Update README.md

README.md

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 # Finetuned BERT model for classifying community posts
 
 This distilbert model was fine-tuned on ~20.000 community postings using the HuggingFace adapter from Kern AI refinery. 
-The postings consistet of comments and posts from various forums and social media sites.
+The postings consist of comments from various forums and social media sites.
 For the finetuning, a single NVidia K80 was used for about two hours. 
 
 Join our Discord if you have questions about this model: https://discord.gg/MdZyqSxKbe
@@ -23,6 +23,8 @@ It’s designed to pre-train deep bidirectional representations from unlabeled t
 BERT is based on the transformer architecture and uses WordPiece to convert each English word into an integer code. 
 This model has a classification head on top of it, which means that this BERT model is specifically made for text classification. 
 
+DISCLAIMER: Currently, the model has a slight bias towards neutral and positive predictions. 
+
 ## Features
 
 - The model can handle various text classification tasks, especially when it comes to postings made in forums and community sites.