DTI:
Start Training... -------- Epoch 1 -------- epoch: 1/ iteration: 1/ loss_train: 0.7071912 epoch: 0001 loss_train: 0.5396 auroc_train: 0.6992 loss_val: 0.5246 auroc_val: 0.8136 auprc_val: 0.8589 f1_val: 0.6759 time: 4.9916s -------- Epoch 2 -------- epoch: 2/ iteration: 1/ loss_train: 0.5688742 epoch: 0002 loss_train: 0.4591 auroc_train: 0.8267 loss_val: 0.5138 auroc_val: 0.8181 auprc_val: 0.8606 f1_val: 0.6981 time: 3.5070s -------- Epoch 3 -------- epoch: 3/ iteration: 1/ loss_train: 0.43503913 epoch: 0003 loss_train: 0.4831 auroc_train: 0.8773 loss_val: 0.5606 auroc_val: 0.8137 auprc_val: 0.8587 f1_val: 0.7240 time: 3.7158s -------- Epoch 4 -------- epoch: 4/ iteration: 1/ loss_train: 0.3954357 epoch: 0004 loss_train: 0.4212 auroc_train: 0.9019 loss_val: 0.5908 auroc_val: 0.8181 auprc_val: 0.8604 f1_val: 0.7392 time: 3.7429s -------- Epoch 5 -------- epoch: 5/ iteration: 1/ loss_train: 0.3432781 epoch: 0005 loss_train: 0.3145 auroc_train: 0.9196 loss_val: 0.4807 auroc_val: 0.8271 auprc_val: 0.8683 f1_val: 0.7524 time: 3.7500s -------- Epoch 6 -------- epoch: 6/ iteration: 1/ loss_train: 0.3968746 epoch: 0006 loss_train: 0.4187 auroc_train: 0.9292 loss_val: 0.5650 auroc_val: 0.8301 auprc_val: 0.8717 f1_val: 0.7595 time: 3.7894s -------- Epoch 7 -------- epoch: 7/ iteration: 1/ loss_train: 0.32939526 epoch: 0007 loss_train: 0.3249 auroc_train: 0.9398 loss_val: 0.6501 auroc_val: 0.8374 auprc_val: 0.8745 f1_val: 0.7656 time: 3.6854s -------- Epoch 8 -------- epoch: 8/ iteration: 1/ loss_train: 0.25991106 epoch: 0008 loss_train: 0.3465 auroc_train: 0.9457 loss_val: 0.4982 auroc_val: 0.8374 auprc_val: 0.8737 f1_val: 0.7742 time: 3.7841s -------- Epoch 9 -------- epoch: 9/ iteration: 1/ loss_train: 0.2967611 epoch: 0009 loss_train: 0.3035 auroc_train: 0.9529 loss_val: 0.5758 auroc_val: 0.8438 auprc_val: 0.8768 f1_val: 0.7774 time: 3.8720s -------- Epoch 10 -------- epoch: 10/ iteration: 1/ loss_train: 0.22229826 epoch: 0010 loss_train: 0.2503 auroc_train: 0.9577 loss_val: 0.6072 auroc_val: 0.8499 auprc_val: 0.8827 f1_val: 0.7850 time: 3.8917s -------- Epoch 11 -------- epoch: 11/ iteration: 1/ loss_train: 0.22291428 epoch: 0011 loss_train: 0.2428 auroc_train: 0.9599 loss_val: 0.5832 auroc_val: 0.8461 auprc_val: 0.8763 f1_val: 0.7692 time: 3.7536s -------- Epoch 12 -------- epoch: 12/ iteration: 1/ loss_train: 0.31643277 epoch: 0012 loss_train: 0.2041 auroc_train: 0.9634 loss_val: 0.7070 auroc_val: 0.8473 auprc_val: 0.8781 f1_val: 0.7761 time: 3.8375s -------- Epoch 13 -------- epoch: 13/ iteration: 1/ loss_train: 0.20014781 epoch: 0013 loss_train: 0.2611 auroc_train: 0.9652 loss_val: 0.5149 auroc_val: 0.8542 auprc_val: 0.8818 f1_val: 0.7812 time: 3.8107s -------- Epoch 14 -------- epoch: 14/ iteration: 1/ loss_train: 0.24990633 epoch: 0014 loss_train: 0.2951 auroc_train: 0.9655 loss_val: 0.4956 auroc_val: 0.8524 auprc_val: 0.8782 f1_val: 0.7803 time: 3.7201s -------- Epoch 15 -------- epoch: 15/ iteration: 1/ loss_train: 0.21212883 epoch: 0015 loss_train: 0.2385 auroc_train: 0.9698 loss_val: 0.6095 auroc_val: 0.8587 auprc_val: 0.8854 f1_val: 0.7901 time: 3.8474s Optimization Finished! Total time elapsed: 57.7287s
