Madeesh Kannan 5ea14af32b Add training.before_update callback (#11739) ... * Add `training.before_update` callback This callback can be used to implement training paradigms like gradual (un)freezing of components (e.g: the Transformer) after a certain number of training steps to mitigate catastrophic forgetting during fine-tuning. * Fix type annotation, default config value * Generalize arguments passed to the callback * Update schema * Pass `epoch` to callback, rename `current_step` to `step` * Add test * Simplify test * Replace config string with `spacy.blank` * Apply suggestions from code review Co-authored-by: Adriane Boyd <adrianeboyd@gmail.com> * Cleanup imports Co-authored-by: Adriane Boyd <adrianeboyd@gmail.com>		2022-11-23 17:54:58 +01:00
..
__init__.py
test_augmenters.py
test_logger.py
test_new_example.py
test_pretraining.py	Tagger: use unnormalized probabilities for inference (#10197)	2022-03-15 14:15:31 +01:00
test_readers.py
test_rehearse.py
test_training.py	Add training.before_update callback (#11739)	2022-11-23 17:54:58 +01:00