README.md

mlfoundations-dev/a1_code_coder_stat_eval_636d

Precomputed model outputs for evaluation.

Evaluation Results

Summary

Metric	AIME24	AMC23	MATH500	MMLUPro	JEEBench	GPQADiamond	LiveCodeBench	CodeElo	CodeForces
Accuracy	14.3	59.2	75.6	32.0	40.1	42.3	21.5	10.5	10.2

AIME24

• Average Accuracy: 14.33% ± 1.25%
• Number of Runs: 10

Run	Accuracy	Questions Solved	Total Questions
1	10.00%	3	30
2	16.67%	5	30
3	20.00%	6	30
4	16.67%	5	30
5	16.67%	5	30
6	6.67%	2	30
7	16.67%	5	30
8	16.67%	5	30
9	10.00%	3	30
10	13.33%	4	30

AMC23

• Average Accuracy: 59.25% ± 1.37%
• Number of Runs: 10

Run	Accuracy	Questions Solved	Total Questions
1	50.00%	20	40
2	62.50%	25	40
3	60.00%	24	40
4	67.50%	27	40
5	57.50%	23	40
6	57.50%	23	40
7	57.50%	23	40
8	62.50%	25	40
9	57.50%	23	40
10	60.00%	24	40

MATH500

• Accuracy: 75.60%

  Accuracy	Questions Solved	Total Questions
  75.60%	378	500

MMLUPro

• Average Accuracy: 32.00% ± 0.00%
• Number of Runs: 1

Run	Accuracy	Questions Solved	Total Questions
1	32.00%	160	500

JEEBench

• Average Accuracy: 40.15% ± 0.73%
• Number of Runs: 3

Run	Accuracy	Questions Solved	Total Questions
1	41.89%	215.75	515
2	39.56%	203.75	515
3	38.98%	200.75	515

GPQADiamond

• Average Accuracy: 42.26% ± 1.13%
• Number of Runs: 3

Run	Accuracy	Questions Solved	Total Questions
1	40.40%	80	198
2	44.95%	89	198
3	41.41%	82	198

LiveCodeBench

• Average Accuracy: 21.46% ± 1.20%
• Number of Runs: 3

Run	Accuracy	Questions Solved	Total Questions
1	21.14%	108	511
2	23.68%	121	511
3	19.57%	100	511

CodeElo

• Average Accuracy: 10.49% ± 1.29%
• Number of Runs: 3

Run	Accuracy	Questions Solved	Total Questions
1	12.02%	47	391
2	11.51%	45	391
3	7.93%	31	391

CodeForces

• Average Accuracy: 10.23% ± 1.18%
• Number of Runs: 3

Run	Accuracy	Questions Solved	Total Questions
1	12.58%	57	453
2	8.83%	40	453
3	9.27%	42	453