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Adding Evaluation Results (#1)
Browse files- Adding Evaluation Results (a711cb2f080c9a5ca02ca331dc7887424a225e2b)
Co-authored-by: Open LLM Leaderboard PR Bot <[email protected]>
README.md
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---
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license: other
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license_name: qwen
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license_link: https://huggingface.co/Qwen/Qwen2.5-72B-Instruct/blob/main/LICENSE
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datasets:
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- Magpie-Align/Magpie-Qwen2.5-Pro-1M-v0.1
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base_model:
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- Qwen/Qwen2.5-7B-Instruct
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library_name: transformers
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tags:
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- generated_from_trainer
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-
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-
-
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---
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# cybertron-v4-qw7B-UNAMGS
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@@ -124,3 +219,17 @@ The following hyperparameters were used during training:
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year={2024}
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}
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```
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---
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language:
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- en
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license: other
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library_name: transformers
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tags:
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- generated_from_trainer
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base_model:
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- Qwen/Qwen2.5-7B-Instruct
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datasets:
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- Magpie-Align/Magpie-Qwen2.5-Pro-1M-v0.1
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license_name: qwen
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license_link: https://huggingface.co/Qwen/Qwen2.5-72B-Instruct/blob/main/LICENSE
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model-index:
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- name: cybertron-v4-qw7B-UNAMGS
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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: 60.84
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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=fblgit/cybertron-v4-qw7B-UNAMGS
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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: 37.71
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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=fblgit/cybertron-v4-qw7B-UNAMGS
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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: 29.91
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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=fblgit/cybertron-v4-qw7B-UNAMGS
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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: 10.85
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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=fblgit/cybertron-v4-qw7B-UNAMGS
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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: 12.69
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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=fblgit/cybertron-v4-qw7B-UNAMGS
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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: 38.89
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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=fblgit/cybertron-v4-qw7B-UNAMGS
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name: Open LLM Leaderboard
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---
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# cybertron-v4-qw7B-UNAMGS
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year={2024}
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}
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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_fblgit__cybertron-v4-qw7B-UNAMGS)
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| Metric |Value|
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|-------------------|----:|
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|Avg. |31.82|
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|IFEval (0-Shot) |60.84|
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|BBH (3-Shot) |37.71|
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|MATH Lvl 5 (4-Shot)|29.91|
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|GPQA (0-shot) |10.85|
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|MuSR (0-shot) |12.69|
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|MMLU-PRO (5-shot) |38.89|
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