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docs: 📝 update hyperlink for hyperparameter tuning in custom trainer guide (#23644)

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docs/en/guides/custom-trainer.md
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@ -402,7 +402,7 @@ Yes, for simpler customizations, [callbacks](../usage/callbacks.md) are often su
### How do I customize the loss function without subclassing the model?
If your change is simpler (such as adjusting loss gains), you can modify the [hyperparameters](https://www.ultralytics.com/glossary/hyperparameters) directly:
If your change is simpler (such as adjusting loss gains), you can modify the [hyperparameters](https://www.ultralytics.com/glossary/hyperparameter-tuning) directly:
```python
model.train(data="coco8.yaml", box=10.0, cls=1.5, dfl=2.0)