mmpretrain/configs/_base_/schedules/imagenet_bs256_epochstep.py

# optimizer
optimizer = dict(type='SGD', lr=0.045, momentum=0.9, weight_decay=0.00004)
# learning policy
param_scheduler = dict(type='StepLR', by_epoch=True, step_size=1, gamma=0.98)

# train, val, test setting
train_cfg = dict(by_epoch=True, max_epochs=300)
val_cfg = dict(interval=1)  # validate every epoch
test_cfg = dict()
Add configs for MNIST, CIFAR10 and ImageNet 2020-07-09 23:59:10 +08:00			`# optimizer`
			`optimizer = dict(type='SGD', lr=0.045, momentum=0.9, weight_decay=0.00004)`
			`# learning policy`
Refactor scheduler configuration 2022-05-23 09:31:57 +00:00			`param_scheduler = dict(type='StepLR', by_epoch=True, step_size=1, gamma=0.98)`

			`# train, val, test setting`
			`train_cfg = dict(by_epoch=True, max_epochs=300)`
			`val_cfg = dict(interval=1) # validate every epoch`
			`test_cfg = dict()`