43 lines
1.1 KiB
Python
43 lines
1.1 KiB
Python
_base_ = [
|
|
'../_base_/models/simclr.py',
|
|
'../_base_/datasets/imagenet_simclr.py',
|
|
'../_base_/schedules/lars_coslr-200e_in1k.py',
|
|
'../_base_/default_runtime.py',
|
|
]
|
|
|
|
# optimizer
|
|
optimizer = dict(
|
|
type='LARS',
|
|
lr=0.3,
|
|
momentum=0.9,
|
|
weight_decay=1e-6,
|
|
paramwise_options={
|
|
'(bn|gn)(\\d+)?.(weight|bias)':
|
|
dict(weight_decay=0., lars_exclude=True),
|
|
'bias': dict(weight_decay=0., lars_exclude=True)
|
|
})
|
|
|
|
# learning rate scheduler
|
|
param_scheduler = [
|
|
dict(
|
|
type='LinearLR',
|
|
start_factor=1e-4,
|
|
by_epoch=True,
|
|
begin=0,
|
|
end=10,
|
|
convert_to_iter_based=True),
|
|
dict(
|
|
type='CosineAnnealingLR',
|
|
T_max=190,
|
|
eta_min=0.,
|
|
by_epoch=True,
|
|
begin=10,
|
|
end=200)
|
|
]
|
|
|
|
# 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)
|