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/egr/research-optml/wangc168/anaconda3/envs/SOUL/lib/python3.9/site-packages/transformers/utils/hub.py:127: FutureWarning: Using `TRANSFORMERS_CACHE` is deprecated and will be removed in v5 of Transformers. Use `HF_HOME` instead.
warnings.warn(
2026-04-03:16:35:59,252 INFO [__main__.py:279] Verbosity set to INFO
2026-04-03:16:35:59,682 INFO [__init__.py:491] `group` and `group_alias` keys in TaskConfigs are deprecated and will be removed in v0.4.5 of lm_eval. The new `tag` field will be used to allow for a shortcut to a group of tasks one does not wish to aggregate metrics across. `group`s which aggregate across subtasks must be only defined in a separate group config file, which will be the official way to create groups that support cross-task aggregation as in `mmlu`. Please see the v0.4.4 patch notes and our documentation: https://github.com/EleutherAI/lm-evaluation-harness/blob/main/docs/new_task_guide.md#advanced-group-configs for more information.
2026-04-03:16:36:07,612 INFO [__main__.py:376] Selected Tasks: ['mmlu']
2026-04-03:16:36:07,615 INFO [evaluator.py:161] Setting random seed to 0 | Setting numpy seed to 1234 | Setting torch manual seed to 1234
2026-04-03:16:36:07,615 INFO [evaluator.py:198] Initializing hf model, with arguments: {'pretrained': '/egr/research-optml/wangc168/Muon_wmdp/rmu_wmdp/models/muon_v1_test_V1_K64_batches150_bs4_alpha1200-1200_steer15-15_muonlr2.6e-3_muonmom0.95_muonwd0.1_adamlr5e-5_seed42_layer7_layers5-6-7_params6'}
2026-04-03:16:36:07,760 INFO [huggingface.py:130] Using device 'cuda:0'
2026-04-03:16:36:07,992 INFO [huggingface.py:366] Model parallel was set to False, max memory was not set, and device map was set to {'': 'cuda:0'}
Loading checkpoint shards: 0%| | 0/3 [00:00<?, ?it/s] Loading checkpoint shards: 33%|β–ˆβ–ˆβ–ˆβ–Ž | 1/3 [00:01<00:02, 1.13s/it] Loading checkpoint shards: 67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 2/3 [00:02<00:01, 1.11s/it] Loading checkpoint shards: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 3/3 [00:03<00:00, 1.03s/it] Loading checkpoint shards: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 3/3 [00:03<00:00, 1.05s/it]
2026-04-03:16:37:53,518 INFO [evaluator.py:279] Setting fewshot random generator seed to 1234
2026-04-03:16:37:53,518 INFO [evaluator.py:279] Setting fewshot random generator seed to 1234
2026-04-03:16:37:53,518 INFO [evaluator.py:279] Setting fewshot random generator seed to 1234
2026-04-03:16:37:53,519 INFO [evaluator.py:279] Setting fewshot random generator seed to 1234
2026-04-03:16:37:53,519 INFO [evaluator.py:279] Setting fewshot random generator seed to 1234
2026-04-03:16:37:53,519 INFO [evaluator.py:279] Setting fewshot random generator seed to 1234
2026-04-03:16:37:53,519 INFO [evaluator.py:279] Setting fewshot random generator seed to 1234
2026-04-03:16:37:53,519 INFO [evaluator.py:279] Setting fewshot random generator seed to 1234
2026-04-03:16:37:53,519 INFO [evaluator.py:279] Setting fewshot random generator seed to 1234
2026-04-03:16:37:53,519 INFO [evaluator.py:279] Setting fewshot random generator seed to 1234
2026-04-03:16:37:53,519 INFO [evaluator.py:279] Setting fewshot random generator seed to 1234
2026-04-03:16:37:53,519 INFO [evaluator.py:279] Setting fewshot random generator seed to 1234
2026-04-03:16:37:53,519 INFO [evaluator.py:279] Setting fewshot random generator seed to 1234
2026-04-03:16:37:53,519 INFO [evaluator.py:279] Setting fewshot random generator seed to 1234
2026-04-03:16:37:53,519 INFO [evaluator.py:279] Setting fewshot random generator seed to 1234
2026-04-03:16:37:53,519 INFO [evaluator.py:279] Setting fewshot random generator seed to 1234
2026-04-03:16:37:53,519 INFO [evaluator.py:279] Setting fewshot random generator seed to 1234
2026-04-03:16:37:53,519 INFO [evaluator.py:279] Setting fewshot random generator seed to 1234
2026-04-03:16:37:53,519 INFO [evaluator.py:279] Setting fewshot random generator seed to 1234
2026-04-03:16:37:53,519 INFO [evaluator.py:279] Setting fewshot random generator seed to 1234
2026-04-03:16:37:53,519 INFO [evaluator.py:279] Setting fewshot random generator seed to 1234
2026-04-03:16:37:53,519 INFO [evaluator.py:279] Setting fewshot random generator seed to 1234
2026-04-03:16:37:53,520 INFO [evaluator.py:279] Setting fewshot random generator seed to 1234
2026-04-03:16:37:53,520 INFO [evaluator.py:279] Setting fewshot random generator seed to 1234
2026-04-03:16:37:53,520 INFO [evaluator.py:279] Setting fewshot random generator seed to 1234
