How much should I augment my data?

Hi, apologies if this is a dumb question. I googled it, and I couldn't find anything relevant, so I thought I'd ask here. If there's a good resource I can read on the matter, feel free to just post a link.

I'm attempting to train a mobilenet model. I'm able to get reasonably good results using a couple hundred images, that have been augmented to a few thousand images. I obviously want to increase the size of the main dataset, but should I also increase the number of ways the data has been augmented?

Thanks!