Yes, Its kind of the same so if you want to save time you could join the two evaluation together (the one for loss and the one for ap).

It increases the training time for sure. But you can play with the EVAL_ITER parameter and just make it bigger to perform less inference on validation so it doesn’t have a huge impact on performance