open-llm-leaderboard/details_huggyllama__llama-7b

该数据集是在评估模型huggyllama/llama-7b时自动创建的，评估过程在Open LLM Leaderboard上进行。数据集由121个配置组成，每个配置对应一个评估任务。数据集由4次运行生成，每次运行的结果作为特定配置中的一个分割，分割名称使用运行的时间戳命名。train分割始终指向最新的结果。此外，还有一个名为results的配置，存储了所有运行的聚合结果，并用于计算和显示Open LLM Leaderboard上的聚合指标。

原始信息汇总

数据集概述

数据集摘要

数据集是在评估模型 huggyllama/llama-7b 在 Open LLM Leaderboard 上的运行过程中自动创建的。

数据集组成

• 数据集包含 121 个配置，每个配置对应一个评估任务。
• 数据集由 4 次运行创建，每次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_huggyllama__llama-7b", "harness_winogrande_5", split="train")

最新结果

这些是最新结果，来自 2023-12-04T17:40:08.047341 运行： python { "all": { "acc": 0.3638062313864483, "acc_stderr": 0.03380549659651447, "acc_norm": 0.36665596869333805, "acc_norm_stderr": 0.03459622436501482, "mc1": 0.2215422276621787, "mc1_stderr": 0.014537867601301137, "mc2": 0.3432793294414406, "mc2_stderr": 0.01318846106276968 }, "harness|arc:challenge|25": { "acc": 0.47696245733788395, "acc_stderr": 0.014595873205358267, "acc_norm": 0.5093856655290102, "acc_norm_stderr": 0.014608816322065 }, "harness|hellaswag|10": { "acc": 0.5753833897629954, "acc_stderr": 0.004932745013072713, "acc_norm": 0.7781318462457678, "acc_norm_stderr": 0.004146537488135709 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.26, "acc_stderr": 0.04408440022768081, "acc_norm": 0.26, "acc_norm_stderr": 0.04408440022768081 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.3851851851851852, "acc_stderr": 0.042039210401562783, "acc_norm": 0.3851851851851852, "acc_norm_stderr": 0.042039210401562783 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.34210526315789475, "acc_stderr": 0.03860731599316092, "acc_norm": 0.34210526315789475, "acc_norm_stderr": 0.03860731599316092 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.41, "acc_stderr": 0.049431107042371025, "acc_norm": 0.41, "acc_norm_stderr": 0.049431107042371025 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.35471698113207545, "acc_stderr": 0.02944517532819959, "acc_norm": 0.35471698113207545, "acc_norm_stderr": 0.02944517532819959 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.375, "acc_stderr": 0.04048439222695598, "acc_norm": 0.375, "acc_norm_stderr": 0.04048439222695598 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.3, "acc_stderr": 0.046056618647183814, "acc_norm": 0.3, "acc_norm_stderr": 0.046056618647183814 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.31, "acc_stderr": 0.04648231987117316, "acc_norm": 0.31, "acc_norm_stderr": 0.04648231987117316 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.33, "acc_stderr": 0.04725815626252604, "acc_norm": 0.33, "acc_norm_stderr": 0.04725815626252604 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.3352601156069364, "acc_stderr": 0.03599586301247078, "acc_norm": 0.3352601156069364, "acc_norm_stderr": 0.03599586301247078 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.23529411764705882, "acc_stderr": 0.04220773659171451, "acc_norm": 0.23529411764705882, "acc_norm_stderr": 0.04220773659171451 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.45, "acc_stderr": 0.05, "acc_norm": 0.45, "acc_norm_stderr": 0.05 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.3702127659574468, "acc_stderr": 0.03156564682236785, "acc_norm": 0.3702127659574468, "acc_norm_stderr": 0.03156564682236785 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.2631578947368421, "acc_stderr": 0.04142439719489362, "acc_norm": 0.2631578947368421, "acc_norm_stderr": 0.04142439719489362 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.22758620689655173, "acc_stderr": 0.03493950380131184, "acc_norm": 0.22758620689655173, "acc_norm_stderr": 0.03493950380131184 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.2619047619047619, "acc_stderr": 0.022644212615525214, "acc_norm": 0.2619047619047619, "acc_norm_stderr": 0.022644212615525214 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.2619047619047619, "acc_stderr": 0.03932537680392871, "acc_norm": 0.2619047619047619, "acc_norm_stderr": 0.03932537680392871 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.31, "acc_stderr": 0.04648231987117316, "acc_norm": 0.31, "acc_norm_stderr": 0.04648231987117316 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.33225806451612905, "acc_stderr": 0.0267955608481228, "acc_norm": 0.33225806451612905, "acc_norm_stderr": 0.0267955608481228 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.30049261083743845, "acc_stderr": 0.03225799476233485, "acc_norm": 0.30049261083743845, "acc_norm_stderr": 0.03225799476233485 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.33, "acc_stderr": 0.04725815626252605, "acc_norm": 0.33, "acc_norm_stderr": 0.04725815626252605 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.43636363636363634, "acc_stderr": 0.03872592983524754, "acc_norm": 0.43636363636363634, "acc_norm_stderr": 0.03872592983524754 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.3333333333333333, "acc_stderr": 0.03358618145732522, "acc_norm": 0.3333333333333333, "acc_norm_stderr": 0.03358618145732522 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.44559585492227977, "acc_stderr": 0.0358701498607566, "acc_norm": 0.44559585492227977, "acc_norm_stderr": 0.0358701498607566 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.3435897435897436, "acc_stderr": 0.024078696580635477, "acc_norm": 0.3435897435897436, "acc_norm_stderr": 0.024078696580635477 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.25925925925925924, "acc_stderr": 0.026719240783712173, "acc_norm": 0.25925925925925924, "acc_norm_stderr": 0.026719240783712173 }, "harness|hendrycksTest-high_school_microeconomics|5": { "acc": 0.33613445378151263, "acc_stderr": 0.030684737115135363, "acc_norm": 0.33613445378151263, "acc_