Fix val plots=plots

[glenn-jocher]

🛠️ PR Summary

_{Made with ❤️ by Ultralytics Actions}

🌟 Summary

Enhanced customization of validation plots during training in YOLOv5.

📊 Key Changes

• The plots parameter within the train.py script can now be dynamically set, rather than being hardcoded to True.

🎯 Purpose & Impact

• This change allows developers and users to specify whether they want to generate validation plots during model training. It offers greater flexibility and can potentially speed up training when plots are not needed.
• Users can now decide if they want to allocate resources to plotting, which may be beneficial in constrained environments or when running numerous training experiments. 🚀
• The ability to toggle plot generation can lead to reduced overhead, particularly useful during automated or large-scale training runs. 📉