 A Chinese MRC model built on Chinese PERT-base  **Please use `BertForQuestionAnswering` to load this model!**  This is a Chinese machine reading comprehension (MRC) model built on PERT-base 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-base |   73.2/90.6   | 88.7/94.1 |         59.7/76.5          | 73.9/87.1 |  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 