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@@ -7,4 +7,35 @@ pipeline_tag: token-classification
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  metrics:
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  - accuracy
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  - f1
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  metrics:
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  - accuracy
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  - f1
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+ ---
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+ # AraBERT_Arabic_NER
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+ This is fine tuned AraBERT model for Arabic NER
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation results
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+ Train Loss Val Loss Accuracy Precision Recall F1
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+ No log 0.168362 0.960146 0.781193 0.756899 0.768854
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+ No log 0.142247 0.967788 0.823397 0.798511 0.810763
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+ No log 0.144166 0.969069 0.830401 0.806395 0.818222
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+ No log 0.144989 0.970229 0.827586 0.819974 0.823762
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+ 0.211600 0.151844 0.970950 0.836991 0.818660 0.827724
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+ 0.211600 0.152624 0.970990 0.835268 0.819536 0.827327
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+ 0.211600 0.154714 0.971110 0.833037 0.821726 0.827343
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+ 0.211600 0.157353 0.970629 0.834449 0.819098 0.826702
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+ The following hyperparameters were used during training:
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+ - optimizer: None
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+ - training_precision: float32