Hello, I have exactly the same problem. Have you find something interesting ?
For the moment I am trying to normalize the CrossEntropyLoss by setting reduction parameter to True. The problem is as you said… CrossEntropy could take values bigger than 1.
I am actually trying with Loss = CE - log(dice_score) where dice_score is dice coefficient (opposed as the dice_loss where basically dice_loss = 1 - dice_score. I will wait for the results but some hints or help would be really helpful