from 388 checkpoint
Browse files- README.md +4 -1
- adapter_model.safetensors +1 -1
- trainer_state.json +90 -12
- training_args.bin +1 -1
README.md
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# checkpoints-2-epochs
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This model is a fine-tuned version of [vidore/colpaligemma-3b-pt-448-base](https://huggingface.co/vidore/colpaligemma-3b-pt-448-base) on the 3sara/validated_colpali_italian_documents_with_images dataset.
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## Model description
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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: linear
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- lr_scheduler_warmup_steps: 100
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- num_epochs:
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| No log | 0.0103 | 1 | 0.3835 |
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### Framework versions
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# checkpoints-2-epochs
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This model is a fine-tuned version of [vidore/colpaligemma-3b-pt-448-base](https://huggingface.co/vidore/colpaligemma-3b-pt-448-base) on the 3sara/validated_colpali_italian_documents_with_images dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3171
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## Model description
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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: linear
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- lr_scheduler_warmup_steps: 100
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- num_epochs: 6
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| No log | 0.0103 | 1 | 0.3835 |
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| 0.0863 | 5.1436 | 500 | 0.3171 |
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### Framework versions
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adapter_model.safetensors
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