diff --git "a/ConSense-weights/scvhunter/origin/log.txt" "b/ConSense-weights/scvhunter/origin/log.txt" new file mode 100644--- /dev/null +++ "b/ConSense-weights/scvhunter/origin/log.txt" @@ -0,0 +1,3157 @@ +Fold 1 / 5 +GraphTransformer( + (embedding): Linear(in_features=4096, out_features=256, bias=False) + (encoder): GraphTransformerEncoder( + (layers): ModuleList( + (0-2): 3 x TransformerEncoderLayer( + (self_attn): Attention() + (linear1): Linear(in_features=256, out_features=128, bias=True) + (dropout): Dropout(p=0.1, inplace=False) + (linear2): Linear(in_features=128, out_features=256, bias=True) + (norm1): BatchNorm1d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (norm2): BatchNorm1d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (dropout1): Dropout(p=0.1, inplace=False) + (dropout2): Dropout(p=0.1, inplace=False) + ) + ) + ) + (classifier): Sequential( + (0): Linear(in_features=256, out_features=256, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=256, out_features=2, bias=True) + ) +) +Total number of parameters: 3096706 +Extracting 2-hop subgraphs... +Done! +Extracting 2-hop subgraphs... +Done! +Training... +Train 1/300, loss 0.4991, time 0.8682 +Val 1/300, loss 0.6436, time 0.0913 | acc 0.6102 | pre 0.6102 | recall 1.0000 | f1 0.7579 +Train 2/300, loss 0.3110, time 0.6567 +Val 2/300, loss 0.6282, time 0.0774 | acc 0.7966 | pre 0.7727 | recall 0.9444 | f1 0.8500 +Train 3/300, loss 0.2227, time 0.6347 +Val 3/300, loss 0.5816, time 0.0778 | acc 0.7966 | pre 0.8158 | recall 0.8611 | f1 0.8378 +Train 4/300, loss 0.1930, time 0.6380 +Val 4/300, loss 0.5348, time 0.0778 | acc 0.8305 | pre 0.7955 | recall 0.9722 | f1 0.8750 +Train 5/300, loss 0.1545, time 0.6284 +Val 5/300, loss 0.4773, time 0.0772 | acc 0.8475 | pre 0.8649 | recall 0.8889 | f1 0.8767 +Train 6/300, loss 0.1345, time 0.6195 +Val 6/300, loss 0.4291, time 0.0773 | acc 0.7966 | pre 0.9000 | recall 0.7500 | f1 0.8182 +Train 7/300, loss 0.1228, time 0.6491 +Val 7/300, loss 0.3784, time 0.0785 | acc 0.8475 | pre 0.9091 | recall 0.8333 | f1 0.8696 +Train 8/300, loss 0.1031, time 0.6258 +Val 8/300, loss 0.3662, time 0.0763 | acc 0.8475 | pre 0.9091 | recall 0.8333 | f1 0.8696 +Train 9/300, loss 0.1117, time 0.6235 +Val 9/300, loss 0.3563, time 0.0767 | acc 0.8814 | pre 0.8919 | recall 0.9167 | f1 0.9041 +Train 10/300, loss 0.0922, time 0.6228 +Val 10/300, loss 0.4213, time 0.0821 | acc 0.8644 | pre 0.8889 | recall 0.8889 | f1 0.8889 +Train 11/300, loss 0.0656, time 0.6459 +Val 11/300, loss 0.4346, time 0.0758 | acc 0.8814 | pre 0.8919 | recall 0.9167 | f1 0.9041 +Train 12/300, loss 0.0664, time 0.6298 +Val 12/300, loss 0.4267, time 0.0756 | acc 0.8983 | pre 0.9167 | recall 0.9167 | f1 0.9167 +Train 13/300, loss 0.0671, time 0.6203 +Val 13/300, loss 0.9572, time 0.0760 | acc 0.8305 | pre 0.9333 | recall 0.7778 | f1 0.8485 +Train 14/300, loss 0.0850, time 0.5904 +Val 14/300, loss 0.6839, time 0.0755 | acc 0.8983 | pre 0.9412 | recall 0.8889 | f1 0.9143 +Train 15/300, loss 0.0958, time 0.6291 +Val 15/300, loss 0.8358, time 0.0759 | acc 0.8644 | pre 0.9375 | recall 0.8333 | f1 0.8824 +Train 16/300, loss 0.0643, time 0.6349 +Val 16/300, loss 0.7891, time 0.0763 | acc 0.8644 | pre 0.9375 | recall 0.8333 | f1 0.8824 +Train 17/300, loss 0.0437, time 0.6227 +Val 17/300, loss 0.8164, time 0.0761 | acc 0.8644 | pre 0.9375 | recall 0.8333 | f1 0.8824 +Train 18/300, loss 0.0327, time 0.6248 +Val 18/300, loss 0.7487, time 0.0768 | acc 0.8644 | pre 0.9375 | recall 0.8333 | f1 0.8824 +Train 19/300, loss 0.0236, time 0.6285 +Val 19/300, loss 0.6713, time 0.0759 | acc 0.8644 | pre 0.9118 | recall 0.8611 | f1 0.8857 +Train 20/300, loss 0.0237, time 0.6286 +Val 20/300, loss 0.6766, time 0.0773 | acc 0.9153 | pre 0.9189 | recall 0.9444 | f1 0.9315 +Train 21/300, loss 0.0232, time 0.6137 +Val 21/300, loss 0.7327, time 0.0747 | acc 0.8983 | pre 0.9167 | recall 0.9167 | f1 0.9167 +Train 22/300, loss 0.0233, time 0.6154 +Val 22/300, loss 0.8054, time 0.0767 | acc 0.8814 | pre 0.8919 | recall 0.9167 | f1 0.9041 +Train 23/300, loss 0.0329, time 0.6352 +Val 23/300, loss 0.6989, time 0.0743 | acc 0.8814 | pre 0.9143 | recall 0.8889 | f1 0.9014 +Train 24/300, loss 0.0620, time 0.6101 +Val 24/300, loss 0.8501, time 0.0733 | acc 0.8644 | pre 0.9375 | recall 0.8333 | f1 0.8824 +Train 25/300, loss 0.0416, time 0.6309 +Val 25/300, loss 1.0525, time 0.0757 | acc 0.8814 | pre 0.9143 | recall 0.8889 | f1 0.9014 +Train 26/300, loss 0.0376, time 0.6025 +Val 26/300, loss 0.8488, time 0.0752 | acc 0.8983 | pre 0.9412 | recall 0.8889 | f1 0.9143 +Train 27/300, loss 0.0268, time 0.6255 +Val 27/300, loss 0.7718, time 0.0766 | acc 0.8983 | pre 0.9167 | recall 0.9167 | f1 0.9167 +Train 28/300, loss 0.0204, time 0.7053 +Val 28/300, loss 0.7650, time 0.0780 | acc 0.8983 | pre 0.9167 | recall 0.9167 | f1 0.9167 +Train 29/300, loss 0.0253, time 0.6400 +Val 29/300, loss 0.8359, time 0.0786 | acc 0.8644 | pre 0.9118 | recall 0.8611 | f1 0.8857 +Train 30/300, loss 0.0399, time 0.6320 +Val 30/300, loss 0.9927, time 0.0747 | acc 0.8814 | pre 0.9394 | recall 0.8611 | f1 0.8986 +Train 31/300, loss 0.0164, time 0.6186 +Val 31/300, loss 0.8253, time 0.0748 | acc 0.8983 | pre 0.9412 | recall 0.8889 | f1 0.9143 +Train 32/300, loss 0.0136, time 0.5941 +Val 32/300, loss 0.7720, time 0.0744 | acc 0.9153 | pre 0.9429 | recall 0.9167 | f1 0.9296 +Train 33/300, loss 0.0159, time 0.6230 +Val 33/300, loss 0.6544, time 0.0774 | acc 0.9322 | pre 0.9444 | recall 0.9444 | f1 0.9444 +Train 34/300, loss 0.0070, time 0.6330 +Val 34/300, loss 0.5761, time 0.0745 | acc 0.9153 | pre 0.9189 | recall 0.9444 | f1 0.9315 +Train 35/300, loss 0.0181, time 0.6319 +Val 35/300, loss 0.6058, time 0.0797 | acc 0.9153 | pre 0.9189 | recall 0.9444 | f1 0.9315 +Train 36/300, loss 0.0154, time 0.7248 +Val 36/300, loss 0.7102, time 0.0751 | acc 0.9153 | pre 0.9429 | recall 0.9167 | f1 0.9296 +Train 37/300, loss 0.0063, time 0.5610 +Val 37/300, loss 0.7535, time 0.0753 | acc 0.9322 | pre 0.9444 | recall 0.9444 | f1 0.9444 +Train 38/300, loss 0.0059, time 0.6813 +Val 38/300, loss 0.7791, time 0.0719 | acc 0.9153 | pre 0.9429 | recall 0.9167 | f1 0.9296 +Train 39/300, loss 0.0072, time 0.5289 +Val 39/300, loss 0.8138, time 0.0739 | acc 0.9153 | pre 0.9429 | recall 0.9167 | f1 0.9296 +Train 40/300, loss 0.0040, time 0.5305 +Val 40/300, loss 0.7988, time 0.0752 | acc 0.8983 | pre 0.9412 | recall 0.8889 | f1 0.9143 +Train 41/300, loss 0.0081, time 0.6318 +Val 41/300, loss 0.7930, time 0.0731 | acc 0.9153 | pre 0.9429 | recall 0.9167 | f1 0.9296 +Train 42/300, loss 0.0104, time 0.6167 +Val 42/300, loss 0.7539, time 0.0750 | acc 0.8983 | pre 0.9412 | recall 0.8889 | f1 0.9143 +Train 43/300, loss 0.0065, time 0.5969 +Val 43/300, loss 0.7609, time 0.0730 | acc 0.8983 | pre 0.9412 | recall 0.8889 | f1 0.9143 +Train 44/300, loss 0.0097, time 0.6119 +Val 44/300, loss 0.6898, time 0.0750 | acc 0.9153 | pre 0.9429 | recall 0.9167 | f1 0.9296 +Train 45/300, loss 0.0052, time 0.6240 +Val 45/300, loss 0.6971, time 0.0750 | acc 0.9322 | pre 0.9444 | recall 0.9444 | f1 0.9444 +Train 46/300, loss 0.0101, time 0.6247 +Val 46/300, loss 0.6730, time 0.0757 | acc 0.9322 | pre 0.9444 | recall 0.9444 | f1 0.9444 +Train 47/300, loss 0.0298, time 0.6718 +Val 47/300, loss 0.8101, time 0.0736 | acc 0.9322 | pre 0.9211 | recall 0.9722 | f1 0.9459 +Train 48/300, loss 0.0128, time 0.6177 +Val 48/300, loss 0.9132, time 0.0770 | acc 0.8136 | pre 0.7778 | recall 0.9722 | f1 0.8642 +Train 49/300, loss 0.0074, time 0.6368 +Val 49/300, loss 0.6196, time 0.0771 | acc 0.9322 | pre 0.9444 | recall 0.9444 | f1 0.9444 +Train 50/300, loss 0.0030, time 0.6247 +Val 50/300, loss 0.6744, time 0.0770 | acc 0.9153 | pre 0.9429 | recall 0.9167 | f1 0.9296 +Train 51/300, loss 0.0237, time 0.6276 +Val 51/300, loss 0.6748, time 0.0771 | acc 0.9322 | pre 0.9444 | recall 0.9444 | f1 0.9444 +Train 52/300, loss 0.0180, time 0.6267 +Val 52/300, loss 0.7182, time 0.0771 | acc 0.8814 | pre 0.9394 | recall 0.8611 | f1 0.8986 +Train 53/300, loss 0.0533, time 0.6366 +Val 53/300, loss 0.7548, time 0.0783 | acc 0.8983 | pre 0.9412 | recall 0.8889 | f1 0.9143 +Train 54/300, loss 0.0701, time 0.6396 +Val 54/300, loss 0.7697, time 0.0783 | acc 0.9153 | pre 0.9189 | recall 0.9444 | f1 0.9315 +Train 55/300, loss 0.0985, time 0.6364 +Val 55/300, loss 0.7097, time 0.0780 | acc 0.8814 | pre 0.9143 | recall 0.8889 | f1 0.9014 +Train 56/300, loss 0.0426, time 0.6315 +Val 56/300, loss 0.7106, time 0.0786 | acc 0.8644 | pre 0.8500 | recall 0.9444 | f1 0.8947 +Train 57/300, loss 0.0343, time 0.6438 +Val 57/300, loss 0.6314, time 0.0781 | acc 0.8814 | pre 0.9143 | recall 0.8889 | f1 0.9014 +Train 58/300, loss 0.0184, time 0.6337 +Val 58/300, loss 0.9355, time 0.0786 | acc 0.8814 | pre 0.9394 | recall 0.8611 | f1 0.8986 +Train 59/300, loss 0.0105, time 0.6356 +Val 59/300, loss 0.8706, time 0.0782 | acc 0.8644 | pre 0.9375 | recall 0.8333 | f1 0.8824 +Train 60/300, loss 0.0070, time 0.6380 +Val 60/300, loss 0.8159, time 0.0781 | acc 0.8814 | pre 0.9394 | recall 0.8611 | f1 0.8986 +Train 61/300, loss 0.0077, time 0.6395 +Val 61/300, loss 0.7992, time 0.0781 | acc 0.8983 | pre 0.9412 | recall 0.8889 | f1 0.9143 +Train 62/300, loss 0.0051, time 0.6300 +Val 62/300, loss 0.7925, time 0.0757 | acc 0.8983 | pre 0.9412 | recall 0.8889 | f1 0.9143 +Train 63/300, loss 0.0062, time 0.6329 +Val 63/300, loss 0.7752, time 0.0772 | acc 0.8814 | pre 0.9143 | recall 0.8889 | f1 0.9014 +Train 64/300, loss 0.0035, time 0.6264 +Val 64/300, loss 0.7715, time 0.0770 | acc 0.8983 | pre 0.9167 | recall 0.9167 | f1 0.9167 +Train 65/300, loss 0.0082, time 0.6285 +Val 65/300, loss 0.6721, time 0.0771 | acc 0.9153 | pre 0.9189 | recall 0.9444 | f1 0.9315 +Train 66/300, loss 0.0657, time 0.6220 +Val 66/300, loss 0.7504, time 0.0760 | acc 0.8644 | pre 0.8889 | recall 0.8889 | f1 0.8889 +Train 67/300, loss 0.0361, time 0.6211 +Val 67/300, loss 0.8588, time 0.0765 | acc 0.8814 | pre 0.9394 | recall 0.8611 | f1 0.8986 +Train 68/300, loss 0.0424, time 0.6348 +Val 68/300, loss 0.9597, time 0.0769 | acc 0.8136 | pre 0.8205 | recall 0.8889 | f1 0.8533 +Train 69/300, loss 0.0349, time 0.6375 +Val 69/300, loss 0.7606, time 0.0764 | acc 0.8644 | pre 0.9118 | recall 0.8611 | f1 0.8857 +Train 