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* Add early stopping patience and minimum threshold metric must improve to prevent early stopping to pytorch trainer * Add early stopping test * Set patience counter to 0 if best metric not defined yet * Make early stopping a callback. Add callback event for updating the best metric for early stopping callback to trigger on. * Run make style * make funciton name sensible * Improve new argument docstring wording and hope that flakey CI test passes. * Use on_evaluation callback instead of custom. Remove some debug printing * Move early stopping arguments and state into early stopping callback * Run make style * Remove old code * Fix docs formatting. make style went rogue on me. * Remove copied attributes and fix variable * Add assertions on training arguments instead of mutating them. Move comment out of public docs. * Make separate test for early stopping callback. Add test of invalid arguments. * Run make style... I remembered before CI this time! * appease flake8 * Add EarlyStoppingCallback to callback docs * Make docstring EarlyStoppingCallabck match other callbacks. * Fix typo in docs |
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| .. | ||
| callback.rst | ||
| configuration.rst | ||
| logging.rst | ||
| model.rst | ||
| optimizer_schedules.rst | ||
| output.rst | ||
| pipelines.rst | ||
| processors.rst | ||
| tokenizer.rst | ||
| trainer.rst | ||