---
license: cc-by-sa-4.0
base_model: nlp-waseda/gpt2-small-japanese-wikipedia
tags:
- generated_from_trainer
datasets:
- livedoor-news-corpus
model-index:
- name: ja-news-gen
  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. -->

# ja-news-gen

This model is a fine-tuned version of [nlp-waseda/gpt2-small-japanese-wikipedia](https://huggingface.co/nlp-waseda/gpt2-small-japanese-wikipedia) on the livedoor-news-corpus dataset.

## 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: 16
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 1000
- num_epochs: 6

### Training results



### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3