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Update README.md
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README.md
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@@ -24,9 +24,9 @@ model = BertModel.from_pretrained("Langboat/mengzi-bert-base")
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## Scores on nine chinese tasks (without any data augmentation)
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|Model|AFQMC|TNEWS|IFLYTEK|CMNLI|WSC|CSL|CMRC|C3|CHID|
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|RoBERTa-wwm-ext
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|Mengzi-BERT-base|74.58|57.97|60.68|82.12|87.50|85.40|78.54|71.70|84.16|
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## Citation
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If you find the technical report or resource is useful, please cite the following technical report in your paper.
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```
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## Scores on nine chinese tasks (without any data augmentation)
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|Model|AFQMC|TNEWS|IFLYTEK|CMNLI|WSC|CSL|CMRC|C3|CHID|
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|RoBERTa-wwm-ext|74.04|56.94|60.31|80.51|67.80|81.00|75.20|66.50|83.62|
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|Mengzi-BERT-base|74.58|57.97|60.68|82.12|87.50|85.40|78.54|71.70|84.16|
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*RoBERTa-wwm-ext scores are from CLUE baseline: https://github. com/CLUEbenchmark/CLUE*
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## Citation
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If you find the technical report or resource is useful, please cite the following technical report in your paper.
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```
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