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---
license: mit
tags:
- generated_from_keras_callback
model-index:
- name: madatnlp/gamza-bart-for-kormath
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/gamza-bart-for-kormath
This model is a fine-tuned version of [gogamza/kobart-base-v2](https://huggingface.co/gogamza/kobart-base-v2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.1418
- Validation Loss: 0.3009
- Epoch: 29
## 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': 1e-04, '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 |
|:----------:|:---------------:|:-----:|
| 4.4155 | 1.9300 | 0 |
| 1.4995 | 1.0293 | 1 |
| 1.0445 | 0.8365 | 2 |
| 0.8775 | 0.7569 | 3 |
| 0.8198 | 0.7778 | 4 |
| 0.7619 | 0.7430 | 5 |
| 0.7324 | 0.7259 | 6 |
| 0.7234 | 0.7214 | 7 |
| 0.6697 | 0.6819 | 8 |
| 0.6599 | 0.6673 | 9 |
| 0.6387 | 0.6433 | 10 |
| 0.6227 | 0.6651 | 11 |
| 0.6017 | 0.6128 | 12 |
| 0.5820 | 0.6430 | 13 |
| 0.5229 | 0.5611 | 14 |
| 0.4617 | 0.4675 | 15 |
| 0.4071 | 0.4463 | 16 |
| 0.3495 | 0.4213 | 17 |
| 0.3202 | 0.4103 | 18 |
| 0.2875 | 0.4477 | 19 |
| 0.2528 | 0.3244 | 20 |
| 0.2331 | 0.4037 | 21 |
| 0.2117 | 0.3041 | 22 |
| 0.1943 | 0.3069 | 23 |
| 0.1805 | 0.3385 | 24 |
| 0.2267 | 0.3347 | 25 |
| 0.2049 | 0.2993 | 26 |
| 0.1800 | 0.3792 | 27 |
| 0.1583 | 0.2905 | 28 |
| 0.1418 | 0.3009 | 29 |
### Framework versions
- Transformers 4.18.0
- TensorFlow 2.8.0
- Datasets 2.1.0
- Tokenizers 0.12.1
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