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README.md
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# Fake News Classifier - Finetuned: 'distilbert-base-uncased'
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#### **LIAR Dataset**
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- 60% faster while preserving 95% performance of the base BERT model.
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- This model outperforms the finetuned 'distilbert-base-cased' by over 5% average F1-score.
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- This improvement comes mainly from the slower learning rate and improved data preprocessing.
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- These modifications allow for a smoother training curve and convergence.
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datasets:
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- liar
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metrics:
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- accuracy
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- f1
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- precision
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- recall
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---
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# Fake News Classifier - Finetuned: 'distilbert-base-uncased'
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#### **LIAR Dataset**
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- 60% faster while preserving 95% performance of the base BERT model.
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- This model outperforms the finetuned 'distilbert-base-cased' by over 5% average F1-score.
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- This improvement comes mainly from the slower learning rate and improved data preprocessing.
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- These modifications allow for a smoother training curve and convergence.
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