Adding Evaluation Results
#1
by
bamec66557
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README.md
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---
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-
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- bamec66557/mergekit-model_stock-zdaysvi
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- bamec66557/MISCHIEVOUS-12B-Mix_0.4v
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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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# merge
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@@ -70,4 +165,17 @@ postprocessing:
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kernel_size: 5 # Smoothing larger ranges with increased kernel size
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- operation: normalize # Normalise after merge
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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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- bamec66557/mergekit-model_stock-zdaysvi
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- bamec66557/MISCHIEVOUS-12B-Mix_0.4v
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model-index:
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- name: VICIOUS_MESH-12B-ALPHA
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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: 63.65
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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=bamec66557/VICIOUS_MESH-12B-ALPHA
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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: 30.51
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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=bamec66557/VICIOUS_MESH-12B-ALPHA
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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: 11.25
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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=bamec66557/VICIOUS_MESH-12B-ALPHA
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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: 8.5
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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=bamec66557/VICIOUS_MESH-12B-ALPHA
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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: 12.44
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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=bamec66557/VICIOUS_MESH-12B-ALPHA
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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: 29.96
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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=bamec66557/VICIOUS_MESH-12B-ALPHA
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name: Open LLM Leaderboard
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---
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# merge
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kernel_size: 5 # Smoothing larger ranges with increased kernel size
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- operation: normalize # Normalise after merge
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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/bamec66557__VICIOUS_MESH-12B-ALPHA-details)
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| Metric |Value|
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|-------------------|----:|
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|Avg. |26.05|
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|IFEval (0-Shot) |63.65|
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|BBH (3-Shot) |30.51|
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|MATH Lvl 5 (4-Shot)|11.25|
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|GPQA (0-shot) | 8.50|
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|MuSR (0-shot) |12.44|
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|MMLU-PRO (5-shot) |29.96|
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