ld_results / Qwen /results_2024-05-19-02-59-07_Qwen1.5-7B-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": "Qwen/Qwen1.5-7B-Chat",
"model_sha": "",
"model_dtype": "16bit",
"model_size": 15.44,
"model_params": 7.72,
"quant_type": null,
"precision": "16bit"
},
"results": {
"harness|boolq|0": {
"acc,none": 0.8385321100917431,
"acc_stderr,none": 0.006435695291658146,
"alias": "boolq"
},
"harness|hellaswag|0": {
"acc,none": 0.5876319458275244,
"acc_stderr,none": 0.004912547040132872,
"acc_norm,none": 0.7700657239593707,
"acc_norm_stderr,none": 0.004199303568134895,
"alias": "hellaswag"
},
"harness|piqa|0": {
"acc,none": 0.7535364526659413,
"acc_stderr,none": 0.010054810789671825,
"acc_norm,none": 0.7600652883569097,
"acc_norm_stderr,none": 0.009963625892809544,
"alias": "piqa"
},
"harness|lambada:openai|0": {
"perplexity,none": 5.447365580615996,
"perplexity_stderr,none": 0.1829804797972089,
"acc,none": 0.609353774500291,
"acc_stderr,none": 0.006797334493142832,
"alias": "lambada_openai"
},
"harness|arc:easy|0": {
"acc,none": 0.6847643097643098,
"acc_stderr,none": 0.009533589368505844,
"acc_norm,none": 0.6334175084175084,
"acc_norm_stderr,none": 0.009887786585323955,
"alias": "arc_easy"
},
"harness|arc:challenge|0": {
"acc,none": 0.43430034129692835,
"acc_stderr,none": 0.014484703048857359,
"acc_norm,none": 0.4513651877133106,
"acc_norm_stderr,none": 0.014542104569955262,
"alias": "arc_challenge"
},
"harness|mmlu|0": {
"acc,none": 0.6009115510611024,
"acc_stderr,none": 0.0039547457776823065,
"alias": "mmlu"
},
"harness|mmlu_humanities|0": {
"alias": " - humanities",
"acc,none": 0.5509032943676939,
"acc_stderr,none": 0.006910815710445093
},
"harness|mmlu_formal_logic|0": {
"alias": " - formal_logic",
"acc,none": 0.42063492063492064,
"acc_stderr,none": 0.04415438226743744
},
"harness|mmlu_high_school_european_history|0": {
"alias": " - high_school_european_history",
"acc,none": 0.7515151515151515,
"acc_stderr,none": 0.033744026441394036
},
"harness|mmlu_high_school_us_history|0": {
"alias": " - high_school_us_history",
"acc,none": 0.7745098039215687,
"acc_stderr,none": 0.02933116229425173
},
"harness|mmlu_high_school_world_history|0": {
"alias": " - high_school_world_history",
"acc,none": 0.759493670886076,
"acc_stderr,none": 0.027820781981149678
},
"harness|mmlu_international_law|0": {
"alias": " - international_law",
"acc,none": 0.71900826446281,
"acc_stderr,none": 0.04103203830514512
},
"harness|mmlu_jurisprudence|0": {
"alias": " - jurisprudence",
"acc,none": 0.7777777777777778,
"acc_stderr,none": 0.040191074725573483
},
"harness|mmlu_logical_fallacies|0": {
"alias": " - logical_fallacies",
"acc,none": 0.6687116564417178,
"acc_stderr,none": 0.03697983910025588
},
"harness|mmlu_moral_disputes|0": {
"alias": " - moral_disputes",
"acc,none": 0.6705202312138728,
"acc_stderr,none": 0.025305258131879716
},
"harness|mmlu_moral_scenarios|0": {
"alias": " - moral_scenarios",
"acc,none": 0.36983240223463687,
"acc_stderr,none": 0.01614588125605621
},
"harness|mmlu_philosophy|0": {
"alias": " - philosophy",
"acc,none": 0.6881028938906752,
"acc_stderr,none": 0.02631185807185416
},
"harness|mmlu_prehistory|0": {
"alias": " - prehistory",
"acc,none": 0.6666666666666666,
"acc_stderr,none": 0.026229649178821157
},
"harness|mmlu_professional_law|0": {
"alias": " - professional_law",
"acc,none": 0.44132985658409385,
"acc_stderr,none": 0.012682016335646666
},
"harness|mmlu_world_religions|0": {
"alias": " - world_religions",
"acc,none": 0.7426900584795322,
"acc_stderr,none": 0.03352799844161865
},
"harness|mmlu_other|0": {
"alias": " - other",
"acc,none": 0.6649501126488574,
"acc_stderr,none": 0.008181942013523022
},
"harness|mmlu_business_ethics|0": {
"alias": " - business_ethics",
"acc,none": 0.64,
"acc_stderr,none": 0.048241815132442176
},
