Switch default LR scheduler from cos to linear (#6729)
Browse files* Switch default LR scheduler from cos to linear
Based on empirical results of training both ways on all YOLOv5 models.
* linear bug fix
train.py
CHANGED
@@ -176,10 +176,10 @@ def train(hyp, # path/to/hyp.yaml or hyp dictionary
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del g0, g1, g2
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# Scheduler
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if opt.
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lf = lambda x: (1 - x / (epochs - 1)) * (1.0 - hyp['lrf']) + hyp['lrf'] # linear
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else:
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lf = one_cycle(1, hyp['lrf'], epochs) # cosine 1->hyp['lrf']
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scheduler = lr_scheduler.LambdaLR(optimizer, lr_lambda=lf) # plot_lr_scheduler(optimizer, scheduler, epochs)
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# EMA
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@@ -479,7 +479,7 @@ def parse_opt(known=False):
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parser.add_argument('--name', default='exp', help='save to project/name')
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parser.add_argument('--exist-ok', action='store_true', help='existing project/name ok, do not increment')
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parser.add_argument('--quad', action='store_true', help='quad dataloader')
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parser.add_argument('--
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parser.add_argument('--label-smoothing', type=float, default=0.0, help='Label smoothing epsilon')
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parser.add_argument('--patience', type=int, default=100, help='EarlyStopping patience (epochs without improvement)')
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parser.add_argument('--freeze', nargs='+', type=int, default=[0], help='Freeze layers: backbone=10, first3=0 1 2')
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del g0, g1, g2
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# Scheduler
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+
if opt.cos_lr:
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lf = one_cycle(1, hyp['lrf'], epochs) # cosine 1->hyp['lrf']
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else:
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lf = lambda x: (1 - x / epochs) * (1.0 - hyp['lrf']) + hyp['lrf'] # linear
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scheduler = lr_scheduler.LambdaLR(optimizer, lr_lambda=lf) # plot_lr_scheduler(optimizer, scheduler, epochs)
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# EMA
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parser.add_argument('--name', default='exp', help='save to project/name')
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parser.add_argument('--exist-ok', action='store_true', help='existing project/name ok, do not increment')
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parser.add_argument('--quad', action='store_true', help='quad dataloader')
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+
parser.add_argument('--cos-lr', action='store_true', help='cosine LR scheduler')
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parser.add_argument('--label-smoothing', type=float, default=0.0, help='Label smoothing epsilon')
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parser.add_argument('--patience', type=int, default=100, help='EarlyStopping patience (epochs without improvement)')
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parser.add_argument('--freeze', nargs='+', type=int, default=[0], help='Freeze layers: backbone=10, first3=0 1 2')
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