readme: ---
  language: 
  - zh
  license: "apache-2.0"
  ---
  
  ## A Chinese MRC model built on Chinese PERT-large
  
  **Please use `BertForQuestionAnswering` to load this model!**
  
  This is a Chinese machine reading comprehension (MRC) model built on PERT-large and fine-tuned on a mixture of Chinese MRC datasets.
  
  PERT is a pre-trained model based on permuted language model (PerLM) to learn text semantic information in a self-supervised manner without introducing the mask tokens [MASK]. It yields competitive results on in tasks such as reading comprehension and sequence labeling.
  
  Results on Chinese MRC datasets (EM/F1):
  
  (We report the checkpoint that has the best AVG score)
  
  |           | CMRC 2018 Dev | DRCD Dev  | SQuAD-Zen Dev (Answerable) |    AVG    |
  | :-------: | :-----------: | :-------: | :------------------------: | :-------: |
  | PERT-large |   73.5/90.8   | 91.2/95.7 |         63.0/79.3          | 75.9/88.6 |
  
  Please visit our GitHub repo for more information: https://github.com/ymcui/PERT
  
  You may also be interested in,
  
  Chinese Minority Languages CINO: https://github.com/ymcui/Chinese-Minority-PLM    
  Chinese MacBERT: https://github.com/ymcui/MacBERT  
  Chinese BERT series: https://github.com/ymcui/Chinese-BERT-wwm  
  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
  