Rbt4

🚀 Re-trained 4-layer RoBERTa-wwm-ext Model

This is a re-trained 4-layer RoBERTa-wwm-ext model. To further accelerate Chinese natural language processing, we offer Chinese pre-trained BERT with Whole Word Masking.

✨ Features

• Whole Word Masking: The model uses whole word masking for pre - training, which is beneficial for Chinese natural language processing.
• Based on Reputable Repository: This repository is developed based on https://github.com/google-research/bert.

📚 Documentation

• Related Paper: Pre-Training with Whole Word Masking for Chinese BERT by Yiming Cui, Wanxiang Che, Ting Liu, Bing Qin, Ziqing Yang, Shijin Wang, Guoping Hu.
• Related Repositories:
  • Chinese BERT series: https://github.com/ymcui/Chinese-BERT-wwm
  • Chinese MacBERT: https://github.com/ymcui/MacBERT
  • Chinese ELECTRA: https://github.com/ymcui/Chinese-ELECTRA
  • Chinese XLNet: https://github.com/ymcui/Chinese-XLNet
  • Knowledge Distillation Toolkit - TextBrewer: https://github.com/airaria/TextBrewer
• More Resources by HFL: https://github.com/ymcui/HFL-Anthology

📄 License

This project is licensed under the "apache - 2.0" license.

📚 Citation

If you find the technical report or resource useful, please cite the following technical reports in your paper:

• Primary: https://arxiv.org/abs/2004.13922

@inproceedings{cui-etal-2020-revisiting,
    title = "Revisiting Pre-Trained Models for {C}hinese Natural Language Processing",
    author = "Cui, Yiming  and
      Che, Wanxiang  and
      Liu, Ting  and
      Qin, Bing  and
      Wang, Shijin  and
      Hu, Guoping",
    booktitle = "Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: Findings",
    month = nov,
    year = "2020",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://www.aclweb.org/anthology/2020.findings-emnlp.58",
    pages = "657--668",
}

• Secondary: https://arxiv.org/abs/1906.08101

@article{chinese-bert-wwm,
  title={Pre-Training with Whole Word Masking for Chinese BERT},
  author={Cui, Yiming and Che, Wanxiang and Liu, Ting and Qin, Bing and Yang, Ziqing and Wang, Shijin and Hu, Guoping},
  journal={arXiv preprint arXiv:1906.08101},
  year={2019}
 }