burmese-gpt2
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.4037
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: 0.0005
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 200
- num_epochs: 15
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.5386 | 1.0 | 385 | 3.4623 |
| 3.1222 | 2.0 | 770 | 3.1809 |
| 2.7892 | 3.0 | 1155 | 2.8679 |
| 2.5867 | 4.0 | 1540 | 2.7091 |
| 2.3742 | 5.0 | 1925 | 2.5990 |
| 2.2182 | 6.0 | 2310 | 2.5070 |
| 2.0553 | 7.0 | 2695 | 2.4537 |
| 1.8919 | 8.0 | 3080 | 2.4354 |
| 1.7228 | 9.0 | 3465 | 2.3905 |
| 1.6395 | 10.0 | 3850 | 2.3866 |
| 1.5234 | 11.0 | 4235 | 2.3780 |
| 1.4047 | 12.0 | 4620 | 2.3842 |
| 1.3210 | 13.0 | 5005 | 2.3904 |
| 1.2410 | 14.0 | 5390 | 2.4005 |
| 1.1575 | 15.0 | 5775 | 2.4037 |
Framework versions
- Transformers 5.16.1
- Pytorch 2.11.0+cu128
- Datasets 4.8.5
- Tokenizers 0.23.1