Comments (1)
Hi,
Thank you for pointing it out. In this implementation of the code, an extra log(softmax) has been used. The CE loss already has log(softmax). So effectively, the code actually does log(softmax(log(softmax))).
I ran some experiments removing the extra terms and the results were mostly the same (margin of difference being 0.2 dice ). Technically, using an extra log(softmax) does not change the scale of the values; so we observe that the training is as stable as using the normal CE. However, I agree that it is not needed. I will correct the code in the next commit.
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