2026-04-03:16:37:53,520 INFO [evaluator.py:279] Setting fewshot random generator seed to 1234
2026-04-03:16:37:53,520 INFO [evaluator.py:279] Setting fewshot random generator seed to 1234
2026-04-03:16:37:53,520 INFO [evaluator.py:279] Setting fewshot random generator seed to 1234
2026-04-03:16:37:53,520 INFO [evaluator.py:279] Setting fewshot random generator seed to 1234
2026-04-03:16:37:53,520 INFO [evaluator.py:279] Setting fewshot random generator seed to 1234
2026-04-03:16:37:53,520 INFO [evaluator.py:279] Setting fewshot random generator seed to 1234
2026-04-03:16:37:53,520 INFO [evaluator.py:279] Setting fewshot random generator seed to 1234
2026-04-03:16:37:53,520 INFO [evaluator.py:279] Setting fewshot random generator seed to 1234
2026-04-03:16:37:53,520 INFO [evaluator.py:279] Setting fewshot random generator seed to 1234
2026-04-03:16:37:53,520 INFO [evaluator.py:279] Setting fewshot random generator seed to 1234
2026-04-03:16:37:53,520 INFO [evaluator.py:279] Setting fewshot random generator seed to 1234
2026-04-03:16:37:53,520 INFO [evaluator.py:279] Setting fewshot random generator seed to 1234
2026-04-03:16:37:53,520 INFO [evaluator.py:279] Setting fewshot random generator seed to 1234
2026-04-03:16:37:53,520 INFO [evaluator.py:279] Setting fewshot random generator seed to 1234
2026-04-03:16:37:53,520 INFO [evaluator.py:279] Setting fewshot random generator seed to 1234
2026-04-03:16:37:53,520 INFO [evaluator.py:279] Setting fewshot random generator seed to 1234
2026-04-03:16:37:53,521 INFO [evaluator.py:279] Setting fewshot random generator seed to 1234
2026-04-03:16:37:53,521 INFO [evaluator.py:279] Setting fewshot random generator seed to 1234
2026-04-03:16:37:53,521 INFO [evaluator.py:279] Setting fewshot random generator seed to 1234
2026-04-03:16:37:53,521 INFO [evaluator.py:279] Setting fewshot random generator seed to 1234
2026-04-03:16:37:53,521 INFO [evaluator.py:279] Setting fewshot random generator seed to 1234
2026-04-03:16:37:53,521 INFO [evaluator.py:279] Setting fewshot random generator seed to 1234
2026-04-03:16:37:53,521 INFO [evaluator.py:279] Setting fewshot random generator seed to 1234
2026-04-03:16:37:53,521 INFO [evaluator.py:279] Setting fewshot random generator seed to 1234
2026-04-03:16:37:53,521 INFO [evaluator.py:279] Setting fewshot random generator seed to 1234
2026-04-03:16:37:53,521 INFO [evaluator.py:279] Setting fewshot random generator seed to 1234
2026-04-03:16:37:53,521 INFO [evaluator.py:279] Setting fewshot random generator seed to 1234
2026-04-03:16:37:53,521 INFO [evaluator.py:279] Setting fewshot random generator seed to 1234
2026-04-03:16:37:53,521 INFO [evaluator.py:279] Setting fewshot random generator seed to 1234
2026-04-03:16:37:53,521 INFO [evaluator.py:279] Setting fewshot random generator seed to 1234
2026-04-03:16:37:53,521 INFO [evaluator.py:279] Setting fewshot random generator seed to 1234
2026-04-03:16:37:53,521 INFO [evaluator.py:279] Setting fewshot random generator seed to 1234
2026-04-03:16:37:53,521 WARNING [model.py:422] model.chat_template was called with the chat_template set to False or None. Therefore no chat template will be applied. Make sure this is an intended behavior.
2026-04-03:16:37:53,529 INFO [task.py:423] Building contexts for mmlu_high_school_mathematics on rank 0...
0%| | 0/270 [00:00<?, ?it/s] 30%|β–ˆβ–ˆβ–ˆ | 82/270 [00:00<00:00, 819.04it/s] 74%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 200/270 [00:00<00:00, 1029.54it/s] 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 270/270 [00:00<00:00, 1038.65it/s]
2026-04-03:16:37:53,804 INFO [task.py:423] Building contexts for mmlu_college_chemistry on rank 0...
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2026-04-03:16:37:53,891 INFO [task.py:423] Building contexts for mmlu_computer_security on rank 0...
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2026-04-03:16:37:53,978 INFO [task.py:423] Building contexts for mmlu_conceptual_physics on rank 0...
0%| | 0/235 [00:00<?, ?it/s] 51%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 120/235 [00:00<00:00, 1197.33it/s] 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 235/235 [00:00<00:00, 1192.51it/s]
2026-04-03:16:37:54,181 INFO [task.py:423] Building contexts for mmlu_college_biology on rank 0...
0%| | 0/144 [00:00<?, ?it/s] 83%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 120/144 [00:00<00:00, 1193.77it/s] 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 144/144 [00:00<00:00, 1193.02it/s]
2026-04-03:16:37:54,306 INFO [task.py:423] Building contexts for mmlu_college_computer_science on rank 0...
