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about the difference of evaluating after training in normal method #8

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xiaomengxin123 opened this issue Mar 20, 2024 · 0 comments

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@xiaomengxin123
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Excuse me, I know lora a little, I use your method and I find it powerful in training. In my method, I save model as ".pth" after training and I use ".pth" to evaluating model but I find it worse than full params finetuning. So should I also "save_lora_parameters" after training and evaluate it by loading "save_lora_parameters" and ".pth"? Besides, does the parameters of "r" and "alpha" have an effect?

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