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XuyangPan avatar XuyangPan commented on June 12, 2024

The bug record

image

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SanghyukChun avatar SanghyukChun commented on June 12, 2024

This is not a bug but a typical unstable GAN training.
We have also often observed similar unstable training as well.

Although the loss is explored from INDP_FACT, we suspect that the unstable training is originated from "cross CE" which potentially increases the classifier weight values -- we couldn't test whether this is true due to the time limitation.
If you want to make your model more stable, then I suggest you remove the "cross CE" in the following lines:

(+ In practice, we select the "last model" under stable loss values)

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8uos avatar 8uos commented on June 12, 2024

Hi, sorry for the inconvenience.
You can exclude the cross CE loss by setting the weight of cross CE loss to zero.
It can be set by giving --ac_cross_w argument when running train.py like this:

python train.py cfgs/train.yaml --ac_cross_w 0.

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SanghyukChun avatar SanghyukChun commented on June 12, 2024

Closing the issue, assuming the answer resolves the problem.
Please re-open the issue as necessary.

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