mmpretrain/configs/hornet/hornet-base-gf_8xb64_in1k.py

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_base_ = [
'../_base_/models/hornet/hornet-base-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=64)
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')]