open-llm-leaderboard-old/details_SilverCoder66__Mistral-7B-Instruct-adapt-v0.2

该数据集是在评估模型SilverCoder66/Mistral-7B-Instruct-adapt-v0.2时自动创建的，评估过程在Open LLM Leaderboard上进行。数据集由63个配置组成，每个配置对应一个评估任务。数据集由2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。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，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 SilverCoder66/Mistral-7B-Instruct-adapt-v0.2 在 Open LLM Leaderboard 上的自动创建的。数据集包含 63 个配置，每个配置对应一个评估任务。数据集从 2 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。

数据集结构

数据集包含多个配置，每个配置对应一个特定的评估任务。以下是部分配置的详细信息：

配置示例

• config_name: harness_arc_challenge_25

  • splits:
    • 2024_01_26T12_59_15.411734
    • 2024_01_26T13_21_38.452140
    • latest
  • paths:
    • **/details_harness|arc:challenge|25_2024-01-26T12-59-15.411734.parquet
    • **/details_harness|arc:challenge|25_2024-01-26T13-21-38.452140.parquet

• config_name: harness_gsm8k_5

  • splits:
    • 2024_01_26T12_59_15.411734
    • 2024_01_26T13_21_38.452140
    • latest
  • paths:
    • **/details_harness|gsm8k|5_2024-01-26T12-59-15.411734.parquet
    • **/details_harness|gsm8k|5_2024-01-26T13-21-38.452140.parquet

• config_name: harness_hellaswag_10

  • splits:
    • 2024_01_26T12_59_15.411734
    • 2024_01_26T13_21_38.452140
    • latest
  • paths:
    • **/details_harness|hellaswag|10_2024-01-26T12-59-15.411734.parquet
    • **/details_harness|hellaswag|10_2024-01-26T13-21-38.452140.parquet

• config_name: harness_hendrycksTest_5

  • splits:
    • 2024_01_26T12_59_15.411734
    • 2024_01_26T13_21_38.452140
    • latest
  • paths:
    • **/details_harness|hendrycksTest-abstract_algebra|5_2024-01-26T12-59-15.411734.parquet
    • **/details_harness|hendrycksTest-anatomy|5_2024-01-26T12-59-15.411734.parquet
    • **/details_harness|hendrycksTest-astronomy|5_2024-01-26T12-59-15.411734.parquet
    • **/details_harness|hendrycksTest-business_ethics|5_2024-01-26T12-59-15.411734.parquet
    • **/details_harness|hendrycksTest-clinical_knowledge|5_2024-01-26T12-59-15.411734.parquet
    • **/details_harness|hendrycksTest-college_biology|5_2024-01-26T12-59-15.411734.parquet
    • **/details_harness|hendrycksTest-college_chemistry|5_2024-01-26T12-59-15.411734.parquet
    • **/details_harness|hendrycksTest-college_computer_science|5_2024-01-26T12-59-15.411734.parquet
    • **/details_harness|hendrycksTest-college_mathematics|5_2024-01-26T12-59-15.411734.parquet
    • **/details_harness|hendrycksTest-college_medicine|5_2024-01-26T12-59-15.411734.parquet
    • **/details_harness|hendrycksTest-college_physics|5_2024-01-26T12-59-15.411734.parquet
    • **/details_harness|hendrycksTest-computer_security|5_2024-01-26T12-59-15.411734.parquet
    • **/details_harness|hendrycksTest-conceptual_physics|5_2024-01-26T12-59-15.411734.parquet
    • **/details_harness|hendrycksTest-econometrics|5_2024-01-26T12-59-15.411734.parquet

最新结果

以下是 最新结果来自 run 2024-01-26T13:21:38.452140 的部分数据：

python { "all": { "acc": 0.6539963085655784, "acc_stderr": 0.03209729071779413, "acc_norm": 0.6531377188654616, "acc_norm_stderr": 0.03277052537749723, "mc1": 0.5667074663402693, "mc1_stderr": 0.017347024450107475, "mc2": 0.6979173351520381, "mc2_stderr": 0.015100570091735911 }, "harness|arc:challenge|25": { "acc": 0.71160409556314, "acc_stderr": 0.013238394422428171, "acc_norm": 0.7380546075085325, "acc_norm_stderr": 0.012849054826858107 }, "harness|hellaswag|10": { "acc": 0.7235610436168094, "acc_stderr": 0.0044632244454709796, "acc_norm": 0.8864767974507071, "acc_norm_stderr": 0.0031658294884891803 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.32, "acc_stderr": 0.046882617226215034, "acc_norm": 0.32, "acc_norm_stderr": 0.046882617226215034 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.6444444444444445, "acc_stderr": 0.04135176749720385, "acc_norm": 0.6444444444444445, "acc_norm_stderr": 0.04135176749720385 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.6973684210526315, "acc_stderr": 0.03738520676119669, "acc_norm": 0.6973684210526315, "acc_norm_stderr": 0.03738520676119669 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.65, "acc_stderr": 0.0479372485441102, "acc_norm": 0.65, "acc_norm_stderr": 0.0479372485441102 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.7132075471698113, "acc_stderr": 0.02783491252754407, "acc_norm": 0.7132075471698113, "acc_norm_stderr": 0.02783491252754407 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.7777777777777778, "acc_stderr": 0.03476590104304134, "acc_norm": 0.7777777777777778, "acc_norm_stderr": 0.03476590104304134 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.47, "acc_stderr": 0.050161355804659205, "acc_norm": 0.47, "acc_norm_stderr": 0.050161355804659205 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.54, "acc_stderr": 0.05009082659620333, "acc_norm": 0.54, "acc_norm_stderr": 0.05009082659620333 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.33, "acc_stderr": 0.047258156262526045, "acc_norm": 0.33, "acc_norm_stderr": 0.047258156262526045 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.6705202312138728, "acc_stderr": 0.03583901754736412, "acc_norm": 0.6705202312138728, "acc_norm_stderr": 0.03583901754736412 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.4215686274509804, "acc_stderr": 0.04913595201274498, "acc_norm": 0.4215686274509804, "acc_norm_stderr": 0.04913595201274498 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.74, "acc_stderr": 0.04408440022768077, "acc_norm": 0.74, "acc_norm_stderr": 0.04408440022768077 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.5914893617021276, "acc_stderr": 0.032134180267015755, "acc_norm": 0.5914893617021276, "acc_norm_stderr": 0.032134180267015755 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.49122807017543857, "acc_stderr": 0.04702880432049615, "acc_norm": 0.49122807017543857, "acc_norm_stderr": 0.04702880432049615 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.5655172413793104, "acc_stderr": 0.04130740879555498, "acc_norm": 0.5655172413793104, "acc_norm_stderr": 0.04130740879555498 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.42063492063492064, "acc_stderr": 0.025424835086924, "acc_norm": 0.42063492063492064, "acc_norm_stderr": 0.