Adding Evaluation Results (#1)

- Adding Evaluation Results (82bc40c9d6606244f66738f4009b520d78908a1b)


Co-authored-by: Open LLM Leaderboard PR Bot <leaderboard-pr-bot@users.noreply.huggingface.co>

README.md

@@ -1,8 +1,8 @@
 ---
-license: llama2
 language:
 - zh
 - en
+license: llama2
 library_name: transformers
 tags:
 - llama2
@@ -17,6 +17,109 @@ datasets:
 - BAAI/COIG
 - wenhu/TheoremQA
 - zjunlp/KnowLM-IE
+model-index:
+- name: yuren-13b-chatml
+  results:
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: AI2 Reasoning Challenge (25-Shot)
+      type: ai2_arc
+      config: ARC-Challenge
+      split: test
+      args:
+        num_few_shot: 25
+    metrics:
+    - type: acc_norm
+      value: 53.07
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=pleisto/yuren-13b-chatml
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: HellaSwag (10-Shot)
+      type: hellaswag
+      split: validation
+      args:
+        num_few_shot: 10
+    metrics:
+    - type: acc_norm
+      value: 78.03
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=pleisto/yuren-13b-chatml
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MMLU (5-Shot)
+      type: cais/mmlu
+      config: all
+      split: test
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 56.34
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=pleisto/yuren-13b-chatml
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: TruthfulQA (0-shot)
+      type: truthful_qa
+      config: multiple_choice
+      split: validation
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: mc2
+      value: 42.32
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=pleisto/yuren-13b-chatml
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: Winogrande (5-shot)
+      type: winogrande
+      config: winogrande_xl
+      split: validation
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 74.43
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=pleisto/yuren-13b-chatml
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: GSM8k (5-shot)
+      type: gsm8k
+      config: main
+      split: test
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 28.13
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=pleisto/yuren-13b-chatml
+      name: Open LLM Leaderboard
 ---
 
 # Yuren-13B （羽人13B）
@@ -235,4 +338,17 @@ We strongly advise implementing additional security measures when using the mode
 
 虽然我们已经尽可能确保模型训练过程中的数据合规性，但由于模型和数据的复杂性，可能存在无法预见的问题。如果由于使用羽人 13B 开源模型而导致的任何问题，包括但不限于数据安全问题、公共舆论风险，或模型被误导、滥用、传播或不当利用所带来的任何风险和问题，我们不承担任何责任。
 
-我们强烈建议在使用模型时采用额外的安全措施，如对模型的输入输出进行过滤、审查或限制，以免对用户造成伤害。科技的发展应在规范和合法的环境下进行，我们希望所有使用者都能秉持这一原则。我们将持续改进模型的训练和使用，以提升其安全性和有效性。
+我们强烈建议在使用模型时采用额外的安全措施，如对模型的输入输出进行过滤、审查或限制，以免对用户造成伤害。科技的发展应在规范和合法的环境下进行，我们希望所有使用者都能秉持这一原则。我们将持续改进模型的训练和使用，以提升其安全性和有效性。
+# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
+Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_pleisto__yuren-13b-chatml)
+
+|             Metric              |Value|
+|---------------------------------|----:|
+|Avg.                             |55.39|
+|AI2 Reasoning Challenge (25-Shot)|53.07|
+|HellaSwag (10-Shot)              |78.03|
+|MMLU (5-Shot)                    |56.34|
+|TruthfulQA (0-shot)              |42.32|
+|Winogrande (5-shot)              |74.43|
+|GSM8k (5-shot)                   |28.13|
+