# First train DeepSEED

## train & val loss in four epochs

Epoch 000 (lr 0.01000)
Train:      tpr 6.29, tnr 90.87, total pos 1415, total neg 5660, time 294.31
loss 0.2168, classify loss 0.1533, regress loss 0.0147, 0.0155, 0.0143, 0.0190
finsihed epoch 0
Validation: tpr 14.35, tnr 99.99997653, total pos 1415, total neg 136328912, time 131.11
loss 0.0531, classify loss 0.0009, regress loss 0.0122, 0.0125, 0.0113, 0.0163
save model on epoch 0

Epoch 001 (lr 0.00100)
Train:      tpr 26.36, tnr 96.94, total pos 1415, total neg 5660, time 286.83
loss 0.1230, classify loss 0.0736, regress loss 0.0108, 0.0115, 0.0117, 0.0153
finsihed epoch 1
Validation: tpr 26.78, tnr 99.99978882, total pos 1415, total neg 136373520, time 130.74
loss 0.0513, classify loss 0.0008, regress loss 0.0115, 0.0121, 0.0116, 0.0154
save model on epoch 1

Epoch 002 (lr 0.00010)
Train:      tpr 33.50, tnr 96.71, total pos 1415, total neg 5660, time 286.53
loss 0.1186, classify loss 0.0689, regress loss 0.0110, 0.0111, 0.0115, 0.0160
finsihed epoch 2
Validation: tpr 23.89, tnr 99.99991789, total pos 1415, total neg 136407296, time 131.04
loss 0.0528, classify loss 0.0007, regress loss 0.0123, 0.0121, 0.0123, 0.0153

Epoch 003 (lr 0.00010)
Train:      tpr 33.00, tnr 96.98, total pos 1415, total neg 5660, time 287.09
loss 0.1163, classify loss 0.0684, regress loss 0.0108, 0.0114, 0.0104, 0.0153
finsihed epoch 3
Validation: tpr 24.59, tnr 99.99995307, total pos 1415, total neg 136359136, time 130.86
loss 0.0511, classify loss 0.0007, regress loss 0.0118, 0.0118, 0.0116, 0.0153
save model on epoch 3