Text Generation
Transformers
PyTorch
Safetensors
xglm
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Adding Evaluation Results

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This 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

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  1. README.md +14 -1
README.md CHANGED
@@ -134,4 +134,17 @@ for lang in data_samples_long:
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  # zh-1 0 0
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  # hi-0 1 1
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  # hi-1 0 0
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- ```
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  # zh-1 0 0
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  # hi-0 1 1
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  # hi-1 0 0
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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__xglm-4.5B)
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+
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+ | Metric | Value |
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+ |-----------------------|---------------------------|
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+ | Avg. | 31.05 |
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+ | ARC (25-shot) | 31.48 |
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+ | HellaSwag (10-shot) | 57.95 |
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+ | MMLU (5-shot) | 25.43 |
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+ | TruthfulQA (0-shot) | 35.84 |
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+ | Winogrande (5-shot) | 54.93 |
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+ | GSM8K (5-shot) | 0.23 |
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+ | DROP (3-shot) | 11.48 |