nohup: ignoring input

==================================================
开始评估：任务=triviaqa | 少样本数=0 | 模型=Llama-3.1-8B
输出路径：results2/Llama-3.1-8B/base_triviaqa.json
==================================================
2025-12-01:19:26:13 INFO     [__main__:440] Selected Tasks: ['triviaqa']
2025-12-01:19:26:13 INFO     [evaluator:189] Setting random seed to 0 | Setting numpy seed to 1234 | Setting torch manual seed to 1234 | Setting fewshot manual seed to 1234
2025-12-01:19:26:13 INFO     [evaluator:227] Initializing hf model, with arguments: {'pretrained': '/mnt/bn/life-mllm/users/cxr/quantization/models/meta-llama/Llama-3.1-8B'}
2025-12-01:19:26:14 WARNING  [accelerate.utils.other:513] Detected kernel version 5.4.143, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.
2025-12-01:19:26:14 INFO     [models.huggingface:137] Using device 'cuda:2'
2025-12-01:19:26:14 INFO     [models.huggingface:382] Model parallel was set to False, max memory was not set, and device map was set to {'': 'cuda:2'}
`torch_dtype` is deprecated! Use `dtype` instead!

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2025-12-01:19:26:54 INFO     [evaluator:290] triviaqa: Using gen_kwargs: {'until': ['\n', '.', ','], 'do_sample': False, 'temperature': 0.0}
2025-12-01:19:26:54 WARNING  [evaluator:309] Overwriting default num_fewshot of triviaqa from None to 0
2025-12-01:19:26:54 INFO     [api.task:434] Building contexts for triviaqa on rank 0...

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2025-12-01:19:27:02 INFO     [evaluator:559] Running generate_until requests

Running generate_until requests:   0%|          | 0/17944 [00:00<?, ?it/s]The following generation flags are not valid and may be ignored: ['temperature', 'top_p']. Set `TRANSFORMERS_VERBOSITY=info` for more details.

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fatal: detected dubious ownership in repository at '/mnt/bn/life-mllm/users/cxr/quantization'
To add an exception for this directory, call:

	git config --global --add safe.directory /mnt/bn/life-mllm/users/cxr/quantization
2025-12-01:20:03:35 INFO     [loggers.evaluation_tracker:209] Saving results aggregated
Passed argument batch_size = auto. Detecting largest batch size
Determined Largest batch size: 1
hf (pretrained=/mnt/bn/life-mllm/users/cxr/quantization/models/meta-llama/Llama-3.1-8B), gen_kwargs: (None), limit: None, num_fewshot: 0, batch_size: auto
| Tasks  |Version|     Filter      |n-shot|  Metric   |   |Value|   |Stderr|
|--------|------:|-----------------|-----:|-----------|---|----:|---|-----:|
|triviaqa|      3|remove_whitespace|     0|exact_match|↑  |0.615|±  |0.0036|

任务 triviaqa 评估完成！

==================================================
开始评估：任务=winogrande | 少样本数=5 | 模型=Llama-3.1-8B
输出路径：results2/Llama-3.1-8B/base_winogrande.json
==================================================
2025-12-01:20:04:16 INFO     [__main__:440] Selected Tasks: ['winogrande']
2025-12-01:20:04:16 INFO     [evaluator:189] Setting random seed to 0 | Setting numpy seed to 1234 | Setting torch manual seed to 1234 | Setting fewshot manual seed to 1234
2025-12-01:20:04:16 INFO     [evaluator:227] Initializing hf model, with arguments: {'pretrained': '/mnt/bn/life-mllm/users/cxr/quantization/models/meta-llama/Llama-3.1-8B'}
2025-12-01:20:04:17 WARNING  [accelerate.utils.other:513] Detected kernel version 5.4.143, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.
2025-12-01:20:04:17 INFO     [models.huggingface:137] Using device 'cuda:2'
2025-12-01:20:04:17 INFO     [models.huggingface:382] Model parallel was set to False, max memory was not set, and device map was set to {'': 'cuda:2'}
`torch_dtype` is deprecated! Use `dtype` instead!

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2025-12-01:20:04:39 WARNING  [evaluator:309] Overwriting default num_fewshot of winogrande from None to 5
2025-12-01:20:04:39 INFO     [api.task:434] Building contexts for winogrande on rank 0...