"harness|mmlu_clinical_knowledge|0": {
"alias": " - clinical_knowledge",
"acc,none": 0.6792452830188679,
"acc_stderr,none": 0.028727502957880263
},
"harness|mmlu_college_medicine|0": {
"alias": " - college_medicine",
"acc,none": 0.5838150289017341,
"acc_stderr,none": 0.03758517775404948
},
"harness|mmlu_global_facts|0": {
"alias": " - global_facts",
"acc,none": 0.37,
"acc_stderr,none": 0.048523658709391
},
"harness|mmlu_human_aging|0": {
"alias": " - human_aging",
"acc,none": 0.6367713004484304,
"acc_stderr,none": 0.032277904428505
},
"harness|mmlu_management|0": {
"alias": " - management",
"acc,none": 0.7669902912621359,
"acc_stderr,none": 0.04185832598928315
},
"harness|mmlu_marketing|0": {
"alias": " - marketing",
"acc,none": 0.8589743589743589,
"acc_stderr,none": 0.022801382534597518
},
"harness|mmlu_medical_genetics|0": {
"alias": " - medical_genetics",
"acc,none": 0.68,
"acc_stderr,none": 0.046882617226215034
},
"harness|mmlu_miscellaneous|0": {
"alias": " - miscellaneous",
"acc,none": 0.7701149425287356,
"acc_stderr,none": 0.015046301846691826
},
"harness|mmlu_nutrition|0": {
"alias": " - nutrition",
"acc,none": 0.6797385620915033,
"acc_stderr,none": 0.026716118380156847
},
"harness|mmlu_professional_accounting|0": {
"alias": " - professional_accounting",
"acc,none": 0.42907801418439717,
"acc_stderr,none": 0.029525914302558555
},
"harness|mmlu_professional_medicine|0": {
"alias": " - professional_medicine",
"acc,none": 0.6544117647058824,
"acc_stderr,none": 0.02888819310398864
},
"harness|mmlu_virology|0": {
"alias": " - virology",
"acc,none": 0.5060240963855421,
"acc_stderr,none": 0.03892212195333045
},
"harness|mmlu_social_sciences|0": {
"alias": " - social_sciences",
"acc,none": 0.6837829054273643,
"acc_stderr,none": 0.008207129729378173
},
"harness|mmlu_econometrics|0": {
"alias": " - econometrics",
"acc,none": 0.5263157894736842,
"acc_stderr,none": 0.046970851366478626
},
"harness|mmlu_high_school_geography|0": {
"alias": " - high_school_geography",
"acc,none": 0.7727272727272727,
"acc_stderr,none": 0.0298575156733864
},
"harness|mmlu_high_school_government_and_politics|0": {
"alias": " - high_school_government_and_politics",
"acc,none": 0.7927461139896373,
"acc_stderr,none": 0.02925282329180363
},
"harness|mmlu_high_school_macroeconomics|0": {
"alias": " - high_school_macroeconomics",
"acc,none": 0.5974358974358974,
"acc_stderr,none": 0.024864995159767752
},
"harness|mmlu_high_school_microeconomics|0": {
"alias": " - high_school_microeconomics",
"acc,none": 0.6428571428571429,
"acc_stderr,none": 0.031124619309328177
},
"harness|mmlu_high_school_psychology|0": {
"alias": " - high_school_psychology",
"acc,none": 0.8073394495412844,
"acc_stderr,none": 0.016909276884936084
},
"harness|mmlu_human_sexuality|0": {
"alias": " - human_sexuality",
"acc,none": 0.6870229007633588,
"acc_stderr,none": 0.04066962905677697
},
"harness|mmlu_professional_psychology|0": {
"alias": " - professional_psychology",
"acc,none": 0.5669934640522876,
"acc_stderr,none": 0.020045442473324227
},
"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": 0.6816326530612244,
"acc_stderr,none": 0.029822533793982066
},
"harness|mmlu_sociology|0": {
"alias": " - sociology",
"acc,none": 0.7810945273631841,
"acc_stderr,none": 0.029239174636647
},
"harness|mmlu_us_foreign_policy|0": {
"alias": " - us_foreign_policy",
"acc,none": 0.8,
"acc_stderr,none": 0.04020151261036845
},
"harness|mmlu_stem|0": {
"alias": " - stem",
"acc,none": 0.531557247066286,
"acc_stderr,none": 0.008642992258979928
},
"harness|mmlu_abstract_algebra|0": {
"alias": " - abstract_algebra",
"acc,none": 0.44,
"acc_stderr,none": 0.049888765156985884
},
"harness|mmlu_anatomy|0": {
"alias": " - anatomy",
"acc,none": 0.5481481481481482,
"acc_stderr,none": 0.04299268905480864
},
"harness|mmlu_astronomy|0": {
