ld_results / TheBloke /neural-chat-7B-v3-3-AWQ /results_2024-05-24-01-04-23.json
Xuehao's picture
Commit from Azure DevOps update Results
63ffc0a
raw
history blame
22.2 kB
{
"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": null,
"end_time": "2024-05-24-01-04-23",
"total_evaluation_time_secondes": "",
"model_name": "TheBloke/neural-chat-7B-v3-3-AWQ",
"model_sha": "",
"model_dtype": "4bit",
"model_size": 4.15,
"model_params": 7.04,
"quant_type": "AWQ",
"precision": "4bit"
},
"results": {
"harness|piqa|0": {
"acc,none": 0.8046789989118607,
"acc_stderr,none": 0.009249776222397593,
"acc_norm,none": 0.8193688792165397,
"acc_norm_stderr,none": 0.00897597103733803,
"alias": "piqa"
},
"harness|openbookqa|0": {
"acc,none": 0.388,
"acc_stderr,none": 0.021814300984787635,
"acc_norm,none": 0.462,
"acc_norm_stderr,none": 0.022318338119870523,
"alias": "openbookqa"
},
"harness|hellaswag|0": {
"acc,none": 0.655148376817367,
"acc_stderr,none": 0.004743484528346666,
"acc_norm,none": 0.8331009759012149,
"acc_norm_stderr,none": 0.0037212361965025054,
"alias": "hellaswag"
},
"harness|arc:challenge|0": {
"acc,none": 0.5622866894197952,
"acc_stderr,none": 0.01449757388110828,
"acc_norm,none": 0.5750853242320819,
"acc_norm_stderr,none": 0.014445698968520767,
"alias": "arc_challenge"
},
"harness|arc:easy|0": {
"acc,none": 0.8164983164983165,
"acc_stderr,none": 0.007942658063731468,
"acc_norm,none": 0.7588383838383839,
"acc_norm_stderr,none": 0.00877802737825802,
"alias": "arc_easy"
},
"harness|mmlu|0": {
"acc,none": 0.5893747329440251,
"acc_stderr,none": 0.0039019551919624797,
"alias": "mmlu"
},
"harness|mmlu_humanities|0": {
"alias": " - humanities",
"acc,none": 0.5330499468650371,
"acc_stderr,none": 0.0067882222033944966
},
"harness|mmlu_formal_logic|0": {
"alias": " - formal_logic",
"acc,none": 0.4365079365079365,
"acc_stderr,none": 0.04435932892851466
},
"harness|mmlu_high_school_european_history|0": {
"alias": " - high_school_european_history",
"acc,none": 0.7515151515151515,
"acc_stderr,none": 0.03374402644139404
},
"harness|mmlu_high_school_us_history|0": {
"alias": " - high_school_us_history",
"acc,none": 0.7745098039215687,
"acc_stderr,none": 0.029331162294251728
},
"harness|mmlu_high_school_world_history|0": {
"alias": " - high_school_world_history",
"acc,none": 0.8059071729957806,
"acc_stderr,none": 0.025744902532290927
},
"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": 0.7314814814814815,
"acc_stderr,none": 0.042844679680521934
},
"harness|mmlu_logical_fallacies|0": {
"alias": " - logical_fallacies",
"acc,none": 0.7239263803680982,
"acc_stderr,none": 0.035123852837050475
},
"harness|mmlu_moral_disputes|0": {
"alias": " - moral_disputes",
"acc,none": 0.630057803468208,
"acc_stderr,none": 0.025992472029306386
},
"harness|mmlu_moral_scenarios|0": {
"alias": " - moral_scenarios",
"acc,none": 0.28268156424581004,
"acc_stderr,none": 0.015060381730018089
},
"harness|mmlu_philosophy|0": {
"alias": " - philosophy",
"acc,none": 0.6688102893890675,
"acc_stderr,none": 0.02673062072800492
},
"harness|mmlu_prehistory|0": {
"alias": " - prehistory",
"acc,none": 0.6944444444444444,
"acc_stderr,none": 0.025630824975621334
},
"harness|mmlu_professional_law|0": {
"alias": " - professional_law",
"acc,none": 0.42894393741851367,
"acc_stderr,none": 0.012640625443067358
},
"harness|mmlu_world_religions|0": {
"alias": " - world_religions",
"acc,none": 0.783625730994152,
"acc_stderr,none": 0.031581495393387324
},
"harness|mmlu_other|0": {
"alias": " - other",
"acc,none": 0.6623752816221435,
"acc_stderr,none": 0.008140809701151079
},
"harness|mmlu_business_ethics|0": {
"alias": " - business_ethics",
"acc,none": 0.67,
"acc_stderr,none": 0.047258156262526094
},
"harness|mmlu_clinical_knowledge|0": {
"alias": " - clinical_knowledge",
"acc,none": 0.6377358490566037,
"acc_stderr,none": 0.0295822451283843
},
"harness|mmlu_college_medicine|0": {
"alias": " - college_medicine",
"acc,none": 0.5549132947976878,
"acc_stderr,none": 0.03789401760283647
},
"harness|mmlu_global_facts|0": {
"alias": " - global_facts",
