| 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 | |
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| license: apache-2.0 | |
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