diff --git a/trainer.py b/trainer.py
index 1eef06c..99ba853 100644
--- a/trainer.py
+++ b/trainer.py
@@ -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
 
 
@@ -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