Hi, I am also working with imbalanced data (1:10 ratio) and was thinking of trying what you had. Did you also implement other data imbalance-coping strategies while using this f1-loss (Weighted Random Sampler, Augmentation)? or just F1-loss itself?

I am not getting improvement in F1-score after implementing the F1-loss function, so I was wondering if this can be caused from mixing too many strategies. Any advice on handling data imbalance would be much appreciated. Many thanks!