Update README.md

README.md

@@ -18,13 +18,13 @@ Model evaluation results obtained via [lm-evaluation-harness](https://github.com
 | Benchmark                                      | Meta-Llama-3-8B  | Meta-Llama-3-8B-pruned_50.2of4 | Meta-Llama-3-8B-pruned_50.2of4-FP8<br>(this model) |
 |:----------------------------------------------:|:-----------:|:-----------------------------:|:-----------------------------:|
 | [ARC-c](https://arxiv.org/abs/1911.01547)<br> 25-shot     | 59.47%       | 57.76%           | 58.02%            |
-| [MMLU](https://arxiv.org/abs/2009.03300)<br> 5-shot       | 65.29%       | 60.44%           | xxxxxx            |
+| [MMLU](https://arxiv.org/abs/2009.03300)<br> 5-shot       | 65.29%       | 60.44%           | 60.71%            |
 | [HellaSwag](https://arxiv.org/abs/1905.07830)<br> 10-shot | 82.14%       | 79.97%           | 79.61%            |
 | [WinoGrande](https://arxiv.org/abs/1907.10641)<br> 5-shot | 77.27%       | 77.19%           | 76.32%            |
 | [GSM8K](https://arxiv.org/abs/2110.14168)<br> 5-shot      | 44.81%       | 47.92%           | 49.36%            |
 | [TruthfulQA](https://arxiv.org/abs/2109.07958)<br> 0-shot | 43.96%       | 41.02%           | 40.82%            |
-| **Average<br>Accuracy**                                   | **62.16%**   | **60.72%**       | xxxxxx            |
-| **Recovery**                                              | **100%**     | **97.68%**       | xxxxxx            |
+| **Average<br>Accuracy**                                   | **62.16%**   | **60.72%**       | **60.81%**        |
+| **Recovery**                                              | **100%**     | **97.68%**       | **97.83%**        |
 
 
 ## Help