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README.md
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@@ -30,7 +30,7 @@ You can download the 5 Chinese RoBERTa miniatures either from the [UER-py Modelz
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Compared with [char-based models](https://huggingface.co/uer/chinese_roberta_L-2_H-128), word-based models achieve better results in most cases. Here are scores on the devlopment set of six Chinese tasks:
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| Model | Score |
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| -------------- | :---: | :----: | :----------: | :---: | :---------: | :-----------: | :---------: |
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| RoBERTa-Tiny(char) | 72.3 | 83.4 | 91.4 | 81.8 | 62.0 | 55.0 | 60.3 |
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| **RoBERTa-Tiny(word)** | **74.4(+2.1)** | **86.7** | **93.2** | **82.0** | **66.4** | **58.2** | **59.6** |
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Compared with [char-based models](https://huggingface.co/uer/chinese_roberta_L-2_H-128), word-based models achieve better results in most cases. 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(char) | 72.3 | 83.4 | 91.4 | 81.8 | 62.0 | 55.0 | 60.3 |
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| **RoBERTa-Tiny(word)** | **74.4(+2.1)** | **86.7** | **93.2** | **82.0** | **66.4** | **58.2** | **59.6** |
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