mirror of
https://github.com/open-mmlab/mmpretrain.git
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89000c10eb
* update base datasets * update base * update barlowtwins * update with new convention * update * update * update * add schedule * add densecl * add eva * add mae * add maskfeat * add milan and mixmim * add moco * add swav simclr * add simmim and simsiam * refine * update * add to model index * update config inheritance * fix error in metafile * Update pre-commit and metafile check script * update metafile * fix name error * Fix classification model name and config name --------- Co-authored-by: mzr1996 <mzr1996@163.com>
16 lines
399 B
Python
16 lines
399 B
Python
_base_ = [
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'../_base_/models/vit-large-p32.py',
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'../_base_/datasets/imagenet_bs64_pil_resize_autoaug.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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# model setting
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model = dict(
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head=dict(hidden_dim=3072),
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train_cfg=dict(augments=dict(type='Mixup', alpha=0.2)),
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)
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# schedule setting
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optim_wrapper = dict(clip_grad=dict(max_norm=1.0))
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