training loss result - Githubissues

Junshk / CinCGAN-pytorch

Unofficial Implementation of "Unsupervised Image Super-Resolution using Cycle-in-Cycle Generative Adversarial Networks" in CVPR 2018.

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Open fredlll opened 5 years ago

fredlll commented 5 years ago

Hi, what is your loss after training step 1? How can I know my loss is stable to begin training step 2? Is there a rough guideline?

I used 10 GPUs and after 30 epochs now the loss is

===> Epoch28: Loss: idt 0.000000 0.037730 cyc 0.000000 0.005994 D 0.000000 0.464715, G: 0.000000 0.284303, psnr_hr: 16.187803, psnr_lr 7.150141

and it is not improving