70/300, loss 0.0160, time 0.6363 +Val 70/300, loss 0.5715, time 0.0773 | acc 0.9153 | pre 0.9189 | recall 0.9444 | f1 0.9315 +Train 71/300, loss 0.0284, time 0.6429 +Val 71/300, loss 0.6706, time 0.0772 | acc 0.8814 | pre 0.9143 | recall 0.8889 | f1 0.9014 +Train 72/300, loss 0.0097, time 0.6484 +Val 72/300, loss 0.6596, time 0.0769 | acc 0.9322 | pre 0.9211 | recall 0.9722 | f1 0.9459 +Train 73/300, loss 0.0086, time 0.6404 +Val 73/300, loss 0.6290, time 0.0741 | acc 0.9322 | pre 0.9211 | recall 0.9722 | f1 0.9459 +Train 74/300, loss 0.0121, time 0.6306 +Val 74/300, loss 0.7028, time 0.0771 | acc 0.8983 | pre 0.8750 | recall 0.9722 | f1 0.9211 +Train 75/300, loss 0.0087, time 0.6524 +Val 75/300, loss 0.5867, time 0.0771 | acc 0.8814 | pre 0.9143 | recall 0.8889 | f1 0.9014 +Train 76/300, loss 0.0037, time 0.6418 +Val 76/300, loss 0.7671, time 0.0770 | acc 0.8814 | pre 0.9677 | recall 0.8333 | f1 0.8955 +Train 77/300, loss 0.0134, time 0.6353 +Val 77/300, loss 1.0581, time 0.0769 | acc 0.8983 | pre 0.8571 | recall 1.0000 | f1 0.9231 +Train 78/300, loss 0.0554, time 0.6501 +Val 78/300, loss 0.7746, time 0.0770 | acc 0.8814 | pre 0.9143 | recall 0.8889 | f1 0.9014 +Train 79/300, loss 0.0349, time 0.6299 +Val 79/300, loss 6.6850, time 0.0769 | acc 0.4237 | pre 1.0000 | recall 0.0556 | f1 0.1053 +Train 80/300, loss 0.0320, time 0.6381 +Val 80/300, loss 1.4414, time 0.0773 | acc 0.7458 | pre 0.9565 | recall 0.6111 | f1 0.7458 +Train 81/300, loss 0.0290, time 0.6468 +Val 81/300, loss 0.7427, time 0.0771 | acc 0.8644 | pre 0.9375 | recall 0.8333 | f1 0.8824 +Train 82/300, loss 0.0162, time 0.6382 +Val 82/300, loss 0.6049, time 0.0770 | acc 0.8983 | pre 0.9412 | recall 0.8889 | f1 0.9143 +Train 83/300, loss 0.0090, time 0.6414 +Val 83/300, loss 0.6236, time 0.0773 | acc 0.8983 | pre 0.9167 | recall 0.9167 | f1 0.9167 +Train 84/300, loss 0.0038, time 0.6374 +Val 84/300, loss 0.5984, time 0.0758 | acc 0.8814 | pre 0.9143 | recall 0.8889 | f1 0.9014 +Train 85/300, loss 0.0037, time 0.6486 +Val 85/300, loss 0.6702, time 0.0771 | acc 0.8814 | pre 0.9143 | recall 0.8889 | f1 0.9014 +Train 86/300, loss 0.0022, time 0.6350 +Val 86/300, loss 0.6977, time 0.0759 | acc 0.8983 | pre 0.9167 | recall 0.9167 | f1 0.9167 +Train 87/300, loss 0.0111, time 0.6311 +Val 87/300, loss 0.7135, time 0.0758 | acc 0.8814 | pre 0.9143 | recall 0.8889 | f1 0.9014 +Train 88/300, loss 0.0018, time 0.6434 +Val 88/300, loss 0.7598, time 0.0774 | acc 0.8814 | pre 0.9143 | recall 0.8889 | f1 0.9014 +Train 89/300, loss 0.0022, time 0.6503 +Val 89/300, loss 0.8185, time 0.0759 | acc 0.8814 | pre 0.9143 | recall 0.8889 | f1 0.9014 +Train 90/300, loss 0.0053, time 0.6519 +Val 90/300, loss 0.7817, time 0.0775 | acc 0.8814 | pre 0.9143 | recall 0.8889 | f1 0.9014 +Train 91/300, loss 0.0012, time 0.6416 +Val 91/300, loss 0.8126, time 0.0774 | acc 0.8814 | pre 0.9143 | recall 0.8889 | f1 0.9014 +Train 92/300, loss 0.0016, time 0.6423 +Val 92/300, loss 0.8488, time 0.0773 | acc 0.8983 | pre 0.9167 | recall 0.9167 | f1 0.9167 +Train 93/300, loss 0.0009, time 0.6406 +Val 93/300, loss 0.8683, time 0.0772 | acc 0.8814 | pre 0.9143 | recall 0.8889 | f1 0.9014 +Train 94/300, loss 0.0008, time 0.6440 +Val 94/300, loss 0.8960, time 0.0772 | acc 0.8814 | pre 0.9143 | recall 0.8889 | f1 0.9014 +Train 95/300, loss 0.0010, time 0.6381 +Val 95/300, loss 0.9173, time 0.0771 | acc 0.8814 | pre 0.9143 | recall 0.8889 | f1 0.9014 +Train 96/300, loss 0.0007, time 0.6386 +Val 96/300, loss 0.9071, time 0.0776 | acc 0.8814 | pre 0.9143 | recall 0.8889 | f1 0.9014 +Train 97/300, loss 0.0004, time 0.6396 +Val 97/300, loss 0.9070, time 0.0804 | acc 0.8814 | pre 0.9143 | recall 0.8889 | f1 0.9014 +Train 98/300, loss 0.0006, time 0.6360 +Val 98/300, loss 0.9315, time 0.0773 | acc 0.8814 | pre 0.9143 | recall 0.8889 | f1 0.9014 +Train 99/300, loss 0.0009, time 0.6543 +Val 99/300, loss 0.9464, time 0.0771 | acc 0.8983 | pre 0.9167 | recall 0.9167 | f1 0.9167 +Train 100/300, loss 0.0004, time 0.6526 +Val 100/300, loss 0.9196, time 0.0787 | acc 0.8983 | pre 0.9167 | recall 0.9167 | f1 0.9167 +Train 101/300, loss 0.0006, time 0.6423 +Val 101/300, loss 0.9110, time 0.0775 | acc 0.8983 | pre 0.9167 | recall 0.9167 | f1 0.9167 +Train 102/300, loss 0.0005, time 0.6544 +Val 102/300, loss 0.9065, time 0.0775 | acc 0.8983 | pre 0.9167 | recall 0.9167 | f1 0.9167 +Train 103/300, loss 0.0012, time 0.6449 +Val 103/300, loss 0.9193, time 0.0775 | acc 0.8814 | pre 0.9143 | recall 0.8889 | f1 0.9014 +Train 104/300, loss 0.0006, time 0.6408 +Val 104/300, loss 0.9271, time 0.0783 | acc 0.8814 | pre 0.9143 | recall 0.8889 | f1 0.9014 +Train 105/300, loss 0.0005, time 0.7018 +Val 105/300, loss 0.9403, time 0.0740 | acc 0.8983 | pre 0.9167 | recall 0.9167 | f1 0.9167 +Train 106/300, loss 0.0007, time 0.6485 +Val 106/300, loss 0.9294, time 0.0758 | acc 0.8814 | pre 0.9143 | recall 0.8889 | f1 0.9014 +Train 107/300, loss 0.0004, time 0.6922 +Val 107/300, loss 0.9107, time 0.0738 | acc 0.8983 | pre 0.9167 | recall 0.9167 | f1 0.9167 +Train 108/300, loss 0.0002, time 0.6240 +Val 108/300, loss 0.9096, time 0.0761 | acc 0.8983 | pre 0.9167 | recall 0.9167 | f1 0.9167 +Train 109/300, loss 0.0003, time 0.6606 +Val 109/300, loss 0.8922, time 0.0745 | acc 0.8983 | pre 0.9167 | recall 0.9167 | f1 0.9167 +Train 110/300, loss 0.0005, time 0.6337 +Val 110/300, loss 0.8975, time 0.0773 | acc 0.8983 | pre 0.9167 | recall 0.9167 | f1 0.9167 +Train 111/300, loss 0.0002, time 0.6688 +Val 111/300, loss 0.9273, time 0.0729 | acc 0.8983 | pre 0.9167 | recall 0.9167 | f1 0.9167 +Train 112/300, loss 0.0047, time 0.6146 +Val 112/300, loss 1.0166, time 0.0743 | acc 0.8983 | pre 0.9167 | recall 0.9167 | f1 0.9167 +Train 113/300, loss 0.0232, time 0.6302 +Val 113/300, loss 2.1042, time 0.1102 | acc 0.7797 | pre 0.7347 | recall 1.0000 | f1 0.8471 +Train 114/300, loss 0.0188, time 0.6047 +Val 114/300, loss 2.0976, time 0.0758 | acc 0.7627 | pre 0.7200 | recall 1.0000 | f1 0.8372 +Train 115/300, loss 0.0193, time 0.6098 +Val 115/300, loss 0.9720, time 0.0810 | acc 0.8814 | pre 0.9143 | recall 0.8889 | f1 0.9014 +Train 116/300, loss 0.1076, time 0.6528 +Val 116/300, loss 1.0275, time 0.0754 | acc 0.9492 | pre 0.9231 | recall 1.0000 | f1 0.9600 +Train 117/300, loss 0.0390, time 0.6337 +Val 117/300, loss 1.2402, time 0.0775 | acc 0.8983 | pre 0.8571 | recall 1.0000 | f1 0.9231 +Train 118/300, loss 0.0335, time 0.6260 +Val 118/300, loss 1.2990, time 0.0753 | acc 0.7119 | pre 0.9130 | recall 0.5833 | f1 0.7119 +Train 119/300, loss 0.0352, time 0.6277 +Val 119/300, loss 0.7280, time 0.0761 | acc 0.8136 | pre 0.8788 | recall 0.8056 | f1 0.8406 +Train 120/300, loss 0.0295, time 0.6664 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0.9189 | recall 0.9444 | f1 0.9315 +Train 128/300, loss 0.0093, time 0.6968 +Val 128/300, loss 0.6482, time 0.0736 | acc 0.9322 | pre 0.9211 | recall 0.9722 | f1 0.9459 +Train 129/300, loss 0.0017, time 0.6282 +Val 129/300, loss 0.6865, time 0.0763 | acc 0.8983 | pre 0.9167 | recall 0.9167 | f1 0.9167 +Train 130/300, loss 0.0041, time 0.6753 +Val 130/300, loss 0.7185, time 0.0737 | acc 0.8644 | pre 0.9118 | recall 0.8611 | f1 0.8857 +Train 131/300, loss 0.0012, time 0.6396 +Val 131/300, loss 0.7762, time 0.0761 | acc 0.8644 | pre 0.9118 | recall 0.8611 | f1 0.8857 +Train 132/300, loss 0.0013, time 0.6408 +Val 132/300, loss 0.8166, time 0.0755 | acc 0.8644 | pre 0.9118 | recall 0.8611 | f1 0.8857 +Train 133/300, loss 0.0005, time 0.6543 +Val 133/300, loss 0.8456, time 0.0728 | acc 0.8644 | pre 0.9118 | recall 0.8611 | f1 0.8857 +Train 134/300, loss 0.0009, time 0.6220 +Val 134/300, loss 0.8488, time 0.0746 | acc 0.8644 | pre 0.9118 | recall 0.8611 | f1 0.8857 +Train 135/300, loss 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0.9722 | f1 0.9459 +Train 180/300, loss 0.0010, time 0.6381 +Val 180/300, loss 0.7036, time 0.0761 | acc 0.9322 | pre 0.9211 | recall 0.9722 | f1 0.9459 +Train 181/300, loss 0.0019, time 0.6384 +Val 181/300, loss 0.7084, time 0.0767 | acc 0.9322 | pre 0.9444 | recall 0.9444 | f1 0.9444 +Train 182/300, loss 0.0002, time 0.6289 +Val 182/300, loss 0.7218, time 0.0763 | acc 0.8983 | pre 0.9412 | recall 0.8889 | f1 0.9143 +Train 183/300, loss 0.0008, time 0.6511 +Val 183/300, loss 0.7161, time 0.0764 | acc 0.9153 | pre 0.9429 | recall 0.9167 | f1 0.9296 +Train 184/300, loss 0.0007, time 0.6171 +Val 184/300, loss 0.7119, time 0.0763 | acc 0.9153 | pre 0.9429 | recall 0.9167 | f1 0.9296 +Train 185/300, loss 0.0002, time 0.5467 +Val 185/300, loss 0.7152, time 0.0745 | acc 0.9153 | pre 0.9429 | recall 0.9167 | f1 0.9296 +Train 186/300, loss 0.0005, time 0.5475 +Val 186/300, loss 0.7094, time 0.0743 | acc 0.9322 | pre 0.9444 | recall 0.9444 | f1 0.9444 +Train 187/300, loss 0.0002, time 0.5475 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0.9310 | recall 0.7500 | f1 0.8308 +Train 195/300, loss 0.0969, time 0.6675 +Val 195/300, loss 0.7796, time 0.0749 | acc 0.9153 | pre 0.9189 | recall 0.9444 | f1 0.9315 +Train 196/300, loss 0.0260, time 0.6200 +Val 196/300, loss 0.7505, time 0.0767 | acc 0.8983 | pre 0.8947 | recall 0.9444 | f1 0.9189 +Train 197/300, loss 0.0213, time 0.6574 +Val 197/300, loss 0.5815, time 0.0759 | acc 0.9153 | pre 0.9429 | recall 0.9167 | f1 0.9296 +Train 198/300, loss 0.0036, time 0.6351 +Val 198/300, loss 0.5900, time 0.0774 | acc 0.9153 | pre 0.9429 | recall 0.9167 | f1 0.9296 +Train 199/300, loss 0.0101, time 0.7088 +Val 199/300, loss 0.6849, time 0.0758 | acc 0.9153 | pre 0.9429 | recall 0.9167 | f1 0.9296 +Train 200/300, loss 0.0147, time 0.6477 +Val 200/300, loss 0.8905, time 0.0772 | acc 0.8983 | pre 0.9167 | recall 0.9167 | f1 0.9167 +Train 201/300, loss 0.0097, time 0.6514 +Val 201/300, loss 0.9785, time 0.0748 | acc 0.8983 | pre 0.9167 | recall 0.9167 | f1 0.9167 +Train 202/300, loss 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0.9444 +Train 232/300, loss 0.0011, time 0.6553 +Val 232/300, loss 1.1533, time 0.0769 | acc 0.9153 | pre 0.9189 | recall 0.9444 | f1 0.9315 +Train 233/300, loss 0.0227, time 0.6403 +Val 233/300, loss 1.3511, time 0.0787 | acc 0.8475 | pre 0.9355 | recall 0.8056 | f1 0.8657 +Train 234/300, loss 0.0131, time 0.6363 +Val 234/300, loss 1.8046, time 0.0769 | acc 0.8136 | pre 0.9310 | recall 