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README.md
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license: mit
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BERT-based Text Classification Model
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This model is a fine-tuned version of the bert-base-uncased model, specifically adapted for text classification across a diverse set of categories. The model has been trained on a rich dataset collected from multiple sources, including the News Category Dataset on Kaggle and various other websites.
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The model classifies text into one of the following 12 categories:
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Convenience
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The model has demonstrated robust performance with an accuracy of 0.721459, F1 score of 0.659451, precision of 0.707620, and recall of 0.635155.
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Model Architecture
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The model leverages the BertForSequenceClassification architecture, It has been fine-tuned on the aforementioned dataset, with the following key configuration parameters:
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Hidden size: 768
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---
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license: mit
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---
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## BERT-based Text Classification Model
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This model is a fine-tuned version of the bert-base-uncased model, specifically adapted for text classification across a diverse set of categories. The model has been trained on a rich dataset collected from multiple sources, including the News Category Dataset on Kaggle and various other websites.
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The model classifies text into one of the following 12 categories:
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Convenience
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The model has demonstrated robust performance with an accuracy of 0.721459, F1 score of 0.659451, precision of 0.707620, and recall of 0.635155.
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## Model Architecture
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The model leverages the BertForSequenceClassification architecture, It has been fine-tuned on the aforementioned dataset, with the following key configuration parameters:
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Hidden size: 768
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