Update README.md

README.md

@@ -79,11 +79,11 @@ You can use this model directly with a pipeline for masked language modeling:
 
 |**Experiment** |**mBERT**|**AraBERT0.1**|**AraBERT1.0**|**ArabicBERT**|**QARiB**|
 |---------------|---------|--------------|--------------|--------------|---------|
-|**Dialect Identification | 6.06% | 59.92% | 59.85% | 61.70% | 65.21% |
-|**Emotion Detection | 27.90% | 43.89% | 42.37% | 41.65% | 44.35% |
-|**Named-Entity Recognition (NER) | 49.38% | 64.97% | 66.63% | 64.04% | 61.62% |
-|**Offensive Language Detection | 83.14% | 88.07% | 88.97% | 88.19% | 91.94% |
-|**Sentiment Analysis | 86.61% | 90.80% | 93.58% | 83.27% | 93.31% |
+|Dialect Identification | 6.06% | 59.92% | 59.85% | 61.70% | **65.21%** |
+|Emotion Detection | 27.90% | 43.89% | 42.37% | 41.65% | **44.35%** |
+|Named-Entity Recognition (NER) | 49.38% | 64.97% | **66.63%** | 64.04% | 61.62% |
+|Offensive Language Detection | 83.14% | 88.07% | 88.97% | 88.19% | **91.94%** |
+|Sentiment Analysis | 86.61% | 90.80% | **93.58%** | 83.27% | 93.31% |
 
 ## Model Weights and Vocab Download