Update README.md

README.md

@@ -12,24 +12,28 @@ widget:
 - text: "You wont believe what happened to me today :)"
 - text: "You wont believe what happened to me today :("
 ---
-This is an emotion classification model based on finetuning of a Bernice model (a multilingual pre-trained model trained on multilingual Twitter data) on self-labeled emotion dataset (Lykousas et al., 2019) in English that corresponds to Anger, Fear, Sadness, Joy, and Affection. 
+This is an emotion classification model based on fine-tuning of a Bernice model (which is a multilingual pre-trained model trained on multilingual Twitter data) on self-labeled emotion dataset (Lykousas et al., 2019) in English that corresponds to Anger, Fear, Sadness, Joy, and Affection. 
 See the paper, [LEIA: Linguistic Embeddings for the Identification of Affect](https://arxiv.org/abs/2304.10973) for further details. 
 
 ## Evaluation
-We evaluated LEIA-multilingual on Vent posts with self-annotated emotion labels that was identified (using an ensemble of language identefication tools) to be non-English. 
-See the below for the macro-F1 scores across emotion categories and languages:
+We evaluated LEIA-multilingual on Vent posts with self-annotated emotion labels identified as non-English using an ensemble of language identefication tools. 
+The table below shows the macro-F1 scores across emotion categories and languages:
+
+
+  
+|Language|Macro-F1|
+|:---:|:---:|
+|ar |44.18[43.07,45.29]|
+|da |65.44[60.96,69.83] |
+|de |60.47[57.58,63.38] |
+|es |61.67[60.79,62.55] |
+|fi |45.1[40.96,49.14] |
+|fr |65.78[63.19,68.36] |
+|it |63.37[59.67,67.1] |
+|pt |57.27[55.15,59.4] |
+|tl |58.37[55.51,61.23] |
+|tr |45.42[41.17,49.79]|
 
-language | Macro-F1
-ar |	44.18[43.07,45.29] 
-da 	|65.44[60.96,69.83] 
-de 	|60.47[57.58,63.38] 
-es 	|61.67[60.79,62.55] 
-fi 	|45.1[40.96,49.14] 
-fr 	|65.78[63.19,68.36] 
-it 	|63.37[59.67,67.1] 
-pt 	|57.27[55.15,59.4] 
-tl 	|58.37[55.51,61.23] 
-tr 	|45.42[41.17,49.79]
 
 
 ## Citation