---
license: apache-2.0
datasets:
- gair-prox/RedPajama-pro
language:
- en
tags:
- math
- reasoning
---

# ProX-RedPJ-0.3B

<p align="center">
  <img src="prox.png" width="200">
</p>

[ArXiv](http://arxiv.org/abs/xxxx) | [Models](https://huggingface.co/gair-prox/ProX-RedPJ-0.3B) | [Data](https://huggingface.co/datasets/gair-prox/RedPajama-pro) | [Code](https://github.com/GAIR-NLP/program-every-example)

**ProX-RedPJ-0.3B** is a tiny language model. It was and trained on the [RedPajama-V2-pro](https://huggingface.co/datasets/gair-prox/RedPajama-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
}
```