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--- |
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license: apache-2.0 |
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datasets: |
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- gair-prox/FineWeb-pro |
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language: |
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- en |
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tags: |
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- llama |
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pipeline_tag: text-generation |
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--- |
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# FW-ProX-1.7B |
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<p align="center"> |
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<img src="prox-teaser.png"> |
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</p> |
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[ArXiv](http://arxiv.org/abs/xxxx) | [Models](https://huggingface.co/gair-prox/FW-ProX-1.7B) | [Data](https://huggingface.co/datasets/gair-prox/FineWeb-pro) | [Code](https://github.com/GAIR-NLP/program-every-example) |
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**FW-ProX-1.7B** is a small language model. It was and trained on the [FineWeb-pro](https://huggingface.co/datasets/gair-prox/FineWeb-pro) for 50B tokens. |
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## Evaluations |
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ProX models are evaluated over 10 language model benchmarks in zero-shot setting. |
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| | ArC-c | ARC-e | CSQA | HellaS | MMLU | OBQA | PiQA | SIQA | WinoG | SciQ | AVG | |
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|-----------------------|-------|-------|-------|-----------|-------|-------|-------|-------|-------|-------|------| |
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| raw | 28.5 | 52.6 | 33.9 | 53.2 | 29.8 | 32.6 | 72.9 | 40.2 | 53.0 | 77.1 | 47.4 | |
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| ours | 34.4 | 63.9 | 32.6 | 53.0 | 33.1 | 34.4 | 73.1 | 39.3 | 52.7 | 81.5 | 49.8 | |
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### Citation |
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``` |
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@misc{TBD |
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} |
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``` |
