Update README.md

README.md

@@ -28,14 +28,14 @@ You can download the 6 Chinese RoBERTa miniatures either from the [UER-py Github
 
 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-WWM   | 72.1  |  82.8  |     91.8     | 81.8  |    62.1     |     55.4      |    58.6     |
-| RoBERTa-Mini-WWM   | 76.1  |  84.9  |     93.0     | 86.8  |    64.4     |     58.7      |    68.8     |
-| RoBERTa-Small-WWM  | 77.3  |  86.8  |     93.8     | 87.2  |    65.2     |     59.6      |    71.4     |
-| RoBERTa-Medium-WWM | 78.4  |  88.2  |     94.4     | 88.8  |    66.0     |     59.9      |    73.2     |
-| RoBERTa-Base-WWM   | 80.1  |  90.0  |     95.8     | 89.4  |    67.5     |     61.8      |    76.2     |
-| RoBERTa-Large-WWM  | 81.0  |  90.4  |     95.8     | 90.0  |    68.5     |     62.1      |    79.1     |
+| RoBERTa-Tiny-WWM   | 72.2  |  83.6  |     91.8     | 81.8  |    62.1     |     55.4      |    58.6     |
+| RoBERTa-Mini-WWM   | 76.3  |  86.2  |     93.0     | 86.8  |    64.4     |     58.7      |    68.8     |
+| RoBERTa-Small-WWM  | 77.6  |  88.1  |     93.8     | 87.2  |    65.2     |     59.6      |    71.4     |
+| RoBERTa-Medium-WWM | 78.6  |  89.5  |     94.4     | 88.8  |    66.0     |     59.9      |    73.2     |
+| RoBERTa-Base-WWM   | 80.2  |  90.3  |     95.8     | 89.4  |    67.5     |     61.8      |    76.2     |
+| RoBERTa-Large-WWM  | 81.1  |  91.3  |     95.8     | 90.0  |    68.5     |     62.1      |    79.1     |
 
 For each task, we selected the best fine-tuning hyperparameters from the lists below, and trained with the sequence length of 128: