|
{ |
|
"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": "upstage/SOLAR-10.7B-Instruct-v1.0", |
|
"model_sha": "", |
|
"model_dtype": "16bit", |
|
"model_size": "21.46", |
|
"model_params": "10.73", |
|
"quant_type": null, |
|
"precision": "16bit" |
|
}, |
|
"results": { |
|
"harness|arc:challenge|0": { |
|
"acc,none": 0.6075085324232082, |
|
"acc_stderr,none": 0.014269634635670724, |
|
"acc_norm,none": 0.6390784982935154, |
|
"acc_norm_stderr,none": 0.014034761386175452, |
|
"alias": "arc_challenge" |
|
}, |
|
"harness|openbookqa|0": { |
|
"acc,none": 0.364, |
|
"acc_stderr,none": 0.0215391706373177, |
|
"acc_norm,none": 0.476, |
|
"acc_norm_stderr,none": 0.0223572738810164, |
|
"alias": "openbookqa" |
|
}, |
|
"harness|piqa|0": { |
|
"acc,none": 0.8068552774755169, |
|
"acc_stderr,none": 0.009210530962579793, |
|
"acc_norm,none": 0.8101196953210011, |
|
"acc_norm_stderr,none": 0.009150819250948718, |
|
"alias": "piqa" |
|
}, |
|
"harness|lambada:openai|0": { |
|
"perplexity,none": 3.170644380815313, |
|
"perplexity_stderr,none": 0.07317860298667478, |
|
"acc,none": 0.727731418591112, |
|
"acc_stderr,none": 0.006201495026535788, |
|
"alias": "lambada_openai" |
|
}, |
|
"harness|truthfulqa:mc2|0": { |
|
"acc,none": 0.7170850336920905, |
|
"acc_stderr,none": 0.014993519779369784, |
|
"alias": "truthfulqa_mc2" |
|
}, |
|
"harness|hellaswag|0": { |
|
"acc,none": 0.6868153754232225, |
|
"acc_stderr,none": 0.00462840908421878, |
|
"acc_norm,none": 0.8634734116709819, |
|
"acc_norm_stderr,none": 0.0034264517445079645, |
|
"alias": "hellaswag" |
|
}, |
|
"harness|boolq|0": { |
|
"acc,none": 0.8853211009174312, |
|
"acc_stderr,none": 0.0055729443323062075, |
|
"alias": "boolq" |
|
}, |
|
"harness|mmlu|0": { |
|
"acc,none": 0.6358068651189289, |
|
"acc_stderr,none": 0.003803645761874694, |
|
"alias": "mmlu" |
|
}, |
|
"harness|mmlu_humanities|0": { |
|
"alias": " - humanities", |
|
"acc,none": 0.5808714133900106, |
|
"acc_stderr,none": 0.006641263715610051 |
|
}, |
|
"harness|mmlu_formal_logic|0": { |
|
"alias": " - formal_logic", |
|
"acc,none": 0.40476190476190477, |
|
"acc_stderr,none": 0.043902592653775614 |
|
}, |
|
"harness|mmlu_high_school_european_history|0": { |
|
"alias": " - high_school_european_history", |
|
"acc,none": 0.8242424242424242, |
|
"acc_stderr,none": 0.02972094300622445 |
|
}, |
|
"harness|mmlu_high_school_us_history|0": { |
|
"alias": " - high_school_us_history", |
|
"acc,none": 0.8578431372549019, |
|
"acc_stderr,none": 0.024509803921568624 |
|
}, |
|
"harness|mmlu_high_school_world_history|0": { |
|
"alias": " - high_school_world_history", |
|
"acc,none": 0.8565400843881856, |
|
"acc_stderr,none": 0.022818291821017012 |
|
}, |
|
"harness|mmlu_international_law|0": { |
|
"alias": " - international_law", |
|
"acc,none": 0.7851239669421488, |
|
"acc_stderr,none": 0.03749492448709699 |
|
}, |
|
"harness|mmlu_jurisprudence|0": { |
|
"alias": " - jurisprudence", |
|
"acc,none": 0.7962962962962963, |
|
"acc_stderr,none": 0.03893542518824847 |
|
}, |
|
"harness|mmlu_logical_fallacies|0": { |
|
"alias": " - logical_fallacies", |
|
"acc,none": 0.7239263803680982, |
|
"acc_stderr,none": 0.03512385283705049 |
|
}, |
|
