open-llm-leaderboard-old/details_BarraHome__PequeLLaMa-1B-Instruct-v0.1-16bit

该数据集是在模型BarraHome/PequeLLaMa-1B-Instruct-v0.1-16bit在Open LLM Leaderboard上进行评估时自动创建的。数据集由63个配置组成，每个配置对应一个评估任务。数据集从1次运行中创建，每次运行可以在每个配置中找到，运行的时间戳作为分割名称。train分割始终指向最新的结果。此外，results配置存储了所有运行的聚合结果，并用于计算和显示Open LLM Leaderboard上的聚合指标。

原始信息汇总

数据集概述

数据集简介

该数据集是在模型 BarraHome/PequeLLaMa-1B-Instruct-v0.1-16bit 在 Open LLM Leaderboard 上的评估运行期间自动创建的。

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 1 次运行中创建。每个运行可以在每个配置中作为一个特定的分割找到，分割名称使用运行的时间戳。
• "train" 分割始终指向最新的结果。
• 额外的 "results" 配置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_BarraHome__PequeLLaMa-1B-Instruct-v0.1-16bit", "harness_winogrande_5", split="train")

最新结果

以下是 2024-02-15T22:30:35.769938 运行 的最新结果：

python { "all": { "acc": 0.24925356596098744, "acc_stderr": 0.03049039803240805, "acc_norm": 0.250967942400928, "acc_norm_stderr": 0.0312990053733219, "mc1": 0.22031823745410037, "mc1_stderr": 0.014509045171487295, "mc2": 0.41096447978752615, "mc2_stderr": 0.014916925934314724 }, "harness|arc:challenge|25": { "acc": 0.24658703071672355, "acc_stderr": 0.01259572626879012, "acc_norm": 0.27986348122866894, "acc_norm_stderr": 0.013119040897725922 }, "harness|hellaswag|10": { "acc": 0.333698466440948, "acc_stderr": 0.0047056977452221435, "acc_norm": 0.4302927703644692, "acc_norm_stderr": 0.004941051795214789 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.23, "acc_stderr": 0.04229525846816508, "acc_norm": 0.23, "acc_norm_stderr": 0.04229525846816508 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.2, "acc_stderr": 0.03455473702325437, "acc_norm": 0.2, "acc_norm_stderr": 0.03455473702325437 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.17763157894736842, "acc_stderr": 0.031103182383123384, "acc_norm": 0.17763157894736842, "acc_norm_stderr": 0.031103182383123384 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.28, "acc_stderr": 0.04512608598542127, "acc_norm": 0.28, "acc_norm_stderr": 0.04512608598542127 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.21132075471698114, "acc_stderr": 0.025125766484827845, "acc_norm": 0.21132075471698114, "acc_norm_stderr": 0.025125766484827845 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.2569444444444444, "acc_stderr": 0.03653946969442099, "acc_norm": 0.2569444444444444, "acc_norm_stderr": 0.03653946969442099 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.2, "acc_stderr": 0.04020151261036846, "acc_norm": 0.2, "acc_norm_stderr": 0.04020151261036846 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.35, "acc_stderr": 0.04793724854411019, "acc_norm": 0.35, "acc_norm_stderr": 0.04793724854411019 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.28, "acc_stderr": 0.04512608598542128, "acc_norm": 0.28, "acc_norm_stderr": 0.04512608598542128 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.20809248554913296, "acc_stderr": 0.030952890217749884, "acc_norm": 0.20809248554913296, "acc_norm_stderr": 0.030952890217749884 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.21568627450980393, "acc_stderr": 0.04092563958237654, "acc_norm": 0.21568627450980393, "acc_norm_stderr": 0.04092563958237654 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.29, "acc_stderr": 0.045604802157206845, "acc_norm": 0.29, "acc_norm_stderr": 0.045604802157206845 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.2425531914893617, "acc_stderr": 0.028020226271200217, "acc_norm": 0.2425531914893617, "acc_norm_stderr": 0.028020226271200217 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.2894736842105263, "acc_stderr": 0.04266339443159394, "acc_norm": 0.2894736842105263, "acc_norm_stderr": 0.04266339443159394 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.1724137931034483, "acc_stderr": 0.03147830790259575, "acc_norm": 0.1724137931034483, "acc_norm_stderr": 0.03147830790259575 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.21428571428571427, "acc_stderr": 0.02113285918275444, "acc_norm": 0.21428571428571427, "acc_norm_stderr": 0.02113285918275444 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.25396825396825395, "acc_stderr": 0.03893259610604673, "acc_norm": 0.25396825396825395, "acc_norm_stderr": 0.03893259610604673 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.18, "acc_stderr": 0.038612291966536934, "acc_norm": 0.18, "acc_norm_stderr": 0.038612291966536934 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.16129032258064516, "acc_stderr": 0.020923327006423305, "acc_norm": 0.16129032258064516, "acc_norm_stderr": 0.020923327006423305 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.1477832512315271, "acc_stderr": 0.02496962133352127, "acc_norm": 0.1477832512315271, "acc_norm_stderr": 0.02496962133352127 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.29, "acc_stderr": 0.045604802157206845, "acc_norm": 0.29, "acc_norm_stderr": 0.045604802157206845 }, "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": 0.17676767676767677, "acc_stderr": 0.027178752639044915, "acc_norm": 0.17676767676767677, "acc_norm_stderr": 0.027178752639044915 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.24352331606217617, "acc_stderr": 0.03097543638684542, "acc_norm": 0.24352331606217617, "acc_norm_stderr": 0.03097543638684542 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.24615384615384617, "acc_stderr": 0.021840866990423088, "acc_norm": 0.24615384615384617, "acc_norm_stderr": 0.021840866990423088 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.2814814814814815, "acc_stderr": 0.0274200193509452