|
{ |
|
"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": "EleutherAI/gpt-j-6b", |
|
"model_sha": "", |
|
"model_dtype": "32bit", |
|
"model_size": 24.0, |
|
"model_params": 6.0, |
|
"quant_type": null, |
|
"precision": "32bit" |
|
}, |
|
"results": { |
|
"harness|hellaswag|0": { |
|
"acc,none": 0.4954192391953794, |
|
"acc_stderr,none": 0.004989572002196689, |
|
"acc_norm,none": 0.6624178450507867, |
|
"acc_norm_stderr,none": 0.004719187890948097, |
|
"alias": "hellaswag" |
|
}, |
|
"harness|truthfulqa:mc1|0": { |
|
"acc,none": 0.20195838433292534, |
|
"acc_stderr,none": 0.01405395744151236, |
|
"alias": "truthfulqa_mc1" |
|
}, |
|
"harness|openbookqa|0": { |
|
"acc,none": 0.288, |
|
"acc_stderr,none": 0.02027150383507522, |
|
"acc_norm,none": 0.382, |
|
"acc_norm_stderr,none": 0.021750820591250834, |
|
"alias": "openbookqa" |
|
}, |
|
"harness|lambada:openai|0": { |
|
"perplexity,none": 4.102596264046853, |
|
"perplexity_stderr,none": 0.08851218184790374, |
|
"acc,none": 0.6827091014942752, |
|
"acc_stderr,none": 0.006484234706911054, |
|
"alias": "lambada_openai" |
|
}, |
|
"harness|piqa|0": { |
|
"acc,none": 0.7535364526659413, |
|
"acc_stderr,none": 0.01005481078967182, |
|
"acc_norm,none": 0.7616974972796517, |
|
"acc_norm_stderr,none": 0.009940334245876209, |
|
"alias": "piqa" |
|
}, |
|
"harness|mmlu|0": { |
|
"acc,none": 0.2593647628542943, |
|
"acc_stderr,none": 0.0036927373905284726, |
|
"alias": "mmlu" |
|
}, |
|
"harness|mmlu_humanities|0": { |
|
"alias": " - humanities", |
|
"acc,none": 0.25270988310308184, |
|
"acc_stderr,none": 0.006332069946024035 |
|
}, |
|
"harness|mmlu_formal_logic|0": { |
|
"alias": " - formal_logic", |
|
"acc,none": 0.25396825396825395, |
|
"acc_stderr,none": 0.03893259610604674 |
|
}, |
|
"harness|mmlu_high_school_european_history|0": { |
|
"alias": " - high_school_european_history", |
|
"acc,none": 0.21212121212121213, |
|
"acc_stderr,none": 0.03192271569548299 |
|
}, |
|
"harness|mmlu_high_school_us_history|0": { |
|
"alias": " - high_school_us_history", |
|
"acc,none": 0.24019607843137256, |
|
"acc_stderr,none": 0.02998373305591361 |
|
}, |
|
"harness|mmlu_high_school_world_history|0": { |
|
"alias": " - high_school_world_history", |
|
"acc,none": 0.28270042194092826, |
|
"acc_stderr,none": 0.029312814153955927 |
|
}, |
|
"harness|mmlu_international_law|0": { |
|
"alias": " - international_law", |
|
"acc,none": 0.256198347107438, |
|
"acc_stderr,none": 0.039849796533028725 |
|
}, |
|
"harness|mmlu_jurisprudence|0": { |
|
"alias": " - jurisprudence", |
|
"acc,none": 0.25925925925925924, |
|
"acc_stderr,none": 0.04236511258094632 |
|
}, |
|
"harness|mmlu_logical_fallacies|0": { |
|
"alias": " - logical_fallacies", |
|
"acc,none": 0.19631901840490798, |
|
"acc_stderr,none": 0.031207970394709218 |
|
}, |
|
"harness|mmlu_moral_disputes|0": { |
|
"alias": " - moral_disputes", |
|
"acc,none": 0.28901734104046245, |
|
"acc_stderr,none": 0.02440517393578323 |
|
}, |
|
"harness|mmlu_moral_scenarios|0": { |
|
"alias": " - moral_scenarios", |
|
"acc,none": 0.2424581005586592, |
|
"acc_stderr,none": 0.014333522059217887 |
|
}, |
|
"harness|mmlu_philosophy|0": { |
|
"alias": " - philosophy", |
|
"acc,none": 0.22186495176848875, |
|
"acc_stderr,none": 0.023598858292863047 |
|
}, |
|
