Files
MicroLLM2/mmlu_run.log
ModelHub XC f9ca541196 初始化项目,由ModelHub XC社区提供模型
Model: MLVXN/MicroLLM2
Source: Original Platform
2026-09-14 14:54:18 +08:00

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[MMLU] start Sun Aug 9 22:52:08 UTC 2026
[*] MicroLLM2 MMLU — model: /home/zeus/microllm2/microllm2-checkpoints/final_merged shots=5 limit=20
[*] GPT2-XL 1.5B 1024ctx vocab=50259 (ChatML) — MMLU via direct eval (no harness needed)
[*] lm-eval not installed — using lightweight direct MMLU eval (same logic, no harness)
[*] Install harness for official numbers: pip install lm-eval==0.4.4
[*] Loading tokenizer + model /home/zeus/microllm2/microllm2-checkpoints/final_merged ...
[+] Loaded on cuda:0 dtype=torch.bfloat16 — starting MMLU
MMLU subjects: 0%| | 0/57 [00:00<?, ?it/s]
============================================================
[>] abstract_algebra (shots=5)
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abstract_algebra: 5%|▌ | 1/20 [00:01<00:28, 1.50s/it]
abstract_algebra: 15%|█▌ | 3/20 [00:01<00:07, 2.32it/s]
abstract_algebra: 25%|██▌ | 5/20 [00:01<00:03, 4.18it/s]
abstract_algebra: 40%|████ | 8/20 [00:01<00:01, 7.37it/s]
abstract_algebra: 50%|█████ | 10/20 [00:01<00:01, 9.23it/s]
abstract_algebra: 70%|███████ | 14/20 [00:02<00:00, 13.77it/s]
abstract_algebra: 85%|████████▌ | 17/20 [00:02<00:00, 15.93it/s]
abstract_algebra: 100%|██████████| 20/20 [00:02<00:00, 16.59it/s]

MMLU subjects: 2%|▏ | 1/57 [00:03<03:40, 3.94s/it][=] abstract_algebra: 6/20 = 30.0% (running avg 30.0%)
============================================================
[>] anatomy (shots=5)
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Generating dev split: 100%|██████████| 5/5 [00:00<00:00, 1496.15 examples/s]
anatomy: 0%| | 0/20 [00:00<?, ?it/s]
anatomy: 10%|█ | 2/20 [00:00<00:01, 14.47it/s]
anatomy: 30%|███ | 6/20 [00:00<00:00, 26.90it/s]
anatomy: 45%|████▌ | 9/20 [00:00<00:00, 25.51it/s]
anatomy: 60%|██████ | 12/20 [00:00<00:00, 25.08it/s]
anatomy: 75%|███████▌ | 15/20 [00:00<00:00, 24.24it/s]
anatomy: 90%|█████████ | 18/20 [00:00<00:00, 22.08it/s]

MMLU subjects: 4%|▎ | 2/57 [00:07<03:32, 3.87s/it][=] anatomy: 5/20 = 25.0% (running avg 27.5%)
============================================================
[>] astronomy (shots=5)
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astronomy: 0%| | 0/20 [00:00<?, ?it/s]
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astronomy: 30%|███ | 6/20 [00:00<00:00, 16.13it/s]
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astronomy: 70%|███████ | 14/20 [00:00<00:00, 17.30it/s]
astronomy: 85%|████████▌ | 17/20 [00:00<00:00, 19.30it/s]
astronomy: 95%|█████████▌| 19/20 [00:01<00:00, 18.77it/s]