"acc,none": 0.36,
"acc_stderr,none": 0.048241815132442176
},
"harness|mmlu_human_aging|0": {
"alias": " - human_aging",
"acc,none": 0.6591928251121076,
"acc_stderr,none": 0.0318114974705536
},
"harness|mmlu_management|0": {
"alias": " - management",
"acc,none": 0.7864077669902912,
"acc_stderr,none": 0.04058042015646033
},
"harness|mmlu_marketing|0": {
"alias": " - marketing",
"acc,none": 0.8504273504273504,
"acc_stderr,none": 0.02336505149175371
},
"harness|mmlu_medical_genetics|0": {
"alias": " - medical_genetics",
"acc,none": 0.66,
"acc_stderr,none": 0.04760952285695237
},
"harness|mmlu_miscellaneous|0": {
"alias": " - miscellaneous",
"acc,none": 0.7943805874840357,
"acc_stderr,none": 0.01445250045678583
},
"harness|mmlu_nutrition|0": {
"alias": " - nutrition",
"acc,none": 0.6895424836601307,
"acc_stderr,none": 0.026493033225145894
},
"harness|mmlu_professional_accounting|0": {
"alias": " - professional_accounting",
"acc,none": 0.425531914893617,
"acc_stderr,none": 0.02949482760014436
},
"harness|mmlu_professional_medicine|0": {
"alias": " - professional_medicine",
"acc,none": 0.6102941176470589,
"acc_stderr,none": 0.029624663581159696
},
"harness|mmlu_virology|0": {
"alias": " - virology",
"acc,none": 0.46987951807228917,
"acc_stderr,none": 0.03885425420866767
},
"harness|mmlu_social_sciences|0": {
"alias": " - social_sciences",
"acc,none": 0.6971075723106922,
"acc_stderr,none": 0.008081348268523797
},
"harness|mmlu_econometrics|0": {
"alias": " - econometrics",
"acc,none": 0.4473684210526316,
"acc_stderr,none": 0.04677473004491199
},
"harness|mmlu_high_school_geography|0": {
"alias": " - high_school_geography",
"acc,none": 0.6818181818181818,
"acc_stderr,none": 0.033184773338453315
},
"harness|mmlu_high_school_government_and_politics|0": {
"alias": " - high_school_government_and_politics",
"acc,none": 0.8290155440414507,
"acc_stderr,none": 0.027171213683164545
},
"harness|mmlu_high_school_macroeconomics|0": {
"alias": " - high_school_macroeconomics",
"acc,none": 0.5897435897435898,
"acc_stderr,none": 0.02493931390694079
},
"harness|mmlu_high_school_microeconomics|0": {
"alias": " - high_school_microeconomics",
"acc,none": 0.6638655462184874,
"acc_stderr,none": 0.030684737115135363
},
"harness|mmlu_high_school_psychology|0": {
"alias": " - high_school_psychology",
"acc,none": 0.818348623853211,
"acc_stderr,none": 0.016530617409266878
},
"harness|mmlu_human_sexuality|0": {
"alias": " - human_sexuality",
"acc,none": 0.7251908396946565,
"acc_stderr,none": 0.039153454088478354
},
"harness|mmlu_professional_psychology|0": {
"alias": " - professional_psychology",
"acc,none": 0.6111111111111112,
"acc_stderr,none": 0.019722058939618065
},
"harness|mmlu_public_relations|0": {
"alias": " - public_relations",
"acc,none": 0.6727272727272727,
"acc_stderr,none": 0.0449429086625209
},
"harness|mmlu_security_studies|0": {
"alias": " - security_studies",
"acc,none": 0.6979591836734694,
"acc_stderr,none": 0.0293936093198798
},
"harness|mmlu_sociology|0": {
"alias": " - sociology",
"acc,none": 0.8507462686567164,
"acc_stderr,none": 0.025196929874827054
},
"harness|mmlu_us_foreign_policy|0": {
"alias": " - us_foreign_policy",
"acc,none": 0.8,
"acc_stderr,none": 0.04020151261036844
},
"harness|mmlu_stem|0": {
"alias": " - stem",
"acc,none": 0.4963526799873137,
"acc_stderr,none": 0.008533338700097036
},
"harness|mmlu_abstract_algebra|0": {
"alias": " - abstract_algebra",
"acc,none": 0.22,
"acc_stderr,none": 0.041633319989322695
},
"harness|mmlu_anatomy|0": {
"alias": " - anatomy",
"acc,none": 0.562962962962963,
"acc_stderr,none": 0.042849586397534
},
"harness|mmlu_astronomy|0": {
"alias": " - astronomy",
"acc,none": 0.6710526315789473,
"acc_stderr,none": 0.03823428969926603
},
"harness|mmlu_college_biology|0": {
"alias": " - college_biology",
"acc,none": 0.6736111111111112,
"acc_stderr,none": 0.03921067198982266
},
"harness|mmlu_college_chemistry|0": {
"alias": " - college_chemistry",
"acc,none": 0.4,
"acc_stderr,none": 0.049236596391733084
},
"harness|mmlu_college_computer_science|0": {
