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I have reimplemented the SVX-loss function in tensorflow and I've made unit tests to verify the correct behaviour of it. However, when I train a Resnet50 architecture from scratch using SVX loss and MS1Mv2 dataset (the purged one) the loss diverges rapidly. Have you experienced something similar? Any recommendation or idea?
The text was updated successfully, but these errors were encountered:
I have reimplemented the SVX-loss function in tensorflow and I've made unit tests to verify the correct behaviour of it. However, when I train a Resnet50 architecture from scratch using SVX loss and MS1Mv2 dataset (the purged one) the loss diverges rapidly. Have you experienced something similar? Any recommendation or idea?
The text was updated successfully, but these errors were encountered: