Model save

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: nlpconnect/vit-gpt2-image-captioning
+tags:
+- generated_from_trainer
+metrics:
+- bleu
+model-index:
+- name: medical-caption-model-v1
+  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. -->
+
+# medical-caption-model-v1
+
+This model is a fine-tuned version of [nlpconnect/vit-gpt2-image-captioning](https://huggingface.co/nlpconnect/vit-gpt2-image-captioning) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 5.0189
+- Bleu: 0.0332
+- Meteor: 5.8196
+- Rougel: 10.2378
+
+## 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: 5e-05
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 32
+- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 10
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Bleu   | Meteor | Rougel  |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:-------:|
+| 5.1913        | 2.0   | 200  | 5.2321          | 0.0396 | 7.0115 | 10.6658 |
+| 4.6615        | 4.0   | 400  | 4.9947          | 0.0495 | 6.1088 | 10.9570 |
+| 4.3567        | 6.0   | 600  | 4.9261          | 0.0384 | 5.7674 | 11.0691 |
+| 4.0884        | 8.0   | 800  | 4.9632          | 0.0344 | 5.9190 | 10.6889 |
+| 3.9311        | 10.0  | 1000 | 5.0189          | 0.0332 | 5.8196 | 10.2378 |
+
+
+### Framework versions
+
+- Transformers 4.56.1
+- Pytorch 2.8.0+cu126
+- Datasets 4.0.0
+- Tokenizers 0.22.0

generation_config.json

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+{
+  "bos_token_id": 50256,
+  "decoder_start_token_id": 50256,
+  "eos_token_id": 50256,
+  "pad_token_id": 50256,
+  "transformers_version": "4.56.1"
+}

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runs/Sep12_15-38-22_b15aef01be1c/events.out.tfevents.1757691504.b15aef01be1c.906.0

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