git-base-ww
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: 0.5035
- Wer Score: 6.7310
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: 8
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 50
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer Score |
|---|---|---|---|---|
| 3.6106 | 3.128 | 50 | 4.5591 | 9.3966 |
| 1.2545 | 6.256 | 100 | 0.8047 | 3.2328 |
| 0.2342 | 9.384 | 150 | 0.4631 | 0.9336 |
| 0.1497 | 12.512 | 200 | 0.4565 | 1.2560 |
| 0.106 | 15.64 | 250 | 0.4637 | 2.1828 |
| 0.0813 | 18.768 | 300 | 0.4687 | 2.2207 |
| 0.0612 | 21.896 | 350 | 0.4750 | 6.5422 |
| 0.0536 | 25.0 | 400 | 0.4805 | 6.7198 |
| 0.0426 | 28.128 | 450 | 0.4867 | 2.6293 |
| 0.0361 | 31.256 | 500 | 0.4890 | 7.3362 |
| 0.031 | 34.384 | 550 | 0.4939 | 7.0353 |
| 0.0267 | 37.512 | 600 | 0.5003 | 2.7284 |
| 0.0241 | 40.64 | 650 | 0.5009 | 6.9310 |
| 0.0227 | 43.768 | 700 | 0.5015 | 6.9078 |
| 0.021 | 46.896 | 750 | 0.5036 | 6.7776 |
| 0.0203 | 50.0 | 800 | 0.5035 | 6.7310 |
Framework versions
- Transformers 4.52.4
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.2