open-llm-leaderboard-old/details_mlabonne__NeuralDaredevil-7B
收藏数据集概述
数据集摘要
该数据集是在评估模型 mlabonne/NeuralDaredevil-7B 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,每次运行的详细结果可以在每个配置中找到,分割名称使用运行的时间戳。"train" 分割始终指向最新的结果。
数据集结构
数据集包含多个配置,每个配置对应不同的评估任务。以下是部分配置的详细信息:
配置示例
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配置名称:
harness_arc_challenge_25- 分割:
2024_01_16T01_21_38.357937- 路径:
**/details_harness|arc:challenge|25_2024-01-16T01-21-38.357937.parquet
- 路径:
- 分割:
latest- 路径:
**/details_harness|arc:challenge|25_2024-01-16T01-21-38.357937.parquet
- 路径:
- 分割:
-
配置名称:
harness_gsm8k_5- 分割:
2024_01_16T01_21_38.357937- 路径:
**/details_harness|gsm8k|5_2024-01-16T01-21-38.357937.parquet
- 路径:
- 分割:
latest- 路径:
**/details_harness|gsm8k|5_2024-01-16T01-21-38.357937.parquet
- 路径:
- 分割:
-
配置名称:
harness_hellaswag_10- 分割:
2024_01_16T01_21_38.357937- 路径:
**/details_harness|hellaswag|10_2024-01-16T01-21-38.357937.parquet
- 路径:
- 分割:
latest- 路径:
**/details_harness|hellaswag|10_2024-01-16T01-21-38.357937.parquet
- 路径:
- 分割:
-
配置名称:
harness_hendrycksTest_5- 分割:
2024_01_16T01_21_38.357937- 路径:
**/details_harness|hendrycksTest-abstract_algebra|5_2024-01-16T01-21-38.357937.parquet**/details_harness|hendrycksTest-anatomy|5_2024-01-16T01-21-38.357937.parquet**/details_harness|hendrycksTest-astronomy|5_2024-01-16T01-21-38.357937.parquet**/details_harness|hendrycksTest-business_ethics|5_2024-01-16T01-21-38.357937.parquet**/details_harness|hendrycksTest-clinical_knowledge|5_2024-01-16T01-21-38.357937.parquet**/details_harness|hendrycksTest-college_biology|5_2024-01-16T01-21-38.357937.parquet**/details_harness|hendrycksTest-college_chemistry|5_2024-01-16T01-21-38.357937.parquet**/details_harness|hendrycksTest-college_computer_science|5_2024-01-16T01-21-38.357937.parquet**/details_harness|hendrycksTest-college_mathematics|5_2024-01-16T01-21-38.357937.parquet**/details_harness|hendrycksTest-college_medicine|5_2024-01-16T01-21-38.357937.parquet**/details_harness|hendrycksTest-college_physics|5_2024-01-16T01-21-38.357937.parquet**/details_harness|hendrycksTest-computer_security|5_2024-01-16T01-21-38.357937.parquet**/details_harness|hendrycksTest-conceptual_physics|5_2024-01-16T01-21-38.357937.parquet**/details_harness|hendrycksTest-econometrics|5_2024-01-16T01-21-38.357937.parquet**/details_harness|hendrycksTest-electrical_engineering|5_2024-01-16T01-21-38.357937.parquet**/details_harness|hendrycksTest-elementary_mathematics|5_2024-01-16T01-21-38.357937.parquet**/details_harness|hendrycksTest-formal_logic|5_2024-01-16T01-21-38.357937.parquet**/details_harness|hendrycksTest-global_facts|5_2024-01-16T01-21-38.357937.parquet**/details_harness|hendrycksTest-high_school_biology|5_2024-01-16T01-21-38.357937.parquet
- 路径:
- 分割:
最新结果
以下是 2024-01-16T01:21:38.357937 运行 的最新结果:
python { "all": { "acc": 0.6564539739507499, "acc_stderr": 0.032046532668970576, "acc_norm": 0.6558352422789521, "acc_norm_stderr": 0.03271651117623881, "mc1": 0.5152998776009792, "mc1_stderr": 0.0174953044731879, "mc2": 0.6685490621837052, "mc2_stderr": 0.014954458772938018 }, "harness|arc:challenge|25": { "acc": 0.6749146757679181, "acc_stderr": 0.013688147309729124, "acc_norm": 0.6988054607508533, "acc_norm_stderr": 0.013406741767847638 }, "harness|hellaswag|10": { "acc": 0.6970722963553077, "acc_stderr": 0.004585850835623566, "acc_norm": 0.8762198765186218, "acc_norm_stderr": 0.003286574812451194 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.35, "acc_stderr": 0.0479372485441102, "acc_norm": 0.35, "acc_norm_stderr": 0.0479372485441102 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.6518518518518519, "acc_stderr": 0.041153246103369526, "acc_norm": 0.6518518518518519, "acc_norm_stderr": 0.041153246103369526 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.7039473684210527, "acc_stderr": 0.03715062154998904, "acc_norm": 0.7039473684210527, "acc_norm_stderr": 0.03715062154998904 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.63, "acc_stderr": 0.04852365870939099, "acc_norm": 0.63, "acc_norm_stderr": 0.04852365870939099 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.7433962264150943, "acc_stderr": 0.026880647889051975, "acc_norm": 0.7433962264150943, "acc_norm_stderr": 0.026880647889051975 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.7847222222222222, "acc_stderr": 0.03437079344106135, "acc_norm": 0.7847222222222222, "acc_norm_stderr": 0.03437079344106135 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.49, "acc_stderr": 0.05024183937956912, "acc_norm": 0.49, "acc_norm_stderr": 0.05024183937956912 }, "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": 0.32, "acc_stderr": 0.04688261722621504, "acc_norm": 0.32, "acc_norm_stderr": 0.04688261722621504 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.6763005780346821, "acc_stderr": 0.035676037996391706, "acc_norm": 0.6763005780346821, "acc_norm_stderr": 0.035676037996391706 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.4411764705882353, "acc_stderr": 0.049406356306056595, "acc_norm": 0.4411764705882353, "acc_norm_stderr": 0.049406356306056595 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.77, "acc_stderr": 0.04229525846816508, "acc_norm": 0.77, "acc_norm_stderr": 0.04229525846816508 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.5787234042553191, "acc_stderr": 0.03227834510146267, "acc_norm": 0.5787234042553191, "acc_norm_stderr": 0.03227834510146267 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.4824561403508772, "acc_stderr": 0.04700708033551038, "acc_norm": 0.4824561403508772, "acc_norm_stderr": 0.04700708033551038 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.5793103448275863, "acc_stderr": 0.0411391498118926, "acc_norm": 0.5793103448275863, "acc_norm_stderr": 0.041139149811



