README.md

mlfoundations-dev/a1_math_tiger_math_eval_636d

Precomputed model outputs for evaluation.

Evaluation Results

Summary

Metric	AIME24	AMC23	MATH500	MMLUPro	JEEBench	GPQADiamond	LiveCodeBench	CodeElo	CodeForces
Accuracy	18.7	58.8	77.4	26.6	35.5	45.1	17.2	3.7	5.7

AIME24

• Average Accuracy: 18.67% ± 1.17%
• Number of Runs: 10

Run	Accuracy	Questions Solved	Total Questions
1	23.33%	7	30
2	20.00%	6	30
3	13.33%	4	30
4	16.67%	5	30
5	16.67%	5	30
6	16.67%	5	30
7	20.00%	6	30
8	16.67%	5	30
9	26.67%	8	30
10	16.67%	5	30

AMC23

• Average Accuracy: 58.75% ± 1.47%
• Number of Runs: 10

Run	Accuracy	Questions Solved	Total Questions
1	65.00%	26	40
2	57.50%	23	40
3	62.50%	25	40
4	55.00%	22	40
5	65.00%	26	40
6	52.50%	21	40
7	52.50%	21	40
8	60.00%	24	40
9	62.50%	25	40
10	55.00%	22	40

MATH500

• Accuracy: 77.40%

  Accuracy	Questions Solved	Total Questions
  77.40%	387	500

MMLUPro

• Average Accuracy: 26.60% ± 0.00%
• Number of Runs: 1

Run	Accuracy	Questions Solved	Total Questions
1	26.60%	133	500

JEEBench

• Average Accuracy: 35.47% ± 0.53%
• Number of Runs: 3

Run	Accuracy	Questions Solved	Total Questions
1	35.53%	183.0	515
2	34.32%	176.75	515
3	36.55%	188.25	515

GPQADiamond

• Average Accuracy: 45.12% ± 1.69%
• Number of Runs: 3

Run	Accuracy	Questions Solved	Total Questions
1	41.92%	83	198
2	44.44%	88	198
3	48.99%	97	198

LiveCodeBench

• Average Accuracy: 17.16% ± 0.69%
• Number of Runs: 3

Run	Accuracy	Questions Solved	Total Questions
1	17.42%	89	511
2	15.85%	81	511
3	18.20%	93	511

CodeElo

• Average Accuracy: 3.67% ± 0.23%
• Number of Runs: 3

Run	Accuracy	Questions Solved	Total Questions
1	3.32%	13	391
2	4.09%	16	391
3	3.58%	14	391

CodeForces

• Average Accuracy: 5.67% ± 0.63%
• Number of Runs: 3

Run	Accuracy	Questions Solved	Total Questions
1	6.40%	29	453
2	4.42%	20	453
3	6.18%	28	453