Update README.md

README.md

@@ -47,13 +47,13 @@ Model evaluation metrics and results.
 
 | Benchmark                                      | Metric        | Llama-2-7b  | Llama-2-7b-pruned50-retrained |
 |------------------------------------------------|---------------|-------------|-------------------------------|
-| [MMLU](https://arxiv.org/abs/2009.03300)       | 5-shot, top-1 | xxxx        | xxxx                          |
-| [HellaSwag](https://arxiv.org/abs/1905.07830)  | 0-shot        | xxxx        | xxxx                          |
-| [WinoGrande](https://arxiv.org/abs/1907.10641) | partial score | xxxx        | xxxx                          |
-| [ARC-c](https://arxiv.org/abs/1911.01547)      |               | xxxx        | xxxx                          |
-| [TruthfulQA](https://arxiv.org/abs/2109.07958) | 5-shot        | xxxx        | xxxx                          |
-| [HumanEval](https://arxiv.org/abs/2107.03374)  | pass@1        | xxxx        | xxxx                          |
-| [GSM8K](https://arxiv.org/abs/2110.14168)      | maj@1         | xxxx        | xxxx                          |
+| [MMLU](https://arxiv.org/abs/2009.03300)       | 5-shot        | 46.9%       | 41.3%                         |
+| [HellaSwag](https://arxiv.org/abs/1905.07830)  | 0-shot        | 78.6%       | 76.5%                         |
+| [WinoGrande](https://arxiv.org/abs/1907.10641) | 5-shot        | 74.0%       | 72.1%                         |
+| [ARC-c](https://arxiv.org/abs/1911.01547)      | 25-shot       | 53.1%       | 49.8%                         |
+| [TruthfulQA](https://arxiv.org/abs/2109.07958) | 5-shot        | 38.8%       | 37.7%                         |
+| [GSM8K](https://arxiv.org/abs/2110.14168)      | 5-shot        | 14.5%       | 9.17%                         |
+| [HumanEval](https://arxiv.org/abs/2107.03374)  | pass@1        | 13.4%       | 14.7%                         |
 
 ## Model Training Details