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_COCOv6-rv3_1
+  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_COCOv6-rv3_1
+
+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: 0.0826
+- Meteor Score: {'meteor': 0.6746774802010816}
+
+## 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: 6
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 16
+- total_train_batch_size: 96
+- 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_with_restarts
+- lr_scheduler_warmup_steps: 50
+- num_epochs: 20
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Meteor Score                   |
+|:-------------:|:-----:|:----:|:---------------:|:------------------------------:|
+| 0.4323        | 5.0   | 5    | 0.0867          | {'meteor': 0.6797998521731264} |
+| 0.4186        | 10.0  | 10   | 0.0853          | {'meteor': 0.6817282186079441} |
+| 0.3905        | 15.0  | 15   | 0.0839          | {'meteor': 0.6795271329137034} |
+| 0.351         | 20.0  | 20   | 0.0826          | {'meteor': 0.6746774802010816} |
+
+
+### Framework versions
+
+- Transformers 4.46.1
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.20.2

generation_config.json

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+{
+  "_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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 size 1576851440

runs/Jul19_07-13-02_OZPC/events.out.tfevents.1752930785.OZPC.5052.9

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