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- # optimizer
- optimizer = dict(type='SGD', lr=0.02, momentum=0.9, weight_decay=0.0001)
- optimizer_config = dict(grad_clip=None)
- # learning policy
- lr_config = dict(
- policy='step',
- warmup='linear',
- warmup_iters=500,
- warmup_ratio=0.001,
- step=[16, 22])
- runner = dict(type='EpochBasedRunner', max_epochs=24)
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