finetune_colpali_v1_2_fm

This model is a fine-tuned version of 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