33 lines
1.3 KiB
Markdown
33 lines
1.3 KiB
Markdown
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# EmoLLM's professional evaluation
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## Introduction
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This document describes a professional evaluation method and provides EmoLLM's scores on professional metrics.
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## 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》.
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* Metric: Comprehensiveness, Professionalism, Authenticity, Safety
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* Method: Turn-Based Dialogue Evaluation
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* Dataset: CPsyCounE
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## Result
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* Model: [EmoLLM V1.0](https://openxlab.org.cn/models/detail/jujimeizuo/EmoLLM_Model)(InternLM2_7B_chat_qlora)
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* Score:
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| Metric | Value |
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|-------------------|------------|
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| Comprehensiveness | 1.32 |
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| Professionalism | 2.20 |
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| Authenticity | 2.10 |
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| Safety | 1.00 |
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## Comparison
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* [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)
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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》
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![image](https://github.com/MING-ZCH/EmoLLM/assets/119648793/abc9f626-11bc-4ec8-84a4-427c4600a720)
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