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@@ -17,17 +17,29 @@ https://github.com/JunnYu/RoFormer_pytorch
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  - pip install roformer==0.4.3
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  ## 评测对比
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-
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- ### CLUE榜单分类任务结果,base版本。
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  | | iflytek | tnews | afqmc | cmnli | ocnli | wsc | csl |
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  | :-----: | :-----: | :---: | :---: | :---: | :---: | :---: | :---: |
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  | BERT | 60.06 | 56.80 | 72.41 | 79.56 | 73.93 | 78.62 | 83.93 |
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- | RoBERTa | 60.64 | 58.06 | 74.05 | 81.24 | 76.00 | **87.50** | 84.50 |
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- | RoFormer | 60.91 | 57.54 | 73.52 | 80.92 | **76.07** | 86.84 | 84.63 |
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- | GAU-α | 61.41 | 57.76 | 74.17 | **81.82** | 75.86 | 79.93 | **85.67** |
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  | RoFormerV2<sup>*</sup> | 60.87 | 56.54 | 72.75 | 80.34 | 75.36 | 80.92 | 84.67 |
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- | RoFormerV2<sup>*</sup>-pytorch(本仓库代码) | **63.15** | **58.24** | **75.42** | 80.59 | 74.17 | 83.79 | 83.73 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ## pytorch & tf2.0使用
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  ```python
 
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  - pip install roformer==0.4.3
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  ## 评测对比
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+ ### CLUE-dev榜单分类任务结果,base版本。
 
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  | | iflytek | tnews | afqmc | cmnli | ocnli | wsc | csl |
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  | :-----: | :-----: | :---: | :---: | :---: | :---: | :---: | :---: |
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  | BERT | 60.06 | 56.80 | 72.41 | 79.56 | 73.93 | 78.62 | 83.93 |
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+ | RoBERTa | 60.64 | 58.06 | 74.05 | **81.24** | 76.00 | 87.50 | 84.50 |
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+ | RoFormer | 60.91 | 57.54 | 73.52 | 80.92 | 76.07 | 86.84 | 84.63 |
 
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  | RoFormerV2<sup>*</sup> | 60.87 | 56.54 | 72.75 | 80.34 | 75.36 | 80.92 | 84.67 |
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+ | RoFormerV2<sup>*</sup>-pytorch(本仓库代码) | **62.87** | **59.03** | **76.20** | 80.85 | **79.73** | **87.82** | **91.87** |
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+ | GAU-α | 61.41 | 57.76 | 74.17 | 81.82 | 75.86 | 79.93 | 85.67 |
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+ | GAU-α-pytorch(Adafactor) | 61.18 | 57.52 | 73.42 | 80.91 | 75.69 | 80.59 | 85.5 |
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+ | GAU-α-pytorch(AdamW wd0.01 warm_decay0.1) | 60.68 | 57.95 | 73.08 | 81.02 | 75.36 | 81.25 | 83.93 |
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+ ### CLUE-test榜单分类任务结果,base版本。
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+
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+ | | iflytek | tnews | afqmc | cmnli | ocnli | wsc | csl |
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+ | :-----: | :-----: | :---: | :---: | :---: | :---: | :---: | :---: |
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+ | RoFormerV2<sup>*</sup>-pytorch(本仓库代码) | 63.15 | 58.24 | 75.42 | 80.59 | 74.17 | 83.79 | 83.73 |
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+ | GAU-α-pytorch(Adafactor) | 61.38 | 57.08 | 74.05 | 80.37 | 73.53 | 74.83 | 85.6 |
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+ | GAU-α-pytorch(AdamW wd0.01 warm_decay0.1) | 60.54 | 57.67 | 72.44 | 80.32 | 72.97 | 76.55 | 84.13 |
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  ## pytorch & tf2.0使用
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  ```python