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ultralytics-ascend/docs/en/reference/utils/callbacks/raytune.md
Glenn Jocher 291883a23f
Engine Model and Results Docs improvements (#14564) 
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
Co-authored-by: Felipe Parodi <fparodi@pennmedicine.upenn.edu>
2024-07-21 20:14:49 +02:00

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Learn how to integrate Ray Tune with Ultralytics YOLO for efficient hyperparameter tuning and performance tracking. Ultralytics, Ray Tune, hyperparameter tuning, YOLO, machine learning, deep learning, callbacks, integration, training metrics

Reference for ultralytics/utils/callbacks/raytune.py

!!! Note

This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/callbacks/raytune.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/callbacks/raytune.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/utils/callbacks/raytune.py) 🛠️. Thank you 🙏!

::: ultralytics.utils.callbacks.raytune.on_fit_epoch_end