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@@ -25,8 +25,7 @@ RoFormerModel.from_pretrained('Roformer-base-japanese')
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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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  The accuracy in JGLUE-marc-ja-v1.0 binary sentiment classification 95.12%
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