open-llm-leaderboard/details_OptimalScale__robin-7b-v2-delta

该数据集是在Open LLM Leaderboard上对模型OptimalScale/robin-7b-v2-delta进行评估时自动创建的。数据集包含61个配置，每个配置对应一个评估任务。数据集由1次运行创建，每次运行可以在每个配置的特定分割中找到，分割以运行的时间戳命名。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。

This dataset was automatically generated when evaluating the model OptimalScale/robin-7b-v2-delta on the Open LLM Leaderboard. It consists of 61 configurations, each corresponding to an individual evaluation task. The dataset was created via a single run, where the specific splits for each configuration are contained within that run, and the splits are named using the timestamp of the run. The `train` split always references the most recent results. Additionally, there is a configuration named `results` that stores the aggregated results across all runs, and is utilized to compute and display the aggregated metrics shown on the Open LLM Leaderboard.

原始信息汇总

数据集概述

数据集简介

该数据集是在对模型 OptimalScale/robin-7b-v2-delta 进行评估运行期间自动创建的，用于 Open LLM Leaderboard。

数据集组成

• 数据集包含 61 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。
• 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_OptimalScale__robin-7b-v2-delta", "harness_truthfulqa_mc_0", split="train")

最新结果

以下是 2023-08-04T17:26:25.175957 运行的最新结果：

python { "all": { "acc": 0.3929860483472965, "acc_stderr": 0.03475011382789092, "acc_norm": 0.3973144877483442, "acc_norm_stderr": 0.034741735928325954, "mc1": 0.2729498164014688, "mc1_stderr": 0.01559475363200652, "mc2": 0.4227251694229852, "mc2_stderr": 0.014483446210472699 }, "harness|arc:challenge|25": { "acc": 0.4351535836177474, "acc_stderr": 0.014487986197186047, "acc_norm": 0.49146757679180886, "acc_norm_stderr": 0.01460926316563219 }, "harness|hellaswag|10": { "acc": 0.5452101175064729, "acc_stderr": 0.004969341773423513, "acc_norm": 0.7442740489942242, "acc_norm_stderr": 0.004353768730644565 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.33, "acc_stderr": 0.04725815626252605, "acc_norm": 0.33, "acc_norm_stderr": 0.04725815626252605 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.4444444444444444, "acc_stderr": 0.04292596718256981, "acc_norm": 0.4444444444444444, "acc_norm_stderr": 0.04292596718256981 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.35526315789473684, "acc_stderr": 0.03894734487013317, "acc_norm": 0.35526315789473684, "acc_norm_stderr": 0.03894734487013317 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.47, "acc_stderr": 0.05016135580465919, "acc_norm": 0.47, "acc_norm_stderr": 0.05016135580465919 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.39245283018867927, "acc_stderr": 0.03005258057955784, "acc_norm": 0.39245283018867927, "acc_norm_stderr": 0.03005258057955784 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.3611111111111111, "acc_stderr": 0.040166600304512336, "acc_norm": 0.3611111111111111, "acc_norm_stderr": 0.040166600304512336 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.24, "acc_stderr": 0.042923469599092816, "acc_norm": 0.24, "acc_norm_stderr": 0.042923469599092816 }, "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": 0.23, "acc_stderr": 0.04229525846816508, "acc_norm": 0.23, "acc_norm_stderr": 0.04229525846816508 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.3236994219653179, "acc_stderr": 0.03567603799639169, "acc_norm": 0.3236994219653179, "acc_norm_stderr": 0.03567603799639169 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.21568627450980393, "acc_stderr": 0.04092563958237654, "acc_norm": 0.21568627450980393, "acc_norm_stderr": 0.04092563958237654 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.46, "acc_stderr": 0.05009082659620333, "acc_norm": 0.46, "acc_norm_stderr": 0.05009082659620333 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.3276595744680851, "acc_stderr": 0.030683020843231004, "acc_norm": 0.3276595744680851, "acc_norm_stderr": 0.030683020843231004 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.21052631578947367, "acc_stderr": 0.03835153954399421, "acc_norm": 0.21052631578947367, "acc_norm_stderr": 0.03835153954399421 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.31724137931034485, "acc_stderr": 0.038783523721386215, "acc_norm": 0.31724137931034485, "acc_norm_stderr": 0.038783523721386215 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.25132275132275134, "acc_stderr": 0.022340482339643898, "acc_norm": 0.25132275132275134, "acc_norm_stderr": 0.022340482339643898 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.24603174603174602, "acc_stderr": 0.03852273364924315, "acc_norm": 0.24603174603174602, "acc_norm_stderr": 0.03852273364924315 }, "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": 0.4, "acc_stderr": 0.027869320571664632, "acc_norm": 0.4, "acc_norm_stderr": 0.027869320571664632 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.26108374384236455, "acc_stderr": 0.030903796952114482, "acc_norm": 0.26108374384236455, "acc_norm_stderr": 0.030903796952114482 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.38, "acc_stderr": 0.04878317312145632, "acc_norm": 0.38, "acc_norm_stderr": 0.04878317312145632 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.5212121212121212, "acc_stderr": 0.03900828913737302, "acc_norm": 0.5212121212121212, "acc_norm_stderr": 0.03900828913737302 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.45454545454545453, "acc_stderr": 0.03547601494006937, "acc_norm": 0.45454545454545453, "acc_norm_stderr": 0.03547601494006937 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.5129533678756477, "acc_stderr": 0.036072280610477486, "acc_norm": 0.5129533678756477, "acc_norm_stderr": 0.036072280610477486 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.32564102564102565, "acc_stderr": 0.02375966576741229, "acc_norm": 0.32564102564102565, "acc_norm_stderr": 0.02375966576741229 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.24814814814814815, "acc_stderr": 0.0263357394040558, "acc_norm": 0.24814814814814815, "acc_norm_stderr": 0.02633