0%| | 0/100 [00:00<?, ?it/s] 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 100/100 [00:00<00:00, 1187.27it/s]
2026-04-03:16:37:54,392 INFO [task.py:423] Building contexts for mmlu_abstract_algebra on rank 0...
0%| | 0/100 [00:00<?, ?it/s] 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 100/100 [00:00<00:00, 1204.80it/s]
2026-04-03:16:37:54,478 INFO [task.py:423] Building contexts for mmlu_machine_learning on rank 0...
0%| | 0/112 [00:00<?, ?it/s] 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 112/112 [00:00<00:00, 1202.25it/s]
2026-04-03:16:37:54,575 INFO [task.py:423] Building contexts for mmlu_high_school_computer_science on rank 0...
0%| | 0/100 [00:00<?, ?it/s] 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 100/100 [00:00<00:00, 1191.12it/s]
2026-04-03:16:37:54,661 INFO [task.py:423] Building contexts for mmlu_college_physics on rank 0...
0%| | 0/102 [00:00<?, ?it/s] 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 102/102 [00:00<00:00, 1194.07it/s]
2026-04-03:16:37:54,750 INFO [task.py:423] Building contexts for mmlu_high_school_statistics on rank 0...
0%| | 0/216 [00:00<?, ?it/s] 55%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 119/216 [00:00<00:00, 1186.72it/s] 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 216/216 [00:00<00:00, 1187.95it/s]
2026-04-03:16:37:54,937 INFO [task.py:423] Building contexts for mmlu_high_school_physics on rank 0...
0%| | 0/151 [00:00<?, ?it/s] 79%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 119/151 [00:00<00:00, 1189.56it/s] 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 151/151 [00:00<00:00, 1188.83it/s]
2026-04-03:16:37:55,068 INFO [task.py:423] Building contexts for mmlu_elementary_mathematics on rank 0...
0%| | 0/378 [00:00<?, ?it/s] 31%|β–ˆβ–ˆβ–ˆ | 118/378 [00:00<00:00, 1179.87it/s] 63%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 237/378 [00:00<00:00, 1185.01it/s] 94%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 356/378 [00:00<00:00, 1184.24it/s] 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 378/378 [00:00<00:00, 1183.84it/s]
2026-04-03:16:37:55,396 INFO [task.py:423] Building contexts for mmlu_electrical_engineering on rank 0...
0%| | 0/145 [00:00<?, ?it/s] 83%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 120/145 [00:00<00:00, 1198.54it/s] 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 145/145 [00:00<00:00, 1195.24it/s]
2026-04-03:16:37:55,521 INFO [task.py:423] Building contexts for mmlu_high_school_biology on rank 0...
0%| | 0/310 [00:00<?, ?it/s] 39%|β–ˆβ–ˆβ–ˆβ–Š | 120/310 [00:00<00:00, 1194.88it/s] 77%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 240/310 [00:00<00:00, 1189.11it/s] 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 310/310 [00:00<00:00, 1189.86it/s]
2026-04-03:16:37:55,790 INFO [task.py:423] Building contexts for mmlu_astronomy on rank 0...
0%| | 0/152 [00:00<?, ?it/s] 79%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 120/152 [00:00<00:00, 1194.28it/s] 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 152/152 [00:00<00:00, 1191.56it/s]
2026-04-03:16:37:55,921 INFO [task.py:423] Building contexts for mmlu_anatomy on rank 0...
0%| | 0/135 [00:00<?, ?it/s] 89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 120/135 [00:00<00:00, 1199.04it/s] 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 135/135 [00:00<00:00, 1196.98it/s]
2026-04-03:16:37:56,038 INFO [task.py:423] Building contexts for mmlu_college_mathematics on rank 0...
0%| | 0/100 [00:00<?, ?it/s] 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 100/100 [00:00<00:00, 1187.91it/s]
2026-04-03:16:37:56,124 INFO [task.py:423] Building contexts for mmlu_high_school_chemistry on rank 0...
0%| | 0/203 [00:00<?, ?it/s] 59%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 120/203 [00:00<00:00, 1194.98it/s] 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 203/203 [00:00<00:00, 1195.32it/s]
2026-04-03:16:37:56,299 INFO [task.py:423] Building contexts for mmlu_management on rank 0...
0%| | 0/103 [00:00<?, ?it/s] 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 103/103 [00:00<00:00, 1196.33it/s]
2026-04-03:16:37:56,388 INFO [task.py:423] Building contexts for mmlu_clinical_knowledge on rank 0...
0%| | 0/265 [00:00<?, ?it/s] 45%|β–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 120/265 [00:00<00:00, 1190.62it/s] 91%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 240/265 [00:00<00:00, 1188.99it/s] 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 265/265 [00:00<00:00, 1188.80it/s]
2026-04-03:16:37:56,618 INFO [task.py:423] Building contexts for mmlu_professional_medicine on rank 0...
