AyoubChLin
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This repository contains a fine-tuned DistilBert base model for sequence classification on the CNN News dataset. The model is able to classify news articles into one of six categories: business, entertainment, health, news, politics, and sport.
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The model was fine-tuned for four epochs
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and a validation accuracy of 0.960415.
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### Model Description
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This repository contains a fine-tuned DistilBert base model for sequence classification on the CNN News dataset. The model is able to classify news articles into one of six categories: business, entertainment, health, news, politics, and sport.
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The model was fine-tuned for four epochs achieving a training loss of 0.012900, a validation loss of 0.151663,
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- accuracy of 0.9607394366197183.
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- f1 : 0.962072
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- precision : 0.961904
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- recall : 0.962324
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### Model Description
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