mmpretrain/configs/_base_/models/revvit/revvit-base.py

28 lines
705 B
Python

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