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Is the attribution "lr" controlling learning rate? #34

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Caoang327 opened this issue May 3, 2021 · 0 comments
Open

Is the attribution "lr" controlling learning rate? #34

Caoang327 opened this issue May 3, 2021 · 0 comments

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@Caoang327
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Caoang327 commented May 3, 2021 •
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Hey.
Thanks for the great project and code.
I am running the code by myself and I just wonder does the "lr" in the train.sh actually control anything?
In the model/base_model.py, the learning rates for G and D are specified by lr_g and lr_d (line 21),
and it seems that lr_g and lr_d are default values that are different from the reported number in the paper.
I just wonder is my understanding correct?
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