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Explicitly set weight_decay value #8592

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Merged
merged 3 commits into from
Jul 16, 2022
Merged

Explicitly set weight_decay value #8592

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bf39c0f
explicitly set weight_decay value
developer0hye Jul 16, 2022
938559f
[pre-commit.ci] auto fixes from pre-commit.com hooks
pre-commit-ci[bot] Jul 16, 2022
7779571
Cleanup
glenn-jocher Jul 16, 2022
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4 changes: 2 additions & 2 deletions train.py
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Original file line number Diff line number Diff line change
Expand Up @@ -163,12 +163,12 @@ def train(hyp, opt, device, callbacks): # hyp is path/to/hyp.yaml or hyp dictio
if opt.optimizer == 'Adam':
optimizer = Adam(g[2], lr=hyp['lr0'], betas=(hyp['momentum'], 0.999)) # adjust beta1 to momentum
elif opt.optimizer == 'AdamW':
optimizer = AdamW(g[2], lr=hyp['lr0'], betas=(hyp['momentum'], 0.999)) # adjust beta1 to momentum
optimizer = AdamW(g[2], lr=hyp['lr0'], betas=(hyp['momentum'], 0.999), weight_decay=0.0)
else:
optimizer = SGD(g[2], lr=hyp['lr0'], momentum=hyp['momentum'], nesterov=True)

optimizer.add_param_group({'params': g[0], 'weight_decay': hyp['weight_decay']}) # add g0 with weight_decay
optimizer.add_param_group({'params': g[1]}) # add g1 (BatchNorm2d weights)
optimizer.add_param_group({'params': g[1], 'weight_decay': 0.0}) # add g1 (BatchNorm2d weights)
LOGGER.info(f"{colorstr('optimizer:')} {type(optimizer).__name__} with parameter groups "
f"{len(g[1])} weight (no decay), {len(g[0])} weight, {len(g[2])} bias")
del g
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