Adding Evaluation Results (#1)
Browse files- Adding Evaluation Results (3d302ceb90ea99405072251829290204db9868f5)
Co-authored-by: Open LLM Leaderboard PR Bot <leaderboard-pr-bot@users.noreply.huggingface.co>
README.md
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---
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base_model:
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- v000000/L3.1-8B-RP-Test-003-Task_Arithmetic
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- v000000/L3.1-Niitorm-8B-t0.0001
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- arcee-ai/Llama-Spark
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- v000000/L3.1-8B-RP-Test-002-Task_Arithmetic
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- grimjim/Llama-3-Instruct-abliteration-LoRA-8B
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---
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# Llama-3.1-Storniitova-8B
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@@ -121,3 +216,17 @@ dtype: float16
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---
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library_name: transformers
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tags:
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- mergekit
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- merge
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- llama
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base_model:
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- v000000/L3.1-8B-RP-Test-003-Task_Arithmetic
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- v000000/L3.1-Niitorm-8B-t0.0001
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- arcee-ai/Llama-Spark
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- v000000/L3.1-8B-RP-Test-002-Task_Arithmetic
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- grimjim/Llama-3-Instruct-abliteration-LoRA-8B
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model-index:
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- name: L3.1-Storniitova-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: 78.17
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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=v000000/L3.1-Storniitova-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: 30.81
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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=v000000/L3.1-Storniitova-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: 13.29
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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=v000000/L3.1-Storniitova-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: 5.26
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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=v000000/L3.1-Storniitova-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: 9.96
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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=v000000/L3.1-Storniitova-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: 30.84
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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=v000000/L3.1-Storniitova-8B
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name: Open LLM Leaderboard
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---
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# Llama-3.1-Storniitova-8B
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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_v000000__L3.1-Storniitova-8B)
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| Metric |Value|
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|-------------------|----:|
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|Avg. |28.06|
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|IFEval (0-Shot) |78.17|
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|BBH (3-Shot) |30.81|
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|MATH Lvl 5 (4-Shot)|13.29|
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|GPQA (0-shot) | 5.26|
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|MuSR (0-shot) | 9.96|
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|MMLU-PRO (5-shot) |30.84|
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