open-llm-leaderboard-old/details_padeoe__test-Qwen1.5-0.5B
收藏Hugging Face2024-04-21 更新2024-06-22 收录
下载链接:
https://hf-mirror.com/datasets/open-llm-leaderboard-old/details_padeoe__test-Qwen1.5-0.5B
下载链接
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资源简介:
该数据集是在模型[padeoe/test-Qwen1.5-0.5B](https://huggingface.co/padeoe/test-Qwen1.5-0.5B)在[Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)上的评估运行期间自动创建的。数据集由63个配置组成,每个配置对应一个评估任务。数据集是从1次运行中创建的,每次运行都可以在每个配置的特定分割中找到,分割名称使用运行的时间戳命名。"train"分割始终指向最新的结果。此外,一个名为"results"的配置存储了所有运行的聚合结果,并用于计算和显示在Open LLM Leaderboard上的聚合指标。
该数据集是在模型[padeoe/test-Qwen1.5-0.5B](https://huggingface.co/padeoe/test-Qwen1.5-0.5B)在[Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)上的评估运行期间自动创建的。数据集由63个配置组成,每个配置对应一个评估任务。数据集是从1次运行中创建的,每次运行都可以在每个配置的特定分割中找到,分割名称使用运行的时间戳命名。"train"分割始终指向最新的结果。此外,一个名为"results"的配置存储了所有运行的聚合结果,并用于计算和显示在Open LLM Leaderboard上的聚合指标。
提供机构:
open-llm-leaderboard-old
原始信息汇总
数据集概述
数据集名称
- 名称: Evaluation run of padeoe/test-Qwen1.5-0.5B
数据集组成
- 配置数量: 63个配置
- 每个配置对应: 一个评估任务
- 创建来源: 从1次运行中创建
- 分割命名: 使用运行的时间戳命名
- 最新结果: "train"分割指向最新结果
额外配置
- "results"配置: 存储所有聚合结果,用于计算和显示在Open LLM Leaderboard上的聚合指标
数据加载示例
python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_padeoe__test-Qwen1.5-0.5B", "harness_winogrande_5", split="train")
最新结果
- 最新结果来源: 2024-04-21T10:08:05.133533
- 结果示例: python { "all": { "acc": 0.3353828189227776, "acc_stderr": 0.0334007641233363, "acc_norm": 0.33824291776213133, "acc_norm_stderr": 0.03418579209461476, "mc1": 0.2533659730722154, "mc1_stderr": 0.01522589934082683, "mc2": 0.42903360631295284, "mc2_stderr": 0.01511288649548425 }, "harness|arc:challenge|25": { "acc": 0.26621160409556316, "acc_stderr": 0.0129157747815232, "acc_norm": 0.31143344709897613, "acc_norm_stderr": 0.013532472099850949 }, "harness|hellaswag|10": { "acc": 0.3601872137024497, "acc_stderr": 0.004790734683704585, "acc_norm": 0.44124676359290976, "acc_norm_stderr": 0.004955212787832372 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.3, "acc_stderr": 0.046056618647183814, "acc_norm": 0.3, "acc_norm_stderr": 0.046056618647183814 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.28888888888888886, "acc_stderr": 0.0391545063041425, "acc_norm": 0.28888888888888886, "acc_norm_stderr": 0.0391545063041425 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.28289473684210525, "acc_stderr": 0.03665349695640767, "acc_norm": 0.28289473684210525, "acc_norm_stderr": 0.03665349695640767 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.39, "acc_stderr": 0.04902071300001975, "acc_norm": 0.39, "acc_norm_stderr": 0.04902071300001975 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.3622641509433962, "acc_stderr": 0.0295822451283843, "acc_norm": 0.3622641509433962, "acc_norm_stderr": 0.0295822451283843 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.2916666666666667, "acc_stderr": 0.03800968060554858, "acc_norm": 0.2916666666666667, "acc_norm_stderr": 0.03800968060554858 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.34, "acc_stderr": 0.047609522856952365, "acc_norm": 0.34, "acc_norm_stderr": 0.047609522856952365 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.37, "acc_stderr": 0.048523658709391, "acc_norm": 0.37, "acc_norm_stderr": 0.048523658709391 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.34, "acc_stderr": 0.04760952285695235, "acc_norm": 0.34, "acc_norm_stderr": 0.04760952285695235 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.31213872832369943, "acc_stderr": 0.035331333893236574, "acc_norm": 0.31213872832369943, "acc_norm_stderr": 0.035331333893236574 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.2647058823529412, "acc_stderr": 0.043898699568087785, "acc_norm": 0.2647058823529412, "acc_norm_stderr": 0.043898699568087785 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.39, "acc_stderr": 0.04902071300001975, "acc_norm": 0.39, "acc_norm_stderr": 0.04902071300001975 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.251063829787234, "acc_stderr": 0.028346963777162462, "acc_norm": 0.251063829787234, "acc_norm_stderr": 0.028346963777162462 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.21929824561403508, "acc_stderr": 0.03892431106518754, "acc_norm": 0.21929824561403508, "acc_norm_stderr": 0.03892431106518754 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.4482758620689655, "acc_stderr": 0.04144311810878151, "acc_norm": 0.4482758620689655, "acc_norm_stderr": 0.04144311810878151 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.23809523809523808, "acc_stderr": 0.02193587808118476, "acc_norm": 0.23809523809523808, "acc_norm_stderr": 0.02193587808118476 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.2222222222222222, "acc_stderr": 0.037184890068181146, "acc_norm": 0.2222222222222222, "acc_norm_stderr": 0.037184890068181146 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.31, "acc_stderr": 0.04648231987117316, "acc_norm": 0.31, "acc_norm_stderr": 0.04648231987117316 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.2870967741935484, "acc_stderr": 0.02573654274559453, "acc_norm": 0.2870967741935484, "acc_norm_stderr": 0.02573654274559453 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.270935960591133, "acc_stderr": 0.031270907132976984, "acc_norm": 0.270935960591133, "acc_norm_stderr": 0.031270907132976984 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.37, "acc_stderr": 0.04852365870939098, "acc_norm": 0.37, "acc_norm_stderr": 0.04852365870939098 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.47878787878787876, "acc_stderr": 0.03900828913737302, "acc_norm": 0.47878787878787876, "acc_norm_stderr": 0.03900828913737302 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.29292929292929293, "acc_stderr": 0.032424979581788166, "acc_norm": 0.29292929292929293, "acc_norm_stderr": 0.032424979581788166 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.31088082901554404, "acc_stderr": 0.033403619062765844, "acc_norm": 0.31088082901554404, "acc_norm_stderr": 0.033403619062765844 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.24102564102564103, "acc_stderr": 0.02168554666533319, "acc_norm": 0.24102564102564103, "acc_norm_stderr": 0.02168554666533319 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.2518518518518518, "acc_stderr": 0.026466117538959916, "acc_norm": 0.2518518518518518, "acc_norm_stderr": 0.026466117538959916 }, "harness|hendrycksTest-high_school_microeconomics|5": { "acc": 0.31512605042016806, "acc_stderr": 0.03017680828897434, "acc_norm": 0.31512605042016806, "acc_norm_stderr": 0.0301768



