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Update README.md

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@@ -64,29 +64,31 @@ FinanceBERT was evaluated on a held-out test set and achieved the following perf
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  Classification Report:
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- class_index: 0
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  - precision: 0.84
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  - recall: 0.90
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  - f1_score: 0.87
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  - support: 29
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- class_index: 1
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  - precision: 0.94
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  - recall: 0.94
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  - f1_score: 0.94
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  - support: 199
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- class_index: 2
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  - precision: 0.90
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  - recall: 0.88
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  - f1_score: 0.89
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  - support: 83
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  Confusion Matrix:
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- - actual_0: [26, 2, 1]
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- - actual_1: [4, 188, 7]
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- - actual_2: [1, 9, 73]
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  # Limitations
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  FinanceBERT has been rigorously trained and tested to ensure reliable performance across a variety of financial texts. However, there are several limitations to consider:
 
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  Classification Report:
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+ Negative Sentiment - class_index: 0
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  - precision: 0.84
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  - recall: 0.90
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  - f1_score: 0.87
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  - support: 29
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+ Neutral Sentiment - class_index: 1
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  - precision: 0.94
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  - recall: 0.94
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  - f1_score: 0.94
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  - support: 199
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+ Positive Setniment - class_index: 2
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  - precision: 0.90
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  - recall: 0.88
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  - f1_score: 0.89
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  - support: 83
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  Confusion Matrix:
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+
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+ | Predicted | Negative | Neutral | Positive |
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+ |-----------------|----------|---------|----------|
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+ | Actual Negative | 26 | 2 | 1 |
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+ | Actual Neutral | 4 | 188 | 7 |
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+ | Actual Positive | 1 | 9 | 73 |
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  # Limitations
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  FinanceBERT has been rigorously trained and tested to ensure reliable performance across a variety of financial texts. However, there are several limitations to consider: