Adding Evaluation Results (#5)
Browse files- Adding Evaluation Results (b246b1dfbbdb78f1018169d9e9051a074e7ebcb7)
Co-authored-by: Open LLM Leaderboard PR Bot <[email protected]>
README.md
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@@ -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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---
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# Gemma-Mling: Multilingual Gemma
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@@ -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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| 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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