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2025-12-01:20:04:39 INFO     [evaluator:559] Running loglikelihood requests

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fatal: detected dubious ownership in repository at '/mnt/bn/life-mllm/users/cxr/quantization'
To add an exception for this directory, call:

	git config --global --add safe.directory /mnt/bn/life-mllm/users/cxr/quantization
2025-12-01:20:05:20 INFO     [loggers.evaluation_tracker:209] Saving results aggregated
Passed argument batch_size = auto:1. Detecting largest batch size
Determined largest batch size: 64
hf (pretrained=/mnt/bn/life-mllm/users/cxr/quantization/models/meta-llama/Llama-3.1-8B), gen_kwargs: (None), limit: None, num_fewshot: 5, batch_size: auto (64)
|  Tasks   |Version|Filter|n-shot|Metric|   |Value |   |Stderr|
|----------|------:|------|-----:|------|---|-----:|---|-----:|
|winogrande|      1|none  |     5|acc   |↑  |0.7743|±  |0.0117|

任务 winogrande 评估完成！

==================================================
开始评估：任务=mmlu | 少样本数=5 | 模型=Llama-3.1-8B
输出路径：results2/Llama-3.1-8B/base_mmlu.json
==================================================
2025-12-01:20:05:59 INFO     [__main__:440] Selected Tasks: ['mmlu']
2025-12-01:20:05:59 INFO     [evaluator:189] Setting random seed to 0 | Setting numpy seed to 1234 | Setting torch manual seed to 1234 | Setting fewshot manual seed to 1234
2025-12-01:20:05:59 INFO     [evaluator:227] Initializing hf model, with arguments: {'pretrained': '/mnt/bn/life-mllm/users/cxr/quantization/models/meta-llama/Llama-3.1-8B'}
2025-12-01:20:05:59 WARNING  [accelerate.utils.other:513] Detected kernel version 5.4.143, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.
2025-12-01:20:05:59 INFO     [models.huggingface:137] Using device 'cuda:2'
2025-12-01:20:06:00 INFO     [models.huggingface:382] Model parallel was set to False, max memory was not set, and device map was set to {'': 'cuda:2'}
`torch_dtype` is deprecated! Use `dtype` instead!

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2025-12-01:20:22:41 WARNING  [evaluator:309] Overwriting default num_fewshot of mmlu_abstract_algebra from None to 5
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2025-12-01:20:22:41 WARNING  [evaluator:309] Overwriting default num_fewshot of mmlu_high_school_european_history from None to 5
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2025-12-01:20:22:41 WARNING  [evaluator:309] Overwriting default num_fewshot of mmlu_world_religions from None to 5
2025-12-01:20:22:41 INFO     [api.task:434] Building contexts for mmlu_abstract_algebra on rank 0...

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2025-12-01:20:22:42 INFO     [api.task:434] Building contexts for mmlu_anatomy on rank 0...

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2025-12-01:20:22:43 INFO     [api.task:434] Building contexts for mmlu_astronomy on rank 0...

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2025-12-01:20:22:44 INFO     [api.task:434] Building contexts for mmlu_college_biology on rank 0...

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2025-12-01:20:22:44 INFO     [api.task:434] Building contexts for mmlu_college_chemistry on rank 0...

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2025-12-01:20:22:45 INFO     [api.task:434] Building contexts for mmlu_college_computer_science on rank 0...

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2025-12-01:20:22:46 INFO     [api.task:434] Building contexts for mmlu_college_mathematics on rank 0...

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2025-12-01:20:22:46 INFO     [api.task:434] Building contexts for mmlu_college_physics on rank 0...

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2025-12-01:20:22:47 INFO     [api.task:434] Building contexts for mmlu_computer_security on rank 0...

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2025-12-01:20:22:47 INFO     [api.task:434] Building contexts for mmlu_conceptual_physics on rank 0...

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2025-12-01:20:22:49 INFO     [api.task:434] Building contexts for mmlu_electrical_engineering on rank 0...

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2025-12-01:20:22:49 INFO     [api.task:434] Building contexts for mmlu_elementary_mathematics on rank 0...

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2025-12-01:20:22:52 INFO     [api.task:434] Building contexts for mmlu_high_school_biology on rank 0...