0%| | 0/272 [00:00<?, ?it/s] 44%|β–ˆβ–ˆβ–ˆβ–ˆβ– | 120/272 [00:00<00:00, 1192.97it/s] 88%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 240/272 [00:00<00:00, 1191.79it/s] 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 272/272 [00:00<00:00, 1191.97it/s]
2026-04-03:16:37:56,853 INFO [task.py:423] Building contexts for mmlu_human_aging on rank 0...
0%| | 0/223 [00:00<?, ?it/s] 33%|β–ˆβ–ˆβ–ˆβ–Ž | 74/223 [00:00<00:00, 340.71it/s] 87%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 193/223 [00:00<00:00, 676.52it/s] 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 223/223 [00:00<00:00, 650.37it/s]
2026-04-03:16:37:57,201 INFO [task.py:423] Building contexts for mmlu_professional_accounting on rank 0...
0%| | 0/282 [00:00<?, ?it/s] 42%|β–ˆβ–ˆβ–ˆβ–ˆβ– | 119/282 [00:00<00:00, 1189.22it/s] 84%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 238/282 [00:00<00:00, 1186.54it/s] 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 282/282 [00:00<00:00, 1185.98it/s]
2026-04-03:16:37:57,447 INFO [task.py:423] Building contexts for mmlu_college_medicine on rank 0...
0%| | 0/173 [00:00<?, ?it/s] 69%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 119/173 [00:00<00:00, 1189.56it/s] 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 173/173 [00:00<00:00, 1191.94it/s]
2026-04-03:16:37:57,596 INFO [task.py:423] Building contexts for mmlu_medical_genetics on rank 0...
0%| | 0/100 [00:00<?, ?it/s] 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 100/100 [00:00<00:00, 1192.51it/s]
2026-04-03:16:37:57,683 INFO [task.py:423] Building contexts for mmlu_miscellaneous on rank 0...
0%| | 0/783 [00:00<?, ?it/s] 15%|β–ˆβ–Œ | 120/783 [00:00<00:00, 1197.11it/s] 31%|β–ˆβ–ˆβ–ˆ | 240/783 [00:00<00:00, 1193.18it/s] 46%|β–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 360/783 [00:00<00:00, 1190.30it/s] 61%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 480/783 [00:00<00:00, 1191.35it/s] 77%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 600/783 [00:00<00:00, 1189.42it/s] 92%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 720/783 [00:00<00:00, 1190.78it/s] 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 783/783 [00:00<00:00, 1190.75it/s]
2026-04-03:16:37:58,358 INFO [task.py:423] Building contexts for mmlu_global_facts on rank 0...
0%| | 0/100 [00:00<?, ?it/s] 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 100/100 [00:00<00:00, 1197.45it/s]
2026-04-03:16:37:58,445 INFO [task.py:423] Building contexts for mmlu_virology on rank 0...
0%| | 0/166 [00:00<?, ?it/s] 72%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 120/166 [00:00<00:00, 1198.06it/s] 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 166/166 [00:00<00:00, 1197.94it/s]
2026-04-03:16:37:58,587 INFO [task.py:423] Building contexts for mmlu_business_ethics on rank 0...
0%| | 0/100 [00:00<?, ?it/s] 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 100/100 [00:00<00:00, 1196.69it/s]
2026-04-03:16:37:58,674 INFO [task.py:423] Building contexts for mmlu_nutrition on rank 0...
0%| | 0/306 [00:00<?, ?it/s] 39%|β–ˆβ–ˆβ–ˆβ–‰ | 120/306 [00:00<00:00, 1198.40it/s] 78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 240/306 [00:00<00:00, 1194.25it/s] 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 306/306 [00:00<00:00, 1193.85it/s]
2026-04-03:16:37:58,937 INFO [task.py:423] Building contexts for mmlu_marketing on rank 0...
0%| | 0/234 [00:00<?, ?it/s] 51%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 120/234 [00:00<00:00, 1194.33it/s] 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 234/234 [00:00<00:00, 1194.43it/s]
2026-04-03:16:37:59,139 INFO [task.py:423] Building contexts for mmlu_professional_psychology on rank 0...
0%| | 0/612 [00:00<?, ?it/s] 20%|β–ˆβ–‰ | 120/612 [00:00<00:00, 1190.56it/s] 39%|β–ˆβ–ˆβ–ˆβ–‰ | 240/612 [00:00<00:00, 1191.50it/s] 59%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 360/612 [00:00<00:00, 1193.22it/s] 78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 480/612 [00:00<00:00, 1192.31it/s] 98%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š| 600/612 [00:00<00:00, 1193.37it/s] 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 612/612 [00:00<00:00, 1192.52it/s]
2026-04-03:16:37:59,667 INFO [task.py:423] Building contexts for mmlu_high_school_geography on rank 0...
0%| | 0/198 [00:00<?, ?it/s] 61%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 120/198 [00:00<00:00, 1190.72it/s] 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 198/198 [00:00<00:00, 1190.10it/s]
2026-04-03:16:37:59,838 INFO [task.py:423] Building contexts for mmlu_high_school_psychology on rank 0...
