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@@ -7,10 +7,12 @@ Dataset: interpress_news_category_tr
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  The dataset downloaded from interpress. This dataset is real world data. Actually there are 273K data but I filtered them and used 108K data for this model. For more information about dataset please visit this [link](https://huggingface.co/datasets/interpress_news_category_tr_lite)
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  ## Model
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- Model accuracy on train data and validation data is %97.
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  ![Classification report](classification_report.png)
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  ![Confusion matrix](confusion_matrix.png)
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  ## Usage for Torch
 
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  The dataset downloaded from interpress. This dataset is real world data. Actually there are 273K data but I filtered them and used 108K data for this model. For more information about dataset please visit this [link](https://huggingface.co/datasets/interpress_news_category_tr_lite)
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  ## Model
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+ Model accuracy on train data and validation data is %97. The data split as %80 train and %20 validation. The results as shown as below
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  ![Classification report](classification_report.png)
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  ![Confusion matrix](confusion_matrix.png)
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  ## Usage for Torch