Adding Evaluation Results

README.md

@@ -3,10 +3,113 @@ license: other
 license_name: yi-license
 license_link: LICENSE
 widget:
-  - text: "你好! 你叫什么名字!"
-    output:
-      text: "你好，我的名字叫聚言，很高兴见到你。"
+- text: 你好! 你叫什么名字!
+  output:
+    text: 你好，我的名字叫聚言，很高兴见到你。
 pipeline_tag: text-generation
+model-index:
+- name: OrionStar-Yi-34B-Chat-Llama
+  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: 64.93
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=OrionStarAI/OrionStar-Yi-34B-Chat-Llama
+      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: 84.34
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=OrionStarAI/OrionStar-Yi-34B-Chat-Llama
+      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: 73.67
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=OrionStarAI/OrionStar-Yi-34B-Chat-Llama
+      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: 53.35
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=OrionStarAI/OrionStar-Yi-34B-Chat-Llama
+      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: 78.85
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=OrionStarAI/OrionStar-Yi-34B-Chat-Llama
+      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: 53.9
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=OrionStarAI/OrionStar-Yi-34B-Chat-Llama
+      name: Open LLM Leaderboard
 ---
 
 [OrionStarAI/OrionStar-Yi-34B-Chat-Llama](https://huggingface.co/OrionStarAI/OrionStar-Yi-34B-Chat-Llama/tree/main) 
@@ -44,4 +147,17 @@ from [opencompass leaderboard](https://opencompass.org.cn/leaderboard-llm).
 | **LLaMA-2-70B-Chat**      | 44.3      | 63.8   | 43.3      |
 | **Qwen-14B-Chat**         | 71.7      | 66.4   | 70        |
 | **Baichuan2-13B-Chat**    | 56.7      | 57     | 58.4      |      	
-| **OrionStar-Yi-34B-Chat** | **77.71** | 78.32  | **73.52** |  
+| **OrionStar-Yi-34B-Chat** | **77.71** | 78.32  | **73.52** |  
+# [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_OrionStarAI__OrionStar-Yi-34B-Chat-Llama)
+
+|             Metric              |Value|
+|---------------------------------|----:|
+|Avg.                             |68.17|
+|AI2 Reasoning Challenge (25-Shot)|64.93|
+|HellaSwag (10-Shot)              |84.34|
+|MMLU (5-Shot)                    |73.67|
+|TruthfulQA (0-shot)              |53.35|
+|Winogrande (5-shot)              |78.85|
+|GSM8k (5-shot)                   |53.90|
+