0%| | 0/545 [00:00<?, ?it/s] 22%|β–ˆβ–ˆβ– | 121/545 [00:00<00:00, 1200.06it/s] 44%|β–ˆβ–ˆβ–ˆβ–ˆβ– | 242/545 [00:00<00:00, 1191.97it/s] 66%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 362/545 [00:00<00:00, 1192.51it/s] 88%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 482/545 [00:00<00:00, 1191.55it/s] 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 545/545 [00:00<00:00, 1191.37it/s]
2026-04-03:16:38:00,309 INFO [task.py:423] Building contexts for mmlu_us_foreign_policy on rank 0...
0%| | 0/100 [00:00<?, ?it/s] 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 100/100 [00:00<00:00, 1186.03it/s]
2026-04-03:16:38:00,396 INFO [task.py:423] Building contexts for mmlu_high_school_microeconomics on rank 0...
0%| | 0/238 [00:00<?, ?it/s] 50%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 120/238 [00:00<00:00, 1191.20it/s] 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 238/238 [00:00<00:00, 1190.68it/s]
2026-04-03:16:38:00,602 INFO [task.py:423] Building contexts for mmlu_sociology on rank 0...
0%| | 0/201 [00:00<?, ?it/s] 60%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 120/201 [00:00<00:00, 1191.49it/s] 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 201/201 [00:00<00:00, 1189.86it/s]
2026-04-03:16:38:00,776 INFO [task.py:423] Building contexts for mmlu_security_studies on rank 0...
0%| | 0/245 [00:00<?, ?it/s] 49%|β–ˆβ–ˆβ–ˆβ–ˆβ–Š | 119/245 [00:00<00:00, 1188.33it/s] 97%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹| 238/245 [00:00<00:00, 1187.83it/s] 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 245/245 [00:00<00:00, 1186.74it/s]
2026-04-03:16:38:00,989 INFO [task.py:423] Building contexts for mmlu_public_relations on rank 0...
0%| | 0/110 [00:00<?, ?it/s] 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 110/110 [00:00<00:00, 1199.83it/s]
2026-04-03:16:38:01,083 INFO [task.py:423] Building contexts for mmlu_human_sexuality on rank 0...
0%| | 0/131 [00:00<?, ?it/s] 92%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 120/131 [00:00<00:00, 1198.52it/s] 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 131/131 [00:00<00:00, 1196.95it/s]
2026-04-03:16:38:01,196 INFO [task.py:423] Building contexts for mmlu_high_school_government_and_politics on rank 0...
0%| | 0/193 [00:00<?, ?it/s] 62%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 119/193 [00:00<00:00, 1188.54it/s] 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 193/193 [00:00<00:00, 1188.85it/s]
2026-04-03:16:38:01,364 INFO [task.py:423] Building contexts for mmlu_econometrics on rank 0...
0%| | 0/114 [00:00<?, ?it/s] 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 114/114 [00:00<00:00, 1193.03it/s]
2026-04-03:16:38:01,462 INFO [task.py:423] Building contexts for mmlu_high_school_macroeconomics on rank 0...
0%| | 0/390 [00:00<?, ?it/s] 31%|β–ˆβ–ˆβ–ˆ | 121/390 [00:00<00:00, 1200.51it/s] 62%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 242/390 [00:00<00:00, 1193.08it/s] 93%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž| 362/390 [00:00<00:00, 1192.32it/s] 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 390/390 [00:00<00:00, 1191.50it/s]
2026-04-03:16:38:01,799 INFO [task.py:423] Building contexts for mmlu_formal_logic on rank 0...
0%| | 0/126 [00:00<?, ?it/s] 94%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 119/126 [00:00<00:00, 1187.81it/s] 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 126/126 [00:00<00:00, 1186.32it/s]
2026-04-03:16:38:01,908 INFO [task.py:423] Building contexts for mmlu_moral_disputes on rank 0...
0%| | 0/346 [00:00<?, ?it/s] 34%|β–ˆβ–ˆβ–ˆβ– | 119/346 [00:00<00:00, 1186.30it/s] 69%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 239/346 [00:00<00:00, 1189.05it/s] 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 346/346 [00:00<00:00, 1187.89it/s]
2026-04-03:16:38:02,208 INFO [task.py:423] Building contexts for mmlu_moral_scenarios on rank 0...
0%| | 0/895 [00:00<?, ?it/s] 13%|β–ˆβ–Ž | 120/895 [00:00<00:00, 1190.24it/s] 27%|β–ˆβ–ˆβ–‹ | 240/895 [00:00<00:00, 1191.14it/s] 40%|β–ˆβ–ˆβ–ˆβ–ˆ | 360/895 [00:00<00:00, 1189.38it/s] 54%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 480/895 [00:00<00:00, 1190.82it/s] 67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 600/895 [00:00<00:00, 1187.94it/s] 80%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 719/895 [00:00<00:00, 1187.12it/s] 94%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž| 839/895 [00:00<00:00, 1189.43it/s] 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 895/895 [00:00<00:00, 1188.78it/s]
2026-04-03:16:38:02,982 INFO [task.py:423] Building contexts for mmlu_jurisprudence on rank 0...
0%| | 0/108 [00:00<?, ?it/s] 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 108/108 [00:00<00:00, 1196.02it/s]
2026-04-03:16:38:03,075 INFO [task.py:423] Building contexts for mmlu_high_school_european_history on rank 0...
