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metadata
language: ja
thumbnail: https://github.com/rinnakk/japanese-gpt2/blob/master/rinna.png
tags:
  - ja
  - japanese
  - gpt2
  - text-generation
  - lm
  - nlp
license: mit
datasets:
  - cc100
  - wikipedia
widget:
  - text: 生命、宇宙、そして万物についての究極の疑問の答えは

japanese-gpt2-medium

rinna-icon

This repository provides a medium-sized Japanese GPT-2 model. The model was trained using code from Github repository rinnakk/japanese-pretrained-models by rinna Co., Ltd.

How to use the model

NOTE: Use T5Tokenizer to initiate the tokenizer.

from transformers import T5Tokenizer, AutoModelForCausalLM

tokenizer = T5Tokenizer.from_pretrained("rinna/japanese-gpt2-medium")
tokenizer.do_lower_case = True  # due to some bug of tokenizer config loading

model = AutoModelForCausalLM.from_pretrained("rinna/japanese-gpt2-medium")

Model architecture

A 24-layer, 1024-hidden-size transformer-based language model.

Training

The model was trained on Japanese CC-100 and Japanese Wikipedia to optimize a traditional language modelling objective on 8\*V100 GPUs for around 30 days. It reaches around 18 perplexity on a chosen validation set from the same data.

Tokenization

The model uses a sentencepiece-based tokenizer, the vocabulary was trained on the Japanese Wikipedia using the official sentencepiece training script.

Licenese

The MIT license