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- license: apache-2.0
 
 
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+ language:
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+ - zh
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+ license: "apache-2.0"
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+ ## A Chinese MRC model built on Chinese PERT-large
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+ **Please use `BertForQuestionAnswering` to load this model!**
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+ This is a Chinese machine reading comprehension (MRC) model built on PERT-large and fine-tuned on a mixture of Chinese MRC datasets.
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+ 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.
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+ Results on Chinese MRC datasets (EM/F1):
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+ | | CMRC 2018 Dev | DRCD Dev | SQuAD-Zen Dev (Answerable) | AVG |
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+ | :-------: | :-----------: | :-------: | :------------------------: | :-------: |
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+ | PERT-large | 73.5/90.8 | 91.2/95.7 | 63.0/79.3 | 75.9/88.6 |
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+ Please visit our GitHub repo for more information: https://github.com/ymcui/PERT
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+ You may also be interested in,
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+ Chinese Minority Languages CINO: https://github.com/ymcui/Chinese-Minority-PLM
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+ Chinese MacBERT: https://github.com/ymcui/MacBERT
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+ Chinese BERT series: https://github.com/ymcui/Chinese-BERT-wwm
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+ Chinese ELECTRA: https://github.com/ymcui/Chinese-ELECTRA
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+ Chinese XLNet: https://github.com/ymcui/Chinese-XLNet
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+ Knowledge Distillation Toolkit - TextBrewer: https://github.com/airaria/TextBrewer
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+ More resources by HFL: https://github.com/ymcui/HFL-Anthology