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Add weight `decay` to argparser (#9006) 

Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>

Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
pull/9007/head
Glenn Jocher 2022-08-17 22:57:55 +02:00 committed by GitHub
parent 0922bc2082
commit 6728dad76d
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1 changed files with 2 additions and 1 deletions
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classify/train.py
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@ -136,7 +136,7 @@ def train(opt, device):
logger.log_graph(model, imgsz) # log model
# Optimizer
optimizer = smart_optimizer(model, opt.optimizer, opt.lr0, momentum=0.9, decay=5e-5)
optimizer = smart_optimizer(model, opt.optimizer, opt.lr0, momentum=0.9, decay=opt.decay)
# Scheduler
lrf = 0.01 # final lr (fraction of lr0)
@ -280,6 +280,7 @@ def parse_opt(known=False):
parser.add_argument('--pretrained', nargs='?', const=True, default=True, help='start from i.e. --pretrained False')
parser.add_argument('--optimizer', choices=['SGD', 'Adam', 'AdamW', 'RMSProp'], default='Adam', help='optimizer')
parser.add_argument('--lr0', type=float, default=0.001, help='initial learning rate')
parser.add_argument('--decay', type=float, default=5e-5, help='weight decay')
parser.add_argument('--label-smoothing', type=float, default=0.1, help='Label smoothing epsilon')
parser.add_argument('--cutoff', type=int, default=None, help='Model layer cutoff index for Classify() head')
parser.add_argument('--dropout', type=float, default=None, help='Dropout (fraction)')