Comments (4)
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
from nsp-bert.
@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?
from nsp-bert.
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
from nsp-bert.
感谢回复!!! 厉害了大佬, amazing work !
from nsp-bert.
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