| { | |
| "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": "2024-05-02-16-52-29", | |
| "total_evaluation_time_secondes": "", | |
| "model_name": "TheBloke/SOLAR-10.7B-Instruct-v1.0-AWQ", | |
| "model_sha": "", | |
| "model_dtype": "4bit", | |
| "model_size": 5.96, | |
| "model_params": 10.55, | |
| "quant_type": "AWQ", | |
| "precision": "4bit" | |
| }, | |
| "results": { | |
| "harness|arc:challenge|0": { | |
| "acc,none": 0.5981228668941979, | |
| "acc_stderr,none": 0.014327268614578274, | |
| "acc_norm,none": 0.6322525597269625, | |
| "acc_norm_stderr,none": 0.014090995618168473, | |
| "alias": "arc_challenge" | |
| }, | |
| "harness|openbookqa|0": { | |
| "acc,none": 0.374, | |
| "acc_stderr,none": 0.021660710347204487, | |
| "acc_norm,none": 0.494, | |
| "acc_norm_stderr,none": 0.022381462412439324, | |
| "alias": "openbookqa" | |
| }, | |
| "harness|truthfulqa:mc1|0": { | |
| "acc,none": 0.5471236230110159, | |
| "acc_stderr,none": 0.01742558984831402, | |
| "alias": "truthfulqa_mc1" | |
| }, | |
| "harness|piqa|0": { | |
| "acc,none": 0.8112078346028292, | |
| "acc_stderr,none": 0.009130687388952816, | |
| "acc_norm,none": 0.8144722524483133, | |
| "acc_norm_stderr,none": 0.009069597302603996, | |
| "alias": "piqa" | |
| }, | |
| "harness|boolq|0": { | |
| "acc,none": 0.8798165137614679, | |
| "acc_stderr,none": 0.005687363587870172, | |
| "alias": "boolq" | |
| }, | |
| "harness|arc:easy|0": { | |
| "acc,none": 0.8308080808080808, | |
| "acc_stderr,none": 0.007693223639488826, | |
| "acc_norm,none": 0.8101851851851852, | |
| "acc_norm_stderr,none": 0.008046840527852234, | |
| "alias": "arc_easy" | |
| }, | |
| "harness|lambada:openai|0": { | |
| "perplexity,none": 3.185362930040927, | |
| "perplexity_stderr,none": 0.07406409479719334, | |
| "acc,none": 0.7279254803027363, | |
| "acc_stderr,none": 0.006200111064998447, | |
| "alias": "lambada_openai" | |
| }, | |
| "harness|mmlu|0": { | |
| "acc,none": 0.6232730380287709, | |
| "acc_stderr,none": 0.0038533964574598407, | |
| "alias": "mmlu" | |
| }, | |
| "harness|mmlu_humanities|0": { | |
| "alias": " - humanities", | |
| "acc,none": 0.5727948990435706, | |
| "acc_stderr,none": 0.006732570609347105 | |
| }, | |
| "harness|mmlu_formal_logic|0": { | |
| "alias": " - formal_logic", | |
| "acc,none": 0.373015873015873, | |
| "acc_stderr,none": 0.04325506042017086 | |
| }, | |
| "harness|mmlu_high_school_european_history|0": { | |
| "alias": " - high_school_european_history", | |
| "acc,none": 0.806060606060606, | |
| "acc_stderr,none": 0.030874145136562097 | |
| }, | |
| "harness|mmlu_high_school_us_history|0": { | |
| "alias": " - high_school_us_history", | |
| "acc,none": 0.8333333333333334, | |
| "acc_stderr,none": 0.026156867523931055 | |
| }, | |
| "harness|mmlu_high_school_world_history|0": { | |
| "alias": " - high_school_world_history", | |
| "acc,none": 0.8270042194092827, | |
| "acc_stderr,none": 0.024621562866768445 | |
| }, | |
| "harness|mmlu_international_law|0": { | |
| "alias": " - international_law", | |
| "acc,none": 0.8264462809917356, | |
| "acc_stderr,none": 0.0345727283691767 | |
| }, | |
| "harness|mmlu_jurisprudence|0": { | |
| "alias": " - jurisprudence", | |
| "acc,none": 0.7685185185185185, | |