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2025-12-01:20:22:53 INFO     [api.task:434] Building contexts for mmlu_high_school_chemistry on rank 0...

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2025-12-01:20:22:55 INFO     [api.task:434] Building contexts for mmlu_high_school_computer_science on rank 0...

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2025-12-01:20:22:55 INFO     [api.task:434] Building contexts for mmlu_high_school_mathematics on rank 0...

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2025-12-01:20:22:57 INFO     [api.task:434] Building contexts for mmlu_high_school_physics on rank 0...

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2025-12-01:20:22:57 INFO     [api.task:434] Building contexts for mmlu_high_school_statistics on rank 0...

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2025-12-01:20:22:59 INFO     [api.task:434] Building contexts for mmlu_machine_learning on rank 0...

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2025-12-01:20:22:59 INFO     [api.task:434] Building contexts for mmlu_business_ethics on rank 0...

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2025-12-01:20:23:00 INFO     [api.task:434] Building contexts for mmlu_clinical_knowledge on rank 0...

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2025-12-01:20:23:01 INFO     [api.task:434] Building contexts for mmlu_college_medicine on rank 0...

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2025-12-01:20:23:02 INFO     [api.task:434] Building contexts for mmlu_global_facts on rank 0...

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2025-12-01:20:23:03 INFO     [api.task:434] Building contexts for mmlu_human_aging on rank 0...

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2025-12-01:20:23:04 INFO     [api.task:434] Building contexts for mmlu_management on rank 0...

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2025-12-01:20:23:05 INFO     [api.task:434] Building contexts for mmlu_marketing on rank 0...

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2025-12-01:20:23:06 INFO     [api.task:434] Building contexts for mmlu_medical_genetics on rank 0...

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2025-12-01:20:23:07 INFO     [api.task:434] Building contexts for mmlu_miscellaneous on rank 0...

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2025-12-01:20:23:11 INFO     [api.task:434] Building contexts for mmlu_nutrition on rank 0...

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2025-12-01:20:23:13 INFO     [api.task:434] Building contexts for mmlu_professional_accounting on rank 0...

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2025-12-01:20:23:14 INFO     [api.task:434] Building contexts for mmlu_professional_medicine on rank 0...

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2025-12-01:20:23:16 INFO     [api.task:434] Building contexts for mmlu_virology on rank 0...

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2025-12-01:20:23:17 INFO     [api.task:434] Building contexts for mmlu_econometrics on rank 0...

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2025-12-01:20:23:17 INFO     [api.task:434] Building contexts for mmlu_high_school_geography on rank 0...

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2025-12-01:20:23:19 INFO     [api.task:434] Building contexts for mmlu_high_school_government_and_politics on rank 0...

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2025-12-01:20:23:20 INFO     [api.task:434] Building contexts for mmlu_high_school_macroeconomics on rank 0...

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2025-12-01:20:23:22 INFO     [api.task:434] Building contexts for mmlu_high_school_microeconomics on rank 0...

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2025-12-01:20:23:24 INFO     [api.task:434] Building contexts for mmlu_high_school_psychology on rank 0...

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2025-12-01:20:23:27 INFO     [api.task:434] Building contexts for mmlu_human_sexuality on rank 0...

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2025-12-01:20:23:27 INFO     [api.task:434] Building contexts for mmlu_professional_psychology on rank 0...

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2025-12-01:20:23:31 INFO     [api.task:434] Building contexts for mmlu_public_relations on rank 0...

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2025-12-01:20:23:31 INFO     [api.task:434] Building contexts for mmlu_security_studies on rank 0...

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2025-12-01:20:23:33 INFO     [api.task:434] Building contexts for mmlu_sociology on rank 0...

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2025-12-01:20:23:34 INFO     [api.task:434] Building contexts for mmlu_us_foreign_policy on rank 0...

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2025-12-01:20:23:35 INFO     [api.task:434] Building contexts for mmlu_formal_logic on rank 0...

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2025-12-01:20:23:35 INFO     [api.task:434] Building contexts for mmlu_high_school_european_history on rank 0...

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2025-12-01:20:23:36 INFO     [api.task:434] Building contexts for mmlu_high_school_us_history on rank 0...

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2025-12-01:20:23:37 INFO     [api.task:434] Building contexts for mmlu_high_school_world_history on rank 0...