"harness|mmlu_prehistory|0": { |
|
"alias": " - prehistory", |
|
"acc,none": 0.3148148148148148, |
|
"acc_stderr,none": 0.025842248700902168 |
|
}, |
|
"harness|mmlu_professional_law|0": { |
|
"alias": " - professional_law", |
|
"acc,none": 0.24641460234680573, |
|
"acc_stderr,none": 0.011005971399927232 |
|
}, |
|
"harness|mmlu_world_religions|0": { |
|
"alias": " - world_religions", |
|
"acc,none": 0.28654970760233917, |
|
"acc_stderr,none": 0.034678266857038266 |
|
}, |
|
"harness|mmlu_other|0": { |
|
"alias": " - other", |
|
"acc,none": 0.2777598970067589, |
|
"acc_stderr,none": 0.00800529472828752 |
|
}, |
|
"harness|mmlu_business_ethics|0": { |
|
"alias": " - business_ethics", |
|
"acc,none": 0.29, |
|
"acc_stderr,none": 0.04560480215720684 |
|
}, |
|
"harness|mmlu_clinical_knowledge|0": { |
|
"alias": " - clinical_knowledge", |
|
"acc,none": 0.23773584905660378, |
|
"acc_stderr,none": 0.026199808807561932 |
|
}, |
|
"harness|mmlu_college_medicine|0": { |
|
"alias": " - college_medicine", |
|
"acc,none": 0.2254335260115607, |
|
"acc_stderr,none": 0.03186209851641144 |
|
}, |
|
"harness|mmlu_global_facts|0": { |
|
"alias": " - global_facts", |
|
"acc,none": 0.31, |
|
"acc_stderr,none": 0.04648231987117316 |
|
}, |
|
"harness|mmlu_human_aging|0": { |
|
"alias": " - human_aging", |
|
"acc,none": 0.3991031390134529, |
|
"acc_stderr,none": 0.03286745312567961 |
|
}, |
|
"harness|mmlu_management|0": { |
|
"alias": " - management", |
|
"acc,none": 0.22330097087378642, |
|
"acc_stderr,none": 0.04123553189891431 |
|
}, |
|
"harness|mmlu_marketing|0": { |
|
"alias": " - marketing", |
|
"acc,none": 0.2692307692307692, |
|
"acc_stderr,none": 0.02905858830374884 |
|
}, |
|
"harness|mmlu_medical_genetics|0": { |
|
"alias": " - medical_genetics", |
|
"acc,none": 0.33, |
|
"acc_stderr,none": 0.047258156262526045 |
|
}, |
|
"harness|mmlu_miscellaneous|0": { |
|
"alias": " - miscellaneous", |
|
"acc,none": 0.2720306513409962, |
|
"acc_stderr,none": 0.015913367447500503 |
|
}, |
|
"harness|mmlu_nutrition|0": { |
|
"alias": " - nutrition", |
|
"acc,none": 0.3104575163398693, |
|
"acc_stderr,none": 0.0264930332251459 |
|
}, |
|
"harness|mmlu_professional_accounting|0": { |
|
"alias": " - professional_accounting", |
|
"acc,none": 0.2765957446808511, |
|
"acc_stderr,none": 0.026684564340460994 |
|
}, |
|
"harness|mmlu_professional_medicine|0": { |
|
"alias": " - professional_medicine", |
|
"acc,none": 0.19852941176470587, |
|
"acc_stderr,none": 0.024231013370541093 |
|
}, |
|
"harness|mmlu_virology|0": { |
|
"alias": " - virology", |
|
"acc,none": 0.3192771084337349, |
|
"acc_stderr,none": 0.036293353299478595 |
|
}, |
|
"harness|mmlu_social_sciences|0": { |
|
"alias": " - social_sciences", |
|
"acc,none": 0.25641858953526164, |
|
"acc_stderr,none": 0.007862223264863579 |
|
}, |
|
"harness|mmlu_econometrics|0": { |
|
"alias": " - econometrics", |
|
"acc,none": 0.18421052631578946, |
|
"acc_stderr,none": 0.03646758875075566 |
|
}, |
|
"harness|mmlu_high_school_geography|0": { |
|
"alias": " - high_school_geography", |
|
"acc,none": 0.18181818181818182, |
|
"acc_stderr,none": 0.0274796030105388 |
|
}, |
|
"harness|mmlu_high_school_government_and_politics|0": { |
|
"alias": " - high_school_government_and_politics", |
|
"acc,none": 0.27461139896373055, |
|
