output_dir
This model is a fine-tuned version of microsoft/git-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.8754
- Wer Score: 0.1947
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: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer Score |
|---|---|---|---|---|
| 7.5362 | 0.9091 | 50 | 5.0569 | 12.4513 |
| 3.5403 | 1.8182 | 100 | 2.0086 | 12.2035 |
| 1.4121 | 2.7273 | 150 | 0.8754 | 0.1947 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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