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2026-08-09:23:20:43,827 INFO [__main__.py:251] Verbosity set to INFO
2026-08-09:23:20:46,667 INFO [__main__.py:335] Selected Tasks: ['mmlu']
2026-08-09:23:20:46,667 INFO [__main__.py:336] Loading selected tasks...
2026-08-09:23:20:46,669 INFO [evaluator.py:131] Setting random seed to 0 | Setting numpy seed to 1234 | Setting torch manual seed to 1234
2026-08-09:23:20:46,728 INFO [huggingface.py:162] Using device 'cuda:0'
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2026-08-09:23:23:23,104 WARNING [evaluator.py:222] Overwriting default num_fewshot of mmlu_computer_security from None to 5
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2026-08-09:23:23:23,104 WARNING [evaluator.py:222] Overwriting default num_fewshot of mmlu_anatomy from None to 5
2026-08-09:23:23:23,105 WARNING [evaluator.py:222] Overwriting default num_fewshot of mmlu_high_school_physics from None to 5
2026-08-09:23:23:23,105 WARNING [evaluator.py:222] Overwriting default num_fewshot of mmlu_high_school_computer_science from None to 5
2026-08-09:23:23:23,105 WARNING [evaluator.py:222] Overwriting default num_fewshot of mmlu_college_computer_science from None to 5
2026-08-09:23:23:23,109 INFO [task.py:395] Building contexts for mmlu_international_law on rank 0...
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2026-08-09:23:23:24,300 INFO [task.py:395] Building contexts for mmlu_moral_scenarios on rank 0...
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2026-08-09:23:23:32,778 INFO [task.py:395] Building contexts for mmlu_jurisprudence on rank 0...
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2026-08-09:23:23:33,799 INFO [task.py:395] Building contexts for mmlu_professional_law on rank 0...
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2026-08-09:23:23:48,429 INFO [task.py:395] Building contexts for mmlu_high_school_world_history on rank 0...
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2026-08-09:23:23:50,689 INFO [task.py:395] Building contexts for mmlu_world_religions on rank 0...
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2026-08-09:23:23:52,322 INFO [task.py:395] Building contexts for mmlu_logical_fallacies on rank 0...
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2026-08-09:23:23:53,846 INFO [task.py:395] Building contexts for mmlu_prehistory on rank 0...
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2026-08-09:23:23:56,900 INFO [task.py:395] Building contexts for mmlu_formal_logic on rank 0...
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2026-08-09:23:23:58,085 INFO [task.py:395] Building contexts for mmlu_high_school_european_history on rank 0...
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2026-08-09:23:23:59,642 INFO [task.py:395] Building contexts for mmlu_high_school_us_history on rank 0...
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2026-08-09:23:24:01,549 INFO [task.py:395] Building contexts for mmlu_philosophy on rank 0...
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2026-08-09:23:24:04,459 INFO [task.py:395] Building contexts for mmlu_moral_disputes on rank 0...
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2026-08-09:23:24:07,708 INFO [task.py:395] Building contexts for mmlu_professional_psychology on rank 0...
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2026-08-09:23:24:20,794 INFO [task.py:395] Building contexts for mmlu_high_school_macroeconomics on rank 0...
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2026-08-09:23:24:24,418 INFO [task.py:395] Building contexts for mmlu_us_foreign_policy on rank 0...
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2026-08-09:23:24:25,346 INFO [task.py:395] Building contexts for mmlu_high_school_government_and_politics on rank 0...
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2026-08-09:23:24:27,147 INFO [task.py:395] Building contexts for mmlu_human_sexuality on rank 0...
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2026-08-09:23:24:28,366 INFO [task.py:395] Building contexts for mmlu_econometrics on rank 0...
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2026-08-09:23:24:29,429 INFO [task.py:395] Building contexts for mmlu_public_relations on rank 0...
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2026-08-09:23:24:30,458 INFO [task.py:395] Building contexts for mmlu_sociology on rank 0...
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2026-08-09:23:24:32,336 INFO [task.py:395] Building contexts for mmlu_high_school_geography on rank 0...
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2026-08-09:23:24:34,193 INFO [task.py:395] Building contexts for mmlu_high_school_microeconomics on rank 0...
