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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 -0
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@@ -76,3 +76,17 @@ python finetune.py \
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  ```
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  You can find how the training went from W&B report [here](https://wandb.ai/chansung18/gpt4_alpaca_lora/runs/w3syd157?workspace=user-chansung18).
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ```
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  You can find how the training went from W&B report [here](https://wandb.ai/chansung18/gpt4_alpaca_lora/runs/w3syd157?workspace=user-chansung18).
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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_TheBloke__gpt4-alpaca-lora-30b-HF)
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+ | Metric | Value |
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+ |-----------------------|---------------------------|
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+ | Avg. | 51.93 |
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+ | ARC (25-shot) | 64.85 |
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+ | HellaSwag (10-shot) | 85.72 |
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+ | MMLU (5-shot) | 58.51 |
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+ | TruthfulQA (0-shot) | 52.24 |
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+ | Winogrande (5-shot) | 80.19 |
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+ | GSM8K (5-shot) | 15.54 |
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+ | DROP (3-shot) | 6.44 |