README.md

mlfoundations-dev/reasoning_12_chat_eval_636d

Precomputed model outputs for evaluation.

Evaluation Results

Summary

Metric	AIME24	AMC23	MATH500	MMLUPro	JEEBench	GPQADiamond	LiveCodeBench	CodeElo	CodeForces
Accuracy	31.3	69.0	83.8	22.6	47.5	14.8	36.1	10.3	14.5

AIME24

• Average Accuracy: 31.33% ± 1.26%
• Number of Runs: 10

Run	Accuracy	Questions Solved	Total Questions
1	26.67%	8	30
2	30.00%	9	30
3	36.67%	11	30
4	23.33%	7	30
5	30.00%	9	30
6	30.00%	9	30
7	36.67%	11	30
8	33.33%	10	30
9	33.33%	10	30
10	33.33%	10	30

AMC23

• Average Accuracy: 69.00% ± 2.07%
• Number of Runs: 10

Run	Accuracy	Questions Solved	Total Questions
1	67.50%	27	40
2	62.50%	25	40
3	60.00%	24	40
4	70.00%	28	40
5	82.50%	33	40
6	67.50%	27	40
7	77.50%	31	40
8	70.00%	28	40
9	62.50%	25	40
10	70.00%	28	40

MATH500

• Accuracy: 83.80%

  Accuracy	Questions Solved	Total Questions
  83.80%	419	500

MMLUPro

• Average Accuracy: 22.60% ± 0.00%
• Number of Runs: 1

Run	Accuracy	Questions Solved	Total Questions
1	22.60%	113	500

JEEBench

• Average Accuracy: 47.52% ± 0.37%
• Number of Runs: 3

Run	Accuracy	Questions Solved	Total Questions
1	47.43%	244.25	515
2	48.35%	249.0	515
3	46.80%	241.0	515

GPQADiamond

• Average Accuracy: 14.81% ± 1.31%
• Number of Runs: 3

Run	Accuracy	Questions Solved	Total Questions
1	11.62%	23	198
2	16.67%	33	198
3	16.16%	32	198

LiveCodeBench

• Average Accuracy: 36.07% ± 0.56%
• Number of Runs: 3

Run	Accuracy	Questions Solved	Total Questions
1	35.62%	182	511
2	35.42%	181	511
3	37.18%	190	511

CodeElo

• Average Accuracy: 10.32% ± 0.73%
• Number of Runs: 3

Run	Accuracy	Questions Solved	Total Questions
1	9.72%	38	391
2	11.76%	46	391
3	9.46%	37	391

CodeForces

• Average Accuracy: 14.50% ± 0.19%
• Number of Runs: 3

Run	Accuracy	Questions Solved	Total Questions
1	14.13%	64	453
2	14.79%	67	453
3	14.57%	66	453