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Published 20 hours ago • verified publisher icon xingjunm

Training option

Open pokaxpoka opened this issue 6 years ago • 1 comments

Hi, thank you for sharing the code. Is it possible to clarify the all training options (e.g., python train_model.py -d mnist -m d2l -e 50 -b 128 -r 40 ) for the results on the paper? It'll be very useful in reproducing your results.

Thanks

pokaxpoka avatar Aug 19 '18 21:08 pokaxpoka

For CIFAR-10:

  1. clean: train_model.py '-d', 'cifar-10', '-m', 'd2l', '-e', '120', '-b', '128', '-r', '0'
  2. 20%: train_model.py '-d', 'cifar-10', '-m', 'd2l', '-e', '120', '-b', '128', '-r', '20'
  3. 40%: train_model.py '-d', 'cifar-10', '-m', 'd2l', '-e', '120', '-b', '128', '-r', '40'
  4. 60%: train_model.py '-d', 'cifar-10', '-m', 'd2l', '-e', '120', '-b', '128', '-r', '60'

xingjunm avatar Nov 07 '18 06:11 xingjunm