mmocr/configs/_base_/schedules/schedule_adadelta_5e.py

# optimizer
optimizer = dict(type='Adadelta', lr=1.0)
optimizer_config = dict(grad_clip=None)
# learning policy
lr_config = dict(policy='step', step=[])
# running settings
runner = dict(type='EpochBasedRunner', max_epochs=5)
checkpoint_config = dict(interval=1)
[Refactor] refactor textrecog config structure (#617) * refactor configs of textrecog * remove duplicate key in config _base_ * fix typo * rename dataset config file 2021-11-25 16:27:45 +08:00			`# optimizer`
			`optimizer = dict(type='Adadelta', lr=1.0)`
			`optimizer_config = dict(grad_clip=None)`
			`# learning policy`
			`lr_config = dict(policy='step', step=[])`
[Enhancement] Add SynthText dataset config (#983) * add synthtext config; add db pretrain config; move checkpoint config to schedule * add db_r50 synthtext config * fix r50 eval iter * fix lint * fix 2022-05-05 12:57:07 +08:00			`# running settings`
[Enhancement] Update Dataset Configs (#980) * update runner in configs * update AnnFileLoader 2022-04-27 12:53:57 +08:00			`runner = dict(type='EpochBasedRunner', max_epochs=5)`
[Enhancement] Add SynthText dataset config (#983) * add synthtext config; add db pretrain config; move checkpoint config to schedule * add db_r50 synthtext config * fix r50 eval iter * fix lint * fix 2022-05-05 12:57:07 +08:00			`checkpoint_config = dict(interval=1)`