MMLU subjects: 5%|▌ | 3/57 [00:11<03:27, 3.84s/it][=] astronomy: 7/20 = 35.0% (running avg 30.0%)
============================================================
[>] business_ethics (shots=5)
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business_ethics: 0%| | 0/20 [00:00<?, ?it/s]
business_ethics: 10%|█ | 2/20 [00:00<00:01, 13.54it/s]
business_ethics: 20%|██ | 4/20 [00:00<00:01, 15.82it/s]
business_ethics: 40%|████ | 8/20 [00:00<00:00, 24.58it/s]
business_ethics: 55%|█████▌ | 11/20 [00:00<00:00, 24.05it/s]
business_ethics: 70%|███████ | 14/20 [00:00<00:00, 23.77it/s]
business_ethics: 85%|████████▌ | 17/20 [00:00<00:00, 23.72it/s]
business_ethics: 100%|██████████| 20/20 [00:00<00:00, 23.56it/s]

MMLU subjects: 7%|▋ | 4/57 [00:15<03:28, 3.94s/it][=] business_ethics: 6/20 = 30.0% (running avg 30.0%)
============================================================
[>] clinical_knowledge (shots=5)
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clinical_knowledge: 0%| | 0/20 [00:00<?, ?it/s]
clinical_knowledge: 10%|█ | 2/20 [00:00<00:00, 18.25it/s]
clinical_knowledge: 20%|██ | 4/20 [00:00<00:00, 18.30it/s]
clinical_knowledge: 30%|███ | 6/20 [00:00<00:00, 18.27it/s]
clinical_knowledge: 40%|████ | 8/20 [00:00<00:00, 17.59it/s]
clinical_knowledge: 50%|█████ | 10/20 [00:00<00:00, 17.81it/s]
clinical_knowledge: 60%|██████ | 12/20 [00:00<00:00, 17.79it/s]
clinical_knowledge: 75%|███████▌ | 15/20 [00:00<00:00, 19.91it/s]
clinical_knowledge: 90%|█████████ | 18/20 [00:00<00:00, 21.28it/s]

MMLU subjects: 9%|▉ | 5/57 [00:19<03:24, 3.92s/it][=] clinical_knowledge: 9/20 = 45.0% (running avg 33.0%)
============================================================
[>] college_biology (shots=5)
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college_biology: 0%| | 0/20 [00:00<?, ?it/s]
college_biology: 10%|█ | 2/20 [00:00<00:01, 13.57it/s]
college_biology: 20%|██ | 4/20 [00:00<00:00, 16.07it/s]
college_biology: 35%|███▌ | 7/20 [00:00<00:00, 19.65it/s]
college_biology: 45%|████▌ | 9/20 [00:00<00:00, 19.01it/s]
college_biology: 65%|██████▌ | 13/20 [00:00<00:00, 22.13it/s]
college_biology: 80%|████████ | 16/20 [00:00<00:00, 22.36it/s]
college_biology: 95%|█████████▌| 19/20 [00:00<00:00, 22.63it/s]

MMLU subjects: 11%|█ | 6/57 [00:23<03:14, 3.81s/it][=] college_biology: 9/20 = 45.0% (running avg 35.0%)
============================================================
[>] college_chemistry (shots=5)
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college_chemistry: 0%| | 0/20 [00:00<?, ?it/s]
college_chemistry: 10%|█ | 2/20 [00:00<00:01, 12.89it/s]
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college_chemistry: 40%|████ | 8/20 [00:00<00:00, 20.45it/s]
college_chemistry: 55%|█████▌ | 11/20 [00:00<00:00, 19.28it/s]
college_chemistry: 65%|██████▌ | 13/20 [00:00<00:00, 18.81it/s]
college_chemistry: 85%|████████▌ | 17/20 [00:00<00:00, 21.88it/s]

MMLU subjects: 12%|█▏ | 7/57 [00:27<03:14, 3.88s/it][=] college_chemistry: 3/20 = 15.0% (running avg 32.1%)
============================================================
[>] college_computer_science (shots=5)
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college_computer_science: 100%|██████████| 20/20 [00:01<00:00, 17.00it/s]

MMLU subjects: 14%|█▍ | 8/57 [00:31<03:10, 3.88s/it][=] college_computer_science: 9/20 = 45.0% (running avg 33.8%)
============================================================
[>] college_mathematics (shots=5)
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college_mathematics: 35%|███▌ | 7/20 [00:00<00:00, 19.18it/s]
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college_mathematics: 95%|█████████▌| 19/20 [00:00<00:00, 23.83it/s]

