SaylorTwift
HF Staff
Upload results_2024-01-25T17-11-57.529002.json with huggingface_hub
5ab855c
verified
| { | |
| "config_general": { | |
| "lighteval_sha": "494ee12240e716e804ae9ea834f84a2c864c07ca", | |
| "num_few_shot_default": 0, | |
| "num_fewshot_seeds": 1, | |
| "override_batch_size": 1, | |
| "max_samples": null, | |
| "job_id": "", | |
| "start_time": 3185608.572289926, | |
| "end_time": 3205165.076242876, | |
| "total_evaluation_time_secondes": "19556.503952949774", | |
| "model_name": "Steelskull/VerB-Etheria-55b", | |
| "model_sha": "dcab4ed7680a3e5c2f4e3ef36e880cb3b9149dd0", | |
| "model_dtype": "torch.bfloat16", | |
| "model_size": "112.89 GB" | |
| }, | |
| "results": { | |
| "harness|arc:challenge|25": { | |
| "acc": 0.6279863481228669, | |
| "acc_stderr": 0.014124597881844461, | |
| "acc_norm": 0.659556313993174, | |
| "acc_norm_stderr": 0.013847460518892973 | |
| }, | |
| "harness|hellaswag|10": { | |
| "acc": 0.6437960565624378, | |
| "acc_stderr": 0.004778978031389639, | |
| "acc_norm": 0.8147779326827326, | |
| "acc_norm_stderr": 0.003876836709461124 | |
| }, | |
| "harness|hendrycksTest-abstract_algebra|5": { | |
| "acc": 0.41, | |
| "acc_stderr": 0.049431107042371025, | |
| "acc_norm": 0.41, | |
| "acc_norm_stderr": 0.049431107042371025 | |
| }, | |
| "harness|hendrycksTest-anatomy|5": { | |
| "acc": 0.6666666666666666, | |
| "acc_stderr": 0.04072314811876837, | |
| "acc_norm": 0.6666666666666666, | |
| "acc_norm_stderr": 0.04072314811876837 | |
| }, | |
| "harness|hendrycksTest-astronomy|5": { | |
| "acc": 0.8618421052631579, | |
| "acc_stderr": 0.028081042939576552, | |
| "acc_norm": 0.8618421052631579, | |
| "acc_norm_stderr": 0.028081042939576552 | |
| }, | |
| "harness|hendrycksTest-business_ethics|5": { | |
| "acc": 0.77, | |
| "acc_stderr": 0.04229525846816505, | |
| "acc_norm": 0.77, | |
| "acc_norm_stderr": 0.04229525846816505 | |
| }, | |
| "harness|hendrycksTest-clinical_knowledge|5": { | |
| "acc": 0.7735849056603774, | |
| "acc_stderr": 0.025757559893106723, | |
| "acc_norm": 0.7735849056603774, | |
| "acc_norm_stderr": 0.025757559893106723 | |
| }, | |
| "harness|hendrycksTest-college_biology|5": { | |
| "acc": 0.8611111111111112, | |
| "acc_stderr": 0.028919802956134905, | |
| "acc_norm": 0.8611111111111112, | |
| "acc_norm_stderr": 0.028919802956134905 | |
| }, | |
| "harness|hendrycksTest-college_chemistry|5": { | |
| "acc": 0.55, | |
| "acc_stderr": 0.04999999999999999, | |
| "acc_norm": 0.55, | |
| "acc_norm_stderr": 0.04999999999999999 | |
| }, | |
| "harness|hendrycksTest-college_computer_science|5": { | |
| "acc": 0.6, | |
| "acc_stderr": 0.049236596391733084, | |
| "acc_norm": 0.6, | |
| "acc_norm_stderr": 0.049236596391733084 | |
| }, | |
| "harness|hendrycksTest-college_mathematics|5": { | |
| "acc": 0.36, | |
| "acc_stderr": 0.04824181513244218, | |
| "acc_norm": 0.36, | |
| "acc_norm_stderr": 0.04824181513244218 | |
| }, | |
| "harness|hendrycksTest-college_medicine|5": { | |
| "acc": 0.6994219653179191, | |
| "acc_stderr": 0.0349610148119118, | |
| "acc_norm": 0.6994219653179191, | |
| "acc_norm_stderr": 0.0349610148119118 | |
| }, | |
| "harness|hendrycksTest-college_physics|5": { | |
| "acc": 0.47058823529411764, | |
| "acc_stderr": 0.04966570903978529, | |
| "acc_norm": 0.47058823529411764, | |
| "acc_norm_stderr": 0.04966570903978529 | |
| }, | |
| "harness|hendrycksTest-computer_security|5": { | |
| "acc": 0.8, | |
| "acc_stderr": 0.04020151261036845, | |
| "acc_norm": 0.8, | |
| "acc_norm_stderr": 0.04020151261036845 | |
| }, | |
| "harness|hendrycksTest-conceptual_physics|5": { | |
| "acc": 0.7446808510638298, | |
| "acc_stderr": 0.02850485647051426, | |
| "acc_norm": 0.7446808510638298, | |
| "acc_norm_stderr": 0.02850485647051426 | |
| }, | |
| "harness|hendrycksTest-econometrics|5": { | |
| "acc": 0.5526315789473685, | |
| "acc_stderr": 0.04677473004491199, | |
| "acc_norm": 0.5526315789473685, | |
| "acc_norm_stderr": 0.04677473004491199 | |
| }, | |
| "harness|hendrycksTest-electrical_engineering|5": { | |
| "acc": 0.7448275862068966, | |
| "acc_stderr": 0.03632984052707842, | |
| "acc_norm": 0.7448275862068966, | |
| "acc_norm_stderr": 0.03632984052707842 | |
| }, | |
| "harness|hendrycksTest-elementary_mathematics|5": { | |
| "acc": 0.5582010582010583, | |
| "acc_stderr": 0.025576257061253833, | |
| "acc_norm": 0.5582010582010583, | |
| "acc_norm_stderr": 0.025576257061253833 | |
| }, | |
| "harness|hendrycksTest-formal_logic|5": { | |
| "acc": 0.5, | |
| "acc_stderr": 0.04472135954999579, | |
| "acc_norm": 0.5, | |
| "acc_norm_stderr": 0.04472135954999579 | |
| }, | |
| "harness|hendrycksTest-global_facts|5": { | |
| "acc": 0.5, | |
| "acc_stderr": 0.050251890762960605, | |
| "acc_norm": 0.5, | |
| "acc_norm_stderr": 0.050251890762960605 | |
| }, | |
| "harness|hendrycksTest-high_school_biology|5": { | |
| "acc": 0.9, | |
| "acc_stderr": 0.017066403719657255, | |
| "acc_norm": 0.9, | |
| "acc_norm_stderr": 0.017066403719657255 | |
| }, | |
| "harness|hendrycksTest-high_school_chemistry|5": { | |
| "acc": 0.5911330049261084, | |
| "acc_stderr": 0.03459058815883232, | |
| "acc_norm": 0.5911330049261084, | |
| "acc_norm_stderr": 0.03459058815883232 | |
| }, | |
| "harness|hendrycksTest-high_school_computer_science|5": { | |
| "acc": 0.81, | |
| "acc_stderr": 0.03942772444036624, | |
| "acc_norm": 0.81, | |
| "acc_norm_stderr": 0.03942772444036624 | |
| }, | |
| "harness|hendrycksTest-high_school_european_history|5": { | |
| "acc": 0.8303030303030303, | |
| "acc_stderr": 0.029311188674983116, | |
| "acc_norm": 0.8303030303030303, | |
| "acc_norm_stderr": 0.029311188674983116 | |
| }, | |
| "harness|hendrycksTest-high_school_geography|5": { | |
| "acc": 0.9292929292929293, | |
| "acc_stderr": 0.018263105420199505, | |
| "acc_norm": 0.9292929292929293, | |
| "acc_norm_stderr": 0.018263105420199505 | |
| }, | |
| "harness|hendrycksTest-high_school_government_and_politics|5": { | |
| "acc": 0.9792746113989638, | |
| "acc_stderr": 0.010281417011909032, | |
| "acc_norm": 0.9792746113989638, | |
