d4data
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en_pipeline

Token Classification

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dreji18 commited on Dec 10, 2021

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@@ -23,13 +23,14 @@ model-index:
     metrics:
     - name: NER Precision
       type: precision
-      value: 1.0
     - name: NER Recall
       type: recall
-      value: 1.0
     - name: NER F Score
       type: f_score
-      value: 1.0
 ---
 ## About the Model
 This model is trained on MBAD Dataset to recognize the biased word/phrases in a sentence. This model was built on top of roberta-base offered by Spacy transformers.

     metrics:
     - name: NER Precision
       type: precision
+      value: 0.66
     - name: NER Recall
       type: recall
+      value: 0.64
     - name: NER F Score
       type: f_score
+      value: 0.6
 ---
 ## About the Model
 This model is trained on MBAD Dataset to recognize the biased word/phrases in a sentence. This model was built on top of roberta-base offered by Spacy transformers.