README.md

mlfoundations-dev/a1_science_camel_physics_eval_636d

Precomputed model outputs for evaluation.

Evaluation Results

Summary

Metric	AIME24	AMC23	MATH500	MMLUPro	JEEBench	GPQADiamond	LiveCodeBench	CodeElo	CodeForces
Accuracy	14.3	56.8	73.0	28.8	37.0	40.7	13.9	5.2	6.6

AIME24

• Average Accuracy: 14.33% ± 1.42%
• Number of Runs: 10

Run	Accuracy	Questions Solved	Total Questions
1	13.33%	4	30
2	13.33%	4	30
3	6.67%	2	30
4	13.33%	4	30
5	13.33%	4	30
6	20.00%	6	30
7	13.33%	4	30
8	16.67%	5	30
9	23.33%	7	30
10	10.00%	3	30

AMC23

• Average Accuracy: 56.75% ± 1.66%
• Number of Runs: 10

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

MATH500

• Accuracy: 73.00%

  Accuracy	Questions Solved	Total Questions
  73.00%	365	500

MMLUPro

• Average Accuracy: 28.80% ± 0.00%
• Number of Runs: 1

Run	Accuracy	Questions Solved	Total Questions
1	28.80%	144	500

JEEBench

• Average Accuracy: 37.04% ± 0.83%
• Number of Runs: 3

Run	Accuracy	Questions Solved	Total Questions
1	38.06%	196.0	515
2	35.00%	180.25	515
3	38.06%	196.0	515

GPQADiamond

• Average Accuracy: 40.74% ± 2.16%
• Number of Runs: 3

Run	Accuracy	Questions Solved	Total Questions
1	41.41%	82	198
2	35.86%	71	198
3	44.95%	89	198

LiveCodeBench

• Average Accuracy: 13.89% ± 0.34%
• Number of Runs: 3

Run	Accuracy	Questions Solved	Total Questions
1	14.48%	74	511
2	13.89%	71	511
3	13.31%	68	511

CodeElo

• Average Accuracy: 5.20% ± 0.60%
• Number of Runs: 3

Run	Accuracy	Questions Solved	Total Questions
1	5.37%	21	391
2	4.09%	16	391
3	6.14%	24	391

CodeForces

• Average Accuracy: 6.62% ± 0.25%
• Number of Runs: 3

Run	Accuracy	Questions Solved	Total Questions
1	6.18%	28	453
2	6.62%	30	453
3	7.06%	32	453