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https://github.com/open-mmlab/mmselfsup.git
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26 lines
754 B
Python
26 lines
754 B
Python
_base_ = [
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'../_base_/models/deepcluster.py',
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'../_base_/datasets/imagenet_deepcluster.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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model = dict(head=dict(num_classes={{_base_.num_classes}}))
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# optimizer
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optimizer = dict(
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type='SGD',
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lr=0.1,
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momentum=0.9,
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weight_decay=1e-5,
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paramwise_options={'\\Ahead.': dict(momentum=0.)})
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# learning policy
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lr_config = dict(policy='step', step=[400])
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# runtime settings
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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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