git-base-naruto / README.md
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metadata
license: mit
base_model: microsoft/git-base
tags:
  - generated_from_trainer
model-index:
  - name: git-base-naruto
    results: []

git-base-naruto

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

  • Loss: 0.0529
  • Wer Score: 1.4091

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
  • num_epochs: 50
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer Score
7.3586 3.7037 50 4.5383 8.8030
2.3507 7.4074 100 0.4544 0.4697
0.1281 11.1111 150 0.0543 0.5152
0.0161 14.8148 200 0.0491 0.4545
0.0115 18.5185 250 0.0501 0.4394
0.0099 22.2222 300 0.0528 0.4697
0.0085 25.9259 350 0.0536 0.4697
0.0075 29.6296 400 0.0532 0.4848
0.0068 33.3333 450 0.0520 0.4697
0.0061 37.0370 500 0.0528 0.6818
0.0054 40.7407 550 0.0530 0.8030
0.0044 44.4444 600 0.0535 1.2121
0.0038 48.1481 650 0.0529 1.4091

Framework versions

  • Transformers 4.40.2
  • Pytorch 2.3.0+cu121
  • Datasets 2.19.1
  • Tokenizers 0.19.1