open-llm-leaderboard-old/details_nnethercott__llava-v1.5-7b-hf-vicuna

该数据集是在Open LLM Leaderboard上对模型nnethercott/llava-v1.5-7b-hf-vicuna进行评估时自动生成的。数据集由63个配置组成，每个配置对应一个被评估的任务。它包含一次或多次运行的结果，每次运行都作为一个特定的分割存储，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，还有一个results配置，用于汇总所有运行的结果，并用于计算和显示Open LLM Leaderboard上的汇总指标。README还提供了一个Python代码片段，用于加载运行中的数据集详细信息。

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 nnethercott/llava-v1.5-7b-hf-vicuna 在 Open LLM Leaderboard 上的自动创建的。数据集由 63 个配置组成，每个配置对应一个评估任务。

数据集结构

数据集由 1 次运行创建，每个运行可以在每个配置中找到特定的分片，分片名称使用运行的时间戳。"train" 分片始终指向最新的结果。

额外配置

一个额外的配置 "results" 存储所有运行的聚合结果，用于计算和显示在 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_nnethercott__llava-v1.5-7b-hf-vicuna", "harness_winogrande_5", split="train")

最新结果

以下是 最新结果从运行 2024-02-23T22:56:58.109084 的摘要：

python { "all": { "acc": 0.5145109813550153, "acc_stderr": 0.03407762208548462, "acc_norm": 0.5211185331079348, "acc_norm_stderr": 0.03483915715750226, "mc1": 0.3023255813953488, "mc1_stderr": 0.016077509266133026, "mc2": 0.45861084561836213, "mc2_stderr": 0.01545760404502721 }, "harness|arc:challenge|25": { "acc": 0.48208191126279865, "acc_stderr": 0.014602005585490976, "acc_norm": 0.5264505119453925, "acc_norm_stderr": 0.014590931358120169 }, "harness|hellaswag|10": { "acc": 0.5707030472017527, "acc_stderr": 0.004939642460172578, "acc_norm": 0.7609042023501295, "acc_norm_stderr": 0.004256596457810718 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.34, "acc_stderr": 0.04760952285695236, "acc_norm": 0.34, "acc_norm_stderr": 0.04760952285695236 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.5037037037037037, "acc_stderr": 0.04319223625811331, "acc_norm": 0.5037037037037037, "acc_norm_stderr": 0.04319223625811331 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.5197368421052632, "acc_stderr": 0.040657710025626036, "acc_norm": 0.5197368421052632, "acc_norm_stderr": 0.040657710025626036 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.55, "acc_stderr": 0.049999999999999996, "acc_norm": 0.55, "acc_norm_stderr": 0.049999999999999996 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.5320754716981132, "acc_stderr": 0.030709486992556545, "acc_norm": 0.5320754716981132, "acc_norm_stderr": 0.030709486992556545 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.5555555555555556, "acc_stderr": 0.04155319955593146, "acc_norm": 0.5555555555555556, "acc_norm_stderr": 0.04155319955593146 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.37, "acc_stderr": 0.048523658709391, "acc_norm": 0.37, "acc_norm_stderr": 0.048523658709391 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.41, "acc_stderr": 0.04943110704237102, "acc_norm": 0.41, "acc_norm_stderr": 0.04943110704237102 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.41, "acc_stderr": 0.049431107042371025, "acc_norm": 0.41, "acc_norm_stderr": 0.049431107042371025 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.4913294797687861, "acc_stderr": 0.03811890988940412, "acc_norm": 0.4913294797687861, "acc_norm_stderr": 0.03811890988940412 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.16666666666666666, "acc_stderr": 0.03708284662416544, "acc_norm": 0.16666666666666666, "acc_norm_stderr": 0.03708284662416544 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.66, "acc_stderr": 0.04760952285695237, "acc_norm": 0.66, "acc_norm_stderr": 0.04760952285695237 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.43829787234042555, "acc_stderr": 0.03243618636108102, "acc_norm": 0.43829787234042555, "acc_norm_stderr": 0.03243618636108102 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.2807017543859649, "acc_stderr": 0.042270544512322, "acc_norm": 0.2807017543859649, "acc_norm_stderr": 0.042270544512322 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.42758620689655175, "acc_stderr": 0.041227371113703316, "acc_norm": 0.42758620689655175, "acc_norm_stderr": 0.041227371113703316 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.2857142857142857, "acc_stderr": 0.02326651221373057, "acc_norm": 0.2857142857142857, "acc_norm_stderr": 0.02326651221373057 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.2857142857142857, "acc_stderr": 0.040406101782088394, "acc_norm": 0.2857142857142857, "acc_norm_stderr": 0.040406101782088394 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.34, "acc_stderr": 0.047609522856952365, "acc_norm": 0.34, "acc_norm_stderr": 0.047609522856952365 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.5645161290322581, "acc_stderr": 0.028206225591502748, "acc_norm": 0.5645161290322581, "acc_norm_stderr": 0.028206225591502748 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.3793103448275862, "acc_stderr": 0.034139638059062345, "acc_norm": 0.3793103448275862, "acc_norm_stderr": 0.034139638059062345 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.49, "acc_stderr": 0.05024183937956912, "acc_norm": 0.49, "acc_norm_stderr": 0.05024183937956912 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.6848484848484848, "acc_stderr": 0.0362773057502241, "acc_norm": 0.6848484848484848, "acc_norm_stderr": 0.0362773057502241 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.5808080808080808, "acc_stderr": 0.03515520728670417, "acc_norm": 0.5808080808080808, "acc_norm_stderr": 0.03515520728670417 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.7305699481865285, "acc_stderr": 0.03201867122877794, "acc_norm": 0.7305699481865285, "acc_norm_stderr": 0.03201867122877794 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.4794871794871795, "acc_stderr": 0.02532966316348994, "acc_norm": 0.4794871794871795, "acc_norm_stderr": 0.02532966316348994 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.24814814814814815, "acc_stderr": 0.0263357394040558, "acc_norm": 0.2