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2026-08-09:23:24:36,414 INFO [task.py:395] Building contexts for mmlu_management on rank 0...
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2026-08-09:23:24:37,373 INFO [task.py:395] Building contexts for mmlu_professional_accounting on rank 0...
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2026-08-09:23:24:39,998 INFO [task.py:395] Building contexts for mmlu_college_medicine on rank 0...
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2026-08-09:23:24:44,098 INFO [task.py:395] Building contexts for mmlu_virology on rank 0...
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2026-08-09:23:24:45,654 INFO [task.py:395] Building contexts for mmlu_marketing on rank 0...
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2026-08-09:23:24:47,836 INFO [task.py:395] Building contexts for mmlu_nutrition on rank 0...
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2026-08-09:23:24:50,897 INFO [task.py:395] Building contexts for mmlu_medical_genetics on rank 0...
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2026-08-09:23:24:51,839 INFO [task.py:395] Building contexts for mmlu_global_facts on rank 0...
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2026-08-09:23:24:52,768 INFO [task.py:395] Building contexts for mmlu_miscellaneous on rank 0...
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2026-08-09:23:25:00,099 INFO [task.py:395] Building contexts for mmlu_professional_medicine on rank 0...
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2026-08-09:23:25:02,652 INFO [task.py:395] Building contexts for mmlu_human_aging on rank 0...
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2026-08-09:23:25:04,729 INFO [task.py:395] Building contexts for mmlu_business_ethics on rank 0...
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2026-08-09:23:25:05,669 INFO [task.py:395] Building contexts for mmlu_high_school_mathematics on rank 0...
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2026-08-09:23:25:10,091 INFO [task.py:395] Building contexts for mmlu_astronomy on rank 0...
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2026-08-09:23:25:11,498 INFO [task.py:395] Building contexts for mmlu_conceptual_physics on rank 0...
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2026-08-09:23:25:13,675 INFO [task.py:395] Building contexts for mmlu_abstract_algebra on rank 0...
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2026-08-09:23:25:14,609 INFO [task.py:395] Building contexts for mmlu_college_biology on rank 0...
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2026-08-09:23:25:15,948 INFO [task.py:395] Building contexts for mmlu_machine_learning on rank 0...
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2026-08-09:23:25:16,994 INFO [task.py:395] Building contexts for mmlu_college_physics on rank 0...
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2026-08-09:23:25:17,949 INFO [task.py:395] Building contexts for mmlu_college_mathematics on rank 0...
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2026-08-09:23:25:19,819 INFO [task.py:395] Building contexts for mmlu_electrical_engineering on rank 0...
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2026-08-09:23:25:21,169 INFO [task.py:395] Building contexts for mmlu_college_chemistry on rank 0...
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2026-08-09:23:25:22,115 INFO [task.py:395] Building contexts for mmlu_elementary_mathematics on rank 0...
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2026-08-09:23:25:25,642 INFO [task.py:395] Building contexts for mmlu_high_school_statistics on rank 0...
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2026-08-09:23:25:27,657 INFO [task.py:395] Building contexts for mmlu_high_school_biology on rank 0...
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2026-08-09:23:25:31,831 INFO [task.py:395] Building contexts for mmlu_high_school_physics on rank 0...
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2026-08-09:23:25:34,179 INFO [task.py:395] Building contexts for mmlu_college_computer_science on rank 0...
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2026-08-09:23:25:35,110 INFO [evaluator.py:362] Running loglikelihood requests
Token indices sequence length is longer than the specified maximum sequence length for this model (1682 > 1024). Running this sequence through the model will result in indexing errors
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fatal: not a git repository (or any parent up to mount point /home)
Stopping at filesystem boundary (GIT_DISCOVERY_ACROSS_FILESYSTEM not set).
