|
{ |
|
"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": "2024-05-15-00-27-07", |
|
"total_evaluation_time_secondes": "", |
|
"model_name": "kreas/Mistral-7B-v0.1-GPTQ-2bit", |
|
"model_sha": "", |
|
"model_dtype": "2bit", |
|
"model_size": 2.4, |
|
"model_params": 7, |
|
"quant_type": "GPTQ", |
|
"precision": "2bit" |
|
}, |
|
"results": { |
|
"harness|truthfulqa:mc1|0": { |
|
"acc,none": 0.2521419828641371, |
|
"acc_stderr,none": 0.015201522246299965, |
|
"alias": "truthfulqa_mc1" |
|
}, |
|
"harness|winogrande|0": { |
|
"acc,none": 0.494869771112865, |
|
"acc_stderr,none": 0.014051745961790513, |
|
"alias": "winogrande" |
|
}, |
|
"harness|arc:easy|0": { |
|
"acc,none": 0.2916666666666667, |
|
"acc_stderr,none": 0.009326752065621158, |
|
"acc_norm,none": 0.2962962962962963, |
|
"acc_norm_stderr,none": 0.009369711585684308, |
|
"alias": "arc_easy" |
|
}, |
|
"harness|lambada:openai|0": { |
|
"perplexity,none": 32349.9573081135, |
|
"perplexity_stderr,none": 2095.2762937765037, |
|
"acc,none": 0.021540849990296915, |
|
"acc_stderr,none": 0.0020226225294743745, |
|
"alias": "lambada_openai" |
|
}, |
|
"harness|boolq|0": { |
|
"acc,none": 0.4434250764525994, |
|
"acc_stderr,none": 0.008688893661318225, |
|
"alias": "boolq" |
|
}, |
|
"harness|truthfulqa:mc2|0": { |
|
"acc,none": 0.4652237988680654, |
|
"acc_stderr,none": 0.015979473562610813, |
|
"alias": "truthfulqa_mc2" |
|
}, |
|
"harness|arc:challenge|0": { |
|
"acc,none": 0.20477815699658702, |
|
"acc_stderr,none": 0.01179254433851342, |
|
"acc_norm,none": 0.25853242320819114, |
|
"acc_norm_stderr,none": 0.012794553754288684, |
|
"alias": "arc_challenge" |
|
}, |
|
"harness|openbookqa|0": { |
|
"acc,none": 0.12, |
|
"acc_stderr,none": 0.014547276256845676, |
|
"acc_norm,none": 0.254, |
|
"acc_norm_stderr,none": 0.01948659680164337, |
|
"alias": "openbookqa" |
|
}, |
|
"harness|mmlu|0": { |
|
"acc,none": 0.241347386412192, |
|
"acc_stderr,none": 0.00360771390508836, |
|
"alias": "mmlu" |
|
}, |
|
"harness|mmlu_humanities|0": { |
|
"alias": " - humanities", |
|
"acc,none": 0.2463336875664187, |
|
"acc_stderr,none": 0.0062803360384809815 |
|
}, |
|
"harness|mmlu_formal_logic|0": { |
|
"alias": " - formal_logic", |
|
"acc,none": 0.25396825396825395, |
|
"acc_stderr,none": 0.03893259610604673 |
|
}, |
|
"harness|mmlu_high_school_european_history|0": { |
|
"alias": " - high_school_european_history", |
|
"acc,none": 0.20606060606060606, |
|
"acc_stderr,none": 0.0315841532404771 |
|
}, |
|
"harness|mmlu_high_school_us_history|0": { |
|
"alias": " - high_school_us_history", |
|
"acc,none": 0.24509803921568626, |
|
"acc_stderr,none": 0.030190282453501967 |
|
}, |
|
"harness|mmlu_high_school_world_history|0": { |
|
"alias": " - high_school_world_history", |
|
"acc,none": 0.2911392405063291, |
|
"acc_stderr,none": 0.029571601065753374 |
