.23.mlp.up_proj.lora_A.weight - torch.Size([128, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.23.mlp.up_proj.lora_B.weight - torch.Size([4864, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.23.mlp.up_proj.ori_model.weight - torch.Size([4864, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.23.mlp.down_proj.lora_A.weight - torch.Size([128, 4864]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.23.mlp.down_proj.lora_B.weight - torch.Size([896, 128]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.23.mlp.down_proj.ori_model.weight - torch.Size([896, 4864]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.23.input_layernorm.weight - torch.Size([896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.layers.23.post_attention_layernorm.weight - torch.Size([896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +lmm.model.norm.weight - torch.Size([896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +ref_point_head.layers.0.weight - torch.Size([256, 512]): +The value is the same before and after calling `init_weights` of GroundingDINO + +ref_point_head.layers.0.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +ref_point_head.layers.1.weight - torch.Size([256, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +ref_point_head.layers.1.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +connector.vision_projector.0.0.weight - torch.Size([896, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +connector.vision_projector.0.0.bias - torch.Size([896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +connector.vision_projector.0.2.weight - torch.Size([896, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +connector.vision_projector.0.2.bias - torch.Size([896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +connector.pos_proj.weight - torch.Size([896, 512]): +The value is the same before and after calling `init_weights` of GroundingDINO + +connector.pos_proj.bias - torch.Size([896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +region_connector.vision_projector.0.0.weight - torch.Size([896, 256]): +The value is the same before and after calling `init_weights` of GroundingDINO + +region_connector.vision_projector.0.0.bias - torch.Size([896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +region_connector.vision_projector.0.2.weight - torch.Size([896, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +region_connector.vision_projector.0.2.bias - torch.Size([896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +region_connector.pos_proj.weight - torch.Size([896, 512]): +The value is the same before and after calling `init_weights` of GroundingDINO + +region_connector.pos_proj.bias - torch.Size([896]): +The value is the same before and after calling `init_weights` of GroundingDINO + +image_seperate.weight - torch.Size([1, 896]): +The value is the same before and after calling `init_weights` of GroundingDINO +2024/11/07 03:26:57 - mmengine - INFO - Load checkpoint from ../huggingface/mm_grounding_dino/grounding_dino_swin-t_pretrain_obj365_goldg_grit9m_v3det_20231204_095047-b448804b.pth +2024/11/07 03:26:57 - mmengine - WARNING - "FileClient" will be deprecated in future. Please use io functions in https://mmengine.readthedocs.io/en/latest/api/fileio.html#file-io +2024/11/07 03:26:57 - mmengine - WARNING - "HardDiskBackend" is the alias of "LocalBackend" and the former will be deprecated in future. +2024/11/07 03:26:57 - mmengine - INFO - Checkpoints will be saved to /mnt/data/qize.yqz/code/VideoVLM/LMMDet/myllava/work_dirs/grounding_dino_swin_t_3. +2024/11/07 03:28:42 - mmengine - INFO - Iter(train) [ 100/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 1 day, 19:40:59 time: 1.0390 data_time: 0.0177 memory: 24393 grad_norm: 37.6561 loss: 13.5329 loss_cls: 0.4696 loss_bbox: 0.1508 loss_iou: 0.2587 d0.loss_cls: 0.4998 d0.loss_bbox: 0.1613 d0.loss_iou: 0.2769 d1.loss_cls: 0.4833 d1.loss_bbox: 0.1528 d1.loss_iou: 0.2623 d2.loss_cls: 0.4791 d2.loss_bbox: 0.1483 d2.loss_iou: 0.2576 d3.loss_cls: 0.4770 d3.loss_bbox: 0.1447 d3.loss_iou: 0.2549 d4.loss_cls: 0.4692 d4.loss_bbox: 0.1493 d4.loss_iou: 0.2576 enc_loss_cls: 0.4946 enc_loss_bbox: 0.1712 enc_loss_iou: 0.2970 dn_loss_cls: 0.3066 dn_loss_bbox: 0.2286 dn_loss_iou: 0.2483 d0.dn_loss_cls: 0.3448 d0.dn_loss_bbox: 0.4214 d0.dn_loss_iou: 0.4238 d1.dn_loss_cls: 0.3206 d1.dn_loss_bbox: 0.2702 d1.dn_loss_iou: 0.2901 d2.dn_loss_cls: 0.3055 d2.dn_loss_bbox: 0.2389 d2.dn_loss_iou: 0.2602 d3.dn_loss_cls: 0.3058 d3.dn_loss_bbox: 0.2307 d3.dn_loss_iou: 0.2507 d4.dn_loss_cls: 0.2980 d4.dn_loss_bbox: 0.2287 d4.dn_loss_iou: 0.2483 d1.loss_lmm_region: 0.6365 loss_lmm_image: 1.3593 +2024/11/07 03:30:24 - mmengine - INFO - Iter(train) [ 200/150000] base_lr: 2.0000e-05 lr: 2.0000e-05 eta: 1 day, 19:04:13 time: 1.0154 data_time: 0.0177 memory: 22501 grad_norm: 28.6133 loss: 12.3622 loss_cls: 0.4151 loss_bbox: 0.1609 loss_iou: 0.2577 d0.loss_cls: 0.4409 d0.loss_bbox: 0.1648 d0.loss_iou: 0.2688 d1.loss_cls: 0.4218 d1.loss_bbox: 0.1645 d1.loss_iou: 0.2653 d2.loss_cls: 0.4107 d2.loss_bbox: 0.1603 d2.loss_iou: 0.2605 d3.loss_cls: 0.4095 d3.loss_bbox: 0.1616 d3.loss_iou: 0.2588 d4.loss_cls: 0.4119 d4.loss_bbox: 0.1622 d4.loss_iou: 0.2600 enc_loss_cls: 0.4459 enc_loss_bbox: 0.1739 enc_loss_iou: 0.2850 dn_loss_cls: 0.2136 dn_loss_bbox: 0.2196 dn_loss_iou: 0.2454 d0.dn_loss_cls: 0.2840 d0.dn_loss_bbox: 0.3739 d0.dn_loss_iou: 0.4046 d1.dn_loss_cls: 0.2372 d1.dn_loss_bbox: 0.2526 d1.dn_loss_iou: 0.2837 d2.dn_loss_cls: 0.2214 d2.dn_loss_bbox: 0.2278 d2.dn_loss_iou: 0.2562 d3.dn_loss_cls: 0.2191 d3.dn_loss_bbox: 0.2203 d3.dn_loss_iou: 0.2471 d4.dn_loss_cls: 0.2150 d4.dn_loss_bbox: 0.2196 d4.dn_loss_iou: 0.2452 d1.loss_lmm_region: 0.5942 loss_lmm_image: 1.2220 +2024/11/07 03:32:07 - mmengine - INFO - Iter(train) [ 300/150000] base_lr: 3.0000e-05 lr: 3.0000e-05 eta: 1 day, 19:03:36 time: 1.0202 data_time: 0.0180 memory: 23420 grad_norm: 24.8732 loss: 13.1625 loss_cls: 0.4906 loss_bbox: 0.1564 loss_iou: 0.3026 d0.loss_cls: 0.5170 d0.loss_bbox: 0.1773 d0.loss_iou: 0.3278 d1.loss_cls: 0.4943 d1.loss_bbox: 0.1713 d1.loss_iou: 0.3164 d2.loss_cls: 0.4932 d2.loss_bbox: 0.1573 d2.loss_iou: 0.3053 d3.loss_cls: 0.4869 d3.loss_bbox: 0.1587 d3.loss_iou: 0.3017 d4.loss_cls: 0.4856 d4.loss_bbox: 0.1565 d4.loss_iou: 0.3028 enc_loss_cls: 0.5253 enc_loss_bbox: 0.1896 enc_loss_iou: 0.3417 dn_loss_cls: 0.1982 dn_loss_bbox: 0.2108 dn_loss_iou: 0.2514 d0.dn_loss_cls: 0.2665 d0.dn_loss_bbox: 0.3867 d0.dn_loss_iou: 0.4138 d1.dn_loss_cls: 0.2194 d1.dn_loss_bbox: 0.2589 d1.dn_loss_iou: 0.2932 d2.dn_loss_cls: 0.2072 d2.dn_loss_bbox: 0.2227 d2.dn_loss_iou: 0.2631 d3.dn_loss_cls: 0.2011 d3.dn_loss_bbox: 0.2117 d3.dn_loss_iou: 0.2527 d4.dn_loss_cls: 0.1971 d4.dn_loss_bbox: 0.2109 d4.dn_loss_iou: 0.2515 d1.loss_lmm_region: 0.5997 loss_lmm_image: 1.1875 +2024/11/07 03:33:49 - mmengine - INFO - Iter(train) [ 400/150000] base_lr: 4.0000e-05 lr: 4.0000e-05 eta: 1 day, 18:52:05 time: 1.0189 data_time: 0.0179 memory: 23691 grad_norm: 28.0305 loss: 12.0627 loss_cls: 0.3685 loss_bbox: 0.1484 loss_iou: 0.2837 d0.loss_cls: 0.4054 d0.loss_bbox: 0.1558 d0.loss_iou: 0.2941 d1.loss_cls: 0.3821 d1.loss_bbox: 0.1513 d1.loss_iou: 0.2895 d2.loss_cls: 0.3776 d2.loss_bbox: 0.1487 d2.loss_iou: 0.2833 d3.loss_cls: 0.3724 d3.loss_bbox: 0.1481 d3.loss_iou: 0.2823 d4.loss_cls: 0.3718 d4.loss_bbox: 0.1470 d4.loss_iou: 0.2825 enc_loss_cls: 0.4151 enc_loss_bbox: 0.1659 enc_loss_iou: 0.3108 dn_loss_cls: 0.1962 dn_loss_bbox: 0.2083 dn_loss_iou: 0.2544 d0.dn_loss_cls: 0.2832 d0.dn_loss_bbox: 0.3921 d0.dn_loss_iou: 0.4267 d1.dn_loss_cls: 0.2269 d1.dn_loss_bbox: 0.2488 d1.dn_loss_iou: 0.2960 d2.dn_loss_cls: 0.2131 d2.dn_loss_bbox: 0.2188 d2.dn_loss_iou: 0.2648 d3.dn_loss_cls: 0.2024 d3.dn_loss_bbox: 0.2098 d3.dn_loss_iou: 0.2567 d4.dn_loss_cls: 0.1973 d4.dn_loss_bbox: 0.2082 d4.dn_loss_iou: 0.2545 d1.loss_lmm_region: 0.5771 loss_lmm_image: 1.1431 +2024/11/07 03:35:32 - mmengine - INFO - Iter(train) [ 500/150000] base_lr: 5.0000e-05 lr: 5.0000e-05 eta: 1 day, 18:47:39 time: 1.0088 data_time: 0.0182 memory: 23849 grad_norm: 24.2397 loss: 12.4845 loss_cls: 0.3849 loss_bbox: 0.1826 loss_iou: 0.2938 d0.loss_cls: 0.4108 d0.loss_bbox: 0.2112 d0.loss_iou: 0.3192 d1.loss_cls: 0.3964 d1.loss_bbox: 0.1941 d1.loss_iou: 0.2991 d2.loss_cls: 0.3913 d2.loss_bbox: 0.1886 d2.loss_iou: 0.2975 d3.loss_cls: 0.3895 d3.loss_bbox: 0.1853 d3.loss_iou: 0.2935 d4.loss_cls: 0.3885 d4.loss_bbox: 0.1824 d4.loss_iou: 0.2944 enc_loss_cls: 0.4298 enc_loss_bbox: 0.2181 enc_loss_iou: 0.3304 dn_loss_cls: 0.1596 dn_loss_bbox: 0.2274 dn_loss_iou: 0.2651 d0.dn_loss_cls: 0.2502 d0.dn_loss_bbox: 0.3938 d0.dn_loss_iou: 0.4273 d1.dn_loss_cls: 0.1890 d1.dn_loss_bbox: 0.2661 d1.dn_loss_iou: 0.3040 d2.dn_loss_cls: 0.1734 d2.dn_loss_bbox: 0.2393 d2.dn_loss_iou: 0.2767 d3.dn_loss_cls: 0.1634 d3.dn_loss_bbox: 0.2292 d3.dn_loss_iou: 0.2672 d4.dn_loss_cls: 0.1601 d4.dn_loss_bbox: 0.2273 d4.dn_loss_iou: 0.2650 d1.loss_lmm_region: 0.5604 loss_lmm_image: 1.1588 +2024/11/07 03:37:15 - mmengine - INFO - Iter(train) [ 600/150000] base_lr: 6.0000e-05 lr: 6.0000e-05 eta: 1 day, 18:46:35 time: 1.0445 data_time: 0.0180 memory: 23314 grad_norm: 23.7189 loss: 12.7904 loss_cls: 0.4130 loss_bbox: 0.1804 loss_iou: 0.2857 d0.loss_cls: 0.4479 d0.loss_bbox: 0.1996 d0.loss_iou: 0.3052 d1.loss_cls: 0.4402 d1.loss_bbox: 0.1785 d1.loss_iou: 0.2882 d2.loss_cls: 0.4200 d2.loss_bbox: 0.1830 d2.loss_iou: 0.2840 d3.loss_cls: 0.4154 d3.loss_bbox: 0.1791 d3.loss_iou: 0.2835 d4.loss_cls: 0.4135 d4.loss_bbox: 0.1801 d4.loss_iou: 0.2861 enc_loss_cls: 0.4712 enc_loss_bbox: 0.2057 enc_loss_iou: 0.3223 dn_loss_cls: 0.1868 dn_loss_bbox: 0.2356 dn_loss_iou: 0.2607 d0.dn_loss_cls: 0.2698 d0.dn_loss_bbox: 0.4285 d0.dn_loss_iou: 0.4240 d1.dn_loss_cls: 0.2213 d1.dn_loss_bbox: 0.2764 d1.dn_loss_iou: 0.2971 d2.dn_loss_cls: 0.2059 d2.dn_loss_bbox: 0.2477 d2.dn_loss_iou: 0.2711 d3.dn_loss_cls: 0.1928 d3.dn_loss_bbox: 0.2366 d3.dn_loss_iou: 0.2622 d4.dn_loss_cls: 0.1892 d4.dn_loss_bbox: 0.2354 d4.dn_loss_iou: 0.2606 d1.loss_lmm_region: 0.5872 loss_lmm_image: 1.1191 +2024/11/07 03:38:58 - mmengine - INFO - Iter(train) [ 700/150000] base_lr: 7.0000e-05 lr: 7.0000e-05 eta: 1 day, 18:43:40 time: 1.0194 data_time: 0.0179 memory: 23034 grad_norm: 23.4471 loss: 11.4225 loss_cls: 0.3332 loss_bbox: 0.1582 loss_iou: 0.2491 d0.loss_cls: 0.3527 d0.loss_bbox: 0.1782 d0.loss_iou: 0.2651 d1.loss_cls: 0.3358 d1.loss_bbox: 0.1676 d1.loss_iou: 0.2566 d2.loss_cls: 0.3327 d2.loss_bbox: 0.1625 d2.loss_iou: 0.2501 d3.loss_cls: 0.3340 d3.loss_bbox: 0.1596 d3.loss_iou: 0.2497 d4.loss_cls: 0.3323 d4.loss_bbox: 0.1604 d4.loss_iou: 0.2500 enc_loss_cls: 0.3703 enc_loss_bbox: 0.1896 enc_loss_iou: 0.2822 dn_loss_cls: 0.1576 dn_loss_bbox: 0.2253 dn_loss_iou: 0.2531 d0.dn_loss_cls: 0.2386 d0.dn_loss_bbox: 0.4033 d0.dn_loss_iou: 0.4185 d1.dn_loss_cls: 0.1815 d1.dn_loss_bbox: 0.2620 d1.dn_loss_iou: 0.2906 d2.dn_loss_cls: 0.1672 d2.dn_loss_bbox: 0.2326 d2.dn_loss_iou: 0.2623 d3.dn_loss_cls: 0.1605 d3.dn_loss_bbox: 0.2259 d3.dn_loss_iou: 0.2546 d4.dn_loss_cls: 0.1584 d4.dn_loss_bbox: 0.2254 d4.dn_loss_iou: 0.2531 d1.loss_lmm_region: 0.5392 loss_lmm_image: 1.1429 +2024/11/07 03:40:42 - mmengine - INFO - Iter(train) [ 800/150000] base_lr: 8.0000e-05 lr: 8.0000e-05 eta: 1 day, 18:44:33 time: 1.0389 data_time: 0.0180 memory: 23308 grad_norm: inf loss: 11.0340 loss_cls: 0.3651 loss_bbox: 0.1263 loss_iou: 0.2286 d0.loss_cls: 0.3921 d0.loss_bbox: 0.1429 d0.loss_iou: 0.2453 d1.loss_cls: 0.3776 d1.loss_bbox: 0.1357 d1.loss_iou: 0.2371 d2.loss_cls: 0.3748 d2.loss_bbox: 0.1271 d2.loss_iou: 0.2287 d3.loss_cls: 0.3661 d3.loss_bbox: 0.1285 d3.loss_iou: 0.2300 d4.loss_cls: 0.3644 d4.loss_bbox: 0.1271 d4.loss_iou: 0.2298 enc_loss_cls: 0.4102 enc_loss_bbox: 0.1521 enc_loss_iou: 0.2635 dn_loss_cls: 0.1733 dn_loss_bbox: 0.1897 dn_loss_iou: 0.2261 d0.dn_loss_cls: 0.2597 d0.dn_loss_bbox: 0.3541 d0.dn_loss_iou: 0.3840 d1.dn_loss_cls: 0.2066 d1.dn_loss_bbox: 0.2319 d1.dn_loss_iou: 0.2661 d2.dn_loss_cls: 0.1897 d2.dn_loss_bbox: 0.1964 d2.dn_loss_iou: 0.2354 d3.dn_loss_cls: 0.1815 d3.dn_loss_bbox: 0.1900 d3.dn_loss_iou: 0.2271 d4.dn_loss_cls: 0.1769 d4.dn_loss_bbox: 0.1899 d4.dn_loss_iou: 0.2260 d1.loss_lmm_region: 0.5499 loss_lmm_image: 1.1266 +2024/11/07 03:42:23 - mmengine - INFO - Iter(train) [ 900/150000] base_lr: 9.0000e-05 lr: 9.0000e-05 eta: 1 day, 18:38:33 time: 1.0117 data_time: 0.0179 memory: 22880 grad_norm: 24.3123 loss: 10.1682 loss_cls: 0.2926 loss_bbox: 0.1211 loss_iou: 0.2338 d0.loss_cls: 0.3191 d0.loss_bbox: 0.1330 d0.loss_iou: 0.2533 d1.loss_cls: 0.3007 d1.loss_bbox: 0.1284 d1.loss_iou: 0.2447 d2.loss_cls: 0.2987 d2.loss_bbox: 0.1218 d2.loss_iou: 0.2345 d3.loss_cls: 0.2948 d3.loss_bbox: 0.1213 d3.loss_iou: 0.2356 d4.loss_cls: 0.2920 d4.loss_bbox: 0.1217 d4.loss_iou: 0.2345 enc_loss_cls: 0.3358 enc_loss_bbox: 0.1452 enc_loss_iou: 0.2742 dn_loss_cls: 0.1485 dn_loss_bbox: 0.1618 dn_loss_iou: 0.2144 d0.dn_loss_cls: 0.2411 d0.dn_loss_bbox: 0.3402 d0.dn_loss_iou: 0.3712 d1.dn_loss_cls: 0.1768 d1.dn_loss_bbox: 0.2020 d1.dn_loss_iou: 0.2514 d2.dn_loss_cls: 0.1609 d2.dn_loss_bbox: 0.1742 d2.dn_loss_iou: 0.2247 d3.dn_loss_cls: 0.1547 d3.dn_loss_bbox: 0.1639 d3.dn_loss_iou: 0.2162 d4.dn_loss_cls: 0.1508 d4.dn_loss_bbox: 0.1619 d4.dn_loss_iou: 0.2143 d1.loss_lmm_region: 0.5504 loss_lmm_image: 1.1521 +2024/11/07 03:44:08 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/07 03:44:08 - mmengine - INFO - Iter(train) [ 1000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 18:39:38 time: 1.0243 data_time: 0.0181 memory: 23318 grad_norm: 24.0372 loss: 11.4497 loss_cls: 0.3610 loss_bbox: 0.1608 loss_iou: 0.2587 d0.loss_cls: 0.3921 d0.loss_bbox: 0.1708 d0.loss_iou: 0.2699 d1.loss_cls: 0.3713 d1.loss_bbox: 0.1669 d1.loss_iou: 0.2641 d2.loss_cls: 0.3682 d2.loss_bbox: 0.1633 d2.loss_iou: 0.2599 d3.loss_cls: 0.3670 d3.loss_bbox: 0.1598 d3.loss_iou: 0.2580 d4.loss_cls: 0.3605 d4.loss_bbox: 0.1621 d4.loss_iou: 0.2604 enc_loss_cls: 0.4027 enc_loss_bbox: 0.1853 enc_loss_iou: 0.2928 dn_loss_cls: 0.1515 dn_loss_bbox: 0.2129 dn_loss_iou: 0.2413 d0.dn_loss_cls: 0.2310 d0.dn_loss_bbox: 0.3866 d0.dn_loss_iou: 0.4029 d1.dn_loss_cls: 0.1804 d1.dn_loss_bbox: 0.2511 d1.dn_loss_iou: 0.2786 d2.dn_loss_cls: 0.1649 d2.dn_loss_bbox: 0.2202 d2.dn_loss_iou: 0.2508 d3.dn_loss_cls: 0.1562 d3.dn_loss_bbox: 0.2139 d3.dn_loss_iou: 0.2430 d4.dn_loss_cls: 0.1523 d4.dn_loss_bbox: 0.2128 d4.dn_loss_iou: 0.2412 d1.loss_lmm_region: 0.5008 loss_lmm_image: 1.1018 +2024/11/07 03:45:50 - mmengine - INFO - Iter(train) [ 1100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 18:37:38 time: 1.0288 data_time: 0.0167 memory: 23587 grad_norm: 24.2418 loss: 11.4048 loss_cls: 0.3538 loss_bbox: 0.1536 loss_iou: 0.2886 d0.loss_cls: 0.3861 d0.loss_bbox: 0.1742 d0.loss_iou: 0.3074 d1.loss_cls: 0.3706 d1.loss_bbox: 0.1631 d1.loss_iou: 0.2990 d2.loss_cls: 0.3607 d2.loss_bbox: 0.1566 d2.loss_iou: 0.2919 d3.loss_cls: 0.3546 d3.loss_bbox: 0.1569 d3.loss_iou: 0.2890 d4.loss_cls: 0.3559 d4.loss_bbox: 0.1531 d4.loss_iou: 0.2887 enc_loss_cls: 0.4020 enc_loss_bbox: 0.1828 enc_loss_iou: 0.3288 dn_loss_cls: 0.1209 dn_loss_bbox: 0.1931 dn_loss_iou: 0.2567 d0.dn_loss_cls: 0.2131 d0.dn_loss_bbox: 0.3498 d0.dn_loss_iou: 0.4161 d1.dn_loss_cls: 0.1547 d1.dn_loss_bbox: 0.2294 d1.dn_loss_iou: 0.2940 d2.dn_loss_cls: 0.1355 d2.dn_loss_bbox: 0.1999 d2.dn_loss_iou: 0.2659 d3.dn_loss_cls: 0.1249 d3.dn_loss_bbox: 0.1940 d3.dn_loss_iou: 0.2577 d4.dn_loss_cls: 0.1220 d4.dn_loss_bbox: 0.1932 d4.dn_loss_iou: 0.2566 d1.loss_lmm_region: 0.5026 loss_lmm_image: 1.1070 +2024/11/07 03:47:33 - mmengine - INFO - Iter(train) [ 1200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 18:34:44 time: 1.0178 data_time: 0.0167 memory: 23039 grad_norm: 23.4559 loss: 10.8675 loss_cls: 0.3569 loss_bbox: 0.1409 loss_iou: 0.2630 d0.loss_cls: 0.3902 d0.loss_bbox: 0.1583 d0.loss_iou: 0.2847 d1.loss_cls: 0.3738 d1.loss_bbox: 0.1489 d1.loss_iou: 0.2689 d2.loss_cls: 0.3674 d2.loss_bbox: 0.1437 d2.loss_iou: 0.2660 d3.loss_cls: 0.3612 d3.loss_bbox: 0.1410 d3.loss_iou: 0.2639 d4.loss_cls: 0.3563 d4.loss_bbox: 0.1422 d4.loss_iou: 0.2643 enc_loss_cls: 0.3992 enc_loss_bbox: 0.1734 enc_loss_iou: 0.3083 dn_loss_cls: 0.1250 dn_loss_bbox: 0.1806 dn_loss_iou: 0.2248 d0.dn_loss_cls: 0.2101 d0.dn_loss_bbox: 0.3336 d0.dn_loss_iou: 0.3785 d1.dn_loss_cls: 0.1611 d1.dn_loss_bbox: 0.2142 d1.dn_loss_iou: 0.2590 d2.dn_loss_cls: 0.1431 d2.dn_loss_bbox: 0.1893 d2.dn_loss_iou: 0.2332 d3.dn_loss_cls: 0.1329 d3.dn_loss_bbox: 0.1812 d3.dn_loss_iou: 0.2256 d4.dn_loss_cls: 0.1273 d4.dn_loss_bbox: 0.1806 d4.dn_loss_iou: 0.2247 d1.loss_lmm_region: 0.4476 loss_lmm_image: 1.1225 +2024/11/07 03:49:16 - mmengine - INFO - Iter(train) [ 1300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 18:32:30 time: 1.0543 data_time: 0.0166 memory: 23745 grad_norm: 24.1430 loss: 10.5290 loss_cls: 0.3337 loss_bbox: 0.1233 loss_iou: 0.2231 d0.loss_cls: 0.3754 d0.loss_bbox: 0.1427 d0.loss_iou: 0.2460 d1.loss_cls: 0.3621 d1.loss_bbox: 0.1253 d1.loss_iou: 0.2289 d2.loss_cls: 0.3478 d2.loss_bbox: 0.1229 d2.loss_iou: 0.2245 d3.loss_cls: 0.3382 d3.loss_bbox: 0.1249 d3.loss_iou: 0.2256 d4.loss_cls: 0.3373 d4.loss_bbox: 0.1228 d4.loss_iou: 0.2228 enc_loss_cls: 0.3953 enc_loss_bbox: 0.1609 enc_loss_iou: 0.2709 dn_loss_cls: 0.1269 dn_loss_bbox: 0.1890 dn_loss_iou: 0.2246 d0.dn_loss_cls: 0.2272 d0.dn_loss_bbox: 0.3645 d0.dn_loss_iou: 0.3894 d1.dn_loss_cls: 0.1743 d1.dn_loss_bbox: 0.2271 d1.dn_loss_iou: 0.2619 d2.dn_loss_cls: 0.1516 d2.dn_loss_bbox: 0.1993 d2.dn_loss_iou: 0.2352 d3.dn_loss_cls: 0.1373 d3.dn_loss_bbox: 0.1906 d3.dn_loss_iou: 0.2266 d4.dn_loss_cls: 0.1326 d4.dn_loss_bbox: 0.1891 d4.dn_loss_iou: 0.2247 d1.loss_lmm_region: 0.4354 loss_lmm_image: 1.1675 +2024/11/07 03:50:57 - mmengine - INFO - Iter(train) [ 1400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 18:28:18 time: 1.0200 data_time: 0.0166 memory: 23609 grad_norm: 23.9325 loss: 10.3374 loss_cls: 0.3651 loss_bbox: 0.1265 loss_iou: 0.2236 d0.loss_cls: 0.3970 d0.loss_bbox: 0.1421 d0.loss_iou: 0.2465 d1.loss_cls: 0.3814 d1.loss_bbox: 0.1307 d1.loss_iou: 0.2311 d2.loss_cls: 0.3762 d2.loss_bbox: 0.1257 d2.loss_iou: 0.2249 d3.loss_cls: 0.3681 d3.loss_bbox: 0.1275 d3.loss_iou: 0.2248 d4.loss_cls: 0.3678 d4.loss_bbox: 0.1264 d4.loss_iou: 0.2250 enc_loss_cls: 0.4023 enc_loss_bbox: 0.1605 enc_loss_iou: 0.2739 dn_loss_cls: 0.1579 dn_loss_bbox: 0.1508 dn_loss_iou: 0.2008 d0.dn_loss_cls: 0.2390 d0.dn_loss_bbox: 0.3083 d0.dn_loss_iou: 0.3518 d1.dn_loss_cls: 0.1914 d1.dn_loss_bbox: 0.1926 d1.dn_loss_iou: 0.2376 d2.dn_loss_cls: 0.1775 d2.dn_loss_bbox: 0.1617 d2.dn_loss_iou: 0.2099 d3.dn_loss_cls: 0.1684 d3.dn_loss_bbox: 0.1520 d3.dn_loss_iou: 0.2023 d4.dn_loss_cls: 0.1622 d4.dn_loss_bbox: 0.1507 d4.dn_loss_iou: 0.2009 d1.loss_lmm_region: 0.3919 loss_lmm_image: 1.0826 +2024/11/07 03:52:41 - mmengine - INFO - Iter(train) [ 1500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 18:27:38 time: 1.0328 data_time: 0.0166 memory: 23890 grad_norm: 24.0634 loss: 11.2535 loss_cls: 0.3643 loss_bbox: 0.1527 loss_iou: 0.2847 d0.loss_cls: 0.4041 d0.loss_bbox: 0.1689 d0.loss_iou: 0.2997 d1.loss_cls: 0.3824 d1.loss_bbox: 0.1581 d1.loss_iou: 0.2901 d2.loss_cls: 0.3709 d2.loss_bbox: 0.1542 d2.loss_iou: 0.2882 d3.loss_cls: 0.3661 d3.loss_bbox: 0.1545 d3.loss_iou: 0.2856 d4.loss_cls: 0.3635 d4.loss_bbox: 0.1539 d4.loss_iou: 0.2859 enc_loss_cls: 0.4181 enc_loss_bbox: 0.1801 enc_loss_iou: 0.3268 dn_loss_cls: 0.1308 dn_loss_bbox: 0.1908 dn_loss_iou: 0.2511 d0.dn_loss_cls: 0.2145 d0.dn_loss_bbox: 0.3449 d0.dn_loss_iou: 0.4084 d1.dn_loss_cls: 0.1603 d1.dn_loss_bbox: 0.2225 d1.dn_loss_iou: 0.2863 d2.dn_loss_cls: 0.1448 d2.dn_loss_bbox: 0.1989 d2.dn_loss_iou: 0.2603 d3.dn_loss_cls: 0.1356 d3.dn_loss_bbox: 0.1916 d3.dn_loss_iou: 0.2527 d4.dn_loss_cls: 0.1333 d4.dn_loss_bbox: 0.1908 d4.dn_loss_iou: 0.2511 d1.loss_lmm_region: 0.3678 loss_lmm_image: 1.0639 +2024/11/07 03:54:23 - mmengine - INFO - Iter(train) [ 1600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 18:24:26 time: 1.0191 data_time: 0.0170 memory: 26030 grad_norm: 27.0538 loss: 9.2619 loss_cls: 0.3027 loss_bbox: 0.1006 loss_iou: 0.2030 d0.loss_cls: 0.3217 d0.loss_bbox: 0.1162 d0.loss_iou: 0.2198 d1.loss_cls: 0.3128 d1.loss_bbox: 0.1056 d1.loss_iou: 0.2083 d2.loss_cls: 0.3093 d2.loss_bbox: 0.1016 d2.loss_iou: 0.2033 d3.loss_cls: 0.3038 d3.loss_bbox: 0.1015 d3.loss_iou: 0.2028 d4.loss_cls: 0.3033 d4.loss_bbox: 0.1001 d4.loss_iou: 0.2028 enc_loss_cls: 0.3360 enc_loss_bbox: 0.1268 enc_loss_iou: 0.2440 dn_loss_cls: 0.1122 dn_loss_bbox: 0.1516 dn_loss_iou: 0.2091 d0.dn_loss_cls: 0.1961 d0.dn_loss_bbox: 0.3077 d0.dn_loss_iou: 0.3664 d1.dn_loss_cls: 0.1419 d1.dn_loss_bbox: 0.1882 d1.dn_loss_iou: 0.2476 d2.dn_loss_cls: 0.1245 d2.dn_loss_bbox: 0.1599 d2.dn_loss_iou: 0.2191 d3.dn_loss_cls: 0.1161 d3.dn_loss_bbox: 0.1524 d3.dn_loss_iou: 0.2105 d4.dn_loss_cls: 0.1147 d4.dn_loss_bbox: 0.1515 d4.dn_loss_iou: 0.2089 d1.loss_lmm_region: 0.3664 loss_lmm_image: 1.0907 +2024/11/07 03:56:06 - mmengine - INFO - Iter(train) [ 1700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 18:22:53 time: 1.0049 data_time: 0.0168 memory: 23883 grad_norm: 27.8807 loss: 10.3293 loss_cls: 0.3101 loss_bbox: 0.1337 loss_iou: 0.2468 d0.loss_cls: 0.3348 d0.loss_bbox: 0.1571 d0.loss_iou: 0.2695 d1.loss_cls: 0.3262 d1.loss_bbox: 0.1397 d1.loss_iou: 0.2533 d2.loss_cls: 0.3200 d2.loss_bbox: 0.1356 d2.loss_iou: 0.2502 d3.loss_cls: 0.3158 d3.loss_bbox: 0.1333 d3.loss_iou: 0.2484 d4.loss_cls: 0.3125 d4.loss_bbox: 0.1329 d4.loss_iou: 0.2460 enc_loss_cls: 0.3478 enc_loss_bbox: 0.1661 enc_loss_iou: 0.2886 dn_loss_cls: 0.1326 dn_loss_bbox: 0.1904 dn_loss_iou: 0.2273 d0.dn_loss_cls: 0.2114 d0.dn_loss_bbox: 0.3518 d0.dn_loss_iou: 0.3795 d1.dn_loss_cls: 0.1617 d1.dn_loss_bbox: 0.2273 d1.dn_loss_iou: 0.2614 d2.dn_loss_cls: 0.1463 d2.dn_loss_bbox: 0.2000 d2.dn_loss_iou: 0.2353 d3.dn_loss_cls: 0.1365 d3.dn_loss_bbox: 0.1915 d3.dn_loss_iou: 0.2287 d4.dn_loss_cls: 0.1330 d4.dn_loss_bbox: 0.1904 d4.dn_loss_iou: 0.2271 d1.loss_lmm_region: 0.3437 loss_lmm_image: 1.0850 +2024/11/07 03:57:49 - mmengine - INFO - Iter(train) [ 1800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 18:21:02 time: 1.0302 data_time: 0.0168 memory: 23185 grad_norm: 23.4512 loss: 11.9719 loss_cls: 0.4154 loss_bbox: 0.1661 loss_iou: 0.2942 d0.loss_cls: 0.4587 d0.loss_bbox: 0.1795 d0.loss_iou: 0.3099 d1.loss_cls: 0.4339 d1.loss_bbox: 0.1648 d1.loss_iou: 0.2956 d2.loss_cls: 0.4270 d2.loss_bbox: 0.1615 d2.loss_iou: 0.2916 d3.loss_cls: 0.4255 d3.loss_bbox: 0.1607 d3.loss_iou: 0.2915 d4.loss_cls: 0.4160 d4.loss_bbox: 0.1636 d4.loss_iou: 0.2937 enc_loss_cls: 0.4646 enc_loss_bbox: 0.2043 enc_loss_iou: 0.3410 dn_loss_cls: 0.1620 dn_loss_bbox: 0.2027 dn_loss_iou: 0.2360 d0.dn_loss_cls: 0.2390 d0.dn_loss_bbox: 0.3701 d0.dn_loss_iou: 0.3969 d1.dn_loss_cls: 0.1881 d1.dn_loss_bbox: 0.2381 d1.dn_loss_iou: 0.2741 d2.dn_loss_cls: 0.1724 d2.dn_loss_bbox: 0.2137 d2.dn_loss_iou: 0.2473 d3.dn_loss_cls: 0.1646 d3.dn_loss_bbox: 0.2049 d3.dn_loss_iou: 0.2380 d4.dn_loss_cls: 0.1623 d4.dn_loss_bbox: 0.2028 d4.dn_loss_iou: 0.2359 d1.loss_lmm_region: 0.3703 loss_lmm_image: 1.0936 +2024/11/07 03:59:30 - mmengine - INFO - Iter(train) [ 1900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 18:17:47 time: 1.0120 data_time: 0.0166 memory: 23021 grad_norm: 23.3363 loss: 10.8660 loss_cls: 0.3514 loss_bbox: 0.1439 loss_iou: 0.2621 d0.loss_cls: 0.3853 d0.loss_bbox: 0.1628 d0.loss_iou: 0.2847 d1.loss_cls: 0.3644 d1.loss_bbox: 0.1535 d1.loss_iou: 0.2782 d2.loss_cls: 0.3617 d2.loss_bbox: 0.1459 d2.loss_iou: 0.2652 d3.loss_cls: 0.3591 d3.loss_bbox: 0.1434 d3.loss_iou: 0.2621 d4.loss_cls: 0.3551 d4.loss_bbox: 0.1434 d4.loss_iou: 0.2605 enc_loss_cls: 0.3966 enc_loss_bbox: 0.1732 enc_loss_iou: 0.3070 dn_loss_cls: 0.1361 dn_loss_bbox: 0.1856 dn_loss_iou: 0.2370 d0.dn_loss_cls: 0.2194 d0.dn_loss_bbox: 0.3489 d0.dn_loss_iou: 0.3958 d1.dn_loss_cls: 0.1642 d1.dn_loss_bbox: 0.2206 d1.dn_loss_iou: 0.2747 d2.dn_loss_cls: 0.1471 d2.dn_loss_bbox: 0.1922 d2.dn_loss_iou: 0.2463 d3.dn_loss_cls: 0.1390 d3.dn_loss_bbox: 0.1859 d3.dn_loss_iou: 0.2381 d4.dn_loss_cls: 0.1356 d4.dn_loss_bbox: 0.1856 d4.dn_loss_iou: 0.2368 d1.loss_lmm_region: 0.3441 loss_lmm_image: 1.0736 +2024/11/07 04:01:13 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/07 04:01:13 - mmengine - INFO - Iter(train) [ 2000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 18:16:11 time: 1.0451 data_time: 0.0168 memory: 23609 grad_norm: 23.6144 loss: 10.9875 loss_cls: 0.3442 loss_bbox: 0.1500 loss_iou: 0.2894 d0.loss_cls: 0.3893 d0.loss_bbox: 0.1566 d0.loss_iou: 0.3048 d1.loss_cls: 0.3734 d1.loss_bbox: 0.1523 d1.loss_iou: 0.2906 d2.loss_cls: 0.3642 d2.loss_bbox: 0.1507 d2.loss_iou: 0.2878 d3.loss_cls: 0.3581 d3.loss_bbox: 0.1500 d3.loss_iou: 0.2891 d4.loss_cls: 0.3489 d4.loss_bbox: 0.1515 d4.loss_iou: 0.2886 enc_loss_cls: 0.3970 enc_loss_bbox: 0.1724 enc_loss_iou: 0.3270 dn_loss_cls: 0.1356 dn_loss_bbox: 0.1544 dn_loss_iou: 0.2414 d0.dn_loss_cls: 0.2350 d0.dn_loss_bbox: 0.3266 d0.dn_loss_iou: 0.4112 d1.dn_loss_cls: 0.1752 d1.dn_loss_bbox: 0.1954 d1.dn_loss_iou: 0.2816 d2.dn_loss_cls: 0.1567 d2.dn_loss_bbox: 0.1660 d2.dn_loss_iou: 0.2516 d3.dn_loss_cls: 0.1440 d3.dn_loss_bbox: 0.1552 d3.dn_loss_iou: 0.2427 d4.dn_loss_cls: 0.1403 d4.dn_loss_bbox: 0.1542 d4.dn_loss_iou: 0.2413 d1.loss_lmm_region: 0.3414 loss_lmm_image: 1.1017 +2024/11/07 04:02:54 - mmengine - INFO - Iter(train) [ 2100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 18:12:25 time: 1.0008 data_time: 0.0167 memory: 23474 grad_norm: 23.4088 loss: 11.1365 loss_cls: 0.3640 loss_bbox: 0.1540 loss_iou: 0.2894 d0.loss_cls: 0.4066 d0.loss_bbox: 0.1674 d0.loss_iou: 0.3131 d1.loss_cls: 0.3800 d1.loss_bbox: 0.1575 d1.loss_iou: 0.3004 d2.loss_cls: 0.3718 d2.loss_bbox: 0.1567 d2.loss_iou: 0.2948 d3.loss_cls: 0.3683 d3.loss_bbox: 0.1556 d3.loss_iou: 0.2901 d4.loss_cls: 0.3662 d4.loss_bbox: 0.1545 d4.loss_iou: 0.2888 enc_loss_cls: 0.4179 enc_loss_bbox: 0.1789 enc_loss_iou: 0.3350 dn_loss_cls: 0.1404 dn_loss_bbox: 0.1611 dn_loss_iou: 0.2338 d0.dn_loss_cls: 0.2310 d0.dn_loss_bbox: 0.3215 d0.dn_loss_iou: 0.4005 d1.dn_loss_cls: 0.1761 d1.dn_loss_bbox: 0.1958 d1.dn_loss_iou: 0.2725 d2.dn_loss_cls: 0.1583 d2.dn_loss_bbox: 0.1693 d2.dn_loss_iou: 0.2446 d3.dn_loss_cls: 0.1459 d3.dn_loss_bbox: 0.1618 d3.dn_loss_iou: 0.2348 d4.dn_loss_cls: 0.1431 d4.dn_loss_bbox: 0.1611 d4.dn_loss_iou: 0.2337 d1.loss_lmm_region: 0.3544 loss_lmm_image: 1.0860 +2024/11/07 04:04:37 - mmengine - INFO - Iter(train) [ 2200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 18:10:53 time: 1.0246 data_time: 0.0168 memory: 23181 grad_norm: 24.8874 loss: 11.0301 loss_cls: 0.3724 loss_bbox: 0.1532 loss_iou: 0.3000 d0.loss_cls: 0.4090 d0.loss_bbox: 0.1713 d0.loss_iou: 0.3190 d1.loss_cls: 0.3871 d1.loss_bbox: 0.1570 d1.loss_iou: 0.3081 d2.loss_cls: 0.3803 d2.loss_bbox: 0.1607 d2.loss_iou: 0.3014 d3.loss_cls: 0.3715 d3.loss_bbox: 0.1583 d3.loss_iou: 0.3027 d4.loss_cls: 0.3716 d4.loss_bbox: 0.1559 d4.loss_iou: 0.3017 enc_loss_cls: 0.4299 enc_loss_bbox: 0.1821 enc_loss_iou: 0.3392 dn_loss_cls: 0.1249 dn_loss_bbox: 0.1587 dn_loss_iou: 0.2271 d0.dn_loss_cls: 0.2122 d0.dn_loss_bbox: 0.3060 d0.dn_loss_iou: 0.3842 d1.dn_loss_cls: 0.1572 d1.dn_loss_bbox: 0.1925 d1.dn_loss_iou: 0.2626 d2.dn_loss_cls: 0.1407 d2.dn_loss_bbox: 0.1695 d2.dn_loss_iou: 0.2375 d3.dn_loss_cls: 0.1310 d3.dn_loss_bbox: 0.1592 d3.dn_loss_iou: 0.2286 d4.dn_loss_cls: 0.1266 d4.dn_loss_bbox: 0.1588 d4.dn_loss_iou: 0.2271 d1.loss_lmm_region: 0.3216 loss_lmm_image: 1.0718 +2024/11/07 04:06:18 - mmengine - INFO - Iter(train) [ 2300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 18:07:01 time: 1.0033 data_time: 0.0168 memory: 23527 grad_norm: 27.7282 loss: 10.3789 loss_cls: 0.3184 loss_bbox: 0.1431 loss_iou: 0.2474 d0.loss_cls: 0.3646 d0.loss_bbox: 0.1542 d0.loss_iou: 0.2620 d1.loss_cls: 0.3382 d1.loss_bbox: 0.1498 d1.loss_iou: 0.2557 d2.loss_cls: 0.3304 d2.loss_bbox: 0.1436 d2.loss_iou: 0.2497 d3.loss_cls: 0.3247 d3.loss_bbox: 0.1428 d3.loss_iou: 0.2481 d4.loss_cls: 0.3218 d4.loss_bbox: 0.1420 d4.loss_iou: 0.2472 enc_loss_cls: 0.3685 enc_loss_bbox: 0.1709 enc_loss_iou: 0.2866 dn_loss_cls: 0.1409 dn_loss_bbox: 0.1756 dn_loss_iou: 0.2240 d0.dn_loss_cls: 0.2337 d0.dn_loss_bbox: 0.3300 d0.dn_loss_iou: 0.3768 d1.dn_loss_cls: 0.1801 d1.dn_loss_bbox: 0.2136 d1.dn_loss_iou: 0.2594 d2.dn_loss_cls: 0.1638 d2.dn_loss_bbox: 0.1874 d2.dn_loss_iou: 0.2331 d3.dn_loss_cls: 0.1515 d3.dn_loss_bbox: 0.1762 d3.dn_loss_iou: 0.2249 d4.dn_loss_cls: 0.1449 d4.dn_loss_bbox: 0.1756 d4.dn_loss_iou: 0.2239 d1.loss_lmm_region: 0.3270 loss_lmm_image: 1.0265 +2024/11/07 04:08:01 - mmengine - INFO - Iter(train) [ 2400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 18:05:26 time: 1.0138 data_time: 0.0168 memory: 23216 grad_norm: 21.6414 loss: 10.8788 loss_cls: 0.3574 loss_bbox: 0.1401 loss_iou: 0.2882 d0.loss_cls: 0.3939 d0.loss_bbox: 0.1488 d0.loss_iou: 0.3022 d1.loss_cls: 0.3769 d1.loss_bbox: 0.1414 d1.loss_iou: 0.2939 d2.loss_cls: 0.3690 d2.loss_bbox: 0.1397 d2.loss_iou: 0.2854 d3.loss_cls: 0.3636 d3.loss_bbox: 0.1399 d3.loss_iou: 0.2878 d4.loss_cls: 0.3601 d4.loss_bbox: 0.1377 d4.loss_iou: 0.2872 enc_loss_cls: 0.4049 enc_loss_bbox: 0.1642 enc_loss_iou: 0.3285 dn_loss_cls: 0.1304 dn_loss_bbox: 0.1727 dn_loss_iou: 0.2416 d0.dn_loss_cls: 0.2109 d0.dn_loss_bbox: 0.3102 d0.dn_loss_iou: 0.3872 d1.dn_loss_cls: 0.1628 d1.dn_loss_bbox: 0.2061 d1.dn_loss_iou: 0.2762 d2.dn_loss_cls: 0.1469 d2.dn_loss_bbox: 0.1821 d2.dn_loss_iou: 0.2504 d3.dn_loss_cls: 0.1364 d3.dn_loss_bbox: 0.1750 d3.dn_loss_iou: 0.2436 d4.dn_loss_cls: 0.1310 d4.dn_loss_bbox: 0.1727 d4.dn_loss_iou: 0.2415 d1.loss_lmm_region: 0.3365 loss_lmm_image: 1.0541 +2024/11/07 04:09:43 - mmengine - INFO - Iter(train) [ 2500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 18:03:10 time: 1.0324 data_time: 0.0170 memory: 23191 grad_norm: 32.3707 loss: 10.5812 loss_cls: 0.3185 loss_bbox: 0.1402 loss_iou: 0.2448 d0.loss_cls: 0.3528 d0.loss_bbox: 0.1541 d0.loss_iou: 0.2610 d1.loss_cls: 0.3392 d1.loss_bbox: 0.1447 d1.loss_iou: 0.2483 d2.loss_cls: 0.3283 d2.loss_bbox: 0.1414 d2.loss_iou: 0.2461 d3.loss_cls: 0.3229 d3.loss_bbox: 0.1422 d3.loss_iou: 0.2431 d4.loss_cls: 0.3236 d4.loss_bbox: 0.1392 d4.loss_iou: 0.2417 enc_loss_cls: 0.3703 enc_loss_bbox: 0.1692 enc_loss_iou: 0.2812 dn_loss_cls: 0.1285 dn_loss_bbox: 0.1932 dn_loss_iou: 0.2396 d0.dn_loss_cls: 0.2287 d0.dn_loss_bbox: 0.3851 d0.dn_loss_iou: 0.4081 d1.dn_loss_cls: 0.1718 d1.dn_loss_bbox: 0.2350 d1.dn_loss_iou: 0.2780 d2.dn_loss_cls: 0.1495 d2.dn_loss_bbox: 0.2045 d2.dn_loss_iou: 0.2495 d3.dn_loss_cls: 0.1356 d3.dn_loss_bbox: 0.1957 d3.dn_loss_iou: 0.2415 d4.dn_loss_cls: 0.1310 d4.dn_loss_bbox: 0.1933 d4.dn_loss_iou: 0.2395 d1.loss_lmm_region: 0.3442 loss_lmm_image: 1.0762 +2024/11/07 04:11:26 - mmengine - INFO - Iter(train) [ 2600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 18:01:43 time: 1.0271 data_time: 0.0167 memory: 24056 grad_norm: 25.4832 loss: 10.7174 loss_cls: 0.3527 loss_bbox: 0.1398 loss_iou: 0.2766 d0.loss_cls: 0.3943 d0.loss_bbox: 0.1566 d0.loss_iou: 0.3012 d1.loss_cls: 0.3790 d1.loss_bbox: 0.1449 d1.loss_iou: 0.2836 d2.loss_cls: 0.3687 d2.loss_bbox: 0.1419 d2.loss_iou: 0.2803 d3.loss_cls: 0.3639 d3.loss_bbox: 0.1398 d3.loss_iou: 0.2777 d4.loss_cls: 0.3579 d4.loss_bbox: 0.1401 d4.loss_iou: 0.2766 enc_loss_cls: 0.4121 enc_loss_bbox: 0.1663 enc_loss_iou: 0.3195 dn_loss_cls: 0.1283 dn_loss_bbox: 0.1724 dn_loss_iou: 0.2408 d0.dn_loss_cls: 0.2098 d0.dn_loss_bbox: 0.3178 d0.dn_loss_iou: 0.3937 d1.dn_loss_cls: 0.1592 d1.dn_loss_bbox: 0.2080 d1.dn_loss_iou: 0.2762 d2.dn_loss_cls: 0.1432 d2.dn_loss_bbox: 0.1816 d2.dn_loss_iou: 0.2506 d3.dn_loss_cls: 0.1328 d3.dn_loss_bbox: 0.1742 d3.dn_loss_iou: 0.2428 d4.dn_loss_cls: 0.1297 d4.dn_loss_bbox: 0.1724 d4.dn_loss_iou: 0.2409 d1.loss_lmm_region: 0.2556 loss_lmm_image: 1.0138 +2024/11/07 04:13:09 - mmengine - INFO - Iter(train) [ 2700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 18:00:30 time: 1.0478 data_time: 0.0166 memory: 23972 grad_norm: 23.6497 loss: 11.4491 loss_cls: 0.3434 loss_bbox: 0.1721 loss_iou: 0.3183 d0.loss_cls: 0.3876 d0.loss_bbox: 0.1840 d0.loss_iou: 0.3347 d1.loss_cls: 0.3611 d1.loss_bbox: 0.1783 d1.loss_iou: 0.3259 d2.loss_cls: 0.3533 d2.loss_bbox: 0.1696 d2.loss_iou: 0.3179 d3.loss_cls: 0.3542 d3.loss_bbox: 0.1659 d3.loss_iou: 0.3125 d4.loss_cls: 0.3477 d4.loss_bbox: 0.1698 d4.loss_iou: 0.3164 enc_loss_cls: 0.3982 enc_loss_bbox: 0.1938 enc_loss_iou: 0.3571 dn_loss_cls: 0.1174 dn_loss_bbox: 0.2001 dn_loss_iou: 0.2530 d0.dn_loss_cls: 0.2006 d0.dn_loss_bbox: 0.3670 d0.dn_loss_iou: 0.4129 d1.dn_loss_cls: 0.1463 d1.dn_loss_bbox: 0.2382 d1.dn_loss_iou: 0.2915 d2.dn_loss_cls: 0.1318 d2.dn_loss_bbox: 0.2125 d2.dn_loss_iou: 0.2644 d3.dn_loss_cls: 0.1220 d3.dn_loss_bbox: 0.2020 d3.dn_loss_iou: 0.2549 d4.dn_loss_cls: 0.1191 d4.dn_loss_bbox: 0.2003 d4.dn_loss_iou: 0.2530 d1.loss_lmm_region: 0.2879 loss_lmm_image: 1.1121 +2024/11/07 04:14:50 - mmengine - INFO - Iter(train) [ 2800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:57:38 time: 1.0117 data_time: 0.0168 memory: 23740 grad_norm: 21.7503 loss: 10.6414 loss_cls: 0.3367 loss_bbox: 0.1422 loss_iou: 0.2761 d0.loss_cls: 0.3801 d0.loss_bbox: 0.1534 d0.loss_iou: 0.2916 d1.loss_cls: 0.3556 d1.loss_bbox: 0.1457 d1.loss_iou: 0.2808 d2.loss_cls: 0.3493 d2.loss_bbox: 0.1407 d2.loss_iou: 0.2746 d3.loss_cls: 0.3417 d3.loss_bbox: 0.1424 d3.loss_iou: 0.2761 d4.loss_cls: 0.3393 d4.loss_bbox: 0.1417 d4.loss_iou: 0.2765 enc_loss_cls: 0.3906 enc_loss_bbox: 0.1691 enc_loss_iou: 0.3164 dn_loss_cls: 0.1312 dn_loss_bbox: 0.1637 dn_loss_iou: 0.2331 d0.dn_loss_cls: 0.2330 d0.dn_loss_bbox: 0.3232 d0.dn_loss_iou: 0.3951 d1.dn_loss_cls: 0.1735 d1.dn_loss_bbox: 0.2068 d1.dn_loss_iou: 0.2733 d2.dn_loss_cls: 0.1503 d2.dn_loss_bbox: 0.1752 d2.dn_loss_iou: 0.2439 d3.dn_loss_cls: 0.1368 d3.dn_loss_bbox: 0.1655 d3.dn_loss_iou: 0.2348 d4.dn_loss_cls: 0.1321 d4.dn_loss_bbox: 0.1637 d4.dn_loss_iou: 0.2331 d1.loss_lmm_region: 0.3242 loss_lmm_image: 1.0284 +2024/11/07 04:16:32 - mmengine - INFO - Iter(train) [ 2900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:55:36 time: 1.0166 data_time: 0.0166 memory: 23465 grad_norm: 24.9933 loss: 11.0803 loss_cls: 0.3572 loss_bbox: 0.1419 loss_iou: 0.2820 d0.loss_cls: 0.4017 d0.loss_bbox: 0.1618 d0.loss_iou: 0.3021 d1.loss_cls: 0.3914 d1.loss_bbox: 0.1439 d1.loss_iou: 0.2866 d2.loss_cls: 0.3773 d2.loss_bbox: 0.1402 d2.loss_iou: 0.2807 d3.loss_cls: 0.3664 d3.loss_bbox: 0.1412 d3.loss_iou: 0.2826 d4.loss_cls: 0.3605 d4.loss_bbox: 0.1410 d4.loss_iou: 0.2807 enc_loss_cls: 0.4153 enc_loss_bbox: 0.1731 enc_loss_iou: 0.3263 dn_loss_cls: 0.1233 dn_loss_bbox: 0.1994 dn_loss_iou: 0.2512 d0.dn_loss_cls: 0.2127 d0.dn_loss_bbox: 0.3686 d0.dn_loss_iou: 0.4216 d1.dn_loss_cls: 0.1602 d1.dn_loss_bbox: 0.2380 d1.dn_loss_iou: 0.2901 d2.dn_loss_cls: 0.1463 d2.dn_loss_bbox: 0.2073 d2.dn_loss_iou: 0.2612 d3.dn_loss_cls: 0.1357 d3.dn_loss_bbox: 0.2012 d3.dn_loss_iou: 0.2527 d4.dn_loss_cls: 0.1262 d4.dn_loss_bbox: 0.1994 d4.dn_loss_iou: 0.2511 d1.loss_lmm_region: 0.3086 loss_lmm_image: 0.9717 +2024/11/07 04:18:14 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/07 04:18:14 - mmengine - INFO - Iter(train) [ 3000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:53:15 time: 1.0214 data_time: 0.0168 memory: 24012 grad_norm: 24.7951 loss: 10.8203 loss_cls: 0.3050 loss_bbox: 0.1588 loss_iou: 0.2671 d0.loss_cls: 0.3517 d0.loss_bbox: 0.1738 d0.loss_iou: 0.2832 d1.loss_cls: 0.3365 d1.loss_bbox: 0.1642 d1.loss_iou: 0.2714 d2.loss_cls: 0.3297 d2.loss_bbox: 0.1575 d2.loss_iou: 0.2638 d3.loss_cls: 0.3189 d3.loss_bbox: 0.1604 d3.loss_iou: 0.2680 d4.loss_cls: 0.3155 d4.loss_bbox: 0.1590 d4.loss_iou: 0.2669 enc_loss_cls: 0.3707 enc_loss_bbox: 0.1891 enc_loss_iou: 0.3012 dn_loss_cls: 0.1244 dn_loss_bbox: 0.2070 dn_loss_iou: 0.2394 d0.dn_loss_cls: 0.2175 d0.dn_loss_bbox: 0.3995 d0.dn_loss_iou: 0.4094 d1.dn_loss_cls: 0.1548 d1.dn_loss_bbox: 0.2559 d1.dn_loss_iou: 0.2797 d2.dn_loss_cls: 0.1392 d2.dn_loss_bbox: 0.2214 d2.dn_loss_iou: 0.2511 d3.dn_loss_cls: 0.1287 d3.dn_loss_bbox: 0.2082 d3.dn_loss_iou: 0.2407 d4.dn_loss_cls: 0.1242 d4.dn_loss_bbox: 0.2070 d4.dn_loss_iou: 0.2393 d1.loss_lmm_region: 0.3011 loss_lmm_image: 1.0599 +2024/11/07 04:19:58 - mmengine - INFO - Iter(train) [ 3100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:52:13 time: 1.0124 data_time: 0.0168 memory: 23186 grad_norm: 21.7581 loss: 11.3461 loss_cls: 0.3417 loss_bbox: 0.1792 loss_iou: 0.3102 d0.loss_cls: 0.3753 d0.loss_bbox: 0.1957 d0.loss_iou: 0.3340 d1.loss_cls: 0.3600 d1.loss_bbox: 0.1794 d1.loss_iou: 0.3176 d2.loss_cls: 0.3570 d2.loss_bbox: 0.1738 d2.loss_iou: 0.3097 d3.loss_cls: 0.3458 d3.loss_bbox: 0.1778 d3.loss_iou: 0.3114 d4.loss_cls: 0.3441 d4.loss_bbox: 0.1767 d4.loss_iou: 0.3087 enc_loss_cls: 0.3992 enc_loss_bbox: 0.2038 enc_loss_iou: 0.3497 dn_loss_cls: 0.1270 dn_loss_bbox: 0.1866 dn_loss_iou: 0.2495 d0.dn_loss_cls: 0.2150 d0.dn_loss_bbox: 0.3400 d0.dn_loss_iou: 0.4101 d1.dn_loss_cls: 0.1612 d1.dn_loss_bbox: 0.2216 d1.dn_loss_iou: 0.2858 d2.dn_loss_cls: 0.1415 d2.dn_loss_bbox: 0.1990 d2.dn_loss_iou: 0.2600 d3.dn_loss_cls: 0.1324 d3.dn_loss_bbox: 0.1879 d3.dn_loss_iou: 0.2510 d4.dn_loss_cls: 0.1272 d4.dn_loss_bbox: 0.1865 d4.dn_loss_iou: 0.2495 d1.loss_lmm_region: 0.3050 loss_lmm_image: 1.0588 +2024/11/07 04:21:40 - mmengine - INFO - Iter(train) [ 3200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:50:08 time: 1.0349 data_time: 0.0168 memory: 23187 grad_norm: 25.8193 loss: 10.2227 loss_cls: 0.3055 loss_bbox: 0.1452 loss_iou: 0.2419 d0.loss_cls: 0.3322 d0.loss_bbox: 0.1564 d0.loss_iou: 0.2571 d1.loss_cls: 0.3153 d1.loss_bbox: 0.1500 d1.loss_iou: 0.2503 d2.loss_cls: 0.3090 d2.loss_bbox: 0.1456 d2.loss_iou: 0.2421 d3.loss_cls: 0.3053 d3.loss_bbox: 0.1459 d3.loss_iou: 0.2423 d4.loss_cls: 0.3060 d4.loss_bbox: 0.1454 d4.loss_iou: 0.2417 enc_loss_cls: 0.3468 enc_loss_bbox: 0.1694 enc_loss_iou: 0.2783 dn_loss_cls: 0.1175 dn_loss_bbox: 0.1927 dn_loss_iou: 0.2289 d0.dn_loss_cls: 0.2063 d0.dn_loss_bbox: 0.3583 d0.dn_loss_iou: 0.3873 d1.dn_loss_cls: 0.1489 d1.dn_loss_bbox: 0.2257 d1.dn_loss_iou: 0.2635 d2.dn_loss_cls: 0.1313 d2.dn_loss_bbox: 0.1977 d2.dn_loss_iou: 0.2357 d3.dn_loss_cls: 0.1233 d3.dn_loss_bbox: 0.1941 d3.dn_loss_iou: 0.2303 d4.dn_loss_cls: 0.1182 d4.dn_loss_bbox: 0.1928 d4.dn_loss_iou: 0.2289 d1.loss_lmm_region: 0.3267 loss_lmm_image: 1.0828 +2024/11/07 04:23:23 - mmengine - INFO - Iter(train) [ 3300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:48:39 time: 1.0112 data_time: 0.0167 memory: 23881 grad_norm: 24.3441 loss: 10.4537 loss_cls: 0.3682 loss_bbox: 0.1343 loss_iou: 0.2639 d0.loss_cls: 0.4171 d0.loss_bbox: 0.1408 d0.loss_iou: 0.2826 d1.loss_cls: 0.3899 d1.loss_bbox: 0.1394 d1.loss_iou: 0.2714 d2.loss_cls: 0.3849 d2.loss_bbox: 0.1318 d2.loss_iou: 0.2655 d3.loss_cls: 0.3770 d3.loss_bbox: 0.1319 d3.loss_iou: 0.2640 d4.loss_cls: 0.3715 d4.loss_bbox: 0.1338 d4.loss_iou: 0.2646 enc_loss_cls: 0.4177 enc_loss_bbox: 0.1615 enc_loss_iou: 0.3104 dn_loss_cls: 0.1147 dn_loss_bbox: 0.1672 dn_loss_iou: 0.2000 d0.dn_loss_cls: 0.2104 d0.dn_loss_bbox: 0.3384 d0.dn_loss_iou: 0.3531 d1.dn_loss_cls: 0.1456 d1.dn_loss_bbox: 0.2071 d1.dn_loss_iou: 0.2358 d2.dn_loss_cls: 0.1283 d2.dn_loss_bbox: 0.1765 d2.dn_loss_iou: 0.2092 d3.dn_loss_cls: 0.1210 d3.dn_loss_bbox: 0.1684 d3.dn_loss_iou: 0.2020 d4.dn_loss_cls: 0.1153 d4.dn_loss_bbox: 0.1671 d4.dn_loss_iou: 0.1999 d1.loss_lmm_region: 0.3125 loss_lmm_image: 1.0592 +2024/11/07 04:25:07 - mmengine - INFO - Iter(train) [ 3400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:48:09 time: 1.0545 data_time: 0.0167 memory: 22843 grad_norm: 22.5288 loss: 10.7310 loss_cls: 0.3010 loss_bbox: 0.1529 loss_iou: 0.2569 d0.loss_cls: 0.3444 d0.loss_bbox: 0.1682 d0.loss_iou: 0.2751 d1.loss_cls: 0.3251 d1.loss_bbox: 0.1535 d1.loss_iou: 0.2618 d2.loss_cls: 0.3128 d2.loss_bbox: 0.1549 d2.loss_iou: 0.2594 d3.loss_cls: 0.3052 d3.loss_bbox: 0.1516 d3.loss_iou: 0.2574 d4.loss_cls: 0.3034 d4.loss_bbox: 0.1521 d4.loss_iou: 0.2555 enc_loss_cls: 0.3694 enc_loss_bbox: 0.1764 enc_loss_iou: 0.2863 dn_loss_cls: 0.1259 dn_loss_bbox: 0.2172 dn_loss_iou: 0.2467 d0.dn_loss_cls: 0.2269 d0.dn_loss_bbox: 0.4099 d0.dn_loss_iou: 0.4175 d1.dn_loss_cls: 0.1676 d1.dn_loss_bbox: 0.2574 d1.dn_loss_iou: 0.2839 d2.dn_loss_cls: 0.1490 d2.dn_loss_bbox: 0.2275 d2.dn_loss_iou: 0.2568 d3.dn_loss_cls: 0.1359 d3.dn_loss_bbox: 0.2173 d3.dn_loss_iou: 0.2477 d4.dn_loss_cls: 0.1309 d4.dn_loss_bbox: 0.2169 d4.dn_loss_iou: 0.2465 d1.loss_lmm_region: 0.3250 loss_lmm_image: 1.0012 +2024/11/07 04:26:49 - mmengine - INFO - Iter(train) [ 3500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:45:57 time: 1.0252 data_time: 0.0167 memory: 24006 grad_norm: 23.2734 loss: 9.2345 loss_cls: 0.3151 loss_bbox: 0.0997 loss_iou: 0.2320 d0.loss_cls: 0.3464 d0.loss_bbox: 0.1116 d0.loss_iou: 0.2472 d1.loss_cls: 0.3339 d1.loss_bbox: 0.1059 d1.loss_iou: 0.2387 d2.loss_cls: 0.3275 d2.loss_bbox: 0.1014 d2.loss_iou: 0.2334 d3.loss_cls: 0.3200 d3.loss_bbox: 0.1004 d3.loss_iou: 0.2312 d4.loss_cls: 0.3164 d4.loss_bbox: 0.0996 d4.loss_iou: 0.2319 enc_loss_cls: 0.3602 enc_loss_bbox: 0.1298 enc_loss_iou: 0.2761 dn_loss_cls: 0.1121 dn_loss_bbox: 0.1292 dn_loss_iou: 0.1986 d0.dn_loss_cls: 0.1953 d0.dn_loss_bbox: 0.2679 d0.dn_loss_iou: 0.3452 d1.dn_loss_cls: 0.1410 d1.dn_loss_bbox: 0.1595 d1.dn_loss_iou: 0.2339 d2.dn_loss_cls: 0.1268 d2.dn_loss_bbox: 0.1361 d2.dn_loss_iou: 0.2081 d3.dn_loss_cls: 0.1156 d3.dn_loss_bbox: 0.1297 d3.dn_loss_iou: 0.2005 d4.dn_loss_cls: 0.1130 d4.dn_loss_bbox: 0.1293 d4.dn_loss_iou: 0.1987 d1.loss_lmm_region: 0.2693 loss_lmm_image: 1.0661 +2024/11/07 04:28:32 - mmengine - INFO - Iter(train) [ 3600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:44:38 time: 1.0208 data_time: 0.0166 memory: 24508 grad_norm: 25.3481 loss: 10.4422 loss_cls: 0.3345 loss_bbox: 0.1460 loss_iou: 0.2478 d0.loss_cls: 0.3594 d0.loss_bbox: 0.1558 d0.loss_iou: 0.2639 d1.loss_cls: 0.3419 d1.loss_bbox: 0.1517 d1.loss_iou: 0.2574 d2.loss_cls: 0.3440 d2.loss_bbox: 0.1434 d2.loss_iou: 0.2466 d3.loss_cls: 0.3452 d3.loss_bbox: 0.1387 d3.loss_iou: 0.2462 d4.loss_cls: 0.3355 d4.loss_bbox: 0.1448 d4.loss_iou: 0.2476 enc_loss_cls: 0.3757 enc_loss_bbox: 0.1672 enc_loss_iou: 0.2865 dn_loss_cls: 0.1160 dn_loss_bbox: 0.1983 dn_loss_iou: 0.2337 d0.dn_loss_cls: 0.2152 d0.dn_loss_bbox: 0.3610 d0.dn_loss_iou: 0.3922 d1.dn_loss_cls: 0.1528 d1.dn_loss_bbox: 0.2425 d1.dn_loss_iou: 0.2721 d2.dn_loss_cls: 0.1349 d2.dn_loss_bbox: 0.2107 d2.dn_loss_iou: 0.2441 d3.dn_loss_cls: 0.1231 d3.dn_loss_bbox: 0.2000 d3.dn_loss_iou: 0.2354 d4.dn_loss_cls: 0.1172 d4.dn_loss_bbox: 0.1982 d4.dn_loss_iou: 0.2337 d1.loss_lmm_region: 0.2930 loss_lmm_image: 0.9881 +2024/11/07 04:30:14 - mmengine - INFO - Iter(train) [ 3700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:42:17 time: 1.0153 data_time: 0.0168 memory: 23013 grad_norm: 21.7958 loss: 9.8865 loss_cls: 0.3193 loss_bbox: 0.1289 loss_iou: 0.2384 d0.loss_cls: 0.3530 d0.loss_bbox: 0.1416 d0.loss_iou: 0.2538 d1.loss_cls: 0.3324 d1.loss_bbox: 0.1330 d1.loss_iou: 0.2426 d2.loss_cls: 0.3255 d2.loss_bbox: 0.1266 d2.loss_iou: 0.2386 d3.loss_cls: 0.3232 d3.loss_bbox: 0.1278 d3.loss_iou: 0.2370 d4.loss_cls: 0.3232 d4.loss_bbox: 0.1276 d4.loss_iou: 0.2371 enc_loss_cls: 0.3690 enc_loss_bbox: 0.1509 enc_loss_iou: 0.2745 dn_loss_cls: 0.1114 dn_loss_bbox: 0.1608 dn_loss_iou: 0.2206 d0.dn_loss_cls: 0.2117 d0.dn_loss_bbox: 0.3383 d0.dn_loss_iou: 0.3924 d1.dn_loss_cls: 0.1531 d1.dn_loss_bbox: 0.2002 d1.dn_loss_iou: 0.2612 d2.dn_loss_cls: 0.1303 d2.dn_loss_bbox: 0.1719 d2.dn_loss_iou: 0.2321 d3.dn_loss_cls: 0.1194 d3.dn_loss_bbox: 0.1631 d3.dn_loss_iou: 0.2228 d4.dn_loss_cls: 0.1138 d4.dn_loss_bbox: 0.1609 d4.dn_loss_iou: 0.2207 d1.loss_lmm_region: 0.2549 loss_lmm_image: 1.0430 +2024/11/07 04:31:57 - mmengine - INFO - Iter(train) [ 3800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:41:01 time: 1.0190 data_time: 0.0168 memory: 23512 grad_norm: 24.0205 loss: 12.1009 loss_cls: 0.3678 loss_bbox: 0.1792 loss_iou: 0.3395 d0.loss_cls: 0.4162 d0.loss_bbox: 0.1962 d0.loss_iou: 0.3624 d1.loss_cls: 0.3926 d1.loss_bbox: 0.1825 d1.loss_iou: 0.3461 d2.loss_cls: 0.3811 d2.loss_bbox: 0.1792 d2.loss_iou: 0.3387 d3.loss_cls: 0.3774 d3.loss_bbox: 0.1752 d3.loss_iou: 0.3388 d4.loss_cls: 0.3712 d4.loss_bbox: 0.1782 d4.loss_iou: 0.3390 enc_loss_cls: 0.4277 enc_loss_bbox: 0.2060 enc_loss_iou: 0.3835 dn_loss_cls: 0.1390 dn_loss_bbox: 0.2075 dn_loss_iou: 0.2698 d0.dn_loss_cls: 0.2337 d0.dn_loss_bbox: 0.3721 d0.dn_loss_iou: 0.4336 d1.dn_loss_cls: 0.1780 d1.dn_loss_bbox: 0.2410 d1.dn_loss_iou: 0.3090 d2.dn_loss_cls: 0.1581 d2.dn_loss_bbox: 0.2169 d2.dn_loss_iou: 0.2795 d3.dn_loss_cls: 0.1464 d3.dn_loss_bbox: 0.2088 d3.dn_loss_iou: 0.2709 d4.dn_loss_cls: 0.1424 d4.dn_loss_bbox: 0.2076 d4.dn_loss_iou: 0.2697 d1.loss_lmm_region: 0.3097 loss_lmm_image: 1.0290 +2024/11/07 04:33:40 - mmengine - INFO - Iter(train) [ 3900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:39:23 time: 1.0315 data_time: 0.0167 memory: 23130 grad_norm: 23.1759 loss: 11.2856 loss_cls: 0.3516 loss_bbox: 0.1509 loss_iou: 0.2733 d0.loss_cls: 0.3746 d0.loss_bbox: 0.1719 d0.loss_iou: 0.2955 d1.loss_cls: 0.3673 d1.loss_bbox: 0.1576 d1.loss_iou: 0.2781 d2.loss_cls: 0.3628 d2.loss_bbox: 0.1546 d2.loss_iou: 0.2773 d3.loss_cls: 0.3546 d3.loss_bbox: 0.1523 d3.loss_iou: 0.2726 d4.loss_cls: 0.3550 d4.loss_bbox: 0.1487 d4.loss_iou: 0.2710 enc_loss_cls: 0.3899 enc_loss_bbox: 0.1788 enc_loss_iou: 0.3098 dn_loss_cls: 0.1323 dn_loss_bbox: 0.2125 dn_loss_iou: 0.2695 d0.dn_loss_cls: 0.2293 d0.dn_loss_bbox: 0.3739 d0.dn_loss_iou: 0.4269 d1.dn_loss_cls: 0.1695 d1.dn_loss_bbox: 0.2478 d1.dn_loss_iou: 0.3072 d2.dn_loss_cls: 0.1516 d2.dn_loss_bbox: 0.2229 d2.dn_loss_iou: 0.2802 d3.dn_loss_cls: 0.1376 d3.dn_loss_bbox: 0.2138 d3.dn_loss_iou: 0.2710 d4.dn_loss_cls: 0.1341 d4.dn_loss_bbox: 0.2126 d4.dn_loss_iou: 0.2695 d1.loss_lmm_region: 0.3558 loss_lmm_image: 1.0192 +2024/11/07 04:35:23 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/07 04:35:23 - mmengine - INFO - Iter(train) [ 4000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:37:43 time: 1.0229 data_time: 0.0170 memory: 23122 grad_norm: 27.1682 loss: 10.2420 loss_cls: 0.3361 loss_bbox: 0.1411 loss_iou: 0.2843 d0.loss_cls: 0.3717 d0.loss_bbox: 0.1605 d0.loss_iou: 0.3082 d1.loss_cls: 0.3567 d1.loss_bbox: 0.1441 d1.loss_iou: 0.2900 d2.loss_cls: 0.3456 d2.loss_bbox: 0.1439 d2.loss_iou: 0.2880 d3.loss_cls: 0.3405 d3.loss_bbox: 0.1437 d3.loss_iou: 0.2887 d4.loss_cls: 0.3384 d4.loss_bbox: 0.1416 d4.loss_iou: 0.2856 enc_loss_cls: 0.3929 enc_loss_bbox: 0.1713 enc_loss_iou: 0.3318 dn_loss_cls: 0.0910 dn_loss_bbox: 0.1524 dn_loss_iou: 0.2143 d0.dn_loss_cls: 0.1863 d0.dn_loss_bbox: 0.3139 d0.dn_loss_iou: 0.3728 d1.dn_loss_cls: 0.1229 d1.dn_loss_bbox: 0.1907 d1.dn_loss_iou: 0.2521 d2.dn_loss_cls: 0.1055 d2.dn_loss_bbox: 0.1613 d2.dn_loss_iou: 0.2235 d3.dn_loss_cls: 0.0951 d3.dn_loss_bbox: 0.1541 d3.dn_loss_iou: 0.2160 d4.dn_loss_cls: 0.0919 d4.dn_loss_bbox: 0.1525 d4.dn_loss_iou: 0.2141 d1.loss_lmm_region: 0.2817 loss_lmm_image: 1.0450 +2024/11/07 04:37:06 - mmengine - INFO - Iter(train) [ 4100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:36:30 time: 1.0409 data_time: 0.0167 memory: 24236 grad_norm: 24.6473 loss: 9.4094 loss_cls: 0.2901 loss_bbox: 0.1126 loss_iou: 0.2012 d0.loss_cls: 0.3271 d0.loss_bbox: 0.1295 d0.loss_iou: 0.2210 d1.loss_cls: 0.3049 d1.loss_bbox: 0.1215 d1.loss_iou: 0.2103 d2.loss_cls: 0.2962 d2.loss_bbox: 0.1182 d2.loss_iou: 0.2059 d3.loss_cls: 0.2964 d3.loss_bbox: 0.1122 d3.loss_iou: 0.1993 d4.loss_cls: 0.2895 d4.loss_bbox: 0.1138 d4.loss_iou: 0.2025 enc_loss_cls: 0.3349 enc_loss_bbox: 0.1488 enc_loss_iou: 0.2454 dn_loss_cls: 0.1101 dn_loss_bbox: 0.1747 dn_loss_iou: 0.2134 d0.dn_loss_cls: 0.1862 d0.dn_loss_bbox: 0.3562 d0.dn_loss_iou: 0.3847 d1.dn_loss_cls: 0.1340 d1.dn_loss_bbox: 0.2177 d1.dn_loss_iou: 0.2579 d2.dn_loss_cls: 0.1202 d2.dn_loss_bbox: 0.1839 d2.dn_loss_iou: 0.2246 d3.dn_loss_cls: 0.1129 d3.dn_loss_bbox: 0.1759 d3.dn_loss_iou: 0.2154 d4.dn_loss_cls: 0.1104 d4.dn_loss_bbox: 0.1747 d4.dn_loss_iou: 0.2133 d1.loss_lmm_region: 0.2807 loss_lmm_image: 1.0811 +2024/11/07 04:38:49 - mmengine - INFO - Iter(train) [ 4200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:34:42 time: 1.0201 data_time: 0.0166 memory: 23728 grad_norm: 23.1668 loss: 10.1425 loss_cls: 0.2983 loss_bbox: 0.1376 loss_iou: 0.2360 d0.loss_cls: 0.3334 d0.loss_bbox: 0.1469 d0.loss_iou: 0.2448 d1.loss_cls: 0.3172 d1.loss_bbox: 0.1411 d1.loss_iou: 0.2407 d2.loss_cls: 0.3096 d2.loss_bbox: 0.1373 d2.loss_iou: 0.2369 d3.loss_cls: 0.3055 d3.loss_bbox: 0.1362 d3.loss_iou: 0.2345 d4.loss_cls: 0.3033 d4.loss_bbox: 0.1353 d4.loss_iou: 0.2338 enc_loss_cls: 0.3499 enc_loss_bbox: 0.1666 enc_loss_iou: 0.2674 dn_loss_cls: 0.1020 dn_loss_bbox: 0.1984 dn_loss_iou: 0.2395 d0.dn_loss_cls: 0.2008 d0.dn_loss_bbox: 0.3879 d0.dn_loss_iou: 0.4169 d1.dn_loss_cls: 0.1375 d1.dn_loss_bbox: 0.2402 d1.dn_loss_iou: 0.2815 d2.dn_loss_cls: 0.1175 d2.dn_loss_bbox: 0.2087 d2.dn_loss_iou: 0.2513 d3.dn_loss_cls: 0.1070 d3.dn_loss_bbox: 0.2007 d3.dn_loss_iou: 0.2414 d4.dn_loss_cls: 0.1027 d4.dn_loss_bbox: 0.1983 d4.dn_loss_iou: 0.2394 d1.loss_lmm_region: 0.3048 loss_lmm_image: 1.0538 +2024/11/07 04:40:32 - mmengine - INFO - Iter(train) [ 4300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:33:14 time: 1.0243 data_time: 0.0166 memory: 22187 grad_norm: 23.7145 loss: 9.5682 loss_cls: 0.2967 loss_bbox: 0.1203 loss_iou: 0.2253 d0.loss_cls: 0.3296 d0.loss_bbox: 0.1334 d0.loss_iou: 0.2456 d1.loss_cls: 0.3148 d1.loss_bbox: 0.1252 d1.loss_iou: 0.2312 d2.loss_cls: 0.3067 d2.loss_bbox: 0.1217 d2.loss_iou: 0.2270 d3.loss_cls: 0.3035 d3.loss_bbox: 0.1192 d3.loss_iou: 0.2232 d4.loss_cls: 0.2981 d4.loss_bbox: 0.1197 d4.loss_iou: 0.2245 enc_loss_cls: 0.3442 enc_loss_bbox: 0.1444 enc_loss_iou: 0.2619 dn_loss_cls: 0.1151 dn_loss_bbox: 0.1649 dn_loss_iou: 0.2178 d0.dn_loss_cls: 0.2040 d0.dn_loss_bbox: 0.3325 d0.dn_loss_iou: 0.3787 d1.dn_loss_cls: 0.1453 d1.dn_loss_bbox: 0.2073 d1.dn_loss_iou: 0.2583 d2.dn_loss_cls: 0.1313 d2.dn_loss_bbox: 0.1768 d2.dn_loss_iou: 0.2293 d3.dn_loss_cls: 0.1208 d3.dn_loss_bbox: 0.1666 d3.dn_loss_iou: 0.2198 d4.dn_loss_cls: 0.1168 d4.dn_loss_bbox: 0.1648 d4.dn_loss_iou: 0.2177 d1.loss_lmm_region: 0.2370 loss_lmm_image: 1.0475 +2024/11/07 04:42:13 - mmengine - INFO - Iter(train) [ 4400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:30:48 time: 1.0166 data_time: 0.0167 memory: 23118 grad_norm: 21.5902 loss: 11.0442 loss_cls: 0.3569 loss_bbox: 0.1557 loss_iou: 0.2909 d0.loss_cls: 0.3851 d0.loss_bbox: 0.1762 d0.loss_iou: 0.3151 d1.loss_cls: 0.3656 d1.loss_bbox: 0.1605 d1.loss_iou: 0.2961 d2.loss_cls: 0.3601 d2.loss_bbox: 0.1592 d2.loss_iou: 0.2964 d3.loss_cls: 0.3598 d3.loss_bbox: 0.1557 d3.loss_iou: 0.2906 d4.loss_cls: 0.3586 d4.loss_bbox: 0.1546 d4.loss_iou: 0.2905 enc_loss_cls: 0.3959 enc_loss_bbox: 0.1899 enc_loss_iou: 0.3375 dn_loss_cls: 0.1019 dn_loss_bbox: 0.1933 dn_loss_iou: 0.2569 d0.dn_loss_cls: 0.1971 d0.dn_loss_bbox: 0.3704 d0.dn_loss_iou: 0.4233 d1.dn_loss_cls: 0.1383 d1.dn_loss_bbox: 0.2360 d1.dn_loss_iou: 0.2967 d2.dn_loss_cls: 0.1199 d2.dn_loss_bbox: 0.2029 d2.dn_loss_iou: 0.2669 d3.dn_loss_cls: 0.1079 d3.dn_loss_bbox: 0.1950 d3.dn_loss_iou: 0.2583 d4.dn_loss_cls: 0.1026 d4.dn_loss_bbox: 0.1933 d4.dn_loss_iou: 0.2568 d1.loss_lmm_region: 0.2462 loss_lmm_image: 1.0294 +2024/11/07 04:43:56 - mmengine - INFO - Iter(train) [ 4500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:29:17 time: 1.0076 data_time: 0.0167 memory: 23418 grad_norm: 21.7886 loss: 9.9797 loss_cls: 0.2982 loss_bbox: 0.1356 loss_iou: 0.2277 d0.loss_cls: 0.3356 d0.loss_bbox: 0.1441 d0.loss_iou: 0.2402 d1.loss_cls: 0.3174 d1.loss_bbox: 0.1385 d1.loss_iou: 0.2337 d2.loss_cls: 0.3087 d2.loss_bbox: 0.1363 d2.loss_iou: 0.2299 d3.loss_cls: 0.3049 d3.loss_bbox: 0.1351 d3.loss_iou: 0.2274 d4.loss_cls: 0.3013 d4.loss_bbox: 0.1363 d4.loss_iou: 0.2278 enc_loss_cls: 0.3494 enc_loss_bbox: 0.1598 enc_loss_iou: 0.2655 dn_loss_cls: 0.1136 dn_loss_bbox: 0.1978 dn_loss_iou: 0.2329 d0.dn_loss_cls: 0.2021 d0.dn_loss_bbox: 0.3591 d0.dn_loss_iou: 0.3859 d1.dn_loss_cls: 0.1427 d1.dn_loss_bbox: 0.2308 d1.dn_loss_iou: 0.2661 d2.dn_loss_cls: 0.1277 d2.dn_loss_bbox: 0.2059 d2.dn_loss_iou: 0.2421 d3.dn_loss_cls: 0.1179 d3.dn_loss_bbox: 0.1999 d3.dn_loss_iou: 0.2351 d4.dn_loss_cls: 0.1131 d4.dn_loss_bbox: 0.1979 d4.dn_loss_iou: 0.2329 d1.loss_lmm_region: 0.2802 loss_lmm_image: 1.0427 +2024/11/07 04:45:39 - mmengine - INFO - Iter(train) [ 4600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:27:45 time: 1.0391 data_time: 0.0167 memory: 24008 grad_norm: 21.5194 loss: 10.1932 loss_cls: 0.3075 loss_bbox: 0.1476 loss_iou: 0.2630 d0.loss_cls: 0.3392 d0.loss_bbox: 0.1574 d0.loss_iou: 0.2820 d1.loss_cls: 0.3256 d1.loss_bbox: 0.1489 d1.loss_iou: 0.2688 d2.loss_cls: 0.3132 d2.loss_bbox: 0.1494 d2.loss_iou: 0.2682 d3.loss_cls: 0.3112 d3.loss_bbox: 0.1503 d3.loss_iou: 0.2664 d4.loss_cls: 0.3089 d4.loss_bbox: 0.1484 d4.loss_iou: 0.2644 enc_loss_cls: 0.3536 enc_loss_bbox: 0.1723 enc_loss_iou: 0.3058 dn_loss_cls: 0.1197 dn_loss_bbox: 0.1771 dn_loss_iou: 0.2322 d0.dn_loss_cls: 0.1945 d0.dn_loss_bbox: 0.3286 d0.dn_loss_iou: 0.3786 d1.dn_loss_cls: 0.1432 d1.dn_loss_bbox: 0.2081 d1.dn_loss_iou: 0.2650 d2.dn_loss_cls: 0.1314 d2.dn_loss_bbox: 0.1841 d2.dn_loss_iou: 0.2402 d3.dn_loss_cls: 0.1245 d3.dn_loss_bbox: 0.1790 d3.dn_loss_iou: 0.2336 d4.dn_loss_cls: 0.1209 d4.dn_loss_bbox: 0.1770 d4.dn_loss_iou: 0.2320 d1.loss_lmm_region: 0.2649 loss_lmm_image: 1.0062 +2024/11/07 04:47:22 - mmengine - INFO - Iter(train) [ 4700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:26:00 time: 1.0206 data_time: 0.0170 memory: 22982 grad_norm: 24.1108 loss: 9.2928 loss_cls: 0.3029 loss_bbox: 0.1092 loss_iou: 0.2256 d0.loss_cls: 0.3258 d0.loss_bbox: 0.1253 d0.loss_iou: 0.2407 d1.loss_cls: 0.3188 d1.loss_bbox: 0.1142 d1.loss_iou: 0.2310 d2.loss_cls: 0.3129 d2.loss_bbox: 0.1125 d2.loss_iou: 0.2303 d3.loss_cls: 0.3060 d3.loss_bbox: 0.1079 d3.loss_iou: 0.2240 d4.loss_cls: 0.3054 d4.loss_bbox: 0.1067 d4.loss_iou: 0.2215 enc_loss_cls: 0.3418 enc_loss_bbox: 0.1352 enc_loss_iou: 0.2597 dn_loss_cls: 0.1137 dn_loss_bbox: 0.1439 dn_loss_iou: 0.2158 d0.dn_loss_cls: 0.1953 d0.dn_loss_bbox: 0.2791 d0.dn_loss_iou: 0.3633 d1.dn_loss_cls: 0.1479 d1.dn_loss_bbox: 0.1728 d1.dn_loss_iou: 0.2494 d2.dn_loss_cls: 0.1321 d2.dn_loss_bbox: 0.1556 d2.dn_loss_iou: 0.2262 d3.dn_loss_cls: 0.1181 d3.dn_loss_bbox: 0.1457 d3.dn_loss_iou: 0.2173 d4.dn_loss_cls: 0.1138 d4.dn_loss_bbox: 0.1440 d4.dn_loss_iou: 0.2159 d1.loss_lmm_region: 0.2702 loss_lmm_image: 1.0152 +2024/11/07 04:49:06 - mmengine - INFO - Iter(train) [ 4800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:24:58 time: 1.0450 data_time: 0.0166 memory: 23647 grad_norm: 25.0354 loss: 10.1916 loss_cls: 0.3439 loss_bbox: 0.1417 loss_iou: 0.2758 d0.loss_cls: 0.3867 d0.loss_bbox: 0.1567 d0.loss_iou: 0.2975 d1.loss_cls: 0.3696 d1.loss_bbox: 0.1411 d1.loss_iou: 0.2767 d2.loss_cls: 0.3606 d2.loss_bbox: 0.1423 d2.loss_iou: 0.2760 d3.loss_cls: 0.3497 d3.loss_bbox: 0.1409 d3.loss_iou: 0.2759 d4.loss_cls: 0.3482 d4.loss_bbox: 0.1413 d4.loss_iou: 0.2755 enc_loss_cls: 0.4027 enc_loss_bbox: 0.1693 enc_loss_iou: 0.3207 dn_loss_cls: 0.0989 dn_loss_bbox: 0.1621 dn_loss_iou: 0.2109 d0.dn_loss_cls: 0.1886 d0.dn_loss_bbox: 0.3056 d0.dn_loss_iou: 0.3528 d1.dn_loss_cls: 0.1311 d1.dn_loss_bbox: 0.1947 d1.dn_loss_iou: 0.2460 d2.dn_loss_cls: 0.1139 d2.dn_loss_bbox: 0.1719 d2.dn_loss_iou: 0.2206 d3.dn_loss_cls: 0.1043 d3.dn_loss_bbox: 0.1641 d3.dn_loss_iou: 0.2129 d4.dn_loss_cls: 0.1003 d4.dn_loss_bbox: 0.1621 d4.dn_loss_iou: 0.2106 d1.loss_lmm_region: 0.2595 loss_lmm_image: 0.9881 +2024/11/07 04:50:48 - mmengine - INFO - Iter(train) [ 4900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:22:59 time: 1.0224 data_time: 0.0167 memory: 23269 grad_norm: 23.1577 loss: 10.3559 loss_cls: 0.3475 loss_bbox: 0.1338 loss_iou: 0.2707 d0.loss_cls: 0.3857 d0.loss_bbox: 0.1545 d0.loss_iou: 0.2980 d1.loss_cls: 0.3726 d1.loss_bbox: 0.1389 d1.loss_iou: 0.2752 d2.loss_cls: 0.3631 d2.loss_bbox: 0.1332 d2.loss_iou: 0.2693 d3.loss_cls: 0.3563 d3.loss_bbox: 0.1337 d3.loss_iou: 0.2701 d4.loss_cls: 0.3524 d4.loss_bbox: 0.1323 d4.loss_iou: 0.2690 enc_loss_cls: 0.4037 enc_loss_bbox: 0.1701 enc_loss_iou: 0.3186 dn_loss_cls: 0.1469 dn_loss_bbox: 0.1463 dn_loss_iou: 0.2042 d0.dn_loss_cls: 0.2178 d0.dn_loss_bbox: 0.2900 d0.dn_loss_iou: 0.3534 d1.dn_loss_cls: 0.1690 d1.dn_loss_bbox: 0.1784 d1.dn_loss_iou: 0.2387 d2.dn_loss_cls: 0.1606 d2.dn_loss_bbox: 0.1570 d2.dn_loss_iou: 0.2133 d3.dn_loss_cls: 0.1501 d3.dn_loss_bbox: 0.1486 d3.dn_loss_iou: 0.2059 d4.dn_loss_cls: 0.1459 d4.dn_loss_bbox: 0.1464 d4.dn_loss_iou: 0.2042 d1.loss_lmm_region: 0.2975 loss_lmm_image: 1.0329 +2024/11/07 04:52:31 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/07 04:52:31 - mmengine - INFO - Iter(train) [ 5000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:21:26 time: 1.0275 data_time: 0.0168 memory: 22739 grad_norm: 21.9445 loss: 10.2862 loss_cls: 0.2958 loss_bbox: 0.1477 loss_iou: 0.2453 d0.loss_cls: 0.3273 d0.loss_bbox: 0.1607 d0.loss_iou: 0.2604 d1.loss_cls: 0.3105 d1.loss_bbox: 0.1536 d1.loss_iou: 0.2509 d2.loss_cls: 0.3066 d2.loss_bbox: 0.1472 d2.loss_iou: 0.2453 d3.loss_cls: 0.2964 d3.loss_bbox: 0.1488 d3.loss_iou: 0.2484 d4.loss_cls: 0.2959 d4.loss_bbox: 0.1485 d4.loss_iou: 0.2465 enc_loss_cls: 0.3425 enc_loss_bbox: 0.1746 enc_loss_iou: 0.2807 dn_loss_cls: 0.0997 dn_loss_bbox: 0.2106 dn_loss_iou: 0.2531 d0.dn_loss_cls: 0.2037 d0.dn_loss_bbox: 0.4011 d0.dn_loss_iou: 0.4222 d1.dn_loss_cls: 0.1387 d1.dn_loss_bbox: 0.2519 d1.dn_loss_iou: 0.2903 d2.dn_loss_cls: 0.1154 d2.dn_loss_bbox: 0.2241 d2.dn_loss_iou: 0.2635 d3.dn_loss_cls: 0.1062 d3.dn_loss_bbox: 0.2118 d3.dn_loss_iou: 0.2545 d4.dn_loss_cls: 0.1015 d4.dn_loss_bbox: 0.2107 d4.dn_loss_iou: 0.2531 d1.loss_lmm_region: 0.2537 loss_lmm_image: 0.9867 +2024/11/07 04:54:13 - mmengine - INFO - Iter(train) [ 5100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:19:24 time: 1.0174 data_time: 0.0167 memory: 23514 grad_norm: 23.5530 loss: 10.4718 loss_cls: 0.3416 loss_bbox: 0.1521 loss_iou: 0.2608 d0.loss_cls: 0.3630 d0.loss_bbox: 0.1718 d0.loss_iou: 0.2867 d1.loss_cls: 0.3519 d1.loss_bbox: 0.1573 d1.loss_iou: 0.2651 d2.loss_cls: 0.3479 d2.loss_bbox: 0.1571 d2.loss_iou: 0.2637 d3.loss_cls: 0.3447 d3.loss_bbox: 0.1539 d3.loss_iou: 0.2620 d4.loss_cls: 0.3442 d4.loss_bbox: 0.1514 d4.loss_iou: 0.2601 enc_loss_cls: 0.3793 enc_loss_bbox: 0.1821 enc_loss_iou: 0.3046 dn_loss_cls: 0.1163 dn_loss_bbox: 0.1854 dn_loss_iou: 0.2279 d0.dn_loss_cls: 0.2017 d0.dn_loss_bbox: 0.3559 d0.dn_loss_iou: 0.3888 d1.dn_loss_cls: 0.1467 d1.dn_loss_bbox: 0.2204 d1.dn_loss_iou: 0.2641 d2.dn_loss_cls: 0.1307 d2.dn_loss_bbox: 0.1942 d2.dn_loss_iou: 0.2373 d3.dn_loss_cls: 0.1207 d3.dn_loss_bbox: 0.1855 d3.dn_loss_iou: 0.2288 d4.dn_loss_cls: 0.1169 d4.dn_loss_bbox: 0.1853 d4.dn_loss_iou: 0.2280 d1.loss_lmm_region: 0.2250 loss_lmm_image: 1.0109 +2024/11/07 04:55:56 - mmengine - INFO - Iter(train) [ 5200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:17:41 time: 1.0143 data_time: 0.0168 memory: 24222 grad_norm: 25.1411 loss: 10.4477 loss_cls: 0.3454 loss_bbox: 0.1518 loss_iou: 0.2763 d0.loss_cls: 0.3769 d0.loss_bbox: 0.1612 d0.loss_iou: 0.2932 d1.loss_cls: 0.3550 d1.loss_bbox: 0.1564 d1.loss_iou: 0.2864 d2.loss_cls: 0.3554 d2.loss_bbox: 0.1523 d2.loss_iou: 0.2780 d3.loss_cls: 0.3512 d3.loss_bbox: 0.1484 d3.loss_iou: 0.2747 d4.loss_cls: 0.3482 d4.loss_bbox: 0.1519 d4.loss_iou: 0.2760 enc_loss_cls: 0.3930 enc_loss_bbox: 0.1741 enc_loss_iou: 0.3166 dn_loss_cls: 0.1076 dn_loss_bbox: 0.1653 dn_loss_iou: 0.2291 d0.dn_loss_cls: 0.1983 d0.dn_loss_bbox: 0.3173 d0.dn_loss_iou: 0.3893 d1.dn_loss_cls: 0.1411 d1.dn_loss_bbox: 0.1973 d1.dn_loss_iou: 0.2659 d2.dn_loss_cls: 0.1249 d2.dn_loss_bbox: 0.1749 d2.dn_loss_iou: 0.2390 d3.dn_loss_cls: 0.1123 d3.dn_loss_bbox: 0.1669 d3.dn_loss_iou: 0.2307 d4.dn_loss_cls: 0.1089 d4.dn_loss_bbox: 0.1656 d4.dn_loss_iou: 0.2291 d1.loss_lmm_region: 0.2528 loss_lmm_image: 1.0091 +2024/11/07 04:57:39 - mmengine - INFO - Iter(train) [ 5300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:16:20 time: 1.0471 data_time: 0.0167 memory: 23709 grad_norm: 21.9958 loss: 10.2460 loss_cls: 0.3597 loss_bbox: 0.1311 loss_iou: 0.2920 d0.loss_cls: 0.3923 d0.loss_bbox: 0.1495 d0.loss_iou: 0.3147 d1.loss_cls: 0.3716 d1.loss_bbox: 0.1385 d1.loss_iou: 0.3035 d2.loss_cls: 0.3649 d2.loss_bbox: 0.1351 d2.loss_iou: 0.2952 d3.loss_cls: 0.3640 d3.loss_bbox: 0.1315 d3.loss_iou: 0.2911 d4.loss_cls: 0.3588 d4.loss_bbox: 0.1305 d4.loss_iou: 0.2916 enc_loss_cls: 0.4037 enc_loss_bbox: 0.1625 enc_loss_iou: 0.3332 dn_loss_cls: 0.0961 dn_loss_bbox: 0.1426 dn_loss_iou: 0.2253 d0.dn_loss_cls: 0.1806 d0.dn_loss_bbox: 0.2942 d0.dn_loss_iou: 0.3770 d1.dn_loss_cls: 0.1290 d1.dn_loss_bbox: 0.1780 d1.dn_loss_iou: 0.2630 d2.dn_loss_cls: 0.1122 d2.dn_loss_bbox: 0.1535 d2.dn_loss_iou: 0.2376 d3.dn_loss_cls: 0.1022 d3.dn_loss_bbox: 0.1452 d3.dn_loss_iou: 0.2274 d4.dn_loss_cls: 0.0973 d4.dn_loss_bbox: 0.1424 d4.dn_loss_iou: 0.2252 d1.loss_lmm_region: 0.2392 loss_lmm_image: 0.9630 +2024/11/07 04:59:20 - mmengine - INFO - Iter(train) [ 5400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:14:02 time: 1.0134 data_time: 0.0169 memory: 23426 grad_norm: 24.9578 loss: 11.6456 loss_cls: 0.3977 loss_bbox: 0.1735 loss_iou: 0.3048 d0.loss_cls: 0.4255 d0.loss_bbox: 0.1905 d0.loss_iou: 0.3232 d1.loss_cls: 0.4050 d1.loss_bbox: 0.1793 d1.loss_iou: 0.3158 d2.loss_cls: 0.3954 d2.loss_bbox: 0.1766 d2.loss_iou: 0.3119 d3.loss_cls: 0.4033 d3.loss_bbox: 0.1743 d3.loss_iou: 0.3061 d4.loss_cls: 0.3972 d4.loss_bbox: 0.1790 d4.loss_iou: 0.3093 enc_loss_cls: 0.4340 enc_loss_bbox: 0.2026 enc_loss_iou: 0.3463 dn_loss_cls: 0.1176 dn_loss_bbox: 0.2012 dn_loss_iou: 0.2575 d0.dn_loss_cls: 0.2032 d0.dn_loss_bbox: 0.3506 d0.dn_loss_iou: 0.4148 d1.dn_loss_cls: 0.1493 d1.dn_loss_bbox: 0.2341 d1.dn_loss_iou: 0.2952 d2.dn_loss_cls: 0.1322 d2.dn_loss_bbox: 0.2107 d2.dn_loss_iou: 0.2681 d3.dn_loss_cls: 0.1211 d3.dn_loss_bbox: 0.2014 d3.dn_loss_iou: 0.2585 d4.dn_loss_cls: 0.1189 d4.dn_loss_bbox: 0.2010 d4.dn_loss_iou: 0.2576 d1.loss_lmm_region: 0.2612 loss_lmm_image: 1.0402 +2024/11/07 05:01:03 - mmengine - INFO - Iter(train) [ 5500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:12:29 time: 1.0404 data_time: 0.0167 memory: 23688 grad_norm: 21.6212 loss: 12.0712 loss_cls: 0.3930 loss_bbox: 0.1885 loss_iou: 0.3300 d0.loss_cls: 0.4422 d0.loss_bbox: 0.2033 d0.loss_iou: 0.3498 d1.loss_cls: 0.4129 d1.loss_bbox: 0.1972 d1.loss_iou: 0.3397 d2.loss_cls: 0.4093 d2.loss_bbox: 0.1887 d2.loss_iou: 0.3358 d3.loss_cls: 0.3986 d3.loss_bbox: 0.1903 d3.loss_iou: 0.3288 d4.loss_cls: 0.3956 d4.loss_bbox: 0.1883 d4.loss_iou: 0.3290 enc_loss_cls: 0.4598 enc_loss_bbox: 0.2270 enc_loss_iou: 0.3785 dn_loss_cls: 0.1420 dn_loss_bbox: 0.1942 dn_loss_iou: 0.2427 d0.dn_loss_cls: 0.2269 d0.dn_loss_bbox: 0.3663 d0.dn_loss_iou: 0.4015 d1.dn_loss_cls: 0.1783 d1.dn_loss_bbox: 0.2323 d1.dn_loss_iou: 0.2801 d2.dn_loss_cls: 0.1600 d2.dn_loss_bbox: 0.2017 d2.dn_loss_iou: 0.2515 d3.dn_loss_cls: 0.1484 d3.dn_loss_bbox: 0.1956 d3.dn_loss_iou: 0.2445 d4.dn_loss_cls: 0.1420 d4.dn_loss_bbox: 0.1945 d4.dn_loss_iou: 0.2428 d1.loss_lmm_region: 0.2998 loss_lmm_image: 1.0400 +2024/11/07 05:02:46 - mmengine - INFO - Iter(train) [ 5600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:10:33 time: 1.0189 data_time: 0.0168 memory: 22705 grad_norm: 22.3616 loss: 10.0700 loss_cls: 0.3368 loss_bbox: 0.1244 loss_iou: 0.2206 d0.loss_cls: 0.3667 d0.loss_bbox: 0.1419 d0.loss_iou: 0.2446 d1.loss_cls: 0.3533 d1.loss_bbox: 0.1309 d1.loss_iou: 0.2321 d2.loss_cls: 0.3464 d2.loss_bbox: 0.1269 d2.loss_iou: 0.2259 d3.loss_cls: 0.3425 d3.loss_bbox: 0.1232 d3.loss_iou: 0.2217 d4.loss_cls: 0.3396 d4.loss_bbox: 0.1233 d4.loss_iou: 0.2202 enc_loss_cls: 0.3796 enc_loss_bbox: 0.1560 enc_loss_iou: 0.2689 dn_loss_cls: 0.1303 dn_loss_bbox: 0.1851 dn_loss_iou: 0.2176 d0.dn_loss_cls: 0.2203 d0.dn_loss_bbox: 0.3672 d0.dn_loss_iou: 0.3803 d1.dn_loss_cls: 0.1639 d1.dn_loss_bbox: 0.2304 d1.dn_loss_iou: 0.2580 d2.dn_loss_cls: 0.1505 d2.dn_loss_bbox: 0.1988 d2.dn_loss_iou: 0.2288 d3.dn_loss_cls: 0.1367 d3.dn_loss_bbox: 0.1871 d3.dn_loss_iou: 0.2198 d4.dn_loss_cls: 0.1324 d4.dn_loss_bbox: 0.1851 d4.dn_loss_iou: 0.2174 d1.loss_lmm_region: 0.2779 loss_lmm_image: 0.9568 +2024/11/07 05:04:29 - mmengine - INFO - Iter(train) [ 5700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:09:09 time: 1.0249 data_time: 0.0168 memory: 23672 grad_norm: 21.4083 loss: 9.7537 loss_cls: 0.2898 loss_bbox: 0.1236 loss_iou: 0.2268 d0.loss_cls: 0.3120 d0.loss_bbox: 0.1398 d0.loss_iou: 0.2438 d1.loss_cls: 0.3043 d1.loss_bbox: 0.1285 d1.loss_iou: 0.2324 d2.loss_cls: 0.3011 d2.loss_bbox: 0.1219 d2.loss_iou: 0.2269 d3.loss_cls: 0.2970 d3.loss_bbox: 0.1238 d3.loss_iou: 0.2264 d4.loss_cls: 0.2925 d4.loss_bbox: 0.1233 d4.loss_iou: 0.2266 enc_loss_cls: 0.3331 enc_loss_bbox: 0.1502 enc_loss_iou: 0.2586 dn_loss_cls: 0.1266 dn_loss_bbox: 0.1912 dn_loss_iou: 0.2314 d0.dn_loss_cls: 0.2066 d0.dn_loss_bbox: 0.3911 d0.dn_loss_iou: 0.4062 d1.dn_loss_cls: 0.1575 d1.dn_loss_bbox: 0.2372 d1.dn_loss_iou: 0.2729 d2.dn_loss_cls: 0.1407 d2.dn_loss_bbox: 0.2019 d2.dn_loss_iou: 0.2412 d3.dn_loss_cls: 0.1339 d3.dn_loss_bbox: 0.1924 d3.dn_loss_iou: 0.2329 d4.dn_loss_cls: 0.1288 d4.dn_loss_bbox: 0.1911 d4.dn_loss_iou: 0.2315 d1.loss_lmm_region: 0.2043 loss_lmm_image: 0.9519 +2024/11/07 05:06:11 - mmengine - INFO - Iter(train) [ 5800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:07:08 time: 1.0285 data_time: 0.0167 memory: 24403 grad_norm: 24.3411 loss: 11.7269 loss_cls: 0.3942 loss_bbox: 0.1894 loss_iou: 0.3198 d0.loss_cls: 0.4359 d0.loss_bbox: 0.2006 d0.loss_iou: 0.3362 d1.loss_cls: 0.4199 d1.loss_bbox: 0.1900 d1.loss_iou: 0.3234 d2.loss_cls: 0.4059 d2.loss_bbox: 0.1846 d2.loss_iou: 0.3225 d3.loss_cls: 0.4038 d3.loss_bbox: 0.1874 d3.loss_iou: 0.3212 d4.loss_cls: 0.3978 d4.loss_bbox: 0.1898 d4.loss_iou: 0.3201 enc_loss_cls: 0.4505 enc_loss_bbox: 0.2047 enc_loss_iou: 0.3537 dn_loss_cls: 0.1159 dn_loss_bbox: 0.1993 dn_loss_iou: 0.2466 d0.dn_loss_cls: 0.2094 d0.dn_loss_bbox: 0.3573 d0.dn_loss_iou: 0.4004 d1.dn_loss_cls: 0.1549 d1.dn_loss_bbox: 0.2365 d1.dn_loss_iou: 0.2835 d2.dn_loss_cls: 0.1359 d2.dn_loss_bbox: 0.2081 d2.dn_loss_iou: 0.2557 d3.dn_loss_cls: 0.1235 d3.dn_loss_bbox: 0.2008 d3.dn_loss_iou: 0.2483 d4.dn_loss_cls: 0.1184 d4.dn_loss_bbox: 0.1994 d4.dn_loss_iou: 0.2465 d1.loss_lmm_region: 0.2471 loss_lmm_image: 0.9883 +2024/11/07 05:07:54 - mmengine - INFO - Iter(train) [ 5900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:05:41 time: 1.0275 data_time: 0.0169 memory: 24202 grad_norm: 22.8396 loss: 10.7194 loss_cls: 0.3292 loss_bbox: 0.1526 loss_iou: 0.2799 d0.loss_cls: 0.3624 d0.loss_bbox: 0.1654 d0.loss_iou: 0.2953 d1.loss_cls: 0.3451 d1.loss_bbox: 0.1585 d1.loss_iou: 0.2874 d2.loss_cls: 0.3383 d2.loss_bbox: 0.1550 d2.loss_iou: 0.2849 d3.loss_cls: 0.3336 d3.loss_bbox: 0.1524 d3.loss_iou: 0.2800 d4.loss_cls: 0.3301 d4.loss_bbox: 0.1519 d4.loss_iou: 0.2789 enc_loss_cls: 0.3815 enc_loss_bbox: 0.1818 enc_loss_iou: 0.3231 dn_loss_cls: 0.1172 dn_loss_bbox: 0.1910 dn_loss_iou: 0.2408 d0.dn_loss_cls: 0.2041 d0.dn_loss_bbox: 0.3710 d0.dn_loss_iou: 0.4045 d1.dn_loss_cls: 0.1487 d1.dn_loss_bbox: 0.2335 d1.dn_loss_iou: 0.2810 d2.dn_loss_cls: 0.1327 d2.dn_loss_bbox: 0.2006 d2.dn_loss_iou: 0.2520 d3.dn_loss_cls: 0.1222 d3.dn_loss_bbox: 0.1925 d3.dn_loss_iou: 0.2427 d4.dn_loss_cls: 0.1180 d4.dn_loss_bbox: 0.1910 d4.dn_loss_iou: 0.2408 d1.loss_lmm_region: 0.2601 loss_lmm_image: 1.0076 +2024/11/07 05:09:37 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/07 05:09:37 - mmengine - INFO - Iter(train) [ 6000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:04:08 time: 1.0373 data_time: 0.0167 memory: 23211 grad_norm: 23.3151 loss: 10.4873 loss_cls: 0.3378 loss_bbox: 0.1390 loss_iou: 0.2458 d0.loss_cls: 0.3862 d0.loss_bbox: 0.1514 d0.loss_iou: 0.2611 d1.loss_cls: 0.3624 d1.loss_bbox: 0.1467 d1.loss_iou: 0.2546 d2.loss_cls: 0.3514 d2.loss_bbox: 0.1428 d2.loss_iou: 0.2491 d3.loss_cls: 0.3427 d3.loss_bbox: 0.1410 d3.loss_iou: 0.2475 d4.loss_cls: 0.3383 d4.loss_bbox: 0.1392 d4.loss_iou: 0.2458 enc_loss_cls: 0.3951 enc_loss_bbox: 0.1720 enc_loss_iou: 0.2894 dn_loss_cls: 0.1006 dn_loss_bbox: 0.1957 dn_loss_iou: 0.2361 d0.dn_loss_cls: 0.2050 d0.dn_loss_bbox: 0.3788 d0.dn_loss_iou: 0.3979 d1.dn_loss_cls: 0.1431 d1.dn_loss_bbox: 0.2399 d1.dn_loss_iou: 0.2744 d2.dn_loss_cls: 0.1237 d2.dn_loss_bbox: 0.2057 d2.dn_loss_iou: 0.2458 d3.dn_loss_cls: 0.1077 d3.dn_loss_bbox: 0.1968 d3.dn_loss_iou: 0.2381 d4.dn_loss_cls: 0.1013 d4.dn_loss_bbox: 0.1957 d4.dn_loss_iou: 0.2361 d1.loss_lmm_region: 0.2731 loss_lmm_image: 1.0524 +2024/11/07 05:11:19 - mmengine - INFO - Iter(train) [ 6100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:02:07 time: 1.0088 data_time: 0.0167 memory: 24057 grad_norm: 24.0729 loss: 10.5001 loss_cls: 0.3478 loss_bbox: 0.1517 loss_iou: 0.2623 d0.loss_cls: 0.3842 d0.loss_bbox: 0.1623 d0.loss_iou: 0.2801 d1.loss_cls: 0.3614 d1.loss_bbox: 0.1519 d1.loss_iou: 0.2697 d2.loss_cls: 0.3527 d2.loss_bbox: 0.1515 d2.loss_iou: 0.2656 d3.loss_cls: 0.3533 d3.loss_bbox: 0.1483 d3.loss_iou: 0.2632 d4.loss_cls: 0.3474 d4.loss_bbox: 0.1529 d4.loss_iou: 0.2644 enc_loss_cls: 0.3930 enc_loss_bbox: 0.1798 enc_loss_iou: 0.3035 dn_loss_cls: 0.1185 dn_loss_bbox: 0.1737 dn_loss_iou: 0.2283 d0.dn_loss_cls: 0.2102 d0.dn_loss_bbox: 0.3197 d0.dn_loss_iou: 0.3865 d1.dn_loss_cls: 0.1536 d1.dn_loss_bbox: 0.2064 d1.dn_loss_iou: 0.2643 d2.dn_loss_cls: 0.1308 d2.dn_loss_bbox: 0.1822 d2.dn_loss_iou: 0.2383 d3.dn_loss_cls: 0.1238 d3.dn_loss_bbox: 0.1754 d3.dn_loss_iou: 0.2302 d4.dn_loss_cls: 0.1187 d4.dn_loss_bbox: 0.1737 d4.dn_loss_iou: 0.2282 d1.loss_lmm_region: 0.2579 loss_lmm_image: 1.0329 +2024/11/07 05:13:03 - mmengine - INFO - Iter(train) [ 6200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:00:43 time: 1.0322 data_time: 0.0171 memory: 23212 grad_norm: 22.3717 loss: 10.4504 loss_cls: 0.2983 loss_bbox: 0.1560 loss_iou: 0.2755 d0.loss_cls: 0.3407 d0.loss_bbox: 0.1709 d0.loss_iou: 0.2880 d1.loss_cls: 0.3159 d1.loss_bbox: 0.1602 d1.loss_iou: 0.2788 d2.loss_cls: 0.3082 d2.loss_bbox: 0.1581 d2.loss_iou: 0.2752 d3.loss_cls: 0.3031 d3.loss_bbox: 0.1555 d3.loss_iou: 0.2753 d4.loss_cls: 0.3017 d4.loss_bbox: 0.1555 d4.loss_iou: 0.2749 enc_loss_cls: 0.3555 enc_loss_bbox: 0.1803 enc_loss_iou: 0.3100 dn_loss_cls: 0.1063 dn_loss_bbox: 0.1981 dn_loss_iou: 0.2469 d0.dn_loss_cls: 0.2008 d0.dn_loss_bbox: 0.3794 d0.dn_loss_iou: 0.4103 d1.dn_loss_cls: 0.1382 d1.dn_loss_bbox: 0.2350 d1.dn_loss_iou: 0.2843 d2.dn_loss_cls: 0.1226 d2.dn_loss_bbox: 0.2081 d2.dn_loss_iou: 0.2565 d3.dn_loss_cls: 0.1123 d3.dn_loss_bbox: 0.1993 d3.dn_loss_iou: 0.2486 d4.dn_loss_cls: 0.1072 d4.dn_loss_bbox: 0.1980 d4.dn_loss_iou: 0.2470 d1.loss_lmm_region: 0.2409 loss_lmm_image: 0.9730 +2024/11/07 05:14:44 - mmengine - INFO - Iter(train) [ 6300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:58:34 time: 1.0196 data_time: 0.0168 memory: 23393 grad_norm: 23.0320 loss: 10.1140 loss_cls: 0.3116 loss_bbox: 0.1430 loss_iou: 0.2235 d0.loss_cls: 0.3617 d0.loss_bbox: 0.1480 d0.loss_iou: 0.2368 d1.loss_cls: 0.3413 d1.loss_bbox: 0.1468 d1.loss_iou: 0.2280 d2.loss_cls: 0.3288 d2.loss_bbox: 0.1436 d2.loss_iou: 0.2243 d3.loss_cls: 0.3195 d3.loss_bbox: 0.1460 d3.loss_iou: 0.2259 d4.loss_cls: 0.3113 d4.loss_bbox: 0.1444 d4.loss_iou: 0.2241 enc_loss_cls: 0.3835 enc_loss_bbox: 0.1613 enc_loss_iou: 0.2555 dn_loss_cls: 0.1230 dn_loss_bbox: 0.1952 dn_loss_iou: 0.2340 d0.dn_loss_cls: 0.2212 d0.dn_loss_bbox: 0.3437 d0.dn_loss_iou: 0.3803 d1.dn_loss_cls: 0.1582 d1.dn_loss_bbox: 0.2281 d1.dn_loss_iou: 0.2673 d2.dn_loss_cls: 0.1428 d2.dn_loss_bbox: 0.2019 d2.dn_loss_iou: 0.2423 d3.dn_loss_cls: 0.1300 d3.dn_loss_bbox: 0.1962 d3.dn_loss_iou: 0.2355 d4.dn_loss_cls: 0.1233 d4.dn_loss_bbox: 0.1951 d4.dn_loss_iou: 0.2340 d1.loss_lmm_region: 0.2569 loss_lmm_image: 0.9962 +2024/11/07 05:16:29 - mmengine - INFO - Iter(train) [ 6400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:57:30 time: 1.0316 data_time: 0.0167 memory: 24345 grad_norm: nan loss: 11.0548 loss_cls: 0.3640 loss_bbox: 0.1629 loss_iou: 0.2938 d0.loss_cls: 0.4092 d0.loss_bbox: 0.1779 d0.loss_iou: 0.3158 d1.loss_cls: 0.3871 d1.loss_bbox: 0.1640 d1.loss_iou: 0.2992 d2.loss_cls: 0.3713 d2.loss_bbox: 0.1610 d2.loss_iou: 0.2941 d3.loss_cls: 0.3712 d3.loss_bbox: 0.1580 d3.loss_iou: 0.2912 d4.loss_cls: 0.3680 d4.loss_bbox: 0.1610 d4.loss_iou: 0.2906 enc_loss_cls: 0.4221 enc_loss_bbox: 0.1983 enc_loss_iou: 0.3436 dn_loss_cls: 0.1085 dn_loss_bbox: 0.1930 dn_loss_iou: 0.2450 d0.dn_loss_cls: 0.1950 d0.dn_loss_bbox: 0.3537 d0.dn_loss_iou: 0.4052 d1.dn_loss_cls: 0.1363 d1.dn_loss_bbox: 0.2251 d1.dn_loss_iou: 0.2814 d2.dn_loss_cls: 0.1199 d2.dn_loss_bbox: 0.2027 d2.dn_loss_iou: 0.2557 d3.dn_loss_cls: 0.1133 d3.dn_loss_bbox: 0.1932 d3.dn_loss_iou: 0.2464 d4.dn_loss_cls: 0.1091 d4.dn_loss_bbox: 0.1931 d4.dn_loss_iou: 0.2451 d1.loss_lmm_region: 0.2337 loss_lmm_image: 0.9947 +2024/11/07 05:18:11 - mmengine - INFO - Iter(train) [ 6500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:55:53 time: 1.0391 data_time: 0.0168 memory: 24224 grad_norm: 28.2244 loss: 10.9280 loss_cls: 0.3817 loss_bbox: 0.1545 loss_iou: 0.3384 d0.loss_cls: 0.4207 d0.loss_bbox: 0.1635 d0.loss_iou: 0.3509 d1.loss_cls: 0.3975 d1.loss_bbox: 0.1582 d1.loss_iou: 0.3423 d2.loss_cls: 0.3895 d2.loss_bbox: 0.1554 d2.loss_iou: 0.3403 d3.loss_cls: 0.3852 d3.loss_bbox: 0.1547 d3.loss_iou: 0.3397 d4.loss_cls: 0.3847 d4.loss_bbox: 0.1528 d4.loss_iou: 0.3376 enc_loss_cls: 0.4320 enc_loss_bbox: 0.1805 enc_loss_iou: 0.3767 dn_loss_cls: 0.0964 dn_loss_bbox: 0.1481 dn_loss_iou: 0.2393 d0.dn_loss_cls: 0.1838 d0.dn_loss_bbox: 0.2966 d0.dn_loss_iou: 0.3856 d1.dn_loss_cls: 0.1289 d1.dn_loss_bbox: 0.1770 d1.dn_loss_iou: 0.2709 d2.dn_loss_cls: 0.1104 d2.dn_loss_bbox: 0.1571 d2.dn_loss_iou: 0.2475 d3.dn_loss_cls: 0.1009 d3.dn_loss_bbox: 0.1499 d3.dn_loss_iou: 0.2409 d4.dn_loss_cls: 0.0965 d4.dn_loss_bbox: 0.1479 d4.dn_loss_iou: 0.2392 d1.loss_lmm_region: 0.2299 loss_lmm_image: 0.9442 +2024/11/07 05:19:54 - mmengine - INFO - Iter(train) [ 6600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:54:10 time: 1.0181 data_time: 0.0169 memory: 23134 grad_norm: 24.7387 loss: 10.1097 loss_cls: 0.3574 loss_bbox: 0.1374 loss_iou: 0.2489 d0.loss_cls: 0.3883 d0.loss_bbox: 0.1569 d0.loss_iou: 0.2686 d1.loss_cls: 0.3757 d1.loss_bbox: 0.1449 d1.loss_iou: 0.2510 d2.loss_cls: 0.3620 d2.loss_bbox: 0.1418 d2.loss_iou: 0.2476 d3.loss_cls: 0.3574 d3.loss_bbox: 0.1410 d3.loss_iou: 0.2491 d4.loss_cls: 0.3589 d4.loss_bbox: 0.1365 d4.loss_iou: 0.2461 enc_loss_cls: 0.3978 enc_loss_bbox: 0.1692 enc_loss_iou: 0.2899 dn_loss_cls: 0.1237 dn_loss_bbox: 0.1516 dn_loss_iou: 0.1972 d0.dn_loss_cls: 0.2097 d0.dn_loss_bbox: 0.3154 d0.dn_loss_iou: 0.3551 d1.dn_loss_cls: 0.1568 d1.dn_loss_bbox: 0.1875 d1.dn_loss_iou: 0.2361 d2.dn_loss_cls: 0.1364 d2.dn_loss_bbox: 0.1587 d2.dn_loss_iou: 0.2061 d3.dn_loss_cls: 0.1256 d3.dn_loss_bbox: 0.1529 d3.dn_loss_iou: 0.1993 d4.dn_loss_cls: 0.1247 d4.dn_loss_bbox: 0.1517 d4.dn_loss_iou: 0.1972 d1.loss_lmm_region: 0.2473 loss_lmm_image: 1.0498 +2024/11/07 05:21:38 - mmengine - INFO - Iter(train) [ 6700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:52:57 time: 1.0448 data_time: 0.0169 memory: 23797 grad_norm: 28.1583 loss: 10.5178 loss_cls: 0.3295 loss_bbox: 0.1277 loss_iou: 0.2552 d0.loss_cls: 0.3552 d0.loss_bbox: 0.1479 d0.loss_iou: 0.2822 d1.loss_cls: 0.3447 d1.loss_bbox: 0.1373 d1.loss_iou: 0.2654 d2.loss_cls: 0.3344 d2.loss_bbox: 0.1321 d2.loss_iou: 0.2606 d3.loss_cls: 0.3330 d3.loss_bbox: 0.1278 d3.loss_iou: 0.2572 d4.loss_cls: 0.3280 d4.loss_bbox: 0.1286 d4.loss_iou: 0.2570 enc_loss_cls: 0.3668 enc_loss_bbox: 0.1634 enc_loss_iou: 0.3034 dn_loss_cls: 0.1270 dn_loss_bbox: 0.1980 dn_loss_iou: 0.2479 d0.dn_loss_cls: 0.2131 d0.dn_loss_bbox: 0.3905 d0.dn_loss_iou: 0.4317 d1.dn_loss_cls: 0.1549 d1.dn_loss_bbox: 0.2441 d1.dn_loss_iou: 0.2908 d2.dn_loss_cls: 0.1385 d2.dn_loss_bbox: 0.2096 d2.dn_loss_iou: 0.2584 d3.dn_loss_cls: 0.1317 d3.dn_loss_bbox: 0.1995 d3.dn_loss_iou: 0.2492 d4.dn_loss_cls: 0.1267 d4.dn_loss_bbox: 0.1980 d4.dn_loss_iou: 0.2477 d1.loss_lmm_region: 0.2452 loss_lmm_image: 0.9779 +2024/11/07 05:23:20 - mmengine - INFO - Iter(train) [ 6800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:50:57 time: 1.0161 data_time: 0.0168 memory: 23820 grad_norm: 22.9288 loss: 10.0592 loss_cls: 0.3310 loss_bbox: 0.1363 loss_iou: 0.2483 d0.loss_cls: 0.3555 d0.loss_bbox: 0.1559 d0.loss_iou: 0.2756 d1.loss_cls: 0.3406 d1.loss_bbox: 0.1460 d1.loss_iou: 0.2571 d2.loss_cls: 0.3347 d2.loss_bbox: 0.1406 d2.loss_iou: 0.2518 d3.loss_cls: 0.3319 d3.loss_bbox: 0.1385 d3.loss_iou: 0.2505 d4.loss_cls: 0.3286 d4.loss_bbox: 0.1383 d4.loss_iou: 0.2494 enc_loss_cls: 0.3680 enc_loss_bbox: 0.1729 enc_loss_iou: 0.2971 dn_loss_cls: 0.0964 dn_loss_bbox: 0.1733 dn_loss_iou: 0.2303 d0.dn_loss_cls: 0.1808 d0.dn_loss_bbox: 0.3318 d0.dn_loss_iou: 0.3842 d1.dn_loss_cls: 0.1280 d1.dn_loss_bbox: 0.2089 d1.dn_loss_iou: 0.2667 d2.dn_loss_cls: 0.1111 d2.dn_loss_bbox: 0.1824 d2.dn_loss_iou: 0.2390 d3.dn_loss_cls: 0.1040 d3.dn_loss_bbox: 0.1746 d3.dn_loss_iou: 0.2315 d4.dn_loss_cls: 0.0978 d4.dn_loss_bbox: 0.1735 d4.dn_loss_iou: 0.2303 d1.loss_lmm_region: 0.2620 loss_lmm_image: 1.0041 +2024/11/07 05:25:04 - mmengine - INFO - Iter(train) [ 6900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:49:47 time: 1.0388 data_time: 0.0169 memory: 23427 grad_norm: 26.7172 loss: 9.6720 loss_cls: 0.3091 loss_bbox: 0.1238 loss_iou: 0.2204 d0.loss_cls: 0.3450 d0.loss_bbox: 0.1318 d0.loss_iou: 0.2364 d1.loss_cls: 0.3248 d1.loss_bbox: 0.1267 d1.loss_iou: 0.2278 d2.loss_cls: 0.3117 d2.loss_bbox: 0.1253 d2.loss_iou: 0.2239 d3.loss_cls: 0.3136 d3.loss_bbox: 0.1221 d3.loss_iou: 0.2224 d4.loss_cls: 0.3109 d4.loss_bbox: 0.1230 d4.loss_iou: 0.2193 enc_loss_cls: 0.3565 enc_loss_bbox: 0.1528 enc_loss_iou: 0.2600 dn_loss_cls: 0.1404 dn_loss_bbox: 0.1642 dn_loss_iou: 0.2144 d0.dn_loss_cls: 0.2163 d0.dn_loss_bbox: 0.3117 d0.dn_loss_iou: 0.3689 d1.dn_loss_cls: 0.1666 d1.dn_loss_bbox: 0.1923 d1.dn_loss_iou: 0.2471 d2.dn_loss_cls: 0.1499 d2.dn_loss_bbox: 0.1717 d2.dn_loss_iou: 0.2228 d3.dn_loss_cls: 0.1461 d3.dn_loss_bbox: 0.1653 d3.dn_loss_iou: 0.2155 d4.dn_loss_cls: 0.1415 d4.dn_loss_bbox: 0.1641 d4.dn_loss_iou: 0.2141 d1.loss_lmm_region: 0.3073 loss_lmm_image: 0.9646 +2024/11/07 05:26:46 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/07 05:26:46 - mmengine - INFO - Iter(train) [ 7000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:47:51 time: 1.0112 data_time: 0.0168 memory: 23402 grad_norm: 23.2344 loss: 10.3677 loss_cls: 0.3495 loss_bbox: 0.1476 loss_iou: 0.2759 d0.loss_cls: 0.3996 d0.loss_bbox: 0.1648 d0.loss_iou: 0.2948 d1.loss_cls: 0.3774 d1.loss_bbox: 0.1504 d1.loss_iou: 0.2803 d2.loss_cls: 0.3648 d2.loss_bbox: 0.1475 d2.loss_iou: 0.2760 d3.loss_cls: 0.3597 d3.loss_bbox: 0.1440 d3.loss_iou: 0.2724 d4.loss_cls: 0.3543 d4.loss_bbox: 0.1446 d4.loss_iou: 0.2756 enc_loss_cls: 0.4135 enc_loss_bbox: 0.1763 enc_loss_iou: 0.3166 dn_loss_cls: 0.0955 dn_loss_bbox: 0.1595 dn_loss_iou: 0.2196 d0.dn_loss_cls: 0.1917 d0.dn_loss_bbox: 0.3391 d0.dn_loss_iou: 0.3861 d1.dn_loss_cls: 0.1310 d1.dn_loss_bbox: 0.2014 d1.dn_loss_iou: 0.2608 d2.dn_loss_cls: 0.1119 d2.dn_loss_bbox: 0.1714 d2.dn_loss_iou: 0.2313 d3.dn_loss_cls: 0.1004 d3.dn_loss_bbox: 0.1614 d3.dn_loss_iou: 0.2213 d4.dn_loss_cls: 0.0965 d4.dn_loss_bbox: 0.1596 d4.dn_loss_iou: 0.2195 d1.loss_lmm_region: 0.2436 loss_lmm_image: 0.9805 +2024/11/07 05:28:30 - mmengine - INFO - Iter(train) [ 7100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:46:21 time: 1.0190 data_time: 0.0167 memory: 24018 grad_norm: 27.3307 loss: 11.2580 loss_cls: 0.4055 loss_bbox: 0.1643 loss_iou: 0.2962 d0.loss_cls: 0.4341 d0.loss_bbox: 0.1763 d0.loss_iou: 0.3179 d1.loss_cls: 0.4250 d1.loss_bbox: 0.1670 d1.loss_iou: 0.3032 d2.loss_cls: 0.4115 d2.loss_bbox: 0.1663 d2.loss_iou: 0.2959 d3.loss_cls: 0.4102 d3.loss_bbox: 0.1630 d3.loss_iou: 0.2937 d4.loss_cls: 0.4027 d4.loss_bbox: 0.1649 d4.loss_iou: 0.2957 enc_loss_cls: 0.4619 enc_loss_bbox: 0.1908 enc_loss_iou: 0.3364 dn_loss_cls: 0.1202 dn_loss_bbox: 0.1838 dn_loss_iou: 0.2324 d0.dn_loss_cls: 0.2099 d0.dn_loss_bbox: 0.3384 d0.dn_loss_iou: 0.3791 d1.dn_loss_cls: 0.1546 d1.dn_loss_bbox: 0.2183 d1.dn_loss_iou: 0.2661 d2.dn_loss_cls: 0.1374 d2.dn_loss_bbox: 0.1924 d2.dn_loss_iou: 0.2421 d3.dn_loss_cls: 0.1260 d3.dn_loss_bbox: 0.1854 d3.dn_loss_iou: 0.2340 d4.dn_loss_cls: 0.1220 d4.dn_loss_bbox: 0.1838 d4.dn_loss_iou: 0.2324 d1.loss_lmm_region: 0.2433 loss_lmm_image: 0.9740 +2024/11/07 05:30:13 - mmengine - INFO - Iter(train) [ 7200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:44:54 time: 1.0530 data_time: 0.0167 memory: 23902 grad_norm: 24.6196 loss: 11.5495 loss_cls: 0.3809 loss_bbox: 0.1694 loss_iou: 0.3346 d0.loss_cls: 0.4239 d0.loss_bbox: 0.1845 d0.loss_iou: 0.3501 d1.loss_cls: 0.3964 d1.loss_bbox: 0.1743 d1.loss_iou: 0.3421 d2.loss_cls: 0.3938 d2.loss_bbox: 0.1674 d2.loss_iou: 0.3346 d3.loss_cls: 0.3843 d3.loss_bbox: 0.1663 d3.loss_iou: 0.3350 d4.loss_cls: 0.3812 d4.loss_bbox: 0.1705 d4.loss_iou: 0.3361 enc_loss_cls: 0.4301 enc_loss_bbox: 0.1991 enc_loss_iou: 0.3789 dn_loss_cls: 0.1006 dn_loss_bbox: 0.2019 dn_loss_iou: 0.2653 d0.dn_loss_cls: 0.2002 d0.dn_loss_bbox: 0.3652 d0.dn_loss_iou: 0.4168 d1.dn_loss_cls: 0.1370 d1.dn_loss_bbox: 0.2409 d1.dn_loss_iou: 0.3017 d2.dn_loss_cls: 0.1165 d2.dn_loss_bbox: 0.2102 d2.dn_loss_iou: 0.2727 d3.dn_loss_cls: 0.1067 d3.dn_loss_bbox: 0.2014 d3.dn_loss_iou: 0.2650 d4.dn_loss_cls: 0.1021 d4.dn_loss_bbox: 0.2019 d4.dn_loss_iou: 0.2650 d1.loss_lmm_region: 0.2198 loss_lmm_image: 0.9253 +2024/11/07 05:31:57 - mmengine - INFO - Iter(train) [ 7300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:43:25 time: 1.0221 data_time: 0.0168 memory: 22937 grad_norm: 24.0159 loss: 9.5685 loss_cls: 0.3057 loss_bbox: 0.1218 loss_iou: 0.2362 d0.loss_cls: 0.3318 d0.loss_bbox: 0.1407 d0.loss_iou: 0.2593 d1.loss_cls: 0.3221 d1.loss_bbox: 0.1280 d1.loss_iou: 0.2439 d2.loss_cls: 0.3087 d2.loss_bbox: 0.1224 d2.loss_iou: 0.2383 d3.loss_cls: 0.3056 d3.loss_bbox: 0.1220 d3.loss_iou: 0.2362 d4.loss_cls: 0.3055 d4.loss_bbox: 0.1216 d4.loss_iou: 0.2361 enc_loss_cls: 0.3536 enc_loss_bbox: 0.1491 enc_loss_iou: 0.2752 dn_loss_cls: 0.1170 dn_loss_bbox: 0.1675 dn_loss_iou: 0.2204 d0.dn_loss_cls: 0.2008 d0.dn_loss_bbox: 0.3160 d0.dn_loss_iou: 0.3709 d1.dn_loss_cls: 0.1448 d1.dn_loss_bbox: 0.1977 d1.dn_loss_iou: 0.2554 d2.dn_loss_cls: 0.1288 d2.dn_loss_bbox: 0.1738 d2.dn_loss_iou: 0.2290 d3.dn_loss_cls: 0.1221 d3.dn_loss_bbox: 0.1679 d3.dn_loss_iou: 0.2214 d4.dn_loss_cls: 0.1185 d4.dn_loss_bbox: 0.1675 d4.dn_loss_iou: 0.2202 d1.loss_lmm_region: 0.2378 loss_lmm_image: 0.9272 +2024/11/07 05:33:40 - mmengine - INFO - Iter(train) [ 7400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:41:50 time: 1.0363 data_time: 0.0167 memory: 23553 grad_norm: 22.2601 loss: 9.8302 loss_cls: 0.3458 loss_bbox: 0.1243 loss_iou: 0.2561 d0.loss_cls: 0.3847 d0.loss_bbox: 0.1361 d0.loss_iou: 0.2720 d1.loss_cls: 0.3623 d1.loss_bbox: 0.1305 d1.loss_iou: 0.2653 d2.loss_cls: 0.3591 d2.loss_bbox: 0.1264 d2.loss_iou: 0.2575 d3.loss_cls: 0.3510 d3.loss_bbox: 0.1232 d3.loss_iou: 0.2554 d4.loss_cls: 0.3445 d4.loss_bbox: 0.1257 d4.loss_iou: 0.2577 enc_loss_cls: 0.3914 enc_loss_bbox: 0.1589 enc_loss_iou: 0.3009 dn_loss_cls: 0.1078 dn_loss_bbox: 0.1501 dn_loss_iou: 0.2108 d0.dn_loss_cls: 0.1879 d0.dn_loss_bbox: 0.2881 d0.dn_loss_iou: 0.3538 d1.dn_loss_cls: 0.1354 d1.dn_loss_bbox: 0.1830 d1.dn_loss_iou: 0.2428 d2.dn_loss_cls: 0.1197 d2.dn_loss_bbox: 0.1572 d2.dn_loss_iou: 0.2190 d3.dn_loss_cls: 0.1101 d3.dn_loss_bbox: 0.1508 d3.dn_loss_iou: 0.2121 d4.dn_loss_cls: 0.1080 d4.dn_loss_bbox: 0.1502 d4.dn_loss_iou: 0.2109 d1.loss_lmm_region: 0.2486 loss_lmm_image: 0.9554 +2024/11/07 05:35:23 - mmengine - INFO - Iter(train) [ 7500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:40:14 time: 1.0299 data_time: 0.0169 memory: 23934 grad_norm: 22.5300 loss: 9.8343 loss_cls: 0.3194 loss_bbox: 0.1418 loss_iou: 0.2265 d0.loss_cls: 0.3560 d0.loss_bbox: 0.1565 d0.loss_iou: 0.2478 d1.loss_cls: 0.3409 d1.loss_bbox: 0.1445 d1.loss_iou: 0.2302 d2.loss_cls: 0.3328 d2.loss_bbox: 0.1422 d2.loss_iou: 0.2265 d3.loss_cls: 0.3239 d3.loss_bbox: 0.1432 d3.loss_iou: 0.2273 d4.loss_cls: 0.3208 d4.loss_bbox: 0.1423 d4.loss_iou: 0.2267 enc_loss_cls: 0.3700 enc_loss_bbox: 0.1765 enc_loss_iou: 0.2738 dn_loss_cls: 0.1145 dn_loss_bbox: 0.1801 dn_loss_iou: 0.2068 d0.dn_loss_cls: 0.2012 d0.dn_loss_bbox: 0.3518 d0.dn_loss_iou: 0.3564 d1.dn_loss_cls: 0.1455 d1.dn_loss_bbox: 0.2194 d1.dn_loss_iou: 0.2424 d2.dn_loss_cls: 0.1301 d2.dn_loss_bbox: 0.1905 d2.dn_loss_iou: 0.2157 d3.dn_loss_cls: 0.1190 d3.dn_loss_bbox: 0.1812 d3.dn_loss_iou: 0.2076 d4.dn_loss_cls: 0.1159 d4.dn_loss_bbox: 0.1800 d4.dn_loss_iou: 0.2067 d1.loss_lmm_region: 0.2117 loss_lmm_image: 0.9883 +2024/11/07 05:37:06 - mmengine - INFO - Iter(train) [ 7600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:38:37 time: 1.0303 data_time: 0.0168 memory: 24170 grad_norm: 23.7470 loss: 10.1699 loss_cls: 0.2855 loss_bbox: 0.1358 loss_iou: 0.2432 d0.loss_cls: 0.3074 d0.loss_bbox: 0.1558 d0.loss_iou: 0.2658 d1.loss_cls: 0.2892 d1.loss_bbox: 0.1448 d1.loss_iou: 0.2557 d2.loss_cls: 0.2879 d2.loss_bbox: 0.1381 d2.loss_iou: 0.2471 d3.loss_cls: 0.2892 d3.loss_bbox: 0.1355 d3.loss_iou: 0.2428 d4.loss_cls: 0.2854 d4.loss_bbox: 0.1369 d4.loss_iou: 0.2445 enc_loss_cls: 0.3245 enc_loss_bbox: 0.1667 enc_loss_iou: 0.2840 dn_loss_cls: 0.1181 dn_loss_bbox: 0.2085 dn_loss_iou: 0.2546 d0.dn_loss_cls: 0.2050 d0.dn_loss_bbox: 0.3939 d0.dn_loss_iou: 0.4305 d1.dn_loss_cls: 0.1491 d1.dn_loss_bbox: 0.2514 d1.dn_loss_iou: 0.2960 d2.dn_loss_cls: 0.1329 d2.dn_loss_bbox: 0.2198 d2.dn_loss_iou: 0.2649 d3.dn_loss_cls: 0.1244 d3.dn_loss_bbox: 0.2104 d3.dn_loss_iou: 0.2562 d4.dn_loss_cls: 0.1195 d4.dn_loss_bbox: 0.2084 d4.dn_loss_iou: 0.2546 d1.loss_lmm_region: 0.2467 loss_lmm_image: 0.9595 +2024/11/07 05:38:48 - mmengine - INFO - Iter(train) [ 7700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:36:44 time: 1.0281 data_time: 0.0168 memory: 23656 grad_norm: 22.1768 loss: 11.5326 loss_cls: 0.3587 loss_bbox: 0.1682 loss_iou: 0.3098 d0.loss_cls: 0.4021 d0.loss_bbox: 0.1742 d0.loss_iou: 0.3172 d1.loss_cls: 0.3746 d1.loss_bbox: 0.1754 d1.loss_iou: 0.3126 d2.loss_cls: 0.3696 d2.loss_bbox: 0.1690 d2.loss_iou: 0.3092 d3.loss_cls: 0.3611 d3.loss_bbox: 0.1674 d3.loss_iou: 0.3089 d4.loss_cls: 0.3570 d4.loss_bbox: 0.1682 d4.loss_iou: 0.3099 enc_loss_cls: 0.4230 enc_loss_bbox: 0.1971 enc_loss_iou: 0.3443 dn_loss_cls: 0.1412 dn_loss_bbox: 0.2036 dn_loss_iou: 0.2576 d0.dn_loss_cls: 0.2391 d0.dn_loss_bbox: 0.3800 d0.dn_loss_iou: 0.4276 d1.dn_loss_cls: 0.1793 d1.dn_loss_bbox: 0.2420 d1.dn_loss_iou: 0.2986 d2.dn_loss_cls: 0.1590 d2.dn_loss_bbox: 0.2107 d2.dn_loss_iou: 0.2667 d3.dn_loss_cls: 0.1492 d3.dn_loss_bbox: 0.2056 d3.dn_loss_iou: 0.2591 d4.dn_loss_cls: 0.1418 d4.dn_loss_bbox: 0.2037 d4.dn_loss_iou: 0.2577 d1.loss_lmm_region: 0.2575 loss_lmm_image: 0.9750 +2024/11/07 05:40:32 - mmengine - INFO - Iter(train) [ 7800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:35:20 time: 1.0345 data_time: 0.0169 memory: 23943 grad_norm: nan loss: 11.1584 loss_cls: 0.3580 loss_bbox: 0.1559 loss_iou: 0.2954 d0.loss_cls: 0.3880 d0.loss_bbox: 0.1808 d0.loss_iou: 0.3289 d1.loss_cls: 0.3698 d1.loss_bbox: 0.1652 d1.loss_iou: 0.3069 d2.loss_cls: 0.3670 d2.loss_bbox: 0.1542 d2.loss_iou: 0.2972 d3.loss_cls: 0.3586 d3.loss_bbox: 0.1575 d3.loss_iou: 0.2965 d4.loss_cls: 0.3592 d4.loss_bbox: 0.1557 d4.loss_iou: 0.2959 enc_loss_cls: 0.4073 enc_loss_bbox: 0.1865 enc_loss_iou: 0.3481 dn_loss_cls: 0.1285 dn_loss_bbox: 0.1828 dn_loss_iou: 0.2600 d0.dn_loss_cls: 0.2256 d0.dn_loss_bbox: 0.3556 d0.dn_loss_iou: 0.4396 d1.dn_loss_cls: 0.1605 d1.dn_loss_bbox: 0.2209 d1.dn_loss_iou: 0.3019 d2.dn_loss_cls: 0.1431 d2.dn_loss_bbox: 0.1940 d2.dn_loss_iou: 0.2723 d3.dn_loss_cls: 0.1339 d3.dn_loss_bbox: 0.1844 d3.dn_loss_iou: 0.2620 d4.dn_loss_cls: 0.1271 d4.dn_loss_bbox: 0.1828 d4.dn_loss_iou: 0.2600 d1.loss_lmm_region: 0.2413 loss_lmm_image: 0.9498 +2024/11/07 05:42:14 - mmengine - INFO - Iter(train) [ 7900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:33:25 time: 1.0347 data_time: 0.0169 memory: 23131 grad_norm: 21.8011 loss: 9.7006 loss_cls: 0.3042 loss_bbox: 0.1267 loss_iou: 0.2265 d0.loss_cls: 0.3344 d0.loss_bbox: 0.1403 d0.loss_iou: 0.2426 d1.loss_cls: 0.3178 d1.loss_bbox: 0.1308 d1.loss_iou: 0.2308 d2.loss_cls: 0.3136 d2.loss_bbox: 0.1273 d2.loss_iou: 0.2264 d3.loss_cls: 0.3098 d3.loss_bbox: 0.1265 d3.loss_iou: 0.2259 d4.loss_cls: 0.3059 d4.loss_bbox: 0.1271 d4.loss_iou: 0.2265 enc_loss_cls: 0.3526 enc_loss_bbox: 0.1537 enc_loss_iou: 0.2621 dn_loss_cls: 0.1246 dn_loss_bbox: 0.1817 dn_loss_iou: 0.2171 d0.dn_loss_cls: 0.2037 d0.dn_loss_bbox: 0.3284 d0.dn_loss_iou: 0.3628 d1.dn_loss_cls: 0.1496 d1.dn_loss_bbox: 0.2161 d1.dn_loss_iou: 0.2502 d2.dn_loss_cls: 0.1358 d2.dn_loss_bbox: 0.1903 d2.dn_loss_iou: 0.2248 d3.dn_loss_cls: 0.1276 d3.dn_loss_bbox: 0.1833 d3.dn_loss_iou: 0.2182 d4.dn_loss_cls: 0.1242 d4.dn_loss_bbox: 0.1818 d4.dn_loss_iou: 0.2170 d1.loss_lmm_region: 0.2372 loss_lmm_image: 1.0148 +2024/11/07 05:43:57 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/07 05:43:57 - mmengine - INFO - Iter(train) [ 8000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:31:41 time: 1.0148 data_time: 0.0170 memory: 24415 grad_norm: 26.8434 loss: 10.6098 loss_cls: 0.3317 loss_bbox: 0.1558 loss_iou: 0.2671 d0.loss_cls: 0.3668 d0.loss_bbox: 0.1706 d0.loss_iou: 0.2860 d1.loss_cls: 0.3509 d1.loss_bbox: 0.1552 d1.loss_iou: 0.2685 d2.loss_cls: 0.3417 d2.loss_bbox: 0.1532 d2.loss_iou: 0.2663 d3.loss_cls: 0.3356 d3.loss_bbox: 0.1545 d3.loss_iou: 0.2671 d4.loss_cls: 0.3353 d4.loss_bbox: 0.1542 d4.loss_iou: 0.2676 enc_loss_cls: 0.3867 enc_loss_bbox: 0.1872 enc_loss_iou: 0.3108 dn_loss_cls: 0.1187 dn_loss_bbox: 0.1926 dn_loss_iou: 0.2415 d0.dn_loss_cls: 0.2027 d0.dn_loss_bbox: 0.3490 d0.dn_loss_iou: 0.3967 d1.dn_loss_cls: 0.1488 d1.dn_loss_bbox: 0.2281 d1.dn_loss_iou: 0.2775 d2.dn_loss_cls: 0.1346 d2.dn_loss_bbox: 0.2010 d2.dn_loss_iou: 0.2502 d3.dn_loss_cls: 0.1237 d3.dn_loss_bbox: 0.1941 d3.dn_loss_iou: 0.2429 d4.dn_loss_cls: 0.1194 d4.dn_loss_bbox: 0.1925 d4.dn_loss_iou: 0.2413 d1.loss_lmm_region: 0.2274 loss_lmm_image: 1.0143 +2024/11/07 05:45:40 - mmengine - INFO - Iter(train) [ 8100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:30:13 time: 1.0429 data_time: 0.0169 memory: 23999 grad_norm: 24.2443 loss: 9.9447 loss_cls: 0.3326 loss_bbox: 0.1219 loss_iou: 0.2313 d0.loss_cls: 0.3667 d0.loss_bbox: 0.1307 d0.loss_iou: 0.2419 d1.loss_cls: 0.3481 d1.loss_bbox: 0.1257 d1.loss_iou: 0.2365 d2.loss_cls: 0.3399 d2.loss_bbox: 0.1250 d2.loss_iou: 0.2350 d3.loss_cls: 0.3393 d3.loss_bbox: 0.1229 d3.loss_iou: 0.2322 d4.loss_cls: 0.3327 d4.loss_bbox: 0.1233 d4.loss_iou: 0.2332 enc_loss_cls: 0.3718 enc_loss_bbox: 0.1505 enc_loss_iou: 0.2652 dn_loss_cls: 0.1259 dn_loss_bbox: 0.1759 dn_loss_iou: 0.2302 d0.dn_loss_cls: 0.2093 d0.dn_loss_bbox: 0.3259 d0.dn_loss_iou: 0.3802 d1.dn_loss_cls: 0.1508 d1.dn_loss_bbox: 0.2067 d1.dn_loss_iou: 0.2639 d2.dn_loss_cls: 0.1379 d2.dn_loss_bbox: 0.1854 d2.dn_loss_iou: 0.2389 d3.dn_loss_cls: 0.1308 d3.dn_loss_bbox: 0.1776 d3.dn_loss_iou: 0.2318 d4.dn_loss_cls: 0.1268 d4.dn_loss_bbox: 0.1759 d4.dn_loss_iou: 0.2303 d1.loss_lmm_region: 0.2559 loss_lmm_image: 0.9785 +2024/11/07 05:47:23 - mmengine - INFO - Iter(train) [ 8200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:28:22 time: 1.0260 data_time: 0.0168 memory: 24253 grad_norm: 25.5539 loss: 10.3336 loss_cls: 0.3194 loss_bbox: 0.1412 loss_iou: 0.2623 d0.loss_cls: 0.3520 d0.loss_bbox: 0.1505 d0.loss_iou: 0.2761 d1.loss_cls: 0.3281 d1.loss_bbox: 0.1497 d1.loss_iou: 0.2707 d2.loss_cls: 0.3255 d2.loss_bbox: 0.1470 d2.loss_iou: 0.2657 d3.loss_cls: 0.3209 d3.loss_bbox: 0.1445 d3.loss_iou: 0.2644 d4.loss_cls: 0.3234 d4.loss_bbox: 0.1398 d4.loss_iou: 0.2623 enc_loss_cls: 0.3626 enc_loss_bbox: 0.1678 enc_loss_iou: 0.3004 dn_loss_cls: 0.1071 dn_loss_bbox: 0.1858 dn_loss_iou: 0.2493 d0.dn_loss_cls: 0.1970 d0.dn_loss_bbox: 0.3488 d0.dn_loss_iou: 0.4140 d1.dn_loss_cls: 0.1413 d1.dn_loss_bbox: 0.2283 d1.dn_loss_iou: 0.2899 d2.dn_loss_cls: 0.1227 d2.dn_loss_bbox: 0.1978 d2.dn_loss_iou: 0.2600 d3.dn_loss_cls: 0.1130 d3.dn_loss_bbox: 0.1880 d3.dn_loss_iou: 0.2506 d4.dn_loss_cls: 0.1082 d4.dn_loss_bbox: 0.1858 d4.dn_loss_iou: 0.2494 d1.loss_lmm_region: 0.2437 loss_lmm_image: 0.9787 +2024/11/07 05:49:05 - mmengine - INFO - Iter(train) [ 8300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:26:35 time: 1.0268 data_time: 0.0167 memory: 23701 grad_norm: 24.7403 loss: 10.1551 loss_cls: 0.2942 loss_bbox: 0.1438 loss_iou: 0.2488 d0.loss_cls: 0.3256 d0.loss_bbox: 0.1574 d0.loss_iou: 0.2639 d1.loss_cls: 0.3083 d1.loss_bbox: 0.1483 d1.loss_iou: 0.2539 d2.loss_cls: 0.3024 d2.loss_bbox: 0.1444 d2.loss_iou: 0.2505 d3.loss_cls: 0.2994 d3.loss_bbox: 0.1437 d3.loss_iou: 0.2475 d4.loss_cls: 0.2944 d4.loss_bbox: 0.1441 d4.loss_iou: 0.2496 enc_loss_cls: 0.3436 enc_loss_bbox: 0.1646 enc_loss_iou: 0.2779 dn_loss_cls: 0.1093 dn_loss_bbox: 0.2113 dn_loss_iou: 0.2424 d0.dn_loss_cls: 0.2073 d0.dn_loss_bbox: 0.4003 d0.dn_loss_iou: 0.4048 d1.dn_loss_cls: 0.1450 d1.dn_loss_bbox: 0.2534 d1.dn_loss_iou: 0.2807 d2.dn_loss_cls: 0.1278 d2.dn_loss_bbox: 0.2223 d2.dn_loss_iou: 0.2522 d3.dn_loss_cls: 0.1144 d3.dn_loss_bbox: 0.2133 d3.dn_loss_iou: 0.2443 d4.dn_loss_cls: 0.1106 d4.dn_loss_bbox: 0.2113 d4.dn_loss_iou: 0.2423 d1.loss_lmm_region: 0.2348 loss_lmm_image: 0.9211 +2024/11/07 05:50:46 - mmengine - INFO - Iter(train) [ 8400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:24:27 time: 1.0182 data_time: 0.0166 memory: 22900 grad_norm: 22.3679 loss: 10.8562 loss_cls: 0.3446 loss_bbox: 0.1610 loss_iou: 0.2758 d0.loss_cls: 0.3885 d0.loss_bbox: 0.1862 d0.loss_iou: 0.2996 d1.loss_cls: 0.3714 d1.loss_bbox: 0.1676 d1.loss_iou: 0.2788 d2.loss_cls: 0.3576 d2.loss_bbox: 0.1646 d2.loss_iou: 0.2783 d3.loss_cls: 0.3525 d3.loss_bbox: 0.1595 d3.loss_iou: 0.2758 d4.loss_cls: 0.3432 d4.loss_bbox: 0.1628 d4.loss_iou: 0.2763 enc_loss_cls: 0.4101 enc_loss_bbox: 0.2020 enc_loss_iou: 0.3251 dn_loss_cls: 0.1208 dn_loss_bbox: 0.1904 dn_loss_iou: 0.2392 d0.dn_loss_cls: 0.2016 d0.dn_loss_bbox: 0.3471 d0.dn_loss_iou: 0.3843 d1.dn_loss_cls: 0.1490 d1.dn_loss_bbox: 0.2287 d1.dn_loss_iou: 0.2739 d2.dn_loss_cls: 0.1361 d2.dn_loss_bbox: 0.2010 d2.dn_loss_iou: 0.2479 d3.dn_loss_cls: 0.1247 d3.dn_loss_bbox: 0.1919 d3.dn_loss_iou: 0.2408 d4.dn_loss_cls: 0.1207 d4.dn_loss_bbox: 0.1904 d4.dn_loss_iou: 0.2393 d1.loss_lmm_region: 0.2607 loss_lmm_image: 0.9864 +2024/11/07 05:52:30 - mmengine - INFO - Iter(train) [ 8500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:23:05 time: 1.0255 data_time: 0.0166 memory: 23575 grad_norm: 25.0199 loss: 10.5186 loss_cls: 0.3159 loss_bbox: 0.1610 loss_iou: 0.2774 d0.loss_cls: 0.3446 d0.loss_bbox: 0.1728 d0.loss_iou: 0.2910 d1.loss_cls: 0.3296 d1.loss_bbox: 0.1630 d1.loss_iou: 0.2802 d2.loss_cls: 0.3223 d2.loss_bbox: 0.1620 d2.loss_iou: 0.2790 d3.loss_cls: 0.3194 d3.loss_bbox: 0.1603 d3.loss_iou: 0.2767 d4.loss_cls: 0.3163 d4.loss_bbox: 0.1601 d4.loss_iou: 0.2754 enc_loss_cls: 0.3604 enc_loss_bbox: 0.1854 enc_loss_iou: 0.3135 dn_loss_cls: 0.1075 dn_loss_bbox: 0.2042 dn_loss_iou: 0.2458 d0.dn_loss_cls: 0.1935 d0.dn_loss_bbox: 0.3730 d0.dn_loss_iou: 0.4067 d1.dn_loss_cls: 0.1417 d1.dn_loss_bbox: 0.2459 d1.dn_loss_iou: 0.2834 d2.dn_loss_cls: 0.1241 d2.dn_loss_bbox: 0.2142 d2.dn_loss_iou: 0.2555 d3.dn_loss_cls: 0.1126 d3.dn_loss_bbox: 0.2052 d3.dn_loss_iou: 0.2468 d4.dn_loss_cls: 0.1083 d4.dn_loss_bbox: 0.2042 d4.dn_loss_iou: 0.2457 d1.loss_lmm_region: 0.2074 loss_lmm_image: 0.9264 +2024/11/07 05:54:14 - mmengine - INFO - Iter(train) [ 8600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:21:39 time: 1.0471 data_time: 0.0166 memory: 23636 grad_norm: 20.8578 loss: 9.7146 loss_cls: 0.3430 loss_bbox: 0.1244 loss_iou: 0.2246 d0.loss_cls: 0.3751 d0.loss_bbox: 0.1360 d0.loss_iou: 0.2453 d1.loss_cls: 0.3655 d1.loss_bbox: 0.1240 d1.loss_iou: 0.2263 d2.loss_cls: 0.3539 d2.loss_bbox: 0.1231 d2.loss_iou: 0.2254 d3.loss_cls: 0.3501 d3.loss_bbox: 0.1209 d3.loss_iou: 0.2241 d4.loss_cls: 0.3427 d4.loss_bbox: 0.1246 d4.loss_iou: 0.2248 enc_loss_cls: 0.3912 enc_loss_bbox: 0.1540 enc_loss_iou: 0.2630 dn_loss_cls: 0.1242 dn_loss_bbox: 0.1514 dn_loss_iou: 0.2073 d0.dn_loss_cls: 0.2067 d0.dn_loss_bbox: 0.3036 d0.dn_loss_iou: 0.3600 d1.dn_loss_cls: 0.1607 d1.dn_loss_bbox: 0.1913 d1.dn_loss_iou: 0.2457 d2.dn_loss_cls: 0.1447 d2.dn_loss_bbox: 0.1618 d2.dn_loss_iou: 0.2183 d3.dn_loss_cls: 0.1305 d3.dn_loss_bbox: 0.1527 d3.dn_loss_iou: 0.2089 d4.dn_loss_cls: 0.1251 d4.dn_loss_bbox: 0.1513 d4.dn_loss_iou: 0.2071 d1.loss_lmm_region: 0.2133 loss_lmm_image: 0.9878 +2024/11/07 05:55:56 - mmengine - INFO - Iter(train) [ 8700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:19:38 time: 1.0131 data_time: 0.0168 memory: 22943 grad_norm: 25.4790 loss: 10.9465 loss_cls: 0.3292 loss_bbox: 0.1580 loss_iou: 0.3027 d0.loss_cls: 0.3744 d0.loss_bbox: 0.1701 d0.loss_iou: 0.3157 d1.loss_cls: 0.3506 d1.loss_bbox: 0.1610 d1.loss_iou: 0.3052 d2.loss_cls: 0.3365 d2.loss_bbox: 0.1607 d2.loss_iou: 0.3028 d3.loss_cls: 0.3358 d3.loss_bbox: 0.1565 d3.loss_iou: 0.3020 d4.loss_cls: 0.3313 d4.loss_bbox: 0.1583 d4.loss_iou: 0.3029 enc_loss_cls: 0.3870 enc_loss_bbox: 0.1889 enc_loss_iou: 0.3388 dn_loss_cls: 0.1108 dn_loss_bbox: 0.2013 dn_loss_iou: 0.2579 d0.dn_loss_cls: 0.1933 d0.dn_loss_bbox: 0.3619 d0.dn_loss_iou: 0.4177 d1.dn_loss_cls: 0.1415 d1.dn_loss_bbox: 0.2402 d1.dn_loss_iou: 0.2953 d2.dn_loss_cls: 0.1261 d2.dn_loss_bbox: 0.2129 d2.dn_loss_iou: 0.2684 d3.dn_loss_cls: 0.1159 d3.dn_loss_bbox: 0.2042 d3.dn_loss_iou: 0.2595 d4.dn_loss_cls: 0.1097 d4.dn_loss_bbox: 0.2013 d4.dn_loss_iou: 0.2578 d1.loss_lmm_region: 0.2330 loss_lmm_image: 0.9691 +2024/11/07 05:57:38 - mmengine - INFO - Iter(train) [ 8800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:17:46 time: 1.0244 data_time: 0.0165 memory: 23075 grad_norm: 22.3539 loss: 10.1434 loss_cls: 0.3120 loss_bbox: 0.1444 loss_iou: 0.2708 d0.loss_cls: 0.3491 d0.loss_bbox: 0.1641 d0.loss_iou: 0.2943 d1.loss_cls: 0.3280 d1.loss_bbox: 0.1529 d1.loss_iou: 0.2783 d2.loss_cls: 0.3167 d2.loss_bbox: 0.1479 d2.loss_iou: 0.2721 d3.loss_cls: 0.3178 d3.loss_bbox: 0.1446 d3.loss_iou: 0.2708 d4.loss_cls: 0.3126 d4.loss_bbox: 0.1468 d4.loss_iou: 0.2725 enc_loss_cls: 0.3661 enc_loss_bbox: 0.1674 enc_loss_iou: 0.3088 dn_loss_cls: 0.1004 dn_loss_bbox: 0.1674 dn_loss_iou: 0.2359 d0.dn_loss_cls: 0.1979 d0.dn_loss_bbox: 0.3349 d0.dn_loss_iou: 0.3986 d1.dn_loss_cls: 0.1345 d1.dn_loss_bbox: 0.2092 d1.dn_loss_iou: 0.2747 d2.dn_loss_cls: 0.1151 d2.dn_loss_bbox: 0.1769 d2.dn_loss_iou: 0.2456 d3.dn_loss_cls: 0.1055 d3.dn_loss_bbox: 0.1685 d3.dn_loss_iou: 0.2377 d4.dn_loss_cls: 0.1007 d4.dn_loss_bbox: 0.1674 d4.dn_loss_iou: 0.2361 d1.loss_lmm_region: 0.2356 loss_lmm_image: 0.9628 +2024/11/07 05:59:20 - mmengine - INFO - Iter(train) [ 8900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:15:49 time: 1.0080 data_time: 0.0166 memory: 23733 grad_norm: 25.1157 loss: 10.8025 loss_cls: 0.3708 loss_bbox: 0.1730 loss_iou: 0.2963 d0.loss_cls: 0.4015 d0.loss_bbox: 0.1847 d0.loss_iou: 0.3109 d1.loss_cls: 0.3897 d1.loss_bbox: 0.1740 d1.loss_iou: 0.2998 d2.loss_cls: 0.3812 d2.loss_bbox: 0.1726 d2.loss_iou: 0.2976 d3.loss_cls: 0.3785 d3.loss_bbox: 0.1707 d3.loss_iou: 0.2952 d4.loss_cls: 0.3663 d4.loss_bbox: 0.1740 d4.loss_iou: 0.2992 enc_loss_cls: 0.4200 enc_loss_bbox: 0.1933 enc_loss_iou: 0.3310 dn_loss_cls: 0.1143 dn_loss_bbox: 0.1590 dn_loss_iou: 0.2207 d0.dn_loss_cls: 0.2057 d0.dn_loss_bbox: 0.3180 d0.dn_loss_iou: 0.3724 d1.dn_loss_cls: 0.1442 d1.dn_loss_bbox: 0.1928 d1.dn_loss_iou: 0.2558 d2.dn_loss_cls: 0.1265 d2.dn_loss_bbox: 0.1667 d2.dn_loss_iou: 0.2286 d3.dn_loss_cls: 0.1193 d3.dn_loss_bbox: 0.1601 d3.dn_loss_iou: 0.2215 d4.dn_loss_cls: 0.1149 d4.dn_loss_bbox: 0.1589 d4.dn_loss_iou: 0.2206 d1.loss_lmm_region: 0.2866 loss_lmm_image: 0.9354 +2024/11/07 06:01:03 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/07 06:01:03 - mmengine - INFO - Iter(train) [ 9000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:14:15 time: 1.0257 data_time: 0.0169 memory: 23748 grad_norm: 21.3438 loss: 8.8138 loss_cls: 0.2776 loss_bbox: 0.1171 loss_iou: 0.2195 d0.loss_cls: 0.3038 d0.loss_bbox: 0.1307 d0.loss_iou: 0.2424 d1.loss_cls: 0.2954 d1.loss_bbox: 0.1216 d1.loss_iou: 0.2271 d2.loss_cls: 0.2932 d2.loss_bbox: 0.1147 d2.loss_iou: 0.2201 d3.loss_cls: 0.2817 d3.loss_bbox: 0.1170 d3.loss_iou: 0.2211 d4.loss_cls: 0.2767 d4.loss_bbox: 0.1173 d4.loss_iou: 0.2206 enc_loss_cls: 0.3240 enc_loss_bbox: 0.1434 enc_loss_iou: 0.2632 dn_loss_cls: 0.0960 dn_loss_bbox: 0.1432 dn_loss_iou: 0.1962 d0.dn_loss_cls: 0.1754 d0.dn_loss_bbox: 0.2717 d0.dn_loss_iou: 0.3373 d1.dn_loss_cls: 0.1251 d1.dn_loss_bbox: 0.1721 d1.dn_loss_iou: 0.2284 d2.dn_loss_cls: 0.1109 d2.dn_loss_bbox: 0.1482 d2.dn_loss_iou: 0.2029 d3.dn_loss_cls: 0.1023 d3.dn_loss_bbox: 0.1445 d3.dn_loss_iou: 0.1971 d4.dn_loss_cls: 0.0972 d4.dn_loss_bbox: 0.1433 d4.dn_loss_iou: 0.1962 d1.loss_lmm_region: 0.2096 loss_lmm_image: 0.9881 +2024/11/07 06:02:46 - mmengine - INFO - Iter(train) [ 9100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:12:40 time: 1.0349 data_time: 0.0167 memory: 23563 grad_norm: 22.9976 loss: 11.3589 loss_cls: 0.3855 loss_bbox: 0.1685 loss_iou: 0.2820 d0.loss_cls: 0.4281 d0.loss_bbox: 0.1839 d0.loss_iou: 0.2962 d1.loss_cls: 0.4058 d1.loss_bbox: 0.1798 d1.loss_iou: 0.2914 d2.loss_cls: 0.3957 d2.loss_bbox: 0.1744 d2.loss_iou: 0.2877 d3.loss_cls: 0.3935 d3.loss_bbox: 0.1710 d3.loss_iou: 0.2843 d4.loss_cls: 0.3895 d4.loss_bbox: 0.1676 d4.loss_iou: 0.2813 enc_loss_cls: 0.4464 enc_loss_bbox: 0.1985 enc_loss_iou: 0.3170 dn_loss_cls: 0.1276 dn_loss_bbox: 0.1912 dn_loss_iou: 0.2404 d0.dn_loss_cls: 0.2266 d0.dn_loss_bbox: 0.3591 d0.dn_loss_iou: 0.4041 d1.dn_loss_cls: 0.1591 d1.dn_loss_bbox: 0.2327 d1.dn_loss_iou: 0.2787 d2.dn_loss_cls: 0.1436 d2.dn_loss_bbox: 0.1987 d2.dn_loss_iou: 0.2490 d3.dn_loss_cls: 0.1332 d3.dn_loss_bbox: 0.1922 d3.dn_loss_iou: 0.2414 d4.dn_loss_cls: 0.1297 d4.dn_loss_bbox: 0.1911 d4.dn_loss_iou: 0.2404 d1.loss_lmm_region: 0.3117 loss_lmm_image: 0.9803 +2024/11/07 06:04:30 - mmengine - INFO - Iter(train) [ 9200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:11:05 time: 1.0212 data_time: 0.0167 memory: 23833 grad_norm: 22.5093 loss: 9.4920 loss_cls: 0.2858 loss_bbox: 0.1269 loss_iou: 0.2401 d0.loss_cls: 0.3164 d0.loss_bbox: 0.1419 d0.loss_iou: 0.2544 d1.loss_cls: 0.3028 d1.loss_bbox: 0.1312 d1.loss_iou: 0.2419 d2.loss_cls: 0.2937 d2.loss_bbox: 0.1305 d2.loss_iou: 0.2414 d3.loss_cls: 0.2887 d3.loss_bbox: 0.1281 d3.loss_iou: 0.2411 d4.loss_cls: 0.2864 d4.loss_bbox: 0.1287 d4.loss_iou: 0.2406 enc_loss_cls: 0.3320 enc_loss_bbox: 0.1517 enc_loss_iou: 0.2710 dn_loss_cls: 0.1075 dn_loss_bbox: 0.1663 dn_loss_iou: 0.2215 d0.dn_loss_cls: 0.1859 d0.dn_loss_bbox: 0.3349 d0.dn_loss_iou: 0.3793 d1.dn_loss_cls: 0.1316 d1.dn_loss_bbox: 0.2019 d1.dn_loss_iou: 0.2551 d2.dn_loss_cls: 0.1194 d2.dn_loss_bbox: 0.1775 d2.dn_loss_iou: 0.2309 d3.dn_loss_cls: 0.1137 d3.dn_loss_bbox: 0.1673 d3.dn_loss_iou: 0.2228 d4.dn_loss_cls: 0.1091 d4.dn_loss_bbox: 0.1663 d4.dn_loss_iou: 0.2214 d1.loss_lmm_region: 0.2250 loss_lmm_image: 0.9793 +2024/11/07 06:06:14 - mmengine - INFO - Iter(train) [ 9300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:09:44 time: 1.0473 data_time: 0.0167 memory: 24035 grad_norm: 24.2461 loss: 9.5765 loss_cls: 0.2829 loss_bbox: 0.1272 loss_iou: 0.2187 d0.loss_cls: 0.3097 d0.loss_bbox: 0.1425 d0.loss_iou: 0.2383 d1.loss_cls: 0.2946 d1.loss_bbox: 0.1332 d1.loss_iou: 0.2262 d2.loss_cls: 0.2884 d2.loss_bbox: 0.1295 d2.loss_iou: 0.2239 d3.loss_cls: 0.2848 d3.loss_bbox: 0.1300 d3.loss_iou: 0.2228 d4.loss_cls: 0.2849 d4.loss_bbox: 0.1278 d4.loss_iou: 0.2186 enc_loss_cls: 0.3260 enc_loss_bbox: 0.1485 enc_loss_iou: 0.2497 dn_loss_cls: 0.1335 dn_loss_bbox: 0.1795 dn_loss_iou: 0.2292 d0.dn_loss_cls: 0.2270 d0.dn_loss_bbox: 0.3298 d0.dn_loss_iou: 0.3840 d1.dn_loss_cls: 0.1786 d1.dn_loss_bbox: 0.2077 d1.dn_loss_iou: 0.2607 d2.dn_loss_cls: 0.1569 d2.dn_loss_bbox: 0.1862 d2.dn_loss_iou: 0.2370 d3.dn_loss_cls: 0.1412 d3.dn_loss_bbox: 0.1802 d3.dn_loss_iou: 0.2305 d4.dn_loss_cls: 0.1360 d4.dn_loss_bbox: 0.1796 d4.dn_loss_iou: 0.2292 d1.loss_lmm_region: 0.2234 loss_lmm_image: 0.9377 +2024/11/07 06:07:56 - mmengine - INFO - Iter(train) [ 9400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:07:57 time: 1.0307 data_time: 0.0168 memory: 24041 grad_norm: 24.4195 loss: 10.1288 loss_cls: 0.3376 loss_bbox: 0.1375 loss_iou: 0.2493 d0.loss_cls: 0.3689 d0.loss_bbox: 0.1547 d0.loss_iou: 0.2718 d1.loss_cls: 0.3530 d1.loss_bbox: 0.1408 d1.loss_iou: 0.2575 d2.loss_cls: 0.3430 d2.loss_bbox: 0.1386 d2.loss_iou: 0.2536 d3.loss_cls: 0.3417 d3.loss_bbox: 0.1376 d3.loss_iou: 0.2512 d4.loss_cls: 0.3361 d4.loss_bbox: 0.1381 d4.loss_iou: 0.2497 enc_loss_cls: 0.3839 enc_loss_bbox: 0.1678 enc_loss_iou: 0.2931 dn_loss_cls: 0.1025 dn_loss_bbox: 0.1766 dn_loss_iou: 0.2179 d0.dn_loss_cls: 0.1989 d0.dn_loss_bbox: 0.3510 d0.dn_loss_iou: 0.3794 d1.dn_loss_cls: 0.1352 d1.dn_loss_bbox: 0.2151 d1.dn_loss_iou: 0.2573 d2.dn_loss_cls: 0.1163 d2.dn_loss_bbox: 0.1907 d2.dn_loss_iou: 0.2303 d3.dn_loss_cls: 0.1065 d3.dn_loss_bbox: 0.1787 d3.dn_loss_iou: 0.2197 d4.dn_loss_cls: 0.1039 d4.dn_loss_bbox: 0.1767 d4.dn_loss_iou: 0.2179 d1.loss_lmm_region: 0.2316 loss_lmm_image: 1.0173 +2024/11/07 06:09:40 - mmengine - INFO - Iter(train) [ 9500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:06:31 time: 1.0459 data_time: 0.0167 memory: 24148 grad_norm: 21.9377 loss: 10.7259 loss_cls: 0.3261 loss_bbox: 0.1603 loss_iou: 0.2675 d0.loss_cls: 0.3618 d0.loss_bbox: 0.1766 d0.loss_iou: 0.2883 d1.loss_cls: 0.3491 d1.loss_bbox: 0.1627 d1.loss_iou: 0.2697 d2.loss_cls: 0.3382 d2.loss_bbox: 0.1585 d2.loss_iou: 0.2701 d3.loss_cls: 0.3415 d3.loss_bbox: 0.1526 d3.loss_iou: 0.2631 d4.loss_cls: 0.3302 d4.loss_bbox: 0.1598 d4.loss_iou: 0.2661 enc_loss_cls: 0.3759 enc_loss_bbox: 0.1950 enc_loss_iou: 0.3108 dn_loss_cls: 0.1170 dn_loss_bbox: 0.1937 dn_loss_iou: 0.2462 d0.dn_loss_cls: 0.2183 d0.dn_loss_bbox: 0.3718 d0.dn_loss_iou: 0.4198 d1.dn_loss_cls: 0.1562 d1.dn_loss_bbox: 0.2357 d1.dn_loss_iou: 0.2892 d2.dn_loss_cls: 0.1386 d2.dn_loss_bbox: 0.2054 d2.dn_loss_iou: 0.2583 d3.dn_loss_cls: 0.1255 d3.dn_loss_bbox: 0.1953 d3.dn_loss_iou: 0.2479 d4.dn_loss_cls: 0.1173 d4.dn_loss_bbox: 0.1937 d4.dn_loss_iou: 0.2463 d1.loss_lmm_region: 0.2315 loss_lmm_image: 0.9944 +2024/11/07 06:11:23 - mmengine - INFO - Iter(train) [ 9600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:04:48 time: 1.0268 data_time: 0.0168 memory: 23857 grad_norm: 22.8023 loss: 11.4754 loss_cls: 0.4167 loss_bbox: 0.1593 loss_iou: 0.3362 d0.loss_cls: 0.4541 d0.loss_bbox: 0.1859 d0.loss_iou: 0.3719 d1.loss_cls: 0.4281 d1.loss_bbox: 0.1696 d1.loss_iou: 0.3522 d2.loss_cls: 0.4234 d2.loss_bbox: 0.1626 d2.loss_iou: 0.3420 d3.loss_cls: 0.4237 d3.loss_bbox: 0.1614 d3.loss_iou: 0.3384 d4.loss_cls: 0.4176 d4.loss_bbox: 0.1598 d4.loss_iou: 0.3380 enc_loss_cls: 0.4606 enc_loss_bbox: 0.2058 enc_loss_iou: 0.4032 dn_loss_cls: 0.0972 dn_loss_bbox: 0.1690 dn_loss_iou: 0.2329 d0.dn_loss_cls: 0.1917 d0.dn_loss_bbox: 0.3182 d0.dn_loss_iou: 0.3900 d1.dn_loss_cls: 0.1328 d1.dn_loss_bbox: 0.1997 d1.dn_loss_iou: 0.2706 d2.dn_loss_cls: 0.1121 d2.dn_loss_bbox: 0.1747 d2.dn_loss_iou: 0.2421 d3.dn_loss_cls: 0.1030 d3.dn_loss_bbox: 0.1698 d3.dn_loss_iou: 0.2346 d4.dn_loss_cls: 0.0987 d4.dn_loss_bbox: 0.1690 d4.dn_loss_iou: 0.2330 d1.loss_lmm_region: 0.2059 loss_lmm_image: 1.0197 +2024/11/07 06:13:07 - mmengine - INFO - Iter(train) [ 9700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:03:22 time: 1.0390 data_time: 0.0168 memory: 24175 grad_norm: 20.8592 loss: 10.1195 loss_cls: 0.3121 loss_bbox: 0.1582 loss_iou: 0.2974 d0.loss_cls: 0.3455 d0.loss_bbox: 0.1761 d0.loss_iou: 0.3185 d1.loss_cls: 0.3333 d1.loss_bbox: 0.1639 d1.loss_iou: 0.3058 d2.loss_cls: 0.3241 d2.loss_bbox: 0.1594 d2.loss_iou: 0.3009 d3.loss_cls: 0.3179 d3.loss_bbox: 0.1591 d3.loss_iou: 0.2995 d4.loss_cls: 0.3128 d4.loss_bbox: 0.1593 d4.loss_iou: 0.2989 enc_loss_cls: 0.3617 enc_loss_bbox: 0.1868 enc_loss_iou: 0.3383 dn_loss_cls: 0.0833 dn_loss_bbox: 0.1643 dn_loss_iou: 0.2226 d0.dn_loss_cls: 0.1686 d0.dn_loss_bbox: 0.3216 d0.dn_loss_iou: 0.3822 d1.dn_loss_cls: 0.1121 d1.dn_loss_bbox: 0.1992 d1.dn_loss_iou: 0.2577 d2.dn_loss_cls: 0.0959 d2.dn_loss_bbox: 0.1723 d2.dn_loss_iou: 0.2312 d3.dn_loss_cls: 0.0871 d3.dn_loss_bbox: 0.1649 d3.dn_loss_iou: 0.2242 d4.dn_loss_cls: 0.0836 d4.dn_loss_bbox: 0.1644 d4.dn_loss_iou: 0.2226 d1.loss_lmm_region: 0.2051 loss_lmm_image: 0.9275 +2024/11/07 06:14:49 - mmengine - INFO - Iter(train) [ 9800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:01:34 time: 1.0253 data_time: 0.0168 memory: 23283 grad_norm: 20.1702 loss: 10.7325 loss_cls: 0.3364 loss_bbox: 0.1592 loss_iou: 0.2559 d0.loss_cls: 0.3769 d0.loss_bbox: 0.1678 d0.loss_iou: 0.2701 d1.loss_cls: 0.3550 d1.loss_bbox: 0.1564 d1.loss_iou: 0.2612 d2.loss_cls: 0.3420 d2.loss_bbox: 0.1609 d2.loss_iou: 0.2617 d3.loss_cls: 0.3395 d3.loss_bbox: 0.1614 d3.loss_iou: 0.2561 d4.loss_cls: 0.3365 d4.loss_bbox: 0.1594 d4.loss_iou: 0.2569 enc_loss_cls: 0.3822 enc_loss_bbox: 0.1871 enc_loss_iou: 0.2975 dn_loss_cls: 0.1269 dn_loss_bbox: 0.2066 dn_loss_iou: 0.2436 d0.dn_loss_cls: 0.2171 d0.dn_loss_bbox: 0.3903 d0.dn_loss_iou: 0.3995 d1.dn_loss_cls: 0.1595 d1.dn_loss_bbox: 0.2471 d1.dn_loss_iou: 0.2804 d2.dn_loss_cls: 0.1418 d2.dn_loss_bbox: 0.2134 d2.dn_loss_iou: 0.2519 d3.dn_loss_cls: 0.1327 d3.dn_loss_bbox: 0.2084 d3.dn_loss_iou: 0.2449 d4.dn_loss_cls: 0.1286 d4.dn_loss_bbox: 0.2065 d4.dn_loss_iou: 0.2434 d1.loss_lmm_region: 0.2479 loss_lmm_image: 0.9620 +2024/11/07 06:16:32 - mmengine - INFO - Iter(train) [ 9900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:59:55 time: 1.0186 data_time: 0.0167 memory: 24661 grad_norm: 22.3947 loss: 9.8554 loss_cls: 0.3091 loss_bbox: 0.1306 loss_iou: 0.2328 d0.loss_cls: 0.3414 d0.loss_bbox: 0.1497 d0.loss_iou: 0.2516 d1.loss_cls: 0.3323 d1.loss_bbox: 0.1407 d1.loss_iou: 0.2428 d2.loss_cls: 0.3195 d2.loss_bbox: 0.1365 d2.loss_iou: 0.2375 d3.loss_cls: 0.3162 d3.loss_bbox: 0.1318 d3.loss_iou: 0.2346 d4.loss_cls: 0.3084 d4.loss_bbox: 0.1329 d4.loss_iou: 0.2347 enc_loss_cls: 0.3668 enc_loss_bbox: 0.1613 enc_loss_iou: 0.2714 dn_loss_cls: 0.0952 dn_loss_bbox: 0.1909 dn_loss_iou: 0.2262 d0.dn_loss_cls: 0.1896 d0.dn_loss_bbox: 0.3619 d0.dn_loss_iou: 0.3896 d1.dn_loss_cls: 0.1374 d1.dn_loss_bbox: 0.2353 d1.dn_loss_iou: 0.2676 d2.dn_loss_cls: 0.1140 d2.dn_loss_bbox: 0.2045 d2.dn_loss_iou: 0.2384 d3.dn_loss_cls: 0.1020 d3.dn_loss_bbox: 0.1926 d3.dn_loss_iou: 0.2283 d4.dn_loss_cls: 0.0956 d4.dn_loss_bbox: 0.1909 d4.dn_loss_iou: 0.2262 d1.loss_lmm_region: 0.2219 loss_lmm_image: 0.9647 +2024/11/07 06:18:16 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/07 06:18:16 - mmengine - INFO - Iter(train) [ 10000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:58:20 time: 1.0399 data_time: 0.0167 memory: 23297 grad_norm: 20.6944 loss: 11.4049 loss_cls: 0.3665 loss_bbox: 0.1770 loss_iou: 0.2993 d0.loss_cls: 0.4125 d0.loss_bbox: 0.1950 d0.loss_iou: 0.3189 d1.loss_cls: 0.3966 d1.loss_bbox: 0.1814 d1.loss_iou: 0.3056 d2.loss_cls: 0.3868 d2.loss_bbox: 0.1752 d2.loss_iou: 0.2984 d3.loss_cls: 0.3776 d3.loss_bbox: 0.1792 d3.loss_iou: 0.2979 d4.loss_cls: 0.3695 d4.loss_bbox: 0.1776 d4.loss_iou: 0.2973 enc_loss_cls: 0.4320 enc_loss_bbox: 0.2111 enc_loss_iou: 0.3385 dn_loss_cls: 0.1295 dn_loss_bbox: 0.2096 dn_loss_iou: 0.2417 d0.dn_loss_cls: 0.2223 d0.dn_loss_bbox: 0.3675 d0.dn_loss_iou: 0.3969 d1.dn_loss_cls: 0.1642 d1.dn_loss_bbox: 0.2466 d1.dn_loss_iou: 0.2811 d2.dn_loss_cls: 0.1453 d2.dn_loss_bbox: 0.2192 d2.dn_loss_iou: 0.2521 d3.dn_loss_cls: 0.1351 d3.dn_loss_bbox: 0.2112 d3.dn_loss_iou: 0.2432 d4.dn_loss_cls: 0.1310 d4.dn_loss_bbox: 0.2096 d4.dn_loss_iou: 0.2416 d1.loss_lmm_region: 0.2286 loss_lmm_image: 0.9349 +2024/11/07 06:19:58 - mmengine - INFO - Iter(train) [ 10100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:56:36 time: 1.0196 data_time: 0.0168 memory: 23315 grad_norm: 22.3805 loss: 10.9956 loss_cls: 0.3643 loss_bbox: 0.1552 loss_iou: 0.2964 d0.loss_cls: 0.4003 d0.loss_bbox: 0.1706 d0.loss_iou: 0.3153 d1.loss_cls: 0.3831 d1.loss_bbox: 0.1577 d1.loss_iou: 0.2995 d2.loss_cls: 0.3738 d2.loss_bbox: 0.1607 d2.loss_iou: 0.2985 d3.loss_cls: 0.3673 d3.loss_bbox: 0.1554 d3.loss_iou: 0.2962 d4.loss_cls: 0.3665 d4.loss_bbox: 0.1526 d4.loss_iou: 0.2937 enc_loss_cls: 0.4152 enc_loss_bbox: 0.1799 enc_loss_iou: 0.3300 dn_loss_cls: 0.1374 dn_loss_bbox: 0.1747 dn_loss_iou: 0.2363 d0.dn_loss_cls: 0.2249 d0.dn_loss_bbox: 0.3350 d0.dn_loss_iou: 0.3947 d1.dn_loss_cls: 0.1678 d1.dn_loss_bbox: 0.2075 d1.dn_loss_iou: 0.2707 d2.dn_loss_cls: 0.1503 d2.dn_loss_bbox: 0.1816 d2.dn_loss_iou: 0.2449 d3.dn_loss_cls: 0.1435 d3.dn_loss_bbox: 0.1750 d3.dn_loss_iou: 0.2371 d4.dn_loss_cls: 0.1395 d4.dn_loss_bbox: 0.1748 d4.dn_loss_iou: 0.2364 d1.loss_lmm_region: 0.2379 loss_lmm_image: 0.9935 +2024/11/07 06:21:42 - mmengine - INFO - Iter(train) [ 10200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:55:07 time: 1.0498 data_time: 0.0167 memory: 23441 grad_norm: 23.3843 loss: 9.8931 loss_cls: 0.3187 loss_bbox: 0.1391 loss_iou: 0.2474 d0.loss_cls: 0.3490 d0.loss_bbox: 0.1570 d0.loss_iou: 0.2716 d1.loss_cls: 0.3341 d1.loss_bbox: 0.1445 d1.loss_iou: 0.2587 d2.loss_cls: 0.3274 d2.loss_bbox: 0.1414 d2.loss_iou: 0.2551 d3.loss_cls: 0.3254 d3.loss_bbox: 0.1388 d3.loss_iou: 0.2484 d4.loss_cls: 0.3205 d4.loss_bbox: 0.1367 d4.loss_iou: 0.2483 enc_loss_cls: 0.3713 enc_loss_bbox: 0.1633 enc_loss_iou: 0.2866 dn_loss_cls: 0.1096 dn_loss_bbox: 0.1715 dn_loss_iou: 0.2152 d0.dn_loss_cls: 0.1961 d0.dn_loss_bbox: 0.3244 d0.dn_loss_iou: 0.3605 d1.dn_loss_cls: 0.1390 d1.dn_loss_bbox: 0.2031 d1.dn_loss_iou: 0.2481 d2.dn_loss_cls: 0.1213 d2.dn_loss_bbox: 0.1827 d2.dn_loss_iou: 0.2247 d3.dn_loss_cls: 0.1141 d3.dn_loss_bbox: 0.1725 d3.dn_loss_iou: 0.2162 d4.dn_loss_cls: 0.1092 d4.dn_loss_bbox: 0.1714 d4.dn_loss_iou: 0.2151 d1.loss_lmm_region: 0.2446 loss_lmm_image: 0.9705 +2024/11/07 06:23:25 - mmengine - INFO - Iter(train) [ 10300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:53:28 time: 1.0353 data_time: 0.0170 memory: 23811 grad_norm: 22.8179 loss: 10.6098 loss_cls: 0.3258 loss_bbox: 0.1595 loss_iou: 0.2749 d0.loss_cls: 0.3612 d0.loss_bbox: 0.1813 d0.loss_iou: 0.2973 d1.loss_cls: 0.3496 d1.loss_bbox: 0.1661 d1.loss_iou: 0.2813 d2.loss_cls: 0.3379 d2.loss_bbox: 0.1625 d2.loss_iou: 0.2776 d3.loss_cls: 0.3327 d3.loss_bbox: 0.1584 d3.loss_iou: 0.2772 d4.loss_cls: 0.3267 d4.loss_bbox: 0.1599 d4.loss_iou: 0.2770 enc_loss_cls: 0.3850 enc_loss_bbox: 0.1906 enc_loss_iou: 0.3182 dn_loss_cls: 0.1125 dn_loss_bbox: 0.1865 dn_loss_iou: 0.2365 d0.dn_loss_cls: 0.2187 d0.dn_loss_bbox: 0.3584 d0.dn_loss_iou: 0.3990 d1.dn_loss_cls: 0.1538 d1.dn_loss_bbox: 0.2248 d1.dn_loss_iou: 0.2745 d2.dn_loss_cls: 0.1319 d2.dn_loss_bbox: 0.1970 d2.dn_loss_iou: 0.2474 d3.dn_loss_cls: 0.1193 d3.dn_loss_bbox: 0.1876 d3.dn_loss_iou: 0.2378 d4.dn_loss_cls: 0.1135 d4.dn_loss_bbox: 0.1865 d4.dn_loss_iou: 0.2363 d1.loss_lmm_region: 0.2233 loss_lmm_image: 0.9638 +2024/11/07 06:25:09 - mmengine - INFO - Iter(train) [ 10400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:51:55 time: 1.0342 data_time: 0.0169 memory: 23164 grad_norm: 22.8354 loss: 10.8632 loss_cls: 0.3480 loss_bbox: 0.1819 loss_iou: 0.2977 d0.loss_cls: 0.3937 d0.loss_bbox: 0.1946 d0.loss_iou: 0.3040 d1.loss_cls: 0.3683 d1.loss_bbox: 0.1840 d1.loss_iou: 0.3009 d2.loss_cls: 0.3577 d2.loss_bbox: 0.1822 d2.loss_iou: 0.2989 d3.loss_cls: 0.3519 d3.loss_bbox: 0.1841 d3.loss_iou: 0.3001 d4.loss_cls: 0.3486 d4.loss_bbox: 0.1814 d4.loss_iou: 0.2983 enc_loss_cls: 0.4039 enc_loss_bbox: 0.2150 enc_loss_iou: 0.3333 dn_loss_cls: 0.1153 dn_loss_bbox: 0.1726 dn_loss_iou: 0.2226 d0.dn_loss_cls: 0.2058 d0.dn_loss_bbox: 0.3360 d0.dn_loss_iou: 0.3738 d1.dn_loss_cls: 0.1476 d1.dn_loss_bbox: 0.2161 d1.dn_loss_iou: 0.2598 d2.dn_loss_cls: 0.1312 d2.dn_loss_bbox: 0.1869 d2.dn_loss_iou: 0.2331 d3.dn_loss_cls: 0.1208 d3.dn_loss_bbox: 0.1749 d3.dn_loss_iou: 0.2242 d4.dn_loss_cls: 0.1163 d4.dn_loss_bbox: 0.1727 d4.dn_loss_iou: 0.2226 d1.loss_lmm_region: 0.2260 loss_lmm_image: 0.9766 +2024/11/07 06:26:51 - mmengine - INFO - Iter(train) [ 10500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:50:09 time: 1.0260 data_time: 0.0169 memory: 23011 grad_norm: 22.5892 loss: 10.0243 loss_cls: 0.2972 loss_bbox: 0.1450 loss_iou: 0.2502 d0.loss_cls: 0.3318 d0.loss_bbox: 0.1528 d0.loss_iou: 0.2594 d1.loss_cls: 0.3120 d1.loss_bbox: 0.1519 d1.loss_iou: 0.2548 d2.loss_cls: 0.3013 d2.loss_bbox: 0.1510 d2.loss_iou: 0.2559 d3.loss_cls: 0.3015 d3.loss_bbox: 0.1449 d3.loss_iou: 0.2523 d4.loss_cls: 0.2983 d4.loss_bbox: 0.1449 d4.loss_iou: 0.2500 enc_loss_cls: 0.3420 enc_loss_bbox: 0.1733 enc_loss_iou: 0.2847 dn_loss_cls: 0.1077 dn_loss_bbox: 0.1910 dn_loss_iou: 0.2389 d0.dn_loss_cls: 0.1925 d0.dn_loss_bbox: 0.3618 d0.dn_loss_iou: 0.4012 d1.dn_loss_cls: 0.1386 d1.dn_loss_bbox: 0.2248 d1.dn_loss_iou: 0.2710 d2.dn_loss_cls: 0.1238 d2.dn_loss_bbox: 0.1986 d2.dn_loss_iou: 0.2466 d3.dn_loss_cls: 0.1129 d3.dn_loss_bbox: 0.1929 d3.dn_loss_iou: 0.2404 d4.dn_loss_cls: 0.1086 d4.dn_loss_bbox: 0.1910 d4.dn_loss_iou: 0.2389 d1.loss_lmm_region: 0.2094 loss_lmm_image: 0.9786 +2024/11/07 06:28:35 - mmengine - INFO - Iter(train) [ 10600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:48:40 time: 1.0146 data_time: 0.0169 memory: 23272 grad_norm: 22.0914 loss: 9.6923 loss_cls: 0.2969 loss_bbox: 0.1440 loss_iou: 0.2515 d0.loss_cls: 0.3242 d0.loss_bbox: 0.1692 d0.loss_iou: 0.2747 d1.loss_cls: 0.3087 d1.loss_bbox: 0.1593 d1.loss_iou: 0.2637 d2.loss_cls: 0.3019 d2.loss_bbox: 0.1500 d2.loss_iou: 0.2549 d3.loss_cls: 0.2998 d3.loss_bbox: 0.1459 d3.loss_iou: 0.2504 d4.loss_cls: 0.2953 d4.loss_bbox: 0.1443 d4.loss_iou: 0.2506 enc_loss_cls: 0.3400 enc_loss_bbox: 0.1793 enc_loss_iou: 0.2941 dn_loss_cls: 0.1026 dn_loss_bbox: 0.1702 dn_loss_iou: 0.2218 d0.dn_loss_cls: 0.1727 d0.dn_loss_bbox: 0.3172 d0.dn_loss_iou: 0.3710 d1.dn_loss_cls: 0.1265 d1.dn_loss_bbox: 0.2067 d1.dn_loss_iou: 0.2581 d2.dn_loss_cls: 0.1125 d2.dn_loss_bbox: 0.1778 d2.dn_loss_iou: 0.2320 d3.dn_loss_cls: 0.1056 d3.dn_loss_bbox: 0.1723 d3.dn_loss_iou: 0.2238 d4.dn_loss_cls: 0.1018 d4.dn_loss_bbox: 0.1703 d4.dn_loss_iou: 0.2219 d1.loss_lmm_region: 0.1825 loss_lmm_image: 0.9459 +2024/11/07 06:30:18 - mmengine - INFO - Iter(train) [ 10700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:46:54 time: 1.0274 data_time: 0.0168 memory: 23586 grad_norm: 22.3580 loss: 10.9038 loss_cls: 0.3547 loss_bbox: 0.1593 loss_iou: 0.2821 d0.loss_cls: 0.3983 d0.loss_bbox: 0.1720 d0.loss_iou: 0.2990 d1.loss_cls: 0.3752 d1.loss_bbox: 0.1635 d1.loss_iou: 0.2906 d2.loss_cls: 0.3746 d2.loss_bbox: 0.1515 d2.loss_iou: 0.2791 d3.loss_cls: 0.3573 d3.loss_bbox: 0.1651 d3.loss_iou: 0.2882 d4.loss_cls: 0.3579 d4.loss_bbox: 0.1576 d4.loss_iou: 0.2821 enc_loss_cls: 0.4074 enc_loss_bbox: 0.1923 enc_loss_iou: 0.3239 dn_loss_cls: 0.1256 dn_loss_bbox: 0.1907 dn_loss_iou: 0.2384 d0.dn_loss_cls: 0.2238 d0.dn_loss_bbox: 0.3469 d0.dn_loss_iou: 0.3897 d1.dn_loss_cls: 0.1668 d1.dn_loss_bbox: 0.2265 d1.dn_loss_iou: 0.2743 d2.dn_loss_cls: 0.1484 d2.dn_loss_bbox: 0.2011 d2.dn_loss_iou: 0.2489 d3.dn_loss_cls: 0.1320 d3.dn_loss_bbox: 0.1915 d3.dn_loss_iou: 0.2397 d4.dn_loss_cls: 0.1282 d4.dn_loss_bbox: 0.1907 d4.dn_loss_iou: 0.2384 d1.loss_lmm_region: 0.2060 loss_lmm_image: 0.9644 +2024/11/07 06:32:01 - mmengine - INFO - Iter(train) [ 10800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:45:12 time: 1.0240 data_time: 0.0167 memory: 23256 grad_norm: 23.2710 loss: 10.4359 loss_cls: 0.3098 loss_bbox: 0.1591 loss_iou: 0.2754 d0.loss_cls: 0.3576 d0.loss_bbox: 0.1697 d0.loss_iou: 0.2927 d1.loss_cls: 0.3294 d1.loss_bbox: 0.1628 d1.loss_iou: 0.2817 d2.loss_cls: 0.3206 d2.loss_bbox: 0.1571 d2.loss_iou: 0.2780 d3.loss_cls: 0.3112 d3.loss_bbox: 0.1594 d3.loss_iou: 0.2787 d4.loss_cls: 0.3089 d4.loss_bbox: 0.1599 d4.loss_iou: 0.2766 enc_loss_cls: 0.3662 enc_loss_bbox: 0.1886 enc_loss_iou: 0.3165 dn_loss_cls: 0.1092 dn_loss_bbox: 0.1991 dn_loss_iou: 0.2484 d0.dn_loss_cls: 0.1965 d0.dn_loss_bbox: 0.3592 d0.dn_loss_iou: 0.4068 d1.dn_loss_cls: 0.1433 d1.dn_loss_bbox: 0.2336 d1.dn_loss_iou: 0.2831 d2.dn_loss_cls: 0.1258 d2.dn_loss_bbox: 0.2051 d2.dn_loss_iou: 0.2566 d3.dn_loss_cls: 0.1149 d3.dn_loss_bbox: 0.2001 d3.dn_loss_iou: 0.2497 d4.dn_loss_cls: 0.1103 d4.dn_loss_bbox: 0.1992 d4.dn_loss_iou: 0.2483 d1.loss_lmm_region: 0.1960 loss_lmm_image: 0.8909 +2024/11/07 06:33:45 - mmengine - INFO - Iter(train) [ 10900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:43:48 time: 1.0556 data_time: 0.0170 memory: 23845 grad_norm: 21.6097 loss: 10.3074 loss_cls: 0.3220 loss_bbox: 0.1422 loss_iou: 0.2962 d0.loss_cls: 0.3588 d0.loss_bbox: 0.1537 d0.loss_iou: 0.3124 d1.loss_cls: 0.3350 d1.loss_bbox: 0.1457 d1.loss_iou: 0.3012 d2.loss_cls: 0.3281 d2.loss_bbox: 0.1450 d2.loss_iou: 0.2984 d3.loss_cls: 0.3232 d3.loss_bbox: 0.1463 d3.loss_iou: 0.2981 d4.loss_cls: 0.3190 d4.loss_bbox: 0.1454 d4.loss_iou: 0.2978 enc_loss_cls: 0.3718 enc_loss_bbox: 0.1667 enc_loss_iou: 0.3355 dn_loss_cls: 0.1075 dn_loss_bbox: 0.1728 dn_loss_iou: 0.2357 d0.dn_loss_cls: 0.1835 d0.dn_loss_bbox: 0.3135 d0.dn_loss_iou: 0.3884 d1.dn_loss_cls: 0.1379 d1.dn_loss_bbox: 0.2001 d1.dn_loss_iou: 0.2679 d2.dn_loss_cls: 0.1232 d2.dn_loss_bbox: 0.1796 d2.dn_loss_iou: 0.2431 d3.dn_loss_cls: 0.1103 d3.dn_loss_bbox: 0.1736 d3.dn_loss_iou: 0.2367 d4.dn_loss_cls: 0.1076 d4.dn_loss_bbox: 0.1730 d4.dn_loss_iou: 0.2358 d1.loss_lmm_region: 0.2030 loss_lmm_image: 0.9718 +2024/11/07 06:35:27 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/07 06:35:27 - mmengine - INFO - Iter(train) [ 11000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:41:51 time: 1.0183 data_time: 0.0171 memory: 23415 grad_norm: 24.7223 loss: 10.6074 loss_cls: 0.2943 loss_bbox: 0.1755 loss_iou: 0.2813 d0.loss_cls: 0.3316 d0.loss_bbox: 0.1895 d0.loss_iou: 0.2977 d1.loss_cls: 0.3155 d1.loss_bbox: 0.1740 d1.loss_iou: 0.2847 d2.loss_cls: 0.3046 d2.loss_bbox: 0.1761 d2.loss_iou: 0.2827 d3.loss_cls: 0.3047 d3.loss_bbox: 0.1701 d3.loss_iou: 0.2801 d4.loss_cls: 0.2990 d4.loss_bbox: 0.1726 d4.loss_iou: 0.2790 enc_loss_cls: 0.3559 enc_loss_bbox: 0.1872 enc_loss_iou: 0.3086 dn_loss_cls: 0.1058 dn_loss_bbox: 0.2020 dn_loss_iou: 0.2468 d0.dn_loss_cls: 0.2007 d0.dn_loss_bbox: 0.3928 d0.dn_loss_iou: 0.4143 d1.dn_loss_cls: 0.1407 d1.dn_loss_bbox: 0.2431 d1.dn_loss_iou: 0.2826 d2.dn_loss_cls: 0.1244 d2.dn_loss_bbox: 0.2114 d2.dn_loss_iou: 0.2567 d3.dn_loss_cls: 0.1124 d3.dn_loss_bbox: 0.2034 d3.dn_loss_iou: 0.2481 d4.dn_loss_cls: 0.1059 d4.dn_loss_bbox: 0.2019 d4.dn_loss_iou: 0.2465 d1.loss_lmm_region: 0.2400 loss_lmm_image: 0.9635 +2024/11/07 06:37:10 - mmengine - INFO - Iter(train) [ 11100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:40:22 time: 1.0374 data_time: 0.0170 memory: 23934 grad_norm: 23.3724 loss: 10.2157 loss_cls: 0.3346 loss_bbox: 0.1475 loss_iou: 0.2823 d0.loss_cls: 0.3817 d0.loss_bbox: 0.1623 d0.loss_iou: 0.3027 d1.loss_cls: 0.3564 d1.loss_bbox: 0.1553 d1.loss_iou: 0.2879 d2.loss_cls: 0.3471 d2.loss_bbox: 0.1485 d2.loss_iou: 0.2822 d3.loss_cls: 0.3413 d3.loss_bbox: 0.1469 d3.loss_iou: 0.2811 d4.loss_cls: 0.3362 d4.loss_bbox: 0.1478 d4.loss_iou: 0.2815 enc_loss_cls: 0.3934 enc_loss_bbox: 0.1754 enc_loss_iou: 0.3247 dn_loss_cls: 0.0949 dn_loss_bbox: 0.1661 dn_loss_iou: 0.2215 d0.dn_loss_cls: 0.1832 d0.dn_loss_bbox: 0.3234 d0.dn_loss_iou: 0.3794 d1.dn_loss_cls: 0.1280 d1.dn_loss_bbox: 0.2027 d1.dn_loss_iou: 0.2569 d2.dn_loss_cls: 0.1107 d2.dn_loss_bbox: 0.1779 d2.dn_loss_iou: 0.2323 d3.dn_loss_cls: 0.1021 d3.dn_loss_bbox: 0.1673 d3.dn_loss_iou: 0.2231 d4.dn_loss_cls: 0.0972 d4.dn_loss_bbox: 0.1662 d4.dn_loss_iou: 0.2214 d1.loss_lmm_region: 0.2046 loss_lmm_image: 0.9399 +2024/11/07 06:38:53 - mmengine - INFO - Iter(train) [ 11200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:38:40 time: 1.0340 data_time: 0.0169 memory: 23399 grad_norm: 23.6646 loss: 10.5123 loss_cls: 0.3584 loss_bbox: 0.1543 loss_iou: 0.2643 d0.loss_cls: 0.3947 d0.loss_bbox: 0.1699 d0.loss_iou: 0.2817 d1.loss_cls: 0.3781 d1.loss_bbox: 0.1560 d1.loss_iou: 0.2686 d2.loss_cls: 0.3682 d2.loss_bbox: 0.1511 d2.loss_iou: 0.2597 d3.loss_cls: 0.3656 d3.loss_bbox: 0.1514 d3.loss_iou: 0.2646 d4.loss_cls: 0.3608 d4.loss_bbox: 0.1533 d4.loss_iou: 0.2634 enc_loss_cls: 0.4164 enc_loss_bbox: 0.1870 enc_loss_iou: 0.3066 dn_loss_cls: 0.1031 dn_loss_bbox: 0.1875 dn_loss_iou: 0.2232 d0.dn_loss_cls: 0.1923 d0.dn_loss_bbox: 0.3482 d0.dn_loss_iou: 0.3763 d1.dn_loss_cls: 0.1333 d1.dn_loss_bbox: 0.2235 d1.dn_loss_iou: 0.2602 d2.dn_loss_cls: 0.1164 d2.dn_loss_bbox: 0.1970 d2.dn_loss_iou: 0.2334 d3.dn_loss_cls: 0.1076 d3.dn_loss_bbox: 0.1886 d3.dn_loss_iou: 0.2250 d4.dn_loss_cls: 0.1038 d4.dn_loss_bbox: 0.1876 d4.dn_loss_iou: 0.2233 d1.loss_lmm_region: 0.2627 loss_lmm_image: 0.9452 +2024/11/07 06:40:38 - mmengine - INFO - Iter(train) [ 11300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:37:18 time: 1.0244 data_time: 0.0169 memory: 23287 grad_norm: 23.8375 loss: 10.2827 loss_cls: 0.3390 loss_bbox: 0.1355 loss_iou: 0.2707 d0.loss_cls: 0.3784 d0.loss_bbox: 0.1538 d0.loss_iou: 0.2921 d1.loss_cls: 0.3615 d1.loss_bbox: 0.1451 d1.loss_iou: 0.2816 d2.loss_cls: 0.3547 d2.loss_bbox: 0.1356 d2.loss_iou: 0.2743 d3.loss_cls: 0.3482 d3.loss_bbox: 0.1344 d3.loss_iou: 0.2690 d4.loss_cls: 0.3393 d4.loss_bbox: 0.1357 d4.loss_iou: 0.2730 enc_loss_cls: 0.3937 enc_loss_bbox: 0.1704 enc_loss_iou: 0.3188 dn_loss_cls: 0.1079 dn_loss_bbox: 0.1675 dn_loss_iou: 0.2224 d0.dn_loss_cls: 0.2019 d0.dn_loss_bbox: 0.3267 d0.dn_loss_iou: 0.3782 d1.dn_loss_cls: 0.1487 d1.dn_loss_bbox: 0.2029 d1.dn_loss_iou: 0.2588 d2.dn_loss_cls: 0.1304 d2.dn_loss_bbox: 0.1781 d2.dn_loss_iou: 0.2330 d3.dn_loss_cls: 0.1159 d3.dn_loss_bbox: 0.1693 d3.dn_loss_iou: 0.2242 d4.dn_loss_cls: 0.1085 d4.dn_loss_bbox: 0.1675 d4.dn_loss_iou: 0.2223 d1.loss_lmm_region: 0.2378 loss_lmm_image: 0.9762 +2024/11/07 06:42:20 - mmengine - INFO - Iter(train) [ 11400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:35:29 time: 1.0286 data_time: 0.0170 memory: 24037 grad_norm: 23.9563 loss: 9.5682 loss_cls: 0.3065 loss_bbox: 0.1389 loss_iou: 0.2365 d0.loss_cls: 0.3383 d0.loss_bbox: 0.1500 d0.loss_iou: 0.2509 d1.loss_cls: 0.3227 d1.loss_bbox: 0.1411 d1.loss_iou: 0.2436 d2.loss_cls: 0.3166 d2.loss_bbox: 0.1406 d2.loss_iou: 0.2389 d3.loss_cls: 0.3090 d3.loss_bbox: 0.1391 d3.loss_iou: 0.2361 d4.loss_cls: 0.3079 d4.loss_bbox: 0.1392 d4.loss_iou: 0.2362 enc_loss_cls: 0.3516 enc_loss_bbox: 0.1665 enc_loss_iou: 0.2767 dn_loss_cls: 0.1180 dn_loss_bbox: 0.1558 dn_loss_iou: 0.2084 d0.dn_loss_cls: 0.2060 d0.dn_loss_bbox: 0.3077 d0.dn_loss_iou: 0.3558 d1.dn_loss_cls: 0.1484 d1.dn_loss_bbox: 0.1874 d1.dn_loss_iou: 0.2393 d2.dn_loss_cls: 0.1305 d2.dn_loss_bbox: 0.1653 d2.dn_loss_iou: 0.2174 d3.dn_loss_cls: 0.1248 d3.dn_loss_bbox: 0.1574 d3.dn_loss_iou: 0.2100 d4.dn_loss_cls: 0.1190 d4.dn_loss_bbox: 0.1557 d4.dn_loss_iou: 0.2084 d1.loss_lmm_region: 0.2270 loss_lmm_image: 0.9387 +2024/11/07 06:44:03 - mmengine - INFO - Iter(train) [ 11500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:33:44 time: 1.0207 data_time: 0.0171 memory: 23303 grad_norm: 22.2135 loss: 9.7694 loss_cls: 0.2915 loss_bbox: 0.1395 loss_iou: 0.2495 d0.loss_cls: 0.3330 d0.loss_bbox: 0.1514 d0.loss_iou: 0.2664 d1.loss_cls: 0.3118 d1.loss_bbox: 0.1463 d1.loss_iou: 0.2562 d2.loss_cls: 0.3057 d2.loss_bbox: 0.1399 d2.loss_iou: 0.2493 d3.loss_cls: 0.2957 d3.loss_bbox: 0.1395 d3.loss_iou: 0.2511 d4.loss_cls: 0.2904 d4.loss_bbox: 0.1402 d4.loss_iou: 0.2499 enc_loss_cls: 0.3394 enc_loss_bbox: 0.1704 enc_loss_iou: 0.2924 dn_loss_cls: 0.1098 dn_loss_bbox: 0.1812 dn_loss_iou: 0.2213 d0.dn_loss_cls: 0.1902 d0.dn_loss_bbox: 0.3489 d0.dn_loss_iou: 0.3816 d1.dn_loss_cls: 0.1408 d1.dn_loss_bbox: 0.2224 d1.dn_loss_iou: 0.2579 d2.dn_loss_cls: 0.1243 d2.dn_loss_bbox: 0.1937 d2.dn_loss_iou: 0.2325 d3.dn_loss_cls: 0.1145 d3.dn_loss_bbox: 0.1833 d3.dn_loss_iou: 0.2232 d4.dn_loss_cls: 0.1105 d4.dn_loss_bbox: 0.1811 d4.dn_loss_iou: 0.2213 d1.loss_lmm_region: 0.1778 loss_lmm_image: 0.9435 +2024/11/07 06:45:47 - mmengine - INFO - Iter(train) [ 11600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:32:15 time: 1.0463 data_time: 0.0171 memory: 23428 grad_norm: 23.4260 loss: 10.3693 loss_cls: 0.3106 loss_bbox: 0.1407 loss_iou: 0.2686 d0.loss_cls: 0.3435 d0.loss_bbox: 0.1526 d0.loss_iou: 0.2888 d1.loss_cls: 0.3269 d1.loss_bbox: 0.1450 d1.loss_iou: 0.2748 d2.loss_cls: 0.3220 d2.loss_bbox: 0.1404 d2.loss_iou: 0.2682 d3.loss_cls: 0.3161 d3.loss_bbox: 0.1411 d3.loss_iou: 0.2718 d4.loss_cls: 0.3163 d4.loss_bbox: 0.1387 d4.loss_iou: 0.2680 enc_loss_cls: 0.3533 enc_loss_bbox: 0.1707 enc_loss_iou: 0.3111 dn_loss_cls: 0.1361 dn_loss_bbox: 0.1866 dn_loss_iou: 0.2451 d0.dn_loss_cls: 0.2239 d0.dn_loss_bbox: 0.3450 d0.dn_loss_iou: 0.3960 d1.dn_loss_cls: 0.1685 d1.dn_loss_bbox: 0.2163 d1.dn_loss_iou: 0.2775 d2.dn_loss_cls: 0.1516 d2.dn_loss_bbox: 0.1933 d2.dn_loss_iou: 0.2525 d3.dn_loss_cls: 0.1426 d3.dn_loss_bbox: 0.1873 d3.dn_loss_iou: 0.2461 d4.dn_loss_cls: 0.1373 d4.dn_loss_bbox: 0.1866 d4.dn_loss_iou: 0.2448 d1.loss_lmm_region: 0.2580 loss_lmm_image: 0.9048 +2024/11/07 06:47:29 - mmengine - INFO - Iter(train) [ 11700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:30:25 time: 1.0198 data_time: 0.0168 memory: 23645 grad_norm: 21.6116 loss: 10.0795 loss_cls: 0.2858 loss_bbox: 0.1455 loss_iou: 0.2817 d0.loss_cls: 0.3316 d0.loss_bbox: 0.1598 d0.loss_iou: 0.2949 d1.loss_cls: 0.3137 d1.loss_bbox: 0.1467 d1.loss_iou: 0.2832 d2.loss_cls: 0.3037 d2.loss_bbox: 0.1412 d2.loss_iou: 0.2800 d3.loss_cls: 0.3023 d3.loss_bbox: 0.1397 d3.loss_iou: 0.2799 d4.loss_cls: 0.2883 d4.loss_bbox: 0.1444 d4.loss_iou: 0.2814 enc_loss_cls: 0.3459 enc_loss_bbox: 0.1728 enc_loss_iou: 0.3154 dn_loss_cls: 0.0970 dn_loss_bbox: 0.1882 dn_loss_iou: 0.2357 d0.dn_loss_cls: 0.1869 d0.dn_loss_bbox: 0.3597 d0.dn_loss_iou: 0.3858 d1.dn_loss_cls: 0.1253 d1.dn_loss_bbox: 0.2175 d1.dn_loss_iou: 0.2674 d2.dn_loss_cls: 0.1076 d2.dn_loss_bbox: 0.1946 d2.dn_loss_iou: 0.2426 d3.dn_loss_cls: 0.0973 d3.dn_loss_bbox: 0.1893 d3.dn_loss_iou: 0.2365 d4.dn_loss_cls: 0.0965 d4.dn_loss_bbox: 0.1883 d4.dn_loss_iou: 0.2357 d1.loss_lmm_region: 0.2272 loss_lmm_image: 0.9623 +2024/11/07 06:49:13 - mmengine - INFO - Iter(train) [ 11800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:28:49 time: 1.0360 data_time: 0.0170 memory: 23562 grad_norm: 20.7065 loss: 10.7369 loss_cls: 0.3285 loss_bbox: 0.1601 loss_iou: 0.3049 d0.loss_cls: 0.3680 d0.loss_bbox: 0.1749 d0.loss_iou: 0.3281 d1.loss_cls: 0.3497 d1.loss_bbox: 0.1631 d1.loss_iou: 0.3117 d2.loss_cls: 0.3428 d2.loss_bbox: 0.1618 d2.loss_iou: 0.3086 d3.loss_cls: 0.3377 d3.loss_bbox: 0.1606 d3.loss_iou: 0.3044 d4.loss_cls: 0.3305 d4.loss_bbox: 0.1600 d4.loss_iou: 0.3058 enc_loss_cls: 0.3848 enc_loss_bbox: 0.1893 enc_loss_iou: 0.3461 dn_loss_cls: 0.1083 dn_loss_bbox: 0.1775 dn_loss_iou: 0.2472 d0.dn_loss_cls: 0.2008 d0.dn_loss_bbox: 0.3351 d0.dn_loss_iou: 0.4054 d1.dn_loss_cls: 0.1401 d1.dn_loss_bbox: 0.2142 d1.dn_loss_iou: 0.2847 d2.dn_loss_cls: 0.1207 d2.dn_loss_bbox: 0.1862 d2.dn_loss_iou: 0.2560 d3.dn_loss_cls: 0.1136 d3.dn_loss_bbox: 0.1793 d3.dn_loss_iou: 0.2491 d4.dn_loss_cls: 0.1093 d4.dn_loss_bbox: 0.1775 d4.dn_loss_iou: 0.2473 d1.loss_lmm_region: 0.2180 loss_lmm_image: 0.9452 +2024/11/07 06:50:55 - mmengine - INFO - Iter(train) [ 11900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:27:03 time: 1.0286 data_time: 0.0169 memory: 23908 grad_norm: 21.6474 loss: 9.6685 loss_cls: 0.3063 loss_bbox: 0.1304 loss_iou: 0.2394 d0.loss_cls: 0.3417 d0.loss_bbox: 0.1437 d0.loss_iou: 0.2511 d1.loss_cls: 0.3177 d1.loss_bbox: 0.1409 d1.loss_iou: 0.2472 d2.loss_cls: 0.3128 d2.loss_bbox: 0.1337 d2.loss_iou: 0.2427 d3.loss_cls: 0.3093 d3.loss_bbox: 0.1314 d3.loss_iou: 0.2404 d4.loss_cls: 0.3049 d4.loss_bbox: 0.1320 d4.loss_iou: 0.2405 enc_loss_cls: 0.3564 enc_loss_bbox: 0.1589 enc_loss_iou: 0.2785 dn_loss_cls: 0.1142 dn_loss_bbox: 0.1700 dn_loss_iou: 0.2214 d0.dn_loss_cls: 0.1866 d0.dn_loss_bbox: 0.3240 d0.dn_loss_iou: 0.3772 d1.dn_loss_cls: 0.1396 d1.dn_loss_bbox: 0.2038 d1.dn_loss_iou: 0.2572 d2.dn_loss_cls: 0.1250 d2.dn_loss_bbox: 0.1783 d2.dn_loss_iou: 0.2302 d3.dn_loss_cls: 0.1167 d3.dn_loss_bbox: 0.1709 d3.dn_loss_iou: 0.2227 d4.dn_loss_cls: 0.1154 d4.dn_loss_bbox: 0.1700 d4.dn_loss_iou: 0.2214 d1.loss_lmm_region: 0.2047 loss_lmm_image: 0.9594 +2024/11/07 06:52:38 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/07 06:52:38 - mmengine - INFO - Iter(train) [ 12000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:25:25 time: 1.0163 data_time: 0.0168 memory: 23403 grad_norm: 22.0448 loss: 8.9611 loss_cls: 0.2748 loss_bbox: 0.1265 loss_iou: 0.2236 d0.loss_cls: 0.3081 d0.loss_bbox: 0.1369 d0.loss_iou: 0.2384 d1.loss_cls: 0.2887 d1.loss_bbox: 0.1318 d1.loss_iou: 0.2306 d2.loss_cls: 0.2826 d2.loss_bbox: 0.1300 d2.loss_iou: 0.2268 d3.loss_cls: 0.2767 d3.loss_bbox: 0.1289 d3.loss_iou: 0.2264 d4.loss_cls: 0.2769 d4.loss_bbox: 0.1266 d4.loss_iou: 0.2236 enc_loss_cls: 0.3252 enc_loss_bbox: 0.1490 enc_loss_iou: 0.2584 dn_loss_cls: 0.1006 dn_loss_bbox: 0.1414 dn_loss_iou: 0.2048 d0.dn_loss_cls: 0.1806 d0.dn_loss_bbox: 0.2885 d0.dn_loss_iou: 0.3573 d1.dn_loss_cls: 0.1266 d1.dn_loss_bbox: 0.1757 d1.dn_loss_iou: 0.2407 d2.dn_loss_cls: 0.1101 d2.dn_loss_bbox: 0.1499 d2.dn_loss_iou: 0.2142 d3.dn_loss_cls: 0.1027 d3.dn_loss_bbox: 0.1430 d3.dn_loss_iou: 0.2063 d4.dn_loss_cls: 0.1016 d4.dn_loss_bbox: 0.1413 d4.dn_loss_iou: 0.2045 d1.loss_lmm_region: 0.2032 loss_lmm_image: 0.9773 +2024/11/07 06:54:22 - mmengine - INFO - Iter(train) [ 12100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:23:53 time: 1.0429 data_time: 0.0170 memory: 23413 grad_norm: 21.6394 loss: 10.3843 loss_cls: 0.3330 loss_bbox: 0.1429 loss_iou: 0.2669 d0.loss_cls: 0.3615 d0.loss_bbox: 0.1654 d0.loss_iou: 0.2913 d1.loss_cls: 0.3472 d1.loss_bbox: 0.1488 d1.loss_iou: 0.2744 d2.loss_cls: 0.3417 d2.loss_bbox: 0.1437 d2.loss_iou: 0.2678 d3.loss_cls: 0.3390 d3.loss_bbox: 0.1427 d3.loss_iou: 0.2662 d4.loss_cls: 0.3342 d4.loss_bbox: 0.1435 d4.loss_iou: 0.2685 enc_loss_cls: 0.3768 enc_loss_bbox: 0.1781 enc_loss_iou: 0.3110 dn_loss_cls: 0.1009 dn_loss_bbox: 0.1859 dn_loss_iou: 0.2426 d0.dn_loss_cls: 0.1984 d0.dn_loss_bbox: 0.3654 d0.dn_loss_iou: 0.4129 d1.dn_loss_cls: 0.1324 d1.dn_loss_bbox: 0.2292 d1.dn_loss_iou: 0.2840 d2.dn_loss_cls: 0.1140 d2.dn_loss_bbox: 0.1973 d2.dn_loss_iou: 0.2543 d3.dn_loss_cls: 0.1064 d3.dn_loss_bbox: 0.1874 d3.dn_loss_iou: 0.2442 d4.dn_loss_cls: 0.1020 d4.dn_loss_bbox: 0.1860 d4.dn_loss_iou: 0.2425 d1.loss_lmm_region: 0.2223 loss_lmm_image: 0.9317 +2024/11/07 06:56:05 - mmengine - INFO - Iter(train) [ 12200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:22:07 time: 1.0169 data_time: 0.0168 memory: 23799 grad_norm: 26.0649 loss: 10.0275 loss_cls: 0.3325 loss_bbox: 0.1342 loss_iou: 0.2696 d0.loss_cls: 0.3687 d0.loss_bbox: 0.1459 d0.loss_iou: 0.2876 d1.loss_cls: 0.3550 d1.loss_bbox: 0.1356 d1.loss_iou: 0.2722 d2.loss_cls: 0.3430 d2.loss_bbox: 0.1348 d2.loss_iou: 0.2732 d3.loss_cls: 0.3400 d3.loss_bbox: 0.1343 d3.loss_iou: 0.2709 d4.loss_cls: 0.3343 d4.loss_bbox: 0.1335 d4.loss_iou: 0.2688 enc_loss_cls: 0.3785 enc_loss_bbox: 0.1611 enc_loss_iou: 0.3051 dn_loss_cls: 0.1104 dn_loss_bbox: 0.1568 dn_loss_iou: 0.2297 d0.dn_loss_cls: 0.1937 d0.dn_loss_bbox: 0.3083 d0.dn_loss_iou: 0.3821 d1.dn_loss_cls: 0.1398 d1.dn_loss_bbox: 0.1922 d1.dn_loss_iou: 0.2690 d2.dn_loss_cls: 0.1240 d2.dn_loss_bbox: 0.1648 d2.dn_loss_iou: 0.2391 d3.dn_loss_cls: 0.1163 d3.dn_loss_bbox: 0.1577 d3.dn_loss_iou: 0.2313 d4.dn_loss_cls: 0.1113 d4.dn_loss_bbox: 0.1568 d4.dn_loss_iou: 0.2298 d1.loss_lmm_region: 0.2416 loss_lmm_image: 0.8939 +2024/11/07 06:57:48 - mmengine - INFO - Iter(train) [ 12300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:20:33 time: 1.0507 data_time: 0.0169 memory: 23074 grad_norm: 22.0856 loss: 8.5785 loss_cls: 0.2747 loss_bbox: 0.0961 loss_iou: 0.2055 d0.loss_cls: 0.3080 d0.loss_bbox: 0.1135 d0.loss_iou: 0.2275 d1.loss_cls: 0.2940 d1.loss_bbox: 0.1029 d1.loss_iou: 0.2136 d2.loss_cls: 0.2820 d2.loss_bbox: 0.1007 d2.loss_iou: 0.2092 d3.loss_cls: 0.2779 d3.loss_bbox: 0.0979 d3.loss_iou: 0.2057 d4.loss_cls: 0.2754 d4.loss_bbox: 0.0953 d4.loss_iou: 0.2053 enc_loss_cls: 0.3171 enc_loss_bbox: 0.1249 enc_loss_iou: 0.2496 dn_loss_cls: 0.0988 dn_loss_bbox: 0.1476 dn_loss_iou: 0.2012 d0.dn_loss_cls: 0.1792 d0.dn_loss_bbox: 0.2985 d0.dn_loss_iou: 0.3587 d1.dn_loss_cls: 0.1267 d1.dn_loss_bbox: 0.1818 d1.dn_loss_iou: 0.2384 d2.dn_loss_cls: 0.1108 d2.dn_loss_bbox: 0.1570 d2.dn_loss_iou: 0.2118 d3.dn_loss_cls: 0.1029 d3.dn_loss_bbox: 0.1490 d3.dn_loss_iou: 0.2031 d4.dn_loss_cls: 0.0991 d4.dn_loss_bbox: 0.1476 d4.dn_loss_iou: 0.2010 d1.loss_lmm_region: 0.1740 loss_lmm_image: 0.9147 +2024/11/07 06:59:31 - mmengine - INFO - Iter(train) [ 12400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:18:48 time: 1.0218 data_time: 0.0169 memory: 23218 grad_norm: 24.6016 loss: 8.5384 loss_cls: 0.2608 loss_bbox: 0.0943 loss_iou: 0.1926 d0.loss_cls: 0.2893 d0.loss_bbox: 0.1052 d0.loss_iou: 0.2089 d1.loss_cls: 0.2732 d1.loss_bbox: 0.0969 d1.loss_iou: 0.1963 d2.loss_cls: 0.2689 d2.loss_bbox: 0.0908 d2.loss_iou: 0.1921 d3.loss_cls: 0.2644 d3.loss_bbox: 0.0920 d3.loss_iou: 0.1928 d4.loss_cls: 0.2615 d4.loss_bbox: 0.0926 d4.loss_iou: 0.1919 enc_loss_cls: 0.3000 enc_loss_bbox: 0.1150 enc_loss_iou: 0.2323 dn_loss_cls: 0.1088 dn_loss_bbox: 0.1594 dn_loss_iou: 0.2036 d0.dn_loss_cls: 0.1925 d0.dn_loss_bbox: 0.3175 d0.dn_loss_iou: 0.3587 d1.dn_loss_cls: 0.1370 d1.dn_loss_bbox: 0.1879 d1.dn_loss_iou: 0.2355 d2.dn_loss_cls: 0.1218 d2.dn_loss_bbox: 0.1651 d2.dn_loss_iou: 0.2120 d3.dn_loss_cls: 0.1159 d3.dn_loss_bbox: 0.1592 d3.dn_loss_iou: 0.2049 d4.dn_loss_cls: 0.1095 d4.dn_loss_bbox: 0.1594 d4.dn_loss_iou: 0.2037 d1.loss_lmm_region: 0.1946 loss_lmm_image: 0.9794 +2024/11/07 07:01:15 - mmengine - INFO - Iter(train) [ 12500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:17:13 time: 1.0359 data_time: 0.0168 memory: 24255 grad_norm: 22.2826 loss: 10.2112 loss_cls: 0.3067 loss_bbox: 0.1440 loss_iou: 0.2753 d0.loss_cls: 0.3514 d0.loss_bbox: 0.1582 d0.loss_iou: 0.2908 d1.loss_cls: 0.3283 d1.loss_bbox: 0.1509 d1.loss_iou: 0.2798 d2.loss_cls: 0.3196 d2.loss_bbox: 0.1452 d2.loss_iou: 0.2770 d3.loss_cls: 0.3099 d3.loss_bbox: 0.1449 d3.loss_iou: 0.2756 d4.loss_cls: 0.3080 d4.loss_bbox: 0.1431 d4.loss_iou: 0.2738 enc_loss_cls: 0.3691 enc_loss_bbox: 0.1686 enc_loss_iou: 0.3086 dn_loss_cls: 0.1025 dn_loss_bbox: 0.1920 dn_loss_iou: 0.2409 d0.dn_loss_cls: 0.1865 d0.dn_loss_bbox: 0.3590 d0.dn_loss_iou: 0.4004 d1.dn_loss_cls: 0.1290 d1.dn_loss_bbox: 0.2333 d1.dn_loss_iou: 0.2787 d2.dn_loss_cls: 0.1134 d2.dn_loss_bbox: 0.2037 d2.dn_loss_iou: 0.2522 d3.dn_loss_cls: 0.1065 d3.dn_loss_bbox: 0.1924 d3.dn_loss_iou: 0.2425 d4.dn_loss_cls: 0.1029 d4.dn_loss_bbox: 0.1919 d4.dn_loss_iou: 0.2410 d1.loss_lmm_region: 0.2064 loss_lmm_image: 0.9074 +2024/11/07 07:02:56 - mmengine - INFO - Iter(train) [ 12600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:15:17 time: 1.0134 data_time: 0.0170 memory: 23070 grad_norm: 23.8916 loss: 11.2876 loss_cls: 0.3496 loss_bbox: 0.1740 loss_iou: 0.2938 d0.loss_cls: 0.3764 d0.loss_bbox: 0.1847 d0.loss_iou: 0.3121 d1.loss_cls: 0.3566 d1.loss_bbox: 0.1772 d1.loss_iou: 0.3007 d2.loss_cls: 0.3595 d2.loss_bbox: 0.1698 d2.loss_iou: 0.2901 d3.loss_cls: 0.3532 d3.loss_bbox: 0.1716 d3.loss_iou: 0.2907 d4.loss_cls: 0.3487 d4.loss_bbox: 0.1724 d4.loss_iou: 0.2932 enc_loss_cls: 0.3898 enc_loss_bbox: 0.1964 enc_loss_iou: 0.3340 dn_loss_cls: 0.1128 dn_loss_bbox: 0.2268 dn_loss_iou: 0.2665 d0.dn_loss_cls: 0.2159 d0.dn_loss_bbox: 0.4060 d0.dn_loss_iou: 0.4322 d1.dn_loss_cls: 0.1475 d1.dn_loss_bbox: 0.2700 d1.dn_loss_iou: 0.3055 d2.dn_loss_cls: 0.1303 d2.dn_loss_bbox: 0.2315 d2.dn_loss_iou: 0.2756 d3.dn_loss_cls: 0.1197 d3.dn_loss_bbox: 0.2281 d3.dn_loss_iou: 0.2682 d4.dn_loss_cls: 0.1140 d4.dn_loss_bbox: 0.2267 d4.dn_loss_iou: 0.2664 d1.loss_lmm_region: 0.2524 loss_lmm_image: 0.8972 +2024/11/07 07:04:40 - mmengine - INFO - Iter(train) [ 12700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:13:47 time: 1.0171 data_time: 0.0169 memory: 23100 grad_norm: 23.2365 loss: 10.5531 loss_cls: 0.3279 loss_bbox: 0.1541 loss_iou: 0.2495 d0.loss_cls: 0.3567 d0.loss_bbox: 0.1756 d0.loss_iou: 0.2714 d1.loss_cls: 0.3404 d1.loss_bbox: 0.1660 d1.loss_iou: 0.2572 d2.loss_cls: 0.3391 d2.loss_bbox: 0.1588 d2.loss_iou: 0.2496 d3.loss_cls: 0.3298 d3.loss_bbox: 0.1572 d3.loss_iou: 0.2506 d4.loss_cls: 0.3291 d4.loss_bbox: 0.1553 d4.loss_iou: 0.2484 enc_loss_cls: 0.3743 enc_loss_bbox: 0.1885 enc_loss_iou: 0.2948 dn_loss_cls: 0.1089 dn_loss_bbox: 0.2070 dn_loss_iou: 0.2433 d0.dn_loss_cls: 0.2133 d0.dn_loss_bbox: 0.4025 d0.dn_loss_iou: 0.4213 d1.dn_loss_cls: 0.1459 d1.dn_loss_bbox: 0.2532 d1.dn_loss_iou: 0.2870 d2.dn_loss_cls: 0.1251 d2.dn_loss_bbox: 0.2206 d2.dn_loss_iou: 0.2553 d3.dn_loss_cls: 0.1149 d3.dn_loss_bbox: 0.2096 d3.dn_loss_iou: 0.2456 d4.dn_loss_cls: 0.1092 d4.dn_loss_bbox: 0.2071 d4.dn_loss_iou: 0.2432 d1.loss_lmm_region: 0.2162 loss_lmm_image: 0.9495 +2024/11/07 07:06:24 - mmengine - INFO - Iter(train) [ 12800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:12:10 time: 1.0418 data_time: 0.0169 memory: 23965 grad_norm: 20.6970 loss: 10.4167 loss_cls: 0.3138 loss_bbox: 0.1569 loss_iou: 0.2638 d0.loss_cls: 0.3446 d0.loss_bbox: 0.1674 d0.loss_iou: 0.2813 d1.loss_cls: 0.3274 d1.loss_bbox: 0.1561 d1.loss_iou: 0.2671 d2.loss_cls: 0.3238 d2.loss_bbox: 0.1546 d2.loss_iou: 0.2650 d3.loss_cls: 0.3208 d3.loss_bbox: 0.1548 d3.loss_iou: 0.2630 d4.loss_cls: 0.3155 d4.loss_bbox: 0.1565 d4.loss_iou: 0.2638 enc_loss_cls: 0.3578 enc_loss_bbox: 0.1804 enc_loss_iou: 0.3019 dn_loss_cls: 0.1199 dn_loss_bbox: 0.1905 dn_loss_iou: 0.2486 d0.dn_loss_cls: 0.2027 d0.dn_loss_bbox: 0.3433 d0.dn_loss_iou: 0.4069 d1.dn_loss_cls: 0.1476 d1.dn_loss_bbox: 0.2276 d1.dn_loss_iou: 0.2852 d2.dn_loss_cls: 0.1312 d2.dn_loss_bbox: 0.2001 d2.dn_loss_iou: 0.2579 d3.dn_loss_cls: 0.1252 d3.dn_loss_bbox: 0.1931 d3.dn_loss_iou: 0.2504 d4.dn_loss_cls: 0.1214 d4.dn_loss_bbox: 0.1906 d4.dn_loss_iou: 0.2485 d1.loss_lmm_region: 0.2326 loss_lmm_image: 0.9570 +2024/11/07 07:08:07 - mmengine - INFO - Iter(train) [ 12900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:10:31 time: 1.0249 data_time: 0.0170 memory: 23538 grad_norm: 21.5011 loss: 10.1173 loss_cls: 0.3159 loss_bbox: 0.1496 loss_iou: 0.2686 d0.loss_cls: 0.3496 d0.loss_bbox: 0.1664 d0.loss_iou: 0.2822 d1.loss_cls: 0.3352 d1.loss_bbox: 0.1568 d1.loss_iou: 0.2715 d2.loss_cls: 0.3287 d2.loss_bbox: 0.1504 d2.loss_iou: 0.2655 d3.loss_cls: 0.3253 d3.loss_bbox: 0.1482 d3.loss_iou: 0.2655 d4.loss_cls: 0.3220 d4.loss_bbox: 0.1465 d4.loss_iou: 0.2655 enc_loss_cls: 0.3702 enc_loss_bbox: 0.1758 enc_loss_iou: 0.2966 dn_loss_cls: 0.1113 dn_loss_bbox: 0.1822 dn_loss_iou: 0.2269 d0.dn_loss_cls: 0.2038 d0.dn_loss_bbox: 0.3323 d0.dn_loss_iou: 0.3716 d1.dn_loss_cls: 0.1476 d1.dn_loss_bbox: 0.2120 d1.dn_loss_iou: 0.2588 d2.dn_loss_cls: 0.1289 d2.dn_loss_bbox: 0.1906 d2.dn_loss_iou: 0.2354 d3.dn_loss_cls: 0.1170 d3.dn_loss_bbox: 0.1831 d3.dn_loss_iou: 0.2279 d4.dn_loss_cls: 0.1116 d4.dn_loss_bbox: 0.1822 d4.dn_loss_iou: 0.2270 d1.loss_lmm_region: 0.2288 loss_lmm_image: 0.8829 +2024/11/07 07:09:51 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/07 07:09:51 - mmengine - INFO - Iter(train) [ 13000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:09:05 time: 1.0574 data_time: 0.0171 memory: 23617 grad_norm: 22.7383 loss: 9.4504 loss_cls: 0.3089 loss_bbox: 0.1199 loss_iou: 0.2304 d0.loss_cls: 0.3328 d0.loss_bbox: 0.1412 d0.loss_iou: 0.2557 d1.loss_cls: 0.3176 d1.loss_bbox: 0.1299 d1.loss_iou: 0.2404 d2.loss_cls: 0.3155 d2.loss_bbox: 0.1217 d2.loss_iou: 0.2326 d3.loss_cls: 0.3126 d3.loss_bbox: 0.1201 d3.loss_iou: 0.2313 d4.loss_cls: 0.3105 d4.loss_bbox: 0.1203 d4.loss_iou: 0.2308 enc_loss_cls: 0.3544 enc_loss_bbox: 0.1522 enc_loss_iou: 0.2677 dn_loss_cls: 0.1022 dn_loss_bbox: 0.1618 dn_loss_iou: 0.2157 d0.dn_loss_cls: 0.1823 d0.dn_loss_bbox: 0.3124 d0.dn_loss_iou: 0.3738 d1.dn_loss_cls: 0.1308 d1.dn_loss_bbox: 0.1922 d1.dn_loss_iou: 0.2501 d2.dn_loss_cls: 0.1150 d2.dn_loss_bbox: 0.1675 d2.dn_loss_iou: 0.2236 d3.dn_loss_cls: 0.1060 d3.dn_loss_bbox: 0.1629 d3.dn_loss_iou: 0.2174 d4.dn_loss_cls: 0.1032 d4.dn_loss_bbox: 0.1618 d4.dn_loss_iou: 0.2158 d1.loss_lmm_region: 0.2353 loss_lmm_image: 0.9742 +2024/11/07 07:11:34 - mmengine - INFO - Iter(train) [ 13100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:07:14 time: 1.0276 data_time: 0.0169 memory: 23603 grad_norm: 21.8134 loss: 11.4121 loss_cls: 0.3794 loss_bbox: 0.1694 loss_iou: 0.3196 d0.loss_cls: 0.4201 d0.loss_bbox: 0.1851 d0.loss_iou: 0.3403 d1.loss_cls: 0.3982 d1.loss_bbox: 0.1756 d1.loss_iou: 0.3318 d2.loss_cls: 0.3954 d2.loss_bbox: 0.1673 d2.loss_iou: 0.3230 d3.loss_cls: 0.3851 d3.loss_bbox: 0.1705 d3.loss_iou: 0.3208 d4.loss_cls: 0.3797 d4.loss_bbox: 0.1700 d4.loss_iou: 0.3203 enc_loss_cls: 0.4319 enc_loss_bbox: 0.1998 enc_loss_iou: 0.3694 dn_loss_cls: 0.1191 dn_loss_bbox: 0.1923 dn_loss_iou: 0.2538 d0.dn_loss_cls: 0.2118 d0.dn_loss_bbox: 0.3321 d0.dn_loss_iou: 0.4070 d1.dn_loss_cls: 0.1547 d1.dn_loss_bbox: 0.2195 d1.dn_loss_iou: 0.2868 d2.dn_loss_cls: 0.1346 d2.dn_loss_bbox: 0.1984 d2.dn_loss_iou: 0.2609 d3.dn_loss_cls: 0.1243 d3.dn_loss_bbox: 0.1926 d3.dn_loss_iou: 0.2544 d4.dn_loss_cls: 0.1205 d4.dn_loss_bbox: 0.1922 d4.dn_loss_iou: 0.2537 d1.loss_lmm_region: 0.2077 loss_lmm_image: 0.9428 +2024/11/07 07:13:16 - mmengine - INFO - Iter(train) [ 13200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:05:32 time: 1.0258 data_time: 0.0170 memory: 23234 grad_norm: 21.2177 loss: 10.3577 loss_cls: 0.3215 loss_bbox: 0.1450 loss_iou: 0.2440 d0.loss_cls: 0.3598 d0.loss_bbox: 0.1620 d0.loss_iou: 0.2604 d1.loss_cls: 0.3425 d1.loss_bbox: 0.1551 d1.loss_iou: 0.2507 d2.loss_cls: 0.3312 d2.loss_bbox: 0.1521 d2.loss_iou: 0.2480 d3.loss_cls: 0.3279 d3.loss_bbox: 0.1461 d3.loss_iou: 0.2436 d4.loss_cls: 0.3250 d4.loss_bbox: 0.1453 d4.loss_iou: 0.2440 enc_loss_cls: 0.3641 enc_loss_bbox: 0.1838 enc_loss_iou: 0.2892 dn_loss_cls: 0.1176 dn_loss_bbox: 0.1951 dn_loss_iou: 0.2374 d0.dn_loss_cls: 0.2154 d0.dn_loss_bbox: 0.3659 d0.dn_loss_iou: 0.4081 d1.dn_loss_cls: 0.1597 d1.dn_loss_bbox: 0.2335 d1.dn_loss_iou: 0.2729 d2.dn_loss_cls: 0.1385 d2.dn_loss_bbox: 0.2058 d2.dn_loss_iou: 0.2476 d3.dn_loss_cls: 0.1260 d3.dn_loss_bbox: 0.1973 d3.dn_loss_iou: 0.2394 d4.dn_loss_cls: 0.1176 d4.dn_loss_bbox: 0.1951 d4.dn_loss_iou: 0.2374 d1.loss_lmm_region: 0.2288 loss_lmm_image: 0.9773 +2024/11/07 07:15:00 - mmengine - INFO - Iter(train) [ 13300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:03:53 time: 1.0345 data_time: 0.0169 memory: 23126 grad_norm: 22.9316 loss: 10.0151 loss_cls: 0.3262 loss_bbox: 0.1504 loss_iou: 0.2723 d0.loss_cls: 0.3665 d0.loss_bbox: 0.1646 d0.loss_iou: 0.2884 d1.loss_cls: 0.3438 d1.loss_bbox: 0.1563 d1.loss_iou: 0.2805 d2.loss_cls: 0.3343 d2.loss_bbox: 0.1537 d2.loss_iou: 0.2738 d3.loss_cls: 0.3297 d3.loss_bbox: 0.1474 d3.loss_iou: 0.2719 d4.loss_cls: 0.3285 d4.loss_bbox: 0.1477 d4.loss_iou: 0.2711 enc_loss_cls: 0.3842 enc_loss_bbox: 0.1790 enc_loss_iou: 0.3125 dn_loss_cls: 0.0965 dn_loss_bbox: 0.1651 dn_loss_iou: 0.2128 d0.dn_loss_cls: 0.1806 d0.dn_loss_bbox: 0.3275 d0.dn_loss_iou: 0.3753 d1.dn_loss_cls: 0.1255 d1.dn_loss_bbox: 0.2024 d1.dn_loss_iou: 0.2520 d2.dn_loss_cls: 0.1112 d2.dn_loss_bbox: 0.1761 d2.dn_loss_iou: 0.2234 d3.dn_loss_cls: 0.1015 d3.dn_loss_bbox: 0.1671 d3.dn_loss_iou: 0.2144 d4.dn_loss_cls: 0.0967 d4.dn_loss_bbox: 0.1651 d4.dn_loss_iou: 0.2128 d1.loss_lmm_region: 0.2232 loss_lmm_image: 0.9032 +2024/11/07 07:16:43 - mmengine - INFO - Iter(train) [ 13400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:02:12 time: 1.0238 data_time: 0.0170 memory: 23883 grad_norm: 22.8092 loss: 9.0052 loss_cls: 0.2616 loss_bbox: 0.1236 loss_iou: 0.2198 d0.loss_cls: 0.2970 d0.loss_bbox: 0.1314 d0.loss_iou: 0.2331 d1.loss_cls: 0.2760 d1.loss_bbox: 0.1267 d1.loss_iou: 0.2252 d2.loss_cls: 0.2711 d2.loss_bbox: 0.1207 d2.loss_iou: 0.2181 d3.loss_cls: 0.2656 d3.loss_bbox: 0.1209 d3.loss_iou: 0.2177 d4.loss_cls: 0.2612 d4.loss_bbox: 0.1245 d4.loss_iou: 0.2188 enc_loss_cls: 0.3060 enc_loss_bbox: 0.1486 enc_loss_iou: 0.2543 dn_loss_cls: 0.0935 dn_loss_bbox: 0.1761 dn_loss_iou: 0.2212 d0.dn_loss_cls: 0.1804 d0.dn_loss_bbox: 0.3433 d0.dn_loss_iou: 0.3840 d1.dn_loss_cls: 0.1251 d1.dn_loss_bbox: 0.2088 d1.dn_loss_iou: 0.2553 d2.dn_loss_cls: 0.1099 d2.dn_loss_bbox: 0.1839 d2.dn_loss_iou: 0.2296 d3.dn_loss_cls: 0.0991 d3.dn_loss_bbox: 0.1776 d3.dn_loss_iou: 0.2227 d4.dn_loss_cls: 0.0938 d4.dn_loss_bbox: 0.1761 d4.dn_loss_iou: 0.2213 d1.loss_lmm_region: 0.2008 loss_lmm_image: 0.8811 +2024/11/07 07:18:26 - mmengine - INFO - Iter(train) [ 13500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:00:32 time: 1.0459 data_time: 0.0171 memory: 24044 grad_norm: 22.7679 loss: 10.6685 loss_cls: 0.3447 loss_bbox: 0.1590 loss_iou: 0.3177 d0.loss_cls: 0.3780 d0.loss_bbox: 0.1770 d0.loss_iou: 0.3404 d1.loss_cls: 0.3665 d1.loss_bbox: 0.1611 d1.loss_iou: 0.3226 d2.loss_cls: 0.3581 d2.loss_bbox: 0.1563 d2.loss_iou: 0.3166 d3.loss_cls: 0.3548 d3.loss_bbox: 0.1589 d3.loss_iou: 0.3159 d4.loss_cls: 0.3494 d4.loss_bbox: 0.1576 d4.loss_iou: 0.3144 enc_loss_cls: 0.3936 enc_loss_bbox: 0.1889 enc_loss_iou: 0.3618 dn_loss_cls: 0.1135 dn_loss_bbox: 0.1510 dn_loss_iou: 0.2408 d0.dn_loss_cls: 0.1968 d0.dn_loss_bbox: 0.2919 d0.dn_loss_iou: 0.3998 d1.dn_loss_cls: 0.1452 d1.dn_loss_bbox: 0.1827 d1.dn_loss_iou: 0.2761 d2.dn_loss_cls: 0.1251 d2.dn_loss_bbox: 0.1596 d2.dn_loss_iou: 0.2495 d3.dn_loss_cls: 0.1176 d3.dn_loss_bbox: 0.1520 d3.dn_loss_iou: 0.2422 d4.dn_loss_cls: 0.1145 d4.dn_loss_bbox: 0.1511 d4.dn_loss_iou: 0.2409 d1.loss_lmm_region: 0.1836 loss_lmm_image: 0.9415 +2024/11/07 07:20:09 - mmengine - INFO - Iter(train) [ 13600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:58:52 time: 1.0229 data_time: 0.0171 memory: 24242 grad_norm: 27.0045 loss: 10.1094 loss_cls: 0.3364 loss_bbox: 0.1449 loss_iou: 0.2582 d0.loss_cls: 0.3701 d0.loss_bbox: 0.1653 d0.loss_iou: 0.2815 d1.loss_cls: 0.3575 d1.loss_bbox: 0.1476 d1.loss_iou: 0.2605 d2.loss_cls: 0.3427 d2.loss_bbox: 0.1455 d2.loss_iou: 0.2562 d3.loss_cls: 0.3440 d3.loss_bbox: 0.1428 d3.loss_iou: 0.2550 d4.loss_cls: 0.3359 d4.loss_bbox: 0.1465 d4.loss_iou: 0.2589 enc_loss_cls: 0.3807 enc_loss_bbox: 0.1803 enc_loss_iou: 0.3051 dn_loss_cls: 0.1167 dn_loss_bbox: 0.1653 dn_loss_iou: 0.2185 d0.dn_loss_cls: 0.2076 d0.dn_loss_bbox: 0.3216 d0.dn_loss_iou: 0.3679 d1.dn_loss_cls: 0.1505 d1.dn_loss_bbox: 0.1971 d1.dn_loss_iou: 0.2508 d2.dn_loss_cls: 0.1321 d2.dn_loss_bbox: 0.1754 d2.dn_loss_iou: 0.2291 d3.dn_loss_cls: 0.1231 d3.dn_loss_bbox: 0.1671 d3.dn_loss_iou: 0.2207 d4.dn_loss_cls: 0.1171 d4.dn_loss_bbox: 0.1653 d4.dn_loss_iou: 0.2184 d1.loss_lmm_region: 0.1997 loss_lmm_image: 0.9497 +2024/11/07 07:21:53 - mmengine - INFO - Iter(train) [ 13700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:57:17 time: 1.0450 data_time: 0.0171 memory: 23994 grad_norm: 21.3836 loss: 9.4363 loss_cls: 0.2915 loss_bbox: 0.1265 loss_iou: 0.2531 d0.loss_cls: 0.3200 d0.loss_bbox: 0.1446 d0.loss_iou: 0.2777 d1.loss_cls: 0.3073 d1.loss_bbox: 0.1342 d1.loss_iou: 0.2617 d2.loss_cls: 0.3017 d2.loss_bbox: 0.1283 d2.loss_iou: 0.2532 d3.loss_cls: 0.2970 d3.loss_bbox: 0.1272 d3.loss_iou: 0.2525 d4.loss_cls: 0.2906 d4.loss_bbox: 0.1281 d4.loss_iou: 0.2538 enc_loss_cls: 0.3391 enc_loss_bbox: 0.1569 enc_loss_iou: 0.2934 dn_loss_cls: 0.0908 dn_loss_bbox: 0.1533 dn_loss_iou: 0.2227 d0.dn_loss_cls: 0.1853 d0.dn_loss_bbox: 0.2984 d0.dn_loss_iou: 0.3707 d1.dn_loss_cls: 0.1295 d1.dn_loss_bbox: 0.1802 d1.dn_loss_iou: 0.2531 d2.dn_loss_cls: 0.1094 d2.dn_loss_bbox: 0.1618 d2.dn_loss_iou: 0.2310 d3.dn_loss_cls: 0.0961 d3.dn_loss_bbox: 0.1552 d3.dn_loss_iou: 0.2243 d4.dn_loss_cls: 0.0918 d4.dn_loss_bbox: 0.1534 d4.dn_loss_iou: 0.2227 d1.loss_lmm_region: 0.2071 loss_lmm_image: 0.9610 +2024/11/07 07:23:35 - mmengine - INFO - Iter(train) [ 13800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:55:24 time: 1.0186 data_time: 0.0172 memory: 23298 grad_norm: 25.1305 loss: 9.9154 loss_cls: 0.3187 loss_bbox: 0.1357 loss_iou: 0.2628 d0.loss_cls: 0.3592 d0.loss_bbox: 0.1444 d0.loss_iou: 0.2803 d1.loss_cls: 0.3441 d1.loss_bbox: 0.1345 d1.loss_iou: 0.2647 d2.loss_cls: 0.3285 d2.loss_bbox: 0.1350 d2.loss_iou: 0.2620 d3.loss_cls: 0.3265 d3.loss_bbox: 0.1347 d3.loss_iou: 0.2606 d4.loss_cls: 0.3219 d4.loss_bbox: 0.1357 d4.loss_iou: 0.2624 enc_loss_cls: 0.3720 enc_loss_bbox: 0.1632 enc_loss_iou: 0.3026 dn_loss_cls: 0.1454 dn_loss_bbox: 0.1475 dn_loss_iou: 0.2161 d0.dn_loss_cls: 0.2059 d0.dn_loss_bbox: 0.2960 d0.dn_loss_iou: 0.3741 d1.dn_loss_cls: 0.1730 d1.dn_loss_bbox: 0.1852 d1.dn_loss_iou: 0.2543 d2.dn_loss_cls: 0.1604 d2.dn_loss_bbox: 0.1580 d2.dn_loss_iou: 0.2266 d3.dn_loss_cls: 0.1529 d3.dn_loss_bbox: 0.1488 d3.dn_loss_iou: 0.2175 d4.dn_loss_cls: 0.1504 d4.dn_loss_bbox: 0.1475 d4.dn_loss_iou: 0.2161 d1.loss_lmm_region: 0.2009 loss_lmm_image: 0.8894 +2024/11/07 07:25:18 - mmengine - INFO - Iter(train) [ 13900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:53:50 time: 1.0323 data_time: 0.0171 memory: 23394 grad_norm: 21.0345 loss: 9.9828 loss_cls: 0.3114 loss_bbox: 0.1363 loss_iou: 0.2643 d0.loss_cls: 0.3577 d0.loss_bbox: 0.1489 d0.loss_iou: 0.2852 d1.loss_cls: 0.3339 d1.loss_bbox: 0.1401 d1.loss_iou: 0.2710 d2.loss_cls: 0.3239 d2.loss_bbox: 0.1347 d2.loss_iou: 0.2664 d3.loss_cls: 0.3191 d3.loss_bbox: 0.1350 d3.loss_iou: 0.2621 d4.loss_cls: 0.3129 d4.loss_bbox: 0.1361 d4.loss_iou: 0.2640 enc_loss_cls: 0.3793 enc_loss_bbox: 0.1631 enc_loss_iou: 0.3086 dn_loss_cls: 0.1066 dn_loss_bbox: 0.1747 dn_loss_iou: 0.2251 d0.dn_loss_cls: 0.1918 d0.dn_loss_bbox: 0.3304 d0.dn_loss_iou: 0.3768 d1.dn_loss_cls: 0.1351 d1.dn_loss_bbox: 0.2075 d1.dn_loss_iou: 0.2601 d2.dn_loss_cls: 0.1160 d2.dn_loss_bbox: 0.1829 d2.dn_loss_iou: 0.2335 d3.dn_loss_cls: 0.1112 d3.dn_loss_bbox: 0.1752 d3.dn_loss_iou: 0.2262 d4.dn_loss_cls: 0.1073 d4.dn_loss_bbox: 0.1748 d4.dn_loss_iou: 0.2251 d1.loss_lmm_region: 0.2083 loss_lmm_image: 0.9603 +2024/11/07 07:27:02 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/07 07:27:02 - mmengine - INFO - Iter(train) [ 14000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:52:09 time: 1.0388 data_time: 0.0172 memory: 24014 grad_norm: 22.8493 loss: 10.5590 loss_cls: 0.3482 loss_bbox: 0.1512 loss_iou: 0.2648 d0.loss_cls: 0.3840 d0.loss_bbox: 0.1584 d0.loss_iou: 0.2778 d1.loss_cls: 0.3648 d1.loss_bbox: 0.1547 d1.loss_iou: 0.2701 d2.loss_cls: 0.3634 d2.loss_bbox: 0.1495 d2.loss_iou: 0.2642 d3.loss_cls: 0.3539 d3.loss_bbox: 0.1514 d3.loss_iou: 0.2646 d4.loss_cls: 0.3479 d4.loss_bbox: 0.1515 d4.loss_iou: 0.2663 enc_loss_cls: 0.3929 enc_loss_bbox: 0.1826 enc_loss_iou: 0.3084 dn_loss_cls: 0.1396 dn_loss_bbox: 0.1659 dn_loss_iou: 0.2316 d0.dn_loss_cls: 0.2279 d0.dn_loss_bbox: 0.3180 d0.dn_loss_iou: 0.3882 d1.dn_loss_cls: 0.1731 d1.dn_loss_bbox: 0.2017 d1.dn_loss_iou: 0.2665 d2.dn_loss_cls: 0.1546 d2.dn_loss_bbox: 0.1738 d2.dn_loss_iou: 0.2402 d3.dn_loss_cls: 0.1448 d3.dn_loss_bbox: 0.1673 d3.dn_loss_iou: 0.2328 d4.dn_loss_cls: 0.1411 d4.dn_loss_bbox: 0.1658 d4.dn_loss_iou: 0.2315 d1.loss_lmm_region: 0.2361 loss_lmm_image: 0.9881 +2024/11/07 07:28:45 - mmengine - INFO - Iter(train) [ 14100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:50:30 time: 1.0144 data_time: 0.0174 memory: 23716 grad_norm: 21.1151 loss: 9.4656 loss_cls: 0.2874 loss_bbox: 0.1209 loss_iou: 0.2301 d0.loss_cls: 0.3143 d0.loss_bbox: 0.1380 d0.loss_iou: 0.2518 d1.loss_cls: 0.2974 d1.loss_bbox: 0.1315 d1.loss_iou: 0.2427 d2.loss_cls: 0.2935 d2.loss_bbox: 0.1242 d2.loss_iou: 0.2351 d3.loss_cls: 0.2906 d3.loss_bbox: 0.1220 d3.loss_iou: 0.2332 d4.loss_cls: 0.2877 d4.loss_bbox: 0.1222 d4.loss_iou: 0.2314 enc_loss_cls: 0.3291 enc_loss_bbox: 0.1482 enc_loss_iou: 0.2753 dn_loss_cls: 0.1015 dn_loss_bbox: 0.1757 dn_loss_iou: 0.2272 d0.dn_loss_cls: 0.1865 d0.dn_loss_bbox: 0.3463 d0.dn_loss_iou: 0.3876 d1.dn_loss_cls: 0.1296 d1.dn_loss_bbox: 0.2194 d1.dn_loss_iou: 0.2643 d2.dn_loss_cls: 0.1167 d2.dn_loss_bbox: 0.1842 d2.dn_loss_iou: 0.2361 d3.dn_loss_cls: 0.1063 d3.dn_loss_bbox: 0.1774 d3.dn_loss_iou: 0.2289 d4.dn_loss_cls: 0.1025 d4.dn_loss_bbox: 0.1758 d4.dn_loss_iou: 0.2272 d1.loss_lmm_region: 0.2162 loss_lmm_image: 0.9496 +2024/11/07 07:30:28 - mmengine - INFO - Iter(train) [ 14200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:48:53 time: 1.0371 data_time: 0.0170 memory: 24332 grad_norm: 25.2327 loss: 9.5217 loss_cls: 0.2914 loss_bbox: 0.1348 loss_iou: 0.2719 d0.loss_cls: 0.3369 d0.loss_bbox: 0.1438 d0.loss_iou: 0.2805 d1.loss_cls: 0.3060 d1.loss_bbox: 0.1411 d1.loss_iou: 0.2758 d2.loss_cls: 0.3013 d2.loss_bbox: 0.1365 d2.loss_iou: 0.2700 d3.loss_cls: 0.2958 d3.loss_bbox: 0.1361 d3.loss_iou: 0.2720 d4.loss_cls: 0.2921 d4.loss_bbox: 0.1355 d4.loss_iou: 0.2709 enc_loss_cls: 0.3416 enc_loss_bbox: 0.1624 enc_loss_iou: 0.3132 dn_loss_cls: 0.0862 dn_loss_bbox: 0.1575 dn_loss_iou: 0.2093 d0.dn_loss_cls: 0.1731 d0.dn_loss_bbox: 0.3018 d0.dn_loss_iou: 0.3533 d1.dn_loss_cls: 0.1171 d1.dn_loss_bbox: 0.1931 d1.dn_loss_iou: 0.2436 d2.dn_loss_cls: 0.1019 d2.dn_loss_bbox: 0.1675 d2.dn_loss_iou: 0.2186 d3.dn_loss_cls: 0.0899 d3.dn_loss_bbox: 0.1589 d3.dn_loss_iou: 0.2106 d4.dn_loss_cls: 0.0865 d4.dn_loss_bbox: 0.1575 d4.dn_loss_iou: 0.2093 d1.loss_lmm_region: 0.2216 loss_lmm_image: 0.9550 +2024/11/07 07:32:11 - mmengine - INFO - Iter(train) [ 14300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:47:11 time: 1.0247 data_time: 0.0171 memory: 23194 grad_norm: 29.0866 loss: 9.9157 loss_cls: 0.2897 loss_bbox: 0.1426 loss_iou: 0.2741 d0.loss_cls: 0.3238 d0.loss_bbox: 0.1528 d0.loss_iou: 0.2906 d1.loss_cls: 0.3094 d1.loss_bbox: 0.1481 d1.loss_iou: 0.2837 d2.loss_cls: 0.3005 d2.loss_bbox: 0.1447 d2.loss_iou: 0.2784 d3.loss_cls: 0.2965 d3.loss_bbox: 0.1437 d3.loss_iou: 0.2765 d4.loss_cls: 0.2917 d4.loss_bbox: 0.1431 d4.loss_iou: 0.2751 enc_loss_cls: 0.3333 enc_loss_bbox: 0.1727 enc_loss_iou: 0.3139 dn_loss_cls: 0.0974 dn_loss_bbox: 0.1708 dn_loss_iou: 0.2450 d0.dn_loss_cls: 0.1824 d0.dn_loss_bbox: 0.3276 d0.dn_loss_iou: 0.4017 d1.dn_loss_cls: 0.1274 d1.dn_loss_bbox: 0.2018 d1.dn_loss_iou: 0.2805 d2.dn_loss_cls: 0.1097 d2.dn_loss_bbox: 0.1799 d2.dn_loss_iou: 0.2544 d3.dn_loss_cls: 0.1029 d3.dn_loss_bbox: 0.1713 d3.dn_loss_iou: 0.2461 d4.dn_loss_cls: 0.0979 d4.dn_loss_bbox: 0.1707 d4.dn_loss_iou: 0.2450 d1.loss_lmm_region: 0.1837 loss_lmm_image: 0.9342 +2024/11/07 07:33:55 - mmengine - INFO - Iter(train) [ 14400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:45:39 time: 1.0534 data_time: 0.0171 memory: 23454 grad_norm: 23.3606 loss: 10.5617 loss_cls: 0.3393 loss_bbox: 0.1460 loss_iou: 0.2808 d0.loss_cls: 0.3776 d0.loss_bbox: 0.1624 d0.loss_iou: 0.3056 d1.loss_cls: 0.3621 d1.loss_bbox: 0.1480 d1.loss_iou: 0.2881 d2.loss_cls: 0.3493 d2.loss_bbox: 0.1451 d2.loss_iou: 0.2871 d3.loss_cls: 0.3499 d3.loss_bbox: 0.1404 d3.loss_iou: 0.2785 d4.loss_cls: 0.3441 d4.loss_bbox: 0.1434 d4.loss_iou: 0.2808 enc_loss_cls: 0.3881 enc_loss_bbox: 0.1778 enc_loss_iou: 0.3282 dn_loss_cls: 0.1426 dn_loss_bbox: 0.1695 dn_loss_iou: 0.2278 d0.dn_loss_cls: 0.2141 d0.dn_loss_bbox: 0.3288 d0.dn_loss_iou: 0.3872 d1.dn_loss_cls: 0.1686 d1.dn_loss_bbox: 0.2062 d1.dn_loss_iou: 0.2635 d2.dn_loss_cls: 0.1565 d2.dn_loss_bbox: 0.1770 d2.dn_loss_iou: 0.2368 d3.dn_loss_cls: 0.1512 d3.dn_loss_bbox: 0.1703 d3.dn_loss_iou: 0.2295 d4.dn_loss_cls: 0.1456 d4.dn_loss_bbox: 0.1693 d4.dn_loss_iou: 0.2278 d1.loss_lmm_region: 0.2401 loss_lmm_image: 0.9267 +2024/11/07 07:35:38 - mmengine - INFO - Iter(train) [ 14500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:43:53 time: 1.0272 data_time: 0.0171 memory: 23825 grad_norm: 23.1452 loss: 11.4580 loss_cls: 0.3796 loss_bbox: 0.1622 loss_iou: 0.3199 d0.loss_cls: 0.4138 d0.loss_bbox: 0.1785 d0.loss_iou: 0.3397 d1.loss_cls: 0.3857 d1.loss_bbox: 0.1759 d1.loss_iou: 0.3311 d2.loss_cls: 0.3864 d2.loss_bbox: 0.1641 d2.loss_iou: 0.3203 d3.loss_cls: 0.3792 d3.loss_bbox: 0.1632 d3.loss_iou: 0.3196 d4.loss_cls: 0.3805 d4.loss_bbox: 0.1622 d4.loss_iou: 0.3190 enc_loss_cls: 0.4222 enc_loss_bbox: 0.1995 enc_loss_iou: 0.3621 dn_loss_cls: 0.1152 dn_loss_bbox: 0.2102 dn_loss_iou: 0.2584 d0.dn_loss_cls: 0.2067 d0.dn_loss_bbox: 0.3976 d0.dn_loss_iou: 0.4312 d1.dn_loss_cls: 0.1480 d1.dn_loss_bbox: 0.2509 d1.dn_loss_iou: 0.2990 d2.dn_loss_cls: 0.1316 d2.dn_loss_bbox: 0.2194 d2.dn_loss_iou: 0.2683 d3.dn_loss_cls: 0.1214 d3.dn_loss_bbox: 0.2106 d3.dn_loss_iou: 0.2596 d4.dn_loss_cls: 0.1153 d4.dn_loss_bbox: 0.2102 d4.dn_loss_iou: 0.2583 d1.loss_lmm_region: 0.1976 loss_lmm_image: 0.8838 +2024/11/07 07:37:22 - mmengine - INFO - Iter(train) [ 14600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:42:18 time: 1.0291 data_time: 0.0172 memory: 23525 grad_norm: 21.4279 loss: 9.7336 loss_cls: 0.2822 loss_bbox: 0.1310 loss_iou: 0.2398 d0.loss_cls: 0.3130 d0.loss_bbox: 0.1464 d0.loss_iou: 0.2544 d1.loss_cls: 0.2996 d1.loss_bbox: 0.1381 d1.loss_iou: 0.2469 d2.loss_cls: 0.2955 d2.loss_bbox: 0.1302 d2.loss_iou: 0.2441 d3.loss_cls: 0.2914 d3.loss_bbox: 0.1313 d3.loss_iou: 0.2418 d4.loss_cls: 0.2851 d4.loss_bbox: 0.1310 d4.loss_iou: 0.2395 enc_loss_cls: 0.3275 enc_loss_bbox: 0.1628 enc_loss_iou: 0.2816 dn_loss_cls: 0.1143 dn_loss_bbox: 0.1937 dn_loss_iou: 0.2312 d0.dn_loss_cls: 0.2010 d0.dn_loss_bbox: 0.3691 d0.dn_loss_iou: 0.3926 d1.dn_loss_cls: 0.1469 d1.dn_loss_bbox: 0.2333 d1.dn_loss_iou: 0.2679 d2.dn_loss_cls: 0.1292 d2.dn_loss_bbox: 0.2053 d2.dn_loss_iou: 0.2412 d3.dn_loss_cls: 0.1192 d3.dn_loss_bbox: 0.1965 d3.dn_loss_iou: 0.2331 d4.dn_loss_cls: 0.1143 d4.dn_loss_bbox: 0.1938 d4.dn_loss_iou: 0.2311 d1.loss_lmm_region: 0.1982 loss_lmm_image: 0.9087 +2024/11/07 07:39:05 - mmengine - INFO - Iter(train) [ 14700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:40:39 time: 1.0422 data_time: 0.0173 memory: 23832 grad_norm: 22.6108 loss: 9.6562 loss_cls: 0.2750 loss_bbox: 0.1390 loss_iou: 0.2399 d0.loss_cls: 0.3036 d0.loss_bbox: 0.1483 d0.loss_iou: 0.2537 d1.loss_cls: 0.2913 d1.loss_bbox: 0.1415 d1.loss_iou: 0.2446 d2.loss_cls: 0.2874 d2.loss_bbox: 0.1376 d2.loss_iou: 0.2410 d3.loss_cls: 0.2811 d3.loss_bbox: 0.1366 d3.loss_iou: 0.2403 d4.loss_cls: 0.2748 d4.loss_bbox: 0.1386 d4.loss_iou: 0.2419 enc_loss_cls: 0.3214 enc_loss_bbox: 0.1638 enc_loss_iou: 0.2747 dn_loss_cls: 0.1068 dn_loss_bbox: 0.1879 dn_loss_iou: 0.2308 d0.dn_loss_cls: 0.2006 d0.dn_loss_bbox: 0.3392 d0.dn_loss_iou: 0.3774 d1.dn_loss_cls: 0.1427 d1.dn_loss_bbox: 0.2221 d1.dn_loss_iou: 0.2627 d2.dn_loss_cls: 0.1235 d2.dn_loss_bbox: 0.1964 d2.dn_loss_iou: 0.2383 d3.dn_loss_cls: 0.1145 d3.dn_loss_bbox: 0.1889 d3.dn_loss_iou: 0.2319 d4.dn_loss_cls: 0.1083 d4.dn_loss_bbox: 0.1880 d4.dn_loss_iou: 0.2310 d1.loss_lmm_region: 0.2285 loss_lmm_image: 0.9608 +2024/11/07 07:40:48 - mmengine - INFO - Iter(train) [ 14800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:38:52 time: 1.0085 data_time: 0.0171 memory: 23536 grad_norm: 23.9750 loss: 9.2585 loss_cls: 0.2861 loss_bbox: 0.1238 loss_iou: 0.2445 d0.loss_cls: 0.3143 d0.loss_bbox: 0.1404 d0.loss_iou: 0.2658 d1.loss_cls: 0.3010 d1.loss_bbox: 0.1247 d1.loss_iou: 0.2510 d2.loss_cls: 0.2956 d2.loss_bbox: 0.1237 d2.loss_iou: 0.2477 d3.loss_cls: 0.2905 d3.loss_bbox: 0.1226 d3.loss_iou: 0.2441 d4.loss_cls: 0.2894 d4.loss_bbox: 0.1233 d4.loss_iou: 0.2444 enc_loss_cls: 0.3215 enc_loss_bbox: 0.1569 enc_loss_iou: 0.2934 dn_loss_cls: 0.0922 dn_loss_bbox: 0.1602 dn_loss_iou: 0.2294 d0.dn_loss_cls: 0.1773 d0.dn_loss_bbox: 0.3066 d0.dn_loss_iou: 0.3876 d1.dn_loss_cls: 0.1256 d1.dn_loss_bbox: 0.1919 d1.dn_loss_iou: 0.2648 d2.dn_loss_cls: 0.1060 d2.dn_loss_bbox: 0.1673 d2.dn_loss_iou: 0.2365 d3.dn_loss_cls: 0.0964 d3.dn_loss_bbox: 0.1603 d3.dn_loss_iou: 0.2303 d4.dn_loss_cls: 0.0932 d4.dn_loss_bbox: 0.1601 d4.dn_loss_iou: 0.2295 d1.loss_lmm_region: 0.1630 loss_lmm_image: 0.8759 +2024/11/07 07:42:31 - mmengine - INFO - Iter(train) [ 14900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:37:13 time: 1.0455 data_time: 0.0171 memory: 23016 grad_norm: 23.9589 loss: 9.4441 loss_cls: 0.2998 loss_bbox: 0.1328 loss_iou: 0.2344 d0.loss_cls: 0.3292 d0.loss_bbox: 0.1408 d0.loss_iou: 0.2463 d1.loss_cls: 0.3144 d1.loss_bbox: 0.1390 d1.loss_iou: 0.2399 d2.loss_cls: 0.3137 d2.loss_bbox: 0.1323 d2.loss_iou: 0.2347 d3.loss_cls: 0.3087 d3.loss_bbox: 0.1301 d3.loss_iou: 0.2319 d4.loss_cls: 0.3023 d4.loss_bbox: 0.1316 d4.loss_iou: 0.2341 enc_loss_cls: 0.3407 enc_loss_bbox: 0.1543 enc_loss_iou: 0.2687 dn_loss_cls: 0.1099 dn_loss_bbox: 0.1618 dn_loss_iou: 0.2118 d0.dn_loss_cls: 0.1964 d0.dn_loss_bbox: 0.3325 d0.dn_loss_iou: 0.3676 d1.dn_loss_cls: 0.1437 d1.dn_loss_bbox: 0.1948 d1.dn_loss_iou: 0.2470 d2.dn_loss_cls: 0.1290 d2.dn_loss_bbox: 0.1704 d2.dn_loss_iou: 0.2201 d3.dn_loss_cls: 0.1162 d3.dn_loss_bbox: 0.1613 d3.dn_loss_iou: 0.2126 d4.dn_loss_cls: 0.1098 d4.dn_loss_bbox: 0.1618 d4.dn_loss_iou: 0.2118 d1.loss_lmm_region: 0.2164 loss_lmm_image: 0.9095 +2024/11/07 07:44:13 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/07 07:44:13 - mmengine - INFO - Iter(train) [ 15000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:35:19 time: 1.0165 data_time: 0.0171 memory: 23440 grad_norm: 23.5786 loss: 9.4834 loss_cls: 0.3286 loss_bbox: 0.1228 loss_iou: 0.2140 d0.loss_cls: 0.3684 d0.loss_bbox: 0.1420 d0.loss_iou: 0.2392 d1.loss_cls: 0.3524 d1.loss_bbox: 0.1309 d1.loss_iou: 0.2201 d2.loss_cls: 0.3412 d2.loss_bbox: 0.1241 d2.loss_iou: 0.2146 d3.loss_cls: 0.3371 d3.loss_bbox: 0.1225 d3.loss_iou: 0.2141 d4.loss_cls: 0.3312 d4.loss_bbox: 0.1223 d4.loss_iou: 0.2135 enc_loss_cls: 0.3881 enc_loss_bbox: 0.1524 enc_loss_iou: 0.2619 dn_loss_cls: 0.1137 dn_loss_bbox: 0.1648 dn_loss_iou: 0.2000 d0.dn_loss_cls: 0.2034 d0.dn_loss_bbox: 0.3192 d0.dn_loss_iou: 0.3443 d1.dn_loss_cls: 0.1446 d1.dn_loss_bbox: 0.2052 d1.dn_loss_iou: 0.2352 d2.dn_loss_cls: 0.1289 d2.dn_loss_bbox: 0.1750 d2.dn_loss_iou: 0.2091 d3.dn_loss_cls: 0.1212 d3.dn_loss_bbox: 0.1662 d3.dn_loss_iou: 0.2013 d4.dn_loss_cls: 0.1150 d4.dn_loss_bbox: 0.1648 d4.dn_loss_iou: 0.1997 d1.loss_lmm_region: 0.2037 loss_lmm_image: 0.9264 +2024/11/07 07:45:55 - mmengine - INFO - Iter(train) [ 15100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:33:36 time: 1.0272 data_time: 0.0174 memory: 24123 grad_norm: 20.1020 loss: 10.8149 loss_cls: 0.3199 loss_bbox: 0.1819 loss_iou: 0.2874 d0.loss_cls: 0.3501 d0.loss_bbox: 0.1863 d0.loss_iou: 0.2996 d1.loss_cls: 0.3337 d1.loss_bbox: 0.1814 d1.loss_iou: 0.2912 d2.loss_cls: 0.3261 d2.loss_bbox: 0.1797 d2.loss_iou: 0.2870 d3.loss_cls: 0.3247 d3.loss_bbox: 0.1753 d3.loss_iou: 0.2833 d4.loss_cls: 0.3204 d4.loss_bbox: 0.1795 d4.loss_iou: 0.2871 enc_loss_cls: 0.3705 enc_loss_bbox: 0.1962 enc_loss_iou: 0.3191 dn_loss_cls: 0.1019 dn_loss_bbox: 0.2133 dn_loss_iou: 0.2610 d0.dn_loss_cls: 0.1944 d0.dn_loss_bbox: 0.3846 d0.dn_loss_iou: 0.4260 d1.dn_loss_cls: 0.1365 d1.dn_loss_bbox: 0.2459 d1.dn_loss_iou: 0.2972 d2.dn_loss_cls: 0.1171 d2.dn_loss_bbox: 0.2204 d2.dn_loss_iou: 0.2717 d3.dn_loss_cls: 0.1065 d3.dn_loss_bbox: 0.2144 d3.dn_loss_iou: 0.2627 d4.dn_loss_cls: 0.1035 d4.dn_loss_bbox: 0.2135 d4.dn_loss_iou: 0.2610 d1.loss_lmm_region: 0.2026 loss_lmm_image: 0.9005 +2024/11/07 07:47:39 - mmengine - INFO - Iter(train) [ 15200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:31:56 time: 1.0346 data_time: 0.0172 memory: 23022 grad_norm: 22.8246 loss: 9.3639 loss_cls: 0.3105 loss_bbox: 0.1303 loss_iou: 0.2442 d0.loss_cls: 0.3304 d0.loss_bbox: 0.1457 d0.loss_iou: 0.2625 d1.loss_cls: 0.3261 d1.loss_bbox: 0.1360 d1.loss_iou: 0.2511 d2.loss_cls: 0.3200 d2.loss_bbox: 0.1304 d2.loss_iou: 0.2448 d3.loss_cls: 0.3146 d3.loss_bbox: 0.1282 d3.loss_iou: 0.2416 d4.loss_cls: 0.3100 d4.loss_bbox: 0.1303 d4.loss_iou: 0.2434 enc_loss_cls: 0.3454 enc_loss_bbox: 0.1565 enc_loss_iou: 0.2799 dn_loss_cls: 0.1142 dn_loss_bbox: 0.1455 dn_loss_iou: 0.2118 d0.dn_loss_cls: 0.1773 d0.dn_loss_bbox: 0.2961 d0.dn_loss_iou: 0.3585 d1.dn_loss_cls: 0.1371 d1.dn_loss_bbox: 0.1831 d1.dn_loss_iou: 0.2483 d2.dn_loss_cls: 0.1250 d2.dn_loss_bbox: 0.1553 d2.dn_loss_iou: 0.2222 d3.dn_loss_cls: 0.1200 d3.dn_loss_bbox: 0.1469 d3.dn_loss_iou: 0.2136 d4.dn_loss_cls: 0.1153 d4.dn_loss_bbox: 0.1455 d4.dn_loss_iou: 0.2116 d1.loss_lmm_region: 0.1781 loss_lmm_image: 0.8767 +2024/11/07 07:49:22 - mmengine - INFO - Iter(train) [ 15300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:30:16 time: 1.0171 data_time: 0.0171 memory: 23046 grad_norm: 21.9386 loss: 9.5608 loss_cls: 0.2865 loss_bbox: 0.1423 loss_iou: 0.2707 d0.loss_cls: 0.3223 d0.loss_bbox: 0.1542 d0.loss_iou: 0.2872 d1.loss_cls: 0.3005 d1.loss_bbox: 0.1497 d1.loss_iou: 0.2793 d2.loss_cls: 0.2966 d2.loss_bbox: 0.1428 d2.loss_iou: 0.2720 d3.loss_cls: 0.2905 d3.loss_bbox: 0.1395 d3.loss_iou: 0.2708 d4.loss_cls: 0.2862 d4.loss_bbox: 0.1426 d4.loss_iou: 0.2724 enc_loss_cls: 0.3426 enc_loss_bbox: 0.1683 enc_loss_iou: 0.3118 dn_loss_cls: 0.1007 dn_loss_bbox: 0.1468 dn_loss_iou: 0.2115 d0.dn_loss_cls: 0.1878 d0.dn_loss_bbox: 0.3045 d0.dn_loss_iou: 0.3640 d1.dn_loss_cls: 0.1333 d1.dn_loss_bbox: 0.1797 d1.dn_loss_iou: 0.2464 d2.dn_loss_cls: 0.1178 d2.dn_loss_bbox: 0.1564 d2.dn_loss_iou: 0.2221 d3.dn_loss_cls: 0.1088 d3.dn_loss_bbox: 0.1481 d3.dn_loss_iou: 0.2129 d4.dn_loss_cls: 0.1030 d4.dn_loss_bbox: 0.1468 d4.dn_loss_iou: 0.2114 d1.loss_lmm_region: 0.1859 loss_lmm_image: 0.9438 +2024/11/07 07:51:05 - mmengine - INFO - Iter(train) [ 15400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:28:32 time: 1.0294 data_time: 0.0172 memory: 23997 grad_norm: 22.5891 loss: 10.3638 loss_cls: 0.2972 loss_bbox: 0.1531 loss_iou: 0.2728 d0.loss_cls: 0.3263 d0.loss_bbox: 0.1722 d0.loss_iou: 0.2911 d1.loss_cls: 0.3082 d1.loss_bbox: 0.1639 d1.loss_iou: 0.2837 d2.loss_cls: 0.3053 d2.loss_bbox: 0.1575 d2.loss_iou: 0.2779 d3.loss_cls: 0.3011 d3.loss_bbox: 0.1538 d3.loss_iou: 0.2750 d4.loss_cls: 0.2997 d4.loss_bbox: 0.1530 d4.loss_iou: 0.2740 enc_loss_cls: 0.3399 enc_loss_bbox: 0.1864 enc_loss_iou: 0.3125 dn_loss_cls: 0.1007 dn_loss_bbox: 0.2067 dn_loss_iou: 0.2498 d0.dn_loss_cls: 0.1830 d0.dn_loss_bbox: 0.3925 d0.dn_loss_iou: 0.4159 d1.dn_loss_cls: 0.1328 d1.dn_loss_bbox: 0.2481 d1.dn_loss_iou: 0.2880 d2.dn_loss_cls: 0.1139 d2.dn_loss_bbox: 0.2173 d2.dn_loss_iou: 0.2608 d3.dn_loss_cls: 0.1053 d3.dn_loss_bbox: 0.2085 d3.dn_loss_iou: 0.2517 d4.dn_loss_cls: 0.1012 d4.dn_loss_bbox: 0.2068 d4.dn_loss_iou: 0.2499 d1.loss_lmm_region: 0.2236 loss_lmm_image: 0.9027 +2024/11/07 07:52:48 - mmengine - INFO - Iter(train) [ 15500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:26:55 time: 1.0304 data_time: 0.0174 memory: 23554 grad_norm: 25.3533 loss: 9.7362 loss_cls: 0.2837 loss_bbox: 0.1459 loss_iou: 0.2743 d0.loss_cls: 0.3066 d0.loss_bbox: 0.1562 d0.loss_iou: 0.2924 d1.loss_cls: 0.2942 d1.loss_bbox: 0.1459 d1.loss_iou: 0.2795 d2.loss_cls: 0.2874 d2.loss_bbox: 0.1455 d2.loss_iou: 0.2739 d3.loss_cls: 0.2893 d3.loss_bbox: 0.1403 d3.loss_iou: 0.2719 d4.loss_cls: 0.2843 d4.loss_bbox: 0.1435 d4.loss_iou: 0.2732 enc_loss_cls: 0.3277 enc_loss_bbox: 0.1701 enc_loss_iou: 0.3094 dn_loss_cls: 0.0902 dn_loss_bbox: 0.1684 dn_loss_iou: 0.2461 d0.dn_loss_cls: 0.1687 d0.dn_loss_bbox: 0.3186 d0.dn_loss_iou: 0.3958 d1.dn_loss_cls: 0.1164 d1.dn_loss_bbox: 0.2053 d1.dn_loss_iou: 0.2819 d2.dn_loss_cls: 0.1014 d2.dn_loss_bbox: 0.1789 d2.dn_loss_iou: 0.2551 d3.dn_loss_cls: 0.0935 d3.dn_loss_bbox: 0.1704 d3.dn_loss_iou: 0.2480 d4.dn_loss_cls: 0.0901 d4.dn_loss_bbox: 0.1683 d4.dn_loss_iou: 0.2460 d1.loss_lmm_region: 0.2076 loss_lmm_image: 0.8903 +2024/11/07 07:54:31 - mmengine - INFO - Iter(train) [ 15600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:25:14 time: 1.0432 data_time: 0.0172 memory: 24219 grad_norm: 23.5649 loss: 8.7436 loss_cls: 0.2715 loss_bbox: 0.1225 loss_iou: 0.2174 d0.loss_cls: 0.2998 d0.loss_bbox: 0.1397 d0.loss_iou: 0.2396 d1.loss_cls: 0.2869 d1.loss_bbox: 0.1266 d1.loss_iou: 0.2231 d2.loss_cls: 0.2772 d2.loss_bbox: 0.1205 d2.loss_iou: 0.2166 d3.loss_cls: 0.2757 d3.loss_bbox: 0.1188 d3.loss_iou: 0.2150 d4.loss_cls: 0.2719 d4.loss_bbox: 0.1228 d4.loss_iou: 0.2178 enc_loss_cls: 0.3207 enc_loss_bbox: 0.1474 enc_loss_iou: 0.2601 dn_loss_cls: 0.0875 dn_loss_bbox: 0.1550 dn_loss_iou: 0.1995 d0.dn_loss_cls: 0.1658 d0.dn_loss_bbox: 0.3058 d0.dn_loss_iou: 0.3508 d1.dn_loss_cls: 0.1181 d1.dn_loss_bbox: 0.1899 d1.dn_loss_iou: 0.2350 d2.dn_loss_cls: 0.1026 d2.dn_loss_bbox: 0.1653 d2.dn_loss_iou: 0.2101 d3.dn_loss_cls: 0.0922 d3.dn_loss_bbox: 0.1560 d3.dn_loss_iou: 0.2012 d4.dn_loss_cls: 0.0886 d4.dn_loss_bbox: 0.1550 d4.dn_loss_iou: 0.1995 d1.loss_lmm_region: 0.1743 loss_lmm_image: 0.9001 +2024/11/07 07:56:14 - mmengine - INFO - Iter(train) [ 15700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:23:32 time: 1.0246 data_time: 0.0171 memory: 23492 grad_norm: 23.2065 loss: 10.5358 loss_cls: 0.3511 loss_bbox: 0.1515 loss_iou: 0.2874 d0.loss_cls: 0.3830 d0.loss_bbox: 0.1650 d0.loss_iou: 0.3066 d1.loss_cls: 0.3680 d1.loss_bbox: 0.1618 d1.loss_iou: 0.2970 d2.loss_cls: 0.3578 d2.loss_bbox: 0.1553 d2.loss_iou: 0.2916 d3.loss_cls: 0.3504 d3.loss_bbox: 0.1569 d3.loss_iou: 0.2884 d4.loss_cls: 0.3510 d4.loss_bbox: 0.1513 d4.loss_iou: 0.2875 enc_loss_cls: 0.3957 enc_loss_bbox: 0.1811 enc_loss_iou: 0.3309 dn_loss_cls: 0.1147 dn_loss_bbox: 0.1662 dn_loss_iou: 0.2333 d0.dn_loss_cls: 0.1939 d0.dn_loss_bbox: 0.3146 d0.dn_loss_iou: 0.3861 d1.dn_loss_cls: 0.1412 d1.dn_loss_bbox: 0.2002 d1.dn_loss_iou: 0.2696 d2.dn_loss_cls: 0.1281 d2.dn_loss_bbox: 0.1735 d2.dn_loss_iou: 0.2418 d3.dn_loss_cls: 0.1187 d3.dn_loss_bbox: 0.1670 d3.dn_loss_iou: 0.2340 d4.dn_loss_cls: 0.1152 d4.dn_loss_bbox: 0.1662 d4.dn_loss_iou: 0.2332 d1.loss_lmm_region: 0.1967 loss_lmm_image: 0.9723 +2024/11/07 07:57:59 - mmengine - INFO - Iter(train) [ 15800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:22:07 time: 1.0491 data_time: 0.0171 memory: 24047 grad_norm: 26.6850 loss: 9.5257 loss_cls: 0.2907 loss_bbox: 0.1278 loss_iou: 0.2129 d0.loss_cls: 0.3242 d0.loss_bbox: 0.1436 d0.loss_iou: 0.2319 d1.loss_cls: 0.3128 d1.loss_bbox: 0.1324 d1.loss_iou: 0.2182 d2.loss_cls: 0.2990 d2.loss_bbox: 0.1324 d2.loss_iou: 0.2159 d3.loss_cls: 0.2927 d3.loss_bbox: 0.1321 d3.loss_iou: 0.2156 d4.loss_cls: 0.2899 d4.loss_bbox: 0.1294 d4.loss_iou: 0.2141 enc_loss_cls: 0.3437 enc_loss_bbox: 0.1555 enc_loss_iou: 0.2515 dn_loss_cls: 0.0905 dn_loss_bbox: 0.2019 dn_loss_iou: 0.2244 d0.dn_loss_cls: 0.1956 d0.dn_loss_bbox: 0.3988 d0.dn_loss_iou: 0.3918 d1.dn_loss_cls: 0.1293 d1.dn_loss_bbox: 0.2449 d1.dn_loss_iou: 0.2627 d2.dn_loss_cls: 0.1108 d2.dn_loss_bbox: 0.2172 d2.dn_loss_iou: 0.2367 d3.dn_loss_cls: 0.0988 d3.dn_loss_bbox: 0.2042 d3.dn_loss_iou: 0.2269 d4.dn_loss_cls: 0.0925 d4.dn_loss_bbox: 0.2019 d4.dn_loss_iou: 0.2243 d1.loss_lmm_region: 0.2349 loss_lmm_image: 0.8712 +2024/11/07 07:59:43 - mmengine - INFO - Iter(train) [ 15900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:20:26 time: 1.0381 data_time: 0.0171 memory: 23744 grad_norm: 22.4269 loss: 9.4682 loss_cls: 0.3015 loss_bbox: 0.1196 loss_iou: 0.2648 d0.loss_cls: 0.3418 d0.loss_bbox: 0.1368 d0.loss_iou: 0.2827 d1.loss_cls: 0.3235 d1.loss_bbox: 0.1226 d1.loss_iou: 0.2698 d2.loss_cls: 0.3102 d2.loss_bbox: 0.1229 d2.loss_iou: 0.2668 d3.loss_cls: 0.3037 d3.loss_bbox: 0.1222 d3.loss_iou: 0.2675 d4.loss_cls: 0.3026 d4.loss_bbox: 0.1209 d4.loss_iou: 0.2653 enc_loss_cls: 0.3622 enc_loss_bbox: 0.1550 enc_loss_iou: 0.3080 dn_loss_cls: 0.0904 dn_loss_bbox: 0.1464 dn_loss_iou: 0.2271 d0.dn_loss_cls: 0.1652 d0.dn_loss_bbox: 0.2975 d0.dn_loss_iou: 0.3865 d1.dn_loss_cls: 0.1172 d1.dn_loss_bbox: 0.1812 d1.dn_loss_iou: 0.2615 d2.dn_loss_cls: 0.1027 d2.dn_loss_bbox: 0.1548 d2.dn_loss_iou: 0.2349 d3.dn_loss_cls: 0.0952 d3.dn_loss_bbox: 0.1470 d3.dn_loss_iou: 0.2280 d4.dn_loss_cls: 0.0909 d4.dn_loss_bbox: 0.1464 d4.dn_loss_iou: 0.2269 d1.loss_lmm_region: 0.1692 loss_lmm_image: 0.9287 +2024/11/07 08:01:27 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/07 08:01:27 - mmengine - INFO - Iter(train) [ 16000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:18:51 time: 1.0291 data_time: 0.0172 memory: 23246 grad_norm: 23.8690 loss: 9.1407 loss_cls: 0.3053 loss_bbox: 0.1115 loss_iou: 0.2469 d0.loss_cls: 0.3425 d0.loss_bbox: 0.1264 d0.loss_iou: 0.2715 d1.loss_cls: 0.3243 d1.loss_bbox: 0.1160 d1.loss_iou: 0.2542 d2.loss_cls: 0.3146 d2.loss_bbox: 0.1144 d2.loss_iou: 0.2493 d3.loss_cls: 0.3139 d3.loss_bbox: 0.1105 d3.loss_iou: 0.2474 d4.loss_cls: 0.3075 d4.loss_bbox: 0.1108 d4.loss_iou: 0.2476 enc_loss_cls: 0.3577 enc_loss_bbox: 0.1436 enc_loss_iou: 0.2931 dn_loss_cls: 0.0915 dn_loss_bbox: 0.1444 dn_loss_iou: 0.1973 d0.dn_loss_cls: 0.1775 d0.dn_loss_bbox: 0.2970 d0.dn_loss_iou: 0.3468 d1.dn_loss_cls: 0.1207 d1.dn_loss_bbox: 0.1832 d1.dn_loss_iou: 0.2350 d2.dn_loss_cls: 0.1017 d2.dn_loss_bbox: 0.1561 d2.dn_loss_iou: 0.2083 d3.dn_loss_cls: 0.0945 d3.dn_loss_bbox: 0.1460 d3.dn_loss_iou: 0.1991 d4.dn_loss_cls: 0.0917 d4.dn_loss_bbox: 0.1443 d4.dn_loss_iou: 0.1975 d1.loss_lmm_region: 0.1809 loss_lmm_image: 0.9181 +2024/11/07 08:03:09 - mmengine - INFO - Iter(train) [ 16100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:17:07 time: 1.0322 data_time: 0.0170 memory: 23942 grad_norm: 23.1168 loss: 9.4132 loss_cls: 0.2837 loss_bbox: 0.1338 loss_iou: 0.2163 d0.loss_cls: 0.3192 d0.loss_bbox: 0.1438 d0.loss_iou: 0.2324 d1.loss_cls: 0.3039 d1.loss_bbox: 0.1334 d1.loss_iou: 0.2201 d2.loss_cls: 0.2923 d2.loss_bbox: 0.1325 d2.loss_iou: 0.2201 d3.loss_cls: 0.2869 d3.loss_bbox: 0.1330 d3.loss_iou: 0.2182 d4.loss_cls: 0.2855 d4.loss_bbox: 0.1338 d4.loss_iou: 0.2170 enc_loss_cls: 0.3264 enc_loss_bbox: 0.1628 enc_loss_iou: 0.2545 dn_loss_cls: 0.1094 dn_loss_bbox: 0.1862 dn_loss_iou: 0.2209 d0.dn_loss_cls: 0.1930 d0.dn_loss_bbox: 0.3528 d0.dn_loss_iou: 0.3783 d1.dn_loss_cls: 0.1423 d1.dn_loss_bbox: 0.2209 d1.dn_loss_iou: 0.2568 d2.dn_loss_cls: 0.1237 d2.dn_loss_bbox: 0.1941 d2.dn_loss_iou: 0.2301 d3.dn_loss_cls: 0.1148 d3.dn_loss_bbox: 0.1875 d3.dn_loss_iou: 0.2225 d4.dn_loss_cls: 0.1090 d4.dn_loss_bbox: 0.1863 d4.dn_loss_iou: 0.2209 d1.loss_lmm_region: 0.1920 loss_lmm_image: 0.9221 +2024/11/07 08:04:52 - mmengine - INFO - Iter(train) [ 16200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:15:18 time: 1.0055 data_time: 0.0172 memory: 23252 grad_norm: 25.6509 loss: 10.9898 loss_cls: 0.3582 loss_bbox: 0.1539 loss_iou: 0.3376 d0.loss_cls: 0.3905 d0.loss_bbox: 0.1739 d0.loss_iou: 0.3682 d1.loss_cls: 0.3735 d1.loss_bbox: 0.1619 d1.loss_iou: 0.3470 d2.loss_cls: 0.3707 d2.loss_bbox: 0.1534 d2.loss_iou: 0.3387 d3.loss_cls: 0.3658 d3.loss_bbox: 0.1540 d3.loss_iou: 0.3394 d4.loss_cls: 0.3597 d4.loss_bbox: 0.1543 d4.loss_iou: 0.3360 enc_loss_cls: 0.4054 enc_loss_bbox: 0.1901 enc_loss_iou: 0.3996 dn_loss_cls: 0.1122 dn_loss_bbox: 0.1691 dn_loss_iou: 0.2428 d0.dn_loss_cls: 0.1946 d0.dn_loss_bbox: 0.3142 d0.dn_loss_iou: 0.3998 d1.dn_loss_cls: 0.1441 d1.dn_loss_bbox: 0.1976 d1.dn_loss_iou: 0.2788 d2.dn_loss_cls: 0.1244 d2.dn_loss_bbox: 0.1762 d2.dn_loss_iou: 0.2523 d3.dn_loss_cls: 0.1177 d3.dn_loss_bbox: 0.1706 d3.dn_loss_iou: 0.2446 d4.dn_loss_cls: 0.1130 d4.dn_loss_bbox: 0.1692 d4.dn_loss_iou: 0.2427 d1.loss_lmm_region: 0.1836 loss_lmm_image: 0.9106 +2024/11/07 08:06:35 - mmengine - INFO - Iter(train) [ 16300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:13:42 time: 1.0340 data_time: 0.0173 memory: 24047 grad_norm: 23.6979 loss: 10.1957 loss_cls: 0.3410 loss_bbox: 0.1402 loss_iou: 0.2780 d0.loss_cls: 0.3713 d0.loss_bbox: 0.1565 d0.loss_iou: 0.3030 d1.loss_cls: 0.3553 d1.loss_bbox: 0.1461 d1.loss_iou: 0.2862 d2.loss_cls: 0.3492 d2.loss_bbox: 0.1448 d2.loss_iou: 0.2786 d3.loss_cls: 0.3433 d3.loss_bbox: 0.1418 d3.loss_iou: 0.2767 d4.loss_cls: 0.3424 d4.loss_bbox: 0.1409 d4.loss_iou: 0.2785 enc_loss_cls: 0.3964 enc_loss_bbox: 0.1698 enc_loss_iou: 0.3209 dn_loss_cls: 0.1119 dn_loss_bbox: 0.1542 dn_loss_iou: 0.2234 d0.dn_loss_cls: 0.1979 d0.dn_loss_bbox: 0.3130 d0.dn_loss_iou: 0.3862 d1.dn_loss_cls: 0.1433 d1.dn_loss_bbox: 0.1885 d1.dn_loss_iou: 0.2615 d2.dn_loss_cls: 0.1277 d2.dn_loss_bbox: 0.1643 d2.dn_loss_iou: 0.2347 d3.dn_loss_cls: 0.1152 d3.dn_loss_bbox: 0.1558 d3.dn_loss_iou: 0.2255 d4.dn_loss_cls: 0.1125 d4.dn_loss_bbox: 0.1543 d4.dn_loss_iou: 0.2234 d1.loss_lmm_region: 0.1945 loss_lmm_image: 0.9470 +2024/11/07 08:08:17 - mmengine - INFO - Iter(train) [ 16400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:11:51 time: 1.0159 data_time: 0.0172 memory: 23398 grad_norm: 23.7994 loss: 9.8079 loss_cls: 0.3102 loss_bbox: 0.1354 loss_iou: 0.2486 d0.loss_cls: 0.3472 d0.loss_bbox: 0.1409 d0.loss_iou: 0.2644 d1.loss_cls: 0.3232 d1.loss_bbox: 0.1390 d1.loss_iou: 0.2562 d2.loss_cls: 0.3141 d2.loss_bbox: 0.1411 d2.loss_iou: 0.2536 d3.loss_cls: 0.3097 d3.loss_bbox: 0.1379 d3.loss_iou: 0.2500 d4.loss_cls: 0.3124 d4.loss_bbox: 0.1350 d4.loss_iou: 0.2483 enc_loss_cls: 0.3597 enc_loss_bbox: 0.1536 enc_loss_iou: 0.2822 dn_loss_cls: 0.1189 dn_loss_bbox: 0.1565 dn_loss_iou: 0.2282 d0.dn_loss_cls: 0.2120 d0.dn_loss_bbox: 0.3300 d0.dn_loss_iou: 0.3942 d1.dn_loss_cls: 0.1508 d1.dn_loss_bbox: 0.1998 d1.dn_loss_iou: 0.2686 d2.dn_loss_cls: 0.1345 d2.dn_loss_bbox: 0.1667 d2.dn_loss_iou: 0.2389 d3.dn_loss_cls: 0.1251 d3.dn_loss_bbox: 0.1574 d3.dn_loss_iou: 0.2296 d4.dn_loss_cls: 0.1180 d4.dn_loss_bbox: 0.1565 d4.dn_loss_iou: 0.2280 d1.loss_lmm_region: 0.2012 loss_lmm_image: 0.9304 +2024/11/07 08:10:01 - mmengine - INFO - Iter(train) [ 16500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:10:15 time: 1.0415 data_time: 0.0172 memory: 23378 grad_norm: 20.7235 loss: 9.0572 loss_cls: 0.2763 loss_bbox: 0.1341 loss_iou: 0.2273 d0.loss_cls: 0.3126 d0.loss_bbox: 0.1408 d0.loss_iou: 0.2414 d1.loss_cls: 0.2963 d1.loss_bbox: 0.1338 d1.loss_iou: 0.2309 d2.loss_cls: 0.2851 d2.loss_bbox: 0.1369 d2.loss_iou: 0.2307 d3.loss_cls: 0.2834 d3.loss_bbox: 0.1364 d3.loss_iou: 0.2304 d4.loss_cls: 0.2785 d4.loss_bbox: 0.1351 d4.loss_iou: 0.2273 enc_loss_cls: 0.3288 enc_loss_bbox: 0.1548 enc_loss_iou: 0.2618 dn_loss_cls: 0.0984 dn_loss_bbox: 0.1580 dn_loss_iou: 0.2062 d0.dn_loss_cls: 0.1776 d0.dn_loss_bbox: 0.3038 d0.dn_loss_iou: 0.3487 d1.dn_loss_cls: 0.1267 d1.dn_loss_bbox: 0.1872 d1.dn_loss_iou: 0.2381 d2.dn_loss_cls: 0.1107 d2.dn_loss_bbox: 0.1647 d2.dn_loss_iou: 0.2150 d3.dn_loss_cls: 0.1041 d3.dn_loss_bbox: 0.1589 d3.dn_loss_iou: 0.2076 d4.dn_loss_cls: 0.0984 d4.dn_loss_bbox: 0.1580 d4.dn_loss_iou: 0.2063 d1.loss_lmm_region: 0.1894 loss_lmm_image: 0.9168 +2024/11/07 08:11:43 - mmengine - INFO - Iter(train) [ 16600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:08:27 time: 1.0245 data_time: 0.0173 memory: 23418 grad_norm: 21.7233 loss: 12.1051 loss_cls: 0.3765 loss_bbox: 0.1929 loss_iou: 0.3417 d0.loss_cls: 0.4174 d0.loss_bbox: 0.2047 d0.loss_iou: 0.3588 d1.loss_cls: 0.3947 d1.loss_bbox: 0.1999 d1.loss_iou: 0.3470 d2.loss_cls: 0.3956 d2.loss_bbox: 0.1875 d2.loss_iou: 0.3346 d3.loss_cls: 0.3853 d3.loss_bbox: 0.1887 d3.loss_iou: 0.3377 d4.loss_cls: 0.3786 d4.loss_bbox: 0.1904 d4.loss_iou: 0.3420 enc_loss_cls: 0.4228 enc_loss_bbox: 0.2263 enc_loss_iou: 0.3872 dn_loss_cls: 0.1541 dn_loss_bbox: 0.2094 dn_loss_iou: 0.2659 d0.dn_loss_cls: 0.2346 d0.dn_loss_bbox: 0.3740 d0.dn_loss_iou: 0.4169 d1.dn_loss_cls: 0.1890 d1.dn_loss_bbox: 0.2468 d1.dn_loss_iou: 0.3007 d2.dn_loss_cls: 0.1717 d2.dn_loss_bbox: 0.2182 d2.dn_loss_iou: 0.2739 d3.dn_loss_cls: 0.1608 d3.dn_loss_bbox: 0.2107 d3.dn_loss_iou: 0.2671 d4.dn_loss_cls: 0.1604 d4.dn_loss_bbox: 0.2096 d4.dn_loss_iou: 0.2659 d1.loss_lmm_region: 0.2446 loss_lmm_image: 0.9205 +2024/11/07 08:13:27 - mmengine - INFO - Iter(train) [ 16700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:06:49 time: 1.0282 data_time: 0.0171 memory: 23457 grad_norm: 26.6857 loss: 10.3521 loss_cls: 0.3499 loss_bbox: 0.1314 loss_iou: 0.2444 d0.loss_cls: 0.3827 d0.loss_bbox: 0.1502 d0.loss_iou: 0.2625 d1.loss_cls: 0.3645 d1.loss_bbox: 0.1315 d1.loss_iou: 0.2487 d2.loss_cls: 0.3551 d2.loss_bbox: 0.1307 d2.loss_iou: 0.2447 d3.loss_cls: 0.3505 d3.loss_bbox: 0.1291 d3.loss_iou: 0.2430 d4.loss_cls: 0.3504 d4.loss_bbox: 0.1299 d4.loss_iou: 0.2424 enc_loss_cls: 0.3980 enc_loss_bbox: 0.1613 enc_loss_iou: 0.2855 dn_loss_cls: 0.1857 dn_loss_bbox: 0.1854 dn_loss_iou: 0.2155 d0.dn_loss_cls: 0.2300 d0.dn_loss_bbox: 0.3442 d0.dn_loss_iou: 0.3719 d1.dn_loss_cls: 0.1925 d1.dn_loss_bbox: 0.2189 d1.dn_loss_iou: 0.2520 d2.dn_loss_cls: 0.1788 d2.dn_loss_bbox: 0.1942 d2.dn_loss_iou: 0.2240 d3.dn_loss_cls: 0.1813 d3.dn_loss_bbox: 0.1862 d3.dn_loss_iou: 0.2166 d4.dn_loss_cls: 0.1861 d4.dn_loss_bbox: 0.1854 d4.dn_loss_iou: 0.2152 d1.loss_lmm_region: 0.1911 loss_lmm_image: 0.9108 +2024/11/07 08:15:09 - mmengine - INFO - Iter(train) [ 16800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:05:01 time: 1.0243 data_time: 0.0174 memory: 23489 grad_norm: 25.0275 loss: 10.0559 loss_cls: 0.2967 loss_bbox: 0.1400 loss_iou: 0.2760 d0.loss_cls: 0.3251 d0.loss_bbox: 0.1564 d0.loss_iou: 0.2998 d1.loss_cls: 0.3131 d1.loss_bbox: 0.1470 d1.loss_iou: 0.2864 d2.loss_cls: 0.3045 d2.loss_bbox: 0.1440 d2.loss_iou: 0.2780 d3.loss_cls: 0.3012 d3.loss_bbox: 0.1409 d3.loss_iou: 0.2778 d4.loss_cls: 0.2958 d4.loss_bbox: 0.1417 d4.loss_iou: 0.2788 enc_loss_cls: 0.3515 enc_loss_bbox: 0.1711 enc_loss_iou: 0.3175 dn_loss_cls: 0.1012 dn_loss_bbox: 0.1897 dn_loss_iou: 0.2335 d0.dn_loss_cls: 0.1745 d0.dn_loss_bbox: 0.3484 d0.dn_loss_iou: 0.3821 d1.dn_loss_cls: 0.1292 d1.dn_loss_bbox: 0.2292 d1.dn_loss_iou: 0.2692 d2.dn_loss_cls: 0.1142 d2.dn_loss_bbox: 0.2008 d2.dn_loss_iou: 0.2432 d3.dn_loss_cls: 0.1062 d3.dn_loss_bbox: 0.1908 d3.dn_loss_iou: 0.2349 d4.dn_loss_cls: 0.1023 d4.dn_loss_bbox: 0.1895 d4.dn_loss_iou: 0.2335 d1.loss_lmm_region: 0.1973 loss_lmm_image: 0.9427 +2024/11/07 08:16:52 - mmengine - INFO - Iter(train) [ 16900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:03:17 time: 1.0178 data_time: 0.0172 memory: 23582 grad_norm: 21.3256 loss: 9.6033 loss_cls: 0.2781 loss_bbox: 0.1310 loss_iou: 0.2413 d0.loss_cls: 0.3166 d0.loss_bbox: 0.1453 d0.loss_iou: 0.2592 d1.loss_cls: 0.3018 d1.loss_bbox: 0.1353 d1.loss_iou: 0.2464 d2.loss_cls: 0.2941 d2.loss_bbox: 0.1282 d2.loss_iou: 0.2402 d3.loss_cls: 0.2870 d3.loss_bbox: 0.1298 d3.loss_iou: 0.2405 d4.loss_cls: 0.2825 d4.loss_bbox: 0.1304 d4.loss_iou: 0.2388 enc_loss_cls: 0.3273 enc_loss_bbox: 0.1580 enc_loss_iou: 0.2770 dn_loss_cls: 0.1155 dn_loss_bbox: 0.1747 dn_loss_iou: 0.2411 d0.dn_loss_cls: 0.2048 d0.dn_loss_bbox: 0.3257 d0.dn_loss_iou: 0.3988 d1.dn_loss_cls: 0.1474 d1.dn_loss_bbox: 0.2113 d1.dn_loss_iou: 0.2786 d2.dn_loss_cls: 0.1297 d2.dn_loss_bbox: 0.1869 d2.dn_loss_iou: 0.2519 d3.dn_loss_cls: 0.1205 d3.dn_loss_bbox: 0.1767 d3.dn_loss_iou: 0.2429 d4.dn_loss_cls: 0.1181 d4.dn_loss_bbox: 0.1749 d4.dn_loss_iou: 0.2411 d1.loss_lmm_region: 0.2030 loss_lmm_image: 0.8706 +2024/11/07 08:18:35 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/07 08:18:35 - mmengine - INFO - Iter(train) [ 17000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:01:37 time: 1.0460 data_time: 0.0174 memory: 23903 grad_norm: 21.6540 loss: 10.7549 loss_cls: 0.3347 loss_bbox: 0.1553 loss_iou: 0.3011 d0.loss_cls: 0.3621 d0.loss_bbox: 0.1716 d0.loss_iou: 0.3238 d1.loss_cls: 0.3504 d1.loss_bbox: 0.1577 d1.loss_iou: 0.3110 d2.loss_cls: 0.3427 d2.loss_bbox: 0.1568 d2.loss_iou: 0.3047 d3.loss_cls: 0.3455 d3.loss_bbox: 0.1530 d3.loss_iou: 0.2987 d4.loss_cls: 0.3382 d4.loss_bbox: 0.1534 d4.loss_iou: 0.2997 enc_loss_cls: 0.3867 enc_loss_bbox: 0.1820 enc_loss_iou: 0.3362 dn_loss_cls: 0.1151 dn_loss_bbox: 0.1803 dn_loss_iou: 0.2513 d0.dn_loss_cls: 0.1968 d0.dn_loss_bbox: 0.3463 d0.dn_loss_iou: 0.4138 d1.dn_loss_cls: 0.1456 d1.dn_loss_bbox: 0.2137 d1.dn_loss_iou: 0.2874 d2.dn_loss_cls: 0.1317 d2.dn_loss_bbox: 0.1911 d2.dn_loss_iou: 0.2612 d3.dn_loss_cls: 0.1211 d3.dn_loss_bbox: 0.1823 d3.dn_loss_iou: 0.2533 d4.dn_loss_cls: 0.1166 d4.dn_loss_bbox: 0.1803 d4.dn_loss_iou: 0.2514 d1.loss_lmm_region: 0.1985 loss_lmm_image: 0.9518 +2024/11/07 08:20:18 - mmengine - INFO - Iter(train) [ 17100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:59:50 time: 1.0198 data_time: 0.0174 memory: 25650 grad_norm: 23.3397 loss: 9.8626 loss_cls: 0.2879 loss_bbox: 0.1461 loss_iou: 0.2432 d0.loss_cls: 0.3285 d0.loss_bbox: 0.1594 d0.loss_iou: 0.2585 d1.loss_cls: 0.3108 d1.loss_bbox: 0.1502 d1.loss_iou: 0.2478 d2.loss_cls: 0.3016 d2.loss_bbox: 0.1492 d2.loss_iou: 0.2452 d3.loss_cls: 0.2971 d3.loss_bbox: 0.1468 d3.loss_iou: 0.2422 d4.loss_cls: 0.2961 d4.loss_bbox: 0.1456 d4.loss_iou: 0.2418 enc_loss_cls: 0.3375 enc_loss_bbox: 0.1773 enc_loss_iou: 0.2846 dn_loss_cls: 0.1121 dn_loss_bbox: 0.1908 dn_loss_iou: 0.2249 d0.dn_loss_cls: 0.1963 d0.dn_loss_bbox: 0.3569 d0.dn_loss_iou: 0.3790 d1.dn_loss_cls: 0.1430 d1.dn_loss_bbox: 0.2284 d1.dn_loss_iou: 0.2596 d2.dn_loss_cls: 0.1300 d2.dn_loss_bbox: 0.2014 d2.dn_loss_iou: 0.2349 d3.dn_loss_cls: 0.1206 d3.dn_loss_bbox: 0.1925 d3.dn_loss_iou: 0.2263 d4.dn_loss_cls: 0.1139 d4.dn_loss_bbox: 0.1909 d4.dn_loss_iou: 0.2250 d1.loss_lmm_region: 0.1957 loss_lmm_image: 0.9431 +2024/11/07 08:22:02 - mmengine - INFO - Iter(train) [ 17200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:58:15 time: 1.0504 data_time: 0.0172 memory: 23515 grad_norm: 22.8092 loss: 9.4569 loss_cls: 0.2924 loss_bbox: 0.1343 loss_iou: 0.2612 d0.loss_cls: 0.3387 d0.loss_bbox: 0.1457 d0.loss_iou: 0.2767 d1.loss_cls: 0.3142 d1.loss_bbox: 0.1355 d1.loss_iou: 0.2665 d2.loss_cls: 0.3058 d2.loss_bbox: 0.1340 d2.loss_iou: 0.2629 d3.loss_cls: 0.3001 d3.loss_bbox: 0.1333 d3.loss_iou: 0.2606 d4.loss_cls: 0.2948 d4.loss_bbox: 0.1325 d4.loss_iou: 0.2608 enc_loss_cls: 0.3507 enc_loss_bbox: 0.1601 enc_loss_iou: 0.3061 dn_loss_cls: 0.1037 dn_loss_bbox: 0.1529 dn_loss_iou: 0.2116 d0.dn_loss_cls: 0.1752 d0.dn_loss_bbox: 0.2875 d0.dn_loss_iou: 0.3551 d1.dn_loss_cls: 0.1292 d1.dn_loss_bbox: 0.1820 d1.dn_loss_iou: 0.2424 d2.dn_loss_cls: 0.1149 d2.dn_loss_bbox: 0.1627 d2.dn_loss_iou: 0.2206 d3.dn_loss_cls: 0.1080 d3.dn_loss_bbox: 0.1543 d3.dn_loss_iou: 0.2129 d4.dn_loss_cls: 0.1044 d4.dn_loss_bbox: 0.1528 d4.dn_loss_iou: 0.2114 d1.loss_lmm_region: 0.1746 loss_lmm_image: 0.9335 +2024/11/07 08:23:44 - mmengine - INFO - Iter(train) [ 17300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:56:29 time: 1.0306 data_time: 0.0173 memory: 23338 grad_norm: nan loss: 9.4061 loss_cls: 0.2947 loss_bbox: 0.1238 loss_iou: 0.2431 d0.loss_cls: 0.3287 d0.loss_bbox: 0.1464 d0.loss_iou: 0.2653 d1.loss_cls: 0.3079 d1.loss_bbox: 0.1342 d1.loss_iou: 0.2548 d2.loss_cls: 0.3021 d2.loss_bbox: 0.1250 d2.loss_iou: 0.2457 d3.loss_cls: 0.3008 d3.loss_bbox: 0.1227 d3.loss_iou: 0.2423 d4.loss_cls: 0.2960 d4.loss_bbox: 0.1236 d4.loss_iou: 0.2431 enc_loss_cls: 0.3449 enc_loss_bbox: 0.1613 enc_loss_iou: 0.2852 dn_loss_cls: 0.0995 dn_loss_bbox: 0.1650 dn_loss_iou: 0.2155 d0.dn_loss_cls: 0.1795 d0.dn_loss_bbox: 0.3198 d0.dn_loss_iou: 0.3658 d1.dn_loss_cls: 0.1299 d1.dn_loss_bbox: 0.2019 d1.dn_loss_iou: 0.2514 d2.dn_loss_cls: 0.1140 d2.dn_loss_bbox: 0.1747 d2.dn_loss_iou: 0.2246 d3.dn_loss_cls: 0.1055 d3.dn_loss_bbox: 0.1663 d3.dn_loss_iou: 0.2168 d4.dn_loss_cls: 0.1020 d4.dn_loss_bbox: 0.1650 d4.dn_loss_iou: 0.2154 d1.loss_lmm_region: 0.1801 loss_lmm_image: 0.9218 +2024/11/07 08:25:28 - mmengine - INFO - Iter(train) [ 17400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:54:52 time: 1.0252 data_time: 0.0171 memory: 24321 grad_norm: 23.5969 loss: 11.3185 loss_cls: 0.3688 loss_bbox: 0.1789 loss_iou: 0.3289 d0.loss_cls: 0.3993 d0.loss_bbox: 0.2031 d0.loss_iou: 0.3515 d1.loss_cls: 0.3825 d1.loss_bbox: 0.1897 d1.loss_iou: 0.3374 d2.loss_cls: 0.3770 d2.loss_bbox: 0.1840 d2.loss_iou: 0.3326 d3.loss_cls: 0.3749 d3.loss_bbox: 0.1795 d3.loss_iou: 0.3296 d4.loss_cls: 0.3700 d4.loss_bbox: 0.1788 d4.loss_iou: 0.3291 enc_loss_cls: 0.4208 enc_loss_bbox: 0.2145 enc_loss_iou: 0.3703 dn_loss_cls: 0.1121 dn_loss_bbox: 0.1895 dn_loss_iou: 0.2458 d0.dn_loss_cls: 0.2030 d0.dn_loss_bbox: 0.3620 d0.dn_loss_iou: 0.4092 d1.dn_loss_cls: 0.1453 d1.dn_loss_bbox: 0.2308 d1.dn_loss_iou: 0.2824 d2.dn_loss_cls: 0.1241 d2.dn_loss_bbox: 0.2028 d2.dn_loss_iou: 0.2561 d3.dn_loss_cls: 0.1172 d3.dn_loss_bbox: 0.1919 d3.dn_loss_iou: 0.2474 d4.dn_loss_cls: 0.1131 d4.dn_loss_bbox: 0.1897 d4.dn_loss_iou: 0.2459 d1.loss_lmm_region: 0.2051 loss_lmm_image: 0.8438 +2024/11/07 08:27:10 - mmengine - INFO - Iter(train) [ 17500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:53:05 time: 1.0336 data_time: 0.0172 memory: 23027 grad_norm: 22.6521 loss: 10.8424 loss_cls: 0.3483 loss_bbox: 0.1678 loss_iou: 0.2962 d0.loss_cls: 0.3867 d0.loss_bbox: 0.1846 d0.loss_iou: 0.3147 d1.loss_cls: 0.3664 d1.loss_bbox: 0.1726 d1.loss_iou: 0.3038 d2.loss_cls: 0.3620 d2.loss_bbox: 0.1661 d2.loss_iou: 0.2955 d3.loss_cls: 0.3554 d3.loss_bbox: 0.1664 d3.loss_iou: 0.2959 d4.loss_cls: 0.3499 d4.loss_bbox: 0.1679 d4.loss_iou: 0.2971 enc_loss_cls: 0.4095 enc_loss_bbox: 0.1942 enc_loss_iou: 0.3364 dn_loss_cls: 0.1050 dn_loss_bbox: 0.1927 dn_loss_iou: 0.2430 d0.dn_loss_cls: 0.1970 d0.dn_loss_bbox: 0.3639 d0.dn_loss_iou: 0.4008 d1.dn_loss_cls: 0.1402 d1.dn_loss_bbox: 0.2323 d1.dn_loss_iou: 0.2809 d2.dn_loss_cls: 0.1239 d2.dn_loss_bbox: 0.2039 d2.dn_loss_iou: 0.2533 d3.dn_loss_cls: 0.1118 d3.dn_loss_bbox: 0.1945 d3.dn_loss_iou: 0.2441 d4.dn_loss_cls: 0.1057 d4.dn_loss_bbox: 0.1927 d4.dn_loss_iou: 0.2429 d1.loss_lmm_region: 0.2047 loss_lmm_image: 0.8716 +2024/11/07 08:28:54 - mmengine - INFO - Iter(train) [ 17600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:51:24 time: 1.0248 data_time: 0.0172 memory: 23325 grad_norm: 22.9936 loss: 10.3725 loss_cls: 0.3322 loss_bbox: 0.1357 loss_iou: 0.2587 d0.loss_cls: 0.3683 d0.loss_bbox: 0.1519 d0.loss_iou: 0.2798 d1.loss_cls: 0.3518 d1.loss_bbox: 0.1433 d1.loss_iou: 0.2668 d2.loss_cls: 0.3401 d2.loss_bbox: 0.1377 d2.loss_iou: 0.2610 d3.loss_cls: 0.3383 d3.loss_bbox: 0.1352 d3.loss_iou: 0.2585 d4.loss_cls: 0.3326 d4.loss_bbox: 0.1353 d4.loss_iou: 0.2587 enc_loss_cls: 0.3817 enc_loss_bbox: 0.1754 enc_loss_iou: 0.3118 dn_loss_cls: 0.1350 dn_loss_bbox: 0.1829 dn_loss_iou: 0.2289 d0.dn_loss_cls: 0.2279 d0.dn_loss_bbox: 0.3733 d0.dn_loss_iou: 0.4014 d1.dn_loss_cls: 0.1635 d1.dn_loss_bbox: 0.2260 d1.dn_loss_iou: 0.2698 d2.dn_loss_cls: 0.1478 d2.dn_loss_bbox: 0.1945 d2.dn_loss_iou: 0.2401 d3.dn_loss_cls: 0.1385 d3.dn_loss_bbox: 0.1847 d3.dn_loss_iou: 0.2307 d4.dn_loss_cls: 0.1310 d4.dn_loss_bbox: 0.1828 d4.dn_loss_iou: 0.2288 d1.loss_lmm_region: 0.1926 loss_lmm_image: 0.9374 +2024/11/07 08:30:37 - mmengine - INFO - Iter(train) [ 17700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:49:44 time: 1.0281 data_time: 0.0172 memory: 23459 grad_norm: 26.0932 loss: 10.5911 loss_cls: 0.3427 loss_bbox: 0.1638 loss_iou: 0.2917 d0.loss_cls: 0.3753 d0.loss_bbox: 0.1827 d0.loss_iou: 0.3142 d1.loss_cls: 0.3560 d1.loss_bbox: 0.1685 d1.loss_iou: 0.2967 d2.loss_cls: 0.3537 d2.loss_bbox: 0.1629 d2.loss_iou: 0.2921 d3.loss_cls: 0.3466 d3.loss_bbox: 0.1618 d3.loss_iou: 0.2906 d4.loss_cls: 0.3449 d4.loss_bbox: 0.1627 d4.loss_iou: 0.2915 enc_loss_cls: 0.3957 enc_loss_bbox: 0.1931 enc_loss_iou: 0.3381 dn_loss_cls: 0.0960 dn_loss_bbox: 0.1774 dn_loss_iou: 0.2421 d0.dn_loss_cls: 0.1937 d0.dn_loss_bbox: 0.3291 d0.dn_loss_iou: 0.4076 d1.dn_loss_cls: 0.1359 d1.dn_loss_bbox: 0.2101 d1.dn_loss_iou: 0.2817 d2.dn_loss_cls: 0.1170 d2.dn_loss_bbox: 0.1869 d2.dn_loss_iou: 0.2530 d3.dn_loss_cls: 0.1015 d3.dn_loss_bbox: 0.1784 d3.dn_loss_iou: 0.2438 d4.dn_loss_cls: 0.0971 d4.dn_loss_bbox: 0.1773 d4.dn_loss_iou: 0.2422 d1.loss_lmm_region: 0.1952 loss_lmm_image: 0.8996 +2024/11/07 08:32:18 - mmengine - INFO - Iter(train) [ 17800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:47:46 time: 1.0002 data_time: 0.0171 memory: 22774 grad_norm: 21.7219 loss: 8.5338 loss_cls: 0.2538 loss_bbox: 0.1108 loss_iou: 0.2117 d0.loss_cls: 0.2857 d0.loss_bbox: 0.1266 d0.loss_iou: 0.2325 d1.loss_cls: 0.2737 d1.loss_bbox: 0.1136 d1.loss_iou: 0.2163 d2.loss_cls: 0.2625 d2.loss_bbox: 0.1124 d2.loss_iou: 0.2142 d3.loss_cls: 0.2601 d3.loss_bbox: 0.1112 d3.loss_iou: 0.2111 d4.loss_cls: 0.2557 d4.loss_bbox: 0.1108 d4.loss_iou: 0.2118 enc_loss_cls: 0.3029 enc_loss_bbox: 0.1348 enc_loss_iou: 0.2500 dn_loss_cls: 0.0901 dn_loss_bbox: 0.1465 dn_loss_iou: 0.2033 d0.dn_loss_cls: 0.1722 d0.dn_loss_bbox: 0.3021 d0.dn_loss_iou: 0.3564 d1.dn_loss_cls: 0.1227 d1.dn_loss_bbox: 0.1811 d1.dn_loss_iou: 0.2385 d2.dn_loss_cls: 0.1063 d2.dn_loss_bbox: 0.1552 d2.dn_loss_iou: 0.2123 d3.dn_loss_cls: 0.0985 d3.dn_loss_bbox: 0.1474 d3.dn_loss_iou: 0.2043 d4.dn_loss_cls: 0.0923 d4.dn_loss_bbox: 0.1466 d4.dn_loss_iou: 0.2034 d1.loss_lmm_region: 0.1702 loss_lmm_image: 0.9223 +2024/11/07 08:34:02 - mmengine - INFO - Iter(train) [ 17900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:46:13 time: 1.0448 data_time: 0.0173 memory: 23441 grad_norm: 20.9765 loss: 9.2328 loss_cls: 0.2936 loss_bbox: 0.1293 loss_iou: 0.2425 d0.loss_cls: 0.3310 d0.loss_bbox: 0.1439 d0.loss_iou: 0.2621 d1.loss_cls: 0.3169 d1.loss_bbox: 0.1307 d1.loss_iou: 0.2452 d2.loss_cls: 0.3059 d2.loss_bbox: 0.1286 d2.loss_iou: 0.2436 d3.loss_cls: 0.3021 d3.loss_bbox: 0.1283 d3.loss_iou: 0.2414 d4.loss_cls: 0.2952 d4.loss_bbox: 0.1299 d4.loss_iou: 0.2416 enc_loss_cls: 0.3532 enc_loss_bbox: 0.1505 enc_loss_iou: 0.2790 dn_loss_cls: 0.0981 dn_loss_bbox: 0.1577 dn_loss_iou: 0.2028 d0.dn_loss_cls: 0.1853 d0.dn_loss_bbox: 0.3042 d0.dn_loss_iou: 0.3458 d1.dn_loss_cls: 0.1324 d1.dn_loss_bbox: 0.1870 d1.dn_loss_iou: 0.2318 d2.dn_loss_cls: 0.1133 d2.dn_loss_bbox: 0.1653 d2.dn_loss_iou: 0.2099 d3.dn_loss_cls: 0.1043 d3.dn_loss_bbox: 0.1580 d3.dn_loss_iou: 0.2032 d4.dn_loss_cls: 0.0990 d4.dn_loss_bbox: 0.1577 d4.dn_loss_iou: 0.2026 d1.loss_lmm_region: 0.2114 loss_lmm_image: 0.8685 +2024/11/07 08:35:46 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/07 08:35:46 - mmengine - INFO - Iter(train) [ 18000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:44:34 time: 1.0392 data_time: 0.0172 memory: 24172 grad_norm: 22.6076 loss: 9.8355 loss_cls: 0.3093 loss_bbox: 0.1389 loss_iou: 0.2298 d0.loss_cls: 0.3400 d0.loss_bbox: 0.1531 d0.loss_iou: 0.2531 d1.loss_cls: 0.3181 d1.loss_bbox: 0.1488 d1.loss_iou: 0.2421 d2.loss_cls: 0.3185 d2.loss_bbox: 0.1397 d2.loss_iou: 0.2314 d3.loss_cls: 0.3137 d3.loss_bbox: 0.1403 d3.loss_iou: 0.2293 d4.loss_cls: 0.3114 d4.loss_bbox: 0.1390 d4.loss_iou: 0.2291 enc_loss_cls: 0.3584 enc_loss_bbox: 0.1625 enc_loss_iou: 0.2688 dn_loss_cls: 0.1071 dn_loss_bbox: 0.1856 dn_loss_iou: 0.2358 d0.dn_loss_cls: 0.1975 d0.dn_loss_bbox: 0.3640 d0.dn_loss_iou: 0.3954 d1.dn_loss_cls: 0.1409 d1.dn_loss_bbox: 0.2258 d1.dn_loss_iou: 0.2722 d2.dn_loss_cls: 0.1231 d2.dn_loss_bbox: 0.1960 d2.dn_loss_iou: 0.2453 d3.dn_loss_cls: 0.1130 d3.dn_loss_bbox: 0.1870 d3.dn_loss_iou: 0.2372 d4.dn_loss_cls: 0.1085 d4.dn_loss_bbox: 0.1856 d4.dn_loss_iou: 0.2358 d1.loss_lmm_region: 0.1887 loss_lmm_image: 0.9156 +2024/11/07 08:37:28 - mmengine - INFO - Iter(train) [ 18100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:42:51 time: 1.0201 data_time: 0.0171 memory: 24134 grad_norm: 22.2257 loss: 9.7591 loss_cls: 0.3002 loss_bbox: 0.1358 loss_iou: 0.2552 d0.loss_cls: 0.3419 d0.loss_bbox: 0.1533 d0.loss_iou: 0.2687 d1.loss_cls: 0.3245 d1.loss_bbox: 0.1472 d1.loss_iou: 0.2647 d2.loss_cls: 0.3144 d2.loss_bbox: 0.1383 d2.loss_iou: 0.2565 d3.loss_cls: 0.3083 d3.loss_bbox: 0.1369 d3.loss_iou: 0.2556 d4.loss_cls: 0.3020 d4.loss_bbox: 0.1370 d4.loss_iou: 0.2555 enc_loss_cls: 0.3556 enc_loss_bbox: 0.1681 enc_loss_iou: 0.2933 dn_loss_cls: 0.0968 dn_loss_bbox: 0.1870 dn_loss_iou: 0.2302 d0.dn_loss_cls: 0.1900 d0.dn_loss_bbox: 0.3441 d0.dn_loss_iou: 0.3830 d1.dn_loss_cls: 0.1297 d1.dn_loss_bbox: 0.2186 d1.dn_loss_iou: 0.2640 d2.dn_loss_cls: 0.1109 d2.dn_loss_bbox: 0.1941 d2.dn_loss_iou: 0.2388 d3.dn_loss_cls: 0.1034 d3.dn_loss_bbox: 0.1870 d3.dn_loss_iou: 0.2310 d4.dn_loss_cls: 0.0975 d4.dn_loss_bbox: 0.1872 d4.dn_loss_iou: 0.2301 d1.loss_lmm_region: 0.1794 loss_lmm_image: 0.8433 +2024/11/07 08:39:11 - mmengine - INFO - Iter(train) [ 18200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:41:08 time: 1.0292 data_time: 0.0171 memory: 23899 grad_norm: 22.7111 loss: 9.7871 loss_cls: 0.3204 loss_bbox: 0.1206 loss_iou: 0.2166 d0.loss_cls: 0.3547 d0.loss_bbox: 0.1407 d0.loss_iou: 0.2366 d1.loss_cls: 0.3416 d1.loss_bbox: 0.1285 d1.loss_iou: 0.2268 d2.loss_cls: 0.3343 d2.loss_bbox: 0.1221 d2.loss_iou: 0.2210 d3.loss_cls: 0.3279 d3.loss_bbox: 0.1207 d3.loss_iou: 0.2169 d4.loss_cls: 0.3212 d4.loss_bbox: 0.1208 d4.loss_iou: 0.2171 enc_loss_cls: 0.3657 enc_loss_bbox: 0.1572 enc_loss_iou: 0.2625 dn_loss_cls: 0.1560 dn_loss_bbox: 0.1706 dn_loss_iou: 0.2111 d0.dn_loss_cls: 0.2291 d0.dn_loss_bbox: 0.3486 d0.dn_loss_iou: 0.3699 d1.dn_loss_cls: 0.1948 d1.dn_loss_bbox: 0.2125 d1.dn_loss_iou: 0.2501 d2.dn_loss_cls: 0.1699 d2.dn_loss_bbox: 0.1824 d2.dn_loss_iou: 0.2225 d3.dn_loss_cls: 0.1642 d3.dn_loss_bbox: 0.1728 d3.dn_loss_iou: 0.2131 d4.dn_loss_cls: 0.1563 d4.dn_loss_bbox: 0.1708 d4.dn_loss_iou: 0.2110 d1.loss_lmm_region: 0.1927 loss_lmm_image: 0.9149 +2024/11/07 08:40:55 - mmengine - INFO - Iter(train) [ 18300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:39:28 time: 1.0249 data_time: 0.0173 memory: 24588 grad_norm: 24.7707 loss: 9.5938 loss_cls: 0.2888 loss_bbox: 0.1438 loss_iou: 0.2446 d0.loss_cls: 0.3220 d0.loss_bbox: 0.1557 d0.loss_iou: 0.2634 d1.loss_cls: 0.3117 d1.loss_bbox: 0.1471 d1.loss_iou: 0.2521 d2.loss_cls: 0.3028 d2.loss_bbox: 0.1425 d2.loss_iou: 0.2460 d3.loss_cls: 0.3004 d3.loss_bbox: 0.1396 d3.loss_iou: 0.2434 d4.loss_cls: 0.2912 d4.loss_bbox: 0.1432 d4.loss_iou: 0.2441 enc_loss_cls: 0.3350 enc_loss_bbox: 0.1738 enc_loss_iou: 0.2840 dn_loss_cls: 0.0830 dn_loss_bbox: 0.1922 dn_loss_iou: 0.2298 d0.dn_loss_cls: 0.1681 d0.dn_loss_bbox: 0.3448 d0.dn_loss_iou: 0.3766 d1.dn_loss_cls: 0.1148 d1.dn_loss_bbox: 0.2297 d1.dn_loss_iou: 0.2655 d2.dn_loss_cls: 0.0981 d2.dn_loss_bbox: 0.2018 d2.dn_loss_iou: 0.2389 d3.dn_loss_cls: 0.0904 d3.dn_loss_bbox: 0.1918 d3.dn_loss_iou: 0.2303 d4.dn_loss_cls: 0.0858 d4.dn_loss_bbox: 0.1921 d4.dn_loss_iou: 0.2297 d1.loss_lmm_region: 0.1876 loss_lmm_image: 0.8677 +2024/11/07 08:42:38 - mmengine - INFO - Iter(train) [ 18400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:37:49 time: 1.0517 data_time: 0.0174 memory: 24191 grad_norm: 21.6332 loss: 10.5431 loss_cls: 0.3104 loss_bbox: 0.1536 loss_iou: 0.2758 d0.loss_cls: 0.3448 d0.loss_bbox: 0.1651 d0.loss_iou: 0.2950 d1.loss_cls: 0.3246 d1.loss_bbox: 0.1632 d1.loss_iou: 0.2856 d2.loss_cls: 0.3212 d2.loss_bbox: 0.1519 d2.loss_iou: 0.2746 d3.loss_cls: 0.3172 d3.loss_bbox: 0.1508 d3.loss_iou: 0.2771 d4.loss_cls: 0.3101 d4.loss_bbox: 0.1523 d4.loss_iou: 0.2758 enc_loss_cls: 0.3541 enc_loss_bbox: 0.1803 enc_loss_iou: 0.3103 dn_loss_cls: 0.1138 dn_loss_bbox: 0.2015 dn_loss_iou: 0.2633 d0.dn_loss_cls: 0.2055 d0.dn_loss_bbox: 0.3653 d0.dn_loss_iou: 0.4273 d1.dn_loss_cls: 0.1474 d1.dn_loss_bbox: 0.2387 d1.dn_loss_iou: 0.2997 d2.dn_loss_cls: 0.1308 d2.dn_loss_bbox: 0.2084 d2.dn_loss_iou: 0.2715 d3.dn_loss_cls: 0.1194 d3.dn_loss_bbox: 0.2027 d3.dn_loss_iou: 0.2649 d4.dn_loss_cls: 0.1147 d4.dn_loss_bbox: 0.2015 d4.dn_loss_iou: 0.2632 d1.loss_lmm_region: 0.2279 loss_lmm_image: 0.8821 +2024/11/07 08:44:21 - mmengine - INFO - Iter(train) [ 18500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:36:04 time: 1.0189 data_time: 0.0172 memory: 24795 grad_norm: 23.7156 loss: 9.7707 loss_cls: 0.3290 loss_bbox: 0.1322 loss_iou: 0.2543 d0.loss_cls: 0.3557 d0.loss_bbox: 0.1514 d0.loss_iou: 0.2818 d1.loss_cls: 0.3376 d1.loss_bbox: 0.1413 d1.loss_iou: 0.2709 d2.loss_cls: 0.3343 d2.loss_bbox: 0.1356 d2.loss_iou: 0.2577 d3.loss_cls: 0.3336 d3.loss_bbox: 0.1329 d3.loss_iou: 0.2545 d4.loss_cls: 0.3291 d4.loss_bbox: 0.1323 d4.loss_iou: 0.2563 enc_loss_cls: 0.3713 enc_loss_bbox: 0.1644 enc_loss_iou: 0.3054 dn_loss_cls: 0.0906 dn_loss_bbox: 0.1648 dn_loss_iou: 0.2203 d0.dn_loss_cls: 0.1849 d0.dn_loss_bbox: 0.3197 d0.dn_loss_iou: 0.3749 d1.dn_loss_cls: 0.1262 d1.dn_loss_bbox: 0.2003 d1.dn_loss_iou: 0.2563 d2.dn_loss_cls: 0.1032 d2.dn_loss_bbox: 0.1738 d2.dn_loss_iou: 0.2288 d3.dn_loss_cls: 0.0944 d3.dn_loss_bbox: 0.1666 d3.dn_loss_iou: 0.2218 d4.dn_loss_cls: 0.0911 d4.dn_loss_bbox: 0.1647 d4.dn_loss_iou: 0.2204 d1.loss_lmm_region: 0.1811 loss_lmm_image: 0.9251 +2024/11/07 08:46:06 - mmengine - INFO - Iter(train) [ 18600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:34:36 time: 1.0436 data_time: 0.0173 memory: 23908 grad_norm: 21.4384 loss: 9.4618 loss_cls: 0.2899 loss_bbox: 0.1313 loss_iou: 0.2192 d0.loss_cls: 0.3176 d0.loss_bbox: 0.1412 d0.loss_iou: 0.2337 d1.loss_cls: 0.3004 d1.loss_bbox: 0.1343 d1.loss_iou: 0.2252 d2.loss_cls: 0.2931 d2.loss_bbox: 0.1330 d2.loss_iou: 0.2217 d3.loss_cls: 0.2939 d3.loss_bbox: 0.1316 d3.loss_iou: 0.2189 d4.loss_cls: 0.2923 d4.loss_bbox: 0.1300 d4.loss_iou: 0.2184 enc_loss_cls: 0.3382 enc_loss_bbox: 0.1555 enc_loss_iou: 0.2548 dn_loss_cls: 0.1047 dn_loss_bbox: 0.1832 