Adding Evaluation Results

README.md

@@ -103,4 +103,17 @@ state of the art, but rather further show that chat-like behaviors in LLMs can b
 | dlite-v2-774m |        0.269625 |   0.52904  | 0.613761 |    0.395937 |        0.256 | 0.691513 |     0.566693 |
 | gpt2-xl       |        0.25     |   0.582912 | 0.617737 |    0.400418 |        0.224 | 0.708379 |     0.583268 |
 | dlite-v1-1_5b |        0.268771 |   0.588384 | 0.624159 |    0.401414 |        0.226 | 0.708379 |     0.584846 |
-| dlite-v2-1_5b |        0.289249 |   0.565657 | 0.601223 |    0.434077 |        0.272 | 0.703482 |     0.588003 |
+| dlite-v2-1_5b |        0.289249 |   0.565657 | 0.601223 |    0.434077 |        0.272 | 0.703482 |     0.588003 |
+# [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_aisquared__dlite-v1-124m)
+
+| Metric                | Value                     |
+|-----------------------|---------------------------|
+| Avg.                  | 24.62   |
+| ARC (25-shot)         | 24.32          |
+| HellaSwag (10-shot)   | 31.16    |
+| MMLU (5-shot)         | 25.08         |
+| TruthfulQA (0-shot)   | 36.38   |
+| Winogrande (5-shot)   | 50.2   |
+| GSM8K (5-shot)        | 0.0        |
+| DROP (3-shot)         | 5.2         |