ld_results / baichuan-inc /results_2024-05-19-01-56-52_Baichuan2-7B-Chat.json
lvkaokao
sync results.
7be779d
{
"config_general": {
"lighteval_sha": "1.4",
"num_few_shot_default": null,
"num_fewshot_seeds": null,
"override_batch_size": null,
"max_samples": null,
"job_id": "-1",
"start_time": "",
"end_time": "",
"total_evaluation_time_secondes": "",
"model_name": "baichuan-inc/Baichuan2-7B-Chat",
"model_sha": "",
"model_dtype": "16bit",
"model_size": 14.0,
"model_params": 7.0,
"quant_type": null,
"precision": "16bit"
},
"results": {
"harness|boolq|0": {
"acc,none": 0.7944954128440367,
"acc_stderr,none": 0.007067226281166813,
"alias": "boolq"
},
"harness|winogrande|0": {
"acc,none": 0.6890292028413575,
"acc_stderr,none": 0.013009534736286065,
"alias": "winogrande"
},
"harness|truthfulqa:mc2|0": {
"acc,none": 0.48030646232709184,
"acc_stderr,none": 0.015505707499723619,
"alias": "truthfulqa_mc2"
},
"harness|arc:easy|0": {
"acc,none": 0.7281144781144782,
"acc_stderr,none": 0.009129795867310489,
"acc_norm,none": 0.6738215488215489,
"acc_norm_stderr,none": 0.00961984941703517,
"alias": "arc_easy"
},
"harness|mmlu|0": {
"acc,none": 0.5081897165645919,
"acc_stderr,none": 0.00403078396182327,
"alias": "mmlu"
},
"harness|mmlu_humanities|0": {
"alias": " - humanities",
"acc,none": 0.4667375132837407,
"acc_stderr,none": 0.006905658217429286
},
"harness|mmlu_formal_logic|0": {
"alias": " - formal_logic",
"acc,none": 0.3253968253968254,
"acc_stderr,none": 0.041905964388711366
},
"harness|mmlu_high_school_european_history|0": {
"alias": " - high_school_european_history",
"acc,none": 0.6666666666666666,
"acc_stderr,none": 0.03681050869161551
},
"harness|mmlu_high_school_us_history|0": {
"alias": " - high_school_us_history",
"acc,none": 0.6911764705882353,
"acc_stderr,none": 0.03242661719827218
},
"harness|mmlu_high_school_world_history|0": {
"alias": " - high_school_world_history",
"acc,none": 0.7215189873417721,
"acc_stderr,none": 0.029178682304842548
},
"harness|mmlu_international_law|0": {
"alias": " - international_law",
"acc,none": 0.6033057851239669,
"acc_stderr,none": 0.04465869780531009
},
"harness|mmlu_jurisprudence|0": {
"alias": " - jurisprudence",
"acc,none": 0.6296296296296297,
"acc_stderr,none": 0.04668408033024931
},
"harness|mmlu_logical_fallacies|0": {
"alias": " - logical_fallacies",
"acc,none": 0.6380368098159509,
"acc_stderr,none": 0.037757007291414416
},
"harness|mmlu_moral_disputes|0": {
"alias": " - moral_disputes",
"acc,none": 0.5086705202312138,
"acc_stderr,none": 0.026915047355369804
},
"harness|mmlu_moral_scenarios|0": {
"alias": " - moral_scenarios",
"acc,none": 0.2446927374301676,
"acc_stderr,none": 0.014378169884098417
},
"harness|mmlu_philosophy|0": {
"alias": " - philosophy",
"acc,none": 0.5819935691318328,
"acc_stderr,none": 0.028013651891995076
},
"harness|mmlu_prehistory|0": {
"alias": " - prehistory",
"acc,none": 0.5833333333333334,
"acc_stderr,none": 0.027431623722415012
},
"harness|mmlu_professional_law|0": {
"alias": " - professional_law",
"acc,none": 0.39048239895697523,
"acc_stderr,none": 0.01246013591394507
},
"harness|mmlu_world_religions|0": {
"alias": " - world_religions",
"acc,none": 0.7251461988304093,
"acc_stderr,none": 0.03424042924691584
},
"harness|mmlu_other|0": {
"alias": " - other",
"acc,none": 0.5857740585774058,
