ganchengguang
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Update README.md
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README.md
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@@ -24,7 +24,10 @@ RoFormerModel.from_pretrained('Roformer-base-japanese')
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The accuracy in JGLUE-
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Contribute by Yokohama Nationaly University Mori Lab
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```
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The accuracy in JGLUE-marc-ja-v1.0 binary sentiment classification 95.12%
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BERT-base 1 epoch 3500s GPU memory used 14G
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RoFormer-base 1 epoch 2100s GPU memory used 7.5G
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Contribute by Yokohama Nationaly University Mori Lab
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