Text Generation
Transformers
PyTorch
English
gpt2
feature-extraction
causal-lm
text-generation-inference
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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
@@ -180,4 +180,17 @@ Cerebras-GPT models have not been tuned for human-facing dialog applications lik
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  ## Acknowledgements
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- We are thankful to all Cerebras engineers, past and present, that made this work possible.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ## Acknowledgements
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+ We are thankful to all Cerebras engineers, past and present, that made this work possible.
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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_cerebras__Cerebras-GPT-13B)
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+
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+ | Metric | Value |
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+ |-----------------------|---------------------------|
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+ | Avg. | 32.68 |
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+ | ARC (25-shot) | 38.14 |
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+ | HellaSwag (10-shot) | 60.01 |
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+ | MMLU (5-shot) | 25.92 |
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+ | TruthfulQA (0-shot) | 39.19 |
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+ | Winogrande (5-shot) | 59.83 |
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+ | GSM8K (5-shot) | 1.29 |
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+ | DROP (3-shot) | 4.39 |