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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-base |
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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-base 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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(We report the checkpoint that has the best AVG score) |
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| | CMRC 2018 Dev | DRCD Dev | SQuAD-Zen Dev (Answerable) | AVG | |
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| :-------: | :-----------: | :-------: | :------------------------: | :-------: | |
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| PERT-base | 73.2/90.6 | 88.7/94.1 | 59.7/76.5 | 73.9/87.1 | |
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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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