_base_ = 'mocov3_resnet50_8xb512-coslr-100e_in1k.py'

# optimizer
optimizer = dict(type='LARS', lr=4.8, weight_decay=1e-6)
optim_wrapper = dict(optimizer=optimizer)

# learning rate scheduler
param_scheduler = [
    dict(
        type='LinearLR',
        start_factor=1e-4,
        by_epoch=True,
        begin=0,
        end=10,
        convert_to_iter_based=True),
    dict(
        type='CosineAnnealingLR',
        T_max=290,
        by_epoch=True,
        begin=10,
        end=300,
        convert_to_iter_based=True)
]

# runtime settings
train_cfg = dict(type='EpochBasedTrainLoop', max_epochs=300)
