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@@ -11,4 +11,24 @@ pipeline_tag: text-classification
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  tags:
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  - persina
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  - text-classification
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  tags:
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  - persina
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  - text-classification
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+ ---
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+ # Fine-tuned BERT for Persian Comment Discrepancy Classification
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+ This project fine-tunes a BERT model to classify Persian comments into two categories: complaints about bad delivery (`True`) and non-complaints (`False`). The model is trained on the [Labeled Persian Comments](https://www.kaggle.com/datasets/alirezaazizkhani/labeled-persian-comments) dataset.
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+ ## Key Metrics
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+ - **Accuracy**: 95.89%
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+ - **F1 Score**: 95.62%
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+ ## Code
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+ The full code is available on [Kaggle](https://www.kaggle.com/code/alirezaazizkhani/finetune-bert-for-discrepancy/).
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+ ## Installation
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+ 1. Install dependencies:
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+ ```bash
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+ pip install transformers datasets scikit-learn