
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.

Library: transformers \
Language: English \
Dataset: https:\/\/www.kaggle.com/datasets/clmentbisaillon/fake-and-real-news-dataset
{"license": "afl-3.0"}
transformers pytorch distilbert text-classification license:afl-3.0 autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #distilbert #text-classification #license-afl-3.0 #autotrain_compatible #endpoints_compatible #region-us 


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.

Library: transformers \
Language: English \
Dataset: https:\/\/URL
TAGS
#transformers #pytorch #distilbert #text-classification #license-afl-3.0 #autotrain_compatible #endpoints_compatible #region-us 

passage: TAGS
#transformers #pytorch #distilbert #text-classification #license-afl-3.0 #autotrain_compatible #endpoints_compatible #region-us 
