open-llm-leaderboard-old/details_sreeramajay__TinyLlama-1.1B-orca-v1.0

该数据集是在模型sreeramajay/TinyLlama-1.1B-orca-v1.0在Open LLM Leaderboard上进行评估时自动生成的。数据集包含63个配置，每个配置对应一个被评估的任务。数据集由2次运行生成，每次运行在每个配置中作为一个特定的分割，分割名称由运行的时间戳命名。train分割始终指向最新的结果。此外，一个名为results的配置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。README还提供了如何使用Python中的datasets库加载数据集的示例，并包含了特定运行的最新结果。

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 sreeramajay/TinyLlama-1.1B-orca-v1.0 在 Open LLM Leaderboard 上的自动创建的。

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_sreeramajay__TinyLlama-1.1B-orca-v1.0", "harness_winogrande_5", split="train")

最新结果

以下是 最新结果来自 run 2024-01-08T02:53:34.794924： python { "all": { "acc": 0.25886592240119943, "acc_stderr": 0.030852834645833542, "acc_norm": 0.2598219974756462, "acc_norm_stderr": 0.03159832550179831, "mc1": 0.22888616891064872, "mc1_stderr": 0.014706994909055027, "mc2": 0.3657842399449893, "mc2_stderr": 0.013644177619439266 }, "harness|arc:challenge|25": { "acc": 0.3438566552901024, "acc_stderr": 0.013880644570156211, "acc_norm": 0.363481228668942, "acc_norm_stderr": 0.014056207319068283 }, "harness|hellaswag|10": { "acc": 0.45648277235610435, "acc_stderr": 0.004970846697552306, "acc_norm": 0.6123282214698267, "acc_norm_stderr": 0.004862232790041579 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.24, "acc_stderr": 0.04292346959909284, "acc_norm": 0.24, "acc_norm_stderr": 0.04292346959909284 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.18518518518518517, "acc_stderr": 0.033556772163131424, "acc_norm": 0.18518518518518517, "acc_norm_stderr": 0.033556772163131424 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.17763157894736842, "acc_stderr": 0.031103182383123387, "acc_norm": 0.17763157894736842, "acc_norm_stderr": 0.031103182383123387 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.27, "acc_stderr": 0.04461960433384741, "acc_norm": 0.27, "acc_norm_stderr": 0.04461960433384741 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.27169811320754716, "acc_stderr": 0.027377706624670713, "acc_norm": 0.27169811320754716, "acc_norm_stderr": 0.027377706624670713 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.22916666666666666, "acc_stderr": 0.03514697467862388, "acc_norm": 0.22916666666666666, "acc_norm_stderr": 0.03514697467862388 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.27, "acc_stderr": 0.0446196043338474, "acc_norm": 0.27, "acc_norm_stderr": 0.0446196043338474 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.26, "acc_stderr": 0.0440844002276808, "acc_norm": 0.26, "acc_norm_stderr": 0.0440844002276808 }, "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": 0.1907514450867052, "acc_stderr": 0.02995785132986934, "acc_norm": 0.1907514450867052, "acc_norm_stderr": 0.02995785132986934 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.19607843137254902, "acc_stderr": 0.03950581861179961, "acc_norm": 0.19607843137254902, "acc_norm_stderr": 0.03950581861179961 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.26, "acc_stderr": 0.04408440022768079, "acc_norm": 0.26, "acc_norm_stderr": 0.04408440022768079 }, "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": 0.22807017543859648, "acc_stderr": 0.03947152782669415, "acc_norm": 0.22807017543859648, "acc_norm_stderr": 0.03947152782669415 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.25517241379310346, "acc_stderr": 0.03632984052707841, "acc_norm": 0.25517241379310346, "acc_norm_stderr": 0.03632984052707841 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.2751322751322751, "acc_stderr": 0.023000086859068642, "acc_norm": 0.2751322751322751, "acc_norm_stderr": 0.023000086859068642 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.19047619047619047, "acc_stderr": 0.03512207412302054, "acc_norm": 0.19047619047619047, "acc_norm_stderr": 0.03512207412302054 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.27, "acc_stderr": 0.044619604333847394, "acc_norm": 0.27, "acc_norm_stderr": 0.044619604333847394 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.23870967741935484, "acc_stderr": 0.024251071262208834, "acc_norm": 0.23870967741935484, "acc_norm_stderr": 0.024251071262208834 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.23645320197044334, "acc_stderr": 0.029896114291733552, "acc_norm": 0.23645320197044334, "acc_norm_stderr": 0.029896114291733552 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.22, "acc_stderr": 0.041633319989322695, "acc_norm": 0.22, "acc_norm_stderr": 0.041633319989322695 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.296969696969697, "acc_stderr": 0.03567969772268047, "acc_norm": 0.296969696969697, "acc_norm_stderr": 0.03567969772268047 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.21212121212121213, "acc_stderr": 0.02912652283458682, "acc_norm": 0.21212121212121213, "acc_norm_stderr": 0.02912652283458682 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.24352331606217617, "acc_stderr": 0.030975436386845447, "acc_norm": 0.24352331606217617, "acc_norm_stderr": 0.030975436386845447 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.258974358974359, "acc_stderr": 0.02221110681006167, "acc_norm": 0.258974358974359, "acc_norm_stderr": 0.02221110681006167 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.24444444444444444, "acc_stderr": 0