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

@@ -17,4 +17,17 @@ datasets:
 ProofGPT-v0.1 is a 6.7B parameter language model based on the GPT-NeoX architecture and trained on the [proof-pile](https://huggingface.co/datasets/hoskinson-center/proof-pile) (v1.1). 
 We initiailized training with pythia-6.7b weights, a precursor to the [pythia-6.9b](https://huggingface.co/EleutherAI/pythia-6.9b) model that has roughly equivalent performance. 
 
-Detailed evaluations coming soon :) 
+Detailed evaluations coming soon :) 
+# [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_hoskinson-center__proofGPT-v0.1-6.7B)
+
+| Metric                | Value                     |
+|-----------------------|---------------------------|
+| Avg.                  | 25.82   |
+| ARC (25-shot)         | 23.29          |
+| HellaSwag (10-shot)   | 28.45    |
+| MMLU (5-shot)         | 24.57         |
+| TruthfulQA (0-shot)   | 50.87   |
+| Winogrande (5-shot)   | 51.14   |
+| GSM8K (5-shot)        | 0.0        |
+| DROP (3-shot)         | 2.43         |