| "acc_norm_stderr": 0.010281417011909032 | |
| }, | |
| "harness|hendrycksTest-high_school_macroeconomics|5": { | |
| "acc": 0.782051282051282, | |
| "acc_stderr": 0.020932445774463196, | |
| "acc_norm": 0.782051282051282, | |
| "acc_norm_stderr": 0.020932445774463196 | |
| }, | |
| "harness|hendrycksTest-high_school_mathematics|5": { | |
| "acc": 0.3962962962962963, | |
| "acc_stderr": 0.029822619458533997, | |
| "acc_norm": 0.3962962962962963, | |
| "acc_norm_stderr": 0.029822619458533997 | |
| }, | |
| "harness|hendrycksTest-high_school_microeconomics|5": { | |
| "acc": 0.8529411764705882, | |
| "acc_stderr": 0.023005459446673957, | |
| "acc_norm": 0.8529411764705882, | |
| "acc_norm_stderr": 0.023005459446673957 | |
| }, | |
| "harness|hendrycksTest-high_school_physics|5": { | |
| "acc": 0.4768211920529801, | |
| "acc_stderr": 0.04078093859163083, | |
| "acc_norm": 0.4768211920529801, | |
| "acc_norm_stderr": 0.04078093859163083 | |
| }, | |
| "harness|hendrycksTest-high_school_psychology|5": { | |
| "acc": 0.9064220183486239, | |
| "acc_stderr": 0.01248684182460197, | |
| "acc_norm": 0.9064220183486239, | |
| "acc_norm_stderr": 0.01248684182460197 | |
| }, | |
| "harness|hendrycksTest-high_school_statistics|5": { | |
| "acc": 0.6527777777777778, | |
| "acc_stderr": 0.032468872436376486, | |
| "acc_norm": 0.6527777777777778, | |
| "acc_norm_stderr": 0.032468872436376486 | |
| }, | |
| "harness|hendrycksTest-high_school_us_history|5": { | |
| "acc": 0.9019607843137255, | |
| "acc_stderr": 0.020871118455552104, | |
| "acc_norm": 0.9019607843137255, | |
| "acc_norm_stderr": 0.020871118455552104 | |
| }, | |
| "harness|hendrycksTest-high_school_world_history|5": { | |
| "acc": 0.8945147679324894, | |
| "acc_stderr": 0.019995560723758535, | |
| "acc_norm": 0.8945147679324894, | |
| "acc_norm_stderr": 0.019995560723758535 | |
| }, | |
| "harness|hendrycksTest-human_aging|5": { | |
| "acc": 0.8026905829596412, | |
| "acc_stderr": 0.02670985334496796, | |
| "acc_norm": 0.8026905829596412, | |
| "acc_norm_stderr": 0.02670985334496796 | |
| }, | |
| "harness|hendrycksTest-human_sexuality|5": { | |
| "acc": 0.8396946564885496, | |
| "acc_stderr": 0.03217829420744631, | |
| "acc_norm": 0.8396946564885496, | |
| "acc_norm_stderr": 0.03217829420744631 | |
| }, | |
| "harness|hendrycksTest-international_law|5": { | |
| "acc": 0.8677685950413223, | |
| "acc_stderr": 0.03092278832044579, | |
| "acc_norm": 0.8677685950413223, | |
| "acc_norm_stderr": 0.03092278832044579 | |
| }, | |
| "harness|hendrycksTest-jurisprudence|5": { | |
| "acc": 0.8611111111111112, | |
| "acc_stderr": 0.0334327006286962, | |
| "acc_norm": 0.8611111111111112, | |
| "acc_norm_stderr": 0.0334327006286962 | |
| }, | |
| "harness|hendrycksTest-logical_fallacies|5": { | |
| "acc": 0.8834355828220859, | |
| "acc_stderr": 0.025212327210507104, | |
| "acc_norm": 0.8834355828220859, | |
| "acc_norm_stderr": 0.025212327210507104 | |
| }, | |
| "harness|hendrycksTest-machine_learning|5": { | |
| "acc": 0.6071428571428571, | |
| "acc_stderr": 0.04635550135609976, | |
| "acc_norm": 0.6071428571428571, | |
| "acc_norm_stderr": 0.04635550135609976 | |
| }, | |
| "harness|hendrycksTest-management|5": { | |
| "acc": 0.8349514563106796, | |
| "acc_stderr": 0.03675668832233188, | |
| "acc_norm": 0.8349514563106796, | |
| "acc_norm_stderr": 0.03675668832233188 | |
| }, | |
| "harness|hendrycksTest-marketing|5": { | |
| "acc": 0.9102564102564102, | |
| "acc_stderr": 0.018724301741941646, | |
| "acc_norm": 0.9102564102564102, | |
| "acc_norm_stderr": 0.018724301741941646 | |
| }, | |
| "harness|hendrycksTest-medical_genetics|5": { | |
| "acc": 0.83, | |
| "acc_stderr": 0.03775251680686371, | |
| "acc_norm": 0.83, | |
| "acc_norm_stderr": 0.03775251680686371 | |
| }, | |
| "harness|hendrycksTest-miscellaneous|5": { | |
| "acc": 0.8876117496807152, | |
| "acc_stderr": 0.011294541351216533, | |
| "acc_norm": 0.8876117496807152, | |
| "acc_norm_stderr": 0.011294541351216533 | |
| }, | |
| "harness|hendrycksTest-moral_disputes|5": { | |
| "acc": 0.8179190751445087, | |
| "acc_stderr": 0.020776761102512965, | |
| "acc_norm": 0.8179190751445087, | |
| "acc_norm_stderr": 0.020776761102512965 | |
| }, | |
| "harness|hendrycksTest-moral_scenarios|5": { | |
| "acc": 0.6324022346368715, | |
| "acc_stderr": 0.016125543823552944, | |
| "acc_norm": 0.6324022346368715, | |
| "acc_norm_stderr": 0.016125543823552944 | |
| }, | |
| "harness|hendrycksTest-nutrition|5": { | |
| "acc": 0.8169934640522876, | |
| "acc_stderr": 0.02214076751288097, | |
| "acc_norm": 0.8169934640522876, | |
| "acc_norm_stderr": 0.02214076751288097 | |
| }, | |
| "harness|hendrycksTest-philosophy|5": { | |
| "acc": 0.8167202572347267, | |
| "acc_stderr": 0.021974198848265823, | |
| "acc_norm": 0.8167202572347267, | |
| "acc_norm_stderr": 0.021974198848265823 | |
| }, | |
| "harness|hendrycksTest-prehistory|5": { | |
| "acc": 0.8240740740740741, | |
| "acc_stderr": 0.021185893615225153, | |
| "acc_norm": 0.8240740740740741, | |
| "acc_norm_stderr": 0.021185893615225153 | |
| }, | |
| "harness|hendrycksTest-professional_accounting|5": { | |
| "acc": 0.624113475177305, | |
| "acc_stderr": 0.028893955412115882, | |
| "acc_norm": 0.624113475177305, | |
| "acc_norm_stderr": 0.028893955412115882 | |
| }, | |
| "harness|hendrycksTest-professional_law|5": { | |
| "acc": 0.5684485006518905, | |
| "acc_stderr": 0.012650007999463902, | |
| "acc_norm": 0.5684485006518905, | |
| "acc_norm_stderr": 0.012650007999463902 | |
| }, | |
| "harness|hendrycksTest-professional_medicine|5": { | |
| "acc": 0.7977941176470589, | |
| "acc_stderr": 0.024398192986654924, | |
| "acc_norm": 0.7977941176470589, | |
| "acc_norm_stderr": 0.024398192986654924 | |
| }, | |
| "harness|hendrycksTest-professional_psychology|5": { | |
| "acc": 0.7875816993464052, | |
| "acc_stderr": 0.016547148636203147, | |
| "acc_norm": 0.7875816993464052, | |
| "acc_norm_stderr": 0.016547148636203147 | |
| }, | |
| "harness|hendrycksTest-public_relations|5": { | |
| "acc": 0.7272727272727273, | |
| "acc_stderr": 0.04265792110940588, | |