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2025-12-01:20:23:39 INFO     [api.task:434] Building contexts for mmlu_international_law on rank 0...

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2025-12-01:20:23:39 INFO     [api.task:434] Building contexts for mmlu_jurisprudence on rank 0...

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2025-12-01:20:23:40 INFO     [api.task:434] Building contexts for mmlu_logical_fallacies on rank 0...

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2025-12-01:20:23:41 INFO     [api.task:434] Building contexts for mmlu_moral_disputes on rank 0...

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2025-12-01:20:23:43 INFO     [api.task:434] Building contexts for mmlu_moral_scenarios on rank 0...

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2025-12-01:20:23:48 INFO     [api.task:434] Building contexts for mmlu_philosophy on rank 0...

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2025-12-01:20:23:50 INFO     [api.task:434] Building contexts for mmlu_prehistory on rank 0...

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2025-12-01:20:23:51 INFO     [api.task:434] Building contexts for mmlu_professional_law on rank 0...

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2025-12-01:20:24:00 INFO     [api.task:434] Building contexts for mmlu_world_religions on rank 0...

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2025-12-01:20:24:01 INFO     [evaluator:559] Running loglikelihood requests

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fatal: detected dubious ownership in repository at '/mnt/bn/life-mllm/users/cxr/quantization'
To add an exception for this directory, call:

