open-llm-leaderboard-old/details_Mihaiii__dolphin-2.6-mistral-7b-dpo-5.93B

该数据集是在Open LLM Leaderboard上对模型Mihaiii/dolphin-2.6-mistral-7b-dpo-5.93B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。数据来自一次运行，每次运行在每个配置中表示为特定的分割，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，还有一个results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文件还提供了加载数据集的Python代码片段，并列出了特定运行的最新结果。

原始信息汇总

数据集概述

数据集简介

该数据集是在评估模型 Mihaiii/dolphin-2.6-mistral-7b-dpo-5.93B 的过程中自动创建的，用于 Open LLM Leaderboard 的评估。

数据集结构

• 配置数量：63个配置，每个配置对应一个评估任务。
• 数据来源：数据集从1次运行中创建，每个运行在每个配置中作为一个特定的分割存在，分割名称使用运行的时间戳。
• 最新结果："train" 分割总是指向最新的结果。
• 结果汇总：一个额外的配置 "results" 存储所有运行的汇总结果，用于计算和显示 Open LLM Leaderboard 上的汇总指标。

数据加载示例

python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_Mihaiii__dolphin-2.6-mistral-7b-dpo-5.93B", "harness_winogrande_5", split="train")

最新结果

以下是 2024-02-29T23:39:50.457825 运行的最新结果：

python { "all": { "acc": 0.2787882344251881, "acc_stderr": 0.03159583298843307, "acc_norm": 0.2808463538110389, "acc_norm_stderr": 0.032417699387269676, "mc1": 0.34516523867809057, "mc1_stderr": 0.01664310331927494, "mc2": 0.5350613699912699, "mc2_stderr": 0.015713472335590086 }, "harness|arc:challenge|25": { "acc": 0.3506825938566553, "acc_stderr": 0.013944635930726087, "acc_norm": 0.38993174061433444, "acc_norm_stderr": 0.014252959848892887 }, "harness|hellaswag|10": { "acc": 0.4565823541127266, "acc_stderr": 0.0049709334202319285, "acc_norm": 0.6101374228241386, "acc_norm_stderr": 0.004867221634461264 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.29, "acc_stderr": 0.045604802157206845, "acc_norm": 0.29, "acc_norm_stderr": 0.045604802157206845 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.3333333333333333, "acc_stderr": 0.04072314811876837, "acc_norm": 0.3333333333333333, "acc_norm_stderr": 0.04072314811876837 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.3355263157894737, "acc_stderr": 0.038424985593952674, "acc_norm": 0.3355263157894737, "acc_norm_stderr": 0.038424985593952674 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.23, "acc_stderr": 0.04229525846816506, "acc_norm": 0.23, "acc_norm_stderr": 0.04229525846816506 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.25660377358490566, "acc_stderr": 0.026880647889051982, "acc_norm": 0.25660377358490566, "acc_norm_stderr": 0.026880647889051982 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.2847222222222222, "acc_stderr": 0.03773809990686935, "acc_norm": 0.2847222222222222, "acc_norm_stderr": 0.03773809990686935 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.19, "acc_stderr": 0.039427724440366234, "acc_norm": 0.19, "acc_norm_stderr": 0.039427724440366234 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.3, "acc_stderr": 0.046056618647183814, "acc_norm": 0.3, "acc_norm_stderr": 0.046056618647183814 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.25, "acc_stderr": 0.04351941398892446, "acc_norm": 0.25, "acc_norm_stderr": 0.04351941398892446 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.2543352601156069, "acc_stderr": 0.0332055644308557, "acc_norm": 0.2543352601156069, "acc_norm_stderr": 0.0332055644308557 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.20588235294117646, "acc_stderr": 0.04023382273617747, "acc_norm": 0.20588235294117646, "acc_norm_stderr": 0.04023382273617747 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.33, "acc_stderr": 0.04725815626252605, "acc_norm": 0.33, "acc_norm_stderr": 0.04725815626252605 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.23404255319148937, "acc_stderr": 0.027678452578212387, "acc_norm": 0.23404255319148937, "acc_norm_stderr": 0.027678452578212387 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.2631578947368421, "acc_stderr": 0.04142439719489361, "acc_norm": 0.2631578947368421, "acc_norm_stderr": 0.04142439719489361 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.296551724137931, "acc_stderr": 0.038061426873099935, "acc_norm": 0.296551724137931, "acc_norm_stderr": 0.038061426873099935 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.2671957671957672, "acc_stderr": 0.02278967314577656, "acc_norm": 0.2671957671957672, "acc_norm_stderr": 0.02278967314577656 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.15873015873015872, "acc_stderr": 0.032684540130117436, "acc_norm": 0.15873015873015872, "acc_norm_stderr": 0.032684540130117436 }, "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": 0.2709677419354839, "acc_stderr": 0.025284416114900156, "acc_norm": 0.2709677419354839, "acc_norm_stderr": 0.025284416114900156 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.30049261083743845, "acc_stderr": 0.03225799476233483, "acc_norm": 0.30049261083743845, "acc_norm_stderr": 0.03225799476233483 }, "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": 0.2545454545454545, "acc_stderr": 0.0340150671524904, "acc_norm": 0.2545454545454545, "acc_norm_stderr": 0.0340150671524904 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.25757575757575757, "acc_stderr": 0.03115626951964683, "acc_norm": 0.25757575757575757, "acc_norm_stderr": 0.03115626951964683 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.24352331606217617, "acc_stderr": 0.030975436386845426, "acc_norm": 0.24352331606217617, "acc_norm_stderr": 0.030975436386845426 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.2282051282051282, "acc_stderr": 0.02127839386358628, "acc_norm": 0.2282051282051282, "acc_norm_stderr": 0.02127839386358628 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.25