MMLU subjects: 16%|█▌ | 9/57 [00:34<03:01, 3.79s/it][=] college_mathematics: 7/20 = 35.0% (running avg 33.9%)
============================================================
[>] college_medicine (shots=5)
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college_medicine: 45%|████▌ | 9/20 [00:00<00:00, 19.76it/s]
college_medicine: 55%|█████▌ | 11/20 [00:00<00:00, 18.87it/s]
college_medicine: 65%|██████▌ | 13/20 [00:00<00:00, 18.40it/s]
college_medicine: 75%|███████▌ | 15/20 [00:00<00:00, 18.19it/s]
college_medicine: 100%|██████████| 20/20 [00:00<00:00, 25.63it/s]

MMLU subjects: 18%|█▊ | 10/57 [00:38<02:55, 3.74s/it][=] college_medicine: 6/20 = 30.0% (running avg 33.5%)
============================================================
[>] college_physics (shots=5)
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college_physics: 90%|█████████ | 18/20 [00:00<00:00, 27.68it/s]

MMLU subjects: 19%|█▉ | 11/57 [00:42<02:55, 3.82s/it][=] college_physics: 3/20 = 15.0% (running avg 31.8%)
============================================================
[>] computer_security (shots=5)
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computer_security: 20%|██ | 4/20 [00:00<00:00, 18.42it/s]
computer_security: 35%|███▌ | 7/20 [00:00<00:00, 21.21it/s]
computer_security: 55%|█████▌ | 11/20 [00:00<00:00, 24.40it/s]
computer_security: 70%|███████ | 14/20 [00:00<00:00, 24.22it/s]
computer_security: 90%|█████████ | 18/20 [00:00<00:00, 28.44it/s]

MMLU subjects: 21%|██ | 12/57 [00:45<02:48, 3.75s/it][=] computer_security: 6/20 = 30.0% (running avg 31.7%)
============================================================
[>] conceptual_physics (shots=5)
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conceptual_physics: 10%|█ | 2/20 [00:00<00:01, 13.26it/s]
conceptual_physics: 25%|██▌ | 5/20 [00:00<00:00, 18.87it/s]
conceptual_physics: 35%|███▌ | 7/20 [00:00<00:00, 18.34it/s]
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conceptual_physics: 70%|███████ | 14/20 [00:00<00:00, 25.59it/s]
conceptual_physics: 85%|████████▌ | 17/20 [00:00<00:00, 24.89it/s]
conceptual_physics: 100%|██████████| 20/20 [00:00<00:00, 24.58it/s]

MMLU subjects: 23%|██▎ | 13/57 [00:49<02:40, 3.66s/it][=] conceptual_physics: 1/20 = 5.0% (running avg 29.6%)
============================================================
[>] econometrics (shots=5)
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Downloading data: 100%|██████████| 4.54k/4.54k [00:00<00:00, 29.1kB/s]
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econometrics: 20%|██ | 4/20 [00:00<00:00, 29.13it/s]
econometrics: 35%|███▌ | 7/20 [00:00<00:00, 22.20it/s]
econometrics: 55%|█████▌ | 11/20 [00:00<00:00, 24.18it/s]
econometrics: 80%|████████ | 16/20 [00:00<00:00, 29.48it/s]
econometrics: 100%|██████████| 20/20 [00:00<00:00, 28.37it/s]

MMLU subjects: 25%|██▍ | 14/57 [00:53<02:39, 3.70s/it][=] econometrics: 6/20 = 30.0% (running avg 29.6%)
============================================================
[>] electrical_engineering (shots=5)
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electrical_engineering: 0%| | 0/20 [00:00<?, ?it/s]
electrical_engineering: 10%|█ | 2/20 [00:00<00:00, 19.15it/s]
electrical_engineering: 30%|███ | 6/20 [00:00<00:00, 24.71it/s]
electrical_engineering: 45%|████▌ | 9/20 [00:00<00:00, 21.26it/s]
electrical_engineering: 60%|██████ | 12/20 [00:00<00:00, 22.72it/s]
electrical_engineering: 90%|█████████ | 18/20 [00:00<00:00, 33.51it/s]

