Update README.md

README.md

@@ -24,18 +24,20 @@ It achieves the following results on the evaluation set:
 
 ## Model description
 
-More information needed
+This model uses a lightweight RoBERTa checkpoint that has been fine-tuned on evaluating emotions to further be trained on recognizing climate disinformation.
 
 ## Intended uses & limitations
 
-More information needed
+To be used as a submission for the Frugal AI competition
 
 ## Training and evaluation data
 
-More information needed
+Dataset of text and labels available on Frugal AI competition page.
 
 ## Training procedure
 
+Used a binarizer to tokenize the text and found a seemingly suitable model checkpoint as a good place to start! 
+
 ### Training hyperparameters
 
 The following hyperparameters were used during training: