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  # roberta-news-classifier
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- This model is a fine-tuned version of [russellc/roberta-news-classifier](https://huggingface.co/russellc/roberta-news-classifier) on the None dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.1043
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  - Accuracy: 0.9786
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  | 0.0825 | 4.0 | 492 | 0.1271 | 0.9714 | 0.9714 | 0.9714 | 0.9714 |
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  | 0.055 | 5.0 | 615 | 0.1296 | 0.9724 | 0.9724 | 0.9724 | 0.9724 |
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  ### Framework versions
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  # roberta-news-classifier
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+ This model is a fine-tuned version of [russellc/roberta-news-classifier](https://huggingface.co/russellc/roberta-news-classifier) on the custom(Kaggle) dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.1043
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  - Accuracy: 0.9786
 
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  | 0.0825 | 4.0 | 492 | 0.1271 | 0.9714 | 0.9714 | 0.9714 | 0.9714 |
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  | 0.055 | 5.0 | 615 | 0.1296 | 0.9724 | 0.9724 | 0.9724 | 0.9724 |
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+ ### Evaluation results
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+ ***** Running Prediction *****
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+ Num examples = 980
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+ Batch size = 64
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+ precision recall f1-score support
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+ dunya 0.99 0.96 0.97 147
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+ ekonomi 0.96 0.96 0.96 141
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+ kultur 0.97 0.99 0.98 142
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+ saglik 0.99 0.98 0.98 148
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+ siyaset 0.98 0.98 0.98 134
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+ spor 1.00 1.00 1.00 139
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+ teknoloji 0.96 0.98 0.97 129
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+ accuracy -- -- 0.98 980
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+ macro avg 0.98 0.98 0.98 980
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+ weighted avg 0.98 0.98 0.98 980
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  ### Framework versions
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