SM2 is an energy-aware successive halving optimizer that selects batch size and learning rate using GPU energy per epoch and cyclical learning-rate exploration, cutting HPO energy by 8% to 47% in three test scenarios.
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Spend More to Save More (SM2): An Energy-Aware Implementation of Successive Halving for Sustainable Hyperparameter Optimization
SM2 is an energy-aware successive halving optimizer that selects batch size and learning rate using GPU energy per epoch and cyclical learning-rate exploration, cutting HPO energy by 8% to 47% in three test scenarios.