open-llm-leaderboard-old/details_OpenBuddy__openbuddy-gemma-7b-v18.1-4k
收藏数据集概述
该数据集是在模型 OpenBuddy/openbuddy-gemma-7b-v18.1-4k 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找到一个特定的分割，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_OpenBuddy__openbuddy-gemma-7b-v18.1-4k", "harness_winogrande_5", split="train")
最新结果
以下是 2024-02-29T23:46:11.976912 运行的最新结果：
python { "all": { "acc": 0.5548065239707762, "acc_stderr": 0.03351823066984081, "acc_norm": 0.5588678095962823, "acc_norm_stderr": 0.034192924314429, "mc1": 0.35006119951040393, "mc1_stderr": 0.01669794942015103, "mc2": 0.5007803478971986, "mc2_stderr": 0.015536651141720032 }, "harness|arc:challenge|25": { "acc": 0.5170648464163823, "acc_stderr": 0.0146028783885366, "acc_norm": 0.5486348122866894, "acc_norm_stderr": 0.01454210456995527 }, "harness|hellaswag|10": { "acc": 0.5706034654451304, "acc_stderr": 0.004939784311448983, "acc_norm": 0.7568213503286197, "acc_norm_stderr": 0.004281253317507337 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.26, "acc_stderr": 0.04408440022768079, "acc_norm": 0.26, "acc_norm_stderr": 0.04408440022768079 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.45185185185185184, "acc_stderr": 0.04299268905480863, "acc_norm": 0.45185185185185184, "acc_norm_stderr": 0.04299268905480863 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.5789473684210527, "acc_stderr": 0.040179012759817494, "acc_norm": 0.5789473684210527, "acc_norm_stderr": 0.040179012759817494 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.61, "acc_stderr": 0.04902071300001975, "acc_norm": 0.61, "acc_norm_stderr": 0.04902071300001975 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.6113207547169811, "acc_stderr": 0.030000485448675986, "acc_norm": 0.6113207547169811, "acc_norm_stderr": 0.030000485448675986 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.6458333333333334, "acc_stderr": 0.039994111357535424, "acc_norm": 0.6458333333333334, "acc_norm_stderr": 0.039994111357535424 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.4, "acc_stderr": 0.04923659639173309, "acc_norm": 0.4, "acc_norm_stderr": 0.04923659639173309 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.45, "acc_stderr": 0.04999999999999999, "acc_norm": 0.45, "acc_norm_stderr": 0.04999999999999999 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.28, "acc_stderr": 0.045126085985421276, "acc_norm": 0.28, "acc_norm_stderr": 0.045126085985421276 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.5491329479768786, "acc_stderr": 0.037940126746970296, "acc_norm": 0.5491329479768786, "acc_norm_stderr": 0.037940126746970296 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.30392156862745096, "acc_stderr": 0.04576665403207763, "acc_norm": 0.30392156862745096, "acc_norm_stderr": 0.04576665403207763 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.7, "acc_stderr": 0.046056618647183814, "acc_norm": 0.7, "acc_norm_stderr": 0.046056618647183814 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.46382978723404256, "acc_stderr": 0.03260038511835771, "acc_norm": 0.46382978723404256, "acc_norm_stderr": 0.03260038511835771 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.38596491228070173, "acc_stderr": 0.045796394220704334, "acc_norm": 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"harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.3694581280788177, "acc_stderr": 0.03395970381998575, "acc_norm": 0.3694581280788177, "acc_norm_stderr": 0.03395970381998575 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.57, "acc_stderr": 0.04975698519562428, "acc_norm": 0.57, "acc_norm_stderr": 0.04975698519562428 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.7393939393939394, "acc_stderr": 0.034277431758165236, "acc_norm": 0.7393939393939394, "acc_norm_stderr": 0.034277431758165236 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.7727272727272727, "acc_stderr": 0.029857515673386414, "acc_norm": 0.7727272727272727, "acc_norm_stderr": 0.029857515673386414 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.8238341968911918, "acc_stderr": 0.02749350424454806, "acc_norm": 0.8238341968911918, "acc_norm_stderr": 0.02749350424454806 }, "harness|hendrycksTest-high_school_macroeconomics|5": { 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"harness|hendrycksTest-prehistory|5": { "acc": 0.6234567901234568, "acc_stderr": 0.02695934451874778, "acc_norm": 0.6234567901234568, "acc_norm_stderr": 0.02695934451874778 }, "harness|hendrycksTest-professional_accounting|5": { "acc": 0.36879432624113473, "acc_stderr": 0.028782227561347243, "acc_norm": 0.36879432624113473, "acc_norm_stderr": 0.028782227561347243 }, "harness|hendrycksTest-professional_law|5": { "acc": 0.3741851368970013, "acc_stderr": 0.012359335618172061, "acc_norm": 0.3741851368970013, "acc_norm_stderr": 0.012359335618172061 }, "harness|hendrycksTest-professional_medicine|5": { "acc": 0.4264705882352941, "acc_stderr": 0.03004261583271487, "acc_norm": 0.4264705882352941, "acc_norm_stderr": 0.03004261583271487 }, "harness|hendrycksTest-professional_psychology|5": { "acc": 0.5375816993464052, "acc_stderr": 0.020170614974969768, "acc_norm": 0.5375816993464052, "acc_norm_stderr": 0.020170614974969768 }, "harness|hendrycksTest-public_relations|5": { "acc": 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