"alias": " - college_computer_science",
"acc,none": 0.55,
"acc_stderr,none": 0.049999999999999996
},
"harness|mmlu_college_mathematics|0": {
"alias": " - college_mathematics",
"acc,none": 0.36,
"acc_stderr,none": 0.04824181513244218
},
"harness|mmlu_college_physics|0": {
"alias": " - college_physics",
"acc,none": 0.43137254901960786,
"acc_stderr,none": 0.04928099597287534
},
"harness|mmlu_computer_security|0": {
"alias": " - computer_security",
"acc,none": 0.67,
"acc_stderr,none": 0.04725815626252609
},
"harness|mmlu_conceptual_physics|0": {
"alias": " - conceptual_physics",
"acc,none": 0.5063829787234042,
"acc_stderr,none": 0.032683358999363366
},
"harness|mmlu_electrical_engineering|0": {
"alias": " - electrical_engineering",
"acc,none": 0.5655172413793104,
"acc_stderr,none": 0.04130740879555497
},
"harness|mmlu_elementary_mathematics|0": {
"alias": " - elementary_mathematics",
"acc,none": 0.373015873015873,
"acc_stderr,none": 0.02490699045899257
},
"harness|mmlu_high_school_biology|0": {
"alias": " - high_school_biology",
"acc,none": 0.7516129032258064,
"acc_stderr,none": 0.024580028921481
},
"harness|mmlu_high_school_chemistry|0": {
"alias": " - high_school_chemistry",
"acc,none": 0.43349753694581283,
"acc_stderr,none": 0.034867317274198714
},
"harness|mmlu_high_school_computer_science|0": {
"alias": " - high_school_computer_science",
"acc,none": 0.67,
"acc_stderr,none": 0.04725815626252609
},
"harness|mmlu_high_school_mathematics|0": {
"alias": " - high_school_mathematics",
"acc,none": 0.3037037037037037,
"acc_stderr,none": 0.028037929969114986
},
"harness|mmlu_high_school_physics|0": {
"alias": " - high_school_physics",
"acc,none": 0.33774834437086093,
"acc_stderr,none": 0.038615575462551684
},
"harness|mmlu_high_school_statistics|0": {
"alias": " - high_school_statistics",
"acc,none": 0.5231481481481481,
"acc_stderr,none": 0.03406315360711507
},
"harness|mmlu_machine_learning|0": {
"alias": " - machine_learning",
"acc,none": 0.44642857142857145,
"acc_stderr,none": 0.04718471485219588
},
"harness|winogrande|0": {
"acc,none": 0.7616416732438832,
"acc_stderr,none": 0.011974948667702302,
"alias": "winogrande"
},
"harness|boolq|0": {
"acc,none": 0.8660550458715597,
"acc_stderr,none": 0.005957011888260804,
"alias": "boolq"
},
"harness|truthfulqa:mc1|0": {
"acc,none": 0.47613219094247244,
"acc_stderr,none": 0.01748354715696157,
"alias": "truthfulqa_mc1"
},
"harness|lambada:openai|0": {
"perplexity,none": 3.4398137369791546,
"perplexity_stderr,none": 0.07782914675635923,
"acc,none": 0.7201630118377644,
"acc_stderr,none": 0.006254319132119307,
"alias": "lambada_openai"
},
"harness|truthfulqa:mc2|0": {
"acc,none": 0.6336761508460098,
"acc_stderr,none": 0.015232719212668116,
"alias": "truthfulqa_mc2"
}
},
"task_info": {
"model": "TheBloke/neural-chat-7B-v3-3-AWQ",
"revision": "main",
"private": false,
"params": 7.04,
"architectures": "MistralForCausalLM",
"quant_type": "AWQ",
"precision": "4bit",
"model_params": 7.04,
"model_size": 4.15,
"weight_dtype": "int4",
"compute_dtype": "float16",
"gguf_ftype": "*Q4_0.gguf",
"hardware": "gpu",
"status": "Pending",
"submitted_time": "2024-05-22T05:47:33Z",
"model_type": "quantization",
"job_id": -1,
"job_start_time": null,
"scripts": "ITREX"
},
"quantization_config": {
"bits": 4,
"group_size": 128,
"modules_to_not_convert": [],
"quant_method": "awq",
"version": "gemm",
"zero_point": true
},
"versions": {
"harness|piqa|0": 1.0,
"harness|openbookqa|0": 1.0,
"harness|hellaswag|0": 1.0,
"harness|arc:challenge|0": 1.0,
"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|winogrande|0": 1.0,
"harness|boolq|0": 2.0,
"harness|truthfulqa:mc1|0": 2.0,
"harness|lambada:openai|0": 1.0,
"harness|truthfulqa:mc2|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": 1716460286.6962833,
"config": {
"model": "hf",
"model_args": "pretrained=TheBloke/neural-chat-7B-v3-3-AWQ,trust_remote_code=True,dtype=float16,_commit_hash=main",
"batch_size": 2,
"batch_sizes": [],
"device": "cuda",
"use_cache": null,
"limit": null,
"bootstrap_iters": 100000,
"gen_kwargs": null
}
}