---
license: cc-by-nc-sa-4.0
tags:
- generated_from_keras_callback
model-index:
- name: madatnlp/sk-kogptv2-kormath-causal
  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/sk-kogptv2-kormath-causal

This model is a fine-tuned version of [skt/kogpt2-base-v2](https://huggingface.co/skt/kogpt2-base-v2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.3184
- Validation Loss: 1.4046
- Epoch: 15

## 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': 2.2999999e-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 |
|:----------:|:---------------:|:-----:|
| 2.7142     | 1.8683          | 0     |
| 1.6077     | 1.4417          | 1     |
| 1.2458     | 1.3161          | 2     |
| 1.0396     | 1.2704          | 3     |
| 0.8848     | 1.2818          | 4     |
| 0.7634     | 1.2579          | 5     |
| 0.6699     | 1.2724          | 6     |
| 0.5948     | 1.2718          | 7     |
| 0.5306     | 1.3300          | 8     |
| 0.4832     | 1.3377          | 9     |
| 0.4401     | 1.3038          | 10    |
| 0.4053     | 1.3622          | 11    |
| 0.3782     | 1.3577          | 12    |
| 0.3550     | 1.3696          | 13    |
| 0.3347     | 1.3682          | 14    |
| 0.3184     | 1.4046          | 15    |


### Framework versions

- Transformers 4.19.1
- TensorFlow 2.8.0
- Datasets 2.2.1
- Tokenizers 0.12.1