Update README.md

README.md

@@ -79,7 +79,29 @@ 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 |
+
+### German
+|                                      |   arc_challenge_de |   belebele_de |   hellaswag_de |   mmlu_de |   truthfulqa_de |      avg |
+|:-------------------------------------|-------------------:|--------------:|---------------:|----------:|----------------:|---------:|
+| occiglot/occiglot-7b-eu5             |           0.493584 |      0.646667 |       0.666631 |  0.483406 |        0.251269 | 0.508311 |
+| occiglot/occiglot-7b-eu5-instruct    |           0.529512 |      0.667778 |       0.685205 |  0.488234 |        0.286802 | 0.531506 |
+| occiglot/occiglot-7b-de-en           |           0.50556  |      0.743333 |       0.67421  |  0.514633 |        0.26269  | 0.540085 |
+| occiglot/occiglot-7b-de-en-instruct  |           0.54491  |      0.772222 |       0.688407 |  0.515915 |        0.310914 | 0.566474 |
+| LeoLM/leo-mistral-hessianai-7b       |           0.474765 |      0.691111 |       0.682109 |  0.488309 |        0.252538 | 0.517766 |
+| mistralai/Mistral-7B-v0.1            |           0.476476 |      0.738889 |       0.610589 |  0.529567 |        0.284264 | 0.527957 |
+| mistralai/Mistral-7B-Instruct-v0.2   |           0.485885 |      0.688889 |       0.622438 |  0.501961 |        0.376904 | 0.535215 |
+
 
 </details>