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May 11, 2024
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[DOC] Update README.md #241

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b38db7b
Update README.md
CII-Bench May 11, 2024
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Merge branch 'main' of https://github.com/MING-ZCH/EmoLLM
CII-Bench May 11, 2024
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Update README.md
CII-Bench May 11, 2024
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8 changes: 7 additions & 1 deletion README.md
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Expand Up @@ -178,6 +178,7 @@
- [🎨微调指南](#微调指南)
- [🔧部署指南](#部署指南)
- [⚙RAG(检索增强生成)](#rag检索增强生成)
- [🎓评测指南](#评测指南)
- [使用到的框架](#使用到的框架)
- [如何参与本项目](#如何参与本项目)
- [作者（排名不分先后）](#作者排名不分先后)
Expand Down Expand Up @@ -205,7 +206,8 @@ git clone https://github.com/SmartFlowAI/EmoLLM.git
- [数据构建](#数据构建)
- [微调指南](#微调指南)
- [部署指南](#部署指南)
- [RAG](#rag检索增强生成pipeline)
- [RAG](#rag检索增强生成)
- [评测指南](#评测指南)
- 查看更多详情


Expand Down Expand Up @@ -234,6 +236,10 @@ git clone https://github.com/SmartFlowAI/EmoLLM.git

- 详见[RAG](rag/README.md)

### 🎓评测指南

- 本模型评测分为通用评测和专业评测，请阅读[评测指南](evaluate/README.md)查阅

<details>
<summary>更多详情</summary>

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10 changes: 8 additions & 2 deletions README_EN.md
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Expand Up @@ -179,6 +179,7 @@ The Model aims to fully understand and promote the mental health of individuals,
- [🎨Fine-tuning Guide](#fine-tuning-guide)
- [🔧Deployment Guide](#deployment-guide)
- [⚙RAG (Retrieval Augmented Generation)](#rag-retrieval-augmented-generation)
- [🎓Evaluation Guide](#evaluation-guide)
- [Frameworks Used](#frameworks-used)
- [How to participate in this project](#how-to-participate-in-this-project)
- [Version control](#version-control)
Expand Down Expand Up @@ -206,7 +207,8 @@ git clone https://github.com/SmartFlowAI/EmoLLM.git
- [Data Construction](#data-construction)
- [Fine-tuning Guide](#fine-tuning-guide)
- [Deployment Guide](#deployment-guide)
- [RAG](#rag-retrieval-augmented-generation-pipeline)
- [RAG](#rag-retrieval-augmented-generation)
- [Evaluation Guide](#evaluation-guide)
- View More Details


Expand All @@ -216,7 +218,7 @@ git clone https://github.com/SmartFlowAI/EmoLLM.git

### 📌Data Construction

- Please read the [Data Construction Guide ](generate_data/tutorial_EN.md)for reference.
- Please read the [Data Construction Guide ](generate_data/tutorial_EN.md) for reference.

- The dataset used for this fine-tuning can be found at [datasets](datasets/data.json)

Expand All @@ -233,6 +235,10 @@ For details, see the [fine-tuning guide](xtuner_config/README_EN.md)

- See [RAG](rag/README_EN.md)

### 🎓Evaluation Guide

- The model evaluation is divided into **General Metrics Evaluation** and **Professional Metrics Evaluation**，Please read the [evaluation guide](evaluate/README.md) for reference.

<details>
<summary>Additional Details</summary>

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