mmselfsup/configs/benchmarks/classification/imagenet/resnet50_8xb32-steplr-100e_...

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641 B
Python

_base_ = [
'../_base_/models/resnet50.py',
'../_base_/datasets/imagenet.py',
'../_base_/schedules/sgd_steplr-100e.py',
'../_base_/default_runtime.py',
]
model = dict(backbone=dict(frozen_stages=4))
evaluation = dict(interval=1, topk=(1, 5))
# moco setting
# optimizer
optimizer = dict(type='SGD', lr=30., momentum=0.9, weight_decay=0.)
# runtime settings
# the max_keep_ckpts controls the max number of ckpt file in your work_dirs
# if it is 3, when CheckpointHook (in mmcv) saves the 4th ckpt
# it will remove the oldest one to keep the number of total ckpts as 3
checkpoint_config = dict(interval=10, max_keep_ckpts=3)