18 lines
545 B
Python
18 lines
545 B
Python
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_base_ = [
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'../_base_/models/deit3/deit3-small-p16-384.py',
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'../_base_/datasets/imagenet_bs64_deit3_384.py',
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'../_base_/schedules/imagenet_bs4096_AdamW.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=64)
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# schedule settings
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optim_wrapper = dict(optimizer=dict(lr=1e-5, weight_decay=0.1))
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# NOTE: `auto_scale_lr` is for automatically scaling LR
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# based on the actual training batch size.
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# base_batch_size = (64 GPUs) x (64 samples per GPU)
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auto_scale_lr = dict(base_batch_size=4096)
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