dn_loss_iou: 0.2238 d0.dn_loss_cls: 0.2011 d0.dn_loss_bbox: 0.3602 d0.dn_loss_iou: 0.3926 d1.dn_loss_cls: 0.1374 d1.dn_loss_bbox: 0.2201 d1.dn_loss_iou: 0.2610 d2.dn_loss_cls: 0.1224 d2.dn_loss_bbox: 0.1924 d2.dn_loss_iou: 0.2320 d3.dn_loss_cls: 0.1094 d3.dn_loss_bbox: 0.1842 d3.dn_loss_iou: 0.2249 d4.dn_loss_cls: 0.1061 d4.dn_loss_bbox: 0.1831 d4.dn_loss_iou: 0.2236 d1.loss_lmm_region: 0.1900 loss_lmm_image: 0.9355 +2024/11/07 08:47:49 - mmengine - INFO - Iter(train) [ 18700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:32:51 time: 1.0232 data_time: 0.0173 memory: 23570 grad_norm: 26.3089 loss: 10.0463 loss_cls: 0.2979 loss_bbox: 0.1340 loss_iou: 0.2143 d0.loss_cls: 0.3213 d0.loss_bbox: 0.1526 d0.loss_iou: 0.2326 d1.loss_cls: 0.3018 d1.loss_bbox: 0.1476 d1.loss_iou: 0.2267 d2.loss_cls: 0.2950 d2.loss_bbox: 0.1425 d2.loss_iou: 0.2227 d3.loss_cls: 0.2958 d3.loss_bbox: 0.1404 d3.loss_iou: 0.2190 d4.loss_cls: 0.2986 d4.loss_bbox: 0.1365 d4.loss_iou: 0.2158 enc_loss_cls: 0.3363 enc_loss_bbox: 0.1657 enc_loss_iou: 0.2505 dn_loss_cls: 0.1279 dn_loss_bbox: 0.2186 dn_loss_iou: 0.2380 d0.dn_loss_cls: 0.2237 d0.dn_loss_bbox: 0.3897 d0.dn_loss_iou: 0.3991 d1.dn_loss_cls: 0.1647 d1.dn_loss_bbox: 0.2539 d1.dn_loss_iou: 0.2730 d2.dn_loss_cls: 0.1486 d2.dn_loss_bbox: 0.2241 d2.dn_loss_iou: 0.2465 d3.dn_loss_cls: 0.1383 d3.dn_loss_bbox: 0.2192 d3.dn_loss_iou: 0.2393 d4.dn_loss_cls: 0.1316 d4.dn_loss_bbox: 0.2185 d4.dn_loss_iou: 0.2380 d1.loss_lmm_region: 0.2316 loss_lmm_image: 0.9742 +2024/11/07 08:49:32 - mmengine - INFO - Iter(train) [ 18800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:31:12 time: 1.0295 data_time: 0.0174 memory: 23377 grad_norm: 21.9883 loss: 9.7168 loss_cls: 0.3207 loss_bbox: 0.1470 loss_iou: 0.2477 d0.loss_cls: 0.3493 d0.loss_bbox: 0.1560 d0.loss_iou: 0.2639 d1.loss_cls: 0.3307 d1.loss_bbox: 0.1491 d1.loss_iou: 0.2508 d2.loss_cls: 0.3280 d2.loss_bbox: 0.1453 d2.loss_iou: 0.2464 d3.loss_cls: 0.3260 d3.loss_bbox: 0.1457 d3.loss_iou: 0.2448 d4.loss_cls: 0.3237 d4.loss_bbox: 0.1447 d4.loss_iou: 0.2460 enc_loss_cls: 0.3688 enc_loss_bbox: 0.1744 enc_loss_iou: 0.2892 dn_loss_cls: 0.0880 dn_loss_bbox: 0.1772 dn_loss_iou: 0.2145 d0.dn_loss_cls: 0.1786 d0.dn_loss_bbox: 0.3356 d0.dn_loss_iou: 0.3603 d1.dn_loss_cls: 0.1222 d1.dn_loss_bbox: 0.2159 d1.dn_loss_iou: 0.2497 d2.dn_loss_cls: 0.1050 d2.dn_loss_bbox: 0.1878 d2.dn_loss_iou: 0.2236 d3.dn_loss_cls: 0.0950 d3.dn_loss_bbox: 0.1778 d3.dn_loss_iou: 0.2152 d4.dn_loss_cls: 0.0886 d4.dn_loss_bbox: 0.1772 d4.dn_loss_iou: 0.2145 d1.loss_lmm_region: 0.1860 loss_lmm_image: 0.9056 +2024/11/07 08:51:14 - mmengine - INFO - Iter(train) [ 18900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:29:23 time: 1.0127 data_time: 0.0172 memory: 23258 grad_norm: 22.1113 loss: 9.7275 loss_cls: 0.3030 loss_bbox: 0.1467 loss_iou: 0.2475 d0.loss_cls: 0.3265 d0.loss_bbox: 0.1643 d0.loss_iou: 0.2728 d1.loss_cls: 0.3142 d1.loss_bbox: 0.1525 d1.loss_iou: 0.2548 d2.loss_cls: 0.3071 d2.loss_bbox: 0.1482 d2.loss_iou: 0.2493 d3.loss_cls: 0.3066 d3.loss_bbox: 0.1445 d3.loss_iou: 0.2467 d4.loss_cls: 0.3043 d4.loss_bbox: 0.1448 d4.loss_iou: 0.2457 enc_loss_cls: 0.3569 enc_loss_bbox: 0.1747 enc_loss_iou: 0.2876 dn_loss_cls: 0.0911 dn_loss_bbox: 0.1847 dn_loss_iou: 0.2158 d0.dn_loss_cls: 0.1743 d0.dn_loss_bbox: 0.3465 d0.dn_loss_iou: 0.3700 d1.dn_loss_cls: 0.1193 d1.dn_loss_bbox: 0.2132 d1.dn_loss_iou: 0.2463 d2.dn_loss_cls: 0.1033 d2.dn_loss_bbox: 0.1898 d2.dn_loss_iou: 0.2226 d3.dn_loss_cls: 0.0958 d3.dn_loss_bbox: 0.1845 d3.dn_loss_iou: 0.2161 d4.dn_loss_cls: 0.0923 d4.dn_loss_bbox: 0.1848 d4.dn_loss_iou: 0.2157 d1.loss_lmm_region: 0.2088 loss_lmm_image: 0.9536 +2024/11/07 08:52:58 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/07 08:52:58 - mmengine - INFO - Iter(train) [ 19000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:27:45 time: 1.0288 data_time: 0.0176 memory: 24201 grad_norm: 22.3525 loss: 9.7096 loss_cls: 0.3161 loss_bbox: 0.1321 loss_iou: 0.2565 d0.loss_cls: 0.3452 d0.loss_bbox: 0.1417 d0.loss_iou: 0.2733 d1.loss_cls: 0.3328 d1.loss_bbox: 0.1351 d1.loss_iou: 0.2641 d2.loss_cls: 0.3213 d2.loss_bbox: 0.1321 d2.loss_iou: 0.2583 d3.loss_cls: 0.3182 d3.loss_bbox: 0.1303 d3.loss_iou: 0.2550 d4.loss_cls: 0.3145 d4.loss_bbox: 0.1318 d4.loss_iou: 0.2568 enc_loss_cls: 0.3606 enc_loss_bbox: 0.1506 enc_loss_iou: 0.2887 dn_loss_cls: 0.1266 dn_loss_bbox: 0.1591 dn_loss_iou: 0.2260 d0.dn_loss_cls: 0.1987 d0.dn_loss_bbox: 0.2982 d0.dn_loss_iou: 0.3746 d1.dn_loss_cls: 0.1540 d1.dn_loss_bbox: 0.1878 d1.dn_loss_iou: 0.2571 d2.dn_loss_cls: 0.1410 d2.dn_loss_bbox: 0.1643 d2.dn_loss_iou: 0.2329 d3.dn_loss_cls: 0.1310 d3.dn_loss_bbox: 0.1601 d3.dn_loss_iou: 0.2267 d4.dn_loss_cls: 0.1280 d4.dn_loss_bbox: 0.1590 d4.dn_loss_iou: 0.2260 d1.loss_lmm_region: 0.1719 loss_lmm_image: 0.8717 +2024/11/07 08:54:41 - mmengine - INFO - Iter(train) [ 19100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:26:02 time: 1.0400 data_time: 0.0172 memory: 24245 grad_norm: 23.5129 loss: 9.1632 loss_cls: 0.2693 loss_bbox: 0.1337 loss_iou: 0.2518 d0.loss_cls: 0.2955 d0.loss_bbox: 0.1479 d0.loss_iou: 0.2695 d1.loss_cls: 0.2846 d1.loss_bbox: 0.1370 d1.loss_iou: 0.2554 d2.loss_cls: 0.2747 d2.loss_bbox: 0.1355 d2.loss_iou: 0.2545 d3.loss_cls: 0.2713 d3.loss_bbox: 0.1341 d3.loss_iou: 0.2523 d4.loss_cls: 0.2703 d4.loss_bbox: 0.1333 d4.loss_iou: 0.2514 enc_loss_cls: 0.3061 enc_loss_bbox: 0.1595 enc_loss_iou: 0.2917 dn_loss_cls: 0.0896 dn_loss_bbox: 0.1568 dn_loss_iou: 0.2236 d0.dn_loss_cls: 0.1628 d0.dn_loss_bbox: 0.3044 d0.dn_loss_iou: 0.3685 d1.dn_loss_cls: 0.1172 d1.dn_loss_bbox: 0.1897 d1.dn_loss_iou: 0.2579 d2.dn_loss_cls: 0.1010 d2.dn_loss_bbox: 0.1642 d2.dn_loss_iou: 0.2316 d3.dn_loss_cls: 0.0937 d3.dn_loss_bbox: 0.1579 d3.dn_loss_iou: 0.2246 d4.dn_loss_cls: 0.0905 d4.dn_loss_bbox: 0.1568 d4.dn_loss_iou: 0.2234 d1.loss_lmm_region: 0.1691 loss_lmm_image: 0.9006 +2024/11/07 08:56:24 - mmengine - INFO - Iter(train) [ 19200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:24:22 time: 1.0350 data_time: 0.0172 memory: 23582 grad_norm: 21.1734 loss: 10.1181 loss_cls: 0.3358 loss_bbox: 0.1459 loss_iou: 0.2637 d0.loss_cls: 0.3659 d0.loss_bbox: 0.1551 d0.loss_iou: 0.2785 d1.loss_cls: 0.3446 d1.loss_bbox: 0.1500 d1.loss_iou: 0.2715 d2.loss_cls: 0.3400 d2.loss_bbox: 0.1445 d2.loss_iou: 0.2642 d3.loss_cls: 0.3351 d3.loss_bbox: 0.1467 d3.loss_iou: 0.2647 d4.loss_cls: 0.3354 d4.loss_bbox: 0.1455 d4.loss_iou: 0.2626 enc_loss_cls: 0.3774 enc_loss_bbox: 0.1697 enc_loss_iou: 0.2997 dn_loss_cls: 0.1203 dn_loss_bbox: 0.1705 dn_loss_iou: 0.2290 d0.dn_loss_cls: 0.2069 d0.dn_loss_bbox: 0.3144 d0.dn_loss_iou: 0.3746 d1.dn_loss_cls: 0.1520 d1.dn_loss_bbox: 0.2072 d1.dn_loss_iou: 0.2631 d2.dn_loss_cls: 0.1354 d2.dn_loss_bbox: 0.1800 d2.dn_loss_iou: 0.2390 d3.dn_loss_cls: 0.1244 d3.dn_loss_bbox: 0.1720 d3.dn_loss_iou: 0.2307 d4.dn_loss_cls: 0.1208 d4.dn_loss_bbox: 0.1704 d4.dn_loss_iou: 0.2291 d1.loss_lmm_region: 0.2005 loss_lmm_image: 0.8816 +2024/11/07 08:58:08 - mmengine - INFO - Iter(train) [ 19300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:22:45 time: 1.0346 data_time: 0.0171 memory: 22977 grad_norm: 23.3347 loss: 9.0679 loss_cls: 0.2722 loss_bbox: 0.1281 loss_iou: 0.2362 d0.loss_cls: 0.3037 d0.loss_bbox: 0.1393 d0.loss_iou: 0.2544 d1.loss_cls: 0.2824 d1.loss_bbox: 0.1358 d1.loss_iou: 0.2499 d2.loss_cls: 0.2815 d2.loss_bbox: 0.1254 d2.loss_iou: 0.2363 d3.loss_cls: 0.2799 d3.loss_bbox: 0.1262 d3.loss_iou: 0.2341 d4.loss_cls: 0.2755 d4.loss_bbox: 0.1261 d4.loss_iou: 0.2337 enc_loss_cls: 0.3121 enc_loss_bbox: 0.1573 enc_loss_iou: 0.2844 dn_loss_cls: 0.1034 dn_loss_bbox: 0.1547 dn_loss_iou: 0.2124 d0.dn_loss_cls: 0.1731 d0.dn_loss_bbox: 0.3083 d0.dn_loss_iou: 0.3662 d1.dn_loss_cls: 0.1274 d1.dn_loss_bbox: 0.1858 d1.dn_loss_iou: 0.2461 d2.dn_loss_cls: 0.1154 d2.dn_loss_bbox: 0.1620 d2.dn_loss_iou: 0.2211 d3.dn_loss_cls: 0.1098 d3.dn_loss_bbox: 0.1552 d3.dn_loss_iou: 0.2138 d4.dn_loss_cls: 0.1047 d4.dn_loss_bbox: 0.1547 d4.dn_loss_iou: 0.2124 d1.loss_lmm_region: 0.1668 loss_lmm_image: 0.8999 +2024/11/07 08:59:51 - mmengine - INFO - Iter(train) [ 19400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:21:04 time: 1.0288 data_time: 0.0173 memory: 24445 grad_norm: 26.0671 loss: 9.7811 loss_cls: 0.2675 loss_bbox: 0.1444 loss_iou: 0.2348 d0.loss_cls: 0.2987 d0.loss_bbox: 0.1578 d0.loss_iou: 0.2510 d1.loss_cls: 0.2810 d1.loss_bbox: 0.1501 d1.loss_iou: 0.2415 d2.loss_cls: 0.2769 d2.loss_bbox: 0.1442 d2.loss_iou: 0.2352 d3.loss_cls: 0.2713 d3.loss_bbox: 0.1429 d3.loss_iou: 0.2347 d4.loss_cls: 0.2686 d4.loss_bbox: 0.1448 d4.loss_iou: 0.2349 enc_loss_cls: 0.3244 enc_loss_bbox: 0.1676 enc_loss_iou: 0.2680 dn_loss_cls: 0.1132 dn_loss_bbox: 0.2019 dn_loss_iou: 0.2370 d0.dn_loss_cls: 0.2090 d0.dn_loss_bbox: 0.3907 d0.dn_loss_iou: 0.4060 d1.dn_loss_cls: 0.1451 d1.dn_loss_bbox: 0.2401 d1.dn_loss_iou: 0.2755 d2.dn_loss_cls: 0.1279 d2.dn_loss_bbox: 0.2098 d2.dn_loss_iou: 0.2474 d3.dn_loss_cls: 0.1172 d3.dn_loss_bbox: 0.2018 d3.dn_loss_iou: 0.2385 d4.dn_loss_cls: 0.1141 d4.dn_loss_bbox: 0.2018 d4.dn_loss_iou: 0.2369 d1.loss_lmm_region: 0.2271 loss_lmm_image: 0.8998 +2024/11/07 09:01:35 - mmengine - INFO - Iter(train) [ 19500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:19:25 time: 1.0271 data_time: 0.0175 memory: 22625 grad_norm: 21.2069 loss: 10.2162 loss_cls: 0.2939 loss_bbox: 0.1596 loss_iou: 0.2370 d0.loss_cls: 0.3283 d0.loss_bbox: 0.1766 d0.loss_iou: 0.2524 d1.loss_cls: 0.3086 d1.loss_bbox: 0.1714 d1.loss_iou: 0.2434 d2.loss_cls: 0.3064 d2.loss_bbox: 0.1598 d2.loss_iou: 0.2374 d3.loss_cls: 0.3004 d3.loss_bbox: 0.1600 d3.loss_iou: 0.2370 d4.loss_cls: 0.2961 d4.loss_bbox: 0.1594 d4.loss_iou: 0.2359 enc_loss_cls: 0.3471 enc_loss_bbox: 0.1921 enc_loss_iou: 0.2747 dn_loss_cls: 0.1093 dn_loss_bbox: 0.2213 dn_loss_iou: 0.2407 d0.dn_loss_cls: 0.2132 d0.dn_loss_bbox: 0.4160 d0.dn_loss_iou: 0.4062 d1.dn_loss_cls: 0.1477 d1.dn_loss_bbox: 0.2621 d1.dn_loss_iou: 0.2787 d2.dn_loss_cls: 0.1296 d2.dn_loss_bbox: 0.2338 d2.dn_loss_iou: 0.2522 d3.dn_loss_cls: 0.1146 d3.dn_loss_bbox: 0.2225 d3.dn_loss_iou: 0.2421 d4.dn_loss_cls: 0.1095 d4.dn_loss_bbox: 0.2211 d4.dn_loss_iou: 0.2407 d1.loss_lmm_region: 0.2249 loss_lmm_image: 0.8525 +2024/11/07 09:03:17 - mmengine - INFO - Iter(train) [ 19600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:17:38 time: 1.0250 data_time: 0.0174 memory: 23425 grad_norm: 21.4298 loss: 9.4452 loss_cls: 0.2865 loss_bbox: 0.1372 loss_iou: 0.2495 d0.loss_cls: 0.3090 d0.loss_bbox: 0.1522 d0.loss_iou: 0.2725 d1.loss_cls: 0.2963 d1.loss_bbox: 0.1463 d1.loss_iou: 0.2600 d2.loss_cls: 0.2913 d2.loss_bbox: 0.1404 d2.loss_iou: 0.2528 d3.loss_cls: 0.2922 d3.loss_bbox: 0.1372 d3.loss_iou: 0.2494 d4.loss_cls: 0.2895 d4.loss_bbox: 0.1357 d4.loss_iou: 0.2497 enc_loss_cls: 0.3217 enc_loss_bbox: 0.1663 enc_loss_iou: 0.2960 dn_loss_cls: 0.0943 dn_loss_bbox: 0.1708 dn_loss_iou: 0.2259 d0.dn_loss_cls: 0.1782 d0.dn_loss_bbox: 0.3288 d0.dn_loss_iou: 0.3801 d1.dn_loss_cls: 0.1261 d1.dn_loss_bbox: 0.2043 d1.dn_loss_iou: 0.2608 d2.dn_loss_cls: 0.1102 d2.dn_loss_bbox: 0.1777 d2.dn_loss_iou: 0.2346 d3.dn_loss_cls: 0.0980 d3.dn_loss_bbox: 0.1711 d3.dn_loss_iou: 0.2272 d4.dn_loss_cls: 0.0945 d4.dn_loss_bbox: 0.1707 d4.dn_loss_iou: 0.2258 d1.loss_lmm_region: 0.1703 loss_lmm_image: 0.8640 +2024/11/07 09:05:01 - mmengine - INFO - Iter(train) [ 19700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:16:02 time: 1.0355 data_time: 0.0173 memory: 23436 grad_norm: 23.8641 loss: 11.0404 loss_cls: 0.3151 loss_bbox: 0.1922 loss_iou: 0.3208 d0.loss_cls: 0.3491 d0.loss_bbox: 0.2124 d0.loss_iou: 0.3452 d1.loss_cls: 0.3283 d1.loss_bbox: 0.2003 d1.loss_iou: 0.3331 d2.loss_cls: 0.3263 d2.loss_bbox: 0.1915 d2.loss_iou: 0.3235 d3.loss_cls: 0.3211 d3.loss_bbox: 0.1911 d3.loss_iou: 0.3217 d4.loss_cls: 0.3173 d4.loss_bbox: 0.1923 d4.loss_iou: 0.3204 enc_loss_cls: 0.3627 enc_loss_bbox: 0.2332 enc_loss_iou: 0.3732 dn_loss_cls: 0.1067 dn_loss_bbox: 0.1959 dn_loss_iou: 0.2490 d0.dn_loss_cls: 0.1964 d0.dn_loss_bbox: 0.3579 d0.dn_loss_iou: 0.4091 d1.dn_loss_cls: 0.1357 d1.dn_loss_bbox: 0.2294 d1.dn_loss_iou: 0.2846 d2.dn_loss_cls: 0.1171 d2.dn_loss_bbox: 0.2040 d2.dn_loss_iou: 0.2596 d3.dn_loss_cls: 0.1108 d3.dn_loss_bbox: 0.1975 d3.dn_loss_iou: 0.2509 d4.dn_loss_cls: 0.1086 d4.dn_loss_bbox: 0.1959 d4.dn_loss_iou: 0.2489 d1.loss_lmm_region: 0.1827 loss_lmm_image: 0.9291 +2024/11/07 09:06:44 - mmengine - INFO - Iter(train) [ 19800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:14:19 time: 1.0364 data_time: 0.0173 memory: 24425 grad_norm: 21.6353 loss: 8.7399 loss_cls: 0.2830 loss_bbox: 0.1229 loss_iou: 0.2157 d0.loss_cls: 0.3152 d0.loss_bbox: 0.1320 d0.loss_iou: 0.2332 d1.loss_cls: 0.2984 d1.loss_bbox: 0.1254 d1.loss_iou: 0.2228 d2.loss_cls: 0.2905 d2.loss_bbox: 0.1231 d2.loss_iou: 0.2179 d3.loss_cls: 0.2867 d3.loss_bbox: 0.1230 d3.loss_iou: 0.2174 d4.loss_cls: 0.2839 d4.loss_bbox: 0.1237 d4.loss_iou: 0.2165 enc_loss_cls: 0.3283 enc_loss_bbox: 0.1495 enc_loss_iou: 0.2536 dn_loss_cls: 0.0695 dn_loss_bbox: 0.1537 dn_loss_iou: 0.2006 d0.dn_loss_cls: 0.1554 d0.dn_loss_bbox: 0.3082 d0.dn_loss_iou: 0.3394 d1.dn_loss_cls: 0.1023 d1.dn_loss_bbox: 0.1889 d1.dn_loss_iou: 0.2320 d2.dn_loss_cls: 0.0837 d2.dn_loss_bbox: 0.1621 d2.dn_loss_iou: 0.2085 d3.dn_loss_cls: 0.0743 d3.dn_loss_bbox: 0.1556 d3.dn_loss_iou: 0.2024 d4.dn_loss_cls: 0.0698 d4.dn_loss_bbox: 0.1537 d4.dn_loss_iou: 0.2006 d1.loss_lmm_region: 0.2093 loss_lmm_image: 0.9073 +2024/11/07 09:08:28 - mmengine - INFO - Iter(train) [ 19900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:12:39 time: 1.0282 data_time: 0.0172 memory: 24310 grad_norm: 22.8929 loss: 9.5947 loss_cls: 0.2954 loss_bbox: 0.1310 loss_iou: 0.2519 d0.loss_cls: 0.3191 d0.loss_bbox: 0.1493 d0.loss_iou: 0.2692 d1.loss_cls: 0.3113 d1.loss_bbox: 0.1382 d1.loss_iou: 0.2607 d2.loss_cls: 0.3015 d2.loss_bbox: 0.1332 d2.loss_iou: 0.2579 d3.loss_cls: 0.2988 d3.loss_bbox: 0.1315 d3.loss_iou: 0.2530 d4.loss_cls: 0.2964 d4.loss_bbox: 0.1314 d4.loss_iou: 0.2522 enc_loss_cls: 0.3312 enc_loss_bbox: 0.1630 enc_loss_iou: 0.2890 dn_loss_cls: 0.0981 dn_loss_bbox: 0.1818 dn_loss_iou: 0.2256 d0.dn_loss_cls: 0.1805 d0.dn_loss_bbox: 0.3445 d0.dn_loss_iou: 0.3837 d1.dn_loss_cls: 0.1274 d1.dn_loss_bbox: 0.2171 d1.dn_loss_iou: 0.2624 d2.dn_loss_cls: 0.1129 d2.dn_loss_bbox: 0.1912 d2.dn_loss_iou: 0.2356 d3.dn_loss_cls: 0.1027 d3.dn_loss_bbox: 0.1838 d3.dn_loss_iou: 0.2274 d4.dn_loss_cls: 0.0993 d4.dn_loss_bbox: 0.1817 d4.dn_loss_iou: 0.2255 d1.loss_lmm_region: 0.1737 loss_lmm_image: 0.8742 +2024/11/07 09:10:11 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/07 09:10:11 - mmengine - INFO - Iter(train) [ 20000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:11:00 time: 1.0386 data_time: 0.0174 memory: 23480 grad_norm: 23.4930 loss: 9.6133 loss_cls: 0.2814 loss_bbox: 0.1419 loss_iou: 0.2265 d0.loss_cls: 0.3284 d0.loss_bbox: 0.1443 d0.loss_iou: 0.2380 d1.loss_cls: 0.3033 d1.loss_bbox: 0.1432 d1.loss_iou: 0.2321 d2.loss_cls: 0.2915 d2.loss_bbox: 0.1424 d2.loss_iou: 0.2298 d3.loss_cls: 0.2857 d3.loss_bbox: 0.1451 d3.loss_iou: 0.2287 d4.loss_cls: 0.2784 d4.loss_bbox: 0.1433 d4.loss_iou: 0.2263 enc_loss_cls: 0.3434 enc_loss_bbox: 0.1604 enc_loss_iou: 0.2578 dn_loss_cls: 0.1052 dn_loss_bbox: 0.2075 dn_loss_iou: 0.2178 d0.dn_loss_cls: 0.1974 d0.dn_loss_bbox: 0.3780 d0.dn_loss_iou: 0.3733 d1.dn_loss_cls: 0.1387 d1.dn_loss_bbox: 0.2454 d1.dn_loss_iou: 0.2535 d2.dn_loss_cls: 0.1203 d2.dn_loss_bbox: 0.2196 d2.dn_loss_iou: 0.2283 d3.dn_loss_cls: 0.1090 d3.dn_loss_bbox: 0.2098 d3.dn_loss_iou: 0.2199 d4.dn_loss_cls: 0.1053 d4.dn_loss_bbox: 0.2075 d4.dn_loss_iou: 0.2179 d1.loss_lmm_region: 0.2055 loss_lmm_image: 0.8812 +2024/11/07 09:11:55 - mmengine - INFO - Iter(train) [ 20100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:09:20 time: 1.0207 data_time: 0.0173 memory: 24204 grad_norm: 24.2022 loss: 9.9031 loss_cls: 0.2926 loss_bbox: 0.1499 loss_iou: 0.2773 d0.loss_cls: 0.3278 d0.loss_bbox: 0.1680 d0.loss_iou: 0.2981 d1.loss_cls: 0.3242 d1.loss_bbox: 0.1496 d1.loss_iou: 0.2789 d2.loss_cls: 0.3041 d2.loss_bbox: 0.1507 d2.loss_iou: 0.2801 d3.loss_cls: 0.2974 d3.loss_bbox: 0.1508 d3.loss_iou: 0.2784 d4.loss_cls: 0.2953 d4.loss_bbox: 0.1499 d4.loss_iou: 0.2770 enc_loss_cls: 0.3470 enc_loss_bbox: 0.1782 enc_loss_iou: 0.3159 dn_loss_cls: 0.0862 dn_loss_bbox: 0.1682 dn_loss_iou: 0.2333 d0.dn_loss_cls: 0.1751 d0.dn_loss_bbox: 0.3404 d0.dn_loss_iou: 0.3961 d1.dn_loss_cls: 0.1173 d1.dn_loss_bbox: 0.2126 d1.dn_loss_iou: 0.2719 d2.dn_loss_cls: 0.1005 d2.dn_loss_bbox: 0.1791 d2.dn_loss_iou: 0.2436 d3.dn_loss_cls: 0.0904 d3.dn_loss_bbox: 0.1700 d3.dn_loss_iou: 0.2349 d4.dn_loss_cls: 0.0866 d4.dn_loss_bbox: 0.1680 d4.dn_loss_iou: 0.2332 d1.loss_lmm_region: 0.1933 loss_lmm_image: 0.9113 +2024/11/07 09:13:37 - mmengine - INFO - Iter(train) [ 20200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:07:35 time: 1.0261 data_time: 0.0174 memory: 23711 grad_norm: 23.5482 loss: 9.8089 loss_cls: 0.2864 loss_bbox: 0.1481 loss_iou: 0.2870 d0.loss_cls: 0.3205 d0.loss_bbox: 0.1607 d0.loss_iou: 0.3040 d1.loss_cls: 0.3081 d1.loss_bbox: 0.1457 d1.loss_iou: 0.2879 d2.loss_cls: 0.2996 d2.loss_bbox: 0.1423 d2.loss_iou: 0.2855 d3.loss_cls: 0.2967 d3.loss_bbox: 0.1421 d3.loss_iou: 0.2831 d4.loss_cls: 0.2917 d4.loss_bbox: 0.1448 d4.loss_iou: 0.2860 enc_loss_cls: 0.3331 enc_loss_bbox: 0.1703 enc_loss_iou: 0.3250 dn_loss_cls: 0.0820 dn_loss_bbox: 0.1795 dn_loss_iou: 0.2390 d0.dn_loss_cls: 0.1664 d0.dn_loss_bbox: 0.3412 d0.dn_loss_iou: 0.3972 d1.dn_loss_cls: 0.1086 d1.dn_loss_bbox: 0.2116 d1.dn_loss_iou: 0.2721 d2.dn_loss_cls: 0.0950 d2.dn_loss_bbox: 0.1844 d2.dn_loss_iou: 0.2460 d3.dn_loss_cls: 0.0865 d3.dn_loss_bbox: 0.1813 d3.dn_loss_iou: 0.2405 d4.dn_loss_cls: 0.0819 d4.dn_loss_bbox: 0.1793 d4.dn_loss_iou: 0.2387 d1.loss_lmm_region: 0.1448 loss_lmm_image: 0.8843 +2024/11/07 09:15:20 - mmengine - INFO - Iter(train) [ 20300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:05:52 time: 1.0371 data_time: 0.0173 memory: 25546 grad_norm: 22.4661 loss: 10.4229 loss_cls: 0.3417 loss_bbox: 0.1614 loss_iou: 0.2900 d0.loss_cls: 0.3863 d0.loss_bbox: 0.1748 d0.loss_iou: 0.3112 d1.loss_cls: 0.3737 d1.loss_bbox: 0.1623 d1.loss_iou: 0.2959 d2.loss_cls: 0.3553 d2.loss_bbox: 0.1621 d2.loss_iou: 0.2933 d3.loss_cls: 0.3498 d3.loss_bbox: 0.1611 d3.loss_iou: 0.2895 d4.loss_cls: 0.3413 d4.loss_bbox: 0.1633 d4.loss_iou: 0.2906 enc_loss_cls: 0.3931 enc_loss_bbox: 0.1963 enc_loss_iou: 0.3438 dn_loss_cls: 0.1048 dn_loss_bbox: 0.1700 dn_loss_iou: 0.2179 d0.dn_loss_cls: 0.1849 d0.dn_loss_bbox: 0.3189 d0.dn_loss_iou: 0.3643 d1.dn_loss_cls: 0.1313 d1.dn_loss_bbox: 0.2018 d1.dn_loss_iou: 0.2516 d2.dn_loss_cls: 0.1181 d2.dn_loss_bbox: 0.1775 d2.dn_loss_iou: 0.2272 d3.dn_loss_cls: 0.1122 d3.dn_loss_bbox: 0.1711 d3.dn_loss_iou: 0.2192 d4.dn_loss_cls: 0.1074 d4.dn_loss_bbox: 0.1700 d4.dn_loss_iou: 0.2179 d1.loss_lmm_region: 0.2125 loss_lmm_image: 0.9077 +2024/11/07 09:17:04 - mmengine - INFO - Iter(train) [ 20400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:04:15 time: 1.0367 data_time: 0.0174 memory: 23910 grad_norm: 23.9367 loss: 10.0976 loss_cls: 0.3386 loss_bbox: 0.1457 loss_iou: 0.2539 d0.loss_cls: 0.3700 d0.loss_bbox: 0.1556 d0.loss_iou: 0.2737 d1.loss_cls: 0.3514 d1.loss_bbox: 0.1477 d1.loss_iou: 0.2615 d2.loss_cls: 0.3503 d2.loss_bbox: 0.1390 d2.loss_iou: 0.2527 d3.loss_cls: 0.3458 d3.loss_bbox: 0.1424 d3.loss_iou: 0.2531 d4.loss_cls: 0.3383 d4.loss_bbox: 0.1486 d4.loss_iou: 0.2547 enc_loss_cls: 0.3896 enc_loss_bbox: 0.1712 enc_loss_iou: 0.2929 dn_loss_cls: 0.1054 dn_loss_bbox: 0.1764 dn_loss_iou: 0.2173 d0.dn_loss_cls: 0.2012 d0.dn_loss_bbox: 0.3433 d0.dn_loss_iou: 0.3692 d1.dn_loss_cls: 0.1415 d1.dn_loss_bbox: 0.2171 d1.dn_loss_iou: 0.2523 d2.dn_loss_cls: 0.1225 d2.dn_loss_bbox: 0.1888 d2.dn_loss_iou: 0.2281 d3.dn_loss_cls: 0.1128 d3.dn_loss_bbox: 0.1787 d3.dn_loss_iou: 0.2190 d4.dn_loss_cls: 0.1069 d4.dn_loss_bbox: 0.1761 d4.dn_loss_iou: 0.2173 d1.loss_lmm_region: 0.2267 loss_lmm_image: 0.9202 +2024/11/07 09:18:46 - mmengine - INFO - Iter(train) [ 20500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:02:26 time: 1.0234 data_time: 0.0174 memory: 23979 grad_norm: 29.5877 loss: 9.6070 loss_cls: 0.3118 loss_bbox: 0.1311 loss_iou: 0.2452 d0.loss_cls: 0.3345 d0.loss_bbox: 0.1483 d0.loss_iou: 0.2651 d1.loss_cls: 0.3232 d1.loss_bbox: 0.1404 d1.loss_iou: 0.2531 d2.loss_cls: 0.3171 d2.loss_bbox: 0.1335 d2.loss_iou: 0.2475 d3.loss_cls: 0.3127 d3.loss_bbox: 0.1324 d3.loss_iou: 0.2476 d4.loss_cls: 0.3112 d4.loss_bbox: 0.1326 d4.loss_iou: 0.2469 enc_loss_cls: 0.3523 enc_loss_bbox: 0.1662 enc_loss_iou: 0.2863 dn_loss_cls: 0.1144 dn_loss_bbox: 0.1632 dn_loss_iou: 0.2172 d0.dn_loss_cls: 0.1942 d0.dn_loss_bbox: 0.3058 d0.dn_loss_iou: 0.3612 d1.dn_loss_cls: 0.1467 d1.dn_loss_bbox: 0.1988 d1.dn_loss_iou: 0.2500 d2.dn_loss_cls: 0.1343 d2.dn_loss_bbox: 0.1748 d2.dn_loss_iou: 0.2264 d3.dn_loss_cls: 0.1208 d3.dn_loss_bbox: 0.1662 d3.dn_loss_iou: 0.2187 d4.dn_loss_cls: 0.1153 d4.dn_loss_bbox: 0.1631 d4.dn_loss_iou: 0.2169 d1.loss_lmm_region: 0.1638 loss_lmm_image: 0.9162 +2024/11/07 09:20:30 - mmengine - INFO - Iter(train) [ 20600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:00:50 time: 1.0347 data_time: 0.0174 memory: 24422 grad_norm: 22.4968 loss: 8.8009 loss_cls: 0.2619 loss_bbox: 0.1253 loss_iou: 0.2235 d0.loss_cls: 0.2845 d0.loss_bbox: 0.1350 d0.loss_iou: 0.2339 d1.loss_cls: 0.2698 d1.loss_bbox: 0.1288 d1.loss_iou: 0.2264 d2.loss_cls: 0.2676 d2.loss_bbox: 0.1252 d2.loss_iou: 0.2229 d3.loss_cls: 0.2636 d3.loss_bbox: 0.1268 d3.loss_iou: 0.2236 d4.loss_cls: 0.2626 d4.loss_bbox: 0.1258 d4.loss_iou: 0.2232 enc_loss_cls: 0.3013 enc_loss_bbox: 0.1476 enc_loss_iou: 0.2548 dn_loss_cls: 0.0912 dn_loss_bbox: 0.1577 dn_loss_iou: 0.2184 d0.dn_loss_cls: 0.1825 d0.dn_loss_bbox: 0.3110 d0.dn_loss_iou: 0.3714 d1.dn_loss_cls: 0.1248 d1.dn_loss_bbox: 0.1871 d1.dn_loss_iou: 0.2488 d2.dn_loss_cls: 0.1080 d2.dn_loss_bbox: 0.1624 d2.dn_loss_iou: 0.2247 d3.dn_loss_cls: 0.0978 d3.dn_loss_bbox: 0.1585 d3.dn_loss_iou: 0.2195 d4.dn_loss_cls: 0.0927 d4.dn_loss_bbox: 0.1577 d4.dn_loss_iou: 0.2183 d1.loss_lmm_region: 0.1700 loss_lmm_image: 0.8645 +2024/11/07 09:22:14 - mmengine - INFO - Iter(train) [ 20700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:59:10 time: 1.0363 data_time: 0.0173 memory: 23752 grad_norm: 23.2640 loss: 9.4796 loss_cls: 0.3004 loss_bbox: 0.1414 loss_iou: 0.2792 d0.loss_cls: 0.3272 d0.loss_bbox: 0.1594 d0.loss_iou: 0.2958 d1.loss_cls: 0.3087 d1.loss_bbox: 0.1506 d1.loss_iou: 0.2911 d2.loss_cls: 0.3048 d2.loss_bbox: 0.1460 d2.loss_iou: 0.2846 d3.loss_cls: 0.3011 d3.loss_bbox: 0.1417 d3.loss_iou: 0.2795 d4.loss_cls: 0.3006 d4.loss_bbox: 0.1417 d4.loss_iou: 0.2796 enc_loss_cls: 0.3469 enc_loss_bbox: 0.1685 enc_loss_iou: 0.3183 dn_loss_cls: 0.0881 dn_loss_bbox: 0.1408 dn_loss_iou: 0.2168 d0.dn_loss_cls: 0.1697 d0.dn_loss_bbox: 0.2703 d0.dn_loss_iou: 0.3623 d1.dn_loss_cls: 0.1165 d1.dn_loss_bbox: 0.1674 d1.dn_loss_iou: 0.2473 d2.dn_loss_cls: 0.1005 d2.dn_loss_bbox: 0.1485 d2.dn_loss_iou: 0.2248 d3.dn_loss_cls: 0.0942 d3.dn_loss_bbox: 0.1416 d3.dn_loss_iou: 0.2176 d4.dn_loss_cls: 0.0894 d4.dn_loss_bbox: 0.1408 d4.dn_loss_iou: 0.2167 d1.loss_lmm_region: 0.1751 loss_lmm_image: 0.8839 +2024/11/07 09:23:56 - mmengine - INFO - Iter(train) [ 20800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:57:26 time: 1.0244 data_time: 0.0173 memory: 23264 grad_norm: 24.5749 loss: 11.9983 loss_cls: 0.4266 loss_bbox: 0.1884 loss_iou: 0.3548 d0.loss_cls: 0.4781 d0.loss_bbox: 0.1969 d0.loss_iou: 0.3662 d1.loss_cls: 0.4526 d1.loss_bbox: 0.1913 d1.loss_iou: 0.3579 d2.loss_cls: 0.4355 d2.loss_bbox: 0.1879 d2.loss_iou: 0.3493 d3.loss_cls: 0.4327 d3.loss_bbox: 0.1870 d3.loss_iou: 0.3481 d4.loss_cls: 0.4300 d4.loss_bbox: 0.1897 d4.loss_iou: 0.3541 enc_loss_cls: 0.4852 enc_loss_bbox: 0.2126 enc_loss_iou: 0.3953 dn_loss_cls: 0.1451 dn_loss_bbox: 0.1648 dn_loss_iou: 0.2468 d0.dn_loss_cls: 0.2238 d0.dn_loss_bbox: 0.3069 d0.dn_loss_iou: 0.3974 d1.dn_loss_cls: 0.1765 d1.dn_loss_bbox: 0.1996 d1.dn_loss_iou: 0.2826 d2.dn_loss_cls: 0.1652 d2.dn_loss_bbox: 0.1737 d2.dn_loss_iou: 0.2570 d3.dn_loss_cls: 0.1534 d3.dn_loss_bbox: 0.1662 d3.dn_loss_iou: 0.2488 d4.dn_loss_cls: 0.1468 d4.dn_loss_bbox: 0.1650 d4.dn_loss_iou: 0.2471 d1.loss_lmm_region: 0.2368 loss_lmm_image: 0.8747 +2024/11/07 09:25:41 - mmengine - INFO - Iter(train) [ 20900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:55:51 time: 1.0357 data_time: 0.0174 memory: 23593 grad_norm: 23.2874 loss: 9.9018 loss_cls: 0.3061 loss_bbox: 0.1399 loss_iou: 0.2482 d0.loss_cls: 0.3486 d0.loss_bbox: 0.1516 d0.loss_iou: 0.2643 d1.loss_cls: 0.3233 d1.loss_bbox: 0.1491 d1.loss_iou: 0.2548 d2.loss_cls: 0.3178 d2.loss_bbox: 0.1439 d2.loss_iou: 0.2507 d3.loss_cls: 0.3151 d3.loss_bbox: 0.1419 d3.loss_iou: 0.2487 d4.loss_cls: 0.3068 d4.loss_bbox: 0.1405 d4.loss_iou: 0.2491 enc_loss_cls: 0.3652 enc_loss_bbox: 0.1745 enc_loss_iou: 0.2923 dn_loss_cls: 0.0957 dn_loss_bbox: 0.1974 dn_loss_iou: 0.2250 d0.dn_loss_cls: 0.1828 d0.dn_loss_bbox: 0.3766 d0.dn_loss_iou: 0.3782 d1.dn_loss_cls: 0.1293 d1.dn_loss_bbox: 0.2377 d1.dn_loss_iou: 0.2601 d2.dn_loss_cls: 0.1101 d2.dn_loss_bbox: 0.2085 d2.dn_loss_iou: 0.2336 d3.dn_loss_cls: 0.1018 d3.dn_loss_bbox: 0.1983 d3.dn_loss_iou: 0.2265 d4.dn_loss_cls: 0.0970 d4.dn_loss_bbox: 0.1974 d4.dn_loss_iou: 0.2250 d1.loss_lmm_region: 0.1862 loss_lmm_image: 0.9020 +2024/11/07 09:27:24 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/07 09:27:24 - mmengine - INFO - Iter(train) [ 21000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:54:08 time: 1.0319 data_time: 0.0174 memory: 23815 grad_norm: 22.8945 loss: 10.5145 loss_cls: 0.3436 loss_bbox: 0.1479 loss_iou: 0.2849 d0.loss_cls: 0.3815 d0.loss_bbox: 0.1646 d0.loss_iou: 0.3057 d1.loss_cls: 0.3651 d1.loss_bbox: 0.1526 d1.loss_iou: 0.2917 d2.loss_cls: 0.3555 d2.loss_bbox: 0.1505 d2.loss_iou: 0.2901 d3.loss_cls: 0.3456 d3.loss_bbox: 0.1503 d3.loss_iou: 0.2879 d4.loss_cls: 0.3469 d4.loss_bbox: 0.1475 d4.loss_iou: 0.2846 enc_loss_cls: 0.3960 enc_loss_bbox: 0.1773 enc_loss_iou: 0.3248 dn_loss_cls: 0.1167 dn_loss_bbox: 0.1756 dn_loss_iou: 0.2452 d0.dn_loss_cls: 0.2094 d0.dn_loss_bbox: 0.3316 d0.dn_loss_iou: 0.4139 d1.dn_loss_cls: 0.1526 d1.dn_loss_bbox: 0.2122 d1.dn_loss_iou: 0.2878 d2.dn_loss_cls: 0.1360 d2.dn_loss_bbox: 0.1837 d2.dn_loss_iou: 0.2566 d3.dn_loss_cls: 0.1224 d3.dn_loss_bbox: 0.1757 d3.dn_loss_iou: 0.2466 d4.dn_loss_cls: 0.1187 d4.dn_loss_bbox: 0.1755 d4.dn_loss_iou: 0.2451 d1.loss_lmm_region: 0.1638 loss_lmm_image: 0.8507 +2024/11/07 09:29:08 - mmengine - INFO - Iter(train) [ 21100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:52:33 time: 1.0358 data_time: 0.0174 memory: 23911 grad_norm: 19.6716 loss: 11.3431 loss_cls: 0.3489 loss_bbox: 0.1838 loss_iou: 0.3361 d0.loss_cls: 0.3919 d0.loss_bbox: 0.1976 d0.loss_iou: 0.3613 d1.loss_cls: 0.3703 d1.loss_bbox: 0.1892 d1.loss_iou: 0.3452 d2.loss_cls: 0.3592 d2.loss_bbox: 0.1885 d2.loss_iou: 0.3390 d3.loss_cls: 0.3560 d3.loss_bbox: 0.1808 d3.loss_iou: 0.3359 d4.loss_cls: 0.3478 d4.loss_bbox: 0.1828 d4.loss_iou: 0.3353 enc_loss_cls: 0.4086 enc_loss_bbox: 0.2087 enc_loss_iou: 0.3821 dn_loss_cls: 0.0904 dn_loss_bbox: 0.2004 dn_loss_iou: 0.2666 d0.dn_loss_cls: 0.1936 d0.dn_loss_bbox: 0.3745 d0.dn_loss_iou: 0.4376 d1.dn_loss_cls: 0.1298 d1.dn_loss_bbox: 0.2387 d1.dn_loss_iou: 0.3047 d2.dn_loss_cls: 0.1093 d2.dn_loss_bbox: 0.2085 d2.dn_loss_iou: 0.2759 d3.dn_loss_cls: 0.0970 d3.dn_loss_bbox: 0.2017 d3.dn_loss_iou: 0.2680 d4.dn_loss_cls: 0.0911 d4.dn_loss_bbox: 0.2004 d4.dn_loss_iou: 0.2668 d1.loss_lmm_region: 0.1746 loss_lmm_image: 0.8647 +2024/11/07 09:30:51 - mmengine - INFO - Iter(train) [ 21200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:50:52 time: 1.0340 data_time: 0.0175 memory: 24226 grad_norm: 23.1795 loss: 10.8202 loss_cls: 0.3792 loss_bbox: 0.1476 loss_iou: 0.2794 d0.loss_cls: 0.4246 d0.loss_bbox: 0.1621 d0.loss_iou: 0.3011 d1.loss_cls: 0.3972 d1.loss_bbox: 0.1578 d1.loss_iou: 0.2893 d2.loss_cls: 0.3874 d2.loss_bbox: 0.1502 d2.loss_iou: 0.2813 d3.loss_cls: 0.3839 d3.loss_bbox: 0.1486 d3.loss_iou: 0.2810 d4.loss_cls: 0.3799 d4.loss_bbox: 0.1495 d4.loss_iou: 0.2836 enc_loss_cls: 0.4355 enc_loss_bbox: 0.1745 enc_loss_iou: 0.3247 dn_loss_cls: 0.1008 dn_loss_bbox: 0.1781 dn_loss_iou: 0.2430 d0.dn_loss_cls: 0.2122 d0.dn_loss_bbox: 0.3518 d0.dn_loss_iou: 0.4222 d1.dn_loss_cls: 0.1464 d1.dn_loss_bbox: 0.2175 d1.dn_loss_iou: 0.2834 d2.dn_loss_cls: 0.1191 d2.dn_loss_bbox: 0.1849 d2.dn_loss_iou: 0.2528 d3.dn_loss_cls: 0.1062 d3.dn_loss_bbox: 0.1800 d3.dn_loss_iou: 0.2445 d4.dn_loss_cls: 0.1007 d4.dn_loss_bbox: 0.1780 d4.dn_loss_iou: 0.2429 d1.loss_lmm_region: 0.2184 loss_lmm_image: 0.9193 +2024/11/07 09:32:35 - mmengine - INFO - Iter(train) [ 21300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:49:12 time: 1.0339 data_time: 0.0173 memory: 23366 grad_norm: 20.6066 loss: 9.2241 loss_cls: 0.2684 loss_bbox: 0.1250 loss_iou: 0.2290 d0.loss_cls: 0.2985 d0.loss_bbox: 0.1390 d0.loss_iou: 0.2374 d1.loss_cls: 0.2813 d1.loss_bbox: 0.1304 d1.loss_iou: 0.2321 d2.loss_cls: 0.2746 d2.loss_bbox: 0.1276 d2.loss_iou: 0.2287 d3.loss_cls: 0.2721 d3.loss_bbox: 0.1243 d3.loss_iou: 0.2270 d4.loss_cls: 0.2683 d4.loss_bbox: 0.1244 d4.loss_iou: 0.2286 enc_loss_cls: 0.3059 enc_loss_bbox: 0.1543 enc_loss_iou: 0.2595 dn_loss_cls: 0.1025 dn_loss_bbox: 0.1778 dn_loss_iou: 0.2233 d0.dn_loss_cls: 0.1851 d0.dn_loss_bbox: 0.3448 d0.dn_loss_iou: 0.3771 d1.dn_loss_cls: 0.1339 d1.dn_loss_bbox: 0.2173 d1.dn_loss_iou: 0.2612 d2.dn_loss_cls: 0.1169 d2.dn_loss_bbox: 0.1864 d2.dn_loss_iou: 0.2319 d3.dn_loss_cls: 0.1085 d3.dn_loss_bbox: 0.1788 d3.dn_loss_iou: 0.2244 d4.dn_loss_cls: 0.1039 d4.dn_loss_bbox: 0.1777 d4.dn_loss_iou: 0.2231 d1.loss_lmm_region: 0.1935 loss_lmm_image: 0.9198 +2024/11/07 09:34:18 - mmengine - INFO - Iter(train) [ 21400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:47:33 time: 1.0296 data_time: 0.0172 memory: 23584 grad_norm: 25.2659 loss: 10.5035 loss_cls: 0.3372 loss_bbox: 0.1466 loss_iou: 0.2748 d0.loss_cls: 0.3645 d0.loss_bbox: 0.1680 d0.loss_iou: 0.3015 d1.loss_cls: 0.3591 d1.loss_bbox: 0.1522 d1.loss_iou: 0.2827 d2.loss_cls: 0.3464 d2.loss_bbox: 0.1479 d2.loss_iou: 0.2839 d3.loss_cls: 0.3449 d3.loss_bbox: 0.1450 d3.loss_iou: 0.2764 d4.loss_cls: 0.3370 d4.loss_bbox: 0.1465 d4.loss_iou: 0.2749 enc_loss_cls: 0.3903 enc_loss_bbox: 0.1705 enc_loss_iou: 0.3120 dn_loss_cls: 0.1175 dn_loss_bbox: 0.1897 dn_loss_iou: 0.2435 d0.dn_loss_cls: 0.2020 d0.dn_loss_bbox: 0.3517 d0.dn_loss_iou: 0.4085 d1.dn_loss_cls: 0.1478 d1.dn_loss_bbox: 0.2267 d1.dn_loss_iou: 0.2810 d2.dn_loss_cls: 0.1309 d2.dn_loss_bbox: 0.2007 d2.dn_loss_iou: 0.2535 d3.dn_loss_cls: 0.1224 d3.dn_loss_bbox: 0.1912 d3.dn_loss_iou: 0.2450 d4.dn_loss_cls: 0.1178 d4.dn_loss_bbox: 0.1897 d4.dn_loss_iou: 0.2435 d1.loss_lmm_region: 0.1994 loss_lmm_image: 0.8784 +2024/11/07 09:36:02 - mmengine - INFO - Iter(train) [ 21500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:45:52 time: 1.0225 data_time: 0.0173 memory: 23407 grad_norm: 23.0035 loss: 10.0818 loss_cls: 0.2985 loss_bbox: 0.1546 loss_iou: 0.2787 d0.loss_cls: 0.3423 d0.loss_bbox: 0.1708 d0.loss_iou: 0.2959 d1.loss_cls: 0.3171 d1.loss_bbox: 0.1606 d1.loss_iou: 0.2881 d2.loss_cls: 0.3094 d2.loss_bbox: 0.1593 d2.loss_iou: 0.2839 d3.loss_cls: 0.3040 d3.loss_bbox: 0.1549 d3.loss_iou: 0.2827 d4.loss_cls: 0.3004 d4.loss_bbox: 0.1516 d4.loss_iou: 0.2787 enc_loss_cls: 0.3530 enc_loss_bbox: 0.1865 enc_loss_iou: 0.3223 dn_loss_cls: 0.0833 dn_loss_bbox: 0.1793 dn_loss_iou: 0.2393 d0.dn_loss_cls: 0.1745 d0.dn_loss_bbox: 0.3415 d0.dn_loss_iou: 0.3931 d1.dn_loss_cls: 0.1181 d1.dn_loss_bbox: 0.2128 d1.dn_loss_iou: 0.2747 d2.dn_loss_cls: 0.1016 d2.dn_loss_bbox: 0.1886 d2.dn_loss_iou: 0.2486 d3.dn_loss_cls: 0.0913 d3.dn_loss_bbox: 0.1801 d3.dn_loss_iou: 0.2409 d4.dn_loss_cls: 0.0853 d4.dn_loss_bbox: 0.1795 d4.dn_loss_iou: 0.2393 d1.loss_lmm_region: 0.1987 loss_lmm_image: 0.9179 +2024/11/07 09:37:45 - mmengine - INFO - Iter(train) [ 21600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:44:13 time: 1.0368 data_time: 0.0174 memory: 23258 grad_norm: 26.4121 loss: 9.8424 loss_cls: 0.2882 loss_bbox: 0.1453 loss_iou: 0.2512 d0.loss_cls: 0.3296 d0.loss_bbox: 0.1548 d0.loss_iou: 0.2621 d1.loss_cls: 0.3088 d1.loss_bbox: 0.1517 d1.loss_iou: 0.2562 d2.loss_cls: 0.3038 d2.loss_bbox: 0.1473 d2.loss_iou: 0.2529 d3.loss_cls: 0.2963 d3.loss_bbox: 0.1457 d3.loss_iou: 0.2506 d4.loss_cls: 0.2905 d4.loss_bbox: 0.1451 d4.loss_iou: 0.2511 enc_loss_cls: 0.3443 enc_loss_bbox: 0.1692 enc_loss_iou: 0.2827 dn_loss_cls: 0.1101 dn_loss_bbox: 0.1958 dn_loss_iou: 0.2275 d0.dn_loss_cls: 0.1977 d0.dn_loss_bbox: 0.3721 d0.dn_loss_iou: 0.3939 d1.dn_loss_cls: 0.1455 d1.dn_loss_bbox: 0.2288 d1.dn_loss_iou: 0.2654 d2.dn_loss_cls: 0.1293 d2.dn_loss_bbox: 0.2006 d2.dn_loss_iou: 0.2363 d3.dn_loss_cls: 0.1178 d3.dn_loss_bbox: 0.1979 d3.dn_loss_iou: 0.2297 d4.dn_loss_cls: 0.1106 d4.dn_loss_bbox: 0.1958 d4.dn_loss_iou: 0.2275 d1.loss_lmm_region: 0.1610 loss_lmm_image: 0.8717 +2024/11/07 09:39:28 - mmengine - INFO - Iter(train) [ 21700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:42:28 time: 1.0227 data_time: 0.0176 memory: 23824 grad_norm: 23.3908 loss: 10.9489 loss_cls: 0.3601 loss_bbox: 0.1582 loss_iou: 0.3020 d0.loss_cls: 0.3823 d0.loss_bbox: 0.1879 d0.loss_iou: 0.3238 d1.loss_cls: 0.3635 d1.loss_bbox: 0.1767 d1.loss_iou: 0.3112 d2.loss_cls: 0.3571 d2.loss_bbox: 0.1714 d2.loss_iou: 0.3064 d3.loss_cls: 0.3615 d3.loss_bbox: 0.1609 d3.loss_iou: 0.3040 d4.loss_cls: 0.3599 d4.loss_bbox: 0.1601 d4.loss_iou: 0.3027 enc_loss_cls: 0.3997 enc_loss_bbox: 0.2024 enc_loss_iou: 0.3456 dn_loss_cls: 0.0972 dn_loss_bbox: 0.2014 dn_loss_iou: 0.2465 d0.dn_loss_cls: 0.1976 d0.dn_loss_bbox: 0.3706 d0.dn_loss_iou: 0.4168 d1.dn_loss_cls: 0.1322 d1.dn_loss_bbox: 0.2422 d1.dn_loss_iou: 0.2883 d2.dn_loss_cls: 0.1119 d2.dn_loss_bbox: 0.2090 d2.dn_loss_iou: 0.2564 d3.dn_loss_cls: 0.1016 d3.dn_loss_bbox: 0.2019 d3.dn_loss_iou: 0.2475 d4.dn_loss_cls: 0.0974 d4.dn_loss_bbox: 0.2015 d4.dn_loss_iou: 0.2465 d1.loss_lmm_region: 0.1852 loss_lmm_image: 0.9001 +2024/11/07 09:41:12 - mmengine - INFO - Iter(train) [ 21800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:40:52 time: 1.0435 data_time: 0.0174 memory: 24357 grad_norm: 20.9173 loss: 11.1282 loss_cls: 0.3900 loss_bbox: 0.1579 loss_iou: 0.3056 d0.loss_cls: 0.4165 d0.loss_bbox: 0.1742 d0.loss_iou: 0.3287 d1.loss_cls: 0.4021 d1.loss_bbox: 0.1703 d1.loss_iou: 0.3169 d2.loss_cls: 0.3983 d2.loss_bbox: 0.1604 d2.loss_iou: 0.3086 d3.loss_cls: 0.3940 d3.loss_bbox: 0.1552 d3.loss_iou: 0.3084 d4.loss_cls: 0.3912 d4.loss_bbox: 0.1554 d4.loss_iou: 0.3036 enc_loss_cls: 0.4341 enc_loss_bbox: 0.1855 enc_loss_iou: 0.3458 dn_loss_cls: 0.1068 dn_loss_bbox: 0.1882 dn_loss_iou: 0.2503 d0.dn_loss_cls: 0.1958 d0.dn_loss_bbox: 0.3657 d0.dn_loss_iou: 0.4176 d1.dn_loss_cls: 0.1364 d1.dn_loss_bbox: 0.2292 d1.dn_loss_iou: 0.2898 d2.dn_loss_cls: 0.1179 d2.dn_loss_bbox: 0.1982 d2.dn_loss_iou: 0.2605 d3.dn_loss_cls: 0.1112 d3.dn_loss_bbox: 0.1908 d3.dn_loss_iou: 0.2525 d4.dn_loss_cls: 0.1068 d4.dn_loss_bbox: 0.1884 d4.dn_loss_iou: 0.2503 d1.loss_lmm_region: 0.1848 loss_lmm_image: 0.8841 +2024/11/07 09:42:55 - mmengine - INFO - Iter(train) [ 21900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:39:09 time: 1.0368 data_time: 0.0176 memory: 22942 grad_norm: 24.3488 loss: 10.8995 loss_cls: 0.3586 loss_bbox: 0.1785 loss_iou: 0.2887 d0.loss_cls: 0.4225 d0.loss_bbox: 0.1806 d0.loss_iou: 0.2925 d1.loss_cls: 0.3876 d1.loss_bbox: 0.1834 d1.loss_iou: 0.2950 d2.loss_cls: 0.3773 d2.loss_bbox: 0.1791 d2.loss_iou: 0.2880 d3.loss_cls: 0.3731 d3.loss_bbox: 0.1751 d3.loss_iou: 0.2863 d4.loss_cls: 0.3631 d4.loss_bbox: 0.1765 d4.loss_iou: 0.2882 enc_loss_cls: 0.4301 enc_loss_bbox: 0.1972 enc_loss_iou: 0.3234 dn_loss_cls: 0.1123 dn_loss_bbox: 0.1964 dn_loss_iou: 0.2255 d0.dn_loss_cls: 0.2056 d0.dn_loss_bbox: 0.3728 d0.dn_loss_iou: 0.3779 d1.dn_loss_cls: 0.1482 d1.dn_loss_bbox: 0.2365 d1.dn_loss_iou: 0.2622 d2.dn_loss_cls: 0.1286 d2.dn_loss_bbox: 0.2073 d2.dn_loss_iou: 0.2357 d3.dn_loss_cls: 0.1178 d3.dn_loss_bbox: 0.1978 d3.dn_loss_iou: 0.2267 d4.dn_loss_cls: 0.1122 d4.dn_loss_bbox: 0.1965 d4.dn_loss_iou: 0.2255 d1.loss_lmm_region: 0.1898 loss_lmm_image: 0.8796 +2024/11/07 09:44:38 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/07 09:44:38 - mmengine - INFO - Iter(train) [ 22000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:37:25 time: 1.0301 data_time: 0.0174 memory: 23571 grad_norm: 22.3178 loss: 11.1989 loss_cls: 0.3536 loss_bbox: 0.1793 loss_iou: 0.3016 d0.loss_cls: 0.3954 d0.loss_bbox: 0.1911 d0.loss_iou: 0.3217 d1.loss_cls: 0.3778 d1.loss_bbox: 0.1797 d1.loss_iou: 0.3086 d2.loss_cls: 0.3668 d2.loss_bbox: 0.1726 d2.loss_iou: 0.3010 d3.loss_cls: 0.3599 d3.loss_bbox: 0.1774 d3.loss_iou: 0.3025 d4.loss_cls: 0.3556 d4.loss_bbox: 0.1778 d4.loss_iou: 0.3025 enc_loss_cls: 0.4127 enc_loss_bbox: 0.2055 enc_loss_iou: 0.3401 dn_loss_cls: 0.1229 dn_loss_bbox: 0.2019 dn_loss_iou: 0.2458 d0.dn_loss_cls: 0.2120 d0.dn_loss_bbox: 0.3789 d0.dn_loss_iou: 0.4094 d1.dn_loss_cls: 0.1526 d1.dn_loss_bbox: 0.2457 d1.dn_loss_iou: 0.2852 d2.dn_loss_cls: 0.1326 d2.dn_loss_bbox: 0.2148 d2.dn_loss_iou: 0.2561 d3.dn_loss_cls: 0.1251 d3.dn_loss_bbox: 0.2039 d3.dn_loss_iou: 0.2474 d4.dn_loss_cls: 0.1231 d4.dn_loss_bbox: 0.2019 d4.dn_loss_iou: 0.2459 d1.loss_lmm_region: 0.2052 loss_lmm_image: 0.9055 +2024/11/07 09:46:22 - mmengine - INFO - Iter(train) [ 22100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:35:45 time: 1.0342 data_time: 0.0174 memory: 23245 grad_norm: 21.6832 loss: 9.6287 loss_cls: 0.3002 loss_bbox: 0.1435 loss_iou: 0.2257 d0.loss_cls: 0.3287 d0.loss_bbox: 0.1511 d0.loss_iou: 0.2323 d1.loss_cls: 0.3152 d1.loss_bbox: 0.1427 d1.loss_iou: 0.2269 d2.loss_cls: 0.3104 d2.loss_bbox: 0.1412 d2.loss_iou: 0.2230 d3.loss_cls: 0.3088 d3.loss_bbox: 0.1408 d3.loss_iou: 0.2218 d4.loss_cls: 0.3007 d4.loss_bbox: 0.1423 d4.loss_iou: 0.2251 enc_loss_cls: 0.3485 enc_loss_bbox: 0.1585 enc_loss_iou: 0.2531 dn_loss_cls: 0.1189 dn_loss_bbox: 0.1794 dn_loss_iou: 0.2239 d0.dn_loss_cls: 0.2084 d0.dn_loss_bbox: 0.3217 d0.dn_loss_iou: 0.3723 d1.dn_loss_cls: 0.1565 d1.dn_loss_bbox: 0.2121 d1.dn_loss_iou: 0.2586 d2.dn_loss_cls: 0.1392 d2.dn_loss_bbox: 0.1874 d2.dn_loss_iou: 0.2334 d3.dn_loss_cls: 0.1275 d3.dn_loss_bbox: 0.1801 d3.dn_loss_iou: 0.2252 d4.dn_loss_cls: 0.1206 d4.dn_loss_bbox: 0.1795 d4.dn_loss_iou: 0.2240 d1.loss_lmm_region: 0.2199 loss_lmm_image: 0.8997 +2024/11/07 09:48:05 - mmengine - INFO - Iter(train) [ 22200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:34:03 time: 1.0343 data_time: 0.0173 memory: 23142 grad_norm: nan loss: 10.9437 loss_cls: 0.3287 loss_bbox: 0.1702 loss_iou: 0.3204 d0.loss_cls: 0.3590 d0.loss_bbox: 0.1864 d0.loss_iou: 0.3325 d1.loss_cls: 0.3435 d1.loss_bbox: 0.1752 d1.loss_iou: 0.3235 d2.loss_cls: 0.3403 d2.loss_bbox: 0.1722 d2.loss_iou: 0.3192 d3.loss_cls: 0.3352 d3.loss_bbox: 0.1691 d3.loss_iou: 0.3202 d4.loss_cls: 0.3297 d4.loss_bbox: 0.1693 d4.loss_iou: 0.3182 enc_loss_cls: 0.3765 enc_loss_bbox: 0.1977 enc_loss_iou: 0.3485 dn_loss_cls: 0.1172 dn_loss_bbox: 0.1937 dn_loss_iou: 0.2533 d0.dn_loss_cls: 0.1972 d0.dn_loss_bbox: 0.3535 d0.dn_loss_iou: 0.4121 d1.dn_loss_cls: 0.1437 d1.dn_loss_bbox: 0.2281 d1.dn_loss_iou: 0.2883 d2.dn_loss_cls: 0.1281 d2.dn_loss_bbox: 0.2020 d2.dn_loss_iou: 0.2629 d3.dn_loss_cls: 0.1216 d3.dn_loss_bbox: 0.1951 d3.dn_loss_iou: 0.2546 d4.dn_loss_cls: 0.1178 d4.dn_loss_bbox: 0.1937 d4.dn_loss_iou: 0.2534 d1.loss_lmm_region: 0.1794 loss_lmm_image: 0.9126 +2024/11/07 09:49:49 - mmengine - INFO - Iter(train) [ 22300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:32:28 time: 1.0343 data_time: 0.0173 memory: 23716 grad_norm: 23.1931 loss: 9.9539 loss_cls: 0.3144 loss_bbox: 0.1444 loss_iou: 0.2492 d0.loss_cls: 0.3543 d0.loss_bbox: 0.1485 d0.loss_iou: 0.2617 d1.loss_cls: 0.3288 d1.loss_bbox: 0.1504 d1.loss_iou: 0.2580 d2.loss_cls: 0.3278 d2.loss_bbox: 0.1434 d2.loss_iou: 0.2475 d3.loss_cls: 0.3224 d3.loss_bbox: 0.1436 d3.loss_iou: 0.2480 d4.loss_cls: 0.3149 d4.loss_bbox: 0.1434 d4.loss_iou: 0.2490 enc_loss_cls: 0.3719 enc_loss_bbox: 0.1615 enc_loss_iou: 0.2805 dn_loss_cls: 0.1380 dn_loss_bbox: 0.1744 dn_loss_iou: 0.2189 d0.dn_loss_cls: 0.2235 d0.dn_loss_bbox: 0.3305 d0.dn_loss_iou: 0.3657 d1.dn_loss_cls: 0.1690 d1.dn_loss_bbox: 0.2083 d1.dn_loss_iou: 0.2525 d2.dn_loss_cls: 0.1530 d2.dn_loss_bbox: 0.1821 d2.dn_loss_iou: 0.2272 d3.dn_loss_cls: 0.1461 d3.dn_loss_bbox: 0.1756 d3.dn_loss_iou: 0.2204 d4.dn_loss_cls: 0.1392 d4.dn_loss_bbox: 0.1745 d4.dn_loss_iou: 0.2189 d1.loss_lmm_region: 0.1830 loss_lmm_image: 0.8897 +2024/11/07 09:51:33 - mmengine - INFO - Iter(train) [ 22400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:30:48 time: 1.0296 data_time: 0.0175 memory: 22579 grad_norm: 27.2482 loss: 9.2755 loss_cls: 0.2595 loss_bbox: 0.1337 loss_iou: 0.2193 d0.loss_cls: 0.2898 d0.loss_bbox: 0.1480 d0.loss_iou: 0.2381 d1.loss_cls: 0.2714 d1.loss_bbox: 0.1426 d1.loss_iou: 0.2278 d2.loss_cls: 0.2651 d2.loss_bbox: 0.1362 d2.loss_iou: 0.2220 d3.loss_cls: 0.2614 d3.loss_bbox: 0.1351 d3.loss_iou: 0.2200 d4.loss_cls: 0.2599 d4.loss_bbox: 0.1342 d4.loss_iou: 0.2193 enc_loss_cls: 0.3028 enc_loss_bbox: 0.1578 enc_loss_iou: 0.2585 dn_loss_cls: 0.0953 dn_loss_bbox: 0.1941 dn_loss_iou: 0.2251 d0.dn_loss_cls: 0.1877 d0.dn_loss_bbox: 0.3638 d0.dn_loss_iou: 0.3840 d1.dn_loss_cls: 0.1337 d1.dn_loss_bbox: 0.2337 d1.dn_loss_iou: 0.2613 d2.dn_loss_cls: 0.1145 d2.dn_loss_bbox: 0.2058 d2.dn_loss_iou: 0.2357 d3.dn_loss_cls: 0.1040 d3.dn_loss_bbox: 0.1952 d3.dn_loss_iou: 0.2267 d4.dn_loss_cls: 0.0965 d4.dn_loss_bbox: 0.1941 d4.dn_loss_iou: 0.2250 d1.loss_lmm_region: 0.1842 loss_lmm_image: 0.9125 +2024/11/07 09:53:16 - mmengine - INFO - Iter(train) [ 22500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:29:08 time: 1.0272 data_time: 0.0173 memory: 23372 grad_norm: 22.6374 loss: 8.7199 loss_cls: 0.2441 loss_bbox: 0.1237 loss_iou: 0.2024 d0.loss_cls: 0.2737 d0.loss_bbox: 0.1320 d0.loss_iou: 0.2155 d1.loss_cls: 0.2580 d1.loss_bbox: 0.1262 d1.loss_iou: 0.2059 d2.loss_cls: 0.2522 d2.loss_bbox: 0.1211 d2.loss_iou: 0.2008 d3.loss_cls: 0.2489 d3.loss_bbox: 0.1224 d3.loss_iou: 0.2005 d4.loss_cls: 0.2447 d4.loss_bbox: 0.1238 d4.loss_iou: 0.2021 enc_loss_cls: 0.2897 enc_loss_bbox: 0.1490 enc_loss_iou: 0.2371 dn_loss_cls: 0.0901 dn_loss_bbox: 0.1866 dn_loss_iou: 0.2148 d0.dn_loss_cls: 0.1723 d0.dn_loss_bbox: 0.3710 d0.dn_loss_iou: 0.3823 d1.dn_loss_cls: 0.1184 d1.dn_loss_bbox: 0.2307 d1.dn_loss_iou: 0.2547 d2.dn_loss_cls: 0.1003 d2.dn_loss_bbox: 0.1980 d2.dn_loss_iou: 0.2250 d3.dn_loss_cls: 0.0913 d3.dn_loss_bbox: 0.1887 d3.dn_loss_iou: 0.2167 d4.dn_loss_cls: 0.0902 d4.dn_loss_bbox: 0.1866 d4.dn_loss_iou: 0.2149 d1.loss_lmm_region: 0.1453 loss_lmm_image: 0.8681 +2024/11/07 09:54:59 - mmengine - INFO - Iter(train) [ 22600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:27:25 time: 1.0403 data_time: 0.0173 memory: 23335 grad_norm: 23.7040 loss: 9.1627 loss_cls: 0.2769 loss_bbox: 0.1262 loss_iou: 0.2432 d0.loss_cls: 0.3186 d0.loss_bbox: 0.1328 d0.loss_iou: 0.2483 d1.loss_cls: 0.2985 d1.loss_bbox: 0.1258 d1.loss_iou: 0.2435 d2.loss_cls: 0.2858 d2.loss_bbox: 0.1262 d2.loss_iou: 0.2448 d3.loss_cls: 0.2808 d3.loss_bbox: 0.1241 d3.loss_iou: 0.2434 d4.loss_cls: 0.2770 d4.loss_bbox: 0.1262 d4.loss_iou: 0.2436 enc_loss_cls: 0.3336 enc_loss_bbox: 0.1544 enc_loss_iou: 0.2779 dn_loss_cls: 0.0837 dn_loss_bbox: 0.1701 dn_loss_iou: 0.2124 d0.dn_loss_cls: 0.1744 d0.dn_loss_bbox: 0.3622 d0.dn_loss_iou: 0.3834 d1.dn_loss_cls: 0.1153 d1.dn_loss_bbox: 0.2192 d1.dn_loss_iou: 0.2549 d2.dn_loss_cls: 0.0985 d2.dn_loss_bbox: 0.1821 d2.dn_loss_iou: 0.2229 d3.dn_loss_cls: 0.0875 d3.dn_loss_bbox: 0.1725 d3.dn_loss_iou: 0.2142 d4.dn_loss_cls: 0.0836 d4.dn_loss_bbox: 0.1701 d4.dn_loss_iou: 0.2124 d1.loss_lmm_region: 0.1676 loss_lmm_image: 0.8439 +2024/11/07 09:56:42 - mmengine - INFO - Iter(train) [ 22700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:25:40 time: 1.0282 data_time: 0.0173 memory: 24300 grad_norm: 24.8906 loss: 10.2727 loss_cls: 0.3396 loss_bbox: 0.1483 loss_iou: 0.2921 d0.loss_cls: 0.3758 d0.loss_bbox: 0.1681 d0.loss_iou: 0.3169 d1.loss_cls: 0.3652 d1.loss_bbox: 0.1526 d1.loss_iou: 0.2996 d2.loss_cls: 0.3519 d2.loss_bbox: 0.1497 d2.loss_iou: 0.2950 d3.loss_cls: 0.3433 d3.loss_bbox: 0.1500 d3.loss_iou: 0.2957 d4.loss_cls: 0.3397 d4.loss_bbox: 0.1489 d4.loss_iou: 0.2935 enc_loss_cls: 0.3940 enc_loss_bbox: 0.1804 enc_loss_iou: 0.3354 dn_loss_cls: 0.0994 dn_loss_bbox: 0.1747 dn_loss_iou: 0.2209 d0.dn_loss_cls: 0.1772 d0.dn_loss_bbox: 0.3170 d0.dn_loss_iou: 0.3631 d1.dn_loss_cls: 0.1274 d1.dn_loss_bbox: 0.2041 d1.dn_loss_iou: 0.2521 d2.dn_loss_cls: 0.1130 d2.dn_loss_bbox: 0.1809 d2.dn_loss_iou: 0.2294 d3.dn_loss_cls: 0.1056 d3.dn_loss_bbox: 0.1753 d3.dn_loss_iou: 0.2223 d4.dn_loss_cls: 0.0999 d4.dn_loss_bbox: 0.1747 d4.dn_loss_iou: 0.2209 d1.loss_lmm_region: 0.1802 loss_lmm_image: 0.8990 +2024/11/07 09:58:25 - mmengine - INFO - Iter(train) [ 22800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:23:59 time: 1.0258 data_time: 0.0172 memory: 23979 grad_norm: 23.5811 loss: 9.5599 loss_cls: 0.2943 loss_bbox: 0.1407 loss_iou: 0.2661 d0.loss_cls: 0.3230 d0.loss_bbox: 0.1614 d0.loss_iou: 0.2859 d1.loss_cls: 0.3130 d1.loss_bbox: 0.1427 d1.loss_iou: 0.2692 d2.loss_cls: 0.3032 d2.loss_bbox: 0.1393 d2.loss_iou: 0.2659 d3.loss_cls: 0.2979 d3.loss_bbox: 0.1389 d3.loss_iou: 0.2641 d4.loss_cls: 0.2945 d4.loss_bbox: 0.1413 d4.loss_iou: 0.2656 enc_loss_cls: 0.3407 enc_loss_bbox: 0.1697 enc_loss_iou: 0.3072 dn_loss_cls: 0.0915 dn_loss_bbox: 0.1639 dn_loss_iou: 0.2160 d0.dn_loss_cls: 0.1782 d0.dn_loss_bbox: 0.3180 d0.dn_loss_iou: 0.3703 d1.dn_loss_cls: 0.1210 d1.dn_loss_bbox: 0.1937 d1.dn_loss_iou: 0.2494 d2.dn_loss_cls: 0.1047 d2.dn_loss_bbox: 0.1721 d2.dn_loss_iou: 0.2239 d3.dn_loss_cls: 0.0969 d3.dn_loss_bbox: 0.1649 d3.dn_loss_iou: 0.2173 d4.dn_loss_cls: 0.0918 d4.dn_loss_bbox: 0.1637 d4.dn_loss_iou: 0.2157 d1.loss_lmm_region: 0.1857 loss_lmm_image: 0.8968 +2024/11/07 10:00:08 - mmengine - INFO - Iter(train) [ 22900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:22:11 time: 1.0228 data_time: 0.0174 memory: 22807 grad_norm: 22.7177 loss: 9.8332 loss_cls: 0.2918 loss_bbox: 0.1441 loss_iou: 0.2515 d0.loss_cls: 0.3270 d0.loss_bbox: 0.1510 d0.loss_iou: 0.2588 d1.loss_cls: 0.3100 d1.loss_bbox: 0.1424 d1.loss_iou: 0.2478 d2.loss_cls: 0.2943 d2.loss_bbox: 0.1463 d2.loss_iou: 0.2527 d3.loss_cls: 0.2957 d3.loss_bbox: 0.1445 d3.loss_iou: 0.2508 d4.loss_cls: 0.2951 d4.loss_bbox: 0.1429 d4.loss_iou: 0.2486 enc_loss_cls: 0.3444 enc_loss_bbox: 0.1601 enc_loss_iou: 0.2794 dn_loss_cls: 0.1203 dn_loss_bbox: 0.1871 dn_loss_iou: 0.2365 d0.dn_loss_cls: 0.2002 d0.dn_loss_bbox: 0.3693 d0.dn_loss_iou: 0.3974 d1.dn_loss_cls: 0.1496 d1.dn_loss_bbox: 0.2248 d1.dn_loss_iou: 0.2708 d2.dn_loss_cls: 0.1352 d2.dn_loss_bbox: 0.1961 d2.dn_loss_iou: 0.2444 d3.dn_loss_cls: 0.1251 d3.dn_loss_bbox: 0.1884 d3.dn_loss_iou: 0.2373 d4.dn_loss_cls: 0.1205 d4.dn_loss_bbox: 0.1871 d4.dn_loss_iou: 0.2364 d1.loss_lmm_region: 0.1716 loss_lmm_image: 0.8560 +2024/11/07 10:01:51 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/07 10:01:51 - mmengine - INFO - Iter(train) [ 23000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:20:29 time: 1.0316 data_time: 0.0173 memory: 23508 grad_norm: 23.6333 loss: 9.4732 loss_cls: 0.2892 loss_bbox: 0.1285 loss_iou: 0.2511 d0.loss_cls: 0.3097 d0.loss_bbox: 0.1484 d0.loss_iou: 0.2790 d1.loss_cls: 0.2987 d1.loss_bbox: 0.1429 d1.loss_iou: 0.2668 d2.loss_cls: 0.2977 d2.loss_bbox: 0.1333 d2.loss_iou: 0.2581 d3.loss_cls: 0.2979 d3.loss_bbox: 0.1308 d3.loss_iou: 0.2530 d4.loss_cls: 0.2906 d4.loss_bbox: 0.1290 d4.loss_iou: 0.2515 enc_loss_cls: 0.3257 enc_loss_bbox: 0.1658 enc_loss_iou: 0.3004 dn_loss_cls: 0.0834 dn_loss_bbox: 0.1637 dn_loss_iou: 0.2234 d0.dn_loss_cls: 0.1789 d0.dn_loss_bbox: 0.3363 d0.dn_loss_iou: 0.3903 d1.dn_loss_cls: 0.1249 d1.dn_loss_bbox: 0.2068 d1.dn_loss_iou: 0.2643 d2.dn_loss_cls: 0.1054 d2.dn_loss_bbox: 0.1794 d2.dn_loss_iou: 0.2361 d3.dn_loss_cls: 0.0894 d3.dn_loss_bbox: 0.1661 d3.dn_loss_iou: 0.2254 d4.dn_loss_cls: 0.0842 d4.dn_loss_bbox: 0.1639 d4.dn_loss_iou: 0.2234 d1.loss_lmm_region: 0.1739 loss_lmm_image: 0.9059 +2024/11/07 10:03:35 - mmengine - INFO - Iter(train) [ 23100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:18:50 time: 1.0412 data_time: 0.0172 memory: 24306 grad_norm: 22.3846 loss: 9.7237 loss_cls: 0.2901 loss_bbox: 0.1382 loss_iou: 0.2293 d0.loss_cls: 0.3301 d0.loss_bbox: 0.1474 d0.loss_iou: 0.2428 d1.loss_cls: 0.3117 d1.loss_bbox: 0.1377 d1.loss_iou: 0.2360 d2.loss_cls: 0.3022 d2.loss_bbox: 0.1391 d2.loss_iou: 0.2314 d3.loss_cls: 0.2938 d3.loss_bbox: 0.1373 d3.loss_iou: 0.2290 d4.loss_cls: 0.2917 d4.loss_bbox: 0.1378 d4.loss_iou: 0.2280 enc_loss_cls: 0.3412 enc_loss_bbox: 0.1588 enc_loss_iou: 0.2650 dn_loss_cls: 0.1088 dn_loss_bbox: 0.2017 dn_loss_iou: 0.2299 d0.dn_loss_cls: 0.1932 d0.dn_loss_bbox: 0.3655 d0.dn_loss_iou: 0.3887 d1.dn_loss_cls: 0.1353 d1.dn_loss_bbox: 0.2306 d1.dn_loss_iou: 0.2625 d2.dn_loss_cls: 0.1199 d2.dn_loss_bbox: 0.2067 d2.dn_loss_iou: 0.2382 d3.dn_loss_cls: 0.1112 d3.dn_loss_bbox: 0.2016 d3.dn_loss_iou: 0.2312 d4.dn_loss_cls: 0.1098 d4.dn_loss_bbox: 0.2018 d4.dn_loss_iou: 0.2300 d1.loss_lmm_region: 0.1953 loss_lmm_image: 0.9433 +2024/11/07 10:05:17 - mmengine - INFO - Iter(train) [ 23200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:17:06 time: 1.0212 data_time: 0.0175 memory: 22735 grad_norm: 28.3286 loss: 9.8065 loss_cls: 0.2529 loss_bbox: 0.1554 loss_iou: 0.2557 d0.loss_cls: 0.2880 d0.loss_bbox: 0.1635 d0.loss_iou: 0.2704 d1.loss_cls: 0.2724 d1.loss_bbox: 0.1552 d1.loss_iou: 0.2573 d2.loss_cls: 0.2605 d2.loss_bbox: 0.1553 d2.loss_iou: 0.2555 d3.loss_cls: 0.2571 d3.loss_bbox: 0.1547 d3.loss_iou: 0.2540 d4.loss_cls: 0.2541 d4.loss_bbox: 0.1542 d4.loss_iou: 0.2553 enc_loss_cls: 0.3002 enc_loss_bbox: 0.1781 enc_loss_iou: 0.2852 dn_loss_cls: 0.1070 dn_loss_bbox: 0.2061 dn_loss_iou: 0.2481 d0.dn_loss_cls: 0.1907 d0.dn_loss_bbox: 0.3857 d0.dn_loss_iou: 0.4111 d1.dn_loss_cls: 0.1335 d1.dn_loss_bbox: 0.2488 d1.dn_loss_iou: 0.2853 d2.dn_loss_cls: 0.1205 d2.dn_loss_bbox: 0.2153 d2.dn_loss_iou: 0.2567 d3.dn_loss_cls: 0.1123 d3.dn_loss_bbox: 0.2074 d3.dn_loss_iou: 0.2490 d4.dn_loss_cls: 0.1074 d4.dn_loss_bbox: 0.2062 d4.dn_loss_iou: 0.2481 d1.loss_lmm_region: 0.1810 loss_lmm_image: 0.8512 +2024/11/07 10:07:01 - mmengine - INFO - Iter(train) [ 23300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:15:27 time: 1.0413 data_time: 0.0174 memory: 23127 grad_norm: 25.9618 loss: 9.5708 loss_cls: 0.2987 loss_bbox: 0.1396 loss_iou: 0.2308 d0.loss_cls: 0.3258 d0.loss_bbox: 0.1589 d0.loss_iou: 0.2512 d1.loss_cls: 0.3133 d1.loss_bbox: 0.1477 d1.loss_iou: 0.2375 d2.loss_cls: 0.3088 d2.loss_bbox: 0.1404 d2.loss_iou: 0.2314 d3.loss_cls: 0.3045 d3.loss_bbox: 0.1405 d3.loss_iou: 0.2302 d4.loss_cls: 0.3004 d4.loss_bbox: 0.1400 d4.loss_iou: 0.2295 enc_loss_cls: 0.3408 enc_loss_bbox: 0.1747 enc_loss_iou: 0.2757 dn_loss_cls: 0.1181 dn_loss_bbox: 0.1753 dn_loss_iou: 0.2053 d0.dn_loss_cls: 0.2075 d0.dn_loss_bbox: 0.3607 d0.dn_loss_iou: 0.3677 d1.dn_loss_cls: 0.1535 d1.dn_loss_bbox: 0.2153 d1.dn_loss_iou: 0.2407 d2.dn_loss_cls: 0.1383 d2.dn_loss_bbox: 0.1855 d2.dn_loss_iou: 0.2147 d3.dn_loss_cls: 0.1279 d3.dn_loss_bbox: 0.1766 d3.dn_loss_iou: 0.2066 d4.dn_loss_cls: 0.1191 d4.dn_loss_bbox: 0.1752 d4.dn_loss_iou: 0.2053 d1.loss_lmm_region: 0.1673 loss_lmm_image: 0.8897 +2024/11/07 10:08:44 - mmengine - INFO - Iter(train) [ 23400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:13:43 time: 1.0232 data_time: 0.0173 memory: 23786 grad_norm: 22.6216 loss: 9.5477 loss_cls: 0.3232 loss_bbox: 0.1259 loss_iou: 0.2486 d0.loss_cls: 0.3639 d0.loss_bbox: 0.1367 d0.loss_iou: 0.2686 d1.loss_cls: 0.3440 d1.loss_bbox: 0.1313 d1.loss_iou: 0.2580 d2.loss_cls: 0.3348 d2.loss_bbox: 0.1275 d2.loss_iou: 0.2514 d3.loss_cls: 0.3274 d3.loss_bbox: 0.1254 d3.loss_iou: 0.2491 d4.loss_cls: 0.3255 d4.loss_bbox: 0.1239 d4.loss_iou: 0.2471 enc_loss_cls: 0.3823 enc_loss_bbox: 0.1552 enc_loss_iou: 0.2906 dn_loss_cls: 0.1058 dn_loss_bbox: 0.1470 dn_loss_iou: 0.2048 d0.dn_loss_cls: 0.1912 d0.dn_loss_bbox: 0.3057 d0.dn_loss_iou: 0.3667 d1.dn_loss_cls: 0.1353 d1.dn_loss_bbox: 0.1854 d1.dn_loss_iou: 0.2446 d2.dn_loss_cls: 0.1188 d2.dn_loss_bbox: 0.1575 d2.dn_loss_iou: 0.2154 d3.dn_loss_cls: 0.1096 d3.dn_loss_bbox: 0.1483 d3.dn_loss_iou: 0.2066 d4.dn_loss_cls: 0.1052 d4.dn_loss_bbox: 0.1469 d4.dn_loss_iou: 0.2046 d1.loss_lmm_region: 0.1998 loss_lmm_image: 0.9081 +2024/11/07 10:10:28 - mmengine - INFO - Iter(train) [ 23500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:12:04 time: 1.0361 data_time: 0.0173 memory: 23107 grad_norm: 26.5237 loss: 10.3991 loss_cls: 0.3230 loss_bbox: 0.1582 loss_iou: 0.3159 d0.loss_cls: 0.3594 d0.loss_bbox: 0.1718 d0.loss_iou: 0.3334 d1.loss_cls: 0.3462 d1.loss_bbox: 0.1652 d1.loss_iou: 0.3209 d2.loss_cls: 0.3384 d2.loss_bbox: 0.1565 d2.loss_iou: 0.3122 d3.loss_cls: 0.3303 d3.loss_bbox: 0.1567 d3.loss_iou: 0.3126 d4.loss_cls: 0.3280 d4.loss_bbox: 0.1578 d4.loss_iou: 0.3140 enc_loss_cls: 0.3846 enc_loss_bbox: 0.1842 enc_loss_iou: 0.3509 dn_loss_cls: 0.0958 dn_loss_bbox: 0.1554 dn_loss_iou: 0.2313 d0.dn_loss_cls: 0.1835 d0.dn_loss_bbox: 0.3273 d0.dn_loss_iou: 0.3952 d1.dn_loss_cls: 0.1277 d1.dn_loss_bbox: 0.1970 d1.dn_loss_iou: 0.2699 d2.dn_loss_cls: 0.1116 d2.dn_loss_bbox: 0.1686 d2.dn_loss_iou: 0.2422 d3.dn_loss_cls: 0.1023 d3.dn_loss_bbox: 0.1577 d3.dn_loss_iou: 0.2332 d4.dn_loss_cls: 0.0976 d4.dn_loss_bbox: 0.1554 d4.dn_loss_iou: 0.2312 d1.loss_lmm_region: 0.1993 loss_lmm_image: 0.8966 +2024/11/07 10:12:11 - mmengine - INFO - Iter(train) [ 23600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:10:21 time: 1.0363 data_time: 0.0173 memory: 23607 grad_norm: 24.8589 loss: 10.9103 loss_cls: 0.3655 loss_bbox: 0.1878 loss_iou: 0.3240 d0.loss_cls: 0.4129 d0.loss_bbox: 0.1929 d0.loss_iou: 0.3381 d1.loss_cls: 0.3971 d1.loss_bbox: 0.1802 d1.loss_iou: 0.3230 d2.loss_cls: 0.3868 d2.loss_bbox: 0.1812 d2.loss_iou: 0.3221 d3.loss_cls: 0.3791 d3.loss_bbox: 0.1849 d3.loss_iou: 0.3211 d4.loss_cls: 0.3744 d4.loss_bbox: 0.1846 d4.loss_iou: 0.3199 enc_loss_cls: 0.4291 enc_loss_bbox: 0.2108 enc_loss_iou: 0.3634 dn_loss_cls: 0.1027 dn_loss_bbox: 0.1699 dn_loss_iou: 0.2208 d0.dn_loss_cls: 0.1900 d0.dn_loss_bbox: 0.3252 d0.dn_loss_iou: 0.3736 d1.dn_loss_cls: 0.1360 d1.dn_loss_bbox: 0.2066 d1.dn_loss_iou: 0.2566 d2.dn_loss_cls: 0.1169 d2.dn_loss_bbox: 0.1813 d2.dn_loss_iou: 0.2313 d3.dn_loss_cls: 0.1086 d3.dn_loss_bbox: 0.1717 d3.dn_loss_iou: 0.2228 d4.dn_loss_cls: 0.1027 d4.dn_loss_bbox: 0.1699 d4.dn_loss_iou: 0.2208 d1.loss_lmm_region: 0.1747 loss_lmm_image: 0.8492 +2024/11/07 10:13:54 - mmengine - INFO - Iter(train) [ 23700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:08:41 time: 1.0212 data_time: 0.0173 memory: 24177 grad_norm: 22.6601 loss: 11.0350 loss_cls: 0.3667 loss_bbox: 0.1663 loss_iou: 0.2978 d0.loss_cls: 0.3978 d0.loss_bbox: 0.1794 d0.loss_iou: 0.3184 d1.loss_cls: 0.3811 d1.loss_bbox: 0.1680 d1.loss_iou: 0.3050 d2.loss_cls: 0.3741 d2.loss_bbox: 0.1669 d2.loss_iou: 0.3010 d3.loss_cls: 0.3724 d3.loss_bbox: 0.1630 d3.loss_iou: 0.2961 d4.loss_cls: 0.3709 d4.loss_bbox: 0.1669 d4.loss_iou: 0.2973 enc_loss_cls: 0.4069 enc_loss_bbox: 0.1991 enc_loss_iou: 0.3436 dn_loss_cls: 0.1184 dn_loss_bbox: 0.2165 dn_loss_iou: 0.2484 d0.dn_loss_cls: 0.1903 d0.dn_loss_bbox: 0.3737 d0.dn_loss_iou: 0.3951 d1.dn_loss_cls: 0.1418 d1.dn_loss_bbox: 0.2517 d1.dn_loss_iou: 0.2834 d2.dn_loss_cls: 0.1270 d2.dn_loss_bbox: 0.2226 d2.dn_loss_iou: 0.2559 d3.dn_loss_cls: 0.1210 d3.dn_loss_bbox: 0.2172 d3.dn_loss_iou: 0.2498 d4.dn_loss_cls: 0.1183 d4.dn_loss_bbox: 0.2164 d4.dn_loss_iou: 0.2484 d1.loss_lmm_region: 0.1548 loss_lmm_image: 0.8457 +2024/11/07 10:15:38 - mmengine - INFO - Iter(train) [ 23800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:06:59 time: 1.0313 data_time: 0.0175 memory: 23751 grad_norm: 21.5918 loss: 10.3725 loss_cls: 0.3459 loss_bbox: 0.1492 loss_iou: 0.2599 d0.loss_cls: 0.3824 d0.loss_bbox: 0.1720 d0.loss_iou: 0.2803 d1.loss_cls: 0.3626 d1.loss_bbox: 0.1590 d1.loss_iou: 0.2697 d2.loss_cls: 0.3588 d2.loss_bbox: 0.1524 d2.loss_iou: 0.2622 d3.loss_cls: 0.3543 d3.loss_bbox: 0.1524 d3.loss_iou: 0.2599 d4.loss_cls: 0.3465 d4.loss_bbox: 0.1506 d4.loss_iou: 0.2620 enc_loss_cls: 0.3941 enc_loss_bbox: 0.1855 enc_loss_iou: 0.3058 dn_loss_cls: 0.1239 dn_loss_bbox: 0.1737 dn_loss_iou: 0.2308 d0.dn_loss_cls: 0.2158 d0.dn_loss_bbox: 0.3225 d0.dn_loss_iou: 0.3892 d1.dn_loss_cls: 0.1699 d1.dn_loss_bbox: 0.2052 d1.dn_loss_iou: 0.2668 d2.dn_loss_cls: 0.1506 d2.dn_loss_bbox: 0.1788 d2.dn_loss_iou: 0.2393 d3.dn_loss_cls: 0.1403 d3.dn_loss_bbox: 0.1750 d3.dn_loss_iou: 0.2321 d4.dn_loss_cls: 0.1278 d4.dn_loss_bbox: 0.1736 d4.dn_loss_iou: 0.2306 d1.loss_lmm_region: 0.1697 loss_lmm_image: 0.8917 +2024/11/07 10:17:22 - mmengine - INFO - Iter(train) [ 23900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:05:20 time: 1.0273 data_time: 0.0174 memory: 23903 grad_norm: 23.3379 loss: 9.6792 loss_cls: 0.2973 loss_bbox: 0.1396 loss_iou: 0.2405 d0.loss_cls: 0.3303 d0.loss_bbox: 0.1521 d0.loss_iou: 0.2597 d1.loss_cls: 0.3194 d1.loss_bbox: 0.1397 d1.loss_iou: 0.2443 d2.loss_cls: 0.3072 d2.loss_bbox: 0.1361 d2.loss_iou: 0.2407 d3.loss_cls: 0.2993 d3.loss_bbox: 0.1388 d3.loss_iou: 0.2414 d4.loss_cls: 0.2964 d4.loss_bbox: 0.1398 d4.loss_iou: 0.2412 enc_loss_cls: 0.3460 enc_loss_bbox: 0.1640 enc_loss_iou: 0.2803 dn_loss_cls: 0.1102 dn_loss_bbox: 0.1753 dn_loss_iou: 0.2291 d0.dn_loss_cls: 0.1926 d0.dn_loss_bbox: 0.3392 d0.dn_loss_iou: 0.3864 d1.dn_loss_cls: 0.1411 d1.dn_loss_bbox: 0.2130 d1.dn_loss_iou: 0.2653 d2.dn_loss_cls: 0.1230 d2.dn_loss_bbox: 0.1832 d2.dn_loss_iou: 0.2382 d3.dn_loss_cls: 0.1144 d3.dn_loss_bbox: 0.1762 d3.dn_loss_iou: 0.2310 d4.dn_loss_cls: 0.1119 d4.dn_loss_bbox: 0.1752 d4.dn_loss_iou: 0.2291 d1.loss_lmm_region: 0.1994 loss_lmm_image: 0.8912 +2024/11/07 10:19:05 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/07 10:19:05 - mmengine - INFO - Iter(train) [ 24000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:03:40 time: 1.0498 data_time: 0.0174 memory: 23149 grad_norm: 19.9746 loss: 10.4999 loss_cls: 0.3424 loss_bbox: 0.1478 loss_iou: 0.2981 d0.loss_cls: 0.3861 d0.loss_bbox: 0.1580 d0.loss_iou: 0.3190 d1.loss_cls: 0.3609 d1.loss_bbox: 0.1505 d1.loss_iou: 0.3093 d2.loss_cls: 0.3526 d2.loss_bbox: 0.1471 d2.loss_iou: 0.3016 d3.loss_cls: 0.3459 d3.loss_bbox: 0.1478 d3.loss_iou: 0.2999 d4.loss_cls: 0.3446 d4.loss_bbox: 0.1473 d4.loss_iou: 0.2988 enc_loss_cls: 0.4007 enc_loss_bbox: 0.1675 enc_loss_iou: 0.3335 dn_loss_cls: 0.1043 dn_loss_bbox: 0.1759 dn_loss_iou: 0.2375 d0.dn_loss_cls: 0.1930 d0.dn_loss_bbox: 0.3284 d0.dn_loss_iou: 0.3950 d1.dn_loss_cls: 0.1416 d1.dn_loss_bbox: 0.2053 d1.dn_loss_iou: 0.2709 d2.dn_loss_cls: 0.1242 d2.dn_loss_bbox: 0.1833 d2.dn_loss_iou: 0.2463 d3.dn_loss_cls: 0.1117 d3.dn_loss_bbox: 0.1775 d3.dn_loss_iou: 0.2391 d4.dn_loss_cls: 0.1064 d4.dn_loss_bbox: 0.1760 d4.dn_loss_iou: 0.2375 d1.loss_lmm_region: 0.2024 loss_lmm_image: 0.8843 +2024/11/07 10:20:49 - mmengine - INFO - Iter(train) [ 24100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:01:59 time: 1.0265 data_time: 0.0175 memory: 23254 grad_norm: 22.9808 loss: 9.7095 loss_cls: 0.2775 loss_bbox: 0.1363 loss_iou: 0.2643 d0.loss_cls: 0.3128 d0.loss_bbox: 0.1531 d0.loss_iou: 0.2798 d1.loss_cls: 0.2990 d1.loss_bbox: 0.1431 d1.loss_iou: 0.2705 d2.loss_cls: 0.2912 d2.loss_bbox: 0.1356 d2.loss_iou: 0.2629 d3.loss_cls: 0.2867 d3.loss_bbox: 0.1337 d3.loss_iou: 0.2612 d4.loss_cls: 0.2791 d4.loss_bbox: 0.1364 d4.loss_iou: 0.2643 enc_loss_cls: 0.3251 enc_loss_bbox: 0.1654 enc_loss_iou: 0.2975 dn_loss_cls: 0.1121 dn_loss_bbox: 0.1740 dn_loss_iou: 0.2276 d0.dn_loss_cls: 0.1925 d0.dn_loss_bbox: 0.3480 d0.dn_loss_iou: 0.3854 d1.dn_loss_cls: 0.1386 d1.dn_loss_bbox: 0.2065 d1.dn_loss_iou: 0.2609 d2.dn_loss_cls: 0.1247 d2.dn_loss_bbox: 0.1837 d2.dn_loss_iou: 0.2377 d3.dn_loss_cls: 0.1182 d3.dn_loss_bbox: 0.1758 d3.dn_loss_iou: 0.2292 d4.dn_loss_cls: 0.1132 d4.dn_loss_bbox: 0.1742 d4.dn_loss_iou: 0.2277 d1.loss_lmm_region: 0.1878 loss_lmm_image: 0.9163 +2024/11/07 10:22:32 - mmengine - INFO - Iter(train) [ 24200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:00:19 time: 1.0325 data_time: 0.0176 memory: 23283 grad_norm: 22.3247 loss: 9.4686 loss_cls: 0.2773 loss_bbox: 0.1310 loss_iou: 0.2452 d0.loss_cls: 0.3069 d0.loss_bbox: 0.1481 d0.loss_iou: 0.2641 d1.loss_cls: 0.2940 d1.loss_bbox: 0.1390 d1.loss_iou: 0.2536 d2.loss_cls: 0.2830 d2.loss_bbox: 0.1366 d2.loss_iou: 0.2494 d3.loss_cls: 0.2803 d3.loss_bbox: 0.1345 d3.loss_iou: 0.2463 d4.loss_cls: 0.2796 d4.loss_bbox: 0.1311 d4.loss_iou: 0.2457 enc_loss_cls: 0.3267 enc_loss_bbox: 0.1589 enc_loss_iou: 0.2894 dn_loss_cls: 0.0947 dn_loss_bbox: 0.1789 dn_loss_iou: 0.2293 d0.dn_loss_cls: 0.1786 d0.dn_loss_bbox: 0.3420 d0.dn_loss_iou: 0.3828 d1.dn_loss_cls: 0.1274 d1.dn_loss_bbox: 0.2175 d1.dn_loss_iou: 0.2653 d2.dn_loss_cls: 0.1114 d2.dn_loss_bbox: 0.1889 d2.dn_loss_iou: 0.2384 d3.dn_loss_cls: 0.1002 d3.dn_loss_bbox: 0.1806 d3.dn_loss_iou: 0.2306 d4.dn_loss_cls: 0.0950 d4.dn_loss_bbox: 0.1789 d4.dn_loss_iou: 0.2292 d1.loss_lmm_region: 0.1744 loss_lmm_image: 0.9036 +2024/11/07 10:24:15 - mmengine - INFO - Iter(train) [ 24300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:58:36 time: 1.0363 data_time: 0.0178 memory: 23320 grad_norm: 22.5994 loss: 10.1658 loss_cls: 0.3175 loss_bbox: 0.1499 loss_iou: 0.2710 d0.loss_cls: 0.3335 d0.loss_bbox: 0.1711 d0.loss_iou: 0.2916 d1.loss_cls: 0.3288 d1.loss_bbox: 0.1569 d1.loss_iou: 0.2814 d2.loss_cls: 0.3200 d2.loss_bbox: 0.1555 d2.loss_iou: 0.2753 d3.loss_cls: 0.3210 d3.loss_bbox: 0.1528 d3.loss_iou: 0.2724 d4.loss_cls: 0.3140 d4.loss_bbox: 0.1525 d4.loss_iou: 0.2719 enc_loss_cls: 0.3624 enc_loss_bbox: 0.1773 enc_loss_iou: 0.3118 dn_loss_cls: 0.1163 dn_loss_bbox: 0.1698 dn_loss_iou: 0.2338 d0.dn_loss_cls: 0.2108 d0.dn_loss_bbox: 0.3480 d0.dn_loss_iou: 0.4023 d1.dn_loss_cls: 0.1493 d1.dn_loss_bbox: 0.2101 d1.dn_loss_iou: 0.2730 d2.dn_loss_cls: 0.1299 d2.dn_loss_bbox: 0.1808 d2.dn_loss_iou: 0.2440 d3.dn_loss_cls: 0.1228 d3.dn_loss_bbox: 0.1713 d3.dn_loss_iou: 0.2356 d4.dn_loss_cls: 0.1160 d4.dn_loss_bbox: 0.1699 d4.dn_loss_iou: 0.2339 d1.loss_lmm_region: 0.1726 loss_lmm_image: 0.8866 +2024/11/07 10:25:59 - mmengine - INFO - Iter(train) [ 24400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:56:56 time: 1.0187 data_time: 0.0175 memory: 23600 grad_norm: 22.6400 loss: 10.5150 loss_cls: 0.3528 loss_bbox: 0.1575 loss_iou: 0.3065 d0.loss_cls: 0.3867 d0.loss_bbox: 0.1742 d0.loss_iou: 0.3239 d1.loss_cls: 0.3721 d1.loss_bbox: 0.1662 d1.loss_iou: 0.3108 d2.loss_cls: 0.3615 d2.loss_bbox: 0.1626 d2.loss_iou: 0.3079 d3.loss_cls: 0.3570 d3.loss_bbox: 0.1584 d3.loss_iou: 0.3063 d4.loss_cls: 0.3540 d4.loss_bbox: 0.1576 d4.loss_iou: 0.3069 enc_loss_cls: 0.4055 enc_loss_bbox: 0.1813 enc_loss_iou: 0.3408 dn_loss_cls: 0.0903 dn_loss_bbox: 0.1702 dn_loss_iou: 0.2365 d0.dn_loss_cls: 0.1775 d0.dn_loss_bbox: 0.3335 d0.dn_loss_iou: 0.3953 d1.dn_loss_cls: 0.1211 d1.dn_loss_bbox: 0.2071 d1.dn_loss_iou: 0.2716 d2.dn_loss_cls: 0.1033 d2.dn_loss_bbox: 0.1821 d2.dn_loss_iou: 0.2455 d3.dn_loss_cls: 0.0947 d3.dn_loss_bbox: 0.1707 d3.dn_loss_iou: 0.2373 d4.dn_loss_cls: 0.0920 d4.dn_loss_bbox: 0.1702 d4.dn_loss_iou: 0.2363 d1.loss_lmm_region: 0.1586 loss_lmm_image: 0.8707 +2024/11/07 10:27:42 - mmengine - INFO - Iter(train) [ 24500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:55:15 time: 1.0431 data_time: 0.0174 memory: 24375 grad_norm: 22.3499 loss: 9.3491 loss_cls: 0.2897 loss_bbox: 0.1242 loss_iou: 0.2408 d0.loss_cls: 0.3160 d0.loss_bbox: 0.1408 d0.loss_iou: 0.2638 d1.loss_cls: 0.2980 d1.loss_bbox: 0.1325 d1.loss_iou: 0.2517 d2.loss_cls: 0.2945 d2.loss_bbox: 0.1256 d2.loss_iou: 0.2431 d3.loss_cls: 0.2958 d3.loss_bbox: 0.1227 d3.loss_iou: 0.2393 d4.loss_cls: 0.2894 d4.loss_bbox: 0.1237 d4.loss_iou: 0.2410 enc_loss_cls: 0.3323 enc_loss_bbox: 0.1565 enc_loss_iou: 0.2902 dn_loss_cls: 0.1101 dn_loss_bbox: 0.1675 dn_loss_iou: 0.2207 d0.dn_loss_cls: 0.1804 d0.dn_loss_bbox: 0.3202 d0.dn_loss_iou: 0.3768 d1.dn_loss_cls: 0.1322 d1.dn_loss_bbox: 0.2090 d1.dn_loss_iou: 0.2597 d2.dn_loss_cls: 0.1185 d2.dn_loss_bbox: 0.1797 d2.dn_loss_iou: 0.2313 d3.dn_loss_cls: 0.1126 d3.dn_loss_bbox: 0.1694 d3.dn_loss_iou: 0.2224 d4.dn_loss_cls: 0.1091 d4.dn_loss_bbox: 0.1674 d4.dn_loss_iou: 0.2205 d1.loss_lmm_region: 0.1601 loss_lmm_image: 0.8698 +2024/11/07 10:29:26 - mmengine - INFO - Iter(train) [ 24600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:53:35 time: 1.0245 data_time: 0.0175 memory: 24477 grad_norm: 22.1985 loss: 9.8730 loss_cls: 0.3039 loss_bbox: 0.1555 loss_iou: 0.3006 d0.loss_cls: 0.3480 d0.loss_bbox: 0.1646 d0.loss_iou: 0.3114 d1.loss_cls: 0.3245 d1.loss_bbox: 0.1612 d1.loss_iou: 0.3034 d2.loss_cls: 0.3164 d2.loss_bbox: 0.1569 d2.loss_iou: 0.3011 d3.loss_cls: 0.3087 d3.loss_bbox: 0.1552 d3.loss_iou: 0.2996 d4.loss_cls: 0.3049 d4.loss_bbox: 0.1561 d4.loss_iou: 0.2993 enc_loss_cls: 0.3646 enc_loss_bbox: 0.1843 enc_loss_iou: 0.3376 dn_loss_cls: 0.0896 dn_loss_bbox: 0.1538 dn_loss_iou: 0.2231 d0.dn_loss_cls: 0.1688 d0.dn_loss_bbox: 0.2917 d0.dn_loss_iou: 0.3606 d1.dn_loss_cls: 0.1204 d1.dn_loss_bbox: 0.1858 d1.dn_loss_iou: 0.2534 d2.dn_loss_cls: 0.1053 d2.dn_loss_bbox: 0.1624 d2.dn_loss_iou: 0.2308 d3.dn_loss_cls: 0.0937 d3.dn_loss_bbox: 0.1545 d3.dn_loss_iou: 0.2237 d4.dn_loss_cls: 0.0902 d4.dn_loss_bbox: 0.1538 d4.dn_loss_iou: 0.2230 d1.loss_lmm_region: 0.1559 loss_lmm_image: 0.8745 +2024/11/07 10:31:10 - mmengine - INFO - Iter(train) [ 24700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:51:59 time: 1.0370 data_time: 0.0175 memory: 24629 grad_norm: 22.8032 loss: 10.1997 loss_cls: 0.3046 loss_bbox: 0.1540 loss_iou: 0.2524 d0.loss_cls: 0.3388 d0.loss_bbox: 0.1709 d0.loss_iou: 0.2725 d1.loss_cls: 0.3212 d1.loss_bbox: 0.1611 d1.loss_iou: 0.2629 d2.loss_cls: 0.3170 d2.loss_bbox: 0.1572 d2.loss_iou: 0.2573 d3.loss_cls: 0.3069 d3.loss_bbox: 0.1575 d3.loss_iou: 0.2561 d4.loss_cls: 0.3069 d4.loss_bbox: 0.1546 d4.loss_iou: 0.2532 enc_loss_cls: 0.3579 enc_loss_bbox: 0.1836 enc_loss_iou: 0.2909 dn_loss_cls: 0.1051 dn_loss_bbox: 0.2052 dn_loss_iou: 0.2419 d0.dn_loss_cls: 0.1932 d0.dn_loss_bbox: 0.3677 d0.dn_loss_iou: 0.3985 d1.dn_loss_cls: 0.1400 d1.dn_loss_bbox: 0.2488 d1.dn_loss_iou: 0.2818 d2.dn_loss_cls: 0.1187 d2.dn_loss_bbox: 0.2189 d2.dn_loss_iou: 0.2541 d3.dn_loss_cls: 0.1101 d3.dn_loss_bbox: 0.2075 d3.dn_loss_iou: 0.2441 d4.dn_loss_cls: 0.1070 d4.dn_loss_bbox: 0.2052 d4.dn_loss_iou: 0.2421 d1.loss_lmm_region: 0.1958 loss_lmm_image: 0.8769 +2024/11/07 10:32:53 - mmengine - INFO - Iter(train) [ 24800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:50:15 time: 1.0382 data_time: 0.0175 memory: 23808 grad_norm: 22.9409 loss: 11.3141 loss_cls: 0.3745 loss_bbox: 0.1794 loss_iou: 0.2849 d0.loss_cls: 0.4016 d0.loss_bbox: 0.2003 d0.loss_iou: 0.3055 d1.loss_cls: 0.3827 d1.loss_bbox: 0.1899 d1.loss_iou: 0.2940 d2.loss_cls: 0.3781 d2.loss_bbox: 0.1813 d2.loss_iou: 0.2868 d3.loss_cls: 0.3754 d3.loss_bbox: 0.1822 d3.loss_iou: 0.2866 d4.loss_cls: 0.3732 d4.loss_bbox: 0.1808 d4.loss_iou: 0.2869 enc_loss_cls: 0.4203 enc_loss_bbox: 0.2078 enc_loss_iou: 0.3225 dn_loss_cls: 0.1198 dn_loss_bbox: 0.2174 dn_loss_iou: 0.2541 d0.dn_loss_cls: 0.2137 d0.dn_loss_bbox: 0.3904 d0.dn_loss_iou: 0.4122 d1.dn_loss_cls: 0.1579 d1.dn_loss_bbox: 0.2529 d1.dn_loss_iou: 0.2861 d2.dn_loss_cls: 0.1396 d2.dn_loss_bbox: 0.2262 d2.dn_loss_iou: 0.2614 d3.dn_loss_cls: 0.1275 d3.dn_loss_bbox: 0.2181 d3.dn_loss_iou: 0.2551 d4.dn_loss_cls: 0.1216 d4.dn_loss_bbox: 0.2173 d4.dn_loss_iou: 0.2540 d1.loss_lmm_region: 0.2143 loss_lmm_image: 0.8798 +2024/11/07 10:34:37 - mmengine - INFO - Iter(train) [ 24900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:48:35 time: 1.0434 data_time: 0.0174 memory: 23336 grad_norm: 24.7590 loss: 10.7392 loss_cls: 0.3354 loss_bbox: 0.1685 loss_iou: 0.3263 d0.loss_cls: 0.3767 d0.loss_bbox: 0.1786 d0.loss_iou: 0.3480 d1.loss_cls: 0.3520 d1.loss_bbox: 0.1717 d1.loss_iou: 0.3369 d2.loss_cls: 0.3449 d2.loss_bbox: 0.1694 d2.loss_iou: 0.3321 d3.loss_cls: 0.3397 d3.loss_bbox: 0.1682 d3.loss_iou: 0.3290 d4.loss_cls: 0.3351 d4.loss_bbox: 0.1682 d4.loss_iou: 0.3265 enc_loss_cls: 0.3896 enc_loss_bbox: 0.1953 enc_loss_iou: 0.3761 dn_loss_cls: 0.0938 dn_loss_bbox: 0.1786 dn_loss_iou: 0.2423 d0.dn_loss_cls: 0.1826 d0.dn_loss_bbox: 0.3172 d0.dn_loss_iou: 0.3957 d1.dn_loss_cls: 0.1253 d1.dn_loss_bbox: 0.2039 d1.dn_loss_iou: 0.2768 d2.dn_loss_cls: 0.1085 d2.dn_loss_bbox: 0.1814 d2.dn_loss_iou: 0.2507 d3.dn_loss_cls: 0.0991 d3.dn_loss_bbox: 0.1786 d3.dn_loss_iou: 0.2438 d4.dn_loss_cls: 0.0944 d4.dn_loss_bbox: 0.1785 d4.dn_loss_iou: 0.2423 d1.loss_lmm_region: 0.2016 loss_lmm_image: 0.8759 +2024/11/07 10:36:20 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/07 10:36:20 - mmengine - INFO - Iter(train) [ 25000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:46:54 time: 1.0295 data_time: 0.0177 memory: 25040 grad_norm: 23.1662 loss: 10.2499 loss_cls: 0.3186 loss_bbox: 0.1632 loss_iou: 0.2814 d0.loss_cls: 0.3642 d0.loss_bbox: 0.1771 d0.loss_iou: 0.2989 d1.loss_cls: 0.3361 d1.loss_bbox: 0.1728 d1.loss_iou: 0.2919 d2.loss_cls: 0.3286 d2.loss_bbox: 0.1663 d2.loss_iou: 0.2849 d3.loss_cls: 0.3236 d3.loss_bbox: 0.1649 d3.loss_iou: 0.2835 d4.loss_cls: 0.3205 d4.loss_bbox: 0.1627 d4.loss_iou: 0.2813 enc_loss_cls: 0.3814 enc_loss_bbox: 0.1898 enc_loss_iou: 0.3210 dn_loss_cls: 0.0952 dn_loss_bbox: 0.1723 dn_loss_iou: 0.2321 d0.dn_loss_cls: 0.1926 d0.dn_loss_bbox: 0.3237 d0.dn_loss_iou: 0.3907 d1.dn_loss_cls: 0.1281 d1.dn_loss_bbox: 0.2061 d1.dn_loss_iou: 0.2696 d2.dn_loss_cls: 0.1104 d2.dn_loss_bbox: 0.1792 d2.dn_loss_iou: 0.2423 d3.dn_loss_cls: 0.1006 d3.dn_loss_bbox: 0.1721 d3.dn_loss_iou: 0.2334 d4.dn_loss_cls: 0.0960 d4.dn_loss_bbox: 0.1722 d4.dn_loss_iou: 0.2321 d1.loss_lmm_region: 0.1855 loss_lmm_image: 0.9030 +2024/11/07 10:38:04 - mmengine - INFO - Iter(train) [ 25100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:45:13 time: 1.0195 data_time: 0.0175 memory: 24755 grad_norm: 26.0057 loss: 9.9012 loss_cls: 0.3181 loss_bbox: 0.1487 loss_iou: 0.2739 d0.loss_cls: 0.3502 d0.loss_bbox: 0.1736 d0.loss_iou: 0.2949 d1.loss_cls: 0.3410 d1.loss_bbox: 0.1544 d1.loss_iou: 0.2788 d2.loss_cls: 0.3299 d2.loss_bbox: 0.1465 d2.loss_iou: 0.2715 d3.loss_cls: 0.3225 d3.loss_bbox: 0.1480 d3.loss_iou: 0.2739 d4.loss_cls: 0.3149 d4.loss_bbox: 0.1509 d4.loss_iou: 0.2743 enc_loss_cls: 0.3689 enc_loss_bbox: 0.1839 enc_loss_iou: 0.3171 dn_loss_cls: 0.0769 dn_loss_bbox: 0.1735 dn_loss_iou: 0.2285 d0.dn_loss_cls: 0.1690 d0.dn_loss_bbox: 0.3286 d0.dn_loss_iou: 0.3763 d1.dn_loss_cls: 0.1097 d1.dn_loss_bbox: 0.2054 d1.dn_loss_iou: 0.2604 d2.dn_loss_cls: 0.0917 d2.dn_loss_bbox: 0.1823 d2.dn_loss_iou: 0.2359 d3.dn_loss_cls: 0.0818 d3.dn_loss_bbox: 0.1747 d3.dn_loss_iou: 0.2297 d4.dn_loss_cls: 0.0777 d4.dn_loss_bbox: 0.1737 d4.dn_loss_iou: 0.2286 d1.loss_lmm_region: 0.1705 loss_lmm_image: 0.8903 +2024/11/07 10:39:48 - mmengine - INFO - Iter(train) [ 25200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:43:34 time: 1.0443 data_time: 0.0175 memory: 24146 grad_norm: 23.0867 loss: 9.1322 loss_cls: 0.2794 loss_bbox: 0.1194 loss_iou: 0.2318 d0.loss_cls: 0.3117 d0.loss_bbox: 0.1348 d0.loss_iou: 0.2529 d1.loss_cls: 0.2984 d1.loss_bbox: 0.1221 d1.loss_iou: 0.2394 d2.loss_cls: 0.2832 d2.loss_bbox: 0.1219 d2.loss_iou: 0.2336 d3.loss_cls: 0.2831 d3.loss_bbox: 0.1186 d3.loss_iou: 0.2306 d4.loss_cls: 0.2795 d4.loss_bbox: 0.1207 d4.loss_iou: 0.2328 enc_loss_cls: 0.3255 enc_loss_bbox: 0.1494 enc_loss_iou: 0.2756 dn_loss_cls: 0.0798 dn_loss_bbox: 0.1667 dn_loss_iou: 0.2259 d0.dn_loss_cls: 0.1679 d0.dn_loss_bbox: 0.3299 d0.dn_loss_iou: 0.3859 d1.dn_loss_cls: 0.1075 d1.dn_loss_bbox: 0.2089 d1.dn_loss_iou: 0.2655 d2.dn_loss_cls: 0.0894 d2.dn_loss_bbox: 0.1781 d2.dn_loss_iou: 0.2364 d3.dn_loss_cls: 0.0832 d3.dn_loss_bbox: 0.1674 d3.dn_loss_iou: 0.2276 d4.dn_loss_cls: 0.0797 d4.dn_loss_bbox: 0.1668 d4.dn_loss_iou: 0.2258 d1.loss_lmm_region: 0.1758 loss_lmm_image: 0.9197 +2024/11/07 10:41:30 - mmengine - INFO - Iter(train) [ 25300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:41:50 time: 1.0246 data_time: 0.0175 memory: 23852 grad_norm: 21.5875 loss: 9.9029 loss_cls: 0.3112 loss_bbox: 0.1480 loss_iou: 0.2733 d0.loss_cls: 0.3478 d0.loss_bbox: 0.1593 d0.loss_iou: 0.2923 d1.loss_cls: 0.3202 d1.loss_bbox: 0.1561 d1.loss_iou: 0.2851 d2.loss_cls: 0.3222 d2.loss_bbox: 0.1476 d2.loss_iou: 0.2744 d3.loss_cls: 0.3177 d3.loss_bbox: 0.1453 d3.loss_iou: 0.2724 d4.loss_cls: 0.3120 d4.loss_bbox: 0.1487 d4.loss_iou: 0.2730 enc_loss_cls: 0.3611 enc_loss_bbox: 0.1754 enc_loss_iou: 0.3108 dn_loss_cls: 0.0981 dn_loss_bbox: 0.1667 dn_loss_iou: 0.2373 d0.dn_loss_cls: 0.1786 d0.dn_loss_bbox: 0.3161 d0.dn_loss_iou: 0.3925 d1.dn_loss_cls: 0.1280 d1.dn_loss_bbox: 0.2044 d1.dn_loss_iou: 0.2745 d2.dn_loss_cls: 0.1121 d2.dn_loss_bbox: 0.1761 d2.dn_loss_iou: 0.2471 d3.dn_loss_cls: 0.1024 d3.dn_loss_bbox: 0.1685 d3.dn_loss_iou: 0.2392 d4.dn_loss_cls: 0.0982 d4.dn_loss_bbox: 0.1667 d4.dn_loss_iou: 0.2371 d1.loss_lmm_region: 0.1795 loss_lmm_image: 0.8262 +2024/11/07 10:43:13 - mmengine - INFO - Iter(train) [ 25400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:40:06 time: 1.0256 data_time: 0.0176 memory: 23703 grad_norm: 21.8158 loss: 9.8351 loss_cls: 0.3148 loss_bbox: 0.1343 loss_iou: 0.2632 d0.loss_cls: 0.3488 d0.loss_bbox: 0.1516 d0.loss_iou: 0.2780 d1.loss_cls: 0.3387 d1.loss_bbox: 0.1375 d1.loss_iou: 0.2650 d2.loss_cls: 0.3260 d2.loss_bbox: 0.1352 d2.loss_iou: 0.2648 d3.loss_cls: 0.3222 d3.loss_bbox: 0.1341 d3.loss_iou: 0.2635 d4.loss_cls: 0.3174 d4.loss_bbox: 0.1339 d4.loss_iou: 0.2632 enc_loss_cls: 0.3747 enc_loss_bbox: 0.1569 enc_loss_iou: 0.2920 dn_loss_cls: 0.0982 dn_loss_bbox: 0.1739 dn_loss_iou: 0.2306 d0.dn_loss_cls: 0.1814 d0.dn_loss_bbox: 0.3201 d0.dn_loss_iou: 0.3764 d1.dn_loss_cls: 0.1280 d1.dn_loss_bbox: 0.2036 d1.dn_loss_iou: 0.2607 d2.dn_loss_cls: 0.1130 d2.dn_loss_bbox: 0.1817 d2.dn_loss_iou: 0.2388 d3.dn_loss_cls: 0.1039 d3.dn_loss_bbox: 0.1744 d3.dn_loss_iou: 0.2315 d4.dn_loss_cls: 0.0986 d4.dn_loss_bbox: 0.1737 d4.dn_loss_iou: 0.2306 d1.loss_lmm_region: 0.2010 loss_lmm_image: 0.8991 +2024/11/07 10:44:56 - mmengine - INFO - Iter(train) [ 25500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:38:22 time: 1.0274 data_time: 0.0175 memory: 23335 grad_norm: 23.2890 loss: 9.9601 loss_cls: 0.3087 loss_bbox: 0.1548 loss_iou: 0.2627 d0.loss_cls: 0.3444 d0.loss_bbox: 0.1672 d0.loss_iou: 0.2784 d1.loss_cls: 0.3265 d1.loss_bbox: 0.1588 d1.loss_iou: 0.2711 d2.loss_cls: 0.3176 d2.loss_bbox: 0.1579 d2.loss_iou: 0.2672 d3.loss_cls: 0.3141 d3.loss_bbox: 0.1555 d3.loss_iou: 0.2626 d4.loss_cls: 0.3108 d4.loss_bbox: 0.1534 d4.loss_iou: 0.2628 enc_loss_cls: 0.3661 enc_loss_bbox: 0.1777 enc_loss_iou: 0.3036 dn_loss_cls: 0.0916 dn_loss_bbox: 0.1867 dn_loss_iou: 0.2259 d0.dn_loss_cls: 0.1742 d0.dn_loss_bbox: 0.3520 d0.dn_loss_iou: 0.3820 d1.dn_loss_cls: 0.1243 d1.dn_loss_bbox: 0.2251 d1.dn_loss_iou: 0.2599 d2.dn_loss_cls: 0.1077 d2.dn_loss_bbox: 0.1974 d2.dn_loss_iou: 0.2348 d3.dn_loss_cls: 0.0986 d3.dn_loss_bbox: 0.1881 d3.dn_loss_iou: 0.2272 d4.dn_loss_cls: 0.0925 d4.dn_loss_bbox: 0.1868 d4.dn_loss_iou: 0.2259 d1.loss_lmm_region: 0.1668 loss_lmm_image: 0.8908 +2024/11/07 10:46:40 - mmengine - INFO - Iter(train) [ 25600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:36:42 time: 1.0431 data_time: 0.0176 memory: 23107 grad_norm: 25.5818 loss: 9.2505 loss_cls: 0.2901 loss_bbox: 0.1395 loss_iou: 0.2353 d0.loss_cls: 0.3322 d0.loss_bbox: 0.1439 d0.loss_iou: 0.2456 d1.loss_cls: 0.3117 d1.loss_bbox: 0.1386 d1.loss_iou: 0.2388 d2.loss_cls: 0.3009 d2.loss_bbox: 0.1374 d2.loss_iou: 0.2364 d3.loss_cls: 0.2950 d3.loss_bbox: 0.1399 d3.loss_iou: 0.2344 d4.loss_cls: 0.2936 d4.loss_bbox: 0.1377 d4.loss_iou: 0.2340 enc_loss_cls: 0.3423 enc_loss_bbox: 0.1599 enc_loss_iou: 0.2696 dn_loss_cls: 0.1073 dn_loss_bbox: 0.1620 dn_loss_iou: 0.2011 d0.dn_loss_cls: 0.1829 d0.dn_loss_bbox: 0.3166 d0.dn_loss_iou: 0.3455 d1.dn_loss_cls: 0.1368 d1.dn_loss_bbox: 0.2006 d1.dn_loss_iou: 0.2353 d2.dn_loss_cls: 0.1187 d2.dn_loss_bbox: 0.1722 d2.dn_loss_iou: 0.2100 d3.dn_loss_cls: 0.1096 d3.dn_loss_bbox: 0.1632 d3.dn_loss_iou: 0.2029 d4.dn_loss_cls: 0.1066 d4.dn_loss_bbox: 0.1618 d4.dn_loss_iou: 0.2010 d1.loss_lmm_region: 0.1833 loss_lmm_image: 0.8764 +2024/11/07 10:48:23 - mmengine - INFO - Iter(train) [ 25700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:34:59 time: 1.0325 data_time: 0.0174 memory: 24003 grad_norm: 23.5546 loss: 10.9784 loss_cls: 0.3568 loss_bbox: 0.1674 loss_iou: 0.3472 d0.loss_cls: 0.3899 d0.loss_bbox: 0.1858 d0.loss_iou: 0.3694 d1.loss_cls: 0.3704 d1.loss_bbox: 0.1764 d1.loss_iou: 0.3591 d2.loss_cls: 0.3685 d2.loss_bbox: 0.1673 d2.loss_iou: 0.3473 d3.loss_cls: 0.3670 d3.loss_bbox: 0.1655 d3.loss_iou: 0.3478 d4.loss_cls: 0.3599 d4.loss_bbox: 0.1658 d4.loss_iou: 0.3468 enc_loss_cls: 0.4073 enc_loss_bbox: 0.2076 enc_loss_iou: 0.3943 dn_loss_cls: 0.0841 dn_loss_bbox: 0.1730 dn_loss_iou: 0.2369 d0.dn_loss_cls: 0.1711 d0.dn_loss_bbox: 0.3216 d0.dn_loss_iou: 0.3922 d1.dn_loss_cls: 0.1184 d1.dn_loss_bbox: 0.2118 d1.dn_loss_iou: 0.2763 d2.dn_loss_cls: 0.0986 d2.dn_loss_bbox: 0.1823 d2.dn_loss_iou: 0.2474 d3.dn_loss_cls: 0.0892 d3.dn_loss_bbox: 0.1741 d3.dn_loss_iou: 0.2386 d4.dn_loss_cls: 0.0844 d4.dn_loss_bbox: 0.1730 d4.dn_loss_iou: 0.2370 d1.loss_lmm_region: 0.1798 loss_lmm_image: 0.9211 +2024/11/07 10:50:06 - mmengine - INFO - Iter(train) [ 25800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:33:18 time: 1.0239 data_time: 0.0175 memory: 24272 grad_norm: 21.7726 loss: 9.2297 loss_cls: 0.2896 loss_bbox: 0.1206 loss_iou: 0.2365 d0.loss_cls: 0.3214 d0.loss_bbox: 0.1342 d0.loss_iou: 0.2502 d1.loss_cls: 0.3036 d1.loss_bbox: 0.1259 d1.loss_iou: 0.2441 d2.loss_cls: 0.3003 d2.loss_bbox: 0.1189 d2.loss_iou: 0.2390 d3.loss_cls: 0.2934 d3.loss_bbox: 0.1192 d3.loss_iou: 0.2369 d4.loss_cls: 0.2919 d4.loss_bbox: 0.1194 d4.loss_iou: 0.2367 enc_loss_cls: 0.3264 enc_loss_bbox: 0.1507 enc_loss_iou: 0.2787 dn_loss_cls: 0.1122 dn_loss_bbox: 0.1576 dn_loss_iou: 0.2120 d0.dn_loss_cls: 0.1938 d0.dn_loss_bbox: 0.3181 d0.dn_loss_iou: 0.3631 d1.dn_loss_cls: 0.1437 d1.dn_loss_bbox: 0.1947 d1.dn_loss_iou: 0.2464 d2.dn_loss_cls: 0.1263 d2.dn_loss_bbox: 0.1658 d2.dn_loss_iou: 0.2208 d3.dn_loss_cls: 0.1172 d3.dn_loss_bbox: 0.1595 d3.dn_loss_iou: 0.2139 d4.dn_loss_cls: 0.1136 d4.dn_loss_bbox: 0.1575 d4.dn_loss_iou: 0.2121 d1.loss_lmm_region: 0.1736 loss_lmm_image: 0.8905 +2024/11/07 10:51:50 - mmengine - INFO - Iter(train) [ 25900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:31:36 time: 1.0378 data_time: 0.0173 memory: 23202 grad_norm: 23.2481 loss: 10.0341 loss_cls: 0.2914 loss_bbox: 0.1516 loss_iou: 0.2788 d0.loss_cls: 0.3253 d0.loss_bbox: 0.1671 d0.loss_iou: 0.2964 d1.loss_cls: 0.3099 d1.loss_bbox: 0.1548 d1.loss_iou: 0.2784 d2.loss_cls: 0.3007 d2.loss_bbox: 0.1517 d2.loss_iou: 0.2786 d3.loss_cls: 0.2934 d3.loss_bbox: 0.1513 d3.loss_iou: 0.2793 d4.loss_cls: 0.2911 d4.loss_bbox: 0.1508 d4.loss_iou: 0.2784 enc_loss_cls: 0.3407 enc_loss_bbox: 0.1854 enc_loss_iou: 0.3188 dn_loss_cls: 0.0933 dn_loss_bbox: 0.1788 dn_loss_iou: 0.2467 d0.dn_loss_cls: 0.1951 d0.dn_loss_bbox: 0.3567 d0.dn_loss_iou: 0.4163 d1.dn_loss_cls: 0.1355 d1.dn_loss_bbox: 0.2192 d1.dn_loss_iou: 0.2844 d2.dn_loss_cls: 0.1129 d2.dn_loss_bbox: 0.1885 d2.dn_loss_iou: 0.2565 d3.dn_loss_cls: 0.1008 d3.dn_loss_bbox: 0.1805 d3.dn_loss_iou: 0.2484 d4.dn_loss_cls: 0.0944 d4.dn_loss_bbox: 0.1789 d4.dn_loss_iou: 0.2468 d1.loss_lmm_region: 0.1697 loss_lmm_image: 0.8565 +2024/11/07 10:53:33 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/07 10:53:33 - mmengine - INFO - Iter(train) [ 26000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:29:51 time: 1.0241 data_time: 0.0174 memory: 22496 grad_norm: 22.9979 loss: 10.3214 loss_cls: 0.3022 loss_bbox: 0.1612 loss_iou: 0.2746 d0.loss_cls: 0.3407 d0.loss_bbox: 0.1753 d0.loss_iou: 0.2911 d1.loss_cls: 0.3191 d1.loss_bbox: 0.1659 d1.loss_iou: 0.2795 d2.loss_cls: 0.3131 d2.loss_bbox: 0.1644 d2.loss_iou: 0.2758 d3.loss_cls: 0.3084 d3.loss_bbox: 0.1609 d3.loss_iou: 0.2718 d4.loss_cls: 0.3041 d4.loss_bbox: 0.1605 d4.loss_iou: 0.2731 enc_loss_cls: 0.3549 enc_loss_bbox: 0.1920 enc_loss_iou: 0.3170 dn_loss_cls: 0.0915 dn_loss_bbox: 0.1982 dn_loss_iou: 0.2588 d0.dn_loss_cls: 0.1839 d0.dn_loss_bbox: 0.3700 d0.dn_loss_iou: 0.4272 d1.dn_loss_cls: 0.1215 d1.dn_loss_bbox: 0.2411 d1.dn_loss_iou: 0.3004 d2.dn_loss_cls: 0.1011 d2.dn_loss_bbox: 0.2088 d2.dn_loss_iou: 0.2703 d3.dn_loss_cls: 0.0929 d3.dn_loss_bbox: 0.2000 d3.dn_loss_iou: 0.2604 d4.dn_loss_cls: 0.0908 d4.dn_loss_bbox: 0.1981 d4.dn_loss_iou: 0.2588 d1.loss_lmm_region: 0.1618 loss_lmm_image: 0.8805 +2024/11/07 10:55:15 - mmengine - INFO - Iter(train) [ 26100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:28:07 time: 1.0315 data_time: 0.0173 memory: 22549 grad_norm: 23.5754 loss: 9.5675 loss_cls: 0.2992 loss_bbox: 0.1377 loss_iou: 0.2608 d0.loss_cls: 0.3386 d0.loss_bbox: 0.1542 d0.loss_iou: 0.2759 d1.loss_cls: 0.3219 d1.loss_bbox: 0.1377 d1.loss_iou: 0.2640 d2.loss_cls: 0.3133 d2.loss_bbox: 0.1351 d2.loss_iou: 0.2595 d3.loss_cls: 0.3087 d3.loss_bbox: 0.1360 d3.loss_iou: 0.2598 d4.loss_cls: 0.3015 d4.loss_bbox: 0.1366 d4.loss_iou: 0.2594 enc_loss_cls: 0.3554 enc_loss_bbox: 0.1633 enc_loss_iou: 0.2947 dn_loss_cls: 0.0958 dn_loss_bbox: 0.1545 dn_loss_iou: 0.2210 d0.dn_loss_cls: 0.1868 d0.dn_loss_bbox: 0.3003 d0.dn_loss_iou: 0.3613 d1.dn_loss_cls: 0.1354 d1.dn_loss_bbox: 0.1901 d1.dn_loss_iou: 0.2542 d2.dn_loss_cls: 0.1157 d2.dn_loss_bbox: 0.1637 d2.dn_loss_iou: 0.2295 d3.dn_loss_cls: 0.1039 d3.dn_loss_bbox: 0.1556 d3.dn_loss_iou: 0.2225 d4.dn_loss_cls: 0.0969 d4.dn_loss_bbox: 0.1546 d4.dn_loss_iou: 0.2211 d1.loss_lmm_region: 0.2047 loss_lmm_image: 0.8864 +2024/11/07 10:56:58 - mmengine - INFO - Iter(train) [ 26200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:26:21 time: 1.0195 data_time: 0.0175 memory: 23394 grad_norm: 22.4655 loss: 10.9802 loss_cls: 0.3387 loss_bbox: 0.1756 loss_iou: 0.3106 d0.loss_cls: 0.3700 d0.loss_bbox: 0.1989 d0.loss_iou: 0.3349 d1.loss_cls: 0.3503 d1.loss_bbox: 0.1863 d1.loss_iou: 0.3207 d2.loss_cls: 0.3453 d2.loss_bbox: 0.1795 d2.loss_iou: 0.3137 d3.loss_cls: 0.3422 d3.loss_bbox: 0.1752 d3.loss_iou: 0.3091 d4.loss_cls: 0.3398 d4.loss_bbox: 0.1736 d4.loss_iou: 0.3100 enc_loss_cls: 0.3897 enc_loss_bbox: 0.2107 enc_loss_iou: 0.3520 dn_loss_cls: 0.1049 dn_loss_bbox: 0.1948 dn_loss_iou: 0.2502 d0.dn_loss_cls: 0.1934 d0.dn_loss_bbox: 0.3613 d0.dn_loss_iou: 0.4200 d1.dn_loss_cls: 0.1392 d1.dn_loss_bbox: 0.2358 d1.dn_loss_iou: 0.2903 d2.dn_loss_cls: 0.1212 d2.dn_loss_bbox: 0.2029 d2.dn_loss_iou: 0.2593 d3.dn_loss_cls: 0.1105 d3.dn_loss_bbox: 0.1966 d3.dn_loss_iou: 0.2517 d4.dn_loss_cls: 0.1066 d4.dn_loss_bbox: 0.1948 d4.dn_loss_iou: 0.2502 d1.loss_lmm_region: 0.1882 loss_lmm_image: 0.8814 +2024/11/07 10:58:41 - mmengine - INFO - Iter(train) [ 26300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:24:40 time: 1.0373 data_time: 0.0174 memory: 23704 grad_norm: 23.0868 loss: 9.6538 loss_cls: 0.2877 loss_bbox: 0.1362 loss_iou: 0.2487 d0.loss_cls: 0.3268 d0.loss_bbox: 0.1489 d0.loss_iou: 0.2638 d1.loss_cls: 0.3033 d1.loss_bbox: 0.1419 d1.loss_iou: 0.2562 d2.loss_cls: 0.2988 d2.loss_bbox: 0.1348 d2.loss_iou: 0.2476 d3.loss_cls: 0.2940 d3.loss_bbox: 0.1345 d3.loss_iou: 0.2481 d4.loss_cls: 0.2886 d4.loss_bbox: 0.1361 d4.loss_iou: 0.2491 enc_loss_cls: 0.3434 enc_loss_bbox: 0.1663 enc_loss_iou: 0.2899 dn_loss_cls: 0.1129 dn_loss_bbox: 0.1709 dn_loss_iou: 0.2269 d0.dn_loss_cls: 0.1957 d0.dn_loss_bbox: 0.3498 d0.dn_loss_iou: 0.3961 d1.dn_loss_cls: 0.1443 d1.dn_loss_bbox: 0.2125 d1.dn_loss_iou: 0.2675 d2.dn_loss_cls: 0.1265 d2.dn_loss_bbox: 0.1820 d2.dn_loss_iou: 0.2377 d3.dn_loss_cls: 0.1173 d3.dn_loss_bbox: 0.1723 d3.dn_loss_iou: 0.2290 d4.dn_loss_cls: 0.1115 d4.dn_loss_bbox: 0.1708 d4.dn_loss_iou: 0.2269 d1.loss_lmm_region: 0.1852 loss_lmm_image: 0.8733 +2024/11/07 11:00:23 - mmengine - INFO - Iter(train) [ 26400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:22:52 time: 1.0226 data_time: 0.0176 memory: 23486 grad_norm: 25.9954 loss: 9.5530 loss_cls: 0.2802 loss_bbox: 0.1456 loss_iou: 0.2695 d0.loss_cls: 0.3201 d0.loss_bbox: 0.1592 d0.loss_iou: 0.2805 d1.loss_cls: 0.2979 d1.loss_bbox: 0.1511 d1.loss_iou: 0.2709 d2.loss_cls: 0.2899 d2.loss_bbox: 0.1421 d2.loss_iou: 0.2679 d3.loss_cls: 0.2865 d3.loss_bbox: 0.1442 d3.loss_iou: 0.2670 d4.loss_cls: 0.2797 d4.loss_bbox: 0.1477 d4.loss_iou: 0.2709 enc_loss_cls: 0.3389 enc_loss_bbox: 0.1727 enc_loss_iou: 0.3023 dn_loss_cls: 0.1015 dn_loss_bbox: 0.1586 dn_loss_iou: 0.2197 d0.dn_loss_cls: 0.1847 d0.dn_loss_bbox: 0.3020 d0.dn_loss_iou: 0.3687 d1.dn_loss_cls: 0.1317 d1.dn_loss_bbox: 0.1909 d1.dn_loss_iou: 0.2535 d2.dn_loss_cls: 0.1156 d2.dn_loss_bbox: 0.1663 d2.dn_loss_iou: 0.2279 d3.dn_loss_cls: 0.1089 d3.dn_loss_bbox: 0.1595 d3.dn_loss_iou: 0.2205 d4.dn_loss_cls: 0.1018 d4.dn_loss_bbox: 0.1587 d4.dn_loss_iou: 0.2196 d1.loss_lmm_region: 0.1834 loss_lmm_image: 0.8945 +2024/11/07 11:02:07 - mmengine - INFO - Iter(train) [ 26500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:21:12 time: 1.0248 data_time: 0.0174 memory: 24220 grad_norm: 20.5499 loss: 10.0631 loss_cls: 0.3264 loss_bbox: 0.1434 loss_iou: 0.2849 d0.loss_cls: 0.3633 d0.loss_bbox: 0.1593 d0.loss_iou: 0.3055 d1.loss_cls: 0.3432 d1.loss_bbox: 0.1478 d1.loss_iou: 0.2954 d2.loss_cls: 0.3312 d2.loss_bbox: 0.1444 d2.loss_iou: 0.2913 d3.loss_cls: 0.3275 d3.loss_bbox: 0.1486 d3.loss_iou: 0.2864 d4.loss_cls: 0.3253 d4.loss_bbox: 0.1474 d4.loss_iou: 0.2866 enc_loss_cls: 0.3734 enc_loss_bbox: 0.1765 enc_loss_iou: 0.3303 dn_loss_cls: 0.0985 dn_loss_bbox: 0.1584 dn_loss_iou: 0.2322 d0.dn_loss_cls: 0.1782 d0.dn_loss_bbox: 0.3135 d0.dn_loss_iou: 0.3817 d1.dn_loss_cls: 0.1272 d1.dn_loss_bbox: 0.1945 d1.dn_loss_iou: 0.2679 d2.dn_loss_cls: 0.1096 d2.dn_loss_bbox: 0.1668 d2.dn_loss_iou: 0.2409 d3.dn_loss_cls: 0.1027 d3.dn_loss_bbox: 0.1599 d3.dn_loss_iou: 0.2332 d4.dn_loss_cls: 0.0988 d4.dn_loss_bbox: 0.1584 d4.dn_loss_iou: 0.2321 d1.loss_lmm_region: 0.1951 loss_lmm_image: 0.8754 +2024/11/07 11:03:50 - mmengine - INFO - Iter(train) [ 26600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:19:28 time: 1.0195 data_time: 0.0176 memory: 22895 grad_norm: 24.2620 loss: 9.4880 loss_cls: 0.2916 loss_bbox: 0.1382 loss_iou: 0.2413 d0.loss_cls: 0.3173 d0.loss_bbox: 0.1556 d0.loss_iou: 0.2619 d1.loss_cls: 0.3056 d1.loss_bbox: 0.1469 d1.loss_iou: 0.2510 d2.loss_cls: 0.2995 d2.loss_bbox: 0.1444 d2.loss_iou: 0.2448 d3.loss_cls: 0.2942 d3.loss_bbox: 0.1421 d3.loss_iou: 0.2415 d4.loss_cls: 0.2896 d4.loss_bbox: 0.1395 d4.loss_iou: 0.2424 enc_loss_cls: 0.3341 enc_loss_bbox: 0.1664 enc_loss_iou: 0.2820 dn_loss_cls: 0.0914 dn_loss_bbox: 0.1789 dn_loss_iou: 0.2343 d0.dn_loss_cls: 0.1817 d0.dn_loss_bbox: 0.3243 d0.dn_loss_iou: 0.3910 d1.dn_loss_cls: 0.1257 d1.dn_loss_bbox: 0.2114 d1.dn_loss_iou: 0.2697 d2.dn_loss_cls: 0.1075 d2.dn_loss_bbox: 0.1877 d2.dn_loss_iou: 0.2436 d3.dn_loss_cls: 0.0976 d3.dn_loss_bbox: 0.1802 d3.dn_loss_iou: 0.2360 d4.dn_loss_cls: 0.0923 d4.dn_loss_bbox: 0.1788 d4.dn_loss_iou: 0.2343 d1.loss_lmm_region: 0.1748 loss_lmm_image: 0.8170 +2024/11/07 11:05:34 - mmengine - INFO - Iter(train) [ 26700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:17:50 time: 1.0305 data_time: 0.0174 memory: 23390 grad_norm: 21.7098 loss: 9.0105 loss_cls: 0.2580 loss_bbox: 0.1205 loss_iou: 0.2160 d0.loss_cls: 0.2867 d0.loss_bbox: 0.1368 d0.loss_iou: 0.2292 d1.loss_cls: 0.2697 d1.loss_bbox: 0.1281 d1.loss_iou: 0.2224 d2.loss_cls: 0.2645 d2.loss_bbox: 0.1243 d2.loss_iou: 0.2163 d3.loss_cls: 0.2629 d3.loss_bbox: 0.1201 d3.loss_iou: 0.2149 d4.loss_cls: 0.2605 d4.loss_bbox: 0.1195 d4.loss_iou: 0.2154 enc_loss_cls: 0.2981 enc_loss_bbox: 0.1516 enc_loss_iou: 0.2543 dn_loss_cls: 0.1241 dn_loss_bbox: 0.1697 dn_loss_iou: 0.2130 d0.dn_loss_cls: 0.1957 d0.dn_loss_bbox: 0.3426 d0.dn_loss_iou: 0.3756 d1.dn_loss_cls: 0.1500 d1.dn_loss_bbox: 0.2063 d1.dn_loss_iou: 0.2485 d2.dn_loss_cls: 0.1384 d2.dn_loss_bbox: 0.1773 d2.dn_loss_iou: 0.2221 d3.dn_loss_cls: 0.1302 d3.dn_loss_bbox: 0.1711 d3.dn_loss_iou: 0.2146 d4.dn_loss_cls: 0.1253 d4.dn_loss_bbox: 0.1697 d4.dn_loss_iou: 0.2130 d1.loss_lmm_region: 0.1567 loss_lmm_image: 0.8970 +2024/11/07 11:07:18 - mmengine - INFO - Iter(train) [ 26800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:16:11 time: 1.0437 data_time: 0.0174 memory: 23516 grad_norm: 24.4306 loss: 10.1833 loss_cls: 0.3302 loss_bbox: 0.1507 loss_iou: 0.2735 d0.loss_cls: 0.3717 d0.loss_bbox: 0.1659 d0.loss_iou: 0.2999 d1.loss_cls: 0.3513 d1.loss_bbox: 0.1585 d1.loss_iou: 0.2874 d2.loss_cls: 0.3379 d2.loss_bbox: 0.1543 d2.loss_iou: 0.2817 d3.loss_cls: 0.3338 d3.loss_bbox: 0.1493 d3.loss_iou: 0.2756 d4.loss_cls: 0.3326 d4.loss_bbox: 0.1494 d4.loss_iou: 0.2725 enc_loss_cls: 0.3893 enc_loss_bbox: 0.1789 enc_loss_iou: 0.3201 dn_loss_cls: 0.1043 dn_loss_bbox: 0.1723 dn_loss_iou: 0.2318 d0.dn_loss_cls: 0.1898 d0.dn_loss_bbox: 0.3252 d0.dn_loss_iou: 0.3966 d1.dn_loss_cls: 0.1350 d1.dn_loss_bbox: 0.2092 d1.dn_loss_iou: 0.2693 d2.dn_loss_cls: 0.1192 d2.dn_loss_bbox: 0.1807 d2.dn_loss_iou: 0.2408 d3.dn_loss_cls: 0.1079 d3.dn_loss_bbox: 0.1727 d3.dn_loss_iou: 0.2329 d4.dn_loss_cls: 0.1043 d4.dn_loss_bbox: 0.1724 d4.dn_loss_iou: 0.2318 d1.loss_lmm_region: 0.1770 loss_lmm_image: 0.8457 +2024/11/07 11:09:01 - mmengine - INFO - Iter(train) [ 26900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:14:27 time: 1.0248 data_time: 0.0177 memory: 23352 grad_norm: 20.9402 loss: 9.7390 loss_cls: 0.2841 loss_bbox: 0.1402 loss_iou: 0.2423 d0.loss_cls: 0.3114 d0.loss_bbox: 0.1554 d0.loss_iou: 0.2581 d1.loss_cls: 0.2979 d1.loss_bbox: 0.1401 d1.loss_iou: 0.2420 d2.loss_cls: 0.2955 d2.loss_bbox: 0.1368 d2.loss_iou: 0.2404 d3.loss_cls: 0.2906 d3.loss_bbox: 0.1401 d3.loss_iou: 0.2424 d4.loss_cls: 0.2874 d4.loss_bbox: 0.1399 d4.loss_iou: 0.2421 enc_loss_cls: 0.3328 enc_loss_bbox: 0.1627 enc_loss_iou: 0.2722 dn_loss_cls: 0.1022 dn_loss_bbox: 0.1825 dn_loss_iou: 0.2386 d0.dn_loss_cls: 0.2009 d0.dn_loss_bbox: 0.3646 d0.dn_loss_iou: 0.3967 d1.dn_loss_cls: 0.1406 d1.dn_loss_bbox: 0.2232 d1.dn_loss_iou: 0.2751 d2.dn_loss_cls: 0.1234 d2.dn_loss_bbox: 0.1890 d2.dn_loss_iou: 0.2465 d3.dn_loss_cls: 0.1119 d3.dn_loss_bbox: 0.1828 d3.dn_loss_iou: 0.2393 d4.dn_loss_cls: 0.1040 d4.dn_loss_bbox: 0.1828 d4.dn_loss_iou: 0.2386 d1.loss_lmm_region: 0.2286 loss_lmm_image: 0.9132 +2024/11/07 11:10:43 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/07 11:10:43 - mmengine - INFO - Iter(train) [ 27000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:12:41 time: 1.0290 data_time: 0.0175 memory: 23890 grad_norm: 20.8005 loss: 10.5992 loss_cls: 0.3787 loss_bbox: 0.1506 loss_iou: 0.2719 d0.loss_cls: 0.4218 d0.loss_bbox: 0.1681 d0.loss_iou: 0.2939 d1.loss_cls: 0.4021 d1.loss_bbox: 0.1527 d1.loss_iou: 0.2747 d2.loss_cls: 0.3923 d2.loss_bbox: 0.1544 d2.loss_iou: 0.2750 d3.loss_cls: 0.3839 d3.loss_bbox: 0.1508 d3.loss_iou: 0.2717 d4.loss_cls: 0.3764 d4.loss_bbox: 0.1529 d4.loss_iou: 0.2739 enc_loss_cls: 0.4334 enc_loss_bbox: 0.1933 enc_loss_iou: 0.3216 dn_loss_cls: 0.1238 dn_loss_bbox: 0.1717 dn_loss_iou: 0.2219 d0.dn_loss_cls: 0.2110 d0.dn_loss_bbox: 0.3364 d0.dn_loss_iou: 0.3845 d1.dn_loss_cls: 0.1525 d1.dn_loss_bbox: 0.2112 d1.dn_loss_iou: 0.2603 d2.dn_loss_cls: 0.1335 d2.dn_loss_bbox: 0.1824 d2.dn_loss_iou: 0.2329 d3.dn_loss_cls: 0.1285 d3.dn_loss_bbox: 0.1739 d3.dn_loss_iou: 0.2237 d4.dn_loss_cls: 0.1227 d4.dn_loss_bbox: 0.1717 d4.dn_loss_iou: 0.2220 d1.loss_lmm_region: 0.1774 loss_lmm_image: 0.8631 +2024/11/07 11:12:27 - mmengine - INFO - Iter(train) [ 27100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:11:00 time: 1.0327 data_time: 0.0176 memory: 25591 grad_norm: 23.1615 loss: 10.2242 loss_cls: 0.3008 loss_bbox: 0.1551 loss_iou: 0.2803 d0.loss_cls: 0.3328 d0.loss_bbox: 0.1735 d0.loss_iou: 0.3015 d1.loss_cls: 0.3175 d1.loss_bbox: 0.1602 d1.loss_iou: 0.2905 d2.loss_cls: 0.3096 d2.loss_bbox: 0.1581 d2.loss_iou: 0.2813 d3.loss_cls: 0.3022 d3.loss_bbox: 0.1551 d3.loss_iou: 0.2820 d4.loss_cls: 0.3044 d4.loss_bbox: 0.1552 d4.loss_iou: 0.2807 enc_loss_cls: 0.3542 enc_loss_bbox: 0.1901 enc_loss_iou: 0.3257 dn_loss_cls: 0.0934 dn_loss_bbox: 0.1906 dn_loss_iou: 0.2535 d0.dn_loss_cls: 0.1867 d0.dn_loss_bbox: 0.3487 d0.dn_loss_iou: 0.4130 d1.dn_loss_cls: 0.1246 d1.dn_loss_bbox: 0.2203 d1.dn_loss_iou: 0.2879 d2.dn_loss_cls: 0.1076 d2.dn_loss_bbox: 0.1977 d2.dn_loss_iou: 0.2618 d3.dn_loss_cls: 0.0993 d3.dn_loss_bbox: 0.1929 d3.dn_loss_iou: 0.2556 d4.dn_loss_cls: 0.0950 d4.dn_loss_bbox: 0.1906 d4.dn_loss_iou: 0.2535 d1.loss_lmm_region: 0.1917 loss_lmm_image: 0.8489 +2024/11/07 11:14:11 - mmengine - INFO - Iter(train) [ 27200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:09:23 time: 1.0357 data_time: 0.0177 memory: 23914 grad_norm: 23.6784 loss: 10.1662 loss_cls: 0.3723 loss_bbox: 0.1184 loss_iou: 0.2543 d0.loss_cls: 0.4181 d0.loss_bbox: 0.1341 d0.loss_iou: 0.2719 d1.loss_cls: 0.3904 d1.loss_bbox: 0.1265 d1.loss_iou: 0.2635 d2.loss_cls: 0.3810 d2.loss_bbox: 0.1242 d2.loss_iou: 0.2608 d3.loss_cls: 0.3789 d3.loss_bbox: 0.1197 d3.loss_iou: 0.2551 d4.loss_cls: 0.3750 d4.loss_bbox: 0.1196 d4.loss_iou: 0.2525 enc_loss_cls: 0.4405 enc_loss_bbox: 0.1478 enc_loss_iou: 0.2901 dn_loss_cls: 0.1345 dn_loss_bbox: 0.1629 dn_loss_iou: 0.2159 d0.dn_loss_cls: 0.2111 d0.dn_loss_bbox: 0.3205 d0.dn_loss_iou: 0.3719 d1.dn_loss_cls: 0.1523 d1.dn_loss_bbox: 0.2008 d1.dn_loss_iou: 0.2537 d2.dn_loss_cls: 0.1403 d2.dn_loss_bbox: 0.1743 d2.dn_loss_iou: 0.2261 d3.dn_loss_cls: 0.1350 d3.dn_loss_bbox: 0.1650 d3.dn_loss_iou: 0.2180 d4.dn_loss_cls: 0.1362 d4.dn_loss_bbox: 0.1628 d4.dn_loss_iou: 0.2156 d1.loss_lmm_region: 0.1971 loss_lmm_image: 0.8774 +2024/11/07 11:15:55 - mmengine - INFO - Iter(train) [ 27300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:07:43 time: 1.0359 data_time: 0.0174 memory: 23660 grad_norm: 21.5188 loss: 9.8252 loss_cls: 0.2655 loss_bbox: 0.1564 loss_iou: 0.2799 d0.loss_cls: 0.2951 d0.loss_bbox: 0.1729 d0.loss_iou: 0.2978 d1.loss_cls: 0.2805 d1.loss_bbox: 0.1640 d1.loss_iou: 0.2865 d2.loss_cls: 0.2751 d2.loss_bbox: 0.1565 d2.loss_iou: 0.2791 d3.loss_cls: 0.2700 d3.loss_bbox: 0.1563 d3.loss_iou: 0.2797 d4.loss_cls: 0.2640 d4.loss_bbox: 0.1595 d4.loss_iou: 0.2825 enc_loss_cls: 0.3123 enc_loss_bbox: 0.1823 enc_loss_iou: 0.3133 dn_loss_cls: 0.0726 dn_loss_bbox: 0.1943 dn_loss_iou: 0.2453 d0.dn_loss_cls: 0.1634 d0.dn_loss_bbox: 0.3591 d0.dn_loss_iou: 0.3904 d1.dn_loss_cls: 0.1061 d1.dn_loss_bbox: 0.2281 d1.dn_loss_iou: 0.2748 d2.dn_loss_cls: 0.0880 d2.dn_loss_bbox: 0.2025 d2.dn_loss_iou: 0.2525 d3.dn_loss_cls: 0.0774 d3.dn_loss_bbox: 0.1956 d3.dn_loss_iou: 0.2464 d4.dn_loss_cls: 0.0726 d4.dn_loss_bbox: 0.1944 d4.dn_loss_iou: 0.2453 d1.loss_lmm_region: 0.1732 loss_lmm_image: 0.9138 +2024/11/07 11:17:38 - mmengine - INFO - Iter(train) [ 27400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:06:02 time: 1.0377 data_time: 0.0175 memory: 24199 grad_norm: 26.0558 loss: 10.6884 loss_cls: 0.3590 loss_bbox: 0.1594 loss_iou: 0.3142 d0.loss_cls: 0.3988 d0.loss_bbox: 0.1733 d0.loss_iou: 0.3312 d1.loss_cls: 0.3809 d1.loss_bbox: 0.1600 d1.loss_iou: 0.3132 d2.loss_cls: 0.3726 d2.loss_bbox: 0.1599 d2.loss_iou: 0.3156 d3.loss_cls: 0.3676 d3.loss_bbox: 0.1591 d3.loss_iou: 0.3141 d4.loss_cls: 0.3601 d4.loss_bbox: 0.1583 d4.loss_iou: 0.3138 enc_loss_cls: 0.4092 enc_loss_bbox: 0.1931 enc_loss_iou: 0.3636 dn_loss_cls: 0.0903 dn_loss_bbox: 0.1761 dn_loss_iou: 0.2311 d0.dn_loss_cls: 0.1818 d0.dn_loss_bbox: 0.3222 d0.dn_loss_iou: 0.3822 d1.dn_loss_cls: 0.1247 d1.dn_loss_bbox: 0.2130 d1.dn_loss_iou: 0.2655 d2.dn_loss_cls: 0.1072 d2.dn_loss_bbox: 0.1872 d2.dn_loss_iou: 0.2398 d3.dn_loss_cls: 0.0964 d3.dn_loss_bbox: 0.1777 d3.dn_loss_iou: 0.2330 d4.dn_loss_cls: 0.0922 d4.dn_loss_bbox: 0.1762 d4.dn_loss_iou: 0.2311 d1.loss_lmm_region: 0.1961 loss_lmm_image: 0.8875 +2024/11/07 11:19:21 - mmengine - INFO - Iter(train) [ 27500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:04:18 time: 1.0306 data_time: 0.0173 memory: 23552 grad_norm: 26.1089 loss: 10.0656 loss_cls: 0.3576 loss_bbox: 0.1488 loss_iou: 0.2830 d0.loss_cls: 0.3963 d0.loss_bbox: 0.1677 d0.loss_iou: 0.3047 d1.loss_cls: 0.3803 d1.loss_bbox: 0.1544 d1.loss_iou: 0.2908 d2.loss_cls: 0.3703 d2.loss_bbox: 0.1468 d2.loss_iou: 0.2812 d3.loss_cls: 0.3617 d3.loss_bbox: 0.1492 d3.loss_iou: 0.2823 d4.loss_cls: 0.3548 d4.loss_bbox: 0.1524 d4.loss_iou: 0.2839 enc_loss_cls: 0.4069 enc_loss_bbox: 0.1865 enc_loss_iou: 0.3340 dn_loss_cls: 0.0963 dn_loss_bbox: 0.1455 dn_loss_iou: 0.2164 d0.dn_loss_cls: 0.1712 d0.dn_loss_bbox: 0.2848 d0.dn_loss_iou: 0.3614 d1.dn_loss_cls: 0.1241 d1.dn_loss_bbox: 0.1766 d1.dn_loss_iou: 0.2484 d2.dn_loss_cls: 0.1089 d2.dn_loss_bbox: 0.1528 d2.dn_loss_iou: 0.2233 d3.dn_loss_cls: 0.1018 d3.dn_loss_bbox: 0.1461 d3.dn_loss_iou: 0.2173 d4.dn_loss_cls: 0.0971 d4.dn_loss_bbox: 0.1456 d4.dn_loss_iou: 0.2164 d1.loss_lmm_region: 0.1543 loss_lmm_image: 0.8839 +2024/11/07 11:21:05 - mmengine - INFO - Iter(train) [ 27600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:02:36 time: 1.0385 data_time: 0.0174 memory: 23537 grad_norm: 22.1485 loss: 10.1362 loss_cls: 0.3027 loss_bbox: 0.1515 loss_iou: 0.2949 d0.loss_cls: 0.3413 d0.loss_bbox: 0.1630 d0.loss_iou: 0.3069 d1.loss_cls: 0.3217 d1.loss_bbox: 0.1550 d1.loss_iou: 0.2965 d2.loss_cls: 0.3150 d2.loss_bbox: 0.1503 d2.loss_iou: 0.2944 d3.loss_cls: 0.3083 d3.loss_bbox: 0.1529 d3.loss_iou: 0.2960 d4.loss_cls: 0.3040 d4.loss_bbox: 0.1513 d4.loss_iou: 0.2952 enc_loss_cls: 0.3626 enc_loss_bbox: 0.1757 enc_loss_iou: 0.3267 dn_loss_cls: 0.0873 dn_loss_bbox: 0.1852 dn_loss_iou: 0.2454 d0.dn_loss_cls: 0.1785 d0.dn_loss_bbox: 0.3403 d0.dn_loss_iou: 0.3981 d1.dn_loss_cls: 0.1222 d1.dn_loss_bbox: 0.2197 d1.dn_loss_iou: 0.2790 d2.dn_loss_cls: 0.1075 d2.dn_loss_bbox: 0.1943 d2.dn_loss_iou: 0.2550 d3.dn_loss_cls: 0.0951 d3.dn_loss_bbox: 0.1871 d3.dn_loss_iou: 0.2468 d4.dn_loss_cls: 0.0876 d4.dn_loss_bbox: 0.1852 d4.dn_loss_iou: 0.2455 d1.loss_lmm_region: 0.1651 loss_lmm_image: 0.8454 +2024/11/07 11:22:48 - mmengine - INFO - Iter(train) [ 27700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:00:55 time: 1.0392 data_time: 0.0174 memory: 25004 grad_norm: 23.0181 loss: 10.3015 loss_cls: 0.3228 loss_bbox: 0.1565 loss_iou: 0.2344 d0.loss_cls: 0.3570 d0.loss_bbox: 0.1663 d0.loss_iou: 0.2508 d1.loss_cls: 0.3416 d1.loss_bbox: 0.1609 d1.loss_iou: 0.2378 d2.loss_cls: 0.3292 d2.loss_bbox: 0.1614 d2.loss_iou: 0.2363 d3.loss_cls: 0.3238 d3.loss_bbox: 0.1612 d3.loss_iou: 0.2347 d4.loss_cls: 0.3235 d4.loss_bbox: 0.1574 d4.loss_iou: 0.2339 enc_loss_cls: 0.3745 enc_loss_bbox: 0.1837 enc_loss_iou: 0.2768 dn_loss_cls: 0.1145 dn_loss_bbox: 0.2118 dn_loss_iou: 0.2308 d0.dn_loss_cls: 0.2112 d0.dn_loss_bbox: 0.3899 d0.dn_loss_iou: 0.3923 d1.dn_loss_cls: 0.1447 d1.dn_loss_bbox: 0.2498 d1.dn_loss_iou: 0.2692 d2.dn_loss_cls: 0.1266 d2.dn_loss_bbox: 0.2209 d2.dn_loss_iou: 0.2406 d3.dn_loss_cls: 0.1201 d3.dn_loss_bbox: 0.2129 d3.dn_loss_iou: 0.2324 d4.dn_loss_cls: 0.1150 d4.dn_loss_bbox: 0.2117 d4.dn_loss_iou: 0.2306 d1.loss_lmm_region: 0.1890 loss_lmm_image: 0.9629 +2024/11/07 11:24:31 - mmengine - INFO - Iter(train) [ 27800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:59:12 time: 1.0280 data_time: 0.0174 memory: 23809 grad_norm: 23.7841 loss: 9.7826 loss_cls: 0.2966 loss_bbox: 0.1522 loss_iou: 0.2552 d0.loss_cls: 0.3330 d0.loss_bbox: 0.1629 d0.loss_iou: 0.2729 d1.loss_cls: 0.3141 d1.loss_bbox: 0.1507 d1.loss_iou: 0.2605 d2.loss_cls: 0.3103 d2.loss_bbox: 0.1473 d2.loss_iou: 0.2536 d3.loss_cls: 0.3066 d3.loss_bbox: 0.1485 d3.loss_iou: 0.2555 d4.loss_cls: 0.3007 d4.loss_bbox: 0.1480 d4.loss_iou: 0.2543 enc_loss_cls: 0.3495 enc_loss_bbox: 0.1739 enc_loss_iou: 0.2933 dn_loss_cls: 0.1115 dn_loss_bbox: 0.1771 dn_loss_iou: 0.2202 d0.dn_loss_cls: 0.1909 d0.dn_loss_bbox: 0.3360 d0.dn_loss_iou: 0.3721 d1.dn_loss_cls: 0.1400 d1.dn_loss_bbox: 0.2169 d1.dn_loss_iou: 0.2573 d2.dn_loss_cls: 0.1268 d2.dn_loss_bbox: 0.1867 d2.dn_loss_iou: 0.2301 d3.dn_loss_cls: 0.1175 d3.dn_loss_bbox: 0.1799 d3.dn_loss_iou: 0.2218 d4.dn_loss_cls: 0.1126 d4.dn_loss_bbox: 0.1769 d4.dn_loss_iou: 0.2200 d1.loss_lmm_region: 0.1737 loss_lmm_image: 0.8750 +2024/11/07 11:26:15 - mmengine - INFO - Iter(train) [ 27900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:57:31 time: 1.0309 data_time: 0.0175 memory: 23975 grad_norm: 24.4237 loss: 9.6149 loss_cls: 0.2916 loss_bbox: 0.1437 loss_iou: 0.2727 d0.loss_cls: 0.3263 d0.loss_bbox: 0.1661 d0.loss_iou: 0.2976 d1.loss_cls: 0.3109 d1.loss_bbox: 0.1509 d1.loss_iou: 0.2827 d2.loss_cls: 0.3031 d2.loss_bbox: 0.1462 d2.loss_iou: 0.2734 d3.loss_cls: 0.2969 d3.loss_bbox: 0.1459 d3.loss_iou: 0.2730 d4.loss_cls: 0.2935 d4.loss_bbox: 0.1425 d4.loss_iou: 0.2727 enc_loss_cls: 0.3460 enc_loss_bbox: 0.1725 enc_loss_iou: 0.3128 dn_loss_cls: 0.0808 dn_loss_bbox: 0.1635 dn_loss_iou: 0.2259 d0.dn_loss_cls: 0.1676 d0.dn_loss_bbox: 0.3199 d0.dn_loss_iou: 0.3797 d1.dn_loss_cls: 0.1121 d1.dn_loss_bbox: 0.1959 d1.dn_loss_iou: 0.2592 d2.dn_loss_cls: 0.0934 d2.dn_loss_bbox: 0.1702 d2.dn_loss_iou: 0.2343 d3.dn_loss_cls: 0.0868 d3.dn_loss_bbox: 0.1654 d3.dn_loss_iou: 0.2274 d4.dn_loss_cls: 0.0825 d4.dn_loss_bbox: 0.1635 d4.dn_loss_iou: 0.2257 d1.loss_lmm_region: 0.1664 loss_lmm_image: 0.8735 +2024/11/07 11:27:58 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/07 11:27:58 - mmengine - INFO - Iter(train) [ 28000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:55:49 time: 1.0304 data_time: 0.0176 memory: 23941 grad_norm: 25.9275 loss: 10.3021 loss_cls: 0.3202 loss_bbox: 0.1524 loss_iou: 0.3104 d0.loss_cls: 0.3547 d0.loss_bbox: 0.1623 d0.loss_iou: 0.3276 d1.loss_cls: 0.3413 d1.loss_bbox: 0.1552 d1.loss_iou: 0.3148 d2.loss_cls: 0.3311 d2.loss_bbox: 0.1517 d2.loss_iou: 0.3098 d3.loss_cls: 0.3273 d3.loss_bbox: 0.1519 d3.loss_iou: 0.3086 d4.loss_cls: 0.3225 d4.loss_bbox: 0.1520 d4.loss_iou: 0.3096 enc_loss_cls: 0.3763 enc_loss_bbox: 0.1710 enc_loss_iou: 0.3463 dn_loss_cls: 0.0978 dn_loss_bbox: 0.1614 dn_loss_iou: 0.2450 d0.dn_loss_cls: 0.1947 d0.dn_loss_bbox: 0.3158 d0.dn_loss_iou: 0.3976 d1.dn_loss_cls: 0.1335 d1.dn_loss_bbox: 0.1941 d1.dn_loss_iou: 0.2760 d2.dn_loss_cls: 0.1161 d2.dn_loss_bbox: 0.1695 d2.dn_loss_iou: 0.2526 d3.dn_loss_cls: 0.1044 d3.dn_loss_bbox: 0.1617 d3.dn_loss_iou: 0.2459 d4.dn_loss_cls: 0.0977 d4.dn_loss_bbox: 0.1616 d4.dn_loss_iou: 0.2450 d1.loss_lmm_region: 0.1662 loss_lmm_image: 0.8686 +2024/11/07 11:29:41 - mmengine - INFO - Iter(train) [ 28100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:54:07 time: 1.0342 data_time: 0.0174 memory: 23778 grad_norm: 26.0600 loss: 11.2507 loss_cls: 0.3764 loss_bbox: 0.1847 loss_iou: 0.3321 d0.loss_cls: 0.4218 d0.loss_bbox: 0.1937 d0.loss_iou: 0.3501 d1.loss_cls: 0.3996 d1.loss_bbox: 0.1846 d1.loss_iou: 0.3373 d2.loss_cls: 0.3931 d2.loss_bbox: 0.1811 d2.loss_iou: 0.3327 d3.loss_cls: 0.3819 d3.loss_bbox: 0.1832 d3.loss_iou: 0.3340 d4.loss_cls: 0.3810 d4.loss_bbox: 0.1826 d4.loss_iou: 0.3313 enc_loss_cls: 0.4457 enc_loss_bbox: 0.2078 enc_loss_iou: 0.3765 dn_loss_cls: 0.0907 dn_loss_bbox: 0.1787 dn_loss_iou: 0.2452 d0.dn_loss_cls: 0.1884 d0.dn_loss_bbox: 0.3348 d0.dn_loss_iou: 0.4040 d1.dn_loss_cls: 0.1297 d1.dn_loss_bbox: 0.2153 d1.dn_loss_iou: 0.2824 d2.dn_loss_cls: 0.1080 d2.dn_loss_bbox: 0.1884 d2.dn_loss_iou: 0.2564 d3.dn_loss_cls: 0.0969 d3.dn_loss_bbox: 0.1802 d3.dn_loss_iou: 0.2474 d4.dn_loss_cls: 0.0924 d4.dn_loss_bbox: 0.1786 d4.dn_loss_iou: 0.2454 d1.loss_lmm_region: 0.1738 loss_lmm_image: 0.9028 +2024/11/07 11:31:25 - mmengine - INFO - Iter(train) [ 28200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:52:25 time: 1.0364 data_time: 0.0175 memory: 24398 grad_norm: 25.1399 loss: 10.6803 loss_cls: 0.3281 loss_bbox: 0.1628 loss_iou: 0.3176 d0.loss_cls: 0.3812 d0.loss_bbox: 0.1696 d0.loss_iou: 0.3352 d1.loss_cls: 0.3554 d1.loss_bbox: 0.1654 d1.loss_iou: 0.3245 d2.loss_cls: 0.3424 d2.loss_bbox: 0.1625 d2.loss_iou: 0.3170 d3.loss_cls: 0.3393 d3.loss_bbox: 0.1603 d3.loss_iou: 0.3169 d4.loss_cls: 0.3269 d4.loss_bbox: 0.1636 d4.loss_iou: 0.3186 enc_loss_cls: 0.3935 enc_loss_bbox: 0.1811 enc_loss_iou: 0.3587 dn_loss_cls: 0.1084 dn_loss_bbox: 0.1832 dn_loss_iou: 0.2386 d0.dn_loss_cls: 0.1957 d0.dn_loss_bbox: 0.3362 d0.dn_loss_iou: 0.3964 d1.dn_loss_cls: 0.1388 d1.dn_loss_bbox: 0.2179 d1.dn_loss_iou: 0.2755 d2.dn_loss_cls: 0.1224 d2.dn_loss_bbox: 0.1919 d2.dn_loss_iou: 0.2487 d3.dn_loss_cls: 0.1171 d3.dn_loss_bbox: 0.1836 d3.dn_loss_iou: 0.2399 d4.dn_loss_cls: 0.1109 d4.dn_loss_bbox: 0.1833 d4.dn_loss_iou: 0.2387 d1.loss_lmm_region: 0.1558 loss_lmm_image: 0.8768 +2024/11/07 11:33:08 - mmengine - INFO - Iter(train) [ 28300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:50:42 time: 1.0331 data_time: 0.0175 memory: 23233 grad_norm: 21.2333 loss: 9.8740 loss_cls: 0.3034 loss_bbox: 0.1441 loss_iou: 0.2797 d0.loss_cls: 0.3427 d0.loss_bbox: 0.1632 d0.loss_iou: 0.3049 d1.loss_cls: 0.3267 d1.loss_bbox: 0.1484 d1.loss_iou: 0.2871 d2.loss_cls: 0.3211 d2.loss_bbox: 0.1442 d2.loss_iou: 0.2804 d3.loss_cls: 0.3125 d3.loss_bbox: 0.1428 d3.loss_iou: 0.2783 d4.loss_cls: 0.3049 d4.loss_bbox: 0.1432 d4.loss_iou: 0.2789 enc_loss_cls: 0.3660 enc_loss_bbox: 0.1709 enc_loss_iou: 0.3251 dn_loss_cls: 0.0975 dn_loss_bbox: 0.1708 dn_loss_iou: 0.2277 d0.dn_loss_cls: 0.1763 d0.dn_loss_bbox: 0.3225 d0.dn_loss_iou: 0.3746 d1.dn_loss_cls: 0.1240 d1.dn_loss_bbox: 0.2060 d1.dn_loss_iou: 0.2620 d2.dn_loss_cls: 0.1083 d2.dn_loss_bbox: 0.1800 d2.dn_loss_iou: 0.2362 d3.dn_loss_cls: 0.0993 d3.dn_loss_bbox: 0.1725 d3.dn_loss_iou: 0.2293 d4.dn_loss_cls: 0.0982 d4.dn_loss_bbox: 0.1709 d4.dn_loss_iou: 0.2277 d1.loss_lmm_region: 0.1620 loss_lmm_image: 0.8597 +2024/11/07 11:34:51 - mmengine - INFO - Iter(train) [ 28400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:49:00 time: 1.0289 data_time: 0.0175 memory: 23248 grad_norm: 20.7300 loss: 9.5231 loss_cls: 0.2831 loss_bbox: 0.1486 loss_iou: 0.2501 d0.loss_cls: 0.3155 d0.loss_bbox: 0.1690 d0.loss_iou: 0.2716 d1.loss_cls: 0.2990 d1.loss_bbox: 0.1528 d1.loss_iou: 0.2554 d2.loss_cls: 0.2921 d2.loss_bbox: 0.1538 d2.loss_iou: 0.2537 d3.loss_cls: 0.2893 d3.loss_bbox: 0.1472 d3.loss_iou: 0.2485 d4.loss_cls: 0.2845 d4.loss_bbox: 0.1475 d4.loss_iou: 0.2497 enc_loss_cls: 0.3430 enc_loss_bbox: 0.1718 enc_loss_iou: 0.2864 dn_loss_cls: 0.0909 dn_loss_bbox: 0.1840 dn_loss_iou: 0.2184 d0.dn_loss_cls: 0.1824 d0.dn_loss_bbox: 0.3443 d0.dn_loss_iou: 0.3683 d1.dn_loss_cls: 0.1236 d1.dn_loss_bbox: 0.2179 d1.dn_loss_iou: 0.2530 d2.dn_loss_cls: 0.1059 d2.dn_loss_bbox: 0.1930 d2.dn_loss_iou: 0.2283 d3.dn_loss_cls: 0.0966 d3.dn_loss_bbox: 0.1858 d3.dn_loss_iou: 0.2204 d4.dn_loss_cls: 0.0917 d4.dn_loss_bbox: 0.1840 d4.dn_loss_iou: 0.2182 d1.loss_lmm_region: 0.1624 loss_lmm_image: 0.8413 +2024/11/07 11:36:34 - mmengine - INFO - Iter(train) [ 28500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:47:16 time: 1.0241 data_time: 0.0174 memory: 22705 grad_norm: 22.7478 loss: 10.5002 loss_cls: 0.3171 loss_bbox: 0.1518 loss_iou: 0.2896 d0.loss_cls: 0.3449 d0.loss_bbox: 0.1685 d0.loss_iou: 0.3092 d1.loss_cls: 0.3319 d1.loss_bbox: 0.1569 d1.loss_iou: 0.2978 d2.loss_cls: 0.3269 d2.loss_bbox: 0.1503 d2.loss_iou: 0.2923 d3.loss_cls: 0.3218 d3.loss_bbox: 0.1513 d3.loss_iou: 0.2921 d4.loss_cls: 0.3173 d4.loss_bbox: 0.1520 d4.loss_iou: 0.2892 enc_loss_cls: 0.3594 enc_loss_bbox: 0.1877 enc_loss_iou: 0.3374 dn_loss_cls: 0.0977 dn_loss_bbox: 0.1980 dn_loss_iou: 0.2586 d0.dn_loss_cls: 0.1906 d0.dn_loss_bbox: 0.3673 d0.dn_loss_iou: 0.4268 d1.dn_loss_cls: 0.1280 d1.dn_loss_bbox: 0.2315 d1.dn_loss_iou: 0.2914 d2.dn_loss_cls: 0.1114 d2.dn_loss_bbox: 0.2093 d2.dn_loss_iou: 0.2684 d3.dn_loss_cls: 0.1034 d3.dn_loss_bbox: 0.1994 d3.dn_loss_iou: 0.2599 d4.dn_loss_cls: 0.0974 d4.dn_loss_bbox: 0.1979 d4.dn_loss_iou: 0.2586 d1.loss_lmm_region: 0.1835 loss_lmm_image: 0.8761 +2024/11/07 11:38:17 - mmengine - INFO - Iter(train) [ 28600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:45:31 time: 1.0230 data_time: 0.0173 memory: 23995 grad_norm: 24.4434 loss: 11.7092 loss_cls: 0.3939 loss_bbox: 0.1859 loss_iou: 0.3346 d0.loss_cls: 0.4251 d0.loss_bbox: 0.1982 d0.loss_iou: 0.3537 d1.loss_cls: 0.4053 d1.loss_bbox: 0.1955 d1.loss_iou: 0.3416 d2.loss_cls: 0.4060 d2.loss_bbox: 0.1851 d2.loss_iou: 0.3316 d3.loss_cls: 0.3955 d3.loss_bbox: 0.1856 d3.loss_iou: 0.3351 d4.loss_cls: 0.3951 d4.loss_bbox: 0.1863 d4.loss_iou: 0.3349 enc_loss_cls: 0.4523 enc_loss_bbox: 0.2119 enc_loss_iou: 0.3733 dn_loss_cls: 0.1349 dn_loss_bbox: 0.1967 dn_loss_iou: 0.2437 d0.dn_loss_cls: 0.2298 d0.dn_loss_bbox: 0.3523 d0.dn_loss_iou: 0.3897 d1.dn_loss_cls: 0.1698 d1.dn_loss_bbox: 0.2300 d1.dn_loss_iou: 0.2753 d2.dn_loss_cls: 0.1499 d2.dn_loss_bbox: 0.2021 d2.dn_loss_iou: 0.2501 d3.dn_loss_cls: 0.1414 d3.dn_loss_bbox: 0.1982 d3.dn_loss_iou: 0.2449 d4.dn_loss_cls: 0.1360 d4.dn_loss_bbox: 0.1968 d4.dn_loss_iou: 0.2438 d1.loss_lmm_region: 0.2212 loss_lmm_image: 0.8760 +2024/11/07 11:40:00 - mmengine - INFO - Iter(train) [ 28700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:43:49 time: 1.0322 data_time: 0.0174 memory: 24434 grad_norm: 24.2618 loss: 9.5893 loss_cls: 0.2846 loss_bbox: 0.1314 loss_iou: 0.2449 d0.loss_cls: 0.3205 d0.loss_bbox: 0.1454 d0.loss_iou: 0.2574 d1.loss_cls: 0.3087 d1.loss_bbox: 0.1313 d1.loss_iou: 0.2458 d2.loss_cls: 0.2980 d2.loss_bbox: 0.1310 d2.loss_iou: 0.2439 d3.loss_cls: 0.2903 d3.loss_bbox: 0.1321 d3.loss_iou: 0.2463 d4.loss_cls: 0.2859 d4.loss_bbox: 0.1309 d4.loss_iou: 0.2449 enc_loss_cls: 0.3342 enc_loss_bbox: 0.1577 enc_loss_iou: 0.2773 dn_loss_cls: 0.1245 dn_loss_bbox: 0.1716 dn_loss_iou: 0.2231 d0.dn_loss_cls: 0.2064 d0.dn_loss_bbox: 0.3241 d0.dn_loss_iou: 0.3718 d1.dn_loss_cls: 0.1524 d1.dn_loss_bbox: 0.2075 d1.dn_loss_iou: 0.2580 d2.dn_loss_cls: 0.1361 d2.dn_loss_bbox: 0.1799 d2.dn_loss_iou: 0.2319 d3.dn_loss_cls: 0.1273 d3.dn_loss_bbox: 0.1728 d3.dn_loss_iou: 0.2248 d4.dn_loss_cls: 0.1232 d4.dn_loss_bbox: 0.1715 d4.dn_loss_iou: 0.2232 d1.loss_lmm_region: 0.2111 loss_lmm_image: 0.9055 +2024/11/07 11:41:44 - mmengine - INFO - Iter(train) [ 28800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:42:08 time: 1.0297 data_time: 0.0174 memory: 23290 grad_norm: 24.7279 loss: 8.8398 loss_cls: 0.2817 loss_bbox: 0.1140 loss_iou: 0.2392 d0.loss_cls: 0.3002 d0.loss_bbox: 0.1327 d0.loss_iou: 0.2591 d1.loss_cls: 0.2914 d1.loss_bbox: 0.1194 d1.loss_iou: 0.2461 d2.loss_cls: 0.2820 d2.loss_bbox: 0.1159 d2.loss_iou: 0.2425 d3.loss_cls: 0.2841 d3.loss_bbox: 0.1133 d3.loss_iou: 0.2386 d4.loss_cls: 0.2826 d4.loss_bbox: 0.1128 d4.loss_iou: 0.2378 enc_loss_cls: 0.3292 enc_loss_bbox: 0.1403 enc_loss_iou: 0.2749 dn_loss_cls: 0.0867 dn_loss_bbox: 0.1428 dn_loss_iou: 0.2127 d0.dn_loss_cls: 0.1662 d0.dn_loss_bbox: 0.2962 d0.dn_loss_iou: 0.3667 d1.dn_loss_cls: 0.1130 d1.dn_loss_bbox: 0.1762 d1.dn_loss_iou: 0.2470 d2.dn_loss_cls: 0.0996 d2.dn_loss_bbox: 0.1515 d2.dn_loss_iou: 0.2217 d3.dn_loss_cls: 0.0924 d3.dn_loss_bbox: 0.1433 d3.dn_loss_iou: 0.2141 d4.dn_loss_cls: 0.0876 d4.dn_loss_bbox: 0.1429 d4.dn_loss_iou: 0.2127 d1.loss_lmm_region: 0.1366 loss_lmm_image: 0.8920 +2024/11/07 11:43:27 - mmengine - INFO - Iter(train) [ 28900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:40:27 time: 1.0336 data_time: 0.0173 memory: 23436 grad_norm: 20.5358 loss: 10.7671 loss_cls: 0.3569 loss_bbox: 0.1700 loss_iou: 0.3314 d0.loss_cls: 0.3957 d0.loss_bbox: 0.1817 d0.loss_iou: 0.3539 d1.loss_cls: 0.3729 d1.loss_bbox: 0.1759 d1.loss_iou: 0.3392 d2.loss_cls: 0.3712 d2.loss_bbox: 0.1712 d2.loss_iou: 0.3347 d3.loss_cls: 0.3698 d3.loss_bbox: 0.1689 d3.loss_iou: 0.3309 d4.loss_cls: 0.3602 d4.loss_bbox: 0.1698 d4.loss_iou: 0.3298 enc_loss_cls: 0.4085 enc_loss_bbox: 0.1927 enc_loss_iou: 0.3768 dn_loss_cls: 0.0885 dn_loss_bbox: 0.1625 dn_loss_iou: 0.2435 d0.dn_loss_cls: 0.1770 d0.dn_loss_bbox: 0.3124 d0.dn_loss_iou: 0.3983 d1.dn_loss_cls: 0.1195 d1.dn_loss_bbox: 0.1958 d1.dn_loss_iou: 0.2780 d2.dn_loss_cls: 0.1014 d2.dn_loss_bbox: 0.1688 d2.dn_loss_iou: 0.2513 d3.dn_loss_cls: 0.0922 d3.dn_loss_bbox: 0.1635 d3.dn_loss_iou: 0.2451 d4.dn_loss_cls: 0.0888 d4.dn_loss_bbox: 0.1626 d4.dn_loss_iou: 0.2435 d1.loss_lmm_region: 0.1648 loss_lmm_image: 0.8473 +2024/11/07 11:45:11 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/07 11:45:11 - mmengine - INFO - Iter(train) [ 29000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:38:47 time: 1.0262 data_time: 0.0175 memory: 23605 grad_norm: 22.8805 loss: 10.2033 loss_cls: 0.3033 loss_bbox: 0.1415 loss_iou: 0.2791 d0.loss_cls: 0.3427 d0.loss_bbox: 0.1591 d0.loss_iou: 0.2997 d1.loss_cls: 0.3245 d1.loss_bbox: 0.1468 d1.loss_iou: 0.2880 d2.loss_cls: 0.3128 d2.loss_bbox: 0.1437 d2.loss_iou: 0.2836 d3.loss_cls: 0.3093 d3.loss_bbox: 0.1417 d3.loss_iou: 0.2814 d4.loss_cls: 0.3022 d4.loss_bbox: 0.1449 d4.loss_iou: 0.2817 enc_loss_cls: 0.3650 enc_loss_bbox: 0.1722 enc_loss_iou: 0.3204 dn_loss_cls: 0.0964 dn_loss_bbox: 0.1871 dn_loss_iou: 0.2380 d0.dn_loss_cls: 0.1961 d0.dn_loss_bbox: 0.3661 d0.dn_loss_iou: 0.4049 d1.dn_loss_cls: 0.1364 d1.dn_loss_bbox: 0.2324 d1.dn_loss_iou: 0.2778 d2.dn_loss_cls: 0.1139 d2.dn_loss_bbox: 0.2018 d2.dn_loss_iou: 0.2504 d3.dn_loss_cls: 0.1045 d3.dn_loss_bbox: 0.1909 d3.dn_loss_iou: 0.2407 d4.dn_loss_cls: 0.0972 d4.dn_loss_bbox: 0.1872 d4.dn_loss_iou: 0.2379 d1.loss_lmm_region: 0.1891 loss_lmm_image: 0.9108 +2024/11/07 11:46:54 - mmengine - INFO - Iter(train) [ 29100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:37:04 time: 1.0354 data_time: 0.0178 memory: 23608 grad_norm: 21.9325 loss: 8.5132 loss_cls: 0.2499 loss_bbox: 0.1188 loss_iou: 0.2262 d0.loss_cls: 0.2838 d0.loss_bbox: 0.1271 d0.loss_iou: 0.2366 d1.loss_cls: 0.2610 d1.loss_bbox: 0.1252 d1.loss_iou: 0.2313 d2.loss_cls: 0.2558 d2.loss_bbox: 0.1189 d2.loss_iou: 0.2263 d3.loss_cls: 0.2519 d3.loss_bbox: 0.1186 d3.loss_iou: 0.2252 d4.loss_cls: 0.2503 d4.loss_bbox: 0.1185 d4.loss_iou: 0.2258 enc_loss_cls: 0.2955 enc_loss_bbox: 0.1465 enc_loss_iou: 0.2649 dn_loss_cls: 0.0911 dn_loss_bbox: 0.1515 dn_loss_iou: 0.1934 d0.dn_loss_cls: 0.1632 d0.dn_loss_bbox: 0.3137 d0.dn_loss_iou: 0.3412 d1.dn_loss_cls: 0.1145 d1.dn_loss_bbox: 0.1871 d1.dn_loss_iou: 0.2287 d2.dn_loss_cls: 0.1012 d2.dn_loss_bbox: 0.1604 d2.dn_loss_iou: 0.2019 d3.dn_loss_cls: 0.0949 d3.dn_loss_bbox: 0.1537 d3.dn_loss_iou: 0.1943 d4.dn_loss_cls: 0.0924 d4.dn_loss_bbox: 0.1518 d4.dn_loss_iou: 0.1935 d1.loss_lmm_region: 0.1683 loss_lmm_image: 0.8581 +2024/11/07 11:48:37 - mmengine - INFO - Iter(train) [ 29200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:35:23 time: 1.0409 data_time: 0.0175 memory: 23835 grad_norm: 22.8639 loss: 10.9369 loss_cls: 0.3606 loss_bbox: 0.1738 loss_iou: 0.3224 d0.loss_cls: 0.4038 d0.loss_bbox: 0.1857 d0.loss_iou: 0.3360 d1.loss_cls: 0.3828 d1.loss_bbox: 0.1677 d1.loss_iou: 0.3211 d2.loss_cls: 0.3749 d2.loss_bbox: 0.1728 d2.loss_iou: 0.3210 d3.loss_cls: 0.3633 d3.loss_bbox: 0.1736 d3.loss_iou: 0.3217 d4.loss_cls: 0.3625 d4.loss_bbox: 0.1718 d4.loss_iou: 0.3209 enc_loss_cls: 0.4142 enc_loss_bbox: 0.2044 enc_loss_iou: 0.3655 dn_loss_cls: 0.0998 dn_loss_bbox: 0.1681 dn_loss_iou: 0.2470 d0.dn_loss_cls: 0.2014 d0.dn_loss_bbox: 0.3214 d0.dn_loss_iou: 0.4095 d1.dn_loss_cls: 0.1368 d1.dn_loss_bbox: 0.2012 d1.dn_loss_iou: 0.2813 d2.dn_loss_cls: 0.1179 d2.dn_loss_bbox: 0.1781 d2.dn_loss_iou: 0.2567 d3.dn_loss_cls: 0.1081 d3.dn_loss_bbox: 0.1702 d3.dn_loss_iou: 0.2489 d4.dn_loss_cls: 0.1011 d4.dn_loss_bbox: 0.1682 d4.dn_loss_iou: 0.2471 d1.loss_lmm_region: 0.1850 loss_lmm_image: 0.8686 +2024/11/07 11:50:21 - mmengine - INFO - Iter(train) [ 29300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:33:43 time: 1.0440 data_time: 0.0176 memory: 23534 grad_norm: 24.7017 loss: 10.6844 loss_cls: 0.3458 loss_bbox: 0.1588 loss_iou: 0.3176 d0.loss_cls: 0.3778 d0.loss_bbox: 0.1735 d0.loss_iou: 0.3410 d1.loss_cls: 0.3638 d1.loss_bbox: 0.1624 d1.loss_iou: 0.3241 d2.loss_cls: 0.3530 d2.loss_bbox: 0.1602 d2.loss_iou: 0.3211 d3.loss_cls: 0.3539 d3.loss_bbox: 0.1561 d3.loss_iou: 0.3170 d4.loss_cls: 0.3488 d4.loss_bbox: 0.1572 d4.loss_iou: 0.3168 enc_loss_cls: 0.3971 enc_loss_bbox: 0.1847 enc_loss_iou: 0.3623 dn_loss_cls: 0.0994 dn_loss_bbox: 0.1690 dn_loss_iou: 0.2468 d0.dn_loss_cls: 0.1849 d0.dn_loss_bbox: 0.3141 d0.dn_loss_iou: 0.3998 d1.dn_loss_cls: 0.1305 d1.dn_loss_bbox: 0.1970 d1.dn_loss_iou: 0.2796 d2.dn_loss_cls: 0.1166 d2.dn_loss_bbox: 0.1777 d2.dn_loss_iou: 0.2560 d3.dn_loss_cls: 0.1083 d3.dn_loss_bbox: 0.1707 d3.dn_loss_iou: 0.2481 d4.dn_loss_cls: 0.1014 d4.dn_loss_bbox: 0.1690 d4.dn_loss_iou: 0.2468 d1.loss_lmm_region: 0.1838 loss_lmm_image: 0.8920 +2024/11/07 11:52:04 - mmengine - INFO - Iter(train) [ 29400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:31:59 time: 1.0273 data_time: 0.0173 memory: 23589 grad_norm: 23.0566 loss: 10.9301 loss_cls: 0.3128 loss_bbox: 0.1841 loss_iou: 0.2796 d0.loss_cls: 0.3485 d0.loss_bbox: 0.2000 d0.loss_iou: 0.2939 d1.loss_cls: 0.3319 d1.loss_bbox: 0.1863 d1.loss_iou: 0.2838 d2.loss_cls: 0.3264 d2.loss_bbox: 0.1800 d2.loss_iou: 0.2813 d3.loss_cls: 0.3183 d3.loss_bbox: 0.1817 d3.loss_iou: 0.2813 d4.loss_cls: 0.3148 d4.loss_bbox: 0.1813 d4.loss_iou: 0.2793 enc_loss_cls: 0.3701 enc_loss_bbox: 0.2081 enc_loss_iou: 0.3152 dn_loss_cls: 0.1036 dn_loss_bbox: 0.2387 dn_loss_iou: 0.2651 d0.dn_loss_cls: 0.1914 d0.dn_loss_bbox: 0.4049 d0.dn_loss_iou: 0.4221 d1.dn_loss_cls: 0.1329 d1.dn_loss_bbox: 0.2730 d1.dn_loss_iou: 0.3003 d2.dn_loss_cls: 0.1168 d2.dn_loss_bbox: 0.2515 d2.dn_loss_iou: 0.2754 d3.dn_loss_cls: 0.1089 d3.dn_loss_bbox: 0.2402 d3.dn_loss_iou: 0.2668 d4.dn_loss_cls: 0.1046 d4.dn_loss_bbox: 0.2389 d4.dn_loss_iou: 0.2651 d1.loss_lmm_region: 0.1951 loss_lmm_image: 0.8760 +2024/11/07 11:53:48 - mmengine - INFO - Iter(train) [ 29500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:30:18 time: 1.0190 data_time: 0.0177 memory: 24110 grad_norm: 20.9967 loss: 9.2201 loss_cls: 0.2963 loss_bbox: 0.1300 loss_iou: 0.2400 d0.loss_cls: 0.3326 d0.loss_bbox: 0.1491 d0.loss_iou: 0.2584 d1.loss_cls: 0.3206 d1.loss_bbox: 0.1363 d1.loss_iou: 0.2454 d2.loss_cls: 0.3082 d2.loss_bbox: 0.1310 d2.loss_iou: 0.2400 d3.loss_cls: 0.3039 d3.loss_bbox: 0.1303 d3.loss_iou: 0.2408 d4.loss_cls: 0.2986 d4.loss_bbox: 0.1301 d4.loss_iou: 0.2393 enc_loss_cls: 0.3524 enc_loss_bbox: 0.1599 enc_loss_iou: 0.2755 dn_loss_cls: 0.0891 dn_loss_bbox: 0.1687 dn_loss_iou: 0.2014 d0.dn_loss_cls: 0.1775 d0.dn_loss_bbox: 0.2989 d0.dn_loss_iou: 0.3343 d1.dn_loss_cls: 0.1209 d1.dn_loss_bbox: 0.1948 d1.dn_loss_iou: 0.2309 d2.dn_loss_cls: 0.1042 d2.dn_loss_bbox: 0.1772 d2.dn_loss_iou: 0.2102 d3.dn_loss_cls: 0.0932 d3.dn_loss_bbox: 0.1696 d3.dn_loss_iou: 0.2025 d4.dn_loss_cls: 0.0890 d4.dn_loss_bbox: 0.1686 d4.dn_loss_iou: 0.2014 d1.loss_lmm_region: 0.1991 loss_lmm_image: 0.8699 +2024/11/07 11:55:31 - mmengine - INFO - Iter(train) [ 29600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:28:34 time: 1.0249 data_time: 0.0175 memory: 23459 grad_norm: 25.0737 loss: 9.2419 loss_cls: 0.2832 loss_bbox: 0.1423 loss_iou: 0.2390 d0.loss_cls: 0.3186 d0.loss_bbox: 0.1540 d0.loss_iou: 0.2528 d1.loss_cls: 0.3041 d1.loss_bbox: 0.1451 d1.loss_iou: 0.2390 d2.loss_cls: 0.2938 d2.loss_bbox: 0.1406 d2.loss_iou: 0.2380 d3.loss_cls: 0.2898 d3.loss_bbox: 0.1403 d3.loss_iou: 0.2387 d4.loss_cls: 0.2858 d4.loss_bbox: 0.1410 d4.loss_iou: 0.2387 enc_loss_cls: 0.3407 enc_loss_bbox: 0.1648 enc_loss_iou: 0.2686 dn_loss_cls: 0.0947 dn_loss_bbox: 0.1575 dn_loss_iou: 0.2116 d0.dn_loss_cls: 0.1857 d0.dn_loss_bbox: 0.3125 d0.dn_loss_iou: 0.3620 d1.dn_loss_cls: 0.1285 d1.dn_loss_bbox: 0.1968 d1.dn_loss_iou: 0.2487 d2.dn_loss_cls: 0.1109 d2.dn_loss_bbox: 0.1678 d2.dn_loss_iou: 0.2207 d3.dn_loss_cls: 0.1004 d3.dn_loss_bbox: 0.1596 d3.dn_loss_iou: 0.2134 d4.dn_loss_cls: 0.0954 d4.dn_loss_bbox: 0.1574 d4.dn_loss_iou: 0.2115 d1.loss_lmm_region: 0.1655 loss_lmm_image: 0.8824 +2024/11/07 11:57:14 - mmengine - INFO - Iter(train) [ 29700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:26:52 time: 1.0272 data_time: 0.0179 memory: 22805 grad_norm: 22.0279 loss: 9.8873 loss_cls: 0.2724 loss_bbox: 0.1550 loss_iou: 0.2604 d0.loss_cls: 0.3145 d0.loss_bbox: 0.1638 d0.loss_iou: 0.2727 d1.loss_cls: 0.2987 d1.loss_bbox: 0.1548 d1.loss_iou: 0.2604 d2.loss_cls: 0.2921 d2.loss_bbox: 0.1483 d2.loss_iou: 0.2568 d3.loss_cls: 0.2836 d3.loss_bbox: 0.1525 d3.loss_iou: 0.2562 d4.loss_cls: 0.2743 d4.loss_bbox: 0.1544 d4.loss_iou: 0.2591 enc_loss_cls: 0.3282 enc_loss_bbox: 0.1784 enc_loss_iou: 0.2919 dn_loss_cls: 0.0881 dn_loss_bbox: 0.1914 dn_loss_iou: 0.2516 d0.dn_loss_cls: 0.1802 d0.dn_loss_bbox: 0.3517 d0.dn_loss_iou: 0.4108 d1.dn_loss_cls: 0.1179 d1.dn_loss_bbox: 0.2324 d1.dn_loss_iou: 0.2883 d2.dn_loss_cls: 0.1042 d2.dn_loss_bbox: 0.2005 d2.dn_loss_iou: 0.2608 d3.dn_loss_cls: 0.0944 d3.dn_loss_bbox: 0.1935 d3.dn_loss_iou: 0.2535 d4.dn_loss_cls: 0.0889 d4.dn_loss_bbox: 0.1916 d4.dn_loss_iou: 0.2517 d1.loss_lmm_region: 0.1924 loss_lmm_image: 0.9150 +2024/11/07 11:58:58 - mmengine - INFO - Iter(train) [ 29800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:25:10 time: 1.0360 data_time: 0.0175 memory: 23578 grad_norm: 21.3307 loss: 10.1140 loss_cls: 0.3241 loss_bbox: 0.1478 loss_iou: 0.2854 d0.loss_cls: 0.3570 d0.loss_bbox: 0.1638 d0.loss_iou: 0.3056 d1.loss_cls: 0.3416 d1.loss_bbox: 0.1521 d1.loss_iou: 0.2913 d2.loss_cls: 0.3338 d2.loss_bbox: 0.1493 d2.loss_iou: 0.2902 d3.loss_cls: 0.3304 d3.loss_bbox: 0.1453 d3.loss_iou: 0.2866 d4.loss_cls: 0.3272 d4.loss_bbox: 0.1470 d4.loss_iou: 0.2845 enc_loss_cls: 0.3776 enc_loss_bbox: 0.1751 enc_loss_iou: 0.3257 dn_loss_cls: 0.0954 dn_loss_bbox: 0.1724 dn_loss_iou: 0.2202 d0.dn_loss_cls: 0.1804 d0.dn_loss_bbox: 0.3425 d0.dn_loss_iou: 0.3832 d1.dn_loss_cls: 0.1241 d1.dn_loss_bbox: 0.2129 d1.dn_loss_iou: 0.2614 d2.dn_loss_cls: 0.1087 d2.dn_loss_bbox: 0.1814 d2.dn_loss_iou: 0.2306 d3.dn_loss_cls: 0.0992 d3.dn_loss_bbox: 0.1738 d3.dn_loss_iou: 0.2218 d4.dn_loss_cls: 0.0954 d4.dn_loss_bbox: 0.1723 d4.dn_loss_iou: 0.2202 d1.loss_lmm_region: 0.1693 loss_lmm_image: 0.9075 +2024/11/07 12:00:40 - mmengine - INFO - Iter(train) [ 29900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:23:25 time: 1.0247 data_time: 0.0176 memory: 23888 grad_norm: 22.7367 loss: 9.1424 loss_cls: 0.2496 loss_bbox: 0.1450 loss_iou: 0.2506 d0.loss_cls: 0.2845 d0.loss_bbox: 0.1535 d0.loss_iou: 0.2628 d1.loss_cls: 0.2706 d1.loss_bbox: 0.1429 d1.loss_iou: 0.2531 d2.loss_cls: 0.2612 d2.loss_bbox: 0.1456 d2.loss_iou: 0.2518 d3.loss_cls: 0.2552 d3.loss_bbox: 0.1413 d3.loss_iou: 0.2492 d4.loss_cls: 0.2526 d4.loss_bbox: 0.1431 d4.loss_iou: 0.2492 enc_loss_cls: 0.3056 enc_loss_bbox: 0.1663 enc_loss_iou: 0.2829 dn_loss_cls: 0.0799 dn_loss_bbox: 0.1668 dn_loss_iou: 0.2169 d0.dn_loss_cls: 0.1712 d0.dn_loss_bbox: 0.3367 d0.dn_loss_iou: 0.3741 d1.dn_loss_cls: 0.1152 d1.dn_loss_bbox: 0.2029 d1.dn_loss_iou: 0.2544 d2.dn_loss_cls: 0.0975 d2.dn_loss_bbox: 0.1732 d2.dn_loss_iou: 0.2274 d3.dn_loss_cls: 0.0868 d3.dn_loss_bbox: 0.1670 d3.dn_loss_iou: 0.2185 d4.dn_loss_cls: 0.0820 d4.dn_loss_bbox: 0.1671 d4.dn_loss_iou: 0.2170 d1.loss_lmm_region: 0.1841 loss_lmm_image: 0.8872 +2024/11/07 12:02:23 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/07 12:02:23 - mmengine - INFO - Iter(train) [ 30000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:21:41 time: 1.0328 data_time: 0.0175 memory: 24166 grad_norm: 24.3365 loss: 9.2186 loss_cls: 0.2839 loss_bbox: 0.1402 loss_iou: 0.2408 d0.loss_cls: 0.3113 d0.loss_bbox: 0.1600 d0.loss_iou: 0.2568 d1.loss_cls: 0.2997 d1.loss_bbox: 0.1482 d1.loss_iou: 0.2471 d2.loss_cls: 0.2887 d2.loss_bbox: 0.1446 d2.loss_iou: 0.2428 d3.loss_cls: 0.2909 d3.loss_bbox: 0.1393 d3.loss_iou: 0.2397 d4.loss_cls: 0.2881 d4.loss_bbox: 0.1402 d4.loss_iou: 0.2393 enc_loss_cls: 0.3338 enc_loss_bbox: 0.1720 enc_loss_iou: 0.2792 dn_loss_cls: 0.0876 dn_loss_bbox: 0.1699 dn_loss_iou: 0.2175 d0.dn_loss_cls: 0.1689 d0.dn_loss_bbox: 0.3197 d0.dn_loss_iou: 0.3632 d1.dn_loss_cls: 0.1151 d1.dn_loss_bbox: 0.1997 d1.dn_loss_iou: 0.2484 d2.dn_loss_cls: 0.0999 d2.dn_loss_bbox: 0.1757 d2.dn_loss_iou: 0.2251 d3.dn_loss_cls: 0.0928 d3.dn_loss_bbox: 0.1709 d3.dn_loss_iou: 0.2188 d4.dn_loss_cls: 0.0886 d4.dn_loss_bbox: 0.1699 d4.dn_loss_iou: 0.2176 d1.loss_lmm_region: 0.1585 loss_lmm_image: 0.8239 +2024/11/07 12:02:23 - mmengine - INFO - Saving checkpoint at 30000 iterations +2024/11/07 12:07:00 - mmengine - INFO - Iter(val) [100/602] eta: 0:18:33 time: 2.3197 data_time: 0.0016 memory: 5362 +2024/11/07 12:11:28 - mmengine - INFO - Iter(val) [200/602] eta: 0:16:25 time: 2.8355 data_time: 0.0017 memory: 5371 +2024/11/07 12:16:46 - mmengine - INFO - Iter(val) [300/602] eta: 0:13:33 time: 3.2842 data_time: 0.0018 memory: 5366 +2024/11/07 12:22:53 - mmengine - INFO - Iter(val) [400/602] eta: 0:09:53 time: 3.7487 data_time: 0.0018 memory: 5371 +2024/11/07 12:29:50 - mmengine - INFO - Iter(val) [500/602] eta: 0:05:24 time: 4.2631 data_time: 0.0018 memory: 5357 +2024/11/07 12:37:33 - mmengine - INFO - Iter(val) [600/602] eta: 0:00:06 time: 4.8179 data_time: 0.0019 memory: 5371 +2024/11/07 12:44:19 - mmengine - INFO - +=== +101 classes had less than 10000 detections! + Outputting 10000 detections for each class will improve AP further. + === +2024/11/07 12:46:43 - mmengine - INFO - mAP_copypaste: {'AP': 0.42480019024365806, 'AP50': 0.5352519049139784, 'AP75': 0.45182542662959246, 'APs': 0.38431819346551627, 'APm': 0.5497308922890008, 'APl': 0.6238229503960767, 'APr': 0.3347003632032937, 'APc': 0.37001776836579225, 'APf': 0.48959947929427294} +2024/11/07 12:47:08 - mmengine - INFO - Iter(val) [602/602] lvis_fixed_ap/AP: 0.4248 lvis_fixed_ap/AP50: 0.5353 lvis_fixed_ap/AP75: 0.4518 lvis_fixed_ap/APs: 0.3843 lvis_fixed_ap/APm: 0.5497 lvis_fixed_ap/APl: 0.6238 lvis_fixed_ap/APr: 0.3347 lvis_fixed_ap/APc: 0.3700 lvis_fixed_ap/APf: 0.4896 data_time: 0.0023 time: 3.4288 +2024/11/07 12:48:51 - mmengine - INFO - Iter(train) [ 30100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:57:29 time: 1.0245 data_time: 0.0162 memory: 24011 grad_norm: 22.3811 loss: 10.0631 loss_cls: 0.3274 loss_bbox: 0.1489 loss_iou: 0.2782 d0.loss_cls: 0.3640 d0.loss_bbox: 0.1660 d0.loss_iou: 0.2973 d1.loss_cls: 0.3466 d1.loss_bbox: 0.1542 d1.loss_iou: 0.2844 d2.loss_cls: 0.3406 d2.loss_bbox: 0.1475 d2.loss_iou: 0.2782 d3.loss_cls: 0.3333 d3.loss_bbox: 0.1481 d3.loss_iou: 0.2778 d4.loss_cls: 0.3288 d4.loss_bbox: 0.1485 d4.loss_iou: 0.2774 enc_loss_cls: 0.3765 enc_loss_bbox: 0.1789 enc_loss_iou: 0.3158 dn_loss_cls: 0.1031 dn_loss_bbox: 0.1729 dn_loss_iou: 0.2245 d0.dn_loss_cls: 0.1871 d0.dn_loss_bbox: 0.3368 d0.dn_loss_iou: 0.3786 d1.dn_loss_cls: 0.1353 d1.dn_loss_bbox: 0.2098 d1.dn_loss_iou: 0.2608 d2.dn_loss_cls: 0.1177 d2.dn_loss_bbox: 0.1839 d2.dn_loss_iou: 0.2347 d3.dn_loss_cls: 0.1076 d3.dn_loss_bbox: 0.1739 d3.dn_loss_iou: 0.2254 d4.dn_loss_cls: 0.1040 d4.dn_loss_bbox: 0.1728 d4.dn_loss_iou: 0.2244 d1.loss_lmm_region: 0.1559 loss_lmm_image: 0.8352 +2024/11/07 12:50:33 - mmengine - INFO - Iter(train) [ 30200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:55:34 time: 1.0198 data_time: 0.0163 memory: 24318 grad_norm: 23.6597 loss: 9.0945 loss_cls: 0.2969 loss_bbox: 0.1216 loss_iou: 0.2215 d0.loss_cls: 0.3077 d0.loss_bbox: 0.1415 d0.loss_iou: 0.2454 d1.loss_cls: 0.3036 d1.loss_bbox: 0.1315 d1.loss_iou: 0.2317 d2.loss_cls: 0.2988 d2.loss_bbox: 0.1254 d2.loss_iou: 0.2278 d3.loss_cls: 0.2919 d3.loss_bbox: 0.1253 d3.loss_iou: 0.2270 d4.loss_cls: 0.2949 d4.loss_bbox: 0.1211 d4.loss_iou: 0.2218 enc_loss_cls: 0.3245 enc_loss_bbox: 0.1547 enc_loss_iou: 0.2663 dn_loss_cls: 0.0900 dn_loss_bbox: 0.1685 dn_loss_iou: 0.2163 d0.dn_loss_cls: 0.1753 d0.dn_loss_bbox: 0.3316 d0.dn_loss_iou: 0.3737 d1.dn_loss_cls: 0.1206 d1.dn_loss_bbox: 0.2010 d1.dn_loss_iou: 0.2495 d2.dn_loss_cls: 0.1036 d2.dn_loss_bbox: 0.1795 d2.dn_loss_iou: 0.2247 d3.dn_loss_cls: 0.0952 d3.dn_loss_bbox: 0.1709 d3.dn_loss_iou: 0.2178 d4.dn_loss_cls: 0.0907 d4.dn_loss_bbox: 0.1685 d4.dn_loss_iou: 0.2162 d1.loss_lmm_region: 0.1777 loss_lmm_image: 0.8420 +2024/11/07 12:52:16 - mmengine - INFO - Iter(train) [ 30300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:53:40 time: 1.0274 data_time: 0.0163 memory: 24491 grad_norm: 24.1669 loss: 9.5349 loss_cls: 0.3432 loss_bbox: 0.1290 loss_iou: 0.2745 d0.loss_cls: 0.3697 d0.loss_bbox: 0.1472 d0.loss_iou: 0.2973 d1.loss_cls: 0.3523 d1.loss_bbox: 0.1347 d1.loss_iou: 0.2855 d2.loss_cls: 0.3566 d2.loss_bbox: 0.1297 d2.loss_iou: 0.2767 d3.loss_cls: 0.3458 d3.loss_bbox: 0.1298 d3.loss_iou: 0.2778 d4.loss_cls: 0.3413 d4.loss_bbox: 0.1303 d4.loss_iou: 0.2774 enc_loss_cls: 0.3862 enc_loss_bbox: 0.1652 enc_loss_iou: 0.3219 dn_loss_cls: 0.0727 dn_loss_bbox: 0.1408 dn_loss_iou: 0.2032 d0.dn_loss_cls: 0.1599 d0.dn_loss_bbox: 0.2822 d0.dn_loss_iou: 0.3484 d1.dn_loss_cls: 0.1010 d1.dn_loss_bbox: 0.1733 d1.dn_loss_iou: 0.2403 d2.dn_loss_cls: 0.0856 d2.dn_loss_bbox: 0.1471 d2.dn_loss_iou: 0.2121 d3.dn_loss_cls: 0.0768 d3.dn_loss_bbox: 0.1416 d3.dn_loss_iou: 0.2048 d4.dn_loss_cls: 0.0731 d4.dn_loss_bbox: 0.1409 d4.dn_loss_iou: 0.2035 d1.loss_lmm_region: 0.1785 loss_lmm_image: 0.8771 +2024/11/07 12:53:58 - mmengine - INFO - Iter(train) [ 30400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:51:45 time: 1.0184 data_time: 0.0163 memory: 23758 grad_norm: 26.0571 loss: 8.2621 loss_cls: 0.2450 loss_bbox: 0.1021 loss_iou: 0.1760 d0.loss_cls: 0.2732 d0.loss_bbox: 0.1112 d0.loss_iou: 0.1887 d1.loss_cls: 0.2588 d1.loss_bbox: 0.1073 d1.loss_iou: 0.1827 d2.loss_cls: 0.2530 d2.loss_bbox: 0.1045 d2.loss_iou: 0.1780 d3.loss_cls: 0.2484 d3.loss_bbox: 0.1050 d3.loss_iou: 0.1794 d4.loss_cls: 0.2460 d4.loss_bbox: 0.1033 d4.loss_iou: 0.1779 enc_loss_cls: 0.2877 enc_loss_bbox: 0.1282 enc_loss_iou: 0.2146 dn_loss_cls: 0.0873 dn_loss_bbox: 0.1655 dn_loss_iou: 0.2039 d0.dn_loss_cls: 0.1799 d0.dn_loss_bbox: 0.3177 d0.dn_loss_iou: 0.3507 d1.dn_loss_cls: 0.1213 d1.dn_loss_bbox: 0.2002 d1.dn_loss_iou: 0.2392 d2.dn_loss_cls: 0.1021 d2.dn_loss_bbox: 0.1740 d2.dn_loss_iou: 0.2134 d3.dn_loss_cls: 0.0916 d3.dn_loss_bbox: 0.1673 d3.dn_loss_iou: 0.2056 d4.dn_loss_cls: 0.0880 d4.dn_loss_bbox: 0.1654 d4.dn_loss_iou: 0.2040 d1.loss_lmm_region: 0.1943 loss_lmm_image: 0.9196 +2024/11/07 12:55:40 - mmengine - INFO - Iter(train) [ 30500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:49:49 time: 1.0190 data_time: 0.0165 memory: 23808 grad_norm: 26.3803 loss: 8.4814 loss_cls: 0.2417 loss_bbox: 0.1158 loss_iou: 0.2064 d0.loss_cls: 0.2677 d0.loss_bbox: 0.1275 d0.loss_iou: 0.2189 d1.loss_cls: 0.2587 d1.loss_bbox: 0.1184 d1.loss_iou: 0.2083 d2.loss_cls: 0.2477 d2.loss_bbox: 0.1198 d2.loss_iou: 0.2064 d3.loss_cls: 0.2446 d3.loss_bbox: 0.1170 d3.loss_iou: 0.2046 d4.loss_cls: 0.2431 d4.loss_bbox: 0.1165 d4.loss_iou: 0.2054 enc_loss_cls: 0.2802 enc_loss_bbox: 0.1482 enc_loss_iou: 0.2454 dn_loss_cls: 0.0861 dn_loss_bbox: 0.1663 dn_loss_iou: 0.2051 d0.dn_loss_cls: 0.1667 d0.dn_loss_bbox: 0.3219 d0.dn_loss_iou: 0.3532 d1.dn_loss_cls: 0.1168 d1.dn_loss_bbox: 0.1974 d1.dn_loss_iou: 0.2363 d2.dn_loss_cls: 0.0979 d2.dn_loss_bbox: 0.1757 d2.dn_loss_iou: 0.2140 d3.dn_loss_cls: 0.0890 d3.dn_loss_bbox: 0.1669 d3.dn_loss_iou: 0.2057 d4.dn_loss_cls: 0.0858 d4.dn_loss_bbox: 0.1664 d4.dn_loss_iou: 0.2050 d1.loss_lmm_region: 0.1980 loss_lmm_image: 0.8847 +2024/11/07 12:57:23 - mmengine - INFO - Iter(train) [ 30600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:47:54 time: 1.0241 data_time: 0.0165 memory: 23886 grad_norm: 21.6014 loss: 8.7753 loss_cls: 0.2695 loss_bbox: 0.1180 loss_iou: 0.2443 d0.loss_cls: 0.3017 d0.loss_bbox: 0.1339 d0.loss_iou: 0.2647 d1.loss_cls: 0.2915 d1.loss_bbox: 0.1200 d1.loss_iou: 0.2489 d2.loss_cls: 0.2796 d2.loss_bbox: 0.1174 d2.loss_iou: 0.2440 d3.loss_cls: 0.2743 d3.loss_bbox: 0.1176 d3.loss_iou: 0.2425 d4.loss_cls: 0.2692 d4.loss_bbox: 0.1184 d4.loss_iou: 0.2434 enc_loss_cls: 0.3188 enc_loss_bbox: 0.1437 enc_loss_iou: 0.2825 dn_loss_cls: 0.0878 dn_loss_bbox: 0.1479 dn_loss_iou: 0.2017 d0.dn_loss_cls: 0.1634 d0.dn_loss_bbox: 0.2892 d0.dn_loss_iou: 0.3452 d1.dn_loss_cls: 0.1120 d1.dn_loss_bbox: 0.1778 d1.dn_loss_iou: 0.2335 d2.dn_loss_cls: 0.0985 d2.dn_loss_bbox: 0.1553 d2.dn_loss_iou: 0.2098 d3.dn_loss_cls: 0.0922 d3.dn_loss_bbox: 0.1486 d3.dn_loss_iou: 0.2030 d4.dn_loss_cls: 0.0879 d4.dn_loss_bbox: 0.1478 d4.dn_loss_iou: 0.2017 d1.loss_lmm_region: 0.1548 loss_lmm_image: 0.8734 +2024/11/07 12:59:05 - mmengine - INFO - Iter(train) [ 30700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:46:01 time: 1.0208 data_time: 0.0163 memory: 24464 grad_norm: 22.9802 loss: 10.5668 loss_cls: 0.3333 loss_bbox: 0.1629 loss_iou: 0.2735 d0.loss_cls: 0.3667 d0.loss_bbox: 0.1765 d0.loss_iou: 0.2939 d1.loss_cls: 0.3516 d1.loss_bbox: 0.1698 d1.loss_iou: 0.2821 d2.loss_cls: 0.3416 d2.loss_bbox: 0.1647 d2.loss_iou: 0.2764 d3.loss_cls: 0.3393 d3.loss_bbox: 0.1643 d3.loss_iou: 0.2750 d4.loss_cls: 0.3349 d4.loss_bbox: 0.1631 d4.loss_iou: 0.2742 enc_loss_cls: 0.3824 enc_loss_bbox: 0.1912 enc_loss_iou: 0.3185 dn_loss_cls: 0.1191 dn_loss_bbox: 0.1801 dn_loss_iou: 0.2384 d0.dn_loss_cls: 0.2115 d0.dn_loss_bbox: 0.3496 d0.dn_loss_iou: 0.4027 d1.dn_loss_cls: 0.1539 d1.dn_loss_bbox: 0.2187 d1.dn_loss_iou: 0.2739 d2.dn_loss_cls: 0.1363 d2.dn_loss_bbox: 0.1905 d2.dn_loss_iou: 0.2495 d3.dn_loss_cls: 0.1251 d3.dn_loss_bbox: 0.1822 d3.dn_loss_iou: 0.2399 d4.dn_loss_cls: 0.1195 d4.dn_loss_bbox: 0.1800 d4.dn_loss_iou: 0.2384 d1.loss_lmm_region: 0.1996 loss_lmm_image: 0.9217 +2024/11/07 13:00:48 - mmengine - INFO - Iter(train) [ 30800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:44:06 time: 1.0195 data_time: 0.0164 memory: 24098 grad_norm: 21.0122 loss: 10.6798 loss_cls: 0.3243 loss_bbox: 0.1793 loss_iou: 0.3051 d0.loss_cls: 0.3703 d0.loss_bbox: 0.1854 d0.loss_iou: 0.3159 d1.loss_cls: 0.3522 d1.loss_bbox: 0.1833 d1.loss_iou: 0.3122 d2.loss_cls: 0.3359 d2.loss_bbox: 0.1805 d2.loss_iou: 0.3070 d3.loss_cls: 0.3308 d3.loss_bbox: 0.1801 d3.loss_iou: 0.3046 d4.loss_cls: 0.3255 d4.loss_bbox: 0.1790 d4.loss_iou: 0.3059 enc_loss_cls: 0.3879 enc_loss_bbox: 0.2030 enc_loss_iou: 0.3402 dn_loss_cls: 0.1048 dn_loss_bbox: 0.1810 dn_loss_iou: 0.2511 d0.dn_loss_cls: 0.1950 d0.dn_loss_bbox: 0.3292 d0.dn_loss_iou: 0.4035 d1.dn_loss_cls: 0.1373 d1.dn_loss_bbox: 0.2158 d1.dn_loss_iou: 0.2852 d2.dn_loss_cls: 0.1194 d2.dn_loss_bbox: 0.1907 d2.dn_loss_iou: 0.2586 d3.dn_loss_cls: 0.1112 d3.dn_loss_bbox: 0.1824 d3.dn_loss_iou: 0.2524 d4.dn_loss_cls: 0.1052 d4.dn_loss_bbox: 0.1808 d4.dn_loss_iou: 0.2509 d1.loss_lmm_region: 0.1760 loss_lmm_image: 0.8409 +2024/11/07 13:02:29 - mmengine - INFO - Iter(train) [ 30900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:42:07 time: 1.0133 data_time: 0.0164 memory: 23418 grad_norm: nan loss: 10.2896 loss_cls: 0.2875 loss_bbox: 0.1642 loss_iou: 0.2942 d0.loss_cls: 0.3212 d0.loss_bbox: 0.1829 d0.loss_iou: 0.3128 d1.loss_cls: 0.2976 d1.loss_bbox: 0.1759 d1.loss_iou: 0.3039 d2.loss_cls: 0.2956 d2.loss_bbox: 0.1696 d2.loss_iou: 0.2964 d3.loss_cls: 0.2933 d3.loss_bbox: 0.1657 d3.loss_iou: 0.2936 d4.loss_cls: 0.2871 d4.loss_bbox: 0.1656 d4.loss_iou: 0.2955 enc_loss_cls: 0.3421 enc_loss_bbox: 0.1935 enc_loss_iou: 0.3286 dn_loss_cls: 0.0858 dn_loss_bbox: 0.2011 dn_loss_iou: 0.2559 d0.dn_loss_cls: 0.1813 d0.dn_loss_bbox: 0.3578 d0.dn_loss_iou: 0.4051 d1.dn_loss_cls: 0.1221 d1.dn_loss_bbox: 0.2366 d1.dn_loss_iou: 0.2895 d2.dn_loss_cls: 0.1064 d2.dn_loss_bbox: 0.2092 d2.dn_loss_iou: 0.2636 d3.dn_loss_cls: 0.0939 d3.dn_loss_bbox: 0.2018 d3.dn_loss_iou: 0.2569 d4.dn_loss_cls: 0.0872 d4.dn_loss_bbox: 0.2012 d4.dn_loss_iou: 0.2560 d1.loss_lmm_region: 0.1905 loss_lmm_image: 0.8209 +2024/11/07 13:04:11 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/07 13:04:11 - mmengine - INFO - Iter(train) [ 31000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:40:13 time: 1.0164 data_time: 0.0165 memory: 23506 grad_norm: 20.2345 loss: 10.2498 loss_cls: 0.3231 loss_bbox: 0.1545 loss_iou: 0.2820 d0.loss_cls: 0.3608 d0.loss_bbox: 0.1673 d0.loss_iou: 0.2966 d1.loss_cls: 0.3471 d1.loss_bbox: 0.1571 d1.loss_iou: 0.2847 d2.loss_cls: 0.3374 d2.loss_bbox: 0.1544 d2.loss_iou: 0.2804 d3.loss_cls: 0.3290 d3.loss_bbox: 0.1561 d3.loss_iou: 0.2836 d4.loss_cls: 0.3278 d4.loss_bbox: 0.1529 d4.loss_iou: 0.2799 enc_loss_cls: 0.3842 enc_loss_bbox: 0.1795 enc_loss_iou: 0.3144 dn_loss_cls: 0.0958 dn_loss_bbox: 0.1701 dn_loss_iou: 0.2459 d0.dn_loss_cls: 0.1913 d0.dn_loss_bbox: 0.3378 d0.dn_loss_iou: 0.4116 d1.dn_loss_cls: 0.1284 d1.dn_loss_bbox: 0.2086 d1.dn_loss_iou: 0.2838 d2.dn_loss_cls: 0.1123 d2.dn_loss_bbox: 0.1820 d2.dn_loss_iou: 0.2567 d3.dn_loss_cls: 0.1031 d3.dn_loss_bbox: 0.1722 d3.dn_loss_iou: 0.2476 d4.dn_loss_cls: 0.0974 d4.dn_loss_bbox: 0.1703 d4.dn_loss_iou: 0.2459 d1.loss_lmm_region: 0.1691 loss_lmm_image: 0.8673 +2024/11/07 13:05:54 - mmengine - INFO - Iter(train) [ 31100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:38:21 time: 1.0322 data_time: 0.0166 memory: 22974 grad_norm: 25.4650 loss: 9.0027 loss_cls: 0.3033 loss_bbox: 0.1207 loss_iou: 0.2115 d0.loss_cls: 0.3382 d0.loss_bbox: 0.1320 d0.loss_iou: 0.2295 d1.loss_cls: 0.3240 d1.loss_bbox: 0.1255 d1.loss_iou: 0.2204 d2.loss_cls: 0.3202 d2.loss_bbox: 0.1214 d2.loss_iou: 0.2128 d3.loss_cls: 0.3162 d3.loss_bbox: 0.1212 d3.loss_iou: 0.2122 d4.loss_cls: 0.3060 d4.loss_bbox: 0.1211 d4.loss_iou: 0.2123 enc_loss_cls: 0.3507 enc_loss_bbox: 0.1536 enc_loss_iou: 0.2471 dn_loss_cls: 0.1328 dn_loss_bbox: 0.1437 dn_loss_iou: 0.1916 d0.dn_loss_cls: 0.2000 d0.dn_loss_bbox: 0.2814 d0.dn_loss_iou: 0.3354 d1.dn_loss_cls: 0.1499 d1.dn_loss_bbox: 0.1718 d1.dn_loss_iou: 0.2239 d2.dn_loss_cls: 0.1400 d2.dn_loss_bbox: 0.1507 d2.dn_loss_iou: 0.1991 d3.dn_loss_cls: 0.1336 d3.dn_loss_bbox: 0.1445 d3.dn_loss_iou: 0.1928 d4.dn_loss_cls: 0.1324 d4.dn_loss_bbox: 0.1437 d4.dn_loss_iou: 0.1914 d1.loss_lmm_region: 0.1729 loss_lmm_image: 0.8709 +2024/11/07 13:07:37 - mmengine - INFO - Iter(train) [ 31200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:36:28 time: 1.0262 data_time: 0.0166 memory: 23465 grad_norm: 23.1994 loss: 10.7894 loss_cls: 0.3275 loss_bbox: 0.1873 loss_iou: 0.3152 d0.loss_cls: 0.3678 d0.loss_bbox: 0.2048 d0.loss_iou: 0.3292 d1.loss_cls: 0.3605 d1.loss_bbox: 0.1853 d1.loss_iou: 0.3192 d2.loss_cls: 0.3461 d2.loss_bbox: 0.1862 d2.loss_iou: 0.3158 d3.loss_cls: 0.3377 d3.loss_bbox: 0.1860 d3.loss_iou: 0.3141 d4.loss_cls: 0.3319 d4.loss_bbox: 0.1857 d4.loss_iou: 0.3132 enc_loss_cls: 0.3822 enc_loss_bbox: 0.2149 enc_loss_iou: 0.3494 dn_loss_cls: 0.1019 dn_loss_bbox: 0.1854 dn_loss_iou: 0.2453 d0.dn_loss_cls: 0.1880 d0.dn_loss_bbox: 0.3385 d0.dn_loss_iou: 0.3975 d1.dn_loss_cls: 0.1354 d1.dn_loss_bbox: 0.2224 d1.dn_loss_iou: 0.2804 d2.dn_loss_cls: 0.1185 d2.dn_loss_bbox: 0.1962 d2.dn_loss_iou: 0.2545 d3.dn_loss_cls: 0.1091 d3.dn_loss_bbox: 0.1864 d3.dn_loss_iou: 0.2464 d4.dn_loss_cls: 0.1039 d4.dn_loss_bbox: 0.1855 d4.dn_loss_iou: 0.2452 d1.loss_lmm_region: 0.1616 loss_lmm_image: 0.8273 +2024/11/07 13:09:20 - mmengine - INFO - Iter(train) [ 31300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:34:37 time: 1.0317 data_time: 0.0166 memory: 23788 grad_norm: 20.4950 loss: 11.0482 loss_cls: 0.3220 loss_bbox: 0.1914 loss_iou: 0.2946 d0.loss_cls: 0.3660 d0.loss_bbox: 0.2046 d0.loss_iou: 0.3072 d1.loss_cls: 0.3450 d1.loss_bbox: 0.1915 d1.loss_iou: 0.2974 d2.loss_cls: 0.3355 d2.loss_bbox: 0.1904 d2.loss_iou: 0.2945 d3.loss_cls: 0.3290 d3.loss_bbox: 0.1883 d3.loss_iou: 0.2928 d4.loss_cls: 0.3230 d4.loss_bbox: 0.1908 d4.loss_iou: 0.2945 enc_loss_cls: 0.3841 enc_loss_bbox: 0.2160 enc_loss_iou: 0.3304 dn_loss_cls: 0.1055 dn_loss_bbox: 0.2311 dn_loss_iou: 0.2610 d0.dn_loss_cls: 0.1936 d0.dn_loss_bbox: 0.3962 d0.dn_loss_iou: 0.4157 d1.dn_loss_cls: 0.1388 d1.dn_loss_bbox: 0.2646 d1.dn_loss_iou: 0.2951 d2.dn_loss_cls: 0.1207 d2.dn_loss_bbox: 0.2416 d2.dn_loss_iou: 0.2708 d3.dn_loss_cls: 0.1110 d3.dn_loss_bbox: 0.2330 d3.dn_loss_iou: 0.2625 d4.dn_loss_cls: 0.1067 d4.dn_loss_bbox: 0.2311 d4.dn_loss_iou: 0.2610 d1.loss_lmm_region: 0.1989 loss_lmm_image: 0.8200 +2024/11/07 13:11:02 - mmengine - INFO - Iter(train) [ 31400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:32:41 time: 1.0235 data_time: 0.0167 memory: 23546 grad_norm: 26.2351 loss: 10.5684 loss_cls: 0.3494 loss_bbox: 0.1597 loss_iou: 0.2852 d0.loss_cls: 0.3873 d0.loss_bbox: 0.1757 d0.loss_iou: 0.3041 d1.loss_cls: 0.3630 d1.loss_bbox: 0.1667 d1.loss_iou: 0.2945 d2.loss_cls: 0.3582 d2.loss_bbox: 0.1645 d2.loss_iou: 0.2882 d3.loss_cls: 0.3540 d3.loss_bbox: 0.1601 d3.loss_iou: 0.2849 d4.loss_cls: 0.3524 d4.loss_bbox: 0.1598 d4.loss_iou: 0.2843 enc_loss_cls: 0.4109 enc_loss_bbox: 0.1884 enc_loss_iou: 0.3205 dn_loss_cls: 0.1099 dn_loss_bbox: 0.1795 dn_loss_iou: 0.2352 d0.dn_loss_cls: 0.2001 d0.dn_loss_bbox: 0.3349 d0.dn_loss_iou: 0.3898 d1.dn_loss_cls: 0.1398 d1.dn_loss_bbox: 0.2148 d1.dn_loss_iou: 0.2700 d2.dn_loss_cls: 0.1188 d2.dn_loss_bbox: 0.1887 d2.dn_loss_iou: 0.2446 d3.dn_loss_cls: 0.1157 d3.dn_loss_bbox: 0.1809 d3.dn_loss_iou: 0.2363 d4.dn_loss_cls: 0.1107 d4.dn_loss_bbox: 0.1795 d4.dn_loss_iou: 0.2352 d1.loss_lmm_region: 0.2053 loss_lmm_image: 0.8668 +2024/11/07 13:12:46 - mmengine - INFO - Iter(train) [ 31500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:30:52 time: 1.0313 data_time: 0.0167 memory: 24631 grad_norm: 21.0378 loss: 9.5432 loss_cls: 0.3018 loss_bbox: 0.1456 loss_iou: 0.2366 d0.loss_cls: 0.3289 d0.loss_bbox: 0.1612 d0.loss_iou: 0.2560 d1.loss_cls: 0.3150 d1.loss_bbox: 0.1501 d1.loss_iou: 0.2436 d2.loss_cls: 0.3104 d2.loss_bbox: 0.1463 d2.loss_iou: 0.2380 d3.loss_cls: 0.3080 d3.loss_bbox: 0.1435 d3.loss_iou: 0.2349 d4.loss_cls: 0.3047 d4.loss_bbox: 0.1433 d4.loss_iou: 0.2361 enc_loss_cls: 0.3464 enc_loss_bbox: 0.1782 enc_loss_iou: 0.2812 dn_loss_cls: 0.0881 dn_loss_bbox: 0.1804 dn_loss_iou: 0.2102 d0.dn_loss_cls: 0.1753 d0.dn_loss_bbox: 0.3513 d0.dn_loss_iou: 0.3661 d1.dn_loss_cls: 0.1199 d1.dn_loss_bbox: 0.2242 d1.dn_loss_iou: 0.2492 d2.dn_loss_cls: 0.1012 d2.dn_loss_bbox: 0.1927 d2.dn_loss_iou: 0.2209 d3.dn_loss_cls: 0.0936 d3.dn_loss_bbox: 0.1813 d3.dn_loss_iou: 0.2115 d4.dn_loss_cls: 0.0889 d4.dn_loss_bbox: 0.1802 d4.dn_loss_iou: 0.2101 d1.loss_lmm_region: 0.1779 loss_lmm_image: 0.9105 +2024/11/07 13:14:29 - mmengine - INFO - Iter(train) [ 31600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:28:59 time: 1.0224 data_time: 0.0170 memory: 23246 grad_norm: 20.9897 loss: 9.3525 loss_cls: 0.2625 loss_bbox: 0.1381 loss_iou: 0.2426 d0.loss_cls: 0.2977 d0.loss_bbox: 0.1554 d0.loss_iou: 0.2636 d1.loss_cls: 0.2736 d1.loss_bbox: 0.1442 d1.loss_iou: 0.2533 d2.loss_cls: 0.2686 d2.loss_bbox: 0.1392 d2.loss_iou: 0.2472 d3.loss_cls: 0.2659 d3.loss_bbox: 0.1359 d3.loss_iou: 0.2429 d4.loss_cls: 0.2629 d4.loss_bbox: 0.1376 d4.loss_iou: 0.2418 enc_loss_cls: 0.3151 enc_loss_bbox: 0.1649 enc_loss_iou: 0.2841 dn_loss_cls: 0.0962 dn_loss_bbox: 0.1776 dn_loss_iou: 0.2268 d0.dn_loss_cls: 0.1797 d0.dn_loss_bbox: 0.3397 d0.dn_loss_iou: 0.3824 d1.dn_loss_cls: 0.1231 d1.dn_loss_bbox: 0.2133 d1.dn_loss_iou: 0.2610 d2.dn_loss_cls: 0.1068 d2.dn_loss_bbox: 0.1866 d2.dn_loss_iou: 0.2363 d3.dn_loss_cls: 0.1008 d3.dn_loss_bbox: 0.1793 d3.dn_loss_iou: 0.2282 d4.dn_loss_cls: 0.0967 d4.dn_loss_bbox: 0.1776 d4.dn_loss_iou: 0.2266 d1.loss_lmm_region: 0.1689 loss_lmm_image: 0.9078 +2024/11/07 13:16:10 - mmengine - INFO - Iter(train) [ 31700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:27:02 time: 1.0144 data_time: 0.0168 memory: 23533 grad_norm: 20.3824 loss: 10.2777 loss_cls: 0.3225 loss_bbox: 0.1530 loss_iou: 0.2762 d0.loss_cls: 0.3597 d0.loss_bbox: 0.1624 d0.loss_iou: 0.2921 d1.loss_cls: 0.3465 d1.loss_bbox: 0.1532 d1.loss_iou: 0.2819 d2.loss_cls: 0.3391 d2.loss_bbox: 0.1499 d2.loss_iou: 0.2761 d3.loss_cls: 0.3252 d3.loss_bbox: 0.1531 d3.loss_iou: 0.2762 d4.loss_cls: 0.3215 d4.loss_bbox: 0.1536 d4.loss_iou: 0.2771 enc_loss_cls: 0.3793 enc_loss_bbox: 0.1680 enc_loss_iou: 0.3085 dn_loss_cls: 0.0865 dn_loss_bbox: 0.2009 dn_loss_iou: 0.2490 d0.dn_loss_cls: 0.1790 d0.dn_loss_bbox: 0.3573 d0.dn_loss_iou: 0.4040 d1.dn_loss_cls: 0.1205 d1.dn_loss_bbox: 0.2350 d1.dn_loss_iou: 0.2820 d2.dn_loss_cls: 0.1001 d2.dn_loss_bbox: 0.2083 d2.dn_loss_iou: 0.2571 d3.dn_loss_cls: 0.0919 d3.dn_loss_bbox: 0.2009 d3.dn_loss_iou: 0.2500 d4.dn_loss_cls: 0.0873 d4.dn_loss_bbox: 0.2009 d4.dn_loss_iou: 0.2489 d1.loss_lmm_region: 0.1915 loss_lmm_image: 0.8513 +2024/11/07 13:17:53 - mmengine - INFO - Iter(train) [ 31800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:25:09 time: 1.0266 data_time: 0.0167 memory: 23897 grad_norm: 24.6452 loss: 9.8978 loss_cls: 0.3495 loss_bbox: 0.1390 loss_iou: 0.2395 d0.loss_cls: 0.3807 d0.loss_bbox: 0.1576 d0.loss_iou: 0.2649 d1.loss_cls: 0.3706 d1.loss_bbox: 0.1408 d1.loss_iou: 0.2481 d2.loss_cls: 0.3632 d2.loss_bbox: 0.1380 d2.loss_iou: 0.2391 d3.loss_cls: 0.3560 d3.loss_bbox: 0.1410 d3.loss_iou: 0.2413 d4.loss_cls: 0.3528 d4.loss_bbox: 0.1369 d4.loss_iou: 0.2386 enc_loss_cls: 0.3944 enc_loss_bbox: 0.1707 enc_loss_iou: 0.2843 dn_loss_cls: 0.1013 dn_loss_bbox: 0.1715 dn_loss_iou: 0.2174 d0.dn_loss_cls: 0.1956 d0.dn_loss_bbox: 0.3234 d0.dn_loss_iou: 0.3656 d1.dn_loss_cls: 0.1395 d1.dn_loss_bbox: 0.1997 d1.dn_loss_iou: 0.2488 d2.dn_loss_cls: 0.1226 d2.dn_loss_bbox: 0.1773 d2.dn_loss_iou: 0.2247 d3.dn_loss_cls: 0.1099 d3.dn_loss_bbox: 0.1723 d3.dn_loss_iou: 0.2182 d4.dn_loss_cls: 0.1029 d4.dn_loss_bbox: 0.1716 d4.dn_loss_iou: 0.2173 d1.loss_lmm_region: 0.1966 loss_lmm_image: 0.8745 +2024/11/07 13:19:35 - mmengine - INFO - Iter(train) [ 31900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:23:14 time: 1.0143 data_time: 0.0166 memory: 22804 grad_norm: 22.8297 loss: 9.9648 loss_cls: 0.2751 loss_bbox: 0.1630 loss_iou: 0.2805 d0.loss_cls: 0.3035 d0.loss_bbox: 0.1810 d0.loss_iou: 0.2978 d1.loss_cls: 0.2944 d1.loss_bbox: 0.1676 d1.loss_iou: 0.2855 d2.loss_cls: 0.2878 d2.loss_bbox: 0.1590 d2.loss_iou: 0.2788 d3.loss_cls: 0.2799 d3.loss_bbox: 0.1630 d3.loss_iou: 0.2806 d4.loss_cls: 0.2736 d4.loss_bbox: 0.1650 d4.loss_iou: 0.2805 enc_loss_cls: 0.3220 enc_loss_bbox: 0.1923 enc_loss_iou: 0.3176 dn_loss_cls: 0.0899 dn_loss_bbox: 0.1887 dn_loss_iou: 0.2428 d0.dn_loss_cls: 0.1699 d0.dn_loss_bbox: 0.3626 d0.dn_loss_iou: 0.3961 d1.dn_loss_cls: 0.1205 d1.dn_loss_bbox: 0.2236 d1.dn_loss_iou: 0.2763 d2.dn_loss_cls: 0.1061 d2.dn_loss_bbox: 0.1962 d2.dn_loss_iou: 0.2505 d3.dn_loss_cls: 0.0938 d3.dn_loss_bbox: 0.1896 d3.dn_loss_iou: 0.2437 d4.dn_loss_cls: 0.0907 d4.dn_loss_bbox: 0.1887 d4.dn_loss_iou: 0.2428 d1.loss_lmm_region: 0.1559 loss_lmm_image: 0.8880 +2024/11/07 13:21:17 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/07 13:21:17 - mmengine - INFO - Iter(train) [ 32000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:21:18 time: 1.0233 data_time: 0.0168 memory: 23043 grad_norm: 20.3156 loss: 9.9847 loss_cls: 0.3174 loss_bbox: 0.1485 loss_iou: 0.2503 d0.loss_cls: 0.3582 d0.loss_bbox: 0.1671 d0.loss_iou: 0.2719 d1.loss_cls: 0.3355 d1.loss_bbox: 0.1624 d1.loss_iou: 0.2623 d2.loss_cls: 0.3297 d2.loss_bbox: 0.1561 d2.loss_iou: 0.2556 d3.loss_cls: 0.3254 d3.loss_bbox: 0.1477 d3.loss_iou: 0.2509 d4.loss_cls: 0.3173 d4.loss_bbox: 0.1481 d4.loss_iou: 0.2503 enc_loss_cls: 0.3794 enc_loss_bbox: 0.1828 enc_loss_iou: 0.2905 dn_loss_cls: 0.0948 dn_loss_bbox: 0.1871 dn_loss_iou: 0.2295 d0.dn_loss_cls: 0.1928 d0.dn_loss_bbox: 0.3469 d0.dn_loss_iou: 0.3852 d1.dn_loss_cls: 0.1270 d1.dn_loss_bbox: 0.2218 d1.dn_loss_iou: 0.2672 d2.dn_loss_cls: 0.1111 d2.dn_loss_bbox: 0.1963 d2.dn_loss_iou: 0.2386 d3.dn_loss_cls: 0.1008 d3.dn_loss_bbox: 0.1879 d3.dn_loss_iou: 0.2310 d4.dn_loss_cls: 0.0965 d4.dn_loss_bbox: 0.1872 d4.dn_loss_iou: 0.2295 d1.loss_lmm_region: 0.2034 loss_lmm_image: 0.8426 +2024/11/07 13:23:00 - mmengine - INFO - Iter(train) [ 32100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:19:25 time: 1.0227 data_time: 0.0168 memory: 22879 grad_norm: 22.4101 loss: 10.5271 loss_cls: 0.3602 loss_bbox: 0.1610 loss_iou: 0.2852 d0.loss_cls: 0.3956 d0.loss_bbox: 0.1733 d0.loss_iou: 0.3007 d1.loss_cls: 0.3739 d1.loss_bbox: 0.1648 d1.loss_iou: 0.2913 d2.loss_cls: 0.3716 d2.loss_bbox: 0.1621 d2.loss_iou: 0.2834 d3.loss_cls: 0.3653 d3.loss_bbox: 0.1590 d3.loss_iou: 0.2845 d4.loss_cls: 0.3635 d4.loss_bbox: 0.1587 d4.loss_iou: 0.2839 enc_loss_cls: 0.4123 enc_loss_bbox: 0.1852 enc_loss_iou: 0.3225 dn_loss_cls: 0.1073 dn_loss_bbox: 0.1748 dn_loss_iou: 0.2282 d0.dn_loss_cls: 0.2011 d0.dn_loss_bbox: 0.3385 d0.dn_loss_iou: 0.3845 d1.dn_loss_cls: 0.1401 d1.dn_loss_bbox: 0.2117 d1.dn_loss_iou: 0.2652 d2.dn_loss_cls: 0.1198 d2.dn_loss_bbox: 0.1854 d2.dn_loss_iou: 0.2385 d3.dn_loss_cls: 0.1115 d3.dn_loss_bbox: 0.1753 d3.dn_loss_iou: 0.2295 d4.dn_loss_cls: 0.1097 d4.dn_loss_bbox: 0.1746 d4.dn_loss_iou: 0.2281 d1.loss_lmm_region: 0.1823 loss_lmm_image: 0.8630 +2024/11/07 13:24:43 - mmengine - INFO - Iter(train) [ 32200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:17:33 time: 1.0269 data_time: 0.0169 memory: 23161 grad_norm: 22.7092 loss: 9.6420 loss_cls: 0.2968 loss_bbox: 0.1346 loss_iou: 0.2666 d0.loss_cls: 0.3366 d0.loss_bbox: 0.1498 d0.loss_iou: 0.2845 d1.loss_cls: 0.3155 d1.loss_bbox: 0.1406 d1.loss_iou: 0.2739 d2.loss_cls: 0.3093 d2.loss_bbox: 0.1313 d2.loss_iou: 0.2678 d3.loss_cls: 0.3017 d3.loss_bbox: 0.1368 d3.loss_iou: 0.2679 d4.loss_cls: 0.2969 d4.loss_bbox: 0.1356 d4.loss_iou: 0.2668 enc_loss_cls: 0.3524 enc_loss_bbox: 0.1612 enc_loss_iou: 0.3061 dn_loss_cls: 0.0881 dn_loss_bbox: 0.1661 dn_loss_iou: 0.2206 d0.dn_loss_cls: 0.1692 d0.dn_loss_bbox: 0.3199 d0.dn_loss_iou: 0.3727 d1.dn_loss_cls: 0.1154 d1.dn_loss_bbox: 0.2045 d1.dn_loss_iou: 0.2559 d2.dn_loss_cls: 0.1009 d2.dn_loss_bbox: 0.1767 d2.dn_loss_iou: 0.2310 d3.dn_loss_cls: 0.0909 d3.dn_loss_bbox: 0.1675 d3.dn_loss_iou: 0.2223 d4.dn_loss_cls: 0.0890 d4.dn_loss_bbox: 0.1662 d4.dn_loss_iou: 0.2206 d1.loss_lmm_region: 0.1713 loss_lmm_image: 0.9602 +2024/11/07 13:26:25 - mmengine - INFO - Iter(train) [ 32300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:15:39 time: 1.0222 data_time: 0.0169 memory: 23292 grad_norm: 21.9957 loss: 9.8275 loss_cls: 0.3013 loss_bbox: 0.1437 loss_iou: 0.2882 d0.loss_cls: 0.3352 d0.loss_bbox: 0.1595 d0.loss_iou: 0.3029 d1.loss_cls: 0.3133 d1.loss_bbox: 0.1521 d1.loss_iou: 0.2934 d2.loss_cls: 0.3108 d2.loss_bbox: 0.1456 d2.loss_iou: 0.2886 d3.loss_cls: 0.3034 d3.loss_bbox: 0.1453 d3.loss_iou: 0.2894 d4.loss_cls: 0.3034 d4.loss_bbox: 0.1440 d4.loss_iou: 0.2877 enc_loss_cls: 0.3524 enc_loss_bbox: 0.1674 enc_loss_iou: 0.3158 dn_loss_cls: 0.1021 dn_loss_bbox: 0.1608 dn_loss_iou: 0.2172 d0.dn_loss_cls: 0.1745 d0.dn_loss_bbox: 0.3287 d0.dn_loss_iou: 0.3706 d1.dn_loss_cls: 0.1294 d1.dn_loss_bbox: 0.1974 d1.dn_loss_iou: 0.2526 d2.dn_loss_cls: 0.1166 d2.dn_loss_bbox: 0.1722 d2.dn_loss_iou: 0.2273 d3.dn_loss_cls: 0.1096 d3.dn_loss_bbox: 0.1615 d3.dn_loss_iou: 0.2182 d4.dn_loss_cls: 0.1022 d4.dn_loss_bbox: 0.1610 d4.dn_loss_iou: 0.2171 d1.loss_lmm_region: 0.1514 loss_lmm_image: 0.9134 +2024/11/07 13:28:07 - mmengine - INFO - Iter(train) [ 32400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:13:44 time: 1.0201 data_time: 0.0169 memory: 23723 grad_norm: 22.0619 loss: 9.8025 loss_cls: 0.3205 loss_bbox: 0.1370 loss_iou: 0.2745 d0.loss_cls: 0.3587 d0.loss_bbox: 0.1458 d0.loss_iou: 0.2879 d1.loss_cls: 0.3345 d1.loss_bbox: 0.1433 d1.loss_iou: 0.2778 d2.loss_cls: 0.3281 d2.loss_bbox: 0.1380 d2.loss_iou: 0.2749 d3.loss_cls: 0.3279 d3.loss_bbox: 0.1362 d3.loss_iou: 0.2731 d4.loss_cls: 0.3232 d4.loss_bbox: 0.1366 d4.loss_iou: 0.2745 enc_loss_cls: 0.3779 enc_loss_bbox: 0.1604 enc_loss_iou: 0.3103 dn_loss_cls: 0.0979 dn_loss_bbox: 0.1586 dn_loss_iou: 0.2168 d0.dn_loss_cls: 0.1872 d0.dn_loss_bbox: 0.3152 d0.dn_loss_iou: 0.3725 d1.dn_loss_cls: 0.1261 d1.dn_loss_bbox: 0.1941 d1.dn_loss_iou: 0.2533 d2.dn_loss_cls: 0.1107 d2.dn_loss_bbox: 0.1668 d2.dn_loss_iou: 0.2266 d3.dn_loss_cls: 0.1014 d3.dn_loss_bbox: 0.1591 d3.dn_loss_iou: 0.2184 d4.dn_loss_cls: 0.0991 d4.dn_loss_bbox: 0.1588 d4.dn_loss_iou: 0.2169 d1.loss_lmm_region: 0.1881 loss_lmm_image: 0.8937 +2024/11/07 13:29:49 - mmengine - INFO - Iter(train) [ 32500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:11:52 time: 1.0355 data_time: 0.0168 memory: 23518 grad_norm: 20.7142 loss: 9.5753 loss_cls: 0.2948 loss_bbox: 0.1445 loss_iou: 0.2463 d0.loss_cls: 0.3279 d0.loss_bbox: 0.1618 d0.loss_iou: 0.2667 d1.loss_cls: 0.3141 d1.loss_bbox: 0.1515 d1.loss_iou: 0.2526 d2.loss_cls: 0.3083 d2.loss_bbox: 0.1439 d2.loss_iou: 0.2470 d3.loss_cls: 0.3014 d3.loss_bbox: 0.1435 d3.loss_iou: 0.2431 d4.loss_cls: 0.2963 d4.loss_bbox: 0.1455 d4.loss_iou: 0.2458 enc_loss_cls: 0.3471 enc_loss_bbox: 0.1738 enc_loss_iou: 0.2831 dn_loss_cls: 0.0970 dn_loss_bbox: 0.1668 dn_loss_iou: 0.2267 d0.dn_loss_cls: 0.1846 d0.dn_loss_bbox: 0.3372 d0.dn_loss_iou: 0.3887 d1.dn_loss_cls: 0.1281 d1.dn_loss_bbox: 0.2025 d1.dn_loss_iou: 0.2644 d2.dn_loss_cls: 0.1116 d2.dn_loss_bbox: 0.1760 d2.dn_loss_iou: 0.2369 d3.dn_loss_cls: 0.1026 d3.dn_loss_bbox: 0.1677 d3.dn_loss_iou: 0.2281 d4.dn_loss_cls: 0.0978 d4.dn_loss_bbox: 0.1667 d4.dn_loss_iou: 0.2267 d1.loss_lmm_region: 0.1790 loss_lmm_image: 0.8474 +2024/11/07 13:31:32 - mmengine - INFO - Iter(train) [ 32600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:09:59 time: 1.0249 data_time: 0.0169 memory: 23538 grad_norm: 24.9347 loss: 9.7949 loss_cls: 0.3052 loss_bbox: 0.1476 loss_iou: 0.2812 d0.loss_cls: 0.3344 d0.loss_bbox: 0.1604 d0.loss_iou: 0.2972 d1.loss_cls: 0.3214 d1.loss_bbox: 0.1503 d1.loss_iou: 0.2794 d2.loss_cls: 0.3142 d2.loss_bbox: 0.1470 d2.loss_iou: 0.2789 d3.loss_cls: 0.3102 d3.loss_bbox: 0.1452 d3.loss_iou: 0.2806 d4.loss_cls: 0.3068 d4.loss_bbox: 0.1469 d4.loss_iou: 0.2797 enc_loss_cls: 0.3560 enc_loss_bbox: 0.1688 enc_loss_iou: 0.3138 dn_loss_cls: 0.0908 dn_loss_bbox: 0.1740 dn_loss_iou: 0.2250 d0.dn_loss_cls: 0.1701 d0.dn_loss_bbox: 0.3281 d0.dn_loss_iou: 0.3826 d1.dn_loss_cls: 0.1190 d1.dn_loss_bbox: 0.2105 d1.dn_loss_iou: 0.2633 d2.dn_loss_cls: 0.1039 d2.dn_loss_bbox: 0.1846 d2.dn_loss_iou: 0.2356 d3.dn_loss_cls: 0.0967 d3.dn_loss_bbox: 0.1759 d3.dn_loss_iou: 0.2271 d4.dn_loss_cls: 0.0916 d4.dn_loss_bbox: 0.1739 d4.dn_loss_iou: 0.2249 d1.loss_lmm_region: 0.1587 loss_lmm_image: 0.8333 +2024/11/07 13:33:14 - mmengine - INFO - Iter(train) [ 32700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:08:06 time: 1.0246 data_time: 0.0169 memory: 24088 grad_norm: 20.1395 loss: 10.2586 loss_cls: 0.3228 loss_bbox: 0.1557 loss_iou: 0.2754 d0.loss_cls: 0.3643 d0.loss_bbox: 0.1655 d0.loss_iou: 0.2975 d1.loss_cls: 0.3371 d1.loss_bbox: 0.1597 d1.loss_iou: 0.2842 d2.loss_cls: 0.3296 d2.loss_bbox: 0.1564 d2.loss_iou: 0.2794 d3.loss_cls: 0.3247 d3.loss_bbox: 0.1557 d3.loss_iou: 0.2787 d4.loss_cls: 0.3261 d4.loss_bbox: 0.1549 d4.loss_iou: 0.2753 enc_loss_cls: 0.3766 enc_loss_bbox: 0.1796 enc_loss_iou: 0.3200 dn_loss_cls: 0.1074 dn_loss_bbox: 0.1851 dn_loss_iou: 0.2244 d0.dn_loss_cls: 0.2070 d0.dn_loss_bbox: 0.3567 d0.dn_loss_iou: 0.3776 d1.dn_loss_cls: 0.1479 d1.dn_loss_bbox: 0.2201 d1.dn_loss_iou: 0.2570 d2.dn_loss_cls: 0.1277 d2.dn_loss_bbox: 0.1958 d2.dn_loss_iou: 0.2331 d3.dn_loss_cls: 0.1156 d3.dn_loss_bbox: 0.1875 d3.dn_loss_iou: 0.2261 d4.dn_loss_cls: 0.1092 d4.dn_loss_bbox: 0.1854 d4.dn_loss_iou: 0.2244 d1.loss_lmm_region: 0.1843 loss_lmm_image: 0.8668 +2024/11/07 13:34:56 - mmengine - INFO - Iter(train) [ 32800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:06:11 time: 1.0148 data_time: 0.0170 memory: 22884 grad_norm: 22.6062 loss: 9.3358 loss_cls: 0.2812 loss_bbox: 0.1427 loss_iou: 0.2269 d0.loss_cls: 0.3147 d0.loss_bbox: 0.1524 d0.loss_iou: 0.2410 d1.loss_cls: 0.2974 d1.loss_bbox: 0.1489 d1.loss_iou: 0.2339 d2.loss_cls: 0.2899 d2.loss_bbox: 0.1446 d2.loss_iou: 0.2275 d3.loss_cls: 0.2846 d3.loss_bbox: 0.1423 d3.loss_iou: 0.2247 d4.loss_cls: 0.2804 d4.loss_bbox: 0.1440 d4.loss_iou: 0.2266 enc_loss_cls: 0.3372 enc_loss_bbox: 0.1662 enc_loss_iou: 0.2613 dn_loss_cls: 0.0977 dn_loss_bbox: 0.1887 dn_loss_iou: 0.2121 d0.dn_loss_cls: 0.1836 d0.dn_loss_bbox: 0.3492 d0.dn_loss_iou: 0.3613 d1.dn_loss_cls: 0.1276 d1.dn_loss_bbox: 0.2269 d1.dn_loss_iou: 0.2460 d2.dn_loss_cls: 0.1109 d2.dn_loss_bbox: 0.1983 d2.dn_loss_iou: 0.2218 d3.dn_loss_cls: 0.1027 d3.dn_loss_bbox: 0.1902 d3.dn_loss_iou: 0.2133 d4.dn_loss_cls: 0.0989 d4.dn_loss_bbox: 0.1886 d4.dn_loss_iou: 0.2120 d1.loss_lmm_region: 0.1697 loss_lmm_image: 0.8682 +2024/11/07 13:36:39 - mmengine - INFO - Iter(train) [ 32900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:04:20 time: 1.0233 data_time: 0.0171 memory: 23742 grad_norm: 20.4480 loss: 9.5293 loss_cls: 0.2632 loss_bbox: 0.1454 loss_iou: 0.2420 d0.loss_cls: 0.2941 d0.loss_bbox: 0.1625 d0.loss_iou: 0.2688 d1.loss_cls: 0.2782 d1.loss_bbox: 0.1522 d1.loss_iou: 0.2512 d2.loss_cls: 0.2702 d2.loss_bbox: 0.1463 d2.loss_iou: 0.2443 d3.loss_cls: 0.2650 d3.loss_bbox: 0.1460 d3.loss_iou: 0.2428 d4.loss_cls: 0.2635 d4.loss_bbox: 0.1457 d4.loss_iou: 0.2420 enc_loss_cls: 0.3198 enc_loss_bbox: 0.1742 enc_loss_iou: 0.2875 dn_loss_cls: 0.0833 dn_loss_bbox: 0.1980 dn_loss_iou: 0.2413 d0.dn_loss_cls: 0.1765 d0.dn_loss_bbox: 0.3617 d0.dn_loss_iou: 0.4012 d1.dn_loss_cls: 0.1180 d1.dn_loss_bbox: 0.2400 d1.dn_loss_iou: 0.2805 d2.dn_loss_cls: 0.0992 d2.dn_loss_bbox: 0.2091 d2.dn_loss_iou: 0.2509 d3.dn_loss_cls: 0.0887 d3.dn_loss_bbox: 0.2000 d3.dn_loss_iou: 0.2434 d4.dn_loss_cls: 0.0838 d4.dn_loss_bbox: 0.1980 d4.dn_loss_iou: 0.2413 d1.loss_lmm_region: 0.1891 loss_lmm_image: 0.8203 +2024/11/07 13:38:22 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/07 13:38:22 - mmengine - INFO - Iter(train) [ 33000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:02:28 time: 1.0169 data_time: 0.0170 memory: 23911 grad_norm: 20.3322 loss: 9.8919 loss_cls: 0.3037 loss_bbox: 0.1499 loss_iou: 0.2736 d0.loss_cls: 0.3378 d0.loss_bbox: 0.1706 d0.loss_iou: 0.2953 d1.loss_cls: 0.3189 d1.loss_bbox: 0.1611 d1.loss_iou: 0.2808 d2.loss_cls: 0.3110 d2.loss_bbox: 0.1544 d2.loss_iou: 0.2750 d3.loss_cls: 0.3097 d3.loss_bbox: 0.1487 d3.loss_iou: 0.2728 d4.loss_cls: 0.3043 d4.loss_bbox: 0.1505 d4.loss_iou: 0.2731 enc_loss_cls: 0.3567 enc_loss_bbox: 0.1887 enc_loss_iou: 0.3215 dn_loss_cls: 0.0868 dn_loss_bbox: 0.1825 dn_loss_iou: 0.2293 d0.dn_loss_cls: 0.1715 d0.dn_loss_bbox: 0.3349 d0.dn_loss_iou: 0.3756 d1.dn_loss_cls: 0.1166 d1.dn_loss_bbox: 0.2219 d1.dn_loss_iou: 0.2632 d2.dn_loss_cls: 0.1004 d2.dn_loss_bbox: 0.1929 d2.dn_loss_iou: 0.2385 d3.dn_loss_cls: 0.0905 d3.dn_loss_bbox: 0.1845 d3.dn_loss_iou: 0.2310 d4.dn_loss_cls: 0.0869 d4.dn_loss_bbox: 0.1826 d4.dn_loss_iou: 0.2293 d1.loss_lmm_region: 0.1454 loss_lmm_image: 0.8696 +2024/11/07 13:40:04 - mmengine - INFO - Iter(train) [ 33100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:00:33 time: 1.0228 data_time: 0.0171 memory: 23281 grad_norm: 21.4497 loss: 8.3589 loss_cls: 0.2547 loss_bbox: 0.1134 loss_iou: 0.2351 d0.loss_cls: 0.2855 d0.loss_bbox: 0.1201 d0.loss_iou: 0.2439 d1.loss_cls: 0.2710 d1.loss_bbox: 0.1157 d1.loss_iou: 0.2363 d2.loss_cls: 0.2650 d2.loss_bbox: 0.1127 d2.loss_iou: 0.2343 d3.loss_cls: 0.2593 d3.loss_bbox: 0.1132 d3.loss_iou: 0.2340 d4.loss_cls: 0.2541 d4.loss_bbox: 0.1137 d4.loss_iou: 0.2356 enc_loss_cls: 0.3091 enc_loss_bbox: 0.1311 enc_loss_iou: 0.2584 dn_loss_cls: 0.0868 dn_loss_bbox: 0.1291 dn_loss_iou: 0.1941 d0.dn_loss_cls: 0.1587 d0.dn_loss_bbox: 0.2756 d0.dn_loss_iou: 0.3402 d1.dn_loss_cls: 0.1091 d1.dn_loss_bbox: 0.1643 d1.dn_loss_iou: 0.2285 d2.dn_loss_cls: 0.0976 d2.dn_loss_bbox: 0.1368 d2.dn_loss_iou: 0.2030 d3.dn_loss_cls: 0.0898 d3.dn_loss_bbox: 0.1303 d3.dn_loss_iou: 0.1960 d4.dn_loss_cls: 0.0882 d4.dn_loss_bbox: 0.1290 d4.dn_loss_iou: 0.1938 d1.loss_lmm_region: 0.1495 loss_lmm_image: 0.8622 +2024/11/07 13:41:47 - mmengine - INFO - Iter(train) [ 33200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:58:41 time: 1.0217 data_time: 0.0169 memory: 23789 grad_norm: 22.4617 loss: 9.7220 loss_cls: 0.3124 loss_bbox: 0.1435 loss_iou: 0.2548 d0.loss_cls: 0.3450 d0.loss_bbox: 0.1574 d0.loss_iou: 0.2740 d1.loss_cls: 0.3270 d1.loss_bbox: 0.1475 d1.loss_iou: 0.2609 d2.loss_cls: 0.3193 d2.loss_bbox: 0.1437 d2.loss_iou: 0.2564 d3.loss_cls: 0.3133 d3.loss_bbox: 0.1440 d3.loss_iou: 0.2548 d4.loss_cls: 0.3119 d4.loss_bbox: 0.1435 d4.loss_iou: 0.2542 enc_loss_cls: 0.3602 enc_loss_bbox: 0.1765 enc_loss_iou: 0.3015 dn_loss_cls: 0.1033 dn_loss_bbox: 0.1576 dn_loss_iou: 0.2219 d0.dn_loss_cls: 0.1998 d0.dn_loss_bbox: 0.3296 d0.dn_loss_iou: 0.3808 d1.dn_loss_cls: 0.1391 d1.dn_loss_bbox: 0.1944 d1.dn_loss_iou: 0.2560 d2.dn_loss_cls: 0.1192 d2.dn_loss_bbox: 0.1677 d2.dn_loss_iou: 0.2317 d3.dn_loss_cls: 0.1094 d3.dn_loss_bbox: 0.1597 d3.dn_loss_iou: 0.2240 d4.dn_loss_cls: 0.1051 d4.dn_loss_bbox: 0.1576 d4.dn_loss_iou: 0.2219 d1.loss_lmm_region: 0.1783 loss_lmm_image: 0.8630 +2024/11/07 13:43:30 - mmengine - INFO - Iter(train) [ 33300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:56:51 time: 1.0331 data_time: 0.0170 memory: 22856 grad_norm: 22.3678 loss: 8.3092 loss_cls: 0.2761 loss_bbox: 0.1112 loss_iou: 0.2303 d0.loss_cls: 0.3053 d0.loss_bbox: 0.1212 d0.loss_iou: 0.2421 d1.loss_cls: 0.2931 d1.loss_bbox: 0.1124 d1.loss_iou: 0.2312 d2.loss_cls: 0.2827 d2.loss_bbox: 0.1131 d2.loss_iou: 0.2310 d3.loss_cls: 0.2832 d3.loss_bbox: 0.1106 d3.loss_iou: 0.2295 d4.loss_cls: 0.2752 d4.loss_bbox: 0.1129 d4.loss_iou: 0.2321 enc_loss_cls: 0.3141 enc_loss_bbox: 0.1370 enc_loss_iou: 0.2701 dn_loss_cls: 0.0841 dn_loss_bbox: 0.1216 dn_loss_iou: 0.1862 d0.dn_loss_cls: 0.1457 d0.dn_loss_bbox: 0.2585 d0.dn_loss_iou: 0.3236 d1.dn_loss_cls: 0.1050 d1.dn_loss_bbox: 0.1526 d1.dn_loss_iou: 0.2200 d2.dn_loss_cls: 0.0918 d2.dn_loss_bbox: 0.1296 d2.dn_loss_iou: 0.1937 d3.dn_loss_cls: 0.0859 d3.dn_loss_bbox: 0.1230 d3.dn_loss_iou: 0.1874 d4.dn_loss_cls: 0.0832 d4.dn_loss_bbox: 0.1215 d4.dn_loss_iou: 0.1860 d1.loss_lmm_region: 0.1405 loss_lmm_image: 0.8546 +2024/11/07 13:45:13 - mmengine - INFO - Iter(train) [ 33400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:55:00 time: 1.0260 data_time: 0.0170 memory: 23064 grad_norm: 24.2274 loss: 9.5538 loss_cls: 0.3053 loss_bbox: 0.1351 loss_iou: 0.2546 d0.loss_cls: 0.3380 d0.loss_bbox: 0.1468 d0.loss_iou: 0.2732 d1.loss_cls: 0.3198 d1.loss_bbox: 0.1358 d1.loss_iou: 0.2616 d2.loss_cls: 0.3108 d2.loss_bbox: 0.1349 d2.loss_iou: 0.2579 d3.loss_cls: 0.3082 d3.loss_bbox: 0.1320 d3.loss_iou: 0.2541 d4.loss_cls: 0.3077 d4.loss_bbox: 0.1351 d4.loss_iou: 0.2550 enc_loss_cls: 0.3505 enc_loss_bbox: 0.1553 enc_loss_iou: 0.2922 dn_loss_cls: 0.0940 dn_loss_bbox: 0.1642 dn_loss_iou: 0.2330 d0.dn_loss_cls: 0.1830 d0.dn_loss_bbox: 0.3149 d0.dn_loss_iou: 0.3843 d1.dn_loss_cls: 0.1286 d1.dn_loss_bbox: 0.1958 d1.dn_loss_iou: 0.2668 d2.dn_loss_cls: 0.1093 d2.dn_loss_bbox: 0.1717 d2.dn_loss_iou: 0.2412 d3.dn_loss_cls: 0.0977 d3.dn_loss_bbox: 0.1646 d3.dn_loss_iou: 0.2341 d4.dn_loss_cls: 0.0950 d4.dn_loss_bbox: 0.1643 d4.dn_loss_iou: 0.2330 d1.loss_lmm_region: 0.1748 loss_lmm_image: 0.8395 +2024/11/07 13:46:56 - mmengine - INFO - Iter(train) [ 33500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:53:09 time: 1.0262 data_time: 0.0171 memory: 24189 grad_norm: 21.6551 loss: 9.6553 loss_cls: 0.2900 loss_bbox: 0.1416 loss_iou: 0.2498 d0.loss_cls: 0.3202 d0.loss_bbox: 0.1582 d0.loss_iou: 0.2700 d1.loss_cls: 0.2935 d1.loss_bbox: 0.1534 d1.loss_iou: 0.2612 d2.loss_cls: 0.2947 d2.loss_bbox: 0.1466 d2.loss_iou: 0.2557 d3.loss_cls: 0.2951 d3.loss_bbox: 0.1430 d3.loss_iou: 0.2504 d4.loss_cls: 0.2915 d4.loss_bbox: 0.1412 d4.loss_iou: 0.2493 enc_loss_cls: 0.3260 enc_loss_bbox: 0.1707 enc_loss_iou: 0.2899 dn_loss_cls: 0.0855 dn_loss_bbox: 0.1900 dn_loss_iou: 0.2395 d0.dn_loss_cls: 0.1748 d0.dn_loss_bbox: 0.3612 d0.dn_loss_iou: 0.4062 d1.dn_loss_cls: 0.1154 d1.dn_loss_bbox: 0.2306 d1.dn_loss_iou: 0.2791 d2.dn_loss_cls: 0.1006 d2.dn_loss_bbox: 0.1998 d2.dn_loss_iou: 0.2498 d3.dn_loss_cls: 0.0925 d3.dn_loss_bbox: 0.1912 d3.dn_loss_iou: 0.2409 d4.dn_loss_cls: 0.0869 d4.dn_loss_bbox: 0.1900 d4.dn_loss_iou: 0.2395 d1.loss_lmm_region: 0.1541 loss_lmm_image: 0.8358 +2024/11/07 13:48:38 - mmengine - INFO - Iter(train) [ 33600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:51:17 time: 1.0211 data_time: 0.0173 memory: 23321 grad_norm: 20.7248 loss: 9.5149 loss_cls: 0.2910 loss_bbox: 0.1404 loss_iou: 0.2633 d0.loss_cls: 0.3258 d0.loss_bbox: 0.1631 d0.loss_iou: 0.2873 d1.loss_cls: 0.3121 d1.loss_bbox: 0.1477 d1.loss_iou: 0.2705 d2.loss_cls: 0.2989 d2.loss_bbox: 0.1446 d2.loss_iou: 0.2664 d3.loss_cls: 0.2998 d3.loss_bbox: 0.1392 d3.loss_iou: 0.2609 d4.loss_cls: 0.2957 d4.loss_bbox: 0.1381 d4.loss_iou: 0.2616 enc_loss_cls: 0.3529 enc_loss_bbox: 0.1680 enc_loss_iou: 0.3040 dn_loss_cls: 0.0679 dn_loss_bbox: 0.1701 dn_loss_iou: 0.2342 d0.dn_loss_cls: 0.1631 d0.dn_loss_bbox: 0.3291 d0.dn_loss_iou: 0.3910 d1.dn_loss_cls: 0.0990 d1.dn_loss_bbox: 0.2079 d1.dn_loss_iou: 0.2721 d2.dn_loss_cls: 0.0804 d2.dn_loss_bbox: 0.1792 d2.dn_loss_iou: 0.2434 d3.dn_loss_cls: 0.0709 d3.dn_loss_bbox: 0.1719 d3.dn_loss_iou: 0.2356 d4.dn_loss_cls: 0.0683 d4.dn_loss_bbox: 0.1701 d4.dn_loss_iou: 0.2339 d1.loss_lmm_region: 0.1642 loss_lmm_image: 0.8311 +2024/11/07 13:50:21 - mmengine - INFO - Iter(train) [ 33700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:49:26 time: 1.0237 data_time: 0.0170 memory: 23324 grad_norm: 25.2543 loss: 9.4593 loss_cls: 0.3208 loss_bbox: 0.1364 loss_iou: 0.2519 d0.loss_cls: 0.3525 d0.loss_bbox: 0.1521 d0.loss_iou: 0.2684 d1.loss_cls: 0.3364 d1.loss_bbox: 0.1447 d1.loss_iou: 0.2588 d2.loss_cls: 0.3323 d2.loss_bbox: 0.1368 d2.loss_iou: 0.2522 d3.loss_cls: 0.3251 d3.loss_bbox: 0.1372 d3.loss_iou: 0.2508 d4.loss_cls: 0.3238 d4.loss_bbox: 0.1366 d4.loss_iou: 0.2507 enc_loss_cls: 0.3663 enc_loss_bbox: 0.1642 enc_loss_iou: 0.2918 dn_loss_cls: 0.0956 dn_loss_bbox: 0.1536 dn_loss_iou: 0.2110 d0.dn_loss_cls: 0.1949 d0.dn_loss_bbox: 0.3036 d0.dn_loss_iou: 0.3603 d1.dn_loss_cls: 0.1279 d1.dn_loss_bbox: 0.1849 d1.dn_loss_iou: 0.2429 d2.dn_loss_cls: 0.1088 d2.dn_loss_bbox: 0.1613 d2.dn_loss_iou: 0.2190 d3.dn_loss_cls: 0.1029 d3.dn_loss_bbox: 0.1548 d3.dn_loss_iou: 0.2123 d4.dn_loss_cls: 0.0977 d4.dn_loss_bbox: 0.1536 d4.dn_loss_iou: 0.2109 d1.loss_lmm_region: 0.1707 loss_lmm_image: 0.8027 +2024/11/07 13:52:03 - mmengine - INFO - Iter(train) [ 33800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:47:31 time: 1.0127 data_time: 0.0171 memory: 23581 grad_norm: 21.4032 loss: 10.6961 loss_cls: 0.4021 loss_bbox: 0.1592 loss_iou: 0.2860 d0.loss_cls: 0.4459 d0.loss_bbox: 0.1658 d0.loss_iou: 0.2965 d1.loss_cls: 0.4256 d1.loss_bbox: 0.1597 d1.loss_iou: 0.2899 d2.loss_cls: 0.4133 d2.loss_bbox: 0.1577 d2.loss_iou: 0.2872 d3.loss_cls: 0.4054 d3.loss_bbox: 0.1552 d3.loss_iou: 0.2828 d4.loss_cls: 0.4007 d4.loss_bbox: 0.1586 d4.loss_iou: 0.2867 enc_loss_cls: 0.4589 enc_loss_bbox: 0.1856 enc_loss_iou: 0.3254 dn_loss_cls: 0.1034 dn_loss_bbox: 0.1649 dn_loss_iou: 0.2314 d0.dn_loss_cls: 0.1984 d0.dn_loss_bbox: 0.3156 d0.dn_loss_iou: 0.3860 d1.dn_loss_cls: 0.1348 d1.dn_loss_bbox: 0.1970 d1.dn_loss_iou: 0.2648 d2.dn_loss_cls: 0.1154 d2.dn_loss_bbox: 0.1754 d2.dn_loss_iou: 0.2408 d3.dn_loss_cls: 0.1080 d3.dn_loss_bbox: 0.1664 d3.dn_loss_iou: 0.2327 d4.dn_loss_cls: 0.1031 d4.dn_loss_bbox: 0.1649 d4.dn_loss_iou: 0.2312 d1.loss_lmm_region: 0.1692 loss_lmm_image: 0.8446 +2024/11/07 13:53:45 - mmengine - INFO - Iter(train) [ 33900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:45:39 time: 1.0201 data_time: 0.0171 memory: 24297 grad_norm: 28.5694 loss: 9.7767 loss_cls: 0.3337 loss_bbox: 0.1388 loss_iou: 0.2534 d0.loss_cls: 0.3845 d0.loss_bbox: 0.1488 d0.loss_iou: 0.2703 d1.loss_cls: 0.3606 d1.loss_bbox: 0.1363 d1.loss_iou: 0.2583 d2.loss_cls: 0.3491 d2.loss_bbox: 0.1386 d2.loss_iou: 0.2549 d3.loss_cls: 0.3448 d3.loss_bbox: 0.1322 d3.loss_iou: 0.2486 d4.loss_cls: 0.3394 d4.loss_bbox: 0.1370 d4.loss_iou: 0.2524 enc_loss_cls: 0.4012 enc_loss_bbox: 0.1619 enc_loss_iou: 0.2954 dn_loss_cls: 0.0969 dn_loss_bbox: 0.1674 dn_loss_iou: 0.2192 d0.dn_loss_cls: 0.2091 d0.dn_loss_bbox: 0.3012 d0.dn_loss_iou: 0.3655 d1.dn_loss_cls: 0.1422 d1.dn_loss_bbox: 0.1972 d1.dn_loss_iou: 0.2523 d2.dn_loss_cls: 0.1152 d2.dn_loss_bbox: 0.1757 d2.dn_loss_iou: 0.2272 d3.dn_loss_cls: 0.1042 d3.dn_loss_bbox: 0.1695 d3.dn_loss_iou: 0.2206 d4.dn_loss_cls: 0.0973 d4.dn_loss_bbox: 0.1674 d4.dn_loss_iou: 0.2191 d1.loss_lmm_region: 0.1592 loss_lmm_image: 0.8302 +2024/11/07 13:55:27 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/07 13:55:27 - mmengine - INFO - Iter(train) [ 34000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:43:45 time: 1.0194 data_time: 0.0172 memory: 24078 grad_norm: 22.5309 loss: 11.4315 loss_cls: 0.3506 loss_bbox: 0.1873 loss_iou: 0.3347 d0.loss_cls: 0.3802 d0.loss_bbox: 0.2147 d0.loss_iou: 0.3606 d1.loss_cls: 0.3710 d1.loss_bbox: 0.1973 d1.loss_iou: 0.3475 d2.loss_cls: 0.3603 d2.loss_bbox: 0.1902 d2.loss_iou: 0.3373 d3.loss_cls: 0.3585 d3.loss_bbox: 0.1853 d3.loss_iou: 0.3348 d4.loss_cls: 0.3516 d4.loss_bbox: 0.1875 d4.loss_iou: 0.3352 enc_loss_cls: 0.3948 enc_loss_bbox: 0.2280 enc_loss_iou: 0.3848 dn_loss_cls: 0.1019 dn_loss_bbox: 0.2108 dn_loss_iou: 0.2636 d0.dn_loss_cls: 0.1878 d0.dn_loss_bbox: 0.3760 d0.dn_loss_iou: 0.4263 d1.dn_loss_cls: 0.1330 d1.dn_loss_bbox: 0.2469 d1.dn_loss_iou: 0.2999 d2.dn_loss_cls: 0.1154 d2.dn_loss_bbox: 0.2221 d2.dn_loss_iou: 0.2741 d3.dn_loss_cls: 0.1050 d3.dn_loss_bbox: 0.2120 d3.dn_loss_iou: 0.2653 d4.dn_loss_cls: 0.1022 d4.dn_loss_bbox: 0.2109 d4.dn_loss_iou: 0.2636 d1.loss_lmm_region: 0.1488 loss_lmm_image: 0.8736 +2024/11/07 13:57:10 - mmengine - INFO - Iter(train) [ 34100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:41:52 time: 1.0194 data_time: 0.0172 memory: 22908 grad_norm: 24.5682 loss: 10.8808 loss_cls: 0.3343 loss_bbox: 0.1851 loss_iou: 0.3200 d0.loss_cls: 0.3840 d0.loss_bbox: 0.1872 d0.loss_iou: 0.3331 d1.loss_cls: 0.3665 d1.loss_bbox: 0.1773 d1.loss_iou: 0.3225 d2.loss_cls: 0.3551 d2.loss_bbox: 0.1783 d2.loss_iou: 0.3161 d3.loss_cls: 0.3460 d3.loss_bbox: 0.1806 d3.loss_iou: 0.3178 d4.loss_cls: 0.3396 d4.loss_bbox: 0.1808 d4.loss_iou: 0.3173 enc_loss_cls: 0.3997 enc_loss_bbox: 0.2101 enc_loss_iou: 0.3574 dn_loss_cls: 0.0822 dn_loss_bbox: 0.1988 dn_loss_iou: 0.2519 d0.dn_loss_cls: 0.1750 d0.dn_loss_bbox: 0.3638 d0.dn_loss_iou: 0.4220 d1.dn_loss_cls: 0.1191 d1.dn_loss_bbox: 0.2365 d1.dn_loss_iou: 0.2936 d2.dn_loss_cls: 0.1006 d2.dn_loss_bbox: 0.2076 d2.dn_loss_iou: 0.2620 d3.dn_loss_cls: 0.0913 d3.dn_loss_bbox: 0.1992 d3.dn_loss_iou: 0.2529 d4.dn_loss_cls: 0.0834 d4.dn_loss_bbox: 0.1988 d4.dn_loss_iou: 0.2516 d1.loss_lmm_region: 0.1476 loss_lmm_image: 0.8340 +2024/11/07 13:58:52 - mmengine - INFO - Iter(train) [ 34200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:40:00 time: 1.0183 data_time: 0.0171 memory: 23005 grad_norm: 23.7765 loss: 9.9032 loss_cls: 0.3257 loss_bbox: 0.1342 loss_iou: 0.2584 d0.loss_cls: 0.3685 d0.loss_bbox: 0.1487 d0.loss_iou: 0.2747 d1.loss_cls: 0.3434 d1.loss_bbox: 0.1404 d1.loss_iou: 0.2654 d2.loss_cls: 0.3391 d2.loss_bbox: 0.1331 d2.loss_iou: 0.2606 d3.loss_cls: 0.3343 d3.loss_bbox: 0.1325 d3.loss_iou: 0.2596 d4.loss_cls: 0.3280 d4.loss_bbox: 0.1339 d4.loss_iou: 0.2590 enc_loss_cls: 0.3823 enc_loss_bbox: 0.1610 enc_loss_iou: 0.3011 dn_loss_cls: 0.1055 dn_loss_bbox: 0.1741 dn_loss_iou: 0.2167 d0.dn_loss_cls: 0.1984 d0.dn_loss_bbox: 0.3469 d0.dn_loss_iou: 0.3753 d1.dn_loss_cls: 0.1425 d1.dn_loss_bbox: 0.2126 d1.dn_loss_iou: 0.2528 d2.dn_loss_cls: 0.1268 d2.dn_loss_bbox: 0.1842 d2.dn_loss_iou: 0.2258 d3.dn_loss_cls: 0.1146 d3.dn_loss_bbox: 0.1763 d3.dn_loss_iou: 0.2182 d4.dn_loss_cls: 0.1063 d4.dn_loss_bbox: 0.1741 d4.dn_loss_iou: 0.2165 d1.loss_lmm_region: 0.1717 loss_lmm_image: 0.8794 +2024/11/07 14:00:34 - mmengine - INFO - Iter(train) [ 34300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:38:07 time: 1.0186 data_time: 0.0172 memory: 23750 grad_norm: 20.2469 loss: 11.5793 loss_cls: 0.3517 loss_bbox: 0.1905 loss_iou: 0.3587 d0.loss_cls: 0.4016 d0.loss_bbox: 0.1999 d0.loss_iou: 0.3760 d1.loss_cls: 0.3860 d1.loss_bbox: 0.1884 d1.loss_iou: 0.3590 d2.loss_cls: 0.3688 d2.loss_bbox: 0.1881 d2.loss_iou: 0.3577 d3.loss_cls: 0.3615 d3.loss_bbox: 0.1884 d3.loss_iou: 0.3567 d4.loss_cls: 0.3570 d4.loss_bbox: 0.1886 d4.loss_iou: 0.3572 enc_loss_cls: 0.4213 enc_loss_bbox: 0.2128 enc_loss_iou: 0.3936 dn_loss_cls: 0.1004 dn_loss_bbox: 0.2081 dn_loss_iou: 0.2564 d0.dn_loss_cls: 0.1959 d0.dn_loss_bbox: 0.3627 d0.dn_loss_iou: 0.4097 d1.dn_loss_cls: 0.1408 d1.dn_loss_bbox: 0.2419 d1.dn_loss_iou: 0.2934 d2.dn_loss_cls: 0.1225 d2.dn_loss_bbox: 0.2171 d2.dn_loss_iou: 0.2666 d3.dn_loss_cls: 0.1078 d3.dn_loss_bbox: 0.2098 d3.dn_loss_iou: 0.2582 d4.dn_loss_cls: 0.1019 d4.dn_loss_bbox: 0.2079 d4.dn_loss_iou: 0.2564 d1.loss_lmm_region: 0.1640 loss_lmm_image: 0.8947 +2024/11/07 14:02:17 - mmengine - INFO - Iter(train) [ 34400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:36:15 time: 1.0318 data_time: 0.0170 memory: 24720 grad_norm: 21.3332 loss: 9.5519 loss_cls: 0.2796 loss_bbox: 0.1551 loss_iou: 0.2648 d0.loss_cls: 0.3250 d0.loss_bbox: 0.1696 d0.loss_iou: 0.2818 d1.loss_cls: 0.3049 d1.loss_bbox: 0.1621 d1.loss_iou: 0.2717 d2.loss_cls: 0.2948 d2.loss_bbox: 0.1569 d2.loss_iou: 0.2660 d3.loss_cls: 0.2908 d3.loss_bbox: 0.1553 d3.loss_iou: 0.2640 d4.loss_cls: 0.2840 d4.loss_bbox: 0.1534 d4.loss_iou: 0.2636 enc_loss_cls: 0.3385 enc_loss_bbox: 0.1901 enc_loss_iou: 0.3076 dn_loss_cls: 0.0855 dn_loss_bbox: 0.1629 dn_loss_iou: 0.2216 d0.dn_loss_cls: 0.1757 d0.dn_loss_bbox: 0.3107 d0.dn_loss_iou: 0.3739 d1.dn_loss_cls: 0.1195 d1.dn_loss_bbox: 0.1943 d1.dn_loss_iou: 0.2552 d2.dn_loss_cls: 0.0989 d2.dn_loss_bbox: 0.1691 d2.dn_loss_iou: 0.2291 d3.dn_loss_cls: 0.0900 d3.dn_loss_bbox: 0.1633 d3.dn_loss_iou: 0.2226 d4.dn_loss_cls: 0.0868 d4.dn_loss_bbox: 0.1628 d4.dn_loss_iou: 0.2217 d1.loss_lmm_region: 0.1549 loss_lmm_image: 0.8736 +2024/11/07 14:03:59 - mmengine - INFO - Iter(train) [ 34500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:34:22 time: 1.0149 data_time: 0.0171 memory: 23805 grad_norm: 25.6253 loss: 10.5433 loss_cls: 0.3295 loss_bbox: 0.1594 loss_iou: 0.2913 d0.loss_cls: 0.3691 d0.loss_bbox: 0.1711 d0.loss_iou: 0.3057 d1.loss_cls: 0.3417 d1.loss_bbox: 0.1685 d1.loss_iou: 0.3023 d2.loss_cls: 0.3351 d2.loss_bbox: 0.1633 d2.loss_iou: 0.2955 d3.loss_cls: 0.3378 d3.loss_bbox: 0.1606 d3.loss_iou: 0.2903 d4.loss_cls: 0.3291 d4.loss_bbox: 0.1610 d4.loss_iou: 0.2933 enc_loss_cls: 0.3761 enc_loss_bbox: 0.1898 enc_loss_iou: 0.3357 dn_loss_cls: 0.1169 dn_loss_bbox: 0.1838 dn_loss_iou: 0.2397 d0.dn_loss_cls: 0.2065 d0.dn_loss_bbox: 0.3667 d0.dn_loss_iou: 0.4075 d1.dn_loss_cls: 0.1498 d1.dn_loss_bbox: 0.2279 d1.dn_loss_iou: 0.2783 d2.dn_loss_cls: 0.1319 d2.dn_loss_bbox: 0.2000 d2.dn_loss_iou: 0.2509 d3.dn_loss_cls: 0.1233 d3.dn_loss_bbox: 0.1869 d3.dn_loss_iou: 0.2420 d4.dn_loss_cls: 0.1188 d4.dn_loss_bbox: 0.1838 d4.dn_loss_iou: 0.2397 d1.loss_lmm_region: 0.1551 loss_lmm_image: 0.8275 +2024/11/07 14:05:42 - mmengine - INFO - Iter(train) [ 34600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:32:33 time: 1.0300 data_time: 0.0171 memory: 24320 grad_norm: 24.0913 loss: 10.2884 loss_cls: 0.3033 loss_bbox: 0.1566 loss_iou: 0.2650 d0.loss_cls: 0.3417 d0.loss_bbox: 0.1691 d0.loss_iou: 0.2830 d1.loss_cls: 0.3239 d1.loss_bbox: 0.1604 d1.loss_iou: 0.2702 d2.loss_cls: 0.3172 d2.loss_bbox: 0.1556 d2.loss_iou: 0.2657 d3.loss_cls: 0.3116 d3.loss_bbox: 0.1553 d3.loss_iou: 0.2635 d4.loss_cls: 0.3047 d4.loss_bbox: 0.1561 d4.loss_iou: 0.2637 enc_loss_cls: 0.3565 enc_loss_bbox: 0.1805 enc_loss_iou: 0.3018 dn_loss_cls: 0.1365 dn_loss_bbox: 0.1854 dn_loss_iou: 0.2367 d0.dn_loss_cls: 0.2202 d0.dn_loss_bbox: 0.3529 d0.dn_loss_iou: 0.3915 d1.dn_loss_cls: 0.1784 d1.dn_loss_bbox: 0.2229 d1.dn_loss_iou: 0.2714 d2.dn_loss_cls: 0.1686 d2.dn_loss_bbox: 0.1961 d2.dn_loss_iou: 0.2458 d3.dn_loss_cls: 0.1376 d3.dn_loss_bbox: 0.1866 d3.dn_loss_iou: 0.2375 d4.dn_loss_cls: 0.1349 d4.dn_loss_bbox: 0.1853 d4.dn_loss_iou: 0.2366 d1.loss_lmm_region: 0.1985 loss_lmm_image: 0.8592 +2024/11/07 14:07:24 - mmengine - INFO - Iter(train) [ 34700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:30:39 time: 1.0247 data_time: 0.0173 memory: 24134 grad_norm: 23.0210 loss: 9.3279 loss_cls: 0.2747 loss_bbox: 0.1479 loss_iou: 0.2544 d0.loss_cls: 0.2953 d0.loss_bbox: 0.1734 d0.loss_iou: 0.2819 d1.loss_cls: 0.2863 d1.loss_bbox: 0.1593 d1.loss_iou: 0.2641 d2.loss_cls: 0.2832 d2.loss_bbox: 0.1484 d2.loss_iou: 0.2569 d3.loss_cls: 0.2810 d3.loss_bbox: 0.1475 d3.loss_iou: 0.2543 d4.loss_cls: 0.2764 d4.loss_bbox: 0.1502 d4.loss_iou: 0.2546 enc_loss_cls: 0.3130 enc_loss_bbox: 0.1824 enc_loss_iou: 0.2991 dn_loss_cls: 0.0726 dn_loss_bbox: 0.1747 dn_loss_iou: 0.2239 d0.dn_loss_cls: 0.1570 d0.dn_loss_bbox: 0.3270 d0.dn_loss_iou: 0.3756 d1.dn_loss_cls: 0.1046 d1.dn_loss_bbox: 0.2043 d1.dn_loss_iou: 0.2555 d2.dn_loss_cls: 0.0869 d2.dn_loss_bbox: 0.1824 d2.dn_loss_iou: 0.2317 d3.dn_loss_cls: 0.0780 d3.dn_loss_bbox: 0.1755 d3.dn_loss_iou: 0.2248 d4.dn_loss_cls: 0.0739 d4.dn_loss_bbox: 0.1747 d4.dn_loss_iou: 0.2238 d1.loss_lmm_region: 0.1530 loss_lmm_image: 0.8439 +2024/11/07 14:09:06 - mmengine - INFO - Iter(train) [ 34800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:28:47 time: 1.0264 data_time: 0.0175 memory: 23802 grad_norm: 21.6825 loss: 10.3682 loss_cls: 0.3104 loss_bbox: 0.1799 loss_iou: 0.2774 d0.loss_cls: 0.3440 d0.loss_bbox: 0.1979 d0.loss_iou: 0.2979 d1.loss_cls: 0.3311 d1.loss_bbox: 0.1851 d1.loss_iou: 0.2876 d2.loss_cls: 0.3181 d2.loss_bbox: 0.1795 d2.loss_iou: 0.2805 d3.loss_cls: 0.3172 d3.loss_bbox: 0.1771 d3.loss_iou: 0.2777 d4.loss_cls: 0.3124 d4.loss_bbox: 0.1769 d4.loss_iou: 0.2766 enc_loss_cls: 0.3635 enc_loss_bbox: 0.2059 enc_loss_iou: 0.3168 dn_loss_cls: 0.0927 dn_loss_bbox: 0.2035 dn_loss_iou: 0.2291 d0.dn_loss_cls: 0.1819 d0.dn_loss_bbox: 0.3744 d0.dn_loss_iou: 0.3807 d1.dn_loss_cls: 0.1336 d1.dn_loss_bbox: 0.2400 d1.dn_loss_iou: 0.2633 d2.dn_loss_cls: 0.1104 d2.dn_loss_bbox: 0.2116 d2.dn_loss_iou: 0.2375 d3.dn_loss_cls: 0.0993 d3.dn_loss_bbox: 0.2054 d3.dn_loss_iou: 0.2303 d4.dn_loss_cls: 0.0942 d4.dn_loss_bbox: 0.2034 d4.dn_loss_iou: 0.2290 d1.loss_lmm_region: 0.1722 loss_lmm_image: 0.8621 +2024/11/07 14:10:50 - mmengine - INFO - Iter(train) [ 34900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:26:57 time: 1.0312 data_time: 0.0174 memory: 24419 grad_norm: 21.9139 loss: 10.9990 loss_cls: 0.3992 loss_bbox: 0.1461 loss_iou: 0.3381 d0.loss_cls: 0.4420 d0.loss_bbox: 0.1645 d0.loss_iou: 0.3614 d1.loss_cls: 0.4269 d1.loss_bbox: 0.1577 d1.loss_iou: 0.3514 d2.loss_cls: 0.4187 d2.loss_bbox: 0.1482 d2.loss_iou: 0.3401 d3.loss_cls: 0.4118 d3.loss_bbox: 0.1479 d3.loss_iou: 0.3385 d4.loss_cls: 0.4036 d4.loss_bbox: 0.1461 d4.loss_iou: 0.3381 enc_loss_cls: 0.4619 enc_loss_bbox: 0.1820 enc_loss_iou: 0.3880 dn_loss_cls: 0.1168 dn_loss_bbox: 0.1538 dn_loss_iou: 0.2319 d0.dn_loss_cls: 0.1981 d0.dn_loss_bbox: 0.2753 d0.dn_loss_iou: 0.3705 d1.dn_loss_cls: 0.1478 d1.dn_loss_bbox: 0.1834 d1.dn_loss_iou: 0.2651 d2.dn_loss_cls: 0.1332 d2.dn_loss_bbox: 0.1641 d2.dn_loss_iou: 0.2421 d3.dn_loss_cls: 0.1213 d3.dn_loss_bbox: 0.1547 d3.dn_loss_iou: 0.2331 d4.dn_loss_cls: 0.1166 d4.dn_loss_bbox: 0.1537 d4.dn_loss_iou: 0.2318 d1.loss_lmm_region: 0.1635 loss_lmm_image: 0.8298 +2024/11/07 14:12:31 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/07 14:12:31 - mmengine - INFO - Iter(train) [ 35000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:25:03 time: 1.0130 data_time: 0.0173 memory: 23443 grad_norm: 22.3701 loss: 9.5040 loss_cls: 0.3086 loss_bbox: 0.1346 loss_iou: 0.2791 d0.loss_cls: 0.3377 d0.loss_bbox: 0.1502 d0.loss_iou: 0.3029 d1.loss_cls: 0.3227 d1.loss_bbox: 0.1399 d1.loss_iou: 0.2875 d2.loss_cls: 0.3183 d2.loss_bbox: 0.1351 d2.loss_iou: 0.2820 d3.loss_cls: 0.3143 d3.loss_bbox: 0.1331 d3.loss_iou: 0.2776 d4.loss_cls: 0.3078 d4.loss_bbox: 0.1361 d4.loss_iou: 0.2800 enc_loss_cls: 0.3541 enc_loss_bbox: 0.1646 enc_loss_iou: 0.3261 dn_loss_cls: 0.0912 dn_loss_bbox: 0.1516 dn_loss_iou: 0.2104 d0.dn_loss_cls: 0.1703 d0.dn_loss_bbox: 0.3061 d0.dn_loss_iou: 0.3611 d1.dn_loss_cls: 0.1180 d1.dn_loss_bbox: 0.1863 d1.dn_loss_iou: 0.2448 d2.dn_loss_cls: 0.1040 d2.dn_loss_bbox: 0.1601 d2.dn_loss_iou: 0.2193 d3.dn_loss_cls: 0.0971 d3.dn_loss_bbox: 0.1534 d3.dn_loss_iou: 0.2123 d4.dn_loss_cls: 0.0922 d4.dn_loss_bbox: 0.1516 d4.dn_loss_iou: 0.2103 d1.loss_lmm_region: 0.1493 loss_lmm_image: 0.8228 +2024/11/07 14:14:14 - mmengine - INFO - Iter(train) [ 35100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:23:13 time: 1.0333 data_time: 0.0175 memory: 23962 grad_norm: 24.3713 loss: 9.3509 loss_cls: 0.2979 loss_bbox: 0.1272 loss_iou: 0.2074 d0.loss_cls: 0.3278 d0.loss_bbox: 0.1532 d0.loss_iou: 0.2314 d1.loss_cls: 0.3113 d1.loss_bbox: 0.1377 d1.loss_iou: 0.2172 d2.loss_cls: 0.3032 d2.loss_bbox: 0.1316 d2.loss_iou: 0.2126 d3.loss_cls: 0.3002 d3.loss_bbox: 0.1293 d3.loss_iou: 0.2102 d4.loss_cls: 0.2966 d4.loss_bbox: 0.1291 d4.loss_iou: 0.2104 enc_loss_cls: 0.3336 enc_loss_bbox: 0.1616 enc_loss_iou: 0.2517 dn_loss_cls: 0.1060 dn_loss_bbox: 0.1881 dn_loss_iou: 0.2159 d0.dn_loss_cls: 0.1907 d0.dn_loss_bbox: 0.3668 d0.dn_loss_iou: 0.3765 d1.dn_loss_cls: 0.1350 d1.dn_loss_bbox: 0.2266 d1.dn_loss_iou: 0.2535 d2.dn_loss_cls: 0.1173 d2.dn_loss_bbox: 0.1982 d2.dn_loss_iou: 0.2253 d3.dn_loss_cls: 0.1112 d3.dn_loss_bbox: 0.1900 d3.dn_loss_iou: 0.2176 d4.dn_loss_cls: 0.1068 d4.dn_loss_bbox: 0.1881 d4.dn_loss_iou: 0.2158 d1.loss_lmm_region: 0.1749 loss_lmm_image: 0.8653 +2024/11/07 14:15:57 - mmengine - INFO - Iter(train) [ 35200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:21:23 time: 1.0361 data_time: 0.0176 memory: 23689 grad_norm: 21.6381 loss: 9.4259 loss_cls: 0.3061 loss_bbox: 0.1339 loss_iou: 0.2333 d0.loss_cls: 0.3315 d0.loss_bbox: 0.1610 d0.loss_iou: 0.2651 d1.loss_cls: 0.3191 d1.loss_bbox: 0.1489 d1.loss_iou: 0.2468 d2.loss_cls: 0.3137 d2.loss_bbox: 0.1381 d2.loss_iou: 0.2378 d3.loss_cls: 0.3127 d3.loss_bbox: 0.1336 d3.loss_iou: 0.2355 d4.loss_cls: 0.3060 d4.loss_bbox: 0.1345 d4.loss_iou: 0.2346 enc_loss_cls: 0.3459 enc_loss_bbox: 0.1810 enc_loss_iou: 0.2883 dn_loss_cls: 0.0888 dn_loss_bbox: 0.1691 dn_loss_iou: 0.2156 d0.dn_loss_cls: 0.1862 d0.dn_loss_bbox: 0.3183 d0.dn_loss_iou: 0.3666 d1.dn_loss_cls: 0.1257 d1.dn_loss_bbox: 0.1992 d1.dn_loss_iou: 0.2496 d2.dn_loss_cls: 0.1051 d2.dn_loss_bbox: 0.1761 d2.dn_loss_iou: 0.2244 d3.dn_loss_cls: 0.0931 d3.dn_loss_bbox: 0.1698 d3.dn_loss_iou: 0.2173 d4.dn_loss_cls: 0.0889 d4.dn_loss_bbox: 0.1691 d4.dn_loss_iou: 0.2157 d1.loss_lmm_region: 0.1831 loss_lmm_image: 0.8569 +2024/11/07 14:17:40 - mmengine - INFO - Iter(train) [ 35300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:19:34 time: 1.0402 data_time: 0.0174 memory: 23627 grad_norm: 22.0029 loss: 10.7562 loss_cls: 0.3569 loss_bbox: 0.1502 loss_iou: 0.3099 d0.loss_cls: 0.3914 d0.loss_bbox: 0.1669 d0.loss_iou: 0.3311 d1.loss_cls: 0.3754 d1.loss_bbox: 0.1589 d1.loss_iou: 0.3214 d2.loss_cls: 0.3688 d2.loss_bbox: 0.1552 d2.loss_iou: 0.3160 d3.loss_cls: 0.3643 d3.loss_bbox: 0.1515 d3.loss_iou: 0.3121 d4.loss_cls: 0.3573 d4.loss_bbox: 0.1529 d4.loss_iou: 0.3119 enc_loss_cls: 0.4214 enc_loss_bbox: 0.1762 enc_loss_iou: 0.3447 dn_loss_cls: 0.0995 dn_loss_bbox: 0.1832 dn_loss_iou: 0.2426 d0.dn_loss_cls: 0.1995 d0.dn_loss_bbox: 0.3409 d0.dn_loss_iou: 0.3927 d1.dn_loss_cls: 0.1385 d1.dn_loss_bbox: 0.2201 d1.dn_loss_iou: 0.2755 d2.dn_loss_cls: 0.1198 d2.dn_loss_bbox: 0.1930 d2.dn_loss_iou: 0.2513 d3.dn_loss_cls: 0.1055 d3.dn_loss_bbox: 0.1857 d3.dn_loss_iou: 0.2445 d4.dn_loss_cls: 0.1010 d4.dn_loss_bbox: 0.1832 d4.dn_loss_iou: 0.2425 d1.loss_lmm_region: 0.1815 loss_lmm_image: 0.8614 +2024/11/07 14:19:23 - mmengine - INFO - Iter(train) [ 35400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:17:43 time: 1.0338 data_time: 0.0175 memory: 22754 grad_norm: 22.2103 loss: 11.2274 loss_cls: 0.3493 loss_bbox: 0.1836 loss_iou: 0.3394 d0.loss_cls: 0.3889 d0.loss_bbox: 0.2011 d0.loss_iou: 0.3559 d1.loss_cls: 0.3612 d1.loss_bbox: 0.1950 d1.loss_iou: 0.3497 d2.loss_cls: 0.3572 d2.loss_bbox: 0.1882 d2.loss_iou: 0.3448 d3.loss_cls: 0.3523 d3.loss_bbox: 0.1822 d3.loss_iou: 0.3400 d4.loss_cls: 0.3511 d4.loss_bbox: 0.1834 d4.loss_iou: 0.3382 enc_loss_cls: 0.4020 enc_loss_bbox: 0.2092 enc_loss_iou: 0.3755 dn_loss_cls: 0.1023 dn_loss_bbox: 0.1917 dn_loss_iou: 0.2618 d0.dn_loss_cls: 0.1907 d0.dn_loss_bbox: 0.3332 d0.dn_loss_iou: 0.4174 d1.dn_loss_cls: 0.1353 d1.dn_loss_bbox: 0.2237 d1.dn_loss_iou: 0.2932 d2.dn_loss_cls: 0.1190 d2.dn_loss_bbox: 0.2006 d2.dn_loss_iou: 0.2703 d3.dn_loss_cls: 0.1098 d3.dn_loss_bbox: 0.1930 d3.dn_loss_iou: 0.2628 d4.dn_loss_cls: 0.1039 d4.dn_loss_bbox: 0.1917 d4.dn_loss_iou: 0.2617 d1.loss_lmm_region: 0.1738 loss_lmm_image: 0.8431 +2024/11/07 14:21:06 - mmengine - INFO - Iter(train) [ 35500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:15:54 time: 1.0282 data_time: 0.0175 memory: 23569 grad_norm: 21.0198 loss: 10.2666 loss_cls: 0.3525 loss_bbox: 0.1532 loss_iou: 0.2748 d0.loss_cls: 0.3954 d0.loss_bbox: 0.1703 d0.loss_iou: 0.3035 d1.loss_cls: 0.3793 d1.loss_bbox: 0.1548 d1.loss_iou: 0.2847 d2.loss_cls: 0.3688 d2.loss_bbox: 0.1567 d2.loss_iou: 0.2802 d3.loss_cls: 0.3636 d3.loss_bbox: 0.1531 d3.loss_iou: 0.2764 d4.loss_cls: 0.3553 d4.loss_bbox: 0.1527 d4.loss_iou: 0.2748 enc_loss_cls: 0.4192 enc_loss_bbox: 0.1816 enc_loss_iou: 0.3271 dn_loss_cls: 0.0982 dn_loss_bbox: 0.1618 dn_loss_iou: 0.2211 d0.dn_loss_cls: 0.1844 d0.dn_loss_bbox: 0.3120 d0.dn_loss_iou: 0.3703 d1.dn_loss_cls: 0.1324 d1.dn_loss_bbox: 0.1942 d1.dn_loss_iou: 0.2553 d2.dn_loss_cls: 0.1165 d2.dn_loss_bbox: 0.1695 d2.dn_loss_iou: 0.2294 d3.dn_loss_cls: 0.1061 d3.dn_loss_bbox: 0.1629 d3.dn_loss_iou: 0.2222 d4.dn_loss_cls: 0.0997 d4.dn_loss_bbox: 0.1619 d4.dn_loss_iou: 0.2210 d1.loss_lmm_region: 0.1715 loss_lmm_image: 0.8976 +2024/11/07 14:22:48 - mmengine - INFO - Iter(train) [ 35600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:14:01 time: 1.0178 data_time: 0.0175 memory: 23027 grad_norm: 22.5069 loss: 10.5739 loss_cls: 0.3541 loss_bbox: 0.1580 loss_iou: 0.2994 d0.loss_cls: 0.3855 d0.loss_bbox: 0.1758 d0.loss_iou: 0.3247 d1.loss_cls: 0.3670 d1.loss_bbox: 0.1658 d1.loss_iou: 0.3151 d2.loss_cls: 0.3629 d2.loss_bbox: 0.1603 d2.loss_iou: 0.3051 d3.loss_cls: 0.3577 d3.loss_bbox: 0.1572 d3.loss_iou: 0.3019 d4.loss_cls: 0.3527 d4.loss_bbox: 0.1572 d4.loss_iou: 0.2995 enc_loss_cls: 0.4100 enc_loss_bbox: 0.1847 enc_loss_iou: 0.3421 dn_loss_cls: 0.1061 dn_loss_bbox: 0.1693 dn_loss_iou: 0.2388 d0.dn_loss_cls: 0.1984 d0.dn_loss_bbox: 0.3222 d0.dn_loss_iou: 0.3889 d1.dn_loss_cls: 0.1430 d1.dn_loss_bbox: 0.2073 d1.dn_loss_iou: 0.2744 d2.dn_loss_cls: 0.1244 d2.dn_loss_bbox: 0.1811 d2.dn_loss_iou: 0.2489 d3.dn_loss_cls: 0.1118 d3.dn_loss_bbox: 0.1714 d3.dn_loss_iou: 0.2403 d4.dn_loss_cls: 0.1064 d4.dn_loss_bbox: 0.1693 d4.dn_loss_iou: 0.2387 d1.loss_lmm_region: 0.1664 loss_lmm_image: 0.8302 +2024/11/07 14:24:31 - mmengine - INFO - Iter(train) [ 35700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:12:10 time: 1.0227 data_time: 0.0175 memory: 23226 grad_norm: 20.7325 loss: 9.9816 loss_cls: 0.3031 loss_bbox: 0.1511 loss_iou: 0.2723 d0.loss_cls: 0.3344 d0.loss_bbox: 0.1726 d0.loss_iou: 0.3042 d1.loss_cls: 0.3111 d1.loss_bbox: 0.1568 d1.loss_iou: 0.2849 d2.loss_cls: 0.3084 d2.loss_bbox: 0.1525 d2.loss_iou: 0.2749 d3.loss_cls: 0.3065 d3.loss_bbox: 0.1494 d3.loss_iou: 0.2713 d4.loss_cls: 0.3049 d4.loss_bbox: 0.1509 d4.loss_iou: 0.2717 enc_loss_cls: 0.3429 enc_loss_bbox: 0.1832 enc_loss_iou: 0.3249 dn_loss_cls: 0.0834 dn_loss_bbox: 0.1848 dn_loss_iou: 0.2446 d0.dn_loss_cls: 0.1654 d0.dn_loss_bbox: 0.3407 d0.dn_loss_iou: 0.4045 d1.dn_loss_cls: 0.1131 d1.dn_loss_bbox: 0.2166 d1.dn_loss_iou: 0.2798 d2.dn_loss_cls: 0.0994 d2.dn_loss_bbox: 0.1912 d2.dn_loss_iou: 0.2528 d3.dn_loss_cls: 0.0892 d3.dn_loss_bbox: 0.1853 d3.dn_loss_iou: 0.2459 d4.dn_loss_cls: 0.0844 d4.dn_loss_bbox: 0.1847 d4.dn_loss_iou: 0.2445 d1.loss_lmm_region: 0.1448 loss_lmm_image: 0.8945 +2024/11/07 14:26:14 - mmengine - INFO - Iter(train) [ 35800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:10:20 time: 1.0205 data_time: 0.0174 memory: 23624 grad_norm: 22.1571 loss: 9.8825 loss_cls: 0.2999 loss_bbox: 0.1448 loss_iou: 0.2443 d0.loss_cls: 0.3408 d0.loss_bbox: 0.1614 d0.loss_iou: 0.2592 d1.loss_cls: 0.3150 d1.loss_bbox: 0.1497 d1.loss_iou: 0.2501 d2.loss_cls: 0.3106 d2.loss_bbox: 0.1475 d2.loss_iou: 0.2442 d3.loss_cls: 0.3062 d3.loss_bbox: 0.1446 d3.loss_iou: 0.2416 d4.loss_cls: 0.3018 d4.loss_bbox: 0.1441 d4.loss_iou: 0.2442 enc_loss_cls: 0.3601 enc_loss_bbox: 0.1772 enc_loss_iou: 0.2802 dn_loss_cls: 0.1003 dn_loss_bbox: 0.2070 dn_loss_iou: 0.2292 d0.dn_loss_cls: 0.1972 d0.dn_loss_bbox: 0.3713 d0.dn_loss_iou: 0.3736 d1.dn_loss_cls: 0.1344 d1.dn_loss_bbox: 0.2430 d1.dn_loss_iou: 0.2611 d2.dn_loss_cls: 0.1173 d2.dn_loss_bbox: 0.2167 d2.dn_loss_iou: 0.2365 d3.dn_loss_cls: 0.1070 d3.dn_loss_bbox: 0.2086 d3.dn_loss_iou: 0.2307 d4.dn_loss_cls: 0.1011 d4.dn_loss_bbox: 0.2068 d4.dn_loss_iou: 0.2291 d1.loss_lmm_region: 0.1692 loss_lmm_image: 0.8748 +2024/11/07 14:27:56 - mmengine - INFO - Iter(train) [ 35900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:08:28 time: 1.0227 data_time: 0.0173 memory: 23107 grad_norm: 25.8188 loss: 9.7183 loss_cls: 0.2857 loss_bbox: 0.1420 loss_iou: 0.2786 d0.loss_cls: 0.3065 d0.loss_bbox: 0.1612 d0.loss_iou: 0.2986 d1.loss_cls: 0.2991 d1.loss_bbox: 0.1470 d1.loss_iou: 0.2852 d2.loss_cls: 0.2973 d2.loss_bbox: 0.1389 d2.loss_iou: 0.2785 d3.loss_cls: 0.2915 d3.loss_bbox: 0.1432 d3.loss_iou: 0.2792 d4.loss_cls: 0.2902 d4.loss_bbox: 0.1431 d4.loss_iou: 0.2789 enc_loss_cls: 0.3218 enc_loss_bbox: 0.1742 enc_loss_iou: 0.3204 dn_loss_cls: 0.0846 dn_loss_bbox: 0.1845 dn_loss_iou: 0.2342 d0.dn_loss_cls: 0.1670 d0.dn_loss_bbox: 0.3414 d0.dn_loss_iou: 0.3855 d1.dn_loss_cls: 0.1166 d1.dn_loss_bbox: 0.2135 d1.dn_loss_iou: 0.2678 d2.dn_loss_cls: 0.1016 d2.dn_loss_bbox: 0.1892 d2.dn_loss_iou: 0.2422 d3.dn_loss_cls: 0.0911 d3.dn_loss_bbox: 0.1852 d3.dn_loss_iou: 0.2356 d4.dn_loss_cls: 0.0858 d4.dn_loss_bbox: 0.1845 d4.dn_loss_iou: 0.2341 d1.loss_lmm_region: 0.1355 loss_lmm_image: 0.8774 +2024/11/07 14:29:39 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/07 14:29:39 - mmengine - INFO - Iter(train) [ 36000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:06:37 time: 1.0194 data_time: 0.0173 memory: 24223 grad_norm: 21.0483 loss: 8.6056 loss_cls: 0.2393 loss_bbox: 0.1017 loss_iou: 0.1750 d0.loss_cls: 0.2672 d0.loss_bbox: 0.1172 d0.loss_iou: 0.1921 d1.loss_cls: 0.2497 d1.loss_bbox: 0.1118 d1.loss_iou: 0.1818 d2.loss_cls: 0.2457 d2.loss_bbox: 0.1084 d2.loss_iou: 0.1783 d3.loss_cls: 0.2438 d3.loss_bbox: 0.1015 d3.loss_iou: 0.1756 d4.loss_cls: 0.2378 d4.loss_bbox: 0.1061 d4.loss_iou: 0.1763 enc_loss_cls: 0.2776 enc_loss_bbox: 0.1349 enc_loss_iou: 0.2106 dn_loss_cls: 0.1061 dn_loss_bbox: 0.2099 dn_loss_iou: 0.2193 d0.dn_loss_cls: 0.1839 d0.dn_loss_bbox: 0.3733 d0.dn_loss_iou: 0.3712 d1.dn_loss_cls: 0.1335 d1.dn_loss_bbox: 0.2463 d1.dn_loss_iou: 0.2548 d2.dn_loss_cls: 0.1182 d2.dn_loss_bbox: 0.2206 d2.dn_loss_iou: 0.2280 d3.dn_loss_cls: 0.1091 d3.dn_loss_bbox: 0.2121 d3.dn_loss_iou: 0.2209 d4.dn_loss_cls: 0.1061 d4.dn_loss_bbox: 0.2099 d4.dn_loss_iou: 0.2193 d1.loss_lmm_region: 0.1610 loss_lmm_image: 0.8698 +2024/11/07 14:31:21 - mmengine - INFO - Iter(train) [ 36100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:04:47 time: 1.0239 data_time: 0.0174 memory: 23231 grad_norm: 22.0767 loss: 9.8408 loss_cls: 0.3388 loss_bbox: 0.1319 loss_iou: 0.2644 d0.loss_cls: 0.3791 d0.loss_bbox: 0.1462 d0.loss_iou: 0.2806 d1.loss_cls: 0.3554 d1.loss_bbox: 0.1386 d1.loss_iou: 0.2677 d2.loss_cls: 0.3466 d2.loss_bbox: 0.1378 d2.loss_iou: 0.2672 d3.loss_cls: 0.3426 d3.loss_bbox: 0.1327 d3.loss_iou: 0.2646 d4.loss_cls: 0.3382 d4.loss_bbox: 0.1335 d4.loss_iou: 0.2654 enc_loss_cls: 0.3832 enc_loss_bbox: 0.1668 enc_loss_iou: 0.3139 dn_loss_cls: 0.1082 dn_loss_bbox: 0.1589 dn_loss_iou: 0.2177 d0.dn_loss_cls: 0.1903 d0.dn_loss_bbox: 0.3129 d0.dn_loss_iou: 0.3758 d1.dn_loss_cls: 0.1372 d1.dn_loss_bbox: 0.1876 d1.dn_loss_iou: 0.2513 d2.dn_loss_cls: 0.1220 d2.dn_loss_bbox: 0.1665 d2.dn_loss_iou: 0.2256 d3.dn_loss_cls: 0.1149 d3.dn_loss_bbox: 0.1595 d3.dn_loss_iou: 0.2187 d4.dn_loss_cls: 0.1089 d4.dn_loss_bbox: 0.1587 d4.dn_loss_iou: 0.2175 d1.loss_lmm_region: 0.1495 loss_lmm_image: 0.8643 +2024/11/07 14:33:04 - mmengine - INFO - Iter(train) [ 36200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:02:56 time: 1.0150 data_time: 0.0175 memory: 23585 grad_norm: 24.0618 loss: 9.7661 loss_cls: 0.3206 loss_bbox: 0.1425 loss_iou: 0.2960 d0.loss_cls: 0.3570 d0.loss_bbox: 0.1595 d0.loss_iou: 0.3138 d1.loss_cls: 0.3341 d1.loss_bbox: 0.1535 d1.loss_iou: 0.3079 d2.loss_cls: 0.3303 d2.loss_bbox: 0.1456 d2.loss_iou: 0.2971 d3.loss_cls: 0.3273 d3.loss_bbox: 0.1437 d3.loss_iou: 0.2953 d4.loss_cls: 0.3217 d4.loss_bbox: 0.1424 d4.loss_iou: 0.2963 enc_loss_cls: 0.3710 enc_loss_bbox: 0.1759 enc_loss_iou: 0.3389 dn_loss_cls: 0.0696 dn_loss_bbox: 0.1470 dn_loss_iou: 0.2226 d0.dn_loss_cls: 0.1554 d0.dn_loss_bbox: 0.2769 d0.dn_loss_iou: 0.3621 d1.dn_loss_cls: 0.1015 d1.dn_loss_bbox: 0.1770 d1.dn_loss_iou: 0.2533 d2.dn_loss_cls: 0.0855 d2.dn_loss_bbox: 0.1562 d2.dn_loss_iou: 0.2317 d3.dn_loss_cls: 0.0742 d3.dn_loss_bbox: 0.1485 d3.dn_loss_iou: 0.2237 d4.dn_loss_cls: 0.0701 d4.dn_loss_bbox: 0.1471 d4.dn_loss_iou: 0.2225 d1.loss_lmm_region: 0.1619 loss_lmm_image: 0.9087 +2024/11/07 14:34:47 - mmengine - INFO - Iter(train) [ 36300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:01:06 time: 1.0200 data_time: 0.0173 memory: 23231 grad_norm: 21.3397 loss: 10.6044 loss_cls: 0.3315 loss_bbox: 0.1555 loss_iou: 0.2687 d0.loss_cls: 0.3722 d0.loss_bbox: 0.1650 d0.loss_iou: 0.2771 d1.loss_cls: 0.3497 d1.loss_bbox: 0.1609 d1.loss_iou: 0.2747 d2.loss_cls: 0.3424 d2.loss_bbox: 0.1574 d2.loss_iou: 0.2717 d3.loss_cls: 0.3353 d3.loss_bbox: 0.1566 d3.loss_iou: 0.2689 d4.loss_cls: 0.3290 d4.loss_bbox: 0.1574 d4.loss_iou: 0.2691 enc_loss_cls: 0.3826 enc_loss_bbox: 0.1820 enc_loss_iou: 0.3053 dn_loss_cls: 0.1242 dn_loss_bbox: 0.2094 dn_loss_iou: 0.2527 d0.dn_loss_cls: 0.2070 d0.dn_loss_bbox: 0.3707 d0.dn_loss_iou: 0.4071 d1.dn_loss_cls: 0.1505 d1.dn_loss_bbox: 0.2462 d1.dn_loss_iou: 0.2862 d2.dn_loss_cls: 0.1351 d2.dn_loss_bbox: 0.2193 d2.dn_loss_iou: 0.2619 d3.dn_loss_cls: 0.1267 d3.dn_loss_bbox: 0.2113 d3.dn_loss_iou: 0.2544 d4.dn_loss_cls: 0.1248 d4.dn_loss_bbox: 0.2095 d4.dn_loss_iou: 0.2528 d1.loss_lmm_region: 0.1797 loss_lmm_image: 0.8616 +2024/11/07 14:36:30 - mmengine - INFO - Iter(train) [ 36400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:59:17 time: 1.0279 data_time: 0.0175 memory: 24168 grad_norm: 29.1730 loss: 10.7190 loss_cls: 0.3229 loss_bbox: 0.1780 loss_iou: 0.2871 d0.loss_cls: 0.3553 d0.loss_bbox: 0.1945 d0.loss_iou: 0.3076 d1.loss_cls: 0.3351 d1.loss_bbox: 0.1886 d1.loss_iou: 0.2995 d2.loss_cls: 0.3352 d2.loss_bbox: 0.1786 d2.loss_iou: 0.2883 d3.loss_cls: 0.3241 d3.loss_bbox: 0.1812 d3.loss_iou: 0.2912 d4.loss_cls: 0.3232 d4.loss_bbox: 0.1769 d4.loss_iou: 0.2883 enc_loss_cls: 0.3692 enc_loss_bbox: 0.2056 enc_loss_iou: 0.3261 dn_loss_cls: 0.1016 dn_loss_bbox: 0.2073 dn_loss_iou: 0.2451 d0.dn_loss_cls: 0.1990 d0.dn_loss_bbox: 0.3764 d0.dn_loss_iou: 0.4035 d1.dn_loss_cls: 0.1402 d1.dn_loss_bbox: 0.2467 d1.dn_loss_iou: 0.2802 d2.dn_loss_cls: 0.1204 d2.dn_loss_bbox: 0.2154 d2.dn_loss_iou: 0.2539 d3.dn_loss_cls: 0.1075 d3.dn_loss_bbox: 0.2089 d3.dn_loss_iou: 0.2463 d4.dn_loss_cls: 0.1025 d4.dn_loss_bbox: 0.2075 d4.dn_loss_iou: 0.2451 d1.loss_lmm_region: 0.1636 loss_lmm_image: 0.8911 +2024/11/07 14:38:12 - mmengine - INFO - Iter(train) [ 36500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:57:26 time: 1.0188 data_time: 0.0176 memory: 22628 grad_norm: 23.4731 loss: 8.1159 loss_cls: 0.2456 loss_bbox: 0.1040 loss_iou: 0.2146 d0.loss_cls: 0.2722 d0.loss_bbox: 0.1257 d0.loss_iou: 0.2364 d1.loss_cls: 0.2610 d1.loss_bbox: 0.1131 d1.loss_iou: 0.2190 d2.loss_cls: 0.2548 d2.loss_bbox: 0.1044 d2.loss_iou: 0.2144 d3.loss_cls: 0.2525 d3.loss_bbox: 0.1045 d3.loss_iou: 0.2134 d4.loss_cls: 0.2475 d4.loss_bbox: 0.1046 d4.loss_iou: 0.2151 enc_loss_cls: 0.2877 enc_loss_bbox: 0.1348 enc_loss_iou: 0.2558 dn_loss_cls: 0.0737 dn_loss_bbox: 0.1392 dn_loss_iou: 0.1933 d0.dn_loss_cls: 0.1497 d0.dn_loss_bbox: 0.2898 d0.dn_loss_iou: 0.3373 d1.dn_loss_cls: 0.1004 d1.dn_loss_bbox: 0.1735 d1.dn_loss_iou: 0.2249 d2.dn_loss_cls: 0.0843 d2.dn_loss_bbox: 0.1493 d2.dn_loss_iou: 0.2023 d3.dn_loss_cls: 0.0776 d3.dn_loss_bbox: 0.1414 d3.dn_loss_iou: 0.1948 d4.dn_loss_cls: 0.0750 d4.dn_loss_bbox: 0.1391 d4.dn_loss_iou: 0.1932 d1.loss_lmm_region: 0.1555 loss_lmm_image: 0.8406 +2024/11/07 14:39:55 - mmengine - INFO - Iter(train) [ 36600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:55:36 time: 1.0286 data_time: 0.0176 memory: 23748 grad_norm: nan loss: 9.9797 loss_cls: 0.3000 loss_bbox: 0.1558 loss_iou: 0.2669 d0.loss_cls: 0.3329 d0.loss_bbox: 0.1750 d0.loss_iou: 0.2870 d1.loss_cls: 0.3257 d1.loss_bbox: 0.1592 d1.loss_iou: 0.2737 d2.loss_cls: 0.3153 d2.loss_bbox: 0.1530 d2.loss_iou: 0.2695 d3.loss_cls: 0.3103 d3.loss_bbox: 0.1546 d3.loss_iou: 0.2658 d4.loss_cls: 0.3028 d4.loss_bbox: 0.1553 d4.loss_iou: 0.2663 enc_loss_cls: 0.3576 enc_loss_bbox: 0.1862 enc_loss_iou: 0.3092 dn_loss_cls: 0.1039 dn_loss_bbox: 0.1717 dn_loss_iou: 0.2314 d0.dn_loss_cls: 0.1936 d0.dn_loss_bbox: 0.3462 d0.dn_loss_iou: 0.3950 d1.dn_loss_cls: 0.1318 d1.dn_loss_bbox: 0.2056 d1.dn_loss_iou: 0.2684 d2.dn_loss_cls: 0.1198 d2.dn_loss_bbox: 0.1825 d2.dn_loss_iou: 0.2417 d3.dn_loss_cls: 0.1100 d3.dn_loss_bbox: 0.1744 d3.dn_loss_iou: 0.2335 d4.dn_loss_cls: 0.1049 d4.dn_loss_bbox: 0.1718 d4.dn_loss_iou: 0.2313 d1.loss_lmm_region: 0.1648 loss_lmm_image: 0.8755 +2024/11/07 14:41:38 - mmengine - INFO - Iter(train) [ 36700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:53:47 time: 1.0260 data_time: 0.0177 memory: 23906 grad_norm: 22.8769 loss: 8.9342 loss_cls: 0.2898 loss_bbox: 0.1283 loss_iou: 0.2465 d0.loss_cls: 0.3249 d0.loss_bbox: 0.1370 d0.loss_iou: 0.2604 d1.loss_cls: 0.3098 d1.loss_bbox: 0.1304 d1.loss_iou: 0.2495 d2.loss_cls: 0.3012 d2.loss_bbox: 0.1281 d2.loss_iou: 0.2454 d3.loss_cls: 0.2962 d3.loss_bbox: 0.1257 d3.loss_iou: 0.2466 d4.loss_cls: 0.2914 d4.loss_bbox: 0.1254 d4.loss_iou: 0.2467 enc_loss_cls: 0.3409 enc_loss_bbox: 0.1465 enc_loss_iou: 0.2785 dn_loss_cls: 0.0849 dn_loss_bbox: 0.1482 dn_loss_iou: 0.2017 d0.dn_loss_cls: 0.1621 d0.dn_loss_bbox: 0.2914 d0.dn_loss_iou: 0.3400 d1.dn_loss_cls: 0.1113 d1.dn_loss_bbox: 0.1753 d1.dn_loss_iou: 0.2304 d2.dn_loss_cls: 0.0969 d2.dn_loss_bbox: 0.1573 d2.dn_loss_iou: 0.2092 d3.dn_loss_cls: 0.0883 d3.dn_loss_bbox: 0.1511 d3.dn_loss_iou: 0.2035 d4.dn_loss_cls: 0.0849 d4.dn_loss_bbox: 0.1483 d4.dn_loss_iou: 0.2017 d1.loss_lmm_region: 0.1632 loss_lmm_image: 0.8354 +2024/11/07 14:43:21 - mmengine - INFO - Iter(train) [ 36800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:51:59 time: 1.0324 data_time: 0.0176 memory: 23590 grad_norm: 25.0154 loss: 10.0057 loss_cls: 0.3147 loss_bbox: 0.1476 loss_iou: 0.2537 d0.loss_cls: 0.3503 d0.loss_bbox: 0.1655 d0.loss_iou: 0.2766 d1.loss_cls: 0.3341 d1.loss_bbox: 0.1538 d1.loss_iou: 0.2641 d2.loss_cls: 0.3274 d2.loss_bbox: 0.1498 d2.loss_iou: 0.2574 d3.loss_cls: 0.3238 d3.loss_bbox: 0.1460 d3.loss_iou: 0.2549 d4.loss_cls: 0.3163 d4.loss_bbox: 0.1482 d4.loss_iou: 0.2543 enc_loss_cls: 0.3774 enc_loss_bbox: 0.1791 enc_loss_iou: 0.2928 dn_loss_cls: 0.0882 dn_loss_bbox: 0.1913 dn_loss_iou: 0.2247 d0.dn_loss_cls: 0.1798 d0.dn_loss_bbox: 0.3737 d0.dn_loss_iou: 0.3902 d1.dn_loss_cls: 0.1201 d1.dn_loss_bbox: 0.2339 d1.dn_loss_iou: 0.2642 d2.dn_loss_cls: 0.1018 d2.dn_loss_bbox: 0.2042 d2.dn_loss_iou: 0.2352 d3.dn_loss_cls: 0.0938 d3.dn_loss_bbox: 0.1928 d3.dn_loss_iou: 0.2262 d4.dn_loss_cls: 0.0890 d4.dn_loss_bbox: 0.1914 d4.dn_loss_iou: 0.2248 d1.loss_lmm_region: 0.1850 loss_lmm_image: 0.9078 +2024/11/07 14:45:04 - mmengine - INFO - Iter(train) [ 36900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:50:09 time: 1.0252 data_time: 0.0175 memory: 23422 grad_norm: 20.6208 loss: 8.7123 loss_cls: 0.2635 loss_bbox: 0.1220 loss_iou: 0.2115 d0.loss_cls: 0.2766 d0.loss_bbox: 0.1335 d0.loss_iou: 0.2281 d1.loss_cls: 0.2656 d1.loss_bbox: 0.1237 d1.loss_iou: 0.2162 d2.loss_cls: 0.2627 d2.loss_bbox: 0.1239 d2.loss_iou: 0.2129 d3.loss_cls: 0.2616 d3.loss_bbox: 0.1200 d3.loss_iou: 0.2101 d4.loss_cls: 0.2628 d4.loss_bbox: 0.1218 d4.loss_iou: 0.2099 enc_loss_cls: 0.2920 enc_loss_bbox: 0.1463 enc_loss_iou: 0.2468 dn_loss_cls: 0.0997 dn_loss_bbox: 0.1708 dn_loss_iou: 0.2074 d0.dn_loss_cls: 0.1684 d0.dn_loss_bbox: 0.3299 d0.dn_loss_iou: 0.3557 d1.dn_loss_cls: 0.1253 d1.dn_loss_bbox: 0.2074 d1.dn_loss_iou: 0.2406 d2.dn_loss_cls: 0.1105 d2.dn_loss_bbox: 0.1816 d2.dn_loss_iou: 0.2165 d3.dn_loss_cls: 0.1052 d3.dn_loss_bbox: 0.1731 d3.dn_loss_iou: 0.2090 d4.dn_loss_cls: 0.1007 d4.dn_loss_bbox: 0.1710 d4.dn_loss_iou: 0.2074 d1.loss_lmm_region: 0.1423 loss_lmm_image: 0.8785 +2024/11/07 14:46:47 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/07 14:46:47 - mmengine - INFO - Iter(train) [ 37000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:48:18 time: 1.0282 data_time: 0.0176 memory: 23526 grad_norm: 22.4442 loss: 10.3657 loss_cls: 0.3564 loss_bbox: 0.1456 loss_iou: 0.2669 d0.loss_cls: 0.3965 d0.loss_bbox: 0.1672 d0.loss_iou: 0.2900 d1.loss_cls: 0.3882 d1.loss_bbox: 0.1497 d1.loss_iou: 0.2785 d2.loss_cls: 0.3749 d2.loss_bbox: 0.1466 d2.loss_iou: 0.2700 d3.loss_cls: 0.3685 d3.loss_bbox: 0.1436 d3.loss_iou: 0.2673 d4.loss_cls: 0.3625 d4.loss_bbox: 0.1440 d4.loss_iou: 0.2667 enc_loss_cls: 0.4096 enc_loss_bbox: 0.1794 enc_loss_iou: 0.3119 dn_loss_cls: 0.1021 dn_loss_bbox: 0.1803 dn_loss_iou: 0.2325 d0.dn_loss_cls: 0.1901 d0.dn_loss_bbox: 0.3414 d0.dn_loss_iou: 0.3936 d1.dn_loss_cls: 0.1364 d1.dn_loss_bbox: 0.2192 d1.dn_loss_iou: 0.2722 d2.dn_loss_cls: 0.1192 d2.dn_loss_bbox: 0.1900 d2.dn_loss_iou: 0.2432 d3.dn_loss_cls: 0.1076 d3.dn_loss_bbox: 0.1816 d3.dn_loss_iou: 0.2346 d4.dn_loss_cls: 0.1035 d4.dn_loss_bbox: 0.1802 d4.dn_loss_iou: 0.2324 d1.loss_lmm_region: 0.1478 loss_lmm_image: 0.8736 +2024/11/07 14:48:29 - mmengine - INFO - Iter(train) [ 37100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:46:27 time: 1.0275 data_time: 0.0176 memory: 23863 grad_norm: 22.3064 loss: 8.9219 loss_cls: 0.2547 loss_bbox: 0.1212 loss_iou: 0.2430 d0.loss_cls: 0.2740 d0.loss_bbox: 0.1388 d0.loss_iou: 0.2666 d1.loss_cls: 0.2645 d1.loss_bbox: 0.1288 d1.loss_iou: 0.2558 d2.loss_cls: 0.2617 d2.loss_bbox: 0.1213 d2.loss_iou: 0.2468 d3.loss_cls: 0.2594 d3.loss_bbox: 0.1185 d3.loss_iou: 0.2423 d4.loss_cls: 0.2575 d4.loss_bbox: 0.1180 d4.loss_iou: 0.2421 enc_loss_cls: 0.2950 enc_loss_bbox: 0.1518 enc_loss_iou: 0.2853 dn_loss_cls: 0.0809 dn_loss_bbox: 0.1683 dn_loss_iou: 0.2307 d0.dn_loss_cls: 0.1658 d0.dn_loss_bbox: 0.3266 d0.dn_loss_iou: 0.3809 d1.dn_loss_cls: 0.1098 d1.dn_loss_bbox: 0.1992 d1.dn_loss_iou: 0.2622 d2.dn_loss_cls: 0.0932 d2.dn_loss_bbox: 0.1774 d2.dn_loss_iou: 0.2395 d3.dn_loss_cls: 0.0858 d3.dn_loss_bbox: 0.1699 d3.dn_loss_iou: 0.2322 d4.dn_loss_cls: 0.0818 d4.dn_loss_bbox: 0.1682 d4.dn_loss_iou: 0.2307 d1.loss_lmm_region: 0.1486 loss_lmm_image: 0.8231 +2024/11/07 14:50:12 - mmengine - INFO - Iter(train) [ 37200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:44:37 time: 1.0270 data_time: 0.0176 memory: 23953 grad_norm: 22.2340 loss: 8.6680 loss_cls: 0.2540 loss_bbox: 0.1305 loss_iou: 0.2009 d0.loss_cls: 0.2774 d0.loss_bbox: 0.1516 d0.loss_iou: 0.2207 d1.loss_cls: 0.2760 d1.loss_bbox: 0.1332 d1.loss_iou: 0.2056 d2.loss_cls: 0.2658 d2.loss_bbox: 0.1279 d2.loss_iou: 0.2030 d3.loss_cls: 0.2608 d3.loss_bbox: 0.1280 d3.loss_iou: 0.2001 d4.loss_cls: 0.2597 d4.loss_bbox: 0.1272 d4.loss_iou: 0.1992 enc_loss_cls: 0.3049 enc_loss_bbox: 0.1578 enc_loss_iou: 0.2358 dn_loss_cls: 0.1101 dn_loss_bbox: 0.1618 dn_loss_iou: 0.1962 d0.dn_loss_cls: 0.1855 d0.dn_loss_bbox: 0.3202 d0.dn_loss_iou: 0.3385 d1.dn_loss_cls: 0.1335 d1.dn_loss_bbox: 0.1945 d1.dn_loss_iou: 0.2263 d2.dn_loss_cls: 0.1179 d2.dn_loss_bbox: 0.1689 d2.dn_loss_iou: 0.2034 d3.dn_loss_cls: 0.1120 d3.dn_loss_bbox: 0.1627 d3.dn_loss_iou: 0.1974 d4.dn_loss_cls: 0.1093 d4.dn_loss_bbox: 0.1618 d4.dn_loss_iou: 0.1962 d1.loss_lmm_region: 0.1640 loss_lmm_image: 0.8876 +2024/11/07 14:51:55 - mmengine - INFO - Iter(train) [ 37300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:42:48 time: 1.0278 data_time: 0.0178 memory: 24458 grad_norm: 22.1580 loss: 10.4730 loss_cls: 0.3519 loss_bbox: 0.1701 loss_iou: 0.2867 d0.loss_cls: 0.3952 d0.loss_bbox: 0.1868 d0.loss_iou: 0.3078 d1.loss_cls: 0.3725 d1.loss_bbox: 0.1726 d1.loss_iou: 0.2938 d2.loss_cls: 0.3662 d2.loss_bbox: 0.1669 d2.loss_iou: 0.2857 d3.loss_cls: 0.3599 d3.loss_bbox: 0.1701 d3.loss_iou: 0.2875 d4.loss_cls: 0.3541 d4.loss_bbox: 0.1706 d4.loss_iou: 0.2884 enc_loss_cls: 0.4181 enc_loss_bbox: 0.1933 enc_loss_iou: 0.3297 dn_loss_cls: 0.0873 dn_loss_bbox: 0.1735 dn_loss_iou: 0.2294 d0.dn_loss_cls: 0.1766 d0.dn_loss_bbox: 0.3215 d0.dn_loss_iou: 0.3815 d1.dn_loss_cls: 0.1223 d1.dn_loss_bbox: 0.2055 d1.dn_loss_iou: 0.2644 d2.dn_loss_cls: 0.1049 d2.dn_loss_bbox: 0.1825 d2.dn_loss_iou: 0.2390 d3.dn_loss_cls: 0.0935 d3.dn_loss_bbox: 0.1745 d3.dn_loss_iou: 0.2303 d4.dn_loss_cls: 0.0883 d4.dn_loss_bbox: 0.1737 d4.dn_loss_iou: 0.2295 d1.loss_lmm_region: 0.1873 loss_lmm_image: 0.8792 +2024/11/07 14:53:38 - mmengine - INFO - Iter(train) [ 37400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:40:58 time: 1.0293 data_time: 0.0176 memory: 22388 grad_norm: 23.2649 loss: 9.2823 loss_cls: 0.2994 loss_bbox: 0.1426 loss_iou: 0.2884 d0.loss_cls: 0.3305 d0.loss_bbox: 0.1577 d0.loss_iou: 0.3149 d1.loss_cls: 0.3126 d1.loss_bbox: 0.1452 d1.loss_iou: 0.2925 d2.loss_cls: 0.3064 d2.loss_bbox: 0.1420 d2.loss_iou: 0.2882 d3.loss_cls: 0.2999 d3.loss_bbox: 0.1453 d3.loss_iou: 0.2893 d4.loss_cls: 0.2968 d4.loss_bbox: 0.1437 d4.loss_iou: 0.2883 enc_loss_cls: 0.3526 enc_loss_bbox: 0.1733 enc_loss_iou: 0.3371 dn_loss_cls: 0.0566 dn_loss_bbox: 0.1417 dn_loss_iou: 0.2090 d0.dn_loss_cls: 0.1416 d0.dn_loss_bbox: 0.2785 d0.dn_loss_iou: 0.3592 d1.dn_loss_cls: 0.0865 d1.dn_loss_bbox: 0.1675 d1.dn_loss_iou: 0.2409 d2.dn_loss_cls: 0.0698 d2.dn_loss_bbox: 0.1481 d2.dn_loss_iou: 0.2181 d3.dn_loss_cls: 0.0624 d3.dn_loss_bbox: 0.1423 d3.dn_loss_iou: 0.2100 d4.dn_loss_cls: 0.0579 d4.dn_loss_bbox: 0.1418 d4.dn_loss_iou: 0.2090 d1.loss_lmm_region: 0.1393 loss_lmm_image: 0.8556 +2024/11/07 14:55:20 - mmengine - INFO - Iter(train) [ 37500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:39:07 time: 1.0276 data_time: 0.0177 memory: 22992 grad_norm: 24.6896 loss: 9.7592 loss_cls: 0.2768 loss_bbox: 0.1469 loss_iou: 0.2827 d0.loss_cls: 0.3061 d0.loss_bbox: 0.1596 d0.loss_iou: 0.2990 d1.loss_cls: 0.2935 d1.loss_bbox: 0.1512 d1.loss_iou: 0.2874 d2.loss_cls: 0.2870 d2.loss_bbox: 0.1461 d2.loss_iou: 0.2830 d3.loss_cls: 0.2801 d3.loss_bbox: 0.1465 d3.loss_iou: 0.2809 d4.loss_cls: 0.2786 d4.loss_bbox: 0.1457 d4.loss_iou: 0.2814 enc_loss_cls: 0.3180 enc_loss_bbox: 0.1731 enc_loss_iou: 0.3185 dn_loss_cls: 0.0815 dn_loss_bbox: 0.1809 dn_loss_iou: 0.2390 d0.dn_loss_cls: 0.1669 d0.dn_loss_bbox: 0.3673 d0.dn_loss_iou: 0.4070 d1.dn_loss_cls: 0.1109 d1.dn_loss_bbox: 0.2236 d1.dn_loss_iou: 0.2777 d2.dn_loss_cls: 0.0942 d2.dn_loss_bbox: 0.1909 d2.dn_loss_iou: 0.2494 d3.dn_loss_cls: 0.0842 d3.dn_loss_bbox: 0.1826 d3.dn_loss_iou: 0.2407 d4.dn_loss_cls: 0.0817 d4.dn_loss_bbox: 0.1809 d4.dn_loss_iou: 0.2388 d1.loss_lmm_region: 0.1212 loss_lmm_image: 0.8978 +2024/11/07 14:57:02 - mmengine - INFO - Iter(train) [ 37600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:37:15 time: 1.0184 data_time: 0.0177 memory: 24305 grad_norm: 22.8332 loss: 8.5198 loss_cls: 0.2393 loss_bbox: 0.1187 loss_iou: 0.2108 d0.loss_cls: 0.2678 d0.loss_bbox: 0.1261 d0.loss_iou: 0.2198 d1.loss_cls: 0.2502 d1.loss_bbox: 0.1222 d1.loss_iou: 0.2138 d2.loss_cls: 0.2450 d2.loss_bbox: 0.1197 d2.loss_iou: 0.2111 d3.loss_cls: 0.2441 d3.loss_bbox: 0.1158 d3.loss_iou: 0.2089 d4.loss_cls: 0.2393 d4.loss_bbox: 0.1182 d4.loss_iou: 0.2103 enc_loss_cls: 0.2785 enc_loss_bbox: 0.1430 enc_loss_iou: 0.2441 dn_loss_cls: 0.1024 dn_loss_bbox: 0.1600 dn_loss_iou: 0.2125 d0.dn_loss_cls: 0.1869 d0.dn_loss_bbox: 0.3086 d0.dn_loss_iou: 0.3530 d1.dn_loss_cls: 0.1360 d1.dn_loss_bbox: 0.1875 d1.dn_loss_iou: 0.2402 d2.dn_loss_cls: 0.1183 d2.dn_loss_bbox: 0.1673 d2.dn_loss_iou: 0.2201 d3.dn_loss_cls: 0.1106 d3.dn_loss_bbox: 0.1612 d3.dn_loss_iou: 0.2136 d4.dn_loss_cls: 0.1054 d4.dn_loss_bbox: 0.1599 d4.dn_loss_iou: 0.2124 d1.loss_lmm_region: 0.1809 loss_lmm_image: 0.8362 +2024/11/07 14:58:44 - mmengine - INFO - Iter(train) [ 37700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:35:25 time: 1.0199 data_time: 0.0176 memory: 24208 grad_norm: 22.2347 loss: 10.0396 loss_cls: 0.3182 loss_bbox: 0.1441 loss_iou: 0.2872 d0.loss_cls: 0.3551 d0.loss_bbox: 0.1630 d0.loss_iou: 0.3090 d1.loss_cls: 0.3380 d1.loss_bbox: 0.1477 d1.loss_iou: 0.2891 d2.loss_cls: 0.3320 d2.loss_bbox: 0.1427 d2.loss_iou: 0.2878 d3.loss_cls: 0.3260 d3.loss_bbox: 0.1441 d3.loss_iou: 0.2872 d4.loss_cls: 0.3206 d4.loss_bbox: 0.1450 d4.loss_iou: 0.2862 enc_loss_cls: 0.3806 enc_loss_bbox: 0.1720 enc_loss_iou: 0.3276 dn_loss_cls: 0.0901 dn_loss_bbox: 0.1846 dn_loss_iou: 0.2365 d0.dn_loss_cls: 0.1633 d0.dn_loss_bbox: 0.3319 d0.dn_loss_iou: 0.3860 d1.dn_loss_cls: 0.1176 d1.dn_loss_bbox: 0.2173 d1.dn_loss_iou: 0.2715 d2.dn_loss_cls: 0.1024 d2.dn_loss_bbox: 0.1930 d2.dn_loss_iou: 0.2466 d3.dn_loss_cls: 0.0944 d3.dn_loss_bbox: 0.1856 d3.dn_loss_iou: 0.2381 d4.dn_loss_cls: 0.0899 d4.dn_loss_bbox: 0.1845 d4.dn_loss_iou: 0.2365 d1.loss_lmm_region: 0.1431 loss_lmm_image: 0.8235 +2024/11/07 15:00:27 - mmengine - INFO - Iter(train) [ 37800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:33:34 time: 1.0232 data_time: 0.0176 memory: 23772 grad_norm: 20.2839 loss: 10.2783 loss_cls: 0.3028 loss_bbox: 0.1589 loss_iou: 0.2701 d0.loss_cls: 0.3549 d0.loss_bbox: 0.1663 d0.loss_iou: 0.2849 d1.loss_cls: 0.3319 d1.loss_bbox: 0.1573 d1.loss_iou: 0.2748 d2.loss_cls: 0.3218 d2.loss_bbox: 0.1532 d2.loss_iou: 0.2691 d3.loss_cls: 0.3139 d3.loss_bbox: 0.1528 d3.loss_iou: 0.2676 d4.loss_cls: 0.3049 d4.loss_bbox: 0.1584 d4.loss_iou: 0.2694 enc_loss_cls: 0.3698 enc_loss_bbox: 0.1789 enc_loss_iou: 0.3039 dn_loss_cls: 0.0989 dn_loss_bbox: 0.2027 dn_loss_iou: 0.2541 d0.dn_loss_cls: 0.2020 d0.dn_loss_bbox: 0.3614 d0.dn_loss_iou: 0.4071 d1.dn_loss_cls: 0.1366 d1.dn_loss_bbox: 0.2401 d1.dn_loss_iou: 0.2883 d2.dn_loss_cls: 0.1144 d2.dn_loss_bbox: 0.2127 d2.dn_loss_iou: 0.2632 d3.dn_loss_cls: 0.1047 d3.dn_loss_bbox: 0.2038 d3.dn_loss_iou: 0.2555 d4.dn_loss_cls: 0.0988 d4.dn_loss_bbox: 0.2028 d4.dn_loss_iou: 0.2542 d1.loss_lmm_region: 0.1950 loss_lmm_image: 0.8161 +2024/11/07 15:02:09 - mmengine - INFO - Iter(train) [ 37900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:31:44 time: 1.0243 data_time: 0.0178 memory: 24507 grad_norm: 22.5430 loss: 8.9718 loss_cls: 0.2918 loss_bbox: 0.1174 loss_iou: 0.2048 d0.loss_cls: 0.3274 d0.loss_bbox: 0.1309 d0.loss_iou: 0.2258 d1.loss_cls: 0.3063 d1.loss_bbox: 0.1212 d1.loss_iou: 0.2140 d2.loss_cls: 0.2986 d2.loss_bbox: 0.1212 d2.loss_iou: 0.2105 d3.loss_cls: 0.2965 d3.loss_bbox: 0.1181 d3.loss_iou: 0.2055 d4.loss_cls: 0.2921 d4.loss_bbox: 0.1185 d4.loss_iou: 0.2077 enc_loss_cls: 0.3440 enc_loss_bbox: 0.1445 enc_loss_iou: 0.2432 dn_loss_cls: 0.1012 dn_loss_bbox: 0.1620 dn_loss_iou: 0.2097 d0.dn_loss_cls: 0.1965 d0.dn_loss_bbox: 0.3257 d0.dn_loss_iou: 0.3664 d1.dn_loss_cls: 0.1367 d1.dn_loss_bbox: 0.1995 d1.dn_loss_iou: 0.2472 d2.dn_loss_cls: 0.1178 d2.dn_loss_bbox: 0.1700 d2.dn_loss_iou: 0.2195 d3.dn_loss_cls: 0.1078 d3.dn_loss_bbox: 0.1630 d3.dn_loss_iou: 0.2113 d4.dn_loss_cls: 0.1019 d4.dn_loss_bbox: 0.1619 d4.dn_loss_iou: 0.2097 d1.loss_lmm_region: 0.1578 loss_lmm_image: 0.8661 +2024/11/07 15:03:52 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/07 15:03:52 - mmengine - INFO - Iter(train) [ 38000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:29:53 time: 1.0215 data_time: 0.0178 memory: 22910 grad_norm: 21.7737 loss: 11.0378 loss_cls: 0.3334 loss_bbox: 0.1742 loss_iou: 0.3141 d0.loss_cls: 0.3689 d0.loss_bbox: 0.1920 d0.loss_iou: 0.3393 d1.loss_cls: 0.3484 d1.loss_bbox: 0.1785 d1.loss_iou: 0.3226 d2.loss_cls: 0.3413 d2.loss_bbox: 0.1774 d2.loss_iou: 0.3171 d3.loss_cls: 0.3349 d3.loss_bbox: 0.1785 d3.loss_iou: 0.3177 d4.loss_cls: 0.3353 d4.loss_bbox: 0.1750 d4.loss_iou: 0.3134 enc_loss_cls: 0.3914 enc_loss_bbox: 0.2035 enc_loss_iou: 0.3603 dn_loss_cls: 0.1047 dn_loss_bbox: 0.2016 dn_loss_iou: 0.2504 d0.dn_loss_cls: 0.1940 d0.dn_loss_bbox: 0.3981 d0.dn_loss_iou: 0.4259 d1.dn_loss_cls: 0.1399 d1.dn_loss_bbox: 0.2475 d1.dn_loss_iou: 0.2913 d2.dn_loss_cls: 0.1202 d2.dn_loss_bbox: 0.2166 d2.dn_loss_iou: 0.2614 d3.dn_loss_cls: 0.1120 d3.dn_loss_bbox: 0.2036 d3.dn_loss_iou: 0.2523 d4.dn_loss_cls: 0.1049 d4.dn_loss_bbox: 0.2015 d4.dn_loss_iou: 0.2503 d1.loss_lmm_region: 0.1632 loss_lmm_image: 0.8809 +2024/11/07 15:05:34 - mmengine - INFO - Iter(train) [ 38100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:28:03 time: 1.0213 data_time: 0.0177 memory: 23388 grad_norm: 21.4077 loss: 9.8800 loss_cls: 0.3299 loss_bbox: 0.1521 loss_iou: 0.2745 d0.loss_cls: 0.3623 d0.loss_bbox: 0.1685 d0.loss_iou: 0.2954 d1.loss_cls: 0.3466 d1.loss_bbox: 0.1560 d1.loss_iou: 0.2822 d2.loss_cls: 0.3392 d2.loss_bbox: 0.1519 d2.loss_iou: 0.2758 d3.loss_cls: 0.3364 d3.loss_bbox: 0.1512 d3.loss_iou: 0.2773 d4.loss_cls: 0.3325 d4.loss_bbox: 0.1505 d4.loss_iou: 0.2745 enc_loss_cls: 0.3794 enc_loss_bbox: 0.1758 enc_loss_iou: 0.3109 dn_loss_cls: 0.0820 dn_loss_bbox: 0.1743 dn_loss_iou: 0.2187 d0.dn_loss_cls: 0.1631 d0.dn_loss_bbox: 0.3232 d0.dn_loss_iou: 0.3600 d1.dn_loss_cls: 0.1082 d1.dn_loss_bbox: 0.2088 d1.dn_loss_iou: 0.2514 d2.dn_loss_cls: 0.0929 d2.dn_loss_bbox: 0.1818 d2.dn_loss_iou: 0.2272 d3.dn_loss_cls: 0.0851 d3.dn_loss_bbox: 0.1757 d3.dn_loss_iou: 0.2205 d4.dn_loss_cls: 0.0827 d4.dn_loss_bbox: 0.1742 d4.dn_loss_iou: 0.2187 d1.loss_lmm_region: 0.1411 loss_lmm_image: 0.8675 +2024/11/07 15:07:16 - mmengine - INFO - Iter(train) [ 38200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:26:12 time: 1.0252 data_time: 0.0178 memory: 22945 grad_norm: 23.3080 loss: 8.9530 loss_cls: 0.2861 loss_bbox: 0.1252 loss_iou: 0.2336 d0.loss_cls: 0.3198 d0.loss_bbox: 0.1430 d0.loss_iou: 0.2540 d1.loss_cls: 0.3026 d1.loss_bbox: 0.1373 d1.loss_iou: 0.2440 d2.loss_cls: 0.2931 d2.loss_bbox: 0.1295 d2.loss_iou: 0.2366 d3.loss_cls: 0.2877 d3.loss_bbox: 0.1277 d3.loss_iou: 0.2348 d4.loss_cls: 0.2845 d4.loss_bbox: 0.1261 d4.loss_iou: 0.2338 enc_loss_cls: 0.3415 enc_loss_bbox: 0.1537 enc_loss_iou: 0.2686 dn_loss_cls: 0.0816 dn_loss_bbox: 0.1597 dn_loss_iou: 0.2009 d0.dn_loss_cls: 0.1607 d0.dn_loss_bbox: 0.2977 d0.dn_loss_iou: 0.3427 d1.dn_loss_cls: 0.1103 d1.dn_loss_bbox: 0.1911 d1.dn_loss_iou: 0.2349 d2.dn_loss_cls: 0.0956 d2.dn_loss_bbox: 0.1693 d2.dn_loss_iou: 0.2112 d3.dn_loss_cls: 0.0853 d3.dn_loss_bbox: 0.1608 d3.dn_loss_iou: 0.2029 d4.dn_loss_cls: 0.0834 d4.dn_loss_bbox: 0.1598 d4.dn_loss_iou: 0.2009 d1.loss_lmm_region: 0.1789 loss_lmm_image: 0.8621 +2024/11/07 15:09:00 - mmengine - INFO - Iter(train) [ 38300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:24:24 time: 1.0346 data_time: 0.0177 memory: 24311 grad_norm: 24.0430 loss: 10.1756 loss_cls: 0.3029 loss_bbox: 0.1486 loss_iou: 0.3027 d0.loss_cls: 0.3453 d0.loss_bbox: 0.1585 d0.loss_iou: 0.3223 d1.loss_cls: 0.3222 d1.loss_bbox: 0.1502 d1.loss_iou: 0.3086 d2.loss_cls: 0.3146 d2.loss_bbox: 0.1465 d2.loss_iou: 0.3032 d3.loss_cls: 0.3063 d3.loss_bbox: 0.1491 d3.loss_iou: 0.3036 d4.loss_cls: 0.3041 d4.loss_bbox: 0.1481 d4.loss_iou: 0.3021 enc_loss_cls: 0.3615 enc_loss_bbox: 0.1733 enc_loss_iou: 0.3448 dn_loss_cls: 0.0970 dn_loss_bbox: 0.1737 dn_loss_iou: 0.2441 d0.dn_loss_cls: 0.1772 d0.dn_loss_bbox: 0.3255 d0.dn_loss_iou: 0.4051 d1.dn_loss_cls: 0.1263 d1.dn_loss_bbox: 0.2074 d1.dn_loss_iou: 0.2813 d2.dn_loss_cls: 0.1086 d2.dn_loss_bbox: 0.1814 d2.dn_loss_iou: 0.2538 d3.dn_loss_cls: 0.1013 d3.dn_loss_bbox: 0.1744 d3.dn_loss_iou: 0.2446 d4.dn_loss_cls: 0.0984 d4.dn_loss_bbox: 0.1738 d4.dn_loss_iou: 0.2440 d1.loss_lmm_region: 0.1681 loss_lmm_image: 0.8710 +2024/11/07 15:10:42 - mmengine - INFO - Iter(train) [ 38400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:22:34 time: 1.0215 data_time: 0.0177 memory: 22738 grad_norm: 24.5587 loss: 9.9603 loss_cls: 0.3286 loss_bbox: 0.1474 loss_iou: 0.3020 d0.loss_cls: 0.3728 d0.loss_bbox: 0.1650 d0.loss_iou: 0.3205 d1.loss_cls: 0.3446 d1.loss_bbox: 0.1568 d1.loss_iou: 0.3109 d2.loss_cls: 0.3410 d2.loss_bbox: 0.1503 d2.loss_iou: 0.3024 d3.loss_cls: 0.3366 d3.loss_bbox: 0.1493 d3.loss_iou: 0.3008 d4.loss_cls: 0.3316 d4.loss_bbox: 0.1485 d4.loss_iou: 0.3003 enc_loss_cls: 0.3913 enc_loss_bbox: 0.1696 enc_loss_iou: 0.3389 dn_loss_cls: 0.0761 dn_loss_bbox: 0.1620 dn_loss_iou: 0.2213 d0.dn_loss_cls: 0.1586 d0.dn_loss_bbox: 0.2999 d0.dn_loss_iou: 0.3660 d1.dn_loss_cls: 0.1064 d1.dn_loss_bbox: 0.1960 d1.dn_loss_iou: 0.2590 d2.dn_loss_cls: 0.0901 d2.dn_loss_bbox: 0.1719 d2.dn_loss_iou: 0.2322 d3.dn_loss_cls: 0.0805 d3.dn_loss_bbox: 0.1640 d3.dn_loss_iou: 0.2232 d4.dn_loss_cls: 0.0763 d4.dn_loss_bbox: 0.1620 d4.dn_loss_iou: 0.2214 d1.loss_lmm_region: 0.1491 loss_lmm_image: 0.8350 +2024/11/07 15:12:25 - mmengine - INFO - Iter(train) [ 38500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:20:44 time: 1.0237 data_time: 0.0178 memory: 22960 grad_norm: 27.8587 loss: 10.2881 loss_cls: 0.3091 loss_bbox: 0.1437 loss_iou: 0.2801 d0.loss_cls: 0.3478 d0.loss_bbox: 0.1549 d0.loss_iou: 0.2915 d1.loss_cls: 0.3345 d1.loss_bbox: 0.1451 d1.loss_iou: 0.2827 d2.loss_cls: 0.3272 d2.loss_bbox: 0.1407 d2.loss_iou: 0.2774 d3.loss_cls: 0.3186 d3.loss_bbox: 0.1412 d3.loss_iou: 0.2782 d4.loss_cls: 0.3126 d4.loss_bbox: 0.1441 d4.loss_iou: 0.2795 enc_loss_cls: 0.3633 enc_loss_bbox: 0.1695 enc_loss_iou: 0.3187 dn_loss_cls: 0.1257 dn_loss_bbox: 0.1800 dn_loss_iou: 0.2376 d0.dn_loss_cls: 0.2281 d0.dn_loss_bbox: 0.3628 d0.dn_loss_iou: 0.4010 d1.dn_loss_cls: 0.1639 d1.dn_loss_bbox: 0.2252 d1.dn_loss_iou: 0.2747 d2.dn_loss_cls: 0.1442 d2.dn_loss_bbox: 0.1926 d2.dn_loss_iou: 0.2486 d3.dn_loss_cls: 0.1336 d3.dn_loss_bbox: 0.1816 d3.dn_loss_iou: 0.2391 d4.dn_loss_cls: 0.1285 d4.dn_loss_bbox: 0.1800 d4.dn_loss_iou: 0.2376 d1.loss_lmm_region: 0.1842 loss_lmm_image: 0.8587 +2024/11/07 15:14:07 - mmengine - INFO - Iter(train) [ 38600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:18:54 time: 1.0292 data_time: 0.0179 memory: 23538 grad_norm: 22.7951 loss: 10.3846 loss_cls: 0.3071 loss_bbox: 0.1524 loss_iou: 0.2987 d0.loss_cls: 0.3380 d0.loss_bbox: 0.1726 d0.loss_iou: 0.3198 d1.loss_cls: 0.3225 d1.loss_bbox: 0.1611 d1.loss_iou: 0.3087 d2.loss_cls: 0.3144 d2.loss_bbox: 0.1592 d2.loss_iou: 0.3008 d3.loss_cls: 0.3099 d3.loss_bbox: 0.1538 d3.loss_iou: 0.2987 d4.loss_cls: 0.3113 d4.loss_bbox: 0.1507 d4.loss_iou: 0.2961 enc_loss_cls: 0.3594 enc_loss_bbox: 0.1856 enc_loss_iou: 0.3392 dn_loss_cls: 0.0917 dn_loss_bbox: 0.1889 dn_loss_iou: 0.2514 d0.dn_loss_cls: 0.1925 d0.dn_loss_bbox: 0.3648 d0.dn_loss_iou: 0.4111 d1.dn_loss_cls: 0.1270 d1.dn_loss_bbox: 0.2262 d1.dn_loss_iou: 0.2873 d2.dn_loss_cls: 0.1068 d2.dn_loss_bbox: 0.1949 d2.dn_loss_iou: 0.2605 d3.dn_loss_cls: 0.0970 d3.dn_loss_bbox: 0.1902 d3.dn_loss_iou: 0.2532 d4.dn_loss_cls: 0.0918 d4.dn_loss_bbox: 0.1890 d4.dn_loss_iou: 0.2513 d1.loss_lmm_region: 0.1770 loss_lmm_image: 0.8719 +2024/11/07 15:15:51 - mmengine - INFO - Iter(train) [ 38700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:17:07 time: 1.0326 data_time: 0.0180 memory: 24234 grad_norm: 22.5690 loss: 10.8920 loss_cls: 0.3807 loss_bbox: 0.1723 loss_iou: 0.3306 d0.loss_cls: 0.4168 d0.loss_bbox: 0.1930 d0.loss_iou: 0.3587 d1.loss_cls: 0.3967 d1.loss_bbox: 0.1742 d1.loss_iou: 0.3369 d2.loss_cls: 0.3889 d2.loss_bbox: 0.1664 d2.loss_iou: 0.3289 d3.loss_cls: 0.3809 d3.loss_bbox: 0.1754 d3.loss_iou: 0.3318 d4.loss_cls: 0.3828 d4.loss_bbox: 0.1715 d4.loss_iou: 0.3280 enc_loss_cls: 0.4289 enc_loss_bbox: 0.2070 enc_loss_iou: 0.3789 dn_loss_cls: 0.0955 dn_loss_bbox: 0.1487 dn_loss_iou: 0.2350 d0.dn_loss_cls: 0.1792 d0.dn_loss_bbox: 0.2952 d0.dn_loss_iou: 0.3907 d1.dn_loss_cls: 0.1301 d1.dn_loss_bbox: 0.1803 d1.dn_loss_iou: 0.2717 d2.dn_loss_cls: 0.1094 d2.dn_loss_bbox: 0.1561 d2.dn_loss_iou: 0.2439 d3.dn_loss_cls: 0.1011 d3.dn_loss_bbox: 0.1498 d3.dn_loss_iou: 0.2367 d4.dn_loss_cls: 0.0965 d4.dn_loss_bbox: 0.1488 d4.dn_loss_iou: 0.2351 d1.loss_lmm_region: 0.1619 loss_lmm_image: 0.8967 +2024/11/07 15:17:33 - mmengine - INFO - Iter(train) [ 38800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:15:16 time: 1.0311 data_time: 0.0178 memory: 23150 grad_norm: 23.7629 loss: 9.9114 loss_cls: 0.3023 loss_bbox: 0.1604 loss_iou: 0.2660 d0.loss_cls: 0.3514 d0.loss_bbox: 0.1640 d0.loss_iou: 0.2810 d1.loss_cls: 0.3259 d1.loss_bbox: 0.1570 d1.loss_iou: 0.2688 d2.loss_cls: 0.3181 d2.loss_bbox: 0.1551 d2.loss_iou: 0.2672 d3.loss_cls: 0.3094 d3.loss_bbox: 0.1559 d3.loss_iou: 0.2675 d4.loss_cls: 0.3032 d4.loss_bbox: 0.1604 d4.loss_iou: 0.2678 enc_loss_cls: 0.3708 enc_loss_bbox: 0.1813 enc_loss_iou: 0.3006 dn_loss_cls: 0.0996 dn_loss_bbox: 0.1715 dn_loss_iou: 0.2262 d0.dn_loss_cls: 0.2069 d0.dn_loss_bbox: 0.3264 d0.dn_loss_iou: 0.3774 d1.dn_loss_cls: 0.1346 d1.dn_loss_bbox: 0.2037 d1.dn_loss_iou: 0.2588 d2.dn_loss_cls: 0.1150 d2.dn_loss_bbox: 0.1774 d2.dn_loss_iou: 0.2337 d3.dn_loss_cls: 0.1031 d3.dn_loss_bbox: 0.1719 d3.dn_loss_iou: 0.2273 d4.dn_loss_cls: 0.1014 d4.dn_loss_bbox: 0.1714 d4.dn_loss_iou: 0.2262 d1.loss_lmm_region: 0.1889 loss_lmm_image: 0.8560 +2024/11/07 15:19:16 - mmengine - INFO - Iter(train) [ 38900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:13:28 time: 1.0287 data_time: 0.0179 memory: 24049 grad_norm: 21.9590 loss: 9.6089 loss_cls: 0.2941 loss_bbox: 0.1394 loss_iou: 0.2574 d0.loss_cls: 0.3379 d0.loss_bbox: 0.1480 d0.loss_iou: 0.2713 d1.loss_cls: 0.3222 d1.loss_bbox: 0.1392 d1.loss_iou: 0.2606 d2.loss_cls: 0.3065 d2.loss_bbox: 0.1377 d2.loss_iou: 0.2569 d3.loss_cls: 0.2991 d3.loss_bbox: 0.1409 d3.loss_iou: 0.2578 d4.loss_cls: 0.2973 d4.loss_bbox: 0.1387 d4.loss_iou: 0.2575 enc_loss_cls: 0.3568 enc_loss_bbox: 0.1635 enc_loss_iou: 0.2922 dn_loss_cls: 0.0973 dn_loss_bbox: 0.1782 dn_loss_iou: 0.2263 d0.dn_loss_cls: 0.1799 d0.dn_loss_bbox: 0.3330 d0.dn_loss_iou: 0.3772 d1.dn_loss_cls: 0.1223 d1.dn_loss_bbox: 0.2152 d1.dn_loss_iou: 0.2620 d2.dn_loss_cls: 0.1071 d2.dn_loss_bbox: 0.1885 d2.dn_loss_iou: 0.2361 d3.dn_loss_cls: 0.1018 d3.dn_loss_bbox: 0.1802 d3.dn_loss_iou: 0.2283 d4.dn_loss_cls: 0.0981 d4.dn_loss_bbox: 0.1784 d4.dn_loss_iou: 0.2264 d1.loss_lmm_region: 0.1616 loss_lmm_image: 0.8359 +2024/11/07 15:20:59 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/07 15:20:59 - mmengine - INFO - Iter(train) [ 39000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:11:40 time: 1.0293 data_time: 0.0179 memory: 23855 grad_norm: 20.6624 loss: 9.0470 loss_cls: 0.2795 loss_bbox: 0.1311 loss_iou: 0.2393 d0.loss_cls: 0.3134 d0.loss_bbox: 0.1397 d0.loss_iou: 0.2516 d1.loss_cls: 0.2964 d1.loss_bbox: 0.1313 d1.loss_iou: 0.2434 d2.loss_cls: 0.2850 d2.loss_bbox: 0.1325 d2.loss_iou: 0.2427 d3.loss_cls: 0.2790 d3.loss_bbox: 0.1348 d3.loss_iou: 0.2441 d4.loss_cls: 0.2805 d4.loss_bbox: 0.1308 d4.loss_iou: 0.2385 enc_loss_cls: 0.3268 enc_loss_bbox: 0.1530 enc_loss_iou: 0.2724 dn_loss_cls: 0.0952 dn_loss_bbox: 0.1496 dn_loss_iou: 0.2091 d0.dn_loss_cls: 0.1805 d0.dn_loss_bbox: 0.3213 d0.dn_loss_iou: 0.3659 d1.dn_loss_cls: 0.1243 d1.dn_loss_bbox: 0.1865 d1.dn_loss_iou: 0.2431 d2.dn_loss_cls: 0.1081 d2.dn_loss_bbox: 0.1594 d2.dn_loss_iou: 0.2184 d3.dn_loss_cls: 0.1015 d3.dn_loss_bbox: 0.1515 d3.dn_loss_iou: 0.2109 d4.dn_loss_cls: 0.0957 d4.dn_loss_bbox: 0.1498 d4.dn_loss_iou: 0.2092 d1.loss_lmm_region: 0.1565 loss_lmm_image: 0.8645 +2024/11/07 15:22:42 - mmengine - INFO - Iter(train) [ 39100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:09:50 time: 1.0310 data_time: 0.0179 memory: 23434 grad_norm: 27.4314 loss: 8.9422 loss_cls: 0.2782 loss_bbox: 0.1261 loss_iou: 0.2434 d0.loss_cls: 0.3159 d0.loss_bbox: 0.1377 d0.loss_iou: 0.2602 d1.loss_cls: 0.2949 d1.loss_bbox: 0.1310 d1.loss_iou: 0.2531 d2.loss_cls: 0.2848 d2.loss_bbox: 0.1280 d2.loss_iou: 0.2471 d3.loss_cls: 0.2816 d3.loss_bbox: 0.1273 d3.loss_iou: 0.2444 d4.loss_cls: 0.2774 d4.loss_bbox: 0.1261 d4.loss_iou: 0.2437 enc_loss_cls: 0.3303 enc_loss_bbox: 0.1491 enc_loss_iou: 0.2820 dn_loss_cls: 0.0869 dn_loss_bbox: 0.1504 dn_loss_iou: 0.2010 d0.dn_loss_cls: 0.1681 d0.dn_loss_bbox: 0.2860 d0.dn_loss_iou: 0.3430 d1.dn_loss_cls: 0.1185 d1.dn_loss_bbox: 0.1773 d1.dn_loss_iou: 0.2318 d2.dn_loss_cls: 0.1013 d2.dn_loss_bbox: 0.1581 d2.dn_loss_iou: 0.2102 d3.dn_loss_cls: 0.0907 d3.dn_loss_bbox: 0.1517 d3.dn_loss_iou: 0.2025 d4.dn_loss_cls: 0.0868 d4.dn_loss_bbox: 0.1503 d4.dn_loss_iou: 0.2010 d1.loss_lmm_region: 0.1645 loss_lmm_image: 0.9001 +2024/11/07 15:24:25 - mmengine - INFO - Iter(train) [ 39200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:08:02 time: 1.0343 data_time: 0.0179 memory: 23840 grad_norm: 22.3226 loss: 9.8718 loss_cls: 0.2993 loss_bbox: 0.1514 loss_iou: 0.2785 d0.loss_cls: 0.3444 d0.loss_bbox: 0.1692 d0.loss_iou: 0.2951 d1.loss_cls: 0.3266 d1.loss_bbox: 0.1542 d1.loss_iou: 0.2828 d2.loss_cls: 0.3145 d2.loss_bbox: 0.1532 d2.loss_iou: 0.2790 d3.loss_cls: 0.3108 d3.loss_bbox: 0.1504 d3.loss_iou: 0.2771 d4.loss_cls: 0.3022 d4.loss_bbox: 0.1496 d4.loss_iou: 0.2773 enc_loss_cls: 0.3552 enc_loss_bbox: 0.1866 enc_loss_iou: 0.3176 dn_loss_cls: 0.0821 dn_loss_bbox: 0.1847 dn_loss_iou: 0.2305 d0.dn_loss_cls: 0.1684 d0.dn_loss_bbox: 0.3455 d0.dn_loss_iou: 0.3788 d1.dn_loss_cls: 0.1122 d1.dn_loss_bbox: 0.2190 d1.dn_loss_iou: 0.2620 d2.dn_loss_cls: 0.0948 d2.dn_loss_bbox: 0.1916 d2.dn_loss_iou: 0.2373 d3.dn_loss_cls: 0.0875 d3.dn_loss_bbox: 0.1858 d3.dn_loss_iou: 0.2317 d4.dn_loss_cls: 0.0831 d4.dn_loss_bbox: 0.1847 d4.dn_loss_iou: 0.2305 d1.loss_lmm_region: 0.1487 loss_lmm_image: 0.8379 +2024/11/07 15:26:07 - mmengine - INFO - Iter(train) [ 39300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:06:12 time: 1.0356 data_time: 0.0179 memory: 24248 grad_norm: 20.9436 loss: 9.5107 loss_cls: 0.3079 loss_bbox: 0.1246 loss_iou: 0.2368 d0.loss_cls: 0.3467 d0.loss_bbox: 0.1463 d0.loss_iou: 0.2615 d1.loss_cls: 0.3346 d1.loss_bbox: 0.1308 d1.loss_iou: 0.2456 d2.loss_cls: 0.3226 d2.loss_bbox: 0.1280 d2.loss_iou: 0.2413 d3.loss_cls: 0.3169 d3.loss_bbox: 0.1242 d3.loss_iou: 0.2397 d4.loss_cls: 0.3082 d4.loss_bbox: 0.1264 d4.loss_iou: 0.2388 enc_loss_cls: 0.3524 enc_loss_bbox: 0.1587 enc_loss_iou: 0.2791 dn_loss_cls: 0.0979 dn_loss_bbox: 0.1823 dn_loss_iou: 0.2198 d0.dn_loss_cls: 0.1859 d0.dn_loss_bbox: 0.3352 d0.dn_loss_iou: 0.3698 d1.dn_loss_cls: 0.1281 d1.dn_loss_bbox: 0.2150 d1.dn_loss_iou: 0.2531 d2.dn_loss_cls: 0.1124 d2.dn_loss_bbox: 0.1922 d2.dn_loss_iou: 0.2299 d3.dn_loss_cls: 0.1044 d3.dn_loss_bbox: 0.1836 d3.dn_loss_iou: 0.2214 d4.dn_loss_cls: 0.0993 d4.dn_loss_bbox: 0.1822 d4.dn_loss_iou: 0.2197 d1.loss_lmm_region: 0.1501 loss_lmm_image: 0.8573 +2024/11/07 15:27:50 - mmengine - INFO - Iter(train) [ 39400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:04:23 time: 1.0301 data_time: 0.0180 memory: 24358 grad_norm: 22.1780 loss: 9.3078 loss_cls: 0.3205 loss_bbox: 0.1231 loss_iou: 0.2524 d0.loss_cls: 0.3558 d0.loss_bbox: 0.1454 d0.loss_iou: 0.2776 d1.loss_cls: 0.3387 d1.loss_bbox: 0.1338 d1.loss_iou: 0.2639 d2.loss_cls: 0.3354 d2.loss_bbox: 0.1243 d2.loss_iou: 0.2544 d3.loss_cls: 0.3281 d3.loss_bbox: 0.1227 d3.loss_iou: 0.2529 d4.loss_cls: 0.3200 d4.loss_bbox: 0.1253 d4.loss_iou: 0.2537 enc_loss_cls: 0.3747 enc_loss_bbox: 0.1581 enc_loss_iou: 0.3034 dn_loss_cls: 0.0900 dn_loss_bbox: 0.1454 dn_loss_iou: 0.2045 d0.dn_loss_cls: 0.1675 d0.dn_loss_bbox: 0.2922 d0.dn_loss_iou: 0.3525 d1.dn_loss_cls: 0.1210 d1.dn_loss_bbox: 0.1769 d1.dn_loss_iou: 0.2390 d2.dn_loss_cls: 0.1041 d2.dn_loss_bbox: 0.1550 d2.dn_loss_iou: 0.2148 d3.dn_loss_cls: 0.0933 d3.dn_loss_bbox: 0.1468 d3.dn_loss_iou: 0.2067 d4.dn_loss_cls: 0.0901 d4.dn_loss_bbox: 0.1455 d4.dn_loss_iou: 0.2048 d1.loss_lmm_region: 0.1451 loss_lmm_image: 0.8482 +2024/11/07 15:29:32 - mmengine - INFO - Iter(train) [ 39500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:02:33 time: 1.0168 data_time: 0.0179 memory: 23875 grad_norm: 22.9050 loss: 10.5360 loss_cls: 0.3060 loss_bbox: 0.1656 loss_iou: 0.2678 d0.loss_cls: 0.3608 d0.loss_bbox: 0.1841 d0.loss_iou: 0.2892 d1.loss_cls: 0.3350 d1.loss_bbox: 0.1668 d1.loss_iou: 0.2706 d2.loss_cls: 0.3209 d2.loss_bbox: 0.1646 d2.loss_iou: 0.2666 d3.loss_cls: 0.3152 d3.loss_bbox: 0.1638 d3.loss_iou: 0.2656 d4.loss_cls: 0.3078 d4.loss_bbox: 0.1640 d4.loss_iou: 0.2675 enc_loss_cls: 0.3763 enc_loss_bbox: 0.1962 enc_loss_iou: 0.3103 dn_loss_cls: 0.0855 dn_loss_bbox: 0.2230 dn_loss_iou: 0.2584 d0.dn_loss_cls: 0.1982 d0.dn_loss_bbox: 0.4153 d0.dn_loss_iou: 0.4301 d1.dn_loss_cls: 0.1342 d1.dn_loss_bbox: 0.2744 d1.dn_loss_iou: 0.3024 d2.dn_loss_cls: 0.1106 d2.dn_loss_bbox: 0.2364 d2.dn_loss_iou: 0.2698 d3.dn_loss_cls: 0.0946 d3.dn_loss_bbox: 0.2259 d3.dn_loss_iou: 0.2610 d4.dn_loss_cls: 0.0872 d4.dn_loss_bbox: 0.2231 d4.dn_loss_iou: 0.2583 d1.loss_lmm_region: 0.1621 loss_lmm_image: 0.8205 +2024/11/07 15:31:16 - mmengine - INFO - Iter(train) [ 39600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:00:46 time: 1.0297 data_time: 0.0180 memory: 24211 grad_norm: 21.6914 loss: 11.3431 loss_cls: 0.3502 loss_bbox: 0.1848 loss_iou: 0.3027 d0.loss_cls: 0.3772 d0.loss_bbox: 0.2055 d0.loss_iou: 0.3213 d1.loss_cls: 0.3682 d1.loss_bbox: 0.1899 d1.loss_iou: 0.3051 d2.loss_cls: 0.3583 d2.loss_bbox: 0.1851 d2.loss_iou: 0.3047 d3.loss_cls: 0.3551 d3.loss_bbox: 0.1854 d3.loss_iou: 0.3011 d4.loss_cls: 0.3538 d4.loss_bbox: 0.1831 d4.loss_iou: 0.3004 enc_loss_cls: 0.3947 enc_loss_bbox: 0.2168 enc_loss_iou: 0.3398 dn_loss_cls: 0.1301 dn_loss_bbox: 0.2093 dn_loss_iou: 0.2690 d0.dn_loss_cls: 0.2154 d0.dn_loss_bbox: 0.3972 d0.dn_loss_iou: 0.4474 d1.dn_loss_cls: 0.1576 d1.dn_loss_bbox: 0.2578 d1.dn_loss_iou: 0.3120 d2.dn_loss_cls: 0.1401 d2.dn_loss_bbox: 0.2227 d2.dn_loss_iou: 0.2813 d3.dn_loss_cls: 0.1324 d3.dn_loss_bbox: 0.2105 d3.dn_loss_iou: 0.2707 d4.dn_loss_cls: 0.1293 d4.dn_loss_bbox: 0.2091 d4.dn_loss_iou: 0.2690 d1.loss_lmm_region: 0.1726 loss_lmm_image: 0.8262 +2024/11/07 15:32:59 - mmengine - INFO - Iter(train) [ 39700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:58:58 time: 1.0273 data_time: 0.0180 memory: 23928 grad_norm: 20.6682 loss: 10.5706 loss_cls: 0.3381 loss_bbox: 0.1796 loss_iou: 0.2996 d0.loss_cls: 0.3759 d0.loss_bbox: 0.1895 d0.loss_iou: 0.3147 d1.loss_cls: 0.3513 d1.loss_bbox: 0.1934 d1.loss_iou: 0.3094 d2.loss_cls: 0.3489 d2.loss_bbox: 0.1835 d2.loss_iou: 0.2996 d3.loss_cls: 0.3421 d3.loss_bbox: 0.1822 d3.loss_iou: 0.3006 d4.loss_cls: 0.3363 d4.loss_bbox: 0.1830 d4.loss_iou: 0.3013 enc_loss_cls: 0.3946 enc_loss_bbox: 0.2078 enc_loss_iou: 0.3358 dn_loss_cls: 0.1004 dn_loss_bbox: 0.1845 dn_loss_iou: 0.2416 d0.dn_loss_cls: 0.1872 d0.dn_loss_bbox: 0.3329 d0.dn_loss_iou: 0.3895 d1.dn_loss_cls: 0.1289 d1.dn_loss_bbox: 0.2175 d1.dn_loss_iou: 0.2749 d2.dn_loss_cls: 0.1123 d2.dn_loss_bbox: 0.1938 d2.dn_loss_iou: 0.2507 d3.dn_loss_cls: 0.1056 d3.dn_loss_bbox: 0.1861 d3.dn_loss_iou: 0.2430 d4.dn_loss_cls: 0.1014 d4.dn_loss_bbox: 0.1845 d4.dn_loss_iou: 0.2414 d1.loss_lmm_region: 0.1590 loss_lmm_image: 0.7677 +2024/11/07 15:34:42 - mmengine - INFO - Iter(train) [ 39800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:57:09 time: 1.0323 data_time: 0.0179 memory: 23782 grad_norm: 28.4764 loss: 9.7616 loss_cls: 0.3308 loss_bbox: 0.1401 loss_iou: 0.2709 d0.loss_cls: 0.3634 d0.loss_bbox: 0.1635 d0.loss_iou: 0.2970 d1.loss_cls: 0.3459 d1.loss_bbox: 0.1515 d1.loss_iou: 0.2828 d2.loss_cls: 0.3406 d2.loss_bbox: 0.1432 d2.loss_iou: 0.2759 d3.loss_cls: 0.3345 d3.loss_bbox: 0.1411 d3.loss_iou: 0.2711 d4.loss_cls: 0.3291 d4.loss_bbox: 0.1404 d4.loss_iou: 0.2712 enc_loss_cls: 0.3872 enc_loss_bbox: 0.1718 enc_loss_iou: 0.3187 dn_loss_cls: 0.0885 dn_loss_bbox: 0.1615 dn_loss_iou: 0.2126 d0.dn_loss_cls: 0.1734 d0.dn_loss_bbox: 0.3177 d0.dn_loss_iou: 0.3665 d1.dn_loss_cls: 0.1156 d1.dn_loss_bbox: 0.1958 d1.dn_loss_iou: 0.2468 d2.dn_loss_cls: 0.1019 d2.dn_loss_bbox: 0.1695 d2.dn_loss_iou: 0.2219 d3.dn_loss_cls: 0.0911 d3.dn_loss_bbox: 0.1621 d3.dn_loss_iou: 0.2137 d4.dn_loss_cls: 0.0896 d4.dn_loss_bbox: 0.1615 d4.dn_loss_iou: 0.2126 d1.loss_lmm_region: 0.1594 loss_lmm_image: 0.8290 +2024/11/07 15:36:25 - mmengine - INFO - Iter(train) [ 39900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:55:20 time: 1.0206 data_time: 0.0180 memory: 23112 grad_norm: 21.5390 loss: 10.5210 loss_cls: 0.3241 loss_bbox: 0.1721 loss_iou: 0.2884 d0.loss_cls: 0.3670 d0.loss_bbox: 0.1898 d0.loss_iou: 0.3058 d1.loss_cls: 0.3458 d1.loss_bbox: 0.1774 d1.loss_iou: 0.2918 d2.loss_cls: 0.3384 d2.loss_bbox: 0.1714 d2.loss_iou: 0.2877 d3.loss_cls: 0.3323 d3.loss_bbox: 0.1693 d3.loss_iou: 0.2860 d4.loss_cls: 0.3281 d4.loss_bbox: 0.1707 d4.loss_iou: 0.2870 enc_loss_cls: 0.3821 enc_loss_bbox: 0.2111 enc_loss_iou: 0.3363 dn_loss_cls: 0.0936 dn_loss_bbox: 0.1911 dn_loss_iou: 0.2340 d0.dn_loss_cls: 0.1817 d0.dn_loss_bbox: 0.3861 d0.dn_loss_iou: 0.4062 d1.dn_loss_cls: 0.1260 d1.dn_loss_bbox: 0.2386 d1.dn_loss_iou: 0.2743 d2.dn_loss_cls: 0.1069 d2.dn_loss_bbox: 0.2042 d2.dn_loss_iou: 0.2459 d3.dn_loss_cls: 0.0971 d3.dn_loss_bbox: 0.1936 d3.dn_loss_iou: 0.2364 d4.dn_loss_cls: 0.0940 d4.dn_loss_bbox: 0.1912 d4.dn_loss_iou: 0.2341 d1.loss_lmm_region: 0.1855 loss_lmm_image: 0.8376 +2024/11/07 15:38:08 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/07 15:38:08 - mmengine - INFO - Iter(train) [ 40000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:53:33 time: 1.0372 data_time: 0.0179 memory: 24063 grad_norm: 21.0136 loss: 8.9365 loss_cls: 0.2662 loss_bbox: 0.1263 loss_iou: 0.2290 d0.loss_cls: 0.2984 d0.loss_bbox: 0.1350 d0.loss_iou: 0.2437 d1.loss_cls: 0.2835 d1.loss_bbox: 0.1271 d1.loss_iou: 0.2336 d2.loss_cls: 0.2752 d2.loss_bbox: 0.1260 d2.loss_iou: 0.2288 d3.loss_cls: 0.2690 d3.loss_bbox: 0.1271 d3.loss_iou: 0.2302 d4.loss_cls: 0.2680 d4.loss_bbox: 0.1259 d4.loss_iou: 0.2280 enc_loss_cls: 0.3122 enc_loss_bbox: 0.1549 enc_loss_iou: 0.2665 dn_loss_cls: 0.1062 dn_loss_bbox: 0.1635 dn_loss_iou: 0.2205 d0.dn_loss_cls: 0.1738 d0.dn_loss_bbox: 0.3249 d0.dn_loss_iou: 0.3751 d1.dn_loss_cls: 0.1248 d1.dn_loss_bbox: 0.2001 d1.dn_loss_iou: 0.2543 d2.dn_loss_cls: 0.1118 d2.dn_loss_bbox: 0.1731 d2.dn_loss_iou: 0.2295 d3.dn_loss_cls: 0.1064 d3.dn_loss_bbox: 0.1641 d3.dn_loss_iou: 0.2218 d4.dn_loss_cls: 0.1054 d4.dn_loss_bbox: 0.1634 d4.dn_loss_iou: 0.2203 d1.loss_lmm_region: 0.1172 loss_lmm_image: 0.8257 +2024/11/07 15:39:51 - mmengine - INFO - Iter(train) [ 40100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:51:44 time: 1.0248 data_time: 0.0179 memory: 23202 grad_norm: 21.6733 loss: 10.7233 loss_cls: 0.3451 loss_bbox: 0.1760 loss_iou: 0.3152 d0.loss_cls: 0.3961 d0.loss_bbox: 0.1773 d0.loss_iou: 0.3242 d1.loss_cls: 0.3698 d1.loss_bbox: 0.1715 d1.loss_iou: 0.3161 d2.loss_cls: 0.3572 d2.loss_bbox: 0.1729 d2.loss_iou: 0.3154 d3.loss_cls: 0.3505 d3.loss_bbox: 0.1766 d3.loss_iou: 0.3153 d4.loss_cls: 0.3469 d4.loss_bbox: 0.1764 d4.loss_iou: 0.3155 enc_loss_cls: 0.4085 enc_loss_bbox: 0.1910 enc_loss_iou: 0.3451 dn_loss_cls: 0.0836 dn_loss_bbox: 0.1850 dn_loss_iou: 0.2441 d0.dn_loss_cls: 0.1858 d0.dn_loss_bbox: 0.3301 d0.dn_loss_iou: 0.3940 d1.dn_loss_cls: 0.1186 d1.dn_loss_bbox: 0.2190 d1.dn_loss_iou: 0.2777 d2.dn_loss_cls: 0.1007 d2.dn_loss_bbox: 0.1924 d2.dn_loss_iou: 0.2524 d3.dn_loss_cls: 0.0887 d3.dn_loss_bbox: 0.1866 d3.dn_loss_iou: 0.2458 d4.dn_loss_cls: 0.0849 d4.dn_loss_bbox: 0.1850 d4.dn_loss_iou: 0.2442 d1.loss_lmm_region: 0.1851 loss_lmm_image: 0.8571 +2024/11/07 15:41:33 - mmengine - INFO - Iter(train) [ 40200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:49:54 time: 1.0201 data_time: 0.0180 memory: 25148 grad_norm: 21.4867 loss: 8.4454 loss_cls: 0.2612 loss_bbox: 0.1183 loss_iou: 0.2164 d0.loss_cls: 0.2905 d0.loss_bbox: 0.1269 d0.loss_iou: 0.2314 d1.loss_cls: 0.2720 d1.loss_bbox: 0.1219 d1.loss_iou: 0.2209 d2.loss_cls: 0.2656 d2.loss_bbox: 0.1188 d2.loss_iou: 0.2186 d3.loss_cls: 0.2622 d3.loss_bbox: 0.1187 d3.loss_iou: 0.2146 d4.loss_cls: 0.2621 d4.loss_bbox: 0.1181 d4.loss_iou: 0.2160 enc_loss_cls: 0.3059 enc_loss_bbox: 0.1435 enc_loss_iou: 0.2523 dn_loss_cls: 0.0847 dn_loss_bbox: 0.1500 dn_loss_iou: 0.1971 d0.dn_loss_cls: 0.1691 d0.dn_loss_bbox: 0.2945 d0.dn_loss_iou: 0.3418 d1.dn_loss_cls: 0.1142 d1.dn_loss_bbox: 0.1796 d1.dn_loss_iou: 0.2294 d2.dn_loss_cls: 0.0992 d2.dn_loss_bbox: 0.1595 d2.dn_loss_iou: 0.2069 d3.dn_loss_cls: 0.0909 d3.dn_loss_bbox: 0.1517 d3.dn_loss_iou: 0.1987 d4.dn_loss_cls: 0.0865 d4.dn_loss_bbox: 0.1500 d4.dn_loss_iou: 0.1972 d1.loss_lmm_region: 0.1567 loss_lmm_image: 0.8320 +2024/11/07 15:43:16 - mmengine - INFO - Iter(train) [ 40300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:48:06 time: 1.0232 data_time: 0.0179 memory: 24044 grad_norm: 27.8284 loss: 9.5769 loss_cls: 0.3046 loss_bbox: 0.1516 loss_iou: 0.2945 d0.loss_cls: 0.3413 d0.loss_bbox: 0.1688 d0.loss_iou: 0.3152 d1.loss_cls: 0.3291 d1.loss_bbox: 0.1515 d1.loss_iou: 0.2996 d2.loss_cls: 0.3179 d2.loss_bbox: 0.1515 d2.loss_iou: 0.2956 d3.loss_cls: 0.3132 d3.loss_bbox: 0.1478 d3.loss_iou: 0.2943 d4.loss_cls: 0.3035 d4.loss_bbox: 0.1522 d4.loss_iou: 0.2950 enc_loss_cls: 0.3566 enc_loss_bbox: 0.1784 enc_loss_iou: 0.3335 dn_loss_cls: 0.0740 dn_loss_bbox: 0.1518 dn_loss_iou: 0.2118 d0.dn_loss_cls: 0.1532 d0.dn_loss_bbox: 0.2883 d0.dn_loss_iou: 0.3538 d1.dn_loss_cls: 0.1007 d1.dn_loss_bbox: 0.1785 d1.dn_loss_iou: 0.2414 d2.dn_loss_cls: 0.0856 d2.dn_loss_bbox: 0.1578 d2.dn_loss_iou: 0.2189 d3.dn_loss_cls: 0.0783 d3.dn_loss_bbox: 0.1520 d3.dn_loss_iou: 0.2129 d4.dn_loss_cls: 0.0755 d4.dn_loss_bbox: 0.1517 d4.dn_loss_iou: 0.2118 d1.loss_lmm_region: 0.1233 loss_lmm_image: 0.8601 +2024/11/07 15:44:58 - mmengine - INFO - Iter(train) [ 40400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:46:17 time: 1.0379 data_time: 0.0179 memory: 24063 grad_norm: 23.7841 loss: 9.0384 loss_cls: 0.2777 loss_bbox: 0.1242 loss_iou: 0.2347 d0.loss_cls: 0.3013 d0.loss_bbox: 0.1408 d0.loss_iou: 0.2512 d1.loss_cls: 0.2886 d1.loss_bbox: 0.1340 d1.loss_iou: 0.2427 d2.loss_cls: 0.2804 d2.loss_bbox: 0.1299 d2.loss_iou: 0.2368 d3.loss_cls: 0.2799 d3.loss_bbox: 0.1275 d3.loss_iou: 0.2353 d4.loss_cls: 0.2787 d4.loss_bbox: 0.1234 d4.loss_iou: 0.2345 enc_loss_cls: 0.3076 enc_loss_bbox: 0.1505 enc_loss_iou: 0.2726 dn_loss_cls: 0.0989 dn_loss_bbox: 0.1638 dn_loss_iou: 0.2153 d0.dn_loss_cls: 0.1827 d0.dn_loss_bbox: 0.3124 d0.dn_loss_iou: 0.3668 d1.dn_loss_cls: 0.1327 d1.dn_loss_bbox: 0.1944 d1.dn_loss_iou: 0.2488 d2.dn_loss_cls: 0.1166 d2.dn_loss_bbox: 0.1692 d2.dn_loss_iou: 0.2235 d3.dn_loss_cls: 0.1054 d3.dn_loss_bbox: 0.1654 d3.dn_loss_iou: 0.2170 d4.dn_loss_cls: 0.1003 d4.dn_loss_bbox: 0.1638 d4.dn_loss_iou: 0.2153 d1.loss_lmm_region: 0.1484 loss_lmm_image: 0.8453 +2024/11/07 15:46:41 - mmengine - INFO - Iter(train) [ 40500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:44:27 time: 1.0175 data_time: 0.0181 memory: 23602 grad_norm: 23.8410 loss: 8.7478 loss_cls: 0.2537 loss_bbox: 0.1150 loss_iou: 0.2000 d0.loss_cls: 0.2825 d0.loss_bbox: 0.1248 d0.loss_iou: 0.2169 d1.loss_cls: 0.2654 d1.loss_bbox: 0.1178 d1.loss_iou: 0.2050 d2.loss_cls: 0.2600 d2.loss_bbox: 0.1141 d2.loss_iou: 0.2035 d3.loss_cls: 0.2586 d3.loss_bbox: 0.1156 d3.loss_iou: 0.2010 d4.loss_cls: 0.2542 d4.loss_bbox: 0.1152 d4.loss_iou: 0.2012 enc_loss_cls: 0.2956 enc_loss_bbox: 0.1420 enc_loss_iou: 0.2356 dn_loss_cls: 0.0983 dn_loss_bbox: 0.1828 dn_loss_iou: 0.2218 d0.dn_loss_cls: 0.1898 d0.dn_loss_bbox: 0.3554 d0.dn_loss_iou: 0.3842 d1.dn_loss_cls: 0.1320 d1.dn_loss_bbox: 0.2121 d1.dn_loss_iou: 0.2538 d2.dn_loss_cls: 0.1166 d2.dn_loss_bbox: 0.1927 d2.dn_loss_iou: 0.2308 d3.dn_loss_cls: 0.1034 d3.dn_loss_bbox: 0.1840 d3.dn_loss_iou: 0.2231 d4.dn_loss_cls: 0.1000 d4.dn_loss_bbox: 0.1828 d4.dn_loss_iou: 0.2218 d1.loss_lmm_region: 0.1573 loss_lmm_image: 0.8270 +2024/11/07 15:48:24 - mmengine - INFO - Iter(train) [ 40600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:42:38 time: 1.0197 data_time: 0.0180 memory: 24282 grad_norm: 22.3122 loss: 8.4385 loss_cls: 0.2363 loss_bbox: 0.1104 loss_iou: 0.1911 d0.loss_cls: 0.2557 d0.loss_bbox: 0.1328 d0.loss_iou: 0.2063 d1.loss_cls: 0.2502 d1.loss_bbox: 0.1175 d1.loss_iou: 0.1981 d2.loss_cls: 0.2408 d2.loss_bbox: 0.1161 d2.loss_iou: 0.1958 d3.loss_cls: 0.2395 d3.loss_bbox: 0.1115 d3.loss_iou: 0.1919 d4.loss_cls: 0.2365 d4.loss_bbox: 0.1101 d4.loss_iou: 0.1907 enc_loss_cls: 0.2735 enc_loss_bbox: 0.1414 enc_loss_iou: 0.2203 dn_loss_cls: 0.0993 dn_loss_bbox: 0.1689 dn_loss_iou: 0.2110 d0.dn_loss_cls: 0.1892 d0.dn_loss_bbox: 0.3526 d0.dn_loss_iou: 0.3736 d1.dn_loss_cls: 0.1333 d1.dn_loss_bbox: 0.2105 d1.dn_loss_iou: 0.2491 d2.dn_loss_cls: 0.1148 d2.dn_loss_bbox: 0.1799 d2.dn_loss_iou: 0.2206 d3.dn_loss_cls: 0.1024 d3.dn_loss_bbox: 0.1701 d3.dn_loss_iou: 0.2124 d4.dn_loss_cls: 0.0993 d4.dn_loss_bbox: 0.1689 d4.dn_loss_iou: 0.2108 d1.loss_lmm_region: 0.1702 loss_lmm_image: 0.8353 +2024/11/07 15:50:07 - mmengine - INFO - Iter(train) [ 40700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:40:52 time: 1.0326 data_time: 0.0180 memory: 24327 grad_norm: 21.0068 loss: 10.7939 loss_cls: 0.3239 loss_bbox: 0.1588 loss_iou: 0.3057 d0.loss_cls: 0.3538 d0.loss_bbox: 0.1768 d0.loss_iou: 0.3321 d1.loss_cls: 0.3395 d1.loss_bbox: 0.1671 d1.loss_iou: 0.3217 d2.loss_cls: 0.3315 d2.loss_bbox: 0.1636 d2.loss_iou: 0.3144 d3.loss_cls: 0.3298 d3.loss_bbox: 0.1631 d3.loss_iou: 0.3073 d4.loss_cls: 0.3259 d4.loss_bbox: 0.1599 d4.loss_iou: 0.3060 enc_loss_cls: 0.3746 enc_loss_bbox: 0.1873 enc_loss_iou: 0.3466 dn_loss_cls: 0.0954 dn_loss_bbox: 0.2094 dn_loss_iou: 0.2611 d0.dn_loss_cls: 0.1919 d0.dn_loss_bbox: 0.3771 d0.dn_loss_iou: 0.4207 d1.dn_loss_cls: 0.1355 d1.dn_loss_bbox: 0.2476 d1.dn_loss_iou: 0.2984 d2.dn_loss_cls: 0.1171 d2.dn_loss_bbox: 0.2162 d2.dn_loss_iou: 0.2692 d3.dn_loss_cls: 0.1031 d3.dn_loss_bbox: 0.2091 d3.dn_loss_iou: 0.2619 d4.dn_loss_cls: 0.0969 d4.dn_loss_bbox: 0.2095 d4.dn_loss_iou: 0.2610 d1.loss_lmm_region: 0.1821 loss_lmm_image: 0.8413 +2024/11/07 15:51:49 - mmengine - INFO - Iter(train) [ 40800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:39:01 time: 1.0164 data_time: 0.0179 memory: 23500 grad_norm: 21.3051 loss: 9.7567 loss_cls: 0.2760 loss_bbox: 0.1363 loss_iou: 0.2335 d0.loss_cls: 0.3146 d0.loss_bbox: 0.1545 d0.loss_iou: 0.2539 d1.loss_cls: 0.2948 d1.loss_bbox: 0.1434 d1.loss_iou: 0.2416 d2.loss_cls: 0.2833 d2.loss_bbox: 0.1406 d2.loss_iou: 0.2365 d3.loss_cls: 0.2840 d3.loss_bbox: 0.1370 d3.loss_iou: 0.2333 d4.loss_cls: 0.2796 d4.loss_bbox: 0.1353 d4.loss_iou: 0.2327 enc_loss_cls: 0.3287 enc_loss_bbox: 0.1777 enc_loss_iou: 0.2796 dn_loss_cls: 0.0993 dn_loss_bbox: 0.2108 dn_loss_iou: 0.2403 d0.dn_loss_cls: 0.1994 d0.dn_loss_bbox: 0.3968 d0.dn_loss_iou: 0.4026 d1.dn_loss_cls: 0.1360 d1.dn_loss_bbox: 0.2501 d1.dn_loss_iou: 0.2753 d2.dn_loss_cls: 0.1156 d2.dn_loss_bbox: 0.2219 d2.dn_loss_iou: 0.2504 d3.dn_loss_cls: 0.1041 d3.dn_loss_bbox: 0.2130 d3.dn_loss_iou: 0.2420 d4.dn_loss_cls: 0.0981 d4.dn_loss_bbox: 0.2109 d4.dn_loss_iou: 0.2402 d1.loss_lmm_region: 0.1920 loss_lmm_image: 0.8611 +2024/11/07 15:53:32 - mmengine - INFO - Iter(train) [ 40900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:37:13 time: 1.0243 data_time: 0.0181 memory: 23908 grad_norm: 20.8255 loss: 11.0033 loss_cls: 0.3523 loss_bbox: 0.1755 loss_iou: 0.2996 d0.loss_cls: 0.3949 d0.loss_bbox: 0.1904 d0.loss_iou: 0.3150 d1.loss_cls: 0.3722 d1.loss_bbox: 0.1835 d1.loss_iou: 0.3088 d2.loss_cls: 0.3686 d2.loss_bbox: 0.1761 d2.loss_iou: 0.3023 d3.loss_cls: 0.3613 d3.loss_bbox: 0.1724 d3.loss_iou: 0.2996 d4.loss_cls: 0.3554 d4.loss_bbox: 0.1744 d4.loss_iou: 0.2988 enc_loss_cls: 0.4092 enc_loss_bbox: 0.2059 enc_loss_iou: 0.3406 dn_loss_cls: 0.1206 dn_loss_bbox: 0.1981 dn_loss_iou: 0.2428 d0.dn_loss_cls: 0.2255 d0.dn_loss_bbox: 0.3582 d0.dn_loss_iou: 0.3959 d1.dn_loss_cls: 0.1592 d1.dn_loss_bbox: 0.2303 d1.dn_loss_iou: 0.2765 d2.dn_loss_cls: 0.1409 d2.dn_loss_bbox: 0.2071 d2.dn_loss_iou: 0.2525 d3.dn_loss_cls: 0.1263 d3.dn_loss_bbox: 0.1993 d3.dn_loss_iou: 0.2443 d4.dn_loss_cls: 0.1210 d4.dn_loss_bbox: 0.1980 d4.dn_loss_iou: 0.2428 d1.loss_lmm_region: 0.1864 loss_lmm_image: 0.8208 +2024/11/07 15:55:15 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/07 15:55:15 - mmengine - INFO - Iter(train) [ 41000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:35:24 time: 1.0262 data_time: 0.0182 memory: 22927 grad_norm: 21.8324 loss: 11.7663 loss_cls: 0.4153 loss_bbox: 0.1807 loss_iou: 0.3480 d0.loss_cls: 0.4497 d0.loss_bbox: 0.1905 d0.loss_iou: 0.3673 d1.loss_cls: 0.4285 d1.loss_bbox: 0.1872 d1.loss_iou: 0.3605 d2.loss_cls: 0.4234 d2.loss_bbox: 0.1817 d2.loss_iou: 0.3485 d3.loss_cls: 0.4210 d3.loss_bbox: 0.1830 d3.loss_iou: 0.3489 d4.loss_cls: 0.4160 d4.loss_bbox: 0.1794 d4.loss_iou: 0.3464 enc_loss_cls: 0.4638 enc_loss_bbox: 0.2117 enc_loss_iou: 0.3952 dn_loss_cls: 0.1229 dn_loss_bbox: 0.1926 dn_loss_iou: 0.2541 d0.dn_loss_cls: 0.2039 d0.dn_loss_bbox: 0.3491 d0.dn_loss_iou: 0.4074 d1.dn_loss_cls: 0.1533 d1.dn_loss_bbox: 0.2251 d1.dn_loss_iou: 0.2872 d2.dn_loss_cls: 0.1365 d2.dn_loss_bbox: 0.2036 d2.dn_loss_iou: 0.2649 d3.dn_loss_cls: 0.1276 d3.dn_loss_bbox: 0.1942 d3.dn_loss_iou: 0.2558 d4.dn_loss_cls: 0.1236 d4.dn_loss_bbox: 0.1926 d4.dn_loss_iou: 0.2541 d1.loss_lmm_region: 0.1679 loss_lmm_image: 0.8032 +2024/11/07 15:56:59 - mmengine - INFO - Iter(train) [ 41100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:33:39 time: 1.0460 data_time: 0.0179 memory: 24405 grad_norm: 21.6669 loss: 9.9401 loss_cls: 0.2949 loss_bbox: 0.1679 loss_iou: 0.2913 d0.loss_cls: 0.3409 d0.loss_bbox: 0.1742 d0.loss_iou: 0.3010 d1.loss_cls: 0.3225 d1.loss_bbox: 0.1635 d1.loss_iou: 0.2906 d2.loss_cls: 0.3106 d2.loss_bbox: 0.1631 d2.loss_iou: 0.2880 d3.loss_cls: 0.3062 d3.loss_bbox: 0.1663 d3.loss_iou: 0.2896 d4.loss_cls: 0.2989 d4.loss_bbox: 0.1688 d4.loss_iou: 0.2904 enc_loss_cls: 0.3542 enc_loss_bbox: 0.1928 enc_loss_iou: 0.3229 dn_loss_cls: 0.0708 dn_loss_bbox: 0.1790 dn_loss_iou: 0.2305 d0.dn_loss_cls: 0.1655 d0.dn_loss_bbox: 0.3305 d0.dn_loss_iou: 0.3802 d1.dn_loss_cls: 0.1021 d1.dn_loss_bbox: 0.2086 d1.dn_loss_iou: 0.2620 d2.dn_loss_cls: 0.0841 d2.dn_loss_bbox: 0.1858 d2.dn_loss_iou: 0.2383 d3.dn_loss_cls: 0.0757 d3.dn_loss_bbox: 0.1805 d3.dn_loss_iou: 0.2319 d4.dn_loss_cls: 0.0719 d4.dn_loss_bbox: 0.1791 d4.dn_loss_iou: 0.2304 d1.loss_lmm_region: 0.1606 loss_lmm_image: 0.8739 +2024/11/07 15:58:41 - mmengine - INFO - Iter(train) [ 41200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:31:49 time: 1.0230 data_time: 0.0182 memory: 23440 grad_norm: 22.2730 loss: 10.0669 loss_cls: 0.3050 loss_bbox: 0.1616 loss_iou: 0.2828 d0.loss_cls: 0.3420 d0.loss_bbox: 0.1848 d0.loss_iou: 0.2998 d1.loss_cls: 0.3270 d1.loss_bbox: 0.1656 d1.loss_iou: 0.2922 d2.loss_cls: 0.3125 d2.loss_bbox: 0.1666 d2.loss_iou: 0.2873 d3.loss_cls: 0.3108 d3.loss_bbox: 0.1628 d3.loss_iou: 0.2839 d4.loss_cls: 0.3051 d4.loss_bbox: 0.1610 d4.loss_iou: 0.2836 enc_loss_cls: 0.3559 enc_loss_bbox: 0.1955 enc_loss_iou: 0.3249 dn_loss_cls: 0.1065 dn_loss_bbox: 0.1768 dn_loss_iou: 0.2319 d0.dn_loss_cls: 0.1891 d0.dn_loss_bbox: 0.3302 d0.dn_loss_iou: 0.3849 d1.dn_loss_cls: 0.1409 d1.dn_loss_bbox: 0.2089 d1.dn_loss_iou: 0.2659 d2.dn_loss_cls: 0.1220 d2.dn_loss_bbox: 0.1864 d2.dn_loss_iou: 0.2418 d3.dn_loss_cls: 0.1098 d3.dn_loss_bbox: 0.1777 d3.dn_loss_iou: 0.2332 d4.dn_loss_cls: 0.1063 d4.dn_loss_bbox: 0.1766 d4.dn_loss_iou: 0.2318 d1.loss_lmm_region: 0.1510 loss_lmm_image: 0.7846 +2024/11/07 16:00:24 - mmengine - INFO - Iter(train) [ 41300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:30:00 time: 1.0298 data_time: 0.0180 memory: 24261 grad_norm: 20.2770 loss: 9.8948 loss_cls: 0.3180 loss_bbox: 0.1484 loss_iou: 0.2870 d0.loss_cls: 0.3526 d0.loss_bbox: 0.1552 d0.loss_iou: 0.3059 d1.loss_cls: 0.3322 d1.loss_bbox: 0.1517 d1.loss_iou: 0.2939 d2.loss_cls: 0.3286 d2.loss_bbox: 0.1502 d2.loss_iou: 0.2884 d3.loss_cls: 0.3239 d3.loss_bbox: 0.1465 d3.loss_iou: 0.2864 d4.loss_cls: 0.3190 d4.loss_bbox: 0.1480 d4.loss_iou: 0.2869 enc_loss_cls: 0.3727 enc_loss_bbox: 0.1723 enc_loss_iou: 0.3299 dn_loss_cls: 0.0969 dn_loss_bbox: 0.1553 dn_loss_iou: 0.2242 d0.dn_loss_cls: 0.1822 d0.dn_loss_bbox: 0.2948 d0.dn_loss_iou: 0.3748 d1.dn_loss_cls: 0.1227 d1.dn_loss_bbox: 0.1850 d1.dn_loss_iou: 0.2573 d2.dn_loss_cls: 0.1088 d2.dn_loss_bbox: 0.1641 d2.dn_loss_iou: 0.2328 d3.dn_loss_cls: 0.1002 d3.dn_loss_bbox: 0.1560 d3.dn_loss_iou: 0.2250 d4.dn_loss_cls: 0.0964 d4.dn_loss_bbox: 0.1553 d4.dn_loss_iou: 0.2241 d1.loss_lmm_region: 0.1648 loss_lmm_image: 0.8768 +2024/11/07 16:02:07 - mmengine - INFO - Iter(train) [ 41400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:28:14 time: 1.0202 data_time: 0.0180 memory: 24289 grad_norm: 23.8770 loss: 8.8816 loss_cls: 0.2663 loss_bbox: 0.1193 loss_iou: 0.2262 d0.loss_cls: 0.2860 d0.loss_bbox: 0.1350 d0.loss_iou: 0.2434 d1.loss_cls: 0.2766 d1.loss_bbox: 0.1293 d1.loss_iou: 0.2333 d2.loss_cls: 0.2720 d2.loss_bbox: 0.1224 d2.loss_iou: 0.2275 d3.loss_cls: 0.2697 d3.loss_bbox: 0.1201 d3.loss_iou: 0.2269 d4.loss_cls: 0.2682 d4.loss_bbox: 0.1187 d4.loss_iou: 0.2249 enc_loss_cls: 0.3086 enc_loss_bbox: 0.1478 enc_loss_iou: 0.2604 dn_loss_cls: 0.0762 dn_loss_bbox: 0.1633 dn_loss_iou: 0.2302 d0.dn_loss_cls: 0.1731 d0.dn_loss_bbox: 0.3124 d0.dn_loss_iou: 0.3856 d1.dn_loss_cls: 0.1105 d1.dn_loss_bbox: 0.1981 d1.dn_loss_iou: 0.2669 d2.dn_loss_cls: 0.0930 d2.dn_loss_bbox: 0.1739 d2.dn_loss_iou: 0.2414 d3.dn_loss_cls: 0.0813 d3.dn_loss_bbox: 0.1648 d3.dn_loss_iou: 0.2320 d4.dn_loss_cls: 0.0779 d4.dn_loss_bbox: 0.1633 d4.dn_loss_iou: 0.2301 d1.loss_lmm_region: 0.1891 loss_lmm_image: 0.8360 +2024/11/07 16:03:50 - mmengine - INFO - Iter(train) [ 41500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:26:27 time: 1.0314 data_time: 0.0181 memory: 24160 grad_norm: 25.3023 loss: 9.8274 loss_cls: 0.3208 loss_bbox: 0.1293 loss_iou: 0.2470 d0.loss_cls: 0.3559 d0.loss_bbox: 0.1402 d0.loss_iou: 0.2613 d1.loss_cls: 0.3376 d1.loss_bbox: 0.1332 d1.loss_iou: 0.2519 d2.loss_cls: 0.3262 d2.loss_bbox: 0.1318 d2.loss_iou: 0.2503 d3.loss_cls: 0.3234 d3.loss_bbox: 0.1301 d3.loss_iou: 0.2499 d4.loss_cls: 0.3215 d4.loss_bbox: 0.1289 d4.loss_iou: 0.2475 enc_loss_cls: 0.3674 enc_loss_bbox: 0.1590 enc_loss_iou: 0.2901 dn_loss_cls: 0.1362 dn_loss_bbox: 0.1683 dn_loss_iou: 0.2201 d0.dn_loss_cls: 0.2047 d0.dn_loss_bbox: 0.3191 d0.dn_loss_iou: 0.3729 d1.dn_loss_cls: 0.1575 d1.dn_loss_bbox: 0.1993 d1.dn_loss_iou: 0.2538 d2.dn_loss_cls: 0.1446 d2.dn_loss_bbox: 0.1776 d2.dn_loss_iou: 0.2297 d3.dn_loss_cls: 0.1397 d3.dn_loss_bbox: 0.1696 d3.dn_loss_iou: 0.2220 d4.dn_loss_cls: 0.1371 d4.dn_loss_bbox: 0.1684 d4.dn_loss_iou: 0.2201 d1.loss_lmm_region: 0.1547 loss_lmm_image: 0.9285 +2024/11/07 16:05:33 - mmengine - INFO - Iter(train) [ 41600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:24:37 time: 1.0193 data_time: 0.0179 memory: 24077 grad_norm: 20.9575 loss: 9.9906 loss_cls: 0.3021 loss_bbox: 0.1534 loss_iou: 0.2682 d0.loss_cls: 0.3371 d0.loss_bbox: 0.1649 d0.loss_iou: 0.2840 d1.loss_cls: 0.3238 d1.loss_bbox: 0.1572 d1.loss_iou: 0.2749 d2.loss_cls: 0.3088 d2.loss_bbox: 0.1538 d2.loss_iou: 0.2697 d3.loss_cls: 0.3069 d3.loss_bbox: 0.1526 d3.loss_iou: 0.2673 d4.loss_cls: 0.3019 d4.loss_bbox: 0.1537 d4.loss_iou: 0.2694 enc_loss_cls: 0.3536 enc_loss_bbox: 0.1811 enc_loss_iou: 0.2999 dn_loss_cls: 0.0890 dn_loss_bbox: 0.1863 dn_loss_iou: 0.2320 d0.dn_loss_cls: 0.1746 d0.dn_loss_bbox: 0.3568 d0.dn_loss_iou: 0.3952 d1.dn_loss_cls: 0.1237 d1.dn_loss_bbox: 0.2266 d1.dn_loss_iou: 0.2675 d2.dn_loss_cls: 0.1062 d2.dn_loss_bbox: 0.1991 d2.dn_loss_iou: 0.2417 d3.dn_loss_cls: 0.0949 d3.dn_loss_bbox: 0.1868 d3.dn_loss_iou: 0.2333 d4.dn_loss_cls: 0.0888 d4.dn_loss_bbox: 0.1864 d4.dn_loss_iou: 0.2321 d1.loss_lmm_region: 0.1713 loss_lmm_image: 0.9141 +2024/11/07 16:07:15 - mmengine - INFO - Iter(train) [ 41700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:22:48 time: 1.0251 data_time: 0.0182 memory: 22669 grad_norm: 21.6492 loss: 10.7021 loss_cls: 0.3308 loss_bbox: 0.1805 loss_iou: 0.3089 d0.loss_cls: 0.3568 d0.loss_bbox: 0.2019 d0.loss_iou: 0.3345 d1.loss_cls: 0.3442 d1.loss_bbox: 0.1813 d1.loss_iou: 0.3146 d2.loss_cls: 0.3299 d2.loss_bbox: 0.1815 d2.loss_iou: 0.3134 d3.loss_cls: 0.3295 d3.loss_bbox: 0.1828 d3.loss_iou: 0.3100 d4.loss_cls: 0.3304 d4.loss_bbox: 0.1805 d4.loss_iou: 0.3083 enc_loss_cls: 0.3798 enc_loss_bbox: 0.2068 enc_loss_iou: 0.3499 dn_loss_cls: 0.0951 dn_loss_bbox: 0.1912 dn_loss_iou: 0.2462 d0.dn_loss_cls: 0.1892 d0.dn_loss_bbox: 0.3608 d0.dn_loss_iou: 0.4029 d1.dn_loss_cls: 0.1323 d1.dn_loss_bbox: 0.2280 d1.dn_loss_iou: 0.2805 d2.dn_loss_cls: 0.1113 d2.dn_loss_bbox: 0.2015 d2.dn_loss_iou: 0.2548 d3.dn_loss_cls: 0.1015 d3.dn_loss_bbox: 0.1934 d3.dn_loss_iou: 0.2484 d4.dn_loss_cls: 0.0969 d4.dn_loss_bbox: 0.1913 d4.dn_loss_iou: 0.2462 d1.loss_lmm_region: 0.1787 loss_lmm_image: 0.7955 +2024/11/07 16:08:58 - mmengine - INFO - Iter(train) [ 41800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:21:01 time: 1.0170 data_time: 0.0181 memory: 24531 grad_norm: 28.2017 loss: 9.4582 loss_cls: 0.2891 loss_bbox: 0.1449 loss_iou: 0.2612 d0.loss_cls: 0.3233 d0.loss_bbox: 0.1547 d0.loss_iou: 0.2783 d1.loss_cls: 0.3009 d1.loss_bbox: 0.1504 d1.loss_iou: 0.2696 d2.loss_cls: 0.2982 d2.loss_bbox: 0.1474 d2.loss_iou: 0.2631 d3.loss_cls: 0.2959 d3.loss_bbox: 0.1430 d3.loss_iou: 0.2617 d4.loss_cls: 0.2910 d4.loss_bbox: 0.1427 d4.loss_iou: 0.2614 enc_loss_cls: 0.3462 enc_loss_bbox: 0.1784 enc_loss_iou: 0.3090 dn_loss_cls: 0.0969 dn_loss_bbox: 0.1693 dn_loss_iou: 0.2151 d0.dn_loss_cls: 0.1765 d0.dn_loss_bbox: 0.3010 d0.dn_loss_iou: 0.3506 d1.dn_loss_cls: 0.1194 d1.dn_loss_bbox: 0.2013 d1.dn_loss_iou: 0.2469 d2.dn_loss_cls: 0.1051 d2.dn_loss_bbox: 0.1765 d2.dn_loss_iou: 0.2231 d3.dn_loss_cls: 0.0999 d3.dn_loss_bbox: 0.1701 d3.dn_loss_iou: 0.2161 d4.dn_loss_cls: 0.0976 d4.dn_loss_bbox: 0.1694 d4.dn_loss_iou: 0.2150 d1.loss_lmm_region: 0.1759 loss_lmm_image: 0.8222 +2024/11/07 16:10:42 - mmengine - INFO - Iter(train) [ 41900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:19:14 time: 1.0293 data_time: 0.0182 memory: 23192 grad_norm: 22.5879 loss: 9.8013 loss_cls: 0.3109 loss_bbox: 0.1396 loss_iou: 0.2659 d0.loss_cls: 0.3399 d0.loss_bbox: 0.1564 d0.loss_iou: 0.2842 d1.loss_cls: 0.3260 d1.loss_bbox: 0.1486 d1.loss_iou: 0.2768 d2.loss_cls: 0.3199 d2.loss_bbox: 0.1430 d2.loss_iou: 0.2719 d3.loss_cls: 0.3144 d3.loss_bbox: 0.1421 d3.loss_iou: 0.2681 d4.loss_cls: 0.3084 d4.loss_bbox: 0.1412 d4.loss_iou: 0.2693 enc_loss_cls: 0.3505 enc_loss_bbox: 0.1758 enc_loss_iou: 0.3080 dn_loss_cls: 0.0849 dn_loss_bbox: 0.1876 dn_loss_iou: 0.2339 d0.dn_loss_cls: 0.1772 d0.dn_loss_bbox: 0.3474 d0.dn_loss_iou: 0.3862 d1.dn_loss_cls: 0.1194 d1.dn_loss_bbox: 0.2187 d1.dn_loss_iou: 0.2653 d2.dn_loss_cls: 0.1022 d2.dn_loss_bbox: 0.1968 d2.dn_loss_iou: 0.2425 d3.dn_loss_cls: 0.0910 d3.dn_loss_bbox: 0.1880 d3.dn_loss_iou: 0.2352 d4.dn_loss_cls: 0.0858 d4.dn_loss_bbox: 0.1877 d4.dn_loss_iou: 0.2339 d1.loss_lmm_region: 0.1372 loss_lmm_image: 0.8197 +2024/11/07 16:12:24 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/07 16:12:24 - mmengine - INFO - Iter(train) [ 42000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:17:25 time: 1.0283 data_time: 0.0183 memory: 24010 grad_norm: 27.7749 loss: 10.7983 loss_cls: 0.3117 loss_bbox: 0.1793 loss_iou: 0.3278 d0.loss_cls: 0.3465 d0.loss_bbox: 0.1950 d0.loss_iou: 0.3455 d1.loss_cls: 0.3286 d1.loss_bbox: 0.1856 d1.loss_iou: 0.3358 d2.loss_cls: 0.3215 d2.loss_bbox: 0.1823 d2.loss_iou: 0.3308 d3.loss_cls: 0.3154 d3.loss_bbox: 0.1817 d3.loss_iou: 0.3294 d4.loss_cls: 0.3123 d4.loss_bbox: 0.1795 d4.loss_iou: 0.3284 enc_loss_cls: 0.3676 enc_loss_bbox: 0.2049 enc_loss_iou: 0.3648 dn_loss_cls: 0.0869 dn_loss_bbox: 0.1953 dn_loss_iou: 0.2607 d0.dn_loss_cls: 0.1775 d0.dn_loss_bbox: 0.3592 d0.dn_loss_iou: 0.4253 d1.dn_loss_cls: 0.1190 d1.dn_loss_bbox: 0.2297 d1.dn_loss_iou: 0.2952 d2.dn_loss_cls: 0.1009 d2.dn_loss_bbox: 0.2056 d2.dn_loss_iou: 0.2703 d3.dn_loss_cls: 0.0929 d3.dn_loss_bbox: 0.1961 d3.dn_loss_iou: 0.2623 d4.dn_loss_cls: 0.0878 d4.dn_loss_bbox: 0.1953 d4.dn_loss_iou: 0.2607 d1.loss_lmm_region: 0.1415 loss_lmm_image: 0.8618 +2024/11/07 16:14:07 - mmengine - INFO - Iter(train) [ 42100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:15:38 time: 1.0371 data_time: 0.0179 memory: 23543 grad_norm: 23.9818 loss: 9.3959 loss_cls: 0.2928 loss_bbox: 0.1520 loss_iou: 0.2384 d0.loss_cls: 0.3228 d0.loss_bbox: 0.1647 d0.loss_iou: 0.2515 d1.loss_cls: 0.3039 d1.loss_bbox: 0.1559 d1.loss_iou: 0.2432 d2.loss_cls: 0.3010 d2.loss_bbox: 0.1513 d2.loss_iou: 0.2386 d3.loss_cls: 0.3014 d3.loss_bbox: 0.1511 d3.loss_iou: 0.2354 d4.loss_cls: 0.2981 d4.loss_bbox: 0.1508 d4.loss_iou: 0.2376 enc_loss_cls: 0.3401 enc_loss_bbox: 0.1833 enc_loss_iou: 0.2842 dn_loss_cls: 0.0961 dn_loss_bbox: 0.1617 dn_loss_iou: 0.2094 d0.dn_loss_cls: 0.1887 d0.dn_loss_bbox: 0.3212 d0.dn_loss_iou: 0.3664 d1.dn_loss_cls: 0.1335 d1.dn_loss_bbox: 0.1953 d1.dn_loss_iou: 0.2459 d2.dn_loss_cls: 0.1124 d2.dn_loss_bbox: 0.1728 d2.dn_loss_iou: 0.2199 d3.dn_loss_cls: 0.1028 d3.dn_loss_bbox: 0.1636 d3.dn_loss_iou: 0.2108 d4.dn_loss_cls: 0.0977 d4.dn_loss_bbox: 0.1616 d4.dn_loss_iou: 0.2094 d1.loss_lmm_region: 0.1560 loss_lmm_image: 0.8728 +2024/11/07 16:15:50 - mmengine - INFO - Iter(train) [ 42200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:13:50 time: 1.0265 data_time: 0.0180 memory: 24063 grad_norm: 24.6488 loss: 11.4941 loss_cls: 0.3377 loss_bbox: 0.2034 loss_iou: 0.3301 d0.loss_cls: 0.3796 d0.loss_bbox: 0.2182 d0.loss_iou: 0.3510 d1.loss_cls: 0.3542 d1.loss_bbox: 0.2067 d1.loss_iou: 0.3339 d2.loss_cls: 0.3466 d2.loss_bbox: 0.2039 d2.loss_iou: 0.3294 d3.loss_cls: 0.3416 d3.loss_bbox: 0.2021 d3.loss_iou: 0.3299 d4.loss_cls: 0.3356 d4.loss_bbox: 0.2043 d4.loss_iou: 0.3326 enc_loss_cls: 0.4060 enc_loss_bbox: 0.2289 enc_loss_iou: 0.3651 dn_loss_cls: 0.0894 dn_loss_bbox: 0.2345 dn_loss_iou: 0.2698 d0.dn_loss_cls: 0.1857 d0.dn_loss_bbox: 0.4115 d0.dn_loss_iou: 0.4316 d1.dn_loss_cls: 0.1248 d1.dn_loss_bbox: 0.2736 d1.dn_loss_iou: 0.3061 d2.dn_loss_cls: 0.1051 d2.dn_loss_bbox: 0.2431 d2.dn_loss_iou: 0.2778 d3.dn_loss_cls: 0.0959 d3.dn_loss_bbox: 0.2362 d3.dn_loss_iou: 0.2717 d4.dn_loss_cls: 0.0905 d4.dn_loss_bbox: 0.2344 d4.dn_loss_iou: 0.2696 d1.loss_lmm_region: 0.1360 loss_lmm_image: 0.8658 +2024/11/07 16:17:32 - mmengine - INFO - Iter(train) [ 42300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:12:00 time: 1.0210 data_time: 0.0180 memory: 23152 grad_norm: 24.2430 loss: 10.0948 loss_cls: 0.3246 loss_bbox: 0.1494 loss_iou: 0.2646 d0.loss_cls: 0.3616 d0.loss_bbox: 0.1613 d0.loss_iou: 0.2838 d1.loss_cls: 0.3366 d1.loss_bbox: 0.1589 d1.loss_iou: 0.2772 d2.loss_cls: 0.3319 d2.loss_bbox: 0.1508 d2.loss_iou: 0.2679 d3.loss_cls: 0.3285 d3.loss_bbox: 0.1497 d3.loss_iou: 0.2643 d4.loss_cls: 0.3230 d4.loss_bbox: 0.1504 d4.loss_iou: 0.2649 enc_loss_cls: 0.3757 enc_loss_bbox: 0.1858 enc_loss_iou: 0.3096 dn_loss_cls: 0.0966 dn_loss_bbox: 0.1901 dn_loss_iou: 0.2282 d0.dn_loss_cls: 0.1861 d0.dn_loss_bbox: 0.3555 d0.dn_loss_iou: 0.3787 d1.dn_loss_cls: 0.1327 d1.dn_loss_bbox: 0.2295 d1.dn_loss_iou: 0.2632 d2.dn_loss_cls: 0.1166 d2.dn_loss_bbox: 0.2021 d2.dn_loss_iou: 0.2384 d3.dn_loss_cls: 0.1043 d3.dn_loss_bbox: 0.1920 d3.dn_loss_iou: 0.2296 d4.dn_loss_cls: 0.0977 d4.dn_loss_bbox: 0.1902 d4.dn_loss_iou: 0.2281 d1.loss_lmm_region: 0.1801 loss_lmm_image: 0.8344 +2024/11/07 16:19:16 - mmengine - INFO - Iter(train) [ 42400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:10:13 time: 1.0272 data_time: 0.0180 memory: 24324 grad_norm: 20.6810 loss: 10.2677 loss_cls: 0.3477 loss_bbox: 0.1588 loss_iou: 0.2652 d0.loss_cls: 0.3789 d0.loss_bbox: 0.1798 d0.loss_iou: 0.2888 d1.loss_cls: 0.3659 d1.loss_bbox: 0.1659 d1.loss_iou: 0.2710 d2.loss_cls: 0.3570 d2.loss_bbox: 0.1578 d2.loss_iou: 0.2656 d3.loss_cls: 0.3490 d3.loss_bbox: 0.1618 d3.loss_iou: 0.2677 d4.loss_cls: 0.3494 d4.loss_bbox: 0.1585 d4.loss_iou: 0.2645 enc_loss_cls: 0.3976 enc_loss_bbox: 0.2013 enc_loss_iou: 0.3187 dn_loss_cls: 0.0908 dn_loss_bbox: 0.1872 dn_loss_iou: 0.2271 d0.dn_loss_cls: 0.1858 d0.dn_loss_bbox: 0.3472 d0.dn_loss_iou: 0.3795 d1.dn_loss_cls: 0.1259 d1.dn_loss_bbox: 0.2223 d1.dn_loss_iou: 0.2596 d2.dn_loss_cls: 0.1045 d2.dn_loss_bbox: 0.1959 d2.dn_loss_iou: 0.2356 d3.dn_loss_cls: 0.0963 d3.dn_loss_bbox: 0.1876 d3.dn_loss_iou: 0.2279 d4.dn_loss_cls: 0.0912 d4.dn_loss_bbox: 0.1873 d4.dn_loss_iou: 0.2273 d1.loss_lmm_region: 0.1676 loss_lmm_image: 0.8500 +2024/11/07 16:20:58 - mmengine - INFO - Iter(train) [ 42500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:08:25 time: 1.0197 data_time: 0.0181 memory: 22499 grad_norm: 24.7964 loss: 10.6068 loss_cls: 0.3133 loss_bbox: 0.1647 loss_iou: 0.2945 d0.loss_cls: 0.3433 d0.loss_bbox: 0.1888 d0.loss_iou: 0.3141 d1.loss_cls: 0.3309 d1.loss_bbox: 0.1677 d1.loss_iou: 0.2997 d2.loss_cls: 0.3234 d2.loss_bbox: 0.1645 d2.loss_iou: 0.2951 d3.loss_cls: 0.3187 d3.loss_bbox: 0.1647 d3.loss_iou: 0.2947 d4.loss_cls: 0.3140 d4.loss_bbox: 0.1633 d4.loss_iou: 0.2956 enc_loss_cls: 0.3627 enc_loss_bbox: 0.1958 enc_loss_iou: 0.3322 dn_loss_cls: 0.0913 dn_loss_bbox: 0.2192 dn_loss_iou: 0.2579 d0.dn_loss_cls: 0.1706 d0.dn_loss_bbox: 0.3873 d0.dn_loss_iou: 0.4183 d1.dn_loss_cls: 0.1198 d1.dn_loss_bbox: 0.2539 d1.dn_loss_iou: 0.2921 d2.dn_loss_cls: 0.1048 d2.dn_loss_bbox: 0.2302 d2.dn_loss_iou: 0.2671 d3.dn_loss_cls: 0.0970 d3.dn_loss_bbox: 0.2210 d3.dn_loss_iou: 0.2595 d4.dn_loss_cls: 0.0916 d4.dn_loss_bbox: 0.2190 d4.dn_loss_iou: 0.2576 d1.loss_lmm_region: 0.1522 loss_lmm_image: 0.8545 +2024/11/07 16:22:41 - mmengine - INFO - Iter(train) [ 42600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:06:38 time: 1.0242 data_time: 0.0180 memory: 24610 grad_norm: 21.1695 loss: 8.9590 loss_cls: 0.2990 loss_bbox: 0.1239 loss_iou: 0.2374 d0.loss_cls: 0.3385 d0.loss_bbox: 0.1351 d0.loss_iou: 0.2588 d1.loss_cls: 0.3139 d1.loss_bbox: 0.1313 d1.loss_iou: 0.2491 d2.loss_cls: 0.3060 d2.loss_bbox: 0.1255 d2.loss_iou: 0.2407 d3.loss_cls: 0.3040 d3.loss_bbox: 0.1258 d3.loss_iou: 0.2398 d4.loss_cls: 0.3007 d4.loss_bbox: 0.1239 d4.loss_iou: 0.2387 enc_loss_cls: 0.3601 enc_loss_bbox: 0.1518 enc_loss_iou: 0.2866 dn_loss_cls: 0.0952 dn_loss_bbox: 0.1352 dn_loss_iou: 0.1964 d0.dn_loss_cls: 0.1757 d0.dn_loss_bbox: 0.2823 d0.dn_loss_iou: 0.3434 d1.dn_loss_cls: 0.1252 d1.dn_loss_bbox: 0.1688 d1.dn_loss_iou: 0.2306 d2.dn_loss_cls: 0.1092 d2.dn_loss_bbox: 0.1442 d2.dn_loss_iou: 0.2055 d3.dn_loss_cls: 0.1001 d3.dn_loss_bbox: 0.1364 d3.dn_loss_iou: 0.1978 d4.dn_loss_cls: 0.0944 d4.dn_loss_bbox: 0.1354 d4.dn_loss_iou: 0.1965 d1.loss_lmm_region: 0.1615 loss_lmm_image: 0.8345 +2024/11/07 16:24:24 - mmengine - INFO - Iter(train) [ 42700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:04:48 time: 1.0221 data_time: 0.0183 memory: 23610 grad_norm: 28.4878 loss: 9.1941 loss_cls: 0.2679 loss_bbox: 0.1257 loss_iou: 0.2319 d0.loss_cls: 0.2987 d0.loss_bbox: 0.1396 d0.loss_iou: 0.2455 d1.loss_cls: 0.2822 d1.loss_bbox: 0.1342 d1.loss_iou: 0.2388 d2.loss_cls: 0.2773 d2.loss_bbox: 0.1286 d2.loss_iou: 0.2354 d3.loss_cls: 0.2743 d3.loss_bbox: 0.1260 d3.loss_iou: 0.2326 d4.loss_cls: 0.2706 d4.loss_bbox: 0.1261 d4.loss_iou: 0.2320 enc_loss_cls: 0.3165 enc_loss_bbox: 0.1536 enc_loss_iou: 0.2623 dn_loss_cls: 0.0781 dn_loss_bbox: 0.1981 dn_loss_iou: 0.2315 d0.dn_loss_cls: 0.1695 d0.dn_loss_bbox: 0.3640 d0.dn_loss_iou: 0.3803 d1.dn_loss_cls: 0.1113 d1.dn_loss_bbox: 0.2319 d1.dn_loss_iou: 0.2626 d2.dn_loss_cls: 0.0940 d2.dn_loss_bbox: 0.2108 d2.dn_loss_iou: 0.2409 d3.dn_loss_cls: 0.0848 d3.dn_loss_bbox: 0.2003 d3.dn_loss_iou: 0.2330 d4.dn_loss_cls: 0.0798 d4.dn_loss_bbox: 0.1982 d4.dn_loss_iou: 0.2314 d1.loss_lmm_region: 0.1638 loss_lmm_image: 0.8303 +2024/11/07 16:26:07 - mmengine - INFO - Iter(train) [ 42800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:03:00 time: 1.0275 data_time: 0.0180 memory: 23792 grad_norm: 23.1611 loss: 11.2186 loss_cls: 0.3598 loss_bbox: 0.1876 loss_iou: 0.3191 d0.loss_cls: 0.4033 d0.loss_bbox: 0.2009 d0.loss_iou: 0.3353 d1.loss_cls: 0.3813 d1.loss_bbox: 0.1948 d1.loss_iou: 0.3269 d2.loss_cls: 0.3694 d2.loss_bbox: 0.1889 d2.loss_iou: 0.3221 d3.loss_cls: 0.3682 d3.loss_bbox: 0.1856 d3.loss_iou: 0.3163 d4.loss_cls: 0.3624 d4.loss_bbox: 0.1867 d4.loss_iou: 0.3181 enc_loss_cls: 0.4185 enc_loss_bbox: 0.2107 enc_loss_iou: 0.3560 dn_loss_cls: 0.1065 dn_loss_bbox: 0.1880 dn_loss_iou: 0.2565 d0.dn_loss_cls: 0.1998 d0.dn_loss_bbox: 0.3367 d0.dn_loss_iou: 0.4184 d1.dn_loss_cls: 0.1406 d1.dn_loss_bbox: 0.2221 d1.dn_loss_iou: 0.2948 d2.dn_loss_cls: 0.1206 d2.dn_loss_bbox: 0.1960 d2.dn_loss_iou: 0.2672 d3.dn_loss_cls: 0.1112 d3.dn_loss_bbox: 0.1903 d3.dn_loss_iou: 0.2590 d4.dn_loss_cls: 0.1063 d4.dn_loss_bbox: 0.1879 d4.dn_loss_iou: 0.2567 d1.loss_lmm_region: 0.1871 loss_lmm_image: 0.8609 +2024/11/07 16:27:50 - mmengine - INFO - Iter(train) [ 42900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:01:13 time: 1.0343 data_time: 0.0182 memory: 23519 grad_norm: 25.7130 loss: 10.2461 loss_cls: 0.3087 loss_bbox: 0.1469 loss_iou: 0.2796 d0.loss_cls: 0.3402 d0.loss_bbox: 0.1623 d0.loss_iou: 0.3001 d1.loss_cls: 0.3317 d1.loss_bbox: 0.1515 d1.loss_iou: 0.2875 d2.loss_cls: 0.3223 d2.loss_bbox: 0.1467 d2.loss_iou: 0.2810 d3.loss_cls: 0.3143 d3.loss_bbox: 0.1469 d3.loss_iou: 0.2803 d4.loss_cls: 0.3110 d4.loss_bbox: 0.1463 d4.loss_iou: 0.2795 enc_loss_cls: 0.3634 enc_loss_bbox: 0.1663 enc_loss_iou: 0.3143 dn_loss_cls: 0.1430 dn_loss_bbox: 0.1731 dn_loss_iou: 0.2281 d0.dn_loss_cls: 0.2437 d0.dn_loss_bbox: 0.3307 d0.dn_loss_iou: 0.3778 d1.dn_loss_cls: 0.1837 d1.dn_loss_bbox: 0.2086 d1.dn_loss_iou: 0.2607 d2.dn_loss_cls: 0.1597 d2.dn_loss_bbox: 0.1832 d2.dn_loss_iou: 0.2367 d3.dn_loss_cls: 0.1498 d3.dn_loss_bbox: 0.1743 d3.dn_loss_iou: 0.2294 d4.dn_loss_cls: 0.1421 d4.dn_loss_bbox: 0.1730 d4.dn_loss_iou: 0.2280 d1.loss_lmm_region: 0.1884 loss_lmm_image: 0.8513 +2024/11/07 16:29:33 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/07 16:29:33 - mmengine - INFO - Iter(train) [ 43000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:59:26 time: 1.0332 data_time: 0.0181 memory: 23903 grad_norm: 22.4431 loss: 10.4443 loss_cls: 0.3415 loss_bbox: 0.1645 loss_iou: 0.3010 d0.loss_cls: 0.3799 d0.loss_bbox: 0.1807 d0.loss_iou: 0.3205 d1.loss_cls: 0.3546 d1.loss_bbox: 0.1685 d1.loss_iou: 0.3080 d2.loss_cls: 0.3400 d2.loss_bbox: 0.1715 d2.loss_iou: 0.3062 d3.loss_cls: 0.3382 d3.loss_bbox: 0.1672 d3.loss_iou: 0.3033 d4.loss_cls: 0.3391 d4.loss_bbox: 0.1678 d4.loss_iou: 0.3010 enc_loss_cls: 0.3840 enc_loss_bbox: 0.1992 enc_loss_iou: 0.3478 dn_loss_cls: 0.0873 dn_loss_bbox: 0.1842 dn_loss_iou: 0.2399 d0.dn_loss_cls: 0.1706 d0.dn_loss_bbox: 0.3372 d0.dn_loss_iou: 0.3934 d1.dn_loss_cls: 0.1158 d1.dn_loss_bbox: 0.2170 d1.dn_loss_iou: 0.2747 d2.dn_loss_cls: 0.1014 d2.dn_loss_bbox: 0.1930 d2.dn_loss_iou: 0.2502 d3.dn_loss_cls: 0.0930 d3.dn_loss_bbox: 0.1852 d3.dn_loss_iou: 0.2416 d4.dn_loss_cls: 0.0883 d4.dn_loss_bbox: 0.1843 d4.dn_loss_iou: 0.2401 d1.loss_lmm_region: 0.1374 loss_lmm_image: 0.8254 +2024/11/07 16:31:15 - mmengine - INFO - Iter(train) [ 43100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:57:35 time: 1.0144 data_time: 0.0182 memory: 23232 grad_norm: 21.6343 loss: 9.2121 loss_cls: 0.2709 loss_bbox: 0.1346 loss_iou: 0.2466 d0.loss_cls: 0.3067 d0.loss_bbox: 0.1439 d0.loss_iou: 0.2537 d1.loss_cls: 0.2869 d1.loss_bbox: 0.1368 d1.loss_iou: 0.2491 d2.loss_cls: 0.2794 d2.loss_bbox: 0.1333 d2.loss_iou: 0.2464 d3.loss_cls: 0.2755 d3.loss_bbox: 0.1340 d3.loss_iou: 0.2461 d4.loss_cls: 0.2740 d4.loss_bbox: 0.1321 d4.loss_iou: 0.2447 enc_loss_cls: 0.3184 enc_loss_bbox: 0.1526 enc_loss_iou: 0.2741 dn_loss_cls: 0.0997 dn_loss_bbox: 0.1669 dn_loss_iou: 0.2254 d0.dn_loss_cls: 0.1880 d0.dn_loss_bbox: 0.3113 d0.dn_loss_iou: 0.3779 d1.dn_loss_cls: 0.1332 d1.dn_loss_bbox: 0.1950 d1.dn_loss_iou: 0.2563 d2.dn_loss_cls: 0.1141 d2.dn_loss_bbox: 0.1737 d2.dn_loss_iou: 0.2333 d3.dn_loss_cls: 0.1051 d3.dn_loss_bbox: 0.1680 d3.dn_loss_iou: 0.2269 d4.dn_loss_cls: 0.1017 d4.dn_loss_bbox: 0.1669 d4.dn_loss_iou: 0.2255 d1.loss_lmm_region: 0.1707 loss_lmm_image: 0.8328 +2024/11/07 16:32:58 - mmengine - INFO - Iter(train) [ 43200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:55:49 time: 1.0389 data_time: 0.0183 memory: 23801 grad_norm: 21.3247 loss: 9.7340 loss_cls: 0.2648 loss_bbox: 0.1709 loss_iou: 0.2595 d0.loss_cls: 0.3049 d0.loss_bbox: 0.1743 d0.loss_iou: 0.2701 d1.loss_cls: 0.2860 d1.loss_bbox: 0.1665 d1.loss_iou: 0.2656 d2.loss_cls: 0.2813 d2.loss_bbox: 0.1616 d2.loss_iou: 0.2584 d3.loss_cls: 0.2770 d3.loss_bbox: 0.1618 d3.loss_iou: 0.2571 d4.loss_cls: 0.2678 d4.loss_bbox: 0.1691 d4.loss_iou: 0.2578 enc_loss_cls: 0.3177 enc_loss_bbox: 0.1837 enc_loss_iou: 0.2918 dn_loss_cls: 0.0848 dn_loss_bbox: 0.2035 dn_loss_iou: 0.2432 d0.dn_loss_cls: 0.1820 d0.dn_loss_bbox: 0.3599 d0.dn_loss_iou: 0.3951 d1.dn_loss_cls: 0.1182 d1.dn_loss_bbox: 0.2430 d1.dn_loss_iou: 0.2786 d2.dn_loss_cls: 0.1006 d2.dn_loss_bbox: 0.2140 d2.dn_loss_iou: 0.2529 d3.dn_loss_cls: 0.0897 d3.dn_loss_bbox: 0.2047 d3.dn_loss_iou: 0.2453 d4.dn_loss_cls: 0.0854 d4.dn_loss_bbox: 0.2035 d4.dn_loss_iou: 0.2433 d1.loss_lmm_region: 0.1444 loss_lmm_image: 0.7942 +2024/11/07 16:34:40 - mmengine - INFO - Iter(train) [ 43300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:54:00 time: 1.0226 data_time: 0.0181 memory: 23189 grad_norm: 19.6816 loss: 8.5767 loss_cls: 0.2707 loss_bbox: 0.1097 loss_iou: 0.2107 d0.loss_cls: 0.3078 d0.loss_bbox: 0.1304 d0.loss_iou: 0.2368 d1.loss_cls: 0.2862 d1.loss_bbox: 0.1219 d1.loss_iou: 0.2237 d2.loss_cls: 0.2787 d2.loss_bbox: 0.1136 d2.loss_iou: 0.2181 d3.loss_cls: 0.2777 d3.loss_bbox: 0.1110 d3.loss_iou: 0.2123 d4.loss_cls: 0.2732 d4.loss_bbox: 0.1090 d4.loss_iou: 0.2091 enc_loss_cls: 0.3139 enc_loss_bbox: 0.1485 enc_loss_iou: 0.2618 dn_loss_cls: 0.0752 dn_loss_bbox: 0.1598 dn_loss_iou: 0.2027 d0.dn_loss_cls: 0.1616 d0.dn_loss_bbox: 0.3015 d0.dn_loss_iou: 0.3477 d1.dn_loss_cls: 0.1076 d1.dn_loss_bbox: 0.1909 d1.dn_loss_iou: 0.2360 d2.dn_loss_cls: 0.0892 d2.dn_loss_bbox: 0.1689 d2.dn_loss_iou: 0.2121 d3.dn_loss_cls: 0.0801 d3.dn_loss_bbox: 0.1613 d3.dn_loss_iou: 0.2046 d4.dn_loss_cls: 0.0758 d4.dn_loss_bbox: 0.1599 d4.dn_loss_iou: 0.2027 d1.loss_lmm_region: 0.1367 loss_lmm_image: 0.8776 +2024/11/07 16:36:23 - mmengine - INFO - Iter(train) [ 43400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:52:13 time: 1.0327 data_time: 0.0183 memory: 23433 grad_norm: 24.0367 loss: 10.0672 loss_cls: 0.3073 loss_bbox: 0.1515 loss_iou: 0.2522 d0.loss_cls: 0.3447 d0.loss_bbox: 0.1654 d0.loss_iou: 0.2679 d1.loss_cls: 0.3243 d1.loss_bbox: 0.1553 d1.loss_iou: 0.2592 d2.loss_cls: 0.3129 d2.loss_bbox: 0.1533 d2.loss_iou: 0.2556 d3.loss_cls: 0.3096 d3.loss_bbox: 0.1544 d3.loss_iou: 0.2529 d4.loss_cls: 0.3097 d4.loss_bbox: 0.1511 d4.loss_iou: 0.2511 enc_loss_cls: 0.3661 enc_loss_bbox: 0.1783 enc_loss_iou: 0.2852 dn_loss_cls: 0.1022 dn_loss_bbox: 0.2038 dn_loss_iou: 0.2372 d0.dn_loss_cls: 0.1948 d0.dn_loss_bbox: 0.3686 d0.dn_loss_iou: 0.3876 d1.dn_loss_cls: 0.1368 d1.dn_loss_bbox: 0.2397 d1.dn_loss_iou: 0.2703 d2.dn_loss_cls: 0.1193 d2.dn_loss_bbox: 0.2150 d2.dn_loss_iou: 0.2467 d3.dn_loss_cls: 0.1070 d3.dn_loss_bbox: 0.2067 d3.dn_loss_iou: 0.2393 d4.dn_loss_cls: 0.1033 d4.dn_loss_bbox: 0.2039 d4.dn_loss_iou: 0.2372 d1.loss_lmm_region: 0.1591 loss_lmm_image: 0.8806 +2024/11/07 16:38:06 - mmengine - INFO - Iter(train) [ 43500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:50:23 time: 1.0295 data_time: 0.0181 memory: 23041 grad_norm: 21.3694 loss: 10.5394 loss_cls: 0.3173 loss_bbox: 0.1893 loss_iou: 0.3015 d0.loss_cls: 0.3746 d0.loss_bbox: 0.1856 d0.loss_iou: 0.3022 d1.loss_cls: 0.3453 d1.loss_bbox: 0.1817 d1.loss_iou: 0.3012 d2.loss_cls: 0.3312 d2.loss_bbox: 0.1845 d2.loss_iou: 0.3005 d3.loss_cls: 0.3248 d3.loss_bbox: 0.1861 d3.loss_iou: 0.2990 d4.loss_cls: 0.3217 d4.loss_bbox: 0.1856 d4.loss_iou: 0.2995 enc_loss_cls: 0.3818 enc_loss_bbox: 0.2082 enc_loss_iou: 0.3298 dn_loss_cls: 0.0879 dn_loss_bbox: 0.2014 dn_loss_iou: 0.2418 d0.dn_loss_cls: 0.1724 d0.dn_loss_bbox: 0.3447 d0.dn_loss_iou: 0.3826 d1.dn_loss_cls: 0.1174 d1.dn_loss_bbox: 0.2321 d1.dn_loss_iou: 0.2725 d2.dn_loss_cls: 0.1009 d2.dn_loss_bbox: 0.2107 d2.dn_loss_iou: 0.2501 d3.dn_loss_cls: 0.0931 d3.dn_loss_bbox: 0.2034 d3.dn_loss_iou: 0.2431 d4.dn_loss_cls: 0.0893 d4.dn_loss_bbox: 0.2015 d4.dn_loss_iou: 0.2418 d1.loss_lmm_region: 0.1533 loss_lmm_image: 0.8480 +2024/11/07 16:39:48 - mmengine - INFO - Iter(train) [ 43600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:48:34 time: 1.0146 data_time: 0.0182 memory: 22550 grad_norm: 22.1350 loss: 10.7278 loss_cls: 0.3164 loss_bbox: 0.1775 loss_iou: 0.2909 d0.loss_cls: 0.3525 d0.loss_bbox: 0.1958 d0.loss_iou: 0.3176 d1.loss_cls: 0.3292 d1.loss_bbox: 0.1898 d1.loss_iou: 0.3065 d2.loss_cls: 0.3248 d2.loss_bbox: 0.1828 d2.loss_iou: 0.2985 d3.loss_cls: 0.3219 d3.loss_bbox: 0.1782 d3.loss_iou: 0.2920 d4.loss_cls: 0.3159 d4.loss_bbox: 0.1789 d4.loss_iou: 0.2910 enc_loss_cls: 0.3675 enc_loss_bbox: 0.2095 enc_loss_iou: 0.3347 dn_loss_cls: 0.1057 dn_loss_bbox: 0.2127 dn_loss_iou: 0.2518 d0.dn_loss_cls: 0.1955 d0.dn_loss_bbox: 0.3745 d0.dn_loss_iou: 0.4034 d1.dn_loss_cls: 0.1370 d1.dn_loss_bbox: 0.2447 d1.dn_loss_iou: 0.2838 d2.dn_loss_cls: 0.1209 d2.dn_loss_bbox: 0.2182 d2.dn_loss_iou: 0.2581 d3.dn_loss_cls: 0.1109 d3.dn_loss_bbox: 0.2123 d3.dn_loss_iou: 0.2523 d4.dn_loss_cls: 0.1064 d4.dn_loss_bbox: 0.2126 d4.dn_loss_iou: 0.2518 d1.loss_lmm_region: 0.1666 loss_lmm_image: 0.8366 +2024/11/07 16:41:30 - mmengine - INFO - Iter(train) [ 43700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:46:46 time: 1.0251 data_time: 0.0181 memory: 23641 grad_norm: 21.2903 loss: 8.8854 loss_cls: 0.2711 loss_bbox: 0.1161 loss_iou: 0.2221 d0.loss_cls: 0.2967 d0.loss_bbox: 0.1343 d0.loss_iou: 0.2383 d1.loss_cls: 0.2884 d1.loss_bbox: 0.1248 d1.loss_iou: 0.2289 d2.loss_cls: 0.2807 d2.loss_bbox: 0.1203 d2.loss_iou: 0.2221 d3.loss_cls: 0.2775 d3.loss_bbox: 0.1164 d3.loss_iou: 0.2219 d4.loss_cls: 0.2704 d4.loss_bbox: 0.1172 d4.loss_iou: 0.2225 enc_loss_cls: 0.3142 enc_loss_bbox: 0.1474 enc_loss_iou: 0.2595 dn_loss_cls: 0.1043 dn_loss_bbox: 0.1555 dn_loss_iou: 0.2115 d0.dn_loss_cls: 0.1834 d0.dn_loss_bbox: 0.3232 d0.dn_loss_iou: 0.3680 d1.dn_loss_cls: 0.1340 d1.dn_loss_bbox: 0.1918 d1.dn_loss_iou: 0.2463 d2.dn_loss_cls: 0.1169 d2.dn_loss_bbox: 0.1654 d2.dn_loss_iou: 0.2208 d3.dn_loss_cls: 0.1081 d3.dn_loss_bbox: 0.1571 d3.dn_loss_iou: 0.2135 d4.dn_loss_cls: 0.1055 d4.dn_loss_bbox: 0.1556 d4.dn_loss_iou: 0.2116 d1.loss_lmm_region: 0.1588 loss_lmm_image: 0.8633 +2024/11/07 16:43:13 - mmengine - INFO - Iter(train) [ 43800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:44:58 time: 1.0185 data_time: 0.0183 memory: 23349 grad_norm: 22.5417 loss: 10.3218 loss_cls: 0.3106 loss_bbox: 0.1545 loss_iou: 0.3068 d0.loss_cls: 0.3491 d0.loss_bbox: 0.1650 d0.loss_iou: 0.3157 d1.loss_cls: 0.3302 d1.loss_bbox: 0.1545 d1.loss_iou: 0.3069 d2.loss_cls: 0.3275 d2.loss_bbox: 0.1496 d2.loss_iou: 0.3019 d3.loss_cls: 0.3199 d3.loss_bbox: 0.1503 d3.loss_iou: 0.3011 d4.loss_cls: 0.3111 d4.loss_bbox: 0.1555 d4.loss_iou: 0.3051 enc_loss_cls: 0.3541 enc_loss_bbox: 0.1785 enc_loss_iou: 0.3343 dn_loss_cls: 0.1020 dn_loss_bbox: 0.1863 dn_loss_iou: 0.2473 d0.dn_loss_cls: 0.1812 d0.dn_loss_bbox: 0.3554 d0.dn_loss_iou: 0.4083 d1.dn_loss_cls: 0.1293 d1.dn_loss_bbox: 0.2261 d1.dn_loss_iou: 0.2847 d2.dn_loss_cls: 0.1141 d2.dn_loss_bbox: 0.1968 d2.dn_loss_iou: 0.2575 d3.dn_loss_cls: 0.1067 d3.dn_loss_bbox: 0.1877 d3.dn_loss_iou: 0.2490 d4.dn_loss_cls: 0.1013 d4.dn_loss_bbox: 0.1863 d4.dn_loss_iou: 0.2475 d1.loss_lmm_region: 0.1679 loss_lmm_image: 0.8041 +2024/11/07 16:44:56 - mmengine - INFO - Iter(train) [ 43900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:43:11 time: 1.0317 data_time: 0.0183 memory: 23318 grad_norm: 21.5412 loss: 10.6507 loss_cls: 0.3420 loss_bbox: 0.1591 loss_iou: 0.2982 d0.loss_cls: 0.3825 d0.loss_bbox: 0.1766 d0.loss_iou: 0.3211 d1.loss_cls: 0.3633 d1.loss_bbox: 0.1621 d1.loss_iou: 0.3040 d2.loss_cls: 0.3510 d2.loss_bbox: 0.1623 d2.loss_iou: 0.3013 d3.loss_cls: 0.3464 d3.loss_bbox: 0.1616 d3.loss_iou: 0.3014 d4.loss_cls: 0.3428 d4.loss_bbox: 0.1601 d4.loss_iou: 0.2992 enc_loss_cls: 0.3950 enc_loss_bbox: 0.1952 enc_loss_iou: 0.3513 dn_loss_cls: 0.1045 dn_loss_bbox: 0.1835 dn_loss_iou: 0.2400 d0.dn_loss_cls: 0.1979 d0.dn_loss_bbox: 0.3477 d0.dn_loss_iou: 0.4046 d1.dn_loss_cls: 0.1396 d1.dn_loss_bbox: 0.2209 d1.dn_loss_iou: 0.2784 d2.dn_loss_cls: 0.1212 d2.dn_loss_bbox: 0.1935 d2.dn_loss_iou: 0.2496 d3.dn_loss_cls: 0.1103 d3.dn_loss_bbox: 0.1860 d3.dn_loss_iou: 0.2419 d4.dn_loss_cls: 0.1042 d4.dn_loss_bbox: 0.1836 d4.dn_loss_iou: 0.2400 d1.loss_lmm_region: 0.1641 loss_lmm_image: 0.8626 +2024/11/07 16:46:39 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/07 16:46:39 - mmengine - INFO - Iter(train) [ 44000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:41:25 time: 1.0276 data_time: 0.0181 memory: 25110 grad_norm: 20.1444 loss: 9.9962 loss_cls: 0.3316 loss_bbox: 0.1532 loss_iou: 0.2936 d0.loss_cls: 0.3748 d0.loss_bbox: 0.1663 d0.loss_iou: 0.3121 d1.loss_cls: 0.3581 d1.loss_bbox: 0.1550 d1.loss_iou: 0.2974 d2.loss_cls: 0.3420 d2.loss_bbox: 0.1548 d2.loss_iou: 0.2948 d3.loss_cls: 0.3393 d3.loss_bbox: 0.1521 d3.loss_iou: 0.2948 d4.loss_cls: 0.3350 d4.loss_bbox: 0.1507 d4.loss_iou: 0.2919 enc_loss_cls: 0.4069 enc_loss_bbox: 0.1769 enc_loss_iou: 0.3327 dn_loss_cls: 0.0810 dn_loss_bbox: 0.1658 dn_loss_iou: 0.2211 d0.dn_loss_cls: 0.1716 d0.dn_loss_bbox: 0.2991 d0.dn_loss_iou: 0.3638 d1.dn_loss_cls: 0.1187 d1.dn_loss_bbox: 0.1991 d1.dn_loss_iou: 0.2540 d2.dn_loss_cls: 0.0939 d2.dn_loss_bbox: 0.1732 d2.dn_loss_iou: 0.2290 d3.dn_loss_cls: 0.0843 d3.dn_loss_bbox: 0.1671 d3.dn_loss_iou: 0.2227 d4.dn_loss_cls: 0.0804 d4.dn_loss_bbox: 0.1658 d4.dn_loss_iou: 0.2211 d1.loss_lmm_region: 0.1471 loss_lmm_image: 0.8233 +2024/11/07 16:48:23 - mmengine - INFO - Iter(train) [ 44100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:39:40 time: 1.0370 data_time: 0.0181 memory: 23181 grad_norm: 23.3803 loss: 9.7445 loss_cls: 0.2862 loss_bbox: 0.1461 loss_iou: 0.2638 d0.loss_cls: 0.3219 d0.loss_bbox: 0.1576 d0.loss_iou: 0.2749 d1.loss_cls: 0.3090 d1.loss_bbox: 0.1471 d1.loss_iou: 0.2621 d2.loss_cls: 0.3002 d2.loss_bbox: 0.1435 d2.loss_iou: 0.2600 d3.loss_cls: 0.2939 d3.loss_bbox: 0.1456 d3.loss_iou: 0.2604 d4.loss_cls: 0.2902 d4.loss_bbox: 0.1435 d4.loss_iou: 0.2608 enc_loss_cls: 0.3437 enc_loss_bbox: 0.1682 enc_loss_iou: 0.2925 dn_loss_cls: 0.0909 dn_loss_bbox: 0.1902 dn_loss_iou: 0.2388 d0.dn_loss_cls: 0.1810 d0.dn_loss_bbox: 0.3419 d0.dn_loss_iou: 0.3864 d1.dn_loss_cls: 0.1191 d1.dn_loss_bbox: 0.2253 d1.dn_loss_iou: 0.2737 d2.dn_loss_cls: 0.1036 d2.dn_loss_bbox: 0.1976 d2.dn_loss_iou: 0.2468 d3.dn_loss_cls: 0.0943 d3.dn_loss_bbox: 0.1911 d3.dn_loss_iou: 0.2402 d4.dn_loss_cls: 0.0920 d4.dn_loss_bbox: 0.1901 d4.dn_loss_iou: 0.2387 d1.loss_lmm_region: 0.1860 loss_lmm_image: 0.8454 +2024/11/07 16:50:07 - mmengine - INFO - Iter(train) [ 44200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:37:54 time: 1.0308 data_time: 0.0182 memory: 24126 grad_norm: 22.4625 loss: 10.6275 loss_cls: 0.3467 loss_bbox: 0.1573 loss_iou: 0.2755 d0.loss_cls: 0.3824 d0.loss_bbox: 0.1733 d0.loss_iou: 0.2935 d1.loss_cls: 0.3636 d1.loss_bbox: 0.1611 d1.loss_iou: 0.2780 d2.loss_cls: 0.3560 d2.loss_bbox: 0.1628 d2.loss_iou: 0.2734 d3.loss_cls: 0.3568 d3.loss_bbox: 0.1608 d3.loss_iou: 0.2742 d4.loss_cls: 0.3457 d4.loss_bbox: 0.1593 d4.loss_iou: 0.2753 enc_loss_cls: 0.3927 enc_loss_bbox: 0.1858 enc_loss_iou: 0.3114 dn_loss_cls: 0.1552 dn_loss_bbox: 0.1749 dn_loss_iou: 0.2248 d0.dn_loss_cls: 0.2295 d0.dn_loss_bbox: 0.3382 d0.dn_loss_iou: 0.3826 d1.dn_loss_cls: 0.1940 d1.dn_loss_bbox: 0.2148 d1.dn_loss_iou: 0.2595 d2.dn_loss_cls: 0.1756 d2.dn_loss_bbox: 0.1859 d2.dn_loss_iou: 0.2338 d3.dn_loss_cls: 0.1741 d3.dn_loss_bbox: 0.1762 d3.dn_loss_iou: 0.2259 d4.dn_loss_cls: 0.1550 d4.dn_loss_bbox: 0.1749 d4.dn_loss_iou: 0.2248 d1.loss_lmm_region: 0.1755 loss_lmm_image: 0.8668 +2024/11/07 16:51:49 - mmengine - INFO - Iter(train) [ 44300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:36:05 time: 1.0182 data_time: 0.0180 memory: 23294 grad_norm: 21.4926 loss: 9.2152 loss_cls: 0.2476 loss_bbox: 0.1417 loss_iou: 0.2436 d0.loss_cls: 0.2854 d0.loss_bbox: 0.1599 d0.loss_iou: 0.2597 d1.loss_cls: 0.2674 d1.loss_bbox: 0.1473 d1.loss_iou: 0.2491 d2.loss_cls: 0.2597 d2.loss_bbox: 0.1430 d2.loss_iou: 0.2449 d3.loss_cls: 0.2556 d3.loss_bbox: 0.1420 d3.loss_iou: 0.2445 d4.loss_cls: 0.2518 d4.loss_bbox: 0.1387 d4.loss_iou: 0.2432 enc_loss_cls: 0.2988 enc_loss_bbox: 0.1722 enc_loss_iou: 0.2789 dn_loss_cls: 0.0812 dn_loss_bbox: 0.1775 dn_loss_iou: 0.2381 d0.dn_loss_cls: 0.1777 d0.dn_loss_bbox: 0.3278 d0.dn_loss_iou: 0.3948 d1.dn_loss_cls: 0.1181 d1.dn_loss_bbox: 0.2146 d1.dn_loss_iou: 0.2733 d2.dn_loss_cls: 0.0987 d2.dn_loss_bbox: 0.1881 d2.dn_loss_iou: 0.2472 d3.dn_loss_cls: 0.0869 d3.dn_loss_bbox: 0.1785 d3.dn_loss_iou: 0.2391 d4.dn_loss_cls: 0.0821 d4.dn_loss_bbox: 0.1774 d4.dn_loss_iou: 0.2380 d1.loss_lmm_region: 0.1664 loss_lmm_image: 0.8348 +2024/11/07 16:53:32 - mmengine - INFO - Iter(train) [ 44400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:34:18 time: 1.0244 data_time: 0.0183 memory: 24802 grad_norm: nan loss: 8.9081 loss_cls: 0.2681 loss_bbox: 0.1212 loss_iou: 0.2392 d0.loss_cls: 0.2971 d0.loss_bbox: 0.1376 d0.loss_iou: 0.2550 d1.loss_cls: 0.2788 d1.loss_bbox: 0.1286 d1.loss_iou: 0.2463 d2.loss_cls: 0.2697 d2.loss_bbox: 0.1247 d2.loss_iou: 0.2420 d3.loss_cls: 0.2702 d3.loss_bbox: 0.1217 d3.loss_iou: 0.2397 d4.loss_cls: 0.2657 d4.loss_bbox: 0.1224 d4.loss_iou: 0.2397 enc_loss_cls: 0.3121 enc_loss_bbox: 0.1484 enc_loss_iou: 0.2738 dn_loss_cls: 0.0911 dn_loss_bbox: 0.1568 dn_loss_iou: 0.2195 d0.dn_loss_cls: 0.1866 d0.dn_loss_bbox: 0.3081 d0.dn_loss_iou: 0.3766 d1.dn_loss_cls: 0.1267 d1.dn_loss_bbox: 0.1866 d1.dn_loss_iou: 0.2534 d2.dn_loss_cls: 0.1078 d2.dn_loss_bbox: 0.1651 d2.dn_loss_iou: 0.2287 d3.dn_loss_cls: 0.0974 d3.dn_loss_bbox: 0.1576 d3.dn_loss_iou: 0.2209 d4.dn_loss_cls: 0.0907 d4.dn_loss_bbox: 0.1567 d4.dn_loss_iou: 0.2194 d1.loss_lmm_region: 0.1528 loss_lmm_image: 0.8036 +2024/11/07 16:55:15 - mmengine - INFO - Iter(train) [ 44500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:32:30 time: 1.0173 data_time: 0.0183 memory: 23467 grad_norm: 25.2088 loss: 9.9003 loss_cls: 0.3183 loss_bbox: 0.1497 loss_iou: 0.2551 d0.loss_cls: 0.3630 d0.loss_bbox: 0.1642 d0.loss_iou: 0.2788 d1.loss_cls: 0.3495 d1.loss_bbox: 0.1515 d1.loss_iou: 0.2604 d2.loss_cls: 0.3361 d2.loss_bbox: 0.1460 d2.loss_iou: 0.2537 d3.loss_cls: 0.3274 d3.loss_bbox: 0.1437 d3.loss_iou: 0.2516 d4.loss_cls: 0.3205 d4.loss_bbox: 0.1502 d4.loss_iou: 0.2558 enc_loss_cls: 0.3785 enc_loss_bbox: 0.1784 enc_loss_iou: 0.2976 dn_loss_cls: 0.0992 dn_loss_bbox: 0.1779 dn_loss_iou: 0.2323 d0.dn_loss_cls: 0.2033 d0.dn_loss_bbox: 0.3392 d0.dn_loss_iou: 0.3880 d1.dn_loss_cls: 0.1374 d1.dn_loss_bbox: 0.2117 d1.dn_loss_iou: 0.2658 d2.dn_loss_cls: 0.1212 d2.dn_loss_bbox: 0.1858 d2.dn_loss_iou: 0.2412 d3.dn_loss_cls: 0.1057 d3.dn_loss_bbox: 0.1785 d3.dn_loss_iou: 0.2331 d4.dn_loss_cls: 0.0991 d4.dn_loss_bbox: 0.1779 d4.dn_loss_iou: 0.2322 d1.loss_lmm_region: 0.1668 loss_lmm_image: 0.7738 +2024/11/07 16:56:57 - mmengine - INFO - Iter(train) [ 44600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:30:41 time: 1.0242 data_time: 0.0181 memory: 23510 grad_norm: 24.4331 loss: 10.8962 loss_cls: 0.3772 loss_bbox: 0.1681 loss_iou: 0.3048 d0.loss_cls: 0.4110 d0.loss_bbox: 0.1859 d0.loss_iou: 0.3249 d1.loss_cls: 0.3963 d1.loss_bbox: 0.1734 d1.loss_iou: 0.3117 d2.loss_cls: 0.3847 d2.loss_bbox: 0.1706 d2.loss_iou: 0.3044 d3.loss_cls: 0.3811 d3.loss_bbox: 0.1700 d3.loss_iou: 0.3059 d4.loss_cls: 0.3748 d4.loss_bbox: 0.1703 d4.loss_iou: 0.3063 enc_loss_cls: 0.4204 enc_loss_bbox: 0.2092 enc_loss_iou: 0.3527 dn_loss_cls: 0.0981 dn_loss_bbox: 0.1848 dn_loss_iou: 0.2355 d0.dn_loss_cls: 0.1934 d0.dn_loss_bbox: 0.3423 d0.dn_loss_iou: 0.3885 d1.dn_loss_cls: 0.1340 d1.dn_loss_bbox: 0.2181 d1.dn_loss_iou: 0.2696 d2.dn_loss_cls: 0.1127 d2.dn_loss_bbox: 0.1916 d2.dn_loss_iou: 0.2440 d3.dn_loss_cls: 0.1030 d3.dn_loss_bbox: 0.1854 d3.dn_loss_iou: 0.2368 d4.dn_loss_cls: 0.0980 d4.dn_loss_bbox: 0.1848 d4.dn_loss_iou: 0.2353 d1.loss_lmm_region: 0.1745 loss_lmm_image: 0.8622 +2024/11/07 16:58:40 - mmengine - INFO - Iter(train) [ 44700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:28:53 time: 1.0310 data_time: 0.0183 memory: 22747 grad_norm: 22.8762 loss: 9.2062 loss_cls: 0.3090 loss_bbox: 0.1295 loss_iou: 0.2213 d0.loss_cls: 0.3300 d0.loss_bbox: 0.1486 d0.loss_iou: 0.2422 d1.loss_cls: 0.3208 d1.loss_bbox: 0.1321 d1.loss_iou: 0.2284 d2.loss_cls: 0.3257 d2.loss_bbox: 0.1319 d2.loss_iou: 0.2230 d3.loss_cls: 0.3246 d3.loss_bbox: 0.1264 d3.loss_iou: 0.2188 d4.loss_cls: 0.3129 d4.loss_bbox: 0.1291 d4.loss_iou: 0.2217 enc_loss_cls: 0.3413 enc_loss_bbox: 0.1630 enc_loss_iou: 0.2650 dn_loss_cls: 0.0995 dn_loss_bbox: 0.1634 dn_loss_iou: 0.2020 d0.dn_loss_cls: 0.1841 d0.dn_loss_bbox: 0.3314 d0.dn_loss_iou: 0.3687 d1.dn_loss_cls: 0.1298 d1.dn_loss_bbox: 0.2007 d1.dn_loss_iou: 0.2405 d2.dn_loss_cls: 0.1127 d2.dn_loss_bbox: 0.1727 d2.dn_loss_iou: 0.2120 d3.dn_loss_cls: 0.1036 d3.dn_loss_bbox: 0.1648 d3.dn_loss_iou: 0.2034 d4.dn_loss_cls: 0.0993 d4.dn_loss_bbox: 0.1635 d4.dn_loss_iou: 0.2021 d1.loss_lmm_region: 0.1731 loss_lmm_image: 0.8336 +2024/11/07 17:00:24 - mmengine - INFO - Iter(train) [ 44800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:27:08 time: 1.0309 data_time: 0.0181 memory: 23098 grad_norm: 34.5313 loss: 9.7253 loss_cls: 0.3028 loss_bbox: 0.1450 loss_iou: 0.2745 d0.loss_cls: 0.3298 d0.loss_bbox: 0.1636 d0.loss_iou: 0.2986 d1.loss_cls: 0.3138 d1.loss_bbox: 0.1539 d1.loss_iou: 0.2832 d2.loss_cls: 0.3066 d2.loss_bbox: 0.1477 d2.loss_iou: 0.2776 d3.loss_cls: 0.3064 d3.loss_bbox: 0.1436 d3.loss_iou: 0.2734 d4.loss_cls: 0.3036 d4.loss_bbox: 0.1456 d4.loss_iou: 0.2743 enc_loss_cls: 0.3479 enc_loss_bbox: 0.1775 enc_loss_iou: 0.3232 dn_loss_cls: 0.0865 dn_loss_bbox: 0.1786 dn_loss_iou: 0.2342 d0.dn_loss_cls: 0.1778 d0.dn_loss_bbox: 0.3246 d0.dn_loss_iou: 0.3769 d1.dn_loss_cls: 0.1195 d1.dn_loss_bbox: 0.2042 d1.dn_loss_iou: 0.2635 d2.dn_loss_cls: 0.1003 d2.dn_loss_bbox: 0.1826 d2.dn_loss_iou: 0.2410 d3.dn_loss_cls: 0.0915 d3.dn_loss_bbox: 0.1784 d3.dn_loss_iou: 0.2347 d4.dn_loss_cls: 0.0873 d4.dn_loss_bbox: 0.1785 d4.dn_loss_iou: 0.2341 d1.loss_lmm_region: 0.1484 loss_lmm_image: 0.7900 +2024/11/07 17:02:07 - mmengine - INFO - Iter(train) [ 44900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:25:21 time: 1.0284 data_time: 0.0182 memory: 23688 grad_norm: 24.1782 loss: 9.7437 loss_cls: 0.3243 loss_bbox: 0.1389 loss_iou: 0.2262 d0.loss_cls: 0.3649 d0.loss_bbox: 0.1555 d0.loss_iou: 0.2445 d1.loss_cls: 0.3408 d1.loss_bbox: 0.1491 d1.loss_iou: 0.2354 d2.loss_cls: 0.3364 d2.loss_bbox: 0.1405 d2.loss_iou: 0.2273 d3.loss_cls: 0.3307 d3.loss_bbox: 0.1407 d3.loss_iou: 0.2268 d4.loss_cls: 0.3258 d4.loss_bbox: 0.1401 d4.loss_iou: 0.2265 enc_loss_cls: 0.3931 enc_loss_bbox: 0.1644 enc_loss_iou: 0.2609 dn_loss_cls: 0.0964 dn_loss_bbox: 0.2016 dn_loss_iou: 0.2145 d0.dn_loss_cls: 0.1755 d0.dn_loss_bbox: 0.3836 d0.dn_loss_iou: 0.3732 d1.dn_loss_cls: 0.1248 d1.dn_loss_bbox: 0.2474 d1.dn_loss_iou: 0.2534 d2.dn_loss_cls: 0.1093 d2.dn_loss_bbox: 0.2141 d2.dn_loss_iou: 0.2262 d3.dn_loss_cls: 0.1017 d3.dn_loss_bbox: 0.2035 d3.dn_loss_iou: 0.2164 d4.dn_loss_cls: 0.0969 d4.dn_loss_bbox: 0.2017 d4.dn_loss_iou: 0.2144 d1.loss_lmm_region: 0.1529 loss_lmm_image: 0.8434 +2024/11/07 17:03:49 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/07 17:03:49 - mmengine - INFO - Iter(train) [ 45000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:23:33 time: 1.0256 data_time: 0.0182 memory: 23368 grad_norm: 21.0904 loss: 9.5659 loss_cls: 0.2718 loss_bbox: 0.1365 loss_iou: 0.2597 d0.loss_cls: 0.3007 d0.loss_bbox: 0.1528 d0.loss_iou: 0.2777 d1.loss_cls: 0.2930 d1.loss_bbox: 0.1393 d1.loss_iou: 0.2659 d2.loss_cls: 0.2840 d2.loss_bbox: 0.1360 d2.loss_iou: 0.2614 d3.loss_cls: 0.2777 d3.loss_bbox: 0.1365 d3.loss_iou: 0.2582 d4.loss_cls: 0.2741 d4.loss_bbox: 0.1360 d4.loss_iou: 0.2580 enc_loss_cls: 0.3248 enc_loss_bbox: 0.1658 enc_loss_iou: 0.2980 dn_loss_cls: 0.1005 dn_loss_bbox: 0.1762 dn_loss_iou: 0.2453 d0.dn_loss_cls: 0.1812 d0.dn_loss_bbox: 0.3343 d0.dn_loss_iou: 0.3951 d1.dn_loss_cls: 0.1326 d1.dn_loss_bbox: 0.2107 d1.dn_loss_iou: 0.2773 d2.dn_loss_cls: 0.1143 d2.dn_loss_bbox: 0.1841 d2.dn_loss_iou: 0.2535 d3.dn_loss_cls: 0.1054 d3.dn_loss_bbox: 0.1767 d3.dn_loss_iou: 0.2466 d4.dn_loss_cls: 0.1012 d4.dn_loss_bbox: 0.1762 d4.dn_loss_iou: 0.2452 d1.loss_lmm_region: 0.1595 loss_lmm_image: 0.8424 +2024/11/07 17:05:32 - mmengine - INFO - Iter(train) [ 45100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:21:44 time: 1.0205 data_time: 0.0182 memory: 23702 grad_norm: 22.1454 loss: 10.0169 loss_cls: 0.3175 loss_bbox: 0.1510 loss_iou: 0.2696 d0.loss_cls: 0.3535 d0.loss_bbox: 0.1669 d0.loss_iou: 0.2910 d1.loss_cls: 0.3358 d1.loss_bbox: 0.1540 d1.loss_iou: 0.2767 d2.loss_cls: 0.3262 d2.loss_bbox: 0.1512 d2.loss_iou: 0.2707 d3.loss_cls: 0.3228 d3.loss_bbox: 0.1509 d3.loss_iou: 0.2698 d4.loss_cls: 0.3179 d4.loss_bbox: 0.1529 d4.loss_iou: 0.2714 enc_loss_cls: 0.3664 enc_loss_bbox: 0.1805 enc_loss_iou: 0.3119 dn_loss_cls: 0.1181 dn_loss_bbox: 0.1663 dn_loss_iou: 0.2262 d0.dn_loss_cls: 0.1853 d0.dn_loss_bbox: 0.3159 d0.dn_loss_iou: 0.3756 d1.dn_loss_cls: 0.1421 d1.dn_loss_bbox: 0.2030 d1.dn_loss_iou: 0.2619 d2.dn_loss_cls: 0.1346 d2.dn_loss_bbox: 0.1763 d2.dn_loss_iou: 0.2359 d3.dn_loss_cls: 0.1295 d3.dn_loss_bbox: 0.1671 d3.dn_loss_iou: 0.2275 d4.dn_loss_cls: 0.1219 d4.dn_loss_bbox: 0.1664 d4.dn_loss_iou: 0.2264 d1.loss_lmm_region: 0.1618 loss_lmm_image: 0.8662 +2024/11/07 17:07:15 - mmengine - INFO - Iter(train) [ 45200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:19:57 time: 1.0229 data_time: 0.0182 memory: 23629 grad_norm: 23.4941 loss: 9.2396 loss_cls: 0.3178 loss_bbox: 0.1146 loss_iou: 0.2504 d0.loss_cls: 0.3545 d0.loss_bbox: 0.1302 d0.loss_iou: 0.2694 d1.loss_cls: 0.3391 d1.loss_bbox: 0.1213 d1.loss_iou: 0.2570 d2.loss_cls: 0.3277 d2.loss_bbox: 0.1147 d2.loss_iou: 0.2513 d3.loss_cls: 0.3255 d3.loss_bbox: 0.1128 d3.loss_iou: 0.2512 d4.loss_cls: 0.3187 d4.loss_bbox: 0.1141 d4.loss_iou: 0.2507 enc_loss_cls: 0.3665 enc_loss_bbox: 0.1528 enc_loss_iou: 0.2971 dn_loss_cls: 0.0844 dn_loss_bbox: 0.1434 dn_loss_iou: 0.2164 d0.dn_loss_cls: 0.1697 d0.dn_loss_bbox: 0.2895 d0.dn_loss_iou: 0.3680 d1.dn_loss_cls: 0.1170 d1.dn_loss_bbox: 0.1737 d1.dn_loss_iou: 0.2518 d2.dn_loss_cls: 0.1003 d2.dn_loss_bbox: 0.1511 d2.dn_loss_iou: 0.2257 d3.dn_loss_cls: 0.0902 d3.dn_loss_bbox: 0.1452 d3.dn_loss_iou: 0.2185 d4.dn_loss_cls: 0.0846 d4.dn_loss_bbox: 0.1435 d4.dn_loss_iou: 0.2164 d1.loss_lmm_region: 0.1533 loss_lmm_image: 0.8593 +2024/11/07 17:08:59 - mmengine - INFO - Iter(train) [ 45300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:18:13 time: 1.0317 data_time: 0.0183 memory: 23612 grad_norm: 25.4993 loss: 9.6903 loss_cls: 0.2937 loss_bbox: 0.1407 loss_iou: 0.2475 d0.loss_cls: 0.3327 d0.loss_bbox: 0.1500 d0.loss_iou: 0.2647 d1.loss_cls: 0.3107 d1.loss_bbox: 0.1480 d1.loss_iou: 0.2573 d2.loss_cls: 0.3083 d2.loss_bbox: 0.1408 d2.loss_iou: 0.2489 d3.loss_cls: 0.3008 d3.loss_bbox: 0.1382 d3.loss_iou: 0.2457 d4.loss_cls: 0.2956 d4.loss_bbox: 0.1409 d4.loss_iou: 0.2471 enc_loss_cls: 0.3418 enc_loss_bbox: 0.1696 enc_loss_iou: 0.2886 dn_loss_cls: 0.0983 dn_loss_bbox: 0.1882 dn_loss_iou: 0.2271 d0.dn_loss_cls: 0.1845 d0.dn_loss_bbox: 0.3617 d0.dn_loss_iou: 0.3792 d1.dn_loss_cls: 0.1328 d1.dn_loss_bbox: 0.2272 d1.dn_loss_iou: 0.2615 d2.dn_loss_cls: 0.1159 d2.dn_loss_bbox: 0.1977 d2.dn_loss_iou: 0.2358 d3.dn_loss_cls: 0.1048 d3.dn_loss_bbox: 0.1897 d3.dn_loss_iou: 0.2283 d4.dn_loss_cls: 0.0987 d4.dn_loss_bbox: 0.1882 d4.dn_loss_iou: 0.2271 d1.loss_lmm_region: 0.1597 loss_lmm_image: 0.8723 +2024/11/07 17:10:42 - mmengine - INFO - Iter(train) [ 45400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:16:26 time: 1.0386 data_time: 0.0183 memory: 23530 grad_norm: 22.0489 loss: 11.0310 loss_cls: 0.3776 loss_bbox: 0.1627 loss_iou: 0.3159 d0.loss_cls: 0.4181 d0.loss_bbox: 0.1826 d0.loss_iou: 0.3434 d1.loss_cls: 0.3947 d1.loss_bbox: 0.1774 d1.loss_iou: 0.3282 d2.loss_cls: 0.3828 d2.loss_bbox: 0.1699 d2.loss_iou: 0.3230 d3.loss_cls: 0.3802 d3.loss_bbox: 0.1703 d3.loss_iou: 0.3192 d4.loss_cls: 0.3782 d4.loss_bbox: 0.1636 d4.loss_iou: 0.3167 enc_loss_cls: 0.4343 enc_loss_bbox: 0.1967 enc_loss_iou: 0.3684 dn_loss_cls: 0.1228 dn_loss_bbox: 0.1728 dn_loss_iou: 0.2342 d0.dn_loss_cls: 0.2095 d0.dn_loss_bbox: 0.3233 d0.dn_loss_iou: 0.3834 d1.dn_loss_cls: 0.1545 d1.dn_loss_bbox: 0.2076 d1.dn_loss_iou: 0.2695 d2.dn_loss_cls: 0.1359 d2.dn_loss_bbox: 0.1844 d2.dn_loss_iou: 0.2444 d3.dn_loss_cls: 0.1268 d3.dn_loss_bbox: 0.1751 d3.dn_loss_iou: 0.2359 d4.dn_loss_cls: 0.1230 d4.dn_loss_bbox: 0.1729 d4.dn_loss_iou: 0.2340 d1.loss_lmm_region: 0.1755 loss_lmm_image: 0.8414 +2024/11/07 17:12:25 - mmengine - INFO - Iter(train) [ 45500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:14:39 time: 1.0327 data_time: 0.0183 memory: 23873 grad_norm: 21.7191 loss: 10.3514 loss_cls: 0.3164 loss_bbox: 0.1620 loss_iou: 0.3042 d0.loss_cls: 0.3526 d0.loss_bbox: 0.1726 d0.loss_iou: 0.3188 d1.loss_cls: 0.3323 d1.loss_bbox: 0.1674 d1.loss_iou: 0.3086 d2.loss_cls: 0.3224 d2.loss_bbox: 0.1652 d2.loss_iou: 0.3085 d3.loss_cls: 0.3211 d3.loss_bbox: 0.1606 d3.loss_iou: 0.3034 d4.loss_cls: 0.3174 d4.loss_bbox: 0.1620 d4.loss_iou: 0.3056 enc_loss_cls: 0.3719 enc_loss_bbox: 0.1843 enc_loss_iou: 0.3407 dn_loss_cls: 0.0914 dn_loss_bbox: 0.1792 dn_loss_iou: 0.2489 d0.dn_loss_cls: 0.1865 d0.dn_loss_bbox: 0.3424 d0.dn_loss_iou: 0.4119 d1.dn_loss_cls: 0.1251 d1.dn_loss_bbox: 0.2140 d1.dn_loss_iou: 0.2866 d2.dn_loss_cls: 0.1059 d2.dn_loss_bbox: 0.1867 d2.dn_loss_iou: 0.2582 d3.dn_loss_cls: 0.0972 d3.dn_loss_bbox: 0.1798 d3.dn_loss_iou: 0.2502 d4.dn_loss_cls: 0.0938 d4.dn_loss_bbox: 0.1791 d4.dn_loss_iou: 0.2488 d1.loss_lmm_region: 0.1606 loss_lmm_image: 0.8073 +2024/11/07 17:14:08 - mmengine - INFO - Iter(train) [ 45600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:12:53 time: 1.0279 data_time: 0.0187 memory: 24087 grad_norm: 24.2437 loss: 11.2423 loss_cls: 0.3528 loss_bbox: 0.1891 loss_iou: 0.3070 d0.loss_cls: 0.3777 d0.loss_bbox: 0.2132 d0.loss_iou: 0.3353 d1.loss_cls: 0.3728 d1.loss_bbox: 0.1907 d1.loss_iou: 0.3119 d2.loss_cls: 0.3582 d2.loss_bbox: 0.1965 d2.loss_iou: 0.3139 d3.loss_cls: 0.3559 d3.loss_bbox: 0.1930 d3.loss_iou: 0.3101 d4.loss_cls: 0.3549 d4.loss_bbox: 0.1887 d4.loss_iou: 0.3063 enc_loss_cls: 0.3995 enc_loss_bbox: 0.2277 enc_loss_iou: 0.3584 dn_loss_cls: 0.1043 dn_loss_bbox: 0.2014 dn_loss_iou: 0.2598 d0.dn_loss_cls: 0.2053 d0.dn_loss_bbox: 0.3721 d0.dn_loss_iou: 0.4258 d1.dn_loss_cls: 0.1434 d1.dn_loss_bbox: 0.2448 d1.dn_loss_iou: 0.2988 d2.dn_loss_cls: 0.1225 d2.dn_loss_bbox: 0.2111 d2.dn_loss_iou: 0.2694 d3.dn_loss_cls: 0.1118 d3.dn_loss_bbox: 0.2036 d3.dn_loss_iou: 0.2615 d4.dn_loss_cls: 0.1055 d4.dn_loss_bbox: 0.2017 d4.dn_loss_iou: 0.2599 d1.loss_lmm_region: 0.1834 loss_lmm_image: 0.8429 +2024/11/07 17:15:51 - mmengine - INFO - Iter(train) [ 45700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:11:05 time: 1.0136 data_time: 0.0182 memory: 23735 grad_norm: 23.0891 loss: 9.3485 loss_cls: 0.2994 loss_bbox: 0.1396 loss_iou: 0.2583 d0.loss_cls: 0.3329 d0.loss_bbox: 0.1570 d0.loss_iou: 0.2762 d1.loss_cls: 0.3127 d1.loss_bbox: 0.1532 d1.loss_iou: 0.2696 d2.loss_cls: 0.3071 d2.loss_bbox: 0.1447 d2.loss_iou: 0.2614 d3.loss_cls: 0.2996 d3.loss_bbox: 0.1437 d3.loss_iou: 0.2609 d4.loss_cls: 0.2979 d4.loss_bbox: 0.1434 d4.loss_iou: 0.2606 enc_loss_cls: 0.3546 enc_loss_bbox: 0.1832 enc_loss_iou: 0.3026 dn_loss_cls: 0.0777 dn_loss_bbox: 0.1641 dn_loss_iou: 0.2066 d0.dn_loss_cls: 0.1713 d0.dn_loss_bbox: 0.3153 d0.dn_loss_iou: 0.3490 d1.dn_loss_cls: 0.1144 d1.dn_loss_bbox: 0.2028 d1.dn_loss_iou: 0.2401 d2.dn_loss_cls: 0.0945 d2.dn_loss_bbox: 0.1745 d2.dn_loss_iou: 0.2155 d3.dn_loss_cls: 0.0830 d3.dn_loss_bbox: 0.1654 d3.dn_loss_iou: 0.2081 d4.dn_loss_cls: 0.0785 d4.dn_loss_bbox: 0.1640 d4.dn_loss_iou: 0.2065 d1.loss_lmm_region: 0.1506 loss_lmm_image: 0.8080 +2024/11/07 17:17:34 - mmengine - INFO - Iter(train) [ 45800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:09:19 time: 1.0294 data_time: 0.0182 memory: 24132 grad_norm: 24.4548 loss: 10.5997 loss_cls: 0.3428 loss_bbox: 0.1531 loss_iou: 0.2612 d0.loss_cls: 0.3751 d0.loss_bbox: 0.1642 d0.loss_iou: 0.2775 d1.loss_cls: 0.3581 d1.loss_bbox: 0.1534 d1.loss_iou: 0.2641 d2.loss_cls: 0.3478 d2.loss_bbox: 0.1521 d2.loss_iou: 0.2590 d3.loss_cls: 0.3534 d3.loss_bbox: 0.1488 d3.loss_iou: 0.2571 d4.loss_cls: 0.3449 d4.loss_bbox: 0.1520 d4.loss_iou: 0.2608 enc_loss_cls: 0.3943 enc_loss_bbox: 0.1824 enc_loss_iou: 0.2990 dn_loss_cls: 0.1477 dn_loss_bbox: 0.1989 dn_loss_iou: 0.2353 d0.dn_loss_cls: 0.2462 d0.dn_loss_bbox: 0.3562 d0.dn_loss_iou: 0.3871 d1.dn_loss_cls: 0.1880 d1.dn_loss_bbox: 0.2379 d1.dn_loss_iou: 0.2706 d2.dn_loss_cls: 0.1649 d2.dn_loss_bbox: 0.2087 d2.dn_loss_iou: 0.2447 d3.dn_loss_cls: 0.1527 d3.dn_loss_bbox: 0.2005 d3.dn_loss_iou: 0.2365 d4.dn_loss_cls: 0.1502 d4.dn_loss_bbox: 0.1988 d4.dn_loss_iou: 0.2351 d1.loss_lmm_region: 0.1907 loss_lmm_image: 0.8481 +2024/11/07 17:19:16 - mmengine - INFO - Iter(train) [ 45900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:07:31 time: 1.0186 data_time: 0.0183 memory: 23429 grad_norm: 27.7282 loss: 9.6770 loss_cls: 0.2911 loss_bbox: 0.1472 loss_iou: 0.2491 d0.loss_cls: 0.3210 d0.loss_bbox: 0.1670 d0.loss_iou: 0.2668 d1.loss_cls: 0.3086 d1.loss_bbox: 0.1553 d1.loss_iou: 0.2574 d2.loss_cls: 0.3065 d2.loss_bbox: 0.1480 d2.loss_iou: 0.2499 d3.loss_cls: 0.2959 d3.loss_bbox: 0.1508 d3.loss_iou: 0.2507 d4.loss_cls: 0.2912 d4.loss_bbox: 0.1499 d4.loss_iou: 0.2503 enc_loss_cls: 0.3440 enc_loss_bbox: 0.1753 enc_loss_iou: 0.2832 dn_loss_cls: 0.0934 dn_loss_bbox: 0.1885 dn_loss_iou: 0.2236 d0.dn_loss_cls: 0.1796 d0.dn_loss_bbox: 0.3512 d0.dn_loss_iou: 0.3822 d1.dn_loss_cls: 0.1278 d1.dn_loss_bbox: 0.2281 d1.dn_loss_iou: 0.2607 d2.dn_loss_cls: 0.1100 d2.dn_loss_bbox: 0.2010 d2.dn_loss_iou: 0.2336 d3.dn_loss_cls: 0.0994 d3.dn_loss_bbox: 0.1898 d3.dn_loss_iou: 0.2252 d4.dn_loss_cls: 0.0936 d4.dn_loss_bbox: 0.1888 d4.dn_loss_iou: 0.2235 d1.loss_lmm_region: 0.1908 loss_lmm_image: 0.8272 +2024/11/07 17:20:59 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/07 17:20:59 - mmengine - INFO - Iter(train) [ 46000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:05:43 time: 1.0330 data_time: 0.0184 memory: 23941 grad_norm: 22.1141 loss: 11.1223 loss_cls: 0.3559 loss_bbox: 0.1714 loss_iou: 0.3241 d0.loss_cls: 0.4000 d0.loss_bbox: 0.1939 d0.loss_iou: 0.3472 d1.loss_cls: 0.3785 d1.loss_bbox: 0.1840 d1.loss_iou: 0.3363 d2.loss_cls: 0.3699 d2.loss_bbox: 0.1727 d2.loss_iou: 0.3267 d3.loss_cls: 0.3642 d3.loss_bbox: 0.1711 d3.loss_iou: 0.3243 d4.loss_cls: 0.3528 d4.loss_bbox: 0.1719 d4.loss_iou: 0.3263 enc_loss_cls: 0.4097 enc_loss_bbox: 0.1991 enc_loss_iou: 0.3651 dn_loss_cls: 0.1161 dn_loss_bbox: 0.1878 dn_loss_iou: 0.2481 d0.dn_loss_cls: 0.2113 d0.dn_loss_bbox: 0.3581 d0.dn_loss_iou: 0.4007 d1.dn_loss_cls: 0.1552 d1.dn_loss_bbox: 0.2255 d1.dn_loss_iou: 0.2836 d2.dn_loss_cls: 0.1342 d2.dn_loss_bbox: 0.2007 d2.dn_loss_iou: 0.2579 d3.dn_loss_cls: 0.1228 d3.dn_loss_bbox: 0.1894 d3.dn_loss_iou: 0.2499 d4.dn_loss_cls: 0.1165 d4.dn_loss_bbox: 0.1877 d4.dn_loss_iou: 0.2479 d1.loss_lmm_region: 0.1363 loss_lmm_image: 0.8476 +2024/11/07 17:22:42 - mmengine - INFO - Iter(train) [ 46100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:03:55 time: 1.0239 data_time: 0.0184 memory: 23392 grad_norm: 21.8484 loss: 9.7687 loss_cls: 0.2902 loss_bbox: 0.1469 loss_iou: 0.2708 d0.loss_cls: 0.3289 d0.loss_bbox: 0.1626 d0.loss_iou: 0.2898 d1.loss_cls: 0.3069 d1.loss_bbox: 0.1572 d1.loss_iou: 0.2783 d2.loss_cls: 0.2981 d2.loss_bbox: 0.1492 d2.loss_iou: 0.2754 d3.loss_cls: 0.2979 d3.loss_bbox: 0.1471 d3.loss_iou: 0.2710 d4.loss_cls: 0.2924 d4.loss_bbox: 0.1463 d4.loss_iou: 0.2695 enc_loss_cls: 0.3403 enc_loss_bbox: 0.1786 enc_loss_iou: 0.3149 dn_loss_cls: 0.1020 dn_loss_bbox: 0.1702 dn_loss_iou: 0.2264 d0.dn_loss_cls: 0.1879 d0.dn_loss_bbox: 0.3212 d0.dn_loss_iou: 0.3790 d1.dn_loss_cls: 0.1391 d1.dn_loss_bbox: 0.2033 d1.dn_loss_iou: 0.2616 d2.dn_loss_cls: 0.1196 d2.dn_loss_bbox: 0.1774 d2.dn_loss_iou: 0.2361 d3.dn_loss_cls: 0.1097 d3.dn_loss_bbox: 0.1706 d3.dn_loss_iou: 0.2275 d4.dn_loss_cls: 0.1031 d4.dn_loss_bbox: 0.1701 d4.dn_loss_iou: 0.2262 d1.loss_lmm_region: 0.1440 loss_lmm_image: 0.8812 +2024/11/07 17:24:24 - mmengine - INFO - Iter(train) [ 46200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:02:08 time: 1.0319 data_time: 0.0184 memory: 23992 grad_norm: 19.2737 loss: 9.5990 loss_cls: 0.2751 loss_bbox: 0.1486 loss_iou: 0.2682 d0.loss_cls: 0.3134 d0.loss_bbox: 0.1593 d0.loss_iou: 0.2805 d1.loss_cls: 0.2898 d1.loss_bbox: 0.1564 d1.loss_iou: 0.2736 d2.loss_cls: 0.2889 d2.loss_bbox: 0.1481 d2.loss_iou: 0.2677 d3.loss_cls: 0.2813 d3.loss_bbox: 0.1498 d3.loss_iou: 0.2691 d4.loss_cls: 0.2799 d4.loss_bbox: 0.1465 d4.loss_iou: 0.2681 enc_loss_cls: 0.3251 enc_loss_bbox: 0.1740 enc_loss_iou: 0.3025 dn_loss_cls: 0.0767 dn_loss_bbox: 0.1886 dn_loss_iou: 0.2415 d0.dn_loss_cls: 0.1583 d0.dn_loss_bbox: 0.3336 d0.dn_loss_iou: 0.3940 d1.dn_loss_cls: 0.1069 d1.dn_loss_bbox: 0.2190 d1.dn_loss_iou: 0.2764 d2.dn_loss_cls: 0.0901 d2.dn_loss_bbox: 0.1964 d2.dn_loss_iou: 0.2511 d3.dn_loss_cls: 0.0805 d3.dn_loss_bbox: 0.1922 d3.dn_loss_iou: 0.2440 d4.dn_loss_cls: 0.0763 d4.dn_loss_bbox: 0.1888 d4.dn_loss_iou: 0.2415 d1.loss_lmm_region: 0.1556 loss_lmm_image: 0.8214 +2024/11/07 17:26:07 - mmengine - INFO - Iter(train) [ 46300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:00:21 time: 1.0354 data_time: 0.0183 memory: 23308 grad_norm: 28.0268 loss: 10.1008 loss_cls: 0.3420 loss_bbox: 0.1397 loss_iou: 0.2463 d0.loss_cls: 0.3830 d0.loss_bbox: 0.1475 d0.loss_iou: 0.2587 d1.loss_cls: 0.3537 d1.loss_bbox: 0.1407 d1.loss_iou: 0.2484 d2.loss_cls: 0.3466 d2.loss_bbox: 0.1396 d2.loss_iou: 0.2463 d3.loss_cls: 0.3398 d3.loss_bbox: 0.1405 d3.loss_iou: 0.2467 d4.loss_cls: 0.3415 d4.loss_bbox: 0.1416 d4.loss_iou: 0.2484 enc_loss_cls: 0.3840 enc_loss_bbox: 0.1707 enc_loss_iou: 0.2841 dn_loss_cls: 0.1180 dn_loss_bbox: 0.1964 dn_loss_iou: 0.2299 d0.dn_loss_cls: 0.2114 d0.dn_loss_bbox: 0.3692 d0.dn_loss_iou: 0.3829 d1.dn_loss_cls: 0.1507 d1.dn_loss_bbox: 0.2313 d1.dn_loss_iou: 0.2643 d2.dn_loss_cls: 0.1331 d2.dn_loss_bbox: 0.2070 d2.dn_loss_iou: 0.2406 d3.dn_loss_cls: 0.1206 d3.dn_loss_bbox: 0.1971 d3.dn_loss_iou: 0.2315 d4.dn_loss_cls: 0.1188 d4.dn_loss_bbox: 0.1961 d4.dn_loss_iou: 0.2298 d1.loss_lmm_region: 0.1675 loss_lmm_image: 0.8146 +2024/11/07 17:27:51 - mmengine - INFO - Iter(train) [ 46400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:58:35 time: 1.0254 data_time: 0.0182 memory: 23522 grad_norm: 24.0243 loss: 9.9212 loss_cls: 0.3303 loss_bbox: 0.1317 loss_iou: 0.2544 d0.loss_cls: 0.3647 d0.loss_bbox: 0.1472 d0.loss_iou: 0.2791 d1.loss_cls: 0.3458 d1.loss_bbox: 0.1416 d1.loss_iou: 0.2666 d2.loss_cls: 0.3402 d2.loss_bbox: 0.1332 d2.loss_iou: 0.2576 d3.loss_cls: 0.3365 d3.loss_bbox: 0.1298 d3.loss_iou: 0.2516 d4.loss_cls: 0.3305 d4.loss_bbox: 0.1317 d4.loss_iou: 0.2537 enc_loss_cls: 0.3796 enc_loss_bbox: 0.1648 enc_loss_iou: 0.3016 dn_loss_cls: 0.1297 dn_loss_bbox: 0.1562 dn_loss_iou: 0.2299 d0.dn_loss_cls: 0.2050 d0.dn_loss_bbox: 0.3113 d0.dn_loss_iou: 0.3820 d1.dn_loss_cls: 0.1557 d1.dn_loss_bbox: 0.1935 d1.dn_loss_iou: 0.2655 d2.dn_loss_cls: 0.1420 d2.dn_loss_bbox: 0.1686 d2.dn_loss_iou: 0.2396 d3.dn_loss_cls: 0.1364 d3.dn_loss_bbox: 0.1587 d3.dn_loss_iou: 0.2316 d4.dn_loss_cls: 0.1283 d4.dn_loss_bbox: 0.1563 d4.dn_loss_iou: 0.2298 d1.loss_lmm_region: 0.1602 loss_lmm_image: 0.8688 +2024/11/07 17:29:34 - mmengine - INFO - Iter(train) [ 46500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:56:49 time: 1.0295 data_time: 0.0186 memory: 23292 grad_norm: 21.3126 loss: 10.0715 loss_cls: 0.2613 loss_bbox: 0.1608 loss_iou: 0.2472 d0.loss_cls: 0.3009 d0.loss_bbox: 0.1775 d0.loss_iou: 0.2639 d1.loss_cls: 0.2856 d1.loss_bbox: 0.1651 d1.loss_iou: 0.2553 d2.loss_cls: 0.2785 d2.loss_bbox: 0.1591 d2.loss_iou: 0.2503 d3.loss_cls: 0.2690 d3.loss_bbox: 0.1620 d3.loss_iou: 0.2486 d4.loss_cls: 0.2620 d4.loss_bbox: 0.1611 d4.loss_iou: 0.2473 enc_loss_cls: 0.3195 enc_loss_bbox: 0.1892 enc_loss_iou: 0.2812 dn_loss_cls: 0.1151 dn_loss_bbox: 0.2253 dn_loss_iou: 0.2530 d0.dn_loss_cls: 0.2032 d0.dn_loss_bbox: 0.3971 d0.dn_loss_iou: 0.4145 d1.dn_loss_cls: 0.1494 d1.dn_loss_bbox: 0.2545 d1.dn_loss_iou: 0.2840 d2.dn_loss_cls: 0.1318 d2.dn_loss_bbox: 0.2330 d2.dn_loss_iou: 0.2607 d3.dn_loss_cls: 0.1219 d3.dn_loss_bbox: 0.2263 d3.dn_loss_iou: 0.2539 d4.dn_loss_cls: 0.1156 d4.dn_loss_bbox: 0.2253 d4.dn_loss_iou: 0.2529 d1.loss_lmm_region: 0.1584 loss_lmm_image: 0.8503 +2024/11/07 17:31:16 - mmengine - INFO - Iter(train) [ 46600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:55:01 time: 1.0224 data_time: 0.0183 memory: 24568 grad_norm: 24.3501 loss: 9.8051 loss_cls: 0.3084 loss_bbox: 0.1445 loss_iou: 0.2559 d0.loss_cls: 0.3349 d0.loss_bbox: 0.1608 d0.loss_iou: 0.2786 d1.loss_cls: 0.3220 d1.loss_bbox: 0.1493 d1.loss_iou: 0.2670 d2.loss_cls: 0.3194 d2.loss_bbox: 0.1436 d2.loss_iou: 0.2561 d3.loss_cls: 0.3145 d3.loss_bbox: 0.1437 d3.loss_iou: 0.2536 d4.loss_cls: 0.3113 d4.loss_bbox: 0.1424 d4.loss_iou: 0.2535 enc_loss_cls: 0.3565 enc_loss_bbox: 0.1741 enc_loss_iou: 0.2990 dn_loss_cls: 0.1071 dn_loss_bbox: 0.1760 dn_loss_iou: 0.2201 d0.dn_loss_cls: 0.1912 d0.dn_loss_bbox: 0.3577 d0.dn_loss_iou: 0.3862 d1.dn_loss_cls: 0.1385 d1.dn_loss_bbox: 0.2205 d1.dn_loss_iou: 0.2610 d2.dn_loss_cls: 0.1230 d2.dn_loss_bbox: 0.1865 d2.dn_loss_iou: 0.2298 d3.dn_loss_cls: 0.1117 d3.dn_loss_bbox: 0.1777 d3.dn_loss_iou: 0.2220 d4.dn_loss_cls: 0.1078 d4.dn_loss_bbox: 0.1761 d4.dn_loss_iou: 0.2202 d1.loss_lmm_region: 0.1516 loss_lmm_image: 0.8516 +2024/11/07 17:33:00 - mmengine - INFO - Iter(train) [ 46700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:53:15 time: 1.0370 data_time: 0.0184 memory: 23177 grad_norm: 22.6006 loss: 9.8458 loss_cls: 0.3014 loss_bbox: 0.1306 loss_iou: 0.2600 d0.loss_cls: 0.3315 d0.loss_bbox: 0.1441 d0.loss_iou: 0.2758 d1.loss_cls: 0.3171 d1.loss_bbox: 0.1377 d1.loss_iou: 0.2665 d2.loss_cls: 0.3064 d2.loss_bbox: 0.1355 d2.loss_iou: 0.2622 d3.loss_cls: 0.3085 d3.loss_bbox: 0.1291 d3.loss_iou: 0.2560 d4.loss_cls: 0.3042 d4.loss_bbox: 0.1299 d4.loss_iou: 0.2564 enc_loss_cls: 0.3494 enc_loss_bbox: 0.1532 enc_loss_iou: 0.2916 dn_loss_cls: 0.0932 dn_loss_bbox: 0.1995 dn_loss_iou: 0.2440 d0.dn_loss_cls: 0.1809 d0.dn_loss_bbox: 0.3632 d0.dn_loss_iou: 0.4021 d1.dn_loss_cls: 0.1201 d1.dn_loss_bbox: 0.2366 d1.dn_loss_iou: 0.2795 d2.dn_loss_cls: 0.1056 d2.dn_loss_bbox: 0.2077 d2.dn_loss_iou: 0.2531 d3.dn_loss_cls: 0.0980 d3.dn_loss_bbox: 0.2009 d3.dn_loss_iou: 0.2457 d4.dn_loss_cls: 0.0936 d4.dn_loss_bbox: 0.1995 d4.dn_loss_iou: 0.2440 d1.loss_lmm_region: 0.1741 loss_lmm_image: 0.8574 +2024/11/07 17:34:43 - mmengine - INFO - Iter(train) [ 46800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:51:30 time: 1.0311 data_time: 0.0184 memory: 23683 grad_norm: 22.1076 loss: 9.8898 loss_cls: 0.3234 loss_bbox: 0.1466 loss_iou: 0.2829 d0.loss_cls: 0.3599 d0.loss_bbox: 0.1650 d0.loss_iou: 0.3004 d1.loss_cls: 0.3419 d1.loss_bbox: 0.1532 d1.loss_iou: 0.2892 d2.loss_cls: 0.3324 d2.loss_bbox: 0.1477 d2.loss_iou: 0.2825 d3.loss_cls: 0.3276 d3.loss_bbox: 0.1446 d3.loss_iou: 0.2828 d4.loss_cls: 0.3224 d4.loss_bbox: 0.1490 d4.loss_iou: 0.2856 enc_loss_cls: 0.3773 enc_loss_bbox: 0.1838 enc_loss_iou: 0.3257 dn_loss_cls: 0.0932 dn_loss_bbox: 0.1601 dn_loss_iou: 0.2224 d0.dn_loss_cls: 0.1761 d0.dn_loss_bbox: 0.3119 d0.dn_loss_iou: 0.3733 d1.dn_loss_cls: 0.1231 d1.dn_loss_bbox: 0.1990 d1.dn_loss_iou: 0.2585 d2.dn_loss_cls: 0.1079 d2.dn_loss_bbox: 0.1720 d2.dn_loss_iou: 0.2328 d3.dn_loss_cls: 0.0943 d3.dn_loss_bbox: 0.1619 d3.dn_loss_iou: 0.2241 d4.dn_loss_cls: 0.0933 d4.dn_loss_bbox: 0.1600 d4.dn_loss_iou: 0.2223 d1.loss_lmm_region: 0.1600 loss_lmm_image: 0.8199 +2024/11/07 17:36:26 - mmengine - INFO - Iter(train) [ 46900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:49:42 time: 1.0240 data_time: 0.0185 memory: 23528 grad_norm: 23.9847 loss: 9.3857 loss_cls: 0.2856 loss_bbox: 0.1391 loss_iou: 0.2380 d0.loss_cls: 0.3213 d0.loss_bbox: 0.1588 d0.loss_iou: 0.2607 d1.loss_cls: 0.3026 d1.loss_bbox: 0.1443 d1.loss_iou: 0.2440 d2.loss_cls: 0.2948 d2.loss_bbox: 0.1392 d2.loss_iou: 0.2382 d3.loss_cls: 0.2922 d3.loss_bbox: 0.1374 d3.loss_iou: 0.2353 d4.loss_cls: 0.2861 d4.loss_bbox: 0.1393 d4.loss_iou: 0.2380 enc_loss_cls: 0.3315 enc_loss_bbox: 0.1724 enc_loss_iou: 0.2832 dn_loss_cls: 0.0782 dn_loss_bbox: 0.1817 dn_loss_iou: 0.2298 d0.dn_loss_cls: 0.1739 d0.dn_loss_bbox: 0.3523 d0.dn_loss_iou: 0.3929 d1.dn_loss_cls: 0.1097 d1.dn_loss_bbox: 0.2185 d1.dn_loss_iou: 0.2646 d2.dn_loss_cls: 0.0913 d2.dn_loss_bbox: 0.1934 d2.dn_loss_iou: 0.2400 d3.dn_loss_cls: 0.0823 d3.dn_loss_bbox: 0.1834 d3.dn_loss_iou: 0.2309 d4.dn_loss_cls: 0.0789 d4.dn_loss_bbox: 0.1819 d4.dn_loss_iou: 0.2299 d1.loss_lmm_region: 0.1537 loss_lmm_image: 0.8361 +2024/11/07 17:38:09 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/07 17:38:09 - mmengine - INFO - Iter(train) [ 47000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:47:55 time: 1.0308 data_time: 0.0184 memory: 23537 grad_norm: 21.9930 loss: 9.6631 loss_cls: 0.3121 loss_bbox: 0.1426 loss_iou: 0.2466 d0.loss_cls: 0.3554 d0.loss_bbox: 0.1576 d0.loss_iou: 0.2639 d1.loss_cls: 0.3327 d1.loss_bbox: 0.1450 d1.loss_iou: 0.2537 d2.loss_cls: 0.3219 d2.loss_bbox: 0.1405 d2.loss_iou: 0.2471 d3.loss_cls: 0.3174 d3.loss_bbox: 0.1433 d3.loss_iou: 0.2480 d4.loss_cls: 0.3154 d4.loss_bbox: 0.1402 d4.loss_iou: 0.2456 enc_loss_cls: 0.3569 enc_loss_bbox: 0.1774 enc_loss_iou: 0.2940 dn_loss_cls: 0.1066 dn_loss_bbox: 0.1709 dn_loss_iou: 0.2131 d0.dn_loss_cls: 0.1903 d0.dn_loss_bbox: 0.3336 d0.dn_loss_iou: 0.3733 d1.dn_loss_cls: 0.1381 d1.dn_loss_bbox: 0.2092 d1.dn_loss_iou: 0.2513 d2.dn_loss_cls: 0.1207 d2.dn_loss_bbox: 0.1806 d2.dn_loss_iou: 0.2234 d3.dn_loss_cls: 0.1120 d3.dn_loss_bbox: 0.1721 d3.dn_loss_iou: 0.2151 d4.dn_loss_cls: 0.1073 d4.dn_loss_bbox: 0.1708 d4.dn_loss_iou: 0.2131 d1.loss_lmm_region: 0.1651 loss_lmm_image: 0.8397 +2024/11/07 17:39:51 - mmengine - INFO - Iter(train) [ 47100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:46:07 time: 1.0153 data_time: 0.0183 memory: 23069 grad_norm: 19.5020 loss: 9.4243 loss_cls: 0.2820 loss_bbox: 0.1389 loss_iou: 0.2435 d0.loss_cls: 0.3123 d0.loss_bbox: 0.1552 d0.loss_iou: 0.2623 d1.loss_cls: 0.2998 d1.loss_bbox: 0.1406 d1.loss_iou: 0.2485 d2.loss_cls: 0.2898 d2.loss_bbox: 0.1392 d2.loss_iou: 0.2437 d3.loss_cls: 0.2860 d3.loss_bbox: 0.1387 d3.loss_iou: 0.2423 d4.loss_cls: 0.2838 d4.loss_bbox: 0.1390 d4.loss_iou: 0.2423 enc_loss_cls: 0.3245 enc_loss_bbox: 0.1624 enc_loss_iou: 0.2747 dn_loss_cls: 0.0832 dn_loss_bbox: 0.1808 dn_loss_iou: 0.2331 d0.dn_loss_cls: 0.1699 d0.dn_loss_bbox: 0.3573 d0.dn_loss_iou: 0.3919 d1.dn_loss_cls: 0.1167 d1.dn_loss_bbox: 0.2218 d1.dn_loss_iou: 0.2704 d2.dn_loss_cls: 0.0990 d2.dn_loss_bbox: 0.1912 d2.dn_loss_iou: 0.2434 d3.dn_loss_cls: 0.0907 d3.dn_loss_bbox: 0.1828 d3.dn_loss_iou: 0.2351 d4.dn_loss_cls: 0.0849 d4.dn_loss_bbox: 0.1808 d4.dn_loss_iou: 0.2331 d1.loss_lmm_region: 0.1564 loss_lmm_image: 0.8521 +2024/11/07 17:41:35 - mmengine - INFO - Iter(train) [ 47200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:44:22 time: 1.0357 data_time: 0.0183 memory: 23011 grad_norm: 21.9213 loss: 9.5548 loss_cls: 0.2847 loss_bbox: 0.1414 loss_iou: 0.2591 d0.loss_cls: 0.3206 d0.loss_bbox: 0.1547 d0.loss_iou: 0.2773 d1.loss_cls: 0.3023 d1.loss_bbox: 0.1446 d1.loss_iou: 0.2664 d2.loss_cls: 0.2932 d2.loss_bbox: 0.1422 d2.loss_iou: 0.2607 d3.loss_cls: 0.2886 d3.loss_bbox: 0.1412 d3.loss_iou: 0.2606 d4.loss_cls: 0.2855 d4.loss_bbox: 0.1412 d4.loss_iou: 0.2592 enc_loss_cls: 0.3351 enc_loss_bbox: 0.1705 enc_loss_iou: 0.2992 dn_loss_cls: 0.0804 dn_loss_bbox: 0.1823 dn_loss_iou: 0.2365 d0.dn_loss_cls: 0.1739 d0.dn_loss_bbox: 0.3298 d0.dn_loss_iou: 0.3821 d1.dn_loss_cls: 0.1124 d1.dn_loss_bbox: 0.2144 d1.dn_loss_iou: 0.2695 d2.dn_loss_cls: 0.0952 d2.dn_loss_bbox: 0.1909 d2.dn_loss_iou: 0.2446 d3.dn_loss_cls: 0.0864 d3.dn_loss_bbox: 0.1832 d3.dn_loss_iou: 0.2374 d4.dn_loss_cls: 0.0811 d4.dn_loss_bbox: 0.1823 d4.dn_loss_iou: 0.2365 d1.loss_lmm_region: 0.1249 loss_lmm_image: 0.8825 +2024/11/07 17:43:18 - mmengine - INFO - Iter(train) [ 47300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:42:36 time: 1.0201 data_time: 0.0182 memory: 24072 grad_norm: 23.0594 loss: 10.3845 loss_cls: 0.3281 loss_bbox: 0.1573 loss_iou: 0.2913 d0.loss_cls: 0.3653 d0.loss_bbox: 0.1758 d0.loss_iou: 0.3144 d1.loss_cls: 0.3499 d1.loss_bbox: 0.1598 d1.loss_iou: 0.2937 d2.loss_cls: 0.3381 d2.loss_bbox: 0.1566 d2.loss_iou: 0.2931 d3.loss_cls: 0.3290 d3.loss_bbox: 0.1582 d3.loss_iou: 0.2924 d4.loss_cls: 0.3281 d4.loss_bbox: 0.1572 d4.loss_iou: 0.2913 enc_loss_cls: 0.3857 enc_loss_bbox: 0.1810 enc_loss_iou: 0.3318 dn_loss_cls: 0.0883 dn_loss_bbox: 0.1916 dn_loss_iou: 0.2416 d0.dn_loss_cls: 0.1896 d0.dn_loss_bbox: 0.3626 d0.dn_loss_iou: 0.4008 d1.dn_loss_cls: 0.1282 d1.dn_loss_bbox: 0.2320 d1.dn_loss_iou: 0.2805 d2.dn_loss_cls: 0.1077 d2.dn_loss_bbox: 0.2034 d2.dn_loss_iou: 0.2522 d3.dn_loss_cls: 0.0939 d3.dn_loss_bbox: 0.1921 d3.dn_loss_iou: 0.2432 d4.dn_loss_cls: 0.0887 d4.dn_loss_bbox: 0.1916 d4.dn_loss_iou: 0.2418 d1.loss_lmm_region: 0.1667 loss_lmm_image: 0.8100 +2024/11/07 17:45:03 - mmengine - INFO - Iter(train) [ 47400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:40:52 time: 1.0361 data_time: 0.0183 memory: 23991 grad_norm: 23.4604 loss: 10.3512 loss_cls: 0.3477 loss_bbox: 0.1703 loss_iou: 0.2942 d0.loss_cls: 0.3870 d0.loss_bbox: 0.1833 d0.loss_iou: 0.3083 d1.loss_cls: 0.3605 d1.loss_bbox: 0.1753 d1.loss_iou: 0.3000 d2.loss_cls: 0.3575 d2.loss_bbox: 0.1693 d2.loss_iou: 0.2947 d3.loss_cls: 0.3541 d3.loss_bbox: 0.1687 d3.loss_iou: 0.2940 d4.loss_cls: 0.3496 d4.loss_bbox: 0.1697 d4.loss_iou: 0.2935 enc_loss_cls: 0.4079 enc_loss_bbox: 0.1940 enc_loss_iou: 0.3302 dn_loss_cls: 0.0973 dn_loss_bbox: 0.1608 dn_loss_iou: 0.2259 d0.dn_loss_cls: 0.1867 d0.dn_loss_bbox: 0.3101 d0.dn_loss_iou: 0.3807 d1.dn_loss_cls: 0.1344 d1.dn_loss_bbox: 0.1905 d1.dn_loss_iou: 0.2589 d2.dn_loss_cls: 0.1128 d2.dn_loss_bbox: 0.1653 d2.dn_loss_iou: 0.2340 d3.dn_loss_cls: 0.1040 d3.dn_loss_bbox: 0.1611 d3.dn_loss_iou: 0.2271 d4.dn_loss_cls: 0.0981 d4.dn_loss_bbox: 0.1608 d4.dn_loss_iou: 0.2259 d1.loss_lmm_region: 0.1599 loss_lmm_image: 0.8471 +2024/11/07 17:46:46 - mmengine - INFO - Iter(train) [ 47500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:39:06 time: 1.0399 data_time: 0.0184 memory: 24233 grad_norm: 23.5076 loss: 10.9971 loss_cls: 0.3562 loss_bbox: 0.1752 loss_iou: 0.3125 d0.loss_cls: 0.3938 d0.loss_bbox: 0.1956 d0.loss_iou: 0.3385 d1.loss_cls: 0.3778 d1.loss_bbox: 0.1807 d1.loss_iou: 0.3242 d2.loss_cls: 0.3696 d2.loss_bbox: 0.1790 d2.loss_iou: 0.3151 d3.loss_cls: 0.3639 d3.loss_bbox: 0.1742 d3.loss_iou: 0.3133 d4.loss_cls: 0.3566 d4.loss_bbox: 0.1738 d4.loss_iou: 0.3125 enc_loss_cls: 0.4118 enc_loss_bbox: 0.2015 enc_loss_iou: 0.3573 dn_loss_cls: 0.1198 dn_loss_bbox: 0.1843 dn_loss_iou: 0.2484 d0.dn_loss_cls: 0.2032 d0.dn_loss_bbox: 0.3289 d0.dn_loss_iou: 0.3961 d1.dn_loss_cls: 0.1528 d1.dn_loss_bbox: 0.2171 d1.dn_loss_iou: 0.2843 d2.dn_loss_cls: 0.1364 d2.dn_loss_bbox: 0.1929 d2.dn_loss_iou: 0.2577 d3.dn_loss_cls: 0.1274 d3.dn_loss_bbox: 0.1853 d3.dn_loss_iou: 0.2498 d4.dn_loss_cls: 0.1210 d4.dn_loss_bbox: 0.1844 d4.dn_loss_iou: 0.2484 d1.loss_lmm_region: 0.1741 loss_lmm_image: 0.8018 +2024/11/07 17:48:30 - mmengine - INFO - Iter(train) [ 47600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:37:21 time: 1.0283 data_time: 0.0183 memory: 22402 grad_norm: 22.6907 loss: 8.9968 loss_cls: 0.2670 loss_bbox: 0.1336 loss_iou: 0.2572 d0.loss_cls: 0.2969 d0.loss_bbox: 0.1461 d0.loss_iou: 0.2687 d1.loss_cls: 0.2785 d1.loss_bbox: 0.1447 d1.loss_iou: 0.2675 d2.loss_cls: 0.2762 d2.loss_bbox: 0.1359 d2.loss_iou: 0.2606 d3.loss_cls: 0.2725 d3.loss_bbox: 0.1345 d3.loss_iou: 0.2578 d4.loss_cls: 0.2665 d4.loss_bbox: 0.1337 d4.loss_iou: 0.2583 enc_loss_cls: 0.3084 enc_loss_bbox: 0.1662 enc_loss_iou: 0.2982 dn_loss_cls: 0.0613 dn_loss_bbox: 0.1611 dn_loss_iou: 0.2336 d0.dn_loss_cls: 0.1457 d0.dn_loss_bbox: 0.3254 d0.dn_loss_iou: 0.3936 d1.dn_loss_cls: 0.0904 d1.dn_loss_bbox: 0.1930 d1.dn_loss_iou: 0.2669 d2.dn_loss_cls: 0.0757 d2.dn_loss_bbox: 0.1698 d2.dn_loss_iou: 0.2425 d3.dn_loss_cls: 0.0669 d3.dn_loss_bbox: 0.1635 d3.dn_loss_iou: 0.2352 d4.dn_loss_cls: 0.0617 d4.dn_loss_bbox: 0.1611 d4.dn_loss_iou: 0.2336 d1.loss_lmm_region: 0.1227 loss_lmm_image: 0.7641 +2024/11/07 17:50:12 - mmengine - INFO - Iter(train) [ 47700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:35:34 time: 1.0388 data_time: 0.0184 memory: 24119 grad_norm: 21.6480 loss: 8.8564 loss_cls: 0.3079 loss_bbox: 0.1186 loss_iou: 0.2298 d0.loss_cls: 0.3354 d0.loss_bbox: 0.1325 d0.loss_iou: 0.2523 d1.loss_cls: 0.3232 d1.loss_bbox: 0.1238 d1.loss_iou: 0.2397 d2.loss_cls: 0.3152 d2.loss_bbox: 0.1224 d2.loss_iou: 0.2355 d3.loss_cls: 0.3016 d3.loss_bbox: 0.1210 d3.loss_iou: 0.2333 d4.loss_cls: 0.3078 d4.loss_bbox: 0.1198 d4.loss_iou: 0.2305 enc_loss_cls: 0.3496 enc_loss_bbox: 0.1392 enc_loss_iou: 0.2663 dn_loss_cls: 0.0728 dn_loss_bbox: 0.1472 dn_loss_iou: 0.2146 d0.dn_loss_cls: 0.1583 d0.dn_loss_bbox: 0.2815 d0.dn_loss_iou: 0.3530 d1.dn_loss_cls: 0.1027 d1.dn_loss_bbox: 0.1748 d1.dn_loss_iou: 0.2429 d2.dn_loss_cls: 0.0848 d2.dn_loss_bbox: 0.1541 d2.dn_loss_iou: 0.2218 d3.dn_loss_cls: 0.0769 d3.dn_loss_bbox: 0.1478 d3.dn_loss_iou: 0.2157 d4.dn_loss_cls: 0.0733 d4.dn_loss_bbox: 0.1472 d4.dn_loss_iou: 0.2146 d1.loss_lmm_region: 0.1568 loss_lmm_image: 0.8100 +2024/11/07 17:51:55 - mmengine - INFO - Iter(train) [ 47800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:33:47 time: 1.0289 data_time: 0.0185 memory: 23012 grad_norm: 19.9735 loss: 10.9476 loss_cls: 0.3747 loss_bbox: 0.1630 loss_iou: 0.3128 d0.loss_cls: 0.4242 d0.loss_bbox: 0.1806 d0.loss_iou: 0.3384 d1.loss_cls: 0.3990 d1.loss_bbox: 0.1692 d1.loss_iou: 0.3250 d2.loss_cls: 0.3867 d2.loss_bbox: 0.1650 d2.loss_iou: 0.3147 d3.loss_cls: 0.3796 d3.loss_bbox: 0.1658 d3.loss_iou: 0.3144 d4.loss_cls: 0.3776 d4.loss_bbox: 0.1612 d4.loss_iou: 0.3102 enc_loss_cls: 0.4309 enc_loss_bbox: 0.1924 enc_loss_iou: 0.3620 dn_loss_cls: 0.0979 dn_loss_bbox: 0.1788 dn_loss_iou: 0.2407 d0.dn_loss_cls: 0.1882 d0.dn_loss_bbox: 0.3407 d0.dn_loss_iou: 0.4010 d1.dn_loss_cls: 0.1301 d1.dn_loss_bbox: 0.2173 d1.dn_loss_iou: 0.2769 d2.dn_loss_cls: 0.1130 d2.dn_loss_bbox: 0.1901 d2.dn_loss_iou: 0.2510 d3.dn_loss_cls: 0.1038 d3.dn_loss_bbox: 0.1812 d3.dn_loss_iou: 0.2429 d4.dn_loss_cls: 0.0996 d4.dn_loss_bbox: 0.1786 d4.dn_loss_iou: 0.2406 d1.loss_lmm_region: 0.1684 loss_lmm_image: 0.8593 +2024/11/07 17:53:38 - mmengine - INFO - Iter(train) [ 47900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:31:59 time: 1.0244 data_time: 0.0184 memory: 23877 grad_norm: 21.5556 loss: 10.6774 loss_cls: 0.3470 loss_bbox: 0.1768 loss_iou: 0.3503 d0.loss_cls: 0.3971 d0.loss_bbox: 0.1868 d0.loss_iou: 0.3766 d1.loss_cls: 0.3738 d1.loss_bbox: 0.1759 d1.loss_iou: 0.3541 d2.loss_cls: 0.3592 d2.loss_bbox: 0.1767 d2.loss_iou: 0.3483 d3.loss_cls: 0.3561 d3.loss_bbox: 0.1743 d3.loss_iou: 0.3482 d4.loss_cls: 0.3502 d4.loss_bbox: 0.1755 d4.loss_iou: 0.3485 enc_loss_cls: 0.3995 enc_loss_bbox: 0.2021 enc_loss_iou: 0.3996 dn_loss_cls: 0.0758 dn_loss_bbox: 0.1557 dn_loss_iou: 0.2384 d0.dn_loss_cls: 0.1565 d0.dn_loss_bbox: 0.2930 d0.dn_loss_iou: 0.3804 d1.dn_loss_cls: 0.1036 d1.dn_loss_bbox: 0.1861 d1.dn_loss_iou: 0.2700 d2.dn_loss_cls: 0.0877 d2.dn_loss_bbox: 0.1643 d2.dn_loss_iou: 0.2464 d3.dn_loss_cls: 0.0801 d3.dn_loss_bbox: 0.1569 d3.dn_loss_iou: 0.2393 d4.dn_loss_cls: 0.0759 d4.dn_loss_bbox: 0.1557 d4.dn_loss_iou: 0.2384 d1.loss_lmm_region: 0.1358 loss_lmm_image: 0.8609 +2024/11/07 17:55:20 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/07 17:55:20 - mmengine - INFO - Iter(train) [ 48000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:30:12 time: 1.0183 data_time: 0.0183 memory: 23751 grad_norm: 24.3229 loss: 9.9464 loss_cls: 0.3075 loss_bbox: 0.1558 loss_iou: 0.2657 d0.loss_cls: 0.3538 d0.loss_bbox: 0.1672 d0.loss_iou: 0.2833 d1.loss_cls: 0.3321 d1.loss_bbox: 0.1594 d1.loss_iou: 0.2739 d2.loss_cls: 0.3229 d2.loss_bbox: 0.1564 d2.loss_iou: 0.2678 d3.loss_cls: 0.3181 d3.loss_bbox: 0.1535 d3.loss_iou: 0.2643 d4.loss_cls: 0.3102 d4.loss_bbox: 0.1558 d4.loss_iou: 0.2651 enc_loss_cls: 0.3625 enc_loss_bbox: 0.1854 enc_loss_iou: 0.3067 dn_loss_cls: 0.1157 dn_loss_bbox: 0.1823 dn_loss_iou: 0.2260 d0.dn_loss_cls: 0.1890 d0.dn_loss_bbox: 0.3256 d0.dn_loss_iou: 0.3733 d1.dn_loss_cls: 0.1452 d1.dn_loss_bbox: 0.2108 d1.dn_loss_iou: 0.2584 d2.dn_loss_cls: 0.1341 d2.dn_loss_bbox: 0.1889 d2.dn_loss_iou: 0.2347 d3.dn_loss_cls: 0.1248 d3.dn_loss_bbox: 0.1844 d3.dn_loss_iou: 0.2279 d4.dn_loss_cls: 0.1178 d4.dn_loss_bbox: 0.1823 d4.dn_loss_iou: 0.2261 d1.loss_lmm_region: 0.1584 loss_lmm_image: 0.7735 +2024/11/07 17:57:04 - mmengine - INFO - Iter(train) [ 48100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:28:26 time: 1.0314 data_time: 0.0184 memory: 25037 grad_norm: 21.3785 loss: 9.3012 loss_cls: 0.2733 loss_bbox: 0.1180 loss_iou: 0.2631 d0.loss_cls: 0.3115 d0.loss_bbox: 0.1327 d0.loss_iou: 0.2830 d1.loss_cls: 0.2903 d1.loss_bbox: 0.1229 d1.loss_iou: 0.2718 d2.loss_cls: 0.2840 d2.loss_bbox: 0.1191 d2.loss_iou: 0.2651 d3.loss_cls: 0.2777 d3.loss_bbox: 0.1178 d3.loss_iou: 0.2642 d4.loss_cls: 0.2765 d4.loss_bbox: 0.1174 d4.loss_iou: 0.2625 enc_loss_cls: 0.3222 enc_loss_bbox: 0.1407 enc_loss_iou: 0.3064 dn_loss_cls: 0.0968 dn_loss_bbox: 0.1741 dn_loss_iou: 0.2249 d0.dn_loss_cls: 0.1750 d0.dn_loss_bbox: 0.3193 d0.dn_loss_iou: 0.3756 d1.dn_loss_cls: 0.1292 d1.dn_loss_bbox: 0.2025 d1.dn_loss_iou: 0.2576 d2.dn_loss_cls: 0.1110 d2.dn_loss_bbox: 0.1804 d2.dn_loss_iou: 0.2327 d3.dn_loss_cls: 0.1049 d3.dn_loss_bbox: 0.1742 d3.dn_loss_iou: 0.2255 d4.dn_loss_cls: 0.0975 d4.dn_loss_bbox: 0.1740 d4.dn_loss_iou: 0.2248 d1.loss_lmm_region: 0.1377 loss_lmm_image: 0.8632 +2024/11/07 17:58:46 - mmengine - INFO - Iter(train) [ 48200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:26:39 time: 1.0276 data_time: 0.0184 memory: 23304 grad_norm: 22.4619 loss: 11.4389 loss_cls: 0.3547 loss_bbox: 0.1993 loss_iou: 0.3465 d0.loss_cls: 0.3983 d0.loss_bbox: 0.2234 d0.loss_iou: 0.3731 d1.loss_cls: 0.3839 d1.loss_bbox: 0.2028 d1.loss_iou: 0.3549 d2.loss_cls: 0.3730 d2.loss_bbox: 0.1962 d2.loss_iou: 0.3445 d3.loss_cls: 0.3650 d3.loss_bbox: 0.1973 d3.loss_iou: 0.3445 d4.loss_cls: 0.3532 d4.loss_bbox: 0.2007 d4.loss_iou: 0.3468 enc_loss_cls: 0.4096 enc_loss_bbox: 0.2358 enc_loss_iou: 0.4001 dn_loss_cls: 0.0960 dn_loss_bbox: 0.2005 dn_loss_iou: 0.2501 d0.dn_loss_cls: 0.1934 d0.dn_loss_bbox: 0.3710 d0.dn_loss_iou: 0.4063 d1.dn_loss_cls: 0.1333 d1.dn_loss_bbox: 0.2413 d1.dn_loss_iou: 0.2852 d2.dn_loss_cls: 0.1144 d2.dn_loss_bbox: 0.2114 d2.dn_loss_iou: 0.2592 d3.dn_loss_cls: 0.1035 d3.dn_loss_bbox: 0.2023 d3.dn_loss_iou: 0.2521 d4.dn_loss_cls: 0.0974 d4.dn_loss_bbox: 0.2002 d4.dn_loss_iou: 0.2500 d1.loss_lmm_region: 0.1696 loss_lmm_image: 0.7982 +2024/11/07 18:00:29 - mmengine - INFO - Iter(train) [ 48300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:24:51 time: 1.0212 data_time: 0.0185 memory: 22600 grad_norm: 24.0789 loss: 9.2497 loss_cls: 0.2634 loss_bbox: 0.1525 loss_iou: 0.2226 d0.loss_cls: 0.3039 d0.loss_bbox: 0.1591 d0.loss_iou: 0.2362 d1.loss_cls: 0.2828 d1.loss_bbox: 0.1567 d1.loss_iou: 0.2301 d2.loss_cls: 0.2756 d2.loss_bbox: 0.1520 d2.loss_iou: 0.2246 d3.loss_cls: 0.2660 d3.loss_bbox: 0.1537 d3.loss_iou: 0.2244 d4.loss_cls: 0.2653 d4.loss_bbox: 0.1520 d4.loss_iou: 0.2227 enc_loss_cls: 0.3269 enc_loss_bbox: 0.1726 enc_loss_iou: 0.2555 dn_loss_cls: 0.0970 dn_loss_bbox: 0.1798 dn_loss_iou: 0.2221 d0.dn_loss_cls: 0.1934 d0.dn_loss_bbox: 0.3428 d0.dn_loss_iou: 0.3765 d1.dn_loss_cls: 0.1346 d1.dn_loss_bbox: 0.2139 d1.dn_loss_iou: 0.2544 d2.dn_loss_cls: 0.1156 d2.dn_loss_bbox: 0.1877 d2.dn_loss_iou: 0.2304 d3.dn_loss_cls: 0.1036 d3.dn_loss_bbox: 0.1816 d3.dn_loss_iou: 0.2234 d4.dn_loss_cls: 0.0988 d4.dn_loss_bbox: 0.1798 d4.dn_loss_iou: 0.2220 d1.loss_lmm_region: 0.1920 loss_lmm_image: 0.8017 +2024/11/07 18:02:11 - mmengine - INFO - Iter(train) [ 48400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:23:04 time: 1.0293 data_time: 0.0185 memory: 23799 grad_norm: 22.5024 loss: 10.2778 loss_cls: 0.3119 loss_bbox: 0.1591 loss_iou: 0.3114 d0.loss_cls: 0.3526 d0.loss_bbox: 0.1640 d0.loss_iou: 0.3236 d1.loss_cls: 0.3331 d1.loss_bbox: 0.1588 d1.loss_iou: 0.3162 d2.loss_cls: 0.3246 d2.loss_bbox: 0.1545 d2.loss_iou: 0.3132 d3.loss_cls: 0.3216 d3.loss_bbox: 0.1550 d3.loss_iou: 0.3105 d4.loss_cls: 0.3128 d4.loss_bbox: 0.1577 d4.loss_iou: 0.3109 enc_loss_cls: 0.3692 enc_loss_bbox: 0.1792 enc_loss_iou: 0.3446 dn_loss_cls: 0.0790 dn_loss_bbox: 0.1773 dn_loss_iou: 0.2563 d0.dn_loss_cls: 0.1737 d0.dn_loss_bbox: 0.3173 d0.dn_loss_iou: 0.4034 d1.dn_loss_cls: 0.1139 d1.dn_loss_bbox: 0.2038 d1.dn_loss_iou: 0.2866 d2.dn_loss_cls: 0.0944 d2.dn_loss_bbox: 0.1833 d2.dn_loss_iou: 0.2632 d3.dn_loss_cls: 0.0839 d3.dn_loss_bbox: 0.1782 d3.dn_loss_iou: 0.2574 d4.dn_loss_cls: 0.0790 d4.dn_loss_bbox: 0.1772 d4.dn_loss_iou: 0.2561 d1.loss_lmm_region: 0.1770 loss_lmm_image: 0.8323 +2024/11/07 18:03:55 - mmengine - INFO - Iter(train) [ 48500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:21:18 time: 1.0337 data_time: 0.0183 memory: 23443 grad_norm: 25.0296 loss: 9.6869 loss_cls: 0.2966 loss_bbox: 0.1334 loss_iou: 0.2370 d0.loss_cls: 0.3238 d0.loss_bbox: 0.1520 d0.loss_iou: 0.2546 d1.loss_cls: 0.3062 d1.loss_bbox: 0.1416 d1.loss_iou: 0.2469 d2.loss_cls: 0.3015 d2.loss_bbox: 0.1371 d2.loss_iou: 0.2427 d3.loss_cls: 0.2977 d3.loss_bbox: 0.1367 d3.loss_iou: 0.2404 d4.loss_cls: 0.2944 d4.loss_bbox: 0.1360 d4.loss_iou: 0.2396 enc_loss_cls: 0.3461 enc_loss_bbox: 0.1681 enc_loss_iou: 0.2769 dn_loss_cls: 0.1029 dn_loss_bbox: 0.2021 dn_loss_iou: 0.2287 d0.dn_loss_cls: 0.1957 d0.dn_loss_bbox: 0.3622 d0.dn_loss_iou: 0.3831 d1.dn_loss_cls: 0.1375 d1.dn_loss_bbox: 0.2362 d1.dn_loss_iou: 0.2660 d2.dn_loss_cls: 0.1193 d2.dn_loss_bbox: 0.2135 d2.dn_loss_iou: 0.2396 d3.dn_loss_cls: 0.1085 d3.dn_loss_bbox: 0.2036 d3.dn_loss_iou: 0.2306 d4.dn_loss_cls: 0.1041 d4.dn_loss_bbox: 0.2020 d4.dn_loss_iou: 0.2287 d1.loss_lmm_region: 0.1620 loss_lmm_image: 0.8514 +2024/11/07 18:05:38 - mmengine - INFO - Iter(train) [ 48600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:19:32 time: 1.0421 data_time: 0.0184 memory: 24665 grad_norm: 21.9841 loss: 9.8177 loss_cls: 0.3371 loss_bbox: 0.1513 loss_iou: 0.2927 d0.loss_cls: 0.3757 d0.loss_bbox: 0.1656 d0.loss_iou: 0.3162 d1.loss_cls: 0.3561 d1.loss_bbox: 0.1541 d1.loss_iou: 0.3024 d2.loss_cls: 0.3491 d2.loss_bbox: 0.1504 d2.loss_iou: 0.2943 d3.loss_cls: 0.3444 d3.loss_bbox: 0.1492 d3.loss_iou: 0.2895 d4.loss_cls: 0.3390 d4.loss_bbox: 0.1501 d4.loss_iou: 0.2923 enc_loss_cls: 0.3913 enc_loss_bbox: 0.1748 enc_loss_iou: 0.3395 dn_loss_cls: 0.0719 dn_loss_bbox: 0.1515 dn_loss_iou: 0.2151 d0.dn_loss_cls: 0.1576 d0.dn_loss_bbox: 0.2917 d0.dn_loss_iou: 0.3612 d1.dn_loss_cls: 0.1033 d1.dn_loss_bbox: 0.1772 d1.dn_loss_iou: 0.2455 d2.dn_loss_cls: 0.0853 d2.dn_loss_bbox: 0.1571 d2.dn_loss_iou: 0.2224 d3.dn_loss_cls: 0.0780 d3.dn_loss_bbox: 0.1532 d3.dn_loss_iou: 0.2166 d4.dn_loss_cls: 0.0724 d4.dn_loss_bbox: 0.1517 d4.dn_loss_iou: 0.2151 d1.loss_lmm_region: 0.1409 loss_lmm_image: 0.8350 +2024/11/07 18:07:21 - mmengine - INFO - Iter(train) [ 48700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:17:45 time: 1.0230 data_time: 0.0185 memory: 23816 grad_norm: 22.2926 loss: 9.4698 loss_cls: 0.2902 loss_bbox: 0.1377 loss_iou: 0.2334 d0.loss_cls: 0.3291 d0.loss_bbox: 0.1511 d0.loss_iou: 0.2518 d1.loss_cls: 0.3091 d1.loss_bbox: 0.1442 d1.loss_iou: 0.2417 d2.loss_cls: 0.3012 d2.loss_bbox: 0.1394 d2.loss_iou: 0.2356 d3.loss_cls: 0.2904 d3.loss_bbox: 0.1392 d3.loss_iou: 0.2352 d4.loss_cls: 0.2907 d4.loss_bbox: 0.1389 d4.loss_iou: 0.2333 enc_loss_cls: 0.3418 enc_loss_bbox: 0.1688 enc_loss_iou: 0.2799 dn_loss_cls: 0.0850 dn_loss_bbox: 0.2036 dn_loss_iou: 0.2331 d0.dn_loss_cls: 0.1681 d0.dn_loss_bbox: 0.3669 d0.dn_loss_iou: 0.3917 d1.dn_loss_cls: 0.1173 d1.dn_loss_bbox: 0.2415 d1.dn_loss_iou: 0.2703 d2.dn_loss_cls: 0.0995 d2.dn_loss_bbox: 0.2131 d2.dn_loss_iou: 0.2434 d3.dn_loss_cls: 0.0885 d3.dn_loss_bbox: 0.2050 d3.dn_loss_iou: 0.2346 d4.dn_loss_cls: 0.0853 d4.dn_loss_bbox: 0.2036 d4.dn_loss_iou: 0.2330 d1.loss_lmm_region: 0.1187 loss_lmm_image: 0.7848 +2024/11/07 18:09:04 - mmengine - INFO - Iter(train) [ 48800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:16:00 time: 1.0352 data_time: 0.0183 memory: 22244 grad_norm: 21.7115 loss: 8.4866 loss_cls: 0.2517 loss_bbox: 0.1120 loss_iou: 0.2167 d0.loss_cls: 0.2806 d0.loss_bbox: 0.1202 d0.loss_iou: 0.2265 d1.loss_cls: 0.2628 d1.loss_bbox: 0.1159 d1.loss_iou: 0.2209 d2.loss_cls: 0.2594 d2.loss_bbox: 0.1141 d2.loss_iou: 0.2183 d3.loss_cls: 0.2583 d3.loss_bbox: 0.1112 d3.loss_iou: 0.2170 d4.loss_cls: 0.2547 d4.loss_bbox: 0.1119 d4.loss_iou: 0.2167 enc_loss_cls: 0.2924 enc_loss_bbox: 0.1301 enc_loss_iou: 0.2433 dn_loss_cls: 0.0978 dn_loss_bbox: 0.1571 dn_loss_iou: 0.2022 d0.dn_loss_cls: 0.1744 d0.dn_loss_bbox: 0.3098 d0.dn_loss_iou: 0.3417 d1.dn_loss_cls: 0.1246 d1.dn_loss_bbox: 0.1884 d1.dn_loss_iou: 0.2323 d2.dn_loss_cls: 0.1106 d2.dn_loss_bbox: 0.1640 d2.dn_loss_iou: 0.2097 d3.dn_loss_cls: 0.1034 d3.dn_loss_bbox: 0.1587 d3.dn_loss_iou: 0.2033 d4.dn_loss_cls: 0.0990 d4.dn_loss_bbox: 0.1572 d4.dn_loss_iou: 0.2021 d1.loss_lmm_region: 0.1422 loss_lmm_image: 0.8733 +2024/11/07 18:10:48 - mmengine - INFO - Iter(train) [ 48900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:14:15 time: 1.0310 data_time: 0.0185 memory: 23650 grad_norm: nan loss: 9.8626 loss_cls: 0.2944 loss_bbox: 0.1447 loss_iou: 0.2903 d0.loss_cls: 0.3236 d0.loss_bbox: 0.1621 d0.loss_iou: 0.3040 d1.loss_cls: 0.3094 d1.loss_bbox: 0.1509 d1.loss_iou: 0.2961 d2.loss_cls: 0.3049 d2.loss_bbox: 0.1458 d2.loss_iou: 0.2916 d3.loss_cls: 0.2959 d3.loss_bbox: 0.1455 d3.loss_iou: 0.2901 d4.loss_cls: 0.2935 d4.loss_bbox: 0.1451 d4.loss_iou: 0.2902 enc_loss_cls: 0.3415 enc_loss_bbox: 0.1712 enc_loss_iou: 0.3246 dn_loss_cls: 0.0866 dn_loss_bbox: 0.1785 dn_loss_iou: 0.2399 d0.dn_loss_cls: 0.1798 d0.dn_loss_bbox: 0.3321 d0.dn_loss_iou: 0.3939 d1.dn_loss_cls: 0.1210 d1.dn_loss_bbox: 0.2127 d1.dn_loss_iou: 0.2725 d2.dn_loss_cls: 0.1007 d2.dn_loss_bbox: 0.1860 d2.dn_loss_iou: 0.2480 d3.dn_loss_cls: 0.0911 d3.dn_loss_bbox: 0.1790 d3.dn_loss_iou: 0.2409 d4.dn_loss_cls: 0.0870 d4.dn_loss_bbox: 0.1784 d4.dn_loss_iou: 0.2397 d1.loss_lmm_region: 0.1493 loss_lmm_image: 0.8304 +2024/11/07 18:12:31 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/07 18:12:31 - mmengine - INFO - Iter(train) [ 49000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:12:29 time: 1.0299 data_time: 0.0187 memory: 23720 grad_norm: 20.3667 loss: 11.0374 loss_cls: 0.3842 loss_bbox: 0.1639 loss_iou: 0.3090 d0.loss_cls: 0.4142 d0.loss_bbox: 0.1887 d0.loss_iou: 0.3388 d1.loss_cls: 0.4027 d1.loss_bbox: 0.1716 d1.loss_iou: 0.3179 d2.loss_cls: 0.3949 d2.loss_bbox: 0.1643 d2.loss_iou: 0.3094 d3.loss_cls: 0.3932 d3.loss_bbox: 0.1653 d3.loss_iou: 0.3079 d4.loss_cls: 0.3859 d4.loss_bbox: 0.1637 d4.loss_iou: 0.3054 enc_loss_cls: 0.4404 enc_loss_bbox: 0.2022 enc_loss_iou: 0.3589 dn_loss_cls: 0.1061 dn_loss_bbox: 0.1843 dn_loss_iou: 0.2418 d0.dn_loss_cls: 0.1890 d0.dn_loss_bbox: 0.3424 d0.dn_loss_iou: 0.4004 d1.dn_loss_cls: 0.1367 d1.dn_loss_bbox: 0.2215 d1.dn_loss_iou: 0.2803 d2.dn_loss_cls: 0.1207 d2.dn_loss_bbox: 0.1936 d2.dn_loss_iou: 0.2529 d3.dn_loss_cls: 0.1113 d3.dn_loss_bbox: 0.1855 d3.dn_loss_iou: 0.2436 d4.dn_loss_cls: 0.1060 d4.dn_loss_bbox: 0.1844 d4.dn_loss_iou: 0.2421 d1.loss_lmm_region: 0.1506 loss_lmm_image: 0.8618 +2024/11/07 18:14:14 - mmengine - INFO - Iter(train) [ 49100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:10:41 time: 1.0284 data_time: 0.0184 memory: 23498 grad_norm: 23.9262 loss: 9.3256 loss_cls: 0.2903 loss_bbox: 0.1365 loss_iou: 0.2569 d0.loss_cls: 0.3242 d0.loss_bbox: 0.1491 d0.loss_iou: 0.2754 d1.loss_cls: 0.3031 d1.loss_bbox: 0.1442 d1.loss_iou: 0.2645 d2.loss_cls: 0.2974 d2.loss_bbox: 0.1366 d2.loss_iou: 0.2575 d3.loss_cls: 0.2957 d3.loss_bbox: 0.1350 d3.loss_iou: 0.2544 d4.loss_cls: 0.2892 d4.loss_bbox: 0.1373 d4.loss_iou: 0.2566 enc_loss_cls: 0.3457 enc_loss_bbox: 0.1607 enc_loss_iou: 0.2932 dn_loss_cls: 0.1066 dn_loss_bbox: 0.1596 dn_loss_iou: 0.2033 d0.dn_loss_cls: 0.1881 d0.dn_loss_bbox: 0.3061 d0.dn_loss_iou: 0.3518 d1.dn_loss_cls: 0.1327 d1.dn_loss_bbox: 0.1910 d1.dn_loss_iou: 0.2351 d2.dn_loss_cls: 0.1198 d2.dn_loss_bbox: 0.1663 d2.dn_loss_iou: 0.2118 d3.dn_loss_cls: 0.1101 d3.dn_loss_bbox: 0.1605 d3.dn_loss_iou: 0.2045 d4.dn_loss_cls: 0.1067 d4.dn_loss_bbox: 0.1596 d4.dn_loss_iou: 0.2033 d1.loss_lmm_region: 0.1596 loss_lmm_image: 0.8457 +2024/11/07 18:15:57 - mmengine - INFO - Iter(train) [ 49200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:08:57 time: 1.0353 data_time: 0.0184 memory: 23489 grad_norm: 24.3306 loss: 10.6080 loss_cls: 0.3731 loss_bbox: 0.1551 loss_iou: 0.3188 d0.loss_cls: 0.4090 d0.loss_bbox: 0.1789 d0.loss_iou: 0.3465 d1.loss_cls: 0.3901 d1.loss_bbox: 0.1617 d1.loss_iou: 0.3228 d2.loss_cls: 0.3885 d2.loss_bbox: 0.1560 d2.loss_iou: 0.3188 d3.loss_cls: 0.3815 d3.loss_bbox: 0.1545 d3.loss_iou: 0.3151 d4.loss_cls: 0.3744 d4.loss_bbox: 0.1544 d4.loss_iou: 0.3167 enc_loss_cls: 0.4252 enc_loss_bbox: 0.1855 enc_loss_iou: 0.3637 dn_loss_cls: 0.0973 dn_loss_bbox: 0.1679 dn_loss_iou: 0.2152 d0.dn_loss_cls: 0.1827 d0.dn_loss_bbox: 0.3176 d0.dn_loss_iou: 0.3614 d1.dn_loss_cls: 0.1345 d1.dn_loss_bbox: 0.1980 d1.dn_loss_iou: 0.2474 d2.dn_loss_cls: 0.1152 d2.dn_loss_bbox: 0.1751 d2.dn_loss_iou: 0.2240 d3.dn_loss_cls: 0.1017 d3.dn_loss_bbox: 0.1684 d3.dn_loss_iou: 0.2161 d4.dn_loss_cls: 0.0987 d4.dn_loss_bbox: 0.1676 d4.dn_loss_iou: 0.2151 d1.loss_lmm_region: 0.1441 loss_lmm_image: 0.8694 +2024/11/07 18:17:40 - mmengine - INFO - Iter(train) [ 49300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:07:10 time: 1.0282 data_time: 0.0185 memory: 23893 grad_norm: 22.9134 loss: 10.4064 loss_cls: 0.3487 loss_bbox: 0.1596 loss_iou: 0.2867 d0.loss_cls: 0.3933 d0.loss_bbox: 0.1790 d0.loss_iou: 0.3060 d1.loss_cls: 0.3709 d1.loss_bbox: 0.1621 d1.loss_iou: 0.2921 d2.loss_cls: 0.3610 d2.loss_bbox: 0.1544 d2.loss_iou: 0.2855 d3.loss_cls: 0.3574 d3.loss_bbox: 0.1581 d3.loss_iou: 0.2871 d4.loss_cls: 0.3506 d4.loss_bbox: 0.1604 d4.loss_iou: 0.2868 enc_loss_cls: 0.4074 enc_loss_bbox: 0.1949 enc_loss_iou: 0.3278 dn_loss_cls: 0.0947 dn_loss_bbox: 0.1867 dn_loss_iou: 0.2263 d0.dn_loss_cls: 0.1900 d0.dn_loss_bbox: 0.3367 d0.dn_loss_iou: 0.3748 d1.dn_loss_cls: 0.1266 d1.dn_loss_bbox: 0.2160 d1.dn_loss_iou: 0.2570 d2.dn_loss_cls: 0.1105 d2.dn_loss_bbox: 0.1964 d2.dn_loss_iou: 0.2346 d3.dn_loss_cls: 0.1016 d3.dn_loss_bbox: 0.1883 d3.dn_loss_iou: 0.2277 d4.dn_loss_cls: 0.0946 d4.dn_loss_bbox: 0.1868 d4.dn_loss_iou: 0.2261 d1.loss_lmm_region: 0.1535 loss_lmm_image: 0.8481 +2024/11/07 18:19:24 - mmengine - INFO - Iter(train) [ 49400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:05:25 time: 1.0210 data_time: 0.0184 memory: 23704 grad_norm: 23.7185 loss: 9.6112 loss_cls: 0.3107 loss_bbox: 0.1469 loss_iou: 0.2595 d0.loss_cls: 0.3384 d0.loss_bbox: 0.1636 d0.loss_iou: 0.2820 d1.loss_cls: 0.3246 d1.loss_bbox: 0.1526 d1.loss_iou: 0.2704 d2.loss_cls: 0.3212 d2.loss_bbox: 0.1476 d2.loss_iou: 0.2624 d3.loss_cls: 0.3139 d3.loss_bbox: 0.1503 d3.loss_iou: 0.2625 d4.loss_cls: 0.3122 d4.loss_bbox: 0.1449 d4.loss_iou: 0.2596 enc_loss_cls: 0.3532 enc_loss_bbox: 0.1767 enc_loss_iou: 0.3009 dn_loss_cls: 0.1003 dn_loss_bbox: 0.1656 dn_loss_iou: 0.2143 d0.dn_loss_cls: 0.1727 d0.dn_loss_bbox: 0.2998 d0.dn_loss_iou: 0.3466 d1.dn_loss_cls: 0.1284 d1.dn_loss_bbox: 0.1962 d1.dn_loss_iou: 0.2434 d2.dn_loss_cls: 0.1180 d2.dn_loss_bbox: 0.1704 d2.dn_loss_iou: 0.2213 d3.dn_loss_cls: 0.1085 d3.dn_loss_bbox: 0.1655 d3.dn_loss_iou: 0.2150 d4.dn_loss_cls: 0.1017 d4.dn_loss_bbox: 0.1657 d4.dn_loss_iou: 0.2142 d1.loss_lmm_region: 0.1580 loss_lmm_image: 0.8517 +2024/11/07 18:21:07 - mmengine - INFO - Iter(train) [ 49500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:03:39 time: 1.0356 data_time: 0.0184 memory: 24292 grad_norm: 22.4103 loss: 10.5048 loss_cls: 0.3169 loss_bbox: 0.1707 loss_iou: 0.2923 d0.loss_cls: 0.3483 d0.loss_bbox: 0.1846 d0.loss_iou: 0.3125 d1.loss_cls: 0.3341 d1.loss_bbox: 0.1746 d1.loss_iou: 0.3054 d2.loss_cls: 0.3248 d2.loss_bbox: 0.1756 d2.loss_iou: 0.2983 d3.loss_cls: 0.3207 d3.loss_bbox: 0.1735 d3.loss_iou: 0.2940 d4.loss_cls: 0.3160 d4.loss_bbox: 0.1722 d4.loss_iou: 0.2953 enc_loss_cls: 0.3629 enc_loss_bbox: 0.1935 enc_loss_iou: 0.3308 dn_loss_cls: 0.1017 dn_loss_bbox: 0.1873 dn_loss_iou: 0.2447 d0.dn_loss_cls: 0.1983 d0.dn_loss_bbox: 0.3479 d0.dn_loss_iou: 0.4012 d1.dn_loss_cls: 0.1415 d1.dn_loss_bbox: 0.2221 d1.dn_loss_iou: 0.2791 d2.dn_loss_cls: 0.1233 d2.dn_loss_bbox: 0.1978 d2.dn_loss_iou: 0.2544 d3.dn_loss_cls: 0.1110 d3.dn_loss_bbox: 0.1886 d3.dn_loss_iou: 0.2458 d4.dn_loss_cls: 0.1041 d4.dn_loss_bbox: 0.1874 d4.dn_loss_iou: 0.2446 d1.loss_lmm_region: 0.2005 loss_lmm_image: 0.8266 +2024/11/07 18:22:50 - mmengine - INFO - Iter(train) [ 49600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:01:53 time: 1.0333 data_time: 0.0183 memory: 24451 grad_norm: 23.0179 loss: 8.6011 loss_cls: 0.2669 loss_bbox: 0.1229 loss_iou: 0.1914 d0.loss_cls: 0.3051 d0.loss_bbox: 0.1291 d0.loss_iou: 0.2051 d1.loss_cls: 0.2814 d1.loss_bbox: 0.1256 d1.loss_iou: 0.1990 d2.loss_cls: 0.2755 d2.loss_bbox: 0.1201 d2.loss_iou: 0.1906 d3.loss_cls: 0.2687 d3.loss_bbox: 0.1221 d3.loss_iou: 0.1906 d4.loss_cls: 0.2676 d4.loss_bbox: 0.1231 d4.loss_iou: 0.1907 enc_loss_cls: 0.3192 enc_loss_bbox: 0.1479 enc_loss_iou: 0.2282 dn_loss_cls: 0.0914 dn_loss_bbox: 0.1800 dn_loss_iou: 0.1985 d0.dn_loss_cls: 0.1672 d0.dn_loss_bbox: 0.3459 d0.dn_loss_iou: 0.3487 d1.dn_loss_cls: 0.1171 d1.dn_loss_bbox: 0.2227 d1.dn_loss_iou: 0.2322 d2.dn_loss_cls: 0.1050 d2.dn_loss_bbox: 0.1921 d2.dn_loss_iou: 0.2073 d3.dn_loss_cls: 0.0968 d3.dn_loss_bbox: 0.1824 d3.dn_loss_iou: 0.1999 d4.dn_loss_cls: 0.0919 d4.dn_loss_bbox: 0.1798 d4.dn_loss_iou: 0.1985 d1.loss_lmm_region: 0.1649 loss_lmm_image: 0.8079 +2024/11/07 18:24:33 - mmengine - INFO - Iter(train) [ 49700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:00:07 time: 1.0285 data_time: 0.0184 memory: 23873 grad_norm: 22.9757 loss: 10.0469 loss_cls: 0.3121 loss_bbox: 0.1562 loss_iou: 0.2742 d0.loss_cls: 0.3519 d0.loss_bbox: 0.1744 d0.loss_iou: 0.2933 d1.loss_cls: 0.3277 d1.loss_bbox: 0.1591 d1.loss_iou: 0.2796 d2.loss_cls: 0.3208 d2.loss_bbox: 0.1556 d2.loss_iou: 0.2733 d3.loss_cls: 0.3222 d3.loss_bbox: 0.1538 d3.loss_iou: 0.2699 d4.loss_cls: 0.3139 d4.loss_bbox: 0.1560 d4.loss_iou: 0.2726 enc_loss_cls: 0.3661 enc_loss_bbox: 0.1914 enc_loss_iou: 0.3178 dn_loss_cls: 0.1123 dn_loss_bbox: 0.1840 dn_loss_iou: 0.2181 d0.dn_loss_cls: 0.1872 d0.dn_loss_bbox: 0.3406 d0.dn_loss_iou: 0.3676 d1.dn_loss_cls: 0.1334 d1.dn_loss_bbox: 0.2176 d1.dn_loss_iou: 0.2493 d2.dn_loss_cls: 0.1186 d2.dn_loss_bbox: 0.1907 d2.dn_loss_iou: 0.2247 d3.dn_loss_cls: 0.1128 d3.dn_loss_bbox: 0.1850 d3.dn_loss_iou: 0.2193 d4.dn_loss_cls: 0.1124 d4.dn_loss_bbox: 0.1839 d4.dn_loss_iou: 0.2180 d1.loss_lmm_region: 0.1850 loss_lmm_image: 0.8446 +2024/11/07 18:26:17 - mmengine - INFO - Iter(train) [ 49800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:58:21 time: 1.0357 data_time: 0.0183 memory: 23792 grad_norm: 22.1313 loss: 10.4285 loss_cls: 0.3170 loss_bbox: 0.1597 loss_iou: 0.2942 d0.loss_cls: 0.3547 d0.loss_bbox: 0.1797 d0.loss_iou: 0.3159 d1.loss_cls: 0.3388 d1.loss_bbox: 0.1642 d1.loss_iou: 0.2989 d2.loss_cls: 0.3243 d2.loss_bbox: 0.1626 d2.loss_iou: 0.2960 d3.loss_cls: 0.3213 d3.loss_bbox: 0.1600 d3.loss_iou: 0.2919 d4.loss_cls: 0.3190 d4.loss_bbox: 0.1594 d4.loss_iou: 0.2932 enc_loss_cls: 0.3784 enc_loss_bbox: 0.1900 enc_loss_iou: 0.3341 dn_loss_cls: 0.1119 dn_loss_bbox: 0.1817 dn_loss_iou: 0.2478 d0.dn_loss_cls: 0.1975 d0.dn_loss_bbox: 0.3321 d0.dn_loss_iou: 0.4088 d1.dn_loss_cls: 0.1440 d1.dn_loss_bbox: 0.2101 d1.dn_loss_iou: 0.2834 d2.dn_loss_cls: 0.1253 d2.dn_loss_bbox: 0.1895 d2.dn_loss_iou: 0.2568 d3.dn_loss_cls: 0.1185 d3.dn_loss_bbox: 0.1828 d3.dn_loss_iou: 0.2492 d4.dn_loss_cls: 0.1128 d4.dn_loss_bbox: 0.1818 d4.dn_loss_iou: 0.2478 d1.loss_lmm_region: 0.1671 loss_lmm_image: 0.8266 +2024/11/07 18:28:00 - mmengine - INFO - Iter(train) [ 49900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:56:35 time: 1.0290 data_time: 0.0185 memory: 23534 grad_norm: 19.2107 loss: 10.4032 loss_cls: 0.3637 loss_bbox: 0.1663 loss_iou: 0.2863 d0.loss_cls: 0.3859 d0.loss_bbox: 0.1875 d0.loss_iou: 0.3080 d1.loss_cls: 0.3732 d1.loss_bbox: 0.1715 d1.loss_iou: 0.2940 d2.loss_cls: 0.3679 d2.loss_bbox: 0.1667 d2.loss_iou: 0.2871 d3.loss_cls: 0.3648 d3.loss_bbox: 0.1680 d3.loss_iou: 0.2860 d4.loss_cls: 0.3634 d4.loss_bbox: 0.1666 d4.loss_iou: 0.2865 enc_loss_cls: 0.4053 enc_loss_bbox: 0.1965 enc_loss_iou: 0.3314 dn_loss_cls: 0.0894 dn_loss_bbox: 0.1656 dn_loss_iou: 0.2231 d0.dn_loss_cls: 0.1952 d0.dn_loss_bbox: 0.3325 d0.dn_loss_iou: 0.3762 d1.dn_loss_cls: 0.1318 d1.dn_loss_bbox: 0.2022 d1.dn_loss_iou: 0.2580 d2.dn_loss_cls: 0.1065 d2.dn_loss_bbox: 0.1741 d2.dn_loss_iou: 0.2319 d3.dn_loss_cls: 0.0948 d3.dn_loss_bbox: 0.1675 d3.dn_loss_iou: 0.2246 d4.dn_loss_cls: 0.0904 d4.dn_loss_bbox: 0.1655 d4.dn_loss_iou: 0.2231 d1.loss_lmm_region: 0.1751 loss_lmm_image: 0.8493 +2024/11/07 18:29:43 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/07 18:29:43 - mmengine - INFO - Iter(train) [ 50000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:54:48 time: 1.0264 data_time: 0.0187 memory: 23104 grad_norm: 22.2874 loss: 7.5875 loss_cls: 0.2415 loss_bbox: 0.1002 loss_iou: 0.2024 d0.loss_cls: 0.2653 d0.loss_bbox: 0.1100 d0.loss_iou: 0.2151 d1.loss_cls: 0.2532 d1.loss_bbox: 0.1031 d1.loss_iou: 0.2062 d2.loss_cls: 0.2515 d2.loss_bbox: 0.1011 d2.loss_iou: 0.2052 d3.loss_cls: 0.2463 d3.loss_bbox: 0.1011 d3.loss_iou: 0.2043 d4.loss_cls: 0.2438 d4.loss_bbox: 0.0993 d4.loss_iou: 0.2019 enc_loss_cls: 0.2850 enc_loss_bbox: 0.1217 enc_loss_iou: 0.2389 dn_loss_cls: 0.0733 dn_loss_bbox: 0.1144 dn_loss_iou: 0.1740 d0.dn_loss_cls: 0.1447 d0.dn_loss_bbox: 0.2605 d0.dn_loss_iou: 0.3139 d1.dn_loss_cls: 0.0952 d1.dn_loss_bbox: 0.1479 d1.dn_loss_iou: 0.2050 d2.dn_loss_cls: 0.0841 d2.dn_loss_bbox: 0.1271 d2.dn_loss_iou: 0.1826 d3.dn_loss_cls: 0.0768 d3.dn_loss_bbox: 0.1174 d3.dn_loss_iou: 0.1759 d4.dn_loss_cls: 0.0738 d4.dn_loss_bbox: 0.1143 d4.dn_loss_iou: 0.1740 d1.loss_lmm_region: 0.1360 loss_lmm_image: 0.7997 +2024/11/07 18:31:26 - mmengine - INFO - Iter(train) [ 50100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:53:03 time: 1.0293 data_time: 0.0184 memory: 24105 grad_norm: 24.2382 loss: 10.6692 loss_cls: 0.3526 loss_bbox: 0.1540 loss_iou: 0.3058 d0.loss_cls: 0.4131 d0.loss_bbox: 0.1666 d0.loss_iou: 0.3289 d1.loss_cls: 0.3825 d1.loss_bbox: 0.1609 d1.loss_iou: 0.3203 d2.loss_cls: 0.3668 d2.loss_bbox: 0.1556 d2.loss_iou: 0.3091 d3.loss_cls: 0.3633 d3.loss_bbox: 0.1529 d3.loss_iou: 0.3073 d4.loss_cls: 0.3595 d4.loss_bbox: 0.1525 d4.loss_iou: 0.3043 enc_loss_cls: 0.4240 enc_loss_bbox: 0.1884 enc_loss_iou: 0.3557 dn_loss_cls: 0.1115 dn_loss_bbox: 0.1685 dn_loss_iou: 0.2366 d0.dn_loss_cls: 0.2022 d0.dn_loss_bbox: 0.3387 d0.dn_loss_iou: 0.3985 d1.dn_loss_cls: 0.1406 d1.dn_loss_bbox: 0.2111 d1.dn_loss_iou: 0.2760 d2.dn_loss_cls: 0.1167 d2.dn_loss_bbox: 0.1801 d2.dn_loss_iou: 0.2465 d3.dn_loss_cls: 0.1102 d3.dn_loss_bbox: 0.1696 d3.dn_loss_iou: 0.2381 d4.dn_loss_cls: 0.1094 d4.dn_loss_bbox: 0.1685 d4.dn_loss_iou: 0.2364 d1.loss_lmm_region: 0.1643 loss_lmm_image: 0.8213 +2024/11/07 18:33:10 - mmengine - INFO - Iter(train) [ 50200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:51:19 time: 1.0354 data_time: 0.0184 memory: 25450 grad_norm: 21.7476 loss: 9.3200 loss_cls: 0.3046 loss_bbox: 0.1345 loss_iou: 0.2309 d0.loss_cls: 0.3354 d0.loss_bbox: 0.1504 d0.loss_iou: 0.2476 d1.loss_cls: 0.3265 d1.loss_bbox: 0.1385 d1.loss_iou: 0.2355 d2.loss_cls: 0.3177 d2.loss_bbox: 0.1322 d2.loss_iou: 0.2309 d3.loss_cls: 0.3108 d3.loss_bbox: 0.1309 d3.loss_iou: 0.2309 d4.loss_cls: 0.3052 d4.loss_bbox: 0.1338 d4.loss_iou: 0.2303 enc_loss_cls: 0.3548 enc_loss_bbox: 0.1634 enc_loss_iou: 0.2713 dn_loss_cls: 0.0895 dn_loss_bbox: 0.1735 dn_loss_iou: 0.2119 d0.dn_loss_cls: 0.1774 d0.dn_loss_bbox: 0.3211 d0.dn_loss_iou: 0.3597 d1.dn_loss_cls: 0.1160 d1.dn_loss_bbox: 0.2071 d1.dn_loss_iou: 0.2450 d2.dn_loss_cls: 0.1004 d2.dn_loss_bbox: 0.1796 d2.dn_loss_iou: 0.2181 d3.dn_loss_cls: 0.0939 d3.dn_loss_bbox: 0.1738 d3.dn_loss_iou: 0.2132 d4.dn_loss_cls: 0.0901 d4.dn_loss_bbox: 0.1735 d4.dn_loss_iou: 0.2121 d1.loss_lmm_region: 0.1780 loss_lmm_image: 0.8703 +2024/11/07 18:34:53 - mmengine - INFO - Iter(train) [ 50300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:49:32 time: 1.0403 data_time: 0.0186 memory: 25358 grad_norm: 22.5649 loss: 9.1109 loss_cls: 0.2792 loss_bbox: 0.1275 loss_iou: 0.2584 d0.loss_cls: 0.3140 d0.loss_bbox: 0.1434 d0.loss_iou: 0.2733 d1.loss_cls: 0.2963 d1.loss_bbox: 0.1301 d1.loss_iou: 0.2656 d2.loss_cls: 0.2962 d2.loss_bbox: 0.1220 d2.loss_iou: 0.2555 d3.loss_cls: 0.2875 d3.loss_bbox: 0.1261 d3.loss_iou: 0.2577 d4.loss_cls: 0.2806 d4.loss_bbox: 0.1272 d4.loss_iou: 0.2580 enc_loss_cls: 0.3287 enc_loss_bbox: 0.1534 enc_loss_iou: 0.2940 dn_loss_cls: 0.0861 dn_loss_bbox: 0.1510 dn_loss_iou: 0.2141 d0.dn_loss_cls: 0.1773 d0.dn_loss_bbox: 0.3113 d0.dn_loss_iou: 0.3690 d1.dn_loss_cls: 0.1174 d1.dn_loss_bbox: 0.1859 d1.dn_loss_iou: 0.2475 d2.dn_loss_cls: 0.1002 d2.dn_loss_bbox: 0.1602 d2.dn_loss_iou: 0.2232 d3.dn_loss_cls: 0.0921 d3.dn_loss_bbox: 0.1519 d3.dn_loss_iou: 0.2154 d4.dn_loss_cls: 0.0878 d4.dn_loss_bbox: 0.1510 d4.dn_loss_iou: 0.2141 d1.loss_lmm_region: 0.1564 loss_lmm_image: 0.8246 +2024/11/07 18:36:36 - mmengine - INFO - Iter(train) [ 50400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:47:46 time: 1.0206 data_time: 0.0184 memory: 23775 grad_norm: 21.6031 loss: 9.6104 loss_cls: 0.2850 loss_bbox: 0.1399 loss_iou: 0.2912 d0.loss_cls: 0.3169 d0.loss_bbox: 0.1541 d0.loss_iou: 0.3103 d1.loss_cls: 0.3022 d1.loss_bbox: 0.1400 d1.loss_iou: 0.2946 d2.loss_cls: 0.2915 d2.loss_bbox: 0.1405 d2.loss_iou: 0.2936 d3.loss_cls: 0.2912 d3.loss_bbox: 0.1386 d3.loss_iou: 0.2903 d4.loss_cls: 0.2847 d4.loss_bbox: 0.1402 d4.loss_iou: 0.2921 enc_loss_cls: 0.3299 enc_loss_bbox: 0.1654 enc_loss_iou: 0.3335 dn_loss_cls: 0.0860 dn_loss_bbox: 0.1681 dn_loss_iou: 0.2296 d0.dn_loss_cls: 0.1624 d0.dn_loss_bbox: 0.3127 d0.dn_loss_iou: 0.3721 d1.dn_loss_cls: 0.1136 d1.dn_loss_bbox: 0.1979 d1.dn_loss_iou: 0.2618 d2.dn_loss_cls: 0.0962 d2.dn_loss_bbox: 0.1773 d2.dn_loss_iou: 0.2386 d3.dn_loss_cls: 0.0886 d3.dn_loss_bbox: 0.1685 d3.dn_loss_iou: 0.2308 d4.dn_loss_cls: 0.0855 d4.dn_loss_bbox: 0.1679 d4.dn_loss_iou: 0.2295 d1.loss_lmm_region: 0.1628 loss_lmm_image: 0.8353 +2024/11/07 18:38:18 - mmengine - INFO - Iter(train) [ 50500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:45:58 time: 1.0186 data_time: 0.0186 memory: 23087 grad_norm: 24.5294 loss: 9.7002 loss_cls: 0.2711 loss_bbox: 0.1462 loss_iou: 0.2773 d0.loss_cls: 0.2943 d0.loss_bbox: 0.1642 d0.loss_iou: 0.2922 d1.loss_cls: 0.2876 d1.loss_bbox: 0.1461 d1.loss_iou: 0.2769 d2.loss_cls: 0.2779 d2.loss_bbox: 0.1479 d2.loss_iou: 0.2775 d3.loss_cls: 0.2774 d3.loss_bbox: 0.1431 d3.loss_iou: 0.2751 d4.loss_cls: 0.2716 d4.loss_bbox: 0.1471 d4.loss_iou: 0.2768 enc_loss_cls: 0.3137 enc_loss_bbox: 0.1732 enc_loss_iou: 0.3083 dn_loss_cls: 0.1039 dn_loss_bbox: 0.1805 dn_loss_iou: 0.2387 d0.dn_loss_cls: 0.1893 d0.dn_loss_bbox: 0.3409 d0.dn_loss_iou: 0.4001 d1.dn_loss_cls: 0.1332 d1.dn_loss_bbox: 0.2166 d1.dn_loss_iou: 0.2738 d2.dn_loss_cls: 0.1154 d2.dn_loss_bbox: 0.1900 d2.dn_loss_iou: 0.2470 d3.dn_loss_cls: 0.1077 d3.dn_loss_bbox: 0.1821 d3.dn_loss_iou: 0.2401 d4.dn_loss_cls: 0.1045 d4.dn_loss_bbox: 0.1805 d4.dn_loss_iou: 0.2387 d1.loss_lmm_region: 0.1411 loss_lmm_image: 0.8308 +2024/11/07 18:40:02 - mmengine - INFO - Iter(train) [ 50600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:44:13 time: 1.0236 data_time: 0.0185 memory: 23259 grad_norm: 25.3230 loss: 10.1542 loss_cls: 0.3112 loss_bbox: 0.1555 loss_iou: 0.2692 d0.loss_cls: 0.3496 d0.loss_bbox: 0.1677 d0.loss_iou: 0.2903 d1.loss_cls: 0.3330 d1.loss_bbox: 0.1599 d1.loss_iou: 0.2793 d2.loss_cls: 0.3246 d2.loss_bbox: 0.1560 d2.loss_iou: 0.2702 d3.loss_cls: 0.3153 d3.loss_bbox: 0.1550 d3.loss_iou: 0.2700 d4.loss_cls: 0.3112 d4.loss_bbox: 0.1561 d4.loss_iou: 0.2694 enc_loss_cls: 0.3746 enc_loss_bbox: 0.1758 enc_loss_iou: 0.3079 dn_loss_cls: 0.1009 dn_loss_bbox: 0.1821 dn_loss_iou: 0.2441 d0.dn_loss_cls: 0.1912 d0.dn_loss_bbox: 0.3527 d0.dn_loss_iou: 0.4107 d1.dn_loss_cls: 0.1306 d1.dn_loss_bbox: 0.2246 d1.dn_loss_iou: 0.2837 d2.dn_loss_cls: 0.1127 d2.dn_loss_bbox: 0.1919 d2.dn_loss_iou: 0.2546 d3.dn_loss_cls: 0.1030 d3.dn_loss_bbox: 0.1834 d3.dn_loss_iou: 0.2459 d4.dn_loss_cls: 0.1002 d4.dn_loss_bbox: 0.1820 d4.dn_loss_iou: 0.2441 d1.loss_lmm_region: 0.1669 loss_lmm_image: 0.8470 +2024/11/07 18:41:46 - mmengine - INFO - Iter(train) [ 50700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:42:29 time: 1.0471 data_time: 0.0186 memory: 23807 grad_norm: 20.7104 loss: 9.6958 loss_cls: 0.3061 loss_bbox: 0.1523 loss_iou: 0.2846 d0.loss_cls: 0.3447 d0.loss_bbox: 0.1697 d0.loss_iou: 0.3042 d1.loss_cls: 0.3244 d1.loss_bbox: 0.1594 d1.loss_iou: 0.2896 d2.loss_cls: 0.3209 d2.loss_bbox: 0.1512 d2.loss_iou: 0.2845 d3.loss_cls: 0.3102 d3.loss_bbox: 0.1513 d3.loss_iou: 0.2849 d4.loss_cls: 0.3077 d4.loss_bbox: 0.1520 d4.loss_iou: 0.2847 enc_loss_cls: 0.3560 enc_loss_bbox: 0.1793 enc_loss_iou: 0.3252 dn_loss_cls: 0.0750 dn_loss_bbox: 0.1556 dn_loss_iou: 0.2216 d0.dn_loss_cls: 0.1607 d0.dn_loss_bbox: 0.2942 d0.dn_loss_iou: 0.3631 d1.dn_loss_cls: 0.1056 d1.dn_loss_bbox: 0.1909 d1.dn_loss_iou: 0.2561 d2.dn_loss_cls: 0.0893 d2.dn_loss_bbox: 0.1671 d2.dn_loss_iou: 0.2305 d3.dn_loss_cls: 0.0799 d3.dn_loss_bbox: 0.1579 d3.dn_loss_iou: 0.2229 d4.dn_loss_cls: 0.0751 d4.dn_loss_bbox: 0.1557 d4.dn_loss_iou: 0.2216 d1.loss_lmm_region: 0.1596 loss_lmm_image: 0.8704 +2024/11/07 18:43:29 - mmengine - INFO - Iter(train) [ 50800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:40:43 time: 1.0276 data_time: 0.0183 memory: 24182 grad_norm: 21.0917 loss: 9.4778 loss_cls: 0.3196 loss_bbox: 0.1447 loss_iou: 0.2434 d0.loss_cls: 0.3468 d0.loss_bbox: 0.1690 d0.loss_iou: 0.2701 d1.loss_cls: 0.3349 d1.loss_bbox: 0.1527 d1.loss_iou: 0.2507 d2.loss_cls: 0.3332 d2.loss_bbox: 0.1437 d2.loss_iou: 0.2426 d3.loss_cls: 0.3240 d3.loss_bbox: 0.1450 d3.loss_iou: 0.2448 d4.loss_cls: 0.3216 d4.loss_bbox: 0.1437 d4.loss_iou: 0.2431 enc_loss_cls: 0.3605 enc_loss_bbox: 0.1828 enc_loss_iou: 0.2935 dn_loss_cls: 0.0866 dn_loss_bbox: 0.1715 dn_loss_iou: 0.2026 d0.dn_loss_cls: 0.1702 d0.dn_loss_bbox: 0.3257 d0.dn_loss_iou: 0.3503 d1.dn_loss_cls: 0.1218 d1.dn_loss_bbox: 0.2082 d1.dn_loss_iou: 0.2379 d2.dn_loss_cls: 0.1037 d2.dn_loss_bbox: 0.1799 d2.dn_loss_iou: 0.2119 d3.dn_loss_cls: 0.0925 d3.dn_loss_bbox: 0.1729 d3.dn_loss_iou: 0.2047 d4.dn_loss_cls: 0.0874 d4.dn_loss_bbox: 0.1714 d4.dn_loss_iou: 0.2027 d1.loss_lmm_region: 0.1435 loss_lmm_image: 0.8220 +2024/11/07 18:45:13 - mmengine - INFO - Iter(train) [ 50900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:38:58 time: 1.0443 data_time: 0.0185 memory: 23514 grad_norm: 21.2857 loss: 9.5762 loss_cls: 0.2744 loss_bbox: 0.1391 loss_iou: 0.2573 d0.loss_cls: 0.3057 d0.loss_bbox: 0.1568 d0.loss_iou: 0.2713 d1.loss_cls: 0.2914 d1.loss_bbox: 0.1460 d1.loss_iou: 0.2663 d2.loss_cls: 0.2840 d2.loss_bbox: 0.1404 d2.loss_iou: 0.2572 d3.loss_cls: 0.2813 d3.loss_bbox: 0.1377 d3.loss_iou: 0.2561 d4.loss_cls: 0.2775 d4.loss_bbox: 0.1371 d4.loss_iou: 0.2554 enc_loss_cls: 0.3213 enc_loss_bbox: 0.1695 enc_loss_iou: 0.2948 dn_loss_cls: 0.0891 dn_loss_bbox: 0.2019 dn_loss_iou: 0.2394 d0.dn_loss_cls: 0.1709 d0.dn_loss_bbox: 0.3661 d0.dn_loss_iou: 0.3939 d1.dn_loss_cls: 0.1186 d1.dn_loss_bbox: 0.2380 d1.dn_loss_iou: 0.2746 d2.dn_loss_cls: 0.1018 d2.dn_loss_bbox: 0.2112 d2.dn_loss_iou: 0.2488 d3.dn_loss_cls: 0.0942 d3.dn_loss_bbox: 0.2032 d3.dn_loss_iou: 0.2412 d4.dn_loss_cls: 0.0877 d4.dn_loss_bbox: 0.2019 d4.dn_loss_iou: 0.2395 d1.loss_lmm_region: 0.1340 loss_lmm_image: 0.7997 +2024/11/07 18:46:56 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/07 18:46:56 - mmengine - INFO - Iter(train) [ 51000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:37:14 time: 1.0380 data_time: 0.0185 memory: 23946 grad_norm: 20.9101 loss: 8.7286 loss_cls: 0.2769 loss_bbox: 0.1209 loss_iou: 0.2293 d0.loss_cls: 0.3104 d0.loss_bbox: 0.1323 d0.loss_iou: 0.2483 d1.loss_cls: 0.2943 d1.loss_bbox: 0.1233 d1.loss_iou: 0.2350 d2.loss_cls: 0.2813 d2.loss_bbox: 0.1231 d2.loss_iou: 0.2310 d3.loss_cls: 0.2816 d3.loss_bbox: 0.1204 d3.loss_iou: 0.2287 d4.loss_cls: 0.2782 d4.loss_bbox: 0.1201 d4.loss_iou: 0.2295 enc_loss_cls: 0.3315 enc_loss_bbox: 0.1470 enc_loss_iou: 0.2684 dn_loss_cls: 0.0913 dn_loss_bbox: 0.1414 dn_loss_iou: 0.2009 d0.dn_loss_cls: 0.1677 d0.dn_loss_bbox: 0.2942 d0.dn_loss_iou: 0.3540 d1.dn_loss_cls: 0.1165 d1.dn_loss_bbox: 0.1766 d1.dn_loss_iou: 0.2363 d2.dn_loss_cls: 0.1007 d2.dn_loss_bbox: 0.1481 d2.dn_loss_iou: 0.2083 d3.dn_loss_cls: 0.0936 d3.dn_loss_bbox: 0.1427 d3.dn_loss_iou: 0.2021 d4.dn_loss_cls: 0.0926 d4.dn_loss_bbox: 0.1415 d4.dn_loss_iou: 0.2008 d1.loss_lmm_region: 0.1546 loss_lmm_image: 0.8535 +2024/11/07 18:48:40 - mmengine - INFO - Iter(train) [ 51100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:35:28 time: 1.0334 data_time: 0.0184 memory: 23033 grad_norm: 19.3994 loss: 10.3263 loss_cls: 0.2912 loss_bbox: 0.1728 loss_iou: 0.3229 d0.loss_cls: 0.3380 d0.loss_bbox: 0.1798 d0.loss_iou: 0.3427 d1.loss_cls: 0.3190 d1.loss_bbox: 0.1676 d1.loss_iou: 0.3250 d2.loss_cls: 0.3101 d2.loss_bbox: 0.1667 d2.loss_iou: 0.3207 d3.loss_cls: 0.3005 d3.loss_bbox: 0.1677 d3.loss_iou: 0.3207 d4.loss_cls: 0.2920 d4.loss_bbox: 0.1734 d4.loss_iou: 0.3232 enc_loss_cls: 0.3529 enc_loss_bbox: 0.1973 enc_loss_iou: 0.3652 dn_loss_cls: 0.0842 dn_loss_bbox: 0.1771 dn_loss_iou: 0.2587 d0.dn_loss_cls: 0.1703 d0.dn_loss_bbox: 0.3253 d0.dn_loss_iou: 0.4162 d1.dn_loss_cls: 0.1120 d1.dn_loss_bbox: 0.2133 d1.dn_loss_iou: 0.2969 d2.dn_loss_cls: 0.0949 d2.dn_loss_bbox: 0.1880 d2.dn_loss_iou: 0.2688 d3.dn_loss_cls: 0.0878 d3.dn_loss_bbox: 0.1790 d3.dn_loss_iou: 0.2605 d4.dn_loss_cls: 0.0856 d4.dn_loss_bbox: 0.1771 d4.dn_loss_iou: 0.2583 d1.loss_lmm_region: 0.1493 loss_lmm_image: 0.7733 +2024/11/07 18:50:23 - mmengine - INFO - Iter(train) [ 51200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:33:42 time: 1.0125 data_time: 0.0185 memory: 23112 grad_norm: 22.9850 loss: 10.0786 loss_cls: 0.2984 loss_bbox: 0.1698 loss_iou: 0.2910 d0.loss_cls: 0.3412 d0.loss_bbox: 0.1788 d0.loss_iou: 0.3061 d1.loss_cls: 0.3220 d1.loss_bbox: 0.1674 d1.loss_iou: 0.2925 d2.loss_cls: 0.3104 d2.loss_bbox: 0.1676 d2.loss_iou: 0.2871 d3.loss_cls: 0.3022 d3.loss_bbox: 0.1670 d3.loss_iou: 0.2903 d4.loss_cls: 0.2975 d4.loss_bbox: 0.1694 d4.loss_iou: 0.2900 enc_loss_cls: 0.3535 enc_loss_bbox: 0.1899 enc_loss_iou: 0.3262 dn_loss_cls: 0.0899 dn_loss_bbox: 0.1733 dn_loss_iou: 0.2396 d0.dn_loss_cls: 0.1703 d0.dn_loss_bbox: 0.3062 d0.dn_loss_iou: 0.3838 d1.dn_loss_cls: 0.1206 d1.dn_loss_bbox: 0.2007 d1.dn_loss_iou: 0.2686 d2.dn_loss_cls: 0.1048 d2.dn_loss_bbox: 0.1795 d2.dn_loss_iou: 0.2459 d3.dn_loss_cls: 0.0984 d3.dn_loss_bbox: 0.1741 d3.dn_loss_iou: 0.2404 d4.dn_loss_cls: 0.0908 d4.dn_loss_bbox: 0.1732 d4.dn_loss_iou: 0.2395 d1.loss_lmm_region: 0.2053 loss_lmm_image: 0.8554 +2024/11/07 18:52:06 - mmengine - INFO - Iter(train) [ 51300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:31:56 time: 1.0180 data_time: 0.0188 memory: 24853 grad_norm: 26.5744 loss: 8.8215 loss_cls: 0.2500 loss_bbox: 0.1237 loss_iou: 0.2119 d0.loss_cls: 0.2900 d0.loss_bbox: 0.1369 d0.loss_iou: 0.2261 d1.loss_cls: 0.2691 d1.loss_bbox: 0.1296 d1.loss_iou: 0.2176 d2.loss_cls: 0.2596 d2.loss_bbox: 0.1253 d2.loss_iou: 0.2117 d3.loss_cls: 0.2587 d3.loss_bbox: 0.1243 d3.loss_iou: 0.2113 d4.loss_cls: 0.2521 d4.loss_bbox: 0.1238 d4.loss_iou: 0.2113 enc_loss_cls: 0.3084 enc_loss_bbox: 0.1495 enc_loss_iou: 0.2441 dn_loss_cls: 0.0908 dn_loss_bbox: 0.1866 dn_loss_iou: 0.2156 d0.dn_loss_cls: 0.1735 d0.dn_loss_bbox: 0.3543 d0.dn_loss_iou: 0.3597 d1.dn_loss_cls: 0.1181 d1.dn_loss_bbox: 0.2297 d1.dn_loss_iou: 0.2495 d2.dn_loss_cls: 0.0996 d2.dn_loss_bbox: 0.2011 d2.dn_loss_iou: 0.2257 d3.dn_loss_cls: 0.0935 d3.dn_loss_bbox: 0.1899 d3.dn_loss_iou: 0.2182 d4.dn_loss_cls: 0.0907 d4.dn_loss_bbox: 0.1866 d4.dn_loss_iou: 0.2155 d1.loss_lmm_region: 0.1716 loss_lmm_image: 0.8164 +2024/11/07 18:53:50 - mmengine - INFO - Iter(train) [ 51400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:30:12 time: 1.0415 data_time: 0.0186 memory: 23832 grad_norm: 20.4488 loss: 10.6596 loss_cls: 0.3451 loss_bbox: 0.1716 loss_iou: 0.3169 d0.loss_cls: 0.3857 d0.loss_bbox: 0.1856 d0.loss_iou: 0.3296 d1.loss_cls: 0.3663 d1.loss_bbox: 0.1737 d1.loss_iou: 0.3198 d2.loss_cls: 0.3555 d2.loss_bbox: 0.1713 d2.loss_iou: 0.3173 d3.loss_cls: 0.3517 d3.loss_bbox: 0.1703 d3.loss_iou: 0.3148 d4.loss_cls: 0.3473 d4.loss_bbox: 0.1709 d4.loss_iou: 0.3163 enc_loss_cls: 0.4070 enc_loss_bbox: 0.1979 enc_loss_iou: 0.3501 dn_loss_cls: 0.0995 dn_loss_bbox: 0.1808 dn_loss_iou: 0.2327 d0.dn_loss_cls: 0.1936 d0.dn_loss_bbox: 0.3441 d0.dn_loss_iou: 0.3790 d1.dn_loss_cls: 0.1362 d1.dn_loss_bbox: 0.2134 d1.dn_loss_iou: 0.2629 d2.dn_loss_cls: 0.1177 d2.dn_loss_bbox: 0.1844 d2.dn_loss_iou: 0.2392 d3.dn_loss_cls: 0.1085 d3.dn_loss_bbox: 0.1804 d3.dn_loss_iou: 0.2332 d4.dn_loss_cls: 0.1011 d4.dn_loss_bbox: 0.1807 d4.dn_loss_iou: 0.2326 d1.loss_lmm_region: 0.1500 loss_lmm_image: 0.8249 +2024/11/07 18:55:33 - mmengine - INFO - Iter(train) [ 51500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:28:25 time: 1.0237 data_time: 0.0186 memory: 23489 grad_norm: 21.3469 loss: 8.6775 loss_cls: 0.2508 loss_bbox: 0.1124 loss_iou: 0.2197 d0.loss_cls: 0.2807 d0.loss_bbox: 0.1277 d0.loss_iou: 0.2382 d1.loss_cls: 0.2668 d1.loss_bbox: 0.1164 d1.loss_iou: 0.2275 d2.loss_cls: 0.2659 d2.loss_bbox: 0.1102 d2.loss_iou: 0.2171 d3.loss_cls: 0.2577 d3.loss_bbox: 0.1132 d3.loss_iou: 0.2199 d4.loss_cls: 0.2544 d4.loss_bbox: 0.1114 d4.loss_iou: 0.2185 enc_loss_cls: 0.2956 enc_loss_bbox: 0.1386 enc_loss_iou: 0.2592 dn_loss_cls: 0.1034 dn_loss_bbox: 0.1576 dn_loss_iou: 0.2209 d0.dn_loss_cls: 0.2030 d0.dn_loss_bbox: 0.3023 d0.dn_loss_iou: 0.3755 d1.dn_loss_cls: 0.1402 d1.dn_loss_bbox: 0.1897 d1.dn_loss_iou: 0.2566 d2.dn_loss_cls: 0.1206 d2.dn_loss_bbox: 0.1646 d2.dn_loss_iou: 0.2293 d3.dn_loss_cls: 0.1135 d3.dn_loss_bbox: 0.1588 d3.dn_loss_iou: 0.2223 d4.dn_loss_cls: 0.1045 d4.dn_loss_bbox: 0.1577 d4.dn_loss_iou: 0.2208 d1.loss_lmm_region: 0.1428 loss_lmm_image: 0.7916 +2024/11/07 18:57:16 - mmengine - INFO - Iter(train) [ 51600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:26:41 time: 1.0466 data_time: 0.0185 memory: 22997 grad_norm: 23.5787 loss: 9.8153 loss_cls: 0.3116 loss_bbox: 0.1625 loss_iou: 0.2800 d0.loss_cls: 0.3545 d0.loss_bbox: 0.1742 d0.loss_iou: 0.2975 d1.loss_cls: 0.3344 d1.loss_bbox: 0.1636 d1.loss_iou: 0.2845 d2.loss_cls: 0.3289 d2.loss_bbox: 0.1610 d2.loss_iou: 0.2796 d3.loss_cls: 0.3196 d3.loss_bbox: 0.1619 d3.loss_iou: 0.2804 d4.loss_cls: 0.3137 d4.loss_bbox: 0.1629 d4.loss_iou: 0.2803 enc_loss_cls: 0.3715 enc_loss_bbox: 0.1877 enc_loss_iou: 0.3186 dn_loss_cls: 0.1003 dn_loss_bbox: 0.1612 dn_loss_iou: 0.2144 d0.dn_loss_cls: 0.1728 d0.dn_loss_bbox: 0.2923 d0.dn_loss_iou: 0.3491 d1.dn_loss_cls: 0.1245 d1.dn_loss_bbox: 0.1926 d1.dn_loss_iou: 0.2429 d2.dn_loss_cls: 0.1107 d2.dn_loss_bbox: 0.1684 d2.dn_loss_iou: 0.2217 d3.dn_loss_cls: 0.1031 d3.dn_loss_bbox: 0.1624 d3.dn_loss_iou: 0.2157 d4.dn_loss_cls: 0.1002 d4.dn_loss_bbox: 0.1611 d4.dn_loss_iou: 0.2144 d1.loss_lmm_region: 0.1586 loss_lmm_image: 0.8200 +2024/11/07 18:59:00 - mmengine - INFO - Iter(train) [ 51700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:24:55 time: 1.0254 data_time: 0.0185 memory: 24472 grad_norm: 20.6361 loss: 10.3244 loss_cls: 0.3249 loss_bbox: 0.1551 loss_iou: 0.2999 d0.loss_cls: 0.3535 d0.loss_bbox: 0.1716 d0.loss_iou: 0.3132 d1.loss_cls: 0.3411 d1.loss_bbox: 0.1590 d1.loss_iou: 0.3020 d2.loss_cls: 0.3384 d2.loss_bbox: 0.1512 d2.loss_iou: 0.2957 d3.loss_cls: 0.3358 d3.loss_bbox: 0.1540 d3.loss_iou: 0.2966 d4.loss_cls: 0.3262 d4.loss_bbox: 0.1549 d4.loss_iou: 0.3005 enc_loss_cls: 0.3712 enc_loss_bbox: 0.1864 enc_loss_iou: 0.3360 dn_loss_cls: 0.1130 dn_loss_bbox: 0.1767 dn_loss_iou: 0.2390 d0.dn_loss_cls: 0.2026 d0.dn_loss_bbox: 0.3239 d0.dn_loss_iou: 0.3943 d1.dn_loss_cls: 0.1448 d1.dn_loss_bbox: 0.2075 d1.dn_loss_iou: 0.2731 d2.dn_loss_cls: 0.1276 d2.dn_loss_bbox: 0.1826 d2.dn_loss_iou: 0.2460 d3.dn_loss_cls: 0.1170 d3.dn_loss_bbox: 0.1768 d3.dn_loss_iou: 0.2403 d4.dn_loss_cls: 0.1147 d4.dn_loss_bbox: 0.1767 d4.dn_loss_iou: 0.2391 d1.loss_lmm_region: 0.1481 loss_lmm_image: 0.8137 +2024/11/07 19:00:44 - mmengine - INFO - Iter(train) [ 51800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:23:12 time: 1.0492 data_time: 0.0186 memory: 23249 grad_norm: 20.5659 loss: 10.3613 loss_cls: 0.3097 loss_bbox: 0.1722 loss_iou: 0.2842 d0.loss_cls: 0.3488 d0.loss_bbox: 0.1774 d0.loss_iou: 0.2972 d1.loss_cls: 0.3332 d1.loss_bbox: 0.1700 d1.loss_iou: 0.2849 d2.loss_cls: 0.3255 d2.loss_bbox: 0.1690 d2.loss_iou: 0.2832 d3.loss_cls: 0.3176 d3.loss_bbox: 0.1678 d3.loss_iou: 0.2819 d4.loss_cls: 0.3106 d4.loss_bbox: 0.1716 d4.loss_iou: 0.2842 enc_loss_cls: 0.3659 enc_loss_bbox: 0.1961 enc_loss_iou: 0.3190 dn_loss_cls: 0.1000 dn_loss_bbox: 0.1932 dn_loss_iou: 0.2412 d0.dn_loss_cls: 0.2063 d0.dn_loss_bbox: 0.3633 d0.dn_loss_iou: 0.3953 d1.dn_loss_cls: 0.1418 d1.dn_loss_bbox: 0.2334 d1.dn_loss_iou: 0.2755 d2.dn_loss_cls: 0.1183 d2.dn_loss_bbox: 0.2015 d2.dn_loss_iou: 0.2495 d3.dn_loss_cls: 0.1057 d3.dn_loss_bbox: 0.1940 d3.dn_loss_iou: 0.2419 d4.dn_loss_cls: 0.1010 d4.dn_loss_bbox: 0.1933 d4.dn_loss_iou: 0.2413 d1.loss_lmm_region: 0.1614 loss_lmm_image: 0.8337 +2024/11/07 19:02:26 - mmengine - INFO - Iter(train) [ 51900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:21:24 time: 1.0209 data_time: 0.0185 memory: 23235 grad_norm: 25.7901 loss: 7.9991 loss_cls: 0.2357 loss_bbox: 0.1049 loss_iou: 0.1782 d0.loss_cls: 0.2689 d0.loss_bbox: 0.1225 d0.loss_iou: 0.1950 d1.loss_cls: 0.2556 d1.loss_bbox: 0.1051 d1.loss_iou: 0.1799 d2.loss_cls: 0.2503 d2.loss_bbox: 0.1028 d2.loss_iou: 0.1767 d3.loss_cls: 0.2450 d3.loss_bbox: 0.1036 d3.loss_iou: 0.1775 d4.loss_cls: 0.2375 d4.loss_bbox: 0.1043 d4.loss_iou: 0.1772 enc_loss_cls: 0.2855 enc_loss_bbox: 0.1423 enc_loss_iou: 0.2212 dn_loss_cls: 0.1002 dn_loss_bbox: 0.1524 dn_loss_iou: 0.1908 d0.dn_loss_cls: 0.1697 d0.dn_loss_bbox: 0.3127 d0.dn_loss_iou: 0.3363 d1.dn_loss_cls: 0.1215 d1.dn_loss_bbox: 0.1870 d1.dn_loss_iou: 0.2218 d2.dn_loss_cls: 0.1093 d2.dn_loss_bbox: 0.1598 d2.dn_loss_iou: 0.1981 d3.dn_loss_cls: 0.1034 d3.dn_loss_bbox: 0.1533 d3.dn_loss_iou: 0.1920 d4.dn_loss_cls: 0.0990 d4.dn_loss_bbox: 0.1523 d4.dn_loss_iou: 0.1909 d1.loss_lmm_region: 0.1404 loss_lmm_image: 0.8386 +2024/11/07 19:04:10 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/07 19:04:10 - mmengine - INFO - Iter(train) [ 52000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:19:39 time: 1.0229 data_time: 0.0185 memory: 24289 grad_norm: 27.5252 loss: 9.7215 loss_cls: 0.2911 loss_bbox: 0.1552 loss_iou: 0.2602 d0.loss_cls: 0.3262 d0.loss_bbox: 0.1695 d0.loss_iou: 0.2761 d1.loss_cls: 0.3114 d1.loss_bbox: 0.1583 d1.loss_iou: 0.2647 d2.loss_cls: 0.3059 d2.loss_bbox: 0.1548 d2.loss_iou: 0.2576 d3.loss_cls: 0.2925 d3.loss_bbox: 0.1568 d3.loss_iou: 0.2601 d4.loss_cls: 0.2941 d4.loss_bbox: 0.1542 d4.loss_iou: 0.2584 enc_loss_cls: 0.3459 enc_loss_bbox: 0.1868 enc_loss_iou: 0.2942 dn_loss_cls: 0.0927 dn_loss_bbox: 0.1828 dn_loss_iou: 0.2267 d0.dn_loss_cls: 0.1849 d0.dn_loss_bbox: 0.3365 d0.dn_loss_iou: 0.3807 d1.dn_loss_cls: 0.1268 d1.dn_loss_bbox: 0.2180 d1.dn_loss_iou: 0.2606 d2.dn_loss_cls: 0.1083 d2.dn_loss_bbox: 0.1920 d2.dn_loss_iou: 0.2345 d3.dn_loss_cls: 0.0997 d3.dn_loss_bbox: 0.1838 d3.dn_loss_iou: 0.2276 d4.dn_loss_cls: 0.0939 d4.dn_loss_bbox: 0.1828 d4.dn_loss_iou: 0.2264 d1.loss_lmm_region: 0.1656 loss_lmm_image: 0.8232 +2024/11/07 19:05:53 - mmengine - INFO - Iter(train) [ 52100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:17:52 time: 1.0289 data_time: 0.0185 memory: 23002 grad_norm: 21.0130 loss: 10.0956 loss_cls: 0.2919 loss_bbox: 0.1698 loss_iou: 0.2784 d0.loss_cls: 0.3286 d0.loss_bbox: 0.1839 d0.loss_iou: 0.2971 d1.loss_cls: 0.3096 d1.loss_bbox: 0.1749 d1.loss_iou: 0.2867 d2.loss_cls: 0.3020 d2.loss_bbox: 0.1690 d2.loss_iou: 0.2821 d3.loss_cls: 0.2960 d3.loss_bbox: 0.1680 d3.loss_iou: 0.2796 d4.loss_cls: 0.2936 d4.loss_bbox: 0.1691 d4.loss_iou: 0.2769 enc_loss_cls: 0.3363 enc_loss_bbox: 0.2015 enc_loss_iou: 0.3236 dn_loss_cls: 0.0913 dn_loss_bbox: 0.1944 dn_loss_iou: 0.2422 d0.dn_loss_cls: 0.1664 d0.dn_loss_bbox: 0.3482 d0.dn_loss_iou: 0.3953 d1.dn_loss_cls: 0.1202 d1.dn_loss_bbox: 0.2265 d1.dn_loss_iou: 0.2774 d2.dn_loss_cls: 0.1088 d2.dn_loss_bbox: 0.2020 d2.dn_loss_iou: 0.2511 d3.dn_loss_cls: 0.0975 d3.dn_loss_bbox: 0.1956 d3.dn_loss_iou: 0.2432 d4.dn_loss_cls: 0.0905 d4.dn_loss_bbox: 0.1943 d4.dn_loss_iou: 0.2421 d1.loss_lmm_region: 0.1527 loss_lmm_image: 0.8373 +2024/11/07 19:07:35 - mmengine - INFO - Iter(train) [ 52200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:16:06 time: 1.0204 data_time: 0.0185 memory: 23413 grad_norm: 19.9847 loss: 8.8346 loss_cls: 0.2808 loss_bbox: 0.1143 loss_iou: 0.2409 d0.loss_cls: 0.3150 d0.loss_bbox: 0.1282 d0.loss_iou: 0.2568 d1.loss_cls: 0.2985 d1.loss_bbox: 0.1206 d1.loss_iou: 0.2506 d2.loss_cls: 0.2943 d2.loss_bbox: 0.1162 d2.loss_iou: 0.2444 d3.loss_cls: 0.2850 d3.loss_bbox: 0.1147 d3.loss_iou: 0.2411 d4.loss_cls: 0.2822 d4.loss_bbox: 0.1144 d4.loss_iou: 0.2410 enc_loss_cls: 0.3242 enc_loss_bbox: 0.1488 enc_loss_iou: 0.2833 dn_loss_cls: 0.1040 dn_loss_bbox: 0.1437 dn_loss_iou: 0.1974 d0.dn_loss_cls: 0.1672 d0.dn_loss_bbox: 0.2857 d0.dn_loss_iou: 0.3366 d1.dn_loss_cls: 0.1234 d1.dn_loss_bbox: 0.1764 d1.dn_loss_iou: 0.2298 d2.dn_loss_cls: 0.1138 d2.dn_loss_bbox: 0.1535 d2.dn_loss_iou: 0.2061 d3.dn_loss_cls: 0.1066 d3.dn_loss_bbox: 0.1441 d3.dn_loss_iou: 0.1990 d4.dn_loss_cls: 0.1048 d4.dn_loss_bbox: 0.1435 d4.dn_loss_iou: 0.1975 d1.loss_lmm_region: 0.1376 loss_lmm_image: 0.8685 +2024/11/07 19:09:18 - mmengine - INFO - Iter(train) [ 52300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:14:20 time: 1.0316 data_time: 0.0184 memory: 24862 grad_norm: 22.9610 loss: 9.0486 loss_cls: 0.2882 loss_bbox: 0.1274 loss_iou: 0.2491 d0.loss_cls: 0.3243 d0.loss_bbox: 0.1410 d0.loss_iou: 0.2732 d1.loss_cls: 0.3078 d1.loss_bbox: 0.1312 d1.loss_iou: 0.2561 d2.loss_cls: 0.3003 d2.loss_bbox: 0.1275 d2.loss_iou: 0.2521 d3.loss_cls: 0.2929 d3.loss_bbox: 0.1280 d3.loss_iou: 0.2490 d4.loss_cls: 0.2895 d4.loss_bbox: 0.1283 d4.loss_iou: 0.2493 enc_loss_cls: 0.3336 enc_loss_bbox: 0.1499 enc_loss_iou: 0.2900 dn_loss_cls: 0.0818 dn_loss_bbox: 0.1561 dn_loss_iou: 0.2116 d0.dn_loss_cls: 0.1643 d0.dn_loss_bbox: 0.2880 d0.dn_loss_iou: 0.3567 d1.dn_loss_cls: 0.1102 d1.dn_loss_bbox: 0.1846 d1.dn_loss_iou: 0.2433 d2.dn_loss_cls: 0.0941 d2.dn_loss_bbox: 0.1656 d2.dn_loss_iou: 0.2213 d3.dn_loss_cls: 0.0874 d3.dn_loss_bbox: 0.1571 d3.dn_loss_iou: 0.2132 d4.dn_loss_cls: 0.0823 d4.dn_loss_bbox: 0.1563 d4.dn_loss_iou: 0.2118 d1.loss_lmm_region: 0.1495 loss_lmm_image: 0.8245 +2024/11/07 19:11:02 - mmengine - INFO - Iter(train) [ 52400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:12:35 time: 1.0294 data_time: 0.0186 memory: 23523 grad_norm: 21.6162 loss: 9.3925 loss_cls: 0.3159 loss_bbox: 0.1264 loss_iou: 0.2323 d0.loss_cls: 0.3387 d0.loss_bbox: 0.1478 d0.loss_iou: 0.2538 d1.loss_cls: 0.3286 d1.loss_bbox: 0.1327 d1.loss_iou: 0.2407 d2.loss_cls: 0.3204 d2.loss_bbox: 0.1287 d2.loss_iou: 0.2347 d3.loss_cls: 0.3214 d3.loss_bbox: 0.1245 d3.loss_iou: 0.2304 d4.loss_cls: 0.3179 d4.loss_bbox: 0.1260 d4.loss_iou: 0.2312 enc_loss_cls: 0.3567 enc_loss_bbox: 0.1555 enc_loss_iou: 0.2731 dn_loss_cls: 0.0983 dn_loss_bbox: 0.1633 dn_loss_iou: 0.2183 d0.dn_loss_cls: 0.1860 d0.dn_loss_bbox: 0.3253 d0.dn_loss_iou: 0.3685 d1.dn_loss_cls: 0.1275 d1.dn_loss_bbox: 0.1976 d1.dn_loss_iou: 0.2501 d2.dn_loss_cls: 0.1135 d2.dn_loss_bbox: 0.1734 d2.dn_loss_iou: 0.2267 d3.dn_loss_cls: 0.1045 d3.dn_loss_bbox: 0.1652 d3.dn_loss_iou: 0.2199 d4.dn_loss_cls: 0.0998 d4.dn_loss_bbox: 0.1634 d4.dn_loss_iou: 0.2185 d1.loss_lmm_region: 0.1628 loss_lmm_image: 0.8724 +2024/11/07 19:12:45 - mmengine - INFO - Iter(train) [ 52500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:10:48 time: 1.0380 data_time: 0.0185 memory: 23218 grad_norm: 21.6341 loss: 10.7770 loss_cls: 0.3364 loss_bbox: 0.1807 loss_iou: 0.3661 d0.loss_cls: 0.3769 d0.loss_bbox: 0.1917 d0.loss_iou: 0.3855 d1.loss_cls: 0.3615 d1.loss_bbox: 0.1782 d1.loss_iou: 0.3671 d2.loss_cls: 0.3504 d2.loss_bbox: 0.1783 d2.loss_iou: 0.3639 d3.loss_cls: 0.3435 d3.loss_bbox: 0.1801 d3.loss_iou: 0.3657 d4.loss_cls: 0.3382 d4.loss_bbox: 0.1807 d4.loss_iou: 0.3651 enc_loss_cls: 0.3999 enc_loss_bbox: 0.1936 enc_loss_iou: 0.3967 dn_loss_cls: 0.0717 dn_loss_bbox: 0.1563 dn_loss_iou: 0.2520 d0.dn_loss_cls: 0.1640 d0.dn_loss_bbox: 0.3048 d0.dn_loss_iou: 0.4114 d1.dn_loss_cls: 0.1044 d1.dn_loss_bbox: 0.1877 d1.dn_loss_iou: 0.2874 d2.dn_loss_cls: 0.0859 d2.dn_loss_bbox: 0.1626 d2.dn_loss_iou: 0.2600 d3.dn_loss_cls: 0.0773 d3.dn_loss_bbox: 0.1575 d3.dn_loss_iou: 0.2534 d4.dn_loss_cls: 0.0726 d4.dn_loss_bbox: 0.1563 d4.dn_loss_iou: 0.2519 d1.loss_lmm_region: 0.1387 loss_lmm_image: 0.8207 +2024/11/07 19:14:29 - mmengine - INFO - Iter(train) [ 52600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:09:04 time: 1.0335 data_time: 0.0185 memory: 24304 grad_norm: 20.3191 loss: 9.9750 loss_cls: 0.3170 loss_bbox: 0.1512 loss_iou: 0.3069 d0.loss_cls: 0.3536 d0.loss_bbox: 0.1590 d0.loss_iou: 0.3206 d1.loss_cls: 0.3356 d1.loss_bbox: 0.1530 d1.loss_iou: 0.3130 d2.loss_cls: 0.3219 d2.loss_bbox: 0.1542 d2.loss_iou: 0.3117 d3.loss_cls: 0.3173 d3.loss_bbox: 0.1547 d3.loss_iou: 0.3111 d4.loss_cls: 0.3215 d4.loss_bbox: 0.1502 d4.loss_iou: 0.3045 enc_loss_cls: 0.3664 enc_loss_bbox: 0.1733 enc_loss_iou: 0.3507 dn_loss_cls: 0.0866 dn_loss_bbox: 0.1605 dn_loss_iou: 0.2315 d0.dn_loss_cls: 0.1601 d0.dn_loss_bbox: 0.2925 d0.dn_loss_iou: 0.3732 d1.dn_loss_cls: 0.1097 d1.dn_loss_bbox: 0.1900 d1.dn_loss_iou: 0.2653 d2.dn_loss_cls: 0.0944 d2.dn_loss_bbox: 0.1689 d2.dn_loss_iou: 0.2404 d3.dn_loss_cls: 0.0900 d3.dn_loss_bbox: 0.1611 d3.dn_loss_iou: 0.2327 d4.dn_loss_cls: 0.0864 d4.dn_loss_bbox: 0.1605 d4.dn_loss_iou: 0.2316 d1.loss_lmm_region: 0.1331 loss_lmm_image: 0.8593 +2024/11/07 19:16:11 - mmengine - INFO - Iter(train) [ 52700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:07:18 time: 1.0321 data_time: 0.0186 memory: 24275 grad_norm: 23.1414 loss: 9.7792 loss_cls: 0.3298 loss_bbox: 0.1520 loss_iou: 0.2968 d0.loss_cls: 0.3674 d0.loss_bbox: 0.1767 d0.loss_iou: 0.3246 d1.loss_cls: 0.3506 d1.loss_bbox: 0.1590 d1.loss_iou: 0.3076 d2.loss_cls: 0.3437 d2.loss_bbox: 0.1530 d2.loss_iou: 0.2994 d3.loss_cls: 0.3356 d3.loss_bbox: 0.1505 d3.loss_iou: 0.2980 d4.loss_cls: 0.3312 d4.loss_bbox: 0.1505 d4.loss_iou: 0.2978 enc_loss_cls: 0.3903 enc_loss_bbox: 0.1777 enc_loss_iou: 0.3348 dn_loss_cls: 0.0890 dn_loss_bbox: 0.1479 dn_loss_iou: 0.2019 d0.dn_loss_cls: 0.1666 d0.dn_loss_bbox: 0.2851 d0.dn_loss_iou: 0.3484 d1.dn_loss_cls: 0.1161 d1.dn_loss_bbox: 0.1783 d1.dn_loss_iou: 0.2350 d2.dn_loss_cls: 0.0991 d2.dn_loss_bbox: 0.1537 d2.dn_loss_iou: 0.2093 d3.dn_loss_cls: 0.0912 d3.dn_loss_bbox: 0.1491 d3.dn_loss_iou: 0.2029 d4.dn_loss_cls: 0.0888 d4.dn_loss_bbox: 0.1479 d4.dn_loss_iou: 0.2017 d1.loss_lmm_region: 0.1332 loss_lmm_image: 0.8071 +2024/11/07 19:17:56 - mmengine - INFO - Iter(train) [ 52800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:05:34 time: 1.0395 data_time: 0.0185 memory: 23627 grad_norm: 24.1480 loss: 9.7179 loss_cls: 0.2970 loss_bbox: 0.1504 loss_iou: 0.2780 d0.loss_cls: 0.3380 d0.loss_bbox: 0.1645 d0.loss_iou: 0.2935 d1.loss_cls: 0.3188 d1.loss_bbox: 0.1530 d1.loss_iou: 0.2824 d2.loss_cls: 0.3060 d2.loss_bbox: 0.1543 d2.loss_iou: 0.2813 d3.loss_cls: 0.3089 d3.loss_bbox: 0.1447 d3.loss_iou: 0.2773 d4.loss_cls: 0.3063 d4.loss_bbox: 0.1441 d4.loss_iou: 0.2759 enc_loss_cls: 0.3562 enc_loss_bbox: 0.1709 enc_loss_iou: 0.3135 dn_loss_cls: 0.0887 dn_loss_bbox: 0.1679 dn_loss_iou: 0.2333 d0.dn_loss_cls: 0.1702 d0.dn_loss_bbox: 0.3248 d0.dn_loss_iou: 0.3839 d1.dn_loss_cls: 0.1160 d1.dn_loss_bbox: 0.2042 d1.dn_loss_iou: 0.2681 d2.dn_loss_cls: 0.1025 d2.dn_loss_bbox: 0.1789 d2.dn_loss_iou: 0.2425 d3.dn_loss_cls: 0.0944 d3.dn_loss_bbox: 0.1695 d3.dn_loss_iou: 0.2353 d4.dn_loss_cls: 0.0900 d4.dn_loss_bbox: 0.1678 d4.dn_loss_iou: 0.2333 d1.loss_lmm_region: 0.1386 loss_lmm_image: 0.7931 +2024/11/07 19:19:38 - mmengine - INFO - Iter(train) [ 52900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:03:47 time: 1.0296 data_time: 0.0185 memory: 22938 grad_norm: nan loss: 10.2550 loss_cls: 0.3377 loss_bbox: 0.1564 loss_iou: 0.3017 d0.loss_cls: 0.3808 d0.loss_bbox: 0.1687 d0.loss_iou: 0.3189 d1.loss_cls: 0.3542 d1.loss_bbox: 0.1599 d1.loss_iou: 0.3097 d2.loss_cls: 0.3479 d2.loss_bbox: 0.1567 d2.loss_iou: 0.3003 d3.loss_cls: 0.3418 d3.loss_bbox: 0.1578 d3.loss_iou: 0.3011 d4.loss_cls: 0.3379 d4.loss_bbox: 0.1585 d4.loss_iou: 0.3026 enc_loss_cls: 0.3977 enc_loss_bbox: 0.1848 enc_loss_iou: 0.3434 dn_loss_cls: 0.1055 dn_loss_bbox: 0.1682 dn_loss_iou: 0.2246 d0.dn_loss_cls: 0.1836 d0.dn_loss_bbox: 0.3153 d0.dn_loss_iou: 0.3654 d1.dn_loss_cls: 0.1333 d1.dn_loss_bbox: 0.1927 d1.dn_loss_iou: 0.2519 d2.dn_loss_cls: 0.1209 d2.dn_loss_bbox: 0.1722 d2.dn_loss_iou: 0.2312 d3.dn_loss_cls: 0.1113 d3.dn_loss_bbox: 0.1691 d3.dn_loss_iou: 0.2257 d4.dn_loss_cls: 0.1074 d4.dn_loss_bbox: 0.1683 d4.dn_loss_iou: 0.2246 d1.loss_lmm_region: 0.1431 loss_lmm_image: 0.8223 +2024/11/07 19:21:22 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/07 19:21:22 - mmengine - INFO - Iter(train) [ 53000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:02:02 time: 1.0364 data_time: 0.0185 memory: 23685 grad_norm: 26.6798 loss: 9.6198 loss_cls: 0.3095 loss_bbox: 0.1550 loss_iou: 0.2479 d0.loss_cls: 0.3332 d0.loss_bbox: 0.1699 d0.loss_iou: 0.2683 d1.loss_cls: 0.3267 d1.loss_bbox: 0.1603 d1.loss_iou: 0.2573 d2.loss_cls: 0.3228 d2.loss_bbox: 0.1521 d2.loss_iou: 0.2503 d3.loss_cls: 0.3181 d3.loss_bbox: 0.1509 d3.loss_iou: 0.2480 d4.loss_cls: 0.3114 d4.loss_bbox: 0.1557 d4.loss_iou: 0.2478 enc_loss_cls: 0.3551 enc_loss_bbox: 0.1873 enc_loss_iou: 0.2889 dn_loss_cls: 0.0923 dn_loss_bbox: 0.1667 dn_loss_iou: 0.2196 d0.dn_loss_cls: 0.1759 d0.dn_loss_bbox: 0.3030 d0.dn_loss_iou: 0.3589 d1.dn_loss_cls: 0.1215 d1.dn_loss_bbox: 0.1950 d1.dn_loss_iou: 0.2514 d2.dn_loss_cls: 0.1078 d2.dn_loss_bbox: 0.1745 d2.dn_loss_iou: 0.2290 d3.dn_loss_cls: 0.0984 d3.dn_loss_bbox: 0.1674 d3.dn_loss_iou: 0.2208 d4.dn_loss_cls: 0.0936 d4.dn_loss_bbox: 0.1667 d4.dn_loss_iou: 0.2194 d1.loss_lmm_region: 0.1776 loss_lmm_image: 0.8640 +2024/11/07 19:23:05 - mmengine - INFO - Iter(train) [ 53100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:00:16 time: 1.0267 data_time: 0.0186 memory: 23820 grad_norm: 21.6479 loss: 9.2603 loss_cls: 0.2998 loss_bbox: 0.1286 loss_iou: 0.2380 d0.loss_cls: 0.3382 d0.loss_bbox: 0.1411 d0.loss_iou: 0.2557 d1.loss_cls: 0.3183 d1.loss_bbox: 0.1315 d1.loss_iou: 0.2419 d2.loss_cls: 0.3090 d2.loss_bbox: 0.1299 d2.loss_iou: 0.2394 d3.loss_cls: 0.3123 d3.loss_bbox: 0.1240 d3.loss_iou: 0.2350 d4.loss_cls: 0.2948 d4.loss_bbox: 0.1315 d4.loss_iou: 0.2403 enc_loss_cls: 0.3551 enc_loss_bbox: 0.1525 enc_loss_iou: 0.2770 dn_loss_cls: 0.1017 dn_loss_bbox: 0.1746 dn_loss_iou: 0.2171 d0.dn_loss_cls: 0.1757 d0.dn_loss_bbox: 0.3077 d0.dn_loss_iou: 0.3544 d1.dn_loss_cls: 0.1254 d1.dn_loss_bbox: 0.2020 d1.dn_loss_iou: 0.2451 d2.dn_loss_cls: 0.1118 d2.dn_loss_bbox: 0.1783 d2.dn_loss_iou: 0.2224 d3.dn_loss_cls: 0.1046 d3.dn_loss_bbox: 0.1750 d3.dn_loss_iou: 0.2176 d4.dn_loss_cls: 0.1015 d4.dn_loss_bbox: 0.1747 d4.dn_loss_iou: 0.2170 d1.loss_lmm_region: 0.1615 loss_lmm_image: 0.7982 +2024/11/07 19:24:48 - mmengine - INFO - Iter(train) [ 53200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:58:30 time: 1.0225 data_time: 0.0186 memory: 23777 grad_norm: 26.4733 loss: 10.1635 loss_cls: 0.3324 loss_bbox: 0.1438 loss_iou: 0.2766 d0.loss_cls: 0.3660 d0.loss_bbox: 0.1692 d0.loss_iou: 0.2988 d1.loss_cls: 0.3547 d1.loss_bbox: 0.1529 d1.loss_iou: 0.2844 d2.loss_cls: 0.3440 d2.loss_bbox: 0.1467 d2.loss_iou: 0.2809 d3.loss_cls: 0.3378 d3.loss_bbox: 0.1442 d3.loss_iou: 0.2783 d4.loss_cls: 0.3354 d4.loss_bbox: 0.1423 d4.loss_iou: 0.2757 enc_loss_cls: 0.3857 enc_loss_bbox: 0.1793 enc_loss_iou: 0.3195 dn_loss_cls: 0.1047 dn_loss_bbox: 0.1666 dn_loss_iou: 0.2395 d0.dn_loss_cls: 0.1925 d0.dn_loss_bbox: 0.3229 d0.dn_loss_iou: 0.3941 d1.dn_loss_cls: 0.1322 d1.dn_loss_bbox: 0.2070 d1.dn_loss_iou: 0.2789 d2.dn_loss_cls: 0.1193 d2.dn_loss_bbox: 0.1783 d2.dn_loss_iou: 0.2505 d3.dn_loss_cls: 0.1112 d3.dn_loss_bbox: 0.1690 d3.dn_loss_iou: 0.2417 d4.dn_loss_cls: 0.1055 d4.dn_loss_bbox: 0.1666 d4.dn_loss_iou: 0.2396 d1.loss_lmm_region: 0.1668 loss_lmm_image: 0.8277 +2024/11/07 19:26:30 - mmengine - INFO - Iter(train) [ 53300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:56:44 time: 1.0135 data_time: 0.0186 memory: 23201 grad_norm: 23.7718 loss: 8.5872 loss_cls: 0.2890 loss_bbox: 0.1158 loss_iou: 0.2211 d0.loss_cls: 0.3260 d0.loss_bbox: 0.1259 d0.loss_iou: 0.2332 d1.loss_cls: 0.2997 d1.loss_bbox: 0.1190 d1.loss_iou: 0.2279 d2.loss_cls: 0.3005 d2.loss_bbox: 0.1127 d2.loss_iou: 0.2208 d3.loss_cls: 0.2929 d3.loss_bbox: 0.1160 d3.loss_iou: 0.2212 d4.loss_cls: 0.2895 d4.loss_bbox: 0.1161 d4.loss_iou: 0.2210 enc_loss_cls: 0.3383 enc_loss_bbox: 0.1358 enc_loss_iou: 0.2538 dn_loss_cls: 0.0761 dn_loss_bbox: 0.1530 dn_loss_iou: 0.1889 d0.dn_loss_cls: 0.1576 d0.dn_loss_bbox: 0.2972 d0.dn_loss_iou: 0.3287 d1.dn_loss_cls: 0.1010 d1.dn_loss_bbox: 0.1813 d1.dn_loss_iou: 0.2212 d2.dn_loss_cls: 0.0882 d2.dn_loss_bbox: 0.1604 d2.dn_loss_iou: 0.1973 d3.dn_loss_cls: 0.0806 d3.dn_loss_bbox: 0.1538 d3.dn_loss_iou: 0.1901 d4.dn_loss_cls: 0.0774 d4.dn_loss_bbox: 0.1530 d4.dn_loss_iou: 0.1889 d1.loss_lmm_region: 0.1383 loss_lmm_image: 0.8780 +2024/11/07 19:28:13 - mmengine - INFO - Iter(train) [ 53400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:54:58 time: 1.0215 data_time: 0.0185 memory: 23210 grad_norm: 21.1272 loss: 10.6084 loss_cls: 0.3322 loss_bbox: 0.1706 loss_iou: 0.2941 d0.loss_cls: 0.3713 d0.loss_bbox: 0.1831 d0.loss_iou: 0.3126 d1.loss_cls: 0.3495 d1.loss_bbox: 0.1778 d1.loss_iou: 0.3012 d2.loss_cls: 0.3412 d2.loss_bbox: 0.1734 d2.loss_iou: 0.2961 d3.loss_cls: 0.3398 d3.loss_bbox: 0.1705 d3.loss_iou: 0.2960 d4.loss_cls: 0.3307 d4.loss_bbox: 0.1711 d4.loss_iou: 0.2951 enc_loss_cls: 0.3925 enc_loss_bbox: 0.1980 enc_loss_iou: 0.3403 dn_loss_cls: 0.0864 dn_loss_bbox: 0.2060 dn_loss_iou: 0.2467 d0.dn_loss_cls: 0.1866 d0.dn_loss_bbox: 0.3592 d0.dn_loss_iou: 0.3993 d1.dn_loss_cls: 0.1271 d1.dn_loss_bbox: 0.2416 d1.dn_loss_iou: 0.2811 d2.dn_loss_cls: 0.1080 d2.dn_loss_bbox: 0.2158 d2.dn_loss_iou: 0.2551 d3.dn_loss_cls: 0.0941 d3.dn_loss_bbox: 0.2069 d3.dn_loss_iou: 0.2474 d4.dn_loss_cls: 0.0881 d4.dn_loss_bbox: 0.2059 d4.dn_loss_iou: 0.2467 d1.loss_lmm_region: 0.1647 loss_lmm_image: 0.8047 +2024/11/07 19:29:57 - mmengine - INFO - Iter(train) [ 53500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:53:12 time: 1.0269 data_time: 0.0186 memory: 22774 grad_norm: 20.0371 loss: 9.1234 loss_cls: 0.2861 loss_bbox: 0.1346 loss_iou: 0.2343 d0.loss_cls: 0.3157 d0.loss_bbox: 0.1418 d0.loss_iou: 0.2492 d1.loss_cls: 0.3030 d1.loss_bbox: 0.1394 d1.loss_iou: 0.2393 d2.loss_cls: 0.3009 d2.loss_bbox: 0.1332 d2.loss_iou: 0.2299 d3.loss_cls: 0.2912 d3.loss_bbox: 0.1356 d3.loss_iou: 0.2363 d4.loss_cls: 0.2906 d4.loss_bbox: 0.1319 d4.loss_iou: 0.2299 enc_loss_cls: 0.3382 enc_loss_bbox: 0.1524 enc_loss_iou: 0.2664 dn_loss_cls: 0.0940 dn_loss_bbox: 0.1644 dn_loss_iou: 0.2215 d0.dn_loss_cls: 0.1807 d0.dn_loss_bbox: 0.3115 d0.dn_loss_iou: 0.3698 d1.dn_loss_cls: 0.1249 d1.dn_loss_bbox: 0.1939 d1.dn_loss_iou: 0.2551 d2.dn_loss_cls: 0.1074 d2.dn_loss_bbox: 0.1713 d2.dn_loss_iou: 0.2302 d3.dn_loss_cls: 0.0996 d3.dn_loss_bbox: 0.1654 d3.dn_loss_iou: 0.2227 d4.dn_loss_cls: 0.0958 d4.dn_loss_bbox: 0.1644 d4.dn_loss_iou: 0.2214 d1.loss_lmm_region: 0.1679 loss_lmm_image: 0.7817 +2024/11/07 19:31:40 - mmengine - INFO - Iter(train) [ 53600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:51:27 time: 1.0308 data_time: 0.0185 memory: 23189 grad_norm: 20.6254 loss: 10.2706 loss_cls: 0.3069 loss_bbox: 0.1655 loss_iou: 0.3062 d0.loss_cls: 0.3400 d0.loss_bbox: 0.1811 d0.loss_iou: 0.3258 d1.loss_cls: 0.3250 d1.loss_bbox: 0.1704 d1.loss_iou: 0.3081 d2.loss_cls: 0.3181 d2.loss_bbox: 0.1654 d2.loss_iou: 0.3047 d3.loss_cls: 0.3133 d3.loss_bbox: 0.1668 d3.loss_iou: 0.3067 d4.loss_cls: 0.3074 d4.loss_bbox: 0.1661 d4.loss_iou: 0.3060 enc_loss_cls: 0.3707 enc_loss_bbox: 0.1927 enc_loss_iou: 0.3434 dn_loss_cls: 0.0811 dn_loss_bbox: 0.1765 dn_loss_iou: 0.2466 d0.dn_loss_cls: 0.1681 d0.dn_loss_bbox: 0.3366 d0.dn_loss_iou: 0.4104 d1.dn_loss_cls: 0.1116 d1.dn_loss_bbox: 0.2065 d1.dn_loss_iou: 0.2817 d2.dn_loss_cls: 0.0969 d2.dn_loss_bbox: 0.1829 d2.dn_loss_iou: 0.2552 d3.dn_loss_cls: 0.0858 d3.dn_loss_bbox: 0.1781 d3.dn_loss_iou: 0.2479 d4.dn_loss_cls: 0.0828 d4.dn_loss_bbox: 0.1766 d4.dn_loss_iou: 0.2467 d1.loss_lmm_region: 0.1568 loss_lmm_image: 0.8518 +2024/11/07 19:33:23 - mmengine - INFO - Iter(train) [ 53700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:49:42 time: 1.0416 data_time: 0.0186 memory: 23296 grad_norm: 21.3051 loss: 9.1200 loss_cls: 0.2687 loss_bbox: 0.1371 loss_iou: 0.2620 d0.loss_cls: 0.2955 d0.loss_bbox: 0.1460 d0.loss_iou: 0.2769 d1.loss_cls: 0.2844 d1.loss_bbox: 0.1395 d1.loss_iou: 0.2651 d2.loss_cls: 0.2735 d2.loss_bbox: 0.1384 d2.loss_iou: 0.2658 d3.loss_cls: 0.2740 d3.loss_bbox: 0.1353 d3.loss_iou: 0.2574 d4.loss_cls: 0.2669 d4.loss_bbox: 0.1386 d4.loss_iou: 0.2620 enc_loss_cls: 0.3169 enc_loss_bbox: 0.1568 enc_loss_iou: 0.2971 dn_loss_cls: 0.0834 dn_loss_bbox: 0.1630 dn_loss_iou: 0.2226 d0.dn_loss_cls: 0.1737 d0.dn_loss_bbox: 0.3087 d0.dn_loss_iou: 0.3716 d1.dn_loss_cls: 0.1185 d1.dn_loss_bbox: 0.1950 d1.dn_loss_iou: 0.2561 d2.dn_loss_cls: 0.0981 d2.dn_loss_bbox: 0.1715 d2.dn_loss_iou: 0.2312 d3.dn_loss_cls: 0.0882 d3.dn_loss_bbox: 0.1645 d3.dn_loss_iou: 0.2241 d4.dn_loss_cls: 0.0845 d4.dn_loss_bbox: 0.1629 d4.dn_loss_iou: 0.2224 d1.loss_lmm_region: 0.1506 loss_lmm_image: 0.7712 +2024/11/07 19:35:06 - mmengine - INFO - Iter(train) [ 53800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:47:55 time: 1.0228 data_time: 0.0185 memory: 23280 grad_norm: 21.4961 loss: 9.9606 loss_cls: 0.3004 loss_bbox: 0.1676 loss_iou: 0.2661 d0.loss_cls: 0.3392 d0.loss_bbox: 0.1831 d0.loss_iou: 0.2873 d1.loss_cls: 0.3186 d1.loss_bbox: 0.1717 d1.loss_iou: 0.2756 d2.loss_cls: 0.3102 d2.loss_bbox: 0.1699 d2.loss_iou: 0.2691 d3.loss_cls: 0.3073 d3.loss_bbox: 0.1659 d3.loss_iou: 0.2678 d4.loss_cls: 0.3014 d4.loss_bbox: 0.1687 d4.loss_iou: 0.2665 enc_loss_cls: 0.3511 enc_loss_bbox: 0.2022 enc_loss_iou: 0.3077 dn_loss_cls: 0.0869 dn_loss_bbox: 0.1958 dn_loss_iou: 0.2336 d0.dn_loss_cls: 0.1755 d0.dn_loss_bbox: 0.3611 d0.dn_loss_iou: 0.3810 d1.dn_loss_cls: 0.1160 d1.dn_loss_bbox: 0.2290 d1.dn_loss_iou: 0.2673 d2.dn_loss_cls: 0.1002 d2.dn_loss_bbox: 0.2054 d2.dn_loss_iou: 0.2433 d3.dn_loss_cls: 0.0904 d3.dn_loss_bbox: 0.1966 d3.dn_loss_iou: 0.2349 d4.dn_loss_cls: 0.0876 d4.dn_loss_bbox: 0.1959 d4.dn_loss_iou: 0.2334 d1.loss_lmm_region: 0.1385 loss_lmm_image: 0.7910 +2024/11/07 19:36:49 - mmengine - INFO - Iter(train) [ 53900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:46:10 time: 1.0336 data_time: 0.0187 memory: 23566 grad_norm: 21.6472 loss: 9.6601 loss_cls: 0.2938 loss_bbox: 0.1524 loss_iou: 0.2441 d0.loss_cls: 0.3386 d0.loss_bbox: 0.1637 d0.loss_iou: 0.2606 d1.loss_cls: 0.3124 d1.loss_bbox: 0.1587 d1.loss_iou: 0.2517 d2.loss_cls: 0.3053 d2.loss_bbox: 0.1530 d2.loss_iou: 0.2435 d3.loss_cls: 0.2973 d3.loss_bbox: 0.1524 d3.loss_iou: 0.2448 d4.loss_cls: 0.2946 d4.loss_bbox: 0.1518 d4.loss_iou: 0.2434 enc_loss_cls: 0.3447 enc_loss_bbox: 0.1893 enc_loss_iou: 0.2865 dn_loss_cls: 0.0764 dn_loss_bbox: 0.1882 dn_loss_iou: 0.2372 d0.dn_loss_cls: 0.1769 d0.dn_loss_bbox: 0.3672 d0.dn_loss_iou: 0.4055 d1.dn_loss_cls: 0.1171 d1.dn_loss_bbox: 0.2262 d1.dn_loss_iou: 0.2747 d2.dn_loss_cls: 0.0963 d2.dn_loss_bbox: 0.1977 d2.dn_loss_iou: 0.2469 d3.dn_loss_cls: 0.0825 d3.dn_loss_bbox: 0.1896 d3.dn_loss_iou: 0.2387 d4.dn_loss_cls: 0.0782 d4.dn_loss_bbox: 0.1883 d4.dn_loss_iou: 0.2371 d1.loss_lmm_region: 0.1625 loss_lmm_image: 0.7901 +2024/11/07 19:38:32 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/07 19:38:32 - mmengine - INFO - Iter(train) [ 54000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:44:24 time: 1.0324 data_time: 0.0185 memory: 23514 grad_norm: 20.4249 loss: 9.5909 loss_cls: 0.2906 loss_bbox: 0.1328 loss_iou: 0.2463 d0.loss_cls: 0.3190 d0.loss_bbox: 0.1527 d0.loss_iou: 0.2692 d1.loss_cls: 0.2971 d1.loss_bbox: 0.1418 d1.loss_iou: 0.2588 d2.loss_cls: 0.2944 d2.loss_bbox: 0.1335 d2.loss_iou: 0.2505 d3.loss_cls: 0.2885 d3.loss_bbox: 0.1342 d3.loss_iou: 0.2501 d4.loss_cls: 0.2914 d4.loss_bbox: 0.1321 d4.loss_iou: 0.2462 enc_loss_cls: 0.3274 enc_loss_bbox: 0.1652 enc_loss_iou: 0.2886 dn_loss_cls: 0.0995 dn_loss_bbox: 0.1953 dn_loss_iou: 0.2325 d0.dn_loss_cls: 0.1780 d0.dn_loss_bbox: 0.3462 d0.dn_loss_iou: 0.3849 d1.dn_loss_cls: 0.1248 d1.dn_loss_bbox: 0.2267 d1.dn_loss_iou: 0.2690 d2.dn_loss_cls: 0.1122 d2.dn_loss_bbox: 0.2043 d2.dn_loss_iou: 0.2429 d3.dn_loss_cls: 0.1033 d3.dn_loss_bbox: 0.1977 d3.dn_loss_iou: 0.2348 d4.dn_loss_cls: 0.1007 d4.dn_loss_bbox: 0.1953 d4.dn_loss_iou: 0.2324 d1.loss_lmm_region: 0.1319 loss_lmm_image: 0.8684 +2024/11/07 19:40:15 - mmengine - INFO - Iter(train) [ 54100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:42:38 time: 1.0279 data_time: 0.0185 memory: 23945 grad_norm: 21.1765 loss: 10.5479 loss_cls: 0.3672 loss_bbox: 0.1579 loss_iou: 0.2977 d0.loss_cls: 0.4052 d0.loss_bbox: 0.1765 d0.loss_iou: 0.3239 d1.loss_cls: 0.3820 d1.loss_bbox: 0.1715 d1.loss_iou: 0.3128 d2.loss_cls: 0.3818 d2.loss_bbox: 0.1592 d2.loss_iou: 0.2987 d3.loss_cls: 0.3766 d3.loss_bbox: 0.1581 d3.loss_iou: 0.2972 d4.loss_cls: 0.3721 d4.loss_bbox: 0.1561 d4.loss_iou: 0.2958 enc_loss_cls: 0.4171 enc_loss_bbox: 0.1901 enc_loss_iou: 0.3484 dn_loss_cls: 0.1184 dn_loss_bbox: 0.1541 dn_loss_iou: 0.2245 d0.dn_loss_cls: 0.1969 d0.dn_loss_bbox: 0.2943 d0.dn_loss_iou: 0.3743 d1.dn_loss_cls: 0.1472 d1.dn_loss_bbox: 0.1876 d1.dn_loss_iou: 0.2607 d2.dn_loss_cls: 0.1366 d2.dn_loss_bbox: 0.1623 d2.dn_loss_iou: 0.2340 d3.dn_loss_cls: 0.1251 d3.dn_loss_bbox: 0.1558 d3.dn_loss_iou: 0.2260 d4.dn_loss_cls: 0.1222 d4.dn_loss_bbox: 0.1541 d4.dn_loss_iou: 0.2245 d1.loss_lmm_region: 0.1483 loss_lmm_image: 0.8551 +2024/11/07 19:41:59 - mmengine - INFO - Iter(train) [ 54200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:40:53 time: 1.0379 data_time: 0.0188 memory: 23919 grad_norm: 24.6802 loss: 8.6923 loss_cls: 0.2521 loss_bbox: 0.1318 loss_iou: 0.2186 d0.loss_cls: 0.2738 d0.loss_bbox: 0.1523 d0.loss_iou: 0.2357 d1.loss_cls: 0.2677 d1.loss_bbox: 0.1395 d1.loss_iou: 0.2242 d2.loss_cls: 0.2624 d2.loss_bbox: 0.1281 d2.loss_iou: 0.2164 d3.loss_cls: 0.2561 d3.loss_bbox: 0.1299 d3.loss_iou: 0.2167 d4.loss_cls: 0.2533 d4.loss_bbox: 0.1323 d4.loss_iou: 0.2187 enc_loss_cls: 0.2870 enc_loss_bbox: 0.1652 enc_loss_iou: 0.2564 dn_loss_cls: 0.0993 dn_loss_bbox: 0.1559 dn_loss_iou: 0.2037 d0.dn_loss_cls: 0.1845 d0.dn_loss_bbox: 0.3103 d0.dn_loss_iou: 0.3492 d1.dn_loss_cls: 0.1368 d1.dn_loss_bbox: 0.1916 d1.dn_loss_iou: 0.2370 d2.dn_loss_cls: 0.1157 d2.dn_loss_bbox: 0.1661 d2.dn_loss_iou: 0.2132 d3.dn_loss_cls: 0.1034 d3.dn_loss_bbox: 0.1570 d3.dn_loss_iou: 0.2048 d4.dn_loss_cls: 0.1000 d4.dn_loss_bbox: 0.1560 d4.dn_loss_iou: 0.2038 d1.loss_lmm_region: 0.1531 loss_lmm_image: 0.8329 +2024/11/07 19:43:42 - mmengine - INFO - Iter(train) [ 54300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:39:08 time: 1.0309 data_time: 0.0187 memory: 24109 grad_norm: 21.7721 loss: 9.1066 loss_cls: 0.2750 loss_bbox: 0.1322 loss_iou: 0.2177 d0.loss_cls: 0.3105 d0.loss_bbox: 0.1453 d0.loss_iou: 0.2321 d1.loss_cls: 0.2961 d1.loss_bbox: 0.1382 d1.loss_iou: 0.2245 d2.loss_cls: 0.2873 d2.loss_bbox: 0.1357 d2.loss_iou: 0.2207 d3.loss_cls: 0.2813 d3.loss_bbox: 0.1338 d3.loss_iou: 0.2178 d4.loss_cls: 0.2798 d4.loss_bbox: 0.1315 d4.loss_iou: 0.2160 enc_loss_cls: 0.3294 enc_loss_bbox: 0.1589 enc_loss_iou: 0.2501 dn_loss_cls: 0.1058 dn_loss_bbox: 0.1701 dn_loss_iou: 0.2087 d0.dn_loss_cls: 0.1998 d0.dn_loss_bbox: 0.3429 d0.dn_loss_iou: 0.3639 d1.dn_loss_cls: 0.1379 d1.dn_loss_bbox: 0.2085 d1.dn_loss_iou: 0.2426 d2.dn_loss_cls: 0.1170 d2.dn_loss_bbox: 0.1782 d2.dn_loss_iou: 0.2162 d3.dn_loss_cls: 0.1114 d3.dn_loss_bbox: 0.1709 d3.dn_loss_iou: 0.2096 d4.dn_loss_cls: 0.1063 d4.dn_loss_bbox: 0.1701 d4.dn_loss_iou: 0.2086 d1.loss_lmm_region: 0.1605 loss_lmm_image: 0.8636 +2024/11/07 19:45:25 - mmengine - INFO - Iter(train) [ 54400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:37:22 time: 1.0301 data_time: 0.0187 memory: 23417 grad_norm: 23.5030 loss: 9.6028 loss_cls: 0.2978 loss_bbox: 0.1387 loss_iou: 0.2487 d0.loss_cls: 0.3319 d0.loss_bbox: 0.1504 d0.loss_iou: 0.2702 d1.loss_cls: 0.3197 d1.loss_bbox: 0.1432 d1.loss_iou: 0.2570 d2.loss_cls: 0.3093 d2.loss_bbox: 0.1388 d2.loss_iou: 0.2517 d3.loss_cls: 0.3063 d3.loss_bbox: 0.1379 d3.loss_iou: 0.2485 d4.loss_cls: 0.2988 d4.loss_bbox: 0.1380 d4.loss_iou: 0.2488 enc_loss_cls: 0.3507 enc_loss_bbox: 0.1628 enc_loss_iou: 0.2867 dn_loss_cls: 0.0952 dn_loss_bbox: 0.1787 dn_loss_iou: 0.2276 d0.dn_loss_cls: 0.1976 d0.dn_loss_bbox: 0.3377 d0.dn_loss_iou: 0.3864 d1.dn_loss_cls: 0.1306 d1.dn_loss_bbox: 0.2154 d1.dn_loss_iou: 0.2642 d2.dn_loss_cls: 0.1103 d2.dn_loss_bbox: 0.1899 d2.dn_loss_iou: 0.2373 d3.dn_loss_cls: 0.1006 d3.dn_loss_bbox: 0.1803 d3.dn_loss_iou: 0.2290 d4.dn_loss_cls: 0.0980 d4.dn_loss_bbox: 0.1786 d4.dn_loss_iou: 0.2274 d1.loss_lmm_region: 0.1720 loss_lmm_image: 0.8098 +2024/11/07 19:47:08 - mmengine - INFO - Iter(train) [ 54500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:35:37 time: 1.0267 data_time: 0.0186 memory: 24217 grad_norm: 21.4512 loss: 8.7739 loss_cls: 0.2643 loss_bbox: 0.1311 loss_iou: 0.2437 d0.loss_cls: 0.2967 d0.loss_bbox: 0.1455 d0.loss_iou: 0.2608 d1.loss_cls: 0.2829 d1.loss_bbox: 0.1341 d1.loss_iou: 0.2490 d2.loss_cls: 0.2738 d2.loss_bbox: 0.1314 d2.loss_iou: 0.2445 d3.loss_cls: 0.2693 d3.loss_bbox: 0.1301 d3.loss_iou: 0.2447 d4.loss_cls: 0.2674 d4.loss_bbox: 0.1303 d4.loss_iou: 0.2430 enc_loss_cls: 0.3136 enc_loss_bbox: 0.1587 enc_loss_iou: 0.2816 dn_loss_cls: 0.0685 dn_loss_bbox: 0.1481 dn_loss_iou: 0.2149 d0.dn_loss_cls: 0.1545 d0.dn_loss_bbox: 0.3026 d0.dn_loss_iou: 0.3585 d1.dn_loss_cls: 0.0978 d1.dn_loss_bbox: 0.1798 d1.dn_loss_iou: 0.2456 d2.dn_loss_cls: 0.0810 d2.dn_loss_bbox: 0.1571 d2.dn_loss_iou: 0.2229 d3.dn_loss_cls: 0.0746 d3.dn_loss_bbox: 0.1505 d3.dn_loss_iou: 0.2163 d4.dn_loss_cls: 0.0696 d4.dn_loss_bbox: 0.1481 d4.dn_loss_iou: 0.2148 d1.loss_lmm_region: 0.1488 loss_lmm_image: 0.8232 +2024/11/07 19:48:53 - mmengine - INFO - Iter(train) [ 54600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:33:53 time: 1.0470 data_time: 0.0185 memory: 24575 grad_norm: 21.5156 loss: 11.7914 loss_cls: 0.4137 loss_bbox: 0.1965 loss_iou: 0.3310 d0.loss_cls: 0.4516 d0.loss_bbox: 0.2161 d0.loss_iou: 0.3548 d1.loss_cls: 0.4307 d1.loss_bbox: 0.2025 d1.loss_iou: 0.3396 d2.loss_cls: 0.4296 d2.loss_bbox: 0.2037 d2.loss_iou: 0.3341 d3.loss_cls: 0.4295 d3.loss_bbox: 0.1949 d3.loss_iou: 0.3298 d4.loss_cls: 0.4166 d4.loss_bbox: 0.1964 d4.loss_iou: 0.3296 enc_loss_cls: 0.4616 enc_loss_bbox: 0.2322 enc_loss_iou: 0.3806 dn_loss_cls: 0.1053 dn_loss_bbox: 0.2065 dn_loss_iou: 0.2434 d0.dn_loss_cls: 0.2008 d0.dn_loss_bbox: 0.3760 d0.dn_loss_iou: 0.4063 d1.dn_loss_cls: 0.1375 d1.dn_loss_bbox: 0.2458 d1.dn_loss_iou: 0.2792 d2.dn_loss_cls: 0.1178 d2.dn_loss_bbox: 0.2192 d2.dn_loss_iou: 0.2537 d3.dn_loss_cls: 0.1103 d3.dn_loss_bbox: 0.2077 d3.dn_loss_iou: 0.2444 d4.dn_loss_cls: 0.1062 d4.dn_loss_bbox: 0.2065 d4.dn_loss_iou: 0.2434 d1.loss_lmm_region: 0.1816 loss_lmm_image: 0.8249 +2024/11/07 19:50:34 - mmengine - INFO - Iter(train) [ 54700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:32:05 time: 1.0177 data_time: 0.0186 memory: 23233 grad_norm: 21.2221 loss: 10.4098 loss_cls: 0.3300 loss_bbox: 0.1619 loss_iou: 0.2925 d0.loss_cls: 0.3673 d0.loss_bbox: 0.1706 d0.loss_iou: 0.3075 d1.loss_cls: 0.3494 d1.loss_bbox: 0.1658 d1.loss_iou: 0.2954 d2.loss_cls: 0.3398 d2.loss_bbox: 0.1619 d2.loss_iou: 0.2936 d3.loss_cls: 0.3383 d3.loss_bbox: 0.1612 d3.loss_iou: 0.2919 d4.loss_cls: 0.3322 d4.loss_bbox: 0.1622 d4.loss_iou: 0.2918 enc_loss_cls: 0.3802 enc_loss_bbox: 0.1821 enc_loss_iou: 0.3281 dn_loss_cls: 0.0912 dn_loss_bbox: 0.1805 dn_loss_iou: 0.2428 d0.dn_loss_cls: 0.1838 d0.dn_loss_bbox: 0.3373 d0.dn_loss_iou: 0.4017 d1.dn_loss_cls: 0.1298 d1.dn_loss_bbox: 0.2183 d1.dn_loss_iou: 0.2813 d2.dn_loss_cls: 0.1089 d2.dn_loss_bbox: 0.1898 d2.dn_loss_iou: 0.2522 d3.dn_loss_cls: 0.0971 d3.dn_loss_bbox: 0.1820 d3.dn_loss_iou: 0.2446 d4.dn_loss_cls: 0.0924 d4.dn_loss_bbox: 0.1804 d4.dn_loss_iou: 0.2427 d1.loss_lmm_region: 0.1557 loss_lmm_image: 0.8934 +2024/11/07 19:52:17 - mmengine - INFO - Iter(train) [ 54800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:30:19 time: 1.0189 data_time: 0.0184 memory: 23869 grad_norm: 20.8454 loss: 10.1821 loss_cls: 0.3359 loss_bbox: 0.1665 loss_iou: 0.2849 d0.loss_cls: 0.3704 d0.loss_bbox: 0.1871 d0.loss_iou: 0.3144 d1.loss_cls: 0.3464 d1.loss_bbox: 0.1782 d1.loss_iou: 0.2994 d2.loss_cls: 0.3380 d2.loss_bbox: 0.1714 d2.loss_iou: 0.2926 d3.loss_cls: 0.3357 d3.loss_bbox: 0.1688 d3.loss_iou: 0.2886 d4.loss_cls: 0.3377 d4.loss_bbox: 0.1669 d4.loss_iou: 0.2862 enc_loss_cls: 0.3749 enc_loss_bbox: 0.2087 enc_loss_iou: 0.3411 dn_loss_cls: 0.0881 dn_loss_bbox: 0.1698 dn_loss_iou: 0.2188 d0.dn_loss_cls: 0.1712 d0.dn_loss_bbox: 0.3415 d0.dn_loss_iou: 0.3730 d1.dn_loss_cls: 0.1231 d1.dn_loss_bbox: 0.2055 d1.dn_loss_iou: 0.2529 d2.dn_loss_cls: 0.1056 d2.dn_loss_bbox: 0.1795 d2.dn_loss_iou: 0.2286 d3.dn_loss_cls: 0.0931 d3.dn_loss_bbox: 0.1714 d3.dn_loss_iou: 0.2206 d4.dn_loss_cls: 0.0876 d4.dn_loss_bbox: 0.1698 d4.dn_loss_iou: 0.2188 d1.loss_lmm_region: 0.1409 loss_lmm_image: 0.8286 +2024/11/07 19:54:01 - mmengine - INFO - Iter(train) [ 54900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:28:34 time: 1.0346 data_time: 0.0186 memory: 23713 grad_norm: 24.7329 loss: 9.9926 loss_cls: 0.2751 loss_bbox: 0.1575 loss_iou: 0.2870 d0.loss_cls: 0.3132 d0.loss_bbox: 0.1731 d0.loss_iou: 0.3026 d1.loss_cls: 0.3016 d1.loss_bbox: 0.1622 d1.loss_iou: 0.2887 d2.loss_cls: 0.2888 d2.loss_bbox: 0.1580 d2.loss_iou: 0.2841 d3.loss_cls: 0.2800 d3.loss_bbox: 0.1580 d3.loss_iou: 0.2848 d4.loss_cls: 0.2767 d4.loss_bbox: 0.1585 d4.loss_iou: 0.2874 enc_loss_cls: 0.3364 enc_loss_bbox: 0.1789 enc_loss_iou: 0.3162 dn_loss_cls: 0.0925 dn_loss_bbox: 0.1959 dn_loss_iou: 0.2482 d0.dn_loss_cls: 0.1779 d0.dn_loss_bbox: 0.3597 d0.dn_loss_iou: 0.4092 d1.dn_loss_cls: 0.1209 d1.dn_loss_bbox: 0.2253 d1.dn_loss_iou: 0.2828 d2.dn_loss_cls: 0.1044 d2.dn_loss_bbox: 0.2014 d2.dn_loss_iou: 0.2566 d3.dn_loss_cls: 0.0962 d3.dn_loss_bbox: 0.1968 d3.dn_loss_iou: 0.2498 d4.dn_loss_cls: 0.0950 d4.dn_loss_bbox: 0.1960 d4.dn_loss_iou: 0.2482 d1.loss_lmm_region: 0.1495 loss_lmm_image: 0.8175 +2024/11/07 19:55:43 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/07 19:55:43 - mmengine - INFO - Iter(train) [ 55000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:26:48 time: 1.0234 data_time: 0.0185 memory: 23870 grad_norm: 42.0560 loss: 10.5677 loss_cls: 0.3815 loss_bbox: 0.1504 loss_iou: 0.2947 d0.loss_cls: 0.3928 d0.loss_bbox: 0.1714 d0.loss_iou: 0.3238 d1.loss_cls: 0.3811 d1.loss_bbox: 0.1620 d1.loss_iou: 0.3044 d2.loss_cls: 0.3697 d2.loss_bbox: 0.1539 d2.loss_iou: 0.2999 d3.loss_cls: 0.3741 d3.loss_bbox: 0.1512 d3.loss_iou: 0.2988 d4.loss_cls: 0.3826 d4.loss_bbox: 0.1500 d4.loss_iou: 0.2965 enc_loss_cls: 0.4042 enc_loss_bbox: 0.1821 enc_loss_iou: 0.3435 dn_loss_cls: 0.0979 dn_loss_bbox: 0.1702 dn_loss_iou: 0.2444 d0.dn_loss_cls: 0.1825 d0.dn_loss_bbox: 0.3346 d0.dn_loss_iou: 0.4026 d1.dn_loss_cls: 0.1329 d1.dn_loss_bbox: 0.2029 d1.dn_loss_iou: 0.2775 d2.dn_loss_cls: 0.1197 d2.dn_loss_bbox: 0.1789 d2.dn_loss_iou: 0.2537 d3.dn_loss_cls: 0.1065 d3.dn_loss_bbox: 0.1716 d3.dn_loss_iou: 0.2462 d4.dn_loss_cls: 0.0976 d4.dn_loss_bbox: 0.1703 d4.dn_loss_iou: 0.2445 d1.loss_lmm_region: 0.1566 loss_lmm_image: 0.8081 +2024/11/07 19:57:26 - mmengine - INFO - Iter(train) [ 55100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:25:02 time: 1.0353 data_time: 0.0187 memory: 23294 grad_norm: 21.0297 loss: 10.7076 loss_cls: 0.3234 loss_bbox: 0.1864 loss_iou: 0.2972 d0.loss_cls: 0.3655 d0.loss_bbox: 0.2005 d0.loss_iou: 0.3125 d1.loss_cls: 0.3452 d1.loss_bbox: 0.1857 d1.loss_iou: 0.3017 d2.loss_cls: 0.3400 d2.loss_bbox: 0.1845 d2.loss_iou: 0.2965 d3.loss_cls: 0.3311 d3.loss_bbox: 0.1840 d3.loss_iou: 0.2956 d4.loss_cls: 0.3256 d4.loss_bbox: 0.1846 d4.loss_iou: 0.2963 enc_loss_cls: 0.3805 enc_loss_bbox: 0.2149 enc_loss_iou: 0.3402 dn_loss_cls: 0.0961 dn_loss_bbox: 0.1913 dn_loss_iou: 0.2579 d0.dn_loss_cls: 0.1906 d0.dn_loss_bbox: 0.3472 d0.dn_loss_iou: 0.4183 d1.dn_loss_cls: 0.1345 d1.dn_loss_bbox: 0.2240 d1.dn_loss_iou: 0.2932 d2.dn_loss_cls: 0.1165 d2.dn_loss_bbox: 0.1981 d2.dn_loss_iou: 0.2669 d3.dn_loss_cls: 0.1038 d3.dn_loss_bbox: 0.1920 d3.dn_loss_iou: 0.2593 d4.dn_loss_cls: 0.0967 d4.dn_loss_bbox: 0.1912 d4.dn_loss_iou: 0.2577 d1.loss_lmm_region: 0.1622 loss_lmm_image: 0.8184 +2024/11/07 19:59:09 - mmengine - INFO - Iter(train) [ 55200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:23:16 time: 1.0334 data_time: 0.0187 memory: 23960 grad_norm: 21.1571 loss: 9.2168 loss_cls: 0.2744 loss_bbox: 0.1431 loss_iou: 0.2426 d0.loss_cls: 0.3103 d0.loss_bbox: 0.1515 d0.loss_iou: 0.2612 d1.loss_cls: 0.2905 d1.loss_bbox: 0.1411 d1.loss_iou: 0.2501 d2.loss_cls: 0.2881 d2.loss_bbox: 0.1392 d2.loss_iou: 0.2451 d3.loss_cls: 0.2861 d3.loss_bbox: 0.1368 d3.loss_iou: 0.2411 d4.loss_cls: 0.2804 d4.loss_bbox: 0.1372 d4.loss_iou: 0.2408 enc_loss_cls: 0.3255 enc_loss_bbox: 0.1700 enc_loss_iou: 0.2848 dn_loss_cls: 0.0818 dn_loss_bbox: 0.1702 dn_loss_iou: 0.2142 d0.dn_loss_cls: 0.1777 d0.dn_loss_bbox: 0.3434 d0.dn_loss_iou: 0.3728 d1.dn_loss_cls: 0.1159 d1.dn_loss_bbox: 0.2149 d1.dn_loss_iou: 0.2507 d2.dn_loss_cls: 0.0993 d2.dn_loss_bbox: 0.1853 d2.dn_loss_iou: 0.2251 d3.dn_loss_cls: 0.0892 d3.dn_loss_bbox: 0.1731 d3.dn_loss_iou: 0.2163 d4.dn_loss_cls: 0.0825 d4.dn_loss_bbox: 0.1699 d4.dn_loss_iou: 0.2141 d1.loss_lmm_region: 0.1566 loss_lmm_image: 0.8237 +2024/11/07 20:00:52 - mmengine - INFO - Iter(train) [ 55300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:21:30 time: 1.0290 data_time: 0.0185 memory: 23479 grad_norm: 29.5970 loss: 9.3007 loss_cls: 0.2704 loss_bbox: 0.1547 loss_iou: 0.2482 d0.loss_cls: 0.3065 d0.loss_bbox: 0.1638 d0.loss_iou: 0.2613 d1.loss_cls: 0.2897 d1.loss_bbox: 0.1581 d1.loss_iou: 0.2492 d2.loss_cls: 0.2838 d2.loss_bbox: 0.1491 d2.loss_iou: 0.2417 d3.loss_cls: 0.2774 d3.loss_bbox: 0.1534 d3.loss_iou: 0.2440 d4.loss_cls: 0.2728 d4.loss_bbox: 0.1536 d4.loss_iou: 0.2467 enc_loss_cls: 0.3260 enc_loss_bbox: 0.1770 enc_loss_iou: 0.2771 dn_loss_cls: 0.0770 dn_loss_bbox: 0.1746 dn_loss_iou: 0.2215 d0.dn_loss_cls: 0.1676 d0.dn_loss_bbox: 0.3396 d0.dn_loss_iou: 0.3784 d1.dn_loss_cls: 0.1135 d1.dn_loss_bbox: 0.2105 d1.dn_loss_iou: 0.2574 d2.dn_loss_cls: 0.0956 d2.dn_loss_bbox: 0.1845 d2.dn_loss_iou: 0.2311 d3.dn_loss_cls: 0.0824 d3.dn_loss_bbox: 0.1768 d3.dn_loss_iou: 0.2235 d4.dn_loss_cls: 0.0786 d4.dn_loss_bbox: 0.1745 d4.dn_loss_iou: 0.2215 d1.loss_lmm_region: 0.1579 loss_lmm_image: 0.8297 +2024/11/07 20:02:34 - mmengine - INFO - Iter(train) [ 55400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:19:43 time: 1.0218 data_time: 0.0187 memory: 23775 grad_norm: 22.1651 loss: 9.7883 loss_cls: 0.2848 loss_bbox: 0.1498 loss_iou: 0.2682 d0.loss_cls: 0.3258 d0.loss_bbox: 0.1620 d0.loss_iou: 0.2903 d1.loss_cls: 0.3062 d1.loss_bbox: 0.1515 d1.loss_iou: 0.2744 d2.loss_cls: 0.2978 d2.loss_bbox: 0.1486 d2.loss_iou: 0.2677 d3.loss_cls: 0.2916 d3.loss_bbox: 0.1476 d3.loss_iou: 0.2655 d4.loss_cls: 0.2861 d4.loss_bbox: 0.1490 d4.loss_iou: 0.2670 enc_loss_cls: 0.3356 enc_loss_bbox: 0.1753 enc_loss_iou: 0.3130 dn_loss_cls: 0.0944 dn_loss_bbox: 0.1819 dn_loss_iou: 0.2371 d0.dn_loss_cls: 0.1794 d0.dn_loss_bbox: 0.3574 d0.dn_loss_iou: 0.4005 d1.dn_loss_cls: 0.1240 d1.dn_loss_bbox: 0.2277 d1.dn_loss_iou: 0.2769 d2.dn_loss_cls: 0.1061 d2.dn_loss_bbox: 0.1962 d2.dn_loss_iou: 0.2489 d3.dn_loss_cls: 0.0988 d3.dn_loss_bbox: 0.1835 d3.dn_loss_iou: 0.2392 d4.dn_loss_cls: 0.0947 d4.dn_loss_bbox: 0.1819 d4.dn_loss_iou: 0.2372 d1.loss_lmm_region: 0.1332 loss_lmm_image: 0.8313 +2024/11/07 20:04:17 - mmengine - INFO - Iter(train) [ 55500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:17:57 time: 1.0271 data_time: 0.0185 memory: 23698 grad_norm: 23.3909 loss: 8.8009 loss_cls: 0.2775 loss_bbox: 0.1226 loss_iou: 0.2285 d0.loss_cls: 0.3067 d0.loss_bbox: 0.1379 d0.loss_iou: 0.2526 d1.loss_cls: 0.2920 d1.loss_bbox: 0.1260 d1.loss_iou: 0.2320 d2.loss_cls: 0.2867 d2.loss_bbox: 0.1203 d2.loss_iou: 0.2271 d3.loss_cls: 0.2812 d3.loss_bbox: 0.1225 d3.loss_iou: 0.2281 d4.loss_cls: 0.2783 d4.loss_bbox: 0.1224 d4.loss_iou: 0.2281 enc_loss_cls: 0.3255 enc_loss_bbox: 0.1473 enc_loss_iou: 0.2693 dn_loss_cls: 0.0829 dn_loss_bbox: 0.1527 dn_loss_iou: 0.2186 d0.dn_loss_cls: 0.1661 d0.dn_loss_bbox: 0.3042 d0.dn_loss_iou: 0.3712 d1.dn_loss_cls: 0.1115 d1.dn_loss_bbox: 0.1932 d1.dn_loss_iou: 0.2549 d2.dn_loss_cls: 0.0962 d2.dn_loss_bbox: 0.1602 d2.dn_loss_iou: 0.2272 d3.dn_loss_cls: 0.0874 d3.dn_loss_bbox: 0.1538 d3.dn_loss_iou: 0.2202 d4.dn_loss_cls: 0.0828 d4.dn_loss_bbox: 0.1528 d4.dn_loss_iou: 0.2188 d1.loss_lmm_region: 0.1158 loss_lmm_image: 0.8175 +2024/11/07 20:06:00 - mmengine - INFO - Iter(train) [ 55600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:16:11 time: 1.0279 data_time: 0.0188 memory: 23466 grad_norm: 23.4009 loss: 9.2417 loss_cls: 0.2715 loss_bbox: 0.1426 loss_iou: 0.2442 d0.loss_cls: 0.3023 d0.loss_bbox: 0.1564 d0.loss_iou: 0.2570 d1.loss_cls: 0.2878 d1.loss_bbox: 0.1473 d1.loss_iou: 0.2484 d2.loss_cls: 0.2777 d2.loss_bbox: 0.1443 d2.loss_iou: 0.2489 d3.loss_cls: 0.2759 d3.loss_bbox: 0.1430 d3.loss_iou: 0.2451 d4.loss_cls: 0.2726 d4.loss_bbox: 0.1429 d4.loss_iou: 0.2449 enc_loss_cls: 0.3208 enc_loss_bbox: 0.1675 enc_loss_iou: 0.2721 dn_loss_cls: 0.0916 dn_loss_bbox: 0.1783 dn_loss_iou: 0.2212 d0.dn_loss_cls: 0.1794 d0.dn_loss_bbox: 0.3326 d0.dn_loss_iou: 0.3669 d1.dn_loss_cls: 0.1226 d1.dn_loss_bbox: 0.2096 d1.dn_loss_iou: 0.2521 d2.dn_loss_cls: 0.1080 d2.dn_loss_bbox: 0.1893 d2.dn_loss_iou: 0.2306 d3.dn_loss_cls: 0.0956 d3.dn_loss_bbox: 0.1794 d3.dn_loss_iou: 0.2226 d4.dn_loss_cls: 0.0913 d4.dn_loss_bbox: 0.1782 d4.dn_loss_iou: 0.2211 d1.loss_lmm_region: 0.1445 loss_lmm_image: 0.8135 +2024/11/07 20:07:44 - mmengine - INFO - Iter(train) [ 55700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:14:27 time: 1.0299 data_time: 0.0187 memory: 24023 grad_norm: 20.8575 loss: 11.0459 loss_cls: 0.3611 loss_bbox: 0.1796 loss_iou: 0.3189 d0.loss_cls: 0.4021 d0.loss_bbox: 0.1891 d0.loss_iou: 0.3286 d1.loss_cls: 0.3848 d1.loss_bbox: 0.1766 d1.loss_iou: 0.3177 d2.loss_cls: 0.3769 d2.loss_bbox: 0.1736 d2.loss_iou: 0.3125 d3.loss_cls: 0.3687 d3.loss_bbox: 0.1759 d3.loss_iou: 0.3124 d4.loss_cls: 0.3672 d4.loss_bbox: 0.1755 d4.loss_iou: 0.3146 enc_loss_cls: 0.4191 enc_loss_bbox: 0.2025 enc_loss_iou: 0.3488 dn_loss_cls: 0.1070 dn_loss_bbox: 0.2027 dn_loss_iou: 0.2487 d0.dn_loss_cls: 0.1895 d0.dn_loss_bbox: 0.3652 d0.dn_loss_iou: 0.4060 d1.dn_loss_cls: 0.1355 d1.dn_loss_bbox: 0.2362 d1.dn_loss_iou: 0.2846 d2.dn_loss_cls: 0.1170 d2.dn_loss_bbox: 0.2103 d2.dn_loss_iou: 0.2581 d3.dn_loss_cls: 0.1098 d3.dn_loss_bbox: 0.2031 d3.dn_loss_iou: 0.2501 d4.dn_loss_cls: 0.1058 d4.dn_loss_bbox: 0.2026 d4.dn_loss_iou: 0.2488 d1.loss_lmm_region: 0.1505 loss_lmm_image: 0.8081 +2024/11/07 20:09:27 - mmengine - INFO - Iter(train) [ 55800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:12:42 time: 1.0355 data_time: 0.0186 memory: 23729 grad_norm: nan loss: 10.3121 loss_cls: 0.2917 loss_bbox: 0.1838 loss_iou: 0.2846 d0.loss_cls: 0.3303 d0.loss_bbox: 0.1884 d0.loss_iou: 0.2929 d1.loss_cls: 0.3142 d1.loss_bbox: 0.1778 d1.loss_iou: 0.2815 d2.loss_cls: 0.3012 d2.loss_bbox: 0.1806 d2.loss_iou: 0.2861 d3.loss_cls: 0.2965 d3.loss_bbox: 0.1844 d3.loss_iou: 0.2840 d4.loss_cls: 0.2917 d4.loss_bbox: 0.1837 d4.loss_iou: 0.2858 enc_loss_cls: 0.3556 enc_loss_bbox: 0.2007 enc_loss_iou: 0.3120 dn_loss_cls: 0.0835 dn_loss_bbox: 0.2106 dn_loss_iou: 0.2560 d0.dn_loss_cls: 0.1716 d0.dn_loss_bbox: 0.3832 d0.dn_loss_iou: 0.4140 d1.dn_loss_cls: 0.1173 d1.dn_loss_bbox: 0.2466 d1.dn_loss_iou: 0.2881 d2.dn_loss_cls: 0.0987 d2.dn_loss_bbox: 0.2194 d2.dn_loss_iou: 0.2640 d3.dn_loss_cls: 0.0898 d3.dn_loss_bbox: 0.2118 d3.dn_loss_iou: 0.2571 d4.dn_loss_cls: 0.0845 d4.dn_loss_bbox: 0.2106 d4.dn_loss_iou: 0.2557 d1.loss_lmm_region: 0.1624 loss_lmm_image: 0.7798 +2024/11/07 20:11:09 - mmengine - INFO - Iter(train) [ 55900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:10:55 time: 1.0234 data_time: 0.0187 memory: 23289 grad_norm: 23.6689 loss: 9.0966 loss_cls: 0.2507 loss_bbox: 0.1369 loss_iou: 0.2332 d0.loss_cls: 0.2815 d0.loss_bbox: 0.1508 d0.loss_iou: 0.2503 d1.loss_cls: 0.2671 d1.loss_bbox: 0.1416 d1.loss_iou: 0.2392 d2.loss_cls: 0.2601 d2.loss_bbox: 0.1371 d2.loss_iou: 0.2349 d3.loss_cls: 0.2553 d3.loss_bbox: 0.1365 d3.loss_iou: 0.2330 d4.loss_cls: 0.2516 d4.loss_bbox: 0.1362 d4.loss_iou: 0.2332 enc_loss_cls: 0.2998 enc_loss_bbox: 0.1642 enc_loss_iou: 0.2699 dn_loss_cls: 0.0916 dn_loss_bbox: 0.1903 dn_loss_iou: 0.2290 d0.dn_loss_cls: 0.1680 d0.dn_loss_bbox: 0.3448 d0.dn_loss_iou: 0.3774 d1.dn_loss_cls: 0.1170 d1.dn_loss_bbox: 0.2228 d1.dn_loss_iou: 0.2625 d2.dn_loss_cls: 0.1046 d2.dn_loss_bbox: 0.1949 d2.dn_loss_iou: 0.2363 d3.dn_loss_cls: 0.0952 d3.dn_loss_bbox: 0.1900 d3.dn_loss_iou: 0.2304 d4.dn_loss_cls: 0.0925 d4.dn_loss_bbox: 0.1903 d4.dn_loss_iou: 0.2291 d1.loss_lmm_region: 0.1479 loss_lmm_image: 0.8186 +2024/11/07 20:12:53 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/07 20:12:53 - mmengine - INFO - Iter(train) [ 56000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:09:10 time: 1.0343 data_time: 0.0185 memory: 23332 grad_norm: 31.3564 loss: 10.9626 loss_cls: 0.3226 loss_bbox: 0.1965 loss_iou: 0.3423 d0.loss_cls: 0.3686 d0.loss_bbox: 0.2106 d0.loss_iou: 0.3601 d1.loss_cls: 0.3537 d1.loss_bbox: 0.1945 d1.loss_iou: 0.3439 d2.loss_cls: 0.3460 d2.loss_bbox: 0.1880 d2.loss_iou: 0.3384 d3.loss_cls: 0.3360 d3.loss_bbox: 0.1932 d3.loss_iou: 0.3406 d4.loss_cls: 0.3259 d4.loss_bbox: 0.1942 d4.loss_iou: 0.3395 enc_loss_cls: 0.3877 enc_loss_bbox: 0.2252 enc_loss_iou: 0.3834 dn_loss_cls: 0.0920 dn_loss_bbox: 0.1927 dn_loss_iou: 0.2487 d0.dn_loss_cls: 0.1729 d0.dn_loss_bbox: 0.3450 d0.dn_loss_iou: 0.4009 d1.dn_loss_cls: 0.1203 d1.dn_loss_bbox: 0.2315 d1.dn_loss_iou: 0.2849 d2.dn_loss_cls: 0.1047 d2.dn_loss_bbox: 0.2048 d2.dn_loss_iou: 0.2585 d3.dn_loss_cls: 0.0963 d3.dn_loss_bbox: 0.1947 d3.dn_loss_iou: 0.2507 d4.dn_loss_cls: 0.0917 d4.dn_loss_bbox: 0.1927 d4.dn_loss_iou: 0.2488 d1.loss_lmm_region: 0.1448 loss_lmm_image: 0.7950 +2024/11/07 20:14:36 - mmengine - INFO - Iter(train) [ 56100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:07:24 time: 1.0325 data_time: 0.0187 memory: 23568 grad_norm: 22.2519 loss: 9.4081 loss_cls: 0.2914 loss_bbox: 0.1492 loss_iou: 0.2582 d0.loss_cls: 0.3279 d0.loss_bbox: 0.1615 d0.loss_iou: 0.2740 d1.loss_cls: 0.3109 d1.loss_bbox: 0.1545 d1.loss_iou: 0.2646 d2.loss_cls: 0.3032 d2.loss_bbox: 0.1485 d2.loss_iou: 0.2599 d3.loss_cls: 0.2989 d3.loss_bbox: 0.1479 d3.loss_iou: 0.2567 d4.loss_cls: 0.2946 d4.loss_bbox: 0.1476 d4.loss_iou: 0.2572 enc_loss_cls: 0.3433 enc_loss_bbox: 0.1706 enc_loss_iou: 0.2947 dn_loss_cls: 0.0860 dn_loss_bbox: 0.1712 dn_loss_iou: 0.2150 d0.dn_loss_cls: 0.1683 d0.dn_loss_bbox: 0.3243 d0.dn_loss_iou: 0.3574 d1.dn_loss_cls: 0.1164 d1.dn_loss_bbox: 0.2019 d1.dn_loss_iou: 0.2462 d2.dn_loss_cls: 0.0988 d2.dn_loss_bbox: 0.1793 d2.dn_loss_iou: 0.2234 d3.dn_loss_cls: 0.0905 d3.dn_loss_bbox: 0.1716 d3.dn_loss_iou: 0.2156 d4.dn_loss_cls: 0.0854 d4.dn_loss_bbox: 0.1712 d4.dn_loss_iou: 0.2149 d1.loss_lmm_region: 0.1403 loss_lmm_image: 0.8149 +2024/11/07 20:16:19 - mmengine - INFO - Iter(train) [ 56200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:05:39 time: 1.0321 data_time: 0.0186 memory: 23652 grad_norm: 20.7506 loss: 9.3374 loss_cls: 0.2870 loss_bbox: 0.1297 loss_iou: 0.2742 d0.loss_cls: 0.3232 d0.loss_bbox: 0.1436 d0.loss_iou: 0.2857 d1.loss_cls: 0.3061 d1.loss_bbox: 0.1336 d1.loss_iou: 0.2749 d2.loss_cls: 0.2996 d2.loss_bbox: 0.1295 d2.loss_iou: 0.2726 d3.loss_cls: 0.2916 d3.loss_bbox: 0.1302 d3.loss_iou: 0.2743 d4.loss_cls: 0.2862 d4.loss_bbox: 0.1305 d4.loss_iou: 0.2760 enc_loss_cls: 0.3469 enc_loss_bbox: 0.1530 enc_loss_iou: 0.3072 dn_loss_cls: 0.0756 dn_loss_bbox: 0.1656 dn_loss_iou: 0.2168 d0.dn_loss_cls: 0.1643 d0.dn_loss_bbox: 0.3269 d0.dn_loss_iou: 0.3705 d1.dn_loss_cls: 0.1095 d1.dn_loss_bbox: 0.1997 d1.dn_loss_iou: 0.2510 d2.dn_loss_cls: 0.0933 d2.dn_loss_bbox: 0.1717 d2.dn_loss_iou: 0.2243 d3.dn_loss_cls: 0.0822 d3.dn_loss_bbox: 0.1668 d3.dn_loss_iou: 0.2178 d4.dn_loss_cls: 