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bert

The model is trained and fine-tuned using the financial news dataset to improve its sensitivity in recognizing financial sentiment.

Model Information

  • Model Name: likith123/SSAF-FinBert
  • Model Accuracy: 78.63%
  • Description: The model is trained and fine-tuned using the financial news dataset to improve its sensitivity in recognizing financial sentiment.

Hyperparameters

  • Learning Rate: 2e-05
  • Batch Size: 16
  • Number of Epochs: 3
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Dataset used to train ylingag/ISOM5240_financial_tone

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