"harness|mmlu_moral_disputes|0": { |
|
"alias": " - moral_disputes", |
|
"acc,none": 0.7254335260115607, |
|
"acc_stderr,none": 0.024027745155265 |
|
}, |
|
"harness|mmlu_moral_scenarios|0": { |
|
"alias": " - moral_scenarios", |
|
"acc,none": 0.3027932960893855, |
|
"acc_stderr,none": 0.015366860386397107 |
|
}, |
|
"harness|mmlu_philosophy|0": { |
|
"alias": " - philosophy", |
|
"acc,none": 0.6977491961414791, |
|
"acc_stderr,none": 0.026082700695399662 |
|
}, |
|
"harness|mmlu_prehistory|0": { |
|
"alias": " - prehistory", |
|
"acc,none": 0.7561728395061729, |
|
"acc_stderr,none": 0.023891879541959614 |
|
}, |
|
"harness|mmlu_professional_law|0": { |
|
"alias": " - professional_law", |
|
"acc,none": 0.48891786179921776, |
|
"acc_stderr,none": 0.012767098998525846 |
|
}, |
|
"harness|mmlu_world_religions|0": { |
|
"alias": " - world_religions", |
|
"acc,none": 0.7894736842105263, |
|
"acc_stderr,none": 0.031267817146631786 |
|
}, |
|
"harness|mmlu_other|0": { |
|
"alias": " - other", |
|
"acc,none": 0.7186997103315095, |
|
"acc_stderr,none": 0.007774584585330551 |
|
}, |
|
"harness|mmlu_business_ethics|0": { |
|
"alias": " - business_ethics", |
|
"acc,none": 0.66, |
|
"acc_stderr,none": 0.04760952285695237 |
|
}, |
|
"harness|mmlu_clinical_knowledge|0": { |
|
"alias": " - clinical_knowledge", |
|
"acc,none": 0.720754716981132, |
|
"acc_stderr,none": 0.027611163402399715 |
|
}, |
|
"harness|mmlu_college_medicine|0": { |
|
"alias": " - college_medicine", |
|
"acc,none": 0.653179190751445, |
|
"acc_stderr,none": 0.03629146670159663 |
|
}, |
|
"harness|mmlu_global_facts|0": { |
|
"alias": " - global_facts", |
|
"acc,none": 0.35, |
|
"acc_stderr,none": 0.047937248544110196 |
|
}, |
|
"harness|mmlu_human_aging|0": { |
|
"alias": " - human_aging", |
|
"acc,none": 0.7040358744394619, |
|
"acc_stderr,none": 0.03063659134869981 |
|
}, |
|
"harness|mmlu_management|0": { |
|
"alias": " - management", |
|
"acc,none": 0.8058252427184466, |
|
"acc_stderr,none": 0.03916667762822584 |
|
}, |
|
"harness|mmlu_marketing|0": { |
|
"alias": " - marketing", |
|
"acc,none": 0.8803418803418803, |
|
"acc_stderr,none": 0.021262719400406964 |
|
}, |
|
"harness|mmlu_medical_genetics|0": { |
|
"alias": " - medical_genetics", |
|
"acc,none": 0.76, |
|
"acc_stderr,none": 0.042923469599092816 |
|
}, |
|
"harness|mmlu_miscellaneous|0": { |
|
"alias": " - miscellaneous", |
|
"acc,none": 0.8263090676883781, |
|
"acc_stderr,none": 0.01354741565866226 |
|
}, |
|
"harness|mmlu_nutrition|0": { |
|
"alias": " - nutrition", |
|
"acc,none": 0.7287581699346405, |
|
"acc_stderr,none": 0.025457756696667867 |
|
}, |
|
"harness|mmlu_professional_accounting|0": { |
|
"alias": " - professional_accounting", |
|
"acc,none": 0.5354609929078015, |
|
"acc_stderr,none": 0.02975238965742705 |
|
}, |
|
"harness|mmlu_professional_medicine|0": { |
|
"alias": " - professional_medicine", |
|
"acc,none": 0.7316176470588235, |
|
"acc_stderr,none": 0.02691748122437722 |
|
}, |
|
"harness|mmlu_virology|0": { |
|
"alias": " - virology", |
|
"acc,none": 0.5180722891566265, |
|
"acc_stderr,none": 0.038899512528272166 |
|
}, |
|
"harness|mmlu_social_sciences|0": { |
|
"alias": " - social_sciences", |
|
"acc,none": 0.7409814754631134, |