MMLU subjects: 26%|██▋ | 15/57 [00:56<02:30, 3.59s/it][=] electrical_engineering: 4/20 = 20.0% (running avg 29.0%)
============================================================
[>] elementary_mathematics (shots=5)
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elementary_mathematics: 10%|█ | 2/20 [00:00<00:01, 13.75it/s]
elementary_mathematics: 20%|██ | 4/20 [00:00<00:00, 16.16it/s]
elementary_mathematics: 30%|███ | 6/20 [00:00<00:00, 16.90it/s]
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elementary_mathematics: 85%|████████▌ | 17/20 [00:00<00:00, 26.72it/s]

MMLU subjects: 28%|██▊ | 16/57 [00:59<02:26, 3.56s/it][=] elementary_mathematics: 6/20 = 30.0% (running avg 29.1%)
============================================================
[>] formal_logic (shots=5)
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formal_logic: 20%|██ | 4/20 [00:00<00:01, 15.63it/s]
formal_logic: 30%|███ | 6/20 [00:00<00:00, 16.30it/s]
formal_logic: 45%|████▌ | 9/20 [00:00<00:00, 19.01it/s]
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formal_logic: 80%|████████ | 16/20 [00:00<00:00, 22.63it/s]
formal_logic: 95%|█████████▌| 19/20 [00:00<00:00, 22.82it/s]

MMLU subjects: 30%|██▉ | 17/57 [01:03<02:23, 3.58s/it][=] formal_logic: 2/20 = 10.0% (running avg 27.9%)
============================================================
[>] global_facts (shots=5)
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global_facts: 0%| | 0/20 [00:00<?, ?it/s]
global_facts: 10%|█ | 2/20 [00:00<00:00, 19.36it/s]
global_facts: 30%|███ | 6/20 [00:00<00:00, 30.23it/s]
global_facts: 50%|█████ | 10/20 [00:00<00:00, 33.55it/s]
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global_facts: 100%|██████████| 20/20 [00:00<00:00, 43.53it/s]

MMLU subjects: 32%|███▏ | 18/57 [01:06<02:15, 3.47s/it][=] global_facts: 7/20 = 35.0% (running avg 28.3%)
============================================================
[>] high_school_biology (shots=5)
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high_school_biology: 0%| | 0/20 [00:00<?, ?it/s]
high_school_biology: 15%|█▌ | 3/20 [00:00<00:00, 24.67it/s]
high_school_biology: 35%|███▌ | 7/20 [00:00<00:00, 31.39it/s]
high_school_biology: 55%|█████▌ | 11/20 [00:00<00:00, 25.25it/s]
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high_school_biology: 95%|█████████▌| 19/20 [00:00<00:00, 29.14it/s]

MMLU subjects: 33%|███▎ | 19/57 [01:10<02:10, 3.42s/it][=] high_school_biology: 9/20 = 45.0% (running avg 29.2%)
============================================================
[>] high_school_chemistry (shots=5)
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high_school_chemistry: 90%|█████████ | 18/20 [00:00<00:00, 41.15it/s]

MMLU subjects: 35%|███▌ | 20/57 [01:13<02:05, 3.40s/it][=] high_school_chemistry: 7/20 = 35.0% (running avg 29.5%)
============================================================
[>] high_school_computer_science (shots=5)
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high_school_computer_science: 95%|█████████▌| 19/20 [00:00<00:00, 23.39it/s]

