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cmnfriend avatar cmnfriend commented on September 14, 2024

可以看看uie_trainer里的正则化项？

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bw-wang19 avatar bw-wang19 commented on September 14, 2024

一共是两项，第一项是论文里面提到保持> $A_i \ i\in[1,t-1]$与> $A_t$正交的项，第二项是限制了> $A_t,B_t$大小的项，但这个只能保证不要让loranew_a/b太大吧？而且A的列向量是d维，但是B中向量是k维吧，一个K维向量是怎么由几个d维向量加权得到的，这个我也没搞懂。
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cmnfriend avatar cmnfriend commented on September 14, 2024

一个新的任务的参数变化计算方式：C=AB，C的列向量可由A的列向量线性表示，C的列向量张成的空间是A的列向量张成空间的子空间，所以我们希望在优化时能让新的lora参数A’和旧的参数A正交（内积=0->每个列向量都正交->正交），这样使得新的参数C'与旧的参数C也正交，使得两个任务的参数变化发生在不同的空间里

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bw-wang19 avatar bw-wang19 commented on September 14, 2024

哦哦我明白了，我理解错了，万分感谢！

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