| "acc_norm": 0.7272727272727273, | |
| "acc_norm_stderr": 0.04265792110940588 | |
| }, | |
| "harness|hendrycksTest-security_studies|5": { | |
| "acc": 0.8204081632653061, | |
| "acc_stderr": 0.024573293589585637, | |
| "acc_norm": 0.8204081632653061, | |
| "acc_norm_stderr": 0.024573293589585637 | |
| }, | |
| "harness|hendrycksTest-sociology|5": { | |
| "acc": 0.8805970149253731, | |
| "acc_stderr": 0.02292879327721974, | |
| "acc_norm": 0.8805970149253731, | |
| "acc_norm_stderr": 0.02292879327721974 | |
| }, | |
| "harness|hendrycksTest-us_foreign_policy|5": { | |
| "acc": 0.88, | |
| "acc_stderr": 0.03265986323710906, | |
| "acc_norm": 0.88, | |
| "acc_norm_stderr": 0.03265986323710906 | |
| }, | |
| "harness|hendrycksTest-virology|5": { | |
| "acc": 0.5542168674698795, | |
| "acc_stderr": 0.038695433234721015, | |
| "acc_norm": 0.5542168674698795, | |
| "acc_norm_stderr": 0.038695433234721015 | |
| }, | |
| "harness|hendrycksTest-world_religions|5": { | |
| "acc": 0.8538011695906432, | |
| "acc_stderr": 0.027097290118070827, | |
| "acc_norm": 0.8538011695906432, | |
| "acc_norm_stderr": 0.027097290118070827 | |
| }, | |
| "harness|truthfulqa:mc|0": { | |
| "mc1": 0.3990208078335373, | |
| "mc1_stderr": 0.01714282572849677, | |
| "mc2": 0.575213422471882, | |
| "mc2_stderr": 0.01606436002486393 | |
| }, | |
| "harness|winogrande|5": { | |
| "acc": 0.7545382794001578, | |
| "acc_stderr": 0.012095272937183653 | |
| }, | |
| "harness|gsm8k|5": { | |
| "acc": 0.2880970432145565, | |
| "acc_stderr": 0.012474469737197923 | |
| }, | |
| "all": { | |
| "acc": 0.7273568607295041, | |
| "acc_stderr": 0.029263863644913724, | |
| "acc_norm": 0.7377743224385701, | |
| "acc_norm_stderr": 0.02981943493187247, | |
| "mc1": 0.3990208078335373, | |
| "mc1_stderr": 0.01714282572849677, | |
| "mc2": 0.575213422471882, | |
| "mc2_stderr": 0.01606436002486393 | |
| } | |
| }, | |
| "versions": { | |
| "all": 0, | |
| "harness|arc:challenge|25": 0, | |
| "harness|gsm8k|5": 0, | |
| "harness|hellaswag|10": 0, | |
| "harness|hendrycksTest-abstract_algebra|5": 1, | |
| "harness|hendrycksTest-anatomy|5": 1, | |
| "harness|hendrycksTest-astronomy|5": 1, | |
| "harness|hendrycksTest-business_ethics|5": 1, | |
| "harness|hendrycksTest-clinical_knowledge|5": 1, | |
| "harness|hendrycksTest-college_biology|5": 1, | |
| "harness|hendrycksTest-college_chemistry|5": 1, | |
| "harness|hendrycksTest-college_computer_science|5": 1, | |
| "harness|hendrycksTest-college_mathematics|5": 1, | |
| "harness|hendrycksTest-college_medicine|5": 1, | |
| "harness|hendrycksTest-college_physics|5": 1, | |
| "harness|hendrycksTest-computer_security|5": 1, | |
| "harness|hendrycksTest-conceptual_physics|5": 1, | |
| "harness|hendrycksTest-econometrics|5": 1, | |
| "harness|hendrycksTest-electrical_engineering|5": 1, | |
| "harness|hendrycksTest-elementary_mathematics|5": 1, | |
| "harness|hendrycksTest-formal_logic|5": 1, | |
| "harness|hendrycksTest-global_facts|5": 1, | |
| "harness|hendrycksTest-high_school_biology|5": 1, | |
| "harness|hendrycksTest-high_school_chemistry|5": 1, | |
| "harness|hendrycksTest-high_school_computer_science|5": 1, | |
| "harness|hendrycksTest-high_school_european_history|5": 1, | |
| "harness|hendrycksTest-high_school_geography|5": 1, | |
| "harness|hendrycksTest-high_school_government_and_politics|5": 1, | |
| "harness|hendrycksTest-high_school_macroeconomics|5": 1, | |
| "harness|hendrycksTest-high_school_mathematics|5": 1, | |
| "harness|hendrycksTest-high_school_microeconomics|5": 1, | |
| "harness|hendrycksTest-high_school_physics|5": 1, | |
| "harness|hendrycksTest-high_school_psychology|5": 1, | |
| "harness|hendrycksTest-high_school_statistics|5": 1, | |
| "harness|hendrycksTest-high_school_us_history|5": 1, | |
| "harness|hendrycksTest-high_school_world_history|5": 1, | |
| "harness|hendrycksTest-human_aging|5": 1, | |
| "harness|hendrycksTest-human_sexuality|5": 1, | |
| "harness|hendrycksTest-international_law|5": 1, | |
| "harness|hendrycksTest-jurisprudence|5": 1, | |
| "harness|hendrycksTest-logical_fallacies|5": 1, | |
| "harness|hendrycksTest-machine_learning|5": 1, | |
| "harness|hendrycksTest-management|5": 1, | |
| "harness|hendrycksTest-marketing|5": 1, | |
| "harness|hendrycksTest-medical_genetics|5": 1, | |
| "harness|hendrycksTest-miscellaneous|5": 1, | |
| "harness|hendrycksTest-moral_disputes|5": 1, | |
| "harness|hendrycksTest-moral_scenarios|5": 1, | |
| "harness|hendrycksTest-nutrition|5": 1, | |
| "harness|hendrycksTest-philosophy|5": 1, | |
| "harness|hendrycksTest-prehistory|5": 1, | |
| "harness|hendrycksTest-professional_accounting|5": 1, | |
| "harness|hendrycksTest-professional_law|5": 1, | |
| "harness|hendrycksTest-professional_medicine|5": 1, | |
| "harness|hendrycksTest-professional_psychology|5": 1, | |
| "harness|hendrycksTest-public_relations|5": 1, | |
| "harness|hendrycksTest-security_studies|5": 1, | |
| "harness|hendrycksTest-sociology|5": 1, | |
| "harness|hendrycksTest-us_foreign_policy|5": 1, | |
| "harness|hendrycksTest-virology|5": 1, | |
| "harness|hendrycksTest-world_religions|5": 1, | |
| "harness|truthfulqa:mc|0": 1, | |
| "harness|winogrande|5": 0 | |
| }, | |
| "config_tasks": { | |
| "harness|arc:challenge": "LM Harness task", | |
| "harness|gsm8k": "LM Harness task", | |
| "harness|hellaswag": "LM Harness task", | |
| "harness|hendrycksTest-abstract_algebra": "LM Harness task", | |
| "harness|hendrycksTest-anatomy": "LM Harness task", | |
| "harness|hendrycksTest-astronomy": "LM Harness task", | |
| "harness|hendrycksTest-business_ethics": "LM Harness task", | |
| "harness|hendrycksTest-clinical_knowledge": "LM Harness task", | |
| "harness|hendrycksTest-college_biology": "LM Harness task", | |
| "harness|hendrycksTest-college_chemistry": "LM Harness task", | |
| "harness|hendrycksTest-college_computer_science": "LM Harness task", | |
| "harness|hendrycksTest-college_mathematics": "LM Harness task", | |
| "harness|hendrycksTest-college_medicine": "LM Harness task", | |
| "harness|hendrycksTest-college_physics": "LM Harness task", | |
