Update README.md

README.md

@@ -50,6 +50,19 @@ All pre-training is done on the [Cultura-X](https://huggingface.co/datasets/uonl
 
 ## Tokenizer Details
 We extended the vocabulary of the base llama model from 32,000 tokens to 57,000 tokens by adding up to 25,000 non-overlapping tokens from the new language.
+## Evaluation
+
+|| SambaLingo-Arabic-Base       | Jais-13b | bloomz-7 | xglm-7.5 | mGPT-13B |
+|------------------------------|----------|----------|----------|----------|--------|
+| Perplexity (Lower Is Better) | **1.422**    | 1.504    | 1.578    | 1.623    | 2.066  |
+| FLORES en->ar (8 shot, CHRF) | **0.501**    | 0.476    | 0.259    | 0.415    | 0.138  |
+| FLORES ar->en (8 shot, CHRF) | **0.610**    | 0.584    | 0.176    | 0.133    | 0.141  |
+| FLORES en->ar (8 shot, BLEU) | **0.169**    |     | 0.011   | 0.009    |    0.003    |
+| FLORES ar->en (8 shot, BLEU) | **0.339**    | | 0.036    | 0.153    | 0.005    |       
+| Belebele (3 shot)            | **39.00%**   | 34.40%   | 29.00%   | 21.89%   | 23.67% |
+| SIB-200 (3 shot)             | 71.57%   | **76.47%**   | 63.24%   | 65.20%   | 46.57% |
+| XNLI (0 shot)                | 33.57%   | **36.33%**   | 33.79%   | 33.37%   | 33.43% |
+| XStoryCloze (0 shot)         | **66.25%**   | 63.34%   | 58.50%   | 56.19%   | 51.62% |
 
 ## Uses
 <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->