_nougat_JawiChar_Jawi
This model is a fine-tuned version of bustamiyusoef/_base_nougat_JawiChar on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.9076
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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 6
- total_train_batch_size: 48
- optimizer: Use 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: 30
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 9 | 2.7102 |
| 25.839 | 2.0 | 18 | 2.4453 |
| 14.4532 | 3.0 | 27 | 2.3152 |
| 13.3167 | 4.0 | 36 | 2.2394 |
| 12.7721 | 5.0 | 45 | 2.1704 |
| 12.3282 | 6.0 | 54 | 2.1213 |
| 11.95 | 7.0 | 63 | 2.0908 |
| 11.7647 | 8.0 | 72 | 2.0699 |
| 11.5322 | 9.0 | 81 | 2.0403 |
| 10.5067 | 10.0 | 90 | 2.0145 |
| 10.5067 | 11.0 | 99 | 1.9972 |
| 11.144 | 12.0 | 108 | 1.9812 |
| 10.9558 | 13.0 | 117 | 1.9762 |
| 10.8235 | 14.0 | 126 | 1.9503 |
| 10.6902 | 15.0 | 135 | 1.9419 |
| 10.4891 | 16.0 | 144 | 1.9322 |
| 10.5661 | 17.0 | 153 | 1.9327 |
| 10.353 | 18.0 | 162 | 1.9243 |
| 10.3232 | 19.0 | 171 | 1.9193 |
| 9.5265 | 20.0 | 180 | 1.9114 |
| 9.5265 | 21.0 | 189 | 1.9138 |
| 10.2046 | 22.0 | 198 | 1.9108 |
| 10.1763 | 23.0 | 207 | 1.9073 |
| 10.1397 | 24.0 | 216 | 1.9089 |
| 10.1327 | 25.0 | 225 | 1.9088 |
| 10.1044 | 26.0 | 234 | 1.9076 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0