0.0770 d4.dn_loss_bbox: 0.1656 d4.dn_loss_iou: 0.2168 d1.loss_lmm_region: 0.1323 loss_lmm_image: 0.8542 +2024/11/07 20:18:03 - mmengine - INFO - Iter(train) [ 56300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:03:54 time: 1.0247 data_time: 0.0187 memory: 23885 grad_norm: 21.9401 loss: 10.3613 loss_cls: 0.3279 loss_bbox: 0.1750 loss_iou: 0.2948 d0.loss_cls: 0.3689 d0.loss_bbox: 0.1901 d0.loss_iou: 0.3165 d1.loss_cls: 0.3510 d1.loss_bbox: 0.1728 d1.loss_iou: 0.3018 d2.loss_cls: 0.3395 d2.loss_bbox: 0.1760 d2.loss_iou: 0.3002 d3.loss_cls: 0.3365 d3.loss_bbox: 0.1711 d3.loss_iou: 0.2941 d4.loss_cls: 0.3287 d4.loss_bbox: 0.1751 d4.loss_iou: 0.2952 enc_loss_cls: 0.3813 enc_loss_bbox: 0.2112 enc_loss_iou: 0.3453 dn_loss_cls: 0.0894 dn_loss_bbox: 0.1860 dn_loss_iou: 0.2230 d0.dn_loss_cls: 0.1761 d0.dn_loss_bbox: 0.3274 d0.dn_loss_iou: 0.3678 d1.dn_loss_cls: 0.1171 d1.dn_loss_bbox: 0.2165 d1.dn_loss_iou: 0.2547 d2.dn_loss_cls: 0.1030 d2.dn_loss_bbox: 0.1929 d2.dn_loss_iou: 0.2312 d3.dn_loss_cls: 0.0950 d3.dn_loss_bbox: 0.1874 d3.dn_loss_iou: 0.2242 d4.dn_loss_cls: 0.0898 d4.dn_loss_bbox: 0.1861 d4.dn_loss_iou: 0.2230 d1.loss_lmm_region: 0.1845 loss_lmm_image: 0.8330 +2024/11/07 20:19:45 - mmengine - INFO - Iter(train) [ 56400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:02:08 time: 1.0216 data_time: 0.0186 memory: 24155 grad_norm: 22.4325 loss: 9.5524 loss_cls: 0.2937 loss_bbox: 0.1451 loss_iou: 0.2933 d0.loss_cls: 0.3215 d0.loss_bbox: 0.1630 d0.loss_iou: 0.3120 d1.loss_cls: 0.3083 d1.loss_bbox: 0.1504 d1.loss_iou: 0.3003 d2.loss_cls: 0.3010 d2.loss_bbox: 0.1444 d2.loss_iou: 0.2949 d3.loss_cls: 0.2934 d3.loss_bbox: 0.1471 d3.loss_iou: 0.2964 d4.loss_cls: 0.2929 d4.loss_bbox: 0.1462 d4.loss_iou: 0.2944 enc_loss_cls: 0.3479 enc_loss_bbox: 0.1752 enc_loss_iou: 0.3343 dn_loss_cls: 0.0669 dn_loss_bbox: 0.1540 dn_loss_iou: 0.2245 d0.dn_loss_cls: 0.1548 d0.dn_loss_bbox: 0.3011 d0.dn_loss_iou: 0.3779 d1.dn_loss_cls: 0.0968 d1.dn_loss_bbox: 0.1886 d1.dn_loss_iou: 0.2613 d2.dn_loss_cls: 0.0822 d2.dn_loss_bbox: 0.1641 d2.dn_loss_iou: 0.2347 d3.dn_loss_cls: 0.0729 d3.dn_loss_bbox: 0.1561 d3.dn_loss_iou: 0.2264 d4.dn_loss_cls: 0.0676 d4.dn_loss_bbox: 0.1542 d4.dn_loss_iou: 0.2244 d1.loss_lmm_region: 0.1480 loss_lmm_image: 0.8401 +2024/11/07 20:21:28 - mmengine - INFO - Iter(train) [ 56500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:00:22 time: 1.0309 data_time: 0.0186 memory: 22910 grad_norm: 21.9076 loss: 10.7534 loss_cls: 0.3732 loss_bbox: 0.1564 loss_iou: 0.2928 d0.loss_cls: 0.3978 d0.loss_bbox: 0.1651 d0.loss_iou: 0.3092 d1.loss_cls: 0.3823 d1.loss_bbox: 0.1580 d1.loss_iou: 0.2962 d2.loss_cls: 0.3778 d2.loss_bbox: 0.1543 d2.loss_iou: 0.2898 d3.loss_cls: 0.3805 d3.loss_bbox: 0.1542 d3.loss_iou: 0.2916 d4.loss_cls: 0.3746 d4.loss_bbox: 0.1556 d4.loss_iou: 0.2920 enc_loss_cls: 0.4125 enc_loss_bbox: 0.1824 enc_loss_iou: 0.3318 dn_loss_cls: 0.1309 dn_loss_bbox: 0.1747 dn_loss_iou: 0.2352 d0.dn_loss_cls: 0.2187 d0.dn_loss_bbox: 0.3306 d0.dn_loss_iou: 0.3872 d1.dn_loss_cls: 0.1648 d1.dn_loss_bbox: 0.2086 d1.dn_loss_iou: 0.2684 d2.dn_loss_cls: 0.1491 d2.dn_loss_bbox: 0.1821 d2.dn_loss_iou: 0.2435 d3.dn_loss_cls: 0.1386 d3.dn_loss_bbox: 0.1756 d3.dn_loss_iou: 0.2362 d4.dn_loss_cls: 0.1332 d4.dn_loss_bbox: 0.1747 d4.dn_loss_iou: 0.2352 d1.loss_lmm_region: 0.1660 loss_lmm_image: 0.8717 +2024/11/07 20:23:11 - mmengine - INFO - Iter(train) [ 56600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:58:37 time: 1.0277 data_time: 0.0187 memory: 23742 grad_norm: 22.7670 loss: 10.5113 loss_cls: 0.3269 loss_bbox: 0.1633 loss_iou: 0.2967 d0.loss_cls: 0.3569 d0.loss_bbox: 0.1801 d0.loss_iou: 0.3172 d1.loss_cls: 0.3466 d1.loss_bbox: 0.1694 d1.loss_iou: 0.3013 d2.loss_cls: 0.3383 d2.loss_bbox: 0.1648 d2.loss_iou: 0.2996 d3.loss_cls: 0.3292 d3.loss_bbox: 0.1645 d3.loss_iou: 0.2986 d4.loss_cls: 0.3275 d4.loss_bbox: 0.1632 d4.loss_iou: 0.2980 enc_loss_cls: 0.3784 enc_loss_bbox: 0.1942 enc_loss_iou: 0.3358 dn_loss_cls: 0.0981 dn_loss_bbox: 0.1817 dn_loss_iou: 0.2474 d0.dn_loss_cls: 0.1924 d0.dn_loss_bbox: 0.3522 d0.dn_loss_iou: 0.4133 d1.dn_loss_cls: 0.1330 d1.dn_loss_bbox: 0.2153 d1.dn_loss_iou: 0.2829 d2.dn_loss_cls: 0.1147 d2.dn_loss_bbox: 0.1871 d2.dn_loss_iou: 0.2557 d3.dn_loss_cls: 0.1033 d3.dn_loss_bbox: 0.1819 d3.dn_loss_iou: 0.2483 d4.dn_loss_cls: 0.0981 d4.dn_loss_bbox: 0.1818 d4.dn_loss_iou: 0.2473 d1.loss_lmm_region: 0.1757 loss_lmm_image: 0.8507 +2024/11/07 20:24:54 - mmengine - INFO - Iter(train) [ 56700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:56:51 time: 1.0352 data_time: 0.0186 memory: 24133 grad_norm: 22.1244 loss: 9.4195 loss_cls: 0.3165 loss_bbox: 0.1339 loss_iou: 0.2383 d0.loss_cls: 0.3409 d0.loss_bbox: 0.1464 d0.loss_iou: 0.2541 d1.loss_cls: 0.3265 d1.loss_bbox: 0.1423 d1.loss_iou: 0.2464 d2.loss_cls: 0.3228 d2.loss_bbox: 0.1350 d2.loss_iou: 0.2378 d3.loss_cls: 0.3220 d3.loss_bbox: 0.1327 d3.loss_iou: 0.2363 d4.loss_cls: 0.3177 d4.loss_bbox: 0.1328 d4.loss_iou: 0.2374 enc_loss_cls: 0.3533 enc_loss_bbox: 0.1601 enc_loss_iou: 0.2740 dn_loss_cls: 0.1135 dn_loss_bbox: 0.1720 dn_loss_iou: 0.2093 d0.dn_loss_cls: 0.1850 d0.dn_loss_bbox: 0.3263 d0.dn_loss_iou: 0.3552 d1.dn_loss_cls: 0.1367 d1.dn_loss_bbox: 0.2017 d1.dn_loss_iou: 0.2415 d2.dn_loss_cls: 0.1249 d2.dn_loss_bbox: 0.1790 d2.dn_loss_iou: 0.2171 d3.dn_loss_cls: 0.1150 d3.dn_loss_bbox: 0.1736 d3.dn_loss_iou: 0.2106 d4.dn_loss_cls: 0.1137 d4.dn_loss_bbox: 0.1720 d4.dn_loss_iou: 0.2092 d1.loss_lmm_region: 0.1378 loss_lmm_image: 0.8182 +2024/11/07 20:26:37 - mmengine - INFO - Iter(train) [ 56800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:55:04 time: 1.0181 data_time: 0.0188 memory: 23733 grad_norm: 23.1302 loss: 10.4168 loss_cls: 0.2952 loss_bbox: 0.1664 loss_iou: 0.2803 d0.loss_cls: 0.3332 d0.loss_bbox: 0.1808 d0.loss_iou: 0.2992 d1.loss_cls: 0.3138 d1.loss_bbox: 0.1727 d1.loss_iou: 0.2898 d2.loss_cls: 0.3081 d2.loss_bbox: 0.1704 d2.loss_iou: 0.2847 d3.loss_cls: 0.3069 d3.loss_bbox: 0.1652 d3.loss_iou: 0.2793 d4.loss_cls: 0.2982 d4.loss_bbox: 0.1658 d4.loss_iou: 0.2796 enc_loss_cls: 0.3553 enc_loss_bbox: 0.1968 enc_loss_iou: 0.3226 dn_loss_cls: 0.1089 dn_loss_bbox: 0.2006 dn_loss_iou: 0.2609 d0.dn_loss_cls: 0.2126 d0.dn_loss_bbox: 0.3594 d0.dn_loss_iou: 0.4186 d1.dn_loss_cls: 0.1464 d1.dn_loss_bbox: 0.2324 d1.dn_loss_iou: 0.2918 d2.dn_loss_cls: 0.1249 d2.dn_loss_bbox: 0.2080 d2.dn_loss_iou: 0.2678 d3.dn_loss_cls: 0.1145 d3.dn_loss_bbox: 0.2011 d3.dn_loss_iou: 0.2615 d4.dn_loss_cls: 0.1113 d4.dn_loss_bbox: 0.2005 d4.dn_loss_iou: 0.2608 d1.loss_lmm_region: 0.1879 loss_lmm_image: 0.7831 +2024/11/07 20:28:20 - mmengine - INFO - Iter(train) [ 56900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:53:20 time: 1.0287 data_time: 0.0186 memory: 23473 grad_norm: 25.6525 loss: 10.0333 loss_cls: 0.3179 loss_bbox: 0.1604 loss_iou: 0.2802 d0.loss_cls: 0.3575 d0.loss_bbox: 0.1765 d0.loss_iou: 0.3020 d1.loss_cls: 0.3331 d1.loss_bbox: 0.1714 d1.loss_iou: 0.2930 d2.loss_cls: 0.3325 d2.loss_bbox: 0.1610 d2.loss_iou: 0.2827 d3.loss_cls: 0.3278 d3.loss_bbox: 0.1596 d3.loss_iou: 0.2806 d4.loss_cls: 0.3195 d4.loss_bbox: 0.1590 d4.loss_iou: 0.2792 enc_loss_cls: 0.3782 enc_loss_bbox: 0.1898 enc_loss_iou: 0.3261 dn_loss_cls: 0.0944 dn_loss_bbox: 0.1653 dn_loss_iou: 0.2293 d0.dn_loss_cls: 0.1741 d0.dn_loss_bbox: 0.3334 d0.dn_loss_iou: 0.3940 d1.dn_loss_cls: 0.1193 d1.dn_loss_bbox: 0.2024 d1.dn_loss_iou: 0.2666 d2.dn_loss_cls: 0.1021 d2.dn_loss_bbox: 0.1752 d2.dn_loss_iou: 0.2397 d3.dn_loss_cls: 0.0961 d3.dn_loss_bbox: 0.1668 d3.dn_loss_iou: 0.2307 d4.dn_loss_cls: 0.0930 d4.dn_loss_bbox: 0.1654 d4.dn_loss_iou: 0.2294 d1.loss_lmm_region: 0.1585 loss_lmm_image: 0.8090 +2024/11/07 20:30:03 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/07 20:30:03 - mmengine - INFO - Iter(train) [ 57000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:51:34 time: 1.0302 data_time: 0.0187 memory: 23491 grad_norm: 22.9143 loss: 9.2188 loss_cls: 0.3192 loss_bbox: 0.1225 loss_iou: 0.2346 d0.loss_cls: 0.3530 d0.loss_bbox: 0.1426 d0.loss_iou: 0.2612 d1.loss_cls: 0.3381 d1.loss_bbox: 0.1314 d1.loss_iou: 0.2446 d2.loss_cls: 0.3282 d2.loss_bbox: 0.1246 d2.loss_iou: 0.2380 d3.loss_cls: 0.3217 d3.loss_bbox: 0.1259 d3.loss_iou: 0.2368 d4.loss_cls: 0.3208 d4.loss_bbox: 0.1225 d4.loss_iou: 0.2339 enc_loss_cls: 0.3736 enc_loss_bbox: 0.1543 enc_loss_iou: 0.2845 dn_loss_cls: 0.0933 dn_loss_bbox: 0.1525 dn_loss_iou: 0.2133 d0.dn_loss_cls: 0.1716 d0.dn_loss_bbox: 0.2912 d0.dn_loss_iou: 0.3586 d1.dn_loss_cls: 0.1263 d1.dn_loss_bbox: 0.1818 d1.dn_loss_iou: 0.2453 d2.dn_loss_cls: 0.1102 d2.dn_loss_bbox: 0.1591 d2.dn_loss_iou: 0.2215 d3.dn_loss_cls: 0.0987 d3.dn_loss_bbox: 0.1535 d3.dn_loss_iou: 0.2148 d4.dn_loss_cls: 0.0934 d4.dn_loss_bbox: 0.1526 d4.dn_loss_iou: 0.2133 d1.loss_lmm_region: 0.1433 loss_lmm_image: 0.8124 +2024/11/07 20:31:46 - mmengine - INFO - Iter(train) [ 57100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:49:49 time: 1.0217 data_time: 0.0186 memory: 23518 grad_norm: 23.0841 loss: 9.8198 loss_cls: 0.3077 loss_bbox: 0.1394 loss_iou: 0.2983 d0.loss_cls: 0.3443 d0.loss_bbox: 0.1515 d0.loss_iou: 0.3075 d1.loss_cls: 0.3303 d1.loss_bbox: 0.1396 d1.loss_iou: 0.2980 d2.loss_cls: 0.3196 d2.loss_bbox: 0.1435 d2.loss_iou: 0.3005 d3.loss_cls: 0.3104 d3.loss_bbox: 0.1407 d3.loss_iou: 0.2995 d4.loss_cls: 0.3077 d4.loss_bbox: 0.1397 d4.loss_iou: 0.2980 enc_loss_cls: 0.3547 enc_loss_bbox: 0.1612 enc_loss_iou: 0.3326 dn_loss_cls: 0.0763 dn_loss_bbox: 0.1695 dn_loss_iou: 0.2414 d0.dn_loss_cls: 0.1583 d0.dn_loss_bbox: 0.3178 d0.dn_loss_iou: 0.3930 d1.dn_loss_cls: 0.1077 d1.dn_loss_bbox: 0.2027 d1.dn_loss_iou: 0.2750 d2.dn_loss_cls: 0.0918 d2.dn_loss_bbox: 0.1777 d2.dn_loss_iou: 0.2492 d3.dn_loss_cls: 0.0825 d3.dn_loss_bbox: 0.1711 d3.dn_loss_iou: 0.2427 d4.dn_loss_cls: 0.0775 d4.dn_loss_bbox: 0.1696 d4.dn_loss_iou: 0.2414 d1.loss_lmm_region: 0.1277 loss_lmm_image: 0.8221 +2024/11/07 20:33:30 - mmengine - INFO - Iter(train) [ 57200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:48:04 time: 1.0441 data_time: 0.0186 memory: 24087 grad_norm: 20.9720 loss: 10.1073 loss_cls: 0.3208 loss_bbox: 0.1527 loss_iou: 0.3009 d0.loss_cls: 0.3541 d0.loss_bbox: 0.1737 d0.loss_iou: 0.3219 d1.loss_cls: 0.3373 d1.loss_bbox: 0.1599 d1.loss_iou: 0.3058 d2.loss_cls: 0.3285 d2.loss_bbox: 0.1573 d2.loss_iou: 0.3008 d3.loss_cls: 0.3248 d3.loss_bbox: 0.1532 d3.loss_iou: 0.2991 d4.loss_cls: 0.3215 d4.loss_bbox: 0.1541 d4.loss_iou: 0.2999 enc_loss_cls: 0.3740 enc_loss_bbox: 0.1851 enc_loss_iou: 0.3420 dn_loss_cls: 0.0883 dn_loss_bbox: 0.1755 dn_loss_iou: 0.2245 d0.dn_loss_cls: 0.1706 d0.dn_loss_bbox: 0.3415 d0.dn_loss_iou: 0.3846 d1.dn_loss_cls: 0.1180 d1.dn_loss_bbox: 0.2148 d1.dn_loss_iou: 0.2628 d2.dn_loss_cls: 0.1015 d2.dn_loss_bbox: 0.1854 d2.dn_loss_iou: 0.2340 d3.dn_loss_cls: 0.0941 d3.dn_loss_bbox: 0.1764 d3.dn_loss_iou: 0.2258 d4.dn_loss_cls: 0.0895 d4.dn_loss_bbox: 0.1755 d4.dn_loss_iou: 0.2243 d1.loss_lmm_region: 0.1407 loss_lmm_image: 0.8119 +2024/11/07 20:35:13 - mmengine - INFO - Iter(train) [ 57300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:46:18 time: 1.0258 data_time: 0.0187 memory: 23941 grad_norm: 22.6053 loss: 10.2298 loss_cls: 0.3411 loss_bbox: 0.1536 loss_iou: 0.2653 d0.loss_cls: 0.3735 d0.loss_bbox: 0.1674 d0.loss_iou: 0.2808 d1.loss_cls: 0.3562 d1.loss_bbox: 0.1612 d1.loss_iou: 0.2730 d2.loss_cls: 0.3426 d2.loss_bbox: 0.1594 d2.loss_iou: 0.2730 d3.loss_cls: 0.3422 d3.loss_bbox: 0.1556 d3.loss_iou: 0.2689 d4.loss_cls: 0.3405 d4.loss_bbox: 0.1548 d4.loss_iou: 0.2667 enc_loss_cls: 0.3894 enc_loss_bbox: 0.1796 enc_loss_iou: 0.2987 dn_loss_cls: 0.1088 dn_loss_bbox: 0.1776 dn_loss_iou: 0.2392 d0.dn_loss_cls: 0.2034 d0.dn_loss_bbox: 0.3396 d0.dn_loss_iou: 0.3932 d1.dn_loss_cls: 0.1458 d1.dn_loss_bbox: 0.2110 d1.dn_loss_iou: 0.2715 d2.dn_loss_cls: 0.1276 d2.dn_loss_bbox: 0.1884 d2.dn_loss_iou: 0.2485 d3.dn_loss_cls: 0.1174 d3.dn_loss_bbox: 0.1793 d3.dn_loss_iou: 0.2407 d4.dn_loss_cls: 0.1102 d4.dn_loss_bbox: 0.1775 d4.dn_loss_iou: 0.2392 d1.loss_lmm_region: 0.1746 loss_lmm_image: 0.7930 +2024/11/07 20:36:55 - mmengine - INFO - Iter(train) [ 57400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:44:32 time: 1.0286 data_time: 0.0186 memory: 23671 grad_norm: 21.5689 loss: 9.1610 loss_cls: 0.2988 loss_bbox: 0.1259 loss_iou: 0.2413 d0.loss_cls: 0.3309 d0.loss_bbox: 0.1383 d0.loss_iou: 0.2565 d1.loss_cls: 0.3116 d1.loss_bbox: 0.1326 d1.loss_iou: 0.2490 d2.loss_cls: 0.3005 d2.loss_bbox: 0.1316 d2.loss_iou: 0.2470 d3.loss_cls: 0.2993 d3.loss_bbox: 0.1268 d3.loss_iou: 0.2425 d4.loss_cls: 0.2970 d4.loss_bbox: 0.1273 d4.loss_iou: 0.2426 enc_loss_cls: 0.3469 enc_loss_bbox: 0.1559 enc_loss_iou: 0.2811 dn_loss_cls: 0.0953 dn_loss_bbox: 0.1560 dn_loss_iou: 0.2067 d0.dn_loss_cls: 0.1840 d0.dn_loss_bbox: 0.3121 d0.dn_loss_iou: 0.3588 d1.dn_loss_cls: 0.1259 d1.dn_loss_bbox: 0.1956 d1.dn_loss_iou: 0.2428 d2.dn_loss_cls: 0.1107 d2.dn_loss_bbox: 0.1678 d2.dn_loss_iou: 0.2163 d3.dn_loss_cls: 0.1011 d3.dn_loss_bbox: 0.1586 d3.dn_loss_iou: 0.2083 d4.dn_loss_cls: 0.0955 d4.dn_loss_bbox: 0.1559 d4.dn_loss_iou: 0.2067 d1.loss_lmm_region: 0.1499 loss_lmm_image: 0.8298 +2024/11/07 20:38:39 - mmengine - INFO - Iter(train) [ 57500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:42:47 time: 1.0377 data_time: 0.0186 memory: 23753 grad_norm: 20.6087 loss: 9.5156 loss_cls: 0.2756 loss_bbox: 0.1649 loss_iou: 0.2647 d0.loss_cls: 0.3088 d0.loss_bbox: 0.1714 d0.loss_iou: 0.2778 d1.loss_cls: 0.2903 d1.loss_bbox: 0.1632 d1.loss_iou: 0.2695 d2.loss_cls: 0.2872 d2.loss_bbox: 0.1659 d2.loss_iou: 0.2665 d3.loss_cls: 0.2774 d3.loss_bbox: 0.1665 d3.loss_iou: 0.2655 d4.loss_cls: 0.2774 d4.loss_bbox: 0.1642 d4.loss_iou: 0.2636 enc_loss_cls: 0.3233 enc_loss_bbox: 0.1827 enc_loss_iou: 0.2990 dn_loss_cls: 0.0894 dn_loss_bbox: 0.1744 dn_loss_iou: 0.2193 d0.dn_loss_cls: 0.1810 d0.dn_loss_bbox: 0.3206 d0.dn_loss_iou: 0.3695 d1.dn_loss_cls: 0.1242 d1.dn_loss_bbox: 0.2002 d1.dn_loss_iou: 0.2492 d2.dn_loss_cls: 0.1022 d2.dn_loss_bbox: 0.1801 d2.dn_loss_iou: 0.2266 d3.dn_loss_cls: 0.0947 d3.dn_loss_bbox: 0.1762 d3.dn_loss_iou: 0.2207 d4.dn_loss_cls: 0.0898 d4.dn_loss_bbox: 0.1746 d4.dn_loss_iou: 0.2192 d1.loss_lmm_region: 0.1520 loss_lmm_image: 0.8263 +2024/11/07 20:40:22 - mmengine - INFO - Iter(train) [ 57600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:41:03 time: 1.0314 data_time: 0.0186 memory: 23488 grad_norm: 25.1736 loss: 9.0970 loss_cls: 0.2882 loss_bbox: 0.1312 loss_iou: 0.2339 d0.loss_cls: 0.3151 d0.loss_bbox: 0.1497 d0.loss_iou: 0.2520 d1.loss_cls: 0.3082 d1.loss_bbox: 0.1340 d1.loss_iou: 0.2392 d2.loss_cls: 0.2986 d2.loss_bbox: 0.1324 d2.loss_iou: 0.2367 d3.loss_cls: 0.2895 d3.loss_bbox: 0.1356 d3.loss_iou: 0.2371 d4.loss_cls: 0.2908 d4.loss_bbox: 0.1321 d4.loss_iou: 0.2356 enc_loss_cls: 0.3387 enc_loss_bbox: 0.1569 enc_loss_iou: 0.2666 dn_loss_cls: 0.1013 dn_loss_bbox: 0.1547 dn_loss_iou: 0.2095 d0.dn_loss_cls: 0.1913 d0.dn_loss_bbox: 0.2984 d0.dn_loss_iou: 0.3559 d1.dn_loss_cls: 0.1388 d1.dn_loss_bbox: 0.1892 d1.dn_loss_iou: 0.2423 d2.dn_loss_cls: 0.1213 d2.dn_loss_bbox: 0.1611 d2.dn_loss_iou: 0.2170 d3.dn_loss_cls: 0.1099 d3.dn_loss_bbox: 0.1560 d3.dn_loss_iou: 0.2111 d4.dn_loss_cls: 0.1032 d4.dn_loss_bbox: 0.1548 d4.dn_loss_iou: 0.2095 d1.loss_lmm_region: 0.1456 loss_lmm_image: 0.8239 +2024/11/07 20:42:05 - mmengine - INFO - Iter(train) [ 57700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:39:16 time: 1.0151 data_time: 0.0187 memory: 22927 grad_norm: 22.4424 loss: 9.4100 loss_cls: 0.2954 loss_bbox: 0.1418 loss_iou: 0.2494 d0.loss_cls: 0.3217 d0.loss_bbox: 0.1571 d0.loss_iou: 0.2660 d1.loss_cls: 0.3135 d1.loss_bbox: 0.1433 d1.loss_iou: 0.2520 d2.loss_cls: 0.3078 d2.loss_bbox: 0.1410 d2.loss_iou: 0.2492 d3.loss_cls: 0.2991 d3.loss_bbox: 0.1424 d3.loss_iou: 0.2481 d4.loss_cls: 0.2963 d4.loss_bbox: 0.1414 d4.loss_iou: 0.2494 enc_loss_cls: 0.3443 enc_loss_bbox: 0.1656 enc_loss_iou: 0.2849 dn_loss_cls: 0.0997 dn_loss_bbox: 0.1617 dn_loss_iou: 0.2175 d0.dn_loss_cls: 0.1903 d0.dn_loss_bbox: 0.3208 d0.dn_loss_iou: 0.3739 d1.dn_loss_cls: 0.1351 d1.dn_loss_bbox: 0.1901 d1.dn_loss_iou: 0.2493 d2.dn_loss_cls: 0.1195 d2.dn_loss_bbox: 0.1682 d2.dn_loss_iou: 0.2245 d3.dn_loss_cls: 0.1068 d3.dn_loss_bbox: 0.1620 d3.dn_loss_iou: 0.2184 d4.dn_loss_cls: 0.0997 d4.dn_loss_bbox: 0.1615 d4.dn_loss_iou: 0.2173 d1.loss_lmm_region: 0.1772 loss_lmm_image: 0.8070 +2024/11/07 20:43:48 - mmengine - INFO - Iter(train) [ 57800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:37:31 time: 1.0367 data_time: 0.0189 memory: 22997 grad_norm: 20.9387 loss: 8.3897 loss_cls: 0.2719 loss_bbox: 0.1095 loss_iou: 0.2194 d0.loss_cls: 0.3023 d0.loss_bbox: 0.1218 d0.loss_iou: 0.2412 d1.loss_cls: 0.2852 d1.loss_bbox: 0.1144 d1.loss_iou: 0.2280 d2.loss_cls: 0.2813 d2.loss_bbox: 0.1111 d2.loss_iou: 0.2244 d3.loss_cls: 0.2763 d3.loss_bbox: 0.1088 d3.loss_iou: 0.2200 d4.loss_cls: 0.2735 d4.loss_bbox: 0.1073 d4.loss_iou: 0.2192 enc_loss_cls: 0.3206 enc_loss_bbox: 0.1323 enc_loss_iou: 0.2614 dn_loss_cls: 0.0858 dn_loss_bbox: 0.1315 dn_loss_iou: 0.1945 d0.dn_loss_cls: 0.1716 d0.dn_loss_bbox: 0.2756 d0.dn_loss_iou: 0.3368 d1.dn_loss_cls: 0.1131 d1.dn_loss_bbox: 0.1652 d1.dn_loss_iou: 0.2262 d2.dn_loss_cls: 0.0989 d2.dn_loss_bbox: 0.1402 d2.dn_loss_iou: 0.2015 d3.dn_loss_cls: 0.0899 d3.dn_loss_bbox: 0.1325 d3.dn_loss_iou: 0.1953 d4.dn_loss_cls: 0.0865 d4.dn_loss_bbox: 0.1316 d4.dn_loss_iou: 0.1947 d1.loss_lmm_region: 0.1490 loss_lmm_image: 0.8392 +2024/11/07 20:45:31 - mmengine - INFO - Iter(train) [ 57900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:35:45 time: 1.0313 data_time: 0.0186 memory: 23755 grad_norm: 23.0280 loss: 10.2077 loss_cls: 0.3264 loss_bbox: 0.1519 loss_iou: 0.3010 d0.loss_cls: 0.3670 d0.loss_bbox: 0.1598 d0.loss_iou: 0.3129 d1.loss_cls: 0.3505 d1.loss_bbox: 0.1509 d1.loss_iou: 0.3006 d2.loss_cls: 0.3350 d2.loss_bbox: 0.1548 d2.loss_iou: 0.3039 d3.loss_cls: 0.3332 d3.loss_bbox: 0.1521 d3.loss_iou: 0.2984 d4.loss_cls: 0.3283 d4.loss_bbox: 0.1495 d4.loss_iou: 0.3000 enc_loss_cls: 0.3816 enc_loss_bbox: 0.1769 enc_loss_iou: 0.3404 dn_loss_cls: 0.1091 dn_loss_bbox: 0.1577 dn_loss_iou: 0.2338 d0.dn_loss_cls: 0.1869 d0.dn_loss_bbox: 0.2985 d0.dn_loss_iou: 0.3846 d1.dn_loss_cls: 0.1309 d1.dn_loss_bbox: 0.1870 d1.dn_loss_iou: 0.2674 d2.dn_loss_cls: 0.1163 d2.dn_loss_bbox: 0.1645 d2.dn_loss_iou: 0.2427 d3.dn_loss_cls: 0.1108 d3.dn_loss_bbox: 0.1579 d3.dn_loss_iou: 0.2352 d4.dn_loss_cls: 0.1102 d4.dn_loss_bbox: 0.1577 d4.dn_loss_iou: 0.2339 d1.loss_lmm_region: 0.1670 loss_lmm_image: 0.8807 +2024/11/07 20:47:14 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/07 20:47:14 - mmengine - INFO - Iter(train) [ 58000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:34:00 time: 1.0224 data_time: 0.0187 memory: 23034 grad_norm: 22.5430 loss: 8.5174 loss_cls: 0.2561 loss_bbox: 0.1132 loss_iou: 0.2028 d0.loss_cls: 0.2848 d0.loss_bbox: 0.1265 d0.loss_iou: 0.2223 d1.loss_cls: 0.2723 d1.loss_bbox: 0.1172 d1.loss_iou: 0.2116 d2.loss_cls: 0.2705 d2.loss_bbox: 0.1117 d2.loss_iou: 0.2034 d3.loss_cls: 0.2631 d3.loss_bbox: 0.1115 d3.loss_iou: 0.2020 d4.loss_cls: 0.2579 d4.loss_bbox: 0.1131 d4.loss_iou: 0.2029 enc_loss_cls: 0.3054 enc_loss_bbox: 0.1390 enc_loss_iou: 0.2385 dn_loss_cls: 0.0930 dn_loss_bbox: 0.1614 dn_loss_iou: 0.2041 d0.dn_loss_cls: 0.1897 d0.dn_loss_bbox: 0.3234 d0.dn_loss_iou: 0.3526 d1.dn_loss_cls: 0.1273 d1.dn_loss_bbox: 0.1984 d1.dn_loss_iou: 0.2380 d2.dn_loss_cls: 0.1096 d2.dn_loss_bbox: 0.1709 d2.dn_loss_iou: 0.2125 d3.dn_loss_cls: 0.0990 d3.dn_loss_bbox: 0.1632 d3.dn_loss_iou: 0.2052 d4.dn_loss_cls: 0.0936 d4.dn_loss_bbox: 0.1613 d4.dn_loss_iou: 0.2040 d1.loss_lmm_region: 0.1614 loss_lmm_image: 0.8228 +2024/11/07 20:48:57 - mmengine - INFO - Iter(train) [ 58100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:32:14 time: 1.0292 data_time: 0.0185 memory: 23069 grad_norm: 24.6712 loss: 10.3646 loss_cls: 0.3186 loss_bbox: 0.1785 loss_iou: 0.2736 d0.loss_cls: 0.3579 d0.loss_bbox: 0.1923 d0.loss_iou: 0.2906 d1.loss_cls: 0.3427 d1.loss_bbox: 0.1816 d1.loss_iou: 0.2782 d2.loss_cls: 0.3337 d2.loss_bbox: 0.1783 d2.loss_iou: 0.2743 d3.loss_cls: 0.3244 d3.loss_bbox: 0.1809 d3.loss_iou: 0.2748 d4.loss_cls: 0.3184 d4.loss_bbox: 0.1792 d4.loss_iou: 0.2738 enc_loss_cls: 0.3799 enc_loss_bbox: 0.2019 enc_loss_iou: 0.3096 dn_loss_cls: 0.0835 dn_loss_bbox: 0.1991 dn_loss_iou: 0.2441 d0.dn_loss_cls: 0.1898 d0.dn_loss_bbox: 0.3757 d0.dn_loss_iou: 0.3964 d1.dn_loss_cls: 0.1269 d1.dn_loss_bbox: 0.2412 d1.dn_loss_iou: 0.2793 d2.dn_loss_cls: 0.1027 d2.dn_loss_bbox: 0.2126 d2.dn_loss_iou: 0.2549 d3.dn_loss_cls: 0.0902 d3.dn_loss_bbox: 0.2007 d3.dn_loss_iou: 0.2455 d4.dn_loss_cls: 0.0850 d4.dn_loss_bbox: 0.1990 d4.dn_loss_iou: 0.2440 d1.loss_lmm_region: 0.1644 loss_lmm_image: 0.7867 +2024/11/07 20:50:40 - mmengine - INFO - Iter(train) [ 58200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:30:29 time: 1.0353 data_time: 0.0186 memory: 24532 grad_norm: 21.0936 loss: 9.4900 loss_cls: 0.3029 loss_bbox: 0.1455 loss_iou: 0.2746 d0.loss_cls: 0.3279 d0.loss_bbox: 0.1602 d0.loss_iou: 0.2915 d1.loss_cls: 0.3163 d1.loss_bbox: 0.1562 d1.loss_iou: 0.2826 d2.loss_cls: 0.3107 d2.loss_bbox: 0.1466 d2.loss_iou: 0.2748 d3.loss_cls: 0.3060 d3.loss_bbox: 0.1473 d3.loss_iou: 0.2764 d4.loss_cls: 0.3036 d4.loss_bbox: 0.1468 d4.loss_iou: 0.2758 enc_loss_cls: 0.3537 enc_loss_bbox: 0.1717 enc_loss_iou: 0.3124 dn_loss_cls: 0.0727 dn_loss_bbox: 0.1671 dn_loss_iou: 0.2235 d0.dn_loss_cls: 0.1526 d0.dn_loss_bbox: 0.3003 d0.dn_loss_iou: 0.3621 d1.dn_loss_cls: 0.1004 d1.dn_loss_bbox: 0.1964 d1.dn_loss_iou: 0.2553 d2.dn_loss_cls: 0.0840 d2.dn_loss_bbox: 0.1744 d2.dn_loss_iou: 0.2318 d3.dn_loss_cls: 0.0771 d3.dn_loss_bbox: 0.1667 d3.dn_loss_iou: 0.2239 d4.dn_loss_cls: 0.0739 d4.dn_loss_bbox: 0.1670 d4.dn_loss_iou: 0.2234 d1.loss_lmm_region: 0.1316 loss_lmm_image: 0.8223 +2024/11/07 20:52:23 - mmengine - INFO - Iter(train) [ 58300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:28:44 time: 1.0180 data_time: 0.0187 memory: 24204 grad_norm: 23.9211 loss: 9.5375 loss_cls: 0.2767 loss_bbox: 0.1501 loss_iou: 0.2549 d0.loss_cls: 0.3024 d0.loss_bbox: 0.1734 d0.loss_iou: 0.2755 d1.loss_cls: 0.2884 d1.loss_bbox: 0.1615 d1.loss_iou: 0.2632 d2.loss_cls: 0.2832 d2.loss_bbox: 0.1551 d2.loss_iou: 0.2549 d3.loss_cls: 0.2791 d3.loss_bbox: 0.1515 d3.loss_iou: 0.2548 d4.loss_cls: 0.2771 d4.loss_bbox: 0.1497 d4.loss_iou: 0.2550 enc_loss_cls: 0.3253 enc_loss_bbox: 0.1788 enc_loss_iou: 0.2895 dn_loss_cls: 0.0885 dn_loss_bbox: 0.1885 dn_loss_iou: 0.2284 d0.dn_loss_cls: 0.1670 d0.dn_loss_bbox: 0.3598 d0.dn_loss_iou: 0.3778 d1.dn_loss_cls: 0.1164 d1.dn_loss_bbox: 0.2270 d1.dn_loss_iou: 0.2611 d2.dn_loss_cls: 0.1020 d2.dn_loss_bbox: 0.2000 d2.dn_loss_iou: 0.2384 d3.dn_loss_cls: 0.0944 d3.dn_loss_bbox: 0.1900 d3.dn_loss_iou: 0.2298 d4.dn_loss_cls: 0.0887 d4.dn_loss_bbox: 0.1886 d4.dn_loss_iou: 0.2285 d1.loss_lmm_region: 0.1586 loss_lmm_image: 0.8035 +2024/11/07 20:54:06 - mmengine - INFO - Iter(train) [ 58400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:26:58 time: 1.0246 data_time: 0.0189 memory: 23518 grad_norm: 20.9289 loss: 9.3960 loss_cls: 0.2671 loss_bbox: 0.1299 loss_iou: 0.2521 d0.loss_cls: 0.3007 d0.loss_bbox: 0.1501 d0.loss_iou: 0.2695 d1.loss_cls: 0.2889 d1.loss_bbox: 0.1339 d1.loss_iou: 0.2555 d2.loss_cls: 0.2805 d2.loss_bbox: 0.1323 d2.loss_iou: 0.2529 d3.loss_cls: 0.2710 d3.loss_bbox: 0.1308 d3.loss_iou: 0.2527 d4.loss_cls: 0.2664 d4.loss_bbox: 0.1307 d4.loss_iou: 0.2527 enc_loss_cls: 0.3180 enc_loss_bbox: 0.1633 enc_loss_iou: 0.2936 dn_loss_cls: 0.0932 dn_loss_bbox: 0.1782 dn_loss_iou: 0.2358 d0.dn_loss_cls: 0.1879 d0.dn_loss_bbox: 0.3664 d0.dn_loss_iou: 0.4022 d1.dn_loss_cls: 0.1313 d1.dn_loss_bbox: 0.2227 d1.dn_loss_iou: 0.2759 d2.dn_loss_cls: 0.1123 d2.dn_loss_bbox: 0.1901 d2.dn_loss_iou: 0.2465 d3.dn_loss_cls: 0.0990 d3.dn_loss_bbox: 0.1798 d3.dn_loss_iou: 0.2374 d4.dn_loss_cls: 0.0947 d4.dn_loss_bbox: 0.1782 d4.dn_loss_iou: 0.2358 d1.loss_lmm_region: 0.1493 loss_lmm_image: 0.7863 +2024/11/07 20:55:49 - mmengine - INFO - Iter(train) [ 58500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:25:13 time: 1.0255 data_time: 0.0185 memory: 23996 grad_norm: 23.0701 loss: 10.3903 loss_cls: 0.3363 loss_bbox: 0.1692 loss_iou: 0.2761 d0.loss_cls: 0.3808 d0.loss_bbox: 0.1813 d0.loss_iou: 0.2939 d1.loss_cls: 0.3571 d1.loss_bbox: 0.1720 d1.loss_iou: 0.2842 d2.loss_cls: 0.3488 d2.loss_bbox: 0.1677 d2.loss_iou: 0.2783 d3.loss_cls: 0.3476 d3.loss_bbox: 0.1632 d3.loss_iou: 0.2736 d4.loss_cls: 0.3412 d4.loss_bbox: 0.1661 d4.loss_iou: 0.2751 enc_loss_cls: 0.3961 enc_loss_bbox: 0.1910 enc_loss_iou: 0.3134 dn_loss_cls: 0.1002 dn_loss_bbox: 0.1950 dn_loss_iou: 0.2315 d0.dn_loss_cls: 0.1905 d0.dn_loss_bbox: 0.3399 d0.dn_loss_iou: 0.3759 d1.dn_loss_cls: 0.1365 d1.dn_loss_bbox: 0.2258 d1.dn_loss_iou: 0.2666 d2.dn_loss_cls: 0.1147 d2.dn_loss_bbox: 0.2029 d2.dn_loss_iou: 0.2409 d3.dn_loss_cls: 0.1056 d3.dn_loss_bbox: 0.1959 d3.dn_loss_iou: 0.2328 d4.dn_loss_cls: 0.1006 d4.dn_loss_bbox: 0.1950 d4.dn_loss_iou: 0.2314 d1.loss_lmm_region: 0.1695 loss_lmm_image: 0.8264 +2024/11/07 20:57:33 - mmengine - INFO - Iter(train) [ 58600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:23:29 time: 1.0442 data_time: 0.0185 memory: 23578 grad_norm: 20.2168 loss: 11.0332 loss_cls: 0.3665 loss_bbox: 0.1739 loss_iou: 0.3485 d0.loss_cls: 0.3950 d0.loss_bbox: 0.1945 d0.loss_iou: 0.3748 d1.loss_cls: 0.3779 d1.loss_bbox: 0.1799 d1.loss_iou: 0.3571 d2.loss_cls: 0.3754 d2.loss_bbox: 0.1743 d2.loss_iou: 0.3526 d3.loss_cls: 0.3679 d3.loss_bbox: 0.1746 d3.loss_iou: 0.3492 d4.loss_cls: 0.3662 d4.loss_bbox: 0.1721 d4.loss_iou: 0.3482 enc_loss_cls: 0.4100 enc_loss_bbox: 0.2036 enc_loss_iou: 0.3916 dn_loss_cls: 0.0889 dn_loss_bbox: 0.1762 dn_loss_iou: 0.2430 d0.dn_loss_cls: 0.1721 d0.dn_loss_bbox: 0.3243 d0.dn_loss_iou: 0.3962 d1.dn_loss_cls: 0.1191 d1.dn_loss_bbox: 0.2115 d1.dn_loss_iou: 0.2793 d2.dn_loss_cls: 0.1033 d2.dn_loss_bbox: 0.1870 d2.dn_loss_iou: 0.2542 d3.dn_loss_cls: 0.0917 d3.dn_loss_bbox: 0.1780 d3.dn_loss_iou: 0.2447 d4.dn_loss_cls: 0.0887 d4.dn_loss_bbox: 0.1762 d4.dn_loss_iou: 0.2432 d1.loss_lmm_region: 0.1577 loss_lmm_image: 0.8439 +2024/11/07 20:59:16 - mmengine - INFO - Iter(train) [ 58700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:21:43 time: 1.0392 data_time: 0.0186 memory: 23028 grad_norm: 26.8125 loss: 9.3499 loss_cls: 0.2951 loss_bbox: 0.1271 loss_iou: 0.2413 d0.loss_cls: 0.3263 d0.loss_bbox: 0.1416 d0.loss_iou: 0.2645 d1.loss_cls: 0.3103 d1.loss_bbox: 0.1305 d1.loss_iou: 0.2469 d2.loss_cls: 0.3067 d2.loss_bbox: 0.1254 d2.loss_iou: 0.2423 d3.loss_cls: 0.3071 d3.loss_bbox: 0.1228 d3.loss_iou: 0.2353 d4.loss_cls: 0.2972 d4.loss_bbox: 0.1262 d4.loss_iou: 0.2385 enc_loss_cls: 0.3518 enc_loss_bbox: 0.1532 enc_loss_iou: 0.2788 dn_loss_cls: 0.0872 dn_loss_bbox: 0.1764 dn_loss_iou: 0.2223 d0.dn_loss_cls: 0.1855 d0.dn_loss_bbox: 0.3359 d0.dn_loss_iou: 0.3710 d1.dn_loss_cls: 0.1227 d1.dn_loss_bbox: 0.2133 d1.dn_loss_iou: 0.2583 d2.dn_loss_cls: 0.1022 d2.dn_loss_bbox: 0.1841 d2.dn_loss_iou: 0.2309 d3.dn_loss_cls: 0.0913 d3.dn_loss_bbox: 0.1767 d3.dn_loss_iou: 0.2229 d4.dn_loss_cls: 0.0872 d4.dn_loss_bbox: 0.1765 d4.dn_loss_iou: 0.2224 d1.loss_lmm_region: 0.1659 loss_lmm_image: 0.8485 +2024/11/07 21:01:00 - mmengine - INFO - Iter(train) [ 58800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:20:00 time: 1.0361 data_time: 0.0185 memory: 24415 grad_norm: 22.5887 loss: 10.2071 loss_cls: 0.3204 loss_bbox: 0.1497 loss_iou: 0.2980 d0.loss_cls: 0.3607 d0.loss_bbox: 0.1667 d0.loss_iou: 0.3140 d1.loss_cls: 0.3368 d1.loss_bbox: 0.1599 d1.loss_iou: 0.3058 d2.loss_cls: 0.3291 d2.loss_bbox: 0.1561 d2.loss_iou: 0.3031 d3.loss_cls: 0.3298 d3.loss_bbox: 0.1481 d3.loss_iou: 0.2962 d4.loss_cls: 0.3223 d4.loss_bbox: 0.1495 d4.loss_iou: 0.2967 enc_loss_cls: 0.3739 enc_loss_bbox: 0.1827 enc_loss_iou: 0.3442 dn_loss_cls: 0.0956 dn_loss_bbox: 0.1814 dn_loss_iou: 0.2414 d0.dn_loss_cls: 0.1826 d0.dn_loss_bbox: 0.3322 d0.dn_loss_iou: 0.3923 d1.dn_loss_cls: 0.1240 d1.dn_loss_bbox: 0.2101 d1.dn_loss_iou: 0.2722 d2.dn_loss_cls: 0.1073 d2.dn_loss_bbox: 0.1878 d2.dn_loss_iou: 0.2484 d3.dn_loss_cls: 0.1011 d3.dn_loss_bbox: 0.1824 d3.dn_loss_iou: 0.2428 d4.dn_loss_cls: 0.0952 d4.dn_loss_bbox: 0.1813 d4.dn_loss_iou: 0.2414 d1.loss_lmm_region: 0.1301 loss_lmm_image: 0.8136 +2024/11/07 21:02:43 - mmengine - INFO - Iter(train) [ 58900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:18:14 time: 1.0270 data_time: 0.0184 memory: 24564 grad_norm: 48.1628 loss: 9.9134 loss_cls: 0.2898 loss_bbox: 0.1575 loss_iou: 0.2595 d0.loss_cls: 0.3128 d0.loss_bbox: 0.1769 d0.loss_iou: 0.2839 d1.loss_cls: 0.3082 d1.loss_bbox: 0.1610 d1.loss_iou: 0.2627 d2.loss_cls: 0.2945 d2.loss_bbox: 0.1638 d2.loss_iou: 0.2642 d3.loss_cls: 0.2965 d3.loss_bbox: 0.1579 d3.loss_iou: 0.2592 d4.loss_cls: 0.2894 d4.loss_bbox: 0.1596 d4.loss_iou: 0.2608 enc_loss_cls: 0.3272 enc_loss_bbox: 0.1837 enc_loss_iou: 0.3002 dn_loss_cls: 0.0986 dn_loss_bbox: 0.1968 dn_loss_iou: 0.2430 d0.dn_loss_cls: 0.1943 d0.dn_loss_bbox: 0.3568 d0.dn_loss_iou: 0.3994 d1.dn_loss_cls: 0.1366 d1.dn_loss_bbox: 0.2294 d1.dn_loss_iou: 0.2771 d2.dn_loss_cls: 0.1155 d2.dn_loss_bbox: 0.2041 d2.dn_loss_iou: 0.2511 d3.dn_loss_cls: 0.1056 d3.dn_loss_bbox: 0.1984 d3.dn_loss_iou: 0.2445 d4.dn_loss_cls: 0.0995 d4.dn_loss_bbox: 0.1967 d4.dn_loss_iou: 0.2430 d1.loss_lmm_region: 0.1592 loss_lmm_image: 0.7946 +2024/11/07 21:04:26 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/07 21:04:26 - mmengine - INFO - Iter(train) [ 59000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:16:28 time: 1.0301 data_time: 0.0185 memory: 23845 grad_norm: 21.0440 loss: 9.9076 loss_cls: 0.3058 loss_bbox: 0.1587 loss_iou: 0.2680 d0.loss_cls: 0.3342 d0.loss_bbox: 0.1716 d0.loss_iou: 0.2842 d1.loss_cls: 0.3183 d1.loss_bbox: 0.1616 d1.loss_iou: 0.2761 d2.loss_cls: 0.3133 d2.loss_bbox: 0.1597 d2.loss_iou: 0.2717 d3.loss_cls: 0.3024 d3.loss_bbox: 0.1624 d3.loss_iou: 0.2725 d4.loss_cls: 0.3047 d4.loss_bbox: 0.1586 d4.loss_iou: 0.2690 enc_loss_cls: 0.3534 enc_loss_bbox: 0.1848 enc_loss_iou: 0.3063 dn_loss_cls: 0.0863 dn_loss_bbox: 0.1917 dn_loss_iou: 0.2305 d0.dn_loss_cls: 0.1793 d0.dn_loss_bbox: 0.3330 d0.dn_loss_iou: 0.3753 d1.dn_loss_cls: 0.1224 d1.dn_loss_bbox: 0.2262 d1.dn_loss_iou: 0.2665 d2.dn_loss_cls: 0.1055 d2.dn_loss_bbox: 0.2008 d2.dn_loss_iou: 0.2400 d3.dn_loss_cls: 0.0915 d3.dn_loss_bbox: 0.1932 d3.dn_loss_iou: 0.2326 d4.dn_loss_cls: 0.0880 d4.dn_loss_bbox: 0.1916 d4.dn_loss_iou: 0.2305 d1.loss_lmm_region: 0.1553 loss_lmm_image: 0.8301 +2024/11/07 21:06:09 - mmengine - INFO - Iter(train) [ 59100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:14:43 time: 1.0261 data_time: 0.0186 memory: 23739 grad_norm: 23.0950 loss: 9.3947 loss_cls: 0.3156 loss_bbox: 0.1322 loss_iou: 0.2578 d0.loss_cls: 0.3489 d0.loss_bbox: 0.1463 d0.loss_iou: 0.2744 d1.loss_cls: 0.3315 d1.loss_bbox: 0.1404 d1.loss_iou: 0.2646 d2.loss_cls: 0.3303 d2.loss_bbox: 0.1283 d2.loss_iou: 0.2557 d3.loss_cls: 0.3236 d3.loss_bbox: 0.1294 d3.loss_iou: 0.2549 d4.loss_cls: 0.3220 d4.loss_bbox: 0.1288 d4.loss_iou: 0.2557 enc_loss_cls: 0.3698 enc_loss_bbox: 0.1586 enc_loss_iou: 0.2934 dn_loss_cls: 0.0901 dn_loss_bbox: 0.1528 dn_loss_iou: 0.2103 d0.dn_loss_cls: 0.1745 d0.dn_loss_bbox: 0.2997 d0.dn_loss_iou: 0.3591 d1.dn_loss_cls: 0.1194 d1.dn_loss_bbox: 0.1850 d1.dn_loss_iou: 0.2429 d2.dn_loss_cls: 0.1025 d2.dn_loss_bbox: 0.1608 d2.dn_loss_iou: 0.2187 d3.dn_loss_cls: 0.0944 d3.dn_loss_bbox: 0.1537 d3.dn_loss_iou: 0.2118 d4.dn_loss_cls: 0.0906 d4.dn_loss_bbox: 0.1528 d4.dn_loss_iou: 0.2103 d1.loss_lmm_region: 0.1566 loss_lmm_image: 0.8465 +2024/11/07 21:07:52 - mmengine - INFO - Iter(train) [ 59200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:12:58 time: 1.0303 data_time: 0.0185 memory: 24208 grad_norm: 22.3327 loss: 9.2006 loss_cls: 0.2924 loss_bbox: 0.1358 loss_iou: 0.2359 d0.loss_cls: 0.3446 d0.loss_bbox: 0.1399 d0.loss_iou: 0.2411 d1.loss_cls: 0.3226 d1.loss_bbox: 0.1358 d1.loss_iou: 0.2385 d2.loss_cls: 0.3100 d2.loss_bbox: 0.1331 d2.loss_iou: 0.2328 d3.loss_cls: 0.3009 d3.loss_bbox: 0.1351 d3.loss_iou: 0.2341 d4.loss_cls: 0.2944 d4.loss_bbox: 0.1358 d4.loss_iou: 0.2351 enc_loss_cls: 0.3637 enc_loss_bbox: 0.1504 enc_loss_iou: 0.2611 dn_loss_cls: 0.0914 dn_loss_bbox: 0.1608 dn_loss_iou: 0.2137 d0.dn_loss_cls: 0.1825 d0.dn_loss_bbox: 0.3094 d0.dn_loss_iou: 0.3603 d1.dn_loss_cls: 0.1252 d1.dn_loss_bbox: 0.2000 d1.dn_loss_iou: 0.2517 d2.dn_loss_cls: 0.1041 d2.dn_loss_bbox: 0.1719 d2.dn_loss_iou: 0.2227 d3.dn_loss_cls: 0.0962 d3.dn_loss_bbox: 0.1629 d3.dn_loss_iou: 0.2152 d4.dn_loss_cls: 0.0923 d4.dn_loss_bbox: 0.1608 d4.dn_loss_iou: 0.2136 d1.loss_lmm_region: 0.1557 loss_lmm_image: 0.8369 +2024/11/07 21:09:35 - mmengine - INFO - Iter(train) [ 59300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:11:13 time: 1.0305 data_time: 0.0186 memory: 24556 grad_norm: 24.2827 loss: 9.9894 loss_cls: 0.3276 loss_bbox: 0.1518 loss_iou: 0.2728 d0.loss_cls: 0.3732 d0.loss_bbox: 0.1656 d0.loss_iou: 0.3017 d1.loss_cls: 0.3503 d1.loss_bbox: 0.1560 d1.loss_iou: 0.2839 d2.loss_cls: 0.3474 d2.loss_bbox: 0.1500 d2.loss_iou: 0.2716 d3.loss_cls: 0.3383 d3.loss_bbox: 0.1504 d3.loss_iou: 0.2728 d4.loss_cls: 0.3321 d4.loss_bbox: 0.1496 d4.loss_iou: 0.2710 enc_loss_cls: 0.3939 enc_loss_bbox: 0.1829 enc_loss_iou: 0.3234 dn_loss_cls: 0.0925 dn_loss_bbox: 0.1781 dn_loss_iou: 0.2160 d0.dn_loss_cls: 0.1747 d0.dn_loss_bbox: 0.3276 d0.dn_loss_iou: 0.3653 d1.dn_loss_cls: 0.1218 d1.dn_loss_bbox: 0.2170 d1.dn_loss_iou: 0.2520 d2.dn_loss_cls: 0.1069 d2.dn_loss_bbox: 0.1907 d2.dn_loss_iou: 0.2261 d3.dn_loss_cls: 0.0960 d3.dn_loss_bbox: 0.1806 d3.dn_loss_iou: 0.2180 d4.dn_loss_cls: 0.0925 d4.dn_loss_bbox: 0.1782 d4.dn_loss_iou: 0.2160 d1.loss_lmm_region: 0.1431 loss_lmm_image: 0.8302 +2024/11/07 21:11:18 - mmengine - INFO - Iter(train) [ 59400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:09:26 time: 1.0112 data_time: 0.0185 memory: 23086 grad_norm: 24.0255 loss: 9.6795 loss_cls: 0.3186 loss_bbox: 0.1440 loss_iou: 0.2679 d0.loss_cls: 0.3520 d0.loss_bbox: 0.1567 d0.loss_iou: 0.2799 d1.loss_cls: 0.3297 d1.loss_bbox: 0.1512 d1.loss_iou: 0.2711 d2.loss_cls: 0.3234 d2.loss_bbox: 0.1443 d2.loss_iou: 0.2669 d3.loss_cls: 0.3199 d3.loss_bbox: 0.1414 d3.loss_iou: 0.2646 d4.loss_cls: 0.3198 d4.loss_bbox: 0.1405 d4.loss_iou: 0.2652 enc_loss_cls: 0.3717 enc_loss_bbox: 0.1685 enc_loss_iou: 0.3015 dn_loss_cls: 0.1398 dn_loss_bbox: 0.1564 dn_loss_iou: 0.2068 d0.dn_loss_cls: 0.1994 d0.dn_loss_bbox: 0.2904 d0.dn_loss_iou: 0.3404 d1.dn_loss_cls: 0.1349 d1.dn_loss_bbox: 0.1862 d1.dn_loss_iou: 0.2371 d2.dn_loss_cls: 0.1246 d2.dn_loss_bbox: 0.1652 d2.dn_loss_iou: 0.2152 d3.dn_loss_cls: 0.1283 d3.dn_loss_bbox: 0.1580 d3.dn_loss_iou: 0.2084 d4.dn_loss_cls: 0.1439 d4.dn_loss_bbox: 0.1563 d4.dn_loss_iou: 0.2067 d1.loss_lmm_region: 0.1752 loss_lmm_image: 0.8076 +2024/11/07 21:13:00 - mmengine - INFO - Iter(train) [ 59500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:07:41 time: 1.0253 data_time: 0.0185 memory: 22974 grad_norm: 20.9496 loss: 9.3038 loss_cls: 0.2895 loss_bbox: 0.1340 loss_iou: 0.2469 d0.loss_cls: 0.3238 d0.loss_bbox: 0.1514 d0.loss_iou: 0.2668 d1.loss_cls: 0.3014 d1.loss_bbox: 0.1490 d1.loss_iou: 0.2597 d2.loss_cls: 0.2973 d2.loss_bbox: 0.1419 d2.loss_iou: 0.2519 d3.loss_cls: 0.2939 d3.loss_bbox: 0.1355 d3.loss_iou: 0.2481 d4.loss_cls: 0.2912 d4.loss_bbox: 0.1340 d4.loss_iou: 0.2465 enc_loss_cls: 0.3398 enc_loss_bbox: 0.1654 enc_loss_iou: 0.2885 dn_loss_cls: 0.0773 dn_loss_bbox: 0.1695 dn_loss_iou: 0.2197 d0.dn_loss_cls: 0.1688 d0.dn_loss_bbox: 0.3108 d0.dn_loss_iou: 0.3690 d1.dn_loss_cls: 0.1139 d1.dn_loss_bbox: 0.2017 d1.dn_loss_iou: 0.2521 d2.dn_loss_cls: 0.0956 d2.dn_loss_bbox: 0.1783 d2.dn_loss_iou: 0.2287 d3.dn_loss_cls: 0.0853 d3.dn_loss_bbox: 0.1702 d3.dn_loss_iou: 0.2206 d4.dn_loss_cls: 0.0785 d4.dn_loss_bbox: 0.1694 d4.dn_loss_iou: 0.2196 d1.loss_lmm_region: 0.1445 loss_lmm_image: 0.8738 +2024/11/07 21:14:43 - mmengine - INFO - Iter(train) [ 59600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:05:55 time: 1.0305 data_time: 0.0185 memory: 24500 grad_norm: 22.2440 loss: 10.3374 loss_cls: 0.3301 loss_bbox: 0.1493 loss_iou: 0.2942 d0.loss_cls: 0.3650 d0.loss_bbox: 0.1650 d0.loss_iou: 0.3172 d1.loss_cls: 0.3434 d1.loss_bbox: 0.1577 d1.loss_iou: 0.3032 d2.loss_cls: 0.3421 d2.loss_bbox: 0.1504 d2.loss_iou: 0.2967 d3.loss_cls: 0.3310 d3.loss_bbox: 0.1523 d3.loss_iou: 0.2959 d4.loss_cls: 0.3305 d4.loss_bbox: 0.1487 d4.loss_iou: 0.2940 enc_loss_cls: 0.3726 enc_loss_bbox: 0.1816 enc_loss_iou: 0.3386 dn_loss_cls: 0.1175 dn_loss_bbox: 0.1662 dn_loss_iou: 0.2421 d0.dn_loss_cls: 0.1961 d0.dn_loss_bbox: 0.3343 d0.dn_loss_iou: 0.4054 d1.dn_loss_cls: 0.1441 d1.dn_loss_bbox: 0.2070 d1.dn_loss_iou: 0.2814 d2.dn_loss_cls: 0.1295 d2.dn_loss_bbox: 0.1760 d2.dn_loss_iou: 0.2526 d3.dn_loss_cls: 0.1231 d3.dn_loss_bbox: 0.1672 d3.dn_loss_iou: 0.2428 d4.dn_loss_cls: 0.1177 d4.dn_loss_bbox: 0.1662 d4.dn_loss_iou: 0.2420 d1.loss_lmm_region: 0.1313 loss_lmm_image: 0.8352 +2024/11/07 21:16:26 - mmengine - INFO - Iter(train) [ 59700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:04:09 time: 1.0195 data_time: 0.0184 memory: 23314 grad_norm: 22.4137 loss: 8.9816 loss_cls: 0.2471 loss_bbox: 0.1407 loss_iou: 0.2310 d0.loss_cls: 0.2846 d0.loss_bbox: 0.1495 d0.loss_iou: 0.2438 d1.loss_cls: 0.2682 d1.loss_bbox: 0.1433 d1.loss_iou: 0.2341 d2.loss_cls: 0.2607 d2.loss_bbox: 0.1392 d2.loss_iou: 0.2315 d3.loss_cls: 0.2543 d3.loss_bbox: 0.1389 d3.loss_iou: 0.2318 d4.loss_cls: 0.2487 d4.loss_bbox: 0.1399 d4.loss_iou: 0.2301 enc_loss_cls: 0.3097 enc_loss_bbox: 0.1613 enc_loss_iou: 0.2571 dn_loss_cls: 0.0855 dn_loss_bbox: 0.1788 dn_loss_iou: 0.2227 d0.dn_loss_cls: 0.1776 d0.dn_loss_bbox: 0.3373 d0.dn_loss_iou: 0.3761 d1.dn_loss_cls: 0.1192 d1.dn_loss_bbox: 0.2160 d1.dn_loss_iou: 0.2549 d2.dn_loss_cls: 0.1038 d2.dn_loss_bbox: 0.1868 d2.dn_loss_iou: 0.2309 d3.dn_loss_cls: 0.0955 d3.dn_loss_bbox: 0.1809 d3.dn_loss_iou: 0.2240 d4.dn_loss_cls: 0.0862 d4.dn_loss_bbox: 0.1789 d4.dn_loss_iou: 0.2225 d1.loss_lmm_region: 0.1424 loss_lmm_image: 0.8160 +2024/11/07 21:18:09 - mmengine - INFO - Iter(train) [ 59800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:02:25 time: 1.0414 data_time: 0.0184 memory: 23027 grad_norm: 22.5476 loss: 10.4943 loss_cls: 0.3153 loss_bbox: 0.1806 loss_iou: 0.2945 d0.loss_cls: 0.3525 d0.loss_bbox: 0.1938 d0.loss_iou: 0.3095 d1.loss_cls: 0.3339 d1.loss_bbox: 0.1867 d1.loss_iou: 0.3002 d2.loss_cls: 0.3218 d2.loss_bbox: 0.1837 d2.loss_iou: 0.2973 d3.loss_cls: 0.3173 d3.loss_bbox: 0.1838 d3.loss_iou: 0.2975 d4.loss_cls: 0.3163 d4.loss_bbox: 0.1817 d4.loss_iou: 0.2955 enc_loss_cls: 0.3779 enc_loss_bbox: 0.1987 enc_loss_iou: 0.3228 dn_loss_cls: 0.0994 dn_loss_bbox: 0.1921 dn_loss_iou: 0.2421 d0.dn_loss_cls: 0.1916 d0.dn_loss_bbox: 0.3546 d0.dn_loss_iou: 0.3963 d1.dn_loss_cls: 0.1334 d1.dn_loss_bbox: 0.2224 d1.dn_loss_iou: 0.2733 d2.dn_loss_cls: 0.1150 d2.dn_loss_bbox: 0.1992 d2.dn_loss_iou: 0.2498 d3.dn_loss_cls: 0.1070 d3.dn_loss_bbox: 0.1948 d3.dn_loss_iou: 0.2438 d4.dn_loss_cls: 0.1001 d4.dn_loss_bbox: 0.1920 d4.dn_loss_iou: 0.2420 d1.loss_lmm_region: 0.1608 loss_lmm_image: 0.8232 +2024/11/07 21:19:52 - mmengine - INFO - Iter(train) [ 59900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:00:39 time: 1.0253 data_time: 0.0185 memory: 24230 grad_norm: 21.8832 loss: 8.5305 loss_cls: 0.2496 loss_bbox: 0.1218 loss_iou: 0.2114 d0.loss_cls: 0.2796 d0.loss_bbox: 0.1438 d0.loss_iou: 0.2359 d1.loss_cls: 0.2637 d1.loss_bbox: 0.1298 d1.loss_iou: 0.2231 d2.loss_cls: 0.2564 d2.loss_bbox: 0.1252 d2.loss_iou: 0.2163 d3.loss_cls: 0.2544 d3.loss_bbox: 0.1224 d3.loss_iou: 0.2126 d4.loss_cls: 0.2508 d4.loss_bbox: 0.1221 d4.loss_iou: 0.2115 enc_loss_cls: 0.2989 enc_loss_bbox: 0.1630 enc_loss_iou: 0.2598 dn_loss_cls: 0.0767 dn_loss_bbox: 0.1639 dn_loss_iou: 0.2095 d0.dn_loss_cls: 0.1694 d0.dn_loss_bbox: 0.3338 d0.dn_loss_iou: 0.3643 d1.dn_loss_cls: 0.1112 d1.dn_loss_bbox: 0.2007 d1.dn_loss_iou: 0.2452 d2.dn_loss_cls: 0.0925 d2.dn_loss_bbox: 0.1728 d2.dn_loss_iou: 0.2189 d3.dn_loss_cls: 0.0826 d3.dn_loss_bbox: 0.1656 d3.dn_loss_iou: 0.2107 d4.dn_loss_cls: 0.0770 d4.dn_loss_bbox: 0.1638 d4.dn_loss_iou: 0.2094 d1.loss_lmm_region: 0.1361 loss_lmm_image: 0.7740 +2024/11/07 21:21:35 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/07 21:21:35 - mmengine - INFO - Iter(train) [ 60000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:58:54 time: 1.0338 data_time: 0.0184 memory: 22918 grad_norm: 22.0845 loss: 9.7473 loss_cls: 0.2899 loss_bbox: 0.1461 loss_iou: 0.2644 d0.loss_cls: 0.3178 d0.loss_bbox: 0.1617 d0.loss_iou: 0.2810 d1.loss_cls: 0.3064 d1.loss_bbox: 0.1526 d1.loss_iou: 0.2721 d2.loss_cls: 0.3005 d2.loss_bbox: 0.1473 d2.loss_iou: 0.2683 d3.loss_cls: 0.2941 d3.loss_bbox: 0.1477 d3.loss_iou: 0.2674 d4.loss_cls: 0.2886 d4.loss_bbox: 0.1478 d4.loss_iou: 0.2670 enc_loss_cls: 0.3334 enc_loss_bbox: 0.1775 enc_loss_iou: 0.3000 dn_loss_cls: 0.0945 dn_loss_bbox: 0.1771 dn_loss_iou: 0.2418 d0.dn_loss_cls: 0.1790 d0.dn_loss_bbox: 0.3401 d0.dn_loss_iou: 0.4033 d1.dn_loss_cls: 0.1239 d1.dn_loss_bbox: 0.2155 d1.dn_loss_iou: 0.2781 d2.dn_loss_cls: 0.1081 d2.dn_loss_bbox: 0.1895 d2.dn_loss_iou: 0.2515 d3.dn_loss_cls: 0.0992 d3.dn_loss_bbox: 0.1788 d3.dn_loss_iou: 0.2432 d4.dn_loss_cls: 0.0946 d4.dn_loss_bbox: 0.1770 d4.dn_loss_iou: 0.2419 d1.loss_lmm_region: 0.1401 loss_lmm_image: 0.8387 +2024/11/07 21:21:35 - mmengine - INFO - Saving checkpoint at 60000 iterations +2024/11/07 21:26:42 - mmengine - INFO - Iter(val) [100/602] eta: 0:18:41 time: 2.3641 data_time: 0.0016 memory: 5362 +2024/11/07 21:31:13 - mmengine - INFO - Iter(val) [200/602] eta: 0:16:34 time: 2.8851 data_time: 0.0017 memory: 5371 +2024/11/07 21:36:39 - mmengine - INFO - Iter(val) [300/602] eta: 0:13:45 time: 3.3576 data_time: 0.0018 memory: 5366 +2024/11/07 21:42:59 - mmengine - INFO - Iter(val) [400/602] eta: 0:10:05 time: 3.9537 data_time: 0.0018 memory: 5371 +2024/11/07 21:49:58 - mmengine - INFO - Iter(val) [500/602] eta: 0:05:30 time: 4.3368 data_time: 0.0018 memory: 5357 +2024/11/07 21:57:41 - mmengine - INFO - Iter(val) [600/602] eta: 0:00:06 time: 4.7897 data_time: 0.0018 memory: 5371 +2024/11/07 22:04:10 - mmengine - INFO - +=== +107 classes had less than 10000 detections! + Outputting 10000 detections for each class will improve AP further. + === +2024/11/07 22:06:28 - mmengine - INFO - mAP_copypaste: {'AP': 0.42868101650952617, 'AP50': 0.539216749579723, 'AP75': 0.4557080261564988, 'APs': 0.3819863312408742, 'APm': 0.5556499782974259, 'APl': 0.6378876795548292, 'APr': 0.34389891597111844, 'APc': 0.3750329754041776, 'APf': 0.49151731784380287} +2024/11/07 22:06:52 - mmengine - INFO - Iter(val) [602/602] lvis_fixed_ap/AP: 0.4287 lvis_fixed_ap/AP50: 0.5392 lvis_fixed_ap/AP75: 0.4557 lvis_fixed_ap/APs: 0.3820 lvis_fixed_ap/APm: 0.5556 lvis_fixed_ap/APl: 0.6379 lvis_fixed_ap/APr: 0.3439 lvis_fixed_ap/APc: 0.3750 lvis_fixed_ap/APf: 0.4915 data_time: 0.0020 time: 3.4752 +2024/11/07 22:08:35 - mmengine - INFO - Iter(train) [ 60100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:10:39 time: 1.0211 data_time: 0.0178 memory: 23580 grad_norm: 22.5065 loss: 9.4043 loss_cls: 0.3052 loss_bbox: 0.1274 loss_iou: 0.2685 d0.loss_cls: 0.3375 d0.loss_bbox: 0.1394 d0.loss_iou: 0.2828 d1.loss_cls: 0.3111 d1.loss_bbox: 0.1362 d1.loss_iou: 0.2797 d2.loss_cls: 0.3117 d2.loss_bbox: 0.1296 d2.loss_iou: 0.2691 d3.loss_cls: 0.3081 d3.loss_bbox: 0.1269 d3.loss_iou: 0.2668 d4.loss_cls: 0.3040 d4.loss_bbox: 0.1289 d4.loss_iou: 0.2685 enc_loss_cls: 0.3545 enc_loss_bbox: 0.1485 enc_loss_iou: 0.3004 dn_loss_cls: 0.1065 dn_loss_bbox: 0.1477 dn_loss_iou: 0.2131 d0.dn_loss_cls: 0.1801 d0.dn_loss_bbox: 0.2804 d0.dn_loss_iou: 0.3532 d1.dn_loss_cls: 0.1365 d1.dn_loss_bbox: 0.1783 d1.dn_loss_iou: 0.2450 d2.dn_loss_cls: 0.1234 d2.dn_loss_bbox: 0.1543 d2.dn_loss_iou: 0.2200 d3.dn_loss_cls: 0.1128 d3.dn_loss_bbox: 0.1486 d3.dn_loss_iou: 0.2140 d4.dn_loss_cls: 0.1064 d4.dn_loss_bbox: 0.1476 d4.dn_loss_iou: 0.2130 d1.loss_lmm_region: 0.1472 loss_lmm_image: 0.8713 +2024/11/07 22:10:17 - mmengine - INFO - Iter(train) [ 60200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:08:50 time: 1.0254 data_time: 0.0181 memory: 23485 grad_norm: 23.8262 loss: 9.7208 loss_cls: 0.3075 loss_bbox: 0.1518 loss_iou: 0.2570 d0.loss_cls: 0.3477 d0.loss_bbox: 0.1604 d0.loss_iou: 0.2697 d1.loss_cls: 0.3283 d1.loss_bbox: 0.1537 d1.loss_iou: 0.2599 d2.loss_cls: 0.3249 d2.loss_bbox: 0.1487 d2.loss_iou: 0.2532 d3.loss_cls: 0.3196 d3.loss_bbox: 0.1490 d3.loss_iou: 0.2541 d4.loss_cls: 0.3081 d4.loss_bbox: 0.1522 d4.loss_iou: 0.2574 enc_loss_cls: 0.3631 enc_loss_bbox: 0.1656 enc_loss_iou: 0.2838 dn_loss_cls: 0.1148 dn_loss_bbox: 0.1639 dn_loss_iou: 0.2196 d0.dn_loss_cls: 0.2065 d0.dn_loss_bbox: 0.3047 d0.dn_loss_iou: 0.3653 d1.dn_loss_cls: 0.1508 d1.dn_loss_bbox: 0.1940 d1.dn_loss_iou: 0.2514 d2.dn_loss_cls: 0.1303 d2.dn_loss_bbox: 0.1690 d2.dn_loss_iou: 0.2264 d3.dn_loss_cls: 0.1198 d3.dn_loss_bbox: 0.1645 d3.dn_loss_iou: 0.2206 d4.dn_loss_cls: 0.1164 d4.dn_loss_bbox: 0.1638 d4.dn_loss_iou: 0.2194 d1.loss_lmm_region: 0.1767 loss_lmm_image: 0.8272 +2024/11/07 22:12:00 - mmengine - INFO - Iter(train) [ 60300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:07:02 time: 1.0230 data_time: 0.0179 memory: 22280 grad_norm: 27.5106 loss: 9.6039 loss_cls: 0.2705 loss_bbox: 0.1496 loss_iou: 0.2487 d0.loss_cls: 0.3083 d0.loss_bbox: 0.1603 d0.loss_iou: 0.2613 d1.loss_cls: 0.2957 d1.loss_bbox: 0.1531 d1.loss_iou: 0.2547 d2.loss_cls: 0.2845 d2.loss_bbox: 0.1501 d2.loss_iou: 0.2494 d3.loss_cls: 0.2743 d3.loss_bbox: 0.1497 d3.loss_iou: 0.2491 d4.loss_cls: 0.2723 d4.loss_bbox: 0.1492 d4.loss_iou: 0.2489 enc_loss_cls: 0.3313 enc_loss_bbox: 0.1774 enc_loss_iou: 0.2846 dn_loss_cls: 0.1020 dn_loss_bbox: 0.1889 dn_loss_iou: 0.2230 d0.dn_loss_cls: 0.1897 d0.dn_loss_bbox: 0.3650 d0.dn_loss_iou: 0.3820 d1.dn_loss_cls: 0.1328 d1.dn_loss_bbox: 0.2259 d1.dn_loss_iou: 0.2596 d2.dn_loss_cls: 0.1169 d2.dn_loss_bbox: 0.1965 d2.dn_loss_iou: 0.2325 d3.dn_loss_cls: 0.1073 d3.dn_loss_bbox: 0.1902 d3.dn_loss_iou: 0.2249 d4.dn_loss_cls: 0.1030 d4.dn_loss_bbox: 0.1888 d4.dn_loss_iou: 0.2230 d1.loss_lmm_region: 0.1614 loss_lmm_image: 0.8677 +2024/11/07 22:13:41 - mmengine - INFO - Iter(train) [ 60400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:05:12 time: 1.0126 data_time: 0.0179 memory: 22915 grad_norm: 23.4430 loss: 9.2917 loss_cls: 0.2946 loss_bbox: 0.1319 loss_iou: 0.2403 d0.loss_cls: 0.3259 d0.loss_bbox: 0.1368 d0.loss_iou: 0.2566 d1.loss_cls: 0.3028 d1.loss_bbox: 0.1369 d1.loss_iou: 0.2487 d2.loss_cls: 0.3030 d2.loss_bbox: 0.1286 d2.loss_iou: 0.2396 d3.loss_cls: 0.3011 d3.loss_bbox: 0.1322 d3.loss_iou: 0.2395 d4.loss_cls: 0.2968 d4.loss_bbox: 0.1308 d4.loss_iou: 0.2394 enc_loss_cls: 0.3365 enc_loss_bbox: 0.1556 enc_loss_iou: 0.2788 dn_loss_cls: 0.1012 dn_loss_bbox: 0.1699 dn_loss_iou: 0.2160 d0.dn_loss_cls: 0.1839 d0.dn_loss_bbox: 0.3315 d0.dn_loss_iou: 0.3705 d1.dn_loss_cls: 0.1329 d1.dn_loss_bbox: 0.2068 d1.dn_loss_iou: 0.2512 d2.dn_loss_cls: 0.1185 d2.dn_loss_bbox: 0.1801 d2.dn_loss_iou: 0.2254 d3.dn_loss_cls: 0.1071 d3.dn_loss_bbox: 0.1703 d3.dn_loss_iou: 0.2167 d4.dn_loss_cls: 0.1038 d4.dn_loss_bbox: 0.1699 d4.dn_loss_iou: 0.2159 d1.loss_lmm_region: 0.1649 loss_lmm_image: 0.7988 +2024/11/07 22:15:23 - mmengine - INFO - Iter(train) [ 60500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:03:23 time: 1.0237 data_time: 0.0179 memory: 23541 grad_norm: 21.5129 loss: 9.6255 loss_cls: 0.2802 loss_bbox: 0.1483 loss_iou: 0.2679 d0.loss_cls: 0.3167 d0.loss_bbox: 0.1616 d0.loss_iou: 0.2891 d1.loss_cls: 0.3001 d1.loss_bbox: 0.1523 d1.loss_iou: 0.2781 d2.loss_cls: 0.2894 d2.loss_bbox: 0.1480 d2.loss_iou: 0.2689 d3.loss_cls: 0.2864 d3.loss_bbox: 0.1462 d3.loss_iou: 0.2671 d4.loss_cls: 0.2794 d4.loss_bbox: 0.1488 d4.loss_iou: 0.2684 enc_loss_cls: 0.3292 enc_loss_bbox: 0.1765 enc_loss_iou: 0.3067 dn_loss_cls: 0.0940 dn_loss_bbox: 0.1691 dn_loss_iou: 0.2333 d0.dn_loss_cls: 0.1864 d0.dn_loss_bbox: 0.3286 d0.dn_loss_iou: 0.3862 d1.dn_loss_cls: 0.1274 d1.dn_loss_bbox: 0.2052 d1.dn_loss_iou: 0.2680 d2.dn_loss_cls: 0.1092 d2.dn_loss_bbox: 0.1774 d2.dn_loss_iou: 0.2426 d3.dn_loss_cls: 0.0993 d3.dn_loss_bbox: 0.1704 d3.dn_loss_iou: 0.2347 d4.dn_loss_cls: 0.0941 d4.dn_loss_bbox: 0.1692 d4.dn_loss_iou: 0.2333 d1.loss_lmm_region: 0.1663 loss_lmm_image: 0.8213 +2024/11/07 22:17:05 - mmengine - INFO - Iter(train) [ 60600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:01:35 time: 1.0240 data_time: 0.0177 memory: 23948 grad_norm: 21.2483 loss: 9.1191 loss_cls: 0.2768 loss_bbox: 0.1200 loss_iou: 0.2213 d0.loss_cls: 0.3127 d0.loss_bbox: 0.1365 d0.loss_iou: 0.2352 d1.loss_cls: 0.3028 d1.loss_bbox: 0.1258 d1.loss_iou: 0.2273 d2.loss_cls: 0.2953 d2.loss_bbox: 0.1187 d2.loss_iou: 0.2229 d3.loss_cls: 0.2868 d3.loss_bbox: 0.1190 d3.loss_iou: 0.2225 d4.loss_cls: 0.2796 d4.loss_bbox: 0.1199 d4.loss_iou: 0.2219 enc_loss_cls: 0.3242 enc_loss_bbox: 0.1571 enc_loss_iou: 0.2563 dn_loss_cls: 0.1100 dn_loss_bbox: 0.1732 dn_loss_iou: 0.2171 d0.dn_loss_cls: 0.1923 d0.dn_loss_bbox: 0.3201 d0.dn_loss_iou: 0.3655 d1.dn_loss_cls: 0.1398 d1.dn_loss_bbox: 0.2060 d1.dn_loss_iou: 0.2526 d2.dn_loss_cls: 0.1227 d2.dn_loss_bbox: 0.1815 d2.dn_loss_iou: 0.2273 d3.dn_loss_cls: 0.1144 d3.dn_loss_bbox: 0.1740 d3.dn_loss_iou: 0.2187 d4.dn_loss_cls: 0.1111 d4.dn_loss_bbox: 0.1731 d4.dn_loss_iou: 0.2171 d1.loss_lmm_region: 0.1523 loss_lmm_image: 0.8677 +2024/11/07 22:18:48 - mmengine - INFO - Iter(train) [ 60700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:59:46 time: 1.0331 data_time: 0.0179 memory: 24936 grad_norm: 22.4527 loss: 10.4007 loss_cls: 0.3206 loss_bbox: 0.1683 loss_iou: 0.3068 d0.loss_cls: 0.3667 d0.loss_bbox: 0.1735 d0.loss_iou: 0.3160 d1.loss_cls: 0.3350 d1.loss_bbox: 0.1735 d1.loss_iou: 0.3151 d2.loss_cls: 0.3332 d2.loss_bbox: 0.1680 d2.loss_iou: 0.3041 d3.loss_cls: 0.3294 d3.loss_bbox: 0.1686 d3.loss_iou: 0.3051 d4.loss_cls: 0.3213 d4.loss_bbox: 0.1686 d4.loss_iou: 0.3084 enc_loss_cls: 0.3786 enc_loss_bbox: 0.1972 enc_loss_iou: 0.3510 dn_loss_cls: 0.1013 dn_loss_bbox: 0.1747 dn_loss_iou: 0.2310 d0.dn_loss_cls: 0.1866 d0.dn_loss_bbox: 0.3281 d0.dn_loss_iou: 0.3834 d1.dn_loss_cls: 0.1307 d1.dn_loss_bbox: 0.2084 d1.dn_loss_iou: 0.2663 d2.dn_loss_cls: 0.1142 d2.dn_loss_bbox: 0.1849 d2.dn_loss_iou: 0.2405 d3.dn_loss_cls: 0.1063 d3.dn_loss_bbox: 0.1764 d3.dn_loss_iou: 0.2324 d4.dn_loss_cls: 0.1027 d4.dn_loss_bbox: 0.1747 d4.dn_loss_iou: 0.2311 d1.loss_lmm_region: 0.1593 loss_lmm_image: 0.8587 +2024/11/07 22:20:30 - mmengine - INFO - Iter(train) [ 60800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:57:58 time: 1.0229 data_time: 0.0178 memory: 24000 grad_norm: 24.5492 loss: 9.5512 loss_cls: 0.3261 loss_bbox: 0.1332 loss_iou: 0.2628 d0.loss_cls: 0.3575 d0.loss_bbox: 0.1498 d0.loss_iou: 0.2842 d1.loss_cls: 0.3364 d1.loss_bbox: 0.1408 d1.loss_iou: 0.2721 d2.loss_cls: 0.3325 d2.loss_bbox: 0.1351 d2.loss_iou: 0.2661 d3.loss_cls: 0.3316 d3.loss_bbox: 0.1333 d3.loss_iou: 0.2635 d4.loss_cls: 0.3265 d4.loss_bbox: 0.1325 d4.loss_iou: 0.2628 enc_loss_cls: 0.3657 enc_loss_bbox: 0.1613 enc_loss_iou: 0.3093 dn_loss_cls: 0.0990 dn_loss_bbox: 0.1512 dn_loss_iou: 0.2188 d0.dn_loss_cls: 0.1838 d0.dn_loss_bbox: 0.2875 d0.dn_loss_iou: 0.3610 d1.dn_loss_cls: 0.1318 d1.dn_loss_bbox: 0.1809 d1.dn_loss_iou: 0.2527 d2.dn_loss_cls: 0.1161 d2.dn_loss_bbox: 0.1579 d2.dn_loss_iou: 0.2268 d3.dn_loss_cls: 0.1047 d3.dn_loss_bbox: 0.1530 d3.dn_loss_iou: 0.2204 d4.dn_loss_cls: 0.0998 d4.dn_loss_bbox: 0.1512 d4.dn_loss_iou: 0.2185 d1.loss_lmm_region: 0.1488 loss_lmm_image: 0.8042 +2024/11/07 22:22:13 - mmengine - INFO - Iter(train) [ 60900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:56:10 time: 1.0292 data_time: 0.0177 memory: 23869 grad_norm: 22.4718 loss: 10.1013 loss_cls: 0.3357 loss_bbox: 0.1470 loss_iou: 0.2971 d0.loss_cls: 0.3807 d0.loss_bbox: 0.1703 d0.loss_iou: 0.3252 d1.loss_cls: 0.3584 d1.loss_bbox: 0.1548 d1.loss_iou: 0.3076 d2.loss_cls: 0.3494 d2.loss_bbox: 0.1501 d2.loss_iou: 0.3002 d3.loss_cls: 0.3425 d3.loss_bbox: 0.1469 d3.loss_iou: 0.2961 d4.loss_cls: 0.3365 d4.loss_bbox: 0.1488 d4.loss_iou: 0.2973 enc_loss_cls: 0.4011 enc_loss_bbox: 0.1817 enc_loss_iou: 0.3472 dn_loss_cls: 0.0921 dn_loss_bbox: 0.1505 dn_loss_iou: 0.2331 d0.dn_loss_cls: 0.1763 d0.dn_loss_bbox: 0.2898 d0.dn_loss_iou: 0.3855 d1.dn_loss_cls: 0.1249 d1.dn_loss_bbox: 0.1824 d1.dn_loss_iou: 0.2683 d2.dn_loss_cls: 0.1085 d2.dn_loss_bbox: 0.1580 d2.dn_loss_iou: 0.2422 d3.dn_loss_cls: 0.1013 d3.dn_loss_bbox: 0.1523 d3.dn_loss_iou: 0.2350 d4.dn_loss_cls: 0.0926 d4.dn_loss_bbox: 0.1504 d4.dn_loss_iou: 0.2330 d1.loss_lmm_region: 0.1514 loss_lmm_image: 0.7990 +2024/11/07 22:23:55 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/07 22:23:55 - mmengine - INFO - Iter(train) [ 61000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:54:21 time: 1.0165 data_time: 0.0177 memory: 23623 grad_norm: 21.1173 loss: 9.0900 loss_cls: 0.3107 loss_bbox: 0.1288 loss_iou: 0.2315 d0.loss_cls: 0.3418 d0.loss_bbox: 0.1407 d0.loss_iou: 0.2498 d1.loss_cls: 0.3140 d1.loss_bbox: 0.1380 d1.loss_iou: 0.2426 d2.loss_cls: 0.3096 d2.loss_bbox: 0.1355 d2.loss_iou: 0.2396 d3.loss_cls: 0.3127 d3.loss_bbox: 0.1300 d3.loss_iou: 0.2326 d4.loss_cls: 0.3098 d4.loss_bbox: 0.1296 d4.loss_iou: 0.2320 enc_loss_cls: 0.3561 enc_loss_bbox: 0.1552 enc_loss_iou: 0.2732 dn_loss_cls: 0.1025 dn_loss_bbox: 0.1505 dn_loss_iou: 0.1999 d0.dn_loss_cls: 0.1823 d0.dn_loss_bbox: 0.3019 d0.dn_loss_iou: 0.3465 d1.dn_loss_cls: 0.1287 d1.dn_loss_bbox: 0.1856 d1.dn_loss_iou: 0.2331 d2.dn_loss_cls: 0.1165 d2.dn_loss_bbox: 0.1581 d2.dn_loss_iou: 0.2078 d3.dn_loss_cls: 0.1075 d3.dn_loss_bbox: 0.1514 d3.dn_loss_iou: 0.2011 d4.dn_loss_cls: 0.1029 d4.dn_loss_bbox: 0.1505 d4.dn_loss_iou: 0.1999 d1.loss_lmm_region: 0.1278 loss_lmm_image: 0.8215 +2024/11/07 22:25:37 - mmengine - INFO - Iter(train) [ 61100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:52:32 time: 1.0188 data_time: 0.0177 memory: 23399 grad_norm: 24.8375 loss: 9.2076 loss_cls: 0.2878 loss_bbox: 0.1278 loss_iou: 0.2685 d0.loss_cls: 0.3141 d0.loss_bbox: 0.1425 d0.loss_iou: 0.2898 d1.loss_cls: 0.2959 d1.loss_bbox: 0.1360 d1.loss_iou: 0.2781 d2.loss_cls: 0.2918 d2.loss_bbox: 0.1297 d2.loss_iou: 0.2740 d3.loss_cls: 0.2875 d3.loss_bbox: 0.1300 d3.loss_iou: 0.2720 d4.loss_cls: 0.2890 d4.loss_bbox: 0.1282 d4.loss_iou: 0.2692 enc_loss_cls: 0.3282 enc_loss_bbox: 0.1590 enc_loss_iou: 0.3192 dn_loss_cls: 0.0953 dn_loss_bbox: 0.1405 dn_loss_iou: 0.2312 d0.dn_loss_cls: 0.1674 d0.dn_loss_bbox: 0.2710 d0.dn_loss_iou: 0.3787 d1.dn_loss_cls: 0.1184 d1.dn_loss_bbox: 0.1660 d1.dn_loss_iou: 0.2621 d2.dn_loss_cls: 0.1038 d2.dn_loss_bbox: 0.1470 d2.dn_loss_iou: 0.2390 d3.dn_loss_cls: 0.0988 d3.dn_loss_bbox: 0.1406 d3.dn_loss_iou: 0.2318 d4.dn_loss_cls: 0.0941 d4.dn_loss_bbox: 0.1405 d4.dn_loss_iou: 0.2312 d1.loss_lmm_region: 0.1232 loss_lmm_image: 0.8088 +2024/11/07 22:27:19 - mmengine - INFO - Iter(train) [ 61200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:50:43 time: 1.0147 data_time: 0.0179 memory: 24169 grad_norm: 31.6206 loss: 11.0419 loss_cls: 0.3682 loss_bbox: 0.1776 loss_iou: 0.2931 d0.loss_cls: 0.4079 d0.loss_bbox: 0.2038 d0.loss_iou: 0.3201 d1.loss_cls: 0.3865 d1.loss_bbox: 0.1896 d1.loss_iou: 0.3047 d2.loss_cls: 0.3770 d2.loss_bbox: 0.1853 d2.loss_iou: 0.2995 d3.loss_cls: 0.3695 d3.loss_bbox: 0.1858 d3.loss_iou: 0.3003 d4.loss_cls: 0.3683 d4.loss_bbox: 0.1785 d4.loss_iou: 0.2947 enc_loss_cls: 0.4157 enc_loss_bbox: 0.2217 enc_loss_iou: 0.3442 dn_loss_cls: 0.1098 dn_loss_bbox: 0.1958 dn_loss_iou: 0.2366 d0.dn_loss_cls: 0.2007 d0.dn_loss_bbox: 0.3712 d0.dn_loss_iou: 0.3938 d1.dn_loss_cls: 0.1442 d1.dn_loss_bbox: 0.2343 d1.dn_loss_iou: 0.2731 d2.dn_loss_cls: 0.1253 d2.dn_loss_bbox: 0.2045 d2.dn_loss_iou: 0.2451 d3.dn_loss_cls: 0.1163 d3.dn_loss_bbox: 0.1975 d3.dn_loss_iou: 0.2384 d4.dn_loss_cls: 0.1104 d4.dn_loss_bbox: 0.1959 d4.dn_loss_iou: 0.2365 d1.loss_lmm_region: 0.1723 loss_lmm_image: 0.8481 +2024/11/07 22:29:01 - mmengine - INFO - Iter(train) [ 61300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:48:55 time: 1.0220 data_time: 0.0178 memory: 23460 grad_norm: 22.3490 loss: 9.2380 loss_cls: 0.2828 loss_bbox: 0.1252 loss_iou: 0.2452 d0.loss_cls: 0.3137 d0.loss_bbox: 0.1462 d0.loss_iou: 0.2676 d1.loss_cls: 0.2915 d1.loss_bbox: 0.1379 d1.loss_iou: 0.2549 d2.loss_cls: 0.2887 d2.loss_bbox: 0.1294 d2.loss_iou: 0.2502 d3.loss_cls: 0.2870 d3.loss_bbox: 0.1270 d3.loss_iou: 0.2459 d4.loss_cls: 0.2843 d4.loss_bbox: 0.1251 d4.loss_iou: 0.2456 enc_loss_cls: 0.3345 enc_loss_bbox: 0.1518 enc_loss_iou: 0.2838 dn_loss_cls: 0.0832 dn_loss_bbox: 0.1730 dn_loss_iou: 0.2274 d0.dn_loss_cls: 0.1762 d0.dn_loss_bbox: 0.3315 d0.dn_loss_iou: 0.3813 d1.dn_loss_cls: 0.1104 d1.dn_loss_bbox: 0.2051 d1.dn_loss_iou: 0.2620 d2.dn_loss_cls: 0.0941 d2.dn_loss_bbox: 0.1804 d2.dn_loss_iou: 0.2358 d3.dn_loss_cls: 0.0843 d3.dn_loss_bbox: 0.1738 d3.dn_loss_iou: 0.2286 d4.dn_loss_cls: 0.0832 d4.dn_loss_bbox: 0.1728 d4.dn_loss_iou: 0.2274 d1.loss_lmm_region: 0.1623 loss_lmm_image: 0.8271 +2024/11/07 22:30:44 - mmengine - INFO - Iter(train) [ 61400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:47:07 time: 1.0325 data_time: 0.0179 memory: 23797 grad_norm: 21.8340 loss: 9.3924 loss_cls: 0.2685 loss_bbox: 0.1507 loss_iou: 0.2450 d0.loss_cls: 0.3056 d0.loss_bbox: 0.1683 d0.loss_iou: 0.2667 d1.loss_cls: 0.2888 d1.loss_bbox: 0.1539 d1.loss_iou: 0.2511 d2.loss_cls: 0.2750 d2.loss_bbox: 0.1536 d2.loss_iou: 0.2453 d3.loss_cls: 0.2723 d3.loss_bbox: 0.1484 d3.loss_iou: 0.2440 d4.loss_cls: 0.2690 d4.loss_bbox: 0.1529 d4.loss_iou: 0.2455 enc_loss_cls: 0.3263 enc_loss_bbox: 0.1811 enc_loss_iou: 0.2795 dn_loss_cls: 0.0759 dn_loss_bbox: 0.1843 dn_loss_iou: 0.2257 d0.dn_loss_cls: 0.1744 d0.dn_loss_bbox: 0.3709 d0.dn_loss_iou: 0.3896 d1.dn_loss_cls: 0.1119 d1.dn_loss_bbox: 0.2293 d1.dn_loss_iou: 0.2636 d2.dn_loss_cls: 0.0918 d2.dn_loss_bbox: 0.1947 d2.dn_loss_iou: 0.2355 d3.dn_loss_cls: 0.0815 d3.dn_loss_bbox: 0.1863 d3.dn_loss_iou: 0.2274 d4.dn_loss_cls: 0.0762 d4.dn_loss_bbox: 0.1843 d4.dn_loss_iou: 0.2257 d1.loss_lmm_region: 0.1440 loss_lmm_image: 0.8281 +2024/11/07 22:32:26 - mmengine - INFO - Iter(train) [ 61500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:45:18 time: 1.0183 data_time: 0.0177 memory: 22714 grad_norm: 21.8466 loss: 10.6132 loss_cls: 0.3266 loss_bbox: 0.1793 loss_iou: 0.2876 d0.loss_cls: 0.3741 d0.loss_bbox: 0.1940 d0.loss_iou: 0.3026 d1.loss_cls: 0.3516 d1.loss_bbox: 0.1827 d1.loss_iou: 0.2931 d2.loss_cls: 0.3373 d2.loss_bbox: 0.1804 d2.loss_iou: 0.2913 d3.loss_cls: 0.3318 d3.loss_bbox: 0.1793 d3.loss_iou: 0.2882 d4.loss_cls: 0.3289 d4.loss_bbox: 0.1796 d4.loss_iou: 0.2872 enc_loss_cls: 0.3904 enc_loss_bbox: 0.2101 enc_loss_iou: 0.3324 dn_loss_cls: 0.0992 dn_loss_bbox: 0.2099 dn_loss_iou: 0.2381 d0.dn_loss_cls: 0.1860 d0.dn_loss_bbox: 0.3838 d0.dn_loss_iou: 0.3948 d1.dn_loss_cls: 0.1279 d1.dn_loss_bbox: 0.2475 d1.dn_loss_iou: 0.2725 d2.dn_loss_cls: 0.1095 d2.dn_loss_bbox: 0.2170 d2.dn_loss_iou: 0.2473 d3.dn_loss_cls: 0.1036 d3.dn_loss_bbox: 0.2106 d3.dn_loss_iou: 0.2395 d4.dn_loss_cls: 0.0990 d4.dn_loss_bbox: 0.2100 d4.dn_loss_iou: 0.2382 d1.loss_lmm_region: 0.1534 loss_lmm_image: 0.7969 +2024/11/07 22:34:08 - mmengine - INFO - Iter(train) [ 61600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:43:30 time: 1.0130 data_time: 0.0178 memory: 23912 grad_norm: 25.0113 loss: 10.2243 loss_cls: 0.3161 loss_bbox: 0.1533 loss_iou: 0.2974 d0.loss_cls: 0.3549 d0.loss_bbox: 0.1682 d0.loss_iou: 0.3185 d1.loss_cls: 0.3393 d1.loss_bbox: 0.1532 d1.loss_iou: 0.3036 d2.loss_cls: 0.3332 d2.loss_bbox: 0.1499 d2.loss_iou: 0.2980 d3.loss_cls: 0.3235 d3.loss_bbox: 0.1550 d3.loss_iou: 0.2959 d4.loss_cls: 0.3166 d4.loss_bbox: 0.1520 d4.loss_iou: 0.2969 enc_loss_cls: 0.3694 enc_loss_bbox: 0.1796 enc_loss_iou: 0.3403 dn_loss_cls: 0.0907 dn_loss_bbox: 0.1860 dn_loss_iou: 0.2416 d0.dn_loss_cls: 0.1840 d0.dn_loss_bbox: 0.3356 d0.dn_loss_iou: 0.3930 d1.dn_loss_cls: 0.1238 d1.dn_loss_bbox: 0.2143 d1.dn_loss_iou: 0.2730 d2.dn_loss_cls: 0.1063 d2.dn_loss_bbox: 0.1932 d2.dn_loss_iou: 0.2503 d3.dn_loss_cls: 0.0950 d3.dn_loss_bbox: 0.1873 d3.dn_loss_iou: 0.2427 d4.dn_loss_cls: 0.0910 d4.dn_loss_bbox: 0.1861 d4.dn_loss_iou: 0.2416 d1.loss_lmm_region: 0.1492 loss_lmm_image: 0.8249 +2024/11/07 22:35:50 - mmengine - INFO - Iter(train) [ 61700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:41:41 time: 1.0193 data_time: 0.0177 memory: 23787 grad_norm: 23.1660 loss: 10.2409 loss_cls: 0.3407 loss_bbox: 0.1461 loss_iou: 0.2890 d0.loss_cls: 0.3993 d0.loss_bbox: 0.1545 d0.loss_iou: 0.3063 d1.loss_cls: 0.3663 d1.loss_bbox: 0.1557 d1.loss_iou: 0.2985 d2.loss_cls: 0.3544 d2.loss_bbox: 0.1468 d2.loss_iou: 0.2924 d3.loss_cls: 0.3511 d3.loss_bbox: 0.1436 d3.loss_iou: 0.2872 d4.loss_cls: 0.3430 d4.loss_bbox: 0.1454 d4.loss_iou: 0.2882 enc_loss_cls: 0.4037 enc_loss_bbox: 0.1780 enc_loss_iou: 0.3318 dn_loss_cls: 0.1044 dn_loss_bbox: 0.1747 dn_loss_iou: 0.2302 d0.dn_loss_cls: 0.1944 d0.dn_loss_bbox: 0.3246 d0.dn_loss_iou: 0.3800 d1.dn_loss_cls: 0.1387 d1.dn_loss_bbox: 0.2043 d1.dn_loss_iou: 0.2610 d2.dn_loss_cls: 0.1200 d2.dn_loss_bbox: 0.1837 d2.dn_loss_iou: 0.2405 d3.dn_loss_cls: 0.1104 d3.dn_loss_bbox: 0.1768 d3.dn_loss_iou: 0.2318 d4.dn_loss_cls: 0.1048 d4.dn_loss_bbox: 0.1747 d4.dn_loss_iou: 0.2301 d1.loss_lmm_region: 0.1482 loss_lmm_image: 0.7856 +2024/11/07 22:37:32 - mmengine - INFO - Iter(train) [ 61800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:39:52 time: 1.0111 data_time: 0.0179 memory: 22928 grad_norm: 20.0719 loss: 9.1817 loss_cls: 0.2712 loss_bbox: 0.1366 loss_iou: 0.2172 d0.loss_cls: 0.2991 d0.loss_bbox: 0.1535 d0.loss_iou: 0.2376 d1.loss_cls: 0.2873 d1.loss_bbox: 0.1427 d1.loss_iou: 0.2253 d2.loss_cls: 0.2830 d2.loss_bbox: 0.1371 d2.loss_iou: 0.2194 d3.loss_cls: 0.2773 d3.loss_bbox: 0.1324 d3.loss_iou: 0.2147 d4.loss_cls: 0.2738 d4.loss_bbox: 0.1345 d4.loss_iou: 0.2159 enc_loss_cls: 0.3064 enc_loss_bbox: 0.1776 enc_loss_iou: 0.2627 dn_loss_cls: 0.0974 dn_loss_bbox: 0.1922 dn_loss_iou: 0.2285 d0.dn_loss_cls: 0.1727 d0.dn_loss_bbox: 0.3671 d0.dn_loss_iou: 0.3835 d1.dn_loss_cls: 0.1251 d1.dn_loss_bbox: 0.2345 d1.dn_loss_iou: 0.2654 d2.dn_loss_cls: 0.1110 d2.dn_loss_bbox: 0.2036 d2.dn_loss_iou: 0.2395 d3.dn_loss_cls: 0.1038 d3.dn_loss_bbox: 0.1936 d3.dn_loss_iou: 0.2308 d4.dn_loss_cls: 0.0991 d4.dn_loss_bbox: 0.1920 d4.dn_loss_iou: 0.2286 d1.loss_lmm_region: 0.1408 loss_lmm_image: 0.7673 +2024/11/07 22:39:13 - mmengine - INFO - Iter(train) [ 61900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:38:03 time: 1.0141 data_time: 0.0179 memory: 23315 grad_norm: 21.8382 loss: 9.5959 loss_cls: 0.3233 loss_bbox: 0.1403 loss_iou: 0.2717 d0.loss_cls: 0.3609 d0.loss_bbox: 0.1572 d0.loss_iou: 0.2950 d1.loss_cls: 0.3428 d1.loss_bbox: 0.1467 d1.loss_iou: 0.2754 d2.loss_cls: 0.3347 d2.loss_bbox: 0.1420 d2.loss_iou: 0.2723 d3.loss_cls: 0.3318 d3.loss_bbox: 0.1375 d3.loss_iou: 0.2696 d4.loss_cls: 0.3235 d4.loss_bbox: 0.1425 d4.loss_iou: 0.2717 enc_loss_cls: 0.3814 enc_loss_bbox: 0.1660 enc_loss_iou: 0.3141 dn_loss_cls: 0.0843 dn_loss_bbox: 0.1464 dn_loss_iou: 0.2096 d0.dn_loss_cls: 0.1729 d0.dn_loss_bbox: 0.2929 d0.dn_loss_iou: 0.3541 d1.dn_loss_cls: 0.1176 d1.dn_loss_bbox: 0.1810 d1.dn_loss_iou: 0.2425 d2.dn_loss_cls: 0.1024 d2.dn_loss_bbox: 0.1568 d2.dn_loss_iou: 0.2191 d3.dn_loss_cls: 0.0904 d3.dn_loss_bbox: 0.1488 d3.dn_loss_iou: 0.2118 d4.dn_loss_cls: 0.0850 d4.dn_loss_bbox: 0.1464 d4.dn_loss_iou: 0.2096 d1.loss_lmm_region: 0.1820 loss_lmm_image: 0.8417 +2024/11/07 22:40:56 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/07 22:40:56 - mmengine - INFO - Iter(train) [ 62000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:36:15 time: 1.0283 data_time: 0.0180 memory: 22889 grad_norm: 21.0065 loss: 7.9122 loss_cls: 0.2372 loss_bbox: 0.0971 loss_iou: 0.1802 d0.loss_cls: 0.2645 d0.loss_bbox: 0.1115 d0.loss_iou: 0.1972 d1.loss_cls: 0.2582 d1.loss_bbox: 0.1032 d1.loss_iou: 0.1863 d2.loss_cls: 0.2530 d2.loss_bbox: 0.0963 d2.loss_iou: 0.1805 d3.loss_cls: 0.2466 d3.loss_bbox: 0.0956 d3.loss_iou: 0.1790 d4.loss_cls: 0.2391 d4.loss_bbox: 0.0968 d4.loss_iou: 0.1800 enc_loss_cls: 0.2842 enc_loss_bbox: 0.1253 enc_loss_iou: 0.2203 dn_loss_cls: 0.1222 dn_loss_bbox: 0.1431 dn_loss_iou: 0.1787 d0.dn_loss_cls: 0.1994 d0.dn_loss_bbox: 0.2798 d0.dn_loss_iou: 0.3248 d1.dn_loss_cls: 0.1458 d1.dn_loss_bbox: 0.1726 d1.dn_loss_iou: 0.2149 d2.dn_loss_cls: 0.1279 d2.dn_loss_bbox: 0.1501 d2.dn_loss_iou: 0.1888 d3.dn_loss_cls: 0.1245 d3.dn_loss_bbox: 0.1441 d3.dn_loss_iou: 0.1804 d4.dn_loss_cls: 0.1187 d4.dn_loss_bbox: 0.1432 d4.dn_loss_iou: 0.1787 d1.loss_lmm_region: 0.1453 loss_lmm_image: 0.7972 +2024/11/07 22:42:38 - mmengine - INFO - Iter(train) [ 62100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:34:27 time: 1.0279 data_time: 0.0178 memory: 23612 grad_norm: 23.9245 loss: 9.0068 loss_cls: 0.2654 loss_bbox: 0.1330 loss_iou: 0.2377 d0.loss_cls: 0.2914 d0.loss_bbox: 0.1504 d0.loss_iou: 0.2537 d1.loss_cls: 0.2848 d1.loss_bbox: 0.1388 d1.loss_iou: 0.2412 d2.loss_cls: 0.2743 d2.loss_bbox: 0.1331 d2.loss_iou: 0.2374 d3.loss_cls: 0.2695 d3.loss_bbox: 0.1341 d3.loss_iou: 0.2381 d4.loss_cls: 0.2684 d4.loss_bbox: 0.1330 d4.loss_iou: 0.2375 enc_loss_cls: 0.3046 enc_loss_bbox: 0.1711 enc_loss_iou: 0.2754 dn_loss_cls: 0.0853 dn_loss_bbox: 0.1753 dn_loss_iou: 0.2159 d0.dn_loss_cls: 0.1534 d0.dn_loss_bbox: 0.3365 d0.dn_loss_iou: 0.3615 d1.dn_loss_cls: 0.1081 d1.dn_loss_bbox: 0.2126 d1.dn_loss_iou: 0.2497 d2.dn_loss_cls: 0.0956 d2.dn_loss_bbox: 0.1851 d2.dn_loss_iou: 0.2244 d3.dn_loss_cls: 0.0883 d3.dn_loss_bbox: 0.1770 d3.dn_loss_iou: 0.2175 d4.dn_loss_cls: 0.0864 d4.dn_loss_bbox: 0.1753 d4.dn_loss_iou: 0.2160 d1.loss_lmm_region: 0.1423 loss_lmm_image: 0.8277 +2024/11/07 22:44:20 - mmengine - INFO - Iter(train) [ 62200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:32:38 time: 1.0150 data_time: 0.0179 memory: 22632 grad_norm: 23.2728 loss: 9.0256 loss_cls: 0.2874 loss_bbox: 0.1253 loss_iou: 0.2262 d0.loss_cls: 0.3205 d0.loss_bbox: 0.1430 d0.loss_iou: 0.2496 d1.loss_cls: 0.3038 d1.loss_bbox: 0.1292 d1.loss_iou: 0.2340 d2.loss_cls: 0.2956 d2.loss_bbox: 0.1249 d2.loss_iou: 0.2293 d3.loss_cls: 0.2909 d3.loss_bbox: 0.1261 d3.loss_iou: 0.2301 d4.loss_cls: 0.2899 d4.loss_bbox: 0.1250 d4.loss_iou: 0.2258 enc_loss_cls: 0.3376 enc_loss_bbox: 0.1493 enc_loss_iou: 0.2648 dn_loss_cls: 0.0871 dn_loss_bbox: 0.1745 dn_loss_iou: 0.2105 d0.dn_loss_cls: 0.1740 d0.dn_loss_bbox: 0.3301 d0.dn_loss_iou: 0.3524 d1.dn_loss_cls: 0.1174 d1.dn_loss_bbox: 0.2080 d1.dn_loss_iou: 0.2436 d2.dn_loss_cls: 0.0996 d2.dn_loss_bbox: 0.1837 d2.dn_loss_iou: 0.2193 d3.dn_loss_cls: 0.0926 d3.dn_loss_bbox: 0.1758 d3.dn_loss_iou: 0.2123 d4.dn_loss_cls: 0.0887 d4.dn_loss_bbox: 0.1745 d4.dn_loss_iou: 0.2105 d1.loss_lmm_region: 0.1612 loss_lmm_image: 0.8016 +2024/11/07 22:46:02 - mmengine - INFO - Iter(train) [ 62300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:30:50 time: 1.0172 data_time: 0.0177 memory: 23836 grad_norm: 20.3259 loss: 9.3214 loss_cls: 0.2972 loss_bbox: 0.1453 loss_iou: 0.2863 d0.loss_cls: 0.3160 d0.loss_bbox: 0.1556 d0.loss_iou: 0.3082 d1.loss_cls: 0.3050 d1.loss_bbox: 0.1484 d1.loss_iou: 0.2894 d2.loss_cls: 0.2971 d2.loss_bbox: 0.1472 d2.loss_iou: 0.2861 d3.loss_cls: 0.2941 d3.loss_bbox: 0.1468 d3.loss_iou: 0.2901 d4.loss_cls: 0.2949 d4.loss_bbox: 0.1447 d4.loss_iou: 0.2867 enc_loss_cls: 0.3359 enc_loss_bbox: 0.1743 enc_loss_iou: 0.3304 dn_loss_cls: 0.0897 dn_loss_bbox: 0.1407 dn_loss_iou: 0.2069 d0.dn_loss_cls: 0.1634 d0.dn_loss_bbox: 0.2621 d0.dn_loss_iou: 0.3436 d1.dn_loss_cls: 0.1150 d1.dn_loss_bbox: 0.1650 d1.dn_loss_iou: 0.2376 d2.dn_loss_cls: 0.1013 d2.dn_loss_bbox: 0.1455 d2.dn_loss_iou: 0.2150 d3.dn_loss_cls: 0.0943 d3.dn_loss_bbox: 0.1408 d3.dn_loss_iou: 0.2080 d4.dn_loss_cls: 0.0898 d4.dn_loss_bbox: 0.1407 d4.dn_loss_iou: 0.2069 d1.loss_lmm_region: 0.1504 loss_lmm_image: 0.8250 +2024/11/07 22:47:44 - mmengine - INFO - Iter(train) [ 62400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:29:01 time: 1.0116 data_time: 0.0177 memory: 23599 grad_norm: 25.2381 loss: 10.2870 loss_cls: 0.3413 loss_bbox: 0.1532 loss_iou: 0.3160 d0.loss_cls: 0.3711 d0.loss_bbox: 0.1753 d0.loss_iou: 0.3486 d1.loss_cls: 0.3556 d1.loss_bbox: 0.1609 d1.loss_iou: 0.3279 d2.loss_cls: 0.3474 d2.loss_bbox: 0.1548 d2.loss_iou: 0.3208 d3.loss_cls: 0.3430 d3.loss_bbox: 0.1549 d3.loss_iou: 0.3171 d4.loss_cls: 0.3392 d4.loss_bbox: 0.1522 d4.loss_iou: 0.3157 enc_loss_cls: 0.3922 enc_loss_bbox: 0.1867 enc_loss_iou: 0.3764 dn_loss_cls: 0.0869 dn_loss_bbox: 0.1534 dn_loss_iou: 0.2263 d0.dn_loss_cls: 0.1771 d0.dn_loss_bbox: 0.3079 d0.dn_loss_iou: 0.3814 d1.dn_loss_cls: 0.1249 d1.dn_loss_bbox: 0.1948 d1.dn_loss_iou: 0.2656 d2.dn_loss_cls: 0.1092 d2.dn_loss_bbox: 0.1650 d2.dn_loss_iou: 0.2368 d3.dn_loss_cls: 0.0967 d3.dn_loss_bbox: 0.1546 d3.dn_loss_iou: 0.2276 d4.dn_loss_cls: 0.0889 d4.dn_loss_bbox: 0.1535 d4.dn_loss_iou: 0.2261 d1.loss_lmm_region: 0.1514 loss_lmm_image: 0.8091 +2024/11/07 22:49:27 - mmengine - INFO - Iter(train) [ 62500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:27:13 time: 1.0277 data_time: 0.0176 memory: 24001 grad_norm: 20.6865 loss: 9.8496 loss_cls: 0.3012 loss_bbox: 0.1603 loss_iou: 0.3056 d0.loss_cls: 0.3279 d0.loss_bbox: 0.1720 d0.loss_iou: 0.3206 d1.loss_cls: 0.3193 d1.loss_bbox: 0.1593 d1.loss_iou: 0.3072 d2.loss_cls: 0.3072 d2.loss_bbox: 0.1619 d2.loss_iou: 0.3070 d3.loss_cls: 0.3042 d3.loss_bbox: 0.1607 d3.loss_iou: 0.3048 d4.loss_cls: 0.3014 d4.loss_bbox: 0.1613 d4.loss_iou: 0.3055 enc_loss_cls: 0.3443 enc_loss_bbox: 0.1830 enc_loss_iou: 0.3355 dn_loss_cls: 0.0937 dn_loss_bbox: 0.1583 dn_loss_iou: 0.2295 d0.dn_loss_cls: 0.1767 d0.dn_loss_bbox: 0.2905 d0.dn_loss_iou: 0.3764 d1.dn_loss_cls: 0.1267 d1.dn_loss_bbox: 0.1843 d1.dn_loss_iou: 0.2595 d2.dn_loss_cls: 0.1064 d2.dn_loss_bbox: 0.1632 d2.dn_loss_iou: 0.2358 d3.dn_loss_cls: 0.0994 d3.dn_loss_bbox: 0.1589 d3.dn_loss_iou: 0.2305 d4.dn_loss_cls: 0.0936 d4.dn_loss_bbox: 0.1581 d4.dn_loss_iou: 0.2294 d1.loss_lmm_region: 0.1293 loss_lmm_image: 0.7997 +2024/11/07 22:51:09 - mmengine - INFO - Iter(train) [ 62600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:25:26 time: 1.0201 data_time: 0.0177 memory: 23791 grad_norm: 23.6987 loss: 10.7548 loss_cls: 0.3381 loss_bbox: 0.2035 loss_iou: 0.3091 d0.loss_cls: 0.3720 d0.loss_bbox: 0.2198 d0.loss_iou: 0.3228 d1.loss_cls: 0.3516 d1.loss_bbox: 0.2113 d1.loss_iou: 0.3129 d2.loss_cls: 0.3459 d2.loss_bbox: 0.2064 d2.loss_iou: 0.3113 d3.loss_cls: 0.3443 d3.loss_bbox: 0.2029 d3.loss_iou: 0.3050 d4.loss_cls: 0.3376 d4.loss_bbox: 0.2045 d4.loss_iou: 0.3095 enc_loss_cls: 0.3887 enc_loss_bbox: 0.2351 enc_loss_iou: 0.3453 dn_loss_cls: 0.0957 dn_loss_bbox: 0.1797 dn_loss_iou: 0.2449 d0.dn_loss_cls: 0.1824 d0.dn_loss_bbox: 0.3311 d0.dn_loss_iou: 0.3925 d1.dn_loss_cls: 0.1216 d1.dn_loss_bbox: 0.2095 d1.dn_loss_iou: 0.2752 d2.dn_loss_cls: 0.1063 d2.dn_loss_bbox: 0.1875 d2.dn_loss_iou: 0.2521 d3.dn_loss_cls: 0.1011 d3.dn_loss_bbox: 0.1809 d3.dn_loss_iou: 0.2455 d4.dn_loss_cls: 0.0950 d4.dn_loss_bbox: 0.1798 d4.dn_loss_iou: 0.2446 d1.loss_lmm_region: 0.1499 loss_lmm_image: 0.8019 +2024/11/07 22:52:52 - mmengine - INFO - Iter(train) [ 62700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:23:38 time: 1.0173 data_time: 0.0175 memory: 24103 grad_norm: 23.9827 loss: 9.0763 loss_cls: 0.2938 loss_bbox: 0.1301 loss_iou: 0.2635 d0.loss_cls: 0.3177 d0.loss_bbox: 0.1480 d0.loss_iou: 0.2885 d1.loss_cls: 0.3077 d1.loss_bbox: 0.1357 d1.loss_iou: 0.2720 d2.loss_cls: 0.3012 d2.loss_bbox: 0.1315 d2.loss_iou: 0.2658 d3.loss_cls: 0.2964 d3.loss_bbox: 0.1312 d3.loss_iou: 0.2635 d4.loss_cls: 0.2954 d4.loss_bbox: 0.1281 d4.loss_iou: 0.2623 enc_loss_cls: 0.3363 enc_loss_bbox: 0.1565 enc_loss_iou: 0.3062 dn_loss_cls: 0.0711 dn_loss_bbox: 0.1457 dn_loss_iou: 0.2149 d0.dn_loss_cls: 0.1623 d0.dn_loss_bbox: 0.2729 d0.dn_loss_iou: 0.3579 d1.dn_loss_cls: 0.1030 d1.dn_loss_bbox: 0.1721 d1.dn_loss_iou: 0.2449 d2.dn_loss_cls: 0.0854 d2.dn_loss_bbox: 0.1543 d2.dn_loss_iou: 0.2240 d3.dn_loss_cls: 0.0766 d3.dn_loss_bbox: 0.1469 d3.dn_loss_iou: 0.2160 d4.dn_loss_cls: 0.0732 d4.dn_loss_bbox: 0.1458 d4.dn_loss_iou: 0.2146 d1.loss_lmm_region: 0.1512 loss_lmm_image: 0.8122 +2024/11/07 22:54:34 - mmengine - INFO - Iter(train) [ 62800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:21:50 time: 1.0284 data_time: 0.0177 memory: 23070 grad_norm: 25.2392 loss: 8.3911 loss_cls: 0.2718 loss_bbox: 0.1044 loss_iou: 0.2070 d0.loss_cls: 0.3053 d0.loss_bbox: 0.1176 d0.loss_iou: 0.2291 d1.loss_cls: 0.2892 d1.loss_bbox: 0.1132 d1.loss_iou: 0.2164 d2.loss_cls: 0.2835 d2.loss_bbox: 0.1059 d2.loss_iou: 0.2093 d3.loss_cls: 0.2769 d3.loss_bbox: 0.1052 d3.loss_iou: 0.2059 d4.loss_cls: 0.2739 d4.loss_bbox: 0.1045 d4.loss_iou: 0.2076 enc_loss_cls: 0.3145 enc_loss_bbox: 0.1352 enc_loss_iou: 0.2486 dn_loss_cls: 0.0791 dn_loss_bbox: 0.1524 dn_loss_iou: 0.2040 d0.dn_loss_cls: 0.1613 d0.dn_loss_bbox: 0.2829 d0.dn_loss_iou: 0.3379 d1.dn_loss_cls: 0.1056 d1.dn_loss_bbox: 0.1771 d1.dn_loss_iou: 0.2310 d2.dn_loss_cls: 0.0909 d2.dn_loss_bbox: 0.1600 d2.dn_loss_iou: 0.2111 d3.dn_loss_cls: 0.0832 d3.dn_loss_bbox: 0.1536 d3.dn_loss_iou: 0.2051 d4.dn_loss_cls: 0.0798 d4.dn_loss_bbox: 0.1525 d4.dn_loss_iou: 0.2039 d1.loss_lmm_region: 0.1410 loss_lmm_image: 0.8536 +2024/11/07 22:56:16 - mmengine - INFO - Iter(train) [ 62900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:20:01 time: 1.0184 data_time: 0.0177 memory: 23578 grad_norm: 23.5403 loss: 9.8044 loss_cls: 0.3161 loss_bbox: 0.1328 loss_iou: 0.2654 d0.loss_cls: 0.3493 d0.loss_bbox: 0.1482 d0.loss_iou: 0.2836 d1.loss_cls: 0.3346 d1.loss_bbox: 0.1346 d1.loss_iou: 0.2682 d2.loss_cls: 0.3295 d2.loss_bbox: 0.1324 d2.loss_iou: 0.2639 d3.loss_cls: 0.3239 d3.loss_bbox: 0.1310 d3.loss_iou: 0.2638 d4.loss_cls: 0.3183 d4.loss_bbox: 0.1323 d4.loss_iou: 0.2634 enc_loss_cls: 0.3620 enc_loss_bbox: 0.1613 enc_loss_iou: 0.3017 dn_loss_cls: 0.0904 dn_loss_bbox: 0.1741 dn_loss_iou: 0.2429 d0.dn_loss_cls: 0.1822 d0.dn_loss_bbox: 0.3349 d0.dn_loss_iou: 0.4009 d1.dn_loss_cls: 0.1271 d1.dn_loss_bbox: 0.2062 d1.dn_loss_iou: 0.2764 d2.dn_loss_cls: 0.1089 d2.dn_loss_bbox: 0.1812 d2.dn_loss_iou: 0.2513 d3.dn_loss_cls: 0.0985 d3.dn_loss_bbox: 0.1757 d3.dn_loss_iou: 0.2445 d4.dn_loss_cls: 0.0924 d4.dn_loss_bbox: 0.1740 d4.dn_loss_iou: 0.2427 d1.loss_lmm_region: 0.1508 loss_lmm_image: 0.8329 +2024/11/07 22:57:58 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/07 22:57:58 - mmengine - INFO - Iter(train) [ 63000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:18:13 time: 1.0175 data_time: 0.0176 memory: 23776 grad_norm: 21.6170 loss: 10.5049 loss_cls: 0.3335 loss_bbox: 0.1649 loss_iou: 0.3088 d0.loss_cls: 0.3732 d0.loss_bbox: 0.1909 d0.loss_iou: 0.3308 d1.loss_cls: 0.3561 d1.loss_bbox: 0.1760 d1.loss_iou: 0.3130 d2.loss_cls: 0.3420 d2.loss_bbox: 0.1711 d2.loss_iou: 0.3098 d3.loss_cls: 0.3351 d3.loss_bbox: 0.1705 d3.loss_iou: 0.3097 d4.loss_cls: 0.3312 d4.loss_bbox: 0.1668 d4.loss_iou: 0.3104 enc_loss_cls: 0.3962 enc_loss_bbox: 0.2005 enc_loss_iou: 0.3463 dn_loss_cls: 0.0791 dn_loss_bbox: 0.1860 dn_loss_iou: 0.2408 d0.dn_loss_cls: 0.1690 d0.dn_loss_bbox: 0.3403 d0.dn_loss_iou: 0.4000 d1.dn_loss_cls: 0.1133 d1.dn_loss_bbox: 0.2260 d1.dn_loss_iou: 0.2787 d2.dn_loss_cls: 0.0998 d2.dn_loss_bbox: 0.1956 d2.dn_loss_iou: 0.2512 d3.dn_loss_cls: 0.0877 d3.dn_loss_bbox: 0.1876 d3.dn_loss_iou: 0.2427 d4.dn_loss_cls: 0.0812 d4.dn_loss_bbox: 0.1858 d4.dn_loss_iou: 0.2408 d1.loss_lmm_region: 0.1498 loss_lmm_image: 0.8128 +2024/11/07 22:59:40 - mmengine - INFO - Iter(train) [ 63100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:16:24 time: 1.0216 data_time: 0.0177 memory: 23048 grad_norm: 22.3128 loss: 10.9905 loss_cls: 0.3332 loss_bbox: 0.1735 loss_iou: 0.3025 d0.loss_cls: 0.3727 d0.loss_bbox: 0.1824 d0.loss_iou: 0.3161 d1.loss_cls: 0.3493 d1.loss_bbox: 0.1791 d1.loss_iou: 0.3094 d2.loss_cls: 0.3438 d2.loss_bbox: 0.1755 d2.loss_iou: 0.3080 d3.loss_cls: 0.3390 d3.loss_bbox: 0.1759 d3.loss_iou: 0.3049 d4.loss_cls: 0.3346 d4.loss_bbox: 0.1756 d4.loss_iou: 0.3044 enc_loss_cls: 0.3852 enc_loss_bbox: 0.1968 enc_loss_iou: 0.3388 dn_loss_cls: 0.1121 dn_loss_bbox: 0.2247 dn_loss_iou: 0.2649 d0.dn_loss_cls: 0.2013 d0.dn_loss_bbox: 0.3728 d0.dn_loss_iou: 0.4172 d1.dn_loss_cls: 0.1439 d1.dn_loss_bbox: 0.2536 d1.dn_loss_iou: 0.2977 d2.dn_loss_cls: 0.1278 d2.dn_loss_bbox: 0.2309 d2.dn_loss_iou: 0.2731 d3.dn_loss_cls: 0.1206 d3.dn_loss_bbox: 0.2257 d3.dn_loss_iou: 0.2658 d4.dn_loss_cls: 0.1137 d4.dn_loss_bbox: 0.2247 d4.dn_loss_iou: 0.2648 d1.loss_lmm_region: 0.1536 loss_lmm_image: 0.8009 +2024/11/07 23:01:22 - mmengine - INFO - Iter(train) [ 63200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:14:36 time: 1.0121 data_time: 0.0178 memory: 23637 grad_norm: 22.8545 loss: 8.9533 loss_cls: 0.2541 loss_bbox: 0.1340 loss_iou: 0.2341 d0.loss_cls: 0.2930 d0.loss_bbox: 0.1452 d0.loss_iou: 0.2505 d1.loss_cls: 0.2765 d1.loss_bbox: 0.1362 d1.loss_iou: 0.2411 d2.loss_cls: 0.2651 d2.loss_bbox: 0.1335 d2.loss_iou: 0.2361 d3.loss_cls: 0.2621 d3.loss_bbox: 0.1333 d3.loss_iou: 0.2339 d4.loss_cls: 0.2567 d4.loss_bbox: 0.1339 d4.loss_iou: 0.2343 enc_loss_cls: 0.3068 enc_loss_bbox: 0.1596 enc_loss_iou: 0.2691 dn_loss_cls: 0.0909 dn_loss_bbox: 0.1746 dn_loss_iou: 0.2149 d0.dn_loss_cls: 0.1757 d0.dn_loss_bbox: 0.3313 d0.dn_loss_iou: 0.3682 d1.dn_loss_cls: 0.1183 d1.dn_loss_bbox: 0.2078 d1.dn_loss_iou: 0.2475 d2.dn_loss_cls: 0.1056 d2.dn_loss_bbox: 0.1832 d2.dn_loss_iou: 0.2235 d3.dn_loss_cls: 0.0960 d3.dn_loss_bbox: 0.1766 d3.dn_loss_iou: 0.2164 d4.dn_loss_cls: 0.0914 d4.dn_loss_bbox: 0.1747 d4.dn_loss_iou: 0.2150 d1.loss_lmm_region: 0.1365 loss_lmm_image: 0.8161 +2024/11/07 23:03:05 - mmengine - INFO - Iter(train) [ 63300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:12:48 time: 1.0141 data_time: 0.0177 memory: 23256 grad_norm: 21.8045 loss: 9.3569 loss_cls: 0.3044 loss_bbox: 0.1376 loss_iou: 0.2706 d0.loss_cls: 0.3390 d0.loss_bbox: 0.1517 d0.loss_iou: 0.2908 d1.loss_cls: 0.3277 d1.loss_bbox: 0.1397 d1.loss_iou: 0.2751 d2.loss_cls: 0.3169 d2.loss_bbox: 0.1365 d2.loss_iou: 0.2706 d3.loss_cls: 0.3114 d3.loss_bbox: 0.1371 d3.loss_iou: 0.2692 d4.loss_cls: 0.3086 d4.loss_bbox: 0.1361 d4.loss_iou: 0.2687 enc_loss_cls: 0.3601 enc_loss_bbox: 0.1678 enc_loss_iou: 0.3155 dn_loss_cls: 0.0725 dn_loss_bbox: 0.1533 dn_loss_iou: 0.2142 d0.dn_loss_cls: 0.1600 d0.dn_loss_bbox: 0.3004 d0.dn_loss_iou: 0.3600 d1.dn_loss_cls: 0.1033 d1.dn_loss_bbox: 0.1814 d1.dn_loss_iou: 0.2454 d2.dn_loss_cls: 0.0856 d2.dn_loss_bbox: 0.1606 d2.dn_loss_iou: 0.2233 d3.dn_loss_cls: 0.0764 d3.dn_loss_bbox: 0.1541 d3.dn_loss_iou: 0.2152 d4.dn_loss_cls: 0.0730 d4.dn_loss_bbox: 0.1533 d4.dn_loss_iou: 0.2142 d1.loss_lmm_region: 0.1429 loss_lmm_image: 0.8326 +2024/11/07 23:04:47 - mmengine - INFO - Iter(train) [ 63400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:11:01 time: 1.0257 data_time: 0.0178 memory: 24719 grad_norm: 22.8526 loss: 9.3452 loss_cls: 0.2804 loss_bbox: 0.1476 loss_iou: 0.2871 d0.loss_cls: 0.3158 d0.loss_bbox: 0.1654 d0.loss_iou: 0.3041 d1.loss_cls: 0.2978 d1.loss_bbox: 0.1569 d1.loss_iou: 0.2945 d2.loss_cls: 0.2925 d2.loss_bbox: 0.1480 d2.loss_iou: 0.2855 d3.loss_cls: 0.2874 d3.loss_bbox: 0.1476 d3.loss_iou: 0.2868 d4.loss_cls: 0.2841 d4.loss_bbox: 0.1440 d4.loss_iou: 0.2850 enc_loss_cls: 0.3302 enc_loss_bbox: 0.1781 enc_loss_iou: 0.3226 dn_loss_cls: 0.0676 dn_loss_bbox: 0.1603 dn_loss_iou: 0.2196 d0.dn_loss_cls: 0.1454 d0.dn_loss_bbox: 0.3086 d0.dn_loss_iou: 0.3608 d1.dn_loss_cls: 0.0983 d1.dn_loss_bbox: 0.1885 d1.dn_loss_iou: 0.2497 d2.dn_loss_cls: 0.0843 d2.dn_loss_bbox: 0.1685 d2.dn_loss_iou: 0.2279 d3.dn_loss_cls: 0.0733 d3.dn_loss_bbox: 0.1611 d3.dn_loss_iou: 0.2208 d4.dn_loss_cls: 0.0681 d4.dn_loss_bbox: 0.1602 d4.dn_loss_iou: 0.2196 d1.loss_lmm_region: 0.1445 loss_lmm_image: 0.7763 +2024/11/07 23:06:30 - mmengine - INFO - Iter(train) [ 63500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:09:13 time: 1.0260 data_time: 0.0176 memory: 23963 grad_norm: 22.9970 loss: 9.7567 loss_cls: 0.3039 loss_bbox: 0.1407 loss_iou: 0.2590 d0.loss_cls: 0.3399 d0.loss_bbox: 0.1580 d0.loss_iou: 0.2738 d1.loss_cls: 0.3282 d1.loss_bbox: 0.1442 d1.loss_iou: 0.2638 d2.loss_cls: 0.3132 d2.loss_bbox: 0.1449 d2.loss_iou: 0.2625 d3.loss_cls: 0.3098 d3.loss_bbox: 0.1414 d3.loss_iou: 0.2564 d4.loss_cls: 0.3053 d4.loss_bbox: 0.1414 d4.loss_iou: 0.2588 enc_loss_cls: 0.3534 enc_loss_bbox: 0.1669 enc_loss_iou: 0.2954 dn_loss_cls: 0.1077 dn_loss_bbox: 0.1777 dn_loss_iou: 0.2390 d0.dn_loss_cls: 0.1929 d0.dn_loss_bbox: 0.3259 d0.dn_loss_iou: 0.3864 d1.dn_loss_cls: 0.1394 d1.dn_loss_bbox: 0.2121 d1.dn_loss_iou: 0.2747 d2.dn_loss_cls: 0.1233 d2.dn_loss_bbox: 0.1865 d2.dn_loss_iou: 0.2463 d3.dn_loss_cls: 0.1143 d3.dn_loss_bbox: 0.1790 d3.dn_loss_iou: 0.2402 d4.dn_loss_cls: 0.1083 d4.dn_loss_bbox: 0.1778 d4.dn_loss_iou: 0.2390 d1.loss_lmm_region: 0.1399 loss_lmm_image: 0.7855 +2024/11/07 23:08:12 - mmengine - INFO - Iter(train) [ 63600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:07:26 time: 1.0242 data_time: 0.0177 memory: 23965 grad_norm: 23.0748 loss: 9.0082 loss_cls: 0.2797 loss_bbox: 0.1138 loss_iou: 0.2345 d0.loss_cls: 0.3160 d0.loss_bbox: 0.1330 d0.loss_iou: 0.2501 d1.loss_cls: 0.3028 d1.loss_bbox: 0.1203 d1.loss_iou: 0.2375 d2.loss_cls: 0.2927 d2.loss_bbox: 0.1173 d2.loss_iou: 0.2358 d3.loss_cls: 0.2872 d3.loss_bbox: 0.1143 d3.loss_iou: 0.2328 d4.loss_cls: 0.2800 d4.loss_bbox: 0.1146 d4.loss_iou: 0.2351 enc_loss_cls: 0.3336 enc_loss_bbox: 0.1440 enc_loss_iou: 0.2703 dn_loss_cls: 0.0910 dn_loss_bbox: 0.1552 dn_loss_iou: 0.2217 d0.dn_loss_cls: 0.1801 d0.dn_loss_bbox: 0.3173 d0.dn_loss_iou: 0.3791 d1.dn_loss_cls: 0.1211 d1.dn_loss_bbox: 0.1918 d1.dn_loss_iou: 0.2550 d2.dn_loss_cls: 0.1047 d2.dn_loss_bbox: 0.1655 d2.dn_loss_iou: 0.2308 d3.dn_loss_cls: 0.0978 d3.dn_loss_bbox: 0.1574 d3.dn_loss_iou: 0.2233 d4.dn_loss_cls: 0.0919 d4.dn_loss_bbox: 0.1553 d4.dn_loss_iou: 0.2215 d1.loss_lmm_region: 0.1446 loss_lmm_image: 0.8575 +2024/11/07 23:09:55 - mmengine - INFO - Iter(train) [ 63700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:05:38 time: 1.0314 data_time: 0.0178 memory: 23750 grad_norm: 22.1622 loss: 9.0014 loss_cls: 0.2609 loss_bbox: 0.1424 loss_iou: 0.2405 d0.loss_cls: 0.2846 d0.loss_bbox: 0.1523 d0.loss_iou: 0.2568 d1.loss_cls: 0.2759 d1.loss_bbox: 0.1427 d1.loss_iou: 0.2443 d2.loss_cls: 0.2710 d2.loss_bbox: 0.1359 d2.loss_iou: 0.2376 d3.loss_cls: 0.2653 d3.loss_bbox: 0.1366 d3.loss_iou: 0.2376 d4.loss_cls: 0.2662 d4.loss_bbox: 0.1384 d4.loss_iou: 0.2385 enc_loss_cls: 0.3060 enc_loss_bbox: 0.1637 enc_loss_iou: 0.2738 dn_loss_cls: 0.0853 dn_loss_bbox: 0.1773 dn_loss_iou: 0.2229 d0.dn_loss_cls: 0.1637 d0.dn_loss_bbox: 0.3257 d0.dn_loss_iou: 0.3677 d1.dn_loss_cls: 0.1117 d1.dn_loss_bbox: 0.2124 d1.dn_loss_iou: 0.2568 d2.dn_loss_cls: 0.0962 d2.dn_loss_bbox: 0.1857 d2.dn_loss_iou: 0.2297 d3.dn_loss_cls: 0.0893 d3.dn_loss_bbox: 0.1786 d3.dn_loss_iou: 0.2238 d4.dn_loss_cls: 0.0869 d4.dn_loss_bbox: 0.1772 d4.dn_loss_iou: 0.2228 d1.loss_lmm_region: 0.1275 loss_lmm_image: 0.7892 +2024/11/07 23:11:38 - mmengine - INFO - Iter(train) [ 63800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:03:51 time: 1.0208 data_time: 0.0177 memory: 24950 grad_norm: 23.6453 loss: 9.5212 loss_cls: 0.3116 loss_bbox: 0.1295 loss_iou: 0.2611 d0.loss_cls: 0.3473 d0.loss_bbox: 0.1465 d0.loss_iou: 0.2772 d1.loss_cls: 0.3312 d1.loss_bbox: 0.1367 d1.loss_iou: 0.2678 d2.loss_cls: 0.3214 d2.loss_bbox: 0.1340 d2.loss_iou: 0.2638 d3.loss_cls: 0.3192 d3.loss_bbox: 0.1323 d3.loss_iou: 0.2643 d4.loss_cls: 0.3127 d4.loss_bbox: 0.1301 d4.loss_iou: 0.2606 enc_loss_cls: 0.3632 enc_loss_bbox: 0.1571 enc_loss_iou: 0.2963 dn_loss_cls: 0.0824 dn_loss_bbox: 0.1710 dn_loss_iou: 0.2331 d0.dn_loss_cls: 0.1618 d0.dn_loss_bbox: 0.3104 d0.dn_loss_iou: 0.3809 d1.dn_loss_cls: 0.1118 d1.dn_loss_bbox: 0.2024 d1.dn_loss_iou: 0.2660 d2.dn_loss_cls: 0.0941 d2.dn_loss_bbox: 0.1780 d2.dn_loss_iou: 0.2399 d3.dn_loss_cls: 0.0879 d3.dn_loss_bbox: 0.1715 d3.dn_loss_iou: 0.2343 d4.dn_loss_cls: 0.0843 d4.dn_loss_bbox: 0.1710 d4.dn_loss_iou: 0.2330 d1.loss_lmm_region: 0.1380 loss_lmm_image: 0.8055 +2024/11/07 23:13:20 - mmengine - INFO - Iter(train) [ 63900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:02:03 time: 1.0281 data_time: 0.0176 memory: 23855 grad_norm: 26.6046 loss: 10.0469 loss_cls: 0.3341 loss_bbox: 0.1474 loss_iou: 0.2749 d0.loss_cls: 0.3689 d0.loss_bbox: 0.1710 d0.loss_iou: 0.2991 d1.loss_cls: 0.3541 d1.loss_bbox: 0.1531 d1.loss_iou: 0.2851 d2.loss_cls: 0.3425 d2.loss_bbox: 0.1515 d2.loss_iou: 0.2808 d3.loss_cls: 0.3357 d3.loss_bbox: 0.1502 d3.loss_iou: 0.2780 d4.loss_cls: 0.3330 d4.loss_bbox: 0.1496 d4.loss_iou: 0.2763 enc_loss_cls: 0.3850 enc_loss_bbox: 0.1821 enc_loss_iou: 0.3211 dn_loss_cls: 0.0878 dn_loss_bbox: 0.1687 dn_loss_iou: 0.2304 d0.dn_loss_cls: 0.1809 d0.dn_loss_bbox: 0.3275 d0.dn_loss_iou: 0.3849 d1.dn_loss_cls: 0.1247 d1.dn_loss_bbox: 0.2021 d1.dn_loss_iou: 0.2639 d2.dn_loss_cls: 0.1039 d2.dn_loss_bbox: 0.1755 d2.dn_loss_iou: 0.2365 d3.dn_loss_cls: 0.0932 d3.dn_loss_bbox: 0.1690 d3.dn_loss_iou: 0.2309 d4.dn_loss_cls: 0.0891 d4.dn_loss_bbox: 0.1686 d4.dn_loss_iou: 0.2302 d1.loss_lmm_region: 0.1463 loss_lmm_image: 0.8593 +2024/11/07 23:15:03 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/07 23:15:03 - mmengine - INFO - Iter(train) [ 64000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:00:15 time: 1.0199 data_time: 0.0177 memory: 23617 grad_norm: 23.5321 loss: 10.2771 loss_cls: 0.3150 loss_bbox: 0.1632 loss_iou: 0.2734 d0.loss_cls: 0.3560 d0.loss_bbox: 0.1734 d0.loss_iou: 0.2886 d1.loss_cls: 0.3335 d1.loss_bbox: 0.1665 d1.loss_iou: 0.2797 d2.loss_cls: 0.3234 d2.loss_bbox: 0.1664 d2.loss_iou: 0.2777 d3.loss_cls: 0.3184 d3.loss_bbox: 0.1665 d3.loss_iou: 0.2757 d4.loss_cls: 0.3168 d4.loss_bbox: 0.1635 d4.loss_iou: 0.2735 enc_loss_cls: 0.3776 enc_loss_bbox: 0.1890 enc_loss_iou: 0.3183 dn_loss_cls: 0.1135 dn_loss_bbox: 0.1969 dn_loss_iou: 0.2354 d0.dn_loss_cls: 0.1937 d0.dn_loss_bbox: 0.3575 d0.dn_loss_iou: 0.3870 d1.dn_loss_cls: 0.1427 d1.dn_loss_bbox: 0.2273 d1.dn_loss_iou: 0.2684 d2.dn_loss_cls: 0.1267 d2.dn_loss_bbox: 0.2040 d2.dn_loss_iou: 0.2435 d3.dn_loss_cls: 0.1179 d3.dn_loss_bbox: 0.1979 d3.dn_loss_iou: 0.2367 d4.dn_loss_cls: 0.1145 d4.dn_loss_bbox: 0.1970 d4.dn_loss_iou: 0.2355 d1.loss_lmm_region: 0.1399 loss_lmm_image: 0.8251 +2024/11/07 23:16:44 - mmengine - INFO - Iter(train) [ 64100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:58:27 time: 1.0138 data_time: 0.0176 memory: 23036 grad_norm: 22.1829 loss: 11.1638 loss_cls: 0.4107 loss_bbox: 0.1532 loss_iou: 0.3168 d0.loss_cls: 0.4558 d0.loss_bbox: 0.1670 d0.loss_iou: 0.3416 d1.loss_cls: 0.4279 d1.loss_bbox: 0.1624 d1.loss_iou: 0.3328 d2.loss_cls: 0.4176 d2.loss_bbox: 0.1574 d2.loss_iou: 0.3258 d3.loss_cls: 0.4151 d3.loss_bbox: 0.1543 d3.loss_iou: 0.3195 d4.loss_cls: 0.4058 d4.loss_bbox: 0.1557 d4.loss_iou: 0.3189 enc_loss_cls: 0.4737 enc_loss_bbox: 0.1830 enc_loss_iou: 0.3736 dn_loss_cls: 0.1389 dn_loss_bbox: 0.1660 dn_loss_iou: 0.2315 d0.dn_loss_cls: 0.2053 d0.dn_loss_bbox: 0.3061 d0.dn_loss_iou: 0.3814 d1.dn_loss_cls: 0.1493 d1.dn_loss_bbox: 0.1995 d1.dn_loss_iou: 0.2680 d2.dn_loss_cls: 0.1331 d2.dn_loss_bbox: 0.1752 d2.dn_loss_iou: 0.2414 d3.dn_loss_cls: 0.1327 d3.dn_loss_bbox: 0.1666 d3.dn_loss_iou: 0.2334 d4.dn_loss_cls: 0.1420 d4.dn_loss_bbox: 0.1661 d4.dn_loss_iou: 0.2316 d1.loss_lmm_region: 0.1675 loss_lmm_image: 0.8594 +2024/11/07 23:18:27 - mmengine - INFO - Iter(train) [ 64200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:56:39 time: 1.0214 data_time: 0.0176 memory: 23337 grad_norm: 21.9736 loss: 8.6002 loss_cls: 0.2728 loss_bbox: 0.1074 loss_iou: 0.2246 d0.loss_cls: 0.3065 d0.loss_bbox: 0.1258 d0.loss_iou: 0.2436 d1.loss_cls: 0.2875 d1.loss_bbox: 0.1148 d1.loss_iou: 0.2311 d2.loss_cls: 0.2787 d2.loss_bbox: 0.1145 d2.loss_iou: 0.2258 d3.loss_cls: 0.2734 d3.loss_bbox: 0.1132 d3.loss_iou: 0.2262 d4.loss_cls: 0.2743 d4.loss_bbox: 0.1076 d4.loss_iou: 0.2244 enc_loss_cls: 0.3228 enc_loss_bbox: 0.1386 enc_loss_iou: 0.2620 dn_loss_cls: 0.0841 dn_loss_bbox: 0.1540 dn_loss_iou: 0.2063 d0.dn_loss_cls: 0.1697 d0.dn_loss_bbox: 0.3088 d0.dn_loss_iou: 0.3513 d1.dn_loss_cls: 0.1110 d1.dn_loss_bbox: 0.1852 d1.dn_loss_iou: 0.2401 d2.dn_loss_cls: 0.0949 d2.dn_loss_bbox: 0.1615 d2.dn_loss_iou: 0.2148 d3.dn_loss_cls: 0.0894 d3.dn_loss_bbox: 0.1546 d3.dn_loss_iou: 0.2074 d4.dn_loss_cls: 0.0854 d4.dn_loss_bbox: 0.1538 d4.dn_loss_iou: 0.2063 d1.loss_lmm_region: 0.1379 loss_lmm_image: 0.8079 +2024/11/07 23:20:10 - mmengine - INFO - Iter(train) [ 64300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:54:52 time: 1.0305 data_time: 0.0180 memory: 23764 grad_norm: 26.2095 loss: 10.5122 loss_cls: 0.3239 loss_bbox: 0.1589 loss_iou: 0.3019 d0.loss_cls: 0.3554 d0.loss_bbox: 0.1732 d0.loss_iou: 0.3205 d1.loss_cls: 0.3385 d1.loss_bbox: 0.1632 d1.loss_iou: 0.3072 d2.loss_cls: 0.3323 d2.loss_bbox: 0.1589 d2.loss_iou: 0.3043 d3.loss_cls: 0.3310 d3.loss_bbox: 0.1584 d3.loss_iou: 0.3007 d4.loss_cls: 0.3243 d4.loss_bbox: 0.1573 d4.loss_iou: 0.3018 enc_loss_cls: 0.3691 enc_loss_bbox: 0.1897 enc_loss_iou: 0.3438 dn_loss_cls: 0.0992 dn_loss_bbox: 0.1885 dn_loss_iou: 0.2576 d0.dn_loss_cls: 0.1824 d0.dn_loss_bbox: 0.3518 d0.dn_loss_iou: 0.4242 d1.dn_loss_cls: 0.1277 d1.dn_loss_bbox: 0.2234 d1.dn_loss_iou: 0.2935 d2.dn_loss_cls: 0.1128 d2.dn_loss_bbox: 0.1981 d2.dn_loss_iou: 0.2664 d3.dn_loss_cls: 0.1037 d3.dn_loss_bbox: 0.1901 d3.dn_loss_iou: 0.2587 d4.dn_loss_cls: 0.0997 d4.dn_loss_bbox: 0.1883 d4.dn_loss_iou: 0.2574 d1.loss_lmm_region: 0.1462 loss_lmm_image: 0.8283 +2024/11/07 23:21:53 - mmengine - INFO - Iter(train) [ 64400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:53:05 time: 1.0281 data_time: 0.0179 memory: 23730 grad_norm: 23.8677 loss: 9.3789 loss_cls: 0.2921 loss_bbox: 0.1356 loss_iou: 0.2597 d0.loss_cls: 0.3235 d0.loss_bbox: 0.1447 d0.loss_iou: 0.2692 d1.loss_cls: 0.3064 d1.loss_bbox: 0.1409 d1.loss_iou: 0.2640 d2.loss_cls: 0.2970 d2.loss_bbox: 0.1398 d2.loss_iou: 0.2614 d3.loss_cls: 0.2966 d3.loss_bbox: 0.1377 d3.loss_iou: 0.2609 d4.loss_cls: 0.2926 d4.loss_bbox: 0.1374 d4.loss_iou: 0.2604 enc_loss_cls: 0.3393 enc_loss_bbox: 0.1621 enc_loss_iou: 0.2927 dn_loss_cls: 0.0873 dn_loss_bbox: 0.1628 dn_loss_iou: 0.2248 d0.dn_loss_cls: 0.1782 d0.dn_loss_bbox: 0.3198 d0.dn_loss_iou: 0.3818 d1.dn_loss_cls: 0.1216 d1.dn_loss_bbox: 0.1984 d1.dn_loss_iou: 0.2599 d2.dn_loss_cls: 0.1036 d2.dn_loss_bbox: 0.1717 d2.dn_loss_iou: 0.2338 d3.dn_loss_cls: 0.0922 d3.dn_loss_bbox: 0.1638 d3.dn_loss_iou: 0.2259 d4.dn_loss_cls: 0.0885 d4.dn_loss_bbox: 0.1628 d4.dn_loss_iou: 0.2248 d1.loss_lmm_region: 0.1419 loss_lmm_image: 0.8213 +2024/11/07 23:23:36 - mmengine - INFO - Iter(train) [ 64500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:51:19 time: 1.0347 data_time: 0.0177 memory: 23764 grad_norm: 21.2660 loss: 8.4819 loss_cls: 0.2649 loss_bbox: 0.1180 loss_iou: 0.2043 d0.loss_cls: 0.2858 d0.loss_bbox: 0.1390 d0.loss_iou: 0.2253 d1.loss_cls: 0.2768 d1.loss_bbox: 0.1280 d1.loss_iou: 0.2119 d2.loss_cls: 0.2732 d2.loss_bbox: 0.1217 d2.loss_iou: 0.2058 d3.loss_cls: 0.2660 d3.loss_bbox: 0.1198 d3.loss_iou: 0.2051 d4.loss_cls: 0.2658 d4.loss_bbox: 0.1179 d4.loss_iou: 0.2040 enc_loss_cls: 0.3014 enc_loss_bbox: 0.1504 enc_loss_iou: 0.2436 dn_loss_cls: 0.0833 dn_loss_bbox: 0.1517 dn_loss_iou: 0.2019 d0.dn_loss_cls: 0.1716 d0.dn_loss_bbox: 0.3116 d0.dn_loss_iou: 0.3554 d1.dn_loss_cls: 0.1171 d1.dn_loss_bbox: 0.1857 d1.dn_loss_iou: 0.2363 d2.dn_loss_cls: 0.0980 d2.dn_loss_bbox: 0.1603 d2.dn_loss_iou: 0.2104 d3.dn_loss_cls: 0.0896 d3.dn_loss_bbox: 0.1534 d3.dn_loss_iou: 0.2033 d4.dn_loss_cls: 0.0848 d4.dn_loss_bbox: 0.1517 d4.dn_loss_iou: 0.2020 d1.loss_lmm_region: 0.1352 loss_lmm_image: 0.8499 +2024/11/07 23:25:18 - mmengine - INFO - Iter(train) [ 64600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:49:31 time: 1.0261 data_time: 0.0179 memory: 23607 grad_norm: 21.5325 loss: 9.4342 loss_cls: 0.2761 loss_bbox: 0.1488 loss_iou: 0.2610 d0.loss_cls: 0.3142 d0.loss_bbox: 0.1598 d0.loss_iou: 0.2787 d1.loss_cls: 0.2960 d1.loss_bbox: 0.1491 d1.loss_iou: 0.2645 d2.loss_cls: 0.2919 d2.loss_bbox: 0.1420 d2.loss_iou: 0.2574 d3.loss_cls: 0.2821 d3.loss_bbox: 0.1455 d3.loss_iou: 0.2611 d4.loss_cls: 0.2805 d4.loss_bbox: 0.1442 d4.loss_iou: 0.2601 enc_loss_cls: 0.3326 enc_loss_bbox: 0.1718 enc_loss_iou: 0.3022 dn_loss_cls: 0.0905 dn_loss_bbox: 0.1681 dn_loss_iou: 0.2300 d0.dn_loss_cls: 0.1868 d0.dn_loss_bbox: 0.3330 d0.dn_loss_iou: 0.3922 d1.dn_loss_cls: 0.1330 d1.dn_loss_bbox: 0.2066 d1.dn_loss_iou: 0.2687 d2.dn_loss_cls: 0.1129 d2.dn_loss_bbox: 0.1779 d2.dn_loss_iou: 0.2398 d3.dn_loss_cls: 0.0986 d3.dn_loss_bbox: 0.1690 d3.dn_loss_iou: 0.2309 d4.dn_loss_cls: 0.0915 d4.dn_loss_bbox: 0.1681 d4.dn_loss_iou: 0.2299 d1.loss_lmm_region: 0.1351 loss_lmm_image: 0.7523 +2024/11/07 23:27:01 - mmengine - INFO - Iter(train) [ 64700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:47:44 time: 1.0317 data_time: 0.0178 memory: 23417 grad_norm: 21.1342 loss: 9.5666 loss_cls: 0.2995 loss_bbox: 0.1396 loss_iou: 0.2748 d0.loss_cls: 0.3366 d0.loss_bbox: 0.1492 d0.loss_iou: 0.2895 d1.loss_cls: 0.3241 d1.loss_bbox: 0.1382 d1.loss_iou: 0.2741 d2.loss_cls: 0.3191 d2.loss_bbox: 0.1357 d2.loss_iou: 0.2690 d3.loss_cls: 0.3136 d3.loss_bbox: 0.1349 d3.loss_iou: 0.2718 d4.loss_cls: 0.3060 d4.loss_bbox: 0.1348 d4.loss_iou: 0.2714 enc_loss_cls: 0.3513 enc_loss_bbox: 0.1663 enc_loss_iou: 0.3108 dn_loss_cls: 0.0866 dn_loss_bbox: 0.1611 dn_loss_iou: 0.2269 d0.dn_loss_cls: 0.1754 d0.dn_loss_bbox: 0.3118 d0.dn_loss_iou: 0.3763 d1.dn_loss_cls: 0.1167 d1.dn_loss_bbox: 0.1904 d1.dn_loss_iou: 0.2594 d2.dn_loss_cls: 0.1033 d2.dn_loss_bbox: 0.1701 d2.dn_loss_iou: 0.2357 d3.dn_loss_cls: 0.0904 d3.dn_loss_bbox: 0.1637 d3.dn_loss_iou: 0.2285 d4.dn_loss_cls: 0.0862 d4.dn_loss_bbox: 0.1612 d4.dn_loss_iou: 0.2268 d1.loss_lmm_region: 0.1700 loss_lmm_image: 0.8156 +2024/11/07 23:28:43 - mmengine - INFO - Iter(train) [ 64800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:45:56 time: 1.0145 data_time: 0.0179 memory: 23344 grad_norm: 21.5292 loss: 9.2510 loss_cls: 0.2716 loss_bbox: 0.1314 loss_iou: 0.2474 d0.loss_cls: 0.2992 d0.loss_bbox: 0.1468 d0.loss_iou: 0.2613 d1.loss_cls: 0.2913 d1.loss_bbox: 0.1325 d1.loss_iou: 0.2508 d2.loss_cls: 0.2830 d2.loss_bbox: 0.1311 d2.loss_iou: 0.2498 d3.loss_cls: 0.2787 d3.loss_bbox: 0.1305 d3.loss_iou: 0.2501 d4.loss_cls: 0.2721 d4.loss_bbox: 0.1312 d4.loss_iou: 0.2486 enc_loss_cls: 0.3147 enc_loss_bbox: 0.1590 enc_loss_iou: 0.2806 dn_loss_cls: 0.1000 dn_loss_bbox: 0.1757 dn_loss_iou: 0.2206 d0.dn_loss_cls: 0.1842 d0.dn_loss_bbox: 0.3127 d0.dn_loss_iou: 0.3656 d1.dn_loss_cls: 0.1343 d1.dn_loss_bbox: 0.2078 d1.dn_loss_iou: 0.2530 d2.dn_loss_cls: 0.1165 d2.dn_loss_bbox: 0.1811 d2.dn_loss_iou: 0.2281 d3.dn_loss_cls: 0.1065 d3.dn_loss_bbox: 0.1764 d3.dn_loss_iou: 0.2217 d4.dn_loss_cls: 0.1012 d4.dn_loss_bbox: 0.1757 d4.dn_loss_iou: 0.2205 d1.loss_lmm_region: 0.1581 loss_lmm_image: 0.8496 +2024/11/07 23:30:26 - mmengine - INFO - Iter(train) [ 64900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:44:08 time: 1.0225 data_time: 0.0179 memory: 23356 grad_norm: 23.8334 loss: 10.5858 loss_cls: 0.3122 loss_bbox: 0.1620 loss_iou: 0.2723 d0.loss_cls: 0.3484 d0.loss_bbox: 0.1791 d0.loss_iou: 0.2882 d1.loss_cls: 0.3244 d1.loss_bbox: 0.1711 d1.loss_iou: 0.2775 d2.loss_cls: 0.3174 d2.loss_bbox: 0.1674 d2.loss_iou: 0.2746 d3.loss_cls: 0.3204 d3.loss_bbox: 0.1589 d3.loss_iou: 0.2717 d4.loss_cls: 0.3133 d4.loss_bbox: 0.1617 d4.loss_iou: 0.2721 enc_loss_cls: 0.3714 enc_loss_bbox: 0.1922 enc_loss_iou: 0.3053 dn_loss_cls: 0.1244 dn_loss_bbox: 0.2135 dn_loss_iou: 0.2488 d0.dn_loss_cls: 0.2168 d0.dn_loss_bbox: 0.3955 d0.dn_loss_iou: 0.4121 d1.dn_loss_cls: 0.1573 d1.dn_loss_bbox: 0.2521 d1.dn_loss_iou: 0.2873 d2.dn_loss_cls: 0.1406 d2.dn_loss_bbox: 0.2246 d2.dn_loss_iou: 0.2598 d3.dn_loss_cls: 0.1309 d3.dn_loss_bbox: 0.2158 d3.dn_loss_iou: 0.2511 d4.dn_loss_cls: 0.1251 d4.dn_loss_bbox: 0.2135 d4.dn_loss_iou: 0.2488 d1.loss_lmm_region: 0.1642 loss_lmm_image: 0.8421 +2024/11/07 23:32:08 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/07 23:32:08 - mmengine - INFO - Iter(train) [ 65000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:42:21 time: 1.0259 data_time: 0.0180 memory: 23727 grad_norm: 22.7027 loss: 10.5223 loss_cls: 0.3280 loss_bbox: 0.1702 loss_iou: 0.3148 d0.loss_cls: 0.3513 d0.loss_bbox: 0.1885 d0.loss_iou: 0.3388 d1.loss_cls: 0.3384 d1.loss_bbox: 0.1746 d1.loss_iou: 0.3230 d2.loss_cls: 0.3369 d2.loss_bbox: 0.1718 d2.loss_iou: 0.3172 d3.loss_cls: 0.3315 d3.loss_bbox: 0.1737 d3.loss_iou: 0.3172 d4.loss_cls: 0.3273 d4.loss_bbox: 0.1712 d4.loss_iou: 0.3160 enc_loss_cls: 0.3762 enc_loss_bbox: 0.2022 enc_loss_iou: 0.3608 dn_loss_cls: 0.0990 dn_loss_bbox: 0.1829 dn_loss_iou: 0.2392 d0.dn_loss_cls: 0.1838 d0.dn_loss_bbox: 0.3316 d0.dn_loss_iou: 0.3951 d1.dn_loss_cls: 0.1303 d1.dn_loss_bbox: 0.2132 d1.dn_loss_iou: 0.2738 d2.dn_loss_cls: 0.1155 d2.dn_loss_bbox: 0.1909 d2.dn_loss_iou: 0.2485 d3.dn_loss_cls: 0.1059 d3.dn_loss_bbox: 0.1838 d3.dn_loss_iou: 0.2406 d4.dn_loss_cls: 0.0979 d4.dn_loss_bbox: 0.1829 d4.dn_loss_iou: 0.2392 d1.loss_lmm_region: 0.1402 loss_lmm_image: 0.7987 +2024/11/07 23:33:51 - mmengine - INFO - Iter(train) [ 65100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:40:34 time: 1.0298 data_time: 0.0177 memory: 23479 grad_norm: 23.6879 loss: 9.6528 loss_cls: 0.2848 loss_bbox: 0.1505 loss_iou: 0.2416 d0.loss_cls: 0.3137 d0.loss_bbox: 0.1594 d0.loss_iou: 0.2562 d1.loss_cls: 0.3004 d1.loss_bbox: 0.1510 d1.loss_iou: 0.2457 d2.loss_cls: 0.2910 d2.loss_bbox: 0.1510 d2.loss_iou: 0.2418 d3.loss_cls: 0.2855 d3.loss_bbox: 0.1512 d3.loss_iou: 0.2405 d4.loss_cls: 0.2865 d4.loss_bbox: 0.1493 d4.loss_iou: 0.2404 enc_loss_cls: 0.3253 enc_loss_bbox: 0.1798 enc_loss_iou: 0.2809 dn_loss_cls: 0.1014 dn_loss_bbox: 0.2025 dn_loss_iou: 0.2353 d0.dn_loss_cls: 0.1928 d0.dn_loss_bbox: 0.3657 d0.dn_loss_iou: 0.3936 d1.dn_loss_cls: 0.1301 d1.dn_loss_bbox: 0.2324 d1.dn_loss_iou: 0.2691 d2.dn_loss_cls: 0.1143 d2.dn_loss_bbox: 0.2074 d2.dn_loss_iou: 0.2438 d3.dn_loss_cls: 0.1057 d3.dn_loss_bbox: 0.2025 d3.dn_loss_iou: 0.2366 d4.dn_loss_cls: 0.1025 d4.dn_loss_bbox: 0.2026 d4.dn_loss_iou: 0.2355 d1.loss_lmm_region: 0.1300 loss_lmm_image: 0.8221 +2024/11/07 23:35:33 - mmengine - INFO - Iter(train) [ 65200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:38:46 time: 1.0220 data_time: 0.0178 memory: 23554 grad_norm: 21.6495 loss: 9.1626 loss_cls: 0.3047 loss_bbox: 0.1268 loss_iou: 0.2288 d0.loss_cls: 0.3437 d0.loss_bbox: 0.1432 d0.loss_iou: 0.2470 d1.loss_cls: 0.3293 d1.loss_bbox: 0.1291 d1.loss_iou: 0.2332 d2.loss_cls: 0.3187 d2.loss_bbox: 0.1239 d2.loss_iou: 0.2285 d3.loss_cls: 0.3168 d3.loss_bbox: 0.1249 d3.loss_iou: 0.2264 d4.loss_cls: 0.3055 d4.loss_bbox: 0.1274 d4.loss_iou: 0.2296 enc_loss_cls: 0.3564 enc_loss_bbox: 0.1576 enc_loss_iou: 0.2704 dn_loss_cls: 0.1231 dn_loss_bbox: 0.1496 dn_loss_iou: 0.2025 d0.dn_loss_cls: 0.1987 d0.dn_loss_bbox: 0.2829 d0.dn_loss_iou: 0.3447 d1.dn_loss_cls: 0.1533 d1.dn_loss_bbox: 0.1848 d1.dn_loss_iou: 0.2373 d2.dn_loss_cls: 0.1372 d2.dn_loss_bbox: 0.1604 d2.dn_loss_iou: 0.2114 d3.dn_loss_cls: 0.1281 d3.dn_loss_bbox: 0.1506 d3.dn_loss_iou: 0.2037 d4.dn_loss_cls: 0.1267 d4.dn_loss_bbox: 0.1496 d4.dn_loss_iou: 0.2025 d1.loss_lmm_region: 0.1353 loss_lmm_image: 0.8084 +2024/11/07 23:37:15 - mmengine - INFO - Iter(train) [ 65300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:36:58 time: 1.0181 data_time: 0.0178 memory: 23170 grad_norm: 23.4965 loss: 10.3000 loss_cls: 0.3289 loss_bbox: 0.1541 loss_iou: 0.2960 d0.loss_cls: 0.3698 d0.loss_bbox: 0.1685 d0.loss_iou: 0.3134 d1.loss_cls: 0.3530 d1.loss_bbox: 0.1541 d1.loss_iou: 0.2996 d2.loss_cls: 0.3441 d2.loss_bbox: 0.1526 d2.loss_iou: 0.2945 d3.loss_cls: 0.3358 d3.loss_bbox: 0.1518 d3.loss_iou: 0.2936 d4.loss_cls: 0.3316 d4.loss_bbox: 0.1525 d4.loss_iou: 0.2956 enc_loss_cls: 0.3817 enc_loss_bbox: 0.1758 enc_loss_iou: 0.3317 dn_loss_cls: 0.0982 dn_loss_bbox: 0.1663 dn_loss_iou: 0.2385 d0.dn_loss_cls: 0.1945 d0.dn_loss_bbox: 0.3235 d0.dn_loss_iou: 0.3939 d1.dn_loss_cls: 0.1380 d1.dn_loss_bbox: 0.2043 d1.dn_loss_iou: 0.2754 d2.dn_loss_cls: 0.1159 d2.dn_loss_bbox: 0.1773 d2.dn_loss_iou: 0.2484 d3.dn_loss_cls: 0.1037 d3.dn_loss_bbox: 0.1679 d3.dn_loss_iou: 0.2406 d4.dn_loss_cls: 0.0997 d4.dn_loss_bbox: 0.1664 d4.dn_loss_iou: 0.2386 d1.loss_lmm_region: 0.1763 loss_lmm_image: 0.8544 +2024/11/07 23:38:58 - mmengine - INFO - Iter(train) [ 65400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:35:10 time: 1.0259 data_time: 0.0177 memory: 23816 grad_norm: 21.4067 loss: 9.3667 loss_cls: 0.3071 loss_bbox: 0.1216 loss_iou: 0.2401 d0.loss_cls: 0.3438 d0.loss_bbox: 0.1393 d0.loss_iou: 0.2601 d1.loss_cls: 0.3278 d1.loss_bbox: 0.1272 d1.loss_iou: 0.2484 d2.loss_cls: 0.3215 d2.loss_bbox: 0.1220 d2.loss_iou: 0.2394 d3.loss_cls: 0.3119 d3.loss_bbox: 0.1227 d3.loss_iou: 0.2401 d4.loss_cls: 0.3086 d4.loss_bbox: 0.1214 d4.loss_iou: 0.2391 enc_loss_cls: 0.3581 enc_loss_bbox: 0.1507 enc_loss_iou: 0.2789 dn_loss_cls: 0.1062 dn_loss_bbox: 0.1616 dn_loss_iou: 0.2165 d0.dn_loss_cls: 0.1918 d0.dn_loss_bbox: 0.2936 d0.dn_loss_iou: 0.3589 d1.dn_loss_cls: 0.1395 d1.dn_loss_bbox: 0.1958 d1.dn_loss_iou: 0.2520 d2.dn_loss_cls: 0.1201 d2.dn_loss_bbox: 0.1686 d2.dn_loss_iou: 0.2256 d3.dn_loss_cls: 0.1076 d3.dn_loss_bbox: 0.1622 d3.dn_loss_iou: 0.2180 d4.dn_loss_cls: 0.1041 d4.dn_loss_bbox: 0.1616 d4.dn_loss_iou: 0.2166 d1.loss_lmm_region: 0.1623 loss_lmm_image: 0.8747 +2024/11/07 23:40:39 - mmengine - INFO - Iter(train) [ 65500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:33:22 time: 1.0091 data_time: 0.0177 memory: 23453 grad_norm: 20.4699 loss: 8.9133 loss_cls: 0.2724 loss_bbox: 0.1324 loss_iou: 0.2308 d0.loss_cls: 0.3004 d0.loss_bbox: 0.1518 d0.loss_iou: 0.2559 d1.loss_cls: 0.2847 d1.loss_bbox: 0.1391 d1.loss_iou: 0.2379 d2.loss_cls: 0.2811 d2.loss_bbox: 0.1366 d2.loss_iou: 0.2342 d3.loss_cls: 0.2782 d3.loss_bbox: 0.1332 d3.loss_iou: 0.2300 d4.loss_cls: 0.2737 d4.loss_bbox: 0.1326 d4.loss_iou: 0.2303 enc_loss_cls: 0.3214 enc_loss_bbox: 0.1695 enc_loss_iou: 0.2780 dn_loss_cls: 0.0775 dn_loss_bbox: 0.1573 dn_loss_iou: 0.2118 d0.dn_loss_cls: 0.1638 d0.dn_loss_bbox: 0.3208 d0.dn_loss_iou: 0.3671 d1.dn_loss_cls: 0.1064 d1.dn_loss_bbox: 0.1932 d1.dn_loss_iou: 0.2449 d2.dn_loss_cls: 0.0924 d2.dn_loss_bbox: 0.1690 d2.dn_loss_iou: 0.2197 d3.dn_loss_cls: 0.0828 d3.dn_loss_bbox: 0.1589 d3.dn_loss_iou: 0.2130 d4.dn_loss_cls: 0.0785 d4.dn_loss_bbox: 0.1574 d4.dn_loss_iou: 0.2116 d1.loss_lmm_region: 0.1386 loss_lmm_image: 0.8447 +2024/11/07 23:42:21 - mmengine - INFO - Iter(train) [ 65600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:31:34 time: 1.0259 data_time: 0.0178 memory: 23491 grad_norm: 20.3336 loss: 8.9940 loss_cls: 0.2921 loss_bbox: 0.1268 loss_iou: 0.2383 d0.loss_cls: 0.3237 d0.loss_bbox: 0.1447 d0.loss_iou: 0.2560 d1.loss_cls: 0.3076 d1.loss_bbox: 0.1338 d1.loss_iou: 0.2442 d2.loss_cls: 0.3015 d2.loss_bbox: 0.1284 d2.loss_iou: 0.2403 d3.loss_cls: 0.2986 d3.loss_bbox: 0.1261 d3.loss_iou: 0.2376 d4.loss_cls: 0.2940 d4.loss_bbox: 0.1258 d4.loss_iou: 0.2377 enc_loss_cls: 0.3416 enc_loss_bbox: 0.1550 enc_loss_iou: 0.2773 dn_loss_cls: 0.0830 dn_loss_bbox: 0.1716 dn_loss_iou: 0.2001 d0.dn_loss_cls: 0.1645 d0.dn_loss_bbox: 0.3099 d0.dn_loss_iou: 0.3362 d1.dn_loss_cls: 0.1113 d1.dn_loss_bbox: 0.1968 d1.dn_loss_iou: 0.2299 d2.dn_loss_cls: 0.0969 d2.dn_loss_bbox: 0.1766 d2.dn_loss_iou: 0.2080 d3.dn_loss_cls: 0.0900 d3.dn_loss_bbox: 0.1718 d3.dn_loss_iou: 0.2010 d4.dn_loss_cls: 0.0854 d4.dn_loss_bbox: 0.1716 d4.dn_loss_iou: 0.2001 d1.loss_lmm_region: 0.1357 loss_lmm_image: 0.8225 +2024/11/07 23:44:03 - mmengine - INFO - Iter(train) [ 65700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:29:45 time: 1.0099 data_time: 0.0177 memory: 23391 grad_norm: 23.2149 loss: 9.0499 loss_cls: 0.2649 loss_bbox: 0.1301 loss_iou: 0.2274 d0.loss_cls: 0.3043 d0.loss_bbox: 0.1467 d0.loss_iou: 0.2475 d1.loss_cls: 0.2823 d1.loss_bbox: 0.1372 d1.loss_iou: 0.2373 d2.loss_cls: 0.2711 d2.loss_bbox: 0.1333 d2.loss_iou: 0.2350 d3.loss_cls: 0.2696 d3.loss_bbox: 0.1301 d3.loss_iou: 0.2295 d4.loss_cls: 0.2665 d4.loss_bbox: 0.1294 d4.loss_iou: 0.2285 enc_loss_cls: 0.3153 enc_loss_bbox: 0.1610 enc_loss_iou: 0.2702 dn_loss_cls: 0.0897 dn_loss_bbox: 0.1791 dn_loss_iou: 0.2196 d0.dn_loss_cls: 0.1721 d0.dn_loss_bbox: 0.3339 d0.dn_loss_iou: 0.3675 d1.dn_loss_cls: 0.1186 d1.dn_loss_bbox: 0.2146 d1.dn_loss_iou: 0.2538 d2.dn_loss_cls: 0.1043 d2.dn_loss_bbox: 0.1904 d2.dn_loss_iou: 0.2289 d3.dn_loss_cls: 0.0948 d3.dn_loss_bbox: 0.1797 d3.dn_loss_iou: 0.2213 d4.dn_loss_cls: 0.0900 d4.dn_loss_bbox: 0.1792 d4.dn_loss_iou: 0.2198 d1.loss_lmm_region: 0.1386 loss_lmm_image: 0.8367 +2024/11/07 23:45:45 - mmengine - INFO - Iter(train) [ 65800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:27:58 time: 1.0248 data_time: 0.0178 memory: 24340 grad_norm: 21.7888 loss: 9.7833 loss_cls: 0.2968 loss_bbox: 0.1466 loss_iou: 0.2614 d0.loss_cls: 0.3308 d0.loss_bbox: 0.1648 d0.loss_iou: 0.2810 d1.loss_cls: 0.3071 d1.loss_bbox: 0.1569 d1.loss_iou: 0.2720 d2.loss_cls: 0.3013 d2.loss_bbox: 0.1544 d2.loss_iou: 0.2666 d3.loss_cls: 0.3000 d3.loss_bbox: 0.1466 d3.loss_iou: 0.2634 d4.loss_cls: 0.2974 d4.loss_bbox: 0.1468 d4.loss_iou: 0.2608 enc_loss_cls: 0.3496 enc_loss_bbox: 0.1796 enc_loss_iou: 0.3036 dn_loss_cls: 0.0994 dn_loss_bbox: 0.1701 dn_loss_iou: 0.2326 d0.dn_loss_cls: 0.1877 d0.dn_loss_bbox: 0.3397 d0.dn_loss_iou: 0.3991 d1.dn_loss_cls: 0.1332 d1.dn_loss_bbox: 0.2091 d1.dn_loss_iou: 0.2728 d2.dn_loss_cls: 0.1184 d2.dn_loss_bbox: 0.1814 d2.dn_loss_iou: 0.2434 d3.dn_loss_cls: 0.1077 d3.dn_loss_bbox: 0.1709 d3.dn_loss_iou: 0.2339 d4.dn_loss_cls: 0.0994 d4.dn_loss_bbox: 0.1702 d4.dn_loss_iou: 0.2324 d1.loss_lmm_region: 0.1420 loss_lmm_image: 0.8525 +2024/11/07 23:47:27 - mmengine - INFO - Iter(train) [ 65900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:26:10 time: 1.0148 data_time: 0.0178 memory: 23489 grad_norm: 22.0056 loss: 8.7106 loss_cls: 0.2750 loss_bbox: 0.1104 loss_iou: 0.2274 d0.loss_cls: 0.2935 d0.loss_bbox: 0.1255 d0.loss_iou: 0.2533 d1.loss_cls: 0.2826 d1.loss_bbox: 0.1159 d1.loss_iou: 0.2362 d2.loss_cls: 0.2802 d2.loss_bbox: 0.1114 d2.loss_iou: 0.2302 d3.loss_cls: 0.2745 d3.loss_bbox: 0.1111 d3.loss_iou: 0.2295 d4.loss_cls: 0.2729 d4.loss_bbox: 0.1111 d4.loss_iou: 0.2284 enc_loss_cls: 0.3171 enc_loss_bbox: 0.1384 enc_loss_iou: 0.2682 dn_loss_cls: 0.0772 dn_loss_bbox: 0.1605 dn_loss_iou: 0.2121 d0.dn_loss_cls: 0.1592 d0.dn_loss_bbox: 0.3314 d0.dn_loss_iou: 0.3709 d1.dn_loss_cls: 0.1053 d1.dn_loss_bbox: 0.2011 d1.dn_loss_iou: 0.2507 d2.dn_loss_cls: 0.0880 d2.dn_loss_bbox: 0.1716 d2.dn_loss_iou: 0.2215 d3.dn_loss_cls: 0.0822 d3.dn_loss_bbox: 0.1621 d3.dn_loss_iou: 0.2136 d4.dn_loss_cls: 0.0778 d4.dn_loss_bbox: 0.1606 d4.dn_loss_iou: 0.2123 d1.loss_lmm_region: 0.1163 loss_lmm_image: 0.8432 +2024/11/07 23:49:10 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/07 23:49:10 - mmengine - INFO - Iter(train) [ 66000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:24:23 time: 1.0273 data_time: 0.0178 memory: 23135 grad_norm: 22.1291 loss: 9.5850 loss_cls: 0.3019 loss_bbox: 0.1477 loss_iou: 0.2541 d0.loss_cls: 0.3397 d0.loss_bbox: 0.1593 d0.loss_iou: 0.2736 d1.loss_cls: 0.3220 d1.loss_bbox: 0.1547 d1.loss_iou: 0.2619 d2.loss_cls: 0.3131 d2.loss_bbox: 0.1453 d2.loss_iou: 0.2543 d3.loss_cls: 0.3054 d3.loss_bbox: 0.1480 d3.loss_iou: 0.2560 d4.loss_cls: 0.3054 d4.loss_bbox: 0.1460 d4.loss_iou: 0.2541 enc_loss_cls: 0.3543 enc_loss_bbox: 0.1727 enc_loss_iou: 0.2973 dn_loss_cls: 0.0937 dn_loss_bbox: 0.1839 dn_loss_iou: 0.2107 d0.dn_loss_cls: 0.1698 d0.dn_loss_bbox: 0.3456 d0.dn_loss_iou: 0.3647 d1.dn_loss_cls: 0.1170 d1.dn_loss_bbox: 0.2180 d1.dn_loss_iou: 0.2463 d2.dn_loss_cls: 0.1027 d2.dn_loss_bbox: 0.1922 d2.dn_loss_iou: 0.2210 d3.dn_loss_cls: 0.0956 d3.dn_loss_bbox: 0.1849 d3.dn_loss_iou: 0.2127 d4.dn_loss_cls: 0.0938 d4.dn_loss_bbox: 0.1839 d4.dn_loss_iou: 0.2108 d1.loss_lmm_region: 0.1401 loss_lmm_image: 0.8307 +2024/11/07 23:50:52 - mmengine - INFO - Iter(train) [ 66100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:22:35 time: 1.0252 data_time: 0.0178 memory: 23816 grad_norm: 19.9773 loss: 9.1055 loss_cls: 0.2869 loss_bbox: 0.1288 loss_iou: 0.2249 d0.loss_cls: 0.3210 d0.loss_bbox: 0.1472 d0.loss_iou: 0.2436 d1.loss_cls: 0.3020 d1.loss_bbox: 0.1324 d1.loss_iou: 0.2316 d2.loss_cls: 0.2916 d2.loss_bbox: 0.1302 d2.loss_iou: 0.2262 d3.loss_cls: 0.2912 d3.loss_bbox: 0.1290 d3.loss_iou: 0.2258 d4.loss_cls: 0.2845 d4.loss_bbox: 0.1295 d4.loss_iou: 0.2257 enc_loss_cls: 0.3327 enc_loss_bbox: 0.1657 enc_loss_iou: 0.2697 dn_loss_cls: 0.0957 dn_loss_bbox: 0.1602 dn_loss_iou: 0.2172 d0.dn_loss_cls: 0.1792 d0.dn_loss_bbox: 0.3272 d0.dn_loss_iou: 0.3772 d1.dn_loss_cls: 0.1244 d1.dn_loss_bbox: 0.1982 d1.dn_loss_iou: 0.2535 d2.dn_loss_cls: 0.1098 d2.dn_loss_bbox: 0.1724 d2.dn_loss_iou: 0.2282 d3.dn_loss_cls: 0.1006 d3.dn_loss_bbox: 0.1629 d3.dn_loss_iou: 0.2198 d4.dn_loss_cls: 0.0957 d4.dn_loss_bbox: 0.1600 d4.dn_loss_iou: 0.2172 d1.loss_lmm_region: 0.1353 loss_lmm_image: 0.8508 +2024/11/07 23:52:34 - mmengine - INFO - Iter(train) [ 66200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:20:48 time: 1.0215 data_time: 0.0178 memory: 23427 grad_norm: 22.9222 loss: 9.3531 loss_cls: 0.2927 loss_bbox: 0.1260 loss_iou: 0.2356 d0.loss_cls: 0.3234 d0.loss_bbox: 0.1419 d0.loss_iou: 0.2540 d1.loss_cls: 0.3105 d1.loss_bbox: 0.1342 d1.loss_iou: 0.2427 d2.loss_cls: 0.3008 d2.loss_bbox: 0.1278 d2.loss_iou: 0.2374 d3.loss_cls: 0.2963 d3.loss_bbox: 0.1288 d3.loss_iou: 0.2358 d4.loss_cls: 0.2940 d4.loss_bbox: 0.1262 d4.loss_iou: 0.2348 enc_loss_cls: 0.3418 enc_loss_bbox: 0.1518 enc_loss_iou: 0.2688 dn_loss_cls: 0.1194 dn_loss_bbox: 0.1776 dn_loss_iou: 0.2055 d0.dn_loss_cls: 0.2019 d0.dn_loss_bbox: 0.3382 d0.dn_loss_iou: 0.3500 d1.dn_loss_cls: 0.1558 d1.dn_loss_bbox: 0.2094 d1.dn_loss_iou: 0.2364 d2.dn_loss_cls: 0.1375 d2.dn_loss_bbox: 0.1859 d2.dn_loss_iou: 0.2136 d3.dn_loss_cls: 0.1284 d3.dn_loss_bbox: 0.1783 d3.dn_loss_iou: 0.2064 d4.dn_loss_cls: 0.1203 d4.dn_loss_bbox: 0.1777 d4.dn_loss_iou: 0.2055 d1.loss_lmm_region: 0.1548 loss_lmm_image: 0.8451 +2024/11/07 23:54:17 - mmengine - INFO - Iter(train) [ 66300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:19:00 time: 1.0201 data_time: 0.0178 memory: 23929 grad_norm: 20.4434 loss: 10.1947 loss_cls: 0.3234 loss_bbox: 0.1554 loss_iou: 0.2674 d0.loss_cls: 0.3501 d0.loss_bbox: 0.1743 d0.loss_iou: 0.2891 d1.loss_cls: 0.3447 d1.loss_bbox: 0.1579 d1.loss_iou: 0.2695 d2.loss_cls: 0.3357 d2.loss_bbox: 0.1562 d2.loss_iou: 0.2677 d3.loss_cls: 0.3299 d3.loss_bbox: 0.1528 d3.loss_iou: 0.2669 d4.loss_cls: 0.3265 d4.loss_bbox: 0.1552 d4.loss_iou: 0.2675 enc_loss_cls: 0.3726 enc_loss_bbox: 0.1837 enc_loss_iou: 0.3052 dn_loss_cls: 0.0959 dn_loss_bbox: 0.1965 dn_loss_iou: 0.2330 d0.dn_loss_cls: 0.1824 d0.dn_loss_bbox: 0.3749 d0.dn_loss_iou: 0.3912 d1.dn_loss_cls: 0.1262 d1.dn_loss_bbox: 0.2376 d1.dn_loss_iou: 0.2711 d2.dn_loss_cls: 0.1075 d2.dn_loss_bbox: 0.2077 d2.dn_loss_iou: 0.2433 d3.dn_loss_cls: 0.1001 d3.dn_loss_bbox: 0.1973 d3.dn_loss_iou: 0.2342 d4.dn_loss_cls: 0.0978 d4.dn_loss_bbox: 0.1964 d4.dn_loss_iou: 0.2330 d1.loss_lmm_region: 0.1678 loss_lmm_image: 0.8490 +2024/11/07 23:56:00 - mmengine - INFO - Iter(train) [ 66400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:17:14 time: 1.0138 data_time: 0.0178 memory: 23376 grad_norm: 21.7490 loss: 10.6509 loss_cls: 0.3541 loss_bbox: 0.1655 loss_iou: 0.2810 d0.loss_cls: 0.3848 d0.loss_bbox: 0.1872 d0.loss_iou: 0.3093 d1.loss_cls: 0.3698 d1.loss_bbox: 0.1816 d1.loss_iou: 0.2976 d2.loss_cls: 0.3615 d2.loss_bbox: 0.1731 d2.loss_iou: 0.2881 d3.loss_cls: 0.3581 d3.loss_bbox: 0.1683 d3.loss_iou: 0.2829 d4.loss_cls: 0.3588 d4.loss_bbox: 0.1643 d4.loss_iou: 0.2803 enc_loss_cls: 0.3994 enc_loss_bbox: 0.1954 enc_loss_iou: 0.3318 dn_loss_cls: 0.1176 dn_loss_bbox: 0.1833 dn_loss_iou: 0.2362 d0.dn_loss_cls: 0.2015 d0.dn_loss_bbox: 0.3394 d0.dn_loss_iou: 0.3889 d1.dn_loss_cls: 0.1501 d1.dn_loss_bbox: 0.2150 d1.dn_loss_iou: 0.2694 d2.dn_loss_cls: 0.1362 d2.dn_loss_bbox: 0.1942 d2.dn_loss_iou: 0.2464 d3.dn_loss_cls: 0.1245 d3.dn_loss_bbox: 0.1844 d3.dn_loss_iou: 0.2376 d4.dn_loss_cls: 0.1216 d4.dn_loss_bbox: 0.1833 d4.dn_loss_iou: 0.2363 d1.loss_lmm_region: 0.1594 loss_lmm_image: 0.8330 +2024/11/07 23:57:43 - mmengine - INFO - Iter(train) [ 66500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:15:27 time: 1.0362 data_time: 0.0178 memory: 23416 grad_norm: 25.4564 loss: 10.5301 loss_cls: 0.3221 loss_bbox: 0.1671 loss_iou: 0.2889 d0.loss_cls: 0.3645 d0.loss_bbox: 0.1749 d0.loss_iou: 0.3018 d1.loss_cls: 0.3457 d1.loss_bbox: 0.1660 d1.loss_iou: 0.2895 d2.loss_cls: 0.3357 d2.loss_bbox: 0.1604 d2.loss_iou: 0.2871 d3.loss_cls: 0.3357 d3.loss_bbox: 0.1579 d3.loss_iou: 0.2861 d4.loss_cls: 0.3271 d4.loss_bbox: 0.1606 d4.loss_iou: 0.2870 enc_loss_cls: 0.3731 enc_loss_bbox: 0.1982 enc_loss_iou: 0.3263 dn_loss_cls: 0.1223 dn_loss_bbox: 0.1897 dn_loss_iou: 0.2513 d0.dn_loss_cls: 0.2113 d0.dn_loss_bbox: 0.3536 d0.dn_loss_iou: 0.4104 d1.dn_loss_cls: 0.1542 d1.dn_loss_bbox: 0.2247 d1.dn_loss_iou: 0.2846 d2.dn_loss_cls: 0.1386 d2.dn_loss_bbox: 0.1979 d2.dn_loss_iou: 0.2592 d3.dn_loss_cls: 0.1298 d3.dn_loss_bbox: 0.1903 d3.dn_loss_iou: 0.2522 d4.dn_loss_cls: 0.1255 d4.dn_loss_bbox: 0.1897 d4.dn_loss_iou: 0.2512 d1.loss_lmm_region: 0.1613 loss_lmm_image: 0.7767 +2024/11/07 23:59:25 - mmengine - INFO - Iter(train) [ 66600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:13:40 time: 1.0285 data_time: 0.0178 memory: 23503 grad_norm: 22.9102 loss: 11.0042 loss_cls: 0.3542 loss_bbox: 0.1814 loss_iou: 0.3005 d0.loss_cls: 0.3972 d0.loss_bbox: 0.1978 d0.loss_iou: 0.3222 d1.loss_cls: 0.3772 d1.loss_bbox: 0.1837 d1.loss_iou: 0.3059 d2.loss_cls: 0.3672 d2.loss_bbox: 0.1804 d2.loss_iou: 0.3007 d3.loss_cls: 0.3621 d3.loss_bbox: 0.1793 d3.loss_iou: 0.3003 d4.loss_cls: 0.3600 d4.loss_bbox: 0.1776 d4.loss_iou: 0.2976 enc_loss_cls: 0.4114 enc_loss_bbox: 0.2103 enc_loss_iou: 0.3422 dn_loss_cls: 0.1163 dn_loss_bbox: 0.2047 dn_loss_iou: 0.2426 d0.dn_loss_cls: 0.2101 d0.dn_loss_bbox: 0.3761 d0.dn_loss_iou: 0.3963 d1.dn_loss_cls: 0.1510 d1.dn_loss_bbox: 0.2414 d1.dn_loss_iou: 0.2774 d2.dn_loss_cls: 0.1357 d2.dn_loss_bbox: 0.2147 d2.dn_loss_iou: 0.2521 d3.dn_loss_cls: 0.1230 d3.dn_loss_bbox: 0.2073 d3.dn_loss_iou: 0.2445 d4.dn_loss_cls: 0.1165 d4.dn_loss_bbox: 0.2048 d4.dn_loss_iou: 0.2427 d1.loss_lmm_region: 0.1466 loss_lmm_image: 0.7912 +2024/11/08 00:01:07 - mmengine - INFO - Iter(train) [ 66700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:11:52 time: 1.0338 data_time: 0.0179 memory: 23011 grad_norm: 21.1104 loss: 9.9217 loss_cls: 0.3053 loss_bbox: 0.1503 loss_iou: 0.2832 d0.loss_cls: 0.3366 d0.loss_bbox: 0.1648 d0.loss_iou: 0.2985 d1.loss_cls: 0.3124 d1.loss_bbox: 0.1603 d1.loss_iou: 0.2973 d2.loss_cls: 0.3135 d2.loss_bbox: 0.1557 d2.loss_iou: 0.2879 d3.loss_cls: 0.3100 d3.loss_bbox: 0.1526 d3.loss_iou: 0.2845 d4.loss_cls: 0.3062 d4.loss_bbox: 0.1513 d4.loss_iou: 0.2843 enc_loss_cls: 0.3605 enc_loss_bbox: 0.1752 enc_loss_iou: 0.3148 dn_loss_cls: 0.0850 dn_loss_bbox: 0.1911 dn_loss_iou: 0.2443 d0.dn_loss_cls: 0.1709 d0.dn_loss_bbox: 0.3412 d0.dn_loss_iou: 0.3950 d1.dn_loss_cls: 0.1154 d1.dn_loss_bbox: 0.2266 d1.dn_loss_iou: 0.2782 d2.dn_loss_cls: 0.0997 d2.dn_loss_bbox: 0.1983 d2.dn_loss_iou: 0.2521 d3.dn_loss_cls: 0.0915 d3.dn_loss_bbox: 0.1917 d3.dn_loss_iou: 0.2457 d4.dn_loss_cls: 0.0857 d4.dn_loss_bbox: 0.1910 d4.dn_loss_iou: 0.2441 d1.loss_lmm_region: 0.1382 loss_lmm_image: 0.7307 +2024/11/08 00:02:49 - mmengine - INFO - Iter(train) [ 66800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:10:04 time: 1.0083 data_time: 0.0178 memory: 23905 grad_norm: 24.8544 loss: 9.4697 loss_cls: 0.2713 loss_bbox: 0.1484 loss_iou: 0.2601 d0.loss_cls: 0.2934 d0.loss_bbox: 0.1669 d0.loss_iou: 0.2830 d1.loss_cls: 0.2883 d1.loss_bbox: 0.1501 d1.loss_iou: 0.2659 d2.loss_cls: 0.2733 d2.loss_bbox: 0.1518 d2.loss_iou: 0.2653 d3.loss_cls: 0.2703 d3.loss_bbox: 0.1535 d3.loss_iou: 0.2656 d4.loss_cls: 0.2719 d4.loss_bbox: 0.1481 d4.loss_iou: 0.2611 enc_loss_cls: 0.3150 enc_loss_bbox: 0.1817 enc_loss_iou: 0.3054 dn_loss_cls: 0.0709 dn_loss_bbox: 0.1854 dn_loss_iou: 0.2360 d0.dn_loss_cls: 0.1705 d0.dn_loss_bbox: 0.3429 d0.dn_loss_iou: 0.3925 d1.dn_loss_cls: 0.1056 d1.dn_loss_bbox: 0.2200 d1.dn_loss_iou: 0.2712 d2.dn_loss_cls: 0.0861 d2.dn_loss_bbox: 0.1963 d2.dn_loss_iou: 0.2442 d3.dn_loss_cls: 0.0753 d3.dn_loss_bbox: 0.1874 d3.dn_loss_iou: 0.2375 d4.dn_loss_cls: 0.0718 d4.dn_loss_bbox: 0.1852 d4.dn_loss_iou: 0.2359 d1.loss_lmm_region: 0.1314 loss_lmm_image: 0.8334 +2024/11/08 00:04:31 - mmengine - INFO - Iter(train) [ 66900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:08:16 time: 1.0171 data_time: 0.0178 memory: 23583 grad_norm: 21.2176 loss: 8.4637 loss_cls: 0.2823 loss_bbox: 0.1115 loss_iou: 0.2351 d0.loss_cls: 0.3157 d0.loss_bbox: 0.1275 d0.loss_iou: 0.2540 d1.loss_cls: 0.3008 d1.loss_bbox: 0.1127 d1.loss_iou: 0.2390 d2.loss_cls: 0.2932 d2.loss_bbox: 0.1079 d2.loss_iou: 0.2348 d3.loss_cls: 0.2891 d3.loss_bbox: 0.1077 d3.loss_iou: 0.2334 d4.loss_cls: 0.2825 d4.loss_bbox: 0.1108 d4.loss_iou: 0.2344 enc_loss_cls: 0.3263 enc_loss_bbox: 0.1362 enc_loss_iou: 0.2697 dn_loss_cls: 0.0805 dn_loss_bbox: 0.1224 dn_loss_iou: 0.1961 d0.dn_loss_cls: 0.1574 d0.dn_loss_bbox: 0.2611 d0.dn_loss_iou: 0.3418 d1.dn_loss_cls: 0.1059 d1.dn_loss_bbox: 0.1529 d1.dn_loss_iou: 0.2282 d2.dn_loss_cls: 0.0923 d2.dn_loss_bbox: 0.1318 d2.dn_loss_iou: 0.2045 d3.dn_loss_cls: 0.0860 d3.dn_loss_bbox: 0.1234 d3.dn_loss_iou: 0.1970 d4.dn_loss_cls: 0.0818 d4.dn_loss_bbox: 0.1222 d4.dn_loss_iou: 0.1959 d1.loss_lmm_region: 0.1397 loss_lmm_image: 0.8384 +2024/11/08 00:06:12 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/08 00:06:12 - mmengine - INFO - Iter(train) [ 67000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:06:27 time: 1.0135 data_time: 0.0179 memory: 22938 grad_norm: 25.4915 loss: 10.1187 loss_cls: 0.3353 loss_bbox: 0.1617 loss_iou: 0.3058 d0.loss_cls: 0.3682 d0.loss_bbox: 0.1696 d0.loss_iou: 0.3156 d1.loss_cls: 0.3553 d1.loss_bbox: 0.1597 d1.loss_iou: 0.3032 d2.loss_cls: 0.3450 d2.loss_bbox: 0.1565 d2.loss_iou: 0.3004 d3.loss_cls: 0.3426 d3.loss_bbox: 0.1549 d3.loss_iou: 0.3012 d4.loss_cls: 0.3337 d4.loss_bbox: 0.1618 d4.loss_iou: 0.3054 enc_loss_cls: 0.3912 enc_loss_bbox: 0.1853 enc_loss_iou: 0.3362 dn_loss_cls: 0.1031 dn_loss_bbox: 0.1579 dn_loss_iou: 0.2249 d0.dn_loss_cls: 0.1863 d0.dn_loss_bbox: 0.2866 d0.dn_loss_iou: 0.3615 d1.dn_loss_cls: 0.1304 d1.dn_loss_bbox: 0.1888 d1.dn_loss_iou: 0.2566 d2.dn_loss_cls: 0.1161 d2.dn_loss_bbox: 0.1637 d2.dn_loss_iou: 0.2331 d3.dn_loss_cls: 0.1065 d3.dn_loss_bbox: 0.1588 d3.dn_loss_iou: 0.2268 d4.dn_loss_cls: 0.1038 d4.dn_loss_bbox: 0.1578 d4.dn_loss_iou: 0.2250 d1.loss_lmm_region: 0.1444 loss_lmm_image: 0.7979 +2024/11/08 00:07:54 - mmengine - INFO - Iter(train) [ 67100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:04:39 time: 1.0095 data_time: 0.0177 memory: 24116 grad_norm: 22.0357 loss: 9.0339 loss_cls: 0.2871 loss_bbox: 0.1208 loss_iou: 0.2247 d0.loss_cls: 0.3240 d0.loss_bbox: 0.1346 d0.loss_iou: 0.2431 d1.loss_cls: 0.3073 d1.loss_bbox: 0.1229 d1.loss_iou: 0.2273 d2.loss_cls: 0.3006 d2.loss_bbox: 0.1195 d2.loss_iou: 0.2255 d3.loss_cls: 0.2958 d3.loss_bbox: 0.1216 d3.loss_iou: 0.2246 d4.loss_cls: 0.2880 d4.loss_bbox: 0.1214 d4.loss_iou: 0.2256 enc_loss_cls: 0.3356 enc_loss_bbox: 0.1527 enc_loss_iou: 0.2668 dn_loss_cls: 0.0858 dn_loss_bbox: 0.1739 dn_loss_iou: 0.2221 d0.dn_loss_cls: 0.1718 d0.dn_loss_bbox: 0.3190 d0.dn_loss_iou: 0.3689 d1.dn_loss_cls: 0.1166 d1.dn_loss_bbox: 0.2054 d1.dn_loss_iou: 0.2535 d2.dn_loss_cls: 0.1003 d2.dn_loss_bbox: 0.1820 d2.dn_loss_iou: 0.2302 d3.dn_loss_cls: 0.0915 d3.dn_loss_bbox: 0.1742 d3.dn_loss_iou: 0.2226 d4.dn_loss_cls: 0.0867 d4.dn_loss_bbox: 0.1739 d4.dn_loss_iou: 0.2219 d1.loss_lmm_region: 0.1494 loss_lmm_image: 0.8149 +2024/11/08 00:09:35 - mmengine - INFO - Iter(train) [ 67200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:02:51 time: 1.0162 data_time: 0.0178 memory: 23497 grad_norm: 24.6851 loss: 10.8183 loss_cls: 0.3468 loss_bbox: 0.1708 loss_iou: 0.3216 d0.loss_cls: 0.3851 d0.loss_bbox: 0.1900 d0.loss_iou: 0.3389 d1.loss_cls: 0.3672 d1.loss_bbox: 0.1768 d1.loss_iou: 0.3283 d2.loss_cls: 0.3600 d2.loss_bbox: 0.1685 d2.loss_iou: 0.3201 d3.loss_cls: 0.3526 d3.loss_bbox: 0.1698 d3.loss_iou: 0.3206 d4.loss_cls: 0.3474 d4.loss_bbox: 0.1727 d4.loss_iou: 0.3231 enc_loss_cls: 0.3996 enc_loss_bbox: 0.2075 enc_loss_iou: 0.3625 dn_loss_cls: 0.1103 dn_loss_bbox: 0.1751 dn_loss_iou: 0.2483 d0.dn_loss_cls: 0.1906 d0.dn_loss_bbox: 0.3248 d0.dn_loss_iou: 0.4016 d1.dn_loss_cls: 0.1406 d1.dn_loss_bbox: 0.2125 d1.dn_loss_iou: 0.2844 d2.dn_loss_cls: 0.1222 d2.dn_loss_bbox: 0.1827 d2.dn_loss_iou: 0.2558 d3.dn_loss_cls: 0.1149 d3.dn_loss_bbox: 0.1761 d3.dn_loss_iou: 0.2490 d4.dn_loss_cls: 0.1113 d4.dn_loss_bbox: 0.1751 d4.dn_loss_iou: 0.2484 d1.loss_lmm_region: 0.1426 loss_lmm_image: 0.8222 +2024/11/08 00:11:18 - mmengine - INFO - Iter(train) [ 67300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:01:04 time: 1.0251 data_time: 0.0177 memory: 23661 grad_norm: 22.1543 loss: 9.9543 loss_cls: 0.3344 loss_bbox: 0.1578 loss_iou: 0.3083 d0.loss_cls: 0.3706 d0.loss_bbox: 0.1719 d0.loss_iou: 0.3326 d1.loss_cls: 0.3567 d1.loss_bbox: 0.1623 d1.loss_iou: 0.3181 d2.loss_cls: 0.3444 d2.loss_bbox: 0.1622 d2.loss_iou: 0.3133 d3.loss_cls: 0.3387 d3.loss_bbox: 0.1591 d3.loss_iou: 0.3104 d4.loss_cls: 0.3353 d4.loss_bbox: 0.1581 d4.loss_iou: 0.3080 enc_loss_cls: 0.3905 enc_loss_bbox: 0.1883 enc_loss_iou: 0.3571 dn_loss_cls: 0.0733 dn_loss_bbox: 0.1517 dn_loss_iou: 0.2163 d0.dn_loss_cls: 0.1543 d0.dn_loss_bbox: 0.2935 d0.dn_loss_iou: 0.3619 d1.dn_loss_cls: 0.1039 d1.dn_loss_bbox: 0.1853 d1.dn_loss_iou: 0.2491 d2.dn_loss_cls: 0.0861 d2.dn_loss_bbox: 0.1589 d2.dn_loss_iou: 0.2237 d3.dn_loss_cls: 0.0779 d3.dn_loss_bbox: 0.1532 d3.dn_loss_iou: 0.2175 d4.dn_loss_cls: 0.0739 d4.dn_loss_bbox: 0.1518 d4.dn_loss_iou: 0.2162 d1.loss_lmm_region: 0.1268 loss_lmm_image: 0.8008 +2024/11/08 00:13:00 - mmengine - INFO - Iter(train) [ 67400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:59:17 time: 1.0238 data_time: 0.0178 memory: 23471 grad_norm: 34.3374 loss: 10.1975 loss_cls: 0.3297 loss_bbox: 0.1558 loss_iou: 0.3103 d0.loss_cls: 0.3747 d0.loss_bbox: 0.1681 d0.loss_iou: 0.3269 d1.loss_cls: 0.3548 d1.loss_bbox: 0.1598 d1.loss_iou: 0.3159 d2.loss_cls: 0.3403 d2.loss_bbox: 0.1579 d2.loss_iou: 0.3146 d3.loss_cls: 0.3395 d3.loss_bbox: 0.1558 d3.loss_iou: 0.3116 d4.loss_cls: 0.3298 d4.loss_bbox: 0.1559 d4.loss_iou: 0.3113 enc_loss_cls: 0.3856 enc_loss_bbox: 0.1849 enc_loss_iou: 0.3494 dn_loss_cls: 0.0945 dn_loss_bbox: 0.1656 dn_loss_iou: 0.2377 d0.dn_loss_cls: 0.1689 d0.dn_loss_bbox: 0.3034 d0.dn_loss_iou: 0.3815 d1.dn_loss_cls: 0.1168 d1.dn_loss_bbox: 0.1969 d1.dn_loss_iou: 0.2718 d2.dn_loss_cls: 0.1024 d2.dn_loss_bbox: 0.1722 d2.dn_loss_iou: 0.2454 d3.dn_loss_cls: 0.0967 d3.dn_loss_bbox: 0.1657 d3.dn_loss_iou: 0.2386 d4.dn_loss_cls: 0.0949 d4.dn_loss_bbox: 0.1657 d4.dn_loss_iou: 0.2376 d1.loss_lmm_region: 0.1277 loss_lmm_image: 0.7806 +2024/11/08 00:14:42 - mmengine - INFO - Iter(train) [ 67500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:57:29 time: 1.0165 data_time: 0.0177 memory: 23119 grad_norm: 23.6746 loss: 8.6892 loss_cls: 0.2641 loss_bbox: 0.1262 loss_iou: 0.2148 d0.loss_cls: 0.2867 d0.loss_bbox: 0.1457 d0.loss_iou: 0.2315 d1.loss_cls: 0.2764 d1.loss_bbox: 0.1287 d1.loss_iou: 0.2173 d2.loss_cls: 0.2682 d2.loss_bbox: 0.1284 d2.loss_iou: 0.2154 d3.loss_cls: 0.2629 d3.loss_bbox: 0.1270 d3.loss_iou: 0.2157 d4.loss_cls: 0.2629 d4.loss_bbox: 0.1261 d4.loss_iou: 0.2141 enc_loss_cls: 0.3013 enc_loss_bbox: 0.1524 enc_loss_iou: 0.2501 dn_loss_cls: 0.0956 dn_loss_bbox: 0.1533 dn_loss_iou: 0.2073 d0.dn_loss_cls: 0.1813 d0.dn_loss_bbox: 0.3055 d0.dn_loss_iou: 0.3642 d1.dn_loss_cls: 0.1272 d1.dn_loss_bbox: 0.1873 d1.dn_loss_iou: 0.2436 d2.dn_loss_cls: 0.1123 d2.dn_loss_bbox: 0.1625 d2.dn_loss_iou: 0.2166 d3.dn_loss_cls: 0.1007 d3.dn_loss_bbox: 0.1543 d3.dn_loss_iou: 0.2083 d4.dn_loss_cls: 0.0978 d4.dn_loss_bbox: 0.1534 d4.dn_loss_iou: 0.2073 d1.loss_lmm_region: 0.1461 loss_lmm_image: 0.8488 +2024/11/08 00:16:24 - mmengine - INFO - Iter(train) [ 67600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:55:41 time: 1.0126 data_time: 0.0178 memory: 22809 grad_norm: 23.5918 loss: 9.1061 loss_cls: 0.2919 loss_bbox: 0.1398 loss_iou: 0.2324 d0.loss_cls: 0.3226 d0.loss_bbox: 0.1492 d0.loss_iou: 0.2523 d1.loss_cls: 0.3048 d1.loss_bbox: 0.1441 d1.loss_iou: 0.2434 d2.loss_cls: 0.3044 d2.loss_bbox: 0.1373 d2.loss_iou: 0.2338 d3.loss_cls: 0.2974 d3.loss_bbox: 0.1395 d3.loss_iou: 0.2325 d4.loss_cls: 0.2935 d4.loss_bbox: 0.1409 d4.loss_iou: 0.2339 enc_loss_cls: 0.3426 enc_loss_bbox: 0.1650 enc_loss_iou: 0.2662 dn_loss_cls: 0.0913 dn_loss_bbox: 0.1663 dn_loss_iou: 0.2016 d0.dn_loss_cls: 0.1707 d0.dn_loss_bbox: 0.3243 d0.dn_loss_iou: 0.3502 d1.dn_loss_cls: 0.1215 d1.dn_loss_bbox: 0.1990 d1.dn_loss_iou: 0.2351 d2.dn_loss_cls: 0.1068 d2.dn_loss_bbox: 0.1726 d2.dn_loss_iou: 0.2092 d3.dn_loss_cls: 0.0978 d3.dn_loss_bbox: 0.1673 d3.dn_loss_iou: 0.2028 d4.dn_loss_cls: 0.0919 d4.dn_loss_bbox: 0.1664 d4.dn_loss_iou: 0.2015 d1.loss_lmm_region: 0.1514 loss_lmm_image: 0.8107 +2024/11/08 00:18:07 - mmengine - INFO - Iter(train) [ 67700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:53:54 time: 1.0235 data_time: 0.0179 memory: 23997 grad_norm: 25.7496 loss: 10.0785 loss_cls: 0.3182 loss_bbox: 0.1365 loss_iou: 0.2796 d0.loss_cls: 0.3567 d0.loss_bbox: 0.1573 d0.loss_iou: 0.3007 d1.loss_cls: 0.3275 d1.loss_bbox: 0.1495 d1.loss_iou: 0.2883 d2.loss_cls: 0.3238 d2.loss_bbox: 0.1382 d2.loss_iou: 0.2804 d3.loss_cls: 0.3183 d3.loss_bbox: 0.1366 d3.loss_iou: 0.2807 d4.loss_cls: 0.3199 d4.loss_bbox: 0.1371 d4.loss_iou: 0.2792 enc_loss_cls: 0.3791 enc_loss_bbox: 0.1651 enc_loss_iou: 0.3164 dn_loss_cls: 0.0961 dn_loss_bbox: 0.1980 dn_loss_iou: 0.2325 d0.dn_loss_cls: 0.1828 d0.dn_loss_bbox: 0.3811 d0.dn_loss_iou: 0.3921 d1.dn_loss_cls: 0.1246 d1.dn_loss_bbox: 0.2354 d1.dn_loss_iou: 0.2674 d2.dn_loss_cls: 0.1070 d2.dn_loss_bbox: 0.2081 d2.dn_loss_iou: 0.2421 d3.dn_loss_cls: 0.0994 d3.dn_loss_bbox: 0.1989 d3.dn_loss_iou: 0.2341 d4.dn_loss_cls: 0.0963 d4.dn_loss_bbox: 0.1980 d4.dn_loss_iou: 0.2324 d1.loss_lmm_region: 0.1410 loss_lmm_image: 0.8223 +2024/11/08 00:19:48 - mmengine - INFO - Iter(train) [ 67800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:52:06 time: 1.0012 data_time: 0.0178 memory: 22697 grad_norm: 22.7733 loss: 9.9858 loss_cls: 0.3440 loss_bbox: 0.1495 loss_iou: 0.2445 d0.loss_cls: 0.3766 d0.loss_bbox: 0.1629 d0.loss_iou: 0.2600 d1.loss_cls: 0.3677 d1.loss_bbox: 0.1529 d1.loss_iou: 0.2494 d2.loss_cls: 0.3547 d2.loss_bbox: 0.1504 d2.loss_iou: 0.2449 d3.loss_cls: 0.3524 d3.loss_bbox: 0.1472 d3.loss_iou: 0.2417 d4.loss_cls: 0.3466 d4.loss_bbox: 0.1481 d4.loss_iou: 0.2430 enc_loss_cls: 0.3927 enc_loss_bbox: 0.1813 enc_loss_iou: 0.2863 dn_loss_cls: 0.1146 dn_loss_bbox: 0.1647 dn_loss_iou: 0.2245 d0.dn_loss_cls: 0.2078 d0.dn_loss_bbox: 0.3299 d0.dn_loss_iou: 0.3865 d1.dn_loss_cls: 0.1470 d1.dn_loss_bbox: 0.1944 d1.dn_loss_iou: 0.2570 d2.dn_loss_cls: 0.1271 d2.dn_loss_bbox: 0.1732 d2.dn_loss_iou: 0.2333 d3.dn_loss_cls: 0.1187 d3.dn_loss_bbox: 0.1655 d3.dn_loss_iou: 0.2259 d4.dn_loss_cls: 0.1143 d4.dn_loss_bbox: 0.1648 d4.dn_loss_iou: 0.2247 d1.loss_lmm_region: 0.1750 loss_lmm_image: 0.8403 +2024/11/08 00:21:31 - mmengine - INFO - Iter(train) [ 67900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:50:19 time: 1.0318 data_time: 0.0177 memory: 23553 grad_norm: 23.0276 loss: 9.0995 loss_cls: 0.2855 loss_bbox: 0.1234 loss_iou: 0.2870 d0.loss_cls: 0.3247 d0.loss_bbox: 0.1358 d0.loss_iou: 0.3001 d1.loss_cls: 0.3057 d1.loss_bbox: 0.1258 d1.loss_iou: 0.2897 d2.loss_cls: 0.2959 d2.loss_bbox: 0.1236 d2.loss_iou: 0.2854 d3.loss_cls: 0.2895 d3.loss_bbox: 0.1246 d3.loss_iou: 0.2852 d4.loss_cls: 0.2862 d4.loss_bbox: 0.1239 d4.loss_iou: 0.2868 enc_loss_cls: 0.3390 enc_loss_bbox: 0.1531 enc_loss_iou: 0.3220 dn_loss_cls: 0.0748 dn_loss_bbox: 0.1408 dn_loss_iou: 0.2110 d0.dn_loss_cls: 0.1600 d0.dn_loss_bbox: 0.2880 d0.dn_loss_iou: 0.3565 d1.dn_loss_cls: 0.1077 d1.dn_loss_bbox: 0.1709 d1.dn_loss_iou: 0.2434 d2.dn_loss_cls: 0.0881 d2.dn_loss_bbox: 0.1491 d2.dn_loss_iou: 0.2202 d3.dn_loss_cls: 0.0798 d3.dn_loss_bbox: 0.1419 d3.dn_loss_iou: 0.2124 d4.dn_loss_cls: 0.0748 d4.dn_loss_bbox: 0.1407 d4.dn_loss_iou: 0.2109 d1.loss_lmm_region: 0.1121 loss_lmm_image: 0.8235 +2024/11/08 00:23:13 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/08 00:23:13 - mmengine - INFO - Iter(train) [ 68000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:48:32 time: 1.0244 data_time: 0.0178 memory: 24460 grad_norm: 20.2194 loss: 10.5351 loss_cls: 0.3297 loss_bbox: 0.1793 loss_iou: 0.3037 d0.loss_cls: 0.3598 d0.loss_bbox: 0.1978 d0.loss_iou: 0.3263 d1.loss_cls: 0.3455 d1.loss_bbox: 0.1891 d1.loss_iou: 0.3129 d2.loss_cls: 0.3371 d2.loss_bbox: 0.1849 d2.loss_iou: 0.3115 d3.loss_cls: 0.3265 d3.loss_bbox: 0.1857 d3.loss_iou: 0.3117 d4.loss_cls: 0.3306 d4.loss_bbox: 0.1824 d4.loss_iou: 0.3057 enc_loss_cls: 0.3851 enc_loss_bbox: 0.2090 enc_loss_iou: 0.3356 dn_loss_cls: 0.0898 dn_loss_bbox: 0.1776 dn_loss_iou: 0.2498 d0.dn_loss_cls: 0.1801 d0.dn_loss_bbox: 0.3325 d0.dn_loss_iou: 0.4032 d1.dn_loss_cls: 0.1233 d1.dn_loss_bbox: 0.2083 d1.dn_loss_iou: 0.2829 d2.dn_loss_cls: 0.1053 d2.dn_loss_bbox: 0.1842 d2.dn_loss_iou: 0.2568 d3.dn_loss_cls: 0.0965 d3.dn_loss_bbox: 0.1779 d3.dn_loss_iou: 0.2504 d4.dn_loss_cls: 0.0902 d4.dn_loss_bbox: 0.1777 d4.dn_loss_iou: 0.2497 d1.loss_lmm_region: 0.1643 loss_lmm_image: 0.7848 +2024/11/08 00:24:55 - mmengine - INFO - Iter(train) [ 68100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:46:45 time: 1.0230 data_time: 0.0178 memory: 24241 grad_norm: 23.3463 loss: 9.8593 loss_cls: 0.3147 loss_bbox: 0.1469 loss_iou: 0.2658 d0.loss_cls: 0.3426 d0.loss_bbox: 0.1621 d0.loss_iou: 0.2843 d1.loss_cls: 0.3303 d1.loss_bbox: 0.1525 d1.loss_iou: 0.2679 d2.loss_cls: 0.3244 d2.loss_bbox: 0.1484 d2.loss_iou: 0.2660 d3.loss_cls: 0.3231 d3.loss_bbox: 0.1430 d3.loss_iou: 0.2640 d4.loss_cls: 0.3124 d4.loss_bbox: 0.1502 d4.loss_iou: 0.2686 enc_loss_cls: 0.3602 enc_loss_bbox: 0.1749 enc_loss_iou: 0.3058 dn_loss_cls: 0.0901 dn_loss_bbox: 0.1800 dn_loss_iou: 0.2306 d0.dn_loss_cls: 0.1899 d0.dn_loss_bbox: 0.3570 d0.dn_loss_iou: 0.3956 d1.dn_loss_cls: 0.1251 d1.dn_loss_bbox: 0.2207 d1.dn_loss_iou: 0.2699 d2.dn_loss_cls: 0.1072 d2.dn_loss_bbox: 0.1903 d2.dn_loss_iou: 0.2415 d3.dn_loss_cls: 0.0962 d3.dn_loss_bbox: 0.1820 d3.dn_loss_iou: 0.2328 d4.dn_loss_cls: 0.0907 d4.dn_loss_bbox: 0.1801 d4.dn_loss_iou: 0.2306 d1.loss_lmm_region: 0.1485 loss_lmm_image: 0.7920 +2024/11/08 00:26:37 - mmengine - INFO - Iter(train) [ 68200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:44:57 time: 1.0182 data_time: 0.0178 memory: 23556 grad_norm: 22.9230 loss: 10.5622 loss_cls: 0.3411 loss_bbox: 0.1708 loss_iou: 0.3144 d0.loss_cls: 0.3837 d0.loss_bbox: 0.1768 d0.loss_iou: 0.3280 d1.loss_cls: 0.3604 d1.loss_bbox: 0.1724 d1.loss_iou: 0.3210 d2.loss_cls: 0.3520 d2.loss_bbox: 0.1673 d2.loss_iou: 0.3128 d3.loss_cls: 0.3458 d3.loss_bbox: 0.1697 d3.loss_iou: 0.3131 d4.loss_cls: 0.3420 d4.loss_bbox: 0.1696 d4.loss_iou: 0.3136 enc_loss_cls: 0.3871 enc_loss_bbox: 0.2034 enc_loss_iou: 0.3513 dn_loss_cls: 0.0964 dn_loss_bbox: 0.1785 dn_loss_iou: 0.2352 d0.dn_loss_cls: 0.1873 d0.dn_loss_bbox: 0.3349 d0.dn_loss_iou: 0.3780 d1.dn_loss_cls: 0.1321 d1.dn_loss_bbox: 0.2133 d1.dn_loss_iou: 0.2683 d2.dn_loss_cls: 0.1150 d2.dn_loss_bbox: 0.1879 d2.dn_loss_iou: 0.2434 d3.dn_loss_cls: 0.1021 d3.dn_loss_bbox: 0.1801 d3.dn_loss_iou: 0.2366 d4.dn_loss_cls: 0.0979 d4.dn_loss_bbox: 0.1785 d4.dn_loss_iou: 0.2350 d1.loss_lmm_region: 0.1566 loss_lmm_image: 0.8088 +2024/11/08 00:28:20 - mmengine - INFO - Iter(train) [ 68300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:43:10 time: 1.0114 data_time: 0.0180 memory: 24117 grad_norm: 22.5631 loss: 10.0037 loss_cls: 0.2952 loss_bbox: 0.1655 loss_iou: 0.2678 d0.loss_cls: 0.3278 d0.loss_bbox: 0.1768 d0.loss_iou: 0.2850 d1.loss_cls: 0.3091 d1.loss_bbox: 0.1680 d1.loss_iou: 0.2714 d2.loss_cls: 0.3019 d2.loss_bbox: 0.1659 d2.loss_iou: 0.2689 d3.loss_cls: 0.3006 d3.loss_bbox: 0.1649 d3.loss_iou: 0.2671 d4.loss_cls: 0.2973 d4.loss_bbox: 0.1661 d4.loss_iou: 0.2679 enc_loss_cls: 0.3429 enc_loss_bbox: 0.1874 enc_loss_iou: 0.2992 dn_loss_cls: 0.0971 dn_loss_bbox: 0.1944 dn_loss_iou: 0.2372 d0.dn_loss_cls: 0.1852 d0.dn_loss_bbox: 0.3754 d0.dn_loss_iou: 0.3904 d1.dn_loss_cls: 0.1344 d1.dn_loss_bbox: 0.2291 d1.dn_loss_iou: 0.2691 d2.dn_loss_cls: 0.1177 d2.dn_loss_bbox: 0.2042 d2.dn_loss_iou: 0.2464 d3.dn_loss_cls: 0.1042 d3.dn_loss_bbox: 0.1963 d3.dn_loss_iou: 0.2388 d4.dn_loss_cls: 0.0986 d4.dn_loss_bbox: 0.1945 d4.dn_loss_iou: 0.2373 d1.loss_lmm_region: 0.1641 loss_lmm_image: 0.7926 +2024/11/08 00:30:02 - mmengine - INFO - Iter(train) [ 68400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:41:23 time: 1.0241 data_time: 0.0177 memory: 23119 grad_norm: 25.5698 loss: 9.5458 loss_cls: 0.3038 loss_bbox: 0.1361 loss_iou: 0.2527 d0.loss_cls: 0.3405 d0.loss_bbox: 0.1528 d0.loss_iou: 0.2685 d1.loss_cls: 0.3225 d1.loss_bbox: 0.1432 d1.loss_iou: 0.2601 d2.loss_cls: 0.3160 d2.loss_bbox: 0.1389 d2.loss_iou: 0.2549 d3.loss_cls: 0.3092 d3.loss_bbox: 0.1359 d3.loss_iou: 0.2529 d4.loss_cls: 0.3048 d4.loss_bbox: 0.1354 d4.loss_iou: 0.2519 enc_loss_cls: 0.3609 enc_loss_bbox: 0.1586 enc_loss_iou: 0.2886 dn_loss_cls: 0.1025 dn_loss_bbox: 0.1672 dn_loss_iou: 0.2282 d0.dn_loss_cls: 0.1930 d0.dn_loss_bbox: 0.3152 d0.dn_loss_iou: 0.3816 d1.dn_loss_cls: 0.1357 d1.dn_loss_bbox: 0.2040 d1.dn_loss_iou: 0.2641 d2.dn_loss_cls: 0.1192 d2.dn_loss_bbox: 0.1766 d2.dn_loss_iou: 0.2374 d3.dn_loss_cls: 0.1080 d3.dn_loss_bbox: 0.1691 d3.dn_loss_iou: 0.2298 d4.dn_loss_cls: 0.1037 d4.dn_loss_bbox: 0.1671 d4.dn_loss_iou: 0.2280 d1.loss_lmm_region: 0.1453 loss_lmm_image: 0.7820 +2024/11/08 00:31:46 - mmengine - INFO - Iter(train) [ 68500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:39:37 time: 1.0234 data_time: 0.0179 memory: 23097 grad_norm: nan loss: 9.7604 loss_cls: 0.3108 loss_bbox: 0.1447 loss_iou: 0.2681 d0.loss_cls: 0.3473 d0.loss_bbox: 0.1638 d0.loss_iou: 0.2900 d1.loss_cls: 0.3217 d1.loss_bbox: 0.1583 d1.loss_iou: 0.2817 d2.loss_cls: 0.3185 d2.loss_bbox: 0.1468 d2.loss_iou: 0.2735 d3.loss_cls: 0.3122 d3.loss_bbox: 0.1455 d3.loss_iou: 0.2682 d4.loss_cls: 0.3140 d4.loss_bbox: 0.1426 d4.loss_iou: 0.2658 enc_loss_cls: 0.3592 enc_loss_bbox: 0.1908 enc_loss_iou: 0.3145 dn_loss_cls: 0.0799 dn_loss_bbox: 0.1694 dn_loss_iou: 0.2301 d0.dn_loss_cls: 0.1729 d0.dn_loss_bbox: 0.3319 d0.dn_loss_iou: 0.3864 d1.dn_loss_cls: 0.1138 d1.dn_loss_bbox: 0.2050 d1.dn_loss_iou: 0.2663 d2.dn_loss_cls: 0.0971 d2.dn_loss_bbox: 0.1775 d2.dn_loss_iou: 0.2391 d3.dn_loss_cls: 0.0870 d3.dn_loss_bbox: 0.1709 d3.dn_loss_iou: 0.2319 d4.dn_loss_cls: 0.0808 d4.dn_loss_bbox: 0.1694 d4.dn_loss_iou: 0.2302 d1.loss_lmm_region: 0.1720 loss_lmm_image: 0.8104 +2024/11/08 00:33:29 - mmengine - INFO - Iter(train) [ 68600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:37:51 time: 1.0340 data_time: 0.0178 memory: 23172 grad_norm: 23.8154 loss: 9.9079 loss_cls: 0.3474 loss_bbox: 0.1422 loss_iou: 0.2681 d0.loss_cls: 0.3782 d0.loss_bbox: 0.1578 d0.loss_iou: 0.2879 d1.loss_cls: 0.3667 d1.loss_bbox: 0.1456 d1.loss_iou: 0.2700 d2.loss_cls: 0.3549 d2.loss_bbox: 0.1411 d2.loss_iou: 0.2672 d3.loss_cls: 0.3539 d3.loss_bbox: 0.1406 d3.loss_iou: 0.2667 d4.loss_cls: 0.3490 d4.loss_bbox: 0.1419 d4.loss_iou: 0.2675 enc_loss_cls: 0.3930 enc_loss_bbox: 0.1721 enc_loss_iou: 0.3049 dn_loss_cls: 0.0900 dn_loss_bbox: 0.1644 dn_loss_iou: 0.2281 d0.dn_loss_cls: 0.1728 d0.dn_loss_bbox: 0.3159 d0.dn_loss_iou: 0.3801 d1.dn_loss_cls: 0.1226 d1.dn_loss_bbox: 0.1954 d1.dn_loss_iou: 0.2646 d2.dn_loss_cls: 0.1034 d2.dn_loss_bbox: 0.1722 d2.dn_loss_iou: 0.2385 d3.dn_loss_cls: 0.0937 d3.dn_loss_bbox: 0.1660 d3.dn_loss_iou: 0.2302 d4.dn_loss_cls: 0.0904 d4.dn_loss_bbox: 0.1643 d4.dn_loss_iou: 0.2280 d1.loss_lmm_region: 0.1275 loss_lmm_image: 0.8429 +2024/11/08 00:35:11 - mmengine - INFO - Iter(train) [ 68700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:36:03 time: 1.0220 data_time: 0.0178 memory: 23921 grad_norm: 21.9250 loss: 8.8892 loss_cls: 0.2785 loss_bbox: 0.1292 loss_iou: 0.2276 d0.loss_cls: 0.3049 d0.loss_bbox: 0.1415 d0.loss_iou: 0.2485 d1.loss_cls: 0.2910 d1.loss_bbox: 0.1357 d1.loss_iou: 0.2345 d2.loss_cls: 0.2872 d2.loss_bbox: 0.1272 d2.loss_iou: 0.2274 d3.loss_cls: 0.2830 d3.loss_bbox: 0.1273 d3.loss_iou: 0.2267 d4.loss_cls: 0.2792 d4.loss_bbox: 0.1283 d4.loss_iou: 0.2267 enc_loss_cls: 0.3217 enc_loss_bbox: 0.1570 enc_loss_iou: 0.2667 dn_loss_cls: 0.0938 dn_loss_bbox: 0.1608 dn_loss_iou: 0.2019 d0.dn_loss_cls: 0.1748 d0.dn_loss_bbox: 0.3046 d0.dn_loss_iou: 0.3504 d1.dn_loss_cls: 0.1286 d1.dn_loss_bbox: 0.1935 d1.dn_loss_iou: 0.2356 d2.dn_loss_cls: 0.1137 d2.dn_loss_bbox: 0.1690 d2.dn_loss_iou: 0.2099 d3.dn_loss_cls: 0.1020 d3.dn_loss_bbox: 0.1618 d3.dn_loss_iou: 0.2030 d4.dn_loss_cls: 0.0946 d4.dn_loss_bbox: 0.1608 d4.dn_loss_iou: 0.2016 d1.loss_lmm_region: 0.1474 loss_lmm_image: 0.8318 +2024/11/08 00:36:54 - mmengine - INFO - Iter(train) [ 68800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:34:18 time: 1.0348 data_time: 0.0178 memory: 24852 grad_norm: 22.6565 loss: 9.7635 loss_cls: 0.2791 loss_bbox: 0.1447 loss_iou: 0.2647 d0.loss_cls: 0.3183 d0.loss_bbox: 0.1565 d0.loss_iou: 0.2769 d1.loss_cls: 0.2983 d1.loss_bbox: 0.1488 d1.loss_iou: 0.2717 d2.loss_cls: 0.2903 d2.loss_bbox: 0.1437 d2.loss_iou: 0.2653 d3.loss_cls: 0.2877 d3.loss_bbox: 0.1420 d3.loss_iou: 0.2631 d4.loss_cls: 0.2794 d4.loss_bbox: 0.1446 d4.loss_iou: 0.2645 enc_loss_cls: 0.3270 enc_loss_bbox: 0.1730 enc_loss_iou: 0.3016 dn_loss_cls: 0.1082 dn_loss_bbox: 0.1813 dn_loss_iou: 0.2423 d0.dn_loss_cls: 0.1930 d0.dn_loss_bbox: 0.3435 d0.dn_loss_iou: 0.3946 d1.dn_loss_cls: 0.1410 d1.dn_loss_bbox: 0.2198 d1.dn_loss_iou: 0.2775 d2.dn_loss_cls: 0.1251 d2.dn_loss_bbox: 0.1912 d2.dn_loss_iou: 0.2512 d3.dn_loss_cls: 0.1184 d3.dn_loss_bbox: 0.1825 d3.dn_loss_iou: 0.2437 d4.dn_loss_cls: 0.1101 d4.dn_loss_bbox: 0.1812 d4.dn_loss_iou: 0.2422 d1.loss_lmm_region: 0.1449 loss_lmm_image: 0.8304 +2024/11/08 00:38:37 - mmengine - INFO - Iter(train) [ 68900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:32:31 time: 1.0183 data_time: 0.0177 memory: 23635 grad_norm: 23.4523 loss: 9.2041 loss_cls: 0.2910 loss_bbox: 0.1273 loss_iou: 0.2300 d0.loss_cls: 0.3351 d0.loss_bbox: 0.1456 d0.loss_iou: 0.2501 d1.loss_cls: 0.3147 d1.loss_bbox: 0.1327 d1.loss_iou: 0.2354 d2.loss_cls: 0.3059 d2.loss_bbox: 0.1280 d2.loss_iou: 0.2282 d3.loss_cls: 0.2994 d3.loss_bbox: 0.1236 d3.loss_iou: 0.2275 d4.loss_cls: 0.2922 d4.loss_bbox: 0.1266 d4.loss_iou: 0.2281 enc_loss_cls: 0.3608 enc_loss_bbox: 0.1545 enc_loss_iou: 0.2711 dn_loss_cls: 0.0926 dn_loss_bbox: 0.1741 dn_loss_iou: 0.2174 d0.dn_loss_cls: 0.1793 d0.dn_loss_bbox: 0.3389 d0.dn_loss_iou: 0.3677 d1.dn_loss_cls: 0.1239 d1.dn_loss_bbox: 0.2104 d1.dn_loss_iou: 0.2506 d2.dn_loss_cls: 0.1052 d2.dn_loss_bbox: 0.1857 d2.dn_loss_iou: 0.2261 d3.dn_loss_cls: 0.0944 d3.dn_loss_bbox: 0.1750 d3.dn_loss_iou: 0.2181 d4.dn_loss_cls: 0.0915 d4.dn_loss_bbox: 0.1739 d4.dn_loss_iou: 0.2171 d1.loss_lmm_region: 0.1320 loss_lmm_image: 0.8223 +2024/11/08 00:40:19 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/08 00:40:19 - mmengine - INFO - Iter(train) [ 69000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:30:44 time: 1.0253 data_time: 0.0178 memory: 25073 grad_norm: 22.9848 loss: 10.3388 loss_cls: 0.3095 loss_bbox: 0.1599 loss_iou: 0.2896 d0.loss_cls: 0.3396 d0.loss_bbox: 0.1710 d0.loss_iou: 0.3016 d1.loss_cls: 0.3278 d1.loss_bbox: 0.1588 d1.loss_iou: 0.2939 d2.loss_cls: 0.3179 d2.loss_bbox: 0.1581 d2.loss_iou: 0.2907 d3.loss_cls: 0.3154 d3.loss_bbox: 0.1584 d3.loss_iou: 0.2889 d4.loss_cls: 0.3058 d4.loss_bbox: 0.1620 d4.loss_iou: 0.2929 enc_loss_cls: 0.3570 enc_loss_bbox: 0.1786 enc_loss_iou: 0.3216 dn_loss_cls: 0.1076 dn_loss_bbox: 0.1929 dn_loss_iou: 0.2564 d0.dn_loss_cls: 0.2024 d0.dn_loss_bbox: 0.3497 d0.dn_loss_iou: 0.4090 d1.dn_loss_cls: 0.1471 d1.dn_loss_bbox: 0.2276 d1.dn_loss_iou: 0.2936 d2.dn_loss_cls: 0.1252 d2.dn_loss_bbox: 0.2028 d2.dn_loss_iou: 0.2653 d3.dn_loss_cls: 0.1143 d3.dn_loss_bbox: 0.1943 d3.dn_loss_iou: 0.2578 d4.dn_loss_cls: 0.1086 d4.dn_loss_bbox: 0.1931 d4.dn_loss_iou: 0.2565 d1.loss_lmm_region: 0.1466 loss_lmm_image: 0.7892 +2024/11/08 00:42:03 - mmengine - INFO - Iter(train) [ 69100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:28:59 time: 1.0500 data_time: 0.0178 memory: 24128 grad_norm: 18.5617 loss: 9.1917 loss_cls: 0.2672 loss_bbox: 0.1254 loss_iou: 0.2266 d0.loss_cls: 0.2929 d0.loss_bbox: 0.1385 d0.loss_iou: 0.2472 d1.loss_cls: 0.2785 d1.loss_bbox: 0.1295 d1.loss_iou: 0.2346 d2.loss_cls: 0.2762 d2.loss_bbox: 0.1257 d2.loss_iou: 0.2287 d3.loss_cls: 0.2725 d3.loss_bbox: 0.1255 d3.loss_iou: 0.2275 d4.loss_cls: 0.2681 d4.loss_bbox: 0.1246 d4.loss_iou: 0.2264 enc_loss_cls: 0.3093 enc_loss_bbox: 0.1508 enc_loss_iou: 0.2672 dn_loss_cls: 0.0888 dn_loss_bbox: 0.1961 dn_loss_iou: 0.2388 d0.dn_loss_cls: 0.1709 d0.dn_loss_bbox: 0.3655 d0.dn_loss_iou: 0.3921 d1.dn_loss_cls: 0.1187 d1.dn_loss_bbox: 0.2334 d1.dn_loss_iou: 0.2748 d2.dn_loss_cls: 0.1019 d2.dn_loss_bbox: 0.2073 d2.dn_loss_iou: 0.2483 d3.dn_loss_cls: 0.0918 d3.dn_loss_bbox: 0.1976 d3.dn_loss_iou: 0.2401 d4.dn_loss_cls: 0.0880 d4.dn_loss_bbox: 0.1962 d4.dn_loss_iou: 0.2387 d1.loss_lmm_region: 0.1458 loss_lmm_image: 0.8142 +2024/11/08 00:43:45 - mmengine - INFO - Iter(train) [ 69200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:27:12 time: 1.0126 data_time: 0.0178 memory: 22361 grad_norm: 21.8971 loss: 9.6824 loss_cls: 0.2903 loss_bbox: 0.1449 loss_iou: 0.2589 d0.loss_cls: 0.3156 d0.loss_bbox: 0.1671 d0.loss_iou: 0.2772 d1.loss_cls: 0.3109 d1.loss_bbox: 0.1490 d1.loss_iou: 0.2615 d2.loss_cls: 0.3024 d2.loss_bbox: 0.1467 d2.loss_iou: 0.2585 d3.loss_cls: 0.2983 d3.loss_bbox: 0.1431 d3.loss_iou: 0.2568 d4.loss_cls: 0.2930 d4.loss_bbox: 0.1442 d4.loss_iou: 0.2574 enc_loss_cls: 0.3347 enc_loss_bbox: 0.1782 enc_loss_iou: 0.2947 dn_loss_cls: 0.0897 dn_loss_bbox: 0.1998 dn_loss_iou: 0.2272 d0.dn_loss_cls: 0.1825 d0.dn_loss_bbox: 0.3621 d0.dn_loss_iou: 0.3783 d1.dn_loss_cls: 0.1239 d1.dn_loss_bbox: 0.2334 d1.dn_loss_iou: 0.2597 d2.dn_loss_cls: 0.1051 d2.dn_loss_bbox: 0.2065 d2.dn_loss_iou: 0.2337 d3.dn_loss_cls: 0.0957 d3.dn_loss_bbox: 0.2014 d3.dn_loss_iou: 0.2285 d4.dn_loss_cls: 0.0899 d4.dn_loss_bbox: 0.1997 d4.dn_loss_iou: 0.2270 d1.loss_lmm_region: 0.1324 loss_lmm_image: 0.8223 +2024/11/08 00:45:28 - mmengine - INFO - Iter(train) [ 69300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:25:25 time: 1.0227 data_time: 0.0177 memory: 23938 grad_norm: 22.6723 loss: 9.8105 loss_cls: 0.3176 loss_bbox: 0.1478 loss_iou: 0.2665 d0.loss_cls: 0.3460 d0.loss_bbox: 0.1684 d0.loss_iou: 0.2814 d1.loss_cls: 0.3338 d1.loss_bbox: 0.1534 d1.loss_iou: 0.2684 d2.loss_cls: 0.3238 d2.loss_bbox: 0.1489 d2.loss_iou: 0.2660 d3.loss_cls: 0.3200 d3.loss_bbox: 0.1492 d3.loss_iou: 0.2663 d4.loss_cls: 0.3155 d4.loss_bbox: 0.1489 d4.loss_iou: 0.2677 enc_loss_cls: 0.3646 enc_loss_bbox: 0.1780 enc_loss_iou: 0.3001 dn_loss_cls: 0.0972 dn_loss_bbox: 0.1774 dn_loss_iou: 0.2182 d0.dn_loss_cls: 0.1856 d0.dn_loss_bbox: 0.3341 d0.dn_loss_iou: 0.3641 d1.dn_loss_cls: 0.1315 d1.dn_loss_bbox: 0.2147 d1.dn_loss_iou: 0.2523 d2.dn_loss_cls: 0.1193 d2.dn_loss_bbox: 0.1888 d2.dn_loss_iou: 0.2271 d3.dn_loss_cls: 0.1045 d3.dn_loss_bbox: 0.1794 d3.dn_loss_iou: 0.2196 d4.dn_loss_cls: 0.0985 d4.dn_loss_bbox: 0.1774 d4.dn_loss_iou: 0.2181 d1.loss_lmm_region: 0.1390 loss_lmm_image: 0.8316 +2024/11/08 00:47:10 - mmengine - INFO - Iter(train) [ 69400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:23:38 time: 1.0252 data_time: 0.0177 memory: 23871 grad_norm: 23.9455 loss: 9.1032 loss_cls: 0.2864 loss_bbox: 0.1292 loss_iou: 0.2501 d0.loss_cls: 0.3214 d0.loss_bbox: 0.1411 d0.loss_iou: 0.2706 d1.loss_cls: 0.3066 d1.loss_bbox: 0.1315 d1.loss_iou: 0.2565 d2.loss_cls: 0.2965 d2.loss_bbox: 0.1293 d2.loss_iou: 0.2518 d3.loss_cls: 0.2940 d3.loss_bbox: 0.1272 d3.loss_iou: 0.2489 d4.loss_cls: 0.2897 d4.loss_bbox: 0.1275 d4.loss_iou: 0.2485 enc_loss_cls: 0.3413 enc_loss_bbox: 0.1459 enc_loss_iou: 0.2848 dn_loss_cls: 0.0839 dn_loss_bbox: 0.1499 dn_loss_iou: 0.2194 d0.dn_loss_cls: 0.1732 d0.dn_loss_bbox: 0.2941 d0.dn_loss_iou: 0.3757 d1.dn_loss_cls: 0.1184 d1.dn_loss_bbox: 0.1809 d1.dn_loss_iou: 0.2527 d2.dn_loss_cls: 0.1032 d2.dn_loss_bbox: 0.1572 d2.dn_loss_iou: 0.2279 d3.dn_loss_cls: 0.0910 d3.dn_loss_bbox: 0.1512 d3.dn_loss_iou: 0.2212 d4.dn_loss_cls: 0.0853 d4.dn_loss_bbox: 0.1497 d4.dn_loss_iou: 0.2192 d1.loss_lmm_region: 0.1338 loss_lmm_image: 0.8367 +2024/11/08 00:48:53 - mmengine - INFO - Iter(train) [ 69500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:21:51 time: 1.0227 data_time: 0.0177 memory: 24017 grad_norm: 23.1007 loss: 9.8043 loss_cls: 0.2707 loss_bbox: 0.1470 loss_iou: 0.2233 d0.loss_cls: 0.2989 d0.loss_bbox: 0.1615 d0.loss_iou: 0.2348 d1.loss_cls: 0.2840 d1.loss_bbox: 0.1557 d1.loss_iou: 0.2300 d2.loss_cls: 0.2799 d2.loss_bbox: 0.1509 d2.loss_iou: 0.2254 d3.loss_cls: 0.2715 d3.loss_bbox: 0.1504 d3.loss_iou: 0.2249 d4.loss_cls: 0.2700 d4.loss_bbox: 0.1484 d4.loss_iou: 0.2239 enc_loss_cls: 0.3171 enc_loss_bbox: 0.1685 enc_loss_iou: 0.2481 dn_loss_cls: 0.1159 dn_loss_bbox: 0.2317 dn_loss_iou: 0.2393 d0.dn_loss_cls: 0.1923 d0.dn_loss_bbox: 0.4147 d0.dn_loss_iou: 0.3956 d1.dn_loss_cls: 0.1440 d1.dn_loss_bbox: 0.2727 d1.dn_loss_iou: 0.2741 d2.dn_loss_cls: 0.1281 d2.dn_loss_bbox: 0.2418 d2.dn_loss_iou: 0.2480 d3.dn_loss_cls: 0.1210 d3.dn_loss_bbox: 0.2330 d3.dn_loss_iou: 0.2407 d4.dn_loss_cls: 0.1161 d4.dn_loss_bbox: 0.2317 d4.dn_loss_iou: 0.2393 d1.loss_lmm_region: 0.1566 loss_lmm_image: 0.8835 +2024/11/08 00:50:35 - mmengine - INFO - Iter(train) [ 69600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:20:04 time: 1.0275 data_time: 0.0178 memory: 22883 grad_norm: 20.9671 loss: 10.2505 loss_cls: 0.3201 loss_bbox: 0.1678 loss_iou: 0.3014 d0.loss_cls: 0.3618 d0.loss_bbox: 0.1785 d0.loss_iou: 0.3173 d1.loss_cls: 0.3353 d1.loss_bbox: 0.1720 d1.loss_iou: 0.3087 d2.loss_cls: 0.3316 d2.loss_bbox: 0.1648 d2.loss_iou: 0.2993 d3.loss_cls: 0.3222 d3.loss_bbox: 0.1668 d3.loss_iou: 0.2995 d4.loss_cls: 0.3234 d4.loss_bbox: 0.1642 d4.loss_iou: 0.2988 enc_loss_cls: 0.3827 enc_loss_bbox: 0.1886 enc_loss_iou: 0.3374 dn_loss_cls: 0.0877 dn_loss_bbox: 0.1757 dn_loss_iou: 0.2469 d0.dn_loss_cls: 0.1699 d0.dn_loss_bbox: 0.3281 d0.dn_loss_iou: 0.3949 d1.dn_loss_cls: 0.1175 d1.dn_loss_bbox: 0.2107 d1.dn_loss_iou: 0.2796 d2.dn_loss_cls: 0.1017 d2.dn_loss_bbox: 0.1843 d2.dn_loss_iou: 0.2548 d3.dn_loss_cls: 0.0926 d3.dn_loss_bbox: 0.1763 d3.dn_loss_iou: 0.2478 d4.dn_loss_cls: 0.0878 d4.dn_loss_bbox: 0.1756 d4.dn_loss_iou: 0.2467 d1.loss_lmm_region: 0.1305 loss_lmm_image: 0.7991 +2024/11/08 00:52:16 - mmengine - INFO - Iter(train) [ 69700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:18:16 time: 1.0147 data_time: 0.0178 memory: 23742 grad_norm: 21.1759 loss: 9.2464 loss_cls: 0.2814 loss_bbox: 0.1362 loss_iou: 0.2442 d0.loss_cls: 0.3136 d0.loss_bbox: 0.1532 d0.loss_iou: 0.2664 d1.loss_cls: 0.2995 d1.loss_bbox: 0.1416 d1.loss_iou: 0.2507 d2.loss_cls: 0.2877 d2.loss_bbox: 0.1372 d2.loss_iou: 0.2461 d3.loss_cls: 0.2828 d3.loss_bbox: 0.1390 d3.loss_iou: 0.2481 d4.loss_cls: 0.2834 d4.loss_bbox: 0.1360 d4.loss_iou: 0.2445 enc_loss_cls: 0.3333 enc_loss_bbox: 0.1657 enc_loss_iou: 0.2878 dn_loss_cls: 0.0823 dn_loss_bbox: 0.1711 dn_loss_iou: 0.2232 d0.dn_loss_cls: 0.1677 d0.dn_loss_bbox: 0.3367 d0.dn_loss_iou: 0.3785 d1.dn_loss_cls: 0.1155 d1.dn_loss_bbox: 0.2097 d1.dn_loss_iou: 0.2589 d2.dn_loss_cls: 0.0980 d2.dn_loss_bbox: 0.1820 d2.dn_loss_iou: 0.2329 d3.dn_loss_cls: 0.0888 d3.dn_loss_bbox: 0.1732 d3.dn_loss_iou: 0.2250 d4.dn_loss_cls: 0.0838 d4.dn_loss_bbox: 0.1711 d4.dn_loss_iou: 0.2231 d1.loss_lmm_region: 0.1590 loss_lmm_image: 0.7876 +2024/11/08 00:52:49 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/08 00:52:49 - mmengine - WARNING - Reach the end of the dataloader, it will be restarted and continue to iterate. It is recommended to use `mmengine.dataset.InfiniteSampler` to enable the dataloader to iterate infinitely. +2024/11/08 00:54:02 - mmengine - INFO - Iter(train) [ 69800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:16:32 time: 1.0283 data_time: 0.0180 memory: 24094 grad_norm: 20.9505 loss: 10.2910 loss_cls: 0.3320 loss_bbox: 0.1559 loss_iou: 0.3161 d0.loss_cls: 0.3700 d0.loss_bbox: 0.1727 d0.loss_iou: 0.3387 d1.loss_cls: 0.3489 d1.loss_bbox: 0.1630 d1.loss_iou: 0.3262 d2.loss_cls: 0.3433 d2.loss_bbox: 0.1565 d2.loss_iou: 0.3200 d3.loss_cls: 0.3425 d3.loss_bbox: 0.1543 d3.loss_iou: 0.3151 d4.loss_cls: 0.3330 d4.loss_bbox: 0.1560 d4.loss_iou: 0.3158 enc_loss_cls: 0.3841 enc_loss_bbox: 0.1814 enc_loss_iou: 0.3572 dn_loss_cls: 0.0879 dn_loss_bbox: 0.1662 dn_loss_iou: 0.2229 d0.dn_loss_cls: 0.1706 d0.dn_loss_bbox: 0.3288 d0.dn_loss_iou: 0.3815 d1.dn_loss_cls: 0.1198 d1.dn_loss_bbox: 0.1985 d1.dn_loss_iou: 0.2587 d2.dn_loss_cls: 0.1022 d2.dn_loss_bbox: 0.1726 d2.dn_loss_iou: 0.2310 d3.dn_loss_cls: 0.0963 d3.dn_loss_bbox: 0.1663 d3.dn_loss_iou: 0.2237 d4.dn_loss_cls: 0.0892 d4.dn_loss_bbox: 0.1662 d4.dn_loss_iou: 0.2228 d1.loss_lmm_region: 0.1578 loss_lmm_image: 0.8451 +2024/11/08 00:55:45 - mmengine - INFO - Iter(train) [ 69900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:14:46 time: 1.0221 data_time: 0.0178 memory: 23853 grad_norm: 29.6779 loss: 9.5853 loss_cls: 0.2874 loss_bbox: 0.1526 loss_iou: 0.3052 d0.loss_cls: 0.3282 d0.loss_bbox: 0.1633 d0.loss_iou: 0.3160 d1.loss_cls: 0.3070 d1.loss_bbox: 0.1538 d1.loss_iou: 0.3072 d2.loss_cls: 0.2992 d2.loss_bbox: 0.1527 d2.loss_iou: 0.3057 d3.loss_cls: 0.2966 d3.loss_bbox: 0.1518 d3.loss_iou: 0.3028 d4.loss_cls: 0.2878 d4.loss_bbox: 0.1534 d4.loss_iou: 0.3057 enc_loss_cls: 0.3408 enc_loss_bbox: 0.1807 enc_loss_iou: 0.3421 dn_loss_cls: 0.0680 dn_loss_bbox: 0.1667 dn_loss_iou: 0.2298 d0.dn_loss_cls: 0.1564 d0.dn_loss_bbox: 0.3026 d0.dn_loss_iou: 0.3701 d1.dn_loss_cls: 0.0985 d1.dn_loss_bbox: 0.2007 d1.dn_loss_iou: 0.2598 d2.dn_loss_cls: 0.0800 d2.dn_loss_bbox: 0.1756 d2.dn_loss_iou: 0.2371 d3.dn_loss_cls: 0.0726 d3.dn_loss_bbox: 0.1684 d3.dn_loss_iou: 0.2310 d4.dn_loss_cls: 0.0687 d4.dn_loss_bbox: 0.1667 d4.dn_loss_iou: 0.2297 d1.loss_lmm_region: 0.1125 loss_lmm_image: 0.7505 +2024/11/08 00:57:28 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/08 00:57:28 - mmengine - INFO - Iter(train) [ 70000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:13:00 time: 1.0267 data_time: 0.0180 memory: 23712 grad_norm: 20.8032 loss: 10.0116 loss_cls: 0.3121 loss_bbox: 0.1555 loss_iou: 0.2987 d0.loss_cls: 0.3392 d0.loss_bbox: 0.1747 d0.loss_iou: 0.3217 d1.loss_cls: 0.3260 d1.loss_bbox: 0.1646 d1.loss_iou: 0.3034 d2.loss_cls: 0.3241 d2.loss_bbox: 0.1557 d2.loss_iou: 0.3001 d3.loss_cls: 0.3146 d3.loss_bbox: 0.1579 d3.loss_iou: 0.3025 d4.loss_cls: 0.3131 d4.loss_bbox: 0.1552 d4.loss_iou: 0.2995 enc_loss_cls: 0.3597 enc_loss_bbox: 0.1827 enc_loss_iou: 0.3369 dn_loss_cls: 0.0991 dn_loss_bbox: 0.1648 dn_loss_iou: 0.2324 d0.dn_loss_cls: 0.1665 d0.dn_loss_bbox: 0.3235 d0.dn_loss_iou: 0.3942 d1.dn_loss_cls: 0.1183 d1.dn_loss_bbox: 0.1961 d1.dn_loss_iou: 0.2675 d2.dn_loss_cls: 0.1038 d2.dn_loss_bbox: 0.1755 d2.dn_loss_iou: 0.2430 d3.dn_loss_cls: 0.0982 d3.dn_loss_bbox: 0.1669 d3.dn_loss_iou: 0.2346 d4.dn_loss_cls: 0.0988 d4.dn_loss_bbox: 0.1648 d4.dn_loss_iou: 0.2325 d1.loss_lmm_region: 0.1198 loss_lmm_image: 0.8134 +2024/11/08 00:59:10 - mmengine - INFO - Iter(train) [ 70100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:11:13 time: 1.0166 data_time: 0.0178 memory: 23425 grad_norm: 22.4876 loss: 10.4287 loss_cls: 0.3632 loss_bbox: 0.1602 loss_iou: 0.3242 d0.loss_cls: 0.4019 d0.loss_bbox: 0.1775 d0.loss_iou: 0.3419 d1.loss_cls: 0.3831 d1.loss_bbox: 0.1633 d1.loss_iou: 0.3280 d2.loss_cls: 0.3785 d2.loss_bbox: 0.1611 d2.loss_iou: 0.3233 d3.loss_cls: 0.3683 d3.loss_bbox: 0.1600 d3.loss_iou: 0.3243 d4.loss_cls: 0.3658 d4.loss_bbox: 0.1602 d4.loss_iou: 0.3253 enc_loss_cls: 0.4247 enc_loss_bbox: 0.1921 enc_loss_iou: 0.3656 dn_loss_cls: 0.0796 dn_loss_bbox: 0.1612 dn_loss_iou: 0.2232 d0.dn_loss_cls: 0.1636 d0.dn_loss_bbox: 0.2942 d0.dn_loss_iou: 0.3672 d1.dn_loss_cls: 0.1079 d1.dn_loss_bbox: 0.1889 d1.dn_loss_iou: 0.2585 d2.dn_loss_cls: 0.0932 d2.dn_loss_bbox: 0.1668 d2.dn_loss_iou: 0.2314 d3.dn_loss_cls: 0.0828 d3.dn_loss_bbox: 0.1624 d3.dn_loss_iou: 0.2243 d4.dn_loss_cls: 0.0809 d4.dn_loss_bbox: 0.1611 d4.dn_loss_iou: 0.2232 d1.loss_lmm_region: 0.1331 loss_lmm_image: 0.8329 +2024/11/08 01:00:52 - mmengine - INFO - Iter(train) [ 70200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:09:26 time: 1.0269 data_time: 0.0180 memory: 24099 grad_norm: 20.4067 loss: 9.0130 loss_cls: 0.2819 loss_bbox: 0.1381 loss_iou: 0.2737 d0.loss_cls: 0.3135 d0.loss_bbox: 0.1483 d0.loss_iou: 0.2886 d1.loss_cls: 0.2950 d1.loss_bbox: 0.1395 d1.loss_iou: 0.2746 d2.loss_cls: 0.2825 d2.loss_bbox: 0.1414 d2.loss_iou: 0.2745 d3.loss_cls: 0.2792 d3.loss_bbox: 0.1392 d3.loss_iou: 0.2759 d4.loss_cls: 0.2792 d4.loss_bbox: 0.1393 d4.loss_iou: 0.2757 enc_loss_cls: 0.3269 enc_loss_bbox: 0.1624 enc_loss_iou: 0.3081 dn_loss_cls: 0.0705 dn_loss_bbox: 0.1366 dn_loss_iou: 0.2049 d0.dn_loss_cls: 0.1497 d0.dn_loss_bbox: 0.3051 d0.dn_loss_iou: 0.3629 d1.dn_loss_cls: 0.1004 d1.dn_loss_bbox: 0.1713 d1.dn_loss_iou: 0.2403 d2.dn_loss_cls: 0.0836 d2.dn_loss_bbox: 0.1431 d2.dn_loss_iou: 0.2130 d3.dn_loss_cls: 0.0754 d3.dn_loss_bbox: 0.1384 d3.dn_loss_iou: 0.2064 d4.dn_loss_cls: 0.0707 d4.dn_loss_bbox: 0.1365 d4.dn_loss_iou: 0.2048 d1.loss_lmm_region: 0.1253 loss_lmm_image: 0.8363 +2024/11/08 01:02:36 - mmengine - INFO - Iter(train) [ 70300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:07:41 time: 1.0315 data_time: 0.0179 memory: 23479 grad_norm: 29.8897 loss: 10.5624 loss_cls: 0.3541 loss_bbox: 0.1679 loss_iou: 0.2858 d0.loss_cls: 0.3911 d0.loss_bbox: 0.1839 d0.loss_iou: 0.3040 d1.loss_cls: 0.3714 d1.loss_bbox: 0.1710 d1.loss_iou: 0.2922 d2.loss_cls: 0.3599 d2.loss_bbox: 0.1675 d2.loss_iou: 0.2883 d3.loss_cls: 0.3558 d3.loss_bbox: 0.1695 d3.loss_iou: 0.2874 d4.loss_cls: 0.3563 d4.loss_bbox: 0.1678 d4.loss_iou: 0.2849 enc_loss_cls: 0.4139 enc_loss_bbox: 0.1969 enc_loss_iou: 0.3255 dn_loss_cls: 0.1022 dn_loss_bbox: 0.1892 dn_loss_iou: 0.2343 d0.dn_loss_cls: 0.1845 d0.dn_loss_bbox: 0.3564 d0.dn_loss_iou: 0.3909 d1.dn_loss_cls: 0.1309 d1.dn_loss_bbox: 0.2266 d1.dn_loss_iou: 0.2691 d2.dn_loss_cls: 0.1149 d2.dn_loss_bbox: 0.1978 d2.dn_loss_iou: 0.2436 d3.dn_loss_cls: 0.1052 d3.dn_loss_bbox: 0.1919 d3.dn_loss_iou: 0.2364 d4.dn_loss_cls: 0.1016 d4.dn_loss_bbox: 0.1893 d4.dn_loss_iou: 0.2343 d1.loss_lmm_region: 0.1617 loss_lmm_image: 0.8066 +2024/11/08 01:04:18 - mmengine - INFO - Iter(train) [ 70400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:05:54 time: 1.0194 data_time: 0.0178 memory: 24087 grad_norm: 22.3899 loss: 9.0940 loss_cls: 0.2815 loss_bbox: 0.1280 loss_iou: 0.2556 d0.loss_cls: 0.3120 d0.loss_bbox: 0.1432 d0.loss_iou: 0.2681 d1.loss_cls: 0.2951 d1.loss_bbox: 0.1295 d1.loss_iou: 0.2571 d2.loss_cls: 0.2934 d2.loss_bbox: 0.1278 d2.loss_iou: 0.2557 d3.loss_cls: 0.2839 d3.loss_bbox: 0.1297 d3.loss_iou: 0.2571 d4.loss_cls: 0.2820 d4.loss_bbox: 0.1286 d4.loss_iou: 0.2556 enc_loss_cls: 0.3212 enc_loss_bbox: 0.1538 enc_loss_iou: 0.2871 dn_loss_cls: 0.0791 dn_loss_bbox: 0.1734 dn_loss_iou: 0.2201 d0.dn_loss_cls: 0.1638 d0.dn_loss_bbox: 0.3317 d0.dn_loss_iou: 0.3714 d1.dn_loss_cls: 0.1111 d1.dn_loss_bbox: 0.2082 d1.dn_loss_iou: 0.2556 d2.dn_loss_cls: 0.0965 d2.dn_loss_bbox: 0.1846 d2.dn_loss_iou: 0.2296 d3.dn_loss_cls: 0.0854 d3.dn_loss_bbox: 0.1757 d3.dn_loss_iou: 0.2213 d4.dn_loss_cls: 0.0801 d4.dn_loss_bbox: 0.1734 d4.dn_loss_iou: 0.2202 d1.loss_lmm_region: 0.1234 loss_lmm_image: 0.7433 +2024/11/08 01:06:01 - mmengine - INFO - Iter(train) [ 70500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:04:07 time: 1.0349 data_time: 0.0179 memory: 23209 grad_norm: 23.5509 loss: 10.7494 loss_cls: 0.3436 loss_bbox: 0.1736 loss_iou: 0.2967 d0.loss_cls: 0.3915 d0.loss_bbox: 0.1855 d0.loss_iou: 0.3149 d1.loss_cls: 0.3655 d1.loss_bbox: 0.1761 d1.loss_iou: 0.2968 d2.loss_cls: 0.3556 d2.loss_bbox: 0.1747 d2.loss_iou: 0.2991 d3.loss_cls: 0.3551 d3.loss_bbox: 0.1723 d3.loss_iou: 0.2966 d4.loss_cls: 0.3485 d4.loss_bbox: 0.1721 d4.loss_iou: 0.2963 enc_loss_cls: 0.4032 enc_loss_bbox: 0.2015 enc_loss_iou: 0.3368 dn_loss_cls: 0.1000 dn_loss_bbox: 0.1937 dn_loss_iou: 0.2496 d0.dn_loss_cls: 0.1972 d0.dn_loss_bbox: 0.3683 d0.dn_loss_iou: 0.4138 d1.dn_loss_cls: 0.1351 d1.dn_loss_bbox: 0.2350 d1.dn_loss_iou: 0.2895 d2.dn_loss_cls: 0.1166 d2.dn_loss_bbox: 0.2049 d2.dn_loss_iou: 0.2606 d3.dn_loss_cls: 0.1043 d3.dn_loss_bbox: 0.1954 d3.dn_loss_iou: 0.2512 d4.dn_loss_cls: 0.1013 d4.dn_loss_bbox: 0.1939 d4.dn_loss_iou: 0.2496 d1.loss_lmm_region: 0.1475 loss_lmm_image: 0.7861 +2024/11/08 01:07:43 - mmengine - INFO - Iter(train) [ 70600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:02:20 time: 1.0110 data_time: 0.0178 memory: 22370 grad_norm: 21.2001 loss: 8.5194 loss_cls: 0.2640 loss_bbox: 0.1183 loss_iou: 0.2302 d0.loss_cls: 0.2891 d0.loss_bbox: 0.1282 d0.loss_iou: 0.2464 d1.loss_cls: 0.2835 d1.loss_bbox: 0.1170 d1.loss_iou: 0.2299 d2.loss_cls: 0.2725 d2.loss_bbox: 0.1181 d2.loss_iou: 0.2308 d3.loss_cls: 0.2696 d3.loss_bbox: 0.1160 d3.loss_iou: 0.2289 d4.loss_cls: 0.2651 d4.loss_bbox: 0.1175 d4.loss_iou: 0.2305 enc_loss_cls: 0.3024 enc_loss_bbox: 0.1437 enc_loss_iou: 0.2662 dn_loss_cls: 0.0839 dn_loss_bbox: 0.1453 dn_loss_iou: 0.2041 d0.dn_loss_cls: 0.1540 d0.dn_loss_bbox: 0.2990 d0.dn_loss_iou: 0.3479 d1.dn_loss_cls: 0.1067 d1.dn_loss_bbox: 0.1789 d1.dn_loss_iou: 0.2358 d2.dn_loss_cls: 0.0937 d2.dn_loss_bbox: 0.1551 d2.dn_loss_iou: 0.2127 d3.dn_loss_cls: 0.0862 d3.dn_loss_bbox: 0.1466 d3.dn_loss_iou: 0.2052 d4.dn_loss_cls: 0.0854 d4.dn_loss_bbox: 0.1454 d4.dn_loss_iou: 0.2041 d1.loss_lmm_region: 0.1247 loss_lmm_image: 0.8368 +2024/11/08 01:09:25 - mmengine - INFO - Iter(train) [ 70700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:00:33 time: 1.0241 data_time: 0.0180 memory: 23444 grad_norm: 22.9943 loss: 9.6242 loss_cls: 0.2995 loss_bbox: 0.1516 loss_iou: 0.2736 d0.loss_cls: 0.3487 d0.loss_bbox: 0.1660 d0.loss_iou: 0.2929 d1.loss_cls: 0.3214 d1.loss_bbox: 0.1554 d1.loss_iou: 0.2772 d2.loss_cls: 0.3112 d2.loss_bbox: 0.1509 d2.loss_iou: 0.2732 d3.loss_cls: 0.3072 d3.loss_bbox: 0.1515 d3.loss_iou: 0.2725 d4.loss_cls: 0.3034 d4.loss_bbox: 0.1501 d4.loss_iou: 0.2727 enc_loss_cls: 0.3612 enc_loss_bbox: 0.1821 enc_loss_iou: 0.3147 dn_loss_cls: 0.0957 dn_loss_bbox: 0.1506 dn_loss_iou: 0.2149 d0.dn_loss_cls: 0.1864 d0.dn_loss_bbox: 0.2998 d0.dn_loss_iou: 0.3639 d1.dn_loss_cls: 0.1297 d1.dn_loss_bbox: 0.1844 d1.dn_loss_iou: 0.2506 d2.dn_loss_cls: 0.1090 d2.dn_loss_bbox: 0.1588 d2.dn_loss_iou: 0.2254 d3.dn_loss_cls: 0.0996 d3.dn_loss_bbox: 0.1520 d3.dn_loss_iou: 0.2167 d4.dn_loss_cls: 0.0955 d4.dn_loss_bbox: 0.1506 d4.dn_loss_iou: 0.2149 d1.loss_lmm_region: 0.1485 loss_lmm_image: 0.8402 +2024/11/08 01:11:07 - mmengine - INFO - Iter(train) [ 70800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:58:45 time: 1.0144 data_time: 0.0178 memory: 23453 grad_norm: 23.0520 loss: 10.3652 loss_cls: 0.3280 loss_bbox: 0.1662 loss_iou: 0.2922 d0.loss_cls: 0.3673 d0.loss_bbox: 0.1832 d0.loss_iou: 0.3138 d1.loss_cls: 0.3453 d1.loss_bbox: 0.1729 d1.loss_iou: 0.2992 d2.loss_cls: 0.3354 d2.loss_bbox: 0.1701 d2.loss_iou: 0.2952 d3.loss_cls: 0.3316 d3.loss_bbox: 0.1654 d3.loss_iou: 0.2919 d4.loss_cls: 0.3285 d4.loss_bbox: 0.1663 d4.loss_iou: 0.2912 enc_loss_cls: 0.3811 enc_loss_bbox: 0.1926 enc_loss_iou: 0.3319 dn_loss_cls: 0.0903 dn_loss_bbox: 0.1868 dn_loss_iou: 0.2429 d0.dn_loss_cls: 0.1759 d0.dn_loss_bbox: 0.3560 d0.dn_loss_iou: 0.4046 d1.dn_loss_cls: 0.1219 d1.dn_loss_bbox: 0.2232 d1.dn_loss_iou: 0.2791 d2.dn_loss_cls: 0.1045 d2.dn_loss_bbox: 0.1958 d2.dn_loss_iou: 0.2514 d3.dn_loss_cls: 0.0962 d3.dn_loss_bbox: 0.1884 d3.dn_loss_iou: 0.2444 d4.dn_loss_cls: 0.0912 d4.dn_loss_bbox: 0.1868 d4.dn_loss_iou: 0.2427 d1.loss_lmm_region: 0.1574 loss_lmm_image: 0.7767 +2024/11/08 01:12:50 - mmengine - INFO - Iter(train) [ 70900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:57:00 time: 1.0294 data_time: 0.0178 memory: 23896 grad_norm: 20.5675 loss: 9.8080 loss_cls: 0.3113 loss_bbox: 0.1561 loss_iou: 0.2861 d0.loss_cls: 0.3468 d0.loss_bbox: 0.1694 d0.loss_iou: 0.3104 d1.loss_cls: 0.3383 d1.loss_bbox: 0.1539 d1.loss_iou: 0.2880 d2.loss_cls: 0.3242 d2.loss_bbox: 0.1581 d2.loss_iou: 0.2846 d3.loss_cls: 0.3172 d3.loss_bbox: 0.1532 d3.loss_iou: 0.2853 d4.loss_cls: 0.3155 d4.loss_bbox: 0.1537 d4.loss_iou: 0.2854 enc_loss_cls: 0.3594 enc_loss_bbox: 0.1805 enc_loss_iou: 0.3314 dn_loss_cls: 0.0875 dn_loss_bbox: 0.1634 dn_loss_iou: 0.2211 d0.dn_loss_cls: 0.1775 d0.dn_loss_bbox: 0.3019 d0.dn_loss_iou: 0.3698 d1.dn_loss_cls: 0.1192 d1.dn_loss_bbox: 0.1951 d1.dn_loss_iou: 0.2571 d2.dn_loss_cls: 0.1025 d2.dn_loss_bbox: 0.1721 d2.dn_loss_iou: 0.2318 d3.dn_loss_cls: 0.0923 d3.dn_loss_bbox: 0.1645 d3.dn_loss_iou: 0.2231 d4.dn_loss_cls: 0.0873 d4.dn_loss_bbox: 0.1632 d4.dn_loss_iou: 0.2211 d1.loss_lmm_region: 0.1400 loss_lmm_image: 0.8086 +2024/11/08 01:14:32 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/08 01:14:32 - mmengine - INFO - Iter(train) [ 71000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:55:12 time: 1.0228 data_time: 0.0180 memory: 23738 grad_norm: 22.6257 loss: 9.0944 loss_cls: 0.2781 loss_bbox: 0.1389 loss_iou: 0.2783 d0.loss_cls: 0.3114 d0.loss_bbox: 0.1475 d0.loss_iou: 0.2879 d1.loss_cls: 0.2917 d1.loss_bbox: 0.1386 d1.loss_iou: 0.2794 d2.loss_cls: 0.2895 d2.loss_bbox: 0.1389 d2.loss_iou: 0.2772 d3.loss_cls: 0.2818 d3.loss_bbox: 0.1377 d3.loss_iou: 0.2762 d4.loss_cls: 0.2784 d4.loss_bbox: 0.1376 d4.loss_iou: 0.2774 enc_loss_cls: 0.3313 enc_loss_bbox: 0.1651 enc_loss_iou: 0.3097 dn_loss_cls: 0.0705 dn_loss_bbox: 0.1562 dn_loss_iou: 0.2126 d0.dn_loss_cls: 0.1486 d0.dn_loss_bbox: 0.3217 d0.dn_loss_iou: 0.3656 d1.dn_loss_cls: 0.0936 d1.dn_loss_bbox: 0.1889 d1.dn_loss_iou: 0.2447 d2.dn_loss_cls: 0.0794 d2.dn_loss_bbox: 0.1649 d2.dn_loss_iou: 0.2212 d3.dn_loss_cls: 0.0732 d3.dn_loss_bbox: 0.1578 d3.dn_loss_iou: 0.2140 d4.dn_loss_cls: 0.0697 d4.dn_loss_bbox: 0.1560 d4.dn_loss_iou: 0.2126 d1.loss_lmm_region: 0.1256 loss_lmm_image: 0.7645 +2024/11/08 01:16:14 - mmengine - INFO - Iter(train) [ 71100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:53:26 time: 1.0207 data_time: 0.0182 memory: 22629 grad_norm: 20.2141 loss: 10.2111 loss_cls: 0.3256 loss_bbox: 0.1606 loss_iou: 0.2975 d0.loss_cls: 0.3708 d0.loss_bbox: 0.1686 d0.loss_iou: 0.3112 d1.loss_cls: 0.3461 d1.loss_bbox: 0.1626 d1.loss_iou: 0.2992 d2.loss_cls: 0.3432 d2.loss_bbox: 0.1596 d2.loss_iou: 0.2989 d3.loss_cls: 0.3355 d3.loss_bbox: 0.1600 d3.loss_iou: 0.2973 d4.loss_cls: 0.3293 d4.loss_bbox: 0.1597 d4.loss_iou: 0.2982 enc_loss_cls: 0.3858 enc_loss_bbox: 0.1801 enc_loss_iou: 0.3342 dn_loss_cls: 0.0968 dn_loss_bbox: 0.1771 dn_loss_iou: 0.2427 d0.dn_loss_cls: 0.1762 d0.dn_loss_bbox: 0.3218 d0.dn_loss_iou: 0.3937 d1.dn_loss_cls: 0.1254 d1.dn_loss_bbox: 0.2037 d1.dn_loss_iou: 0.2766 d2.dn_loss_cls: 0.1076 d2.dn_loss_bbox: 0.1829 d2.dn_loss_iou: 0.2516 d3.dn_loss_cls: 0.0952 d3.dn_loss_bbox: 0.1780 d3.dn_loss_iou: 0.2441 d4.dn_loss_cls: 0.0952 d4.dn_loss_bbox: 0.1771 d4.dn_loss_iou: 0.2425 d1.loss_lmm_region: 0.1415 loss_lmm_image: 0.7574 +2024/11/08 01:17:57 - mmengine - INFO - Iter(train) [ 71200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:51:39 time: 1.0330 data_time: 0.0182 memory: 24455 grad_norm: 20.1012 loss: 8.6316 loss_cls: 0.2602 loss_bbox: 0.1303 loss_iou: 0.2272 d0.loss_cls: 0.3058 d0.loss_bbox: 0.1395 d0.loss_iou: 0.2388 d1.loss_cls: 0.2874 d1.loss_bbox: 0.1278 d1.loss_iou: 0.2255 d2.loss_cls: 0.2742 d2.loss_bbox: 0.1275 d2.loss_iou: 0.2254 d3.loss_cls: 0.2657 d3.loss_bbox: 0.1283 d3.loss_iou: 0.2249 d4.loss_cls: 0.2627 d4.loss_bbox: 0.1304 d4.loss_iou: 0.2259 enc_loss_cls: 0.3192 enc_loss_bbox: 0.1546 enc_loss_iou: 0.2609 dn_loss_cls: 0.0727 dn_loss_bbox: 0.1604 dn_loss_iou: 0.2070 d0.dn_loss_cls: 0.1618 d0.dn_loss_bbox: 0.3074 d0.dn_loss_iou: 0.3534 d1.dn_loss_cls: 0.1077 d1.dn_loss_bbox: 0.1900 d1.dn_loss_iou: 0.2378 d2.dn_loss_cls: 0.0882 d2.dn_loss_bbox: 0.1669 d2.dn_loss_iou: 0.2152 d3.dn_loss_cls: 0.0807 d3.dn_loss_bbox: 0.1622 d3.dn_loss_iou: 0.2086 d4.dn_loss_cls: 0.0740 d4.dn_loss_bbox: 0.1603 d4.dn_loss_iou: 0.2069 d1.loss_lmm_region: 0.1267 loss_lmm_image: 0.8016 +2024/11/08 01:19:39 - mmengine - INFO - Iter(train) [ 71300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:49:52 time: 1.0134 data_time: 0.0180 memory: 22223 grad_norm: nan loss: 8.3122 loss_cls: 0.2247 loss_bbox: 0.1313 loss_iou: 0.2274 d0.loss_cls: 0.2598 d0.loss_bbox: 0.1492 d0.loss_iou: 0.2413 d1.loss_cls: 0.2447 d1.loss_bbox: 0.1406 d1.loss_iou: 0.2347 d2.loss_cls: 0.2395 d2.loss_bbox: 0.1331 d2.loss_iou: 0.2278 d3.loss_cls: 0.2351 d3.loss_bbox: 0.1298 d3.loss_iou: 0.2262 d4.loss_cls: 0.2247 d4.loss_bbox: 0.1326 d4.loss_iou: 0.2269 enc_loss_cls: 0.2826 enc_loss_bbox: 0.1659 enc_loss_iou: 0.2620 dn_loss_cls: 0.0566 dn_loss_bbox: 0.1636 dn_loss_iou: 0.2136 d0.dn_loss_cls: 0.1398 d0.dn_loss_bbox: 0.3157 d0.dn_loss_iou: 0.3544 d1.dn_loss_cls: 0.0859 d1.dn_loss_bbox: 0.1973 d1.dn_loss_iou: 0.2452 d2.dn_loss_cls: 0.0694 d2.dn_loss_bbox: 0.1701 d2.dn_loss_iou: 0.2197 d3.dn_loss_cls: 0.0610 d3.dn_loss_bbox: 0.1648 d3.dn_loss_iou: 0.2146 d4.dn_loss_cls: 0.0579 d4.dn_loss_bbox: 0.1635 d4.dn_loss_iou: 0.2135 d1.loss_lmm_region: 0.1151 loss_lmm_image: 0.7505 +2024/11/08 01:21:22 - mmengine - INFO - Iter(train) [ 71400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:48:06 time: 1.0224 data_time: 0.0179 memory: 23160 grad_norm: 19.6798 loss: 9.4187 loss_cls: 0.2973 loss_bbox: 0.1583 loss_iou: 0.2701 d0.loss_cls: 0.3424 d0.loss_bbox: 0.1645 d0.loss_iou: 0.2824 d1.loss_cls: 0.3206 d1.loss_bbox: 0.1573 d1.loss_iou: 0.2726 d2.loss_cls: 0.3118 d2.loss_bbox: 0.1549 d2.loss_iou: 0.2690 d3.loss_cls: 0.3034 d3.loss_bbox: 0.1550 d3.loss_iou: 0.2688 d4.loss_cls: 0.2985 d4.loss_bbox: 0.1587 d4.loss_iou: 0.2700 enc_loss_cls: 0.3540 enc_loss_bbox: 0.1820 enc_loss_iou: 0.3069 dn_loss_cls: 0.0795 dn_loss_bbox: 0.1591 dn_loss_iou: 0.2149 d0.dn_loss_cls: 0.1621 d0.dn_loss_bbox: 0.3017 d0.dn_loss_iou: 0.3565 d1.dn_loss_cls: 0.1094 d1.dn_loss_bbox: 0.1908 d1.dn_loss_iou: 0.2452 d2.dn_loss_cls: 0.0924 d2.dn_loss_bbox: 0.1694 d2.dn_loss_iou: 0.2242 d3.dn_loss_cls: 0.0844 d3.dn_loss_bbox: 0.1601 d3.dn_loss_iou: 0.2161 d4.dn_loss_cls: 0.0798 d4.dn_loss_bbox: 0.1591 d4.dn_loss_iou: 0.2148 d1.loss_lmm_region: 0.1180 loss_lmm_image: 0.7827 +2024/11/08 01:23:04 - mmengine - INFO - Iter(train) [ 71500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:46:19 time: 1.0236 data_time: 0.0180 memory: 22937 grad_norm: 22.9407 loss: 8.6170 loss_cls: 0.2514 loss_bbox: 0.1334 loss_iou: 0.2274 d0.loss_cls: 0.2793 d0.loss_bbox: 0.1486 d0.loss_iou: 0.2467 d1.loss_cls: 0.2645 d1.loss_bbox: 0.1426 d1.loss_iou: 0.2395 d2.loss_cls: 0.2595 d2.loss_bbox: 0.1372 d2.loss_iou: 0.2318 d3.loss_cls: 0.2560 d3.loss_bbox: 0.1342 d3.loss_iou: 0.2305 d4.loss_cls: 0.2524 d4.loss_bbox: 0.1324 d4.loss_iou: 0.2281 enc_loss_cls: 0.2875 enc_loss_bbox: 0.1665 enc_loss_iou: 0.2691 dn_loss_cls: 0.0846 dn_loss_bbox: 0.1597 dn_loss_iou: 0.2017 d0.dn_loss_cls: 0.1614 d0.dn_loss_bbox: 0.3294 d0.dn_loss_iou: 0.3497 d1.dn_loss_cls: 0.1123 d1.dn_loss_bbox: 0.1976 d1.dn_loss_iou: 0.2356 d2.dn_loss_cls: 0.0983 d2.dn_loss_bbox: 0.1723 d2.dn_loss_iou: 0.2124 d3.dn_loss_cls: 0.0875 d3.dn_loss_bbox: 0.1622 d3.dn_loss_iou: 0.2041 d4.dn_loss_cls: 0.0848 d4.dn_loss_bbox: 0.1598 d4.dn_loss_iou: 0.2017 d1.loss_lmm_region: 0.1202 loss_lmm_image: 0.7630 +2024/11/08 01:24:47 - mmengine - INFO - Iter(train) [ 71600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:44:33 time: 1.0122 data_time: 0.0178 memory: 23031 grad_norm: 22.4440 loss: 9.4193 loss_cls: 0.3014 loss_bbox: 0.1393 loss_iou: 0.2676 d0.loss_cls: 0.3336 d0.loss_bbox: 0.1558 d0.loss_iou: 0.2868 d1.loss_cls: 0.3104 d1.loss_bbox: 0.1510 d1.loss_iou: 0.2804 d2.loss_cls: 0.3029 d2.loss_bbox: 0.1437 d2.loss_iou: 0.2729 d3.loss_cls: 0.3005 d3.loss_bbox: 0.1440 d3.loss_iou: 0.2720 d4.loss_cls: 0.3015 d4.loss_bbox: 0.1392 d4.loss_iou: 0.2667 enc_loss_cls: 0.3520 enc_loss_bbox: 0.1639 enc_loss_iou: 0.3023 dn_loss_cls: 0.0796 dn_loss_bbox: 0.1688 dn_loss_iou: 0.2219 d0.dn_loss_cls: 0.1617 d0.dn_loss_bbox: 0.3117 d0.dn_loss_iou: 0.3654 d1.dn_loss_cls: 0.1088 d1.dn_loss_bbox: 0.1985 d1.dn_loss_iou: 0.2545 d2.dn_loss_cls: 0.0926 d2.dn_loss_bbox: 0.1776 d2.dn_loss_iou: 0.2303 d3.dn_loss_cls: 0.0856 d3.dn_loss_bbox: 0.1700 d3.dn_loss_iou: 0.2229 d4.dn_loss_cls: 0.0809 d4.dn_loss_bbox: 0.1689 d4.dn_loss_iou: 0.2219 d1.loss_lmm_region: 0.1401 loss_lmm_image: 0.7696 +2024/11/08 01:26:30 - mmengine - INFO - Iter(train) [ 71700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:42:47 time: 1.0345 data_time: 0.0181 memory: 23172 grad_norm: 23.4889 loss: 9.7843 loss_cls: 0.3092 loss_bbox: 0.1498 loss_iou: 0.2924 d0.loss_cls: 0.3338 d0.loss_bbox: 0.1709 d0.loss_iou: 0.3166 d1.loss_cls: 0.3240 d1.loss_bbox: 0.1575 d1.loss_iou: 0.3032 d2.loss_cls: 0.3204 d2.loss_bbox: 0.1475 d2.loss_iou: 0.2918 d3.loss_cls: 0.3197 d3.loss_bbox: 0.1467 d3.loss_iou: 0.2881 d4.loss_cls: 0.3090 d4.loss_bbox: 0.1513 d4.loss_iou: 0.2941 enc_loss_cls: 0.3573 enc_loss_bbox: 0.1812 enc_loss_iou: 0.3321 dn_loss_cls: 0.0726 dn_loss_bbox: 0.1653 dn_loss_iou: 0.2302 d0.dn_loss_cls: 0.1590 d0.dn_loss_bbox: 0.3127 d0.dn_loss_iou: 0.3837 d1.dn_loss_cls: 0.1047 d1.dn_loss_bbox: 0.1935 d1.dn_loss_iou: 0.2618 d2.dn_loss_cls: 0.0860 d2.dn_loss_bbox: 0.1706 d2.dn_loss_iou: 0.2379 d3.dn_loss_cls: 0.0773 d3.dn_loss_bbox: 0.1666 d3.dn_loss_iou: 0.2312 d4.dn_loss_cls: 0.0734 d4.dn_loss_bbox: 0.1652 d4.dn_loss_iou: 0.2302 d1.loss_lmm_region: 0.1383 loss_lmm_image: 0.8276 +2024/11/08 01:28:13 - mmengine - INFO - Iter(train) [ 71800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:41:01 time: 1.0402 data_time: 0.0179 memory: 23225 grad_norm: 21.2105 loss: 9.4768 loss_cls: 0.2720 loss_bbox: 0.1459 loss_iou: 0.2632 d0.loss_cls: 0.3151 d0.loss_bbox: 0.1535 d0.loss_iou: 0.2769 d1.loss_cls: 0.2937 d1.loss_bbox: 0.1478 d1.loss_iou: 0.2687 d2.loss_cls: 0.2831 d2.loss_bbox: 0.1472 d2.loss_iou: 0.2657 d3.loss_cls: 0.2791 d3.loss_bbox: 0.1457 d3.loss_iou: 0.2643 d4.loss_cls: 0.2735 d4.loss_bbox: 0.1453 d4.loss_iou: 0.2625 enc_loss_cls: 0.3331 enc_loss_bbox: 0.1659 enc_loss_iou: 0.3000 dn_loss_cls: 0.0934 dn_loss_bbox: 0.1821 dn_loss_iou: 0.2304 d0.dn_loss_cls: 0.1835 d0.dn_loss_bbox: 0.3297 d0.dn_loss_iou: 0.3783 d1.dn_loss_cls: 0.1272 d1.dn_loss_bbox: 0.2130 d1.dn_loss_iou: 0.2619 d2.dn_loss_cls: 0.1112 d2.dn_loss_bbox: 0.1924 d2.dn_loss_iou: 0.2399 d3.dn_loss_cls: 0.0984 d3.dn_loss_bbox: 0.1838 d3.dn_loss_iou: 0.2321 d4.dn_loss_cls: 0.0950 d4.dn_loss_bbox: 0.1820 d4.dn_loss_iou: 0.2302 d1.loss_lmm_region: 0.1254 loss_lmm_image: 0.7847 +2024/11/08 01:29:55 - mmengine - INFO - Iter(train) [ 71900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:39:14 time: 1.0201 data_time: 0.0180 memory: 23397 grad_norm: 23.0552 loss: 8.3742 loss_cls: 0.2550 loss_bbox: 0.1211 loss_iou: 0.2115 d0.loss_cls: 0.2814 d0.loss_bbox: 0.1330 d0.loss_iou: 0.2278 d1.loss_cls: 0.2668 d1.loss_bbox: 0.1239 d1.loss_iou: 0.2178 d2.loss_cls: 0.2589 d2.loss_bbox: 0.1215 d2.loss_iou: 0.2124 d3.loss_cls: 0.2572 d3.loss_bbox: 0.1196 d3.loss_iou: 0.2107 d4.loss_cls: 0.2553 d4.loss_bbox: 0.1201 d4.loss_iou: 0.2107 enc_loss_cls: 0.2991 enc_loss_bbox: 0.1455 enc_loss_iou: 0.2487 dn_loss_cls: 0.0866 dn_loss_bbox: 0.1588 dn_loss_iou: 0.2029 d0.dn_loss_cls: 0.1577 d0.dn_loss_bbox: 0.3086 d0.dn_loss_iou: 0.3469 d1.dn_loss_cls: 0.1157 d1.dn_loss_bbox: 0.1937 d1.dn_loss_iou: 0.2366 d2.dn_loss_cls: 0.1034 d2.dn_loss_bbox: 0.1667 d2.dn_loss_iou: 0.2112 d3.dn_loss_cls: 0.0951 d3.dn_loss_bbox: 0.1591 d3.dn_loss_iou: 0.2035 d4.dn_loss_cls: 0.0894 d4.dn_loss_bbox: 0.1588 d4.dn_loss_iou: 0.2026 d1.loss_lmm_region: 0.0934 loss_lmm_image: 0.7857 +2024/11/08 01:31:38 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/08 01:31:38 - mmengine - INFO - Iter(train) [ 72000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:37:28 time: 1.0275 data_time: 0.0180 memory: 23813 grad_norm: 23.6670 loss: 9.0263 loss_cls: 0.2550 loss_bbox: 0.1375 loss_iou: 0.2334 d0.loss_cls: 0.2875 d0.loss_bbox: 0.1529 d0.loss_iou: 0.2477 d1.loss_cls: 0.2757 d1.loss_bbox: 0.1376 d1.loss_iou: 0.2332 d2.loss_cls: 0.2673 d2.loss_bbox: 0.1343 d2.loss_iou: 0.2313 d3.loss_cls: 0.2608 d3.loss_bbox: 0.1356 d3.loss_iou: 0.2317 d4.loss_cls: 0.2579 d4.loss_bbox: 0.1364 d4.loss_iou: 0.2317 enc_loss_cls: 0.3181 enc_loss_bbox: 0.1619 enc_loss_iou: 0.2600 dn_loss_cls: 0.0777 dn_loss_bbox: 0.1761 dn_loss_iou: 0.2315 d0.dn_loss_cls: 0.1798 d0.dn_loss_bbox: 0.3525 d0.dn_loss_iou: 0.3925 d1.dn_loss_cls: 0.1162 d1.dn_loss_bbox: 0.2173 d1.dn_loss_iou: 0.2676 d2.dn_loss_cls: 0.0958 d2.dn_loss_bbox: 0.1874 d2.dn_loss_iou: 0.2411 d3.dn_loss_cls: 0.0836 d3.dn_loss_bbox: 0.1769 d3.dn_loss_iou: 0.2325 d4.dn_loss_cls: 0.0783 d4.dn_loss_bbox: 0.1762 d4.dn_loss_iou: 0.2315 d1.loss_lmm_region: 0.1512 loss_lmm_image: 0.7729 +2024/11/08 01:33:21 - mmengine - INFO - Iter(train) [ 72100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:35:42 time: 1.0269 data_time: 0.0179 memory: 23364 grad_norm: 23.5443 loss: 10.2869 loss_cls: 0.3226 loss_bbox: 0.1710 loss_iou: 0.2897 d0.loss_cls: 0.3547 d0.loss_bbox: 0.1797 d0.loss_iou: 0.3006 d1.loss_cls: 0.3455 d1.loss_bbox: 0.1708 d1.loss_iou: 0.2890 d2.loss_cls: 0.3403 d2.loss_bbox: 0.1678 d2.loss_iou: 0.2885 d3.loss_cls: 0.3233 d3.loss_bbox: 0.1697 d3.loss_iou: 0.2896 d4.loss_cls: 0.3228 d4.loss_bbox: 0.1714 d4.loss_iou: 0.2891 enc_loss_cls: 0.3741 enc_loss_bbox: 0.1918 enc_loss_iou: 0.3189 dn_loss_cls: 0.0909 dn_loss_bbox: 0.1959 dn_loss_iou: 0.2436 d0.dn_loss_cls: 0.1739 d0.dn_loss_bbox: 0.3425 d0.dn_loss_iou: 0.3901 d1.dn_loss_cls: 0.1237 d1.dn_loss_bbox: 0.2253 d1.dn_loss_iou: 0.2749 d2.dn_loss_cls: 0.1074 d2.dn_loss_bbox: 0.2054 d2.dn_loss_iou: 0.2526 d3.dn_loss_cls: 0.1004 d3.dn_loss_bbox: 0.1960 d3.dn_loss_iou: 0.2449 d4.dn_loss_cls: 0.0924 d4.dn_loss_bbox: 0.1960 d4.dn_loss_iou: 0.2438 d1.loss_lmm_region: 0.1443 loss_lmm_image: 0.7720 +2024/11/08 01:35:04 - mmengine - INFO - Iter(train) [ 72200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:33:56 time: 1.0185 data_time: 0.0180 memory: 23539 grad_norm: 20.4725 loss: 10.9034 loss_cls: 0.3666 loss_bbox: 0.1695 loss_iou: 0.2903 d0.loss_cls: 0.4124 d0.loss_bbox: 0.1839 d0.loss_iou: 0.3091 d1.loss_cls: 0.3887 d1.loss_bbox: 0.1707 d1.loss_iou: 0.2948 d2.loss_cls: 0.3855 d2.loss_bbox: 0.1672 d2.loss_iou: 0.2902 d3.loss_cls: 0.3719 d3.loss_bbox: 0.1700 d3.loss_iou: 0.2899 d4.loss_cls: 0.3706 d4.loss_bbox: 0.1685 d4.loss_iou: 0.2894 enc_loss_cls: 0.4304 enc_loss_bbox: 0.2066 enc_loss_iou: 0.3355 dn_loss_cls: 0.1187 dn_loss_bbox: 0.1981 dn_loss_iou: 0.2434 d0.dn_loss_cls: 0.2144 d0.dn_loss_bbox: 0.3638 d0.dn_loss_iou: 0.4064 d1.dn_loss_cls: 0.1551 d1.dn_loss_bbox: 0.2408 d1.dn_loss_iou: 0.2817 d2.dn_loss_cls: 0.1339 d2.dn_loss_bbox: 0.2096 d2.dn_loss_iou: 0.2536 d3.dn_loss_cls: 0.1227 d3.dn_loss_bbox: 0.1996 d3.dn_loss_iou: 0.2451 d4.dn_loss_cls: 0.1194 d4.dn_loss_bbox: 0.1980 d4.dn_loss_iou: 0.2434 d1.loss_lmm_region: 0.1523 loss_lmm_image: 0.7418 +2024/11/08 01:36:46 - mmengine - INFO - Iter(train) [ 72300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:32:09 time: 1.0152 data_time: 0.0181 memory: 23589 grad_norm: 22.1922 loss: 11.0911 loss_cls: 0.3406 loss_bbox: 0.1924 loss_iou: 0.3333 d0.loss_cls: 0.3849 d0.loss_bbox: 0.2026 d0.loss_iou: 0.3521 d1.loss_cls: 0.3641 d1.loss_bbox: 0.1974 d1.loss_iou: 0.3399 d2.loss_cls: 0.3442 d2.loss_bbox: 0.1968 d2.loss_iou: 0.3382 d3.loss_cls: 0.3392 d3.loss_bbox: 0.1966 d3.loss_iou: 0.3376 d4.loss_cls: 0.3421 d4.loss_bbox: 0.1926 d4.loss_iou: 0.3320 enc_loss_cls: 0.3960 enc_loss_bbox: 0.2216 enc_loss_iou: 0.3779 dn_loss_cls: 0.0784 dn_loss_bbox: 0.1905 dn_loss_iou: 0.2637 d0.dn_loss_cls: 0.1939 d0.dn_loss_bbox: 0.3778 d0.dn_loss_iou: 0.4286 d1.dn_loss_cls: 0.1196 d1.dn_loss_bbox: 0.2351 d1.dn_loss_iou: 0.3016 d2.dn_loss_cls: 0.0996 d2.dn_loss_bbox: 0.2002 d2.dn_loss_iou: 0.2733 d3.dn_loss_cls: 0.0853 d3.dn_loss_bbox: 0.1925 d3.dn_loss_iou: 0.2654 d4.dn_loss_cls: 0.0802 d4.dn_loss_bbox: 0.1904 d4.dn_loss_iou: 0.2636 d1.loss_lmm_region: 0.1631 loss_lmm_image: 0.7662 +2024/11/08 01:38:28 - mmengine - INFO - Iter(train) [ 72400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:30:22 time: 1.0239 data_time: 0.0180 memory: 23516 grad_norm: 21.3330 loss: 9.5459 loss_cls: 0.3046 loss_bbox: 0.1490 loss_iou: 0.2581 d0.loss_cls: 0.3337 d0.loss_bbox: 0.1634 d0.loss_iou: 0.2756 d1.loss_cls: 0.3260 d1.loss_bbox: 0.1536 d1.loss_iou: 0.2633 d2.loss_cls: 0.3135 d2.loss_bbox: 0.1556 d2.loss_iou: 0.2620 d3.loss_cls: 0.3111 d3.loss_bbox: 0.1480 d3.loss_iou: 0.2583 d4.loss_cls: 0.3064 d4.loss_bbox: 0.1483 d4.loss_iou: 0.2575 enc_loss_cls: 0.3539 enc_loss_bbox: 0.1770 enc_loss_iou: 0.2945 dn_loss_cls: 0.0847 dn_loss_bbox: 0.1659 dn_loss_iou: 0.2287 d0.dn_loss_cls: 0.1761 d0.dn_loss_bbox: 0.3236 d0.dn_loss_iou: 0.3913 d1.dn_loss_cls: 0.1204 d1.dn_loss_bbox: 0.2051 d1.dn_loss_iou: 0.2679 d2.dn_loss_cls: 0.0986 d2.dn_loss_bbox: 0.1768 d2.dn_loss_iou: 0.2399 d3.dn_loss_cls: 0.0891 d3.dn_loss_bbox: 0.1673 d3.dn_loss_iou: 0.2306 d4.dn_loss_cls: 0.0851 d4.dn_loss_bbox: 0.1659 d4.dn_loss_iou: 0.2287 d1.loss_lmm_region: 0.1435 loss_lmm_image: 0.7433 +2024/11/08 01:40:10 - mmengine - INFO - Iter(train) [ 72500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:28:35 time: 1.0153 data_time: 0.0182 memory: 23575 grad_norm: 23.2773 loss: 8.5540 loss_cls: 0.2633 loss_bbox: 0.1303 loss_iou: 0.2270 d0.loss_cls: 0.2994 d0.loss_bbox: 0.1443 d0.loss_iou: 0.2440 d1.loss_cls: 0.2798 d1.loss_bbox: 0.1334 d1.loss_iou: 0.2340 d2.loss_cls: 0.2744 d2.loss_bbox: 0.1303 d2.loss_iou: 0.2298 d3.loss_cls: 0.2682 d3.loss_bbox: 0.1308 d3.loss_iou: 0.2290 d4.loss_cls: 0.2644 d4.loss_bbox: 0.1302 d4.loss_iou: 0.2268 enc_loss_cls: 0.3070 enc_loss_bbox: 0.1618 enc_loss_iou: 0.2717 dn_loss_cls: 0.0827 dn_loss_bbox: 0.1435 dn_loss_iou: 0.1990 d0.dn_loss_cls: 0.1619 d0.dn_loss_bbox: 0.2937 d0.dn_loss_iou: 0.3465 d1.dn_loss_cls: 0.1119 d1.dn_loss_bbox: 0.1794 d1.dn_loss_iou: 0.2349 d2.dn_loss_cls: 0.0972 d2.dn_loss_bbox: 0.1529 d2.dn_loss_iou: 0.2080 d3.dn_loss_cls: 0.0881 d3.dn_loss_bbox: 0.1448 d3.dn_loss_iou: 0.2005 d4.dn_loss_cls: 0.0835 d4.dn_loss_bbox: 0.1435 d4.dn_loss_iou: 0.1988 d1.loss_lmm_region: 0.1138 loss_lmm_image: 0.7895 +2024/11/08 01:41:52 - mmengine - INFO - Iter(train) [ 72600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:26:48 time: 1.0205 data_time: 0.0180 memory: 23469 grad_norm: 20.2444 loss: 10.5950 loss_cls: 0.3419 loss_bbox: 0.1693 loss_iou: 0.3312 d0.loss_cls: 0.3756 d0.loss_bbox: 0.1827 d0.loss_iou: 0.3482 d1.loss_cls: 0.3575 d1.loss_bbox: 0.1725 d1.loss_iou: 0.3381 d2.loss_cls: 0.3532 d2.loss_bbox: 0.1673 d2.loss_iou: 0.3337 d3.loss_cls: 0.3455 d3.loss_bbox: 0.1691 d3.loss_iou: 0.3305 d4.loss_cls: 0.3425 d4.loss_bbox: 0.1700 d4.loss_iou: 0.3317 enc_loss_cls: 0.3991 enc_loss_bbox: 0.1960 enc_loss_iou: 0.3735 dn_loss_cls: 0.0942 dn_loss_bbox: 0.1742 dn_loss_iou: 0.2298 d0.dn_loss_cls: 0.1822 d0.dn_loss_bbox: 0.3291 d0.dn_loss_iou: 0.3847 d1.dn_loss_cls: 0.1264 d1.dn_loss_bbox: 0.2072 d1.dn_loss_iou: 0.2648 d2.dn_loss_cls: 0.1121 d2.dn_loss_bbox: 0.1820 d2.dn_loss_iou: 0.2376 d3.dn_loss_cls: 0.1005 d3.dn_loss_bbox: 0.1754 d3.dn_loss_iou: 0.2307 d4.dn_loss_cls: 0.0948 d4.dn_loss_bbox: 0.1740 d4.dn_loss_iou: 0.2297 d1.loss_lmm_region: 0.1281 loss_lmm_image: 0.8083 +2024/11/08 01:43:34 - mmengine - INFO - Iter(train) [ 72700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:25:01 time: 1.0158 data_time: 0.0183 memory: 23473 grad_norm: 25.4783 loss: 9.4875 loss_cls: 0.2830 loss_bbox: 0.1606 loss_iou: 0.2540 d0.loss_cls: 0.3090 d0.loss_bbox: 0.1704 d0.loss_iou: 0.2686 d1.loss_cls: 0.2989 d1.loss_bbox: 0.1630 d1.loss_iou: 0.2607 d2.loss_cls: 0.2927 d2.loss_bbox: 0.1600 d2.loss_iou: 0.2582 d3.loss_cls: 0.2887 d3.loss_bbox: 0.1584 d3.loss_iou: 0.2542 d4.loss_cls: 0.2847 d4.loss_bbox: 0.1607 d4.loss_iou: 0.2537 enc_loss_cls: 0.3286 enc_loss_bbox: 0.1823 enc_loss_iou: 0.2904 dn_loss_cls: 0.0867 dn_loss_bbox: 0.1841 dn_loss_iou: 0.2250 d0.dn_loss_cls: 0.1709 d0.dn_loss_bbox: 0.3395 d0.dn_loss_iou: 0.3713 d1.dn_loss_cls: 0.1163 d1.dn_loss_bbox: 0.2164 d1.dn_loss_iou: 0.2567 d2.dn_loss_cls: 0.1002 d2.dn_loss_bbox: 0.1917 d2.dn_loss_iou: 0.2323 d3.dn_loss_cls: 0.0905 d3.dn_loss_bbox: 0.1852 d3.dn_loss_iou: 0.2264 d4.dn_loss_cls: 0.0872 d4.dn_loss_bbox: 0.1840 d4.dn_loss_iou: 0.2251 d1.loss_lmm_region: 0.1326 loss_lmm_image: 0.7845 +2024/11/08 01:45:17 - mmengine - INFO - Iter(train) [ 72800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:23:15 time: 1.0221 data_time: 0.0180 memory: 23575 grad_norm: 22.1149 loss: 8.9370 loss_cls: 0.2650 loss_bbox: 0.1333 loss_iou: 0.2264 d0.loss_cls: 0.2967 d0.loss_bbox: 0.1496 d0.loss_iou: 0.2497 d1.loss_cls: 0.2838 d1.loss_bbox: 0.1367 d1.loss_iou: 0.2326 d2.loss_cls: 0.2692 d2.loss_bbox: 0.1375 d2.loss_iou: 0.2299 d3.loss_cls: 0.2751 d3.loss_bbox: 0.1290 d3.loss_iou: 0.2218 d4.loss_cls: 0.2680 d4.loss_bbox: 0.1320 d4.loss_iou: 0.2242 enc_loss_cls: 0.3164 enc_loss_bbox: 0.1611 enc_loss_iou: 0.2702 dn_loss_cls: 0.0749 dn_loss_bbox: 0.1716 dn_loss_iou: 0.2176 d0.dn_loss_cls: 0.1799 d0.dn_loss_bbox: 0.3636 d0.dn_loss_iou: 0.3868 d1.dn_loss_cls: 0.1149 d1.dn_loss_bbox: 0.2135 d1.dn_loss_iou: 0.2570 d2.dn_loss_cls: 0.0918 d2.dn_loss_bbox: 0.1829 d2.dn_loss_iou: 0.2291 d3.dn_loss_cls: 0.0804 d3.dn_loss_bbox: 0.1730 d3.dn_loss_iou: 0.2193 d4.dn_loss_cls: 0.0763 d4.dn_loss_bbox: 0.1717 d4.dn_loss_iou: 0.2176 d1.loss_lmm_region: 0.1572 loss_lmm_image: 0.7497 +2024/11/08 01:47:00 - mmengine - INFO - Iter(train) [ 72900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:21:29 time: 1.0238 data_time: 0.0181 memory: 23438 grad_norm: 20.9774 loss: 9.1661 loss_cls: 0.2467 loss_bbox: 0.1452 loss_iou: 0.2442 d0.loss_cls: 0.2732 d0.loss_bbox: 0.1510 d0.loss_iou: 0.2593 d1.loss_cls: 0.2610 d1.loss_bbox: 0.1426 d1.loss_iou: 0.2491 d2.loss_cls: 0.2538 d2.loss_bbox: 0.1464 d2.loss_iou: 0.2470 d3.loss_cls: 0.2487 d3.loss_bbox: 0.1469 d3.loss_iou: 0.2469 d4.loss_cls: 0.2491 d4.loss_bbox: 0.1424 d4.loss_iou: 0.2431 enc_loss_cls: 0.2933 enc_loss_bbox: 0.1633 enc_loss_iou: 0.2773 dn_loss_cls: 0.0857 dn_loss_bbox: 0.1856 dn_loss_iou: 0.2351 d0.dn_loss_cls: 0.1782 d0.dn_loss_bbox: 0.3439 d0.dn_loss_iou: 0.3905 d1.dn_loss_cls: 0.1188 d1.dn_loss_bbox: 0.2179 d1.dn_loss_iou: 0.2687 d2.dn_loss_cls: 0.1027 d2.dn_loss_bbox: 0.1959 d2.dn_loss_iou: 0.2440 d3.dn_loss_cls: 0.0944 d3.dn_loss_bbox: 0.1874 d3.dn_loss_iou: 0.2362 d4.dn_loss_cls: 0.0864 d4.dn_loss_bbox: 0.1855 d4.dn_loss_iou: 0.2349 d1.loss_lmm_region: 0.1620 loss_lmm_image: 0.7817 +2024/11/08 01:48:42 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/08 01:48:42 - mmengine - INFO - Iter(train) [ 73000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:19:43 time: 1.0246 data_time: 0.0180 memory: 23952 grad_norm: 21.9588 loss: 9.0054 loss_cls: 0.2871 loss_bbox: 0.1434 loss_iou: 0.2630 d0.loss_cls: 0.3278 d0.loss_bbox: 0.1599 d0.loss_iou: 0.2786 d1.loss_cls: 0.3101 d1.loss_bbox: 0.1474 d1.loss_iou: 0.2646 d2.loss_cls: 0.2964 d2.loss_bbox: 0.1464 d2.loss_iou: 0.2664 d3.loss_cls: 0.2920 d3.loss_bbox: 0.1443 d3.loss_iou: 0.2633 d4.loss_cls: 0.2886 d4.loss_bbox: 0.1431 d4.loss_iou: 0.2626 enc_loss_cls: 0.3487 enc_loss_bbox: 0.1672 enc_loss_iou: 0.3037 dn_loss_cls: 0.0605 dn_loss_bbox: 0.1444 dn_loss_iou: 0.2095 d0.dn_loss_cls: 0.1490 d0.dn_loss_bbox: 0.2868 d0.dn_loss_iou: 0.3581 d1.dn_loss_cls: 0.0926 d1.dn_loss_bbox: 0.1754 d1.dn_loss_iou: 0.2419 d2.dn_loss_cls: 0.0759 d2.dn_loss_bbox: 0.1536 d2.dn_loss_iou: 0.2173 d3.dn_loss_cls: 0.0672 d3.dn_loss_bbox: 0.1458 d3.dn_loss_iou: 0.2107 d4.dn_loss_cls: 0.0617 d4.dn_loss_bbox: 0.1445 d4.dn_loss_iou: 0.2095 d1.loss_lmm_region: 0.1113 loss_lmm_image: 0.7851 +2024/11/08 01:50:24 - mmengine - INFO - Iter(train) [ 73100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:17:56 time: 1.0270 data_time: 0.0182 memory: 23533 grad_norm: 20.2220 loss: 9.2142 loss_cls: 0.2658 loss_bbox: 0.1491 loss_iou: 0.2825 d0.loss_cls: 0.2990 d0.loss_bbox: 0.1562 d0.loss_iou: 0.3002 d1.loss_cls: 0.2799 d1.loss_bbox: 0.1479 d1.loss_iou: 0.2874 d2.loss_cls: 0.2690 d2.loss_bbox: 0.1485 d2.loss_iou: 0.2839 d3.loss_cls: 0.2675 d3.loss_bbox: 0.1487 d3.loss_iou: 0.2837 d4.loss_cls: 0.2636 d4.loss_bbox: 0.1490 d4.loss_iou: 0.2851 enc_loss_cls: 0.3060 enc_loss_bbox: 0.1719 enc_loss_iou: 0.3194 dn_loss_cls: 0.0562 dn_loss_bbox: 0.1697 dn_loss_iou: 0.2343 d0.dn_loss_cls: 0.1431 d0.dn_loss_bbox: 0.3224 d0.dn_loss_iou: 0.3797 d1.dn_loss_cls: 0.0874 d1.dn_loss_bbox: 0.2032 d1.dn_loss_iou: 0.2649 d2.dn_loss_cls: 0.0706 d2.dn_loss_bbox: 0.1779 d2.dn_loss_iou: 0.2418 d3.dn_loss_cls: 0.0624 d3.dn_loss_bbox: 0.1720 d3.dn_loss_iou: 0.2359 d4.dn_loss_cls: 0.0566 d4.dn_loss_bbox: 0.1697 d4.dn_loss_iou: 0.2342 d1.loss_lmm_region: 0.1260 loss_lmm_image: 0.7420 +2024/11/08 01:52:07 - mmengine - INFO - Iter(train) [ 73200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:16:10 time: 1.0279 data_time: 0.0181 memory: 24177 grad_norm: 19.9638 loss: 9.1330 loss_cls: 0.2792 loss_bbox: 0.1274 loss_iou: 0.2175 d0.loss_cls: 0.2983 d0.loss_bbox: 0.1506 d0.loss_iou: 0.2446 d1.loss_cls: 0.2919 d1.loss_bbox: 0.1383 d1.loss_iou: 0.2323 d2.loss_cls: 0.2921 d2.loss_bbox: 0.1304 d2.loss_iou: 0.2204 d3.loss_cls: 0.2848 d3.loss_bbox: 0.1289 d3.loss_iou: 0.2195 d4.loss_cls: 0.2812 d4.loss_bbox: 0.1278 d4.loss_iou: 0.2176 enc_loss_cls: 0.3158 enc_loss_bbox: 0.1618 enc_loss_iou: 0.2650 dn_loss_cls: 0.0900 dn_loss_bbox: 0.1804 dn_loss_iou: 0.2306 d0.dn_loss_cls: 0.1805 d0.dn_loss_bbox: 0.3506 d0.dn_loss_iou: 0.3865 d1.dn_loss_cls: 0.1244 d1.dn_loss_bbox: 0.2157 d1.dn_loss_iou: 0.2655 d2.dn_loss_cls: 0.1063 d2.dn_loss_bbox: 0.1898 d2.dn_loss_iou: 0.2398 d3.dn_loss_cls: 0.0965 d3.dn_loss_bbox: 0.1818 d3.dn_loss_iou: 0.2323 d4.dn_loss_cls: 0.0901 d4.dn_loss_bbox: 0.1804 d4.dn_loss_iou: 0.2305 d1.loss_lmm_region: 0.1380 loss_lmm_image: 0.7979 +2024/11/08 01:53:50 - mmengine - INFO - Iter(train) [ 73300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:14:24 time: 1.0275 data_time: 0.0181 memory: 24611 grad_norm: 21.0784 loss: 10.0954 loss_cls: 0.3259 loss_bbox: 0.1590 loss_iou: 0.3034 d0.loss_cls: 0.3668 d0.loss_bbox: 0.1738 d0.loss_iou: 0.3246 d1.loss_cls: 0.3496 d1.loss_bbox: 0.1627 d1.loss_iou: 0.3104 d2.loss_cls: 0.3360 d2.loss_bbox: 0.1567 d2.loss_iou: 0.3036 d3.loss_cls: 0.3281 d3.loss_bbox: 0.1588 d3.loss_iou: 0.3050 d4.loss_cls: 0.3270 d4.loss_bbox: 0.1590 d4.loss_iou: 0.3048 enc_loss_cls: 0.3928 enc_loss_bbox: 0.1902 enc_loss_iou: 0.3469 dn_loss_cls: 0.0853 dn_loss_bbox: 0.1566 dn_loss_iou: 0.2253 d0.dn_loss_cls: 0.1819 d0.dn_loss_bbox: 0.3030 d0.dn_loss_iou: 0.3793 d1.dn_loss_cls: 0.1206 d1.dn_loss_bbox: 0.1919 d1.dn_loss_iou: 0.2624 d2.dn_loss_cls: 0.1001 d2.dn_loss_bbox: 0.1672 d2.dn_loss_iou: 0.2353 d3.dn_loss_cls: 0.0899 d3.dn_loss_bbox: 0.1582 d3.dn_loss_iou: 0.2271 d4.dn_loss_cls: 0.0860 d4.dn_loss_bbox: 0.1565 d4.dn_loss_iou: 0.2252 d1.loss_lmm_region: 0.1340 loss_lmm_image: 0.8246 +2024/11/08 01:55:33 - mmengine - INFO - Iter(train) [ 73400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:12:38 time: 1.0169 data_time: 0.0180 memory: 24049 grad_norm: 22.6260 loss: 9.4934 loss_cls: 0.2946 loss_bbox: 0.1419 loss_iou: 0.2745 d0.loss_cls: 0.3269 d0.loss_bbox: 0.1617 d0.loss_iou: 0.2925 d1.loss_cls: 0.3094 d1.loss_bbox: 0.1514 d1.loss_iou: 0.2822 d2.loss_cls: 0.3056 d2.loss_bbox: 0.1451 d2.loss_iou: 0.2783 d3.loss_cls: 0.2976 d3.loss_bbox: 0.1440 d3.loss_iou: 0.2761 d4.loss_cls: 0.2973 d4.loss_bbox: 0.1410 d4.loss_iou: 0.2742 enc_loss_cls: 0.3402 enc_loss_bbox: 0.1746 enc_loss_iou: 0.3145 dn_loss_cls: 0.0701 dn_loss_bbox: 0.1729 dn_loss_iou: 0.2288 d0.dn_loss_cls: 0.1586 d0.dn_loss_bbox: 0.3245 d0.dn_loss_iou: 0.3772 d1.dn_loss_cls: 0.1007 d1.dn_loss_bbox: 0.2071 d1.dn_loss_iou: 0.2632 d2.dn_loss_cls: 0.0861 d2.dn_loss_bbox: 0.1792 d2.dn_loss_iou: 0.2364 d3.dn_loss_cls: 0.0739 d3.dn_loss_bbox: 0.1741 d3.dn_loss_iou: 0.2300 d4.dn_loss_cls: 0.0709 d4.dn_loss_bbox: 0.1730 d4.dn_loss_iou: 0.2287 d1.loss_lmm_region: 0.1423 loss_lmm_image: 0.7723 +2024/11/08 01:57:17 - mmengine - INFO - Iter(train) [ 73500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:10:52 time: 1.0229 data_time: 0.0181 memory: 24015 grad_norm: 24.0078 loss: 8.0573 loss_cls: 0.2225 loss_bbox: 0.1142 loss_iou: 0.1921 d0.loss_cls: 0.2576 d0.loss_bbox: 0.1274 d0.loss_iou: 0.2114 d1.loss_cls: 0.2379 d1.loss_bbox: 0.1231 d1.loss_iou: 0.2038 d2.loss_cls: 0.2333 d2.loss_bbox: 0.1151 d2.loss_iou: 0.1956 d3.loss_cls: 0.2290 d3.loss_bbox: 0.1138 d3.loss_iou: 0.1902 d4.loss_cls: 0.2232 d4.loss_bbox: 0.1158 d4.loss_iou: 0.1928 enc_loss_cls: 0.2697 enc_loss_bbox: 0.1459 enc_loss_iou: 0.2372 dn_loss_cls: 0.0698 dn_loss_bbox: 0.1700 dn_loss_iou: 0.1949 d0.dn_loss_cls: 0.1624 d0.dn_loss_bbox: 0.3349 d0.dn_loss_iou: 0.3419 d1.dn_loss_cls: 0.1049 d1.dn_loss_bbox: 0.2073 d1.dn_loss_iou: 0.2292 d2.dn_loss_cls: 0.0878 d2.dn_loss_bbox: 0.1810 d2.dn_loss_iou: 0.2044 d3.dn_loss_cls: 0.0773 d3.dn_loss_bbox: 0.1724 d3.dn_loss_iou: 0.1966 d4.dn_loss_cls: 0.0707 d4.dn_loss_bbox: 0.1699 d4.dn_loss_iou: 0.1948 d1.loss_lmm_region: 0.1189 loss_lmm_image: 0.8168 +2024/11/08 01:58:59 - mmengine - INFO - Iter(train) [ 73600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:09:06 time: 1.0277 data_time: 0.0179 memory: 23941 grad_norm: 20.8476 loss: 8.7586 loss_cls: 0.2442 loss_bbox: 0.1365 loss_iou: 0.2285 d0.loss_cls: 0.2640 d0.loss_bbox: 0.1536 d0.loss_iou: 0.2534 d1.loss_cls: 0.2567 d1.loss_bbox: 0.1460 d1.loss_iou: 0.2388 d2.loss_cls: 0.2504 d2.loss_bbox: 0.1393 d2.loss_iou: 0.2338 d3.loss_cls: 0.2459 d3.loss_bbox: 0.1389 d3.loss_iou: 0.2324 d4.loss_cls: 0.2415 d4.loss_bbox: 0.1396 d4.loss_iou: 0.2318 enc_loss_cls: 0.2925 enc_loss_bbox: 0.1607 enc_loss_iou: 0.2697 dn_loss_cls: 0.0594 dn_loss_bbox: 0.1788 dn_loss_iou: 0.2237 d0.dn_loss_cls: 0.1453 d0.dn_loss_bbox: 0.3543 d0.dn_loss_iou: 0.3828 d1.dn_loss_cls: 0.0916 d1.dn_loss_bbox: 0.2202 d1.dn_loss_iou: 0.2588 d2.dn_loss_cls: 0.0727 d2.dn_loss_bbox: 0.1899 d2.dn_loss_iou: 0.2333 d3.dn_loss_cls: 0.0627 d3.dn_loss_bbox: 0.1801 d3.dn_loss_iou: 0.2253 d4.dn_loss_cls: 0.0597 d4.dn_loss_bbox: 0.1788 d4.dn_loss_iou: 0.2238 d1.loss_lmm_region: 0.1281 loss_lmm_image: 0.7912 +2024/11/08 02:00:42 - mmengine - INFO - Iter(train) [ 73700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:07:20 time: 1.0242 data_time: 0.0181 memory: 23025 grad_norm: 21.9233 loss: 9.6231 loss_cls: 0.2870 loss_bbox: 0.1480 loss_iou: 0.2520 d0.loss_cls: 0.3255 d0.loss_bbox: 0.1611 d0.loss_iou: 0.2688 d1.loss_cls: 0.3079 d1.loss_bbox: 0.1455 d1.loss_iou: 0.2546 d2.loss_cls: 0.2980 d2.loss_bbox: 0.1457 d2.loss_iou: 0.2507 d3.loss_cls: 0.2959 d3.loss_bbox: 0.1427 d3.loss_iou: 0.2508 d4.loss_cls: 0.2872 d4.loss_bbox: 0.1473 d4.loss_iou: 0.2509 enc_loss_cls: 0.3430 enc_loss_bbox: 0.1707 enc_loss_iou: 0.2845 dn_loss_cls: 0.0859 dn_loss_bbox: 0.1937 dn_loss_iou: 0.2347 d0.dn_loss_cls: 0.1727 d0.dn_loss_bbox: 0.3647 d0.dn_loss_iou: 0.3912 d1.dn_loss_cls: 0.1212 d1.dn_loss_bbox: 0.2300 d1.dn_loss_iou: 0.2703 d2.dn_loss_cls: 0.1040 d2.dn_loss_bbox: 0.2054 d2.dn_loss_iou: 0.2435 d3.dn_loss_cls: 0.0935 d3.dn_loss_bbox: 0.1968 d3.dn_loss_iou: 0.2367 d4.dn_loss_cls: 0.0875 d4.dn_loss_bbox: 0.1938 d4.dn_loss_iou: 0.2346 d1.loss_lmm_region: 0.1249 loss_lmm_image: 0.8205 +2024/11/08 02:02:24 - mmengine - INFO - Iter(train) [ 73800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:05:33 time: 1.0134 data_time: 0.0181 memory: 24152 grad_norm: 27.7729 loss: 9.3867 loss_cls: 0.2777 loss_bbox: 0.1496 loss_iou: 0.2851 d0.loss_cls: 0.3159 d0.loss_bbox: 0.1617 d0.loss_iou: 0.3086 d1.loss_cls: 0.3005 d1.loss_bbox: 0.1516 d1.loss_iou: 0.2911 d2.loss_cls: 0.2896 d2.loss_bbox: 0.1495 d2.loss_iou: 0.2867 d3.loss_cls: 0.2854 d3.loss_bbox: 0.1482 d3.loss_iou: 0.2835 d4.loss_cls: 0.2772 d4.loss_bbox: 0.1503 d4.loss_iou: 0.2862 enc_loss_cls: 0.3365 enc_loss_bbox: 0.1744 enc_loss_iou: 0.3292 dn_loss_cls: 0.0671 dn_loss_bbox: 0.1645 dn_loss_iou: 0.2195 d0.dn_loss_cls: 0.1492 d0.dn_loss_bbox: 0.3180 d0.dn_loss_iou: 0.3708 d1.dn_loss_cls: 0.0980 d1.dn_loss_bbox: 0.2070 d1.dn_loss_iou: 0.2556 d2.dn_loss_cls: 0.0824 d2.dn_loss_bbox: 0.1756 d2.dn_loss_iou: 0.2286 d3.dn_loss_cls: 0.0739 d3.dn_loss_bbox: 0.1671 d3.dn_loss_iou: 0.2209 d4.dn_loss_cls: 0.0684 d4.dn_loss_bbox: 0.1646 d4.dn_loss_iou: 0.2195 d1.loss_lmm_region: 0.1153 loss_lmm_image: 0.7818 +2024/11/08 02:04:06 - mmengine - INFO - Iter(train) [ 73900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:03:46 time: 1.0123 data_time: 0.0180 memory: 23926 grad_norm: 26.3713 loss: 8.6530 loss_cls: 0.2542 loss_bbox: 0.1416 loss_iou: 0.2322 d0.loss_cls: 0.2865 d0.loss_bbox: 0.1533 d0.loss_iou: 0.2428 d1.loss_cls: 0.2700 d1.loss_bbox: 0.1426 d1.loss_iou: 0.2354 d2.loss_cls: 0.2613 d2.loss_bbox: 0.1406 d2.loss_iou: 0.2345 d3.loss_cls: 0.2555 d3.loss_bbox: 0.1419 d3.loss_iou: 0.2346 d4.loss_cls: 0.2521 d4.loss_bbox: 0.1432 d4.loss_iou: 0.2348 enc_loss_cls: 0.3106 enc_loss_bbox: 0.1639 enc_loss_iou: 0.2629 dn_loss_cls: 0.0712 dn_loss_bbox: 0.1603 dn_loss_iou: 0.2067 d0.dn_loss_cls: 0.1508 d0.dn_loss_bbox: 0.3325 d0.dn_loss_iou: 0.3603 d1.dn_loss_cls: 0.0968 d1.dn_loss_bbox: 0.1946 d1.dn_loss_iou: 0.2395 d2.dn_loss_cls: 0.0826 d2.dn_loss_bbox: 0.1689 d2.dn_loss_iou: 0.2147 d3.dn_loss_cls: 0.0734 d3.dn_loss_bbox: 0.1607 d3.dn_loss_iou: 0.2074 d4.dn_loss_cls: 0.0717 d4.dn_loss_bbox: 0.1603 d4.dn_loss_iou: 0.2066 d1.loss_lmm_region: 0.1246 loss_lmm_image: 0.7749 +2024/11/08 02:05:48 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/08 02:05:48 - mmengine - INFO - Iter(train) [ 74000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:02:00 time: 1.0169 data_time: 0.0182 memory: 24098 grad_norm: 22.7021 loss: 10.2306 loss_cls: 0.3378 loss_bbox: 0.1477 loss_iou: 0.2769 d0.loss_cls: 0.3810 d0.loss_bbox: 0.1645 d0.loss_iou: 0.2944 d1.loss_cls: 0.3627 d1.loss_bbox: 0.1526 d1.loss_iou: 0.2807 d2.loss_cls: 0.3448 d2.loss_bbox: 0.1505 d2.loss_iou: 0.2803 d3.loss_cls: 0.3400 d3.loss_bbox: 0.1490 d3.loss_iou: 0.2786 d4.loss_cls: 0.3388 d4.loss_bbox: 0.1475 d4.loss_iou: 0.2770 enc_loss_cls: 0.3922 enc_loss_bbox: 0.1750 enc_loss_iou: 0.3165 dn_loss_cls: 0.1300 dn_loss_bbox: 0.1700 dn_loss_iou: 0.2224 d0.dn_loss_cls: 0.2222 d0.dn_loss_bbox: 0.3065 d0.dn_loss_iou: 0.3704 d1.dn_loss_cls: 0.1632 d1.dn_loss_bbox: 0.2043 d1.dn_loss_iou: 0.2589 d2.dn_loss_cls: 0.1471 d2.dn_loss_bbox: 0.1800 d2.dn_loss_iou: 0.2331 d3.dn_loss_cls: 0.1350 d3.dn_loss_bbox: 0.1724 d3.dn_loss_iou: 0.2248 d4.dn_loss_cls: 0.1286 d4.dn_loss_bbox: 0.1700 d4.dn_loss_iou: 0.2225 d1.loss_lmm_region: 0.1609 loss_lmm_image: 0.8197 +2024/11/08 02:07:31 - mmengine - INFO - Iter(train) [ 74100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:00:14 time: 1.0147 data_time: 0.0180 memory: 23730 grad_norm: 20.2761 loss: 11.0169 loss_cls: 0.3694 loss_bbox: 0.1669 loss_iou: 0.3288 d0.loss_cls: 0.4057 d0.loss_bbox: 0.1825 d0.loss_iou: 0.3510 d1.loss_cls: 0.3889 d1.loss_bbox: 0.1677 d1.loss_iou: 0.3337 d2.loss_cls: 0.3785 d2.loss_bbox: 0.1655 d2.loss_iou: 0.3306 d3.loss_cls: 0.3729 d3.loss_bbox: 0.1678 d3.loss_iou: 0.3300 d4.loss_cls: 0.3693 d4.loss_bbox: 0.1663 d4.loss_iou: 0.3276 enc_loss_cls: 0.4221 enc_loss_bbox: 0.1969 enc_loss_iou: 0.3730 dn_loss_cls: 0.0987 dn_loss_bbox: 0.1863 dn_loss_iou: 0.2521 d0.dn_loss_cls: 0.1918 d0.dn_loss_bbox: 0.3467 d0.dn_loss_iou: 0.4193 d1.dn_loss_cls: 0.1348 d1.dn_loss_bbox: 0.2246 d1.dn_loss_iou: 0.2941 d2.dn_loss_cls: 0.1172 d2.dn_loss_bbox: 0.1974 d2.dn_loss_iou: 0.2634 d3.dn_loss_cls: 0.1056 d3.dn_loss_bbox: 0.1890 d3.dn_loss_iou: 0.2537 d4.dn_loss_cls: 0.0994 d4.dn_loss_bbox: 0.1863 d4.dn_loss_iou: 0.2521 d1.loss_lmm_region: 0.1309 loss_lmm_image: 0.7783 +2024/11/08 02:09:14 - mmengine - INFO - Iter(train) [ 74200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:58:28 time: 1.0277 data_time: 0.0182 memory: 23346 grad_norm: 27.1851 loss: 10.0641 loss_cls: 0.3059 loss_bbox: 0.1427 loss_iou: 0.2800 d0.loss_cls: 0.3467 d0.loss_bbox: 0.1623 d0.loss_iou: 0.3025 d1.loss_cls: 0.3254 d1.loss_bbox: 0.1504 d1.loss_iou: 0.2859 d2.loss_cls: 0.3136 d2.loss_bbox: 0.1462 d2.loss_iou: 0.2833 d3.loss_cls: 0.3114 d3.loss_bbox: 0.1428 d3.loss_iou: 0.2797 d4.loss_cls: 0.3078 d4.loss_bbox: 0.1427 d4.loss_iou: 0.2774 enc_loss_cls: 0.3697 enc_loss_bbox: 0.1739 enc_loss_iou: 0.3214 dn_loss_cls: 0.1267 dn_loss_bbox: 0.1661 dn_loss_iou: 0.2375 d0.dn_loss_cls: 0.2035 d0.dn_loss_bbox: 0.3316 d0.dn_loss_iou: 0.3994 d1.dn_loss_cls: 0.1513 d1.dn_loss_bbox: 0.2078 d1.dn_loss_iou: 0.2770 d2.dn_loss_cls: 0.1371 d2.dn_loss_bbox: 0.1767 d2.dn_loss_iou: 0.2493 d3.dn_loss_cls: 0.1304 d3.dn_loss_bbox: 0.1683 d3.dn_loss_iou: 0.2394 d4.dn_loss_cls: 0.1272 d4.dn_loss_bbox: 0.1662 d4.dn_loss_iou: 0.2374 d1.loss_lmm_region: 0.1224 loss_lmm_image: 0.8372 +2024/11/08 02:10:57 - mmengine - INFO - Iter(train) [ 74300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:56:42 time: 1.0323 data_time: 0.0180 memory: 23487 grad_norm: 20.8207 loss: 9.9095 loss_cls: 0.3007 loss_bbox: 0.1479 loss_iou: 0.3129 d0.loss_cls: 0.3380 d0.loss_bbox: 0.1544 d0.loss_iou: 0.3238 d1.loss_cls: 0.3185 d1.loss_bbox: 0.1516 d1.loss_iou: 0.3202 d2.loss_cls: 0.3102 d2.loss_bbox: 0.1470 d2.loss_iou: 0.3140 d3.loss_cls: 0.3088 d3.loss_bbox: 0.1456 d3.loss_iou: 0.3118 d4.loss_cls: 0.3028 d4.loss_bbox: 0.1470 d4.loss_iou: 0.3137 enc_loss_cls: 0.3571 enc_loss_bbox: 0.1680 enc_loss_iou: 0.3481 dn_loss_cls: 0.0851 dn_loss_bbox: 0.1627 dn_loss_iou: 0.2399 d0.dn_loss_cls: 0.1623 d0.dn_loss_bbox: 0.3164 d0.dn_loss_iou: 0.3827 d1.dn_loss_cls: 0.1095 d1.dn_loss_bbox: 0.1945 d1.dn_loss_iou: 0.2714 d2.dn_loss_cls: 0.0981 d2.dn_loss_bbox: 0.1719 d2.dn_loss_iou: 0.2479 d3.dn_loss_cls: 0.0902 d3.dn_loss_bbox: 0.1642 d3.dn_loss_iou: 0.2415 d4.dn_loss_cls: 0.0858 d4.dn_loss_bbox: 0.1628 d4.dn_loss_iou: 0.2401 d1.loss_lmm_region: 0.1366 loss_lmm_image: 0.8039 +2024/11/08 02:12:39 - mmengine - INFO - Iter(train) [ 74400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:54:56 time: 1.0274 data_time: 0.0180 memory: 23876 grad_norm: 21.3985 loss: 10.0516 loss_cls: 0.3351 loss_bbox: 0.1428 loss_iou: 0.2656 d0.loss_cls: 0.3643 d0.loss_bbox: 0.1575 d0.loss_iou: 0.2829 d1.loss_cls: 0.3490 d1.loss_bbox: 0.1476 d1.loss_iou: 0.2728 d2.loss_cls: 0.3404 d2.loss_bbox: 0.1449 d2.loss_iou: 0.2681 d3.loss_cls: 0.3383 d3.loss_bbox: 0.1414 d3.loss_iou: 0.2643 d4.loss_cls: 0.3358 d4.loss_bbox: 0.1428 d4.loss_iou: 0.2651 enc_loss_cls: 0.3897 enc_loss_bbox: 0.1750 enc_loss_iou: 0.3080 dn_loss_cls: 0.0934 dn_loss_bbox: 0.1957 dn_loss_iou: 0.2354 d0.dn_loss_cls: 0.1743 d0.dn_loss_bbox: 0.3800 d0.dn_loss_iou: 0.3908 d1.dn_loss_cls: 0.1219 d1.dn_loss_bbox: 0.2319 d1.dn_loss_iou: 0.2694 d2.dn_loss_cls: 0.1065 d2.dn_loss_bbox: 0.2052 d2.dn_loss_iou: 0.2443 d3.dn_loss_cls: 0.0974 d3.dn_loss_bbox: 0.1983 d3.dn_loss_iou: 0.2371 d4.dn_loss_cls: 0.0936 d4.dn_loss_bbox: 0.1957 d4.dn_loss_iou: 0.2355 d1.loss_lmm_region: 0.1384 loss_lmm_image: 0.7755 +2024/11/08 02:14:22 - mmengine - INFO - Iter(train) [ 74500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:53:10 time: 1.0226 data_time: 0.0180 memory: 23558 grad_norm: 26.1226 loss: 10.0317 loss_cls: 0.3031 loss_bbox: 0.1687 loss_iou: 0.2913 d0.loss_cls: 0.3433 d0.loss_bbox: 0.1837 d0.loss_iou: 0.3075 d1.loss_cls: 0.3267 d1.loss_bbox: 0.1725 d1.loss_iou: 0.2914 d2.loss_cls: 0.3130 d2.loss_bbox: 0.1677 d2.loss_iou: 0.2897 d3.loss_cls: 0.3060 d3.loss_bbox: 0.1689 d3.loss_iou: 0.2902 d4.loss_cls: 0.3027 d4.loss_bbox: 0.1697 d4.loss_iou: 0.2920 enc_loss_cls: 0.3663 enc_loss_bbox: 0.1979 enc_loss_iou: 0.3271 dn_loss_cls: 0.0839 dn_loss_bbox: 0.1769 dn_loss_iou: 0.2359 d0.dn_loss_cls: 0.1780 d0.dn_loss_bbox: 0.3557 d0.dn_loss_iou: 0.3941 d1.dn_loss_cls: 0.1180 d1.dn_loss_bbox: 0.2167 d1.dn_loss_iou: 0.2698 d2.dn_loss_cls: 0.0997 d2.dn_loss_bbox: 0.1883 d2.dn_loss_iou: 0.2451 d3.dn_loss_cls: 0.0886 d3.dn_loss_bbox: 0.1785 d3.dn_loss_iou: 0.2373 d4.dn_loss_cls: 0.0850 d4.dn_loss_bbox: 0.1770 d4.dn_loss_iou: 0.2361 d1.loss_lmm_region: 0.1515 loss_lmm_image: 0.7361 +2024/11/08 02:16:04 - mmengine - INFO - Iter(train) [ 74600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:51:23 time: 1.0140 data_time: 0.0182 memory: 23951 grad_norm: 20.6404 loss: 9.0460 loss_cls: 0.2804 loss_bbox: 0.1362 loss_iou: 0.2299 d0.loss_cls: 0.3197 d0.loss_bbox: 0.1434 d0.loss_iou: 0.2479 d1.loss_cls: 0.2981 d1.loss_bbox: 0.1402 d1.loss_iou: 0.2381 d2.loss_cls: 0.2901 d2.loss_bbox: 0.1383 d2.loss_iou: 0.2355 d3.loss_cls: 0.2846 d3.loss_bbox: 0.1357 d3.loss_iou: 0.2356 d4.loss_cls: 0.2825 d4.loss_bbox: 0.1350 d4.loss_iou: 0.2300 enc_loss_cls: 0.3344 enc_loss_bbox: 0.1529 enc_loss_iou: 0.2686 dn_loss_cls: 0.1066 dn_loss_bbox: 0.1595 dn_loss_iou: 0.2103 d0.dn_loss_cls: 0.1902 d0.dn_loss_bbox: 0.3068 d0.dn_loss_iou: 0.3522 d1.dn_loss_cls: 0.1340 d1.dn_loss_bbox: 0.1927 d1.dn_loss_iou: 0.2402 d2.dn_loss_cls: 0.1202 d2.dn_loss_bbox: 0.1660 d2.dn_loss_iou: 0.2178 d3.dn_loss_cls: 0.1151 d3.dn_loss_bbox: 0.1596 d3.dn_loss_iou: 0.2110 d4.dn_loss_cls: 0.1082 d4.dn_loss_bbox: 0.1595 d4.dn_loss_iou: 0.2105 d1.loss_lmm_region: 0.1512 loss_lmm_image: 0.7773 +2024/11/08 02:17:46 - mmengine - INFO - Iter(train) [ 74700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:49:37 time: 1.0272 data_time: 0.0182 memory: 23401 grad_norm: 20.6785 loss: 10.0509 loss_cls: 0.3031 loss_bbox: 0.1538 loss_iou: 0.2922 d0.loss_cls: 0.3426 d0.loss_bbox: 0.1657 d0.loss_iou: 0.3079 d1.loss_cls: 0.3181 d1.loss_bbox: 0.1588 d1.loss_iou: 0.2961 d2.loss_cls: 0.3092 d2.loss_bbox: 0.1568 d2.loss_iou: 0.2947 d3.loss_cls: 0.3072 d3.loss_bbox: 0.1534 d3.loss_iou: 0.2908 d4.loss_cls: 0.3044 d4.loss_bbox: 0.1532 d4.loss_iou: 0.2925 enc_loss_cls: 0.3585 enc_loss_bbox: 0.1822 enc_loss_iou: 0.3292 dn_loss_cls: 0.0939 dn_loss_bbox: 0.1833 dn_loss_iou: 0.2413 d0.dn_loss_cls: 0.1836 d0.dn_loss_bbox: 0.3377 d0.dn_loss_iou: 0.3917 d1.dn_loss_cls: 0.1252 d1.dn_loss_bbox: 0.2174 d1.dn_loss_iou: 0.2743 d2.dn_loss_cls: 0.1092 d2.dn_loss_bbox: 0.1917 d2.dn_loss_iou: 0.2504 d3.dn_loss_cls: 0.0985 d3.dn_loss_bbox: 0.1845 d3.dn_loss_iou: 0.2428 d4.dn_loss_cls: 0.0932 d4.dn_loss_bbox: 0.1832 d4.dn_loss_iou: 0.2413 d1.loss_lmm_region: 0.1351 loss_lmm_image: 0.8023 +2024/11/08 02:19:28 - mmengine - INFO - Iter(train) [ 74800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:47:50 time: 1.0146 data_time: 0.0180 memory: 23160 grad_norm: 21.8567 loss: 9.2682 loss_cls: 0.2981 loss_bbox: 0.1462 loss_iou: 0.2510 d0.loss_cls: 0.3348 d0.loss_bbox: 0.1556 d0.loss_iou: 0.2662 d1.loss_cls: 0.3165 d1.loss_bbox: 0.1527 d1.loss_iou: 0.2572 d2.loss_cls: 0.3082 d2.loss_bbox: 0.1482 d2.loss_iou: 0.2533 d3.loss_cls: 0.3048 d3.loss_bbox: 0.1457 d3.loss_iou: 0.2523 d4.loss_cls: 0.2977 d4.loss_bbox: 0.1487 d4.loss_iou: 0.2512 enc_loss_cls: 0.3529 enc_loss_bbox: 0.1744 enc_loss_iou: 0.2936 dn_loss_cls: 0.0850 dn_loss_bbox: 0.1699 dn_loss_iou: 0.2099 d0.dn_loss_cls: 0.1601 d0.dn_loss_bbox: 0.3050 d0.dn_loss_iou: 0.3454 d1.dn_loss_cls: 0.1102 d1.dn_loss_bbox: 0.1948 d1.dn_loss_iou: 0.2382 d2.dn_loss_cls: 0.0967 d2.dn_loss_bbox: 0.1768 d2.dn_loss_iou: 0.2177 d3.dn_loss_cls: 0.0873 d3.dn_loss_bbox: 0.1705 d3.dn_loss_iou: 0.2108 d4.dn_loss_cls: 0.0862 d4.dn_loss_bbox: 0.1698 d4.dn_loss_iou: 0.2098 d1.loss_lmm_region: 0.1437 loss_lmm_image: 0.7709 +2024/11/08 02:21:11 - mmengine - INFO - Iter(train) [ 74900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:46:04 time: 1.0208 data_time: 0.0181 memory: 22945 grad_norm: 23.2424 loss: 9.8973 loss_cls: 0.2921 loss_bbox: 0.1538 loss_iou: 0.2775 d0.loss_cls: 0.3328 d0.loss_bbox: 0.1768 d0.loss_iou: 0.2922 d1.loss_cls: 0.3165 d1.loss_bbox: 0.1594 d1.loss_iou: 0.2800 d2.loss_cls: 0.3025 d2.loss_bbox: 0.1583 d2.loss_iou: 0.2829 d3.loss_cls: 0.2997 d3.loss_bbox: 0.1532 d3.loss_iou: 0.2776 d4.loss_cls: 0.2923 d4.loss_bbox: 0.1537 d4.loss_iou: 0.2799 enc_loss_cls: 0.3543 enc_loss_bbox: 0.1908 enc_loss_iou: 0.3147 dn_loss_cls: 0.0905 dn_loss_bbox: 0.1887 dn_loss_iou: 0.2369 d0.dn_loss_cls: 0.1728 d0.dn_loss_bbox: 0.3453 d0.dn_loss_iou: 0.3871 d1.dn_loss_cls: 0.1189 d1.dn_loss_bbox: 0.2211 d1.dn_loss_iou: 0.2685 d2.dn_loss_cls: 0.1040 d2.dn_loss_bbox: 0.1964 d2.dn_loss_iou: 0.2460 d3.dn_loss_cls: 0.0951 d3.dn_loss_bbox: 0.1896 d3.dn_loss_iou: 0.2382 d4.dn_loss_cls: 0.0916 d4.dn_loss_bbox: 0.1887 d4.dn_loss_iou: 0.2370 d1.loss_lmm_region: 0.1404 loss_lmm_image: 0.7994 +2024/11/08 02:22:53 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/08 02:22:53 - mmengine - INFO - Iter(train) [ 