0%| | 0/165 [00:00<?, ?it/s] 59%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 97/165 [00:00<00:00, 316.18it/s] 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 165/165 [00:00<00:00, 451.69it/s]
2026-04-03:16:38:03,445 INFO [task.py:423] Building contexts for mmlu_professional_law on rank 0...
0%| | 0/1534 [00:00<?, ?it/s] 8%|β–Š | 119/1534 [00:00<00:01, 1181.94it/s] 16%|β–ˆβ–Œ | 238/1534 [00:00<00:01, 1183.71it/s] 23%|β–ˆβ–ˆβ–Ž | 357/1534 [00:00<00:00, 1185.37it/s] 31%|β–ˆβ–ˆβ–ˆ | 477/1534 [00:00<00:00, 1188.98it/s] 39%|β–ˆβ–ˆβ–ˆβ–‰ | 597/1534 [00:00<00:00, 1189.89it/s] 47%|β–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 717/1534 [00:00<00:00, 1192.61it/s] 55%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 837/1534 [00:00<00:00, 1191.78it/s] 62%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 957/1534 [00:00<00:00, 1192.38it/s] 70%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 1077/1534 [00:00<00:00, 1192.50it/s] 78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 1197/1534 [00:01<00:00, 1190.77it/s] 86%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 1317/1534 [00:01<00:00, 1190.94it/s] 94%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž| 1437/1534 [00:01<00:00, 1190.67it/s] 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 1534/1534 [00:01<00:00, 1190.33it/s]
2026-04-03:16:38:04,772 INFO [task.py:423] Building contexts for mmlu_prehistory on rank 0...
0%| | 0/324 [00:00<?, ?it/s] 37%|β–ˆβ–ˆβ–ˆβ–‹ | 119/324 [00:00<00:00, 1181.62it/s] 73%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 238/324 [00:00<00:00, 1184.06it/s] 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 324/324 [00:00<00:00, 1184.38it/s]
2026-04-03:16:38:05,054 INFO [task.py:423] Building contexts for mmlu_world_religions on rank 0...
0%| | 0/171 [00:00<?, ?it/s] 70%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 120/171 [00:00<00:00, 1191.27it/s] 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 171/171 [00:00<00:00, 1191.67it/s]
2026-04-03:16:38:05,202 INFO [task.py:423] Building contexts for mmlu_high_school_world_history on rank 0...
0%| | 0/237 [00:00<?, ?it/s] 50%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 119/237 [00:00<00:00, 1188.77it/s] 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 237/237 [00:00<00:00, 1186.20it/s]
2026-04-03:16:38:05,408 INFO [task.py:423] Building contexts for mmlu_international_law on rank 0...
0%| | 0/121 [00:00<?, ?it/s] 99%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰| 120/121 [00:00<00:00, 1193.52it/s] 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 121/121 [00:00<00:00, 1191.33it/s]
2026-04-03:16:38:05,513 INFO [task.py:423] Building contexts for mmlu_logical_fallacies on rank 0...
0%| | 0/163 [00:00<?, ?it/s] 74%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 121/163 [00:00<00:00, 1205.56it/s] 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 163/163 [00:00<00:00, 1202.62it/s]
2026-04-03:16:38:05,652 INFO [task.py:423] Building contexts for mmlu_philosophy on rank 0...
0%| | 0/311 [00:00<?, ?it/s] 39%|β–ˆβ–ˆβ–ˆβ–‰ | 121/311 [00:00<00:00, 1201.64it/s] 78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 242/311 [00:00<00:00, 1195.51it/s] 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 311/311 [00:00<00:00, 1196.14it/s]
2026-04-03:16:38:05,920 INFO [task.py:423] Building contexts for mmlu_high_school_us_history on rank 0...
