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In your code, you minimized -(oloss + nloss).mean()
-(oloss + nloss).mean()
which means (oloss+nloss) should be large. So, "oloss become large and nloss become small " is expected.
Although -(oloss+nloss) decrease, I got oloss become small and nloss become large, how so?
The text was updated successfully, but these errors were encountered:
Thank you for the feedback. Can you provide a reduced, reproducible case sample? Like, small dataset and a configuration for it.
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When computing nloss, the author uses function .neg to make the nloss smaller when training.
nloss
.neg
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In your code, you minimized
-(oloss + nloss).mean()
which means (oloss+nloss) should be large.
So, "oloss become large and nloss become small " is expected.
Although -(oloss+nloss) decrease, I got oloss become small and nloss become large, how so?
The text was updated successfully, but these errors were encountered: