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@@ -29,13 +29,13 @@ You can download the 24 Chinese RoBERTa miniatures either from the [UER-py Model
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  Here are scores on the devlopment set of six Chinese tasks:
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- | Model | Score | douban | chnsenticorp | lcqmc | tnews(CLUE) | iflytek(CLUE) | ocnli(CLUE) |
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  | -------------- | :---: | :----: | :----------: | :---: | :---------: | :-----------: | :---------: |
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- | RoBERTa-Tiny | 72.3 | 83.0 | 91.4 | 81.8 | 62.0 | 55.0 | 60.3 |
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- | RoBERTa-Mini | 75.7 | 84.8 | 93.7 | 86.1 | 63.9 | 58.3 | 67.4 |
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- | RoBERTa-Small | 76.8 | 86.5 | 93.4 | 86.5 | 65.1 | 59.4 | 69.7 |
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- | RoBERTa-Medium | 77.8 | 87.6 | 94.8 | 88.1 | 65.6 | 59.5 | 71.2 |
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- | RoBERTa-Base | 79.5 | 89.1 | 95.2 | 89.2 | 67.0 | 60.9 | 75.5 |
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  For each task, we selected the best fine-tuning hyperparameters from the lists below, and trained with the sequence length of 128:
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  Here are scores on the devlopment set of six Chinese tasks:
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+ | Model | Score | book_review | chnsenticorp | lcqmc | tnews(CLUE) | iflytek(CLUE) | ocnli(CLUE) |
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  | -------------- | :---: | :----: | :----------: | :---: | :---------: | :-----------: | :---------: |
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+ | RoBERTa-Tiny | 72.3 | 83.4 | 91.4 | 81.8 | 62.0 | 55.0 | 60.3 |
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+ | RoBERTa-Mini | 75.9 | 85.7 | 93.7 | 86.1 | 63.9 | 58.3 | 67.4 |
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+ | RoBERTa-Small | 76.9 | 87.5 | 93.4 | 86.5 | 65.1 | 59.4 | 69.7 |
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+ | RoBERTa-Medium | 78.0 | 88.7 | 94.8 | 88.1 | 65.6 | 59.5 | 71.2 |
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+ | RoBERTa-Base | 79.7 | 90.1 | 95.2 | 89.2 | 67.0 | 60.9 | 75.5 |
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  For each task, we selected the best fine-tuning hyperparameters from the lists below, and trained with the sequence length of 128:
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