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finetune_colpali_v1_2_fm

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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 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