| library_name: peft | |
| license: gemma | |
| base_model: vidore/colpaligemma-3b-pt-448-base | |
| tags: | |
| - colpali-finetuned | |
| - generated_from_trainer | |
| model-index: | |
| - name: checkpoints-2-epochs | |
| 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. --> | |
| # checkpoints-2-epochs | |
| 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. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.3171 | |
| ## 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: 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: linear | |
| - lr_scheduler_warmup_steps: 100 | |
| - num_epochs: 8 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | | |
| |:-------------:|:------:|:----:|:---------------:| | |
| | No log | 0.0103 | 1 | 0.3835 | | |
| | 0.0863 | 5.1436 | 500 | 0.3171 | | |
| ### Framework versions | |
| - PEFT 0.15.2 | |
| - Transformers 4.51.3 | |
| - Pytorch 2.7.1+cu126 | |
| - Datasets 3.6.0 | |
| - Tokenizers 0.21.1 |