Update README.md

README.md

@@ -26,6 +26,17 @@ Models input text only.
 Models output text only.
 ## Model Evaluation Results
 
+| Model         | Avg.   | [ArabicMMLU]((https://github.com/mbzuai-nlp/ArabicMMLU)) | [ArabicMMLU]((https://github.com/mbzuai-nlp/ArabicMMLU)) | ARC   | EXAMs | ACVA (clean) | ACVA (all) |
+|---------------|--------|----------------|-----------------------|-------|-------|--------------|------------|
+| MgGPT-7B      | 45.19  | 34.03          | 37.00                | 17.49 | 37.28 | 72.69        | 72.67      |
+| MgGPT-8B      | 58.94  | 48.41          | 50.17                | 49.91 | 46.15 | 80.14        | 78.84      |
+| MgGPT-13B     | 52.11  | 40.95          | 47.60                | 31.57 | 35.10 | 79.45        | 78.01      |
+| MgGPT-32B     | 68.75  | 58.71          | 65.67                | 71.69 | 52.74 | 82.66        | 81.04      |
+| MgGPT-70B     | 72.62  | 65.19          | 67.71                | 80.93 | 56.19 | 84.79        | 80.93      |
+| Jais-30B-v3   | 57.02  | 43.42          | 44.47                | 45.56 | 45.70 | 83.39        | 79.51      |
+| GPT-3.5       | 60.71  | 49.07          | 57.70                | 60.24 | 45.93 | 74.45        | 76.88      |
+| GPT-4         | 74.08  | 65.06          | 72.50                | 85.67 | 57.76 | 84.06        | 79.43      |
+
 <!-- Benchmark evaluation on [Arabic MMLU](https://github.com/FreedomIntelligence/AceGPT) are conducted using accuracy scores as metrics, following the evaluation framework available at https://github.com/FreedomIntelligence/AceGPT/tree/main. -->
 |                  | STEM | Humanities | Social Sciences | Others | Average |
 |------------------|------|------|------|------|------|