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: 0.2877
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
