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--- |
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library_name: transformers |
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license: other |
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base_model: facebook/mask2former-swin-tiny-coco-instance |
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tags: |
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- image-segmentation |
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- instance-segmentation |
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- vision |
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- generated_from_trainer |
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model-index: |
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- name: finetune-instance-segmentation-posture |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# finetune-instance-segmentation-posture |
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This model is a fine-tuned version of [facebook/mask2former-swin-tiny-coco-instance](https://huggingface.co/facebook/mask2former-swin-tiny-coco-instance) on the qubvel-hf/ade20k-mini dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 30.5625 |
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- Map: 0.2089 |
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- Map 50: 0.4081 |
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- Map 75: 0.1963 |
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- Map Small: 0.1412 |
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- Map Medium: 0.6277 |
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- Map Large: 0.8115 |
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- Mar 1: 0.0944 |
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- Mar 10: 0.25 |
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- Mar 100: 0.2879 |
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- Mar Small: 0.2137 |
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- Mar Medium: 0.7147 |
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- Mar Large: 0.8531 |
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- Map Person: 0.1381 |
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- Mar 100 Person: 0.2036 |
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- Map Car: 0.2797 |
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- Mar 100 Car: 0.3722 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 1e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 16 |
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: constant |
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- num_epochs: 2.0 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Map | Map 50 | Map 75 | Map Small | Map Medium | Map Large | Mar 1 | Mar 10 | Mar 100 | Mar Small | Mar Medium | Mar Large | Map Person | Mar 100 Person | Map Car | Mar 100 Car | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:----------:|:---------:|:------:|:------:|:-------:|:---------:|:----------:|:---------:|:----------:|:--------------:|:-------:|:-----------:| |
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| 34.1337 | 1.0 | 100 | 32.3431 | 0.1958 | 0.3913 | 0.181 | 0.1319 | 0.6051 | 0.7775 | 0.0924 | 0.2465 | 0.2845 | 0.2104 | 0.7094 | 0.8587 | 0.1243 | 0.2001 | 0.2673 | 0.3689 | |
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| 28.4514 | 2.0 | 200 | 30.5625 | 0.2089 | 0.4081 | 0.1963 | 0.1412 | 0.6277 | 0.8115 | 0.0944 | 0.25 | 0.2879 | 0.2137 | 0.7147 | 0.8531 | 0.1381 | 0.2036 | 0.2797 | 0.3722 | |
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### Framework versions |
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- Transformers 4.47.0.dev0 |
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- Pytorch 2.3.1+cu121 |
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- Datasets 3.0.2 |
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- Tokenizers 0.20.1 |
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