I have trained a WAN with gradient penalty and the loss values seem to me much higher than the examples I have seen on the net. The generator receives 2 images as input and must generate a prediction of a possible middle image (such as a middle frame between two consecutive frames of a video) and the discriminator receives 3 images as input and must understand if the second image is a possible image that is between the first and third.
These are the loss functions during training:
I am training the network for another 15 epochs now and the generator loss has reached values like -300 in some epochs, while in others it returns to low values. However, the results seem to be improving. Are these values normal or is there something wrong?
