Add evaluation results on masakhaner dataset

#1
by autoevaluator HF staff - opened
Files changed (1) hide show
  1. README.md +36 -3
README.md CHANGED
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  ---
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- language:
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- - sw
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  tags:
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  - NER
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  datasets:
@@ -10,7 +10,40 @@ metrics:
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  - precision
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  - recall
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  widget:
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- - text: "Wizara ya afya ya Tanzania imeripoti Jumatatu kuwa , watu takriban 14 zaidi wamepata maambukizi ya Covid - 19 ."
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  ---
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+ language:
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+ - sw
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  tags:
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  - NER
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  datasets:
 
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  - precision
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  - recall
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  widget:
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+ - text: Wizara ya afya ya Tanzania imeripoti Jumatatu kuwa , watu takriban 14 zaidi
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+ wamepata maambukizi ya Covid - 19 .
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+ model-index:
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+ - name: mbeukman/xlm-roberta-base-finetuned-igbo-finetuned-ner-swahili
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+ results:
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+ - task:
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+ type: token-classification
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+ name: Token Classification
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+ dataset:
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+ name: masakhaner
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+ type: masakhaner
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+ config: swa
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+ split: test
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+ metrics:
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+ - name: Accuracy
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+ type: accuracy
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+ value: 0.9607775377969763
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+ verified: true
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+ - name: Precision
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+ type: precision
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+ value: 0.9671191148143171
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+ verified: true
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+ - name: Recall
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+ type: recall
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+ value: 0.9637946428571429
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+ verified: true
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+ - name: F1
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+ type: f1
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+ value: 0.9654540169487735
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+ verified: true
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+ - name: loss
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+ type: loss
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+ value: 0.2816043794155121
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+ verified: true
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  ---
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