'Finance Wizard' at the FinLLM Challenge Task: Financial Text Summarization

• URL: http://arxiv.org/abs/2408.03762v1
• Date: Wed, 7 Aug 2024 13:31:44 GMT
• Title: 'Finance Wizard' at the FinLLM Challenge Task: Financial Text Summarization
• Authors: Meisin Lee, Soon Lay-Ki,
• Abstract summary: This paper documents our pipeline approach of fine-tuning a foundation model into a task-specific model for Financial Text Summarization. Our model, FinLlama3_sum, yielded commendable results, securing the third position in its category with a ROUGE-1 score of 0.521.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: This paper presents our participation under the team name `Finance Wizard' in the FinNLP-AgentScen 2024 shared task #2: Financial Text Summarization. It documents our pipeline approach of fine-tuning a foundation model into a task-specific model for Financial Text Summarization. It involves (1) adapting Llama3 8B, a foundation model, to the Finance domain via continued pre-training, (2) multi-task instruction-tuning to further equip the model with more finance-related capabilities, (3) finally fine-tuning the model into a task-specific `expert'. Our model, FinLlama3\_sum, yielded commendable results, securing the third position in its category with a ROUGE-1 score of 0.521.

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