Add callbacks to train function in W&B sweep

[jveitchmichaelis]

Fix following #4688 which modified the function signature to train

🛠️ PR Summary

_{Made with ❤️ by Ultralytics Actions}

🌟 Summary

Improvement to the Weights & Biases (WandB) Sweep Functionality in YOLOv5.

📊 Key Changes

• Added an import of the Callbacks class in the WandB sweep script.
• Modified the train() function call to include a new callbacks parameter.

🎯 Purpose & Impact

• The inclusion of Callbacks allows for more customizable training processes by triggering functions at specific stages.
• This update empowers users to integrate advanced training behaviors and custom actions without modifying the core training logic.
• Users leveraging WandB sweeps can now benefit from callbacks, potentially leading to better hyperparameter tuning and more robust model training. 🚀

[github-actions]

👋 Hello @jveitchmichaelis, thank you for submitting a 🚀 PR! To allow your work to be integrated as seamlessly as possible, we advise you to:

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[glenn-jocher]

@jveitchmichaelis PR is merged. Thank you for your contributions to YOLOv5 🚀 and Vision AI ⭐