75000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:44:17 time: 1.0257 data_time: 0.0180 memory: 23880 grad_norm: 21.5910 loss: 8.8014 loss_cls: 0.2506 loss_bbox: 0.1308 loss_iou: 0.2417 d0.loss_cls: 0.2806 d0.loss_bbox: 0.1434 d0.loss_iou: 0.2600 d1.loss_cls: 0.2696 d1.loss_bbox: 0.1334 d1.loss_iou: 0.2462 d2.loss_cls: 0.2633 d2.loss_bbox: 0.1270 d2.loss_iou: 0.2413 d3.loss_cls: 0.2528 d3.loss_bbox: 0.1295 d3.loss_iou: 0.2402 d4.loss_cls: 0.2494 d4.loss_bbox: 0.1312 d4.loss_iou: 0.2419 enc_loss_cls: 0.2977 enc_loss_bbox: 0.1572 enc_loss_iou: 0.2798 dn_loss_cls: 0.0896 dn_loss_bbox: 0.1609 dn_loss_iou: 0.2134 d0.dn_loss_cls: 0.1651 d0.dn_loss_bbox: 0.3196 d0.dn_loss_iou: 0.3718 d1.dn_loss_cls: 0.1135 d1.dn_loss_bbox: 0.1942 d1.dn_loss_iou: 0.2489 d2.dn_loss_cls: 0.1009 d2.dn_loss_bbox: 0.1698 d2.dn_loss_iou: 0.2225 d3.dn_loss_cls: 0.0940 d3.dn_loss_bbox: 0.1621 d3.dn_loss_iou: 0.2150 d4.dn_loss_cls: 0.0903 d4.dn_loss_bbox: 0.1610 d4.dn_loss_iou: 0.2134 d1.loss_lmm_region: 0.1245 loss_lmm_image: 0.8035 +2024/11/08 02:24:35 - mmengine - INFO - Iter(train) [ 75100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:42:31 time: 1.0182 data_time: 0.0181 memory: 23695 grad_norm: 20.5478 loss: 8.8766 loss_cls: 0.2718 loss_bbox: 0.1289 loss_iou: 0.2472 d0.loss_cls: 0.3022 d0.loss_bbox: 0.1423 d0.loss_iou: 0.2662 d1.loss_cls: 0.2857 d1.loss_bbox: 0.1346 d1.loss_iou: 0.2533 d2.loss_cls: 0.2792 d2.loss_bbox: 0.1296 d2.loss_iou: 0.2486 d3.loss_cls: 0.2775 d3.loss_bbox: 0.1266 d3.loss_iou: 0.2447 d4.loss_cls: 0.2744 d4.loss_bbox: 0.1275 d4.loss_iou: 0.2460 enc_loss_cls: 0.3192 enc_loss_bbox: 0.1527 enc_loss_iou: 0.2860 dn_loss_cls: 0.1029 dn_loss_bbox: 0.1507 dn_loss_iou: 0.2084 d0.dn_loss_cls: 0.1785 d0.dn_loss_bbox: 0.2758 d0.dn_loss_iou: 0.3503 d1.dn_loss_cls: 0.1294 d1.dn_loss_bbox: 0.1771 d1.dn_loss_iou: 0.2391 d2.dn_loss_cls: 0.1151 d2.dn_loss_bbox: 0.1563 d2.dn_loss_iou: 0.2163 d3.dn_loss_cls: 0.1069 d3.dn_loss_bbox: 0.1507 d3.dn_loss_iou: 0.2092 d4.dn_loss_cls: 0.1039 d4.dn_loss_bbox: 0.1507 d4.dn_loss_iou: 0.2084 d1.loss_lmm_region: 0.1301 loss_lmm_image: 0.7726 +2024/11/08 02:26:18 - mmengine - INFO - Iter(train) [ 75200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:40:44 time: 1.0284 data_time: 0.0181 memory: 23999 grad_norm: 21.6403 loss: 8.8239 loss_cls: 0.2615 loss_bbox: 0.1230 loss_iou: 0.2065 d0.loss_cls: 0.2853 d0.loss_bbox: 0.1429 d0.loss_iou: 0.2279 d1.loss_cls: 0.2745 d1.loss_bbox: 0.1303 d1.loss_iou: 0.2161 d2.loss_cls: 0.2674 d2.loss_bbox: 0.1255 d2.loss_iou: 0.2097 d3.loss_cls: 0.2637 d3.loss_bbox: 0.1227 d3.loss_iou: 0.2065 d4.loss_cls: 0.2611 d4.loss_bbox: 0.1226 d4.loss_iou: 0.2064 enc_loss_cls: 0.3033 enc_loss_bbox: 0.1539 enc_loss_iou: 0.2429 dn_loss_cls: 0.0910 dn_loss_bbox: 0.1870 dn_loss_iou: 0.2139 d0.dn_loss_cls: 0.1846 d0.dn_loss_bbox: 0.3580 d0.dn_loss_iou: 0.3778 d1.dn_loss_cls: 0.1239 d1.dn_loss_bbox: 0.2256 d1.dn_loss_iou: 0.2517 d2.dn_loss_cls: 0.1047 d2.dn_loss_bbox: 0.1951 d2.dn_loss_iou: 0.2226 d3.dn_loss_cls: 0.0969 d3.dn_loss_bbox: 0.1896 d3.dn_loss_iou: 0.2159 d4.dn_loss_cls: 0.0934 d4.dn_loss_bbox: 0.1871 d4.dn_loss_iou: 0.2140 d1.loss_lmm_region: 0.1491 loss_lmm_image: 0.7886 +2024/11/08 02:28:00 - mmengine - INFO - Iter(train) [ 75300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:38:58 time: 1.0237 data_time: 0.0180 memory: 23184 grad_norm: 22.8702 loss: 9.6724 loss_cls: 0.2685 loss_bbox: 0.1488 loss_iou: 0.2643 d0.loss_cls: 0.2982 d0.loss_bbox: 0.1636 d0.loss_iou: 0.2858 d1.loss_cls: 0.2843 d1.loss_bbox: 0.1517 d1.loss_iou: 0.2694 d2.loss_cls: 0.2819 d2.loss_bbox: 0.1477 d2.loss_iou: 0.2646 d3.loss_cls: 0.2755 d3.loss_bbox: 0.1476 d3.loss_iou: 0.2644 d4.loss_cls: 0.2714 d4.loss_bbox: 0.1479 d4.loss_iou: 0.2630 enc_loss_cls: 0.3196 enc_loss_bbox: 0.1691 enc_loss_iou: 0.2985 dn_loss_cls: 0.0935 dn_loss_bbox: 0.1983 dn_loss_iou: 0.2436 d0.dn_loss_cls: 0.1865 d0.dn_loss_bbox: 0.3546 d0.dn_loss_iou: 0.4009 d1.dn_loss_cls: 0.1284 d1.dn_loss_bbox: 0.2303 d1.dn_loss_iou: 0.2769 d2.dn_loss_cls: 0.1128 d2.dn_loss_bbox: 0.2073 d2.dn_loss_iou: 0.2526 d3.dn_loss_cls: 0.1013 d3.dn_loss_bbox: 0.1987 d3.dn_loss_iou: 0.2450 d4.dn_loss_cls: 0.0948 d4.dn_loss_bbox: 0.1984 d4.dn_loss_iou: 0.2436 d1.loss_lmm_region: 0.1337 loss_lmm_image: 0.7855 +2024/11/08 02:29:43 - mmengine - INFO - Iter(train) [ 75400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:37:12 time: 1.0289 data_time: 0.0181 memory: 24123 grad_norm: 21.8549 loss: 9.4035 loss_cls: 0.3027 loss_bbox: 0.1381 loss_iou: 0.2470 d0.loss_cls: 0.3461 d0.loss_bbox: 0.1506 d0.loss_iou: 0.2672 d1.loss_cls: 0.3233 d1.loss_bbox: 0.1439 d1.loss_iou: 0.2570 d2.loss_cls: 0.3162 d2.loss_bbox: 0.1378 d2.loss_iou: 0.2493 d3.loss_cls: 0.3096 d3.loss_bbox: 0.1372 d3.loss_iou: 0.2503 d4.loss_cls: 0.3027 d4.loss_bbox: 0.1386 d4.loss_iou: 0.2472 enc_loss_cls: 0.3683 enc_loss_bbox: 0.1633 enc_loss_iou: 0.2862 dn_loss_cls: 0.0987 dn_loss_bbox: 0.1595 dn_loss_iou: 0.2169 d0.dn_loss_cls: 0.1813 d0.dn_loss_bbox: 0.3248 d0.dn_loss_iou: 0.3722 d1.dn_loss_cls: 0.1270 d1.dn_loss_bbox: 0.1979 d1.dn_loss_iou: 0.2544 d2.dn_loss_cls: 0.1130 d2.dn_loss_bbox: 0.1719 d2.dn_loss_iou: 0.2272 d3.dn_loss_cls: 0.1025 d3.dn_loss_bbox: 0.1611 d3.dn_loss_iou: 0.2184 d4.dn_loss_cls: 0.0985 d4.dn_loss_bbox: 0.1596 d4.dn_loss_iou: 0.2170 d1.loss_lmm_region: 0.1456 loss_lmm_image: 0.7735 +2024/11/08 02:31:25 - mmengine - INFO - Iter(train) [ 75500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:35:26 time: 1.0204 data_time: 0.0180 memory: 24653 grad_norm: 26.8715 loss: 10.5268 loss_cls: 0.3313 loss_bbox: 0.1716 loss_iou: 0.3096 d0.loss_cls: 0.3644 d0.loss_bbox: 0.1820 d0.loss_iou: 0.3252 d1.loss_cls: 0.3499 d1.loss_bbox: 0.1717 d1.loss_iou: 0.3131 d2.loss_cls: 0.3438 d2.loss_bbox: 0.1697 d2.loss_iou: 0.3075 d3.loss_cls: 0.3371 d3.loss_bbox: 0.1722 d3.loss_iou: 0.3099 d4.loss_cls: 0.3300 d4.loss_bbox: 0.1725 d4.loss_iou: 0.3107 enc_loss_cls: 0.3814 enc_loss_bbox: 0.1988 enc_loss_iou: 0.3439 dn_loss_cls: 0.0954 dn_loss_bbox: 0.1859 dn_loss_iou: 0.2472 d0.dn_loss_cls: 0.1828 d0.dn_loss_bbox: 0.3455 d0.dn_loss_iou: 0.3982 d1.dn_loss_cls: 0.1311 d1.dn_loss_bbox: 0.2228 d1.dn_loss_iou: 0.2822 d2.dn_loss_cls: 0.1119 d2.dn_loss_bbox: 0.1962 d2.dn_loss_iou: 0.2557 d3.dn_loss_cls: 0.1018 d3.dn_loss_bbox: 0.1876 d3.dn_loss_iou: 0.2485 d4.dn_loss_cls: 0.0958 d4.dn_loss_bbox: 0.1857 d4.dn_loss_iou: 0.2471 d1.loss_lmm_region: 0.1397 loss_lmm_image: 0.7699 +2024/11/08 02:33:08 - mmengine - INFO - Iter(train) [ 75600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:33:40 time: 1.0193 data_time: 0.0182 memory: 24036 grad_norm: 20.6763 loss: 9.4614 loss_cls: 0.2739 loss_bbox: 0.1333 loss_iou: 0.2587 d0.loss_cls: 0.3090 d0.loss_bbox: 0.1455 d0.loss_iou: 0.2739 d1.loss_cls: 0.2943 d1.loss_bbox: 0.1356 d1.loss_iou: 0.2645 d2.loss_cls: 0.2863 d2.loss_bbox: 0.1340 d2.loss_iou: 0.2611 d3.loss_cls: 0.2792 d3.loss_bbox: 0.1321 d3.loss_iou: 0.2582 d4.loss_cls: 0.2740 d4.loss_bbox: 0.1346 d4.loss_iou: 0.2599 enc_loss_cls: 0.3291 enc_loss_bbox: 0.1582 enc_loss_iou: 0.2941 dn_loss_cls: 0.0927 dn_loss_bbox: 0.1845 dn_loss_iou: 0.2334 d0.dn_loss_cls: 0.1658 d0.dn_loss_bbox: 0.3532 d0.dn_loss_iou: 0.3911 d1.dn_loss_cls: 0.1148 d1.dn_loss_bbox: 0.2216 d1.dn_loss_iou: 0.2696 d2.dn_loss_cls: 0.1034 d2.dn_loss_bbox: 0.1939 d2.dn_loss_iou: 0.2428 d3.dn_loss_cls: 0.0955 d3.dn_loss_bbox: 0.1860 d3.dn_loss_iou: 0.2349 d4.dn_loss_cls: 0.0910 d4.dn_loss_bbox: 0.1844 d4.dn_loss_iou: 0.2333 d1.loss_lmm_region: 0.1295 loss_lmm_image: 0.8502 +2024/11/08 02:34:51 - mmengine - INFO - Iter(train) [ 75700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:31:54 time: 1.0243 data_time: 0.0182 memory: 23226 grad_norm: 21.7443 loss: 9.3636 loss_cls: 0.2773 loss_bbox: 0.1301 loss_iou: 0.2441 d0.loss_cls: 0.3135 d0.loss_bbox: 0.1403 d0.loss_iou: 0.2628 d1.loss_cls: 0.2931 d1.loss_bbox: 0.1339 d1.loss_iou: 0.2530 d2.loss_cls: 0.2901 d2.loss_bbox: 0.1275 d2.loss_iou: 0.2447 d3.loss_cls: 0.2809 d3.loss_bbox: 0.1286 d3.loss_iou: 0.2429 d4.loss_cls: 0.2752 d4.loss_bbox: 0.1292 d4.loss_iou: 0.2454 enc_loss_cls: 0.3324 enc_loss_bbox: 0.1503 enc_loss_iou: 0.2786 dn_loss_cls: 0.1066 dn_loss_bbox: 0.1738 dn_loss_iou: 0.2297 d0.dn_loss_cls: 0.2011 d0.dn_loss_bbox: 0.3374 d0.dn_loss_iou: 0.3812 d1.dn_loss_cls: 0.1367 d1.dn_loss_bbox: 0.2122 d1.dn_loss_iou: 0.2642 d2.dn_loss_cls: 0.1260 d2.dn_loss_bbox: 0.1834 d2.dn_loss_iou: 0.2396 d3.dn_loss_cls: 0.1154 d3.dn_loss_bbox: 0.1754 d3.dn_loss_iou: 0.2308 d4.dn_loss_cls: 0.1069 d4.dn_loss_bbox: 0.1737 d4.dn_loss_iou: 0.2295 d1.loss_lmm_region: 0.1452 loss_lmm_image: 0.8210 +2024/11/08 02:36:33 - mmengine - INFO - Iter(train) [ 75800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:30:08 time: 1.0260 data_time: 0.0181 memory: 23266 grad_norm: 22.0670 loss: 9.5430 loss_cls: 0.2798 loss_bbox: 0.1613 loss_iou: 0.2637 d0.loss_cls: 0.3209 d0.loss_bbox: 0.1715 d0.loss_iou: 0.2738 d1.loss_cls: 0.3002 d1.loss_bbox: 0.1630 d1.loss_iou: 0.2678 d2.loss_cls: 0.2863 d2.loss_bbox: 0.1644 d2.loss_iou: 0.2668 d3.loss_cls: 0.2828 d3.loss_bbox: 0.1620 d3.loss_iou: 0.2634 d4.loss_cls: 0.2783 d4.loss_bbox: 0.1624 d4.loss_iou: 0.2629 enc_loss_cls: 0.3353 enc_loss_bbox: 0.1885 enc_loss_iou: 0.2960 dn_loss_cls: 0.0815 dn_loss_bbox: 0.1883 dn_loss_iou: 0.2213 d0.dn_loss_cls: 0.1824 d0.dn_loss_bbox: 0.3493 d0.dn_loss_iou: 0.3704 d1.dn_loss_cls: 0.1157 d1.dn_loss_bbox: 0.2257 d1.dn_loss_iou: 0.2532 d2.dn_loss_cls: 0.0965 d2.dn_loss_bbox: 0.1988 d2.dn_loss_iou: 0.2300 d3.dn_loss_cls: 0.0852 d3.dn_loss_bbox: 0.1900 d3.dn_loss_iou: 0.2222 d4.dn_loss_cls: 0.0831 d4.dn_loss_bbox: 0.1884 d4.dn_loss_iou: 0.2212 d1.loss_lmm_region: 0.1471 loss_lmm_image: 0.7416 +2024/11/08 02:38:16 - mmengine - INFO - Iter(train) [ 75900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:28:23 time: 1.0302 data_time: 0.0182 memory: 23709 grad_norm: 21.0409 loss: 9.7572 loss_cls: 0.2818 loss_bbox: 0.1600 loss_iou: 0.2847 d0.loss_cls: 0.3239 d0.loss_bbox: 0.1686 d0.loss_iou: 0.3008 d1.loss_cls: 0.3042 d1.loss_bbox: 0.1646 d1.loss_iou: 0.2893 d2.loss_cls: 0.2892 d2.loss_bbox: 0.1646 d2.loss_iou: 0.2874 d3.loss_cls: 0.2884 d3.loss_bbox: 0.1601 d3.loss_iou: 0.2856 d4.loss_cls: 0.2842 d4.loss_bbox: 0.1598 d4.loss_iou: 0.2852 enc_loss_cls: 0.3384 enc_loss_bbox: 0.1884 enc_loss_iou: 0.3238 dn_loss_cls: 0.0816 dn_loss_bbox: 0.1769 dn_loss_iou: 0.2347 d0.dn_loss_cls: 0.1710 d0.dn_loss_bbox: 0.3528 d0.dn_loss_iou: 0.4010 d1.dn_loss_cls: 0.1145 d1.dn_loss_bbox: 0.2150 d1.dn_loss_iou: 0.2704 d2.dn_loss_cls: 0.0956 d2.dn_loss_bbox: 0.1875 d2.dn_loss_iou: 0.2443 d3.dn_loss_cls: 0.0868 d3.dn_loss_bbox: 0.1781 d3.dn_loss_iou: 0.2360 d4.dn_loss_cls: 0.0825 d4.dn_loss_bbox: 0.1769 d4.dn_loss_iou: 0.2348 d1.loss_lmm_region: 0.1270 loss_lmm_image: 0.7566 +2024/11/08 02:39:59 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/08 02:39:59 - mmengine - INFO - Iter(train) [ 76000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:26:37 time: 1.0183 data_time: 0.0184 memory: 24020 grad_norm: 21.4783 loss: 9.1215 loss_cls: 0.2895 loss_bbox: 0.1358 loss_iou: 0.2535 d0.loss_cls: 0.3211 d0.loss_bbox: 0.1414 d0.loss_iou: 0.2656 d1.loss_cls: 0.3124 d1.loss_bbox: 0.1323 d1.loss_iou: 0.2531 d2.loss_cls: 0.2992 d2.loss_bbox: 0.1342 d2.loss_iou: 0.2536 d3.loss_cls: 0.2926 d3.loss_bbox: 0.1361 d3.loss_iou: 0.2527 d4.loss_cls: 0.2893 d4.loss_bbox: 0.1365 d4.loss_iou: 0.2542 enc_loss_cls: 0.3312 enc_loss_bbox: 0.1530 enc_loss_iou: 0.2853 dn_loss_cls: 0.0991 dn_loss_bbox: 0.1546 dn_loss_iou: 0.2223 d0.dn_loss_cls: 0.1840 d0.dn_loss_bbox: 0.2910 d0.dn_loss_iou: 0.3655 d1.dn_loss_cls: 0.1269 d1.dn_loss_bbox: 0.1839 d1.dn_loss_iou: 0.2533 d2.dn_loss_cls: 0.1098 d2.dn_loss_bbox: 0.1616 d2.dn_loss_iou: 0.2303 d3.dn_loss_cls: 0.1022 d3.dn_loss_bbox: 0.1549 d3.dn_loss_iou: 0.2234 d4.dn_loss_cls: 0.0992 d4.dn_loss_bbox: 0.1545 d4.dn_loss_iou: 0.2224 d1.loss_lmm_region: 0.1385 loss_lmm_image: 0.7217 +2024/11/08 02:41:42 - mmengine - INFO - Iter(train) [ 76100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:24:51 time: 1.0279 data_time: 0.0181 memory: 24323 grad_norm: 21.6728 loss: 9.2052 loss_cls: 0.2732 loss_bbox: 0.1377 loss_iou: 0.2666 d0.loss_cls: 0.3098 d0.loss_bbox: 0.1481 d0.loss_iou: 0.2812 d1.loss_cls: 0.2883 d1.loss_bbox: 0.1405 d1.loss_iou: 0.2700 d2.loss_cls: 0.2806 d2.loss_bbox: 0.1398 d2.loss_iou: 0.2653 d3.loss_cls: 0.2768 d3.loss_bbox: 0.1395 d3.loss_iou: 0.2649 d4.loss_cls: 0.2747 d4.loss_bbox: 0.1369 d4.loss_iou: 0.2655 enc_loss_cls: 0.3312 enc_loss_bbox: 0.1603 enc_loss_iou: 0.3014 dn_loss_cls: 0.0751 dn_loss_bbox: 0.1614 dn_loss_iou: 0.2304 d0.dn_loss_cls: 0.1659 d0.dn_loss_bbox: 0.3187 d0.dn_loss_iou: 0.3874 d1.dn_loss_cls: 0.1086 d1.dn_loss_bbox: 0.1968 d1.dn_loss_iou: 0.2641 d2.dn_loss_cls: 0.0897 d2.dn_loss_bbox: 0.1689 d2.dn_loss_iou: 0.2375 d3.dn_loss_cls: 0.0805 d3.dn_loss_bbox: 0.1627 d3.dn_loss_iou: 0.2313 d4.dn_loss_cls: 0.0770 d4.dn_loss_bbox: 0.1614 d4.dn_loss_iou: 0.2304 d1.loss_lmm_region: 0.1399 loss_lmm_image: 0.7653 +2024/11/08 02:43:25 - mmengine - INFO - Iter(train) [ 76200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:23:06 time: 1.0280 data_time: 0.0180 memory: 24773 grad_norm: 25.0077 loss: 9.3768 loss_cls: 0.3005 loss_bbox: 0.1313 loss_iou: 0.2439 d0.loss_cls: 0.3289 d0.loss_bbox: 0.1434 d0.loss_iou: 0.2545 d1.loss_cls: 0.3182 d1.loss_bbox: 0.1376 d1.loss_iou: 0.2486 d2.loss_cls: 0.3115 d2.loss_bbox: 0.1339 d2.loss_iou: 0.2447 d3.loss_cls: 0.3083 d3.loss_bbox: 0.1330 d3.loss_iou: 0.2441 d4.loss_cls: 0.3038 d4.loss_bbox: 0.1309 d4.loss_iou: 0.2441 enc_loss_cls: 0.3398 enc_loss_bbox: 0.1601 enc_loss_iou: 0.2799 dn_loss_cls: 0.1135 dn_loss_bbox: 0.1642 dn_loss_iou: 0.2261 d0.dn_loss_cls: 0.1868 d0.dn_loss_bbox: 0.3179 d0.dn_loss_iou: 0.3828 d1.dn_loss_cls: 0.1405 d1.dn_loss_bbox: 0.1991 d1.dn_loss_iou: 0.2612 d2.dn_loss_cls: 0.1261 d2.dn_loss_bbox: 0.1745 d2.dn_loss_iou: 0.2354 d3.dn_loss_cls: 0.1164 d3.dn_loss_bbox: 0.1657 d3.dn_loss_iou: 0.2278 d4.dn_loss_cls: 0.1128 d4.dn_loss_bbox: 0.1640 d4.dn_loss_iou: 0.2259 d1.loss_lmm_region: 0.1293 loss_lmm_image: 0.7660 +2024/11/08 02:45:07 - mmengine - INFO - Iter(train) [ 76300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:21:19 time: 1.0240 data_time: 0.0181 memory: 23494 grad_norm: 21.2104 loss: 8.9411 loss_cls: 0.2581 loss_bbox: 0.1349 loss_iou: 0.2544 d0.loss_cls: 0.3023 d0.loss_bbox: 0.1423 d0.loss_iou: 0.2652 d1.loss_cls: 0.2840 d1.loss_bbox: 0.1399 d1.loss_iou: 0.2615 d2.loss_cls: 0.2744 d2.loss_bbox: 0.1353 d2.loss_iou: 0.2562 d3.loss_cls: 0.2679 d3.loss_bbox: 0.1323 d3.loss_iou: 0.2544 d4.loss_cls: 0.2601 d4.loss_bbox: 0.1332 d4.loss_iou: 0.2538 enc_loss_cls: 0.3161 enc_loss_bbox: 0.1568 enc_loss_iou: 0.2860 dn_loss_cls: 0.0759 dn_loss_bbox: 0.1707 dn_loss_iou: 0.2146 d0.dn_loss_cls: 0.1500 d0.dn_loss_bbox: 0.3182 d0.dn_loss_iou: 0.3564 d1.dn_loss_cls: 0.1017 d1.dn_loss_bbox: 0.2004 d1.dn_loss_iou: 0.2425 d2.dn_loss_cls: 0.0899 d2.dn_loss_bbox: 0.1766 d2.dn_loss_iou: 0.2203 d3.dn_loss_cls: 0.0794 d3.dn_loss_bbox: 0.1711 d3.dn_loss_iou: 0.2161 d4.dn_loss_cls: 0.0772 d4.dn_loss_bbox: 0.1708 d4.dn_loss_iou: 0.2144 d1.loss_lmm_region: 0.1155 loss_lmm_image: 0.8102 +2024/11/08 02:46:49 - mmengine - INFO - Iter(train) [ 76400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:19:33 time: 1.0186 data_time: 0.0180 memory: 23398 grad_norm: 23.5690 loss: 8.6404 loss_cls: 0.2678 loss_bbox: 0.1125 loss_iou: 0.2281 d0.loss_cls: 0.2946 d0.loss_bbox: 0.1283 d0.loss_iou: 0.2464 d1.loss_cls: 0.2825 d1.loss_bbox: 0.1220 d1.loss_iou: 0.2377 d2.loss_cls: 0.2754 d2.loss_bbox: 0.1165 d2.loss_iou: 0.2304 d3.loss_cls: 0.2727 d3.loss_bbox: 0.1138 d3.loss_iou: 0.2305 d4.loss_cls: 0.2675 d4.loss_bbox: 0.1139 d4.loss_iou: 0.2298 enc_loss_cls: 0.3155 enc_loss_bbox: 0.1379 enc_loss_iou: 0.2578 dn_loss_cls: 0.0922 dn_loss_bbox: 0.1516 dn_loss_iou: 0.2069 d0.dn_loss_cls: 0.1788 d0.dn_loss_bbox: 0.3075 d0.dn_loss_iou: 0.3631 d1.dn_loss_cls: 0.1218 d1.dn_loss_bbox: 0.1876 d1.dn_loss_iou: 0.2423 d2.dn_loss_cls: 0.1057 d2.dn_loss_bbox: 0.1599 d2.dn_loss_iou: 0.2150 d3.dn_loss_cls: 0.0973 d3.dn_loss_bbox: 0.1530 d3.dn_loss_iou: 0.2081 d4.dn_loss_cls: 0.0933 d4.dn_loss_bbox: 0.1516 d4.dn_loss_iou: 0.2068 d1.loss_lmm_region: 0.1221 loss_lmm_image: 0.7945 +2024/11/08 02:48:32 - mmengine - INFO - Iter(train) [ 76500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:17:47 time: 1.0270 data_time: 0.0181 memory: 23232 grad_norm: 19.7098 loss: 8.8778 loss_cls: 0.2658 loss_bbox: 0.1285 loss_iou: 0.2555 d0.loss_cls: 0.3064 d0.loss_bbox: 0.1378 d0.loss_iou: 0.2713 d1.loss_cls: 0.2837 d1.loss_bbox: 0.1326 d1.loss_iou: 0.2622 d2.loss_cls: 0.2765 d2.loss_bbox: 0.1268 d2.loss_iou: 0.2554 d3.loss_cls: 0.2711 d3.loss_bbox: 0.1273 d3.loss_iou: 0.2541 d4.loss_cls: 0.2662 d4.loss_bbox: 0.1269 d4.loss_iou: 0.2547 enc_loss_cls: 0.3207 enc_loss_bbox: 0.1565 enc_loss_iou: 0.2967 dn_loss_cls: 0.0745 dn_loss_bbox: 0.1538 dn_loss_iou: 0.2173 d0.dn_loss_cls: 0.1492 d0.dn_loss_bbox: 0.3044 d0.dn_loss_iou: 0.3612 d1.dn_loss_cls: 0.1027 d1.dn_loss_bbox: 0.1816 d1.dn_loss_iou: 0.2477 d2.dn_loss_cls: 0.0879 d2.dn_loss_bbox: 0.1643 d2.dn_loss_iou: 0.2252 d3.dn_loss_cls: 0.0819 d3.dn_loss_bbox: 0.1548 d3.dn_loss_iou: 0.2185 d4.dn_loss_cls: 0.0749 d4.dn_loss_bbox: 0.1538 d4.dn_loss_iou: 0.2172 d1.loss_lmm_region: 0.1341 loss_lmm_image: 0.7963 +2024/11/08 02:50:14 - mmengine - INFO - Iter(train) [ 76600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:16:01 time: 1.0258 data_time: 0.0181 memory: 24188 grad_norm: 23.4244 loss: 8.7329 loss_cls: 0.2527 loss_bbox: 0.1257 loss_iou: 0.2143 d0.loss_cls: 0.2917 d0.loss_bbox: 0.1280 d0.loss_iou: 0.2241 d1.loss_cls: 0.2693 d1.loss_bbox: 0.1311 d1.loss_iou: 0.2195 d2.loss_cls: 0.2611 d2.loss_bbox: 0.1306 d2.loss_iou: 0.2161 d3.loss_cls: 0.2609 d3.loss_bbox: 0.1228 d3.loss_iou: 0.2131 d4.loss_cls: 0.2552 d4.loss_bbox: 0.1250 d4.loss_iou: 0.2130 enc_loss_cls: 0.3020 enc_loss_bbox: 0.1442 enc_loss_iou: 0.2481 dn_loss_cls: 0.0963 dn_loss_bbox: 0.1750 dn_loss_iou: 0.2144 d0.dn_loss_cls: 0.1786 d0.dn_loss_bbox: 0.3319 d0.dn_loss_iou: 0.3652 d1.dn_loss_cls: 0.1303 d1.dn_loss_bbox: 0.2085 d1.dn_loss_iou: 0.2493 d2.dn_loss_cls: 0.1114 d2.dn_loss_bbox: 0.1835 d2.dn_loss_iou: 0.2245 d3.dn_loss_cls: 0.1046 d3.dn_loss_bbox: 0.1761 d3.dn_loss_iou: 0.2162 d4.dn_loss_cls: 0.0974 d4.dn_loss_bbox: 0.1750 d4.dn_loss_iou: 0.2145 d1.loss_lmm_region: 0.1448 loss_lmm_image: 0.7870 +2024/11/08 02:51:57 - mmengine - INFO - Iter(train) [ 76700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:14:15 time: 1.0267 data_time: 0.0180 memory: 23774 grad_norm: 21.8033 loss: 10.3732 loss_cls: 0.3388 loss_bbox: 0.1709 loss_iou: 0.3161 d0.loss_cls: 0.3769 d0.loss_bbox: 0.1902 d0.loss_iou: 0.3407 d1.loss_cls: 0.3621 d1.loss_bbox: 0.1772 d1.loss_iou: 0.3241 d2.loss_cls: 0.3518 d2.loss_bbox: 0.1721 d2.loss_iou: 0.3188 d3.loss_cls: 0.3475 d3.loss_bbox: 0.1702 d3.loss_iou: 0.3161 d4.loss_cls: 0.3405 d4.loss_bbox: 0.1703 d4.loss_iou: 0.3153 enc_loss_cls: 0.3960 enc_loss_bbox: 0.2043 enc_loss_iou: 0.3606 dn_loss_cls: 0.0795 dn_loss_bbox: 0.1681 dn_loss_iou: 0.2250 d0.dn_loss_cls: 0.1679 d0.dn_loss_bbox: 0.3158 d0.dn_loss_iou: 0.3787 d1.dn_loss_cls: 0.1134 d1.dn_loss_bbox: 0.2042 d1.dn_loss_iou: 0.2642 d2.dn_loss_cls: 0.0920 d2.dn_loss_bbox: 0.1773 d2.dn_loss_iou: 0.2366 d3.dn_loss_cls: 0.0822 d3.dn_loss_bbox: 0.1694 d3.dn_loss_iou: 0.2271 d4.dn_loss_cls: 0.0793 d4.dn_loss_bbox: 0.1680 d4.dn_loss_iou: 0.2250 d1.loss_lmm_region: 0.1377 loss_lmm_image: 0.8013 +2024/11/08 02:53:40 - mmengine - INFO - Iter(train) [ 76800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:12:29 time: 1.0278 data_time: 0.0181 memory: 22743 grad_norm: nan loss: 10.1642 loss_cls: 0.3165 loss_bbox: 0.1705 loss_iou: 0.3165 d0.loss_cls: 0.3593 d0.loss_bbox: 0.1848 d0.loss_iou: 0.3325 d1.loss_cls: 0.3478 d1.loss_bbox: 0.1677 d1.loss_iou: 0.3137 d2.loss_cls: 0.3327 d2.loss_bbox: 0.1682 d2.loss_iou: 0.3166 d3.loss_cls: 0.3279 d3.loss_bbox: 0.1674 d3.loss_iou: 0.3163 d4.loss_cls: 0.3130 d4.loss_bbox: 0.1714 d4.loss_iou: 0.3185 enc_loss_cls: 0.3863 enc_loss_bbox: 0.1988 enc_loss_iou: 0.3486 dn_loss_cls: 0.0840 dn_loss_bbox: 0.1684 dn_loss_iou: 0.2340 d0.dn_loss_cls: 0.1679 d0.dn_loss_bbox: 0.3128 d0.dn_loss_iou: 0.3827 d1.dn_loss_cls: 0.1119 d1.dn_loss_bbox: 0.2006 d1.dn_loss_iou: 0.2684 d2.dn_loss_cls: 0.0961 d2.dn_loss_bbox: 0.1759 d2.dn_loss_iou: 0.2432 d3.dn_loss_cls: 0.0888 d3.dn_loss_bbox: 0.1696 d3.dn_loss_iou: 0.2358 d4.dn_loss_cls: 0.0844 d4.dn_loss_bbox: 0.1685 d4.dn_loss_iou: 0.2340 d1.loss_lmm_region: 0.1213 loss_lmm_image: 0.7409 +2024/11/08 02:55:22 - mmengine - INFO - Iter(train) [ 76900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:10:43 time: 1.0274 data_time: 0.0181 memory: 23800 grad_norm: 31.0819 loss: 9.1522 loss_cls: 0.2811 loss_bbox: 0.1287 loss_iou: 0.2529 d0.loss_cls: 0.3174 d0.loss_bbox: 0.1396 d0.loss_iou: 0.2685 d1.loss_cls: 0.2958 d1.loss_bbox: 0.1327 d1.loss_iou: 0.2573 d2.loss_cls: 0.2894 d2.loss_bbox: 0.1281 d2.loss_iou: 0.2529 d3.loss_cls: 0.2876 d3.loss_bbox: 0.1241 d3.loss_iou: 0.2488 d4.loss_cls: 0.2818 d4.loss_bbox: 0.1281 d4.loss_iou: 0.2526 enc_loss_cls: 0.3285 enc_loss_bbox: 0.1508 enc_loss_iou: 0.2854 dn_loss_cls: 0.0879 dn_loss_bbox: 0.1546 dn_loss_iou: 0.2249 d0.dn_loss_cls: 0.1738 d0.dn_loss_bbox: 0.3128 d0.dn_loss_iou: 0.3881 d1.dn_loss_cls: 0.1155 d1.dn_loss_bbox: 0.1934 d1.dn_loss_iou: 0.2641 d2.dn_loss_cls: 0.0985 d2.dn_loss_bbox: 0.1638 d2.dn_loss_iou: 0.2350 d3.dn_loss_cls: 0.0926 d3.dn_loss_bbox: 0.1553 d3.dn_loss_iou: 0.2263 d4.dn_loss_cls: 0.0887 d4.dn_loss_bbox: 0.1546 d4.dn_loss_iou: 0.2249 d1.loss_lmm_region: 0.1361 loss_lmm_image: 0.8292 +2024/11/08 02:57:05 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/08 02:57:05 - mmengine - INFO - Iter(train) [ 77000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:08:58 time: 1.0166 data_time: 0.0181 memory: 24562 grad_norm: 26.2646 loss: 10.1290 loss_cls: 0.3049 loss_bbox: 0.1366 loss_iou: 0.2356 d0.loss_cls: 0.3352 d0.loss_bbox: 0.1515 d0.loss_iou: 0.2508 d1.loss_cls: 0.3243 d1.loss_bbox: 0.1361 d1.loss_iou: 0.2375 d2.loss_cls: 0.3106 d2.loss_bbox: 0.1406 d2.loss_iou: 0.2405 d3.loss_cls: 0.3091 d3.loss_bbox: 0.1387 d3.loss_iou: 0.2364 d4.loss_cls: 0.3035 d4.loss_bbox: 0.1409 d4.loss_iou: 0.2376 enc_loss_cls: 0.3483 enc_loss_bbox: 0.1624 enc_loss_iou: 0.2705 dn_loss_cls: 0.1753 dn_loss_bbox: 0.2009 dn_loss_iou: 0.2358 d0.dn_loss_cls: 0.2427 d0.dn_loss_bbox: 0.3734 d0.dn_loss_iou: 0.3994 d1.dn_loss_cls: 0.2072 d1.dn_loss_bbox: 0.2432 d1.dn_loss_iou: 0.2743 d2.dn_loss_cls: 0.1779 d2.dn_loss_bbox: 0.2121 d2.dn_loss_iou: 0.2457 d3.dn_loss_cls: 0.1718 d3.dn_loss_bbox: 0.2022 d3.dn_loss_iou: 0.2377 d4.dn_loss_cls: 0.1777 d4.dn_loss_bbox: 0.2009 d4.dn_loss_iou: 0.2358 d1.loss_lmm_region: 0.1492 loss_lmm_image: 0.8143 +2024/11/08 02:58:47 - mmengine - INFO - Iter(train) [ 77100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:07:11 time: 1.0293 data_time: 0.0181 memory: 23117 grad_norm: 22.6621 loss: 9.3516 loss_cls: 0.2839 loss_bbox: 0.1486 loss_iou: 0.2663 d0.loss_cls: 0.3250 d0.loss_bbox: 0.1561 d0.loss_iou: 0.2843 d1.loss_cls: 0.3059 d1.loss_bbox: 0.1495 d1.loss_iou: 0.2694 d2.loss_cls: 0.2924 d2.loss_bbox: 0.1513 d2.loss_iou: 0.2664 d3.loss_cls: 0.2872 d3.loss_bbox: 0.1489 d3.loss_iou: 0.2675 d4.loss_cls: 0.2862 d4.loss_bbox: 0.1471 d4.loss_iou: 0.2651 enc_loss_cls: 0.3436 enc_loss_bbox: 0.1694 enc_loss_iou: 0.3052 dn_loss_cls: 0.0848 dn_loss_bbox: 0.1684 dn_loss_iou: 0.2135 d0.dn_loss_cls: 0.1640 d0.dn_loss_bbox: 0.3238 d0.dn_loss_iou: 0.3632 d1.dn_loss_cls: 0.1146 d1.dn_loss_bbox: 0.2004 d1.dn_loss_iou: 0.2461 d2.dn_loss_cls: 0.0983 d2.dn_loss_bbox: 0.1805 d2.dn_loss_iou: 0.2235 d3.dn_loss_cls: 0.0875 d3.dn_loss_bbox: 0.1704 d3.dn_loss_iou: 0.2153 d4.dn_loss_cls: 0.0854 d4.dn_loss_bbox: 0.1683 d4.dn_loss_iou: 0.2134 d1.loss_lmm_region: 0.1363 loss_lmm_image: 0.7745 +2024/11/08 03:00:31 - mmengine - INFO - Iter(train) [ 77200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:05:26 time: 1.0268 data_time: 0.0180 memory: 23344 grad_norm: 20.0088 loss: 9.3890 loss_cls: 0.2966 loss_bbox: 0.1416 loss_iou: 0.2632 d0.loss_cls: 0.3286 d0.loss_bbox: 0.1562 d0.loss_iou: 0.2823 d1.loss_cls: 0.3109 d1.loss_bbox: 0.1434 d1.loss_iou: 0.2693 d2.loss_cls: 0.3034 d2.loss_bbox: 0.1444 d2.loss_iou: 0.2639 d3.loss_cls: 0.3021 d3.loss_bbox: 0.1417 d3.loss_iou: 0.2631 d4.loss_cls: 0.2992 d4.loss_bbox: 0.1422 d4.loss_iou: 0.2622 enc_loss_cls: 0.3446 enc_loss_bbox: 0.1698 enc_loss_iou: 0.3018 dn_loss_cls: 0.0777 dn_loss_bbox: 0.1689 dn_loss_iou: 0.2162 d0.dn_loss_cls: 0.1656 d0.dn_loss_bbox: 0.3129 d0.dn_loss_iou: 0.3618 d1.dn_loss_cls: 0.1102 d1.dn_loss_bbox: 0.2022 d1.dn_loss_iou: 0.2490 d2.dn_loss_cls: 0.0934 d2.dn_loss_bbox: 0.1791 d2.dn_loss_iou: 0.2254 d3.dn_loss_cls: 0.0833 d3.dn_loss_bbox: 0.1708 d3.dn_loss_iou: 0.2181 d4.dn_loss_cls: 0.0792 d4.dn_loss_bbox: 0.1690 d4.dn_loss_iou: 0.2163 d1.loss_lmm_region: 0.1326 loss_lmm_image: 0.8269 +2024/11/08 03:02:14 - mmengine - INFO - Iter(train) [ 77300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:03:41 time: 1.0392 data_time: 0.0181 memory: 23389 grad_norm: 21.4728 loss: 9.2726 loss_cls: 0.2557 loss_bbox: 0.1524 loss_iou: 0.2561 d0.loss_cls: 0.2915 d0.loss_bbox: 0.1594 d0.loss_iou: 0.2680 d1.loss_cls: 0.2770 d1.loss_bbox: 0.1507 d1.loss_iou: 0.2598 d2.loss_cls: 0.2633 d2.loss_bbox: 0.1560 d2.loss_iou: 0.2592 d3.loss_cls: 0.2620 d3.loss_bbox: 0.1521 d3.loss_iou: 0.2548 d4.loss_cls: 0.2568 d4.loss_bbox: 0.1522 d4.loss_iou: 0.2565 enc_loss_cls: 0.3137 enc_loss_bbox: 0.1659 enc_loss_iou: 0.2847 dn_loss_cls: 0.0876 dn_loss_bbox: 0.1872 dn_loss_iou: 0.2191 d0.dn_loss_cls: 0.1644 d0.dn_loss_bbox: 0.3568 d0.dn_loss_iou: 0.3645 d1.dn_loss_cls: 0.1166 d1.dn_loss_bbox: 0.2297 d1.dn_loss_iou: 0.2530 d2.dn_loss_cls: 0.0986 d2.dn_loss_bbox: 0.2000 d2.dn_loss_iou: 0.2281 d3.dn_loss_cls: 0.0920 d3.dn_loss_bbox: 0.1901 d3.dn_loss_iou: 0.2204 d4.dn_loss_cls: 0.0883 d4.dn_loss_bbox: 0.1873 d4.dn_loss_iou: 0.2191 d1.loss_lmm_region: 0.1240 loss_lmm_image: 0.7981 +2024/11/08 03:03:57 - mmengine - INFO - Iter(train) [ 77400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:01:55 time: 1.0291 data_time: 0.0181 memory: 23663 grad_norm: 23.8874 loss: 9.9949 loss_cls: 0.3339 loss_bbox: 0.1531 loss_iou: 0.2652 d0.loss_cls: 0.3787 d0.loss_bbox: 0.1632 d0.loss_iou: 0.2811 d1.loss_cls: 0.3501 d1.loss_bbox: 0.1633 d1.loss_iou: 0.2762 d2.loss_cls: 0.3448 d2.loss_bbox: 0.1557 d2.loss_iou: 0.2657 d3.loss_cls: 0.3387 d3.loss_bbox: 0.1517 d3.loss_iou: 0.2648 d4.loss_cls: 0.3380 d4.loss_bbox: 0.1529 d4.loss_iou: 0.2648 enc_loss_cls: 0.3926 enc_loss_bbox: 0.1785 enc_loss_iou: 0.3019 dn_loss_cls: 0.0873 dn_loss_bbox: 0.1807 dn_loss_iou: 0.2335 d0.dn_loss_cls: 0.1868 d0.dn_loss_bbox: 0.3399 d0.dn_loss_iou: 0.3884 d1.dn_loss_cls: 0.1237 d1.dn_loss_bbox: 0.2184 d1.dn_loss_iou: 0.2690 d2.dn_loss_cls: 0.1059 d2.dn_loss_bbox: 0.1939 d2.dn_loss_iou: 0.2443 d3.dn_loss_cls: 0.0933 d3.dn_loss_bbox: 0.1824 d3.dn_loss_iou: 0.2355 d4.dn_loss_cls: 0.0878 d4.dn_loss_bbox: 0.1808 d4.dn_loss_iou: 0.2336 d1.loss_lmm_region: 0.1405 loss_lmm_image: 0.7542 +2024/11/08 03:05:40 - mmengine - INFO - Iter(train) [ 77500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:00:10 time: 1.0298 data_time: 0.0181 memory: 23832 grad_norm: 21.8756 loss: 9.2421 loss_cls: 0.2698 loss_bbox: 0.1408 loss_iou: 0.2426 d0.loss_cls: 0.2955 d0.loss_bbox: 0.1611 d0.loss_iou: 0.2656 d1.loss_cls: 0.2800 d1.loss_bbox: 0.1465 d1.loss_iou: 0.2496 d2.loss_cls: 0.2770 d2.loss_bbox: 0.1408 d2.loss_iou: 0.2425 d3.loss_cls: 0.2757 d3.loss_bbox: 0.1387 d3.loss_iou: 0.2405 d4.loss_cls: 0.2730 d4.loss_bbox: 0.1408 d4.loss_iou: 0.2421 enc_loss_cls: 0.3166 enc_loss_bbox: 0.1718 enc_loss_iou: 0.2824 dn_loss_cls: 0.0839 dn_loss_bbox: 0.1772 dn_loss_iou: 0.2239 d0.dn_loss_cls: 0.1793 d0.dn_loss_bbox: 0.3338 d0.dn_loss_iou: 0.3793 d1.dn_loss_cls: 0.1223 d1.dn_loss_bbox: 0.2148 d1.dn_loss_iou: 0.2597 d2.dn_loss_cls: 0.1038 d2.dn_loss_bbox: 0.1859 d2.dn_loss_iou: 0.2323 d3.dn_loss_cls: 0.0896 d3.dn_loss_bbox: 0.1788 d3.dn_loss_iou: 0.2250 d4.dn_loss_cls: 0.0847 d4.dn_loss_bbox: 0.1774 d4.dn_loss_iou: 0.2241 d1.loss_lmm_region: 0.1425 loss_lmm_image: 0.8310 +2024/11/08 03:07:22 - mmengine - INFO - Iter(train) [ 77600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:58:24 time: 1.0159 data_time: 0.0180 memory: 24205 grad_norm: 23.1562 loss: 8.8130 loss_cls: 0.2868 loss_bbox: 0.1237 loss_iou: 0.2179 d0.loss_cls: 0.3247 d0.loss_bbox: 0.1386 d0.loss_iou: 0.2341 d1.loss_cls: 0.3002 d1.loss_bbox: 0.1302 d1.loss_iou: 0.2215 d2.loss_cls: 0.2913 d2.loss_bbox: 0.1282 d2.loss_iou: 0.2207 d3.loss_cls: 0.2878 d3.loss_bbox: 0.1278 d3.loss_iou: 0.2191 d4.loss_cls: 0.2861 d4.loss_bbox: 0.1242 d4.loss_iou: 0.2179 enc_loss_cls: 0.3361 enc_loss_bbox: 0.1539 enc_loss_iou: 0.2593 dn_loss_cls: 0.0958 dn_loss_bbox: 0.1624 dn_loss_iou: 0.1996 d0.dn_loss_cls: 0.1750 d0.dn_loss_bbox: 0.3305 d0.dn_loss_iou: 0.3480 d1.dn_loss_cls: 0.1217 d1.dn_loss_bbox: 0.1963 d1.dn_loss_iou: 0.2319 d2.dn_loss_cls: 0.1068 d2.dn_loss_bbox: 0.1721 d2.dn_loss_iou: 0.2082 d3.dn_loss_cls: 0.0982 d3.dn_loss_bbox: 0.1636 d3.dn_loss_iou: 0.2009 d4.dn_loss_cls: 0.0947 d4.dn_loss_bbox: 0.1623 d4.dn_loss_iou: 0.1996 d1.loss_lmm_region: 0.1501 loss_lmm_image: 0.7651 +2024/11/08 03:09:05 - mmengine - INFO - Iter(train) [ 77700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:56:37 time: 1.0219 data_time: 0.0181 memory: 23242 grad_norm: 22.4872 loss: 8.5967 loss_cls: 0.2632 loss_bbox: 0.1299 loss_iou: 0.2512 d0.loss_cls: 0.3014 d0.loss_bbox: 0.1388 d0.loss_iou: 0.2664 d1.loss_cls: 0.2862 d1.loss_bbox: 0.1335 d1.loss_iou: 0.2600 d2.loss_cls: 0.2766 d2.loss_bbox: 0.1313 d2.loss_iou: 0.2526 d3.loss_cls: 0.2675 d3.loss_bbox: 0.1308 d3.loss_iou: 0.2539 d4.loss_cls: 0.2636 d4.loss_bbox: 0.1295 d4.loss_iou: 0.2512 enc_loss_cls: 0.3214 enc_loss_bbox: 0.1514 enc_loss_iou: 0.2887 dn_loss_cls: 0.0661 dn_loss_bbox: 0.1396 dn_loss_iou: 0.2026 d0.dn_loss_cls: 0.1396 d0.dn_loss_bbox: 0.2783 d0.dn_loss_iou: 0.3435 d1.dn_loss_cls: 0.0909 d1.dn_loss_bbox: 0.1700 d1.dn_loss_iou: 0.2344 d2.dn_loss_cls: 0.0778 d2.dn_loss_bbox: 0.1483 d2.dn_loss_iou: 0.2114 d3.dn_loss_cls: 0.0703 d3.dn_loss_bbox: 0.1411 d3.dn_loss_iou: 0.2041 d4.dn_loss_cls: 0.0665 d4.dn_loss_bbox: 0.1396 d4.dn_loss_iou: 0.2026 d1.loss_lmm_region: 0.1296 loss_lmm_image: 0.7914 +2024/11/08 03:10:48 - mmengine - INFO - Iter(train) [ 77800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:54:52 time: 1.0389 data_time: 0.0180 memory: 22998 grad_norm: 20.2298 loss: 9.0503 loss_cls: 0.2820 loss_bbox: 0.1308 loss_iou: 0.2211 d0.loss_cls: 0.3185 d0.loss_bbox: 0.1440 d0.loss_iou: 0.2406 d1.loss_cls: 0.3012 d1.loss_bbox: 0.1336 d1.loss_iou: 0.2264 d2.loss_cls: 0.2894 d2.loss_bbox: 0.1306 d2.loss_iou: 0.2224 d3.loss_cls: 0.2867 d3.loss_bbox: 0.1291 d3.loss_iou: 0.2220 d4.loss_cls: 0.2836 d4.loss_bbox: 0.1298 d4.loss_iou: 0.2201 enc_loss_cls: 0.3394 enc_loss_bbox: 0.1598 enc_loss_iou: 0.2619 dn_loss_cls: 0.0931 dn_loss_bbox: 0.1752 dn_loss_iou: 0.2132 d0.dn_loss_cls: 0.1801 d0.dn_loss_bbox: 0.3504 d0.dn_loss_iou: 0.3720 d1.dn_loss_cls: 0.1224 d1.dn_loss_bbox: 0.2141 d1.dn_loss_iou: 0.2501 d2.dn_loss_cls: 0.1056 d2.dn_loss_bbox: 0.1844 d2.dn_loss_iou: 0.2229 d3.dn_loss_cls: 0.0978 d3.dn_loss_bbox: 0.1762 d3.dn_loss_iou: 0.2146 d4.dn_loss_cls: 0.0933 d4.dn_loss_bbox: 0.1753 d4.dn_loss_iou: 0.2132 d1.loss_lmm_region: 0.1254 loss_lmm_image: 0.7983 +2024/11/08 03:12:30 - mmengine - INFO - Iter(train) [ 77900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:53:05 time: 1.0073 data_time: 0.0181 memory: 23576 grad_norm: 21.1242 loss: 9.2556 loss_cls: 0.2680 loss_bbox: 0.1506 loss_iou: 0.2648 d0.loss_cls: 0.3048 d0.loss_bbox: 0.1642 d0.loss_iou: 0.2824 d1.loss_cls: 0.2885 d1.loss_bbox: 0.1547 d1.loss_iou: 0.2678 d2.loss_cls: 0.2787 d2.loss_bbox: 0.1514 d2.loss_iou: 0.2646 d3.loss_cls: 0.2743 d3.loss_bbox: 0.1500 d3.loss_iou: 0.2616 d4.loss_cls: 0.2709 d4.loss_bbox: 0.1488 d4.loss_iou: 0.2618 enc_loss_cls: 0.3217 enc_loss_bbox: 0.1774 enc_loss_iou: 0.3012 dn_loss_cls: 0.0737 dn_loss_bbox: 0.1688 dn_loss_iou: 0.2234 d0.dn_loss_cls: 0.1526 d0.dn_loss_bbox: 0.3309 d0.dn_loss_iou: 0.3754 d1.dn_loss_cls: 0.1027 d1.dn_loss_bbox: 0.2030 d1.dn_loss_iou: 0.2554 d2.dn_loss_cls: 0.0879 d2.dn_loss_bbox: 0.1774 d2.dn_loss_iou: 0.2320 d3.dn_loss_cls: 0.0785 d3.dn_loss_bbox: 0.1707 d3.dn_loss_iou: 0.2249 d4.dn_loss_cls: 0.0751 d4.dn_loss_bbox: 0.1688 d4.dn_loss_iou: 0.2236 d1.loss_lmm_region: 0.1198 loss_lmm_image: 0.8029 +2024/11/08 03:14:13 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/08 03:14:13 - mmengine - INFO - Iter(train) [ 78000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:51:20 time: 1.0352 data_time: 0.0181 memory: 23668 grad_norm: 21.9906 loss: 10.3244 loss_cls: 0.3553 loss_bbox: 0.1527 loss_iou: 0.2655 d0.loss_cls: 0.4022 d0.loss_bbox: 0.1620 d0.loss_iou: 0.2829 d1.loss_cls: 0.3794 d1.loss_bbox: 0.1598 d1.loss_iou: 0.2760 d2.loss_cls: 0.3722 d2.loss_bbox: 0.1545 d2.loss_iou: 0.2672 d3.loss_cls: 0.3687 d3.loss_bbox: 0.1503 d3.loss_iou: 0.2642 d4.loss_cls: 0.3603 d4.loss_bbox: 0.1511 d4.loss_iou: 0.2639 enc_loss_cls: 0.4235 enc_loss_bbox: 0.1687 enc_loss_iou: 0.2974 dn_loss_cls: 0.1107 dn_loss_bbox: 0.1780 dn_loss_iou: 0.2309 d0.dn_loss_cls: 0.2150 d0.dn_loss_bbox: 0.3331 d0.dn_loss_iou: 0.3760 d1.dn_loss_cls: 0.1532 d1.dn_loss_bbox: 0.2102 d1.dn_loss_iou: 0.2637 d2.dn_loss_cls: 0.1332 d2.dn_loss_bbox: 0.1878 d2.dn_loss_iou: 0.2392 d3.dn_loss_cls: 0.1184 d3.dn_loss_bbox: 0.1799 d3.dn_loss_iou: 0.2325 d4.dn_loss_cls: 0.1126 d4.dn_loss_bbox: 0.1780 d4.dn_loss_iou: 0.2310 d1.loss_lmm_region: 0.1617 loss_lmm_image: 0.8014 +2024/11/08 03:15:56 - mmengine - INFO - Iter(train) [ 78100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:49:35 time: 1.0233 data_time: 0.0180 memory: 22857 grad_norm: 22.0445 loss: 10.1604 loss_cls: 0.2869 loss_bbox: 0.1514 loss_iou: 0.2909 d0.loss_cls: 0.3191 d0.loss_bbox: 0.1735 d0.loss_iou: 0.3202 d1.loss_cls: 0.3069 d1.loss_bbox: 0.1585 d1.loss_iou: 0.3034 d2.loss_cls: 0.2999 d2.loss_bbox: 0.1546 d2.loss_iou: 0.2937 d3.loss_cls: 0.2920 d3.loss_bbox: 0.1528 d3.loss_iou: 0.2923 d4.loss_cls: 0.2877 d4.loss_bbox: 0.1529 d4.loss_iou: 0.2912 enc_loss_cls: 0.3442 enc_loss_bbox: 0.1821 enc_loss_iou: 0.3312 dn_loss_cls: 0.0844 dn_loss_bbox: 0.2005 dn_loss_iou: 0.2481 d0.dn_loss_cls: 0.1829 d0.dn_loss_bbox: 0.3724 d0.dn_loss_iou: 0.4057 d1.dn_loss_cls: 0.1207 d1.dn_loss_bbox: 0.2369 d1.dn_loss_iou: 0.2831 d2.dn_loss_cls: 0.0999 d2.dn_loss_bbox: 0.2130 d2.dn_loss_iou: 0.2583 d3.dn_loss_cls: 0.0908 d3.dn_loss_bbox: 0.2025 d3.dn_loss_iou: 0.2495 d4.dn_loss_cls: 0.0858 d4.dn_loss_bbox: 0.2006 d4.dn_loss_iou: 0.2479 d1.loss_lmm_region: 0.1609 loss_lmm_image: 0.8312 +2024/11/08 03:17:39 - mmengine - INFO - Iter(train) [ 78200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:47:49 time: 1.0302 data_time: 0.0182 memory: 23829 grad_norm: 20.7787 loss: 8.8017 loss_cls: 0.2698 loss_bbox: 0.1275 loss_iou: 0.2604 d0.loss_cls: 0.3065 d0.loss_bbox: 0.1345 d0.loss_iou: 0.2721 d1.loss_cls: 0.2855 d1.loss_bbox: 0.1318 d1.loss_iou: 0.2636 d2.loss_cls: 0.2832 d2.loss_bbox: 0.1212 d2.loss_iou: 0.2542 d3.loss_cls: 0.2776 d3.loss_bbox: 0.1246 d3.loss_iou: 0.2573 d4.loss_cls: 0.2724 d4.loss_bbox: 0.1253 d4.loss_iou: 0.2574 enc_loss_cls: 0.3244 enc_loss_bbox: 0.1442 enc_loss_iou: 0.2948 dn_loss_cls: 0.0742 dn_loss_bbox: 0.1488 dn_loss_iou: 0.2112 d0.dn_loss_cls: 0.1576 d0.dn_loss_bbox: 0.2911 d0.dn_loss_iou: 0.3610 d1.dn_loss_cls: 0.1032 d1.dn_loss_bbox: 0.1837 d1.dn_loss_iou: 0.2461 d2.dn_loss_cls: 0.0875 d2.dn_loss_bbox: 0.1552 d2.dn_loss_iou: 0.2188 d3.dn_loss_cls: 0.0782 d3.dn_loss_bbox: 0.1491 d3.dn_loss_iou: 0.2122 d4.dn_loss_cls: 0.0749 d4.dn_loss_bbox: 0.1487 d4.dn_loss_iou: 0.2112 d1.loss_lmm_region: 0.1433 loss_lmm_image: 0.7575 +2024/11/08 03:19:21 - mmengine - INFO - Iter(train) [ 78300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:46:03 time: 1.0242 data_time: 0.0181 memory: 24540 grad_norm: 21.1379 loss: 8.9114 loss_cls: 0.2714 loss_bbox: 0.1325 loss_iou: 0.2183 d0.loss_cls: 0.2992 d0.loss_bbox: 0.1492 d0.loss_iou: 0.2326 d1.loss_cls: 0.2825 d1.loss_bbox: 0.1394 d1.loss_iou: 0.2237 d2.loss_cls: 0.2806 d2.loss_bbox: 0.1320 d2.loss_iou: 0.2185 d3.loss_cls: 0.2752 d3.loss_bbox: 0.1332 d3.loss_iou: 0.2185 d4.loss_cls: 0.2724 d4.loss_bbox: 0.1329 d4.loss_iou: 0.2184 enc_loss_cls: 0.3130 enc_loss_bbox: 0.1716 enc_loss_iou: 0.2566 dn_loss_cls: 0.0793 dn_loss_bbox: 0.1829 dn_loss_iou: 0.2088 d0.dn_loss_cls: 0.1754 d0.dn_loss_bbox: 0.3521 d0.dn_loss_iou: 0.3697 d1.dn_loss_cls: 0.1150 d1.dn_loss_bbox: 0.2253 d1.dn_loss_iou: 0.2482 d2.dn_loss_cls: 0.0954 d2.dn_loss_bbox: 0.1957 d2.dn_loss_iou: 0.2203 d3.dn_loss_cls: 0.0845 d3.dn_loss_bbox: 0.1847 d3.dn_loss_iou: 0.2108 d4.dn_loss_cls: 0.0805 d4.dn_loss_bbox: 0.1829 d4.dn_loss_iou: 0.2087 d1.loss_lmm_region: 0.1461 loss_lmm_image: 0.7737 +2024/11/08 03:21:03 - mmengine - INFO - Iter(train) [ 78400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:44:17 time: 1.0227 data_time: 0.0181 memory: 23657 grad_norm: 25.7226 loss: 9.7444 loss_cls: 0.2775 loss_bbox: 0.1664 loss_iou: 0.2673 d0.loss_cls: 0.3189 d0.loss_bbox: 0.1760 d0.loss_iou: 0.2816 d1.loss_cls: 0.3001 d1.loss_bbox: 0.1736 d1.loss_iou: 0.2737 d2.loss_cls: 0.2908 d2.loss_bbox: 0.1679 d2.loss_iou: 0.2688 d3.loss_cls: 0.2868 d3.loss_bbox: 0.1642 d3.loss_iou: 0.2668 d4.loss_cls: 0.2796 d4.loss_bbox: 0.1660 d4.loss_iou: 0.2670 enc_loss_cls: 0.3395 enc_loss_bbox: 0.1902 enc_loss_iou: 0.3039 dn_loss_cls: 0.0842 dn_loss_bbox: 0.1947 dn_loss_iou: 0.2318 d0.dn_loss_cls: 0.1701 d0.dn_loss_bbox: 0.3544 d0.dn_loss_iou: 0.3857 d1.dn_loss_cls: 0.1179 d1.dn_loss_bbox: 0.2292 d1.dn_loss_iou: 0.2669 d2.dn_loss_cls: 0.1012 d2.dn_loss_bbox: 0.2024 d2.dn_loss_iou: 0.2411 d3.dn_loss_cls: 0.0902 d3.dn_loss_bbox: 0.1958 d3.dn_loss_iou: 0.2332 d4.dn_loss_cls: 0.0864 d4.dn_loss_bbox: 0.1946 d4.dn_loss_iou: 0.2318 d1.loss_lmm_region: 0.1341 loss_lmm_image: 0.7719 +2024/11/08 03:22:46 - mmengine - INFO - Iter(train) [ 78500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:42:31 time: 1.0214 data_time: 0.0182 memory: 23596 grad_norm: 23.7797 loss: 9.3771 loss_cls: 0.2752 loss_bbox: 0.1535 loss_iou: 0.2579 d0.loss_cls: 0.3082 d0.loss_bbox: 0.1675 d0.loss_iou: 0.2754 d1.loss_cls: 0.2955 d1.loss_bbox: 0.1556 d1.loss_iou: 0.2615 d2.loss_cls: 0.2862 d2.loss_bbox: 0.1522 d2.loss_iou: 0.2573 d3.loss_cls: 0.2838 d3.loss_bbox: 0.1497 d3.loss_iou: 0.2559 d4.loss_cls: 0.2780 d4.loss_bbox: 0.1514 d4.loss_iou: 0.2567 enc_loss_cls: 0.3324 enc_loss_bbox: 0.1727 enc_loss_iou: 0.2934 dn_loss_cls: 0.0966 dn_loss_bbox: 0.1833 dn_loss_iou: 0.2202 d0.dn_loss_cls: 0.1825 d0.dn_loss_bbox: 0.3265 d0.dn_loss_iou: 0.3582 d1.dn_loss_cls: 0.1257 d1.dn_loss_bbox: 0.2093 d1.dn_loss_iou: 0.2487 d2.dn_loss_cls: 0.1088 d2.dn_loss_bbox: 0.1891 d2.dn_loss_iou: 0.2274 d3.dn_loss_cls: 0.1014 d3.dn_loss_bbox: 0.1838 d3.dn_loss_iou: 0.2208 d4.dn_loss_cls: 0.0980 d4.dn_loss_bbox: 0.1832 d4.dn_loss_iou: 0.2201 d1.loss_lmm_region: 0.1293 loss_lmm_image: 0.7437 +2024/11/08 03:24:29 - mmengine - INFO - Iter(train) [ 78600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:40:45 time: 1.0282 data_time: 0.0181 memory: 23888 grad_norm: 22.0042 loss: 10.5643 loss_cls: 0.3518 loss_bbox: 0.1657 loss_iou: 0.3117 d0.loss_cls: 0.3759 d0.loss_bbox: 0.1786 d0.loss_iou: 0.3381 d1.loss_cls: 0.3618 d1.loss_bbox: 0.1708 d1.loss_iou: 0.3236 d2.loss_cls: 0.3570 d2.loss_bbox: 0.1655 d2.loss_iou: 0.3131 d3.loss_cls: 0.3561 d3.loss_bbox: 0.1622 d3.loss_iou: 0.3092 d4.loss_cls: 0.3522 d4.loss_bbox: 0.1658 d4.loss_iou: 0.3121 enc_loss_cls: 0.3950 enc_loss_bbox: 0.1908 enc_loss_iou: 0.3633 dn_loss_cls: 0.0950 dn_loss_bbox: 0.1734 dn_loss_iou: 0.2427 d0.dn_loss_cls: 0.1799 d0.dn_loss_bbox: 0.3480 d0.dn_loss_iou: 0.4087 d1.dn_loss_cls: 0.1251 d1.dn_loss_bbox: 0.2127 d1.dn_loss_iou: 0.2822 d2.dn_loss_cls: 0.1097 d2.dn_loss_bbox: 0.1802 d2.dn_loss_iou: 0.2525 d3.dn_loss_cls: 0.0994 d3.dn_loss_bbox: 0.1738 d3.dn_loss_iou: 0.2445 d4.dn_loss_cls: 0.0947 d4.dn_loss_bbox: 0.1733 d4.dn_loss_iou: 0.2427 d1.loss_lmm_region: 0.1434 loss_lmm_image: 0.7617 +2024/11/08 03:26:11 - mmengine - INFO - Iter(train) [ 78700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:39:00 time: 1.0322 data_time: 0.0181 memory: 24316 grad_norm: 25.6383 loss: 9.4949 loss_cls: 0.2683 loss_bbox: 0.1396 loss_iou: 0.2535 d0.loss_cls: 0.3089 d0.loss_bbox: 0.1545 d0.loss_iou: 0.2706 d1.loss_cls: 0.2891 d1.loss_bbox: 0.1449 d1.loss_iou: 0.2594 d2.loss_cls: 0.2828 d2.loss_bbox: 0.1390 d2.loss_iou: 0.2512 d3.loss_cls: 0.2781 d3.loss_bbox: 0.1381 d3.loss_iou: 0.2501 d4.loss_cls: 0.2700 d4.loss_bbox: 0.1393 d4.loss_iou: 0.2527 enc_loss_cls: 0.3267 enc_loss_bbox: 0.1700 enc_loss_iou: 0.2906 dn_loss_cls: 0.0880 dn_loss_bbox: 0.2040 dn_loss_iou: 0.2306 d0.dn_loss_cls: 0.1782 d0.dn_loss_bbox: 0.3808 d0.dn_loss_iou: 0.3919 d1.dn_loss_cls: 0.1238 d1.dn_loss_bbox: 0.2422 d1.dn_loss_iou: 0.2664 d2.dn_loss_cls: 0.1052 d2.dn_loss_bbox: 0.2142 d2.dn_loss_iou: 0.2395 d3.dn_loss_cls: 0.0946 d3.dn_loss_bbox: 0.2048 d3.dn_loss_iou: 0.2317 d4.dn_loss_cls: 0.0886 d4.dn_loss_bbox: 0.2042 d4.dn_loss_iou: 0.2306 d1.loss_lmm_region: 0.1358 loss_lmm_image: 0.7624 +2024/11/08 03:27:54 - mmengine - INFO - Iter(train) [ 78800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:37:14 time: 1.0265 data_time: 0.0181 memory: 23735 grad_norm: 20.0408 loss: 9.7461 loss_cls: 0.2899 loss_bbox: 0.1544 loss_iou: 0.2808 d0.loss_cls: 0.3092 d0.loss_bbox: 0.1755 d0.loss_iou: 0.2976 d1.loss_cls: 0.3023 d1.loss_bbox: 0.1565 d1.loss_iou: 0.2867 d2.loss_cls: 0.2958 d2.loss_bbox: 0.1558 d2.loss_iou: 0.2826 d3.loss_cls: 0.2861 d3.loss_bbox: 0.1591 d3.loss_iou: 0.2822 d4.loss_cls: 0.2885 d4.loss_bbox: 0.1559 d4.loss_iou: 0.2809 enc_loss_cls: 0.3328 enc_loss_bbox: 0.1815 enc_loss_iou: 0.3103 dn_loss_cls: 0.0862 dn_loss_bbox: 0.1929 dn_loss_iou: 0.2354 d0.dn_loss_cls: 0.1620 d0.dn_loss_bbox: 0.3425 d0.dn_loss_iou: 0.3801 d1.dn_loss_cls: 0.1144 d1.dn_loss_bbox: 0.2263 d1.dn_loss_iou: 0.2640 d2.dn_loss_cls: 0.0998 d2.dn_loss_bbox: 0.2032 d2.dn_loss_iou: 0.2430 d3.dn_loss_cls: 0.0900 d3.dn_loss_bbox: 0.1934 d3.dn_loss_iou: 0.2358 d4.dn_loss_cls: 0.0858 d4.dn_loss_bbox: 0.1931 d4.dn_loss_iou: 0.2354 d1.loss_lmm_region: 0.1135 loss_lmm_image: 0.7846 +2024/11/08 03:29:37 - mmengine - INFO - Iter(train) [ 78900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:35:28 time: 1.0294 data_time: 0.0182 memory: 23690 grad_norm: 21.4074 loss: 8.8635 loss_cls: 0.2750 loss_bbox: 0.1340 loss_iou: 0.2439 d0.loss_cls: 0.3213 d0.loss_bbox: 0.1416 d0.loss_iou: 0.2572 d1.loss_cls: 0.3030 d1.loss_bbox: 0.1364 d1.loss_iou: 0.2490 d2.loss_cls: 0.2891 d2.loss_bbox: 0.1361 d2.loss_iou: 0.2458 d3.loss_cls: 0.2809 d3.loss_bbox: 0.1350 d3.loss_iou: 0.2446 d4.loss_cls: 0.2765 d4.loss_bbox: 0.1349 d4.loss_iou: 0.2447 enc_loss_cls: 0.3465 enc_loss_bbox: 0.1582 enc_loss_iou: 0.2773 dn_loss_cls: 0.0692 dn_loss_bbox: 0.1571 dn_loss_iou: 0.2038 d0.dn_loss_cls: 0.1549 d0.dn_loss_bbox: 0.3039 d0.dn_loss_iou: 0.3447 d1.dn_loss_cls: 0.0977 d1.dn_loss_bbox: 0.1860 d1.dn_loss_iou: 0.2342 d2.dn_loss_cls: 0.0803 d2.dn_loss_bbox: 0.1649 d2.dn_loss_iou: 0.2116 d3.dn_loss_cls: 0.0745 d3.dn_loss_bbox: 0.1582 d3.dn_loss_iou: 0.2053 d4.dn_loss_cls: 0.0697 d4.dn_loss_bbox: 0.1570 d4.dn_loss_iou: 0.2035 d1.loss_lmm_region: 0.1252 loss_lmm_image: 0.8309 +2024/11/08 03:31:19 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/08 03:31:19 - mmengine - INFO - Iter(train) [ 79000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:33:42 time: 1.0176 data_time: 0.0181 memory: 24353 grad_norm: 21.0740 loss: 9.0719 loss_cls: 0.2367 loss_bbox: 0.1392 loss_iou: 0.2578 d0.loss_cls: 0.2655 d0.loss_bbox: 0.1463 d0.loss_iou: 0.2647 d1.loss_cls: 0.2516 d1.loss_bbox: 0.1375 d1.loss_iou: 0.2576 d2.loss_cls: 0.2465 d2.loss_bbox: 0.1359 d2.loss_iou: 0.2561 d3.loss_cls: 0.2448 d3.loss_bbox: 0.1373 d3.loss_iou: 0.2572 d4.loss_cls: 0.2407 d4.loss_bbox: 0.1371 d4.loss_iou: 0.2567 enc_loss_cls: 0.2916 enc_loss_bbox: 0.1512 enc_loss_iou: 0.2766 dn_loss_cls: 0.0788 dn_loss_bbox: 0.1869 dn_loss_iou: 0.2329 d0.dn_loss_cls: 0.1705 d0.dn_loss_bbox: 0.3573 d0.dn_loss_iou: 0.3818 d1.dn_loss_cls: 0.1110 d1.dn_loss_bbox: 0.2209 d1.dn_loss_iou: 0.2650 d2.dn_loss_cls: 0.0935 d2.dn_loss_bbox: 0.1947 d2.dn_loss_iou: 0.2408 d3.dn_loss_cls: 0.0842 d3.dn_loss_bbox: 0.1869 d3.dn_loss_iou: 0.2338 d4.dn_loss_cls: 0.0804 d4.dn_loss_bbox: 0.1866 d4.dn_loss_iou: 0.2328 d1.loss_lmm_region: 0.1291 loss_lmm_image: 0.8151 +2024/11/08 03:33:02 - mmengine - INFO - Iter(train) [ 79100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:31:57 time: 1.0226 data_time: 0.0182 memory: 23669 grad_norm: 23.6959 loss: 9.6112 loss_cls: 0.2651 loss_bbox: 0.1545 loss_iou: 0.2803 d0.loss_cls: 0.2966 d0.loss_bbox: 0.1771 d0.loss_iou: 0.3034 d1.loss_cls: 0.2779 d1.loss_bbox: 0.1624 d1.loss_iou: 0.2885 d2.loss_cls: 0.2690 d2.loss_bbox: 0.1606 d2.loss_iou: 0.2835 d3.loss_cls: 0.2675 d3.loss_bbox: 0.1550 d3.loss_iou: 0.2810 d4.loss_cls: 0.2673 d4.loss_bbox: 0.1533 d4.loss_iou: 0.2797 enc_loss_cls: 0.3059 enc_loss_bbox: 0.1887 enc_loss_iou: 0.3225 dn_loss_cls: 0.0769 dn_loss_bbox: 0.1779 dn_loss_iou: 0.2474 d0.dn_loss_cls: 0.1670 d0.dn_loss_bbox: 0.3416 d0.dn_loss_iou: 0.4129 d1.dn_loss_cls: 0.1082 d1.dn_loss_bbox: 0.2114 d1.dn_loss_iou: 0.2825 d2.dn_loss_cls: 0.0944 d2.dn_loss_bbox: 0.1868 d2.dn_loss_iou: 0.2560 d3.dn_loss_cls: 0.0826 d3.dn_loss_bbox: 0.1793 d3.dn_loss_iou: 0.2487 d4.dn_loss_cls: 0.0778 d4.dn_loss_bbox: 0.1780 d4.dn_loss_iou: 0.2475 d1.loss_lmm_region: 0.1362 loss_lmm_image: 0.7583 +2024/11/08 03:34:44 - mmengine - INFO - Iter(train) [ 79200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:30:11 time: 1.0185 data_time: 0.0182 memory: 23339 grad_norm: 20.7488 loss: 9.2542 loss_cls: 0.2686 loss_bbox: 0.1359 loss_iou: 0.2482 d0.loss_cls: 0.3033 d0.loss_bbox: 0.1492 d0.loss_iou: 0.2705 d1.loss_cls: 0.2925 d1.loss_bbox: 0.1402 d1.loss_iou: 0.2586 d2.loss_cls: 0.2841 d2.loss_bbox: 0.1359 d2.loss_iou: 0.2504 d3.loss_cls: 0.2745 d3.loss_bbox: 0.1360 d3.loss_iou: 0.2491 d4.loss_cls: 0.2697 d4.loss_bbox: 0.1366 d4.loss_iou: 0.2487 enc_loss_cls: 0.3148 enc_loss_bbox: 0.1654 enc_loss_iou: 0.2935 dn_loss_cls: 0.0802 dn_loss_bbox: 0.1741 dn_loss_iou: 0.2349 d0.dn_loss_cls: 0.1731 d0.dn_loss_bbox: 0.3328 d0.dn_loss_iou: 0.3868 d1.dn_loss_cls: 0.1140 d1.dn_loss_bbox: 0.2038 d1.dn_loss_iou: 0.2687 d2.dn_loss_cls: 0.0961 d2.dn_loss_bbox: 0.1814 d2.dn_loss_iou: 0.2443 d3.dn_loss_cls: 0.0881 d3.dn_loss_bbox: 0.1759 d3.dn_loss_iou: 0.2367 d4.dn_loss_cls: 0.0817 d4.dn_loss_bbox: 0.1742 d4.dn_loss_iou: 0.2350 d1.loss_lmm_region: 0.1497 loss_lmm_image: 0.7966 +2024/11/08 03:36:27 - mmengine - INFO - Iter(train) [ 79300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:28:25 time: 1.0242 data_time: 0.0182 memory: 24004 grad_norm: 20.5817 loss: 9.8793 loss_cls: 0.3314 loss_bbox: 0.1565 loss_iou: 0.2849 d0.loss_cls: 0.3736 d0.loss_bbox: 0.1697 d0.loss_iou: 0.3040 d1.loss_cls: 0.3546 d1.loss_bbox: 0.1609 d1.loss_iou: 0.2902 d2.loss_cls: 0.3447 d2.loss_bbox: 0.1557 d2.loss_iou: 0.2863 d3.loss_cls: 0.3388 d3.loss_bbox: 0.1583 d3.loss_iou: 0.2847 d4.loss_cls: 0.3313 d4.loss_bbox: 0.1579 d4.loss_iou: 0.2856 enc_loss_cls: 0.3937 enc_loss_bbox: 0.1797 enc_loss_iou: 0.3238 dn_loss_cls: 0.1067 dn_loss_bbox: 0.1510 dn_loss_iou: 0.2107 d0.dn_loss_cls: 0.1798 d0.dn_loss_bbox: 0.2842 d0.dn_loss_iou: 0.3549 d1.dn_loss_cls: 0.1315 d1.dn_loss_bbox: 0.1783 d1.dn_loss_iou: 0.2412 d2.dn_loss_cls: 0.1190 d2.dn_loss_bbox: 0.1590 d2.dn_loss_iou: 0.2186 d3.dn_loss_cls: 0.1119 d3.dn_loss_bbox: 0.1519 d3.dn_loss_iou: 0.2116 d4.dn_loss_cls: 0.1085 d4.dn_loss_bbox: 0.1510 d4.dn_loss_iou: 0.2107 d1.loss_lmm_region: 0.1335 loss_lmm_image: 0.7987 +2024/11/08 03:38:10 - mmengine - INFO - Iter(train) [ 79400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:26:40 time: 1.0359 data_time: 0.0182 memory: 23266 grad_norm: 26.0025 loss: 9.6564 loss_cls: 0.2892 loss_bbox: 0.1603 loss_iou: 0.2691 d0.loss_cls: 0.3245 d0.loss_bbox: 0.1601 d0.loss_iou: 0.2787 d1.loss_cls: 0.3097 d1.loss_bbox: 0.1583 d1.loss_iou: 0.2707 d2.loss_cls: 0.3036 d2.loss_bbox: 0.1567 d2.loss_iou: 0.2679 d3.loss_cls: 0.2962 d3.loss_bbox: 0.1582 d3.loss_iou: 0.2674 d4.loss_cls: 0.2928 d4.loss_bbox: 0.1592 d4.loss_iou: 0.2684 enc_loss_cls: 0.3378 enc_loss_bbox: 0.1784 enc_loss_iou: 0.2993 dn_loss_cls: 0.0905 dn_loss_bbox: 0.1746 dn_loss_iou: 0.2282 d0.dn_loss_cls: 0.1839 d0.dn_loss_bbox: 0.3477 d0.dn_loss_iou: 0.3797 d1.dn_loss_cls: 0.1250 d1.dn_loss_bbox: 0.2046 d1.dn_loss_iou: 0.2568 d2.dn_loss_cls: 0.1052 d2.dn_loss_bbox: 0.1805 d2.dn_loss_iou: 0.2354 d3.dn_loss_cls: 0.0949 d3.dn_loss_bbox: 0.1747 d3.dn_loss_iou: 0.2287 d4.dn_loss_cls: 0.0918 d4.dn_loss_bbox: 0.1746 d4.dn_loss_iou: 0.2282 d1.loss_lmm_region: 0.1768 loss_lmm_image: 0.7682 +2024/11/08 03:39:52 - mmengine - INFO - Iter(train) [ 79500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:24:54 time: 1.0135 data_time: 0.0182 memory: 24184 grad_norm: 27.0641 loss: 9.0425 loss_cls: 0.3218 loss_bbox: 0.1254 loss_iou: 0.2396 d0.loss_cls: 0.3616 d0.loss_bbox: 0.1369 d0.loss_iou: 0.2557 d1.loss_cls: 0.3377 d1.loss_bbox: 0.1320 d1.loss_iou: 0.2479 d2.loss_cls: 0.3360 d2.loss_bbox: 0.1227 d2.loss_iou: 0.2393 d3.loss_cls: 0.3339 d3.loss_bbox: 0.1212 d3.loss_iou: 0.2369 d4.loss_cls: 0.3215 d4.loss_bbox: 0.1245 d4.loss_iou: 0.2392 enc_loss_cls: 0.3750 enc_loss_bbox: 0.1532 enc_loss_iou: 0.2836 dn_loss_cls: 0.0834 dn_loss_bbox: 0.1437 dn_loss_iou: 0.2045 d0.dn_loss_cls: 0.1734 d0.dn_loss_bbox: 0.2822 d0.dn_loss_iou: 0.3455 d1.dn_loss_cls: 0.1172 d1.dn_loss_bbox: 0.1740 d1.dn_loss_iou: 0.2357 d2.dn_loss_cls: 0.0993 d2.dn_loss_bbox: 0.1493 d2.dn_loss_iou: 0.2122 d3.dn_loss_cls: 0.0894 d3.dn_loss_bbox: 0.1446 d3.dn_loss_iou: 0.2055 d4.dn_loss_cls: 0.0836 d4.dn_loss_bbox: 0.1437 d4.dn_loss_iou: 0.2045 d1.loss_lmm_region: 0.1305 loss_lmm_image: 0.7747 +2024/11/08 03:41:34 - mmengine - INFO - Iter(train) [ 79600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:23:07 time: 1.0098 data_time: 0.0181 memory: 23731 grad_norm: 21.4841 loss: 10.4177 loss_cls: 0.3190 loss_bbox: 0.1706 loss_iou: 0.3391 d0.loss_cls: 0.3583 d0.loss_bbox: 0.1825 d0.loss_iou: 0.3530 d1.loss_cls: 0.3392 d1.loss_bbox: 0.1736 d1.loss_iou: 0.3415 d2.loss_cls: 0.3339 d2.loss_bbox: 0.1682 d2.loss_iou: 0.3379 d3.loss_cls: 0.3278 d3.loss_bbox: 0.1710 d3.loss_iou: 0.3395 d4.loss_cls: 0.3217 d4.loss_bbox: 0.1694 d4.loss_iou: 0.3378 enc_loss_cls: 0.3734 enc_loss_bbox: 0.2011 enc_loss_iou: 0.3845 dn_loss_cls: 0.0801 dn_loss_bbox: 0.1677 dn_loss_iou: 0.2434 d0.dn_loss_cls: 0.1609 d0.dn_loss_bbox: 0.3258 d0.dn_loss_iou: 0.3990 d1.dn_loss_cls: 0.1087 d1.dn_loss_bbox: 0.2032 d1.dn_loss_iou: 0.2795 d2.dn_loss_cls: 0.0929 d2.dn_loss_bbox: 0.1778 d2.dn_loss_iou: 0.2538 d3.dn_loss_cls: 0.0853 d3.dn_loss_bbox: 0.1695 d3.dn_loss_iou: 0.2449 d4.dn_loss_cls: 0.0814 d4.dn_loss_bbox: 0.1676 d4.dn_loss_iou: 0.2434 d1.loss_lmm_region: 0.1156 loss_lmm_image: 0.7742 +2024/11/08 03:43:17 - mmengine - INFO - Iter(train) [ 79700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:21:22 time: 1.0258 data_time: 0.0182 memory: 23200 grad_norm: 23.1732 loss: 9.1301 loss_cls: 0.2654 loss_bbox: 0.1401 loss_iou: 0.2146 d0.loss_cls: 0.3047 d0.loss_bbox: 0.1511 d0.loss_iou: 0.2297 d1.loss_cls: 0.2889 d1.loss_bbox: 0.1398 d1.loss_iou: 0.2163 d2.loss_cls: 0.2745 d2.loss_bbox: 0.1394 d2.loss_iou: 0.2127 d3.loss_cls: 0.2693 d3.loss_bbox: 0.1395 d3.loss_iou: 0.2143 d4.loss_cls: 0.2643 d4.loss_bbox: 0.1412 d4.loss_iou: 0.2152 enc_loss_cls: 0.3131 enc_loss_bbox: 0.1689 enc_loss_iou: 0.2503 dn_loss_cls: 0.1150 dn_loss_bbox: 0.2016 dn_loss_iou: 0.2182 d0.dn_loss_cls: 0.1868 d0.dn_loss_bbox: 0.3445 d0.dn_loss_iou: 0.3623 d1.dn_loss_cls: 0.1342 d1.dn_loss_bbox: 0.2297 d1.dn_loss_iou: 0.2490 d2.dn_loss_cls: 0.1235 d2.dn_loss_bbox: 0.2084 d2.dn_loss_iou: 0.2249 d3.dn_loss_cls: 0.1152 d3.dn_loss_bbox: 0.2023 d3.dn_loss_iou: 0.2192 d4.dn_loss_cls: 0.1151 d4.dn_loss_bbox: 0.2016 d4.dn_loss_iou: 0.2183 d1.loss_lmm_region: 0.1377 loss_lmm_image: 0.7696 +2024/11/08 03:45:00 - mmengine - INFO - Iter(train) [ 79800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:19:37 time: 1.0216 data_time: 0.0181 memory: 22929 grad_norm: 23.7147 loss: 9.2664 loss_cls: 0.2916 loss_bbox: 0.1426 loss_iou: 0.2723 d0.loss_cls: 0.3260 d0.loss_bbox: 0.1550 d0.loss_iou: 0.2912 d1.loss_cls: 0.3077 d1.loss_bbox: 0.1488 d1.loss_iou: 0.2824 d2.loss_cls: 0.3026 d2.loss_bbox: 0.1437 d2.loss_iou: 0.2753 d3.loss_cls: 0.2977 d3.loss_bbox: 0.1435 d3.loss_iou: 0.2734 d4.loss_cls: 0.2905 d4.loss_bbox: 0.1437 d4.loss_iou: 0.2748 enc_loss_cls: 0.3386 enc_loss_bbox: 0.1731 enc_loss_iou: 0.3183 dn_loss_cls: 0.0729 dn_loss_bbox: 0.1552 dn_loss_iou: 0.2114 d0.dn_loss_cls: 0.1562 d0.dn_loss_bbox: 0.3092 d0.dn_loss_iou: 0.3581 d1.dn_loss_cls: 0.1022 d1.dn_loss_bbox: 0.1920 d1.dn_loss_iou: 0.2466 d2.dn_loss_cls: 0.0870 d2.dn_loss_bbox: 0.1673 d2.dn_loss_iou: 0.2208 d3.dn_loss_cls: 0.0785 d3.dn_loss_bbox: 0.1566 d3.dn_loss_iou: 0.2132 d4.dn_loss_cls: 0.0733 d4.dn_loss_bbox: 0.1549 d4.dn_loss_iou: 0.2113 d1.loss_lmm_region: 0.1325 loss_lmm_image: 0.7745 +2024/11/08 03:46:42 - mmengine - INFO - Iter(train) [ 79900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:17:50 time: 1.0273 data_time: 0.0182 memory: 23711 grad_norm: 21.5188 loss: 8.8283 loss_cls: 0.2792 loss_bbox: 0.1176 loss_iou: 0.2144 d0.loss_cls: 0.3083 d0.loss_bbox: 0.1346 d0.loss_iou: 0.2290 d1.loss_cls: 0.2907 d1.loss_bbox: 0.1278 d1.loss_iou: 0.2242 d2.loss_cls: 0.2804 d2.loss_bbox: 0.1250 d2.loss_iou: 0.2192 d3.loss_cls: 0.2814 d3.loss_bbox: 0.1195 d3.loss_iou: 0.2148 d4.loss_cls: 0.2792 d4.loss_bbox: 0.1174 d4.loss_iou: 0.2145 enc_loss_cls: 0.3257 enc_loss_bbox: 0.1495 enc_loss_iou: 0.2501 dn_loss_cls: 0.1043 dn_loss_bbox: 0.1641 dn_loss_iou: 0.2061 d0.dn_loss_cls: 0.1768 d0.dn_loss_bbox: 0.3204 d0.dn_loss_iou: 0.3561 d1.dn_loss_cls: 0.1288 d1.dn_loss_bbox: 0.2006 d1.dn_loss_iou: 0.2398 d2.dn_loss_cls: 0.1173 d2.dn_loss_bbox: 0.1728 d2.dn_loss_iou: 0.2145 d3.dn_loss_cls: 0.1098 d3.dn_loss_bbox: 0.1655 d3.dn_loss_iou: 0.2077 d4.dn_loss_cls: 0.1055 d4.dn_loss_bbox: 0.1640 d4.dn_loss_iou: 0.2060 d1.loss_lmm_region: 0.1551 loss_lmm_image: 0.8105 +2024/11/08 03:48:24 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/08 03:48:24 - mmengine - INFO - Iter(train) [ 80000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:16:04 time: 1.0159 data_time: 0.0180 memory: 23063 grad_norm: 20.3096 loss: 9.8259 loss_cls: 0.2913 loss_bbox: 0.1554 loss_iou: 0.2785 d0.loss_cls: 0.3296 d0.loss_bbox: 0.1665 d0.loss_iou: 0.2927 d1.loss_cls: 0.3099 d1.loss_bbox: 0.1563 d1.loss_iou: 0.2823 d2.loss_cls: 0.3036 d2.loss_bbox: 0.1532 d2.loss_iou: 0.2777 d3.loss_cls: 0.2969 d3.loss_bbox: 0.1526 d3.loss_iou: 0.2778 d4.loss_cls: 0.2922 d4.loss_bbox: 0.1543 d4.loss_iou: 0.2771 enc_loss_cls: 0.3423 enc_loss_bbox: 0.1833 enc_loss_iou: 0.3162 dn_loss_cls: 0.0846 dn_loss_bbox: 0.1818 dn_loss_iou: 0.2437 d0.dn_loss_cls: 0.1625 d0.dn_loss_bbox: 0.3407 d0.dn_loss_iou: 0.3910 d1.dn_loss_cls: 0.1130 d1.dn_loss_bbox: 0.2202 d1.dn_loss_iou: 0.2774 d2.dn_loss_cls: 0.0953 d2.dn_loss_bbox: 0.1927 d2.dn_loss_iou: 0.2524 d3.dn_loss_cls: 0.0887 d3.dn_loss_bbox: 0.1836 d3.dn_loss_iou: 0.2454 d4.dn_loss_cls: 0.0847 d4.dn_loss_bbox: 0.1817 d4.dn_loss_iou: 0.2436 d1.loss_lmm_region: 0.1309 loss_lmm_image: 0.8222 +2024/11/08 03:50:06 - mmengine - INFO - Iter(train) [ 80100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:14:18 time: 1.0308 data_time: 0.0182 memory: 22906 grad_norm: 22.9730 loss: 9.8913 loss_cls: 0.3163 loss_bbox: 0.1456 loss_iou: 0.2684 d0.loss_cls: 0.3535 d0.loss_bbox: 0.1614 d0.loss_iou: 0.2997 d1.loss_cls: 0.3406 d1.loss_bbox: 0.1518 d1.loss_iou: 0.2802 d2.loss_cls: 0.3348 d2.loss_bbox: 0.1470 d2.loss_iou: 0.2705 d3.loss_cls: 0.3263 d3.loss_bbox: 0.1452 d3.loss_iou: 0.2701 d4.loss_cls: 0.3184 d4.loss_bbox: 0.1457 d4.loss_iou: 0.2686 enc_loss_cls: 0.3754 enc_loss_bbox: 0.1757 enc_loss_iou: 0.3212 dn_loss_cls: 0.0957 dn_loss_bbox: 0.1749 dn_loss_iou: 0.2342 d0.dn_loss_cls: 0.1794 d0.dn_loss_bbox: 0.3274 d0.dn_loss_iou: 0.3901 d1.dn_loss_cls: 0.1277 d1.dn_loss_bbox: 0.2062 d1.dn_loss_iou: 0.2677 d2.dn_loss_cls: 0.1101 d2.dn_loss_bbox: 0.1831 d2.dn_loss_iou: 0.2422 d3.dn_loss_cls: 0.0998 d3.dn_loss_bbox: 0.1766 d3.dn_loss_iou: 0.2359 d4.dn_loss_cls: 0.0957 d4.dn_loss_bbox: 0.1751 d4.dn_loss_iou: 0.2342 d1.loss_lmm_region: 0.1413 loss_lmm_image: 0.7777 +2024/11/08 03:51:49 - mmengine - INFO - Iter(train) [ 80200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:12:33 time: 1.0159 data_time: 0.0182 memory: 23045 grad_norm: 22.4852 loss: 7.9842 loss_cls: 0.2516 loss_bbox: 0.1036 loss_iou: 0.1941 d0.loss_cls: 0.2691 d0.loss_bbox: 0.1182 d0.loss_iou: 0.2126 d1.loss_cls: 0.2621 d1.loss_bbox: 0.1130 d1.loss_iou: 0.2070 d2.loss_cls: 0.2487 d2.loss_bbox: 0.1063 d2.loss_iou: 0.2015 d3.loss_cls: 0.2611 d3.loss_bbox: 0.1010 d3.loss_iou: 0.1930 d4.loss_cls: 0.2530 d4.loss_bbox: 0.1036 d4.loss_iou: 0.1947 enc_loss_cls: 0.2961 enc_loss_bbox: 0.1340 enc_loss_iou: 0.2399 dn_loss_cls: 0.0926 dn_loss_bbox: 0.1434 dn_loss_iou: 0.1856 d0.dn_loss_cls: 0.1572 d0.dn_loss_bbox: 0.2823 d0.dn_loss_iou: 0.3281 d1.dn_loss_cls: 0.1173 d1.dn_loss_bbox: 0.1712 d1.dn_loss_iou: 0.2166 d2.dn_loss_cls: 0.1044 d2.dn_loss_bbox: 0.1481 d2.dn_loss_iou: 0.1927 d3.dn_loss_cls: 0.0968 d3.dn_loss_bbox: 0.1441 d3.dn_loss_iou: 0.1868 d4.dn_loss_cls: 0.0930 d4.dn_loss_bbox: 0.1432 d4.dn_loss_iou: 0.1855 d1.loss_lmm_region: 0.1127 loss_lmm_image: 0.8184 +2024/11/08 03:53:30 - mmengine - INFO - Iter(train) [ 80300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:10:46 time: 1.0130 data_time: 0.0183 memory: 22931 grad_norm: 23.5640 loss: 10.5429 loss_cls: 0.3172 loss_bbox: 0.1751 loss_iou: 0.3071 d0.loss_cls: 0.3557 d0.loss_bbox: 0.1943 d0.loss_iou: 0.3285 d1.loss_cls: 0.3385 d1.loss_bbox: 0.1841 d1.loss_iou: 0.3165 d2.loss_cls: 0.3324 d2.loss_bbox: 0.1717 d2.loss_iou: 0.3053 d3.loss_cls: 0.3255 d3.loss_bbox: 0.1717 d3.loss_iou: 0.3042 d4.loss_cls: 0.3183 d4.loss_bbox: 0.1747 d4.loss_iou: 0.3074 enc_loss_cls: 0.3779 enc_loss_bbox: 0.2110 enc_loss_iou: 0.3549 dn_loss_cls: 0.0931 dn_loss_bbox: 0.1978 dn_loss_iou: 0.2469 d0.dn_loss_cls: 0.1825 d0.dn_loss_bbox: 0.3595 d0.dn_loss_iou: 0.4052 d1.dn_loss_cls: 0.1282 d1.dn_loss_bbox: 0.2363 d1.dn_loss_iou: 0.2874 d2.dn_loss_cls: 0.1055 d2.dn_loss_bbox: 0.2060 d2.dn_loss_iou: 0.2573 d3.dn_loss_cls: 0.0977 d3.dn_loss_bbox: 0.1989 d3.dn_loss_iou: 0.2485 d4.dn_loss_cls: 0.0940 d4.dn_loss_bbox: 0.1978 d4.dn_loss_iou: 0.2468 d1.loss_lmm_region: 0.1433 loss_lmm_image: 0.7383 +2024/11/08 03:55:13 - mmengine - INFO - Iter(train) [ 80400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:09:00 time: 1.0209 data_time: 0.0182 memory: 24185 grad_norm: 21.1193 loss: 9.3819 loss_cls: 0.3106 loss_bbox: 0.1487 loss_iou: 0.2781 d0.loss_cls: 0.3520 d0.loss_bbox: 0.1539 d0.loss_iou: 0.2963 d1.loss_cls: 0.3295 d1.loss_bbox: 0.1499 d1.loss_iou: 0.2859 d2.loss_cls: 0.3292 d2.loss_bbox: 0.1433 d2.loss_iou: 0.2763 d3.loss_cls: 0.3200 d3.loss_bbox: 0.1456 d3.loss_iou: 0.2742 d4.loss_cls: 0.3115 d4.loss_bbox: 0.1518 d4.loss_iou: 0.2783 enc_loss_cls: 0.3574 enc_loss_bbox: 0.1733 enc_loss_iou: 0.3225 dn_loss_cls: 0.0673 dn_loss_bbox: 0.1511 dn_loss_iou: 0.2107 d0.dn_loss_cls: 0.1468 d0.dn_loss_bbox: 0.2852 d0.dn_loss_iou: 0.3531 d1.dn_loss_cls: 0.0953 d1.dn_loss_bbox: 0.1785 d1.dn_loss_iou: 0.2427 d2.dn_loss_cls: 0.0783 d2.dn_loss_bbox: 0.1559 d2.dn_loss_iou: 0.2183 d3.dn_loss_cls: 0.0711 d3.dn_loss_bbox: 0.1511 d3.dn_loss_iou: 0.2116 d4.dn_loss_cls: 0.0677 d4.dn_loss_bbox: 0.1510 d4.dn_loss_iou: 0.2107 d1.loss_lmm_region: 0.1311 loss_lmm_image: 0.8160 +2024/11/08 03:56:56 - mmengine - INFO - Iter(train) [ 80500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:07:15 time: 1.0160 data_time: 0.0182 memory: 23583 grad_norm: 21.9808 loss: 9.0162 loss_cls: 0.2761 loss_bbox: 0.1366 loss_iou: 0.2642 d0.loss_cls: 0.3011 d0.loss_bbox: 0.1588 d0.loss_iou: 0.2864 d1.loss_cls: 0.2871 d1.loss_bbox: 0.1478 d1.loss_iou: 0.2741 d2.loss_cls: 0.2856 d2.loss_bbox: 0.1393 d2.loss_iou: 0.2672 d3.loss_cls: 0.2815 d3.loss_bbox: 0.1386 d3.loss_iou: 0.2633 d4.loss_cls: 0.2779 d4.loss_bbox: 0.1363 d4.loss_iou: 0.2634 enc_loss_cls: 0.3199 enc_loss_bbox: 0.1743 enc_loss_iou: 0.3134 dn_loss_cls: 0.0601 dn_loss_bbox: 0.1541 dn_loss_iou: 0.2189 d0.dn_loss_cls: 0.1487 d0.dn_loss_bbox: 0.3096 d0.dn_loss_iou: 0.3690 d1.dn_loss_cls: 0.0886 d1.dn_loss_bbox: 0.1839 d1.dn_loss_iou: 0.2536 d2.dn_loss_cls: 0.0713 d2.dn_loss_bbox: 0.1618 d2.dn_loss_iou: 0.2290 d3.dn_loss_cls: 0.0636 d3.dn_loss_bbox: 0.1567 d3.dn_loss_iou: 0.2217 d4.dn_loss_cls: 0.0604 d4.dn_loss_bbox: 0.1543 d4.dn_loss_iou: 0.2190 d1.loss_lmm_region: 0.1375 loss_lmm_image: 0.7616 +2024/11/08 03:58:38 - mmengine - INFO - Iter(train) [ 80600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:05:29 time: 1.0307 data_time: 0.0182 memory: 24017 grad_norm: 25.4725 loss: 9.5178 loss_cls: 0.3260 loss_bbox: 0.1271 loss_iou: 0.2746 d0.loss_cls: 0.3657 d0.loss_bbox: 0.1471 d0.loss_iou: 0.3017 d1.loss_cls: 0.3481 d1.loss_bbox: 0.1338 d1.loss_iou: 0.2839 d2.loss_cls: 0.3395 d2.loss_bbox: 0.1283 d2.loss_iou: 0.2767 d3.loss_cls: 0.3310 d3.loss_bbox: 0.1280 d3.loss_iou: 0.2763 d4.loss_cls: 0.3287 d4.loss_bbox: 0.1271 d4.loss_iou: 0.2745 enc_loss_cls: 0.3888 enc_loss_bbox: 0.1523 enc_loss_iou: 0.3163 dn_loss_cls: 0.0935 dn_loss_bbox: 0.1381 dn_loss_iou: 0.2237 d0.dn_loss_cls: 0.1783 d0.dn_loss_bbox: 0.2718 d0.dn_loss_iou: 0.3712 d1.dn_loss_cls: 0.1231 d1.dn_loss_bbox: 0.1729 d1.dn_loss_iou: 0.2604 d2.dn_loss_cls: 0.1056 d2.dn_loss_bbox: 0.1483 d2.dn_loss_iou: 0.2341 d3.dn_loss_cls: 0.0980 d3.dn_loss_bbox: 0.1393 d3.dn_loss_iou: 0.2249 d4.dn_loss_cls: 0.0936 d4.dn_loss_bbox: 0.1381 d4.dn_loss_iou: 0.2236 d1.loss_lmm_region: 0.1235 loss_lmm_image: 0.7799 +2024/11/08 04:00:20 - mmengine - INFO - Iter(train) [ 80700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:03:43 time: 1.0247 data_time: 0.0181 memory: 23607 grad_norm: 23.9374 loss: 9.1512 loss_cls: 0.2766 loss_bbox: 0.1343 loss_iou: 0.2492 d0.loss_cls: 0.3187 d0.loss_bbox: 0.1452 d0.loss_iou: 0.2634 d1.loss_cls: 0.2950 d1.loss_bbox: 0.1386 d1.loss_iou: 0.2530 d2.loss_cls: 0.2836 d2.loss_bbox: 0.1373 d2.loss_iou: 0.2523 d3.loss_cls: 0.2821 d3.loss_bbox: 0.1353 d3.loss_iou: 0.2506 d4.loss_cls: 0.2786 d4.loss_bbox: 0.1336 d4.loss_iou: 0.2477 enc_loss_cls: 0.3367 enc_loss_bbox: 0.1621 enc_loss_iou: 0.2889 dn_loss_cls: 0.0817 dn_loss_bbox: 0.1582 dn_loss_iou: 0.2185 d0.dn_loss_cls: 0.1794 d0.dn_loss_bbox: 0.3210 d0.dn_loss_iou: 0.3808 d1.dn_loss_cls: 0.1192 d1.dn_loss_bbox: 0.1969 d1.dn_loss_iou: 0.2583 d2.dn_loss_cls: 0.0989 d2.dn_loss_bbox: 0.1664 d2.dn_loss_iou: 0.2281 d3.dn_loss_cls: 0.0891 d3.dn_loss_bbox: 0.1599 d3.dn_loss_iou: 0.2203 d4.dn_loss_cls: 0.0831 d4.dn_loss_bbox: 0.1582 d4.dn_loss_iou: 0.2186 d1.loss_lmm_region: 0.1618 loss_lmm_image: 0.7902 +2024/11/08 04:02:04 - mmengine - INFO - Iter(train) [ 80800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:01:58 time: 1.0328 data_time: 0.0182 memory: 24340 grad_norm: 26.4635 loss: 9.1053 loss_cls: 0.2899 loss_bbox: 0.1275 loss_iou: 0.2751 d0.loss_cls: 0.3176 d0.loss_bbox: 0.1392 d0.loss_iou: 0.2909 d1.loss_cls: 0.3034 d1.loss_bbox: 0.1306 d1.loss_iou: 0.2822 d2.loss_cls: 0.2966 d2.loss_bbox: 0.1305 d2.loss_iou: 0.2778 d3.loss_cls: 0.2959 d3.loss_bbox: 0.1303 d3.loss_iou: 0.2768 d4.loss_cls: 0.2917 d4.loss_bbox: 0.1268 d4.loss_iou: 0.2748 enc_loss_cls: 0.3445 enc_loss_bbox: 0.1526 enc_loss_iou: 0.3077 dn_loss_cls: 0.0756 dn_loss_bbox: 0.1362 dn_loss_iou: 0.2172 d0.dn_loss_cls: 0.1719 d0.dn_loss_bbox: 0.2918 d0.dn_loss_iou: 0.3683 d1.dn_loss_cls: 0.1078 d1.dn_loss_bbox: 0.1668 d1.dn_loss_iou: 0.2489 d2.dn_loss_cls: 0.0896 d2.dn_loss_bbox: 0.1425 d2.dn_loss_iou: 0.2251 d3.dn_loss_cls: 0.0813 d3.dn_loss_bbox: 0.1375 d3.dn_loss_iou: 0.2187 d4.dn_loss_cls: 0.0761 d4.dn_loss_bbox: 0.1364 d4.dn_loss_iou: 0.2175 d1.loss_lmm_region: 0.1419 loss_lmm_image: 0.7921 +2024/11/08 04:03:46 - mmengine - INFO - Iter(train) [ 80900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:00:12 time: 1.0176 data_time: 0.0181 memory: 23765 grad_norm: 26.6746 loss: 9.6180 loss_cls: 0.2915 loss_bbox: 0.1460 loss_iou: 0.2396 d0.loss_cls: 0.3277 d0.loss_bbox: 0.1674 d0.loss_iou: 0.2600 d1.loss_cls: 0.3068 d1.loss_bbox: 0.1508 d1.loss_iou: 0.2455 d2.loss_cls: 0.2999 d2.loss_bbox: 0.1479 d2.loss_iou: 0.2430 d3.loss_cls: 0.2930 d3.loss_bbox: 0.1479 d3.loss_iou: 0.2426 d4.loss_cls: 0.2913 d4.loss_bbox: 0.1475 d4.loss_iou: 0.2418 enc_loss_cls: 0.3428 enc_loss_bbox: 0.1787 enc_loss_iou: 0.2793 dn_loss_cls: 0.0816 dn_loss_bbox: 0.2053 dn_loss_iou: 0.2406 d0.dn_loss_cls: 0.1686 d0.dn_loss_bbox: 0.3674 d0.dn_loss_iou: 0.4015 d1.dn_loss_cls: 0.1101 d1.dn_loss_bbox: 0.2376 d1.dn_loss_iou: 0.2757 d2.dn_loss_cls: 0.0931 d2.dn_loss_bbox: 0.2114 d2.dn_loss_iou: 0.2497 d3.dn_loss_cls: 0.0871 d3.dn_loss_bbox: 0.2055 d3.dn_loss_iou: 0.2420 d4.dn_loss_cls: 0.0828 d4.dn_loss_bbox: 0.2053 d4.dn_loss_iou: 0.2407 d1.loss_lmm_region: 0.1387 loss_lmm_image: 0.7820 +2024/11/08 04:05:28 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/08 04:05:28 - mmengine - INFO - Iter(train) [ 81000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:58:26 time: 1.0305 data_time: 0.0180 memory: 24135 grad_norm: 22.7607 loss: 9.0833 loss_cls: 0.2651 loss_bbox: 0.1442 loss_iou: 0.2578 d0.loss_cls: 0.3037 d0.loss_bbox: 0.1508 d0.loss_iou: 0.2685 d1.loss_cls: 0.2885 d1.loss_bbox: 0.1438 d1.loss_iou: 0.2573 d2.loss_cls: 0.2767 d2.loss_bbox: 0.1402 d2.loss_iou: 0.2546 d3.loss_cls: 0.2734 d3.loss_bbox: 0.1404 d3.loss_iou: 0.2530 d4.loss_cls: 0.2652 d4.loss_bbox: 0.1443 d4.loss_iou: 0.2562 enc_loss_cls: 0.3252 enc_loss_bbox: 0.1640 enc_loss_iou: 0.2888 dn_loss_cls: 0.0869 dn_loss_bbox: 0.1623 dn_loss_iou: 0.2237 d0.dn_loss_cls: 0.1724 d0.dn_loss_bbox: 0.3075 d0.dn_loss_iou: 0.3743 d1.dn_loss_cls: 0.1175 d1.dn_loss_bbox: 0.1912 d1.dn_loss_iou: 0.2561 d2.dn_loss_cls: 0.1021 d2.dn_loss_bbox: 0.1692 d2.dn_loss_iou: 0.2315 d3.dn_loss_cls: 0.0929 d3.dn_loss_bbox: 0.1631 d3.dn_loss_iou: 0.2250 d4.dn_loss_cls: 0.0867 d4.dn_loss_bbox: 0.1623 d4.dn_loss_iou: 0.2236 d1.loss_lmm_region: 0.1280 loss_lmm_image: 0.7454 +2024/11/08 04:07:11 - mmengine - INFO - Iter(train) [ 81100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:56:41 time: 1.0263 data_time: 0.0181 memory: 22574 grad_norm: nan loss: 8.5151 loss_cls: 0.2500 loss_bbox: 0.1280 loss_iou: 0.2218 d0.loss_cls: 0.2812 d0.loss_bbox: 0.1401 d0.loss_iou: 0.2392 d1.loss_cls: 0.2654 d1.loss_bbox: 0.1286 d1.loss_iou: 0.2270 d2.loss_cls: 0.2586 d2.loss_bbox: 0.1248 d2.loss_iou: 0.2213 d3.loss_cls: 0.2553 d3.loss_bbox: 0.1267 d3.loss_iou: 0.2209 d4.loss_cls: 0.2508 d4.loss_bbox: 0.1274 d4.loss_iou: 0.2205 enc_loss_cls: 0.3009 enc_loss_bbox: 0.1537 enc_loss_iou: 0.2573 dn_loss_cls: 0.0689 dn_loss_bbox: 0.1609 dn_loss_iou: 0.2204 d0.dn_loss_cls: 0.1460 d0.dn_loss_bbox: 0.3248 d0.dn_loss_iou: 0.3750 d1.dn_loss_cls: 0.0930 d1.dn_loss_bbox: 0.1952 d1.dn_loss_iou: 0.2531 d2.dn_loss_cls: 0.0798 d2.dn_loss_bbox: 0.1700 d2.dn_loss_iou: 0.2278 d3.dn_loss_cls: 0.0722 d3.dn_loss_bbox: 0.1625 d3.dn_loss_iou: 0.2216 d4.dn_loss_cls: 0.0687 d4.dn_loss_bbox: 0.1610 d4.dn_loss_iou: 0.2204 d1.loss_lmm_region: 0.1247 loss_lmm_image: 0.7696 +2024/11/08 04:08:54 - mmengine - INFO - Iter(train) [ 81200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:54:56 time: 1.0330 data_time: 0.0183 memory: 24496 grad_norm: 21.2998 loss: 10.3334 loss_cls: 0.3222 loss_bbox: 0.1602 loss_iou: 0.2926 d0.loss_cls: 0.3679 d0.loss_bbox: 0.1736 d0.loss_iou: 0.3123 d1.loss_cls: 0.3542 d1.loss_bbox: 0.1558 d1.loss_iou: 0.2935 d2.loss_cls: 0.3403 d2.loss_bbox: 0.1565 d2.loss_iou: 0.2920 d3.loss_cls: 0.3318 d3.loss_bbox: 0.1557 d3.loss_iou: 0.2890 d4.loss_cls: 0.3232 d4.loss_bbox: 0.1592 d4.loss_iou: 0.2922 enc_loss_cls: 0.3867 enc_loss_bbox: 0.1820 enc_loss_iou: 0.3294 dn_loss_cls: 0.0891 dn_loss_bbox: 0.1956 dn_loss_iou: 0.2433 d0.dn_loss_cls: 0.1844 d0.dn_loss_bbox: 0.3444 d0.dn_loss_iou: 0.3934 d1.dn_loss_cls: 0.1268 d1.dn_loss_bbox: 0.2260 d1.dn_loss_iou: 0.2769 d2.dn_loss_cls: 0.1065 d2.dn_loss_bbox: 0.2047 d2.dn_loss_iou: 0.2522 d3.dn_loss_cls: 0.0944 d3.dn_loss_bbox: 0.1969 d3.dn_loss_iou: 0.2447 d4.dn_loss_cls: 0.0898 d4.dn_loss_bbox: 0.1956 d4.dn_loss_iou: 0.2433 d1.loss_lmm_region: 0.1393 loss_lmm_image: 0.8155 +2024/11/08 04:10:37 - mmengine - INFO - Iter(train) [ 81300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:53:10 time: 1.0272 data_time: 0.0180 memory: 23604 grad_norm: 21.1180 loss: 9.8790 loss_cls: 0.2896 loss_bbox: 0.1611 loss_iou: 0.2666 d0.loss_cls: 0.3159 d0.loss_bbox: 0.1732 d0.loss_iou: 0.2871 d1.loss_cls: 0.3068 d1.loss_bbox: 0.1593 d1.loss_iou: 0.2697 d2.loss_cls: 0.2978 d2.loss_bbox: 0.1605 d2.loss_iou: 0.2657 d3.loss_cls: 0.2949 d3.loss_bbox: 0.1588 d3.loss_iou: 0.2653 d4.loss_cls: 0.2907 d4.loss_bbox: 0.1586 d4.loss_iou: 0.2648 enc_loss_cls: 0.3427 enc_loss_bbox: 0.1748 enc_loss_iou: 0.2957 dn_loss_cls: 0.1015 dn_loss_bbox: 0.1899 dn_loss_iou: 0.2342 d0.dn_loss_cls: 0.1938 d0.dn_loss_bbox: 0.3596 d0.dn_loss_iou: 0.3970 d1.dn_loss_cls: 0.1334 d1.dn_loss_bbox: 0.2257 d1.dn_loss_iou: 0.2693 d2.dn_loss_cls: 0.1162 d2.dn_loss_bbox: 0.2006 d2.dn_loss_iou: 0.2434 d3.dn_loss_cls: 0.1079 d3.dn_loss_bbox: 0.1918 d3.dn_loss_iou: 0.2355 d4.dn_loss_cls: 0.1021 d4.dn_loss_bbox: 0.1900 d4.dn_loss_iou: 0.2343 d1.loss_lmm_region: 0.1531 loss_lmm_image: 0.8000 +2024/11/08 04:12:19 - mmengine - INFO - Iter(train) [ 81400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:51:24 time: 1.0233 data_time: 0.0181 memory: 23600 grad_norm: 23.0232 loss: 9.9168 loss_cls: 0.3224 loss_bbox: 0.1483 loss_iou: 0.2822 d0.loss_cls: 0.3725 d0.loss_bbox: 0.1648 d0.loss_iou: 0.2965 d1.loss_cls: 0.3444 d1.loss_bbox: 0.1586 d1.loss_iou: 0.2903 d2.loss_cls: 0.3444 d2.loss_bbox: 0.1462 d2.loss_iou: 0.2800 d3.loss_cls: 0.3344 d3.loss_bbox: 0.1461 d3.loss_iou: 0.2773 d4.loss_cls: 0.3269 d4.loss_bbox: 0.1457 d4.loss_iou: 0.2783 enc_loss_cls: 0.3861 enc_loss_bbox: 0.1780 enc_loss_iou: 0.3259 dn_loss_cls: 0.0854 dn_loss_bbox: 0.1621 dn_loss_iou: 0.2276 d0.dn_loss_cls: 0.1709 d0.dn_loss_bbox: 0.3188 d0.dn_loss_iou: 0.3849 d1.dn_loss_cls: 0.1150 d1.dn_loss_bbox: 0.1980 d1.dn_loss_iou: 0.2633 d2.dn_loss_cls: 0.0975 d2.dn_loss_bbox: 0.1742 d2.dn_loss_iou: 0.2382 d3.dn_loss_cls: 0.0913 d3.dn_loss_bbox: 0.1644 d3.dn_loss_iou: 0.2302 d4.dn_loss_cls: 0.0869 d4.dn_loss_bbox: 0.1623 d4.dn_loss_iou: 0.2275 d1.loss_lmm_region: 0.1224 loss_lmm_image: 0.8465 +2024/11/08 04:14:03 - mmengine - INFO - Iter(train) [ 81500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:49:40 time: 1.0400 data_time: 0.0182 memory: 24809 grad_norm: 20.6399 loss: 9.3426 loss_cls: 0.2757 loss_bbox: 0.1390 loss_iou: 0.2709 d0.loss_cls: 0.3120 d0.loss_bbox: 0.1560 d0.loss_iou: 0.2887 d1.loss_cls: 0.2888 d1.loss_bbox: 0.1468 d1.loss_iou: 0.2786 d2.loss_cls: 0.2816 d2.loss_bbox: 0.1424 d2.loss_iou: 0.2729 d3.loss_cls: 0.2798 d3.loss_bbox: 0.1429 d3.loss_iou: 0.2720 d4.loss_cls: 0.2776 d4.loss_bbox: 0.1390 d4.loss_iou: 0.2705 enc_loss_cls: 0.3323 enc_loss_bbox: 0.1711 enc_loss_iou: 0.3093 dn_loss_cls: 0.0775 dn_loss_bbox: 0.1615 dn_loss_iou: 0.2251 d0.dn_loss_cls: 0.1624 d0.dn_loss_bbox: 0.3159 d0.dn_loss_iou: 0.3769 d1.dn_loss_cls: 0.1149 d1.dn_loss_bbox: 0.1986 d1.dn_loss_iou: 0.2603 d2.dn_loss_cls: 0.0957 d2.dn_loss_bbox: 0.1712 d2.dn_loss_iou: 0.2347 d3.dn_loss_cls: 0.0856 d3.dn_loss_bbox: 0.1629 d3.dn_loss_iou: 0.2263 d4.dn_loss_cls: 0.0785 d4.dn_loss_bbox: 0.1615 d4.dn_loss_iou: 0.2251 d1.loss_lmm_region: 0.1330 loss_lmm_image: 0.8272 +2024/11/08 04:15:45 - mmengine - INFO - Iter(train) [ 81600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:47:54 time: 1.0181 data_time: 0.0182 memory: 23061 grad_norm: 23.8654 loss: 10.1658 loss_cls: 0.3394 loss_bbox: 0.1561 loss_iou: 0.2982 d0.loss_cls: 0.3772 d0.loss_bbox: 0.1713 d0.loss_iou: 0.3174 d1.loss_cls: 0.3597 d1.loss_bbox: 0.1626 d1.loss_iou: 0.3056 d2.loss_cls: 0.3491 d2.loss_bbox: 0.1543 d2.loss_iou: 0.2972 d3.loss_cls: 0.3456 d3.loss_bbox: 0.1531 d3.loss_iou: 0.2976 d4.loss_cls: 0.3412 d4.loss_bbox: 0.1549 d4.loss_iou: 0.2969 enc_loss_cls: 0.3945 enc_loss_bbox: 0.1842 enc_loss_iou: 0.3410 dn_loss_cls: 0.1354 dn_loss_bbox: 0.1550 dn_loss_iou: 0.2098 d0.dn_loss_cls: 0.1812 d0.dn_loss_bbox: 0.2881 d0.dn_loss_iou: 0.3503 d1.dn_loss_cls: 0.1367 d1.dn_loss_bbox: 0.1852 d1.dn_loss_iou: 0.2418 d2.dn_loss_cls: 0.1284 d2.dn_loss_bbox: 0.1614 d2.dn_loss_iou: 0.2182 d3.dn_loss_cls: 0.1279 d3.dn_loss_bbox: 0.1564 d3.dn_loss_iou: 0.2115 d4.dn_loss_cls: 0.1329 d4.dn_loss_bbox: 0.1551 d4.dn_loss_iou: 0.2097 d1.loss_lmm_region: 0.1579 loss_lmm_image: 0.8255 +2024/11/08 04:17:27 - mmengine - INFO - Iter(train) [ 81700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:46:08 time: 1.0277 data_time: 0.0186 memory: 23714 grad_norm: 22.3095 loss: 10.2108 loss_cls: 0.3479 loss_bbox: 0.1621 loss_iou: 0.3180 d0.loss_cls: 0.3906 d0.loss_bbox: 0.1737 d0.loss_iou: 0.3360 d1.loss_cls: 0.3736 d1.loss_bbox: 0.1640 d1.loss_iou: 0.3238 d2.loss_cls: 0.3577 d2.loss_bbox: 0.1640 d2.loss_iou: 0.3223 d3.loss_cls: 0.3513 d3.loss_bbox: 0.1622 d3.loss_iou: 0.3207 d4.loss_cls: 0.3485 d4.loss_bbox: 0.1614 d4.loss_iou: 0.3191 enc_loss_cls: 0.4100 enc_loss_bbox: 0.1834 enc_loss_iou: 0.3543 dn_loss_cls: 0.0834 dn_loss_bbox: 0.1613 dn_loss_iou: 0.2124 d0.dn_loss_cls: 0.1662 d0.dn_loss_bbox: 0.2952 d0.dn_loss_iou: 0.3509 d1.dn_loss_cls: 0.1132 d1.dn_loss_bbox: 0.1909 d1.dn_loss_iou: 0.2462 d2.dn_loss_cls: 0.0938 d2.dn_loss_bbox: 0.1676 d2.dn_loss_iou: 0.2200 d3.dn_loss_cls: 0.0865 d3.dn_loss_bbox: 0.1609 d3.dn_loss_iou: 0.2138 d4.dn_loss_cls: 0.0839 d4.dn_loss_bbox: 0.1612 d4.dn_loss_iou: 0.2122 d1.loss_lmm_region: 0.1320 loss_lmm_image: 0.8145 +2024/11/08 04:19:10 - mmengine - INFO - Iter(train) [ 81800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:44:23 time: 1.0323 data_time: 0.0182 memory: 24499 grad_norm: 23.4572 loss: 9.5487 loss_cls: 0.2994 loss_bbox: 0.1441 loss_iou: 0.2711 d0.loss_cls: 0.3505 d0.loss_bbox: 0.1488 d0.loss_iou: 0.2841 d1.loss_cls: 0.3215 d1.loss_bbox: 0.1468 d1.loss_iou: 0.2797 d2.loss_cls: 0.3120 d2.loss_bbox: 0.1441 d2.loss_iou: 0.2733 d3.loss_cls: 0.3046 d3.loss_bbox: 0.1454 d3.loss_iou: 0.2717 d4.loss_cls: 0.2996 d4.loss_bbox: 0.1443 d4.loss_iou: 0.2717 enc_loss_cls: 0.3591 enc_loss_bbox: 0.1686 enc_loss_iou: 0.3129 dn_loss_cls: 0.0802 dn_loss_bbox: 0.1619 dn_loss_iou: 0.2244 d0.dn_loss_cls: 0.1671 d0.dn_loss_bbox: 0.3201 d0.dn_loss_iou: 0.3757 d1.dn_loss_cls: 0.1120 d1.dn_loss_bbox: 0.1971 d1.dn_loss_iou: 0.2570 d2.dn_loss_cls: 0.0971 d2.dn_loss_bbox: 0.1718 d2.dn_loss_iou: 0.2339 d3.dn_loss_cls: 0.0866 d3.dn_loss_bbox: 0.1619 d3.dn_loss_iou: 0.2250 d4.dn_loss_cls: 0.0807 d4.dn_loss_bbox: 0.1619 d4.dn_loss_iou: 0.2243 d1.loss_lmm_region: 0.1300 loss_lmm_image: 0.8267 +2024/11/08 04:20:53 - mmengine - INFO - Iter(train) [ 81900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:42:37 time: 1.0303 data_time: 0.0183 memory: 24326 grad_norm: 22.3941 loss: 10.0300 loss_cls: 0.3163 loss_bbox: 0.1533 loss_iou: 0.2898 d0.loss_cls: 0.3511 d0.loss_bbox: 0.1676 d0.loss_iou: 0.3034 d1.loss_cls: 0.3349 d1.loss_bbox: 0.1632 d1.loss_iou: 0.2982 d2.loss_cls: 0.3234 d2.loss_bbox: 0.1594 d2.loss_iou: 0.2929 d3.loss_cls: 0.3223 d3.loss_bbox: 0.1572 d3.loss_iou: 0.2917 d4.loss_cls: 0.3163 d4.loss_bbox: 0.1561 d4.loss_iou: 0.2909 enc_loss_cls: 0.3737 enc_loss_bbox: 0.1794 enc_loss_iou: 0.3239 dn_loss_cls: 0.0991 dn_loss_bbox: 0.1606 dn_loss_iou: 0.2416 d0.dn_loss_cls: 0.1943 d0.dn_loss_bbox: 0.3216 d0.dn_loss_iou: 0.4068 d1.dn_loss_cls: 0.1302 d1.dn_loss_bbox: 0.1981 d1.dn_loss_iou: 0.2792 d2.dn_loss_cls: 0.1135 d2.dn_loss_bbox: 0.1694 d2.dn_loss_iou: 0.2512 d3.dn_loss_cls: 0.1033 d3.dn_loss_bbox: 0.1618 d3.dn_loss_iou: 0.2430 d4.dn_loss_cls: 0.0998 d4.dn_loss_bbox: 0.1606 d4.dn_loss_iou: 0.2416 d1.loss_lmm_region: 0.1475 loss_lmm_image: 0.7417 +2024/11/08 04:22:35 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/08 04:22:35 - mmengine - INFO - Iter(train) [ 82000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:40:52 time: 1.0317 data_time: 0.0182 memory: 22847 grad_norm: 20.7211 loss: 9.4846 loss_cls: 0.2870 loss_bbox: 0.1540 loss_iou: 0.2807 d0.loss_cls: 0.3228 d0.loss_bbox: 0.1650 d0.loss_iou: 0.2995 d1.loss_cls: 0.3015 d1.loss_bbox: 0.1575 d1.loss_iou: 0.2905 d2.loss_cls: 0.2985 d2.loss_bbox: 0.1530 d2.loss_iou: 0.2822 d3.loss_cls: 0.2964 d3.loss_bbox: 0.1511 d3.loss_iou: 0.2780 d4.loss_cls: 0.2884 d4.loss_bbox: 0.1535 d4.loss_iou: 0.2797 enc_loss_cls: 0.3341 enc_loss_bbox: 0.1902 enc_loss_iou: 0.3225 dn_loss_cls: 0.0890 dn_loss_bbox: 0.1656 dn_loss_iou: 0.2203 d0.dn_loss_cls: 0.1736 d0.dn_loss_bbox: 0.3096 d0.dn_loss_iou: 0.3603 d1.dn_loss_cls: 0.1167 d1.dn_loss_bbox: 0.1901 d1.dn_loss_iou: 0.2470 d2.dn_loss_cls: 0.1014 d2.dn_loss_bbox: 0.1731 d2.dn_loss_iou: 0.2265 d3.dn_loss_cls: 0.0935 d3.dn_loss_bbox: 0.1662 d3.dn_loss_iou: 0.2213 d4.dn_loss_cls: 0.0908 d4.dn_loss_bbox: 0.1656 d4.dn_loss_iou: 0.2202 d1.loss_lmm_region: 0.1318 loss_lmm_image: 0.7358 +2024/11/08 04:24:17 - mmengine - INFO - Iter(train) [ 82100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:39:05 time: 1.0195 data_time: 0.0182 memory: 23602 grad_norm: 21.4359 loss: 9.2434 loss_cls: 0.2897 loss_bbox: 0.1403 loss_iou: 0.2757 d0.loss_cls: 0.3232 d0.loss_bbox: 0.1585 d0.loss_iou: 0.2938 d1.loss_cls: 0.3082 d1.loss_bbox: 0.1516 d1.loss_iou: 0.2851 d2.loss_cls: 0.2998 d2.loss_bbox: 0.1473 d2.loss_iou: 0.2785 d3.loss_cls: 0.2962 d3.loss_bbox: 0.1420 d3.loss_iou: 0.2751 d4.loss_cls: 0.2955 d4.loss_bbox: 0.1338 d4.loss_iou: 0.2734 enc_loss_cls: 0.3473 enc_loss_bbox: 0.1731 enc_loss_iou: 0.3133 dn_loss_cls: 0.0670 dn_loss_bbox: 0.1543 dn_loss_iou: 0.2208 d0.dn_loss_cls: 0.1559 d0.dn_loss_bbox: 0.2820 d0.dn_loss_iou: 0.3629 d1.dn_loss_cls: 0.0973 d1.dn_loss_bbox: 0.1818 d1.dn_loss_iou: 0.2519 d2.dn_loss_cls: 0.0831 d2.dn_loss_bbox: 0.1605 d2.dn_loss_iou: 0.2278 d3.dn_loss_cls: 0.0732 d3.dn_loss_bbox: 0.1547 d3.dn_loss_iou: 0.2220 d4.dn_loss_cls: 0.0671 d4.dn_loss_bbox: 0.1541 d4.dn_loss_iou: 0.2207 d1.loss_lmm_region: 0.1203 loss_lmm_image: 0.7847 +2024/11/08 04:26:00 - mmengine - INFO - Iter(train) [ 82200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:37:20 time: 1.0249 data_time: 0.0182 memory: 24632 grad_norm: 21.5558 loss: 9.1019 loss_cls: 0.2944 loss_bbox: 0.1395 loss_iou: 0.2489 d0.loss_cls: 0.3258 d0.loss_bbox: 0.1524 d0.loss_iou: 0.2711 d1.loss_cls: 0.3081 d1.loss_bbox: 0.1452 d1.loss_iou: 0.2589 d2.loss_cls: 0.3007 d2.loss_bbox: 0.1395 d2.loss_iou: 0.2517 d3.loss_cls: 0.3074 d3.loss_bbox: 0.1337 d3.loss_iou: 0.2463 d4.loss_cls: 0.2994 d4.loss_bbox: 0.1347 d4.loss_iou: 0.2462 enc_loss_cls: 0.3432 enc_loss_bbox: 0.1637 enc_loss_iou: 0.2941 dn_loss_cls: 0.0820 dn_loss_bbox: 0.1510 dn_loss_iou: 0.2097 d0.dn_loss_cls: 0.1695 d0.dn_loss_bbox: 0.2838 d0.dn_loss_iou: 0.3517 d1.dn_loss_cls: 0.1176 d1.dn_loss_bbox: 0.1866 d1.dn_loss_iou: 0.2427 d2.dn_loss_cls: 0.0977 d2.dn_loss_bbox: 0.1635 d2.dn_loss_iou: 0.2208 d3.dn_loss_cls: 0.0880 d3.dn_loss_bbox: 0.1539 d3.dn_loss_iou: 0.2121 d4.dn_loss_cls: 0.0843 d4.dn_loss_bbox: 0.1511 d4.dn_loss_iou: 0.2097 d1.loss_lmm_region: 0.1225 loss_lmm_image: 0.7988 +2024/11/08 04:27:41 - mmengine - INFO - Iter(train) [ 82300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:35:33 time: 1.0150 data_time: 0.0181 memory: 23281 grad_norm: 28.3260 loss: 9.5374 loss_cls: 0.2808 loss_bbox: 0.1479 loss_iou: 0.2758 d0.loss_cls: 0.3138 d0.loss_bbox: 0.1638 d0.loss_iou: 0.2951 d1.loss_cls: 0.3014 d1.loss_bbox: 0.1522 d1.loss_iou: 0.2815 d2.loss_cls: 0.2910 d2.loss_bbox: 0.1495 d2.loss_iou: 0.2763 d3.loss_cls: 0.2843 d3.loss_bbox: 0.1491 d3.loss_iou: 0.2757 d4.loss_cls: 0.2825 d4.loss_bbox: 0.1474 d4.loss_iou: 0.2752 enc_loss_cls: 0.3288 enc_loss_bbox: 0.1765 enc_loss_iou: 0.3124 dn_loss_cls: 0.0856 dn_loss_bbox: 0.1735 dn_loss_iou: 0.2310 d0.dn_loss_cls: 0.1647 d0.dn_loss_bbox: 0.3256 d0.dn_loss_iou: 0.3794 d1.dn_loss_cls: 0.1120 d1.dn_loss_bbox: 0.2119 d1.dn_loss_iou: 0.2650 d2.dn_loss_cls: 0.0966 d2.dn_loss_bbox: 0.1840 d2.dn_loss_iou: 0.2390 d3.dn_loss_cls: 0.0885 d3.dn_loss_bbox: 0.1750 d3.dn_loss_iou: 0.2316 d4.dn_loss_cls: 0.0849 d4.dn_loss_bbox: 0.1735 d4.dn_loss_iou: 0.2308 d1.loss_lmm_region: 0.1214 loss_lmm_image: 0.8024 +2024/11/08 04:29:23 - mmengine - INFO - Iter(train) [ 82400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:33:47 time: 1.0196 data_time: 0.0181 memory: 23094 grad_norm: 20.5107 loss: 9.8943 loss_cls: 0.3429 loss_bbox: 0.1521 loss_iou: 0.2938 d0.loss_cls: 0.3808 d0.loss_bbox: 0.1684 d0.loss_iou: 0.3114 d1.loss_cls: 0.3602 d1.loss_bbox: 0.1605 d1.loss_iou: 0.2987 d2.loss_cls: 0.3514 d2.loss_bbox: 0.1569 d2.loss_iou: 0.2960 d3.loss_cls: 0.3475 d3.loss_bbox: 0.1535 d3.loss_iou: 0.2930 d4.loss_cls: 0.3438 d4.loss_bbox: 0.1521 d4.loss_iou: 0.2921 enc_loss_cls: 0.3922 enc_loss_bbox: 0.1910 enc_loss_iou: 0.3401 dn_loss_cls: 0.0702 dn_loss_bbox: 0.1448 dn_loss_iou: 0.2252 d0.dn_loss_cls: 0.1615 d0.dn_loss_bbox: 0.2902 d0.dn_loss_iou: 0.3785 d1.dn_loss_cls: 0.1037 d1.dn_loss_bbox: 0.1777 d1.dn_loss_iou: 0.2607 d2.dn_loss_cls: 0.0867 d2.dn_loss_bbox: 0.1549 d2.dn_loss_iou: 0.2345 d3.dn_loss_cls: 0.0755 d3.dn_loss_bbox: 0.1461 d3.dn_loss_iou: 0.2263 d4.dn_loss_cls: 0.0709 d4.dn_loss_bbox: 0.1448 d4.dn_loss_iou: 0.2253 d1.loss_lmm_region: 0.1323 loss_lmm_image: 0.8062 +2024/11/08 04:31:05 - mmengine - INFO - Iter(train) [ 82500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:32:01 time: 1.0184 data_time: 0.0182 memory: 23765 grad_norm: 22.5532 loss: 9.0905 loss_cls: 0.2809 loss_bbox: 0.1407 loss_iou: 0.2301 d0.loss_cls: 0.3106 d0.loss_bbox: 0.1550 d0.loss_iou: 0.2546 d1.loss_cls: 0.2995 d1.loss_bbox: 0.1397 d1.loss_iou: 0.2365 d2.loss_cls: 0.2928 d2.loss_bbox: 0.1368 d2.loss_iou: 0.2291 d3.loss_cls: 0.2863 d3.loss_bbox: 0.1387 d3.loss_iou: 0.2285 d4.loss_cls: 0.2823 d4.loss_bbox: 0.1400 d4.loss_iou: 0.2294 enc_loss_cls: 0.3288 enc_loss_bbox: 0.1676 enc_loss_iou: 0.2683 dn_loss_cls: 0.0925 dn_loss_bbox: 0.1694 dn_loss_iou: 0.2093 d0.dn_loss_cls: 0.1696 d0.dn_loss_bbox: 0.3397 d0.dn_loss_iou: 0.3670 d1.dn_loss_cls: 0.1208 d1.dn_loss_bbox: 0.2122 d1.dn_loss_iou: 0.2463 d2.dn_loss_cls: 0.1068 d2.dn_loss_bbox: 0.1800 d2.dn_loss_iou: 0.2190 d3.dn_loss_cls: 0.0961 d3.dn_loss_bbox: 0.1710 d3.dn_loss_iou: 0.2102 d4.dn_loss_cls: 0.0927 d4.dn_loss_bbox: 0.1693 d4.dn_loss_iou: 0.2093 d1.loss_lmm_region: 0.1420 loss_lmm_image: 0.7913 +2024/11/08 04:32:49 - mmengine - INFO - Iter(train) [ 82600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:30:17 time: 1.0296 data_time: 0.0181 memory: 22840 grad_norm: 20.1615 loss: 10.2274 loss_cls: 0.3149 loss_bbox: 0.1541 loss_iou: 0.2913 d0.loss_cls: 0.3489 d0.loss_bbox: 0.1707 d0.loss_iou: 0.3125 d1.loss_cls: 0.3308 d1.loss_bbox: 0.1640 d1.loss_iou: 0.3016 d2.loss_cls: 0.3213 d2.loss_bbox: 0.1602 d2.loss_iou: 0.2948 d3.loss_cls: 0.3147 d3.loss_bbox: 0.1577 d3.loss_iou: 0.2941 d4.loss_cls: 0.3150 d4.loss_bbox: 0.1550 d4.loss_iou: 0.2950 enc_loss_cls: 0.3645 enc_loss_bbox: 0.1795 enc_loss_iou: 0.3274 dn_loss_cls: 0.1105 dn_loss_bbox: 0.1749 dn_loss_iou: 0.2397 d0.dn_loss_cls: 0.1937 d0.dn_loss_bbox: 0.3351 d0.dn_loss_iou: 0.3944 d1.dn_loss_cls: 0.1422 d1.dn_loss_bbox: 0.2127 d1.dn_loss_iou: 0.2777 d2.dn_loss_cls: 0.1271 d2.dn_loss_bbox: 0.1836 d2.dn_loss_iou: 0.2487 d3.dn_loss_cls: 0.1162 d3.dn_loss_bbox: 0.1768 d3.dn_loss_iou: 0.2416 d4.dn_loss_cls: 0.1118 d4.dn_loss_bbox: 0.1748 d4.dn_loss_iou: 0.2396 d1.loss_lmm_region: 0.1563 loss_lmm_image: 0.8023 +2024/11/08 04:34:31 - mmengine - INFO - Iter(train) [ 82700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:28:31 time: 1.0252 data_time: 0.0182 memory: 23313 grad_norm: 20.1934 loss: 8.5119 loss_cls: 0.2621 loss_bbox: 0.1238 loss_iou: 0.2072 d0.loss_cls: 0.2903 d0.loss_bbox: 0.1370 d0.loss_iou: 0.2220 d1.loss_cls: 0.2760 d1.loss_bbox: 0.1333 d1.loss_iou: 0.2151 d2.loss_cls: 0.2696 d2.loss_bbox: 0.1273 d2.loss_iou: 0.2093 d3.loss_cls: 0.2671 d3.loss_bbox: 0.1236 d3.loss_iou: 0.2071 d4.loss_cls: 0.2609 d4.loss_bbox: 0.1241 d4.loss_iou: 0.2078 enc_loss_cls: 0.3117 enc_loss_bbox: 0.1508 enc_loss_iou: 0.2393 dn_loss_cls: 0.0906 dn_loss_bbox: 0.1551 dn_loss_iou: 0.1998 d0.dn_loss_cls: 0.1681 d0.dn_loss_bbox: 0.3021 d0.dn_loss_iou: 0.3378 d1.dn_loss_cls: 0.1173 d1.dn_loss_bbox: 0.1919 d1.dn_loss_iou: 0.2321 d2.dn_loss_cls: 0.1032 d2.dn_loss_bbox: 0.1638 d2.dn_loss_iou: 0.2082 d3.dn_loss_cls: 0.0962 d3.dn_loss_bbox: 0.1567 d3.dn_loss_iou: 0.2012 d4.dn_loss_cls: 0.0915 d4.dn_loss_bbox: 0.1550 d4.dn_loss_iou: 0.1998 d1.loss_lmm_region: 0.1457 loss_lmm_image: 0.8307 +2024/11/08 04:36:13 - mmengine - INFO - Iter(train) [ 82800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:26:45 time: 1.0270 data_time: 0.0182 memory: 23821 grad_norm: 23.7435 loss: 8.4442 loss_cls: 0.2709 loss_bbox: 0.1101 loss_iou: 0.2146 d0.loss_cls: 0.3024 d0.loss_bbox: 0.1357 d0.loss_iou: 0.2364 d1.loss_cls: 0.2855 d1.loss_bbox: 0.1238 d1.loss_iou: 0.2247 d2.loss_cls: 0.2770 d2.loss_bbox: 0.1182 d2.loss_iou: 0.2202 d3.loss_cls: 0.2718 d3.loss_bbox: 0.1150 d3.loss_iou: 0.2170 d4.loss_cls: 0.2714 d4.loss_bbox: 0.1109 d4.loss_iou: 0.2155 enc_loss_cls: 0.3228 enc_loss_bbox: 0.1456 enc_loss_iou: 0.2569 dn_loss_cls: 0.0750 dn_loss_bbox: 0.1540 dn_loss_iou: 0.1976 d0.dn_loss_cls: 0.1542 d0.dn_loss_bbox: 0.3141 d0.dn_loss_iou: 0.3416 d1.dn_loss_cls: 0.1021 d1.dn_loss_bbox: 0.1896 d1.dn_loss_iou: 0.2315 d2.dn_loss_cls: 0.0868 d2.dn_loss_bbox: 0.1672 d2.dn_loss_iou: 0.2073 d3.dn_loss_cls: 0.0789 d3.dn_loss_bbox: 0.1569 d3.dn_loss_iou: 0.1997 d4.dn_loss_cls: 0.0753 d4.dn_loss_bbox: 0.1539 d4.dn_loss_iou: 0.1974 d1.loss_lmm_region: 0.1123 loss_lmm_image: 0.8026 +2024/11/08 04:37:55 - mmengine - INFO - Iter(train) [ 82900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:25:00 time: 1.0252 data_time: 0.0182 memory: 24112 grad_norm: 26.3587 loss: 11.0738 loss_cls: 0.3709 loss_bbox: 0.1767 loss_iou: 0.3576 d0.loss_cls: 0.4235 d0.loss_bbox: 0.1906 d0.loss_iou: 0.3810 d1.loss_cls: 0.3972 d1.loss_bbox: 0.1845 d1.loss_iou: 0.3667 d2.loss_cls: 0.3930 d2.loss_bbox: 0.1772 d2.loss_iou: 0.3598 d3.loss_cls: 0.3776 d3.loss_bbox: 0.1760 d3.loss_iou: 0.3612 d4.loss_cls: 0.3723 d4.loss_bbox: 0.1770 d4.loss_iou: 0.3580 enc_loss_cls: 0.4441 enc_loss_bbox: 0.2057 enc_loss_iou: 0.4005 dn_loss_cls: 0.0925 dn_loss_bbox: 0.1677 dn_loss_iou: 0.2426 d0.dn_loss_cls: 0.1823 d0.dn_loss_bbox: 0.3064 d0.dn_loss_iou: 0.3912 d1.dn_loss_cls: 0.1228 d1.dn_loss_bbox: 0.1975 d1.dn_loss_iou: 0.2767 d2.dn_loss_cls: 0.1067 d2.dn_loss_bbox: 0.1744 d2.dn_loss_iou: 0.2507 d3.dn_loss_cls: 0.0979 d3.dn_loss_bbox: 0.1693 d3.dn_loss_iou: 0.2439 d4.dn_loss_cls: 0.0936 d4.dn_loss_bbox: 0.1678 d4.dn_loss_iou: 0.2426 d1.loss_lmm_region: 0.1247 loss_lmm_image: 0.7715 +2024/11/08 04:39:37 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/08 04:39:37 - mmengine - INFO - Iter(train) [ 83000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:23:14 time: 1.0109 data_time: 0.0183 memory: 24503 grad_norm: 21.4839 loss: 10.1451 loss_cls: 0.3521 loss_bbox: 0.1523 loss_iou: 0.2881 d0.loss_cls: 0.3823 d0.loss_bbox: 0.1763 d0.loss_iou: 0.3155 d1.loss_cls: 0.3694 d1.loss_bbox: 0.1589 d1.loss_iou: 0.2981 d2.loss_cls: 0.3582 d2.loss_bbox: 0.1539 d2.loss_iou: 0.2929 d3.loss_cls: 0.3564 d3.loss_bbox: 0.1494 d3.loss_iou: 0.2877 d4.loss_cls: 0.3550 d4.loss_bbox: 0.1487 d4.loss_iou: 0.2870 enc_loss_cls: 0.4020 enc_loss_bbox: 0.1899 enc_loss_iou: 0.3405 dn_loss_cls: 0.0812 dn_loss_bbox: 0.1628 dn_loss_iou: 0.2330 d0.dn_loss_cls: 0.1701 d0.dn_loss_bbox: 0.3044 d0.dn_loss_iou: 0.3771 d1.dn_loss_cls: 0.1085 d1.dn_loss_bbox: 0.1954 d1.dn_loss_iou: 0.2676 d2.dn_loss_cls: 0.0931 d2.dn_loss_bbox: 0.1697 d2.dn_loss_iou: 0.2412 d3.dn_loss_cls: 0.0848 d3.dn_loss_bbox: 0.1637 d3.dn_loss_iou: 0.2341 d4.dn_loss_cls: 0.0816 d4.dn_loss_bbox: 0.1628 d4.dn_loss_iou: 0.2328 d1.loss_lmm_region: 0.1389 loss_lmm_image: 0.8275 +2024/11/08 04:41:20 - mmengine - INFO - Iter(train) [ 83100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:21:28 time: 1.0184 data_time: 0.0183 memory: 23833 grad_norm: 22.4095 loss: 8.6624 loss_cls: 0.2667 loss_bbox: 0.1225 loss_iou: 0.2259 d0.loss_cls: 0.2905 d0.loss_bbox: 0.1352 d0.loss_iou: 0.2347 d1.loss_cls: 0.2714 d1.loss_bbox: 0.1285 d1.loss_iou: 0.2297 d2.loss_cls: 0.2708 d2.loss_bbox: 0.1221 d2.loss_iou: 0.2269 d3.loss_cls: 0.2697 d3.loss_bbox: 0.1205 d3.loss_iou: 0.2255 d4.loss_cls: 0.2658 d4.loss_bbox: 0.1220 d4.loss_iou: 0.2263 enc_loss_cls: 0.3078 enc_loss_bbox: 0.1463 enc_loss_iou: 0.2556 dn_loss_cls: 0.0848 dn_loss_bbox: 0.1669 dn_loss_iou: 0.2102 d0.dn_loss_cls: 0.1657 d0.dn_loss_bbox: 0.3049 d0.dn_loss_iou: 0.3414 d1.dn_loss_cls: 0.1108 d1.dn_loss_bbox: 0.2005 d1.dn_loss_iou: 0.2402 d2.dn_loss_cls: 0.0968 d2.dn_loss_bbox: 0.1750 d2.dn_loss_iou: 0.2178 d3.dn_loss_cls: 0.0887 d3.dn_loss_bbox: 0.1682 d3.dn_loss_iou: 0.2116 d4.dn_loss_cls: 0.0858 d4.dn_loss_bbox: 0.1670 d4.dn_loss_iou: 0.2101 d1.loss_lmm_region: 0.1438 loss_lmm_image: 0.8081 +2024/11/08 04:43:03 - mmengine - INFO - Iter(train) [ 83200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:19:43 time: 1.0290 data_time: 0.0181 memory: 23658 grad_norm: 20.6428 loss: 9.2565 loss_cls: 0.2784 loss_bbox: 0.1341 loss_iou: 0.2537 d0.loss_cls: 0.3212 d0.loss_bbox: 0.1461 d0.loss_iou: 0.2663 d1.loss_cls: 0.3032 d1.loss_bbox: 0.1338 d1.loss_iou: 0.2524 d2.loss_cls: 0.2857 d2.loss_bbox: 0.1369 d2.loss_iou: 0.2567 d3.loss_cls: 0.2823 d3.loss_bbox: 0.1357 d3.loss_iou: 0.2570 d4.loss_cls: 0.2788 d4.loss_bbox: 0.1345 d4.loss_iou: 0.2553 enc_loss_cls: 0.3336 enc_loss_bbox: 0.1592 enc_loss_iou: 0.2895 dn_loss_cls: 0.1144 dn_loss_bbox: 0.1611 dn_loss_iou: 0.2111 d0.dn_loss_cls: 0.1975 d0.dn_loss_bbox: 0.3192 d0.dn_loss_iou: 0.3665 d1.dn_loss_cls: 0.1462 d1.dn_loss_bbox: 0.1971 d1.dn_loss_iou: 0.2482 d2.dn_loss_cls: 0.1252 d2.dn_loss_bbox: 0.1693 d2.dn_loss_iou: 0.2205 d3.dn_loss_cls: 0.1197 d3.dn_loss_bbox: 0.1630 d3.dn_loss_iou: 0.2131 d4.dn_loss_cls: 0.1151 d4.dn_loss_bbox: 0.1612 d4.dn_loss_iou: 0.2113 d1.loss_lmm_region: 0.1253 loss_lmm_image: 0.7771 +2024/11/08 04:44:46 - mmengine - INFO - Iter(train) [ 83300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:17:58 time: 1.0273 data_time: 0.0181 memory: 23801 grad_norm: 23.2633 loss: 9.7861 loss_cls: 0.3385 loss_bbox: 0.1436 loss_iou: 0.2993 d0.loss_cls: 0.3794 d0.loss_bbox: 0.1488 d0.loss_iou: 0.3110 d1.loss_cls: 0.3602 d1.loss_bbox: 0.1420 d1.loss_iou: 0.2979 d2.loss_cls: 0.3500 d2.loss_bbox: 0.1435 d2.loss_iou: 0.3006 d3.loss_cls: 0.3460 d3.loss_bbox: 0.1396 d3.loss_iou: 0.2967 d4.loss_cls: 0.3415 d4.loss_bbox: 0.1429 d4.loss_iou: 0.2983 enc_loss_cls: 0.3916 enc_loss_bbox: 0.1644 enc_loss_iou: 0.3355 dn_loss_cls: 0.0727 dn_loss_bbox: 0.1510 dn_loss_iou: 0.2250 d0.dn_loss_cls: 0.1575 d0.dn_loss_bbox: 0.3015 d0.dn_loss_iou: 0.3724 d1.dn_loss_cls: 0.1092 d1.dn_loss_bbox: 0.1889 d1.dn_loss_iou: 0.2605 d2.dn_loss_cls: 0.0903 d2.dn_loss_bbox: 0.1586 d2.dn_loss_iou: 0.2334 d3.dn_loss_cls: 0.0779 d3.dn_loss_bbox: 0.1521 d3.dn_loss_iou: 0.2262 d4.dn_loss_cls: 0.0737 d4.dn_loss_bbox: 0.1511 d4.dn_loss_iou: 0.2248 d1.loss_lmm_region: 0.1283 loss_lmm_image: 0.7598 +2024/11/08 04:46:28 - mmengine - INFO - Iter(train) [ 83400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:16:12 time: 1.0246 data_time: 0.0181 memory: 23510 grad_norm: 24.0824 loss: 8.3730 loss_cls: 0.2567 loss_bbox: 0.1133 loss_iou: 0.2222 d0.loss_cls: 0.2906 d0.loss_bbox: 0.1297 d0.loss_iou: 0.2404 d1.loss_cls: 0.2674 d1.loss_bbox: 0.1253 d1.loss_iou: 0.2338 d2.loss_cls: 0.2649 d2.loss_bbox: 0.1123 d2.loss_iou: 0.2220 d3.loss_cls: 0.2604 d3.loss_bbox: 0.1124 d3.loss_iou: 0.2216 d4.loss_cls: 0.2581 d4.loss_bbox: 0.1134 d4.loss_iou: 0.2221 enc_loss_cls: 0.3094 enc_loss_bbox: 0.1412 enc_loss_iou: 0.2651 dn_loss_cls: 0.0719 dn_loss_bbox: 0.1455 dn_loss_iou: 0.2099 d0.dn_loss_cls: 0.1528 d0.dn_loss_bbox: 0.2968 d0.dn_loss_iou: 0.3641 d1.dn_loss_cls: 0.0976 d1.dn_loss_bbox: 0.1829 d1.dn_loss_iou: 0.2470 d2.dn_loss_cls: 0.0824 d2.dn_loss_bbox: 0.1562 d2.dn_loss_iou: 0.2199 d3.dn_loss_cls: 0.0746 d3.dn_loss_bbox: 0.1470 d3.dn_loss_iou: 0.2118 d4.dn_loss_cls: 0.0718 d4.dn_loss_bbox: 0.1455 d4.dn_loss_iou: 0.2097 d1.loss_lmm_region: 0.1194 loss_lmm_image: 0.7840 +2024/11/08 04:48:11 - mmengine - INFO - Iter(train) [ 83500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:14:27 time: 1.0200 data_time: 0.0181 memory: 24076 grad_norm: 22.2365 loss: 9.0331 loss_cls: 0.2928 loss_bbox: 0.1178 loss_iou: 0.2401 d0.loss_cls: 0.3214 d0.loss_bbox: 0.1325 d0.loss_iou: 0.2605 d1.loss_cls: 0.3059 d1.loss_bbox: 0.1251 d1.loss_iou: 0.2472 d2.loss_cls: 0.3011 d2.loss_bbox: 0.1186 d2.loss_iou: 0.2401 d3.loss_cls: 0.2960 d3.loss_bbox: 0.1177 d3.loss_iou: 0.2396 d4.loss_cls: 0.2940 d4.loss_bbox: 0.1176 d4.loss_iou: 0.2396 enc_loss_cls: 0.3376 enc_loss_bbox: 0.1477 enc_loss_iou: 0.2898 dn_loss_cls: 0.0764 dn_loss_bbox: 0.1564 dn_loss_iou: 0.2206 d0.dn_loss_cls: 0.1760 d0.dn_loss_bbox: 0.3192 d0.dn_loss_iou: 0.3784 d1.dn_loss_cls: 0.1076 d1.dn_loss_bbox: 0.1925 d1.dn_loss_iou: 0.2566 d2.dn_loss_cls: 0.0912 d2.dn_loss_bbox: 0.1653 d2.dn_loss_iou: 0.2297 d3.dn_loss_cls: 0.0831 d3.dn_loss_bbox: 0.1583 d3.dn_loss_iou: 0.2219 d4.dn_loss_cls: 0.0775 d4.dn_loss_bbox: 0.1563 d4.dn_loss_iou: 0.2206 d1.loss_lmm_region: 0.1353 loss_lmm_image: 0.8276 +2024/11/08 04:49:55 - mmengine - INFO - Iter(train) [ 83600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:12:42 time: 1.0393 data_time: 0.0182 memory: 23958 grad_norm: 26.1092 loss: 8.7985 loss_cls: 0.2523 loss_bbox: 0.1187 loss_iou: 0.2137 d0.loss_cls: 0.2793 d0.loss_bbox: 0.1286 d0.loss_iou: 0.2237 d1.loss_cls: 0.2641 d1.loss_bbox: 0.1245 d1.loss_iou: 0.2214 d2.loss_cls: 0.2598 d2.loss_bbox: 0.1186 d2.loss_iou: 0.2128 d3.loss_cls: 0.2592 d3.loss_bbox: 0.1178 d3.loss_iou: 0.2121 d4.loss_cls: 0.2527 d4.loss_bbox: 0.1175 d4.loss_iou: 0.2122 enc_loss_cls: 0.2945 enc_loss_bbox: 0.1426 enc_loss_iou: 0.2434 dn_loss_cls: 0.1336 dn_loss_bbox: 0.1760 dn_loss_iou: 0.2155 d0.dn_loss_cls: 0.1877 d0.dn_loss_bbox: 0.3458 d0.dn_loss_iou: 0.3645 d1.dn_loss_cls: 0.1411 d1.dn_loss_bbox: 0.2108 d1.dn_loss_iou: 0.2479 d2.dn_loss_cls: 0.1340 d2.dn_loss_bbox: 0.1844 d2.dn_loss_iou: 0.2236 d3.dn_loss_cls: 0.1306 d3.dn_loss_bbox: 0.1776 d3.dn_loss_iou: 0.2166 d4.dn_loss_cls: 0.1337 d4.dn_loss_bbox: 0.1760 d4.dn_loss_iou: 0.2155 d1.loss_lmm_region: 0.1334 loss_lmm_image: 0.7806 +2024/11/08 04:51:38 - mmengine - INFO - Iter(train) [ 83700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:10:58 time: 1.0321 data_time: 0.0182 memory: 22852 grad_norm: 22.3128 loss: 9.7390 loss_cls: 0.3019 loss_bbox: 0.1489 loss_iou: 0.2647 d0.loss_cls: 0.3430 d0.loss_bbox: 0.1620 d0.loss_iou: 0.2814 d1.loss_cls: 0.3277 d1.loss_bbox: 0.1481 d1.loss_iou: 0.2698 d2.loss_cls: 0.3210 d2.loss_bbox: 0.1411 d2.loss_iou: 0.2639 d3.loss_cls: 0.3166 d3.loss_bbox: 0.1403 d3.loss_iou: 0.2611 d4.loss_cls: 0.3024 d4.loss_bbox: 0.1483 d4.loss_iou: 0.2639 enc_loss_cls: 0.3617 enc_loss_bbox: 0.1703 enc_loss_iou: 0.3031 dn_loss_cls: 0.0912 dn_loss_bbox: 0.1787 dn_loss_iou: 0.2246 d0.dn_loss_cls: 0.1817 d0.dn_loss_bbox: 0.3362 d0.dn_loss_iou: 0.3760 d1.dn_loss_cls: 0.1272 d1.dn_loss_bbox: 0.2135 d1.dn_loss_iou: 0.2599 d2.dn_loss_cls: 0.1074 d2.dn_loss_bbox: 0.1872 d2.dn_loss_iou: 0.2340 d3.dn_loss_cls: 0.0965 d3.dn_loss_bbox: 0.1789 d3.dn_loss_iou: 0.2253 d4.dn_loss_cls: 0.0912 d4.dn_loss_bbox: 0.1787 d4.dn_loss_iou: 0.2243 d1.loss_lmm_region: 0.1410 loss_lmm_image: 0.8444 +2024/11/08 04:53:21 - mmengine - INFO - Iter(train) [ 83800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:09:13 time: 1.0416 data_time: 0.0182 memory: 23165 grad_norm: 22.0236 loss: 9.9968 loss_cls: 0.3068 loss_bbox: 0.1490 loss_iou: 0.2778 d0.loss_cls: 0.3500 d0.loss_bbox: 0.1628 d0.loss_iou: 0.2933 d1.loss_cls: 0.3345 d1.loss_bbox: 0.1528 d1.loss_iou: 0.2818 d2.loss_cls: 0.3201 d2.loss_bbox: 0.1507 d2.loss_iou: 0.2805 d3.loss_cls: 0.3129 d3.loss_bbox: 0.1480 d3.loss_iou: 0.2790 d4.loss_cls: 0.3093 d4.loss_bbox: 0.1478 d4.loss_iou: 0.2776 enc_loss_cls: 0.3684 enc_loss_bbox: 0.1770 enc_loss_iou: 0.3171 dn_loss_cls: 0.1049 dn_loss_bbox: 0.1728 dn_loss_iou: 0.2454 d0.dn_loss_cls: 0.1998 d0.dn_loss_bbox: 0.3291 d0.dn_loss_iou: 0.4052 d1.dn_loss_cls: 0.1359 d1.dn_loss_bbox: 0.2083 d1.dn_loss_iou: 0.2815 d2.dn_loss_cls: 0.1176 d2.dn_loss_bbox: 0.1837 d2.dn_loss_iou: 0.2556 d3.dn_loss_cls: 0.1099 d3.dn_loss_bbox: 0.1736 d3.dn_loss_iou: 0.2466 d4.dn_loss_cls: 0.1038 d4.dn_loss_bbox: 0.1728 d4.dn_loss_iou: 0.2452 d1.loss_lmm_region: 0.1493 loss_lmm_image: 0.7587 +2024/11/08 04:55:03 - mmengine - INFO - Iter(train) [ 83900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:07:26 time: 1.0168 data_time: 0.0183 memory: 24291 grad_norm: 22.0724 loss: 10.3510 loss_cls: 0.3542 loss_bbox: 0.1648 loss_iou: 0.2938 d0.loss_cls: 0.3991 d0.loss_bbox: 0.1839 d0.loss_iou: 0.3149 d1.loss_cls: 0.3785 d1.loss_bbox: 0.1696 d1.loss_iou: 0.3003 d2.loss_cls: 0.3710 d2.loss_bbox: 0.1633 d2.loss_iou: 0.2941 d3.loss_cls: 0.3605 d3.loss_bbox: 0.1643 d3.loss_iou: 0.2951 d4.loss_cls: 0.3551 d4.loss_bbox: 0.1648 d4.loss_iou: 0.2937 enc_loss_cls: 0.4183 enc_loss_bbox: 0.1954 enc_loss_iou: 0.3354 dn_loss_cls: 0.0857 dn_loss_bbox: 0.1731 dn_loss_iou: 0.2267 d0.dn_loss_cls: 0.1696 d0.dn_loss_bbox: 0.3310 d0.dn_loss_iou: 0.3743 d1.dn_loss_cls: 0.1166 d1.dn_loss_bbox: 0.2075 d1.dn_loss_iou: 0.2602 d2.dn_loss_cls: 0.1015 d2.dn_loss_bbox: 0.1812 d2.dn_loss_iou: 0.2352 d3.dn_loss_cls: 0.0905 d3.dn_loss_bbox: 0.1741 d3.dn_loss_iou: 0.2281 d4.dn_loss_cls: 0.0866 d4.dn_loss_bbox: 0.1732 d4.dn_loss_iou: 0.2268 d1.loss_lmm_region: 0.1414 loss_lmm_image: 0.7977 +2024/11/08 04:56:45 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/08 04:56:45 - mmengine - INFO - Iter(train) [ 84000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:05:41 time: 1.0272 data_time: 0.0181 memory: 24148 grad_norm: 21.7229 loss: 9.4551 loss_cls: 0.3085 loss_bbox: 0.1428 loss_iou: 0.2602 d0.loss_cls: 0.3521 d0.loss_bbox: 0.1590 d0.loss_iou: 0.2786 d1.loss_cls: 0.3310 d1.loss_bbox: 0.1496 d1.loss_iou: 0.2694 d2.loss_cls: 0.3201 d2.loss_bbox: 0.1434 d2.loss_iou: 0.2642 d3.loss_cls: 0.3190 d3.loss_bbox: 0.1401 d3.loss_iou: 0.2587 d4.loss_cls: 0.3132 d4.loss_bbox: 0.1416 d4.loss_iou: 0.2587 enc_loss_cls: 0.3527 enc_loss_bbox: 0.1775 enc_loss_iou: 0.3063 dn_loss_cls: 0.0851 dn_loss_bbox: 0.1668 dn_loss_iou: 0.2172 d0.dn_loss_cls: 0.1674 d0.dn_loss_bbox: 0.3223 d0.dn_loss_iou: 0.3674 d1.dn_loss_cls: 0.1160 d1.dn_loss_bbox: 0.2054 d1.dn_loss_iou: 0.2527 d2.dn_loss_cls: 0.0999 d2.dn_loss_bbox: 0.1746 d2.dn_loss_iou: 0.2254 d3.dn_loss_cls: 0.0906 d3.dn_loss_bbox: 0.1680 d3.dn_loss_iou: 0.2190 d4.dn_loss_cls: 0.0862 d4.dn_loss_bbox: 0.1669 d4.dn_loss_iou: 0.2172 d1.loss_lmm_region: 0.1116 loss_lmm_image: 0.7488 +2024/11/08 04:58:28 - mmengine - INFO - Iter(train) [ 84100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:03:55 time: 1.0192 data_time: 0.0181 memory: 23672 grad_norm: 22.2679 loss: 9.4831 loss_cls: 0.2921 loss_bbox: 0.1369 loss_iou: 0.2721 d0.loss_cls: 0.3251 d0.loss_bbox: 0.1501 d0.loss_iou: 0.2865 d1.loss_cls: 0.3085 d1.loss_bbox: 0.1405 d1.loss_iou: 0.2778 d2.loss_cls: 0.3020 d2.loss_bbox: 0.1371 d2.loss_iou: 0.2708 d3.loss_cls: 0.3029 d3.loss_bbox: 0.1331 d3.loss_iou: 0.2675 d4.loss_cls: 0.2964 d4.loss_bbox: 0.1350 d4.loss_iou: 0.2715 enc_loss_cls: 0.3422 enc_loss_bbox: 0.1729 enc_loss_iou: 0.3154 dn_loss_cls: 0.0767 dn_loss_bbox: 0.1598 dn_loss_iou: 0.2344 d0.dn_loss_cls: 0.1732 d0.dn_loss_bbox: 0.3160 d0.dn_loss_iou: 0.3931 d1.dn_loss_cls: 0.1140 d1.dn_loss_bbox: 0.1926 d1.dn_loss_iou: 0.2704 d2.dn_loss_cls: 0.0951 d2.dn_loss_bbox: 0.1665 d2.dn_loss_iou: 0.2429 d3.dn_loss_cls: 0.0827 d3.dn_loss_bbox: 0.1610 d3.dn_loss_iou: 0.2356 d4.dn_loss_cls: 0.0784 d4.dn_loss_bbox: 0.1598 d4.dn_loss_iou: 0.2343 d1.loss_lmm_region: 0.1195 loss_lmm_image: 0.8406 +2024/11/08 05:00:11 - mmengine - INFO - Iter(train) [ 84200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:02:10 time: 1.0267 data_time: 0.0181 memory: 24398 grad_norm: 23.0077 loss: 9.3078 loss_cls: 0.2951 loss_bbox: 0.1398 loss_iou: 0.2183 d0.loss_cls: 0.3181 d0.loss_bbox: 0.1606 d0.loss_iou: 0.2411 d1.loss_cls: 0.3062 d1.loss_bbox: 0.1516 d1.loss_iou: 0.2325 d2.loss_cls: 0.3017 d2.loss_bbox: 0.1427 d2.loss_iou: 0.2221 d3.loss_cls: 0.2975 d3.loss_bbox: 0.1411 d3.loss_iou: 0.2188 d4.loss_cls: 0.2949 d4.loss_bbox: 0.1405 d4.loss_iou: 0.2185 enc_loss_cls: 0.3496 enc_loss_bbox: 0.1528 enc_loss_iou: 0.2506 dn_loss_cls: 0.1058 dn_loss_bbox: 0.1831 dn_loss_iou: 0.2213 d0.dn_loss_cls: 0.1954 d0.dn_loss_bbox: 0.3524 d0.dn_loss_iou: 0.3867 d1.dn_loss_cls: 0.1370 d1.dn_loss_bbox: 0.2156 d1.dn_loss_iou: 0.2571 d2.dn_loss_cls: 0.1181 d2.dn_loss_bbox: 0.1922 d2.dn_loss_iou: 0.2313 d3.dn_loss_cls: 0.1112 d3.dn_loss_bbox: 0.1838 d3.dn_loss_iou: 0.2230 d4.dn_loss_cls: 0.1053 d4.dn_loss_bbox: 0.1831 d4.dn_loss_iou: 0.2213 d1.loss_lmm_region: 0.1378 loss_lmm_image: 0.7524 +2024/11/08 05:01:53 - mmengine - INFO - Iter(train) [ 84300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:00:25 time: 1.0276 data_time: 0.0182 memory: 23236 grad_norm: 20.5885 loss: 9.0947 loss_cls: 0.2779 loss_bbox: 0.1384 loss_iou: 0.2603 d0.loss_cls: 0.3111 d0.loss_bbox: 0.1521 d0.loss_iou: 0.2752 d1.loss_cls: 0.3013 d1.loss_bbox: 0.1386 d1.loss_iou: 0.2616 d2.loss_cls: 0.2913 d2.loss_bbox: 0.1408 d2.loss_iou: 0.2586 d3.loss_cls: 0.2872 d3.loss_bbox: 0.1370 d3.loss_iou: 0.2597 d4.loss_cls: 0.2797 d4.loss_bbox: 0.1395 d4.loss_iou: 0.2604 enc_loss_cls: 0.3269 enc_loss_bbox: 0.1606 enc_loss_iou: 0.2955 dn_loss_cls: 0.0714 dn_loss_bbox: 0.1676 dn_loss_iou: 0.2154 d0.dn_loss_cls: 0.1542 d0.dn_loss_bbox: 0.3229 d0.dn_loss_iou: 0.3618 d1.dn_loss_cls: 0.1001 d1.dn_loss_bbox: 0.2071 d1.dn_loss_iou: 0.2501 d2.dn_loss_cls: 0.0856 d2.dn_loss_bbox: 0.1807 d2.dn_loss_iou: 0.2257 d3.dn_loss_cls: 0.0759 d3.dn_loss_bbox: 0.1704 d3.dn_loss_iou: 0.2178 d4.dn_loss_cls: 0.0724 d4.dn_loss_bbox: 0.1678 d4.dn_loss_iou: 0.2156 d1.loss_lmm_region: 0.1375 loss_lmm_image: 0.7409 +2024/11/08 05:03:37 - mmengine - INFO - Iter(train) [ 84400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:58:40 time: 1.0273 data_time: 0.0183 memory: 23509 grad_norm: 21.9383 loss: 9.3938 loss_cls: 0.2954 loss_bbox: 0.1408 loss_iou: 0.2483 d0.loss_cls: 0.3238 d0.loss_bbox: 0.1604 d0.loss_iou: 0.2680 d1.loss_cls: 0.3050 d1.loss_bbox: 0.1485 d1.loss_iou: 0.2564 d2.loss_cls: 0.3004 d2.loss_bbox: 0.1425 d2.loss_iou: 0.2497 d3.loss_cls: 0.2992 d3.loss_bbox: 0.1399 d3.loss_iou: 0.2476 d4.loss_cls: 0.2959 d4.loss_bbox: 0.1403 d4.loss_iou: 0.2478 enc_loss_cls: 0.3391 enc_loss_bbox: 0.1677 enc_loss_iou: 0.2893 dn_loss_cls: 0.0870 dn_loss_bbox: 0.1721 dn_loss_iou: 0.2205 d0.dn_loss_cls: 0.1804 d0.dn_loss_bbox: 0.3339 d0.dn_loss_iou: 0.3747 d1.dn_loss_cls: 0.1187 d1.dn_loss_bbox: 0.2052 d1.dn_loss_iou: 0.2554 d2.dn_loss_cls: 0.1025 d2.dn_loss_bbox: 0.1823 d2.dn_loss_iou: 0.2304 d3.dn_loss_cls: 0.0911 d3.dn_loss_bbox: 0.1744 d3.dn_loss_iou: 0.2227 d4.dn_loss_cls: 0.0883 d4.dn_loss_bbox: 0.1722 d4.dn_loss_iou: 0.2204 d1.loss_lmm_region: 0.1459 loss_lmm_image: 0.8099 +2024/11/08 05:05:19 - mmengine - INFO - Iter(train) [ 84500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:56:55 time: 1.0297 data_time: 0.0182 memory: 23488 grad_norm: 22.1840 loss: 9.7806 loss_cls: 0.2864 loss_bbox: 0.1492 loss_iou: 0.2668 d0.loss_cls: 0.3248 d0.loss_bbox: 0.1630 d0.loss_iou: 0.2843 d1.loss_cls: 0.3049 d1.loss_bbox: 0.1513 d1.loss_iou: 0.2727 d2.loss_cls: 0.2994 d2.loss_bbox: 0.1484 d2.loss_iou: 0.2670 d3.loss_cls: 0.2944 d3.loss_bbox: 0.1493 d3.loss_iou: 0.2676 d4.loss_cls: 0.2883 d4.loss_bbox: 0.1488 d4.loss_iou: 0.2650 enc_loss_cls: 0.3445 enc_loss_bbox: 0.1767 enc_loss_iou: 0.3038 dn_loss_cls: 0.1045 dn_loss_bbox: 0.1834 dn_loss_iou: 0.2389 d0.dn_loss_cls: 0.1887 d0.dn_loss_bbox: 0.3440 d0.dn_loss_iou: 0.3964 d1.dn_loss_cls: 0.1359 d1.dn_loss_bbox: 0.2158 d1.dn_loss_iou: 0.2762 d2.dn_loss_cls: 0.1190 d2.dn_loss_bbox: 0.1921 d2.dn_loss_iou: 0.2482 d3.dn_loss_cls: 0.1086 d3.dn_loss_bbox: 0.1845 d3.dn_loss_iou: 0.2402 d4.dn_loss_cls: 0.1049 d4.dn_loss_bbox: 0.1834 d4.dn_loss_iou: 0.2388 d1.loss_lmm_region: 0.1427 loss_lmm_image: 0.7776 +2024/11/08 05:07:02 - mmengine - INFO - Iter(train) [ 84600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:55:10 time: 1.0284 data_time: 0.0181 memory: 23770 grad_norm: 21.7342 loss: 11.4758 loss_cls: 0.3516 loss_bbox: 0.2091 loss_iou: 0.3356 d0.loss_cls: 0.3913 d0.loss_bbox: 0.2168 d0.loss_iou: 0.3481 d1.loss_cls: 0.3737 d1.loss_bbox: 0.2127 d1.loss_iou: 0.3418 d2.loss_cls: 0.3579 d2.loss_bbox: 0.2117 d2.loss_iou: 0.3384 d3.loss_cls: 0.3545 d3.loss_bbox: 0.2093 d3.loss_iou: 0.3397 d4.loss_cls: 0.3522 d4.loss_bbox: 0.2097 d4.loss_iou: 0.3371 enc_loss_cls: 0.4161 enc_loss_bbox: 0.2343 enc_loss_iou: 0.3709 dn_loss_cls: 0.1140 dn_loss_bbox: 0.2014 dn_loss_iou: 0.2539 d0.dn_loss_cls: 0.2075 d0.dn_loss_bbox: 0.3694 d0.dn_loss_iou: 0.4166 d1.dn_loss_cls: 0.1470 d1.dn_loss_bbox: 0.2409 d1.dn_loss_iou: 0.2916 d2.dn_loss_cls: 0.1276 d2.dn_loss_bbox: 0.2113 d2.dn_loss_iou: 0.2642 d3.dn_loss_cls: 0.1173 d3.dn_loss_bbox: 0.2018 d3.dn_loss_iou: 0.2554 d4.dn_loss_cls: 0.1141 d4.dn_loss_bbox: 0.2014 d4.dn_loss_iou: 0.2536 d1.loss_lmm_region: 0.1712 loss_lmm_image: 0.8030 +2024/11/08 05:08:45 - mmengine - INFO - Iter(train) [ 84700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:53:25 time: 1.0377 data_time: 0.0182 memory: 23928 grad_norm: 21.7846 loss: 10.0893 loss_cls: 0.3256 loss_bbox: 0.1585 loss_iou: 0.2577 d0.loss_cls: 0.3633 d0.loss_bbox: 0.1739 d0.loss_iou: 0.2801 d1.loss_cls: 0.3529 d1.loss_bbox: 0.1629 d1.loss_iou: 0.2640 d2.loss_cls: 0.3419 d2.loss_bbox: 0.1578 d2.loss_iou: 0.2575 d3.loss_cls: 0.3350 d3.loss_bbox: 0.1581 d3.loss_iou: 0.2554 d4.loss_cls: 0.3270 d4.loss_bbox: 0.1592 d4.loss_iou: 0.2585 enc_loss_cls: 0.3858 enc_loss_bbox: 0.1794 enc_loss_iou: 0.2982 dn_loss_cls: 0.1059 dn_loss_bbox: 0.1936 dn_loss_iou: 0.2300 d0.dn_loss_cls: 0.2003 d0.dn_loss_bbox: 0.3498 d0.dn_loss_iou: 0.3848 d1.dn_loss_cls: 0.1407 d1.dn_loss_bbox: 0.2265 d1.dn_loss_iou: 0.2648 d2.dn_loss_cls: 0.1237 d2.dn_loss_bbox: 0.2011 d2.dn_loss_iou: 0.2382 d3.dn_loss_cls: 0.1125 d3.dn_loss_bbox: 0.1939 d3.dn_loss_iou: 0.2310 d4.dn_loss_cls: 0.1075 d4.dn_loss_bbox: 0.1936 d4.dn_loss_iou: 0.2298 d1.loss_lmm_region: 0.1457 loss_lmm_image: 0.7637 +2024/11/08 05:10:27 - mmengine - INFO - Iter(train) [ 84800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:51:39 time: 1.0252 data_time: 0.0182 memory: 24200 grad_norm: 23.3461 loss: 9.8220 loss_cls: 0.3053 loss_bbox: 0.1506 loss_iou: 0.3249 d0.loss_cls: 0.3334 d0.loss_bbox: 0.1636 d0.loss_iou: 0.3440 d1.loss_cls: 0.3208 d1.loss_bbox: 0.1562 d1.loss_iou: 0.3336 d2.loss_cls: 0.3142 d2.loss_bbox: 0.1528 d2.loss_iou: 0.3256 d3.loss_cls: 0.3114 d3.loss_bbox: 0.1514 d3.loss_iou: 0.3253 d4.loss_cls: 0.3066 d4.loss_bbox: 0.1510 d4.loss_iou: 0.3256 enc_loss_cls: 0.3557 enc_loss_bbox: 0.1800 enc_loss_iou: 0.3660 dn_loss_cls: 0.0761 dn_loss_bbox: 0.1420 dn_loss_iou: 0.2273 d0.dn_loss_cls: 0.1542 d0.dn_loss_bbox: 0.2959 d0.dn_loss_iou: 0.3769 d1.dn_loss_cls: 0.1031 d1.dn_loss_bbox: 0.1734 d1.dn_loss_iou: 0.2616 d2.dn_loss_cls: 0.0877 d2.dn_loss_bbox: 0.1480 d2.dn_loss_iou: 0.2346 d3.dn_loss_cls: 0.0804 d3.dn_loss_bbox: 0.1435 d3.dn_loss_iou: 0.2288 d4.dn_loss_cls: 0.0769 d4.dn_loss_bbox: 0.1421 d4.dn_loss_iou: 0.2272 d1.loss_lmm_region: 0.1323 loss_lmm_image: 0.8119 +2024/11/08 05:12:10 - mmengine - INFO - Iter(train) [ 84900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:49:54 time: 1.0160 data_time: 0.0183 memory: 22984 grad_norm: 22.1256 loss: 8.6281 loss_cls: 0.2358 loss_bbox: 0.1471 loss_iou: 0.2233 d0.loss_cls: 0.2660 d0.loss_bbox: 0.1654 d0.loss_iou: 0.2437 d1.loss_cls: 0.2482 d1.loss_bbox: 0.1534 d1.loss_iou: 0.2313 d2.loss_cls: 0.2432 d2.loss_bbox: 0.1502 d2.loss_iou: 0.2258 d3.loss_cls: 0.2384 d3.loss_bbox: 0.1487 d3.loss_iou: 0.2243 d4.loss_cls: 0.2372 d4.loss_bbox: 0.1453 d4.loss_iou: 0.2229 enc_loss_cls: 0.2933 enc_loss_bbox: 0.1799 enc_loss_iou: 0.2639 dn_loss_cls: 0.0702 dn_loss_bbox: 0.1718 dn_loss_iou: 0.2049 d0.dn_loss_cls: 0.1520 d0.dn_loss_bbox: 0.3403 d0.dn_loss_iou: 0.3671 d1.dn_loss_cls: 0.0963 d1.dn_loss_bbox: 0.2127 d1.dn_loss_iou: 0.2445 d2.dn_loss_cls: 0.0806 d2.dn_loss_bbox: 0.1819 d2.dn_loss_iou: 0.2148 d3.dn_loss_cls: 0.0755 d3.dn_loss_bbox: 0.1726 d3.dn_loss_iou: 0.2066 d4.dn_loss_cls: 0.0712 d4.dn_loss_bbox: 0.1719 d4.dn_loss_iou: 0.2050 d1.loss_lmm_region: 0.1326 loss_lmm_image: 0.7682 +2024/11/08 05:13:52 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/08 05:13:52 - mmengine - INFO - Iter(train) [ 85000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:48:08 time: 1.0303 data_time: 0.0182 memory: 23375 grad_norm: 23.1013 loss: 8.9445 loss_cls: 0.2877 loss_bbox: 0.1244 loss_iou: 0.2345 d0.loss_cls: 0.3143 d0.loss_bbox: 0.1383 d0.loss_iou: 0.2574 d1.loss_cls: 0.3000 d1.loss_bbox: 0.1320 d1.loss_iou: 0.2427 d2.loss_cls: 0.2945 d2.loss_bbox: 0.1232 d2.loss_iou: 0.2371 d3.loss_cls: 0.2897 d3.loss_bbox: 0.1249 d3.loss_iou: 0.2346 d4.loss_cls: 0.2907 d4.loss_bbox: 0.1230 d4.loss_iou: 0.2338 enc_loss_cls: 0.3361 enc_loss_bbox: 0.1561 enc_loss_iou: 0.2823 dn_loss_cls: 0.0899 dn_loss_bbox: 0.1498 dn_loss_iou: 0.2113 d0.dn_loss_cls: 0.1668 d0.dn_loss_bbox: 0.3072 d0.dn_loss_iou: 0.3680 d1.dn_loss_cls: 0.1129 d1.dn_loss_bbox: 0.1816 d1.dn_loss_iou: 0.2458 d2.dn_loss_cls: 0.1020 d2.dn_loss_bbox: 0.1580 d2.dn_loss_iou: 0.2194 d3.dn_loss_cls: 0.0952 d3.dn_loss_bbox: 0.1503 d3.dn_loss_iou: 0.2122 d4.dn_loss_cls: 0.0908 d4.dn_loss_bbox: 0.1498 d4.dn_loss_iou: 0.2112 d1.loss_lmm_region: 0.1305 loss_lmm_image: 0.8348 +2024/11/08 05:15:36 - mmengine - INFO - Iter(train) [ 85100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:46:23 time: 1.0291 data_time: 0.0183 memory: 24385 grad_norm: 24.0404 loss: 8.8279 loss_cls: 0.2780 loss_bbox: 0.1215 loss_iou: 0.2556 d0.loss_cls: 0.3243 d0.loss_bbox: 0.1320 d0.loss_iou: 0.2727 d1.loss_cls: 0.3071 d1.loss_bbox: 0.1257 d1.loss_iou: 0.2618 d2.loss_cls: 0.2942 d2.loss_bbox: 0.1202 d2.loss_iou: 0.2563 d3.loss_cls: 0.2881 d3.loss_bbox: 0.1214 d3.loss_iou: 0.2551 d4.loss_cls: 0.2806 d4.loss_bbox: 0.1200 d4.loss_iou: 0.2541 enc_loss_cls: 0.3475 enc_loss_bbox: 0.1444 enc_loss_iou: 0.2910 dn_loss_cls: 0.0740 dn_loss_bbox: 0.1433 dn_loss_iou: 0.2118 d0.dn_loss_cls: 0.1559 d0.dn_loss_bbox: 0.2857 d0.dn_loss_iou: 0.3580 d1.dn_loss_cls: 0.1069 d1.dn_loss_bbox: 0.1784 d1.dn_loss_iou: 0.2492 d2.dn_loss_cls: 0.0895 d2.dn_loss_bbox: 0.1528 d2.dn_loss_iou: 0.2213 d3.dn_loss_cls: 0.0794 d3.dn_loss_bbox: 0.1453 d3.dn_loss_iou: 0.2135 d4.dn_loss_cls: 0.0748 d4.dn_loss_bbox: 0.1433 d4.dn_loss_iou: 0.2119 d1.loss_lmm_region: 0.1369 loss_lmm_image: 0.7442 +2024/11/08 05:17:18 - mmengine - INFO - Iter(train) [ 85200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:44:38 time: 1.0158 data_time: 0.0182 memory: 23846 grad_norm: 21.7760 loss: 9.9086 loss_cls: 0.2971 loss_bbox: 0.1702 loss_iou: 0.2987 d0.loss_cls: 0.3386 d0.loss_bbox: 0.1778 d0.loss_iou: 0.3103 d1.loss_cls: 0.3192 d1.loss_bbox: 0.1702 d1.loss_iou: 0.3004 d2.loss_cls: 0.3097 d2.loss_bbox: 0.1699 d2.loss_iou: 0.3004 d3.loss_cls: 0.3051 d3.loss_bbox: 0.1710 d3.loss_iou: 0.2985 d4.loss_cls: 0.2998 d4.loss_bbox: 0.1708 d4.loss_iou: 0.2990 enc_loss_cls: 0.3478 enc_loss_bbox: 0.1890 enc_loss_iou: 0.3290 dn_loss_cls: 0.0673 dn_loss_bbox: 0.1680 dn_loss_iou: 0.2382 d0.dn_loss_cls: 0.1611 d0.dn_loss_bbox: 0.3209 d0.dn_loss_iou: 0.3963 d1.dn_loss_cls: 0.0991 d1.dn_loss_bbox: 0.1982 d1.dn_loss_iou: 0.2719 d2.dn_loss_cls: 0.0831 d2.dn_loss_bbox: 0.1762 d2.dn_loss_iou: 0.2473 d3.dn_loss_cls: 0.0730 d3.dn_loss_bbox: 0.1689 d3.dn_loss_iou: 0.2399 d4.dn_loss_cls: 0.0687 d4.dn_loss_bbox: 0.1681 d4.dn_loss_iou: 0.2382 d1.loss_lmm_region: 0.1521 loss_lmm_image: 0.7996 +2024/11/08 05:19:00 - mmengine - INFO - Iter(train) [ 85300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:42:52 time: 1.0109 data_time: 0.0181 memory: 23643 grad_norm: 20.7208 loss: 8.7165 loss_cls: 0.2719 loss_bbox: 0.1302 loss_iou: 0.2408 d0.loss_cls: 0.3078 d0.loss_bbox: 0.1402 d0.loss_iou: 0.2545 d1.loss_cls: 0.2878 d1.loss_bbox: 0.1353 d1.loss_iou: 0.2445 d2.loss_cls: 0.2796 d2.loss_bbox: 0.1327 d2.loss_iou: 0.2414 d3.loss_cls: 0.2746 d3.loss_bbox: 0.1323 d3.loss_iou: 0.2420 d4.loss_cls: 0.2731 d4.loss_bbox: 0.1297 d4.loss_iou: 0.2404 enc_loss_cls: 0.3268 enc_loss_bbox: 0.1562 enc_loss_iou: 0.2785 dn_loss_cls: 0.0784 dn_loss_bbox: 0.1517 dn_loss_iou: 0.1962 d0.dn_loss_cls: 0.1610 d0.dn_loss_bbox: 0.2970 d0.dn_loss_iou: 0.3394 d1.dn_loss_cls: 0.1048 d1.dn_loss_bbox: 0.1844 d1.dn_loss_iou: 0.2281 d2.dn_loss_cls: 0.0914 d2.dn_loss_bbox: 0.1595 d2.dn_loss_iou: 0.2043 d3.dn_loss_cls: 0.0807 d3.dn_loss_bbox: 0.1541 d3.dn_loss_iou: 0.1975 d4.dn_loss_cls: 0.0777 d4.dn_loss_bbox: 0.1518 d4.dn_loss_iou: 0.1962 d1.loss_lmm_region: 0.1288 loss_lmm_image: 0.8131 +2024/11/08 05:20:42 - mmengine - INFO - Iter(train) [ 85400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:41:07 time: 1.0133 data_time: 0.0183 memory: 24251 grad_norm: 24.3633 loss: 8.3411 loss_cls: 0.2320 loss_bbox: 0.1143 loss_iou: 0.2059 d0.loss_cls: 0.2454 d0.loss_bbox: 0.1295 d0.loss_iou: 0.2219 d1.loss_cls: 0.2407 d1.loss_bbox: 0.1175 d1.loss_iou: 0.2068 d2.loss_cls: 0.2328 d2.loss_bbox: 0.1201 d2.loss_iou: 0.2112 d3.loss_cls: 0.2353 d3.loss_bbox: 0.1148 d3.loss_iou: 0.2074 d4.loss_cls: 0.2331 d4.loss_bbox: 0.1139 d4.loss_iou: 0.2056 enc_loss_cls: 0.2663 enc_loss_bbox: 0.1389 enc_loss_iou: 0.2339 dn_loss_cls: 0.0806 dn_loss_bbox: 0.1794 dn_loss_iou: 0.2139 d0.dn_loss_cls: 0.1644 d0.dn_loss_bbox: 0.3291 d0.dn_loss_iou: 0.3577 d1.dn_loss_cls: 0.1087 d1.dn_loss_bbox: 0.2127 d1.dn_loss_iou: 0.2431 d2.dn_loss_cls: 0.0941 d2.dn_loss_bbox: 0.1891 d2.dn_loss_iou: 0.2216 d3.dn_loss_cls: 0.0848 d3.dn_loss_bbox: 0.1810 d3.dn_loss_iou: 0.2152 d4.dn_loss_cls: 0.0813 d4.dn_loss_bbox: 0.1796 d4.dn_loss_iou: 0.2140 d1.loss_lmm_region: 0.1244 loss_lmm_image: 0.8392 +2024/11/08 05:22:24 - mmengine - INFO - Iter(train) [ 85500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:39:21 time: 1.0203 data_time: 0.0182 memory: 23898 grad_norm: 30.1194 loss: 10.2570 loss_cls: 0.3583 loss_bbox: 0.1492 loss_iou: 0.2961 d0.loss_cls: 0.4048 d0.loss_bbox: 0.1614 d0.loss_iou: 0.3119 d1.loss_cls: 0.3869 d1.loss_bbox: 0.1493 d1.loss_iou: 0.2989 d2.loss_cls: 0.3763 d2.loss_bbox: 0.1488 d2.loss_iou: 0.2970 d3.loss_cls: 0.3649 d3.loss_bbox: 0.1479 d3.loss_iou: 0.2937 d4.loss_cls: 0.3619 d4.loss_bbox: 0.1471 d4.loss_iou: 0.2932 enc_loss_cls: 0.4215 enc_loss_bbox: 0.1772 enc_loss_iou: 0.3383 dn_loss_cls: 0.0989 dn_loss_bbox: 0.1598 dn_loss_iou: 0.2236 d0.dn_loss_cls: 0.1803 d0.dn_loss_bbox: 0.3097 d0.dn_loss_iou: 0.3783 d1.dn_loss_cls: 0.1281 d1.dn_loss_bbox: 0.1932 d1.dn_loss_iou: 0.2587 d2.dn_loss_cls: 0.1132 d2.dn_loss_bbox: 0.1698 d2.dn_loss_iou: 0.2329 d3.dn_loss_cls: 0.1040 d3.dn_loss_bbox: 0.1618 d3.dn_loss_iou: 0.2253 d4.dn_loss_cls: 0.1006 d4.dn_loss_bbox: 0.1600 d4.dn_loss_iou: 0.2236 d1.loss_lmm_region: 0.1434 loss_lmm_image: 0.8074 +2024/11/08 05:24:06 - mmengine - INFO - Iter(train) [ 85600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:37:35 time: 1.0096 data_time: 0.0182 memory: 23375 grad_norm: 20.8228 loss: 9.7509 loss_cls: 0.3171 loss_bbox: 0.1548 loss_iou: 0.2627 d0.loss_cls: 0.3528 d0.loss_bbox: 0.1688 d0.loss_iou: 0.2748 d1.loss_cls: 0.3311 d1.loss_bbox: 0.1597 d1.loss_iou: 0.2669 d2.loss_cls: 0.3235 d2.loss_bbox: 0.1580 d2.loss_iou: 0.2649 d3.loss_cls: 0.3202 d3.loss_bbox: 0.1577 d3.loss_iou: 0.2629 d4.loss_cls: 0.3191 d4.loss_bbox: 0.1548 d4.loss_iou: 0.2628 enc_loss_cls: 0.3764 enc_loss_bbox: 0.1793 enc_loss_iou: 0.2905 dn_loss_cls: 0.0895 dn_loss_bbox: 0.1781 dn_loss_iou: 0.2232 d0.dn_loss_cls: 0.1821 d0.dn_loss_bbox: 0.3365 d0.dn_loss_iou: 0.3622 d1.dn_loss_cls: 0.1233 d1.dn_loss_bbox: 0.2133 d1.dn_loss_iou: 0.2551 d2.dn_loss_cls: 0.1053 d2.dn_loss_bbox: 0.1860 d2.dn_loss_iou: 0.2317 d3.dn_loss_cls: 0.0944 d3.dn_loss_bbox: 0.1788 d3.dn_loss_iou: 0.2249 d4.dn_loss_cls: 0.0910 d4.dn_loss_bbox: 0.1781 d4.dn_loss_iou: 0.2232 d1.loss_lmm_region: 0.1568 loss_lmm_image: 0.7588 +2024/11/08 05:25:49 - mmengine - INFO - Iter(train) [ 85700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:35:50 time: 1.0108 data_time: 0.0183 memory: 24068 grad_norm: 21.5652 loss: 9.4284 loss_cls: 0.2874 loss_bbox: 0.1499 loss_iou: 0.2594 d0.loss_cls: 0.3164 d0.loss_bbox: 0.1604 d0.loss_iou: 0.2747 d1.loss_cls: 0.3062 d1.loss_bbox: 0.1532 d1.loss_iou: 0.2629 d2.loss_cls: 0.2970 d2.loss_bbox: 0.1523 d2.loss_iou: 0.2594 d3.loss_cls: 0.2916 d3.loss_bbox: 0.1489 d3.loss_iou: 0.2566 d4.loss_cls: 0.2882 d4.loss_bbox: 0.1500 d4.loss_iou: 0.2587 enc_loss_cls: 0.3377 enc_loss_bbox: 0.1779 enc_loss_iou: 0.3005 dn_loss_cls: 0.0769 dn_loss_bbox: 0.1915 dn_loss_iou: 0.2231 d0.dn_loss_cls: 0.1677 d0.dn_loss_bbox: 0.3472 d0.dn_loss_iou: 0.3740 d1.dn_loss_cls: 0.1124 d1.dn_loss_bbox: 0.2219 d1.dn_loss_iou: 0.2546 d2.dn_loss_cls: 0.0963 d2.dn_loss_bbox: 0.1987 d2.dn_loss_iou: 0.2307 d3.dn_loss_cls: 0.0832 d3.dn_loss_bbox: 0.1921 d3.dn_loss_iou: 0.2245 d4.dn_loss_cls: 0.0784 d4.dn_loss_bbox: 0.1915 d4.dn_loss_iou: 0.2231 d1.loss_lmm_region: 0.1410 loss_lmm_image: 0.7101 +2024/11/08 05:27:31 - mmengine - INFO - Iter(train) [ 85800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:34:04 time: 1.0274 data_time: 0.0183 memory: 23374 grad_norm: 22.5049 loss: 10.2909 loss_cls: 0.3248 loss_bbox: 0.1722 loss_iou: 0.2808 d0.loss_cls: 0.3613 d0.loss_bbox: 0.1758 d0.loss_iou: 0.2880 d1.loss_cls: 0.3408 d1.loss_bbox: 0.1721 d1.loss_iou: 0.2852 d2.loss_cls: 0.3381 d2.loss_bbox: 0.1693 d2.loss_iou: 0.2818 d3.loss_cls: 0.3306 d3.loss_bbox: 0.1717 d3.loss_iou: 0.2824 d4.loss_cls: 0.3263 d4.loss_bbox: 0.1715 d4.loss_iou: 0.2796 enc_loss_cls: 0.3774 enc_loss_bbox: 0.1836 enc_loss_iou: 0.3051 dn_loss_cls: 0.0877 dn_loss_bbox: 0.1991 dn_loss_iou: 0.2459 d0.dn_loss_cls: 0.1740 d0.dn_loss_bbox: 0.3663 d0.dn_loss_iou: 0.3997 d1.dn_loss_cls: 0.1200 d1.dn_loss_bbox: 0.2302 d1.dn_loss_iou: 0.2797 d2.dn_loss_cls: 0.1044 d2.dn_loss_bbox: 0.2112 d2.dn_loss_iou: 0.2567 d3.dn_loss_cls: 0.0938 d3.dn_loss_bbox: 0.2008 d3.dn_loss_iou: 0.2479 d4.dn_loss_cls: 0.0893 d4.dn_loss_bbox: 0.1993 d4.dn_loss_iou: 0.2461 d1.loss_lmm_region: 0.1317 loss_lmm_image: 0.7890 +2024/11/08 05:29:14 - mmengine - INFO - Iter(train) [ 85900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:32:19 time: 1.0278 data_time: 0.0183 memory: 23254 grad_norm: 22.0417 loss: 9.7325 loss_cls: 0.2813 loss_bbox: 0.1610 loss_iou: 0.2852 d0.loss_cls: 0.3123 d0.loss_bbox: 0.1755 d0.loss_iou: 0.2998 d1.loss_cls: 0.2947 d1.loss_bbox: 0.1679 d1.loss_iou: 0.2903 d2.loss_cls: 0.2840 d2.loss_bbox: 0.1642 d2.loss_iou: 0.2884 d3.loss_cls: 0.2828 d3.loss_bbox: 0.1636 d3.loss_iou: 0.2860 d4.loss_cls: 0.2836 d4.loss_bbox: 0.1600 d4.loss_iou: 0.2843 enc_loss_cls: 0.3363 enc_loss_bbox: 0.1818 enc_loss_iou: 0.3162 dn_loss_cls: 0.0839 dn_loss_bbox: 0.1792 dn_loss_iou: 0.2263 d0.dn_loss_cls: 0.1698 d0.dn_loss_bbox: 0.3447 d0.dn_loss_iou: 0.3753 d1.dn_loss_cls: 0.1156 d1.dn_loss_bbox: 0.2159 d1.dn_loss_iou: 0.2579 d2.dn_loss_cls: 0.0996 d2.dn_loss_bbox: 0.1909 d2.dn_loss_iou: 0.2357 d3.dn_loss_cls: 0.0881 d3.dn_loss_bbox: 0.1814 d3.dn_loss_iou: 0.2277 d4.dn_loss_cls: 0.0851 d4.dn_loss_bbox: 0.1792 d4.dn_loss_iou: 0.2262 d1.loss_lmm_region: 0.1182 loss_lmm_image: 0.8323 +2024/11/08 05:30:56 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/08 05:30:56 - mmengine - INFO - Iter(train) [ 86000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:30:34 time: 1.0330 data_time: 0.0183 memory: 23196 grad_norm: 25.0073 loss: 9.0231 loss_cls: 0.2815 loss_bbox: 0.1294 loss_iou: 0.2422 d0.loss_cls: 0.3154 d0.loss_bbox: 0.1390 d0.loss_iou: 0.2535 d1.loss_cls: 0.3040 d1.loss_bbox: 0.1272 d1.loss_iou: 0.2415 d2.loss_cls: 0.2846 d2.loss_bbox: 0.1339 d2.loss_iou: 0.2418 d3.loss_cls: 0.2854 d3.loss_bbox: 0.1278 d3.loss_iou: 0.2382 d4.loss_cls: 0.2818 d4.loss_bbox: 0.1294 d4.loss_iou: 0.2415 enc_loss_cls: 0.3255 enc_loss_bbox: 0.1531 enc_loss_iou: 0.2697 dn_loss_cls: 0.0965 dn_loss_bbox: 0.1577 dn_loss_iou: 0.2188 d0.dn_loss_cls: 0.1737 d0.dn_loss_bbox: 0.3072 d0.dn_loss_iou: 0.3652 d1.dn_loss_cls: 0.1180 d1.dn_loss_bbox: 0.1893 d1.dn_loss_iou: 0.2506 d2.dn_loss_cls: 0.1056 d2.dn_loss_bbox: 0.1670 d2.dn_loss_iou: 0.2276 d3.dn_loss_cls: 0.0996 d3.dn_loss_bbox: 0.1589 d3.dn_loss_iou: 0.2201 d4.dn_loss_cls: 0.0966 d4.dn_loss_bbox: 0.1577 d4.dn_loss_iou: 0.2189 d1.loss_lmm_region: 0.1517 loss_lmm_image: 0.7959 +2024/11/08 05:32:40 - mmengine - INFO - Iter(train) [ 86100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:28:49 time: 1.0321 data_time: 0.0183 memory: 23883 grad_norm: 23.2327 loss: 8.0709 loss_cls: 0.2211 loss_bbox: 0.1327 loss_iou: 0.2082 d0.loss_cls: 0.2527 d0.loss_bbox: 0.1433 d0.loss_iou: 0.2212 d1.loss_cls: 0.2382 d1.loss_bbox: 0.1338 d1.loss_iou: 0.2123 d2.loss_cls: 0.2297 d2.loss_bbox: 0.1347 d2.loss_iou: 0.2096 d3.loss_cls: 0.2282 d3.loss_bbox: 0.1327 d3.loss_iou: 0.2090 d4.loss_cls: 0.2207 d4.loss_bbox: 0.1351 d4.loss_iou: 0.2092 enc_loss_cls: 0.2695 enc_loss_bbox: 0.1554 enc_loss_iou: 0.2420 dn_loss_cls: 0.0685 dn_loss_bbox: 0.1579 dn_loss_iou: 0.1995 d0.dn_loss_cls: 0.1467 d0.dn_loss_bbox: 0.3050 d0.dn_loss_iou: 0.3417 d1.dn_loss_cls: 0.0999 d1.dn_loss_bbox: 0.1909 d1.dn_loss_iou: 0.2306 d2.dn_loss_cls: 0.0828 d2.dn_loss_bbox: 0.1640 d2.dn_loss_iou: 0.2071 d3.dn_loss_cls: 0.0724 d3.dn_loss_bbox: 0.1588 d3.dn_loss_iou: 0.2004 d4.dn_loss_cls: 0.0686 d4.dn_loss_bbox: 0.1580 d4.dn_loss_iou: 0.1994 d1.loss_lmm_region: 0.1194 loss_lmm_image: 0.7602 +2024/11/08 05:34:23 - mmengine - INFO - Iter(train) [ 86200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:27:04 time: 1.0246 data_time: 0.0184 memory: 23776 grad_norm: 22.1917 loss: 10.3267 loss_cls: 0.3016 loss_bbox: 0.1724 loss_iou: 0.2793 d0.loss_cls: 0.3389 d0.loss_bbox: 0.1826 d0.loss_iou: 0.2971 d1.loss_cls: 0.3233 d1.loss_bbox: 0.1696 d1.loss_iou: 0.2863 d2.loss_cls: 0.3114 d2.loss_bbox: 0.1678 d2.loss_iou: 0.2829 d3.loss_cls: 0.3107 d3.loss_bbox: 0.1680 d3.loss_iou: 0.2777 d4.loss_cls: 0.2998 d4.loss_bbox: 0.1752 d4.loss_iou: 0.2819 enc_loss_cls: 0.3564 enc_loss_bbox: 0.1971 enc_loss_iou: 0.3169 dn_loss_cls: 0.0884 dn_loss_bbox: 0.2132 dn_loss_iou: 0.2553 d0.dn_loss_cls: 0.1850 d0.dn_loss_bbox: 0.3816 d0.dn_loss_iou: 0.4106 d1.dn_loss_cls: 0.1257 d1.dn_loss_bbox: 0.2453 d1.dn_loss_iou: 0.2856 d2.dn_loss_cls: 0.1057 d2.dn_loss_bbox: 0.2203 d2.dn_loss_iou: 0.2625 d3.dn_loss_cls: 0.0933 d3.dn_loss_bbox: 0.2141 d3.dn_loss_iou: 0.2568 d4.dn_loss_cls: 0.0887 d4.dn_loss_bbox: 0.2132 d4.dn_loss_iou: 0.2554 d1.loss_lmm_region: 0.1378 loss_lmm_image: 0.7911 +2024/11/08 05:36:06 - mmengine - INFO - Iter(train) [ 86300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:25:19 time: 1.0253 data_time: 0.0183 memory: 23750 grad_norm: 26.5922 loss: 10.0757 loss_cls: 0.3058 loss_bbox: 0.1663 loss_iou: 0.2924 d0.loss_cls: 0.3432 d0.loss_bbox: 0.1856 d0.loss_iou: 0.3168 d1.loss_cls: 0.3230 d1.loss_bbox: 0.1728 d1.loss_iou: 0.3064 d2.loss_cls: 0.3138 d2.loss_bbox: 0.1659 d2.loss_iou: 0.2950 d3.loss_cls: 0.3095 d3.loss_bbox: 0.1650 d3.loss_iou: 0.2927 d4.loss_cls: 0.3071 d4.loss_bbox: 0.1657 d4.loss_iou: 0.2918 enc_loss_cls: 0.3618 enc_loss_bbox: 0.1981 enc_loss_iou: 0.3331 dn_loss_cls: 0.0782 dn_loss_bbox: 0.1916 dn_loss_iou: 0.2351 d0.dn_loss_cls: 0.1695 d0.dn_loss_bbox: 0.3531 d0.dn_loss_iou: 0.3819 d1.dn_loss_cls: 0.1110 d1.dn_loss_bbox: 0.2214 d1.dn_loss_iou: 0.2654 d2.dn_loss_cls: 0.0930 d2.dn_loss_bbox: 0.1983 d2.dn_loss_iou: 0.2419 d3.dn_loss_cls: 0.0818 d3.dn_loss_bbox: 0.1928 d3.dn_loss_iou: 0.2364 d4.dn_loss_cls: 0.0792 d4.dn_loss_bbox: 0.1917 d4.dn_loss_iou: 0.2351 d1.loss_lmm_region: 0.1565 loss_lmm_image: 0.7503 +2024/11/08 05:37:48 - mmengine - INFO - Iter(train) [ 86400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:23:34 time: 1.0181 data_time: 0.0182 memory: 23469 grad_norm: 21.4746 loss: 9.4672 loss_cls: 0.2936 loss_bbox: 0.1378 loss_iou: 0.2548 d0.loss_cls: 0.3355 d0.loss_bbox: 0.1463 d0.loss_iou: 0.2679 d1.loss_cls: 0.3136 d1.loss_bbox: 0.1408 d1.loss_iou: 0.2602 d2.loss_cls: 0.3071 d2.loss_bbox: 0.1375 d2.loss_iou: 0.2553 d3.loss_cls: 0.3010 d3.loss_bbox: 0.1353 d3.loss_iou: 0.2516 d4.loss_cls: 0.2964 d4.loss_bbox: 0.1369 d4.loss_iou: 0.2545 enc_loss_cls: 0.3552 enc_loss_bbox: 0.1602 enc_loss_iou: 0.2879 dn_loss_cls: 0.0877 dn_loss_bbox: 0.1715 dn_loss_iou: 0.2294 d0.dn_loss_cls: 0.1777 d0.dn_loss_bbox: 0.3215 d0.dn_loss_iou: 0.3847 d1.dn_loss_cls: 0.1163 d1.dn_loss_bbox: 0.1993 d1.dn_loss_iou: 0.2613 d2.dn_loss_cls: 0.1019 d2.dn_loss_bbox: 0.1755 d2.dn_loss_iou: 0.2355 d3.dn_loss_cls: 0.0937 d3.dn_loss_bbox: 0.1723 d3.dn_loss_iou: 0.2307 d4.dn_loss_cls: 0.0889 d4.dn_loss_bbox: 0.1716 d4.dn_loss_iou: 0.2293 d1.loss_lmm_region: 0.1528 loss_lmm_image: 0.8360 +2024/11/08 05:39:31 - mmengine - INFO - Iter(train) [ 86500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:21:49 time: 1.0321 data_time: 0.0184 memory: 23564 grad_norm: 20.6373 loss: 10.3894 loss_cls: 0.3505 loss_bbox: 0.1642 loss_iou: 0.3310 d0.loss_cls: 0.3864 d0.loss_bbox: 0.1839 d0.loss_iou: 0.3493 d1.loss_cls: 0.3668 d1.loss_bbox: 0.1690 d1.loss_iou: 0.3360 d2.loss_cls: 0.3650 d2.loss_bbox: 0.1606 d2.loss_iou: 0.3274 d3.loss_cls: 0.3578 d3.loss_bbox: 0.1624 d3.loss_iou: 0.3270 d4.loss_cls: 0.3551 d4.loss_bbox: 0.1625 d4.loss_iou: 0.3292 enc_loss_cls: 0.4156 enc_loss_bbox: 0.1940 enc_loss_iou: 0.3691 dn_loss_cls: 0.0921 dn_loss_bbox: 0.1487 dn_loss_iou: 0.2252 d0.dn_loss_cls: 0.1719 d0.dn_loss_bbox: 0.2943 d0.dn_loss_iou: 0.3698 d1.dn_loss_cls: 0.1202 d1.dn_loss_bbox: 0.1825 d1.dn_loss_iou: 0.2592 d2.dn_loss_cls: 0.1053 d2.dn_loss_bbox: 0.1581 d2.dn_loss_iou: 0.2348 d3.dn_loss_cls: 0.0975 d3.dn_loss_bbox: 0.1498 d3.dn_loss_iou: 0.2268 d4.dn_loss_cls: 0.0928 d4.dn_loss_bbox: 0.1488 d4.dn_loss_iou: 0.2253 d1.loss_lmm_region: 0.1391 loss_lmm_image: 0.7846 +2024/11/08 05:41:14 - mmengine - INFO - Iter(train) [ 86600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:20:04 time: 1.0291 data_time: 0.0183 memory: 23073 grad_norm: 23.1869 loss: 7.8644 loss_cls: 0.2501 loss_bbox: 0.1065 loss_iou: 0.1939 d0.loss_cls: 0.2692 d0.loss_bbox: 0.1228 d0.loss_iou: 0.2139 d1.loss_cls: 0.2542 d1.loss_bbox: 0.1154 d1.loss_iou: 0.2047 d2.loss_cls: 0.2559 d2.loss_bbox: 0.1084 d2.loss_iou: 0.1971 d3.loss_cls: 0.2529 d3.loss_bbox: 0.1075 d3.loss_iou: 0.1940 d4.loss_cls: 0.2493 d4.loss_bbox: 0.1083 d4.loss_iou: 0.1956 enc_loss_cls: 0.2833 enc_loss_bbox: 0.1457 enc_loss_iou: 0.2419 dn_loss_cls: 0.0717 dn_loss_bbox: 0.1397 dn_loss_iou: 0.1827 d0.dn_loss_cls: 0.1508 d0.dn_loss_bbox: 0.3023 d0.dn_loss_iou: 0.3375 d1.dn_loss_cls: 0.0987 d1.dn_loss_bbox: 0.1808 d1.dn_loss_iou: 0.2197 d2.dn_loss_cls: 0.0814 d2.dn_loss_bbox: 0.1494 d2.dn_loss_iou: 0.1921 d3.dn_loss_cls: 0.0749 d3.dn_loss_bbox: 0.1414 d3.dn_loss_iou: 0.1847 d4.dn_loss_cls: 0.0717 d4.dn_loss_bbox: 0.1398 d4.dn_loss_iou: 0.1827 d1.loss_lmm_region: 0.1169 loss_lmm_image: 0.7754 +2024/11/08 05:42:57 - mmengine - INFO - Iter(train) [ 86700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:18:19 time: 1.0265 data_time: 0.0183 memory: 23471 grad_norm: 21.7004 loss: 9.5826 loss_cls: 0.2910 loss_bbox: 0.1595 loss_iou: 0.2750 d0.loss_cls: 0.3247 d0.loss_bbox: 0.1776 d0.loss_iou: 0.2960 d1.loss_cls: 0.3070 d1.loss_bbox: 0.1706 d1.loss_iou: 0.2812 d2.loss_cls: 0.2986 d2.loss_bbox: 0.1637 d2.loss_iou: 0.2794 d3.loss_cls: 0.2967 d3.loss_bbox: 0.1600 d3.loss_iou: 0.2741 d4.loss_cls: 0.2920 d4.loss_bbox: 0.1596 d4.loss_iou: 0.2749 enc_loss_cls: 0.3496 enc_loss_bbox: 0.1921 enc_loss_iou: 0.3214 dn_loss_cls: 0.0696 dn_loss_bbox: 0.1797 dn_loss_iou: 0.2192 d0.dn_loss_cls: 0.1565 d0.dn_loss_bbox: 0.3162 d0.dn_loss_iou: 0.3599 d1.dn_loss_cls: 0.1025 d1.dn_loss_bbox: 0.2037 d1.dn_loss_iou: 0.2484 d2.dn_loss_cls: 0.0869 d2.dn_loss_bbox: 0.1857 d2.dn_loss_iou: 0.2264 d3.dn_loss_cls: 0.0769 d3.dn_loss_bbox: 0.1808 d3.dn_loss_iou: 0.2203 d4.dn_loss_cls: 0.0704 d4.dn_loss_bbox: 0.1796 d4.dn_loss_iou: 0.2191 d1.loss_lmm_region: 0.1273 loss_lmm_image: 0.8091 +2024/11/08 05:44:40 - mmengine - INFO - Iter(train) [ 86800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:16:34 time: 1.0286 data_time: 0.0183 memory: 24559 grad_norm: 23.4827 loss: 9.1819 loss_cls: 0.2926 loss_bbox: 0.1364 loss_iou: 0.2665 d0.loss_cls: 0.3245 d0.loss_bbox: 0.1524 d0.loss_iou: 0.2924 d1.loss_cls: 0.3085 d1.loss_bbox: 0.1421 d1.loss_iou: 0.2779 d2.loss_cls: 0.2986 d2.loss_bbox: 0.1383 d2.loss_iou: 0.2699 d3.loss_cls: 0.2955 d3.loss_bbox: 0.1387 d3.loss_iou: 0.2681 d4.loss_cls: 0.2945 d4.loss_bbox: 0.1365 d4.loss_iou: 0.2662 enc_loss_cls: 0.3502 enc_loss_bbox: 0.1636 enc_loss_iou: 0.3074 dn_loss_cls: 0.0702 dn_loss_bbox: 0.1496 dn_loss_iou: 0.2171 d0.dn_loss_cls: 0.1585 d0.dn_loss_bbox: 0.3057 d0.dn_loss_iou: 0.3662 d1.dn_loss_cls: 0.0991 d1.dn_loss_bbox: 0.1911 d1.dn_loss_iou: 0.2546 d2.dn_loss_cls: 0.0830 d2.dn_loss_bbox: 0.1617 d2.dn_loss_iou: 0.2268 d3.dn_loss_cls: 0.0741 d3.dn_loss_bbox: 0.1510 d3.dn_loss_iou: 0.2188 d4.dn_loss_cls: 0.0708 d4.dn_loss_bbox: 0.1495 d4.dn_loss_iou: 0.2170 d1.loss_lmm_region: 0.1230 loss_lmm_image: 0.7733 +2024/11/08 05:46:23 - mmengine - INFO - Iter(train) [ 86900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:14:49 time: 1.0346 data_time: 0.0183 memory: 24522 grad_norm: 28.4839 loss: 9.2375 loss_cls: 0.2844 loss_bbox: 0.1411 loss_iou: 0.2685 d0.loss_cls: 0.3238 d0.loss_bbox: 0.1533 d0.loss_iou: 0.2824 d1.loss_cls: 0.3039 d1.loss_bbox: 0.1443 d1.loss_iou: 0.2730 d2.loss_cls: 0.2915 d2.loss_bbox: 0.1424 d2.loss_iou: 0.2719 d3.loss_cls: 0.2891 d3.loss_bbox: 0.1389 d3.loss_iou: 0.2706 d4.loss_cls: 0.2842 d4.loss_bbox: 0.1407 d4.loss_iou: 0.2685 enc_loss_cls: 0.3419 enc_loss_bbox: 0.1677 enc_loss_iou: 0.3061 dn_loss_cls: 0.0856 dn_loss_bbox: 0.1602 dn_loss_iou: 0.2226 d0.dn_loss_cls: 0.1634 d0.dn_loss_bbox: 0.3116 d0.dn_loss_iou: 0.3739 d1.dn_loss_cls: 0.1102 d1.dn_loss_bbox: 0.1923 d1.dn_loss_iou: 0.2536 d2.dn_loss_cls: 0.0958 d2.dn_loss_bbox: 0.1687 d2.dn_loss_iou: 0.2289 d3.dn_loss_cls: 0.0868 d3.dn_loss_bbox: 0.1608 d3.dn_loss_iou: 0.2239 d4.dn_loss_cls: 0.0864 d4.dn_loss_bbox: 0.1601 d4.dn_loss_iou: 0.2225 d1.loss_lmm_region: 0.1313 loss_lmm_image: 0.7105 +2024/11/08 05:48:06 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/08 05:48:06 - mmengine - INFO - Iter(train) [ 87000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:13:04 time: 1.0189 data_time: 0.0182 memory: 23867 grad_norm: 19.1794 loss: 8.9727 loss_cls: 0.2840 loss_bbox: 0.1318 loss_iou: 0.2297 d0.loss_cls: 0.3103 d0.loss_bbox: 0.1481 d0.loss_iou: 0.2450 d1.loss_cls: 0.2993 d1.loss_bbox: 0.1404 d1.loss_iou: 0.2384 d2.loss_cls: 0.2946 d2.loss_bbox: 0.1318 d2.loss_iou: 0.2327 d3.loss_cls: 0.2895 d3.loss_bbox: 0.1324 d3.loss_iou: 0.2299 d4.loss_cls: 0.2848 d4.loss_bbox: 0.1324 d4.loss_iou: 0.2310 enc_loss_cls: 0.3318 enc_loss_bbox: 0.1593 enc_loss_iou: 0.2612 dn_loss_cls: 0.0849 dn_loss_bbox: 0.1724 dn_loss_iou: 0.2096 d0.dn_loss_cls: 0.1645 d0.dn_loss_bbox: 0.3223 d0.dn_loss_iou: 0.3506 d1.dn_loss_cls: 0.1144 d1.dn_loss_bbox: 0.2063 d1.dn_loss_iou: 0.2412 d2.dn_loss_cls: 0.0999 d2.dn_loss_bbox: 0.1804 d2.dn_loss_iou: 0.2180 d3.dn_loss_cls: 0.0894 d3.dn_loss_bbox: 0.1748 d3.dn_loss_iou: 0.2114 d4.dn_loss_cls: 0.0849 d4.dn_loss_bbox: 0.1724 d4.dn_loss_iou: 0.2095 d1.loss_lmm_region: 0.1280 loss_lmm_image: 0.7994 +2024/11/08 05:49:48 - mmengine - INFO - Iter(train) [ 87100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:11:19 time: 1.0266 data_time: 0.0184 memory: 23656 grad_norm: 21.3414 loss: 8.8847 loss_cls: 0.2712 loss_bbox: 0.1290 loss_iou: 0.2255 d0.loss_cls: 0.3044 d0.loss_bbox: 0.1378 d0.loss_iou: 0.2361 d1.loss_cls: 0.2888 d1.loss_bbox: 0.1339 d1.loss_iou: 0.2296 d2.loss_cls: 0.2800 d2.loss_bbox: 0.1309 d2.loss_iou: 0.2264 d3.loss_cls: 0.2777 d3.loss_bbox: 0.1311 d3.loss_iou: 0.2259 d4.loss_cls: 0.2721 d4.loss_bbox: 0.1296 d4.loss_iou: 0.2261 enc_loss_cls: 0.3240 enc_loss_bbox: 0.1523 enc_loss_iou: 0.2515 dn_loss_cls: 0.0881 dn_loss_bbox: 0.1734 dn_loss_iou: 0.2191 d0.dn_loss_cls: 0.1724 d0.dn_loss_bbox: 0.3237 d0.dn_loss_iou: 0.3694 d1.dn_loss_cls: 0.1225 d1.dn_loss_bbox: 0.2041 d1.dn_loss_iou: 0.2514 d2.dn_loss_cls: 0.1003 d2.dn_loss_bbox: 0.1808 d2.dn_loss_iou: 0.2272 d3.dn_loss_cls: 0.0905 d3.dn_loss_bbox: 0.1750 d3.dn_loss_iou: 0.2207 d4.dn_loss_cls: 0.0891 d4.dn_loss_bbox: 0.1736 d4.dn_loss_iou: 0.2191 d1.loss_lmm_region: 0.1383 loss_lmm_image: 0.7620 +2024/11/08 05:51:31 - mmengine - INFO - Iter(train) [ 87200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:09:33 time: 1.0186 data_time: 0.0182 memory: 24425 grad_norm: 20.6118 loss: 8.4122 loss_cls: 0.2495 loss_bbox: 0.1186 loss_iou: 0.2023 d0.loss_cls: 0.2827 d0.loss_bbox: 0.1303 d0.loss_iou: 0.2161 d1.loss_cls: 0.2633 d1.loss_bbox: 0.1237 d1.loss_iou: 0.2082 d2.loss_cls: 0.2574 d2.loss_bbox: 0.1208 d2.loss_iou: 0.2048 d3.loss_cls: 0.2551 d3.loss_bbox: 0.1155 d3.loss_iou: 0.2013 d4.loss_cls: 0.2487 d4.loss_bbox: 0.1193 d4.loss_iou: 0.2025 enc_loss_cls: 0.2972 enc_loss_bbox: 0.1417 enc_loss_iou: 0.2395 dn_loss_cls: 0.0972 dn_loss_bbox: 0.1623 dn_loss_iou: 0.2004 d0.dn_loss_cls: 0.1737 d0.dn_loss_bbox: 0.3318 d0.dn_loss_iou: 0.3563 d1.dn_loss_cls: 0.1225 d1.dn_loss_bbox: 0.2006 d1.dn_loss_iou: 0.2355 d2.dn_loss_cls: 0.1091 d2.dn_loss_bbox: 0.1748 d2.dn_loss_iou: 0.2107 d3.dn_loss_cls: 0.0984 d3.dn_loss_bbox: 0.1649 d3.dn_loss_iou: 0.2029 d4.dn_loss_cls: 0.0970 d4.dn_loss_bbox: 0.1622 d4.dn_loss_iou: 0.2004 d1.loss_lmm_region: 0.1190 loss_lmm_image: 0.7938 +2024/11/08 05:53:13 - mmengine - INFO - Iter(train) [ 87300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:07:48 time: 1.0188 data_time: 0.0184 memory: 24828 grad_norm: 21.9137 loss: 10.0945 loss_cls: 0.2951 loss_bbox: 0.1693 loss_iou: 0.2955 d0.loss_cls: 0.3320 d0.loss_bbox: 0.1875 d0.loss_iou: 0.3156 d1.loss_cls: 0.3166 d1.loss_bbox: 0.1758 d1.loss_iou: 0.3020 d2.loss_cls: 0.3025 d2.loss_bbox: 0.1784 d2.loss_iou: 0.3002 d3.loss_cls: 0.3030 d3.loss_bbox: 0.1710 d3.loss_iou: 0.2941 d4.loss_cls: 0.2953 d4.loss_bbox: 0.1705 d4.loss_iou: 0.2959 enc_loss_cls: 0.3550 enc_loss_bbox: 0.1987 enc_loss_iou: 0.3356 dn_loss_cls: 0.0885 dn_loss_bbox: 0.1860 dn_loss_iou: 0.2437 d0.dn_loss_cls: 0.1789 d0.dn_loss_bbox: 0.3382 d0.dn_loss_iou: 0.3919 d1.dn_loss_cls: 0.1180 d1.dn_loss_bbox: 0.2165 d1.dn_loss_iou: 0.2728 d2.dn_loss_cls: 0.1024 d2.dn_loss_bbox: 0.1941 d2.dn_loss_iou: 0.2513 d3.dn_loss_cls: 0.0947 d3.dn_loss_bbox: 0.1870 d3.dn_loss_iou: 0.2450 d4.dn_loss_cls: 0.0894 d4.dn_loss_bbox: 0.1859 d4.dn_loss_iou: 0.2434 d1.loss_lmm_region: 0.1518 loss_lmm_image: 0.7254 +2024/11/08 05:54:55 - mmengine - INFO - Iter(train) [ 87400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:06:03 time: 1.0199 data_time: 0.0184 memory: 24468 grad_norm: 20.3948 loss: 9.5068 loss_cls: 0.2904 loss_bbox: 0.1428 loss_iou: 0.2716 d0.loss_cls: 0.3320 d0.loss_bbox: 0.1599 d0.loss_iou: 0.2894 d1.loss_cls: 0.3107 d1.loss_bbox: 0.1470 d1.loss_iou: 0.2809 d2.loss_cls: 0.3005 d2.loss_bbox: 0.1436 d2.loss_iou: 0.2744 d3.loss_cls: 0.2963 d3.loss_bbox: 0.1460 d3.loss_iou: 0.2729 d4.loss_cls: 0.2891 d4.loss_bbox: 0.1443 d4.loss_iou: 0.2731 enc_loss_cls: 0.3487 enc_loss_bbox: 0.1753 enc_loss_iou: 0.3127 dn_loss_cls: 0.0868 dn_loss_bbox: 0.1723 dn_loss_iou: 0.2261 d0.dn_loss_cls: 0.1721 d0.dn_loss_bbox: 0.3261 d0.dn_loss_iou: 0.3747 d1.dn_loss_cls: 0.1128 d1.dn_loss_bbox: 0.2055 d1.dn_loss_iou: 0.2613 d2.dn_loss_cls: 0.0978 d2.dn_loss_bbox: 0.1793 d2.dn_loss_iou: 0.2334 d3.dn_loss_cls: 0.0896 d3.dn_loss_bbox: 0.1739 d3.dn_loss_iou: 0.2272 d4.dn_loss_cls: 0.0877 d4.dn_loss_bbox: 0.1726 d4.dn_loss_iou: 0.2261 d1.loss_lmm_region: 0.1213 loss_lmm_image: 0.7587 +2024/11/08 05:56:38 - mmengine - INFO - Iter(train) [ 87500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:04:18 time: 1.0314 data_time: 0.0182 memory: 23712 grad_norm: 24.9758 loss: 9.0152 loss_cls: 0.2693 loss_bbox: 0.1385 loss_iou: 0.2517 d0.loss_cls: 0.3019 d0.loss_bbox: 0.1593 d0.loss_iou: 0.2784 d1.loss_cls: 0.2898 d1.loss_bbox: 0.1381 d1.loss_iou: 0.2565 d2.loss_cls: 0.2798 d2.loss_bbox: 0.1409 d2.loss_iou: 0.2553 d3.loss_cls: 0.2767 d3.loss_bbox: 0.1369 d3.loss_iou: 0.2519 d4.loss_cls: 0.2709 d4.loss_bbox: 0.1385 d4.loss_iou: 0.2521 enc_loss_cls: 0.3252 enc_loss_bbox: 0.1734 enc_loss_iou: 0.2979 dn_loss_cls: 0.0836 dn_loss_bbox: 0.1571 dn_loss_iou: 0.2157 d0.dn_loss_cls: 0.1614 d0.dn_loss_bbox: 0.3004 d0.dn_loss_iou: 0.3653 d1.dn_loss_cls: 0.1105 d1.dn_loss_bbox: 0.1891 d1.dn_loss_iou: 0.2505 d2.dn_loss_cls: 0.0944 d2.dn_loss_bbox: 0.1651 d2.dn_loss_iou: 0.2250 d3.dn_loss_cls: 0.0869 d3.dn_loss_bbox: 0.1580 d3.dn_loss_iou: 0.2169 d4.dn_loss_cls: 0.0830 d4.dn_loss_bbox: 0.1571 d4.dn_loss_iou: 0.2155 d1.loss_lmm_region: 0.1368 loss_lmm_image: 0.7601 +2024/11/08 05:58:21 - mmengine - INFO - Iter(train) [ 87600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:02:33 time: 1.0257 data_time: 0.0182 memory: 23153 grad_norm: 21.5584 loss: 10.3919 loss_cls: 0.3464 loss_bbox: 0.1677 loss_iou: 0.3048 d0.loss_cls: 0.3773 d0.loss_bbox: 0.1796 d0.loss_iou: 0.3263 d1.loss_cls: 0.3596 d1.loss_bbox: 0.1731 d1.loss_iou: 0.3154 d2.loss_cls: 0.3544 d2.loss_bbox: 0.1694 d2.loss_iou: 0.3096 d3.loss_cls: 0.3485 d3.loss_bbox: 0.1691 d3.loss_iou: 0.3068 d4.loss_cls: 0.3453 d4.loss_bbox: 0.1690 d4.loss_iou: 0.3074 enc_loss_cls: 0.3950 enc_loss_bbox: 0.1933 enc_loss_iou: 0.3452 dn_loss_cls: 0.0851 dn_loss_bbox: 0.1727 dn_loss_iou: 0.2303 d0.dn_loss_cls: 0.1740 d0.dn_loss_bbox: 0.3327 d0.dn_loss_iou: 0.3837 d1.dn_loss_cls: 0.1199 d1.dn_loss_bbox: 0.2061 d1.dn_loss_iou: 0.2646 d2.dn_loss_cls: 0.1013 d2.dn_loss_bbox: 0.1827 d2.dn_loss_iou: 0.2388 d3.dn_loss_cls: 0.0895 d3.dn_loss_bbox: 0.1738 d3.dn_loss_iou: 0.2314 d4.dn_loss_cls: 0.0853 d4.dn_loss_bbox: 0.1728 d4.dn_loss_iou: 0.2302 d1.loss_lmm_region: 0.1403 loss_lmm_image: 0.8135 +2024/11/08 06:00:03 - mmengine - INFO - Iter(train) [ 87700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:00:47 time: 1.0257 data_time: 0.0182 memory: 23659 grad_norm: 21.9318 loss: 9.1882 loss_cls: 0.2921 loss_bbox: 0.1435 loss_iou: 0.2732 d0.loss_cls: 0.3255 d0.loss_bbox: 0.1621 d0.loss_iou: 0.2962 d1.loss_cls: 0.3065 d1.loss_bbox: 0.1527 d1.loss_iou: 0.2838 d2.loss_cls: 0.2999 d2.loss_bbox: 0.1460 d2.loss_iou: 0.2776 d3.loss_cls: 0.2955 d3.loss_bbox: 0.1431 d3.loss_iou: 0.2739 d4.loss_cls: 0.2916 d4.loss_bbox: 0.1443 d4.loss_iou: 0.2748 enc_loss_cls: 0.3478 enc_loss_bbox: 0.1753 enc_loss_iou: 0.3176 dn_loss_cls: 0.0693 dn_loss_bbox: 0.1560 dn_loss_iou: 0.2047 d0.dn_loss_cls: 0.1496 d0.dn_loss_bbox: 0.2929 d0.dn_loss_iou: 0.3401 d1.dn_loss_cls: 0.0979 d1.dn_loss_bbox: 0.1816 d1.dn_loss_iou: 0.2327 d2.dn_loss_cls: 0.0825 d2.dn_loss_bbox: 0.1637 d2.dn_loss_iou: 0.2117 d3.dn_loss_cls: 0.0750 d3.dn_loss_bbox: 0.1573 d3.dn_loss_iou: 0.2057 d4.dn_loss_cls: 0.0699 d4.dn_loss_bbox: 0.1561 d4.dn_loss_iou: 0.2046 d1.loss_lmm_region: 0.1179 loss_lmm_image: 0.7959 +2024/11/08 06:01:45 - mmengine - INFO - Iter(train) [ 87800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:59:02 time: 1.0157 data_time: 0.0184 memory: 23373 grad_norm: 27.1093 loss: 8.5960 loss_cls: 0.2727 loss_bbox: 0.1335 loss_iou: 0.2519 d0.loss_cls: 0.3069 d0.loss_bbox: 0.1402 d0.loss_iou: 0.2662 d1.loss_cls: 0.2914 d1.loss_bbox: 0.1343 d1.loss_iou: 0.2568 d2.loss_cls: 0.2821 d2.loss_bbox: 0.1301 d2.loss_iou: 0.2516 d3.loss_cls: 0.2783 d3.loss_bbox: 0.1298 d3.loss_iou: 0.2494 d4.loss_cls: 0.2721 d4.loss_bbox: 0.1332 d4.loss_iou: 0.2517 enc_loss_cls: 0.3249 enc_loss_bbox: 0.1518 enc_loss_iou: 0.2897 dn_loss_cls: 0.0577 dn_loss_bbox: 0.1455 dn_loss_iou: 0.2020 d0.dn_loss_cls: 0.1377 d0.dn_loss_bbox: 0.2845 d0.dn_loss_iou: 0.3436 d1.dn_loss_cls: 0.0869 d1.dn_loss_bbox: 0.1766 d1.dn_loss_iou: 0.2345 d2.dn_loss_cls: 0.0693 d2.dn_loss_bbox: 0.1522 d2.dn_loss_iou: 0.2104 d3.dn_loss_cls: 0.0620 d3.dn_loss_bbox: 0.1457 d3.dn_loss_iou: 0.2030 d4.dn_loss_cls: 0.0584 d4.dn_loss_bbox: 0.1454 d4.dn_loss_iou: 0.2020 d1.loss_lmm_region: 0.1241 loss_lmm_image: 0.7561 +2024/11/08 06:03:29 - mmengine - INFO - Iter(train) [ 87900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:57:17 time: 1.0325 data_time: 0.0182 memory: 23217 grad_norm: 20.9918 loss: 8.8338 loss_cls: 0.2811 loss_bbox: 0.1254 loss_iou: 0.2172 d0.loss_cls: 0.3051 d0.loss_bbox: 0.1500 d0.loss_iou: 0.2458 d1.loss_cls: 0.2933 d1.loss_bbox: 0.1374 d1.loss_iou: 0.2282 d2.loss_cls: 0.2874 d2.loss_bbox: 0.1305 d2.loss_iou: 0.2209 d3.loss_cls: 0.2867 d3.loss_bbox: 0.1260 d3.loss_iou: 0.2170 d4.loss_cls: 0.2815 d4.loss_bbox: 0.1257 d4.loss_iou: 0.2170 enc_loss_cls: 0.3306 enc_loss_bbox: 0.1599 enc_loss_iou: 0.2634 dn_loss_cls: 0.0990 dn_loss_bbox: 0.1650 dn_loss_iou: 0.1922 d0.dn_loss_cls: 0.1736 d0.dn_loss_bbox: 0.3186 d0.dn_loss_iou: 0.3350 d1.dn_loss_cls: 0.1268 d1.dn_loss_bbox: 0.1987 d1.dn_loss_iou: 0.2259 d2.dn_loss_cls: 0.1127 d2.dn_loss_bbox: 0.1734 d2.dn_loss_iou: 0.2015 d3.dn_loss_cls: 0.1047 d3.dn_loss_bbox: 0.1661 d3.dn_loss_iou: 0.1936 d4.dn_loss_cls: 0.1006 d4.dn_loss_bbox: 0.1650 d4.dn_loss_iou: 0.1922 d1.loss_lmm_region: 0.1258 loss_lmm_image: 0.8332 +2024/11/08 06:05:11 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/08 06:05:11 - mmengine - INFO - Iter(train) [ 88000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:55:32 time: 1.0153 data_time: 0.0183 memory: 23676 grad_norm: 21.8595 loss: 9.7130 loss_cls: 0.2750 loss_bbox: 0.1575 loss_iou: 0.2551 d0.loss_cls: 0.3179 d0.loss_bbox: 0.1706 d0.loss_iou: 0.2703 d1.loss_cls: 0.2933 d1.loss_bbox: 0.1625 d1.loss_iou: 0.2609 d2.loss_cls: 0.2820 d2.loss_bbox: 0.1587 d2.loss_iou: 0.2549 d3.loss_cls: 0.2793 d3.loss_bbox: 0.1579 d3.loss_iou: 0.2545 d4.loss_cls: 0.2751 d4.loss_bbox: 0.1578 d4.loss_iou: 0.2543 enc_loss_cls: 0.3356 enc_loss_bbox: 0.1775 enc_loss_iou: 0.2840 dn_loss_cls: 0.0913 dn_loss_bbox: 0.2049 dn_loss_iou: 0.2444 d0.dn_loss_cls: 0.1786 d0.dn_loss_bbox: 0.3673 d0.dn_loss_iou: 0.4013 d1.dn_loss_cls: 0.1207 d1.dn_loss_bbox: 0.2404 d1.dn_loss_iou: 0.2793 d2.dn_loss_cls: 0.1053 d2.dn_loss_bbox: 0.2142 d2.dn_loss_iou: 0.2536 d3.dn_loss_cls: 0.0968 d3.dn_loss_bbox: 0.2056 d3.dn_loss_iou: 0.2458 d4.dn_loss_cls: 0.0922 d4.dn_loss_bbox: 0.2048 d4.dn_loss_iou: 0.2443 d1.loss_lmm_region: 0.1481 loss_lmm_image: 0.7393 +2024/11/08 06:06:54 - mmengine - INFO - Iter(train) [ 88100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:53:47 time: 1.0358 data_time: 0.0182 memory: 24536 grad_norm: 20.5221 loss: 9.2851 loss_cls: 0.2794 loss_bbox: 0.1430 loss_iou: 0.2707 d0.loss_cls: 0.3082 d0.loss_bbox: 0.1639 d0.loss_iou: 0.2877 d1.loss_cls: 0.2900 d1.loss_bbox: 0.1510 d1.loss_iou: 0.2777 d2.loss_cls: 0.2862 d2.loss_bbox: 0.1449 d2.loss_iou: 0.2721 d3.loss_cls: 0.2830 d3.loss_bbox: 0.1430 d3.loss_iou: 0.2693 d4.loss_cls: 0.2784 d4.loss_bbox: 0.1432 d4.loss_iou: 0.2707 enc_loss_cls: 0.3310 enc_loss_bbox: 0.1734 enc_loss_iou: 0.3084 dn_loss_cls: 0.0714 dn_loss_bbox: 0.1723 dn_loss_iou: 0.2266 d0.dn_loss_cls: 0.1607 d0.dn_loss_bbox: 0.3344 d0.dn_loss_iou: 0.3790 d1.dn_loss_cls: 0.1029 d1.dn_loss_bbox: 0.2050 d1.dn_loss_iou: 0.2593 d2.dn_loss_cls: 0.0854 d2.dn_loss_bbox: 0.1787 d2.dn_loss_iou: 0.2345 d3.dn_loss_cls: 0.0760 d3.dn_loss_bbox: 0.1740 d3.dn_loss_iou: 0.2283 d4.dn_loss_cls: 0.0718 d4.dn_loss_bbox: 0.1723 d4.dn_loss_iou: 0.2266 d1.loss_lmm_region: 0.1256 loss_lmm_image: 0.7253 +2024/11/08 06:08:37 - mmengine - INFO - Iter(train) [ 88200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:52:02 time: 1.0248 data_time: 0.0183 memory: 23446 grad_norm: 23.6175 loss: 8.6479 loss_cls: 0.2491 loss_bbox: 0.1272 loss_iou: 0.2618 d0.loss_cls: 0.2791 d0.loss_bbox: 0.1377 d0.loss_iou: 0.2769 d1.loss_cls: 0.2659 d1.loss_bbox: 0.1285 d1.loss_iou: 0.2676 d2.loss_cls: 0.2602 d2.loss_bbox: 0.1268 d2.loss_iou: 0.2644 d3.loss_cls: 0.2549 d3.loss_bbox: 0.1262 d3.loss_iou: 0.2621 d4.loss_cls: 0.2513 d4.loss_bbox: 0.1262 d4.loss_iou: 0.2617 enc_loss_cls: 0.3003 enc_loss_bbox: 0.1460 enc_loss_iou: 0.2937 dn_loss_cls: 0.0654 dn_loss_bbox: 0.1440 dn_loss_iou: 0.2155 d0.dn_loss_cls: 0.1483 d0.dn_loss_bbox: 0.2947 d0.dn_loss_iou: 0.3614 d1.dn_loss_cls: 0.0946 d1.dn_loss_bbox: 0.1807 d1.dn_loss_iou: 0.2504 d2.dn_loss_cls: 0.0817 d2.dn_loss_bbox: 0.1533 d2.dn_loss_iou: 0.2243 d3.dn_loss_cls: 0.0723 d3.dn_loss_bbox: 0.1450 d3.dn_loss_iou: 0.2167 d4.dn_loss_cls: 0.0662 d4.dn_loss_bbox: 0.1441 d4.dn_loss_iou: 0.2155 d1.loss_lmm_region: 0.1185 loss_lmm_image: 0.7879 +2024/11/08 06:10:19 - mmengine - INFO - Iter(train) [ 88300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:50:16 time: 1.0231 data_time: 0.0183 memory: 23577 grad_norm: 20.9937 loss: 9.0018 loss_cls: 0.2920 loss_bbox: 0.1387 loss_iou: 0.2436 d0.loss_cls: 0.3458 d0.loss_bbox: 0.1543 d0.loss_iou: 0.2639 d1.loss_cls: 0.3201 d1.loss_bbox: 0.1458 d1.loss_iou: 0.2516 d2.loss_cls: 0.3066 d2.loss_bbox: 0.1435 d2.loss_iou: 0.2469 d3.loss_cls: 0.2952 d3.loss_bbox: 0.1418 d3.loss_iou: 0.2458 d4.loss_cls: 0.2934 d4.loss_bbox: 0.1395 d4.loss_iou: 0.2437 enc_loss_cls: 0.3575 enc_loss_bbox: 0.1739 enc_loss_iou: 0.2888 dn_loss_cls: 0.0700 dn_loss_bbox: 0.1602 dn_loss_iou: 0.1974 d0.dn_loss_cls: 0.1448 d0.dn_loss_bbox: 0.3087 d0.dn_loss_iou: 0.3437 d1.dn_loss_cls: 0.0956 d1.dn_loss_bbox: 0.1996 d1.dn_loss_iou: 0.2340 d2.dn_loss_cls: 0.0807 d2.dn_loss_bbox: 0.1725 d2.dn_loss_iou: 0.2078 d3.dn_loss_cls: 0.0745 d3.dn_loss_bbox: 0.1617 d3.dn_loss_iou: 0.1992 d4.dn_loss_cls: 0.0698 d4.dn_loss_bbox: 0.1602 d4.dn_loss_iou: 0.1973 d1.loss_lmm_region: 0.1235 loss_lmm_image: 0.7685 +2024/11/08 06:12:01 - mmengine - INFO - Iter(train) [ 88400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:48:31 time: 1.0184 data_time: 0.0183 memory: 22692 grad_norm: 23.5552 loss: 9.3382 loss_cls: 0.3073 loss_bbox: 0.1352 loss_iou: 0.2390 d0.loss_cls: 0.3384 d0.loss_bbox: 0.1473 d0.loss_iou: 0.2568 d1.loss_cls: 0.3178 d1.loss_bbox: 0.1423 d1.loss_iou: 0.2483 d2.loss_cls: 0.3133 d2.loss_bbox: 0.1372 d2.loss_iou: 0.2441 d3.loss_cls: 0.3146 d3.loss_bbox: 0.1363 d3.loss_iou: 0.2406 d4.loss_cls: 0.3094 d4.loss_bbox: 0.1349 d4.loss_iou: 0.2402 enc_loss_cls: 0.3501 enc_loss_bbox: 0.1704 enc_loss_iou: 0.2824 dn_loss_cls: 0.0900 dn_loss_bbox: 0.1695 dn_loss_iou: 0.2143 d0.dn_loss_cls: 0.1769 d0.dn_loss_bbox: 0.3220 d0.dn_loss_iou: 0.3579 d1.dn_loss_cls: 0.1178 d1.dn_loss_bbox: 0.2038 d1.dn_loss_iou: 0.2459 d2.dn_loss_cls: 0.1022 d2.dn_loss_bbox: 0.1792 d2.dn_loss_iou: 0.2232 d3.dn_loss_cls: 0.0955 d3.dn_loss_bbox: 0.1719 d3.dn_loss_iou: 0.2157 d4.dn_loss_cls: 0.0914 d4.dn_loss_bbox: 0.1695 d4.dn_loss_iou: 0.2143 d1.loss_lmm_region: 0.1455 loss_lmm_image: 0.8258 +2024/11/08 06:13:45 - mmengine - INFO - Iter(train) [ 88500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:46:47 time: 1.0364 data_time: 0.0184 memory: 22781 grad_norm: 27.9741 loss: 9.6733 loss_cls: 0.2860 loss_bbox: 0.1423 loss_iou: 0.2858 d0.loss_cls: 0.3265 d0.loss_bbox: 0.1565 d0.loss_iou: 0.3066 d1.loss_cls: 0.3073 d1.loss_bbox: 0.1475 d1.loss_iou: 0.2925 d2.loss_cls: 0.2979 d2.loss_bbox: 0.1437 d2.loss_iou: 0.2859 d3.loss_cls: 0.2932 d3.loss_bbox: 0.1435 d3.loss_iou: 0.2871 d4.loss_cls: 0.2862 d4.loss_bbox: 0.1444 d4.loss_iou: 0.2878 enc_loss_cls: 0.3362 enc_loss_bbox: 0.1802 enc_loss_iou: 0.3335 dn_loss_cls: 0.0998 dn_loss_bbox: 0.1688 dn_loss_iou: 0.2273 d0.dn_loss_cls: 0.1807 d0.dn_loss_bbox: 0.3193 d0.dn_loss_iou: 0.3808 d1.dn_loss_cls: 0.1317 d1.dn_loss_bbox: 0.2078 d1.dn_loss_iou: 0.2648 d2.dn_loss_cls: 0.1156 d2.dn_loss_bbox: 0.1799 d2.dn_loss_iou: 0.2375 d3.dn_loss_cls: 0.1031 d3.dn_loss_bbox: 0.1702 d3.dn_loss_iou: 0.2287 d4.dn_loss_cls: 0.1011 d4.dn_loss_bbox: 0.1688 d4.dn_loss_iou: 0.2273 d1.loss_lmm_region: 0.1456 loss_lmm_image: 0.7440 +2024/11/08 06:15:27 - mmengine - INFO - Iter(train) [ 88600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:45:02 time: 1.0315 data_time: 0.0183 memory: 24157 grad_norm: 20.6592 loss: 9.2184 loss_cls: 0.2789 loss_bbox: 0.1274 loss_iou: 0.2301 d0.loss_cls: 0.3077 d0.loss_bbox: 0.1478 d0.loss_iou: 0.2520 d1.loss_cls: 0.2948 d1.loss_bbox: 0.1344 d1.loss_iou: 0.2421 d2.loss_cls: 0.2959 d2.loss_bbox: 0.1249 d2.loss_iou: 0.2314 d3.loss_cls: 0.2860 d3.loss_bbox: 0.1284 d3.loss_iou: 0.2320 d4.loss_cls: 0.2793 d4.loss_bbox: 0.1284 d4.loss_iou: 0.2307 enc_loss_cls: 0.3201 enc_loss_bbox: 0.1604 enc_loss_iou: 0.2725 dn_loss_cls: 0.0860 dn_loss_bbox: 0.1890 dn_loss_iou: 0.2302 d0.dn_loss_cls: 0.1776 d0.dn_loss_bbox: 0.3483 d0.dn_loss_iou: 0.3866 d1.dn_loss_cls: 0.1191 d1.dn_loss_bbox: 0.2243 d1.dn_loss_iou: 0.2659 d2.dn_loss_cls: 0.1019 d2.dn_loss_bbox: 0.1976 d2.dn_loss_iou: 0.2390 d3.dn_loss_cls: 0.0921 d3.dn_loss_bbox: 0.1904 d3.dn_loss_iou: 0.2314 d4.dn_loss_cls: 0.0870 d4.dn_loss_bbox: 0.1891 d4.dn_loss_iou: 0.2302 d1.loss_lmm_region: 0.1227 loss_lmm_image: 0.8045 +2024/11/08 06:17:10 - mmengine - INFO - Iter(train) [ 88700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:43:16 time: 1.0228 data_time: 0.0183 memory: 22863 grad_norm: 25.0632 loss: 9.0668 loss_cls: 0.2599 loss_bbox: 0.1409 loss_iou: 0.2425 d0.loss_cls: 0.2854 d0.loss_bbox: 0.1447 d0.loss_iou: 0.2540 d1.loss_cls: 0.2683 d1.loss_bbox: 0.1438 d1.loss_iou: 0.2473 d2.loss_cls: 0.2652 d2.loss_bbox: 0.1386 d2.loss_iou: 0.2420 d3.loss_cls: 0.2654 d3.loss_bbox: 0.1366 d3.loss_iou: 0.2398 d4.loss_cls: 0.2609 d4.loss_bbox: 0.1393 d4.loss_iou: 0.2419 enc_loss_cls: 0.2986 enc_loss_bbox: 0.1542 enc_loss_iou: 0.2717 dn_loss_cls: 0.0954 dn_loss_bbox: 0.1808 dn_loss_iou: 0.2340 d0.dn_loss_cls: 0.1720 d0.dn_loss_bbox: 0.3269 d0.dn_loss_iou: 0.3816 d1.dn_loss_cls: 0.1190 d1.dn_loss_bbox: 0.2149 d1.dn_loss_iou: 0.2671 d2.dn_loss_cls: 0.1056 d2.dn_loss_bbox: 0.1890 d2.dn_loss_iou: 0.2420 d3.dn_loss_cls: 0.0962 d3.dn_loss_bbox: 0.1812 d3.dn_loss_iou: 0.2351 d4.dn_loss_cls: 0.0945 d4.dn_loss_bbox: 0.1808 d4.dn_loss_iou: 0.2339 d1.loss_lmm_region: 0.1353 loss_lmm_image: 0.7403 +2024/11/08 06:18:51 - mmengine - INFO - Iter(train) [ 88800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:41:31 time: 1.0055 data_time: 0.0184 memory: 23541 grad_norm: 21.5969 loss: 10.0952 loss_cls: 0.2794 loss_bbox: 0.1650 loss_iou: 0.2791 d0.loss_cls: 0.3120 d0.loss_bbox: 0.1752 d0.loss_iou: 0.2992 d1.loss_cls: 0.2983 d1.loss_bbox: 0.1667 d1.loss_iou: 0.2870 d2.loss_cls: 0.2899 d2.loss_bbox: 0.1663 d2.loss_iou: 0.2815 d3.loss_cls: 0.2857 d3.loss_bbox: 0.1640 d3.loss_iou: 0.2799 d4.loss_cls: 0.2807 d4.loss_bbox: 0.1651 d4.loss_iou: 0.2799 enc_loss_cls: 0.3288 enc_loss_bbox: 0.1927 enc_loss_iou: 0.3165 dn_loss_cls: 0.0881 dn_loss_bbox: 0.2162 dn_loss_iou: 0.2619 d0.dn_loss_cls: 0.1680 d0.dn_loss_bbox: 0.3746 d0.dn_loss_iou: 0.4155 d1.dn_loss_cls: 0.1183 d1.dn_loss_bbox: 0.2455 d1.dn_loss_iou: 0.2929 d2.dn_loss_cls: 0.1013 d2.dn_loss_bbox: 0.2227 d2.dn_loss_iou: 0.2683 d3.dn_loss_cls: 0.0925 d3.dn_loss_bbox: 0.2168 d3.dn_loss_iou: 0.2629 d4.dn_loss_cls: 0.0883 d4.dn_loss_bbox: 0.2160 d4.dn_loss_iou: 0.2619 d1.loss_lmm_region: 0.1198 loss_lmm_image: 0.7707 +2024/11/08 06:20:34 - mmengine - INFO - Iter(train) [ 88900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:39:45 time: 1.0218 data_time: 0.0183 memory: 23246 grad_norm: 23.4068 loss: 9.5081 loss_cls: 0.2837 loss_bbox: 0.1417 loss_iou: 0.2573 d0.loss_cls: 0.3063 d0.loss_bbox: 0.1576 d0.loss_iou: 0.2804 d1.loss_cls: 0.3045 d1.loss_bbox: 0.1437 d1.loss_iou: 0.2626 d2.loss_cls: 0.2997 d2.loss_bbox: 0.1416 d2.loss_iou: 0.2599 d3.loss_cls: 0.2936 d3.loss_bbox: 0.1399 d3.loss_iou: 0.2576 d4.loss_cls: 0.2844 d4.loss_bbox: 0.1425 d4.loss_iou: 0.2578 enc_loss_cls: 0.3284 enc_loss_bbox: 0.1714 enc_loss_iou: 0.2990 dn_loss_cls: 0.0831 dn_loss_bbox: 0.1868 dn_loss_iou: 0.2291 d0.dn_loss_cls: 0.1695 d0.dn_loss_bbox: 0.3563 d0.dn_loss_iou: 0.3890 d1.dn_loss_cls: 0.1132 d1.dn_loss_bbox: 0.2248 d1.dn_loss_iou: 0.2645 d2.dn_loss_cls: 0.0981 d2.dn_loss_bbox: 0.1981 d2.dn_loss_iou: 0.2385 d3.dn_loss_cls: 0.0876 d3.dn_loss_bbox: 0.1880 d3.dn_loss_iou: 0.2307 d4.dn_loss_cls: 0.0830 d4.dn_loss_bbox: 0.1867 d4.dn_loss_iou: 0.2291 d1.loss_lmm_region: 0.1187 loss_lmm_image: 0.8198 +2024/11/08 06:22:17 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/08 06:22:17 - mmengine - INFO - Iter(train) [ 89000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:38:01 time: 1.0365 data_time: 0.0185 memory: 24104 grad_norm: 22.4079 loss: 9.5186 loss_cls: 0.2949 loss_bbox: 0.1405 loss_iou: 0.2546 d0.loss_cls: 0.3288 d0.loss_bbox: 0.1513 d0.loss_iou: 0.2724 d1.loss_cls: 0.3104 d1.loss_bbox: 0.1449 d1.loss_iou: 0.2622 d2.loss_cls: 0.3055 d2.loss_bbox: 0.1369 d2.loss_iou: 0.2538 d3.loss_cls: 0.3004 d3.loss_bbox: 0.1370 d3.loss_iou: 0.2544 d4.loss_cls: 0.2963 d4.loss_bbox: 0.1401 d4.loss_iou: 0.2536 enc_loss_cls: 0.3484 enc_loss_bbox: 0.1638 enc_loss_iou: 0.2951 dn_loss_cls: 0.0849 dn_loss_bbox: 0.1917 dn_loss_iou: 0.2349 d0.dn_loss_cls: 0.1710 d0.dn_loss_bbox: 0.3455 d0.dn_loss_iou: 0.3870 d1.dn_loss_cls: 0.1139 d1.dn_loss_bbox: 0.2255 d1.dn_loss_iou: 0.2702 d2.dn_loss_cls: 0.0971 d2.dn_loss_bbox: 0.1990 d2.dn_loss_iou: 0.2432 d3.dn_loss_cls: 0.0886 d3.dn_loss_bbox: 0.1922 d3.dn_loss_iou: 0.2357 d4.dn_loss_cls: 0.0844 d4.dn_loss_bbox: 0.1918 d4.dn_loss_iou: 0.2348 d1.loss_lmm_region: 0.1175 loss_lmm_image: 0.7645 +2024/11/08 06:24:00 - mmengine - INFO - Iter(train) [ 89100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:36:16 time: 1.0225 data_time: 0.0182 memory: 24047 grad_norm: 21.3737 loss: 9.3323 loss_cls: 0.2953 loss_bbox: 0.1362 loss_iou: 0.2347 d0.loss_cls: 0.3301 d0.loss_bbox: 0.1490 d0.loss_iou: 0.2511 d1.loss_cls: 0.3212 d1.loss_bbox: 0.1355 d1.loss_iou: 0.2350 d2.loss_cls: 0.3085 d2.loss_bbox: 0.1343 d2.loss_iou: 0.2351 d3.loss_cls: 0.2998 d3.loss_bbox: 0.1300 d3.loss_iou: 0.2340 d4.loss_cls: 0.2956 d4.loss_bbox: 0.1347 d4.loss_iou: 0.2341 enc_loss_cls: 0.3377 enc_loss_bbox: 0.1637 enc_loss_iou: 0.2752 dn_loss_cls: 0.1073 dn_loss_bbox: 0.1687 dn_loss_iou: 0.2145 d0.dn_loss_cls: 0.1931 d0.dn_loss_bbox: 0.3492 d0.dn_loss_iou: 0.3757 d1.dn_loss_cls: 0.1338 d1.dn_loss_bbox: 0.2157 d1.dn_loss_iou: 0.2554 d2.dn_loss_cls: 0.1202 d2.dn_loss_bbox: 0.1846 d2.dn_loss_iou: 0.2268 d3.dn_loss_cls: 0.1124 d3.dn_loss_bbox: 0.1711 d3.dn_loss_iou: 0.2166 d4.dn_loss_cls: 0.1069 d4.dn_loss_bbox: 0.1687 d4.dn_loss_iou: 0.2144 d1.loss_lmm_region: 0.1225 loss_lmm_image: 0.8039 +2024/11/08 06:25:43 - mmengine - INFO - Iter(train) [ 89200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:34:31 time: 1.0210 data_time: 0.0183 memory: 23357 grad_norm: 21.8486 loss: 9.4705 loss_cls: 0.2998 loss_bbox: 0.1483 loss_iou: 0.2366 d0.loss_cls: 0.3287 d0.loss_bbox: 0.1606 d0.loss_iou: 0.2510 d1.loss_cls: 0.3143 d1.loss_bbox: 0.1504 d1.loss_iou: 0.2389 d2.loss_cls: 0.3051 d2.loss_bbox: 0.1474 d2.loss_iou: 0.2350 d3.loss_cls: 0.3046 d3.loss_bbox: 0.1489 d3.loss_iou: 0.2358 d4.loss_cls: 0.3005 d4.loss_bbox: 0.1486 d4.loss_iou: 0.2367 enc_loss_cls: 0.3416 enc_loss_bbox: 0.1731 enc_loss_iou: 0.2721 dn_loss_cls: 0.0934 dn_loss_bbox: 0.1951 dn_loss_iou: 0.2212 d0.dn_loss_cls: 0.1692 d0.dn_loss_bbox: 0.3326 d0.dn_loss_iou: 0.3633 d1.dn_loss_cls: 0.1202 d1.dn_loss_bbox: 0.2233 d1.dn_loss_iou: 0.2514 d2.dn_loss_cls: 0.1051 d2.dn_loss_bbox: 0.2022 d2.dn_loss_iou: 0.2285 d3.dn_loss_cls: 0.0984 d3.dn_loss_bbox: 0.1952 d3.dn_loss_iou: 0.2223 d4.dn_loss_cls: 0.0949 d4.dn_loss_bbox: 0.1951 d4.dn_loss_iou: 0.2212 d1.loss_lmm_region: 0.1475 loss_lmm_image: 0.8123 +2024/11/08 06:27:25 - mmengine - INFO - Iter(train) [ 89300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:32:46 time: 1.0352 data_time: 0.0184 memory: 23766 grad_norm: 22.5508 loss: 9.8188 loss_cls: 0.2856 loss_bbox: 0.1629 loss_iou: 0.2763 d0.loss_cls: 0.3206 d0.loss_bbox: 0.1751 d0.loss_iou: 0.2949 d1.loss_cls: 0.3081 d1.loss_bbox: 0.1609 d1.loss_iou: 0.2790 d2.loss_cls: 0.3007 d2.loss_bbox: 0.1601 d2.loss_iou: 0.2751 d3.loss_cls: 0.2924 d3.loss_bbox: 0.1604 d3.loss_iou: 0.2742 d4.loss_cls: 0.2871 d4.loss_bbox: 0.1627 d4.loss_iou: 0.2757 enc_loss_cls: 0.3376 enc_loss_bbox: 0.1861 enc_loss_iou: 0.3117 dn_loss_cls: 0.0906 dn_loss_bbox: 0.1760 dn_loss_iou: 0.2338 d0.dn_loss_cls: 0.1864 d0.dn_loss_bbox: 0.3432 d0.dn_loss_iou: 0.3887 d1.dn_loss_cls: 0.1299 d1.dn_loss_bbox: 0.2156 d1.dn_loss_iou: 0.2693 d2.dn_loss_cls: 0.1120 d2.dn_loss_bbox: 0.1849 d2.dn_loss_iou: 0.2414 d3.dn_loss_cls: 0.0977 d3.dn_loss_bbox: 0.1777 d3.dn_loss_iou: 0.2357 d4.dn_loss_cls: 0.0906 d4.dn_loss_bbox: 0.1759 d4.dn_loss_iou: 0.2337 d1.loss_lmm_region: 0.1457 loss_lmm_image: 0.8031 +2024/11/08 06:29:08 - mmengine - INFO - Iter(train) [ 89400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:31:01 time: 1.0224 data_time: 0.0182 memory: 23741 grad_norm: 21.7031 loss: 10.3497 loss_cls: 0.2949 loss_bbox: 0.1628 loss_iou: 0.3116 d0.loss_cls: 0.3286 d0.loss_bbox: 0.1786 d0.loss_iou: 0.3308 d1.loss_cls: 0.3119 d1.loss_bbox: 0.1676 d1.loss_iou: 0.3182 d2.loss_cls: 0.3027 d2.loss_bbox: 0.1667 d2.loss_iou: 0.3172 d3.loss_cls: 0.2996 d3.loss_bbox: 0.1637 d3.loss_iou: 0.3119 d4.loss_cls: 0.2922 d4.loss_bbox: 0.1639 d4.loss_iou: 0.3143 enc_loss_cls: 0.3450 enc_loss_bbox: 0.1890 enc_loss_iou: 0.3495 dn_loss_cls: 0.0835 dn_loss_bbox: 0.2064 dn_loss_iou: 0.2483 d0.dn_loss_cls: 0.1808 d0.dn_loss_bbox: 0.3682 d0.dn_loss_iou: 0.4021 d1.dn_loss_cls: 0.1211 d1.dn_loss_bbox: 0.2472 d1.dn_loss_iou: 0.2854 d2.dn_loss_cls: 0.1010 d2.dn_loss_bbox: 0.2145 d2.dn_loss_iou: 0.2576 d3.dn_loss_cls: 0.0904 d3.dn_loss_bbox: 0.2084 d3.dn_loss_iou: 0.2503 d4.dn_loss_cls: 0.0852 d4.dn_loss_bbox: 0.2066 d4.dn_loss_iou: 0.2484 d1.loss_lmm_region: 0.1501 loss_lmm_image: 0.7734 +2024/11/08 06:30:51 - mmengine - INFO - Iter(train) [ 89500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:29:16 time: 1.0310 data_time: 0.0185 memory: 24302 grad_norm: 22.9879 loss: 8.3898 loss_cls: 0.2534 loss_bbox: 0.1251 loss_iou: 0.2138 d0.loss_cls: 0.2817 d0.loss_bbox: 0.1366 d0.loss_iou: 0.2268 d1.loss_cls: 0.2713 d1.loss_bbox: 0.1249 d1.loss_iou: 0.2160 d2.loss_cls: 0.2628 d2.loss_bbox: 0.1232 d2.loss_iou: 0.2133 d3.loss_cls: 0.2598 d3.loss_bbox: 0.1237 d3.loss_iou: 0.2125 d4.loss_cls: 0.2560 d4.loss_bbox: 0.1229 d4.loss_iou: 0.2110 enc_loss_cls: 0.3022 enc_loss_bbox: 0.1513 enc_loss_iou: 0.2465 dn_loss_cls: 0.0756 dn_loss_bbox: 0.1563 dn_loss_iou: 0.2015 d0.dn_loss_cls: 0.1559 d0.dn_loss_bbox: 0.3224 d0.dn_loss_iou: 0.3576 d1.dn_loss_cls: 0.1064 d1.dn_loss_bbox: 0.1964 d1.dn_loss_iou: 0.2364 d2.dn_loss_cls: 0.0899 d2.dn_loss_bbox: 0.1694 d2.dn_loss_iou: 0.2118 d3.dn_loss_cls: 0.0803 d3.dn_loss_bbox: 0.1584 d3.dn_loss_iou: 0.2035 d4.dn_loss_cls: 0.0753 d4.dn_loss_bbox: 0.1564 d4.dn_loss_iou: 0.2015 d1.loss_lmm_region: 0.1347 loss_lmm_image: 0.7651 +2024/11/08 06:32:33 - mmengine - INFO - Iter(train) [ 89600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:27:31 time: 1.0161 data_time: 0.0183 memory: 23684 grad_norm: 23.4718 loss: 11.2425 loss_cls: 0.3441 loss_bbox: 0.1963 loss_iou: 0.3415 d0.loss_cls: 0.3810 d0.loss_bbox: 0.2119 d0.loss_iou: 0.3641 d1.loss_cls: 0.3639 d1.loss_bbox: 0.2041 d1.loss_iou: 0.3495 d2.loss_cls: 0.3544 d2.loss_bbox: 0.1964 d2.loss_iou: 0.3430 d3.loss_cls: 0.3471 d3.loss_bbox: 0.1947 d3.loss_iou: 0.3419 d4.loss_cls: 0.3434 d4.loss_bbox: 0.1960 d4.loss_iou: 0.3408 enc_loss_cls: 0.4081 enc_loss_bbox: 0.2234 enc_loss_iou: 0.3874 dn_loss_cls: 0.0854 dn_loss_bbox: 0.2170 dn_loss_iou: 0.2628 d0.dn_loss_cls: 0.1648 d0.dn_loss_bbox: 0.3758 d0.dn_loss_iou: 0.4174 d1.dn_loss_cls: 0.1146 d1.dn_loss_bbox: 0.2513 d1.dn_loss_iou: 0.2963 d2.dn_loss_cls: 0.0995 d2.dn_loss_bbox: 0.2252 d2.dn_loss_iou: 0.2716 d3.dn_loss_cls: 0.0928 d3.dn_loss_bbox: 0.2167 d3.dn_loss_iou: 0.2637 d4.dn_loss_cls: 0.0860 d4.dn_loss_bbox: 0.2171 d4.dn_loss_iou: 0.2626 d1.loss_lmm_region: 0.1348 loss_lmm_image: 0.7540 +2024/11/08 06:34:16 - mmengine - INFO - Iter(train) [ 89700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:25:46 time: 1.0338 data_time: 0.0184 memory: 23823 grad_norm: 22.0811 loss: 9.3131 loss_cls: 0.3043 loss_bbox: 0.1240 loss_iou: 0.2621 d0.loss_cls: 0.3408 d0.loss_bbox: 0.1414 d0.loss_iou: 0.2853 d1.loss_cls: 0.3189 d1.loss_bbox: 0.1317 d1.loss_iou: 0.2750 d2.loss_cls: 0.3127 d2.loss_bbox: 0.1259 d2.loss_iou: 0.2641 d3.loss_cls: 0.3084 d3.loss_bbox: 0.1237 d3.loss_iou: 0.2623 d4.loss_cls: 0.3031 d4.loss_bbox: 0.1248 d4.loss_iou: 0.2621 enc_loss_cls: 0.3545 enc_loss_bbox: 0.1545 enc_loss_iou: 0.3058 dn_loss_cls: 0.0957 dn_loss_bbox: 0.1565 dn_loss_iou: 0.2096 d0.dn_loss_cls: 0.1810 d0.dn_loss_bbox: 0.3031 d0.dn_loss_iou: 0.3607 d1.dn_loss_cls: 0.1257 d1.dn_loss_bbox: 0.1930 d1.dn_loss_iou: 0.2454 d2.dn_loss_cls: 0.1109 d2.dn_loss_bbox: 0.1659 d2.dn_loss_iou: 0.2198 d3.dn_loss_cls: 0.1016 d3.dn_loss_bbox: 0.1588 d3.dn_loss_iou: 0.2117 d4.dn_loss_cls: 0.0962 d4.dn_loss_bbox: 0.1566 d4.dn_loss_iou: 0.2096 d1.loss_lmm_region: 0.1269 loss_lmm_image: 0.7989 +2024/11/08 06:35:59 - mmengine - INFO - Iter(train) [ 89800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:24:01 time: 1.0226 data_time: 0.0182 memory: 23221 grad_norm: 22.2112 loss: 9.7278 loss_cls: 0.2618 loss_bbox: 0.1629 loss_iou: 0.3044 d0.loss_cls: 0.3016 d0.loss_bbox: 0.1731 d0.loss_iou: 0.3207 d1.loss_cls: 0.2846 d1.loss_bbox: 0.1595 d1.loss_iou: 0.3076 d2.loss_cls: 0.2761 d2.loss_bbox: 0.1616 d2.loss_iou: 0.3042 d3.loss_cls: 0.2684 d3.loss_bbox: 0.1620 d3.loss_iou: 0.3055 d4.loss_cls: 0.2652 d4.loss_bbox: 0.1621 d4.loss_iou: 0.3041 enc_loss_cls: 0.3237 enc_loss_bbox: 0.1842 enc_loss_iou: 0.3409 dn_loss_cls: 0.0713 dn_loss_bbox: 0.1783 dn_loss_iou: 0.2417 d0.dn_loss_cls: 0.1525 d0.dn_loss_bbox: 0.3458 d0.dn_loss_iou: 0.3917 d1.dn_loss_cls: 0.0967 d1.dn_loss_bbox: 0.2119 d1.dn_loss_iou: 0.2722 d2.dn_loss_cls: 0.0835 d2.dn_loss_bbox: 0.1870 d2.dn_loss_iou: 0.2489 d3.dn_loss_cls: 0.0753 d3.dn_loss_bbox: 0.1803 d3.dn_loss_iou: 0.2432 d4.dn_loss_cls: 0.0724 d4.dn_loss_bbox: 0.1783 d4.dn_loss_iou: 0.2416 d1.loss_lmm_region: 0.1192 loss_lmm_image: 0.8017 +2024/11/08 06:37:42 - mmengine - INFO - Iter(train) [ 89900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:22:16 time: 1.0327 data_time: 0.0183 memory: 23943 grad_norm: 22.5217 loss: 10.3351 loss_cls: 0.3411 loss_bbox: 0.1607 loss_iou: 0.3155 d0.loss_cls: 0.3757 d0.loss_bbox: 0.1824 d0.loss_iou: 0.3409 d1.loss_cls: 0.3601 d1.loss_bbox: 0.1659 d1.loss_iou: 0.3275 d2.loss_cls: 0.3443 d2.loss_bbox: 0.1627 d2.loss_iou: 0.3207 d3.loss_cls: 0.3401 d3.loss_bbox: 0.1601 d3.loss_iou: 0.3173 d4.loss_cls: 0.3395 d4.loss_bbox: 0.1604 d4.loss_iou: 0.3153 enc_loss_cls: 0.3927 enc_loss_bbox: 0.1910 enc_loss_iou: 0.3627 dn_loss_cls: 0.0831 dn_loss_bbox: 0.1572 dn_loss_iou: 0.2486 d0.dn_loss_cls: 0.1750 d0.dn_loss_bbox: 0.3028 d0.dn_loss_iou: 0.4072 d1.dn_loss_cls: 0.1165 d1.dn_loss_bbox: 0.1880 d1.dn_loss_iou: 0.2833 d2.dn_loss_cls: 0.0975 d2.dn_loss_bbox: 0.1660 d2.dn_loss_iou: 0.2598 d3.dn_loss_cls: 0.0865 d3.dn_loss_bbox: 0.1593 d3.dn_loss_iou: 0.2508 d4.dn_loss_cls: 0.0829 d4.dn_loss_bbox: 0.1571 d4.dn_loss_iou: 0.2485 d1.loss_lmm_region: 0.1231 loss_lmm_image: 0.7653 +2024/11/08 06:39:25 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/08 06:39:25 - mmengine - INFO - Iter(train) [ 90000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:20:32 time: 1.0394 data_time: 0.0183 memory: 22497 grad_norm: 20.2154 loss: 9.1928 loss_cls: 0.2702 loss_bbox: 0.1525 loss_iou: 0.2496 d0.loss_cls: 0.3060 d0.loss_bbox: 0.1650 d0.loss_iou: 0.2663 d1.loss_cls: 0.2902 d1.loss_bbox: 0.1588 d1.loss_iou: 0.2564 d2.loss_cls: 0.2856 d2.loss_bbox: 0.1551 d2.loss_iou: 0.2511 d3.loss_cls: 0.2789 d3.loss_bbox: 0.1515 d3.loss_iou: 0.2486 d4.loss_cls: 0.2712 d4.loss_bbox: 0.1529 d4.loss_iou: 0.2490 enc_loss_cls: 0.3213 enc_loss_bbox: 0.1797 enc_loss_iou: 0.2885 dn_loss_cls: 0.0827 dn_loss_bbox: 0.1759 dn_loss_iou: 0.2191 d0.dn_loss_cls: 0.1654 d0.dn_loss_bbox: 0.3083 d0.dn_loss_iou: 0.3580 d1.dn_loss_cls: 0.1090 d1.dn_loss_bbox: 0.2015 d1.dn_loss_iou: 0.2478 d2.dn_loss_cls: 0.0949 d2.dn_loss_bbox: 0.1816 d2.dn_loss_iou: 0.2252 d3.dn_loss_cls: 0.0878 d3.dn_loss_bbox: 0.1760 d3.dn_loss_iou: 0.2201 d4.dn_loss_cls: 0.0831 d4.dn_loss_bbox: 0.1760 d4.dn_loss_iou: 0.2191 d1.loss_lmm_region: 0.1331 loss_lmm_image: 0.7794 +2024/11/08 06:39:25 - mmengine - INFO - Saving checkpoint at 90000 iterations +2024/11/08 06:47:26 - mmengine - INFO - Iter(val) [100/602] eta: 0:18:21 time: 2.2979 data_time: 0.0016 memory: 5362 +2024/11/08 06:51:49 - mmengine - INFO - Iter(val) [200/602] eta: 0:16:10 time: 2.7529 data_time: 0.0017 memory: 5371 +2024/11/08 06:57:04 - mmengine - INFO - Iter(val) [300/602] eta: 0:13:22 time: 3.2439 data_time: 0.0017 memory: 5366 +2024/11/08 07:03:10 - mmengine - INFO - Iter(val) [400/602] eta: 0:09:47 time: 3.7972 data_time: 0.0017 memory: 5371 +2024/11/08 07:09:55 - mmengine - INFO - Iter(val) [500/602] eta: 0:05:19 time: 4.0512 data_time: 0.0017 memory: 5357 +2024/11/08 07:17:24 - mmengine - INFO - Iter(val) [600/602] eta: 0:00:06 time: 4.4541 data_time: 0.0018 memory: 5371 +2024/11/08 07:24:32 - mmengine - INFO - +=== +95 classes had less than 10000 detections! + Outputting 10000 detections for each class will improve AP further. + === +2024/11/08 07:27:00 - mmengine - INFO - mAP_copypaste: {'AP': 0.42849298744806263, 'AP50': 0.5396882119919324, 'AP75': 0.45330640787472026, 'APs': 0.39052467298078275, 'APm': 0.5540827512400439, 'APl': 0.6136133870845694, 'APr': 0.34580765270132396, 'APc': 0.3752842429858971, 'APf': 0.490562371179988} +2024/11/08 07:27:24 - mmengine - INFO - Iter(val) [602/602] lvis_fixed_ap/AP: 0.4285 lvis_fixed_ap/AP50: 0.5397 lvis_fixed_ap/AP75: 0.4533 lvis_fixed_ap/APs: 0.3905 lvis_fixed_ap/APm: 0.5541 lvis_fixed_ap/APl: 0.6136 lvis_fixed_ap/APr: 0.3458 lvis_fixed_ap/APc: 0.3753 lvis_fixed_ap/APf: 0.4906 data_time: 0.0019 time: 3.3675 +2024/11/08 07:29:06 - mmengine - INFO - Iter(train) [ 90100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:25:19 time: 1.0084 data_time: 0.0183 memory: 23773 grad_norm: 22.8213 loss: 10.4815 loss_cls: 0.2951 loss_bbox: 0.1685 loss_iou: 0.3166 d0.loss_cls: 0.3415 d0.loss_bbox: 0.1873 d0.loss_iou: 0.3373 d1.loss_cls: 0.3172 d1.loss_bbox: 0.1759 d1.loss_iou: 0.3263 d2.loss_cls: 0.3074 d2.loss_bbox: 0.1733 d2.loss_iou: 0.3192 d3.loss_cls: 0.3034 d3.loss_bbox: 0.1684 d3.loss_iou: 0.3140 d4.loss_cls: 0.2980 d4.loss_bbox: 0.1672 d4.loss_iou: 0.3123 enc_loss_cls: 0.3634 enc_loss_bbox: 0.1963 enc_loss_iou: 0.3521 dn_loss_cls: 0.0885 dn_loss_bbox: 0.1908 dn_loss_iou: 0.2527 d0.dn_loss_cls: 0.1930 d0.dn_loss_bbox: 0.3781 d0.dn_loss_iou: 0.4201 d1.dn_loss_cls: 0.1296 d1.dn_loss_bbox: 0.2339 d1.dn_loss_iou: 0.2882 d2.dn_loss_cls: 0.1116 d2.dn_loss_bbox: 0.2032 d2.dn_loss_iou: 0.2633 d3.dn_loss_cls: 0.0950 d3.dn_loss_bbox: 0.1926 d3.dn_loss_iou: 0.2548 d4.dn_loss_cls: 0.0895 d4.dn_loss_bbox: 0.1907 d4.dn_loss_iou: 0.2527 d1.loss_lmm_region: 0.1358 loss_lmm_image: 0.7767 +2024/11/08 07:30:48 - mmengine - INFO - Iter(train) [ 90200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:23:32 time: 1.0218 data_time: 0.0183 memory: 24074 grad_norm: 21.6807 loss: 10.9566 loss_cls: 0.3968 loss_bbox: 0.1736 loss_iou: 0.3370 d0.loss_cls: 0.4317 d0.loss_bbox: 0.1905 d0.loss_iou: 0.3540 d1.loss_cls: 0.4121 d1.loss_bbox: 0.1788 d1.loss_iou: 0.3421 d2.loss_cls: 0.4074 d2.loss_bbox: 0.1749 d2.loss_iou: 0.3366 d3.loss_cls: 0.4047 d3.loss_bbox: 0.1720 d3.loss_iou: 0.3330 d4.loss_cls: 0.3977 d4.loss_bbox: 0.1736 d4.loss_iou: 0.3366 enc_loss_cls: 0.4558 enc_loss_bbox: 0.2049 enc_loss_iou: 0.3779 dn_loss_cls: 0.0904 dn_loss_bbox: 0.1542 dn_loss_iou: 0.2334 d0.dn_loss_cls: 0.1774 d0.dn_loss_bbox: 0.3059 d0.dn_loss_iou: 0.3894 d1.dn_loss_cls: 0.1233 d1.dn_loss_bbox: 0.1867 d1.dn_loss_iou: 0.2676 d2.dn_loss_cls: 0.1068 d2.dn_loss_bbox: 0.1647 d2.dn_loss_iou: 0.2429 d3.dn_loss_cls: 0.0950 d3.dn_loss_bbox: 0.1562 d3.dn_loss_iou: 0.2346 d4.dn_loss_cls: 0.0925 d4.dn_loss_bbox: 0.1542 d4.dn_loss_iou: 0.2333 d1.loss_lmm_region: 0.1572 loss_lmm_image: 0.7992 +2024/11/08 07:32:30 - mmengine - INFO - Iter(train) [ 90300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:21:46 time: 1.0223 data_time: 0.0184 memory: 25065 grad_norm: 19.8867 loss: 10.3285 loss_cls: 0.3385 loss_bbox: 0.1712 loss_iou: 0.3038 d0.loss_cls: 0.3841 d0.loss_bbox: 0.1873 d0.loss_iou: 0.3184 d1.loss_cls: 0.3591 d1.loss_bbox: 0.1815 d1.loss_iou: 0.3128 d2.loss_cls: 0.3482 d2.loss_bbox: 0.1742 d2.loss_iou: 0.3059 d3.loss_cls: 0.3439 d3.loss_bbox: 0.1719 d3.loss_iou: 0.3048 d4.loss_cls: 0.3397 d4.loss_bbox: 0.1714 d4.loss_iou: 0.3039 enc_loss_cls: 0.3999 enc_loss_bbox: 0.2030 enc_loss_iou: 0.3416 dn_loss_cls: 0.0750 dn_loss_bbox: 0.1867 dn_loss_iou: 0.2173 d0.dn_loss_cls: 0.1591 d0.dn_loss_bbox: 0.3521 d0.dn_loss_iou: 0.3708 d1.dn_loss_cls: 0.1026 d1.dn_loss_bbox: 0.2221 d1.dn_loss_iou: 0.2514 d2.dn_loss_cls: 0.0870 d2.dn_loss_bbox: 0.1947 d2.dn_loss_iou: 0.2250 d3.dn_loss_cls: 0.0794 d3.dn_loss_bbox: 0.1878 d3.dn_loss_iou: 0.2189 d4.dn_loss_cls: 0.0749 d4.dn_loss_bbox: 0.1867 d4.dn_loss_iou: 0.2173 d1.loss_lmm_region: 0.1478 loss_lmm_image: 0.8069 +2024/11/08 07:34:11 - mmengine - INFO - Iter(train) [ 90400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:19:59 time: 1.0174 data_time: 0.0184 memory: 23555 grad_norm: 24.2143 loss: 8.9600 loss_cls: 0.2590 loss_bbox: 0.1389 loss_iou: 0.2666 d0.loss_cls: 0.2905 d0.loss_bbox: 0.1571 d0.loss_iou: 0.2861 d1.loss_cls: 0.2766 d1.loss_bbox: 0.1459 d1.loss_iou: 0.2721 d2.loss_cls: 0.2696 d2.loss_bbox: 0.1452 d2.loss_iou: 0.2689 d3.loss_cls: 0.2647 d3.loss_bbox: 0.1392 d3.loss_iou: 0.2663 d4.loss_cls: 0.2600 d4.loss_bbox: 0.1399 d4.loss_iou: 0.2671 enc_loss_cls: 0.3127 enc_loss_bbox: 0.1631 enc_loss_iou: 0.2991 dn_loss_cls: 0.0679 dn_loss_bbox: 0.1517 dn_loss_iou: 0.2151 d0.dn_loss_cls: 0.1522 d0.dn_loss_bbox: 0.3002 d0.dn_loss_iou: 0.3652 d1.dn_loss_cls: 0.0971 d1.dn_loss_bbox: 0.1866 d1.dn_loss_iou: 0.2488 d2.dn_loss_cls: 0.0801 d2.dn_loss_bbox: 0.1623 d2.dn_loss_iou: 0.2242 d3.dn_loss_cls: 0.0735 d3.dn_loss_bbox: 0.1539 d3.dn_loss_iou: 0.2172 d4.dn_loss_cls: 0.0687 d4.dn_loss_bbox: 0.1516 d4.dn_loss_iou: 0.2151 d1.loss_lmm_region: 0.1224 loss_lmm_image: 0.8177 +2024/11/08 07:35:53 - mmengine - INFO - Iter(train) [ 90500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:18:12 time: 1.0096 data_time: 0.0184 memory: 23164 grad_norm: 34.5664 loss: 8.6271 loss_cls: 0.2456 loss_bbox: 0.1380 loss_iou: 0.2452 d0.loss_cls: 0.2774 d0.loss_bbox: 0.1517 d0.loss_iou: 0.2632 d1.loss_cls: 0.2681 d1.loss_bbox: 0.1412 d1.loss_iou: 0.2506 d2.loss_cls: 0.2579 d2.loss_bbox: 0.1390 d2.loss_iou: 0.2446 d3.loss_cls: 0.2523 d3.loss_bbox: 0.1349 d3.loss_iou: 0.2422 d4.loss_cls: 0.2469 d4.loss_bbox: 0.1379 d4.loss_iou: 0.2449 enc_loss_cls: 0.2942 enc_loss_bbox: 0.1682 enc_loss_iou: 0.2833 dn_loss_cls: 0.0696 dn_loss_bbox: 0.1565 dn_loss_iou: 0.2086 d0.dn_loss_cls: 0.1421 d0.dn_loss_bbox: 0.3066 d0.dn_loss_iou: 0.3520 d1.dn_loss_cls: 0.0943 d1.dn_loss_bbox: 0.1895 d1.dn_loss_iou: 0.2391 d2.dn_loss_cls: 0.0812 d2.dn_loss_bbox: 0.1658 d2.dn_loss_iou: 0.2166 d3.dn_loss_cls: 0.0739 d3.dn_loss_bbox: 0.1582 d3.dn_loss_iou: 0.2100 d4.dn_loss_cls: 0.0694 d4.dn_loss_bbox: 0.1564 d4.dn_loss_iou: 0.2086 d1.loss_lmm_region: 0.1148 loss_lmm_image: 0.7868 +2024/11/08 07:37:34 - mmengine - INFO - Iter(train) [ 90600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:16:25 time: 1.0184 data_time: 0.0183 memory: 23643 grad_norm: 22.8368 loss: 9.8849 loss_cls: 0.2997 loss_bbox: 0.1522 loss_iou: 0.2992 d0.loss_cls: 0.3400 d0.loss_bbox: 0.1608 d0.loss_iou: 0.3164 d1.loss_cls: 0.3231 d1.loss_bbox: 0.1499 d1.loss_iou: 0.3017 d2.loss_cls: 0.3117 d2.loss_bbox: 0.1475 d2.loss_iou: 0.3001 d3.loss_cls: 0.3071 d3.loss_bbox: 0.1493 d3.loss_iou: 0.2990 d4.loss_cls: 0.3006 d4.loss_bbox: 0.1520 d4.loss_iou: 0.2992 enc_loss_cls: 0.3544 enc_loss_bbox: 0.1689 enc_loss_iou: 0.3318 dn_loss_cls: 0.0765 dn_loss_bbox: 0.1704 dn_loss_iou: 0.2525 d0.dn_loss_cls: 0.1657 d0.dn_loss_bbox: 0.3140 d0.dn_loss_iou: 0.3978 d1.dn_loss_cls: 0.1146 d1.dn_loss_bbox: 0.2024 d1.dn_loss_iou: 0.2843 d2.dn_loss_cls: 0.0962 d2.dn_loss_bbox: 0.1774 d2.dn_loss_iou: 0.2602 d3.dn_loss_cls: 0.0829 d3.dn_loss_bbox: 0.1714 d3.dn_loss_iou: 0.2536 d4.dn_loss_cls: 0.0773 d4.dn_loss_bbox: 0.1704 d4.dn_loss_iou: 0.2525 d1.loss_lmm_region: 0.1327 loss_lmm_image: 0.7675 +2024/11/08 07:39:16 - mmengine - INFO - Iter(train) [ 90700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:14:39 time: 1.0211 data_time: 0.0183 memory: 23869 grad_norm: 20.7788 loss: 9.8235 loss_cls: 0.3007 loss_bbox: 0.1475 loss_iou: 0.2701 d0.loss_cls: 0.3316 d0.loss_bbox: 0.1627 d0.loss_iou: 0.2907 d1.loss_cls: 0.3102 d1.loss_bbox: 0.1551 d1.loss_iou: 0.2811 d2.loss_cls: 0.3073 d2.loss_bbox: 0.1503 d2.loss_iou: 0.2711 d3.loss_cls: 0.3032 d3.loss_bbox: 0.1474 d3.loss_iou: 0.2708 d4.loss_cls: 0.3050 d4.loss_bbox: 0.1479 d4.loss_iou: 0.2700 enc_loss_cls: 0.3515 enc_loss_bbox: 0.1727 enc_loss_iou: 0.3110 dn_loss_cls: 0.0850 dn_loss_bbox: 0.1974 dn_loss_iou: 0.2327 d0.dn_loss_cls: 0.1778 d0.dn_loss_bbox: 0.3720 d0.dn_loss_iou: 0.3885 d1.dn_loss_cls: 0.1138 d1.dn_loss_bbox: 0.2375 d1.dn_loss_iou: 0.2679 d2.dn_loss_cls: 0.0983 d2.dn_loss_bbox: 0.2080 d2.dn_loss_iou: 0.2416 d3.dn_loss_cls: 0.0910 d3.dn_loss_bbox: 0.1982 d3.dn_loss_iou: 0.2335 d4.dn_loss_cls: 0.0858 d4.dn_loss_bbox: 0.1973 d4.dn_loss_iou: 0.2328 d1.loss_lmm_region: 0.1223 loss_lmm_image: 0.7843 +2024/11/08 07:40:57 - mmengine - INFO - Iter(train) [ 90800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:12:52 time: 1.0115 data_time: 0.0184 memory: 24266 grad_norm: 22.9266 loss: 9.7937 loss_cls: 0.3099 loss_bbox: 0.1576 loss_iou: 0.2870 d0.loss_cls: 0.3474 d0.loss_bbox: 0.1698 d0.loss_iou: 0.3053 d1.loss_cls: 0.3352 d1.loss_bbox: 0.1601 d1.loss_iou: 0.2899 d2.loss_cls: 0.3257 d2.loss_bbox: 0.1563 d2.loss_iou: 0.2876 d3.loss_cls: 0.3289 d3.loss_bbox: 0.1526 d3.loss_iou: 0.2816 d4.loss_cls: 0.3163 d4.loss_bbox: 0.1551 d4.loss_iou: 0.2852 enc_loss_cls: 0.3712 enc_loss_bbox: 0.1766 enc_loss_iou: 0.3175 dn_loss_cls: 0.0911 dn_loss_bbox: 0.1558 dn_loss_iou: 0.2225 d0.dn_loss_cls: 0.1792 d0.dn_loss_bbox: 0.2970 d0.dn_loss_iou: 0.3641 d1.dn_loss_cls: 0.1257 d1.dn_loss_bbox: 0.1845 d1.dn_loss_iou: 0.2509 d2.dn_loss_cls: 0.1105 d2.dn_loss_bbox: 0.1615 d2.dn_loss_iou: 0.2298 d3.dn_loss_cls: 0.1010 d3.dn_loss_bbox: 0.1564 d3.dn_loss_iou: 0.2230 d4.dn_loss_cls: 0.0941 d4.dn_loss_bbox: 0.1559 d4.dn_loss_iou: 0.2225 d1.loss_lmm_region: 0.1318 loss_lmm_image: 0.8198 +2024/11/08 07:42:39 - mmengine - INFO - Iter(train) [ 90900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:11:05 time: 1.0075 data_time: 0.0183 memory: 23675 grad_norm: 23.7751 loss: 9.7860 loss_cls: 0.2986 loss_bbox: 0.1469 loss_iou: 0.2798 d0.loss_cls: 0.3375 d0.loss_bbox: 0.1613 d0.loss_iou: 0.2960 d1.loss_cls: 0.3232 d1.loss_bbox: 0.1483 d1.loss_iou: 0.2808 d2.loss_cls: 0.3164 d2.loss_bbox: 0.1471 d2.loss_iou: 0.2791 d3.loss_cls: 0.3096 d3.loss_bbox: 0.1451 d3.loss_iou: 0.2780 d4.loss_cls: 0.3020 d4.loss_bbox: 0.1467 d4.loss_iou: 0.2802 enc_loss_cls: 0.3493 enc_loss_bbox: 0.1786 enc_loss_iou: 0.3232 dn_loss_cls: 0.0821 dn_loss_bbox: 0.1810 dn_loss_iou: 0.2389 d0.dn_loss_cls: 0.1756 d0.dn_loss_bbox: 0.3240 d0.dn_loss_iou: 0.3879 d1.dn_loss_cls: 0.1180 d1.dn_loss_bbox: 0.2165 d1.dn_loss_iou: 0.2737 d2.dn_loss_cls: 0.1017 d2.dn_loss_bbox: 0.1906 d2.dn_loss_iou: 0.2483 d3.dn_loss_cls: 0.0878 d3.dn_loss_bbox: 0.1826 d3.dn_loss_iou: 0.2408 d4.dn_loss_cls: 0.0827 d4.dn_loss_bbox: 0.1810 d4.dn_loss_iou: 0.2388 d1.loss_lmm_region: 0.1342 loss_lmm_image: 0.7719 +2024/11/08 07:44:20 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/08 07:44:20 - mmengine - INFO - Iter(train) [ 91000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:09:18 time: 1.0111 data_time: 0.0184 memory: 24216 grad_norm: 21.2111 loss: 10.2156 loss_cls: 0.3055 loss_bbox: 0.1658 loss_iou: 0.2796 d0.loss_cls: 0.3445 d0.loss_bbox: 0.1799 d0.loss_iou: 0.2880 d1.loss_cls: 0.3262 d1.loss_bbox: 0.1659 d1.loss_iou: 0.2798 d2.loss_cls: 0.3194 d2.loss_bbox: 0.1649 d2.loss_iou: 0.2810 d3.loss_cls: 0.3139 d3.loss_bbox: 0.1632 d3.loss_iou: 0.2758 d4.loss_cls: 0.3036 d4.loss_bbox: 0.1698 d4.loss_iou: 0.2803 enc_loss_cls: 0.3661 enc_loss_bbox: 0.1897 enc_loss_iou: 0.3121 dn_loss_cls: 0.1133 dn_loss_bbox: 0.1937 dn_loss_iou: 0.2347 d0.dn_loss_cls: 0.1952 d0.dn_loss_bbox: 0.3536 d0.dn_loss_iou: 0.3882 d1.dn_loss_cls: 0.1389 d1.dn_loss_bbox: 0.2283 d1.dn_loss_iou: 0.2682 d2.dn_loss_cls: 0.1233 d2.dn_loss_bbox: 0.2013 d2.dn_loss_iou: 0.2433 d3.dn_loss_cls: 0.1177 d3.dn_loss_bbox: 0.1958 d3.dn_loss_iou: 0.2366 d4.dn_loss_cls: 0.1126 d4.dn_loss_bbox: 0.1940 d4.dn_loss_iou: 0.2350 d1.loss_lmm_region: 0.1498 loss_lmm_image: 0.8174 +2024/11/08 07:46:03 - mmengine - INFO - Iter(train) [ 91100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:07:32 time: 1.0264 data_time: 0.0184 memory: 23925 grad_norm: 23.4532 loss: 8.8122 loss_cls: 0.2964 loss_bbox: 0.1101 loss_iou: 0.2083 d0.loss_cls: 0.3266 d0.loss_bbox: 0.1245 d0.loss_iou: 0.2290 d1.loss_cls: 0.3133 d1.loss_bbox: 0.1116 d1.loss_iou: 0.2142 d2.loss_cls: 0.3092 d2.loss_bbox: 0.1115 d2.loss_iou: 0.2116 d3.loss_cls: 0.3063 d3.loss_bbox: 0.1089 d3.loss_iou: 0.2081 d4.loss_cls: 0.2972 d4.loss_bbox: 0.1106 d4.loss_iou: 0.2083 enc_loss_cls: 0.3474 enc_loss_bbox: 0.1329 enc_loss_iou: 0.2488 dn_loss_cls: 0.1187 dn_loss_bbox: 0.1641 dn_loss_iou: 0.2055 d0.dn_loss_cls: 0.1916 d0.dn_loss_bbox: 0.3109 d0.dn_loss_iou: 0.3550 d1.dn_loss_cls: 0.1431 d1.dn_loss_bbox: 0.2000 d1.dn_loss_iou: 0.2376 d2.dn_loss_cls: 0.1301 d2.dn_loss_bbox: 0.1718 d2.dn_loss_iou: 0.2131 d3.dn_loss_cls: 0.1229 d3.dn_loss_bbox: 0.1653 d3.dn_loss_iou: 0.2067 d4.dn_loss_cls: 0.1196 d4.dn_loss_bbox: 0.1642 d4.dn_loss_iou: 0.2055 d1.loss_lmm_region: 0.1114 loss_lmm_image: 0.7401 +2024/11/08 07:47:45 - mmengine - INFO - Iter(train) [ 91200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:05:46 time: 1.0251 data_time: 0.0183 memory: 23414 grad_norm: 21.2544 loss: 9.4978 loss_cls: 0.3007 loss_bbox: 0.1538 loss_iou: 0.2834 d0.loss_cls: 0.3304 d0.loss_bbox: 0.1741 d0.loss_iou: 0.3053 d1.loss_cls: 0.3204 d1.loss_bbox: 0.1595 d1.loss_iou: 0.2914 d2.loss_cls: 0.3151 d2.loss_bbox: 0.1518 d2.loss_iou: 0.2846 d3.loss_cls: 0.3098 d3.loss_bbox: 0.1508 d3.loss_iou: 0.2816 d4.loss_cls: 0.3019 d4.loss_bbox: 0.1536 d4.loss_iou: 0.2827 enc_loss_cls: 0.3570 enc_loss_bbox: 0.1840 enc_loss_iou: 0.3218 dn_loss_cls: 0.0868 dn_loss_bbox: 0.1523 dn_loss_iou: 0.2172 d0.dn_loss_cls: 0.1658 d0.dn_loss_bbox: 0.2969 d0.dn_loss_iou: 0.3565 d1.dn_loss_cls: 0.1135 d1.dn_loss_bbox: 0.1790 d1.dn_loss_iou: 0.2464 d2.dn_loss_cls: 0.0986 d2.dn_loss_bbox: 0.1591 d2.dn_loss_iou: 0.2254 d3.dn_loss_cls: 0.0905 d3.dn_loss_bbox: 0.1526 d3.dn_loss_iou: 0.2178 d4.dn_loss_cls: 0.0881 d4.dn_loss_bbox: 0.1523 d4.dn_loss_iou: 0.2172 d1.loss_lmm_region: 0.1272 loss_lmm_image: 0.7408 +2024/11/08 07:49:25 - mmengine - INFO - Iter(train) [ 91300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:03:59 time: 1.0004 data_time: 0.0184 memory: 23437 grad_norm: 22.5424 loss: 9.3808 loss_cls: 0.3035 loss_bbox: 0.1409 loss_iou: 0.2656 d0.loss_cls: 0.3447 d0.loss_bbox: 0.1513 d0.loss_iou: 0.2756 d1.loss_cls: 0.3241 d1.loss_bbox: 0.1451 d1.loss_iou: 0.2656 d2.loss_cls: 0.3166 d2.loss_bbox: 0.1413 d2.loss_iou: 0.2634 d3.loss_cls: 0.3089 d3.loss_bbox: 0.1430 d3.loss_iou: 0.2646 d4.loss_cls: 0.3059 d4.loss_bbox: 0.1413 d4.loss_iou: 0.2655 enc_loss_cls: 0.3588 enc_loss_bbox: 0.1741 enc_loss_iou: 0.3043 dn_loss_cls: 0.0809 dn_loss_bbox: 0.1582 dn_loss_iou: 0.2136 d0.dn_loss_cls: 0.1740 d0.dn_loss_bbox: 0.2994 d0.dn_loss_iou: 0.3520 d1.dn_loss_cls: 0.1204 d1.dn_loss_bbox: 0.1889 d1.dn_loss_iou: 0.2432 d2.dn_loss_cls: 0.1021 d2.dn_loss_bbox: 0.1670 d2.dn_loss_iou: 0.2216 d3.dn_loss_cls: 0.0865 d3.dn_loss_bbox: 0.1590 d3.dn_loss_iou: 0.2142 d4.dn_loss_cls: 0.0820 d4.dn_loss_bbox: 0.1583 d4.dn_loss_iou: 0.2137 d1.loss_lmm_region: 0.1184 loss_lmm_image: 0.8233 +2024/11/08 07:51:07 - mmengine - INFO - Iter(train) [ 91400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:02:12 time: 1.0178 data_time: 0.0184 memory: 23340 grad_norm: 22.0560 loss: 8.8720 loss_cls: 0.2652 loss_bbox: 0.1254 loss_iou: 0.2149 d0.loss_cls: 0.2922 d0.loss_bbox: 0.1417 d0.loss_iou: 0.2299 d1.loss_cls: 0.2771 d1.loss_bbox: 0.1303 d1.loss_iou: 0.2190 d2.loss_cls: 0.2721 d2.loss_bbox: 0.1288 d2.loss_iou: 0.2177 d3.loss_cls: 0.2701 d3.loss_bbox: 0.1254 d3.loss_iou: 0.2144 d4.loss_cls: 0.2674 d4.loss_bbox: 0.1252 d4.loss_iou: 0.2144 enc_loss_cls: 0.3097 enc_loss_bbox: 0.1476 enc_loss_iou: 0.2428 dn_loss_cls: 0.0987 dn_loss_bbox: 0.1761 dn_loss_iou: 0.2115 d0.dn_loss_cls: 0.1850 d0.dn_loss_bbox: 0.3621 d0.dn_loss_iou: 0.3660 d1.dn_loss_cls: 0.1274 d1.dn_loss_bbox: 0.2144 d1.dn_loss_iou: 0.2441 d2.dn_loss_cls: 0.1129 d2.dn_loss_bbox: 0.1841 d2.dn_loss_iou: 0.2187 d3.dn_loss_cls: 0.1038 d3.dn_loss_bbox: 0.1780 d3.dn_loss_iou: 0.2131 d4.dn_loss_cls: 0.1007 d4.dn_loss_bbox: 0.1763 d4.dn_loss_iou: 0.2113 d1.loss_lmm_region: 0.1365 loss_lmm_image: 0.8200 +2024/11/08 07:52:50 - mmengine - INFO - Iter(train) [ 91500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:00:26 time: 1.0212 data_time: 0.0183 memory: 23291 grad_norm: 23.2955 loss: 8.7026 loss_cls: 0.2591 loss_bbox: 0.1286 loss_iou: 0.2305 d0.loss_cls: 0.2877 d0.loss_bbox: 0.1417 d0.loss_iou: 0.2491 d1.loss_cls: 0.2719 d1.loss_bbox: 0.1324 d1.loss_iou: 0.2351 d2.loss_cls: 0.2680 d2.loss_bbox: 0.1289 d2.loss_iou: 0.2314 d3.loss_cls: 0.2587 d3.loss_bbox: 0.1324 d3.loss_iou: 0.2329 d4.loss_cls: 0.2554 d4.loss_bbox: 0.1306 d4.loss_iou: 0.2312 enc_loss_cls: 0.3082 enc_loss_bbox: 0.1561 enc_loss_iou: 0.2720 dn_loss_cls: 0.0824 dn_loss_bbox: 0.1560 dn_loss_iou: 0.2068 d0.dn_loss_cls: 0.1619 d0.dn_loss_bbox: 0.3096 d0.dn_loss_iou: 0.3600 d1.dn_loss_cls: 0.1089 d1.dn_loss_bbox: 0.1925 d1.dn_loss_iou: 0.2425 d2.dn_loss_cls: 0.0945 d2.dn_loss_bbox: 0.1668 d2.dn_loss_iou: 0.2172 d3.dn_loss_cls: 0.0852 d3.dn_loss_bbox: 0.1575 d3.dn_loss_iou: 0.2078 d4.dn_loss_cls: 0.0821 d4.dn_loss_bbox: 0.1560 d4.dn_loss_iou: 0.2066 d1.loss_lmm_region: 0.1233 loss_lmm_image: 0.8428 +2024/11/08 07:54:31 - mmengine - INFO - Iter(train) [ 91600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:58:40 time: 1.0120 data_time: 0.0183 memory: 23125 grad_norm: 26.6984 loss: 9.0954 loss_cls: 0.3046 loss_bbox: 0.1343 loss_iou: 0.2592 d0.loss_cls: 0.3436 d0.loss_bbox: 0.1469 d0.loss_iou: 0.2689 d1.loss_cls: 0.3304 d1.loss_bbox: 0.1420 d1.loss_iou: 0.2614 d2.loss_cls: 0.3229 d2.loss_bbox: 0.1353 d2.loss_iou: 0.2563 d3.loss_cls: 0.3122 d3.loss_bbox: 0.1360 d3.loss_iou: 0.2592 d4.loss_cls: 0.3090 d4.loss_bbox: 0.1323 d4.loss_iou: 0.2569 enc_loss_cls: 0.3619 enc_loss_bbox: 0.1626 enc_loss_iou: 0.2929 dn_loss_cls: 0.0947 dn_loss_bbox: 0.1403 dn_loss_iou: 0.1944 d0.dn_loss_cls: 0.1725 d0.dn_loss_bbox: 0.2813 d0.dn_loss_iou: 0.3309 d1.dn_loss_cls: 0.1227 d1.dn_loss_bbox: 0.1711 d1.dn_loss_iou: 0.2253 d2.dn_loss_cls: 0.1084 d2.dn_loss_bbox: 0.1484 d2.dn_loss_iou: 0.2033 d3.dn_loss_cls: 0.0994 d3.dn_loss_bbox: 0.1415 d3.dn_loss_iou: 0.1960 d4.dn_loss_cls: 0.0964 d4.dn_loss_bbox: 0.1403 d4.dn_loss_iou: 0.1944 d1.loss_lmm_region: 0.1272 loss_lmm_image: 0.7784 +2024/11/08 07:56:13 - mmengine - INFO - Iter(train) [ 91700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:56:53 time: 1.0065 data_time: 0.0182 memory: 23722 grad_norm: 21.9002 loss: 9.9310 loss_cls: 0.2839 loss_bbox: 0.1618 loss_iou: 0.2706 d0.loss_cls: 0.3195 d0.loss_bbox: 0.1758 d0.loss_iou: 0.2932 d1.loss_cls: 0.3003 d1.loss_bbox: 0.1631 d1.loss_iou: 0.2776 d2.loss_cls: 0.2904 d2.loss_bbox: 0.1612 d2.loss_iou: 0.2752 d3.loss_cls: 0.2884 d3.loss_bbox: 0.1614 d3.loss_iou: 0.2701 d4.loss_cls: 0.2842 d4.loss_bbox: 0.1613 d4.loss_iou: 0.2697 enc_loss_cls: 0.3365 enc_loss_bbox: 0.1851 enc_loss_iou: 0.3125 dn_loss_cls: 0.0780 dn_loss_bbox: 0.2016 dn_loss_iou: 0.2513 d0.dn_loss_cls: 0.1816 d0.dn_loss_bbox: 0.3942 d0.dn_loss_iou: 0.4227 d1.dn_loss_cls: 0.1133 d1.dn_loss_bbox: 0.2465 d1.dn_loss_iou: 0.2892 d2.dn_loss_cls: 0.0930 d2.dn_loss_bbox: 0.2147 d2.dn_loss_iou: 0.2616 d3.dn_loss_cls: 0.0837 d3.dn_loss_bbox: 0.2038 d3.dn_loss_iou: 0.2534 d4.dn_loss_cls: 0.0803 d4.dn_loss_bbox: 0.2017 d4.dn_loss_iou: 0.2514 d1.loss_lmm_region: 0.1322 loss_lmm_image: 0.7351 +2024/11/08 07:57:55 - mmengine - INFO - Iter(train) [ 91800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:55:07 time: 1.0165 data_time: 0.0184 memory: 22992 grad_norm: 21.6253 loss: 8.5226 loss_cls: 0.2611 loss_bbox: 0.1093 loss_iou: 0.2474 d0.loss_cls: 0.2834 d0.loss_bbox: 0.1266 d0.loss_iou: 0.2723 d1.loss_cls: 0.2790 d1.loss_bbox: 0.1135 d1.loss_iou: 0.2563 d2.loss_cls: 0.2737 d2.loss_bbox: 0.1110 d2.loss_iou: 0.2535 d3.loss_cls: 0.2694 d3.loss_bbox: 0.1110 d3.loss_iou: 0.2501 d4.loss_cls: 0.2619 d4.loss_bbox: 0.1098 d4.loss_iou: 0.2481 enc_loss_cls: 0.3060 enc_loss_bbox: 0.1391 enc_loss_iou: 0.2897 dn_loss_cls: 0.0802 dn_loss_bbox: 0.1373 dn_loss_iou: 0.2197 d0.dn_loss_cls: 0.1394 d0.dn_loss_bbox: 0.2685 d0.dn_loss_iou: 0.3558 d1.dn_loss_cls: 0.0918 d1.dn_loss_bbox: 0.1686 d1.dn_loss_iou: 0.2502 d2.dn_loss_cls: 0.0838 d2.dn_loss_bbox: 0.1445 d2.dn_loss_iou: 0.2276 d3.dn_loss_cls: 0.0821 d3.dn_loss_bbox: 0.1383 d3.dn_loss_iou: 0.2206 d4.dn_loss_cls: 0.0805 d4.dn_loss_bbox: 0.1372 d4.dn_loss_iou: 0.2194 d1.loss_lmm_region: 0.1147 loss_lmm_image: 0.7905 +2024/11/08 07:59:37 - mmengine - INFO - Iter(train) [ 91900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:53:20 time: 1.0161 data_time: 0.0186 memory: 23071 grad_norm: 22.6626 loss: 9.3550 loss_cls: 0.2787 loss_bbox: 0.1474 loss_iou: 0.2480 d0.loss_cls: 0.3049 d0.loss_bbox: 0.1722 d0.loss_iou: 0.2716 d1.loss_cls: 0.2941 d1.loss_bbox: 0.1562 d1.loss_iou: 0.2554 d2.loss_cls: 0.2879 d2.loss_bbox: 0.1494 d2.loss_iou: 0.2489 d3.loss_cls: 0.2837 d3.loss_bbox: 0.1519 d3.loss_iou: 0.2495 d4.loss_cls: 0.2808 d4.loss_bbox: 0.1479 d4.loss_iou: 0.2474 enc_loss_cls: 0.3297 enc_loss_bbox: 0.1769 enc_loss_iou: 0.2836 dn_loss_cls: 0.0909 dn_loss_bbox: 0.1679 dn_loss_iou: 0.2239 d0.dn_loss_cls: 0.1778 d0.dn_loss_bbox: 0.3289 d0.dn_loss_iou: 0.3768 d1.dn_loss_cls: 0.1256 d1.dn_loss_bbox: 0.2029 d1.dn_loss_iou: 0.2595 d2.dn_loss_cls: 0.1039 d2.dn_loss_bbox: 0.1772 d2.dn_loss_iou: 0.2340 d3.dn_loss_cls: 0.0948 d3.dn_loss_bbox: 0.1695 d3.dn_loss_iou: 0.2257 d4.dn_loss_cls: 0.0911 d4.dn_loss_bbox: 0.1677 d4.dn_loss_iou: 0.2238 d1.loss_lmm_region: 0.1479 loss_lmm_image: 0.7993 +2024/11/08 08:01:19 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/08 08:01:19 - mmengine - INFO - Iter(train) [ 92000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:51:34 time: 1.0206 data_time: 0.0183 memory: 23842 grad_norm: 20.8145 loss: 9.0527 loss_cls: 0.3102 loss_bbox: 0.1203 loss_iou: 0.2849 d0.loss_cls: 0.3505 d0.loss_bbox: 0.1346 d0.loss_iou: 0.3069 d1.loss_cls: 0.3323 d1.loss_bbox: 0.1228 d1.loss_iou: 0.2894 d2.loss_cls: 0.3225 d2.loss_bbox: 0.1205 d2.loss_iou: 0.2847 d3.loss_cls: 0.3183 d3.loss_bbox: 0.1180 d3.loss_iou: 0.2825 d4.loss_cls: 0.3116 d4.loss_bbox: 0.1199 d4.loss_iou: 0.2844 enc_loss_cls: 0.3659 enc_loss_bbox: 0.1491 enc_loss_iou: 0.3291 dn_loss_cls: 0.0694 dn_loss_bbox: 0.1239 dn_loss_iou: 0.2083 d0.dn_loss_cls: 0.1487 d0.dn_loss_bbox: 0.2470 d0.dn_loss_iou: 0.3436 d1.dn_loss_cls: 0.0952 d1.dn_loss_bbox: 0.1511 d1.dn_loss_iou: 0.2380 d2.dn_loss_cls: 0.0816 d2.dn_loss_bbox: 0.1313 d2.dn_loss_iou: 0.2159 d3.dn_loss_cls: 0.0728 d3.dn_loss_bbox: 0.1251 d3.dn_loss_iou: 0.2098 d4.dn_loss_cls: 0.0706 d4.dn_loss_bbox: 0.1238 d4.dn_loss_iou: 0.2082 d1.loss_lmm_region: 0.1128 loss_lmm_image: 0.8172 +2024/11/08 08:03:01 - mmengine - INFO - Iter(train) [ 92100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:49:48 time: 1.0222 data_time: 0.0182 memory: 23388 grad_norm: 21.1647 loss: 8.7146 loss_cls: 0.2419 loss_bbox: 0.1366 loss_iou: 0.2193 d0.loss_cls: 0.2756 d0.loss_bbox: 0.1508 d0.loss_iou: 0.2368 d1.loss_cls: 0.2630 d1.loss_bbox: 0.1404 d1.loss_iou: 0.2241 d2.loss_cls: 0.2516 d2.loss_bbox: 0.1406 d2.loss_iou: 0.2222 d3.loss_cls: 0.2460 d3.loss_bbox: 0.1399 d3.loss_iou: 0.2224 d4.loss_cls: 0.2401 d4.loss_bbox: 0.1382 d4.loss_iou: 0.2205 enc_loss_cls: 0.2945 enc_loss_bbox: 0.1621 enc_loss_iou: 0.2545 dn_loss_cls: 0.0870 dn_loss_bbox: 0.1646 dn_loss_iou: 0.2163 d0.dn_loss_cls: 0.1729 d0.dn_loss_bbox: 0.3465 d0.dn_loss_iou: 0.3822 d1.dn_loss_cls: 0.1173 d1.dn_loss_bbox: 0.2078 d1.dn_loss_iou: 0.2525 d2.dn_loss_cls: 0.1002 d2.dn_loss_bbox: 0.1752 d2.dn_loss_iou: 0.2244 d3.dn_loss_cls: 0.0901 d3.dn_loss_bbox: 0.1669 d3.dn_loss_iou: 0.2180 d4.dn_loss_cls: 0.0870 d4.dn_loss_bbox: 0.1645 d4.dn_loss_iou: 0.2165 d1.loss_lmm_region: 0.1213 loss_lmm_image: 0.7825 +2024/11/08 08:04:44 - mmengine - INFO - Iter(train) [ 92200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:48:02 time: 1.0333 data_time: 0.0183 memory: 22997 grad_norm: 21.4004 loss: 8.2207 loss_cls: 0.2584 loss_bbox: 0.1162 loss_iou: 0.2015 d0.loss_cls: 0.2798 d0.loss_bbox: 0.1318 d0.loss_iou: 0.2222 d1.loss_cls: 0.2699 d1.loss_bbox: 0.1253 d1.loss_iou: 0.2103 d2.loss_cls: 0.2650 d2.loss_bbox: 0.1162 d2.loss_iou: 0.2043 d3.loss_cls: 0.2621 d3.loss_bbox: 0.1161 d3.loss_iou: 0.2034 d4.loss_cls: 0.2574 d4.loss_bbox: 0.1154 d4.loss_iou: 0.2020 enc_loss_cls: 0.2946 enc_loss_bbox: 0.1432 enc_loss_iou: 0.2403 dn_loss_cls: 0.0778 dn_loss_bbox: 0.1494 dn_loss_iou: 0.1961 d0.dn_loss_cls: 0.1612 d0.dn_loss_bbox: 0.2957 d0.dn_loss_iou: 0.3399 d1.dn_loss_cls: 0.1034 d1.dn_loss_bbox: 0.1847 d1.dn_loss_iou: 0.2300 d2.dn_loss_cls: 0.0881 d2.dn_loss_bbox: 0.1568 d2.dn_loss_iou: 0.2041 d3.dn_loss_cls: 0.0813 d3.dn_loss_bbox: 0.1503 d3.dn_loss_iou: 0.1978 d4.dn_loss_cls: 0.0787 d4.dn_loss_bbox: 0.1494 d4.dn_loss_iou: 0.1962 d1.loss_lmm_region: 0.1302 loss_lmm_image: 0.8142 +2024/11/08 08:06:26 - mmengine - INFO - Iter(train) [ 92300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:46:16 time: 1.0243 data_time: 0.0183 memory: 23799 grad_norm: 23.7952 loss: 10.1209 loss_cls: 0.3073 loss_bbox: 0.1727 loss_iou: 0.2933 d0.loss_cls: 0.3368 d0.loss_bbox: 0.1971 d0.loss_iou: 0.3179 d1.loss_cls: 0.3197 d1.loss_bbox: 0.1841 d1.loss_iou: 0.3069 d2.loss_cls: 0.3140 d2.loss_bbox: 0.1762 d2.loss_iou: 0.3005 d3.loss_cls: 0.3172 d3.loss_bbox: 0.1723 d3.loss_iou: 0.2959 d4.loss_cls: 0.3114 d4.loss_bbox: 0.1732 d4.loss_iou: 0.2940 enc_loss_cls: 0.3585 enc_loss_bbox: 0.2038 enc_loss_iou: 0.3372 dn_loss_cls: 0.0930 dn_loss_bbox: 0.1786 dn_loss_iou: 0.2351 d0.dn_loss_cls: 0.1779 d0.dn_loss_bbox: 0.3309 d0.dn_loss_iou: 0.3830 d1.dn_loss_cls: 0.1182 d1.dn_loss_bbox: 0.2095 d1.dn_loss_iou: 0.2651 d2.dn_loss_cls: 0.1034 d2.dn_loss_bbox: 0.1863 d2.dn_loss_iou: 0.2421 d3.dn_loss_cls: 0.0958 d3.dn_loss_bbox: 0.1793 d3.dn_loss_iou: 0.2360 d4.dn_loss_cls: 0.0924 d4.dn_loss_bbox: 0.1787 d4.dn_loss_iou: 0.2351 d1.loss_lmm_region: 0.1306 loss_lmm_image: 0.7600 +2024/11/08 08:08:08 - mmengine - INFO - Iter(train) [ 92400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:44:29 time: 1.0182 data_time: 0.0182 memory: 23610 grad_norm: 24.8503 loss: 8.7322 loss_cls: 0.2624 loss_bbox: 0.1303 loss_iou: 0.2497 d0.loss_cls: 0.2928 d0.loss_bbox: 0.1362 d0.loss_iou: 0.2586 d1.loss_cls: 0.2822 d1.loss_bbox: 0.1336 d1.loss_iou: 0.2551 d2.loss_cls: 0.2704 d2.loss_bbox: 0.1321 d2.loss_iou: 0.2510 d3.loss_cls: 0.2687 d3.loss_bbox: 0.1286 d3.loss_iou: 0.2481 d4.loss_cls: 0.2609 d4.loss_bbox: 0.1315 d4.loss_iou: 0.2503 enc_loss_cls: 0.3071 enc_loss_bbox: 0.1525 enc_loss_iou: 0.2780 dn_loss_cls: 0.0635 dn_loss_bbox: 0.1529 dn_loss_iou: 0.2145 d0.dn_loss_cls: 0.1501 d0.dn_loss_bbox: 0.3005 d0.dn_loss_iou: 0.3669 d1.dn_loss_cls: 0.0943 d1.dn_loss_bbox: 0.1819 d1.dn_loss_iou: 0.2447 d2.dn_loss_cls: 0.0757 d2.dn_loss_bbox: 0.1584 d2.dn_loss_iou: 0.2222 d3.dn_loss_cls: 0.0667 d3.dn_loss_bbox: 0.1534 d3.dn_loss_iou: 0.2157 d4.dn_loss_cls: 0.0640 d4.dn_loss_bbox: 0.1529 d4.dn_loss_iou: 0.2145 d1.loss_lmm_region: 0.1202 loss_lmm_image: 0.8390 +2024/11/08 08:09:50 - mmengine - INFO - Iter(train) [ 92500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:42:43 time: 1.0165 data_time: 0.0184 memory: 23953 grad_norm: 21.2528 loss: 10.4968 loss_cls: 0.3153 loss_bbox: 0.1723 loss_iou: 0.2975 d0.loss_cls: 0.3555 d0.loss_bbox: 0.1925 d0.loss_iou: 0.3161 d1.loss_cls: 0.3371 d1.loss_bbox: 0.1819 d1.loss_iou: 0.3094 d2.loss_cls: 0.3271 d2.loss_bbox: 0.1773 d2.loss_iou: 0.3001 d3.loss_cls: 0.3203 d3.loss_bbox: 0.1734 d3.loss_iou: 0.2986 d4.loss_cls: 0.3145 d4.loss_bbox: 0.1749 d4.loss_iou: 0.2998 enc_loss_cls: 0.3733 enc_loss_bbox: 0.2010 enc_loss_iou: 0.3385 dn_loss_cls: 0.1052 dn_loss_bbox: 0.1959 dn_loss_iou: 0.2447 d0.dn_loss_cls: 0.1850 d0.dn_loss_bbox: 0.3529 d0.dn_loss_iou: 0.4042 d1.dn_loss_cls: 0.1330 d1.dn_loss_bbox: 0.2260 d1.dn_loss_iou: 0.2795 d2.dn_loss_cls: 0.1193 d2.dn_loss_bbox: 0.2040 d2.dn_loss_iou: 0.2538 d3.dn_loss_cls: 0.1110 d3.dn_loss_bbox: 0.1955 d3.dn_loss_iou: 0.2458 d4.dn_loss_cls: 0.1062 d4.dn_loss_bbox: 0.1957 d4.dn_loss_iou: 0.2445 d1.loss_lmm_region: 0.1349 loss_lmm_image: 0.7833 +2024/11/08 08:11:32 - mmengine - INFO - Iter(train) [ 92600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:40:57 time: 1.0148 data_time: 0.0182 memory: 23651 grad_norm: 35.0360 loss: 8.7956 loss_cls: 0.2682 loss_bbox: 0.1279 loss_iou: 0.2595 d0.loss_cls: 0.3044 d0.loss_bbox: 0.1401 d0.loss_iou: 0.2774 d1.loss_cls: 0.2821 d1.loss_bbox: 0.1331 d1.loss_iou: 0.2688 d2.loss_cls: 0.2776 d2.loss_bbox: 0.1283 d2.loss_iou: 0.2617 d3.loss_cls: 0.2734 d3.loss_bbox: 0.1278 d3.loss_iou: 0.2617 d4.loss_cls: 0.2711 d4.loss_bbox: 0.1271 d4.loss_iou: 0.2597 enc_loss_cls: 0.3306 enc_loss_bbox: 0.1555 enc_loss_iou: 0.2961 dn_loss_cls: 0.0839 dn_loss_bbox: 0.1389 dn_loss_iou: 0.2029 d0.dn_loss_cls: 0.1666 d0.dn_loss_bbox: 0.2787 d0.dn_loss_iou: 0.3453 d1.dn_loss_cls: 0.1116 d1.dn_loss_bbox: 0.1654 d1.dn_loss_iou: 0.2326 d2.dn_loss_cls: 0.0956 d2.dn_loss_bbox: 0.1446 d2.dn_loss_iou: 0.2100 d3.dn_loss_cls: 0.0855 d3.dn_loss_bbox: 0.1391 d3.dn_loss_iou: 0.2038 d4.dn_loss_cls: 0.0836 d4.dn_loss_bbox: 0.1387 d4.dn_loss_iou: 0.2027 d1.loss_lmm_region: 0.1436 loss_lmm_image: 0.7907 +2024/11/08 08:13:14 - mmengine - INFO - Iter(train) [ 92700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:39:10 time: 1.0223 data_time: 0.0186 memory: 23226 grad_norm: 21.3876 loss: 10.2829 loss_cls: 0.2859 loss_bbox: 0.1787 loss_iou: 0.2993 d0.loss_cls: 0.3262 d0.loss_bbox: 0.1885 d0.loss_iou: 0.3111 d1.loss_cls: 0.3059 d1.loss_bbox: 0.1777 d1.loss_iou: 0.3028 d2.loss_cls: 0.2997 d2.loss_bbox: 0.1770 d2.loss_iou: 0.2936 d3.loss_cls: 0.2977 d3.loss_bbox: 0.1726 d3.loss_iou: 0.2934 d4.loss_cls: 0.2922 d4.loss_bbox: 0.1764 d4.loss_iou: 0.2959 enc_loss_cls: 0.3398 enc_loss_bbox: 0.2082 enc_loss_iou: 0.3329 dn_loss_cls: 0.0842 dn_loss_bbox: 0.1907 dn_loss_iou: 0.2540 d0.dn_loss_cls: 0.1781 d0.dn_loss_bbox: 0.3651 d0.dn_loss_iou: 0.4137 d1.dn_loss_cls: 0.1183 d1.dn_loss_bbox: 0.2303 d1.dn_loss_iou: 0.2900 d2.dn_loss_cls: 0.1006 d2.dn_loss_bbox: 0.1992 d2.dn_loss_iou: 0.2621 d3.dn_loss_cls: 0.0919 d3.dn_loss_bbox: 0.1914 d3.dn_loss_iou: 0.2552 d4.dn_loss_cls: 0.0857 d4.dn_loss_bbox: 0.1907 d4.dn_loss_iou: 0.2539 d1.loss_lmm_region: 0.1507 loss_lmm_image: 0.8217 +2024/11/08 08:14:56 - mmengine - INFO - Iter(train) [ 92800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:37:24 time: 1.0140 data_time: 0.0182 memory: 24243 grad_norm: 22.2332 loss: 9.4275 loss_cls: 0.2627 loss_bbox: 0.1385 loss_iou: 0.2452 d0.loss_cls: 0.2908 d0.loss_bbox: 0.1535 d0.loss_iou: 0.2595 d1.loss_cls: 0.2769 d1.loss_bbox: 0.1432 d1.loss_iou: 0.2528 d2.loss_cls: 0.2765 d2.loss_bbox: 0.1376 d2.loss_iou: 0.2447 d3.loss_cls: 0.2689 d3.loss_bbox: 0.1351 d3.loss_iou: 0.2415 d4.loss_cls: 0.2633 d4.loss_bbox: 0.1384 d4.loss_iou: 0.2451 enc_loss_cls: 0.3194 enc_loss_bbox: 0.1588 enc_loss_iou: 0.2784 dn_loss_cls: 0.1083 dn_loss_bbox: 0.1865 dn_loss_iou: 0.2428 d0.dn_loss_cls: 0.1897 d0.dn_loss_bbox: 0.3509 d0.dn_loss_iou: 0.4032 d1.dn_loss_cls: 0.1389 d1.dn_loss_bbox: 0.2231 d1.dn_loss_iou: 0.2773 d2.dn_loss_cls: 0.1215 d2.dn_loss_bbox: 0.1980 d2.dn_loss_iou: 0.2521 d3.dn_loss_cls: 0.1138 d3.dn_loss_bbox: 0.1878 d3.dn_loss_iou: 0.2439 d4.dn_loss_cls: 0.1087 d4.dn_loss_bbox: 0.1864 d4.dn_loss_iou: 0.2429 d1.loss_lmm_region: 0.1513 loss_lmm_image: 0.7697 +2024/11/08 08:16:38 - mmengine - INFO - Iter(train) [ 92900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:35:38 time: 1.0263 data_time: 0.0183 memory: 23734 grad_norm: nan loss: 11.1246 loss_cls: 0.3546 loss_bbox: 0.1894 loss_iou: 0.3451 d0.loss_cls: 0.3936 d0.loss_bbox: 0.2064 d0.loss_iou: 0.3675 d1.loss_cls: 0.3722 d1.loss_bbox: 0.1972 d1.loss_iou: 0.3545 d2.loss_cls: 0.3641 d2.loss_bbox: 0.1924 d2.loss_iou: 0.3483 d3.loss_cls: 0.3556 d3.loss_bbox: 0.1935 d3.loss_iou: 0.3463 d4.loss_cls: 0.3551 d4.loss_bbox: 0.1906 d4.loss_iou: 0.3463 enc_loss_cls: 0.4155 enc_loss_bbox: 0.2168 enc_loss_iou: 0.3885 dn_loss_cls: 0.0861 dn_loss_bbox: 0.1829 dn_loss_iou: 0.2512 d0.dn_loss_cls: 0.1819 d0.dn_loss_bbox: 0.3366 d0.dn_loss_iou: 0.4103 d1.dn_loss_cls: 0.1262 d1.dn_loss_bbox: 0.2185 d1.dn_loss_iou: 0.2879 d2.dn_loss_cls: 0.1050 d2.dn_loss_bbox: 0.1931 d2.dn_loss_iou: 0.2610 d3.dn_loss_cls: 0.0930 d3.dn_loss_bbox: 0.1836 d3.dn_loss_iou: 0.2523 d4.dn_loss_cls: 0.0874 d4.dn_loss_bbox: 0.1829 d4.dn_loss_iou: 0.2511 d1.loss_lmm_region: 0.1577 loss_lmm_image: 0.7825 +2024/11/08 08:18:20 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/08 08:18:20 - mmengine - INFO - Iter(train) [ 93000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:33:52 time: 1.0113 data_time: 0.0182 memory: 23025 grad_norm: 22.2632 loss: 8.6534 loss_cls: 0.2873 loss_bbox: 0.1120 loss_iou: 0.2280 d0.loss_cls: 0.3185 d0.loss_bbox: 0.1285 d0.loss_iou: 0.2535 d1.loss_cls: 0.2998 d1.loss_bbox: 0.1182 d1.loss_iou: 0.2372 d2.loss_cls: 0.2947 d2.loss_bbox: 0.1155 d2.loss_iou: 0.2320 d3.loss_cls: 0.2922 d3.loss_bbox: 0.1141 d3.loss_iou: 0.2305 d4.loss_cls: 0.2875 d4.loss_bbox: 0.1131 d4.loss_iou: 0.2295 enc_loss_cls: 0.3378 enc_loss_bbox: 0.1424 enc_loss_iou: 0.2789 dn_loss_cls: 0.0842 dn_loss_bbox: 0.1440 dn_loss_iou: 0.1993 d0.dn_loss_cls: 0.1706 d0.dn_loss_bbox: 0.2985 d0.dn_loss_iou: 0.3561 d1.dn_loss_cls: 0.1110 d1.dn_loss_bbox: 0.1801 d1.dn_loss_iou: 0.2377 d2.dn_loss_cls: 0.0923 d2.dn_loss_bbox: 0.1554 d2.dn_loss_iou: 0.2095 d3.dn_loss_cls: 0.0853 d3.dn_loss_bbox: 0.1454 d3.dn_loss_iou: 0.2010 d4.dn_loss_cls: 0.0826 d4.dn_loss_bbox: 0.1439 d4.dn_loss_iou: 0.1991 d1.loss_lmm_region: 0.1328 loss_lmm_image: 0.7733 +2024/11/08 08:20:02 - mmengine - INFO - Iter(train) [ 93100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:32:06 time: 1.0236 data_time: 0.0183 memory: 23180 grad_norm: 23.3284 loss: 8.9632 loss_cls: 0.2843 loss_bbox: 0.1323 loss_iou: 0.2368 d0.loss_cls: 0.3052 d0.loss_bbox: 0.1508 d0.loss_iou: 0.2577 d1.loss_cls: 0.2939 d1.loss_bbox: 0.1374 d1.loss_iou: 0.2440 d2.loss_cls: 0.2945 d2.loss_bbox: 0.1309 d2.loss_iou: 0.2376 d3.loss_cls: 0.2874 d3.loss_bbox: 0.1306 d3.loss_iou: 0.2365 d4.loss_cls: 0.2833 d4.loss_bbox: 0.1318 d4.loss_iou: 0.2368 enc_loss_cls: 0.3188 enc_loss_bbox: 0.1617 enc_loss_iou: 0.2808 dn_loss_cls: 0.1018 dn_loss_bbox: 0.1489 dn_loss_iou: 0.2058 d0.dn_loss_cls: 0.1772 d0.dn_loss_bbox: 0.2919 d0.dn_loss_iou: 0.3406 d1.dn_loss_cls: 0.1274 d1.dn_loss_bbox: 0.1827 d1.dn_loss_iou: 0.2365 d2.dn_loss_cls: 0.1158 d2.dn_loss_bbox: 0.1566 d2.dn_loss_iou: 0.2135 d3.dn_loss_cls: 0.1045 d3.dn_loss_bbox: 0.1494 d3.dn_loss_iou: 0.2069 d4.dn_loss_cls: 0.1018 d4.dn_loss_bbox: 0.1490 d4.dn_loss_iou: 0.2059 d1.loss_lmm_region: 0.1397 loss_lmm_image: 0.8339 +2024/11/08 08:21:44 - mmengine - INFO - Iter(train) [ 93200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:30:20 time: 1.0189 data_time: 0.0183 memory: 23684 grad_norm: 21.9536 loss: 9.8274 loss_cls: 0.3140 loss_bbox: 0.1555 loss_iou: 0.2714 d0.loss_cls: 0.3484 d0.loss_bbox: 0.1714 d0.loss_iou: 0.2903 d1.loss_cls: 0.3325 d1.loss_bbox: 0.1586 d1.loss_iou: 0.2750 d2.loss_cls: 0.3239 d2.loss_bbox: 0.1567 d2.loss_iou: 0.2731 d3.loss_cls: 0.3164 d3.loss_bbox: 0.1555 d3.loss_iou: 0.2732 d4.loss_cls: 0.3163 d4.loss_bbox: 0.1556 d4.loss_iou: 0.2718 enc_loss_cls: 0.3606 enc_loss_bbox: 0.1803 enc_loss_iou: 0.3087 dn_loss_cls: 0.0985 dn_loss_bbox: 0.1669 dn_loss_iou: 0.2304 d0.dn_loss_cls: 0.1878 d0.dn_loss_bbox: 0.3154 d0.dn_loss_iou: 0.3796 d1.dn_loss_cls: 0.1301 d1.dn_loss_bbox: 0.2018 d1.dn_loss_iou: 0.2644 d2.dn_loss_cls: 0.1134 d2.dn_loss_bbox: 0.1754 d2.dn_loss_iou: 0.2383 d3.dn_loss_cls: 0.1033 d3.dn_loss_bbox: 0.1686 d3.dn_loss_iou: 0.2317 d4.dn_loss_cls: 0.0990 d4.dn_loss_bbox: 0.1668 d4.dn_loss_iou: 0.2301 d1.loss_lmm_region: 0.1287 loss_lmm_image: 0.7882 +2024/11/08 08:23:27 - mmengine - INFO - Iter(train) [ 93300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:28:34 time: 1.0229 data_time: 0.0185 memory: 23680 grad_norm: 22.2978 loss: 9.2257 loss_cls: 0.2871 loss_bbox: 0.1473 loss_iou: 0.2719 d0.loss_cls: 0.3238 d0.loss_bbox: 0.1542 d0.loss_iou: 0.2882 d1.loss_cls: 0.3113 d1.loss_bbox: 0.1487 d1.loss_iou: 0.2765 d2.loss_cls: 0.2986 d2.loss_bbox: 0.1483 d2.loss_iou: 0.2736 d3.loss_cls: 0.2929 d3.loss_bbox: 0.1469 d3.loss_iou: 0.2724 d4.loss_cls: 0.2872 d4.loss_bbox: 0.1483 d4.loss_iou: 0.2726 enc_loss_cls: 0.3405 enc_loss_bbox: 0.1708 enc_loss_iou: 0.3098 dn_loss_cls: 0.0837 dn_loss_bbox: 0.1597 dn_loss_iou: 0.2026 d0.dn_loss_cls: 0.1562 d0.dn_loss_bbox: 0.3051 d0.dn_loss_iou: 0.3462 d1.dn_loss_cls: 0.1075 d1.dn_loss_bbox: 0.1940 d1.dn_loss_iou: 0.2367 d2.dn_loss_cls: 0.0947 d2.dn_loss_bbox: 0.1677 d2.dn_loss_iou: 0.2107 d3.dn_loss_cls: 0.0864 d3.dn_loss_bbox: 0.1605 d3.dn_loss_iou: 0.2039 d4.dn_loss_cls: 0.0842 d4.dn_loss_bbox: 0.1596 d4.dn_loss_iou: 0.2023 d1.loss_lmm_region: 0.1158 loss_lmm_image: 0.7774 +2024/11/08 08:25:09 - mmengine - INFO - Iter(train) [ 93400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:26:47 time: 1.0094 data_time: 0.0184 memory: 23978 grad_norm: 24.5782 loss: 10.3758 loss_cls: 0.3165 loss_bbox: 0.1679 loss_iou: 0.3110 d0.loss_cls: 0.3574 d0.loss_bbox: 0.1770 d0.loss_iou: 0.3253 d1.loss_cls: 0.3413 d1.loss_bbox: 0.1671 d1.loss_iou: 0.3108 d2.loss_cls: 0.3279 d2.loss_bbox: 0.1708 d2.loss_iou: 0.3113 d3.loss_cls: 0.3279 d3.loss_bbox: 0.1649 d3.loss_iou: 0.3077 d4.loss_cls: 0.3184 d4.loss_bbox: 0.1674 d4.loss_iou: 0.3102 enc_loss_cls: 0.3795 enc_loss_bbox: 0.1920 enc_loss_iou: 0.3444 dn_loss_cls: 0.0891 dn_loss_bbox: 0.1748 dn_loss_iou: 0.2511 d0.dn_loss_cls: 0.1768 d0.dn_loss_bbox: 0.3367 d0.dn_loss_iou: 0.4192 d1.dn_loss_cls: 0.1194 d1.dn_loss_bbox: 0.2095 d1.dn_loss_iou: 0.2866 d2.dn_loss_cls: 0.1018 d2.dn_loss_bbox: 0.1816 d2.dn_loss_iou: 0.2607 d3.dn_loss_cls: 0.0935 d3.dn_loss_bbox: 0.1758 d3.dn_loss_iou: 0.2526 d4.dn_loss_cls: 0.0897 d4.dn_loss_bbox: 0.1748 d4.dn_loss_iou: 0.2510 d1.loss_lmm_region: 0.1348 loss_lmm_image: 0.7998 +2024/11/08 08:26:50 - mmengine - INFO - Iter(train) [ 93500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:25:01 time: 1.0126 data_time: 0.0182 memory: 23408 grad_norm: 19.8131 loss: 8.7163 loss_cls: 0.2525 loss_bbox: 0.1284 loss_iou: 0.2488 d0.loss_cls: 0.2828 d0.loss_bbox: 0.1459 d0.loss_iou: 0.2675 d1.loss_cls: 0.2656 d1.loss_bbox: 0.1359 d1.loss_iou: 0.2587 d2.loss_cls: 0.2585 d2.loss_bbox: 0.1309 d2.loss_iou: 0.2553 d3.loss_cls: 0.2562 d3.loss_bbox: 0.1294 d3.loss_iou: 0.2513 d4.loss_cls: 0.2512 d4.loss_bbox: 0.1294 d4.loss_iou: 0.2518 enc_loss_cls: 0.2980 enc_loss_bbox: 0.1573 enc_loss_iou: 0.2891 dn_loss_cls: 0.0707 dn_loss_bbox: 0.1550 dn_loss_iou: 0.2111 d0.dn_loss_cls: 0.1459 d0.dn_loss_bbox: 0.3062 d0.dn_loss_iou: 0.3570 d1.dn_loss_cls: 0.0986 d1.dn_loss_bbox: 0.1894 d1.dn_loss_iou: 0.2437 d2.dn_loss_cls: 0.0823 d2.dn_loss_bbox: 0.1634 d2.dn_loss_iou: 0.2190 d3.dn_loss_cls: 0.0762 d3.dn_loss_bbox: 0.1568 d3.dn_loss_iou: 0.2131 d4.dn_loss_cls: 0.0729 d4.dn_loss_bbox: 0.1548 d4.dn_loss_iou: 0.2109 d1.loss_lmm_region: 0.1124 loss_lmm_image: 0.8324 +2024/11/08 08:28:33 - mmengine - INFO - Iter(train) [ 93600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:23:15 time: 1.0293 data_time: 0.0182 memory: 23185 grad_norm: 24.7800 loss: 8.3201 loss_cls: 0.2526 loss_bbox: 0.1032 loss_iou: 0.2161 d0.loss_cls: 0.2799 d0.loss_bbox: 0.1167 d0.loss_iou: 0.2340 d1.loss_cls: 0.2749 d1.loss_bbox: 0.1075 d1.loss_iou: 0.2215 d2.loss_cls: 0.2656 d2.loss_bbox: 0.1048 d2.loss_iou: 0.2186 d3.loss_cls: 0.2589 d3.loss_bbox: 0.1041 d3.loss_iou: 0.2194 d4.loss_cls: 0.2527 d4.loss_bbox: 0.1051 d4.loss_iou: 0.2189 enc_loss_cls: 0.2869 enc_loss_bbox: 0.1348 enc_loss_iou: 0.2583 dn_loss_cls: 0.0769 dn_loss_bbox: 0.1540 dn_loss_iou: 0.2149 d0.dn_loss_cls: 0.1564 d0.dn_loss_bbox: 0.3020 d0.dn_loss_iou: 0.3638 d1.dn_loss_cls: 0.1078 d1.dn_loss_bbox: 0.1897 d1.dn_loss_iou: 0.2470 d2.dn_loss_cls: 0.0944 d2.dn_loss_bbox: 0.1631 d2.dn_loss_iou: 0.2233 d3.dn_loss_cls: 0.0855 d3.dn_loss_bbox: 0.1553 d3.dn_loss_iou: 0.2161 d4.dn_loss_cls: 0.0791 d4.dn_loss_bbox: 0.1540 d4.dn_loss_iou: 0.2147 d1.loss_lmm_region: 0.1140 loss_lmm_image: 0.7736 +2024/11/08 08:30:15 - mmengine - INFO - Iter(train) [ 93700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:21:29 time: 1.0077 data_time: 0.0184 memory: 23689 grad_norm: 22.2301 loss: 9.5608 loss_cls: 0.2845 loss_bbox: 0.1514 loss_iou: 0.2956 d0.loss_cls: 0.3257 d0.loss_bbox: 0.1668 d0.loss_iou: 0.3170 d1.loss_cls: 0.3070 d1.loss_bbox: 0.1570 d1.loss_iou: 0.3032 d2.loss_cls: 0.2966 d2.loss_bbox: 0.1526 d2.loss_iou: 0.2973 d3.loss_cls: 0.2912 d3.loss_bbox: 0.1519 d3.loss_iou: 0.2969 d4.loss_cls: 0.2876 d4.loss_bbox: 0.1516 d4.loss_iou: 0.2952 enc_loss_cls: 0.3476 enc_loss_bbox: 0.1815 enc_loss_iou: 