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python3 run_our_benchmark.py \
WhirlwindAI/Arithmetic-SLM \
--device cuda \
--dtype bfloat16 \
--batch-size auto \
--skip-lm-eval \
--our-benchmark-split train \
--json-out bench_Benchmark_TEST.json
==========================================================================
OPEN SLM LEADERBOARD STYLE RESULT
==========================================================================
Model: WhirlwindAI/Arithmetic-SLM
Params: 19,372,800
--------------------------------------------------------------------------
Benchmark Task Metric Score
--------------------------------------------------------------------------
Our Benchmark WhirlwindAI/Benchm acc_custom_loglikelihood_mea 82.10%
--------------------------------------------------------------------------
Final Avg N/A
==========================================================================
our_benchmark details: 821/1000 correct, skipped=0, split=train
[INFO] Saved JSON: bench_Benchmark_TEST.json
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