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README.md
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The model has been fine-tuned on financial sentiment classification using the FinGPT/fingpt-sentiment-train dataset. It is designed to analyze financial news and reports, classifying them into sentiment categories to aid decision-making in financial contexts.
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## How the Model Was Created
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The model was developed through a two-step process:
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* Pruning: The base LLaMA-3.2-1B model was pruned, reducing its MLP neurons by 40%, which helped decrease computational requirements while preserving key capabilities.
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The model has been fine-tuned on financial sentiment classification using the FinGPT/fingpt-sentiment-train dataset. It is designed to analyze financial news and reports, classifying them into sentiment categories to aid decision-making in financial contexts.
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## Repository & Resources
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For full code, training process, and additional details, visit the GitHub repository:
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[🔗 FinLLMOpt Repository](https://github.com/peremartra/FinLLMOpt)
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## How the Model Was Created
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The model was developed through a two-step process:
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* Pruning: The base LLaMA-3.2-1B model was pruned, reducing its MLP neurons by 40%, which helped decrease computational requirements while preserving key capabilities.
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