mmpretrain/configs/hornet/hornet-tiny-gf_8xb128_in1k.py

13 lines
397 B
Python

_base_ = [
'../_base_/models/hornet/hornet-tiny-gf.py',
'../_base_/datasets/imagenet_bs64_swin_224.py',
'../_base_/schedules/imagenet_bs1024_adamw_swin.py',
'../_base_/default_runtime.py',
]
data = dict(samples_per_gpu=128)
optim_wrapper = dict(optimizer=dict(lr=4e-3), clip_grad=dict(max_norm=1.0))
custom_hooks = [dict(type='EMAHook', momentum=4e-5, priority='ABOVE_NORMAL')]