RedPJ-ProX-0.7B
RedPJ-ProX-0.7B is a tiny language model. It was and trained on the RedPajama-V2-pro for 25B tokens.
Evaluations
ProX models are evaluated over 10 language model benchmarks in zero-shot setting.
| 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
@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}
}