|
{ |
|
"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": "microsoft/phi-2", |
|
"model_sha": "", |
|
"model_dtype": "16bit", |
|
"model_size": 5.56, |
|
"model_params": 2.78, |
|
"quant_type": null, |
|
"precision": "16bit" |
|
}, |
|
"results": { |
|
"harness|winogrande|0": { |
|
"acc,none": 0.7561168113654302, |
|
"acc_stderr,none": 0.01206892327890819, |
|
"alias": "winogrande" |
|
}, |
|
"harness|lambada:openai|0": { |
|
"perplexity,none": 5.557616371889193, |
|
"perplexity_stderr,none": 0.1501396554611075, |
|
"acc,none": 0.627595575392975, |
|
"acc_stderr,none": 0.006735338475740351, |
|
"alias": "lambada_openai" |
|
}, |
|
"harness|boolq|0": { |
|
"acc,none": 0.8330275229357799, |
|
"acc_stderr,none": 0.006522959168899894, |
|
"alias": "boolq" |
|
}, |
|
"harness|mmlu|0": { |
|
"acc,none": 0.5325452214784219, |
|
"acc_stderr,none": 0.004017890530869981, |
|
"alias": "mmlu" |
|
}, |
|
"harness|mmlu_humanities|0": { |
|
"alias": " - humanities", |
|
"acc,none": 0.48459086078639746, |
|
"acc_stderr,none": 0.006856193765800774 |
|
}, |
|
"harness|mmlu_formal_logic|0": { |
|
"alias": " - formal_logic", |
|
"acc,none": 0.36507936507936506, |
|
"acc_stderr,none": 0.04306241259127153 |
|
}, |
|
"harness|mmlu_high_school_european_history|0": { |
|
"alias": " - high_school_european_history", |
|
"acc,none": 0.6727272727272727, |
|
"acc_stderr,none": 0.03663974994391243 |
|
}, |
|
"harness|mmlu_high_school_us_history|0": { |
|
"alias": " - high_school_us_history", |
|
"acc,none": 0.6617647058823529, |
|
"acc_stderr,none": 0.03320574612945431 |
|
}, |
|
"harness|mmlu_high_school_world_history|0": { |
|
"alias": " - high_school_world_history", |
|
"acc,none": 0.7426160337552743, |
|
"acc_stderr,none": 0.0284588209914603 |
|
}, |
|
"harness|mmlu_international_law|0": { |
|
"alias": " - international_law", |
|
"acc,none": 0.743801652892562, |
|
"acc_stderr,none": 0.03984979653302871 |
|
}, |
|
"harness|mmlu_jurisprudence|0": { |
|
"alias": " - jurisprudence", |
|
"acc,none": 0.6574074074074074, |
|
"acc_stderr,none": 0.04587904741301811 |
|
}, |
|
"harness|mmlu_logical_fallacies|0": { |
|
"alias": " - logical_fallacies", |
|
"acc,none": 0.7055214723926381, |
|
"acc_stderr,none": 0.03581165790474082 |
|
}, |
|
"harness|mmlu_moral_disputes|0": { |
|
"alias": " - moral_disputes", |
|
"acc,none": 0.6445086705202312, |
|
"acc_stderr,none": 0.025770292082977247 |
|
}, |
|
"harness|mmlu_moral_scenarios|0": { |
|
"alias": " - moral_scenarios", |
|
"acc,none": 0.2324022346368715, |
|
"acc_stderr,none": 0.014125968754673389 |
|
}, |
|
"harness|mmlu_philosophy|0": { |
|
"alias": " - philosophy", |
|
"acc,none": 0.5659163987138264, |
|
"acc_stderr,none": 0.0281502322445356 |
|
}, |
|
"harness|mmlu_prehistory|0": { |
|
"alias": " - prehistory", |
|
"acc,none": 0.6049382716049383, |
|
"acc_stderr,none": 0.027201117666925657 |
|
}, |
|
"harness|mmlu_professional_law|0": { |
|
"alias": " - professional_law", |
|
"acc,none": 0.40352020860495436, |
|
"acc_stderr,none": 0.01253024130119318 |
|
}, |
|
"harness|mmlu_world_religions|0": { |
|
"alias": " - world_religions", |
|
"acc,none": 0.6666666666666666, |
|
"acc_stderr,none": 0.036155076303109344 |
|
}, |
|
