Update README.md

README.md

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