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Hello, thank you very much for your excellent work, but when I was about to reproduce your work recently, I got an error that showed "loss=nan", I was training on the A5000GPU, what is the reason for this?
The text was updated successfully, but these errors were encountered:
Hi, thank you for posting this issue. We did not observe this problem in our testing. I am not sure whether this is caused by some corrupted data samples. Can you first try to filter the loss with function torch.nan_to_num and see if it helps?
Hello, thank you very much for your reply. I had a problem in the process of training, I didn't make any changes, in the first or second round of training there would be "loss=nan", I tried to adjust the learning rate, but it didn't work. I used an A5000 graphics card for reproduction
Hello, thank you very much for your excellent work, but when I was about to reproduce your work recently, I got an error that showed "loss=nan", I was training on the A5000GPU, what is the reason for this?
The text was updated successfully, but these errors were encountered: