results / AIFT /AIFT-ko-orca-plat-Yi-ko-6b-v1.2-dpo /result_2024-01-24 01:11:44.json
open-ko-llm-bot's picture
Add results for 2024-01-24 01:11:44
abe2f9e verified
raw
history blame
17.8 kB
{
"results": {
"harness|ko_arc_challenge|25": {
"acc": 0.3412969283276451,
"acc_stderr": 0.013855831287497731,
"acc_norm": 0.3856655290102389,
"acc_norm_stderr": 0.014224250973257182
},
"harness|ko_hellaswag|10": {
"acc": 0.3950408285202151,
"acc_stderr": 0.004878603699686037,
"acc_norm": 0.5263891655048795,
"acc_norm_stderr": 0.004982826916687145
},
"harness|ko_mmlu_world_religions|5": {
"acc": 0.49707602339181284,
"acc_stderr": 0.03834759370936839,
"acc_norm": 0.49707602339181284,
"acc_norm_stderr": 0.03834759370936839
},
"harness|ko_mmlu_management|5": {
"acc": 0.5922330097087378,
"acc_stderr": 0.04865777570410769,
"acc_norm": 0.5922330097087378,
"acc_norm_stderr": 0.04865777570410769
},
"harness|ko_mmlu_miscellaneous|5": {
"acc": 0.5146871008939975,
"acc_stderr": 0.01787224802442912,
"acc_norm": 0.5146871008939975,
"acc_norm_stderr": 0.01787224802442912
},
"harness|ko_mmlu_anatomy|5": {
"acc": 0.5037037037037037,
"acc_stderr": 0.04319223625811331,
"acc_norm": 0.5037037037037037,
"acc_norm_stderr": 0.04319223625811331
},
"harness|ko_mmlu_abstract_algebra|5": {
"acc": 0.32,
"acc_stderr": 0.04688261722621502,
"acc_norm": 0.32,
"acc_norm_stderr": 0.04688261722621502
},
"harness|ko_mmlu_conceptual_physics|5": {
"acc": 0.42127659574468085,
"acc_stderr": 0.03227834510146267,
"acc_norm": 0.42127659574468085,
"acc_norm_stderr": 0.03227834510146267
},
"harness|ko_mmlu_virology|5": {
"acc": 0.37349397590361444,
"acc_stderr": 0.03765845117168863,
"acc_norm": 0.37349397590361444,
"acc_norm_stderr": 0.03765845117168863
},
"harness|ko_mmlu_philosophy|5": {
"acc": 0.5080385852090032,
"acc_stderr": 0.028394421370984545,
"acc_norm": 0.5080385852090032,
"acc_norm_stderr": 0.028394421370984545
},
"harness|ko_mmlu_human_aging|5": {
"acc": 0.43946188340807174,
"acc_stderr": 0.03331092511038179,
"acc_norm": 0.43946188340807174,
"acc_norm_stderr": 0.03331092511038179
},
"harness|ko_mmlu_human_sexuality|5": {
"acc": 0.4351145038167939,
"acc_stderr": 0.04348208051644858,
"acc_norm": 0.4351145038167939,
"acc_norm_stderr": 0.04348208051644858
},
"harness|ko_mmlu_medical_genetics|5": {
"acc": 0.42,
"acc_stderr": 0.04960449637488583,
"acc_norm": 0.42,
"acc_norm_stderr": 0.04960449637488583
},
"harness|ko_mmlu_high_school_geography|5": {
"acc": 0.5606060606060606,
"acc_stderr": 0.035360859475294805,
"acc_norm": 0.5606060606060606,
"acc_norm_stderr": 0.035360859475294805
},
"harness|ko_mmlu_electrical_engineering|5": {
"acc": 0.45517241379310347,
"acc_stderr": 0.04149886942192117,
"acc_norm": 0.45517241379310347,
"acc_norm_stderr": 0.04149886942192117
},
"harness|ko_mmlu_college_physics|5": {
"acc": 0.17647058823529413,
"acc_stderr": 0.03793281185307809,
"acc_norm": 0.17647058823529413,
"acc_norm_stderr": 0.03793281185307809
},
"harness|ko_mmlu_high_school_microeconomics|5": {
"acc": 0.47478991596638653,
"acc_stderr": 0.0324371805513741,
"acc_norm": 0.47478991596638653,
"acc_norm_stderr": 0.0324371805513741
},
"harness|ko_mmlu_high_school_macroeconomics|5": {
"acc": 0.4205128205128205,
"acc_stderr": 0.025028610276710855,
"acc_norm": 0.4205128205128205,
"acc_norm_stderr": 0.025028610276710855
},
"harness|ko_mmlu_computer_security|5": {
"acc": 0.59,
"acc_stderr": 0.049431107042371025,
"acc_norm": 0.59,
"acc_norm_stderr": 0.049431107042371025
},
"harness|ko_mmlu_global_facts|5": {
"acc": 0.32,
"acc_stderr": 0.04688261722621504,
"acc_norm": 0.32,
"acc_norm_stderr": 0.04688261722621504
},
"harness|ko_mmlu_jurisprudence|5": {
"acc": 0.5,
"acc_stderr": 0.04833682445228318,
"acc_norm": 0.5,
"acc_norm_stderr": 0.04833682445228318
},
"harness|ko_mmlu_high_school_chemistry|5": {
"acc": 0.35467980295566504,
"acc_stderr": 0.03366124489051448,
"acc_norm": 0.35467980295566504,
"acc_norm_stderr": 0.03366124489051448
},
"harness|ko_mmlu_high_school_biology|5": {
"acc": 0.4161290322580645,
"acc_stderr": 0.02804098138076155,
"acc_norm": 0.4161290322580645,
"acc_norm_stderr": 0.02804098138076155
},
"harness|ko_mmlu_marketing|5": {
"acc": 0.6581196581196581,
"acc_stderr": 0.03107502852650775,
"acc_norm": 0.6581196581196581,
"acc_norm_stderr": 0.03107502852650775
},
"harness|ko_mmlu_clinical_knowledge|5": {
"acc": 0.44528301886792454,
"acc_stderr": 0.030588052974270655,
"acc_norm": 0.44528301886792454,
"acc_norm_stderr": 0.030588052974270655
},
"harness|ko_mmlu_public_relations|5": {
"acc": 0.4727272727272727,
"acc_stderr": 0.04782001791380063,
"acc_norm": 0.4727272727272727,
"acc_norm_stderr": 0.04782001791380063
},
"harness|ko_mmlu_high_school_mathematics|5": {
"acc": 0.2814814814814815,
"acc_stderr": 0.027420019350945273,
"acc_norm": 0.2814814814814815,
"acc_norm_stderr": 0.027420019350945273
},
"harness|ko_mmlu_high_school_physics|5": {
"acc": 0.31125827814569534,
"acc_stderr": 0.03780445850526733,
"acc_norm": 0.31125827814569534,
"acc_norm_stderr": 0.03780445850526733
},
"harness|ko_mmlu_sociology|5": {
"acc": 0.5472636815920398,
"acc_stderr": 0.03519702717576915,
"acc_norm": 0.5472636815920398,
"acc_norm_stderr": 0.03519702717576915
},
"harness|ko_mmlu_college_medicine|5": {
"acc": 0.3930635838150289,
"acc_stderr": 0.03724249595817729,
"acc_norm": 0.3930635838150289,
"acc_norm_stderr": 0.03724249595817729
},
"harness|ko_mmlu_elementary_mathematics|5": {
"acc": 0.30423280423280424,
"acc_stderr": 0.023695415009463087,
"acc_norm": 0.30423280423280424,
"acc_norm_stderr": 0.023695415009463087
},
"harness|ko_mmlu_college_biology|5": {
"acc": 0.375,
"acc_stderr": 0.04048439222695598,
"acc_norm": 0.375,
"acc_norm_stderr": 0.04048439222695598
},
"harness|ko_mmlu_college_chemistry|5": {
"acc": 0.26,
"acc_stderr": 0.04408440022768079,
"acc_norm": 0.26,
"acc_norm_stderr": 0.04408440022768079
},
"harness|ko_mmlu_us_foreign_policy|5": {
"acc": 0.53,
"acc_stderr": 0.050161355804659205,
"acc_norm": 0.53,
"acc_norm_stderr": 0.050161355804659205
},
"harness|ko_mmlu_moral_disputes|5": {
"acc": 0.48554913294797686,
"acc_stderr": 0.026907849856282542,
"acc_norm": 0.48554913294797686,
"acc_norm_stderr": 0.026907849856282542
},
"harness|ko_mmlu_logical_fallacies|5": {
"acc": 0.4049079754601227,
"acc_stderr": 0.03856672163548914,
"acc_norm": 0.4049079754601227,
"acc_norm_stderr": 0.03856672163548914
},
"harness|ko_mmlu_prehistory|5": {
"acc": 0.49074074074074076,
"acc_stderr": 0.027815973433878014,
"acc_norm": 0.49074074074074076,
"acc_norm_stderr": 0.027815973433878014
},
"harness|ko_mmlu_college_mathematics|5": {
"acc": 0.36,
"acc_stderr": 0.04824181513244218,
"acc_norm": 0.36,
"acc_norm_stderr": 0.04824181513244218
},
"harness|ko_mmlu_high_school_government_and_politics|5": {
"acc": 0.5077720207253886,
"acc_stderr": 0.03608003225569654,
"acc_norm": 0.5077720207253886,
"acc_norm_stderr": 0.03608003225569654
},
"harness|ko_mmlu_econometrics|5": {
"acc": 0.3508771929824561,
"acc_stderr": 0.044895393502706986,
"acc_norm": 0.3508771929824561,
"acc_norm_stderr": 0.044895393502706986
},
"harness|ko_mmlu_high_school_psychology|5": {
"acc": 0.5431192660550459,
"acc_stderr": 0.021357458785226227,
"acc_norm": 0.5431192660550459,
"acc_norm_stderr": 0.021357458785226227
},
"harness|ko_mmlu_formal_logic|5": {
"acc": 0.2619047619047619,
"acc_stderr": 0.03932537680392868,
"acc_norm": 0.2619047619047619,
"acc_norm_stderr": 0.03932537680392868
},
"harness|ko_mmlu_nutrition|5": {
"acc": 0.4477124183006536,
"acc_stderr": 0.02847293847803353,
"acc_norm": 0.4477124183006536,
"acc_norm_stderr": 0.02847293847803353
},
"harness|ko_mmlu_business_ethics|5": {
"acc": 0.49,
"acc_stderr": 0.05024183937956912,
"acc_norm": 0.49,
"acc_norm_stderr": 0.05024183937956912
},
"harness|ko_mmlu_international_law|5": {
"acc": 0.6115702479338843,
"acc_stderr": 0.04449270350068383,
"acc_norm": 0.6115702479338843,
"acc_norm_stderr": 0.04449270350068383
},
"harness|ko_mmlu_astronomy|5": {
"acc": 0.40131578947368424,
"acc_stderr": 0.039889037033362836,
"acc_norm": 0.40131578947368424,
"acc_norm_stderr": 0.039889037033362836
},
"harness|ko_mmlu_professional_psychology|5": {
"acc": 0.4084967320261438,
"acc_stderr": 0.019886221037501862,
"acc_norm": 0.4084967320261438,
"acc_norm_stderr": 0.019886221037501862
},
"harness|ko_mmlu_professional_accounting|5": {
"acc": 0.28368794326241137,
"acc_stderr": 0.02689170942834396,
"acc_norm": 0.28368794326241137,
"acc_norm_stderr": 0.02689170942834396
},
"harness|ko_mmlu_machine_learning|5": {
"acc": 0.26785714285714285,
"acc_stderr": 0.0420327729146776,
"acc_norm": 0.26785714285714285,
"acc_norm_stderr": 0.0420327729146776
},
"harness|ko_mmlu_high_school_statistics|5": {
"acc": 0.3148148148148148,
"acc_stderr": 0.031674687068289784,
"acc_norm": 0.3148148148148148,
"acc_norm_stderr": 0.031674687068289784
},
"harness|ko_mmlu_moral_scenarios|5": {
"acc": 0.27150837988826815,
"acc_stderr": 0.014874252168095285,
"acc_norm": 0.27150837988826815,
"acc_norm_stderr": 0.014874252168095285
},
"harness|ko_mmlu_college_computer_science|5": {
"acc": 0.29,
"acc_stderr": 0.04560480215720684,
"acc_norm": 0.29,
"acc_norm_stderr": 0.04560480215720684
},
"harness|ko_mmlu_high_school_computer_science|5": {
"acc": 0.48,
"acc_stderr": 0.050211673156867795,
"acc_norm": 0.48,
"acc_norm_stderr": 0.050211673156867795
},
"harness|ko_mmlu_professional_medicine|5": {
"acc": 0.3125,
"acc_stderr": 0.02815637344037142,
"acc_norm": 0.3125,
"acc_norm_stderr": 0.02815637344037142
},
"harness|ko_mmlu_security_studies|5": {
"acc": 0.363265306122449,
"acc_stderr": 0.030789051139030806,
"acc_norm": 0.363265306122449,
"acc_norm_stderr": 0.030789051139030806
},
"harness|ko_mmlu_high_school_world_history|5": {
"acc": 0.5485232067510548,
"acc_stderr": 0.0323936001739747,
"acc_norm": 0.5485232067510548,
"acc_norm_stderr": 0.0323936001739747
},
"harness|ko_mmlu_professional_law|5": {
"acc": 0.3226857887874837,
"acc_stderr": 0.011940264193195988,
"acc_norm": 0.3226857887874837,
"acc_norm_stderr": 0.011940264193195988
},
"harness|ko_mmlu_high_school_us_history|5": {
"acc": 0.4803921568627451,
"acc_stderr": 0.03506612560524866,
"acc_norm": 0.4803921568627451,
"acc_norm_stderr": 0.03506612560524866
},
"harness|ko_mmlu_high_school_european_history|5": {
"acc": 0.5515151515151515,
"acc_stderr": 0.038835659779569286,
"acc_norm": 0.5515151515151515,
"acc_norm_stderr": 0.038835659779569286
},
"harness|ko_truthfulqa_mc|0": {
"mc1": 0.2937576499388005,
"mc1_stderr": 0.015945068581236614,
"mc2": 0.4392108026993697,
"mc2_stderr": 0.015134967640839908
},
"harness|ko_commongen_v2|2": {
"acc": 0.5985832349468713,
"acc_stderr": 0.01685290785872906,
"acc_norm": 0.6340023612750886,
"acc_norm_stderr": 0.016561489664895714
}
},
"versions": {
"all": 0,
"harness|ko_arc_challenge|25": 0,
"harness|ko_hellaswag|10": 0,
"harness|ko_mmlu_world_religions|5": 1,
"harness|ko_mmlu_management|5": 1,
"harness|ko_mmlu_miscellaneous|5": 1,
"harness|ko_mmlu_anatomy|5": 1,
"harness|ko_mmlu_abstract_algebra|5": 1,
"harness|ko_mmlu_conceptual_physics|5": 1,
"harness|ko_mmlu_virology|5": 1,
"harness|ko_mmlu_philosophy|5": 1,
"harness|ko_mmlu_human_aging|5": 1,
"harness|ko_mmlu_human_sexuality|5": 1,
"harness|ko_mmlu_medical_genetics|5": 1,
"harness|ko_mmlu_high_school_geography|5": 1,
"harness|ko_mmlu_electrical_engineering|5": 1,
"harness|ko_mmlu_college_physics|5": 1,
"harness|ko_mmlu_high_school_microeconomics|5": 1,
"harness|ko_mmlu_high_school_macroeconomics|5": 1,
"harness|ko_mmlu_computer_security|5": 1,
"harness|ko_mmlu_global_facts|5": 1,
"harness|ko_mmlu_jurisprudence|5": 1,
"harness|ko_mmlu_high_school_chemistry|5": 1,
"harness|ko_mmlu_high_school_biology|5": 1,
"harness|ko_mmlu_marketing|5": 1,
"harness|ko_mmlu_clinical_knowledge|5": 1,
"harness|ko_mmlu_public_relations|5": 1,
"harness|ko_mmlu_high_school_mathematics|5": 1,
"harness|ko_mmlu_high_school_physics|5": 1,
"harness|ko_mmlu_sociology|5": 1,
"harness|ko_mmlu_college_medicine|5": 1,
"harness|ko_mmlu_elementary_mathematics|5": 1,
"harness|ko_mmlu_college_biology|5": 1,
"harness|ko_mmlu_college_chemistry|5": 1,
"harness|ko_mmlu_us_foreign_policy|5": 1,
"harness|ko_mmlu_moral_disputes|5": 1,
"harness|ko_mmlu_logical_fallacies|5": 1,
"harness|ko_mmlu_prehistory|5": 1,
"harness|ko_mmlu_college_mathematics|5": 1,
"harness|ko_mmlu_high_school_government_and_politics|5": 1,
"harness|ko_mmlu_econometrics|5": 1,
"harness|ko_mmlu_high_school_psychology|5": 1,
"harness|ko_mmlu_formal_logic|5": 1,
"harness|ko_mmlu_nutrition|5": 1,
"harness|ko_mmlu_business_ethics|5": 1,
"harness|ko_mmlu_international_law|5": 1,
"harness|ko_mmlu_astronomy|5": 1,
"harness|ko_mmlu_professional_psychology|5": 1,
"harness|ko_mmlu_professional_accounting|5": 1,
"harness|ko_mmlu_machine_learning|5": 1,
"harness|ko_mmlu_high_school_statistics|5": 1,
"harness|ko_mmlu_moral_scenarios|5": 1,
"harness|ko_mmlu_college_computer_science|5": 1,
"harness|ko_mmlu_high_school_computer_science|5": 1,
"harness|ko_mmlu_professional_medicine|5": 1,
"harness|ko_mmlu_security_studies|5": 1,
"harness|ko_mmlu_high_school_world_history|5": 1,
"harness|ko_mmlu_professional_law|5": 1,
"harness|ko_mmlu_high_school_us_history|5": 1,
"harness|ko_mmlu_high_school_european_history|5": 1,
"harness|ko_truthfulqa_mc|0": 0,
"harness|ko_commongen_v2|2": 1
},
"config_general": {
"model_name": "AIFT/AIFT-ko-orca-plat-Yi-ko-6b-v1.2-dpo",
"model_sha": "815ca795b9f43380b4161a7834835d744a7ceb2e",
"model_dtype": "torch.float16",
"lighteval_sha": "",
"num_few_shot_default": 0,
"num_fewshot_seeds": 1,
"override_batch_size": 1,
"max_samples": null
}
}