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--- |
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library_name: transformers |
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license: gemma |
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base_model: vidore/colpaligemma-3b-pt-448-base |
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tags: |
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- colpali |
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- generated_from_trainer |
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model-index: |
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- name: checkpoints |
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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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# checkpoints |
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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 ferferefer/colpali_prueba dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0147 |
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- Model Preparation Time: 0.0064 |
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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: 5e-05 |
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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 OptimizerNames.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: 1.5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Model Preparation Time | |
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|:-------------:|:------:|:----:|:---------------:|:----------------------:| |
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| No log | 0.0034 | 1 | 0.0574 | 0.0064 | |
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| 0.0116 | 0.3404 | 100 | 0.0284 | 0.0064 | |
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| 0.0061 | 0.6809 | 200 | 0.0278 | 0.0064 | |
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| 0.0043 | 1.0204 | 300 | 0.0170 | 0.0064 | |
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| 0.0135 | 1.3609 | 400 | 0.0167 | 0.0064 | |
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### Framework versions |
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- Transformers 4.47.1 |
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- Pytorch 2.4.1+cu121 |
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- Datasets 3.3.2 |
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- Tokenizers 0.21.0 |
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