|
}, |
|
"harness|mmlu_international_law|0": { |
|
"alias": " - international_law", |
|
"acc,none": 0.23140495867768596, |
|
"acc_stderr,none": 0.03849856098794089 |
|
}, |
|
"harness|mmlu_jurisprudence|0": { |
|
"alias": " - jurisprudence", |
|
"acc,none": 0.32407407407407407, |
|
"acc_stderr,none": 0.04524596007030049 |
|
}, |
|
"harness|mmlu_logical_fallacies|0": { |
|
"alias": " - logical_fallacies", |
|
"acc,none": 0.22085889570552147, |
|
"acc_stderr,none": 0.03259177392742178 |
|
}, |
|
"harness|mmlu_moral_disputes|0": { |
|
"alias": " - moral_disputes", |
|
"acc,none": 0.25722543352601157, |
|
"acc_stderr,none": 0.023532925431044297 |
|
}, |
|
"harness|mmlu_moral_scenarios|0": { |
|
"alias": " - moral_scenarios", |
|
"acc,none": 0.2569832402234637, |
|
"acc_stderr,none": 0.014614465821966356 |
|
}, |
|
"harness|mmlu_philosophy|0": { |
|
"alias": " - philosophy", |
|
"acc,none": 0.2090032154340836, |
|
"acc_stderr,none": 0.02309314039837422 |
|
}, |
|
"harness|mmlu_prehistory|0": { |
|
"alias": " - prehistory", |
|
"acc,none": 0.22839506172839505, |
|
"acc_stderr,none": 0.023358211840626267 |
|
}, |
|
"harness|mmlu_professional_law|0": { |
|
"alias": " - professional_law", |
|
"acc,none": 0.23859191655801826, |
|
"acc_stderr,none": 0.010885929742002205 |
|
}, |
|
"harness|mmlu_world_religions|0": { |
|
"alias": " - world_religions", |
|
"acc,none": 0.2982456140350877, |
|
"acc_stderr,none": 0.035087719298245654 |
|
}, |
|
"harness|mmlu_other|0": { |
|
"alias": " - other", |
|
"acc,none": 0.25523012552301255, |
|
"acc_stderr,none": 0.007826615150571035 |
|
}, |
|
"harness|mmlu_business_ethics|0": { |
|
"alias": " - business_ethics", |
|
"acc,none": 0.25, |
|
"acc_stderr,none": 0.04351941398892446 |
|
}, |
|
"harness|mmlu_clinical_knowledge|0": { |
|
"alias": " - clinical_knowledge", |
|
"acc,none": 0.26037735849056604, |
|
"acc_stderr,none": 0.02700876609070809 |
|
}, |
|
"harness|mmlu_college_medicine|0": { |
|
"alias": " - college_medicine", |
|
"acc,none": 0.2543352601156069, |
|
"acc_stderr,none": 0.0332055644308557 |
|
}, |
|
"harness|mmlu_global_facts|0": { |
|
"alias": " - global_facts", |
|
"acc,none": 0.24, |
|
"acc_stderr,none": 0.04292346959909283 |
|
}, |
|
"harness|mmlu_human_aging|0": { |
|
"alias": " - human_aging", |
|
"acc,none": 0.2825112107623318, |
|
"acc_stderr,none": 0.03021683101150878 |
|
}, |
|
"harness|mmlu_management|0": { |
|
"alias": " - management", |
|
"acc,none": 0.1941747572815534, |
|
"acc_stderr,none": 0.03916667762822583 |
|
}, |
|
"harness|mmlu_marketing|0": { |
|
"alias": " - marketing", |
|
"acc,none": 0.26495726495726496, |
|
"acc_stderr,none": 0.028911208802749482 |
|
}, |
|
"harness|mmlu_medical_genetics|0": { |
|
"alias": " - medical_genetics", |
|
"acc,none": 0.28, |
|
"acc_stderr,none": 0.045126085985421276 |
|
}, |
|
"harness|mmlu_miscellaneous|0": { |
|
"alias": " - miscellaneous", |
|
"acc,none": 0.2681992337164751, |
|
"acc_stderr,none": 0.015842430835269445 |
|
}, |
|
"harness|mmlu_nutrition|0": { |
|
"alias": " - nutrition", |
|
"acc,none": 0.21241830065359477, |
|
"acc_stderr,none": 0.023420375478296132 |
|
}, |
|
"harness|mmlu_professional_accounting|0": { |
|
"alias": " - professional_accounting", |
|
"acc,none": 0.24822695035460993, |
|
"acc_stderr,none": 0.025770015644290406 |
|
}, |
|
"harness|mmlu_professional_medicine|0": { |
|
"alias": " - professional_medicine", |
|
"acc,none": 0.23529411764705882, |
|
"acc_stderr,none": 0.025767252010855984 |
|
}, |
|
"harness|mmlu_virology|0": { |
|
"alias": " - virology", |
|
"acc,none": 0.29518072289156627, |
|
"acc_stderr,none": 0.0355092018568963 |
|
}, |
|
"harness|mmlu_social_sciences|0": { |
|
"alias": " - social_sciences", |
|
"acc,none": 0.22684432889177772, |
|
"acc_stderr,none": 0.007551233956089617 |
|
}, |
|
"harness|mmlu_econometrics|0": { |
|
"alias": " - econometrics", |
|
"acc,none": 0.21929824561403508, |
|
"acc_stderr,none": 0.038924311065187525 |
|
}, |
|
"harness|mmlu_high_school_geography|0": { |
|
"alias": " - high_school_geography", |
|
"acc,none": 0.20707070707070707, |
|
"acc_stderr,none": 0.02886977846026704 |
|
}, |
|
"harness|mmlu_high_school_government_and_politics|0": { |
|
"alias": " - high_school_government_and_politics", |
|
"acc,none": 0.23834196891191708, |
|
"acc_stderr,none": 0.030748905363909902 |
|
}, |
|
"harness|mmlu_high_school_macroeconomics|0": { |
|
"alias": " - high_school_macroeconomics", |
|
"acc,none": 0.2282051282051282, |
|
"acc_stderr,none": 0.021278393863586275 |
|
}, |
|
"harness|mmlu_high_school_microeconomics|0": { |
|
"alias": " - high_school_microeconomics", |
|
"acc,none": 0.24369747899159663, |
|
"acc_stderr,none": 0.027886828078380554 |
|
}, |
|
"harness|mmlu_high_school_psychology|0": { |
|
"alias": " - high_school_psychology", |
|
"acc,none": 0.1889908256880734, |
|
"acc_stderr,none": 0.01678548115920362 |
|
}, |
|
"harness|mmlu_human_sexuality|0": { |
|
"alias": " - human_sexuality", |
|
"acc,none": 0.2824427480916031, |
|
"acc_stderr,none": 0.03948406125768361 |
|
}, |
|
"harness|mmlu_professional_psychology|0": { |
|
"alias": " - professional_psychology", |
|
"acc,none": 0.24673202614379086, |
|
"acc_stderr,none": 0.017440820367402507 |
|
}, |
|
"harness|mmlu_public_relations|0": { |
|
"alias": " - public_relations", |
|
"acc,none": 0.22727272727272727, |
|
"acc_stderr,none": 0.040139645540727735 |
|
}, |
|
"harness|mmlu_security_studies|0": { |
|
"alias": " - security_studies", |
|
"acc,none": 0.2, |
|
"acc_stderr,none": 0.025607375986579153 |
|
}, |
|
"harness|mmlu_sociology|0": { |
|
"alias": " - sociology", |
|
"acc,none": 0.24875621890547264, |
|
"acc_stderr,none": 0.03056767593891672 |
|
}, |
|
"harness|mmlu_us_foreign_policy|0": { |
|
"alias": " - us_foreign_policy", |
|
"acc,none": 0.24, |
|
"acc_stderr,none": 0.04292346959909282 |
|
}, |
|
"harness|mmlu_stem|0": { |
|
"alias": " - stem", |
|
"acc,none": 0.23437995559784333, |
|
"acc_stderr,none": 0.007518994303407856 |
|
}, |
|
"harness|mmlu_abstract_algebra|0": { |
|
"alias": " - abstract_algebra", |
|
"acc,none": 0.2, |
|
"acc_stderr,none": 0.04020151261036844 |
|
}, |
|
"harness|mmlu_anatomy|0": { |
|
"alias": " - anatomy", |
|
"acc,none": 0.17777777777777778, |
|
"acc_stderr,none": 0.03302789859901718 |
|
}, |
|
"harness|mmlu_astronomy|0": { |
|
"alias": " - astronomy", |
|
"acc,none": 0.17105263157894737, |
|
"acc_stderr,none": 0.030643607071677088 |
|
}, |
|
"harness|mmlu_college_biology|0": { |
|
"alias": " - college_biology", |
|
"acc,none": 0.2638888888888889, |
|
"acc_stderr,none": 0.03685651095897532 |
|
}, |
|
"harness|mmlu_college_chemistry|0": { |
|
"alias": " - college_chemistry", |
|
"acc,none": 0.23, |
|
"acc_stderr,none": 0.04229525846816506 |
|
}, |
|
"harness|mmlu_college_computer_science|0": { |
|
"alias": " - college_computer_science", |
|
"acc,none": 0.26, |
|
"acc_stderr,none": 0.04408440022768079 |
|
}, |
|
"harness|mmlu_college_mathematics|0": { |
|
"alias": " - college_mathematics", |
|
"acc,none": 0.25, |
|
"acc_stderr,none": 0.04351941398892446 |
|
}, |
|
"harness|mmlu_college_physics|0": { |
|
"alias": " - college_physics", |
|
"acc,none": 0.3333333333333333, |
|
"acc_stderr,none": 0.04690650298201942 |
|
}, |
|
"harness|mmlu_computer_security|0": { |
|
"alias": " - computer_security", |
|
"acc,none": 0.31, |
|
"acc_stderr,none": 0.04648231987117316 |
|
}, |
|
"harness|mmlu_conceptual_physics|0": { |
|
"alias": " - conceptual_physics", |
|
"acc,none": 0.2425531914893617, |
|
"acc_stderr,none": 0.028020226271200214 |
|
}, |
|
"harness|mmlu_electrical_engineering|0": { |
|
"alias": " - electrical_engineering", |
|
"acc,none": 0.33793103448275863, |
|
"acc_stderr,none": 0.039417076320648906 |
|
}, |
|
"harness|mmlu_elementary_mathematics|0": { |
|
"alias": " - elementary_mathematics", |
|
"acc,none": 0.20899470899470898, |
|
"acc_stderr,none": 0.020940481565334842 |
|
}, |
|
"harness|mmlu_high_school_biology|0": { |
|
"alias": " - high_school_biology", |
|
"acc,none": 0.20967741935483872, |
|
"acc_stderr,none": 0.02315787934908353 |
|
}, |
|
"harness|mmlu_high_school_chemistry|0": { |
|
"alias": " - high_school_chemistry", |
|
"acc,none": 0.21674876847290642, |
|
"acc_stderr,none": 0.02899033125251624 |
|
}, |
|
"harness|mmlu_high_school_computer_science|0": { |
|
"alias": " - high_school_computer_science", |
|
"acc,none": 0.26, |
|
"acc_stderr,none": 0.04408440022768078 |
|
}, |
|
"harness|mmlu_high_school_mathematics|0": { |
|
"alias": " - high_school_mathematics", |
|