hf (pretrained=/home/zeus/microllm2/microllm2-checkpoints/final_merged,dtype=bfloat16,trust_remote_code=False), gen_kwargs: (None), limit: None, num_fewshot: 5, batch_size: 8
| Tasks |Version|Filter|n-shot|Metric|Value | |Stderr|
|---------------------------------------|-------|------|-----:|------|-----:|---|-----:|
|mmlu |N/A |none | 0|acc |0.2610|± |0.0037|
| - humanities |N/A |none | 5|acc |0.2623|± |0.0064|
| - formal_logic | 0|none | 5|acc |0.1667|± |0.0333|
| - high_school_european_history | 0|none | 5|acc |0.2970|± |0.0357|
| - high_school_us_history | 0|none | 5|acc |0.2745|± |0.0313|
| - high_school_world_history | 0|none | 5|acc |0.2321|± |0.0275|
| - international_law | 0|none | 5|acc |0.3554|± |0.0437|
| - jurisprudence | 0|none | 5|acc |0.2870|± |0.0437|
| - logical_fallacies | 0|none | 5|acc |0.2883|± |0.0356|
| - moral_disputes | 0|none | 5|acc |0.2803|± |0.0242|
| - moral_scenarios | 0|none | 5|acc |0.2525|± |0.0145|
| - philosophy | 0|none | 5|acc |0.3248|± |0.0266|
| - prehistory | 0|none | 5|acc |0.2500|± |0.0241|
| - professional_law | 0|none | 5|acc |0.2471|± |0.0110|
| - world_religions | 0|none | 5|acc |0.2807|± |0.0345|
| - other |N/A |none | 5|acc |0.2671|± |0.0079|
| - business_ethics | 0|none | 5|acc |0.2300|± |0.0423|
| - clinical_knowledge | 0|none | 5|acc |0.2377|± |0.0262|
| - college_medicine | 0|none | 5|acc |0.2543|± |0.0332|
| - global_facts | 0|none | 5|acc |0.3100|± |0.0465|
| - human_aging | 0|none | 5|acc |0.3049|± |0.0309|
| - management | 0|none | 5|acc |0.2427|± |0.0425|
| - marketing | 0|none | 5|acc |0.2778|± |0.0293|
| - medical_genetics | 0|none | 5|acc |0.3300|± |0.0473|
| - miscellaneous | 0|none | 5|acc |0.2771|± |0.0160|
| - nutrition | 0|none | 5|acc |0.2451|± |0.0246|
| - professional_accounting | 0|none | 5|acc |0.2695|± |0.0265|
| - professional_medicine | 0|none | 5|acc |0.2169|± |0.0250|
| - virology | 0|none | 5|acc |0.3072|± |0.0359|
| - social_sciences |N/A |none | 5|acc |0.2343|± |0.0076|
| - econometrics | 0|none | 5|acc |0.2456|± |0.0405|
| - high_school_geography | 0|none | 5|acc |0.2525|± |0.0310|
| - high_school_government_and_politics| 0|none | 5|acc |0.2228|± |0.0300|
| - high_school_macroeconomics | 0|none | 5|acc |0.2462|± |0.0218|
| - high_school_microeconomics | 0|none | 5|acc |0.2059|± |0.0263|
| - high_school_psychology | 0|none | 5|acc |0.2404|± |0.0183|
| - human_sexuality | 0|none | 5|acc |0.1908|± |0.0345|
| - professional_psychology | 0|none | 5|acc |0.2647|± |0.0178|
| - public_relations | 0|none | 5|acc |0.2909|± |0.0435|
| - security_studies | 0|none | 5|acc |0.1673|± |0.0239|
| - sociology | 0|none | 5|acc |0.2239|± |0.0295|
| - us_foreign_policy | 0|none | 5|acc |0.1900|± |0.0394|
| - stem |N/A |none | 5|acc |0.2791|± |0.0080|
| - abstract_algebra | 0|none | 5|acc |0.2500|± |0.0435|
| - anatomy | 0|none | 5|acc |0.3481|± |0.0412|
| - astronomy | 0|none | 5|acc |0.3355|± |0.0384|
| - college_biology | 0|none | 5|acc |0.2847|± |0.0377|
| - college_chemistry | 0|none | 5|acc |0.1700|± |0.0378|
| - college_computer_science | 0|none | 5|acc |0.3300|± |0.0473|
| - college_mathematics | 0|none | 5|acc |0.3200|± |0.0469|
| - college_physics | 0|none | 5|acc |0.2549|± |0.0434|
| - computer_security | 0|none | 5|acc |0.3000|± |0.0461|
