Before revision:  We evaluate our model on two Arabic reading comprehension tasks, and we show that AraELECTRA outperforms current state-of-the-art Arabic language representation models  given the same pretraining data and with even a smaller model size.
After revision:  We evaluate our model on multiple Arabic NLP tasks, including reading comprehension, sentiment analysis, and named-entity recognition and we show that AraELECTRA outperforms current state-of-the-art Arabic language representation models given the same pretraining data and with even a smaller model size.