A factor learning rate scheduler is an alternative to polynomial decay that utilizes a multiplicative reduction strategy. The learning rate is updated at each step using the equation $\eta_{t+1} \leftarrow \eta_t \cdot \alpha$, where $\alpha \in (0, 1)$. To prevent the learning rate from decaying beyond a reasonable lower bound, the update equation is typically modified to $\eta_{t+1} \leftarrow \mathop{\mathrm{max}}(\eta_{\mathrm{min}}, \eta_t \cdot \alpha)$.