open-llm-leaderboard/details_luffycodes__llama-shishya-7b-ep3-v2
收藏资源简介：
该数据集是在评估模型[luffycodes/llama-shishya-7b-ep3-v2](https://huggingface.co/luffycodes/llama-shishya-7b-ep3-v2)在[Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)上的表现时自动创建的。数据集由64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](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)上的聚合指标。
This dataset was automatically created when evaluating the performance of the model [luffycodes/llama-shishya-7b-ep3-v2](https://huggingface.co/luffycodes/llama-shishya-7b-ep3-v2) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard). The dataset consists of 64 configurations, each corresponding to one evaluation task. The dataset was generated from a single run, where each configuration contains specific data splits, and the names of these splits use the timestamp of the run. The "train" split always points to the most recent results. In addition, a configuration named "results" stores the aggregated results across all runs, and is used to calculate and display the aggregate metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).
数据集概述
数据集简介
该数据集是在评估模型luffycodes/llama-shishya-7b-ep3-v2在Open LLM Leaderboard上的自动创建的。数据集包含64个配置，每个配置对应一个评估任务。
数据集结构
数据集由1次运行创建，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。
额外配置
一个额外的配置"results"存储所有运行的聚合结果，用于计算和显示在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_luffycodes__llama-shishya-7b-ep3-v2_public", "harness_winogrande_5", split="train")
最新结果
以下是最新结果： python { "all": { "acc": 0.43776292457137356, "acc_stderr": 0.03405236312139111, "acc_norm": 0.44440566326787106, "acc_norm_stderr": 0.03497626520397757, "mc1": 0.19583843329253367, "mc1_stderr": 0.01389234436774209, "mc2": 0.3016304809342682, "mc2_stderr": 0.013699598037265183, "em": 0.30557885906040266, "em_stderr": 0.004717509363446725, "f1": 0.36205327181208175, "f1_stderr": 0.004656030495449622 }, "harness|arc:challenge|25": { "acc": 0.44197952218430037, "acc_stderr": 0.014512682523128345, "acc_norm": 0.4735494880546075, "acc_norm_stderr": 0.014590931358120172 }, "harness|hellaswag|10": { "acc": 0.5865365465046803, "acc_stderr": 0.004914480534533716, "acc_norm": 0.7588129854610636, "acc_norm_stderr": 0.004269291950109927 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.26, "acc_stderr": 0.04408440022768081, "acc_norm": 0.26, "acc_norm_stderr": 0.04408440022768081 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.4222222222222222, "acc_stderr": 0.04266763404099582, "acc_norm": 0.4222222222222222, "acc_norm_stderr": 0.04266763404099582 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.4144736842105263, "acc_stderr": 0.040089737857792046, "acc_norm": 0.4144736842105263, "acc_norm_stderr": 0.040089737857792046 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.38, "acc_stderr": 0.04878317312145632, "acc_norm": 0.38, "acc_norm_stderr": 0.04878317312145632 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.4716981132075472, "acc_stderr": 0.0307235352490061, "acc_norm": 0.4716981132075472, "acc_norm_stderr": 0.0307235352490061 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.4236111111111111, "acc_stderr": 0.04132125019723369, "acc_norm": 0.4236111111111111, "acc_norm_stderr": 0.04132125019723369 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.28, "acc_stderr": 0.04512608598542128, "acc_norm": 0.28, "acc_norm_stderr": 0.04512608598542128 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.39, "acc_stderr": 0.04902071300001975, "acc_norm": 0.39, "acc_norm_stderr": 0.04902071300001975 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.26, "acc_stderr": 0.04408440022768077, "acc_norm": 0.26, "acc_norm_stderr": 0.04408440022768077 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.41040462427745666, "acc_stderr": 0.03750757044895537, "acc_norm": 0.41040462427745666, "acc_norm_stderr": 0.03750757044895537 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.23529411764705882, "acc_stderr": 0.04220773659171452, "acc_norm": 0.23529411764705882, "acc_norm_stderr": 0.04220773659171452 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.54, "acc_stderr": 0.05009082659620333, "acc_norm": 0.54, "acc_norm_stderr": 0.05009082659620333 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.39574468085106385, "acc_stderr": 0.03196758697835362, "acc_norm": 0.39574468085106385, "acc_norm_stderr": 0.03196758697835362 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.2894736842105263, "acc_stderr": 0.042663394431593935, "acc_norm": 0.2894736842105263, "acc_norm_stderr": 0.042663394431593935 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.3931034482758621, "acc_stderr": 0.0407032901370707, "acc_norm": 0.3931034482758621, "acc_norm_stderr": 0.0407032901370707 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.30423280423280424, "acc_stderr": 0.023695415009463087, "acc_norm": 0.30423280423280424, "acc_norm_stderr": 0.023695415009463087 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.19047619047619047, "acc_stderr": 0.035122074123020514, "acc_norm": 0.19047619047619047, "acc_norm_stderr": 0.035122074123020514 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.33, "acc_stderr": 0.04725815626252604, "acc_norm": 0.33, "acc_norm_stderr": 0.04725815626252604 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.5096774193548387, "acc_stderr": 0.02843867799890955, "acc_norm": 0.5096774193548387, "acc_norm_stderr": 0.02843867799890955 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.32019704433497537, "acc_stderr": 0.032826493853041504, "acc_norm": 0.32019704433497537, "acc_norm_stderr": 0.032826493853041504 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.44, "acc_stderr": 0.04988876515698589, "acc_norm": 0.44, "acc_norm_stderr": 0.04988876515698589 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.5696969696969697, "acc_stderr": 0.03866225962879077, "acc_norm": 0.5696969696969697, "acc_norm_stderr": 0.03866225962879077 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.51010101010101, "acc_stderr": 0.035616254886737454, "acc_norm": 0.51010101010101, "acc_norm_stderr": 0.035616254886737454 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.5854922279792746, "acc_stderr": 0.035553003195576686, "acc_norm": 0.5854922279792746, "acc_norm_stderr": 0.035553003195576686 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.37435897435897436, "acc_stderr": 0.024537591572830517, "acc_norm": 0.37435897435897436, "acc_norm_stderr": 0.024537591572830517 }, "harness|hendry
