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This is more of a question for the original algorithm. You might have noticed that WGAN does not converge with longer training, which is why you set the number of steps to be 1500. I changed to a larger number and then some instability happens after 1500 iterations.
Do you have any idea why this happens? WGAN paper suggests that W-distance of zero can be used as early stopping, but I think the algorithm should still converge stably afterwards.
The text was updated successfully, but these errors were encountered:
zhihanyang2022
changed the title
Does not convergence with longe training
Does not convergence with longer training
Nov 27, 2021
This is more of a question for the original algorithm. You might have noticed that WGAN does not converge with longer training, which is why you set the number of steps to be 1500. I changed to a larger number and then some instability happens after 1500 iterations.
Do you have any idea why this happens? WGAN paper suggests that W-distance of zero can be used as early stopping, but I think the algorithm should still converge stably afterwards.
The text was updated successfully, but these errors were encountered: