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Update README.md

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@@ -25,7 +25,7 @@ FinancialBERT model was fine-tuned on [Financial PhraseBank](https://www.researc
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  - max_seq_length = 512
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  - num_train_epochs = 5
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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 (20% of the dataset).
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  | sentiment | precision | recall | f1-score | support |
 
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  - max_seq_length = 512
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  - num_train_epochs = 5
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+ ### Evaluation 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 (20% of the dataset).
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  | sentiment | precision | recall | f1-score | support |