Adding Evaluation Results
#1
by
leaderboard-pr-bot
- opened
README.md
CHANGED
@@ -5,6 +5,101 @@ base_model:
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- SanjiWatsuki/Kunoichi-7B
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- uukuguy/speechless-instruct-mistral-7b-v0.2
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base_model_relation: merge
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---
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Test merge of 7b models for learning purposees. v0.2 is mostly the same, with minor promting changes and consolidating shards from 1B to 4B to reduce number of files.
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@@ -20,4 +115,17 @@ Alpaca: Below is an instruction that describes a task. Write a response that app
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Instruction:
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{prompt}
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-
Response:
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- SanjiWatsuki/Kunoichi-7B
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- uukuguy/speechless-instruct-mistral-7b-v0.2
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base_model_relation: merge
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model-index:
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- name: Inf-Silent-Kunoichi-v0.2-2x7B
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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: 36.36
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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=Jacoby746/Inf-Silent-Kunoichi-v0.2-2x7B
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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: 32.26
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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=Jacoby746/Inf-Silent-Kunoichi-v0.2-2x7B
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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: 5.66
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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=Jacoby746/Inf-Silent-Kunoichi-v0.2-2x7B
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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: 6.71
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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=Jacoby746/Inf-Silent-Kunoichi-v0.2-2x7B
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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: 13.26
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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=Jacoby746/Inf-Silent-Kunoichi-v0.2-2x7B
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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: 25.25
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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=Jacoby746/Inf-Silent-Kunoichi-v0.2-2x7B
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name: Open LLM Leaderboard
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---
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Test merge of 7b models for learning purposees. v0.2 is mostly the same, with minor promting changes and consolidating shards from 1B to 4B to reduce number of files.
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Instruction:
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{prompt}
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Response:
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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_Jacoby746__Inf-Silent-Kunoichi-v0.2-2x7B)
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| Metric |Value|
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|-------------------|----:|
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|Avg. |19.92|
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|IFEval (0-Shot) |36.36|
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|BBH (3-Shot) |32.26|
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|MATH Lvl 5 (4-Shot)| 5.66|
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|GPQA (0-shot) | 6.71|
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|MuSR (0-shot) |13.26|
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|MMLU-PRO (5-shot) |25.25|
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