"acc_stderr,none": 0.008555060777709587
},
"harness|mmlu_business_ethics|0": {
"alias": " - business_ethics",
"acc,none": 0.56,
"acc_stderr,none": 0.04988876515698589
},
"harness|mmlu_clinical_knowledge|0": {
"alias": " - clinical_knowledge",
"acc,none": 0.539622641509434,
"acc_stderr,none": 0.03067609659938918
},
"harness|mmlu_college_medicine|0": {
"alias": " - college_medicine",
"acc,none": 0.5028901734104047,
"acc_stderr,none": 0.03812400565974833
},
"harness|mmlu_global_facts|0": {
"alias": " - global_facts",
"acc,none": 0.37,
"acc_stderr,none": 0.04852365870939099
},
"harness|mmlu_human_aging|0": {
"alias": " - human_aging",
"acc,none": 0.5515695067264574,
"acc_stderr,none": 0.03337883736255098
},
"harness|mmlu_management|0": {
"alias": " - management",
"acc,none": 0.6407766990291263,
"acc_stderr,none": 0.04750458399041694
},
"harness|mmlu_marketing|0": {
"alias": " - marketing",
"acc,none": 0.7905982905982906,
"acc_stderr,none": 0.026655699653922737
},
"harness|mmlu_medical_genetics|0": {
"alias": " - medical_genetics",
"acc,none": 0.54,
"acc_stderr,none": 0.05009082659620332
},
"harness|mmlu_miscellaneous|0": {
"alias": " - miscellaneous",
"acc,none": 0.7279693486590039,
"acc_stderr,none": 0.015913367447500514
},
"harness|mmlu_nutrition|0": {
"alias": " - nutrition",
"acc,none": 0.5784313725490197,
"acc_stderr,none": 0.02827549015679145
},
"harness|mmlu_professional_accounting|0": {
"alias": " - professional_accounting",
"acc,none": 0.3617021276595745,
"acc_stderr,none": 0.028663820147199495
},
"harness|mmlu_professional_medicine|0": {
"alias": " - professional_medicine",
"acc,none": 0.5183823529411765,
"acc_stderr,none": 0.03035230339535196
},
"harness|mmlu_virology|0": {
"alias": " - virology",
"acc,none": 0.4759036144578313,
"acc_stderr,none": 0.03887971849597264
},
"harness|mmlu_social_sciences|0": {
"alias": " - social_sciences",
"acc,none": 0.5823854403639909,
"acc_stderr,none": 0.008655563334160593
},
"harness|mmlu_econometrics|0": {
"alias": " - econometrics",
"acc,none": 0.2719298245614035,
"acc_stderr,none": 0.04185774424022056
},
"harness|mmlu_high_school_geography|0": {
"alias": " - high_school_geography",
"acc,none": 0.6767676767676768,
"acc_stderr,none": 0.033322999210706444
},
"harness|mmlu_high_school_government_and_politics|0": {
"alias": " - high_school_government_and_politics",
"acc,none": 0.7202072538860104,
"acc_stderr,none": 0.03239637046735704
},
"harness|mmlu_high_school_macroeconomics|0": {
"alias": " - high_school_macroeconomics",
"acc,none": 0.4717948717948718,
"acc_stderr,none": 0.025310639254933886
},
"harness|mmlu_high_school_microeconomics|0": {
"alias": " - high_school_microeconomics",
"acc,none": 0.5168067226890757,
"acc_stderr,none": 0.03246013680375308
},
"harness|mmlu_high_school_psychology|0": {
"alias": " - high_school_psychology",
"acc,none": 0.6990825688073394,
"acc_stderr,none": 0.019664751366802114
},
"harness|mmlu_human_sexuality|0": {
"alias": " - human_sexuality",
"acc,none": 0.6412213740458015,
"acc_stderr,none": 0.04206739313864908
},
"harness|mmlu_professional_psychology|0": {
"alias": " - professional_psychology",
"acc,none": 0.47549019607843135,
"acc_stderr,none": 0.020203517280261447
},
"harness|mmlu_public_relations|0": {
"alias": " - public_relations",
"acc,none": 0.6454545454545455,
"acc_stderr,none": 0.04582004841505417
