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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: enter image description here

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?

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