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Adding Evaluation Results (#2)
Browse files- Adding Evaluation Results (9a5292aee29e88e29eaab697cbeeedd813243c5b)
Co-authored-by: Open LLM Leaderboard PR Bot <leaderboard-pr-bot@users.noreply.huggingface.co>
README.md
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@@ -68,3 +68,17 @@ model = AutoModelForCausalLM.from_pretrained("lgaalves/gpt2-dolly")
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You can use the raw model for text generation or fine-tune it to a downstream task. The model was not extensively tested and may produce false information. It contains a lot of unfiltered content from the internet, which is far from neutral.
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You can use the raw model for text generation or fine-tune it to a downstream task. The model was not extensively tested and may produce false information. It contains a lot of unfiltered content from the internet, which is far from neutral.
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# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
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Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_lgaalves__gpt2-dolly)
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| Metric | Value |
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|-----------------------|---------------------------|
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| Avg. | 25.53 |
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| ARC (25-shot) | 22.7 |
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| HellaSwag (10-shot) | 30.15 |
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| MMLU (5-shot) | 25.81 |
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| TruthfulQA (0-shot) | 44.97 |
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| Winogrande (5-shot) | 51.46 |
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| GSM8K (5-shot) | 0.15 |
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| DROP (3-shot) | 3.45 |
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