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roberta-small-word-chinese-cluecorpussmall

Inference Endpoints

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uer commited on Oct 12, 2022

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@@ -30,7 +30,7 @@ You can download the 5 Chinese RoBERTa miniatures either from the [UER-py Modelz
 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:
-| Model          | Score | douban | chnsenticorp | lcqmc | tnews(CLUE) | iflytek(CLUE) | ocnli(CLUE) |
 | -------------- | :---: | :----: | :----------: | :---: | :---------: | :-----------: | :---------: |
 | RoBERTa-Tiny(char)       | 72.3            |  83.4      |     91.4         | 81.8      |    62.0         |     55.0          |    60.3         |
 | **RoBERTa-Tiny(word)**   | **74.4(+2.1)**  |  **86.7**  |     **93.2**     | **82.0**  |    **66.4**     |     **58.2**      |    **59.6**     |

 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:
+| Model          | Score | book_review | chnsenticorp | lcqmc | tnews(CLUE) | iflytek(CLUE) | ocnli(CLUE) |
 | -------------- | :---: | :----: | :----------: | :---: | :---------: | :-----------: | :---------: |
 | RoBERTa-Tiny(char)       | 72.3            |  83.4      |     91.4         | 81.8      |    62.0         |     55.0          |    60.3         |
 | **RoBERTa-Tiny(word)**   | **74.4(+2.1)**  |  **86.7**  |     **93.2**     | **82.0**  |    **66.4**     |     **58.2**      |    **59.6**     |