mmocr/configs/_base_/schedules/schedule_adadelta_18e.py

# optimizer
optimizer = dict(type='Adadelta', lr=0.5)
optimizer_config = dict(grad_clip=dict(max_norm=0.5))
# learning policy
lr_config = dict(policy='step', step=[8, 14, 16])
# running settings
runner = dict(type='EpochBasedRunner', max_epochs=18)
checkpoint_config = dict(interval=1)
Ner task (#148) * update ner standard code format * add pytest * fix pre-commit * Annotate the dataset section * fix pre-commit for dataset * rm big files and add comments in dataset * rename configs for ner task * minor changes if metric * Note modification * fix pre-commit * detail modification * rm transform * rm magic number * fix warnings in pylint * fix pre-commit * correct help info * rename model files * rename err fixed * 428_tag * Adjust to more general pipline * update unit test rate * update * Unit test coverage over 90% and add Readme * modify details * fix precommit * update * fix pre-commit * update * update * update * update result * update readme * update baseline config * update config and small minor changes * minor changes in readme and etc. * back to original * update toy config * upload model and log * fix pytest * Modify the notes. * fix readme * Delete Chinese punctuation * add demo and fix some logic and naming problems * add To_tensor transformer for ner and load pretrained model in config * delete extra lines * split ner loss to MaskedCrossEntropyLoss and MaskedFocalLoss * update config * fix err * updata * modify noqa * update new model report * fix err in ner demo * Update ner_dataset.py * Update test_ner_dataset.py * Update ner_dataset.py * Update ner_transforms.py * rm toy config and data * add comment * add empty * fix conflict * fix precommit * fix pytest * fix pytest err * Update ner_dataset.py * change dataset name to cluener2020 * move the postprocess in metric to convertor * rm __init__ etc. * precommit * add discription in loss * add auto download * add http * update * remove some 'issert' * replace unsqueeze * update config * update doc and bert.py * update * update demo code Co-authored-by: weihuaqiang <weihuaqiang@sensetime.com> Co-authored-by: Hongbin Sun <hongbin306@gmail.com> 2021-05-18 11:33:51 +08:00			`# optimizer`
			`optimizer = dict(type='Adadelta', lr=0.5)`
			`optimizer_config = dict(grad_clip=dict(max_norm=0.5))`
			`# learning policy`
			`lr_config = dict(policy='step', step=[8, 14, 16])`
[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=18)`
[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)`