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Timestamps visible
2023-03-31 16:25:22
Epoch 71:  83%|█████████████████▌   | 10/12 [00:07<00:01,  1.28it/s, loss=0.504, v_num=avj3, train_loss_step=0.520, train_acc_step=1.000, val_loss=1.170, val_acc=0.591, train_loss_epoch=0.513, train_acc_epoch=0.937]
2023-03-31 16:25:48
Epoch 73:  92%|███████████████████▎ | 11/12 [00:11<00:01,  1.06s/it, loss=0.503, v_num=avj3, train_loss_step=0.684, train_acc_step=0.867, val_loss=0.986, val_acc=0.727, train_loss_epoch=0.503, train_acc_epoch=0.962]
2023-03-31 16:25:36
Validation DataLoader 0:   0%|                                                                                                                                                                   | 0/2 [00:00<?, ?it/s]
2023-03-31 16:26:11
Epoch 75:  92%|███████████████████▎ | 11/12 [00:10<00:00,  1.09it/s, loss=0.479, v_num=avj3, train_loss_step=0.601, train_acc_step=0.933, val_loss=1.060, val_acc=0.773, train_loss_epoch=0.487, train_acc_epoch=0.956]
2023-03-31 16:26:39
Epoch 78:  83%|█████████████████▌   | 10/12 [00:07<00:01,  1.29it/s, loss=0.479, v_num=avj3, train_loss_step=0.468, train_acc_step=1.000, val_loss=1.060, val_acc=0.545, train_loss_epoch=0.471, train_acc_epoch=0.969]
2023-03-31 16:26:49
Epoch 79:  83%|█████████████████▌   | 10/12 [00:08<00:01,  1.24it/s, loss=0.471, v_num=avj3, train_loss_step=0.738, train_acc_step=0.800, val_loss=0.990, val_acc=0.727, train_loss_epoch=0.487, train_acc_epoch=0.962]
2023-03-31 16:27:01
Epoch 80:  92%|███████████████████▎ | 11/12 [00:10<00:00,  1.02it/s, loss=0.452, v_num=avj3, train_loss_step=0.238, train_acc_step=1.000, val_loss=1.090, val_acc=0.682, train_loss_epoch=0.453, train_acc_epoch=0.962]
2023-03-31 16:27:09
Epoch 81:  83%|█████████████████▌   | 10/12 [00:07<00:01,  1.28it/s, loss=0.448, v_num=avj3, train_loss_step=0.598, train_acc_step=1.000, val_loss=0.932, val_acc=0.773, train_loss_epoch=0.451, train_acc_epoch=0.950]
2023-03-31 16:27:09
Validation: 0it [00:00, ?it/s]