"harness|mmlu_other|0": { |
|
"alias": " - other", |
|
"acc,none": 0.5828773736723527, |
|
"acc_stderr,none": 0.008588881438455619 |
|
}, |
|
"harness|mmlu_business_ethics|0": { |
|
"alias": " - business_ethics", |
|
"acc,none": 0.51, |
|
"acc_stderr,none": 0.05024183937956914 |
|
}, |
|
"harness|mmlu_clinical_knowledge|0": { |
|
"alias": " - clinical_knowledge", |
|
"acc,none": 0.6339622641509434, |
|
"acc_stderr,none": 0.029647813539365235 |
|
}, |
|
"harness|mmlu_college_medicine|0": { |
|
"alias": " - college_medicine", |
|
"acc,none": 0.5317919075144508, |
|
"acc_stderr,none": 0.03804749744364763 |
|
}, |
|
"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": 0.6143497757847534, |
|
"acc_stderr,none": 0.03266842214289201 |
|
}, |
|
"harness|mmlu_management|0": { |
|
"alias": " - management", |
|
"acc,none": 0.6990291262135923, |
|
"acc_stderr,none": 0.04541609446503948 |
|
}, |
|
"harness|mmlu_marketing|0": { |
|
"alias": " - marketing", |
|
"acc,none": 0.7991452991452992, |
|
"acc_stderr,none": 0.02624677294689048 |
|
}, |
|
"harness|mmlu_medical_genetics|0": { |
|
"alias": " - medical_genetics", |
|
"acc,none": 0.56, |
|
"acc_stderr,none": 0.04988876515698589 |
|
}, |
|
"harness|mmlu_miscellaneous|0": { |
|
"alias": " - miscellaneous", |
|
"acc,none": 0.6768837803320562, |
|
"acc_stderr,none": 0.016723726512343048 |
|
}, |
|
"harness|mmlu_nutrition|0": { |
|
"alias": " - nutrition", |
|
"acc,none": 0.5947712418300654, |
|
"acc_stderr,none": 0.028110928492809075 |
|
}, |
|
"harness|mmlu_professional_accounting|0": { |
|
"alias": " - professional_accounting", |
|
"acc,none": 0.40070921985815605, |
|
"acc_stderr,none": 0.029233465745573093 |
|
}, |
|
"harness|mmlu_professional_medicine|0": { |
|
"alias": " - professional_medicine", |
|
"acc,none": 0.41911764705882354, |
|
"acc_stderr,none": 0.029972807170464626 |
|
}, |
|
"harness|mmlu_virology|0": { |
|
"alias": " - virology", |
|
"acc,none": 0.4397590361445783, |
|
"acc_stderr,none": 0.03864139923699122 |
|
}, |
|
"harness|mmlu_social_sciences|0": { |
|
"alias": " - social_sciences", |
|
"acc,none": 0.6304842378940526, |
|
"acc_stderr,none": 0.008517546545668603 |
|
}, |
|
"harness|mmlu_econometrics|0": { |
|
"alias": " - econometrics", |
|
"acc,none": 0.30701754385964913, |
|
"acc_stderr,none": 0.043391383225798615 |
|
}, |
|
"harness|mmlu_high_school_geography|0": { |
|
"alias": " - high_school_geography", |
|
"acc,none": 0.7121212121212122, |
|
"acc_stderr,none": 0.03225883512300992 |
|
}, |
|
"harness|mmlu_high_school_government_and_politics|0": { |
|
"alias": " - high_school_government_and_politics", |
|
"acc,none": 0.7202072538860104, |
|
"acc_stderr,none": 0.03239637046735703 |
|
}, |
|
"harness|mmlu_high_school_macroeconomics|0": { |
|
"alias": " - high_school_macroeconomics", |
|
"acc,none": 0.5538461538461539, |
|
"acc_stderr,none": 0.02520357177302833 |
|
}, |
|
"harness|mmlu_high_school_microeconomics|0": { |
|
"alias": " - high_school_microeconomics", |
|
"acc,none": 0.5588235294117647, |
|
"acc_stderr,none": 0.0322529423239964 |
|
}, |
|
"harness|mmlu_high_school_psychology|0": { |
|
"alias": " - high_school_psychology", |
|
"acc,none": 0.7321100917431193, |
|