| "harness|hendrycksTest-computer_security": "LM Harness task", | |
| "harness|hendrycksTest-conceptual_physics": "LM Harness task", | |
| "harness|hendrycksTest-econometrics": "LM Harness task", | |
| "harness|hendrycksTest-electrical_engineering": "LM Harness task", | |
| "harness|hendrycksTest-elementary_mathematics": "LM Harness task", | |
| "harness|hendrycksTest-formal_logic": "LM Harness task", | |
| "harness|hendrycksTest-global_facts": "LM Harness task", | |
| "harness|hendrycksTest-high_school_biology": "LM Harness task", | |
| "harness|hendrycksTest-high_school_chemistry": "LM Harness task", | |
| "harness|hendrycksTest-high_school_computer_science": "LM Harness task", | |
| "harness|hendrycksTest-high_school_european_history": "LM Harness task", | |
| "harness|hendrycksTest-high_school_geography": "LM Harness task", | |
| "harness|hendrycksTest-high_school_government_and_politics": "LM Harness task", | |
| "harness|hendrycksTest-high_school_macroeconomics": "LM Harness task", | |
| "harness|hendrycksTest-high_school_mathematics": "LM Harness task", | |
| "harness|hendrycksTest-high_school_microeconomics": "LM Harness task", | |
| "harness|hendrycksTest-high_school_physics": "LM Harness task", | |
| "harness|hendrycksTest-high_school_psychology": "LM Harness task", | |
| "harness|hendrycksTest-high_school_statistics": "LM Harness task", | |
| "harness|hendrycksTest-high_school_us_history": "LM Harness task", | |
| "harness|hendrycksTest-high_school_world_history": "LM Harness task", | |
| "harness|hendrycksTest-human_aging": "LM Harness task", | |
| "harness|hendrycksTest-human_sexuality": "LM Harness task", | |
| "harness|hendrycksTest-international_law": "LM Harness task", | |
| "harness|hendrycksTest-jurisprudence": "LM Harness task", | |
| "harness|hendrycksTest-logical_fallacies": "LM Harness task", | |
| "harness|hendrycksTest-machine_learning": "LM Harness task", | |
| "harness|hendrycksTest-management": "LM Harness task", | |
| "harness|hendrycksTest-marketing": "LM Harness task", | |
| "harness|hendrycksTest-medical_genetics": "LM Harness task", | |
| "harness|hendrycksTest-miscellaneous": "LM Harness task", | |
| "harness|hendrycksTest-moral_disputes": "LM Harness task", | |
| "harness|hendrycksTest-moral_scenarios": "LM Harness task", | |
| "harness|hendrycksTest-nutrition": "LM Harness task", | |
| "harness|hendrycksTest-philosophy": "LM Harness task", | |
| "harness|hendrycksTest-prehistory": "LM Harness task", | |
| "harness|hendrycksTest-professional_accounting": "LM Harness task", | |
| "harness|hendrycksTest-professional_law": "LM Harness task", | |
| "harness|hendrycksTest-professional_medicine": "LM Harness task", | |
| "harness|hendrycksTest-professional_psychology": "LM Harness task", | |
| "harness|hendrycksTest-public_relations": "LM Harness task", | |
| "harness|hendrycksTest-security_studies": "LM Harness task", | |
| "harness|hendrycksTest-sociology": "LM Harness task", | |
| "harness|hendrycksTest-us_foreign_policy": "LM Harness task", | |
| "harness|hendrycksTest-virology": "LM Harness task", | |
| "harness|hendrycksTest-world_religions": "LM Harness task", | |
| "harness|truthfulqa:mc": "LM Harness task", | |
| "harness|winogrande": "LM Harness task" | |
| }, | |
| "summary_tasks": { | |
| "harness|arc:challenge|25": { | |
| "hashes": { | |
| "hash_examples": "17b0cae357c0259e", | |
| "hash_full_prompts": "045cbb916e5145c6", | |
| "hash_input_tokens": "c84bbabff7655573", | |
| "hash_cont_tokens": "e23c779c4c2dd1ec" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 1172, | |
| "padded": 4682, | |
| "non_padded": 5, | |
| "effective_few_shots": 25.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "harness|hellaswag|10": { | |
| "hashes": { | |
| "hash_examples": "e1768ecb99d7ecf0", | |
| "hash_full_prompts": "0b4c16983130f84f", | |
| "hash_input_tokens": "52e70aa3670e3695", | |
| "hash_cont_tokens": "55da5ba61989a8fe" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 10042, | |
| "padded": 40097, | |
| "non_padded": 71, | |
| "effective_few_shots": 10.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "harness|hendrycksTest-abstract_algebra|5": { | |
| "hashes": { | |
| "hash_examples": "280f9f325b40559a", | |
| "hash_full_prompts": "2f776a367d23aea2", | |
| "hash_input_tokens": "085f405a873c9f87", | |
| "hash_cont_tokens": "bcc22fd85dcc85e9" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 100, | |
| "padded": 400, | |
| "non_padded": 0, | |
| "effective_few_shots": 5.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "harness|hendrycksTest-anatomy|5": { | |
| "hashes": { | |
| "hash_examples": "2f83a4f1cab4ba18", | |
| "hash_full_prompts": "516f74bef25df620", | |
| "hash_input_tokens": "3b492ddc5de3f57a", | |
| "hash_cont_tokens": "5cc800feae9fa1ad" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 135, | |
| "padded": 540, | |
| "non_padded": 0, | |
| "effective_few_shots": 5.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "harness|hendrycksTest-astronomy|5": { | |
| "hashes": { | |
| "hash_examples": "7d587b908da4d762", | |
| "hash_full_prompts": "faf4e80f65de93ca", | |
| "hash_input_tokens": "aa55e6645b3f3526", | |
| "hash_cont_tokens": "655dbb90034f484a" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 152, | |
| "padded": 608, | |
| "non_padded": 0, | |
| "effective_few_shots": 5.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "harness|hendrycksTest-business_ethics|5": { | |
| "hashes": { | |
| "hash_examples": "33e51740670de686", | |
| "hash_full_prompts": "db01c3ef8e1479d4", | |
| "hash_input_tokens": "5f80d5327a047022", | |
| "hash_cont_tokens": "bcc22fd85dcc85e9" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 100, | |
| "padded": 400, | |
| "non_padded": 0, | |
| "effective_few_shots": 5.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "harness|hendrycksTest-clinical_knowledge|5": { | |
| "hashes": { | |
| "hash_examples": "f3366dbe7eefffa4", | |
| "hash_full_prompts": "49654f71d94b65c3", | |
| "hash_input_tokens": "c0a3ae71b5506278", | |
| "hash_cont_tokens": "f77b74d946d7fc02" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 265, | |
| "padded": 1060, | |
| "non_padded": 0, | |
| "effective_few_shots": 5.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "harness|hendrycksTest-college_biology|5": { | |
| "hashes": { | |
| "hash_examples": "ca2b6753a0193e7f", | |
| "hash_full_prompts": "2b460b75f1fdfefd", | |
| "hash_input_tokens": "6fcc5fb2ad3a62b5", | |
| "hash_cont_tokens": "1ba4b1a158d8bf3f" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 144, | |
| "padded": 576, | |
| "non_padded": 0, | |
| "effective_few_shots": 5.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "harness|hendrycksTest-college_chemistry|5": { | |
| "hashes": { | |
| "hash_examples": "22ff85f1d34f42d1", | |
| "hash_full_prompts": "242c9be6da583e95", | |
| "hash_input_tokens": "b3c5950ef0ab5b9f", | |
| "hash_cont_tokens": "bcc22fd85dcc85e9" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 100, | |
| "padded": 400, | |
| "non_padded": 0, | |
| "effective_few_shots": 5.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "harness|hendrycksTest-college_computer_science|5": { | |
| "hashes": { | |
| "hash_examples": "30318289d717a5cf", | |
| "hash_full_prompts": "ed2bdb4e87c4b371", | |
| "hash_input_tokens": "d4b18e1debc64387", | |
| "hash_cont_tokens": "bcc22fd85dcc85e9" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 100, | |
| "padded": 400, | |
| "non_padded": 0, | |
| "effective_few_shots": 5.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "harness|hendrycksTest-college_mathematics|5": { | |
| "hashes": { | |
| "hash_examples": "4944d1f0b6b5d911", | |
| "hash_full_prompts": "770bc4281c973190", | |
| "hash_input_tokens": "78289261a74f39aa", | |
| "hash_cont_tokens": "bcc22fd85dcc85e9" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 100, | |
| "padded": 400, | |
| "non_padded": 0, | |
| "effective_few_shots": 5.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "harness|hendrycksTest-college_medicine|5": { | |
| "hashes": { | |
| "hash_examples": "dd69cc33381275af", | |
| "hash_full_prompts": "ad2a53e5250ab46e", | |
| "hash_input_tokens": "5449a8e432780f7f", | |
| "hash_cont_tokens": "78a0ebf66d91c5cf" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 173, | |
| "padded": 692, | |
| "non_padded": 0, | |
| "effective_few_shots": 5.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "harness|hendrycksTest-college_physics|5": { | |
| "hashes": { | |
| "hash_examples": "875dd26d22655b0d", | |
| "hash_full_prompts": "833a0d7b55aed500", | |
| "hash_input_tokens": "b55be981de130fed", | |
| "hash_cont_tokens": "5a030c95824fdbe5" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 102, | |
| "padded": 408, | |
| "non_padded": 0, | |
| "effective_few_shots": 5.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "harness|hendrycksTest-computer_security|5": { | |
| "hashes": { | |
| "hash_examples": "006451eedc0ededb", | |
| "hash_full_prompts": "94034c97e85d8f46", | |
| "hash_input_tokens": "b39d36783fd07415", | |
| "hash_cont_tokens": "bcc22fd85dcc85e9" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 100, | |
| "padded": 400, | |
| "non_padded": 0, | |
| "effective_few_shots": 5.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "harness|hendrycksTest-conceptual_physics|5": { | |
| "hashes": { | |
| "hash_examples": "8874ece872d2ca4c", | |
| "hash_full_prompts": "e40d15a34640d6fa", | |
| "hash_input_tokens": "90db261ac05081a8", | |
| "hash_cont_tokens": "2326dc60d0bc41b6" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 235, | |
| "padded": 940, | |
| "non_padded": 0, | |
| "effective_few_shots": 5.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "harness|hendrycksTest-econometrics|5": { | |
| "hashes": { | |
| "hash_examples": "64d3623b0bfaa43f", | |
| "hash_full_prompts": "612f340fae41338d", | |
| "hash_input_tokens": "3b6ab5e66082a68d", | |
| "hash_cont_tokens": "be908364b6f14dd6" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 114, | |
| "padded": 456, | |
| "non_padded": 0, | |
| "effective_few_shots": 5.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "harness|hendrycksTest-electrical_engineering|5": { | |
| "hashes": { | |
| "hash_examples": "e98f51780c674d7e", | |
| "hash_full_prompts": "10275b312d812ae6", | |
| "hash_input_tokens": "a8e0453f990ff5aa", | |
| "hash_cont_tokens": "179280ef597fe1bf" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 145, | |
| "padded": 564, | |
| "non_padded": 16, | |
| "effective_few_shots": 5.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "harness|hendrycksTest-elementary_mathematics|5": { | |
| "hashes": { | |
| "hash_examples": "fc48208a5ac1c0ce", | |
| "hash_full_prompts": "5ec274c6c82aca23", | |
| "hash_input_tokens": "9e30d3a741143c4a", | |
| "hash_cont_tokens": "95cdcdaf1abd0bd2" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 378, | |
| "padded": 1512, | |
| "non_padded": 0, | |
| "effective_few_shots": 5.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "harness|hendrycksTest-formal_logic|5": { | |
| "hashes": { | |
| "hash_examples": "5a6525665f63ea72", | |
| "hash_full_prompts": "07b92638c4a6b500", | |
| "hash_input_tokens": "06838690ab0d64b9", | |
| "hash_cont_tokens": "6a4818f3c307c346" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 126, | |
| "padded": 504, | |
| "non_padded": 0, | |
| "effective_few_shots": 5.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "harness|hendrycksTest-global_facts|5": { | |
| "hashes": { | |
| "hash_examples": "371d70d743b2b89b", | |
| "hash_full_prompts": "332fdee50a1921b4", | |
| "hash_input_tokens": "50dc8670e216ba78", | |
| "hash_cont_tokens": "bcc22fd85dcc85e9" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 100, | |
| "padded": 400, | |
| "non_padded": 0, | |
| "effective_few_shots": 5.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "harness|hendrycksTest-high_school_biology|5": { | |
| "hashes": { | |
| "hash_examples": "a79e1018b1674052", | |
| "hash_full_prompts": "e624e26ede922561", | |
| "hash_input_tokens": "0097a3c431b4fc51", | |
| "hash_cont_tokens": "36d0d84455f0bdba" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 310, | |
