Notice that the weakly supervised classifier trained with 68M words obtains 68% accuracy on the AOC test set and 48% on the FB test set (row 1), which is not much higher.
considering this classifier is trained without any human labeled dialect data, the performance is expected and can be improved with better training data and models.