| | Precision | Recall | F1-Score | Support | |----------|-----------|--------|----------|---------|| | Real | 0.97 | 0.96 | 0.97 | 2,072 | | Fake | 0.95 | 0.96 | 0.96 | 1,584 |

Usage

Test Accuracy: 96.36%
Test Loss: 0.194

python

from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained('Aakash22134/fake_news_DistilBert')
model = AutoModelForSequenceClassification.from_pretrained('Aakash22134/fake_news_DistilBert')