Update README.md

README.md

@@ -49,13 +49,12 @@ Model evaluation metrics and results.
 
 | Benchmark                                      | Metric        | Llama-2-7b-instruct  | Llama-2-7b-pruned50-retrained-instruct-quant-ds |
 |------------------------------------------------|---------------|-------------|-------------------------------|
-| [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        | 48.60%      | 44.15%                        |
+| [HellaSwag](https://arxiv.org/abs/1905.07830)  | 10-shot       | 79.45%      | 78.34%                        |
+| [WinoGrande](https://arxiv.org/abs/1907.10641) | 5-shot        | 75.69%      | 72.45%                        |
+| [ARC-c](https://arxiv.org/abs/1911.01547)      | 25-shot       | 53.92%      | 50.51%                        |
+| [TruthfulQA](https://arxiv.org/abs/2109.07958) | 5-shot        | 43.63%      | 44.48%                        |
+| [GSM8K](https://arxiv.org/abs/2110.14168)      | 5-shot        | 15.92%      | 15.31%                        |
 
 ## Help