| --- |
| library_name: transformers |
| license: other |
| base_model: google/medsiglip-448 |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: medsiglip-448-ft-carisbo-prova |
| 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. --> |
|
|
| # medsiglip-448-ft-carisbo-prova |
|
|
| This model is a fine-tuned version of [google/medsiglip-448](https://huggingface.co/google/medsiglip-448) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 2.0453 |
|
|
| ## 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 |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
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|
| The following hyperparameters were used during training: |
| - learning_rate: 0.0001 |
| - train_batch_size: 4 |
| - eval_batch_size: 4 |
| - seed: 42 |
| - gradient_accumulation_steps: 4 |
| - total_train_batch_size: 16 |
| - 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 |
| - lr_scheduler_warmup_steps: 5 |
| - num_epochs: 2 |
|
|
| ### Training results |
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|
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 1.861 | 1.576 | 50 | 2.0453 | |
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| ### Framework versions |
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|
| - Transformers 4.57.3 |
| - Pytorch 2.7.1+cu126 |
| - Datasets 4.3.0 |
| - Tokenizers 0.22.2 |
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|