0%| | 0/204 [00:00<?, ?it/s] 58%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 118/204 [00:00<00:00, 1174.86it/s] 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 204/204 [00:00<00:00, 1177.55it/s]
2026-04-03:16:38:06,099 INFO [evaluator.py:465] Running loglikelihood requests
Running loglikelihood requests: 0%| | 0/56168 [00:00<?, ?it/s]We detected that you are passing `past_key_values` as a tuple and this is deprecated and will be removed in v4.43. Please use an appropriate `Cache` class (https://huggingface.co/docs/transformers/v4.41.3/en/internal/generation_utils#transformers.Cache)
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833/56168 [00:06<05:28, 168.64it/s] Running loglikelihood requests: 2%|▏ | 897/56168 [00:06<05:21, 171.88it/s] Running loglikelihood requests: 2%|▏ | 961/56168 [00:07<05:14, 175.63it/s] Running loglikelihood requests: 2%|▏ | 1025/56168 [00:07<05:08, 178.72it/s] Running loglikelihood requests: 2%|▏ | 1089/56168 [00:07<05:02, 182.32it/s] Running loglikelihood requests: 2%|▏ | 1153/56168 [00:08<04:58, 184.28it/s] Running loglikelihood requests: 2%|▏ | 1217/56168 [00:08<04:52, 187.93it/s] Running loglikelihood requests: 2%|▏ | 1281/56168 [00:08<04:49, 189.47it/s] Running loglikelihood requests: 2%|▏ | 1345/56168 [00:09<04:44, 192.65it/s] Running loglikelihood requests: 3%|β–Ž | 1409/56168 [00:09<04:39, 195.93it/s] Running loglikelihood requests: 3%|β–Ž | 1473/56168 [00:09<04:36, 197.88it/s] Running loglikelihood requests: 3%|β–Ž | 1537/56168 [00:10<04:33, 199.88it/s] Running loglikelihood requests: 3%|β–Ž | 1601/56168 [00:10<04:30, 201.83it/s] Running loglikelihood requests: 3%|β–Ž | 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1169.42it/s] Running loglikelihood requests: 97%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹| 54637/56168 [01:37<00:01, 1171.81it/s] Running loglikelihood requests: 98%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š| 54765/56168 [01:37<00:01, 1172.63it/s] Running loglikelihood requests: 98%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š| 54893/56168 [01:37<00:01, 1174.86it/s] Running loglikelihood requests: 98%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š| 55021/56168 [01:37<00:00, 1176.58it/s] Running loglikelihood requests: 98%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š| 55149/56168 [01:37<00:00, 1178.41it/s] Running loglikelihood requests: 98%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š| 55277/56168 [01:38<00:00, 1188.30it/s] Running loglikelihood requests: 99%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š| 55405/56168 [01:38<00:00, 1193.29it/s] Running loglikelihood requests: 99%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰| 55533/56168 [01:38<00:00, 1198.21it/s] Running loglikelihood requests: 99%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰| 55661/56168 [01:38<00:00, 1205.15it/s] Running loglikelihood requests: 99%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰| 55789/56168 [01:38<00:00, 1212.22it/s] Running loglikelihood requests: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰| 55917/56168 [01:38<00:00, 1218.90it/s] Running loglikelihood requests: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰| 56109/56168 [01:38<00:00, 1296.36it/s] Running loglikelihood requests: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 56168/56168 [01:38<00:00, 569.05it/s]
2026-04-03:16:40:08,272 WARNING [huggingface.py:1344] Failed to get model SHA for /egr/research-optml/wangc168/Muon_wmdp/rmu_wmdp/models/muon_v1_test_V1_K64_batches150_bs4_alpha1200-1200_steer15-15_muonlr2.6e-3_muonmom0.95_muonwd0.1_adamlr5e-5_seed42_layer7_layers5-6-7_params6 at revision main. Error: Repo id must be in the form 'repo_name' or 'namespace/repo_name': '/egr/research-optml/wangc168/Muon_wmdp/rmu_wmdp/models/muon_v1_test_V1_K64_batches150_bs4_alpha1200-1200_steer15-15_muonlr2.6e-3_muonmom0.95_muonwd0.1_adamlr5e-5_seed42_layer7_layers5-6-7_params6'. Use `repo_type` argument if needed.
2026-04-03:16:40:13,621 INFO [evaluation_tracker.py:206] Saving results aggregated
2026-04-03:16:40:13,641 INFO [evaluation_tracker.py:287] Saving per-sample results for: mmlu_abstract_algebra
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2026-04-03:16:40:23,198 INFO [evaluation_tracker.py:287] Saving per-sample results for: mmlu_prehistory
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2026-04-03:16:40:26,587 INFO [evaluation_tracker.py:287] Saving per-sample results for: mmlu_world_religions
