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ProX models are evaluated over 10 language model benchmarks in zero-shot setting.
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### Citation
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```
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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 | HellaSwag | MMLU | OBQA | PiQA | SIQA | WinoG | SciQ | AVG |
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| 0.3B on Original Data | 22.6% | 41.9% | 29.7% | 32.8% | 26.2% | 26.4% | 62.2% | 39.3% | 51.3% | 63.3% | 39.6 |
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| RedPJ-ProX-0.3B | 25.9% | 47.5% | 29.2% | 36.7% | 28.1% | 30.2% | 64.6% | 38.0% | 51.7% | 71.4% | 42.3 |
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### Citation
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```
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