Adding Evaluation Results

README.md

@@ -1,5 +1,108 @@
 ---
 license: cc-by-nc-4.0
+model-index:
+- name: yi-9b-may-ortho-baukit-30fail-3000total-bf16
+  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: 60.58
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Edgerunners/yi-9b-may-ortho-baukit-30fail-3000total-bf16
+      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: 76.91
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Edgerunners/yi-9b-may-ortho-baukit-30fail-3000total-bf16
+      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: 66.74
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Edgerunners/yi-9b-may-ortho-baukit-30fail-3000total-bf16
+      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: 53.38
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Edgerunners/yi-9b-may-ortho-baukit-30fail-3000total-bf16
+      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: 72.77
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Edgerunners/yi-9b-may-ortho-baukit-30fail-3000total-bf16
+      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: 68.01
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Edgerunners/yi-9b-may-ortho-baukit-30fail-3000total-bf16
+      name: Open LLM Leaderboard
 ---
 
 new 9b-yi released in may
@@ -18,4 +121,17 @@ applied to llama3 8b instruct
 3. The Provider disclaims all liability for any damages or losses resulting from the use or misuse of the Model, including but not limited to any damages or losses arising from the use of the Model for purposes other than those intended by the Provider.
 4. The Provider does not endorse or condone the use of the Model for any purpose that violates applicable laws, regulations, or ethical standards.
 5. The Provider does not warrant that the Model will meet your specific requirements or that it will be error-free or that it will function without interruption.
-6. You assume all risks associated with the use of the Model, including but not limited to any loss of data, loss of business, or damage to your reputation.
+6. You assume all risks associated with the use of the Model, including but not limited to any loss of data, loss of business, or damage to your reputation.
+# [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_Edgerunners__yi-9b-may-ortho-baukit-30fail-3000total-bf16)
+
+|             Metric              |Value|
+|---------------------------------|----:|
+|Avg.                             |66.40|
+|AI2 Reasoning Challenge (25-Shot)|60.58|
+|HellaSwag (10-Shot)              |76.91|
+|MMLU (5-Shot)                    |66.74|
+|TruthfulQA (0-shot)              |53.38|
+|Winogrande (5-shot)              |72.77|
+|GSM8k (5-shot)                   |68.01|
+