23 lines
754 B
Python
23 lines
754 B
Python
# 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='Conformer', arch='small', drop_path_rate=0.1, init_cfg=None),
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neck=None,
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head=dict(
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type='ConformerHead',
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num_classes=1000,
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in_channels=[1024, 384],
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init_cfg=None,
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loss=dict(
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type='LabelSmoothLoss', label_smooth_val=0.1, mode='original'),
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cal_acc=False),
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init_cfg=[
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dict(type='TruncNormal', layer='Linear', std=0.02, bias=0.),
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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='BatchMixup', alpha=0.8, num_classes=1000, prob=0.5),
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dict(type='BatchCutMix', alpha=1.0, num_classes=1000, prob=0.5)
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]))
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