Hi am having a binary classification problem and using BCELossWithLogits. However, my predictions are negative values (e.g. [-0.263, -0.308, -0.449, -0.279]). Before, when I was using BCELoss with Sigmoid, I received probabilities as output as I was expecting. I am using auc_roc_score to compare the predictions to my targets (which are either 0 or 1). I read the docs and it says that the output of BCELossWithLogits is the negative logarithm of the sigmoid (but the example stills shows a positive value). Does someone know how I have to modify my predictions in order to get the probabilities or am I doing something wrong?