0.3375 dn_loss_cls: 0.0782 dn_loss_bbox: 0.1513 dn_loss_iou: 0.2237 d0.dn_loss_cls: 0.1665 d0.dn_loss_bbox: 0.2992 d0.dn_loss_iou: 0.3715 d1.dn_loss_cls: 0.1090 d1.dn_loss_bbox: 0.1811 d1.dn_loss_iou: 0.2537 d2.dn_loss_cls: 0.0923 d2.dn_loss_bbox: 0.1593 d2.dn_loss_iou: 0.2306 d3.dn_loss_cls: 0.0826 d3.dn_loss_bbox: 0.1517 d3.dn_loss_iou: 0.2245 d4.dn_loss_cls: 0.0785 d4.dn_loss_bbox: 0.1513 d4.dn_loss_iou: 0.2238 d1.loss_lmm_region: 0.1426 loss_lmm_image: 0.7939 +2024/11/08 08:31:58 - mmengine - INFO - Iter(train) [ 93800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:19:43 time: 1.0121 data_time: 0.0182 memory: 24469 grad_norm: 20.0280 loss: 9.2921 loss_cls: 0.2841 loss_bbox: 0.1428 loss_iou: 0.2434 d0.loss_cls: 0.3175 d0.loss_bbox: 0.1516 d0.loss_iou: 0.2605 d1.loss_cls: 0.3043 d1.loss_bbox: 0.1450 d1.loss_iou: 0.2490 d2.loss_cls: 0.2934 d2.loss_bbox: 0.1407 d2.loss_iou: 0.2434 d3.loss_cls: 0.2910 d3.loss_bbox: 0.1398 d3.loss_iou: 0.2425 d4.loss_cls: 0.2840 d4.loss_bbox: 0.1425 d4.loss_iou: 0.2429 enc_loss_cls: 0.3332 enc_loss_bbox: 0.1736 enc_loss_iou: 0.2836 dn_loss_cls: 0.0838 dn_loss_bbox: 0.1804 dn_loss_iou: 0.2154 d0.dn_loss_cls: 0.1737 d0.dn_loss_bbox: 0.3436 d0.dn_loss_iou: 0.3710 d1.dn_loss_cls: 0.1182 d1.dn_loss_bbox: 0.2123 d1.dn_loss_iou: 0.2501 d2.dn_loss_cls: 0.1000 d2.dn_loss_bbox: 0.1884 d2.dn_loss_iou: 0.2238 d3.dn_loss_cls: 0.0902 d3.dn_loss_bbox: 0.1822 d3.dn_loss_iou: 0.2175 d4.dn_loss_cls: 0.0836 d4.dn_loss_bbox: 0.1804 d4.dn_loss_iou: 0.2155 d1.loss_lmm_region: 0.1436 loss_lmm_image: 0.8096 +2024/11/08 08:33:40 - mmengine - INFO - Iter(train) [ 93900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:17:57 time: 1.0225 data_time: 0.0182 memory: 23983 grad_norm: 21.2481 loss: 10.0268 loss_cls: 0.3020 loss_bbox: 0.1542 loss_iou: 0.2833 d0.loss_cls: 0.3510 d0.loss_bbox: 0.1719 d0.loss_iou: 0.2976 d1.loss_cls: 0.3298 d1.loss_bbox: 0.1592 d1.loss_iou: 0.2875 d2.loss_cls: 0.3144 d2.loss_bbox: 0.1597 d2.loss_iou: 0.2859 d3.loss_cls: 0.3108 d3.loss_bbox: 0.1544 d3.loss_iou: 0.2835 d4.loss_cls: 0.3052 d4.loss_bbox: 0.1530 d4.loss_iou: 0.2830 enc_loss_cls: 0.3700 enc_loss_bbox: 0.1828 enc_loss_iou: 0.3187 dn_loss_cls: 0.1078 dn_loss_bbox: 0.1688 dn_loss_iou: 0.2422 d0.dn_loss_cls: 0.1970 d0.dn_loss_bbox: 0.3180 d0.dn_loss_iou: 0.3991 d1.dn_loss_cls: 0.1428 d1.dn_loss_bbox: 0.2019 d1.dn_loss_iou: 0.2768 d2.dn_loss_cls: 0.1273 d2.dn_loss_bbox: 0.1761 d2.dn_loss_iou: 0.2499 d3.dn_loss_cls: 0.1157 d3.dn_loss_bbox: 0.1687 d3.dn_loss_iou: 0.2428 d4.dn_loss_cls: 0.1098 d4.dn_loss_bbox: 0.1688 d4.dn_loss_iou: 0.2422 d1.loss_lmm_region: 0.1396 loss_lmm_image: 0.7738 +2024/11/08 08:35:23 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/08 08:35:23 - mmengine - INFO - Iter(train) [ 94000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:16:12 time: 1.0234 data_time: 0.0181 memory: 23894 grad_norm: 21.8010 loss: 10.6396 loss_cls: 0.3259 loss_bbox: 0.1813 loss_iou: 0.3413 d0.loss_cls: 0.3680 d0.loss_bbox: 0.1967 d0.loss_iou: 0.3586 d1.loss_cls: 0.3497 d1.loss_bbox: 0.1856 d1.loss_iou: 0.3471 d2.loss_cls: 0.3469 d2.loss_bbox: 0.1813 d2.loss_iou: 0.3400 d3.loss_cls: 0.3348 d3.loss_bbox: 0.1853 d3.loss_iou: 0.3444 d4.loss_cls: 0.3264 d4.loss_bbox: 0.1831 d4.loss_iou: 0.3426 enc_loss_cls: 0.3759 enc_loss_bbox: 0.2076 enc_loss_iou: 0.3778 dn_loss_cls: 0.0773 dn_loss_bbox: 0.1706 dn_loss_iou: 0.2451 d0.dn_loss_cls: 0.1713 d0.dn_loss_bbox: 0.3238 d0.dn_loss_iou: 0.3955 d1.dn_loss_cls: 0.1119 d1.dn_loss_bbox: 0.2062 d1.dn_loss_iou: 0.2793 d2.dn_loss_cls: 0.0952 d2.dn_loss_bbox: 0.1790 d2.dn_loss_iou: 0.2536 d3.dn_loss_cls: 0.0833 d3.dn_loss_bbox: 0.1720 d3.dn_loss_iou: 0.2469 d4.dn_loss_cls: 0.0772 d4.dn_loss_bbox: 0.1707 d4.dn_loss_iou: 0.2451 d1.loss_lmm_region: 0.1598 loss_lmm_image: 0.7757 +2024/11/08 08:37:05 - mmengine - INFO - Iter(train) [ 94100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:14:26 time: 1.0112 data_time: 0.0180 memory: 23778 grad_norm: 22.1878 loss: 9.1229 loss_cls: 0.2856 loss_bbox: 0.1402 loss_iou: 0.2254 d0.loss_cls: 0.3150 d0.loss_bbox: 0.1594 d0.loss_iou: 0.2410 d1.loss_cls: 0.3004 d1.loss_bbox: 0.1450 d1.loss_iou: 0.2309 d2.loss_cls: 0.2970 d2.loss_bbox: 0.1415 d2.loss_iou: 0.2273 d3.loss_cls: 0.2905 d3.loss_bbox: 0.1393 d3.loss_iou: 0.2250 d4.loss_cls: 0.2877 d4.loss_bbox: 0.1396 d4.loss_iou: 0.2250 enc_loss_cls: 0.3391 enc_loss_bbox: 0.1604 enc_loss_iou: 0.2540 dn_loss_cls: 0.0863 dn_loss_bbox: 0.1779 dn_loss_iou: 0.2152 d0.dn_loss_cls: 0.1857 d0.dn_loss_bbox: 0.3495 d0.dn_loss_iou: 0.3704 d1.dn_loss_cls: 0.1223 d1.dn_loss_bbox: 0.2222 d1.dn_loss_iou: 0.2529 d2.dn_loss_cls: 0.1036 d2.dn_loss_bbox: 0.1895 d2.dn_loss_iou: 0.2250 d3.dn_loss_cls: 0.0923 d3.dn_loss_bbox: 0.1802 d3.dn_loss_iou: 0.2171 d4.dn_loss_cls: 0.0870 d4.dn_loss_bbox: 0.1779 d4.dn_loss_iou: 0.2153 d1.loss_lmm_region: 0.1273 loss_lmm_image: 0.7562 +2024/11/08 08:38:47 - mmengine - INFO - Iter(train) [ 94200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:12:40 time: 1.0237 data_time: 0.0181 memory: 23119 grad_norm: 21.4140 loss: 9.9024 loss_cls: 0.3308 loss_bbox: 0.1457 loss_iou: 0.3136 d0.loss_cls: 0.3717 d0.loss_bbox: 0.1624 d0.loss_iou: 0.3415 d1.loss_cls: 0.3544 d1.loss_bbox: 0.1477 d1.loss_iou: 0.3208 d2.loss_cls: 0.3409 d2.loss_bbox: 0.1469 d2.loss_iou: 0.3144 d3.loss_cls: 0.3331 d3.loss_bbox: 0.1456 d3.loss_iou: 0.3147 d4.loss_cls: 0.3313 d4.loss_bbox: 0.1480 d4.loss_iou: 0.3133 enc_loss_cls: 0.3851 enc_loss_bbox: 0.1768 enc_loss_iou: 0.3619 dn_loss_cls: 0.0880 dn_loss_bbox: 0.1360 dn_loss_iou: 0.2159 d0.dn_loss_cls: 0.1735 d0.dn_loss_bbox: 0.2779 d0.dn_loss_iou: 0.3565 d1.dn_loss_cls: 0.1228 d1.dn_loss_bbox: 0.1670 d1.dn_loss_iou: 0.2479 d2.dn_loss_cls: 0.1034 d2.dn_loss_bbox: 0.1441 d2.dn_loss_iou: 0.2253 d3.dn_loss_cls: 0.0938 d3.dn_loss_bbox: 0.1368 d3.dn_loss_iou: 0.2175 d4.dn_loss_cls: 0.0900 d4.dn_loss_bbox: 0.1361 d4.dn_loss_iou: 0.2159 d1.loss_lmm_region: 0.1373 loss_lmm_image: 0.8163 +2024/11/08 08:40:30 - mmengine - INFO - Iter(train) [ 94300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:10:54 time: 1.0238 data_time: 0.0182 memory: 23434 grad_norm: 20.9705 loss: 9.7565 loss_cls: 0.2859 loss_bbox: 0.1656 loss_iou: 0.2719 d0.loss_cls: 0.3263 d0.loss_bbox: 0.1779 d0.loss_iou: 0.2798 d1.loss_cls: 0.3133 d1.loss_bbox: 0.1626 d1.loss_iou: 0.2698 d2.loss_cls: 0.2994 d2.loss_bbox: 0.1664 d2.loss_iou: 0.2688 d3.loss_cls: 0.2963 d3.loss_bbox: 0.1658 d3.loss_iou: 0.2690 d4.loss_cls: 0.2878 d4.loss_bbox: 0.1662 d4.loss_iou: 0.2715 enc_loss_cls: 0.3473 enc_loss_bbox: 0.1899 enc_loss_iou: 0.3034 dn_loss_cls: 0.0847 dn_loss_bbox: 0.1825 dn_loss_iou: 0.2339 d0.dn_loss_cls: 0.1770 d0.dn_loss_bbox: 0.3506 d0.dn_loss_iou: 0.3904 d1.dn_loss_cls: 0.1183 d1.dn_loss_bbox: 0.2228 d1.dn_loss_iou: 0.2726 d2.dn_loss_cls: 0.0995 d2.dn_loss_bbox: 0.1930 d2.dn_loss_iou: 0.2449 d3.dn_loss_cls: 0.0896 d3.dn_loss_bbox: 0.1844 d3.dn_loss_iou: 0.2358 d4.dn_loss_cls: 0.0853 d4.dn_loss_bbox: 0.1824 d4.dn_loss_iou: 0.2338 d1.loss_lmm_region: 0.1289 loss_lmm_image: 0.7609 +2024/11/08 08:42:12 - mmengine - INFO - Iter(train) [ 94400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:09:08 time: 1.0255 data_time: 0.0182 memory: 23403 grad_norm: 22.6036 loss: 8.4885 loss_cls: 0.2687 loss_bbox: 0.1247 loss_iou: 0.2298 d0.loss_cls: 0.3011 d0.loss_bbox: 0.1355 d0.loss_iou: 0.2466 d1.loss_cls: 0.2809 d1.loss_bbox: 0.1293 d1.loss_iou: 0.2367 d2.loss_cls: 0.2754 d2.loss_bbox: 0.1223 d2.loss_iou: 0.2295 d3.loss_cls: 0.2709 d3.loss_bbox: 0.1241 d3.loss_iou: 0.2292 d4.loss_cls: 0.2692 d4.loss_bbox: 0.1253 d4.loss_iou: 0.2298 enc_loss_cls: 0.3171 enc_loss_bbox: 0.1525 enc_loss_iou: 0.2722 dn_loss_cls: 0.0625 dn_loss_bbox: 0.1554 dn_loss_iou: 0.1923 d0.dn_loss_cls: 0.1399 d0.dn_loss_bbox: 0.3227 d0.dn_loss_iou: 0.3402 d1.dn_loss_cls: 0.0884 d1.dn_loss_bbox: 0.1959 d1.dn_loss_iou: 0.2283 d2.dn_loss_cls: 0.0731 d2.dn_loss_bbox: 0.1674 d2.dn_loss_iou: 0.2026 d3.dn_loss_cls: 0.0668 d3.dn_loss_bbox: 0.1574 d3.dn_loss_iou: 0.1939 d4.dn_loss_cls: 0.0628 d4.dn_loss_bbox: 0.1554 d4.dn_loss_iou: 0.1922 d1.loss_lmm_region: 0.1267 loss_lmm_image: 0.7937 +2024/11/08 08:43:55 - mmengine - INFO - Iter(train) [ 94500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:07:22 time: 1.0325 data_time: 0.0182 memory: 24304 grad_norm: nan loss: 9.6224 loss_cls: 0.3030 loss_bbox: 0.1495 loss_iou: 0.3096 d0.loss_cls: 0.3369 d0.loss_bbox: 0.1653 d0.loss_iou: 0.3229 d1.loss_cls: 0.3212 d1.loss_bbox: 0.1568 d1.loss_iou: 0.3140 d2.loss_cls: 0.3113 d2.loss_bbox: 0.1522 d2.loss_iou: 0.3106 d3.loss_cls: 0.3051 d3.loss_bbox: 0.1537 d3.loss_iou: 0.3097 d4.loss_cls: 0.3002 d4.loss_bbox: 0.1526 d4.loss_iou: 0.3117 enc_loss_cls: 0.3567 enc_loss_bbox: 0.1775 enc_loss_iou: 0.3506 dn_loss_cls: 0.0677 dn_loss_bbox: 0.1430 dn_loss_iou: 0.2252 d0.dn_loss_cls: 0.1493 d0.dn_loss_bbox: 0.2921 d0.dn_loss_iou: 0.3781 d1.dn_loss_cls: 0.0965 d1.dn_loss_bbox: 0.1735 d1.dn_loss_iou: 0.2607 d2.dn_loss_cls: 0.0792 d2.dn_loss_bbox: 0.1510 d2.dn_loss_iou: 0.2346 d3.dn_loss_cls: 0.0706 d3.dn_loss_bbox: 0.1436 d3.dn_loss_iou: 0.2264 d4.dn_loss_cls: 0.0676 d4.dn_loss_bbox: 0.1430 d4.dn_loss_iou: 0.2251 d1.loss_lmm_region: 0.1401 loss_lmm_image: 0.7838 +2024/11/08 08:45:37 - mmengine - INFO - Iter(train) [ 94600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:05:36 time: 1.0251 data_time: 0.0182 memory: 23723 grad_norm: 21.0345 loss: 7.8311 loss_cls: 0.2219 loss_bbox: 0.1133 loss_iou: 0.1876 d0.loss_cls: 0.2435 d0.loss_bbox: 0.1313 d0.loss_iou: 0.2067 d1.loss_cls: 0.2355 d1.loss_bbox: 0.1213 d1.loss_iou: 0.1960 d2.loss_cls: 0.2311 d2.loss_bbox: 0.1151 d2.loss_iou: 0.1900 d3.loss_cls: 0.2267 d3.loss_bbox: 0.1131 d3.loss_iou: 0.1859 d4.loss_cls: 0.2237 d4.loss_bbox: 0.1121 d4.loss_iou: 0.1861 enc_loss_cls: 0.2570 enc_loss_bbox: 0.1464 enc_loss_iou: 0.2280 dn_loss_cls: 0.0618 dn_loss_bbox: 0.1646 dn_loss_iou: 0.2028 d0.dn_loss_cls: 0.1392 d0.dn_loss_bbox: 0.3207 d0.dn_loss_iou: 0.3506 d1.dn_loss_cls: 0.0886 d1.dn_loss_bbox: 0.1973 d1.dn_loss_iou: 0.2338 d2.dn_loss_cls: 0.0735 d2.dn_loss_bbox: 0.1691 d2.dn_loss_iou: 0.2098 d3.dn_loss_cls: 0.0669 d3.dn_loss_bbox: 0.1652 d3.dn_loss_iou: 0.2034 d4.dn_loss_cls: 0.0618 d4.dn_loss_bbox: 0.1646 d4.dn_loss_iou: 0.2027 d1.loss_lmm_region: 0.1181 loss_lmm_image: 0.7644 +2024/11/08 08:47:19 - mmengine - INFO - Iter(train) [ 94700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:03:50 time: 1.0127 data_time: 0.0182 memory: 23785 grad_norm: 20.7211 loss: 9.3213 loss_cls: 0.2813 loss_bbox: 0.1348 loss_iou: 0.2623 d0.loss_cls: 0.3204 d0.loss_bbox: 0.1369 d0.loss_iou: 0.2737 d1.loss_cls: 0.2944 d1.loss_bbox: 0.1374 d1.loss_iou: 0.2703 d2.loss_cls: 0.2919 d2.loss_bbox: 0.1336 d2.loss_iou: 0.2657 d3.loss_cls: 0.2859 d3.loss_bbox: 0.1332 d3.loss_iou: 0.2614 d4.loss_cls: 0.2835 d4.loss_bbox: 0.1333 d4.loss_iou: 0.2624 enc_loss_cls: 0.3335 enc_loss_bbox: 0.1526 enc_loss_iou: 0.2962 dn_loss_cls: 0.0939 dn_loss_bbox: 0.1575 dn_loss_iou: 0.2275 d0.dn_loss_cls: 0.1839 d0.dn_loss_bbox: 0.3186 d0.dn_loss_iou: 0.3935 d1.dn_loss_cls: 0.1244 d1.dn_loss_bbox: 0.1943 d1.dn_loss_iou: 0.2661 d2.dn_loss_cls: 0.1069 d2.dn_loss_bbox: 0.1677 d2.dn_loss_iou: 0.2379 d3.dn_loss_cls: 0.0997 d3.dn_loss_bbox: 0.1578 d3.dn_loss_iou: 0.2283 d4.dn_loss_cls: 0.0941 d4.dn_loss_bbox: 0.1576 d4.dn_loss_iou: 0.2275 d1.loss_lmm_region: 0.1492 loss_lmm_image: 0.7900 +2024/11/08 08:49:01 - mmengine - INFO - Iter(train) [ 94800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:02:04 time: 1.0092 data_time: 0.0181 memory: 24333 grad_norm: 21.4384 loss: 8.5383 loss_cls: 0.2263 loss_bbox: 0.1304 loss_iou: 0.2202 d0.loss_cls: 0.2555 d0.loss_bbox: 0.1449 d0.loss_iou: 0.2341 d1.loss_cls: 0.2387 d1.loss_bbox: 0.1367 d1.loss_iou: 0.2246 d2.loss_cls: 0.2317 d2.loss_bbox: 0.1325 d2.loss_iou: 0.2217 d3.loss_cls: 0.2306 d3.loss_bbox: 0.1309 d3.loss_iou: 0.2199 d4.loss_cls: 0.2285 d4.loss_bbox: 0.1308 d4.loss_iou: 0.2195 enc_loss_cls: 0.2834 enc_loss_bbox: 0.1563 enc_loss_iou: 0.2535 dn_loss_cls: 0.0724 dn_loss_bbox: 0.1771 dn_loss_iou: 0.2201 d0.dn_loss_cls: 0.1525 d0.dn_loss_bbox: 0.3473 d0.dn_loss_iou: 0.3836 d1.dn_loss_cls: 0.0959 d1.dn_loss_bbox: 0.2165 d1.dn_loss_iou: 0.2581 d2.dn_loss_cls: 0.0820 d2.dn_loss_bbox: 0.1874 d2.dn_loss_iou: 0.2297 d3.dn_loss_cls: 0.0795 d3.dn_loss_bbox: 0.1783 d3.dn_loss_iou: 0.2215 d4.dn_loss_cls: 0.0729 d4.dn_loss_bbox: 0.1773 d4.dn_loss_iou: 0.2201 d1.loss_lmm_region: 0.1224 loss_lmm_image: 0.7928 +2024/11/08 08:50:43 - mmengine - INFO - Iter(train) [ 94900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:00:18 time: 1.0217 data_time: 0.0182 memory: 23146 grad_norm: 23.7309 loss: 9.7243 loss_cls: 0.3364 loss_bbox: 0.1340 loss_iou: 0.2422 d0.loss_cls: 0.3686 d0.loss_bbox: 0.1487 d0.loss_iou: 0.2586 d1.loss_cls: 0.3494 d1.loss_bbox: 0.1449 d1.loss_iou: 0.2522 d2.loss_cls: 0.3469 d2.loss_bbox: 0.1373 d2.loss_iou: 0.2454 d3.loss_cls: 0.3407 d3.loss_bbox: 0.1363 d3.loss_iou: 0.2437 d4.loss_cls: 0.3387 d4.loss_bbox: 0.1333 d4.loss_iou: 0.2413 enc_loss_cls: 0.3750 enc_loss_bbox: 0.1631 enc_loss_iou: 0.2836 dn_loss_cls: 0.1136 dn_loss_bbox: 0.1783 dn_loss_iou: 0.2208 d0.dn_loss_cls: 0.1901 d0.dn_loss_bbox: 0.3284 d0.dn_loss_iou: 0.3664 d1.dn_loss_cls: 0.1413 d1.dn_loss_bbox: 0.2086 d1.dn_loss_iou: 0.2505 d2.dn_loss_cls: 0.1267 d2.dn_loss_bbox: 0.1846 d2.dn_loss_iou: 0.2284 d3.dn_loss_cls: 0.1189 d3.dn_loss_bbox: 0.1786 d3.dn_loss_iou: 0.2219 d4.dn_loss_cls: 0.1141 d4.dn_loss_bbox: 0.1784 d4.dn_loss_iou: 0.2208 d1.loss_lmm_region: 0.1256 loss_lmm_image: 0.8080 +2024/11/08 08:52:25 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/08 08:52:25 - mmengine - INFO - Iter(train) [ 95000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:58:32 time: 1.0190 data_time: 0.0183 memory: 24043 grad_norm: 20.9433 loss: 8.1086 loss_cls: 0.2449 loss_bbox: 0.1059 loss_iou: 0.1872 d0.loss_cls: 0.2687 d0.loss_bbox: 0.1204 d0.loss_iou: 0.2062 d1.loss_cls: 0.2575 d1.loss_bbox: 0.1102 d1.loss_iou: 0.1905 d2.loss_cls: 0.2468 d2.loss_bbox: 0.1097 d2.loss_iou: 0.1913 d3.loss_cls: 0.2466 d3.loss_bbox: 0.1058 d3.loss_iou: 0.1865 d4.loss_cls: 0.2462 d4.loss_bbox: 0.1057 d4.loss_iou: 0.1869 enc_loss_cls: 0.2861 enc_loss_bbox: 0.1371 enc_loss_iou: 0.2318 dn_loss_cls: 0.0867 dn_loss_bbox: 0.1631 dn_loss_iou: 0.1933 d0.dn_loss_cls: 0.1578 d0.dn_loss_bbox: 0.3229 d0.dn_loss_iou: 0.3419 d1.dn_loss_cls: 0.1146 d1.dn_loss_bbox: 0.2020 d1.dn_loss_iou: 0.2289 d2.dn_loss_cls: 0.1003 d2.dn_loss_bbox: 0.1720 d2.dn_loss_iou: 0.2019 d3.dn_loss_cls: 0.0927 d3.dn_loss_bbox: 0.1651 d3.dn_loss_iou: 0.1952 d4.dn_loss_cls: 0.0883 d4.dn_loss_bbox: 0.1632 d4.dn_loss_iou: 0.1935 d1.loss_lmm_region: 0.1233 loss_lmm_image: 0.8299 +2024/11/08 08:54:07 - mmengine - INFO - Iter(train) [ 95100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:56:46 time: 1.0149 data_time: 0.0182 memory: 23662 grad_norm: 23.7130 loss: 8.8406 loss_cls: 0.2790 loss_bbox: 0.1324 loss_iou: 0.2653 d0.loss_cls: 0.3066 d0.loss_bbox: 0.1377 d0.loss_iou: 0.2837 d1.loss_cls: 0.2933 d1.loss_bbox: 0.1337 d1.loss_iou: 0.2719 d2.loss_cls: 0.2867 d2.loss_bbox: 0.1307 d2.loss_iou: 0.2675 d3.loss_cls: 0.2852 d3.loss_bbox: 0.1320 d3.loss_iou: 0.2649 d4.loss_cls: 0.2801 d4.loss_bbox: 0.1329 d4.loss_iou: 0.2662 enc_loss_cls: 0.3240 enc_loss_bbox: 0.1533 enc_loss_iou: 0.3047 dn_loss_cls: 0.0738 dn_loss_bbox: 0.1480 dn_loss_iou: 0.2041 d0.dn_loss_cls: 0.1538 d0.dn_loss_bbox: 0.2812 d0.dn_loss_iou: 0.3451 d1.dn_loss_cls: 0.1002 d1.dn_loss_bbox: 0.1783 d1.dn_loss_iou: 0.2365 d2.dn_loss_cls: 0.0861 d2.dn_loss_bbox: 0.1547 d2.dn_loss_iou: 0.2122 d3.dn_loss_cls: 0.0765 d3.dn_loss_bbox: 0.1488 d3.dn_loss_iou: 0.2052 d4.dn_loss_cls: 0.0740 d4.dn_loss_bbox: 0.1483 d4.dn_loss_iou: 0.2044 d1.loss_lmm_region: 0.1126 loss_lmm_image: 0.7649 +2024/11/08 08:55:49 - mmengine - INFO - Iter(train) [ 95200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:55:00 time: 1.0142 data_time: 0.0182 memory: 23302 grad_norm: 21.0090 loss: 8.9984 loss_cls: 0.2830 loss_bbox: 0.1291 loss_iou: 0.2714 d0.loss_cls: 0.3128 d0.loss_bbox: 0.1408 d0.loss_iou: 0.2859 d1.loss_cls: 0.2921 d1.loss_bbox: 0.1391 d1.loss_iou: 0.2801 d2.loss_cls: 0.2930 d2.loss_bbox: 0.1280 d2.loss_iou: 0.2707 d3.loss_cls: 0.2845 d3.loss_bbox: 0.1291 d3.loss_iou: 0.2722 d4.loss_cls: 0.2820 d4.loss_bbox: 0.1293 d4.loss_iou: 0.2722 enc_loss_cls: 0.3306 enc_loss_bbox: 0.1473 enc_loss_iou: 0.3005 dn_loss_cls: 0.0791 dn_loss_bbox: 0.1540 dn_loss_iou: 0.2143 d0.dn_loss_cls: 0.1545 d0.dn_loss_bbox: 0.3004 d0.dn_loss_iou: 0.3578 d1.dn_loss_cls: 0.1017 d1.dn_loss_bbox: 0.1863 d1.dn_loss_iou: 0.2469 d2.dn_loss_cls: 0.0878 d2.dn_loss_bbox: 0.1627 d2.dn_loss_iou: 0.2228 d3.dn_loss_cls: 0.0814 d3.dn_loss_bbox: 0.1560 d3.dn_loss_iou: 0.2161 d4.dn_loss_cls: 0.0798 d4.dn_loss_bbox: 0.1539 d4.dn_loss_iou: 0.2141 d1.loss_lmm_region: 0.1254 loss_lmm_image: 0.7295 +2024/11/08 08:57:30 - mmengine - INFO - Iter(train) [ 95300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:53:13 time: 1.0142 data_time: 0.0182 memory: 23955 grad_norm: 24.0080 loss: 9.4129 loss_cls: 0.2908 loss_bbox: 0.1390 loss_iou: 0.2692 d0.loss_cls: 0.3243 d0.loss_bbox: 0.1566 d0.loss_iou: 0.2897 d1.loss_cls: 0.3084 d1.loss_bbox: 0.1448 d1.loss_iou: 0.2775 d2.loss_cls: 0.3006 d2.loss_bbox: 0.1410 d2.loss_iou: 0.2719 d3.loss_cls: 0.2916 d3.loss_bbox: 0.1442 d3.loss_iou: 0.2728 d4.loss_cls: 0.2917 d4.loss_bbox: 0.1393 d4.loss_iou: 0.2696 enc_loss_cls: 0.3472 enc_loss_bbox: 0.1625 enc_loss_iou: 0.3110 dn_loss_cls: 0.0886 dn_loss_bbox: 0.1624 dn_loss_iou: 0.2245 d0.dn_loss_cls: 0.1668 d0.dn_loss_bbox: 0.3150 d0.dn_loss_iou: 0.3784 d1.dn_loss_cls: 0.1171 d1.dn_loss_bbox: 0.1960 d1.dn_loss_iou: 0.2605 d2.dn_loss_cls: 0.1030 d2.dn_loss_bbox: 0.1712 d2.dn_loss_iou: 0.2337 d3.dn_loss_cls: 0.0954 d3.dn_loss_bbox: 0.1629 d3.dn_loss_iou: 0.2262 d4.dn_loss_cls: 0.0896 d4.dn_loss_bbox: 0.1623 d4.dn_loss_iou: 0.2245 d1.loss_lmm_region: 0.1272 loss_lmm_image: 0.7639 +2024/11/08 08:59:13 - mmengine - INFO - Iter(train) [ 95400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:51:27 time: 1.0182 data_time: 0.0182 memory: 24169 grad_norm: 22.2982 loss: 8.5480 loss_cls: 0.2537 loss_bbox: 0.1265 loss_iou: 0.2383 d0.loss_cls: 0.2852 d0.loss_bbox: 0.1377 d0.loss_iou: 0.2542 d1.loss_cls: 0.2700 d1.loss_bbox: 0.1322 d1.loss_iou: 0.2443 d2.loss_cls: 0.2642 d2.loss_bbox: 0.1261 d2.loss_iou: 0.2371 d3.loss_cls: 0.2605 d3.loss_bbox: 0.1245 d3.loss_iou: 0.2375 d4.loss_cls: 0.2556 d4.loss_bbox: 0.1258 d4.loss_iou: 0.2376 enc_loss_cls: 0.3076 enc_loss_bbox: 0.1502 enc_loss_iou: 0.2719 dn_loss_cls: 0.0746 dn_loss_bbox: 0.1489 dn_loss_iou: 0.2048 d0.dn_loss_cls: 0.1515 d0.dn_loss_bbox: 0.2993 d0.dn_loss_iou: 0.3496 d1.dn_loss_cls: 0.0999 d1.dn_loss_bbox: 0.1831 d1.dn_loss_iou: 0.2383 d2.dn_loss_cls: 0.0862 d2.dn_loss_bbox: 0.1579 d2.dn_loss_iou: 0.2129 d3.dn_loss_cls: 0.0790 d3.dn_loss_bbox: 0.1491 d3.dn_loss_iou: 0.2060 d4.dn_loss_cls: 0.0743 d4.dn_loss_bbox: 0.1490 d4.dn_loss_iou: 0.2048 d1.loss_lmm_region: 0.1080 loss_lmm_image: 0.8303 +2024/11/08 09:00:55 - mmengine - INFO - Iter(train) [ 95500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:49:42 time: 1.0242 data_time: 0.0181 memory: 23348 grad_norm: 22.2643 loss: 9.6080 loss_cls: 0.3078 loss_bbox: 0.1467 loss_iou: 0.2488 d0.loss_cls: 0.3373 d0.loss_bbox: 0.1623 d0.loss_iou: 0.2696 d1.loss_cls: 0.3154 d1.loss_bbox: 0.1577 d1.loss_iou: 0.2562 d2.loss_cls: 0.3144 d2.loss_bbox: 0.1442 d2.loss_iou: 0.2467 d3.loss_cls: 0.3155 d3.loss_bbox: 0.1437 d3.loss_iou: 0.2463 d4.loss_cls: 0.3052 d4.loss_bbox: 0.1477 d4.loss_iou: 0.2502 enc_loss_cls: 0.3637 enc_loss_bbox: 0.1749 enc_loss_iou: 0.2902 dn_loss_cls: 0.0776 dn_loss_bbox: 0.1813 dn_loss_iou: 0.2336 d0.dn_loss_cls: 0.1763 d0.dn_loss_bbox: 0.3311 d0.dn_loss_iou: 0.3840 d1.dn_loss_cls: 0.1159 d1.dn_loss_bbox: 0.2119 d1.dn_loss_iou: 0.2685 d2.dn_loss_cls: 0.0942 d2.dn_loss_bbox: 0.1888 d2.dn_loss_iou: 0.2417 d3.dn_loss_cls: 0.0840 d3.dn_loss_bbox: 0.1832 d3.dn_loss_iou: 0.2355 d4.dn_loss_cls: 0.0776 d4.dn_loss_bbox: 0.1813 d4.dn_loss_iou: 0.2338 d1.loss_lmm_region: 0.1535 loss_lmm_image: 0.8096 +2024/11/08 09:02:38 - mmengine - INFO - Iter(train) [ 95600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:47:56 time: 1.0264 data_time: 0.0182 memory: 22868 grad_norm: 21.6540 loss: 9.6697 loss_cls: 0.3100 loss_bbox: 0.1526 loss_iou: 0.2661 d0.loss_cls: 0.3511 d0.loss_bbox: 0.1561 d0.loss_iou: 0.2810 d1.loss_cls: 0.3317 d1.loss_bbox: 0.1491 d1.loss_iou: 0.2700 d2.loss_cls: 0.3247 d2.loss_bbox: 0.1482 d2.loss_iou: 0.2669 d3.loss_cls: 0.3138 d3.loss_bbox: 0.1518 d3.loss_iou: 0.2681 d4.loss_cls: 0.3129 d4.loss_bbox: 0.1508 d4.loss_iou: 0.2664 enc_loss_cls: 0.3621 enc_loss_bbox: 0.1802 enc_loss_iou: 0.3090 dn_loss_cls: 0.0894 dn_loss_bbox: 0.1688 dn_loss_iou: 0.2256 d0.dn_loss_cls: 0.1745 d0.dn_loss_bbox: 0.3087 d0.dn_loss_iou: 0.3765 d1.dn_loss_cls: 0.1179 d1.dn_loss_bbox: 0.1988 d1.dn_loss_iou: 0.2591 d2.dn_loss_cls: 0.1041 d2.dn_loss_bbox: 0.1744 d2.dn_loss_iou: 0.2336 d3.dn_loss_cls: 0.0953 d3.dn_loss_bbox: 0.1705 d3.dn_loss_iou: 0.2271 d4.dn_loss_cls: 0.0894 d4.dn_loss_bbox: 0.1689 d4.dn_loss_iou: 0.2255 d1.loss_lmm_region: 0.1323 loss_lmm_image: 0.8066 +2024/11/08 09:04:19 - mmengine - INFO - Iter(train) [ 95700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:46:10 time: 1.0082 data_time: 0.0183 memory: 24612 grad_norm: 23.2873 loss: 9.2257 loss_cls: 0.2745 loss_bbox: 0.1419 loss_iou: 0.2447 d0.loss_cls: 0.3123 d0.loss_bbox: 0.1514 d0.loss_iou: 0.2559 d1.loss_cls: 0.2996 d1.loss_bbox: 0.1436 d1.loss_iou: 0.2478 d2.loss_cls: 0.2877 d2.loss_bbox: 0.1419 d2.loss_iou: 0.2464 d3.loss_cls: 0.2804 d3.loss_bbox: 0.1405 d3.loss_iou: 0.2436 d4.loss_cls: 0.2756 d4.loss_bbox: 0.1411 d4.loss_iou: 0.2440 enc_loss_cls: 0.3215 enc_loss_bbox: 0.1643 enc_loss_iou: 0.2774 dn_loss_cls: 0.0908 dn_loss_bbox: 0.1728 dn_loss_iou: 0.2247 d0.dn_loss_cls: 0.1746 d0.dn_loss_bbox: 0.3249 d0.dn_loss_iou: 0.3721 d1.dn_loss_cls: 0.1245 d1.dn_loss_bbox: 0.2056 d1.dn_loss_iou: 0.2551 d2.dn_loss_cls: 0.1058 d2.dn_loss_bbox: 0.1827 d2.dn_loss_iou: 0.2338 d3.dn_loss_cls: 0.0974 d3.dn_loss_bbox: 0.1736 d3.dn_loss_iou: 0.2258 d4.dn_loss_cls: 0.0922 d4.dn_loss_bbox: 0.1727 d4.dn_loss_iou: 0.2247 d1.loss_lmm_region: 0.1326 loss_lmm_image: 0.8031 +2024/11/08 09:06:02 - mmengine - INFO - Iter(train) [ 95800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:44:24 time: 1.0160 data_time: 0.0183 memory: 23643 grad_norm: 22.0438 loss: 10.2452 loss_cls: 0.3007 loss_bbox: 0.1677 loss_iou: 0.3089 d0.loss_cls: 0.3450 d0.loss_bbox: 0.1736 d0.loss_iou: 0.3239 d1.loss_cls: 0.3248 d1.loss_bbox: 0.1648 d1.loss_iou: 0.3124 d2.loss_cls: 0.3149 d2.loss_bbox: 0.1642 d2.loss_iou: 0.3124 d3.loss_cls: 0.3109 d3.loss_bbox: 0.1616 d3.loss_iou: 0.3066 d4.loss_cls: 0.3073 d4.loss_bbox: 0.1620 d4.loss_iou: 0.3059 enc_loss_cls: 0.3624 enc_loss_bbox: 0.1848 enc_loss_iou: 0.3435 dn_loss_cls: 0.0994 dn_loss_bbox: 0.1846 dn_loss_iou: 0.2459 d0.dn_loss_cls: 0.1760 d0.dn_loss_bbox: 0.3229 d0.dn_loss_iou: 0.3897 d1.dn_loss_cls: 0.1305 d1.dn_loss_bbox: 0.2173 d1.dn_loss_iou: 0.2785 d2.dn_loss_cls: 0.1146 d2.dn_loss_bbox: 0.1937 d2.dn_loss_iou: 0.2556 d3.dn_loss_cls: 0.1049 d3.dn_loss_bbox: 0.1857 d3.dn_loss_iou: 0.2475 d4.dn_loss_cls: 0.0993 d4.dn_loss_bbox: 0.1845 d4.dn_loss_iou: 0.2457 d1.loss_lmm_region: 0.1357 loss_lmm_image: 0.7744 +2024/11/08 09:07:43 - mmengine - INFO - Iter(train) [ 95900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:42:38 time: 1.0175 data_time: 0.0184 memory: 23986 grad_norm: 21.0808 loss: 8.5539 loss_cls: 0.2636 loss_bbox: 0.1257 loss_iou: 0.2355 d0.loss_cls: 0.2929 d0.loss_bbox: 0.1352 d0.loss_iou: 0.2487 d1.loss_cls: 0.2786 d1.loss_bbox: 0.1297 d1.loss_iou: 0.2424 d2.loss_cls: 0.2714 d2.loss_bbox: 0.1250 d2.loss_iou: 0.2370 d3.loss_cls: 0.2684 d3.loss_bbox: 0.1251 d3.loss_iou: 0.2349 d4.loss_cls: 0.2638 d4.loss_bbox: 0.1261 d4.loss_iou: 0.2367 enc_loss_cls: 0.3122 enc_loss_bbox: 0.1499 enc_loss_iou: 0.2705 dn_loss_cls: 0.0881 dn_loss_bbox: 0.1516 dn_loss_iou: 0.1968 d0.dn_loss_cls: 0.1644 d0.dn_loss_bbox: 0.2942 d0.dn_loss_iou: 0.3337 d1.dn_loss_cls: 0.1185 d1.dn_loss_bbox: 0.1878 d1.dn_loss_iou: 0.2294 d2.dn_loss_cls: 0.1019 d2.dn_loss_bbox: 0.1615 d2.dn_loss_iou: 0.2054 d3.dn_loss_cls: 0.0921 d3.dn_loss_bbox: 0.1533 d3.dn_loss_iou: 0.1979 d4.dn_loss_cls: 0.0884 d4.dn_loss_bbox: 0.1516 d4.dn_loss_iou: 0.1967 d1.loss_lmm_region: 0.1136 loss_lmm_image: 0.7533 +2024/11/08 09:09:25 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/08 09:09:25 - mmengine - INFO - Iter(train) [ 96000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:40:51 time: 1.0231 data_time: 0.0182 memory: 24025 grad_norm: 20.9751 loss: 9.5743 loss_cls: 0.2836 loss_bbox: 0.1436 loss_iou: 0.2453 d0.loss_cls: 0.3033 d0.loss_bbox: 0.1716 d0.loss_iou: 0.2727 d1.loss_cls: 0.2946 d1.loss_bbox: 0.1581 d1.loss_iou: 0.2596 d2.loss_cls: 0.2901 d2.loss_bbox: 0.1504 d2.loss_iou: 0.2528 d3.loss_cls: 0.2875 d3.loss_bbox: 0.1462 d3.loss_iou: 0.2483 d4.loss_cls: 0.2828 d4.loss_bbox: 0.1430 d4.loss_iou: 0.2474 enc_loss_cls: 0.3233 enc_loss_bbox: 0.1733 enc_loss_iou: 0.2820 dn_loss_cls: 0.0924 dn_loss_bbox: 0.2041 dn_loss_iou: 0.2328 d0.dn_loss_cls: 0.1861 d0.dn_loss_bbox: 0.3715 d0.dn_loss_iou: 0.3865 d1.dn_loss_cls: 0.1297 d1.dn_loss_bbox: 0.2455 d1.dn_loss_iou: 0.2703 d2.dn_loss_cls: 0.1103 d2.dn_loss_bbox: 0.2123 d2.dn_loss_iou: 0.2421 d3.dn_loss_cls: 0.0985 d3.dn_loss_bbox: 0.2055 d3.dn_loss_iou: 0.2347 d4.dn_loss_cls: 0.0929 d4.dn_loss_bbox: 0.2042 d4.dn_loss_iou: 0.2328 d1.loss_lmm_region: 0.1380 loss_lmm_image: 0.7244 +2024/11/08 09:11:07 - mmengine - INFO - Iter(train) [ 96100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:39:06 time: 1.0118 data_time: 0.0182 memory: 22926 grad_norm: 22.6634 loss: 9.4727 loss_cls: 0.2897 loss_bbox: 0.1531 loss_iou: 0.2795 d0.loss_cls: 0.3092 d0.loss_bbox: 0.1715 d0.loss_iou: 0.3019 d1.loss_cls: 0.2930 d1.loss_bbox: 0.1625 d1.loss_iou: 0.2902 d2.loss_cls: 0.2951 d2.loss_bbox: 0.1518 d2.loss_iou: 0.2807 d3.loss_cls: 0.2910 d3.loss_bbox: 0.1517 d3.loss_iou: 0.2796 d4.loss_cls: 0.2892 d4.loss_bbox: 0.1538 d4.loss_iou: 0.2802 enc_loss_cls: 0.3344 enc_loss_bbox: 0.1850 enc_loss_iou: 0.3179 dn_loss_cls: 0.0683 dn_loss_bbox: 0.1873 dn_loss_iou: 0.2284 d0.dn_loss_cls: 0.1499 d0.dn_loss_bbox: 0.3219 d0.dn_loss_iou: 0.3647 d1.dn_loss_cls: 0.0982 d1.dn_loss_bbox: 0.2172 d1.dn_loss_iou: 0.2573 d2.dn_loss_cls: 0.0829 d2.dn_loss_bbox: 0.1976 d2.dn_loss_iou: 0.2361 d3.dn_loss_cls: 0.0742 d3.dn_loss_bbox: 0.1877 d3.dn_loss_iou: 0.2291 d4.dn_loss_cls: 0.0693 d4.dn_loss_bbox: 0.1873 d4.dn_loss_iou: 0.2283 d1.loss_lmm_region: 0.1359 loss_lmm_image: 0.6903 +2024/11/08 09:12:49 - mmengine - INFO - Iter(train) [ 96200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:37:20 time: 1.0332 data_time: 0.0182 memory: 23540 grad_norm: 21.1914 loss: 9.7108 loss_cls: 0.2848 loss_bbox: 0.1493 loss_iou: 0.2651 d0.loss_cls: 0.3190 d0.loss_bbox: 0.1591 d0.loss_iou: 0.2798 d1.loss_cls: 0.3047 d1.loss_bbox: 0.1492 d1.loss_iou: 0.2669 d2.loss_cls: 0.2957 d2.loss_bbox: 0.1454 d2.loss_iou: 0.2626 d3.loss_cls: 0.2907 d3.loss_bbox: 0.1454 d3.loss_iou: 0.2626 d4.loss_cls: 0.2857 d4.loss_bbox: 0.1482 d4.loss_iou: 0.2654 enc_loss_cls: 0.3513 enc_loss_bbox: 0.1628 enc_loss_iou: 0.2900 dn_loss_cls: 0.0727 dn_loss_bbox: 0.1925 dn_loss_iou: 0.2481 d0.dn_loss_cls: 0.1791 d0.dn_loss_bbox: 0.3570 d0.dn_loss_iou: 0.4032 d1.dn_loss_cls: 0.1122 d1.dn_loss_bbox: 0.2313 d1.dn_loss_iou: 0.2824 d2.dn_loss_cls: 0.0922 d2.dn_loss_bbox: 0.2020 d2.dn_loss_iou: 0.2568 d3.dn_loss_cls: 0.0792 d3.dn_loss_bbox: 0.1946 d3.dn_loss_iou: 0.2499 d4.dn_loss_cls: 0.0729 d4.dn_loss_bbox: 0.1926 d4.dn_loss_iou: 0.2482 d1.loss_lmm_region: 0.1627 loss_lmm_image: 0.7974 +2024/11/08 09:14:32 - mmengine - INFO - Iter(train) [ 96300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:35:34 time: 1.0308 data_time: 0.0181 memory: 24320 grad_norm: 22.3412 loss: 9.9217 loss_cls: 0.2993 loss_bbox: 0.1541 loss_iou: 0.2852 d0.loss_cls: 0.3269 d0.loss_bbox: 0.1663 d0.loss_iou: 0.3083 d1.loss_cls: 0.3103 d1.loss_bbox: 0.1595 d1.loss_iou: 0.2954 d2.loss_cls: 0.3027 d2.loss_bbox: 0.1544 d2.loss_iou: 0.2881 d3.loss_cls: 0.3026 d3.loss_bbox: 0.1532 d3.loss_iou: 0.2839 d4.loss_cls: 0.3048 d4.loss_bbox: 0.1488 d4.loss_iou: 0.2813 enc_loss_cls: 0.3481 enc_loss_bbox: 0.1818 enc_loss_iou: 0.3299 dn_loss_cls: 0.0815 dn_loss_bbox: 0.1748 dn_loss_iou: 0.2421 d0.dn_loss_cls: 0.1723 d0.dn_loss_bbox: 0.3465 d0.dn_loss_iou: 0.4064 d1.dn_loss_cls: 0.1164 d1.dn_loss_bbox: 0.2145 d1.dn_loss_iou: 0.2788 d2.dn_loss_cls: 0.0966 d2.dn_loss_bbox: 0.1838 d2.dn_loss_iou: 0.2516 d3.dn_loss_cls: 0.0873 d3.dn_loss_bbox: 0.1773 d3.dn_loss_iou: 0.2446 d4.dn_loss_cls: 0.0813 d4.dn_loss_bbox: 0.1749 d4.dn_loss_iou: 0.2421 d1.loss_lmm_region: 0.1289 loss_lmm_image: 0.8350 +2024/11/08 09:16:14 - mmengine - INFO - Iter(train) [ 96400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:33:48 time: 1.0201 data_time: 0.0183 memory: 23997 grad_norm: 23.8013 loss: 8.8924 loss_cls: 0.2691 loss_bbox: 0.1371 loss_iou: 0.2819 d0.loss_cls: 0.3015 d0.loss_bbox: 0.1568 d0.loss_iou: 0.3023 d1.loss_cls: 0.2862 d1.loss_bbox: 0.1459 d1.loss_iou: 0.2900 d2.loss_cls: 0.2801 d2.loss_bbox: 0.1421 d2.loss_iou: 0.2820 d3.loss_cls: 0.2669 d3.loss_bbox: 0.1490 d3.loss_iou: 0.2830 d4.loss_cls: 0.2702 d4.loss_bbox: 0.1377 d4.loss_iou: 0.2807 enc_loss_cls: 0.3222 enc_loss_bbox: 0.1640 enc_loss_iou: 0.3169 dn_loss_cls: 0.0669 dn_loss_bbox: 0.1427 dn_loss_iou: 0.2059 d0.dn_loss_cls: 0.1471 d0.dn_loss_bbox: 0.2637 d0.dn_loss_iou: 0.3453 d1.dn_loss_cls: 0.0922 d1.dn_loss_bbox: 0.1653 d1.dn_loss_iou: 0.2346 d2.dn_loss_cls: 0.0763 d2.dn_loss_bbox: 0.1486 d2.dn_loss_iou: 0.2130 d3.dn_loss_cls: 0.0706 d3.dn_loss_bbox: 0.1431 d3.dn_loss_iou: 0.2066 d4.dn_loss_cls: 0.0674 d4.dn_loss_bbox: 0.1427 d4.dn_loss_iou: 0.2057 d1.loss_lmm_region: 0.1096 loss_lmm_image: 0.7795 +2024/11/08 09:17:56 - mmengine - INFO - Iter(train) [ 96500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:32:03 time: 1.0228 data_time: 0.0183 memory: 23593 grad_norm: 23.4618 loss: 9.1841 loss_cls: 0.2986 loss_bbox: 0.1404 loss_iou: 0.2643 d0.loss_cls: 0.3295 d0.loss_bbox: 0.1565 d0.loss_iou: 0.2822 d1.loss_cls: 0.3114 d1.loss_bbox: 0.1499 d1.loss_iou: 0.2721 d2.loss_cls: 0.3084 d2.loss_bbox: 0.1420 d2.loss_iou: 0.2638 d3.loss_cls: 0.3036 d3.loss_bbox: 0.1431 d3.loss_iou: 0.2637 d4.loss_cls: 0.2967 d4.loss_bbox: 0.1414 d4.loss_iou: 0.2648 enc_loss_cls: 0.3496 enc_loss_bbox: 0.1655 enc_loss_iou: 0.3056 dn_loss_cls: 0.0715 dn_loss_bbox: 0.1513 dn_loss_iou: 0.2150 d0.dn_loss_cls: 0.1617 d0.dn_loss_bbox: 0.2879 d0.dn_loss_iou: 0.3542 d1.dn_loss_cls: 0.1082 d1.dn_loss_bbox: 0.1830 d1.dn_loss_iou: 0.2475 d2.dn_loss_cls: 0.0878 d2.dn_loss_bbox: 0.1608 d2.dn_loss_iou: 0.2224 d3.dn_loss_cls: 0.0776 d3.dn_loss_bbox: 0.1524 d3.dn_loss_iou: 0.2155 d4.dn_loss_cls: 0.0720 d4.dn_loss_bbox: 0.1513 d4.dn_loss_iou: 0.2149 d1.loss_lmm_region: 0.1308 loss_lmm_image: 0.7649 +2024/11/08 09:19:39 - mmengine - INFO - Iter(train) [ 96600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:30:17 time: 1.0273 data_time: 0.0183 memory: 24293 grad_norm: 25.1630 loss: 7.7316 loss_cls: 0.2473 loss_bbox: 0.1022 loss_iou: 0.1971 d0.loss_cls: 0.2712 d0.loss_bbox: 0.1221 d0.loss_iou: 0.2190 d1.loss_cls: 0.2576 d1.loss_bbox: 0.1092 d1.loss_iou: 0.2060 d2.loss_cls: 0.2487 d2.loss_bbox: 0.1097 d2.loss_iou: 0.2027 d3.loss_cls: 0.2500 d3.loss_bbox: 0.1036 d3.loss_iou: 0.1990 d4.loss_cls: 0.2476 d4.loss_bbox: 0.1027 d4.loss_iou: 0.1974 enc_loss_cls: 0.2821 enc_loss_bbox: 0.1355 enc_loss_iou: 0.2391 dn_loss_cls: 0.0575 dn_loss_bbox: 0.1346 dn_loss_iou: 0.1869 d0.dn_loss_cls: 0.1356 d0.dn_loss_bbox: 0.2822 d0.dn_loss_iou: 0.3321 d1.dn_loss_cls: 0.0839 d1.dn_loss_bbox: 0.1631 d1.dn_loss_iou: 0.2165 d2.dn_loss_cls: 0.0707 d2.dn_loss_bbox: 0.1436 d2.dn_loss_iou: 0.1945 d3.dn_loss_cls: 0.0623 d3.dn_loss_bbox: 0.1366 d3.dn_loss_iou: 0.1885 d4.dn_loss_cls: 0.0579 d4.dn_loss_bbox: 0.1346 d4.dn_loss_iou: 0.1867 d1.loss_lmm_region: 0.1077 loss_lmm_image: 0.8063 +2024/11/08 09:21:21 - mmengine - INFO - Iter(train) [ 96700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:28:31 time: 1.0187 data_time: 0.0182 memory: 23224 grad_norm: 24.0682 loss: 10.1247 loss_cls: 0.3523 loss_bbox: 0.1414 loss_iou: 0.3032 d0.loss_cls: 0.3943 d0.loss_bbox: 0.1553 d0.loss_iou: 0.3228 d1.loss_cls: 0.3686 d1.loss_bbox: 0.1476 d1.loss_iou: 0.3120 d2.loss_cls: 0.3596 d2.loss_bbox: 0.1443 d2.loss_iou: 0.3045 d3.loss_cls: 0.3555 d3.loss_bbox: 0.1423 d3.loss_iou: 0.3047 d4.loss_cls: 0.3522 d4.loss_bbox: 0.1416 d4.loss_iou: 0.3032 enc_loss_cls: 0.4086 enc_loss_bbox: 0.1684 enc_loss_iou: 0.3503 dn_loss_cls: 0.0882 dn_loss_bbox: 0.1646 dn_loss_iou: 0.2168 d0.dn_loss_cls: 0.1803 d0.dn_loss_bbox: 0.3074 d0.dn_loss_iou: 0.3655 d1.dn_loss_cls: 0.1232 d1.dn_loss_bbox: 0.2008 d1.dn_loss_iou: 0.2527 d2.dn_loss_cls: 0.1065 d2.dn_loss_bbox: 0.1735 d2.dn_loss_iou: 0.2263 d3.dn_loss_cls: 0.0929 d3.dn_loss_bbox: 0.1668 d3.dn_loss_iou: 0.2183 d4.dn_loss_cls: 0.0887 d4.dn_loss_bbox: 0.1647 d4.dn_loss_iou: 0.2167 d1.loss_lmm_region: 0.1120 loss_lmm_image: 0.8264 +2024/11/08 09:23:03 - mmengine - INFO - Iter(train) [ 96800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:26:45 time: 1.0191 data_time: 0.0181 memory: 23523 grad_norm: 20.8631 loss: 9.4143 loss_cls: 0.2993 loss_bbox: 0.1345 loss_iou: 0.2526 d0.loss_cls: 0.3331 d0.loss_bbox: 0.1508 d0.loss_iou: 0.2681 d1.loss_cls: 0.3182 d1.loss_bbox: 0.1363 d1.loss_iou: 0.2560 d2.loss_cls: 0.3081 d2.loss_bbox: 0.1335 d2.loss_iou: 0.2514 d3.loss_cls: 0.3063 d3.loss_bbox: 0.1336 d3.loss_iou: 0.2521 d4.loss_cls: 0.2993 d4.loss_bbox: 0.1341 d4.loss_iou: 0.2524 enc_loss_cls: 0.3495 enc_loss_bbox: 0.1583 enc_loss_iou: 0.2877 dn_loss_cls: 0.0898 dn_loss_bbox: 0.1801 dn_loss_iou: 0.2240 d0.dn_loss_cls: 0.1651 d0.dn_loss_bbox: 0.3366 d0.dn_loss_iou: 0.3724 d1.dn_loss_cls: 0.1167 d1.dn_loss_bbox: 0.2150 d1.dn_loss_iou: 0.2598 d2.dn_loss_cls: 0.1026 d2.dn_loss_bbox: 0.1878 d2.dn_loss_iou: 0.2331 d3.dn_loss_cls: 0.0948 d3.dn_loss_bbox: 0.1819 d3.dn_loss_iou: 0.2256 d4.dn_loss_cls: 0.0901 d4.dn_loss_bbox: 0.1802 d4.dn_loss_iou: 0.2239 d1.loss_lmm_region: 0.1250 loss_lmm_image: 0.7948 +2024/11/08 09:24:46 - mmengine - INFO - Iter(train) [ 96900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:25:00 time: 1.0204 data_time: 0.0180 memory: 23229 grad_norm: 23.9282 loss: 9.9687 loss_cls: 0.2682 loss_bbox: 0.1869 loss_iou: 0.2928 d0.loss_cls: 0.3018 d0.loss_bbox: 0.1958 d0.loss_iou: 0.3066 d1.loss_cls: 0.2881 d1.loss_bbox: 0.1886 d1.loss_iou: 0.2945 d2.loss_cls: 0.2811 d2.loss_bbox: 0.1882 d2.loss_iou: 0.2910 d3.loss_cls: 0.2791 d3.loss_bbox: 0.1853 d3.loss_iou: 0.2887 d4.loss_cls: 0.2724 d4.loss_bbox: 0.1852 d4.loss_iou: 0.2897 enc_loss_cls: 0.3197 enc_loss_bbox: 0.2056 enc_loss_iou: 0.3230 dn_loss_cls: 0.0700 dn_loss_bbox: 0.2024 dn_loss_iou: 0.2558 d0.dn_loss_cls: 0.1613 d0.dn_loss_bbox: 0.3563 d0.dn_loss_iou: 0.4025 d1.dn_loss_cls: 0.1021 d1.dn_loss_bbox: 0.2378 d1.dn_loss_iou: 0.2873 d2.dn_loss_cls: 0.0840 d2.dn_loss_bbox: 0.2096 d2.dn_loss_iou: 0.2630 d3.dn_loss_cls: 0.0750 d3.dn_loss_bbox: 0.2021 d3.dn_loss_iou: 0.2562 d4.dn_loss_cls: 0.0702 d4.dn_loss_bbox: 0.2023 d4.dn_loss_iou: 0.2556 d1.loss_lmm_region: 0.1283 loss_lmm_image: 0.7148 +2024/11/08 09:26:28 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/08 09:26:28 - mmengine - INFO - Iter(train) [ 97000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:23:14 time: 1.0179 data_time: 0.0182 memory: 23103 grad_norm: 21.1385 loss: 9.0767 loss_cls: 0.3090 loss_bbox: 0.1251 loss_iou: 0.2325 d0.loss_cls: 0.3312 d0.loss_bbox: 0.1377 d0.loss_iou: 0.2519 d1.loss_cls: 0.3132 d1.loss_bbox: 0.1354 d1.loss_iou: 0.2452 d2.loss_cls: 0.3112 d2.loss_bbox: 0.1295 d2.loss_iou: 0.2384 d3.loss_cls: 0.3076 d3.loss_bbox: 0.1272 d3.loss_iou: 0.2375 d4.loss_cls: 0.3104 d4.loss_bbox: 0.1250 d4.loss_iou: 0.2336 enc_loss_cls: 0.3513 enc_loss_bbox: 0.1560 enc_loss_iou: 0.2745 dn_loss_cls: 0.0898 dn_loss_bbox: 0.1629 dn_loss_iou: 0.1968 d0.dn_loss_cls: 0.1707 d0.dn_loss_bbox: 0.3171 d0.dn_loss_iou: 0.3439 d1.dn_loss_cls: 0.1210 d1.dn_loss_bbox: 0.2003 d1.dn_loss_iou: 0.2313 d2.dn_loss_cls: 0.1031 d2.dn_loss_bbox: 0.1733 d2.dn_loss_iou: 0.2069 d3.dn_loss_cls: 0.0922 d3.dn_loss_bbox: 0.1641 d3.dn_loss_iou: 0.1982 d4.dn_loss_cls: 0.0887 d4.dn_loss_bbox: 0.1628 d4.dn_loss_iou: 0.1968 d1.loss_lmm_region: 0.1332 loss_lmm_image: 0.8401 +2024/11/08 09:28:11 - mmengine - INFO - Iter(train) [ 97100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:21:28 time: 1.0204 data_time: 0.0182 memory: 23750 grad_norm: 22.0486 loss: 9.0788 loss_cls: 0.2890 loss_bbox: 0.1373 loss_iou: 0.2383 d0.loss_cls: 0.3202 d0.loss_bbox: 0.1475 d0.loss_iou: 0.2567 d1.loss_cls: 0.3022 d1.loss_bbox: 0.1418 d1.loss_iou: 0.2470 d2.loss_cls: 0.2947 d2.loss_bbox: 0.1415 d2.loss_iou: 0.2411 d3.loss_cls: 0.2930 d3.loss_bbox: 0.1377 d3.loss_iou: 0.2388 d4.loss_cls: 0.2899 d4.loss_bbox: 0.1360 d4.loss_iou: 0.2370 enc_loss_cls: 0.3392 enc_loss_bbox: 0.1581 enc_loss_iou: 0.2758 dn_loss_cls: 0.0797 dn_loss_bbox: 0.1706 dn_loss_iou: 0.2145 d0.dn_loss_cls: 0.1586 d0.dn_loss_bbox: 0.3188 d0.dn_loss_iou: 0.3600 d1.dn_loss_cls: 0.1091 d1.dn_loss_bbox: 0.2044 d1.dn_loss_iou: 0.2470 d2.dn_loss_cls: 0.0933 d2.dn_loss_bbox: 0.1792 d2.dn_loss_iou: 0.2222 d3.dn_loss_cls: 0.0835 d3.dn_loss_bbox: 0.1720 d3.dn_loss_iou: 0.2154 d4.dn_loss_cls: 0.0800 d4.dn_loss_bbox: 0.1705 d4.dn_loss_iou: 0.2144 d1.loss_lmm_region: 0.1360 loss_lmm_image: 0.7868 +2024/11/08 09:29:54 - mmengine - INFO - Iter(train) [ 97200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:19:43 time: 1.0339 data_time: 0.0183 memory: 23465 grad_norm: 22.2185 loss: 9.0684 loss_cls: 0.2634 loss_bbox: 0.1416 loss_iou: 0.2588 d0.loss_cls: 0.3006 d0.loss_bbox: 0.1495 d0.loss_iou: 0.2689 d1.loss_cls: 0.2870 d1.loss_bbox: 0.1389 d1.loss_iou: 0.2581 d2.loss_cls: 0.2738 d2.loss_bbox: 0.1425 d2.loss_iou: 0.2593 d3.loss_cls: 0.2656 d3.loss_bbox: 0.1422 d3.loss_iou: 0.2593 d4.loss_cls: 0.2649 d4.loss_bbox: 0.1401 d4.loss_iou: 0.2569 enc_loss_cls: 0.3151 enc_loss_bbox: 0.1669 enc_loss_iou: 0.2932 dn_loss_cls: 0.0821 dn_loss_bbox: 0.1624 dn_loss_iou: 0.2104 d0.dn_loss_cls: 0.1626 d0.dn_loss_bbox: 0.3266 d0.dn_loss_iou: 0.3658 d1.dn_loss_cls: 0.1095 d1.dn_loss_bbox: 0.1961 d1.dn_loss_iou: 0.2441 d2.dn_loss_cls: 0.0941 d2.dn_loss_bbox: 0.1738 d2.dn_loss_iou: 0.2209 d3.dn_loss_cls: 0.0861 d3.dn_loss_bbox: 0.1639 d3.dn_loss_iou: 0.2125 d4.dn_loss_cls: 0.0833 d4.dn_loss_bbox: 0.1624 d4.dn_loss_iou: 0.2102 d1.loss_lmm_region: 0.1145 loss_lmm_image: 0.8404 +2024/11/08 09:31:37 - mmengine - INFO - Iter(train) [ 97300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:17:58 time: 1.0275 data_time: 0.0182 memory: 24062 grad_norm: 26.6694 loss: 9.6174 loss_cls: 0.3319 loss_bbox: 0.1347 loss_iou: 0.2836 d0.loss_cls: 0.3631 d0.loss_bbox: 0.1474 d0.loss_iou: 0.2989 d1.loss_cls: 0.3502 d1.loss_bbox: 0.1417 d1.loss_iou: 0.2907 d2.loss_cls: 0.3446 d2.loss_bbox: 0.1349 d2.loss_iou: 0.2829 d3.loss_cls: 0.3381 d3.loss_bbox: 0.1339 d3.loss_iou: 0.2826 d4.loss_cls: 0.3313 d4.loss_bbox: 0.1341 d4.loss_iou: 0.2845 enc_loss_cls: 0.3798 enc_loss_bbox: 0.1627 enc_loss_iou: 0.3198 dn_loss_cls: 0.0987 dn_loss_bbox: 0.1391 dn_loss_iou: 0.2171 d0.dn_loss_cls: 0.1758 d0.dn_loss_bbox: 0.2638 d0.dn_loss_iou: 0.3509 d1.dn_loss_cls: 0.1259 d1.dn_loss_bbox: 0.1690 d1.dn_loss_iou: 0.2488 d2.dn_loss_cls: 0.1144 d2.dn_loss_bbox: 0.1481 d2.dn_loss_iou: 0.2252 d3.dn_loss_cls: 0.1044 d3.dn_loss_bbox: 0.1404 d3.dn_loss_iou: 0.2182 d4.dn_loss_cls: 0.0987 d4.dn_loss_bbox: 0.1390 d4.dn_loss_iou: 0.2169 d1.loss_lmm_region: 0.1240 loss_lmm_image: 0.8280 +2024/11/08 09:33:19 - mmengine - INFO - Iter(train) [ 97400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:16:12 time: 1.0202 data_time: 0.0182 memory: 22787 grad_norm: 21.0042 loss: 8.8755 loss_cls: 0.3062 loss_bbox: 0.1144 loss_iou: 0.2409 d0.loss_cls: 0.3378 d0.loss_bbox: 0.1276 d0.loss_iou: 0.2568 d1.loss_cls: 0.3232 d1.loss_bbox: 0.1198 d1.loss_iou: 0.2469 d2.loss_cls: 0.3132 d2.loss_bbox: 0.1188 d2.loss_iou: 0.2443 d3.loss_cls: 0.3111 d3.loss_bbox: 0.1143 d3.loss_iou: 0.2412 d4.loss_cls: 0.3107 d4.loss_bbox: 0.1138 d4.loss_iou: 0.2408 enc_loss_cls: 0.3468 enc_loss_bbox: 0.1423 enc_loss_iou: 0.2802 dn_loss_cls: 0.1020 dn_loss_bbox: 0.1413 dn_loss_iou: 0.1929 d0.dn_loss_cls: 0.1675 d0.dn_loss_bbox: 0.2899 d0.dn_loss_iou: 0.3378 d1.dn_loss_cls: 0.1216 d1.dn_loss_bbox: 0.1728 d1.dn_loss_iou: 0.2258 d2.dn_loss_cls: 0.1087 d2.dn_loss_bbox: 0.1469 d2.dn_loss_iou: 0.2005 d3.dn_loss_cls: 0.1078 d3.dn_loss_bbox: 0.1422 d3.dn_loss_iou: 0.1944 d4.dn_loss_cls: 0.1038 d4.dn_loss_bbox: 0.1411 d4.dn_loss_iou: 0.1929 d1.loss_lmm_region: 0.1363 loss_lmm_image: 0.7982 +2024/11/08 09:35:00 - mmengine - INFO - Iter(train) [ 97500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:14:26 time: 1.0061 data_time: 0.0183 memory: 23104 grad_norm: 21.2473 loss: 8.6865 loss_cls: 0.2519 loss_bbox: 0.1186 loss_iou: 0.2359 d0.loss_cls: 0.2777 d0.loss_bbox: 0.1382 d0.loss_iou: 0.2564 d1.loss_cls: 0.2637 d1.loss_bbox: 0.1251 d1.loss_iou: 0.2463 d2.loss_cls: 0.2569 d2.loss_bbox: 0.1192 d2.loss_iou: 0.2396 d3.loss_cls: 0.2538 d3.loss_bbox: 0.1181 d3.loss_iou: 0.2359 d4.loss_cls: 0.2499 d4.loss_bbox: 0.1203 d4.loss_iou: 0.2372 enc_loss_cls: 0.2984 enc_loss_bbox: 0.1535 enc_loss_iou: 0.2789 dn_loss_cls: 0.0784 dn_loss_bbox: 0.1544 dn_loss_iou: 0.2138 d0.dn_loss_cls: 0.1652 d0.dn_loss_bbox: 0.3168 d0.dn_loss_iou: 0.3677 d1.dn_loss_cls: 0.1102 d1.dn_loss_bbox: 0.1937 d1.dn_loss_iou: 0.2514 d2.dn_loss_cls: 0.0934 d2.dn_loss_bbox: 0.1641 d2.dn_loss_iou: 0.2239 d3.dn_loss_cls: 0.0829 d3.dn_loss_bbox: 0.1570 d3.dn_loss_iou: 0.2160 d4.dn_loss_cls: 0.0794 d4.dn_loss_bbox: 0.1545 d4.dn_loss_iou: 0.2138 d1.loss_lmm_region: 0.1548 loss_lmm_image: 0.8197 +2024/11/08 09:36:42 - mmengine - INFO - Iter(train) [ 97600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:12:40 time: 1.0217 data_time: 0.0182 memory: 23523 grad_norm: 22.6914 loss: 9.5170 loss_cls: 0.3049 loss_bbox: 0.1488 loss_iou: 0.2582 d0.loss_cls: 0.3445 d0.loss_bbox: 0.1642 d0.loss_iou: 0.2749 d1.loss_cls: 0.3248 d1.loss_bbox: 0.1557 d1.loss_iou: 0.2625 d2.loss_cls: 0.3146 d2.loss_bbox: 0.1542 d2.loss_iou: 0.2612 d3.loss_cls: 0.3106 d3.loss_bbox: 0.1481 d3.loss_iou: 0.2569 d4.loss_cls: 0.3064 d4.loss_bbox: 0.1490 d4.loss_iou: 0.2579 enc_loss_cls: 0.3613 enc_loss_bbox: 0.1855 enc_loss_iou: 0.3002 dn_loss_cls: 0.0964 dn_loss_bbox: 0.1631 dn_loss_iou: 0.2138 d0.dn_loss_cls: 0.1827 d0.dn_loss_bbox: 0.2979 d0.dn_loss_iou: 0.3582 d1.dn_loss_cls: 0.1257 d1.dn_loss_bbox: 0.1952 d1.dn_loss_iou: 0.2487 d2.dn_loss_cls: 0.1099 d2.dn_loss_bbox: 0.1720 d2.dn_loss_iou: 0.2228 d3.dn_loss_cls: 0.1002 d3.dn_loss_bbox: 0.1644 d3.dn_loss_iou: 0.2156 d4.dn_loss_cls: 0.0966 d4.dn_loss_bbox: 0.1631 d4.dn_loss_iou: 0.2139 d1.loss_lmm_region: 0.1321 loss_lmm_image: 0.8005 +2024/11/08 09:38:25 - mmengine - INFO - Iter(train) [ 97700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:10:54 time: 1.0198 data_time: 0.0183 memory: 22799 grad_norm: 25.7909 loss: 9.1071 loss_cls: 0.2692 loss_bbox: 0.1328 loss_iou: 0.2576 d0.loss_cls: 0.2854 d0.loss_bbox: 0.1581 d0.loss_iou: 0.2872 d1.loss_cls: 0.2828 d1.loss_bbox: 0.1389 d1.loss_iou: 0.2655 d2.loss_cls: 0.2763 d2.loss_bbox: 0.1355 d2.loss_iou: 0.2590 d3.loss_cls: 0.2750 d3.loss_bbox: 0.1314 d3.loss_iou: 0.2565 d4.loss_cls: 0.2683 d4.loss_bbox: 0.1339 d4.loss_iou: 0.2569 enc_loss_cls: 0.3075 enc_loss_bbox: 0.1655 enc_loss_iou: 0.3049 dn_loss_cls: 0.0881 dn_loss_bbox: 0.1491 dn_loss_iou: 0.2163 d0.dn_loss_cls: 0.1693 d0.dn_loss_bbox: 0.2983 d0.dn_loss_iou: 0.3712 d1.dn_loss_cls: 0.1187 d1.dn_loss_bbox: 0.1853 d1.dn_loss_iou: 0.2530 d2.dn_loss_cls: 0.1035 d2.dn_loss_bbox: 0.1587 d2.dn_loss_iou: 0.2255 d3.dn_loss_cls: 0.0954 d3.dn_loss_bbox: 0.1504 d3.dn_loss_iou: 0.2176 d4.dn_loss_cls: 0.0879 d4.dn_loss_bbox: 0.1492 d4.dn_loss_iou: 0.2163 d1.loss_lmm_region: 0.1218 loss_lmm_image: 0.8832 +2024/11/08 09:40:07 - mmengine - INFO - Iter(train) [ 97800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:09:09 time: 1.0268 data_time: 0.0182 memory: 24250 grad_norm: 21.3818 loss: 8.9901 loss_cls: 0.2517 loss_bbox: 0.1314 loss_iou: 0.2347 d0.loss_cls: 0.2795 d0.loss_bbox: 0.1445 d0.loss_iou: 0.2492 d1.loss_cls: 0.2615 d1.loss_bbox: 0.1350 d1.loss_iou: 0.2399 d2.loss_cls: 0.2512 d2.loss_bbox: 0.1348 d2.loss_iou: 0.2381 d3.loss_cls: 0.2508 d3.loss_bbox: 0.1318 d3.loss_iou: 0.2375 d4.loss_cls: 0.2483 d4.loss_bbox: 0.1340 d4.loss_iou: 0.2361 enc_loss_cls: 0.2955 enc_loss_bbox: 0.1560 enc_loss_iou: 0.2742 dn_loss_cls: 0.0722 dn_loss_bbox: 0.1885 dn_loss_iou: 0.2417 d0.dn_loss_cls: 0.1626 d0.dn_loss_bbox: 0.3583 d0.dn_loss_iou: 0.4048 d1.dn_loss_cls: 0.1070 d1.dn_loss_bbox: 0.2285 d1.dn_loss_iou: 0.2766 d2.dn_loss_cls: 0.0884 d2.dn_loss_bbox: 0.1981 d2.dn_loss_iou: 0.2505 d3.dn_loss_cls: 0.0763 d3.dn_loss_bbox: 0.1899 d3.dn_loss_iou: 0.2428 d4.dn_loss_cls: 0.0725 d4.dn_loss_bbox: 0.1886 d4.dn_loss_iou: 0.2416 d1.loss_lmm_region: 0.1213 loss_lmm_image: 0.7646 +2024/11/08 09:41:50 - mmengine - INFO - Iter(train) [ 97900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:07:23 time: 1.0398 data_time: 0.0182 memory: 23911 grad_norm: 21.0563 loss: 9.2712 loss_cls: 0.2961 loss_bbox: 0.1456 loss_iou: 0.2550 d0.loss_cls: 0.3381 d0.loss_bbox: 0.1567 d0.loss_iou: 0.2683 d1.loss_cls: 0.3251 d1.loss_bbox: 0.1440 d1.loss_iou: 0.2549 d2.loss_cls: 0.3120 d2.loss_bbox: 0.1423 d2.loss_iou: 0.2526 d3.loss_cls: 0.3030 d3.loss_bbox: 0.1443 d3.loss_iou: 0.2535 d4.loss_cls: 0.2992 d4.loss_bbox: 0.1453 d4.loss_iou: 0.2547 enc_loss_cls: 0.3533 enc_loss_bbox: 0.1686 enc_loss_iou: 0.2868 dn_loss_cls: 0.0737 dn_loss_bbox: 0.1615 dn_loss_iou: 0.2220 d0.dn_loss_cls: 0.1549 d0.dn_loss_bbox: 0.3065 d0.dn_loss_iou: 0.3625 d1.dn_loss_cls: 0.1023 d1.dn_loss_bbox: 0.1936 d1.dn_loss_iou: 0.2536 d2.dn_loss_cls: 0.0876 d2.dn_loss_bbox: 0.1682 d2.dn_loss_iou: 0.2303 d3.dn_loss_cls: 0.0798 d3.dn_loss_bbox: 0.1614 d3.dn_loss_iou: 0.2224 d4.dn_loss_cls: 0.0760 d4.dn_loss_bbox: 0.1613 d4.dn_loss_iou: 0.2218 d1.loss_lmm_region: 0.1418 loss_lmm_image: 0.7910 +2024/11/08 09:43:32 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/08 09:43:32 - mmengine - INFO - Iter(train) [ 98000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:05:37 time: 1.0247 data_time: 0.0182 memory: 23609 grad_norm: 20.8158 loss: 9.7327 loss_cls: 0.3096 loss_bbox: 0.1502 loss_iou: 0.2689 d0.loss_cls: 0.3538 d0.loss_bbox: 0.1658 d0.loss_iou: 0.2874 d1.loss_cls: 0.3310 d1.loss_bbox: 0.1558 d1.loss_iou: 0.2744 d2.loss_cls: 0.3214 d2.loss_bbox: 0.1526 d2.loss_iou: 0.2706 d3.loss_cls: 0.3166 d3.loss_bbox: 0.1515 d3.loss_iou: 0.2687 d4.loss_cls: 0.3097 d4.loss_bbox: 0.1505 d4.loss_iou: 0.2690 enc_loss_cls: 0.3692 enc_loss_bbox: 0.1808 enc_loss_iou: 0.3081 dn_loss_cls: 0.0798 dn_loss_bbox: 0.1728 dn_loss_iou: 0.2298 d0.dn_loss_cls: 0.1765 d0.dn_loss_bbox: 0.3418 d0.dn_loss_iou: 0.3959 d1.dn_loss_cls: 0.1110 d1.dn_loss_bbox: 0.2099 d1.dn_loss_iou: 0.2678 d2.dn_loss_cls: 0.0930 d2.dn_loss_bbox: 0.1812 d2.dn_loss_iou: 0.2389 d3.dn_loss_cls: 0.0852 d3.dn_loss_bbox: 0.1748 d3.dn_loss_iou: 0.2319 d4.dn_loss_cls: 0.0812 d4.dn_loss_bbox: 0.1728 d4.dn_loss_iou: 0.2300 d1.loss_lmm_region: 0.1281 loss_lmm_image: 0.7646 +2024/11/08 09:45:14 - mmengine - INFO - Iter(train) [ 98100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:03:52 time: 1.0088 data_time: 0.0183 memory: 23065 grad_norm: 24.9184 loss: 8.8268 loss_cls: 0.2517 loss_bbox: 0.1412 loss_iou: 0.2598 d0.loss_cls: 0.2852 d0.loss_bbox: 0.1532 d0.loss_iou: 0.2747 d1.loss_cls: 0.2729 d1.loss_bbox: 0.1421 d1.loss_iou: 0.2646 d2.loss_cls: 0.2645 d2.loss_bbox: 0.1410 d2.loss_iou: 0.2594 d3.loss_cls: 0.2625 d3.loss_bbox: 0.1374 d3.loss_iou: 0.2570 d4.loss_cls: 0.2547 d4.loss_bbox: 0.1386 d4.loss_iou: 0.2578 enc_loss_cls: 0.3041 enc_loss_bbox: 0.1604 enc_loss_iou: 0.2931 dn_loss_cls: 0.0875 dn_loss_bbox: 0.1445 dn_loss_iou: 0.2162 d0.dn_loss_cls: 0.1590 d0.dn_loss_bbox: 0.2659 d0.dn_loss_iou: 0.3443 d1.dn_loss_cls: 0.1115 d1.dn_loss_bbox: 0.1711 d1.dn_loss_iou: 0.2448 d2.dn_loss_cls: 0.0979 d2.dn_loss_bbox: 0.1506 d2.dn_loss_iou: 0.2229 d3.dn_loss_cls: 0.0925 d3.dn_loss_bbox: 0.1452 d3.dn_loss_iou: 0.2165 d4.dn_loss_cls: 0.0879 d4.dn_loss_bbox: 0.1445 d4.dn_loss_iou: 0.2161 d1.loss_lmm_region: 0.1228 loss_lmm_image: 0.8094 +2024/11/08 09:46:56 - mmengine - INFO - Iter(train) [ 98200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:02:06 time: 1.0108 data_time: 0.0182 memory: 24812 grad_norm: 20.9805 loss: 9.1734 loss_cls: 0.2975 loss_bbox: 0.1351 loss_iou: 0.2523 d0.loss_cls: 0.3418 d0.loss_bbox: 0.1403 d0.loss_iou: 0.2647 d1.loss_cls: 0.3194 d1.loss_bbox: 0.1333 d1.loss_iou: 0.2529 d2.loss_cls: 0.3054 d2.loss_bbox: 0.1341 d2.loss_iou: 0.2533 d3.loss_cls: 0.3057 d3.loss_bbox: 0.1276 d3.loss_iou: 0.2493 d4.loss_cls: 0.3015 d4.loss_bbox: 0.1287 d4.loss_iou: 0.2493 enc_loss_cls: 0.3496 enc_loss_bbox: 0.1574 enc_loss_iou: 0.2880 dn_loss_cls: 0.0969 dn_loss_bbox: 0.1578 dn_loss_iou: 0.2098 d0.dn_loss_cls: 0.1740 d0.dn_loss_bbox: 0.3097 d0.dn_loss_iou: 0.3483 d1.dn_loss_cls: 0.1221 d1.dn_loss_bbox: 0.1952 d1.dn_loss_iou: 0.2422 d2.dn_loss_cls: 0.1074 d2.dn_loss_bbox: 0.1676 d2.dn_loss_iou: 0.2184 d3.dn_loss_cls: 0.1034 d3.dn_loss_bbox: 0.1587 d3.dn_loss_iou: 0.2104 d4.dn_loss_cls: 0.0983 d4.dn_loss_bbox: 0.1578 d4.dn_loss_iou: 0.2097 d1.loss_lmm_region: 0.1320 loss_lmm_image: 0.7662 +2024/11/08 09:48:38 - mmengine - INFO - Iter(train) [ 98300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:00:20 time: 1.0137 data_time: 0.0182 memory: 22768 grad_norm: 20.1030 loss: 10.8482 loss_cls: 0.3410 loss_bbox: 0.1875 loss_iou: 0.3006 d0.loss_cls: 0.3798 d0.loss_bbox: 0.2034 d0.loss_iou: 0.3263 d1.loss_cls: 0.3650 d1.loss_bbox: 0.1844 d1.loss_iou: 0.3047 d2.loss_cls: 0.3522 d2.loss_bbox: 0.1890 d2.loss_iou: 0.3042 d3.loss_cls: 0.3457 d3.loss_bbox: 0.1870 d3.loss_iou: 0.3021 d4.loss_cls: 0.3408 d4.loss_bbox: 0.1872 d4.loss_iou: 0.3023 enc_loss_cls: 0.4060 enc_loss_bbox: 0.2179 enc_loss_iou: 0.3450 dn_loss_cls: 0.1045 dn_loss_bbox: 0.1969 dn_loss_iou: 0.2479 d0.dn_loss_cls: 0.1999 d0.dn_loss_bbox: 0.3549 d0.dn_loss_iou: 0.4005 d1.dn_loss_cls: 0.1413 d1.dn_loss_bbox: 0.2327 d1.dn_loss_iou: 0.2844 d2.dn_loss_cls: 0.1245 d2.dn_loss_bbox: 0.2056 d2.dn_loss_iou: 0.2578 d3.dn_loss_cls: 0.1122 d3.dn_loss_bbox: 0.1985 d3.dn_loss_iou: 0.2495 d4.dn_loss_cls: 0.1059 d4.dn_loss_bbox: 0.1971 d4.dn_loss_iou: 0.2480 d1.loss_lmm_region: 0.1624 loss_lmm_image: 0.7516 +2024/11/08 09:50:20 - mmengine - INFO - Iter(train) [ 98400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:58:34 time: 1.0166 data_time: 0.0183 memory: 24327 grad_norm: 20.4615 loss: 9.2953 loss_cls: 0.2750 loss_bbox: 0.1593 loss_iou: 0.2651 d0.loss_cls: 0.3120 d0.loss_bbox: 0.1664 d0.loss_iou: 0.2797 d1.loss_cls: 0.2913 d1.loss_bbox: 0.1607 d1.loss_iou: 0.2698 d2.loss_cls: 0.2842 d2.loss_bbox: 0.1568 d2.loss_iou: 0.2670 d3.loss_cls: 0.2815 d3.loss_bbox: 0.1567 d3.loss_iou: 0.2647 d4.loss_cls: 0.2737 d4.loss_bbox: 0.1598 d4.loss_iou: 0.2657 enc_loss_cls: 0.3260 enc_loss_bbox: 0.1824 enc_loss_iou: 0.3013 dn_loss_cls: 0.0789 dn_loss_bbox: 0.1597 dn_loss_iou: 0.2240 d0.dn_loss_cls: 0.1611 d0.dn_loss_bbox: 0.3101 d0.dn_loss_iou: 0.3746 d1.dn_loss_cls: 0.1098 d1.dn_loss_bbox: 0.1895 d1.dn_loss_iou: 0.2551 d2.dn_loss_cls: 0.0923 d2.dn_loss_bbox: 0.1696 d2.dn_loss_iou: 0.2318 d3.dn_loss_cls: 0.0848 d3.dn_loss_bbox: 0.1617 d3.dn_loss_iou: 0.2251 d4.dn_loss_cls: 0.0808 d4.dn_loss_bbox: 0.1597 d4.dn_loss_iou: 0.2241 d1.loss_lmm_region: 0.1490 loss_lmm_image: 0.7547 +2024/11/08 09:52:02 - mmengine - INFO - Iter(train) [ 98500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:56:48 time: 1.0232 data_time: 0.0184 memory: 22550 grad_norm: 20.9571 loss: 8.6898 loss_cls: 0.2564 loss_bbox: 0.1225 loss_iou: 0.2124 d0.loss_cls: 0.2859 d0.loss_bbox: 0.1303 d0.loss_iou: 0.2237 d1.loss_cls: 0.2723 d1.loss_bbox: 0.1256 d1.loss_iou: 0.2156 d2.loss_cls: 0.2660 d2.loss_bbox: 0.1234 d2.loss_iou: 0.2144 d3.loss_cls: 0.2603 d3.loss_bbox: 0.1206 d3.loss_iou: 0.2112 d4.loss_cls: 0.2561 d4.loss_bbox: 0.1223 d4.loss_iou: 0.2118 enc_loss_cls: 0.3078 enc_loss_bbox: 0.1387 enc_loss_iou: 0.2404 dn_loss_cls: 0.0755 dn_loss_bbox: 0.1895 dn_loss_iou: 0.2138 d0.dn_loss_cls: 0.1678 d0.dn_loss_bbox: 0.3812 d0.dn_loss_iou: 0.3742 d1.dn_loss_cls: 0.1102 d1.dn_loss_bbox: 0.2393 d1.dn_loss_iou: 0.2533 d2.dn_loss_cls: 0.0895 d2.dn_loss_bbox: 0.2035 d2.dn_loss_iou: 0.2253 d3.dn_loss_cls: 0.0801 d3.dn_loss_bbox: 0.1906 d3.dn_loss_iou: 0.2152 d4.dn_loss_cls: 0.0765 d4.dn_loss_bbox: 0.1895 d4.dn_loss_iou: 0.2137 d1.loss_lmm_region: 0.1153 loss_lmm_image: 0.7682 +2024/11/08 09:53:44 - mmengine - INFO - Iter(train) [ 98600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:55:03 time: 1.0228 data_time: 0.0183 memory: 23473 grad_norm: 20.4214 loss: 9.5373 loss_cls: 0.3059 loss_bbox: 0.1431 loss_iou: 0.2872 d0.loss_cls: 0.3376 d0.loss_bbox: 0.1561 d0.loss_iou: 0.3007 d1.loss_cls: 0.3241 d1.loss_bbox: 0.1470 d1.loss_iou: 0.2942 d2.loss_cls: 0.3208 d2.loss_bbox: 0.1433 d2.loss_iou: 0.2895 d3.loss_cls: 0.3137 d3.loss_bbox: 0.1406 d3.loss_iou: 0.2876 d4.loss_cls: 0.3083 d4.loss_bbox: 0.1414 d4.loss_iou: 0.2878 enc_loss_cls: 0.3612 enc_loss_bbox: 0.1665 enc_loss_iou: 0.3261 dn_loss_cls: 0.0848 dn_loss_bbox: 0.1465 dn_loss_iou: 0.2265 d0.dn_loss_cls: 0.1696 d0.dn_loss_bbox: 0.2897 d0.dn_loss_iou: 0.3802 d1.dn_loss_cls: 0.1156 d1.dn_loss_bbox: 0.1808 d1.dn_loss_iou: 0.2638 d2.dn_loss_cls: 0.1007 d2.dn_loss_bbox: 0.1556 d2.dn_loss_iou: 0.2372 d3.dn_loss_cls: 0.0894 d3.dn_loss_bbox: 0.1476 d3.dn_loss_iou: 0.2284 d4.dn_loss_cls: 0.0855 d4.dn_loss_bbox: 0.1466 d4.dn_loss_iou: 0.2266 d1.loss_lmm_region: 0.1209 loss_lmm_image: 0.7585 +2024/11/08 09:55:26 - mmengine - INFO - Iter(train) [ 98700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:53:17 time: 1.0151 data_time: 0.0182 memory: 23654 grad_norm: 21.4814 loss: 9.2482 loss_cls: 0.2855 loss_bbox: 0.1371 loss_iou: 0.2660 d0.loss_cls: 0.3127 d0.loss_bbox: 0.1530 d0.loss_iou: 0.2777 d1.loss_cls: 0.3033 d1.loss_bbox: 0.1400 d1.loss_iou: 0.2659 d2.loss_cls: 0.2927 d2.loss_bbox: 0.1400 d2.loss_iou: 0.2661 d3.loss_cls: 0.2910 d3.loss_bbox: 0.1384 d3.loss_iou: 0.2633 d4.loss_cls: 0.2869 d4.loss_bbox: 0.1369 d4.loss_iou: 0.2674 enc_loss_cls: 0.3241 enc_loss_bbox: 0.1665 enc_loss_iou: 0.2975 dn_loss_cls: 0.0786 dn_loss_bbox: 0.1598 dn_loss_iou: 0.2229 d0.dn_loss_cls: 0.1652 d0.dn_loss_bbox: 0.3357 d0.dn_loss_iou: 0.3817 d1.dn_loss_cls: 0.1080 d1.dn_loss_bbox: 0.2035 d1.dn_loss_iou: 0.2580 d2.dn_loss_cls: 0.0928 d2.dn_loss_bbox: 0.1722 d2.dn_loss_iou: 0.2326 d3.dn_loss_cls: 0.0831 d3.dn_loss_bbox: 0.1618 d3.dn_loss_iou: 0.2250 d4.dn_loss_cls: 0.0789 d4.dn_loss_bbox: 0.1600 d4.dn_loss_iou: 0.2231 d1.loss_lmm_region: 0.1200 loss_lmm_image: 0.7734 +2024/11/08 09:57:09 - mmengine - INFO - Iter(train) [ 98800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:51:31 time: 1.0248 data_time: 0.0183 memory: 23488 grad_norm: 21.7068 loss: 9.3032 loss_cls: 0.2816 loss_bbox: 0.1303 loss_iou: 0.2573 d0.loss_cls: 0.3135 d0.loss_bbox: 0.1430 d0.loss_iou: 0.2690 d1.loss_cls: 0.2959 d1.loss_bbox: 0.1305 d1.loss_iou: 0.2577 d2.loss_cls: 0.2910 d2.loss_bbox: 0.1282 d2.loss_iou: 0.2566 d3.loss_cls: 0.2845 d3.loss_bbox: 0.1298 d3.loss_iou: 0.2558 d4.loss_cls: 0.2838 d4.loss_bbox: 0.1285 d4.loss_iou: 0.2554 enc_loss_cls: 0.3301 enc_loss_bbox: 0.1603 enc_loss_iou: 0.2884 dn_loss_cls: 0.0958 dn_loss_bbox: 0.1799 dn_loss_iou: 0.2324 d0.dn_loss_cls: 0.1748 d0.dn_loss_bbox: 0.3296 d0.dn_loss_iou: 0.3799 d1.dn_loss_cls: 0.1211 d1.dn_loss_bbox: 0.2109 d1.dn_loss_iou: 0.2640 d2.dn_loss_cls: 0.1038 d2.dn_loss_bbox: 0.1867 d2.dn_loss_iou: 0.2397 d3.dn_loss_cls: 0.0983 d3.dn_loss_bbox: 0.1805 d3.dn_loss_iou: 0.2336 d4.dn_loss_cls: 0.0947 d4.dn_loss_bbox: 0.1800 d4.dn_loss_iou: 0.2324 d1.loss_lmm_region: 0.1305 loss_lmm_image: 0.7632 +2024/11/08 09:58:51 - mmengine - INFO - Iter(train) [ 98900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:49:46 time: 1.0291 data_time: 0.0185 memory: 24264 grad_norm: 24.0713 loss: 9.8379 loss_cls: 0.3324 loss_bbox: 0.1612 loss_iou: 0.2507 d0.loss_cls: 0.3684 d0.loss_bbox: 0.1730 d0.loss_iou: 0.2733 d1.loss_cls: 0.3411 d1.loss_bbox: 0.1743 d1.loss_iou: 0.2691 d2.loss_cls: 0.3422 d2.loss_bbox: 0.1631 d2.loss_iou: 0.2548 d3.loss_cls: 0.3335 d3.loss_bbox: 0.1641 d3.loss_iou: 0.2547 d4.loss_cls: 0.3359 d4.loss_bbox: 0.1600 d4.loss_iou: 0.2503 enc_loss_cls: 0.3865 enc_loss_bbox: 0.1945 enc_loss_iou: 0.2969 dn_loss_cls: 0.0870 dn_loss_bbox: 0.1720 dn_loss_iou: 0.2209 d0.dn_loss_cls: 0.1802 d0.dn_loss_bbox: 0.3338 d0.dn_loss_iou: 0.3662 d1.dn_loss_cls: 0.1241 d1.dn_loss_bbox: 0.2111 d1.dn_loss_iou: 0.2558 d2.dn_loss_cls: 0.1085 d2.dn_loss_bbox: 0.1839 d2.dn_loss_iou: 0.2311 d3.dn_loss_cls: 0.0931 d3.dn_loss_bbox: 0.1734 d3.dn_loss_iou: 0.2225 d4.dn_loss_cls: 0.0880 d4.dn_loss_bbox: 0.1721 d4.dn_loss_iou: 0.2208 d1.loss_lmm_region: 0.1551 loss_lmm_image: 0.7584 +2024/11/08 10:00:34 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/08 10:00:34 - mmengine - INFO - Iter(train) [ 99000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:48:00 time: 1.0179 data_time: 0.0183 memory: 22962 grad_norm: 21.7176 loss: 9.1280 loss_cls: 0.3062 loss_bbox: 0.1204 loss_iou: 0.2087 d0.loss_cls: 0.3292 d0.loss_bbox: 0.1367 d0.loss_iou: 0.2299 d1.loss_cls: 0.3212 d1.loss_bbox: 0.1252 d1.loss_iou: 0.2140 d2.loss_cls: 0.3153 d2.loss_bbox: 0.1238 d2.loss_iou: 0.2129 d3.loss_cls: 0.3179 d3.loss_bbox: 0.1185 d3.loss_iou: 0.2056 d4.loss_cls: 0.3113 d4.loss_bbox: 0.1202 d4.loss_iou: 0.2086 enc_loss_cls: 0.3448 enc_loss_bbox: 0.1536 enc_loss_iou: 0.2535 dn_loss_cls: 0.0917 dn_loss_bbox: 0.1923 dn_loss_iou: 0.2178 d0.dn_loss_cls: 0.1813 d0.dn_loss_bbox: 0.3541 d0.dn_loss_iou: 0.3712 d1.dn_loss_cls: 0.1291 d1.dn_loss_bbox: 0.2223 d1.dn_loss_iou: 0.2521 d2.dn_loss_cls: 0.1085 d2.dn_loss_bbox: 0.1998 d2.dn_loss_iou: 0.2275 d3.dn_loss_cls: 0.0980 d3.dn_loss_bbox: 0.1934 d3.dn_loss_iou: 0.2196 d4.dn_loss_cls: 0.0926 d4.dn_loss_bbox: 0.1923 d4.dn_loss_iou: 0.2177 d1.loss_lmm_region: 0.1438 loss_lmm_image: 0.7453 +2024/11/08 10:02:15 - mmengine - INFO - Iter(train) [ 99100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:46:15 time: 1.0112 data_time: 0.0184 memory: 24908 grad_norm: 23.8766 loss: 9.0093 loss_cls: 0.2925 loss_bbox: 0.1347 loss_iou: 0.2411 d0.loss_cls: 0.3151 d0.loss_bbox: 0.1557 d0.loss_iou: 0.2666 d1.loss_cls: 0.3049 d1.loss_bbox: 0.1450 d1.loss_iou: 0.2534 d2.loss_cls: 0.2994 d2.loss_bbox: 0.1390 d2.loss_iou: 0.2450 d3.loss_cls: 0.2956 d3.loss_bbox: 0.1358 d3.loss_iou: 0.2420 d4.loss_cls: 0.2955 d4.loss_bbox: 0.1332 d4.loss_iou: 0.2408 enc_loss_cls: 0.3412 enc_loss_bbox: 0.1666 enc_loss_iou: 0.2902 dn_loss_cls: 0.0748 dn_loss_bbox: 0.1562 dn_loss_iou: 0.2066 d0.dn_loss_cls: 0.1561 d0.dn_loss_bbox: 0.2935 d0.dn_loss_iou: 0.3539 d1.dn_loss_cls: 0.1014 d1.dn_loss_bbox: 0.1879 d1.dn_loss_iou: 0.2404 d2.dn_loss_cls: 0.0878 d2.dn_loss_bbox: 0.1657 d2.dn_loss_iou: 0.2163 d3.dn_loss_cls: 0.0800 d3.dn_loss_bbox: 0.1570 d3.dn_loss_iou: 0.2081 d4.dn_loss_cls: 0.0756 d4.dn_loss_bbox: 0.1561 d4.dn_loss_iou: 0.2065 d1.loss_lmm_region: 0.1334 loss_lmm_image: 0.8187 +2024/11/08 10:03:58 - mmengine - INFO - Iter(train) [ 99200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:44:29 time: 1.0205 data_time: 0.0183 memory: 23158 grad_norm: 22.2399 loss: 10.9538 loss_cls: 0.3235 loss_bbox: 0.1894 loss_iou: 0.3299 d0.loss_cls: 0.3600 d0.loss_bbox: 0.2147 d0.loss_iou: 0.3502 d1.loss_cls: 0.3470 d1.loss_bbox: 0.1959 d1.loss_iou: 0.3355 d2.loss_cls: 0.3370 d2.loss_bbox: 0.1910 d2.loss_iou: 0.3303 d3.loss_cls: 0.3289 d3.loss_bbox: 0.1917 d3.loss_iou: 0.3289 d4.loss_cls: 0.3261 d4.loss_bbox: 0.1880 d4.loss_iou: 0.3289 enc_loss_cls: 0.3835 enc_loss_bbox: 0.2161 enc_loss_iou: 0.3603 dn_loss_cls: 0.0990 dn_loss_bbox: 0.1995 dn_loss_iou: 0.2548 d0.dn_loss_cls: 0.1852 d0.dn_loss_bbox: 0.3497 d0.dn_loss_iou: 0.4099 d1.dn_loss_cls: 0.1270 d1.dn_loss_bbox: 0.2285 d1.dn_loss_iou: 0.2869 d2.dn_loss_cls: 0.1123 d2.dn_loss_bbox: 0.2058 d2.dn_loss_iou: 0.2631 d3.dn_loss_cls: 0.1028 d3.dn_loss_bbox: 0.2006 d3.dn_loss_iou: 0.2558 d4.dn_loss_cls: 0.0994 d4.dn_loss_bbox: 0.1994 d4.dn_loss_iou: 0.2546 d1.loss_lmm_region: 0.1644 loss_lmm_image: 0.7984 +2024/11/08 10:05:40 - mmengine - INFO - Iter(train) [ 99300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:42:43 time: 1.0198 data_time: 0.0184 memory: 23969 grad_norm: 22.8377 loss: 9.4771 loss_cls: 0.2723 loss_bbox: 0.1436 loss_iou: 0.2613 d0.loss_cls: 0.3031 d0.loss_bbox: 0.1633 d0.loss_iou: 0.2801 d1.loss_cls: 0.2838 d1.loss_bbox: 0.1601 d1.loss_iou: 0.2708 d2.loss_cls: 0.2794 d2.loss_bbox: 0.1498 d2.loss_iou: 0.2650 d3.loss_cls: 0.2785 d3.loss_bbox: 0.1434 d3.loss_iou: 0.2599 d4.loss_cls: 0.2729 d4.loss_bbox: 0.1431 d4.loss_iou: 0.2612 enc_loss_cls: 0.3267 enc_loss_bbox: 0.1782 enc_loss_iou: 0.2978 dn_loss_cls: 0.0650 dn_loss_bbox: 0.1933 dn_loss_iou: 0.2452 d0.dn_loss_cls: 0.1602 d0.dn_loss_bbox: 0.3570 d0.dn_loss_iou: 0.4099 d1.dn_loss_cls: 0.0943 d1.dn_loss_bbox: 0.2302 d1.dn_loss_iou: 0.2825 d2.dn_loss_cls: 0.0761 d2.dn_loss_bbox: 0.2011 d2.dn_loss_iou: 0.2543 d3.dn_loss_cls: 0.0680 d3.dn_loss_bbox: 0.1940 d3.dn_loss_iou: 0.2463 d4.dn_loss_cls: 0.0643 d4.dn_loss_bbox: 0.1933 d4.dn_loss_iou: 0.2452 d1.loss_lmm_region: 0.1319 loss_lmm_image: 0.7710 +2024/11/08 10:07:22 - mmengine - INFO - Iter(train) [ 99400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:40:58 time: 1.0280 data_time: 0.0181 memory: 24122 grad_norm: 19.2150 loss: 10.1923 loss_cls: 0.3229 loss_bbox: 0.1681 loss_iou: 0.2945 d0.loss_cls: 0.3623 d0.loss_bbox: 0.1859 d0.loss_iou: 0.3213 d1.loss_cls: 0.3527 d1.loss_bbox: 0.1730 d1.loss_iou: 0.3058 d2.loss_cls: 0.3392 d2.loss_bbox: 0.1688 d2.loss_iou: 0.2969 d3.loss_cls: 0.3312 d3.loss_bbox: 0.1685 d3.loss_iou: 0.2986 d4.loss_cls: 0.3233 d4.loss_bbox: 0.1684 d4.loss_iou: 0.2958 enc_loss_cls: 0.3838 enc_loss_bbox: 0.2016 enc_loss_iou: 0.3447 dn_loss_cls: 0.0886 dn_loss_bbox: 0.1728 dn_loss_iou: 0.2250 d0.dn_loss_cls: 0.1860 d0.dn_loss_bbox: 0.3139 d0.dn_loss_iou: 0.3724 d1.dn_loss_cls: 0.1258 d1.dn_loss_bbox: 0.2052 d1.dn_loss_iou: 0.2588 d2.dn_loss_cls: 0.1071 d2.dn_loss_bbox: 0.1834 d2.dn_loss_iou: 0.2349 d3.dn_loss_cls: 0.0954 d3.dn_loss_bbox: 0.1735 d3.dn_loss_iou: 0.2260 d4.dn_loss_cls: 0.0900 d4.dn_loss_bbox: 0.1729 d4.dn_loss_iou: 0.2250 d1.loss_lmm_region: 0.1303 loss_lmm_image: 0.7980 +2024/11/08 10:09:04 - mmengine - INFO - Iter(train) [ 99500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:39:12 time: 1.0182 data_time: 0.0183 memory: 23309 grad_norm: 27.4862 loss: 9.7249 loss_cls: 0.2957 loss_bbox: 0.1418 loss_iou: 0.2999 d0.loss_cls: 0.3274 d0.loss_bbox: 0.1599 d0.loss_iou: 0.3211 d1.loss_cls: 0.3059 d1.loss_bbox: 0.1512 d1.loss_iou: 0.3064 d2.loss_cls: 0.3021 d2.loss_bbox: 0.1464 d2.loss_iou: 0.3026 d3.loss_cls: 0.2963 d3.loss_bbox: 0.1480 d3.loss_iou: 0.3040 d4.loss_cls: 0.2981 d4.loss_bbox: 0.1411 d4.loss_iou: 0.2990 enc_loss_cls: 0.3458 enc_loss_bbox: 0.1783 enc_loss_iou: 0.3440 dn_loss_cls: 0.0815 dn_loss_bbox: 0.1736 dn_loss_iou: 0.2306 d0.dn_loss_cls: 0.1590 d0.dn_loss_bbox: 0.3190 d0.dn_loss_iou: 0.3731 d1.dn_loss_cls: 0.1074 d1.dn_loss_bbox: 0.2134 d1.dn_loss_iou: 0.2662 d2.dn_loss_cls: 0.0939 d2.dn_loss_bbox: 0.1842 d2.dn_loss_iou: 0.2397 d3.dn_loss_cls: 0.0867 d3.dn_loss_bbox: 0.1752 d3.dn_loss_iou: 0.2317 d4.dn_loss_cls: 0.0827 d4.dn_loss_bbox: 0.1736 d4.dn_loss_iou: 0.2305 d1.loss_lmm_region: 0.1192 loss_lmm_image: 0.7690 +2024/11/08 10:10:46 - mmengine - INFO - Iter(train) [ 99600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:37:26 time: 1.0201 data_time: 0.0184 memory: 22808 grad_norm: 22.9436 loss: 10.1467 loss_cls: 0.3401 loss_bbox: 0.1674 loss_iou: 0.2853 d0.loss_cls: 0.3714 d0.loss_bbox: 0.1906 d0.loss_iou: 0.3082 d1.loss_cls: 0.3614 d1.loss_bbox: 0.1691 d1.loss_iou: 0.2899 d2.loss_cls: 0.3570 d2.loss_bbox: 0.1654 d2.loss_iou: 0.2867 d3.loss_cls: 0.3480 d3.loss_bbox: 0.1680 d3.loss_iou: 0.2872 d4.loss_cls: 0.3421 d4.loss_bbox: 0.1656 d4.loss_iou: 0.2850 enc_loss_cls: 0.4004 enc_loss_bbox: 0.1941 enc_loss_iou: 0.3251 dn_loss_cls: 0.0837 dn_loss_bbox: 0.1742 dn_loss_iou: 0.2215 d0.dn_loss_cls: 0.1731 d0.dn_loss_bbox: 0.3304 d0.dn_loss_iou: 0.3741 d1.dn_loss_cls: 0.1112 d1.dn_loss_bbox: 0.2138 d1.dn_loss_iou: 0.2569 d2.dn_loss_cls: 0.0981 d2.dn_loss_bbox: 0.1809 d2.dn_loss_iou: 0.2291 d3.dn_loss_cls: 0.0863 d3.dn_loss_bbox: 0.1760 d3.dn_loss_iou: 0.2226 d4.dn_loss_cls: 0.0843 d4.dn_loss_bbox: 0.1740 d4.dn_loss_iou: 0.2214 d1.loss_lmm_region: 0.1448 loss_lmm_image: 0.7827 +2024/11/08 10:12:27 - mmengine - INFO - Iter(train) [ 99700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:35:40 time: 1.0140 data_time: 0.0182 memory: 22929 grad_norm: 21.0804 loss: 9.6501 loss_cls: 0.3137 loss_bbox: 0.1429 loss_iou: 0.2668 d0.loss_cls: 0.3408 d0.loss_bbox: 0.1642 d0.loss_iou: 0.2901 d1.loss_cls: 0.3228 d1.loss_bbox: 0.1518 d1.loss_iou: 0.2785 d2.loss_cls: 0.3180 d2.loss_bbox: 0.1441 d2.loss_iou: 0.2697 d3.loss_cls: 0.3138 d3.loss_bbox: 0.1442 d3.loss_iou: 0.2670 d4.loss_cls: 0.3129 d4.loss_bbox: 0.1431 d4.loss_iou: 0.2674 enc_loss_cls: 0.3659 enc_loss_bbox: 0.1722 enc_loss_iou: 0.3090 dn_loss_cls: 0.0814 dn_loss_bbox: 0.1696 dn_loss_iou: 0.2295 d0.dn_loss_cls: 0.1744 d0.dn_loss_bbox: 0.3217 d0.dn_loss_iou: 0.3753 d1.dn_loss_cls: 0.1142 d1.dn_loss_bbox: 0.2038 d1.dn_loss_iou: 0.2647 d2.dn_loss_cls: 0.0978 d2.dn_loss_bbox: 0.1776 d2.dn_loss_iou: 0.2382 d3.dn_loss_cls: 0.0865 d3.dn_loss_bbox: 0.1697 d3.dn_loss_iou: 0.2307 d4.dn_loss_cls: 0.0819 d4.dn_loss_bbox: 0.1695 d4.dn_loss_iou: 0.2294 d1.loss_lmm_region: 0.1297 loss_lmm_image: 0.8056 +2024/11/08 10:14:09 - mmengine - INFO - Iter(train) [ 99800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:33:54 time: 1.0185 data_time: 0.0185 memory: 23441 grad_norm: 23.3802 loss: 9.8905 loss_cls: 0.3050 loss_bbox: 0.1584 loss_iou: 0.2873 d0.loss_cls: 0.3423 d0.loss_bbox: 0.1785 d0.loss_iou: 0.3110 d1.loss_cls: 0.3186 d1.loss_bbox: 0.1704 d1.loss_iou: 0.2990 d2.loss_cls: 0.3175 d2.loss_bbox: 0.1600 d2.loss_iou: 0.2877 d3.loss_cls: 0.3109 d3.loss_bbox: 0.1548 d3.loss_iou: 0.2876 d4.loss_cls: 0.3073 d4.loss_bbox: 0.1556 d4.loss_iou: 0.2889 enc_loss_cls: 0.3553 enc_loss_bbox: 0.1950 enc_loss_iou: 0.3342 dn_loss_cls: 0.0971 dn_loss_bbox: 0.1636 dn_loss_iou: 0.2231 d0.dn_loss_cls: 0.1832 d0.dn_loss_bbox: 0.3142 d0.dn_loss_iou: 0.3732 d1.dn_loss_cls: 0.1301 d1.dn_loss_bbox: 0.1962 d1.dn_loss_iou: 0.2582 d2.dn_loss_cls: 0.1124 d2.dn_loss_bbox: 0.1729 d2.dn_loss_iou: 0.2331 d3.dn_loss_cls: 0.1005 d3.dn_loss_bbox: 0.1656 d3.dn_loss_iou: 0.2245 d4.dn_loss_cls: 0.0977 d4.dn_loss_bbox: 0.1636 d4.dn_loss_iou: 0.2230 d1.loss_lmm_region: 0.1350 loss_lmm_image: 0.7983 +2024/11/08 10:15:52 - mmengine - INFO - Iter(train) [ 99900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:32:09 time: 1.0246 data_time: 0.0183 memory: 23479 grad_norm: 33.3285 loss: 10.0006 loss_cls: 0.3090 loss_bbox: 0.1602 loss_iou: 0.3211 d0.loss_cls: 0.3459 d0.loss_bbox: 0.1768 d0.loss_iou: 0.3495 d1.loss_cls: 0.3214 d1.loss_bbox: 0.1689 d1.loss_iou: 0.3368 d2.loss_cls: 0.3184 d2.loss_bbox: 0.1597 d2.loss_iou: 0.3255 d3.loss_cls: 0.3135 d3.loss_bbox: 0.1586 d3.loss_iou: 0.3213 d4.loss_cls: 0.3087 d4.loss_bbox: 0.1595 d4.loss_iou: 0.3210 enc_loss_cls: 0.3554 enc_loss_bbox: 0.1914 enc_loss_iou: 0.3699 dn_loss_cls: 0.0853 dn_loss_bbox: 0.1423 dn_loss_iou: 0.2380 d0.dn_loss_cls: 0.1789 d0.dn_loss_bbox: 0.2771 d0.dn_loss_iou: 0.3857 d1.dn_loss_cls: 0.1237 d1.dn_loss_bbox: 0.1718 d1.dn_loss_iou: 0.2714 d2.dn_loss_cls: 0.1063 d2.dn_loss_bbox: 0.1508 d2.dn_loss_iou: 0.2463 d3.dn_loss_cls: 0.0946 d3.dn_loss_bbox: 0.1437 d3.dn_loss_iou: 0.2390 d4.dn_loss_cls: 0.0876 d4.dn_loss_bbox: 0.1424 d4.dn_loss_iou: 0.2380 d1.loss_lmm_region: 0.1342 loss_lmm_image: 0.7508 +2024/11/08 10:17:34 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/08 10:17:34 - mmengine - INFO - Iter(train) [100000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:30:23 time: 1.0178 data_time: 0.0182 memory: 23996 grad_norm: 24.9143 loss: 10.3647 loss_cls: 0.3365 loss_bbox: 0.1644 loss_iou: 0.2888 d0.loss_cls: 0.3722 d0.loss_bbox: 0.1796 d0.loss_iou: 0.3041 d1.loss_cls: 0.3605 d1.loss_bbox: 0.1714 d1.loss_iou: 0.2959 d2.loss_cls: 0.3505 d2.loss_bbox: 0.1646 d2.loss_iou: 0.2878 d3.loss_cls: 0.3403 d3.loss_bbox: 0.1648 d3.loss_iou: 0.2890 d4.loss_cls: 0.3370 d4.loss_bbox: 0.1647 d4.loss_iou: 0.2893 enc_loss_cls: 0.3889 enc_loss_bbox: 0.1950 enc_loss_iou: 0.3202 dn_loss_cls: 0.0885 dn_loss_bbox: 0.1870 dn_loss_iou: 0.2296 d0.dn_loss_cls: 0.1887 d0.dn_loss_bbox: 0.3739 d0.dn_loss_iou: 0.3930 d1.dn_loss_cls: 0.1280 d1.dn_loss_bbox: 0.2308 d1.dn_loss_iou: 0.2683 d2.dn_loss_cls: 0.1072 d2.dn_loss_bbox: 0.1952 d2.dn_loss_iou: 0.2384 d3.dn_loss_cls: 0.0923 d3.dn_loss_bbox: 0.1880 d3.dn_loss_iou: 0.2312 d4.dn_loss_cls: 0.0887 d4.dn_loss_bbox: 0.1871 d4.dn_loss_iou: 0.2298 d1.loss_lmm_region: 0.1365 loss_lmm_image: 0.8167 +2024/11/08 10:19:15 - mmengine - INFO - Iter(train) [100100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:28:37 time: 1.0102 data_time: 0.0184 memory: 24006 grad_norm: 24.5126 loss: 9.1028 loss_cls: 0.2815 loss_bbox: 0.1402 loss_iou: 0.2647 d0.loss_cls: 0.3180 d0.loss_bbox: 0.1575 d0.loss_iou: 0.2826 d1.loss_cls: 0.2971 d1.loss_bbox: 0.1431 d1.loss_iou: 0.2716 d2.loss_cls: 0.2925 d2.loss_bbox: 0.1366 d2.loss_iou: 0.2626 d3.loss_cls: 0.2882 d3.loss_bbox: 0.1381 d3.loss_iou: 0.2635 d4.loss_cls: 0.2832 d4.loss_bbox: 0.1389 d4.loss_iou: 0.2638 enc_loss_cls: 0.3401 enc_loss_bbox: 0.1714 enc_loss_iou: 0.3024 dn_loss_cls: 0.0685 dn_loss_bbox: 0.1495 dn_loss_iou: 0.2159 d0.dn_loss_cls: 0.1594 d0.dn_loss_bbox: 0.2979 d0.dn_loss_iou: 0.3598 d1.dn_loss_cls: 0.1024 d1.dn_loss_bbox: 0.1891 d1.dn_loss_iou: 0.2500 d2.dn_loss_cls: 0.0842 d2.dn_loss_bbox: 0.1612 d2.dn_loss_iou: 0.2258 d3.dn_loss_cls: 0.0728 d3.dn_loss_bbox: 0.1516 d3.dn_loss_iou: 0.2176 d4.dn_loss_cls: 0.0696 d4.dn_loss_bbox: 0.1494 d4.dn_loss_iou: 0.2159 d1.loss_lmm_region: 0.1199 loss_lmm_image: 0.8047 +2024/11/08 10:20:58 - mmengine - INFO - Iter(train) [100200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:26:52 time: 1.0287 data_time: 0.0183 memory: 24532 grad_norm: 23.0731 loss: 7.7312 loss_cls: 0.2355 loss_bbox: 0.1073 loss_iou: 0.1902 d0.loss_cls: 0.2692 d0.loss_bbox: 0.1173 d0.loss_iou: 0.2025 d1.loss_cls: 0.2570 d1.loss_bbox: 0.1068 d1.loss_iou: 0.1923 d2.loss_cls: 0.2495 d2.loss_bbox: 0.1034 d2.loss_iou: 0.1882 d3.loss_cls: 0.2457 d3.loss_bbox: 0.1026 d3.loss_iou: 0.1864 d4.loss_cls: 0.2381 d4.loss_bbox: 0.1060 d4.loss_iou: 0.1897 enc_loss_cls: 0.2864 enc_loss_bbox: 0.1314 enc_loss_iou: 0.2290 dn_loss_cls: 0.0630 dn_loss_bbox: 0.1432 dn_loss_iou: 0.1955 d0.dn_loss_cls: 0.1472 d0.dn_loss_bbox: 0.2910 d0.dn_loss_iou: 0.3501 d1.dn_loss_cls: 0.0935 d1.dn_loss_bbox: 0.1683 d1.dn_loss_iou: 0.2276 d2.dn_loss_cls: 0.0777 d2.dn_loss_bbox: 0.1490 d2.dn_loss_iou: 0.2030 d3.dn_loss_cls: 0.0670 d3.dn_loss_bbox: 0.1432 d3.dn_loss_iou: 0.1960 d4.dn_loss_cls: 0.0632 d4.dn_loss_bbox: 0.1432 d4.dn_loss_iou: 0.1956 d1.loss_lmm_region: 0.1039 loss_lmm_image: 0.7758 +2024/11/08 10:22:40 - mmengine - INFO - Iter(train) [100300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:25:06 time: 1.0196 data_time: 0.0185 memory: 23718 grad_norm: 21.3385 loss: 8.9872 loss_cls: 0.2693 loss_bbox: 0.1315 loss_iou: 0.2513 d0.loss_cls: 0.3026 d0.loss_bbox: 0.1385 d0.loss_iou: 0.2624 d1.loss_cls: 0.2862 d1.loss_bbox: 0.1331 d1.loss_iou: 0.2549 d2.loss_cls: 0.2838 d2.loss_bbox: 0.1279 d2.loss_iou: 0.2464 d3.loss_cls: 0.2764 d3.loss_bbox: 0.1290 d3.loss_iou: 0.2488 d4.loss_cls: 0.2721 d4.loss_bbox: 0.1296 d4.loss_iou: 0.2493 enc_loss_cls: 0.3205 enc_loss_bbox: 0.1526 enc_loss_iou: 0.2883 dn_loss_cls: 0.0891 dn_loss_bbox: 0.1584 dn_loss_iou: 0.2228 d0.dn_loss_cls: 0.1685 d0.dn_loss_bbox: 0.3236 d0.dn_loss_iou: 0.3781 d1.dn_loss_cls: 0.1202 d1.dn_loss_bbox: 0.1982 d1.dn_loss_iou: 0.2597 d2.dn_loss_cls: 0.1007 d2.dn_loss_bbox: 0.1704 d2.dn_loss_iou: 0.2344 d3.dn_loss_cls: 0.0938 d3.dn_loss_bbox: 0.1606 d3.dn_loss_iou: 0.2244 d4.dn_loss_cls: 0.0891 d4.dn_loss_bbox: 0.1584 d4.dn_loss_iou: 0.2227 d1.loss_lmm_region: 0.1203 loss_lmm_image: 0.7393 +2024/11/08 10:24:22 - mmengine - INFO - Iter(train) [100400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:23:21 time: 1.0215 data_time: 0.0182 memory: 23927 grad_norm: 21.3057 loss: 9.0757 loss_cls: 0.2832 loss_bbox: 0.1398 loss_iou: 0.2625 d0.loss_cls: 0.3118 d0.loss_bbox: 0.1583 d0.loss_iou: 0.2850 d1.loss_cls: 0.2964 d1.loss_bbox: 0.1487 d1.loss_iou: 0.2736 d2.loss_cls: 0.2907 d2.loss_bbox: 0.1410 d2.loss_iou: 0.2632 d3.loss_cls: 0.2872 d3.loss_bbox: 0.1384 d3.loss_iou: 0.2625 d4.loss_cls: 0.2842 d4.loss_bbox: 0.1392 d4.loss_iou: 0.2617 enc_loss_cls: 0.3333 enc_loss_bbox: 0.1698 enc_loss_iou: 0.3047 dn_loss_cls: 0.0734 dn_loss_bbox: 0.1621 dn_loss_iou: 0.2199 d0.dn_loss_cls: 0.1520 d0.dn_loss_bbox: 0.3035 d0.dn_loss_iou: 0.3731 d1.dn_loss_cls: 0.1024 d1.dn_loss_bbox: 0.1947 d1.dn_loss_iou: 0.2530 d2.dn_loss_cls: 0.0856 d2.dn_loss_bbox: 0.1713 d2.dn_loss_iou: 0.2295 d3.dn_loss_cls: 0.0774 d3.dn_loss_bbox: 0.1630 d3.dn_loss_iou: 0.2211 d4.dn_loss_cls: 0.0740 d4.dn_loss_bbox: 0.1621 d4.dn_loss_iou: 0.2200 d1.loss_lmm_region: 0.0965 loss_lmm_image: 0.7058 +2024/11/08 10:26:05 - mmengine - INFO - Iter(train) [100500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:21:35 time: 1.0276 data_time: 0.0184 memory: 23756 grad_norm: 28.9281 loss: 10.1420 loss_cls: 0.3147 loss_bbox: 0.1559 loss_iou: 0.2997 d0.loss_cls: 0.3472 d0.loss_bbox: 0.1705 d0.loss_iou: 0.3272 d1.loss_cls: 0.3338 d1.loss_bbox: 0.1608 d1.loss_iou: 0.3068 d2.loss_cls: 0.3259 d2.loss_bbox: 0.1552 d2.loss_iou: 0.2993 d3.loss_cls: 0.3177 d3.loss_bbox: 0.1530 d3.loss_iou: 0.2972 d4.loss_cls: 0.3144 d4.loss_bbox: 0.1555 d4.loss_iou: 0.2979 enc_loss_cls: 0.3726 enc_loss_bbox: 0.1844 enc_loss_iou: 0.3372 dn_loss_cls: 0.0843 dn_loss_bbox: 0.1664 dn_loss_iou: 0.2481 d0.dn_loss_cls: 0.1772 d0.dn_loss_bbox: 0.3279 d0.dn_loss_iou: 0.4126 d1.dn_loss_cls: 0.1185 d1.dn_loss_bbox: 0.2020 d1.dn_loss_iou: 0.2850 d2.dn_loss_cls: 0.0976 d2.dn_loss_bbox: 0.1760 d2.dn_loss_iou: 0.2577 d3.dn_loss_cls: 0.0893 d3.dn_loss_bbox: 0.1678 d3.dn_loss_iou: 0.2494 d4.dn_loss_cls: 0.0842 d4.dn_loss_bbox: 0.1664 d4.dn_loss_iou: 0.2478 d1.loss_lmm_region: 0.1433 loss_lmm_image: 0.8139 +2024/11/08 10:27:47 - mmengine - INFO - Iter(train) [100600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:19:50 time: 1.0221 data_time: 0.0182 memory: 23740 grad_norm: 23.6533 loss: 9.2786 loss_cls: 0.2781 loss_bbox: 0.1414 loss_iou: 0.2464 d0.loss_cls: 0.3082 d0.loss_bbox: 0.1598 d0.loss_iou: 0.2729 d1.loss_cls: 0.2934 d1.loss_bbox: 0.1479 d1.loss_iou: 0.2558 d2.loss_cls: 0.2880 d2.loss_bbox: 0.1420 d2.loss_iou: 0.2494 d3.loss_cls: 0.2820 d3.loss_bbox: 0.1384 d3.loss_iou: 0.2457 d4.loss_cls: 0.2794 d4.loss_bbox: 0.1400 d4.loss_iou: 0.2467 enc_loss_cls: 0.3286 enc_loss_bbox: 0.1733 enc_loss_iou: 0.2950 dn_loss_cls: 0.0795 dn_loss_bbox: 0.1763 dn_loss_iou: 0.2277 d0.dn_loss_cls: 0.1621 d0.dn_loss_bbox: 0.3429 d0.dn_loss_iou: 0.3845 d1.dn_loss_cls: 0.1111 d1.dn_loss_bbox: 0.2228 d1.dn_loss_iou: 0.2687 d2.dn_loss_cls: 0.0954 d2.dn_loss_bbox: 0.1867 d2.dn_loss_iou: 0.2371 d3.dn_loss_cls: 0.0853 d3.dn_loss_bbox: 0.1792 d3.dn_loss_iou: 0.2295 d4.dn_loss_cls: 0.0799 d4.dn_loss_bbox: 0.1763 d4.dn_loss_iou: 0.2277 d1.loss_lmm_region: 0.1163 loss_lmm_image: 0.7774 +2024/11/08 10:29:29 - mmengine - INFO - Iter(train) [100700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:18:04 time: 1.0331 data_time: 0.0183 memory: 23507 grad_norm: 21.7240 loss: 9.1871 loss_cls: 0.3004 loss_bbox: 0.1353 loss_iou: 0.2634 d0.loss_cls: 0.3282 d0.loss_bbox: 0.1529 d0.loss_iou: 0.2896 d1.loss_cls: 0.3143 d1.loss_bbox: 0.1459 d1.loss_iou: 0.2767 d2.loss_cls: 0.3096 d2.loss_bbox: 0.1351 d2.loss_iou: 0.2662 d3.loss_cls: 0.3047 d3.loss_bbox: 0.1333 d3.loss_iou: 0.2660 d4.loss_cls: 0.2997 d4.loss_bbox: 0.1352 d4.loss_iou: 0.2643 enc_loss_cls: 0.3550 enc_loss_bbox: 0.1626 enc_loss_iou: 0.3095 dn_loss_cls: 0.0748 dn_loss_bbox: 0.1508 dn_loss_iou: 0.2107 d0.dn_loss_cls: 0.1591 d0.dn_loss_bbox: 0.2944 d0.dn_loss_iou: 0.3533 d1.dn_loss_cls: 0.1038 d1.dn_loss_bbox: 0.1849 d1.dn_loss_iou: 0.2449 d2.dn_loss_cls: 0.0881 d2.dn_loss_bbox: 0.1581 d2.dn_loss_iou: 0.2186 d3.dn_loss_cls: 0.0795 d3.dn_loss_bbox: 0.1523 d3.dn_loss_iou: 0.2118 d4.dn_loss_cls: 0.0752 d4.dn_loss_bbox: 0.1508 d4.dn_loss_iou: 0.2107 d1.loss_lmm_region: 0.1225 loss_lmm_image: 0.7947 +2024/11/08 10:31:12 - mmengine - INFO - Iter(train) [100800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:16:19 time: 1.0209 data_time: 0.0183 memory: 23077 grad_norm: 24.5830 loss: 8.8487 loss_cls: 0.2865 loss_bbox: 0.1313 loss_iou: 0.2575 d0.loss_cls: 0.3089 d0.loss_bbox: 0.1460 d0.loss_iou: 0.2795 d1.loss_cls: 0.2986 d1.loss_bbox: 0.1336 d1.loss_iou: 0.2647 d2.loss_cls: 0.2912 d2.loss_bbox: 0.1334 d2.loss_iou: 0.2596 d3.loss_cls: 0.2915 d3.loss_bbox: 0.1312 d3.loss_iou: 0.2559 d4.loss_cls: 0.2848 d4.loss_bbox: 0.1332 d4.loss_iou: 0.2582 enc_loss_cls: 0.3239 enc_loss_bbox: 0.1559 enc_loss_iou: 0.2980 dn_loss_cls: 0.0685 dn_loss_bbox: 0.1466 dn_loss_iou: 0.2049 d0.dn_loss_cls: 0.1497 d0.dn_loss_bbox: 0.2795 d0.dn_loss_iou: 0.3429 d1.dn_loss_cls: 0.1005 d1.dn_loss_bbox: 0.1767 d1.dn_loss_iou: 0.2358 d2.dn_loss_cls: 0.0844 d2.dn_loss_bbox: 0.1535 d2.dn_loss_iou: 0.2135 d3.dn_loss_cls: 0.0740 d3.dn_loss_bbox: 0.1481 d3.dn_loss_iou: 0.2064 d4.dn_loss_cls: 0.0692 d4.dn_loss_bbox: 0.1464 d4.dn_loss_iou: 0.2046 d1.loss_lmm_region: 0.1269 loss_lmm_image: 0.7933 +2024/11/08 10:32:55 - mmengine - INFO - Iter(train) [100900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:14:34 time: 1.0370 data_time: 0.0181 memory: 24462 grad_norm: 21.2236 loss: 10.2758 loss_cls: 0.3338 loss_bbox: 0.1493 loss_iou: 0.3213 d0.loss_cls: 0.3805 d0.loss_bbox: 0.1652 d0.loss_iou: 0.3398 d1.loss_cls: 0.3631 d1.loss_bbox: 0.1511 d1.loss_iou: 0.3284 d2.loss_cls: 0.3502 d2.loss_bbox: 0.1480 d2.loss_iou: 0.3225 d3.loss_cls: 0.3437 d3.loss_bbox: 0.1477 d3.loss_iou: 0.3197 d4.loss_cls: 0.3364 d4.loss_bbox: 0.1486 d4.loss_iou: 0.3210 enc_loss_cls: 0.3955 enc_loss_bbox: 0.1815 enc_loss_iou: 0.3637 dn_loss_cls: 0.0905 dn_loss_bbox: 0.1544 dn_loss_iou: 0.2450 d0.dn_loss_cls: 0.1794 d0.dn_loss_bbox: 0.3133 d0.dn_loss_iou: 0.4084 d1.dn_loss_cls: 0.1247 d1.dn_loss_bbox: 0.1929 d1.dn_loss_iou: 0.2830 d2.dn_loss_cls: 0.1069 d2.dn_loss_bbox: 0.1652 d2.dn_loss_iou: 0.2560 d3.dn_loss_cls: 0.0956 d3.dn_loss_bbox: 0.1560 d3.dn_loss_iou: 0.2466 d4.dn_loss_cls: 0.0910 d4.dn_loss_bbox: 0.1544 d4.dn_loss_iou: 0.2450 d1.loss_lmm_region: 0.1116 loss_lmm_image: 0.7447 +2024/11/08 10:34:37 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/08 10:34:37 - mmengine - INFO - Iter(train) [101000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:12:48 time: 1.0250 data_time: 0.0183 memory: 24375 grad_norm: 21.7466 loss: 9.6681 loss_cls: 0.3426 loss_bbox: 0.1477 loss_iou: 0.2731 d0.loss_cls: 0.3732 d0.loss_bbox: 0.1608 d0.loss_iou: 0.3008 d1.loss_cls: 0.3613 d1.loss_bbox: 0.1484 d1.loss_iou: 0.2800 d2.loss_cls: 0.3463 d2.loss_bbox: 0.1465 d2.loss_iou: 0.2749 d3.loss_cls: 0.3405 d3.loss_bbox: 0.1465 d3.loss_iou: 0.2736 d4.loss_cls: 0.3416 d4.loss_bbox: 0.1481 d4.loss_iou: 0.2738 enc_loss_cls: 0.3992 enc_loss_bbox: 0.1751 enc_loss_iou: 0.3290 dn_loss_cls: 0.0836 dn_loss_bbox: 0.1452 dn_loss_iou: 0.2006 d0.dn_loss_cls: 0.1740 d0.dn_loss_bbox: 0.3100 d0.dn_loss_iou: 0.3614 d1.dn_loss_cls: 0.1244 d1.dn_loss_bbox: 0.1809 d1.dn_loss_iou: 0.2366 d2.dn_loss_cls: 0.1072 d2.dn_loss_bbox: 0.1556 d2.dn_loss_iou: 0.2097 d3.dn_loss_cls: 0.0934 d3.dn_loss_bbox: 0.1476 d3.dn_loss_iou: 0.2022 d4.dn_loss_cls: 0.0844 d4.dn_loss_bbox: 0.1453 d4.dn_loss_iou: 0.2007 d1.loss_lmm_region: 0.1299 loss_lmm_image: 0.7926 +2024/11/08 10:36:19 - mmengine - INFO - Iter(train) [101100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:11:03 time: 1.0162 data_time: 0.0184 memory: 23899 grad_norm: 23.9980 loss: 9.3689 loss_cls: 0.3112 loss_bbox: 0.1337 loss_iou: 0.2667 d0.loss_cls: 0.3518 d0.loss_bbox: 0.1407 d0.loss_iou: 0.2812 d1.loss_cls: 0.3338 d1.loss_bbox: 0.1348 d1.loss_iou: 0.2716 d2.loss_cls: 0.3223 d2.loss_bbox: 0.1338 d2.loss_iou: 0.2686 d3.loss_cls: 0.3153 d3.loss_bbox: 0.1338 d3.loss_iou: 0.2672 d4.loss_cls: 0.3133 d4.loss_bbox: 0.1331 d4.loss_iou: 0.2662 enc_loss_cls: 0.3686 enc_loss_bbox: 0.1573 enc_loss_iou: 0.3097 dn_loss_cls: 0.0929 dn_loss_bbox: 0.1497 dn_loss_iou: 0.2143 d0.dn_loss_cls: 0.1630 d0.dn_loss_bbox: 0.2767 d0.dn_loss_iou: 0.3507 d1.dn_loss_cls: 0.1165 d1.dn_loss_bbox: 0.1837 d1.dn_loss_iou: 0.2469 d2.dn_loss_cls: 0.1035 d2.dn_loss_bbox: 0.1584 d2.dn_loss_iou: 0.2217 d3.dn_loss_cls: 0.0988 d3.dn_loss_bbox: 0.1509 d3.dn_loss_iou: 0.2155 d4.dn_loss_cls: 0.0948 d4.dn_loss_bbox: 0.1496 d4.dn_loss_iou: 0.2142 d1.loss_lmm_region: 0.1059 loss_lmm_image: 0.8465 +2024/11/08 10:38:01 - mmengine - INFO - Iter(train) [101200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:09:17 time: 1.0160 data_time: 0.0184 memory: 23870 grad_norm: 22.9647 loss: 9.0264 loss_cls: 0.2748 loss_bbox: 0.1362 loss_iou: 0.2284 d0.loss_cls: 0.3086 d0.loss_bbox: 0.1453 d0.loss_iou: 0.2440 d1.loss_cls: 0.2963 d1.loss_bbox: 0.1381 d1.loss_iou: 0.2332 d2.loss_cls: 0.2894 d2.loss_bbox: 0.1361 d2.loss_iou: 0.2280 d3.loss_cls: 0.2784 d3.loss_bbox: 0.1370 d3.loss_iou: 0.2272 d4.loss_cls: 0.2732 d4.loss_bbox: 0.1364 d4.loss_iou: 0.2298 enc_loss_cls: 0.3207 enc_loss_bbox: 0.1621 enc_loss_iou: 0.2636 dn_loss_cls: 0.0734 dn_loss_bbox: 0.1790 dn_loss_iou: 0.2247 d0.dn_loss_cls: 0.1794 d0.dn_loss_bbox: 0.3286 d0.dn_loss_iou: 0.3771 d1.dn_loss_cls: 0.1160 d1.dn_loss_bbox: 0.2135 d1.dn_loss_iou: 0.2582 d2.dn_loss_cls: 0.0918 d2.dn_loss_bbox: 0.1895 d2.dn_loss_iou: 0.2342 d3.dn_loss_cls: 0.0781 d3.dn_loss_bbox: 0.1803 d3.dn_loss_iou: 0.2261 d4.dn_loss_cls: 0.0735 d4.dn_loss_bbox: 0.1791 d4.dn_loss_iou: 0.2248 d1.loss_lmm_region: 0.1350 loss_lmm_image: 0.7775 +2024/11/08 10:39:43 - mmengine - INFO - Iter(train) [101300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:07:32 time: 1.0181 data_time: 0.0183 memory: 23326 grad_norm: 25.9612 loss: 10.4440 loss_cls: 0.2897 loss_bbox: 0.1741 loss_iou: 0.3174 d0.loss_cls: 0.3241 d0.loss_bbox: 0.1884 d0.loss_iou: 0.3305 d1.loss_cls: 0.3049 d1.loss_bbox: 0.1759 d1.loss_iou: 0.3227 d2.loss_cls: 0.3021 d2.loss_bbox: 0.1720 d2.loss_iou: 0.3189 d3.loss_cls: 0.2987 d3.loss_bbox: 0.1711 d3.loss_iou: 0.3164 d4.loss_cls: 0.2923 d4.loss_bbox: 0.1721 d4.loss_iou: 0.3173 enc_loss_cls: 0.3443 enc_loss_bbox: 0.1971 enc_loss_iou: 0.3496 dn_loss_cls: 0.0955 dn_loss_bbox: 0.1932 dn_loss_iou: 0.2649 d0.dn_loss_cls: 0.1818 d0.dn_loss_bbox: 0.3581 d0.dn_loss_iou: 0.4220 d1.dn_loss_cls: 0.1240 d1.dn_loss_bbox: 0.2310 d1.dn_loss_iou: 0.2987 d2.dn_loss_cls: 0.1079 d2.dn_loss_bbox: 0.2042 d2.dn_loss_iou: 0.2741 d3.dn_loss_cls: 0.1013 d3.dn_loss_bbox: 0.1952 d3.dn_loss_iou: 0.2663 d4.dn_loss_cls: 0.0957 d4.dn_loss_bbox: 0.1931 d4.dn_loss_iou: 0.2647 d1.loss_lmm_region: 0.1436 loss_lmm_image: 0.7488 +2024/11/08 10:41:26 - mmengine - INFO - Iter(train) [101400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:05:47 time: 1.0295 data_time: 0.0181 memory: 23564 grad_norm: 22.8914 loss: 9.8632 loss_cls: 0.3214 loss_bbox: 0.1585 loss_iou: 0.2998 d0.loss_cls: 0.3516 d0.loss_bbox: 0.1650 d0.loss_iou: 0.3122 d1.loss_cls: 0.3374 d1.loss_bbox: 0.1606 d1.loss_iou: 0.3047 d2.loss_cls: 0.3308 d2.loss_bbox: 0.1563 d2.loss_iou: 0.2981 d3.loss_cls: 0.3262 d3.loss_bbox: 0.1555 d3.loss_iou: 0.2985 d4.loss_cls: 0.3216 d4.loss_bbox: 0.1567 d4.loss_iou: 0.2991 enc_loss_cls: 0.3726 enc_loss_bbox: 0.1810 enc_loss_iou: 0.3380 dn_loss_cls: 0.0738 dn_loss_bbox: 0.1702 dn_loss_iou: 0.2214 d0.dn_loss_cls: 0.1554 d0.dn_loss_bbox: 0.3097 d0.dn_loss_iou: 0.3627 d1.dn_loss_cls: 0.1009 d1.dn_loss_bbox: 0.1972 d1.dn_loss_iou: 0.2526 d2.dn_loss_cls: 0.0841 d2.dn_loss_bbox: 0.1759 d2.dn_loss_iou: 0.2288 d3.dn_loss_cls: 0.0787 d3.dn_loss_bbox: 0.1708 d3.dn_loss_iou: 0.2220 d4.dn_loss_cls: 0.0745 d4.dn_loss_bbox: 0.1702 d4.dn_loss_iou: 0.2213 d1.loss_lmm_region: 0.1314 loss_lmm_image: 0.8159 +2024/11/08 10:43:08 - mmengine - INFO - Iter(train) [101500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:04:01 time: 1.0144 data_time: 0.0183 memory: 23627 grad_norm: 21.5092 loss: 10.4137 loss_cls: 0.3303 loss_bbox: 0.1683 loss_iou: 0.3284 d0.loss_cls: 0.3769 d0.loss_bbox: 0.1786 d0.loss_iou: 0.3442 d1.loss_cls: 0.3535 d1.loss_bbox: 0.1659 d1.loss_iou: 0.3326 d2.loss_cls: 0.3421 d2.loss_bbox: 0.1653 d2.loss_iou: 0.3262 d3.loss_cls: 0.3418 d3.loss_bbox: 0.1605 d3.loss_iou: 0.3228 d4.loss_cls: 0.3370 d4.loss_bbox: 0.1635 d4.loss_iou: 0.3244 enc_loss_cls: 0.3947 enc_loss_bbox: 0.1847 enc_loss_iou: 0.3651 dn_loss_cls: 0.0911 dn_loss_bbox: 0.1702 dn_loss_iou: 0.2433 d0.dn_loss_cls: 0.1770 d0.dn_loss_bbox: 0.2929 d0.dn_loss_iou: 0.3797 d1.dn_loss_cls: 0.1212 d1.dn_loss_bbox: 0.1954 d1.dn_loss_iou: 0.2722 d2.dn_loss_cls: 0.1040 d2.dn_loss_bbox: 0.1758 d2.dn_loss_iou: 0.2505 d3.dn_loss_cls: 0.0956 d3.dn_loss_bbox: 0.1710 d3.dn_loss_iou: 0.2449 d4.dn_loss_cls: 0.0916 d4.dn_loss_bbox: 0.1700 d4.dn_loss_iou: 0.2432 d1.loss_lmm_region: 0.1378 loss_lmm_image: 0.7796 +2024/11/08 10:44:52 - mmengine - INFO - Iter(train) [101600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:02:16 time: 1.0424 data_time: 0.0182 memory: 24286 grad_norm: 24.3628 loss: 9.4299 loss_cls: 0.2789 loss_bbox: 0.1527 loss_iou: 0.2752 d0.loss_cls: 0.3179 d0.loss_bbox: 0.1596 d0.loss_iou: 0.2904 d1.loss_cls: 0.2964 d1.loss_bbox: 0.1538 d1.loss_iou: 0.2865 d2.loss_cls: 0.2872 d2.loss_bbox: 0.1483 d2.loss_iou: 0.2772 d3.loss_cls: 0.2853 d3.loss_bbox: 0.1480 d3.loss_iou: 0.2749 d4.loss_cls: 0.2812 d4.loss_bbox: 0.1471 d4.loss_iou: 0.2757 enc_loss_cls: 0.3396 enc_loss_bbox: 0.1735 enc_loss_iou: 0.3140 dn_loss_cls: 0.0771 dn_loss_bbox: 0.1689 dn_loss_iou: 0.2210 d0.dn_loss_cls: 0.1649 d0.dn_loss_bbox: 0.3197 d0.dn_loss_iou: 0.3683 d1.dn_loss_cls: 0.1062 d1.dn_loss_bbox: 0.2015 d1.dn_loss_iou: 0.2523 d2.dn_loss_cls: 0.0912 d2.dn_loss_bbox: 0.1787 d2.dn_loss_iou: 0.2296 d3.dn_loss_cls: 0.0819 d3.dn_loss_bbox: 0.1699 d3.dn_loss_iou: 0.2224 d4.dn_loss_cls: 0.0787 d4.dn_loss_bbox: 0.1690 d4.dn_loss_iou: 0.2211 d1.loss_lmm_region: 0.1514 loss_lmm_image: 0.7929 +2024/11/08 10:46:34 - mmengine - INFO - Iter(train) [101700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:00:31 time: 1.0348 data_time: 0.0184 memory: 23902 grad_norm: 21.6496 loss: 8.6325 loss_cls: 0.2547 loss_bbox: 0.1272 loss_iou: 0.2762 d0.loss_cls: 0.2880 d0.loss_bbox: 0.1410 d0.loss_iou: 0.2907 d1.loss_cls: 0.2668 d1.loss_bbox: 0.1344 d1.loss_iou: 0.2832 d2.loss_cls: 0.2605 d2.loss_bbox: 0.1307 d2.loss_iou: 0.2795 d3.loss_cls: 0.2597 d3.loss_bbox: 0.1287 d3.loss_iou: 0.2758 d4.loss_cls: 0.2534 d4.loss_bbox: 0.1280 d4.loss_iou: 0.2766 enc_loss_cls: 0.3054 enc_loss_bbox: 0.1543 enc_loss_iou: 0.3113 dn_loss_cls: 0.0686 dn_loss_bbox: 0.1370 dn_loss_iou: 0.2045 d0.dn_loss_cls: 0.1471 d0.dn_loss_bbox: 0.2781 d0.dn_loss_iou: 0.3507 d1.dn_loss_cls: 0.0953 d1.dn_loss_bbox: 0.1612 d1.dn_loss_iou: 0.2322 d2.dn_loss_cls: 0.0816 d2.dn_loss_bbox: 0.1432 d2.dn_loss_iou: 0.2114 d3.dn_loss_cls: 0.0712 d3.dn_loss_bbox: 0.1377 d3.dn_loss_iou: 0.2054 d4.dn_loss_cls: 0.0692 d4.dn_loss_bbox: 0.1371 d4.dn_loss_iou: 0.2046 d1.loss_lmm_region: 0.1074 loss_lmm_image: 0.7634 +2024/11/08 10:48:16 - mmengine - INFO - Iter(train) [101800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:58:45 time: 1.0231 data_time: 0.0184 memory: 23486 grad_norm: 22.4235 loss: 8.5196 loss_cls: 0.2456 loss_bbox: 0.1376 loss_iou: 0.2215 d0.loss_cls: 0.2785 d0.loss_bbox: 0.1502 d0.loss_iou: 0.2365 d1.loss_cls: 0.2609 d1.loss_bbox: 0.1398 d1.loss_iou: 0.2271 d2.loss_cls: 0.2570 d2.loss_bbox: 0.1382 d2.loss_iou: 0.2212 d3.loss_cls: 0.2512 d3.loss_bbox: 0.1396 d3.loss_iou: 0.2244 d4.loss_cls: 0.2480 d4.loss_bbox: 0.1365 d4.loss_iou: 0.2212 enc_loss_cls: 0.2933 enc_loss_bbox: 0.1714 enc_loss_iou: 0.2598 dn_loss_cls: 0.0719 dn_loss_bbox: 0.1579 dn_loss_iou: 0.2075 d0.dn_loss_cls: 0.1578 d0.dn_loss_bbox: 0.2978 d0.dn_loss_iou: 0.3446 d1.dn_loss_cls: 0.1051 d1.dn_loss_bbox: 0.1864 d1.dn_loss_iou: 0.2389 d2.dn_loss_cls: 0.0879 d2.dn_loss_bbox: 0.1667 d2.dn_loss_iou: 0.2163 d3.dn_loss_cls: 0.0771 d3.dn_loss_bbox: 0.1590 d3.dn_loss_iou: 0.2085 d4.dn_loss_cls: 0.0716 d4.dn_loss_bbox: 0.1580 d4.dn_loss_iou: 0.2075 d1.loss_lmm_region: 0.1200 loss_lmm_image: 0.8198 +2024/11/08 10:49:58 - mmengine - INFO - Iter(train) [101900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:57:00 time: 1.0224 data_time: 0.0183 memory: 23690 grad_norm: 23.2215 loss: 9.7049 loss_cls: 0.3010 loss_bbox: 0.1512 loss_iou: 0.2650 d0.loss_cls: 0.3406 d0.loss_bbox: 0.1620 d0.loss_iou: 0.2817 d1.loss_cls: 0.3262 d1.loss_bbox: 0.1492 d1.loss_iou: 0.2657 d2.loss_cls: 0.3142 d2.loss_bbox: 0.1483 d2.loss_iou: 0.2658 d3.loss_cls: 0.3069 d3.loss_bbox: 0.1491 d3.loss_iou: 0.2630 d4.loss_cls: 0.3021 d4.loss_bbox: 0.1508 d4.loss_iou: 0.2644 enc_loss_cls: 0.3613 enc_loss_bbox: 0.1786 enc_loss_iou: 0.3058 dn_loss_cls: 0.0946 dn_loss_bbox: 0.1834 dn_loss_iou: 0.2238 d0.dn_loss_cls: 0.1815 d0.dn_loss_bbox: 0.3437 d0.dn_loss_iou: 0.3808 d1.dn_loss_cls: 0.1294 d1.dn_loss_bbox: 0.2220 d1.dn_loss_iou: 0.2634 d2.dn_loss_cls: 0.1132 d2.dn_loss_bbox: 0.1947 d2.dn_loss_iou: 0.2350 d3.dn_loss_cls: 0.1010 d3.dn_loss_bbox: 0.1849 d3.dn_loss_iou: 0.2260 d4.dn_loss_cls: 0.0962 d4.dn_loss_bbox: 0.1833 d4.dn_loss_iou: 0.2237 d1.loss_lmm_region: 0.1425 loss_lmm_image: 0.7292 +2024/11/08 10:51:41 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/08 10:51:41 - mmengine - INFO - Iter(train) [102000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:55:14 time: 1.0145 data_time: 0.0184 memory: 23434 grad_norm: 21.5119 loss: 9.8808 loss_cls: 0.2886 loss_bbox: 0.1691 loss_iou: 0.2838 d0.loss_cls: 0.3299 d0.loss_bbox: 0.1714 d0.loss_iou: 0.2959 d1.loss_cls: 0.3119 d1.loss_bbox: 0.1653 d1.loss_iou: 0.2865 d2.loss_cls: 0.3024 d2.loss_bbox: 0.1639 d2.loss_iou: 0.2810 d3.loss_cls: 0.2917 d3.loss_bbox: 0.1689 d3.loss_iou: 0.2845 d4.loss_cls: 0.2905 d4.loss_bbox: 0.1675 d4.loss_iou: 0.2827 enc_loss_cls: 0.3479 enc_loss_bbox: 0.1801 enc_loss_iou: 0.3174 dn_loss_cls: 0.1067 dn_loss_bbox: 0.1828 dn_loss_iou: 0.2343 d0.dn_loss_cls: 0.1775 d0.dn_loss_bbox: 0.3394 d0.dn_loss_iou: 0.3919 d1.dn_loss_cls: 0.1268 d1.dn_loss_bbox: 0.2121 d1.dn_loss_iou: 0.2651 d2.dn_loss_cls: 0.1147 d2.dn_loss_bbox: 0.1907 d2.dn_loss_iou: 0.2417 d3.dn_loss_cls: 0.1095 d3.dn_loss_bbox: 0.1842 d3.dn_loss_iou: 0.2359 d4.dn_loss_cls: 0.1079 d4.dn_loss_bbox: 0.1829 d4.dn_loss_iou: 0.2345 d1.loss_lmm_region: 0.1339 loss_lmm_image: 0.7269 +2024/11/08 10:53:23 - mmengine - INFO - Iter(train) [102100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:53:29 time: 1.0311 data_time: 0.0182 memory: 23307 grad_norm: 22.4545 loss: 9.5269 loss_cls: 0.2805 loss_bbox: 0.1434 loss_iou: 0.2513 d0.loss_cls: 0.3117 d0.loss_bbox: 0.1593 d0.loss_iou: 0.2703 d1.loss_cls: 0.2916 d1.loss_bbox: 0.1541 d1.loss_iou: 0.2616 d2.loss_cls: 0.2898 d2.loss_bbox: 0.1461 d2.loss_iou: 0.2522 d3.loss_cls: 0.2855 d3.loss_bbox: 0.1435 d3.loss_iou: 0.2520 d4.loss_cls: 0.2815 d4.loss_bbox: 0.1431 d4.loss_iou: 0.2500 enc_loss_cls: 0.3306 enc_loss_bbox: 0.1717 enc_loss_iou: 0.2896 dn_loss_cls: 0.1233 dn_loss_bbox: 0.1676 dn_loss_iou: 0.2247 d0.dn_loss_cls: 0.2076 d0.dn_loss_bbox: 0.3103 d0.dn_loss_iou: 0.3732 d1.dn_loss_cls: 0.1680 d1.dn_loss_bbox: 0.1934 d1.dn_loss_iou: 0.2547 d2.dn_loss_cls: 0.1430 d2.dn_loss_bbox: 0.1720 d2.dn_loss_iou: 0.2306 d3.dn_loss_cls: 0.1361 d3.dn_loss_bbox: 0.1678 d3.dn_loss_iou: 0.2254 d4.dn_loss_cls: 0.1206 d4.dn_loss_bbox: 0.1676 d4.dn_loss_iou: 0.2248 d1.loss_lmm_region: 0.1373 loss_lmm_image: 0.8195 +2024/11/08 10:55:05 - mmengine - INFO - Iter(train) [102200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:51:43 time: 1.0125 data_time: 0.0184 memory: 23878 grad_norm: 22.3661 loss: 9.2631 loss_cls: 0.2688 loss_bbox: 0.1399 loss_iou: 0.2593 d0.loss_cls: 0.2972 d0.loss_bbox: 0.1566 d0.loss_iou: 0.2770 d1.loss_cls: 0.2847 d1.loss_bbox: 0.1491 d1.loss_iou: 0.2686 d2.loss_cls: 0.2793 d2.loss_bbox: 0.1428 d2.loss_iou: 0.2616 d3.loss_cls: 0.2720 d3.loss_bbox: 0.1419 d3.loss_iou: 0.2606 d4.loss_cls: 0.2682 d4.loss_bbox: 0.1410 d4.loss_iou: 0.2612 enc_loss_cls: 0.3173 enc_loss_bbox: 0.1701 enc_loss_iou: 0.2997 dn_loss_cls: 0.0860 dn_loss_bbox: 0.1831 dn_loss_iou: 0.2197 d0.dn_loss_cls: 0.1620 d0.dn_loss_bbox: 0.3366 d0.dn_loss_iou: 0.3653 d1.dn_loss_cls: 0.1136 d1.dn_loss_bbox: 0.2190 d1.dn_loss_iou: 0.2521 d2.dn_loss_cls: 0.0983 d2.dn_loss_bbox: 0.1922 d2.dn_loss_iou: 0.2278 d3.dn_loss_cls: 0.0891 d3.dn_loss_bbox: 0.1834 d3.dn_loss_iou: 0.2211 d4.dn_loss_cls: 0.0866 d4.dn_loss_bbox: 0.1831 d4.dn_loss_iou: 0.2197 d1.loss_lmm_region: 0.1252 loss_lmm_image: 0.7821 +2024/11/08 10:56:47 - mmengine - INFO - Iter(train) [102300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:49:58 time: 1.0164 data_time: 0.0184 memory: 22907 grad_norm: 21.8481 loss: 9.2995 loss_cls: 0.2745 loss_bbox: 0.1416 loss_iou: 0.2607 d0.loss_cls: 0.3095 d0.loss_bbox: 0.1550 d0.loss_iou: 0.2767 d1.loss_cls: 0.2954 d1.loss_bbox: 0.1441 d1.loss_iou: 0.2642 d2.loss_cls: 0.2815 d2.loss_bbox: 0.1481 d2.loss_iou: 0.2685 d3.loss_cls: 0.2778 d3.loss_bbox: 0.1472 d3.loss_iou: 0.2656 d4.loss_cls: 0.2700 d4.loss_bbox: 0.1483 d4.loss_iou: 0.2648 enc_loss_cls: 0.3287 enc_loss_bbox: 0.1706 enc_loss_iou: 0.2972 dn_loss_cls: 0.0621 dn_loss_bbox: 0.1862 dn_loss_iou: 0.2330 d0.dn_loss_cls: 0.1562 d0.dn_loss_bbox: 0.3415 d0.dn_loss_iou: 0.3805 d1.dn_loss_cls: 0.0952 d1.dn_loss_bbox: 0.2262 d1.dn_loss_iou: 0.2684 d2.dn_loss_cls: 0.0782 d2.dn_loss_bbox: 0.1959 d2.dn_loss_iou: 0.2422 d3.dn_loss_cls: 0.0681 d3.dn_loss_bbox: 0.1870 d3.dn_loss_iou: 0.2344 d4.dn_loss_cls: 0.0632 d4.dn_loss_bbox: 0.1862 d4.dn_loss_iou: 0.2329 d1.loss_lmm_region: 0.1376 loss_lmm_image: 0.7344 +2024/11/08 10:58:30 - mmengine - INFO - Iter(train) [102400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:48:13 time: 1.0272 data_time: 0.0181 memory: 24916 grad_norm: 23.3733 loss: 9.7780 loss_cls: 0.3135 loss_bbox: 0.1522 loss_iou: 0.2931 d0.loss_cls: 0.3575 d0.loss_bbox: 0.1608 d0.loss_iou: 0.3079 d1.loss_cls: 0.3416 d1.loss_bbox: 0.1447 d1.loss_iou: 0.2920 d2.loss_cls: 0.3290 d2.loss_bbox: 0.1454 d2.loss_iou: 0.2921 d3.loss_cls: 0.3174 d3.loss_bbox: 0.1512 d3.loss_iou: 0.2936 d4.loss_cls: 0.3158 d4.loss_bbox: 0.1499 d4.loss_iou: 0.2935 enc_loss_cls: 0.3675 enc_loss_bbox: 0.1756 enc_loss_iou: 0.3363 dn_loss_cls: 0.0918 dn_loss_bbox: 0.1594 dn_loss_iou: 0.2241 d0.dn_loss_cls: 0.1677 d0.dn_loss_bbox: 0.2937 d0.dn_loss_iou: 0.3705 d1.dn_loss_cls: 0.1160 d1.dn_loss_bbox: 0.1889 d1.dn_loss_iou: 0.2567 d2.dn_loss_cls: 0.1036 d2.dn_loss_bbox: 0.1680 d2.dn_loss_iou: 0.2327 d3.dn_loss_cls: 0.0968 d3.dn_loss_bbox: 0.1603 d3.dn_loss_iou: 0.2253 d4.dn_loss_cls: 0.0919 d4.dn_loss_bbox: 0.1597 d4.dn_loss_iou: 0.2241 d1.loss_lmm_region: 0.1198 loss_lmm_image: 0.7963 +2024/11/08 11:00:12 - mmengine - INFO - Iter(train) [102500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:46:27 time: 1.0185 data_time: 0.0185 memory: 23631 grad_norm: 21.5716 loss: 9.5877 loss_cls: 0.2930 loss_bbox: 0.1523 loss_iou: 0.2822 d0.loss_cls: 0.3240 d0.loss_bbox: 0.1618 d0.loss_iou: 0.2941 d1.loss_cls: 0.3128 d1.loss_bbox: 0.1541 d1.loss_iou: 0.2852 d2.loss_cls: 0.3026 d2.loss_bbox: 0.1517 d2.loss_iou: 0.2814 d3.loss_cls: 0.2973 d3.loss_bbox: 0.1520 d3.loss_iou: 0.2819 d4.loss_cls: 0.2934 d4.loss_bbox: 0.1518 d4.loss_iou: 0.2811 enc_loss_cls: 0.3397 enc_loss_bbox: 0.1693 enc_loss_iou: 0.3103 dn_loss_cls: 0.0860 dn_loss_bbox: 0.1721 dn_loss_iou: 0.2262 d0.dn_loss_cls: 0.1718 d0.dn_loss_bbox: 0.3065 d0.dn_loss_iou: 0.3640 d1.dn_loss_cls: 0.1185 d1.dn_loss_bbox: 0.2040 d1.dn_loss_iou: 0.2562 d2.dn_loss_cls: 0.1024 d2.dn_loss_bbox: 0.1794 d2.dn_loss_iou: 0.2342 d3.dn_loss_cls: 0.0915 d3.dn_loss_bbox: 0.1734 d3.dn_loss_iou: 0.2279 d4.dn_loss_cls: 0.0871 d4.dn_loss_bbox: 0.1722 d4.dn_loss_iou: 0.2262 d1.loss_lmm_region: 0.1200 loss_lmm_image: 0.7964 +2024/11/08 11:01:53 - mmengine - INFO - Iter(train) [102600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:44:42 time: 1.0116 data_time: 0.0182 memory: 24387 grad_norm: 20.4578 loss: 8.5151 loss_cls: 0.2388 loss_bbox: 0.1217 loss_iou: 0.2277 d0.loss_cls: 0.2615 d0.loss_bbox: 0.1331 d0.loss_iou: 0.2472 d1.loss_cls: 0.2507 d1.loss_bbox: 0.1234 d1.loss_iou: 0.2347 d2.loss_cls: 0.2416 d2.loss_bbox: 0.1228 d2.loss_iou: 0.2306 d3.loss_cls: 0.2389 d3.loss_bbox: 0.1202 d3.loss_iou: 0.2290 d4.loss_cls: 0.2397 d4.loss_bbox: 0.1190 d4.loss_iou: 0.2275 enc_loss_cls: 0.2829 enc_loss_bbox: 0.1445 enc_loss_iou: 0.2669 dn_loss_cls: 0.0615 dn_loss_bbox: 0.1732 dn_loss_iou: 0.2303 d0.dn_loss_cls: 0.1426 d0.dn_loss_bbox: 0.3315 d0.dn_loss_iou: 0.3870 d1.dn_loss_cls: 0.0908 d1.dn_loss_bbox: 0.2151 d1.dn_loss_iou: 0.2682 d2.dn_loss_cls: 0.0749 d2.dn_loss_bbox: 0.1850 d2.dn_loss_iou: 0.2395 d3.dn_loss_cls: 0.0662 d3.dn_loss_bbox: 0.1759 d3.dn_loss_iou: 0.2321 d4.dn_loss_cls: 0.0636 d4.dn_loss_bbox: 0.1730 d4.dn_loss_iou: 0.2300 d1.loss_lmm_region: 0.1205 loss_lmm_image: 0.7518 +2024/11/08 11:03:36 - mmengine - INFO - Iter(train) [102700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:42:57 time: 1.0110 data_time: 0.0184 memory: 23272 grad_norm: 23.6661 loss: 10.6638 loss_cls: 0.3269 loss_bbox: 0.1700 loss_iou: 0.2858 d0.loss_cls: 0.3542 d0.loss_bbox: 0.1892 d0.loss_iou: 0.3033 d1.loss_cls: 0.3429 d1.loss_bbox: 0.1748 d1.loss_iou: 0.2941 d2.loss_cls: 0.3347 d2.loss_bbox: 0.1741 d2.loss_iou: 0.2911 d3.loss_cls: 0.3326 d3.loss_bbox: 0.1710 d3.loss_iou: 0.2866 d4.loss_cls: 0.3271 d4.loss_bbox: 0.1702 d4.loss_iou: 0.2872 enc_loss_cls: 0.3729 enc_loss_bbox: 0.2026 enc_loss_iou: 0.3272 dn_loss_cls: 0.0989 dn_loss_bbox: 0.2098 dn_loss_iou: 0.2551 d0.dn_loss_cls: 0.2051 d0.dn_loss_bbox: 0.3862 d0.dn_loss_iou: 0.4258 d1.dn_loss_cls: 0.1368 d1.dn_loss_bbox: 0.2462 d1.dn_loss_iou: 0.2938 d2.dn_loss_cls: 0.1143 d2.dn_loss_bbox: 0.2173 d2.dn_loss_iou: 0.2655 d3.dn_loss_cls: 0.1052 d3.dn_loss_bbox: 0.2101 d3.dn_loss_iou: 0.2565 d4.dn_loss_cls: 0.0989 d4.dn_loss_bbox: 0.2100 d4.dn_loss_iou: 0.2551 d1.loss_lmm_region: 0.1566 loss_lmm_image: 0.7982 +2024/11/08 11:05:19 - mmengine - INFO - Iter(train) [102800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:41:11 time: 1.0348 data_time: 0.0183 memory: 22541 grad_norm: 20.7122 loss: 9.2800 loss_cls: 0.2981 loss_bbox: 0.1345 loss_iou: 0.2742 d0.loss_cls: 0.3329 d0.loss_bbox: 0.1439 d0.loss_iou: 0.2913 d1.loss_cls: 0.3221 d1.loss_bbox: 0.1336 d1.loss_iou: 0.2781 d2.loss_cls: 0.3122 d2.loss_bbox: 0.1331 d2.loss_iou: 0.2761 d3.loss_cls: 0.3058 d3.loss_bbox: 0.1323 d3.loss_iou: 0.2753 d4.loss_cls: 0.3005 d4.loss_bbox: 0.1333 d4.loss_iou: 0.2735 enc_loss_cls: 0.3472 enc_loss_bbox: 0.1619 enc_loss_iou: 0.3209 dn_loss_cls: 0.0694 dn_loss_bbox: 0.1623 dn_loss_iou: 0.2181 d0.dn_loss_cls: 0.1604 d0.dn_loss_bbox: 0.2994 d0.dn_loss_iou: 0.3559 d1.dn_loss_cls: 0.1029 d1.dn_loss_bbox: 0.1923 d1.dn_loss_iou: 0.2474 d2.dn_loss_cls: 0.0836 d2.dn_loss_bbox: 0.1699 d2.dn_loss_iou: 0.2257 d3.dn_loss_cls: 0.0737 d3.dn_loss_bbox: 0.1635 d3.dn_loss_iou: 0.2190 d4.dn_loss_cls: 0.0700 d4.dn_loss_bbox: 0.1624 d4.dn_loss_iou: 0.2180 d1.loss_lmm_region: 0.1220 loss_lmm_image: 0.7831 +2024/11/08 11:07:01 - mmengine - INFO - Iter(train) [102900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:39:26 time: 1.0145 data_time: 0.0183 memory: 24699 grad_norm: 25.3631 loss: 10.4547 loss_cls: 0.3234 loss_bbox: 0.1813 loss_iou: 0.2696 d0.loss_cls: 0.3671 d0.loss_bbox: 0.1927 d0.loss_iou: 0.2802 d1.loss_cls: 0.3491 d1.loss_bbox: 0.1801 d1.loss_iou: 0.2712 d2.loss_cls: 0.3406 d2.loss_bbox: 0.1738 d2.loss_iou: 0.2677 d3.loss_cls: 0.3344 d3.loss_bbox: 0.1743 d3.loss_iou: 0.2681 d4.loss_cls: 0.3225 d4.loss_bbox: 0.1830 d4.loss_iou: 0.2701 enc_loss_cls: 0.3836 enc_loss_bbox: 0.2029 enc_loss_iou: 0.2999 dn_loss_cls: 0.1155 dn_loss_bbox: 0.2016 dn_loss_iou: 0.2369 d0.dn_loss_cls: 0.2065 d0.dn_loss_bbox: 0.3572 d0.dn_loss_iou: 0.3797 d1.dn_loss_cls: 0.1497 d1.dn_loss_bbox: 0.2386 d1.dn_loss_iou: 0.2691 d2.dn_loss_cls: 0.1307 d2.dn_loss_bbox: 0.2111 d2.dn_loss_iou: 0.2454 d3.dn_loss_cls: 0.1212 d3.dn_loss_bbox: 0.2044 d3.dn_loss_iou: 0.2387 d4.dn_loss_cls: 0.1166 d4.dn_loss_bbox: 0.2017 d4.dn_loss_iou: 0.2370 d1.loss_lmm_region: 0.1477 loss_lmm_image: 0.8100 +2024/11/08 11:08:43 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/08 11:08:43 - mmengine - INFO - Iter(train) [103000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:37:40 time: 1.0204 data_time: 0.0183 memory: 23018 grad_norm: 31.0740 loss: 9.5948 loss_cls: 0.3072 loss_bbox: 0.1422 loss_iou: 0.2747 d0.loss_cls: 0.3333 d0.loss_bbox: 0.1571 d0.loss_iou: 0.2918 d1.loss_cls: 0.3220 d1.loss_bbox: 0.1453 d1.loss_iou: 0.2762 d2.loss_cls: 0.3101 d2.loss_bbox: 0.1440 d2.loss_iou: 0.2778 d3.loss_cls: 0.3078 d3.loss_bbox: 0.1430 d3.loss_iou: 0.2767 d4.loss_cls: 0.3089 d4.loss_bbox: 0.1422 d4.loss_iou: 0.2751 enc_loss_cls: 0.3496 enc_loss_bbox: 0.1688 enc_loss_iou: 0.3086 dn_loss_cls: 0.0743 dn_loss_bbox: 0.1801 dn_loss_iou: 0.2323 d0.dn_loss_cls: 0.1527 d0.dn_loss_bbox: 0.3375 d0.dn_loss_iou: 0.3777 d1.dn_loss_cls: 0.1036 d1.dn_loss_bbox: 0.2197 d1.dn_loss_iou: 0.2668 d2.dn_loss_cls: 0.0898 d2.dn_loss_bbox: 0.1940 d2.dn_loss_iou: 0.2425 d3.dn_loss_cls: 0.0797 d3.dn_loss_bbox: 0.1821 d3.dn_loss_iou: 0.2342 d4.dn_loss_cls: 0.0749 d4.dn_loss_bbox: 0.1800 d4.dn_loss_iou: 0.2323 d1.loss_lmm_region: 0.1224 loss_lmm_image: 0.7555 +2024/11/08 11:10:26 - mmengine - INFO - Iter(train) [103100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:35:55 time: 1.0244 data_time: 0.0184 memory: 24016 grad_norm: 23.1436 loss: 9.2602 loss_cls: 0.2662 loss_bbox: 0.1433 loss_iou: 0.2571 d0.loss_cls: 0.2946 d0.loss_bbox: 0.1581 d0.loss_iou: 0.2810 d1.loss_cls: 0.2828 d1.loss_bbox: 0.1467 d1.loss_iou: 0.2646 d2.loss_cls: 0.2758 d2.loss_bbox: 0.1431 d2.loss_iou: 0.2601 d3.loss_cls: 0.2738 d3.loss_bbox: 0.1437 d3.loss_iou: 0.2573 d4.loss_cls: 0.2649 d4.loss_bbox: 0.1446 d4.loss_iou: 0.2581 enc_loss_cls: 0.3155 enc_loss_bbox: 0.1708 enc_loss_iou: 0.3006 dn_loss_cls: 0.0828 dn_loss_bbox: 0.1848 dn_loss_iou: 0.2111 d0.dn_loss_cls: 0.1688 d0.dn_loss_bbox: 0.3418 d0.dn_loss_iou: 0.3548 d1.dn_loss_cls: 0.1190 d1.dn_loss_bbox: 0.2219 d1.dn_loss_iou: 0.2467 d2.dn_loss_cls: 0.1007 d2.dn_loss_bbox: 0.1942 d2.dn_loss_iou: 0.2212 d3.dn_loss_cls: 0.0912 d3.dn_loss_bbox: 0.1850 d3.dn_loss_iou: 0.2122 d4.dn_loss_cls: 0.0844 d4.dn_loss_bbox: 0.1848 d4.dn_loss_iou: 0.2110 d1.loss_lmm_region: 0.1423 loss_lmm_image: 0.7986 +2024/11/08 11:12:08 - mmengine - INFO - Iter(train) [103200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:34:10 time: 1.0169 data_time: 0.0182 memory: 24532 grad_norm: 21.5359 loss: 10.6852 loss_cls: 0.3737 loss_bbox: 0.1668 loss_iou: 0.3201 d0.loss_cls: 0.4151 d0.loss_bbox: 0.1844 d0.loss_iou: 0.3461 d1.loss_cls: 0.3959 d1.loss_bbox: 0.1754 d1.loss_iou: 0.3314 d2.loss_cls: 0.3874 d2.loss_bbox: 0.1646 d2.loss_iou: 0.3204 d3.loss_cls: 0.3799 d3.loss_bbox: 0.1666 d3.loss_iou: 0.3228 d4.loss_cls: 0.3745 d4.loss_bbox: 0.1661 d4.loss_iou: 0.3200 enc_loss_cls: 0.4467 enc_loss_bbox: 0.1947 enc_loss_iou: 0.3644 dn_loss_cls: 0.0995 dn_loss_bbox: 0.1646 dn_loss_iou: 0.2296 d0.dn_loss_cls: 0.1933 d0.dn_loss_bbox: 0.3184 d0.dn_loss_iou: 0.3830 d1.dn_loss_cls: 0.1407 d1.dn_loss_bbox: 0.2012 d1.dn_loss_iou: 0.2682 d2.dn_loss_cls: 0.1182 d2.dn_loss_bbox: 0.1738 d2.dn_loss_iou: 0.2404 d3.dn_loss_cls: 0.1044 d3.dn_loss_bbox: 0.1662 d3.dn_loss_iou: 0.2313 d4.dn_loss_cls: 0.1007 d4.dn_loss_bbox: 0.1646 d4.dn_loss_iou: 0.2294 d1.loss_lmm_region: 0.1402 loss_lmm_image: 0.7007 +2024/11/08 11:13:51 - mmengine - INFO - Iter(train) [103300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:32:25 time: 1.0247 data_time: 0.0183 memory: 23558 grad_norm: 22.9056 loss: 9.9002 loss_cls: 0.3038 loss_bbox: 0.1388 loss_iou: 0.2689 d0.loss_cls: 0.3242 d0.loss_bbox: 0.1600 d0.loss_iou: 0.2901 d1.loss_cls: 0.3101 d1.loss_bbox: 0.1478 d1.loss_iou: 0.2803 d2.loss_cls: 0.3090 d2.loss_bbox: 0.1448 d2.loss_iou: 0.2740 d3.loss_cls: 0.3093 d3.loss_bbox: 0.1391 d3.loss_iou: 0.2690 d4.loss_cls: 0.3052 d4.loss_bbox: 0.1393 d4.loss_iou: 0.2694 enc_loss_cls: 0.3498 enc_loss_bbox: 0.1649 enc_loss_iou: 0.3035 dn_loss_cls: 0.0981 dn_loss_bbox: 0.1832 dn_loss_iou: 0.2499 d0.dn_loss_cls: 0.1852 d0.dn_loss_bbox: 0.3435 d0.dn_loss_iou: 0.4030 d1.dn_loss_cls: 0.1382 d1.dn_loss_bbox: 0.2196 d1.dn_loss_iou: 0.2836 d2.dn_loss_cls: 0.1187 d2.dn_loss_bbox: 0.1938 d2.dn_loss_iou: 0.2588 d3.dn_loss_cls: 0.1101 d3.dn_loss_bbox: 0.1848 d3.dn_loss_iou: 0.2514 d4.dn_loss_cls: 0.1030 d4.dn_loss_bbox: 0.1831 d4.dn_loss_iou: 0.2499 d1.loss_lmm_region: 0.1422 loss_lmm_image: 0.7988 +2024/11/08 11:15:34 - mmengine - INFO - Iter(train) [103400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:30:40 time: 1.0200 data_time: 0.0183 memory: 22947 grad_norm: 20.0233 loss: 8.7742 loss_cls: 0.2547 loss_bbox: 0.1241 loss_iou: 0.2392 d0.loss_cls: 0.2964 d0.loss_bbox: 0.1305 d0.loss_iou: 0.2536 d1.loss_cls: 0.2737 d1.loss_bbox: 0.1257 d1.loss_iou: 0.2454 d2.loss_cls: 0.2714 d2.loss_bbox: 0.1197 d2.loss_iou: 0.2372 d3.loss_cls: 0.2645 d3.loss_bbox: 0.1210 d3.loss_iou: 0.2377 d4.loss_cls: 0.2574 d4.loss_bbox: 0.1222 d4.loss_iou: 0.2388 enc_loss_cls: 0.3171 enc_loss_bbox: 0.1420 enc_loss_iou: 0.2746 dn_loss_cls: 0.0776 dn_loss_bbox: 0.1686 dn_loss_iou: 0.2162 d0.dn_loss_cls: 0.1662 d0.dn_loss_bbox: 0.3101 d0.dn_loss_iou: 0.3619 d1.dn_loss_cls: 0.1145 d1.dn_loss_bbox: 0.1989 d1.dn_loss_iou: 0.2506 d2.dn_loss_cls: 0.0964 d2.dn_loss_bbox: 0.1776 d2.dn_loss_iou: 0.2259 d3.dn_loss_cls: 0.0852 d3.dn_loss_bbox: 0.1694 d3.dn_loss_iou: 0.2181 d4.dn_loss_cls: 0.0793 d4.dn_loss_bbox: 0.1685 d4.dn_loss_iou: 0.2163 d1.loss_lmm_region: 0.1333 loss_lmm_image: 0.7927 +2024/11/08 11:17:16 - mmengine - INFO - Iter(train) [103500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:28:54 time: 1.0270 data_time: 0.0182 memory: 23120 grad_norm: 22.0838 loss: 10.1643 loss_cls: 0.3322 loss_bbox: 0.1581 loss_iou: 0.2679 d0.loss_cls: 0.3601 d0.loss_bbox: 0.1704 d0.loss_iou: 0.2856 d1.loss_cls: 0.3499 d1.loss_bbox: 0.1642 d1.loss_iou: 0.2770 d2.loss_cls: 0.3492 d2.loss_bbox: 0.1594 d2.loss_iou: 0.2694 d3.loss_cls: 0.3439 d3.loss_bbox: 0.1516 d3.loss_iou: 0.2641 d4.loss_cls: 0.3394 d4.loss_bbox: 0.1505 d4.loss_iou: 0.2635 enc_loss_cls: 0.3819 enc_loss_bbox: 0.1803 enc_loss_iou: 0.3006 dn_loss_cls: 0.0965 dn_loss_bbox: 0.1855 dn_loss_iou: 0.2411 d0.dn_loss_cls: 0.2005 d0.dn_loss_bbox: 0.3459 d0.dn_loss_iou: 0.3981 d1.dn_loss_cls: 0.1358 d1.dn_loss_bbox: 0.2186 d1.dn_loss_iou: 0.2750 d2.dn_loss_cls: 0.1149 d2.dn_loss_bbox: 0.1944 d2.dn_loss_iou: 0.2505 d3.dn_loss_cls: 0.1042 d3.dn_loss_bbox: 0.1866 d3.dn_loss_iou: 0.2427 d4.dn_loss_cls: 0.0977 d4.dn_loss_bbox: 0.1856 d4.dn_loss_iou: 0.2409 d1.loss_lmm_region: 0.1599 loss_lmm_image: 0.7706 +2024/11/08 11:18:58 - mmengine - INFO - Iter(train) [103600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:27:09 time: 1.0222 data_time: 0.0184 memory: 23716 grad_norm: 20.4673 loss: 8.5739 loss_cls: 0.2623 loss_bbox: 0.1231 loss_iou: 0.2390 d0.loss_cls: 0.2913 d0.loss_bbox: 0.1383 d0.loss_iou: 0.2579 d1.loss_cls: 0.2786 d1.loss_bbox: 0.1260 d1.loss_iou: 0.2456 d2.loss_cls: 0.2685 d2.loss_bbox: 0.1248 d2.loss_iou: 0.2421 d3.loss_cls: 0.2644 d3.loss_bbox: 0.1245 d3.loss_iou: 0.2400 d4.loss_cls: 0.2628 d4.loss_bbox: 0.1237 d4.loss_iou: 0.2393 enc_loss_cls: 0.3145 enc_loss_bbox: 0.1480 enc_loss_iou: 0.2745 dn_loss_cls: 0.0702 dn_loss_bbox: 0.1465 dn_loss_iou: 0.2042 d0.dn_loss_cls: 0.1491 d0.dn_loss_bbox: 0.2953 d0.dn_loss_iou: 0.3501 d1.dn_loss_cls: 0.0998 d1.dn_loss_bbox: 0.1778 d1.dn_loss_iou: 0.2363 d2.dn_loss_cls: 0.0848 d2.dn_loss_bbox: 0.1554 d2.dn_loss_iou: 0.2136 d3.dn_loss_cls: 0.0772 d3.dn_loss_bbox: 0.1486 d3.dn_loss_iou: 0.2061 d4.dn_loss_cls: 0.0712 d4.dn_loss_bbox: 0.1464 d4.dn_loss_iou: 0.2042 d1.loss_lmm_region: 0.1232 loss_lmm_image: 0.8243 +2024/11/08 11:20:40 - mmengine - INFO - Iter(train) [103700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:25:24 time: 1.0142 data_time: 0.0183 memory: 23506 grad_norm: 19.7548 loss: 8.5701 loss_cls: 0.2450 loss_bbox: 0.1291 loss_iou: 0.2187 d0.loss_cls: 0.2766 d0.loss_bbox: 0.1434 d0.loss_iou: 0.2367 d1.loss_cls: 0.2604 d1.loss_bbox: 0.1355 d1.loss_iou: 0.2262 d2.loss_cls: 0.2567 d2.loss_bbox: 0.1288 d2.loss_iou: 0.2174 d3.loss_cls: 0.2510 d3.loss_bbox: 0.1287 d3.loss_iou: 0.2182 d4.loss_cls: 0.2475 d4.loss_bbox: 0.1285 d4.loss_iou: 0.2179 enc_loss_cls: 0.2967 enc_loss_bbox: 0.1538 enc_loss_iou: 0.2546 dn_loss_cls: 0.0826 dn_loss_bbox: 0.1762 dn_loss_iou: 0.2079 d0.dn_loss_cls: 0.1721 d0.dn_loss_bbox: 0.3375 d0.dn_loss_iou: 0.3530 d1.dn_loss_cls: 0.1162 d1.dn_loss_bbox: 0.2124 d1.dn_loss_iou: 0.2403 d2.dn_loss_cls: 0.0974 d2.dn_loss_bbox: 0.1862 d2.dn_loss_iou: 0.2176 d3.dn_loss_cls: 0.0880 d3.dn_loss_bbox: 0.1790 d3.dn_loss_iou: 0.2102 d4.dn_loss_cls: 0.0840 d4.dn_loss_bbox: 0.1763 d4.dn_loss_iou: 0.2079 d1.loss_lmm_region: 0.1195 loss_lmm_image: 0.7343 +2024/11/08 11:22:23 - mmengine - INFO - Iter(train) [103800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:23:38 time: 1.0276 data_time: 0.0183 memory: 23225 grad_norm: 24.2378 loss: 10.2155 loss_cls: 0.3135 loss_bbox: 0.1612 loss_iou: 0.2977 d0.loss_cls: 0.3480 d0.loss_bbox: 0.1796 d0.loss_iou: 0.3223 d1.loss_cls: 0.3319 d1.loss_bbox: 0.1654 d1.loss_iou: 0.3064 d2.loss_cls: 0.3233 d2.loss_bbox: 0.1628 d2.loss_iou: 0.3004 d3.loss_cls: 0.3196 d3.loss_bbox: 0.1619 d3.loss_iou: 0.2964 d4.loss_cls: 0.3138 d4.loss_bbox: 0.1640 d4.loss_iou: 0.3005 enc_loss_cls: 0.3695 enc_loss_bbox: 0.1902 enc_loss_iou: 0.3440 dn_loss_cls: 0.0880 dn_loss_bbox: 0.1783 dn_loss_iou: 0.2404 d0.dn_loss_cls: 0.1866 d0.dn_loss_bbox: 0.3256 d0.dn_loss_iou: 0.3929 d1.dn_loss_cls: 0.1255 d1.dn_loss_bbox: 0.2075 d1.dn_loss_iou: 0.2749 d2.dn_loss_cls: 0.1067 d2.dn_loss_bbox: 0.1854 d2.dn_loss_iou: 0.2495 d3.dn_loss_cls: 0.0951 d3.dn_loss_bbox: 0.1793 d3.dn_loss_iou: 0.2419 d4.dn_loss_cls: 0.0893 d4.dn_loss_bbox: 0.1782 d4.dn_loss_iou: 0.2404 d1.loss_lmm_region: 0.1364 loss_lmm_image: 0.8211 +2024/11/08 11:24:04 - mmengine - INFO - Iter(train) [103900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:21:53 time: 1.0162 data_time: 0.0182 memory: 22631 grad_norm: 25.6943 loss: 10.0290 loss_cls: 0.3251 loss_bbox: 0.1558 loss_iou: 0.2636 d0.loss_cls: 0.3672 d0.loss_bbox: 0.1701 d0.loss_iou: 0.2811 d1.loss_cls: 0.3482 d1.loss_bbox: 0.1620 d1.loss_iou: 0.2692 d2.loss_cls: 0.3383 d2.loss_bbox: 0.1587 d2.loss_iou: 0.2681 d3.loss_cls: 0.3321 d3.loss_bbox: 0.1559 d3.loss_iou: 0.2628 d4.loss_cls: 0.3267 d4.loss_bbox: 0.1555 d4.loss_iou: 0.2625 enc_loss_cls: 0.3820 enc_loss_bbox: 0.1889 enc_loss_iou: 0.3030 dn_loss_cls: 0.1048 dn_loss_bbox: 0.1886 dn_loss_iou: 0.2291 d0.dn_loss_cls: 0.1995 d0.dn_loss_bbox: 0.3523 d0.dn_loss_iou: 0.3884 d1.dn_loss_cls: 0.1411 d1.dn_loss_bbox: 0.2250 d1.dn_loss_iou: 0.2668 d2.dn_loss_cls: 0.1233 d2.dn_loss_bbox: 0.1966 d2.dn_loss_iou: 0.2391 d3.dn_loss_cls: 0.1091 d3.dn_loss_bbox: 0.1896 d3.dn_loss_iou: 0.2306 d4.dn_loss_cls: 0.1051 d4.dn_loss_bbox: 0.1885 d4.dn_loss_iou: 0.2291 d1.loss_lmm_region: 0.1264 loss_lmm_image: 0.7195 +2024/11/08 11:25:46 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/08 11:25:46 - mmengine - INFO - Iter(train) [104000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:20:07 time: 1.0179 data_time: 0.0184 memory: 24726 grad_norm: 22.2257 loss: 9.5202 loss_cls: 0.2771 loss_bbox: 0.1514 loss_iou: 0.2531 d0.loss_cls: 0.3102 d0.loss_bbox: 0.1671 d0.loss_iou: 0.2695 d1.loss_cls: 0.2973 d1.loss_bbox: 0.1556 d1.loss_iou: 0.2588 d2.loss_cls: 0.2863 d2.loss_bbox: 0.1546 d2.loss_iou: 0.2568 d3.loss_cls: 0.2850 d3.loss_bbox: 0.1509 d3.loss_iou: 0.2513 d4.loss_cls: 0.2769 d4.loss_bbox: 0.1515 d4.loss_iou: 0.2530 enc_loss_cls: 0.3346 enc_loss_bbox: 0.1799 enc_loss_iou: 0.2885 dn_loss_cls: 0.0915 dn_loss_bbox: 0.1800 dn_loss_iou: 0.2327 d0.dn_loss_cls: 0.1782 d0.dn_loss_bbox: 0.3568 d0.dn_loss_iou: 0.3953 d1.dn_loss_cls: 0.1276 d1.dn_loss_bbox: 0.2154 d1.dn_loss_iou: 0.2677 d2.dn_loss_cls: 0.1129 d2.dn_loss_bbox: 0.1909 d2.dn_loss_iou: 0.2429 d3.dn_loss_cls: 0.0994 d3.dn_loss_bbox: 0.1820 d3.dn_loss_iou: 0.2346 d4.dn_loss_cls: 0.0922 d4.dn_loss_bbox: 0.1801 d4.dn_loss_iou: 0.2327 d1.loss_lmm_region: 0.1482 loss_lmm_image: 0.7495 +2024/11/08 11:27:28 - mmengine - INFO - Iter(train) [104100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:18:22 time: 1.0154 data_time: 0.0182 memory: 24096 grad_norm: 21.8184 loss: 9.6206 loss_cls: 0.2821 loss_bbox: 0.1514 loss_iou: 0.3026 d0.loss_cls: 0.3181 d0.loss_bbox: 0.1627 d0.loss_iou: 0.3127 d1.loss_cls: 0.2970 d1.loss_bbox: 0.1589 d1.loss_iou: 0.3078 d2.loss_cls: 0.2943 d2.loss_bbox: 0.1506 d2.loss_iou: 0.2994 d3.loss_cls: 0.2892 d3.loss_bbox: 0.1492 d3.loss_iou: 0.3006 d4.loss_cls: 0.2847 d4.loss_bbox: 0.1493 d4.loss_iou: 0.3011 enc_loss_cls: 0.3363 enc_loss_bbox: 0.1748 enc_loss_iou: 0.3349 dn_loss_cls: 0.0732 dn_loss_bbox: 0.1751 dn_loss_iou: 0.2333 d0.dn_loss_cls: 0.1454 d0.dn_loss_bbox: 0.3293 d0.dn_loss_iou: 0.3833 d1.dn_loss_cls: 0.0961 d1.dn_loss_bbox: 0.2101 d1.dn_loss_iou: 0.2663 d2.dn_loss_cls: 0.0819 d2.dn_loss_bbox: 0.1827 d2.dn_loss_iou: 0.2416 d3.dn_loss_cls: 0.0749 d3.dn_loss_bbox: 0.1759 d3.dn_loss_iou: 0.2342 d4.dn_loss_cls: 0.0729 d4.dn_loss_bbox: 0.1749 d4.dn_loss_iou: 0.2331 d1.loss_lmm_region: 0.1214 loss_lmm_image: 0.7576 +2024/11/08 11:29:10 - mmengine - INFO - Iter(train) [104200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:16:37 time: 1.0235 data_time: 0.0182 memory: 23672 grad_norm: 24.0370 loss: 9.4104 loss_cls: 0.3038 loss_bbox: 0.1367 loss_iou: 0.2685 d0.loss_cls: 0.3327 d0.loss_bbox: 0.1562 d0.loss_iou: 0.2903 d1.loss_cls: 0.3195 d1.loss_bbox: 0.1478 d1.loss_iou: 0.2788 d2.loss_cls: 0.3134 d2.loss_bbox: 0.1394 d2.loss_iou: 0.2698 d3.loss_cls: 0.3085 d3.loss_bbox: 0.1387 d3.loss_iou: 0.2694 d4.loss_cls: 0.3052 d4.loss_bbox: 0.1370 d4.loss_iou: 0.2684 enc_loss_cls: 0.3417 enc_loss_bbox: 0.1746 enc_loss_iou: 0.3133 dn_loss_cls: 0.0835 dn_loss_bbox: 0.1596 dn_loss_iou: 0.2176 d0.dn_loss_cls: 0.1723 d0.dn_loss_bbox: 0.3082 d0.dn_loss_iou: 0.3673 d1.dn_loss_cls: 0.1156 d1.dn_loss_bbox: 0.1960 d1.dn_loss_iou: 0.2524 d2.dn_loss_cls: 0.0961 d2.dn_loss_bbox: 0.1691 d2.dn_loss_iou: 0.2267 d3.dn_loss_cls: 0.0866 d3.dn_loss_bbox: 0.1613 d3.dn_loss_iou: 0.2190 d4.dn_loss_cls: 0.0837 d4.dn_loss_bbox: 0.1596 d4.dn_loss_iou: 0.2176 d1.loss_lmm_region: 0.1335 loss_lmm_image: 0.7710 +2024/11/08 11:30:53 - mmengine - INFO - Iter(train) [104300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:14:51 time: 1.0177 data_time: 0.0185 memory: 24088 grad_norm: 23.1465 loss: 10.4669 loss_cls: 0.3902 loss_bbox: 0.1644 loss_iou: 0.2596 d0.loss_cls: 0.4242 d0.loss_bbox: 0.1810 d0.loss_iou: 0.2774 d1.loss_cls: 0.4102 d1.loss_bbox: 0.1637 d1.loss_iou: 0.2602 d2.loss_cls: 0.3960 d2.loss_bbox: 0.1643 d2.loss_iou: 0.2595 d3.loss_cls: 0.3937 d3.loss_bbox: 0.1655 d3.loss_iou: 0.2620 d4.loss_cls: 0.3922 d4.loss_bbox: 0.1633 d4.loss_iou: 0.2582 enc_loss_cls: 0.4380 enc_loss_bbox: 0.2015 enc_loss_iou: 0.3036 dn_loss_cls: 0.1401 dn_loss_bbox: 0.1799 dn_loss_iou: 0.2013 d0.dn_loss_cls: 0.2144 d0.dn_loss_bbox: 0.3372 d0.dn_loss_iou: 0.3520 d1.dn_loss_cls: 0.1673 d1.dn_loss_bbox: 0.2111 d1.dn_loss_iou: 0.2346 d2.dn_loss_cls: 0.1551 d2.dn_loss_bbox: 0.1877 d2.dn_loss_iou: 0.2099 d3.dn_loss_cls: 0.1462 d3.dn_loss_bbox: 0.1817 d3.dn_loss_iou: 0.2026 d4.dn_loss_cls: 0.1423 d4.dn_loss_bbox: 0.1799 d4.dn_loss_iou: 0.2013 d1.loss_lmm_region: 0.1294 loss_lmm_image: 0.7642 +2024/11/08 11:32:35 - mmengine - INFO - Iter(train) [104400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:13:06 time: 1.0168 data_time: 0.0182 memory: 23003 grad_norm: 23.3264 loss: 9.8205 loss_cls: 0.2981 loss_bbox: 0.1538 loss_iou: 0.2752 d0.loss_cls: 0.3392 d0.loss_bbox: 0.1758 d0.loss_iou: 0.2943 d1.loss_cls: 0.3216 d1.loss_bbox: 0.1630 d1.loss_iou: 0.2828 d2.loss_cls: 0.3117 d2.loss_bbox: 0.1554 d2.loss_iou: 0.2737 d3.loss_cls: 0.3015 d3.loss_bbox: 0.1568 d3.loss_iou: 0.2781 d4.loss_cls: 0.2977 d4.loss_bbox: 0.1549 d4.loss_iou: 0.2749 enc_loss_cls: 0.3586 enc_loss_bbox: 0.1820 enc_loss_iou: 0.3108 dn_loss_cls: 0.0905 dn_loss_bbox: 0.1776 dn_loss_iou: 0.2286 d0.dn_loss_cls: 0.1848 d0.dn_loss_bbox: 0.3336 d0.dn_loss_iou: 0.3754 d1.dn_loss_cls: 0.1266 d1.dn_loss_bbox: 0.2107 d1.dn_loss_iou: 0.2606 d2.dn_loss_cls: 0.1064 d2.dn_loss_bbox: 0.1873 d2.dn_loss_iou: 0.2367 d3.dn_loss_cls: 0.0953 d3.dn_loss_bbox: 0.1791 d3.dn_loss_iou: 0.2300 d4.dn_loss_cls: 0.0909 d4.dn_loss_bbox: 0.1776 d4.dn_loss_iou: 0.2286 d1.loss_lmm_region: 0.1459 loss_lmm_image: 0.7941 +2024/11/08 11:34:17 - mmengine - INFO - Iter(train) [104500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:11:21 time: 1.0182 data_time: 0.0182 memory: 22896 grad_norm: 20.8059 loss: 9.0032 loss_cls: 0.2762 loss_bbox: 0.1244 loss_iou: 0.2172 d0.loss_cls: 0.3109 d0.loss_bbox: 0.1303 d0.loss_iou: 0.2316 d1.loss_cls: 0.2954 d1.loss_bbox: 0.1242 d1.loss_iou: 0.2239 d2.loss_cls: 0.2911 d2.loss_bbox: 0.1204 d2.loss_iou: 0.2206 d3.loss_cls: 0.2882 d3.loss_bbox: 0.1200 d3.loss_iou: 0.2177 d4.loss_cls: 0.2818 d4.loss_bbox: 0.1215 d4.loss_iou: 0.2160 enc_loss_cls: 0.3239 enc_loss_bbox: 0.1495 enc_loss_iou: 0.2522 dn_loss_cls: 0.1046 dn_loss_bbox: 0.1928 dn_loss_iou: 0.2160 d0.dn_loss_cls: 0.1797 d0.dn_loss_bbox: 0.3548 d0.dn_loss_iou: 0.3581 d1.dn_loss_cls: 0.1279 d1.dn_loss_bbox: 0.2255 d1.dn_loss_iou: 0.2469 d2.dn_loss_cls: 0.1139 d2.dn_loss_bbox: 0.2006 d2.dn_loss_iou: 0.2247 d3.dn_loss_cls: 0.1113 d3.dn_loss_bbox: 0.1937 d3.dn_loss_iou: 0.2174 d4.dn_loss_cls: 0.1052 d4.dn_loss_bbox: 0.1929 d4.dn_loss_iou: 0.2160 d1.loss_lmm_region: 0.1475 loss_lmm_image: 0.7369 +2024/11/08 11:35:59 - mmengine - INFO - Iter(train) [104600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:09:35 time: 1.0159 data_time: 0.0184 memory: 24102 grad_norm: 22.4098 loss: 9.6368 loss_cls: 0.2915 loss_bbox: 0.1553 loss_iou: 0.2525 d0.loss_cls: 0.3286 d0.loss_bbox: 0.1702 d0.loss_iou: 0.2753 d1.loss_cls: 0.3051 d1.loss_bbox: 0.1624 d1.loss_iou: 0.2626 d2.loss_cls: 0.2997 d2.loss_bbox: 0.1571 d2.loss_iou: 0.2534 d3.loss_cls: 0.2979 d3.loss_bbox: 0.1551 d3.loss_iou: 0.2550 d4.loss_cls: 0.2931 d4.loss_bbox: 0.1551 d4.loss_iou: 0.2520 enc_loss_cls: 0.3501 enc_loss_bbox: 0.1816 enc_loss_iou: 0.2936 dn_loss_cls: 0.0847 dn_loss_bbox: 0.1861 dn_loss_iou: 0.2393 d0.dn_loss_cls: 0.1733 d0.dn_loss_bbox: 0.3512 d0.dn_loss_iou: 0.3998 d1.dn_loss_cls: 0.1198 d1.dn_loss_bbox: 0.2254 d1.dn_loss_iou: 0.2775 d2.dn_loss_cls: 0.1011 d2.dn_loss_bbox: 0.1972 d2.dn_loss_iou: 0.2502 d3.dn_loss_cls: 0.0903 d3.dn_loss_bbox: 0.1873 d3.dn_loss_iou: 0.2412 d4.dn_loss_cls: 0.0851 d4.dn_loss_bbox: 0.1861 d4.dn_loss_iou: 0.2392 d1.loss_lmm_region: 0.1252 loss_lmm_image: 0.7296 +2024/11/08 11:37:41 - mmengine - INFO - Iter(train) [104700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:07:50 time: 1.0213 data_time: 0.0182 memory: 23633 grad_norm: 21.2034 loss: 10.2085 loss_cls: 0.3087 loss_bbox: 0.1720 loss_iou: 0.3160 d0.loss_cls: 0.3446 d0.loss_bbox: 0.1819 d0.loss_iou: 0.3319 d1.loss_cls: 0.3244 d1.loss_bbox: 0.1740 d1.loss_iou: 0.3193 d2.loss_cls: 0.3227 d2.loss_bbox: 0.1693 d2.loss_iou: 0.3124 d3.loss_cls: 0.3143 d3.loss_bbox: 0.1702 d3.loss_iou: 0.3120 d4.loss_cls: 0.3083 d4.loss_bbox: 0.1725 d4.loss_iou: 0.3162 enc_loss_cls: 0.3607 enc_loss_bbox: 0.2010 enc_loss_iou: 0.3527 dn_loss_cls: 0.0924 dn_loss_bbox: 0.1703 dn_loss_iou: 0.2447 d0.dn_loss_cls: 0.1710 d0.dn_loss_bbox: 0.3138 d0.dn_loss_iou: 0.3907 d1.dn_loss_cls: 0.1182 d1.dn_loss_bbox: 0.2025 d1.dn_loss_iou: 0.2793 d2.dn_loss_cls: 0.1019 d2.dn_loss_bbox: 0.1789 d2.dn_loss_iou: 0.2546 d3.dn_loss_cls: 0.0959 d3.dn_loss_bbox: 0.1719 d3.dn_loss_iou: 0.2465 d4.dn_loss_cls: 0.0918 d4.dn_loss_bbox: 0.1700 d4.dn_loss_iou: 0.2446 d1.loss_lmm_region: 0.1353 loss_lmm_image: 0.7492 +2024/11/08 11:39:23 - mmengine - INFO - Iter(train) [104800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:06:05 time: 1.0234 data_time: 0.0183 memory: 23508 grad_norm: 20.4635 loss: 8.5495 loss_cls: 0.2551 loss_bbox: 0.1264 loss_iou: 0.2025 d0.loss_cls: 0.2823 d0.loss_bbox: 0.1397 d0.loss_iou: 0.2203 d1.loss_cls: 0.2637 d1.loss_bbox: 0.1339 d1.loss_iou: 0.2121 d2.loss_cls: 0.2617 d2.loss_bbox: 0.1258 d2.loss_iou: 0.2053 d3.loss_cls: 0.2614 d3.loss_bbox: 0.1254 d3.loss_iou: 0.2006 d4.loss_cls: 0.2567 d4.loss_bbox: 0.1259 d4.loss_iou: 0.2022 enc_loss_cls: 0.3027 enc_loss_bbox: 0.1515 enc_loss_iou: 0.2399 dn_loss_cls: 0.0986 dn_loss_bbox: 0.1687 dn_loss_iou: 0.2007 d0.dn_loss_cls: 0.1781 d0.dn_loss_bbox: 0.3217 d0.dn_loss_iou: 0.3515 d1.dn_loss_cls: 0.1249 d1.dn_loss_bbox: 0.1957 d1.dn_loss_iou: 0.2303 d2.dn_loss_cls: 0.1145 d2.dn_loss_bbox: 0.1767 d2.dn_loss_iou: 0.2089 d3.dn_loss_cls: 0.1044 d3.dn_loss_bbox: 0.1700 d3.dn_loss_iou: 0.2021 d4.dn_loss_cls: 0.0985 d4.dn_loss_bbox: 0.1687 d4.dn_loss_iou: 0.2007 d1.loss_lmm_region: 0.1227 loss_lmm_image: 0.8168 +2024/11/08 11:41:06 - mmengine - INFO - Iter(train) [104900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:04:19 time: 1.0217 data_time: 0.0183 memory: 23989 grad_norm: 22.9423 loss: 8.4113 loss_cls: 0.2414 loss_bbox: 0.1301 loss_iou: 0.2539 d0.loss_cls: 0.2721 d0.loss_bbox: 0.1355 d0.loss_iou: 0.2674 d1.loss_cls: 0.2545 d1.loss_bbox: 0.1287 d1.loss_iou: 0.2549 d2.loss_cls: 0.2495 d2.loss_bbox: 0.1270 d2.loss_iou: 0.2518 d3.loss_cls: 0.2480 d3.loss_bbox: 0.1275 d3.loss_iou: 0.2489 d4.loss_cls: 0.2421 d4.loss_bbox: 0.1299 d4.loss_iou: 0.2527 enc_loss_cls: 0.2880 enc_loss_bbox: 0.1517 enc_loss_iou: 0.2894 dn_loss_cls: 0.0758 dn_loss_bbox: 0.1371 dn_loss_iou: 0.1983 d0.dn_loss_cls: 0.1582 d0.dn_loss_bbox: 0.2852 d0.dn_loss_iou: 0.3468 d1.dn_loss_cls: 0.1065 d1.dn_loss_bbox: 0.1722 d1.dn_loss_iou: 0.2309 d2.dn_loss_cls: 0.0895 d2.dn_loss_bbox: 0.1468 d2.dn_loss_iou: 0.2063 d3.dn_loss_cls: 0.0829 d3.dn_loss_bbox: 0.1391 d3.dn_loss_iou: 0.1999 d4.dn_loss_cls: 0.0759 d4.dn_loss_bbox: 0.1372 d4.dn_loss_iou: 0.1985 d1.loss_lmm_region: 0.1290 loss_lmm_image: 0.7504 +2024/11/08 11:42:47 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/08 11:42:47 - mmengine - INFO - Iter(train) [105000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:02:34 time: 1.0240 data_time: 0.0183 memory: 23368 grad_norm: 22.7504 loss: 8.2258 loss_cls: 0.2523 loss_bbox: 0.1125 loss_iou: 0.2223 d0.loss_cls: 0.2855 d0.loss_bbox: 0.1196 d0.loss_iou: 0.2344 d1.loss_cls: 0.2701 d1.loss_bbox: 0.1124 d1.loss_iou: 0.2214 d2.loss_cls: 0.2573 d2.loss_bbox: 0.1136 d2.loss_iou: 0.2201 d3.loss_cls: 0.2527 d3.loss_bbox: 0.1131 d3.loss_iou: 0.2210 d4.loss_cls: 0.2523 d4.loss_bbox: 0.1123 d4.loss_iou: 0.2209 enc_loss_cls: 0.3039 enc_loss_bbox: 0.1330 enc_loss_iou: 0.2538 dn_loss_cls: 0.0687 dn_loss_bbox: 0.1489 dn_loss_iou: 0.1916 d0.dn_loss_cls: 0.1614 d0.dn_loss_bbox: 0.3029 d0.dn_loss_iou: 0.3367 d1.dn_loss_cls: 0.0986 d1.dn_loss_bbox: 0.1839 d1.dn_loss_iou: 0.2243 d2.dn_loss_cls: 0.0817 d2.dn_loss_bbox: 0.1579 d2.dn_loss_iou: 0.2008 d3.dn_loss_cls: 0.0726 d3.dn_loss_bbox: 0.1510 d3.dn_loss_iou: 0.1931 d4.dn_loss_cls: 0.0690 d4.dn_loss_bbox: 0.1488 d4.dn_loss_iou: 0.1915 d1.loss_lmm_region: 0.1481 loss_lmm_image: 0.8098 +2024/11/08 11:44:30 - mmengine - INFO - Iter(train) [105100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:00:49 time: 1.0222 data_time: 0.0183 memory: 23444 grad_norm: 22.3039 loss: 8.4455 loss_cls: 0.2303 loss_bbox: 0.1267 loss_iou: 0.2104 d0.loss_cls: 0.2596 d0.loss_bbox: 0.1375 d0.loss_iou: 0.2220 d1.loss_cls: 0.2431 d1.loss_bbox: 0.1295 d1.loss_iou: 0.2154 d2.loss_cls: 0.2410 d2.loss_bbox: 0.1267 d2.loss_iou: 0.2101 d3.loss_cls: 0.2341 d3.loss_bbox: 0.1258 d3.loss_iou: 0.2100 d4.loss_cls: 0.2318 d4.loss_bbox: 0.1266 d4.loss_iou: 0.2101 enc_loss_cls: 0.2818 enc_loss_bbox: 0.1488 enc_loss_iou: 0.2423 dn_loss_cls: 0.0903 dn_loss_bbox: 0.1707 dn_loss_iou: 0.2154 d0.dn_loss_cls: 0.1655 d0.dn_loss_bbox: 0.3348 d0.dn_loss_iou: 0.3692 d1.dn_loss_cls: 0.1129 d1.dn_loss_bbox: 0.2094 d1.dn_loss_iou: 0.2490 d2.dn_loss_cls: 0.1009 d2.dn_loss_bbox: 0.1808 d2.dn_loss_iou: 0.2239 d3.dn_loss_cls: 0.0927 d3.dn_loss_bbox: 0.1715 d3.dn_loss_iou: 0.2165 d4.dn_loss_cls: 0.0908 d4.dn_loss_bbox: 0.1707 d4.dn_loss_iou: 0.2155 d1.loss_lmm_region: 0.1412 loss_lmm_image: 0.7605 +2024/11/08 11:46:13 - mmengine - INFO - Iter(train) [105200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:59:04 time: 1.0175 data_time: 0.0185 memory: 23636 grad_norm: 23.0346 loss: 10.6096 loss_cls: 0.3301 loss_bbox: 0.1825 loss_iou: 0.3090 d0.loss_cls: 0.3779 d0.loss_bbox: 0.1898 d0.loss_iou: 0.3268 d1.loss_cls: 0.3587 d1.loss_bbox: 0.1812 d1.loss_iou: 0.3141 d2.loss_cls: 0.3414 d2.loss_bbox: 0.1831 d2.loss_iou: 0.3125 d3.loss_cls: 0.3382 d3.loss_bbox: 0.1806 d3.loss_iou: 0.3096 d4.loss_cls: 0.3294 d4.loss_bbox: 0.1847 d4.loss_iou: 0.3096 enc_loss_cls: 0.3988 enc_loss_bbox: 0.2047 enc_loss_iou: 0.3474 dn_loss_cls: 0.0922 dn_loss_bbox: 0.1815 dn_loss_iou: 0.2407 d0.dn_loss_cls: 0.1957 d0.dn_loss_bbox: 0.3316 d0.dn_loss_iou: 0.3923 d1.dn_loss_cls: 0.1399 d1.dn_loss_bbox: 0.2162 d1.dn_loss_iou: 0.2758 d2.dn_loss_cls: 0.1149 d2.dn_loss_bbox: 0.1910 d2.dn_loss_iou: 0.2491 d3.dn_loss_cls: 0.0988 d3.dn_loss_bbox: 0.1832 d3.dn_loss_iou: 0.2423 d4.dn_loss_cls: 0.0937 d4.dn_loss_bbox: 0.1815 d4.dn_loss_iou: 0.2405 d1.loss_lmm_region: 0.1613 loss_lmm_image: 0.7774 +2024/11/08 11:47:55 - mmengine - INFO - Iter(train) [105300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:57:19 time: 1.0347 data_time: 0.0183 memory: 23282 grad_norm: 21.4655 loss: 9.5227 loss_cls: 0.2874 loss_bbox: 0.1406 loss_iou: 0.2457 d0.loss_cls: 0.3159 d0.loss_bbox: 0.1565 d0.loss_iou: 0.2660 d1.loss_cls: 0.3008 d1.loss_bbox: 0.1460 d1.loss_iou: 0.2526 d2.loss_cls: 0.2976 d2.loss_bbox: 0.1437 d2.loss_iou: 0.2464 d3.loss_cls: 0.2875 d3.loss_bbox: 0.1468 d3.loss_iou: 0.2483 d4.loss_cls: 0.2845 d4.loss_bbox: 0.1441 d4.loss_iou: 0.2468 enc_loss_cls: 0.3402 enc_loss_bbox: 0.1696 enc_loss_iou: 0.2845 dn_loss_cls: 0.0903 dn_loss_bbox: 0.1893 dn_loss_iou: 0.2311 d0.dn_loss_cls: 0.1836 d0.dn_loss_bbox: 0.3480 d0.dn_loss_iou: 0.3886 d1.dn_loss_cls: 0.1262 d1.dn_loss_bbox: 0.2243 d1.dn_loss_iou: 0.2666 d2.dn_loss_cls: 0.1077 d2.dn_loss_bbox: 0.1978 d2.dn_loss_iou: 0.2404 d3.dn_loss_cls: 0.0966 d3.dn_loss_bbox: 0.1902 d3.dn_loss_iou: 0.2323 d4.dn_loss_cls: 0.0907 d4.dn_loss_bbox: 0.1892 d4.dn_loss_iou: 0.2310 d1.loss_lmm_region: 0.1357 loss_lmm_image: 0.8116 +2024/11/08 11:49:38 - mmengine - INFO - Iter(train) [105400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:55:34 time: 1.0210 data_time: 0.0183 memory: 22414 grad_norm: 22.5596 loss: 8.9713 loss_cls: 0.2558 loss_bbox: 0.1384 loss_iou: 0.2536 d0.loss_cls: 0.2914 d0.loss_bbox: 0.1564 d0.loss_iou: 0.2732 d1.loss_cls: 0.2710 d1.loss_bbox: 0.1434 d1.loss_iou: 0.2610 d2.loss_cls: 0.2686 d2.loss_bbox: 0.1370 d2.loss_iou: 0.2559 d3.loss_cls: 0.2636 d3.loss_bbox: 0.1352 d3.loss_iou: 0.2526 d4.loss_cls: 0.2585 d4.loss_bbox: 0.1375 d4.loss_iou: 0.2522 enc_loss_cls: 0.3131 enc_loss_bbox: 0.1638 enc_loss_iou: 0.2897 dn_loss_cls: 0.0638 dn_loss_bbox: 0.1672 dn_loss_iou: 0.2305 d0.dn_loss_cls: 0.1490 d0.dn_loss_bbox: 0.3175 d0.dn_loss_iou: 0.3800 d1.dn_loss_cls: 0.0935 d1.dn_loss_bbox: 0.1989 d1.dn_loss_iou: 0.2631 d2.dn_loss_cls: 0.0762 d2.dn_loss_bbox: 0.1764 d2.dn_loss_iou: 0.2390 d3.dn_loss_cls: 0.0688 d3.dn_loss_bbox: 0.1686 d3.dn_loss_iou: 0.2317 d4.dn_loss_cls: 0.0643 d4.dn_loss_bbox: 0.1672 d4.dn_loss_iou: 0.2305 d1.loss_lmm_region: 0.1191 loss_lmm_image: 0.7939 +2024/11/08 11:51:20 - mmengine - INFO - Iter(train) [105500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:53:48 time: 1.0136 data_time: 0.0183 memory: 24351 grad_norm: 22.5481 loss: 9.2975 loss_cls: 0.3118 loss_bbox: 0.1370 loss_iou: 0.2280 d0.loss_cls: 0.3484 d0.loss_bbox: 0.1474 d0.loss_iou: 0.2415 d1.loss_cls: 0.3298 d1.loss_bbox: 0.1399 d1.loss_iou: 0.2291 d2.loss_cls: 0.3242 d2.loss_bbox: 0.1368 d2.loss_iou: 0.2252 d3.loss_cls: 0.3163 d3.loss_bbox: 0.1374 d3.loss_iou: 0.2282 d4.loss_cls: 0.3168 d4.loss_bbox: 0.1359 d4.loss_iou: 0.2280 enc_loss_cls: 0.3524 enc_loss_bbox: 0.1629 enc_loss_iou: 0.2677 dn_loss_cls: 0.0934 dn_loss_bbox: 0.1711 dn_loss_iou: 0.2158 d0.dn_loss_cls: 0.1832 d0.dn_loss_bbox: 0.3265 d0.dn_loss_iou: 0.3718 d1.dn_loss_cls: 0.1288 d1.dn_loss_bbox: 0.2072 d1.dn_loss_iou: 0.2529 d2.dn_loss_cls: 0.1094 d2.dn_loss_bbox: 0.1806 d2.dn_loss_iou: 0.2266 d3.dn_loss_cls: 0.1003 d3.dn_loss_bbox: 0.1721 d3.dn_loss_iou: 0.2175 d4.dn_loss_cls: 0.0949 d4.dn_loss_bbox: 0.1711 d4.dn_loss_iou: 0.2158 d1.loss_lmm_region: 0.1286 loss_lmm_image: 0.7855 +2024/11/08 11:53:03 - mmengine - INFO - Iter(train) [105600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:52:03 time: 1.0200 data_time: 0.0181 memory: 23818 grad_norm: 23.9591 loss: 8.8400 loss_cls: 0.2684 loss_bbox: 0.1339 loss_iou: 0.2566 d0.loss_cls: 0.2996 d0.loss_bbox: 0.1449 d0.loss_iou: 0.2692 d1.loss_cls: 0.2834 d1.loss_bbox: 0.1358 d1.loss_iou: 0.2609 d2.loss_cls: 0.2788 d2.loss_bbox: 0.1322 d2.loss_iou: 0.2581 d3.loss_cls: 0.2754 d3.loss_bbox: 0.1331 d3.loss_iou: 0.2560 d4.loss_cls: 0.2693 d4.loss_bbox: 0.1342 d4.loss_iou: 0.2565 enc_loss_cls: 0.3219 enc_loss_bbox: 0.1520 enc_loss_iou: 0.2883 dn_loss_cls: 0.0825 dn_loss_bbox: 0.1475 dn_loss_iou: 0.2094 d0.dn_loss_cls: 0.1582 d0.dn_loss_bbox: 0.2904 d0.dn_loss_iou: 0.3554 d1.dn_loss_cls: 0.1049 d1.dn_loss_bbox: 0.1755 d1.dn_loss_iou: 0.2395 d2.dn_loss_cls: 0.0906 d2.dn_loss_bbox: 0.1532 d2.dn_loss_iou: 0.2158 d3.dn_loss_cls: 0.0859 d3.dn_loss_bbox: 0.1479 d3.dn_loss_iou: 0.2106 d4.dn_loss_cls: 0.0825 d4.dn_loss_bbox: 0.1475 d4.dn_loss_iou: 0.2095 d1.loss_lmm_region: 0.1342 loss_lmm_image: 0.7903 +2024/11/08 11:54:45 - mmengine - INFO - Iter(train) [105700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:50:18 time: 1.0243 data_time: 0.0183 memory: 23062 grad_norm: 22.5992 loss: 9.3050 loss_cls: 0.2735 loss_bbox: 0.1401 loss_iou: 0.2595 d0.loss_cls: 0.2983 d0.loss_bbox: 0.1544 d0.loss_iou: 0.2786 d1.loss_cls: 0.2925 d1.loss_bbox: 0.1406 d1.loss_iou: 0.2638 d2.loss_cls: 0.2843 d2.loss_bbox: 0.1397 d2.loss_iou: 0.2610 d3.loss_cls: 0.2803 d3.loss_bbox: 0.1405 d3.loss_iou: 0.2582 d4.loss_cls: 0.2744 d4.loss_bbox: 0.1415 d4.loss_iou: 0.2591 enc_loss_cls: 0.3197 enc_loss_bbox: 0.1603 enc_loss_iou: 0.2897 dn_loss_cls: 0.0901 dn_loss_bbox: 0.1671 dn_loss_iou: 0.2379 d0.dn_loss_cls: 0.1733 d0.dn_loss_bbox: 0.3120 d0.dn_loss_iou: 0.3831 d1.dn_loss_cls: 0.1245 d1.dn_loss_bbox: 0.1982 d1.dn_loss_iou: 0.2709 d2.dn_loss_cls: 0.1085 d2.dn_loss_bbox: 0.1755 d2.dn_loss_iou: 0.2452 d3.dn_loss_cls: 0.0954 d3.dn_loss_bbox: 0.1687 d3.dn_loss_iou: 0.2391 d4.dn_loss_cls: 0.0912 d4.dn_loss_bbox: 0.1673 d4.dn_loss_iou: 0.2378 d1.loss_lmm_region: 0.1269 loss_lmm_image: 0.7823 +2024/11/08 11:56:28 - mmengine - INFO - Iter(train) [105800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:48:33 time: 1.0279 data_time: 0.0182 memory: 24871 grad_norm: 21.0936 loss: 9.9502 loss_cls: 0.2764 loss_bbox: 0.1577 loss_iou: 0.2768 d0.loss_cls: 0.3095 d0.loss_bbox: 0.1797 d0.loss_iou: 0.2974 d1.loss_cls: 0.2952 d1.loss_bbox: 0.1675 d1.loss_iou: 0.2825 d2.loss_cls: 0.2879 d2.loss_bbox: 0.1605 d2.loss_iou: 0.2773 d3.loss_cls: 0.2808 d3.loss_bbox: 0.1580 d3.loss_iou: 0.2768 d4.loss_cls: 0.2785 d4.loss_bbox: 0.1561 d4.loss_iou: 0.2763 enc_loss_cls: 0.3243 enc_loss_bbox: 0.1902 enc_loss_iou: 0.3203 dn_loss_cls: 0.1003 dn_loss_bbox: 0.1972 dn_loss_iou: 0.2440 d0.dn_loss_cls: 0.1900 d0.dn_loss_bbox: 0.3620 d0.dn_loss_iou: 0.4057 d1.dn_loss_cls: 0.1359 d1.dn_loss_bbox: 0.2316 d1.dn_loss_iou: 0.2783 d2.dn_loss_cls: 0.1230 d2.dn_loss_bbox: 0.2062 d2.dn_loss_iou: 0.2520 d3.dn_loss_cls: 0.1096 d3.dn_loss_bbox: 0.1976 d3.dn_loss_iou: 0.2450 d4.dn_loss_cls: 0.1031 d4.dn_loss_bbox: 0.1969 d4.dn_loss_iou: 0.2439 d1.loss_lmm_region: 0.1387 loss_lmm_image: 0.7594 +2024/11/08 11:58:09 - mmengine - INFO - Iter(train) [105900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:46:48 time: 1.0176 data_time: 0.0181 memory: 23778 grad_norm: 21.1678 loss: 9.5463 loss_cls: 0.2844 loss_bbox: 0.1486 loss_iou: 0.2768 d0.loss_cls: 0.3192 d0.loss_bbox: 0.1626 d0.loss_iou: 0.2951 d1.loss_cls: 0.3010 d1.loss_bbox: 0.1577 d1.loss_iou: 0.2889 d2.loss_cls: 0.2891 d2.loss_bbox: 0.1523 d2.loss_iou: 0.2835 d3.loss_cls: 0.2874 d3.loss_bbox: 0.1477 d3.loss_iou: 0.2785 d4.loss_cls: 0.2836 d4.loss_bbox: 0.1496 d4.loss_iou: 0.2775 enc_loss_cls: 0.3342 enc_loss_bbox: 0.1807 enc_loss_iou: 0.3200 dn_loss_cls: 0.0941 dn_loss_bbox: 0.1681 dn_loss_iou: 0.2278 d0.dn_loss_cls: 0.1688 d0.dn_loss_bbox: 0.3199 d0.dn_loss_iou: 0.3785 d1.dn_loss_cls: 0.1214 d1.dn_loss_bbox: 0.2023 d1.dn_loss_iou: 0.2606 d2.dn_loss_cls: 0.1084 d2.dn_loss_bbox: 0.1772 d2.dn_loss_iou: 0.2366 d3.dn_loss_cls: 0.0981 d3.dn_loss_bbox: 0.1691 d3.dn_loss_iou: 0.2291 d4.dn_loss_cls: 0.0954 d4.dn_loss_bbox: 0.1682 d4.dn_loss_iou: 0.2277 d1.loss_lmm_region: 0.1099 loss_lmm_image: 0.7671 +2024/11/08 11:59:52 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/08 11:59:52 - mmengine - INFO - Iter(train) [106000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:45:02 time: 1.0192 data_time: 0.0182 memory: 24627 grad_norm: 22.4714 loss: 9.1206 loss_cls: 0.2864 loss_bbox: 0.1432 loss_iou: 0.2745 d0.loss_cls: 0.3184 d0.loss_bbox: 0.1554 d0.loss_iou: 0.2932 d1.loss_cls: 0.3053 d1.loss_bbox: 0.1419 d1.loss_iou: 0.2801 d2.loss_cls: 0.3031 d2.loss_bbox: 0.1373 d2.loss_iou: 0.2701 d3.loss_cls: 0.2947 d3.loss_bbox: 0.1355 d3.loss_iou: 0.2701 d4.loss_cls: 0.2876 d4.loss_bbox: 0.1429 d4.loss_iou: 0.2721 enc_loss_cls: 0.3457 enc_loss_bbox: 0.1701 enc_loss_iou: 0.3141 dn_loss_cls: 0.0714 dn_loss_bbox: 0.1558 dn_loss_iou: 0.2129 d0.dn_loss_cls: 0.1484 d0.dn_loss_bbox: 0.2862 d0.dn_loss_iou: 0.3519 d1.dn_loss_cls: 0.0949 d1.dn_loss_bbox: 0.1833 d1.dn_loss_iou: 0.2444 d2.dn_loss_cls: 0.0802 d2.dn_loss_bbox: 0.1647 d2.dn_loss_iou: 0.2213 d3.dn_loss_cls: 0.0737 d3.dn_loss_bbox: 0.1577 d3.dn_loss_iou: 0.2147 d4.dn_loss_cls: 0.0704 d4.dn_loss_bbox: 0.1557 d4.dn_loss_iou: 0.2128 d1.loss_lmm_region: 0.1156 loss_lmm_image: 0.7629 +2024/11/08 12:01:34 - mmengine - INFO - Iter(train) [106100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:43:17 time: 1.0222 data_time: 0.0183 memory: 23293 grad_norm: 28.0135 loss: 10.3014 loss_cls: 0.3145 loss_bbox: 0.1570 loss_iou: 0.3146 d0.loss_cls: 0.3378 d0.loss_bbox: 0.1764 d0.loss_iou: 0.3440 d1.loss_cls: 0.3285 d1.loss_bbox: 0.1655 d1.loss_iou: 0.3267 d2.loss_cls: 0.3240 d2.loss_bbox: 0.1616 d2.loss_iou: 0.3186 d3.loss_cls: 0.3196 d3.loss_bbox: 0.1601 d3.loss_iou: 0.3167 d4.loss_cls: 0.3136 d4.loss_bbox: 0.1583 d4.loss_iou: 0.3155 enc_loss_cls: 0.3634 enc_loss_bbox: 0.1879 enc_loss_iou: 0.3642 dn_loss_cls: 0.0841 dn_loss_bbox: 0.1757 dn_loss_iou: 0.2599 d0.dn_loss_cls: 0.1801 d0.dn_loss_bbox: 0.3178 d0.dn_loss_iou: 0.4066 d1.dn_loss_cls: 0.1179 d1.dn_loss_bbox: 0.2092 d1.dn_loss_iou: 0.2927 d2.dn_loss_cls: 0.1016 d2.dn_loss_bbox: 0.1847 d2.dn_loss_iou: 0.2679 d3.dn_loss_cls: 0.0909 d3.dn_loss_bbox: 0.1769 d3.dn_loss_iou: 0.2615 d4.dn_loss_cls: 0.0850 d4.dn_loss_bbox: 0.1757 d4.dn_loss_iou: 0.2596 d1.loss_lmm_region: 0.1276 loss_lmm_image: 0.7573 +2024/11/08 12:03:16 - mmengine - INFO - Iter(train) [106200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:41:32 time: 1.0170 data_time: 0.0182 memory: 23563 grad_norm: 22.0240 loss: 9.8587 loss_cls: 0.3103 loss_bbox: 0.1525 loss_iou: 0.2749 d0.loss_cls: 0.3434 d0.loss_bbox: 0.1691 d0.loss_iou: 0.2890 d1.loss_cls: 0.3275 d1.loss_bbox: 0.1564 d1.loss_iou: 0.2770 d2.loss_cls: 0.3184 d2.loss_bbox: 0.1581 d2.loss_iou: 0.2751 d3.loss_cls: 0.3140 d3.loss_bbox: 0.1549 d3.loss_iou: 0.2758 d4.loss_cls: 0.3108 d4.loss_bbox: 0.1531 d4.loss_iou: 0.2762 enc_loss_cls: 0.3609 enc_loss_bbox: 0.1774 enc_loss_iou: 0.3077 dn_loss_cls: 0.0894 dn_loss_bbox: 0.1813 dn_loss_iou: 0.2298 d0.dn_loss_cls: 0.1779 d0.dn_loss_bbox: 0.3296 d0.dn_loss_iou: 0.3788 d1.dn_loss_cls: 0.1220 d1.dn_loss_bbox: 0.2195 d1.dn_loss_iou: 0.2653 d2.dn_loss_cls: 0.1006 d2.dn_loss_bbox: 0.1924 d2.dn_loss_iou: 0.2405 d3.dn_loss_cls: 0.0902 d3.dn_loss_bbox: 0.1825 d3.dn_loss_iou: 0.2314 d4.dn_loss_cls: 0.0896 d4.dn_loss_bbox: 0.1814 d4.dn_loss_iou: 0.2298 d1.loss_lmm_region: 0.1506 loss_lmm_image: 0.7934 +2024/11/08 12:05:00 - mmengine - INFO - Iter(train) [106300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:39:48 time: 1.0441 data_time: 0.0184 memory: 22794 grad_norm: 21.2624 loss: 9.2123 loss_cls: 0.2710 loss_bbox: 0.1387 loss_iou: 0.2288 d0.loss_cls: 0.2995 d0.loss_bbox: 0.1548 d0.loss_iou: 0.2488 d1.loss_cls: 0.2851 d1.loss_bbox: 0.1420 d1.loss_iou: 0.2329 d2.loss_cls: 0.2790 d2.loss_bbox: 0.1391 d2.loss_iou: 0.2289 d3.loss_cls: 0.2769 d3.loss_bbox: 0.1379 d3.loss_iou: 0.2273 d4.loss_cls: 0.2729 d4.loss_bbox: 0.1386 d4.loss_iou: 0.2290 enc_loss_cls: 0.3266 enc_loss_bbox: 0.1609 enc_loss_iou: 0.2602 dn_loss_cls: 0.0892 dn_loss_bbox: 0.2055 dn_loss_iou: 0.2277 d0.dn_loss_cls: 0.1721 d0.dn_loss_bbox: 0.3777 d0.dn_loss_iou: 0.3856 d1.dn_loss_cls: 0.1127 d1.dn_loss_bbox: 0.2419 d1.dn_loss_iou: 0.2611 d2.dn_loss_cls: 0.1010 d2.dn_loss_bbox: 0.2131 d2.dn_loss_iou: 0.2356 d3.dn_loss_cls: 0.0921 d3.dn_loss_bbox: 0.2079 d3.dn_loss_iou: 0.2289 d4.dn_loss_cls: 0.0893 d4.dn_loss_bbox: 0.2054 d4.dn_loss_iou: 0.2277 d1.loss_lmm_region: 0.1240 loss_lmm_image: 0.7351 +2024/11/08 12:06:43 - mmengine - INFO - Iter(train) [106400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:38:03 time: 1.0249 data_time: 0.0182 memory: 23871 grad_norm: 20.6642 loss: 9.5258 loss_cls: 0.2929 loss_bbox: 0.1435 loss_iou: 0.2682 d0.loss_cls: 0.3286 d0.loss_bbox: 0.1616 d0.loss_iou: 0.2901 d1.loss_cls: 0.3147 d1.loss_bbox: 0.1488 d1.loss_iou: 0.2732 d2.loss_cls: 0.3055 d2.loss_bbox: 0.1464 d2.loss_iou: 0.2698 d3.loss_cls: 0.3000 d3.loss_bbox: 0.1417 d3.loss_iou: 0.2666 d4.loss_cls: 0.2966 d4.loss_bbox: 0.1408 d4.loss_iou: 0.2669 enc_loss_cls: 0.3542 enc_loss_bbox: 0.1695 enc_loss_iou: 0.3124 dn_loss_cls: 0.0969 dn_loss_bbox: 0.1653 dn_loss_iou: 0.2168 d0.dn_loss_cls: 0.1769 d0.dn_loss_bbox: 0.3215 d0.dn_loss_iou: 0.3680 d1.dn_loss_cls: 0.1210 d1.dn_loss_bbox: 0.1967 d1.dn_loss_iou: 0.2522 d2.dn_loss_cls: 0.1040 d2.dn_loss_bbox: 0.1733 d2.dn_loss_iou: 0.2266 d3.dn_loss_cls: 0.0986 d3.dn_loss_bbox: 0.1660 d3.dn_loss_iou: 0.2185 d4.dn_loss_cls: 0.0969 d4.dn_loss_bbox: 0.1653 d4.dn_loss_iou: 0.2168 d1.loss_lmm_region: 0.1206 loss_lmm_image: 0.8320 +2024/11/08 12:08:26 - mmengine - INFO - Iter(train) [106500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:36:18 time: 1.0259 data_time: 0.0181 memory: 24162 grad_norm: 21.2126 loss: 10.0003 loss_cls: 0.3378 loss_bbox: 0.1569 loss_iou: 0.2947 d0.loss_cls: 0.3713 d0.loss_bbox: 0.1709 d0.loss_iou: 0.3221 d1.loss_cls: 0.3554 d1.loss_bbox: 0.1608 d1.loss_iou: 0.3074 d2.loss_cls: 0.3468 d2.loss_bbox: 0.1601 d2.loss_iou: 0.3015 d3.loss_cls: 0.3408 d3.loss_bbox: 0.1585 d3.loss_iou: 0.2992 d4.loss_cls: 0.3378 d4.loss_bbox: 0.1574 d4.loss_iou: 0.2963 enc_loss_cls: 0.3857 enc_loss_bbox: 0.1918 enc_loss_iou: 0.3487 dn_loss_cls: 0.0870 dn_loss_bbox: 0.1581 dn_loss_iou: 0.2127 d0.dn_loss_cls: 0.1694 d0.dn_loss_bbox: 0.3136 d0.dn_loss_iou: 0.3688 d1.dn_loss_cls: 0.1175 d1.dn_loss_bbox: 0.1903 d1.dn_loss_iou: 0.2476 d2.dn_loss_cls: 0.1006 d2.dn_loss_bbox: 0.1654 d2.dn_loss_iou: 0.2215 d3.dn_loss_cls: 0.0917 d3.dn_loss_bbox: 0.1585 d3.dn_loss_iou: 0.2138 d4.dn_loss_cls: 0.0885 d4.dn_loss_bbox: 0.1581 d4.dn_loss_iou: 0.2126 d1.loss_lmm_region: 0.1291 loss_lmm_image: 0.7936 +2024/11/08 12:10:08 - mmengine - INFO - Iter(train) [106600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:34:33 time: 1.0206 data_time: 0.0182 memory: 23477 grad_norm: 23.1923 loss: 9.6354 loss_cls: 0.3274 loss_bbox: 0.1466 loss_iou: 0.2823 d0.loss_cls: 0.3682 d0.loss_bbox: 0.1641 d0.loss_iou: 0.3101 d1.loss_cls: 0.3461 d1.loss_bbox: 0.1469 d1.loss_iou: 0.2915 d2.loss_cls: 0.3372 d2.loss_bbox: 0.1440 d2.loss_iou: 0.2840 d3.loss_cls: 0.3342 d3.loss_bbox: 0.1441 d3.loss_iou: 0.2809 d4.loss_cls: 0.3283 d4.loss_bbox: 0.1458 d4.loss_iou: 0.2814 enc_loss_cls: 0.3869 enc_loss_bbox: 0.1754 enc_loss_iou: 0.3343 dn_loss_cls: 0.0862 dn_loss_bbox: 0.1445 dn_loss_iou: 0.2107 d0.dn_loss_cls: 0.1725 d0.dn_loss_bbox: 0.2688 d0.dn_loss_iou: 0.3486 d1.dn_loss_cls: 0.1190 d1.dn_loss_bbox: 0.1725 d1.dn_loss_iou: 0.2413 d2.dn_loss_cls: 0.1021 d2.dn_loss_bbox: 0.1508 d2.dn_loss_iou: 0.2185 d3.dn_loss_cls: 0.0927 d3.dn_loss_bbox: 0.1454 d3.dn_loss_iou: 0.2117 d4.dn_loss_cls: 0.0871 d4.dn_loss_bbox: 0.1446 d4.dn_loss_iou: 0.2107 d1.loss_lmm_region: 0.1320 loss_lmm_image: 0.8161 +2024/11/08 12:11:51 - mmengine - INFO - Iter(train) [106700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:32:48 time: 1.0285 data_time: 0.0183 memory: 24174 grad_norm: 20.6860 loss: 9.7340 loss_cls: 0.3109 loss_bbox: 0.1598 loss_iou: 0.2689 d0.loss_cls: 0.3521 d0.loss_bbox: 0.1763 d0.loss_iou: 0.2905 d1.loss_cls: 0.3250 d1.loss_bbox: 0.1716 d1.loss_iou: 0.2803 d2.loss_cls: 0.3234 d2.loss_bbox: 0.1621 d2.loss_iou: 0.2723 d3.loss_cls: 0.3178 d3.loss_bbox: 0.1604 d3.loss_iou: 0.2695 d4.loss_cls: 0.3115 d4.loss_bbox: 0.1597 d4.loss_iou: 0.2691 enc_loss_cls: 0.3754 enc_loss_bbox: 0.1861 enc_loss_iou: 0.3116 dn_loss_cls: 0.0919 dn_loss_bbox: 0.1679 dn_loss_iou: 0.2138 d0.dn_loss_cls: 0.1771 d0.dn_loss_bbox: 0.3018 d0.dn_loss_iou: 0.3555 d1.dn_loss_cls: 0.1263 d1.dn_loss_bbox: 0.2011 d1.dn_loss_iou: 0.2466 d2.dn_loss_cls: 0.1111 d2.dn_loss_bbox: 0.1766 d2.dn_loss_iou: 0.2227 d3.dn_loss_cls: 0.0987 d3.dn_loss_bbox: 0.1691 d3.dn_loss_iou: 0.2151 d4.dn_loss_cls: 0.0929 d4.dn_loss_bbox: 0.1679 d4.dn_loss_iou: 0.2137 d1.loss_lmm_region: 0.1284 loss_lmm_image: 0.8016 +2024/11/08 12:13:34 - mmengine - INFO - Iter(train) [106800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:31:03 time: 1.0206 data_time: 0.0184 memory: 23520 grad_norm: 22.2610 loss: 10.2678 loss_cls: 0.3032 loss_bbox: 0.1891 loss_iou: 0.3003 d0.loss_cls: 0.3454 d0.loss_bbox: 0.1990 d0.loss_iou: 0.3130 d1.loss_cls: 0.3239 d1.loss_bbox: 0.1912 d1.loss_iou: 0.3032 d2.loss_cls: 0.3153 d2.loss_bbox: 0.1895 d2.loss_iou: 0.3006 d3.loss_cls: 0.3119 d3.loss_bbox: 0.1901 d3.loss_iou: 0.3008 d4.loss_cls: 0.3068 d4.loss_bbox: 0.1886 d4.loss_iou: 0.3007 enc_loss_cls: 0.3687 enc_loss_bbox: 0.2073 enc_loss_iou: 0.3277 dn_loss_cls: 0.0819 dn_loss_bbox: 0.1943 dn_loss_iou: 0.2351 d0.dn_loss_cls: 0.1691 d0.dn_loss_bbox: 0.3538 d0.dn_loss_iou: 0.3827 d1.dn_loss_cls: 0.1128 d1.dn_loss_bbox: 0.2313 d1.dn_loss_iou: 0.2671 d2.dn_loss_cls: 0.0967 d2.dn_loss_bbox: 0.2049 d2.dn_loss_iou: 0.2433 d3.dn_loss_cls: 0.0877 d3.dn_loss_bbox: 0.1963 d3.dn_loss_iou: 0.2363 d4.dn_loss_cls: 0.0826 d4.dn_loss_bbox: 0.1943 d4.dn_loss_iou: 0.2349 d1.loss_lmm_region: 0.1237 loss_lmm_image: 0.7623 +2024/11/08 12:15:16 - mmengine - INFO - Iter(train) [106900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:29:18 time: 1.0326 data_time: 0.0184 memory: 22892 grad_norm: 21.6586 loss: 8.6953 loss_cls: 0.2578 loss_bbox: 0.1227 loss_iou: 0.2182 d0.loss_cls: 0.2861 d0.loss_bbox: 0.1357 d0.loss_iou: 0.2333 d1.loss_cls: 0.2739 d1.loss_bbox: 0.1252 d1.loss_iou: 0.2212 d2.loss_cls: 0.2662 d2.loss_bbox: 0.1210 d2.loss_iou: 0.2155 d3.loss_cls: 0.2604 d3.loss_bbox: 0.1220 d3.loss_iou: 0.2165 d4.loss_cls: 0.2603 d4.loss_bbox: 0.1212 d4.loss_iou: 0.2170 enc_loss_cls: 0.3112 enc_loss_bbox: 0.1473 enc_loss_iou: 0.2501 dn_loss_cls: 0.0837 dn_loss_bbox: 0.1781 dn_loss_iou: 0.2203 d0.dn_loss_cls: 0.1736 d0.dn_loss_bbox: 0.3600 d0.dn_loss_iou: 0.3745 d1.dn_loss_cls: 0.1167 d1.dn_loss_bbox: 0.2186 d1.dn_loss_iou: 0.2533 d2.dn_loss_cls: 0.1004 d2.dn_loss_bbox: 0.1872 d2.dn_loss_iou: 0.2283 d3.dn_loss_cls: 0.0936 d3.dn_loss_bbox: 0.1807 d3.dn_loss_iou: 0.2222 d4.dn_loss_cls: 0.0839 d4.dn_loss_bbox: 0.1780 d4.dn_loss_iou: 0.2200 d1.loss_lmm_region: 0.1272 loss_lmm_image: 0.7121 +2024/11/08 12:16:59 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/08 12:16:59 - mmengine - INFO - Iter(train) [107000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:27:33 time: 1.0347 data_time: 0.0182 memory: 23595 grad_norm: 21.9203 loss: 10.4425 loss_cls: 0.3302 loss_bbox: 0.1679 loss_iou: 0.3149 d0.loss_cls: 0.3762 d0.loss_bbox: 0.1845 d0.loss_iou: 0.3330 d1.loss_cls: 0.3504 d1.loss_bbox: 0.1776 d1.loss_iou: 0.3243 d2.loss_cls: 0.3421 d2.loss_bbox: 0.1689 d2.loss_iou: 0.3162 d3.loss_cls: 0.3403 d3.loss_bbox: 0.1641 d3.loss_iou: 0.3142 d4.loss_cls: 0.3348 d4.loss_bbox: 0.1649 d4.loss_iou: 0.3144 enc_loss_cls: 0.3952 enc_loss_bbox: 0.1989 enc_loss_iou: 0.3566 dn_loss_cls: 0.0852 dn_loss_bbox: 0.1830 dn_loss_iou: 0.2441 d0.dn_loss_cls: 0.1669 d0.dn_loss_bbox: 0.3423 d0.dn_loss_iou: 0.3930 d1.dn_loss_cls: 0.1155 d1.dn_loss_bbox: 0.2131 d1.dn_loss_iou: 0.2742 d2.dn_loss_cls: 0.0985 d2.dn_loss_bbox: 0.1904 d2.dn_loss_iou: 0.2507 d3.dn_loss_cls: 0.0901 d3.dn_loss_bbox: 0.1835 d3.dn_loss_iou: 0.2450 d4.dn_loss_cls: 0.0869 d4.dn_loss_bbox: 0.1830 d4.dn_loss_iou: 0.2441 d1.loss_lmm_region: 0.1183 loss_lmm_image: 0.7651 +2024/11/08 12:18:42 - mmengine - INFO - Iter(train) [107100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:25:48 time: 1.0303 data_time: 0.0185 memory: 23510 grad_norm: 21.5524 loss: 11.4136 loss_cls: 0.3506 loss_bbox: 0.2023 loss_iou: 0.3689 d0.loss_cls: 0.4029 d0.loss_bbox: 0.2146 d0.loss_iou: 0.3848 d1.loss_cls: 0.3778 d1.loss_bbox: 0.2027 d1.loss_iou: 0.3713 d2.loss_cls: 0.3668 d2.loss_bbox: 0.2031 d2.loss_iou: 0.3719 d3.loss_cls: 0.3618 d3.loss_bbox: 0.2031 d3.loss_iou: 0.3671 d4.loss_cls: 0.3533 d4.loss_bbox: 0.2029 d4.loss_iou: 0.3687 enc_loss_cls: 0.4294 enc_loss_bbox: 0.2287 enc_loss_iou: 0.4140 dn_loss_cls: 0.0848 dn_loss_bbox: 0.1842 dn_loss_iou: 0.2608 d0.dn_loss_cls: 0.1947 d0.dn_loss_bbox: 0.3410 d0.dn_loss_iou: 0.4214 d1.dn_loss_cls: 0.1278 d1.dn_loss_bbox: 0.2189 d1.dn_loss_iou: 0.2973 d2.dn_loss_cls: 0.1041 d2.dn_loss_bbox: 0.1915 d2.dn_loss_iou: 0.2704 d3.dn_loss_cls: 0.0929 d3.dn_loss_bbox: 0.1854 d3.dn_loss_iou: 0.2625 d4.dn_loss_cls: 0.0864 d4.dn_loss_bbox: 0.1842 d4.dn_loss_iou: 0.2607 d1.loss_lmm_region: 0.1397 loss_lmm_image: 0.7582 +2024/11/08 12:20:24 - mmengine - INFO - Iter(train) [107200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:24:03 time: 1.0299 data_time: 0.0183 memory: 23447 grad_norm: 22.3479 loss: 9.0805 loss_cls: 0.2557 loss_bbox: 0.1374 loss_iou: 0.2446 d0.loss_cls: 0.2905 d0.loss_bbox: 0.1490 d0.loss_iou: 0.2645 d1.loss_cls: 0.2715 d1.loss_bbox: 0.1413 d1.loss_iou: 0.2523 d2.loss_cls: 0.2626 d2.loss_bbox: 0.1402 d2.loss_iou: 0.2482 d3.loss_cls: 0.2570 d3.loss_bbox: 0.1371 d3.loss_iou: 0.2445 d4.loss_cls: 0.2572 d4.loss_bbox: 0.1356 d4.loss_iou: 0.2431 enc_loss_cls: 0.3062 enc_loss_bbox: 0.1675 enc_loss_iou: 0.2834 dn_loss_cls: 0.0874 dn_loss_bbox: 0.1774 dn_loss_iou: 0.2257 d0.dn_loss_cls: 0.1660 d0.dn_loss_bbox: 0.3392 d0.dn_loss_iou: 0.3734 d1.dn_loss_cls: 0.1115 d1.dn_loss_bbox: 0.2171 d1.dn_loss_iou: 0.2610 d2.dn_loss_cls: 0.0981 d2.dn_loss_bbox: 0.1891 d2.dn_loss_iou: 0.2356 d3.dn_loss_cls: 0.0918 d3.dn_loss_bbox: 0.1796 d3.dn_loss_iou: 0.2272 d4.dn_loss_cls: 0.0878 d4.dn_loss_bbox: 0.1773 d4.dn_loss_iou: 0.2257 d1.loss_lmm_region: 0.1386 loss_lmm_image: 0.7815 +2024/11/08 12:22:07 - mmengine - INFO - Iter(train) [107300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:22:18 time: 1.0156 data_time: 0.0182 memory: 24619 grad_norm: 20.7585 loss: 9.2683 loss_cls: 0.2907 loss_bbox: 0.1294 loss_iou: 0.2376 d0.loss_cls: 0.3265 d0.loss_bbox: 0.1397 d0.loss_iou: 0.2505 d1.loss_cls: 0.3046 d1.loss_bbox: 0.1365 d1.loss_iou: 0.2441 d2.loss_cls: 0.3033 d2.loss_bbox: 0.1298 d2.loss_iou: 0.2370 d3.loss_cls: 0.2970 d3.loss_bbox: 0.1295 d3.loss_iou: 0.2359 d4.loss_cls: 0.2917 d4.loss_bbox: 0.1288 d4.loss_iou: 0.2356 enc_loss_cls: 0.3334 enc_loss_bbox: 0.1534 enc_loss_iou: 0.2745 dn_loss_cls: 0.0951 dn_loss_bbox: 0.1721 dn_loss_iou: 0.2327 d0.dn_loss_cls: 0.1888 d0.dn_loss_bbox: 0.3279 d0.dn_loss_iou: 0.3881 d1.dn_loss_cls: 0.1329 d1.dn_loss_bbox: 0.2087 d1.dn_loss_iou: 0.2710 d2.dn_loss_cls: 0.1109 d2.dn_loss_bbox: 0.1830 d2.dn_loss_iou: 0.2440 d3.dn_loss_cls: 0.1031 d3.dn_loss_bbox: 0.1731 d3.dn_loss_iou: 0.2345 d4.dn_loss_cls: 0.0958 d4.dn_loss_bbox: 0.1721 d4.dn_loss_iou: 0.2327 d1.loss_lmm_region: 0.1335 loss_lmm_image: 0.7589 +2024/11/08 12:23:50 - mmengine - INFO - Iter(train) [107400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:20:33 time: 1.0251 data_time: 0.0184 memory: 23265 grad_norm: 21.2105 loss: 10.0231 loss_cls: 0.3363 loss_bbox: 0.1613 loss_iou: 0.2842 d0.loss_cls: 0.3822 d0.loss_bbox: 0.1702 d0.loss_iou: 0.3033 d1.loss_cls: 0.3566 d1.loss_bbox: 0.1658 d1.loss_iou: 0.2913 d2.loss_cls: 0.3532 d2.loss_bbox: 0.1582 d2.loss_iou: 0.2836 d3.loss_cls: 0.3499 d3.loss_bbox: 0.1580 d3.loss_iou: 0.2814 d4.loss_cls: 0.3384 d4.loss_bbox: 0.1619 d4.loss_iou: 0.2830 enc_loss_cls: 0.4001 enc_loss_bbox: 0.1869 enc_loss_iou: 0.3240 dn_loss_cls: 0.0831 dn_loss_bbox: 0.1785 dn_loss_iou: 0.2309 d0.dn_loss_cls: 0.1629 d0.dn_loss_bbox: 0.3251 d0.dn_loss_iou: 0.3734 d1.dn_loss_cls: 0.1122 d1.dn_loss_bbox: 0.2067 d1.dn_loss_iou: 0.2625 d2.dn_loss_cls: 0.0954 d2.dn_loss_bbox: 0.1866 d2.dn_loss_iou: 0.2387 d3.dn_loss_cls: 0.0859 d3.dn_loss_bbox: 0.1795 d3.dn_loss_iou: 0.2321 d4.dn_loss_cls: 0.0828 d4.dn_loss_bbox: 0.1783 d4.dn_loss_iou: 0.2309 d1.loss_lmm_region: 0.1232 loss_lmm_image: 0.7248 +2024/11/08 12:25:32 - mmengine - INFO - Iter(train) [107500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:18:48 time: 1.0270 data_time: 0.0183 memory: 24392 grad_norm: 25.1478 loss: 10.0811 loss_cls: 0.2909 loss_bbox: 0.1622 loss_iou: 0.2703 d0.loss_cls: 0.3249 d0.loss_bbox: 0.1762 d0.loss_iou: 0.2883 d1.loss_cls: 0.3050 d1.loss_bbox: 0.1699 d1.loss_iou: 0.2803 d2.loss_cls: 0.2991 d2.loss_bbox: 0.1623 d2.loss_iou: 0.2704 d3.loss_cls: 0.2950 d3.loss_bbox: 0.1626 d3.loss_iou: 0.2705 d4.loss_cls: 0.2948 d4.loss_bbox: 0.1604 d4.loss_iou: 0.2680 enc_loss_cls: 0.3389 enc_loss_bbox: 0.1862 enc_loss_iou: 0.3034 dn_loss_cls: 0.0946 dn_loss_bbox: 0.1997 dn_loss_iou: 0.2466 d0.dn_loss_cls: 0.1916 d0.dn_loss_bbox: 0.3919 d0.dn_loss_iou: 0.4118 d1.dn_loss_cls: 0.1305 d1.dn_loss_bbox: 0.2384 d1.dn_loss_iou: 0.2805 d2.dn_loss_cls: 0.1118 d2.dn_loss_bbox: 0.2103 d2.dn_loss_iou: 0.2561 d3.dn_loss_cls: 0.0986 d3.dn_loss_bbox: 0.2016 d3.dn_loss_iou: 0.2480 d4.dn_loss_cls: 0.0946 d4.dn_loss_bbox: 0.1999 d4.dn_loss_iou: 0.2466 d1.loss_lmm_region: 0.1599 loss_lmm_image: 0.7884 +2024/11/08 12:27:15 - mmengine - INFO - Iter(train) [107600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:17:03 time: 1.0289 data_time: 0.0183 memory: 23668 grad_norm: 24.0353 loss: 9.9780 loss_cls: 0.3237 loss_bbox: 0.1419 loss_iou: 0.2754 d0.loss_cls: 0.3615 d0.loss_bbox: 0.1612 d0.loss_iou: 0.2988 d1.loss_cls: 0.3451 d1.loss_bbox: 0.1471 d1.loss_iou: 0.2841 d2.loss_cls: 0.3328 d2.loss_bbox: 0.1454 d2.loss_iou: 0.2788 d3.loss_cls: 0.3291 d3.loss_bbox: 0.1425 d3.loss_iou: 0.2756 d4.loss_cls: 0.3230 d4.loss_bbox: 0.1430 d4.loss_iou: 0.2763 enc_loss_cls: 0.3762 enc_loss_bbox: 0.1815 enc_loss_iou: 0.3260 dn_loss_cls: 0.0895 dn_loss_bbox: 0.1729 dn_loss_iou: 0.2384 d0.dn_loss_cls: 0.1761 d0.dn_loss_bbox: 0.3198 d0.dn_loss_iou: 0.3916 d1.dn_loss_cls: 0.1213 d1.dn_loss_bbox: 0.2077 d1.dn_loss_iou: 0.2733 d2.dn_loss_cls: 0.1069 d2.dn_loss_bbox: 0.1810 d2.dn_loss_iou: 0.2468 d3.dn_loss_cls: 0.0959 d3.dn_loss_bbox: 0.1730 d3.dn_loss_iou: 0.2395 d4.dn_loss_cls: 0.0908 d4.dn_loss_bbox: 0.1728 d4.dn_loss_iou: 0.2383 d1.loss_lmm_region: 0.1428 loss_lmm_image: 0.8307 +2024/11/08 12:28:58 - mmengine - INFO - Iter(train) [107700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:15:18 time: 1.0321 data_time: 0.0183 memory: 23645 grad_norm: 29.5289 loss: 9.6700 loss_cls: 0.3226 loss_bbox: 0.1534 loss_iou: 0.2638 d0.loss_cls: 0.3626 d0.loss_bbox: 0.1617 d0.loss_iou: 0.2812 d1.loss_cls: 0.3490 d1.loss_bbox: 0.1540 d1.loss_iou: 0.2704 d2.loss_cls: 0.3415 d2.loss_bbox: 0.1485 d2.loss_iou: 0.2646 d3.loss_cls: 0.3323 d3.loss_bbox: 0.1491 d3.loss_iou: 0.2641 d4.loss_cls: 0.3225 d4.loss_bbox: 0.1521 d4.loss_iou: 0.2620 enc_loss_cls: 0.3792 enc_loss_bbox: 0.1771 enc_loss_iou: 0.2991 dn_loss_cls: 0.0772 dn_loss_bbox: 0.1612 dn_loss_iou: 0.2290 d0.dn_loss_cls: 0.1798 d0.dn_loss_bbox: 0.3115 d0.dn_loss_iou: 0.3777 d1.dn_loss_cls: 0.1174 d1.dn_loss_bbox: 0.1956 d1.dn_loss_iou: 0.2628 d2.dn_loss_cls: 0.0971 d2.dn_loss_bbox: 0.1699 d2.dn_loss_iou: 0.2380 d3.dn_loss_cls: 0.0837 d3.dn_loss_bbox: 0.1631 d3.dn_loss_iou: 0.2303 d4.dn_loss_cls: 0.0774 d4.dn_loss_bbox: 0.1613 d4.dn_loss_iou: 0.2289 d1.loss_lmm_region: 0.1420 loss_lmm_image: 0.7554 +2024/11/08 12:30:41 - mmengine - INFO - Iter(train) [107800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:13:33 time: 1.0137 data_time: 0.0181 memory: 24941 grad_norm: 21.4522 loss: 9.8914 loss_cls: 0.3653 loss_bbox: 0.1432 loss_iou: 0.3001 d0.loss_cls: 0.4049 d0.loss_bbox: 0.1511 d0.loss_iou: 0.3192 d1.loss_cls: 0.3795 d1.loss_bbox: 0.1480 d1.loss_iou: 0.3087 d2.loss_cls: 0.3713 d2.loss_bbox: 0.1459 d2.loss_iou: 0.3040 d3.loss_cls: 0.3696 d3.loss_bbox: 0.1411 d3.loss_iou: 0.2992 d4.loss_cls: 0.3681 d4.loss_bbox: 0.1416 d4.loss_iou: 0.2987 enc_loss_cls: 0.4187 enc_loss_bbox: 0.1647 enc_loss_iou: 0.3397 dn_loss_cls: 0.0725 dn_loss_bbox: 0.1421 dn_loss_iou: 0.2246 d0.dn_loss_cls: 0.1525 d0.dn_loss_bbox: 0.2707 d0.dn_loss_iou: 0.3602 d1.dn_loss_cls: 0.0999 d1.dn_loss_bbox: 0.1729 d1.dn_loss_iou: 0.2569 d2.dn_loss_cls: 0.0868 d2.dn_loss_bbox: 0.1486 d2.dn_loss_iou: 0.2325 d3.dn_loss_cls: 0.0754 d3.dn_loss_bbox: 0.1436 d3.dn_loss_iou: 0.2263 d4.dn_loss_cls: 0.0721 d4.dn_loss_bbox: 0.1422 d4.dn_loss_iou: 0.2244 d1.loss_lmm_region: 0.1257 loss_lmm_image: 0.7788 +2024/11/08 12:32:24 - mmengine - INFO - Iter(train) [107900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:11:49 time: 1.0345 data_time: 0.0184 memory: 23296 grad_norm: 26.0043 loss: 10.0174 loss_cls: 0.2975 loss_bbox: 0.1611 loss_iou: 0.2816 d0.loss_cls: 0.3305 d0.loss_bbox: 0.1763 d0.loss_iou: 0.2968 d1.loss_cls: 0.3162 d1.loss_bbox: 0.1677 d1.loss_iou: 0.2835 d2.loss_cls: 0.3047 d2.loss_bbox: 0.1657 d2.loss_iou: 0.2830 d3.loss_cls: 0.3018 d3.loss_bbox: 0.1619 d3.loss_iou: 0.2835 d4.loss_cls: 0.2982 d4.loss_bbox: 0.1602 d4.loss_iou: 0.2808 enc_loss_cls: 0.3454 enc_loss_bbox: 0.1943 enc_loss_iou: 0.3198 dn_loss_cls: 0.1284 dn_loss_bbox: 0.1784 dn_loss_iou: 0.2376 d0.dn_loss_cls: 0.1777 d0.dn_loss_bbox: 0.3339 d0.dn_loss_iou: 0.3818 d1.dn_loss_cls: 0.1528 d1.dn_loss_bbox: 0.2078 d1.dn_loss_iou: 0.2683 d2.dn_loss_cls: 0.1426 d2.dn_loss_bbox: 0.1851 d2.dn_loss_iou: 0.2451 d3.dn_loss_cls: 0.1428 d3.dn_loss_bbox: 0.1791 d3.dn_loss_iou: 0.2389 d4.dn_loss_cls: 0.1331 d4.dn_loss_bbox: 0.1784 d4.dn_loss_iou: 0.2375 d1.loss_lmm_region: 0.1251 loss_lmm_image: 0.7326 +2024/11/08 12:34:06 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/08 12:34:06 - mmengine - INFO - Iter(train) [108000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:10:04 time: 1.0324 data_time: 0.0185 memory: 23703 grad_norm: 22.2919 loss: 8.6086 loss_cls: 0.2484 loss_bbox: 0.1243 loss_iou: 0.2396 d0.loss_cls: 0.2788 d0.loss_bbox: 0.1347 d0.loss_iou: 0.2542 d1.loss_cls: 0.2617 d1.loss_bbox: 0.1313 d1.loss_iou: 0.2448 d2.loss_cls: 0.2545 d2.loss_bbox: 0.1274 d2.loss_iou: 0.2428 d3.loss_cls: 0.2526 d3.loss_bbox: 0.1247 d3.loss_iou: 0.2401 d4.loss_cls: 0.2496 d4.loss_bbox: 0.1245 d4.loss_iou: 0.2395 enc_loss_cls: 0.2937 enc_loss_bbox: 0.1539 enc_loss_iou: 0.2761 dn_loss_cls: 0.0593 dn_loss_bbox: 0.1678 dn_loss_iou: 0.2290 d0.dn_loss_cls: 0.1505 d0.dn_loss_bbox: 0.3021 d0.dn_loss_iou: 0.3712 d1.dn_loss_cls: 0.0960 d1.dn_loss_bbox: 0.1959 d1.dn_loss_iou: 0.2590 d2.dn_loss_cls: 0.0782 d2.dn_loss_bbox: 0.1760 d2.dn_loss_iou: 0.2374 d3.dn_loss_cls: 0.0655 d3.dn_loss_bbox: 0.1688 d3.dn_loss_iou: 0.2302 d4.dn_loss_cls: 0.0605 d4.dn_loss_bbox: 0.1678 d4.dn_loss_iou: 0.2289 d1.loss_lmm_region: 0.1194 loss_lmm_image: 0.7482 +2024/11/08 12:35:50 - mmengine - INFO - Iter(train) [108100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:08:19 time: 1.0293 data_time: 0.0182 memory: 22930 grad_norm: 20.1111 loss: 10.1079 loss_cls: 0.3244 loss_bbox: 0.1592 loss_iou: 0.2884 d0.loss_cls: 0.3602 d0.loss_bbox: 0.1800 d0.loss_iou: 0.3170 d1.loss_cls: 0.3360 d1.loss_bbox: 0.1726 d1.loss_iou: 0.3048 d2.loss_cls: 0.3338 d2.loss_bbox: 0.1600 d2.loss_iou: 0.2951 d3.loss_cls: 0.3286 d3.loss_bbox: 0.1617 d3.loss_iou: 0.2904 d4.loss_cls: 0.3249 d4.loss_bbox: 0.1603 d4.loss_iou: 0.2902 enc_loss_cls: 0.3686 enc_loss_bbox: 0.1951 enc_loss_iou: 0.3392 dn_loss_cls: 0.1029 dn_loss_bbox: 0.1664 dn_loss_iou: 0.2289 d0.dn_loss_cls: 0.1796 d0.dn_loss_bbox: 0.3094 d0.dn_loss_iou: 0.3769 d1.dn_loss_cls: 0.1313 d1.dn_loss_bbox: 0.2022 d1.dn_loss_iou: 0.2639 d2.dn_loss_cls: 0.1147 d2.dn_loss_bbox: 0.1760 d2.dn_loss_iou: 0.2377 d3.dn_loss_cls: 0.1089 d3.dn_loss_bbox: 0.1675 d3.dn_loss_iou: 0.2302 d4.dn_loss_cls: 0.1021 d4.dn_loss_bbox: 0.1664 d4.dn_loss_iou: 0.2289 d1.loss_lmm_region: 0.1256 loss_lmm_image: 0.7977 +2024/11/08 12:37:32 - mmengine - INFO - Iter(train) [108200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:06:34 time: 1.0293 data_time: 0.0183 memory: 24628 grad_norm: 22.4036 loss: 8.4162 loss_cls: 0.2452 loss_bbox: 0.1195 loss_iou: 0.2271 d0.loss_cls: 0.2737 d0.loss_bbox: 0.1299 d0.loss_iou: 0.2429 d1.loss_cls: 0.2562 d1.loss_bbox: 0.1249 d1.loss_iou: 0.2334 d2.loss_cls: 0.2499 d2.loss_bbox: 0.1214 d2.loss_iou: 0.2306 d3.loss_cls: 0.2452 d3.loss_bbox: 0.1231 d3.loss_iou: 0.2306 d4.loss_cls: 0.2425 d4.loss_bbox: 0.1218 d4.loss_iou: 0.2298 enc_loss_cls: 0.2892 enc_loss_bbox: 0.1428 enc_loss_iou: 0.2617 dn_loss_cls: 0.0709 dn_loss_bbox: 0.1574 dn_loss_iou: 0.2116 d0.dn_loss_cls: 0.1401 d0.dn_loss_bbox: 0.3155 d0.dn_loss_iou: 0.3544 d1.dn_loss_cls: 0.0956 d1.dn_loss_bbox: 0.1921 d1.dn_loss_iou: 0.2444 d2.dn_loss_cls: 0.0839 d2.dn_loss_bbox: 0.1670 d2.dn_loss_iou: 0.2207 d3.dn_loss_cls: 0.0754 d3.dn_loss_bbox: 0.1579 d3.dn_loss_iou: 0.2122 d4.dn_loss_cls: 0.0729 d4.dn_loss_bbox: 0.1574 d4.dn_loss_iou: 0.2115 d1.loss_lmm_region: 0.1037 loss_lmm_image: 0.8302 +2024/11/08 12:39:14 - mmengine - INFO - Iter(train) [108300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:04:49 time: 1.0159 data_time: 0.0183 memory: 22791 grad_norm: 23.7621 loss: 8.4366 loss_cls: 0.2500 loss_bbox: 0.1256 loss_iou: 0.2450 d0.loss_cls: 0.2769 d0.loss_bbox: 0.1421 d0.loss_iou: 0.2665 d1.loss_cls: 0.2633 d1.loss_bbox: 0.1257 d1.loss_iou: 0.2506 d2.loss_cls: 0.2547 d2.loss_bbox: 0.1256 d2.loss_iou: 0.2443 d3.loss_cls: 0.2548 d3.loss_bbox: 0.1211 d3.loss_iou: 0.2439 d4.loss_cls: 0.2531 d4.loss_bbox: 0.1217 d4.loss_iou: 0.2440 enc_loss_cls: 0.3039 enc_loss_bbox: 0.1520 enc_loss_iou: 0.2822 dn_loss_cls: 0.0627 dn_loss_bbox: 0.1357 dn_loss_iou: 0.2093 d0.dn_loss_cls: 0.1547 d0.dn_loss_bbox: 0.2921 d0.dn_loss_iou: 0.3644 d1.dn_loss_cls: 0.0931 d1.dn_loss_bbox: 0.1687 d1.dn_loss_iou: 0.2412 d2.dn_loss_cls: 0.0749 d2.dn_loss_bbox: 0.1443 d2.dn_loss_iou: 0.2177 d3.dn_loss_cls: 0.0665 d3.dn_loss_bbox: 0.1378 d3.dn_loss_iou: 0.2108 d4.dn_loss_cls: 0.0632 d4.dn_loss_bbox: 0.1357 d4.dn_loss_iou: 0.2091 d1.loss_lmm_region: 0.1288 loss_lmm_image: 0.7791 +2024/11/08 12:40:57 - mmengine - INFO - Iter(train) [108400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:03:04 time: 1.0304 data_time: 0.0183 memory: 23751 grad_norm: 21.5345 loss: 10.0374 loss_cls: 0.3203 loss_bbox: 0.1446 loss_iou: 0.2517 d0.loss_cls: 0.3589 d0.loss_bbox: 0.1644 d0.loss_iou: 0.2733 d1.loss_cls: 0.3384 d1.loss_bbox: 0.1496 d1.loss_iou: 0.2612 d2.loss_cls: 0.3311 d2.loss_bbox: 0.1454 d2.loss_iou: 0.2526 d3.loss_cls: 0.3220 d3.loss_bbox: 0.1448 d3.loss_iou: 0.2528 d4.loss_cls: 0.3199 d4.loss_bbox: 0.1445 d4.loss_iou: 0.2521 enc_loss_cls: 0.3692 enc_loss_bbox: 0.1729 enc_loss_iou: 0.2976 dn_loss_cls: 0.1555 dn_loss_bbox: 0.1719 dn_loss_iou: 0.2289 d0.dn_loss_cls: 0.2266 d0.dn_loss_bbox: 0.3365 d0.dn_loss_iou: 0.3868 d1.dn_loss_cls: 0.1776 d1.dn_loss_bbox: 0.2068 d1.dn_loss_iou: 0.2657 d2.dn_loss_cls: 0.1665 d2.dn_loss_bbox: 0.1796 d2.dn_loss_iou: 0.2388 d3.dn_loss_cls: 0.1601 d3.dn_loss_bbox: 0.1736 d3.dn_loss_iou: 0.2304 d4.dn_loss_cls: 0.1563 d4.dn_loss_bbox: 0.1720 d4.dn_loss_iou: 0.2291 d1.loss_lmm_region: 0.1446 loss_lmm_image: 0.7627 +2024/11/08 12:42:39 - mmengine - INFO - Iter(train) [108500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:01:19 time: 1.0248 data_time: 0.0183 memory: 24073 grad_norm: 22.2090 loss: 10.4932 loss_cls: 0.3485 loss_bbox: 0.1636 loss_iou: 0.3138 d0.loss_cls: 0.3859 d0.loss_bbox: 0.1687 d0.loss_iou: 0.3301 d1.loss_cls: 0.3660 d1.loss_bbox: 0.1634 d1.loss_iou: 0.3231 d2.loss_cls: 0.3572 d2.loss_bbox: 0.1650 d2.loss_iou: 0.3177 d3.loss_cls: 0.3536 d3.loss_bbox: 0.1619 d3.loss_iou: 0.3133 d4.loss_cls: 0.3491 d4.loss_bbox: 0.1618 d4.loss_iou: 0.3122 enc_loss_cls: 0.4038 enc_loss_bbox: 0.1834 enc_loss_iou: 0.3544 dn_loss_cls: 0.1038 dn_loss_bbox: 0.1661 dn_loss_iou: 0.2400 d0.dn_loss_cls: 0.1834 d0.dn_loss_bbox: 0.3054 d0.dn_loss_iou: 0.3891 d1.dn_loss_cls: 0.1366 d1.dn_loss_bbox: 0.1985 d1.dn_loss_iou: 0.2744 d2.dn_loss_cls: 0.1199 d2.dn_loss_bbox: 0.1743 d2.dn_loss_iou: 0.2485 d3.dn_loss_cls: 0.1092 d3.dn_loss_bbox: 0.1681 d3.dn_loss_iou: 0.2414 d4.dn_loss_cls: 0.1044 d4.dn_loss_bbox: 0.1660 d4.dn_loss_iou: 0.2399 d1.loss_lmm_region: 0.1328 loss_lmm_image: 0.7945 +2024/11/08 12:44:22 - mmengine - INFO - Iter(train) [108600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:59:34 time: 1.0307 data_time: 0.0183 memory: 22916 grad_norm: 23.6831 loss: 10.4929 loss_cls: 0.3372 loss_bbox: 0.1804 loss_iou: 0.3048 d0.loss_cls: 0.3744 d0.loss_bbox: 0.1895 d0.loss_iou: 0.3221 d1.loss_cls: 0.3538 d1.loss_bbox: 0.1812 d1.loss_iou: 0.3098 d2.loss_cls: 0.3397 d2.loss_bbox: 0.1835 d2.loss_iou: 0.3086 d3.loss_cls: 0.3407 d3.loss_bbox: 0.1802 d3.loss_iou: 0.3039 d4.loss_cls: 0.3353 d4.loss_bbox: 0.1815 d4.loss_iou: 0.3050 enc_loss_cls: 0.3946 enc_loss_bbox: 0.1968 enc_loss_iou: 0.3415 dn_loss_cls: 0.0926 dn_loss_bbox: 0.1886 dn_loss_iou: 0.2282 d0.dn_loss_cls: 0.1779 d0.dn_loss_bbox: 0.3558 d0.dn_loss_iou: 0.3795 d1.dn_loss_cls: 0.1225 d1.dn_loss_bbox: 0.2269 d1.dn_loss_iou: 0.2610 d2.dn_loss_cls: 0.1037 d2.dn_loss_bbox: 0.1995 d2.dn_loss_iou: 0.2364 d3.dn_loss_cls: 0.0960 d3.dn_loss_bbox: 0.1907 d3.dn_loss_iou: 0.2295 d4.dn_loss_cls: 0.0924 d4.dn_loss_bbox: 0.1885 d4.dn_loss_iou: 0.2281 d1.loss_lmm_region: 0.1329 loss_lmm_image: 0.7978 +2024/11/08 12:46:05 - mmengine - INFO - Iter(train) [108700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:57:49 time: 1.0295 data_time: 0.0182 memory: 23134 grad_norm: 22.7480 loss: 11.3248 loss_cls: 0.3668 loss_bbox: 0.2049 loss_iou: 0.3223 d0.loss_cls: 0.4202 d0.loss_bbox: 0.2183 d0.loss_iou: 0.3407 d1.loss_cls: 0.3934 d1.loss_bbox: 0.2023 d1.loss_iou: 0.3254 d2.loss_cls: 0.3865 d2.loss_bbox: 0.1998 d2.loss_iou: 0.3213 d3.loss_cls: 0.3760 d3.loss_bbox: 0.2020 d3.loss_iou: 0.3221 d4.loss_cls: 0.3698 d4.loss_bbox: 0.2021 d4.loss_iou: 0.3215 enc_loss_cls: 0.4433 enc_loss_bbox: 0.2346 enc_loss_iou: 0.3630 dn_loss_cls: 0.0892 dn_loss_bbox: 0.2084 dn_loss_iou: 0.2539 d0.dn_loss_cls: 0.1892 d0.dn_loss_bbox: 0.3736 d0.dn_loss_iou: 0.4051 d1.dn_loss_cls: 0.1268 d1.dn_loss_bbox: 0.2453 d1.dn_loss_iou: 0.2886 d2.dn_loss_cls: 0.1078 d2.dn_loss_bbox: 0.2190 d2.dn_loss_iou: 0.2630 d3.dn_loss_cls: 0.0949 d3.dn_loss_bbox: 0.2101 d3.dn_loss_iou: 0.2557 d4.dn_loss_cls: 0.0892 d4.dn_loss_bbox: 0.2084 d4.dn_loss_iou: 0.2539 d1.loss_lmm_region: 0.1376 loss_lmm_image: 0.7690 +2024/11/08 12:47:48 - mmengine - INFO - Iter(train) [108800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:56:04 time: 1.0269 data_time: 0.0183 memory: 23901 grad_norm: 22.1510 loss: 9.5026 loss_cls: 0.2966 loss_bbox: 0.1493 loss_iou: 0.2525 d0.loss_cls: 0.3269 d0.loss_bbox: 0.1618 d0.loss_iou: 0.2677 d1.loss_cls: 0.3095 d1.loss_bbox: 0.1555 d1.loss_iou: 0.2590 d2.loss_cls: 0.3020 d2.loss_bbox: 0.1511 d2.loss_iou: 0.2544 d3.loss_cls: 0.3015 d3.loss_bbox: 0.1504 d3.loss_iou: 0.2511 d4.loss_cls: 0.2969 d4.loss_bbox: 0.1487 d4.loss_iou: 0.2516 enc_loss_cls: 0.3451 enc_loss_bbox: 0.1735 enc_loss_iou: 0.2910 dn_loss_cls: 0.0805 dn_loss_bbox: 0.1792 dn_loss_iou: 0.2248 d0.dn_loss_cls: 0.1751 d0.dn_loss_bbox: 0.3617 d0.dn_loss_iou: 0.3891 d1.dn_loss_cls: 0.1142 d1.dn_loss_bbox: 0.2208 d1.dn_loss_iou: 0.2636 d2.dn_loss_cls: 0.0947 d2.dn_loss_bbox: 0.1893 d2.dn_loss_iou: 0.2354 d3.dn_loss_cls: 0.0869 d3.dn_loss_bbox: 0.1806 d3.dn_loss_iou: 0.2263 d4.dn_loss_cls: 0.0813 d4.dn_loss_bbox: 0.1793 d4.dn_loss_iou: 0.2248 d1.loss_lmm_region: 0.1388 loss_lmm_image: 0.7602 +2024/11/08 12:49:31 - mmengine - INFO - Iter(train) [108900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:54:19 time: 1.0260 data_time: 0.0182 memory: 23537 grad_norm: 22.5056 loss: 10.0433 loss_cls: 0.3046 loss_bbox: 0.1558 loss_iou: 0.2977 d0.loss_cls: 0.3364 d0.loss_bbox: 0.1664 d0.loss_iou: 0.3211 d1.loss_cls: 0.3183 d1.loss_bbox: 0.1608 d1.loss_iou: 0.3131 d2.loss_cls: 0.3112 d2.loss_bbox: 0.1563 d2.loss_iou: 0.3047 d3.loss_cls: 0.3076 d3.loss_bbox: 0.1576 d3.loss_iou: 0.3024 d4.loss_cls: 0.3021 d4.loss_bbox: 0.1579 d4.loss_iou: 0.3016 enc_loss_cls: 0.3615 enc_loss_bbox: 0.1790 enc_loss_iou: 0.3388 dn_loss_cls: 0.0866 dn_loss_bbox: 0.1742 dn_loss_iou: 0.2364 d0.dn_loss_cls: 0.1841 d0.dn_loss_bbox: 0.3394 d0.dn_loss_iou: 0.3979 d1.dn_loss_cls: 0.1201 d1.dn_loss_bbox: 0.2155 d1.dn_loss_iou: 0.2733 d2.dn_loss_cls: 0.1007 d2.dn_loss_bbox: 0.1842 d2.dn_loss_iou: 0.2456 d3.dn_loss_cls: 0.0925 d3.dn_loss_bbox: 0.1761 d3.dn_loss_iou: 0.2382 d4.dn_loss_cls: 0.0877 d4.dn_loss_bbox: 0.1741 d4.dn_loss_iou: 0.2363 d1.loss_lmm_region: 0.1291 loss_lmm_image: 0.7964 +2024/11/08 12:51:13 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/08 12:51:13 - mmengine - INFO - Iter(train) [109000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:52:34 time: 1.0122 data_time: 0.0182 memory: 24274 grad_norm: 21.6006 loss: 9.4107 loss_cls: 0.2836 loss_bbox: 0.1462 loss_iou: 0.2679 d0.loss_cls: 0.3183 d0.loss_bbox: 0.1613 d0.loss_iou: 0.2798 d1.loss_cls: 0.3029 d1.loss_bbox: 0.1500 d1.loss_iou: 0.2707 d2.loss_cls: 0.2937 d2.loss_bbox: 0.1455 d2.loss_iou: 0.2704 d3.loss_cls: 0.2895 d3.loss_bbox: 0.1463 d3.loss_iou: 0.2676 d4.loss_cls: 0.2836 d4.loss_bbox: 0.1461 d4.loss_iou: 0.2678 enc_loss_cls: 0.3287 enc_loss_bbox: 0.1777 enc_loss_iou: 0.3086 dn_loss_cls: 0.0832 dn_loss_bbox: 0.1730 dn_loss_iou: 0.2259 d0.dn_loss_cls: 0.1722 d0.dn_loss_bbox: 0.3164 d0.dn_loss_iou: 0.3710 d1.dn_loss_cls: 0.1179 d1.dn_loss_bbox: 0.2001 d1.dn_loss_iou: 0.2563 d2.dn_loss_cls: 0.0993 d2.dn_loss_bbox: 0.1807 d2.dn_loss_iou: 0.2330 d3.dn_loss_cls: 0.0889 d3.dn_loss_bbox: 0.1729 d3.dn_loss_iou: 0.2261 d4.dn_loss_cls: 0.0848 d4.dn_loss_bbox: 0.1731 d4.dn_loss_iou: 0.2258 d1.loss_lmm_region: 0.1377 loss_lmm_image: 0.7663 +2024/11/08 12:52:56 - mmengine - INFO - Iter(train) [109100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:50:50 time: 1.0454 data_time: 0.0184 memory: 24030 grad_norm: 40.5935 loss: 8.3808 loss_cls: 0.2527 loss_bbox: 0.1116 loss_iou: 0.2155 d0.loss_cls: 0.2805 d0.loss_bbox: 0.1298 d0.loss_iou: 0.2409 d1.loss_cls: 0.2669 d1.loss_bbox: 0.1181 d1.loss_iou: 0.2274 d2.loss_cls: 0.2603 d2.loss_bbox: 0.1158 d2.loss_iou: 0.2206 d3.loss_cls: 0.2555 d3.loss_bbox: 0.1143 d3.loss_iou: 0.2173 d4.loss_cls: 0.2540 d4.loss_bbox: 0.1120 d4.loss_iou: 0.2149 enc_loss_cls: 0.2968 enc_loss_bbox: 0.1441 enc_loss_iou: 0.2583 dn_loss_cls: 0.0666 dn_loss_bbox: 0.1623 dn_loss_iou: 0.2135 d0.dn_loss_cls: 0.1569 d0.dn_loss_bbox: 0.3016 d0.dn_loss_iou: 0.3589 d1.dn_loss_cls: 0.1020 d1.dn_loss_bbox: 0.1972 d1.dn_loss_iou: 0.2486 d2.dn_loss_cls: 0.0820 d2.dn_loss_bbox: 0.1724 d2.dn_loss_iou: 0.2225 d3.dn_loss_cls: 0.0715 d3.dn_loss_bbox: 0.1626 d3.dn_loss_iou: 0.2150 d4.dn_loss_cls: 0.0674 d4.dn_loss_bbox: 0.1622 d4.dn_loss_iou: 0.2135 d1.loss_lmm_region: 0.1375 loss_lmm_image: 0.7593 +2024/11/08 12:54:38 - mmengine - INFO - Iter(train) [109200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:49:04 time: 1.0146 data_time: 0.0183 memory: 23962 grad_norm: 24.0873 loss: 9.6885 loss_cls: 0.2979 loss_bbox: 0.1579 loss_iou: 0.2659 d0.loss_cls: 0.3354 d0.loss_bbox: 0.1758 d0.loss_iou: 0.2843 d1.loss_cls: 0.3106 d1.loss_bbox: 0.1680 d1.loss_iou: 0.2766 d2.loss_cls: 0.3047 d2.loss_bbox: 0.1654 d2.loss_iou: 0.2703 d3.loss_cls: 0.3039 d3.loss_bbox: 0.1583 d3.loss_iou: 0.2667 d4.loss_cls: 0.3010 d4.loss_bbox: 0.1554 d4.loss_iou: 0.2651 enc_loss_cls: 0.3512 enc_loss_bbox: 0.1948 enc_loss_iou: 0.3043 dn_loss_cls: 0.1027 dn_loss_bbox: 0.1666 dn_loss_iou: 0.2188 d0.dn_loss_cls: 0.1830 d0.dn_loss_bbox: 0.3430 d0.dn_loss_iou: 0.3732 d1.dn_loss_cls: 0.1264 d1.dn_loss_bbox: 0.2086 d1.dn_loss_iou: 0.2559 d2.dn_loss_cls: 0.1081 d2.dn_loss_bbox: 0.1766 d2.dn_loss_iou: 0.2282 d3.dn_loss_cls: 0.1036 d3.dn_loss_bbox: 0.1682 d3.dn_loss_iou: 0.2199 d4.dn_loss_cls: 0.1004 d4.dn_loss_bbox: 0.1665 d4.dn_loss_iou: 0.2186 d1.loss_lmm_region: 0.1533 loss_lmm_image: 0.7535 +2024/11/08 12:56:20 - mmengine - INFO - Iter(train) [109300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:47:20 time: 1.0387 data_time: 0.0183 memory: 24179 grad_norm: 23.1763 loss: 9.2160 loss_cls: 0.2687 loss_bbox: 0.1470 loss_iou: 0.2490 d0.loss_cls: 0.3030 d0.loss_bbox: 0.1548 d0.loss_iou: 0.2610 d1.loss_cls: 0.2872 d1.loss_bbox: 0.1449 d1.loss_iou: 0.2536 d2.loss_cls: 0.2780 d2.loss_bbox: 0.1467 d2.loss_iou: 0.2502 d3.loss_cls: 0.2729 d3.loss_bbox: 0.1457 d3.loss_iou: 0.2469 d4.loss_cls: 0.2688 d4.loss_bbox: 0.1475 d4.loss_iou: 0.2499 enc_loss_cls: 0.3182 enc_loss_bbox: 0.1765 enc_loss_iou: 0.2828 dn_loss_cls: 0.0876 dn_loss_bbox: 0.1738 dn_loss_iou: 0.2274 d0.dn_loss_cls: 0.1721 d0.dn_loss_bbox: 0.3308 d0.dn_loss_iou: 0.3765 d1.dn_loss_cls: 0.1190 d1.dn_loss_bbox: 0.2064 d1.dn_loss_iou: 0.2596 d2.dn_loss_cls: 0.0998 d2.dn_loss_bbox: 0.1806 d2.dn_loss_iou: 0.2350 d3.dn_loss_cls: 0.0915 d3.dn_loss_bbox: 0.1746 d3.dn_loss_iou: 0.2286 d4.dn_loss_cls: 0.0884 d4.dn_loss_bbox: 0.1738 d4.dn_loss_iou: 0.2275 d1.loss_lmm_region: 0.1341 loss_lmm_image: 0.7758 +2024/11/08 12:58:03 - mmengine - INFO - Iter(train) [109400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:45:35 time: 1.0238 data_time: 0.0182 memory: 23580 grad_norm: 20.5568 loss: 9.3485 loss_cls: 0.3321 loss_bbox: 0.1314 loss_iou: 0.2434 d0.loss_cls: 0.3589 d0.loss_bbox: 0.1470 d0.loss_iou: 0.2654 d1.loss_cls: 0.3510 d1.loss_bbox: 0.1359 d1.loss_iou: 0.2538 d2.loss_cls: 0.3414 d2.loss_bbox: 0.1345 d2.loss_iou: 0.2472 d3.loss_cls: 0.3379 d3.loss_bbox: 0.1307 d3.loss_iou: 0.2441 d4.loss_cls: 0.3318 d4.loss_bbox: 0.1306 d4.loss_iou: 0.2433 enc_loss_cls: 0.3818 enc_loss_bbox: 0.1540 enc_loss_iou: 0.2810 dn_loss_cls: 0.1141 dn_loss_bbox: 0.1463 dn_loss_iou: 0.2088 d0.dn_loss_cls: 0.1905 d0.dn_loss_bbox: 0.2865 d0.dn_loss_iou: 0.3461 d1.dn_loss_cls: 0.1360 d1.dn_loss_bbox: 0.1795 d1.dn_loss_iou: 0.2396 d2.dn_loss_cls: 0.1221 d2.dn_loss_bbox: 0.1530 d2.dn_loss_iou: 0.2157 d3.dn_loss_cls: 0.1174 d3.dn_loss_bbox: 0.1480 d3.dn_loss_iou: 0.2106 d4.dn_loss_cls: 0.1161 d4.dn_loss_bbox: 0.1462 d4.dn_loss_iou: 0.2087 d1.loss_lmm_region: 0.1204 loss_lmm_image: 0.7656 +2024/11/08 12:59:46 - mmengine - INFO - Iter(train) [109500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:43:50 time: 1.0184 data_time: 0.0183 memory: 22585 grad_norm: 21.0666 loss: 7.9933 loss_cls: 0.2252 loss_bbox: 0.1173 loss_iou: 0.2199 d0.loss_cls: 0.2484 d0.loss_bbox: 0.1292 d0.loss_iou: 0.2331 d1.loss_cls: 0.2333 d1.loss_bbox: 0.1222 d1.loss_iou: 0.2246 d2.loss_cls: 0.2318 d2.loss_bbox: 0.1179 d2.loss_iou: 0.2200 d3.loss_cls: 0.2290 d3.loss_bbox: 0.1195 d3.loss_iou: 0.2226 d4.loss_cls: 0.2252 d4.loss_bbox: 0.1180 d4.loss_iou: 0.2203 enc_loss_cls: 0.2649 enc_loss_bbox: 0.1437 enc_loss_iou: 0.2557 dn_loss_cls: 0.0528 dn_loss_bbox: 0.1580 dn_loss_iou: 0.2089 d0.dn_loss_cls: 0.1288 d0.dn_loss_bbox: 0.3132 d0.dn_loss_iou: 0.3494 d1.dn_loss_cls: 0.0789 d1.dn_loss_bbox: 0.1973 d1.dn_loss_iou: 0.2419 d2.dn_loss_cls: 0.0633 d2.dn_loss_bbox: 0.1703 d2.dn_loss_iou: 0.2190 d3.dn_loss_cls: 0.0572 d3.dn_loss_bbox: 0.1600 d3.dn_loss_iou: 0.2108 d4.dn_loss_cls: 0.0530 d4.dn_loss_bbox: 0.1580 d4.dn_loss_iou: 0.2088 d1.loss_lmm_region: 0.1056 loss_lmm_image: 0.7360 +2024/11/08 13:01:29 - mmengine - INFO - Iter(train) [109600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:42:05 time: 1.0330 data_time: 0.0183 memory: 23245 grad_norm: 21.4369 loss: 9.6198 loss_cls: 0.2881 loss_bbox: 0.1464 loss_iou: 0.2771 d0.loss_cls: 0.3188 d0.loss_bbox: 0.1634 d0.loss_iou: 0.2991 d1.loss_cls: 0.3056 d1.loss_bbox: 0.1536 d1.loss_iou: 0.2850 d2.loss_cls: 0.2978 d2.loss_bbox: 0.1505 d2.loss_iou: 0.2809 d3.loss_cls: 0.2933 d3.loss_bbox: 0.1475 d3.loss_iou: 0.2775 d4.loss_cls: 0.2899 d4.loss_bbox: 0.1476 d4.loss_iou: 0.2781 enc_loss_cls: 0.3358 enc_loss_bbox: 0.1797 enc_loss_iou: 0.3217 dn_loss_cls: 0.0887 dn_loss_bbox: 0.1703 dn_loss_iou: 0.2334 d0.dn_loss_cls: 0.1695 d0.dn_loss_bbox: 0.3144 d0.dn_loss_iou: 0.3847 d1.dn_loss_cls: 0.1181 d1.dn_loss_bbox: 0.1992 d1.dn_loss_iou: 0.2668 d2.dn_loss_cls: 0.1015 d2.dn_loss_bbox: 0.1757 d2.dn_loss_iou: 0.2412 d3.dn_loss_cls: 0.0939 d3.dn_loss_bbox: 0.1720 d3.dn_loss_iou: 0.2348 d4.dn_loss_cls: 0.0897 d4.dn_loss_bbox: 0.1703 d4.dn_loss_iou: 0.2335 d1.loss_lmm_region: 0.1182 loss_lmm_image: 0.8069 +2024/11/08 13:03:11 - mmengine - INFO - Iter(train) [109700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:40:20 time: 1.0220 data_time: 0.0184 memory: 23945 grad_norm: 24.8780 loss: 9.3901 loss_cls: 0.2983 loss_bbox: 0.1382 loss_iou: 0.2679 d0.loss_cls: 0.3396 d0.loss_bbox: 0.1555 d0.loss_iou: 0.2857 d1.loss_cls: 0.3211 d1.loss_bbox: 0.1473 d1.loss_iou: 0.2763 d2.loss_cls: 0.3084 d2.loss_bbox: 0.1389 d2.loss_iou: 0.2714 d3.loss_cls: 0.3060 d3.loss_bbox: 0.1351 d3.loss_iou: 0.2667 d4.loss_cls: 0.3000 d4.loss_bbox: 0.1375 d4.loss_iou: 0.2675 enc_loss_cls: 0.3518 enc_loss_bbox: 0.1707 enc_loss_iou: 0.3084 dn_loss_cls: 0.0757 dn_loss_bbox: 0.1598 dn_loss_iou: 0.2184 d0.dn_loss_cls: 0.1625 d0.dn_loss_bbox: 0.3076 d0.dn_loss_iou: 0.3665 d1.dn_loss_cls: 0.1149 d1.dn_loss_bbox: 0.1995 d1.dn_loss_iou: 0.2543 d2.dn_loss_cls: 0.0941 d2.dn_loss_bbox: 0.1715 d2.dn_loss_iou: 0.2288 d3.dn_loss_cls: 0.0820 d3.dn_loss_bbox: 0.1618 d3.dn_loss_iou: 0.2203 d4.dn_loss_cls: 0.0757 d4.dn_loss_bbox: 0.1597 d4.dn_loss_iou: 0.2186 d1.loss_lmm_region: 0.1235 loss_lmm_image: 0.8028 +2024/11/08 13:04:54 - mmengine - INFO - Iter(train) [109800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:38:35 time: 1.0367 data_time: 0.0184 memory: 23353 grad_norm: 23.4202 loss: 8.9093 loss_cls: 0.2792 loss_bbox: 0.1362 loss_iou: 0.2553 d0.loss_cls: 0.3060 d0.loss_bbox: 0.1527 d0.loss_iou: 0.2789 d1.loss_cls: 0.2928 d1.loss_bbox: 0.1422 d1.loss_iou: 0.2647 d2.loss_cls: 0.2890 d2.loss_bbox: 0.1332 d2.loss_iou: 0.2561 d3.loss_cls: 0.2825 d3.loss_bbox: 0.1354 d3.loss_iou: 0.2550 d4.loss_cls: 0.2812 d4.loss_bbox: 0.1344 d4.loss_iou: 0.2546 enc_loss_cls: 0.3184 enc_loss_bbox: 0.1671 enc_loss_iou: 0.3013 dn_loss_cls: 0.0758 dn_loss_bbox: 0.1513 dn_loss_iou: 0.2081 d0.dn_loss_cls: 0.1534 d0.dn_loss_bbox: 0.2910 d0.dn_loss_iou: 0.3524 d1.dn_loss_cls: 0.1017 d1.dn_loss_bbox: 0.1798 d1.dn_loss_iou: 0.2391 d2.dn_loss_cls: 0.0876 d2.dn_loss_bbox: 0.1571 d2.dn_loss_iou: 0.2159 d3.dn_loss_cls: 0.0806 d3.dn_loss_bbox: 0.1513 d3.dn_loss_iou: 0.2087 d4.dn_loss_cls: 0.0770 d4.dn_loss_bbox: 0.1514 d4.dn_loss_iou: 0.2081 d1.loss_lmm_region: 0.1137 loss_lmm_image: 0.7892 +2024/11/08 13:06:35 - mmengine - INFO - Iter(train) [109900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:36:50 time: 1.0168 data_time: 0.0183 memory: 23352 grad_norm: 21.3313 loss: 7.8688 loss_cls: 0.2449 loss_bbox: 0.1079 loss_iou: 0.1949 d0.loss_cls: 0.2689 d0.loss_bbox: 0.1195 d0.loss_iou: 0.2104 d1.loss_cls: 0.2593 d1.loss_bbox: 0.1128 d1.loss_iou: 0.2025 d2.loss_cls: 0.2517 d2.loss_bbox: 0.1108 d2.loss_iou: 0.1999 d3.loss_cls: 0.2471 d3.loss_bbox: 0.1100 d3.loss_iou: 0.1963 d4.loss_cls: 0.2455 d4.loss_bbox: 0.1073 d4.loss_iou: 0.1945 enc_loss_cls: 0.2803 enc_loss_bbox: 0.1337 enc_loss_iou: 0.2300 dn_loss_cls: 0.0710 dn_loss_bbox: 0.1475 dn_loss_iou: 0.1867 d0.dn_loss_cls: 0.1456 d0.dn_loss_bbox: 0.2939 d0.dn_loss_iou: 0.3310 d1.dn_loss_cls: 0.1004 d1.dn_loss_bbox: 0.1789 d1.dn_loss_iou: 0.2190 d2.dn_loss_cls: 0.0847 d2.dn_loss_bbox: 0.1530 d2.dn_loss_iou: 0.1950 d3.dn_loss_cls: 0.0760 d3.dn_loss_bbox: 0.1482 d3.dn_loss_iou: 0.1876 d4.dn_loss_cls: 0.0719 d4.dn_loss_bbox: 0.1474 d4.dn_loss_iou: 0.1866 d1.loss_lmm_region: 0.1183 loss_lmm_image: 0.7981 +2024/11/08 13:08:20 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/08 13:08:20 - mmengine - INFO - Iter(train) [110000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:35:06 time: 1.0467 data_time: 0.0185 memory: 23765 grad_norm: 22.4227 loss: 8.8923 loss_cls: 0.2607 loss_bbox: 0.1252 loss_iou: 0.2470 d0.loss_cls: 0.2988 d0.loss_bbox: 0.1395 d0.loss_iou: 0.2630 d1.loss_cls: 0.2788 d1.loss_bbox: 0.1355 d1.loss_iou: 0.2556 d2.loss_cls: 0.2690 d2.loss_bbox: 0.1327 d2.loss_iou: 0.2503 d3.loss_cls: 0.2661 d3.loss_bbox: 0.1272 d3.loss_iou: 0.2485 d4.loss_cls: 0.2638 d4.loss_bbox: 0.1244 d4.loss_iou: 0.2459 enc_loss_cls: 0.3158 enc_loss_bbox: 0.1532 enc_loss_iou: 0.2804 dn_loss_cls: 0.0788 dn_loss_bbox: 0.1602 dn_loss_iou: 0.2208 d0.dn_loss_cls: 0.1669 d0.dn_loss_bbox: 0.3169 d0.dn_loss_iou: 0.3682 d1.dn_loss_cls: 0.1090 d1.dn_loss_bbox: 0.1968 d1.dn_loss_iou: 0.2538 d2.dn_loss_cls: 0.0936 d2.dn_loss_bbox: 0.1707 d2.dn_loss_iou: 0.2301 d3.dn_loss_cls: 0.0816 d3.dn_loss_bbox: 0.1612 d3.dn_loss_iou: 0.2220 d4.dn_loss_cls: 0.0789 d4.dn_loss_bbox: 0.1603 d4.dn_loss_iou: 0.2208 d1.loss_lmm_region: 0.1371 loss_lmm_image: 0.7830 +2024/11/08 13:10:03 - mmengine - INFO - Iter(train) [110100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:33:21 time: 1.0304 data_time: 0.0183 memory: 23869 grad_norm: 25.1025 loss: 11.2870 loss_cls: 0.3732 loss_bbox: 0.2009 loss_iou: 0.3752 d0.loss_cls: 0.4157 d0.loss_bbox: 0.2110 d0.loss_iou: 0.3937 d1.loss_cls: 0.3954 d1.loss_bbox: 0.2113 d1.loss_iou: 0.3837 d2.loss_cls: 0.3943 d2.loss_bbox: 0.1983 d2.loss_iou: 0.3736 d3.loss_cls: 0.3805 d3.loss_bbox: 0.2042 d3.loss_iou: 0.3766 d4.loss_cls: 0.3720 d4.loss_bbox: 0.2011 d4.loss_iou: 0.3754 enc_loss_cls: 0.4400 enc_loss_bbox: 0.2249 enc_loss_iou: 0.4164 dn_loss_cls: 0.0823 dn_loss_bbox: 0.1680 dn_loss_iou: 0.2434 d0.dn_loss_cls: 0.1698 d0.dn_loss_bbox: 0.3177 d0.dn_loss_iou: 0.3941 d1.dn_loss_cls: 0.1121 d1.dn_loss_bbox: 0.2032 d1.dn_loss_iou: 0.2773 d2.dn_loss_cls: 0.0987 d2.dn_loss_bbox: 0.1784 d2.dn_loss_iou: 0.2524 d3.dn_loss_cls: 0.0891 d3.dn_loss_bbox: 0.1690 d3.dn_loss_iou: 0.2449 d4.dn_loss_cls: 0.0828 d4.dn_loss_bbox: 0.1681 d4.dn_loss_iou: 0.2434 d1.loss_lmm_region: 0.1160 loss_lmm_image: 0.7587 +2024/11/08 13:11:46 - mmengine - INFO - Iter(train) [110200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:31:36 time: 1.0221 data_time: 0.0183 memory: 23318 grad_norm: 22.9260 loss: 9.3119 loss_cls: 0.2821 loss_bbox: 0.1456 loss_iou: 0.2696 d0.loss_cls: 0.3096 d0.loss_bbox: 0.1584 d0.loss_iou: 0.2868 d1.loss_cls: 0.2969 d1.loss_bbox: 0.1516 d1.loss_iou: 0.2719 d2.loss_cls: 0.2924 d2.loss_bbox: 0.1442 d2.loss_iou: 0.2699 d3.loss_cls: 0.2872 d3.loss_bbox: 0.1458 d3.loss_iou: 0.2673 d4.loss_cls: 0.2854 d4.loss_bbox: 0.1431 d4.loss_iou: 0.2669 enc_loss_cls: 0.3207 enc_loss_bbox: 0.1754 enc_loss_iou: 0.3055 dn_loss_cls: 0.0741 dn_loss_bbox: 0.1715 dn_loss_iou: 0.2300 d0.dn_loss_cls: 0.1567 d0.dn_loss_bbox: 0.3111 d0.dn_loss_iou: 0.3682 d1.dn_loss_cls: 0.1052 d1.dn_loss_bbox: 0.1986 d1.dn_loss_iou: 0.2582 d2.dn_loss_cls: 0.0889 d2.dn_loss_bbox: 0.1788 d2.dn_loss_iou: 0.2374 d3.dn_loss_cls: 0.0781 d3.dn_loss_bbox: 0.1725 d3.dn_loss_iou: 0.2315 d4.dn_loss_cls: 0.0745 d4.dn_loss_bbox: 0.1717 d4.dn_loss_iou: 0.2301 d1.loss_lmm_region: 0.1269 loss_lmm_image: 0.7716 +2024/11/08 13:13:28 - mmengine - INFO - Iter(train) [110300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:29:51 time: 1.0293 data_time: 0.0182 memory: 23131 grad_norm: 19.8391 loss: 9.1858 loss_cls: 0.2974 loss_bbox: 0.1418 loss_iou: 0.2449 d0.loss_cls: 0.3278 d0.loss_bbox: 0.1532 d0.loss_iou: 0.2587 d1.loss_cls: 0.3158 d1.loss_bbox: 0.1443 d1.loss_iou: 0.2440 d2.loss_cls: 0.3121 d2.loss_bbox: 0.1410 d2.loss_iou: 0.2429 d3.loss_cls: 0.3058 d3.loss_bbox: 0.1388 d3.loss_iou: 0.2409 d4.loss_cls: 0.2998 d4.loss_bbox: 0.1409 d4.loss_iou: 0.2442 enc_loss_cls: 0.3500 enc_loss_bbox: 0.1748 enc_loss_iou: 0.2864 dn_loss_cls: 0.0819 dn_loss_bbox: 0.1612 dn_loss_iou: 0.2112 d0.dn_loss_cls: 0.1735 d0.dn_loss_bbox: 0.3084 d0.dn_loss_iou: 0.3554 d1.dn_loss_cls: 0.1161 d1.dn_loss_bbox: 0.1958 d1.dn_loss_iou: 0.2432 d2.dn_loss_cls: 0.0985 d2.dn_loss_bbox: 0.1677 d2.dn_loss_iou: 0.2183 d3.dn_loss_cls: 0.0884 d3.dn_loss_bbox: 0.1622 d3.dn_loss_iou: 0.2120 d4.dn_loss_cls: 0.0823 d4.dn_loss_bbox: 0.1613 d4.dn_loss_iou: 0.2113 d1.loss_lmm_region: 0.1371 loss_lmm_image: 0.7945 +2024/11/08 13:15:11 - mmengine - INFO - Iter(train) [110400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:28:07 time: 1.0257 data_time: 0.0185 memory: 24193 grad_norm: 20.9368 loss: 9.6123 loss_cls: 0.2960 loss_bbox: 0.1597 loss_iou: 0.2858 d0.loss_cls: 0.3440 d0.loss_bbox: 0.1617 d0.loss_iou: 0.2993 d1.loss_cls: 0.3200 d1.loss_bbox: 0.1579 d1.loss_iou: 0.2892 d2.loss_cls: 0.3129 d2.loss_bbox: 0.1550 d2.loss_iou: 0.2845 d3.loss_cls: 0.3032 d3.loss_bbox: 0.1576 d3.loss_iou: 0.2855 d4.loss_cls: 0.2953 d4.loss_bbox: 0.1610 d4.loss_iou: 0.2867 enc_loss_cls: 0.3541 enc_loss_bbox: 0.1741 enc_loss_iou: 0.3164 dn_loss_cls: 0.0798 dn_loss_bbox: 0.1702 dn_loss_iou: 0.2189 d0.dn_loss_cls: 0.1715 d0.dn_loss_bbox: 0.3228 d0.dn_loss_iou: 0.3659 d1.dn_loss_cls: 0.1102 d1.dn_loss_bbox: 0.2006 d1.dn_loss_iou: 0.2501 d2.dn_loss_cls: 0.0931 d2.dn_loss_bbox: 0.1764 d2.dn_loss_iou: 0.2261 d3.dn_loss_cls: 0.0840 d3.dn_loss_bbox: 0.1721 d3.dn_loss_iou: 0.2202 d4.dn_loss_cls: 0.0804 d4.dn_loss_bbox: 0.1700 d4.dn_loss_iou: 0.2188 d1.loss_lmm_region: 0.1415 loss_lmm_image: 0.7397 +2024/11/08 13:16:54 - mmengine - INFO - Iter(train) [110500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:26:22 time: 1.0280 data_time: 0.0183 memory: 23259 grad_norm: 21.2133 loss: 8.7399 loss_cls: 0.2604 loss_bbox: 0.1269 loss_iou: 0.2304 d0.loss_cls: 0.2835 d0.loss_bbox: 0.1501 d0.loss_iou: 0.2524 d1.loss_cls: 0.2761 d1.loss_bbox: 0.1344 d1.loss_iou: 0.2357 d2.loss_cls: 0.2657 d2.loss_bbox: 0.1326 d2.loss_iou: 0.2337 d3.loss_cls: 0.2659 d3.loss_bbox: 0.1284 d3.loss_iou: 0.2297 d4.loss_cls: 0.2575 d4.loss_bbox: 0.1291 d4.loss_iou: 0.2316 enc_loss_cls: 0.2993 enc_loss_bbox: 0.1592 enc_loss_iou: 0.2687 dn_loss_cls: 0.0744 dn_loss_bbox: 0.1677 dn_loss_iou: 0.2193 d0.dn_loss_cls: 0.1638 d0.dn_loss_bbox: 0.3272 d0.dn_loss_iou: 0.3760 d1.dn_loss_cls: 0.1073 d1.dn_loss_bbox: 0.2047 d1.dn_loss_iou: 0.2562 d2.dn_loss_cls: 0.0899 d2.dn_loss_bbox: 0.1793 d2.dn_loss_iou: 0.2305 d3.dn_loss_cls: 0.0798 d3.dn_loss_bbox: 0.1687 d3.dn_loss_iou: 0.2209 d4.dn_loss_cls: 0.0740 d4.dn_loss_bbox: 0.1677 d4.dn_loss_iou: 0.2192 d1.loss_lmm_region: 0.1104 loss_lmm_image: 0.7516 +2024/11/08 13:18:37 - mmengine - INFO - Iter(train) [110600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:24:37 time: 1.0142 data_time: 0.0183 memory: 23722 grad_norm: 21.8629 loss: 10.1549 loss_cls: 0.3196 loss_bbox: 0.1677 loss_iou: 0.2938 d0.loss_cls: 0.3557 d0.loss_bbox: 0.1759 d0.loss_iou: 0.3153 d1.loss_cls: 0.3348 d1.loss_bbox: 0.1781 d1.loss_iou: 0.3076 d2.loss_cls: 0.3251 d2.loss_bbox: 0.1725 d2.loss_iou: 0.2993 d3.loss_cls: 0.3164 d3.loss_bbox: 0.1738 d3.loss_iou: 0.2989 d4.loss_cls: 0.3190 d4.loss_bbox: 0.1696 d4.loss_iou: 0.2945 enc_loss_cls: 0.3703 enc_loss_bbox: 0.1936 enc_loss_iou: 0.3329 dn_loss_cls: 0.1024 dn_loss_bbox: 0.1694 dn_loss_iou: 0.2310 d0.dn_loss_cls: 0.1794 d0.dn_loss_bbox: 0.3171 d0.dn_loss_iou: 0.3791 d1.dn_loss_cls: 0.1350 d1.dn_loss_bbox: 0.2024 d1.dn_loss_iou: 0.2637 d2.dn_loss_cls: 0.1209 d2.dn_loss_bbox: 0.1777 d2.dn_loss_iou: 0.2382 d3.dn_loss_cls: 0.1085 d3.dn_loss_bbox: 0.1691 d3.dn_loss_iou: 0.2317 d4.dn_loss_cls: 0.1027 d4.dn_loss_bbox: 0.1696 d4.dn_loss_iou: 0.2309 d1.loss_lmm_region: 0.1234 loss_lmm_image: 0.7884 +2024/11/08 13:20:20 - mmengine - INFO - Iter(train) [110700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:22:52 time: 1.0339 data_time: 0.0184 memory: 23936 grad_norm: 20.0299 loss: 8.8875 loss_cls: 0.2829 loss_bbox: 0.1277 loss_iou: 0.2475 d0.loss_cls: 0.3152 d0.loss_bbox: 0.1471 d0.loss_iou: 0.2658 d1.loss_cls: 0.2943 d1.loss_bbox: 0.1369 d1.loss_iou: 0.2569 d2.loss_cls: 0.2866 d2.loss_bbox: 0.1334 d2.loss_iou: 0.2521 d3.loss_cls: 0.2883 d3.loss_bbox: 0.1265 d3.loss_iou: 0.2474 d4.loss_cls: 0.2825 d4.loss_bbox: 0.1311 d4.loss_iou: 0.2472 enc_loss_cls: 0.3312 enc_loss_bbox: 0.1635 enc_loss_iou: 0.2937 dn_loss_cls: 0.0815 dn_loss_bbox: 0.1529 dn_loss_iou: 0.2030 d0.dn_loss_cls: 0.1624 d0.dn_loss_bbox: 0.3047 d0.dn_loss_iou: 0.3525 d1.dn_loss_cls: 0.1098 d1.dn_loss_bbox: 0.1860 d1.dn_loss_iou: 0.2362 d2.dn_loss_cls: 0.0946 d2.dn_loss_bbox: 0.1619 d2.dn_loss_iou: 0.2118 d3.dn_loss_cls: 0.0851 d3.dn_loss_bbox: 0.1537 d3.dn_loss_iou: 0.2044 d4.dn_loss_cls: 0.0819 d4.dn_loss_bbox: 0.1530 d4.dn_loss_iou: 0.2031 d1.loss_lmm_region: 0.1092 loss_lmm_image: 0.7821 +2024/11/08 13:22:02 - mmengine - INFO - Iter(train) [110800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:21:07 time: 1.0198 data_time: 0.0185 memory: 23673 grad_norm: 21.5133 loss: 9.2581 loss_cls: 0.3023 loss_bbox: 0.1412 loss_iou: 0.2491 d0.loss_cls: 0.3414 d0.loss_bbox: 0.1517 d0.loss_iou: 0.2727 d1.loss_cls: 0.3217 d1.loss_bbox: 0.1443 d1.loss_iou: 0.2562 d2.loss_cls: 0.3184 d2.loss_bbox: 0.1381 d2.loss_iou: 0.2486 d3.loss_cls: 0.3073 d3.loss_bbox: 0.1399 d3.loss_iou: 0.2508 d4.loss_cls: 0.3034 d4.loss_bbox: 0.1419 d4.loss_iou: 0.2493 enc_loss_cls: 0.3660 enc_loss_bbox: 0.1660 enc_loss_iou: 0.2901 dn_loss_cls: 0.0835 dn_loss_bbox: 0.1651 dn_loss_iou: 0.2065 d0.dn_loss_cls: 0.1665 d0.dn_loss_bbox: 0.3091 d0.dn_loss_iou: 0.3511 d1.dn_loss_cls: 0.1130 d1.dn_loss_bbox: 0.1972 d1.dn_loss_iou: 0.2387 d2.dn_loss_cls: 0.0994 d2.dn_loss_bbox: 0.1749 d2.dn_loss_iou: 0.2168 d3.dn_loss_cls: 0.0915 d3.dn_loss_bbox: 0.1648 d3.dn_loss_iou: 0.2079 d4.dn_loss_cls: 0.0854 d4.dn_loss_bbox: 0.1652 d4.dn_loss_iou: 0.2066 d1.loss_lmm_region: 0.1378 loss_lmm_image: 0.7768 +2024/11/08 13:23:45 - mmengine - INFO - Iter(train) [110900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:19:23 time: 1.0265 data_time: 0.0184 memory: 23487 grad_norm: 22.1503 loss: 10.1061 loss_cls: 0.3311 loss_bbox: 0.1619 loss_iou: 0.2926 d0.loss_cls: 0.3824 d0.loss_bbox: 0.1707 d0.loss_iou: 0.3056 d1.loss_cls: 0.3607 d1.loss_bbox: 0.1633 d1.loss_iou: 0.2961 d2.loss_cls: 0.3490 d2.loss_bbox: 0.1612 d2.loss_iou: 0.2935 d3.loss_cls: 0.3364 d3.loss_bbox: 0.1636 d3.loss_iou: 0.2936 d4.loss_cls: 0.3314 d4.loss_bbox: 0.1600 d4.loss_iou: 0.2925 enc_loss_cls: 0.3925 enc_loss_bbox: 0.1846 enc_loss_iou: 0.3339 dn_loss_cls: 0.0891 dn_loss_bbox: 0.1686 dn_loss_iou: 0.2322 d0.dn_loss_cls: 0.1837 d0.dn_loss_bbox: 0.3018 d0.dn_loss_iou: 0.3729 d1.dn_loss_cls: 0.1229 d1.dn_loss_bbox: 0.2006 d1.dn_loss_iou: 0.2650 d2.dn_loss_cls: 0.1051 d2.dn_loss_bbox: 0.1760 d2.dn_loss_iou: 0.2407 d3.dn_loss_cls: 0.0912 d3.dn_loss_bbox: 0.1699 d3.dn_loss_iou: 0.2341 d4.dn_loss_cls: 0.0892 d4.dn_loss_bbox: 0.1686 d4.dn_loss_iou: 0.2324 d1.loss_lmm_region: 0.1286 loss_lmm_image: 0.7771 +2024/11/08 13:25:28 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/08 13:25:28 - mmengine - INFO - Iter(train) [111000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:17:38 time: 1.0302 data_time: 0.0186 memory: 23331 grad_norm: 23.5976 loss: 9.8857 loss_cls: 0.2853 loss_bbox: 0.1703 loss_iou: 0.3091 d0.loss_cls: 0.3156 d0.loss_bbox: 0.1872 d0.loss_iou: 0.3315 d1.loss_cls: 0.3021 d1.loss_bbox: 0.1728 d1.loss_iou: 0.3148 d2.loss_cls: 0.2977 d2.loss_bbox: 0.1697 d2.loss_iou: 0.3108 d3.loss_cls: 0.2914 d3.loss_bbox: 0.1704 d3.loss_iou: 0.3114 d4.loss_cls: 0.2868 d4.loss_bbox: 0.1710 d4.loss_iou: 0.3098 enc_loss_cls: 0.3441 enc_loss_bbox: 0.1922 enc_loss_iou: 0.3455 dn_loss_cls: 0.0712 dn_loss_bbox: 0.1671 dn_loss_iou: 0.2426 d0.dn_loss_cls: 0.1604 d0.dn_loss_bbox: 0.3148 d0.dn_loss_iou: 0.3899 d1.dn_loss_cls: 0.1065 d1.dn_loss_bbox: 0.2017 d1.dn_loss_iou: 0.2763 d2.dn_loss_cls: 0.0879 d2.dn_loss_bbox: 0.1754 d2.dn_loss_iou: 0.2508 d3.dn_loss_cls: 0.0769 d3.dn_loss_bbox: 0.1692 d3.dn_loss_iou: 0.2442 d4.dn_loss_cls: 0.0714 d4.dn_loss_bbox: 0.1670 d4.dn_loss_iou: 0.2425 d1.loss_lmm_region: 0.1278 loss_lmm_image: 0.7526 +2024/11/08 13:27:10 - mmengine - INFO - Iter(train) [111100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:15:53 time: 1.0246 data_time: 0.0184 memory: 23815 grad_norm: nan loss: 8.5148 loss_cls: 0.2585 loss_bbox: 0.1114 loss_iou: 0.2124 d0.loss_cls: 0.2876 d0.loss_bbox: 0.1286 d0.loss_iou: 0.2350 d1.loss_cls: 0.2706 d1.loss_bbox: 0.1192 d1.loss_iou: 0.2216 d2.loss_cls: 0.2651 d2.loss_bbox: 0.1149 d2.loss_iou: 0.2191 d3.loss_cls: 0.2608 d3.loss_bbox: 0.1132 d3.loss_iou: 0.2173 d4.loss_cls: 0.2594 d4.loss_bbox: 0.1114 d4.loss_iou: 0.2147 enc_loss_cls: 0.3043 enc_loss_bbox: 0.1434 enc_loss_iou: 0.2564 dn_loss_cls: 0.0824 dn_loss_bbox: 0.1782 dn_loss_iou: 0.2049 d0.dn_loss_cls: 0.1698 d0.dn_loss_bbox: 0.3319 d0.dn_loss_iou: 0.3462 d1.dn_loss_cls: 0.1149 d1.dn_loss_bbox: 0.2146 d1.dn_loss_iou: 0.2385 d2.dn_loss_cls: 0.0990 d2.dn_loss_bbox: 0.1875 d2.dn_loss_iou: 0.2136 d3.dn_loss_cls: 0.0890 d3.dn_loss_bbox: 0.1799 d3.dn_loss_iou: 0.2063 d4.dn_loss_cls: 0.0829 d4.dn_loss_bbox: 0.1782 d4.dn_loss_iou: 0.2048 d1.loss_lmm_region: 0.1317 loss_lmm_image: 0.7355 +2024/11/08 13:28:53 - mmengine - INFO - Iter(train) [111200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:14:08 time: 1.0227 data_time: 0.0184 memory: 23221 grad_norm: 21.6785 loss: 9.1048 loss_cls: 0.2644 loss_bbox: 0.1314 loss_iou: 0.2330 d0.loss_cls: 0.2781 d0.loss_bbox: 0.1560 d0.loss_iou: 0.2520 d1.loss_cls: 0.2657 d1.loss_bbox: 0.1469 d1.loss_iou: 0.2434 d2.loss_cls: 0.2645 d2.loss_bbox: 0.1373 d2.loss_iou: 0.2359 d3.loss_cls: 0.2632 d3.loss_bbox: 0.1348 d3.loss_iou: 0.2338 d4.loss_cls: 0.2639 d4.loss_bbox: 0.1335 d4.loss_iou: 0.2338 enc_loss_cls: 0.2984 enc_loss_bbox: 0.1658 enc_loss_iou: 0.2689 dn_loss_cls: 0.0895 dn_loss_bbox: 0.1910 dn_loss_iou: 0.2442 d0.dn_loss_cls: 0.1721 d0.dn_loss_bbox: 0.3374 d0.dn_loss_iou: 0.3995 d1.dn_loss_cls: 0.1200 d1.dn_loss_bbox: 0.2192 d1.dn_loss_iou: 0.2752 d2.dn_loss_cls: 0.0999 d2.dn_loss_bbox: 0.2003 d2.dn_loss_iou: 0.2513 d3.dn_loss_cls: 0.0937 d3.dn_loss_bbox: 0.1914 d3.dn_loss_iou: 0.2450 d4.dn_loss_cls: 0.0915 d4.dn_loss_bbox: 0.1908 d4.dn_loss_iou: 0.2441 d1.loss_lmm_region: 0.1083 loss_lmm_image: 0.7356 +2024/11/08 13:30:35 - mmengine - INFO - Iter(train) [111300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:12:23 time: 1.0169 data_time: 0.0183 memory: 23517 grad_norm: 21.3872 loss: 8.2026 loss_cls: 0.2312 loss_bbox: 0.1236 loss_iou: 0.2355 d0.loss_cls: 0.2674 d0.loss_bbox: 0.1382 d0.loss_iou: 0.2542 d1.loss_cls: 0.2475 d1.loss_bbox: 0.1287 d1.loss_iou: 0.2395 d2.loss_cls: 0.2391 d2.loss_bbox: 0.1249 d2.loss_iou: 0.2362 d3.loss_cls: 0.2351 d3.loss_bbox: 0.1245 d3.loss_iou: 0.2366 d4.loss_cls: 0.2318 d4.loss_bbox: 0.1235 d4.loss_iou: 0.2357 enc_loss_cls: 0.2840 enc_loss_bbox: 0.1549 enc_loss_iou: 0.2759 dn_loss_cls: 0.0605 dn_loss_bbox: 0.1405 dn_loss_iou: 0.2062 d0.dn_loss_cls: 0.1458 d0.dn_loss_bbox: 0.2908 d0.dn_loss_iou: 0.3530 d1.dn_loss_cls: 0.0885 d1.dn_loss_bbox: 0.1741 d1.dn_loss_iou: 0.2386 d2.dn_loss_cls: 0.0740 d2.dn_loss_bbox: 0.1480 d2.dn_loss_iou: 0.2143 d3.dn_loss_cls: 0.0658 d3.dn_loss_bbox: 0.1422 d3.dn_loss_iou: 0.2077 d4.dn_loss_cls: 0.0619 d4.dn_loss_bbox: 0.1404 d4.dn_loss_iou: 0.2061 d1.loss_lmm_region: 0.1266 loss_lmm_image: 0.7499 +2024/11/08 13:32:18 - mmengine - INFO - Iter(train) [111400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:10:39 time: 1.0380 data_time: 0.0183 memory: 23970 grad_norm: 27.2396 loss: 9.0895 loss_cls: 0.3089 loss_bbox: 0.1304 loss_iou: 0.2763 d0.loss_cls: 0.3387 d0.loss_bbox: 0.1419 d0.loss_iou: 0.3004 d1.loss_cls: 0.3254 d1.loss_bbox: 0.1341 d1.loss_iou: 0.2838 d2.loss_cls: 0.3150 d2.loss_bbox: 0.1307 d2.loss_iou: 0.2756 d3.loss_cls: 0.3150 d3.loss_bbox: 0.1273 d3.loss_iou: 0.2750 d4.loss_cls: 0.3119 d4.loss_bbox: 0.1265 d4.loss_iou: 0.2733 enc_loss_cls: 0.3655 enc_loss_bbox: 0.1560 enc_loss_iou: 0.3195 dn_loss_cls: 0.0823 dn_loss_bbox: 0.1328 dn_loss_iou: 0.1932 d0.dn_loss_cls: 0.1547 d0.dn_loss_bbox: 0.2649 d0.dn_loss_iou: 0.3423 d1.dn_loss_cls: 0.1058 d1.dn_loss_bbox: 0.1606 d1.dn_loss_iou: 0.2255 d2.dn_loss_cls: 0.0938 d2.dn_loss_bbox: 0.1401 d2.dn_loss_iou: 0.1998 d3.dn_loss_cls: 0.0863 d3.dn_loss_bbox: 0.1344 d3.dn_loss_iou: 0.1948 d4.dn_loss_cls: 0.0828 d4.dn_loss_bbox: 0.1327 d4.dn_loss_iou: 0.1931 d1.loss_lmm_region: 0.1324 loss_lmm_image: 0.8060 +2024/11/08 13:34:01 - mmengine - INFO - Iter(train) [111500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:08:54 time: 1.0329 data_time: 0.0185 memory: 24411 grad_norm: 23.3889 loss: 8.9992 loss_cls: 0.2617 loss_bbox: 0.1414 loss_iou: 0.2560 d0.loss_cls: 0.2981 d0.loss_bbox: 0.1569 d0.loss_iou: 0.2696 d1.loss_cls: 0.2810 d1.loss_bbox: 0.1465 d1.loss_iou: 0.2626 d2.loss_cls: 0.2727 d2.loss_bbox: 0.1438 d2.loss_iou: 0.2566 d3.loss_cls: 0.2699 d3.loss_bbox: 0.1414 d3.loss_iou: 0.2550 d4.loss_cls: 0.2628 d4.loss_bbox: 0.1411 d4.loss_iou: 0.2559 enc_loss_cls: 0.3206 enc_loss_bbox: 0.1666 enc_loss_iou: 0.2940 dn_loss_cls: 0.0771 dn_loss_bbox: 0.1623 dn_loss_iou: 0.2239 d0.dn_loss_cls: 0.1589 d0.dn_loss_bbox: 0.3165 d0.dn_loss_iou: 0.3724 d1.dn_loss_cls: 0.1034 d1.dn_loss_bbox: 0.2001 d1.dn_loss_iou: 0.2591 d2.dn_loss_cls: 0.0886 d2.dn_loss_bbox: 0.1723 d2.dn_loss_iou: 0.2333 d3.dn_loss_cls: 0.0792 d3.dn_loss_bbox: 0.1639 d3.dn_loss_iou: 0.2252 d4.dn_loss_cls: 0.0765 d4.dn_loss_bbox: 0.1624 d4.dn_loss_iou: 0.2240 d1.loss_lmm_region: 0.1197 loss_lmm_image: 0.7265 +2024/11/08 13:35:45 - mmengine - INFO - Iter(train) [111600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:07:09 time: 1.0231 data_time: 0.0183 memory: 23615 grad_norm: 21.8354 loss: 9.2525 loss_cls: 0.2964 loss_bbox: 0.1357 loss_iou: 0.2546 d0.loss_cls: 0.3249 d0.loss_bbox: 0.1504 d0.loss_iou: 0.2727 d1.loss_cls: 0.3046 d1.loss_bbox: 0.1432 d1.loss_iou: 0.2591 d2.loss_cls: 0.2972 d2.loss_bbox: 0.1413 d2.loss_iou: 0.2596 d3.loss_cls: 0.3019 d3.loss_bbox: 0.1358 d3.loss_iou: 0.2544 d4.loss_cls: 0.2956 d4.loss_bbox: 0.1355 d4.loss_iou: 0.2535 enc_loss_cls: 0.3459 enc_loss_bbox: 0.1615 enc_loss_iou: 0.2922 dn_loss_cls: 0.1090 dn_loss_bbox: 0.1464 dn_loss_iou: 0.2126 d0.dn_loss_cls: 0.1888 d0.dn_loss_bbox: 0.2997 d0.dn_loss_iou: 0.3596 d1.dn_loss_cls: 0.1382 d1.dn_loss_bbox: 0.1743 d1.dn_loss_iou: 0.2404 d2.dn_loss_cls: 0.1210 d2.dn_loss_bbox: 0.1502 d2.dn_loss_iou: 0.2179 d3.dn_loss_cls: 0.1122 d3.dn_loss_bbox: 0.1473 d3.dn_loss_iou: 0.2133 d4.dn_loss_cls: 0.1083 d4.dn_loss_bbox: 0.1463 d4.dn_loss_iou: 0.2126 d1.loss_lmm_region: 0.1365 loss_lmm_image: 0.8018 +2024/11/08 13:37:27 - mmengine - INFO - Iter(train) [111700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:05:24 time: 1.0197 data_time: 0.0185 memory: 23536 grad_norm: 20.5658 loss: 8.4694 loss_cls: 0.2769 loss_bbox: 0.1223 loss_iou: 0.2257 d0.loss_cls: 0.3084 d0.loss_bbox: 0.1354 d0.loss_iou: 0.2429 d1.loss_cls: 0.2921 d1.loss_bbox: 0.1282 d1.loss_iou: 0.2326 d2.loss_cls: 0.2847 d2.loss_bbox: 0.1224 d2.loss_iou: 0.2257 d3.loss_cls: 0.2798 d3.loss_bbox: 0.1226 d3.loss_iou: 0.2253 d4.loss_cls: 0.2769 d4.loss_bbox: 0.1232 d4.loss_iou: 0.2262 enc_loss_cls: 0.3248 enc_loss_bbox: 0.1542 enc_loss_iou: 0.2717 dn_loss_cls: 0.0744 dn_loss_bbox: 0.1439 dn_loss_iou: 0.1817 d0.dn_loss_cls: 0.1599 d0.dn_loss_bbox: 0.3040 d0.dn_loss_iou: 0.3244 d1.dn_loss_cls: 0.1050 d1.dn_loss_bbox: 0.1772 d1.dn_loss_iou: 0.2115 d2.dn_loss_cls: 0.0889 d2.dn_loss_bbox: 0.1533 d2.dn_loss_iou: 0.1894 d3.dn_loss_cls: 0.0775 d3.dn_loss_bbox: 0.1453 d3.dn_loss_iou: 0.1829 d4.dn_loss_cls: 0.0744 d4.dn_loss_bbox: 0.1439 d4.dn_loss_iou: 0.1817 d1.loss_lmm_region: 0.1195 loss_lmm_image: 0.8285 +2024/11/08 13:39:10 - mmengine - INFO - Iter(train) [111800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:03:40 time: 1.0249 data_time: 0.0183 memory: 24143 grad_norm: 22.0335 loss: 9.1412 loss_cls: 0.2789 loss_bbox: 0.1370 loss_iou: 0.2632 d0.loss_cls: 0.3107 d0.loss_bbox: 0.1484 d0.loss_iou: 0.2807 d1.loss_cls: 0.3004 d1.loss_bbox: 0.1413 d1.loss_iou: 0.2699 d2.loss_cls: 0.2894 d2.loss_bbox: 0.1421 d2.loss_iou: 0.2672 d3.loss_cls: 0.2839 d3.loss_bbox: 0.1373 d3.loss_iou: 0.2655 d4.loss_cls: 0.2812 d4.loss_bbox: 0.1368 d4.loss_iou: 0.2625 enc_loss_cls: 0.3249 enc_loss_bbox: 0.1595 enc_loss_iou: 0.2984 dn_loss_cls: 0.0731 dn_loss_bbox: 0.1598 dn_loss_iou: 0.2231 d0.dn_loss_cls: 0.1605 d0.dn_loss_bbox: 0.3173 d0.dn_loss_iou: 0.3782 d1.dn_loss_cls: 0.1037 d1.dn_loss_bbox: 0.1866 d1.dn_loss_iou: 0.2536 d2.dn_loss_cls: 0.0890 d2.dn_loss_bbox: 0.1664 d2.dn_loss_iou: 0.2303 d3.dn_loss_cls: 0.0774 d3.dn_loss_bbox: 0.1607 d3.dn_loss_iou: 0.2240 d4.dn_loss_cls: 0.0735 d4.dn_loss_bbox: 0.1597 d4.dn_loss_iou: 0.2232 d1.loss_lmm_region: 0.1160 loss_lmm_image: 0.7860 +2024/11/08 13:40:53 - mmengine - INFO - Iter(train) [111900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:01:55 time: 1.0325 data_time: 0.0184 memory: 22908 grad_norm: 22.7311 loss: 9.4713 loss_cls: 0.2921 loss_bbox: 0.1369 loss_iou: 0.2720 d0.loss_cls: 0.3131 d0.loss_bbox: 0.1497 d0.loss_iou: 0.2903 d1.loss_cls: 0.3016 d1.loss_bbox: 0.1399 d1.loss_iou: 0.2791 d2.loss_cls: 0.2982 d2.loss_bbox: 0.1364 d2.loss_iou: 0.2743 d3.loss_cls: 0.2952 d3.loss_bbox: 0.1362 d3.loss_iou: 0.2734 d4.loss_cls: 0.2910 d4.loss_bbox: 0.1385 d4.loss_iou: 0.2737 enc_loss_cls: 0.3366 enc_loss_bbox: 0.1565 enc_loss_iou: 0.3050 dn_loss_cls: 0.0850 dn_loss_bbox: 0.1691 dn_loss_iou: 0.2284 d0.dn_loss_cls: 0.1869 d0.dn_loss_bbox: 0.3232 d0.dn_loss_iou: 0.3782 d1.dn_loss_cls: 0.1281 d1.dn_loss_bbox: 0.2052 d1.dn_loss_iou: 0.2623 d2.dn_loss_cls: 0.1059 d2.dn_loss_bbox: 0.1785 d2.dn_loss_iou: 0.2367 d3.dn_loss_cls: 0.0936 d3.dn_loss_bbox: 0.1702 d3.dn_loss_iou: 0.2294 d4.dn_loss_cls: 0.0875 d4.dn_loss_bbox: 0.1692 d4.dn_loss_iou: 0.2282 d1.loss_lmm_region: 0.1382 loss_lmm_image: 0.7776 +2024/11/08 13:42:35 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/08 13:42:35 - mmengine - INFO - Iter(train) [112000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:00:10 time: 1.0221 data_time: 0.0184 memory: 23464 grad_norm: 41.2761 loss: 9.9243 loss_cls: 0.3043 loss_bbox: 0.1528 loss_iou: 0.2819 d0.loss_cls: 0.3468 d0.loss_bbox: 0.1726 d0.loss_iou: 0.3042 d1.loss_cls: 0.3272 d1.loss_bbox: 0.1566 d1.loss_iou: 0.2884 d2.loss_cls: 0.3146 d2.loss_bbox: 0.1534 d2.loss_iou: 0.2823 d3.loss_cls: 0.3113 d3.loss_bbox: 0.1515 d3.loss_iou: 0.2810 d4.loss_cls: 0.3043 d4.loss_bbox: 0.1529 d4.loss_iou: 0.2824 enc_loss_cls: 0.3652 enc_loss_bbox: 0.1848 enc_loss_iou: 0.3248 dn_loss_cls: 0.0802 dn_loss_bbox: 0.1781 dn_loss_iou: 0.2374 d0.dn_loss_cls: 0.1734 d0.dn_loss_bbox: 0.3392 d0.dn_loss_iou: 0.3875 d1.dn_loss_cls: 0.1132 d1.dn_loss_bbox: 0.2193 d1.dn_loss_iou: 0.2726 d2.dn_loss_cls: 0.0950 d2.dn_loss_bbox: 0.1880 d2.dn_loss_iou: 0.2456 d3.dn_loss_cls: 0.0867 d3.dn_loss_bbox: 0.1802 d3.dn_loss_iou: 0.2394 d4.dn_loss_cls: 0.0813 d4.dn_loss_bbox: 0.1782 d4.dn_loss_iou: 0.2374 d1.loss_lmm_region: 0.1536 loss_lmm_image: 0.7946 +2024/11/08 13:44:19 - mmengine - INFO - Iter(train) [112100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:58:26 time: 1.0347 data_time: 0.0184 memory: 24600 grad_norm: 24.9353 loss: 8.6149 loss_cls: 0.2670 loss_bbox: 0.1139 loss_iou: 0.2195 d0.loss_cls: 0.2888 d0.loss_bbox: 0.1250 d0.loss_iou: 0.2341 d1.loss_cls: 0.2794 d1.loss_bbox: 0.1175 d1.loss_iou: 0.2251 d2.loss_cls: 0.2718 d2.loss_bbox: 0.1141 d2.loss_iou: 0.2195 d3.loss_cls: 0.2693 d3.loss_bbox: 0.1145 d3.loss_iou: 0.2193 d4.loss_cls: 0.2696 d4.loss_bbox: 0.1122 d4.loss_iou: 0.2183 enc_loss_cls: 0.3070 enc_loss_bbox: 0.1361 enc_loss_iou: 0.2535 dn_loss_cls: 0.0868 dn_loss_bbox: 0.1631 dn_loss_iou: 0.2090 d0.dn_loss_cls: 0.1620 d0.dn_loss_bbox: 0.3356 d0.dn_loss_iou: 0.3661 d1.dn_loss_cls: 0.1121 d1.dn_loss_bbox: 0.1980 d1.dn_loss_iou: 0.2439 d2.dn_loss_cls: 0.0970 d2.dn_loss_bbox: 0.1722 d2.dn_loss_iou: 0.2182 d3.dn_loss_cls: 0.0915 d3.dn_loss_bbox: 0.1645 d3.dn_loss_iou: 0.2104 d4.dn_loss_cls: 0.0882 d4.dn_loss_bbox: 0.1631 d4.dn_loss_iou: 0.2090 d1.loss_lmm_region: 0.1184 loss_lmm_image: 0.8306 +2024/11/08 13:46:02 - mmengine - INFO - Iter(train) [112200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:56:41 time: 1.0232 data_time: 0.0185 memory: 23049 grad_norm: 22.7367 loss: 9.5508 loss_cls: 0.3002 loss_bbox: 0.1522 loss_iou: 0.2728 d0.loss_cls: 0.3348 d0.loss_bbox: 0.1643 d0.loss_iou: 0.2902 d1.loss_cls: 0.3163 d1.loss_bbox: 0.1555 d1.loss_iou: 0.2790 d2.loss_cls: 0.3146 d2.loss_bbox: 0.1490 d2.loss_iou: 0.2698 d3.loss_cls: 0.3085 d3.loss_bbox: 0.1522 d3.loss_iou: 0.2732 d4.loss_cls: 0.3041 d4.loss_bbox: 0.1511 d4.loss_iou: 0.2721 enc_loss_cls: 0.3608 enc_loss_bbox: 0.1777 enc_loss_iou: 0.3067 dn_loss_cls: 0.0746 dn_loss_bbox: 0.1676 dn_loss_iou: 0.2233 d0.dn_loss_cls: 0.1615 d0.dn_loss_bbox: 0.3138 d0.dn_loss_iou: 0.3735 d1.dn_loss_cls: 0.1024 d1.dn_loss_bbox: 0.2002 d1.dn_loss_iou: 0.2567 d2.dn_loss_cls: 0.0856 d2.dn_loss_bbox: 0.1772 d2.dn_loss_iou: 0.2327 d3.dn_loss_cls: 0.0782 d3.dn_loss_bbox: 0.1696 d3.dn_loss_iou: 0.2254 d4.dn_loss_cls: 0.0752 d4.dn_loss_bbox: 0.1676 d4.dn_loss_iou: 0.2232 d1.loss_lmm_region: 0.1359 loss_lmm_image: 0.8018 +2024/11/08 13:47:45 - mmengine - INFO - Iter(train) [112300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:54:56 time: 1.0271 data_time: 0.0183 memory: 24377 grad_norm: 26.1049 loss: 9.2382 loss_cls: 0.2760 loss_bbox: 0.1420 loss_iou: 0.2695 d0.loss_cls: 0.3153 d0.loss_bbox: 0.1583 d0.loss_iou: 0.2883 d1.loss_cls: 0.2927 d1.loss_bbox: 0.1491 d1.loss_iou: 0.2745 d2.loss_cls: 0.2888 d2.loss_bbox: 0.1432 d2.loss_iou: 0.2703 d3.loss_cls: 0.2831 d3.loss_bbox: 0.1426 d3.loss_iou: 0.2690 d4.loss_cls: 0.2781 d4.loss_bbox: 0.1420 d4.loss_iou: 0.2695 enc_loss_cls: 0.3356 enc_loss_bbox: 0.1821 enc_loss_iou: 0.3162 dn_loss_cls: 0.0690 dn_loss_bbox: 0.1587 dn_loss_iou: 0.2153 d0.dn_loss_cls: 0.1494 d0.dn_loss_bbox: 0.3173 d0.dn_loss_iou: 0.3611 d1.dn_loss_cls: 0.0973 d1.dn_loss_bbox: 0.1996 d1.dn_loss_iou: 0.2502 d2.dn_loss_cls: 0.0822 d2.dn_loss_bbox: 0.1667 d2.dn_loss_iou: 0.2243 d3.dn_loss_cls: 0.0729 d3.dn_loss_bbox: 0.1604 d3.dn_loss_iou: 0.2164 d4.dn_loss_cls: 0.0700 d4.dn_loss_bbox: 0.1586 d4.dn_loss_iou: 0.2151 d1.loss_lmm_region: 0.1402 loss_lmm_image: 0.8270 +2024/11/08 13:49:27 - mmengine - INFO - Iter(train) [112400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:53:12 time: 1.0255 data_time: 0.0183 memory: 23668 grad_norm: 23.0027 loss: 9.9851 loss_cls: 0.3548 loss_bbox: 0.1530 loss_iou: 0.2628 d0.loss_cls: 0.3922 d0.loss_bbox: 0.1670 d0.loss_iou: 0.2797 d1.loss_cls: 0.3683 d1.loss_bbox: 0.1584 d1.loss_iou: 0.2693 d2.loss_cls: 0.3750 d2.loss_bbox: 0.1545 d2.loss_iou: 0.2641 d3.loss_cls: 0.3688 d3.loss_bbox: 0.1527 d3.loss_iou: 0.2611 d4.loss_cls: 0.3525 d4.loss_bbox: 0.1530 d4.loss_iou: 0.2617 enc_loss_cls: 0.4089 enc_loss_bbox: 0.1777 enc_loss_iou: 0.2982 dn_loss_cls: 0.0885 dn_loss_bbox: 0.1823 dn_loss_iou: 0.2150 d0.dn_loss_cls: 0.1716 d0.dn_loss_bbox: 0.3310 d0.dn_loss_iou: 0.3539 d1.dn_loss_cls: 0.1180 d1.dn_loss_bbox: 0.2137 d1.dn_loss_iou: 0.2461 d2.dn_loss_cls: 0.1011 d2.dn_loss_bbox: 0.1888 d2.dn_loss_iou: 0.2225 d3.dn_loss_cls: 0.0942 d3.dn_loss_bbox: 0.1832 d3.dn_loss_iou: 0.2163 d4.dn_loss_cls: 0.0892 d4.dn_loss_bbox: 0.1822 d4.dn_loss_iou: 0.2149 d1.loss_lmm_region: 0.1569 loss_lmm_image: 0.7820 +2024/11/08 13:51:09 - mmengine - INFO - Iter(train) [112500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:51:27 time: 1.0150 data_time: 0.0185 memory: 23457 grad_norm: 19.9952 loss: 10.2119 loss_cls: 0.3149 loss_bbox: 0.1842 loss_iou: 0.3052 d0.loss_cls: 0.3572 d0.loss_bbox: 0.1840 d0.loss_iou: 0.3120 d1.loss_cls: 0.3326 d1.loss_bbox: 0.1800 d1.loss_iou: 0.3050 d2.loss_cls: 0.3289 d2.loss_bbox: 0.1760 d2.loss_iou: 0.2999 d3.loss_cls: 0.3200 d3.loss_bbox: 0.1746 d3.loss_iou: 0.3024 d4.loss_cls: 0.3179 d4.loss_bbox: 0.1805 d4.loss_iou: 0.3034 enc_loss_cls: 0.3797 enc_loss_bbox: 0.1969 enc_loss_iou: 0.3313 dn_loss_cls: 0.0899 dn_loss_bbox: 0.1684 dn_loss_iou: 0.2365 d0.dn_loss_cls: 0.1781 d0.dn_loss_bbox: 0.3176 d0.dn_loss_iou: 0.3886 d1.dn_loss_cls: 0.1235 d1.dn_loss_bbox: 0.2014 d1.dn_loss_iou: 0.2699 d2.dn_loss_cls: 0.1041 d2.dn_loss_bbox: 0.1785 d2.dn_loss_iou: 0.2455 d3.dn_loss_cls: 0.0947 d3.dn_loss_bbox: 0.1694 d3.dn_loss_iou: 0.2376 d4.dn_loss_cls: 0.0905 d4.dn_loss_bbox: 0.1683 d4.dn_loss_iou: 0.2364 d1.loss_lmm_region: 0.1366 loss_lmm_image: 0.7898 +2024/11/08 13:52:52 - mmengine - INFO - Iter(train) [112600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:49:42 time: 1.0353 data_time: 0.0184 memory: 23667 grad_norm: 24.7375 loss: 9.0715 loss_cls: 0.2649 loss_bbox: 0.1388 loss_iou: 0.2474 d0.loss_cls: 0.3017 d0.loss_bbox: 0.1477 d0.loss_iou: 0.2595 d1.loss_cls: 0.2824 d1.loss_bbox: 0.1436 d1.loss_iou: 0.2504 d2.loss_cls: 0.2744 d2.loss_bbox: 0.1388 d2.loss_iou: 0.2446 d3.loss_cls: 0.2668 d3.loss_bbox: 0.1407 d3.loss_iou: 0.2458 d4.loss_cls: 0.2638 