|
"acc_stderr,none": 0.007748186487492694 |
|
}, |
|
"harness|mmlu_econometrics|0": { |
|
"alias": " - econometrics", |
|
"acc,none": 0.5, |
|
"acc_stderr,none": 0.047036043419179864 |
|
}, |
|
"harness|mmlu_high_school_geography|0": { |
|
"alias": " - high_school_geography", |
|
"acc,none": 0.8181818181818182, |
|
"acc_stderr,none": 0.027479603010538797 |
|
}, |
|
"harness|mmlu_high_school_government_and_politics|0": { |
|
"alias": " - high_school_government_and_politics", |
|
"acc,none": 0.8860103626943006, |
|
"acc_stderr,none": 0.02293514405391943 |
|
}, |
|
"harness|mmlu_high_school_macroeconomics|0": { |
|
"alias": " - high_school_macroeconomics", |
|
"acc,none": 0.6820512820512821, |
|
"acc_stderr,none": 0.023610884308927865 |
|
}, |
|
"harness|mmlu_high_school_microeconomics|0": { |
|
"alias": " - high_school_microeconomics", |
|
"acc,none": 0.6848739495798319, |
|
"acc_stderr,none": 0.030176808288974337 |
|
}, |
|
"harness|mmlu_high_school_psychology|0": { |
|
"alias": " - high_school_psychology", |
|
"acc,none": 0.8275229357798165, |
|
"acc_stderr,none": 0.016197807956848057 |
|
}, |
|
"harness|mmlu_human_sexuality|0": { |
|
"alias": " - human_sexuality", |
|
"acc,none": 0.7786259541984732, |
|
"acc_stderr,none": 0.036412970813137296 |
|
}, |
|
"harness|mmlu_professional_psychology|0": { |
|
"alias": " - professional_psychology", |
|
"acc,none": 0.6748366013071896, |
|
"acc_stderr,none": 0.01895088677080631 |
|
}, |
|
"harness|mmlu_public_relations|0": { |
|
"alias": " - public_relations", |
|
"acc,none": 0.6636363636363637, |
|
"acc_stderr,none": 0.04525393596302505 |
|
}, |
|
"harness|mmlu_security_studies|0": { |
|
"alias": " - security_studies", |
|
"acc,none": 0.7061224489795919, |
|
"acc_stderr,none": 0.029162738410249765 |
|
}, |
|
"harness|mmlu_sociology|0": { |
|
"alias": " - sociology", |
|
"acc,none": 0.8059701492537313, |
|
"acc_stderr,none": 0.027962677604768893 |
|
}, |
|
"harness|mmlu_us_foreign_policy|0": { |
|
"alias": " - us_foreign_policy", |
|
"acc,none": 0.87, |
|
"acc_stderr,none": 0.03379976689896309 |
|
}, |
|
"harness|mmlu_stem|0": { |
|
"alias": " - stem", |
|
"acc,none": 0.5334601966381224, |
|
"acc_stderr,none": 0.008536389351093637 |
|
}, |
|
"harness|mmlu_abstract_algebra|0": { |
|
"alias": " - abstract_algebra", |
|
"acc,none": 0.37, |
|
"acc_stderr,none": 0.04852365870939098 |
|
}, |
|
"harness|mmlu_anatomy|0": { |
|
"alias": " - anatomy", |
|
"acc,none": 0.5777777777777777, |
|
"acc_stderr,none": 0.04266763404099582 |
|
}, |
|
"harness|mmlu_astronomy|0": { |
|
"alias": " - astronomy", |
|
"acc,none": 0.7236842105263158, |
|
"acc_stderr,none": 0.03639057569952929 |
|
}, |
|
"harness|mmlu_college_biology|0": { |
|
"alias": " - college_biology", |
|
"acc,none": 0.7638888888888888, |
|
"acc_stderr,none": 0.03551446610810826 |
|
}, |
|
"harness|mmlu_college_chemistry|0": { |
|
"alias": " - college_chemistry", |
|
"acc,none": 0.4, |
|
"acc_stderr,none": 0.04923659639173309 |
|
}, |
|
"harness|mmlu_college_computer_science|0": { |
|
"alias": " - college_computer_science", |
|
"acc,none": 0.5, |
|
"acc_stderr,none": 0.050251890762960605 |
|
}, |
|
"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": 0.73, |
