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README.md
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metrics:
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- accuracy
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- f1
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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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More information needed
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## Intended uses & limitations
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More information needed
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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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### 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
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