| - conceptual_physics | 0|none | 5|acc |0.2170|± |0.0269|
| - electrical_engineering | 0|none | 5|acc |0.2897|± |0.0378|
| - elementary_mathematics | 0|none | 5|acc |0.2672|± |0.0228|
| - high_school_biology | 0|none | 5|acc |0.2645|± |0.0251|
| - high_school_chemistry | 0|none | 5|acc |0.2365|± |0.0299|
| - high_school_computer_science | 0|none | 5|acc |0.3300|± |0.0473|
| - high_school_mathematics | 0|none | 5|acc |0.2593|± |0.0267|
| - high_school_physics | 0|none | 5|acc |0.2715|± |0.0363|
| - high_school_statistics | 0|none | 5|acc |0.3519|± |0.0326|
| - machine_learning | 0|none | 5|acc |0.3036|± |0.0436|
| Groups |Version|Filter|n-shot|Metric|Value | |Stderr|
|------------------|-------|------|-----:|------|-----:|---|-----:|
|mmlu |N/A |none | 0|acc |0.2610|± |0.0037|
| - humanities |N/A |none | 5|acc |0.2623|± |0.0064|
| - other |N/A |none | 5|acc |0.2671|± |0.0079|
| - social_sciences|N/A |none | 5|acc |0.2343|± |0.0076|
| - stem |N/A |none | 5|acc |0.2791|± |0.0080|
[LM-EVAL] exit 0 at Sun Aug 9 23:29:33 UTC 2026
total 88K
-rw-r--r-- 1 adelynmosley2369 adelynmosley2369 85K Aug 9 23:29 results.json
{
"results": {
"mmlu": {
"acc,none": 0.26100270616721266,
"acc_stderr,none": 0.0037004678245414263,
"alias": "mmlu"
},
"mmlu_humanities": {
"alias": " - humanities",
"acc,none": 0.2622741764080765,
"acc_stderr,none": 0.006405056497034186
},
"mmlu_formal_logic": {
"alias": " - formal_logic",
"acc,none": 0.16666666666666666,
"acc_stderr,none": 0.03333333333333333
},
"mmlu_high_school_european_history": {
"alias": " - high_school_european_history",
"acc,none": 0.296969696969697,
"acc_stderr,none": 0.03567969772268046
},
"mmlu_high_school_us_history": {
"alias": " - high_school_us_history",
"acc,none": 0.27450980392156865,
"acc_stderr,none": 0.03132179803083291
},
"mmlu_high_school_world_history": {
"alias": " - high_school_world_history",
"acc,none": 0.2320675105485232,
"acc_stderr,none": 0.027479744550808465
},
"mmlu_international_law": {
"alias": " - international_law",
"acc,none": 0.35537190082644626,
"acc_stderr,none": 0.043692363265739845
},
"mmlu_jurisprudence": {
"alias": " - jurisprudence",
"acc,none": 0.28703703703703703,
"acc_stderr,none": 0.04373313040914761
},
"mmlu_logical_fallacies": {
"alias": " - logical_fallacies",
"acc,none": 0.2883435582822086,
"acc_stderr,none": 0.03559039531617345
},
"mmlu_moral_disputes": {
"alias": " - moral_disputes",
"acc,none": 0.28034682080924855,
"acc_stderr,none": 0.024182427496577626
},
"mmlu_moral_scenarios": {
"alias": " - moral_scenarios",
"acc,none": 0.25251396648044694,
"acc_stderr,none": 0.014530330201468655
},
"mmlu_philosophy": {
"alias": " - philosophy",
"acc,none": 0.3247588424437299,
"acc_stderr,none": 0.02659678228769707
},
"mmlu_prehistory": {
"alias": " - prehistory",
"acc,none": 0.25,
"acc_stderr,none": 0.02409347123262133
},
"mmlu_professional_law": {
"alias": " - professional_law",
"acc,none": 0.2470664928292047,
"acc_stderr,none": 0.011015752255279445
},
"mmlu_world_religions": {
"alias": " - world_religions",
"acc,none": 0.2807017543859649,
"acc_stderr,none": 0.03446296217088429
},
"mmlu_other": {
"alias": " - other",
"acc,none": 0.2671387190215642,
"acc_stderr,none": 0.007937843638596481
},
