Update README.md

README.md

@@ -92,7 +92,31 @@ Currently, we are working on more suitable benchmarks for Spanish, French, Germa
 
 <details>
 <summary>Evaluation results</summary>
+
   
+### English
+
+|                                      |   arc_challenge |   belebele |   hellaswag |     mmlu |   truthfulqa |      avg |
+|:-------------------------------------|----------------:|-----------:|------------:|---------:|-------------:|---------:|
+| occiglot/occiglot-7b-eu5             |        0.530717 |   0.726667 |    0.789882 | 0.531904 |     0.403678 | 0.59657  |
+| occiglot/occiglot-7b-eu5-instruct    |        0.558874 |   0.746667 |    0.799841 | 0.535109 |     0.449034 | 0.617905 |
+| occiglot/occiglot-7b-de-en           |        0.556314 |   0.791111 |    0.803824 | 0.568438 |     0.423251 | 0.628587 |
+| occiglot/occiglot-7b-de-en-instruct  |        0.604096 |   0.812222 |    0.80004  | 0.570574 |     0.493807 | 0.656148 |
+| LeoLM/leo-mistral-hessianai-7b       |        0.522184 |   0.736667 |    0.777833 | 0.538812 |     0.429248 | 0.600949 |
+| mistralai/Mistral-7B-v0.1            |        0.612628 |   0.844444 |    0.834097 | 0.624555 |     0.426201 | 0.668385 |
+| mistralai/Mistral-7B-Instruct-v0.2   |        0.637372 |   0.824444 |    0.846345 | 0.59201  |     0.668116 | 0.713657 |
+
+### French
+
+|                                      |   arc_challenge_fr |   belebele_fr |   hellaswag_fr |   mmlu_fr |   truthfulqa_fr |      avg |
+|:-------------------------------------|-------------------:|--------------:|---------------:|----------:|----------------:|---------:|
+| occiglot/occiglot-7b-eu5             |           0.506416 |      0.675556 |       0.712358 |  0.495684 |        0.23507  | 0.525017 |
+| occiglot/occiglot-7b-eu5-instruct    |           0.541488 |      0.7      |       0.724245 |  0.499122 |        0.306226 | 0.554216 |
+| occiglot/occiglot-7b-fr-en           |           0.532934 |      0.706667 |       0.718891 |  0.51333  |        0.242694 | 0.542903 |
+| occiglot/occiglot-7b-fr-en-instruct  |           0.542344 |      0.752222 |       0.72553  |  0.52051  |        0.29479  | 0.567079 |
+| OpenLLM-France/Claire-Mistral-7B-0.1 |           0.486741 |      0.694444 |       0.642964 |  0.479566 |        0.271919 | 0.515127 |
+| mistralai/Mistral-7B-v0.1            |           0.525235 |      0.776667 |       0.66481  |  0.543121 |        0.280813 | 0.558129 |
+| mistralai/Mistral-7B-Instruct-v0.2   |           0.551754 |      0.758889 |       0.67916  |  0.506837 |        0.382465 | 0.575821 |
 
 </details>