open-llm-leaderboard-old/details_allenai__OLMo-1.7-7B-hf

该数据集是自动生成的，用于评估模型allenai/OLMo-1.7-7B-hf在Open LLM Leaderboard上的性能。数据集包含63个配置，每个配置对应一个评估任务。数据集由2次运行创建，每次运行对应一个特定的分割，分割名称使用运行的时间戳命名。此外，还有一个名为results的配置，用于存储所有运行的聚合结果，以便计算和显示Leaderboard上的聚合指标。

原始信息汇总

数据集概述

数据集摘要

该数据集是在对模型 allenai/OLMo-1.7-7B-hf 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，每个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_allenai__OLMo-1.7-7B-hf", "harness_winogrande_5", split="train")

最新结果

这些是最新的结果，来自 2024-04-23T04:38:27.071305 的运行： python { "all": { "acc": 0.5324148897111916, "acc_stderr": 0.03424304858885876, "acc_norm": 0.5374605825809906, "acc_norm_stderr": 0.03497214059803048, "mc1": 0.23990208078335373, "mc1_stderr": 0.014948812679062133, "mc2": 0.35914870070090654, "mc2_stderr": 0.013474578990798841 }, "harness|arc:challenge|25": { "acc": 0.46501706484641636, "acc_stderr": 0.014575583922019663, "acc_norm": 0.49402730375426623, "acc_norm_stderr": 0.01461034830025579 }, "harness|hellaswag|10": { "acc": 0.5888269269069907, "acc_stderr": 0.004910409150135491, "acc_norm": 0.7864967138020315, "acc_norm_stderr": 0.004089425065807198 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.35, "acc_stderr": 0.047937248544110196, "acc_norm": 0.35, "acc_norm_stderr": 0.047937248544110196 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.48148148148148145, "acc_stderr": 0.04316378599511324, "acc_norm": 0.48148148148148145, "acc_norm_stderr": 0.04316378599511324 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.5131578947368421, "acc_stderr": 0.04067533136309173, "acc_norm": 0.5131578947368421, "acc_norm_stderr": 0.04067533136309173 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.59, "acc_stderr": 0.04943110704237102, "acc_norm": 0.59, "acc_norm_stderr": 0.04943110704237102 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.5773584905660377, "acc_stderr": 0.030402331445769544, "acc_norm": 0.5773584905660377, "acc_norm_stderr": 0.030402331445769544 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.5347222222222222, "acc_stderr": 0.04171115858181618, "acc_norm": 0.5347222222222222, "acc_norm_stderr": 0.04171115858181618 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.42, "acc_stderr": 0.049604496374885836, "acc_norm": 0.42, "acc_norm_stderr": 0.049604496374885836 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.48, "acc_stderr": 0.050211673156867795, "acc_norm": 0.48, "acc_norm_stderr": 0.050211673156867795 }, "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": 0.5086705202312138, "acc_stderr": 0.03811890988940412, "acc_norm": 0.5086705202312138, "acc_norm_stderr": 0.03811890988940412 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.30392156862745096, "acc_stderr": 0.04576665403207762, "acc_norm": 0.30392156862745096, "acc_norm_stderr": 0.04576665403207762 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.62, "acc_stderr": 0.048783173121456316, "acc_norm": 0.62, "acc_norm_stderr": 0.048783173121456316 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.42127659574468085, "acc_stderr": 0.03227834510146268, "acc_norm": 0.42127659574468085, "acc_norm_stderr": 0.03227834510146268 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.35964912280701755, "acc_stderr": 0.04514496132873633, "acc_norm": 0.35964912280701755, "acc_norm_stderr": 0.04514496132873633 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.496551724137931, "acc_stderr": 0.041665675771015785, "acc_norm": 0.496551724137931, "acc_norm_stderr": 0.041665675771015785 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.2962962962962963, "acc_stderr": 0.02351729433596328, "acc_norm": 0.2962962962962963, "acc_norm_stderr": 0.02351729433596328 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.25396825396825395, "acc_stderr": 0.03893259610604675, "acc_norm": 0.25396825396825395, "acc_norm_stderr": 0.03893259610604675 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.36, "acc_stderr": 0.048241815132442176, "acc_norm": 0.36, "acc_norm_stderr": 0.048241815132442176 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.6548387096774193, "acc_stderr": 0.027045746573534323, "acc_norm": 0.6548387096774193, "acc_norm_stderr": 0.027045746573534323 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.4236453201970443, "acc_stderr": 0.034767257476490364, "acc_norm": 0.4236453201970443, "acc_norm_stderr": 0.034767257476490364 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.56, "acc_stderr": 0.04988876515698589, "acc_norm": 0.56, "acc_norm_stderr": 0.04988876515698589 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.6787878787878788, "acc_stderr": 0.036462049632538115, "acc_norm": 0.6787878787878788, "acc_norm_stderr": 0.036462049632538115 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.7272727272727273, "acc_stderr": 0.03173071239071724, "acc_norm": 0.7272727272727273, "acc_norm_stderr": 0.03173071239071724 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.7409326424870466, "acc_stderr": 0.031618779179354115, "acc_norm": 0.7409326424870466, "acc_norm_stderr": 0.031618779179354115 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.5256410256410257, "acc_stderr": 0.02531764972644866, "acc_norm": 0.5256410256410257, "acc_norm_stderr": 0.02531764972644866 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.32222222222222224, "acc_stderr": 0.0284934650910286, "acc_norm": 0.32222222222222224, "acc_norm_stderr": 0.0284934650910286 }, "harness|hendrycksTest-high_school_microeconomics|5": { "acc": 0.5546218487394958, "acc