gpt2-thai-romanization
This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.9597
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 23741
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.4961 | 1.0 | 2968 | 1.4161 |
| 1.3384 | 2.0 | 5936 | 1.2793 |
| 1.2067 | 3.0 | 8904 | 1.1694 |
| 1.1307 | 4.0 | 11872 | 1.0987 |
| 1.0965 | 5.0 | 14840 | 1.0531 |
| 1.045 | 6.0 | 17808 | 1.0233 |
| 1.0179 | 7.0 | 20776 | 1.0021 |
| 0.9902 | 8.0 | 23744 | 0.9826 |
| 0.9405 | 9.0 | 26712 | 0.9660 |
| 0.9145 | 10.0 | 29680 | 0.9597 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Tokenizers 0.13.2
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