Update README.md

README.md

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 # arabert_c19: An Arabert model pretrained on 1.5 million COVID-19 multi-dialect Arabic tweets 
 **mBERT COVID-19** is a pretrained (fine-tuned) version of the mBERT model (https://huggingface.co/bert-base-multilingual-cased). The pretraining was done using 1.5 million multi-dialect Arabic tweets regarding the COVID-19 pandemic from the “Large Arabic Twitter Dataset on COVID-19” (https://arxiv.org/abs/2004.04315).
 The model can achieve better results for the tasks that deal with multi-dialect Arabic tweets in relation to the COVID-19 pandemic. 
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+# Classification results for multiple tasks including fake-news and hate speech detection when using arabert_c19 and mbert_ar_c19:
+For more details refer to the paper (link)
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+|                                    | arabert  | mbert    | distilbert multi | arabert Covid-19 | mbert Covid-19 |
+|------------------------------------|----------|----------|------------------|------------------|----------------|
+| Contains hate (Binary)             |   0.8346 |   0.6675 |   0.7145         |   `0.8649`         |   0.8492       |
+| Talk about a cure (Binary)         |   0.8193 |   0.7406 |   0.7127         |   0.9055         |   `0.9176`       |
+| News or opinion (Binary)           |   0.8987 |   0.8332 |   0.8099         |   `0.9163`         |   0.9116       |
+| Contains fake information (Binary) |   0.6415 |   0.5428 |   0.4743         |   `0.7739`         |   0.7228       |
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 # Preprocessing
 ```python
 from arabert.preprocess import ArabertPreprocessor