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When running train.py, why can't I get the same high accuracy as in train_search.py?

Open liqier opened this issue 3 years ago • 1 comments

Thanks for your work! One question I hope can be answered: for the same data set and parameter settings, I run train.py with the best cell obtained by train_search.py. Why can't I get the same high accuracy as in train_search.py? Look forward to your reply.

liqier avatar May 23 '21 13:05 liqier

@liqier Are you referring to the supernet performance (train_search) vs. subnet performance (best cell)? Supernet is a tool for us to find the best cell (what we care), we shall not expect the two have the exact same accuracy.

serser avatar Jun 01 '21 03:06 serser