d4.loss_bbox: 0.1394 d4.loss_iou: 0.2458 enc_loss_cls: 0.3114 enc_loss_bbox: 0.1626 enc_loss_iou: 0.2789 dn_loss_cls: 0.0861 dn_loss_bbox: 0.1844 dn_loss_iou: 0.2196 d0.dn_loss_cls: 0.1639 d0.dn_loss_bbox: 0.3300 d0.dn_loss_iou: 0.3652 d1.dn_loss_cls: 0.1114 d1.dn_loss_bbox: 0.2181 d1.dn_loss_iou: 0.2526 d2.dn_loss_cls: 0.0953 d2.dn_loss_bbox: 0.1943 d2.dn_loss_iou: 0.2289 d3.dn_loss_cls: 0.0883 d3.dn_loss_bbox: 0.1851 d3.dn_loss_iou: 0.2210 d4.dn_loss_cls: 0.0841 d4.dn_loss_bbox: 0.1844 d4.dn_loss_iou: 0.2196 d1.loss_lmm_region: 0.1395 loss_lmm_image: 0.7502 +2024/11/08 13:54:35 - mmengine - INFO - Iter(train) [112700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:47:57 time: 1.0275 data_time: 0.0184 memory: 23481 grad_norm: 22.6017 loss: 10.6521 loss_cls: 0.3399 loss_bbox: 0.1833 loss_iou: 0.3051 d0.loss_cls: 0.3790 d0.loss_bbox: 0.1952 d0.loss_iou: 0.3163 d1.loss_cls: 0.3564 d1.loss_bbox: 0.1886 d1.loss_iou: 0.3101 d2.loss_cls: 0.3509 d2.loss_bbox: 0.1828 d2.loss_iou: 0.3047 d3.loss_cls: 0.3440 d3.loss_bbox: 0.1834 d3.loss_iou: 0.3055 d4.loss_cls: 0.3415 d4.loss_bbox: 0.1828 d4.loss_iou: 0.3031 enc_loss_cls: 0.3885 enc_loss_bbox: 0.2166 enc_loss_iou: 0.3469 dn_loss_cls: 0.0940 dn_loss_bbox: 0.2052 dn_loss_iou: 0.2442 d0.dn_loss_cls: 0.1798 d0.dn_loss_bbox: 0.3713 d0.dn_loss_iou: 0.3922 d1.dn_loss_cls: 0.1281 d1.dn_loss_bbox: 0.2433 d1.dn_loss_iou: 0.2776 d2.dn_loss_cls: 0.1091 d2.dn_loss_bbox: 0.2130 d2.dn_loss_iou: 0.2524 d3.dn_loss_cls: 0.0999 d3.dn_loss_bbox: 0.2063 d3.dn_loss_iou: 0.2456 d4.dn_loss_cls: 0.0951 d4.dn_loss_bbox: 0.2052 d4.dn_loss_iou: 0.2443 d1.loss_lmm_region: 0.1254 loss_lmm_image: 0.6955 +2024/11/08 13:56:19 - mmengine - INFO - Iter(train) [112800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:46:13 time: 1.0156 data_time: 0.0183 memory: 23600 grad_norm: 23.5539 loss: 9.8633 loss_cls: 0.2935 loss_bbox: 0.1655 loss_iou: 0.2676 d0.loss_cls: 0.3281 d0.loss_bbox: 0.1783 d0.loss_iou: 0.2787 d1.loss_cls: 0.3139 d1.loss_bbox: 0.1670 d1.loss_iou: 0.2676 d2.loss_cls: 0.3028 d2.loss_bbox: 0.1686 d2.loss_iou: 0.2671 d3.loss_cls: 0.2983 d3.loss_bbox: 0.1663 d3.loss_iou: 0.2672 d4.loss_cls: 0.2963 d4.loss_bbox: 0.1649 d4.loss_iou: 0.2666 enc_loss_cls: 0.3430 enc_loss_bbox: 0.2001 enc_loss_iou: 0.2990 dn_loss_cls: 0.0938 dn_loss_bbox: 0.1814 dn_loss_iou: 0.2276 d0.dn_loss_cls: 0.1937 d0.dn_loss_bbox: 0.3512 d0.dn_loss_iou: 0.3862 d1.dn_loss_cls: 0.1310 d1.dn_loss_bbox: 0.2161 d1.dn_loss_iou: 0.2606 d2.dn_loss_cls: 0.1108 d2.dn_loss_bbox: 0.1910 d2.dn_loss_iou: 0.2367 d3.dn_loss_cls: 0.0998 d3.dn_loss_bbox: 0.1825 d3.dn_loss_iou: 0.2290 d4.dn_loss_cls: 0.0953 d4.dn_loss_bbox: 0.1816 d4.dn_loss_iou: 0.2277 d1.loss_lmm_region: 0.1600 loss_lmm_image: 0.8067 +2024/11/08 13:58:02 - mmengine - INFO - Iter(train) [112900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:44:28 time: 1.0250 data_time: 0.0184 memory: 23162 grad_norm: 22.8112 loss: 8.7828 loss_cls: 0.2991 loss_bbox: 0.1169 loss_iou: 0.2595 d0.loss_cls: 0.3243 d0.loss_bbox: 0.1311 d0.loss_iou: 0.2795 d1.loss_cls: 0.3110 d1.loss_bbox: 0.1204 d1.loss_iou: 0.2679 d2.loss_cls: 0.3060 d2.loss_bbox: 0.1203 d2.loss_iou: 0.2620 d3.loss_cls: 0.3032 d3.loss_bbox: 0.1188 d3.loss_iou: 0.2582 d4.loss_cls: 0.2993 d4.loss_bbox: 0.1178 d4.loss_iou: 0.2601 enc_loss_cls: 0.3462 enc_loss_bbox: 0.1474 enc_loss_iou: 0.3013 dn_loss_cls: 0.0831 dn_loss_bbox: 0.1379 dn_loss_iou: 0.2016 d0.dn_loss_cls: 0.1519 d0.dn_loss_bbox: 0.2573 d0.dn_loss_iou: 0.3353 d1.dn_loss_cls: 0.1064 d1.dn_loss_bbox: 0.1682 d1.dn_loss_iou: 0.2326 d2.dn_loss_cls: 0.0938 d2.dn_loss_bbox: 0.1432 d2.dn_loss_iou: 0.2095 d3.dn_loss_cls: 0.0869 d3.dn_loss_bbox: 0.1396 d3.dn_loss_iou: 0.2028 d4.dn_loss_cls: 0.0846 d4.dn_loss_bbox: 0.1379 d4.dn_loss_iou: 0.2013 d1.loss_lmm_region: 0.0978 loss_lmm_image: 0.7609 +2024/11/08 13:59:44 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/08 13:59:44 - mmengine - INFO - Iter(train) [113000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:42:43 time: 1.0240 data_time: 0.0184 memory: 22979 grad_norm: 20.9693 loss: 9.5458 loss_cls: 0.2857 loss_bbox: 0.1526 loss_iou: 0.2743 d0.loss_cls: 0.3294 d0.loss_bbox: 0.1586 d0.loss_iou: 0.2875 d1.loss_cls: 0.3025 d1.loss_bbox: 0.1571 d1.loss_iou: 0.2819 d2.loss_cls: 0.2956 d2.loss_bbox: 0.1510 d2.loss_iou: 0.2753 d3.loss_cls: 0.2915 d3.loss_bbox: 0.1532 d3.loss_iou: 0.2751 d4.loss_cls: 0.2853 d4.loss_bbox: 0.1529 d4.loss_iou: 0.2754 enc_loss_cls: 0.3432 enc_loss_bbox: 0.1802 enc_loss_iou: 0.3110 dn_loss_cls: 0.0729 dn_loss_bbox: 0.1771 dn_loss_iou: 0.2291 d0.dn_loss_cls: 0.1620 d0.dn_loss_bbox: 0.3327 d0.dn_loss_iou: 0.3849 d1.dn_loss_cls: 0.1019 d1.dn_loss_bbox: 0.2113 d1.dn_loss_iou: 0.2645 d2.dn_loss_cls: 0.0845 d2.dn_loss_bbox: 0.1867 d2.dn_loss_iou: 0.2389 d3.dn_loss_cls: 0.0772 d3.dn_loss_bbox: 0.1775 d3.dn_loss_iou: 0.2304 d4.dn_loss_cls: 0.0734 d4.dn_loss_bbox: 0.1771 d4.dn_loss_iou: 0.2291 d1.loss_lmm_region: 0.1308 loss_lmm_image: 0.7847 +2024/11/08 14:01:27 - mmengine - INFO - Iter(train) [113100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:40:59 time: 1.0219 data_time: 0.0184 memory: 23196 grad_norm: 21.0297 loss: 10.3892 loss_cls: 0.3201 loss_bbox: 0.1689 loss_iou: 0.2780 d0.loss_cls: 0.3626 d0.loss_bbox: 0.1721 d0.loss_iou: 0.2948 d1.loss_cls: 0.3369 d1.loss_bbox: 0.1715 d1.loss_iou: 0.2835 d2.loss_cls: 0.3307 d2.loss_bbox: 0.1674 d2.loss_iou: 0.2797 d3.loss_cls: 0.3268 d3.loss_bbox: 0.1664 d3.loss_iou: 0.2767 d4.loss_cls: 0.3221 d4.loss_bbox: 0.1674 d4.loss_iou: 0.2772 enc_loss_cls: 0.3862 enc_loss_bbox: 0.1907 enc_loss_iou: 0.3145 dn_loss_cls: 0.1132 dn_loss_bbox: 0.1960 dn_loss_iou: 0.2455 d0.dn_loss_cls: 0.2027 d0.dn_loss_bbox: 0.3618 d0.dn_loss_iou: 0.4082 d1.dn_loss_cls: 0.1452 d1.dn_loss_bbox: 0.2274 d1.dn_loss_iou: 0.2787 d2.dn_loss_cls: 0.1344 d2.dn_loss_bbox: 0.2037 d2.dn_loss_iou: 0.2540 d3.dn_loss_cls: 0.1207 d3.dn_loss_bbox: 0.1983 d3.dn_loss_iou: 0.2476 d4.dn_loss_cls: 0.1135 d4.dn_loss_bbox: 0.1961 d4.dn_loss_iou: 0.2455 d1.loss_lmm_region: 0.1306 loss_lmm_image: 0.7722 +2024/11/08 14:03:09 - mmengine - INFO - Iter(train) [113200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:39:14 time: 1.0133 data_time: 0.0184 memory: 23011 grad_norm: 25.4323 loss: 9.1915 loss_cls: 0.2684 loss_bbox: 0.1506 loss_iou: 0.2744 d0.loss_cls: 0.2958 d0.loss_bbox: 0.1650 d0.loss_iou: 0.2953 d1.loss_cls: 0.2891 d1.loss_bbox: 0.1532 d1.loss_iou: 0.2758 d2.loss_cls: 0.2773 d2.loss_bbox: 0.1497 d2.loss_iou: 0.2737 d3.loss_cls: 0.2732 d3.loss_bbox: 0.1468 d3.loss_iou: 0.2737 d4.loss_cls: 0.2697 d4.loss_bbox: 0.1499 d4.loss_iou: 0.2740 enc_loss_cls: 0.3212 enc_loss_bbox: 0.1741 enc_loss_iou: 0.3134 dn_loss_cls: 0.0812 dn_loss_bbox: 0.1556 dn_loss_iou: 0.2238 d0.dn_loss_cls: 0.1609 d0.dn_loss_bbox: 0.2937 d0.dn_loss_iou: 0.3689 d1.dn_loss_cls: 0.1149 d1.dn_loss_bbox: 0.1862 d1.dn_loss_iou: 0.2564 d2.dn_loss_cls: 0.0996 d2.dn_loss_bbox: 0.1607 d2.dn_loss_iou: 0.2306 d3.dn_loss_cls: 0.0868 d3.dn_loss_bbox: 0.1560 d3.dn_loss_iou: 0.2250 d4.dn_loss_cls: 0.0821 d4.dn_loss_bbox: 0.1554 d4.dn_loss_iou: 0.2238 d1.loss_lmm_region: 0.1221 loss_lmm_image: 0.7436 +2024/11/08 14:04:51 - mmengine - INFO - Iter(train) [113300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:37:29 time: 1.0305 data_time: 0.0183 memory: 23475 grad_norm: 24.3964 loss: 9.5812 loss_cls: 0.2988 loss_bbox: 0.1427 loss_iou: 0.2660 d0.loss_cls: 0.3325 d0.loss_bbox: 0.1588 d0.loss_iou: 0.2832 d1.loss_cls: 0.3156 d1.loss_bbox: 0.1510 d1.loss_iou: 0.2726 d2.loss_cls: 0.3107 d2.loss_bbox: 0.1452 d2.loss_iou: 0.2682 d3.loss_cls: 0.3079 d3.loss_bbox: 0.1433 d3.loss_iou: 0.2660 d4.loss_cls: 0.3014 d4.loss_bbox: 0.1426 d4.loss_iou: 0.2643 enc_loss_cls: 0.3441 enc_loss_bbox: 0.1640 enc_loss_iou: 0.3006 dn_loss_cls: 0.0812 dn_loss_bbox: 0.1802 dn_loss_iou: 0.2314 d0.dn_loss_cls: 0.1770 d0.dn_loss_bbox: 0.3209 d0.dn_loss_iou: 0.3787 d1.dn_loss_cls: 0.1204 d1.dn_loss_bbox: 0.2048 d1.dn_loss_iou: 0.2629 d2.dn_loss_cls: 0.1005 d2.dn_loss_bbox: 0.1854 d2.dn_loss_iou: 0.2387 d3.dn_loss_cls: 0.0870 d3.dn_loss_bbox: 0.1793 d3.dn_loss_iou: 0.2323 d4.dn_loss_cls: 0.0820 d4.dn_loss_bbox: 0.1800 d4.dn_loss_iou: 0.2313 d1.loss_lmm_region: 0.1226 loss_lmm_image: 0.8048 +2024/11/08 14:06:33 - mmengine - INFO - Iter(train) [113400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:35:44 time: 1.0132 data_time: 0.0184 memory: 23223 grad_norm: 19.1330 loss: 10.0776 loss_cls: 0.3168 loss_bbox: 0.1679 loss_iou: 0.2763 d0.loss_cls: 0.3473 d0.loss_bbox: 0.1861 d0.loss_iou: 0.2939 d1.loss_cls: 0.3348 d1.loss_bbox: 0.1710 d1.loss_iou: 0.2840 d2.loss_cls: 0.3293 d2.loss_bbox: 0.1647 d2.loss_iou: 0.2739 d3.loss_cls: 0.3271 d3.loss_bbox: 0.1661 d3.loss_iou: 0.2731 d4.loss_cls: 0.3168 d4.loss_bbox: 0.1661 d4.loss_iou: 0.2749 enc_loss_cls: 0.3659 enc_loss_bbox: 0.2001 enc_loss_iou: 0.3120 dn_loss_cls: 0.0870 dn_loss_bbox: 0.1918 dn_loss_iou: 0.2364 d0.dn_loss_cls: 0.1743 d0.dn_loss_bbox: 0.3364 d0.dn_loss_iou: 0.3776 d1.dn_loss_cls: 0.1176 d1.dn_loss_bbox: 0.2228 d1.dn_loss_iou: 0.2660 d2.dn_loss_cls: 0.1014 d2.dn_loss_bbox: 0.2003 d2.dn_loss_iou: 0.2436 d3.dn_loss_cls: 0.0935 d3.dn_loss_bbox: 0.1939 d3.dn_loss_iou: 0.2378 d4.dn_loss_cls: 0.0867 d4.dn_loss_bbox: 0.1920 d4.dn_loss_iou: 0.2365 d1.loss_lmm_region: 0.1436 loss_lmm_image: 0.7901 +2024/11/08 14:08:16 - mmengine - INFO - Iter(train) [113500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:33:59 time: 1.0200 data_time: 0.0186 memory: 23908 grad_norm: 22.0567 loss: 9.0787 loss_cls: 0.2608 loss_bbox: 0.1470 loss_iou: 0.2406 d0.loss_cls: 0.2907 d0.loss_bbox: 0.1621 d0.loss_iou: 0.2569 d1.loss_cls: 0.2736 d1.loss_bbox: 0.1521 d1.loss_iou: 0.2469 d2.loss_cls: 0.2681 d2.loss_bbox: 0.1527 d2.loss_iou: 0.2457 d3.loss_cls: 0.2646 d3.loss_bbox: 0.1482 d3.loss_iou: 0.2418 d4.loss_cls: 0.2617 d4.loss_bbox: 0.1459 d4.loss_iou: 0.2396 enc_loss_cls: 0.3079 enc_loss_bbox: 0.1692 enc_loss_iou: 0.2732 dn_loss_cls: 0.0746 dn_loss_bbox: 0.1759 dn_loss_iou: 0.2246 d0.dn_loss_cls: 0.1547 d0.dn_loss_bbox: 0.3379 d0.dn_loss_iou: 0.3743 d1.dn_loss_cls: 0.1052 d1.dn_loss_bbox: 0.2107 d1.dn_loss_iou: 0.2580 d2.dn_loss_cls: 0.0908 d2.dn_loss_bbox: 0.1867 d2.dn_loss_iou: 0.2342 d3.dn_loss_cls: 0.0803 d3.dn_loss_bbox: 0.1769 d3.dn_loss_iou: 0.2264 d4.dn_loss_cls: 0.0747 d4.dn_loss_bbox: 0.1759 d4.dn_loss_iou: 0.2247 d1.loss_lmm_region: 0.1380 loss_lmm_image: 0.8049 +2024/11/08 14:09:58 - mmengine - INFO - Iter(train) [113600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:32:14 time: 1.0344 data_time: 0.0184 memory: 23652 grad_norm: 24.2729 loss: 9.8404 loss_cls: 0.2801 loss_bbox: 0.1697 loss_iou: 0.2792 d0.loss_cls: 0.3123 d0.loss_bbox: 0.1788 d0.loss_iou: 0.2919 d1.loss_cls: 0.2968 d1.loss_bbox: 0.1708 d1.loss_iou: 0.2884 d2.loss_cls: 0.2926 d2.loss_bbox: 0.1669 d2.loss_iou: 0.2814 d3.loss_cls: 0.2897 d3.loss_bbox: 0.1642 d3.loss_iou: 0.2776 d4.loss_cls: 0.2817 d4.loss_bbox: 0.1661 d4.loss_iou: 0.2782 enc_loss_cls: 0.3239 enc_loss_bbox: 0.1969 enc_loss_iou: 0.3168 dn_loss_cls: 0.0796 dn_loss_bbox: 0.1872 dn_loss_iou: 0.2351 d0.dn_loss_cls: 0.1781 d0.dn_loss_bbox: 0.3607 d0.dn_loss_iou: 0.3957 d1.dn_loss_cls: 0.1151 d1.dn_loss_bbox: 0.2234 d1.dn_loss_iou: 0.2706 d2.dn_loss_cls: 0.0962 d2.dn_loss_bbox: 0.1962 d2.dn_loss_iou: 0.2444 d3.dn_loss_cls: 0.0851 d3.dn_loss_bbox: 0.1887 d3.dn_loss_iou: 0.2367 d4.dn_loss_cls: 0.0806 d4.dn_loss_bbox: 0.1872 d4.dn_loss_iou: 0.2350 d1.loss_lmm_region: 0.1398 loss_lmm_image: 0.8007 +2024/11/08 14:11:40 - mmengine - INFO - Iter(train) [113700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:30:29 time: 1.0062 data_time: 0.0184 memory: 23792 grad_norm: 22.3757 loss: 9.9453 loss_cls: 0.3340 loss_bbox: 0.1486 loss_iou: 0.2996 d0.loss_cls: 0.3636 d0.loss_bbox: 0.1623 d0.loss_iou: 0.3203 d1.loss_cls: 0.3480 d1.loss_bbox: 0.1560 d1.loss_iou: 0.3088 d2.loss_cls: 0.3445 d2.loss_bbox: 0.1472 d2.loss_iou: 0.3026 d3.loss_cls: 0.3389 d3.loss_bbox: 0.1472 d3.loss_iou: 0.2995 d4.loss_cls: 0.3342 d4.loss_bbox: 0.1471 d4.loss_iou: 0.2995 enc_loss_cls: 0.3831 enc_loss_bbox: 0.1730 enc_loss_iou: 0.3404 dn_loss_cls: 0.0764 dn_loss_bbox: 0.1555 dn_loss_iou: 0.2382 d0.dn_loss_cls: 0.1602 d0.dn_loss_bbox: 0.2946 d0.dn_loss_iou: 0.3804 d1.dn_loss_cls: 0.1084 d1.dn_loss_bbox: 0.1868 d1.dn_loss_iou: 0.2697 d2.dn_loss_cls: 0.0914 d2.dn_loss_bbox: 0.1645 d2.dn_loss_iou: 0.2462 d3.dn_loss_cls: 0.0807 d3.dn_loss_bbox: 0.1567 d3.dn_loss_iou: 0.2394 d4.dn_loss_cls: 0.0769 d4.dn_loss_bbox: 0.1555 d4.dn_loss_iou: 0.2382 d1.loss_lmm_region: 0.1473 loss_lmm_image: 0.7795 +2024/11/08 14:13:24 - mmengine - INFO - Iter(train) [113800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:28:45 time: 1.0407 data_time: 0.0184 memory: 23874 grad_norm: 23.8139 loss: 7.9944 loss_cls: 0.2156 loss_bbox: 0.1126 loss_iou: 0.1838 d0.loss_cls: 0.2371 d0.loss_bbox: 0.1393 d0.loss_iou: 0.2040 d1.loss_cls: 0.2345 d1.loss_bbox: 0.1198 d1.loss_iou: 0.1896 d2.loss_cls: 0.2236 d2.loss_bbox: 0.1154 d2.loss_iou: 0.1835 d3.loss_cls: 0.2204 d3.loss_bbox: 0.1128 d3.loss_iou: 0.1819 d4.loss_cls: 0.2177 d4.loss_bbox: 0.1126 d4.loss_iou: 0.1837 enc_loss_cls: 0.2519 enc_loss_bbox: 0.1500 enc_loss_iou: 0.2219 dn_loss_cls: 0.0737 dn_loss_bbox: 0.1793 dn_loss_iou: 0.2082 d0.dn_loss_cls: 0.1554 d0.dn_loss_bbox: 0.3387 d0.dn_loss_iou: 0.3620 d1.dn_loss_cls: 0.1002 d1.dn_loss_bbox: 0.2142 d1.dn_loss_iou: 0.2414 d2.dn_loss_cls: 0.0869 d2.dn_loss_bbox: 0.1859 d2.dn_loss_iou: 0.2157 d3.dn_loss_cls: 0.0783 d3.dn_loss_bbox: 0.1799 d3.dn_loss_iou: 0.2098 d4.dn_loss_cls: 0.0736 d4.dn_loss_bbox: 0.1791 d4.dn_loss_iou: 0.2080 d1.loss_lmm_region: 0.1195 loss_lmm_image: 0.7731 +2024/11/08 14:15:06 - mmengine - INFO - Iter(train) [113900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:27:00 time: 1.0154 data_time: 0.0186 memory: 23526 grad_norm: 22.0263 loss: 9.0406 loss_cls: 0.2646 loss_bbox: 0.1443 loss_iou: 0.2537 d0.loss_cls: 0.2995 d0.loss_bbox: 0.1600 d0.loss_iou: 0.2716 d1.loss_cls: 0.2838 d1.loss_bbox: 0.1513 d1.loss_iou: 0.2632 d2.loss_cls: 0.2726 d2.loss_bbox: 0.1472 d2.loss_iou: 0.2577 d3.loss_cls: 0.2661 d3.loss_bbox: 0.1494 d3.loss_iou: 0.2575 d4.loss_cls: 0.2660 d4.loss_bbox: 0.1455 d4.loss_iou: 0.2541 enc_loss_cls: 0.3136 enc_loss_bbox: 0.1773 enc_loss_iou: 0.2949 dn_loss_cls: 0.0617 dn_loss_bbox: 0.1667 dn_loss_iou: 0.2253 d0.dn_loss_cls: 0.1551 d0.dn_loss_bbox: 0.3321 d0.dn_loss_iou: 0.3734 d1.dn_loss_cls: 0.0962 d1.dn_loss_bbox: 0.2030 d1.dn_loss_iou: 0.2568 d2.dn_loss_cls: 0.0790 d2.dn_loss_bbox: 0.1798 d2.dn_loss_iou: 0.2342 d3.dn_loss_cls: 0.0680 d3.dn_loss_bbox: 0.1685 d3.dn_loss_iou: 0.2269 d4.dn_loss_cls: 0.0622 d4.dn_loss_bbox: 0.1668 d4.dn_loss_iou: 0.2252 d1.loss_lmm_region: 0.1234 loss_lmm_image: 0.7423 +2024/11/08 14:16:49 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/08 14:16:49 - mmengine - INFO - Iter(train) [114000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:25:15 time: 1.0384 data_time: 0.0183 memory: 24241 grad_norm: 24.8510 loss: 9.3139 loss_cls: 0.2858 loss_bbox: 0.1432 loss_iou: 0.2417 d0.loss_cls: 0.3178 d0.loss_bbox: 0.1639 d0.loss_iou: 0.2633 d1.loss_cls: 0.3066 d1.loss_bbox: 0.1508 d1.loss_iou: 0.2497 d2.loss_cls: 0.2974 d2.loss_bbox: 0.1475 d2.loss_iou: 0.2449 d3.loss_cls: 0.2901 d3.loss_bbox: 0.1454 d3.loss_iou: 0.2435 d4.loss_cls: 0.2843 d4.loss_bbox: 0.1453 d4.loss_iou: 0.2440 enc_loss_cls: 0.3301 enc_loss_bbox: 0.1772 enc_loss_iou: 0.2821 dn_loss_cls: 0.0966 dn_loss_bbox: 0.1734 dn_loss_iou: 0.2134 d0.dn_loss_cls: 0.1759 d0.dn_loss_bbox: 0.3194 d0.dn_loss_iou: 0.3558 d1.dn_loss_cls: 0.1239 d1.dn_loss_bbox: 0.2072 d1.dn_loss_iou: 0.2479 d2.dn_loss_cls: 0.1089 d2.dn_loss_bbox: 0.1812 d2.dn_loss_iou: 0.2221 d3.dn_loss_cls: 0.1005 d3.dn_loss_bbox: 0.1740 d3.dn_loss_iou: 0.2146 d4.dn_loss_cls: 0.0974 d4.dn_loss_bbox: 0.1734 d4.dn_loss_iou: 0.2133 d1.loss_lmm_region: 0.1323 loss_lmm_image: 0.8282 +2024/11/08 14:18:31 - mmengine - INFO - Iter(train) [114100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:23:31 time: 1.0244 data_time: 0.0184 memory: 23108 grad_norm: 22.2737 loss: 9.3811 loss_cls: 0.2949 loss_bbox: 0.1370 loss_iou: 0.2674 d0.loss_cls: 0.3376 d0.loss_bbox: 0.1553 d0.loss_iou: 0.2856 d1.loss_cls: 0.3198 d1.loss_bbox: 0.1425 d1.loss_iou: 0.2721 d2.loss_cls: 0.3029 d2.loss_bbox: 0.1380 d2.loss_iou: 0.2714 d3.loss_cls: 0.2981 d3.loss_bbox: 0.1373 d3.loss_iou: 0.2659 d4.loss_cls: 0.2961 d4.loss_bbox: 0.1369 d4.loss_iou: 0.2666 enc_loss_cls: 0.3493 enc_loss_bbox: 0.1722 enc_loss_iou: 0.3101 dn_loss_cls: 0.0719 dn_loss_bbox: 0.1491 dn_loss_iou: 0.2265 d0.dn_loss_cls: 0.1641 d0.dn_loss_bbox: 0.3110 d0.dn_loss_iou: 0.3874 d1.dn_loss_cls: 0.1064 d1.dn_loss_bbox: 0.1867 d1.dn_loss_iou: 0.2639 d2.dn_loss_cls: 0.0890 d2.dn_loss_bbox: 0.1613 d2.dn_loss_iou: 0.2372 d3.dn_loss_cls: 0.0776 d3.dn_loss_bbox: 0.1522 d3.dn_loss_iou: 0.2288 d4.dn_loss_cls: 0.0735 d4.dn_loss_bbox: 0.1491 d4.dn_loss_iou: 0.2267 d1.loss_lmm_region: 0.1184 loss_lmm_image: 0.8436 +2024/11/08 14:20:15 - mmengine - INFO - Iter(train) [114200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:21:46 time: 1.0322 data_time: 0.0184 memory: 23640 grad_norm: 20.2271 loss: 8.5197 loss_cls: 0.2709 loss_bbox: 0.1259 loss_iou: 0.2534 d0.loss_cls: 0.3092 d0.loss_bbox: 0.1400 d0.loss_iou: 0.2708 d1.loss_cls: 0.2904 d1.loss_bbox: 0.1315 d1.loss_iou: 0.2579 d2.loss_cls: 0.2810 d2.loss_bbox: 0.1256 d2.loss_iou: 0.2541 d3.loss_cls: 0.2745 d3.loss_bbox: 0.1242 d3.loss_iou: 0.2523 d4.loss_cls: 0.2701 d4.loss_bbox: 0.1262 d4.loss_iou: 0.2532 enc_loss_cls: 0.3234 enc_loss_bbox: 0.1579 enc_loss_iou: 0.2970 dn_loss_cls: 0.0584 dn_loss_bbox: 0.1336 dn_loss_iou: 0.1992 d0.dn_loss_cls: 0.1401 d0.dn_loss_bbox: 0.2739 d0.dn_loss_iou: 0.3524 d1.dn_loss_cls: 0.0871 d1.dn_loss_bbox: 0.1669 d1.dn_loss_iou: 0.2361 d2.dn_loss_cls: 0.0709 d2.dn_loss_bbox: 0.1418 d2.dn_loss_iou: 0.2088 d3.dn_loss_cls: 0.0635 d3.dn_loss_bbox: 0.1348 d3.dn_loss_iou: 0.2006 d4.dn_loss_cls: 0.0594 d4.dn_loss_bbox: 0.1336 d4.dn_loss_iou: 0.1992 d1.loss_lmm_region: 0.1078 loss_lmm_image: 0.7619 +2024/11/08 14:21:58 - mmengine - INFO - Iter(train) [114300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:20:02 time: 1.0268 data_time: 0.0185 memory: 24026 grad_norm: 24.6401 loss: 10.5951 loss_cls: 0.3381 loss_bbox: 0.1689 loss_iou: 0.2738 d0.loss_cls: 0.3750 d0.loss_bbox: 0.1948 d0.loss_iou: 0.2939 d1.loss_cls: 0.3632 d1.loss_bbox: 0.1718 d1.loss_iou: 0.2793 d2.loss_cls: 0.3493 d2.loss_bbox: 0.1709 d2.loss_iou: 0.2764 d3.loss_cls: 0.3423 d3.loss_bbox: 0.1676 d3.loss_iou: 0.2725 d4.loss_cls: 0.3418 d4.loss_bbox: 0.1688 d4.loss_iou: 0.2734 enc_loss_cls: 0.3940 enc_loss_bbox: 0.2085 enc_loss_iou: 0.3156 dn_loss_cls: 0.1230 dn_loss_bbox: 0.2123 dn_loss_iou: 0.2366 d0.dn_loss_cls: 0.2096 d0.dn_loss_bbox: 0.3763 d0.dn_loss_iou: 0.3882 d1.dn_loss_cls: 0.1518 d1.dn_loss_bbox: 0.2500 d1.dn_loss_iou: 0.2708 d2.dn_loss_cls: 0.1347 d2.dn_loss_bbox: 0.2231 d2.dn_loss_iou: 0.2460 d3.dn_loss_cls: 0.1254 d3.dn_loss_bbox: 0.2133 d3.dn_loss_iou: 0.2377 d4.dn_loss_cls: 0.1242 d4.dn_loss_bbox: 0.2121 d4.dn_loss_iou: 0.2363 d1.loss_lmm_region: 0.1518 loss_lmm_image: 0.7323 +2024/11/08 14:23:40 - mmengine - INFO - Iter(train) [114400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:18:17 time: 1.0152 data_time: 0.0184 memory: 23197 grad_norm: 20.3620 loss: 8.7554 loss_cls: 0.2746 loss_bbox: 0.1229 loss_iou: 0.2324 d0.loss_cls: 0.3073 d0.loss_bbox: 0.1307 d0.loss_iou: 0.2448 d1.loss_cls: 0.2949 d1.loss_bbox: 0.1237 d1.loss_iou: 0.2340 d2.loss_cls: 0.2867 d2.loss_bbox: 0.1186 d2.loss_iou: 0.2296 d3.loss_cls: 0.2794 d3.loss_bbox: 0.1211 d3.loss_iou: 0.2313 d4.loss_cls: 0.2767 d4.loss_bbox: 0.1220 d4.loss_iou: 0.2298 enc_loss_cls: 0.3259 enc_loss_bbox: 0.1427 enc_loss_iou: 0.2609 dn_loss_cls: 0.0832 dn_loss_bbox: 0.1553 dn_loss_iou: 0.2153 d0.dn_loss_cls: 0.1693 d0.dn_loss_bbox: 0.2924 d0.dn_loss_iou: 0.3624 d1.dn_loss_cls: 0.1151 d1.dn_loss_bbox: 0.1834 d1.dn_loss_iou: 0.2460 d2.dn_loss_cls: 0.0993 d2.dn_loss_bbox: 0.1632 d2.dn_loss_iou: 0.2241 d3.dn_loss_cls: 0.0898 d3.dn_loss_bbox: 0.1569 d3.dn_loss_iou: 0.2168 d4.dn_loss_cls: 0.0836 d4.dn_loss_bbox: 0.1552 d4.dn_loss_iou: 0.2151 d1.loss_lmm_region: 0.1383 loss_lmm_image: 0.8005 +2024/11/08 14:25:23 - mmengine - INFO - Iter(train) [114500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:16:32 time: 1.0313 data_time: 0.0185 memory: 22457 grad_norm: 20.6412 loss: 9.7641 loss_cls: 0.2930 loss_bbox: 0.1677 loss_iou: 0.2617 d0.loss_cls: 0.3317 d0.loss_bbox: 0.1892 d0.loss_iou: 0.2824 d1.loss_cls: 0.3173 d1.loss_bbox: 0.1699 d1.loss_iou: 0.2641 d2.loss_cls: 0.3041 d2.loss_bbox: 0.1679 d2.loss_iou: 0.2597 d3.loss_cls: 0.3001 d3.loss_bbox: 0.1667 d3.loss_iou: 0.2583 d4.loss_cls: 0.2967 d4.loss_bbox: 0.1664 d4.loss_iou: 0.2581 enc_loss_cls: 0.3510 enc_loss_bbox: 0.2032 enc_loss_iou: 0.3063 dn_loss_cls: 0.0763 dn_loss_bbox: 0.1848 dn_loss_iou: 0.2282 d0.dn_loss_cls: 0.1719 d0.dn_loss_bbox: 0.3454 d0.dn_loss_iou: 0.3815 d1.dn_loss_cls: 0.1129 d1.dn_loss_bbox: 0.2178 d1.dn_loss_iou: 0.2619 d2.dn_loss_cls: 0.0928 d2.dn_loss_bbox: 0.1929 d2.dn_loss_iou: 0.2370 d3.dn_loss_cls: 0.0835 d3.dn_loss_bbox: 0.1856 d3.dn_loss_iou: 0.2295 d4.dn_loss_cls: 0.0777 d4.dn_loss_bbox: 0.1849 d4.dn_loss_iou: 0.2281 d1.loss_lmm_region: 0.1301 loss_lmm_image: 0.8261 +2024/11/08 14:27:06 - mmengine - INFO - Iter(train) [114600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:14:48 time: 1.0233 data_time: 0.0183 memory: 23947 grad_norm: 21.1298 loss: 9.0190 loss_cls: 0.2991 loss_bbox: 0.1352 loss_iou: 0.2464 d0.loss_cls: 0.3322 d0.loss_bbox: 0.1500 d0.loss_iou: 0.2606 d1.loss_cls: 0.3105 d1.loss_bbox: 0.1416 d1.loss_iou: 0.2526 d2.loss_cls: 0.3067 d2.loss_bbox: 0.1365 d2.loss_iou: 0.2469 d3.loss_cls: 0.3016 d3.loss_bbox: 0.1350 d3.loss_iou: 0.2461 d4.loss_cls: 0.2983 d4.loss_bbox: 0.1354 d4.loss_iou: 0.2463 enc_loss_cls: 0.3520 enc_loss_bbox: 0.1673 enc_loss_iou: 0.2855 dn_loss_cls: 0.0864 dn_loss_bbox: 0.1484 dn_loss_iou: 0.2004 d0.dn_loss_cls: 0.1729 d0.dn_loss_bbox: 0.2897 d0.dn_loss_iou: 0.3422 d1.dn_loss_cls: 0.1191 d1.dn_loss_bbox: 0.1840 d1.dn_loss_iou: 0.2353 d2.dn_loss_cls: 0.1012 d2.dn_loss_bbox: 0.1611 d2.dn_loss_iou: 0.2102 d3.dn_loss_cls: 0.0934 d3.dn_loss_bbox: 0.1501 d3.dn_loss_iou: 0.2019 d4.dn_loss_cls: 0.0869 d4.dn_loss_bbox: 0.1485 d4.dn_loss_iou: 0.2005 d1.loss_lmm_region: 0.1405 loss_lmm_image: 0.7604 +2024/11/08 14:28:49 - mmengine - INFO - Iter(train) [114700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:13:03 time: 1.0320 data_time: 0.0183 memory: 24881 grad_norm: 27.7453 loss: 9.5888 loss_cls: 0.3042 loss_bbox: 0.1377 loss_iou: 0.2684 d0.loss_cls: 0.3416 d0.loss_bbox: 0.1531 d0.loss_iou: 0.2900 d1.loss_cls: 0.3215 d1.loss_bbox: 0.1469 d1.loss_iou: 0.2801 d2.loss_cls: 0.3136 d2.loss_bbox: 0.1387 d2.loss_iou: 0.2750 d3.loss_cls: 0.3093 d3.loss_bbox: 0.1387 d3.loss_iou: 0.2718 d4.loss_cls: 0.3041 d4.loss_bbox: 0.1374 d4.loss_iou: 0.2681 enc_loss_cls: 0.3672 enc_loss_bbox: 0.1607 enc_loss_iou: 0.3116 dn_loss_cls: 0.0810 dn_loss_bbox: 0.1594 dn_loss_iou: 0.2348 d0.dn_loss_cls: 0.1721 d0.dn_loss_bbox: 0.3266 d0.dn_loss_iou: 0.4003 d1.dn_loss_cls: 0.1114 d1.dn_loss_bbox: 0.1949 d1.dn_loss_iou: 0.2747 d2.dn_loss_cls: 0.0929 d2.dn_loss_bbox: 0.1678 d2.dn_loss_iou: 0.2445 d3.dn_loss_cls: 0.0848 d3.dn_loss_bbox: 0.1604 d3.dn_loss_iou: 0.2367 d4.dn_loss_cls: 0.0817 d4.dn_loss_bbox: 0.1595 d4.dn_loss_iou: 0.2347 d1.loss_lmm_region: 0.1252 loss_lmm_image: 0.8055 +2024/11/08 14:30:31 - mmengine - INFO - Iter(train) [114800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:11:18 time: 1.0160 data_time: 0.0186 memory: 24467 grad_norm: 21.2617 loss: 9.3592 loss_cls: 0.2812 loss_bbox: 0.1446 loss_iou: 0.2528 d0.loss_cls: 0.3154 d0.loss_bbox: 0.1521 d0.loss_iou: 0.2653 d1.loss_cls: 0.2969 d1.loss_bbox: 0.1437 d1.loss_iou: 0.2545 d2.loss_cls: 0.2878 d2.loss_bbox: 0.1438 d2.loss_iou: 0.2540 d3.loss_cls: 0.2842 d3.loss_bbox: 0.1439 d3.loss_iou: 0.2531 d4.loss_cls: 0.2828 d4.loss_bbox: 0.1444 d4.loss_iou: 0.2527 enc_loss_cls: 0.3343 enc_loss_bbox: 0.1679 enc_loss_iou: 0.2894 dn_loss_cls: 0.0815 dn_loss_bbox: 0.1884 dn_loss_iou: 0.2264 d0.dn_loss_cls: 0.1650 d0.dn_loss_bbox: 0.3376 d0.dn_loss_iou: 0.3708 d1.dn_loss_cls: 0.1140 d1.dn_loss_bbox: 0.2205 d1.dn_loss_iou: 0.2594 d2.dn_loss_cls: 0.0981 d2.dn_loss_bbox: 0.1966 d2.dn_loss_iou: 0.2348 d3.dn_loss_cls: 0.0880 d3.dn_loss_bbox: 0.1902 d3.dn_loss_iou: 0.2278 d4.dn_loss_cls: 0.0800 d4.dn_loss_bbox: 0.1885 d4.dn_loss_iou: 0.2264 d1.loss_lmm_region: 0.1329 loss_lmm_image: 0.7876 +2024/11/08 14:32:14 - mmengine - INFO - Iter(train) [114900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:09:34 time: 1.0309 data_time: 0.0182 memory: 23395 grad_norm: 21.0761 loss: 8.7090 loss_cls: 0.2622 loss_bbox: 0.1192 loss_iou: 0.2358 d0.loss_cls: 0.2911 d0.loss_bbox: 0.1337 d0.loss_iou: 0.2495 d1.loss_cls: 0.2811 d1.loss_bbox: 0.1218 d1.loss_iou: 0.2381 d2.loss_cls: 0.2719 d2.loss_bbox: 0.1182 d2.loss_iou: 0.2359 d3.loss_cls: 0.2682 d3.loss_bbox: 0.1178 d3.loss_iou: 0.2334 d4.loss_cls: 0.2641 d4.loss_bbox: 0.1198 d4.loss_iou: 0.2358 enc_loss_cls: 0.3097 enc_loss_bbox: 0.1490 enc_loss_iou: 0.2753 dn_loss_cls: 0.0843 dn_loss_bbox: 0.1491 dn_loss_iou: 0.2224 d0.dn_loss_cls: 0.1678 d0.dn_loss_bbox: 0.3086 d0.dn_loss_iou: 0.3794 d1.dn_loss_cls: 0.1117 d1.dn_loss_bbox: 0.1792 d1.dn_loss_iou: 0.2560 d2.dn_loss_cls: 0.0975 d2.dn_loss_bbox: 0.1561 d2.dn_loss_iou: 0.2308 d3.dn_loss_cls: 0.0892 d3.dn_loss_bbox: 0.1506 d3.dn_loss_iou: 0.2239 d4.dn_loss_cls: 0.0856 d4.dn_loss_bbox: 0.1491 d4.dn_loss_iou: 0.2223 d1.loss_lmm_region: 0.1274 loss_lmm_image: 0.7862 +2024/11/08 14:33:56 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/08 14:33:56 - mmengine - INFO - Iter(train) [115000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:07:49 time: 1.0191 data_time: 0.0184 memory: 23389 grad_norm: 22.8076 loss: 10.8963 loss_cls: 0.3230 loss_bbox: 0.1872 loss_iou: 0.3440 d0.loss_cls: 0.3669 d0.loss_bbox: 0.1967 d0.loss_iou: 0.3615 d1.loss_cls: 0.3452 d1.loss_bbox: 0.1914 d1.loss_iou: 0.3534 d2.loss_cls: 0.3381 d2.loss_bbox: 0.1905 d2.loss_iou: 0.3477 d3.loss_cls: 0.3347 d3.loss_bbox: 0.1858 d3.loss_iou: 0.3423 d4.loss_cls: 0.3295 d4.loss_bbox: 0.1863 d4.loss_iou: 0.3436 enc_loss_cls: 0.3847 enc_loss_bbox: 0.2113 enc_loss_iou: 0.3817 dn_loss_cls: 0.0950 dn_loss_bbox: 0.2008 dn_loss_iou: 0.2469 d0.dn_loss_cls: 0.1736 d0.dn_loss_bbox: 0.3733 d0.dn_loss_iou: 0.4051 d1.dn_loss_cls: 0.1250 d1.dn_loss_bbox: 0.2418 d1.dn_loss_iou: 0.2840 d2.dn_loss_cls: 0.1132 d2.dn_loss_bbox: 0.2106 d2.dn_loss_iou: 0.2561 d3.dn_loss_cls: 0.1012 d3.dn_loss_bbox: 0.2011 d3.dn_loss_iou: 0.2477 d4.dn_loss_cls: 0.0943 d4.dn_loss_bbox: 0.2009 d4.dn_loss_iou: 0.2469 d1.loss_lmm_region: 0.1199 loss_lmm_image: 0.7129 +2024/11/08 14:35:39 - mmengine - INFO - Iter(train) [115100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:06:04 time: 1.0320 data_time: 0.0184 memory: 23375 grad_norm: 26.0963 loss: 9.1620 loss_cls: 0.2869 loss_bbox: 0.1291 loss_iou: 0.2356 d0.loss_cls: 0.3243 d0.loss_bbox: 0.1496 d0.loss_iou: 0.2604 d1.loss_cls: 0.3114 d1.loss_bbox: 0.1328 d1.loss_iou: 0.2467 d2.loss_cls: 0.2969 d2.loss_bbox: 0.1298 d2.loss_iou: 0.2400 d3.loss_cls: 0.2925 d3.loss_bbox: 0.1280 d3.loss_iou: 0.2377 d4.loss_cls: 0.2892 d4.loss_bbox: 0.1297 d4.loss_iou: 0.2359 enc_loss_cls: 0.3500 enc_loss_bbox: 0.1575 enc_loss_iou: 0.2837 dn_loss_cls: 0.0999 dn_loss_bbox: 0.1632 dn_loss_iou: 0.2130 d0.dn_loss_cls: 0.1817 d0.dn_loss_bbox: 0.3249 d0.dn_loss_iou: 0.3709 d1.dn_loss_cls: 0.1254 d1.dn_loss_bbox: 0.2042 d1.dn_loss_iou: 0.2519 d2.dn_loss_cls: 0.1121 d2.dn_loss_bbox: 0.1746 d2.dn_loss_iou: 0.2239 d3.dn_loss_cls: 0.1052 d3.dn_loss_bbox: 0.1643 d3.dn_loss_iou: 0.2146 d4.dn_loss_cls: 0.0994 d4.dn_loss_bbox: 0.1630 d4.dn_loss_iou: 0.2130 d1.loss_lmm_region: 0.1270 loss_lmm_image: 0.7823 +2024/11/08 14:37:22 - mmengine - INFO - Iter(train) [115200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:04:20 time: 1.0329 data_time: 0.0183 memory: 24018 grad_norm: 23.5368 loss: 10.8747 loss_cls: 0.3629 loss_bbox: 0.1733 loss_iou: 0.3193 d0.loss_cls: 0.4145 d0.loss_bbox: 0.1789 d0.loss_iou: 0.3347 d1.loss_cls: 0.3819 d1.loss_bbox: 0.1758 d1.loss_iou: 0.3228 d2.loss_cls: 0.3794 d2.loss_bbox: 0.1726 d2.loss_iou: 0.3206 d3.loss_cls: 0.3733 d3.loss_bbox: 0.1729 d3.loss_iou: 0.3198 d4.loss_cls: 0.3649 d4.loss_bbox: 0.1729 d4.loss_iou: 0.3189 enc_loss_cls: 0.4223 enc_loss_bbox: 0.1896 enc_loss_iou: 0.3590 dn_loss_cls: 0.0867 dn_loss_bbox: 0.1839 dn_loss_iou: 0.2509 d0.dn_loss_cls: 0.1894 d0.dn_loss_bbox: 0.3412 d0.dn_loss_iou: 0.4094 d1.dn_loss_cls: 0.1263 d1.dn_loss_bbox: 0.2158 d1.dn_loss_iou: 0.2859 d2.dn_loss_cls: 0.1047 d2.dn_loss_bbox: 0.1908 d2.dn_loss_iou: 0.2597 d3.dn_loss_cls: 0.0945 d3.dn_loss_bbox: 0.1855 d3.dn_loss_iou: 0.2521 d4.dn_loss_cls: 0.0878 d4.dn_loss_bbox: 0.1840 d4.dn_loss_iou: 0.2509 d1.loss_lmm_region: 0.1416 loss_lmm_image: 0.8033 +2024/11/08 14:39:05 - mmengine - INFO - Iter(train) [115300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:02:35 time: 1.0180 data_time: 0.0183 memory: 24578 grad_norm: 23.5615 loss: 9.7980 loss_cls: 0.2750 loss_bbox: 0.1777 loss_iou: 0.2804 d0.loss_cls: 0.3113 d0.loss_bbox: 0.1890 d0.loss_iou: 0.2960 d1.loss_cls: 0.2926 d1.loss_bbox: 0.1802 d1.loss_iou: 0.2881 d2.loss_cls: 0.2944 d2.loss_bbox: 0.1682 d2.loss_iou: 0.2792 d3.loss_cls: 0.2843 d3.loss_bbox: 0.1733 d3.loss_iou: 0.2793 d4.loss_cls: 0.2773 d4.loss_bbox: 0.1757 d4.loss_iou: 0.2792 enc_loss_cls: 0.3328 enc_loss_bbox: 0.1973 enc_loss_iou: 0.3140 dn_loss_cls: 0.0776 dn_loss_bbox: 0.1880 dn_loss_iou: 0.2400 d0.dn_loss_cls: 0.1654 d0.dn_loss_bbox: 0.3480 d0.dn_loss_iou: 0.3917 d1.dn_loss_cls: 0.1107 d1.dn_loss_bbox: 0.2197 d1.dn_loss_iou: 0.2716 d2.dn_loss_cls: 0.0941 d2.dn_loss_bbox: 0.1955 d2.dn_loss_iou: 0.2482 d3.dn_loss_cls: 0.0822 d3.dn_loss_bbox: 0.1888 d3.dn_loss_iou: 0.2411 d4.dn_loss_cls: 0.0777 d4.dn_loss_bbox: 0.1879 d4.dn_loss_iou: 0.2400 d1.loss_lmm_region: 0.1290 loss_lmm_image: 0.7557 +2024/11/08 14:40:48 - mmengine - INFO - Iter(train) [115400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:00:51 time: 1.0337 data_time: 0.0183 memory: 25041 grad_norm: 23.7814 loss: 9.2432 loss_cls: 0.2828 loss_bbox: 0.1323 loss_iou: 0.2165 d0.loss_cls: 0.3148 d0.loss_bbox: 0.1492 d0.loss_iou: 0.2341 d1.loss_cls: 0.3009 d1.loss_bbox: 0.1396 d1.loss_iou: 0.2214 d2.loss_cls: 0.2927 d2.loss_bbox: 0.1342 d2.loss_iou: 0.2202 d3.loss_cls: 0.2905 d3.loss_bbox: 0.1314 d3.loss_iou: 0.2186 d4.loss_cls: 0.2845 d4.loss_bbox: 0.1335 d4.loss_iou: 0.2178 enc_loss_cls: 0.3285 enc_loss_bbox: 0.1664 enc_loss_iou: 0.2558 dn_loss_cls: 0.1005 dn_loss_bbox: 0.1932 dn_loss_iou: 0.2209 d0.dn_loss_cls: 0.1851 d0.dn_loss_bbox: 0.3716 d0.dn_loss_iou: 0.3794 d1.dn_loss_cls: 0.1306 d1.dn_loss_bbox: 0.2279 d1.dn_loss_iou: 0.2542 d2.dn_loss_cls: 0.1132 d2.dn_loss_bbox: 0.1989 d2.dn_loss_iou: 0.2296 d3.dn_loss_cls: 0.1072 d3.dn_loss_bbox: 0.1935 d3.dn_loss_iou: 0.2226 d4.dn_loss_cls: 0.1020 d4.dn_loss_bbox: 0.1932 d4.dn_loss_iou: 0.2210 d1.loss_lmm_region: 0.1247 loss_lmm_image: 0.8083 +2024/11/08 14:42:30 - mmengine - INFO - Iter(train) [115500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 9:59:06 time: 1.0192 data_time: 0.0185 memory: 23149 grad_norm: 20.8997 loss: 9.9506 loss_cls: 0.3225 loss_bbox: 0.1487 loss_iou: 0.3133 d0.loss_cls: 0.3584 d0.loss_bbox: 0.1688 d0.loss_iou: 0.3340 d1.loss_cls: 0.3363 d1.loss_bbox: 0.1612 d1.loss_iou: 0.3269 d2.loss_cls: 0.3298 d2.loss_bbox: 0.1535 d2.loss_iou: 0.3174 d3.loss_cls: 0.3264 d3.loss_bbox: 0.1485 d3.loss_iou: 0.3132 d4.loss_cls: 0.3227 d4.loss_bbox: 0.1488 d4.loss_iou: 0.3134 enc_loss_cls: 0.3811 enc_loss_bbox: 0.1757 enc_loss_iou: 0.3555 dn_loss_cls: 0.0839 dn_loss_bbox: 0.1588 dn_loss_iou: 0.2240 d0.dn_loss_cls: 0.1618 d0.dn_loss_bbox: 0.3038 d0.dn_loss_iou: 0.3691 d1.dn_loss_cls: 0.1117 d1.dn_loss_bbox: 0.1901 d1.dn_loss_iou: 0.2589 d2.dn_loss_cls: 0.0962 d2.dn_loss_bbox: 0.1665 d2.dn_loss_iou: 0.2331 d3.dn_loss_cls: 0.0885 d3.dn_loss_bbox: 0.1607 d3.dn_loss_iou: 0.2262 d4.dn_loss_cls: 0.0847 d4.dn_loss_bbox: 0.1588 d4.dn_loss_iou: 0.2240 d1.loss_lmm_region: 0.1241 loss_lmm_image: 0.7697 +2024/11/08 14:44:13 - mmengine - INFO - Iter(train) [115600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 9:57:21 time: 1.0229 data_time: 0.0184 memory: 22772 grad_norm: 22.7244 loss: 9.5557 loss_cls: 0.3139 loss_bbox: 0.1435 loss_iou: 0.2591 d0.loss_cls: 0.3490 d0.loss_bbox: 0.1599 d0.loss_iou: 0.2833 d1.loss_cls: 0.3247 d1.loss_bbox: 0.1523 d1.loss_iou: 0.2663 d2.loss_cls: 0.3208 d2.loss_bbox: 0.1453 d2.loss_iou: 0.2597 d3.loss_cls: 0.3198 d3.loss_bbox: 0.1407 d3.loss_iou: 0.2577 d4.loss_cls: 0.3163 d4.loss_bbox: 0.1421 d4.loss_iou: 0.2590 enc_loss_cls: 0.3693 enc_loss_bbox: 0.1708 enc_loss_iou: 0.3070 dn_loss_cls: 0.0989 dn_loss_bbox: 0.1540 dn_loss_iou: 0.2176 d0.dn_loss_cls: 0.1928 d0.dn_loss_bbox: 0.3240 d0.dn_loss_iou: 0.3810 d1.dn_loss_cls: 0.1316 d1.dn_loss_bbox: 0.1882 d1.dn_loss_iou: 0.2525 d2.dn_loss_cls: 0.1130 d2.dn_loss_bbox: 0.1616 d2.dn_loss_iou: 0.2261 d3.dn_loss_cls: 0.1034 d3.dn_loss_bbox: 0.1560 d3.dn_loss_iou: 0.2190 d4.dn_loss_cls: 0.0984 d4.dn_loss_bbox: 0.1540 d4.dn_loss_iou: 0.2174 d1.loss_lmm_region: 0.1371 loss_lmm_image: 0.7685 +2024/11/08 14:45:55 - mmengine - INFO - Iter(train) [115700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 9:55:36 time: 1.0244 data_time: 0.0185 memory: 24404 grad_norm: 20.3538 loss: 9.8065 loss_cls: 0.2954 loss_bbox: 0.1732 loss_iou: 0.2811 d0.loss_cls: 0.3263 d0.loss_bbox: 0.1864 d0.loss_iou: 0.3013 d1.loss_cls: 0.3182 d1.loss_bbox: 0.1735 d1.loss_iou: 0.2858 d2.loss_cls: 0.3107 d2.loss_bbox: 0.1705 d2.loss_iou: 0.2801 d3.loss_cls: 0.3051 d3.loss_bbox: 0.1699 d3.loss_iou: 0.2762 d4.loss_cls: 0.2980 d4.loss_bbox: 0.1735 d4.loss_iou: 0.2802 enc_loss_cls: 0.3507 enc_loss_bbox: 0.1950 enc_loss_iou: 0.3156 dn_loss_cls: 0.0776 dn_loss_bbox: 0.1898 dn_loss_iou: 0.2224 d0.dn_loss_cls: 0.1563 d0.dn_loss_bbox: 0.3293 d0.dn_loss_iou: 0.3587 d1.dn_loss_cls: 0.1069 d1.dn_loss_bbox: 0.2197 d1.dn_loss_iou: 0.2526 d2.dn_loss_cls: 0.0914 d2.dn_loss_bbox: 0.1987 d2.dn_loss_iou: 0.2311 d3.dn_loss_cls: 0.0828 d3.dn_loss_bbox: 0.1908 d3.dn_loss_iou: 0.2238 d4.dn_loss_cls: 0.0787 d4.dn_loss_bbox: 0.1897 d4.dn_loss_iou: 0.2224 d1.loss_lmm_region: 0.1258 loss_lmm_image: 0.7913 +2024/11/08 14:47:38 - mmengine - INFO - Iter(train) [115800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 9:53:52 time: 1.0222 data_time: 0.0182 memory: 23298 grad_norm: 22.7153 loss: 9.5541 loss_cls: 0.2980 loss_bbox: 0.1528 loss_iou: 0.2582 d0.loss_cls: 0.3312 d0.loss_bbox: 0.1733 d0.loss_iou: 0.2773 d1.loss_cls: 0.3185 d1.loss_bbox: 0.1560 d1.loss_iou: 0.2637 d2.loss_cls: 0.3028 d2.loss_bbox: 0.1570 d2.loss_iou: 0.2622 d3.loss_cls: 0.2999 d3.loss_bbox: 0.1566 d3.loss_iou: 0.2603 d4.loss_cls: 0.2937 d4.loss_bbox: 0.1571 d4.loss_iou: 0.2616 enc_loss_cls: 0.3535 enc_loss_bbox: 0.1819 enc_loss_iou: 0.2957 dn_loss_cls: 0.0673 dn_loss_bbox: 0.1849 dn_loss_iou: 0.2267 d0.dn_loss_cls: 0.1722 d0.dn_loss_bbox: 0.3528 d0.dn_loss_iou: 0.3830 d1.dn_loss_cls: 0.1062 d1.dn_loss_bbox: 0.2179 d1.dn_loss_iou: 0.2611 d2.dn_loss_cls: 0.0863 d2.dn_loss_bbox: 0.1916 d2.dn_loss_iou: 0.2345 d3.dn_loss_cls: 0.0741 d3.dn_loss_bbox: 0.1861 d3.dn_loss_iou: 0.2280 d4.dn_loss_cls: 0.0679 d4.dn_loss_bbox: 0.1850 d4.dn_loss_iou: 0.2267 d1.loss_lmm_region: 0.1271 loss_lmm_image: 0.7635 +2024/11/08 14:49:21 - mmengine - INFO - Iter(train) [115900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 9:52:07 time: 1.0308 data_time: 0.0182 memory: 24177 grad_norm: 22.3075 loss: 9.9663 loss_cls: 0.3216 loss_bbox: 0.1518 loss_iou: 0.2703 d0.loss_cls: 0.3412 d0.loss_bbox: 0.1743 d0.loss_iou: 0.2914 d1.loss_cls: 0.3344 d1.loss_bbox: 0.1601 d1.loss_iou: 0.2777 d2.loss_cls: 0.3243 d2.loss_bbox: 0.1541 d2.loss_iou: 0.2725 d3.loss_cls: 0.3186 d3.loss_bbox: 0.1567 d3.loss_iou: 0.2735 d4.loss_cls: 0.3234 d4.loss_bbox: 0.1518 d4.loss_iou: 0.2703 enc_loss_cls: 0.3656 enc_loss_bbox: 0.1869 enc_loss_iou: 0.3165 dn_loss_cls: 0.0953 dn_loss_bbox: 0.1790 dn_loss_iou: 0.2476 d0.dn_loss_cls: 0.1827 d0.dn_loss_bbox: 0.3274 d0.dn_loss_iou: 0.4018 d1.dn_loss_cls: 0.1262 d1.dn_loss_bbox: 0.2067 d1.dn_loss_iou: 0.2795 d2.dn_loss_cls: 0.1071 d2.dn_loss_bbox: 0.1854 d2.dn_loss_iou: 0.2551 d3.dn_loss_cls: 0.1011 d3.dn_loss_bbox: 0.1793 d3.dn_loss_iou: 0.2483 d4.dn_loss_cls: 0.0950 d4.dn_loss_bbox: 0.1789 d4.dn_loss_iou: 0.2474 d1.loss_lmm_region: 0.1324 loss_lmm_image: 0.7532 +2024/11/08 14:51:03 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/08 14:51:03 - mmengine - INFO - Iter(train) [116000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 9:50:22 time: 1.0208 data_time: 0.0185 memory: 23291 grad_norm: 22.3697 loss: 10.0896 loss_cls: 0.3335 loss_bbox: 0.1595 loss_iou: 0.3303 d0.loss_cls: 0.3765 d0.loss_bbox: 0.1682 d0.loss_iou: 0.3441 d1.loss_cls: 0.3524 d1.loss_bbox: 0.1588 d1.loss_iou: 0.3349 d2.loss_cls: 0.3449 d2.loss_bbox: 0.1574 d2.loss_iou: 0.3286 d3.loss_cls: 0.3405 d3.loss_bbox: 0.1566 d3.loss_iou: 0.3286 d4.loss_cls: 0.3345 d4.loss_bbox: 0.1588 d4.loss_iou: 0.3288 enc_loss_cls: 0.3951 enc_loss_bbox: 0.1854 enc_loss_iou: 0.3698 dn_loss_cls: 0.0657 dn_loss_bbox: 0.1606 dn_loss_iou: 0.2268 d0.dn_loss_cls: 0.1517 d0.dn_loss_bbox: 0.2798 d0.dn_loss_iou: 0.3622 d1.dn_loss_cls: 0.0988 d1.dn_loss_bbox: 0.1846 d1.dn_loss_iou: 0.2541 d2.dn_loss_cls: 0.0805 d2.dn_loss_bbox: 0.1661 d2.dn_loss_iou: 0.2345 d3.dn_loss_cls: 0.0708 d3.dn_loss_bbox: 0.1610 d3.dn_loss_iou: 0.2279 d4.dn_loss_cls: 0.0659 d4.dn_loss_bbox: 0.1607 d4.dn_loss_iou: 0.2269 d1.loss_lmm_region: 0.1166 loss_lmm_image: 0.8074 +2024/11/08 14:52:46 - mmengine - INFO - Iter(train) [116100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 9:48:38 time: 1.0366 data_time: 0.0185 memory: 24223 grad_norm: 27.5473 loss: 9.7072 loss_cls: 0.3152 loss_bbox: 0.1484 loss_iou: 0.2562 d0.loss_cls: 0.3477 d0.loss_bbox: 0.1648 d0.loss_iou: 0.2758 d1.loss_cls: 0.3334 d1.loss_bbox: 0.1527 d1.loss_iou: 0.2643 d2.loss_cls: 0.3211 d2.loss_bbox: 0.1525 d2.loss_iou: 0.2595 d3.loss_cls: 0.3157 d3.loss_bbox: 0.1497 d3.loss_iou: 0.2573 d4.loss_cls: 0.3158 d4.loss_bbox: 0.1483 d4.loss_iou: 0.2554 enc_loss_cls: 0.3731 enc_loss_bbox: 0.1742 enc_loss_iou: 0.2911 dn_loss_cls: 0.0836 dn_loss_bbox: 0.1783 dn_loss_iou: 0.2315 d0.dn_loss_cls: 0.1779 d0.dn_loss_bbox: 0.3472 d0.dn_loss_iou: 0.3892 d1.dn_loss_cls: 0.1174 d1.dn_loss_bbox: 0.2122 d1.dn_loss_iou: 0.2656 d2.dn_loss_cls: 0.1001 d2.dn_loss_bbox: 0.1864 d2.dn_loss_iou: 0.2410 d3.dn_loss_cls: 0.0903 d3.dn_loss_bbox: 0.1794 d3.dn_loss_iou: 0.2334 d4.dn_loss_cls: 0.0846 d4.dn_loss_bbox: 0.1784 d4.dn_loss_iou: 0.2316 d1.loss_lmm_region: 0.1176 loss_lmm_image: 0.7893 +2024/11/08 14:54:28 - mmengine - INFO - Iter(train) [116200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 9:46:53 time: 1.0258 data_time: 0.0184 memory: 23593 grad_norm: 21.0115 loss: 9.1215 loss_cls: 0.2489 loss_bbox: 0.1490 loss_iou: 0.2370 d0.loss_cls: 0.2740 d0.loss_bbox: 0.1630 d0.loss_iou: 0.2474 d1.loss_cls: 0.2616 d1.loss_bbox: 0.1524 d1.loss_iou: 0.2393 d2.loss_cls: 0.2572 d2.loss_bbox: 0.1455 d2.loss_iou: 0.2356 d3.loss_cls: 0.2530 d3.loss_bbox: 0.1480 d3.loss_iou: 0.2359 d4.loss_cls: 0.2487 d4.loss_bbox: 0.1491 d4.loss_iou: 0.2369 enc_loss_cls: 0.3048 enc_loss_bbox: 0.1696 enc_loss_iou: 0.2642 dn_loss_cls: 0.1057 dn_loss_bbox: 0.1880 dn_loss_iou: 0.2177 d0.dn_loss_cls: 0.1889 d0.dn_loss_bbox: 0.3413 d0.dn_loss_iou: 0.3652 d1.dn_loss_cls: 0.1431 d1.dn_loss_bbox: 0.2229 d1.dn_loss_iou: 0.2490 d2.dn_loss_cls: 0.1254 d2.dn_loss_bbox: 0.1964 d2.dn_loss_iou: 0.2252 d3.dn_loss_cls: 0.1160 d3.dn_loss_bbox: 0.1905 d3.dn_loss_iou: 0.2194 d4.dn_loss_cls: 0.1099 d4.dn_loss_bbox: 0.1881 d4.dn_loss_iou: 0.2177 d1.loss_lmm_region: 0.1453 loss_lmm_image: 0.7448 +2024/11/08 14:56:11 - mmengine - INFO - Iter(train) [116300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 9:45:08 time: 1.0127 data_time: 0.0183 memory: 23311 grad_norm: 20.9968 loss: 9.7252 loss_cls: 0.3177 loss_bbox: 0.1548 loss_iou: 0.2842 d0.loss_cls: 0.3621 d0.loss_bbox: 0.1658 d0.loss_iou: 0.2980 d1.loss_cls: 0.3447 d1.loss_bbox: 0.1576 d1.loss_iou: 0.2867 d2.loss_cls: 0.3282 d2.loss_bbox: 0.1592 d2.loss_iou: 0.2871 d3.loss_cls: 0.3246 d3.loss_bbox: 0.1548 d3.loss_iou: 0.2834 d4.loss_cls: 0.3175 d4.loss_bbox: 0.1575 d4.loss_iou: 0.2843 enc_loss_cls: 0.3757 enc_loss_bbox: 0.1773 enc_loss_iou: 0.3171 dn_loss_cls: 0.0883 dn_loss_bbox: 0.1584 dn_loss_iou: 0.2126 d0.dn_loss_cls: 0.1808 d0.dn_loss_bbox: 0.2961 d0.dn_loss_iou: 0.3549 d1.dn_loss_cls: 0.1285 d1.dn_loss_bbox: 0.1902 d1.dn_loss_iou: 0.2448 d2.dn_loss_cls: 0.1085 d2.dn_loss_bbox: 0.1662 d2.dn_loss_iou: 0.2212 d3.dn_loss_cls: 0.0938 d3.dn_loss_bbox: 0.1595 d3.dn_loss_iou: 0.2139 d4.dn_loss_cls: 0.0889 d4.dn_loss_bbox: 0.1583 d4.dn_loss_iou: 0.2126 d1.loss_lmm_region: 0.1270 loss_lmm_image: 0.7820 +2024/11/08 14:57:54 - mmengine - INFO - Iter(train) [116400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 9:43:24 time: 1.0353 data_time: 0.0184 memory: 24163 grad_norm: 22.5334 loss: 8.9633 loss_cls: 0.2830 loss_bbox: 0.1293 loss_iou: 0.2303 d0.loss_cls: 0.3213 d0.loss_bbox: 0.1415 d0.loss_iou: 0.2506 d1.loss_cls: 0.2984 d1.loss_bbox: 0.1368 d1.loss_iou: 0.2412 d2.loss_cls: 0.2942 d2.loss_bbox: 0.1308 d2.loss_iou: 0.2345 d3.loss_cls: 0.2904 d3.loss_bbox: 0.1295 d3.loss_iou: 0.2318 d4.loss_cls: 0.2816 d4.loss_bbox: 0.1306 d4.loss_iou: 0.2316 enc_loss_cls: 0.3531 enc_loss_bbox: 0.1515 enc_loss_iou: 0.2690 dn_loss_cls: 0.0834 dn_loss_bbox: 0.1698 dn_loss_iou: 0.2144 d0.dn_loss_cls: 0.1690 d0.dn_loss_bbox: 0.3157 d0.dn_loss_iou: 0.3566 d1.dn_loss_cls: 0.1152 d1.dn_loss_bbox: 0.2079 d1.dn_loss_iou: 0.2489 d2.dn_loss_cls: 0.0988 d2.dn_loss_bbox: 0.1790 d2.dn_loss_iou: 0.2234 d3.dn_loss_cls: 0.0881 d3.dn_loss_bbox: 0.1708 d3.dn_loss_iou: 0.2160 d4.dn_loss_cls: 0.0831 d4.dn_loss_bbox: 0.1698 d4.dn_loss_iou: 0.2143 d1.loss_lmm_region: 0.1339 loss_lmm_image: 0.7442 +2024/11/08 14:59:37 - mmengine - INFO - Iter(train) [116500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 9:41:39 time: 1.0188 data_time: 0.0184 memory: 23777 grad_norm: 23.6026 loss: 9.1983 loss_cls: 0.2671 loss_bbox: 0.1430 loss_iou: 0.2506 d0.loss_cls: 0.2977 d0.loss_bbox: 0.1567 d0.loss_iou: 0.2703 d1.loss_cls: 0.2842 d1.loss_bbox: 0.1452 d1.loss_iou: 0.2522 d2.loss_cls: 0.2757 d2.loss_bbox: 0.1440 d2.loss_iou: 0.2507 d3.loss_cls: 0.2719 d3.loss_bbox: 0.1417 d3.loss_iou: 0.2484 d4.loss_cls: 0.2674 d4.loss_bbox: 0.1428 d4.loss_iou: 0.2510 enc_loss_cls: 0.3252 enc_loss_bbox: 0.1720 enc_loss_iou: 0.2864 dn_loss_cls: 0.0719 dn_loss_bbox: 0.1685 dn_loss_iou: 0.2337 d0.dn_loss_cls: 0.1682 d0.dn_loss_bbox: 0.3341 d0.dn_loss_iou: 0.3939 d1.dn_loss_cls: 0.1084 d1.dn_loss_bbox: 0.2096 d1.dn_loss_iou: 0.2697 d2.dn_loss_cls: 0.0906 d2.dn_loss_bbox: 0.1801 d2.dn_loss_iou: 0.2441 d3.dn_loss_cls: 0.0761 d3.dn_loss_bbox: 0.1697 d3.dn_loss_iou: 0.2352 d4.dn_loss_cls: 0.0731 d4.dn_loss_bbox: 0.1685 d4.dn_loss_iou: 0.2336 d1.loss_lmm_region: 0.1277 loss_lmm_image: 0.7970 +2024/11/08 15:01:20 - mmengine - INFO - Iter(train) [116600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 9:39:55 time: 1.0404 data_time: 0.0183 memory: 24538 grad_norm: 20.2100 loss: 9.5153 loss_cls: 0.2836 loss_bbox: 0.1456 loss_iou: 0.2812 d0.loss_cls: 0.3173 d0.loss_bbox: 0.1663 d0.loss_iou: 0.3080 d1.loss_cls: 0.3013 d1.loss_bbox: 0.1503 d1.loss_iou: 0.2906 d2.loss_cls: 0.2921 d2.loss_bbox: 0.1491 d2.loss_iou: 0.2834 d3.loss_cls: 0.2920 d3.loss_bbox: 0.1469 d3.loss_iou: 0.2778 d4.loss_cls: 0.2872 d4.loss_bbox: 0.1452 d4.loss_iou: 0.2790 enc_loss_cls: 0.3370 enc_loss_bbox: 0.1799 enc_loss_iou: 0.3339 dn_loss_cls: 0.0835 dn_loss_bbox: 0.1602 dn_loss_iou: 0.2256 d0.dn_loss_cls: 0.1765 d0.dn_loss_bbox: 0.2957 d0.dn_loss_iou: 0.3707 d1.dn_loss_cls: 0.1252 d1.dn_loss_bbox: 0.1936 d1.dn_loss_iou: 0.2609 d2.dn_loss_cls: 0.1041 d2.dn_loss_bbox: 0.1688 d2.dn_loss_iou: 0.2343 d3.dn_loss_cls: 0.0932 d3.dn_loss_bbox: 0.1614 d3.dn_loss_iou: 0.2269 d4.dn_loss_cls: 0.0849 d4.dn_loss_bbox: 0.1602 d4.dn_loss_iou: 0.2256 d1.loss_lmm_region: 0.1309 loss_lmm_image: 0.7854 +2024/11/08 15:03:02 - mmengine - INFO - Iter(train) [116700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 9:38:10 time: 1.0246 data_time: 0.0186 memory: 23294 grad_norm: nan loss: 8.9939 loss_cls: 0.2676 loss_bbox: 0.1340 loss_iou: 0.2171 d0.loss_cls: 0.2937 d0.loss_bbox: 0.1484 d0.loss_iou: 0.2328 d1.loss_cls: 0.2885 d1.loss_bbox: 0.1328 d1.loss_iou: 0.2193 d2.loss_cls: 0.2786 d2.loss_bbox: 0.1352 d2.loss_iou: 0.2219 d3.loss_cls: 0.2739 d3.loss_bbox: 0.1340 d3.loss_iou: 0.2177 d4.loss_cls: 0.2680 d4.loss_bbox: 0.1333 d4.loss_iou: 0.2166 enc_loss_cls: 0.3222 enc_loss_bbox: 0.1568 enc_loss_iou: 0.2499 dn_loss_cls: 0.0762 dn_loss_bbox: 0.1918 dn_loss_iou: 0.2191 d0.dn_loss_cls: 0.1613 d0.dn_loss_bbox: 0.3751 d0.dn_loss_iou: 0.3728 d1.dn_loss_cls: 0.1081 d1.dn_loss_bbox: 0.2385 d1.dn_loss_iou: 0.2573 d2.dn_loss_cls: 0.0910 d2.dn_loss_bbox: 0.2086 d2.dn_loss_iou: 0.2303 d3.dn_loss_cls: 0.0812 d3.dn_loss_bbox: 0.1953 d3.dn_loss_iou: 0.2216 d4.dn_loss_cls: 0.0779 d4.dn_loss_bbox: 0.1918 d4.dn_loss_iou: 0.2191 d1.loss_lmm_region: 0.1288 loss_lmm_image: 0.8052 +2024/11/08 15:04:46 - mmengine - INFO - Iter(train) [116800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 9:36:26 time: 1.0356 data_time: 0.0185 memory: 22924 grad_norm: 21.0792 loss: 9.0761 loss_cls: 0.2604 loss_bbox: 0.1309 loss_iou: 0.2578 d0.loss_cls: 0.2933 d0.loss_bbox: 0.1440 d0.loss_iou: 0.2703 d1.loss_cls: 0.2768 d1.loss_bbox: 0.1341 d1.loss_iou: 0.2603 d2.loss_cls: 0.2670 d2.loss_bbox: 0.1327 d2.loss_iou: 0.2605 d3.loss_cls: 0.2634 d3.loss_bbox: 0.1318 d3.loss_iou: 0.2587 d4.loss_cls: 0.2638 d4.loss_bbox: 0.1285 d4.loss_iou: 0.2559 enc_loss_cls: 0.3049 enc_loss_bbox: 0.1557 enc_loss_iou: 0.2925 dn_loss_cls: 0.0743 dn_loss_bbox: 0.1717 dn_loss_iou: 0.2277 d0.dn_loss_cls: 0.1672 d0.dn_loss_bbox: 0.3401 d0.dn_loss_iou: 0.3811 d1.dn_loss_cls: 0.1112 d1.dn_loss_bbox: 0.2071 d1.dn_loss_iou: 0.2600 d2.dn_loss_cls: 0.0931 d2.dn_loss_bbox: 0.1778 d2.dn_loss_iou: 0.2348 d3.dn_loss_cls: 0.0806 d3.dn_loss_bbox: 0.1722 d3.dn_loss_iou: 0.2289 d4.dn_loss_cls: 0.0757 d4.dn_loss_bbox: 0.1716 d4.dn_loss_iou: 0.2277 d1.loss_lmm_region: 0.1432 loss_lmm_image: 0.7870 +2024/11/08 15:06:28 - mmengine - INFO - Iter(train) [116900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 9:34:41 time: 1.0167 data_time: 0.0184 memory: 23687 grad_norm: 26.1009 loss: 8.2095 loss_cls: 0.2391 loss_bbox: 0.1232 loss_iou: 0.2080 d0.loss_cls: 0.2579 d0.loss_bbox: 0.1422 d0.loss_iou: 0.2255 d1.loss_cls: 0.2510 d1.loss_bbox: 0.1319 d1.loss_iou: 0.2114 d2.loss_cls: 0.2440 d2.loss_bbox: 0.1261 d2.loss_iou: 0.2110 d3.loss_cls: 0.2422 d3.loss_bbox: 0.1233 d3.loss_iou: 0.2065 d4.loss_cls: 0.2421 d4.loss_bbox: 0.1222 d4.loss_iou: 0.2058 enc_loss_cls: 0.2743 enc_loss_bbox: 0.1530 enc_loss_iou: 0.2423 dn_loss_cls: 0.0786 dn_loss_bbox: 0.1580 dn_loss_iou: 0.2085 d0.dn_loss_cls: 0.1509 d0.dn_loss_bbox: 0.3031 d0.dn_loss_iou: 0.3547 d1.dn_loss_cls: 0.1022 d1.dn_loss_bbox: 0.1896 d1.dn_loss_iou: 0.2409 d2.dn_loss_cls: 0.0896 d2.dn_loss_bbox: 0.1651 d2.dn_loss_iou: 0.2166 d3.dn_loss_cls: 0.0825 d3.dn_loss_bbox: 0.1581 d3.dn_loss_iou: 0.2096 d4.dn_loss_cls: 0.0790 d4.dn_loss_bbox: 0.1580 d4.dn_loss_iou: 0.2084 d1.loss_lmm_region: 0.0937 loss_lmm_image: 0.7796 +2024/11/08 15:08:11 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/08 15:08:11 - mmengine - INFO - Iter(train) [117000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 9:32:56 time: 1.0272 data_time: 0.0184 memory: 23925 grad_norm: 21.9131 loss: 9.1766 loss_cls: 0.3010 loss_bbox: 0.1235 loss_iou: 0.2277 d0.loss_cls: 0.3289 d0.loss_bbox: 0.1412 d0.loss_iou: 0.2457 d1.loss_cls: 0.3206 d1.loss_bbox: 0.1267 d1.loss_iou: 0.2308 d2.loss_cls: 0.3127 d2.loss_bbox: 0.1240 d2.loss_iou: 0.2276 d3.loss_cls: 0.3066 d3.loss_bbox: 0.1256 d3.loss_iou: 0.2278 d4.loss_cls: 0.3022 d4.loss_bbox: 0.1248 d4.loss_iou: 0.2274 enc_loss_cls: 0.3385 enc_loss_bbox: 0.1596 enc_loss_iou: 0.2687 dn_loss_cls: 0.1141 dn_loss_bbox: 0.1752 dn_loss_iou: 0.2090 d0.dn_loss_cls: 0.1911 d0.dn_loss_bbox: 0.3377 d0.dn_loss_iou: 0.3533 d1.dn_loss_cls: 0.1448 d1.dn_loss_bbox: 0.2129 d1.dn_loss_iou: 0.2403 d2.dn_loss_cls: 0.1311 d2.dn_loss_bbox: 0.1858 d2.dn_loss_iou: 0.2171 d3.dn_loss_cls: 0.1216 d3.dn_loss_bbox: 0.1764 d3.dn_loss_iou: 0.2103 d4.dn_loss_cls: 0.1141 d4.dn_loss_bbox: 0.1751 d4.dn_loss_iou: 0.2089 d1.loss_lmm_region: 0.1200 loss_lmm_image: 0.7463 +2024/11/08 15:09:52 - mmengine - INFO - Iter(train) [117100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 9:31:12 time: 1.0183 data_time: 0.0184 memory: 23184 grad_norm: 23.7925 loss: 8.3975 loss_cls: 0.2346 loss_bbox: 0.1222 loss_iou: 0.2236 d0.loss_cls: 0.2632 d0.loss_bbox: 0.1313 d0.loss_iou: 0.2436 d1.loss_cls: 0.2481 d1.loss_bbox: 0.1258 d1.loss_iou: 0.2296 d2.loss_cls: 0.2429 d2.loss_bbox: 0.1219 d2.loss_iou: 0.2257 d3.loss_cls: 0.2398 d3.loss_bbox: 0.1224 d3.loss_iou: 0.2249 d4.loss_cls: 0.2345 d4.loss_bbox: 0.1226 d4.loss_iou: 0.2236 enc_loss_cls: 0.2782 enc_loss_bbox: 0.1461 enc_loss_iou: 0.2625 dn_loss_cls: 0.0805 dn_loss_bbox: 0.1646 dn_loss_iou: 0.2076 d0.dn_loss_cls: 0.1637 d0.dn_loss_bbox: 0.3151 d0.dn_loss_iou: 0.3592 d1.dn_loss_cls: 0.1107 d1.dn_loss_bbox: 0.2014 d1.dn_loss_iou: 0.2440 d2.dn_loss_cls: 0.0922 d2.dn_loss_bbox: 0.1734 d2.dn_loss_iou: 0.2168 d3.dn_loss_cls: 0.0860 d3.dn_loss_bbox: 0.1663 d3.dn_loss_iou: 0.2095 d4.dn_loss_cls: 0.0810 d4.dn_loss_bbox: 0.1646 d4.dn_loss_iou: 0.2075 d1.loss_lmm_region: 0.1331 loss_lmm_image: 0.7531 +2024/11/08 15:11:36 - mmengine - INFO - Iter(train) [117200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 9:29:27 time: 1.0371 data_time: 0.0185 memory: 24213 grad_norm: 21.2373 loss: 8.2265 loss_cls: 0.2458 loss_bbox: 0.1201 loss_iou: 0.2183 d0.loss_cls: 0.2767 d0.loss_bbox: 0.1313 d0.loss_iou: 0.2295 d1.loss_cls: 0.2599 d1.loss_bbox: 0.1267 d1.loss_iou: 0.2248 d2.loss_cls: 0.2547 d2.loss_bbox: 0.1187 d2.loss_iou: 0.2194 d3.loss_cls: 0.2520 d3.loss_bbox: 0.1184 d3.loss_iou: 0.2192 d4.loss_cls: 0.2486 d4.loss_bbox: 0.1190 d4.loss_iou: 0.2184 enc_loss_cls: 0.2890 enc_loss_bbox: 0.1419 enc_loss_iou: 0.2526 dn_loss_cls: 0.0866 dn_loss_bbox: 0.1453 dn_loss_iou: 0.2063 d0.dn_loss_cls: 0.1719 d0.dn_loss_bbox: 0.2908 d0.dn_loss_iou: 0.3481 d1.dn_loss_cls: 0.1172 d1.dn_loss_bbox: 0.1756 d1.dn_loss_iou: 0.2391 d2.dn_loss_cls: 0.1024 d2.dn_loss_bbox: 0.1522 d2.dn_loss_iou: 0.2137 d3.dn_loss_cls: 0.0930 d3.dn_loss_bbox: 0.1467 d3.dn_loss_iou: 0.2076 d4.dn_loss_cls: 0.0884 d4.dn_loss_bbox: 0.1452 d4.dn_loss_iou: 0.2063 d1.loss_lmm_region: 0.1068 loss_lmm_image: 0.6984 +2024/11/08 15:13:19 - mmengine - INFO - Iter(train) [117300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 9:27:43 time: 1.0280 data_time: 0.0184 memory: 25063 grad_norm: 21.1932 loss: 9.6538 loss_cls: 0.2872 loss_bbox: 0.1620 loss_iou: 0.2542 d0.loss_cls: 0.3199 d0.loss_bbox: 0.1824 d0.loss_iou: 0.2744 d1.loss_cls: 0.3027 d1.loss_bbox: 0.1683 d1.loss_iou: 0.2590 d2.loss_cls: 0.2940 d2.loss_bbox: 0.1641 d2.loss_iou: 0.2576 d3.loss_cls: 0.2908 d3.loss_bbox: 0.1660 d3.loss_iou: 0.2571 d4.loss_cls: 0.2852 d4.loss_bbox: 0.1645 d4.loss_iou: 0.2565 enc_loss_cls: 0.3422 enc_loss_bbox: 0.1835 enc_loss_iou: 0.2868 dn_loss_cls: 0.0964 dn_loss_bbox: 0.1811 dn_loss_iou: 0.2217 d0.dn_loss_cls: 0.1861 d0.dn_loss_bbox: 0.3323 d0.dn_loss_iou: 0.3637 d1.dn_loss_cls: 0.1356 d1.dn_loss_bbox: 0.2126 d1.dn_loss_iou: 0.2536 d2.dn_loss_cls: 0.1138 d2.dn_loss_bbox: 0.1891 d2.dn_loss_iou: 0.2298 d3.dn_loss_cls: 0.1034 d3.dn_loss_bbox: 0.1829 d3.dn_loss_iou: 0.2238 d4.dn_loss_cls: 0.0966 d4.dn_loss_bbox: 0.1811 d4.dn_loss_iou: 0.2218 d1.loss_lmm_region: 0.1577 loss_lmm_image: 0.8122 +2024/11/08 15:15:01 - mmengine - INFO - Iter(train) [117400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 9:25:58 time: 1.0269 data_time: 0.0185 memory: 24834 grad_norm: nan loss: 8.6683 loss_cls: 0.2412 loss_bbox: 0.1233 loss_iou: 0.2451 d0.loss_cls: 0.2697 d0.loss_bbox: 0.1346 d0.loss_iou: 0.2571 d1.loss_cls: 0.2563 d1.loss_bbox: 0.1271 d1.loss_iou: 0.2492 d2.loss_cls: 0.2528 d2.loss_bbox: 0.1215 d2.loss_iou: 0.2416 d3.loss_cls: 0.2486 d3.loss_bbox: 0.1222 d3.loss_iou: 0.2419 d4.loss_cls: 0.2422 d4.loss_bbox: 0.1229 d4.loss_iou: 0.2443 enc_loss_cls: 0.2823 enc_loss_bbox: 0.1488 enc_loss_iou: 0.2834 dn_loss_cls: 0.0806 dn_loss_bbox: 0.1597 dn_loss_iou: 0.2218 d0.dn_loss_cls: 0.1668 d0.dn_loss_bbox: 0.3180 d0.dn_loss_iou: 0.3744 d1.dn_loss_cls: 0.1099 d1.dn_loss_bbox: 0.1939 d1.dn_loss_iou: 0.2528 d2.dn_loss_cls: 0.0933 d2.dn_loss_bbox: 0.1693 d2.dn_loss_iou: 0.2304 d3.dn_loss_cls: 0.0846 d3.dn_loss_bbox: 0.1628 d3.dn_loss_iou: 0.2238 d4.dn_loss_cls: 0.0808 d4.dn_loss_bbox: 0.1598 d4.dn_loss_iou: 0.2217 d1.loss_lmm_region: 0.1288 loss_lmm_image: 0.7787 +2024/11/08 15:16:43 - mmengine - INFO - Iter(train) [117500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 9:24:13 time: 1.0286 data_time: 0.0184 memory: 23804 grad_norm: 26.5398 loss: 9.2980 loss_cls: 0.2853 loss_bbox: 0.1282 loss_iou: 0.2296 d0.loss_cls: 0.3212 d0.loss_bbox: 0.1484 d0.loss_iou: 0.2566 d1.loss_cls: 0.3055 d1.loss_bbox: 0.1373 d1.loss_iou: 0.2407 d2.loss_cls: 0.2999 d2.loss_bbox: 0.1292 d2.loss_iou: 0.2325 d3.loss_cls: 0.2932 d3.loss_bbox: 0.1279 d3.loss_iou: 0.2304 d4.loss_cls: 0.2854 d4.loss_bbox: 0.1298 d4.loss_iou: 0.2308 enc_loss_cls: 0.3428 enc_loss_bbox: 0.1567 enc_loss_iou: 0.2710 dn_loss_cls: 0.1054 dn_loss_bbox: 0.1768 dn_loss_iou: 0.2167 d0.dn_loss_cls: 0.1947 d0.dn_loss_bbox: 0.3395 d0.dn_loss_iou: 0.3711 d1.dn_loss_cls: 0.1380 d1.dn_loss_bbox: 0.2125 d1.dn_loss_iou: 0.2520 d2.dn_loss_cls: 0.1179 d2.dn_loss_bbox: 0.1853 d2.dn_loss_iou: 0.2258 d3.dn_loss_cls: 0.1097 d3.dn_loss_bbox: 0.1797 d3.dn_loss_iou: 0.2184 d4.dn_loss_cls: 0.1064 d4.dn_loss_bbox: 0.1767 d4.dn_loss_iou: 0.2166 d1.loss_lmm_region: 0.1625 loss_lmm_image: 0.8095 +2024/11/08 15:18:25 - mmengine - INFO - Iter(train) [117600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 9:22:29 time: 1.0193 data_time: 0.0183 memory: 24033 grad_norm: 22.6133 loss: 9.4138 loss_cls: 0.2837 loss_bbox: 0.1425 loss_iou: 0.2589 d0.loss_cls: 0.3233 d0.loss_bbox: 0.1639 d0.loss_iou: 0.2813 d1.loss_cls: 0.3074 d1.loss_bbox: 0.1501 d1.loss_iou: 0.2664 d2.loss_cls: 0.2989 d2.loss_bbox: 0.1429 d2.loss_iou: 0.2615 d3.loss_cls: 0.2906 d3.loss_bbox: 0.1429 d3.loss_iou: 0.2597 d4.loss_cls: 0.2855 d4.loss_bbox: 0.1417 d4.loss_iou: 0.2577 enc_loss_cls: 0.3379 enc_loss_bbox: 0.1803 enc_loss_iou: 0.3084 dn_loss_cls: 0.0784 dn_loss_bbox: 0.1717 dn_loss_iou: 0.2284 d0.dn_loss_cls: 0.1743 d0.dn_loss_bbox: 0.3278 d0.dn_loss_iou: 0.3811 d1.dn_loss_cls: 0.1101 d1.dn_loss_bbox: 0.2040 d1.dn_loss_iou: 0.2622 d2.dn_loss_cls: 0.0910 d2.dn_loss_bbox: 0.1811 d2.dn_loss_iou: 0.2378 d3.dn_loss_cls: 0.0830 d3.dn_loss_bbox: 0.1730 d3.dn_loss_iou: 0.2293 d4.dn_loss_cls: 0.0798 d4.dn_loss_bbox: 0.1717 d4.dn_loss_iou: 0.2283 d1.loss_lmm_region: 0.1282 loss_lmm_image: 0.7871 +2024/11/08 15:20:08 - mmengine - INFO - Iter(train) [117700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 9:20:44 time: 1.0258 data_time: 0.0184 memory: 24215 grad_norm: 21.4504 loss: 10.5049 loss_cls: 0.3282 loss_bbox: 0.1584 loss_iou: 0.3046 d0.loss_cls: 0.3730 d0.loss_bbox: 0.1697 d0.loss_iou: 0.3251 d1.loss_cls: 0.3529 d1.loss_bbox: 0.1586 d1.loss_iou: 0.3113 d2.loss_cls: 0.3437 d2.loss_bbox: 0.1546 d2.loss_iou: 0.3020 d3.loss_cls: 0.3384 d3.loss_bbox: 0.1531 d3.loss_iou: 0.3016 d4.loss_cls: 0.3291 d4.loss_bbox: 0.1602 d4.loss_iou: 0.3049 enc_loss_cls: 0.3905 enc_loss_bbox: 0.1892 enc_loss_iou: 0.3496 dn_loss_cls: 0.1039 dn_loss_bbox: 0.1781 dn_loss_iou: 0.2572 d0.dn_loss_cls: 0.1970 d0.dn_loss_bbox: 0.3395 d0.dn_loss_iou: 0.4188 d1.dn_loss_cls: 0.1413 d1.dn_loss_bbox: 0.2128 d1.dn_loss_iou: 0.2910 d2.dn_loss_cls: 0.1241 d2.dn_loss_bbox: 0.1882 d2.dn_loss_iou: 0.2674 d3.dn_loss_cls: 0.1099 d3.dn_loss_bbox: 0.1800 d3.dn_loss_iou: 0.2591 d4.dn_loss_cls: 0.1050 d4.dn_loss_bbox: 0.1782 d4.dn_loss_iou: 0.2570 d1.loss_lmm_region: 0.1523 loss_lmm_image: 0.7453 +2024/11/08 15:21:51 - mmengine - INFO - Iter(train) [117800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 9:19:00 time: 1.0255 data_time: 0.0184 memory: 24066 grad_norm: 28.5652 loss: 8.6911 loss_cls: 0.2746 loss_bbox: 0.1208 loss_iou: 0.2410 d0.loss_cls: 0.3075 d0.loss_bbox: 0.1320 d0.loss_iou: 0.2558 d1.loss_cls: 0.2914 d1.loss_bbox: 0.1269 d1.loss_iou: 0.2460 d2.loss_cls: 0.2905 d2.loss_bbox: 0.1205 d2.loss_iou: 0.2408 d3.loss_cls: 0.2807 d3.loss_bbox: 0.1182 d3.loss_iou: 0.2390 d4.loss_cls: 0.2776 d4.loss_bbox: 0.1203 d4.loss_iou: 0.2406 enc_loss_cls: 0.3280 enc_loss_bbox: 0.1519 enc_loss_iou: 0.2801 dn_loss_cls: 0.0678 dn_loss_bbox: 0.1474 dn_loss_iou: 0.2130 d0.dn_loss_cls: 0.1548 d0.dn_loss_bbox: 0.2986 d0.dn_loss_iou: 0.3570 d1.dn_loss_cls: 0.0960 d1.dn_loss_bbox: 0.1793 d1.dn_loss_iou: 0.2438 d2.dn_loss_cls: 0.0809 d2.dn_loss_bbox: 0.1568 d2.dn_loss_iou: 0.2213 d3.dn_loss_cls: 0.0729 d3.dn_loss_bbox: 0.1498 d3.dn_loss_iou: 0.2150 d4.dn_loss_cls: 0.0685 d4.dn_loss_bbox: 0.1475 d4.dn_loss_iou: 0.2131 d1.loss_lmm_region: 0.1290 loss_lmm_image: 0.7947 +2024/11/08 15:23:33 - mmengine - INFO - Iter(train) [117900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 9:17:15 time: 1.0181 data_time: 0.0183 memory: 23440 grad_norm: 23.4070 loss: 10.0567 loss_cls: 0.3300 loss_bbox: 0.1525 loss_iou: 0.2942 d0.loss_cls: 0.3681 d0.loss_bbox: 0.1666 d0.loss_iou: 0.3135 d1.loss_cls: 0.3534 d1.loss_bbox: 0.1551 d1.loss_iou: 0.2974 d2.loss_cls: 0.3436 d2.loss_bbox: 0.1521 d2.loss_iou: 0.2945 d3.loss_cls: 0.3382 d3.loss_bbox: 0.1508 d3.loss_iou: 0.2934 d4.loss_cls: 0.3338 d4.loss_bbox: 0.1510 d4.loss_iou: 0.2934 enc_loss_cls: 0.3832 enc_loss_bbox: 0.1769 enc_loss_iou: 0.3328 dn_loss_cls: 0.0940 dn_loss_bbox: 0.1652 dn_loss_iou: 0.2361 d0.dn_loss_cls: 0.1807 d0.dn_loss_bbox: 0.3149 d0.dn_loss_iou: 0.3856 d1.dn_loss_cls: 0.1246 d1.dn_loss_bbox: 0.2062 d1.dn_loss_iou: 0.2695 d2.dn_loss_cls: 0.1110 d2.dn_loss_bbox: 0.1750 d2.dn_loss_iou: 0.2443 d3.dn_loss_cls: 0.0989 d3.dn_loss_bbox: 0.1678 d3.dn_loss_iou: 0.2378 d4.dn_loss_cls: 0.0936 d4.dn_loss_bbox: 0.1652 d4.dn_loss_iou: 0.2361 d1.loss_lmm_region: 0.1317 loss_lmm_image: 0.7438 +2024/11/08 15:25:16 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/08 15:25:16 - mmengine - INFO - Iter(train) [118000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 9:15:30 time: 1.0364 data_time: 0.0183 memory: 24209 grad_norm: 20.8443 loss: 9.4161 loss_cls: 0.2897 loss_bbox: 0.1470 loss_iou: 0.2405 d0.loss_cls: 0.3328 d0.loss_bbox: 0.1591 d0.loss_iou: 0.2577 d1.loss_cls: 0.3086 d1.loss_bbox: 0.1507 d1.loss_iou: 0.2498 d2.loss_cls: 0.3023 d2.loss_bbox: 0.1481 d2.loss_iou: 0.2423 d3.loss_cls: 0.2954 d3.loss_bbox: 0.1469 d3.loss_iou: 0.2400 d4.loss_cls: 0.2897 d4.loss_bbox: 0.1464 d4.loss_iou: 0.2396 enc_loss_cls: 0.3428 enc_loss_bbox: 0.1701 enc_loss_iou: 0.2755 dn_loss_cls: 0.0986 dn_loss_bbox: 0.1811 dn_loss_iou: 0.2216 d0.dn_loss_cls: 0.1877 d0.dn_loss_bbox: 0.3475 d0.dn_loss_iou: 0.3723 d1.dn_loss_cls: 0.1330 d1.dn_loss_bbox: 0.2226 d1.dn_loss_iou: 0.2560 d2.dn_loss_cls: 0.1177 d2.dn_loss_bbox: 0.1918 d2.dn_loss_iou: 0.2316 d3.dn_loss_cls: 0.1061 d3.dn_loss_bbox: 0.1815 d3.dn_loss_iou: 0.2226 d4.dn_loss_cls: 0.0986 d4.dn_loss_bbox: 0.1813 d4.dn_loss_iou: 0.2216 d1.loss_lmm_region: 0.1352 loss_lmm_image: 0.7327 +2024/11/08 15:26:59 - mmengine - INFO - Iter(train) [118100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 9:13:46 time: 1.0217 data_time: 0.0184 memory: 23554 grad_norm: 21.6264 loss: 9.1361 loss_cls: 0.2657 loss_bbox: 0.1274 loss_iou: 0.2363 d0.loss_cls: 0.3076 d0.loss_bbox: 0.1446 d0.loss_iou: 0.2537 d1.loss_cls: 0.2923 d1.loss_bbox: 0.1287 d1.loss_iou: 0.2431 d2.loss_cls: 0.2803 d2.loss_bbox: 0.1254 d2.loss_iou: 0.2372 d3.loss_cls: 0.2721 d3.loss_bbox: 0.1270 d3.loss_iou: 0.2384 d4.loss_cls: 0.2664 d4.loss_bbox: 0.1270 d4.loss_iou: 0.2360 enc_loss_cls: 0.3293 enc_loss_bbox: 0.1524 enc_loss_iou: 0.2673 dn_loss_cls: 0.1098 dn_loss_bbox: 0.1693 dn_loss_iou: 0.2245 d0.dn_loss_cls: 0.1898 d0.dn_loss_bbox: 0.3416 d0.dn_loss_iou: 0.3818 d1.dn_loss_cls: 0.1386 d1.dn_loss_bbox: 0.2099 d1.dn_loss_iou: 0.2606 d2.dn_loss_cls: 0.1215 d2.dn_loss_bbox: 0.1792 d2.dn_loss_iou: 0.2337 d3.dn_loss_cls: 0.1123 d3.dn_loss_bbox: 0.1715 d3.dn_loss_iou: 0.2268 d4.dn_loss_cls: 0.1087 d4.dn_loss_bbox: 0.1691 d4.dn_loss_iou: 0.2245 d1.loss_lmm_region: 0.1399 loss_lmm_image: 0.7645 +2024/11/08 15:28:41 - mmengine - INFO - Iter(train) [118200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 9:12:01 time: 1.0227 data_time: 0.0184 memory: 23794 grad_norm: 23.6439 loss: 9.5574 loss_cls: 0.2891 loss_bbox: 0.1510 loss_iou: 0.2784 d0.loss_cls: 0.3237 d0.loss_bbox: 0.1664 d0.loss_iou: 0.2953 d1.loss_cls: 0.3059 d1.loss_bbox: 0.1566 d1.loss_iou: 0.2853 d2.loss_cls: 0.2973 d2.loss_bbox: 0.1542 d2.loss_iou: 0.2815 d3.loss_cls: 0.2940 d3.loss_bbox: 0.1506 d3.loss_iou: 0.2785 d4.loss_cls: 0.2902 d4.loss_bbox: 0.1506 d4.loss_iou: 0.2774 enc_loss_cls: 0.3453 enc_loss_bbox: 0.1782 enc_loss_iou: 0.3131 dn_loss_cls: 0.0672 dn_loss_bbox: 0.1658 dn_loss_iou: 0.2479 d0.dn_loss_cls: 0.1571 d0.dn_loss_bbox: 0.3132 d0.dn_loss_iou: 0.4024 d1.dn_loss_cls: 0.0987 d1.dn_loss_bbox: 0.2032 d1.dn_loss_iou: 0.2850 d2.dn_loss_cls: 0.0820 d2.dn_loss_bbox: 0.1744 d2.dn_loss_iou: 0.2568 d3.dn_loss_cls: 0.0732 d3.dn_loss_bbox: 0.1669 d3.dn_loss_iou: 0.2487 d4.dn_loss_cls: 0.0679 d4.dn_loss_bbox: 0.1657 d4.dn_loss_iou: 0.2477 d1.loss_lmm_region: 0.1244 loss_lmm_image: 0.7466 +2024/11/08 15:30:24 - mmengine - INFO - Iter(train) [118300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 9:10:16 time: 1.0207 data_time: 0.0185 memory: 23422 grad_norm: 22.2592 loss: 9.1721 loss_cls: 0.2689 loss_bbox: 0.1334 loss_iou: 0.2392 d0.loss_cls: 0.2898 d0.loss_bbox: 0.1463 d0.loss_iou: 0.2537 d1.loss_cls: 0.2725 d1.loss_bbox: 0.1428 d1.loss_iou: 0.2470 d2.loss_cls: 0.2719 d2.loss_bbox: 0.1356 d2.loss_iou: 0.2403 d3.loss_cls: 0.2691 d3.loss_bbox: 0.1353 d3.loss_iou: 0.2405 d4.loss_cls: 0.2659 d4.loss_bbox: 0.1348 d4.loss_iou: 0.2400 enc_loss_cls: 0.3140 enc_loss_bbox: 0.1596 enc_loss_iou: 0.2738 dn_loss_cls: 0.0955 dn_loss_bbox: 0.1772 dn_loss_iou: 0.2279 d0.dn_loss_cls: 0.1825 d0.dn_loss_bbox: 0.3553 d0.dn_loss_iou: 0.3865 d1.dn_loss_cls: 0.1270 d1.dn_loss_bbox: 0.2149 d1.dn_loss_iou: 0.2658 d2.dn_loss_cls: 0.1100 d2.dn_loss_bbox: 0.1877 d2.dn_loss_iou: 0.2371 d3.dn_loss_cls: 0.1011 d3.dn_loss_bbox: 0.1785 d3.dn_loss_iou: 0.2293 d4.dn_loss_cls: 0.0958 d4.dn_loss_bbox: 0.1771 d4.dn_loss_iou: 0.2279 d1.loss_lmm_region: 0.1434 loss_lmm_image: 0.7771 +2024/11/08 15:32:07 - mmengine - INFO - Iter(train) [118400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 9:08:32 time: 1.0349 data_time: 0.0184 memory: 24073 grad_norm: 23.5794 loss: 10.7228 loss_cls: 0.3717 loss_bbox: 0.1852 loss_iou: 0.3271 d0.loss_cls: 0.4004 d0.loss_bbox: 0.2019 d0.loss_iou: 0.3486 d1.loss_cls: 0.3918 d1.loss_bbox: 0.1897 d1.loss_iou: 0.3318 d2.loss_cls: 0.3826 d2.loss_bbox: 0.1823 d2.loss_iou: 0.3240 d3.loss_cls: 0.3778 d3.loss_bbox: 0.1808 d3.loss_iou: 0.3254 d4.loss_cls: 0.3699 d4.loss_bbox: 0.1851 d4.loss_iou: 0.3274 enc_loss_cls: 0.4245 enc_loss_bbox: 0.2128 enc_loss_iou: 0.3693 dn_loss_cls: 0.0887 dn_loss_bbox: 0.1530 dn_loss_iou: 0.2273 d0.dn_loss_cls: 0.1802 d0.dn_loss_bbox: 0.3107 d0.dn_loss_iou: 0.3788 d1.dn_loss_cls: 0.1230 d1.dn_loss_bbox: 0.1891 d1.dn_loss_iou: 0.2651 d2.dn_loss_cls: 0.1079 d2.dn_loss_bbox: 0.1642 d2.dn_loss_iou: 0.2374 d3.dn_loss_cls: 0.0937 d3.dn_loss_bbox: 0.1554 d3.dn_loss_iou: 0.2294 d4.dn_loss_cls: 0.0894 d4.dn_loss_bbox: 0.1530 d4.dn_loss_iou: 0.2273 d1.loss_lmm_region: 0.1525 loss_lmm_image: 0.7866 +2024/11/08 15:33:50 - mmengine - INFO - Iter(train) [118500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 9:06:48 time: 1.0332 data_time: 0.0184 memory: 23383 grad_norm: 21.9019 loss: 10.4675 loss_cls: 0.3314 loss_bbox: 0.1796 loss_iou: 0.3251 d0.loss_cls: 0.3665 d0.loss_bbox: 0.2048 d0.loss_iou: 0.3554 d1.loss_cls: 0.3520 d1.loss_bbox: 0.1851 d1.loss_iou: 0.3316 d2.loss_cls: 0.3436 d2.loss_bbox: 0.1792 d2.loss_iou: 0.3253 d3.loss_cls: 0.3389 d3.loss_bbox: 0.1800 d3.loss_iou: 0.3239 d4.loss_cls: 0.3324 d4.loss_bbox: 0.1792 d4.loss_iou: 0.3248 enc_loss_cls: 0.3836 enc_loss_bbox: 0.2196 enc_loss_iou: 0.3780 dn_loss_cls: 0.0753 dn_loss_bbox: 0.1628 dn_loss_iou: 0.2268 d0.dn_loss_cls: 0.1737 d0.dn_loss_bbox: 0.3412 d0.dn_loss_iou: 0.3970 d1.dn_loss_cls: 0.1170 d1.dn_loss_bbox: 0.2063 d1.dn_loss_iou: 0.2664 d2.dn_loss_cls: 0.0944 d2.dn_loss_bbox: 0.1746 d2.dn_loss_iou: 0.2365 d3.dn_loss_cls: 0.0832 d3.dn_loss_bbox: 0.1644 d3.dn_loss_iou: 0.2280 d4.dn_loss_cls: 0.0764 d4.dn_loss_bbox: 0.1628 d4.dn_loss_iou: 0.2266 d1.loss_lmm_region: 0.1178 loss_lmm_image: 0.7963 +2024/11/08 15:35:33 - mmengine - INFO - Iter(train) [118600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 9:05:03 time: 1.0325 data_time: 0.0184 memory: 22734 grad_norm: 23.2081 loss: 9.0020 loss_cls: 0.2786 loss_bbox: 0.1243 loss_iou: 0.2263 d0.loss_cls: 0.3099 d0.loss_bbox: 0.1329 d0.loss_iou: 0.2425 d1.loss_cls: 0.2930 d1.loss_bbox: 0.1245 d1.loss_iou: 0.2319 d2.loss_cls: 0.2933 d2.loss_bbox: 0.1194 d2.loss_iou: 0.2238 d3.loss_cls: 0.2874 d3.loss_bbox: 0.1198 d3.loss_iou: 0.2243 d4.loss_cls: 0.2850 d4.loss_bbox: 0.1215 d4.loss_iou: 0.2242 enc_loss_cls: 0.3275 enc_loss_bbox: 0.1456 enc_loss_iou: 0.2631 dn_loss_cls: 0.1234 dn_loss_bbox: 0.1528 dn_loss_iou: 0.2176 d0.dn_loss_cls: 0.1904 d0.dn_loss_bbox: 0.3140 d0.dn_loss_iou: 0.3763 d1.dn_loss_cls: 0.1455 d1.dn_loss_bbox: 0.1899 d1.dn_loss_iou: 0.2570 d2.dn_loss_cls: 0.1343 d2.dn_loss_bbox: 0.1636 d2.dn_loss_iou: 0.2294 d3.dn_loss_cls: 0.1255 d3.dn_loss_bbox: 0.1544 d3.dn_loss_iou: 0.2200 d4.dn_loss_cls: 0.1232 d4.dn_loss_bbox: 0.1530 d4.dn_loss_iou: 0.2177 d1.loss_lmm_region: 0.1327 loss_lmm_image: 0.7824 +2024/11/08 15:37:15 - mmengine - INFO - Iter(train) [118700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 9:03:19 time: 1.0352 data_time: 0.0184 memory: 23640 grad_norm: 22.1340 loss: 8.5790 loss_cls: 0.2496 loss_bbox: 0.1285 loss_iou: 0.2335 d0.loss_cls: 0.2736 d0.loss_bbox: 0.1443 d0.loss_iou: 0.2545 d1.loss_cls: 0.2574 d1.loss_bbox: 0.1403 d1.loss_iou: 0.2446 d2.loss_cls: 0.2576 d2.loss_bbox: 0.1294 d2.loss_iou: 0.2352 d3.loss_cls: 0.2547 d3.loss_bbox: 0.1279 d3.loss_iou: 0.2322 d4.loss_cls: 0.2509 d4.loss_bbox: 0.1279 d4.loss_iou: 0.2344 enc_loss_cls: 0.2905 enc_loss_bbox: 0.1563 enc_loss_iou: 0.2720 dn_loss_cls: 0.0730 dn_loss_bbox: 0.1599 dn_loss_iou: 0.2174 d0.dn_loss_cls: 0.1477 d0.dn_loss_bbox: 0.3170 d0.dn_loss_iou: 0.3629 d1.dn_loss_cls: 0.0983 d1.dn_loss_bbox: 0.1885 d1.dn_loss_iou: 0.2460 d2.dn_loss_cls: 0.0842 d2.dn_loss_bbox: 0.1682 d2.dn_loss_iou: 0.2242 d3.dn_loss_cls: 0.0768 d3.dn_loss_bbox: 0.1609 d3.dn_loss_iou: 0.2184 d4.dn_loss_cls: 0.0735 d4.dn_loss_bbox: 0.1599 d4.dn_loss_iou: 0.2174 d1.loss_lmm_region: 0.1117 loss_lmm_image: 0.7779 +2024/11/08 15:38:57 - mmengine - INFO - Iter(train) [118800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 9:01:34 time: 1.0231 data_time: 0.0184 memory: 23035 grad_norm: 22.5417 loss: 8.1992 loss_cls: 0.2624 loss_bbox: 0.1093 loss_iou: 0.2082 d0.loss_cls: 0.2964 d0.loss_bbox: 0.1302 d0.loss_iou: 0.2352 d1.loss_cls: 0.2809 d1.loss_bbox: 0.1152 d1.loss_iou: 0.2151 d2.loss_cls: 0.2719 d2.loss_bbox: 0.1130 d2.loss_iou: 0.2112 d3.loss_cls: 0.2681 d3.loss_bbox: 0.1096 d3.loss_iou: 0.2089 d4.loss_cls: 0.2622 d4.loss_bbox: 0.1092 d4.loss_iou: 0.2085 enc_loss_cls: 0.3148 enc_loss_bbox: 0.1452 enc_loss_iou: 0.2519 dn_loss_cls: 0.0629 dn_loss_bbox: 0.1449 dn_loss_iou: 0.1940 d0.dn_loss_cls: 0.1484 d0.dn_loss_bbox: 0.3038 d0.dn_loss_iou: 0.3463 d1.dn_loss_cls: 0.0957 d1.dn_loss_bbox: 0.1782 d1.dn_loss_iou: 0.2265 d2.dn_loss_cls: 0.0782 d2.dn_loss_bbox: 0.1508 d2.dn_loss_iou: 0.2021 d3.dn_loss_cls: 0.0670 d3.dn_loss_bbox: 0.1453 d3.dn_loss_iou: 0.1952 d4.dn_loss_cls: 0.0627 d4.dn_loss_bbox: 0.1448 d4.dn_loss_iou: 0.1940 d1.loss_lmm_region: 0.1175 loss_lmm_image: 0.8136 +2024/11/08 15:40:39 - mmengine - INFO - Iter(train) [118900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 8:59:49 time: 1.0219 data_time: 0.0183 memory: 24102 grad_norm: 21.3607 loss: 8.5310 loss_cls: 0.2916 loss_bbox: 0.1190 loss_iou: 0.2323 d0.loss_cls: 0.3169 d0.loss_bbox: 0.1328 d0.loss_iou: 0.2562 d1.loss_cls: 0.3077 d1.loss_bbox: 0.1250 d1.loss_iou: 0.2368 d2.loss_cls: 0.3009 d2.loss_bbox: 0.1220 d2.loss_iou: 0.2329 d3.loss_cls: 0.2983 d3.loss_bbox: 0.1191 d3.loss_iou: 0.2320 d4.loss_cls: 0.2916 d4.loss_bbox: 0.1193 d4.loss_iou: 0.2326 enc_loss_cls: 0.3297 enc_loss_bbox: 0.1456 enc_loss_iou: 0.2766 dn_loss_cls: 0.0898 dn_loss_bbox: 0.1257 dn_loss_iou: 0.1890 d0.dn_loss_cls: 0.1747 d0.dn_loss_bbox: 0.2570 d0.dn_loss_iou: 0.3326 d1.dn_loss_cls: 0.1260 d1.dn_loss_bbox: 0.1576 d1.dn_loss_iou: 0.2242 d2.dn_loss_cls: 0.1102 d2.dn_loss_bbox: 0.1342 d2.dn_loss_iou: 0.1975 d3.dn_loss_cls: 0.0972 d3.dn_loss_bbox: 0.1267 d3.dn_loss_iou: 0.1899 d4.dn_loss_cls: 0.0910 d4.dn_loss_bbox: 0.1258 d4.dn_loss_iou: 0.1890 d1.loss_lmm_region: 0.1196 loss_lmm_image: 0.7547 +2024/11/08 15:42:21 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/08 15:42:21 - mmengine - INFO - Iter(train) [119000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 8:58:04 time: 1.0280 data_time: 0.0182 memory: 22901 grad_norm: 26.2042 loss: 9.3583 loss_cls: 0.3166 loss_bbox: 0.1317 loss_iou: 0.2709 d0.loss_cls: 0.3513 d0.loss_bbox: 0.1472 d0.loss_iou: 0.2904 d1.loss_cls: 0.3332 d1.loss_bbox: 0.1380 d1.loss_iou: 0.2808 d2.loss_cls: 0.3208 d2.loss_bbox: 0.1341 d2.loss_iou: 0.2745 d3.loss_cls: 0.3185 d3.loss_bbox: 0.1311 d3.loss_iou: 0.2711 d4.loss_cls: 0.3160 d4.loss_bbox: 0.1314 d4.loss_iou: 0.2704 enc_loss_cls: 0.3621 enc_loss_bbox: 0.1614 enc_loss_iou: 0.3153 dn_loss_cls: 0.1182 dn_loss_bbox: 0.1361 dn_loss_iou: 0.2010 d0.dn_loss_cls: 0.1929 d0.dn_loss_bbox: 0.2744 d0.dn_loss_iou: 0.3501 d1.dn_loss_cls: 0.1332 d1.dn_loss_bbox: 0.1653 d1.dn_loss_iou: 0.2338 d2.dn_loss_cls: 0.1172 d2.dn_loss_bbox: 0.1448 d2.dn_loss_iou: 0.2102 d3.dn_loss_cls: 0.1250 d3.dn_loss_bbox: 0.1377 d3.dn_loss_iou: 0.2022 d4.dn_loss_cls: 0.1184 d4.dn_loss_bbox: 0.1362 d4.dn_loss_iou: 0.2012 d1.loss_lmm_region: 0.1251 loss_lmm_image: 0.7685 +2024/11/08 15:44:05 - mmengine - INFO - Iter(train) [119100/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 8:56:20 time: 1.0266 data_time: 0.0183 memory: 23302 grad_norm: 22.6587 loss: 9.0352 loss_cls: 0.2443 loss_bbox: 0.1383 loss_iou: 0.2386 d0.loss_cls: 0.2735 d0.loss_bbox: 0.1507 d0.loss_iou: 0.2519 d1.loss_cls: 0.2554 d1.loss_bbox: 0.1420 d1.loss_iou: 0.2442 d2.loss_cls: 0.2490 d2.loss_bbox: 0.1396 d2.loss_iou: 0.2396 d3.loss_cls: 0.2470 d3.loss_bbox: 0.1390 d3.loss_iou: 0.2395 d4.loss_cls: 0.2453 d4.loss_bbox: 0.1381 d4.loss_iou: 0.2393 enc_loss_cls: 0.2848 enc_loss_bbox: 0.1605 enc_loss_iou: 0.2687 dn_loss_cls: 0.0707 dn_loss_bbox: 0.1997 dn_loss_iou: 0.2416 d0.dn_loss_cls: 0.1513 d0.dn_loss_bbox: 0.3659 d0.dn_loss_iou: 0.3909 d1.dn_loss_cls: 0.0995 d1.dn_loss_bbox: 0.2315 d1.dn_loss_iou: 0.2718 d2.dn_loss_cls: 0.0829 d2.dn_loss_bbox: 0.2069 d2.dn_loss_iou: 0.2487 d3.dn_loss_cls: 0.0736 d3.dn_loss_bbox: 0.2008 d3.dn_loss_iou: 0.2427 d4.dn_loss_cls: 0.0708 d4.dn_loss_bbox: 0.1997 d4.dn_loss_iou: 0.2415 d1.loss_lmm_region: 0.1238 loss_lmm_image: 0.7916 +2024/11/08 15:45:48 - mmengine - INFO - Iter(train) [119200/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 8:54:36 time: 1.0377 data_time: 0.0184 memory: 23288 grad_norm: 25.3854 loss: 9.9489 loss_cls: 0.2761 loss_bbox: 0.1392 loss_iou: 0.2298 d0.loss_cls: 0.3084 d0.loss_bbox: 0.1607 d0.loss_iou: 0.2586 d1.loss_cls: 0.2907 d1.loss_bbox: 0.1525 d1.loss_iou: 0.2451 d2.loss_cls: 0.2835 d2.loss_bbox: 0.1462 d2.loss_iou: 0.2326 d3.loss_cls: 0.2827 d3.loss_bbox: 0.1409 d3.loss_iou: 0.2296 d4.loss_cls: 0.2799 d4.loss_bbox: 0.1366 d4.loss_iou: 0.2279 enc_loss_cls: 0.3251 enc_loss_bbox: 0.1697 enc_loss_iou: 0.2777 dn_loss_cls: 0.2521 dn_loss_bbox: 0.1784 dn_loss_iou: 0.2211 d0.dn_loss_cls: 0.2514 d0.dn_loss_bbox: 0.3386 d0.dn_loss_iou: 0.3694 d1.dn_loss_cls: 0.2404 d1.dn_loss_bbox: 0.2136 d1.dn_loss_iou: 0.2536 d2.dn_loss_cls: 0.2226 d2.dn_loss_bbox: 0.1903 d2.dn_loss_iou: 0.2300 d3.dn_loss_cls: 0.2368 d3.dn_loss_bbox: 0.1797 d3.dn_loss_iou: 0.2223 d4.dn_loss_cls: 0.2403 d4.dn_loss_bbox: 0.1785 d4.dn_loss_iou: 0.2210 d1.loss_lmm_region: 0.1317 loss_lmm_image: 0.7837 +2024/11/08 15:47:30 - mmengine - INFO - Iter(train) [119300/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 8:52:51 time: 1.0236 data_time: 0.0183 memory: 23966 grad_norm: 22.2935 loss: 8.9585 loss_cls: 0.2719 loss_bbox: 0.1409 loss_iou: 0.2308 d0.loss_cls: 0.3033 d0.loss_bbox: 0.1617 d0.loss_iou: 0.2481 d1.loss_cls: 0.2895 d1.loss_bbox: 0.1479 d1.loss_iou: 0.2366 d2.loss_cls: 0.2818 d2.loss_bbox: 0.1452 d2.loss_iou: 0.2326 d3.loss_cls: 0.2773 d3.loss_bbox: 0.1410 d3.loss_iou: 0.2323 d4.loss_cls: 0.2738 d4.loss_bbox: 0.1410 d4.loss_iou: 0.2302 enc_loss_cls: 0.3204 enc_loss_bbox: 0.1741 enc_loss_iou: 0.2664 dn_loss_cls: 0.0824 dn_loss_bbox: 0.1685 dn_loss_iou: 0.2099 d0.dn_loss_cls: 0.1772 d0.dn_loss_bbox: 0.3240 d0.dn_loss_iou: 0.3586 d1.dn_loss_cls: 0.1177 d1.dn_loss_bbox: 0.1996 d1.dn_loss_iou: 0.2414 d2.dn_loss_cls: 0.1007 d2.dn_loss_bbox: 0.1744 d2.dn_loss_iou: 0.2160 d3.dn_loss_cls: 0.0890 d3.dn_loss_bbox: 0.1691 d3.dn_loss_iou: 0.2108 d4.dn_loss_cls: 0.0830 d4.dn_loss_bbox: 0.1683 d4.dn_loss_iou: 0.2099 d1.loss_lmm_region: 0.1258 loss_lmm_image: 0.7854 +2024/11/08 15:49:13 - mmengine - INFO - Iter(train) [119400/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 8:51:07 time: 1.0423 data_time: 0.0184 memory: 22730 grad_norm: 22.6475 loss: 9.7102 loss_cls: 0.3162 loss_bbox: 0.1623 loss_iou: 0.2860 d0.loss_cls: 0.3599 d0.loss_bbox: 0.1795 d0.loss_iou: 0.3061 d1.loss_cls: 0.3445 d1.loss_bbox: 0.1638 d1.loss_iou: 0.2899 d2.loss_cls: 0.3347 d2.loss_bbox: 0.1606 d2.loss_iou: 0.2857 d3.loss_cls: 0.3220 d3.loss_bbox: 0.1647 d3.loss_iou: 0.2879 d4.loss_cls: 0.3164 d4.loss_bbox: 0.1630 d4.loss_iou: 0.2859 enc_loss_cls: 0.3698 enc_loss_bbox: 0.1860 enc_loss_iou: 0.3247 dn_loss_cls: 0.0745 dn_loss_bbox: 0.1555 dn_loss_iou: 0.2247 d0.dn_loss_cls: 0.1602 d0.dn_loss_bbox: 0.2951 d0.dn_loss_iou: 0.3689 d1.dn_loss_cls: 0.1069 d1.dn_loss_bbox: 0.1848 d1.dn_loss_iou: 0.2525 d2.dn_loss_cls: 0.0903 d2.dn_loss_bbox: 0.1629 d2.dn_loss_iou: 0.2320 d3.dn_loss_cls: 0.0804 d3.dn_loss_bbox: 0.1570 d3.dn_loss_iou: 0.2258 d4.dn_loss_cls: 0.0746 d4.dn_loss_bbox: 0.1555 d4.dn_loss_iou: 0.2249 d1.loss_lmm_region: 0.1276 loss_lmm_image: 0.7469 +2024/11/08 15:50:56 - mmengine - INFO - Iter(train) [119500/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 8:49:22 time: 1.0267 data_time: 0.0186 memory: 23608 grad_norm: 19.7109 loss: 9.7147 loss_cls: 0.2783 loss_bbox: 0.1540 loss_iou: 0.2580 d0.loss_cls: 0.3100 d0.loss_bbox: 0.1772 d0.loss_iou: 0.2807 d1.loss_cls: 0.2952 d1.loss_bbox: 0.1660 d1.loss_iou: 0.2694 d2.loss_cls: 0.2879 d2.loss_bbox: 0.1614 d2.loss_iou: 0.2615 d3.loss_cls: 0.2843 d3.loss_bbox: 0.1557 d3.loss_iou: 0.2592 d4.loss_cls: 0.2767 d4.loss_bbox: 0.1555 d4.loss_iou: 0.2590 enc_loss_cls: 0.3289 enc_loss_bbox: 0.1828 enc_loss_iou: 0.2966 dn_loss_cls: 0.0755 dn_loss_bbox: 0.2015 dn_loss_iou: 0.2490 d0.dn_loss_cls: 0.1584 d0.dn_loss_bbox: 0.3573 d0.dn_loss_iou: 0.3981 d1.dn_loss_cls: 0.1084 d1.dn_loss_bbox: 0.2426 d1.dn_loss_iou: 0.2837 d2.dn_loss_cls: 0.0914 d2.dn_loss_bbox: 0.2149 d2.dn_loss_iou: 0.2590 d3.dn_loss_cls: 0.0820 d3.dn_loss_bbox: 0.2028 d3.dn_loss_iou: 0.2503 d4.dn_loss_cls: 0.0759 d4.dn_loss_bbox: 0.2016 d4.dn_loss_iou: 0.2488 d1.loss_lmm_region: 0.1192 loss_lmm_image: 0.7962 +2024/11/08 15:52:39 - mmengine - INFO - Iter(train) [119600/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 8:47:37 time: 1.0307 data_time: 0.0184 memory: 24250 grad_norm: 24.8066 loss: 9.5230 loss_cls: 0.3175 loss_bbox: 0.1313 loss_iou: 0.2356 d0.loss_cls: 0.3431 d0.loss_bbox: 0.1430 d0.loss_iou: 0.2603 d1.loss_cls: 0.3323 d1.loss_bbox: 0.1334 d1.loss_iou: 0.2427 d2.loss_cls: 0.3242 d2.loss_bbox: 0.1316 d2.loss_iou: 0.2378 d3.loss_cls: 0.3229 d3.loss_bbox: 0.1311 d3.loss_iou: 0.2367 d4.loss_cls: 0.3166 d4.loss_bbox: 0.1318 d4.loss_iou: 0.2374 enc_loss_cls: 0.3654 enc_loss_bbox: 0.1557 enc_loss_iou: 0.2741 dn_loss_cls: 0.1091 dn_loss_bbox: 0.1786 dn_loss_iou: 0.2214 d0.dn_loss_cls: 0.1957 d0.dn_loss_bbox: 0.3262 d0.dn_loss_iou: 0.3707 d1.dn_loss_cls: 0.1390 d1.dn_loss_bbox: 0.2135 d1.dn_loss_iou: 0.2582 d2.dn_loss_cls: 0.1269 d2.dn_loss_bbox: 0.1877 d2.dn_loss_iou: 0.2320 d3.dn_loss_cls: 0.1181 d3.dn_loss_bbox: 0.1801 d3.dn_loss_iou: 0.2234 d4.dn_loss_cls: 0.1107 d4.dn_loss_bbox: 0.1783 d4.dn_loss_iou: 0.2214 d1.loss_lmm_region: 0.1180 loss_lmm_image: 0.8094 +2024/11/08 15:54:21 - mmengine - INFO - Iter(train) [119700/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 8:45:53 time: 1.0204 data_time: 0.0184 memory: 23720 grad_norm: 22.8308 loss: 9.5623 loss_cls: 0.3153 loss_bbox: 0.1358 loss_iou: 0.2706 d0.loss_cls: 0.3611 d0.loss_bbox: 0.1484 d0.loss_iou: 0.2881 d1.loss_cls: 0.3331 d1.loss_bbox: 0.1397 d1.loss_iou: 0.2797 d2.loss_cls: 0.3335 d2.loss_bbox: 0.1338 d2.loss_iou: 0.2708 d3.loss_cls: 0.3234 d3.loss_bbox: 0.1349 d3.loss_iou: 0.2703 d4.loss_cls: 0.3188 d4.loss_bbox: 0.1350 d4.loss_iou: 0.2707 enc_loss_cls: 0.3710 enc_loss_bbox: 0.1619 enc_loss_iou: 0.3136 dn_loss_cls: 0.0879 dn_loss_bbox: 0.1554 dn_loss_iou: 0.2156 d0.dn_loss_cls: 0.1677 d0.dn_loss_bbox: 0.3210 d0.dn_loss_iou: 0.3756 d1.dn_loss_cls: 0.1181 d1.dn_loss_bbox: 0.1981 d1.dn_loss_iou: 0.2536 d2.dn_loss_cls: 0.1011 d2.dn_loss_bbox: 0.1679 d2.dn_loss_iou: 0.2256 d3.dn_loss_cls: 0.0943 d3.dn_loss_bbox: 0.1569 d3.dn_loss_iou: 0.2167 d4.dn_loss_cls: 0.0881 d4.dn_loss_bbox: 0.1553 d4.dn_loss_iou: 0.2153 d1.loss_lmm_region: 0.1347 loss_lmm_image: 0.8040 +2024/11/08 15:56:04 - mmengine - INFO - Iter(train) [119800/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 8:44:09 time: 1.0351 data_time: 0.0184 memory: 24389 grad_norm: 19.3439 loss: 9.3127 loss_cls: 0.2731 loss_bbox: 0.1511 loss_iou: 0.2438 d0.loss_cls: 0.2995 d0.loss_bbox: 0.1636 d0.loss_iou: 0.2629 d1.loss_cls: 0.2903 d1.loss_bbox: 0.1520 d1.loss_iou: 0.2456 d2.loss_cls: 0.2807 d2.loss_bbox: 0.1524 d2.loss_iou: 0.2451 d3.loss_cls: 0.2780 d3.loss_bbox: 0.1498 d3.loss_iou: 0.2431 d4.loss_cls: 0.2742 d4.loss_bbox: 0.1509 d4.loss_iou: 0.2436 enc_loss_cls: 0.3202 enc_loss_bbox: 0.1760 enc_loss_iou: 0.2825 dn_loss_cls: 0.0783 dn_loss_bbox: 0.1874 dn_loss_iou: 0.2250 d0.dn_loss_cls: 0.1754 d0.dn_loss_bbox: 0.3697 d0.dn_loss_iou: 0.3945 d1.dn_loss_cls: 0.1138 d1.dn_loss_bbox: 0.2214 d1.dn_loss_iou: 0.2600 d2.dn_loss_cls: 0.0957 d2.dn_loss_bbox: 0.1953 d2.dn_loss_iou: 0.2334 d3.dn_loss_cls: 0.0851 d3.dn_loss_bbox: 0.1888 d3.dn_loss_iou: 0.2265 d4.dn_loss_cls: 0.0791 d4.dn_loss_bbox: 0.1873 d4.dn_loss_iou: 0.2248 d1.loss_lmm_region: 0.1346 loss_lmm_image: 0.7579 +2024/11/08 15:57:48 - mmengine - INFO - Iter(train) [119900/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 8:42:24 time: 1.0452 data_time: 0.0184 memory: 23470 grad_norm: 21.8364 loss: 8.7652 loss_cls: 0.2754 loss_bbox: 0.1256 loss_iou: 0.2425 d0.loss_cls: 0.3016 d0.loss_bbox: 0.1477 d0.loss_iou: 0.2670 d1.loss_cls: 0.2957 d1.loss_bbox: 0.1326 d1.loss_iou: 0.2482 d2.loss_cls: 0.2855 d2.loss_bbox: 0.1251 d2.loss_iou: 0.2426 d3.loss_cls: 0.2800 d3.loss_bbox: 0.1268 d3.loss_iou: 0.2429 d4.loss_cls: 0.2780 d4.loss_bbox: 0.1262 d4.loss_iou: 0.2419 enc_loss_cls: 0.3145 enc_loss_bbox: 0.1551 enc_loss_iou: 0.2848 dn_loss_cls: 0.0720 dn_loss_bbox: 0.1479 dn_loss_iou: 0.2116 d0.dn_loss_cls: 0.1537 d0.dn_loss_bbox: 0.2937 d0.dn_loss_iou: 0.3563 d1.dn_loss_cls: 0.1008 d1.dn_loss_bbox: 0.1791 d1.dn_loss_iou: 0.2424 d2.dn_loss_cls: 0.0854 d2.dn_loss_bbox: 0.1592 d2.dn_loss_iou: 0.2200 d3.dn_loss_cls: 0.0770 d3.dn_loss_bbox: 0.1492 d3.dn_loss_iou: 0.2132 d4.dn_loss_cls: 0.0721 d4.dn_loss_bbox: 0.1480 d4.dn_loss_iou: 0.2115 d1.loss_lmm_region: 0.1278 loss_lmm_image: 0.8045 +2024/11/08 15:59:31 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/08 15:59:31 - mmengine - INFO - Iter(train) [120000/150000] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 8:40:40 time: 1.0237 data_time: 0.0184 memory: 23799 grad_norm: 20.8780 loss: 9.7368 loss_cls: 0.2815 loss_bbox: 0.1546 loss_iou: 0.2568 d0.loss_cls: 0.3144 d0.loss_bbox: 0.1772 d0.loss_iou: 0.2770 d1.loss_cls: 0.2954 d1.loss_bbox: 0.1671 d1.loss_iou: 0.2669 d2.loss_cls: 0.2883 d2.loss_bbox: 0.1582 d2.loss_iou: 0.2598 d3.loss_cls: 0.2857 d3.loss_bbox: 0.1560 d3.loss_iou: 0.2579 d4.loss_cls: 0.2810 d4.loss_bbox: 0.1546 d4.loss_iou: 0.2582 enc_loss_cls: 0.3313 enc_loss_bbox: 0.1866 enc_loss_iou: 0.2889 dn_loss_cls: 0.0957 dn_loss_bbox: 0.1962 dn_loss_iou: 0.2296 d0.dn_loss_cls: 0.1881 d0.dn_loss_bbox: 0.3727 d0.dn_loss_iou: 0.3941 d1.dn_loss_cls: 0.1300 d1.dn_loss_bbox: 0.2326 d1.dn_loss_iou: 0.2676 d2.dn_loss_cls: 0.1111 d2.dn_loss_bbox: 0.2056 d2.dn_loss_iou: 0.2395 d3.dn_loss_cls: 0.1012 d3.dn_loss_bbox: 0.1976 d3.dn_loss_iou: 0.2314 d4.dn_loss_cls: 0.0964 d4.dn_loss_bbox: 0.1963 d4.dn_loss_iou: 0.2296 d1.loss_lmm_region: 0.1436 loss_lmm_image: 0.7802 +2024/11/08 15:59:31 - mmengine - INFO - Saving checkpoint at 120000 iterations +2024/11/08 16:08:37 - mmengine - INFO - Iter(val) [100/602] eta: 0:17:58 time: 2.2542 data_time: 0.0016 memory: 5362 +2024/11/08 16:12:53 - mmengine - INFO - Iter(val) [200/602] eta: 0:15:46 time: 2.6905 data_time: 0.0016 memory: 5371 +2024/11/08 16:17:59 - mmengine - INFO - Iter(val) [300/602] eta: 0:13:02 time: 3.1448 data_time: 0.0017 memory: 5366 +2024/11/08 16:23:53 - mmengine - INFO - Iter(val) [400/602] eta: 0:09:31 time: 3.6793 data_time: 0.0017 memory: 5371 +2024/11/08 16:30:34 - mmengine - INFO - Iter(val) [500/602] eta: 0:05:12 time: 4.1369 data_time: 0.0018 memory: 5357 +2024/11/08 16:37:59 - mmengine - INFO - Iter(val) [600/602] eta: 0:00:06 time: 4.5589 data_time: 0.0018 memory: 5371 +2024/11/08 16:44:42 - mmengine - INFO - +=== +64 classes had less than 10000 detections! + Outputting 10000 detections for each class will improve AP further. + === +2024/11/08 16:47:04 - mmengine - INFO - mAP_copypaste: {'AP': 0.4371064672528805, 'AP50': 0.546892790746397, 'AP75': 0.4637633809408591, 'APs': 0.39451474062637004, 'APm': 0.5625227075921128, 'APl': 0.634604358574006, 'APr': 0.3448795570031624, 'APc': 0.38939888488926344, 'APf': 0.49601392132210353} +2024/11/08 16:47:29 - mmengine - INFO - Iter(val) [602/602] lvis_fixed_ap/AP: 0.4371 lvis_fixed_ap/AP50: 0.5469 lvis_fixed_ap/AP75: 0.4638 lvis_fixed_ap/APs: 0.3945 lvis_fixed_ap/APm: 0.5625 lvis_fixed_ap/APl: 0.6346 lvis_fixed_ap/APr: 0.3449 lvis_fixed_ap/APc: 0.3894 lvis_fixed_ap/APf: 0.4960 data_time: 0.0020 time: 3.3011 +2024/11/08 16:49:11 - mmengine - INFO - Iter(train) [120100/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:41:15 time: 1.0206 data_time: 0.0186 memory: 23909 grad_norm: 20.8815 loss: 9.5388 loss_cls: 0.2809 loss_bbox: 0.1443 loss_iou: 0.2739 d0.loss_cls: 0.3099 d0.loss_bbox: 0.1564 d0.loss_iou: 0.2835 d1.loss_cls: 0.2919 d1.loss_bbox: 0.1500 d1.loss_iou: 0.2771 d2.loss_cls: 0.2860 d2.loss_bbox: 0.1477 d2.loss_iou: 0.2773 d3.loss_cls: 0.2847 d3.loss_bbox: 0.1459 d3.loss_iou: 0.2754 d4.loss_cls: 0.2816 d4.loss_bbox: 0.1436 d4.loss_iou: 0.2746 enc_loss_cls: 0.3266 enc_loss_bbox: 0.1695 enc_loss_iou: 0.3016 dn_loss_cls: 0.0887 dn_loss_bbox: 0.1771 dn_loss_iou: 0.2323 d0.dn_loss_cls: 0.1717 d0.dn_loss_bbox: 0.3467 d0.dn_loss_iou: 0.3820 d1.dn_loss_cls: 0.1185 d1.dn_loss_bbox: 0.2140 d1.dn_loss_iou: 0.2645 d2.dn_loss_cls: 0.1050 d2.dn_loss_bbox: 0.1857 d2.dn_loss_iou: 0.2411 d3.dn_loss_cls: 0.0950 d3.dn_loss_bbox: 0.1787 d3.dn_loss_iou: 0.2338 d4.dn_loss_cls: 0.0896 d4.dn_loss_bbox: 0.1772 d4.dn_loss_iou: 0.2324 d1.loss_lmm_region: 0.1281 loss_lmm_image: 0.7946 +2024/11/08 16:50:53 - mmengine - INFO - Iter(train) [120200/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:39:30 time: 1.0260 data_time: 0.0186 memory: 23199 grad_norm: 17.7850 loss: 10.5896 loss_cls: 0.3604 loss_bbox: 0.1704 loss_iou: 0.3110 d0.loss_cls: 0.4126 d0.loss_bbox: 0.1886 d0.loss_iou: 0.3348 d1.loss_cls: 0.3807 d1.loss_bbox: 0.1784 d1.loss_iou: 0.3207 d2.loss_cls: 0.3705 d2.loss_bbox: 0.1747 d2.loss_iou: 0.3151 d3.loss_cls: 0.3677 d3.loss_bbox: 0.1720 d3.loss_iou: 0.3121 d4.loss_cls: 0.3588 d4.loss_bbox: 0.1720 d4.loss_iou: 0.3117 enc_loss_cls: 0.4306 enc_loss_bbox: 0.1979 enc_loss_iou: 0.3533 dn_loss_cls: 0.0854 dn_loss_bbox: 0.1789 dn_loss_iou: 0.2313 d0.dn_loss_cls: 0.1750 d0.dn_loss_bbox: 0.3240 d0.dn_loss_iou: 0.3777 d1.dn_loss_cls: 0.1199 d1.dn_loss_bbox: 0.2079 d1.dn_loss_iou: 0.2640 d2.dn_loss_cls: 0.1024 d2.dn_loss_bbox: 0.1870 d2.dn_loss_iou: 0.2406 d3.dn_loss_cls: 0.0916 d3.dn_loss_bbox: 0.1805 d3.dn_loss_iou: 0.2325 d4.dn_loss_cls: 0.0855 d4.dn_loss_bbox: 0.1788 d4.dn_loss_iou: 0.2313 d1.loss_lmm_region: 0.1311 loss_lmm_image: 0.7701 +2024/11/08 16:52:36 - mmengine - INFO - Iter(train) [120300/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:37:45 time: 1.0259 data_time: 0.0186 memory: 23776 grad_norm: 19.4822 loss: 9.8765 loss_cls: 0.3016 loss_bbox: 0.1547 loss_iou: 0.3067 d0.loss_cls: 0.3378 d0.loss_bbox: 0.1634 d0.loss_iou: 0.3262 d1.loss_cls: 0.3191 d1.loss_bbox: 0.1576 d1.loss_iou: 0.3161 d2.loss_cls: 0.3108 d2.loss_bbox: 0.1530 d2.loss_iou: 0.3082 d3.loss_cls: 0.3060 d3.loss_bbox: 0.1544 d3.loss_iou: 0.3082 d4.loss_cls: 0.3050 d4.loss_bbox: 0.1542 d4.loss_iou: 0.3060 enc_loss_cls: 0.3547 enc_loss_bbox: 0.1775 enc_loss_iou: 0.3473 dn_loss_cls: 0.0702 dn_loss_bbox: 0.1765 dn_loss_iou: 0.2499 d0.dn_loss_cls: 0.1553 d0.dn_loss_bbox: 0.3104 d0.dn_loss_iou: 0.3992 d1.dn_loss_cls: 0.1002 d1.dn_loss_bbox: 0.2083 d1.dn_loss_iou: 0.2846 d2.dn_loss_cls: 0.0830 d2.dn_loss_bbox: 0.1836 d2.dn_loss_iou: 0.2598 d3.dn_loss_cls: 0.0751 d3.dn_loss_bbox: 0.1774 d3.dn_loss_iou: 0.2517 d4.dn_loss_cls: 0.0707 d4.dn_loss_bbox: 0.1765 d4.dn_loss_iou: 0.2501 d1.loss_lmm_region: 0.1262 loss_lmm_image: 0.6994 +2024/11/08 16:54:18 - mmengine - INFO - Iter(train) [120400/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:35:59 time: 1.0226 data_time: 0.0186 memory: 23685 grad_norm: 20.5646 loss: 9.9099 loss_cls: 0.2952 loss_bbox: 0.1583 loss_iou: 0.2657 d0.loss_cls: 0.3300 d0.loss_bbox: 0.1727 d0.loss_iou: 0.2947 d1.loss_cls: 0.3091 d1.loss_bbox: 0.1695 d1.loss_iou: 0.2847 d2.loss_cls: 0.3004 d2.loss_bbox: 0.1634 d2.loss_iou: 0.2763 d3.loss_cls: 0.2993 d3.loss_bbox: 0.1573 d3.loss_iou: 0.2685 d4.loss_cls: 0.2953 d4.loss_bbox: 0.1578 d4.loss_iou: 0.2650 enc_loss_cls: 0.3508 enc_loss_bbox: 0.1897 enc_loss_iou: 0.3125 dn_loss_cls: 0.0869 dn_loss_bbox: 0.2041 dn_loss_iou: 0.2447 d0.dn_loss_cls: 0.1720 d0.dn_loss_bbox: 0.3498 d0.dn_loss_iou: 0.3931 d1.dn_loss_cls: 0.1193 d1.dn_loss_bbox: 0.2291 d1.dn_loss_iou: 0.2739 d2.dn_loss_cls: 0.1017 d2.dn_loss_bbox: 0.2077 d2.dn_loss_iou: 0.2503 d3.dn_loss_cls: 0.0948 d3.dn_loss_bbox: 0.2061 d3.dn_loss_iou: 0.2463 d4.dn_loss_cls: 0.0881 d4.dn_loss_bbox: 0.2043 d4.dn_loss_iou: 0.2447 d1.loss_lmm_region: 0.1230 loss_lmm_image: 0.7537 +2024/11/08 16:56:01 - mmengine - INFO - Iter(train) [120500/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:34:14 time: 1.0328 data_time: 0.0189 memory: 23137 grad_norm: 21.2830 loss: 10.2185 loss_cls: 0.3178 loss_bbox: 0.1657 loss_iou: 0.3065 d0.loss_cls: 0.3689 d0.loss_bbox: 0.1750 d0.loss_iou: 0.3169 d1.loss_cls: 0.3489 d1.loss_bbox: 0.1672 d1.loss_iou: 0.3079 d2.loss_cls: 0.3362 d2.loss_bbox: 0.1623 d2.loss_iou: 0.3051 d3.loss_cls: 0.3230 d3.loss_bbox: 0.1678 d3.loss_iou: 0.3077 d4.loss_cls: 0.3211 d4.loss_bbox: 0.1640 d4.loss_iou: 0.3059 enc_loss_cls: 0.3782 enc_loss_bbox: 0.1903 enc_loss_iou: 0.3340 dn_loss_cls: 0.0923 dn_loss_bbox: 0.1772 dn_loss_iou: 0.2290 d0.dn_loss_cls: 0.1838 d0.dn_loss_bbox: 0.3284 d0.dn_loss_iou: 0.3714 d1.dn_loss_cls: 0.1258 d1.dn_loss_bbox: 0.2121 d1.dn_loss_iou: 0.2614 d2.dn_loss_cls: 0.1080 d2.dn_loss_bbox: 0.1833 d2.dn_loss_iou: 0.2361 d3.dn_loss_cls: 0.0978 d3.dn_loss_bbox: 0.1778 d3.dn_loss_iou: 0.2303 d4.dn_loss_cls: 0.0936 d4.dn_loss_bbox: 0.1772 d4.dn_loss_iou: 0.2290 d1.loss_lmm_region: 0.1312 loss_lmm_image: 0.8023 +2024/11/08 16:57:44 - mmengine - INFO - Iter(train) [120600/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:32:29 time: 1.0173 data_time: 0.0188 memory: 24274 grad_norm: 24.1701 loss: 9.4753 loss_cls: 0.2739 loss_bbox: 0.1441 loss_iou: 0.2537 d0.loss_cls: 0.3134 d0.loss_bbox: 0.1566 d0.loss_iou: 0.2695 d1.loss_cls: 0.2938 d1.loss_bbox: 0.1510 d1.loss_iou: 0.2611 d2.loss_cls: 0.2857 d2.loss_bbox: 0.1481 d2.loss_iou: 0.2586 d3.loss_cls: 0.2774 d3.loss_bbox: 0.1452 d3.loss_iou: 0.2553 d4.loss_cls: 0.2751 d4.loss_bbox: 0.1445 d4.loss_iou: 0.2548 enc_loss_cls: 0.3230 enc_loss_bbox: 0.1705 enc_loss_iou: 0.2931 dn_loss_cls: 0.1405 dn_loss_bbox: 0.1605 dn_loss_iou: 0.2288 d0.dn_loss_cls: 0.1963 d0.dn_loss_bbox: 0.3053 d0.dn_loss_iou: 0.3684 d1.dn_loss_cls: 0.1560 d1.dn_loss_bbox: 0.1911 d1.dn_loss_iou: 0.2596 d2.dn_loss_cls: 0.1510 d2.dn_loss_bbox: 0.1704 d2.dn_loss_iou: 0.2382 d3.dn_loss_cls: 0.1403 d3.dn_loss_bbox: 0.1619 d3.dn_loss_iou: 0.2301 d4.dn_loss_cls: 0.1445 d4.dn_loss_bbox: 0.1606 d4.dn_loss_iou: 0.2289 d1.loss_lmm_region: 0.1294 loss_lmm_image: 0.7651 +2024/11/08 16:59:27 - mmengine - INFO - Iter(train) [120700/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:30:44 time: 1.0282 data_time: 0.0186 memory: 23980 grad_norm: 20.6791 loss: 9.7385 loss_cls: 0.2588 loss_bbox: 0.1603 loss_iou: 0.2703 d0.loss_cls: 0.2910 d0.loss_bbox: 0.1764 d0.loss_iou: 0.2879 d1.loss_cls: 0.2757 d1.loss_bbox: 0.1732 d1.loss_iou: 0.2785 d2.loss_cls: 0.2686 d2.loss_bbox: 0.1656 d2.loss_iou: 0.2740 d3.loss_cls: 0.2595 d3.loss_bbox: 0.1668 d3.loss_iou: 0.2729 d4.loss_cls: 0.2609 d4.loss_bbox: 0.1593 d4.loss_iou: 0.2697 enc_loss_cls: 0.3107 enc_loss_bbox: 0.1864 enc_loss_iou: 0.3041 dn_loss_cls: 0.0745 dn_loss_bbox: 0.2146 dn_loss_iou: 0.2524 d0.dn_loss_cls: 0.1743 d0.dn_loss_bbox: 0.3752 d0.dn_loss_iou: 0.4057 d1.dn_loss_cls: 0.1089 d1.dn_loss_bbox: 0.2442 d1.dn_loss_iou: 0.2843 d2.dn_loss_cls: 0.0925 d2.dn_loss_bbox: 0.2208 d2.dn_loss_iou: 0.2604 d3.dn_loss_cls: 0.0804 d3.dn_loss_bbox: 0.2154 d3.dn_loss_iou: 0.2537 d4.dn_loss_cls: 0.0741 d4.dn_loss_bbox: 0.2146 d4.dn_loss_iou: 0.2523 d1.loss_lmm_region: 0.1386 loss_lmm_image: 0.7309 +2024/11/08 17:01:10 - mmengine - INFO - Iter(train) [120800/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:28:59 time: 1.0244 data_time: 0.0186 memory: 23458 grad_norm: 21.0170 loss: 9.7961 loss_cls: 0.3058 loss_bbox: 0.1637 loss_iou: 0.3102 d0.loss_cls: 0.3386 d0.loss_bbox: 0.1755 d0.loss_iou: 0.3192 d1.loss_cls: 0.3184 d1.loss_bbox: 0.1744 d1.loss_iou: 0.3147 d2.loss_cls: 0.3155 d2.loss_bbox: 0.1633 d2.loss_iou: 0.3105 d3.loss_cls: 0.3131 d3.loss_bbox: 0.1610 d3.loss_iou: 0.3072 d4.loss_cls: 0.3063 d4.loss_bbox: 0.1625 d4.loss_iou: 0.3088 enc_loss_cls: 0.3504 enc_loss_bbox: 0.1846 enc_loss_iou: 0.3383 dn_loss_cls: 0.0725 dn_loss_bbox: 0.1696 dn_loss_iou: 0.2252 d0.dn_loss_cls: 0.1459 d0.dn_loss_bbox: 0.3139 d0.dn_loss_iou: 0.3726 d1.dn_loss_cls: 0.1015 d1.dn_loss_bbox: 0.1986 d1.dn_loss_iou: 0.2551 d2.dn_loss_cls: 0.0845 d2.dn_loss_bbox: 0.1758 d2.dn_loss_iou: 0.2328 d3.dn_loss_cls: 0.0776 d3.dn_loss_bbox: 0.1700 d3.dn_loss_iou: 0.2262 d4.dn_loss_cls: 0.0737 d4.dn_loss_bbox: 0.1695 d4.dn_loss_iou: 0.2252 d1.loss_lmm_region: 0.1179 loss_lmm_image: 0.7461 +2024/11/08 17:02:53 - mmengine - INFO - Iter(train) [120900/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:27:14 time: 1.0241 data_time: 0.0186 memory: 23687 grad_norm: 19.7713 loss: 8.6195 loss_cls: 0.2525 loss_bbox: 0.1327 loss_iou: 0.2517 d0.loss_cls: 0.2840 d0.loss_bbox: 0.1449 d0.loss_iou: 0.2654 d1.loss_cls: 0.2738 d1.loss_bbox: 0.1357 d1.loss_iou: 0.2548 d2.loss_cls: 0.2609 d2.loss_bbox: 0.1327 d2.loss_iou: 0.2522 d3.loss_cls: 0.2595 d3.loss_bbox: 0.1314 d3.loss_iou: 0.2506 d4.loss_cls: 0.2528 d4.loss_bbox: 0.1327 d4.loss_iou: 0.2501 enc_loss_cls: 0.3027 enc_loss_bbox: 0.1558 enc_loss_iou: 0.2876 dn_loss_cls: 0.0752 dn_loss_bbox: 0.1470 dn_loss_iou: 0.2043 d0.dn_loss_cls: 0.1557 d0.dn_loss_bbox: 0.3007 d0.dn_loss_iou: 0.3460 d1.dn_loss_cls: 0.1027 d1.dn_loss_bbox: 0.1792 d1.dn_loss_iou: 0.2349 d2.dn_loss_cls: 0.0858 d2.dn_loss_bbox: 0.1554 d2.dn_loss_iou: 0.2125 d3.dn_loss_cls: 0.0787 d3.dn_loss_bbox: 0.1474 d3.dn_loss_iou: 0.2047 d4.dn_loss_cls: 0.0757 d4.dn_loss_bbox: 0.1470 d4.dn_loss_iou: 0.2042 d1.loss_lmm_region: 0.1264 loss_lmm_image: 0.7712 +2024/11/08 17:04:35 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/08 17:04:35 - mmengine - INFO - Iter(train) [121000/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:25:29 time: 1.0227 data_time: 0.0187 memory: 23814 grad_norm: 20.4052 loss: 9.4376 loss_cls: 0.2839 loss_bbox: 0.1493 loss_iou: 0.2544 d0.loss_cls: 0.3170 d0.loss_bbox: 0.1608 d0.loss_iou: 0.2656 d1.loss_cls: 0.3031 d1.loss_bbox: 0.1515 d1.loss_iou: 0.2559 d2.loss_cls: 0.2925 d2.loss_bbox: 0.1484 d2.loss_iou: 0.2553 d3.loss_cls: 0.2884 d3.loss_bbox: 0.1478 d3.loss_iou: 0.2547 d4.loss_cls: 0.2826 d4.loss_bbox: 0.1497 d4.loss_iou: 0.2547 enc_loss_cls: 0.3389 enc_loss_bbox: 0.1726 enc_loss_iou: 0.2811 dn_loss_cls: 0.0814 dn_loss_bbox: 0.1847 dn_loss_iou: 0.2354 d0.dn_loss_cls: 0.1686 d0.dn_loss_bbox: 0.3342 d0.dn_loss_iou: 0.3831 d1.dn_loss_cls: 0.1113 d1.dn_loss_bbox: 0.2158 d1.dn_loss_iou: 0.2676 d2.dn_loss_cls: 0.0947 d2.dn_loss_bbox: 0.1935 d2.dn_loss_iou: 0.2445 d3.dn_loss_cls: 0.0872 d3.dn_loss_bbox: 0.1860 d3.dn_loss_iou: 0.2370 d4.dn_loss_cls: 0.0819 d4.dn_loss_bbox: 0.1848 d4.dn_loss_iou: 0.2355 d1.loss_lmm_region: 0.1456 loss_lmm_image: 0.7563 +2024/11/08 17:06:17 - mmengine - INFO - Iter(train) [121100/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:23:44 time: 1.0206 data_time: 0.0187 memory: 23564 grad_norm: 21.2793 loss: 10.0966 loss_cls: 0.3287 loss_bbox: 0.1633 loss_iou: 0.2938 d0.loss_cls: 0.3744 d0.loss_bbox: 0.1777 d0.loss_iou: 0.3114 d1.loss_cls: 0.3542 d1.loss_bbox: 0.1690 d1.loss_iou: 0.3015 d2.loss_cls: 0.3462 d2.loss_bbox: 0.1637 d2.loss_iou: 0.2949 d3.loss_cls: 0.3380 d3.loss_bbox: 0.1629 d3.loss_iou: 0.2939 d4.loss_cls: 0.3295 d4.loss_bbox: 0.1633 d4.loss_iou: 0.2945 enc_loss_cls: 0.3957 enc_loss_bbox: 0.1887 enc_loss_iou: 0.3288 dn_loss_cls: 0.1005 dn_loss_bbox: 0.1761 dn_loss_iou: 0.2226 d0.dn_loss_cls: 0.1890 d0.dn_loss_bbox: 0.3044 d0.dn_loss_iou: 0.3556 d1.dn_loss_cls: 0.1375 d1.dn_loss_bbox: 0.2031 d1.dn_loss_iou: 0.2522 d2.dn_loss_cls: 0.1168 d2.dn_loss_bbox: 0.1808 d2.dn_loss_iou: 0.2295 d3.dn_loss_cls: 0.1042 d3.dn_loss_bbox: 0.1768 d3.dn_loss_iou: 0.2236 d4.dn_loss_cls: 0.1021 d4.dn_loss_bbox: 0.1761 d4.dn_loss_iou: 0.2225 d1.loss_lmm_region: 0.1217 loss_lmm_image: 0.7272 +2024/11/08 17:07:59 - mmengine - INFO - Iter(train) [121200/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:21:59 time: 1.0284 data_time: 0.0188 memory: 23360 grad_norm: 20.6886 loss: 8.6578 loss_cls: 0.2575 loss_bbox: 0.1297 loss_iou: 0.2490 d0.loss_cls: 0.2739 d0.loss_bbox: 0.1472 d0.loss_iou: 0.2764 d1.loss_cls: 0.2686 d1.loss_bbox: 0.1371 d1.loss_iou: 0.2626 d2.loss_cls: 0.2595 d2.loss_bbox: 0.1316 d2.loss_iou: 0.2575 d3.loss_cls: 0.2633 d3.loss_bbox: 0.1292 d3.loss_iou: 0.2484 d4.loss_cls: 0.2588 d4.loss_bbox: 0.1296 d4.loss_iou: 0.2487 enc_loss_cls: 0.2932 enc_loss_bbox: 0.1557 enc_loss_iou: 0.2930 dn_loss_cls: 0.0749 dn_loss_bbox: 0.1560 dn_loss_iou: 0.2229 d0.dn_loss_cls: 0.1517 d0.dn_loss_bbox: 0.2870 d0.dn_loss_iou: 0.3608 d1.dn_loss_cls: 0.1036 d1.dn_loss_bbox: 0.1829 d1.dn_loss_iou: 0.2515 d2.dn_loss_cls: 0.0880 d2.dn_loss_bbox: 0.1621 d2.dn_loss_iou: 0.2303 d3.dn_loss_cls: 0.0820 d3.dn_loss_bbox: 0.1577 d3.dn_loss_iou: 0.2243 d4.dn_loss_cls: 0.0749 d4.dn_loss_bbox: 0.1561 d4.dn_loss_iou: 0.2228 d1.loss_lmm_region: 0.1126 loss_lmm_image: 0.6854 +2024/11/08 17:09:41 - mmengine - INFO - Iter(train) [121300/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:20:14 time: 1.0107 data_time: 0.0185 memory: 23675 grad_norm: 20.8381 loss: 8.2495 loss_cls: 0.2482 loss_bbox: 0.1178 loss_iou: 0.2205 d0.loss_cls: 0.2731 d0.loss_bbox: 0.1390 d0.loss_iou: 0.2420 d1.loss_cls: 0.2586 d1.loss_bbox: 0.1266 d1.loss_iou: 0.2296 d2.loss_cls: 0.2534 d2.loss_bbox: 0.1226 d2.loss_iou: 0.2225 d3.loss_cls: 0.2522 d3.loss_bbox: 0.1210 d3.loss_iou: 0.2222 d4.loss_cls: 0.2504 d4.loss_bbox: 0.1174 d4.loss_iou: 0.2205 enc_loss_cls: 0.2893 enc_loss_bbox: 0.1504 enc_loss_iou: 0.2636 dn_loss_cls: 0.0720 dn_loss_bbox: 0.1423 dn_loss_iou: 0.2106 d0.dn_loss_cls: 0.1562 d0.dn_loss_bbox: 0.2933 d0.dn_loss_iou: 0.3563 d1.dn_loss_cls: 0.1017 d1.dn_loss_bbox: 0.1779 d1.dn_loss_iou: 0.2426 d2.dn_loss_cls: 0.0847 d2.dn_loss_bbox: 0.1527 d2.dn_loss_iou: 0.2190 d3.dn_loss_cls: 0.0761 d3.dn_loss_bbox: 0.1443 d3.dn_loss_iou: 0.2120 d4.dn_loss_cls: 0.0726 d4.dn_loss_bbox: 0.1424 d4.dn_loss_iou: 0.2106 d1.loss_lmm_region: 0.1189 loss_lmm_image: 0.7223 +2024/11/08 17:11:23 - mmengine - INFO - Iter(train) [121400/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:18:28 time: 1.0242 data_time: 0.0186 memory: 23836 grad_norm: 23.5844 loss: 9.2397 loss_cls: 0.2800 loss_bbox: 0.1412 loss_iou: 0.2615 d0.loss_cls: 0.3145 d0.loss_bbox: 0.1590 d0.loss_iou: 0.2818 d1.loss_cls: 0.2952 d1.loss_bbox: 0.1494 d1.loss_iou: 0.2722 d2.loss_cls: 0.2939 d2.loss_bbox: 0.1433 d2.loss_iou: 0.2641 d3.loss_cls: 0.2873 d3.loss_bbox: 0.1419 d3.loss_iou: 0.2617 d4.loss_cls: 0.2828 d4.loss_bbox: 0.1415 d4.loss_iou: 0.2624 enc_loss_cls: 0.3334 enc_loss_bbox: 0.1603 enc_loss_iou: 0.2904 dn_loss_cls: 0.0805 dn_loss_bbox: 0.1710 dn_loss_iou: 0.2285 d0.dn_loss_cls: 0.1642 d0.dn_loss_bbox: 0.3098 d0.dn_loss_iou: 0.3754 d1.dn_loss_cls: 0.1179 d1.dn_loss_bbox: 0.2028 d1.dn_loss_iou: 0.2622 d2.dn_loss_cls: 0.0996 d2.dn_loss_bbox: 0.1799 d2.dn_loss_iou: 0.2376 d3.dn_loss_cls: 0.0881 d3.dn_loss_bbox: 0.1723 d3.dn_loss_iou: 0.2301 d4.dn_loss_cls: 0.0812 d4.dn_loss_bbox: 0.1709 d4.dn_loss_iou: 0.2284 d1.loss_lmm_region: 0.1162 loss_lmm_image: 0.7054 +2024/11/08 17:13:06 - mmengine - INFO - Iter(train) [121500/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:16:43 time: 1.0241 data_time: 0.0183 memory: 24033 grad_norm: 20.1826 loss: 8.5017 loss_cls: 0.2602 loss_bbox: 0.1213 loss_iou: 0.2145 d0.loss_cls: 0.2936 d0.loss_bbox: 0.1315 d0.loss_iou: 0.2289 d1.loss_cls: 0.2740 d1.loss_bbox: 0.1278 d1.loss_iou: 0.2235 d2.loss_cls: 0.2697 d2.loss_bbox: 0.1206 d2.loss_iou: 0.2153 d3.loss_cls: 0.2670 d3.loss_bbox: 0.1202 d3.loss_iou: 0.2130 d4.loss_cls: 0.2630 d4.loss_bbox: 0.1212 d4.loss_iou: 0.2147 enc_loss_cls: 0.3085 enc_loss_bbox: 0.1425 enc_loss_iou: 0.2467 dn_loss_cls: 0.0749 dn_loss_bbox: 0.1670 dn_loss_iou: 0.2106 d0.dn_loss_cls: 0.1487 d0.dn_loss_bbox: 0.3211 d0.dn_loss_iou: 0.3672 d1.dn_loss_cls: 0.0996 d1.dn_loss_bbox: 0.1977 d1.dn_loss_iou: 0.2461 d2.dn_loss_cls: 0.0879 d2.dn_loss_bbox: 0.1763 d2.dn_loss_iou: 0.2222 d3.dn_loss_cls: 0.0795 d3.dn_loss_bbox: 0.1679 d3.dn_loss_iou: 0.2123 d4.dn_loss_cls: 0.0755 d4.dn_loss_bbox: 0.1669 d4.dn_loss_iou: 0.2105 d1.loss_lmm_region: 0.0976 loss_lmm_image: 0.7944 +2024/11/08 17:14:48 - mmengine - INFO - Iter(train) [121600/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:14:58 time: 1.0257 data_time: 0.0187 memory: 23134 grad_norm: 19.3955 loss: 8.9554 loss_cls: 0.2787 loss_bbox: 0.1289 loss_iou: 0.2665 d0.loss_cls: 0.3076 d0.loss_bbox: 0.1425 d0.loss_iou: 0.2879 d1.loss_cls: 0.2951 d1.loss_bbox: 0.1327 d1.loss_iou: 0.2744 d2.loss_cls: 0.2870 d2.loss_bbox: 0.1297 d2.loss_iou: 0.2694 d3.loss_cls: 0.2841 d3.loss_bbox: 0.1282 d3.loss_iou: 0.2668 d4.loss_cls: 0.2789 d4.loss_bbox: 0.1293 d4.loss_iou: 0.2673 enc_loss_cls: 0.3350 enc_loss_bbox: 0.1577 enc_loss_iou: 0.3048 dn_loss_cls: 0.0785 dn_loss_bbox: 0.1438 dn_loss_iou: 0.2248 d0.dn_loss_cls: 0.1669 d0.dn_loss_bbox: 0.2783 d0.dn_loss_iou: 0.3672 d1.dn_loss_cls: 0.1098 d1.dn_loss_bbox: 0.1739 d1.dn_loss_iou: 0.2552 d2.dn_loss_cls: 0.0924 d2.dn_loss_bbox: 0.1514 d2.dn_loss_iou: 0.2343 d3.dn_loss_cls: 0.0843 d3.dn_loss_bbox: 0.1456 d3.dn_loss_iou: 0.2264 d4.dn_loss_cls: 0.0801 d4.dn_loss_bbox: 0.1439 d4.dn_loss_iou: 0.2249 d1.loss_lmm_region: 0.1135 loss_lmm_image: 0.7073 +2024/11/08 17:16:31 - mmengine - INFO - Iter(train) [121700/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:13:13 time: 1.0171 data_time: 0.0187 memory: 23315 grad_norm: 22.5819 loss: 9.4929 loss_cls: 0.3102 loss_bbox: 0.1470 loss_iou: 0.3187 d0.loss_cls: 0.3455 d0.loss_bbox: 0.1518 d0.loss_iou: 0.3303 d1.loss_cls: 0.3298 d1.loss_bbox: 0.1512 d1.loss_iou: 0.3234 d2.loss_cls: 0.3198 d2.loss_bbox: 0.1487 d2.loss_iou: 0.3194 d3.loss_cls: 0.3170 d3.loss_bbox: 0.1479 d3.loss_iou: 0.3192 d4.loss_cls: 0.3100 d4.loss_bbox: 0.1467 d4.loss_iou: 0.3204 enc_loss_cls: 0.3588 enc_loss_bbox: 0.1688 enc_loss_iou: 0.3518 dn_loss_cls: 0.0834 dn_loss_bbox: 0.1363 dn_loss_iou: 0.2108 d0.dn_loss_cls: 0.1624 d0.dn_loss_bbox: 0.2556 d0.dn_loss_iou: 0.3414 d1.dn_loss_cls: 0.1133 d1.dn_loss_bbox: 0.1621 d1.dn_loss_iou: 0.2402 d2.dn_loss_cls: 0.0972 d2.dn_loss_bbox: 0.1422 d2.dn_loss_iou: 0.2184 d3.dn_loss_cls: 0.0902 d3.dn_loss_bbox: 0.1375 d3.dn_loss_iou: 0.2121 d4.dn_loss_cls: 0.0848 d4.dn_loss_bbox: 0.1364 d4.dn_loss_iou: 0.2109 d1.loss_lmm_region: 0.1212 loss_lmm_image: 0.7002 +2024/11/08 17:18:13 - mmengine - INFO - Iter(train) [121800/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:11:28 time: 1.0135 data_time: 0.0187 memory: 22826 grad_norm: 21.9868 loss: 9.6062 loss_cls: 0.2959 loss_bbox: 0.1593 loss_iou: 0.2635 d0.loss_cls: 0.3309 d0.loss_bbox: 0.1751 d0.loss_iou: 0.2850 d1.loss_cls: 0.3169 d1.loss_bbox: 0.1610 d1.loss_iou: 0.2701 d2.loss_cls: 0.3069 d2.loss_bbox: 0.1563 d2.loss_iou: 0.2608 d3.loss_cls: 0.3041 d3.loss_bbox: 0.1562 d3.loss_iou: 0.2625 d4.loss_cls: 0.2956 d4.loss_bbox: 0.1598 d4.loss_iou: 0.2642 enc_loss_cls: 0.3502 enc_loss_bbox: 0.1836 enc_loss_iou: 0.3007 dn_loss_cls: 0.0843 dn_loss_bbox: 0.1762 dn_loss_iou: 0.2252 d0.dn_loss_cls: 0.1670 d0.dn_loss_bbox: 0.3511 d0.dn_loss_iou: 0.3860 d1.dn_loss_cls: 0.1143 d1.dn_loss_bbox: 0.2167 d1.dn_loss_iou: 0.2611 d2.dn_loss_cls: 0.1012 d2.dn_loss_bbox: 0.1835 d2.dn_loss_iou: 0.2339 d3.dn_loss_cls: 0.0903 d3.dn_loss_bbox: 0.1769 d3.dn_loss_iou: 0.2264 d4.dn_loss_cls: 0.0856 d4.dn_loss_bbox: 0.1762 d4.dn_loss_iou: 0.2253 d1.loss_lmm_region: 0.1225 loss_lmm_image: 0.7437 +2024/11/08 17:19:55 - mmengine - INFO - Iter(train) [121900/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:09:43 time: 1.0167 data_time: 0.0185 memory: 23226 grad_norm: 25.0098 loss: 8.4016 loss_cls: 0.2469 loss_bbox: 0.1314 loss_iou: 0.2490 d0.loss_cls: 0.2749 d0.loss_bbox: 0.1479 d0.loss_iou: 0.2637 d1.loss_cls: 0.2588 d1.loss_bbox: 0.1376 d1.loss_iou: 0.2584 d2.loss_cls: 0.2572 d2.loss_bbox: 0.1302 d2.loss_iou: 0.2471 d3.loss_cls: 0.2527 d3.loss_bbox: 0.1319 d3.loss_iou: 0.2489 d4.loss_cls: 0.2476 d4.loss_bbox: 0.1319 d4.loss_iou: 0.2496 enc_loss_cls: 0.2957 enc_loss_bbox: 0.1544 enc_loss_iou: 0.2748 dn_loss_cls: 0.0781 dn_loss_bbox: 0.1405 dn_loss_iou: 0.2095 d0.dn_loss_cls: 0.1471 d0.dn_loss_bbox: 0.2807 d0.dn_loss_iou: 0.3494 d1.dn_loss_cls: 0.0985 d1.dn_loss_bbox: 0.1706 d1.dn_loss_iou: 0.2366 d2.dn_loss_cls: 0.0886 d2.dn_loss_bbox: 0.1495 d2.dn_loss_iou: 0.2170 d3.dn_loss_cls: 0.0806 d3.dn_loss_bbox: 0.1421 d3.dn_loss_iou: 0.2107 d4.dn_loss_cls: 0.0787 d4.dn_loss_bbox: 0.1404 d4.dn_loss_iou: 0.2096 d1.loss_lmm_region: 0.1141 loss_lmm_image: 0.6689 +2024/11/08 17:21:37 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/08 17:21:37 - mmengine - INFO - Iter(train) [122000/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:07:58 time: 1.0178 data_time: 0.0186 memory: 23156 grad_norm: 21.5968 loss: 9.7332 loss_cls: 0.3109 loss_bbox: 0.1519 loss_iou: 0.2780 d0.loss_cls: 0.3416 d0.loss_bbox: 0.1729 d0.loss_iou: 0.2997 d1.loss_cls: 0.3194 d1.loss_bbox: 0.1657 d1.loss_iou: 0.2909 d2.loss_cls: 0.3193 d2.loss_bbox: 0.1542 d2.loss_iou: 0.2788 d3.loss_cls: 0.3120 d3.loss_bbox: 0.1565 d3.loss_iou: 0.2821 d4.loss_cls: 0.3105 d4.loss_bbox: 0.1527 d4.loss_iou: 0.2802 enc_loss_cls: 0.3547 enc_loss_bbox: 0.1874 enc_loss_iou: 0.3208 dn_loss_cls: 0.0799 dn_loss_bbox: 0.1727 dn_loss_iou: 0.2307 d0.dn_loss_cls: 0.1664 d0.dn_loss_bbox: 0.3251 d0.dn_loss_iou: 0.3826 d1.dn_loss_cls: 0.1100 d1.dn_loss_bbox: 0.2087 d1.dn_loss_iou: 0.2663 d2.dn_loss_cls: 0.0910 d2.dn_loss_bbox: 0.1825 d2.dn_loss_iou: 0.2398 d3.dn_loss_cls: 0.0841 d3.dn_loss_bbox: 0.1745 d3.dn_loss_iou: 0.2323 d4.dn_loss_cls: 0.0801 d4.dn_loss_bbox: 0.1727 d4.dn_loss_iou: 0.2308 d1.loss_lmm_region: 0.1266 loss_lmm_image: 0.7360 +2024/11/08 17:23:19 - mmengine - INFO - Iter(train) [122100/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:06:13 time: 1.0214 data_time: 0.0185 memory: 22682 grad_norm: 22.4902 loss: 9.4261 loss_cls: 0.2742 loss_bbox: 0.1556 loss_iou: 0.2790 d0.loss_cls: 0.2994 d0.loss_bbox: 0.1740 d0.loss_iou: 0.2970 d1.loss_cls: 0.2882 d1.loss_bbox: 0.1631 d1.loss_iou: 0.2860 d2.loss_cls: 0.2835 d2.loss_bbox: 0.1571 d2.loss_iou: 0.2830 d3.loss_cls: 0.2780 d3.loss_bbox: 0.1540 d3.loss_iou: 0.2800 d4.loss_cls: 0.2770 d4.loss_bbox: 0.1553 d4.loss_iou: 0.2769 enc_loss_cls: 0.3131 enc_loss_bbox: 0.1850 enc_loss_iou: 0.3144 dn_loss_cls: 0.0793 dn_loss_bbox: 0.1640 dn_loss_iou: 0.2354 d0.dn_loss_cls: 0.1595 d0.dn_loss_bbox: 0.3154 d0.dn_loss_iou: 0.3837 d1.dn_loss_cls: 0.1084 d1.dn_loss_bbox: 0.2018 d1.dn_loss_iou: 0.2671 d2.dn_loss_cls: 0.0908 d2.dn_loss_bbox: 0.1740 d2.dn_loss_iou: 0.2435 d3.dn_loss_cls: 0.0828 d3.dn_loss_bbox: 0.1657 d3.dn_loss_iou: 0.2366 d4.dn_loss_cls: 0.0806 d4.dn_loss_bbox: 0.1640 d4.dn_loss_iou: 0.2353 d1.loss_lmm_region: 0.1271 loss_lmm_image: 0.7375 +2024/11/08 17:25:01 - mmengine - INFO - Iter(train) [122200/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:04:28 time: 1.0195 data_time: 0.0185 memory: 24109 grad_norm: 19.6490 loss: 8.5059 loss_cls: 0.2768 loss_bbox: 0.1246 loss_iou: 0.2469 d0.loss_cls: 0.3147 d0.loss_bbox: 0.1332 d0.loss_iou: 0.2597 d1.loss_cls: 0.2960 d1.loss_bbox: 0.1293 d1.loss_iou: 0.2498 d2.loss_cls: 0.2877 d2.loss_bbox: 0.1255 d2.loss_iou: 0.2497 d3.loss_cls: 0.2863 d3.loss_bbox: 0.1237 d3.loss_iou: 0.2459 d4.loss_cls: 0.2784 d4.loss_bbox: 0.1235 d4.loss_iou: 0.2468 enc_loss_cls: 0.3241 enc_loss_bbox: 0.1506 enc_loss_iou: 0.2790 dn_loss_cls: 0.0629 dn_loss_bbox: 0.1509 dn_loss_iou: 0.2041 d0.dn_loss_cls: 0.1430 d0.dn_loss_bbox: 0.2844 d0.dn_loss_iou: 0.3340 d1.dn_loss_cls: 0.0923 d1.dn_loss_bbox: 0.1783 d1.dn_loss_iou: 0.2327 d2.dn_loss_cls: 0.0775 d2.dn_loss_bbox: 0.1563 d2.dn_loss_iou: 0.2113 d3.dn_loss_cls: 0.0676 d3.dn_loss_bbox: 0.1520 d3.dn_loss_iou: 0.2053 d4.dn_loss_cls: 0.0635 d4.dn_loss_bbox: 0.1509 d4.dn_loss_iou: 0.2043 d1.loss_lmm_region: 0.1105 loss_lmm_image: 0.6717 +2024/11/08 17:26:43 - mmengine - INFO - Iter(train) [122300/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:02:42 time: 1.0061 data_time: 0.0186 memory: 23270 grad_norm: 20.2970 loss: 9.4278 loss_cls: 0.2956 loss_bbox: 0.1265 loss_iou: 0.2751 d0.loss_cls: 0.3283 d0.loss_bbox: 0.1405 d0.loss_iou: 0.2915 d1.loss_cls: 0.3082 d1.loss_bbox: 0.1368 d1.loss_iou: 0.2849 d2.loss_cls: 0.3029 d2.loss_bbox: 0.1286 d2.loss_iou: 0.2775 d3.loss_cls: 0.2990 d3.loss_bbox: 0.1273 d3.loss_iou: 0.2749 d4.loss_cls: 0.2968 d4.loss_bbox: 0.1265 d4.loss_iou: 0.2754 enc_loss_cls: 0.3441 enc_loss_bbox: 0.1566 enc_loss_iou: 0.3121 dn_loss_cls: 0.0932 dn_loss_bbox: 0.1492 dn_loss_iou: 0.2402 d0.dn_loss_cls: 0.1781 d0.dn_loss_bbox: 0.3056 d0.dn_loss_iou: 0.3965 d1.dn_loss_cls: 0.1223 d1.dn_loss_bbox: 0.1893 d1.dn_loss_iou: 0.2764 d2.dn_loss_cls: 0.1093 d2.dn_loss_bbox: 0.1594 d2.dn_loss_iou: 0.2497 d3.dn_loss_cls: 0.0998 d3.dn_loss_bbox: 0.1513 d3.dn_loss_iou: 0.2423 d4.dn_loss_cls: 0.0955 d4.dn_loss_bbox: 0.1491 d4.dn_loss_iou: 0.2402 d1.loss_lmm_region: 0.0985 loss_lmm_image: 0.7724 +2024/11/08 17:28:25 - mmengine - INFO - Iter(train) [122400/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:00:57 time: 1.0157 data_time: 0.0185 memory: 23274 grad_norm: 20.1885 loss: 9.0194 loss_cls: 0.2702 loss_bbox: 0.1293 loss_iou: 0.2725 d0.loss_cls: 0.3154 d0.loss_bbox: 0.1376 d0.loss_iou: 0.2810 d1.loss_cls: 0.2908 d1.loss_bbox: 0.1337 d1.loss_iou: 0.2787 d2.loss_cls: 0.2810 d2.loss_bbox: 0.1320 d2.loss_iou: 0.2740 d3.loss_cls: 0.2775 d3.loss_bbox: 0.1295 d3.loss_iou: 0.2718 d4.loss_cls: 0.2704 d4.loss_bbox: 0.1304 d4.loss_iou: 0.2728 enc_loss_cls: 0.3368 enc_loss_bbox: 0.1560 enc_loss_iou: 0.3051 dn_loss_cls: 0.0840 dn_loss_bbox: 0.1537 dn_loss_iou: 0.2200 d0.dn_loss_cls: 0.1732 d0.dn_loss_bbox: 0.3043 d0.dn_loss_iou: 0.3697 d1.dn_loss_cls: 0.1196 d1.dn_loss_bbox: 0.1896 d1.dn_loss_iou: 0.2538 d2.dn_loss_cls: 0.1028 d2.dn_loss_bbox: 0.1642 d2.dn_loss_iou: 0.2301 d3.dn_loss_cls: 0.0911 d3.dn_loss_bbox: 0.1558 d3.dn_loss_iou: 0.2219 d4.dn_loss_cls: 0.0846 d4.dn_loss_bbox: 0.1538 d4.dn_loss_iou: 0.2202 d1.loss_lmm_region: 0.1197 loss_lmm_image: 0.6609 +2024/11/08 17:30:07 - mmengine - INFO - Iter(train) [122500/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:59:12 time: 1.0223 data_time: 0.0187 memory: 23572 grad_norm: 18.9510 loss: 9.1177 loss_cls: 0.2810 loss_bbox: 0.1435 loss_iou: 0.2592 d0.loss_cls: 0.3059 d0.loss_bbox: 0.1550 d0.loss_iou: 0.2747 d1.loss_cls: 0.2941 d1.loss_bbox: 0.1465 d1.loss_iou: 0.2648 d2.loss_cls: 0.2890 d2.loss_bbox: 0.1425 d2.loss_iou: 0.2604 d3.loss_cls: 0.2888 d3.loss_bbox: 0.1430 d3.loss_iou: 0.2597 d4.loss_cls: 0.2786 d4.loss_bbox: 0.1482 d4.loss_iou: 0.2615 enc_loss_cls: 0.3151 enc_loss_bbox: 0.1659 enc_loss_iou: 0.2899 dn_loss_cls: 0.0929 dn_loss_bbox: 0.1527 dn_loss_iou: 0.2225 d0.dn_loss_cls: 0.1804 d0.dn_loss_bbox: 0.3085 d0.dn_loss_iou: 0.3724 d1.dn_loss_cls: 0.1263 d1.dn_loss_bbox: 0.1870 d1.dn_loss_iou: 0.2541 d2.dn_loss_cls: 0.1084 d2.dn_loss_bbox: 0.1643 d2.dn_loss_iou: 0.2317 d3.dn_loss_cls: 0.0988 d3.dn_loss_bbox: 0.1546 d3.dn_loss_iou: 0.2240 d4.dn_loss_cls: 0.0939 d4.dn_loss_bbox: 0.1526 d4.dn_loss_iou: 0.2224 d1.loss_lmm_region: 0.1207 loss_lmm_image: 0.6821 +2024/11/08 17:31:49 - mmengine - INFO - Iter(train) [122600/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:57:27 time: 1.0228 data_time: 0.0186 memory: 23635 grad_norm: 19.0014 loss: 9.7141 loss_cls: 0.2854 loss_bbox: 0.1643 loss_iou: 0.2871 d0.loss_cls: 0.3207 d0.loss_bbox: 0.1775 d0.loss_iou: 0.2997 d1.loss_cls: 0.3018 d1.loss_bbox: 0.1707 d1.loss_iou: 0.2952 d2.loss_cls: 0.2950 d2.loss_bbox: 0.1664 d2.loss_iou: 0.2865 d3.loss_cls: 0.2922 d3.loss_bbox: 0.1614 d3.loss_iou: 0.2879 d4.loss_cls: 0.2872 d4.loss_bbox: 0.1628 d4.loss_iou: 0.2872 enc_loss_cls: 0.3431 enc_loss_bbox: 0.1865 enc_loss_iou: 0.3120 dn_loss_cls: 0.0777 dn_loss_bbox: 0.1806 dn_loss_iou: 0.2367 d0.dn_loss_cls: 0.1664 d0.dn_loss_bbox: 0.3334 d0.dn_loss_iou: 0.3806 d1.dn_loss_cls: 0.1098 d1.dn_loss_bbox: 0.2176 d1.dn_loss_iou: 0.2702 d2.dn_loss_cls: 0.0905 d2.dn_loss_bbox: 0.1935 d2.dn_loss_iou: 0.2462 d3.dn_loss_cls: 0.0810 d3.dn_loss_bbox: 0.1830 d3.dn_loss_iou: 0.2385 d4.dn_loss_cls: 0.0777 d4.dn_loss_bbox: 0.1808 d4.dn_loss_iou: 0.2368 d1.loss_lmm_region: 0.1196 loss_lmm_image: 0.7229 +2024/11/08 17:33:31 - mmengine - INFO - Iter(train) [122700/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:55:42 time: 1.0197 data_time: 0.0186 memory: 23003 grad_norm: 21.4233 loss: 9.0931 loss_cls: 0.2895 loss_bbox: 0.1585 loss_iou: 0.2671 d0.loss_cls: 0.3211 d0.loss_bbox: 0.1694 d0.loss_iou: 0.2821 d1.loss_cls: 0.3014 d1.loss_bbox: 0.1676 d1.loss_iou: 0.2775 d2.loss_cls: 0.2927 d2.loss_bbox: 0.1601 d2.loss_iou: 0.2710 d3.loss_cls: 0.2906 d3.loss_bbox: 0.1599 d3.loss_iou: 0.2688 d4.loss_cls: 0.2902 d4.loss_bbox: 0.1572 d4.loss_iou: 0.2667 enc_loss_cls: 0.3427 enc_loss_bbox: 0.1734 enc_loss_iou: 0.2972 dn_loss_cls: 0.0666 dn_loss_bbox: 0.1558 dn_loss_iou: 0.2104 d0.dn_loss_cls: 0.1542 d0.dn_loss_bbox: 0.3125 d0.dn_loss_iou: 0.3541 d1.dn_loss_cls: 0.0983 d1.dn_loss_bbox: 0.1885 d1.dn_loss_iou: 0.2409 d2.dn_loss_cls: 0.0793 d2.dn_loss_bbox: 0.1643 d2.dn_loss_iou: 0.2188 d3.dn_loss_cls: 0.0703 d3.dn_loss_bbox: 0.1567 d3.dn_loss_iou: 0.2115 d4.dn_loss_cls: 0.0676 d4.dn_loss_bbox: 0.1558 d4.dn_loss_iou: 0.2103 d1.loss_lmm_region: 0.1027 loss_lmm_image: 0.6697 +2024/11/08 17:35:13 - mmengine - INFO - Iter(train) [122800/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:53:57 time: 1.0192 data_time: 0.0186 memory: 24522 grad_norm: 20.1092 loss: 10.0804 loss_cls: 0.3090 loss_bbox: 0.1675 loss_iou: 0.3159 d0.loss_cls: 0.3390 d0.loss_bbox: 0.1846 d0.loss_iou: 0.3368 d1.loss_cls: 0.3233 d1.loss_bbox: 0.1758 d1.loss_iou: 0.3247 d2.loss_cls: 0.3193 d2.loss_bbox: 0.1698 d2.loss_iou: 0.3152 d3.loss_cls: 0.3148 d3.loss_bbox: 0.1647 d3.loss_iou: 0.3117 d4.loss_cls: 0.3106 d4.loss_bbox: 0.1678 d4.loss_iou: 0.3162 enc_loss_cls: 0.3548 enc_loss_bbox: 0.2016 enc_loss_iou: 0.3515 dn_loss_cls: 0.0653 dn_loss_bbox: 0.1799 dn_loss_iou: 0.2497 d0.dn_loss_cls: 0.1692 d0.dn_loss_bbox: 0.3233 d0.dn_loss_iou: 0.3913 d1.dn_loss_cls: 0.1051 d1.dn_loss_bbox: 0.2145 d1.dn_loss_iou: 0.2803 d2.dn_loss_cls: 0.0823 d2.dn_loss_bbox: 0.1902 d2.dn_loss_iou: 0.2573 d3.dn_loss_cls: 0.0715 d3.dn_loss_bbox: 0.1812 d3.dn_loss_iou: 0.2508 d4.dn_loss_cls: 0.0669 d4.dn_loss_bbox: 0.1800 d4.dn_loss_iou: 0.2498 d1.loss_lmm_region: 0.1466 loss_lmm_image: 0.6506 +2024/11/08 17:36:55 - mmengine - INFO - Iter(train) [122900/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:52:11 time: 1.0147 data_time: 0.0186 memory: 23750 grad_norm: 19.2676 loss: 9.5655 loss_cls: 0.2708 loss_bbox: 0.1655 loss_iou: 0.2840 d0.loss_cls: 0.3056 d0.loss_bbox: 0.1731 d0.loss_iou: 0.2962 d1.loss_cls: 0.2883 d1.loss_bbox: 0.1695 d1.loss_iou: 0.2910 d2.loss_cls: 0.2827 d2.loss_bbox: 0.1649 d2.loss_iou: 0.2843 d3.loss_cls: 0.2773 d3.loss_bbox: 0.1631 d3.loss_iou: 0.2823 d4.loss_cls: 0.2726 d4.loss_bbox: 0.1655 d4.loss_iou: 0.2848 enc_loss_cls: 0.3199 enc_loss_bbox: 0.1896 enc_loss_iou: 0.3152 dn_loss_cls: 0.0857 dn_loss_bbox: 0.1842 dn_loss_iou: 0.2451 d0.dn_loss_cls: 0.1688 d0.dn_loss_bbox: 0.3312 d0.dn_loss_iou: 0.3886 d1.dn_loss_cls: 0.1153 d1.dn_loss_bbox: 0.2109 d1.dn_loss_iou: 0.2727 d2.dn_loss_cls: 0.1020 d2.dn_loss_bbox: 0.1883 d2.dn_loss_iou: 0.2510 d3.dn_loss_cls: 0.0938 d3.dn_loss_bbox: 0.1848 d3.dn_loss_iou: 0.2461 d4.dn_loss_cls: 0.0868 d4.dn_loss_bbox: 0.1841 d4.dn_loss_iou: 0.2451 d1.loss_lmm_region: 0.1084 loss_lmm_image: 0.6266 +2024/11/08 17:38:37 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/08 17:38:37 - mmengine - INFO - Iter(train) [123000/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:50:27 time: 1.0274 data_time: 0.0186 memory: 23404 grad_norm: 19.2009 loss: 8.5325 loss_cls: 0.3076 loss_bbox: 0.1188 loss_iou: 0.2274 d0.loss_cls: 0.3495 d0.loss_bbox: 0.1286 d0.loss_iou: 0.2429 d1.loss_cls: 0.3294 d1.loss_bbox: 0.1228 d1.loss_iou: 0.2336 d2.loss_cls: 0.3245 d2.loss_bbox: 0.1192 d2.loss_iou: 0.2296 d3.loss_cls: 0.3189 d3.loss_bbox: 0.1164 d3.loss_iou: 0.2266 d4.loss_cls: 0.3099 d4.loss_bbox: 0.1180 d4.loss_iou: 0.2267 enc_loss_cls: 0.3725 enc_loss_bbox: 0.1410 enc_loss_iou: 0.2568 dn_loss_cls: 0.0815 dn_loss_bbox: 0.1388 dn_loss_iou: 0.1797 d0.dn_loss_cls: 0.1562 d0.dn_loss_bbox: 0.2838 d0.dn_loss_iou: 0.3130 d1.dn_loss_cls: 0.1044 d1.dn_loss_bbox: 0.1688 d1.dn_loss_iou: 0.2075 d2.dn_loss_cls: 0.0912 d2.dn_loss_bbox: 0.1459 d2.dn_loss_iou: 0.1872 d3.dn_loss_cls: 0.0835 d3.dn_loss_bbox: 0.1394 d3.dn_loss_iou: 0.1810 d4.dn_loss_cls: 0.0813 d4.dn_loss_bbox: 0.1388 d4.dn_loss_iou: 0.1798 d1.loss_lmm_region: 0.1171 loss_lmm_image: 0.7328 +2024/11/08 17:40:20 - mmengine - INFO - Iter(train) [123100/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:48:42 time: 1.0330 data_time: 0.0187 memory: 24278 grad_norm: 28.6196 loss: 9.9164 loss_cls: 0.3104 loss_bbox: 0.1573 loss_iou: 0.2744 d0.loss_cls: 0.3488 d0.loss_bbox: 0.1677 d0.loss_iou: 0.2872 d1.loss_cls: 0.3400 d1.loss_bbox: 0.1539 d1.loss_iou: 0.2748 d2.loss_cls: 0.3297 d2.loss_bbox: 0.1507 d2.loss_iou: 0.2698 d3.loss_cls: 0.3185 d3.loss_bbox: 0.1563 d3.loss_iou: 0.2727 d4.loss_cls: 0.3118 d4.loss_bbox: 0.1564 d4.loss_iou: 0.2745 enc_loss_cls: 0.3642 enc_loss_bbox: 0.1730 enc_loss_iou: 0.3023 dn_loss_cls: 0.1201 dn_loss_bbox: 0.1731 dn_loss_iou: 0.2190 d0.dn_loss_cls: 0.2155 d0.dn_loss_bbox: 0.3302 d0.dn_loss_iou: 0.3616 d1.dn_loss_cls: 0.1716 d1.dn_loss_bbox: 0.2094 d1.dn_loss_iou: 0.2510 d2.dn_loss_cls: 0.1363 d2.dn_loss_bbox: 0.1837 d2.dn_loss_iou: 0.2272 d3.dn_loss_cls: 0.1272 d3.dn_loss_bbox: 0.1748 d3.dn_loss_iou: 0.2207 d4.dn_loss_cls: 0.1221 d4.dn_loss_bbox: 0.1730 d4.dn_loss_iou: 0.2190 d1.loss_lmm_region: 0.1265 loss_lmm_image: 0.7599 +2024/11/08 17:42:03 - mmengine - INFO - Iter(train) [123200/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:46:57 time: 1.0338 data_time: 0.0188 memory: 23192 grad_norm: 21.5316 loss: 9.5353 loss_cls: 0.2939 loss_bbox: 0.1579 loss_iou: 0.2601 d0.loss_cls: 0.3269 d0.loss_bbox: 0.1726 d0.loss_iou: 0.2690 d1.loss_cls: 0.3110 d1.loss_bbox: 0.1677 d1.loss_iou: 0.2639 d2.loss_cls: 0.3032 d2.loss_bbox: 0.1612 d2.loss_iou: 0.2630 d3.loss_cls: 0.2965 d3.loss_bbox: 0.1612 d3.loss_iou: 0.2606 d4.loss_cls: 0.2876 d4.loss_bbox: 0.1647 d4.loss_iou: 0.2646 enc_loss_cls: 0.3431 enc_loss_bbox: 0.1805 enc_loss_iou: 0.2843 dn_loss_cls: 0.0936 dn_loss_bbox: 0.1766 dn_loss_iou: 0.2284 d0.dn_loss_cls: 0.1760 d0.dn_loss_bbox: 0.3250 d0.dn_loss_iou: 0.3759 d1.dn_loss_cls: 0.1246 d1.dn_loss_bbox: 0.2018 d1.dn_loss_iou: 0.2565 d2.dn_loss_cls: 0.1069 d2.dn_loss_bbox: 0.1813 d2.dn_loss_iou: 0.2356 d3.dn_loss_cls: 0.0992 d3.dn_loss_bbox: 0.1765 d3.dn_loss_iou: 0.2296 d4.dn_loss_cls: 0.0938 d4.dn_loss_bbox: 0.1766 d4.dn_loss_iou: 0.2283 d1.loss_lmm_region: 0.1302 loss_lmm_image: 0.7255 +2024/11/08 17:43:45 - mmengine - INFO - Iter(train) [123300/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:45:12 time: 1.0103 data_time: 0.0187 memory: 22766 grad_norm: 20.5475 loss: 10.2293 loss_cls: 0.3259 loss_bbox: 0.1701 loss_iou: 0.2994 d0.loss_cls: 0.3510 d0.loss_bbox: 0.1887 d0.loss_iou: 0.3205 d1.loss_cls: 0.3350 d1.loss_bbox: 0.1766 d1.loss_iou: 0.3113 d2.loss_cls: 0.3313 d2.loss_bbox: 0.1677 d2.loss_iou: 0.3015 d3.loss_cls: 0.3295 d3.loss_bbox: 0.1717 d3.loss_iou: 0.3007 d4.loss_cls: 0.3297 d4.loss_bbox: 0.1695 d4.loss_iou: 0.2980 enc_loss_cls: 0.3768 enc_loss_bbox: 0.1945 enc_loss_iou: 0.3357 dn_loss_cls: 0.0947 dn_loss_bbox: 0.1852 dn_loss_iou: 0.2380 d0.dn_loss_cls: 0.1896 d0.dn_loss_bbox: 0.3346 d0.dn_loss_iou: 0.3835 d1.dn_loss_cls: 0.1327 d1.dn_loss_bbox: 0.2147 d1.dn_loss_iou: 0.2674 d2.dn_loss_cls: 0.1116 d2.dn_loss_bbox: 0.1926 d2.dn_loss_iou: 0.2453 d3.dn_loss_cls: 0.1005 d3.dn_loss_bbox: 0.1858 d3.dn_loss_iou: 0.2390 d4.dn_loss_cls: 0.0957 d4.dn_loss_bbox: 0.1853 d4.dn_loss_iou: 0.2380 d1.loss_lmm_region: 0.1121 loss_lmm_image: 0.6980 +2024/11/08 17:45:27 - mmengine - INFO - Iter(train) [123400/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:43:27 time: 1.0221 data_time: 0.0187 memory: 24026 grad_norm: 19.8052 loss: 8.6602 loss_cls: 0.2478 loss_bbox: 0.1403 loss_iou: 0.2426 d0.loss_cls: 0.2753 d0.loss_bbox: 0.1531 d0.loss_iou: 0.2608 d1.loss_cls: 0.2633 d1.loss_bbox: 0.1447 d1.loss_iou: 0.2490 d2.loss_cls: 0.2495 d2.loss_bbox: 0.1513 d2.loss_iou: 0.2477 d3.loss_cls: 0.2499 d3.loss_bbox: 0.1425 d3.loss_iou: 0.2439 d4.loss_cls: 0.2468 d4.loss_bbox: 0.1417 d4.loss_iou: 0.2433 enc_loss_cls: 0.2881 enc_loss_bbox: 0.1574 enc_loss_iou: 0.2751 dn_loss_cls: 0.0693 dn_loss_bbox: 0.1609 dn_loss_iou: 0.2242 d0.dn_loss_cls: 0.1542 d0.dn_loss_bbox: 0.3144 d0.dn_loss_iou: 0.3778 d1.dn_loss_cls: 0.0982 d1.dn_loss_bbox: 0.1913 d1.dn_loss_iou: 0.2549 d2.dn_loss_cls: 0.0812 d2.dn_loss_bbox: 0.1683 d2.dn_loss_iou: 0.2320 d3.dn_loss_cls: 0.0746 d3.dn_loss_bbox: 0.1616 d3.dn_loss_iou: 0.2253 d4.dn_loss_cls: 0.0692 d4.dn_loss_bbox: 0.1608 d4.dn_loss_iou: 0.2243 d1.loss_lmm_region: 0.1152 loss_lmm_image: 0.6882 +2024/11/08 17:47:09 - mmengine - INFO - Iter(train) [123500/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:41:42 time: 1.0221 data_time: 0.0185 memory: 23707 grad_norm: 17.4847 loss: 8.1473 loss_cls: 0.2426 loss_bbox: 0.1264 loss_iou: 0.2135 d0.loss_cls: 0.2703 d0.loss_bbox: 0.1345 d0.loss_iou: 0.2240 d1.loss_cls: 0.2506 d1.loss_bbox: 0.1335 d1.loss_iou: 0.2205 d2.loss_cls: 0.2507 d2.loss_bbox: 0.1306 d2.loss_iou: 0.2171 d3.loss_cls: 0.2459 d3.loss_bbox: 0.1281 d3.loss_iou: 0.2159 d4.loss_cls: 0.2420 d4.loss_bbox: 0.1268 d4.loss_iou: 0.2128 enc_loss_cls: 0.2883 enc_loss_bbox: 0.1429 enc_loss_iou: 0.2367 dn_loss_cls: 0.0683 dn_loss_bbox: 0.1600 dn_loss_iou: 0.1998 d0.dn_loss_cls: 0.1483 d0.dn_loss_bbox: 0.3192 d0.dn_loss_iou: 0.3465 d1.dn_loss_cls: 0.0956 d1.dn_loss_bbox: 0.1894 d1.dn_loss_iou: 0.2307 d2.dn_loss_cls: 0.0816 d2.dn_loss_bbox: 0.1658 d2.dn_loss_iou: 0.2081 d3.dn_loss_cls: 0.0732 d3.dn_loss_bbox: 0.1614 d3.dn_loss_iou: 0.2014 d4.dn_loss_cls: 0.0685 d4.dn_loss_bbox: 0.1600 d4.dn_loss_iou: 0.2000 d1.loss_lmm_region: 0.1101 loss_lmm_image: 0.7059 +2024/11/08 17:48:52 - mmengine - INFO - Iter(train) [123600/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:39:57 time: 1.0336 data_time: 0.0187 memory: 23042 grad_norm: 21.5838 loss: 8.7138 loss_cls: 0.2508 loss_bbox: 0.1192 loss_iou: 0.2485 d0.loss_cls: 0.2809 d0.loss_bbox: 0.1392 d0.loss_iou: 0.2683 d1.loss_cls: 0.2678 d1.loss_bbox: 0.1269 d1.loss_iou: 0.2551 d2.loss_cls: 0.2621 d2.loss_bbox: 0.1200 d2.loss_iou: 0.2472 d3.loss_cls: 0.2545 d3.loss_bbox: 0.1227 d3.loss_iou: 0.2486 d4.loss_cls: 0.2511 d4.loss_bbox: 0.1208 d4.loss_iou: 0.2492 enc_loss_cls: 0.2930 enc_loss_bbox: 0.1486 enc_loss_iou: 0.2889 dn_loss_cls: 0.0723 dn_loss_bbox: 0.1654 dn_loss_iou: 0.2316 d0.dn_loss_cls: 0.1562 d0.dn_loss_bbox: 0.3050 d0.dn_loss_iou: 0.3801 d1.dn_loss_cls: 0.1018 d1.dn_loss_bbox: 0.1945 d1.dn_loss_iou: 0.2641 d2.dn_loss_cls: 0.0862 d2.dn_loss_bbox: 0.1715 d2.dn_loss_iou: 0.2393 d3.dn_loss_cls: 0.0766 d3.dn_loss_bbox: 0.1660 d3.dn_loss_iou: 0.2331 d4.dn_loss_cls: 0.0733 d4.dn_loss_bbox: 0.1655 d4.dn_loss_iou: 0.2316 d1.loss_lmm_region: 0.1194 loss_lmm_image: 0.7170 +2024/11/08 17:50:35 - mmengine - INFO - Iter(train) [123700/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:38:12 time: 1.0232 data_time: 0.0187 memory: 23807 grad_norm: 25.3062 loss: 9.3869 loss_cls: 0.3218 loss_bbox: 0.1324 loss_iou: 0.2755 d0.loss_cls: 0.3616 d0.loss_bbox: 0.1489 d0.loss_iou: 0.2988 d1.loss_cls: 0.3347 d1.loss_bbox: 0.1438 d1.loss_iou: 0.2887 d2.loss_cls: 0.3289 d2.loss_bbox: 0.1368 d2.loss_iou: 0.2799 d3.loss_cls: 0.3284 d3.loss_bbox: 0.1316 d3.loss_iou: 0.2747 d4.loss_cls: 0.3213 d4.loss_bbox: 0.1327 d4.loss_iou: 0.2768 enc_loss_cls: 0.3734 enc_loss_bbox: 0.1633 enc_loss_iou: 0.3182 dn_loss_cls: 0.0866 dn_loss_bbox: 0.1497 dn_loss_iou: 0.2118 d0.dn_loss_cls: 0.1754 d0.dn_loss_bbox: 0.2791 d0.dn_loss_iou: 0.3536 d1.dn_loss_cls: 0.1205 d1.dn_loss_bbox: 0.1772 d1.dn_loss_iou: 0.2421 d2.dn_loss_cls: 0.1028 d2.dn_loss_bbox: 0.1563 d2.dn_loss_iou: 0.2191 d3.dn_loss_cls: 0.0934 d3.dn_loss_bbox: 0.1501 d3.dn_loss_iou: 0.2129 d4.dn_loss_cls: 0.0884 d4.dn_loss_bbox: 0.1496 d4.dn_loss_iou: 0.2117 d1.loss_lmm_region: 0.1246 loss_lmm_image: 0.7100 +2024/11/08 17:52:17 - mmengine - INFO - Iter(train) [123800/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:36:27 time: 1.0162 data_time: 0.0186 memory: 22290 grad_norm: 19.6143 loss: 8.6041 loss_cls: 0.2828 loss_bbox: 0.1173 loss_iou: 0.2623 d0.loss_cls: 0.3163 d0.loss_bbox: 0.1364 d0.loss_iou: 0.2961 d1.loss_cls: 0.3017 d1.loss_bbox: 0.1225 d1.loss_iou: 0.2727 d2.loss_cls: 0.2965 d2.loss_bbox: 0.1188 d2.loss_iou: 0.2670 d3.loss_cls: 0.2892 d3.loss_bbox: 0.1175 d3.loss_iou: 0.2653 d4.loss_cls: 0.2838 d4.loss_bbox: 0.1175 d4.loss_iou: 0.2625 enc_loss_cls: 0.3339 enc_loss_bbox: 0.1501 enc_loss_iou: 0.3060 dn_loss_cls: 0.0628 dn_loss_bbox: 0.1331 dn_loss_iou: 0.2039 d0.dn_loss_cls: 0.1414 d0.dn_loss_bbox: 0.2601 d0.dn_loss_iou: 0.3428 d1.dn_loss_cls: 0.0874 d1.dn_loss_bbox: 0.1620 d1.dn_loss_iou: 0.2338 d2.dn_loss_cls: 0.0723 d2.dn_loss_bbox: 0.1409 d2.dn_loss_iou: 0.2117 d3.dn_loss_cls: 0.0656 d3.dn_loss_bbox: 0.1345 d3.dn_loss_iou: 0.2048 d4.dn_loss_cls: 0.0632 d4.dn_loss_bbox: 0.1330 d4.dn_loss_iou: 0.2038 d1.loss_lmm_region: 0.1135 loss_lmm_image: 0.7175 +2024/11/08 17:54:00 - mmengine - INFO - Iter(train) [123900/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:34:42 time: 1.0322 data_time: 0.0188 memory: 23759 grad_norm: 19.1116 loss: 8.8771 loss_cls: 0.2777 loss_bbox: 0.1386 loss_iou: 0.2551 d0.loss_cls: 0.3160 d0.loss_bbox: 0.1465 d0.loss_iou: 0.2725 d1.loss_cls: 0.2955 d1.loss_bbox: 0.1416 d1.loss_iou: 0.2627 d2.loss_cls: 0.2882 d2.loss_bbox: 0.1364 d2.loss_iou: 0.2574 d3.loss_cls: 0.2860 d3.loss_bbox: 0.1346 d3.loss_iou: 0.2542 d4.loss_cls: 0.2783 d4.loss_bbox: 0.1373 d4.loss_iou: 0.2547 enc_loss_cls: 0.3287 enc_loss_bbox: 0.1646 enc_loss_iou: 0.2944 dn_loss_cls: 0.0713 dn_loss_bbox: 0.1502 dn_loss_iou: 0.2093 d0.dn_loss_cls: 0.1675 d0.dn_loss_bbox: 0.3070 d0.dn_loss_iou: 0.3645 d1.dn_loss_cls: 0.1108 d1.dn_loss_bbox: 0.1864 d1.dn_loss_iou: 0.2458 d2.dn_loss_cls: 0.0917 d2.dn_loss_bbox: 0.1603 d2.dn_loss_iou: 0.2199 d3.dn_loss_cls: 0.0776 d3.dn_loss_bbox: 0.1510 d3.dn_loss_iou: 0.2109 d4.dn_loss_cls: 0.0716 d4.dn_loss_bbox: 0.1502 d4.dn_loss_iou: 0.2092 d1.loss_lmm_region: 0.1148 loss_lmm_image: 0.6863 +2024/11/08 17:55:43 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/08 17:55:43 - mmengine - INFO - Iter(train) [124000/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:32:57 time: 1.0164 data_time: 0.0186 memory: 23150 grad_norm: 19.1899 loss: 8.0757 loss_cls: 0.2668 loss_bbox: 0.1185 loss_iou: 0.1996 d0.loss_cls: 0.3040 d0.loss_bbox: 0.1254 d0.loss_iou: 0.2159 d1.loss_cls: 0.2864 d1.loss_bbox: 0.1193 d1.loss_iou: 0.2049 d2.loss_cls: 0.2800 d2.loss_bbox: 0.1168 d2.loss_iou: 0.2001 d3.loss_cls: 0.2734 d3.loss_bbox: 0.1169 d3.loss_iou: 0.1987 d4.loss_cls: 0.2688 d4.loss_bbox: 0.1176 d4.loss_iou: 0.1983 enc_loss_cls: 0.3185 enc_loss_bbox: 0.1373 enc_loss_iou: 0.2356 dn_loss_cls: 0.0806 dn_loss_bbox: 0.1485 dn_loss_iou: 0.1788 d0.dn_loss_cls: 0.1625 d0.dn_loss_bbox: 0.2895 d0.dn_loss_iou: 0.3171 d1.dn_loss_cls: 0.1084 d1.dn_loss_bbox: 0.1780 d1.dn_loss_iou: 0.2089 d2.dn_loss_cls: 0.0955 d2.dn_loss_bbox: 0.1596 d2.dn_loss_iou: 0.1885 d3.dn_loss_cls: 0.0849 d3.dn_loss_bbox: 0.1498 d3.dn_loss_iou: 0.1803 d4.dn_loss_cls: 0.0813 d4.dn_loss_bbox: 0.1486 d4.dn_loss_iou: 0.1787 d1.loss_lmm_region: 0.1141 loss_lmm_image: 0.7191 +2024/11/08 17:57:25 - mmengine - INFO - Iter(train) [124100/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:31:12 time: 1.0121 data_time: 0.0186 memory: 23345 grad_norm: 23.1397 loss: 8.8863 loss_cls: 0.2866 loss_bbox: 0.1333 loss_iou: 0.2373 d0.loss_cls: 0.3040 d0.loss_bbox: 0.1434 d0.loss_iou: 0.2536 d1.loss_cls: 0.2957 d1.loss_bbox: 0.1347 d1.loss_iou: 0.2440 d2.loss_cls: 0.2947 d2.loss_bbox: 0.1317 d2.loss_iou: 0.2374 d3.loss_cls: 0.2901 d3.loss_bbox: 0.1327 d3.loss_iou: 0.2360 d4.loss_cls: 0.2869 d4.loss_bbox: 0.1337 d4.loss_iou: 0.2386 enc_loss_cls: 0.3268 enc_loss_bbox: 0.1586 enc_loss_iou: 0.2741 dn_loss_cls: 0.0708 dn_loss_bbox: 0.1666 dn_loss_iou: 0.2177 d0.dn_loss_cls: 0.1532 d0.dn_loss_bbox: 0.3368 d0.dn_loss_iou: 0.3721 d1.dn_loss_cls: 0.0985 d1.dn_loss_bbox: 0.2075 d1.dn_loss_iou: 0.2535 d2.dn_loss_cls: 0.0842 d2.dn_loss_bbox: 0.1780 d2.dn_loss_iou: 0.2282 d3.dn_loss_cls: 0.0757 d3.dn_loss_bbox: 0.1683 d3.dn_loss_iou: 0.2194 d4.dn_loss_cls: 0.0713 d4.dn_loss_bbox: 0.1666 d4.dn_loss_iou: 0.2177 d1.loss_lmm_region: 0.1006 loss_lmm_image: 0.7256 +2024/11/08 17:59:07 - mmengine - INFO - Iter(train) [124200/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:29:27 time: 1.0182 data_time: 0.0185 memory: 23231 grad_norm: 19.2014 loss: 8.7494 loss_cls: 0.2762 loss_bbox: 0.1342 loss_iou: 0.2717 d0.loss_cls: 0.3197 d0.loss_bbox: 0.1414 d0.loss_iou: 0.2907 d1.loss_cls: 0.3038 d1.loss_bbox: 0.1313 d1.loss_iou: 0.2742 d2.loss_cls: 0.2889 d2.loss_bbox: 0.1342 d2.loss_iou: 0.2732 d3.loss_cls: 0.2838 d3.loss_bbox: 0.1325 d3.loss_iou: 0.2718 d4.loss_cls: 0.2763 d4.loss_bbox: 0.1339 d4.loss_iou: 0.2713 enc_loss_cls: 0.3441 enc_loss_bbox: 0.1531 enc_loss_iou: 0.3088 dn_loss_cls: 0.0664 dn_loss_bbox: 0.1330 dn_loss_iou: 0.2080 d0.dn_loss_cls: 0.1435 d0.dn_loss_bbox: 0.2671 d0.dn_loss_iou: 0.3464 d1.dn_loss_cls: 0.0926 d1.dn_loss_bbox: 0.1637 d1.dn_loss_iou: 0.2370 d2.dn_loss_cls: 0.0784 d2.dn_loss_bbox: 0.1405 d2.dn_loss_iou: 0.2143 d3.dn_loss_cls: 0.0710 d3.dn_loss_bbox: 0.1345 d3.dn_loss_iou: 0.2094 d4.dn_loss_cls: 0.0673 d4.dn_loss_bbox: 0.1332 d4.dn_loss_iou: 0.2081 d1.loss_lmm_region: 0.1037 loss_lmm_image: 0.7161 +2024/11/08 18:00:50 - mmengine - INFO - Iter(train) [124300/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:27:42 time: 1.0332 data_time: 0.0187 memory: 22893 grad_norm: 25.5503 loss: 8.0511 loss_cls: 0.2479 loss_bbox: 0.1145 loss_iou: 0.2188 d0.loss_cls: 0.2777 d0.loss_bbox: 0.1289 d0.loss_iou: 0.2424 d1.loss_cls: 0.2698 d1.loss_bbox: 0.1159 d1.loss_iou: 0.2252 d2.loss_cls: 0.2596 d2.loss_bbox: 0.1150 d2.loss_iou: 0.2221 d3.loss_cls: 0.2536 d3.loss_bbox: 0.1150 d3.loss_iou: 0.2193 d4.loss_cls: 0.2499 d4.loss_bbox: 0.1133 d4.loss_iou: 0.2192 enc_loss_cls: 0.2918 enc_loss_bbox: 0.1419 enc_loss_iou: 0.2587 dn_loss_cls: 0.0686 dn_loss_bbox: 0.1509 dn_loss_iou: 0.1952 d0.dn_loss_cls: 0.1398 d0.dn_loss_bbox: 0.2739 d0.dn_loss_iou: 0.3240 d1.dn_loss_cls: 0.0949 d1.dn_loss_bbox: 0.1773 d1.dn_loss_iou: 0.2260 d2.dn_loss_cls: 0.0786 d2.dn_loss_bbox: 0.1582 d2.dn_loss_iou: 0.2046 d3.dn_loss_cls: 0.0712 d3.dn_loss_bbox: 0.1514 d3.dn_loss_iou: 0.1967 d4.dn_loss_cls: 0.0669 d4.dn_loss_bbox: 0.1508 d4.dn_loss_iou: 0.1951 d1.loss_lmm_region: 0.0974 loss_lmm_image: 0.7292 +2024/11/08 18:02:33 - mmengine - INFO - Iter(train) [124400/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:25:57 time: 1.0289 data_time: 0.0186 memory: 24354 grad_norm: 20.5746 loss: 9.7271 loss_cls: 0.3048 loss_bbox: 0.1584 loss_iou: 0.3188 d0.loss_cls: 0.3421 d0.loss_bbox: 0.1697 d0.loss_iou: 0.3348 d1.loss_cls: 0.3242 d1.loss_bbox: 0.1608 d1.loss_iou: 0.3217 d2.loss_cls: 0.3157 d2.loss_bbox: 0.1545 d2.loss_iou: 0.3180 d3.loss_cls: 0.3099 d3.loss_bbox: 0.1565 d3.loss_iou: 0.3183 d4.loss_cls: 0.3057 d4.loss_bbox: 0.1581 d4.loss_iou: 0.3182 enc_loss_cls: 0.3512 enc_loss_bbox: 0.1885 enc_loss_iou: 0.3593 dn_loss_cls: 0.0747 dn_loss_bbox: 0.1572 dn_loss_iou: 0.2329 d0.dn_loss_cls: 0.1615 d0.dn_loss_bbox: 0.2858 d0.dn_loss_iou: 0.3708 d1.dn_loss_cls: 0.1072 d1.dn_loss_bbox: 0.1870 d1.dn_loss_iou: 0.2638 d2.dn_loss_cls: 0.0890 d2.dn_loss_bbox: 0.1651 d2.dn_loss_iou: 0.2401 d3.dn_loss_cls: 0.0809 d3.dn_loss_bbox: 0.1581 d3.dn_loss_iou: 0.2338 d4.dn_loss_cls: 0.0760 d4.dn_loss_bbox: 0.1571 d4.dn_loss_iou: 0.2329 d1.loss_lmm_region: 0.1104 loss_lmm_image: 0.6535 +2024/11/08 18:04:14 - mmengine - INFO - Iter(train) [124500/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:24:12 time: 1.0190 data_time: 0.0185 memory: 24205 grad_norm: inf loss: 8.8737 loss_cls: 0.3045 loss_bbox: 0.1282 loss_iou: 0.2630 d0.loss_cls: 0.3378 d0.loss_bbox: 0.1455 d0.loss_iou: 0.2891 d1.loss_cls: 0.3265 d1.loss_bbox: 0.1359 d1.loss_iou: 0.2685 d2.loss_cls: 0.3175 d2.loss_bbox: 0.1328 d2.loss_iou: 0.2651 d3.loss_cls: 0.3111 d3.loss_bbox: 0.1307 d3.loss_iou: 0.2641 d4.loss_cls: 0.3041 d4.loss_bbox: 0.1297 d4.loss_iou: 0.2640 enc_loss_cls: 0.3536 enc_loss_bbox: 0.1561 enc_loss_iou: 0.3055 dn_loss_cls: 0.0747 dn_loss_bbox: 0.1315 dn_loss_iou: 0.2065 d0.dn_loss_cls: 0.1550 d0.dn_loss_bbox: 0.2544 d0.dn_loss_iou: 0.3422 d1.dn_loss_cls: 0.1069 d1.dn_loss_bbox: 0.1619 d1.dn_loss_iou: 0.2376 d2.dn_loss_cls: 0.0897 d2.dn_loss_bbox: 0.1403 d2.dn_loss_iou: 0.2151 d3.dn_loss_cls: 0.0809 d3.dn_loss_bbox: 0.1329 d3.dn_loss_iou: 0.2084 d4.dn_loss_cls: 0.0760 d4.dn_loss_bbox: 0.1316 d4.dn_loss_iou: 0.2064 d1.loss_lmm_region: 0.1095 loss_lmm_image: 0.6787 +2024/11/08 18:05:57 - mmengine - INFO - Iter(train) [124600/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:22:27 time: 1.0287 data_time: 0.0186 memory: 23557 grad_norm: 18.7990 loss: 8.2505 loss_cls: 0.2652 loss_bbox: 0.1248 loss_iou: 0.2554 d0.loss_cls: 0.2969 d0.loss_bbox: 0.1361 d0.loss_iou: 0.2707 d1.loss_cls: 0.2747 d1.loss_bbox: 0.1320 d1.loss_iou: 0.2627 d2.loss_cls: 0.2758 d2.loss_bbox: 0.1251 d2.loss_iou: 0.2570 d3.loss_cls: 0.2693 d3.loss_bbox: 0.1257 d3.loss_iou: 0.2580 d4.loss_cls: 0.2650 d4.loss_bbox: 0.1250 d4.loss_iou: 0.2569 enc_loss_cls: 0.3103 enc_loss_bbox: 0.1493 enc_loss_iou: 0.2973 dn_loss_cls: 0.0679 dn_loss_bbox: 0.1206 dn_loss_iou: 0.1979 d0.dn_loss_cls: 0.1441 d0.dn_loss_bbox: 0.2295 d0.dn_loss_iou: 0.3283 d1.dn_loss_cls: 0.0937 d1.dn_loss_bbox: 0.1406 d1.dn_loss_iou: 0.2251 d2.dn_loss_cls: 0.0789 d2.dn_loss_bbox: 0.1234 d2.dn_loss_iou: 0.2048 d3.dn_loss_cls: 0.0717 d3.dn_loss_bbox: 0.1212 d3.dn_loss_iou: 0.1990 d4.dn_loss_cls: 0.0683 d4.dn_loss_bbox: 0.1206 d4.dn_loss_iou: 0.1979 d1.loss_lmm_region: 0.0940 loss_lmm_image: 0.6899 +2024/11/08 18:07:39 - mmengine - INFO - Iter(train) [124700/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:20:42 time: 1.0238 data_time: 0.0186 memory: 23560 grad_norm: 20.6206 loss: 10.3818 loss_cls: 0.3281 loss_bbox: 0.1645 loss_iou: 0.2876 d0.loss_cls: 0.3556 d0.loss_bbox: 0.1781 d0.loss_iou: 0.3052 d1.loss_cls: 0.3373 d1.loss_bbox: 0.1731 d1.loss_iou: 0.2961 d2.loss_cls: 0.3325 d2.loss_bbox: 0.1703 d2.loss_iou: 0.2923 d3.loss_cls: 0.3359 d3.loss_bbox: 0.1640 d3.loss_iou: 0.2886 d4.loss_cls: 0.3308 d4.loss_bbox: 0.1645 d4.loss_iou: 0.2876 enc_loss_cls: 0.3748 enc_loss_bbox: 0.1884 enc_loss_iou: 0.3249 dn_loss_cls: 0.1206 dn_loss_bbox: 0.1891 dn_loss_iou: 0.2452 d0.dn_loss_cls: 0.2070 d0.dn_loss_bbox: 0.3500 d0.dn_loss_iou: 0.3995 d1.dn_loss_cls: 0.1502 d1.dn_loss_bbox: 0.2277 d1.dn_loss_iou: 0.2794 d2.dn_loss_cls: 0.1350 d2.dn_loss_bbox: 0.1970 d2.dn_loss_iou: 0.2539 d3.dn_loss_cls: 0.1270 d3.dn_loss_bbox: 0.1903 d3.dn_loss_iou: 0.2467 d4.dn_loss_cls: 0.1213 d4.dn_loss_bbox: 0.1893 d4.dn_loss_iou: 0.2452 d1.loss_lmm_region: 0.1435 loss_lmm_image: 0.6837 +2024/11/08 18:09:21 - mmengine - INFO - Iter(train) [124800/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:18:57 time: 1.0138 data_time: 0.0186 memory: 23745 grad_norm: 23.7031 loss: 8.8096 loss_cls: 0.2876 loss_bbox: 0.1290 loss_iou: 0.2664 d0.loss_cls: 0.3175 d0.loss_bbox: 0.1454 d0.loss_iou: 0.2905 d1.loss_cls: 0.3023 d1.loss_bbox: 0.1370 d1.loss_iou: 0.2800 d2.loss_cls: 0.2990 d2.loss_bbox: 0.1324 d2.loss_iou: 0.2730 d3.loss_cls: 0.2909 d3.loss_bbox: 0.1308 d3.loss_iou: 0.2677 d4.loss_cls: 0.2913 d4.loss_bbox: 0.1295 d4.loss_iou: 0.2661 enc_loss_cls: 0.3425 enc_loss_bbox: 0.1569 enc_loss_iou: 0.3064 dn_loss_cls: 0.0756 dn_loss_bbox: 0.1407 dn_loss_iou: 0.1934 d0.dn_loss_cls: 0.1604 d0.dn_loss_bbox: 0.2951 d0.dn_loss_iou: 0.3398 d1.dn_loss_cls: 0.1080 d1.dn_loss_bbox: 0.1719 d1.dn_loss_iou: 0.2244 d2.dn_loss_cls: 0.0916 d2.dn_loss_bbox: 0.1508 d2.dn_loss_iou: 0.2024 d3.dn_loss_cls: 0.0816 d3.dn_loss_bbox: 0.1421 d3.dn_loss_iou: 0.1947 d4.dn_loss_cls: 0.0765 d4.dn_loss_bbox: 0.1407 d4.dn_loss_iou: 0.1935 d1.loss_lmm_region: 0.1016 loss_lmm_image: 0.6826 +2024/11/08 18:11:04 - mmengine - INFO - Iter(train) [124900/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:17:12 time: 1.0208 data_time: 0.0185 memory: 23982 grad_norm: 19.5455 loss: 7.4562 loss_cls: 0.2253 loss_bbox: 0.0966 loss_iou: 0.1850 d0.loss_cls: 0.2384 d0.loss_bbox: 0.1067 d0.loss_iou: 0.2001 d1.loss_cls: 0.2324 d1.loss_bbox: 0.1003 d1.loss_iou: 0.1886 d2.loss_cls: 0.2285 d2.loss_bbox: 0.0988 d2.loss_iou: 0.1864 d3.loss_cls: 0.2302 d3.loss_bbox: 0.0944 d3.loss_iou: 0.1835 d4.loss_cls: 0.2270 d4.loss_bbox: 0.0966 d4.loss_iou: 0.1850 enc_loss_cls: 0.2539 enc_loss_bbox: 0.1188 enc_loss_iou: 0.2170 dn_loss_cls: 0.0846 dn_loss_bbox: 0.1472 dn_loss_iou: 0.1940 d0.dn_loss_cls: 0.1452 d0.dn_loss_bbox: 0.2784 d0.dn_loss_iou: 0.3273 d1.dn_loss_cls: 0.1023 d1.dn_loss_bbox: 0.1731 d1.dn_loss_iou: 0.2223 d2.dn_loss_cls: 0.0929 d2.dn_loss_bbox: 0.1516 d2.dn_loss_iou: 0.2006 d3.dn_loss_cls: 0.0878 d3.dn_loss_bbox: 0.1484 d3.dn_loss_iou: 0.1951 d4.dn_loss_cls: 0.0856 d4.dn_loss_bbox: 0.1472 d4.dn_loss_iou: 0.1941 d1.loss_lmm_region: 0.1048 loss_lmm_image: 0.6804 +2024/11/08 18:12:47 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/08 18:12:47 - mmengine - INFO - Iter(train) [125000/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:15:27 time: 1.0285 data_time: 0.0186 memory: 23834 grad_norm: 19.7223 loss: 8.3171 loss_cls: 0.2405 loss_bbox: 0.1199 loss_iou: 0.2175 d0.loss_cls: 0.2702 d0.loss_bbox: 0.1323 d0.loss_iou: 0.2339 d1.loss_cls: 0.2578 d1.loss_bbox: 0.1271 d1.loss_iou: 0.2258 d2.loss_cls: 0.2496 d2.loss_bbox: 0.1214 d2.loss_iou: 0.2202 d3.loss_cls: 0.2461 d3.loss_bbox: 0.1184 d3.loss_iou: 0.2170 d4.loss_cls: 0.2429 d4.loss_bbox: 0.1182 d4.loss_iou: 0.2170 enc_loss_cls: 0.2914 enc_loss_bbox: 0.1390 enc_loss_iou: 0.2486 dn_loss_cls: 0.0715 dn_loss_bbox: 0.1701 dn_loss_iou: 0.2124 d0.dn_loss_cls: 0.1526 d0.dn_loss_bbox: 0.3252 d0.dn_loss_iou: 0.3540 d1.dn_loss_cls: 0.1000 d1.dn_loss_bbox: 0.1991 d1.dn_loss_iou: 0.2424 d2.dn_loss_cls: 0.0850 d2.dn_loss_bbox: 0.1798 d2.dn_loss_iou: 0.2214 d3.dn_loss_cls: 0.0772 d3.dn_loss_bbox: 0.1723 d3.dn_loss_iou: 0.2142 d4.dn_loss_cls: 0.0722 d4.dn_loss_bbox: 0.1700 d4.dn_loss_iou: 0.2123 d1.loss_lmm_region: 0.1114 loss_lmm_image: 0.7195 +2024/11/08 18:14:28 - mmengine - INFO - Iter(train) [125100/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:13:42 time: 1.0188 data_time: 0.0186 memory: 22898 grad_norm: 29.0430 loss: 9.1744 loss_cls: 0.3501 loss_bbox: 0.1341 loss_iou: 0.2858 d0.loss_cls: 0.3865 d0.loss_bbox: 0.1500 d0.loss_iou: 0.3040 d1.loss_cls: 0.3701 d1.loss_bbox: 0.1407 d1.loss_iou: 0.2906 d2.loss_cls: 0.3624 d2.loss_bbox: 0.1343 d2.loss_iou: 0.2847 d3.loss_cls: 0.3560 d3.loss_bbox: 0.1350 d3.loss_iou: 0.2827 d4.loss_cls: 0.3484 d4.loss_bbox: 0.1348 d4.loss_iou: 0.2849 enc_loss_cls: 0.4061 enc_loss_bbox: 0.1540 enc_loss_iou: 0.3156 dn_loss_cls: 0.0696 dn_loss_bbox: 0.1213 dn_loss_iou: 0.1869 d0.dn_loss_cls: 0.1511 d0.dn_loss_bbox: 0.2396 d0.dn_loss_iou: 0.3160 d1.dn_loss_cls: 0.1006 d1.dn_loss_bbox: 0.1480 d1.dn_loss_iou: 0.2155 d2.dn_loss_cls: 0.0821 d2.dn_loss_bbox: 0.1297 d2.dn_loss_iou: 0.1959 d3.dn_loss_cls: 0.0740 d3.dn_loss_bbox: 0.1232 d3.dn_loss_iou: 0.1884 d4.dn_loss_cls: 0.0702 d4.dn_loss_bbox: 0.1213 d4.dn_loss_iou: 0.1870 d1.loss_lmm_region: 0.1047 loss_lmm_image: 0.7382 +2024/11/08 18:16:11 - mmengine - INFO - Iter(train) [125200/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:11:57 time: 1.0177 data_time: 0.0187 memory: 23356 grad_norm: 21.1040 loss: 7.6654 loss_cls: 0.2314 loss_bbox: 0.1086 loss_iou: 0.2106 d0.loss_cls: 0.2598 d0.loss_bbox: 0.1260 d0.loss_iou: 0.2340 d1.loss_cls: 0.2414 d1.loss_bbox: 0.1172 d1.loss_iou: 0.2225 d2.loss_cls: 0.2375 d2.loss_bbox: 0.1144 d2.loss_iou: 0.2172 d3.loss_cls: 0.2320 d3.loss_bbox: 0.1130 d3.loss_iou: 0.2135 d4.loss_cls: 0.2333 d4.loss_bbox: 0.1082 d4.loss_iou: 0.2104 enc_loss_cls: 0.2826 enc_loss_bbox: 0.1311 enc_loss_iou: 0.2463 dn_loss_cls: 0.0593 dn_loss_bbox: 0.1384 dn_loss_iou: 0.1914 d0.dn_loss_cls: 0.1354 d0.dn_loss_bbox: 0.2728 d0.dn_loss_iou: 0.3281 d1.dn_loss_cls: 0.0846 d1.dn_loss_bbox: 0.1687 d1.dn_loss_iou: 0.2208 d2.dn_loss_cls: 0.0725 d2.dn_loss_bbox: 0.1480 d2.dn_loss_iou: 0.2005 d3.dn_loss_cls: 0.0634 d3.dn_loss_bbox: 0.1408 d3.dn_loss_iou: 0.1932 d4.dn_loss_cls: 0.0600 d4.dn_loss_bbox: 0.1384 d4.dn_loss_iou: 0.1915 d1.loss_lmm_region: 0.0876 loss_lmm_image: 0.6788 +2024/11/08 18:17:53 - mmengine - INFO - Iter(train) [125300/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:10:12 time: 1.0114 data_time: 0.0186 memory: 23639 grad_norm: 18.5917 loss: 9.2399 loss_cls: 0.2906 loss_bbox: 0.1532 loss_iou: 0.2490 d0.loss_cls: 0.3182 d0.loss_bbox: 0.1635 d0.loss_iou: 0.2628 d1.loss_cls: 0.3033 d1.loss_bbox: 0.1559 d1.loss_iou: 0.2532 d2.loss_cls: 0.2977 d2.loss_bbox: 0.1539 d2.loss_iou: 0.2501 d3.loss_cls: 0.3002 d3.loss_bbox: 0.1516 d3.loss_iou: 0.2467 d4.loss_cls: 0.2919 d4.loss_bbox: 0.1556 d4.loss_iou: 0.2505 enc_loss_cls: 0.3443 enc_loss_bbox: 0.1742 enc_loss_iou: 0.2808 dn_loss_cls: 0.0742 dn_loss_bbox: 0.1805 dn_loss_iou: 0.2147 d0.dn_loss_cls: 0.1751 d0.dn_loss_bbox: 0.3496 d0.dn_loss_iou: 0.3635 d1.dn_loss_cls: 0.1142 d1.dn_loss_bbox: 0.2208 d1.dn_loss_iou: 0.2466 d2.dn_loss_cls: 0.0943 d2.dn_loss_bbox: 0.1880 d2.dn_loss_iou: 0.2217 d3.dn_loss_cls: 0.0813 d3.dn_loss_bbox: 0.1810 d3.dn_loss_iou: 0.2154 d4.dn_loss_cls: 0.0760 d4.dn_loss_bbox: 0.1805 d4.dn_loss_iou: 0.2147 d1.loss_lmm_region: 0.1369 loss_lmm_image: 0.6637 +2024/11/08 18:19:34 - mmengine - INFO - Iter(train) [125400/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:08:27 time: 1.0165 data_time: 0.0187 memory: 22967 grad_norm: 21.9185 loss: 8.2319 loss_cls: 0.2514 loss_bbox: 0.1148 loss_iou: 0.2260 d0.loss_cls: 0.2724 d0.loss_bbox: 0.1291 d0.loss_iou: 0.2446 d1.loss_cls: 0.2614 d1.loss_bbox: 0.1198 d1.loss_iou: 0.2378 d2.loss_cls: 0.2597 d2.loss_bbox: 0.1147 d2.loss_iou: 0.2304 d3.loss_cls: 0.2545 d3.loss_bbox: 0.1161 d3.loss_iou: 0.2276 d4.loss_cls: 0.2503 d4.loss_bbox: 0.1156 d4.loss_iou: 0.2272 enc_loss_cls: 0.3014 enc_loss_bbox: 0.1338 enc_loss_iou: 0.2553 dn_loss_cls: 0.0643 dn_loss_bbox: 0.1452 dn_loss_iou: 0.2112 d0.dn_loss_cls: 0.1407 d0.dn_loss_bbox: 0.3021 d0.dn_loss_iou: 0.3574 d1.dn_loss_cls: 0.0933 d1.dn_loss_bbox: 0.1853 d1.dn_loss_iou: 0.2466 d2.dn_loss_cls: 0.0748 d2.dn_loss_bbox: 0.1565 d2.dn_loss_iou: 0.2202 d3.dn_loss_cls: 0.0680 d3.dn_loss_bbox: 0.1490 d3.dn_loss_iou: 0.2134 d4.dn_loss_cls: 0.0639 d4.dn_loss_bbox: 0.1452 d4.dn_loss_iou: 0.2111 d1.loss_lmm_region: 0.0935 loss_lmm_image: 0.7465 +2024/11/08 18:21:17 - mmengine - INFO - Iter(train) [125500/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:06:42 time: 1.0303 data_time: 0.0188 memory: 24219 grad_norm: 22.2662 loss: 9.7417 loss_cls: 0.3018 loss_bbox: 0.1600 loss_iou: 0.3034 d0.loss_cls: 0.3450 d0.loss_bbox: 0.1761 d0.loss_iou: 0.3244 d1.loss_cls: 0.3203 d1.loss_bbox: 0.1694 d1.loss_iou: 0.3180 d2.loss_cls: 0.3154 d2.loss_bbox: 0.1621 d2.loss_iou: 0.3089 d3.loss_cls: 0.3130 d3.loss_bbox: 0.1605 d3.loss_iou: 0.3043 d4.loss_cls: 0.3052 d4.loss_bbox: 0.1603 d4.loss_iou: 0.3051 enc_loss_cls: 0.3667 enc_loss_bbox: 0.1893 enc_loss_iou: 0.3472 dn_loss_cls: 0.0800 dn_loss_bbox: 0.1675 dn_loss_iou: 0.2180 d0.dn_loss_cls: 0.1632 d0.dn_loss_bbox: 0.3047 d0.dn_loss_iou: 0.3552 d1.dn_loss_cls: 0.1092 d1.dn_loss_bbox: 0.1949 d1.dn_loss_iou: 0.2463 d2.dn_loss_cls: 0.0913 d2.dn_loss_bbox: 0.1723 d2.dn_loss_iou: 0.2245 d3.dn_loss_cls: 0.0843 d3.dn_loss_bbox: 0.1683 d3.dn_loss_iou: 0.2193 d4.dn_loss_cls: 0.0801 d4.dn_loss_bbox: 0.1675 d4.dn_loss_iou: 0.2180 d1.loss_lmm_region: 0.1084 loss_lmm_image: 0.7121 +2024/11/08 18:23:00 - mmengine - INFO - Iter(train) [125600/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:04:58 time: 1.0323 data_time: 0.0187 memory: 24329 grad_norm: 34.6882 loss: 8.1862 loss_cls: 0.2844 loss_bbox: 0.1065 loss_iou: 0.2286 d0.loss_cls: 0.3190 d0.loss_bbox: 0.1192 d0.loss_iou: 0.2443 d1.loss_cls: 0.3004 d1.loss_bbox: 0.1083 d1.loss_iou: 0.2316 d2.loss_cls: 0.2907 d2.loss_bbox: 0.1079 d2.loss_iou: 0.2303 d3.loss_cls: 0.2840 d3.loss_bbox: 0.1072 d3.loss_iou: 0.2295 d4.loss_cls: 0.2823 d4.loss_bbox: 0.1068 d4.loss_iou: 0.2290 enc_loss_cls: 0.3303 enc_loss_bbox: 0.1358 enc_loss_iou: 0.2688 dn_loss_cls: 0.0751 dn_loss_bbox: 0.1271 dn_loss_iou: 0.1856 d0.dn_loss_cls: 0.1537 d0.dn_loss_bbox: 0.2694 d0.dn_loss_iou: 0.3316 d1.dn_loss_cls: 0.0988 d1.dn_loss_bbox: 0.1551 d1.dn_loss_iou: 0.2162 d2.dn_loss_cls: 0.0848 d2.dn_loss_bbox: 0.1339 d2.dn_loss_iou: 0.1930 d3.dn_loss_cls: 0.0762 d3.dn_loss_bbox: 0.1287 d3.dn_loss_iou: 0.1870 d4.dn_loss_cls: 0.0731 d4.dn_loss_bbox: 0.1272 d4.dn_loss_iou: 0.1855 d1.loss_lmm_region: 0.1093 loss_lmm_image: 0.7300 +2024/11/08 18:24:43 - mmengine - INFO - Iter(train) [125700/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:03:13 time: 1.0264 data_time: 0.0186 memory: 23948 grad_norm: 21.7162 loss: 9.6519 loss_cls: 0.3092 loss_bbox: 0.1488 loss_iou: 0.3087 d0.loss_cls: 0.3432 d0.loss_bbox: 0.1660 d0.loss_iou: 0.3252 d1.loss_cls: 0.3282 d1.loss_bbox: 0.1505 d1.loss_iou: 0.3091 d2.loss_cls: 0.3186 d2.loss_bbox: 0.1481 d2.loss_iou: 0.3088 d3.loss_cls: 0.3143 d3.loss_bbox: 0.1478 d3.loss_iou: 0.3065 d4.loss_cls: 0.3086 d4.loss_bbox: 0.1486 d4.loss_iou: 0.3088 enc_loss_cls: 0.3543 enc_loss_bbox: 0.1839 enc_loss_iou: 0.3471 dn_loss_cls: 0.0645 dn_loss_bbox: 0.1523 dn_loss_iou: 0.2405 d0.dn_loss_cls: 0.1466 d0.dn_loss_bbox: 0.2800 d0.dn_loss_iou: 0.3751 d1.dn_loss_cls: 0.0965 d1.dn_loss_bbox: 0.1817 d1.dn_loss_iou: 0.2726 d2.dn_loss_cls: 0.0778 d2.dn_loss_bbox: 0.1627 d2.dn_loss_iou: 0.2496 d3.dn_loss_cls: 0.0696 d3.dn_loss_bbox: 0.1539 d3.dn_loss_iou: 0.2420 d4.dn_loss_cls: 0.0658 d4.dn_loss_bbox: 0.1524 d4.dn_loss_iou: 0.2406 d1.loss_lmm_region: 0.1078 loss_lmm_image: 0.7357 +2024/11/08 18:26:25 - mmengine - INFO - Iter(train) [125800/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:01:28 time: 1.0245 data_time: 0.0187 memory: 23395 grad_norm: 20.1136 loss: 8.8534 loss_cls: 0.2428 loss_bbox: 0.1566 loss_iou: 0.2655 d0.loss_cls: 0.2814 d0.loss_bbox: 0.1648 d0.loss_iou: 0.2806 d1.loss_cls: 0.2639 d1.loss_bbox: 0.1573 d1.loss_iou: 0.2670 d2.loss_cls: 0.2577 d2.loss_bbox: 0.1538 d2.loss_iou: 0.2644 d3.loss_cls: 0.2494 d3.loss_bbox: 0.1584 d3.loss_iou: 0.2669 d4.loss_cls: 0.2475 d4.loss_bbox: 0.1548 d4.loss_iou: 0.2643 enc_loss_cls: 0.3010 enc_loss_bbox: 0.1746 enc_loss_iou: 0.2977 dn_loss_cls: 0.0794 dn_loss_bbox: 0.1583 dn_loss_iou: 0.2115 d0.dn_loss_cls: 0.1596 d0.dn_loss_bbox: 0.3167 d0.dn_loss_iou: 0.3637 d1.dn_loss_cls: 0.1069 d1.dn_loss_bbox: 0.1886 d1.dn_loss_iou: 0.2431 d2.dn_loss_cls: 0.0922 d2.dn_loss_bbox: 0.1665 d2.dn_loss_iou: 0.2197 d3.dn_loss_cls: 0.0845 d3.dn_loss_bbox: 0.1600 d3.dn_loss_iou: 0.2133 d4.dn_loss_cls: 0.0812 d4.dn_loss_bbox: 0.1584 d4.dn_loss_iou: 0.2117 d1.loss_lmm_region: 0.1058 loss_lmm_image: 0.6619 +2024/11/08 18:28:08 - mmengine - INFO - Iter(train) [125900/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:59:43 time: 1.0124 data_time: 0.0186 memory: 23601 grad_norm: 21.9704 loss: 9.1732 loss_cls: 0.2913 loss_bbox: 0.1449 loss_iou: 0.2785 d0.loss_cls: 0.3242 d0.loss_bbox: 0.1575 d0.loss_iou: 0.3005 d1.loss_cls: 0.3021 d1.loss_bbox: 0.1503 d1.loss_iou: 0.2855 d2.loss_cls: 0.2963 d2.loss_bbox: 0.1444 d2.loss_iou: 0.2794 d3.loss_cls: 0.2925 d3.loss_bbox: 0.1438 d3.loss_iou: 0.2782 d4.loss_cls: 0.2918 d4.loss_bbox: 0.1443 d4.loss_iou: 0.2786 enc_loss_cls: 0.3433 enc_loss_bbox: 0.1687 enc_loss_iou: 0.3168 dn_loss_cls: 0.0794 dn_loss_bbox: 0.1607 dn_loss_iou: 0.2066 d0.dn_loss_cls: 0.1604 d0.dn_loss_bbox: 0.2950 d0.dn_loss_iou: 0.3461 d1.dn_loss_cls: 0.1104 d1.dn_loss_bbox: 0.1905 d1.dn_loss_iou: 0.2383 d2.dn_loss_cls: 0.0961 d2.dn_loss_bbox: 0.1670 d2.dn_loss_iou: 0.2148 d3.dn_loss_cls: 0.0845 d3.dn_loss_bbox: 0.1617 d3.dn_loss_iou: 0.2077 d4.dn_loss_cls: 0.0800 d4.dn_loss_bbox: 0.1607 d4.dn_loss_iou: 0.2065 d1.loss_lmm_region: 0.1109 loss_lmm_image: 0.6828 +2024/11/08 18:29:50 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/08 18:29:50 - mmengine - INFO - Iter(train) [126000/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:57:58 time: 1.0204 data_time: 0.0186 memory: 23809 grad_norm: 21.0479 loss: 9.0325 loss_cls: 0.2636 loss_bbox: 0.1484 loss_iou: 0.2650 d0.loss_cls: 0.3062 d0.loss_bbox: 0.1552 d0.loss_iou: 0.2743 d1.loss_cls: 0.2830 d1.loss_bbox: 0.1515 d1.loss_iou: 0.2683 d2.loss_cls: 0.2757 d2.loss_bbox: 0.1477 d2.loss_iou: 0.2660 d3.loss_cls: 0.2693 d3.loss_bbox: 0.1477 d3.loss_iou: 0.2665 d4.loss_cls: 0.2673 d4.loss_bbox: 0.1478 d4.loss_iou: 0.2648 enc_loss_cls: 0.3189 enc_loss_bbox: 0.1694 enc_loss_iou: 0.2960 dn_loss_cls: 0.0871 dn_loss_bbox: 0.1618 dn_loss_iou: 0.2138 d0.dn_loss_cls: 0.1712 d0.dn_loss_bbox: 0.3063 d0.dn_loss_iou: 0.3537 d1.dn_loss_cls: 0.1191 d1.dn_loss_bbox: 0.1883 d1.dn_loss_iou: 0.2413 d2.dn_loss_cls: 0.1093 d2.dn_loss_bbox: 0.1680 d2.dn_loss_iou: 0.2198 d3.dn_loss_cls: 0.0937 d3.dn_loss_bbox: 0.1626 d3.dn_loss_iou: 0.2150 d4.dn_loss_cls: 0.0875 d4.dn_loss_bbox: 0.1618 d4.dn_loss_iou: 0.2138 d1.loss_lmm_region: 0.1070 loss_lmm_image: 0.6987 +2024/11/08 18:31:32 - mmengine - INFO - Iter(train) [126100/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:56:13 time: 1.0178 data_time: 0.0185 memory: 23616 grad_norm: 27.1372 loss: 9.3532 loss_cls: 0.3164 loss_bbox: 0.1505 loss_iou: 0.2798 d0.loss_cls: 0.3489 d0.loss_bbox: 0.1645 d0.loss_iou: 0.2938 d1.loss_cls: 0.3344 d1.loss_bbox: 0.1507 d1.loss_iou: 0.2816 d2.loss_cls: 0.3271 d2.loss_bbox: 0.1491 d2.loss_iou: 0.2797 d3.loss_cls: 0.3209 d3.loss_bbox: 0.1519 d3.loss_iou: 0.2793 d4.loss_cls: 0.3184 d4.loss_bbox: 0.1503 d4.loss_iou: 0.2791 enc_loss_cls: 0.3644 enc_loss_bbox: 0.1731 enc_loss_iou: 0.3116 dn_loss_cls: 0.0710 dn_loss_bbox: 0.1541 dn_loss_iou: 0.2146 d0.dn_loss_cls: 0.1573 d0.dn_loss_bbox: 0.2940 d0.dn_loss_iou: 0.3534 d1.dn_loss_cls: 0.1063 d1.dn_loss_bbox: 0.1869 d1.dn_loss_iou: 0.2475 d2.dn_loss_cls: 0.0887 d2.dn_loss_bbox: 0.1642 d2.dn_loss_iou: 0.2231 d3.dn_loss_cls: 0.0779 d3.dn_loss_bbox: 0.1556 d3.dn_loss_iou: 0.2161 d4.dn_loss_cls: 0.0719 d4.dn_loss_bbox: 0.1542 d4.dn_loss_iou: 0.2146 d1.loss_lmm_region: 0.1070 loss_lmm_image: 0.6691 +2024/11/08 18:33:14 - mmengine - INFO - Iter(train) [126200/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:54:28 time: 1.0213 data_time: 0.0187 memory: 23501 grad_norm: 19.5443 loss: 8.6044 loss_cls: 0.2779 loss_bbox: 0.1241 loss_iou: 0.2465 d0.loss_cls: 0.3052 d0.loss_bbox: 0.1413 d0.loss_iou: 0.2687 d1.loss_cls: 0.3006 d1.loss_bbox: 0.1243 d1.loss_iou: 0.2507 d2.loss_cls: 0.2885 d2.loss_bbox: 0.1238 d2.loss_iou: 0.2472 d3.loss_cls: 0.2834 d3.loss_bbox: 0.1225 d3.loss_iou: 0.2451 d4.loss_cls: 0.2788 d4.loss_bbox: 0.1242 d4.loss_iou: 0.2462 enc_loss_cls: 0.3231 enc_loss_bbox: 0.1557 enc_loss_iou: 0.2861 dn_loss_cls: 0.0742 dn_loss_bbox: 0.1483 dn_loss_iou: 0.2114 d0.dn_loss_cls: 0.1450 d0.dn_loss_bbox: 0.2889 d0.dn_loss_iou: 0.3513 d1.dn_loss_cls: 0.0996 d1.dn_loss_bbox: 0.1779 d1.dn_loss_iou: 0.2418 d2.dn_loss_cls: 0.0857 d2.dn_loss_bbox: 0.1533 d2.dn_loss_iou: 0.2184 d3.dn_loss_cls: 0.0789 d3.dn_loss_bbox: 0.1488 d3.dn_loss_iou: 0.2124 d4.dn_loss_cls: 0.0749 d4.dn_loss_bbox: 0.1482 d4.dn_loss_iou: 0.2114 d1.loss_lmm_region: 0.0945 loss_lmm_image: 0.6758 +2024/11/08 18:34:57 - mmengine - INFO - Iter(train) [126300/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:52:43 time: 1.0218 data_time: 0.0187 memory: 23480 grad_norm: 22.5950 loss: 8.2986 loss_cls: 0.2474 loss_bbox: 0.1211 loss_iou: 0.2181 d0.loss_cls: 0.2767 d0.loss_bbox: 0.1369 d0.loss_iou: 0.2395 d1.loss_cls: 0.2563 d1.loss_bbox: 0.1295 d1.loss_iou: 0.2291 d2.loss_cls: 0.2544 d2.loss_bbox: 0.1226 d2.loss_iou: 0.2216 d3.loss_cls: 0.2502 d3.loss_bbox: 0.1233 d3.loss_iou: 0.2204 d4.loss_cls: 0.2449 d4.loss_bbox: 0.1234 d4.loss_iou: 0.2190 enc_loss_cls: 0.2970 enc_loss_bbox: 0.1427 enc_loss_iou: 0.2524 dn_loss_cls: 0.0753 dn_loss_bbox: 0.1611 dn_loss_iou: 0.2138 d0.dn_loss_cls: 0.1630 d0.dn_loss_bbox: 0.3090 d0.dn_loss_iou: 0.3584 d1.dn_loss_cls: 0.1042 d1.dn_loss_bbox: 0.1896 d1.dn_loss_iou: 0.2405 d2.dn_loss_cls: 0.0885 d2.dn_loss_bbox: 0.1678 d2.dn_loss_iou: 0.2203 d3.dn_loss_cls: 0.0806 d3.dn_loss_bbox: 0.1637 d3.dn_loss_iou: 0.2154 d4.dn_loss_cls: 0.0757 d4.dn_loss_bbox: 0.1612 d4.dn_loss_iou: 0.2138 d1.loss_lmm_region: 0.1224 loss_lmm_image: 0.6482 +2024/11/08 18:36:40 - mmengine - INFO - Iter(train) [126400/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:50:59 time: 1.0333 data_time: 0.0187 memory: 23510 grad_norm: 22.0803 loss: 9.5132 loss_cls: 0.3009 loss_bbox: 0.1412 loss_iou: 0.2726 d0.loss_cls: 0.3384 d0.loss_bbox: 0.1539 d0.loss_iou: 0.2893 d1.loss_cls: 0.3179 d1.loss_bbox: 0.1489 d1.loss_iou: 0.2844 d2.loss_cls: 0.3090 d2.loss_bbox: 0.1410 d2.loss_iou: 0.2742 d3.loss_cls: 0.3054 d3.loss_bbox: 0.1406 d3.loss_iou: 0.2750 d4.loss_cls: 0.3039 d4.loss_bbox: 0.1412 d4.loss_iou: 0.2733 enc_loss_cls: 0.3545 enc_loss_bbox: 0.1631 enc_loss_iou: 0.3058 dn_loss_cls: 0.1237 dn_loss_bbox: 0.1661 dn_loss_iou: 0.2223 d0.dn_loss_cls: 0.1852 d0.dn_loss_bbox: 0.3039 d0.dn_loss_iou: 0.3622 d1.dn_loss_cls: 0.1452 d1.dn_loss_bbox: 0.1973 d1.dn_loss_iou: 0.2546 d2.dn_loss_cls: 0.1286 d2.dn_loss_bbox: 0.1743 d2.dn_loss_iou: 0.2316 d3.dn_loss_cls: 0.1252 d3.dn_loss_bbox: 0.1682 d3.dn_loss_iou: 0.2243 d4.dn_loss_cls: 0.1264 d4.dn_loss_bbox: 0.1661 d4.dn_loss_iou: 0.2223 d1.loss_lmm_region: 0.1186 loss_lmm_image: 0.6326 +2024/11/08 18:38:23 - mmengine - INFO - Iter(train) [126500/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:49:14 time: 1.0270 data_time: 0.0186 memory: 24330 grad_norm: 19.8358 loss: 8.4732 loss_cls: 0.2574 loss_bbox: 0.1244 loss_iou: 0.2293 d0.loss_cls: 0.2824 d0.loss_bbox: 0.1383 d0.loss_iou: 0.2456 d1.loss_cls: 0.2692 d1.loss_bbox: 0.1315 d1.loss_iou: 0.2393 d2.loss_cls: 0.2645 d2.loss_bbox: 0.1255 d2.loss_iou: 0.2310 d3.loss_cls: 0.2600 d3.loss_bbox: 0.1254 d3.loss_iou: 0.2309 d4.loss_cls: 0.2588 d4.loss_bbox: 0.1240 d4.loss_iou: 0.2285 enc_loss_cls: 0.2994 enc_loss_bbox: 0.1507 enc_loss_iou: 0.2654 dn_loss_cls: 0.0891 dn_loss_bbox: 0.1540 dn_loss_iou: 0.2019 d0.dn_loss_cls: 0.1660 d0.dn_loss_bbox: 0.3059 d0.dn_loss_iou: 0.3444 d1.dn_loss_cls: 0.1200 d1.dn_loss_bbox: 0.1862 d1.dn_loss_iou: 0.2318 d2.dn_loss_cls: 0.1020 d2.dn_loss_bbox: 0.1612 d2.dn_loss_iou: 0.2092 d3.dn_loss_cls: 0.0909 d3.dn_loss_bbox: 0.1542 d3.dn_loss_iou: 0.2027 d4.dn_loss_cls: 0.0886 d4.dn_loss_bbox: 0.1539 d4.dn_loss_iou: 0.2018 d1.loss_lmm_region: 0.0933 loss_lmm_image: 0.7346 +2024/11/08 18:40:05 - mmengine - INFO - Iter(train) [126600/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:47:29 time: 1.0284 data_time: 0.0189 memory: 24618 grad_norm: 22.1379 loss: 8.4382 loss_cls: 0.2762 loss_bbox: 0.1111 loss_iou: 0.2406 d0.loss_cls: 0.3059 d0.loss_bbox: 0.1312 d0.loss_iou: 0.2597 d1.loss_cls: 0.2928 d1.loss_bbox: 0.1182 d1.loss_iou: 0.2481 d2.loss_cls: 0.2865 d2.loss_bbox: 0.1133 d2.loss_iou: 0.2405 d3.loss_cls: 0.2825 d3.loss_bbox: 0.1107 d3.loss_iou: 0.2402 d4.loss_cls: 0.2790 d4.loss_bbox: 0.1111 d4.loss_iou: 0.2404 enc_loss_cls: 0.3239 enc_loss_bbox: 0.1412 enc_loss_iou: 0.2801 dn_loss_cls: 0.1023 dn_loss_bbox: 0.1280 dn_loss_iou: 0.1957 d0.dn_loss_cls: 0.1556 d0.dn_loss_bbox: 0.2662 d0.dn_loss_iou: 0.3375 d1.dn_loss_cls: 0.1147 d1.dn_loss_bbox: 0.1595 d1.dn_loss_iou: 0.2282 d2.dn_loss_cls: 0.1102 d2.dn_loss_bbox: 0.1375 d2.dn_loss_iou: 0.2044 d3.dn_loss_cls: 0.1037 d3.dn_loss_bbox: 0.1291 d3.dn_loss_iou: 0.1971 d4.dn_loss_cls: 0.1007 d4.dn_loss_bbox: 0.1280 d4.dn_loss_iou: 0.1959 d1.loss_lmm_region: 0.0862 loss_lmm_image: 0.7248 +2024/11/08 18:41:48 - mmengine - INFO - Iter(train) [126700/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:45:44 time: 1.0211 data_time: 0.0188 memory: 23286 grad_norm: 20.6209 loss: 8.1637 loss_cls: 0.2453 loss_bbox: 0.1305 loss_iou: 0.2172 d0.loss_cls: 0.2726 d0.loss_bbox: 0.1441 d0.loss_iou: 0.2318 d1.loss_cls: 0.2583 d1.loss_bbox: 0.1358 d1.loss_iou: 0.2236 d2.loss_cls: 0.2554 d2.loss_bbox: 0.1312 d2.loss_iou: 0.2187 d3.loss_cls: 0.2487 d3.loss_bbox: 0.1320 d3.loss_iou: 0.2179 d4.loss_cls: 0.2471 d4.loss_bbox: 0.1311 d4.loss_iou: 0.2165 enc_loss_cls: 0.2893 enc_loss_bbox: 0.1579 enc_loss_iou: 0.2538 dn_loss_cls: 0.0685 dn_loss_bbox: 0.1576 dn_loss_iou: 0.1945 d0.dn_loss_cls: 0.1483 d0.dn_loss_bbox: 0.2983 d0.dn_loss_iou: 0.3282 d1.dn_loss_cls: 0.0970 d1.dn_loss_bbox: 0.1863 d1.dn_loss_iou: 0.2230 d2.dn_loss_cls: 0.0813 d2.dn_loss_bbox: 0.1656 d2.dn_loss_iou: 0.2024 d3.dn_loss_cls: 0.0728 d3.dn_loss_bbox: 0.1595 d3.dn_loss_iou: 0.1961 d4.dn_loss_cls: 0.0709 d4.dn_loss_bbox: 0.1575 d4.dn_loss_iou: 0.1945 d1.loss_lmm_region: 0.1084 loss_lmm_image: 0.6941 +2024/11/08 18:43:31 - mmengine - INFO - Iter(train) [126800/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:43:59 time: 1.0266 data_time: 0.0187 memory: 23915 grad_norm: 21.0453 loss: 9.9936 loss_cls: 0.3079 loss_bbox: 0.1634 loss_iou: 0.2999 d0.loss_cls: 0.3354 d0.loss_bbox: 0.1818 d0.loss_iou: 0.3174 d1.loss_cls: 0.3234 d1.loss_bbox: 0.1742 d1.loss_iou: 0.3112 d2.loss_cls: 0.3142 d2.loss_bbox: 0.1708 d2.loss_iou: 0.3041 d3.loss_cls: 0.3137 d3.loss_bbox: 0.1685 d3.loss_iou: 0.2993 d4.loss_cls: 0.3051 d4.loss_bbox: 0.1693 d4.loss_iou: 0.3002 enc_loss_cls: 0.3625 enc_loss_bbox: 0.1889 enc_loss_iou: 0.3285 dn_loss_cls: 0.0865 dn_loss_bbox: 0.1746 dn_loss_iou: 0.2430 d0.dn_loss_cls: 0.1846 d0.dn_loss_bbox: 0.3273 d0.dn_loss_iou: 0.3909 d1.dn_loss_cls: 0.1251 d1.dn_loss_bbox: 0.2089 d1.dn_loss_iou: 0.2785 d2.dn_loss_cls: 0.1053 d2.dn_loss_bbox: 0.1854 d2.dn_loss_iou: 0.2540 d3.dn_loss_cls: 0.0935 d3.dn_loss_bbox: 0.1759 d3.dn_loss_iou: 0.2445 d4.dn_loss_cls: 0.0863 d4.dn_loss_bbox: 0.1744 d4.dn_loss_iou: 0.2430 d1.loss_lmm_region: 0.1190 loss_lmm_image: 0.6533 +2024/11/08 18:45:13 - mmengine - INFO - Iter(train) [126900/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:42:14 time: 1.0180 data_time: 0.0187 memory: 23809 grad_norm: 21.5962 loss: 8.4138 loss_cls: 0.2618 loss_bbox: 0.1252 loss_iou: 0.2247 d0.loss_cls: 0.3013 d0.loss_bbox: 0.1338 d0.loss_iou: 0.2367 d1.loss_cls: 0.2818 d1.loss_bbox: 0.1278 d1.loss_iou: 0.2287 d2.loss_cls: 0.2710 d2.loss_bbox: 0.1265 d2.loss_iou: 0.2258 d3.loss_cls: 0.2643 d3.loss_bbox: 0.1261 d3.loss_iou: 0.2256 d4.loss_cls: 0.2626 d4.loss_bbox: 0.1251 d4.loss_iou: 0.2250 enc_loss_cls: 0.3148 enc_loss_bbox: 0.1447 enc_loss_iou: 0.2553 dn_loss_cls: 0.0727 dn_loss_bbox: 0.1578 dn_loss_iou: 0.2084 d0.dn_loss_cls: 0.1596 d0.dn_loss_bbox: 0.3100 d0.dn_loss_iou: 0.3490 d1.dn_loss_cls: 0.1016 d1.dn_loss_bbox: 0.1915 d1.dn_loss_iou: 0.2390 d2.dn_loss_cls: 0.0862 d2.dn_loss_bbox: 0.1696 d2.dn_loss_iou: 0.2181 d3.dn_loss_cls: 0.0784 d3.dn_loss_bbox: 0.1598 d3.dn_loss_iou: 0.2101 d4.dn_loss_cls: 0.0740 d4.dn_loss_bbox: 0.1581 d4.dn_loss_iou: 0.2086 d1.loss_lmm_region: 0.0926 loss_lmm_image: 0.6800 +2024/11/08 18:46:55 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/08 18:46:55 - mmengine - INFO - Iter(train) [127000/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:40:29 time: 1.0316 data_time: 0.0187 memory: 23866 grad_norm: 19.4042 loss: 9.5362 loss_cls: 0.2988 loss_bbox: 0.1542 loss_iou: 0.2956 d0.loss_cls: 0.3435 d0.loss_bbox: 0.1652 d0.loss_iou: 0.3139 d1.loss_cls: 0.3232 d1.loss_bbox: 0.1511 d1.loss_iou: 0.2989 d2.loss_cls: 0.3152 d2.loss_bbox: 0.1479 d2.loss_iou: 0.2954 d3.loss_cls: 0.3108 d3.loss_bbox: 0.1474 d3.loss_iou: 0.2918 d4.loss_cls: 0.3039 d4.loss_bbox: 0.1512 d4.loss_iou: 0.2945 enc_loss_cls: 0.3569 enc_loss_bbox: 0.1791 enc_loss_iou: 0.3403 dn_loss_cls: 0.0769 dn_loss_bbox: 0.1663 dn_loss_iou: 0.2252 d0.dn_loss_cls: 0.1540 d0.dn_loss_bbox: 0.3017 d0.dn_loss_iou: 0.3630 d1.dn_loss_cls: 0.1046 d1.dn_loss_bbox: 0.2033 d1.dn_loss_iou: 0.2583 d2.dn_loss_cls: 0.0904 d2.dn_loss_bbox: 0.1755 d2.dn_loss_iou: 0.2335 d3.dn_loss_cls: 0.0822 d3.dn_loss_bbox: 0.1674 d3.dn_loss_iou: 0.2268 d4.dn_loss_cls: 0.0782 d4.dn_loss_bbox: 0.1664 d4.dn_loss_iou: 0.2251 d1.loss_lmm_region: 0.0930 loss_lmm_image: 0.6656 +2024/11/08 18:48:38 - mmengine - INFO - Iter(train) [127100/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:38:45 time: 1.0278 data_time: 0.0187 memory: 23212 grad_norm: 22.7107 loss: 7.9111 loss_cls: 0.2307 loss_bbox: 0.1136 loss_iou: 0.2021 d0.loss_cls: 0.2576 d0.loss_bbox: 0.1239 d0.loss_iou: 0.2183 d1.loss_cls: 0.2463 d1.loss_bbox: 0.1139 d1.loss_iou: 0.2069 d2.loss_cls: 0.2392 d2.loss_bbox: 0.1114 d2.loss_iou: 0.2005 d3.loss_cls: 0.2339 d3.loss_bbox: 0.1123 d3.loss_iou: 0.2006 d4.loss_cls: 0.2318 d4.loss_bbox: 0.1136 d4.loss_iou: 0.2021 enc_loss_cls: 0.2719 enc_loss_bbox: 0.1352 enc_loss_iou: 0.2328 dn_loss_cls: 0.0914 dn_loss_bbox: 0.1473 dn_loss_iou: 0.2011 d0.dn_loss_cls: 0.1659 d0.dn_loss_bbox: 0.2996 d0.dn_loss_iou: 0.3452 d1.dn_loss_cls: 0.1190 d1.dn_loss_bbox: 0.1850 d1.dn_loss_iou: 0.2343 d2.dn_loss_cls: 0.1048 d2.dn_loss_bbox: 0.1578 d2.dn_loss_iou: 0.2099 d3.dn_loss_cls: 0.0973 d3.dn_loss_bbox: 0.1496 d3.dn_loss_iou: 0.2027 d4.dn_loss_cls: 0.0921 d4.dn_loss_bbox: 0.1473 d4.dn_loss_iou: 0.2011 d1.loss_lmm_region: 0.1092 loss_lmm_image: 0.6515 +2024/11/08 18:50:20 - mmengine - INFO - Iter(train) [127200/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:37:00 time: 1.0312 data_time: 0.0187 memory: 23277 grad_norm: 21.9029 loss: 9.0455 loss_cls: 0.2904 loss_bbox: 0.1466 loss_iou: 0.2355 d0.loss_cls: 0.3281 d0.loss_bbox: 0.1502 d0.loss_iou: 0.2406 d1.loss_cls: 0.3148 d1.loss_bbox: 0.1452 d1.loss_iou: 0.2313 d2.loss_cls: 0.3056 d2.loss_bbox: 0.1446 d2.loss_iou: 0.2309 d3.loss_cls: 0.3017 d3.loss_bbox: 0.1446 d3.loss_iou: 0.2314 d4.loss_cls: 0.2938 d4.loss_bbox: 0.1450 d4.loss_iou: 0.2343 enc_loss_cls: 0.3480 enc_loss_bbox: 0.1587 enc_loss_iou: 0.2550 dn_loss_cls: 0.0876 dn_loss_bbox: 0.1813 dn_loss_iou: 0.2127 d0.dn_loss_cls: 0.1770 d0.dn_loss_bbox: 0.3429 d0.dn_loss_iou: 0.3553 d1.dn_loss_cls: 0.1190 d1.dn_loss_bbox: 0.2160 d1.dn_loss_iou: 0.2409 d2.dn_loss_cls: 0.1025 d2.dn_loss_bbox: 0.1899 d2.dn_loss_iou: 0.2202 d3.dn_loss_cls: 0.0918 d3.dn_loss_bbox: 0.1823 d3.dn_loss_iou: 0.2141 d4.dn_loss_cls: 0.0882 d4.dn_loss_bbox: 0.1814 d4.dn_loss_iou: 0.2128 d1.loss_lmm_region: 0.1220 loss_lmm_image: 0.6318 +2024/11/08 18:52:02 - mmengine - INFO - Iter(train) [127300/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:35:15 time: 1.0075 data_time: 0.0186 memory: 23304 grad_norm: 24.7395 loss: 8.2892 loss_cls: 0.2347 loss_bbox: 0.1294 loss_iou: 0.2152 d0.loss_cls: 0.2622 d0.loss_bbox: 0.1439 d0.loss_iou: 0.2326 d1.loss_cls: 0.2484 d1.loss_bbox: 0.1342 d1.loss_iou: 0.2234 d2.loss_cls: 0.2437 d2.loss_bbox: 0.1275 d2.loss_iou: 0.2159 d3.loss_cls: 0.2364 d3.loss_bbox: 0.1316 d3.loss_iou: 0.2155 d4.loss_cls: 0.2358 d4.loss_bbox: 0.1291 d4.loss_iou: 0.2150 enc_loss_cls: 0.2827 enc_loss_bbox: 0.1519 enc_loss_iou: 0.2481 dn_loss_cls: 0.0687 dn_loss_bbox: 0.1731 dn_loss_iou: 0.2102 d0.dn_loss_cls: 0.1449 d0.dn_loss_bbox: 0.3146 d0.dn_loss_iou: 0.3437 d1.dn_loss_cls: 0.0936 d1.dn_loss_bbox: 0.2029 d1.dn_loss_iou: 0.2383 d2.dn_loss_cls: 0.0801 d2.dn_loss_bbox: 0.1812 d2.dn_loss_iou: 0.2179 d3.dn_loss_cls: 0.0731 d3.dn_loss_bbox: 0.1745 d3.dn_loss_iou: 0.2118 d4.dn_loss_cls: 0.0687 d4.dn_loss_bbox: 0.1728 d4.dn_loss_iou: 0.2101 d1.loss_lmm_region: 0.1092 loss_lmm_image: 0.7427 +2024/11/08 18:53:45 - mmengine - INFO - Iter(train) [127400/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:33:30 time: 1.0156 data_time: 0.0187 memory: 23202 grad_norm: 21.6953 loss: 8.6672 loss_cls: 0.2742 loss_bbox: 0.1310 loss_iou: 0.2425 d0.loss_cls: 0.3022 d0.loss_bbox: 0.1474 d0.loss_iou: 0.2596 d1.loss_cls: 0.2941 d1.loss_bbox: 0.1326 d1.loss_iou: 0.2473 d2.loss_cls: 0.2841 d2.loss_bbox: 0.1315 d2.loss_iou: 0.2430 d3.loss_cls: 0.2782 d3.loss_bbox: 0.1307 d3.loss_iou: 0.2422 d4.loss_cls: 0.2752 d4.loss_bbox: 0.1301 d4.loss_iou: 0.2420 enc_loss_cls: 0.3194 enc_loss_bbox: 0.1518 enc_loss_iou: 0.2692 dn_loss_cls: 0.0686 dn_loss_bbox: 0.1583 dn_loss_iou: 0.2120 d0.dn_loss_cls: 0.1493 d0.dn_loss_bbox: 0.2997 d0.dn_loss_iou: 0.3551 d1.dn_loss_cls: 0.0975 d1.dn_loss_bbox: 0.1875 d1.dn_loss_iou: 0.2418 d2.dn_loss_cls: 0.0803 d2.dn_loss_bbox: 0.1639 d2.dn_loss_iou: 0.2190 d3.dn_loss_cls: 0.0713 d3.dn_loss_bbox: 0.1590 d3.dn_loss_iou: 0.2133 d4.dn_loss_cls: 0.0686 d4.dn_loss_bbox: 0.1583 d4.dn_loss_iou: 0.2121 d1.loss_lmm_region: 0.1047 loss_lmm_image: 0.7183 +2024/11/08 18:55:27 - mmengine - INFO - Iter(train) [127500/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:31:45 time: 1.0192 data_time: 0.0188 memory: 23015 grad_norm: 19.3569 loss: 7.9941 loss_cls: 0.2588 loss_bbox: 0.1018 loss_iou: 0.2234 d0.loss_cls: 0.2885 d0.loss_bbox: 0.1136 d0.loss_iou: 0.2404 d1.loss_cls: 0.2725 d1.loss_bbox: 0.1066 d1.loss_iou: 0.2276 d2.loss_cls: 0.2634 d2.loss_bbox: 0.1038 d2.loss_iou: 0.2264 d3.loss_cls: 0.2601 d3.loss_bbox: 0.1027 d3.loss_iou: 0.2248 d4.loss_cls: 0.2576 d4.loss_bbox: 0.1029 d4.loss_iou: 0.2253 enc_loss_cls: 0.3010 enc_loss_bbox: 0.1237 enc_loss_iou: 0.2548 dn_loss_cls: 0.0751 dn_loss_bbox: 0.1332 dn_loss_iou: 0.1824 d0.dn_loss_cls: 0.1617 d0.dn_loss_bbox: 0.2796 d0.dn_loss_iou: 0.3259 d1.dn_loss_cls: 0.1122 d1.dn_loss_bbox: 0.1657 d1.dn_loss_iou: 0.2143 d2.dn_loss_cls: 0.0947 d2.dn_loss_bbox: 0.1433 d2.dn_loss_iou: 0.1914 d3.dn_loss_cls: 0.0813 d3.dn_loss_bbox: 0.1339 d3.dn_loss_iou: 0.1833 d4.dn_loss_cls: 0.0743 d4.dn_loss_bbox: 0.1331 d4.dn_loss_iou: 0.1823 d1.loss_lmm_region: 0.1154 loss_lmm_image: 0.7312 +2024/11/08 18:57:09 - mmengine - INFO - Iter(train) [127600/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:30:00 time: 1.0202 data_time: 0.0188 memory: 23672 grad_norm: 20.8669 loss: 9.6383 loss_cls: 0.2932 loss_bbox: 0.1351 loss_iou: 0.2831 d0.loss_cls: 0.3315 d0.loss_bbox: 0.1499 d0.loss_iou: 0.3051 d1.loss_cls: 0.3209 d1.loss_bbox: 0.1391 d1.loss_iou: 0.2897 d2.loss_cls: 0.3048 d2.loss_bbox: 0.1384 d2.loss_iou: 0.2854 d3.loss_cls: 0.3034 d3.loss_bbox: 0.1341 d3.loss_iou: 0.2818 d4.loss_cls: 0.2956 d4.loss_bbox: 0.1351 d4.loss_iou: 0.2839 enc_loss_cls: 0.3512 enc_loss_bbox: 0.1609 enc_loss_iou: 0.3218 dn_loss_cls: 0.1141 dn_loss_bbox: 0.1637 dn_loss_iou: 0.2421 d0.dn_loss_cls: 0.1905 d0.dn_loss_bbox: 0.3139 d0.dn_loss_iou: 0.3908 d1.dn_loss_cls: 0.1355 d1.dn_loss_bbox: 0.2007 d1.dn_loss_iou: 0.2740 d2.dn_loss_cls: 0.1275 d2.dn_loss_bbox: 0.1742 d2.dn_loss_iou: 0.2504 d3.dn_loss_cls: 0.1177 d3.dn_loss_bbox: 0.1651 d3.dn_loss_iou: 0.2431 d4.dn_loss_cls: 0.1152 d4.dn_loss_bbox: 0.1637 d4.dn_loss_iou: 0.2420 d1.loss_lmm_region: 0.1065 loss_lmm_image: 0.6637 +2024/11/08 18:58:51 - mmengine - INFO - Iter(train) [127700/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:28:15 time: 1.0269 data_time: 0.0186 memory: 23439 grad_norm: 22.9888 loss: 9.2435 loss_cls: 0.3131 loss_bbox: 0.1437 loss_iou: 0.2485 d0.loss_cls: 0.3530 d0.loss_bbox: 0.1653 d0.loss_iou: 0.2701 d1.loss_cls: 0.3386 d1.loss_bbox: 0.1472 d1.loss_iou: 0.2576 d2.loss_cls: 0.3305 d2.loss_bbox: 0.1446 d2.loss_iou: 0.2518 d3.loss_cls: 0.3218 d3.loss_bbox: 0.1449 d3.loss_iou: 0.2489 d4.loss_cls: 0.3135 d4.loss_bbox: 0.1459 d4.loss_iou: 0.2499 enc_loss_cls: 0.3761 enc_loss_bbox: 0.1697 enc_loss_iou: 0.2872 dn_loss_cls: 0.0976 dn_loss_bbox: 0.1566 dn_loss_iou: 0.2010 d0.dn_loss_cls: 0.1797 d0.dn_loss_bbox: 0.2937 d0.dn_loss_iou: 0.3346 d1.dn_loss_cls: 0.1294 d1.dn_loss_bbox: 0.1869 d1.dn_loss_iou: 0.2303 d2.dn_loss_cls: 0.1094 d2.dn_loss_bbox: 0.1630 d2.dn_loss_iou: 0.2083 d3.dn_loss_cls: 0.1032 d3.dn_loss_bbox: 0.1575 d3.dn_loss_iou: 0.2025 d4.dn_loss_cls: 0.0960 d4.dn_loss_bbox: 0.1567 d4.dn_loss_iou: 0.2012 d1.loss_lmm_region: 0.1128 loss_lmm_image: 0.7013 +2024/11/08 19:00:34 - mmengine - INFO - Iter(train) [127800/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:26:31 time: 1.0253 data_time: 0.0189 memory: 23212 grad_norm: 22.3297 loss: 8.6969 loss_cls: 0.2679 loss_bbox: 0.1370 loss_iou: 0.2583 d0.loss_cls: 0.2986 d0.loss_bbox: 0.1552 d0.loss_iou: 0.2793 d1.loss_cls: 0.2809 d1.loss_bbox: 0.1454 d1.loss_iou: 0.2661 d2.loss_cls: 0.2702 d2.loss_bbox: 0.1397 d2.loss_iou: 0.2620 d3.loss_cls: 0.2704 d3.loss_bbox: 0.1361 d3.loss_iou: 0.2591 d4.loss_cls: 0.2690 d4.loss_bbox: 0.1371 d4.loss_iou: 0.2586 enc_loss_cls: 0.3119 enc_loss_bbox: 0.1668 enc_loss_iou: 0.2946 dn_loss_cls: 0.0590 dn_loss_bbox: 0.1620 dn_loss_iou: 0.2097 d0.dn_loss_cls: 0.1492 d0.dn_loss_bbox: 0.3038 d0.dn_loss_iou: 0.3503 d1.dn_loss_cls: 0.0903 d1.dn_loss_bbox: 0.1940 d1.dn_loss_iou: 0.2409 d2.dn_loss_cls: 0.0718 d2.dn_loss_bbox: 0.1710 d2.dn_loss_iou: 0.2174 d3.dn_loss_cls: 0.0635 d3.dn_loss_bbox: 0.1638 d3.dn_loss_iou: 0.2110 d4.dn_loss_cls: 0.0594 d4.dn_loss_bbox: 0.1621 d4.dn_loss_iou: 0.2095 d1.loss_lmm_region: 0.1032 loss_lmm_image: 0.6409 +2024/11/08 19:02:17 - mmengine - INFO - Iter(train) [127900/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:24:46 time: 1.0144 data_time: 0.0187 memory: 24121 grad_norm: 21.9323 loss: 9.6739 loss_cls: 0.3127 loss_bbox: 0.1474 loss_iou: 0.2761 d0.loss_cls: 0.3387 d0.loss_bbox: 0.1645 d0.loss_iou: 0.2934 d1.loss_cls: 0.3252 d1.loss_bbox: 0.1483 d1.loss_iou: 0.2773 d2.loss_cls: 0.3212 d2.loss_bbox: 0.1438 d2.loss_iou: 0.2743 d3.loss_cls: 0.3172 d3.loss_bbox: 0.1444 d3.loss_iou: 0.2751 d4.loss_cls: 0.3151 d4.loss_bbox: 0.1453 d4.loss_iou: 0.2754 enc_loss_cls: 0.3672 enc_loss_bbox: 0.1775 enc_loss_iou: 0.3112 dn_loss_cls: 0.0850 dn_loss_bbox: 0.1724 dn_loss_iou: 0.2392 d0.dn_loss_cls: 0.1681 d0.dn_loss_bbox: 0.3187 d0.dn_loss_iou: 0.3853 d1.dn_loss_cls: 0.1135 d1.dn_loss_bbox: 0.2065 d1.dn_loss_iou: 0.2739 d2.dn_loss_cls: 0.0962 d2.dn_loss_bbox: 0.1786 d2.dn_loss_iou: 0.2466 d3.dn_loss_cls: 0.0889 d3.dn_loss_bbox: 0.1730 d3.dn_loss_iou: 0.2401 d4.dn_loss_cls: 0.0847 d4.dn_loss_bbox: 0.1725 d4.dn_loss_iou: 0.2393 d1.loss_lmm_region: 0.1101 loss_lmm_image: 0.7301 +2024/11/08 19:03:59 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/08 19:03:59 - mmengine - INFO - Iter(train) [128000/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:23:01 time: 1.0195 data_time: 0.0189 memory: 23473 grad_norm: 20.2993 loss: 8.3386 loss_cls: 0.2480 loss_bbox: 0.1316 loss_iou: 0.2402 d0.loss_cls: 0.2851 d0.loss_bbox: 0.1457 d0.loss_iou: 0.2600 d1.loss_cls: 0.2697 d1.loss_bbox: 0.1347 d1.loss_iou: 0.2465 d2.loss_cls: 0.2586 d2.loss_bbox: 0.1344 d2.loss_iou: 0.2420 d3.loss_cls: 0.2528 d3.loss_bbox: 0.1323 d3.loss_iou: 0.2428 d4.loss_cls: 0.2481 d4.loss_bbox: 0.1313 d4.loss_iou: 0.2401 enc_loss_cls: 0.2893 enc_loss_bbox: 0.1619 enc_loss_iou: 0.2759 dn_loss_cls: 0.0575 dn_loss_bbox: 0.1495 dn_loss_iou: 0.2066 d0.dn_loss_cls: 0.1457 d0.dn_loss_bbox: 0.3075 d0.dn_loss_iou: 0.3517 d1.dn_loss_cls: 0.0907 d1.dn_loss_bbox: 0.1841 d1.dn_loss_iou: 0.2371 d2.dn_loss_cls: 0.0742 d2.dn_loss_bbox: 0.1571 d2.dn_loss_iou: 0.2133 d3.dn_loss_cls: 0.0631 d3.dn_loss_bbox: 0.1509 d3.dn_loss_iou: 0.2080 d4.dn_loss_cls: 0.0580 d4.dn_loss_bbox: 0.1495 d4.dn_loss_iou: 0.2067 d1.loss_lmm_region: 0.0976 loss_lmm_image: 0.6590 +2024/11/08 19:05:42 - mmengine - INFO - Iter(train) [128100/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:21:16 time: 1.0195 data_time: 0.0189 memory: 24064 grad_norm: 20.2128 loss: 9.1635 loss_cls: 0.2833 loss_bbox: 0.1409 loss_iou: 0.2779 d0.loss_cls: 0.3101 d0.loss_bbox: 0.1593 d0.loss_iou: 0.2959 d1.loss_cls: 0.2990 d1.loss_bbox: 0.1509 d1.loss_iou: 0.2854 d2.loss_cls: 0.2936 d2.loss_bbox: 0.1415 d2.loss_iou: 0.2804 d3.loss_cls: 0.2898 d3.loss_bbox: 0.1384 d3.loss_iou: 0.2774 d4.loss_cls: 0.2829 d4.loss_bbox: 0.1408 d4.loss_iou: 0.2788 enc_loss_cls: 0.3311 enc_loss_bbox: 0.1628 enc_loss_iou: 0.3100 dn_loss_cls: 0.0842 dn_loss_bbox: 0.1637 dn_loss_iou: 0.2233 d0.dn_loss_cls: 0.1646 d0.dn_loss_bbox: 0.2939 d0.dn_loss_iou: 0.3530 d1.dn_loss_cls: 0.1134 d1.dn_loss_bbox: 0.1906 d1.dn_loss_iou: 0.2512 d2.dn_loss_cls: 0.0975 d2.dn_loss_bbox: 0.1711 d2.dn_loss_iou: 0.2309 d3.dn_loss_cls: 0.0861 d3.dn_loss_bbox: 0.1636 d3.dn_loss_iou: 0.2240 d4.dn_loss_cls: 0.0835 d4.dn_loss_bbox: 0.1636 d4.dn_loss_iou: 0.2232 d1.loss_lmm_region: 0.1127 loss_lmm_image: 0.6391 +2024/11/08 19:07:25 - mmengine - INFO - Iter(train) [128200/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:19:32 time: 1.0262 data_time: 0.0188 memory: 23655 grad_norm: 20.2581 loss: 7.9924 loss_cls: 0.2772 loss_bbox: 0.0966 loss_iou: 0.1973 d0.loss_cls: 0.3071 d0.loss_bbox: 0.1144 d0.loss_iou: 0.2168 d1.loss_cls: 0.2944 d1.loss_bbox: 0.1002 d1.loss_iou: 0.2030 d2.loss_cls: 0.2892 d2.loss_bbox: 0.0976 d2.loss_iou: 0.1976 d3.loss_cls: 0.2826 d3.loss_bbox: 0.0964 d3.loss_iou: 0.1966 d4.loss_cls: 0.2783 d4.loss_bbox: 0.0967 d4.loss_iou: 0.1979 enc_loss_cls: 0.3220 enc_loss_bbox: 0.1240 enc_loss_iou: 0.2322 dn_loss_cls: 0.0873 dn_loss_bbox: 0.1341 dn_loss_iou: 0.1878 d0.dn_loss_cls: 0.1699 d0.dn_loss_bbox: 0.2784 d0.dn_loss_iou: 0.3236 d1.dn_loss_cls: 0.1147 d1.dn_loss_bbox: 0.1643 d1.dn_loss_iou: 0.2167 d2.dn_loss_cls: 0.1044 d2.dn_loss_bbox: 0.1431 d2.dn_loss_iou: 0.1956 d3.dn_loss_cls: 0.0932 d3.dn_loss_bbox: 0.1353 d3.dn_loss_iou: 0.1889 d4.dn_loss_cls: 0.0893 d4.dn_loss_bbox: 0.1343 d4.dn_loss_iou: 0.1878 d1.loss_lmm_region: 0.1074 loss_lmm_image: 0.7179 +2024/11/08 19:09:08 - mmengine - INFO - Iter(train) [128300/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:17:47 time: 1.0234 data_time: 0.0187 memory: 23818 grad_norm: 19.9315 loss: 9.8190 loss_cls: 0.2947 loss_bbox: 0.1662 loss_iou: 0.2889 d0.loss_cls: 0.3204 d0.loss_bbox: 0.1906 d0.loss_iou: 0.3187 d1.loss_cls: 0.3086 d1.loss_bbox: 0.1775 d1.loss_iou: 0.3004 d2.loss_cls: 0.3065 d2.loss_bbox: 0.1668 d2.loss_iou: 0.2917 d3.loss_cls: 0.3004 d3.loss_bbox: 0.1650 d3.loss_iou: 0.2896 d4.loss_cls: 0.2962 d4.loss_bbox: 0.1650 d4.loss_iou: 0.2893 enc_loss_cls: 0.3416 enc_loss_bbox: 0.2030 enc_loss_iou: 0.3350 dn_loss_cls: 0.0710 dn_loss_bbox: 0.1812 dn_loss_iou: 0.2373 d0.dn_loss_cls: 0.1509 d0.dn_loss_bbox: 0.3361 d0.dn_loss_iou: 0.3835 d1.dn_loss_cls: 0.1022 d1.dn_loss_bbox: 0.2143 d1.dn_loss_iou: 0.2694 d2.dn_loss_cls: 0.0843 d2.dn_loss_bbox: 0.1863 d2.dn_loss_iou: 0.2451 d3.dn_loss_cls: 0.0771 d3.dn_loss_bbox: 0.1803 d3.dn_loss_iou: 0.2380 d4.dn_loss_cls: 0.0731 d4.dn_loss_bbox: 0.1812 d4.dn_loss_iou: 0.2374 d1.loss_lmm_region: 0.1264 loss_lmm_image: 0.7275 +2024/11/08 19:10:50 - mmengine - INFO - Iter(train) [128400/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:16:02 time: 1.0212 data_time: 0.0188 memory: 23735 grad_norm: 22.9378 loss: 8.8308 loss_cls: 0.2888 loss_bbox: 0.1276 loss_iou: 0.2584 d0.loss_cls: 0.3190 d0.loss_bbox: 0.1383 d0.loss_iou: 0.2697 d1.loss_cls: 0.3044 d1.loss_bbox: 0.1291 d1.loss_iou: 0.2647 d2.loss_cls: 0.3012 d2.loss_bbox: 0.1275 d2.loss_iou: 0.2599 d3.loss_cls: 0.2936 d3.loss_bbox: 0.1315 d3.loss_iou: 0.2588 d4.loss_cls: 0.2885 d4.loss_bbox: 0.1294 d4.loss_iou: 0.2599 enc_loss_cls: 0.3411 enc_loss_bbox: 0.1500 enc_loss_iou: 0.2907 dn_loss_cls: 0.0633 dn_loss_bbox: 0.1588 dn_loss_iou: 0.2140 d0.dn_loss_cls: 0.1489 d0.dn_loss_bbox: 0.2985 d0.dn_loss_iou: 0.3522 d1.dn_loss_cls: 0.0924 d1.dn_loss_bbox: 0.1840 d1.dn_loss_iou: 0.2428 d2.dn_loss_cls: 0.0777 d2.dn_loss_bbox: 0.1642 d2.dn_loss_iou: 0.2199 d3.dn_loss_cls: 0.0687 d3.dn_loss_bbox: 0.1592 d3.dn_loss_iou: 0.2148 d4.dn_loss_cls: 0.0641 d4.dn_loss_bbox: 0.1588 d4.dn_loss_iou: 0.2140 d1.loss_lmm_region: 0.0899 loss_lmm_image: 0.7125 +2024/11/08 19:12:33 - mmengine - INFO - Iter(train) [128500/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:14:17 time: 1.0274 data_time: 0.0188 memory: 23191 grad_norm: 22.6603 loss: 8.0787 loss_cls: 0.2370 loss_bbox: 0.1315 loss_iou: 0.2144 d0.loss_cls: 0.2720 d0.loss_bbox: 0.1413 d0.loss_iou: 0.2316 d1.loss_cls: 0.2572 d1.loss_bbox: 0.1336 d1.loss_iou: 0.2187 d2.loss_cls: 0.2468 d2.loss_bbox: 0.1308 d2.loss_iou: 0.2157 d3.loss_cls: 0.2479 d3.loss_bbox: 0.1282 d3.loss_iou: 0.2125 d4.loss_cls: 0.2435 d4.loss_bbox: 0.1276 d4.loss_iou: 0.2125 enc_loss_cls: 0.2897 enc_loss_bbox: 0.1450 enc_loss_iou: 0.2413 dn_loss_cls: 0.0686 dn_loss_bbox: 0.1570 dn_loss_iou: 0.1917 d0.dn_loss_cls: 0.1417 d0.dn_loss_bbox: 0.2982 d0.dn_loss_iou: 0.3305 d1.dn_loss_cls: 0.0920 d1.dn_loss_bbox: 0.1827 d1.dn_loss_iou: 0.2190 d2.dn_loss_cls: 0.0777 d2.dn_loss_bbox: 0.1627 d2.dn_loss_iou: 0.1990 d3.dn_loss_cls: 0.0715 d3.dn_loss_bbox: 0.1579 d3.dn_loss_iou: 0.1935 d4.dn_loss_cls: 0.0688 d4.dn_loss_bbox: 0.1571 d4.dn_loss_iou: 0.1919 d1.loss_lmm_region: 0.1094 loss_lmm_image: 0.7290 +2024/11/08 19:14:15 - mmengine - INFO - Iter(train) [128600/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:12:32 time: 1.0271 data_time: 0.0187 memory: 24111 grad_norm: 24.7632 loss: 9.7172 loss_cls: 0.2918 loss_bbox: 0.1554 loss_iou: 0.2802 d0.loss_cls: 0.3264 d0.loss_bbox: 0.1711 d0.loss_iou: 0.2997 d1.loss_cls: 0.3139 d1.loss_bbox: 0.1572 d1.loss_iou: 0.2822 d2.loss_cls: 0.3037 d2.loss_bbox: 0.1580 d2.loss_iou: 0.2834 d3.loss_cls: 0.2977 d3.loss_bbox: 0.1576 d3.loss_iou: 0.2827 d4.loss_cls: 0.2924 d4.loss_bbox: 0.1552 d4.loss_iou: 0.2802 enc_loss_cls: 0.3501 enc_loss_bbox: 0.1820 enc_loss_iou: 0.3150 dn_loss_cls: 0.0835 dn_loss_bbox: 0.1898 dn_loss_iou: 0.2412 d0.dn_loss_cls: 0.1742 d0.dn_loss_bbox: 0.3347 d0.dn_loss_iou: 0.3844 d1.dn_loss_cls: 0.1189 d1.dn_loss_bbox: 0.2230 d1.dn_loss_iou: 0.2717 d2.dn_loss_cls: 0.1033 d2.dn_loss_bbox: 0.1990 d2.dn_loss_iou: 0.2495 d3.dn_loss_cls: 0.0878 d3.dn_loss_bbox: 0.1925 d3.dn_loss_iou: 0.2427 d4.dn_loss_cls: 0.0838 d4.dn_loss_bbox: 0.1898 d4.dn_loss_iou: 0.2413 d1.loss_lmm_region: 0.1090 loss_lmm_image: 0.6610 +2024/11/08 19:15:58 - mmengine - INFO - Iter(train) [128700/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:10:48 time: 1.0309 data_time: 0.0188 memory: 23801 grad_norm: 22.1920 loss: 8.5105 loss_cls: 0.2414 loss_bbox: 0.1367 loss_iou: 0.2261 d0.loss_cls: 0.2708 d0.loss_bbox: 0.1576 d0.loss_iou: 0.2406 d1.loss_cls: 0.2611 d1.loss_bbox: 0.1434 d1.loss_iou: 0.2298 d2.loss_cls: 0.2511 d2.loss_bbox: 0.1375 d2.loss_iou: 0.2266 d3.loss_cls: 0.2463 d3.loss_bbox: 0.1394 d3.loss_iou: 0.2284 d4.loss_cls: 0.2445 d4.loss_bbox: 0.1360 d4.loss_iou: 0.2261 enc_loss_cls: 0.2862 enc_loss_bbox: 0.1721 enc_loss_iou: 0.2594 dn_loss_cls: 0.0648 dn_loss_bbox: 0.1786 dn_loss_iou: 0.2078 d0.dn_loss_cls: 0.1457 d0.dn_loss_bbox: 0.3261 d0.dn_loss_iou: 0.3503 d1.dn_loss_cls: 0.0940 d1.dn_loss_bbox: 0.2088 d1.dn_loss_iou: 0.2396 d2.dn_loss_cls: 0.0792 d2.dn_loss_bbox: 0.1862 d2.dn_loss_iou: 0.2164 d3.dn_loss_cls: 0.0712 d3.dn_loss_bbox: 0.1792 d3.dn_loss_iou: 0.2092 d4.dn_loss_cls: 0.0658 d4.dn_loss_bbox: 0.1786 d4.dn_loss_iou: 0.2078 d1.loss_lmm_region: 0.1100 loss_lmm_image: 0.7302 +2024/11/08 19:17:42 - mmengine - INFO - Iter(train) [128800/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:09:03 time: 1.0333 data_time: 0.0189 memory: 23134 grad_norm: 26.1616 loss: 8.3795 loss_cls: 0.3055 loss_bbox: 0.1071 loss_iou: 0.2282 d0.loss_cls: 0.3400 d0.loss_bbox: 0.1208 d0.loss_iou: 0.2475 d1.loss_cls: 0.3205 d1.loss_bbox: 0.1132 d1.loss_iou: 0.2378 d2.loss_cls: 0.3149 d2.loss_bbox: 0.1064 d2.loss_iou: 0.2303 d3.loss_cls: 0.3079 d3.loss_bbox: 0.1078 d3.loss_iou: 0.2299 d4.loss_cls: 0.3068 d4.loss_bbox: 0.1061 d4.loss_iou: 0.2273 enc_loss_cls: 0.3486 enc_loss_bbox: 0.1330 enc_loss_iou: 0.2677 dn_loss_cls: 0.0770 dn_loss_bbox: 0.1284 dn_loss_iou: 0.1928 d0.dn_loss_cls: 0.1509 d0.dn_loss_bbox: 0.2681 d0.dn_loss_iou: 0.3342 d1.dn_loss_cls: 0.1035 d1.dn_loss_bbox: 0.1605 d1.dn_loss_iou: 0.2250 d2.dn_loss_cls: 0.0896 d2.dn_loss_bbox: 0.1364 d2.dn_loss_iou: 0.2005 d3.dn_loss_cls: 0.0826 d3.dn_loss_bbox: 0.1298 d3.dn_loss_iou: 0.1941 d4.dn_loss_cls: 0.0772 d4.dn_loss_bbox: 0.1285 d4.dn_loss_iou: 0.1928 d1.loss_lmm_region: 0.0839 loss_lmm_image: 0.7166 +2024/11/08 19:19:24 - mmengine - INFO - Iter(train) [128900/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:07:18 time: 1.0258 data_time: 0.0188 memory: 23662 grad_norm: 20.5306 loss: 8.9622 loss_cls: 0.2676 loss_bbox: 0.1343 loss_iou: 0.2727 d0.loss_cls: 0.3013 d0.loss_bbox: 0.1437 d0.loss_iou: 0.2832 d1.loss_cls: 0.2877 d1.loss_bbox: 0.1347 d1.loss_iou: 0.2760 d2.loss_cls: 0.2754 d2.loss_bbox: 0.1379 d2.loss_iou: 0.2750 d3.loss_cls: 0.2715 d3.loss_bbox: 0.1365 d3.loss_iou: 0.2716 d4.loss_cls: 0.2683 d4.loss_bbox: 0.1331 d4.loss_iou: 0.2728 enc_loss_cls: 0.3258 enc_loss_bbox: 0.1497 enc_loss_iou: 0.2988 dn_loss_cls: 0.0690 dn_loss_bbox: 0.1487 dn_loss_iou: 0.2122 d0.dn_loss_cls: 0.1681 d0.dn_loss_bbox: 0.3145 d0.dn_loss_iou: 0.3601 d1.dn_loss_cls: 0.1096 d1.dn_loss_bbox: 0.1862 d1.dn_loss_iou: 0.2463 d2.dn_loss_cls: 0.0902 d2.dn_loss_bbox: 0.1600 d2.dn_loss_iou: 0.2217 d3.dn_loss_cls: 0.0776 d3.dn_loss_bbox: 0.1495 d3.dn_loss_iou: 0.2136 d4.dn_loss_cls: 0.0698 d4.dn_loss_bbox: 0.1487 d4.dn_loss_iou: 0.2122 d1.loss_lmm_region: 0.1207 loss_lmm_image: 0.7658 +2024/11/08 19:21:08 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/08 19:21:08 - mmengine - INFO - Iter(train) [129000/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:05:34 time: 1.0280 data_time: 0.0188 memory: 23953 grad_norm: 18.7146 loss: 8.7198 loss_cls: 0.2905 loss_bbox: 0.1192 loss_iou: 0.2477 d0.loss_cls: 0.3278 d0.loss_bbox: 0.1343 d0.loss_iou: 0.2657 d1.loss_cls: 0.3076 d1.loss_bbox: 0.1267 d1.loss_iou: 0.2577 d2.loss_cls: 0.3028 d2.loss_bbox: 0.1201 d2.loss_iou: 0.2510 d3.loss_cls: 0.2986 d3.loss_bbox: 0.1179 d3.loss_iou: 0.2471 d4.loss_cls: 0.2923 d4.loss_bbox: 0.1191 d4.loss_iou: 0.2492 enc_loss_cls: 0.3440 enc_loss_bbox: 0.1468 enc_loss_iou: 0.2825 dn_loss_cls: 0.0725 dn_loss_bbox: 0.1407 dn_loss_iou: 0.2138 d0.dn_loss_cls: 0.1573 d0.dn_loss_bbox: 0.2861 d0.dn_loss_iou: 0.3671 d1.dn_loss_cls: 0.1016 d1.dn_loss_bbox: 0.1770 d1.dn_loss_iou: 0.2490 d2.dn_loss_cls: 0.0850 d2.dn_loss_bbox: 0.1510 d2.dn_loss_iou: 0.2232 d3.dn_loss_cls: 0.0761 d3.dn_loss_bbox: 0.1424 d3.dn_loss_iou: 0.2153 d4.dn_loss_cls: 0.0725 d4.dn_loss_bbox: 0.1408 d4.dn_loss_iou: 0.2138 d1.loss_lmm_region: 0.1090 loss_lmm_image: 0.6771 +2024/11/08 19:22:51 - mmengine - INFO - Iter(train) [129100/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:03:49 time: 1.0264 data_time: 0.0187 memory: 23900 grad_norm: 23.3836 loss: 8.9974 loss_cls: 0.2806 loss_bbox: 0.1425 loss_iou: 0.2804 d0.loss_cls: 0.3130 d0.loss_bbox: 0.1524 d0.loss_iou: 0.2914 d1.loss_cls: 0.3029 d1.loss_bbox: 0.1454 d1.loss_iou: 0.2797 d2.loss_cls: 0.2921 d2.loss_bbox: 0.1400 d2.loss_iou: 0.2767 d3.loss_cls: 0.2854 d3.loss_bbox: 0.1434 d3.loss_iou: 0.2799 d4.loss_cls: 0.2797 d4.loss_bbox: 0.1424 d4.loss_iou: 0.2800 enc_loss_cls: 0.3337 enc_loss_bbox: 0.1627 enc_loss_iou: 0.3069 dn_loss_cls: 0.0636 dn_loss_bbox: 0.1519 dn_loss_iou: 0.2158 d0.dn_loss_cls: 0.1478 d0.dn_loss_bbox: 0.2854 d0.dn_loss_iou: 0.3485 d1.dn_loss_cls: 0.0913 d1.dn_loss_bbox: 0.1835 d1.dn_loss_iou: 0.2449 d2.dn_loss_cls: 0.0757 d2.dn_loss_bbox: 0.1594 d2.dn_loss_iou: 0.2223 d3.dn_loss_cls: 0.0679 d3.dn_loss_bbox: 0.1530 d3.dn_loss_iou: 0.2167 d4.dn_loss_cls: 0.0640 d4.dn_loss_bbox: 0.1520 d4.dn_loss_iou: 0.2158 d1.loss_lmm_region: 0.0965 loss_lmm_image: 0.7302 +2024/11/08 19:24:33 - mmengine - INFO - Iter(train) [129200/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:02:04 time: 1.0327 data_time: 0.0188 memory: 23618 grad_norm: 21.5051 loss: 9.3459 loss_cls: 0.2839 loss_bbox: 0.1534 loss_iou: 0.2726 d0.loss_cls: 0.3158 d0.loss_bbox: 0.1625 d0.loss_iou: 0.2835 d1.loss_cls: 0.3010 d1.loss_bbox: 0.1544 d1.loss_iou: 0.2767 d2.loss_cls: 0.2934 d2.loss_bbox: 0.1541 d2.loss_iou: 0.2729 d3.loss_cls: 0.2838 d3.loss_bbox: 0.1573 d3.loss_iou: 0.2758 d4.loss_cls: 0.2843 d4.loss_bbox: 0.1542 d4.loss_iou: 0.2728 enc_loss_cls: 0.3299 enc_loss_bbox: 0.1740 enc_loss_iou: 0.2997 dn_loss_cls: 0.0787 dn_loss_bbox: 0.1718 dn_loss_iou: 0.2386 d0.dn_loss_cls: 0.1605 d0.dn_loss_bbox: 0.3147 d0.dn_loss_iou: 0.3874 d1.dn_loss_cls: 0.1075 d1.dn_loss_bbox: 0.1994 d1.dn_loss_iou: 0.2679 d2.dn_loss_cls: 0.0933 d2.dn_loss_bbox: 0.1811 d2.dn_loss_iou: 0.2468 d3.dn_loss_cls: 0.0839 d3.dn_loss_bbox: 0.1730 d3.dn_loss_iou: 0.2400 d4.dn_loss_cls: 0.0792 d4.dn_loss_bbox: 0.1719 d4.dn_loss_iou: 0.2386 d1.loss_lmm_region: 0.1084 loss_lmm_image: 0.6470 +2024/11/08 19:26:15 - mmengine - INFO - Iter(train) [129300/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:00:20 time: 1.0267 data_time: 0.0190 memory: 22669 grad_norm: 19.2303 loss: 9.0519 loss_cls: 0.2814 loss_bbox: 0.1353 loss_iou: 0.2573 d0.loss_cls: 0.3190 d0.loss_bbox: 0.1492 d0.loss_iou: 0.2737 d1.loss_cls: 0.3047 d1.loss_bbox: 0.1380 d1.loss_iou: 0.2586 d2.loss_cls: 0.2937 d2.loss_bbox: 0.1345 d2.loss_iou: 0.2575 d3.loss_cls: 0.2890 d3.loss_bbox: 0.1356 d3.loss_iou: 0.2556 d4.loss_cls: 0.2836 d4.loss_bbox: 0.1349 d4.loss_iou: 0.2564 enc_loss_cls: 0.3280 enc_loss_bbox: 0.1580 enc_loss_iou: 0.2896 dn_loss_cls: 0.0910 dn_loss_bbox: 0.1609 dn_loss_iou: 0.2163 d0.dn_loss_cls: 0.1708 d0.dn_loss_bbox: 0.3201 d0.dn_loss_iou: 0.3713 d1.dn_loss_cls: 0.1246 d1.dn_loss_bbox: 0.1930 d1.dn_loss_iou: 0.2498 d2.dn_loss_cls: 0.1085 d2.dn_loss_bbox: 0.1703 d2.dn_loss_iou: 0.2263 d3.dn_loss_cls: 0.0981 d3.dn_loss_bbox: 0.1628 d3.dn_loss_iou: 0.2181 d4.dn_loss_cls: 0.0932 d4.dn_loss_bbox: 0.1610 d4.dn_loss_iou: 0.2163 d1.loss_lmm_region: 0.1022 loss_lmm_image: 0.6636 +2024/11/08 19:27:58 - mmengine - INFO - Iter(train) [129400/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:58:35 time: 1.0243 data_time: 0.0188 memory: 23532 grad_norm: 18.9560 loss: 9.1401 loss_cls: 0.2914 loss_bbox: 0.1398 loss_iou: 0.2576 d0.loss_cls: 0.3265 d0.loss_bbox: 0.1466 d0.loss_iou: 0.2653 d1.loss_cls: 0.3099 d1.loss_bbox: 0.1382 d1.loss_iou: 0.2556 d2.loss_cls: 0.3043 d2.loss_bbox: 0.1379 d2.loss_iou: 0.2547 d3.loss_cls: 0.2974 d3.loss_bbox: 0.1403 d3.loss_iou: 0.2572 d4.loss_cls: 0.2906 d4.loss_bbox: 0.1409 d4.loss_iou: 0.2576 enc_loss_cls: 0.3433 enc_loss_bbox: 0.1571 enc_loss_iou: 0.2786 dn_loss_cls: 0.0751 dn_loss_bbox: 0.1640 dn_loss_iou: 0.2251 d0.dn_loss_cls: 0.1627 d0.dn_loss_bbox: 0.3214 d0.dn_loss_iou: 0.3751 d1.dn_loss_cls: 0.1073 d1.dn_loss_bbox: 0.2041 d1.dn_loss_iou: 0.2606 d2.dn_loss_cls: 0.0897 d2.dn_loss_bbox: 0.1744 d2.dn_loss_iou: 0.2344 d3.dn_loss_cls: 0.0807 d3.dn_loss_bbox: 0.1650 d3.dn_loss_iou: 0.2263 d4.dn_loss_cls: 0.0753 d4.dn_loss_bbox: 0.1640 d4.dn_loss_iou: 0.2250 d1.loss_lmm_region: 0.1178 loss_lmm_image: 0.7010 +2024/11/08 19:29:40 - mmengine - INFO - Iter(train) [129500/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:56:50 time: 1.0202 data_time: 0.0188 memory: 23206 grad_norm: 18.6206 loss: 7.8973 loss_cls: 0.2344 loss_bbox: 0.1163 loss_iou: 0.1991 d0.loss_cls: 0.2607 d0.loss_bbox: 0.1261 d0.loss_iou: 0.2126 d1.loss_cls: 0.2451 d1.loss_bbox: 0.1214 d1.loss_iou: 0.2058 d2.loss_cls: 0.2387 d2.loss_bbox: 0.1177 d2.loss_iou: 0.2015 d3.loss_cls: 0.2367 d3.loss_bbox: 0.1182 d3.loss_iou: 0.2008 d4.loss_cls: 0.2340 d4.loss_bbox: 0.1171 d4.loss_iou: 0.1995 enc_loss_cls: 0.2820 enc_loss_bbox: 0.1364 enc_loss_iou: 0.2252 dn_loss_cls: 0.0671 dn_loss_bbox: 0.1599 dn_loss_iou: 0.2017 d0.dn_loss_cls: 0.1473 d0.dn_loss_bbox: 0.2903 d0.dn_loss_iou: 0.3313 d1.dn_loss_cls: 0.0958 d1.dn_loss_bbox: 0.1932 d1.dn_loss_iou: 0.2300 d2.dn_loss_cls: 0.0811 d2.dn_loss_bbox: 0.1695 d2.dn_loss_iou: 0.2091 d3.dn_loss_cls: 0.0717 d3.dn_loss_bbox: 0.1617 d3.dn_loss_iou: 0.2031 d4.dn_loss_cls: 0.0681 d4.dn_loss_bbox: 0.1599 d4.dn_loss_iou: 0.2018 d1.loss_lmm_region: 0.1025 loss_lmm_image: 0.7233 +2024/11/08 19:31:21 - mmengine - INFO - Iter(train) [129600/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:55:05 time: 1.0165 data_time: 0.0188 memory: 22848 grad_norm: 20.5879 loss: 8.8884 loss_cls: 0.2946 loss_bbox: 0.1318 loss_iou: 0.2559 d0.loss_cls: 0.3218 d0.loss_bbox: 0.1482 d0.loss_iou: 0.2703 d1.loss_cls: 0.3094 d1.loss_bbox: 0.1367 d1.loss_iou: 0.2606 d2.loss_cls: 0.3033 d2.loss_bbox: 0.1332 d2.loss_iou: 0.2559 d3.loss_cls: 0.2986 d3.loss_bbox: 0.1321 d3.loss_iou: 0.2540 d4.loss_cls: 0.2957 d4.loss_bbox: 0.1316 d4.loss_iou: 0.2555 enc_loss_cls: 0.3452 enc_loss_bbox: 0.1603 enc_loss_iou: 0.2856 dn_loss_cls: 0.0883 dn_loss_bbox: 0.1522 dn_loss_iou: 0.2038 d0.dn_loss_cls: 0.1660 d0.dn_loss_bbox: 0.2946 d0.dn_loss_iou: 0.3407 d1.dn_loss_cls: 0.1194 d1.dn_loss_bbox: 0.1874 d1.dn_loss_iou: 0.2360 d2.dn_loss_cls: 0.0990 d2.dn_loss_bbox: 0.1604 d2.dn_loss_iou: 0.2124 d3.dn_loss_cls: 0.0913 d3.dn_loss_bbox: 0.1533 d3.dn_loss_iou: 0.2048 d4.dn_loss_cls: 0.0877 d4.dn_loss_bbox: 0.1524 d4.dn_loss_iou: 0.2039 d1.loss_lmm_region: 0.0993 loss_lmm_image: 0.6552 +2024/11/08 19:33:04 - mmengine - INFO - Iter(train) [129700/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:53:20 time: 1.0267 data_time: 0.0186 memory: 23677 grad_norm: 19.9160 loss: 9.0478 loss_cls: 0.2820 loss_bbox: 0.1411 loss_iou: 0.2690 d0.loss_cls: 0.3183 d0.loss_bbox: 0.1605 d0.loss_iou: 0.2867 d1.loss_cls: 0.2989 d1.loss_bbox: 0.1441 d1.loss_iou: 0.2756 d2.loss_cls: 0.2951 d2.loss_bbox: 0.1403 d2.loss_iou: 0.2679 d3.loss_cls: 0.2892 d3.loss_bbox: 0.1420 d3.loss_iou: 0.2702 d4.loss_cls: 0.2844 d4.loss_bbox: 0.1418 d4.loss_iou: 0.2683 enc_loss_cls: 0.3329 enc_loss_bbox: 0.1785 enc_loss_iou: 0.3071 dn_loss_cls: 0.0856 dn_loss_bbox: 0.1477 dn_loss_iou: 0.2056 d0.dn_loss_cls: 0.1722 d0.dn_loss_bbox: 0.2911 d0.dn_loss_iou: 0.3456 d1.dn_loss_cls: 0.1203 d1.dn_loss_bbox: 0.1844 d1.dn_loss_iou: 0.2378 d2.dn_loss_cls: 0.1009 d2.dn_loss_bbox: 0.1561 d2.dn_loss_iou: 0.2130 d3.dn_loss_cls: 0.0910 d3.dn_loss_bbox: 0.1478 d3.dn_loss_iou: 0.2062 d4.dn_loss_cls: 0.0856 d4.dn_loss_bbox: 0.1476 d4.dn_loss_iou: 0.2054 d1.loss_lmm_region: 0.1127 loss_lmm_image: 0.6974 +2024/11/08 19:34:48 - mmengine - INFO - Iter(train) [129800/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:51:36 time: 1.0323 data_time: 0.0188 memory: 23630 grad_norm: 22.2531 loss: 7.9374 loss_cls: 0.2323 loss_bbox: 0.1185 loss_iou: 0.2212 d0.loss_cls: 0.2625 d0.loss_bbox: 0.1305 d0.loss_iou: 0.2312 d1.loss_cls: 0.2483 d1.loss_bbox: 0.1219 d1.loss_iou: 0.2232 d2.loss_cls: 0.2411 d2.loss_bbox: 0.1163 d2.loss_iou: 0.2177 d3.loss_cls: 0.2374 d3.loss_bbox: 0.1189 d3.loss_iou: 0.2203 d4.loss_cls: 0.2352 d4.loss_bbox: 0.1166 d4.loss_iou: 0.2199 enc_loss_cls: 0.2822 enc_loss_bbox: 0.1395 enc_loss_iou: 0.2448 dn_loss_cls: 0.0708 dn_loss_bbox: 0.1489 dn_loss_iou: 0.1976 d0.dn_loss_cls: 0.1476 d0.dn_loss_bbox: 0.2800 d0.dn_loss_iou: 0.3292 d1.dn_loss_cls: 0.0949 d1.dn_loss_bbox: 0.1749 d1.dn_loss_iou: 0.2243 d2.dn_loss_cls: 0.0780 d2.dn_loss_bbox: 0.1540 d2.dn_loss_iou: 0.2033 d3.dn_loss_cls: 0.0724 d3.dn_loss_bbox: 0.1497 d3.dn_loss_iou: 0.1989 d4.dn_loss_cls: 0.0713 d4.dn_loss_bbox: 0.1489 d4.dn_loss_iou: 0.1975 d1.loss_lmm_region: 0.0999 loss_lmm_image: 0.7156 +2024/11/08 19:36:30 - mmengine - INFO - Iter(train) [129900/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:49:51 time: 1.0171 data_time: 0.0188 memory: 24246 grad_norm: 22.0643 loss: 9.0078 loss_cls: 0.3060 loss_bbox: 0.1307 loss_iou: 0.2296 d0.loss_cls: 0.3386 d0.loss_bbox: 0.1427 d0.loss_iou: 0.2472 d1.loss_cls: 0.3186 d1.loss_bbox: 0.1378 d1.loss_iou: 0.2420 d2.loss_cls: 0.3144 d2.loss_bbox: 0.1329 d2.loss_iou: 0.2321 d3.loss_cls: 0.3128 d3.loss_bbox: 0.1307 d3.loss_iou: 0.2285 d4.loss_cls: 0.3055 d4.loss_bbox: 0.1309 d4.loss_iou: 0.2296 enc_loss_cls: 0.3512 enc_loss_bbox: 0.1521 enc_loss_iou: 0.2606 dn_loss_cls: 0.0865 dn_loss_bbox: 0.1771 dn_loss_iou: 0.2065 d0.dn_loss_cls: 0.1693 d0.dn_loss_bbox: 0.3346 d0.dn_loss_iou: 0.3437 d1.dn_loss_cls: 0.1176 d1.dn_loss_bbox: 0.2114 d1.dn_loss_iou: 0.2334 d2.dn_loss_cls: 0.0993 d2.dn_loss_bbox: 0.1862 d2.dn_loss_iou: 0.2137 d3.dn_loss_cls: 0.0907 d3.dn_loss_bbox: 0.1780 d3.dn_loss_iou: 0.2076 d4.dn_loss_cls: 0.0864 d4.dn_loss_bbox: 0.1772 d4.dn_loss_iou: 0.2066 d1.loss_lmm_region: 0.1086 loss_lmm_image: 0.6992 +2024/11/08 19:38:13 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/08 19:38:13 - mmengine - INFO - Iter(train) [130000/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:48:06 time: 1.0230 data_time: 0.0188 memory: 24521 grad_norm: 20.2535 loss: 7.9739 loss_cls: 0.2582 loss_bbox: 0.1076 loss_iou: 0.1985 d0.loss_cls: 0.2767 d0.loss_bbox: 0.1243 d0.loss_iou: 0.2194 d1.loss_cls: 0.2732 d1.loss_bbox: 0.1105 d1.loss_iou: 0.2052 d2.loss_cls: 0.2651 d2.loss_bbox: 0.1083 d2.loss_iou: 0.1997 d3.loss_cls: 0.2655 d3.loss_bbox: 0.1054 d3.loss_iou: 0.1985 d4.loss_cls: 0.2615 d4.loss_bbox: 0.1061 d4.loss_iou: 0.1984 enc_loss_cls: 0.2893 enc_loss_bbox: 0.1309 enc_loss_iou: 0.2328 dn_loss_cls: 0.0795 dn_loss_bbox: 0.1423 dn_loss_iou: 0.1929 d0.dn_loss_cls: 0.1756 d0.dn_loss_bbox: 0.2941 d0.dn_loss_iou: 0.3309 d1.dn_loss_cls: 0.1124 d1.dn_loss_bbox: 0.1722 d1.dn_loss_iou: 0.2188 d2.dn_loss_cls: 0.0961 d2.dn_loss_bbox: 0.1502 d2.dn_loss_iou: 0.1997 d3.dn_loss_cls: 0.0831 d3.dn_loss_bbox: 0.1440 d3.dn_loss_iou: 0.1942 d4.dn_loss_cls: 0.0802 d4.dn_loss_bbox: 0.1424 d4.dn_loss_iou: 0.1929 d1.loss_lmm_region: 0.1140 loss_lmm_image: 0.7237 +2024/11/08 19:39:55 - mmengine - INFO - Iter(train) [130100/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:46:22 time: 1.0244 data_time: 0.0187 memory: 23645 grad_norm: 19.3476 loss: 9.3809 loss_cls: 0.2660 loss_bbox: 0.1444 loss_iou: 0.2768 d0.loss_cls: 0.2992 d0.loss_bbox: 0.1554 d0.loss_iou: 0.2964 d1.loss_cls: 0.2905 d1.loss_bbox: 0.1484 d1.loss_iou: 0.2834 d2.loss_cls: 0.2797 d2.loss_bbox: 0.1450 d2.loss_iou: 0.2796 d3.loss_cls: 0.2689 d3.loss_bbox: 0.1463 d3.loss_iou: 0.2806 d4.loss_cls: 0.2667 d4.loss_bbox: 0.1447 d4.loss_iou: 0.2810 enc_loss_cls: 0.3220 enc_loss_bbox: 0.1652 enc_loss_iou: 0.3052 dn_loss_cls: 0.0773 dn_loss_bbox: 0.1739 dn_loss_iou: 0.2497 d0.dn_loss_cls: 0.1635 d0.dn_loss_bbox: 0.3205 d0.dn_loss_iou: 0.3954 d1.dn_loss_cls: 0.1110 d1.dn_loss_bbox: 0.2047 d1.dn_loss_iou: 0.2821 d2.dn_loss_cls: 0.0958 d2.dn_loss_bbox: 0.1821 d2.dn_loss_iou: 0.2573 d3.dn_loss_cls: 0.0857 d3.dn_loss_bbox: 0.1744 d3.dn_loss_iou: 0.2505 d4.dn_loss_cls: 0.0782 d4.dn_loss_bbox: 0.1738 d4.dn_loss_iou: 0.2496 d1.loss_lmm_region: 0.1064 loss_lmm_image: 0.7034 +2024/11/08 19:41:38 - mmengine - INFO - Iter(train) [130200/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:44:37 time: 1.0205 data_time: 0.0187 memory: 23137 grad_norm: 25.7245 loss: 8.7700 loss_cls: 0.2455 loss_bbox: 0.1338 loss_iou: 0.2467 d0.loss_cls: 0.2782 d0.loss_bbox: 0.1388 d0.loss_iou: 0.2600 d1.loss_cls: 0.2619 d1.loss_bbox: 0.1360 d1.loss_iou: 0.2548 d2.loss_cls: 0.2545 d2.loss_bbox: 0.1326 d2.loss_iou: 0.2459 d3.loss_cls: 0.2537 d3.loss_bbox: 0.1299 d3.loss_iou: 0.2446 d4.loss_cls: 0.2472 d4.loss_bbox: 0.1322 d4.loss_iou: 0.2461 enc_loss_cls: 0.2955 enc_loss_bbox: 0.1499 enc_loss_iou: 0.2775 dn_loss_cls: 0.0624 dn_loss_bbox: 0.1760 dn_loss_iou: 0.2382 d0.dn_loss_cls: 0.1655 d0.dn_loss_bbox: 0.3513 d0.dn_loss_iou: 0.4012 d1.dn_loss_cls: 0.1002 d1.dn_loss_bbox: 0.2124 d1.dn_loss_iou: 0.2704 d2.dn_loss_cls: 0.0788 d2.dn_loss_bbox: 0.1844 d2.dn_loss_iou: 0.2455 d3.dn_loss_cls: 0.0695 d3.dn_loss_bbox: 0.1772 d3.dn_loss_iou: 0.2398 d4.dn_loss_cls: 0.0639 d4.dn_loss_bbox: 0.1756 d4.dn_loss_iou: 0.2380 d1.loss_lmm_region: 0.1051 loss_lmm_image: 0.6495 +2024/11/08 19:43:20 - mmengine - INFO - Iter(train) [130300/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:42:52 time: 1.0218 data_time: 0.0187 memory: 23707 grad_norm: 19.9557 loss: 9.3954 loss_cls: 0.2766 loss_bbox: 0.1533 loss_iou: 0.2701 d0.loss_cls: 0.3161 d0.loss_bbox: 0.1681 d0.loss_iou: 0.2878 d1.loss_cls: 0.2979 d1.loss_bbox: 0.1544 d1.loss_iou: 0.2763 d2.loss_cls: 0.2885 d2.loss_bbox: 0.1505 d2.loss_iou: 0.2720 d3.loss_cls: 0.2834 d3.loss_bbox: 0.1524 d3.loss_iou: 0.2715 d4.loss_cls: 0.2780 d4.loss_bbox: 0.1523 d4.loss_iou: 0.2693 enc_loss_cls: 0.3394 enc_loss_bbox: 0.1799 enc_loss_iou: 0.3027 dn_loss_cls: 0.0776 dn_loss_bbox: 0.1702 dn_loss_iou: 0.2335 d0.dn_loss_cls: 0.1651 d0.dn_loss_bbox: 0.3411 d0.dn_loss_iou: 0.3928 d1.dn_loss_cls: 0.1099 d1.dn_loss_bbox: 0.2119 d1.dn_loss_iou: 0.2710 d2.dn_loss_cls: 0.0920 d2.dn_loss_bbox: 0.1796 d2.dn_loss_iou: 0.2428 d3.dn_loss_cls: 0.0817 d3.dn_loss_bbox: 0.1710 d3.dn_loss_iou: 0.2350 d4.dn_loss_cls: 0.0784 d4.dn_loss_bbox: 0.1701 d4.dn_loss_iou: 0.2335 d1.loss_lmm_region: 0.1084 loss_lmm_image: 0.6893 +2024/11/08 19:45:03 - mmengine - INFO - Iter(train) [130400/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:41:07 time: 1.0307 data_time: 0.0188 memory: 23517 grad_norm: 19.1935 loss: 8.8616 loss_cls: 0.2641 loss_bbox: 0.1473 loss_iou: 0.2306 d0.loss_cls: 0.2888 d0.loss_bbox: 0.1613 d0.loss_iou: 0.2427 d1.loss_cls: 0.2788 d1.loss_bbox: 0.1537 d1.loss_iou: 0.2337 d2.loss_cls: 0.2719 d2.loss_bbox: 0.1490 d2.loss_iou: 0.2322 d3.loss_cls: 0.2696 d3.loss_bbox: 0.1461 d3.loss_iou: 0.2282 d4.loss_cls: 0.2658 d4.loss_bbox: 0.1471 d4.loss_iou: 0.2292 enc_loss_cls: 0.3048 enc_loss_bbox: 0.1641 enc_loss_iou: 0.2503 dn_loss_cls: 0.0736 dn_loss_bbox: 0.1771 dn_loss_iou: 0.2253 d0.dn_loss_cls: 0.1588 d0.dn_loss_bbox: 0.3286 d0.dn_loss_iou: 0.3753 d1.dn_loss_cls: 0.1035 d1.dn_loss_bbox: 0.2060 d1.dn_loss_iou: 0.2556 d2.dn_loss_cls: 0.0888 d2.dn_loss_bbox: 0.1854 d2.dn_loss_iou: 0.2331 d3.dn_loss_cls: 0.0766 d3.dn_loss_bbox: 0.1781 d3.dn_loss_iou: 0.2265 d4.dn_loss_cls: 0.0741 d4.dn_loss_bbox: 0.1769 d4.dn_loss_iou: 0.2252 d1.loss_lmm_region: 0.1149 loss_lmm_image: 0.7188 +2024/11/08 19:46:45 - mmengine - INFO - Iter(train) [130500/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:39:23 time: 1.0285 data_time: 0.0186 memory: 24570 grad_norm: 27.2002 loss: 9.4235 loss_cls: 0.3265 loss_bbox: 0.1291 loss_iou: 0.2506 d0.loss_cls: 0.3577 d0.loss_bbox: 0.1493 d0.loss_iou: 0.2747 d1.loss_cls: 0.3424 d1.loss_bbox: 0.1387 d1.loss_iou: 0.2607 d2.loss_cls: 0.3377 d2.loss_bbox: 0.1329 d2.loss_iou: 0.2547 d3.loss_cls: 0.3304 d3.loss_bbox: 0.1300 d3.loss_iou: 0.2529 d4.loss_cls: 0.3279 d4.loss_bbox: 0.1288 d4.loss_iou: 0.2509 enc_loss_cls: 0.3836 enc_loss_bbox: 0.1611 enc_loss_iou: 0.2923 dn_loss_cls: 0.1105 dn_loss_bbox: 0.1576 dn_loss_iou: 0.2187 d0.dn_loss_cls: 0.1945 d0.dn_loss_bbox: 0.3051 d0.dn_loss_iou: 0.3715 d1.dn_loss_cls: 0.1409 d1.dn_loss_bbox: 0.1892 d1.dn_loss_iou: 0.2513 d2.dn_loss_cls: 0.1229 d2.dn_loss_bbox: 0.1669 d2.dn_loss_iou: 0.2276 d3.dn_loss_cls: 0.1146 d3.dn_loss_bbox: 0.1588 d3.dn_loss_iou: 0.2204 d4.dn_loss_cls: 0.1112 d4.dn_loss_bbox: 0.1576 d4.dn_loss_iou: 0.2186 d1.loss_lmm_region: 0.1057 loss_lmm_image: 0.6670 +2024/11/08 19:48:27 - mmengine - INFO - Iter(train) [130600/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:37:38 time: 1.0272 data_time: 0.0188 memory: 23864 grad_norm: 20.0503 loss: 9.4196 loss_cls: 0.3074 loss_bbox: 0.1448 loss_iou: 0.2648 d0.loss_cls: 0.3489 d0.loss_bbox: 0.1583 d0.loss_iou: 0.2821 d1.loss_cls: 0.3310 d1.loss_bbox: 0.1461 d1.loss_iou: 0.2685 d2.loss_cls: 0.3185 d2.loss_bbox: 0.1457 d2.loss_iou: 0.2657 d3.loss_cls: 0.3179 d3.loss_bbox: 0.1437 d3.loss_iou: 0.2631 d4.loss_cls: 0.3081 d4.loss_bbox: 0.1453 d4.loss_iou: 0.2645 enc_loss_cls: 0.3733 enc_loss_bbox: 0.1651 enc_loss_iou: 0.2985 dn_loss_cls: 0.0811 dn_loss_bbox: 0.1715 dn_loss_iou: 0.2176 d0.dn_loss_cls: 0.1758 d0.dn_loss_bbox: 0.3361 d0.dn_loss_iou: 0.3667 d1.dn_loss_cls: 0.1155 d1.dn_loss_bbox: 0.2115 d1.dn_loss_iou: 0.2537 d2.dn_loss_cls: 0.1006 d2.dn_loss_bbox: 0.1847 d2.dn_loss_iou: 0.2272 d3.dn_loss_cls: 0.0869 d3.dn_loss_bbox: 0.1732 d3.dn_loss_iou: 0.2196 d4.dn_loss_cls: 0.0822 d4.dn_loss_bbox: 0.1716 d4.dn_loss_iou: 0.2176 d1.loss_lmm_region: 0.1179 loss_lmm_image: 0.6473 +2024/11/08 19:50:10 - mmengine - INFO - Iter(train) [130700/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:35:53 time: 1.0220 data_time: 0.0187 memory: 24823 grad_norm: 19.0823 loss: 9.9709 loss_cls: 0.3218 loss_bbox: 0.1608 loss_iou: 0.2734 d0.loss_cls: 0.3498 d0.loss_bbox: 0.1883 d0.loss_iou: 0.2900 d1.loss_cls: 0.3342 d1.loss_bbox: 0.1710 d1.loss_iou: 0.2775 d2.loss_cls: 0.3299 d2.loss_bbox: 0.1614 d2.loss_iou: 0.2727 d3.loss_cls: 0.3266 d3.loss_bbox: 0.1629 d3.loss_iou: 0.2723 d4.loss_cls: 0.3233 d4.loss_bbox: 0.1605 d4.loss_iou: 0.2714 enc_loss_cls: 0.3647 enc_loss_bbox: 0.1942 enc_loss_iou: 0.3063 dn_loss_cls: 0.1080 dn_loss_bbox: 0.1901 dn_loss_iou: 0.2347 d0.dn_loss_cls: 0.1911 d0.dn_loss_bbox: 0.3268 d0.dn_loss_iou: 0.3751 d1.dn_loss_cls: 0.1380 d1.dn_loss_bbox: 0.2168 d1.dn_loss_iou: 0.2636 d2.dn_loss_cls: 0.1221 d2.dn_loss_bbox: 0.1934 d2.dn_loss_iou: 0.2407 d3.dn_loss_cls: 0.1145 d3.dn_loss_bbox: 0.1906 d3.dn_loss_iou: 0.2362 d4.dn_loss_cls: 0.1086 d4.dn_loss_bbox: 0.1902 d4.dn_loss_iou: 0.2348 d1.loss_lmm_region: 0.1176 loss_lmm_image: 0.6650 +2024/11/08 19:51:53 - mmengine - INFO - Iter(train) [130800/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:34:08 time: 1.0217 data_time: 0.0187 memory: 23478 grad_norm: 19.1413 loss: 9.2233 loss_cls: 0.2851 loss_bbox: 0.1546 loss_iou: 0.2632 d0.loss_cls: 0.3221 d0.loss_bbox: 0.1659 d0.loss_iou: 0.2808 d1.loss_cls: 0.3019 d1.loss_bbox: 0.1598 d1.loss_iou: 0.2711 d2.loss_cls: 0.2943 d2.loss_bbox: 0.1580 d2.loss_iou: 0.2667 d3.loss_cls: 0.2914 d3.loss_bbox: 0.1552 d3.loss_iou: 0.2638 d4.loss_cls: 0.2849 d4.loss_bbox: 0.1555 d4.loss_iou: 0.2641 enc_loss_cls: 0.3451 enc_loss_bbox: 0.1699 enc_loss_iou: 0.2913 dn_loss_cls: 0.0866 dn_loss_bbox: 0.1586 dn_loss_iou: 0.2141 d0.dn_loss_cls: 0.1719 d0.dn_loss_bbox: 0.3007 d0.dn_loss_iou: 0.3533 d1.dn_loss_cls: 0.1188 d1.dn_loss_bbox: 0.1896 d1.dn_loss_iou: 0.2425 d2.dn_loss_cls: 0.1020 d2.dn_loss_bbox: 0.1651 d2.dn_loss_iou: 0.2203 d3.dn_loss_cls: 0.0926 d3.dn_loss_bbox: 0.1604 d3.dn_loss_iou: 0.2156 d4.dn_loss_cls: 0.0875 d4.dn_loss_bbox: 0.1587 d4.dn_loss_iou: 0.2141 d1.loss_lmm_region: 0.1130 loss_lmm_image: 0.7132 +2024/11/08 19:53:35 - mmengine - INFO - Iter(train) [130900/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:32:24 time: 1.0166 data_time: 0.0187 memory: 23264 grad_norm: 18.7429 loss: 9.2556 loss_cls: 0.2763 loss_bbox: 0.1529 loss_iou: 0.2715 d0.loss_cls: 0.3045 d0.loss_bbox: 0.1603 d0.loss_iou: 0.2838 d1.loss_cls: 0.2891 d1.loss_bbox: 0.1556 d1.loss_iou: 0.2778 d2.loss_cls: 0.2871 d2.loss_bbox: 0.1509 d2.loss_iou: 0.2744 d3.loss_cls: 0.2830 d3.loss_bbox: 0.1516 d3.loss_iou: 0.2702 d4.loss_cls: 0.2787 d4.loss_bbox: 0.1506 d4.loss_iou: 0.2697 enc_loss_cls: 0.3313 enc_loss_bbox: 0.1653 enc_loss_iou: 0.2952 dn_loss_cls: 0.0869 dn_loss_bbox: 0.1632 dn_loss_iou: 0.2225 d0.dn_loss_cls: 0.1803 d0.dn_loss_bbox: 0.2947 d0.dn_loss_iou: 0.3602 d1.dn_loss_cls: 0.1253 d1.dn_loss_bbox: 0.1906 d1.dn_loss_iou: 0.2517 d2.dn_loss_cls: 0.1044 d2.dn_loss_bbox: 0.1701 d2.dn_loss_iou: 0.2307 d3.dn_loss_cls: 0.0920 d3.dn_loss_bbox: 0.1639 d3.dn_loss_iou: 0.2240 d4.dn_loss_cls: 0.0874 d4.dn_loss_bbox: 0.1630 d4.dn_loss_iou: 0.2225 d1.loss_lmm_region: 0.1239 loss_lmm_image: 0.7183 +2024/11/08 19:55:17 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/08 19:55:17 - mmengine - INFO - Iter(train) [131000/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:30:39 time: 1.0240 data_time: 0.0186 memory: 22389 grad_norm: 28.0402 loss: 8.7242 loss_cls: 0.2503 loss_bbox: 0.1358 loss_iou: 0.2516 d0.loss_cls: 0.2756 d0.loss_bbox: 0.1525 d0.loss_iou: 0.2706 d1.loss_cls: 0.2680 d1.loss_bbox: 0.1367 d1.loss_iou: 0.2516 d2.loss_cls: 0.2607 d2.loss_bbox: 0.1316 d2.loss_iou: 0.2490 d3.loss_cls: 0.2567 d3.loss_bbox: 0.1318 d3.loss_iou: 0.2476 d4.loss_cls: 0.2509 d4.loss_bbox: 0.1362 d4.loss_iou: 0.2518 enc_loss_cls: 0.3011 enc_loss_bbox: 0.1631 enc_loss_iou: 0.2846 dn_loss_cls: 0.0688 dn_loss_bbox: 0.1616 dn_loss_iou: 0.2239 d0.dn_loss_cls: 0.1620 d0.dn_loss_bbox: 0.3149 d0.dn_loss_iou: 0.3685 d1.dn_loss_cls: 0.1033 d1.dn_loss_bbox: 0.1939 d1.dn_loss_iou: 0.2546 d2.dn_loss_cls: 0.0849 d2.dn_loss_bbox: 0.1728 d2.dn_loss_iou: 0.2328 d3.dn_loss_cls: 0.0753 d3.dn_loss_bbox: 0.1644 d3.dn_loss_iou: 0.2262 d4.dn_loss_cls: 0.0707 d4.dn_loss_bbox: 0.1617 d4.dn_loss_iou: 0.2241 d1.loss_lmm_region: 0.1214 loss_lmm_image: 0.6803 +2024/11/08 19:56:59 - mmengine - INFO - Iter(train) [131100/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:28:54 time: 1.0094 data_time: 0.0187 memory: 23921 grad_norm: 19.8279 loss: 9.9538 loss_cls: 0.2885 loss_bbox: 0.1753 loss_iou: 0.2876 d0.loss_cls: 0.3277 d0.loss_bbox: 0.1856 d0.loss_iou: 0.2991 d1.loss_cls: 0.3070 d1.loss_bbox: 0.1824 d1.loss_iou: 0.2896 d2.loss_cls: 0.3031 d2.loss_bbox: 0.1717 d2.loss_iou: 0.2869 d3.loss_cls: 0.2964 d3.loss_bbox: 0.1732 d3.loss_iou: 0.2864 d4.loss_cls: 0.2921 d4.loss_bbox: 0.1739 d4.loss_iou: 0.2864 enc_loss_cls: 0.3418 enc_loss_bbox: 0.2002 enc_loss_iou: 0.3158 dn_loss_cls: 0.0837 dn_loss_bbox: 0.1998 dn_loss_iou: 0.2498 d0.dn_loss_cls: 0.1667 d0.dn_loss_bbox: 0.3634 d0.dn_loss_iou: 0.4059 d1.dn_loss_cls: 0.1102 d1.dn_loss_bbox: 0.2331 d1.dn_loss_iou: 0.2823 d2.dn_loss_cls: 0.0963 d2.dn_loss_bbox: 0.2085 d2.dn_loss_iou: 0.2575 d3.dn_loss_cls: 0.0872 d3.dn_loss_bbox: 0.2005 d3.dn_loss_iou: 0.2503 d4.dn_loss_cls: 0.0854 d4.dn_loss_bbox: 0.1997 d4.dn_loss_iou: 0.2497 d1.loss_lmm_region: 0.1153 loss_lmm_image: 0.6380 +2024/11/08 19:58:41 - mmengine - INFO - Iter(train) [131200/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:27:09 time: 1.0149 data_time: 0.0189 memory: 23829 grad_norm: 22.6797 loss: 9.6639 loss_cls: 0.3073 loss_bbox: 0.1613 loss_iou: 0.2888 d0.loss_cls: 0.3457 d0.loss_bbox: 0.1801 d0.loss_iou: 0.3087 d1.loss_cls: 0.3325 d1.loss_bbox: 0.1635 d1.loss_iou: 0.2934 d2.loss_cls: 0.3197 d2.loss_bbox: 0.1590 d2.loss_iou: 0.2878 d3.loss_cls: 0.3148 d3.loss_bbox: 0.1588 d3.loss_iou: 0.2872 d4.loss_cls: 0.3092 d4.loss_bbox: 0.1606 d4.loss_iou: 0.2890 enc_loss_cls: 0.3662 enc_loss_bbox: 0.1906 enc_loss_iou: 0.3215 dn_loss_cls: 0.0645 dn_loss_bbox: 0.1727 dn_loss_iou: 0.2222 d0.dn_loss_cls: 0.1622 d0.dn_loss_bbox: 0.3311 d0.dn_loss_iou: 0.3711 d1.dn_loss_cls: 0.0989 d1.dn_loss_bbox: 0.2048 d1.dn_loss_iou: 0.2542 d2.dn_loss_cls: 0.0782 d2.dn_loss_bbox: 0.1797 d2.dn_loss_iou: 0.2296 d3.dn_loss_cls: 0.0702 d3.dn_loss_bbox: 0.1740 d3.dn_loss_iou: 0.2238 d4.dn_loss_cls: 0.0654 d4.dn_loss_bbox: 0.1728 d4.dn_loss_iou: 0.2222 d1.loss_lmm_region: 0.1121 loss_lmm_image: 0.7082 +2024/11/08 20:00:23 - mmengine - INFO - Iter(train) [131300/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:25:25 time: 1.0207 data_time: 0.0187 memory: 23774 grad_norm: 23.9006 loss: 8.7437 loss_cls: 0.2501 loss_bbox: 0.1349 loss_iou: 0.2320 d0.loss_cls: 0.2792 d0.loss_bbox: 0.1453 d0.loss_iou: 0.2454 d1.loss_cls: 0.2625 d1.loss_bbox: 0.1393 d1.loss_iou: 0.2373 d2.loss_cls: 0.2608 d2.loss_bbox: 0.1337 d2.loss_iou: 0.2323 d3.loss_cls: 0.2544 d3.loss_bbox: 0.1331 d3.loss_iou: 0.2305 d4.loss_cls: 0.2503 d4.loss_bbox: 0.1341 d4.loss_iou: 0.2312 enc_loss_cls: 0.2964 enc_loss_bbox: 0.1536 enc_loss_iou: 0.2555 dn_loss_cls: 0.1000 dn_loss_bbox: 0.1778 dn_loss_iou: 0.2205 d0.dn_loss_cls: 0.1825 d0.dn_loss_bbox: 0.3384 d0.dn_loss_iou: 0.3645 d1.dn_loss_cls: 0.1249 d1.dn_loss_bbox: 0.2148 