DDI: Start Training... -------- Epoch 1 -------- epoch: 1/ iteration: 1/ loss_train: 0.69456005 epoch: 1/ iteration: 101/ loss_train: 0.5595627 epoch: 1/ iteration: 201/ loss_train: 0.5339254 epoch: 0001 loss_train: 0.5437 auroc_train: 0.7741 loss_val: 0.4421 auroc_val: 0.8865 auprc_val: 0.8828 f1_val: 0.7829 time: 4.9169s -------- Epoch 2 -------- epoch: 2/ iteration: 1/ loss_train: 0.4843155 epoch: 2/ iteration: 101/ loss_train: 0.41215777 epoch: 2/ iteration: 201/ loss_train: 0.41692805 epoch: 0002 loss_train: 0.4270 auroc_train: 0.8676 loss_val: 0.4038 auroc_val: 0.9126 auprc_val: 0.9099 f1_val: 0.8214 time: 4.6811s -------- Epoch 3 -------- epoch: 3/ iteration: 1/ loss_train: 0.42157912 epoch: 3/ iteration: 101/ loss_train: 0.43134767 epoch: 3/ iteration: 201/ loss_train: 0.42221457 epoch: 0003 loss_train: 0.3469 auroc_train: 0.8933 loss_val: 0.3062 auroc_val: 0.9279 auprc_val: 0.9261 f1_val: 0.8366 time: 5.0998s -------- Epoch 4 -------- epoch: 4/ iteration: 1/ loss_train: 0.4693362 epoch: 4/ iteration: 101/ loss_train: 0.38243276 epoch: 4/ iteration: 201/ loss_train: 0.29128182 epoch: 0004 loss_train: 0.4084 auroc_train: 0.9056 loss_val: 0.3619 auroc_val: 0.9335 auprc_val: 0.9309 f1_val: 0.8412 time: 6.7726s -------- Epoch 5 -------- epoch: 5/ iteration: 1/ loss_train: 0.38466617 epoch: 5/ iteration: 101/ loss_train: 0.3701468 epoch: 5/ iteration: 201/ loss_train: 0.36441258 epoch: 0005 loss_train: 0.3663 auroc_train: 0.9127 loss_val: 0.2992 auroc_val: 0.9372 auprc_val: 0.9339 f1_val: 0.8499 time: 5.8771s -------- Epoch 6 -------- epoch: 6/ iteration: 1/ loss_train: 0.31224746 epoch: 6/ iteration: 101/ loss_train: 0.3744184 epoch: 6/ iteration: 201/ loss_train: 0.36197764 epoch: 0006 loss_train: 0.4340 auroc_train: 0.9169 loss_val: 0.3262 auroc_val: 0.9383 auprc_val: 0.9345 f1_val: 0.8608 time: 5.5806s -------- Epoch 7 -------- epoch: 7/ iteration: 1/ loss_train: 0.40956548 epoch: 7/ iteration: 101/ loss_train: 0.33255598 epoch: 7/ iteration: 201/ loss_train: 0.3483358 epoch: 0007 loss_train: 0.3603 auroc_train: 0.9191 loss_val: 0.2654 auroc_val: 0.9391 auprc_val: 0.9358 f1_val: 0.8526 time: 4.9609s -------- Epoch 8 -------- epoch: 8/ iteration: 1/ loss_train: 0.34042108 epoch: 8/ iteration: 101/ loss_train: 0.34912732 epoch: 8/ iteration: 201/ loss_train: 0.3751415 epoch: 0008 loss_train: 0.3732 auroc_train: 0.9201 loss_val: 0.3399 auroc_val: 0.9388 auprc_val: 0.9351 f1_val: 0.8530 time: 