What should the losses look like when training is in a good direction?

[gdwei]

Hi, guys, I do not have much experience about training a GAN,
so it would be appreicated if some of you can tell me how should the losses change when the network is normally trained.
It can definetly save me a lot of time until waiting for the training end, and stop it at the early stage when I can judge that it would not give me good results.

Thanks in advance.

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Currently in my training, the generator loss slowly goes down from around 1500 to about 50, but the discrimintor loss does not change a lot, it keep jittering aound.

Hope someone can give me some directions for improving the training.
Modify the weights for different losses? or change the network?

Y axis: G_loss or D_loss
X axis: # of steps/iters