This model was trained using the 'bert-base-uncased' from the transformer library and it was trained on the popular fake/real news dataset from Kaggle. Pytorch is the framework used to train the model and it had an accuracy score of 93.5 % and here is what the classification report looks like.
precision recall f1-score support
0 0.96 0.92 0.94 2348
1 0.92 0.96 0.94 2142
accuracy 0.94 4490
macro avg 0.94 0.94 0.94 4490 weighted avg 0.94 0.94 0.94 4490