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madatnlp/sk-kogptv2-kormath-causal
This model is a fine-tuned version of skt/kogpt2-base-v2 on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.3184
- Validation Loss: 1.4046
- Epoch: 15
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:
- optimizer: {'name': 'Adam', 'learning_rate': 2.2999999e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
- training_precision: float32
Training results
| Train Loss | Validation Loss | Epoch |
|---|---|---|
| 2.7142 | 1.8683 | 0 |
| 1.6077 | 1.4417 | 1 |
| 1.2458 | 1.3161 | 2 |
| 1.0396 | 1.2704 | 3 |
| 0.8848 | 1.2818 | 4 |
| 0.7634 | 1.2579 | 5 |
| 0.6699 | 1.2724 | 6 |
| 0.5948 | 1.2718 | 7 |
| 0.5306 | 1.3300 | 8 |
| 0.4832 | 1.3377 | 9 |
| 0.4401 | 1.3038 | 10 |
| 0.4053 | 1.3622 | 11 |
| 0.3782 | 1.3577 | 12 |
| 0.3550 | 1.3696 | 13 |
| 0.3347 | 1.3682 | 14 |
| 0.3184 | 1.4046 | 15 |
Framework versions
- Transformers 4.19.1
- TensorFlow 2.8.0
- Datasets 2.2.1
- Tokenizers 0.12.1
