57 lines
1.3 KiB
Python
57 lines
1.3 KiB
Python
_base_ = [
|
|
'../_base_/models/resnet50.py',
|
|
'../_base_/datasets/imagenet_bs256_rsb_a12.py',
|
|
'../_base_/schedules/imagenet_bs2048_rsb.py',
|
|
'../_base_/default_runtime.py'
|
|
]
|
|
|
|
# model settings
|
|
model = dict(
|
|
backbone=dict(
|
|
norm_cfg=dict(type='SyncBN', requires_grad=True),
|
|
drop_path_rate=0.05,
|
|
),
|
|
head=dict(
|
|
loss=dict(
|
|
type='LabelSmoothLoss',
|
|
label_smooth_val=0.1,
|
|
mode='original',
|
|
use_sigmoid=True,
|
|
)),
|
|
train_cfg=dict(augments=[
|
|
dict(type='Mixup', alpha=0.2),
|
|
dict(type='CutMix', alpha=1.0)
|
|
]),
|
|
)
|
|
|
|
# dataset settings
|
|
train_dataloader = dict(sampler=dict(type='RepeatAugSampler', shuffle=True))
|
|
|
|
# schedule settings
|
|
optim_wrapper = dict(
|
|
optimizer=dict(weight_decay=0.01),
|
|
paramwise_cfg=dict(bias_decay_mult=0., norm_decay_mult=0.),
|
|
)
|
|
|
|
param_scheduler = [
|
|
# warm up learning rate scheduler
|
|
dict(
|
|
type='LinearLR',
|
|
start_factor=0.0001,
|
|
by_epoch=True,
|
|
begin=0,
|
|
end=5,
|
|
# update by iter
|
|
convert_to_iter_based=True),
|
|
# main learning rate scheduler
|
|
dict(
|
|
type='CosineAnnealingLR',
|
|
T_max=595,
|
|
eta_min=1.0e-6,
|
|
by_epoch=True,
|
|
begin=5,
|
|
end=600)
|
|
]
|
|
|
|
train_cfg = dict(by_epoch=True, max_epochs=600)
|