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version1_2-2epochs-fromBD

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colpali-finetuned
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metadata
library_name: peft
license: gemma
base_model: vidore/colpaligemma-3b-pt-448-base
tags:
  - colpali-finetuned
  - generated_from_trainer
model-index:
  - name: version1_2-2epochs-fromBD
    results: []

version1_2-2epochs-fromBD

This model is a fine-tuned version of 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: 0.3058

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: 2

Training results

Training Loss Epoch Step Validation Loss
No log 0.0103 1 0.3660
0.1491 1.0205 100 0.3058

Framework versions

  • PEFT 0.15.2
  • Transformers 4.51.3
  • Pytorch 2.7.1+cu126
  • Datasets 3.6.0
  • Tokenizers 0.21.1