PyTorch
Safetensors
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gpt-neox
gpt_neox
causal-lm
pythia
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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

Files changed (1) hide show
  1. README.md +14 -1
README.md CHANGED
@@ -277,4 +277,17 @@ current naming convention (70M, 160M, etc.) is based on total parameter count.
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  | 2.8B | 2.7B | 2,775,208,960 | 2,517,652,480 |
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  | 6.9B | 6.7B | 6,857,302,016 | 6,444,163,072 |
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  | 12B | 13B | 11,846,072,320 | 11,327,027,200 |
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- </figure>
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  | 2.8B | 2.7B | 2,775,208,960 | 2,517,652,480 |
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  | 6.9B | 6.7B | 6,857,302,016 | 6,444,163,072 |
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  | 12B | 13B | 11,846,072,320 | 11,327,027,200 |
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+ </figure>
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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_EleutherAI__pythia-70m)
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+
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+ | Metric | Value |
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+ |-----------------------|---------------------------|
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+ | Avg. | 25.28 |
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+ | ARC (25-shot) | 21.59 |
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+ | HellaSwag (10-shot) | 27.29 |
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+ | MMLU (5-shot) | 25.9 |
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+ | TruthfulQA (0-shot) | 47.06 |
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+ | Winogrande (5-shot) | 51.46 |
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+ | GSM8K (5-shot) | 0.3 |
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+ | DROP (3-shot) | 3.33 |