Adding Evaluation Results

This is an automated PR created with https://huggingface.co./spaces/Weyaxi/open-llm-leaderboard-results-pr

The purpose of this PR is to add evaluation results from the Open LLM Leaderboard to your model card.

If you encounter any issues, please report them to https://huggingface.co./spaces/Weyaxi/open-llm-leaderboard-results-pr/discussions

README.md

@@ -1,6 +1,101 @@
 ---
 base_model:
 - unsloth/Meta-Llama-3.1-8B
+model-index:
+- name: Llama-3.1-8B-Experimental-1206-Instruct
+  results:
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: IFEval (0-Shot)
+      type: HuggingFaceH4/ifeval
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: inst_level_strict_acc and prompt_level_strict_acc
+      value: 69.67
+      name: strict accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=sethuiyer/Llama-3.1-8B-Experimental-1206-Instruct
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: BBH (3-Shot)
+      type: BBH
+      args:
+        num_few_shot: 3
+    metrics:
+    - type: acc_norm
+      value: 30.06
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=sethuiyer/Llama-3.1-8B-Experimental-1206-Instruct
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MATH Lvl 5 (4-Shot)
+      type: hendrycks/competition_math
+      args:
+        num_few_shot: 4
+    metrics:
+    - type: exact_match
+      value: 11.1
+      name: exact match
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=sethuiyer/Llama-3.1-8B-Experimental-1206-Instruct
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: GPQA (0-shot)
+      type: Idavidrein/gpqa
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: acc_norm
+      value: 6.6
+      name: acc_norm
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=sethuiyer/Llama-3.1-8B-Experimental-1206-Instruct
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MuSR (0-shot)
+      type: TAUR-Lab/MuSR
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: acc_norm
+      value: 8.5
+      name: acc_norm
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=sethuiyer/Llama-3.1-8B-Experimental-1206-Instruct
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MMLU-PRO (5-shot)
+      type: TIGER-Lab/MMLU-Pro
+      config: main
+      split: test
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 28.1
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=sethuiyer/Llama-3.1-8B-Experimental-1206-Instruct
+      name: Open LLM Leaderboard
 ---
 # Llama 3.1 8B Experimental 1206
 
@@ -56,3 +151,17 @@ Research is ongoing to address the limitations of large language models. Efforts
 ### **Conclusion**
 
 Large language models represent a significant advancement in the field of artificial intelligence, demonstrating remarkable abilities to process and generate human language. Their versatility and power have opened up numerous applications across industries, from healthcare and education to entertainment and customer service. However, realizing their full potential requires addressing the ethical, technical, and societal challenges they present. As research and development continue, large language models are poised to become even more integral to the way we interact with technology and each other.
+
+# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
+Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/sethuiyer__Llama-3.1-8B-Experimental-1206-Instruct-details)
+
+|      Metric       |Value|
+|-------------------|----:|
+|Avg.               |25.67|
+|IFEval (0-Shot)    |69.67|
+|BBH (3-Shot)       |30.06|
+|MATH Lvl 5 (4-Shot)|11.10|
+|GPQA (0-shot)      | 6.60|
+|MuSR (0-shot)      | 8.50|
+|MMLU-PRO (5-shot)  |28.10|
+