title: Choosing bach size and learning rate for large datastet
body: <p>The dataset has around 2.5 million rows, and I'm using a 80/20 train test split.
  I read some answers here and some papers regarding this which suggest batch sizes of 32 or 64. But wouldn't that be extremely small relative to the size of the dataset?
  I previously trained with a bath size of10000 and LR of 1e-2 but did not get a good accuracy.</p>
  <p>What values would be optimal for a dataset this large?</p>