MMLU subjects: 37%|███▋ | 21/57 [01:16<02:03, 3.43s/it][=] high_school_computer_science: 7/20 = 35.0% (running avg 29.8%)
============================================================
[>] high_school_european_history (shots=5)
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high_school_european_history: 45%|████▌ | 9/20 [00:00<00:00, 41.23it/s]
high_school_european_history: 70%|███████ | 14/20 [00:00<00:00, 43.45it/s]
high_school_european_history: 95%|█████████▌| 19/20 [00:00<00:00, 44.75it/s]

MMLU subjects: 39%|███▊ | 22/57 [01:20<01:57, 3.36s/it][=] high_school_european_history: 4/20 = 20.0% (running avg 29.3%)
============================================================
[>] high_school_geography (shots=5)
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Generating dev split: 100%|██████████| 5/5 [00:00<00:00, 1341.75 examples/s]
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high_school_geography: 45%|████▌ | 9/20 [00:00<00:00, 35.42it/s]
high_school_geography: 65%|██████▌ | 13/20 [00:00<00:00, 31.26it/s]
high_school_geography: 85%|████████▌ | 17/20 [00:00<00:00, 33.58it/s]

MMLU subjects: 40%|████ | 23/57 [01:23<01:53, 3.32s/it][=] high_school_geography: 5/20 = 25.0% (running avg 29.1%)
============================================================
[>] high_school_government_and_politics (shots=5)
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high_school_government_and_politics: 90%|█████████ | 18/20 [00:00<00:00, 39.98it/s]

MMLU subjects: 42%|████▏ | 24/57 [01:26<01:46, 3.23s/it][=] high_school_government_and_politics: 4/20 = 20.0% (running avg 28.7%)
============================================================
[>] high_school_macroeconomics (shots=5)
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Downloading data: 100%|██████████| 4.04k/4.04k [00:00<00:00, 29.8kB/s]
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high_school_macroeconomics: 25%|██▌ | 5/20 [00:00<00:00, 32.92it/s]
high_school_macroeconomics: 55%|█████▌ | 11/20 [00:00<00:00, 39.10it/s]
high_school_macroeconomics: 75%|███████▌ | 15/20 [00:00<00:00, 38.51it/s]
high_school_macroeconomics: 95%|█████████▌| 19/20 [00:00<00:00, 38.22it/s]

MMLU subjects: 44%|████▍ | 25/57 [01:29<01:43, 3.24s/it][=] high_school_macroeconomics: 0/20 = 0.0% (running avg 27.6%)
============================================================
[>] high_school_mathematics (shots=5)
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high_school_mathematics: 0%| | 0/20 [00:00<?, ?it/s]
high_school_mathematics: 10%|█ | 2/20 [00:00<00:01, 13.78it/s]
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high_school_mathematics: 65%|██████▌ | 13/20 [00:00<00:00, 37.38it/s]
high_school_mathematics: 95%|█████████▌| 19/20 [00:00<00:00, 39.66it/s]

MMLU subjects: 46%|████▌ | 26/57 [01:33<01:42, 3.29s/it][=] high_school_mathematics: 4/20 = 20.0% (running avg 27.3%)
============================================================
[>] high_school_microeconomics (shots=5)
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high_school_microeconomics: 15%|█▌ | 3/20 [00:00<00:00, 25.04it/s]
high_school_microeconomics: 35%|███▌ | 7/20 [00:00<00:00, 32.17it/s]
high_school_microeconomics: 55%|█████▌ | 11/20 [00:00<00:00, 34.15it/s]
high_school_microeconomics: 75%|███████▌ | 15/20 [00:00<00:00, 35.22it/s]
high_school_microeconomics: 95%|█████████▌| 19/20 [00:00<00:00, 31.88it/s]

