Langboat
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mengzi-bert-base

Inference Endpoints

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wangyulong commited on Sep 29, 2021

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@@ -22,8 +22,8 @@ model = BertModel.from_pretrained("Langboat/mengzi-bert-base")
 ## Scores on nine chinese tasks (without any data augmentation)
 |Model|AFQMC|TNEWS|IFLYTEK|CMNLI|WSC|CSL|CMRC|C3|CHID|
 |-|-|-|-|-|-|-|-|-|-|
-|CLUE RoBERTa-wwm-ext Baseline|74.04|56.94|60.31|80.51|67.80|81|75.20|66.5|83.62|
-|Mengzi-BERT-base|74.58|57.97|60.68|82.12|87.50|85.4|78.54|71.7|0|
 ## Citation
 If you find the technical report or resource is useful, please cite the following technical report in your paper.

 ## Scores on nine chinese tasks (without any data augmentation)
 |Model|AFQMC|TNEWS|IFLYTEK|CMNLI|WSC|CSL|CMRC|C3|CHID|
 |-|-|-|-|-|-|-|-|-|-|
+|CLUE RoBERTa-wwm-ext Baseline|74.04|56.94|60.31|80.51|67.80|81.00|75.20|66.50|83.62|
+|Mengzi-BERT-base|74.58|57.97|60.68|82.12|87.50|85.40|78.54|71.70|84.16|
 ## Citation
 If you find the technical report or resource is useful, please cite the following technical report in your paper.