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Hi thanks for the great work! It seems that the numbers of positives described in the paper is a critical parameters, but the train_loader code isn't specified of this parameter Nyi. Does that means it is ok to randomly sample images of different class?
The text was updated successfully, but these errors were encountered:
I am trying this approach on my own dataset of a binary classification task, the data is unbalanced. My loss for the pretraining stage is always around 10.00, I wonder it's because of the unbalanced data and may relate to Nyi mentioned in the paper. Can someone kindly help me out? Appreciated.
Hi thanks for the great work! It seems that the numbers of positives described in the paper is a critical parameters, but the train_loader code isn't specified of this parameter Nyi. Does that means it is ok to randomly sample images of different class?
The text was updated successfully, but these errors were encountered: