README.md

mlfoundations-dev/reasoning_0_chat_eval_636d

Precomputed model outputs for evaluation.

Evaluation Results

Summary

Metric	AIME24	AMC23	MATH500	MMLUPro	JEEBench	GPQADiamond	LiveCodeBench	CodeElo	CodeForces
Accuracy	28.0	69.0	82.6	27.4	51.3	39.9	37.2	9.7	15.5

AIME24

• Average Accuracy: 28.00% ± 1.26%
• Number of Runs: 10

Run	Accuracy	Questions Solved	Total Questions
1	26.67%	8	30
2	20.00%	6	30
3	33.33%	10	30
4	26.67%	8	30
5	26.67%	8	30
6	23.33%	7	30
7	30.00%	9	30
8	30.00%	9	30
9	33.33%	10	30
10	30.00%	9	30

AMC23

• Average Accuracy: 69.00% ± 1.38%
• Number of Runs: 10

Run	Accuracy	Questions Solved	Total Questions
1	65.00%	26	40
2	72.50%	29	40
3	62.50%	25	40
4	65.00%	26	40
5	70.00%	28	40
6	75.00%	30	40
7	72.50%	29	40
8	75.00%	30	40
9	67.50%	27	40
10	65.00%	26	40

MATH500

• Accuracy: 82.60%

  Accuracy	Questions Solved	Total Questions
  82.60%	413	500

MMLUPro

• Average Accuracy: 27.40% ± 0.00%
• Number of Runs: 1

Run	Accuracy	Questions Solved	Total Questions
1	27.40%	137	500

JEEBench

• Average Accuracy: 51.31% ± 0.57%
• Number of Runs: 3

Run	Accuracy	Questions Solved	Total Questions
1	51.21%	263.75	515
2	52.57%	270.75	515
3	50.15%	258.25	515

GPQADiamond

• Average Accuracy: 39.90% ± 2.27%
• Number of Runs: 3

Run	Accuracy	Questions Solved	Total Questions
1	35.35%	70	198
2	39.39%	78	198
3	44.95%	89	198

LiveCodeBench

• Average Accuracy: 37.25% ± 0.96%
• Number of Runs: 3

Run	Accuracy	Questions Solved	Total Questions
1	36.59%	187	511
2	39.14%	200	511
3	36.01%	184	511

CodeElo

• Average Accuracy: 9.72% ± 0.30%
• Number of Runs: 3

Run	Accuracy	Questions Solved	Total Questions
1	9.21%	36	391
2	10.23%	40	391
3	9.72%	38	391

CodeForces

• Average Accuracy: 15.45% ± 0.22%
• Number of Runs: 3

Run	Accuracy	Questions Solved	Total Questions
1	15.89%	72	453
2	15.23%	69	453
3	15.23%	69	453