0.7500 | f1 0.8308 +Train 235/300, loss 0.0129, time 0.6412 +Val 235/300, loss 1.5165, time 0.0768 | acc 0.8475 | pre 0.9355 | recall 0.8056 | f1 0.8657 +Train 236/300, loss 0.0031, time 0.6416 +Val 236/300, loss 1.2788, time 0.0769 | acc 0.7966 | pre 0.8750 | recall 0.7778 | f1 0.8235 +Train 237/300, loss 0.0083, time 0.6379 +Val 237/300, loss 1.2635, time 0.0769 | acc 0.8475 | pre 0.8857 | recall 0.8611 | f1 0.8732 +Train 238/300, loss 0.0024, time 0.6350 +Val 238/300, loss 1.3403, time 0.0772 | acc 0.8475 | pre 0.8857 | recall 0.8611 | f1 0.8732 +Train 239/300, loss 0.0029, time 0.6353 +Val 239/300, loss 1.3194, time 0.0770 | acc 0.8475 | pre 0.8857 | recall 0.8611 | f1 0.8732 +Train 240/300, loss 0.0013, time 0.6330 +Val 240/300, loss 1.2814, time 0.0767 | acc 0.8475 | pre 0.8857 | recall 0.8611 | f1 0.8732 +Train 241/300, loss 0.0016, time 0.6468 +Val 241/300, loss 1.2444, time 0.0769 | acc 0.8814 | pre 0.8919 | recall 0.9167 | f1 0.9041 +Train 242/300, loss 0.0029, time 0.6382 +Val 242/300, loss 1.1974, time 0.0768 | acc 0.8814 | pre 0.8919 | recall 0.9167 | f1 0.9041 +Train 243/300, loss 0.0010, time 0.6320 +Val 243/300, loss 1.1962, time 0.0771 | acc 0.8814 | pre 0.8919 | recall 0.9167 | f1 0.9041 +Train 244/300, loss 0.0004, time 0.6579 +Val 244/300, loss 1.2403, time 0.0791 | acc 0.8983 | pre 0.9167 | recall 0.9167 | f1 0.9167 +Train 245/300, loss 0.0004, time 0.6710 +Val 245/300, loss 1.2372, time 0.0780 | acc 0.8983 | pre 0.9167 | recall 0.9167 | f1 0.9167 +Train 246/300, loss 0.0003, time 0.6542 +Val 246/300, loss 1.2410, time 0.0838 | acc 0.8814 | pre 0.9143 | recall 0.8889 | f1 0.9014 +Train 247/300, loss 0.0022, time 0.6513 +Val 247/300, loss 1.2978, time 0.0760 | acc 0.8814 | pre 0.9143 | recall 0.8889 | f1 0.9014 +Train 248/300, loss 0.0002, time 0.6387 +Val 248/300, loss 1.3892, time 0.0768 | acc 0.8644 | pre 0.9118 | recall 0.8611 | f1 0.8857 +Train 249/300, loss 0.0019, time 0.6533 +Val 249/300, loss 1.3691, time 0.0772 | acc 0.8644 | pre 0.9118 | recall 0.8611 | f1 0.8857 +Train 250/300, loss 0.0004, time 0.6401 +Val 250/300, loss 1.3874, time 0.0770 | acc 0.8644 | pre 0.9118 | recall 0.8611 | f1 0.8857 +Train 251/300, loss 0.0002, time 0.6441 +Val 251/300, loss 1.3959, time 0.0768 | acc 0.8644 | pre 0.9118 | recall 0.8611 | f1 0.8857 +Train 252/300, loss 0.0009, time 0.6251 +Val 252/300, loss 1.4642, time 0.0766 | acc 0.8644 | pre 0.9118 | recall 0.8611 | f1 0.8857 +Train 253/300, loss 0.0008, time 0.6402 +Val 253/300, loss 1.5006, time 0.0765 | acc 0.8644 | pre 0.9118 | recall 0.8611 | f1 0.8857 +Train 254/300, loss 0.0001, time 0.6354 +Val 254/300, loss 1.4855, time 0.0766 | acc 0.8644 | pre 0.9118 | recall 0.8611 | f1 0.8857 +Train 255/300, loss 0.0001, time 0.6543 +Val 255/300, loss 1.5097, time 0.0769 | acc 0.8644 | pre 0.9118 | recall 0.8611 | f1 0.8857 +Train 256/300, loss 0.0005, time 0.6558 +Val 256/300, loss 1.4868, time 0.0769 | acc 0.8644 | pre 0.9118 | recall 0.8611 | f1 0.8857 +Train 257/300, loss 0.0001, time 0.6549 +Val 257/300, loss 1.4782, time 0.0766 | acc 0.8644 | pre 0.9118 | recall 0.8611 | f1 0.8857 +Train 258/300, loss 0.0001, time 0.6395 +Val 258/300, loss 1.4917, time 0.0770 | acc 0.8644 | pre 0.9118 | recall 0.8611 | f1 0.8857 +Train 259/300, loss 0.0001, time 0.6344 +Val 259/300, loss 1.4875, time 0.0768 | acc 0.8644 | pre 0.9118 | recall 0.8611 | f1 0.8857 +Train 260/300, loss 0.0000, time 0.6441 +Val 260/300, loss 1.4891, time 0.0770 | acc 0.8644 | pre 0.9118 | recall 0.8611 | f1 0.8857 +Train 261/300, loss 0.0000, time 0.6740 +Val 261/300, loss 1.5213, time 0.0768 | acc 0.8644 | pre 0.9118 | recall 0.8611 | f1 0.8857 +Train 262/300, loss 0.0001, time 0.6411 +Val 262/300, loss 1.5203, time 0.0771 | acc 0.8644 | pre 0.9118 | recall 0.8611 | f1 0.8857 +Train 263/300, loss 0.0004, time 0.6388 +Val 263/300, loss 1.5088, time 0.0740 | acc 0.8644 | pre 0.9118 | recall 0.8611 | f1 0.8857 +Train 264/300, loss 0.0000, time 0.6237 +Val 264/300, loss 1.4899, time 0.0754 | acc 0.8644 | pre 0.9118 | recall 0.8611 | f1 0.8857 +Train 265/300, loss 0.0001, time 0.6306 +Val 265/300, loss 1.5053, time 0.0755 | acc 0.8644 | pre 0.9118 | recall 0.8611 | f1 0.8857 +Train 266/300, loss 0.0001, time 0.6359 +Val 266/300, loss 1.5205, time 0.0769 | acc 0.8644 | pre 0.9118 | recall 0.8611 | f1 0.8857 +Train 267/300, loss 0.0001, time 0.6415 +Val 267/300, loss 1.4870, time 0.0777 | acc 0.8644 | pre 0.9118 | recall 0.8611 | f1 0.8857 +Train 268/300, loss 0.0001, time 0.6357 +Val 268/300, loss 1.4981, time 0.0758 | acc 0.8644 | pre 0.9118 | recall 0.8611 | f1 0.8857 +Train 269/300, loss 0.0001, time 0.6472 +Val 269/300, loss 1.4625, time 0.0756 | acc 0.8644 | pre 0.9118 | recall 0.8611 | f1 0.8857 +Train 270/300, loss 0.0000, time 0.6397 +Val 270/300, loss 1.4270, time 0.0751 | acc 0.8644 | pre 0.9118 | recall 0.8611 | f1 0.8857 +Train 271/300, loss 0.0001, time 0.6318 +Val 271/300, loss 1.4607, time 0.0762 | acc 0.8644 | pre 0.9118 | recall 0.8611 | f1 0.8857 +Train 272/300, loss 0.0001, time 0.6326 +Val 272/300, loss 1.4496, time 0.0755 | acc 0.8644 | pre 0.9118 | recall 0.8611 | f1 0.8857 +Train 273/300, loss 0.0002, time 0.6423 +Val 273/300, loss 1.4524, time 0.1632 | acc 0.8644 | pre 0.9118 | recall 0.8611 | f1 0.8857 +Train 274/300, loss 0.0001, time 0.6023 +Val 274/300, loss 1.4707, time 0.0763 | acc 0.8644 | pre 0.9118 | recall 0.8611 | f1 0.8857 +Train 275/300, loss 0.0001, time 0.6275 +Val 275/300, loss 1.4713, time 0.1671 | acc 0.8644 | pre 0.9118 | recall 0.8611 | f1 0.8857 +Train 276/300, loss 0.0008, time 0.6115 +Val 276/300, loss 1.4488, time 0.0757 | acc 0.8644 | pre 0.9118 | recall 0.8611 | f1 0.8857 +Train 277/300, loss 0.0005, time 0.6536 +Val 277/300, loss 1.3268, time 0.1763 | acc 0.8136 | pre 0.8205 | recall 0.8889 | f1 0.8533 +Train 278/300, loss 0.0014, time 0.6630 +Val 278/300, loss 1.3308, time 0.0773 | acc 0.8644 | pre 0.9118 | recall 0.8611 | f1 0.8857 +Train 279/300, loss 0.0000, time 0.7098 +Val 279/300, loss 1.4433, time 0.0746 | acc 0.8644 | pre 0.9118 | recall 0.8611 | f1 0.8857 +Train 280/300, loss 0.0263, time 0.6213 +Val 280/300, loss 1.5711, time 0.0767 | acc 0.8814 | pre 0.9394 | recall 0.8611 | f1 0.8986 +Train 281/300, loss 0.0428, time 0.7127 +Val 281/300, loss 3.7329, time 0.0726 | acc 0.6610 | pre 0.9444 | recall 0.4722 | f1 0.6296 +Train 282/300, loss 0.1375, time 0.6274 +Val 282/300, loss 2.0659, time 0.0743 | acc 0.8644 | pre 0.9375 | recall 0.8333 | f1 0.8824 +Train 283/300, loss 0.1320, time 0.6942 +Val 283/300, loss 1.2930, time 0.0730 | acc 0.7797 | pre 0.7674 | recall 0.9167 | f1 0.8354 +Train 284/300, loss 0.2024, time 0.6074 +Val 284/300, loss 0.9125, time 0.0795 | acc 0.8644 | pre 0.8182 | recall 1.0000 | f1 0.9000 +Train 285/300, loss 0.1315, time 0.7009 +Val 285/300, loss 1.0929, time 0.0727 | acc 0.8644 | pre 0.8333 | recall 0.9722 | f1 0.8974 +Train 286/300, loss 0.1487, time 0.6032 +Val 286/300, loss 0.8866, time 0.0759 | acc 0.8475 | pre 0.8649 | recall 0.8889 | f1 0.8767 +Train 287/300, loss 0.0873, time 0.6852 +Val 287/300, loss 0.8634, time 0.0727 | acc 0.8814 | pre 0.9143 | recall 0.8889 | f1 0.9014 +Train 288/300, loss 0.0989, time 0.6113 +Val 288/300, loss 0.8054, time 0.0761 | acc 0.8814 | pre 0.9394 | recall 0.8611 | f1 0.8986 +Train 289/300, loss 0.0637, time 0.6325 +Val 289/300, loss 0.6834, time 0.1690 | acc 0.9153 | pre 0.9429 | recall 0.9167 | f1 0.9296 +Train 290/300, loss 0.0174, time 0.5857 +Val 290/300, loss 0.7406, time 0.0758 | acc 0.8814 | pre 0.9394 | recall 0.8611 | f1 0.8986 +Train 291/300, loss 0.0099, time 0.6360 +Val 291/300, loss 0.8343, time 0.1670 | acc 0.8814 | pre 0.9394 | recall 0.8611 | f1 0.8986 +Train 292/300, loss 0.0118, time 0.6180 +Val 292/300, loss 0.8786, time 0.0756 | acc 0.8814 | pre 0.9394 | recall 0.8611 | f1 0.8986 +Train 293/300, loss 0.0116, time 0.7235 +Val 293/300, loss 0.8058, time 0.0730 | acc 0.8983 | pre 0.9167 | recall 0.9167 | f1 0.9167 +Train 294/300, loss 0.0146, time 0.6323 +Val 294/300, loss 0.8205, time 0.0762 | acc 0.8983 | pre 0.9167 | recall 0.9167 | f1 0.9167 +Train 295/300, loss 0.0218, time 0.6635 +Val 295/300, loss 0.8317, time 0.0735 | acc 0.8983 | pre 0.9412 | recall 0.8889 | f1 0.9143 +Train 296/300, loss 0.0302, time 0.6277 +Val 296/300, loss 0.8900, time 0.0756 | acc 0.8644 | pre 0.8889 | recall 0.8889 | f1 0.8889 +Train 297/300, loss 0.0165, time 0.7061 +Val 297/300, loss 1.0204, time 0.0741 | acc 0.8814 | pre 0.9143 | recall 0.8889 | f1 0.9014 +Train 298/300, loss 0.0586, time 0.6228 +Val 298/300, loss 1.0560, time 0.0758 | acc 0.8475 | pre 0.9091 | recall 0.8333 | f1 0.8696 +Train 299/300, loss 0.0289, time 0.6332 +Val 299/300, loss 1.1130, time 0.0763 | acc 0.8305 | pre 0.9333 | recall 0.7778 | f1 0.8485 +Train 300/300, loss 0.0139, time 0.6467 +Val 300/300, loss 0.9473, time 0.0763 | acc 0.8475 | pre 0.9091 | recall 0.8333 | f1 0.8696 +best epoch: 115 acc: 0.9492 | Precision: 0.9231 | recall 1.0000 | f1 0.9600 +Total time: 214.6998 +Fold 2 / 5 +GraphTransformer( + (embedding): Linear(in_features=4096, out_features=256, bias=False) + (encoder): GraphTransformerEncoder( + (layers): ModuleList( + (0-2): 3 x TransformerEncoderLayer( + (self_attn): Attention() + (linear1): Linear(in_features=256, out_features=128, bias=True) + (dropout): Dropout(p=0.1, inplace=False) + (linear2): Linear(in_features=128, out_features=256, bias=True) + (norm1): BatchNorm1d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (norm2): BatchNorm1d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (dropout1): Dropout(p=0.1, inplace=False) + (dropout2): Dropout(p=0.1, inplace=False) + ) + ) + ) + (classifier): Sequential( + (0): Linear(in_features=256, out_features=256, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=256, out_features=2, bias=True) + ) +) +Total number of parameters: 3096706 +Extracting 2-hop subgraphs... +Done! +Extracting 2-hop subgraphs... +Done! +Training... +Train 1/300, loss 0.5028, time 0.6857 +Val 1/300, loss 0.6580, time 0.0843 | acc 0.6102 | pre 0.6102 | recall 1.0000 | f1 0.7579 +Train 2/300, loss 0.2778, time 0.6438 +Val 2/300, loss 0.6376, time 0.0772 | acc 0.6102 | pre 0.6102 | recall 1.0000 | f1 0.7579 +Train 3/300, loss 0.2569, time 0.6446 +Val 3/300, loss 0.6188, time 0.0772 | acc 