Adopt
Optuna is an open-source hyperparameter optimization framework designed to automate the process of tuning machine learning models. It provides a flexible and efficient way to search for optimal hyperparameters, enabling developers to focus on model architecture rather than manual tuning.
We mainly use Optuna in conjunction with Hydra for configuration management, allowing us to define complex search spaces and run hyperparameter optimization experiments with minimal effort. This integration simplifies the process of experimenting with different hyperparameters, leading to improved model performance.