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@ -14,19 +14,21 @@ The evaluation method, metric, and dataset from the paper《CPsyCoun: A Report-b
## Result
* Model: [EmoLLM V1.0](https://openxlab.org.cn/models/detail/jujimeizuo/EmoLLM_Model)(InternLM2_7B_chat_qlora)
* 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)
* Score：
| Metric | Value |
|-------------------|------------|
| Comprehensiveness | 1.32 |
| Professionalism | 2.20 |
| Authenticity | 2.10 |
| Safety | 1.00 |
| 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 |
## 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)
* 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)
* 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)