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pz-bert-kr
This model is a fine-tuned version of Hanwoon/pz-bert-kr on the Multiple datasets. It achieves the following results on the evaluation set:
- Loss: 2.6540
Model description
Korean Language Bert Model
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.7509 | 1.0 | 10546 | 2.7836 |
| 2.7325 | 2.0 | 21092 | 2.7776 |
| 2.6884 | 3.0 | 31638 | 2.7732 |
| 2.6839 | 4.0 | 42184 | 2.7663 |
| 2.655 | 5.0 | 52730 | 2.7548 |
| 2.6475 | 6.0 | 63276 | 2.7388 |
| 2.6172 | 7.0 | 73822 | 2.7406 |
| 2.6177 | 8.0 | 84368 | 2.7320 |
| 2.5885 | 9.0 | 94914 | 2.7121 |
| 2.5743 | 10.0 | 105460 | 2.7156 |
| 2.5652 | 11.0 | 116006 | 2.7047 |
| 2.5642 | 12.0 | 126552 | 2.6916 |
| 2.5644 | 13.0 | 137098 | 2.7033 |
| 2.5136 | 14.0 | 147644 | 2.6833 |
| 2.532 | 15.0 | 158190 | 2.6742 |
| 2.5224 | 16.0 | 168736 | 2.6702 |
| 2.5268 | 17.0 | 179282 | 2.6661 |
| 2.5077 | 18.0 | 189828 | 2.6629 |
| 2.5061 | 19.0 | 200374 | 2.6657 |
| 2.4853 | 20.0 | 210920 | 2.6540 |
Framework versions
- Transformers 4.23.1
- Pytorch 1.12.1
- Datasets 2.6.1
- Tokenizers 0.13.1
