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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
@@ -50,4 +50,17 @@ model.to(device)
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  generated_ids = model.generate(model_inputs, max_new_tokens=1000, do_sample=True)
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  decoded = tokenizer.batch_decode(generated_ids)
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  print(decoded[0])
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- ```
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  generated_ids = model.generate(model_inputs, max_new_tokens=1000, do_sample=True)
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  decoded = tokenizer.batch_decode(generated_ids)
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  print(decoded[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_maywell__koOpenChat-sft)
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+
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+ | Metric | Value |
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+ |-----------------------|---------------------------|
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+ | Avg. | 51.36 |
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+ | ARC (25-shot) | 59.81 |
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+ | HellaSwag (10-shot) | 78.73 |
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+ | MMLU (5-shot) | 61.32 |
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+ | TruthfulQA (0-shot) | 51.24 |
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+ | Winogrande (5-shot) | 76.4 |
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+ | GSM8K (5-shot) | 24.18 |
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+ | DROP (3-shot) | 7.82 |