Learning rate scheduling dynamically adjusts the learning rate during training, allowing for faster initial progress and finer convergence.
🎯 The Goldilocks Problem
• Early training: Want large LR for fast progress
• Mid training: Moderate LR to explore
• Late training: Small LR for fine-tuning
• One size doesn't fit all!
Benefits of scheduling:
• 🚀 Faster convergence in early epochs
• 🎯 Better final accuracy
• 🛡️ Escape from plateaus
• 🔧 Automatic adaptation to training phase