git-base-www
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: 0.5009
- Wer Score: 8.6345
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 |
|---|---|---|---|---|
| 3.6172 | 2.64 | 50 | 4.5571 | 0.9603 |
| 1.2455 | 5.2667 | 100 | 0.7764 | 0.9629 |
| 0.2488 | 7.9067 | 150 | 0.4500 | 1.2879 |
| 0.1652 | 10.5333 | 200 | 0.4539 | 2.7259 |
| 0.1242 | 13.16 | 250 | 0.4558 | 1.0871 |
| 0.0958 | 15.8 | 300 | 0.4580 | 2.2966 |
| 0.074 | 18.4267 | 350 | 0.4629 | 4.6957 |
| 0.0633 | 21.0533 | 400 | 0.4711 | 2.5060 |
| 0.0505 | 23.6933 | 450 | 0.4758 | 4.9060 |
| 0.0435 | 26.32 | 500 | 0.4796 | 4.9629 |
| 0.0383 | 28.96 | 550 | 0.4866 | 4.8526 |
| 0.0316 | 31.5867 | 600 | 0.4893 | 7.25 |
| 0.0284 | 34.2133 | 650 | 0.4927 | 4.5267 |
| 0.0261 | 36.8533 | 700 | 0.4954 | 7.6767 |
| 0.0228 | 39.48 | 750 | 0.4967 | 8.1853 |
| 0.0216 | 42.1067 | 800 | 0.4981 | 5.2336 |
| 0.0209 | 44.7467 | 850 | 0.4997 | 8.6957 |
| 0.0192 | 47.3733 | 900 | 0.5008 | 8.5552 |
| 0.0203 | 50.0 | 950 | 0.5009 | 8.6345 |
Framework versions
- Transformers 4.52.4
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.2