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* 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> |
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| .. | ||
| converters | ||
| __init__.pxd | ||
| __init__.py | ||
| align.pyx | ||
| alignment_array.pxd | ||
| alignment_array.pyx | ||
| alignment.py | ||
| augment.py | ||
| batchers.py | ||
| callbacks.py | ||
| corpus.py | ||
| example.pxd | ||
| example.pyx | ||
| gold_io.pyx | ||
| initialize.py | ||
| iob_utils.py | ||
| loggers.py | ||
| loop.py | ||
| pretrain.py | ||