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README.md
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@@ -18,3 +18,30 @@ Check out [NER-System Repository](https://github.com/djagatiya/NER-System) for m
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- F1-Score: 85.53
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> check out this [eval.log](eval.log) file for evaluation metrics and classification report.
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- F1-Score: 85.53
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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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precision recall f1-score support
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CARDINAL 0.84 0.86 0.85 935
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DATE 0.83 0.88 0.85 1602
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EVENT 0.57 0.57 0.57 63
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FAC 0.55 0.62 0.58 135
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GPE 0.95 0.92 0.94 2240
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LANGUAGE 0.82 0.64 0.72 22
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LAW 0.50 0.50 0.50 40
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LOC 0.55 0.72 0.62 179
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MONEY 0.87 0.89 0.88 314
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NORP 0.85 0.89 0.87 841
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ORDINAL 0.81 0.88 0.84 195
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ORG 0.81 0.83 0.82 1795
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PERCENT 0.87 0.89 0.88 349
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PERSON 0.93 0.93 0.93 1988
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PRODUCT 0.55 0.55 0.55 76
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QUANTITY 0.71 0.80 0.75 105
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TIME 0.59 0.66 0.62 212
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WORK_OF_ART 0.42 0.44 0.43 166
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micro avg 0.85 0.86 0.86 11257
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macro avg 0.72 0.75 0.73 11257
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weighted avg 0.85 0.86 0.86 11257
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```
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