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mbert-base-cased-finetuned-bengali-fakenews

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metadata
language: bengali
license: apache-2.0
datasets:
  - BanFakeNews

mBERT-base-cased-finetuned-bengali-fakenews

This model is a fine-tune checkpoint of mBERT-base-cased over Bengali-fake-news Dataset for Text classification. This model reaches an accuracy of 96.3 with an f1-score of 79.1 on the dev set.

How to use?

Task: binary-classification

  • LABEL_1: Authentic (Authentic means news is authentic)
  • LABEL_0: Fake (Fake means news is fake)
from transformers import pipeline
print(pipeline("sentiment-analysis",model="DeadBeast/mbert-base-cased-finetuned-bengali-fakenews",tokenizer="DeadBeast/mbert-base-cased-finetuned-bengali-fakenews")("অভিনেতা আফজাল শরীফকে ২০ লাখ টাকার অনুদান অসুস্থ অভিনেতা আফজাল শরীফকে চিকিৎসার জন্য ২০ লাখ টাকা অনুদান দিয়েছেন প্রধানমন্ত্রী শেখ হাসিনা।"))