中文说明 | English

• Simplifed GPT2 train scripts（based on Grover, supporting TPUs）
• Ported bert tokenizer, multilingual corpus compatible
• 1.5B GPT2 pretrained Chinese model ( ~15G corpus, 10w steps )
• Batteries-included Colab demo #
• 1.5B GPT2 pretrained Chinese model ( ~30G corpus, 22w steps )

Corpus from THUCNews and nlp_chinese_corpus

Using Cloud TPU Pod v3-256 to train 22w steps

With just 2 clicks (not including Colab auth process), the 1.5B pretrained Chinese model demo is ready to go:

[Colab Notebook]

The contents in this repository are for academic research purpose, and we do not provide any conclusive remarks.

@misc{GPT2-ML,
  author = {Zhibo Zhang},
  title = {GPT2-ML: GPT-2 for Multiple Languages},
  year = {2019},
  publisher = {GitHub},
  journal = {GitHub repository},
  howpublished = {\url{https://github.com/imcaspar/gpt2-ml}},
}

https://github.com/google-research/bert

https://github.com/rowanz/grover

Research supported with Cloud TPUs from Google's TensorFlow Research Cloud (TFRC)