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Feature/lr milestones #37

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Feature/lr milestones #37

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7b3ab53
add parser arg to set lr milestone for training
JonnaMat Mar 30, 2023
78a87f1
remove print statement from testing
JonnaMat Mar 30, 2023
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4 changes: 3 additions & 1 deletion trainer.py
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Original file line number Diff line number Diff line change
Expand Up @@ -55,6 +55,8 @@
parser.add_argument('--save-every', dest='save_every',
help='Saves checkpoints at every specified number of epochs',
type=int, default=10)
parser.add_argument('--lr-milestones', default=[100, 150], nargs='+',
help='list of epoch indices for multi step learning rate scheduler', type=int)
best_prec1 = 0


Expand Down Expand Up @@ -118,7 +120,7 @@ def main():
weight_decay=args.weight_decay)

lr_scheduler = torch.optim.lr_scheduler.MultiStepLR(optimizer,
milestones=[100, 150], last_epoch=args.start_epoch - 1)
milestones=args.lr_milestones, last_epoch=args.start_epoch - 1)

if args.arch in ['resnet1202', 'resnet110']:
# for resnet1202 original paper uses lr=0.01 for first 400 minibatches for warm-up
Expand Down