--- library_name: transformers license: gemma base_model: vidore/colpaligemma-3b-pt-448-base tags: - colpali - generated_from_trainer datasets: - generator model-index: - name: finetune_colpali_v1_2_fm results: [] --- # finetune_colpali_v1_2_fm 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 fm dataset. It achieves the following results on the evaluation set: - Loss: 0.1621 ## 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: 32 - eval_batch_size: 32 - seed: 42 - gradient_accumulation_steps: 2 - total_train_batch_size: 64 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - lr_scheduler_warmup_steps: 100 - num_epochs: 5 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | No log | 1.0 | 1 | 0.1707 | ### Framework versions - Transformers 4.45.2 - Pytorch 2.2.0 - Datasets 3.0.2 - Tokenizers 0.20.1