NaN Loss
Opened this issue · 1 comments
slefcourt27 commented
Hi,
Thanks for releasing your code publicly. I have been encountering problems training this using the BTCV dataset as well as my own during training. I notice that the loss quickly becomes NaN before 100 epochs. Did you encounter this same issue? I am using the same library packages, pytorch and python versions. If you did encounter this during your experiments, will you please share your approach to handling it?
MarkonH commented
Hello,
I encountered the same issue while training on my dataset. Do you happen to know the cause or have you found a solution?
I would greatly appreciate any insights or advice you could share. Thank you very much in advance!