# optimizer | |
optimizer = dict(type='Adam', lr=4e-4) | |
optimizer_config = dict(grad_clip=None) | |
# learning policy | |
lr_config = dict( | |
policy='step', | |
warmup='linear', | |
warmup_iters=100, | |
warmup_ratio=1.0 / 3, | |
step=[11]) | |
runner = dict(type='EpochBasedRunner', max_epochs=12) | |
checkpoint_config = dict(interval=1) | |