I have a time series dataset. Each sample is 605 (LC). And I have about a billion samples.(Currently just testing with a million). Just wondering what sample size should I use? Still range from 64 to 512? Is it too small?

I tested 2^9 – 2^12, the model converge very slow or even doesn’t converge at all when I set batch size above 2^11.