Ok, then I would still suggest to use tanh and normalize your output somehow.
If you don’t have a limited range or just very sparse min and max values you could try to standardize your output with its mean and std (calculated from the training targets).
This would allow your model to predict outputs in [-1, 1], which you would have to scale back to its original range.