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@@ -52,14 +52,6 @@ It achieves the following results on the evaluation set:
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  Model determines the financial sentiment of given text. Given the unbalanced distribution of the class labels, the weights were adjusted to pay attention to the less sampled labels which should increase overall performance. The Covid dataset was added in order to enrich the model, given most models have not been trained on the impact of Covid-19 on earnings or markets.
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- ## Intended uses & limitations
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- More information needed
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- ## Training and evaluation data
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- ## Training procedure
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
 
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  Model determines the financial sentiment of given text. Given the unbalanced distribution of the class labels, the weights were adjusted to pay attention to the less sampled labels which should increase overall performance. The Covid dataset was added in order to enrich the model, given most models have not been trained on the impact of Covid-19 on earnings or markets.
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  ### Training hyperparameters
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  The following hyperparameters were used during training: