Chore: update Nemo12B eval results

Update evaluation results for Mistral-Nemo-Base-2407 (12B)

README.md

@@ -328,6 +328,7 @@ Also, we evaluate our model on the benchmarks of the first leaderboard using `li
 | `Meta-Llama-3-8B`            | 60.24  | 82.23     | 66.70 | 78.45      | 42.93      | 45.19 | 62.62            |
 | `Meta-Llama-3.1-8B`            | 58.53  | 82.13     | 66.43 | 74.35      | 44.29      | 47.92 | 62.28            |
 | `Mistral-7B-v0.1`            | 59.98  | 83.31     | 64.16 | 78.37      | 42.15      | 37.83 | 60.97            |
+| `Mistral-Nemo-Base-2407 (12B)`<sup>*</sup>       | 57.94  | 82.82 |    64.43   | 73.72  | 49.14  | 55.27    |  63.89  |
 | `gemma-7B`                   | 61.09  |   82.20   | 64.56 |   79.01    |   44.79    | 50.87 |  63.75           |
 |***RWKV models***             |        |       |           |       |       |          |         |
 | `RWKV-v6-Finch-7B`<sup>*</sup>          | 43.86  | 75.19 |    41.69   | 68.27  | 42.19  | 19.64    |  48.47  |