Adding Evaluation Results

README.md

@@ -82,4 +82,17 @@ prompt = "Elmesélek egy történetet a nyelvtechnológiáról."
 generator = pipeline(task="text-generation", model=model, tokenizer=tokenizer)
 
 print(generator(prompt)[0]["generated_text"])
-```
+```
+# [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_NYTK__PULI-GPTrio)
+
+| Metric                | Value                     |
+|-----------------------|---------------------------|
+| Avg.                  | 30.07   |
+| ARC (25-shot)         | 30.72          |
+| HellaSwag (10-shot)   | 53.49    |
+| MMLU (5-shot)         | 24.73         |
+| TruthfulQA (0-shot)   | 39.03   |
+| Winogrande (5-shot)   | 57.77   |
+| GSM8K (5-shot)        | 0.76        |
+| DROP (3-shot)         | 4.03         |