Learning Rate Scheduler
A training framework that adjusts optimizer step sizes dynamically over training epochs.
Learning Rate Schedulers adjust step sizes during training (e.g. using cosine decay or linear warmups) to accelerate initial learning and ensure stable convergence as the model nears optimal weights.
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