open-llm-leaderboard-old/details_perlthoughts__Chupacabra-7B-v2.03-128k
收藏数据集概述
数据集摘要
该数据集是在评估模型 perlthoughts/Chupacabra-7B-v2.03-128k 在 Open LLM Leaderboard 上的运行过程中自动创建的。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 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。
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:
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配置名称:
harness_arc_challenge_25- 数据文件:
- 分割:
2023_12_11T01_11_36.377069- 路径:
**/details_harness|arc:challenge|25_2023-12-11T01-11-36.377069.parquet
- 路径:
- 分割:
latest- 路径:
**/details_harness|arc:challenge|25_2023-12-11T01-11-36.377069.parquet
- 路径:
- 分割:
- 数据文件:
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配置名称:
harness_gsm8k_5- 数据文件:
- 分割:
2023_12_11T01_11_36.377069- 路径:
**/details_harness|gsm8k|5_2023-12-11T01-11-36.377069.parquet
- 路径:
- 分割:
latest- 路径:
**/details_harness|gsm8k|5_2023-12-11T01-11-36.377069.parquet
- 路径:
- 分割:
- 数据文件:
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配置名称:
harness_hellaswag_10- 数据文件:
- 分割:
2023_12_11T01_11_36.377069- 路径:
**/details_harness|hellaswag|10_2023-12-11T01-11-36.377069.parquet
- 路径:
- 分割:
latest- 路径:
**/details_harness|hellaswag|10_2023-12-11T01-11-36.377069.parquet
- 路径:
- 分割:
- 数据文件:
-
配置名称:
harness_hendrycksTest_5- 数据文件:
- 分割:
2023_12_11T01_11_36.377069- 路径:
**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-11T01-11-36.377069.parquet**/details_harness|hendrycksTest-anatomy|5_2023-12-11T01-11-36.377069.parquet**/details_harness|hendrycksTest-astronomy|5_2023-12-11T01-11-36.377069.parquet**/details_harness|hendrycksTest-business_ethics|5_2023-12-11T01-11-36.377069.parquet**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-11T01-11-36.377069.parquet**/details_harness|hendrycksTest-college_biology|5_2023-12-11T01-11-36.377069.parquet**/details_harness|hendrycksTest-college_chemistry|5_2023-12-11T01-11-36.377069.parquet**/details_harness|hendrycksTest-college_computer_science|5_2023-12-11T01-11-36.377069.parquet**/details_harness|hendrycksTest-college_mathematics|5_2023-12-11T01-11-36.377069.parquet**/details_harness|hendrycksTest-college_medicine|5_2023-12-11T01-11-36.377069.parquet**/details_harness|hendrycksTest-college_physics|5_2023-12-11T01-11-36.377069.parquet**/details_harness|hendrycksTest-computer_security|5_2023-12-11T01-11-36.377069.parquet**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-11T01-11-36.377069.parquet**/details_harness|hendrycksTest-econometrics|5_2023-12-11T01-11-36.377069.parquet**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-11T01-11-36.377069.parquet**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-11T01-11-36.377069.parquet**/details_harness|hendrycksTest-formal_logic|5_2023-12-11T01-11-36.377069.parquet**/details_harness|hendrycksTest-global_facts|5_2023-12-11T01-11-36.377069.parquet
- 路径:
- 分割:
- 数据文件:
最新结果
以下是 2023-12-11T01:11:36.377069 运行的最新结果:
python { "all": { "acc": 0.6308159681070862, "acc_stderr": 0.03241075436743821, "acc_norm": 0.6340939515561961, "acc_norm_stderr": 0.03306369804375197, "mc1": 0.35495716034271724, "mc1_stderr": 0.0167508623813759, "mc2": 0.5116101369020933, "mc2_stderr": 0.015317262236176729 }, "harness|arc:challenge|25": { "acc": 0.6015358361774744, "acc_stderr": 0.014306946052735565, "acc_norm": 0.6467576791808873, "acc_norm_stderr": 0.013967822714840056 }, "harness|hellaswag|10": { "acc": 0.6435968930491934, "acc_stderr": 0.004779574402771385, "acc_norm": 0.8456482772356104, "acc_norm_stderr": 0.0036054721167622923 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.38, "acc_stderr": 0.048783173121456316, "acc_norm": 0.38, "acc_norm_stderr": 0.048783173121456316 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.5925925925925926, "acc_stderr": 0.042446332383532265, "acc_norm": 0.5925925925925926, "acc_norm_stderr": 0.042446332383532265 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.6513157894736842, "acc_stderr": 0.038781398887976104, "acc_norm": 0.6513157894736842, "acc_norm_stderr": 0.038781398887976104 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.61, "acc_stderr": 0.049020713000019756, "acc_norm": 0.61, "acc_norm_stderr": 0.049020713000019756 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.6943396226415094, "acc_stderr": 0.028353298073322666, "acc_norm": 0.6943396226415094, "acc_norm_stderr": 0.028353298073322666 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.7430555555555556, "acc_stderr": 0.03653946969442099, "acc_norm": 0.7430555555555556, "acc_norm_stderr": 0.03653946969442099 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.44, "acc_stderr": 0.04988876515698589, "acc_norm": 0.44, "acc_norm_stderr": 0.04988876515698589 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.44, "acc_stderr": 0.04988876515698589, "acc_norm": 0.44, "acc_norm_stderr": 0.04988876515698589 }, "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": 0.6184971098265896, "acc_stderr": 0.03703851193099521, "acc_norm": 0.6184971098265896, "acc_norm_stderr": 0.03703851193099521 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.4019607843137255, "acc_stderr": 0.04878608714466996, "acc_norm": 0.4019607843137255, "acc_norm_stderr": 0.04878608714466996 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.76, "acc_stderr": 0.04292346959909283, "acc_norm": 0.76, "acc_norm_stderr": 0.04292346959909283 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.5574468085106383, "acc_stderr": 0.03246956919789958, "acc_norm": 0.5574468085106383, "acc_norm_stderr": 0.03246956919789958 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.40350877192982454, "acc_stderr": 0.04615186962583703, "acc_norm": 0.40350877192982454, "acc_norm_stderr": 0.04615186962583703 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.5379310344827586, "acc_stderr": 0.04154659671707548, "acc_norm": 0.5379310344827586, "acc_norm_stderr": 0.04154659671707548 }, "harness|hendrycksTest-elementary_mathematics|5":