0.6102 | pre 0.6102 | recall 1.0000 | f1 0.7579 +Train 4/300, loss 0.1702, time 0.6378 +Val 4/300, loss 0.5776, time 0.0757 | acc 0.6780 | pre 0.6604 | recall 0.9722 | f1 0.7865 +Train 5/300, loss 0.1615, time 0.6370 +Val 5/300, loss 0.5264, time 0.0770 | acc 0.8475 | pre 0.8857 | recall 0.8611 | f1 0.8732 +Train 6/300, loss 0.1419, time 0.6370 +Val 6/300, loss 0.4659, time 0.0772 | acc 0.7966 | pre 0.8000 | recall 0.8889 | f1 0.8421 +Train 7/300, loss 0.1299, time 0.6202 +Val 7/300, loss 0.4144, time 0.0768 | acc 0.7966 | pre 0.7727 | recall 0.9444 | f1 0.8500 +Train 8/300, loss 0.0832, time 0.6396 +Val 8/300, loss 0.3825, time 0.0769 | acc 0.8305 | pre 0.8250 | recall 0.9167 | f1 0.8684 +Train 9/300, loss 0.0920, time 0.6323 +Val 9/300, loss 0.3827, time 0.0770 | acc 0.8305 | pre 0.9062 | recall 0.8056 | f1 0.8529 +Train 10/300, loss 0.0637, time 0.6311 +Val 10/300, loss 0.4427, time 0.0771 | acc 0.8475 | pre 0.9355 | recall 0.8056 | f1 0.8657 +Train 11/300, loss 0.0562, time 0.6190 +Val 11/300, loss 0.6061, time 0.0769 | acc 0.7797 | pre 0.8485 | recall 0.7778 | f1 0.8116 +Train 12/300, loss 0.0619, time 0.6364 +Val 12/300, loss 0.5458, time 0.0769 | acc 0.8475 | pre 0.8649 | recall 0.8889 | f1 0.8767 +Train 13/300, loss 0.0553, time 0.6198 +Val 13/300, loss 0.4947, time 0.0769 | acc 0.8305 | pre 0.8611 | recall 0.8611 | f1 0.8611 +Train 14/300, loss 0.0525, time 0.6312 +Val 14/300, loss 0.6089, time 0.0768 | acc 0.7966 | pre 0.8333 | recall 0.8333 | f1 0.8333 +Train 15/300, loss 0.0430, time 0.6360 +Val 15/300, loss 0.7476, time 0.0766 | acc 0.8475 | pre 0.9355 | recall 0.8056 | f1 0.8657 +Train 16/300, loss 0.0585, time 0.6271 +Val 16/300, loss 0.7674, time 0.0765 | acc 0.8475 | pre 0.9355 | recall 0.8056 | f1 0.8657 +Train 17/300, loss 0.0724, time 0.6256 +Val 17/300, loss 0.7229, time 0.0763 | acc 0.8475 | pre 0.9091 | recall 0.8333 | f1 0.8696 +Train 18/300, loss 0.0828, time 0.6379 +Val 18/300, loss 0.8662, time 0.0764 | acc 0.8305 | pre 0.9643 | recall 0.7500 | f1 0.8437 +Train 19/300, loss 0.0522, time 0.6197 +Val 19/300, loss 0.6191, time 0.0769 | acc 0.8475 | pre 0.9091 | recall 0.8333 | f1 0.8696 +Train 20/300, loss 0.0503, time 0.6355 +Val 20/300, loss 0.7049, time 0.0771 | acc 0.8136 | pre 0.8788 | recall 0.8056 | f1 0.8406 +Train 21/300, loss 0.0333, time 0.6459 +Val 21/300, loss 0.8793, time 0.0770 | acc 0.8136 | pre 0.9310 | recall 0.7500 | f1 0.8308 +Train 22/300, loss 0.0466, time 0.6463 +Val 22/300, loss 0.7523, time 0.0771 | acc 0.8305 | pre 0.9333 | recall 0.7778 | f1 0.8485 +Train 23/300, loss 0.0561, time 0.6479 +Val 23/300, loss 0.6847, time 0.0771 | acc 0.7797 | pre 0.7949 | recall 0.8611 | f1 0.8267 +Train 24/300, loss 0.0325, time 0.6267 +Val 24/300, loss 0.6128, time 0.0769 | acc 0.7966 | pre 0.9000 | recall 0.7500 | f1 0.8182 +Train 25/300, loss 0.0627, time 0.6245 +Val 25/300, loss 0.6543, time 0.0768 | acc 0.8136 | pre 0.9032 | recall 0.7778 | f1 0.8358 +Train 26/300, loss 0.0545, time 0.6252 +Val 26/300, loss 0.6199, time 0.0769 | acc 0.8305 | pre 0.8611 | recall 0.8611 | f1 0.8611 +Train 27/300, loss 0.0343, time 0.6362 +Val 27/300, loss 0.7037, time 0.0770 | acc 0.8305 | pre 0.8824 | recall 0.8333 | f1 0.8571 +Train 28/300, loss 0.0386, time 0.6435 +Val 28/300, loss 0.7984, time 0.0770 | acc 0.8305 | pre 0.9333 | recall 0.7778 | f1 0.8485 +Train 29/300, loss 0.0636, time 0.6433 +Val 29/300, loss 1.2486, time 0.0772 | acc 0.7627 | pre 0.9583 | recall 0.6389 | f1 0.7667 +Train 30/300, loss 0.0459, time 0.6336 +Val 30/300, loss 1.0474, time 0.0770 | acc 0.7797 | pre 0.9600 | recall 0.6667 | f1 0.7869 +Train 31/300, loss 0.0234, time 0.6349 +Val 31/300, loss 0.6574, time 0.0769 | acc 0.8136 | pre 0.8788 | recall 0.8056 | f1 0.8406 +Train 32/300, loss 0.0398, time 0.6329 +Val 32/300, loss 0.6229, time 0.0777 | acc 0.8475 | pre 0.8649 | recall 0.8889 | f1 0.8767 +Train 33/300, loss 0.0349, time 0.6353 +Val 33/300, loss 0.7358, time 0.0771 | acc 0.8305 | pre 0.9062 | recall 0.8056 | f1 0.8529 +Train 34/300, loss 0.0254, time 0.6417 +Val 34/300, loss 0.8642, time 0.0773 | acc 0.8475 | pre 0.9091 | recall 0.8333 | f1 0.8696 +Train 35/300, loss 0.0153, time 0.6542 +Val 35/300, loss 0.9114, time 0.0771 | acc 0.8475 | pre 0.8857 | recall 0.8611 | f1 0.8732 +Train 36/300, loss 0.0220, time 0.6382 +Val 36/300, loss 1.1893, time 0.0779 | acc 0.7797 | pre 0.7674 | recall 0.9167 | f1 0.8354 +Train 37/300, loss 0.0306, time 0.6402 +Val 37/300, loss 1.3667, time 0.0770 | acc 0.7966 | pre 0.8529 | recall 0.8056 | f1 0.8286 +Train 38/300, loss 0.0483, time 0.6246 +Val 38/300, loss 1.4811, time 0.0777 | acc 0.7797 | pre 0.8710 | recall 0.7500 | f1 0.8060 +Train 39/300, loss 0.0440, time 0.6304 +Val 39/300, loss 1.0113, time 0.0769 | acc 0.8136 | pre 0.9032 | recall 0.7778 | f1 0.8358 +Train 40/300, loss 0.0084, time 0.6243 +Val 40/300, loss 0.8443, time 0.0777 | acc 0.8136 | pre 0.9032 | recall 0.7778 | f1 0.8358 +Train 41/300, loss 0.0164, time 0.6336 +Val 41/300, loss 0.9004, time 0.0769 | acc 0.8305 | pre 0.9333 | recall 0.7778 | f1 0.8485 +Train 42/300, loss 0.0380, time 0.6379 +Val 42/300, loss 0.8119, time 0.0780 | acc 0.8475 | pre 0.9355 | recall 0.8056 | f1 0.8657 +Train 43/300, loss 0.0199, time 0.6340 +Val 43/300, loss 0.7925, time 0.0771 | acc 0.8136 | pre 0.8788 | recall 0.8056 | f1 0.8406 +Train 44/300, loss 0.0079, time 0.6191 +Val 44/300, loss 0.8630, time 0.0772 | acc 0.8475 | pre 0.9355 | recall 0.8056 | f1 0.8657 +Train 45/300, loss 0.0126, time 0.6278 +Val 45/300, loss 0.7856, time 0.0766 | acc 0.8644 | pre 0.9118 | recall 0.8611 | f1 0.8857 +Train 46/300, loss 0.0068, time 0.6482 +Val 46/300, loss 0.7869, time 0.0765 | acc 0.8305 | pre 0.8421 | recall 0.8889 | f1 0.8649 +Train 47/300, loss 0.0087, time 0.6397 +Val 47/300, loss 0.8197, time 0.0771 | acc 0.8305 | pre 0.8611 | recall 0.8611 | f1 0.8611 +Train 48/300, loss 0.0051, time 0.6341 +Val 48/300, loss 0.8540, time 0.0772 | acc 0.8475 | pre 0.9091 | recall 0.8333 | f1 0.8696 +Train 49/300, loss 0.0034, time 0.6486 +Val 49/300, loss 0.8939, time 0.0773 | acc 0.8136 | pre 0.8378 | recall 0.8611 | f1 0.8493 +Train 50/300, loss 0.0070, time 0.6403 +Val 50/300, loss 0.9566, time 0.0770 | acc 0.8136 | pre 0.8378 | recall 0.8611 | f1 0.8493 +Train 51/300, loss 0.0024, time 0.6338 +Val 51/300, loss 1.0068, time 0.0770 | acc 0.8136 | pre 0.8571 | recall 0.8333 | f1 0.8451 +Train 52/300, loss 0.0060, time 0.6328 +Val 52/300, loss 1.0864, time 0.0772 | acc 0.8136 | pre 0.8788 | recall 0.8056 | f1 0.8406 +Train 53/300, loss 0.0104, time 0.6508 +Val 53/300, loss 1.0576, time 0.0833 | acc 0.8136 | pre 0.8788 | recall 0.8056 | f1 0.8406 +Train 54/300, loss 0.0041, time 0.7141 +Val 54/300, loss 1.0847, time 0.0756 | acc 0.7966 | pre 0.8750 | recall 0.7778 | f1 0.8235 +Train 55/300, loss 0.0008, time 0.6227 +Val 55/300, loss 1.1102, time 0.0781 | acc 0.7966 | pre 0.8750 | recall 0.7778 | f1 0.8235 +Train 56/300, loss 0.0017, time 0.7056 +Val 56/300, loss 1.0927, time 0.0759 | acc 0.7966 | pre 0.8750 | recall 0.7778 | f1 0.8235 +Train 57/300, loss 0.0012, time 0.6558 +Val 57/300, loss 1.1034, time 0.0781 | acc 0.7966 | pre 0.8750 | recall 0.7778 | f1 0.8235 +Train 58/300, loss 0.0006, time 0.6661 +Val 58/300, loss 1.1065, time 0.0754 | acc 0.8136 | pre 0.8788 | recall 0.8056 | f1 0.8406 +Train 59/300, loss 0.0009, time 0.6663 +Val 59/300, loss 1.0984, time 0.0770 | acc 0.8136 | pre 0.8788 | recall 0.8056 | f1 0.8406 +Train 60/300, loss 0.0011, time 0.6793 +Val 60/300, loss 1.1134, time 0.0771 | acc 0.7966 | pre 0.8750 | recall 0.7778 | f1 0.8235 +Train 61/300, loss 0.0006, time 0.6451 +Val 61/300, loss 1.1451, time 0.0788 | acc 0.7966 | pre 0.8750 | recall 0.7778 | f1 0.8235 +Train 62/300, loss 0.0014, time 0.6918 +Val 62/300, loss 1.1377, time 0.0758 | acc 0.8305 | pre 0.8824 | recall 0.8333 | f1 0.8571 +Train 63/300, loss 0.0016, time 0.6226 +Val 63/300, loss 1.1700, time 0.0774 | acc 0.7966 | pre 0.8529 | recall 0.8056 | f1 0.8286 +Train 64/300, loss 0.0004, time 0.6683 +Val 64/300, loss 1.2110, time 0.0754 | acc 0.7966 | pre 0.8750 | recall 0.7778 | f1 0.8235 +Train 65/300, loss 0.0005, time 0.6514 +Val 65/300, loss 1.1804, time 0.0780 | acc 0.8136 | pre 0.8788 | recall 0.8056 | f1 0.8406 +Train 66/300, loss 0.0003, time 0.6694 +Val 66/300, loss 1.1461, time 0.0760 | acc 0.8136 | pre 0.8788 | recall 0.8056 | f1 0.8406 +Train 67/300, loss 0.0016, time 0.6397 +Val 67/300, loss 1.1438, time 0.0793 | acc 0.8136 | pre 0.8788 | recall 0.8056 | f1 0.8406 +Train 68/300, loss 0.0006, time 0.6862 +Val 68/300, loss 1.1201, time 0.0757 | acc 0.8136 | pre 0.8788 | recall 0.8056 | f1 0.8406 +Train 69/300, loss 0.0004, time 0.6297 +Val 69/300, loss 1.1265, time 0.0778 | acc 0.8136 | pre 0.8788 | recall 0.8056 | f1 0.8406 +Train 70/300, loss 0.0007, time 0.7105 +Val 70/300, loss 1.1378, time 0.0759 | acc 0.8136 | pre 0.8788 | recall 0.8056 | f1 0.8406 +Train 71/300, loss 0.0003, time 0.6154 +Val 71/300, loss 1.1245, time 0.0762 | acc 0.8475 | pre 0.8857 | recall 0.8611 | f1 0.8732 +Train 72/300, loss 0.0007, time 0.6947 +Val 72/300, loss 1.1546, time 0.0756 | acc 0.8136 | pre 0.8788 | recall 0.8056 | f1 0.8406 +Train 73/300, loss 0.0002, time 0.6487 +Val 73/300, loss 1.1713, time 0.0776 | acc 0.8136 | pre 0.8788 | recall 0.8056 | f1 0.8406 +Train 74/300, loss 0.0004, time 0.6206 +Val 74/300, loss 1.1717, time 0.0773 | acc 0.8475 | pre 0.8857 | recall 0.8611 | f1 0.8732 +Train 75/300, loss 0.0003, time 0.6373 +Val 75/300, loss 1.1860, time 0.0779 | acc 0.8305 | pre 0.8611 | recall 0.8611 | f1 0.8611 +Train 76/300, loss 0.0003, time 0.6868 +Val 76/300, loss 1.2118, time 0.0742 | acc 0.8136 | pre 0.8788 | recall 0.8056 | f1 0.8406 +Train 77/300, loss 0.0002, time 0.6608 +Val 77/300, loss 1.2305, time 0.0784 | acc 0.8136 | pre 0.8788 | recall 0.8056 | f1 0.8406 +Train 78/300, loss 0.0002, time 0.6594 +Val 78/300, loss 1.2657, time 0.0747 | acc 0.7966 | pre 0.8750 | recall 0.7778 | f1 0.8235 +Train 79/300, loss 0.0007, time 0.6091 +Val 79/300, loss 1.3322, time 0.0772 | acc 0.7966 | pre 0.8750 | recall 0.7778 | f1 0.8235 +Train 80/300, loss 0.0005, time 0.6285 +Val 80/300, loss 1.3701, time 0.0781 | acc 0.7966 | pre 0.8750 | recall 0.7778 | f1 0.8235 +Train 81/300, loss 0.0003, time 0.6347 +Val 81/300, loss 