Agreed with Aryan. Also, I believe that you should balance, i.e. normalize, your losses rather than simply adding them up.
The standard practice is to pre-train your teacher, save it. And while training the student you take a linear combination of two losses as your loss function.

A loss between the gold labels and student’s prediction
A loss between the teacher’s prediction and the student’s prediction

This is the pattern followed by the TinyBERT paper. I’ve done this in practice as well and it works pretty decently.