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Update README.md

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@@ -119,14 +119,28 @@ Use the code below to get started with the model.
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  #### Metrics
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- <!-- These are the evaluation metrics being used, ideally with a description of why. -->
 
 
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  ### Results
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  #### Summary
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  #### Metrics
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+ **Training loss epoch:** 0.005518221071622179 \
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+ **Training accuracy epoch:** 0.9964884720585756 \
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+ **Validation Loss:** 0.0042953278648501505 \
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+ **Validation Accuracy:** 0.9976648087554244
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  ### Results
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+ | Entity | Precision | Recall | F1-Score | Support |
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+ |------------|-----------|--------|----------|---------|
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+ | ACCOUNT | 0.99 | 1.00 | 1.00 | 6000 |
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+ | DOB | 1.00 | 1.00 | 1.00 | 1631 |
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+ | EMAIL | 1.00 | 1.00 | 1.00 | 12169 |
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+ | ID | 1.00 | 0.99 | 0.99 | 4321 |
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+ | LOCATION | 0.99 | 0.99 | 0.99 | 11748 |
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+ | PERSON | 0.99 | 0.98 | 0.99 | 7339 |
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+ | PHONE | 1.00 | 1.00 | 1.00 | 7272 |
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+ | **micro avg** | 0.99 | 0.99 | 0.99 | 50480 |
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+ | **macro avg** | 1.00 | 1.00 | 1.00 | 50480 |
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+ | **weighted avg** | 0.99 | 0.99 | 0.99 | 50480 |
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  #### Summary
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