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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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+ ---
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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.