133. Linear LR Scaling Rule

When you increase batch size by a factor k, the linear scaling rule says you should also multiply the learning rate by k to keep the per-example update direction roughly the same.

Signature: def scaled_lr(base_lr: float, base_batch: int, new_batch: int) -> float

Return base_lr * (new_batch / base_batch).