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Adding Evaluation Results (#5)

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- Adding Evaluation Results (b246b1dfbbdb78f1018169d9e9051a074e7ebcb7)


Co-authored-by: Open LLM Leaderboard PR Bot <leaderboard-pr-bot@users.noreply.huggingface.co>

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  1. README.md +111 -3
README.md CHANGED
@@ -6,11 +6,106 @@ language:
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  - ja
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  license: other
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  library_name: transformers
 
 
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  license_name: gemma-terms-of-use
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  license_link: https://ai.google.dev/gemma/terms
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  pipeline_tag: text-generation
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- tags:
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- - pytorch
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # Gemma-Mling: Multilingual Gemma
@@ -273,4 +368,17 @@ Risks identified and mitigations:
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  ## Acknowledgement
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- The training is supported by [TPU Research Cloud](https://sites.research.google/trc/) program.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - ja
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  license: other
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  library_name: transformers
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+ tags:
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+ - pytorch
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  license_name: gemma-terms-of-use
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  license_link: https://ai.google.dev/gemma/terms
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  pipeline_tag: text-generation
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+ model-index:
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+ - name: gemma-mling-7b
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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: 20.29
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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=beomi/gemma-mling-7b
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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: 17.63
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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=beomi/gemma-mling-7b
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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: 4.15
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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=beomi/gemma-mling-7b
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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: 0.0
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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=beomi/gemma-mling-7b
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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: 6.85
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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=beomi/gemma-mling-7b
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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: 18.14
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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=beomi/gemma-mling-7b
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+ name: Open LLM Leaderboard
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  ---
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  # Gemma-Mling: Multilingual Gemma
 
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  ## Acknowledgement
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+ The training is supported by [TPU Research Cloud](https://sites.research.google/trc/) program.
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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_beomi__gemma-mling-7b)
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+
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+ | Metric |Value|
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+ |-------------------|----:|
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+ |Avg. |11.18|
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+ |IFEval (0-Shot) |20.29|
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+ |BBH (3-Shot) |17.63|
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+ |MATH Lvl 5 (4-Shot)| 4.15|
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+ |GPQA (0-shot) | 0.00|
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+ |MuSR (0-shot) | 6.85|
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+ |MMLU-PRO (5-shot) |18.14|
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+