Comments (5)
Hi, Thanks for your interest, may I know which results are you referring to? Could you provide more details on " I find the results are pretty different for the same method in different paper."
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Hi, thanks for your reply.
I have reproduced the results of table 1.
For " I find the results are pretty different for the same method in different paper.", I found some paper uses a similar method (fine-tune llama with lora) but the results on the tasks of huggingface leaderboard are different. So I guess the codebase is important.
from dora.
Yes, codebase is important as different prompt formats will often lead to different evaluation results.
from dora.
Hi, May I ask a question that is not related to your paper.
I woulk like to ask: What is the main problem of lora-based methods?
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In my opinion, numerous difficulties persist, including overfitting and hyperparameters searching, compatibility with compression techniques, and many more issues that could be mentioned.
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Related Issues (3)
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