Update README.md

README.md

@@ -18,16 +18,17 @@ base_model:
 
 [ArXiv](http://arxiv.org/abs/xxxx) | [Data: OpenWebMath-Pro](https://huggingface.co/datasets/gair-prox/open-web-math-pro) | [Code](https://github.com/GAIR-NLP/program-every-example)
 
-**CodeLlama-7B-ProXMath** is a language model that is continually pre-trained on [OpenWebMath-Pro](https://huggingface.co/datasets/gair-prox/open-web-math-pro) (a refined version by ProX) for 10B tokens.
+**CodeLlama-7B-ProXMath** is a language model that is continually pre-trained on [OpenWebMath-Pro](https://huggingface.co/datasets/gair-prox/open-web-math-pro) (a refined version by ProX) for **10**B tokens.
 
 ## Evaluations
 
-ProX models are evaluated over 10 language model benchmarks in zero-shot setting.
+ProX models are evaluated on 9 common math reasoning benchmarks.
+
+| Model                 	| asdiv    	| gsm8k    	| mathqa   	| mawps    	| minerva_math 	| mmlu_stem 	| sat_math 	| svamp    	| tabmwp   	| average  	|
+|-----------------------	|----------	|----------	|----------	|----------	|--------------	|-----------	|----------	|----------	|----------	|----------	|
+| CodeLlama-7B          	| 50.7     	| 11.8     	| 14.3     	| 62.6     	| 5.0          	| 20.4      	| 21.9     	| 44.2     	| 30.6     	| 29.1     	|
+| CodeLlama-7B-ProXMath 	| **67.9** 	| **35.6** 	| **38.9** 	| **82.7** 	| **17.6**     	| **42.6**  	| **62.5** 	| **55.8** 	| **41.3** 	| **49.4** 	|
 
-|                       | ArC-c | ARC-e | CSQA  | HellaS | MMLU  | OBQA  | PiQA  | SIQA  | WinoG | SciQ  | AVG  |
-|-----------------------|-------|-------|-------|-----------|-------|-------|-------|-------|-------|-------|------|
-| raw | 26.1 | 44.3 | 29.7 | 39.1 | 27.3 | 29.2 | 66.9 | 39.0 | 52.0 | 67.4 | 42.1 |
-| ours | 26.4 | 51.9 | 30.9 | 42.4 | 29.4 | 31.6 | 67.9 | 40.0 | 52.2 | 73.5 | 44.6 |
 
 ### Citation
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