Why does Learning Rate matter for AI governance?

LoRA fine-tuning often uses much higher learning rates (1e-4 to 1e-3) because the small adapter weights need larger updates to learn meaningful task representations. Learning rate is the single most important hyperparameter to tune for training stability and quality. The platf