Sorry for being late.
In my case, 90% of my dataset’s have negative class and 10% of positive class (both train and validation set, binary classification problem)
How woul I use BCEWithLogitsLoss or BCELoss with theirs paremeters weights and/or pos_weight to handle my imbalanced dataset’s?
Best regards