madatnlp/skgpt-base-kormath
This model is a fine-tuned version of madatnlp/sk-kogptv2-kormath-causal on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.4912
- Validation Loss: 1.1109
- Epoch: 25
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': 5.3799995e-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 |
|---|---|---|
| 2.0777 | 1.5042 | 0 |
| 1.4350 | 1.1904 | 1 |
| 1.3248 | 1.2871 | 2 |
| 1.1661 | 1.4441 | 3 |
| 1.0920 | 1.0973 | 4 |
| 1.0431 | 1.3860 | 5 |
| 0.9541 | 1.2228 | 6 |
| 0.9315 | 1.0385 | 7 |
| 0.8875 | 1.2156 | 8 |
| 0.8838 | 1.0195 | 9 |
| 0.8029 | 1.1956 | 10 |
| 0.7533 | 1.1139 | 11 |
| 0.7526 | 1.4868 | 12 |
| 0.6986 | 1.1045 | 13 |
| 0.6999 | 1.1083 | 14 |
| 0.6462 | 1.0082 | 15 |
| 0.6325 | 1.0643 | 16 |
| 0.6350 | 1.0729 | 17 |
| 0.6373 | 1.0455 | 18 |
| 0.5922 | 1.2834 | 19 |
| 0.5606 | 1.1031 | 20 |
| 0.5241 | 1.3085 | 21 |
| 0.5394 | 1.2911 | 22 |
| 0.5486 | 1.2407 | 23 |
| 0.5239 | 1.2075 | 24 |
| 0.4912 | 1.1109 | 25 |
Framework versions
- Transformers 4.19.2
- TensorFlow 2.8.0
- Datasets 2.2.1
- Tokenizers 0.12.1