"mmlu_business_ethics": {
"alias": " - business_ethics",
"acc,none": 0.23,
"acc_stderr,none": 0.04229525846816507
},
"mmlu_clinical_knowledge": {
"alias": " - clinical_knowledge",
"acc,none": 0.23773584905660378,
"acc_stderr,none": 0.02619980880756196
},
"mmlu_college_medicine": {
"alias": " - college_medicine",
"acc,none": 0.2543352601156069,
"acc_stderr,none": 0.03320556443085566
},
"mmlu_global_facts": {
"alias": " - global_facts",
"acc,none": 0.31,
"acc_stderr,none": 0.04648231987117317
},
"mmlu_human_aging": {
"alias": " - human_aging",
"acc,none": 0.30493273542600896,
"acc_stderr,none": 0.03089861088247754
},
"mmlu_management": {
"alias": " - management",
"acc,none": 0.24271844660194175,
"acc_stderr,none": 0.04245022486384496
},
"mmlu_marketing": {
"alias": " - marketing",
"acc,none": 0.2777777777777778,
"acc_stderr,none": 0.029343114798094483
},
"mmlu_medical_genetics": {
"alias": " - medical_genetics",
"acc,none": 0.33,
"acc_stderr,none": 0.04725815626252609
},
"mmlu_miscellaneous": {
"alias": " - miscellaneous",
"acc,none": 0.2771392081736909,
"acc_stderr,none": 0.01600563629412252
},
"mmlu_nutrition": {
"alias": " - nutrition",
"acc,none": 0.24509803921568626,
"acc_stderr,none": 0.024630048979824716
},
"mmlu_professional_accounting": {
"alias": " - professional_accounting",
"acc,none": 0.2695035460992908,
"acc_stderr,none": 0.02646903681859067
},
"mmlu_professional_medicine": {
"alias": " - professional_medicine",
"acc,none": 0.21691176470588236,
"acc_stderr,none": 0.025035845227711254
},
"mmlu_virology": {
"alias": " - virology",
"acc,none": 0.3072289156626506,
"acc_stderr,none": 0.03591566797824665
},
"mmlu_social_sciences": {
"alias": " - social_sciences",
"acc,none": 0.23431914202144946,
"acc_stderr,none": 0.007631090779162625
},
"mmlu_econometrics": {
"alias": " - econometrics",
"acc,none": 0.24561403508771928,
"acc_stderr,none": 0.040493392977481425
},
"mmlu_high_school_geography": {
"alias": " - high_school_geography",
"acc,none": 0.25252525252525254,
"acc_stderr,none": 0.03095405547036587
},
"mmlu_high_school_government_and_politics": {
"alias": " - high_school_government_and_politics",
"acc,none": 0.22279792746113988,
"acc_stderr,none": 0.030031147977641528
},
"mmlu_high_school_macroeconomics": {
"alias": " - high_school_macroeconomics",
"acc,none": 0.24615384615384617,
"acc_stderr,none": 0.02184086699042312
},
"mmlu_high_school_microeconomics": {
"alias": " - high_school_microeconomics",
"acc,none": 0.20588235294117646,
"acc_stderr,none": 0.026265024608275907
},
"mmlu_high_school_psychology": {
"alias": " - high_school_psychology",
"acc,none": 0.24036697247706423,
"acc_stderr,none": 0.01832060732096402
},
"mmlu_human_sexuality": {
"alias": " - human_sexuality",
"acc,none": 0.19083969465648856,
"acc_stderr,none": 0.03446513350752599
},
"mmlu_professional_psychology": {
"alias": " - professional_psychology",
"acc,none": 0.2647058823529412,
"acc_stderr,none": 0.01784808957491327
},
"mmlu_public_relations": {
"alias": " - public_relations",
"acc,none": 0.2909090909090909,
"acc_stderr,none": 0.04350271442923247
},
"mmlu_security_studies": {
"alias": " - security_studies",
"acc,none": 0.1673469387755102,
'lm_eval_full.log' -> '/teamspace/studios/this_studio/microllm2/lm_eval_full.log'
|