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@@ -19,3 +19,30 @@ Check out [NER-System Repository](https://github.com/djagatiya/NER-System) for m
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  - F1-Score: 86.19
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  > check out this [eval.log](eval.log) file for evaluation metrics and classification report.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - F1-Score: 86.19
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  > check out this [eval.log](eval.log) file for evaluation metrics and classification report.
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+
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+ ```
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+ precision recall f1-score support
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+
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+ CARDINAL 0.84 0.83 0.83 935
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+ DATE 0.84 0.87 0.86 1602
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+ EVENT 0.61 0.52 0.56 63
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+ FAC 0.54 0.59 0.56 135
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+ GPE 0.95 0.94 0.95 2240
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+ LANGUAGE 0.85 0.50 0.63 22
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+ LAW 0.56 0.57 0.57 40
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+ LOC 0.61 0.65 0.63 179
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+ MONEY 0.85 0.88 0.86 314
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+ NORP 0.88 0.92 0.90 841
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+ ORDINAL 0.78 0.86 0.81 195
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+ ORG 0.84 0.81 0.82 1795
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+ PERCENT 0.88 0.87 0.88 349
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+ PERSON 0.94 0.92 0.93 1988
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+ PRODUCT 0.57 0.53 0.55 76
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+ QUANTITY 0.77 0.81 0.79 105
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+ TIME 0.59 0.66 0.62 212
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+ WORK_OF_ART 0.60 0.52 0.56 166
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+
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+ micro avg 0.86 0.86 0.86 11257
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+ macro avg 0.75 0.74 0.74 11257
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+ weighted avg 0.86 0.86 0.86 11257
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+ ```