},
"harness|mmlu_security_studies|0": {
"alias": " - security_studies",
"acc,none": 0.5836734693877551,
"acc_stderr,none": 0.03155782816556164
},
"harness|mmlu_sociology|0": {
"alias": " - sociology",
"acc,none": 0.6915422885572139,
"acc_stderr,none": 0.03265819588512697
},
"harness|mmlu_us_foreign_policy|0": {
"alias": " - us_foreign_policy",
"acc,none": 0.72,
"acc_stderr,none": 0.04512608598542128
},
"harness|mmlu_stem|0": {
"alias": " - stem",
"acc,none": 0.421186171899778,
"acc_stderr,none": 0.008581265933096034
},
"harness|mmlu_abstract_algebra|0": {
"alias": " - abstract_algebra",
"acc,none": 0.3,
"acc_stderr,none": 0.046056618647183814
},
"harness|mmlu_anatomy|0": {
"alias": " - anatomy",
"acc,none": 0.4888888888888889,
"acc_stderr,none": 0.04318275491977976
},
"harness|mmlu_astronomy|0": {
"alias": " - astronomy",
"acc,none": 0.5460526315789473,
"acc_stderr,none": 0.04051646342874143
},
"harness|mmlu_college_biology|0": {
"alias": " - college_biology",
"acc,none": 0.5138888888888888,
"acc_stderr,none": 0.04179596617581
},
"harness|mmlu_college_chemistry|0": {
"alias": " - college_chemistry",
"acc,none": 0.39,
"acc_stderr,none": 0.04902071300001975
},
"harness|mmlu_college_computer_science|0": {
"alias": " - college_computer_science",
"acc,none": 0.51,
"acc_stderr,none": 0.05024183937956912
},
"harness|mmlu_college_mathematics|0": {
"alias": " - college_mathematics",
"acc,none": 0.3,
"acc_stderr,none": 0.046056618647183814
},
"harness|mmlu_college_physics|0": {
"alias": " - college_physics",
"acc,none": 0.3431372549019608,
"acc_stderr,none": 0.04724007352383889
},
"harness|mmlu_computer_security|0": {
"alias": " - computer_security",
"acc,none": 0.61,
"acc_stderr,none": 0.04902071300001975
},
"harness|mmlu_conceptual_physics|0": {
"alias": " - conceptual_physics",
"acc,none": 0.42127659574468085,
"acc_stderr,none": 0.03227834510146267
},
"harness|mmlu_electrical_engineering|0": {
"alias": " - electrical_engineering",
"acc,none": 0.42758620689655175,
"acc_stderr,none": 0.04122737111370333
},
"harness|mmlu_elementary_mathematics|0": {
"alias": " - elementary_mathematics",
"acc,none": 0.29365079365079366,
"acc_stderr,none": 0.023456037383982026
},
"harness|mmlu_high_school_biology|0": {
"alias": " - high_school_biology",
"acc,none": 0.6096774193548387,
"acc_stderr,none": 0.027751256636969576
},
"harness|mmlu_high_school_chemistry|0": {
"alias": " - high_school_chemistry",
"acc,none": 0.4187192118226601,
"acc_stderr,none": 0.03471192860518468
},
"harness|mmlu_high_school_computer_science|0": {
"alias": " - high_school_computer_science",
"acc,none": 0.52,
"acc_stderr,none": 0.05021167315686779
},
"harness|mmlu_high_school_mathematics|0": {
"alias": " - high_school_mathematics",
"acc,none": 0.2518518518518518,
"acc_stderr,none": 0.026466117538959912
},
"harness|mmlu_high_school_physics|0": {
"alias": " - high_school_physics",
"acc,none": 0.33774834437086093,
"acc_stderr,none": 0.03861557546255169
},
"harness|mmlu_high_school_statistics|0": {
"alias": " - high_school_statistics",
"acc,none": 0.4861111111111111,
"acc_stderr,none": 0.03408655867977749
},
"harness|mmlu_machine_learning|0": {
"alias": " - machine_learning",
"acc,none": 0.33035714285714285,
"acc_stderr,none": 0.04464285714285712
},
"harness|openbookqa|0": {
"acc,none": 0.304,
"acc_stderr,none": 0.020591649571224932,
