Update README.md

README.md

@@ -14,13 +14,15 @@ pipeline_tag: text-generation
 
 ### Benchmark Metrics
 
-| Metric                | Value |
-|-----------------------|-------|
-| MMLU (5-shot)         |  -  |
-| ARC (25-shot)         |  -  |
-| HellaSwag (10-shot)   |  -  |
-| TruthfulQA (0-shot)   |  -  |
-| Avg.                  |  -  |
+
+| Metric                | llama-2-7b-hf_open-platypus | meta-llama/Llama-2-7b-hf  (base) |
+|-----------------------|-------|-------|
+| Avg.                  | - | 54.32 |
+| ARC (25-shot)         | - | 53.07 |
+| HellaSwag (10-shot)   | - | 78.59 |
+| MMLU (5-shot)         | - | 46.87 |
+| TruthfulQA (0-shot)   | - | 38.76 |
+
 
 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.