Modular Addition on Modular Addition Angular Embedding (test)
0.999Match Accuracyauxiliary modulus Kq
Evaluation Results
| Method | Links | |
|---|---|---|
| auxiliary modulus KqN=16, q=97, Training samples=1M2026.05 | 0.999 | |
| auxiliary modulus KqN=32, q=97, Training samples=1M2026.05 | 0.996 | |
| auxiliary modulus KqN=16, q=257, Training samples=1M2026.05 | 0.994 | |
| auxiliary modulus KqN=16, q=97, Training samples=100K2026.05 | 0.989 | |
| auxiliary modulus KqN=16, q=433, Training samples=1M2026.05 | 0.985 | |
| auxiliary modulus KqN=64, q=97, Training samples=1M2026.05 | 0.974 | |
| auxiliary modulus KqN=32, q=97, Training samples=100K2026.05 | 0.956 | |
| auxiliary modulus KqN=16, q=257, Training samples=100K2026.05 | 0.93 | |
| BaselineN=16, q=97, Training samples=1M2026.05 | 0.926 | |
| auxiliary modulus KqN=32, q=433, Training samples=1M2026.05 | 0.922 | |
| auxiliary modulus KqN=32, q=257, Training samples=1M2026.05 | 0.885 | |
| auxiliary modulus KqN=64, q=97, Training samples=100K2026.05 | 0.832 | |
| BaselineN=32, q=97, Training samples=1M2026.05 | 0.811 | |
| auxiliary modulus KqN=64, q=257, Training samples=1M2026.05 | 0.811 | |
| auxiliary modulus KqN=16, q=433, Training samples=100K2026.05 | 0.807 | |
| auxiliary modulus KqN=32, q=257, Training samples=100K2026.05 | 0.735 | |
| BaselineN=16, q=257, Training samples=1M2026.05 | 0.638 | |
| BaselineN=64, q=97, Training samples=1M2026.05 | 0.587 | |
| auxiliary modulus KqN=32, q=433, Training samples=100K2026.05 | 0.575 | |
| auxiliary modulus KqN=64, q=433, Training samples=1M2026.05 | 0.538 | |
| BaselineN=16, q=433, Training samples=1M2026.05 | 0.457 | |
| BaselineN=32, q=257, Training samples=1M2026.05 | 0.449 | |
| auxiliary modulus KqN=64, q=257, Training samples=100K2026.05 | 0.432 | |
| BaselineN=16, q=97, Training samples=100K2026.05 | 0.322 | |
| auxiliary modulus KqN=64, q=433, Training samples=100K2026.05 | 0.29 | |
| BaselineN=32, q=433, Training samples=1M2026.05 | 0.277 | |
| BaselineN=64, q=257, Training samples=1M2026.05 | 0.234 | |
| BaselineN=16, q=257, Training samples=100K2026.05 | 0.118 | |
| BaselineN=64, q=433, Training samples=1M2026.05 | 0.114 | |
| BaselineN=16, q=433, Training samples=100K2026.05 | 0.068 | |
| BaselineN=32, q=97, Training samples=100K2026.05 | 0.042 | |
| BaselineN=32, q=433, Training samples=100K2026.05 | 0.009 | |
| BaselineN=64, q=97, Training samples=100K2026.05 | 0.009 | |
| BaselineN=32, q=257, Training samples=100K2026.05 | 0.006 | |
| BaselineN=64, q=257, Training samples=100K2026.05 | 0.003 | |
| BaselineN=64, q=433, Training samples=100K2026.05 | 0.002 |