"acc_norm,none": 0.4,
"acc_norm_stderr,none": 0.0219308441207285,
"alias": "openbookqa"
},
"harness|arc:challenge|0": {
"acc,none": 0.41552901023890787,
"acc_stderr,none": 0.014401366641216388,
"acc_norm,none": 0.4274744027303754,
"acc_norm_stderr,none": 0.014456862944650649,
"alias": "arc_challenge"
},
"harness|lambada:openai|0": {
"perplexity,none": 3.8826424326698503,
"perplexity_stderr,none": 0.10891554165574925,
"acc,none": 0.6755288181641762,
"acc_stderr,none": 0.006522620011589219,
"alias": "lambada_openai"
},
"harness|hellaswag|0": {
"acc,none": 0.5373431587333201,
"acc_stderr,none": 0.00497584533508662,
"acc_norm,none": 0.7159928301135232,
"acc_norm_stderr,none": 0.004500186424443732,
"alias": "hellaswag"
},
"harness|truthfulqa:mc1|0": {
"acc,none": 0.31211750305997554,
"acc_stderr,none": 0.016220756769520936,
"alias": "truthfulqa_mc1"
},
"harness|piqa|0": {
"acc,none": 0.7464635473340587,
"acc_stderr,none": 0.01015009083455177,
"acc_norm,none": 0.7377584330794341,
"acc_norm_stderr,none": 0.010262502565172447,
"alias": "piqa"
}
},
"task_info": {
"model": "baichuan-inc/Baichuan2-7B-Chat",
"revision": "main",
"private": false,
"params": 7.0,
"architectures": "BaichuanForCausalLM",
"quant_type": null,
"precision": "16bit",
"model_params": 7.0,
"model_size": 14.0,
"weight_dtype": "bfloat16",
"compute_dtype": "float16",
"gguf_ftype": "*Q4_0.gguf",
"hardware": "gpu",
"status": "Pending",
"submitted_time": "2024-04-27T08:04:58Z",
"model_type": "original",
"job_id": -1,
"job_start_time": null,
"scripts": "ITREX"
},
"quantization_config": null,
"versions": {
"harness|boolq|0": 2.0,
"harness|winogrande|0": 1.0,
"harness|truthfulqa:mc2|0": 2.0,
"harness|arc:easy|0": 1.0,
"harness|mmlu|0": null,
"harness|mmlu_humanities|0": null,
"harness|mmlu_formal_logic|0": 0.0,
"harness|mmlu_high_school_european_history|0": 0.0,
"harness|mmlu_high_school_us_history|0": 0.0,
"harness|mmlu_high_school_world_history|0": 0.0,
"harness|mmlu_international_law|0": 0.0,
"harness|mmlu_jurisprudence|0": 0.0,
"harness|mmlu_logical_fallacies|0": 0.0,
"harness|mmlu_moral_disputes|0": 0.0,
"harness|mmlu_moral_scenarios|0": 0.0,
"harness|mmlu_philosophy|0": 0.0,
"harness|mmlu_prehistory|0": 0.0,
"harness|mmlu_professional_law|0": 0.0,
"harness|mmlu_world_religions|0": 0.0,
"harness|mmlu_other|0": null,
"harness|mmlu_business_ethics|0": 0.0,
"harness|mmlu_clinical_knowledge|0": 0.0,
"harness|mmlu_college_medicine|0": 0.0,
"harness|mmlu_global_facts|0": 0.0,
"harness|mmlu_human_aging|0": 0.0,
"harness|mmlu_management|0": 0.0,
"harness|mmlu_marketing|0": 0.0,
"harness|mmlu_medical_genetics|0": 0.0,
"harness|mmlu_miscellaneous|0": 0.0,
"harness|mmlu_nutrition|0": 0.0,
"harness|mmlu_professional_accounting|0": 0.0,
"harness|mmlu_professional_medicine|0": 0.0,
"harness|mmlu_virology|0": 0.0,
"harness|mmlu_social_sciences|0": null,
"harness|mmlu_econometrics|0": 0.0,
"harness|mmlu_high_school_geography|0": 0.0,
"harness|mmlu_high_school_government_and_politics|0": 0.0,
"harness|mmlu_high_school_macroeconomics|0": 0.0,
"harness|mmlu_high_school_microeconomics|0": 0.0,
"harness|mmlu_high_school_psychology|0": 0.0,
"harness|mmlu_human_sexuality|0": 0.0,
"harness|mmlu_professional_psychology|0": 0.0,
"harness|mmlu_public_relations|0": 0.0,
"harness|mmlu_security_studies|0": 0.0,
