open-llm-leaderboard-old/details_Felladrin__TinyMistral-248M-SFT-v3

该数据集是在模型 Felladrin/TinyMistral-248M-SFT-v3 在 Open LLM Leaderboard 上的评估运行期间自动创建的。它由 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 次运行创建，每次运行作为每个配置中的一个特定分割，使用运行的时间戳命名。train 分割始终指向最新的结果。一个额外的配置 results 存储了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。

原始信息汇总

数据集概述

数据集摘要

该数据集是在评估模型 Felladrin/TinyMistral-248M-SFT-v3 在 Open LLM Leaderboard 上的运行过程中自动创建的。

数据集组成

• 该数据集包含 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_Felladrin__TinyMistral-248M-SFT-v3", "harness_winogrande_5", split="train")

最新结果

以下是 2024-03-03T13:49:45.268039 运行的最新结果：

python { "all": { "acc": 0.24383979385655258, "acc_stderr": 0.03038500351805996, "acc_norm": 0.24446776002420564, "acc_norm_stderr": 0.031187377048429957, "mc1": 0.24357405140758873, "mc1_stderr": 0.01502635482491078, "mc2": 0.48872658811270636, "mc2_stderr": 0.016406516849122543 }, "harness|arc:challenge|25": { "acc": 0.22184300341296928, "acc_stderr": 0.012141659068147882, "acc_norm": 0.2568259385665529, "acc_norm_stderr": 0.0127669237941168 }, "harness|hellaswag|10": { "acc": 0.25492929695279826, "acc_stderr": 0.004349307702735164, "acc_norm": 0.2531368253335989, "acc_norm_stderr": 0.004339200363454488 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.22, "acc_stderr": 0.041633319989322716, "acc_norm": 0.22, "acc_norm_stderr": 0.041633319989322716 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.18518518518518517, "acc_stderr": 0.03355677216313142, "acc_norm": 0.18518518518518517, "acc_norm_stderr": 0.03355677216313142 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.21052631578947367, "acc_stderr": 0.03317672787533157, "acc_norm": 0.21052631578947367, "acc_norm_stderr": 0.03317672787533157 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.22, "acc_stderr": 0.04163331998932268, "acc_norm": 0.22, "acc_norm_stderr": 0.04163331998932268 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.25660377358490566, "acc_stderr": 0.026880647889051975, "acc_norm": 0.25660377358490566, "acc_norm_stderr": 0.026880647889051975 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.2152777777777778, "acc_stderr": 0.034370793441061365, "acc_norm": 0.2152777777777778, "acc_norm_stderr": 0.034370793441061365 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.2, "acc_stderr": 0.040201512610368445, "acc_norm": 0.2, "acc_norm_stderr": 0.040201512610368445 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.3, "acc_stderr": 0.04605661864718381, "acc_norm": 0.3, "acc_norm_stderr": 0.04605661864718381 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.29, "acc_stderr": 0.04560480215720684, "acc_norm": 0.29, "acc_norm_stderr": 0.04560480215720684 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.19653179190751446, "acc_stderr": 0.030299574664788147, "acc_norm": 0.19653179190751446, "acc_norm_stderr": 0.030299574664788147 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.22549019607843138, "acc_stderr": 0.041583075330832865, "acc_norm": 0.22549019607843138, "acc_norm_stderr": 0.041583075330832865 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.16, "acc_stderr": 0.03684529491774709, "acc_norm": 0.16, "acc_norm_stderr": 0.03684529491774709 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.30638297872340425, "acc_stderr": 0.030135906478517563, "acc_norm": 0.30638297872340425, "acc_norm_stderr": 0.030135906478517563 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.22807017543859648, "acc_stderr": 0.03947152782669415, "acc_norm": 0.22807017543859648, "acc_norm_stderr": 0.03947152782669415 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.23448275862068965, "acc_stderr": 0.035306258743465914, "acc_norm": 0.23448275862068965, "acc_norm_stderr": 0.035306258743465914 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.21957671957671956, "acc_stderr": 0.021320018599770348, "acc_norm": 0.21957671957671956, "acc_norm_stderr": 0.021320018599770348 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.2857142857142857, "acc_stderr": 0.04040610178208841, "acc_norm": 0.2857142857142857, "acc_norm_stderr": 0.04040610178208841 }, "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": 0.26129032258064516, "acc_stderr": 0.024993053397764815, "acc_norm": 0.26129032258064516, "acc_norm_stderr": 0.024993053397764815 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.28078817733990147, "acc_stderr": 0.031618563353586086, "acc_norm": 0.28078817733990147, "acc_norm_stderr": 0.031618563353586086 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.22, "acc_stderr": 0.041633319989322716, "acc_norm": 0.22, "acc_norm_stderr": 0.041633319989322716 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.21818181818181817, "acc_stderr": 0.03225078108306289, "acc_norm": 0.21818181818181817, "acc_norm_stderr": 0.03225078108306289 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.20707070707070707, "acc_stderr": 0.028869778460267052, "acc_norm": 0.20707070707070707, "acc_norm_stderr": 0.028869778460267052 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.23316062176165803, "acc_stderr": 0.03051611137147601, "acc_norm": 0.23316062176165803, "acc_norm_stderr": 0.03051611137147601 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.2, "acc_stderr": 0.020280805062535722, "acc_norm": 0.2, "acc_norm_stderr": 0.020280805062535722 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.26296296296296295, "acc_stderr": 0.02684205787383371, "acc