1.4026, 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89/300, loss 0.0889, time 0.6443 +Val 89/300, loss 1.7659, time 0.0781 | acc 0.7458 | pre 0.9565 | recall 0.6111 | f1 0.7458 +Train 90/300, loss 0.0748, time 0.6398 +Val 90/300, loss 0.9977, time 0.0780 | acc 0.8305 | pre 0.8824 | recall 0.8333 | f1 0.8571 +Train 91/300, loss 0.0329, time 0.6470 +Val 91/300, loss 0.9915, time 0.0778 | acc 0.7966 | pre 0.8529 | recall 0.8056 | f1 0.8286 +Train 92/300, loss 0.0271, time 0.6522 +Val 92/300, loss 1.1049, time 0.0777 | acc 0.8136 | pre 0.8788 | recall 0.8056 | f1 0.8406 +Train 93/300, loss 0.0431, time 0.6432 +Val 93/300, loss 1.4419, time 0.0779 | acc 0.8305 | pre 0.9062 | recall 0.8056 | f1 0.8529 +Train 94/300, loss 0.0372, time 0.6396 +Val 94/300, loss 1.4158, time 0.0777 | acc 0.7797 | pre 0.8286 | recall 0.8056 | f1 0.8169 +Train 95/300, loss 0.0084, time 0.6511 +Val 95/300, loss 1.3845, time 0.0781 | acc 0.7966 | pre 0.8529 | recall 0.8056 | f1 0.8286 +Train 96/300, loss 0.0059, time 0.6448 +Val 96/300, loss 1.3602, time 0.0777 | acc 0.7966 | pre 0.8750 | recall 0.7778 | f1 0.8235 +Train 97/300, loss 0.0046, time 0.6397 +Val 97/300, loss 1.4415, time 0.0778 | acc 0.7627 | pre 0.8235 | recall 0.7778 | f1 0.8000 +Train 98/300, loss 0.0011, time 0.6352 +Val 98/300, loss 1.4427, time 0.0778 | acc 0.7797 | pre 0.8286 | recall 0.8056 | f1 0.8169 +Train 99/300, loss 0.0030, time 0.6393 +Val 99/300, loss 1.4638, time 0.0765 | acc 0.7627 | pre 0.8235 | recall 0.7778 | f1 0.8000 +Train 100/300, loss 0.0008, time 0.6292 +Val 100/300, loss 1.3901, time 0.0765 | acc 0.7797 | pre 0.8286 | recall 0.8056 | f1 0.8169 +Train 101/300, loss 0.0013, time 0.6266 +Val 101/300, loss 1.3772, time 0.0761 | acc 0.7797 | pre 0.8485 | recall 0.7778 | f1 0.8116 +Train 102/300, loss 0.0009, time 0.6386 +Val 102/300, loss 1.4197, time 0.0762 | acc 0.7797 | pre 0.8485 | recall 0.7778 | f1 0.8116 +Train 103/300, loss 0.0012, time 0.6442 +Val 103/300, loss 1.4605, time 0.0773 | acc 0.7797 | pre 0.8485 | recall 0.7778 | f1 0.8116 +Train 104/300, loss 0.0036, time 0.6425 +Val 104/300, loss 1.4655, time 0.0779 | acc 0.7966 | pre 0.8750 | recall 0.7778 | f1 0.8235 +Train 105/300, loss 0.0019, time 0.6400 +Val 105/300, loss 1.4003, time 0.0786 | acc 0.7966 | pre 0.8750 | recall 0.7778 | f1 0.8235 +Train 106/300, loss 0.0004, time 0.6469 +Val 106/300, loss 1.2717, time 0.0777 | acc 0.8136 | pre 0.8788 | recall 0.8056 | f1 0.8406 +Train 107/300, loss 0.0007, time 0.6406 +Val 107/300, loss 1.2078, time 0.0775 | acc 0.8305 | pre 0.8824 | recall 0.8333 | f1 0.8571 +Train 108/300, loss 0.0043, time 0.6281 +Val 108/300, loss 1.2097, time 0.0775 | acc 0.8136 | pre 0.8378 | recall 0.8611 | f1 0.8493 +Train 109/300, loss 0.0008, time 0.6416 +Val 109/300, loss 1.2743, time 0.0774 | acc 0.8136 | pre 0.8378 | recall 0.8611 | f1 0.8493 +Train 110/300, loss 0.0006, time 0.6398 +Val 110/300, loss 1.3177, time 0.0774 | acc 0.8136 | pre 0.8378 | recall 0.8611 | f1 0.8493 +Train 111/300, loss 0.0008, time 0.6418 +Val 111/300, loss 1.3468, time 0.0776 | acc 0.7966 | pre 0.8158 | recall 0.8611 | f1 0.8378 +Train 112/300, loss 0.0012, time 0.6571 +Val 112/300, loss 1.3379, time 0.0777 | acc 0.7966 | pre 0.8158 | recall 0.8611 | f1 0.8378 +Train 113/300, loss 0.0004, time 0.6495 +Val 113/300, loss 1.3334, time 0.0775 | acc 0.7966 | pre 0.8158 | recall 0.8611 | f1 0.8378 +Train 114/300, loss 0.0075, time 0.6449 +Val 114/300, loss 1.4257, time 0.0774 | acc 0.8136 | pre 0.8571 | recall 0.8333 | f1 0.8451 +Train 115/300, loss 0.0158, time 0.6395 +Val 115/300, loss 1.4562, time 0.0761 | acc 0.8475 | pre 0.8857 | recall 0.8611 | f1 0.8732 +Train 116/300, loss 0.0382, time 0.6349 +Val 116/300, loss 1.1217, time 0.0767 | acc 0.8475 | pre 0.8857 | recall 0.8611 | f1 0.8732 +Train 117/300, loss 0.0443, time 0.6309 +Val 117/300, loss 0.9651, time 0.0767 | acc 0.8136 | pre 0.8571 | recall 0.8333 | f1 0.8451 +Train 118/300, loss 0.0206, time 0.6447 +Val 118/300, loss 0.9056, time 0.0759 | acc 0.8136 | pre 0.8788 | recall 0.8056 | f1 0.8406 +Train 119/300, loss 0.0075, time 0.6325 +Val 119/300, loss 0.8993, time 0.0765 | acc 0.8136 | pre 0.8788 | recall 0.8056 | f1 0.8406 +Train 120/300, loss 0.0071, time 0.6349 +Val 120/300, loss 0.8416, time 0.0773 | acc 0.8136 | pre 0.8788 | recall 0.8056 | f1 0.8406 +Train 121/300, loss 0.0047, time 0.6378 +Val 121/300, loss 0.9064, time 0.0764 | acc 0.8136 | pre 0.8378 | recall 0.8611 | f1 0.8493 +Train 122/300, loss 0.0058, time 0.6424 +Val 122/300, loss 0.9611, time 0.0769 | acc 0.8136 | pre 0.8378 | recall 0.8611 | f1 0.8493 +Train 123/300, loss 0.0028, time 0.6304 +Val 123/300, loss 1.0084, time 0.0763 | acc 0.8136 | pre 0.8378 | recall 0.8611 | f1 0.8493 +Train 124/300, loss 0.0033, time 0.6294 +Val 124/300, loss 1.0296, time 0.0771 | acc 0.8475 | pre 0.8857 | recall 0.8611 | f1 0.8732 +Train 125/300, loss 0.0074, time 0.6463 +Val 125/300, loss 0.9840, time 0.0763 | acc 0.8475 | pre 0.8857 | recall 0.8611 | f1 0.8732 +Train 126/300, loss 0.0091, time 0.6279 +Val 126/300, loss 0.9968, 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0.8533 +Train 134/300, loss 0.0714, time 0.6697 +Val 134/300, loss 1.0659, time 0.0789 | acc 0.8136 | pre 0.8205 | recall 0.8889 | f1 0.8533 +Train 135/300, loss 0.0524, time 0.6818 +Val 135/300, loss 0.9676, time 0.0791 | acc 0.8136 | pre 0.8571 | recall 0.8333 | f1 0.8451 +Train 136/300, loss 0.0328, time 0.6550 +Val 136/300, loss 0.9523, time 0.0788 | acc 0.8305 | pre 0.8824 | recall 0.8333 | f1 0.8571 +Train 137/300, loss 0.0329, time 0.6496 +Val 137/300, loss 1.0786, time 0.0788 | acc 0.7966 | pre 0.8529 | recall 0.8056 | f1 0.8286 +Train 138/300, loss 0.0131, time 0.6447 +Val 138/300, loss 1.2164, time 0.0785 | acc 0.7966 | pre 0.8529 | recall 0.8056 | f1 0.8286 +Train 139/300, loss 0.0045, time 0.6413 +Val 139/300, loss 1.2015, time 0.0784 | acc 0.8305 | pre 0.9062 | recall 0.8056 | f1 0.8529 +Train 140/300, loss 0.0041, time 0.6614 +Val 140/300, loss 1.1886, time 0.0790 | acc 0.8475 | pre 0.9091 | recall 0.8333 | f1 0.8696 +Train 141/300, loss 0.0045, time 0.6634 +Val 141/300, loss 1.2419, time 0.0798 | acc 0.8475 | pre 0.9091 | recall 0.8333 | f1 0.8696 +Train 142/300, loss 0.0227, time 0.7756 +Val 142/300, loss 1.2368, time 0.0791 | acc 0.8136 | pre 0.8571 | recall 0.8333 | f1 0.8451 +Train 143/300, loss 0.0124, time 0.6806 +Val 143/300, loss 1.3499, time 0.0804 | acc 0.8136 | pre 0.8571 | recall 0.8333 | f1 0.8451 +Train 144/300, loss 0.0132, time 0.7107 +Val 144/300, loss 1.3940, time 0.0799 | acc 0.8136 | pre 0.8571 | recall 0.8333 | f1 0.8451 +Train 145/300, loss 0.0094, time 0.6771 +Val 145/300, loss 1.4203, time 0.0802 | acc 0.7966 | pre 0.8529 | recall 0.8056 | f1 0.8286 +Train 146/300, loss 0.0300, time 0.7145 +Val 146/300, loss 1.7222, time 0.0789 | acc 0.8305 | pre 0.9333 | recall 0.7778 | f1 0.8485 +Train 147/300, loss 0.0055, time 0.6991 +Val 147/300, loss 2.1782, time 0.0806 | acc 0.8136 | pre 0.9630 | recall 0.7222 | f1 0.8254 +Train 148/300, loss 0.0035, time 0.6959 +Val 148/300, loss 1.8186, time 0.0789 | acc 0.8305 | pre 0.9333 | recall 0.7778 | f1 0.8485 +Train 149/300, loss 0.0017, time 0.6699 +Val 149/300, loss 1.5431, time 0.0792 | acc 0.8475 | pre 0.9355 | recall 0.8056 | f1 0.8657 +Train 150/300, loss 0.0039, time 0.6767 +Val 150/300, loss 1.3545, time 0.0801 | acc 0.8305 | pre 0.8824 | recall 0.8333 | f1 0.8571 +Train 151/300, loss 0.0139, time 0.6899 +Val 151/300, loss 1.0958, time 0.0875 | acc 0.8136 | pre 0.8571 | recall 0.8333 | f1 0.8451 +Train 152/300, loss 0.0368, time 0.8762 +Val 152/300, loss 1.7305, time 0.1119 | acc 0.8305 | pre 0.9062 | recall 0.8056 | f1 0.8529 +Train 153/300, loss 0.0047, time 0.7496 +Val 153/300, loss 1.9072, time 0.0853 | acc 0.8305 | pre 0.9333 | recall 0.7778 | f1 0.8485 +Train 154/300, loss 0.0551, time 0.7347 +Val 154/300, loss 1.3763, time 0.0831 | acc 0.8305 | pre 0.8824 | recall 0.8333 | f1 0.8571 +Train 155/300, loss 0.0047, time 0.6872 +Val 155/300, loss 1.1303, time 0.1815 | acc 0.7797 | pre 0.8710 | recall 0.7500 | f1 0.8060 +Train 156/300, loss 0.0510, time 0.5869 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0.8857 | recall 0.8611 | f1 0.8732 +Train 164/300, loss 0.0007, time 0.6503 +Val 164/300, loss 0.9966, time 0.0790 | acc 0.8475 | pre 0.8857 | recall 0.8611 | f1 0.8732 +Train 165/300, loss 0.0015, time 0.6673 +Val 165/300, loss 1.0399, time 0.0791 | acc 0.8475 | pre 0.8857 | recall 0.8611 | f1 0.8732 +Train 166/300, loss 0.0020, time 0.6585 +Val 166/300, loss 1.0645, time 0.0783 | acc 0.8136 | pre 0.8571 | recall 0.8333 | f1 0.8451 +Train 167/300, loss 0.0006, time 0.6655 +Val 167/300, loss 1.0818, time 0.0797 | acc 0.8136 | pre 0.8571 | recall 0.8333 | f1 0.8451 +Train 168/300, loss 0.0011, time 0.6582 +Val 168/300, loss 1.1097, time 0.0783 | acc 0.8136 | pre 0.8571 | recall 0.8333 | f1 0.8451 +Train 169/300, loss 0.0024, time 0.6798 +Val 169/300, loss 1.1450, time 0.0799 | acc 0.8475 | pre 0.9091 | recall 0.8333 | f1 0.8696 +Train 170/300, loss 0.0144, time 0.6482 +Val 170/300, loss 1.1175, time 0.0786 | acc 0.8305 | pre 0.8824 | recall 0.8333 | f1 0.8571 +Train 171/300, loss 0.0073, time 0.6622 +Val 171/300, loss 0.9656, time 0.0793 | acc 0.8475 | pre 0.9091 | recall 0.8333 | f1 0.8696 +Train 172/300, loss 0.0261, time 0.6727 +Val 172/300, loss 0.9044, time 0.0787 | acc 0.8305 | pre 0.8824 | recall 0.8333 | f1 0.8571 +Train 173/300, loss 0.0085, time 0.6719 +Val 173/300, loss 0.9570, time 0.0789 | acc 0.8644 | pre 0.9375 | recall 0.8333 | f1 0.8824 +Train 174/300, loss 0.0035, time 0.6689 +Val 174/300, loss 1.0165, time 0.0788 | acc 0.8305 | pre 0.9062 | recall 0.8056 | f1 0.8529 +Train 175/300, loss 0.0010, time 0.6759 +Val 175/300, loss 1.0887, time 0.0796 | acc 0.8305 | pre 0.9062 | recall 0.8056 | f1 0.8529 +Train 176/300, loss 0.0015, time 0.6711 +Val 176/300, loss 1.1378, time 0.0809 | acc 0.8305 | pre 0.9062 | recall 0.8056 | f1 0.8529 +Train 177/300, loss 0.0091, time 0.6690 +Val 177/300, loss 1.1755, time 0.0797 | acc 0.8136 | pre 0.8788 | recall 0.8056 | f1 0.8406 +Train 178/300, loss 0.0050, time 0.6762 +Val 178/300, loss 1.4955, time 0.0793 | acc 0.8305 | pre 0.9333 | recall 0.7778 | f1 0.8485 +Train 179/300, loss 0.0042, time 0.6833 +Val 