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language: |
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- en |
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tags: |
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- Text Classification |
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--- |
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## This model is part of the Research topic "Bias and Fairness in AI" conducted by Shaina Raza, Deepak John Reji, Chen Ding |
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- Dataset : MBAD Data |
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- datasize : 17775 entries |
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- Label distribution : Biased - 10651, Non-Biased - 7124 |
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- Train-Test split : 90 : 10 |
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- tokenizer : distilbert-base-uncased |
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- model : distilbert-base-uncased |
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- optimizer : adam |
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- Learning rate : 5e-5 |
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- Model parameters : 66,955,010 |
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- epochs : 30 |
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- Train accuracy : 0.7697 |
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- Test accuracy : 0.62 |
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- Train loss : 0.4506 |
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- Test loss : 0.9644 |
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- Carbon emission 0.319355 Kg |
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