image - Is batch size of 8 too small to train imagenet data? -


i wish try train imagenet scratch. however, spu support batch size of 8. papers , github repo, people seem use batch size of more 8. can know if small? right now, unable result it.

it depends on factors:

  • the architecture using, architectures work better higher batch size others not.
  • the memory available, in several times, using lots of examples per batch better limited memory available (using cpu or gpu)
  • the training time. if can train model per days per weeks or set of hours can give idea how many epoch , batch size better.

as see it's difficult answer specific number that's reason why researchers try differents parameter analyze how impact final model.


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