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# EmoLLM's professional evaluation
## Introduction
This document describes a professional evaluation method and provides EmoLLM's scores on professional metrics.
## Evaluation
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The evaluation method, metric, and dataset from the paper[《CPsyCoun: A Report-based Multi-turn Dialogue Reconstruction and Evaluation Framework for Chinese Psychological Counseling》](https://arxiv.org/abs/2405.16433).
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* Metric: Comprehensiveness, Professionalism, Authenticity, Safety
* Method: Turn-Based Dialogue Evaluation
* Dataset: CPsyCounE
## Result
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* Model:
* [EmoLLM V1.0 ](https://openxlab.org.cn/models/detail/jujimeizuo/EmoLLM_Model ) (InternLM2_7B_chat_qlora)
* [EmoLLM V2.0 ](https://openxlab.org.cn/apps/detail/Farewell1/EmoLLMV2.0 ) (InternLM2_7B_chat_full)
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* Score:
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| Model | Comprehensiveness | Professionalism | Authenticity | Safety |
|-------------------|-----------------------|-------------------|-----------------|---------|
| InternLM2_7B_chat_qlora | 1.32 | 2.20 | 2.10 | 1.00 |
| InternLM2_7B_chat_full | 1.40 | 2.45 | 2.24 | 1.00 |
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## Comparison
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* EmoLLM V2.0 is greatly improved in all scores compared to EmoLLM V1.0! Surpasses the performance of Role-playing ChatGPT on counseling tasks!
* EmoLLM V1.0 is greatly improved on InternLM2_7B_Chat; Performance on the counseling task was similar compared to ChatGPT(Role-playing)
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* 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 )