Adding Evaluation Results
Browse filesThis 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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            ---
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            license: other
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            ---
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            This contains the weights for the LLaMA-65b model. This model is under a non-commercial license (see the LICENSE file).
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            You should only use this repository if you have been granted access to the model by filling out [this form](https://docs.google.com/forms/d/e/1FAIpQLSfqNECQnMkycAp2jP4Z9TFX0cGR4uf7b_fBxjY_OjhJILlKGA/viewform?usp=send_form) but either lost your copy of the weights or got some trouble converting them to the Transformers format.
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            ---
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            license: other
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            model-index:
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            - name: llama-65b
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              results:
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              - task:
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                  type: text-generation
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                  name: Text Generation
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                dataset:
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                  name: IFEval (0-Shot)
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                  type: HuggingFaceH4/ifeval
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                  args:
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                    num_few_shot: 0
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                metrics:
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                - type: inst_level_strict_acc and prompt_level_strict_acc
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                  value: 25.26
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                  name: strict accuracy
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                source:
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                  url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=huggyllama/llama-65b
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                  name: Open LLM Leaderboard
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              - task:
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                  type: text-generation
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                  name: Text Generation
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                dataset:
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                  name: BBH (3-Shot)
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                  type: BBH
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                  args:
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                    num_few_shot: 3
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                metrics:
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                - type: acc_norm
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                  value: 25.25
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                  name: normalized accuracy
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                source:
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                  url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=huggyllama/llama-65b
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                  name: Open LLM Leaderboard
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              - task:
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                  type: text-generation
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                  name: Text Generation
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                dataset:
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                  name: MATH Lvl 5 (4-Shot)
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                  type: hendrycks/competition_math
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                  args:
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                    num_few_shot: 4
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                metrics:
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                - type: exact_match
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                  value: 2.19
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                  name: exact match
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                source:
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                  url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=huggyllama/llama-65b
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                  name: Open LLM Leaderboard
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              - task:
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                  type: text-generation
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                  name: Text Generation
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                dataset:
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                  name: GPQA (0-shot)
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                  type: Idavidrein/gpqa
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                  args:
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                    num_few_shot: 0
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                metrics:
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                - type: acc_norm
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                  value: 3.47
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                  name: acc_norm
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                source:
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                  url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=huggyllama/llama-65b
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                  name: Open LLM Leaderboard
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              - task:
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                  type: text-generation
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                  name: Text Generation
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                dataset:
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                  name: MuSR (0-shot)
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                  type: TAUR-Lab/MuSR
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                  args:
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                    num_few_shot: 0
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                metrics:
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                - type: acc_norm
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                  value: 1.97
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                  name: acc_norm
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                source:
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                  url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=huggyllama/llama-65b
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                  name: Open LLM Leaderboard
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              - task:
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                  type: text-generation
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                  name: Text Generation
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                dataset:
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                  name: MMLU-PRO (5-shot)
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                  type: TIGER-Lab/MMLU-Pro
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                  config: main
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                  split: test
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                  args:
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                    num_few_shot: 5
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                metrics:
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                - type: acc
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                  value: 23.08
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                  name: accuracy
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                source:
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                  url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=huggyllama/llama-65b
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                  name: Open LLM Leaderboard
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            ---
         | 
| 99 |  | 
| 100 | 
             
            This contains the weights for the LLaMA-65b model. This model is under a non-commercial license (see the LICENSE file).
         | 
| 101 | 
             
            You should only use this repository if you have been granted access to the model by filling out [this form](https://docs.google.com/forms/d/e/1FAIpQLSfqNECQnMkycAp2jP4Z9TFX0cGR4uf7b_fBxjY_OjhJILlKGA/viewform?usp=send_form) but either lost your copy of the weights or got some trouble converting them to the Transformers format.
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            +
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            # [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
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            Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_huggyllama__llama-65b)
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            |      Metric       |Value|
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            |-------------------|----:|
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            |Avg.               |13.54|
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            |IFEval (0-Shot)    |25.26|
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            |BBH (3-Shot)       |25.25|
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            |MATH Lvl 5 (4-Shot)| 2.19|
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            |GPQA (0-shot)      | 3.47|
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            |MuSR (0-shot)      | 1.97|
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            |MMLU-PRO (5-shot)  |23.08|
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