"acc,none": 0.1925925925925926, |
|
"acc_stderr,none": 0.02404307518194519 |
|
}, |
|
"harness|mmlu_high_school_physics|0": { |
|
"alias": " - high_school_physics", |
|
"acc,none": 0.2582781456953642, |
|
"acc_stderr,none": 0.035737053147634576 |
|
}, |
|
"harness|mmlu_high_school_statistics|0": { |
|
"alias": " - high_school_statistics", |
|
"acc,none": 0.19907407407407407, |
|
"acc_stderr,none": 0.027232298462690225 |
|
}, |
|
"harness|mmlu_machine_learning|0": { |
|
"alias": " - machine_learning", |
|
"acc,none": 0.3392857142857143, |
|
"acc_stderr,none": 0.04493949068613539 |
|
}, |
|
"harness|hellaswag|0": { |
|
"acc,none": 0.2787293367855009, |
|
"acc_stderr,none": 0.004474577054517459, |
|
"acc_norm,none": 0.2953594901414061, |
|
"acc_norm_stderr,none": 0.004552718360513102, |
|
"alias": "hellaswag" |
|
}, |
|
"harness|piqa|0": { |
|
"acc,none": 0.544069640914037, |
|
"acc_stderr,none": 0.011620422647622235, |
|
"acc_norm,none": 0.5402611534276387, |
|
"acc_norm_stderr,none": 0.011627942981817168, |
|
"alias": "piqa" |
|
} |
|
}, |
|
"task_info": { |
|
"model": "kreas/Mistral-7B-v0.1-GPTQ-2bit", |
|
"revision": "main", |
|
"private": false, |
|
"params": 7, |
|
"architectures": "MistralForCausalLM", |
|
"quant_type": "GPTQ", |
|
"precision": "2bit", |
|
"model_params": 7, |
|
"model_size": 2.4, |
|
"weight_dtype": "int2", |
|
"compute_dtype": "float16", |
|
"gguf_ftype": "*Q4_0.gguf", |
|
"hardware": "gpu", |
|
"status": "Waiting", |
|
"submitted_time": "2024-05-13T11:54:45Z", |
|
"model_type": "quantization", |
|
"job_id": -1, |
|
"job_start_time": null, |
|
"scripts": "ITREX" |
|
}, |
|
"quantization_config": { |
|
"batch_size": 1, |
|
"bits": 2, |
|
"block_name_to_quantize": null, |
|
"cache_block_outputs": true, |
|
"damp_percent": 0.1, |
|
"dataset": "wikitext2", |
|
"desc_act": false, |
|
"exllama_config": { |
|
"version": 1 |
|
}, |
|
"group_size": 128, |
|
"max_input_length": null, |
|
"model_seqlen": null, |
|
"module_name_preceding_first_block": null, |
|
"modules_in_block_to_quantize": null, |
|
"pad_token_id": null, |
|
"quant_method": "gptq", |
|
"sym": true, |
|
"tokenizer": null, |
|
"true_sequential": true, |
|
"use_cuda_fp16": false, |
|
"use_exllama": true |
|
}, |
|
"versions": { |
|
"harness|truthfulqa:mc1|0": 2.0, |
|
"harness|winogrande|0": 1.0, |
|
"harness|arc:easy|0": 1.0, |
|
"harness|lambada:openai|0": 1.0, |
|
"harness|boolq|0": 2.0, |
|
"harness|truthfulqa:mc2|0": 2.0, |
|
"harness|arc:challenge|0": 1.0, |
|
"harness|openbookqa|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|hellaswag|0": 1.0, |
|
"harness|piqa|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": 1715693601.6570477, |
|
"config": { |
|
"model": "hf", |
|
"model_args": "pretrained=kreas/Mistral-7B-v0.1-GPTQ-2bit,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 |
|
} |
|
} |
|
|