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2022-10-11 13:27:14
Epoch 140:  89%|████████████████████████████████████████▉     | 8/9 [00:04<00:00,  1.64it/s, loss=0.0378, v_num=gnib, val/loss=0.0315, train/loss=0.0379, val/precision=0.755, val/recall=0.796, val/f1=0.775, val/TDR=0.950]
2022-10-11 13:27:24
Epoch 141:  89%|████████████████████████████████████████▉     | 8/9 [00:05<00:00,  1.56it/s, loss=0.0381, v_num=gnib, val/loss=0.0311, train/loss=0.0379, val/precision=0.773, val/recall=0.777, val/f1=0.775, val/TDR=0.947]
2022-10-11 13:27:32
Epoch 142:  89%|█████████████████████████████████████████▊     | 8/9 [00:04<00:00,  1.62it/s, loss=0.0397, v_num=gnib, val/loss=0.0315, train/loss=0.038, val/precision=0.766, val/recall=0.772, val/f1=0.769, val/TDR=0.945]
2022-10-11 13:27:42
Epoch 143:  89%|█████████████████████████████████████████▊     | 8/9 [00:04<00:00,  1.62it/s, loss=0.038, v_num=gnib, val/loss=0.0308, train/loss=0.0409, val/precision=0.771, val/recall=0.789, val/f1=0.780, val/TDR=0.950]
2022-10-11 13:27:50
Epoch 144:  89%|█████████████████████████████████████████▊     | 8/9 [00:04<00:00,  1.61it/s, loss=0.0381, v_num=gnib, val/loss=0.0305, train/loss=0.036, val/precision=0.785, val/recall=0.775, val/f1=0.780, val/TDR=0.958]
2022-10-11 13:27:58
Epoch 145:  89%|█████████████████████████████████████████▊     | 8/9 [00:04<00:00,  1.61it/s, loss=0.0378, v_num=gnib, val/loss=0.031, train/loss=0.0382, val/precision=0.772, val/recall=0.794, val/f1=0.783, val/TDR=0.955]
2022-10-11 13:28:08
Epoch 146:  89%|████████████████████████████████████████▉     | 8/9 [00:04<00:00,  1.63it/s, loss=0.0384, v_num=gnib, val/loss=0.0308, train/loss=0.0381, val/precision=0.768, val/recall=0.795, val/f1=0.781, val/TDR=0.955]
2022-10-11 13:28:16
Epoch 147:  89%|████████████████████████████████████████▉     | 8/9 [00:04<00:00,  1.66it/s, loss=0.0384, v_num=gnib, val/loss=0.0305, train/loss=0.0388, val/precision=0.780, val/recall=0.776, val/f1=0.778, val/TDR=0.955]
2022-10-11 13:28:18