Adding Evaluation Results

README.md

@@ -64,4 +64,17 @@ model = AutoModelForCausalLM.from_pretrained("lgaalves/gpt2_open-platypus")
 
 # Intended uses, limitations & biases
 
-You can use the raw model for text generation or fine-tune it to a downstream task. The model was not extensively tested and may produce false information. It contains a lot of unfiltered content from the internet, which is far from neutral.
+You can use the raw model for text generation or fine-tune it to a downstream task. The model was not extensively tested and may produce false information. It contains a lot of unfiltered content from the internet, which is far from neutral.
+# [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_lgaalves__gpt2_open-platypus)
+
+| Metric                | Value                     |
+|-----------------------|---------------------------|
+| Avg.                  | 25.16   |
+| ARC (25-shot)         | 22.18          |
+| HellaSwag (10-shot)   | 31.29    |
+| MMLU (5-shot)         | 26.19         |
+| TruthfulQA (0-shot)   | 40.35   |
+| Winogrande (5-shot)   | 51.3   |
+| GSM8K (5-shot)        | 0.15        |
+| DROP (3-shot)         | 4.64         |