Table 5.
Summary of training statistics
Subdataset | Time (s/epoch) | Memory (MiB) | Convergence (epoch) |
---|---|---|---|
NR-AR | 121.7 | 6551 | 15 |
NR-AR-LBD | 12.9 | 6459 | 19 |
NR-ER | 36.0 | 2763 | 17 |
NR-ER-LBD | 37.7 | 2309 | 25 |
NR-AhR | 13.3 | 1475 | 33 |
NR-Aromatase | 15.2 | 6317 | 20 |
NR-PPAR- γ | 2.7 | 4413 | 23 |
SR-ARE | 16.7 | 1615 | 18 |
SR-ATAD5 | 74.7 | 4581 | 21 |
SR-HSE | 49.0 | 3047 | 15 |
SR-MMP | 40.3 | 3427 | 9 |
SR-p53 | 8.3 | 1211 | 11 |
The computation time is measured with a GPU server with NVIDIA Tesla P100 SXM2 16GB