mmpretrain/configs/resnet/resnet50_8xb16_cifar100.py

11 lines
352 B
Python

_base_ = [
'../_base_/models/resnet50_cifar.py',
'../_base_/datasets/cifar100_bs16.py',
'../_base_/schedules/cifar10_bs128.py', '../_base_/default_runtime.py'
]
model = dict(head=dict(num_classes=100))
optimizer = dict(type='SGD', lr=0.1, momentum=0.9, weight_decay=0.0005)
lr_config = dict(policy='step', step=[60, 120, 160], gamma=0.2)