mmclassification/configs/deit/deit-small-distilled_pt-4xb...

13 lines
392 B
Python

_base_ = './deit-small_pt-4xb256_in1k.py'
# model settings
model = dict(
backbone=dict(type='DistilledVisionTransformer', arch='deit-small'),
head=dict(type='DeiTClsHead', in_channels=384),
)
# NOTE: `auto_scale_lr` is for automatically scaling LR,
# USER SHOULD NOT CHANGE ITS VALUES.
# base_batch_size = (4 GPUs) x (256 samples per GPU)
auto_scale_lr = dict(base_batch_size=1024)