@ptrblck , Thank you for responding.



 ptrblck:

Wouldn’t this mean that the model training is respecting the other losses primarily (as they are reduced to 0), while txty_loss might increase?


What does this mean exactly? But txty_loss decreases but then just remains kinda constant. If the model indeed respects the other losses than txty_loss, why though?
Regarding the values,
so the txty_loss should have the highest weight?