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@@ -4,6 +4,8 @@ language:
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  - ar
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  metrics:
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  - accuracy
 
 
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  ---
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  ### Arabic Named Entity Recognition (NER) Model
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@@ -38,6 +40,4 @@ Data preprocessing steps include tokenization, normalization, and conversion of
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  # Model Evaluation
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- The model achieved a Test Accuracy of # 0.9675# on the test set, indicating strong performance in recognizing and classifying entities in Arabic text.
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  - ar
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  metrics:
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  - accuracy
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+ datasets:
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+ - arbml/CLEANANERCorp
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  ---
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  ### Arabic Named Entity Recognition (NER) Model
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  # Model Evaluation
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+ The model achieved a Test Accuracy of # 0.9675 on the test set, indicating strong performance in recognizing and classifying entities in Arabic text.