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Adding Evaluation Results (#2)
Browse files- Adding Evaluation Results (53b0d90691352b6cb78716e67d78bf2b0c02629d)
Co-authored-by: Open LLM Leaderboard PR Bot <[email protected]>
README.md
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---
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-
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- mistralai/Mistral-7B-Instruct-v0.2
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library_name: transformers
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tags:
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- mergekit
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- merge
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-
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---
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# bigstral-12b-32k
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- layer_range: [24, 32]
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model: mistralai/Mistral-7B-Instruct-v0.2
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-
```
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---
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license: apache-2.0
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library_name: transformers
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tags:
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- mergekit
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- merge
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base_model:
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- mistralai/Mistral-7B-Instruct-v0.2
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model-index:
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- name: bigstral-12b-32k
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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: 41.94
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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=abacusai/bigstral-12b-32k
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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: 25.56
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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=abacusai/bigstral-12b-32k
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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: 0.98
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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=abacusai/bigstral-12b-32k
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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: 5.7
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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=abacusai/bigstral-12b-32k
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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: 15.86
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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=abacusai/bigstral-12b-32k
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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: 18.24
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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=abacusai/bigstral-12b-32k
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name: Open LLM Leaderboard
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---
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# bigstral-12b-32k
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- layer_range: [24, 32]
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model: mistralai/Mistral-7B-Instruct-v0.2
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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_abacusai__bigstral-12b-32k)
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| Metric |Value|
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|-------------------|----:|
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|Avg. |18.05|
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|IFEval (0-Shot) |41.94|
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|BBH (3-Shot) |25.56|
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|MATH Lvl 5 (4-Shot)| 0.98|
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|GPQA (0-shot) | 5.70|
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|MuSR (0-shot) |15.86|
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|MMLU-PRO (5-shot) |18.24|
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