	git config --global --add safe.directory /mnt/bn/life-mllm/users/cxr/quantization
2025-12-01:20:41:39 INFO     [loggers.evaluation_tracker:209] Saving results aggregated
Passed argument batch_size = auto:1. Detecting largest batch size
Determined largest batch size: 22
hf (pretrained=/mnt/bn/life-mllm/users/cxr/quantization/models/meta-llama/Llama-3.1-8B), gen_kwargs: (None), limit: None, num_fewshot: 5, batch_size: auto (22)
|                 Tasks                 |Version|Filter|n-shot|Metric|   |Value |   |Stderr|
|---------------------------------------|------:|------|-----:|------|---|-----:|---|-----:|
|mmlu                                   |      2|none  |      |acc   |↑  |0.6507|±  |0.0038|
| - humanities                          |      2|none  |      |acc   |↑  |0.5991|±  |0.0068|
|  - formal_logic                       |      1|none  |     5|acc   |↑  |0.4841|±  |0.0447|
|  - high_school_european_history       |      1|none  |     5|acc   |↑  |0.7758|±  |0.0326|
|  - high_school_us_history             |      1|none  |     5|acc   |↑  |0.8137|±  |0.0273|
|  - high_school_world_history          |      1|none  |     5|acc   |↑  |0.8186|±  |0.0251|
|  - international_law                  |      1|none  |     5|acc   |↑  |0.8182|±  |0.0352|
|  - jurisprudence                      |      1|none  |     5|acc   |↑  |0.7315|±  |0.0428|
|  - logical_fallacies                  |      1|none  |     5|acc   |↑  |0.7485|±  |0.0341|
|  - moral_disputes                     |      1|none  |     5|acc   |↑  |0.7254|±  |0.0240|
|  - moral_scenarios                    |      1|none  |     5|acc   |↑  |0.4145|±  |0.0165|
|  - philosophy                         |      1|none  |     5|acc   |↑  |0.7267|±  |0.0253|
|  - prehistory                         |      1|none  |     5|acc   |↑  |0.7191|±  |0.0250|
|  - professional_law                   |      1|none  |     5|acc   |↑  |0.4896|±  |0.0128|
|  - world_religions                    |      1|none  |     5|acc   |↑  |0.8070|±  |0.0303|
| - other                               |      2|none  |      |acc   |↑  |0.7187|±  |0.0077|
|  - business_ethics                    |      1|none  |     5|acc   |↑  |0.6400|±  |0.0482|
|  - clinical_knowledge                 |      1|none  |     5|acc   |↑  |0.7509|±  |0.0266|
|  - college_medicine                   |      1|none  |     5|acc   |↑  |0.6474|±  |0.0364|
|  - global_facts                       |      1|none  |     5|acc   |↑  |0.3200|±  |0.0469|
|  - human_aging                        |      1|none  |     5|acc   |↑  |0.6996|±  |0.0308|
|  - management                         |      1|none  |     5|acc   |↑  |0.8544|±  |0.0349|
|  - marketing                          |      1|none  |     5|acc   |↑  |0.8632|±  |0.0225|
|  - medical_genetics                   |      1|none  |     5|acc   |↑  |0.8300|±  |0.0378|
|  - miscellaneous                      |      1|none  |     5|acc   |↑  |0.8072|±  |0.0141|
|  - nutrition                          |      1|none  |     5|acc   |↑  |0.7974|±  |0.0230|
|  - professional_accounting            |      1|none  |     5|acc   |↑  |0.4894|±  |0.0298|
|  - professional_medicine              |      1|none  |     5|acc   |↑  |0.6912|±  |0.0281|
|  - virology                           |      1|none  |     5|acc   |↑  |0.5723|±  |0.0385|
| - social sciences                     |      2|none  |      |acc   |↑  |0.7598|±  |0.0075|
|  - econometrics                       |      1|none  |     5|acc   |↑  |0.4912|±  |0.0470|
|  - high_school_geography              |      1|none  |     5|acc   |↑  |0.8131|±  |0.0278|
|  - high_school_government_and_politics|      1|none  |     5|acc   |↑  |0.8808|±  |0.0234|
|  - high_school_macroeconomics         |      1|none  |     5|acc   |↑  |0.6462|±  |0.0242|
|  - high_school_microeconomics         |      1|none  |     5|acc   |↑  |0.7395|±  |0.0285|
|  - high_school_psychology             |      1|none  |     5|acc   |↑  |0.8495|±  |0.0153|
|  - human_sexuality                    |      1|none  |     5|acc   |↑  |0.7710|±  |0.0369|
|  - professional_psychology            |      1|none  |     5|acc   |↑  |0.7157|±  |0.0182|
|  - public_relations                   |      1|none  |     5|acc   |↑  |0.7091|±  |0.0435|
|  - security_studies                   |      1|none  |     5|acc   |↑  |0.7265|±  |0.0285|
|  - sociology                          |      1|none  |     5|acc   |↑  |0.8806|±  |0.0229|
|  - us_foreign_policy                  |      1|none  |     5|acc   |↑  |0.8800|±  |0.0327|
| - stem                                |      2|none  |      |acc   |↑  |0.5541|±  |0.0085|
|  - abstract_algebra                   |      1|none  |     5|acc   |↑  |0.3000|±  |0.0461|
|  - anatomy                            |      1|none  |     5|acc   |↑  |0.6296|±  |0.0417|
|  - astronomy                          |      1|none  |     5|acc   |↑  |0.7105|±  |0.0369|
|  - college_biology                    |      1|none  |     5|acc   |↑  |0.7708|±  |0.0351|
|  - college_chemistry                  |      1|none  |     5|acc   |↑  |0.4400|±  |0.0499|
|  - college_computer_science           |      1|none  |     5|acc   |↑  |0.4900|±  |0.0502|
|  - college_mathematics                |      1|none  |     5|acc   |↑  |0.3200|±  |0.0469|
|  - college_physics                    |      1|none  |     5|acc   |↑  |0.4804|±  |0.0497|
|  - computer_security                  |      1|none  |     5|acc   |↑  |0.8400|±  |0.0368|
|  - conceptual_physics                 |      1|none  |     5|acc   |↑  |0.6000|±  |0.0320|
|  - electrical_engineering             |      1|none  |     5|acc   |↑  |0.6138|±  |0.0406|
|  - elementary_mathematics             |      1|none  |     5|acc   |↑  |0.4365|±  |0.0255|
|  - high_school_biology                |      1|none  |     5|acc   |↑  |0.7806|±  |0.0235|
|  - high_school_chemistry              |      1|none  |     5|acc   |↑  |0.5320|±  |0.0351|
|  - high_school_computer_science       |      1|none  |     5|acc   |↑  |0.6700|±  |0.0473|
|  - high_school_mathematics            |      1|none  |     5|acc   |↑  |0.4074|±  |0.0300|
|  - high_school_physics                |      1|none  |     5|acc   |↑  |0.4437|±  |0.0406|
|  - high_school_statistics             |      1|none  |     5|acc   |↑  |0.5417|±  |0.0340|
|  - machine_learning                   |      1|none  |     5|acc   |↑  |0.4375|±  |0.0471|

|      Groups      |Version|Filter|n-shot|Metric|   |Value |   |Stderr|
|------------------|------:|------|------|------|---|-----:|---|-----:|
|mmlu              |      2|none  |      |acc   |↑  |0.6507|±  |0.0038|
| - humanities     |      2|none  |      |acc   |↑  |0.5991|±  |0.0068|
| - other          |      2|none  |      |acc   |↑  |0.7187|±  |0.0077|
| - social sciences|      2|none  |      |acc   |↑  |0.7598|±  |0.0075|
| - stem           |      2|none  |      |acc   |↑  |0.5541|±  |0.0085|

任务 mmlu 评估完成！

==================================================
开始评估：任务=arc_challenge | 少样本数=25 | 模型=Llama-3.1-8B
输出路径：results2/Llama-3.1-8B/base_arc_challenge.json
==================================================
2025-12-01:20:42:18 INFO     [__main__:440] Selected Tasks: ['arc_challenge']
2025-12-01:20:42:18 INFO     [evaluator:189] Setting random seed to 0 | Setting numpy seed to 1234 | Setting torch manual seed to 1234 | Setting fewshot manual seed to 1234
2025-12-01:20:42:18 INFO     [evaluator:227] Initializing hf model, with arguments: {'pretrained': '/mnt/bn/life-mllm/users/cxr/quantization/models/meta-llama/Llama-3.1-8B'}
2025-12-01:20:42:19 WARNING  [accelerate.utils.other:513] Detected kernel version 5.4.143, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.
2025-12-01:20:42:19 INFO     [models.huggingface:137] Using device 'cuda:2'
2025-12-01:20:42:19 INFO     [models.huggingface:382] Model parallel was set to False, max memory was not set, and device map was set to {'': 'cuda:2'}
`torch_dtype` is deprecated! Use `dtype` instead!

Loading checkpoint shards:   0%|          | 0/4 [00:00<?, ?it/s]
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Loading checkpoint shards: 100%|██████████| 4/4 [00:03<00:00,  1.33it/s]
2025-12-01:20:42:37 WARNING  [evaluator:309] Overwriting default num_fewshot of arc_challenge from None to 25
2025-12-01:20:42:37 INFO     [api.task:434] Building contexts for arc_challenge on rank 0...

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fatal: detected dubious ownership in repository at '/mnt/bn/life-mllm/users/cxr/quantization'
To add an exception for this directory, call:

	git config --global --add safe.directory /mnt/bn/life-mllm/users/cxr/quantization
2025-12-01:20:49:13 INFO     [loggers.evaluation_tracker:209] Saving results aggregated
Passed argument batch_size = auto:1. Detecting largest batch size
Determined largest batch size: 64
hf (pretrained=/mnt/bn/life-mllm/users/cxr/quantization/models/meta-llama/Llama-3.1-8B), gen_kwargs: (None), limit: None, num_fewshot: 25, batch_size: auto (64)
|    Tasks    |Version|Filter|n-shot| Metric |   |Value |   |Stderr|
|-------------|------:|------|-----:|--------|---|-----:|---|-----:|
|arc_challenge|      1|none  |    25|acc     |↑  |0.5452|±  |0.0146|
|             |       |none  |    25|acc_norm|↑  |0.5759|±  |0.0144|

任务 arc_challenge 评估完成！

==================================================
开始评估：任务=truthfulqa_mc1 | 少样本数=0 | 模型=Llama-3.1-8B
输出路径：results2/Llama-3.1-8B/base_truthfulqa_mc1.json
==================================================
2025-12-01:20:49:52 INFO     [__main__:440] Selected Tasks: ['truthfulqa_mc1']
2025-12-01:20:49:52 INFO     [evaluator:189] Setting random seed to 0 | Setting numpy seed to 1234 | Setting torch manual seed to 1234 | Setting fewshot manual seed to 1234
2025-12-01:20:49:52 INFO     [evaluator:227] Initializing hf model, with arguments: {'pretrained': '/mnt/bn/life-mllm/users/cxr/quantization/models/meta-llama/Llama-3.1-8B'}
2025-12-01:20:49:52 WARNING  [accelerate.utils.other:513] Detected kernel version 5.4.143, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.
2025-12-01:20:49:52 INFO     [models.huggingface:137] Using device 'cuda:2'
2025-12-01:20:49:52 INFO     [models.huggingface:382] Model parallel was set to False, max memory was not set, and device map was set to {'': 'cuda:2'}
`torch_dtype` is deprecated! Use `dtype` instead!

