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---
tags:
- generated_from_keras_callback
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
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