Update README.md

README.md

@@ -10,13 +10,12 @@ The model can achieve better results for the tasks that deal with multi-dialect
 # 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       |
+| 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       |
 
 
 # Preprocessing