Adding Evaluation Results
#14
by
leaderboard-pr-bot
- opened
README.md
CHANGED
@@ -1,13 +1,107 @@
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---
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license: other
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license_name: tongyi-qianwen
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license_link: >-
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https://huggingface.co/Qwen/Qwen1.5-14B-Chat/blob/main/LICENSE
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language:
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- en
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-
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tags:
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- chat
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---
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# Qwen1.5-14B-Chat
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@@ -95,4 +189,17 @@ If you find our work helpful, feel free to give us a cite.
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journal={arXiv preprint arXiv:2309.16609},
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year={2023}
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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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tags:
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- chat
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license_name: tongyi-qianwen
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license_link: https://huggingface.co/Qwen/Qwen1.5-14B-Chat/blob/main/LICENSE
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pipeline_tag: text-generation
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model-index:
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- name: Qwen1.5-14B-Chat
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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: 47.68
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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=Qwen/Qwen1.5-14B-Chat
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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: 32.76
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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=Qwen/Qwen1.5-14B-Chat
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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: 0.0
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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=Qwen/Qwen1.5-14B-Chat
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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: 2.68
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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=Qwen/Qwen1.5-14B-Chat
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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: 13.93
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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=Qwen/Qwen1.5-14B-Chat
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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: 29.09
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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=Qwen/Qwen1.5-14B-Chat
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name: Open LLM Leaderboard
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---
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# Qwen1.5-14B-Chat
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journal={arXiv preprint arXiv:2309.16609},
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year={2023}
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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_Qwen__Qwen1.5-14B-Chat)
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| Metric |Value|
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|-------------------|----:|
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|Avg. |21.02|
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|IFEval (0-Shot) |47.68|
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|BBH (3-Shot) |32.76|
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|MATH Lvl 5 (4-Shot)| 0.00|
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|GPQA (0-shot) | 2.68|
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|MuSR (0-shot) |13.93|
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|MMLU-PRO (5-shot) |29.09|
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