ahmedrachid
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Update README.md
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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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###
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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 |
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