---
license: mit
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: ko_gpt2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# ko_gpt2

This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.8370

## 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: 0.0005
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 64
- total_train_batch_size: 1024
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 500
- num_epochs: 1

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 6.7369        | 0.2569 | 500  | 4.6511          |
| 4.1692        | 0.5139 | 1000 | 3.9504          |
| 3.7375        | 0.7708 | 1500 | 3.8370          |


### Framework versions

- Transformers 4.42.4
- Pytorch 2.2.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1