"acc_stderr,none": 0.03221024508041154 |
|
}, |
|
"harness|mmlu_high_school_macroeconomics|0": { |
|
"alias": " - high_school_macroeconomics", |
|
"acc,none": 0.2692307692307692, |
|
"acc_stderr,none": 0.022489389793654824 |
|
}, |
|
"harness|mmlu_high_school_microeconomics|0": { |
|
"alias": " - high_school_microeconomics", |
|
"acc,none": 0.27310924369747897, |
|
"acc_stderr,none": 0.02894200404099817 |
|
}, |
|
"harness|mmlu_high_school_psychology|0": { |
|
"alias": " - high_school_psychology", |
|
"acc,none": 0.24036697247706423, |
|
"acc_stderr,none": 0.01832060732096407 |
|
}, |
|
"harness|mmlu_human_sexuality|0": { |
|
"alias": " - human_sexuality", |
|
"acc,none": 0.29770992366412213, |
|
"acc_stderr,none": 0.040103589424622034 |
|
}, |
|
"harness|mmlu_professional_psychology|0": { |
|
"alias": " - professional_psychology", |
|
"acc,none": 0.24509803921568626, |
|
"acc_stderr,none": 0.017401816711427657 |
|
}, |
|
"harness|mmlu_public_relations|0": { |
|
"alias": " - public_relations", |
|
"acc,none": 0.3090909090909091, |
|
"acc_stderr,none": 0.044262946482000985 |
|
}, |
|
"harness|mmlu_security_studies|0": { |
|
"alias": " - security_studies", |
|
"acc,none": 0.2938775510204082, |
|
"acc_stderr,none": 0.029162738410249772 |
|
}, |
|
"harness|mmlu_sociology|0": { |
|
"alias": " - sociology", |
|
"acc,none": 0.24378109452736318, |
|
"acc_stderr,none": 0.030360490154014645 |
|
}, |
|
"harness|mmlu_us_foreign_policy|0": { |
|
"alias": " - us_foreign_policy", |
|
"acc,none": 0.34, |
|
"acc_stderr,none": 0.04760952285695236 |
|
}, |
|
"harness|mmlu_stem|0": { |
|
"alias": " - stem", |
|
"acc,none": 0.25404376784015226, |
|
"acc_stderr,none": 0.007751242884532469 |
|
}, |
|
"harness|mmlu_abstract_algebra|0": { |
|
"alias": " - abstract_algebra", |
|
"acc,none": 0.29, |
|
"acc_stderr,none": 0.04560480215720683 |
|
}, |
|
"harness|mmlu_anatomy|0": { |
|
"alias": " - anatomy", |
|
"acc,none": 0.24444444444444444, |
|
"acc_stderr,none": 0.03712537833614866 |
|
}, |
|
"harness|mmlu_astronomy|0": { |
|
"alias": " - astronomy", |
|
"acc,none": 0.2631578947368421, |
|
"acc_stderr,none": 0.03583496176361061 |
|
}, |
|
"harness|mmlu_college_biology|0": { |
|
"alias": " - college_biology", |
|
"acc,none": 0.2152777777777778, |
|
"acc_stderr,none": 0.03437079344106133 |
|
}, |
|
"harness|mmlu_college_chemistry|0": { |
|
"alias": " - college_chemistry", |
|
"acc,none": 0.26, |
|
"acc_stderr,none": 0.0440844002276808 |
|
}, |
|
"harness|mmlu_college_computer_science|0": { |
|
"alias": " - college_computer_science", |
|
"acc,none": 0.23, |
|
"acc_stderr,none": 0.04229525846816506 |
|
}, |
|
"harness|mmlu_college_mathematics|0": { |
|
"alias": " - college_mathematics", |
|
"acc,none": 0.28, |
|
"acc_stderr,none": 0.045126085985421276 |
|
}, |
|
"harness|mmlu_college_physics|0": { |
|
"alias": " - college_physics", |
|
"acc,none": 0.20588235294117646, |
|
"acc_stderr,none": 0.04023382273617746 |
|
}, |
|
"harness|mmlu_computer_security|0": { |
|
"alias": " - computer_security", |
|
"acc,none": 0.29, |
|
"acc_stderr,none": 0.04560480215720683 |
|
}, |
|
"harness|mmlu_conceptual_physics|0": { |
|
"alias": " - conceptual_physics", |
|
"acc,none": 0.31063829787234043, |
|
"acc_stderr,none": 0.03025123757921317 |
|
}, |
|
"harness|mmlu_electrical_engineering|0": { |
