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Adding Evaluation Results (#2)

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- Adding Evaluation Results (cf3bace66b0a21a1222483cba9bf16c19e61a477)


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

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  1. README.md +111 -2
README.md CHANGED
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  ---
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- license: apache-2.0
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  language:
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- - en
 
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  pipeline_tag: text-generation
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  ## Model Card for Fox-1-1.6B
@@ -36,3 +131,17 @@ score of the 6 benchmarks. The model was evaluated on a machine with 8*H100 GPUs
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  | TruthfulQA | 38.66% | 39.37% | 33.05% | 38.77% | 36.98% |
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  | Winogrande | 60.62% | 65.51% | 65.51% | 65.27% | 61.64% |
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  | Average | 47.13% | 46.81% | 46.36% | 45.92% | 38.28% |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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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  pipeline_tag: text-generation
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+ model-index:
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+ - name: Fox-1-1.6B
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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: 27.66
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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=tensoropera/Fox-1-1.6B
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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: 7.4
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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=tensoropera/Fox-1-1.6B
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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: 1.28
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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=tensoropera/Fox-1-1.6B
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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: 1.79
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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=tensoropera/Fox-1-1.6B
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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: 3.87
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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=tensoropera/Fox-1-1.6B
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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: 4.13
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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=tensoropera/Fox-1-1.6B
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+ name: Open LLM Leaderboard
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  ---
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  ## Model Card for Fox-1-1.6B
 
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  | TruthfulQA | 38.66% | 39.37% | 33.05% | 38.77% | 36.98% |
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  | Winogrande | 60.62% | 65.51% | 65.51% | 65.27% | 61.64% |
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  | Average | 47.13% | 46.81% | 46.36% | 45.92% | 38.28% |
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+
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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_tensoropera__Fox-1-1.6B)
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+
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+ | Metric |Value|
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+ |-------------------|----:|
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+ |Avg. | 7.69|
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+ |IFEval (0-Shot) |27.66|
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+ |BBH (3-Shot) | 7.40|
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+ |MATH Lvl 5 (4-Shot)| 1.28|
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+ |GPQA (0-shot) | 1.79|
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+ |MuSR (0-shot) | 3.87|
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+ |MMLU-PRO (5-shot) | 4.13|
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+