---
license: cc-by-nc-sa-4.0
base_model: Tiabet/kogpt2-base-v2-finetuned-koGPT-complete_story
tags:
- text generation
- generated_from_trainer
model-index:
- name: kogpt2-base-v2-finetuned-koGPT-complete_story-finetuned-koGPT-complete_story
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# kogpt2-base-v2-finetuned-koGPT-complete_story-finetuned-koGPT-complete_story

This model is a fine-tuned version of [Tiabet/kogpt2-base-v2-finetuned-koGPT-complete_story](https://huggingface.co/Tiabet/kogpt2-base-v2-finetuned-koGPT-complete_story) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.2092

## 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:
- learning_rate: 5.6e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 3.2518        | 1.0   | 3755  | 2.9790          |
| 3.8162        | 2.0   | 7510  | 2.9607          |
| 3.2811        | 3.0   | 11265 | 3.2092          |


### Framework versions

- Transformers 4.33.3
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3