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Adding Evaluation Results
Browse filesThis is an automated PR created with https://huggingface.co/spaces/Weyaxi/open-llm-leaderboard-results-pr
The purpose of this PR is to add evaluation results from the Open LLM Leaderboard to your model card.
If you encounter any issues, please report them to https://huggingface.co/spaces/Weyaxi/open-llm-leaderboard-results-pr/discussions
README.md
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@@ -19,4 +19,17 @@ We initiailized training with pythia-1.3b weights, a precursor to the [pythia-1.
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Detailed evaluations coming soon :)
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**Note**: Commit `3bcdc4e` replaced the weights with a model trained on proof-pile v1.1, as opposed to previous commits which were trained on v1.0. Commit `9695b51` updated the tokenizer to have bos, eos, and unk tokens.
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Detailed evaluations coming soon :)
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**Note**: Commit `3bcdc4e` replaced the weights with a model trained on proof-pile v1.1, as opposed to previous commits which were trained on v1.0. Commit `9695b51` updated the tokenizer to have bos, eos, and unk tokens.
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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_hoskinson-center__proofGPT-v0.1)
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| Metric | Value |
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|-----------------------|---------------------------|
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| Avg. | 25.99 |
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| ARC (25-shot) | 22.87 |
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| HellaSwag (10-shot) | 28.66 |
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| MMLU (5-shot) | 25.96 |
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| TruthfulQA (0-shot) | 51.64 |
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| Winogrande (5-shot) | 50.43 |
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| GSM8K (5-shot) | 0.08 |
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| DROP (3-shot) | 2.29 |
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