Unstable Content_Loss for validation

[NoviceCrom]

During the training process, I observed that my Val_G_Loss curve was quite abnormal using RAGAN-LS due to the unstable Val_Content_Loss. All metrics appear normal except that the curve of Validation_Content_Loss metric on tensorboard fluctuates severely. Is there anything I can do to improve its stability? Also, I found the configuration in the paper differs from that in the released code. For example, total trianing epochs, the number of start_epoch when decay starts and the lamda_adv. @Sandbox3aster @t-martyniuk

[yfthu]

I meet the same problem

[longint1024]

I meet the same problem, too. Have you solved the problem? I found the G-loss is totally random, though the effect of deblurring is getting better.