I'm quite confused about the convergence of pix2pix cGAN, how can we tell whether my model is well trained?
Create a test set, by taking a subset of the training set (make sure to not train on this test set!). Then evaluate the model against the given labels in the test set.
Also, this trick is very useful generally, since it works for any supervised machine learning model.