End of training

README.md

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+---
+library_name: transformers
+license: mit
+base_model: microsoft/git-large-r-coco
+tags:
+- generated_from_trainer
+datasets:
+- imagefolder
+model-index:
+- name: git-large-r-coco-IDB_ADv1_COCOv3
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# git-large-r-coco-IDB_ADv1_COCOv3
+
+This model is a fine-tuned version of [microsoft/git-large-r-coco](https://huggingface.co/microsoft/git-large-r-coco) on the imagefolder dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0966
+- Meteor Score: {'meteor': 0.5408938263795505}
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 3e-05
+- train_batch_size: 128
+- eval_batch_size: 128
+- seed: 42
+- gradient_accumulation_steps: 32
+- total_train_batch_size: 4096
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: cosine
+- num_epochs: 200
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Meteor Score                    |
+|:-------------:|:-----:|:----:|:---------------:|:-------------------------------:|
+| 3.2229        | 5.0   | 5    | 2.9789          | {'meteor': 0.41552282487414405} |
+| 2.9387        | 10.0  | 10   | 2.6142          | {'meteor': 0.4685053939421483}  |
+| 2.592         | 15.0  | 15   | 2.2978          | {'meteor': 0.4849322756130674}  |
+| 2.2751        | 20.0  | 20   | 2.0019          | {'meteor': 0.47420638870259907} |
+| 1.9738        | 25.0  | 25   | 1.7167          | {'meteor': 0.48640146159813924} |
+| 1.6877        | 30.0  | 30   | 1.4518          | {'meteor': 0.4898083781551464}  |
+| 1.4214        | 35.0  | 35   | 1.2094          | {'meteor': 0.487939608237839}   |
+| 1.1769        | 40.0  | 40   | 0.9923          | {'meteor': 0.4980774326833536}  |
+| 0.9592        | 45.0  | 45   | 0.8040          | {'meteor': 0.488335711225997}   |
+| 0.7699        | 50.0  | 50   | 0.6462          | {'meteor': 0.4919465483035675}  |
+| 0.6114        | 55.0  | 55   | 0.5181          | {'meteor': 0.4887190822781368}  |
+| 0.481         | 60.0  | 60   | 0.4133          | {'meteor': 0.4908850956442714}  |
+| 0.3752        | 65.0  | 65   | 0.3325          | {'meteor': 0.49324244604306894} |
+| 0.2921        | 70.0  | 70   | 0.2705          | {'meteor': 0.49568446461184845} |
+| 0.2272        | 75.0  | 75   | 0.2250          | {'meteor': 0.49361056097084616} |
+| 0.1776        | 80.0  | 80   | 0.1931          | {'meteor': 0.5018863491081054}  |
+| 0.1404        | 85.0  | 85   | 0.1653          | {'meteor': 0.506990680377092}   |
+| 0.1118        | 90.0  | 90   | 0.1468          | {'meteor': 0.5071567168395572}  |
+| 0.0913        | 95.0  | 95   | 0.1296          | {'meteor': 0.5019147249270115}  |
+| 0.0738        | 100.0 | 100  | 0.1212          | {'meteor': 0.5151563978937971}  |
+| 0.06          | 105.0 | 105  | 0.1144          | {'meteor': 0.5254092884094786}  |
+| 0.0494        | 110.0 | 110  | 0.1100          | {'meteor': 0.5258164560531304}  |
+| 0.0413        | 115.0 | 115  | 0.1046          | {'meteor': 0.5305386302193077}  |
+| 0.035         | 120.0 | 120  | 0.1005          | {'meteor': 0.5405955416808903}  |
+| 0.0301        | 125.0 | 125  | 0.1009          | {'meteor': 0.5326314473682981}  |
+| 0.0262        | 130.0 | 130  | 0.1016          | {'meteor': 0.5466195008617952}  |
+| 0.0233        | 135.0 | 135  | 0.0991          | {'meteor': 0.5463553955219586}  |
+| 0.0211        | 140.0 | 140  | 0.0987          | {'meteor': 0.543975966495889}   |
+| 0.0193        | 145.0 | 145  | 0.0979          | {'meteor': 0.5269418821882673}  |
+| 0.0179        | 150.0 | 150  | 0.0990          | {'meteor': 0.5384964361269092}  |
+| 0.0169        | 155.0 | 155  | 0.0985          | {'meteor': 0.5374634680447925}  |
+| 0.0161        | 160.0 | 160  | 0.0962          | {'meteor': 0.5296357754808179}  |
+| 0.0155        | 165.0 | 165  | 0.0968          | {'meteor': 0.5335376085825252}  |
+| 0.0151        | 170.0 | 170  | 0.0965          | {'meteor': 0.5426897117754873}  |
+| 0.0148        | 175.0 | 175  | 0.0971          | {'meteor': 0.5435169793620099}  |
+| 0.0146        | 180.0 | 180  | 0.0972          | {'meteor': 0.5432382041598678}  |
+| 0.0145        | 185.0 | 185  | 0.0969          | {'meteor': 0.5413175577245792}  |
+| 0.0144        | 190.0 | 190  | 0.0967          | {'meteor': 0.5412533872506878}  |
+| 0.0143        | 195.0 | 195  | 0.0966          | {'meteor': 0.5407676909570709}  |
+| 0.0143        | 200.0 | 200  | 0.0966          | {'meteor': 0.5408938263795505}  |
+
+
+### Framework versions
+
+- Transformers 4.46.1
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.20.2

generation_config.json

@@ -0,0 +1,7 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 101,
+  "eos_token_id": 102,
+  "pad_token_id": 0,
+  "transformers_version": "4.46.1"
+}

model.safetensors

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