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https://github.com/open-mmlab/mmpretrain.git
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88e5ba28db
* repr repvgg * add VisionRRC * uodate repvgg configs * add BCD seriers cfgs * add cv backend config * add vision configs * add L2se configs * add ra configs * add num-works configs * add num-works configs * configs * update README * rm extra config * reset un-needed changes * update * reset pbn * update readme * update code * update code * refine doc
29 lines
675 B
Python
29 lines
675 B
Python
_base_ = './repvgg-B3_8xb32_in1k.py'
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model = dict(backbone=dict(arch='D2se'), head=dict(in_channels=2560))
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param_scheduler = [
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# warm up learning rate scheduler
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dict(
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type='LinearLR',
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start_factor=0.0001,
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by_epoch=True,
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begin=0,
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end=5,
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# update by iter
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convert_to_iter_based=True),
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# main learning rate scheduler
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dict(
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type='CosineAnnealingLR',
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T_max=295,
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eta_min=1.0e-6,
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by_epoch=True,
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begin=5,
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end=300)
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]
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train_cfg = dict(by_epoch=True, max_epochs=300)
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default_hooks = dict(
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checkpoint=dict(type='CheckpointHook', interval=1, max_keep_ckpts=3))
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