README.md

mlfoundations-dev/b1_math_top_4_eval_636d

Precomputed model outputs for evaluation.

Evaluation Results

Summary

Metric	AIME24	AMC23	MATH500	MMLUPro	JEEBench	GPQADiamond	LiveCodeBench	CodeElo	CodeForces
Accuracy	23.0	63.2	81.8	29.2	44.6	38.2	19.4	4.0	3.6

AIME24

• Average Accuracy: 23.00% ± 0.57%
• Number of Runs: 10

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

AMC23

• Average Accuracy: 63.25% ± 1.73%
• Number of Runs: 10

Run	Accuracy	Questions Solved	Total Questions
1	65.00%	26	40
2	67.50%	27	40
3	57.50%	23	40
4	72.50%	29	40
5	52.50%	21	40
6	65.00%	26	40
7	65.00%	26	40
8	60.00%	24	40
9	67.50%	27	40
10	60.00%	24	40

MATH500

• Accuracy: 81.80%

  Accuracy	Questions Solved	Total Questions
  81.80%	409	500

MMLUPro

• Average Accuracy: 29.20% ± 0.00%
• Number of Runs: 1

Run	Accuracy	Questions Solved	Total Questions
1	29.20%	146	500

JEEBench

• Average Accuracy: 44.63% ± 0.59%
• Number of Runs: 3

Run	Accuracy	Questions Solved	Total Questions
1	46.07%	237.25	515
2	43.88%	226.0	515
3	43.93%	226.25	515

GPQADiamond

• Average Accuracy: 38.22% ± 0.69%
• Number of Runs: 3

Run	Accuracy	Questions Solved	Total Questions
1	37.37%	74	198
2	37.37%	74	198
3	39.90%	79	198

LiveCodeBench

• Average Accuracy: 19.37% ± 0.49%
• Number of Runs: 3

Run	Accuracy	Questions Solved	Total Questions
1	18.98%	97	511
2	20.35%	104	511
3	18.79%	96	511

CodeElo

• Average Accuracy: 4.01% ± 0.23%
• Number of Runs: 3

Run	Accuracy	Questions Solved	Total Questions
1	4.09%	16	391
2	4.35%	17	391
3	3.58%	14	391

CodeForces

• Average Accuracy: 3.61% ± 0.27%
• Number of Runs: 3

Run	Accuracy	Questions Solved	Total Questions
1	3.09%	14	453
2	3.75%	17	453
3	3.97%	18	453