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README.md
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# Evaluation
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We have evaluated
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Our average performance for BigBench-Hard: 0.3753
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So we got 60% of the improvement with 6% of the data!
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## BigBench-Hard Performance
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![OpenOrca Preview1 BigBench-Hard Performance](https://huggingface.co/Open-Orca/
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## AGIEval Performance
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![OpenOrca Preview1 AGIEval Performance](https://huggingface.co/Open-Orca/
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We will report our results on [HuggingFaceH4 Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard) Evals once we receive them.
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year = {2023},
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publisher = {HuggingFace},
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journal = {HuggingFace repository},
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howpublished = {\url{https://https://huggingface.co/Open-Orca/
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}
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```
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```bibtex
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# Evaluation
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We have evaluated OpenOrca-Preview1-13B on hard reasoning tasks from BigBench-Hard and AGIEval as outlined in the Orca paper.
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Our average performance for BigBench-Hard: 0.3753
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So we got 60% of the improvement with 6% of the data!
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## BigBench-Hard Performance
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![OpenOrca Preview1 BigBench-Hard Performance](https://huggingface.co/Open-Orca/OpenOrca-Preview1-13B/resolve/main/OO_Preview1_BigBenchHard.png "BigBench-Hard Performance")
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## AGIEval Performance
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![OpenOrca Preview1 AGIEval Performance](https://huggingface.co/Open-Orca/OpenOrca-Preview1-13B/resolve/main/OO_Preview1_AGIEval.png "AGIEval Performance")
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We will report our results on [HuggingFaceH4 Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard) Evals once we receive them.
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year = {2023},
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publisher = {HuggingFace},
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journal = {HuggingFace repository},
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howpublished = {\url{https://https://huggingface.co/Open-Orca/OpenOrca-Preview1-13B},
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}
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```
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```bibtex
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