To prevent the net from performing poorly on nontraining (validation, test and unseen data) while learning well on training data, training stops if the validation performance degrades for 6 (default) consecutive epochs. The procedure is called
VALIDATION STOPPING.
Hope this helps.
Thank you for formally accepting my answer
Greg
