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

@@ -104,4 +104,17 @@ At the end of the loop, the a and b variables will hold the Fibonacci numbers fr
 Instruction: What is recursion?
 
 Response: Recursion is a way of defining a method in which the method calls itself until a certain condition is met. In Python, recursion is used when there is a task that can be broken into smaller tasks that can be done recursively. A recursive function can be defined as any function that calls itself in the body of the function.
-```
+```
+# [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_chansung__gpt4-alpaca-lora-13b-decapoda-1024)
+
+| Metric                | Value                     |
+|-----------------------|---------------------------|
+| Avg.                  | 47.68   |
+| ARC (25-shot)         | 59.39          |
+| HellaSwag (10-shot)   | 81.87    |
+| MMLU (5-shot)         | 47.75         |
+| TruthfulQA (0-shot)   | 52.59   |
+| Winogrande (5-shot)   | 77.35   |
+| GSM8K (5-shot)        | 8.11        |
+| DROP (3-shot)         | 6.74         |