| "padded": 1240, | |
| "non_padded": 0, | |
| "effective_few_shots": 5.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "harness|hendrycksTest-high_school_chemistry|5": { | |
| "hashes": { | |
| "hash_examples": "44bfc25c389f0e03", | |
| "hash_full_prompts": "0e3e5f5d9246482a", | |
| "hash_input_tokens": "75f3de0dad7830bc", | |
| "hash_cont_tokens": "c678f794a9b8ee74" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 203, | |
| "padded": 812, | |
| "non_padded": 0, | |
| "effective_few_shots": 5.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "harness|hendrycksTest-high_school_computer_science|5": { | |
| "hashes": { | |
| "hash_examples": "8b8cdb1084f24169", | |
| "hash_full_prompts": "c00487e67c1813cc", | |
| "hash_input_tokens": "bc373cd584fa942b", | |
| "hash_cont_tokens": "bcc22fd85dcc85e9" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 100, | |
| "padded": 400, | |
| "non_padded": 0, | |
| "effective_few_shots": 5.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "harness|hendrycksTest-high_school_european_history|5": { | |
| "hashes": { | |
| "hash_examples": "11cd32d0ef440171", | |
| "hash_full_prompts": "318f4513c537c6bf", | |
| "hash_input_tokens": "507c0abd3d17fd8f", | |
| "hash_cont_tokens": "e9c94304326d875c" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 165, | |
| "padded": 656, | |
| "non_padded": 4, | |
| "effective_few_shots": 5.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "harness|hendrycksTest-high_school_geography|5": { | |
| "hashes": { | |
| "hash_examples": "b60019b9e80b642f", | |
| "hash_full_prompts": "ee5789fcc1a81b1e", | |
| "hash_input_tokens": "a8ab4dfafa4f65b4", | |
| "hash_cont_tokens": "f937a1349eb483eb" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 198, | |
| "padded": 792, | |
| "non_padded": 0, | |
| "effective_few_shots": 5.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "harness|hendrycksTest-high_school_government_and_politics|5": { | |
| "hashes": { | |
| "hash_examples": "d221ec983d143dc3", | |
| "hash_full_prompts": "ac42d888e1ce1155", | |
| "hash_input_tokens": "e33171fd6e0b4a9c", | |
| "hash_cont_tokens": "8b27dd3907d25b4e" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 193, | |
| "padded": 772, | |
| "non_padded": 0, | |
| "effective_few_shots": 5.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "harness|hendrycksTest-high_school_macroeconomics|5": { | |
| "hashes": { | |
| "hash_examples": "59c2915cacfd3fbb", | |
| "hash_full_prompts": "c6bd9d25158abd0e", | |
| "hash_input_tokens": "f3319223cf191987", | |
| "hash_cont_tokens": "3763cae29e2f938c" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 390, | |
| "padded": 1560, | |
| "non_padded": 0, | |
| "effective_few_shots": 5.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "harness|hendrycksTest-high_school_mathematics|5": { | |
| "hashes": { | |
| "hash_examples": "1f8ac897608de342", | |
| "hash_full_prompts": "5d88f41fc2d643a8", | |
| "hash_input_tokens": "2f08fbb89a3a31b0", | |
| "hash_cont_tokens": "fd7b555352d765a4" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 270, | |
| "padded": 1080, | |
| "non_padded": 0, | |
| "effective_few_shots": 5.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "harness|hendrycksTest-high_school_microeconomics|5": { | |
| "hashes": { | |
| "hash_examples": "ead6a0f2f6c83370", | |
| "hash_full_prompts": "bfc393381298609e", | |
| "hash_input_tokens": "d2ff2b6e81f3e039", | |
| "hash_cont_tokens": "61f46d4a209b9aa2" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 238, | |
| "padded": 952, | |
| "non_padded": 0, | |
| "effective_few_shots": 5.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "harness|hendrycksTest-high_school_physics|5": { | |
| "hashes": { | |
| "hash_examples": "c3f2025990afec64", | |
| "hash_full_prompts": "fc78b4997e436734", | |
| "hash_input_tokens": "dd50a9b81a6e14a2", | |
| "hash_cont_tokens": "4e7053e7c19d680d" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 151, | |
| "padded": 604, | |
| "non_padded": 0, | |
| "effective_few_shots": 5.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "harness|hendrycksTest-high_school_psychology|5": { | |
| "hashes": { | |
| "hash_examples": "21f8aab618f6d636", | |
| "hash_full_prompts": "d5c76aa40b9dbc43", | |
| "hash_input_tokens": "d5f514e075b8a310", | |
| "hash_cont_tokens": "84d19ae8790476bb" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 545, | |
| "padded": 2180, | |
| "non_padded": 0, | |
| "effective_few_shots": 5.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "harness|hendrycksTest-high_school_statistics|5": { | |
| "hashes": { | |
| "hash_examples": "2386a60a11fc5de3", | |
| "hash_full_prompts": "4c5c8be5aafac432", | |
| "hash_input_tokens": "3faf848f9d19cb14", | |
| "hash_cont_tokens": "b119c7b668213a4e" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 216, | |
| "padded": 864, | |
| "non_padded": 0, | |
| "effective_few_shots": 5.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "harness|hendrycksTest-high_school_us_history|5": { | |
| "hashes": { | |
| "hash_examples": "74961543be40f04f", | |
| "hash_full_prompts": "5d5ca4840131ba21", | |
| "hash_input_tokens": "dafa7c29ee53148d", | |
| "hash_cont_tokens": "a3b126bc622d571f" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 204, | |
| "padded": 816, | |
| "non_padded": 0, | |
| "effective_few_shots": 5.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "harness|hendrycksTest-high_school_world_history|5": { | |
| "hashes": { | |
| "hash_examples": "2ad2f6b7198b2234", | |
| "hash_full_prompts": "11845057459afd72", | |
| "hash_input_tokens": "f3f7c0cb054a9101", | |
| "hash_cont_tokens": "9abf19ceb76331ff" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 237, | |
| "padded": 948, | |
| "non_padded": 0, | |
| "effective_few_shots": 5.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "harness|hendrycksTest-human_aging|5": { | |
| "hashes": { | |
| "hash_examples": "1a7199dc733e779b", | |
| "hash_full_prompts": "756b9096b8eaf892", | |
| "hash_input_tokens": "ee334f2be12733c8", | |