179/300, loss 1.3621, time 0.0802 | acc 0.8305 | pre 0.9333 | recall 0.7778 | f1 0.8485 +Train 180/300, loss 0.0171, time 0.6751 +Val 180/300, loss 1.1722, time 0.0795 | acc 0.8305 | pre 0.9062 | recall 0.8056 | f1 0.8529 +Train 181/300, loss 0.0031, time 0.6814 +Val 181/300, loss 0.9267, time 0.0789 | acc 0.7627 | pre 0.7895 | recall 0.8333 | f1 0.8108 +Train 182/300, loss 0.0191, time 0.6719 +Val 182/300, loss 0.8153, time 0.0788 | acc 0.8305 | pre 0.8611 | recall 0.8611 | f1 0.8611 +Train 183/300, loss 0.0021, time 0.6716 +Val 183/300, loss 0.8350, time 0.0793 | acc 0.8475 | pre 0.8857 | recall 0.8611 | f1 0.8732 +Train 184/300, loss 0.0167, time 0.6835 +Val 184/300, loss 0.8832, time 0.0799 | acc 0.8305 | pre 0.8611 | recall 0.8611 | f1 0.8611 +Train 185/300, loss 0.0027, time 0.6760 +Val 185/300, loss 1.1800, time 0.0795 | acc 0.8136 | pre 0.8049 | recall 0.9167 | f1 0.8571 +Train 186/300, loss 0.0016, time 0.6243 +Val 186/300, loss 1.3012, time 0.0790 | acc 0.8136 | pre 0.8049 | recall 0.9167 | f1 0.8571 +Train 187/300, loss 0.0044, time 0.6822 +Val 187/300, loss 1.2966, time 0.0787 | acc 0.7966 | pre 0.8000 | recall 0.8889 | f1 0.8421 +Train 188/300, loss 0.0084, time 0.6823 +Val 188/300, loss 1.2456, time 0.0788 | acc 0.7797 | pre 0.7949 | recall 0.8611 | f1 0.8267 +Train 189/300, loss 0.0150, time 0.6760 +Val 189/300, loss 1.3649, time 0.0795 | acc 0.7797 | pre 0.8108 | recall 0.8333 | f1 0.8219 +Train 190/300, loss 0.0101, time 0.6658 +Val 190/300, loss 1.3073, time 0.0797 | acc 0.7288 | pre 0.7500 | recall 0.8333 | f1 0.7895 +Train 191/300, loss 0.0384, time 0.6712 +Val 191/300, loss 1.1319, time 0.0792 | acc 0.7797 | pre 0.8108 | recall 0.8333 | f1 0.8219 +Train 192/300, loss 0.0352, time 0.6715 +Val 192/300, loss 1.1679, time 0.0802 | acc 0.8644 | pre 0.9375 | recall 0.8333 | f1 0.8824 +Train 193/300, loss 0.0109, time 0.6649 +Val 193/300, loss 1.3577, 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0.8333 | f1 0.8696 +Train 216/300, loss 0.0007, time 0.6772 +Val 216/300, loss 1.4766, time 0.0801 | acc 0.8475 | pre 0.9091 | recall 0.8333 | f1 0.8696 +Train 217/300, loss 0.0020, time 0.6642 +Val 217/300, loss 1.5052, time 0.0801 | acc 0.8475 | pre 0.9091 | recall 0.8333 | f1 0.8696 +Train 218/300, loss 0.0002, time 0.6567 +Val 218/300, loss 1.5126, time 0.0804 | acc 0.8305 | pre 0.8824 | recall 0.8333 | f1 0.8571 +Train 219/300, loss 0.0009, time 0.6468 +Val 219/300, loss 1.5463, time 0.0798 | acc 0.8305 | pre 0.8824 | recall 0.8333 | f1 0.8571 +Train 220/300, loss 0.0027, time 0.6468 +Val 220/300, loss 1.6183, time 0.0759 | acc 0.8305 | pre 0.8824 | recall 0.8333 | f1 0.8571 +Train 221/300, loss 0.0004, time 0.6989 +Val 221/300, loss 1.6490, time 0.0803 | acc 0.8305 | pre 0.8824 | recall 0.8333 | f1 0.8571 +Train 222/300, loss 0.0003, time 0.6502 +Val 222/300, loss 1.6518, time 0.0787 | acc 0.8305 | pre 0.8824 | recall 0.8333 | f1 0.8571 +Train 223/300, loss 0.0018, time 0.6800 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0.9375 | recall 0.8333 | f1 0.8824 +Train 231/300, loss 0.0011, time 0.6181 +Val 231/300, loss 1.7499, time 0.0849 | acc 0.8644 | pre 0.9375 | recall 0.8333 | f1 0.8824 +Train 232/300, loss 0.0055, time 0.6855 +Val 232/300, loss 1.6672, time 0.0789 | acc 0.8644 | pre 0.9375 | recall 0.8333 | f1 0.8824 +Train 233/300, loss 0.0004, time 0.6361 +Val 233/300, loss 1.3537, time 0.0781 | acc 0.8475 | pre 0.9091 | recall 0.8333 | f1 0.8696 +Train 234/300, loss 0.0066, time 0.6429 +Val 234/300, loss 1.4811, time 0.0751 | acc 0.8644 | pre 0.9375 | recall 0.8333 | f1 0.8824 +Train 235/300, loss 0.0038, time 0.6525 +Val 235/300, loss 1.5191, time 0.0778 | acc 0.8475 | pre 0.9091 | recall 0.8333 | f1 0.8696 +Train 236/300, loss 0.0012, time 0.6830 +Val 236/300, loss 1.4958, time 0.0742 | acc 0.8644 | pre 0.9375 | recall 0.8333 | f1 0.8824 +Train 237/300, loss 0.0019, time 0.6255 +Val 237/300, loss 1.5136, time 0.0772 | acc 0.8644 | pre 0.9375 | recall 0.8333 | f1 0.8824 +Train 238/300, loss 0.0023, time 0.6996 +Val 238/300, loss 1.5536, time 0.0749 | acc 0.8644 | pre 0.9375 | recall 0.8333 | f1 0.8824 +Train 239/300, loss 0.0004, time 0.6204 +Val 239/300, loss 1.5091, time 0.0763 | acc 0.8644 | pre 0.9375 | recall 0.8333 | f1 0.8824 +Train 240/300, loss 0.0008, time 0.6633 +Val 240/300, loss 1.5566, time 0.0766 | acc 0.8644 | pre 0.9375 | recall 0.8333 | f1 0.8824 +Train 241/300, loss 0.0005, time 0.6373 +Val 241/300, loss 1.5026, time 0.0780 | acc 0.8475 | pre 0.9091 | recall 0.8333 | f1 0.8696 +Train 242/300, loss 0.0051, time 0.6409 +Val 242/300, loss 1.5745, time 0.0780 | acc 0.8475 | pre 0.9091 | recall 0.8333 | f1 0.8696 +Train 243/300, loss 0.0023, time 0.6424 +Val 243/300, loss 1.6285, time 0.0784 | acc 0.8136 | pre 0.8571 | recall 0.8333 | f1 0.8451 +Train 244/300, loss 0.0026, time 0.6288 +Val 244/300, loss 1.8602, time 0.0784 | acc 0.8305 | pre 0.8824 | recall 0.8333 | f1 0.8571 +Train 245/300, loss 0.0044, time 0.6351 +Val 245/300, loss 1.9537, time 0.0782 | acc 0.8475 | pre 0.9091 | recall 0.8333 | f1 0.8696 +Train 246/300, loss 0.0016, time 0.6538 +Val 246/300, loss 2.0068, time 0.0769 | acc 0.8475 | pre 0.9091 | recall 0.8333 | f1 0.8696 +Train 247/300, loss 0.0048, time 0.6358 +Val 247/300, loss 1.9295, time 0.0879 | acc 0.8475 | pre 0.9091 | recall 0.8333 | f1 0.8696 +Train 248/300, loss 0.0063, time 0.6505 +Val 248/300, loss 1.8390, time 0.0761 | acc 0.8475 | pre 0.9091 | recall 0.8333 | f1 0.8696 +Train 249/300, loss 0.0186, time 0.6140 +Val 249/300, loss 1.9641, time 0.0765 | acc 0.8475 | pre 0.9091 | recall 0.8333 | f1 0.8696 +Train 250/300, loss 0.0583, time 0.6221 +Val 250/300, loss 2.8090, time 0.0775 | acc 0.7797 | pre 0.8710 | recall 0.7500 | f1 0.8060 +Train 251/300, loss 0.0566, time 0.6230 +Val 251/300, loss 2.8482, time 0.0779 | acc 0.7966 | pre 0.9286 | recall 0.7222 | f1 0.8125 +Train 252/300, loss 0.0277, time 0.6513 +Val 252/300, loss 2.2722, time 0.0786 | acc 0.7966 | pre 0.9286 | recall 0.7222 | f1 0.8125 +Train 253/300, loss 0.0518, time 0.6466 +Val 253/300, loss 1.3717, time 0.0788 | acc 0.8136 | pre 0.9032 | recall 0.7778 | f1 0.8358 +Train 254/300, loss 0.0263, time 0.6334 +Val 254/300, loss 1.0566, time 0.0785 | acc 0.8475 | pre 0.8857 | recall 0.8611 | f1 0.8732 +Train 255/300, loss 0.0301, time 0.6396 +Val 255/300, loss 0.9327, time 0.0787 | acc 0.8136 | pre 0.8378 | recall 0.8611 | f1 0.8493 +Train 256/300, loss 0.0215, time 0.6424 +Val 256/300, loss 1.0078, time 0.0785 | acc 0.8305 | pre 0.9333 | recall 0.7778 | f1 0.8485 +Train 257/300, loss 0.0407, time 0.6268 +Val 257/300, loss 1.3266, time 0.0786 | acc 0.8136 | pre 0.9032 | recall 0.7778 | f1 0.8358 +Train 258/300, loss 0.0435, time 0.6292 +Val 258/300, loss 1.6346, time 0.0787 | acc 0.7966 | pre 0.9286 | recall 0.7222 | f1 0.8125 +Train 259/300, loss 0.0367, time 0.6385 +Val 259/300, loss 1.1495, time 0.0787 | acc 0.8305 | pre 0.9643 | recall 0.7500 | f1 0.8437 +Train 260/300, loss 0.0828, time 0.6334 +Val 260/300, loss 1.1181, 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0.8767 +Train 268/300, loss 0.0036, time 0.6188 +Val 268/300, loss 0.7244, time 0.0787 | acc 0.8305 | pre 0.8611 | recall 0.8611 | f1 0.8611 +Train 269/300, loss 0.0030, time 0.6169 +Val 269/300, loss 0.7919, time 0.0780 | acc 0.8305 | pre 0.8611 | recall 0.8611 | f1 0.8611 +Train 270/300, loss 0.0022, time 0.6342 +Val 270/300, loss 0.8136, time 0.0792 | acc 0.8305 | pre 0.8824 | recall 0.8333 | f1 0.8571 +Train 271/300, loss 0.0006, time 0.6358 +Val 271/300, loss 0.8314, time 0.0757 | acc 0.8475 | pre 0.8857 | recall 0.8611 | f1 0.8732 +Train 272/300, loss 0.0013, time 0.6191 +Val 272/300, loss 0.9060, time 0.0766 | acc 0.8475 | pre 0.8857 | recall 0.8611 | f1 0.8732 +Train 273/300, loss 0.0026, time 0.6532 +Val 273/300, loss 1.1998, time 0.0768 | acc 0.7966 | pre 0.7857 | recall 0.9167 | f1 0.8462 +Train 274/300, loss 0.0108, time 0.6384 +Val 274/300, loss 4.8103, time 0.0768 | acc 0.5932 | pre 0.6071 | recall 0.9444 | f1 0.7391 +Train 275/300, loss 0.0444, time 0.6234 +Val 275/300, 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0.8056 | f1 0.8657 +Train 283/300, loss 0.0565, time 0.6268 +Val 283/300, loss 1.2381, time 0.0768 | acc 0.8305 | pre 0.9062 | recall 0.8056 | f1 0.8529 +Train 284/300, loss 0.0474, time 0.6328 +Val 284/300, loss 1.2069, time 0.0769 | acc 0.8475 | pre 0.9091 | recall 0.8333 | f1 0.8696 +Train 285/300, loss 0.0324, time 0.6346 +Val 285/300, loss 1.4788, time 0.0768 | acc 0.7797 | pre 0.7949 | recall 0.8611 | f1 0.8267 +Train 286/300, loss 0.0194, time 0.6257 +Val 286/300, loss 1.7395, time 0.0766 | acc 0.7797 | pre 0.7949 | recall 0.8611 | f1 0.8267 +Train 287/300, loss 0.0119, time 0.6307 +Val 287/300, loss 1.7270, time 0.0785 | acc 0.8475 | pre 0.9655 | recall 0.7778 | f1 0.8615 +Train 288/300, loss 0.0162, time 0.5786 +Val 288/300, loss 1.7123, time 0.0776 | acc 0.8644 | pre 0.9375 | recall 0.8333 | f1 0.8824 +Train 289/300, loss 0.0032, time 0.6090 +Val 289/300, loss 1.7638, time 0.0775 | acc 0.8136 | pre 0.9032 | recall 0.7778 | f1 0.8358 +Train 290/300, loss 0.0278, time 0.6223 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0.8889 | recall 0.8889 | f1 0.8889 +Train 298/300, loss 0.0073, time 0.6445 +Val 298/300, loss 0.9913, time 0.0790 | acc 0.8814 | pre 0.9143 | recall 0.8889 | f1 0.9014 +Train 299/300, loss 0.0053, time 0.7056 +Val 299/300, loss 1.0371, time 0.0745 | acc 0.8644 | pre 0.9118 | recall 0.8611 | f1 0.8857 +Train 300/300, loss 0.0030, time 0.6072 +Val 300/300, loss 1.0560, time 0.0766 | acc 0.8983 | pre 0.9688 | recall 0.8611 | f1 0.9118 +best epoch: 299 acc: 0.8983 | Precision: 0.9688 | recall 0.8611 | f1 0.9118 +Total time: 219.2558 +Fold 3 / 5 +GraphTransformer( + (embedding): Linear(in_features=4096, out_features=256, bias=False) + (encoder): GraphTransformerEncoder( + (layers): ModuleList( + (0-2): 3 x TransformerEncoderLayer( + (self_attn): Attention() + (linear1): Linear(in_features=256, out_features=128, bias=True) + (dropout): Dropout(p=0.1, inplace=False) + (linear2): Linear(in_features=128, out_features=256, bias=True) + (norm1): BatchNorm1d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (norm2): BatchNorm1d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (dropout1): Dropout(p=0.1, inplace=False) + (dropout2): Dropout(p=0.1, inplace=False) + ) + ) + ) + (classifier): Sequential( + (0): Linear(in_features=256, out_features=256, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=256, out_features=2, bias=True) + ) +) +Total