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README.md
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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
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