mmocr-demo / configs /_base_ /schedules /schedule_adam_step_20e.py
Xianbao QIAN
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# optimizer
optimizer = dict(type='Adam', lr=1e-4)
optimizer_config = dict(grad_clip=None)
# learning policy
lr_config = dict(
policy='step',
step=[16, 18],
warmup='linear',
warmup_iters=1,
warmup_ratio=0.001,
warmup_by_epoch=True)
# running settings
runner = dict(type='EpochBasedRunner', max_epochs=20)
checkpoint_config = dict(interval=1)