open-llm-leaderboard/details_42dot__42dot_LLM-SFT-1.3B

该数据集是在模型42dot/42dot_LLM-SFT-1.3B在Open LLM Leaderboard上的评估运行期间自动创建的。数据集由64个配置组成，每个配置对应一个被评估的任务。数据集是从一次或多次运行中生成的，每次运行都作为每个配置中的一个特定分割存储。train分割始终指向最新的结果。此外，还有一个results配置，用于存储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。README文件还包含了如何加载数据集的说明，并提供了特定运行的最新结果。

This dataset was automatically created during the evaluation run of the model 42dot/42dot_LLM-SFT-1.3B on the Open LLM Leaderboard. The dataset consists of 64 configurations, each corresponding to one evaluated task. The dataset is generated from one or multiple runs, with each run stored as a specific split within each configuration. The train split always points to the most recent results. In addition, there is a results configuration used to store the aggregated results of all runs, and to calculate and display the aggregate metrics on the Open LLM Leaderboard. The README file also includes instructions on how to load the dataset, and provides the most recent results for specific runs.

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 42dot/42dot_LLM-SFT-1.3B 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 64 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_42dot__42dot_LLM-SFT-1.3B_public", "harness_winogrande_5", split="train")

最新结果

以下是 2023-11-13T15:47:16.910477 运行的最新结果：

python { "all": { "acc": 0.26083934068438247, "acc_stderr": 0.03100224322901986, "acc_norm": 0.262585495126005, "acc_norm_stderr": 0.031783041105593664, "mc1": 0.2386780905752754, "mc1_stderr": 0.014922629695456418, "mc2": 0.39979776889587376, "mc2_stderr": 0.014420445519552157, "em": 0.01583473154362416, "em_stderr": 0.0012784360866061313, "f1": 0.07108431208053706, "f1_stderr": 0.0017891407240589372 }, "harness|arc:challenge|25": { "acc": 0.3361774744027304, "acc_stderr": 0.013804855026205758, "acc_norm": 0.3609215017064846, "acc_norm_stderr": 0.01403476138617546 }, "harness|hellaswag|10": { "acc": 0.44214299940250945, "acc_stderr": 0.004956262919324398, "acc_norm": 0.5896235809599681, "acc_norm_stderr": 0.004908967278222482 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.18, "acc_stderr": 0.03861229196653697, "acc_norm": 0.18, "acc_norm_stderr": 0.03861229196653697 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.2074074074074074, "acc_stderr": 0.035025531706783165, "acc_norm": 0.2074074074074074, "acc_norm_stderr": 0.035025531706783165 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.21052631578947367, "acc_stderr": 0.03317672787533157, "acc_norm": 0.21052631578947367, "acc_norm_stderr": 0.03317672787533157 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.3, "acc_stderr": 0.046056618647183814, "acc_norm": 0.3, "acc_norm_stderr": 0.046056618647183814 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.21132075471698114, "acc_stderr": 0.025125766484827845, "acc_norm": 0.21132075471698114, "acc_norm_stderr": 0.025125766484827845 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.25, "acc_stderr": 0.03621034121889507, "acc_norm": 0.25, "acc_norm_stderr": 0.03621034121889507 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.23, "acc_stderr": 0.04229525846816508, "acc_norm": 0.23, "acc_norm_stderr": 0.04229525846816508 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.34, "acc_stderr": 0.04760952285695235, "acc_norm": 0.34, "acc_norm_stderr": 0.04760952285695235 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.27, "acc_stderr": 0.044619604333847415, "acc_norm": 0.27, "acc_norm_stderr": 0.044619604333847415 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.26011560693641617, "acc_stderr": 0.033450369167889904, "acc_norm": 0.26011560693641617, "acc_norm_stderr": 0.033450369167889904 }, "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": 0.31, "acc_stderr": 0.04648231987117316, "acc_norm": 0.31, "acc_norm_stderr": 0.04648231987117316 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.2936170212765957, "acc_stderr": 0.029771642712491223, "acc_norm": 0.2936170212765957, "acc_norm_stderr": 0.029771642712491223 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.2894736842105263, "acc_stderr": 0.04266339443159394, "acc_norm": 0.2894736842105263, "acc_norm_stderr": 0.04266339443159394 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.25517241379310346, "acc_stderr": 0.03632984052707842, "acc_norm": 0.25517241379310346, "acc_norm_stderr": 0.03632984052707842 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.23015873015873015, "acc_stderr": 0.02167921966369315, "acc_norm": 0.23015873015873015, "acc_norm_stderr": 0.02167921966369315 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.2857142857142857, "acc_stderr": 0.0404061017820884, "acc_norm": 0.2857142857142857, "acc_norm_stderr": 0.0404061017820884 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.32, "acc_stderr": 0.046882617226215034, "acc_norm": 0.32, "acc_norm_stderr": 0.046882617226215034 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.18064516129032257, "acc_stderr": 0.02188617856717255, "acc_norm": 0.18064516129032257, "acc_norm_stderr": 0.02188617856717255 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.23645320197044334, "acc_stderr": 0.02989611429173354, "acc_norm": 0.23645320197044334, "acc_norm_stderr": 0.02989611429173354 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.22, "acc_stderr": 0.0416333199893227, "acc_norm": 0.22, "acc_norm_stderr": 0.0416333199893227 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.24848484848484848, "acc_stderr": 0.03374402644139404, "acc_norm": 0.24848484848484848, "acc_norm_stderr": 0.03374402644139404 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.18181818181818182, "acc_stderr": 0.027479603010538797, "acc_norm": 0.18181818181818182, "acc_norm_stderr": 0.027479603010538797 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.23316062176165803, "acc_stderr": 0.030516111371476008, "acc_norm": 0.23316062176165803, "acc_norm_stderr": 0.030516111371476008 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.24615384615384617, "acc_stderr": 0.021840866990423084, "acc_norm": 0.24615384615384617, "acc_norm_stderr": 0.0