Isn't best model saving wrong

[harshvardhan2707]

        if abs(np.min(mae) - result[0]) < 0.01:
            checkpoint_best_path = os.path.join(args.checkpoints_dir, 'best_mae.pth')
            torch.save({
                'model': model_without_ddp.state_dict(),
            }, checkpoint_best_path)

Isn't this wrong? Shouldn't the best model be saved like this-

            if(result[0])< np.min(mae):
                checkpoint_best_path = os.path.join(args.checkpoints_dir, 'best_mae.pth')
                torch.save({
                    'model': model_without_ddp.state_dict(),
                }, checkpoint_best_path)