| "acc_stderr,none": 0.04077494709252626 | |
| }, | |
| "harness|mmlu_logical_fallacies|0": { | |
| "alias": " - logical_fallacies", | |
| "acc,none": 0.6993865030674846, | |
| "acc_stderr,none": 0.03602511318806771 | |
| }, | |
| "harness|mmlu_moral_disputes|0": { | |
| "alias": " - moral_disputes", | |
| "acc,none": 0.7023121387283237, | |
| "acc_stderr,none": 0.024617055388676982 | |
| }, | |
| "harness|mmlu_moral_scenarios|0": { | |
| "alias": " - moral_scenarios", | |
| "acc,none": 0.3307262569832402, | |
| "acc_stderr,none": 0.01573502625896612 | |
| }, | |
| "harness|mmlu_philosophy|0": { | |
| "alias": " - philosophy", | |
| "acc,none": 0.6945337620578779, | |
| "acc_stderr,none": 0.026160584450140453 | |
| }, | |
| "harness|mmlu_prehistory|0": { | |
| "alias": " - prehistory", | |
| "acc,none": 0.7438271604938271, | |
| "acc_stderr,none": 0.0242885336377261 | |
| }, | |
| "harness|mmlu_professional_law|0": { | |
| "alias": " - professional_law", | |
| "acc,none": 0.47392438070404175, | |
| "acc_stderr,none": 0.012752858346533134 | |
| }, | |
| "harness|mmlu_world_religions|0": { | |
| "alias": " - world_religions", | |
| "acc,none": 0.7543859649122807, | |
| "acc_stderr,none": 0.033014059469872487 | |
| }, | |
| "harness|mmlu_other|0": { | |
| "alias": " - other", | |
| "acc,none": 0.7016414547795301, | |
| "acc_stderr,none": 0.007934723097613417 | |
| }, | |
| "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": 0.6867924528301886, | |
| "acc_stderr,none": 0.028544793319055326 | |
| }, | |
| "harness|mmlu_college_medicine|0": { | |
| "alias": " - college_medicine", | |
| "acc,none": 0.6473988439306358, | |
| "acc_stderr,none": 0.036430371689585475 | |
| }, | |
| "harness|mmlu_global_facts|0": { | |
| "alias": " - global_facts", | |
| "acc,none": 0.36, | |
| "acc_stderr,none": 0.04824181513244218 | |
| }, | |
| "harness|mmlu_human_aging|0": { | |
| "alias": " - human_aging", | |
| "acc,none": 0.695067264573991, | |
| "acc_stderr,none": 0.030898610882477515 | |
| }, | |
| "harness|mmlu_management|0": { | |
| "alias": " - management", | |
| "acc,none": 0.8155339805825242, | |
| "acc_stderr,none": 0.03840423627288276 | |
| }, | |
| "harness|mmlu_marketing|0": { | |
| "alias": " - marketing", | |
| "acc,none": 0.8547008547008547, | |
| "acc_stderr,none": 0.023086635086841407 | |
| }, | |
| "harness|mmlu_medical_genetics|0": { | |
| "alias": " - medical_genetics", | |
| "acc,none": 0.73, | |
| "acc_stderr,none": 0.044619604333847394 | |
| }, | |
| "harness|mmlu_miscellaneous|0": { | |
| "alias": " - miscellaneous", | |
| "acc,none": 0.80970625798212, | |
| "acc_stderr,none": 0.01403694585038138 | |
| }, | |
| "harness|mmlu_nutrition|0": { | |
| "alias": " - nutrition", | |
| "acc,none": 0.7156862745098039, | |
| "acc_stderr,none": 0.025829163272757468 | |
| }, | |
| "harness|mmlu_professional_accounting|0": { | |
| "alias": " - professional_accounting", | |
| "acc,none": 0.5035460992907801, | |
| "acc_stderr,none": 0.02982674915328092 | |
| }, | |
| "harness|mmlu_professional_medicine|0": { | |
| "alias": " - professional_medicine", | |
| "acc,none": 0.7022058823529411, | |
| "acc_stderr,none": 0.027778298701545443 | |
| }, | |
