I’m having the same issue. I use this method to increase batch_size by 100.
I plotted the training loss with 3 different settings (batch_size 200, batch_size 1 * 200 multiplier, batch_size 10 * 20 multiplier) in the following picture:

Screenshot from 2019-09-18 14-38-28.png1309×401 113 KB

As you see, these 3 loss curves are almost equivalent. But I don’t know why the test accuracy is much worse when I use this large batch multiplier. Thanks!