gpt2_tiny_zh-hk-wiki
This model was trained on a dataset with a 50MB size for 10 epochs only.
Purely intended for research and testing purposes.
This model is a fine-tuned version of jed351/gpt2-tiny-zh-hk on the cantonese-wikipedia dataset.
It achieves the following results on the evaluation set:
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: 2e-05
- train_batch_size: 200
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss |
Epoch |
Step |
Validation Loss |
| No log |
1.0 |
412 |
3.6481 |
| 4.0728 |
2.0 |
824 |
3.5399 |
| 3.757 |
3.0 |
1236 |
3.4889 |
| 3.6669 |
4.0 |
1648 |
3.4557 |
| 3.6189 |
5.0 |
2060 |
3.4295 |
| 3.6189 |
6.0 |
2472 |
3.4129 |
| 3.5835 |
7.0 |
2884 |
3.3992 |
| 3.5604 |
8.0 |
3296 |
3.3905 |
| 3.5434 |
9.0 |
3708 |
3.3849 |
| 3.537 |
10.0 |
4120 |
3.3834 |
Framework versions
- Transformers 4.26.0
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2