"acc_stderr,none": 0.018987462257978652 |
|
}, |
|
"harness|mmlu_human_sexuality|0": { |
|
"alias": " - human_sexuality", |
|
"acc,none": 0.6259541984732825, |
|
"acc_stderr,none": 0.04243869242230524 |
|
}, |
|
"harness|mmlu_professional_psychology|0": { |
|
"alias": " - professional_psychology", |
|
"acc,none": 0.5473856209150327, |
|
"acc_stderr,none": 0.02013679091849253 |
|
}, |
|
"harness|mmlu_public_relations|0": { |
|
"alias": " - public_relations", |
|
"acc,none": 0.6636363636363637, |
|
"acc_stderr,none": 0.04525393596302506 |
|
}, |
|
"harness|mmlu_security_studies|0": { |
|
"alias": " - security_studies", |
|
"acc,none": 0.6612244897959184, |
|
"acc_stderr,none": 0.030299506562154185 |
|
}, |
|
"harness|mmlu_sociology|0": { |
|
"alias": " - sociology", |
|
"acc,none": 0.7512437810945274, |
|
"acc_stderr,none": 0.030567675938916714 |
|
}, |
|
"harness|mmlu_us_foreign_policy|0": { |
|
"alias": " - us_foreign_policy", |
|
"acc,none": 0.74, |
|
"acc_stderr,none": 0.0440844002276808 |
|
}, |
|
"harness|mmlu_stem|0": { |
|
"alias": " - stem", |
|
"acc,none": 0.4589280050745322, |
|
"acc_stderr,none": 0.008648120965315137 |
|
}, |
|
"harness|mmlu_abstract_algebra|0": { |
|
"alias": " - abstract_algebra", |
|
"acc,none": 0.28, |
|
"acc_stderr,none": 0.04512608598542127 |
|
}, |
|
"harness|mmlu_anatomy|0": { |
|
"alias": " - anatomy", |
|
"acc,none": 0.45185185185185184, |
|
"acc_stderr,none": 0.04299268905480864 |
|
}, |
|
"harness|mmlu_astronomy|0": { |
|
"alias": " - astronomy", |
|
"acc,none": 0.5723684210526315, |
|
"acc_stderr,none": 0.040260970832965634 |
|
}, |
|
"harness|mmlu_college_biology|0": { |
|
"alias": " - college_biology", |
|
"acc,none": 0.5763888888888888, |
|
"acc_stderr,none": 0.041321250197233685 |
|
}, |
|
"harness|mmlu_college_chemistry|0": { |
|
"alias": " - college_chemistry", |
|
"acc,none": 0.32, |
|
"acc_stderr,none": 0.046882617226215034 |
|
}, |
|
"harness|mmlu_college_computer_science|0": { |
|
"alias": " - college_computer_science", |
|
"acc,none": 0.37, |
|
"acc_stderr,none": 0.048523658709391 |
|
}, |
|
"harness|mmlu_college_mathematics|0": { |
|
"alias": " - college_mathematics", |
|
"acc,none": 0.4, |
|
"acc_stderr,none": 0.049236596391733084 |
|
}, |
|
"harness|mmlu_college_physics|0": { |
|
"alias": " - college_physics", |
|
"acc,none": 0.29411764705882354, |
|
"acc_stderr,none": 0.04533838195929774 |
|
}, |
|
"harness|mmlu_computer_security|0": { |
|
"alias": " - computer_security", |
|
"acc,none": 0.63, |
|
"acc_stderr,none": 0.04852365870939099 |
|
}, |
|
"harness|mmlu_conceptual_physics|0": { |
|
"alias": " - conceptual_physics", |
|
"acc,none": 0.502127659574468, |
|
"acc_stderr,none": 0.03268572658667492 |
|
}, |
|
"harness|mmlu_electrical_engineering|0": { |
|
"alias": " - electrical_engineering", |
|
"acc,none": 0.503448275862069, |
|
"acc_stderr,none": 0.04166567577101579 |
|
}, |
|
"harness|mmlu_elementary_mathematics|0": { |
|
"alias": " - elementary_mathematics", |
|
"acc,none": 0.3888888888888889, |
|
"acc_stderr,none": 0.02510742548113728 |
|
}, |
|
"harness|mmlu_high_school_biology|0": { |
|
"alias": " - high_school_biology", |
|
"acc,none": 0.667741935483871, |
|
"acc_stderr,none": 0.02679556084812279 |
|
}, |
|
"harness|mmlu_high_school_chemistry|0": { |
|
"alias": " - high_school_chemistry", |
|
"acc,none": 0.4482758620689655, |
|
"acc_stderr,none": 0.03499113137676744 |
|
}, |
|
"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": 0.3111111111111111, |
|
"acc_stderr,none": 0.028226446749683515 |
|
}, |
|
"harness|mmlu_high_school_physics|0": { |
|
"alias": " - high_school_physics", |
|
"acc,none": 0.36423841059602646, |
|
"acc_stderr,none": 0.03929111781242742 |
|
}, |
|
"harness|mmlu_high_school_statistics|0": { |
|
"alias": " - high_school_statistics", |
|
"acc,none": 0.4444444444444444, |
|
"acc_stderr,none": 0.03388857118502325 |
|
}, |
|
"harness|mmlu_machine_learning|0": { |
|
"alias": " - machine_learning", |
|
"acc,none": 0.42857142857142855, |
|
"acc_stderr,none": 0.04697113923010212 |
|
}, |
|
"harness|hellaswag|0": { |
|
"acc,none": 0.5583549093806015, |
|
"acc_stderr,none": 0.004955681533284329, |
|
"acc_norm,none": 0.7378012348137821, |
|
"acc_norm_stderr,none": 0.00438931274801212, |
|
"alias": "hellaswag" |
|
}, |
|
"harness|arc:easy|0": { |
|
"acc,none": 0.7992424242424242, |
|
"acc_stderr,none": 0.008219462692991508, |
|
"acc_norm,none": 0.781986531986532, |
|
"acc_norm_stderr,none": 0.008472459303145413, |
|
"alias": "arc_easy" |
|
}, |
|
"harness|truthfulqa:mc1|0": { |
|
"acc,none": 0.31456548347613217, |
|
"acc_stderr,none": 0.016255241993179164, |
|
"alias": "truthfulqa_mc1" |
|
}, |
|
"harness|truthfulqa:mc2|0": { |
|
"acc,none": 0.4453719698490273, |
|
"acc_stderr,none": 0.015127379337232197, |
|
"alias": "truthfulqa_mc2" |
|
}, |
|
"harness|openbookqa|0": { |
|
"acc,none": 0.402, |
|
"acc_stderr,none": 0.021948929609938612, |
|
"acc_norm,none": 0.514, |
|
"acc_norm_stderr,none": 0.022374298166353185, |
|
"alias": "openbookqa" |
|
}, |
|
"harness|piqa|0": { |
|
"acc,none": 0.7867247007616975, |
|
"acc_stderr,none": 0.009557121225861328, |
|
"acc_norm,none": 0.7921653971708379, |
|
"acc_norm_stderr,none": 0.009466997964536391, |
|
"alias": "piqa" |
|
}, |
|
"harness|arc:challenge|0": { |
|
"acc,none": 0.5281569965870307, |
|
"acc_stderr,none": 0.014588204105102203, |
|
"acc_norm,none": 0.5409556313993175, |
|
"acc_norm_stderr,none": 0.014562291073601229, |
|
"alias": "arc_challenge" |
|
} |
|
}, |
|
"task_info": { |
|
"model": "microsoft/phi-2", |
|
"revision": "main", |
|
"private": false, |
|
"params": 2.78, |
|
"architectures": "PhiForCausalLM", |
|
"quant_type": null, |
|
"precision": "16bit", |
|
"model_params": 2.78, |
|
"model_size": 5.56, |
|
"weight_dtype": "float16", |
|
"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|winogrande|0": 1.0, |
|
"harness|lambada:openai|0": 1.0, |
|
"harness|boolq|0": 2.0, |
|
"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|hellaswag|0": 1.0, |
|
"harness|arc:easy|0": 1.0, |
|
"harness|truthfulqa:mc1|0": 2.0, |
|
"harness|truthfulqa:mc2|0": 2.0, |
|
"harness|openbookqa|0": 1.0, |
|
"harness|piqa|0": 1.0, |
|
"harness|arc:challenge|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": 1716031670.214239, |
|
"config": { |
|
"model": "hf", |
|
"model_args": "pretrained=microsoft/phi-2,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 |
|
} |
|
} |
|
|