35 lines
1.6 KiB
Markdown
35 lines
1.6 KiB
Markdown
# 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:
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* [EmoLLM V1.0](https://openxlab.org.cn/models/detail/jujimeizuo/EmoLLM_Model) (InternLM2_7B_chat_qlora)
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* [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 |
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|-------------------|-----------------------|-------------------|-----------------|---------|
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| InternLM2_7B_chat_qlora | 1.32 | 2.20 | 2.10 | 1.00 |
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| 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!
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* 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》
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