mirror of
https://github.com/open-mmlab/mmselfsup.git
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34 lines
923 B
Python
34 lines
923 B
Python
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_base_ = [
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'../_base_/models/relative-loc.py',
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'../_base_/datasets/imagenet_relative-loc.py',
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'../_base_/schedules/sgd_steplr-200e_in1k.py',
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'../_base_/default_runtime.py',
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]
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# optimizer
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optimizer = dict(
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type='SGD',
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lr=0.2,
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weight_decay=1e-4,
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momentum=0.9,
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paramwise_options={
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'\\Aneck.': dict(weight_decay=5e-4),
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'\\Ahead.': dict(weight_decay=5e-4)
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})
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# learning policy
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lr_config = dict(
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policy='step',
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step=[30, 50],
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warmup='linear',
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warmup_iters=5, # 5 ep
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warmup_ratio=0.1,
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warmup_by_epoch=True)
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# runtime settings
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runner = dict(type='EpochBasedRunner', max_epochs=70)
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# the max_keep_ckpts controls the max number of ckpt file in your work_dirs
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# if it is 3, when CheckpointHook (in mmcv) saves the 4th ckpt
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# it will remove the oldest one to keep the number of total ckpts as 3
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checkpoint_config = dict(interval=10, max_keep_ckpts=3)
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