"harness|mmlu_sociology|0": 0.0,
"harness|mmlu_us_foreign_policy|0": 0.0,
"harness|mmlu_stem|0": null,
"harness|mmlu_abstract_algebra|0": 0.0,
"harness|mmlu_anatomy|0": 0.0,
"harness|mmlu_astronomy|0": 0.0,
"harness|mmlu_college_biology|0": 0.0,
"harness|mmlu_college_chemistry|0": 0.0,
"harness|mmlu_college_computer_science|0": 0.0,
"harness|mmlu_college_mathematics|0": 0.0,
"harness|mmlu_college_physics|0": 0.0,
"harness|mmlu_computer_security|0": 0.0,
"harness|mmlu_conceptual_physics|0": 0.0,
"harness|mmlu_electrical_engineering|0": 0.0,
"harness|mmlu_elementary_mathematics|0": 0.0,
"harness|mmlu_high_school_biology|0": 0.0,
"harness|mmlu_high_school_chemistry|0": 0.0,
"harness|mmlu_high_school_computer_science|0": 0.0,
"harness|mmlu_high_school_mathematics|0": 0.0,
"harness|mmlu_high_school_physics|0": 0.0,
"harness|mmlu_high_school_statistics|0": 0.0,
"harness|mmlu_machine_learning|0": 0.0,
"harness|openbookqa|0": 1.0,
"harness|arc:challenge|0": 1.0,
"harness|lambada:openai|0": 1.0,
"harness|hellaswag|0": 1.0,
"harness|truthfulqa:mc1|0": 2.0,
"harness|piqa|0": 1.0
},
"n-shot": {
"arc_challenge": 0,
"arc_easy": 0,
"boolq": 0,
"hellaswag": 0,
"lambada_openai": 0,
"mmlu": 0,
"mmlu_abstract_algebra": 0,
"mmlu_anatomy": 0,
"mmlu_astronomy": 0,
"mmlu_business_ethics": 0,
"mmlu_clinical_knowledge": 0,
"mmlu_college_biology": 0,
"mmlu_college_chemistry": 0,
"mmlu_college_computer_science": 0,
"mmlu_college_mathematics": 0,
"mmlu_college_medicine": 0,
"mmlu_college_physics": 0,
"mmlu_computer_security": 0,
"mmlu_conceptual_physics": 0,
"mmlu_econometrics": 0,
"mmlu_electrical_engineering": 0,
"mmlu_elementary_mathematics": 0,
"mmlu_formal_logic": 0,
"mmlu_global_facts": 0,
"mmlu_high_school_biology": 0,
"mmlu_high_school_chemistry": 0,
"mmlu_high_school_computer_science": 0,
"mmlu_high_school_european_history": 0,
"mmlu_high_school_geography": 0,
"mmlu_high_school_government_and_politics": 0,
"mmlu_high_school_macroeconomics": 0,
"mmlu_high_school_mathematics": 0,
"mmlu_high_school_microeconomics": 0,
"mmlu_high_school_physics": 0,
"mmlu_high_school_psychology": 0,
"mmlu_high_school_statistics": 0,
"mmlu_high_school_us_history": 0,
"mmlu_high_school_world_history": 0,
"mmlu_human_aging": 0,
"mmlu_human_sexuality": 0,
"mmlu_humanities": 0,
"mmlu_international_law": 0,
"mmlu_jurisprudence": 0,
"mmlu_logical_fallacies": 0,
"mmlu_machine_learning": 0,
"mmlu_management": 0,
"mmlu_marketing": 0,
"mmlu_medical_genetics": 0,
"mmlu_miscellaneous": 0,
"mmlu_moral_disputes": 0,
"mmlu_moral_scenarios": 0,
"mmlu_nutrition": 0,
"mmlu_other": 0,
"mmlu_philosophy": 0,
"mmlu_prehistory": 0,
"mmlu_professional_accounting": 0,
"mmlu_professional_law": 0,
"mmlu_professional_medicine": 0,
"mmlu_professional_psychology": 0,
"mmlu_public_relations": 0,
"mmlu_security_studies": 0,
"mmlu_social_sciences": 0,
"mmlu_sociology": 0,
"mmlu_stem": 0,
"mmlu_us_foreign_policy": 0,
"mmlu_virology": 0,
"mmlu_world_religions": 0,
"openbookqa": 0,
"piqa": 0,
"truthfulqa_mc1": 0,
"truthfulqa_mc2": 0,
"winogrande": 0
},
"date": 1716051791.9998326,
"config": {
"model": "hf",
"model_args": "pretrained=baichuan-inc/Baichuan2-7B-Chat,trust_remote_code=True,dtype=float16,_commit_hash=main",
"batch_size": 4,
"batch_sizes": [],
"device": "cuda",
"use_cache": null,
"limit": null,
"bootstrap_iters": 100000,
"gen_kwargs": null
}
}