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README.md

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 ## Model Details
-This model is a Binary classification model fine-tuned on the FakeOrRealNews Dataset using the BERT (bert-base-uncased) architecture. The primary task is to classify news articles into different categories, making it suitable for fake news detection. BERT (Bidirectional Encoder Representations from Transformers) is a transformer-based model known for its effectiveness in natural language processing tasks.
+This model is a Binary classification model fine-tuned on the Fake and Real News Dataset using the BERT (bert-base-uncased) architecture. The primary task is to classify news articles into different categories, making it suitable for fake news detection. BERT (Bidirectional Encoder Representations from Transformers) is a transformer-based model known for its effectiveness in natural language processing tasks.
 
 It takes the title of the news article and classifies it into Reliable or Unreliable news.