This model is part of the Research topic "Bias and Fairness in AI" conducted by Shaina Raza, Deepak John Reji, Chen Ding

- language: en
- tags: Token Classification
- Dataset : MBAD Data
- datasize : 17775 entries
- Label distribution : Biased - 10651, Non-Biased - 7124
- Train-Test split : 90 : 10
- tokenizer : distilbert-base-uncased
- model : distilbert-base-uncased
- optimizer : adam
- Learning rate : 5e-5
- Model parameters : 66,955,010
- epochs : 30
- Train accuracy : 0.7697
- Test accuracy : 0.62
- Train loss : 0.4506
- Test loss : 0.9644
- Carbon emission 0.319355 Kg