PyTorch Lightning + Optuna! Optuna is a hyperparameter optimization framework applicable to machine learning frameworks and black-box optimization solvers. PyTorch Lightning provides a lightweight PyTorch wrapper for better scaling with less code. Combining the two of them allows for automatic tuning of hyperparameters to find the best performing models . Creating the Objective Function Defining the hyperparameters to be tuned Running the Trials Pruning — Early Stopping of Poor Trials To the Future, and Beyond! 链接地址： https://medium.com/optuna/using-optuna-to-optimize-pytorch-lightning-hyperparameters-d9e04a481585