Adding Evaluation Results (#9)
Browse files- Adding Evaluation Results (7cfe380365e7b3d7e2c4d6bea23e5083fc62da9f)
Co-authored-by: Andy Nonymous <[email protected]>
    	
        README.md
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            tags:
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            - llama-3.1
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            - conversational
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            - mergekit
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            - finetuning
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            - axolotl
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            ---
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            ## Support Our Work
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            With 3 team-members spanned across 3 different time-zones, we have won [NeurIPS LLM Efficiency Challenge 2023](https://llm-efficiency-challenge.github.io/) and 4 other competitions in Finance and Arabic LLM space. We have also published [SOTA mathematical reasoning model](https://huggingface.co/akjindal53244/Arithmo-Mistral-7B).
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            **Llama-3.1-Storm-8B** is our most valuable contribution so far towards the open-source community. We are committed in developing efficient generalist LLMs. **We're seeking both computational resources and innovative collaborators to drive this initiative forward.**
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            license: llama3.1
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            library_name: transformers
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            tags:
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            - llama-3.1
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            - conversational
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            - mergekit
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            - finetuning
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            - axolotl
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            pipeline_tag: text-generation
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            model-index:
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            - name: Llama-3.1-Storm-8B
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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: 80.51
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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=akjindal53244/Llama-3.1-Storm-8B
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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: 31.49
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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=akjindal53244/Llama-3.1-Storm-8B
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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: 16.62
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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=akjindal53244/Llama-3.1-Storm-8B
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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: 10.18
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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=akjindal53244/Llama-3.1-Storm-8B
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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: 9.12
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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=akjindal53244/Llama-3.1-Storm-8B
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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: 31.15
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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=akjindal53244/Llama-3.1-Storm-8B
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                  name: Open LLM Leaderboard
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            ---
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            ## Support Our Work
         | 
| 455 | 
             
            With 3 team-members spanned across 3 different time-zones, we have won [NeurIPS LLM Efficiency Challenge 2023](https://llm-efficiency-challenge.github.io/) and 4 other competitions in Finance and Arabic LLM space. We have also published [SOTA mathematical reasoning model](https://huggingface.co/akjindal53244/Arithmo-Mistral-7B).
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            +
            **Llama-3.1-Storm-8B** is our most valuable contribution so far towards the open-source community. We are committed in developing efficient generalist LLMs. **We're seeking both computational resources and innovative collaborators to drive this initiative forward.**
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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/akjindal53244__Llama-3.1-Storm-8B-details)
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            |      Metric       |Value|
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            |-------------------|----:|
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            |Avg.               |29.84|
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            |IFEval (0-Shot)    |80.51|
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            |BBH (3-Shot)       |31.49|
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            |MATH Lvl 5 (4-Shot)|16.62|
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            |GPQA (0-shot)      |10.18|
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            |MuSR (0-shot)      | 9.12|
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            |MMLU-PRO (5-shot)  |31.15|
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             | 

