40 lines
2.4 KiB
Markdown
40 lines
2.4 KiB
Markdown
---
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license: apache-2.0
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language:
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- zh
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pipeline_tag: text-generation
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---
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---
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<div style="text-align:center">
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<!-- <img src="https://big-cheng.com/k2/k2.png" alt="k2-logo" width="200"/> -->
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<h2>📈 CFGPT: Chinese Financial Assistant with Large Language Model (CFGPT1-pt-7b)</h2>
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</div>
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## Introduction
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We introduce **CFGPT**, an open-source language model trained by firstly further pretraining general LLMs on collected and cleaned Chinese finance text data (CFData-pt), including financial domain-specific data (announcement, finance articles, finance exams, finance news, finance research papers) and general data (Wikipedia), and secondly fine-tuning with knowledge-intensive instruction tuning data (CFData-sft).
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As for preliminary evaluation, we use CFBenchmark-Basic.
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CFGPT outperforms the baselines on objective and subjective tasks compared to several baseline models with similar parameters.
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In this repository, we will share the further pretrained model.
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- [Pretrained Model](https://huggingface.co/TongjiFinLab/CFGPT1-pt-7B): Full model weights after further pretraining with the chinese finance text corpus to comply with the InternLM model license.
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## How to Use
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The CFGPT1-pt-7b is a pre-trained model, which has not undergone supervised fine-tuning with a instruction data. Therefore, it is not advisable to use this model for financial tasks.
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Please refer to [CFGPT]() Github repo for further usage.
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## 简介
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**CFGPT**是一个开源的语言模型，首先通过在收集和清理的中国金融文本数据（CFData-pt）上进行继续预训练，包括金融领域特定数据（公告、金融文章、金融考试、金融新闻、金融研究论文）和通用数据（维基百科），然后使用知识密集的指导调整数据（CFData-sft）进行微调。
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我们使用CFBenchmark-Basic进行初步评估。与几个具有相似参数的基线模型相比，CFGPT在识别，分类和生成任务上表现优越。
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在这个仓库中，我们将分享以下继续预训练的模型。
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- [Pretrained Model](https://huggingface.co/TongjiFinLab/CFGPT1-pt-7B): 在中国金融文本语料库上进行进一步预训练且符合InternLM模型许可的完整模型权重。
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## 如何使用
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这个模型是一个预训练的模型，还没有经历过指令数据库的有监督微调，因此不建议使用该模型执行相关金融任务。
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具体使用，请参考[CFGPT]()的Github仓库。 |