5.5383s -------- Epoch 9 -------- epoch: 9/ iteration: 1/ loss_train: 0.2997275 epoch: 9/ iteration: 101/ loss_train: 0.39016965 epoch: 9/ iteration: 201/ loss_train: 0.38729644 epoch: 0009 loss_train: 0.3380 auroc_train: 0.9211 loss_val: 0.3177 auroc_val: 0.9394 auprc_val: 0.9356 f1_val: 0.8529 time: 5.1838s -------- Epoch 10 -------- epoch: 10/ iteration: 1/ loss_train: 0.36783433 epoch: 10/ iteration: 101/ loss_train: 0.36056006 epoch: 10/ iteration: 201/ loss_train: 0.4064026 epoch: 0010 loss_train: 0.4089 auroc_train: 0.9230 loss_val: 0.2718 auroc_val: 0.9404 auprc_val: 0.9359 f1_val: 0.8593 time: 5.8430s -------- Epoch 11 -------- epoch: 11/ iteration: 1/ loss_train: 0.3592983 epoch: 11/ iteration: 101/ loss_train: 0.3656996 epoch: 11/ iteration: 201/ loss_train: 0.36937743 epoch: 0011 loss_train: 0.3184 auroc_train: 0.9228 loss_val: 0.3547 auroc_val: 0.9398 auprc_val: 0.9354 f1_val: 0.8580 time: 5.7184s -------- Epoch 12 -------- epoch: 12/ iteration: 1/ loss_train: 0.3383201 epoch: 12/ iteration: 101/ loss_train: 0.33198404 epoch: 12/ iteration: 201/ loss_train: 0.37787426 epoch: 0012 loss_train: 0.2839 auroc_train: 0.9230 loss_val: 0.3219 auroc_val: 0.9411 auprc_val: 0.9366 f1_val: 0.8567 time: 6.0126s -------- Epoch 13 -------- epoch: 13/ iteration: 1/ loss_train: 0.3213191 epoch: 13/ iteration: 101/ loss_train: 0.30076736 epoch: 13/ iteration: 201/ loss_train: 0.32180414 epoch: 0013 loss_train: 0.3338 auroc_train: 0.9244 loss_val: 0.2660 auroc_val: 0.9404 auprc_val: 0.9369 f1_val: 0.8555 time: 5.6347s -------- Epoch 14 -------- epoch: 14/ iteration: 1/ loss_train: 0.34357357 epoch: 14/ iteration: 101/ loss_train: 0.36345378 epoch: 14/ iteration: 201/ loss_train: 0.38140205 epoch: 0014 loss_train: 0.2929 auroc_train: 0.9239 loss_val: 0.3242 auroc_val: 0.9412 auprc_val: 0.9379 f1_val: 0.8588 time: 5.0318s -------- Epoch 15 -------- epoch: 15/ iteration: 1/ loss_train: 0.43365863 epoch: 15/ iteration: 101/ loss_train: 0.37245178 epoch: 15/ iteration: 201/ loss_train: 0.39401883 epoch: 0015 loss_train: 0.4020 auroc_train: 0.9236 loss_val: 0.3398 auroc_val: 0.9405 auprc_val: 0.9372 f1_val: 0.8598 time: 4.8210s Optimization Finished! Total time elapsed: 81.6922s loss_test: 0.3490 auroc_test: 0.9360 auprc_test: 0.9317 f1_test: 0.8510
PPI: Start Training... -------- Epoch 1 -------- epoch: 1/ iteration: 1/ loss_train: 0.6906911 epoch: 1/ iteration: 101/ loss_train: 0.44321698 epoch: 0001 loss_train: 0.4423 auroc_train: 0.7903 loss_val: 0.4226 auroc_val: 0.8739 auprc_val: 0.8983 f1_val: 0.7810 time: 4.9220s -------- Epoch 2 -------- epoch: 2/ iteration: 1/ loss_train: 0.46180248 epoch: 2/ iteration: 101/ loss_train: 0.40403664 epoch: 0002 loss_train: 0.4003 auroc_train: 0.8908 loss_val: 0.4404 auroc_val: 0.8786 auprc_val: 0.9024 f1_val: 0.8036 time: 3.4469s -------- Epoch 3 -------- epoch: 3/ iteration: 1/ loss_train: 0.38904357 epoch: 3/ iteration: 101/ loss_train: 0.4386134 epoch: 0003 loss_train: 0.3732 auroc_train: 0.9101 loss_val: 0.4847 auroc_val: 0.8774 auprc_val: 0.9011 f1_val: 0.8153 time: 3.4922s -------- Epoch 4 -------- epoch: 4/ iteration: 1/ loss_train: 0.38736302 epoch: 4/ iteration: 101/ loss_train: 0.42785668 epoch: 0004 loss_train: 0.3101 auroc_train: 0.9188 loss_val: 0.4763 auroc_val: 0.8750 auprc_val: 0.8990 f1_val: 0.8116 time: 3.4257s -------- Epoch 5 -------- epoch: 5/ iteration: 1/ loss_train: 0.3609139 epoch: 5/ iteration: 101/ loss_train: 0.37687907 epoch: 0005 loss_train: 0.3669 auroc_train: 0.9261 loss_val: 0.4973 auroc_val: 0.8757 auprc_val: 0.8981 f1_val: 0.8073 time: 3.3914s -------- Epoch 6 -------- epoch: 6/ iteration: 1/ loss_train: 0.30415606 epoch: 6/ iteration: 101/ loss_train: 0.37831092 epoch: 0006 loss_train: 0.3618 auroc_train: 0.9302 loss_val: 0.4358 auroc_val: 0.8770 auprc_val: 0.8988 f1_val: 0.8134 time: 3.3620s -------- Epoch 7 -------- epoch: 7/ iteration: 1/ loss_train: 0.32712454 epoch: 7/ iteration: 101/ loss_train: 0.29715276 epoch: 0007 loss_train: 0.3632 auroc_train: 0.9324 loss_val: 0.4638 auroc_val: 0.8771 auprc_val: 0.8981 f1_val: 0.8150 time: 3.3232s -------- Epoch 8 -------- epoch: 8/ iteration: 1/ loss_train: 0.35029113 epoch: 8/ iteration: 101/ loss_train: 0.32637078 epoch: 0008 loss_train: 0.3024 auroc_train: 0.9330 loss_val: 0.6537 auroc_val: 0.8749 auprc_val: 0.8956 f1_val: 0.8072 time: 3.7234s -------- Epoch 9 -------- epoch: 9/ iteration: 1/ loss_train: 0.41251552 epoch: 9/ iteration: 101/ loss_train: 0.33382976 epoch: 0009 loss_train: 0.3245 auroc_train: 0.9343 loss_val: 0.4725 auroc_val: 0.8743 auprc_val: 0.8943 f1_val: 0.8132 time: 4.1450s -------- Epoch 10 -------- epoch: 10/ iteration: 1/ loss_train: 0.28296244 epoch: 10/ iteration: 101/ loss_train: 0.3666491 epoch: 0010 loss_train: 0.3377 auroc_train: 0.9368 loss_val: 0.5358 auroc_val: 0.8774 auprc_val: 0.8966 f1_val: 0.8185 time: 4.0576s -------- Epoch 11 -------- epoch: 11/ iteration: 1/ loss_train: 0.28032297 epoch: 11/ iteration: 101/ loss_train: 0.3366409 epoch: 0011 loss_train: 0.3941 auroc_train: 0.9365 loss_val: 0.4777 auroc_val: 0.8766 auprc_val: 0.8958 f1_val: 0.8133 time: 3.9661s -------- Epoch 12 -------- epoch: 12/ iteration: 1/ loss_train: 0.25225934 epoch: 12/ iteration: 101/ loss_train: 0.2554849 epoch: 0012 loss_train: 0.2809 auroc_train: 0.9392 loss_val: 0.4847 auroc_val: 0.8772 auprc_val: 0.8966 f1_val: 0.8116 time: 3.8374s -------- Epoch 13 -------- epoch: 13/ iteration: 1/ loss_train: 0.28667825 epoch: 13/ iteration: 101/ loss_train: 0.3416885 epoch: 0013 loss_train: 0.4079 auroc_train: 0.9394 loss_val: 0.4916 auroc_val: 0.8771 auprc_val: 0.8957 f1_val: 0.8179 