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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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## Major updates of weights v1.1
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- Refactor the tokenization and separator. In Vicuna v1.1, the separator has been changed from `"###"` to the EOS token `"</s>"`. This change makes it easier to determine the generation stop criteria and enables better compatibility with other libraries.
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- Fix the supervised fine-tuning loss computation for better model quality.
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## Major updates of weights v1.1
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- Refactor the tokenization and separator. In Vicuna v1.1, the separator has been changed from `"###"` to the EOS token `"</s>"`. This change makes it easier to determine the generation stop criteria and enables better compatibility with other libraries.
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- Fix the supervised fine-tuning loss computation for better model quality.
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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_eachadea__vicuna-13b-1.1)
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| Metric | Value |
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|-----------------------|---------------------------|
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| Avg. | 47.0 |
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| ARC (25-shot) | 52.73 |
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| HellaSwag (10-shot) | 80.13 |
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| MMLU (5-shot) | 51.94 |
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| TruthfulQA (0-shot) | 52.08 |
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| Winogrande (5-shot) | 74.19 |
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| GSM8K (5-shot) | 8.64 |
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| DROP (3-shot) | 9.31 |
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