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Adding Evaluation Results (#5)

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- Adding Evaluation Results (52026696902197c3cc2c946435e99eec4587a1c3)


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

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  1. README.md +112 -4
README.md CHANGED
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  ---
 
 
 
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  datasets:
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  - Locutusque/TM-DATA-V2
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  - LLM360/TxT360
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  - Skylion007/openwebtext
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  - JeanKaddour/minipile
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  - eminorhan/gutenberg_en
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- language:
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- - en
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- license: apache-2.0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  still in training. Trained on about ~21 billion tokens so far.
@@ -133,4 +228,17 @@ still in training. Trained on about ~21 billion tokens so far.
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  | Groups |Version|Filter|n-shot| Metric | |Value | |Stderr|
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  |------------|------:|------|------|--------|---|-----:|---|-----:|
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- |agieval_nous| 0|none | |acc_norm|↑ |0.2133|± |0.0081|
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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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  datasets:
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  - Locutusque/TM-DATA-V2
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  - LLM360/TxT360
 
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  - Skylion007/openwebtext
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  - JeanKaddour/minipile
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  - eminorhan/gutenberg_en
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+ model-index:
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+ - name: TinyMistral-248M-v3
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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: 16.39
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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=M4-ai/TinyMistral-248M-v3
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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: 1.78
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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=M4-ai/TinyMistral-248M-v3
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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: 0.0
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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=M4-ai/TinyMistral-248M-v3
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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=M4-ai/TinyMistral-248M-v3
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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: 5.15
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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=M4-ai/TinyMistral-248M-v3
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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: 1.47
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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=M4-ai/TinyMistral-248M-v3
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+ name: Open LLM Leaderboard
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  ---
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  still in training. Trained on about ~21 billion tokens so far.
 
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  | Groups |Version|Filter|n-shot| Metric | |Value | |Stderr|
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  |------------|------:|------|------|--------|---|-----:|---|-----:|
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+ |agieval_nous| 0|none | |acc_norm|↑ |0.2133|± |0.0081|
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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_M4-ai__TinyMistral-248M-v3)
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+
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+ | Metric |Value|
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+ |-------------------|----:|
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+ |Avg. | 4.13|
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+ |IFEval (0-Shot) |16.39|
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+ |BBH (3-Shot) | 1.78|
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+ |MATH Lvl 5 (4-Shot)| 0.00|
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+ |GPQA (0-shot) | 0.00|
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+ |MuSR (0-shot) | 5.15|
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+ |MMLU-PRO (5-shot) | 1.47|
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+