|
"acc_stderr,none": 0.0446196043338474 |
|
}, |
|
"harness|mmlu_conceptual_physics|0": { |
|
"alias": " - conceptual_physics", |
|
"acc,none": 0.5914893617021276, |
|
"acc_stderr,none": 0.032134180267015755 |
|
}, |
|
"harness|mmlu_electrical_engineering|0": { |
|
"alias": " - electrical_engineering", |
|
"acc,none": 0.5241379310344828, |
|
"acc_stderr,none": 0.0416180850350153 |
|
}, |
|
"harness|mmlu_elementary_mathematics|0": { |
|
"alias": " - elementary_mathematics", |
|
"acc,none": 0.46825396825396826, |
|
"acc_stderr,none": 0.025699352832131792 |
|
}, |
|
"harness|mmlu_high_school_biology|0": { |
|
"alias": " - high_school_biology", |
|
"acc,none": 0.7838709677419354, |
|
"acc_stderr,none": 0.023415293433568515 |
|
}, |
|
"harness|mmlu_high_school_chemistry|0": { |
|
"alias": " - high_school_chemistry", |
|
"acc,none": 0.45320197044334976, |
|
"acc_stderr,none": 0.03502544650845872 |
|
}, |
|
"harness|mmlu_high_school_computer_science|0": { |
|
"alias": " - high_school_computer_science", |
|
"acc,none": 0.62, |
|
"acc_stderr,none": 0.04878317312145632 |
|
}, |
|
"harness|mmlu_high_school_mathematics|0": { |
|
"alias": " - high_school_mathematics", |
|
"acc,none": 0.34814814814814815, |
|
"acc_stderr,none": 0.029045600290616255 |
|
}, |
|
"harness|mmlu_high_school_physics|0": { |
|
"alias": " - high_school_physics", |
|
"acc,none": 0.3509933774834437, |
|
"acc_stderr,none": 0.03896981964257374 |
|
}, |
|
"harness|mmlu_high_school_statistics|0": { |
|
"alias": " - high_school_statistics", |
|
"acc,none": 0.5370370370370371, |
|
"acc_stderr,none": 0.03400603625538271 |
|
}, |
|
"harness|mmlu_machine_learning|0": { |
|
"alias": " - machine_learning", |
|
"acc,none": 0.4642857142857143, |
|
"acc_stderr,none": 0.04733667890053756 |
|
}, |
|
"harness|winogrande|0": { |
|
"acc,none": 0.7671665351223362, |
|
"acc_stderr,none": 0.011878201073856553, |
|
"alias": "winogrande" |
|
}, |
|
"harness|truthfulqa:mc1|0": { |
|
"acc,none": 0.5777233782129743, |
|
"acc_stderr,none": 0.017290733254248174, |
|
"alias": "truthfulqa_mc1" |
|
}, |
|
"harness|arc:easy|0": { |
|
"acc,none": 0.8320707070707071, |
|
"acc_stderr,none": 0.0076702856738280565, |
|
"acc_norm,none": 0.8148148148148148, |
|
"acc_norm_stderr,none": 0.007970779064429208, |
|
"alias": "arc_easy" |
|
} |
|
}, |
|
"task_info": { |
|
"model": "upstage/SOLAR-10.7B-Instruct-v1.0", |
|
"revision": "main", |
|
"private": false, |
|
"params": 10.73, |
|
"architectures": "LlamaForCausalLM", |
|
"quant_type": null, |
|
"precision": "16bit", |
|
"model_params": 10.73, |
|
"model_size": 21.46, |
|
"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|arc:challenge|0": 1.0, |
|
"harness|openbookqa|0": 1.0, |
|
"harness|piqa|0": 1.0, |
|
"harness|lambada:openai|0": 1.0, |
|
"harness|truthfulqa:mc2|0": 2.0, |
|
"harness|hellaswag|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|winogrande|0": 1.0, |
|
"harness|truthfulqa:mc1|0": 2.0, |
|
"harness|arc:easy|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": 1715954031.0171022, |
|
"config": { |
|
"model": "hf", |
|
"model_args": "pretrained=upstage/SOLAR-10.7B-Instruct-v1.0,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 |
|
} |
|
} |
|
|