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2025-12-01:20:50:16 INFO     [evaluator:305] num_fewshot has been set to 0 for truthfulqa_mc1 in its config. Manual configuration will be ignored.
2025-12-01:20:50:16 INFO     [api.task:434] Building contexts for truthfulqa_mc1 on rank 0...

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2025-12-01:20:50:17 INFO     [evaluator:559] Running loglikelihood requests

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fatal: detected dubious ownership in repository at '/mnt/bn/life-mllm/users/cxr/quantization'
To add an exception for this directory, call:

	git config --global --add safe.directory /mnt/bn/life-mllm/users/cxr/quantization
2025-12-01:20:51:28 INFO     [loggers.evaluation_tracker:209] Saving results aggregated
Passed argument batch_size = auto:1. Detecting largest batch size
Determined largest batch size: 64
hf (pretrained=/mnt/bn/life-mllm/users/cxr/quantization/models/meta-llama/Llama-3.1-8B), gen_kwargs: (None), limit: None, num_fewshot: 0, batch_size: auto (64)
|    Tasks     |Version|Filter|n-shot|Metric|   |Value |   |Stderr|
|--------------|------:|------|-----:|------|---|-----:|---|-----:|
|truthfulqa_mc1|      2|none  |     0|acc   |↑  |0.2827|±  |0.0158|

任务 truthfulqa_mc1 评估完成！

==================================================
开始评估：任务=hellaswag | 少样本数=10 | 模型=Llama-3.1-8B
输出路径：results2/Llama-3.1-8B/base_hellaswag.json
==================================================
2025-12-01:20:52:06 INFO     [__main__:440] Selected Tasks: ['hellaswag']
2025-12-01:20:52:06 INFO     [evaluator:189] Setting random seed to 0 | Setting numpy seed to 1234 | Setting torch manual seed to 1234 | Setting fewshot manual seed to 1234
2025-12-01:20:52:06 INFO     [evaluator:227] Initializing hf model, with arguments: {'pretrained': '/mnt/bn/life-mllm/users/cxr/quantization/models/meta-llama/Llama-3.1-8B'}
2025-12-01:20:52:06 WARNING  [accelerate.utils.other:513] Detected kernel version 5.4.143, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.
2025-12-01:20:52:06 INFO     [models.huggingface:137] Using device 'cuda:2'
2025-12-01:20:52:07 INFO     [models.huggingface:382] Model parallel was set to False, max memory was not set, and device map was set to {'': 'cuda:2'}
`torch_dtype` is deprecated! Use `dtype` instead!

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2025-12-01:20:52:35 WARNING  [evaluator:309] Overwriting default num_fewshot of hellaswag from None to 10
2025-12-01:20:52:35 INFO     [api.task:434] Building contexts for hellaswag on rank 0...

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2025-12-01:20:53:26 INFO     [evaluator:559] Running loglikelihood requests

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fatal: detected dubious ownership in repository at '/mnt/bn/life-mllm/users/cxr/quantization'
To add an exception for this directory, call:

	git config --global --add safe.directory /mnt/bn/life-mllm/users/cxr/quantization
2025-12-01:21:38:59 INFO     [loggers.evaluation_tracker:209] Saving results aggregated
Passed argument batch_size = auto:1. Detecting largest batch size
Determined largest batch size: 64
hf (pretrained=/mnt/bn/life-mllm/users/cxr/quantization/models/meta-llama/Llama-3.1-8B), gen_kwargs: (None), limit: None, num_fewshot: 10, batch_size: auto (64)
|  Tasks  |Version|Filter|n-shot| Metric |   |Value |   |Stderr|
|---------|------:|------|-----:|--------|---|-----:|---|-----:|
|hellaswag|      1|none  |    10|acc     |↑  |0.6155|±  |0.0049|
|         |       |none  |    10|acc_norm|↑  |0.8186|±  |0.0038|

任务 hellaswag 评估完成！