d1.dn_loss_iou: 0.2532 d2.dn_loss_cls: 0.1121 d2.dn_loss_bbox: 0.1878 d2.dn_loss_iou: 0.2291 d3.dn_loss_cls: 0.1054 d3.dn_loss_bbox: 0.1799 d3.dn_loss_iou: 0.2224 d4.dn_loss_cls: 0.1006 d4.dn_loss_bbox: 0.1778 d4.dn_loss_iou: 0.2204 d1.loss_lmm_region: 0.1195 loss_lmm_image: 0.6204 +2024/11/08 20:02:06 - mmengine - INFO - Iter(train) [131400/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:23:40 time: 1.0329 data_time: 0.0190 memory: 24712 grad_norm: 20.0665 loss: 9.3916 loss_cls: 0.2883 loss_bbox: 0.1505 loss_iou: 0.2783 d0.loss_cls: 0.3225 d0.loss_bbox: 0.1631 d0.loss_iou: 0.2960 d1.loss_cls: 0.3075 d1.loss_bbox: 0.1523 d1.loss_iou: 0.2833 d2.loss_cls: 0.2980 d2.loss_bbox: 0.1506 d2.loss_iou: 0.2803 d3.loss_cls: 0.2961 d3.loss_bbox: 0.1501 d3.loss_iou: 0.2779 d4.loss_cls: 0.2877 d4.loss_bbox: 0.1503 d4.loss_iou: 0.2790 enc_loss_cls: 0.3433 enc_loss_bbox: 0.1700 enc_loss_iou: 0.3096 dn_loss_cls: 0.0799 dn_loss_bbox: 0.1608 dn_loss_iou: 0.2287 d0.dn_loss_cls: 0.1731 d0.dn_loss_bbox: 0.3171 d0.dn_loss_iou: 0.3817 d1.dn_loss_cls: 0.1146 d1.dn_loss_bbox: 0.1955 d1.dn_loss_iou: 0.2616 d2.dn_loss_cls: 0.0962 d2.dn_loss_bbox: 0.1688 d2.dn_loss_iou: 0.2364 d3.dn_loss_cls: 0.0867 d3.dn_loss_bbox: 0.1626 d3.dn_loss_iou: 0.2300 d4.dn_loss_cls: 0.0805 d4.dn_loss_bbox: 0.1608 d4.dn_loss_iou: 0.2288 d1.loss_lmm_region: 0.1065 loss_lmm_image: 0.6865 +2024/11/08 20:03:49 - mmengine - INFO - Iter(train) [131500/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:21:55 time: 1.0238 data_time: 0.0187 memory: 23374 grad_norm: 30.5266 loss: 11.1275 loss_cls: 0.3560 loss_bbox: 0.1853 loss_iou: 0.3446 d0.loss_cls: 0.4029 d0.loss_bbox: 0.2067 d0.loss_iou: 0.3746 d1.loss_cls: 0.3793 d1.loss_bbox: 0.1949 d1.loss_iou: 0.3565 d2.loss_cls: 0.3743 d2.loss_bbox: 0.1847 d2.loss_iou: 0.3483 d3.loss_cls: 0.3656 d3.loss_bbox: 0.1843 d3.loss_iou: 0.3456 d4.loss_cls: 0.3585 d4.loss_bbox: 0.1838 d4.loss_iou: 0.3449 enc_loss_cls: 0.4128 enc_loss_bbox: 0.2198 enc_loss_iou: 0.4017 dn_loss_cls: 0.0921 dn_loss_bbox: 0.1888 dn_loss_iou: 0.2548 d0.dn_loss_cls: 0.1865 d0.dn_loss_bbox: 0.3474 d0.dn_loss_iou: 0.4165 d1.dn_loss_cls: 0.1271 d1.dn_loss_bbox: 0.2221 d1.dn_loss_iou: 0.2884 d2.dn_loss_cls: 0.1082 d2.dn_loss_bbox: 0.1982 d2.dn_loss_iou: 0.2637 d3.dn_loss_cls: 0.0975 d3.dn_loss_bbox: 0.1903 d3.dn_loss_iou: 0.2566 d4.dn_loss_cls: 0.0935 d4.dn_loss_bbox: 0.1887 d4.dn_loss_iou: 0.2548 d1.loss_lmm_region: 0.1284 loss_lmm_image: 0.6988 +2024/11/08 20:05:31 - mmengine - INFO - Iter(train) [131600/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:20:11 time: 1.0203 data_time: 0.0188 memory: 22648 grad_norm: 29.1672 loss: 8.6970 loss_cls: 0.2782 loss_bbox: 0.1325 loss_iou: 0.2263 d0.loss_cls: 0.2937 d0.loss_bbox: 0.1518 d0.loss_iou: 0.2457 d1.loss_cls: 0.2853 d1.loss_bbox: 0.1378 d1.loss_iou: 0.2320 d2.loss_cls: 0.2796 d2.loss_bbox: 0.1364 d2.loss_iou: 0.2304 d3.loss_cls: 0.2777 d3.loss_bbox: 0.1346 d3.loss_iou: 0.2280 d4.loss_cls: 0.2781 d4.loss_bbox: 0.1325 d4.loss_iou: 0.2263 enc_loss_cls: 0.3145 enc_loss_bbox: 0.1560 enc_loss_iou: 0.2569 dn_loss_cls: 0.0725 dn_loss_bbox: 0.1672 dn_loss_iou: 0.2111 d0.dn_loss_cls: 0.1602 d0.dn_loss_bbox: 0.3282 d0.dn_loss_iou: 0.3520 d1.dn_loss_cls: 0.1042 d1.dn_loss_bbox: 0.2044 d1.dn_loss_iou: 0.2429 d2.dn_loss_cls: 0.0881 d2.dn_loss_bbox: 0.1756 d2.dn_loss_iou: 0.2198 d3.dn_loss_cls: 0.0783 d3.dn_loss_bbox: 0.1681 d3.dn_loss_iou: 0.2118 d4.dn_loss_cls: 0.0740 d4.dn_loss_bbox: 0.1672 d4.dn_loss_iou: 0.2111 d1.loss_lmm_region: 0.1070 loss_lmm_image: 0.7191 +2024/11/08 20:07:13 - mmengine - INFO - Iter(train) [131700/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:18:26 time: 1.0251 data_time: 0.0189 memory: 23283 grad_norm: 20.5658 loss: 9.2186 loss_cls: 0.2743 loss_bbox: 0.1474 loss_iou: 0.2672 d0.loss_cls: 0.3061 d0.loss_bbox: 0.1624 d0.loss_iou: 0.2865 d1.loss_cls: 0.2941 d1.loss_bbox: 0.1487 d1.loss_iou: 0.2715 d2.loss_cls: 0.2837 d2.loss_bbox: 0.1499 d2.loss_iou: 0.2668 d3.loss_cls: 0.2769 d3.loss_bbox: 0.1517 d3.loss_iou: 0.2687 d4.loss_cls: 0.2747 d4.loss_bbox: 0.1487 d4.loss_iou: 0.2675 enc_loss_cls: 0.3238 enc_loss_bbox: 0.1781 enc_loss_iou: 0.3042 dn_loss_cls: 0.0745 dn_loss_bbox: 0.1834 dn_loss_iou: 0.2306 d0.dn_loss_cls: 0.1551 d0.dn_loss_bbox: 0.3259 d0.dn_loss_iou: 0.3760 d1.dn_loss_cls: 0.1026 d1.dn_loss_bbox: 0.2133 d1.dn_loss_iou: 0.2603 d2.dn_loss_cls: 0.0887 d2.dn_loss_bbox: 0.1911 d2.dn_loss_iou: 0.2386 d3.dn_loss_cls: 0.0793 d3.dn_loss_bbox: 0.1848 d3.dn_loss_iou: 0.2320 d4.dn_loss_cls: 0.0749 d4.dn_loss_bbox: 0.1833 d4.dn_loss_iou: 0.2305 d1.loss_lmm_region: 0.1135 loss_lmm_image: 0.6273 +2024/11/08 20:08:56 - mmengine - INFO - Iter(train) [131800/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:16:41 time: 1.0223 data_time: 0.0189 memory: 24049 grad_norm: 20.6934 loss: 10.2547 loss_cls: 0.3013 loss_bbox: 0.1829 loss_iou: 0.3030 d0.loss_cls: 0.3451 d0.loss_bbox: 0.1959 d0.loss_iou: 0.3180 d1.loss_cls: 0.3257 d1.loss_bbox: 0.1865 d1.loss_iou: 0.3097 d2.loss_cls: 0.3191 d2.loss_bbox: 0.1817 d2.loss_iou: 0.3035 d3.loss_cls: 0.3139 d3.loss_bbox: 0.1772 d3.loss_iou: 0.3008 d4.loss_cls: 0.3033 d4.loss_bbox: 0.1825 d4.loss_iou: 0.3026 enc_loss_cls: 0.3608 enc_loss_bbox: 0.2035 enc_loss_iou: 0.3363 dn_loss_cls: 0.0983 dn_loss_bbox: 0.1947 dn_loss_iou: 0.2341 d0.dn_loss_cls: 0.1898 d0.dn_loss_bbox: 0.3485 d0.dn_loss_iou: 0.3759 d1.dn_loss_cls: 0.1276 d1.dn_loss_bbox: 0.2285 d1.dn_loss_iou: 0.2642 d2.dn_loss_cls: 0.1097 d2.dn_loss_bbox: 0.2042 d2.dn_loss_iou: 0.2420 d3.dn_loss_cls: 0.1016 d3.dn_loss_bbox: 0.1956 d3.dn_loss_iou: 0.2355 d4.dn_loss_cls: 0.0985 d4.dn_loss_bbox: 0.1947 d4.dn_loss_iou: 0.2340 d1.loss_lmm_region: 0.1377 loss_lmm_image: 0.6863 +2024/11/08 20:10:38 - mmengine - INFO - Iter(train) [131900/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:14:57 time: 1.0198 data_time: 0.0188 memory: 25060 grad_norm: 23.1097 loss: 9.1661 loss_cls: 0.3349 loss_bbox: 0.1144 loss_iou: 0.2280 d0.loss_cls: 0.3699 d0.loss_bbox: 0.1270 d0.loss_iou: 0.2436 d1.loss_cls: 0.3498 d1.loss_bbox: 0.1191 d1.loss_iou: 0.2352 d2.loss_cls: 0.3437 d2.loss_bbox: 0.1211 d2.loss_iou: 0.2306 d3.loss_cls: 0.3410 d3.loss_bbox: 0.1134 d3.loss_iou: 0.2263 d4.loss_cls: 0.3332 d4.loss_bbox: 0.1152 d4.loss_iou: 0.2287 enc_loss_cls: 0.3845 enc_loss_bbox: 0.1415 enc_loss_iou: 0.2593 dn_loss_cls: 0.1342 dn_loss_bbox: 0.1542 dn_loss_iou: 0.1970 d0.dn_loss_cls: 0.1912 d0.dn_loss_bbox: 0.2942 d0.dn_loss_iou: 0.3316 d1.dn_loss_cls: 0.1672 d1.dn_loss_bbox: 0.1883 d1.dn_loss_iou: 0.2286 d2.dn_loss_cls: 0.1455 d2.dn_loss_bbox: 0.1605 d2.dn_loss_iou: 0.2037 d3.dn_loss_cls: 0.1397 d3.dn_loss_bbox: 0.1553 d3.dn_loss_iou: 0.1976 d4.dn_loss_cls: 0.1382 d4.dn_loss_bbox: 0.1542 d4.dn_loss_iou: 0.1969 d1.loss_lmm_region: 0.1188 loss_lmm_image: 0.7089 +2024/11/08 20:12:21 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/08 20:12:21 - mmengine - INFO - Iter(train) [132000/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:13:12 time: 1.0292 data_time: 0.0186 memory: 23826 grad_norm: 21.3457 loss: 8.4101 loss_cls: 0.2637 loss_bbox: 0.1201 loss_iou: 0.2226 d0.loss_cls: 0.3014 d0.loss_bbox: 0.1332 d0.loss_iou: 0.2327 d1.loss_cls: 0.2794 d1.loss_bbox: 0.1244 d1.loss_iou: 0.2268 d2.loss_cls: 0.2755 d2.loss_bbox: 0.1214 d2.loss_iou: 0.2235 d3.loss_cls: 0.2719 d3.loss_bbox: 0.1201 d3.loss_iou: 0.2208 d4.loss_cls: 0.2663 d4.loss_bbox: 0.1200 d4.loss_iou: 0.2230 enc_loss_cls: 0.3206 enc_loss_bbox: 0.1505 enc_loss_iou: 0.2566 dn_loss_cls: 0.0762 dn_loss_bbox: 0.1527 dn_loss_iou: 0.2047 d0.dn_loss_cls: 0.1640 d0.dn_loss_bbox: 0.2963 d0.dn_loss_iou: 0.3500 d1.dn_loss_cls: 0.1062 d1.dn_loss_bbox: 0.1877 d1.dn_loss_iou: 0.2371 d2.dn_loss_cls: 0.0894 d2.dn_loss_bbox: 0.1621 d2.dn_loss_iou: 0.2135 d3.dn_loss_cls: 0.0826 d3.dn_loss_bbox: 0.1541 d3.dn_loss_iou: 0.2066 d4.dn_loss_cls: 0.0774 d4.dn_loss_bbox: 0.1528 d4.dn_loss_iou: 0.2047 d1.loss_lmm_region: 0.1159 loss_lmm_image: 0.7016 +2024/11/08 20:14:03 - mmengine - INFO - Iter(train) [132100/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:11:27 time: 1.0270 data_time: 0.0189 memory: 22958 grad_norm: 18.5484 loss: 8.0722 loss_cls: 0.2163 loss_bbox: 0.1407 loss_iou: 0.2250 d0.loss_cls: 0.2466 d0.loss_bbox: 0.1499 d0.loss_iou: 0.2386 d1.loss_cls: 0.2307 d1.loss_bbox: 0.1436 d1.loss_iou: 0.2304 d2.loss_cls: 0.2233 d2.loss_bbox: 0.1416 d2.loss_iou: 0.2274 d3.loss_cls: 0.2195 d3.loss_bbox: 0.1405 d3.loss_iou: 0.2260 d4.loss_cls: 0.2172 d4.loss_bbox: 0.1404 d4.loss_iou: 0.2235 enc_loss_cls: 0.2674 enc_loss_bbox: 0.1609 enc_loss_iou: 0.2549 dn_loss_cls: 0.0616 dn_loss_bbox: 0.1660 dn_loss_iou: 0.2027 d0.dn_loss_cls: 0.1309 d0.dn_loss_bbox: 0.3039 d0.dn_loss_iou: 0.3321 d1.dn_loss_cls: 0.0848 d1.dn_loss_bbox: 0.1913 d1.dn_loss_iou: 0.2318 d2.dn_loss_cls: 0.0723 d2.dn_loss_bbox: 0.1730 d2.dn_loss_iou: 0.2101 d3.dn_loss_cls: 0.0662 d3.dn_loss_bbox: 0.1685 d3.dn_loss_iou: 0.2043 d4.dn_loss_cls: 0.0623 d4.dn_loss_bbox: 0.1661 d4.dn_loss_iou: 0.2028 d1.loss_lmm_region: 0.0822 loss_lmm_image: 0.6948 +2024/11/08 20:15:46 - mmengine - INFO - Iter(train) [132200/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:09:43 time: 1.0344 data_time: 0.0186 memory: 24066 grad_norm: 19.2937 loss: 8.6795 loss_cls: 0.2803 loss_bbox: 0.1281 loss_iou: 0.2472 d0.loss_cls: 0.3129 d0.loss_bbox: 0.1460 d0.loss_iou: 0.2741 d1.loss_cls: 0.2997 d1.loss_bbox: 0.1302 d1.loss_iou: 0.2521 d2.loss_cls: 0.2884 d2.loss_bbox: 0.1291 d2.loss_iou: 0.2492 d3.loss_cls: 0.2883 d3.loss_bbox: 0.1273 d3.loss_iou: 0.2476 d4.loss_cls: 0.2815 d4.loss_bbox: 0.1278 d4.loss_iou: 0.2470 enc_loss_cls: 0.3323 enc_loss_bbox: 0.1601 enc_loss_iou: 0.2912 dn_loss_cls: 0.0855 dn_loss_bbox: 0.1423 dn_loss_iou: 0.2014 d0.dn_loss_cls: 0.1615 d0.dn_loss_bbox: 0.2899 d0.dn_loss_iou: 0.3467 d1.dn_loss_cls: 0.1117 d1.dn_loss_bbox: 0.1745 d1.dn_loss_iou: 0.2323 d2.dn_loss_cls: 0.0983 d2.dn_loss_bbox: 0.1504 d2.dn_loss_iou: 0.2091 d3.dn_loss_cls: 0.0877 d3.dn_loss_bbox: 0.1436 d3.dn_loss_iou: 0.2023 d4.dn_loss_cls: 0.0855 d4.dn_loss_bbox: 0.1423 d4.dn_loss_iou: 0.2012 d1.loss_lmm_region: 0.0999 loss_lmm_image: 0.6731 +2024/11/08 20:17:29 - mmengine - INFO - Iter(train) [132300/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:07:58 time: 1.0319 data_time: 0.0189 memory: 23171 grad_norm: 18.3832 loss: 9.2083 loss_cls: 0.2989 loss_bbox: 0.1465 loss_iou: 0.2592 d0.loss_cls: 0.3328 d0.loss_bbox: 0.1661 d0.loss_iou: 0.2780 d1.loss_cls: 0.3130 d1.loss_bbox: 0.1610 d1.loss_iou: 0.2675 d2.loss_cls: 0.3062 d2.loss_bbox: 0.1527 d2.loss_iou: 0.2623 d3.loss_cls: 0.3048 d3.loss_bbox: 0.1508 d3.loss_iou: 0.2585 d4.loss_cls: 0.3002 d4.loss_bbox: 0.1467 d4.loss_iou: 0.2582 enc_loss_cls: 0.3347 enc_loss_bbox: 0.1784 enc_loss_iou: 0.2938 dn_loss_cls: 0.0851 dn_loss_bbox: 0.1652 dn_loss_iou: 0.2121 d0.dn_loss_cls: 0.1633 d0.dn_loss_bbox: 0.3143 d0.dn_loss_iou: 0.3571 d1.dn_loss_cls: 0.1129 d1.dn_loss_bbox: 0.1949 d1.dn_loss_iou: 0.2414 d2.dn_loss_cls: 0.0984 d2.dn_loss_bbox: 0.1734 d2.dn_loss_iou: 0.2195 d3.dn_loss_cls: 0.0898 d3.dn_loss_bbox: 0.1669 d3.dn_loss_iou: 0.2135 d4.dn_loss_cls: 0.0854 d4.dn_loss_bbox: 0.1651 d4.dn_loss_iou: 0.2122 d1.loss_lmm_region: 0.0925 loss_lmm_image: 0.6752 +2024/11/08 20:19:11 - mmengine - INFO - Iter(train) [132400/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:06:13 time: 1.0081 data_time: 0.0188 memory: 24979 grad_norm: 20.0498 loss: 8.0387 loss_cls: 0.2629 loss_bbox: 0.1151 loss_iou: 0.2123 d0.loss_cls: 0.2901 d0.loss_bbox: 0.1235 d0.loss_iou: 0.2222 d1.loss_cls: 0.2790 d1.loss_bbox: 0.1163 d1.loss_iou: 0.2130 d2.loss_cls: 0.2732 d2.loss_bbox: 0.1119 d2.loss_iou: 0.2091 d3.loss_cls: 0.2701 d3.loss_bbox: 0.1128 d3.loss_iou: 0.2094 d4.loss_cls: 0.2654 d4.loss_bbox: 0.1137 d4.loss_iou: 0.2117 enc_loss_cls: 0.3061 enc_loss_bbox: 0.1383 enc_loss_iou: 0.2381 dn_loss_cls: 0.0711 dn_loss_bbox: 0.1429 dn_loss_iou: 0.1913 d0.dn_loss_cls: 0.1655 d0.dn_loss_bbox: 0.3095 d0.dn_loss_iou: 0.3410 d1.dn_loss_cls: 0.1066 d1.dn_loss_bbox: 0.1806 d1.dn_loss_iou: 0.2246 d2.dn_loss_cls: 0.0868 d2.dn_loss_bbox: 0.1527 d2.dn_loss_iou: 0.1994 d3.dn_loss_cls: 0.0772 d3.dn_loss_bbox: 0.1448 d3.dn_loss_iou: 0.1923 d4.dn_loss_cls: 0.0716 d4.dn_loss_bbox: 0.1428 d4.dn_loss_iou: 0.1914 d1.loss_lmm_region: 0.1237 loss_lmm_image: 0.6286 +2024/11/08 20:20:55 - mmengine - INFO - Iter(train) [132500/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:04:29 time: 1.0381 data_time: 0.0189 memory: 24266 grad_norm: 18.7373 loss: 9.4294 loss_cls: 0.2878 loss_bbox: 0.1447 loss_iou: 0.2521 d0.loss_cls: 0.3199 d0.loss_bbox: 0.1546 d0.loss_iou: 0.2679 d1.loss_cls: 0.3018 d1.loss_bbox: 0.1468 d1.loss_iou: 0.2546 d2.loss_cls: 0.2975 d2.loss_bbox: 0.1422 d2.loss_iou: 0.2509 d3.loss_cls: 0.2917 d3.loss_bbox: 0.1432 d3.loss_iou: 0.2508 d4.loss_cls: 0.2870 d4.loss_bbox: 0.1454 d4.loss_iou: 0.2531 enc_loss_cls: 0.3381 enc_loss_bbox: 0.1608 enc_loss_iou: 0.2788 dn_loss_cls: 0.1072 dn_loss_bbox: 0.1839 dn_loss_iou: 0.2342 d0.dn_loss_cls: 0.1811 d0.dn_loss_bbox: 0.3440 d0.dn_loss_iou: 0.3875 d1.dn_loss_cls: 0.1312 d1.dn_loss_bbox: 0.2192 d1.dn_loss_iou: 0.2688 d2.dn_loss_cls: 0.1188 d2.dn_loss_bbox: 0.1919 d2.dn_loss_iou: 0.2429 d3.dn_loss_cls: 0.1147 d3.dn_loss_bbox: 0.1848 d3.dn_loss_iou: 0.2357 d4.dn_loss_cls: 0.1116 d4.dn_loss_bbox: 0.1838 d4.dn_loss_iou: 0.2341 d1.loss_lmm_region: 0.1032 loss_lmm_image: 0.6812 +2024/11/08 20:22:37 - mmengine - INFO - Iter(train) [132600/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:02:44 time: 1.0195 data_time: 0.0189 memory: 23025 grad_norm: 21.9670 loss: 8.2957 loss_cls: 0.2368 loss_bbox: 0.1313 loss_iou: 0.2420 d0.loss_cls: 0.2673 d0.loss_bbox: 0.1391 d0.loss_iou: 0.2471 d1.loss_cls: 0.2556 d1.loss_bbox: 0.1316 d1.loss_iou: 0.2446 d2.loss_cls: 0.2493 d2.loss_bbox: 0.1285 d2.loss_iou: 0.2383 d3.loss_cls: 0.2417 d3.loss_bbox: 0.1303 d3.loss_iou: 0.2413 d4.loss_cls: 0.2390 d4.loss_bbox: 0.1312 d4.loss_iou: 0.2408 enc_loss_cls: 0.2920 enc_loss_bbox: 0.1499 enc_loss_iou: 0.2625 dn_loss_cls: 0.0637 dn_loss_bbox: 0.1537 dn_loss_iou: 0.2131 d0.dn_loss_cls: 0.1420 d0.dn_loss_bbox: 0.3005 d0.dn_loss_iou: 0.3534 d1.dn_loss_cls: 0.0871 d1.dn_loss_bbox: 0.1832 d1.dn_loss_iou: 0.2413 d2.dn_loss_cls: 0.0745 d2.dn_loss_bbox: 0.1604 d2.dn_loss_iou: 0.2195 d3.dn_loss_cls: 0.0673 d3.dn_loss_bbox: 0.1553 d3.dn_loss_iou: 0.2140 d4.dn_loss_cls: 0.0646 d4.dn_loss_bbox: 0.1537 d4.dn_loss_iou: 0.2131 d1.loss_lmm_region: 0.1251 loss_lmm_image: 0.6699 +2024/11/08 20:24:19 - mmengine - INFO - Iter(train) [132700/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:00:59 time: 1.0224 data_time: 0.0188 memory: 23289 grad_norm: 19.5017 loss: 8.5594 loss_cls: 0.2584 loss_bbox: 0.1319 loss_iou: 0.2318 d0.loss_cls: 0.2937 d0.loss_bbox: 0.1407 d0.loss_iou: 0.2430 d1.loss_cls: 0.2762 d1.loss_bbox: 0.1340 d1.loss_iou: 0.2366 d2.loss_cls: 0.2714 d2.loss_bbox: 0.1313 d2.loss_iou: 0.2330 d3.loss_cls: 0.2617 d3.loss_bbox: 0.1315 d3.loss_iou: 0.2324 d4.loss_cls: 0.2588 d4.loss_bbox: 0.1311 d4.loss_iou: 0.2308 enc_loss_cls: 0.3067 enc_loss_bbox: 0.1540 enc_loss_iou: 0.2632 dn_loss_cls: 0.0765 dn_loss_bbox: 0.1588 dn_loss_iou: 0.2080 d0.dn_loss_cls: 0.1583 d0.dn_loss_bbox: 0.3239 d0.dn_loss_iou: 0.3605 d1.dn_loss_cls: 0.1033 d1.dn_loss_bbox: 0.1941 d1.dn_loss_iou: 0.2418 d2.dn_loss_cls: 0.0868 d2.dn_loss_bbox: 0.1677 d2.dn_loss_iou: 0.2172 d3.dn_loss_cls: 0.0794 d3.dn_loss_bbox: 0.1607 d3.dn_loss_iou: 0.2097 d4.dn_loss_cls: 0.0763 d4.dn_loss_bbox: 0.1588 d4.dn_loss_iou: 0.2080 d1.loss_lmm_region: 0.0965 loss_lmm_image: 0.7208 +2024/11/08 20:26:01 - mmengine - INFO - Iter(train) [132800/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:59:15 time: 1.0289 data_time: 0.0189 memory: 23631 grad_norm: 22.8265 loss: 9.2109 loss_cls: 0.2605 loss_bbox: 0.1456 loss_iou: 0.2835 d0.loss_cls: 0.2893 d0.loss_bbox: 0.1594 d0.loss_iou: 0.2989 d1.loss_cls: 0.2704 d1.loss_bbox: 0.1522 d1.loss_iou: 0.2906 d2.loss_cls: 0.2665 d2.loss_bbox: 0.1462 d2.loss_iou: 0.2833 d3.loss_cls: 0.2622 d3.loss_bbox: 0.1459 d3.loss_iou: 0.2825 d4.loss_cls: 0.2614 d4.loss_bbox: 0.1458 d4.loss_iou: 0.2825 enc_loss_cls: 0.3106 enc_loss_bbox: 0.1702 enc_loss_iou: 0.3196 dn_loss_cls: 0.0827 dn_loss_bbox: 0.1705 dn_loss_iou: 0.2385 d0.dn_loss_cls: 0.1620 d0.dn_loss_bbox: 0.3161 d0.dn_loss_iou: 0.3820 d1.dn_loss_cls: 0.1116 d1.dn_loss_bbox: 0.1991 d1.dn_loss_iou: 0.2657 d2.dn_loss_cls: 0.0973 d2.dn_loss_bbox: 0.1778 d2.dn_loss_iou: 0.2456 d3.dn_loss_cls: 0.0871 d3.dn_loss_bbox: 0.1715 d3.dn_loss_iou: 0.2397 d4.dn_loss_cls: 0.0835 d4.dn_loss_bbox: 0.1706 d4.dn_loss_iou: 0.2385 d1.loss_lmm_region: 0.0933 loss_lmm_image: 0.6506 +2024/11/08 20:27:44 - mmengine - INFO - Iter(train) [132900/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:57:30 time: 1.0206 data_time: 0.0189 memory: 24046 grad_norm: 20.0019 loss: 8.4789 loss_cls: 0.2813 loss_bbox: 0.1301 loss_iou: 0.2327 d0.loss_cls: 0.3105 d0.loss_bbox: 0.1415 d0.loss_iou: 0.2396 d1.loss_cls: 0.3026 d1.loss_bbox: 0.1301 d1.loss_iou: 0.2321 d2.loss_cls: 0.2917 d2.loss_bbox: 0.1288 d2.loss_iou: 0.2307 d3.loss_cls: 0.2883 d3.loss_bbox: 0.1308 d3.loss_iou: 0.2308 d4.loss_cls: 0.2845 d4.loss_bbox: 0.1298 d4.loss_iou: 0.2318 enc_loss_cls: 0.3343 enc_loss_bbox: 0.1513 enc_loss_iou: 0.2553 dn_loss_cls: 0.0739 dn_loss_bbox: 0.1458 dn_loss_iou: 0.1990 d0.dn_loss_cls: 0.1543 d0.dn_loss_bbox: 0.2972 d0.dn_loss_iou: 0.3462 d1.dn_loss_cls: 0.1016 d1.dn_loss_bbox: 0.1755 d1.dn_loss_iou: 0.2319 d2.dn_loss_cls: 0.0857 d2.dn_loss_bbox: 0.1551 d2.dn_loss_iou: 0.2072 d3.dn_loss_cls: 0.0766 d3.dn_loss_bbox: 0.1481 d3.dn_loss_iou: 0.2007 d4.dn_loss_cls: 0.0738 d4.dn_loss_bbox: 0.1459 d4.dn_loss_iou: 0.1991 d1.loss_lmm_region: 0.1031 loss_lmm_image: 0.6694 +2024/11/08 20:29:27 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/08 20:29:27 - mmengine - INFO - Iter(train) [133000/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:55:46 time: 1.0337 data_time: 0.0188 memory: 24070 grad_norm: 19.4517 loss: 8.6577 loss_cls: 0.2567 loss_bbox: 0.1267 loss_iou: 0.2303 d0.loss_cls: 0.2788 d0.loss_bbox: 0.1438 d0.loss_iou: 0.2500 d1.loss_cls: 0.2742 d1.loss_bbox: 0.1286 d1.loss_iou: 0.2368 d2.loss_cls: 0.2662 d2.loss_bbox: 0.1249 d2.loss_iou: 0.2322 d3.loss_cls: 0.2618 d3.loss_bbox: 0.1258 d3.loss_iou: 0.2300 d4.loss_cls: 0.2570 d4.loss_bbox: 0.1274 d4.loss_iou: 0.2312 enc_loss_cls: 0.2975 enc_loss_bbox: 0.1525 enc_loss_iou: 0.2625 dn_loss_cls: 0.0760 dn_loss_bbox: 0.1649 dn_loss_iou: 0.2291 d0.dn_loss_cls: 0.1717 d0.dn_loss_bbox: 0.3202 d0.dn_loss_iou: 0.3787 d1.dn_loss_cls: 0.1154 d1.dn_loss_bbox: 0.2005 d1.dn_loss_iou: 0.2612 d2.dn_loss_cls: 0.0941 d2.dn_loss_bbox: 0.1741 d2.dn_loss_iou: 0.2377 d3.dn_loss_cls: 0.0814 d3.dn_loss_bbox: 0.1663 d3.dn_loss_iou: 0.2306 d4.dn_loss_cls: 0.0763 d4.dn_loss_bbox: 0.1648 d4.dn_loss_iou: 0.2290 d1.loss_lmm_region: 0.1082 loss_lmm_image: 0.6825 +2024/11/08 20:31:09 - mmengine - INFO - Iter(train) [133100/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:54:01 time: 1.0197 data_time: 0.0190 memory: 22606 grad_norm: 20.0940 loss: 8.7904 loss_cls: 0.2594 loss_bbox: 0.1448 loss_iou: 0.2419 d0.loss_cls: 0.2889 d0.loss_bbox: 0.1498 d0.loss_iou: 0.2508 d1.loss_cls: 0.2767 d1.loss_bbox: 0.1432 d1.loss_iou: 0.2429 d2.loss_cls: 0.2697 d2.loss_bbox: 0.1449 d2.loss_iou: 0.2430 d3.loss_cls: 0.2680 d3.loss_bbox: 0.1424 d3.loss_iou: 0.2398 d4.loss_cls: 0.2597 d4.loss_bbox: 0.1441 d4.loss_iou: 0.2439 enc_loss_cls: 0.3162 enc_loss_bbox: 0.1541 enc_loss_iou: 0.2618 dn_loss_cls: 0.0716 dn_loss_bbox: 0.1746 dn_loss_iou: 0.2154 d0.dn_loss_cls: 0.1563 d0.dn_loss_bbox: 0.3327 d0.dn_loss_iou: 0.3606 d1.dn_loss_cls: 0.0979 d1.dn_loss_bbox: 0.2096 d1.dn_loss_iou: 0.2475 d2.dn_loss_cls: 0.0832 d2.dn_loss_bbox: 0.1837 d2.dn_loss_iou: 0.2236 d3.dn_loss_cls: 0.0746 d3.dn_loss_bbox: 0.1763 d3.dn_loss_iou: 0.2168 d4.dn_loss_cls: 0.0717 d4.dn_loss_bbox: 0.1745 d4.dn_loss_iou: 0.2153 d1.loss_lmm_region: 0.1105 loss_lmm_image: 0.7081 +2024/11/08 20:32:52 - mmengine - INFO - Iter(train) [133200/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:52:16 time: 1.0328 data_time: 0.0187 memory: 23708 grad_norm: 20.8937 loss: 9.7932 loss_cls: 0.2827 loss_bbox: 0.1743 loss_iou: 0.2704 d0.loss_cls: 0.3209 d0.loss_bbox: 0.1814 d0.loss_iou: 0.2849 d1.loss_cls: 0.3013 d1.loss_bbox: 0.1720 d1.loss_iou: 0.2726 d2.loss_cls: 0.2976 d2.loss_bbox: 0.1698 d2.loss_iou: 0.2693 d3.loss_cls: 0.2883 d3.loss_bbox: 0.1738 d3.loss_iou: 0.2714 d4.loss_cls: 0.2841 d4.loss_bbox: 0.1723 d4.loss_iou: 0.2697 enc_loss_cls: 0.3395 enc_loss_bbox: 0.1885 enc_loss_iou: 0.2972 dn_loss_cls: 0.0756 dn_loss_bbox: 0.2100 dn_loss_iou: 0.2417 d0.dn_loss_cls: 0.1726 d0.dn_loss_bbox: 0.4072 d0.dn_loss_iou: 0.4093 d1.dn_loss_cls: 0.1099 d1.dn_loss_bbox: 0.2563 d1.dn_loss_iou: 0.2802 d2.dn_loss_cls: 0.0918 d2.dn_loss_bbox: 0.2223 d2.dn_loss_iou: 0.2518 d3.dn_loss_cls: 0.0799 d3.dn_loss_bbox: 0.2109 d3.dn_loss_iou: 0.2432 d4.dn_loss_cls: 0.0760 d4.dn_loss_bbox: 0.2099 d4.dn_loss_iou: 0.2416 d1.loss_lmm_region: 0.1068 loss_lmm_image: 0.6139 +2024/11/08 20:34:34 - mmengine - INFO - Iter(train) [133300/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:50:32 time: 1.0163 data_time: 0.0188 memory: 23464 grad_norm: 20.6067 loss: 9.6239 loss_cls: 0.2973 loss_bbox: 0.1578 loss_iou: 0.2791 d0.loss_cls: 0.3268 d0.loss_bbox: 0.1701 d0.loss_iou: 0.2922 d1.loss_cls: 0.3056 d1.loss_bbox: 0.1649 d1.loss_iou: 0.2855 d2.loss_cls: 0.3011 d2.loss_bbox: 0.1605 d2.loss_iou: 0.2823 d3.loss_cls: 0.3008 d3.loss_bbox: 0.1589 d3.loss_iou: 0.2791 d4.loss_cls: 0.2970 d4.loss_bbox: 0.1590 d4.loss_iou: 0.2811 enc_loss_cls: 0.3454 enc_loss_bbox: 0.1780 enc_loss_iou: 0.3119 dn_loss_cls: 0.0651 dn_loss_bbox: 0.1893 dn_loss_iou: 0.2389 d0.dn_loss_cls: 0.1562 d0.dn_loss_bbox: 0.3525 d0.dn_loss_iou: 0.3915 d1.dn_loss_cls: 0.0970 d1.dn_loss_bbox: 0.2265 d1.dn_loss_iou: 0.2727 d2.dn_loss_cls: 0.0788 d2.dn_loss_bbox: 0.1979 d2.dn_loss_iou: 0.2477 d3.dn_loss_cls: 0.0696 d3.dn_loss_bbox: 0.1915 d3.dn_loss_iou: 0.2408 d4.dn_loss_cls: 0.0658 d4.dn_loss_bbox: 0.1894 d4.dn_loss_iou: 0.2389 d1.loss_lmm_region: 0.0994 loss_lmm_image: 0.6801 +2024/11/08 20:36:18 - mmengine - INFO - Iter(train) [133400/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:48:47 time: 1.0381 data_time: 0.0190 memory: 23315 grad_norm: 22.9753 loss: 9.6040 loss_cls: 0.2997 loss_bbox: 0.1539 loss_iou: 0.2588 d0.loss_cls: 0.3306 d0.loss_bbox: 0.1717 d0.loss_iou: 0.2755 d1.loss_cls: 0.3143 d1.loss_bbox: 0.1589 d1.loss_iou: 0.2654 d2.loss_cls: 0.3043 d2.loss_bbox: 0.1594 d2.loss_iou: 0.2654 d3.loss_cls: 0.3048 d3.loss_bbox: 0.1565 d3.loss_iou: 0.2619 d4.loss_cls: 0.2999 d4.loss_bbox: 0.1535 d4.loss_iou: 0.2587 enc_loss_cls: 0.3534 enc_loss_bbox: 0.1736 enc_loss_iou: 0.2876 dn_loss_cls: 0.0984 dn_loss_bbox: 0.1858 dn_loss_iou: 0.2258 d0.dn_loss_cls: 0.1905 d0.dn_loss_bbox: 0.3149 d0.dn_loss_iou: 0.3707 d1.dn_loss_cls: 0.1327 d1.dn_loss_bbox: 0.2123 d1.dn_loss_iou: 0.2569 d2.dn_loss_cls: 0.1146 d2.dn_loss_bbox: 0.1928 d2.dn_loss_iou: 0.2342 d3.dn_loss_cls: 0.1058 d3.dn_loss_bbox: 0.1872 d3.dn_loss_iou: 0.2272 d4.dn_loss_cls: 0.1000 d4.dn_loss_bbox: 0.1857 d4.dn_loss_iou: 0.2257 d1.loss_lmm_region: 0.1146 loss_lmm_image: 0.7206 +2024/11/08 20:38:00 - mmengine - INFO - Iter(train) [133500/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:47:03 time: 1.0296 data_time: 0.0187 memory: 23082 grad_norm: 22.0128 loss: 9.4528 loss_cls: 0.3146 loss_bbox: 0.1689 loss_iou: 0.2707 d0.loss_cls: 0.3386 d0.loss_bbox: 0.1893 d0.loss_iou: 0.2919 d1.loss_cls: 0.3243 d1.loss_bbox: 0.1736 d1.loss_iou: 0.2776 d2.loss_cls: 0.3185 d2.loss_bbox: 0.1687 d2.loss_iou: 0.2718 d3.loss_cls: 0.3160 d3.loss_bbox: 0.1705 d3.loss_iou: 0.2702 d4.loss_cls: 0.3145 d4.loss_bbox: 0.1704 d4.loss_iou: 0.2731 enc_loss_cls: 0.3580 enc_loss_bbox: 0.1939 enc_loss_iou: 0.3064 dn_loss_cls: 0.0641 dn_loss_bbox: 0.1743 dn_loss_iou: 0.2092 d0.dn_loss_cls: 0.1448 d0.dn_loss_bbox: 0.3102 d0.dn_loss_iou: 0.3405 d1.dn_loss_cls: 0.0913 d1.dn_loss_bbox: 0.2043 d1.dn_loss_iou: 0.2362 d2.dn_loss_cls: 0.0761 d2.dn_loss_bbox: 0.1855 d2.dn_loss_iou: 0.2175 d3.dn_loss_cls: 0.0685 d3.dn_loss_bbox: 0.1765 d3.dn_loss_iou: 0.2104 d4.dn_loss_cls: 0.0649 d4.dn_loss_bbox: 0.1742 d4.dn_loss_iou: 0.2092 d1.loss_lmm_region: 0.0992 loss_lmm_image: 0.7141 +2024/11/08 20:39:43 - mmengine - INFO - Iter(train) [133600/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:45:18 time: 1.0270 data_time: 0.0186 memory: 23958 grad_norm: 17.7910 loss: 9.4313 loss_cls: 0.3082 loss_bbox: 0.1496 loss_iou: 0.2964 d0.loss_cls: 0.3405 d0.loss_bbox: 0.1579 d0.loss_iou: 0.3133 d1.loss_cls: 0.3268 d1.loss_bbox: 0.1542 d1.loss_iou: 0.3022 d2.loss_cls: 0.3169 d2.loss_bbox: 0.1488 d2.loss_iou: 0.2995 d3.loss_cls: 0.3141 d3.loss_bbox: 0.1471 d3.loss_iou: 0.2949 d4.loss_cls: 0.3085 d4.loss_bbox: 0.1500 d4.loss_iou: 0.2966 enc_loss_cls: 0.3563 enc_loss_bbox: 0.1771 enc_loss_iou: 0.3340 dn_loss_cls: 0.0763 dn_loss_bbox: 0.1499 dn_loss_iou: 0.2188 d0.dn_loss_cls: 0.1657 d0.dn_loss_bbox: 0.2820 d0.dn_loss_iou: 0.3636 d1.dn_loss_cls: 0.1103 d1.dn_loss_bbox: 0.1799 d1.dn_loss_iou: 0.2511 d2.dn_loss_cls: 0.0973 d2.dn_loss_bbox: 0.1582 d2.dn_loss_iou: 0.2268 d3.dn_loss_cls: 0.0845 d3.dn_loss_bbox: 0.1519 d3.dn_loss_iou: 0.2208 d4.dn_loss_cls: 0.0778 d4.dn_loss_bbox: 0.1500 d4.dn_loss_iou: 0.2188 d1.loss_lmm_region: 0.0950 loss_lmm_image: 0.6594 +2024/11/08 20:41:25 - mmengine - INFO - Iter(train) [133700/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:43:33 time: 1.0270 data_time: 0.0186 memory: 23008 grad_norm: 18.5085 loss: 9.4975 loss_cls: 0.2950 loss_bbox: 0.1439 loss_iou: 0.2796 d0.loss_cls: 0.3225 d0.loss_bbox: 0.1526 d0.loss_iou: 0.2929 d1.loss_cls: 0.3053 d1.loss_bbox: 0.1479 d1.loss_iou: 0.2836 d2.loss_cls: 0.3003 d2.loss_bbox: 0.1452 d2.loss_iou: 0.2826 d3.loss_cls: 0.2986 d3.loss_bbox: 0.1423 d3.loss_iou: 0.2795 d4.loss_cls: 0.2986 d4.loss_bbox: 0.1437 d4.loss_iou: 0.2788 enc_loss_cls: 0.3350 enc_loss_bbox: 0.1597 enc_loss_iou: 0.3017 dn_loss_cls: 0.0998 dn_loss_bbox: 0.1670 dn_loss_iou: 0.2347 d0.dn_loss_cls: 0.1888 d0.dn_loss_bbox: 0.3134 d0.dn_loss_iou: 0.3799 d1.dn_loss_cls: 0.1304 d1.dn_loss_bbox: 0.1971 d1.dn_loss_iou: 0.2652 d2.dn_loss_cls: 0.1141 d2.dn_loss_bbox: 0.1737 d2.dn_loss_iou: 0.2418 d3.dn_loss_cls: 0.1055 d3.dn_loss_bbox: 0.1685 d3.dn_loss_iou: 0.2362 d4.dn_loss_cls: 0.1004 d4.dn_loss_bbox: 0.1669 d4.dn_loss_iou: 0.2347 d1.loss_lmm_region: 0.1143 loss_lmm_image: 0.6756 +2024/11/08 20:43:08 - mmengine - INFO - Iter(train) [133800/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:41:49 time: 1.0244 data_time: 0.0187 memory: 24071 grad_norm: 18.5283 loss: 7.3024 loss_cls: 0.2174 loss_bbox: 0.1084 loss_iou: 0.2012 d0.loss_cls: 0.2425 d0.loss_bbox: 0.1182 d0.loss_iou: 0.2191 d1.loss_cls: 0.2280 d1.loss_bbox: 0.1106 d1.loss_iou: 0.2067 d2.loss_cls: 0.2259 d2.loss_bbox: 0.1082 d2.loss_iou: 0.2006 d3.loss_cls: 0.2227 d3.loss_bbox: 0.1072 d3.loss_iou: 0.2017 d4.loss_cls: 0.2160 d4.loss_bbox: 0.1087 d4.loss_iou: 0.2011 enc_loss_cls: 0.2649 enc_loss_bbox: 0.1318 enc_loss_iou: 0.2360 dn_loss_cls: 0.0474 dn_loss_bbox: 0.1303 dn_loss_iou: 0.1791 d0.dn_loss_cls: 0.1221 d0.dn_loss_bbox: 0.2797 d0.dn_loss_iou: 0.3223 d1.dn_loss_cls: 0.0712 d1.dn_loss_bbox: 0.1581 d1.dn_loss_iou: 0.2065 d2.dn_loss_cls: 0.0572 d2.dn_loss_bbox: 0.1375 d2.dn_loss_iou: 0.1860 d3.dn_loss_cls: 0.0511 d3.dn_loss_bbox: 0.1310 d3.dn_loss_iou: 0.1801 d4.dn_loss_cls: 0.0478 d4.dn_loss_bbox: 0.1304 d4.dn_loss_iou: 0.1790 d1.loss_lmm_region: 0.0814 loss_lmm_image: 0.7274 +2024/11/08 20:44:51 - mmengine - INFO - Iter(train) [133900/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:40:04 time: 1.0290 data_time: 0.0188 memory: 23910 grad_norm: 20.5801 loss: 9.1351 loss_cls: 0.2797 loss_bbox: 0.1557 loss_iou: 0.2760 d0.loss_cls: 0.3165 d0.loss_bbox: 0.1615 d0.loss_iou: 0.2880 d1.loss_cls: 0.2991 d1.loss_bbox: 0.1562 d1.loss_iou: 0.2799 d2.loss_cls: 0.2921 d2.loss_bbox: 0.1537 d2.loss_iou: 0.2772 d3.loss_cls: 0.2852 d3.loss_bbox: 0.1554 d3.loss_iou: 0.2744 d4.loss_cls: 0.2796 d4.loss_bbox: 0.1560 d4.loss_iou: 0.2756 enc_loss_cls: 0.3346 enc_loss_bbox: 0.1775 enc_loss_iou: 0.3048 dn_loss_cls: 0.0840 dn_loss_bbox: 0.1561 dn_loss_iou: 0.2104 d0.dn_loss_cls: 0.1558 d0.dn_loss_bbox: 0.3042 d0.dn_loss_iou: 0.3478 d1.dn_loss_cls: 0.1120 d1.dn_loss_bbox: 0.1864 d1.dn_loss_iou: 0.2385 d2.dn_loss_cls: 0.0994 d2.dn_loss_bbox: 0.1624 d2.dn_loss_iou: 0.2175 d3.dn_loss_cls: 0.0880 d3.dn_loss_bbox: 0.1562 d3.dn_loss_iou: 0.2114 d4.dn_loss_cls: 0.0851 d4.dn_loss_bbox: 0.1561 d4.dn_loss_iou: 0.2104 d1.loss_lmm_region: 0.1065 loss_lmm_image: 0.6681 +2024/11/08 20:46:33 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/08 20:46:33 - mmengine - INFO - Iter(train) [134000/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:38:20 time: 1.0228 data_time: 0.0190 memory: 23123 grad_norm: 21.8891 loss: 9.1556 loss_cls: 0.3110 loss_bbox: 0.1484 loss_iou: 0.2704 d0.loss_cls: 0.3600 d0.loss_bbox: 0.1535 d0.loss_iou: 0.2787 d1.loss_cls: 0.3332 d1.loss_bbox: 0.1451 d1.loss_iou: 0.2745 d2.loss_cls: 0.3270 d2.loss_bbox: 0.1432 d2.loss_iou: 0.2672 d3.loss_cls: 0.3200 d3.loss_bbox: 0.1452 d3.loss_iou: 0.2680 d4.loss_cls: 0.3154 d4.loss_bbox: 0.1458 d4.loss_iou: 0.2694 enc_loss_cls: 0.3775 enc_loss_bbox: 0.1701 enc_loss_iou: 0.2960 dn_loss_cls: 0.0823 dn_loss_bbox: 0.1483 dn_loss_iou: 0.1970 d0.dn_loss_cls: 0.1590 d0.dn_loss_bbox: 0.2830 d0.dn_loss_iou: 0.3245 d1.dn_loss_cls: 0.1061 d1.dn_loss_bbox: 0.1795 d1.dn_loss_iou: 0.2241 d2.dn_loss_cls: 0.0916 d2.dn_loss_bbox: 0.1575 d2.dn_loss_iou: 0.2044 d3.dn_loss_cls: 0.0870 d3.dn_loss_bbox: 0.1503 d3.dn_loss_iou: 0.1985 d4.dn_loss_cls: 0.0825 d4.dn_loss_bbox: 0.1484 d4.dn_loss_iou: 0.1971 d1.loss_lmm_region: 0.1060 loss_lmm_image: 0.7089 +2024/11/08 20:48:16 - mmengine - INFO - Iter(train) [134100/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:36:35 time: 1.0267 data_time: 0.0188 memory: 23433 grad_norm: 20.5916 loss: 8.2102 loss_cls: 0.2699 loss_bbox: 0.1168 loss_iou: 0.2386 d0.loss_cls: 0.3025 d0.loss_bbox: 0.1265 d0.loss_iou: 0.2542 d1.loss_cls: 0.2845 d1.loss_bbox: 0.1216 d1.loss_iou: 0.2441 d2.loss_cls: 0.2766 d2.loss_bbox: 0.1161 d2.loss_iou: 0.2394 d3.loss_cls: 0.2764 d3.loss_bbox: 0.1149 d3.loss_iou: 0.2389 d4.loss_cls: 0.2719 d4.loss_bbox: 0.1181 d4.loss_iou: 0.2387 enc_loss_cls: 0.3163 enc_loss_bbox: 0.1381 enc_loss_iou: 0.2730 dn_loss_cls: 0.0724 dn_loss_bbox: 0.1303 dn_loss_iou: 0.1934 d0.dn_loss_cls: 0.1492 d0.dn_loss_bbox: 0.2618 d0.dn_loss_iou: 0.3245 d1.dn_loss_cls: 0.1019 d1.dn_loss_bbox: 0.1584 d1.dn_loss_iou: 0.2222 d2.dn_loss_cls: 0.0890 d2.dn_loss_bbox: 0.1373 d2.dn_loss_iou: 0.2014 d3.dn_loss_cls: 0.0781 d3.dn_loss_bbox: 0.1308 d3.dn_loss_iou: 0.1946 d4.dn_loss_cls: 0.0739 d4.dn_loss_bbox: 0.1304 d4.dn_loss_iou: 0.1935 d1.loss_lmm_region: 0.1035 loss_lmm_image: 0.6863 +2024/11/08 20:49:58 - mmengine - INFO - Iter(train) [134200/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:34:50 time: 1.0120 data_time: 0.0188 memory: 23455 grad_norm: 22.9755 loss: 8.4968 loss_cls: 0.2588 loss_bbox: 0.1335 loss_iou: 0.2488 d0.loss_cls: 0.2943 d0.loss_bbox: 0.1427 d0.loss_iou: 0.2644 d1.loss_cls: 0.2759 d1.loss_bbox: 0.1383 d1.loss_iou: 0.2528 d2.loss_cls: 0.2653 d2.loss_bbox: 0.1325 d2.loss_iou: 0.2504 d3.loss_cls: 0.2655 d3.loss_bbox: 0.1320 d3.loss_iou: 0.2478 d4.loss_cls: 0.2596 d4.loss_bbox: 0.1340 d4.loss_iou: 0.2490 enc_loss_cls: 0.3170 enc_loss_bbox: 0.1531 enc_loss_iou: 0.2758 dn_loss_cls: 0.0721 dn_loss_bbox: 0.1478 dn_loss_iou: 0.1969 d0.dn_loss_cls: 0.1653 d0.dn_loss_bbox: 0.2952 d0.dn_loss_iou: 0.3316 d1.dn_loss_cls: 0.1096 d1.dn_loss_bbox: 0.1794 d1.dn_loss_iou: 0.2275 d2.dn_loss_cls: 0.0874 d2.dn_loss_bbox: 0.1559 d2.dn_loss_iou: 0.2048 d3.dn_loss_cls: 0.0801 d3.dn_loss_bbox: 0.1498 d3.dn_loss_iou: 0.1983 d4.dn_loss_cls: 0.0743 d4.dn_loss_bbox: 0.1478 d4.dn_loss_iou: 0.1968 d1.loss_lmm_region: 0.1080 loss_lmm_image: 0.6767 +2024/11/08 20:51:41 - mmengine - INFO - Iter(train) [134300/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:33:06 time: 1.0263 data_time: 0.0187 memory: 23074 grad_norm: 17.7196 loss: 9.1033 loss_cls: 0.2634 loss_bbox: 0.1469 loss_iou: 0.2515 d0.loss_cls: 0.2909 d0.loss_bbox: 0.1618 d0.loss_iou: 0.2688 d1.loss_cls: 0.2752 d1.loss_bbox: 0.1521 d1.loss_iou: 0.2583 d2.loss_cls: 0.2685 d2.loss_bbox: 0.1474 d2.loss_iou: 0.2527 d3.loss_cls: 0.2616 d3.loss_bbox: 0.1500 d3.loss_iou: 0.2532 d4.loss_cls: 0.2612 d4.loss_bbox: 0.1497 d4.loss_iou: 0.2528 enc_loss_cls: 0.3019 enc_loss_bbox: 0.1705 enc_loss_iou: 0.2847 dn_loss_cls: 0.0783 dn_loss_bbox: 0.1809 dn_loss_iou: 0.2309 d0.dn_loss_cls: 0.1633 d0.dn_loss_bbox: 0.3345 d0.dn_loss_iou: 0.3812 d1.dn_loss_cls: 0.1071 d1.dn_loss_bbox: 0.2202 d1.dn_loss_iou: 0.2657 d2.dn_loss_cls: 0.0913 d2.dn_loss_bbox: 0.1916 d2.dn_loss_iou: 0.2404 d3.dn_loss_cls: 0.0839 d3.dn_loss_bbox: 0.1820 d3.dn_loss_iou: 0.2326 d4.dn_loss_cls: 0.0793 d4.dn_loss_bbox: 0.1809 d4.dn_loss_iou: 0.2308 d1.loss_lmm_region: 0.1065 loss_lmm_image: 0.6987 +2024/11/08 20:53:23 - mmengine - INFO - Iter(train) [134400/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:31:21 time: 1.0218 data_time: 0.0188 memory: 23450 grad_norm: 18.7883 loss: 9.1558 loss_cls: 0.2833 loss_bbox: 0.1469 loss_iou: 0.2693 d0.loss_cls: 0.3114 d0.loss_bbox: 0.1575 d0.loss_iou: 0.2869 d1.loss_cls: 0.2978 d1.loss_bbox: 0.1509 d1.loss_iou: 0.2746 d2.loss_cls: 0.2913 d2.loss_bbox: 0.1466 d2.loss_iou: 0.2699 d3.loss_cls: 0.2902 d3.loss_bbox: 0.1461 d3.loss_iou: 0.2675 d4.loss_cls: 0.2864 d4.loss_bbox: 0.1467 d4.loss_iou: 0.2687 enc_loss_cls: 0.3247 enc_loss_bbox: 0.1754 enc_loss_iou: 0.3020 dn_loss_cls: 0.0704 dn_loss_bbox: 0.1719 dn_loss_iou: 0.2202 d0.dn_loss_cls: 0.1666 d0.dn_loss_bbox: 0.3306 d0.dn_loss_iou: 0.3708 d1.dn_loss_cls: 0.1031 d1.dn_loss_bbox: 0.2055 d1.dn_loss_iou: 0.2524 d2.dn_loss_cls: 0.0842 d2.dn_loss_bbox: 0.1782 d2.dn_loss_iou: 0.2286 d3.dn_loss_cls: 0.0741 d3.dn_loss_bbox: 0.1727 d3.dn_loss_iou: 0.2215 d4.dn_loss_cls: 0.0702 d4.dn_loss_bbox: 0.1718 d4.dn_loss_iou: 0.2201 d1.loss_lmm_region: 0.1084 loss_lmm_image: 0.6407 +2024/11/08 20:55:07 - mmengine - INFO - Iter(train) [134500/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:29:37 time: 1.0408 data_time: 0.0189 memory: 24628 grad_norm: 22.3112 loss: 8.7768 loss_cls: 0.2674 loss_bbox: 0.1358 loss_iou: 0.2569 d0.loss_cls: 0.3018 d0.loss_bbox: 0.1525 d0.loss_iou: 0.2815 d1.loss_cls: 0.2848 d1.loss_bbox: 0.1418 d1.loss_iou: 0.2670 d2.loss_cls: 0.2814 d2.loss_bbox: 0.1359 d2.loss_iou: 0.2582 d3.loss_cls: 0.2728 d3.loss_bbox: 0.1375 d3.loss_iou: 0.2584 d4.loss_cls: 0.2681 d4.loss_bbox: 0.1363 d4.loss_iou: 0.2573 enc_loss_cls: 0.3194 enc_loss_bbox: 0.1621 enc_loss_iou: 0.2981 dn_loss_cls: 0.0682 dn_loss_bbox: 0.1551 dn_loss_iou: 0.2093 d0.dn_loss_cls: 0.1553 d0.dn_loss_bbox: 0.3004 d0.dn_loss_iou: 0.3507 d1.dn_loss_cls: 0.1019 d1.dn_loss_bbox: 0.1888 d1.dn_loss_iou: 0.2392 d2.dn_loss_cls: 0.0831 d2.dn_loss_bbox: 0.1630 d2.dn_loss_iou: 0.2159 d3.dn_loss_cls: 0.0742 d3.dn_loss_bbox: 0.1564 d3.dn_loss_iou: 0.2101 d4.dn_loss_cls: 0.0690 d4.dn_loss_bbox: 0.1552 d4.dn_loss_iou: 0.2092 d1.loss_lmm_region: 0.1066 loss_lmm_image: 0.6898 +2024/11/08 20:56:49 - mmengine - INFO - Iter(train) [134600/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:27:52 time: 1.0252 data_time: 0.0189 memory: 23945 grad_norm: 23.1992 loss: 8.7284 loss_cls: 0.2642 loss_bbox: 0.1410 loss_iou: 0.2372 d0.loss_cls: 0.2920 d0.loss_bbox: 0.1539 d0.loss_iou: 0.2507 d1.loss_cls: 0.2764 d1.loss_bbox: 0.1453 d1.loss_iou: 0.2387 d2.loss_cls: 0.2722 d2.loss_bbox: 0.1422 d2.loss_iou: 0.2359 d3.loss_cls: 0.2677 d3.loss_bbox: 0.1415 d3.loss_iou: 0.2383 d4.loss_cls: 0.2637 d4.loss_bbox: 0.1415 d4.loss_iou: 0.2374 enc_loss_cls: 0.3118 enc_loss_bbox: 0.1684 enc_loss_iou: 0.2687 dn_loss_cls: 0.0779 dn_loss_bbox: 0.1696 dn_loss_iou: 0.2127 d0.dn_loss_cls: 0.1641 d0.dn_loss_bbox: 0.3093 d0.dn_loss_iou: 0.3487 d1.dn_loss_cls: 0.1107 d1.dn_loss_bbox: 0.2019 d1.dn_loss_iou: 0.2413 d2.dn_loss_cls: 0.0948 d2.dn_loss_bbox: 0.1766 d2.dn_loss_iou: 0.2199 d3.dn_loss_cls: 0.0842 d3.dn_loss_bbox: 0.1711 d3.dn_loss_iou: 0.2137 d4.dn_loss_cls: 0.0789 d4.dn_loss_bbox: 0.1697 d4.dn_loss_iou: 0.2126 d1.loss_lmm_region: 0.1109 loss_lmm_image: 0.6709 +2024/11/08 20:58:32 - mmengine - INFO - Iter(train) [134700/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:26:08 time: 1.0243 data_time: 0.0188 memory: 24747 grad_norm: 20.3335 loss: 8.6746 loss_cls: 0.2621 loss_bbox: 0.1253 loss_iou: 0.2405 d0.loss_cls: 0.2900 d0.loss_bbox: 0.1404 d0.loss_iou: 0.2542 d1.loss_cls: 0.2791 d1.loss_bbox: 0.1281 d1.loss_iou: 0.2401 d2.loss_cls: 0.2741 d2.loss_bbox: 0.1273 d2.loss_iou: 0.2384 d3.loss_cls: 0.2628 d3.loss_bbox: 0.1262 d3.loss_iou: 0.2401 d4.loss_cls: 0.2632 d4.loss_bbox: 0.1265 d4.loss_iou: 0.2381 enc_loss_cls: 0.3115 enc_loss_bbox: 0.1503 enc_loss_iou: 0.2700 dn_loss_cls: 0.0822 dn_loss_bbox: 0.1515 dn_loss_iou: 0.2247 d0.dn_loss_cls: 0.1849 d0.dn_loss_bbox: 0.3039 d0.dn_loss_iou: 0.3741 d1.dn_loss_cls: 0.1184 d1.dn_loss_bbox: 0.1843 d1.dn_loss_iou: 0.2557 d2.dn_loss_cls: 0.1017 d2.dn_loss_bbox: 0.1631 d2.dn_loss_iou: 0.2332 d3.dn_loss_cls: 0.0885 d3.dn_loss_bbox: 0.1539 d3.dn_loss_iou: 0.2259 d4.dn_loss_cls: 0.0829 d4.dn_loss_bbox: 0.1517 d4.dn_loss_iou: 0.2248 d1.loss_lmm_region: 0.1273 loss_lmm_image: 0.6535 +2024/11/08 21:00:15 - mmengine - INFO - Iter(train) [134800/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:24:23 time: 1.0236 data_time: 0.0187 memory: 23336 grad_norm: 18.6631 loss: 8.0374 loss_cls: 0.2540 loss_bbox: 0.1238 loss_iou: 0.2169 d0.loss_cls: 0.2812 d0.loss_bbox: 0.1370 d0.loss_iou: 0.2367 d1.loss_cls: 0.2647 d1.loss_bbox: 0.1289 d1.loss_iou: 0.2205 d2.loss_cls: 0.2618 d2.loss_bbox: 0.1222 d2.loss_iou: 0.2160 d3.loss_cls: 0.2580 d3.loss_bbox: 0.1231 d3.loss_iou: 0.2174 d4.loss_cls: 0.2538 d4.loss_bbox: 0.1234 d4.loss_iou: 0.2166 enc_loss_cls: 0.2991 enc_loss_bbox: 0.1514 enc_loss_iou: 0.2565 dn_loss_cls: 0.0717 dn_loss_bbox: 0.1456 dn_loss_iou: 0.1836 d0.dn_loss_cls: 0.1500 d0.dn_loss_bbox: 0.2973 d0.dn_loss_iou: 0.3283 d1.dn_loss_cls: 0.0991 d1.dn_loss_bbox: 0.1765 d1.dn_loss_iou: 0.2150 d2.dn_loss_cls: 0.0847 d2.dn_loss_bbox: 0.1536 d2.dn_loss_iou: 0.1918 d3.dn_loss_cls: 0.0758 d3.dn_loss_bbox: 0.1467 d3.dn_loss_iou: 0.1850 d4.dn_loss_cls: 0.0724 d4.dn_loss_bbox: 0.1456 d4.dn_loss_iou: 0.1835 d1.loss_lmm_region: 0.0849 loss_lmm_image: 0.6830 +2024/11/08 21:01:57 - mmengine - INFO - Iter(train) [134900/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:22:39 time: 1.0280 data_time: 0.0187 memory: 23633 grad_norm: 21.0381 loss: 8.1898 loss_cls: 0.2522 loss_bbox: 0.1262 loss_iou: 0.2273 d0.loss_cls: 0.2786 d0.loss_bbox: 0.1416 d0.loss_iou: 0.2477 d1.loss_cls: 0.2661 d1.loss_bbox: 0.1299 d1.loss_iou: 0.2350 d2.loss_cls: 0.2611 d2.loss_bbox: 0.1292 d2.loss_iou: 0.2284 d3.loss_cls: 0.2577 d3.loss_bbox: 0.1241 d3.loss_iou: 0.2273 d4.loss_cls: 0.2543 d4.loss_bbox: 0.1256 d4.loss_iou: 0.2272 enc_loss_cls: 0.2993 enc_loss_bbox: 0.1506 enc_loss_iou: 0.2642 dn_loss_cls: 0.0665 dn_loss_bbox: 0.1367 dn_loss_iou: 0.2009 d0.dn_loss_cls: 0.1461 d0.dn_loss_bbox: 0.2788 d0.dn_loss_iou: 0.3530 d1.dn_loss_cls: 0.0912 d1.dn_loss_bbox: 0.1699 d1.dn_loss_iou: 0.2366 d2.dn_loss_cls: 0.0783 d2.dn_loss_bbox: 0.1474 d2.dn_loss_iou: 0.2111 d3.dn_loss_cls: 0.0699 d3.dn_loss_bbox: 0.1387 d3.dn_loss_iou: 0.2031 d4.dn_loss_cls: 0.0681 d4.dn_loss_bbox: 0.1366 d4.dn_loss_iou: 0.2011 d1.loss_lmm_region: 0.1015 loss_lmm_image: 0.7010 +2024/11/08 21:03:40 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/08 21:03:40 - mmengine - INFO - Iter(train) [135000/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:20:54 time: 1.0267 data_time: 0.0185 memory: 24194 grad_norm: 20.6375 loss: 8.5010 loss_cls: 0.2577 loss_bbox: 0.1265 loss_iou: 0.2408 d0.loss_cls: 0.3039 d0.loss_bbox: 0.1332 d0.loss_iou: 0.2516 d1.loss_cls: 0.2832 d1.loss_bbox: 0.1257 d1.loss_iou: 0.2421 d2.loss_cls: 0.2716 d2.loss_bbox: 0.1269 d2.loss_iou: 0.2405 d3.loss_cls: 0.2647 d3.loss_bbox: 0.1268 d3.loss_iou: 0.2400 d4.loss_cls: 0.2605 d4.loss_bbox: 0.1273 d4.loss_iou: 0.2403 enc_loss_cls: 0.3184 enc_loss_bbox: 0.1443 enc_loss_iou: 0.2707 dn_loss_cls: 0.0789 dn_loss_bbox: 0.1502 dn_loss_iou: 0.2034 d0.dn_loss_cls: 0.1572 d0.dn_loss_bbox: 0.2985 d0.dn_loss_iou: 0.3445 d1.dn_loss_cls: 0.1043 d1.dn_loss_bbox: 0.1849 d1.dn_loss_iou: 0.2343 d2.dn_loss_cls: 0.0899 d2.dn_loss_bbox: 0.1600 d2.dn_loss_iou: 0.2115 d3.dn_loss_cls: 0.0820 d3.dn_loss_bbox: 0.1515 d3.dn_loss_iou: 0.2053 d4.dn_loss_cls: 0.0805 d4.dn_loss_bbox: 0.1501 d4.dn_loss_iou: 0.2035 d1.loss_lmm_region: 0.1036 loss_lmm_image: 0.7102 +2024/11/08 21:05:23 - mmengine - INFO - Iter(train) [135100/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:19:09 time: 1.0215 data_time: 0.0192 memory: 23123 grad_norm: 22.8006 loss: 9.1824 loss_cls: 0.2921 loss_bbox: 0.1447 loss_iou: 0.2816 d0.loss_cls: 0.3235 d0.loss_bbox: 0.1534 d0.loss_iou: 0.3009 d1.loss_cls: 0.3136 d1.loss_bbox: 0.1441 d1.loss_iou: 0.2920 d2.loss_cls: 0.3060 d2.loss_bbox: 0.1415 d2.loss_iou: 0.2828 d3.loss_cls: 0.3015 d3.loss_bbox: 0.1401 d3.loss_iou: 0.2804 d4.loss_cls: 0.2968 d4.loss_bbox: 0.1409 d4.loss_iou: 0.2807 enc_loss_cls: 0.3492 enc_loss_bbox: 0.1620 enc_loss_iou: 0.3154 dn_loss_cls: 0.0816 dn_loss_bbox: 0.1481 dn_loss_iou: 0.2201 d0.dn_loss_cls: 0.1639 d0.dn_loss_bbox: 0.2752 d0.dn_loss_iou: 0.3635 d1.dn_loss_cls: 0.1092 d1.dn_loss_bbox: 0.1741 d1.dn_loss_iou: 0.2509 d2.dn_loss_cls: 0.0952 d2.dn_loss_bbox: 0.1531 d2.dn_loss_iou: 0.2269 d3.dn_loss_cls: 0.0872 d3.dn_loss_bbox: 0.1494 d3.dn_loss_iou: 0.2216 d4.dn_loss_cls: 0.0823 d4.dn_loss_bbox: 0.1482 d4.dn_loss_iou: 0.2201 d1.loss_lmm_region: 0.1141 loss_lmm_image: 0.6544 +2024/11/08 21:07:06 - mmengine - INFO - Iter(train) [135200/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:17:25 time: 1.0391 data_time: 0.0189 memory: 23176 grad_norm: 22.6305 loss: 8.8897 loss_cls: 0.2899 loss_bbox: 0.1357 loss_iou: 0.2869 d0.loss_cls: 0.3253 d0.loss_bbox: 0.1483 d0.loss_iou: 0.3058 d1.loss_cls: 0.3119 d1.loss_bbox: 0.1367 d1.loss_iou: 0.2887 d2.loss_cls: 0.2985 d2.loss_bbox: 0.1370 d2.loss_iou: 0.2851 d3.loss_cls: 0.2958 d3.loss_bbox: 0.1365 d3.loss_iou: 0.2854 d4.loss_cls: 0.2900 d4.loss_bbox: 0.1361 d4.loss_iou: 0.2877 enc_loss_cls: 0.3490 enc_loss_bbox: 0.1579 enc_loss_iou: 0.3255 dn_loss_cls: 0.0632 dn_loss_bbox: 0.1300 dn_loss_iou: 0.2012 d0.dn_loss_cls: 0.1470 d0.dn_loss_bbox: 0.2726 d0.dn_loss_iou: 0.3460 d1.dn_loss_cls: 0.0924 d1.dn_loss_bbox: 0.1613 d1.dn_loss_iou: 0.2327 d2.dn_loss_cls: 0.0740 d2.dn_loss_bbox: 0.1374 d2.dn_loss_iou: 0.2092 d3.dn_loss_cls: 0.0678 d3.dn_loss_bbox: 0.1310 d3.dn_loss_iou: 0.2028 d4.dn_loss_cls: 0.0630 d4.dn_loss_bbox: 0.1301 d4.dn_loss_iou: 0.2013 d1.loss_lmm_region: 0.0965 loss_lmm_image: 0.7164 +2024/11/08 21:08:49 - mmengine - INFO - Iter(train) [135300/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:15:40 time: 1.0269 data_time: 0.0188 memory: 24177 grad_norm: 23.5795 loss: 7.7985 loss_cls: 0.2413 loss_bbox: 0.1084 loss_iou: 0.2197 d0.loss_cls: 0.2738 d0.loss_bbox: 0.1223 d0.loss_iou: 0.2340 d1.loss_cls: 0.2591 d1.loss_bbox: 0.1129 d1.loss_iou: 0.2258 d2.loss_cls: 0.2570 d2.loss_bbox: 0.1098 d2.loss_iou: 0.2203 d3.loss_cls: 0.2479 d3.loss_bbox: 0.1092 d3.loss_iou: 0.2192 d4.loss_cls: 0.2450 d4.loss_bbox: 0.1076 d4.loss_iou: 0.2182 enc_loss_cls: 0.2912 enc_loss_bbox: 0.1324 enc_loss_iou: 0.2547 dn_loss_cls: 0.0688 dn_loss_bbox: 0.1378 dn_loss_iou: 0.1954 d0.dn_loss_cls: 0.1436 d0.dn_loss_bbox: 0.2662 d0.dn_loss_iou: 0.3376 d1.dn_loss_cls: 0.0919 d1.dn_loss_bbox: 0.1639 d1.dn_loss_iou: 0.2273 d2.dn_loss_cls: 0.0776 d2.dn_loss_bbox: 0.1451 d2.dn_loss_iou: 0.2028 d3.dn_loss_cls: 0.0711 d3.dn_loss_bbox: 0.1391 d3.dn_loss_iou: 0.1966 d4.dn_loss_cls: 0.0689 d4.dn_loss_bbox: 0.1379 d4.dn_loss_iou: 0.1955 d1.loss_lmm_region: 0.1046 loss_lmm_image: 0.6169 +2024/11/08 21:10:32 - mmengine - INFO - Iter(train) [135400/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:13:56 time: 1.0325 data_time: 0.0188 memory: 23963 grad_norm: 21.2948 loss: 9.1142 loss_cls: 0.3018 loss_bbox: 0.1395 loss_iou: 0.2762 d0.loss_cls: 0.3453 d0.loss_bbox: 0.1557 d0.loss_iou: 0.2930 d1.loss_cls: 0.3246 d1.loss_bbox: 0.1447 d1.loss_iou: 0.2849 d2.loss_cls: 0.3167 d2.loss_bbox: 0.1360 d2.loss_iou: 0.2758 d3.loss_cls: 0.3069 d3.loss_bbox: 0.1399 d3.loss_iou: 0.2764 d4.loss_cls: 0.3036 d4.loss_bbox: 0.1391 d4.loss_iou: 0.2756 enc_loss_cls: 0.3646 enc_loss_bbox: 0.1720 enc_loss_iou: 0.3158 dn_loss_cls: 0.0671 dn_loss_bbox: 0.1562 dn_loss_iou: 0.2037 d0.dn_loss_cls: 0.1497 d0.dn_loss_bbox: 0.3027 d0.dn_loss_iou: 0.3487 d1.dn_loss_cls: 0.0959 d1.dn_loss_bbox: 0.1891 d1.dn_loss_iou: 0.2360 d2.dn_loss_cls: 0.0824 d2.dn_loss_bbox: 0.1653 d2.dn_loss_iou: 0.2116 d3.dn_loss_cls: 0.0722 d3.dn_loss_bbox: 0.1571 d3.dn_loss_iou: 0.2049 d4.dn_loss_cls: 0.0688 d4.dn_loss_bbox: 0.1563 d4.dn_loss_iou: 0.2039 d1.loss_lmm_region: 0.0913 loss_lmm_image: 0.6632 +2024/11/08 21:12:15 - mmengine - INFO - Iter(train) [135500/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:12:11 time: 1.0248 data_time: 0.0190 memory: 22919 grad_norm: 19.6736 loss: 9.3597 loss_cls: 0.2948 loss_bbox: 0.1616 loss_iou: 0.2834 d0.loss_cls: 0.3305 d0.loss_bbox: 0.1735 d0.loss_iou: 0.2987 d1.loss_cls: 0.3165 d1.loss_bbox: 0.1625 d1.loss_iou: 0.2836 d2.loss_cls: 0.3106 d2.loss_bbox: 0.1605 d2.loss_iou: 0.2813 d3.loss_cls: 0.3020 d3.loss_bbox: 0.1644 d3.loss_iou: 0.2831 d4.loss_cls: 0.2964 d4.loss_bbox: 0.1620 d4.loss_iou: 0.2828 enc_loss_cls: 0.3483 enc_loss_bbox: 0.1833 enc_loss_iou: 0.3110 dn_loss_cls: 0.0827 dn_loss_bbox: 0.1499 dn_loss_iou: 0.2219 d0.dn_loss_cls: 0.1689 d0.dn_loss_bbox: 0.2890 d0.dn_loss_iou: 0.3635 d1.dn_loss_cls: 0.1122 d1.dn_loss_bbox: 0.1826 d1.dn_loss_iou: 0.2546 d2.dn_loss_cls: 0.0966 d2.dn_loss_bbox: 0.1612 d2.dn_loss_iou: 0.2311 d3.dn_loss_cls: 0.0868 d3.dn_loss_bbox: 0.1520 d3.dn_loss_iou: 0.2235 d4.dn_loss_cls: 0.0836 d4.dn_loss_bbox: 0.1499 d4.dn_loss_iou: 0.2220 d1.loss_lmm_region: 0.1181 loss_lmm_image: 0.6187 +2024/11/08 21:13:57 - mmengine - INFO - Iter(train) [135600/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:10:27 time: 1.0102 data_time: 0.0188 memory: 24144 grad_norm: 24.8148 loss: 8.9151 loss_cls: 0.2746 loss_bbox: 0.1518 loss_iou: 0.2761 d0.loss_cls: 0.3111 d0.loss_bbox: 0.1593 d0.loss_iou: 0.2891 d1.loss_cls: 0.2910 d1.loss_bbox: 0.1598 d1.loss_iou: 0.2814 d2.loss_cls: 0.2830 d2.loss_bbox: 0.1542 d2.loss_iou: 0.2792 d3.loss_cls: 0.2809 d3.loss_bbox: 0.1523 d3.loss_iou: 0.2772 d4.loss_cls: 0.2738 d4.loss_bbox: 0.1536 d4.loss_iou: 0.2770 enc_loss_cls: 0.3264 enc_loss_bbox: 0.1733 enc_loss_iou: 0.3050 dn_loss_cls: 0.0561 dn_loss_bbox: 0.1577 dn_loss_iou: 0.2139 d0.dn_loss_cls: 0.1412 d0.dn_loss_bbox: 0.2718 d0.dn_loss_iou: 0.3411 d1.dn_loss_cls: 0.0900 d1.dn_loss_bbox: 0.1868 d1.dn_loss_iou: 0.2428 d2.dn_loss_cls: 0.0731 d2.dn_loss_bbox: 0.1656 d2.dn_loss_iou: 0.2214 d3.dn_loss_cls: 0.0635 d3.dn_loss_bbox: 0.1591 d3.dn_loss_iou: 0.2150 d4.dn_loss_cls: 0.0572 d4.dn_loss_bbox: 0.1578 d4.dn_loss_iou: 0.2139 d1.loss_lmm_region: 0.0966 loss_lmm_image: 0.6601 +2024/11/08 21:15:40 - mmengine - INFO - Iter(train) [135700/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:08:42 time: 1.0265 data_time: 0.0189 memory: 23453 grad_norm: 20.1258 loss: 9.0188 loss_cls: 0.2823 loss_bbox: 0.1558 loss_iou: 0.2449 d0.loss_cls: 0.3158 d0.loss_bbox: 0.1633 d0.loss_iou: 0.2584 d1.loss_cls: 0.2982 d1.loss_bbox: 0.1600 d1.loss_iou: 0.2502 d2.loss_cls: 0.2884 d2.loss_bbox: 0.1570 d2.loss_iou: 0.2481 d3.loss_cls: 0.2865 d3.loss_bbox: 0.1553 d3.loss_iou: 0.2452 d4.loss_cls: 0.2836 d4.loss_bbox: 0.1552 d4.loss_iou: 0.2447 enc_loss_cls: 0.3399 enc_loss_bbox: 0.1703 enc_loss_iou: 0.2715 dn_loss_cls: 0.0593 dn_loss_bbox: 0.1763 dn_loss_iou: 0.2189 d0.dn_loss_cls: 0.1552 d0.dn_loss_bbox: 0.3381 d0.dn_loss_iou: 0.3763 d1.dn_loss_cls: 0.0919 d1.dn_loss_bbox: 0.2140 d1.dn_loss_iou: 0.2544 d2.dn_loss_cls: 0.0708 d2.dn_loss_bbox: 0.1858 d2.dn_loss_iou: 0.2293 d3.dn_loss_cls: 0.0637 d3.dn_loss_bbox: 0.1768 d3.dn_loss_iou: 0.2204 d4.dn_loss_cls: 0.0600 d4.dn_loss_bbox: 0.1763 d4.dn_loss_iou: 0.2189 d1.loss_lmm_region: 0.1031 loss_lmm_image: 0.6550 +2024/11/08 21:17:23 - mmengine - INFO - Iter(train) [135800/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:06:58 time: 1.0276 data_time: 0.0190 memory: 23150 grad_norm: 19.8793 loss: 7.9972 loss_cls: 0.2348 loss_bbox: 0.1208 loss_iou: 0.2271 d0.loss_cls: 0.2585 d0.loss_bbox: 0.1366 d0.loss_iou: 0.2394 d1.loss_cls: 0.2395 d1.loss_bbox: 0.1313 d1.loss_iou: 0.2349 d2.loss_cls: 0.2435 d2.loss_bbox: 0.1192 d2.loss_iou: 0.2276 d3.loss_cls: 0.2376 d3.loss_bbox: 0.1199 d3.loss_iou: 0.2273 d4.loss_cls: 0.2359 d4.loss_bbox: 0.1198 d4.loss_iou: 0.2263 enc_loss_cls: 0.2822 enc_loss_bbox: 0.1448 enc_loss_iou: 0.2532 dn_loss_cls: 0.0772 dn_loss_bbox: 0.1473 dn_loss_iou: 0.1951 d0.dn_loss_cls: 0.1578 d0.dn_loss_bbox: 0.2997 d0.dn_loss_iou: 0.3306 d1.dn_loss_cls: 0.1059 d1.dn_loss_bbox: 0.1769 d1.dn_loss_iou: 0.2215 d2.dn_loss_cls: 0.0878 d2.dn_loss_bbox: 0.1543 d2.dn_loss_iou: 0.2017 d3.dn_loss_cls: 0.0806 d3.dn_loss_bbox: 0.1492 d3.dn_loss_iou: 0.1965 d4.dn_loss_cls: 0.0777 d4.dn_loss_bbox: 0.1473 d4.dn_loss_iou: 0.1951 d1.loss_lmm_region: 0.1027 loss_lmm_image: 0.6318 +2024/11/08 21:19:07 - mmengine - INFO - Iter(train) [135900/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:05:13 time: 1.0385 data_time: 0.0190 memory: 24014 grad_norm: 21.0796 loss: 8.1530 loss_cls: 0.2534 loss_bbox: 0.1316 loss_iou: 0.2249 d0.loss_cls: 0.2809 d0.loss_bbox: 0.1379 d0.loss_iou: 0.2394 d1.loss_cls: 0.2656 d1.loss_bbox: 0.1301 d1.loss_iou: 0.2291 d2.loss_cls: 0.2576 d2.loss_bbox: 0.1328 d2.loss_iou: 0.2271 d3.loss_cls: 0.2566 d3.loss_bbox: 0.1289 d3.loss_iou: 0.2239 d4.loss_cls: 0.2532 d4.loss_bbox: 0.1295 d4.loss_iou: 0.2245 enc_loss_cls: 0.2902 enc_loss_bbox: 0.1484 enc_loss_iou: 0.2558 dn_loss_cls: 0.0713 dn_loss_bbox: 0.1406 dn_loss_iou: 0.2026 d0.dn_loss_cls: 0.1507 d0.dn_loss_bbox: 0.2650 d0.dn_loss_iou: 0.3374 d1.dn_loss_cls: 0.0988 d1.dn_loss_bbox: 0.1651 d1.dn_loss_iou: 0.2302 d2.dn_loss_cls: 0.0852 d2.dn_loss_bbox: 0.1467 d2.dn_loss_iou: 0.2105 d3.dn_loss_cls: 0.0757 d3.dn_loss_bbox: 0.1407 d3.dn_loss_iou: 0.2034 d4.dn_loss_cls: 0.0708 d4.dn_loss_bbox: 0.1404 d4.dn_loss_iou: 0.2026 d1.loss_lmm_region: 0.1033 loss_lmm_image: 0.6905 +2024/11/08 21:20:50 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/08 21:20:50 - mmengine - INFO - Iter(train) [136000/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:03:29 time: 1.0402 data_time: 0.0188 memory: 23646 grad_norm: 23.5479 loss: 8.6725 loss_cls: 0.2819 loss_bbox: 0.1306 loss_iou: 0.2232 d0.loss_cls: 0.3025 d0.loss_bbox: 0.1497 d0.loss_iou: 0.2425 d1.loss_cls: 0.2915 d1.loss_bbox: 0.1371 d1.loss_iou: 0.2308 d2.loss_cls: 0.2902 d2.loss_bbox: 0.1298 d2.loss_iou: 0.2233 d3.loss_cls: 0.2844 d3.loss_bbox: 0.1333 d3.loss_iou: 0.2233 d4.loss_cls: 0.2793 d4.loss_bbox: 0.1321 d4.loss_iou: 0.2254 enc_loss_cls: 0.3212 enc_loss_bbox: 0.1594 enc_loss_iou: 0.2570 dn_loss_cls: 0.0900 dn_loss_bbox: 0.1602 dn_loss_iou: 0.1928 d0.dn_loss_cls: 0.1822 d0.dn_loss_bbox: 0.3091 d0.dn_loss_iou: 0.3324 d1.dn_loss_cls: 0.1243 d1.dn_loss_bbox: 0.1925 d1.dn_loss_iou: 0.2262 d2.dn_loss_cls: 0.1087 d2.dn_loss_bbox: 0.1708 d2.dn_loss_iou: 0.2020 d3.dn_loss_cls: 0.0947 d3.dn_loss_bbox: 0.1614 d3.dn_loss_iou: 0.1944 d4.dn_loss_cls: 0.0917 d4.dn_loss_bbox: 0.1602 d4.dn_loss_iou: 0.1927 d1.loss_lmm_region: 0.1133 loss_lmm_image: 0.7245 +2024/11/08 21:22:33 - mmengine - INFO - Iter(train) [136100/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:01:44 time: 1.0286 data_time: 0.0187 memory: 22950 grad_norm: 43.2843 loss: 8.8935 loss_cls: 0.2476 loss_bbox: 0.1382 loss_iou: 0.2552 d0.loss_cls: 0.2851 d0.loss_bbox: 0.1506 d0.loss_iou: 0.2731 d1.loss_cls: 0.2637 d1.loss_bbox: 0.1482 d1.loss_iou: 0.2674 d2.loss_cls: 0.2603 d2.loss_bbox: 0.1416 d2.loss_iou: 0.2592 d3.loss_cls: 0.2534 d3.loss_bbox: 0.1397 d3.loss_iou: 0.2566 d4.loss_cls: 0.2510 d4.loss_bbox: 0.1373 d4.loss_iou: 0.2546 enc_loss_cls: 0.3080 enc_loss_bbox: 0.1641 enc_loss_iou: 0.2897 dn_loss_cls: 0.0720 dn_loss_bbox: 0.1790 dn_loss_iou: 0.2320 d0.dn_loss_cls: 0.1553 d0.dn_loss_bbox: 0.3314 d0.dn_loss_iou: 0.3804 d1.dn_loss_cls: 0.0988 d1.dn_loss_bbox: 0.2069 d1.dn_loss_iou: 0.2618 d2.dn_loss_cls: 0.0836 d2.dn_loss_bbox: 0.1844 d2.dn_loss_iou: 0.2387 d3.dn_loss_cls: 0.0767 d3.dn_loss_bbox: 0.1794 d3.dn_loss_iou: 0.2330 d4.dn_loss_cls: 0.0725 d4.dn_loss_bbox: 0.1790 d4.dn_loss_iou: 0.2321 d1.loss_lmm_region: 0.1054 loss_lmm_image: 0.6463 +2024/11/08 21:24:16 - mmengine - INFO - Iter(train) [136200/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:00:00 time: 1.0348 data_time: 0.0188 memory: 23081 grad_norm: 20.1564 loss: 7.8986 loss_cls: 0.2231 loss_bbox: 0.1284 loss_iou: 0.2305 d0.loss_cls: 0.2488 d0.loss_bbox: 0.1474 d0.loss_iou: 0.2512 d1.loss_cls: 0.2337 d1.loss_bbox: 0.1395 d1.loss_iou: 0.2389 d2.loss_cls: 0.2278 d2.loss_bbox: 0.1291 d2.loss_iou: 0.2321 d3.loss_cls: 0.2295 d3.loss_bbox: 0.1263 d3.loss_iou: 0.2312 d4.loss_cls: 0.2238 d4.loss_bbox: 0.1281 d4.loss_iou: 0.2300 enc_loss_cls: 0.2679 enc_loss_bbox: 0.1538 enc_loss_iou: 0.2633 dn_loss_cls: 0.0553 dn_loss_bbox: 0.1549 dn_loss_iou: 0.1931 d0.dn_loss_cls: 0.1369 d0.dn_loss_bbox: 0.2887 d0.dn_loss_iou: 0.3288 d1.dn_loss_cls: 0.0806 d1.dn_loss_bbox: 0.1849 d1.dn_loss_iou: 0.2226 d2.dn_loss_cls: 0.0667 d2.dn_loss_bbox: 0.1602 d2.dn_loss_iou: 0.2005 d3.dn_loss_cls: 0.0595 d3.dn_loss_bbox: 0.1547 d3.dn_loss_iou: 0.1940 d4.dn_loss_cls: 0.0556 d4.dn_loss_bbox: 0.1549 d4.dn_loss_iou: 0.1932 d1.loss_lmm_region: 0.0849 loss_lmm_image: 0.6443 +2024/11/08 21:26:00 - mmengine - INFO - Iter(train) [136300/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:58:16 time: 1.0245 data_time: 0.0187 memory: 23844 grad_norm: 23.2332 loss: 9.3242 loss_cls: 0.2762 loss_bbox: 0.1532 loss_iou: 0.2841 d0.loss_cls: 0.3096 d0.loss_bbox: 0.1634 d0.loss_iou: 0.2982 d1.loss_cls: 0.2898 d1.loss_bbox: 0.1602 d1.loss_iou: 0.2925 d2.loss_cls: 0.2857 d2.loss_bbox: 0.1534 d2.loss_iou: 0.2877 d3.loss_cls: 0.2828 d3.loss_bbox: 0.1520 d3.loss_iou: 0.2823 d4.loss_cls: 0.2790 d4.loss_bbox: 0.1527 d4.loss_iou: 0.2840 enc_loss_cls: 0.3306 enc_loss_bbox: 0.1689 enc_loss_iou: 0.3105 dn_loss_cls: 0.0776 dn_loss_bbox: 0.1692 dn_loss_iou: 0.2339 d0.dn_loss_cls: 0.1566 d0.dn_loss_bbox: 0.3000 d0.dn_loss_iou: 0.3662 d1.dn_loss_cls: 0.1073 d1.dn_loss_bbox: 0.2008 d1.dn_loss_iou: 0.2629 d2.dn_loss_cls: 0.0916 d2.dn_loss_bbox: 0.1776 d2.dn_loss_iou: 0.2414 d3.dn_loss_cls: 0.0816 d3.dn_loss_bbox: 0.1692 d3.dn_loss_iou: 0.2348 d4.dn_loss_cls: 0.0775 d4.dn_loss_bbox: 0.1692 d4.dn_loss_iou: 0.2341 d1.loss_lmm_region: 0.1206 loss_lmm_image: 0.6554 +2024/11/08 21:27:42 - mmengine - INFO - Iter(train) [136400/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:56:31 time: 1.0186 data_time: 0.0188 memory: 23704 grad_norm: 27.7987 loss: 9.7606 loss_cls: 0.3087 loss_bbox: 0.1787 loss_iou: 0.2978 d0.loss_cls: 0.3539 d0.loss_bbox: 0.1871 d0.loss_iou: 0.3122 d1.loss_cls: 0.3301 d1.loss_bbox: 0.1825 d1.loss_iou: 0.3032 d2.loss_cls: 0.3210 d2.loss_bbox: 0.1788 d2.loss_iou: 0.2982 d3.loss_cls: 0.3165 d3.loss_bbox: 0.1784 d3.loss_iou: 0.2970 d4.loss_cls: 0.3141 d4.loss_bbox: 0.1780 d4.loss_iou: 0.2969 enc_loss_cls: 0.3850 enc_loss_bbox: 0.1941 enc_loss_iou: 0.3260 dn_loss_cls: 0.0693 dn_loss_bbox: 0.1715 dn_loss_iou: 0.2165 d0.dn_loss_cls: 0.1501 d0.dn_loss_bbox: 0.3213 d0.dn_loss_iou: 0.3536 d1.dn_loss_cls: 0.0990 d1.dn_loss_bbox: 0.2057 d1.dn_loss_iou: 0.2490 d2.dn_loss_cls: 0.0817 d2.dn_loss_bbox: 0.1816 d2.dn_loss_iou: 0.2260 d3.dn_loss_cls: 0.0736 d3.dn_loss_bbox: 0.1732 d3.dn_loss_iou: 0.2178 d4.dn_loss_cls: 0.0686 d4.dn_loss_bbox: 0.1717 d4.dn_loss_iou: 0.2167 d1.loss_lmm_region: 0.1092 loss_lmm_image: 0.6664 +2024/11/08 21:29:24 - mmengine - INFO - Iter(train) [136500/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:54:46 time: 1.0201 data_time: 0.0188 memory: 23756 grad_norm: 21.6651 loss: 9.7871 loss_cls: 0.2989 loss_bbox: 0.1611 loss_iou: 0.3066 d0.loss_cls: 0.3356 d0.loss_bbox: 0.1712 d0.loss_iou: 0.3164 d1.loss_cls: 0.3187 d1.loss_bbox: 0.1641 d1.loss_iou: 0.3102 d2.loss_cls: 0.3117 d2.loss_bbox: 0.1610 d2.loss_iou: 0.3072 d3.loss_cls: 0.3090 d3.loss_bbox: 0.1606 d3.loss_iou: 0.3042 d4.loss_cls: 0.3024 d4.loss_bbox: 0.1596 d4.loss_iou: 0.3051 enc_loss_cls: 0.3523 enc_loss_bbox: 0.1853 enc_loss_iou: 0.3376 dn_loss_cls: 0.0784 dn_loss_bbox: 0.1663 dn_loss_iou: 0.2320 d0.dn_loss_cls: 0.1620 d0.dn_loss_bbox: 0.3199 d0.dn_loss_iou: 0.3775 d1.dn_loss_cls: 0.1048 d1.dn_loss_bbox: 0.2033 d1.dn_loss_iou: 0.2653 d2.dn_loss_cls: 0.0923 d2.dn_loss_bbox: 0.1758 d2.dn_loss_iou: 0.2407 d3.dn_loss_cls: 0.0838 d3.dn_loss_bbox: 0.1674 d3.dn_loss_iou: 0.2331 d4.dn_loss_cls: 0.0801 d4.dn_loss_bbox: 0.1664 d4.dn_loss_iou: 0.2320 d1.loss_lmm_region: 0.1229 loss_lmm_image: 0.7042 +2024/11/08 21:31:07 - mmengine - INFO - Iter(train) [136600/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:53:02 time: 1.0410 data_time: 0.0190 memory: 23347 grad_norm: 19.6691 loss: 8.5817 loss_cls: 0.2406 loss_bbox: 0.1351 loss_iou: 0.2369 d0.loss_cls: 0.2748 d0.loss_bbox: 0.1428 d0.loss_iou: 0.2522 d1.loss_cls: 0.2642 d1.loss_bbox: 0.1317 d1.loss_iou: 0.2361 d2.loss_cls: 0.2562 d2.loss_bbox: 0.1306 d2.loss_iou: 0.2337 d3.loss_cls: 0.2481 d3.loss_bbox: 0.1335 d3.loss_iou: 0.2350 d4.loss_cls: 0.2421 d4.loss_bbox: 0.1339 d4.loss_iou: 0.2365 enc_loss_cls: 0.3005 enc_loss_bbox: 0.1515 enc_loss_iou: 0.2631 dn_loss_cls: 0.0833 dn_loss_bbox: 0.1684 dn_loss_iou: 0.2143 d0.dn_loss_cls: 0.1648 d0.dn_loss_bbox: 0.3428 d0.dn_loss_iou: 0.3647 d1.dn_loss_cls: 0.1092 d1.dn_loss_bbox: 0.2093 d1.dn_loss_iou: 0.2471 d2.dn_loss_cls: 0.0943 d2.dn_loss_bbox: 0.1799 d2.dn_loss_iou: 0.2229 d3.dn_loss_cls: 0.0856 d3.dn_loss_bbox: 0.1713 d3.dn_loss_iou: 0.2156 d4.dn_loss_cls: 0.0839 d4.dn_loss_bbox: 0.1684 d4.dn_loss_iou: 0.2143 d1.loss_lmm_region: 0.1066 loss_lmm_image: 0.6556 +2024/11/08 21:32:51 - mmengine - INFO - Iter(train) [136700/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:51:18 time: 1.0374 data_time: 0.0189 memory: 24013 grad_norm: 17.5907 loss: 8.1892 loss_cls: 0.2602 loss_bbox: 0.1237 loss_iou: 0.2227 d0.loss_cls: 0.2968 d0.loss_bbox: 0.1380 d0.loss_iou: 0.2397 d1.loss_cls: 0.2816 d1.loss_bbox: 0.1248 d1.loss_iou: 0.2215 d2.loss_cls: 0.2719 d2.loss_bbox: 0.1235 d2.loss_iou: 0.2210 d3.loss_cls: 0.2677 d3.loss_bbox: 0.1211 d3.loss_iou: 0.2215 d4.loss_cls: 0.2635 d4.loss_bbox: 0.1213 d4.loss_iou: 0.2207 enc_loss_cls: 0.3121 enc_loss_bbox: 0.1448 enc_loss_iou: 0.2525 dn_loss_cls: 0.0656 dn_loss_bbox: 0.1484 dn_loss_iou: 0.1955 d0.dn_loss_cls: 0.1534 d0.dn_loss_bbox: 0.2961 d0.dn_loss_iou: 0.3372 d1.dn_loss_cls: 0.0986 d1.dn_loss_bbox: 0.1797 d1.dn_loss_iou: 0.2257 d2.dn_loss_cls: 0.0811 d2.dn_loss_bbox: 0.1553 d2.dn_loss_iou: 0.2030 d3.dn_loss_cls: 0.0682 d3.dn_loss_bbox: 0.1488 d3.dn_loss_iou: 0.1967 d4.dn_loss_cls: 0.0658 d4.dn_loss_bbox: 0.1483 d4.dn_loss_iou: 0.1955 d1.loss_lmm_region: 0.0981 loss_lmm_image: 0.6777 +2024/11/08 21:34:34 - mmengine - INFO - Iter(train) [136800/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:49:33 time: 1.0231 data_time: 0.0190 memory: 22721 grad_norm: 20.3028 loss: 8.9043 loss_cls: 0.2761 loss_bbox: 0.1283 loss_iou: 0.2510 d0.loss_cls: 0.3067 d0.loss_bbox: 0.1400 d0.loss_iou: 0.2683 d1.loss_cls: 0.2967 d1.loss_bbox: 0.1274 d1.loss_iou: 0.2530 d2.loss_cls: 0.2858 d2.loss_bbox: 0.1290 d2.loss_iou: 0.2539 d3.loss_cls: 0.2848 d3.loss_bbox: 0.1226 d3.loss_iou: 0.2504 d4.loss_cls: 0.2766 d4.loss_bbox: 0.1293 d4.loss_iou: 0.2532 enc_loss_cls: 0.3265 enc_loss_bbox: 0.1511 enc_loss_iou: 0.2881 dn_loss_cls: 0.0932 dn_loss_bbox: 0.1580 dn_loss_iou: 0.2130 d0.dn_loss_cls: 0.1795 d0.dn_loss_bbox: 0.3017 d0.dn_loss_iou: 0.3605 d1.dn_loss_cls: 0.1240 d1.dn_loss_bbox: 0.1947 d1.dn_loss_iou: 0.2472 d2.dn_loss_cls: 0.1077 d2.dn_loss_bbox: 0.1693 d2.dn_loss_iou: 0.2224 d3.dn_loss_cls: 0.0978 d3.dn_loss_bbox: 0.1600 d3.dn_loss_iou: 0.2147 d4.dn_loss_cls: 0.0937 d4.dn_loss_bbox: 0.1580 d4.dn_loss_iou: 0.2129 d1.loss_lmm_region: 0.1126 loss_lmm_image: 0.6847 +2024/11/08 21:36:16 - mmengine - INFO - Iter(train) [136900/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:47:48 time: 1.0314 data_time: 0.0188 memory: 24020 grad_norm: 19.7730 loss: 8.7762 loss_cls: 0.2784 loss_bbox: 0.1410 loss_iou: 0.2590 d0.loss_cls: 0.3100 d0.loss_bbox: 0.1503 d0.loss_iou: 0.2765 d1.loss_cls: 0.2937 d1.loss_bbox: 0.1419 d1.loss_iou: 0.2628 d2.loss_cls: 0.2881 d2.loss_bbox: 0.1410 d2.loss_iou: 0.2611 d3.loss_cls: 0.2842 d3.loss_bbox: 0.1404 d3.loss_iou: 0.2597 d4.loss_cls: 0.2800 d4.loss_bbox: 0.1421 d4.loss_iou: 0.2581 enc_loss_cls: 0.3209 enc_loss_bbox: 0.1642 enc_loss_iou: 0.2907 dn_loss_cls: 0.0757 dn_loss_bbox: 0.1604 dn_loss_iou: 0.2093 d0.dn_loss_cls: 0.1471 d0.dn_loss_bbox: 0.2842 d0.dn_loss_iou: 0.3443 d1.dn_loss_cls: 0.1013 d1.dn_loss_bbox: 0.1836 d1.dn_loss_iou: 0.2350 d2.dn_loss_cls: 0.0865 d2.dn_loss_bbox: 0.1639 d2.dn_loss_iou: 0.2144 d3.dn_loss_cls: 0.0789 d3.dn_loss_bbox: 0.1603 d3.dn_loss_iou: 0.2099 d4.dn_loss_cls: 0.0758 d4.dn_loss_bbox: 0.1604 d4.dn_loss_iou: 0.2092 d1.loss_lmm_region: 0.0920 loss_lmm_image: 0.6401 +2024/11/08 21:38:00 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/08 21:38:00 - mmengine - INFO - Iter(train) [137000/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:46:04 time: 1.0303 data_time: 0.0189 memory: 23723 grad_norm: 20.1805 loss: 10.3987 loss_cls: 0.3311 loss_bbox: 0.1716 loss_iou: 0.3200 d0.loss_cls: 0.3797 d0.loss_bbox: 0.1891 d0.loss_iou: 0.3355 d1.loss_cls: 0.3579 d1.loss_bbox: 0.1771 d1.loss_iou: 0.3251 d2.loss_cls: 0.3438 d2.loss_bbox: 0.1736 d2.loss_iou: 0.3218 d3.loss_cls: 0.3383 d3.loss_bbox: 0.1712 d3.loss_iou: 0.3195 d4.loss_cls: 0.3340 d4.loss_bbox: 0.1707 d4.loss_iou: 0.3189 enc_loss_cls: 0.3984 enc_loss_bbox: 0.2035 enc_loss_iou: 0.3553 dn_loss_cls: 0.0829 dn_loss_bbox: 0.1769 dn_loss_iou: 0.2470 d0.dn_loss_cls: 0.1880 d0.dn_loss_bbox: 0.3298 d0.dn_loss_iou: 0.4036 d1.dn_loss_cls: 0.1237 d1.dn_loss_bbox: 0.2113 d1.dn_loss_iou: 0.2821 d2.dn_loss_cls: 0.1021 d2.dn_loss_bbox: 0.1868 d2.dn_loss_iou: 0.2569 d3.dn_loss_cls: 0.0900 d3.dn_loss_bbox: 0.1778 d3.dn_loss_iou: 0.2485 d4.dn_loss_cls: 0.0838 d4.dn_loss_bbox: 0.1768 d4.dn_loss_iou: 0.2470 d1.loss_lmm_region: 0.1117 loss_lmm_image: 0.6361 +2024/11/08 21:39:43 - mmengine - INFO - Iter(train) [137100/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:44:20 time: 1.0330 data_time: 0.0189 memory: 23947 grad_norm: 25.2964 loss: 8.9176 loss_cls: 0.2790 loss_bbox: 0.1504 loss_iou: 0.2779 d0.loss_cls: 0.3199 d0.loss_bbox: 0.1649 d0.loss_iou: 0.3007 d1.loss_cls: 0.3023 d1.loss_bbox: 0.1531 d1.loss_iou: 0.2857 d2.loss_cls: 0.2911 d2.loss_bbox: 0.1529 d2.loss_iou: 0.2810 d3.loss_cls: 0.2889 d3.loss_bbox: 0.1506 d3.loss_iou: 0.2753 d4.loss_cls: 0.2809 d4.loss_bbox: 0.1497 d4.loss_iou: 0.2765 enc_loss_cls: 0.3464 enc_loss_bbox: 0.1736 enc_loss_iou: 0.3173 dn_loss_cls: 0.0559 dn_loss_bbox: 0.1468 dn_loss_iou: 0.2080 d0.dn_loss_cls: 0.1399 d0.dn_loss_bbox: 0.2912 d0.dn_loss_iou: 0.3515 d1.dn_loss_cls: 0.0882 d1.dn_loss_bbox: 0.1785 d1.dn_loss_iou: 0.2410 d2.dn_loss_cls: 0.0691 d2.dn_loss_bbox: 0.1573 d2.dn_loss_iou: 0.2175 d3.dn_loss_cls: 0.0607 d3.dn_loss_bbox: 0.1487 d3.dn_loss_iou: 0.2097 d4.dn_loss_cls: 0.0568 d4.dn_loss_bbox: 0.1467 d4.dn_loss_iou: 0.2081 d1.loss_lmm_region: 0.0982 loss_lmm_image: 0.6257 +2024/11/08 21:41:26 - mmengine - INFO - Iter(train) [137200/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:42:35 time: 1.0239 data_time: 0.0189 memory: 23483 grad_norm: 20.9332 loss: 9.3942 loss_cls: 0.3144 loss_bbox: 0.1401 loss_iou: 0.2972 d0.loss_cls: 0.3515 d0.loss_bbox: 0.1474 d0.loss_iou: 0.3102 d1.loss_cls: 0.3309 d1.loss_bbox: 0.1418 d1.loss_iou: 0.3004 d2.loss_cls: 0.3209 d2.loss_bbox: 0.1404 d2.loss_iou: 0.2982 d3.loss_cls: 0.3193 d3.loss_bbox: 0.1394 d3.loss_iou: 0.2969 d4.loss_cls: 0.3129 d4.loss_bbox: 0.1404 d4.loss_iou: 0.2974 enc_loss_cls: 0.3644 enc_loss_bbox: 0.1598 enc_loss_iou: 0.3283 dn_loss_cls: 0.0646 dn_loss_bbox: 0.1597 dn_loss_iou: 0.2167 d0.dn_loss_cls: 0.1491 d0.dn_loss_bbox: 0.2957 d0.dn_loss_iou: 0.3559 d1.dn_loss_cls: 0.0951 d1.dn_loss_bbox: 0.1884 d1.dn_loss_iou: 0.2462 d2.dn_loss_cls: 0.0772 d2.dn_loss_bbox: 0.1670 d2.dn_loss_iou: 0.2243 d3.dn_loss_cls: 0.0680 d3.dn_loss_bbox: 0.1613 d3.dn_loss_iou: 0.2182 d4.dn_loss_cls: 0.0650 d4.dn_loss_bbox: 0.1596 d4.dn_loss_iou: 0.2168 d1.loss_lmm_region: 0.0958 loss_lmm_image: 0.7174 +2024/11/08 21:43:10 - mmengine - INFO - Iter(train) [137300/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:40:51 time: 1.0414 data_time: 0.0188 memory: 23969 grad_norm: 19.8866 loss: 10.0618 loss_cls: 0.3346 loss_bbox: 0.1669 loss_iou: 0.3105 d0.loss_cls: 0.3693 d0.loss_bbox: 0.1804 d0.loss_iou: 0.3308 d1.loss_cls: 0.3549 d1.loss_bbox: 0.1681 d1.loss_iou: 0.3160 d2.loss_cls: 0.3482 d2.loss_bbox: 0.1673 d2.loss_iou: 0.3117 d3.loss_cls: 0.3461 d3.loss_bbox: 0.1645 d3.loss_iou: 0.3090 d4.loss_cls: 0.3385 d4.loss_bbox: 0.1653 d4.loss_iou: 0.3092 enc_loss_cls: 0.3852 enc_loss_bbox: 0.1970 enc_loss_iou: 0.3498 dn_loss_cls: 0.0897 dn_loss_bbox: 0.1596 dn_loss_iou: 0.2208 d0.dn_loss_cls: 0.1842 d0.dn_loss_bbox: 0.3099 d0.dn_loss_iou: 0.3661 d1.dn_loss_cls: 0.1276 d1.dn_loss_bbox: 0.1919 d1.dn_loss_iou: 0.2526 d2.dn_loss_cls: 0.1068 d2.dn_loss_bbox: 0.1711 d2.dn_loss_iou: 0.2308 d3.dn_loss_cls: 0.0950 d3.dn_loss_bbox: 0.1610 d3.dn_loss_iou: 0.2225 d4.dn_loss_cls: 0.0917 d4.dn_loss_bbox: 0.1596 d4.dn_loss_iou: 0.2208 d1.loss_lmm_region: 0.1150 loss_lmm_image: 0.6620 +2024/11/08 21:44:52 - mmengine - INFO - Iter(train) [137400/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:39:06 time: 1.0280 data_time: 0.0190 memory: 23777 grad_norm: 21.9785 loss: 8.8598 loss_cls: 0.3073 loss_bbox: 0.1306 loss_iou: 0.2602 d0.loss_cls: 0.3381 d0.loss_bbox: 0.1479 d0.loss_iou: 0.2826 d1.loss_cls: 0.3259 d1.loss_bbox: 0.1323 d1.loss_iou: 0.2653 d2.loss_cls: 0.3167 d2.loss_bbox: 0.1327 d2.loss_iou: 0.2622 d3.loss_cls: 0.3115 d3.loss_bbox: 0.1310 d3.loss_iou: 0.2613 d4.loss_cls: 0.3079 d4.loss_bbox: 0.1310 d4.loss_iou: 0.2604 enc_loss_cls: 0.3627 enc_loss_bbox: 0.1575 enc_loss_iou: 0.3014 dn_loss_cls: 0.0668 dn_loss_bbox: 0.1339 dn_loss_iou: 0.2125 d0.dn_loss_cls: 0.1580 d0.dn_loss_bbox: 0.2703 d0.dn_loss_iou: 0.3576 d1.dn_loss_cls: 0.0960 d1.dn_loss_bbox: 0.1637 d1.dn_loss_iou: 0.2448 d2.dn_loss_cls: 0.0793 d2.dn_loss_bbox: 0.1411 d2.dn_loss_iou: 0.2213 d3.dn_loss_cls: 0.0695 d3.dn_loss_bbox: 0.1352 d3.dn_loss_iou: 0.2141 d4.dn_loss_cls: 0.0673 d4.dn_loss_bbox: 0.1339 d4.dn_loss_iou: 0.2126 d1.loss_lmm_region: 0.0938 loss_lmm_image: 0.6618 +2024/11/08 21:46:35 - mmengine - INFO - Iter(train) [137500/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:37:22 time: 1.0156 data_time: 0.0188 memory: 23602 grad_norm: 21.9800 loss: 10.2289 loss_cls: 0.3269 loss_bbox: 0.1801 loss_iou: 0.2898 d0.loss_cls: 0.3684 d0.loss_bbox: 0.1991 d0.loss_iou: 0.3118 d1.loss_cls: 0.3504 d1.loss_bbox: 0.1870 d1.loss_iou: 0.2951 d2.loss_cls: 0.3335 d2.loss_bbox: 0.1855 d2.loss_iou: 0.2948 d3.loss_cls: 0.3299 d3.loss_bbox: 0.1834 d3.loss_iou: 0.2913 d4.loss_cls: 0.3245 d4.loss_bbox: 0.1811 d4.loss_iou: 0.2905 enc_loss_cls: 0.3833 enc_loss_bbox: 0.2052 enc_loss_iou: 0.3284 dn_loss_cls: 0.0881 dn_loss_bbox: 0.1948 dn_loss_iou: 0.2300 d0.dn_loss_cls: 0.1785 d0.dn_loss_bbox: 0.3555 d0.dn_loss_iou: 0.3852 d1.dn_loss_cls: 0.1234 d1.dn_loss_bbox: 0.2309 d1.dn_loss_iou: 0.2671 d2.dn_loss_cls: 0.1050 d2.dn_loss_bbox: 0.2030 d2.dn_loss_iou: 0.2397 d3.dn_loss_cls: 0.0936 d3.dn_loss_bbox: 0.1956 d3.dn_loss_iou: 0.2316 d4.dn_loss_cls: 0.0886 d4.dn_loss_bbox: 0.1949 d4.dn_loss_iou: 0.2300 d1.loss_lmm_region: 0.0986 loss_lmm_image: 0.6552 +2024/11/08 21:48:17 - mmengine - INFO - Iter(train) [137600/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:35:37 time: 1.0234 data_time: 0.0189 memory: 23433 grad_norm: 23.1853 loss: 9.7252 loss_cls: 0.3505 loss_bbox: 0.1351 loss_iou: 0.2591 d0.loss_cls: 0.3930 d0.loss_bbox: 0.1436 d0.loss_iou: 0.2716 d1.loss_cls: 0.3669 d1.loss_bbox: 0.1421 d1.loss_iou: 0.2684 d2.loss_cls: 0.3543 d2.loss_bbox: 0.1374 d2.loss_iou: 0.2602 d3.loss_cls: 0.3535 d3.loss_bbox: 0.1379 d3.loss_iou: 0.2579 d4.loss_cls: 0.3493 d4.loss_bbox: 0.1359 d4.loss_iou: 0.2594 enc_loss_cls: 0.4069 enc_loss_bbox: 0.1609 enc_loss_iou: 0.2842 dn_loss_cls: 0.1066 dn_loss_bbox: 0.1546 dn_loss_iou: 0.2267 d0.dn_loss_cls: 0.1965 d0.dn_loss_bbox: 0.3080 d0.dn_loss_iou: 0.3776 d1.dn_loss_cls: 0.1469 d1.dn_loss_bbox: 0.1886 d1.dn_loss_iou: 0.2589 d2.dn_loss_cls: 0.1247 d2.dn_loss_bbox: 0.1630 d2.dn_loss_iou: 0.2369 d3.dn_loss_cls: 0.1161 d3.dn_loss_bbox: 0.1553 d3.dn_loss_iou: 0.2280 d4.dn_loss_cls: 0.1062 d4.dn_loss_bbox: 0.1545 d4.dn_loss_iou: 0.2267 d1.loss_lmm_region: 0.1089 loss_lmm_image: 0.7124 +2024/11/08 21:50:00 - mmengine - INFO - Iter(train) [137700/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:33:53 time: 1.0229 data_time: 0.0187 memory: 23984 grad_norm: 22.3112 loss: 9.9076 loss_cls: 0.2995 loss_bbox: 0.1780 loss_iou: 0.2770 d0.loss_cls: 0.3322 d0.loss_bbox: 0.1936 d0.loss_iou: 0.2929 d1.loss_cls: 0.3201 d1.loss_bbox: 0.1750 d1.loss_iou: 0.2818 d2.loss_cls: 0.3126 d2.loss_bbox: 0.1761 d2.loss_iou: 0.2776 d3.loss_cls: 0.3100 d3.loss_bbox: 0.1750 d3.loss_iou: 0.2768 d4.loss_cls: 0.2982 d4.loss_bbox: 0.1812 d4.loss_iou: 0.2790 enc_loss_cls: 0.3573 enc_loss_bbox: 0.1932 enc_loss_iou: 0.3005 dn_loss_cls: 0.0868 dn_loss_bbox: 0.2033 dn_loss_iou: 0.2332 d0.dn_loss_cls: 0.1723 d0.dn_loss_bbox: 0.3638 d0.dn_loss_iou: 0.3731 d1.dn_loss_cls: 0.1210 d1.dn_loss_bbox: 0.2400 d1.dn_loss_iou: 0.2626 d2.dn_loss_cls: 0.1037 d2.dn_loss_bbox: 0.2121 d2.dn_loss_iou: 0.2398 d3.dn_loss_cls: 0.0924 d3.dn_loss_bbox: 0.2039 d3.dn_loss_iou: 0.2343 d4.dn_loss_cls: 0.0878 d4.dn_loss_bbox: 0.2033 d4.dn_loss_iou: 0.2333 d1.loss_lmm_region: 0.1072 loss_lmm_image: 0.6462 +2024/11/08 21:51:43 - mmengine - INFO - Iter(train) [137800/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:32:08 time: 1.0350 data_time: 0.0188 memory: 23893 grad_norm: 22.3154 loss: 9.7933 loss_cls: 0.3160 loss_bbox: 0.1536 loss_iou: 0.3051 d0.loss_cls: 0.3528 d0.loss_bbox: 0.1605 d0.loss_iou: 0.3239 d1.loss_cls: 0.3346 d1.loss_bbox: 0.1509 d1.loss_iou: 0.3112 d2.loss_cls: 0.3157 d2.loss_bbox: 0.1556 d2.loss_iou: 0.3123 d3.loss_cls: 0.3159 d3.loss_bbox: 0.1535 d3.loss_iou: 0.3082 d4.loss_cls: 0.3136 d4.loss_bbox: 0.1543 d4.loss_iou: 0.3066 enc_loss_cls: 0.3652 enc_loss_bbox: 0.1686 enc_loss_iou: 0.3378 dn_loss_cls: 0.0862 dn_loss_bbox: 0.1681 dn_loss_iou: 0.2343 d0.dn_loss_cls: 0.1653 d0.dn_loss_bbox: 0.3168 d0.dn_loss_iou: 0.3781 d1.dn_loss_cls: 0.1129 d1.dn_loss_bbox: 0.2033 d1.dn_loss_iou: 0.2679 d2.dn_loss_cls: 0.0975 d2.dn_loss_bbox: 0.1763 d2.dn_loss_iou: 0.2438 d3.dn_loss_cls: 0.0913 d3.dn_loss_bbox: 0.1696 d3.dn_loss_iou: 0.2366 d4.dn_loss_cls: 0.0871 d4.dn_loss_bbox: 0.1680 d4.dn_loss_iou: 0.2343 d1.loss_lmm_region: 0.1011 loss_lmm_image: 0.6392 +2024/11/08 21:53:26 - mmengine - INFO - Iter(train) [137900/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:30:24 time: 1.0183 data_time: 0.0188 memory: 23669 grad_norm: 22.2268 loss: 9.7940 loss_cls: 0.3215 loss_bbox: 0.1464 loss_iou: 0.2873 d0.loss_cls: 0.3653 d0.loss_bbox: 0.1568 d0.loss_iou: 0.3044 d1.loss_cls: 0.3454 d1.loss_bbox: 0.1473 d1.loss_iou: 0.2909 d2.loss_cls: 0.3298 d2.loss_bbox: 0.1473 d2.loss_iou: 0.2905 d3.loss_cls: 0.3245 d3.loss_bbox: 0.1470 d3.loss_iou: 0.2868 d4.loss_cls: 0.3216 d4.loss_bbox: 0.1463 d4.loss_iou: 0.2872 enc_loss_cls: 0.3760 enc_loss_bbox: 0.1710 enc_loss_iou: 0.3276 dn_loss_cls: 0.1049 dn_loss_bbox: 0.1735 dn_loss_iou: 0.2252 d0.dn_loss_cls: 0.1836 d0.dn_loss_bbox: 0.3052 d0.dn_loss_iou: 0.3581 d1.dn_loss_cls: 0.1352 d1.dn_loss_bbox: 0.2053 d1.dn_loss_iou: 0.2551 d2.dn_loss_cls: 0.1204 d2.dn_loss_bbox: 0.1811 d2.dn_loss_iou: 0.2331 d3.dn_loss_cls: 0.1096 d3.dn_loss_bbox: 0.1749 d3.dn_loss_iou: 0.2268 d4.dn_loss_cls: 0.1062 d4.dn_loss_bbox: 0.1734 d4.dn_loss_iou: 0.2252 d1.loss_lmm_region: 0.1132 loss_lmm_image: 0.6629 +2024/11/08 21:55:09 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/08 21:55:09 - mmengine - INFO - Iter(train) [138000/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:28:39 time: 1.0235 data_time: 0.0188 memory: 23412 grad_norm: 21.6219 loss: 10.6400 loss_cls: 0.3301 loss_bbox: 0.1875 loss_iou: 0.3449 d0.loss_cls: 0.3697 d0.loss_bbox: 0.1976 d0.loss_iou: 0.3592 d1.loss_cls: 0.3505 d1.loss_bbox: 0.1871 d1.loss_iou: 0.3489 d2.loss_cls: 0.3368 d2.loss_bbox: 0.1899 d2.loss_iou: 0.3481 d3.loss_cls: 0.3357 d3.loss_bbox: 0.1872 d3.loss_iou: 0.3451 d4.loss_cls: 0.3313 d4.loss_bbox: 0.1868 d4.loss_iou: 0.3446 enc_loss_cls: 0.3852 enc_loss_bbox: 0.2116 enc_loss_iou: 0.3805 dn_loss_cls: 0.0716 dn_loss_bbox: 0.1900 dn_loss_iou: 0.2585 d0.dn_loss_cls: 0.1595 d0.dn_loss_bbox: 0.3374 d0.dn_loss_iou: 0.4057 d1.dn_loss_cls: 0.1045 d1.dn_loss_bbox: 0.2247 d1.dn_loss_iou: 0.2899 d2.dn_loss_cls: 0.0893 d2.dn_loss_bbox: 0.1981 d2.dn_loss_iou: 0.2667 d3.dn_loss_cls: 0.0760 d3.dn_loss_bbox: 0.1906 d3.dn_loss_iou: 0.2594 d4.dn_loss_cls: 0.0727 d4.dn_loss_bbox: 0.1900 d4.dn_loss_iou: 0.2585 d1.loss_lmm_region: 0.1108 loss_lmm_image: 0.6279 +2024/11/08 21:56:51 - mmengine - INFO - Iter(train) [138100/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:26:55 time: 1.0369 data_time: 0.0190 memory: 22453 grad_norm: 20.4666 loss: 8.9111 loss_cls: 0.3025 loss_bbox: 0.1225 loss_iou: 0.2434 d0.loss_cls: 0.3303 d0.loss_bbox: 0.1393 d0.loss_iou: 0.2608 d1.loss_cls: 0.3173 d1.loss_bbox: 0.1279 d1.loss_iou: 0.2492 d2.loss_cls: 0.3109 d2.loss_bbox: 0.1228 d2.loss_iou: 0.2430 d3.loss_cls: 0.3003 d3.loss_bbox: 0.1271 d3.loss_iou: 0.2443 d4.loss_cls: 0.3037 d4.loss_bbox: 0.1218 d4.loss_iou: 0.2423 enc_loss_cls: 0.3463 enc_loss_bbox: 0.1505 enc_loss_iou: 0.2804 dn_loss_cls: 0.0844 dn_loss_bbox: 0.1622 dn_loss_iou: 0.2137 d0.dn_loss_cls: 0.1682 d0.dn_loss_bbox: 0.2876 d0.dn_loss_iou: 0.3491 d1.dn_loss_cls: 0.1135 d1.dn_loss_bbox: 0.1847 d1.dn_loss_iou: 0.2414 d2.dn_loss_cls: 0.0993 d2.dn_loss_bbox: 0.1664 d2.dn_loss_iou: 0.2206 d3.dn_loss_cls: 0.0898 d3.dn_loss_bbox: 0.1629 d3.dn_loss_iou: 0.2149 d4.dn_loss_cls: 0.0861 d4.dn_loss_bbox: 0.1621 d4.dn_loss_iou: 0.2136 d1.loss_lmm_region: 0.1018 loss_lmm_image: 0.7021 +2024/11/08 21:58:34 - mmengine - INFO - Iter(train) [138200/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:25:10 time: 1.0182 data_time: 0.0187 memory: 23437 grad_norm: 20.7618 loss: 8.8963 loss_cls: 0.2890 loss_bbox: 0.1328 loss_iou: 0.2619 d0.loss_cls: 0.3244 d0.loss_bbox: 0.1385 d0.loss_iou: 0.2750 d1.loss_cls: 0.3127 d1.loss_bbox: 0.1317 d1.loss_iou: 0.2615 d2.loss_cls: 0.3001 d2.loss_bbox: 0.1315 d2.loss_iou: 0.2590 d3.loss_cls: 0.2936 d3.loss_bbox: 0.1318 d3.loss_iou: 0.2605 d4.loss_cls: 0.2895 d4.loss_bbox: 0.1335 d4.loss_iou: 0.2631 enc_loss_cls: 0.3359 enc_loss_bbox: 0.1548 enc_loss_iou: 0.2945 dn_loss_cls: 0.0685 dn_loss_bbox: 0.1548 dn_loss_iou: 0.2190 d0.dn_loss_cls: 0.1574 d0.dn_loss_bbox: 0.3014 d0.dn_loss_iou: 0.3678 d1.dn_loss_cls: 0.1016 d1.dn_loss_bbox: 0.1850 d1.dn_loss_iou: 0.2510 d2.dn_loss_cls: 0.0853 d2.dn_loss_bbox: 0.1636 d2.dn_loss_iou: 0.2286 d3.dn_loss_cls: 0.0748 d3.dn_loss_bbox: 0.1560 d3.dn_loss_iou: 0.2205 d4.dn_loss_cls: 0.0698 d4.dn_loss_bbox: 0.1549 d4.dn_loss_iou: 0.2190 d1.loss_lmm_region: 0.0989 loss_lmm_image: 0.6431 +2024/11/08 22:00:17 - mmengine - INFO - Iter(train) [138300/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:23:26 time: 1.0266 data_time: 0.0190 memory: 23840 grad_norm: 18.6218 loss: 9.2969 loss_cls: 0.2888 loss_bbox: 0.1473 loss_iou: 0.2838 d0.loss_cls: 0.3190 d0.loss_bbox: 0.1627 d0.loss_iou: 0.3045 d1.loss_cls: 0.3057 d1.loss_bbox: 0.1519 d1.loss_iou: 0.2908 d2.loss_cls: 0.2970 d2.loss_bbox: 0.1487 d2.loss_iou: 0.2877 d3.loss_cls: 0.2949 d3.loss_bbox: 0.1470 d3.loss_iou: 0.2844 d4.loss_cls: 0.2884 d4.loss_bbox: 0.1488 d4.loss_iou: 0.2854 enc_loss_cls: 0.3391 enc_loss_bbox: 0.1779 enc_loss_iou: 0.3252 dn_loss_cls: 0.0733 dn_loss_bbox: 0.1605 dn_loss_iou: 0.2258 d0.dn_loss_cls: 0.1661 d0.dn_loss_bbox: 0.3029 d0.dn_loss_iou: 0.3779 d1.dn_loss_cls: 0.1052 d1.dn_loss_bbox: 0.1889 d1.dn_loss_iou: 0.2583 d2.dn_loss_cls: 0.0872 d2.dn_loss_bbox: 0.1664 d2.dn_loss_iou: 0.2342 d3.dn_loss_cls: 0.0777 d3.dn_loss_bbox: 0.1610 d3.dn_loss_iou: 0.2268 d4.dn_loss_cls: 0.0733 d4.dn_loss_bbox: 0.1603 d4.dn_loss_iou: 0.2257 d1.loss_lmm_region: 0.1206 loss_lmm_image: 0.6258 +2024/11/08 22:01:59 - mmengine - INFO - Iter(train) [138400/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:21:41 time: 1.0168 data_time: 0.0188 memory: 23979 grad_norm: 22.8809 loss: 8.4711 loss_cls: 0.2579 loss_bbox: 0.1340 loss_iou: 0.2453 d0.loss_cls: 0.2776 d0.loss_bbox: 0.1448 d0.loss_iou: 0.2557 d1.loss_cls: 0.2692 d1.loss_bbox: 0.1370 d1.loss_iou: 0.2503 d2.loss_cls: 0.2600 d2.loss_bbox: 0.1373 d2.loss_iou: 0.2480 d3.loss_cls: 0.2576 d3.loss_bbox: 0.1353 d3.loss_iou: 0.2478 d4.loss_cls: 0.2547 d4.loss_bbox: 0.1347 d4.loss_iou: 0.2479 enc_loss_cls: 0.2967 enc_loss_bbox: 0.1521 enc_loss_iou: 0.2703 dn_loss_cls: 0.0784 dn_loss_bbox: 0.1539 dn_loss_iou: 0.2137 d0.dn_loss_cls: 0.1663 d0.dn_loss_bbox: 0.2854 d0.dn_loss_iou: 0.3415 d1.dn_loss_cls: 0.1142 d1.dn_loss_bbox: 0.1774 d1.dn_loss_iou: 0.2387 d2.dn_loss_cls: 0.0918 d2.dn_loss_bbox: 0.1603 d2.dn_loss_iou: 0.2195 d3.dn_loss_cls: 0.0833 d3.dn_loss_bbox: 0.1543 d3.dn_loss_iou: 0.2142 d4.dn_loss_cls: 0.0791 d4.dn_loss_bbox: 0.1537 d4.dn_loss_iou: 0.2136 d1.loss_lmm_region: 0.1214 loss_lmm_image: 0.5960 +2024/11/08 22:03:42 - mmengine - INFO - Iter(train) [138500/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:19:57 time: 1.0261 data_time: 0.0188 memory: 22840 grad_norm: nan loss: 7.9913 loss_cls: 0.2437 loss_bbox: 0.1185 loss_iou: 0.2291 d0.loss_cls: 0.2690 d0.loss_bbox: 0.1336 d0.loss_iou: 0.2457 d1.loss_cls: 0.2599 d1.loss_bbox: 0.1259 d1.loss_iou: 0.2372 d2.loss_cls: 0.2531 d2.loss_bbox: 0.1222 d2.loss_iou: 0.2329 d3.loss_cls: 0.2480 d3.loss_bbox: 0.1185 d3.loss_iou: 0.2297 d4.loss_cls: 0.2455 d4.loss_bbox: 0.1185 d4.loss_iou: 0.2292 enc_loss_cls: 0.2864 enc_loss_bbox: 0.1462 enc_loss_iou: 0.2645 dn_loss_cls: 0.0638 dn_loss_bbox: 0.1385 dn_loss_iou: 0.1966 d0.dn_loss_cls: 0.1474 d0.dn_loss_bbox: 0.2802 d0.dn_loss_iou: 0.3346 d1.dn_loss_cls: 0.0907 d1.dn_loss_bbox: 0.1648 d1.dn_loss_iou: 0.2243 d2.dn_loss_cls: 0.0756 d2.dn_loss_bbox: 0.1441 d2.dn_loss_iou: 0.2032 d3.dn_loss_cls: 0.0685 d3.dn_loss_bbox: 0.1393 d3.dn_loss_iou: 0.1976 d4.dn_loss_cls: 0.0649 d4.dn_loss_bbox: 0.1386 d4.dn_loss_iou: 0.1968 d1.loss_lmm_region: 0.1029 loss_lmm_image: 0.6617 +2024/11/08 22:05:25 - mmengine - INFO - Iter(train) [138600/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:18:13 time: 1.0308 data_time: 0.0188 memory: 23956 grad_norm: 21.5632 loss: 8.9602 loss_cls: 0.2667 loss_bbox: 0.1493 loss_iou: 0.2704 d0.loss_cls: 0.2933 d0.loss_bbox: 0.1620 d0.loss_iou: 0.2883 d1.loss_cls: 0.2854 d1.loss_bbox: 0.1544 d1.loss_iou: 0.2772 d2.loss_cls: 0.2785 d2.loss_bbox: 0.1513 d2.loss_iou: 0.2741 d3.loss_cls: 0.2708 d3.loss_bbox: 0.1510 d3.loss_iou: 0.2717 d4.loss_cls: 0.2666 d4.loss_bbox: 0.1503 d4.loss_iou: 0.2705 enc_loss_cls: 0.3191 enc_loss_bbox: 0.1713 enc_loss_iou: 0.3034 dn_loss_cls: 0.0603 dn_loss_bbox: 0.1685 dn_loss_iou: 0.2231 d0.dn_loss_cls: 0.1440 d0.dn_loss_bbox: 0.3034 d0.dn_loss_iou: 0.3645 d1.dn_loss_cls: 0.0914 d1.dn_loss_bbox: 0.1933 d1.dn_loss_iou: 0.2495 d2.dn_loss_cls: 0.0768 d2.dn_loss_bbox: 0.1732 d2.dn_loss_iou: 0.2280 d3.dn_loss_cls: 0.0690 d3.dn_loss_bbox: 0.1693 d3.dn_loss_iou: 0.2239 d4.dn_loss_cls: 0.0612 d4.dn_loss_bbox: 0.1685 d4.dn_loss_iou: 0.2230 d1.loss_lmm_region: 0.1019 loss_lmm_image: 0.6421 +2024/11/08 22:07:07 - mmengine - INFO - Iter(train) [138700/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:16:28 time: 1.0216 data_time: 0.0187 memory: 23581 grad_norm: 20.5269 loss: 8.8077 loss_cls: 0.2749 loss_bbox: 0.1372 loss_iou: 0.2564 d0.loss_cls: 0.3156 d0.loss_bbox: 0.1507 d0.loss_iou: 0.2724 d1.loss_cls: 0.2918 d1.loss_bbox: 0.1462 d1.loss_iou: 0.2612 d2.loss_cls: 0.2846 d2.loss_bbox: 0.1420 d2.loss_iou: 0.2577 d3.loss_cls: 0.2786 d3.loss_bbox: 0.1390 d3.loss_iou: 0.2557 d4.loss_cls: 0.2753 d4.loss_bbox: 0.1374 d4.loss_iou: 0.2554 enc_loss_cls: 0.3359 enc_loss_bbox: 0.1616 enc_loss_iou: 0.2896 dn_loss_cls: 0.0769 dn_loss_bbox: 0.1549 dn_loss_iou: 0.2104 d0.dn_loss_cls: 0.1545 d0.dn_loss_bbox: 0.2805 d0.dn_loss_iou: 0.3364 d1.dn_loss_cls: 0.1036 d1.dn_loss_bbox: 0.1826 d1.dn_loss_iou: 0.2371 d2.dn_loss_cls: 0.0900 d2.dn_loss_bbox: 0.1611 d2.dn_loss_iou: 0.2166 d3.dn_loss_cls: 0.0822 d3.dn_loss_bbox: 0.1555 d3.dn_loss_iou: 0.2117 d4.dn_loss_cls: 0.0776 d4.dn_loss_bbox: 0.1550 d4.dn_loss_iou: 0.2104 d1.loss_lmm_region: 0.0990 loss_lmm_image: 0.6921 +2024/11/08 22:08:50 - mmengine - INFO - Iter(train) [138800/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:14:44 time: 1.0390 data_time: 0.0187 memory: 23821 grad_norm: 19.5461 loss: 8.9482 loss_cls: 0.3019 loss_bbox: 0.1378 loss_iou: 0.2545 d0.loss_cls: 0.3311 d0.loss_bbox: 0.1598 d0.loss_iou: 0.2748 d1.loss_cls: 0.3133 d1.loss_bbox: 0.1449 d1.loss_iou: 0.2628 d2.loss_cls: 0.3085 d2.loss_bbox: 0.1411 d2.loss_iou: 0.2558 d3.loss_cls: 0.3022 d3.loss_bbox: 0.1392 d3.loss_iou: 0.2559 d4.loss_cls: 0.2990 d4.loss_bbox: 0.1388 d4.loss_iou: 0.2559 enc_loss_cls: 0.3490 enc_loss_bbox: 0.1613 enc_loss_iou: 0.2852 dn_loss_cls: 0.0825 dn_loss_bbox: 0.1448 dn_loss_iou: 0.2076 d0.dn_loss_cls: 0.1669 d0.dn_loss_bbox: 0.2930 d0.dn_loss_iou: 0.3466 d1.dn_loss_cls: 0.1090 d1.dn_loss_bbox: 0.1747 d1.dn_loss_iou: 0.2359 d2.dn_loss_cls: 0.0921 d2.dn_loss_bbox: 0.1504 d2.dn_loss_iou: 0.2144 d3.dn_loss_cls: 0.0827 d3.dn_loss_bbox: 0.1453 d3.dn_loss_iou: 0.2083 d4.dn_loss_cls: 0.0829 d4.dn_loss_bbox: 0.1448 d4.dn_loss_iou: 0.2077 d1.loss_lmm_region: 0.1033 loss_lmm_image: 0.6825 +2024/11/08 22:10:33 - mmengine - INFO - Iter(train) [138900/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:12:59 time: 1.0230 data_time: 0.0189 memory: 23558 grad_norm: 19.5738 loss: 9.4403 loss_cls: 0.2952 loss_bbox: 0.1746 loss_iou: 0.2860 d0.loss_cls: 0.3337 d0.loss_bbox: 0.1829 d0.loss_iou: 0.3069 d1.loss_cls: 0.3129 d1.loss_bbox: 0.1805 d1.loss_iou: 0.2976 d2.loss_cls: 0.3075 d2.loss_bbox: 0.1741 d2.loss_iou: 0.2872 d3.loss_cls: 0.3039 d3.loss_bbox: 0.1736 d3.loss_iou: 0.2845 d4.loss_cls: 0.2993 d4.loss_bbox: 0.1725 d4.loss_iou: 0.2855 enc_loss_cls: 0.3506 enc_loss_bbox: 0.1935 enc_loss_iou: 0.3208 dn_loss_cls: 0.0675 dn_loss_bbox: 0.1579 dn_loss_iou: 0.2121 d0.dn_loss_cls: 0.1491 d0.dn_loss_bbox: 0.3075 d0.dn_loss_iou: 0.3558 d1.dn_loss_cls: 0.0990 d1.dn_loss_bbox: 0.1888 d1.dn_loss_iou: 0.2430 d2.dn_loss_cls: 0.0821 d2.dn_loss_bbox: 0.1678 d2.dn_loss_iou: 0.2208 d3.dn_loss_cls: 0.0734 d3.dn_loss_bbox: 0.1604 d3.dn_loss_iou: 0.2138 d4.dn_loss_cls: 0.0684 d4.dn_loss_bbox: 0.1579 d4.dn_loss_iou: 0.2121 d1.loss_lmm_region: 0.1063 loss_lmm_image: 0.6729 +2024/11/08 22:12:16 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/08 22:12:16 - mmengine - INFO - Iter(train) [139000/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:11:15 time: 1.0310 data_time: 0.0188 memory: 23609 grad_norm: 18.7672 loss: 8.1643 loss_cls: 0.2438 loss_bbox: 0.1239 loss_iou: 0.2244 d0.loss_cls: 0.2752 d0.loss_bbox: 0.1297 d0.loss_iou: 0.2387 d1.loss_cls: 0.2579 d1.loss_bbox: 0.1240 d1.loss_iou: 0.2263 d2.loss_cls: 0.2513 d2.loss_bbox: 0.1217 d2.loss_iou: 0.2254 d3.loss_cls: 0.2476 d3.loss_bbox: 0.1222 d3.loss_iou: 0.2237 d4.loss_cls: 0.2428 d4.loss_bbox: 0.1241 d4.loss_iou: 0.2261 enc_loss_cls: 0.2925 enc_loss_bbox: 0.1394 enc_loss_iou: 0.2520 dn_loss_cls: 0.0870 dn_loss_bbox: 0.1504 dn_loss_iou: 0.1938 d0.dn_loss_cls: 0.1723 d0.dn_loss_bbox: 0.2865 d0.dn_loss_iou: 0.3285 d1.dn_loss_cls: 0.1230 d1.dn_loss_bbox: 0.1790 d1.dn_loss_iou: 0.2239 d2.dn_loss_cls: 0.1060 d2.dn_loss_bbox: 0.1576 d2.dn_loss_iou: 0.2020 d3.dn_loss_cls: 0.0949 d3.dn_loss_bbox: 0.1511 d3.dn_loss_iou: 0.1951 d4.dn_loss_cls: 0.0869 d4.dn_loss_bbox: 0.1504 d4.dn_loss_iou: 0.1939 d1.loss_lmm_region: 0.0971 loss_lmm_image: 0.6720 +2024/11/08 22:13:59 - mmengine - INFO - Iter(train) [139100/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:09:30 time: 1.0247 data_time: 0.0188 memory: 23440 grad_norm: 20.0561 loss: 9.3811 loss_cls: 0.3191 loss_bbox: 0.1420 loss_iou: 0.2910 d0.loss_cls: 0.3550 d0.loss_bbox: 0.1541 d0.loss_iou: 0.3107 d1.loss_cls: 0.3303 d1.loss_bbox: 0.1453 d1.loss_iou: 0.2999 d2.loss_cls: 0.3214 d2.loss_bbox: 0.1437 d2.loss_iou: 0.2975 d3.loss_cls: 0.3215 d3.loss_bbox: 0.1415 d3.loss_iou: 0.2917 d4.loss_cls: 0.3188 d4.loss_bbox: 0.1436 d4.loss_iou: 0.2919 enc_loss_cls: 0.3670 enc_loss_bbox: 0.1620 enc_loss_iou: 0.3263 dn_loss_cls: 0.0676 dn_loss_bbox: 0.1588 dn_loss_iou: 0.2135 d0.dn_loss_cls: 0.1551 d0.dn_loss_bbox: 0.3102 d0.dn_loss_iou: 0.3587 d1.dn_loss_cls: 0.0982 d1.dn_loss_bbox: 0.1969 d1.dn_loss_iou: 0.2475 d2.dn_loss_cls: 0.0812 d2.dn_loss_bbox: 0.1679 d2.dn_loss_iou: 0.2224 d3.dn_loss_cls: 0.0732 d3.dn_loss_bbox: 0.1605 d3.dn_loss_iou: 0.2154 d4.dn_loss_cls: 0.0690 d4.dn_loss_bbox: 0.1589 d4.dn_loss_iou: 0.2138 d1.loss_lmm_region: 0.1056 loss_lmm_image: 0.6324 +2024/11/08 22:15:42 - mmengine - INFO - Iter(train) [139200/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:07:46 time: 1.0271 data_time: 0.0189 memory: 23602 grad_norm: 18.9721 loss: 8.6527 loss_cls: 0.2807 loss_bbox: 0.1256 loss_iou: 0.2305 d0.loss_cls: 0.3142 d0.loss_bbox: 0.1369 d0.loss_iou: 0.2467 d1.loss_cls: 0.2999 d1.loss_bbox: 0.1270 d1.loss_iou: 0.2328 d2.loss_cls: 0.2916 d2.loss_bbox: 0.1232 d2.loss_iou: 0.2298 d3.loss_cls: 0.2843 d3.loss_bbox: 0.1276 d3.loss_iou: 0.2297 d4.loss_cls: 0.2826 d4.loss_bbox: 0.1249 d4.loss_iou: 0.2294 enc_loss_cls: 0.3346 enc_loss_bbox: 0.1480 enc_loss_iou: 0.2620 dn_loss_cls: 0.0834 dn_loss_bbox: 0.1594 dn_loss_iou: 0.2080 d0.dn_loss_cls: 0.1719 d0.dn_loss_bbox: 0.2960 d0.dn_loss_iou: 0.3473 d1.dn_loss_cls: 0.1168 d1.dn_loss_bbox: 0.1882 d1.dn_loss_iou: 0.2372 d2.dn_loss_cls: 0.0979 d2.dn_loss_bbox: 0.1657 d2.dn_loss_iou: 0.2151 d3.dn_loss_cls: 0.0893 d3.dn_loss_bbox: 0.1604 d3.dn_loss_iou: 0.2092 d4.dn_loss_cls: 0.0849 d4.dn_loss_bbox: 0.1594 d4.dn_loss_iou: 0.2081 d1.loss_lmm_region: 0.1026 loss_lmm_image: 0.6896 +2024/11/08 22:17:26 - mmengine - INFO - Iter(train) [139300/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:06:02 time: 1.0174 data_time: 0.0189 memory: 23425 grad_norm: 25.1998 loss: 8.5765 loss_cls: 0.2578 loss_bbox: 0.1133 loss_iou: 0.2265 d0.loss_cls: 0.2952 d0.loss_bbox: 0.1241 d0.loss_iou: 0.2423 d1.loss_cls: 0.2790 d1.loss_bbox: 0.1138 d1.loss_iou: 0.2302 d2.loss_cls: 0.2679 d2.loss_bbox: 0.1123 d2.loss_iou: 0.2295 d3.loss_cls: 0.2633 d3.loss_bbox: 0.1132 d3.loss_iou: 0.2263 d4.loss_cls: 0.2583 d4.loss_bbox: 0.1138 d4.loss_iou: 0.2280 enc_loss_cls: 0.3133 enc_loss_bbox: 0.1361 enc_loss_iou: 0.2650 dn_loss_cls: 0.1444 dn_loss_bbox: 0.1372 dn_loss_iou: 0.1954 d0.dn_loss_cls: 0.2134 d0.dn_loss_bbox: 0.2688 d0.dn_loss_iou: 0.3339 d1.dn_loss_cls: 0.1778 d1.dn_loss_bbox: 0.1650 d1.dn_loss_iou: 0.2255 d2.dn_loss_cls: 0.1573 d2.dn_loss_bbox: 0.1420 d2.dn_loss_iou: 0.2027 d3.dn_loss_cls: 0.1573 d3.dn_loss_bbox: 0.1377 d3.dn_loss_iou: 0.1966 d4.dn_loss_cls: 0.1447 d4.dn_loss_bbox: 0.1374 d4.dn_loss_iou: 0.1952 d1.loss_lmm_region: 0.1068 loss_lmm_image: 0.7281 +2024/11/08 22:19:09 - mmengine - INFO - Iter(train) [139400/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:04:17 time: 1.0385 data_time: 0.0188 memory: 23998 grad_norm: 19.8703 loss: 9.9618 loss_cls: 0.3108 loss_bbox: 0.1501 loss_iou: 0.2943 d0.loss_cls: 0.3503 d0.loss_bbox: 0.1676 d0.loss_iou: 0.3115 d1.loss_cls: 0.3325 d1.loss_bbox: 0.1557 d1.loss_iou: 0.2998 d2.loss_cls: 0.3236 d2.loss_bbox: 0.1488 d2.loss_iou: 0.2956 d3.loss_cls: 0.3133 d3.loss_bbox: 0.1524 d3.loss_iou: 0.2985 d4.loss_cls: 0.3129 d4.loss_bbox: 0.1475 d4.loss_iou: 0.2920 enc_loss_cls: 0.3682 enc_loss_bbox: 0.1817 enc_loss_iou: 0.3341 dn_loss_cls: 0.0941 dn_loss_bbox: 0.1799 dn_loss_iou: 0.2358 d0.dn_loss_cls: 0.1836 d0.dn_loss_bbox: 0.3398 d0.dn_loss_iou: 0.3892 d1.dn_loss_cls: 0.1229 d1.dn_loss_bbox: 0.2172 d1.dn_loss_iou: 0.2698 d2.dn_loss_cls: 0.1057 d2.dn_loss_bbox: 0.1915 d2.dn_loss_iou: 0.2452 d3.dn_loss_cls: 0.0979 d3.dn_loss_bbox: 0.1817 d3.dn_loss_iou: 0.2376 d4.dn_loss_cls: 0.0947 d4.dn_loss_bbox: 0.1800 d4.dn_loss_iou: 0.2358 d1.loss_lmm_region: 0.1318 loss_lmm_image: 0.6865 +2024/11/08 22:20:54 - mmengine - INFO - Iter(train) [139500/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:02:33 time: 1.0663 data_time: 0.0634 memory: 24610 grad_norm: 20.5566 loss: 9.2354 loss_cls: 0.2872 loss_bbox: 0.1392 loss_iou: 0.2995 d0.loss_cls: 0.3165 d0.loss_bbox: 0.1576 d0.loss_iou: 0.3187 d1.loss_cls: 0.3038 d1.loss_bbox: 0.1444 d1.loss_iou: 0.3043 d2.loss_cls: 0.2967 d2.loss_bbox: 0.1393 d2.loss_iou: 0.2971 d3.loss_cls: 0.2985 d3.loss_bbox: 0.1366 d3.loss_iou: 0.2942 d4.loss_cls: 0.2885 d4.loss_bbox: 0.1382 d4.loss_iou: 0.2985 enc_loss_cls: 0.3330 enc_loss_bbox: 0.1659 enc_loss_iou: 0.3406 dn_loss_cls: 0.0760 dn_loss_bbox: 0.1511 dn_loss_iou: 0.2275 d0.dn_loss_cls: 0.1551 d0.dn_loss_bbox: 0.3015 d0.dn_loss_iou: 0.3777 d1.dn_loss_cls: 0.1010 d1.dn_loss_bbox: 0.1812 d1.dn_loss_iou: 0.2581 d2.dn_loss_cls: 0.0857 d2.dn_loss_bbox: 0.1609 d2.dn_loss_iou: 0.2349 d3.dn_loss_cls: 0.0797 d3.dn_loss_bbox: 0.1527 d3.dn_loss_iou: 0.2289 d4.dn_loss_cls: 0.0766 d4.dn_loss_bbox: 0.1511 d4.dn_loss_iou: 0.2275 d1.loss_lmm_region: 0.0913 loss_lmm_image: 0.6187 +2024/11/08 22:22:36 - mmengine - INFO - Iter(train) [139600/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:00:48 time: 1.0245 data_time: 0.0190 memory: 23083 grad_norm: 20.6966 loss: 8.6088 loss_cls: 0.2650 loss_bbox: 0.1312 loss_iou: 0.2345 d0.loss_cls: 0.2924 d0.loss_bbox: 0.1425 d0.loss_iou: 0.2477 d1.loss_cls: 0.2790 d1.loss_bbox: 0.1373 d1.loss_iou: 0.2400 d2.loss_cls: 0.2718 d2.loss_bbox: 0.1339 d2.loss_iou: 0.2361 d3.loss_cls: 0.2679 d3.loss_bbox: 0.1320 d3.loss_iou: 0.2356 d4.loss_cls: 0.2654 d4.loss_bbox: 0.1319 d4.loss_iou: 0.2353 enc_loss_cls: 0.3069 enc_loss_bbox: 0.1552 enc_loss_iou: 0.2645 dn_loss_cls: 0.0801 dn_loss_bbox: 0.1639 dn_loss_iou: 0.2170 d0.dn_loss_cls: 0.1632 d0.dn_loss_bbox: 0.3188 d0.dn_loss_iou: 0.3652 d1.dn_loss_cls: 0.1091 d1.dn_loss_bbox: 0.1991 d1.dn_loss_iou: 0.2496 d2.dn_loss_cls: 0.0944 d2.dn_loss_bbox: 0.1739 d2.dn_loss_iou: 0.2254 d3.dn_loss_cls: 0.0842 d3.dn_loss_bbox: 0.1656 d3.dn_loss_iou: 0.2185 d4.dn_loss_cls: 0.0823 d4.dn_loss_bbox: 0.1639 d4.dn_loss_iou: 0.2172 d1.loss_lmm_region: 0.0917 loss_lmm_image: 0.6194 +2024/11/08 22:24:19 - mmengine - INFO - Iter(train) [139700/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 2:59:04 time: 1.0290 data_time: 0.0186 memory: 23514 grad_norm: 22.1930 loss: 8.8595 loss_cls: 0.2874 loss_bbox: 0.1224 loss_iou: 0.2861 d0.loss_cls: 0.3138 d0.loss_bbox: 0.1373 d0.loss_iou: 0.3068 d1.loss_cls: 0.3015 d1.loss_bbox: 0.1304 d1.loss_iou: 0.2965 d2.loss_cls: 0.2937 d2.loss_bbox: 0.1245 d2.loss_iou: 0.2888 d3.loss_cls: 0.2926 d3.loss_bbox: 0.1219 d3.loss_iou: 0.2866 d4.loss_cls: 0.2876 d4.loss_bbox: 0.1209 d4.loss_iou: 0.2851 enc_loss_cls: 0.3318 enc_loss_bbox: 0.1493 enc_loss_iou: 0.3219 dn_loss_cls: 0.0689 dn_loss_bbox: 0.1407 dn_loss_iou: 0.2178 d0.dn_loss_cls: 0.1420 d0.dn_loss_bbox: 0.2674 d0.dn_loss_iou: 0.3559 d1.dn_loss_cls: 0.0929 d1.dn_loss_bbox: 0.1680 d1.dn_loss_iou: 0.2510 d2.dn_loss_cls: 0.0789 d2.dn_loss_bbox: 0.1504 d2.dn_loss_iou: 0.2287 d3.dn_loss_cls: 0.0729 d3.dn_loss_bbox: 0.1418 d3.dn_loss_iou: 0.2195 d4.dn_loss_cls: 0.0689 d4.dn_loss_bbox: 0.1405 d4.dn_loss_iou: 0.2178 d1.loss_lmm_region: 0.0816 loss_lmm_image: 0.6668 +2024/11/08 22:26:01 - mmengine - INFO - Iter(train) [139800/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 2:57:19 time: 1.0141 data_time: 0.0187 memory: 23076 grad_norm: 23.2858 loss: 8.9459 loss_cls: 0.2867 loss_bbox: 0.1338 loss_iou: 0.2583 d0.loss_cls: 0.3164 d0.loss_bbox: 0.1509 d0.loss_iou: 0.2806 d1.loss_cls: 0.3054 d1.loss_bbox: 0.1364 d1.loss_iou: 0.2662 d2.loss_cls: 0.2980 d2.loss_bbox: 0.1343 d2.loss_iou: 0.2597 d3.loss_cls: 0.2925 d3.loss_bbox: 0.1335 d3.loss_iou: 0.2585 d4.loss_cls: 0.2840 d4.loss_bbox: 0.1337 d4.loss_iou: 0.2582 enc_loss_cls: 0.3411 enc_loss_bbox: 0.1611 enc_loss_iou: 0.2964 dn_loss_cls: 0.0738 dn_loss_bbox: 0.1605 dn_loss_iou: 0.2175 d0.dn_loss_cls: 0.1595 d0.dn_loss_bbox: 0.3047 d0.dn_loss_iou: 0.3597 d1.dn_loss_cls: 0.1051 d1.dn_loss_bbox: 0.1953 d1.dn_loss_iou: 0.2498 d2.dn_loss_cls: 0.0888 d2.dn_loss_bbox: 0.1699 d2.dn_loss_iou: 0.2264 d3.dn_loss_cls: 0.0794 d3.dn_loss_bbox: 0.1619 d3.dn_loss_iou: 0.2188 d4.dn_loss_cls: 0.0746 d4.dn_loss_bbox: 0.1606 d4.dn_loss_iou: 0.2175 d1.loss_lmm_region: 0.0901 loss_lmm_image: 0.6464 +2024/11/08 22:27:45 - mmengine - INFO - Iter(train) [139900/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 2:55:35 time: 1.0316 data_time: 0.0190 memory: 23473 grad_norm: 19.9669 loss: 9.1085 loss_cls: 0.2853 loss_bbox: 0.1413 loss_iou: 0.2428 d0.loss_cls: 0.3231 d0.loss_bbox: 0.1590 d0.loss_iou: 0.2624 d1.loss_cls: 0.3056 d1.loss_bbox: 0.1475 d1.loss_iou: 0.2491 d2.loss_cls: 0.2990 d2.loss_bbox: 0.1417 d2.loss_iou: 0.2424 d3.loss_cls: 0.2914 d3.loss_bbox: 0.1401 d3.loss_iou: 0.2424 d4.loss_cls: 0.2907 d4.loss_bbox: 0.1399 d4.loss_iou: 0.2392 enc_loss_cls: 0.3391 enc_loss_bbox: 0.1724 enc_loss_iou: 0.2822 dn_loss_cls: 0.0972 dn_loss_bbox: 0.1698 dn_loss_iou: 0.2128 d0.dn_loss_cls: 0.1795 d0.dn_loss_bbox: 0.3226 d0.dn_loss_iou: 0.3536 d1.dn_loss_cls: 0.1274 d1.dn_loss_bbox: 0.2048 d1.dn_loss_iou: 0.2454 d2.dn_loss_cls: 0.1119 d2.dn_loss_bbox: 0.1811 d2.dn_loss_iou: 0.2221 d3.dn_loss_cls: 0.1022 d3.dn_loss_bbox: 0.1708 d3.dn_loss_iou: 0.2138 d4.dn_loss_cls: 0.0982 d4.dn_loss_bbox: 0.1698 d4.dn_loss_iou: 0.2128 d1.loss_lmm_region: 0.1173 loss_lmm_image: 0.6587 +2024/11/08 22:29:28 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/08 22:29:28 - mmengine - INFO - Iter(train) [140000/150000] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 2:53:51 time: 1.0263 data_time: 0.0188 memory: 23438 grad_norm: 21.1762 loss: 9.7177 loss_cls: 0.2994 loss_bbox: 0.1669 loss_iou: 0.2869 d0.loss_cls: 0.3236 d0.loss_bbox: 0.1799 d0.loss_iou: 0.3074 d1.loss_cls: 0.3092 d1.loss_bbox: 0.1713 d1.loss_iou: 0.2950 d2.loss_cls: 0.3074 d2.loss_bbox: 0.1669 d2.loss_iou: 0.2897 d3.loss_cls: 0.3017 d3.loss_bbox: 0.1677 d3.loss_iou: 0.2870 d4.loss_cls: 0.2998 d4.loss_bbox: 0.1674 d4.loss_iou: 0.2870 enc_loss_cls: 0.3418 enc_loss_bbox: 0.1946 enc_loss_iou: 0.3283 dn_loss_cls: 0.0751 dn_loss_bbox: 0.1763 dn_loss_iou: 0.2402 d0.dn_loss_cls: 0.1723 d0.dn_loss_bbox: 0.3434 d0.dn_loss_iou: 0.3943 d1.dn_loss_cls: 0.1105 d1.dn_loss_bbox: 0.2093 d1.dn_loss_iou: 0.2715 d2.dn_loss_cls: 0.0923 d2.dn_loss_bbox: 0.1820 d2.dn_loss_iou: 0.2469 d3.dn_loss_cls: 0.0827 d3.dn_loss_bbox: 0.1771 d3.dn_loss_iou: 0.2409 d4.dn_loss_cls: 0.0767 d4.dn_loss_bbox: 0.1764 d4.dn_loss_iou: 0.2401 d1.loss_lmm_region: 0.1252 loss_lmm_image: 0.6055 +2024/11/08 22:31:11 - mmengine - INFO - Iter(train) [140100/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:52:06 time: 1.0361 data_time: 0.0190 memory: 23380 grad_norm: 18.5749 loss: 7.6571 loss_cls: 0.2306 loss_bbox: 0.1141 loss_iou: 0.2010 d0.loss_cls: 0.2590 d0.loss_bbox: 0.1218 d0.loss_iou: 0.2201 d1.loss_cls: 0.2456 d1.loss_bbox: 0.1158 d1.loss_iou: 0.2066 d2.loss_cls: 0.2397 d2.loss_bbox: 0.1129 d2.loss_iou: 0.2014 d3.loss_cls: 0.2371 d3.loss_bbox: 0.1127 d3.loss_iou: 0.2008 d4.loss_cls: 0.2316 d4.loss_bbox: 0.1140 d4.loss_iou: 0.2010 enc_loss_cls: 0.2792 enc_loss_bbox: 0.1325 enc_loss_iou: 0.2331 dn_loss_cls: 0.0644 dn_loss_bbox: 0.1559 dn_loss_iou: 0.1859 d0.dn_loss_cls: 0.1404 d0.dn_loss_bbox: 0.2963 d0.dn_loss_iou: 0.3202 d1.dn_loss_cls: 0.0895 d1.dn_loss_bbox: 0.1839 d1.dn_loss_iou: 0.2126 d2.dn_loss_cls: 0.0749 d2.dn_loss_bbox: 0.1638 d2.dn_loss_iou: 0.1938 d3.dn_loss_cls: 0.0670 d3.dn_loss_bbox: 0.1571 d3.dn_loss_iou: 0.1874 d4.dn_loss_cls: 0.0642 d4.dn_loss_bbox: 0.1560 d4.dn_loss_iou: 0.1860 d1.loss_lmm_region: 0.0892 loss_lmm_image: 0.6581 +2024/11/08 22:32:54 - mmengine - INFO - Iter(train) [140200/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:50:22 time: 1.0408 data_time: 0.0190 memory: 23435 grad_norm: 23.1585 loss: 8.6126 loss_cls: 0.2752 loss_bbox: 0.1359 loss_iou: 0.2395 d0.loss_cls: 0.3044 d0.loss_bbox: 0.1502 d0.loss_iou: 0.2540 d1.loss_cls: 0.2891 d1.loss_bbox: 0.1432 d1.loss_iou: 0.2458 d2.loss_cls: 0.2818 d2.loss_bbox: 0.1401 d2.loss_iou: 0.2407 d3.loss_cls: 0.2819 d3.loss_bbox: 0.1383 d3.loss_iou: 0.2411 d4.loss_cls: 0.2746 d4.loss_bbox: 0.1370 d4.loss_iou: 0.2398 enc_loss_cls: 0.3197 enc_loss_bbox: 0.1644 enc_loss_iou: 0.2731 dn_loss_cls: 0.0818 dn_loss_bbox: 0.1548 dn_loss_iou: 0.2038 d0.dn_loss_cls: 0.1671 d0.dn_loss_bbox: 0.2929 d0.dn_loss_iou: 0.3376 d1.dn_loss_cls: 0.1180 d1.dn_loss_bbox: 0.1842 d1.dn_loss_iou: 0.2316 d2.dn_loss_cls: 0.1033 d2.dn_loss_bbox: 0.1634 d2.dn_loss_iou: 0.2114 d3.dn_loss_cls: 0.0873 d3.dn_loss_bbox: 0.1553 d3.dn_loss_iou: 0.2049 d4.dn_loss_cls: 0.0834 d4.dn_loss_bbox: 0.1548 d4.dn_loss_iou: 0.2039 d1.loss_lmm_region: 0.1085 loss_lmm_image: 0.5946 +2024/11/08 22:34:38 - mmengine - INFO - Iter(train) [140300/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:48:38 time: 1.0311 data_time: 0.0189 memory: 24821 grad_norm: 19.7251 loss: 8.1205 loss_cls: 0.2373 loss_bbox: 0.1228 loss_iou: 0.2171 d0.loss_cls: 0.2665 d0.loss_bbox: 0.1385 d0.loss_iou: 0.2361 d1.loss_cls: 0.2490 d1.loss_bbox: 0.1330 d1.loss_iou: 0.2271 d2.loss_cls: 0.2450 d2.loss_bbox: 0.1281 d2.loss_iou: 0.2226 d3.loss_cls: 0.2391 d3.loss_bbox: 0.1271 d3.loss_iou: 0.2189 d4.loss_cls: 0.2400 d4.loss_bbox: 0.1226 d4.loss_iou: 0.2167 enc_loss_cls: 0.2807 enc_loss_bbox: 0.1521 enc_loss_iou: 0.2537 dn_loss_cls: 0.0591 dn_loss_bbox: 0.1692 dn_loss_iou: 0.2030 d0.dn_loss_cls: 0.1440 d0.dn_loss_bbox: 0.3198 d0.dn_loss_iou: 0.3504 d1.dn_loss_cls: 0.0942 d1.dn_loss_bbox: 0.2023 d1.dn_loss_iou: 0.2370 d2.dn_loss_cls: 0.0790 d2.dn_loss_bbox: 0.1797 d2.dn_loss_iou: 0.2120 d3.dn_loss_cls: 0.0667 d3.dn_loss_bbox: 0.1706 d3.dn_loss_iou: 0.2043 d4.dn_loss_cls: 0.0601 d4.dn_loss_bbox: 0.1691 d4.dn_loss_iou: 0.2030 d1.loss_lmm_region: 0.0899 loss_lmm_image: 0.6328 +2024/11/08 22:36:22 - mmengine - INFO - Iter(train) [140400/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:46:53 time: 1.0449 data_time: 0.0189 memory: 24140 grad_norm: 20.5693 loss: 8.0047 loss_cls: 0.2575 loss_bbox: 0.1135 loss_iou: 0.2200 d0.loss_cls: 0.2826 d0.loss_bbox: 0.1283 d0.loss_iou: 0.2372 d1.loss_cls: 0.2727 d1.loss_bbox: 0.1157 d1.loss_iou: 0.2253 d2.loss_cls: 0.2649 d2.loss_bbox: 0.1163 d2.loss_iou: 0.2239 d3.loss_cls: 0.2614 d3.loss_bbox: 0.1150 d3.loss_iou: 0.2213 d4.loss_cls: 0.2584 d4.loss_bbox: 0.1134 d4.loss_iou: 0.2193 enc_loss_cls: 0.2988 enc_loss_bbox: 0.1375 enc_loss_iou: 0.2544 dn_loss_cls: 0.0760 dn_loss_bbox: 0.1465 dn_loss_iou: 0.1971 d0.dn_loss_cls: 0.1516 d0.dn_loss_bbox: 0.2878 d0.dn_loss_iou: 0.3370 d1.dn_loss_cls: 0.1021 d1.dn_loss_bbox: 0.1728 d1.dn_loss_iou: 0.2266 d2.dn_loss_cls: 0.0895 d2.dn_loss_bbox: 0.1545 d2.dn_loss_iou: 0.2058 d3.dn_loss_cls: 0.0809 d3.dn_loss_bbox: 0.1477 d3.dn_loss_iou: 0.1988 d4.dn_loss_cls: 0.0768 d4.dn_loss_bbox: 0.1465 d4.dn_loss_iou: 0.1971 d1.loss_lmm_region: 0.0876 loss_lmm_image: 0.5847 +2024/11/08 22:38:05 - mmengine - INFO - Iter(train) [140500/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:45:09 time: 1.0278 data_time: 0.0188 memory: 23081 grad_norm: 19.6059 loss: 7.5935 loss_cls: 0.2188 loss_bbox: 0.1138 loss_iou: 0.1888 d0.loss_cls: 0.2497 d0.loss_bbox: 0.1275 d0.loss_iou: 0.2054 d1.loss_cls: 0.2341 d1.loss_bbox: 0.1206 d1.loss_iou: 0.1962 d2.loss_cls: 0.2269 d2.loss_bbox: 0.1168 d2.loss_iou: 0.1911 d3.loss_cls: 0.2247 d3.loss_bbox: 0.1127 d3.loss_iou: 0.1876 d4.loss_cls: 0.2219 d4.loss_bbox: 0.1135 d4.loss_iou: 0.1881 enc_loss_cls: 0.2649 enc_loss_bbox: 0.1381 enc_loss_iou: 0.2174 dn_loss_cls: 0.0638 dn_loss_bbox: 0.1614 dn_loss_iou: 0.1961 d0.dn_loss_cls: 0.1612 d0.dn_loss_bbox: 0.3198 d0.dn_loss_iou: 0.3439 d1.dn_loss_cls: 0.0975 d1.dn_loss_bbox: 0.1935 d1.dn_loss_iou: 0.2287 d2.dn_loss_cls: 0.0799 d2.dn_loss_bbox: 0.1674 d2.dn_loss_iou: 0.2048 d3.dn_loss_cls: 0.0690 d3.dn_loss_bbox: 0.1619 d3.dn_loss_iou: 0.1977 d4.dn_loss_cls: 0.0647 d4.dn_loss_bbox: 0.1614 d4.dn_loss_iou: 0.1961 d1.loss_lmm_region: 0.1030 loss_lmm_image: 0.5629 +2024/11/08 22:39:49 - mmengine - INFO - Iter(train) [140600/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:43:25 time: 1.0364 data_time: 0.0189 memory: 24587 grad_norm: 20.2261 loss: 8.4764 loss_cls: 0.2429 loss_bbox: 0.1347 loss_iou: 0.2434 d0.loss_cls: 0.2801 d0.loss_bbox: 0.1446 d0.loss_iou: 0.2576 d1.loss_cls: 0.2595 d1.loss_bbox: 0.1404 d1.loss_iou: 0.2544 d2.loss_cls: 0.2559 d2.loss_bbox: 0.1343 d2.loss_iou: 0.2470 d3.loss_cls: 0.2481 d3.loss_bbox: 0.1344 d3.loss_iou: 0.2440 d4.loss_cls: 0.2466 d4.loss_bbox: 0.1333 d4.loss_iou: 0.2417 enc_loss_cls: 0.2919 enc_loss_bbox: 0.1569 enc_loss_iou: 0.2749 dn_loss_cls: 0.0671 dn_loss_bbox: 0.1726 dn_loss_iou: 0.2118 d0.dn_loss_cls: 0.1472 d0.dn_loss_bbox: 0.3078 d0.dn_loss_iou: 0.3439 d1.dn_loss_cls: 0.0932 d1.dn_loss_bbox: 0.2048 d1.dn_loss_iou: 0.2397 d2.dn_loss_cls: 0.0789 d2.dn_loss_bbox: 0.1828 d2.dn_loss_iou: 0.2193 d3.dn_loss_cls: 0.0704 d3.dn_loss_bbox: 0.1741 d3.dn_loss_iou: 0.2130 d4.dn_loss_cls: 0.0665 d4.dn_loss_bbox: 0.1729 d4.dn_loss_iou: 0.2118 d1.loss_lmm_region: 0.0932 loss_lmm_image: 0.6390 +2024/11/08 22:41:32 - mmengine - INFO - Iter(train) [140700/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:41:40 time: 1.0260 data_time: 0.0189 memory: 23546 grad_norm: nan loss: 9.7053 loss_cls: 0.2834 loss_bbox: 0.1607 loss_iou: 0.2688 d0.loss_cls: 0.3218 d0.loss_bbox: 0.1781 d0.loss_iou: 0.2920 d1.loss_cls: 0.3041 d1.loss_bbox: 0.1680 d1.loss_iou: 0.2758 d2.loss_cls: 0.2901 d2.loss_bbox: 0.1681 d2.loss_iou: 0.2752 d3.loss_cls: 0.2863 d3.loss_bbox: 0.1620 d3.loss_iou: 0.2705 d4.loss_cls: 0.2818 d4.loss_bbox: 0.1618 d4.loss_iou: 0.2696 enc_loss_cls: 0.3388 enc_loss_bbox: 0.1863 enc_loss_iou: 0.3056 dn_loss_cls: 0.0827 dn_loss_bbox: 0.2010 dn_loss_iou: 0.2540 d0.dn_loss_cls: 0.1786 d0.dn_loss_bbox: 0.3575 d0.dn_loss_iou: 0.4083 d1.dn_loss_cls: 0.1171 d1.dn_loss_bbox: 0.2343 d1.dn_loss_iou: 0.2854 d2.dn_loss_cls: 0.1010 d2.dn_loss_bbox: 0.2110 d2.dn_loss_iou: 0.2630 d3.dn_loss_cls: 0.0892 d3.dn_loss_bbox: 0.2027 d3.dn_loss_iou: 0.2553 d4.dn_loss_cls: 0.0837 d4.dn_loss_bbox: 0.2012 d4.dn_loss_iou: 0.2541 d1.loss_lmm_region: 0.0967 loss_lmm_image: 0.5797 +2024/11/08 22:43:15 - mmengine - INFO - Iter(train) [140800/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:39:56 time: 1.0310 data_time: 0.0191 memory: 23450 grad_norm: 20.3073 loss: 7.1933 loss_cls: 0.2089 loss_bbox: 0.0998 loss_iou: 0.1855 d0.loss_cls: 0.2344 d0.loss_bbox: 0.1135 d0.loss_iou: 0.2028 d1.loss_cls: 0.2191 d1.loss_bbox: 0.1064 d1.loss_iou: 0.1934 d2.loss_cls: 0.2117 d2.loss_bbox: 0.1047 d2.loss_iou: 0.1895 d3.loss_cls: 0.2135 d3.loss_bbox: 0.1002 d3.loss_iou: 0.1861 d4.loss_cls: 0.2101 d4.loss_bbox: 0.1005 d4.loss_iou: 0.1868 enc_loss_cls: 0.2505 enc_loss_bbox: 0.1255 enc_loss_iou: 0.2201 dn_loss_cls: 0.0630 dn_loss_bbox: 0.1427 dn_loss_iou: 0.1824 d0.dn_loss_cls: 0.1501 d0.dn_loss_bbox: 0.3004 d0.dn_loss_iou: 0.3254 d1.dn_loss_cls: 0.0941 d1.dn_loss_bbox: 0.1746 d1.dn_loss_iou: 0.2117 d2.dn_loss_cls: 0.0781 d2.dn_loss_bbox: 0.1497 d2.dn_loss_iou: 0.1887 d3.dn_loss_cls: 0.0679 d3.dn_loss_bbox: 0.1443 d3.dn_loss_iou: 0.1839 d4.dn_loss_cls: 0.0644 d4.dn_loss_bbox: 0.1426 d4.dn_loss_iou: 0.1825 d1.loss_lmm_region: 0.0906 loss_lmm_image: 0.5932 +2024/11/08 22:44:58 - mmengine - INFO - Iter(train) [140900/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:38:11 time: 1.0338 data_time: 0.0189 memory: 23385 grad_norm: 18.5995 loss: 8.8600 loss_cls: 0.2712 loss_bbox: 0.1361 loss_iou: 0.2293 d0.loss_cls: 0.3136 d0.loss_bbox: 0.1440 d0.loss_iou: 0.2441 d1.loss_cls: 0.2899 d1.loss_bbox: 0.1395 d1.loss_iou: 0.2323 d2.loss_cls: 0.2817 d2.loss_bbox: 0.1367 d2.loss_iou: 0.2309 d3.loss_cls: 0.2770 d3.loss_bbox: 0.1348 d3.loss_iou: 0.2278 d4.loss_cls: 0.2736 d4.loss_bbox: 0.1356 d4.loss_iou: 0.2281 enc_loss_cls: 0.3220 enc_loss_bbox: 0.1600 enc_loss_iou: 0.2633 dn_loss_cls: 0.0906 dn_loss_bbox: 0.1771 dn_loss_iou: 0.2111 d0.dn_loss_cls: 0.1823 d0.dn_loss_bbox: 0.3526 d0.dn_loss_iou: 0.3716 d1.dn_loss_cls: 0.1235 d1.dn_loss_bbox: 0.2256 d1.dn_loss_iou: 0.2509 d2.dn_loss_cls: 0.1044 d2.dn_loss_bbox: 0.1920 d2.dn_loss_iou: 0.2225 d3.dn_loss_cls: 0.0944 d3.dn_loss_bbox: 0.1805 d3.dn_loss_iou: 0.2135 d4.dn_loss_cls: 0.0917 d4.dn_loss_bbox: 0.1772 d4.dn_loss_iou: 0.2110 d1.loss_lmm_region: 0.0947 loss_lmm_image: 0.6213 +2024/11/08 22:46:41 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/08 22:46:41 - mmengine - INFO - Iter(train) [141000/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:36:27 time: 1.0307 data_time: 0.0191 memory: 23900 grad_norm: 19.0629 loss: 8.5979 loss_cls: 0.2522 loss_bbox: 0.1309 loss_iou: 0.2411 d0.loss_cls: 0.2875 d0.loss_bbox: 0.1488 d0.loss_iou: 0.2635 d1.loss_cls: 0.2744 d1.loss_bbox: 0.1344 d1.loss_iou: 0.2494 d2.loss_cls: 0.2618 d2.loss_bbox: 0.1336 d2.loss_iou: 0.2462 d3.loss_cls: 0.2584 d3.loss_bbox: 0.1307 d3.loss_iou: 0.2421 d4.loss_cls: 0.2545 d4.loss_bbox: 0.1305 d4.loss_iou: 0.2408 enc_loss_cls: 0.2995 enc_loss_bbox: 0.1585 enc_loss_iou: 0.2807 dn_loss_cls: 0.0720 dn_loss_bbox: 0.1645 dn_loss_iou: 0.2114 d0.dn_loss_cls: 0.1618 d0.dn_loss_bbox: 0.3144 d0.dn_loss_iou: 0.3590 d1.dn_loss_cls: 0.1023 d1.dn_loss_bbox: 0.1982 d1.dn_loss_iou: 0.2470 d2.dn_loss_cls: 0.0864 d2.dn_loss_bbox: 0.1745 d2.dn_loss_iou: 0.2223 d3.dn_loss_cls: 0.0754 d3.dn_loss_bbox: 0.1668 d3.dn_loss_iou: 0.2136 d4.dn_loss_cls: 0.0733 d4.dn_loss_bbox: 0.1645 d4.dn_loss_iou: 0.2113 d1.loss_lmm_region: 0.0876 loss_lmm_image: 0.6718 +2024/11/08 22:48:24 - mmengine - INFO - Iter(train) [141100/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:34:43 time: 1.0199 data_time: 0.0188 memory: 23141 grad_norm: nan loss: 9.9110 loss_cls: 0.3056 loss_bbox: 0.1625 loss_iou: 0.2900 d0.loss_cls: 0.3477 d0.loss_bbox: 0.1729 d0.loss_iou: 0.3043 d1.loss_cls: 0.3278 d1.loss_bbox: 0.1664 d1.loss_iou: 0.2968 d2.loss_cls: 0.3187 d2.loss_bbox: 0.1634 d2.loss_iou: 0.2924 d3.loss_cls: 0.3128 d3.loss_bbox: 0.1643 d3.loss_iou: 0.2894 d4.loss_cls: 0.3051 d4.loss_bbox: 0.1631 d4.loss_iou: 0.2911 enc_loss_cls: 0.3750 enc_loss_bbox: 0.1886 enc_loss_iou: 0.3240 dn_loss_cls: 0.0760 dn_loss_bbox: 0.1888 dn_loss_iou: 0.2323 d0.dn_loss_cls: 0.1781 d0.dn_loss_bbox: 0.3551 d0.dn_loss_iou: 0.3874 d1.dn_loss_cls: 0.1144 d1.dn_loss_bbox: 0.2305 d1.dn_loss_iou: 0.2686 d2.dn_loss_cls: 0.0948 d2.dn_loss_bbox: 0.2015 d2.dn_loss_iou: 0.2422 d3.dn_loss_cls: 0.0824 d3.dn_loss_bbox: 0.1906 d3.dn_loss_iou: 0.2343 d4.dn_loss_cls: 0.0765 d4.dn_loss_bbox: 0.1891 d4.dn_loss_iou: 0.2324 d1.loss_lmm_region: 0.1084 loss_lmm_image: 0.6657 +2024/11/08 22:50:08 - mmengine - INFO - Iter(train) [141200/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:32:58 time: 1.0378 data_time: 0.0190 memory: 23927 grad_norm: 19.1830 loss: 10.0996 loss_cls: 0.3244 loss_bbox: 0.1678 loss_iou: 0.3357 d0.loss_cls: 0.3745 d0.loss_bbox: 0.1792 d0.loss_iou: 0.3556 d1.loss_cls: 0.3516 d1.loss_bbox: 0.1707 d1.loss_iou: 0.3434 d2.loss_cls: 0.3426 d2.loss_bbox: 0.1667 d2.loss_iou: 0.3348 d3.loss_cls: 0.3362 d3.loss_bbox: 0.1660 d3.loss_iou: 0.3344 d4.loss_cls: 0.3276 d4.loss_bbox: 0.1677 d4.loss_iou: 0.3361 enc_loss_cls: 0.4007 enc_loss_bbox: 0.1922 enc_loss_iou: 0.3741 dn_loss_cls: 0.0763 dn_loss_bbox: 0.1584 dn_loss_iou: 0.2322 d0.dn_loss_cls: 0.1601 d0.dn_loss_bbox: 0.3024 d0.dn_loss_iou: 0.3789 d1.dn_loss_cls: 0.1027 d1.dn_loss_bbox: 0.1917 d1.dn_loss_iou: 0.2659 d2.dn_loss_cls: 0.0866 d2.dn_loss_bbox: 0.1679 d2.dn_loss_iou: 0.2420 d3.dn_loss_cls: 0.0807 d3.dn_loss_bbox: 0.1601 d3.dn_loss_iou: 0.2344 d4.dn_loss_cls: 0.0767 d4.dn_loss_bbox: 0.1583 d4.dn_loss_iou: 0.2323 d1.loss_lmm_region: 0.1042 loss_lmm_image: 0.6057 +2024/11/08 22:51:51 - mmengine - INFO - Iter(train) [141300/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:31:14 time: 1.0386 data_time: 0.0189 memory: 23457 grad_norm: 17.5700 loss: 8.9316 loss_cls: 0.2546 loss_bbox: 0.1455 loss_iou: 0.2600 d0.loss_cls: 0.2754 d0.loss_bbox: 0.1621 d0.loss_iou: 0.2810 d1.loss_cls: 0.2706 d1.loss_bbox: 0.1451 d1.loss_iou: 0.2616 d2.loss_cls: 0.2637 d2.loss_bbox: 0.1460 d2.loss_iou: 0.2628 d3.loss_cls: 0.2602 d3.loss_bbox: 0.1441 d3.loss_iou: 0.2601 d4.loss_cls: 0.2579 d4.loss_bbox: 0.1443 d4.loss_iou: 0.2586 enc_loss_cls: 0.2991 enc_loss_bbox: 0.1624 enc_loss_iou: 0.2904 dn_loss_cls: 0.0654 dn_loss_bbox: 0.1813 dn_loss_iou: 0.2335 d0.dn_loss_cls: 0.1544 d0.dn_loss_bbox: 0.3385 d0.dn_loss_iou: 0.3851 d1.dn_loss_cls: 0.0953 d1.dn_loss_bbox: 0.2105 d1.dn_loss_iou: 0.2637 d2.dn_loss_cls: 0.0795 d2.dn_loss_bbox: 0.1904 d2.dn_loss_iou: 0.2413 d3.dn_loss_cls: 0.0704 d3.dn_loss_bbox: 0.1822 d3.dn_loss_iou: 0.2343 d4.dn_loss_cls: 0.0660 d4.dn_loss_bbox: 0.1813 d4.dn_loss_iou: 0.2335 d1.loss_lmm_region: 0.0943 loss_lmm_image: 0.6250 +2024/11/08 22:53:35 - mmengine - INFO - Iter(train) [141400/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:29:30 time: 1.0390 data_time: 0.0190 memory: 23551 grad_norm: 18.8858 loss: 8.2910 loss_cls: 0.2465 loss_bbox: 0.1332 loss_iou: 0.2266 d0.loss_cls: 0.2804 d0.loss_bbox: 0.1460 d0.loss_iou: 0.2415 d1.loss_cls: 0.2610 d1.loss_bbox: 0.1399 d1.loss_iou: 0.2313 d2.loss_cls: 0.2530 d2.loss_bbox: 0.1358 d2.loss_iou: 0.2276 d3.loss_cls: 0.2511 d3.loss_bbox: 0.1350 d3.loss_iou: 0.2272 d4.loss_cls: 0.2487 d4.loss_bbox: 0.1348 d4.loss_iou: 0.2266 enc_loss_cls: 0.2959 enc_loss_bbox: 0.1607 enc_loss_iou: 0.2568 dn_loss_cls: 0.0724 dn_loss_bbox: 0.1630 dn_loss_iou: 0.2046 d0.dn_loss_cls: 0.1476 d0.dn_loss_bbox: 0.2935 d0.dn_loss_iou: 0.3364 d1.dn_loss_cls: 0.0982 d1.dn_loss_bbox: 0.1915 d1.dn_loss_iou: 0.2322 d2.dn_loss_cls: 0.0868 d2.dn_loss_bbox: 0.1682 d2.dn_loss_iou: 0.2113 d3.dn_loss_cls: 0.0794 d3.dn_loss_bbox: 0.1627 d3.dn_loss_iou: 0.2055 d4.dn_loss_cls: 0.0738 d4.dn_loss_bbox: 0.1630 d4.dn_loss_iou: 0.2047 d1.loss_lmm_region: 0.1054 loss_lmm_image: 0.6311 +2024/11/08 22:55:17 - mmengine - INFO - Iter(train) [141500/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:27:45 time: 1.0296 data_time: 0.0189 memory: 23452 grad_norm: 24.0691 loss: 9.6958 loss_cls: 0.3089 loss_bbox: 0.1714 loss_iou: 0.3094 d0.loss_cls: 0.3368 d0.loss_bbox: 0.1840 d0.loss_iou: 0.3289 d1.loss_cls: 0.3281 d1.loss_bbox: 0.1723 d1.loss_iou: 0.3117 d2.loss_cls: 0.3218 d2.loss_bbox: 0.1707 d2.loss_iou: 0.3103 d3.loss_cls: 0.3142 d3.loss_bbox: 0.1723 d3.loss_iou: 0.3101 d4.loss_cls: 0.3144 d4.loss_bbox: 0.1699 d4.loss_iou: 0.3083 enc_loss_cls: 0.3614 enc_loss_bbox: 0.1906 enc_loss_iou: 0.3411 dn_loss_cls: 0.0765 dn_loss_bbox: 0.1649 dn_loss_iou: 0.2239 d0.dn_loss_cls: 0.1518 d0.dn_loss_bbox: 0.2913 d0.dn_loss_iou: 0.3549 d1.dn_loss_cls: 0.0997 d1.dn_loss_bbox: 0.1893 d1.dn_loss_iou: 0.2498 d2.dn_loss_cls: 0.0854 d2.dn_loss_bbox: 0.1691 d2.dn_loss_iou: 0.2293 d3.dn_loss_cls: 0.0780 d3.dn_loss_bbox: 0.1656 d3.dn_loss_iou: 0.2252 d4.dn_loss_cls: 0.0761 d4.dn_loss_bbox: 0.1650 d4.dn_loss_iou: 0.2238 d1.loss_lmm_region: 0.1030 loss_lmm_image: 0.6368 +2024/11/08 22:57:01 - mmengine - INFO - Iter(train) [141600/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:26:01 time: 1.0439 data_time: 0.0190 memory: 23590 grad_norm: 21.0687 loss: 9.3197 loss_cls: 0.2900 loss_bbox: 0.1457 loss_iou: 0.2831 d0.loss_cls: 0.3182 d0.loss_bbox: 0.1709 d0.loss_iou: 0.3069 d1.loss_cls: 0.3040 d1.loss_bbox: 0.1626 d1.loss_iou: 0.2957 d2.loss_cls: 0.3000 d2.loss_bbox: 0.1528 d2.loss_iou: 0.2907 d3.loss_cls: 0.2955 d3.loss_bbox: 0.1487 d3.loss_iou: 0.2857 d4.loss_cls: 0.2921 d4.loss_bbox: 0.1467 d4.loss_iou: 0.2814 enc_loss_cls: 0.3470 enc_loss_bbox: 0.1740 enc_loss_iou: 0.3224 dn_loss_cls: 0.0760 dn_loss_bbox: 0.1682 dn_loss_iou: 0.2248 d0.dn_loss_cls: 0.1563 d0.dn_loss_bbox: 0.3087 d0.dn_loss_iou: 0.3668 d1.dn_loss_cls: 0.1032 d1.dn_loss_bbox: 0.1953 d1.dn_loss_iou: 0.2528 d2.dn_loss_cls: 0.0879 d2.dn_loss_bbox: 0.1743 d2.dn_loss_iou: 0.2311 d3.dn_loss_cls: 0.0804 d3.dn_loss_bbox: 0.1695 d3.dn_loss_iou: 0.2259 d4.dn_loss_cls: 0.0770 d4.dn_loss_bbox: 0.1682 d4.dn_loss_iou: 0.2248 d1.loss_lmm_region: 0.0938 loss_lmm_image: 0.6206 +2024/11/08 22:58:43 - mmengine - INFO - Iter(train) [141700/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:24:16 time: 1.0232 data_time: 0.0188 memory: 23234 grad_norm: 21.1933 loss: 7.8765 loss_cls: 0.2316 loss_bbox: 0.1185 loss_iou: 0.2075 d0.loss_cls: 0.2563 d0.loss_bbox: 0.1329 d0.loss_iou: 0.2246 d1.loss_cls: 0.2456 d1.loss_bbox: 0.1219 d1.loss_iou: 0.2139 d2.loss_cls: 0.2410 d2.loss_bbox: 0.1170 d2.loss_iou: 0.2074 d3.loss_cls: 0.2364 d3.loss_bbox: 0.1177 d3.loss_iou: 0.2067 d4.loss_cls: 0.2339 d4.loss_bbox: 0.1178 d4.loss_iou: 0.2073 enc_loss_cls: 0.2686 enc_loss_bbox: 0.1447 enc_loss_iou: 0.2446 dn_loss_cls: 0.0719 dn_loss_bbox: 0.1563 dn_loss_iou: 0.1969 d0.dn_loss_cls: 0.1445 d0.dn_loss_bbox: 0.3027 d0.dn_loss_iou: 0.3330 d1.dn_loss_cls: 0.0954 d1.dn_loss_bbox: 0.1964 d1.dn_loss_iou: 0.2289 d2.dn_loss_cls: 0.0818 d2.dn_loss_bbox: 0.1665 d2.dn_loss_iou: 0.2057 d3.dn_loss_cls: 0.0746 d3.dn_loss_bbox: 0.1568 d3.dn_loss_iou: 0.1980 d4.dn_loss_cls: 0.0719 d4.dn_loss_bbox: 0.1563 d4.dn_loss_iou: 0.1968 d1.loss_lmm_region: 0.1062 loss_lmm_image: 0.6399 +2024/11/08 23:00:26 - mmengine - INFO - Iter(train) [141800/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:22:32 time: 1.0198 data_time: 0.0189 memory: 23338 grad_norm: 17.9980 loss: 7.9111 loss_cls: 0.2411 loss_bbox: 0.1189 loss_iou: 0.2137 d0.loss_cls: 0.2743 d0.loss_bbox: 0.1276 d0.loss_iou: 0.2269 d1.loss_cls: 0.2624 d1.loss_bbox: 0.1205 d1.loss_iou: 0.2131 d2.loss_cls: 0.2555 d2.loss_bbox: 0.1188 d2.loss_iou: 0.2106 d3.loss_cls: 0.2496 d3.loss_bbox: 0.1191 d3.loss_iou: 0.2129 d4.loss_cls: 0.2442 d4.loss_bbox: 0.1176 d4.loss_iou: 0.2121 enc_loss_cls: 0.2847 enc_loss_bbox: 0.1494 enc_loss_iou: 0.2505 dn_loss_cls: 0.0620 dn_loss_bbox: 0.1502 dn_loss_iou: 0.1932 d0.dn_loss_cls: 0.1439 d0.dn_loss_bbox: 0.2911 d0.dn_loss_iou: 0.3326 d1.dn_loss_cls: 0.0905 d1.dn_loss_bbox: 0.1795 d1.dn_loss_iou: 0.2221 d2.dn_loss_cls: 0.0749 d2.dn_loss_bbox: 0.1569 d2.dn_loss_iou: 0.2007 d3.dn_loss_cls: 0.0670 d3.dn_loss_bbox: 0.1515 d3.dn_loss_iou: 0.1945 d4.dn_loss_cls: 0.0627 d4.dn_loss_bbox: 0.1504 d4.dn_loss_iou: 0.1932 d1.loss_lmm_region: 0.1060 loss_lmm_image: 0.6650 +2024/11/08 23:02:09 - mmengine - INFO - Iter(train) [141900/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:20:48 time: 1.0302 data_time: 0.0189 memory: 23264 grad_norm: 39.3189 loss: 9.3923 loss_cls: 0.2891 loss_bbox: 0.1510 loss_iou: 0.2891 d0.loss_cls: 0.3238 d0.loss_bbox: 0.1680 d0.loss_iou: 0.3072 d1.loss_cls: 0.3064 d1.loss_bbox: 0.1577 d1.loss_iou: 0.2980 d2.loss_cls: 0.3010 d2.loss_bbox: 0.1510 d2.loss_iou: 0.2910 d3.loss_cls: 0.2923 d3.loss_bbox: 0.1522 d3.loss_iou: 0.2918 d4.loss_cls: 0.2905 d4.loss_bbox: 0.1513 d4.loss_iou: 0.2881 enc_loss_cls: 0.3476 enc_loss_bbox: 0.1762 enc_loss_iou: 0.3207 dn_loss_cls: 0.0787 dn_loss_bbox: 0.1687 dn_loss_iou: 0.2281 d0.dn_loss_cls: 0.1696 d0.dn_loss_bbox: 0.3176 d0.dn_loss_iou: 0.3824 d1.dn_loss_cls: 0.1067 d1.dn_loss_bbox: 0.1992 d1.dn_loss_iou: 0.2587 d2.dn_loss_cls: 0.0895 d2.dn_loss_bbox: 0.1763 d2.dn_loss_iou: 0.2357 d3.dn_loss_cls: 0.0804 d3.dn_loss_bbox: 0.1689 d3.dn_loss_iou: 0.2288 d4.dn_loss_cls: 0.0789 d4.dn_loss_bbox: 0.1686 d4.dn_loss_iou: 0.2279 d1.loss_lmm_region: 0.0998 loss_lmm_image: 0.5836 +2024/11/08 23:03:51 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/08 23:03:51 - mmengine - INFO - Iter(train) [142000/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:19:03 time: 1.0193 data_time: 0.0189 memory: 24045 grad_norm: 26.9765 loss: 9.3234 loss_cls: 0.3002 loss_bbox: 0.1499 loss_iou: 0.2930 d0.loss_cls: 0.3440 d0.loss_bbox: 0.1587 d0.loss_iou: 0.3084 d1.loss_cls: 0.3254 d1.loss_bbox: 0.1519 d1.loss_iou: 0.2995 d2.loss_cls: 0.3137 d2.loss_bbox: 0.1503 d2.loss_iou: 0.2950 d3.loss_cls: 0.3042 d3.loss_bbox: 0.1517 d3.loss_iou: 0.2939 d4.loss_cls: 0.2997 d4.loss_bbox: 0.1517 d4.loss_iou: 0.2937 enc_loss_cls: 0.3578 enc_loss_bbox: 0.1729 enc_loss_iou: 0.3287 dn_loss_cls: 0.0674 dn_loss_bbox: 0.1546 dn_loss_iou: 0.2167 d0.dn_loss_cls: 0.1489 d0.dn_loss_bbox: 0.3065 d0.dn_loss_iou: 0.3658 d1.dn_loss_cls: 0.0966 d1.dn_loss_bbox: 0.1908 d1.dn_loss_iou: 0.2500 d2.dn_loss_cls: 0.0826 d2.dn_loss_bbox: 0.1623 d2.dn_loss_iou: 0.2256 d3.dn_loss_cls: 0.0725 d3.dn_loss_bbox: 0.1557 d3.dn_loss_iou: 0.2182 d4.dn_loss_cls: 0.0688 d4.dn_loss_bbox: 0.1544 d4.dn_loss_iou: 0.2168 d1.loss_lmm_region: 0.0893 loss_lmm_image: 0.6357 +2024/11/08 23:05:35 - mmengine - INFO - Iter(train) [142100/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:17:19 time: 1.0343 data_time: 0.0189 memory: 23876 grad_norm: 20.0184 loss: 8.9725 loss_cls: 0.2770 loss_bbox: 0.1375 loss_iou: 0.2533 d0.loss_cls: 0.3191 d0.loss_bbox: 0.1439 d0.loss_iou: 0.2639 d1.loss_cls: 0.2982 d1.loss_bbox: 0.1438 d1.loss_iou: 0.2607 d2.loss_cls: 0.2902 d2.loss_bbox: 0.1397 d2.loss_iou: 0.2564 d3.loss_cls: 0.2837 d3.loss_bbox: 0.1379 d3.loss_iou: 0.2539 d4.loss_cls: 0.2787 d4.loss_bbox: 0.1374 d4.loss_iou: 0.2533 enc_loss_cls: 0.3428 enc_loss_bbox: 0.1586 enc_loss_iou: 0.2811 dn_loss_cls: 0.0801 dn_loss_bbox: 0.1638 dn_loss_iou: 0.2171 d0.dn_loss_cls: 0.1649 d0.dn_loss_bbox: 0.3122 d0.dn_loss_iou: 0.3653 d1.dn_loss_cls: 0.1118 d1.dn_loss_bbox: 0.1948 d1.dn_loss_iou: 0.2470 d2.dn_loss_cls: 0.0971 d2.dn_loss_bbox: 0.1727 d2.dn_loss_iou: 0.2253 d3.dn_loss_cls: 0.0856 d3.dn_loss_bbox: 0.1653 d3.dn_loss_iou: 0.2183 d4.dn_loss_cls: 0.0812 d4.dn_loss_bbox: 0.1639 d4.dn_loss_iou: 0.2171 d1.loss_lmm_region: 0.1130 loss_lmm_image: 0.6648 +2024/11/08 23:07:17 - mmengine - INFO - Iter(train) [142200/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:15:34 time: 1.0254 data_time: 0.0191 memory: 23908 grad_norm: 20.1256 loss: 9.2441 loss_cls: 0.2836 loss_bbox: 0.1438 loss_iou: 0.2811 d0.loss_cls: 0.3217 d0.loss_bbox: 0.1550 d0.loss_iou: 0.2954 d1.loss_cls: 0.3016 d1.loss_bbox: 0.1475 d1.loss_iou: 0.2838 d2.loss_cls: 0.2956 d2.loss_bbox: 0.1462 d2.loss_iou: 0.2831 d3.loss_cls: 0.2872 d3.loss_bbox: 0.1469 d3.loss_iou: 0.2836 d4.loss_cls: 0.2850 d4.loss_bbox: 0.1437 d4.loss_iou: 0.2808 enc_loss_cls: 0.3409 enc_loss_bbox: 0.1702 enc_loss_iou: 0.3151 dn_loss_cls: 0.0667 dn_loss_bbox: 0.1737 dn_loss_iou: 0.2305 d0.dn_loss_cls: 0.1504 d0.dn_loss_bbox: 0.3074 d0.dn_loss_iou: 0.3714 d1.dn_loss_cls: 0.0950 d1.dn_loss_bbox: 0.1996 d1.dn_loss_iou: 0.2598 d2.dn_loss_cls: 0.0802 d2.dn_loss_bbox: 0.1798 d2.dn_loss_iou: 0.2379 d3.dn_loss_cls: 0.0721 d3.dn_loss_bbox: 0.1741 d3.dn_loss_iou: 0.2316 d4.dn_loss_cls: 0.0673 d4.dn_loss_bbox: 0.1736 d4.dn_loss_iou: 0.2303 d1.loss_lmm_region: 0.0971 loss_lmm_image: 0.6534 +2024/11/08 23:09:01 - mmengine - INFO - Iter(train) [142300/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:13:50 time: 1.0412 data_time: 0.0189 memory: 24281 grad_norm: 18.4127 loss: 9.1035 loss_cls: 0.2789 loss_bbox: 0.1478 loss_iou: 0.2459 d0.loss_cls: 0.3046 d0.loss_bbox: 0.1699 d0.loss_iou: 0.2662 d1.loss_cls: 0.2934 d1.loss_bbox: 0.1559 d1.loss_iou: 0.2518 d2.loss_cls: 0.2864 d2.loss_bbox: 0.1509 d2.loss_iou: 0.2492 d3.loss_cls: 0.2829 d3.loss_bbox: 0.1490 d3.loss_iou: 0.2468 d4.loss_cls: 0.2800 d4.loss_bbox: 0.1482 d4.loss_iou: 0.2452 enc_loss_cls: 0.3295 enc_loss_bbox: 0.1779 enc_loss_iou: 0.2798 dn_loss_cls: 0.0999 dn_loss_bbox: 0.1734 dn_loss_iou: 0.2151 d0.dn_loss_cls: 0.1891 d0.dn_loss_bbox: 0.3189 d0.dn_loss_iou: 0.3518 d1.dn_loss_cls: 0.1325 d1.dn_loss_bbox: 0.2017 d1.dn_loss_iou: 0.2432 d2.dn_loss_cls: 0.1160 d2.dn_loss_bbox: 0.1830 d2.dn_loss_iou: 0.2212 d3.dn_loss_cls: 0.1062 d3.dn_loss_bbox: 0.1755 d3.dn_loss_iou: 0.2163 d4.dn_loss_cls: 0.1019 d4.dn_loss_bbox: 0.1733 d4.dn_loss_iou: 0.2150 d1.loss_lmm_region: 0.1118 loss_lmm_image: 0.6173 +2024/11/08 23:10:44 - mmengine - INFO - Iter(train) [142400/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:12:06 time: 1.0325 data_time: 0.0188 memory: 23622 grad_norm: 18.3154 loss: 8.5200 loss_cls: 0.2730 loss_bbox: 0.1446 loss_iou: 0.2343 d0.loss_cls: 0.3045 d0.loss_bbox: 0.1565 d0.loss_iou: 0.2504 d1.loss_cls: 0.2907 d1.loss_bbox: 0.1468 d1.loss_iou: 0.2392 d2.loss_cls: 0.2885 d2.loss_bbox: 0.1408 d2.loss_iou: 0.2316 d3.loss_cls: 0.2806 d3.loss_bbox: 0.1434 d3.loss_iou: 0.2330 d4.loss_cls: 0.2745 d4.loss_bbox: 0.1449 d4.loss_iou: 0.2346 enc_loss_cls: 0.3182 enc_loss_bbox: 0.1737 enc_loss_iou: 0.2713 dn_loss_cls: 0.0799 dn_loss_bbox: 0.1535 dn_loss_iou: 0.1996 d0.dn_loss_cls: 0.1717 d0.dn_loss_bbox: 0.2797 d0.dn_loss_iou: 0.3391 d1.dn_loss_cls: 0.1161 d1.dn_loss_bbox: 0.1807 d1.dn_loss_iou: 0.2288 d2.dn_loss_cls: 0.0982 d2.dn_loss_bbox: 0.1607 d2.dn_loss_iou: 0.2069 d3.dn_loss_cls: 0.0868 d3.dn_loss_bbox: 0.1547 d3.dn_loss_iou: 0.2010 d4.dn_loss_cls: 0.0812 d4.dn_loss_bbox: 0.1536 d4.dn_loss_iou: 0.1997 d1.loss_lmm_region: 0.0959 loss_lmm_image: 0.5568 +2024/11/08 23:12:27 - mmengine - INFO - Iter(train) [142500/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:10:21 time: 1.0372 data_time: 0.0188 memory: 23785 grad_norm: 20.4555 loss: 8.9848 loss_cls: 0.2965 loss_bbox: 0.1402 loss_iou: 0.2741 d0.loss_cls: 0.3360 d0.loss_bbox: 0.1569 d0.loss_iou: 0.2896 d1.loss_cls: 0.3137 d1.loss_bbox: 0.1458 d1.loss_iou: 0.2785 d2.loss_cls: 0.3055 d2.loss_bbox: 0.1410 d2.loss_iou: 0.2759 d3.loss_cls: 0.3016 d3.loss_bbox: 0.1406 d3.loss_iou: 0.2747 d4.loss_cls: 0.2994 d4.loss_bbox: 0.1399 d4.loss_iou: 0.2737 enc_loss_cls: 0.3553 enc_loss_bbox: 0.1652 enc_loss_iou: 0.3077 dn_loss_cls: 0.0601 dn_loss_bbox: 0.1526 dn_loss_iou: 0.2125 d0.dn_loss_cls: 0.1566 d0.dn_loss_bbox: 0.2881 d0.dn_loss_iou: 0.3541 d1.dn_loss_cls: 0.0998 d1.dn_loss_bbox: 0.1826 d1.dn_loss_iou: 0.2448 d2.dn_loss_cls: 0.0813 d2.dn_loss_bbox: 0.1604 d2.dn_loss_iou: 0.2201 d3.dn_loss_cls: 0.0667 d3.dn_loss_bbox: 0.1544 d3.dn_loss_iou: 0.2141 d4.dn_loss_cls: 0.0607 d4.dn_loss_bbox: 0.1526 d4.dn_loss_iou: 0.2125 d1.loss_lmm_region: 0.1007 loss_lmm_image: 0.5983 +2024/11/08 23:14:09 - mmengine - INFO - Iter(train) [142600/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:08:37 time: 1.0234 data_time: 0.0189 memory: 23302 grad_norm: 20.7749 loss: 9.3436 loss_cls: 0.3039 loss_bbox: 0.1562 loss_iou: 0.3052 d0.loss_cls: 0.3406 d0.loss_bbox: 0.1715 d0.loss_iou: 0.3250 d1.loss_cls: 0.3181 d1.loss_bbox: 0.1654 d1.loss_iou: 0.3168 d2.loss_cls: 0.3111 d2.loss_bbox: 0.1565 d2.loss_iou: 0.3089 d3.loss_cls: 0.3069 d3.loss_bbox: 0.1554 d3.loss_iou: 0.3071 d4.loss_cls: 0.3046 d4.loss_bbox: 0.1556 d4.loss_iou: 0.3057 enc_loss_cls: 0.3614 enc_loss_bbox: 0.1865 enc_loss_iou: 0.3470 dn_loss_cls: 0.0618 dn_loss_bbox: 0.1442 dn_loss_iou: 0.2063 d0.dn_loss_cls: 0.1523 d0.dn_loss_bbox: 0.3041 d0.dn_loss_iou: 0.3519 d1.dn_loss_cls: 0.0910 d1.dn_loss_bbox: 0.1816 d1.dn_loss_iou: 0.2391 d2.dn_loss_cls: 0.0766 d2.dn_loss_bbox: 0.1567 d2.dn_loss_iou: 0.2166 d3.dn_loss_cls: 0.0674 d3.dn_loss_bbox: 0.1466 d3.dn_loss_iou: 0.2079 d4.dn_loss_cls: 0.0631 d4.dn_loss_bbox: 0.1442 d4.dn_loss_iou: 0.2062 d1.loss_lmm_region: 0.1130 loss_lmm_image: 0.6032 +2024/11/08 23:15:53 - mmengine - INFO - Iter(train) [142700/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:06:53 time: 1.0270 data_time: 0.0189 memory: 23347 grad_norm: 18.8683 loss: 9.2429 loss_cls: 0.2966 loss_bbox: 0.1513 loss_iou: 0.2832 d0.loss_cls: 0.3410 d0.loss_bbox: 0.1638 d0.loss_iou: 0.3053 d1.loss_cls: 0.3172 d1.loss_bbox: 0.1581 d1.loss_iou: 0.2916 d2.loss_cls: 0.3073 d2.loss_bbox: 0.1520 d2.loss_iou: 0.2830 d3.loss_cls: 0.3022 d3.loss_bbox: 0.1524 d3.loss_iou: 0.2843 d4.loss_cls: 0.2973 d4.loss_bbox: 0.1510 d4.loss_iou: 0.2833 enc_loss_cls: 0.3484 enc_loss_bbox: 0.1871 enc_loss_iou: 0.3355 dn_loss_cls: 0.0687 dn_loss_bbox: 0.1572 dn_loss_iou: 0.2106 d0.dn_loss_cls: 0.1498 d0.dn_loss_bbox: 0.3063 d0.dn_loss_iou: 0.3499 d1.dn_loss_cls: 0.0944 d1.dn_loss_bbox: 0.1917 d1.dn_loss_iou: 0.2410 d2.dn_loss_cls: 0.0786 d2.dn_loss_bbox: 0.1701 d2.dn_loss_iou: 0.2192 d3.dn_loss_cls: 0.0723 d3.dn_loss_bbox: 0.1591 d3.dn_loss_iou: 0.2118 d4.dn_loss_cls: 0.0689 d4.dn_loss_bbox: 0.1571 d4.dn_loss_iou: 0.2106 d1.loss_lmm_region: 0.0942 loss_lmm_image: 0.6393 +2024/11/08 23:17:36 - mmengine - INFO - Iter(train) [142800/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:05:08 time: 1.0229 data_time: 0.0188 memory: 22790 grad_norm: 20.1618 loss: 8.8335 loss_cls: 0.2730 loss_bbox: 0.1340 loss_iou: 0.2492 d0.loss_cls: 0.3155 d0.loss_bbox: 0.1463 d0.loss_iou: 0.2650 d1.loss_cls: 0.2935 d1.loss_bbox: 0.1358 d1.loss_iou: 0.2521 d2.loss_cls: 0.2819 d2.loss_bbox: 0.1343 d2.loss_iou: 0.2509 d3.loss_cls: 0.2771 d3.loss_bbox: 0.1341 d3.loss_iou: 0.2493 d4.loss_cls: 0.2720 d4.loss_bbox: 0.1345 d4.loss_iou: 0.2495 enc_loss_cls: 0.3294 enc_loss_bbox: 0.1583 enc_loss_iou: 0.2871 dn_loss_cls: 0.0682 dn_loss_bbox: 0.1666 dn_loss_iou: 0.2292 d0.dn_loss_cls: 0.1577 d0.dn_loss_bbox: 0.3216 d0.dn_loss_iou: 0.3779 d1.dn_loss_cls: 0.0993 d1.dn_loss_bbox: 0.2016 d1.dn_loss_iou: 0.2634 d2.dn_loss_cls: 0.0828 d2.dn_loss_bbox: 0.1776 d2.dn_loss_iou: 0.2386 d3.dn_loss_cls: 0.0732 d3.dn_loss_bbox: 0.1689 d3.dn_loss_iou: 0.2314 d4.dn_loss_cls: 0.0689 d4.dn_loss_bbox: 0.1665 d4.dn_loss_iou: 0.2292 d1.loss_lmm_region: 0.1284 loss_lmm_image: 0.5600 +2024/11/08 23:19:19 - mmengine - INFO - Iter(train) [142900/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:03:24 time: 1.0377 data_time: 0.0189 memory: 23481 grad_norm: 20.0192 loss: 8.2361 loss_cls: 0.2336 loss_bbox: 0.1286 loss_iou: 0.2288 d0.loss_cls: 0.2563 d0.loss_bbox: 0.1461 d0.loss_iou: 0.2457 d1.loss_cls: 0.2421 d1.loss_bbox: 0.1344 d1.loss_iou: 0.2348 d2.loss_cls: 0.2371 d2.loss_bbox: 0.1311 d2.loss_iou: 0.2324 d3.loss_cls: 0.2326 d3.loss_bbox: 0.1291 d3.loss_iou: 0.2298 d4.loss_cls: 0.2341 d4.loss_bbox: 0.1293 d4.loss_iou: 0.2300 enc_loss_cls: 0.2733 enc_loss_bbox: 0.1506 enc_loss_iou: 0.2563 dn_loss_cls: 0.0747 dn_loss_bbox: 0.1687 dn_loss_iou: 0.2030 d0.dn_loss_cls: 0.1566 d0.dn_loss_bbox: 0.3174 d0.dn_loss_iou: 0.3448 d1.dn_loss_cls: 0.1053 d1.dn_loss_bbox: 0.1987 d1.dn_loss_iou: 0.2317 d2.dn_loss_cls: 0.0911 d2.dn_loss_bbox: 0.1762 d2.dn_loss_iou: 0.2107 d3.dn_loss_cls: 0.0809 d3.dn_loss_bbox: 0.1698 d3.dn_loss_iou: 0.2040 d4.dn_loss_cls: 0.0752 d4.dn_loss_bbox: 0.1685 d4.dn_loss_iou: 0.2030 d1.loss_lmm_region: 0.0997 loss_lmm_image: 0.6399 +2024/11/08 23:21:02 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/08 23:21:02 - mmengine - INFO - Iter(train) [143000/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:01:40 time: 1.0304 data_time: 0.0188 memory: 23000 grad_norm: 18.5134 loss: 9.3129 loss_cls: 0.3053 loss_bbox: 0.1592 loss_iou: 0.2599 d0.loss_cls: 0.3413 d0.loss_bbox: 0.1658 d0.loss_iou: 0.2711 d1.loss_cls: 0.3217 d1.loss_bbox: 0.1594 d1.loss_iou: 0.2624 d2.loss_cls: 0.3130 d2.loss_bbox: 0.1620 d2.loss_iou: 0.2600 d3.loss_cls: 0.3112 d3.loss_bbox: 0.1568 d3.loss_iou: 0.2616 d4.loss_cls: 0.3076 d4.loss_bbox: 0.1601 d4.loss_iou: 0.2605 enc_loss_cls: 0.3636 enc_loss_bbox: 0.1732 enc_loss_iou: 0.2880 dn_loss_cls: 0.0980 dn_loss_bbox: 0.1675 dn_loss_iou: 0.2131 d0.dn_loss_cls: 0.1733 d0.dn_loss_bbox: 0.3030 d0.dn_loss_iou: 0.3477 d1.dn_loss_cls: 0.1277 d1.dn_loss_bbox: 0.1999 d1.dn_loss_iou: 0.2449 d2.dn_loss_cls: 0.1095 d2.dn_loss_bbox: 0.1757 d2.dn_loss_iou: 0.2216 d3.dn_loss_cls: 0.1041 d3.dn_loss_bbox: 0.1681 d3.dn_loss_iou: 0.2141 d4.dn_loss_cls: 0.1012 d4.dn_loss_bbox: 0.1676 d4.dn_loss_iou: 0.2131 d1.loss_lmm_region: 0.0865 loss_lmm_image: 0.6126 +2024/11/08 23:22:45 - mmengine - INFO - Iter(train) [143100/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:59:55 time: 1.0235 data_time: 0.0189 memory: 23978 grad_norm: 19.0453 loss: 8.8276 loss_cls: 0.3119 loss_bbox: 0.1296 loss_iou: 0.2568 d0.loss_cls: 0.3458 d0.loss_bbox: 0.1481 d0.loss_iou: 0.2744 d1.loss_cls: 0.3318 d1.loss_bbox: 0.1387 d1.loss_iou: 0.2635 d2.loss_cls: 0.3205 d2.loss_bbox: 0.1324 d2.loss_iou: 0.2609 d3.loss_cls: 0.3215 d3.loss_bbox: 0.1282 d3.loss_iou: 0.2559 d4.loss_cls: 0.3120 d4.loss_bbox: 0.1292 d4.loss_iou: 0.2572 enc_loss_cls: 0.3706 enc_loss_bbox: 0.1520 enc_loss_iou: 0.2890 dn_loss_cls: 0.0690 dn_loss_bbox: 0.1390 dn_loss_iou: 0.2076 d0.dn_loss_cls: 0.1527 d0.dn_loss_bbox: 0.2645 d0.dn_loss_iou: 0.3368 d1.dn_loss_cls: 0.1001 d1.dn_loss_bbox: 0.1654 d1.dn_loss_iou: 0.2357 d2.dn_loss_cls: 0.0840 d2.dn_loss_bbox: 0.1459 d2.dn_loss_iou: 0.2162 d3.dn_loss_cls: 0.0740 d3.dn_loss_bbox: 0.1395 d3.dn_loss_iou: 0.2090 d4.dn_loss_cls: 0.0696 d4.dn_loss_bbox: 0.1389 d4.dn_loss_iou: 0.2075 d1.loss_lmm_region: 0.0923 loss_lmm_image: 0.6500 +2024/11/08 23:24:28 - mmengine - INFO - Iter(train) [143200/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:58:11 time: 1.0181 data_time: 0.0189 memory: 24052 grad_norm: 19.2730 loss: 8.9823 loss_cls: 0.2791 loss_bbox: 0.1315 loss_iou: 0.2629 d0.loss_cls: 0.3069 d0.loss_bbox: 0.1427 d0.loss_iou: 0.2806 d1.loss_cls: 0.2931 d1.loss_bbox: 0.1344 d1.loss_iou: 0.2738 d2.loss_cls: 0.2848 d2.loss_bbox: 0.1335 d2.loss_iou: 0.2672 d3.loss_cls: 0.2807 d3.loss_bbox: 0.1318 d3.loss_iou: 0.2662 d4.loss_cls: 0.2795 d4.loss_bbox: 0.1306 d4.loss_iou: 0.2628 enc_loss_cls: 0.3322 enc_loss_bbox: 0.1513 enc_loss_iou: 0.2954 dn_loss_cls: 0.1067 dn_loss_bbox: 0.1466 dn_loss_iou: 0.2161 d0.dn_loss_cls: 0.1834 d0.dn_loss_bbox: 0.2828 d0.dn_loss_iou: 0.3593 d1.dn_loss_cls: 0.1388 d1.dn_loss_bbox: 0.1809 d1.dn_loss_iou: 0.2479 d2.dn_loss_cls: 0.1227 d2.dn_loss_bbox: 0.1551 d2.dn_loss_iou: 0.2245 d3.dn_loss_cls: 0.1126 d3.dn_loss_bbox: 0.1482 d3.dn_loss_iou: 0.2174 d4.dn_loss_cls: 0.1056 d4.dn_loss_bbox: 0.1466 d4.dn_loss_iou: 0.2161 d1.loss_lmm_region: 0.0930 loss_lmm_image: 0.6573 +2024/11/08 23:26:12 - mmengine - INFO - Iter(train) [143300/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:56:27 time: 1.0239 data_time: 0.0189 memory: 24095 grad_norm: 20.8321 loss: 9.1233 loss_cls: 0.2825 loss_bbox: 0.1435 loss_iou: 0.2617 d0.loss_cls: 0.3050 d0.loss_bbox: 0.1597 d0.loss_iou: 0.2802 d1.loss_cls: 0.2946 d1.loss_bbox: 0.1466 d1.loss_iou: 0.2658 d2.loss_cls: 0.2896 d2.loss_bbox: 0.1431 d2.loss_iou: 0.2642 d3.loss_cls: 0.2868 d3.loss_bbox: 0.1433 d3.loss_iou: 0.2611 d4.loss_cls: 0.2846 d4.loss_bbox: 0.1438 d4.loss_iou: 0.2619 enc_loss_cls: 0.3291 enc_loss_bbox: 0.1660 enc_loss_iou: 0.2923 dn_loss_cls: 0.0972 dn_loss_bbox: 0.1789 dn_loss_iou: 0.2157 d0.dn_loss_cls: 0.1641 d0.dn_loss_bbox: 0.3381 d0.dn_loss_iou: 0.3589 d1.dn_loss_cls: 0.1166 d1.dn_loss_bbox: 0.2126 d1.dn_loss_iou: 0.2461 d2.dn_loss_cls: 0.1048 d2.dn_loss_bbox: 0.1900 d2.dn_loss_iou: 0.2237 d3.dn_loss_cls: 0.0973 d3.dn_loss_bbox: 0.1799 d3.dn_loss_iou: 0.2165 d4.dn_loss_cls: 0.0972 d4.dn_loss_bbox: 0.1787 d4.dn_loss_iou: 0.2156 d1.loss_lmm_region: 0.1004 loss_lmm_image: 0.5854 +2024/11/08 23:27:54 - mmengine - INFO - Iter(train) [143400/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:54:42 time: 1.0363 data_time: 0.0190 memory: 23542 grad_norm: 20.0576 loss: 9.0142 loss_cls: 0.2684 loss_bbox: 0.1551 loss_iou: 0.2594 d0.loss_cls: 0.2939 d0.loss_bbox: 0.1732 d0.loss_iou: 0.2763 d1.loss_cls: 0.2755 d1.loss_bbox: 0.1631 d1.loss_iou: 0.2645 d2.loss_cls: 0.2782 d2.loss_bbox: 0.1560 d2.loss_iou: 0.2585 d3.loss_cls: 0.2779 d3.loss_bbox: 0.1522 d3.loss_iou: 0.2566 d4.loss_cls: 0.2711 d4.loss_bbox: 0.1531 d4.loss_iou: 0.2589 enc_loss_cls: 0.3112 enc_loss_bbox: 0.1796 enc_loss_iou: 0.2888 dn_loss_cls: 0.0645 dn_loss_bbox: 0.1911 dn_loss_iou: 0.2255 d0.dn_loss_cls: 0.1464 d0.dn_loss_bbox: 0.3432 d0.dn_loss_iou: 0.3685 d1.dn_loss_cls: 0.0914 d1.dn_loss_bbox: 0.2188 d1.dn_loss_iou: 0.2558 d2.dn_loss_cls: 0.0763 d2.dn_loss_bbox: 0.1987 d2.dn_loss_iou: 0.2333 d3.dn_loss_cls: 0.0699 d3.dn_loss_bbox: 0.1919 d3.dn_loss_iou: 0.2267 d4.dn_loss_cls: 0.0653 d4.dn_loss_bbox: 0.1912 d4.dn_loss_iou: 0.2256 d1.loss_lmm_region: 0.0957 loss_lmm_image: 0.5628 +2024/11/08 23:29:37 - mmengine - INFO - Iter(train) [143500/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:52:58 time: 1.0323 data_time: 0.0187 memory: 24021 grad_norm: 30.2339 loss: 8.0092 loss_cls: 0.2384 loss_bbox: 0.1136 loss_iou: 0.2184 d0.loss_cls: 0.2700 d0.loss_bbox: 0.1261 d0.loss_iou: 0.2315 d1.loss_cls: 0.2554 d1.loss_bbox: 0.1179 d1.loss_iou: 0.2226 d2.loss_cls: 0.2449 d2.loss_bbox: 0.1165 d2.loss_iou: 0.2199 d3.loss_cls: 0.2426 d3.loss_bbox: 0.1108 d3.loss_iou: 0.2160 d4.loss_cls: 0.2378 d4.loss_bbox: 0.1147 d4.loss_iou: 0.2193 enc_loss_cls: 0.2838 enc_loss_bbox: 0.1430 enc_loss_iou: 0.2537 dn_loss_cls: 0.0950 dn_loss_bbox: 0.1439 dn_loss_iou: 0.1941 d0.dn_loss_cls: 0.1647 d0.dn_loss_bbox: 0.2977 d0.dn_loss_iou: 0.3334 d1.dn_loss_cls: 0.1175 d1.dn_loss_bbox: 0.1784 d1.dn_loss_iou: 0.2228 d2.dn_loss_cls: 0.1001 d2.dn_loss_bbox: 0.1569 d2.dn_loss_iou: 0.2027 d3.dn_loss_cls: 0.0974 d3.dn_loss_bbox: 0.1454 d3.dn_loss_iou: 0.1954 d4.dn_loss_cls: 0.0938 d4.dn_loss_bbox: 0.1439 d4.dn_loss_iou: 0.1941 d1.loss_lmm_region: 0.0942 loss_lmm_image: 0.6410 +2024/11/08 23:31:20 - mmengine - INFO - Iter(train) [143600/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:51:14 time: 1.0320 data_time: 0.0189 memory: 23261 grad_norm: 21.8309 loss: 8.5475 loss_cls: 0.2918 loss_bbox: 0.1314 loss_iou: 0.2781 d0.loss_cls: 0.3248 d0.loss_bbox: 0.1431 d0.loss_iou: 0.2921 d1.loss_cls: 0.3119 d1.loss_bbox: 0.1334 d1.loss_iou: 0.2832 d2.loss_cls: 0.3004 d2.loss_bbox: 0.1317 d2.loss_iou: 0.2766 d3.loss_cls: 0.2925 d3.loss_bbox: 0.1348 d3.loss_iou: 0.2792 d4.loss_cls: 0.2929 d4.loss_bbox: 0.1314 d4.loss_iou: 0.2783 enc_loss_cls: 0.3435 enc_loss_bbox: 0.1505 enc_loss_iou: 0.3061 dn_loss_cls: 0.0724 dn_loss_bbox: 0.1213 dn_loss_iou: 0.1942 d0.dn_loss_cls: 0.1467 d0.dn_loss_bbox: 0.2333 d0.dn_loss_iou: 0.3186 d1.dn_loss_cls: 0.1011 d1.dn_loss_bbox: 0.1416 d1.dn_loss_iou: 0.2188 d2.dn_loss_cls: 0.0849 d2.dn_loss_bbox: 0.1256 d2.dn_loss_iou: 0.1992 d3.dn_loss_cls: 0.0756 d3.dn_loss_bbox: 0.1219 d3.dn_loss_iou: 0.1949 d4.dn_loss_cls: 0.0733 d4.dn_loss_bbox: 0.1212 d4.dn_loss_iou: 0.1940 d1.loss_lmm_region: 0.0923 loss_lmm_image: 0.6090 +2024/11/08 23:33:02 - mmengine - INFO - Iter(train) [143700/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:49:29 time: 1.0152 data_time: 0.0189 memory: 23203 grad_norm: 19.2617 loss: 8.1829 loss_cls: 0.2602 loss_bbox: 0.1251 loss_iou: 0.2137 d0.loss_cls: 0.2994 d0.loss_bbox: 0.1373 d0.loss_iou: 0.2353 d1.loss_cls: 0.2842 d1.loss_bbox: 0.1297 d1.loss_iou: 0.2206 d2.loss_cls: 0.2740 d2.loss_bbox: 0.1245 d2.loss_iou: 0.2157 d3.loss_cls: 0.2671 d3.loss_bbox: 0.1246 d3.loss_iou: 0.2147 d4.loss_cls: 0.2609 d4.loss_bbox: 0.1246 d4.loss_iou: 0.2129 enc_loss_cls: 0.3234 enc_loss_bbox: 0.1510 enc_loss_iou: 0.2549 dn_loss_cls: 0.0726 dn_loss_bbox: 0.1596 dn_loss_iou: 0.1873 d0.dn_loss_cls: 0.1545 d0.dn_loss_bbox: 0.2987 d0.dn_loss_iou: 0.3242 d1.dn_loss_cls: 0.0999 d1.dn_loss_bbox: 0.1874 d1.dn_loss_iou: 0.2178 d2.dn_loss_cls: 0.0856 d2.dn_loss_bbox: 0.1642 d2.dn_loss_iou: 0.1949 d3.dn_loss_cls: 0.0790 d3.dn_loss_bbox: 0.1600 d3.dn_loss_iou: 0.1885 d4.dn_loss_cls: 0.0738 d4.dn_loss_bbox: 0.1597 d4.dn_loss_iou: 0.1874 d1.loss_lmm_region: 0.0899 loss_lmm_image: 0.6442 +2024/11/08 23:34:45 - mmengine - INFO - Iter(train) [143800/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:47:45 time: 1.0247 data_time: 0.0190 memory: 22571 grad_norm: 19.6816 loss: 8.5929 loss_cls: 0.2432 loss_bbox: 0.1523 loss_iou: 0.2474 d0.loss_cls: 0.2794 d0.loss_bbox: 0.1702 d0.loss_iou: 0.2590 d1.loss_cls: 0.2607 d1.loss_bbox: 0.1601 d1.loss_iou: 0.2491 d2.loss_cls: 0.2477 d2.loss_bbox: 0.1576 d2.loss_iou: 0.2477 d3.loss_cls: 0.2489 d3.loss_bbox: 0.1536 d3.loss_iou: 0.2467 d4.loss_cls: 0.2426 d4.loss_bbox: 0.1548 d4.loss_iou: 0.2469 enc_loss_cls: 0.3000 enc_loss_bbox: 0.1780 enc_loss_iou: 0.2719 dn_loss_cls: 0.0746 dn_loss_bbox: 0.1743 dn_loss_iou: 0.2046 d0.dn_loss_cls: 0.1525 d0.dn_loss_bbox: 0.3091 d0.dn_loss_iou: 0.3380 d1.dn_loss_cls: 0.0994 d1.dn_loss_bbox: 0.2036 d1.dn_loss_iou: 0.2319 d2.dn_loss_cls: 0.0856 d2.dn_loss_bbox: 0.1808 d2.dn_loss_iou: 0.2119 d3.dn_loss_cls: 0.0804 d3.dn_loss_bbox: 0.1745 d3.dn_loss_iou: 0.2055 d4.dn_loss_cls: 0.0752 d4.dn_loss_bbox: 0.1742 d4.dn_loss_iou: 0.2045 d1.loss_lmm_region: 0.0867 loss_lmm_image: 0.6077 +2024/11/08 23:36:29 - mmengine - INFO - Iter(train) [143900/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:46:01 time: 1.0470 data_time: 0.0190 memory: 24288 grad_norm: 20.0697 loss: 8.8228 loss_cls: 0.3023 loss_bbox: 0.1400 loss_iou: 0.2626 d0.loss_cls: 0.3360 d0.loss_bbox: 0.1522 d0.loss_iou: 0.2792 d1.loss_cls: 0.3182 d1.loss_bbox: 0.1466 d1.loss_iou: 0.2704 d2.loss_cls: 0.3143 d2.loss_bbox: 0.1404 d2.loss_iou: 0.2660 d3.loss_cls: 0.3075 d3.loss_bbox: 0.1384 d3.loss_iou: 0.2641 d4.loss_cls: 0.3022 d4.loss_bbox: 0.1393 d4.loss_iou: 0.2635 enc_loss_cls: 0.3444 enc_loss_bbox: 0.1657 enc_loss_iou: 0.3006 dn_loss_cls: 0.0890 dn_loss_bbox: 0.1386 dn_loss_iou: 0.1972 d0.dn_loss_cls: 0.1546 d0.dn_loss_bbox: 0.2577 d0.dn_loss_iou: 0.3239 d1.dn_loss_cls: 0.1082 d1.dn_loss_bbox: 0.1638 d1.dn_loss_iou: 0.2207 d2.dn_loss_cls: 0.0977 d2.dn_loss_bbox: 0.1452 d2.dn_loss_iou: 0.2033 d3.dn_loss_cls: 0.0923 d3.dn_loss_bbox: 0.1400 d3.dn_loss_iou: 0.1981 d4.dn_loss_cls: 0.0879 d4.dn_loss_bbox: 0.1385 d4.dn_loss_iou: 0.1972 d1.loss_lmm_region: 0.0975 loss_lmm_image: 0.6173 +2024/11/08 23:38:13 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/08 23:38:13 - mmengine - INFO - Iter(train) [144000/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:44:16 time: 1.0232 data_time: 0.0188 memory: 23482 grad_norm: 20.1809 loss: 9.3970 loss_cls: 0.2842 loss_bbox: 0.1622 loss_iou: 0.2951 d0.loss_cls: 0.3229 d0.loss_bbox: 0.1720 d0.loss_iou: 0.3056 d1.loss_cls: 0.3035 d1.loss_bbox: 0.1634 d1.loss_iou: 0.2956 d2.loss_cls: 0.2925 d2.loss_bbox: 0.1618 d2.loss_iou: 0.2928 d3.loss_cls: 0.2873 d3.loss_bbox: 0.1634 d3.loss_iou: 0.2920 d4.loss_cls: 0.2852 d4.loss_bbox: 0.1624 d4.loss_iou: 0.2940 enc_loss_cls: 0.3421 enc_loss_bbox: 0.1820 enc_loss_iou: 0.3207 dn_loss_cls: 0.0732 dn_loss_bbox: 0.1750 dn_loss_iou: 0.2211 d0.dn_loss_cls: 0.1550 d0.dn_loss_bbox: 0.3097 d0.dn_loss_iou: 0.3624 d1.dn_loss_cls: 0.1036 d1.dn_loss_bbox: 0.2035 d1.dn_loss_iou: 0.2520 d2.dn_loss_cls: 0.0876 d2.dn_loss_bbox: 0.1832 d2.dn_loss_iou: 0.2288 d3.dn_loss_cls: 0.0777 d3.dn_loss_bbox: 0.1750 d3.dn_loss_iou: 0.2223 d4.dn_loss_cls: 0.0737 d4.dn_loss_bbox: 0.1750 d4.dn_loss_iou: 0.2211 d1.loss_lmm_region: 0.1001 loss_lmm_image: 0.6167 +2024/11/08 23:39:56 - mmengine - INFO - Iter(train) [144100/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:42:32 time: 1.0290 data_time: 0.0190 memory: 23899 grad_norm: 19.5275 loss: 9.0054 loss_cls: 0.2817 loss_bbox: 0.1439 loss_iou: 0.2424 d0.loss_cls: 0.3123 d0.loss_bbox: 0.1562 d0.loss_iou: 0.2607 d1.loss_cls: 0.2954 d1.loss_bbox: 0.1476 d1.loss_iou: 0.2510 d2.loss_cls: 0.2927 d2.loss_bbox: 0.1431 d2.loss_iou: 0.2449 d3.loss_cls: 0.2863 d3.loss_bbox: 0.1442 d3.loss_iou: 0.2440 d4.loss_cls: 0.2833 d4.loss_bbox: 0.1435 d4.loss_iou: 0.2425 enc_loss_cls: 0.3405 enc_loss_bbox: 0.1709 enc_loss_iou: 0.2809 dn_loss_cls: 0.0772 dn_loss_bbox: 0.1685 dn_loss_iou: 0.2194 d0.dn_loss_cls: 0.1689 d0.dn_loss_bbox: 0.3320 d0.dn_loss_iou: 0.3724 d1.dn_loss_cls: 0.1123 d1.dn_loss_bbox: 0.2033 d1.dn_loss_iou: 0.2538 d2.dn_loss_cls: 0.0942 d2.dn_loss_bbox: 0.1776 d2.dn_loss_iou: 0.2292 d3.dn_loss_cls: 0.0827 d3.dn_loss_bbox: 0.1706 d3.dn_loss_iou: 0.2211 d4.dn_loss_cls: 0.0786 d4.dn_loss_bbox: 0.1686 d4.dn_loss_iou: 0.2195 d1.loss_lmm_region: 0.0984 loss_lmm_image: 0.6490 +2024/11/08 23:41:38 - mmengine - INFO - Iter(train) [144200/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:40:48 time: 1.0204 data_time: 0.0188 memory: 23199 grad_norm: 17.7793 loss: 8.9351 loss_cls: 0.2677 loss_bbox: 0.1439 loss_iou: 0.2643 d0.loss_cls: 0.3040 d0.loss_bbox: 0.1539 d0.loss_iou: 0.2728 d1.loss_cls: 0.2881 d1.loss_bbox: 0.1459 d1.loss_iou: 0.2673 d2.loss_cls: 0.2749 d2.loss_bbox: 0.1461 d2.loss_iou: 0.2675 d3.loss_cls: 0.2756 d3.loss_bbox: 0.1415 d3.loss_iou: 0.2609 d4.loss_cls: 0.2682 d4.loss_bbox: 0.1435 d4.loss_iou: 0.2641 enc_loss_cls: 0.3208 enc_loss_bbox: 0.1587 enc_loss_iou: 0.2885 dn_loss_cls: 0.0762 dn_loss_bbox: 0.1634 dn_loss_iou: 0.2200 d0.dn_loss_cls: 0.1785 d0.dn_loss_bbox: 0.3038 d0.dn_loss_iou: 0.3615 d1.dn_loss_cls: 0.1164 d1.dn_loss_bbox: 0.1884 d1.dn_loss_iou: 0.2451 d2.dn_loss_cls: 0.0960 d2.dn_loss_bbox: 0.1713 d2.dn_loss_iou: 0.2275 d3.dn_loss_cls: 0.0830 d3.dn_loss_bbox: 0.1636 d3.dn_loss_iou: 0.2207 d4.dn_loss_cls: 0.0779 d4.dn_loss_bbox: 0.1633 d4.dn_loss_iou: 0.2199 d1.loss_lmm_region: 0.0942 loss_lmm_image: 0.6462 +2024/11/08 23:43:21 - mmengine - INFO - Iter(train) [144300/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:39:03 time: 1.0336 data_time: 0.0189 memory: 23500 grad_norm: 19.7204 loss: 9.1397 loss_cls: 0.3042 loss_bbox: 0.1391 loss_iou: 0.2887 d0.loss_cls: 0.3379 d0.loss_bbox: 0.1546 d0.loss_iou: 0.3074 d1.loss_cls: 0.3230 d1.loss_bbox: 0.1451 d1.loss_iou: 0.2987 d2.loss_cls: 0.3142 d2.loss_bbox: 0.1413 d2.loss_iou: 0.2950 d3.loss_cls: 0.3095 d3.loss_bbox: 0.1388 d3.loss_iou: 0.2911 d4.loss_cls: 0.3050 d4.loss_bbox: 0.1396 d4.loss_iou: 0.2893 enc_loss_cls: 0.3582 enc_loss_bbox: 0.1621 enc_loss_iou: 0.3249 dn_loss_cls: 0.0701 dn_loss_bbox: 0.1401 dn_loss_iou: 0.2123 d0.dn_loss_cls: 0.1603 d0.dn_loss_bbox: 0.2771 d0.dn_loss_iou: 0.3473 d1.dn_loss_cls: 0.1058 d1.dn_loss_bbox: 0.1713 d1.dn_loss_iou: 0.2410 d2.dn_loss_cls: 0.0875 d2.dn_loss_bbox: 0.1476 d2.dn_loss_iou: 0.2189 d3.dn_loss_cls: 0.0774 d3.dn_loss_bbox: 0.1413 d3.dn_loss_iou: 0.2133 d4.dn_loss_cls: 0.0704 d4.dn_loss_bbox: 0.1403 d4.dn_loss_iou: 0.2122 d1.loss_lmm_region: 0.0844 loss_lmm_image: 0.6534 +2024/11/08 23:45:04 - mmengine - INFO - Iter(train) [144400/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:37:19 time: 1.0390 data_time: 0.0189 memory: 24887 grad_norm: 18.5965 loss: 9.1490 loss_cls: 0.2891 loss_bbox: 0.1516 loss_iou: 0.2718 d0.loss_cls: 0.3265 d0.loss_bbox: 0.1646 d0.loss_iou: 0.2911 d1.loss_cls: 0.3100 d1.loss_bbox: 0.1595 d1.loss_iou: 0.2782 d2.loss_cls: 0.2994 d2.loss_bbox: 0.1545 d2.loss_iou: 0.2702 d3.loss_cls: 0.2955 d3.loss_bbox: 0.1530 d3.loss_iou: 0.2685 d4.loss_cls: 0.2890 d4.loss_bbox: 0.1514 d4.loss_iou: 0.2712 enc_loss_cls: 0.3544 enc_loss_bbox: 0.1733 enc_loss_iou: 0.3040 dn_loss_cls: 0.0841 dn_loss_bbox: 0.1536 dn_loss_iou: 0.2135 d0.dn_loss_cls: 0.1667 d0.dn_loss_bbox: 0.2885 d0.dn_loss_iou: 0.3503 d1.dn_loss_cls: 0.1147 d1.dn_loss_bbox: 0.1871 d1.dn_loss_iou: 0.2452 d2.dn_loss_cls: 0.0965 d2.dn_loss_bbox: 0.1637 d2.dn_loss_iou: 0.2225 d3.dn_loss_cls: 0.0891 d3.dn_loss_bbox: 0.1554 d3.dn_loss_iou: 0.2149 d4.dn_loss_cls: 0.0848 d4.dn_loss_bbox: 0.1537 d4.dn_loss_iou: 0.2135 d1.loss_lmm_region: 0.1019 loss_lmm_image: 0.6224 +2024/11/08 23:46:47 - mmengine - INFO - Iter(train) [144500/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:35:35 time: 1.0179 data_time: 0.0191 memory: 23121 grad_norm: 20.7718 loss: 8.6088 loss_cls: 0.2411 loss_bbox: 0.1446 loss_iou: 0.2190 d0.loss_cls: 0.2739 d0.loss_bbox: 0.1574 d0.loss_iou: 0.2360 d1.loss_cls: 0.2581 d1.loss_bbox: 0.1505 d1.loss_iou: 0.2237 d2.loss_cls: 0.2505 d2.loss_bbox: 0.1464 d2.loss_iou: 0.2171 d3.loss_cls: 0.2447 d3.loss_bbox: 0.1457 d3.loss_iou: 0.2198 d4.loss_cls: 0.2424 d4.loss_bbox: 0.1440 d4.loss_iou: 0.2188 enc_loss_cls: 0.2941 enc_loss_bbox: 0.1673 enc_loss_iou: 0.2459 dn_loss_cls: 0.0791 dn_loss_bbox: 0.1916 dn_loss_iou: 0.2199 d0.dn_loss_cls: 0.1746 d0.dn_loss_bbox: 0.3731 d0.dn_loss_iou: 0.3796 d1.dn_loss_cls: 0.1129 d1.dn_loss_bbox: 0.2315 d1.dn_loss_iou: 0.2548 d2.dn_loss_cls: 0.0953 d2.dn_loss_bbox: 0.2001 d2.dn_loss_iou: 0.2293 d3.dn_loss_cls: 0.0847 d3.dn_loss_bbox: 0.1931 d3.dn_loss_iou: 0.2215 d4.dn_loss_cls: 0.0802 d4.dn_loss_bbox: 0.1917 d4.dn_loss_iou: 0.2199 d1.loss_lmm_region: 0.1082 loss_lmm_image: 0.5266 +2024/11/08 23:48:30 - mmengine - INFO - Iter(train) [144600/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:33:50 time: 1.0222 data_time: 0.0188 memory: 24169 grad_norm: 21.1631 loss: 8.5828 loss_cls: 0.2667 loss_bbox: 0.1421 loss_iou: 0.2596 d0.loss_cls: 0.2958 d0.loss_bbox: 0.1544 d0.loss_iou: 0.2719 d1.loss_cls: 0.2834 d1.loss_bbox: 0.1448 d1.loss_iou: 0.2618 d2.loss_cls: 0.2744 d2.loss_bbox: 0.1448 d2.loss_iou: 0.2612 d3.loss_cls: 0.2739 d3.loss_bbox: 0.1436 d3.loss_iou: 0.2606 d4.loss_cls: 0.2673 d4.loss_bbox: 0.1424 d4.loss_iou: 0.2602 enc_loss_cls: 0.3135 enc_loss_bbox: 0.1647 enc_loss_iou: 0.2899 dn_loss_cls: 0.0638 dn_loss_bbox: 0.1507 dn_loss_iou: 0.2000 d0.dn_loss_cls: 0.1459 d0.dn_loss_bbox: 0.2881 d0.dn_loss_iou: 0.3369 d1.dn_loss_cls: 0.0896 d1.dn_loss_bbox: 0.1839 d1.dn_loss_iou: 0.2309 d2.dn_loss_cls: 0.0739 d2.dn_loss_bbox: 0.1616 d2.dn_loss_iou: 0.2093 d3.dn_loss_cls: 0.0691 d3.dn_loss_bbox: 0.1526 d3.dn_loss_iou: 0.2013 d4.dn_loss_cls: 0.0648 d4.dn_loss_bbox: 0.1508 d4.dn_loss_iou: 0.2004 d1.loss_lmm_region: 0.1001 loss_lmm_image: 0.6321 +2024/11/08 23:50:13 - mmengine - INFO - Iter(train) [144700/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:32:06 time: 1.0175 data_time: 0.0190 memory: 23634 grad_norm: 18.8681 loss: 7.8577 loss_cls: 0.2392 loss_bbox: 0.1064 loss_iou: 0.2191 d0.loss_cls: 0.2628 d0.loss_bbox: 0.1244 d0.loss_iou: 0.2414 d1.loss_cls: 0.2516 d1.loss_bbox: 0.1114 d1.loss_iou: 0.2268 d2.loss_cls: 0.2419 d2.loss_bbox: 0.1094 d2.loss_iou: 0.2252 d3.loss_cls: 0.2383 d3.loss_bbox: 0.1089 d3.loss_iou: 0.2236 d4.loss_cls: 0.2391 d4.loss_bbox: 0.1075 d4.loss_iou: 0.2215 enc_loss_cls: 0.2788 enc_loss_bbox: 0.1406 enc_loss_iou: 0.2626 dn_loss_cls: 0.0644 dn_loss_bbox: 0.1401 dn_loss_iou: 0.2044 d0.dn_loss_cls: 0.1360 d0.dn_loss_bbox: 0.2779 d0.dn_loss_iou: 0.3450 d1.dn_loss_cls: 0.0866 d1.dn_loss_bbox: 0.1770 d1.dn_loss_iou: 0.2386 d2.dn_loss_cls: 0.0734 d2.dn_loss_bbox: 0.1502 d2.dn_loss_iou: 0.2134 d3.dn_loss_cls: 0.0678 d3.dn_loss_bbox: 0.1415 d3.dn_loss_iou: 0.2061 d4.dn_loss_cls: 0.0651 d4.dn_loss_bbox: 0.1399 d4.dn_loss_iou: 0.2043 d1.loss_lmm_region: 0.0897 loss_lmm_image: 0.6558 +2024/11/08 23:51:56 - mmengine - INFO - Iter(train) [144800/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:30:22 time: 1.0310 data_time: 0.0189 memory: 23450 grad_norm: 19.0720 loss: 8.0946 loss_cls: 0.2480 loss_bbox: 0.1209 loss_iou: 0.2236 d0.loss_cls: 0.2804 d0.loss_bbox: 0.1335 d0.loss_iou: 0.2411 d1.loss_cls: 0.2623 d1.loss_bbox: 0.1239 d1.loss_iou: 0.2300 d2.loss_cls: 0.2566 d2.loss_bbox: 0.1195 d2.loss_iou: 0.2238 d3.loss_cls: 0.2513 d3.loss_bbox: 0.1209 d3.loss_iou: 0.2231 d4.loss_cls: 0.2491 d4.loss_bbox: 0.1204 d4.loss_iou: 0.2233 enc_loss_cls: 0.2921 enc_loss_bbox: 0.1460 enc_loss_iou: 0.2540 dn_loss_cls: 0.0701 dn_loss_bbox: 0.1565 dn_loss_iou: 0.1939 d0.dn_loss_cls: 0.1468 d0.dn_loss_bbox: 0.3097 d0.dn_loss_iou: 0.3381 d1.dn_loss_cls: 0.0935 d1.dn_loss_bbox: 0.1907 d1.dn_loss_iou: 0.2248 d2.dn_loss_cls: 0.0809 d2.dn_loss_bbox: 0.1668 d2.dn_loss_iou: 0.2023 d3.dn_loss_cls: 0.0722 d3.dn_loss_bbox: 0.1577 d3.dn_loss_iou: 0.1951 d4.dn_loss_cls: 0.0699 d4.dn_loss_bbox: 0.1567 d4.dn_loss_iou: 0.1939 d1.loss_lmm_region: 0.0960 loss_lmm_image: 0.6352 +2024/11/08 23:53:38 - mmengine - INFO - Iter(train) [144900/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:28:37 time: 1.0222 data_time: 0.0189 memory: 22986 grad_norm: 18.3997 loss: 9.2822 loss_cls: 0.3027 loss_bbox: 0.1529 loss_iou: 0.2820 d0.loss_cls: 0.3253 d0.loss_bbox: 0.1639 d0.loss_iou: 0.2976 d1.loss_cls: 0.3079 d1.loss_bbox: 0.1555 d1.loss_iou: 0.2908 d2.loss_cls: 0.3048 d2.loss_bbox: 0.1512 d2.loss_iou: 0.2845 d3.loss_cls: 0.3060 d3.loss_bbox: 0.1520 d3.loss_iou: 0.2825 d4.loss_cls: 0.3033 d4.loss_bbox: 0.1531 d4.loss_iou: 0.2835 enc_loss_cls: 0.3449 enc_loss_bbox: 0.1728 enc_loss_iou: 0.3154 dn_loss_cls: 0.0721 dn_loss_bbox: 0.1535 dn_loss_iou: 0.2256 d0.dn_loss_cls: 0.1593 d0.dn_loss_bbox: 0.3020 d0.dn_loss_iou: 0.3805 d1.dn_loss_cls: 0.1028 d1.dn_loss_bbox: 0.1831 d1.dn_loss_iou: 0.2575 d2.dn_loss_cls: 0.0870 d2.dn_loss_bbox: 0.1618 d2.dn_loss_iou: 0.2344 d3.dn_loss_cls: 0.0785 d3.dn_loss_bbox: 0.1550 d3.dn_loss_iou: 0.2276 d4.dn_loss_cls: 0.0734 d4.dn_loss_bbox: 0.1535 d4.dn_loss_iou: 0.2257 d1.loss_lmm_region: 0.1006 loss_lmm_image: 0.6153 +2024/11/08 23:55:22 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/08 23:55:22 - mmengine - INFO - Iter(train) [145000/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:26:53 time: 1.0448 data_time: 0.0190 memory: 23826 grad_norm: 18.9588 loss: 9.5969 loss_cls: 0.2969 loss_bbox: 0.1594 loss_iou: 0.3018 d0.loss_cls: 0.3319 d0.loss_bbox: 0.1703 d0.loss_iou: 0.3185 d1.loss_cls: 0.3185 d1.loss_bbox: 0.1620 d1.loss_iou: 0.3076 d2.loss_cls: 0.3107 d2.loss_bbox: 0.1574 d2.loss_iou: 0.3015 d3.loss_cls: 0.3036 d3.loss_bbox: 0.1583 d3.loss_iou: 0.3013 d4.loss_cls: 0.2985 d4.loss_bbox: 0.1596 d4.loss_iou: 0.3024 enc_loss_cls: 0.3527 enc_loss_bbox: 0.1832 enc_loss_iou: 0.3349 dn_loss_cls: 0.0763 dn_loss_bbox: 0.1621 dn_loss_iou: 0.2294 d0.dn_loss_cls: 0.1699 d0.dn_loss_bbox: 0.3113 d0.dn_loss_iou: 0.3795 d1.dn_loss_cls: 0.1095 d1.dn_loss_bbox: 0.1948 d1.dn_loss_iou: 0.2612 d2.dn_loss_cls: 0.0896 d2.dn_loss_bbox: 0.1697 d2.dn_loss_iou: 0.2370 d3.dn_loss_cls: 0.0816 d3.dn_loss_bbox: 0.1623 d3.dn_loss_iou: 0.2305 d4.dn_loss_cls: 0.0762 d4.dn_loss_bbox: 0.1620 d4.dn_loss_iou: 0.2293 d1.loss_lmm_region: 0.0964 loss_lmm_image: 0.6372 +2024/11/08 23:57:06 - mmengine - INFO - Iter(train) [145100/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:25:09 time: 1.0419 data_time: 0.0189 memory: 24084 grad_norm: 22.0161 loss: 8.8958 loss_cls: 0.2865 loss_bbox: 0.1459 loss_iou: 0.2613 d0.loss_cls: 0.3144 d0.loss_bbox: 0.1586 d0.loss_iou: 0.2830 d1.loss_cls: 0.3064 d1.loss_bbox: 0.1453 d1.loss_iou: 0.2640 d2.loss_cls: 0.2943 d2.loss_bbox: 0.1424 d2.loss_iou: 0.2609 d3.loss_cls: 0.2920 d3.loss_bbox: 0.1426 d3.loss_iou: 0.2626 d4.loss_cls: 0.2888 d4.loss_bbox: 0.1452 d4.loss_iou: 0.2624 enc_loss_cls: 0.3448 enc_loss_bbox: 0.1647 enc_loss_iou: 0.2955 dn_loss_cls: 0.0754 dn_loss_bbox: 0.1460 dn_loss_iou: 0.2117 d0.dn_loss_cls: 0.1719 d0.dn_loss_bbox: 0.2841 d0.dn_loss_iou: 0.3477 d1.dn_loss_cls: 0.1124 d1.dn_loss_bbox: 0.1751 d1.dn_loss_iou: 0.2413 d2.dn_loss_cls: 0.0932 d2.dn_loss_bbox: 0.1556 d2.dn_loss_iou: 0.2203 d3.dn_loss_cls: 0.0803 d3.dn_loss_bbox: 0.1465 d3.dn_loss_iou: 0.2125 d4.dn_loss_cls: 0.0759 d4.dn_loss_bbox: 0.1460 d4.dn_loss_iou: 0.2118 d1.loss_lmm_region: 0.1020 loss_lmm_image: 0.6245 +2024/11/08 23:58:49 - mmengine - INFO - Iter(train) [145200/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:23:24 time: 1.0215 data_time: 0.0193 memory: 24265 grad_norm: 18.2371 loss: 8.5360 loss_cls: 0.2543 loss_bbox: 0.1401 loss_iou: 0.2289 d0.loss_cls: 0.2814 d0.loss_bbox: 0.1604 d0.loss_iou: 0.2486 d1.loss_cls: 0.2697 d1.loss_bbox: 0.1452 d1.loss_iou: 0.2328 d2.loss_cls: 0.2632 d2.loss_bbox: 0.1399 d2.loss_iou: 0.2288 d3.loss_cls: 0.2571 d3.loss_bbox: 0.1402 d3.loss_iou: 0.2305 d4.loss_cls: 0.2551 d4.loss_bbox: 0.1399 d4.loss_iou: 0.2295 enc_loss_cls: 0.3018 enc_loss_bbox: 0.1616 enc_loss_iou: 0.2598 dn_loss_cls: 0.0725 dn_loss_bbox: 0.1748 dn_loss_iou: 0.2127 d0.dn_loss_cls: 0.1580 d0.dn_loss_bbox: 0.3199 d0.dn_loss_iou: 0.3536 d1.dn_loss_cls: 0.1038 d1.dn_loss_bbox: 0.2089 d1.dn_loss_iou: 0.2437 d2.dn_loss_cls: 0.0870 d2.dn_loss_bbox: 0.1828 d2.dn_loss_iou: 0.2208 d3.dn_loss_cls: 0.0775 d3.dn_loss_bbox: 0.1750 d3.dn_loss_iou: 0.2136 d4.dn_loss_cls: 0.0724 d4.dn_loss_bbox: 0.1746 d4.dn_loss_iou: 0.2127 d1.loss_lmm_region: 0.0843 loss_lmm_image: 0.6186 +2024/11/09 00:00:32 - mmengine - INFO - Iter(train) [145300/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:21:40 time: 1.0343 data_time: 0.0190 memory: 23450 grad_norm: 21.3616 loss: 8.8817 loss_cls: 0.2751 loss_bbox: 0.1315 loss_iou: 0.2488 d0.loss_cls: 0.3085 d0.loss_bbox: 0.1467 d0.loss_iou: 0.2678 d1.loss_cls: 0.2925 d1.loss_bbox: 0.1383 d1.loss_iou: 0.2561 d2.loss_cls: 0.2847 d2.loss_bbox: 0.1353 d2.loss_iou: 0.2528 d3.loss_cls: 0.2821 d3.loss_bbox: 0.1321 d3.loss_iou: 0.2502 d4.loss_cls: 0.2768 d4.loss_bbox: 0.1313 d4.loss_iou: 0.2489 enc_loss_cls: 0.3261 enc_loss_bbox: 0.1634 enc_loss_iou: 0.2900 dn_loss_cls: 0.0842 dn_loss_bbox: 0.1712 dn_loss_iou: 0.2180 d0.dn_loss_cls: 0.1692 d0.dn_loss_bbox: 0.3199 d0.dn_loss_iou: 0.3623 d1.dn_loss_cls: 0.1138 d1.dn_loss_bbox: 0.2051 d1.dn_loss_iou: 0.2498 d2.dn_loss_cls: 0.0952 d2.dn_loss_bbox: 0.1778 d2.dn_loss_iou: 0.2251 d3.dn_loss_cls: 0.0884 d3.dn_loss_bbox: 0.1723 d3.dn_loss_iou: 0.2197 d4.dn_loss_cls: 0.0854 d4.dn_loss_bbox: 0.1713 d4.dn_loss_iou: 0.2181 d1.loss_lmm_region: 0.0980 loss_lmm_image: 0.5977 +2024/11/09 00:02:15 - mmengine - INFO - Iter(train) [145400/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:19:56 time: 1.0272 data_time: 0.0190 memory: 23512 grad_norm: 20.5647 loss: 8.4259 loss_cls: 0.2536 loss_bbox: 0.1260 loss_iou: 0.2460 d0.loss_cls: 0.2857 d0.loss_bbox: 0.1407 d0.loss_iou: 0.2600 d1.loss_cls: 0.2713 d1.loss_bbox: 0.1309 d1.loss_iou: 0.2514 d2.loss_cls: 0.2592 d2.loss_bbox: 0.1293 d2.loss_iou: 0.2501 d3.loss_cls: 0.2563 d3.loss_bbox: 0.1276 d3.loss_iou: 0.2483 d4.loss_cls: 0.2547 d4.loss_bbox: 0.1259 d4.loss_iou: 0.2458 enc_loss_cls: 0.3113 enc_loss_bbox: 0.1518 enc_loss_iou: 0.2774 dn_loss_cls: 0.0670 dn_loss_bbox: 0.1499 dn_loss_iou: 0.2103 d0.dn_loss_cls: 0.1533 d0.dn_loss_bbox: 0.2983 d0.dn_loss_iou: 0.3498 d1.dn_loss_cls: 0.0975 d1.dn_loss_bbox: 0.1889 d1.dn_loss_iou: 0.2421 d2.dn_loss_cls: 0.0812 d2.dn_loss_bbox: 0.1611 d2.dn_loss_iou: 0.2188 d3.dn_loss_cls: 0.0723 d3.dn_loss_bbox: 0.1507 d3.dn_loss_iou: 0.2110 d4.dn_loss_cls: 0.0676 d4.dn_loss_bbox: 0.1499 d4.dn_loss_iou: 0.2103 d1.loss_lmm_region: 0.0946 loss_lmm_image: 0.6476 +2024/11/09 00:04:00 - mmengine - INFO - Iter(train) [145500/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:18:12 time: 1.0531 data_time: 0.0190 memory: 24256 grad_norm: 19.1568 loss: 8.2823 loss_cls: 0.2795 loss_bbox: 0.1316 loss_iou: 0.2301 d0.loss_cls: 0.3161 d0.loss_bbox: 0.1420 d0.loss_iou: 0.2474 d1.loss_cls: 0.2999 d1.loss_bbox: 0.1327 d1.loss_iou: 0.2345 d2.loss_cls: 0.2848 d2.loss_bbox: 0.1323 d2.loss_iou: 0.2321 d3.loss_cls: 0.2827 d3.loss_bbox: 0.1315 d3.loss_iou: 0.2304 d4.loss_cls: 0.2813 d4.loss_bbox: 0.1310 d4.loss_iou: 0.2300 enc_loss_cls: 0.3375 enc_loss_bbox: 0.1517 enc_loss_iou: 0.2663 dn_loss_cls: 0.0664 dn_loss_bbox: 0.1380 dn_loss_iou: 0.1882 d0.dn_loss_cls: 0.1546 d0.dn_loss_bbox: 0.2830 d0.dn_loss_iou: 0.3228 d1.dn_loss_cls: 0.0997 d1.dn_loss_bbox: 0.1696 d1.dn_loss_iou: 0.2156 d2.dn_loss_cls: 0.0804 d2.dn_loss_bbox: 0.1455 d2.dn_loss_iou: 0.1952 d3.dn_loss_cls: 0.0716 d3.dn_loss_bbox: 0.1400 d3.dn_loss_iou: 0.1899 d4.dn_loss_cls: 0.0670 d4.dn_loss_bbox: 0.1380 d4.dn_loss_iou: 0.1883 d1.loss_lmm_region: 0.1127 loss_lmm_image: 0.6109 +2024/11/09 00:05:43 - mmengine - INFO - Iter(train) [145600/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:16:27 time: 1.0284 data_time: 0.0189 memory: 23768 grad_norm: 20.4826 loss: 8.2775 loss_cls: 0.2461 loss_bbox: 0.1304 loss_iou: 0.2253 d0.loss_cls: 0.2799 d0.loss_bbox: 0.1386 d0.loss_iou: 0.2359 d1.loss_cls: 0.2587 d1.loss_bbox: 0.1334 d1.loss_iou: 0.2323 d2.loss_cls: 0.2574 d2.loss_bbox: 0.1321 d2.loss_iou: 0.2274 d3.loss_cls: 0.2567 d3.loss_bbox: 0.1273 d3.loss_iou: 0.2252 d4.loss_cls: 0.2477 d4.loss_bbox: 0.1310 d4.loss_iou: 0.2263 enc_loss_cls: 0.3036 enc_loss_bbox: 0.1535 enc_loss_iou: 0.2621 dn_loss_cls: 0.0708 dn_loss_bbox: 0.1608 dn_loss_iou: 0.2062 d0.dn_loss_cls: 0.1567 d0.dn_loss_bbox: 0.3216 d0.dn_loss_iou: 0.3656 d1.dn_loss_cls: 0.0963 d1.dn_loss_bbox: 0.1969 d1.dn_loss_iou: 0.2428 d2.dn_loss_cls: 0.0798 d2.dn_loss_bbox: 0.1721 d2.dn_loss_iou: 0.2164 d3.dn_loss_cls: 0.0741 d3.dn_loss_bbox: 0.1626 d3.dn_loss_iou: 0.2073 d4.dn_loss_cls: 0.0716 d4.dn_loss_bbox: 0.1609 d4.dn_loss_iou: 0.2064 d1.loss_lmm_region: 0.0906 loss_lmm_image: 0.5870 +2024/11/09 00:07:26 - mmengine - INFO - Iter(train) [145700/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:14:43 time: 1.0453 data_time: 0.0189 memory: 23764 grad_norm: 18.6674 loss: 9.1420 loss_cls: 0.2955 loss_bbox: 0.1434 loss_iou: 0.2689 d0.loss_cls: 0.3283 d0.loss_bbox: 0.1621 d0.loss_iou: 0.2899 d1.loss_cls: 0.3090 d1.loss_bbox: 0.1557 d1.loss_iou: 0.2788 d2.loss_cls: 0.3019 d2.loss_bbox: 0.1519 d2.loss_iou: 0.2737 d3.loss_cls: 0.2974 d3.loss_bbox: 0.1463 d3.loss_iou: 0.2712 d4.loss_cls: 0.2958 d4.loss_bbox: 0.1441 d4.loss_iou: 0.2689 enc_loss_cls: 0.3416 enc_loss_bbox: 0.1731 enc_loss_iou: 0.3101 dn_loss_cls: 0.0780 dn_loss_bbox: 0.1605 dn_loss_iou: 0.2108 d0.dn_loss_cls: 0.1547 d0.dn_loss_bbox: 0.2981 d0.dn_loss_iou: 0.3463 d1.dn_loss_cls: 0.1033 d1.dn_loss_bbox: 0.1948 d1.dn_loss_iou: 0.2432 d2.dn_loss_cls: 0.0879 d2.dn_loss_bbox: 0.1694 d2.dn_loss_iou: 0.2192 d3.dn_loss_cls: 0.0807 d3.dn_loss_bbox: 0.1619 d3.dn_loss_iou: 0.2121 d4.dn_loss_cls: 0.0776 d4.dn_loss_bbox: 0.1605 d4.dn_loss_iou: 0.2109 d1.loss_lmm_region: 0.1051 loss_lmm_image: 0.6594 +2024/11/09 00:09:10 - mmengine - INFO - Iter(train) [145800/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:12:59 time: 1.0405 data_time: 0.0190 memory: 23519 grad_norm: 20.9518 loss: 9.1387 loss_cls: 0.2931 loss_bbox: 0.1417 loss_iou: 0.2572 d0.loss_cls: 0.3351 d0.loss_bbox: 0.1527 d0.loss_iou: 0.2707 d1.loss_cls: 0.3141 d1.loss_bbox: 0.1441 d1.loss_iou: 0.2626 d2.loss_cls: 0.3041 d2.loss_bbox: 0.1437 d2.loss_iou: 0.2608 d3.loss_cls: 0.3034 d3.loss_bbox: 0.1401 d3.loss_iou: 0.2580 d4.loss_cls: 0.2957 d4.loss_bbox: 0.1417 d4.loss_iou: 0.2567 enc_loss_cls: 0.3491 enc_loss_bbox: 0.1654 enc_loss_iou: 0.2899 dn_loss_cls: 0.0891 dn_loss_bbox: 0.1557 dn_loss_iou: 0.2181 d0.dn_loss_cls: 0.1779 d0.dn_loss_bbox: 0.3090 d0.dn_loss_iou: 0.3700 d1.dn_loss_cls: 0.1223 d1.dn_loss_bbox: 0.1875 d1.dn_loss_iou: 0.2484 d2.dn_loss_cls: 0.0995 d2.dn_loss_bbox: 0.1672 d2.dn_loss_iou: 0.2268 d3.dn_loss_cls: 0.0935 d3.dn_loss_bbox: 0.1571 d3.dn_loss_iou: 0.2197 d4.dn_loss_cls: 0.0909 d4.dn_loss_bbox: 0.1559 d4.dn_loss_iou: 0.2183 d1.loss_lmm_region: 0.1240 loss_lmm_image: 0.6279 +2024/11/09 00:10:53 - mmengine - INFO - Iter(train) [145900/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:11:14 time: 1.0281 data_time: 0.0189 memory: 24042 grad_norm: 20.6726 loss: 8.9400 loss_cls: 0.2744 loss_bbox: 0.1481 loss_iou: 0.2515 d0.loss_cls: 0.3103 d0.loss_bbox: 0.1545 d0.loss_iou: 0.2657 d1.loss_cls: 0.2966 d1.loss_bbox: 0.1463 d1.loss_iou: 0.2533 d2.loss_cls: 0.2855 d2.loss_bbox: 0.1451 d2.loss_iou: 0.2514 d3.loss_cls: 0.2816 d3.loss_bbox: 0.1436 d3.loss_iou: 0.2492 d4.loss_cls: 0.2777 d4.loss_bbox: 0.1456 d4.loss_iou: 0.2488 enc_loss_cls: 0.3381 enc_loss_bbox: 0.1658 enc_loss_iou: 0.2833 dn_loss_cls: 0.0619 dn_loss_bbox: 0.1841 dn_loss_iou: 0.2173 d0.dn_loss_cls: 0.1468 d0.dn_loss_bbox: 0.3427 d0.dn_loss_iou: 0.3689 d1.dn_loss_cls: 0.0923 d1.dn_loss_bbox: 0.2181 d1.dn_loss_iou: 0.2493 d2.dn_loss_cls: 0.0772 d2.dn_loss_bbox: 0.1929 d2.dn_loss_iou: 0.2257 d3.dn_loss_cls: 0.0674 d3.dn_loss_bbox: 0.1842 d3.dn_loss_iou: 0.2178 d4.dn_loss_cls: 0.0618 d4.dn_loss_bbox: 0.1840 d4.dn_loss_iou: 0.2172 d1.loss_lmm_region: 0.0942 loss_lmm_image: 0.6197 +2024/11/09 00:12:36 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/09 00:12:36 - mmengine - INFO - Iter(train) [146000/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:09:30 time: 1.0240 data_time: 0.0188 memory: 23593 grad_norm: 18.9442 loss: 9.1473 loss_cls: 0.3110 loss_bbox: 0.1398 loss_iou: 0.2542 d0.loss_cls: 0.3363 d0.loss_bbox: 0.1569 d0.loss_iou: 0.2731 d1.loss_cls: 0.3165 d1.loss_bbox: 0.1514 d1.loss_iou: 0.2631 d2.loss_cls: 0.3172 d2.loss_bbox: 0.1409 d2.loss_iou: 0.2580 d3.loss_cls: 0.3124 d3.loss_bbox: 0.1419 d3.loss_iou: 0.2555 d4.loss_cls: 0.3094 d4.loss_bbox: 0.1406 d4.loss_iou: 0.2555 enc_loss_cls: 0.3548 enc_loss_bbox: 0.1707 enc_loss_iou: 0.2940 dn_loss_cls: 0.0905 dn_loss_bbox: 0.1572 dn_loss_iou: 0.2146 d0.dn_loss_cls: 0.1787 d0.dn_loss_bbox: 0.2992 d0.dn_loss_iou: 0.3602 d1.dn_loss_cls: 0.1212 d1.dn_loss_bbox: 0.1892 d1.dn_loss_iou: 0.2470 d2.dn_loss_cls: 0.1055 d2.dn_loss_bbox: 0.1645 d2.dn_loss_iou: 0.2224 d3.dn_loss_cls: 0.0948 d3.dn_loss_bbox: 0.1583 d3.dn_loss_iou: 0.2159 d4.dn_loss_cls: 0.0903 d4.dn_loss_bbox: 0.1572 d4.dn_loss_iou: 0.2145 d1.loss_lmm_region: 0.0940 loss_lmm_image: 0.6189 +2024/11/09 00:14:20 - mmengine - INFO - Iter(train) [146100/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:07:46 time: 1.0372 data_time: 0.0190 memory: 23950 grad_norm: 20.3692 loss: 8.7935 loss_cls: 0.2745 loss_bbox: 0.1450 loss_iou: 0.2396 d0.loss_cls: 0.3093 d0.loss_bbox: 0.1522 d0.loss_iou: 0.2520 d1.loss_cls: 0.2937 d1.loss_bbox: 0.1452 d1.loss_iou: 0.2407 d2.loss_cls: 0.2845 d2.loss_bbox: 0.1425 d2.loss_iou: 0.2403 d3.loss_cls: 0.2827 d3.loss_bbox: 0.1429 d3.loss_iou: 0.2345 d4.loss_cls: 0.2754 d4.loss_bbox: 0.1435 d4.loss_iou: 0.2381 enc_loss_cls: 0.3305 enc_loss_bbox: 0.1647 enc_loss_iou: 0.2682 dn_loss_cls: 0.0764 dn_loss_bbox: 0.1682 dn_loss_iou: 0.2132 d0.dn_loss_cls: 0.1675 d0.dn_loss_bbox: 0.3222 d0.dn_loss_iou: 0.3618 d1.dn_loss_cls: 0.1092 d1.dn_loss_bbox: 0.2008 d1.dn_loss_iou: 0.2447 d2.dn_loss_cls: 0.0912 d2.dn_loss_bbox: 0.1776 d2.dn_loss_iou: 0.2214 d3.dn_loss_cls: 0.0818 d3.dn_loss_bbox: 0.1698 d3.dn_loss_iou: 0.2145 d4.dn_loss_cls: 0.0768 d4.dn_loss_bbox: 0.1682 d4.dn_loss_iou: 0.2132 d1.loss_lmm_region: 0.1088 loss_lmm_image: 0.6061 +2024/11/09 00:16:03 - mmengine - INFO - Iter(train) [146200/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:06:01 time: 1.0397 data_time: 0.0190 memory: 23529 grad_norm: 21.4149 loss: 9.0396 loss_cls: 0.2753 loss_bbox: 0.1482 loss_iou: 0.2948 d0.loss_cls: 0.3065 d0.loss_bbox: 0.1641 d0.loss_iou: 0.3149 d1.loss_cls: 0.2915 d1.loss_bbox: 0.1546 d1.loss_iou: 0.3031 d2.loss_cls: 0.2840 d2.loss_bbox: 0.1492 d2.loss_iou: 0.2981 d3.loss_cls: 0.2814 d3.loss_bbox: 0.1477 d3.loss_iou: 0.2949 d4.loss_cls: 0.2781 d4.loss_bbox: 0.1467 d4.loss_iou: 0.2948 enc_loss_cls: 0.3332 enc_loss_bbox: 0.1704 enc_loss_iou: 0.3269 dn_loss_cls: 0.0698 dn_loss_bbox: 0.1481 dn_loss_iou: 0.2153 d0.dn_loss_cls: 0.1530 d0.dn_loss_bbox: 0.2946 d0.dn_loss_iou: 0.3590 d1.dn_loss_cls: 0.0991 d1.dn_loss_bbox: 0.1766 d1.dn_loss_iou: 0.2459 d2.dn_loss_cls: 0.0846 d2.dn_loss_bbox: 0.1532 d2.dn_loss_iou: 0.2219 d3.dn_loss_cls: 0.0723 d3.dn_loss_bbox: 0.1487 d3.dn_loss_iou: 0.2164 d4.dn_loss_cls: 0.0702 d4.dn_loss_bbox: 0.1481 d4.dn_loss_iou: 0.2153 d1.loss_lmm_region: 0.0826 loss_lmm_image: 0.6067 +2024/11/09 00:17:46 - mmengine - INFO - Iter(train) [146300/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:04:17 time: 1.0295 data_time: 0.0189 memory: 22900 grad_norm: 19.6899 loss: 7.8204 loss_cls: 0.2472 loss_bbox: 0.1133 loss_iou: 0.2176 d0.loss_cls: 0.2771 d0.loss_bbox: 0.1275 d0.loss_iou: 0.2333 d1.loss_cls: 0.2594 d1.loss_bbox: 0.1204 d1.loss_iou: 0.2251 d2.loss_cls: 0.2548 d2.loss_bbox: 0.1179 d2.loss_iou: 0.2213 d3.loss_cls: 0.2504 d3.loss_bbox: 0.1162 d3.loss_iou: 0.2196 d4.loss_cls: 0.2455 d4.loss_bbox: 0.1138 d4.loss_iou: 0.2179 enc_loss_cls: 0.2928 enc_loss_bbox: 0.1361 enc_loss_iou: 0.2438 dn_loss_cls: 0.0634 dn_loss_bbox: 0.1383 dn_loss_iou: 0.1942 d0.dn_loss_cls: 0.1581 d0.dn_loss_bbox: 0.2773 d0.dn_loss_iou: 0.3327 d1.dn_loss_cls: 0.0993 d1.dn_loss_bbox: 0.1699 d1.dn_loss_iou: 0.2258 d2.dn_loss_cls: 0.0816 d2.dn_loss_bbox: 0.1446 d2.dn_loss_iou: 0.2011 d3.dn_loss_cls: 0.0711 d3.dn_loss_bbox: 0.1394 d3.dn_loss_iou: 0.1954 d4.dn_loss_cls: 0.0647 d4.dn_loss_bbox: 0.1382 d4.dn_loss_iou: 0.1942 d1.loss_lmm_region: 0.1024 loss_lmm_image: 0.5777 +2024/11/09 00:19:30 - mmengine - INFO - Iter(train) [146400/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:02:33 time: 1.0351 data_time: 0.0189 memory: 24256 grad_norm: 20.3605 loss: 9.0296 loss_cls: 0.2917 loss_bbox: 0.1378 loss_iou: 0.2704 d0.loss_cls: 0.3147 d0.loss_bbox: 0.1583 d0.loss_iou: 0.2936 d1.loss_cls: 0.3049 d1.loss_bbox: 0.1444 d1.loss_iou: 0.2773 d2.loss_cls: 0.2977 d2.loss_bbox: 0.1411 d2.loss_iou: 0.2705 d3.loss_cls: 0.2922 d3.loss_bbox: 0.1395 d3.loss_iou: 0.2719 d4.loss_cls: 0.2921 d4.loss_bbox: 0.1380 d4.loss_iou: 0.2698 enc_loss_cls: 0.3396 enc_loss_bbox: 0.1682 enc_loss_iou: 0.3061 dn_loss_cls: 0.0670 dn_loss_bbox: 0.1602 dn_loss_iou: 0.2226 d0.dn_loss_cls: 0.1639 d0.dn_loss_bbox: 0.3063 d0.dn_loss_iou: 0.3679 d1.dn_loss_cls: 0.0981 d1.dn_loss_bbox: 0.1885 d1.dn_loss_iou: 0.2510 d2.dn_loss_cls: 0.0803 d2.dn_loss_bbox: 0.1645 d2.dn_loss_iou: 0.2288 d3.dn_loss_cls: 0.0696 d3.dn_loss_bbox: 0.1612 d3.dn_loss_iou: 0.2242 d4.dn_loss_cls: 0.0668 d4.dn_loss_bbox: 0.1603 d4.dn_loss_iou: 0.2228 d1.loss_lmm_region: 0.0843 loss_lmm_image: 0.6217 +2024/11/09 00:21:13 - mmengine - INFO - Iter(train) [146500/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:00:49 time: 1.0313 data_time: 0.0190 memory: 23679 grad_norm: 20.0207 loss: 8.2155 loss_cls: 0.2573 loss_bbox: 0.1366 loss_iou: 0.2336 d0.loss_cls: 0.3036 d0.loss_bbox: 0.1466 d0.loss_iou: 0.2421 d1.loss_cls: 0.2814 d1.loss_bbox: 0.1371 d1.loss_iou: 0.2350 d2.loss_cls: 0.2718 d2.loss_bbox: 0.1349 d2.loss_iou: 0.2331 d3.loss_cls: 0.2671 d3.loss_bbox: 0.1365 d3.loss_iou: 0.2329 d4.loss_cls: 0.2592 d4.loss_bbox: 0.1365 d4.loss_iou: 0.2335 enc_loss_cls: 0.3233 enc_loss_bbox: 0.1579 enc_loss_iou: 0.2620 dn_loss_cls: 0.0745 dn_loss_bbox: 0.1355 dn_loss_iou: 0.1845 d0.dn_loss_cls: 0.1522 d0.dn_loss_bbox: 0.2744 d0.dn_loss_iou: 0.3221 d1.dn_loss_cls: 0.1001 d1.dn_loss_bbox: 0.1658 d1.dn_loss_iou: 0.2147 d2.dn_loss_cls: 0.0844 d2.dn_loss_bbox: 0.1436 d2.dn_loss_iou: 0.1926 d3.dn_loss_cls: 0.0785 d3.dn_loss_bbox: 0.1364 d3.dn_loss_iou: 0.1856 d4.dn_loss_cls: 0.0743 d4.dn_loss_bbox: 0.1356 d4.dn_loss_iou: 0.1845 d1.loss_lmm_region: 0.0975 loss_lmm_image: 0.6566 +2024/11/09 00:22:56 - mmengine - INFO - Iter(train) [146600/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:59:04 time: 1.0290 data_time: 0.0189 memory: 23477 grad_norm: 18.1540 loss: 8.5466 loss_cls: 0.2637 loss_bbox: 0.1335 loss_iou: 0.2238 d0.loss_cls: 0.2969 d0.loss_bbox: 0.1497 d0.loss_iou: 0.2402 d1.loss_cls: 0.2818 d1.loss_bbox: 0.1373 d1.loss_iou: 0.2262 d2.loss_cls: 0.2738 d2.loss_bbox: 0.1318 d2.loss_iou: 0.2229 d3.loss_cls: 0.2687 d3.loss_bbox: 0.1325 d3.loss_iou: 0.2253 d4.loss_cls: 0.2648 d4.loss_bbox: 0.1334 d4.loss_iou: 0.2232 enc_loss_cls: 0.3200 enc_loss_bbox: 0.1642 enc_loss_iou: 0.2591 dn_loss_cls: 0.0766 dn_loss_bbox: 0.1660 dn_loss_iou: 0.2040 d0.dn_loss_cls: 0.1636 d0.dn_loss_bbox: 0.3243 d0.dn_loss_iou: 0.3499 d1.dn_loss_cls: 0.1108 d1.dn_loss_bbox: 0.1992 d1.dn_loss_iou: 0.2370 d2.dn_loss_cls: 0.0946 d2.dn_loss_bbox: 0.1770 d2.dn_loss_iou: 0.2137 d3.dn_loss_cls: 0.0840 d3.dn_loss_bbox: 0.1680 d3.dn_loss_iou: 0.2058 d4.dn_loss_cls: 0.0790 d4.dn_loss_bbox: 0.1660 d4.dn_loss_iou: 0.2039 d1.loss_lmm_region: 0.0989 loss_lmm_image: 0.6517 +2024/11/09 00:24:39 - mmengine - INFO - Iter(train) [146700/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:57:20 time: 1.0221 data_time: 0.0192 memory: 24000 grad_norm: 19.5732 loss: 7.6355 loss_cls: 0.2438 loss_bbox: 0.1106 loss_iou: 0.2285 d0.loss_cls: 0.2771 d0.loss_bbox: 0.1259 d0.loss_iou: 0.2493 d1.loss_cls: 0.2591 d1.loss_bbox: 0.1160 d1.loss_iou: 0.2402 d2.loss_cls: 0.2522 d2.loss_bbox: 0.1123 d2.loss_iou: 0.2321 d3.loss_cls: 0.2463 d3.loss_bbox: 0.1118 d3.loss_iou: 0.2304 d4.loss_cls: 0.2427 d4.loss_bbox: 0.1114 d4.loss_iou: 0.2295 enc_loss_cls: 0.2949 enc_loss_bbox: 0.1395 enc_loss_iou: 0.2682 dn_loss_cls: 0.0550 dn_loss_bbox: 0.1294 dn_loss_iou: 0.1762 d0.dn_loss_cls: 0.1310 d0.dn_loss_bbox: 0.2438 d0.dn_loss_iou: 0.3016 d1.dn_loss_cls: 0.0821 d1.dn_loss_bbox: 0.1541 d1.dn_loss_iou: 0.2038 d2.dn_loss_cls: 0.0682 d2.dn_loss_bbox: 0.1360 d2.dn_loss_iou: 0.1834 d3.dn_loss_cls: 0.0594 d3.dn_loss_bbox: 0.1295 d3.dn_loss_iou: 0.1770 d4.dn_loss_cls: 0.0555 d4.dn_loss_bbox: 0.1293 d4.dn_loss_iou: 0.1762 d1.loss_lmm_region: 0.0872 loss_lmm_image: 0.6347 +2024/11/09 00:26:23 - mmengine - INFO - Iter(train) [146800/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:55:36 time: 1.0263 data_time: 0.0190 memory: 23571 grad_norm: 19.3969 loss: 8.2529 loss_cls: 0.2656 loss_bbox: 0.1278 loss_iou: 0.2557 d0.loss_cls: 0.3006 d0.loss_bbox: 0.1374 d0.loss_iou: 0.2699 d1.loss_cls: 0.2863 d1.loss_bbox: 0.1309 d1.loss_iou: 0.2615 d2.loss_cls: 0.2792 d2.loss_bbox: 0.1264 d2.loss_iou: 0.2536 d3.loss_cls: 0.2734 d3.loss_bbox: 0.1245 d3.loss_iou: 0.2532 d4.loss_cls: 0.2678 d4.loss_bbox: 0.1269 d4.loss_iou: 0.2548 enc_loss_cls: 0.3185 enc_loss_bbox: 0.1523 enc_loss_iou: 0.2880 dn_loss_cls: 0.0661 dn_loss_bbox: 0.1382 dn_loss_iou: 0.1851 d0.dn_loss_cls: 0.1361 d0.dn_loss_bbox: 0.2628 d0.dn_loss_iou: 0.3170 d1.dn_loss_cls: 0.0886 d1.dn_loss_bbox: 0.1662 d1.dn_loss_iou: 0.2136 d2.dn_loss_cls: 0.0768 d2.dn_loss_bbox: 0.1449 d2.dn_loss_iou: 0.1925 d3.dn_loss_cls: 0.0701 d3.dn_loss_bbox: 0.1394 d3.dn_loss_iou: 0.1866 d4.dn_loss_cls: 0.0667 d4.dn_loss_bbox: 0.1382 d4.dn_loss_iou: 0.1852 d1.loss_lmm_region: 0.0929 loss_lmm_image: 0.6318 +2024/11/09 00:28:06 - mmengine - INFO - Iter(train) [146900/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:53:51 time: 1.0476 data_time: 0.0191 memory: 23800 grad_norm: 19.4758 loss: 8.5816 loss_cls: 0.2594 loss_bbox: 0.1319 loss_iou: 0.2692 d0.loss_cls: 0.3024 d0.loss_bbox: 0.1419 d0.loss_iou: 0.2804 d1.loss_cls: 0.2806 d1.loss_bbox: 0.1371 d1.loss_iou: 0.2733 d2.loss_cls: 0.2701 d2.loss_bbox: 0.1340 d2.loss_iou: 0.2707 d3.loss_cls: 0.2651 d3.loss_bbox: 0.1312 d3.loss_iou: 0.2710 d4.loss_cls: 0.2603 d4.loss_bbox: 0.1324 d4.loss_iou: 0.2692 enc_loss_cls: 0.3157 enc_loss_bbox: 0.1558 enc_loss_iou: 0.3001 dn_loss_cls: 0.0703 dn_loss_bbox: 0.1584 dn_loss_iou: 0.2009 d0.dn_loss_cls: 0.1390 d0.dn_loss_bbox: 0.2876 d0.dn_loss_iou: 0.3326 d1.dn_loss_cls: 0.0964 d1.dn_loss_bbox: 0.1872 d1.dn_loss_iou: 0.2302 d2.dn_loss_cls: 0.0834 d2.dn_loss_bbox: 0.1673 d2.dn_loss_iou: 0.2075 d3.dn_loss_cls: 0.0737 d3.dn_loss_bbox: 0.1590 d3.dn_loss_iou: 0.2020 d4.dn_loss_cls: 0.0713 d4.dn_loss_bbox: 0.1583 d4.dn_loss_iou: 0.2008 d1.loss_lmm_region: 0.0827 loss_lmm_image: 0.6212 +2024/11/09 00:29:49 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/09 00:29:49 - mmengine - INFO - Iter(train) [147000/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:52:07 time: 1.0246 data_time: 0.0189 memory: 24964 grad_norm: 22.3067 loss: 8.0777 loss_cls: 0.2601 loss_bbox: 0.1136 loss_iou: 0.2249 d0.loss_cls: 0.2935 d0.loss_bbox: 0.1289 d0.loss_iou: 0.2402 d1.loss_cls: 0.2697 d1.loss_bbox: 0.1231 d1.loss_iou: 0.2340 d2.loss_cls: 0.2649 d2.loss_bbox: 0.1216 d2.loss_iou: 0.2315 d3.loss_cls: 0.2606 d3.loss_bbox: 0.1164 d3.loss_iou: 0.2272 d4.loss_cls: 0.2606 d4.loss_bbox: 0.1153 d4.loss_iou: 0.2259 enc_loss_cls: 0.3092 enc_loss_bbox: 0.1423 enc_loss_iou: 0.2581 dn_loss_cls: 0.0628 dn_loss_bbox: 0.1655 dn_loss_iou: 0.1896 d0.dn_loss_cls: 0.1411 d0.dn_loss_bbox: 0.2863 d0.dn_loss_iou: 0.3144 d1.dn_loss_cls: 0.0875 d1.dn_loss_bbox: 0.1859 d1.dn_loss_iou: 0.2133 d2.dn_loss_cls: 0.0747 d2.dn_loss_bbox: 0.1708 d2.dn_loss_iou: 0.1953 d3.dn_loss_cls: 0.0661 d3.dn_loss_bbox: 0.1655 d3.dn_loss_iou: 0.1903 d4.dn_loss_cls: 0.0637 d4.dn_loss_bbox: 0.1657 d4.dn_loss_iou: 0.1896 d1.loss_lmm_region: 0.0880 loss_lmm_image: 0.6397 +2024/11/09 00:31:32 - mmengine - INFO - Iter(train) [147100/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:50:23 time: 1.0320 data_time: 0.0190 memory: 22662 grad_norm: 20.7782 loss: 7.4731 loss_cls: 0.2354 loss_bbox: 0.0987 loss_iou: 0.1933 d0.loss_cls: 0.2664 d0.loss_bbox: 0.1105 d0.loss_iou: 0.2083 d1.loss_cls: 0.2510 d1.loss_bbox: 0.1022 d1.loss_iou: 0.1981 d2.loss_cls: 0.2418 d2.loss_bbox: 0.1000 d2.loss_iou: 0.1948 d3.loss_cls: 0.2423 d3.loss_bbox: 0.0987 d3.loss_iou: 0.1925 d4.loss_cls: 0.2362 d4.loss_bbox: 0.0988 d4.loss_iou: 0.1932 enc_loss_cls: 0.2794 enc_loss_bbox: 0.1248 enc_loss_iou: 0.2263 dn_loss_cls: 0.0858 dn_loss_bbox: 0.1355 dn_loss_iou: 0.1783 d0.dn_loss_cls: 0.1596 d0.dn_loss_bbox: 0.2734 d0.dn_loss_iou: 0.3076 d1.dn_loss_cls: 0.1140 d1.dn_loss_bbox: 0.1649 d1.dn_loss_iou: 0.2078 d2.dn_loss_cls: 0.0978 d2.dn_loss_bbox: 0.1409 d2.dn_loss_iou: 0.1848 d3.dn_loss_cls: 0.0904 d3.dn_loss_bbox: 0.1359 d3.dn_loss_iou: 0.1795 d4.dn_loss_cls: 0.0859 d4.dn_loss_bbox: 0.1356 d4.dn_loss_iou: 0.1783 d1.loss_lmm_region: 0.0992 loss_lmm_image: 0.6254 +2024/11/09 00:33:16 - mmengine - INFO - Iter(train) [147200/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:48:39 time: 1.0338 data_time: 0.0189 memory: 23577 grad_norm: 19.3807 loss: 8.6701 loss_cls: 0.2583 loss_bbox: 0.1324 loss_iou: 0.2328 d0.loss_cls: 0.2900 d0.loss_bbox: 0.1526 d0.loss_iou: 0.2473 d1.loss_cls: 0.2754 d1.loss_bbox: 0.1397 d1.loss_iou: 0.2324 d2.loss_cls: 0.2665 d2.loss_bbox: 0.1375 d2.loss_iou: 0.2303 d3.loss_cls: 0.2634 d3.loss_bbox: 0.1338 d3.loss_iou: 0.2306 d4.loss_cls: 0.2600 d4.loss_bbox: 0.1339 d4.loss_iou: 0.2328 enc_loss_cls: 0.3143 enc_loss_bbox: 0.1584 enc_loss_iou: 0.2550 dn_loss_cls: 0.0861 dn_loss_bbox: 0.1645 dn_loss_iou: 0.2184 d0.dn_loss_cls: 0.1726 d0.dn_loss_bbox: 0.3186 d0.dn_loss_iou: 0.3628 d1.dn_loss_cls: 0.1174 d1.dn_loss_bbox: 0.1998 d1.dn_loss_iou: 0.2498 d2.dn_loss_cls: 0.1014 d2.dn_loss_bbox: 0.1730 d2.dn_loss_iou: 0.2264 d3.dn_loss_cls: 0.0936 d3.dn_loss_bbox: 0.1662 d3.dn_loss_iou: 0.2198 d4.dn_loss_cls: 0.0882 d4.dn_loss_bbox: 0.1645 d4.dn_loss_iou: 0.2184 d1.loss_lmm_region: 0.1125 loss_lmm_image: 0.6386 +2024/11/09 00:34:58 - mmengine - INFO - Iter(train) [147300/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:46:54 time: 1.0152 data_time: 0.0190 memory: 22891 grad_norm: 27.4213 loss: 10.1624 loss_cls: 0.3156 loss_bbox: 0.1732 loss_iou: 0.2960 d0.loss_cls: 0.3551 d0.loss_bbox: 0.1906 d0.loss_iou: 0.3243 d1.loss_cls: 0.3430 d1.loss_bbox: 0.1741 d1.loss_iou: 0.3027 d2.loss_cls: 0.3329 d2.loss_bbox: 0.1716 d2.loss_iou: 0.2996 d3.loss_cls: 0.3288 d3.loss_bbox: 0.1680 d3.loss_iou: 0.2965 d4.loss_cls: 0.3166 d4.loss_bbox: 0.1716 d4.loss_iou: 0.2972 enc_loss_cls: 0.3735 enc_loss_bbox: 0.2084 enc_loss_iou: 0.3486 dn_loss_cls: 0.0790 dn_loss_bbox: 0.1901 dn_loss_iou: 0.2420 d0.dn_loss_cls: 0.1702 d0.dn_loss_bbox: 0.3440 d0.dn_loss_iou: 0.3959 d1.dn_loss_cls: 0.1201 d1.dn_loss_bbox: 0.2280 d1.dn_loss_iou: 0.2781 d2.dn_loss_cls: 0.0990 d2.dn_loss_bbox: 0.2016 d2.dn_loss_iou: 0.2522 d3.dn_loss_cls: 0.0856 d3.dn_loss_bbox: 0.1930 d3.dn_loss_iou: 0.2439 d4.dn_loss_cls: 0.0805 d4.dn_loss_bbox: 0.1901 d4.dn_loss_iou: 0.2422 d1.loss_lmm_region: 0.0980 loss_lmm_image: 0.6410 +2024/11/09 00:36:42 - mmengine - INFO - Iter(train) [147400/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:45:10 time: 1.0264 data_time: 0.0189 memory: 23693 grad_norm: 18.4033 loss: 8.2565 loss_cls: 0.2556 loss_bbox: 0.1207 loss_iou: 0.2308 d0.loss_cls: 0.2923 d0.loss_bbox: 0.1389 d0.loss_iou: 0.2502 d1.loss_cls: 0.2757 d1.loss_bbox: 0.1213 d1.loss_iou: 0.2325 d2.loss_cls: 0.2707 d2.loss_bbox: 0.1163 d2.loss_iou: 0.2288 d3.loss_cls: 0.2645 d3.loss_bbox: 0.1181 d3.loss_iou: 0.2308 d4.loss_cls: 0.2582 d4.loss_bbox: 0.1199 d4.loss_iou: 0.2287 enc_loss_cls: 0.3100 enc_loss_bbox: 0.1514 enc_loss_iou: 0.2646 dn_loss_cls: 0.0882 dn_loss_bbox: 0.1399 dn_loss_iou: 0.1928 d0.dn_loss_cls: 0.1732 d0.dn_loss_bbox: 0.2970 d0.dn_loss_iou: 0.3361 d1.dn_loss_cls: 0.1210 d1.dn_loss_bbox: 0.1751 d1.dn_loss_iou: 0.2245 d2.dn_loss_cls: 0.1026 d2.dn_loss_bbox: 0.1494 d2.dn_loss_iou: 0.2017 d3.dn_loss_cls: 0.0961 d3.dn_loss_bbox: 0.1417 d3.dn_loss_iou: 0.1940 d4.dn_loss_cls: 0.0886 d4.dn_loss_bbox: 0.1400 d4.dn_loss_iou: 0.1928 d1.loss_lmm_region: 0.0964 loss_lmm_image: 0.6255 +2024/11/09 00:38:25 - mmengine - INFO - Iter(train) [147500/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:43:26 time: 1.0367 data_time: 0.0190 memory: 24306 grad_norm: 20.1584 loss: 8.3278 loss_cls: 0.2495 loss_bbox: 0.1204 loss_iou: 0.2344 d0.loss_cls: 0.2804 d0.loss_bbox: 0.1397 d0.loss_iou: 0.2526 d1.loss_cls: 0.2697 d1.loss_bbox: 0.1284 d1.loss_iou: 0.2429 d2.loss_cls: 0.2604 d2.loss_bbox: 0.1225 d2.loss_iou: 0.2348 d3.loss_cls: 0.2561 d3.loss_bbox: 0.1217 d3.loss_iou: 0.2365 d4.loss_cls: 0.2505 d4.loss_bbox: 0.1211 d4.loss_iou: 0.2352 enc_loss_cls: 0.2954 enc_loss_bbox: 0.1540 enc_loss_iou: 0.2735 dn_loss_cls: 0.0688 dn_loss_bbox: 0.1613 dn_loss_iou: 0.2142 d0.dn_loss_cls: 0.1579 d0.dn_loss_bbox: 0.3058 d0.dn_loss_iou: 0.3572 d1.dn_loss_cls: 0.1010 d1.dn_loss_bbox: 0.1925 d1.dn_loss_iou: 0.2458 d2.dn_loss_cls: 0.0845 d2.dn_loss_bbox: 0.1691 d2.dn_loss_iou: 0.2216 d3.dn_loss_cls: 0.0751 d3.dn_loss_bbox: 0.1631 d3.dn_loss_iou: 0.2158 d4.dn_loss_cls: 0.0697 d4.dn_loss_bbox: 0.1613 d4.dn_loss_iou: 0.2142 d1.loss_lmm_region: 0.0883 loss_lmm_image: 0.5810 +2024/11/09 00:40:09 - mmengine - INFO - Iter(train) [147600/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:41:42 time: 1.0390 data_time: 0.0189 memory: 23557 grad_norm: 19.1695 loss: 8.9841 loss_cls: 0.2926 loss_bbox: 0.1393 loss_iou: 0.2488 d0.loss_cls: 0.3154 d0.loss_bbox: 0.1607 d0.loss_iou: 0.2702 d1.loss_cls: 0.2989 d1.loss_bbox: 0.1505 d1.loss_iou: 0.2566 d2.loss_cls: 0.2986 d2.loss_bbox: 0.1431 d2.loss_iou: 0.2531 d3.loss_cls: 0.2988 d3.loss_bbox: 0.1435 d3.loss_iou: 0.2529 d4.loss_cls: 0.2961 d4.loss_bbox: 0.1390 d4.loss_iou: 0.2486 enc_loss_cls: 0.3382 enc_loss_bbox: 0.1637 enc_loss_iou: 0.2802 dn_loss_cls: 0.0751 dn_loss_bbox: 0.1720 dn_loss_iou: 0.2194 d0.dn_loss_cls: 0.1618 d0.dn_loss_bbox: 0.3225 d0.dn_loss_iou: 0.3657 d1.dn_loss_cls: 0.1057 d1.dn_loss_bbox: 0.2034 d1.dn_loss_iou: 0.2487 d2.dn_loss_cls: 0.0898 d2.dn_loss_bbox: 0.1775 d2.dn_loss_iou: 0.2263 d3.dn_loss_cls: 0.0800 d3.dn_loss_bbox: 0.1732 d3.dn_loss_iou: 0.2207 d4.dn_loss_cls: 0.0763 d4.dn_loss_bbox: 0.1718 d4.dn_loss_iou: 0.2192 d1.loss_lmm_region: 0.1029 loss_lmm_image: 0.5834 +2024/11/09 00:41:52 - mmengine - INFO - Iter(train) [147700/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:39:57 time: 1.0308 data_time: 0.0189 memory: 24271 grad_norm: 20.3724 loss: 8.8670 loss_cls: 0.2886 loss_bbox: 0.1259 loss_iou: 0.2563 d0.loss_cls: 0.3258 d0.loss_bbox: 0.1434 d0.loss_iou: 0.2771 d1.loss_cls: 0.3106 d1.loss_bbox: 0.1338 d1.loss_iou: 0.2620 d2.loss_cls: 0.3043 d2.loss_bbox: 0.1245 d2.loss_iou: 0.2568 d3.loss_cls: 0.2958 d3.loss_bbox: 0.1254 d3.loss_iou: 0.2563 d4.loss_cls: 0.2905 d4.loss_bbox: 0.1250 d4.loss_iou: 0.2560 enc_loss_cls: 0.3388 enc_loss_bbox: 0.1503 enc_loss_iou: 0.2874 dn_loss_cls: 0.0849 dn_loss_bbox: 0.1514 dn_loss_iou: 0.2131 d0.dn_loss_cls: 0.1739 d0.dn_loss_bbox: 0.3073 d0.dn_loss_iou: 0.3574 d1.dn_loss_cls: 0.1160 d1.dn_loss_bbox: 0.1776 d1.dn_loss_iou: 0.2394 d2.dn_loss_cls: 0.0994 d2.dn_loss_bbox: 0.1585 d2.dn_loss_iou: 0.2202 d3.dn_loss_cls: 0.0898 d3.dn_loss_bbox: 0.1531 d3.dn_loss_iou: 0.2145 d4.dn_loss_cls: 0.0850 d4.dn_loss_bbox: 0.1514 d4.dn_loss_iou: 0.2132 d1.loss_lmm_region: 0.1127 loss_lmm_image: 0.6135 +2024/11/09 00:43:34 - mmengine - INFO - Iter(train) [147800/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:38:13 time: 1.0228 data_time: 0.0191 memory: 23610 grad_norm: 19.2212 loss: 9.3514 loss_cls: 0.2606 loss_bbox: 0.1666 loss_iou: 0.2861 d0.loss_cls: 0.3067 d0.loss_bbox: 0.1746 d0.loss_iou: 0.2949 d1.loss_cls: 0.2829 d1.loss_bbox: 0.1718 d1.loss_iou: 0.2879 d2.loss_cls: 0.2786 d2.loss_bbox: 0.1677 d2.loss_iou: 0.2825 d3.loss_cls: 0.2691 d3.loss_bbox: 0.1656 d3.loss_iou: 0.2856 d4.loss_cls: 0.2618 d4.loss_bbox: 0.1669 d4.loss_iou: 0.2861 enc_loss_cls: 0.3274 enc_loss_bbox: 0.1875 enc_loss_iou: 0.3131 dn_loss_cls: 0.0699 dn_loss_bbox: 0.1868 dn_loss_iou: 0.2226 d0.dn_loss_cls: 0.1583 d0.dn_loss_bbox: 0.3422 d0.dn_loss_iou: 0.3761 d1.dn_loss_cls: 0.0996 d1.dn_loss_bbox: 0.2177 d1.dn_loss_iou: 0.2542 d2.dn_loss_cls: 0.0828 d2.dn_loss_bbox: 0.1963 d2.dn_loss_iou: 0.2316 d3.dn_loss_cls: 0.0767 d3.dn_loss_bbox: 0.1875 d3.dn_loss_iou: 0.2238 d4.dn_loss_cls: 0.0713 d4.dn_loss_bbox: 0.1868 d4.dn_loss_iou: 0.2229 d1.loss_lmm_region: 0.1035 loss_lmm_image: 0.6169 +2024/11/09 00:45:17 - mmengine - INFO - Iter(train) [147900/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:36:29 time: 1.0192 data_time: 0.0190 memory: 23470 grad_norm: 18.4043 loss: 9.5361 loss_cls: 0.3177 loss_bbox: 0.1524 loss_iou: 0.2917 d0.loss_cls: 0.3489 d0.loss_bbox: 0.1815 d0.loss_iou: 0.3216 d1.loss_cls: 0.3423 d1.loss_bbox: 0.1596 d1.loss_iou: 0.2993 d2.loss_cls: 0.3300 d2.loss_bbox: 0.1571 d2.loss_iou: 0.2941 d3.loss_cls: 0.3241 d3.loss_bbox: 0.1542 d3.loss_iou: 0.2928 d4.loss_cls: 0.3181 d4.loss_bbox: 0.1526 d4.loss_iou: 0.2913 enc_loss_cls: 0.3784 enc_loss_bbox: 0.1821 enc_loss_iou: 0.3331 dn_loss_cls: 0.0636 dn_loss_bbox: 0.1715 dn_loss_iou: 0.2157 d0.dn_loss_cls: 0.1509 d0.dn_loss_bbox: 0.3261 d0.dn_loss_iou: 0.3663 d1.dn_loss_cls: 0.0922 d1.dn_loss_bbox: 0.2113 d1.dn_loss_iou: 0.2485 d2.dn_loss_cls: 0.0760 d2.dn_loss_bbox: 0.1815 d2.dn_loss_iou: 0.2237 d3.dn_loss_cls: 0.0687 d3.dn_loss_bbox: 0.1740 d3.dn_loss_iou: 0.2174 d4.dn_loss_cls: 0.0641 d4.dn_loss_bbox: 0.1715 d4.dn_loss_iou: 0.2156 d1.loss_lmm_region: 0.0925 loss_lmm_image: 0.5818 +2024/11/09 00:46:59 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/09 00:46:59 - mmengine - INFO - Iter(train) [148000/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:34:44 time: 1.0182 data_time: 0.0191 memory: 23917 grad_norm: 19.6444 loss: 8.3284 loss_cls: 0.2525 loss_bbox: 0.1306 loss_iou: 0.2574 d0.loss_cls: 0.2894 d0.loss_bbox: 0.1416 d0.loss_iou: 0.2744 d1.loss_cls: 0.2694 d1.loss_bbox: 0.1342 d1.loss_iou: 0.2632 d2.loss_cls: 0.2637 d2.loss_bbox: 0.1301 d2.loss_iou: 0.2598 d3.loss_cls: 0.2581 d3.loss_bbox: 0.1304 d3.loss_iou: 0.2568 d4.loss_cls: 0.2537 d4.loss_bbox: 0.1306 d4.loss_iou: 0.2569 enc_loss_cls: 0.3151 enc_loss_bbox: 0.1485 enc_loss_iou: 0.2849 dn_loss_cls: 0.0640 dn_loss_bbox: 0.1306 dn_loss_iou: 0.2047 d0.dn_loss_cls: 0.1505 d0.dn_loss_bbox: 0.2696 d0.dn_loss_iou: 0.3468 d1.dn_loss_cls: 0.0937 d1.dn_loss_bbox: 0.1622 d1.dn_loss_iou: 0.2350 d2.dn_loss_cls: 0.0768 d2.dn_loss_bbox: 0.1398 d2.dn_loss_iou: 0.2133 d3.dn_loss_cls: 0.0684 d3.dn_loss_bbox: 0.1320 d3.dn_loss_iou: 0.2066 d4.dn_loss_cls: 0.0641 d4.dn_loss_bbox: 0.1306 d4.dn_loss_iou: 0.2048 d1.loss_lmm_region: 0.0832 loss_lmm_image: 0.6507 +2024/11/09 00:48:41 - mmengine - INFO - Iter(train) [148100/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:33:00 time: 1.0098 data_time: 0.0190 memory: 23509 grad_norm: 20.0846 loss: 8.8520 loss_cls: 0.2682 loss_bbox: 0.1318 loss_iou: 0.2524 d0.loss_cls: 0.3041 d0.loss_bbox: 0.1395 d0.loss_iou: 0.2611 d1.loss_cls: 0.2917 d1.loss_bbox: 0.1333 d1.loss_iou: 0.2528 d2.loss_cls: 0.2821 d2.loss_bbox: 0.1295 d2.loss_iou: 0.2482 d3.loss_cls: 0.2782 d3.loss_bbox: 0.1270 d3.loss_iou: 0.2490 d4.loss_cls: 0.2719 d4.loss_bbox: 0.1308 d4.loss_iou: 0.2503 enc_loss_cls: 0.3312 enc_loss_bbox: 0.1487 enc_loss_iou: 0.2721 dn_loss_cls: 0.0700 dn_loss_bbox: 0.1680 dn_loss_iou: 0.2315 d0.dn_loss_cls: 0.1589 d0.dn_loss_bbox: 0.3366 d0.dn_loss_iou: 0.3886 d1.dn_loss_cls: 0.1001 d1.dn_loss_bbox: 0.2044 d1.dn_loss_iou: 0.2655 d2.dn_loss_cls: 0.0827 d2.dn_loss_bbox: 0.1765 d2.dn_loss_iou: 0.2396 d3.dn_loss_cls: 0.0733 d3.dn_loss_bbox: 0.1694 d3.dn_loss_iou: 0.2328 d4.dn_loss_cls: 0.0703 d4.dn_loss_bbox: 0.1681 d4.dn_loss_iou: 0.2314 d1.loss_lmm_region: 0.1049 loss_lmm_image: 0.6255 +2024/11/09 00:50:24 - mmengine - INFO - Iter(train) [148200/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:31:16 time: 1.0245 data_time: 0.0191 memory: 23085 grad_norm: 22.7485 loss: 10.3238 loss_cls: 0.3091 loss_bbox: 0.1822 loss_iou: 0.3267 d0.loss_cls: 0.3473 d0.loss_bbox: 0.2006 d0.loss_iou: 0.3489 d1.loss_cls: 0.3264 d1.loss_bbox: 0.1866 d1.loss_iou: 0.3344 d2.loss_cls: 0.3207 d2.loss_bbox: 0.1827 d2.loss_iou: 0.3286 d3.loss_cls: 0.3151 d3.loss_bbox: 0.1819 d3.loss_iou: 0.3265 d4.loss_cls: 0.3087 d4.loss_bbox: 0.1839 d4.loss_iou: 0.3276 enc_loss_cls: 0.3662 enc_loss_bbox: 0.2130 enc_loss_iou: 0.3638 dn_loss_cls: 0.0744 dn_loss_bbox: 0.1863 dn_loss_iou: 0.2525 d0.dn_loss_cls: 0.1761 d0.dn_loss_bbox: 0.3291 d0.dn_loss_iou: 0.4001 d1.dn_loss_cls: 0.1181 d1.dn_loss_bbox: 0.2187 d1.dn_loss_iou: 0.2839 d2.dn_loss_cls: 0.0993 d2.dn_loss_bbox: 0.1932 d2.dn_loss_iou: 0.2590 d3.dn_loss_cls: 0.0834 d3.dn_loss_bbox: 0.1867 d3.dn_loss_iou: 0.2529 d4.dn_loss_cls: 0.0753 d4.dn_loss_bbox: 0.1863 d4.dn_loss_iou: 0.2526 d1.loss_lmm_region: 0.1271 loss_lmm_image: 0.5880 +2024/11/09 00:52:08 - mmengine - INFO - Iter(train) [148300/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:29:32 time: 1.0360 data_time: 0.0190 memory: 23257 grad_norm: 18.5694 loss: 9.2905 loss_cls: 0.2828 loss_bbox: 0.1581 loss_iou: 0.2752 d0.loss_cls: 0.3099 d0.loss_bbox: 0.1837 d0.loss_iou: 0.2995 d1.loss_cls: 0.2971 d1.loss_bbox: 0.1683 d1.loss_iou: 0.2853 d2.loss_cls: 0.2886 d2.loss_bbox: 0.1611 d2.loss_iou: 0.2818 d3.loss_cls: 0.2870 d3.loss_bbox: 0.1576 d3.loss_iou: 0.2775 d4.loss_cls: 0.2858 d4.loss_bbox: 0.1573 d4.loss_iou: 0.2754 enc_loss_cls: 0.3396 enc_loss_bbox: 0.1901 enc_loss_iou: 0.3142 dn_loss_cls: 0.0588 dn_loss_bbox: 0.1720 dn_loss_iou: 0.2274 d0.dn_loss_cls: 0.1538 d0.dn_loss_bbox: 0.3310 d0.dn_loss_iou: 0.3772 d1.dn_loss_cls: 0.0920 d1.dn_loss_bbox: 0.2019 d1.dn_loss_iou: 0.2581 d2.dn_loss_cls: 0.0733 d2.dn_loss_bbox: 0.1793 d2.dn_loss_iou: 0.2353 d3.dn_loss_cls: 0.0640 d3.dn_loss_bbox: 0.1720 d3.dn_loss_iou: 0.2282 d4.dn_loss_cls: 0.0602 d4.dn_loss_bbox: 0.1720 d4.dn_loss_iou: 0.2274 d1.loss_lmm_region: 0.1005 loss_lmm_image: 0.6302 +2024/11/09 00:53:51 - mmengine - INFO - Iter(train) [148400/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:27:47 time: 1.0412 data_time: 0.0190 memory: 23700 grad_norm: 18.9794 loss: 9.1260 loss_cls: 0.2864 loss_bbox: 0.1406 loss_iou: 0.3034 d0.loss_cls: 0.3231 d0.loss_bbox: 0.1587 d0.loss_iou: 0.3244 d1.loss_cls: 0.3049 d1.loss_bbox: 0.1470 d1.loss_iou: 0.3109 d2.loss_cls: 0.2992 d2.loss_bbox: 0.1407 d2.loss_iou: 0.3043 d3.loss_cls: 0.2954 d3.loss_bbox: 0.1401 d3.loss_iou: 0.3019 d4.loss_cls: 0.2865 d4.loss_bbox: 0.1404 d4.loss_iou: 0.3048 enc_loss_cls: 0.3441 enc_loss_bbox: 0.1632 enc_loss_iou: 0.3375 dn_loss_cls: 0.0725 dn_loss_bbox: 0.1391 dn_loss_iou: 0.2143 d0.dn_loss_cls: 0.1452 d0.dn_loss_bbox: 0.2799 d0.dn_loss_iou: 0.3574 d1.dn_loss_cls: 0.0973 d1.dn_loss_bbox: 0.1728 d1.dn_loss_iou: 0.2456 d2.dn_loss_cls: 0.0845 d2.dn_loss_bbox: 0.1488 d2.dn_loss_iou: 0.2233 d3.dn_loss_cls: 0.0774 d3.dn_loss_bbox: 0.1404 d3.dn_loss_iou: 0.2157 d4.dn_loss_cls: 0.0739 d4.dn_loss_bbox: 0.1392 d4.dn_loss_iou: 0.2142 d1.loss_lmm_region: 0.0815 loss_lmm_image: 0.6452 +2024/11/09 00:55:35 - mmengine - INFO - Iter(train) [148500/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:26:03 time: 1.0478 data_time: 0.0189 memory: 23335 grad_norm: 24.1299 loss: 8.5162 loss_cls: 0.2643 loss_bbox: 0.1283 loss_iou: 0.2256 d0.loss_cls: 0.3041 d0.loss_bbox: 0.1389 d0.loss_iou: 0.2389 d1.loss_cls: 0.2875 d1.loss_bbox: 0.1333 d1.loss_iou: 0.2316 d2.loss_cls: 0.2739 d2.loss_bbox: 0.1267 d2.loss_iou: 0.2292 d3.loss_cls: 0.2684 d3.loss_bbox: 0.1268 d3.loss_iou: 0.2278 d4.loss_cls: 0.2642 d4.loss_bbox: 0.1295 d4.loss_iou: 0.2272 enc_loss_cls: 0.3169 enc_loss_bbox: 0.1503 enc_loss_iou: 0.2545 dn_loss_cls: 0.0953 dn_loss_bbox: 0.1429 dn_loss_iou: 0.2087 d0.dn_loss_cls: 0.1925 d0.dn_loss_bbox: 0.2941 d0.dn_loss_iou: 0.3539 d1.dn_loss_cls: 0.1355 d1.dn_loss_bbox: 0.1752 d1.dn_loss_iou: 0.2391 d2.dn_loss_cls: 0.1131 d2.dn_loss_bbox: 0.1504 d2.dn_loss_iou: 0.2158 d3.dn_loss_cls: 0.1013 d3.dn_loss_bbox: 0.1437 d3.dn_loss_iou: 0.2098 d4.dn_loss_cls: 0.0955 d4.dn_loss_bbox: 0.1427 d4.dn_loss_iou: 0.2084 d1.loss_lmm_region: 0.1052 loss_lmm_image: 0.6453 +2024/11/09 00:57:18 - mmengine - INFO - Iter(train) [148600/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:24:19 time: 1.0352 data_time: 0.0190 memory: 23693 grad_norm: 18.2525 loss: 8.1610 loss_cls: 0.2741 loss_bbox: 0.1279 loss_iou: 0.2330 d0.loss_cls: 0.3005 d0.loss_bbox: 0.1430 d0.loss_iou: 0.2481 d1.loss_cls: 0.2880 d1.loss_bbox: 0.1335 d1.loss_iou: 0.2352 d2.loss_cls: 0.2819 d2.loss_bbox: 0.1308 d2.loss_iou: 0.2345 d3.loss_cls: 0.2791 d3.loss_bbox: 0.1278 d3.loss_iou: 0.2321 d4.loss_cls: 0.2739 d4.loss_bbox: 0.1287 d4.loss_iou: 0.2325 enc_loss_cls: 0.3188 enc_loss_bbox: 0.1561 enc_loss_iou: 0.2703 dn_loss_cls: 0.0632 dn_loss_bbox: 0.1336 dn_loss_iou: 0.1866 d0.dn_loss_cls: 0.1447 d0.dn_loss_bbox: 0.2705 d0.dn_loss_iou: 0.3342 d1.dn_loss_cls: 0.0927 d1.dn_loss_bbox: 0.1650 d1.dn_loss_iou: 0.2188 d2.dn_loss_cls: 0.0751 d2.dn_loss_bbox: 0.1427 d2.dn_loss_iou: 0.1948 d3.dn_loss_cls: 0.0694 d3.dn_loss_bbox: 0.1356 d3.dn_loss_iou: 0.1882 d4.dn_loss_cls: 0.0650 d4.dn_loss_bbox: 0.1337 d4.dn_loss_iou: 0.1866 d1.loss_lmm_region: 0.0948 loss_lmm_image: 0.6160 +2024/11/09 00:59:02 - mmengine - INFO - Iter(train) [148700/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:22:35 time: 1.0214 data_time: 0.0192 memory: 24506 grad_norm: 18.5450 loss: 8.8092 loss_cls: 0.2910 loss_bbox: 0.1287 loss_iou: 0.2509 d0.loss_cls: 0.3237 d0.loss_bbox: 0.1441 d0.loss_iou: 0.2678 d1.loss_cls: 0.3066 d1.loss_bbox: 0.1351 d1.loss_iou: 0.2583 d2.loss_cls: 0.3025 d2.loss_bbox: 0.1302 d2.loss_iou: 0.2523 d3.loss_cls: 0.2973 d3.loss_bbox: 0.1283 d3.loss_iou: 0.2512 d4.loss_cls: 0.2927 d4.loss_bbox: 0.1294 d4.loss_iou: 0.2511 enc_loss_cls: 0.3482 enc_loss_bbox: 0.1584 enc_loss_iou: 0.2882 dn_loss_cls: 0.0806 dn_loss_bbox: 0.1465 dn_loss_iou: 0.2057 d0.dn_loss_cls: 0.1621 d0.dn_loss_bbox: 0.2917 d0.dn_loss_iou: 0.3567 d1.dn_loss_cls: 0.1084 d1.dn_loss_bbox: 0.1852 d1.dn_loss_iou: 0.2403 d2.dn_loss_cls: 0.0934 d2.dn_loss_bbox: 0.1579 d2.dn_loss_iou: 0.2151 d3.dn_loss_cls: 0.0860 d3.dn_loss_bbox: 0.1480 d3.dn_loss_iou: 0.2073 d4.dn_loss_cls: 0.0816 d4.dn_loss_bbox: 0.1465 d4.dn_loss_iou: 0.2055 d1.loss_lmm_region: 0.0940 loss_lmm_image: 0.6606 +2024/11/09 01:00:45 - mmengine - INFO - Iter(train) [148800/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:20:50 time: 1.0343 data_time: 0.0190 memory: 24460 grad_norm: 22.8645 loss: 8.0366 loss_cls: 0.2703 loss_bbox: 0.1135 loss_iou: 0.2483 d0.loss_cls: 0.2989 d0.loss_bbox: 0.1259 d0.loss_iou: 0.2654 d1.loss_cls: 0.2857 d1.loss_bbox: 0.1188 d1.loss_iou: 0.2555 d2.loss_cls: 0.2822 d2.loss_bbox: 0.1151 d2.loss_iou: 0.2513 d3.loss_cls: 0.2749 d3.loss_bbox: 0.1118 d3.loss_iou: 0.2471 d4.loss_cls: 0.2709 d4.loss_bbox: 0.1143 d4.loss_iou: 0.2480 enc_loss_cls: 0.3194 enc_loss_bbox: 0.1347 enc_loss_iou: 0.2781 dn_loss_cls: 0.0608 dn_loss_bbox: 0.1226 dn_loss_iou: 0.1887 d0.dn_loss_cls: 0.1385 d0.dn_loss_bbox: 0.2553 d0.dn_loss_iou: 0.3210 d1.dn_loss_cls: 0.0912 d1.dn_loss_bbox: 0.1533 d1.dn_loss_iou: 0.2183 d2.dn_loss_cls: 0.0766 d2.dn_loss_bbox: 0.1340 d2.dn_loss_iou: 0.1970 d3.dn_loss_cls: 0.0650 d3.dn_loss_bbox: 0.1247 d3.dn_loss_iou: 0.1898 d4.dn_loss_cls: 0.0616 d4.dn_loss_bbox: 0.1227 d4.dn_loss_iou: 0.1888 d1.loss_lmm_region: 0.0843 loss_lmm_image: 0.6124 +2024/11/09 01:02:29 - mmengine - INFO - Iter(train) [148900/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:19:06 time: 1.0326 data_time: 0.0191 memory: 24167 grad_norm: 18.5171 loss: 9.3503 loss_cls: 0.3173 loss_bbox: 0.1505 loss_iou: 0.3093 d0.loss_cls: 0.3504 d0.loss_bbox: 0.1616 d0.loss_iou: 0.3295 d1.loss_cls: 0.3320 d1.loss_bbox: 0.1549 d1.loss_iou: 0.3164 d2.loss_cls: 0.3214 d2.loss_bbox: 0.1546 d2.loss_iou: 0.3166 d3.loss_cls: 0.3232 d3.loss_bbox: 0.1505 d3.loss_iou: 0.3093 d4.loss_cls: 0.3181 d4.loss_bbox: 0.1500 d4.loss_iou: 0.3088 enc_loss_cls: 0.3632 enc_loss_bbox: 0.1749 enc_loss_iou: 0.3456 dn_loss_cls: 0.0628 dn_loss_bbox: 0.1295 dn_loss_iou: 0.2193 d0.dn_loss_cls: 0.1521 d0.dn_loss_bbox: 0.2516 d0.dn_loss_iou: 0.3595 d1.dn_loss_cls: 0.0950 d1.dn_loss_bbox: 0.1570 d1.dn_loss_iou: 0.2488 d2.dn_loss_cls: 0.0761 d2.dn_loss_bbox: 0.1383 d2.dn_loss_iou: 0.2274 d3.dn_loss_cls: 0.0686 d3.dn_loss_bbox: 0.1308 d3.dn_loss_iou: 0.2205 d4.dn_loss_cls: 0.0637 d4.dn_loss_bbox: 0.1295 d4.dn_loss_iou: 0.2193 d1.loss_lmm_region: 0.1033 loss_lmm_image: 0.6387 +2024/11/09 01:04:12 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/09 01:04:12 - mmengine - INFO - Iter(train) [149000/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:17:22 time: 1.0252 data_time: 0.0190 memory: 23619 grad_norm: 18.3184 loss: 8.3238 loss_cls: 0.2469 loss_bbox: 0.1285 loss_iou: 0.2425 d0.loss_cls: 0.2677 d0.loss_bbox: 0.1422 d0.loss_iou: 0.2591 d1.loss_cls: 0.2600 d1.loss_bbox: 0.1301 d1.loss_iou: 0.2481 d2.loss_cls: 0.2505 d2.loss_bbox: 0.1300 d2.loss_iou: 0.2453 d3.loss_cls: 0.2470 d3.loss_bbox: 0.1293 d3.loss_iou: 0.2431 d4.loss_cls: 0.2482 d4.loss_bbox: 0.1285 d4.loss_iou: 0.2418 enc_loss_cls: 0.2825 enc_loss_bbox: 0.1503 enc_loss_iou: 0.2731 dn_loss_cls: 0.0684 dn_loss_bbox: 0.1530 dn_loss_iou: 0.2162 d0.dn_loss_cls: 0.1448 d0.dn_loss_bbox: 0.2878 d0.dn_loss_iou: 0.3549 d1.dn_loss_cls: 0.0962 d1.dn_loss_bbox: 0.1793 d1.dn_loss_iou: 0.2460 d2.dn_loss_cls: 0.0801 d2.dn_loss_bbox: 0.1614 d2.dn_loss_iou: 0.2243 d3.dn_loss_cls: 0.0726 d3.dn_loss_bbox: 0.1544 d3.dn_loss_iou: 0.2173 d4.dn_loss_cls: 0.0690 d4.dn_loss_bbox: 0.1529 d4.dn_loss_iou: 0.2161 d1.loss_lmm_region: 0.0903 loss_lmm_image: 0.6444 +2024/11/09 01:05:54 - mmengine - INFO - Iter(train) [149100/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:15:38 time: 1.0239 data_time: 0.0189 memory: 24169 grad_norm: 20.2321 loss: 8.1113 loss_cls: 0.2442 loss_bbox: 0.1156 loss_iou: 0.2214 d0.loss_cls: 0.2705 d0.loss_bbox: 0.1247 d0.loss_iou: 0.2390 d1.loss_cls: 0.2607 d1.loss_bbox: 0.1180 d1.loss_iou: 0.2268 d2.loss_cls: 0.2495 d2.loss_bbox: 0.1183 d2.loss_iou: 0.2233 d3.loss_cls: 0.2459 d3.loss_bbox: 0.1165 d3.loss_iou: 0.2227 d4.loss_cls: 0.2445 d4.loss_bbox: 0.1147 d4.loss_iou: 0.2220 enc_loss_cls: 0.2870 enc_loss_bbox: 0.1352 enc_loss_iou: 0.2492 dn_loss_cls: 0.0727 dn_loss_bbox: 0.1541 dn_loss_iou: 0.2133 d0.dn_loss_cls: 0.1612 d0.dn_loss_bbox: 0.3190 d0.dn_loss_iou: 0.3655 d1.dn_loss_cls: 0.1038 d1.dn_loss_bbox: 0.1845 d1.dn_loss_iou: 0.2449 d2.dn_loss_cls: 0.0865 d2.dn_loss_bbox: 0.1600 d2.dn_loss_iou: 0.2204 d3.dn_loss_cls: 0.0779 d3.dn_loss_bbox: 0.1537 d3.dn_loss_iou: 0.2143 d4.dn_loss_cls: 0.0736 d4.dn_loss_bbox: 0.1540 d4.dn_loss_iou: 0.2134 d1.loss_lmm_region: 0.1009 loss_lmm_image: 0.5881 +2024/11/09 01:07:37 - mmengine - INFO - Iter(train) [149200/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:13:53 time: 1.0325 data_time: 0.0189 memory: 23776 grad_norm: 19.0992 loss: 7.4249 loss_cls: 0.2318 loss_bbox: 0.1094 loss_iou: 0.1934 d0.loss_cls: 0.2570 d0.loss_bbox: 0.1289 d0.loss_iou: 0.2186 d1.loss_cls: 0.2513 d1.loss_bbox: 0.1134 d1.loss_iou: 0.2017 d2.loss_cls: 0.2351 d2.loss_bbox: 0.1133 d2.loss_iou: 0.1986 d3.loss_cls: 0.2329 d3.loss_bbox: 0.1108 d3.loss_iou: 0.1950 d4.loss_cls: 0.2346 d4.loss_bbox: 0.1071 d4.loss_iou: 0.1917 enc_loss_cls: 0.2759 enc_loss_bbox: 0.1392 enc_loss_iou: 0.2346 dn_loss_cls: 0.0639 dn_loss_bbox: 0.1228 dn_loss_iou: 0.1854 d0.dn_loss_cls: 0.1441 d0.dn_loss_bbox: 0.2573 d0.dn_loss_iou: 0.3260 d1.dn_loss_cls: 0.0897 d1.dn_loss_bbox: 0.1520 d1.dn_loss_iou: 0.2153 d2.dn_loss_cls: 0.0756 d2.dn_loss_bbox: 0.1301 d2.dn_loss_iou: 0.1934 d3.dn_loss_cls: 0.0675 d3.dn_loss_bbox: 0.1239 d3.dn_loss_iou: 0.1865 d4.dn_loss_cls: 0.0644 d4.dn_loss_bbox: 0.1228 d4.dn_loss_iou: 0.1853 d1.loss_lmm_region: 0.0875 loss_lmm_image: 0.6567 +2024/11/09 01:09:20 - mmengine - INFO - Iter(train) [149300/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:12:09 time: 1.0342 data_time: 0.0190 memory: 24147 grad_norm: 19.9094 loss: 9.0247 loss_cls: 0.2678 loss_bbox: 0.1424 loss_iou: 0.2800 d0.loss_cls: 0.3092 d0.loss_bbox: 0.1562 d0.loss_iou: 0.2910 d1.loss_cls: 0.2927 d1.loss_bbox: 0.1459 d1.loss_iou: 0.2819 d2.loss_cls: 0.2812 d2.loss_bbox: 0.1433 d2.loss_iou: 0.2811 d3.loss_cls: 0.2778 d3.loss_bbox: 0.1411 d3.loss_iou: 0.2812 d4.loss_cls: 0.2694 d4.loss_bbox: 0.1428 d4.loss_iou: 0.2806 enc_loss_cls: 0.3284 enc_loss_bbox: 0.1625 enc_loss_iou: 0.3055 dn_loss_cls: 0.0852 dn_loss_bbox: 0.1616 dn_loss_iou: 0.2068 d0.dn_loss_cls: 0.1652 d0.dn_loss_bbox: 0.2958 d0.dn_loss_iou: 0.3363 d1.dn_loss_cls: 0.1135 d1.dn_loss_bbox: 0.1938 d1.dn_loss_iou: 0.2349 d2.dn_loss_cls: 0.0980 d2.dn_loss_bbox: 0.1694 d2.dn_loss_iou: 0.2147 d3.dn_loss_cls: 0.0893 d3.dn_loss_bbox: 0.1628 d3.dn_loss_iou: 0.2079 d4.dn_loss_cls: 0.0870 d4.dn_loss_bbox: 0.1616 d4.dn_loss_iou: 0.2068 d1.loss_lmm_region: 0.1083 loss_lmm_image: 0.6639 +2024/11/09 01:11:03 - mmengine - INFO - Iter(train) [149400/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:10:25 time: 1.0418 data_time: 0.0192 memory: 23625 grad_norm: 19.9621 loss: 9.0431 loss_cls: 0.2842 loss_bbox: 0.1462 loss_iou: 0.2598 d0.loss_cls: 0.3197 d0.loss_bbox: 0.1556 d0.loss_iou: 0.2745 d1.loss_cls: 0.3015 d1.loss_bbox: 0.1497 d1.loss_iou: 0.2642 d2.loss_cls: 0.2923 d2.loss_bbox: 0.1456 d2.loss_iou: 0.2600 d3.loss_cls: 0.2887 d3.loss_bbox: 0.1468 d3.loss_iou: 0.2613 d4.loss_cls: 0.2866 d4.loss_bbox: 0.1461 d4.loss_iou: 0.2601 enc_loss_cls: 0.3452 enc_loss_bbox: 0.1580 enc_loss_iou: 0.2815 dn_loss_cls: 0.0813 dn_loss_bbox: 0.1713 dn_loss_iou: 0.2183 d0.dn_loss_cls: 0.1696 d0.dn_loss_bbox: 0.3040 d0.dn_loss_iou: 0.3577 d1.dn_loss_cls: 0.1156 d1.dn_loss_bbox: 0.2001 d1.dn_loss_iou: 0.2480 d2.dn_loss_cls: 0.0965 d2.dn_loss_bbox: 0.1789 d2.dn_loss_iou: 0.2264 d3.dn_loss_cls: 0.0857 d3.dn_loss_bbox: 0.1734 d3.dn_loss_iou: 0.2201 d4.dn_loss_cls: 0.0812 d4.dn_loss_bbox: 0.1712 d4.dn_loss_iou: 0.2184 d1.loss_lmm_region: 0.1104 loss_lmm_image: 0.5873 +2024/11/09 01:12:46 - mmengine - INFO - Iter(train) [149500/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:08:41 time: 1.0292 data_time: 0.0190 memory: 23137 grad_norm: 22.1190 loss: 9.1891 loss_cls: 0.3104 loss_bbox: 0.1385 loss_iou: 0.2747 d0.loss_cls: 0.3389 d0.loss_bbox: 0.1533 d0.loss_iou: 0.2987 d1.loss_cls: 0.3276 d1.loss_bbox: 0.1452 d1.loss_iou: 0.2859 d2.loss_cls: 0.3166 d2.loss_bbox: 0.1418 d2.loss_iou: 0.2815 d3.loss_cls: 0.3153 d3.loss_bbox: 0.1398 d3.loss_iou: 0.2778 d4.loss_cls: 0.3124 d4.loss_bbox: 0.1384 d4.loss_iou: 0.2747 enc_loss_cls: 0.3646 enc_loss_bbox: 0.1665 enc_loss_iou: 0.3127 dn_loss_cls: 0.0891 dn_loss_bbox: 0.1574 dn_loss_iou: 0.2074 d0.dn_loss_cls: 0.1629 d0.dn_loss_bbox: 0.2962 d0.dn_loss_iou: 0.3417 d1.dn_loss_cls: 0.1120 d1.dn_loss_bbox: 0.1863 d1.dn_loss_iou: 0.2358 d2.dn_loss_cls: 0.0995 d2.dn_loss_bbox: 0.1632 d2.dn_loss_iou: 0.2131 d3.dn_loss_cls: 0.0934 d3.dn_loss_bbox: 0.1580 d3.dn_loss_iou: 0.2085 d4.dn_loss_cls: 0.0894 d4.dn_loss_bbox: 0.1573 d4.dn_loss_iou: 0.2074 d1.loss_lmm_region: 0.1074 loss_lmm_image: 0.5878 +2024/11/09 01:14:29 - mmengine - INFO - Iter(train) [149600/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:06:56 time: 1.0263 data_time: 0.0192 memory: 23166 grad_norm: 20.0134 loss: 7.8877 loss_cls: 0.2430 loss_bbox: 0.1162 loss_iou: 0.2141 d0.loss_cls: 0.2754 d0.loss_bbox: 0.1285 d0.loss_iou: 0.2312 d1.loss_cls: 0.2542 d1.loss_bbox: 0.1270 d1.loss_iou: 0.2255 d2.loss_cls: 0.2475 d2.loss_bbox: 0.1211 d2.loss_iou: 0.2194 d3.loss_cls: 0.2480 d3.loss_bbox: 0.1182 d3.loss_iou: 0.2146 d4.loss_cls: 0.2442 d4.loss_bbox: 0.1181 d4.loss_iou: 0.2150 enc_loss_cls: 0.2861 enc_loss_bbox: 0.1419 enc_loss_iou: 0.2457 dn_loss_cls: 0.0724 dn_loss_bbox: 0.1498 dn_loss_iou: 0.1884 d0.dn_loss_cls: 0.1498 d0.dn_loss_bbox: 0.2917 d0.dn_loss_iou: 0.3224 d1.dn_loss_cls: 0.0984 d1.dn_loss_bbox: 0.1814 d1.dn_loss_iou: 0.2173 d2.dn_loss_cls: 0.0837 d2.dn_loss_bbox: 0.1585 d2.dn_loss_iou: 0.1947 d3.dn_loss_cls: 0.0763 d3.dn_loss_bbox: 0.1510 d3.dn_loss_iou: 0.1893 d4.dn_loss_cls: 0.0726 d4.dn_loss_bbox: 0.1498 d4.dn_loss_iou: 0.1882 d1.loss_lmm_region: 0.1053 loss_lmm_image: 0.6121 +2024/11/09 01:16:12 - mmengine - INFO - Iter(train) [149700/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:05:12 time: 1.0322 data_time: 0.0195 memory: 23550 grad_norm: 20.4560 loss: 8.1704 loss_cls: 0.2424 loss_bbox: 0.1283 loss_iou: 0.2286 d0.loss_cls: 0.2604 d0.loss_bbox: 0.1433 d0.loss_iou: 0.2444 d1.loss_cls: 0.2568 d1.loss_bbox: 0.1310 d1.loss_iou: 0.2328 d2.loss_cls: 0.2539 d2.loss_bbox: 0.1275 d2.loss_iou: 0.2287 d3.loss_cls: 0.2483 d3.loss_bbox: 0.1290 d3.loss_iou: 0.2298 d4.loss_cls: 0.2432 d4.loss_bbox: 0.1283 d4.loss_iou: 0.2287 enc_loss_cls: 0.2831 enc_loss_bbox: 0.1513 enc_loss_iou: 0.2550 dn_loss_cls: 0.0682 dn_loss_bbox: 0.1624 dn_loss_iou: 0.2071 d0.dn_loss_cls: 0.1467 d0.dn_loss_bbox: 0.3002 d0.dn_loss_iou: 0.3418 d1.dn_loss_cls: 0.0948 d1.dn_loss_bbox: 0.1908 d1.dn_loss_iou: 0.2336 d2.dn_loss_cls: 0.0801 d2.dn_loss_bbox: 0.1698 d2.dn_loss_iou: 0.2143 d3.dn_loss_cls: 0.0722 d3.dn_loss_bbox: 0.1642 d3.dn_loss_iou: 0.2083 d4.dn_loss_cls: 0.0692 d4.dn_loss_bbox: 0.1624 d4.dn_loss_iou: 0.2072 d1.loss_lmm_region: 0.0816 loss_lmm_image: 0.6206 +2024/11/09 01:17:55 - mmengine - INFO - Iter(train) [149800/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:03:28 time: 1.0336 data_time: 0.0189 memory: 23391 grad_norm: 20.0363 loss: 9.2489 loss_cls: 0.3075 loss_bbox: 0.1507 loss_iou: 0.2822 d0.loss_cls: 0.3374 d0.loss_bbox: 0.1657 d0.loss_iou: 0.3005 d1.loss_cls: 0.3193 d1.loss_bbox: 0.1650 d1.loss_iou: 0.2964 d2.loss_cls: 0.3207 d2.loss_bbox: 0.1520 d2.loss_iou: 0.2836 d3.loss_cls: 0.3163 d3.loss_bbox: 0.1514 d3.loss_iou: 0.2825 d4.loss_cls: 0.3098 d4.loss_bbox: 0.1511 d4.loss_iou: 0.2818 enc_loss_cls: 0.3587 enc_loss_bbox: 0.1747 enc_loss_iou: 0.3159 dn_loss_cls: 0.0724 dn_loss_bbox: 0.1575 dn_loss_iou: 0.2144 d0.dn_loss_cls: 0.1564 d0.dn_loss_bbox: 0.2947 d0.dn_loss_iou: 0.3478 d1.dn_loss_cls: 0.0997 d1.dn_loss_bbox: 0.1907 d1.dn_loss_iou: 0.2434 d2.dn_loss_cls: 0.0855 d2.dn_loss_bbox: 0.1659 d2.dn_loss_iou: 0.2218 d3.dn_loss_cls: 0.0758 d3.dn_loss_bbox: 0.1597 d3.dn_loss_iou: 0.2157 d4.dn_loss_cls: 0.0726 d4.dn_loss_bbox: 0.1575 d4.dn_loss_iou: 0.2143 d1.loss_lmm_region: 0.1014 loss_lmm_image: 0.5784 +2024/11/09 01:19:38 - mmengine - INFO - Iter(train) [149900/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:01:44 time: 1.0391 data_time: 0.0191 memory: 23369 grad_norm: 19.2706 loss: 8.0868 loss_cls: 0.2422 loss_bbox: 0.1351 loss_iou: 0.2395 d0.loss_cls: 0.2748 d0.loss_bbox: 0.1429 d0.loss_iou: 0.2526 d1.loss_cls: 0.2598 d1.loss_bbox: 0.1364 d1.loss_iou: 0.2439 d2.loss_cls: 0.2520 d2.loss_bbox: 0.1355 d2.loss_iou: 0.2377 d3.loss_cls: 0.2435 d3.loss_bbox: 0.1391 d3.loss_iou: 0.2408 d4.loss_cls: 0.2434 d4.loss_bbox: 0.1345 d4.loss_iou: 0.2390 enc_loss_cls: 0.2882 enc_loss_bbox: 0.1566 enc_loss_iou: 0.2718 dn_loss_cls: 0.0490 dn_loss_bbox: 0.1437 dn_loss_iou: 0.2022 d0.dn_loss_cls: 0.1392 d0.dn_loss_bbox: 0.2916 d0.dn_loss_iou: 0.3460 d1.dn_loss_cls: 0.0793 d1.dn_loss_bbox: 0.1780 d1.dn_loss_iou: 0.2347 d2.dn_loss_cls: 0.0604 d2.dn_loss_bbox: 0.1526 d2.dn_loss_iou: 0.2100 d3.dn_loss_cls: 0.0528 d3.dn_loss_bbox: 0.1455 d3.dn_loss_iou: 0.2036 d4.dn_loss_cls: 0.0491 d4.dn_loss_bbox: 0.1436 d4.dn_loss_iou: 0.2021 d1.loss_lmm_region: 0.0871 loss_lmm_image: 0.6070 +2024/11/09 01:21:21 - mmengine - INFO - Exp name: grounding_dino_swin_t_3_20241107_031101 +2024/11/09 01:21:21 - mmengine - INFO - Iter(train) [150000/150000] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:00:00 time: 1.0333 data_time: 0.0190 memory: 22731 grad_norm: 18.0921 loss: 9.2068 loss_cls: 0.2887 loss_bbox: 0.1585 loss_iou: 0.2478 d0.loss_cls: 0.3374 d0.loss_bbox: 0.1578 d0.loss_iou: 0.2528 d1.loss_cls: 0.3190 d1.loss_bbox: 0.1495 d1.loss_iou: 0.2445 d2.loss_cls: 0.3068 d2.loss_bbox: 0.1505 d2.loss_iou: 0.2435 d3.loss_cls: 0.2917 d3.loss_bbox: 0.1562 d3.loss_iou: 0.2473 d4.loss_cls: 0.2901 d4.loss_bbox: 0.1569 d4.loss_iou: 0.2462 enc_loss_cls: 0.3509 enc_loss_bbox: 0.1752 enc_loss_iou: 0.2716 dn_loss_cls: 0.0750 dn_loss_bbox: 0.1804 dn_loss_iou: 0.2177 d0.dn_loss_cls: 0.1701 d0.dn_loss_bbox: 0.3513 d0.dn_loss_iou: 0.3681 d1.dn_loss_cls: 0.1073 d1.dn_loss_bbox: 0.2215 d1.dn_loss_iou: 0.2519 d2.dn_loss_cls: 0.0890 d2.dn_loss_bbox: 0.1915 d2.dn_loss_iou: 0.2278 d3.dn_loss_cls: 0.0791 d3.dn_loss_bbox: 0.1816 d3.dn_loss_iou: 0.2195 d4.dn_loss_cls: 0.0755 d4.dn_loss_bbox: 0.1804 d4.dn_loss_iou: 0.2178 d1.loss_lmm_region: 0.1102 loss_lmm_image: 0.6477 +2024/11/09 01:21:22 - mmengine - INFO - Saving checkpoint at 150000 iterations +2024/11/09 01:30:44 - mmengine - INFO - Iter(val) [100/602] eta: 0:18:21 time: 2.3171 data_time: 0.0016 memory: 5362 +2024/11/09 01:35:08 - mmengine - INFO - Iter(val) [200/602] eta: 0:16:12 time: 2.7664 data_time: 0.0016 memory: 5371 +2024/11/09 01:40:23 - mmengine - INFO - Iter(val) [300/602] eta: 0:13:24 time: 3.2533 data_time: 0.0017 memory: 5366 +2024/11/09 01:46:30 - mmengine - INFO - Iter(val) [400/602] eta: 0:09:48 time: 3.7982 data_time: 0.0017 memory: 5371 +2024/11/09 01:53:15 - mmengine - INFO - Iter(val) [500/602] eta: 0:05:20 time: 4.1905 data_time: 0.0017 memory: 5357 +2024/11/09 02:00:45 - mmengine - INFO - Iter(val) [600/602] eta: 0:00:06 time: 4.4582 data_time: 0.0018 memory: 5371 +2024/11/09 02:07:14 - mmengine - INFO - +=== +53 classes had less than 10000 detections! + Outputting 10000 detections for each class will improve AP further. + === +2024/11/09 02:09:34 - mmengine - INFO - mAP_copypaste: {'AP': 0.44700865360872616, 'AP50': 0.558755796401128, 'AP75': 0.4740192249692484, 'APs': 0.4061901679981639, 'APm': 0.5744322049540179, 'APl': 0.6390855307360367, 'APr': 0.3727725864482411, 'APc': 0.39476420005710805, 'APf': 0.5067023841396827} +2024/11/09 02:09:59 - mmengine - INFO - Iter(val) [602/602] lvis_fixed_ap/AP: 0.4470 lvis_fixed_ap/AP50: 0.5588 lvis_fixed_ap/AP75: 0.4740 lvis_fixed_ap/APs: 0.4062 lvis_fixed_ap/APm: 0.5744 lvis_fixed_ap/APl: 0.6391 lvis_fixed_ap/APr: 0.3728 lvis_fixed_ap/APc: 0.3948 lvis_fixed_ap/APf: 0.5067 data_time: 0.0018 time: 3.3718