Hi,
I trained a deep neural network for multi-label classification. When I used the ‘mean’ reduction in the BCEWithLogitsLoss, the results are so low and when I changed it to ‘sum’, the results get so much better. What does this say about my model? Is there any problem with the gradient value in the first model?
Thanks