metadata

library_name: transformers
license: gemma
base_model: vidore/colpaligemma-3b-pt-448-base
tags:
  - generated_from_trainer
model-index:
  - name: finetune_colpali_pierre-4bit
    results: []

finetune_colpali_pierre-4bit

This model is a fine-tuned version of vidore/colpaligemma-3b-pt-448-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.6351
Model Preparation Time: 0.0053

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: 1

Training results

Framework versions

Transformers 4.46.3
Pytorch 2.5.1+cu124
Datasets 3.1.0
Tokenizers 0.20.3