Multi-class classification on CIFAR-100 (test)
89.63Accuracy
UNCALIBRATED
Updated 1mo ago
Evaluation Results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
2025.12 | 89.63 | 6.36 | 0.448 | 0.16 | 0.0017 | 7.14 | |
2025.12 | 89.63 | 2.96 | 0.396 | 0.122 | 0.0016 | 5.89 | |
2025.12 | 89.59 | 3.67 | 0.439 | 0.137 | 0.0016 | 6.57 | |
2025.12 | 89.57 | 1.68 | 0.368 | 0.121 | 0.0015 | 4.52 | |
2025.12 | 89.56 | 2.84 | 0.379 | 0.119 | 0.0015 | 4.8 | |
2025.12 | 89.55 | 3.86 | 1.234 | 0.134 | 0.0016 | 5 | |
2025.12 | 89.43 | 1.09 | 0.43 | 0.118 | 0.0015 | 4.39 | |
2025.12 | 88.75 | 5.36 | 0.537 | 0.163 | 0.0018 | 6.62 | |
2025.12 | 87.2 | 0.88 | 0.4698 | 0.13 | 0.0019 | 4.91 | |
2025.12 | 87.19 | 3.28 | 0.4208 | 0.15 | 0.0019 | 5.67 | |
2025.12 | 87.19 | 0.84 | 0.4116 | 0.14 | 0.0018 | 4.61 | |
2025.12 | 87.19 | 1.33 | 0.4121 | 0.14 | 0.0018 | 5.22 | |
2025.12 | 87.19 | 1.08 | 0.4112 | 0.14 | 0.0018 | 4.71 | |
2025.12 | 86.89 | 1.75 | 0.4347 | 0.16 | 0.0019 | 5.59 | |
2025.12 | 86.49 | 3.3 | 1.3629 | 0.16 | 0.002 | 6.54 | |
2025.12 | 83.08 | 7.1 | 0.6514 | 0.22 | 0.0025 | 7.86 | |
2025.12 | 77.35 | 5.38 | 0.977 | 0.21 | 0.0033 | 4.48 | |
2025.12 | 77.35 | 7.08 | 1.047 | 0.22 | 0.0034 | 7.14 | |
2025.12 | 77.28 | 5.36 | 1.048 | 0.22 | 0.0034 | 7.02 | |
2025.12 | 77.27 | 19.05 | 1.792 | 0.41 | 0.0041 | 16.61 | |
2025.12 | 77.27 | 5.04 | 1.045 | 0.21 | 0.0034 | 7.17 | |
2025.12 | 77.11 | 7.36 | 1.539 | 0.21 | 0.0034 | 5.87 | |
2025.12 | 77 | 1.27 | 0.995 | 0.2 | 0.0032 | 4 | |
2025.12 | 75.84 | 4.83 | 1.169 | 0.219 | 0.0036 | 6.07 | |
2025.12 | 75.51 | 4.91 | 1.112 | 0.229 | 0.0036 | 4.12 | |
2025.12 | 75.51 | 7.56 | 1.194 | 0.238 | 0.0037 | 7.06 | |
2025.12 | 75.48 | 20.98 | 2.056 | 0.45 | 0.0045 | 17.08 | |
2025.12 | 75.48 | 5.06 | 1.19 | 0.236 | 0.0037 | 7.14 | |
2025.12 | 75.28 | 7.96 | 1.718 | 0.218 | 0.0037 | 5.27 | |
2025.12 | 75.2 | 1.57 | 1.204 | 0.221 | 0.0035 | 3.62 | |
2025.12 | 73.88 | 12.91 | 1.843 | 0.34 | 0.0041 | 7.95 | |
2025.12 | 71.79 | 13.87 | 1.86 | 0.361 | 0.0043 | 8.09 |