17 lines
880 B
Markdown
17 lines
880 B
Markdown
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---
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description: Learn how to integrate Ray Tune with Ultralytics YOLO for efficient hyperparameter tuning and performance tracking.
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keywords: Ultralytics, Ray Tune, hyperparameter tuning, YOLO, machine learning, deep learning, callbacks, integration, training metrics
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---
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# Reference for `ultralytics/utils/callbacks/raytune.py`
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!!! note
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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 🙏!
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<br>
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## ::: ultralytics.utils.callbacks.raytune.on_fit_epoch_end
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<br><br>
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