bimhud

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I have train almost 80thousand examples within 2000 labels，valid acc almost 92%，but test result all example prob is blew 0.01.

When having a large number of labels and the number of actual labels for each sample is small, the loss function needs to be re-considered, otherwise the accuracy is unreliable