MMLU subjects: 47%|████▋ | 27/57 [01:36<01:37, 3.25s/it][=] high_school_microeconomics: 7/20 = 35.0% (running avg 27.6%)
============================================================
[>] high_school_physics (shots=5)
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MMLU subjects: 49%|████▉ | 28/57 [01:38<01:27, 3.02s/it]Using the latest cached version of the dataset since cais/mmlu couldn't be found on the Hugging Face Hub
MMLU subjects: 51%|█████ | 29/57 [01:38<01:00, 2.15s/it]Using the latest cached version of the dataset since cais/mmlu couldn't be found on the Hugging Face Hub
Using the latest cached version of the dataset since cais/mmlu couldn't be found on the Hugging Face Hub
MMLU subjects: 54%|█████▍ | 31/57 [01:39<00:31, 1.20s/it]Using the latest cached version of the dataset since cais/mmlu couldn't be found on the Hugging Face Hub
MMLU subjects: 56%|█████▌ | 32/57 [01:39<00:23, 1.08it/s]Using the latest cached version of the dataset since cais/mmlu couldn't be found on the Hugging Face Hub
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MMLU subjects: 67%|██████▋ | 38/57 [01:39<00:04, 4.61it/s]Using the latest cached version of the dataset since cais/mmlu couldn't be found on the Hugging Face Hub
MMLU subjects: 68%|██████▊ | 39/57 [01:39<00:03, 5.47it/s]Using the latest cached version of the dataset since cais/mmlu couldn't be found on the Hugging Face Hub
MMLU subjects: 70%|███████ | 40/57 [01:39<00:02, 6.29it/s]Using the latest cached version of the dataset since cais/mmlu couldn't be found on the Hugging Face Hub
Using the latest cached version of the dataset since cais/mmlu couldn't be found on the Hugging Face Hub
MMLU subjects: 74%|███████▎ | 42/57 [01:40<00:01, 7.54it/s]Using the latest cached version of the dataset since cais/mmlu couldn't be found on the Hugging Face Hub
MMLU subjects: 75%|███████▌ | 43/57 [01:40<00:01, 7.82it/s]Using the latest cached version of the dataset since cais/mmlu couldn't be found on the Hugging Face Hub
MMLU subjects: 77%|███████▋ | 44/57 [01:40<00:01, 8.27it/s]Using the latest cached version of the dataset since cais/mmlu couldn't be found on the Hugging Face Hub
Using the latest cached version of the dataset since cais/mmlu couldn't be found on the Hugging Face Hub
MMLU subjects: 81%|████████ | 46/57 [01:40<00:01, 8.87it/s]Using the latest cached version of the dataset since cais/mmlu couldn't be found on the Hugging Face Hub
MMLU subjects: 82%|████████▏ | 47/57 [01:40<00:01, 9.04it/s]Using the latest cached version of the dataset since cais/mmlu couldn't be found on the Hugging Face Hub
MMLU subjects: 84%|████████▍ | 48/57 [01:40<00:00, 9.18it/s]Using the latest cached version of the dataset since cais/mmlu couldn't be found on the Hugging Face Hub
MMLU subjects: 86%|████████▌ | 49/57 [01:40<00:00, 9.33it/s]Using the latest cached version of the dataset since cais/mmlu couldn't be found on the Hugging Face Hub
MMLU subjects: 88%|████████▊ | 50/57 [01:40<00:00, 9.46it/s]Using the latest cached version of the dataset since cais/mmlu couldn't be found on the Hugging Face Hub
MMLU subjects: 89%|████████▉ | 51/57 [01:41<00:00, 9.49it/s]Using the latest cached version of the dataset since cais/mmlu couldn't be found on the Hugging Face Hub
MMLU subjects: 91%|█████████ | 52/57 [01:41<00:00, 9.62it/s]Using the latest cached version of the dataset since cais/mmlu couldn't be found on the Hugging Face Hub
MMLU subjects: 93%|█████████▎| 53/57 [01:41<00:00, 9.51it/s]Using the latest cached version of the dataset since cais/mmlu couldn't be found on the Hugging Face Hub
MMLU subjects: 95%|█████████▍| 54/57 [01:41<00:00, 9.56it/s]Using the latest cached version of the dataset since cais/mmlu couldn't be found on the Hugging Face Hub
MMLU subjects: 96%|█████████▋| 55/57 [01:41<00:00, 9.52it/s]Using the latest cached version of the dataset since cais/mmlu couldn't be found on the Hugging Face Hub
