🛠️ PR Summary

_{Made with ❤️ by Ultralytics Actions}

🌟 Summary

Enhanced model validation during training in YOLOv5.

📊 Key Changes

• Added the compute_loss function as an argument to the validation step in the training pipeline.

🎯 Purpose & Impact

• Purpose: To enable the calculation of loss on the validation dataset during training, which can help in understanding model performance and diagnosing issues.
• Impact: This change may allow developers and researchers to obtain more detailed insights into how their model is performing during the train-eval cycle, potentially leading to better model tuning and improved performance.