kor-baseline-small
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.6595
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
- optimizer: Use OptimizerNames.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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.7827 | 1.0 | 488 | 3.2663 |
| 3.2979 | 2.0 | 976 | 3.0744 |
| 3.1224 | 3.0 | 1464 | 2.9616 |
| 2.9961 | 4.0 | 1952 | 2.8713 |
| 2.8929 | 5.0 | 2440 | 2.8105 |
| 2.8093 | 6.0 | 2928 | 2.7481 |
| 2.734 | 7.0 | 3416 | 2.7107 |
| 2.6779 | 8.0 | 3904 | 2.6827 |
| 2.6364 | 9.0 | 4392 | 2.6652 |
| 2.6092 | 10.0 | 4880 | 2.6595 |
Framework versions
- Transformers 4.53.0
- Pytorch 2.7.1+cu126
- Datasets 4.0.0
- Tokenizers 0.21.2