CFGPT: Chinese Financial Assistant with Large Language Model

• URL: http://arxiv.org/abs/2309.10654v2
• Date: Fri, 22 Sep 2023 09:52:07 GMT
• Title: CFGPT: Chinese Financial Assistant with Large Language Model
• Authors: Jiangtong Li, Yuxuan Bian, Guoxuan Wang, Yang Lei, Dawei Cheng, Zhijun Ding and Changjun Jiang
• Abstract summary: We present a Chinese Financial Generative Pre-trained Transformer framework, named CFGPT. CFData comprises both a pre-training dataset and a supervised fine-tuning dataset. CFLLM is trained on CFData in two stage, continued pre-training and supervised fine-tuning.
• Score: 21.54229667774752
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Large language models (LLMs) have demonstrated great potential in natural language processing tasks within the financial domain. In this work, we present a Chinese Financial Generative Pre-trained Transformer framework, named CFGPT, which includes a dataset~(CFData) for pre-training and supervised fine-tuning, a financial LLM~(CFLLM) to adeptly manage financial texts, and a deployment framework~(CFAPP) designed to navigate real-world financial applications. The CFData comprising both a pre-training dataset and a supervised fine-tuning dataset, where the pre-training dataset collates Chinese financial data and analytics, alongside a smaller subset of general-purpose text with 584M documents and 141B tokens in total, and the supervised fine-tuning dataset is tailored for six distinct financial tasks, embodying various facets of financial analysis and decision-making with 1.5M instruction pairs and 1.5B tokens in total. The CFLLM, which is based on InternLM-7B to balance the model capability and size, is trained on CFData in two stage, continued pre-training and supervised fine-tuning. The CFAPP is centered on large language models (LLMs) and augmented with additional modules to ensure multifaceted functionality in real-world application. Our codes are released at https://github.com/TongjiFinLab/CFGPT.

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