Llama-2-7B-ProXMath

ArXiv | Data: OpenWebMath-Pro | Code

Llama-2-7B-ProXMath is a math-adapted Llama-2-7B model that is continually pre-trained on OpenWebMath-Pro (a refined version by ProX) for 10B tokens.

Evaluations

ProX models are evaluated on 9 common math reasoning benchmarks.

Model	asdiv	gsm8k	mathqa	mawps	minerva_math	mmlu_stem	sat_math	svamp	tabmwp	average
Llama-2-7B	51.6	14.1	12.5	63.6	3.8	32.9	34.4	39.5	30.9	31.48
Llama-2-7B-ProXMath	63.7	30.6	40.1	79.3	16.8	43.8	53.1	50.2	37.3	46.1

Citation

@article{zhou2024programming,
  title={Programming Every Example: Lifting Pre-training Data Quality like Experts at Scale},
  author={Zhou, Fan and Wang, Zengzhi and Liu, Qian and Li, Junlong and Liu, Pengfei},
  journal={arXiv preprint arXiv:2409.17115},
  year={2024}
}