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---
tags:
- generated_from_keras_callback
model-index:
- name: madatnlp/kor-math-roberta-finetune
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/kor-math-roberta-finetune
This model is a fine-tuned version of [klue/roberta-base](https://huggingface.co/klue/roberta-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.3205
- Validation Loss: 1.1407
- Epoch: 26
## 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': 'AdamWeightDecay', 'learning_rate': 1e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: mixed_bfloat16
### Training results
| Train Loss | Validation Loss | Epoch |
|:----------:|:---------------:|:-----:|
| 3.4242 | 2.0873 | 0 |
| 1.9159 | 1.6264 | 1 |
| 1.5933 | 1.4521 | 2 |
| 1.3806 | 1.3584 | 3 |
| 1.2487 | 1.2904 | 4 |
| 1.1464 | 1.2388 | 5 |
| 1.0552 | 1.2076 | 6 |
| 0.9889 | 1.1818 | 7 |
| 0.9118 | 1.1607 | 8 |
| 0.8459 | 1.1349 | 9 |
| 0.7838 | 1.1193 | 10 |
| 0.7389 | 1.1193 | 11 |
| 0.6864 | 1.1080 | 12 |
| 0.6495 | 1.1001 | 13 |
| 0.6103 | 1.1001 | 14 |
| 0.5795 | 1.0990 | 15 |
| 0.5436 | 1.0954 | 16 |
| 0.5136 | 1.0997 | 17 |
| 0.4906 | 1.0954 | 18 |
| 0.4565 | 1.1021 | 19 |
| 0.4347 | 1.1075 | 20 |
| 0.4131 | 1.1075 | 21 |
| 0.3924 | 1.1220 | 22 |
| 0.3741 | 1.1298 | 23 |
| 0.3549 | 1.1352 | 24 |
| 0.3395 | 1.1286 | 25 |
| 0.3205 | 1.1407 | 26 |
### Framework versions
- Transformers 4.18.0
- TensorFlow 2.8.0
- Datasets 2.1.0
- Tokenizers 0.12.1
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