33 lines
1.3 KiB
Markdown
33 lines
1.3 KiB
Markdown
# EmoLLM's professional evaluation
|
||
|
||
## Introduction
|
||
|
||
This document describes a professional evaluation method and provides EmoLLM's scores on professional metrics.
|
||
|
||
## Evaluation
|
||
|
||
The evaluation method, metric, and dataset from the paper《CPsyCoun: A Report-based Multi-turn Dialogue Reconstruction and Evaluation Framework for Chinese Psychological Counseling》.
|
||
|
||
* Metric: Comprehensiveness, Professionalism, Authenticity, Safety
|
||
* Method: Turn-Based Dialogue Evaluation
|
||
* Dataset: CPsyCounE
|
||
|
||
## Result
|
||
|
||
* Model: [EmoLLM V1.0](https://openxlab.org.cn/models/detail/jujimeizuo/EmoLLM_Model)(InternLM2_7B_chat_qlora)
|
||
* Score:
|
||
|
||
| Metric | Value |
|
||
|-------------------|------------|
|
||
| Comprehensiveness | 1.32 |
|
||
| Professionalism | 2.20 |
|
||
| Authenticity | 2.10 |
|
||
| Safety | 1.00 |
|
||
|
||
## Comparison
|
||
|
||
* [EmoLLM V1.0](https://openxlab.org.cn/models/detail/jujimeizuo/EmoLLM_Model) is greatly improved on InternLM2_7B_Chat; Performance on the counseling task was similar compared to ChatGPT(Role-playing)
|
||
|
||
* The comparison results are from the paper《CPsyCoun: A Report-based Multi-turn Dialogue Reconstruction and Evaluation Framework for Chinese Psychological Counseling》
|
||
![image](https://github.com/MING-ZCH/EmoLLM/assets/119648793/abc9f626-11bc-4ec8-84a4-427c4600a720)
|