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git-base-pokemon

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metadata
library_name: transformers
license: mit
base_model: microsoft/git-base
tags:
  - generated_from_trainer
datasets:
  - imagefolder
model-index:
  - name: git-base-pokemon
    results: []

git-base-pokemon

This model is a fine-tuned version of microsoft/git-base on the imagefolder dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1599
  • Wer Score: 5.0450

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
  • num_epochs: 50
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer Score
7.1299 12.5 50 4.6555 17.9965
2.9648 25.0 100 1.3396 9.0415
0.714 37.5 150 0.2845 7.8824
0.1933 50.0 200 0.1599 5.0450

Framework versions

  • Transformers 4.45.0.dev0
  • Pytorch 2.2.1+cu118
  • Datasets 2.19.2
  • Tokenizers 0.19.1