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Graphs of accuracy and loss during final training process #97

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dhlee-jubilee opened this issue Apr 30, 2019 · 1 comment
Open

Graphs of accuracy and loss during final training process #97

dhlee-jubilee opened this issue Apr 30, 2019 · 1 comment

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@dhlee-jubilee
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Compared to the normal training process, train acc continues to increase and losses should continue to decline. However, the ENAS process shows that there are periodically periods in which the performance decreases drastically during the training process.
What parameters caused this results?

q2
q1

@AlanChou
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AlanChou commented Apr 30, 2019

Hi, I suppose you're showing the results of running micro_final.sh or macro_final.sh.
This phenomenon is due to the cosine learning rate scheduling with restart.

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