Adding Evaluation Results

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  1. README.md +14 -0
README.md CHANGED
@@ -207,3 +207,17 @@ The 175B model was trained on 992 *80GB A100 GPUs*. The training duration was ro
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  primaryClass={cs.CL}
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  }
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  ```
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  primaryClass={cs.CL}
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  }
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  ```
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+
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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_facebook__opt-6.7b)
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+ | Metric | Value |
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+ |-----------------------|---------------------------|
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+ | Avg. | 34.19 |
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+ | ARC (25-shot) | 39.16 |
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+ | HellaSwag (10-shot) | 68.66 |
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+ | MMLU (5-shot) | 24.57 |
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+ | TruthfulQA (0-shot) | 35.12 |
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+ | Winogrande (5-shot) | 65.98 |
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+ | GSM8K (5-shot) | 0.99 |
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+ | DROP (3-shot) | 4.86 |