README.md

mlfoundations-dev/a1_code_magicoder_1744693377_eval_1331

Precomputed model outputs for evaluation.

Evaluation Results

Summary

Metric	AIME24	AMC23	MATH500	GPQADiamond	JEEBench	MMLUPro	LiveCodeBench	CodeElo
Accuracy	16.3	56.2	72.0	34.0	39.1	29.8	34.5	9.2

AIME24

• Average Accuracy: 16.33% ± 1.45%
• Number of Runs: 10

Run	Accuracy	Questions Solved	Total Questions
1	20.00%	6	30
2	13.33%	4	30
3	16.67%	5	30
4	20.00%	6	30
5	23.33%	7	30
6	13.33%	4	30
7	20.00%	6	30
8	16.67%	5	30
9	6.67%	2	30
10	13.33%	4	30

AMC23

• Average Accuracy: 56.25% ± 1.67%
• Number of Runs: 10

Run	Accuracy	Questions Solved	Total Questions
1	52.50%	21	40
2	55.00%	22	40
3	50.00%	20	40
4	62.50%	25	40
5	60.00%	24	40
6	55.00%	22	40
7	55.00%	22	40
8	65.00%	26	40
9	47.50%	19	40
10	60.00%	24	40

MATH500

• Accuracy: 72.00%

  Accuracy	Questions Solved	Total Questions
  72.00%	360	500

GPQADiamond

• Average Accuracy: 34.01% ± 1.22%
• Number of Runs: 3

Run	Accuracy	Questions Solved	Total Questions
1	33.33%	66	198
2	36.87%	73	198
3	31.82%	63	198

JEEBench

• Average Accuracy: 39.09% ± 0.12%
• Number of Runs: 3

Run	Accuracy	Questions Solved	Total Questions
1	39.13%	201.5	515
2	38.83%	200.0	515
3	39.32%	202.5	515

MMLUPro

• Average Accuracy: 29.80% ± 0.00%
• Number of Runs: 1

Run	Accuracy	Questions Solved	Total Questions
1	29.80%	149	500

LiveCodeBench

• Average Accuracy: 34.51% ± 0.35%
• Number of Runs: 3

Run	Accuracy	Questions Solved	Total Questions
1	35.03%	179	511
2	34.64%	177	511
3	33.86%	173	511

CodeElo

• Average Accuracy: 9.21% ± 0.53%
• Number of Runs: 3

Run	Accuracy	Questions Solved	Total Questions
1	8.18%	32	391
2	9.46%	37	391
3	9.97%	39	391