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@@ -26,6 +26,8 @@ should probably proofread and complete it, then remove this comment. -->
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  # EconoSentiment
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  This model is a fine-tuned version of [samchain/econo-sentence-v2](https://huggingface.co/samchain/econo-sentence-v2) on the Financial Phrase Bank dataset from FinanceMTEB.
 
 
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  It achieves the following results on the evaluation set:
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  - Loss: 0.1293
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  - Accuracy: 0.962
 
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  # EconoSentiment
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  This model is a fine-tuned version of [samchain/econo-sentence-v2](https://huggingface.co/samchain/econo-sentence-v2) on the Financial Phrase Bank dataset from FinanceMTEB.
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+ The full model is trained using a small learning rate isntead of freezing the encoder. Hence, you should not use the encoder of this model for a task other than sentiment analysis.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.1293
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  - Accuracy: 0.962