---
license: cc-by-nc-sa-4.0
tags:
- generated_from_keras_callback
model-index:
- name: madatnlp/skgpt-base-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/skgpt-base-kormath

This model is a fine-tuned version of [madatnlp/sk-kogptv2-kormath-causal](https://huggingface.co/madatnlp/sk-kogptv2-kormath-causal) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.4912
- Validation Loss: 1.1109
- Epoch: 25

## 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': 5.3799995e-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 |
|:----------:|:---------------:|:-----:|
| 2.0777     | 1.5042          | 0     |
| 1.4350     | 1.1904          | 1     |
| 1.3248     | 1.2871          | 2     |
| 1.1661     | 1.4441          | 3     |
| 1.0920     | 1.0973          | 4     |
| 1.0431     | 1.3860          | 5     |
| 0.9541     | 1.2228          | 6     |
| 0.9315     | 1.0385          | 7     |
| 0.8875     | 1.2156          | 8     |
| 0.8838     | 1.0195          | 9     |
| 0.8029     | 1.1956          | 10    |
| 0.7533     | 1.1139          | 11    |
| 0.7526     | 1.4868          | 12    |
| 0.6986     | 1.1045          | 13    |
| 0.6999     | 1.1083          | 14    |
| 0.6462     | 1.0082          | 15    |
| 0.6325     | 1.0643          | 16    |
| 0.6350     | 1.0729          | 17    |
| 0.6373     | 1.0455          | 18    |
| 0.5922     | 1.2834          | 19    |
| 0.5606     | 1.1031          | 20    |
| 0.5241     | 1.3085          | 21    |
| 0.5394     | 1.2911          | 22    |
| 0.5486     | 1.2407          | 23    |
| 0.5239     | 1.2075          | 24    |
| 0.4912     | 1.1109          | 25    |


### Framework versions

- Transformers 4.19.2
- TensorFlow 2.8.0
- Datasets 2.2.1
- Tokenizers 0.12.1