25 lines
659 B
Python
25 lines
659 B
Python
_base_ = [
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'../_base_/models/convnext_v2/nano.py',
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'../_base_/datasets/imagenet_bs64_swin_384.py',
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'../_base_/schedules/imagenet_bs1024_adamw_swin.py',
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'../_base_/default_runtime.py',
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]
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# dataset setting
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train_dataloader = dict(batch_size=32)
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# schedule setting
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optim_wrapper = dict(
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optimizer=dict(lr=8e-4, weight_decay=0.3),
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clip_grad=None,
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)
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# learning policy
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param_scheduler = [dict(type='CosineAnnealingLR', eta_min=1e-5, by_epoch=True)]
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# train, val, test setting
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train_cfg = dict(by_epoch=True, max_epochs=600, val_interval=1)
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# runtime setting
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custom_hooks = [dict(type='EMAHook', momentum=1e-4, priority='ABOVE_NORMAL')]
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