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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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| .. | ||
| _static | ||
| imgs | ||
| internal | ||
| main_classes | ||
| model_doc | ||
| benchmarks.rst | ||
| bertology.rst | ||
| conf.py | ||
| contributing.md | ||
| converting_tensorflow_models.rst | ||
| custom_datasets.rst | ||
| examples.md | ||
| favicon.ico | ||
| glossary.rst | ||
| index.rst | ||
| installation.md | ||
| migration.md | ||
| model_sharing.rst | ||
| model_summary.rst | ||
| multilingual.rst | ||
| notebooks.md | ||
| perplexity.rst | ||
| philosophy.rst | ||
| preprocessing.rst | ||
| pretrained_models.rst | ||
| quicktour.rst | ||
| serialization.rst | ||
| task_summary.rst | ||
| testing.rst | ||
| tokenizer_summary.rst | ||
| training.rst | ||