megantosh
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flair-arabic-multi-ner

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sequence-tagger-model

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megantosh commited on Jan 27, 2022

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@@ -29,12 +29,12 @@ Training was conducted over 94 epochs, using a linear decaying learning rate of
 - F1-score (micro) 0.8666
 - F1-score (macro) 0.8488
-|      | True Posititves  | False Positives | False Negatives | Precision | Recall | class-F1 |
-|------|-----|----|----|-----------|--------|----------|
-| LOC  | 539 | 51 | 68 | 0.9136    | 0.8880 | 0.9006   |
-| MISC | 408 | 57 | 89 | 0.8774    | 0.8209 | 0.8482   |
-| ORG  | 167 | 43 | 64 | 0.7952    | 0.7229 | 0.7574   |
-| PER  | 501 | 65 | 60 | 0.8852    | 0.8930 | 0.8891   |
 ---

 - F1-score (micro) 0.8666
 - F1-score (macro) 0.8488
+|      | Named Entity Type    | True Posititves  | False Positives | False Negatives | Precision | Recall | class-F1 |
+|------|-|----|----|----|-----------|--------|----------|
+| LOC  | Location| 539 | 51 | 68 | 0.9136    | 0.8880 | 0.9006   |
+| MISC | Miscellaneous|408 | 57 | 89 | 0.8774    | 0.8209 | 0.8482   |
+| ORG  | Organisation|167 | 43 | 64 | 0.7952    | 0.7229 | 0.7574   |
+| PER  | Person (no title)|501 | 65 | 60 | 0.8852    | 0.8930 | 0.8891   |
 ---