| "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": 0.7237569060773481, | |
| "acc_stderr,none": 0.007875459074235897 | |
| }, | |
| "harness|mmlu_econometrics|0": { | |
| "alias": " - econometrics", | |
| "acc,none": 0.47368421052631576, | |
| "acc_stderr,none": 0.046970851366478626 | |
| }, | |
| "harness|mmlu_high_school_geography|0": { | |
| "alias": " - high_school_geography", | |
| "acc,none": 0.803030303030303, | |
| "acc_stderr,none": 0.02833560973246336 | |
| }, | |
| "harness|mmlu_high_school_government_and_politics|0": { | |
| "alias": " - high_school_government_and_politics", | |
| "acc,none": 0.8808290155440415, | |
| "acc_stderr,none": 0.02338193534812142 | |
| }, | |
| "harness|mmlu_high_school_macroeconomics|0": { | |
| "alias": " - high_school_macroeconomics", | |
| "acc,none": 0.6358974358974359, | |
| "acc_stderr,none": 0.024396672985094767 | |
| }, | |
| "harness|mmlu_high_school_microeconomics|0": { | |
| "alias": " - high_school_microeconomics", | |
| "acc,none": 0.6764705882352942, | |
| "acc_stderr,none": 0.03038835355188678 | |
| }, | |
| "harness|mmlu_high_school_psychology|0": { | |
| "alias": " - high_school_psychology", | |
| "acc,none": 0.8201834862385321, | |
| "acc_stderr,none": 0.016465345467391534 | |
| }, | |
| "harness|mmlu_human_sexuality|0": { | |
| "alias": " - human_sexuality", | |
| "acc,none": 0.7480916030534351, | |
| "acc_stderr,none": 0.038073871163060866 | |
| }, | |
| "harness|mmlu_professional_psychology|0": { | |
| "alias": " - professional_psychology", | |
| "acc,none": 0.6519607843137255, | |
| "acc_stderr,none": 0.01927099870822398 | |
| }, | |
| "harness|mmlu_public_relations|0": { | |
| "alias": " - public_relations", | |
| "acc,none": 0.6272727272727273, | |
| "acc_stderr,none": 0.04631381319425465 | |
| }, | |
| "harness|mmlu_security_studies|0": { | |
| "alias": " - security_studies", | |
| "acc,none": 0.6938775510204082, | |
| "acc_stderr,none": 0.02950489645459596 | |
| }, | |
| "harness|mmlu_sociology|0": { | |
| "alias": " - sociology", | |
| "acc,none": 0.8208955223880597, | |
| "acc_stderr,none": 0.027113286753111837 | |
| }, | |
| "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": 0.5233111322549953, | |
| "acc_stderr,none": 0.008565620869325358 | |
| }, | |
| "harness|mmlu_abstract_algebra|0": { | |
| "alias": " - abstract_algebra", | |
| "acc,none": 0.35, | |
| "acc_stderr,none": 0.0479372485441102 | |
| }, | |
| "harness|mmlu_anatomy|0": { | |
| "alias": " - anatomy", | |
| "acc,none": 0.5851851851851851, | |
| "acc_stderr,none": 0.04256193767901408 | |
| }, | |
| "harness|mmlu_astronomy|0": { | |
| "alias": " - astronomy", | |
| "acc,none": 0.7039473684210527, | |
| "acc_stderr,none": 0.037150621549989056 | |
| }, | |
| "harness|mmlu_college_biology|0": { | |
| "alias": " - college_biology", | |
| "acc,none": 0.7291666666666666, | |
| "acc_stderr,none": 0.037161774375660164 | |
| }, | |
| "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": 0.29, | |
| "acc_stderr,none": 0.04560480215720684 | |
| }, | |
| "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": 0.71, | |
| "acc_stderr,none": 0.045604802157206845 | |
| }, | |
| "harness|mmlu_conceptual_physics|0": { | |
| "alias": " - conceptual_physics", | |
