This is nice. But fine-tuning a small model to match a big model and then using the large model to compare the results is troublesome. The same underlying data going round and round ought to result in something like overfitting. Does that happen?
Who else is better equipped to evaluate the students learning?
Some other random teacher, unfamiliar with what has been taught?