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Adding Evaluation Results (#1)

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- Adding Evaluation Results (96e66e5717a12527162350b0fc45b5086a920a7f)


Co-authored-by: Open LLM Leaderboard PR Bot <[email protected]>

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  1. README.md +116 -8
README.md CHANGED
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  ---
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- base_model:
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- - yuvraj17/Llama-3-8B-spectrum-25
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- - ruggsea/Llama3-stanford-encyclopedia-philosophy-QA
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- - arcee-ai/Llama-3.1-SuperNova-Lite
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  tags:
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  - merge
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  - mergekit
@@ -10,10 +9,106 @@ tags:
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  - yuvraj17/Llama-3-8B-spectrum-25
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  - ruggsea/Llama3-stanford-encyclopedia-philosophy-QA
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  - arcee-ai/Llama-3.1-SuperNova-Lite
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- license: apache-2.0
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- language:
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- - en
 
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  pipeline_tag: text-generation
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # Llama3-8B-SuperNova-Spectrum-dare_ties
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  ## Special thanks & Reference
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  - Maxime Labonne for their easy-to-use colab-notebook [Merging LLMs with MergeKit](https://github.com/mlabonne/llm-course/blob/main/Mergekit.ipynb), [Blog](https://towardsdatascience.com/merge-large-language-models-with-mergekit-2118fb392b54) and [LLM-AutoEva Notebookl](https://github.com/mlabonne/llm-autoeval)
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- - Authors of [Mergekit](https://github.com/arcee-ai/mergekit)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ language:
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+ - en
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+ license: apache-2.0
 
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  tags:
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  - merge
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  - mergekit
 
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  - yuvraj17/Llama-3-8B-spectrum-25
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  - ruggsea/Llama3-stanford-encyclopedia-philosophy-QA
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  - arcee-ai/Llama-3.1-SuperNova-Lite
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+ base_model:
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+ - yuvraj17/Llama-3-8B-spectrum-25
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+ - ruggsea/Llama3-stanford-encyclopedia-philosophy-QA
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+ - arcee-ai/Llama-3.1-SuperNova-Lite
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  pipeline_tag: text-generation
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+ model-index:
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+ - name: Llama3-8B-SuperNova-Spectrum-dare_ties
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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: 40.13
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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=yuvraj17/Llama3-8B-SuperNova-Spectrum-dare_ties
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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: 23.49
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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=yuvraj17/Llama3-8B-SuperNova-Spectrum-dare_ties
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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: 7.4
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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=yuvraj17/Llama3-8B-SuperNova-Spectrum-dare_ties
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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: 3.36
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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=yuvraj17/Llama3-8B-SuperNova-Spectrum-dare_ties
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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: 11.0
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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=yuvraj17/Llama3-8B-SuperNova-Spectrum-dare_ties
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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: 28.6
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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=yuvraj17/Llama3-8B-SuperNova-Spectrum-dare_ties
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+ name: Open LLM Leaderboard
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  ---
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  # Llama3-8B-SuperNova-Spectrum-dare_ties
 
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  ## Special thanks & Reference
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  - Maxime Labonne for their easy-to-use colab-notebook [Merging LLMs with MergeKit](https://github.com/mlabonne/llm-course/blob/main/Mergekit.ipynb), [Blog](https://towardsdatascience.com/merge-large-language-models-with-mergekit-2118fb392b54) and [LLM-AutoEva Notebookl](https://github.com/mlabonne/llm-autoeval)
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+ - Authors of [Mergekit](https://github.com/arcee-ai/mergekit)
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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_yuvraj17__Llama3-8B-SuperNova-Spectrum-dare_ties)
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+
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+ | Metric |Value|
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+ |-------------------|----:|
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+ |Avg. |19.00|
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+ |IFEval (0-Shot) |40.13|
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+ |BBH (3-Shot) |23.49|
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+ |MATH Lvl 5 (4-Shot)| 7.40|
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+ |GPQA (0-shot) | 3.36|
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+ |MuSR (0-shot) |11.00|
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+ |MMLU-PRO (5-shot) |28.60|
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+