|
"alias": " - electrical_engineering", |
|
"acc,none": 0.3103448275862069, |
|
"acc_stderr,none": 0.03855289616378947 |
|
}, |
|
"harness|mmlu_elementary_mathematics|0": { |
|
"alias": " - elementary_mathematics", |
|
"acc,none": 0.24867724867724866, |
|
"acc_stderr,none": 0.02226181769240016 |
|
}, |
|
"harness|mmlu_high_school_biology|0": { |
|
"alias": " - high_school_biology", |
|
"acc,none": 0.23225806451612904, |
|
"acc_stderr,none": 0.024022256130308235 |
|
}, |
|
"harness|mmlu_high_school_chemistry|0": { |
|
"alias": " - high_school_chemistry", |
|
"acc,none": 0.270935960591133, |
|
"acc_stderr,none": 0.031270907132976984 |
|
}, |
|
"harness|mmlu_high_school_computer_science|0": { |
|
"alias": " - high_school_computer_science", |
|
"acc,none": 0.23, |
|
"acc_stderr,none": 0.04229525846816506 |
|
}, |
|
"harness|mmlu_high_school_mathematics|0": { |
|
"alias": " - high_school_mathematics", |
|
"acc,none": 0.24444444444444444, |
|
"acc_stderr,none": 0.026202766534652148 |
|
}, |
|
"harness|mmlu_high_school_physics|0": { |
|
"alias": " - high_school_physics", |
|
"acc,none": 0.23841059602649006, |
|
"acc_stderr,none": 0.03479185572599661 |
|
}, |
|
"harness|mmlu_high_school_statistics|0": { |
|
"alias": " - high_school_statistics", |
|
"acc,none": 0.18981481481481483, |
|
"acc_stderr,none": 0.026744714834691916 |
|
}, |
|
"harness|mmlu_machine_learning|0": { |
|
"alias": " - machine_learning", |
|
"acc,none": 0.32142857142857145, |
|
"acc_stderr,none": 0.04432804055291519 |
|
}, |
|
"harness|truthfulqa:mc2|0": { |
|
"acc,none": 0.359663881399798, |
|
"acc_stderr,none": 0.013461833560008199, |
|
"alias": "truthfulqa_mc2" |
|
}, |
|
"harness|arc:easy|0": { |
|
"acc,none": 0.67003367003367, |
|
"acc_stderr,none": 0.009648311574241042, |
|
"acc_norm,none": 0.6224747474747475, |
|
"acc_norm_stderr,none": 0.009947227833469432, |
|
"alias": "arc_easy" |
|
}, |
|
"harness|winogrande|0": { |
|
"acc,none": 0.6408839779005525, |
|
"acc_stderr,none": 0.013483115202120236, |
|
"alias": "winogrande" |
|
}, |
|
"harness|boolq|0": { |
|
"acc,none": 0.655045871559633, |
|
"acc_stderr,none": 0.008313981812572256, |
|
"alias": "boolq" |
|
}, |
|
"harness|arc:challenge|0": { |
|
"acc,none": 0.3387372013651877, |
|
"acc_stderr,none": 0.013830568927974332, |
|
"acc_norm,none": 0.363481228668942, |
|
"acc_norm_stderr,none": 0.014056207319068282, |
|
"alias": "arc_challenge" |
|
} |
|
}, |
|
"task_info": { |
|
"model": "EleutherAI/gpt-j-6b", |
|
"revision": "main", |
|
"private": false, |
|
"params": 6.0, |
|
"architectures": "GPTJForCausalLM", |
|
"quant_type": null, |
|
"precision": "32bit", |
|
"model_params": 6.0, |
|
"model_size": 24.0, |
|
"weight_dtype": "float32", |
|
"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|hellaswag|0": 1.0, |
|
"harness|truthfulqa:mc1|0": 2.0, |
|
"harness|openbookqa|0": 1.0, |
|
"harness|lambada:openai|0": 1.0, |
|
"harness|piqa|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|arc:easy|0": 1.0, |
|
"harness|winogrande|0": 1.0, |
|
"harness|boolq|0": 2.0, |
|
"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": 1716060228.1085954, |
|
"config": { |
|
"model": "hf", |
|
"model_args": "pretrained=EleutherAI/gpt-j-6b,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 |
|
} |
|
} |
|
|