metadata
license: apache-2.0
datasets:
- gair-prox/RedPajama-pro
language:
- en
tags:
- math
- reasoning
ProX-RedPJ-0.3B
ProX-RedPJ-0.3B 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 | 22.6% | 41.9% | 29.7% | 32.8% | 26.2% | 26.4% | 62.2% | 39.3% | 51.3% | 63.3% | 39.6 |
| ours | 25.9% | 47.5% | 29.2% | 36.7% | 28.1% | 30.2% | 64.6% | 38.0% | 51.7% | 71.4% | 42.3 |
Citation
@misc{TBD
}