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Why doesn't the loss change very much after initialization? #25

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JialeChe opened this issue Jun 18, 2024 · 1 comment
Open

Why doesn't the loss change very much after initialization? #25

JialeChe opened this issue Jun 18, 2024 · 1 comment

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@JialeChe
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In training, the loss of the discriminator decreases, but the loss of the generator increases
image

@ptran1203
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It maybe the Discriminator is stronger than Generator, maybe because learning rate of D is twice higher than G. You can adjust learning rate each of them.

Beside of that, you can check if generated images look good or not. It's easier to understand indicator than loss.

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