open-llm-leaderboard-old/details_moreh__MoMo-72B-lora-1.8.7-DPO

该数据集是在模型moreh/MoMo-72B-lora-1.8.7-DPO在Open LLM Leaderboard上的评估运行期间自动创建的。它由63个配置组成，每个配置对应一个评估任务。数据集是从1次运行中创建的，每次运行在每个配置中作为一个特定的分割找到，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存储了运行的所有聚合结果，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

该数据集是在评估模型 moreh/MoMo-72B-lora-1.8.7-DPO 在 Open LLM Leaderboard 上的运行过程中自动创建的。

数据集组成

• 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" 分割总是指向最新的结果。
• 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_moreh__MoMo-72B-lora-1.8.7-DPO", "harness_winogrande_5", split="train")

最新结果

这些是最新结果，来自 2024-01-22T10:33:58.465501 的运行： python { "all": { "acc": 0.76953499319056, "acc_stderr": 0.0279294705479517, "acc_norm": 0.7716820258755411, "acc_norm_stderr": 0.0284840002969871, "mc1": 0.631578947368421, "mc1_stderr": 0.016886551261046046, "mc2": 0.7470556249138, "mc2_stderr": 0.014379615349295343 }, "harness|arc:challenge|25": { "acc": 0.6800341296928327, "acc_stderr": 0.013631345807016195, "acc_norm": 0.7081911262798635, "acc_norm_stderr": 0.013284525292403511 }, "harness|hellaswag|10": { "acc": 0.6733718382792272, "acc_stderr": 0.004680215003395925, "acc_norm": 0.8595897231627166, "acc_norm_stderr": 0.0034670217932838386 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.4, "acc_stderr": 0.04923659639173309, "acc_norm": 0.4, "acc_norm_stderr": 0.04923659639173309 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.7111111111111111, "acc_stderr": 0.03915450630414251, "acc_norm": 0.7111111111111111, "acc_norm_stderr": 0.03915450630414251 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.8881578947368421, "acc_stderr": 0.02564834125169361, "acc_norm": 0.8881578947368421, "acc_norm_stderr": 0.02564834125169361 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.81, "acc_stderr": 0.03942772444036623, "acc_norm": 0.81, "acc_norm_stderr": 0.03942772444036623 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.8452830188679246, "acc_stderr": 0.02225707555879128, "acc_norm": 0.8452830188679246, "acc_norm_stderr": 0.02225707555879128 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.9305555555555556, "acc_stderr": 0.02125797482283205, "acc_norm": 0.9305555555555556, "acc_norm_stderr": 0.02125797482283205 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.54, "acc_stderr": 0.05009082659620332, "acc_norm": 0.54, "acc_norm_stderr": 0.05009082659620332 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.63, "acc_stderr": 0.048523658709391, "acc_norm": 0.63, "acc_norm_stderr": 0.048523658709391 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.53, "acc_stderr": 0.05016135580465919, "acc_norm": 0.53, "acc_norm_stderr": 0.05016135580465919 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.7687861271676301, "acc_stderr": 0.03214737302029468, "acc_norm": 0.7687861271676301, "acc_norm_stderr": 0.03214737302029468 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.5490196078431373, "acc_stderr": 0.049512182523962604, "acc_norm": 0.5490196078431373, "acc_norm_stderr": 0.049512182523962604 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.8, "acc_stderr": 0.04020151261036845, "acc_norm": 0.8, "acc_norm_stderr": 0.04020151261036845 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.7914893617021277, "acc_stderr": 0.02655698211783873, "acc_norm": 0.7914893617021277, "acc_norm_stderr": 0.02655698211783873 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.5964912280701754, "acc_stderr": 0.04615186962583707, "acc_norm": 0.5964912280701754, "acc_norm_stderr": 0.04615186962583707 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.7793103448275862, "acc_stderr": 0.03455930201924811, "acc_norm": 0.7793103448275862, "acc_norm_stderr": 0.03455930201924811 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.6957671957671958, "acc_stderr": 0.023695415009463087, "acc_norm": 0.6957671957671958, "acc_norm_stderr": 0.023695415009463087 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.5714285714285714, "acc_stderr": 0.04426266681379909, "acc_norm": 0.5714285714285714, "acc_norm_stderr": 0.04426266681379909 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.49, "acc_stderr": 0.05024183937956912, "acc_norm": 0.49, "acc_norm_stderr": 0.05024183937956912 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.8838709677419355, "acc_stderr": 0.018225757949432306, "acc_norm": 0.8838709677419355, "acc_norm_stderr": 0.018225757949432306 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.645320197044335, "acc_stderr": 0.0336612448905145, "acc_norm": 0.645320197044335, "acc_norm_stderr": 0.0336612448905145 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.81, "acc_stderr": 0.03942772444036625, "acc_norm": 0.81, "acc_norm_stderr": 0.03942772444036625 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.8606060606060606, "acc_stderr": 0.0270459488258654, "acc_norm": 0.8606060606060606, "acc_norm_stderr": 0.0270459488258654 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.9343434343434344, "acc_stderr": 0.01764652667723332, "acc_norm": 0.9343434343434344, "acc_norm_stderr": 0.01764652667723332 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.9896373056994818, "acc_stderr": 0.007308424386792194, "acc_norm": 0.9896373056994818, "acc_norm_stderr": 0.007308424386792194 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.8076923076923077, "acc_stderr": 0.019982347208637296, "acc_norm": 0.8076923076923077, "acc_norm_stderr": 0.019982347208637296 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.4666666666666667, "acc_stderr": 0.03041771696171748, "acc_norm": 0.4666666666666667, "acc_norm_stderr": 0.03041771696171748 }, "harness|hendrycksTest-high_school_microeconomics|5": { "acc": 0.8529411764705882, "acc