| "hash_cont_tokens": "0e2e725ae9a898da" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 223, | |
| "padded": 892, | |
| "non_padded": 0, | |
| "effective_few_shots": 5.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "harness|hendrycksTest-human_sexuality|5": { | |
| "hashes": { | |
| "hash_examples": "7acb8fdad97f88a6", | |
| "hash_full_prompts": "731a52ff15b8cfdb", | |
| "hash_input_tokens": "a9997011eacb1c14", | |
| "hash_cont_tokens": "a94c1dea6d775249" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 131, | |
| "padded": 524, | |
| "non_padded": 0, | |
| "effective_few_shots": 5.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "harness|hendrycksTest-international_law|5": { | |
| "hashes": { | |
| "hash_examples": "1300bfd0dfc59114", | |
| "hash_full_prompts": "db2aefbff5eec996", | |
| "hash_input_tokens": "5e065bb834e5eb5f", | |
| "hash_cont_tokens": "3832f860859bb86b" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 121, | |
| "padded": 484, | |
| "non_padded": 0, | |
| "effective_few_shots": 5.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "harness|hendrycksTest-jurisprudence|5": { | |
| "hashes": { | |
| "hash_examples": "083b1e4904c48dc2", | |
| "hash_full_prompts": "0f89ee3fe03d6a21", | |
| "hash_input_tokens": "6694a4e4327a0eee", | |
| "hash_cont_tokens": "9fac5a0c364fca8a" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 108, | |
| "padded": 432, | |
| "non_padded": 0, | |
| "effective_few_shots": 5.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "harness|hendrycksTest-logical_fallacies|5": { | |
| "hashes": { | |
| "hash_examples": "709128f9926a634c", | |
| "hash_full_prompts": "98a04b1f8f841069", | |
| "hash_input_tokens": "630193f0a85c4db4", | |
| "hash_cont_tokens": "dc53ed31134ddf3a" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 163, | |
| "padded": 644, | |
| "non_padded": 8, | |
| "effective_few_shots": 5.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "harness|hendrycksTest-machine_learning|5": { | |
| "hashes": { | |
| "hash_examples": "88f22a636029ae47", | |
| "hash_full_prompts": "2e1c8d4b1e0cc921", | |
| "hash_input_tokens": "481eec60fca7d379", | |
| "hash_cont_tokens": "e272b5456d5552d6" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 112, | |
| "padded": 448, | |
| "non_padded": 0, | |
| "effective_few_shots": 5.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "harness|hendrycksTest-management|5": { | |
| "hashes": { | |
| "hash_examples": "8c8a1e07a2151dca", | |
| "hash_full_prompts": "f51611f514b265b0", | |
| "hash_input_tokens": "5e29b566e42d5c49", | |
| "hash_cont_tokens": "7119d4642957b1f0" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 103, | |
| "padded": 412, | |
| "non_padded": 0, | |
| "effective_few_shots": 5.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "harness|hendrycksTest-marketing|5": { | |
| "hashes": { | |
| "hash_examples": "2668953431f91e96", | |
| "hash_full_prompts": "77562bef997c7650", | |
| "hash_input_tokens": "abc950328f30685d", | |
| "hash_cont_tokens": "099d58c66ece3f11" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 234, | |
| "padded": 936, | |
| "non_padded": 0, | |
| "effective_few_shots": 5.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "harness|hendrycksTest-medical_genetics|5": { | |
| "hashes": { | |
| "hash_examples": "9c2dda34a2ea4fd2", | |
| "hash_full_prompts": "202139046daa118f", | |
| "hash_input_tokens": "7b7f0526063c20bd", | |
| "hash_cont_tokens": "bcc22fd85dcc85e9" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 100, | |
| "padded": 400, | |
| "non_padded": 0, | |
| "effective_few_shots": 5.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "harness|hendrycksTest-miscellaneous|5": { | |
| "hashes": { | |
| "hash_examples": "41adb694024809c2", | |
| "hash_full_prompts": "bffec9fc237bcf93", | |
| "hash_input_tokens": "2f35d509e71e13d9", | |
| "hash_cont_tokens": "bae342d4e82ba8f7" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 783, | |
| "padded": 3132, | |
| "non_padded": 0, | |
| "effective_few_shots": 5.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "harness|hendrycksTest-moral_disputes|5": { | |
| "hashes": { | |
| "hash_examples": "3171c13ba3c594c4", | |
| "hash_full_prompts": "170831fc36f1d59e", | |
| "hash_input_tokens": "a1fe66c367aec9a4", | |
| "hash_cont_tokens": "578c64cbdbb1e0d4" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 346, | |
| "padded": 1384, | |
| "non_padded": 0, | |
| "effective_few_shots": 5.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "harness|hendrycksTest-moral_scenarios|5": { | |
| "hashes": { | |
| "hash_examples": "9873e077e83e0546", | |
| "hash_full_prompts": "08f4ceba3131a068", | |
| "hash_input_tokens": "477794fff20bb51b", | |
| "hash_cont_tokens": "79b25f42b3fce0f9" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 895, | |
| "padded": 3580, | |
| "non_padded": 0, | |
| "effective_few_shots": 5.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "harness|hendrycksTest-nutrition|5": { | |
| "hashes": { | |
| "hash_examples": "7db1d8142ec14323", | |
| "hash_full_prompts": "4c0e68e3586cb453", | |
| "hash_input_tokens": "f0035147162e2914", | |
| "hash_cont_tokens": "9d1f3b976417156c" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 306, | |
| "padded": 1224, | |
| "non_padded": 0, | |
| "effective_few_shots": 5.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "harness|hendrycksTest-philosophy|5": { | |
| "hashes": { | |
| "hash_examples": "9b455b7d72811cc8", | |
| "hash_full_prompts": "e467f822d8a0d3ff", | |
| "hash_input_tokens": "afde0a4bb78262a8", | |
| "hash_cont_tokens": "88dab560e1e06d97" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 311, | |
| "padded": 1244, | |
| "non_padded": 0, | |
| "effective_few_shots": 5.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "harness|hendrycksTest-prehistory|5": { | |
| "hashes": { | |
| "hash_examples": "8be90d0f538f1560", | |
| "hash_full_prompts": "152187949bcd0921", | |
| "hash_input_tokens": "80cbaf9c72217b9b", | |
| "hash_cont_tokens": "04ea847139fe9393" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 324, | |
