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License: MIT License
Hello, I used my own dataset, which has 10 categories.at first ,I finished the Shrinking in SPOS folder ,and then I entered ProxyLess folder in order to Search over the Shrunk Search Space .However I found the problem:val-Top1acc always about~10%,val-Top5acc always about~50% while the training loss can be reduced and the training accuracy can be increased
,So It seems to be the result of a random prediction on the validation set。
Thanks for your excellent work! I am confused about why not directly shrink the search space to only one stand-alone model to eliminate the final search process?
I can not find any difference between SPOS and FairNAS.
The training strategy is totally same!
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