time: 3.5112s -------- Epoch 14 -------- epoch: 14/ iteration: 1/ loss_train: 0.27395964 epoch: 14/ iteration: 101/ loss_train: 0.33738852 epoch: 0014 loss_train: 0.3895 auroc_train: 0.9386 loss_val: 0.4257 auroc_val: 0.8795 auprc_val: 0.8974 f1_val: 0.8178 time: 3.3635s -------- Epoch 15 -------- epoch: 15/ iteration: 1/ loss_train: 0.3067059 epoch: 15/ iteration: 101/ loss_train: 0.31520143 epoch: 0015 loss_train: 0.3315 auroc_train: 0.9404 loss_val: 0.5970 auroc_val: 0.8787 auprc_val: 0.8967 f1_val: 0.8133 time: 3.5842s Optimization Finished! Total time elapsed: 55.5752s loss_test: 0.3943 auroc_test: 0.8860 auprc_test: 0.9010 f1_test: 0.8162
GDI: Start Training... -------- Epoch 1 -------- epoch: 1/ iteration: 1/ loss_train: 0.71268296 epoch: 1/ iteration: 101/ loss_train: 0.4701227 epoch: 1/ iteration: 201/ loss_train: 0.4209051 epoch: 1/ iteration: 301/ loss_train: 0.33800033 epoch: 1/ iteration: 401/ loss_train: 0.3461216 epoch: 0001 loss_train: 0.3596 auroc_train: 0.8710 loss_val: 0.3821 auroc_val: 0.9079 auprc_val: 0.9251 f1_val: 0.8420 time: 76.3812s -------- Epoch 2 -------- epoch: 2/ iteration: 1/ loss_train: 0.2990966 epoch: 2/ iteration: 101/ loss_train: 0.36153176 epoch: 2/ iteration: 201/ loss_train: 0.32927227 epoch: 2/ iteration: 301/ loss_train: 0.3435245 epoch: 2/ iteration: 401/ loss_train: 0.35011056 epoch: 0002 loss_train: 0.3225 auroc_train: 0.9230 loss_val: 0.3213 auroc_val: 0.9123 auprc_val: 0.9272 f1_val: 0.8450 time: 76.0702s -------- Epoch 3 -------- epoch: 3/ iteration: 1/ loss_train: 0.34012014 epoch: 3/ iteration: 101/ loss_train: 0.39243817 epoch: 3/ iteration: 201/ loss_train: 0.30677372 epoch: 3/ iteration: 301/ loss_train: 0.34079328 epoch: 3/ iteration: 401/ loss_train: 0.333566 epoch: 0003 loss_train: 0.3581 auroc_train: 0.9352 loss_val: 0.4238 auroc_val: 0.9121 auprc_val: 0.9264 f1_val: 0.8417 time: 76.4427s -------- Epoch 4 -------- epoch: 4/ iteration: 1/ loss_train: 0.33379006 epoch: 4/ iteration: 101/ loss_train: 0.28492394 epoch: 4/ iteration: 201/ loss_train: 0.34283584 epoch: 4/ iteration: 301/ loss_train: 0.34068727 epoch: 4/ iteration: 401/ loss_train: 0.40731087 epoch: 0004 loss_train: 0.3686 auroc_train: 0.9401 loss_val: 0.3669 auroc_val: 0.9118 auprc_val: 0.9256 f1_val: 0.8430 time: 75.8842s -------- Epoch 5 -------- epoch: 5/ iteration: 1/ loss_train: 0.33806914 epoch: 5/ iteration: 101/ loss_train: 0.34555435 epoch: 5/ iteration: 201/ loss_train: 0.31746677 epoch: 5/ iteration: 301/ loss_train: 0.34522414 epoch: 5/ iteration: 401/ loss_train: 0.3650464 epoch: 0005 loss_train: 0.3124 auroc_train: 0.9427 loss_val: 0.3878 auroc_val: 0.9113 auprc_val: 0.9253 f1_val: 0.8468 time: 75.9613s Optimization Finished! Total time elapsed: 380.7556s loss_test: 0.3291 auroc_test: 0.9131 auprc_test: 0.9280 f1_test: 0.8436