open-llm-leaderboard-old/details_aloobun__Synch-Qwen1.5-1.8B

该数据集是在模型[aloobun/Synch-Qwen1.5-1.8B](https://huggingface.co/aloobun/Synch-Qwen1.5-1.8B)在[Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)上评估过程中自动创建的。数据集由63个配置组成，每个配置对应一个被评估的任务。数据集由2次运行生成，每次运行的结果存储为特定配置中的一个分割，分割名称使用运行的时间戳。"train"分割始终指向最新的结果。此外，还有一个名为"results"的配置存储了所有运行的聚合结果，用于在Open LLM Leaderboard上计算和显示聚合指标。

原始信息汇总

数据集概述

该数据集是在对模型 aloobun/Synch-Qwen1.5-1.8B 进行评估运行期间自动创建的，用于 Open LLM Leaderboard。

数据集组成

• 数据集包含 63 个配置，每个配置对应一个评估任务。
• 数据集从 2 次运行中创建，每次运行可以在每个配置中找到特定的分割，分割名称使用运行的时间戳。
• "train" 分割始终指向最新的结果。
• 一个额外的配置 "results" 存储所有运行的聚合结果，用于计算和显示 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_aloobun__Synch-Qwen1.5-1.8B", "harness_winogrande_5", split="train")

最新结果

以下是 2024-03-22T20:14:51.646868 运行的最新结果：

python { "all": { "acc": 0.44731280280831115, "acc_stderr": 0.03442875263084712, "acc_norm": 0.44943841295273806, "acc_norm_stderr": 0.03514556906718136, "mc1": 0.2582619339045288, "mc1_stderr": 0.015321821688476196, "mc2": 0.4143669782380921, "mc2_stderr": 0.013963345006309792 }, "harness|arc:challenge|25": { "acc": 0.3412969283276451, "acc_stderr": 0.013855831287497714, "acc_norm": 0.36945392491467577, "acc_norm_stderr": 0.014104578366491911 }, "harness|hellaswag|10": { "acc": 0.4471220872336188, "acc_stderr": 0.004961799358836432, "acc_norm": 0.6018721370244972, "acc_norm_stderr": 0.00488511646555027 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.32, "acc_stderr": 0.046882617226215034, "acc_norm": 0.32, "acc_norm_stderr": 0.046882617226215034 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.3925925925925926, "acc_stderr": 0.04218506215368879, "acc_norm": 0.3925925925925926, "acc_norm_stderr": 0.04218506215368879 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.4407894736842105, "acc_stderr": 0.04040311062490436, "acc_norm": 0.4407894736842105, "acc_norm_stderr": 0.04040311062490436 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.53, "acc_stderr": 0.050161355804659205, "acc_norm": 0.53, "acc_norm_stderr": 0.050161355804659205 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.4679245283018868, "acc_stderr": 0.03070948699255655, "acc_norm": 0.4679245283018868, "acc_norm_stderr": 0.03070948699255655 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.4027777777777778, "acc_stderr": 0.04101405519842425, "acc_norm": 0.4027777777777778, "acc_norm_stderr": 0.04101405519842425 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.32, "acc_stderr": 0.046882617226215034, "acc_norm": 0.32, "acc_norm_stderr": 0.046882617226215034 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.4, "acc_stderr": 0.04923659639173309, "acc_norm": 0.4, "acc_norm_stderr": 0.04923659639173309 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.35, "acc_stderr": 0.04793724854411019, "acc_norm": 0.35, "acc_norm_stderr": 0.04793724854411019 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.4277456647398844, "acc_stderr": 0.037724468575180255, "acc_norm": 0.4277456647398844, "acc_norm_stderr": 0.037724468575180255 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.21568627450980393, "acc_stderr": 0.04092563958237655, "acc_norm": 0.21568627450980393, "acc_norm_stderr": 0.04092563958237655 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.58, "acc_stderr": 0.049604496374885836, "acc_norm": 0.58, "acc_norm_stderr": 0.049604496374885836 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.425531914893617, "acc_stderr": 0.03232146916224469, "acc_norm": 0.425531914893617, "acc_norm_stderr": 0.03232146916224469 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.2543859649122807, "acc_stderr": 0.040969851398436716, "acc_norm": 0.2543859649122807, "acc_norm_stderr": 0.040969851398436716 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.46206896551724136, "acc_stderr": 0.041546596717075474, "acc_norm": 0.46206896551724136, "acc_norm_stderr": 0.041546596717075474 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.335978835978836, "acc_stderr": 0.024326310529149128, "acc_norm": 0.335978835978836, "acc_norm_stderr": 0.024326310529149128 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.23015873015873015, "acc_stderr": 0.03764950879790605, "acc_norm": 0.23015873015873015, "acc_norm_stderr": 0.03764950879790605 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.33, "acc_stderr": 0.04725815626252604, "acc_norm": 0.33, "acc_norm_stderr": 0.04725815626252604 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.4645161290322581, "acc_stderr": 0.028372287797962956, "acc_norm": 0.4645161290322581, "acc_norm_stderr": 0.028372287797962956 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.3448275862068966, "acc_stderr": 0.033442837442804574, "acc_norm": 0.3448275862068966, "acc_norm_stderr": 0.033442837442804574 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.46, "acc_stderr": 0.05009082659620333, "acc_norm": 0.46, "acc_norm_stderr": 0.05009082659620333 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.6121212121212121, "acc_stderr": 0.03804913653971012, "acc_norm": 0.6121212121212121, "acc_norm_stderr": 0.03804913653971012 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.5606060606060606, "acc_stderr": 0.035360859475294805, "acc_norm": 0.5606060606060606, "acc_norm_stderr": 0.035360859475294805 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.5440414507772021, "acc_stderr": 0.035944137112724366, "acc_norm": 0.5440414507772021, "acc_norm_stderr": 0.035944137112724366 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.3435897435897436, "acc_stderr": 0.024078696580635474, "acc_norm": 0.3435897435897436, "acc_norm_stderr": 0.024078696580635474 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.3148148148148148, "acc_stderr": 0.02831753349606647, "acc_norm": 0.3148148148148148, "acc_norm_stderr": 0.0