Add Albumentation Default hyperparameter file

[pourmand1376]

This commit adds a default hyp file for those who want to use `Albumentation augmentation.

This is not complex in any way, but It is useful since whenever someone sees this file, he would know that this feature is supported. Also, the link to the full explanation is provided. I didn't know that you support argumentations till now!

🛠️ PR Summary

_{Made with ❤️ by Ultralytics Actions}

🌟 Summary

Introduction of new hyperparameter file for training YOLOv5 without augmentation using Albumentations.

📊 Key Changes

• 🔧 Added hyp.no-augmentation.yaml, a configuration file with hyperparameters set to disable data augmentations.
• 🚫 All data augmentation parameters set to zero indicating no augmentation will be applied.
• 🤖 Provides settings for learning rate, momentum, weight decay, and other training hyperparameters.

🎯 Purpose & Impact

• 🎨 This allows users to train YOLOv5 models without any data augmentation, potentially useful when working with datasets where realism isn't offset by geometric or photometric distortions.
• 🚀 Can be beneficial for experimentation or in scenarios where augmentations may negatively impact model performance.
• 📈 May impact resulting model accuracy, speed, and ability to generalize, depending on specific dataset characteristics.

[glenn-jocher]

@pourmand1376 PR is merged. Thank you for your contributions to YOLOv5 🚀 and Vision AI ⭐