diff --git a/evaluate/General_evaluation.md b/evaluate/General_evaluation.md
index 0705707..191392e 100644
--- a/evaluate/General_evaluation.md
+++ b/evaluate/General_evaluation.md
@@ -45,6 +45,6 @@ pip install torch transformers datasets nltk rouge jieba
 
 | Model    | ROUGE-1 | ROUGE-2 | ROUGE-L | BLEU-1  | BLEU-2  | BLEU-3  | BLEU-4  |
 |----------|---------|---------|---------|---------|---------|---------|---------|
-| Qwen1_5-0_5B-Chat | 27.23%  | 8.55%   | 17.05%  | 26.65%  | 13.11%  | 7.19%   | 4.05%   |
-| InternLM2_7B_chat  | 37.86%  | 15.23%   | 24.34%  | 39.71%  | 22.66%  | 14.26%   | 9.21%   |
+| Qwen1_5-0_5B-chat | 27.23%  | 8.55%   | 17.05%  | 26.65%  | 13.11%  | 7.19%   | 4.05%   |
+| InternLM2_7B_chat_qlora | 37.86%  | 15.23%   | 24.34%  | 39.71%  | 22.66%  | 14.26%   | 9.21%   |
 | InternLM2_7B_chat_full  | 32.45%  | 10.82%   | 20.17%  | 30.48%  | 15.67%  | 8.84%   | 5.02%   |
diff --git a/evaluate/Professional_evaluation.md b/evaluate/Professional_evaluation.md
index 9562f0c..8a58eab 100644
--- a/evaluate/Professional_evaluation.md
+++ b/evaluate/Professional_evaluation.md
@@ -14,7 +14,9 @@
 
 ## 评测结果
 
-评测模型: [EmoLLM](https://openxlab.org.cn/models/detail/jujimeizuo/EmoLLM_Model)(InternLM2_7B_chat_qlora), 得分：
+* 评测模型: [EmoLLM V1.0](https://openxlab.org.cn/models/detail/jujimeizuo/EmoLLM_Model)(InternLM2_7B_chat_qlora)
+* 得分：
+
 |       Metric      |    Value   |
 |-------------------|------------|
 | Comprehensiveness | 1.32       |
@@ -24,7 +26,7 @@
 
 ## 比较
 
-* [EmoLLM](https://openxlab.org.cn/models/detail/jujimeizuo/EmoLLM_Model) 在 InternLM2-7B-Chat 基础上提升较大；相比 Role-playing ChatGPT 在心理咨询任务上能力相近
+* [EmoLLM V1.0](https://openxlab.org.cn/models/detail/jujimeizuo/EmoLLM_Model) 在 InternLM2_7B_Chat 基础上提升较大；相比 Role-playing ChatGPT 在心理咨询任务上能力相近
 
 * 对比结果图片来源于论文《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)
diff --git a/evaluate/Professional_evaluation_EN.md b/evaluate/Professional_evaluation_EN.md
new file mode 100644
index 0000000..7d46cc1
--- /dev/null
+++ b/evaluate/Professional_evaluation_EN.md
@@ -0,0 +1,32 @@
+# 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)
diff --git a/evaluate/README.md b/evaluate/README.md
index a58d903..c2f9eb7 100644
--- a/evaluate/README.md
+++ b/evaluate/README.md
@@ -6,7 +6,7 @@
 
 | Model    | ROUGE-1 | ROUGE-2 | ROUGE-L | BLEU-1  | BLEU-2  | BLEU-3  | BLEU-4  |
 |----------|---------|---------|---------|---------|---------|---------|---------|
-| Qwen1_5-0_5B-Chat | 27.23%  | 8.55%   | 17.05%  | 26.65%  | 13.11%  | 7.19%   | 4.05%   |
+| Qwen1_5-0_5B-chat | 27.23%  | 8.55%   | 17.05%  | 26.65%  | 13.11%  | 7.19%   | 4.05%   |
 | InternLM2_7B_chat_qlora  | 37.86%  | 15.23%   | 24.34%  | 39.71%  | 22.66%  | 14.26%   | 9.21%   |
 | InternLM2_7B_chat_full  | 32.45%  | 10.82%   | 20.17%  | 30.48%  | 15.67%  | 8.84%   | 5.02%   |
 ## 专业指标评测
diff --git a/evaluate/README_EN.md b/evaluate/README_EN.md
index 0816e55..cbb8aa9 100644
--- a/evaluate/README_EN.md
+++ b/evaluate/README_EN.md
@@ -6,17 +6,14 @@
 
 | Model    | ROUGE-1 | ROUGE-2 | ROUGE-L | BLEU-1  | BLEU-2  | BLEU-3  | BLEU-4  |
 |----------|---------|---------|---------|---------|---------|---------|---------|
-| Qwen1_5-0_5B-Chat | 27.23%  | 8.55%   | 17.05%  | 26.65%  | 13.11%  | 7.19%   | 4.05%   |
-| InternLM2_7B_chat  | 37.86%  | 15.23%   | 24.34%  | 39.71%  | 22.66%  | 14.26%   | 9.21%   |
+| Qwen1_5-0_5B-chat | 27.23%  | 8.55%   | 17.05%  | 26.65%  | 13.11%  | 7.19%   | 4.05%   |
+| InternLM2_7B_chat_qlora | 37.86%  | 15.23%   | 24.34%  | 39.71%  | 22.66%  | 14.26%   | 9.21%   |
 | InternLM2_7B_chat_full  | 32.45%  | 10.82%   | 20.17%  | 30.48%  | 15.67%  | 8.84%   | 5.02%   |
 
 ## Professional Metrics Evaluation
 
 * For specific metrics and methods, see [Professional_evaluation_EN.md](./Professional_evaluation_EN.md)
 
-|       Metric      |    Value   |
-|-------------------|------------|
-| Comprehensiveness | 1.32       |
-| Professionalism   | 2.20       |
-| Authenticity      | 2.10       |
-| Safety            | 1.00       |
+|       Model       |    Comprehensiveness  |   rofessionalism  |  Authenticity   | Safety  |
+|-------------------|-----------------------|-------------------|-----------------|---------|
+| InternLM2_7B_chat_qlora |      1.32       |        2.20       |      2.10       | 1.00    |