"alias": " - astronomy",
"acc,none": 0.6578947368421053,
"acc_stderr,none": 0.038607315993160904
},
"harness|mmlu_college_biology|0": {
"alias": " - college_biology",
"acc,none": 0.6319444444444444,
"acc_stderr,none": 0.04032999053960719
},
"harness|mmlu_college_chemistry|0": {
"alias": " - college_chemistry",
"acc,none": 0.43,
"acc_stderr,none": 0.049756985195624284
},
"harness|mmlu_college_computer_science|0": {
"alias": " - college_computer_science",
"acc,none": 0.61,
"acc_stderr,none": 0.04902071300001975
},
"harness|mmlu_college_mathematics|0": {
"alias": " - college_mathematics",
"acc,none": 0.36,
"acc_stderr,none": 0.048241815132442176
},
"harness|mmlu_college_physics|0": {
"alias": " - college_physics",
"acc,none": 0.38235294117647056,
"acc_stderr,none": 0.04835503696107224
},
"harness|mmlu_computer_security|0": {
"alias": " - computer_security",
"acc,none": 0.76,
"acc_stderr,none": 0.04292346959909282
},
"harness|mmlu_conceptual_physics|0": {
"alias": " - conceptual_physics",
"acc,none": 0.5531914893617021,
"acc_stderr,none": 0.0325005368436584
},
"harness|mmlu_electrical_engineering|0": {
"alias": " - electrical_engineering",
"acc,none": 0.5793103448275863,
"acc_stderr,none": 0.0411391498118926
},
"harness|mmlu_elementary_mathematics|0": {
"alias": " - elementary_mathematics",
"acc,none": 0.47354497354497355,
"acc_stderr,none": 0.025715239811346755
},
"harness|mmlu_high_school_biology|0": {
"alias": " - high_school_biology",
"acc,none": 0.7193548387096774,
"acc_stderr,none": 0.025560604721022895
},
"harness|mmlu_high_school_chemistry|0": {
"alias": " - high_school_chemistry",
"acc,none": 0.5517241379310345,
"acc_stderr,none": 0.03499113137676744
},
"harness|mmlu_high_school_computer_science|0": {
"alias": " - high_school_computer_science",
"acc,none": 0.72,
"acc_stderr,none": 0.04512608598542128
},
"harness|mmlu_high_school_mathematics|0": {
"alias": " - high_school_mathematics",
"acc,none": 0.35555555555555557,
"acc_stderr,none": 0.029185714949857406
},
"harness|mmlu_high_school_physics|0": {
"alias": " - high_school_physics",
"acc,none": 0.37748344370860926,
"acc_stderr,none": 0.0395802723112157
},
"harness|mmlu_high_school_statistics|0": {
"alias": " - high_school_statistics",
"acc,none": 0.5277777777777778,
"acc_stderr,none": 0.0340470532865388
},
"harness|mmlu_machine_learning|0": {
"alias": " - machine_learning",
"acc,none": 0.4017857142857143,
"acc_stderr,none": 0.04653333146973646
},
"harness|truthfulqa:mc2|0": {
"acc,none": 0.5354003964835502,
"acc_stderr,none": 0.01598976897007417,
"alias": "truthfulqa_mc2"
},
"harness|winogrande|0": {
"acc,none": 0.6527229676400947,
"acc_stderr,none": 0.013380909249751242,
"alias": "winogrande"
},
"harness|openbookqa|0": {
"acc,none": 0.324,
"acc_stderr,none": 0.020950557312477455,
"acc_norm,none": 0.426,
"acc_norm_stderr,none": 0.022136577335085637,
"alias": "openbookqa"
},
"harness|truthfulqa:mc1|0": {
"acc,none": 0.36107711138310894,
"acc_stderr,none": 0.016814312844836886,
"alias": "truthfulqa_mc1"
}
},
"task_info": {
"model": "Qwen/Qwen1.5-7B-Chat",
"revision": "main",
"private": false,
"params": 7.72,
"architectures": "Qwen2ForCausalLM",
"quant_type": null,
"precision": "16bit",
"model_params": 7.72,
"model_size": 15.44,
"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|hellaswag|0": 1.0,
"harness|piqa|0": 1.0,
"harness|lambada:openai|0": 1.0,
"harness|arc:easy|0": 1.0,
"harness|arc:challenge|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|truthfulqa:mc2|0": 2.0,
"harness|winogrande|0": 1.0,
"harness|openbookqa|0": 1.0,
"harness|truthfulqa:mc1|0": 2.0
},
"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": 1716055033.4916809,
"config": {
"model": "hf",
"model_args": "pretrained=Qwen/Qwen1.5-7B-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
}
}