Adding Evaluation Results

README.md

@@ -278,4 +278,17 @@ current naming convention (70M, 160M, etc.) is based on total parameter count.
 | 2.8B                  | 2.7B       | 2,775,208,960  | 2,517,652,480        |
 | 6.9B                  | 6.7B       | 6,857,302,016  | 6,444,163,072        |
 | 12B                   | 13B        | 11,846,072,320 | 11,327,027,200       |
-</figure>
+</figure>
+# [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_EleutherAI__pythia-160m-deduped)
+
+| Metric                | Value                     |
+|-----------------------|---------------------------|
+| Avg.                  | 25.66   |
+| ARC (25-shot)         | 24.06          |
+| HellaSwag (10-shot)   | 31.39    |
+| MMLU (5-shot)         | 24.86         |
+| TruthfulQA (0-shot)   | 44.34   |
+| Winogrande (5-shot)   | 51.38   |
+| GSM8K (5-shot)        | 0.23        |
+| DROP (3-shot)         | 3.38         |