Update README.md

README.md

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 license: afl-3.0
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-The fake news classifer built using distillbert uncased. The training data is from https://www.kaggle.com/datasets/clmentbisaillon/fake-and-real-news-dataset created for the Fatima Fellowship coding challenge and trained on P100 instance for 3 epochs. 
+The fake news classifer built using distillbert uncased. Created for the Fatima Fellowship coding challenge and trained on P100 instance for 3 epochs. The model is a binary classifier which predicts 1 in case of real news. This was created using the transformers library and the language used for training the model is primiarily English.
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+Language: English
+Dataset: https:\/\/www.kaggle.com/datasets/clmentbisaillon/fake-and-real-news-dataset