metadata

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 on the vidore/vdsid_french dataset. It achieves the following results on the evaluation set:

Loss: 0.4369
Model Preparation Time: 0.0048

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: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 4
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
num_epochs: 1.5

Training results

Training Loss	Epoch	Step	Validation Loss	Model Preparation Time
No log	0.6667	1	0.4377	0.0048

Framework versions

Transformers 4.45.2
Pytorch 2.2.0
Datasets 3.0.2
Tokenizers 0.20.1