Comments (3)
Xiao9905
commented on June 8, 2024
@nongfang55 你好，P-tuning v2中的prompt embeddings是通过past_key_value方式传入每一层进行计算的。具体可以看这一行代码，并非是要通过RobertaEmbedding。
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nongfang55
commented on June 8, 2024
@Xiao9905 感谢回复， P-tuning v2(RobertaPrefixForSequenceClassification)的实现确实如你所说，没有问题。
我所疑问的点是用于对比的P-tuning v1的代码 (RobertaPromptForSequenceClassification)， 这里
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Xiao9905
commented on June 8, 2024
@nongfang55 你好，
是的。这里的实现有一些问题，应该使用self.roberta.embeddings.word_embeddings来获取inputs_embeddings。感谢指出，我们会更新这部分的代码。
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Related Issues (20)
- 请问，实现p-tuningv2，在每一层都添加可学习参数的代码在哪里？，nlp新手，感谢！！ HOT 1
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