hf (pretrained=/egr/research-optml/wangc168/Muon_wmdp/rmu_wmdp/models/muon_v1_test_V1_K64_batches150_bs4_alpha1200-1200_steer15-15_muonlr2.6e-3_muonmom0.95_muonwd0.1_adamlr5e-5_seed42_layer7_layers5-6-7_params6), gen_kwargs: (None), limit: None, num_fewshot: None, batch_size: 16
| Tasks |Version|Filter|n-shot|Metric| |Value | |Stderr|
|---------------------------------------|------:|------|-----:|------|---|-----:|---|-----:|
|mmlu | 2|none | |acc |↑ |0.5713|Β± |0.0040|
| - humanities | 2|none | |acc |↑ |0.5186|Β± |0.0069|
| - formal_logic | 1|none | 0|acc |↑ |0.3810|Β± |0.0434|
| - high_school_european_history | 1|none | 0|acc |↑ |0.6970|Β± |0.0359|
| - high_school_us_history | 1|none | 0|acc |↑ |0.7500|Β± |0.0304|
| - high_school_world_history | 1|none | 0|acc |↑ |0.7384|Β± |0.0286|
| - international_law | 1|none | 0|acc |↑ |0.7107|Β± |0.0414|
| - jurisprudence | 1|none | 0|acc |↑ |0.6944|Β± |0.0445|
| - logical_fallacies | 1|none | 0|acc |↑ |0.6810|Β± |0.0366|
| - moral_disputes | 1|none | 0|acc |↑ |0.6590|Β± |0.0255|
| - moral_scenarios | 1|none | 0|acc |↑ |0.2804|Β± |0.0150|
| - philosophy | 1|none | 0|acc |↑ |0.6463|Β± |0.0272|
| - prehistory | 1|none | 0|acc |↑ |0.6451|Β± |0.0266|
| - professional_law | 1|none | 0|acc |↑ |0.4231|Β± |0.0126|
| - world_religions | 1|none | 0|acc |↑ |0.8129|Β± |0.0299|
| - other | 2|none | |acc |↑ |0.6350|Β± |0.0082|
| - business_ethics | 1|none | 0|acc |↑ |0.5200|Β± |0.0502|
| - clinical_knowledge | 1|none | 0|acc |↑ |0.6491|Β± |0.0294|
| - college_medicine | 1|none | 0|acc |↑ |0.5896|Β± |0.0375|
| - global_facts | 1|none | 0|acc |↑ |0.3000|Β± |0.0461|
| - human_aging | 1|none | 0|acc |↑ |0.6368|Β± |0.0323|
| - management | 1|none | 0|acc |↑ |0.7476|Β± |0.0430|
| - marketing | 1|none | 0|acc |↑ |0.8248|Β± |0.0249|
| - medical_genetics | 1|none | 0|acc |↑ |0.6400|Β± |0.0482|
| - miscellaneous | 1|none | 0|acc |↑ |0.7778|Β± |0.0149|
| - nutrition | 1|none | 0|acc |↑ |0.6601|Β± |0.0271|
| - professional_accounting | 1|none | 0|acc |↑ |0.4149|Β± |0.0294|
| - professional_medicine | 1|none | 0|acc |↑ |0.5699|Β± |0.0301|
| - virology | 1|none | 0|acc |↑ |0.3494|Β± |0.0371|
| - social sciences | 2|none | |acc |↑ |0.6783|Β± |0.0082|
| - econometrics | 1|none | 0|acc |↑ |0.4298|Β± |0.0466|
| - high_school_geography | 1|none | 0|acc |↑ |0.7172|Β± |0.0321|
| - high_school_government_and_politics| 1|none | 0|acc |↑ |0.8290|Β± |0.0272|
| - high_school_macroeconomics | 1|none | 0|acc |↑ |0.5795|Β± |0.0250|
| - high_school_microeconomics | 1|none | 0|acc |↑ |0.6050|Β± |0.0318|
| - high_school_psychology | 1|none | 0|acc |↑ |0.7890|Β± |0.0175|
| - human_sexuality | 1|none | 0|acc |↑ |0.6565|Β± |0.0416|
| - professional_psychology | 1|none | 0|acc |↑ |0.5997|Β± |0.0198|
| - public_relations | 1|none | 0|acc |↑ |0.6545|Β± |0.0455|
| - security_studies | 1|none | 0|acc |↑ |0.6490|Β± |0.0306|
| - sociology | 1|none | 0|acc |↑ |0.8557|Β± |0.0248|
| - us_foreign_policy | 1|none | 0|acc |↑ |0.8000|Β± |0.0402|
| - stem | 2|none | |acc |↑ |0.4827|Β± |0.0087|
| - abstract_algebra | 1|none | 0|acc |↑ |0.3000|Β± |0.0461|
| - anatomy | 1|none | 0|acc |↑ |0.5630|Β± |0.0428|
| - astronomy | 1|none | 0|acc |↑ |0.5855|Β± |0.0401|
| - college_biology | 1|none | 0|acc |↑ |0.6389|Β± |0.0402|
| - college_chemistry | 1|none | 0|acc |↑ |0.4900|Β± |0.0502|
| - college_computer_science | 1|none | 0|acc |↑ |0.5100|Β± |0.0502|
| - college_mathematics | 1|none | 0|acc |↑ |0.3700|Β± |0.0485|
| - college_physics | 1|none | 0|acc |↑ |0.5294|Β± |0.0497|
| - computer_security | 1|none | 0|acc |↑ |0.4800|Β± |0.0502|
| - conceptual_physics | 1|none | 0|acc |↑ |0.4936|Β± |0.0327|
| - electrical_engineering | 1|none | 0|acc |↑ |0.5310|Β± |0.0416|
| - elementary_mathematics | 1|none | 0|acc |↑ |0.3995|Β± |0.0252|
| - high_school_biology | 1|none | 0|acc |↑ |0.6581|Β± |0.0270|
| - high_school_chemistry | 1|none | 0|acc |↑ |0.4828|Β± |0.0352|
| - high_school_computer_science | 1|none | 0|acc |↑ |0.5700|Β± |0.0498|
| - high_school_mathematics | 1|none | 0|acc |↑ |0.3370|Β± |0.0288|
| - high_school_physics | 1|none | 0|acc |↑ |0.2914|Β± |0.0371|
| - high_school_statistics | 1|none | 0|acc |↑ |0.4907|Β± |0.0341|
| - machine_learning | 1|none | 0|acc |↑ |0.4643|Β± |0.0473|
| Groups |Version|Filter|n-shot|Metric| |Value | |Stderr|
|------------------|------:|------|------|------|---|-----:|---|-----:|
|mmlu | 2|none | |acc |↑ |0.5713|Β± |0.0040|
| - humanities | 2|none | |acc |↑ |0.5186|Β± |0.0069|
| - other | 2|none | |acc |↑ |0.6350|Β± |0.0082|
| - social sciences| 2|none | |acc |↑ |0.6783|Β± |0.0082|
| - stem | 2|none | |acc |↑ |0.4827|Β± |0.0087|