MMLU subjects: 98%|█████████▊| 56/57 [01:41<00:00, 9.56it/s]Using the latest cached version of the dataset since cais/mmlu couldn't be found on the Hugging Face Hub
MMLU subjects: 100%|██████████| 57/57 [01:41<00:00, 1.78s/it]
[!] Skip high_school_physics: Could not load MMLU subject high_school_physics
============================================================
[>] high_school_psychology (shots=5)
[!] Skip high_school_psychology: Could not load MMLU subject high_school_psychology
============================================================
[>] high_school_statistics (shots=5)
[!] Skip high_school_statistics: Could not load MMLU subject high_school_statistics
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[>] high_school_us_history (shots=5)
[!] Skip high_school_us_history: Could not load MMLU subject high_school_us_history
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[>] high_school_world_history (shots=5)
[!] Skip high_school_world_history: Could not load MMLU subject high_school_world_history
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[>] human_aging (shots=5)
[!] Skip human_aging: Could not load MMLU subject human_aging
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[>] human_sexuality (shots=5)
[!] Skip human_sexuality: Could not load MMLU subject human_sexuality
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[>] international_law (shots=5)
[!] Skip international_law: Could not load MMLU subject international_law
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[>] jurisprudence (shots=5)
[!] Skip jurisprudence: Could not load MMLU subject jurisprudence
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[>] logical_fallacies (shots=5)
[!] Skip logical_fallacies: Could not load MMLU subject logical_fallacies
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[>] machine_learning (shots=5)
[!] Skip machine_learning: Could not load MMLU subject machine_learning
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[>] management (shots=5)
[!] Skip management: Could not load MMLU subject management
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[>] marketing (shots=5)
[!] Skip marketing: Could not load MMLU subject marketing
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[>] medical_genetics (shots=5)
[!] Skip medical_genetics: Could not load MMLU subject medical_genetics
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[>] miscellaneous (shots=5)
[!] Skip miscellaneous: Could not load MMLU subject miscellaneous
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[>] moral_disputes (shots=5)
[!] Skip moral_disputes: Could not load MMLU subject moral_disputes
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[>] moral_scenarios (shots=5)
[!] Skip moral_scenarios: Could not load MMLU subject moral_scenarios
============================================================
[>] nutrition (shots=5)
[!] Skip nutrition: Could not load MMLU subject nutrition
============================================================
[>] philosophy (shots=5)
[!] Skip philosophy: Could not load MMLU subject philosophy
============================================================
[>] prehistory (shots=5)
[!] Skip prehistory: Could not load MMLU subject prehistory
============================================================
[>] professional_accounting (shots=5)
[!] Skip professional_accounting: Could not load MMLU subject professional_accounting
============================================================
[>] professional_law (shots=5)
[!] Skip professional_law: Could not load MMLU subject professional_law
============================================================
[>] professional_medicine (shots=5)
[!] Skip professional_medicine: Could not load MMLU subject professional_medicine
============================================================
[>] professional_psychology (shots=5)
[!] Skip professional_psychology: Could not load MMLU subject professional_psychology