| "padded": 1296, | |
| "non_padded": 0, | |
| "effective_few_shots": 5.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "harness|hendrycksTest-professional_accounting|5": { | |
| "hashes": { | |
| "hash_examples": "8d377597916cd07e", | |
| "hash_full_prompts": "0eb7345d6144ee0d", | |
| "hash_input_tokens": "34fa03402fe143e2", | |
| "hash_cont_tokens": "0435ff692ad17e68" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 282, | |
| "padded": 1124, | |
| "non_padded": 4, | |
| "effective_few_shots": 5.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "harness|hendrycksTest-professional_law|5": { | |
| "hashes": { | |
| "hash_examples": "cd9dbc52b3c932d6", | |
| "hash_full_prompts": "36ac764272bfb182", | |
| "hash_input_tokens": "970559d2709d7dfb", | |
| "hash_cont_tokens": "b852c74e9f8801bd" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 1534, | |
| "padded": 6136, | |
| "non_padded": 0, | |
| "effective_few_shots": 5.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "harness|hendrycksTest-professional_medicine|5": { | |
| "hashes": { | |
| "hash_examples": "b20e4e816c1e383e", | |
| "hash_full_prompts": "7b8d69ea2acaf2f7", | |
| "hash_input_tokens": "e6bad9d3d227482c", | |
| "hash_cont_tokens": "5db0f6460652d063" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 272, | |
| "padded": 1088, | |
| "non_padded": 0, | |
| "effective_few_shots": 5.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "harness|hendrycksTest-professional_psychology|5": { | |
| "hashes": { | |
| "hash_examples": "d45b73b22f9cc039", | |
| "hash_full_prompts": "fe8937e9ffc99771", | |
| "hash_input_tokens": "5915ac075f743cd6", | |
| "hash_cont_tokens": "c960676ef7f3dbe5" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 612, | |
| "padded": 2448, | |
| "non_padded": 0, | |
| "effective_few_shots": 5.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "harness|hendrycksTest-public_relations|5": { | |
| "hashes": { | |
| "hash_examples": "0d25072e1761652a", | |
| "hash_full_prompts": "f9adc39cfa9f42ba", | |
| "hash_input_tokens": "abdaa0333725e504", | |
| "hash_cont_tokens": "3320565f412c4b01" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 110, | |
| "padded": 440, | |
| "non_padded": 0, | |
| "effective_few_shots": 5.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "harness|hendrycksTest-security_studies|5": { | |
| "hashes": { | |
| "hash_examples": "62bb8197e63d60d4", | |
| "hash_full_prompts": "869c9c3ae196b7c3", | |
| "hash_input_tokens": "5e5e21ce02813577", | |
| "hash_cont_tokens": "218ed775ef60aab9" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 245, | |
| "padded": 980, | |
| "non_padded": 0, | |
| "effective_few_shots": 5.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "harness|hendrycksTest-sociology|5": { | |
| "hashes": { | |
| "hash_examples": "e7959df87dea8672", | |
| "hash_full_prompts": "1a1fc00e17b3a52a", | |
| "hash_input_tokens": "74f6e50f8da04eb6", | |
| "hash_cont_tokens": "20babf5cc4cc7f3d" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 201, | |
| "padded": 804, | |
| "non_padded": 0, | |
| "effective_few_shots": 5.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "harness|hendrycksTest-us_foreign_policy|5": { | |
| "hashes": { | |
| "hash_examples": "4a56a01ddca44dca", | |
| "hash_full_prompts": "0c7a7081c71c07b6", | |
| "hash_input_tokens": "4234573f54827f4f", | |
| "hash_cont_tokens": "bcc22fd85dcc85e9" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 100, | |
| "padded": 400, | |
| "non_padded": 0, | |
| "effective_few_shots": 5.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "harness|hendrycksTest-virology|5": { | |
| "hashes": { | |
| "hash_examples": "451cc86a8c4f4fe9", | |
| "hash_full_prompts": "01e95325d8b738e4", | |
| "hash_input_tokens": "d8f9c3d810f8d6f2", | |
| "hash_cont_tokens": "dc6d57296bea0882" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 166, | |
| "padded": 664, | |
| "non_padded": 0, | |
| "effective_few_shots": 5.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "harness|hendrycksTest-world_religions|5": { | |
| "hashes": { | |
| "hash_examples": "3b29cfaf1a81c379", | |
| "hash_full_prompts": "e0d79a15083dfdff", | |
| "hash_input_tokens": "a96ae58b7a2f1010", | |
| "hash_cont_tokens": "37f53444db289ed3" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 171, | |
| "padded": 684, | |
| "non_padded": 0, | |
| "effective_few_shots": 5.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "harness|truthfulqa:mc|0": { | |
| "hashes": { | |
| "hash_examples": "23176c0531c7b867", | |
| "hash_full_prompts": "36a6d90e75d92d4a", | |
| "hash_input_tokens": "4214b9bf45e97067", | |
| "hash_cont_tokens": "71a67034827cd30e" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 817, | |
| "padded": 9996, | |
| "non_padded": 0, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "harness|winogrande|5": { | |
| "hashes": { | |
| "hash_examples": "aada0a176fd81218", | |
| "hash_full_prompts": "c8655cbd12de8409", | |
| "hash_input_tokens": "a7eeaad96f70499b", | |
| "hash_cont_tokens": "c93e9c22fa3077a0" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 1267, | |
| "padded": 2534, | |
| "non_padded": 0, | |
| "effective_few_shots": 5.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "harness|gsm8k|5": { | |
| "hashes": { | |
| "hash_examples": "4c0843a5d99bcfdc", | |
| "hash_full_prompts": "41d55e83abc0e02d", | |
| "hash_input_tokens": "d488b9ef001d40f5", | |
| "hash_cont_tokens": "aea45cbb40c2da31" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 1319, | |
| "padded": 0, | |
| "non_padded": 1319, | |
| "effective_few_shots": 5.0, | |
| "num_truncated_few_shots": 0 | |
| } | |
| }, | |
| "summary_general": { | |
| "hashes": { | |
| "hash_examples": "3b7fa57a057f9415", | |
| "hash_full_prompts": "63615fc50fc9417c", | |
| "hash_input_tokens": "f525e4fba6bb528d", | |
| "hash_cont_tokens": "e374ab625c2f86a6" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 28659, | |
| "padded": 113445, | |
| "non_padded": 1427, | |
| "num_truncated_few_shots": 0 | |
| } | |
| } |