open-llm-leaderboard/details_nathan0__mpt_delta_tuned_model_v2
收藏资源简介：
该数据集是在模型nathan0/mpt_delta_tuned_model_v2的评估运行中自动创建的。数据集由61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，每次运行都可以在特定配置中找到，分割名使用运行的时间戳命名。train分割始终指向最新的结果。此外，results配置存储了所有运行的聚合结果，并用于计算和显示在Open LLM Leaderboard上的聚合指标。
This dataset was automatically created during the evaluation run of the model nathan0/mpt_delta_tuned_model_v2. It consists of 61 configurations, each corresponding to one evaluation task. The dataset is constructed from a single run, where each run is associated with a specific configuration, and the split names are named using the timestamp of the run. The "train" split always points to the most recent results. In addition, the "results" configuration stores the aggregated results across all runs, and is used to calculate and display the aggregate metrics on the Open LLM Leaderboard.
数据集概述
数据集摘要
该数据集是在对模型 nathan0/mpt_delta_tuned_model_v2 进行评估运行期间自动创建的。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。此外，一个额外的配置 "results" 存储了所有运行的聚合结果，用于计算和显示在 Open LLM Leaderboard 上的聚合指标。
数据集加载示例
python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_nathan0__mpt_delta_tuned_model_v2", "harness_truthfulqa_mc_0", split="train")
最新结果
以下是 2023-08-29T16:16:19.015155 运行的最新结果： python { "all": { "acc": 0.2950832179561353, "acc_stderr": 0.0329561063051657, "acc_norm": 0.29907052345099405, "acc_norm_stderr": 0.03294521260985216, "mc1": 0.23623011015911874, "mc1_stderr": 0.014869755015871108, "mc2": 0.35471976554662815, "mc2_stderr": 0.013741277408130734 }, "harness|arc:challenge|25": { "acc": 0.45819112627986347, "acc_stderr": 0.014560220308714697, "acc_norm": 0.5068259385665529, "acc_norm_stderr": 0.014610029151379813 }, "harness|hellaswag|10": { "acc": 0.5774746066520613, "acc_stderr": 0.004929517011508221, "acc_norm": 0.7640908185620394, "acc_norm_stderr": 0.0042369801453443065 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.27, "acc_stderr": 0.04461960433384741, "acc_norm": 0.27, "acc_norm_stderr": 0.04461960433384741 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.2740740740740741, "acc_stderr": 0.03853254836552003, "acc_norm": 0.2740740740740741, "acc_norm_stderr": 0.03853254836552003 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.2565789473684211, "acc_stderr": 0.0355418036802569, "acc_norm": 0.2565789473684211, "acc_norm_stderr": 0.0355418036802569 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.24, "acc_stderr": 0.04292346959909283, "acc_norm": 0.24, "acc_norm_stderr": 0.04292346959909283 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.3169811320754717, "acc_stderr": 0.028637235639800918, "acc_norm": 0.3169811320754717, "acc_norm_stderr": 0.028637235639800918 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.3055555555555556, "acc_stderr": 0.03852084696008534, "acc_norm": 0.3055555555555556, "acc_norm_stderr": 0.03852084696008534 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.23, "acc_stderr": 0.04229525846816505, "acc_norm": 0.23, "acc_norm_stderr": 0.04229525846816505 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.36, "acc_stderr": 0.048241815132442176, "acc_norm": 0.36, "acc_norm_stderr": 0.048241815132442176 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.31, "acc_stderr": 0.04648231987117316, "acc_norm": 0.31, "acc_norm_stderr": 0.04648231987117316 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.21965317919075145, "acc_stderr": 0.03156809362703175, "acc_norm": 0.21965317919075145, "acc_norm_stderr": 0.03156809362703175 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.19607843137254902, "acc_stderr": 0.03950581861179961, "acc_norm": 0.19607843137254902, "acc_norm_stderr": 0.03950581861179961 }, "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": 0.31063829787234043, "acc_stderr": 0.03025123757921317, "acc_norm": 0.31063829787234043, "acc_norm_stderr": 0.03025123757921317 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.2982456140350877, "acc_stderr": 0.04303684033537314, "acc_norm": 0.2982456140350877, "acc_norm_stderr": 0.04303684033537314 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.31724137931034485, "acc_stderr": 0.03878352372138622, "acc_norm": 0.31724137931034485, "acc_norm_stderr": 0.03878352372138622 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.3148148148148148, "acc_stderr": 0.023919984164047736, "acc_norm": 0.3148148148148148, "acc_norm_stderr": 0.023919984164047736 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.19047619047619047, "acc_stderr": 0.03512207412302052, "acc_norm": 0.19047619047619047, "acc_norm_stderr": 0.03512207412302052 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.36, "acc_stderr": 0.048241815132442176, "acc_norm": 0.36, "acc_norm_stderr": 0.048241815132442176 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.2903225806451613, "acc_stderr": 0.025822106119415898, "acc_norm": 0.2903225806451613, "acc_norm_stderr": 0.025822106119415898 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.26108374384236455, "acc_stderr": 0.03090379695211449, "acc_norm": 0.26108374384236455, "acc_norm_stderr": 0.03090379695211449 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.33, "acc_stderr": 0.04725815626252606, "acc_norm": 0.33, "acc_norm_stderr": 0.04725815626252606 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.26666666666666666, "acc_stderr": 0.03453131801885415, "acc_norm": 0.26666666666666666, "acc_norm_stderr": 0.03453131801885415 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.30303030303030304, "acc_stderr": 0.03274287914026868, "acc_norm": 0.30303030303030304, "acc_norm_stderr": 0.03274287914026868 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.31088082901554404, "acc_stderr": 0.03340361906276585, "acc_norm": 0.31088082901554404, "acc_norm_stderr": 0.03340361906276585 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.30512820512820515, "acc_stderr": 0.023346335293325887, "acc_norm": 0.30512820512820515, "acc_norm_stderr": 0.023346335293325887 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.27037037037037037, "acc_stderr": 0.027080372815145675, "acc_norm": 0.27037037037037037, "acc_norm_stderr": 0.027080372815145675 }, "harness|hendrycksTest-high_school_microeconomics
