30 lines
759 B
Python
30 lines
759 B
Python
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# model settings
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model = dict(
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type='ImageClassifier',
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backbone=dict(
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type='RevVisionTransformer',
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arch='deit-base',
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img_size=224,
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patch_size=16,
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output_cls_token=False,
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avg_token=True,
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with_cls_token=False,
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),
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neck=None,
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head=dict(
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type='LinearClsHead',
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num_classes=1000,
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in_channels=1536,
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loss=dict(
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type='LabelSmoothLoss', label_smooth_val=0.1, mode='original'),
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),
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init_cfg=[
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dict(type='TruncNormal', layer='Linear', std=.02),
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dict(type='Constant', layer='LayerNorm', val=1., bias=0.),
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],
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train_cfg=dict(augments=[
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dict(type='Mixup', alpha=0.8),
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dict(type='CutMix', alpha=1.0)
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]),
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)
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