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sunyilgdx avatar sunyilgdx commented on August 22, 2024

您好，模型是从由Google, UER, 和HFL等机构训练的原始BERT模型，只要经过NSP任务预训练就可以，不是我们自己训练的

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chenhaoenen avatar chenhaoenen commented on August 22, 2024

@sunyilgdx 首先感谢大佬的项目，
您的意思是不是，不需要训练了已经，也甚至不需要 finetuning , 直接down 网上开元的预训练的model就ok吗？
比如说文本分类问题：
只需要把训练数据制作成对应的pattern, 然后输入到预训练model中，比较[CLS]的概率就ok吗？

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sunyilgdx avatar sunyilgdx commented on August 22, 2024

是的，不需要任何训练
是把验证集和测试集数据与prompt template做成句子对，输入到模型中
同时，不是[CLS]的概率，是[CLS]连接的NSP head的输出概率
@chenhaoenen

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chenhaoenen avatar chenhaoenen commented on August 22, 2024

感谢回复！！！ 厉害了大佬， amazing work !

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