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SE predicted by accuracy

The typical standard errors between pairs of models on this dataset as a function of the absolute accuracy.

SE vs accuracy difference

The standard error of each model pair against their observed accuracy difference. Pairs below a reference line differ by more than the corresponding number of standard errors, i.e. they are statistically distinguishable at that level.

CDF of question level accuracy

Results table by model

model pass1 pass@count win_rate count SE(A) SE_x(A) SE_pred(A)
deepseek-coder-33b 66.5 66.5 30.4 1 0.36 NaN NaN
deepseek-coder-6.7b 60.9 60.9 25.7 1 0.37 NaN NaN
wizardcoder-33b 58.4 58.4 25.2 1 0.37 NaN NaN
codellama-13b 50 50 18.5 1 0.38 NaN NaN
starcoderbase-16b 50 50 17.6 1 0.38 NaN NaN
gpt-4-1106-preview 49.2 49.2 22.6 1 0.38 NaN NaN
deepseek-coder-1.3b 48.3 48.3 17 1 0.38 NaN NaN
wizardcoder-15b 47.6 47.6 16.3 1 0.38 NaN NaN
codellama-34b 46.9 46.9 16.6 1 0.38 NaN NaN
codellama-7b 44.7 44.7 15.6 1 0.38 NaN NaN
mixtral-8x7b 42.7 42.7 14.2 1 0.37 NaN NaN
wizardcoder-3b 41.1 41.1 12.6 1 0.37 NaN NaN
gpt-3.5-turbo-0301 35.1 35.1 13.2 1 0.36 NaN NaN
wizardcoder-1b 34.7 34.7 9.37 1 0.36 NaN NaN
codegen-16b 31.2 31.2 7.36 1 0.35 NaN NaN
phi-2 29.5 29.5 6.83 1 0.35 NaN NaN
codegen-6b 29.5 29.5 6.71 1 0.35 NaN NaN
codegen-2b 28.6 28.6 6.31 1 0.34 NaN NaN
incoder-6b 27.3 27.3 7.68 1 0.34 NaN NaN
phi-1.5 24.8 24.8 5.18 1 0.33 NaN NaN
incoder-1b 22.6 22.6 6.1 1 0.32 NaN NaN
codegen-350m 21.5 21.5 4.35 1 0.31 NaN NaN