README.md

mlfoundations-dev/b1_math_top_1_eval_636d

Precomputed model outputs for evaluation.

Evaluation Results

Summary

Metric	AIME24	AMC23	MATH500	MMLUPro	JEEBench	GPQADiamond	LiveCodeBench	CodeElo	CodeForces
Accuracy	25.7	71.8	83.0	35.0	44.0	39.7	23.0	6.5	6.8

AIME24

• Average Accuracy: 25.67% ± 2.41%
• Number of Runs: 10

Run	Accuracy	Questions Solved	Total Questions
1	23.33%	7	30
2	30.00%	9	30
3	13.33%	4	30
4	36.67%	11	30
5	26.67%	8	30
6	30.00%	9	30
7	20.00%	6	30
8	30.00%	9	30
9	33.33%	10	30
10	13.33%	4	30

AMC23

• Average Accuracy: 71.75% ± 1.80%
• Number of Runs: 10

Run	Accuracy	Questions Solved	Total Questions
1	80.00%	32	40
2	75.00%	30	40
3	77.50%	31	40
4	77.50%	31	40
5	62.50%	25	40
6	72.50%	29	40
7	65.00%	26	40
8	65.00%	26	40
9	72.50%	29	40
10	70.00%	28	40

MATH500

• Accuracy: 83.00%

  Accuracy	Questions Solved	Total Questions
  83.00%	415	500

MMLUPro

• Average Accuracy: 35.00% ± 0.00%
• Number of Runs: 1

Run	Accuracy	Questions Solved	Total Questions
1	35.00%	175	500

JEEBench

• Average Accuracy: 43.98% ± 1.35%
• Number of Runs: 3

Run	Accuracy	Questions Solved	Total Questions
1	46.17%	237.75	515
2	40.73%	209.75	515
3	45.05%	232.0	515

GPQADiamond

• Average Accuracy: 39.73% ± 0.36%
• Number of Runs: 3

Run	Accuracy	Questions Solved	Total Questions
1	39.90%	79	198
2	40.40%	80	198
3	38.89%	77	198

LiveCodeBench

• Average Accuracy: 23.03% ± 0.62%
• Number of Runs: 3

Run	Accuracy	Questions Solved	Total Questions
1	23.09%	118	511
2	21.92%	112	511
3	24.07%	123	511

CodeElo

• Average Accuracy: 6.48% ± 1.05%
• Number of Runs: 3

Run	Accuracy	Questions Solved	Total Questions
1	6.14%	24	391
2	4.86%	19	391
3	8.44%	33	391

CodeForces

• Average Accuracy: 6.84% ± 0.89%
• Number of Runs: 3

Run	Accuracy	Questions Solved	Total Questions
1	5.30%	24	453
2	8.39%	38	453
3	6.84%	31	453