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Adding Evaluation Results (#1)

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- Adding Evaluation Results (aa67ceef8c40f0ef131612237d7ff853e18e791e)


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

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  1. README.md +110 -2
README.md CHANGED
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  ---
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- base_model: meta-llama/Meta-Llama-3-8B-Instruct
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  license: llama3
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  tags:
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  - axolotl
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  - dpo
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  - trl
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  - generated_from_trainer
 
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  datasets:
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  - HumanLLMs/humanish-dpo-project
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -141,4 +236,17 @@ The following hyperparameters were used during training:
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  - Transformers 4.45.1
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  - Pytorch 2.3.1+cu121
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  - Datasets 2.21.0
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- - Tokenizers 0.20.0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
 
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  license: llama3
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  tags:
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  - axolotl
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  - dpo
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  - trl
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  - generated_from_trainer
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+ base_model: meta-llama/Meta-Llama-3-8B-Instruct
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  datasets:
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  - HumanLLMs/humanish-dpo-project
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+ model-index:
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+ - name: Humanish-LLama3.1-8B-Instruct
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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: 64.98
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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=HumanLLMs/Humanish-LLama3.1-8B-Instruct
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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: 28.01
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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=HumanLLMs/Humanish-LLama3.1-8B-Instruct
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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: 8.46
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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=HumanLLMs/Humanish-LLama3.1-8B-Instruct
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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: 0.78
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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=HumanLLMs/Humanish-LLama3.1-8B-Instruct
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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: 2.0
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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=HumanLLMs/Humanish-LLama3.1-8B-Instruct
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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: 30.02
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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=HumanLLMs/Humanish-LLama3.1-8B-Instruct
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+ name: Open LLM Leaderboard
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  - Transformers 4.45.1
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  - Pytorch 2.3.1+cu121
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  - Datasets 2.21.0
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+ - Tokenizers 0.20.0
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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_HumanLLMs__Humanish-LLama3.1-8B-Instruct)
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+
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+ | Metric |Value|
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+ |-------------------|----:|
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+ |Avg. |22.38|
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+ |IFEval (0-Shot) |64.98|
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+ |BBH (3-Shot) |28.01|
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+ |MATH Lvl 5 (4-Shot)| 8.46|
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+ |GPQA (0-shot) | 0.78|
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+ |MuSR (0-shot) | 2.00|
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+ |MMLU-PRO (5-shot) |30.02|
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+