ce_loss with loss_mask however ce_loss2 without

[Dabulv]

In model.py/_build_loss(), when computing the average loss of start position ce_loss, loss_mask is used to avoid counting in these samples where 0 == len(question). However, when computing the average loss at stop position ce_loss2, loss_mask is missed.