| tags: | |
| - generated_from_keras_callback | |
| base_model: KETI-AIR/ke-t5-base-ko | |
| model-index: | |
| - name: madatnlp/ke-t5-math-py | |
| results: [] | |
| <!-- This model card has been generated automatically according to the information Keras had access to. You should | |
| probably proofread and complete it, then remove this comment. --> | |
| # madatnlp/ke-t5-math-py | |
| This model is a fine-tuned version of [KETI-AIR/ke-t5-base-ko](https://huggingface.co/KETI-AIR/ke-t5-base-ko) on an unknown dataset. | |
| It achieves the following results on the evaluation set: | |
| - Train Loss: 0.1203 | |
| - Validation Loss: 0.4336 | |
| - Epoch: 47 | |
| ## 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': 0.001, '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 | | |
| |:----------:|:---------------:|:-----:| | |
| | 2.0197 | 1.2886 | 0 | | |
| | 1.5642 | 1.1261 | 1 | | |
| | 1.3713 | 1.0296 | 2 | | |
| | 1.2555 | 0.9905 | 3 | | |
| | 1.1708 | 0.9628 | 4 | | |
| | 1.1161 | 0.9133 | 5 | | |
| | 1.0704 | 0.8994 | 6 | | |
| | 1.0297 | 0.8911 | 7 | | |
| | 0.9898 | 0.8570 | 8 | | |
| | 0.9608 | 0.8497 | 9 | | |
| | 0.9326 | 0.8359 | 10 | | |
| | 0.9089 | 0.8387 | 11 | | |
| | 0.8882 | 0.8083 | 12 | | |
| | 0.8627 | 0.8154 | 13 | | |
| | 0.8467 | 0.8058 | 14 | | |
| | 0.8314 | 0.7905 | 15 | | |
| | 0.8071 | 0.7852 | 16 | | |
| | 0.7975 | 0.7873 | 17 | | |
| | 0.8021 | 0.7926 | 18 | | |
| | 0.7754 | 0.7858 | 19 | | |
| | 0.7598 | 0.7941 | 20 | | |
| | 0.7463 | 0.7769 | 21 | | |
| | 0.7266 | 0.7594 | 22 | | |
| | 0.7092 | 0.7744 | 23 | | |
| | 0.6986 | 0.7611 | 24 | | |
| | 0.6818 | 0.7592 | 25 | | |
| | 0.6775 | 0.7718 | 26 | | |
| | 0.6689 | 0.7685 | 27 | | |
| | 0.6474 | 0.7554 | 28 | | |
| | 0.6328 | 0.7601 | 29 | | |
| | 0.6050 | 0.7042 | 30 | | |
| | 0.5296 | 0.5711 | 31 | | |
| | 0.4310 | 0.5227 | 32 | | |
| | 0.3729 | 0.4740 | 33 | | |
| | 0.3353 | 0.4552 | 34 | | |
| | 0.3006 | 0.4375 | 35 | | |
| | 0.2750 | 0.4233 | 36 | | |
| | 0.2494 | 0.4487 | 37 | | |
| | 0.2287 | 0.4294 | 38 | | |
| | 0.2160 | 0.4119 | 39 | | |
| | 0.1980 | 0.4309 | 40 | | |
| | 0.1837 | 0.4182 | 41 | | |
| | 0.1699 | 0.4045 | 42 | | |
| | 0.1577 | 0.4065 | 43 | | |
| | 0.1498 | 0.4247 | 44 | | |
| | 0.1392 | 0.4102 | 45 | | |
| | 0.1282 | 0.4274 | 46 | | |
| | 0.1203 | 0.4336 | 47 | | |
| ### Framework versions | |
| - Transformers 4.18.0 | |
| - TensorFlow 2.8.0 | |
| - Datasets 2.1.0 | |
| - Tokenizers 0.12.1 | |