Question about training epoch?

[gaow0007]

I have a question about the result of epoch. Why do you use 600-2000 epoch to validate the superiority of your method? I think that the epoch number is too large and sometimes I only use 200 epoch to train these tiny dataset. Any reasons about settings of epoch?

Best

[alexmlamb]

We achieved better results when running for more epochs (for both manifold mixup and our baselines), but we definitely saw an improvement with manifold mixup over input mixup for 600 epochs.

I think it helps with an even smaller number of epochs (<600) but I don't recall if I've actually run that experiment.

[vikasverma1077]

Another way to think about this is that Manifold Mixup is a stronger regularizer and hence you need more training epochs to train with it.