how many epoch for training 1k images
am doing training for detecting the objects using yolov3 but i face some problem when i set batch_size &gt; 1 it causes me cuda out of memory so i searched in google to see another solution found it depends on my GPU (GTX 1070 8G) .
may be the number of epoch is  high and it require to be optimized .
maybe the epoch number should be decreased? and for training 1k images and 200 pic for validations .
what is best epoch should i set to avoid overfitting?

your model's overfitting wont depend on the no. of epochs you set.....
since you hav made a val split in your data, make sure that your train loss - val loss OR train acc - val acc is nearly the same.This will assure that your model is not overfitting
