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Update README.md

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@@ -27,6 +27,7 @@ FinancialBERT model was fine-tuned on [Financial PhraseBank](https://www.researc
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  ### Metrics
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  The evaluation metrics used are: Precision, Recall and F1-score. The following is the classification report on the test set.
 
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  | relation | precision | recall | f1-score | support |
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  | ------------- |:-------------:|:-------------:|:-------------:| -----:|
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  | has | 0.7416 | 0.9674 | 0.8396 | 2362 |
 
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  ### Metrics
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  The evaluation metrics used are: Precision, Recall and F1-score. The following is the classification report on the test set.
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  | relation | precision | recall | f1-score | support |
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  | ------------- |:-------------:|:-------------:|:-------------:| -----:|
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  | has | 0.7416 | 0.9674 | 0.8396 | 2362 |