| license: afl-3.0 | |
| 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. | |
| Language: English | |
| Dataset: https:\/\/www.kaggle.com/datasets/clmentbisaillon/fake-and-real-news-dataset |