Update README.md

Add HuggingFaceH4 benchmark metrics

README.md

@@ -3,6 +3,7 @@ language:
 - en
 datasets:
 - garage-bAInd/OpenPlatypus
+license: agpl-3.0
 ---
 
 # Platypus2-70B-instruct
@@ -15,11 +16,11 @@ Platypus-70B-instruct is a merge of [`garage-bAInd/Platypus2-70B`](https://huggi
 
 | Metric                | Value |
 |-----------------------|-------|
-| MMLU (5-shot)         |  -- |
-| ARC (25-shot)         |  -- |
-| HellaSwag (10-shot)   |  -- |
-| TruthfulQA (0-shot)   |  -- |
-| Avg.                  |  -- |
+| MMLU (5-shot)         | 70.48 |
+| ARC (25-shot)         | 71.84 |
+| HellaSwag (10-shot)   | 87.94 |
+| TruthfulQA (0-shot)   | 62.26 |
+| Avg.                  | 73.13 |
 
 We use state-of-the-art [Language Model Evaluation Harness](https://github.com/EleutherAI/lm-evaluation-harness) to run the benchmark tests above, using the same version as the HuggingFace LLM Leaderboard. Please see below for detailed instructions on reproducing benchmark results.