============================================================
[>] public_relations (shots=5)
[!] Skip public_relations: Could not load MMLU subject public_relations
============================================================
[>] security_studies (shots=5)
[!] Skip security_studies: Could not load MMLU subject security_studies
============================================================
[>] sociology (shots=5)
[!] Skip sociology: Could not load MMLU subject sociology
============================================================
[>] us_foreign_policy (shots=5)
[!] Skip us_foreign_policy: Could not load MMLU subject us_foreign_policy
============================================================
[>] virology (shots=5)
[!] Skip virology: Could not load MMLU subject virology
============================================================
[>] world_religions (shots=5)
[!] Skip world_religions: Could not load MMLU subject world_religions
============================================================
MMLU RESULT — /home/zeus/microllm2/microllm2-checkpoints/final_merged
Shots: 5 Subjects: 27/57
abstract_algebra 30.0% (6/20)
anatomy 25.0% (5/20)
astronomy 35.0% (7/20)
business_ethics 30.0% (6/20)
clinical_knowledge 45.0% (9/20)
college_biology 45.0% (9/20)
college_chemistry 15.0% (3/20)
college_computer_science 45.0% (9/20)
college_mathematics 35.0% (7/20)
college_medicine 30.0% (6/20)
college_physics 15.0% (3/20)
computer_security 30.0% (6/20)
conceptual_physics 5.0% (1/20)
econometrics 30.0% (6/20)
electrical_engineering 20.0% (4/20)
elementary_mathematics 30.0% (6/20)
formal_logic 10.0% (2/20)
global_facts 35.0% (7/20)
high_school_biology 45.0% (9/20)
high_school_chemistry 35.0% (7/20)
high_school_computer_science 35.0% (7/20)
high_school_european_history 20.0% (4/20)
high_school_geography 25.0% (5/20)
high_school_government_and_politics 20.0% (4/20)
high_school_macroeconomics 0.0% (0/20)
high_school_mathematics 20.0% (4/20)
high_school_microeconomics 35.0% (7/20)
OVERALL: 149/540 = 27.59%
============================================================
[+] Saved mmlu_results.json
Note: GPT2-XL base ~24-26% MMLU (random 25%). MicroLLM2 distilled should be 25-30% —
MMLU is knowledge-heavy; GPT2 1.5B 1024ctx cannot match 7B+ models. Use as sanity check, not SOTA claim.
[MMLU] exit 0 at Sun Aug 9 22:53:53 UTC 2026
"total": 20,
"accuracy": 0.45
},
"college_mathematics": {
"correct": 7,
"total": 20,
"accuracy": 0.35
},
"college_medicine": {
"correct": 6,
"total": 20,
"accuracy": 0.3
},
"college_physics": {
"correct": 3,
"total": 20,
"accuracy": 0.15
},
"computer_security": {
"correct": 6,
"total": 20,
"accuracy": 0.3
},
"conceptual_physics": {
"correct": 1,
"total": 20,
"accuracy": 0.05
},
"econometrics": {
"correct": 6,
"total": 20,
"accuracy": 0.3
},
"electrical_engineering": {
"correct": 4,
"total": 20,
"accuracy": 0.2
},
"elementary_mathematics": {
"correct": 6,
"total": 20,
"accuracy": 0.3
},
"formal_logic": {
"correct": 2,
"total": 20,
"accuracy": 0.1
},
"global_facts": {
"correct": 7,
"total": 20,
"accuracy": 0.35
},
"high_school_biology": {
"correct": 9,
"total": 20,
"accuracy": 0.45
},
"high_school_chemistry": {
"correct": 7,
"total": 20,
"accuracy": 0.35
},
"high_school_computer_science": {
"correct": 7,
"total": 20,
"accuracy": 0.35
},
"high_school_european_history": {
"correct": 4,
"total": 20,
"accuracy": 0.2
},
"high_school_geography": {
"correct": 5,
"total": 20,
"accuracy": 0.25
},
"high_school_government_and_politics": {
"correct": 4,
"total": 20,
"accuracy": 0.2
},
"high_school_macroeconomics": {
"correct": 0,
"total": 20,
"accuracy": 0.0
},
"high_school_mathematics": {
"correct": 4,
"total": 20,
"accuracy": 0.2
},
"high_school_microeconomics": {
"correct": 7,
"total": 20,
"accuracy": 0.35
}
}
}'mmlu_results.json' -> '/teamspace/studios/this_studio/microllm2/mmlu_results.json'
'mmlu_run.log' -> '/teamspace/studios/this_studio/microllm2/mmlu_run.log'