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