| "acc,none": 0.5617021276595745, | |
| "acc_stderr,none": 0.03243618636108101 | |
| }, | |
| "harness|mmlu_electrical_engineering|0": { | |
| "alias": " - electrical_engineering", | |
| "acc,none": 0.5379310344827586, | |
| "acc_stderr,none": 0.04154659671707548 | |
| }, | |
| "harness|mmlu_elementary_mathematics|0": { | |
| "alias": " - elementary_mathematics", | |
| "acc,none": 0.4470899470899471, | |
| "acc_stderr,none": 0.025606723995777025 | |
| }, | |
| "harness|mmlu_high_school_biology|0": { | |
| "alias": " - high_school_biology", | |
| "acc,none": 0.7677419354838709, | |
| "acc_stderr,none": 0.02402225613030824 | |
| }, | |
| "harness|mmlu_high_school_chemistry|0": { | |
| "alias": " - high_school_chemistry", | |
| "acc,none": 0.458128078817734, | |
| "acc_stderr,none": 0.03505630140785741 | |
| }, | |
| "harness|mmlu_high_school_computer_science|0": { | |
| "alias": " - high_school_computer_science", | |
| "acc,none": 0.62, | |
| "acc_stderr,none": 0.048783173121456316 | |
| }, | |
| "harness|mmlu_high_school_mathematics|0": { | |
| "alias": " - high_school_mathematics", | |
| "acc,none": 0.362962962962963, | |
| "acc_stderr,none": 0.02931820364520686 | |
| }, | |
| "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": 0.5, | |
| "acc_stderr,none": 0.04745789978762494 | |
| }, | |
| "harness|truthfulqa:mc2|0": { | |
| "acc,none": 0.7003691298306434, | |
| "acc_stderr,none": 0.015084794104413395, | |
| "alias": "truthfulqa_mc2" | |
| }, | |
| "harness|winogrande|0": { | |
| "acc,none": 0.7458563535911602, | |
| "acc_stderr,none": 0.012236307219708278, | |
| "alias": "winogrande" | |
| }, | |
| "harness|hellaswag|0": { | |
| "acc,none": 0.6806413065126469, | |
| "acc_stderr,none": 0.004652753439460115, | |
| "acc_norm,none": 0.8593905596494722, | |
| "acc_norm_stderr,none": 0.0034690778470563856, | |
| "alias": "hellaswag" | |
| } | |
| }, | |
| "task_info": { | |
| "model": "TheBloke/SOLAR-10.7B-Instruct-v1.0-AWQ", | |
| "revision": "main", | |
| "private": false, | |
| "params": 6.652, | |
| "architectures": "LlamaForCausalLM", | |
| "quant_type": "AWQ", | |
| "precision": "4bit", | |
| "model_params": 13.304, | |
| "model_size": 6.652, | |
| "weight_dtype": "int4", | |
| "compute_dtype": "float16", | |
| "gguf_ftype": "*Q4_0.gguf", | |
| "hardware": "gpu", | |
| "status": "Pending", | |
| "submitted_time": "2024-05-01T16:10:00Z", | |
| "model_type": "quantization", | |
| "job_id": -1, | |
| "job_start_time": null, | |
| "scripts": "ITREX" | |
| }, | |
| "quantization_config": { | |
| "bits": 4, | |
| "group_size": 128, | |
| "quant_method": "awq", | |
| "version": "gemm", | |
| "zero_point": true | |
| }, | |
| "versions": { | |
| "harness|arc:challenge|0": 1.0, | |
| "harness|openbookqa|0": 1.0, | |
| "harness|truthfulqa:mc1|0": 2.0, | |
| "harness|piqa|0": 1.0, | |
| "harness|boolq|0": 2.0, | |
| "harness|arc:easy|0": 1.0, | |
| "harness|lambada:openai|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|hellaswag|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": 1714605116.6428869, | |
| "config": { | |
| "model": "hf", | |
| "model_args": "pretrained=TheBloke/SOLAR-10.7B-Instruct-v1.0-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 | |
| } | |
| } |