def configure_optimizers(self) -> torch.optim.Optimizer:
        """Configure optimizer and learning rate scheduler.

        Returns:
            tuple[list[Adam], list[MultiStepLR]]: Tuple containing optimizer and
                scheduler lists.
        """
        optimizer = torch.optim.Adam(params=self.model.parameters(), lr=0.0001)
        scheduler = torch.optim.lr_scheduler.MultiStepLR(optimizer, milestones=[400, 600], gamma=0.1)
        return [optimizer], [scheduler]
Configure optimizer and learning rate scheduler.

        Returns:
            tuple[list[Adam], list[MultiStepLR]]: Tuple containing optimizer and
                scheduler lists.
        
src/anomalib/models/image/draem/lightning_model.py