number of parameters: 3096706 +Extracting 2-hop subgraphs... +Done! +Extracting 2-hop subgraphs... +Done! +Training... +Train 1/300, loss 0.5005, time 0.6455 +Val 1/300, loss 0.6662, time 0.0764 | acc 0.6780 | pre 0.6604 | recall 0.9722 | f1 0.7865 +Train 2/300, loss 0.2702, time 0.6247 +Val 2/300, loss 0.6464, time 0.0754 | acc 0.6610 | pre 0.6429 | recall 1.0000 | f1 0.7826 +Train 3/300, loss 0.2198, time 0.6432 +Val 3/300, loss 0.6192, time 0.0763 | acc 0.7288 | pre 0.7174 | recall 0.9167 | f1 0.8049 +Train 4/300, loss 0.1788, time 0.6776 +Val 4/300, loss 0.5698, time 0.0752 | acc 0.7797 | pre 0.7447 | recall 0.9722 | f1 0.8434 +Train 5/300, loss 0.1437, time 0.6344 +Val 5/300, loss 0.5202, time 0.0763 | acc 0.7627 | pre 0.7500 | recall 0.9167 | f1 0.8250 +Train 6/300, loss 0.1110, time 0.6867 +Val 6/300, loss 0.4680, time 0.0752 | acc 0.7458 | pre 0.7561 | recall 0.8611 | f1 0.8052 +Train 7/300, loss 0.0823, time 0.6421 +Val 7/300, loss 0.4065, time 0.0779 | acc 0.7458 | pre 0.7692 | recall 0.8333 | f1 0.8000 +Train 8/300, loss 0.0637, time 0.6388 +Val 8/300, loss 0.3854, time 0.0767 | acc 0.7458 | pre 0.7692 | recall 0.8333 | f1 0.8000 +Train 9/300, loss 0.0410, time 0.6301 +Val 9/300, loss 0.4925, time 0.0780 | acc 0.7627 | pre 0.7895 | recall 0.8333 | f1 0.8108 +Train 10/300, loss 0.0364, time 0.6611 +Val 10/300, loss 0.6352, time 0.0737 | acc 0.7797 | pre 0.8286 | recall 0.8056 | f1 0.8169 +Train 11/300, loss 0.0297, time 0.6458 +Val 11/300, loss 0.7535, time 0.0779 | acc 0.7797 | pre 0.8286 | recall 0.8056 | f1 0.8169 +Train 12/300, loss 0.0238, time 0.6878 +Val 12/300, loss 0.8358, time 0.0737 | acc 0.7966 | pre 0.8333 | recall 0.8333 | f1 0.8333 +Train 13/300, loss 0.0310, time 0.6363 +Val 13/300, loss 0.8576, time 0.0774 | acc 0.7797 | pre 0.7805 | recall 0.8889 | f1 0.8312 +Train 14/300, loss 0.0197, time 0.6529 +Val 14/300, loss 0.9564, time 0.0716 | acc 0.7966 | pre 0.7857 | recall 0.9167 | f1 0.8462 +Train 15/300, loss 0.0246, time 0.5401 +Val 15/300, loss 1.0848, time 0.0754 | acc 0.7797 | pre 0.7674 | recall 0.9167 | f1 0.8354 +Train 16/300, loss 0.0397, time 0.5952 +Val 16/300, loss 1.2327, time 0.0730 | acc 0.7797 | pre 0.7949 | recall 0.8611 | f1 0.8267 +Train 17/300, loss 0.0496, time 0.6236 +Val 17/300, loss 0.8553, time 0.0754 | acc 0.7966 | pre 0.8529 | recall 0.8056 | f1 0.8286 +Train 18/300, loss 0.0496, time 0.6955 +Val 18/300, loss 1.0966, time 0.0716 | acc 0.7966 | pre 0.8529 | recall 0.8056 | f1 0.8286 +Train 19/300, loss 0.0367, time 0.5708 +Val 19/300, loss 1.2896, time 0.0730 | acc 0.7458 | pre 0.7692 | recall 0.8333 | f1 0.8000 +Train 20/300, loss 0.0172, time 0.6907 +Val 20/300, loss 1.2948, time 0.0717 | acc 0.7288 | pre 0.7632 | recall 0.8056 | f1 0.7838 +Train 21/300, loss 0.0120, time 0.6302 +Val 21/300, loss 1.3318, time 0.0754 | acc 0.7797 | pre 0.7949 | recall 0.8611 | f1 0.8267 +Train 22/300, loss 0.0193, time 0.6406 +Val 22/300, loss 1.3031, time 0.0751 | acc 0.7797 | pre 0.7949 | recall 0.8611 | f1 0.8267 +Train 23/300, loss 0.0121, time 0.6394 +Val 23/300, loss 1.3009, time 0.0757 | acc 0.7627 | pre 0.7895 | recall 0.8333 | f1 0.8108 +Train 24/300, loss 0.0076, time 0.6499 +Val 24/300, loss 1.2907, time 0.0751 | acc 0.7797 | pre 0.7949 | recall 0.8611 | f1 0.8267 +Train 25/300, loss 0.0112, time 0.6487 +Val 25/300, loss 1.3124, time 0.0756 | acc 0.7627 | pre 0.7750 | recall 0.8611 | f1 0.8158 +Train 26/300, loss 0.0037, time 0.6463 +Val 26/300, loss 1.2953, time 0.0761 | acc 0.7458 | pre 0.7561 | recall 0.8611 | f1 0.8052 +Train 27/300, loss 0.0024, time 0.6344 +Val 27/300, loss 1.4529, time 0.0755 | acc 0.7458 | pre 0.7561 | recall 0.8611 | f1 0.8052 +Train 28/300, loss 0.0015, time 0.6389 +Val 28/300, loss 1.4614, time 0.0760 | acc 0.7458 | pre 0.7561 | recall 0.8611 | f1 0.8052 +Train 29/300, loss 0.0013, time 0.6327 +Val 29/300, loss 1.4991, time 0.0768 | acc 0.7627 | pre 0.8056 | recall 0.8056 | f1 0.8056 +Train 30/300, loss 0.0025, time 0.6586 +Val 30/300, loss 1.6070, time 0.0780 | acc 0.7627 | pre 0.7750 | recall 0.8611 | f1 0.8158 +Train 31/300, loss 0.0025, time 0.6553 +Val 31/300, loss 1.7464, time 0.0775 | acc 0.7627 | pre 0.7619 | recall 0.8889 | f1 0.8205 +Train 32/300, loss 0.0012, time 0.6398 +Val 32/300, loss 1.8133, time 0.0764 | acc 0.7627 | pre 0.7619 | recall 0.8889 | f1 0.8205 +Train 33/300, loss 0.0011, time 0.6432 +Val 33/300, loss 1.9080, time 0.0777 | acc 0.7627 | pre 0.7619 | recall 0.8889 | f1 0.8205 +Train 34/300, loss 0.0044, time 0.6410 +Val 34/300, loss 1.7885, time 0.0754 | acc 0.7797 | pre 0.7949 | recall 0.8611 | f1 0.8267 +Train 35/300, loss 0.0013, time 0.6391 +Val 35/300, loss 1.7300, time 0.0744 | acc 0.7966 | pre 0.8158 | recall 0.8611 | f1 0.8378 +Train 36/300, loss 0.0029, time 0.6433 +Val 36/300, loss 1.6432, time 0.0758 | acc 0.7966 | pre 0.8158 | recall 0.8611 | f1 0.8378 +Train 37/300, loss 0.0055, time 0.6456 +Val 37/300, loss 2.1213, time 0.0758 | acc 0.7797 | pre 0.8485 | recall 0.7778 | f1 0.8116 +Train 38/300, loss 0.1683, time 0.6578 +Val 38/300, loss 1.4191, time 0.0747 | acc 0.7458 | pre 0.8387 | recall 0.7222 | f1 0.7761 +Train 39/300, loss 0.0926, time 0.6481 +Val 39/300, loss 1.6493, time 0.0744 | acc 0.6780 | pre 0.6604 | recall 0.9722 | f1 0.7865 +Train 40/300, loss 0.1051, time 0.6412 +Val 40/300, loss 1.4471, time 0.0745 | acc 0.7627 | pre 0.8438 | recall 0.7500 | f1 0.7941 +Train 41/300, loss 0.0429, time 0.6421 +Val 41/300, loss 0.9944, time 0.0745 | acc 0.8136 | pre 0.8571 | recall 0.8333 | f1 0.8451 +Train 42/300, loss 0.0277, time 0.6501 +Val 42/300, loss 0.8045, time 0.0745 | acc 0.8475 | pre 0.8462 | recall 0.9167 | f1 0.8800 +Train 43/300, loss 0.0295, time 0.6411 +Val 43/300, loss 1.0145, time 0.0743 | acc 0.8136 | pre 0.8378 | recall 0.8611 | f1 0.8493 +Train 44/300, loss 0.0236, time 0.6365 +Val 44/300, loss 1.1423, time 0.0754 | acc 0.7966 | pre 0.8333 | recall 0.8333 | f1 0.8333 +Train 45/300, loss 0.0252, time 0.6319 +Val 45/300, loss 1.2015, time 0.0759 | acc 0.7797 | pre 0.8485 | recall 0.7778 | f1 0.8116 +Train 46/300, loss 0.0086, time 0.6503 +Val 46/300, loss 1.5964, time 0.0758 | acc 0.7966 | pre 0.8529 | recall 0.8056 | f1 0.8286 +Train 47/300, loss 0.0255, time 0.6384 +Val 47/300, loss 1.1922, time 0.0758 | acc 0.7797 | pre 0.7949 | recall 0.8611 | f1 0.8267 +Train 48/300, loss 0.0172, time 0.6448 +Val 48/300, loss 1.1325, time 0.0759 | acc 0.8136 | pre 0.8205 | recall 0.8889 | f1 0.8533 +Train 49/300, loss 0.0053, time 0.6347 +Val 49/300, loss 1.1113, time 0.0759 | acc 0.7966 | pre 0.8158 | recall 0.8611 | f1 0.8378 +Train 50/300, loss 0.0134, time 0.6423 +Val 50/300, loss 1.2079, time 0.0759 | acc 0.7797 | pre 0.8108 | recall 0.8333 | f1 0.8219 +Train 51/300, loss 0.0128, time 0.6480 +Val 51/300, loss 1.4897, time 0.0750 | acc 0.7797 | pre 0.8108 | recall 0.8333 | f1 0.8219 +Train 52/300, loss 0.0162, time 0.6342 +Val 52/300, loss 1.5490, time 0.0759 | acc 0.7797 | pre 0.8286 | recall 0.8056 | f1 0.8169 +Train 53/300, loss 0.0033, time 0.6433 +Val 53/300, loss 1.4697, time 0.0759 | acc 0.7797 | pre 0.8286 | recall 0.8056 | f1 0.8169 +Train 54/300, loss 0.0124, time 0.6522 +Val 54/300, loss 1.2914, time 0.0760 | acc 0.7797 | pre 0.7949 | recall 0.8611 | f1 0.8267 +Train 55/300, loss 0.0038, time 0.6576 +Val 55/300, loss 1.2036, time 0.0760 | acc 0.7966 | pre 0.8158 | recall 0.8611 | f1 0.8378 +Train 56/300, loss 0.0031, time 0.6523 +Val 56/300, loss 1.2459, time 0.0761 | acc 0.7966 | pre 0.8158 | recall 0.8611 | f1 0.8378 +Train 57/300, loss 0.0016, time 0.6392 +Val 57/300, loss 1.3159, time 0.0758 | acc 0.7966 | pre 0.8158 | recall 0.8611 | f1 0.8378 +Train 58/300, loss 0.0018, time 0.6611 +Val 58/300, loss 1.3800, time 0.0775 | acc 0.8136 | pre 0.8378 | recall 0.8611 | f1 0.8493 +Train 59/300, loss 0.0011, time 0.6444 +Val 59/300, loss 1.4404, time 0.0779 | acc 0.8136 | pre 0.8378 | recall 0.8611 | f1 0.8493 +Train 60/300, loss 0.0021, time 0.6433 +Val 60/300, loss 1.5234, time 0.0778 | acc 0.7966 | pre 0.8333 | recall 0.8333 | f1 0.8333 +Train 61/300, loss 0.0007, time 0.6476 +Val 61/300, loss 1.4865, time 0.0776 | acc 0.7966 | pre 0.8333 | recall 0.8333 | f1 0.8333 +Train 62/300, loss 0.0035, time 0.6421 +Val 62/300, loss 1.4341, time 0.0773 | acc 0.7966 | pre 0.8158 | recall 0.8611 | f1 0.8378 +Train 63/300, loss 0.0025, time 0.6569 +Val 63/300, loss 1.3206, time 0.0775 | acc 0.7627 | pre 0.7895 | recall 0.8333 | f1 0.8108 +Train 64/300, loss 0.0040, time 0.6395 +Val 64/300, loss 1.5195, time 0.0773 | acc 0.7458 | pre 0.7838 | recall 0.8056 | f1 0.7945 +Train 65/300, loss 0.0150, time 0.6427 +Val 65/300, loss 1.5680, time 0.0774 | acc 0.7797 | pre 0.7949 | recall 0.8611 | f1 0.8267 +Train 66/300, loss 0.0351, time 0.6423 +Val 66/300, loss 1.9564, time 0.0756 | acc 0.7797 | pre 0.7556 | recall 0.9444 | f1 0.8395 +Train 67/300, loss 0.0797, time 0.6452 +Val 67/300, loss 1.6343, time 0.0758 | acc 0.6949 | pre 0.7250 | recall 0.8056 | f1 0.7632 +Train 68/300, loss 0.0940, time 0.6538 +Val 68/300, loss 1.5057, time 0.0758 | acc 0.7458 | pre 0.7838 | recall 0.8056 | f1 0.7945 +Train 69/300, loss 0.0467, time 0.6456 +Val 69/300, loss 1.7420, time 0.0758 | acc 0.7627 | pre 0.7750 | recall 0.8611 | f1 0.8158 +Train 70/300, loss 0.0300, time 0.6580 +Val 70/300, loss 1.4601, time 0.0767 | acc 0.7458 | pre 0.7838 | recall 0.8056 | f1 0.7945 +Train 71/300, loss 0.0170, time 0.6572 +Val 71/300, loss 1.5488, time 0.0775 | acc 0.7627 | pre 0.8056 | recall 0.8056 | f1 0.8056 +Train 72/300, loss 0.0235, time 0.6472 +Val 72/300, loss 1.7090, time 0.0774 | acc 0.7458 | pre 0.7838 | recall 0.8056 | f1 0.7945 +Train 73/300, loss 0.0075, time 0.6470 +Val 73/300, loss 1.7544, time 0.0774 | acc 0.7458 | pre 0.7692 | recall 0.8333 | f1 0.8000 +Train 74/300, loss 0.0123, time 0.6432 +Val 74/300, loss 1.6772, time 0.0777 | acc 0.7797 | pre 0.7949 | recall 0.8611 | f1 0.8267 +Train 75/300, loss 0.0104, time 0.6411 +Val 75/300, loss 1.6000, time 0.0772 | acc 0.7797 | pre 0.7805 | recall 0.8889 | f1 0.8312 +Train 76/300, loss 0.0013, time 0.6417 +Val 76/300, loss 1.5491, time 0.0787 | acc 0.8136 | pre 0.8205 | recall 0.8889 | f1 0.8533 +Train 77/300, loss 0.0035, time 0.6401 +Val 77/300, loss 1.6275, time 0.0774 | acc 0.8136 | pre 0.8205 | recall 0.8889 | f1 0.8533 +Train 78/300, loss 0.0023, time 0.6627 +Val 78/300, loss 1.6814, time 0.0777 | acc 0.7966 | pre 0.8000 | recall 0.8889 | f1 0.8421 +Train 79/300, loss 0.0024, time 0.6656 +Val 79/300, loss 1.7900, time 0.0756 | acc 0.7966 | pre 0.8158 | recall 0.8611 | f1 0.8378 +Train 80/300, loss 0.0010, time 0.6365 +Val 80/300, loss 1.7935, time 0.0781 | acc 0.7966 | pre 0.8158 | recall 0.8611 | f1 0.8378 +Train 81/300, loss 0.0023, time 0.6881 +Val 81/300, loss 1.7811, time 0.0741 | acc 0.7966 | pre 0.8158 | recall 0.8611 | f1 0.8378 +Train 82/300, loss 0.0012, time 0.6527 +Val 82/300, loss 1.8046, time 0.0779 | acc 0.7458 | pre 0.7838 | recall 0.8056 | f1 0.7945 +Train 83/300, loss 0.0040, time 0.7179 +Val 83/300, loss 1.7777, time 0.0741 | acc 0.7797 | pre 0.8286 | recall 0.8056 | f1 0.8169 +Train 84/300, loss 0.0014, time 0.6286 +Val 84/300, loss 1.9618, time 0.0769 | acc 0.7966 | pre 0.8333 | recall 0.8333 | f1 0.8333 +Train 85/300, loss 0.0170, time 0.6080 +Val 85/300, loss 2.0157, time 0.0745 | acc 0.7797 | pre 0.7949 | recall 0.8611 | f1 0.8267 +Train 86/300, loss 0.0370, time 0.6400 +Val 86/300, loss 2.1267, time 0.0775 | acc 0.8136 | pre 0.8378 | recall 0.8611 | f1 0.8493 +Train 87/300, loss 0.0462, time 0.6835 +Val 87/300, loss 2.0155, time 0.0744 | acc 0.8136 | pre 0.8378 | recall 0.8611 | f1 0.8493 +Train 88/300, loss 0.0093, time 0.6326 +Val 88/300, loss 1.9794, time 0.0770 | acc 0.8136 | pre 0.8378 | recall 0.8611 | f1 0.8493 +Train 89/300, loss 0.0014, time 0.6259 +Val 89/300, loss 1.9372, time 0.0757 | acc 0.8136 | pre 0.8378 | recall 0.8611 | f1 0.8493 +Train 90/300, loss 0.0009, time 0.6264 +Val 90/300, loss 1.9447, time 0.0765 | acc 0.8136 | pre 0.8378 | recall 0.8611 | f1 0.8493 +Train 91/300, loss 0.0099, time 0.6353 +Val 91/300, loss 2.0475, time 0.0761 | acc 0.8136 | pre 0.8378 | recall 0.8611 | f1 0.8493 +Train 92/300, loss 0.0010, time 0.6403 +Val 92/300, loss 2.1567, time 0.0786 | acc 0.8136 | pre 0.8378 | recall 0.8611 | f1 0.8493 +Train 93/300, loss 0.0005, time 0.7165 +Val 93/300, loss 2.1824, time 0.0748 | acc 0.8136 | pre 0.8378 | recall 0.8611 | f1 0.8493 +Train 94/300, loss 0.0017, time 0.6527 +Val 94/300, loss 2.2219, time 0.0788 | acc 0.8136 | pre 0.8378 | recall 0.8611 | f1 0.8493 +Train 95/300, loss 0.0032, time 0.6356 +Val 95/300, loss 2.2066, time 0.0765 | acc 0.8136 | pre 0.8378 | recall 0.8611 | f1 0.8493 +Train 96/300, loss 0.0019, time 0.6549 +Val 96/300, loss 2.1974, time 0.0785 | acc 0.7458 | pre 0.7561 | recall 0.8611 | f1 0.8052 +Train 97/300, loss 0.0015, time 0.6983 +Val 97/300, loss 2.1339, time 0.0753 | acc 0.7458 | pre 0.7561 | recall 0.8611 | f1 0.8052 +Train 98/300, loss 0.0030, time 0.6349 +Val 98/300, loss 2.1417, time 0.0780 | acc 0.7966 | pre 0.8158 | recall 0.8611 | f1 0.8378 +Train 99/300, loss 0.0008, time 0.6415 +Val 99/300, loss 2.2361, time 0.0766 | acc 0.8136 | pre 0.8378 | recall 0.8611 | f1 0.8493 +Train 100/300, loss 0.0009, time 0.6438 +Val 100/300, loss 2.2994, time 0.0776 | acc 0.8136 | pre 0.8378 | recall 0.8611 | f1 0.8493 +Train 101/300, loss 0.0022, time 0.6910 +Val 101/300, loss 2.4236, time 0.0736 | acc 0.7966 | pre 0.8158 | recall 0.8611 | f1 0.8378 +Train 102/300, loss 0.0013, time 0.6321 +Val 102/300, loss 2.5753, time 0.0751 | acc 0.7627 | pre 0.7750 | recall 0.8611 | f1 0.8158 +Train 103/300, loss 0.0059, time 0.6910 +Val 103/300, loss 2.4475, time 0.0751 | acc 0.7797 | pre 0.7949 | recall 0.8611 | f1 0.8267 +Train 104/300, loss 0.0039, time 0.6453 +Val 104/300, loss 2.2939, time 0.0772 | acc 0.7966 | pre 0.8158 | recall 0.8611 | f1 0.8378 +Train 105/300, loss 0.0055, time 0.6500 +Val 105/300, loss 2.1996, time 0.0775 | acc 0.7797 | pre 0.7949 | recall 0.8611 | f1 0.8267 +Train 106/300, loss 0.0155, time 0.6459 +Val 106/300, loss 1.9944, time 0.0781 | acc 0.7797 | pre 0.7805 | recall 0.8889 | f1 0.8312 +Train 107/300, loss 0.0030, time 0.6504 +Val 107/300, loss 2.1418, time 0.0789 | acc 0.7458 | pre 0.7561 | recall 0.8611 | f1 0.8052 +Train 108/300, loss 0.0188, time 0.6542 +Val 108/300, loss 2.0599, time 0.0781 | acc 0.7966 | pre 0.8158 | recall 0.8611 | f1 0.8378 +Train 109/300, loss 0.0096, time 0.6656 +Val 109/300, loss 1.9992, time 0.0780 | acc 0.7627 | pre 0.7895 | recall 0.8333 | f1 0.8108 +Train 110/300, loss 0.0557, time 0.6604 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0.8158 | recall 0.8611 | f1 0.8378 +Train 118/300, loss 0.0019, time 0.6644 +Val 118/300, loss 1.9039, time 0.0780 | acc 0.7966 | pre 0.8158 | recall 0.8611 | f1 0.8378 +Train 119/300, loss 0.0029, time 0.6420 +Val 119/300, loss 1.9650, time 0.0779 | acc 0.7966 | pre 0.8158 | recall 0.8611 | f1 0.8378 +Train 120/300, loss 0.0013, time 0.6506 +Val 120/300, loss 1.9513, time 0.0748 | acc 0.7966 | pre 0.8158 | recall 0.8611 | f1 0.8378 +Train 121/300, loss 0.0011, time 0.6429 +Val 121/300, loss 1.9813, time 0.0763 | acc 0.7966 | pre 0.8158 | recall 0.8611 | f1 0.8378 +Train 122/300, loss 0.0011, time 0.6411 +Val 122/300, loss 2.0556, time 0.0761 | acc 0.7966 | pre 0.8158 | recall 0.8611 | f1 0.8378 +Train 123/300, loss 0.0006, time 0.6427 +Val 123/300, loss 2.0599, time 0.0764 | acc 0.7966 | pre 0.8158 | recall 0.8611 | f1 0.8378 +Train 124/300, loss 0.0071, time 0.6470 +Val 124/300, loss 2.3260, time 0.0762 | acc 0.7797 | pre 0.7949 | recall 0.8611 | f1 0.8267 +Train 125/300, loss 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acc 0.7797 | pre 0.7949 | recall 0.8611 | f1 0.8267 +Train 133/300, loss 0.0002, time 0.6478 +Val 133/300, loss 2.5000, time 0.0782 | acc 0.7797 | pre 0.7949 | recall 0.8611 | f1 0.8267 +Train 134/300, loss 0.0003, time 0.6489 +Val 134/300, loss 2.5370, time 0.0779 | acc 0.7797 | pre 0.7949 | recall 0.8611 | f1 0.8267 +Train 135/300, loss 0.0002, time 0.6525 +Val 135/300, loss 2.5421, time 0.0778 | acc 0.7797 | pre 0.7949 | recall 0.8611 | f1 0.8267 +Train 136/300, loss 0.0003, time 0.6514 +Val 136/300, loss 2.5552, time 0.0779 | acc 0.7797 | pre 0.7949 | recall 0.8611 | f1 0.8267 +Train 137/300, loss 0.0002, time 0.6396 +Val 137/300, loss 2.4860, time 0.0777 | acc 0.7797 | pre 0.7949 | recall 0.8611 | f1 0.8267 +Train 138/300, loss 0.0001, time 0.6690 +Val 138/300, loss 2.4553, time 0.0780 | acc 0.7797 | pre 0.7949 | recall 0.8611 | f1 0.8267 +Train 139/300, loss 0.0004, time 0.6441 +Val 139/300, loss 2.4439, time 0.0780 | acc 0.7797 | pre 0.7949 | recall 0.8611 | f1 0.8267 +Train 140/300, loss 0.0001, time 0.6480 +Val 140/300, loss 2.5114, time 0.0780 | acc 0.7797 | pre 0.7949 | recall 0.8611 | f1 0.8267 +Train 141/300, loss 0.0000, time 0.6431 +Val 141/300, loss 2.4970, time 0.0779 | acc 0.7797 | pre 0.7949 | recall 0.8611 | f1 0.8267 +Train 142/300, loss 0.0003, time 0.6504 +Val 142/300, loss 2.5586, time 0.0780 | acc 0.7797 | pre 0.7949 | recall 0.8611 | f1 0.8267 +Train 143/300, loss 0.0001, time 0.6457 +Val 143/300, loss 2.5503, time 0.0780 | acc 0.7797 | pre 0.7949 | recall 0.8611 | f1 0.8267 +Train 144/300, loss 0.0005, time 0.6525 +Val 144/300, loss 2.5766, time 0.0779 | acc 0.7797 | pre 0.7949 | recall 0.8611 | f1 0.8267 +Train 145/300, loss 0.0002, time 0.6523 +Val 145/300, loss 2.3210, time 0.0778 | acc 0.7797 | pre 0.7949 | recall 0.8611 | f1 0.8267 +Train 146/300, loss 0.0010, time 0.6641 +Val 146/300, loss 2.2188, time 0.0777 | acc 0.8136 | pre 0.8378 | recall 0.8611 | f1 0.8493 +Train 147/300, loss 0.0010, time 0.6332 +Val 147/300, loss 2.3220, 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0.8333 +Train 155/300, loss 0.0038, time 0.6340 +Val 155/300, loss 2.1130, time 0.0743 | acc 0.7797 | pre 0.8108 | recall 0.8333 | f1 0.8219 +Train 156/300, loss 0.0046, time 0.6386 +Val 156/300, loss 2.2102, time 0.0759 | acc 0.7966 | pre 0.8333 | recall 0.8333 | f1 0.8333 +Train 157/300, loss 0.0004, time 0.6389 +Val 157/300, loss 2.3669, time 0.0745 | acc 0.7966 | pre 0.8333 | recall 0.8333 | f1 0.8333 +Train 158/300, loss 0.0004, time 0.6506 +Val 158/300, loss 2.3926, time 0.0762 | acc 0.7966 | pre 0.8333 | recall 0.8333 | f1 0.8333 +Train 159/300, loss 0.0010, time 0.6423 +Val 159/300, loss 2.4224, time 0.0759 | acc 0.8136 | pre 0.8378 | recall 0.8611 | f1 0.8493 +Train 160/300, loss 0.0015, time 0.6281 +Val 160/300, loss 2.4795, time 0.0760 | acc 0.8136 | pre 0.8378 | recall 0.8611 | f1 0.8493 +Train 161/300, loss 0.0001, time 0.6823 +Val 161/300, loss 2.4846, time 0.0729 | acc 0.8136 | pre 0.8378 | recall 0.8611 | f1 0.8493 +Train 162/300, loss 0.0002, time 0.6062 +Val 162/300, loss 2.5248, time 0.0757 | acc 0.8136 | pre 0.8378 | recall 0.8611 | f1 0.8493 +Train 163/300, loss 0.0004, time 0.6859 +Val 163/300, loss 2.5678, time 0.1009 | acc 0.8136 | pre 0.8378 | recall 0.8611 | f1 0.8493 +Train 164/300, loss 0.0002, time 0.6355 +Val 164/300, loss 2.5279, time 0.0775 | acc 0.8136 | pre 0.8378 | recall 0.8611 | f1 0.8493 +Train 165/300, loss 0.0026, time 0.6684 +Val 165/300, loss 2.5367, time 0.0795 | acc 0.8136 | pre 0.8378 | recall 0.8611 | f1 0.8493 +Train 166/300, loss 0.0002, time 0.6437 +Val 166/300, loss 2.8927, time 0.0776 | acc 0.7797 | pre 0.8286 | recall 0.8056 | f1 0.8169 +Train 167/300, loss 0.0029, time 0.6189 +Val 167/300, loss 2.9168, time 0.1028 | acc 0.7797 | pre 0.8286 | recall 0.8056 | f1 0.8169 +Train 168/300, loss 0.0130, time 0.6139 +Val 168/300, loss 3.2426, time 0.0771 | acc 0.8136 | pre 0.8378 | recall 0.8611 | f1 0.8493 +Train 169/300, loss 0.0469, time 0.6313 +Val 169/300, loss 2.6776, time 0.0839 | acc 0.7627 | pre 0.7750 | recall 0.8611 | f1 0.8158 +Train 170/300, loss 0.0030, time 0.6846 +Val 170/300, loss 2.2326, time 0.0769 | acc 0.7627 | pre 0.7619 | recall 0.8889 | f1 0.8205 +Train 171/300, loss 0.0129, time 0.6427 +Val 171/300, loss 2.0206, time 0.0834 | acc 0.8136 | pre 0.8205 | recall 0.8889 | f1 0.8533 +Train 172/300, loss 0.0284, time 0.6816 +Val 172/300, loss 1.7253, time 0.0762 | acc 0.7627 | pre 0.7895 | recall 0.8333 | f1 0.8108 +Train 173/300, loss 0.0421, time 0.6252 +Val 173/300, loss 1.7447, time 0.0772 | acc 0.7966 | pre 0.7727 | recall 0.9444 | f1 0.8500 +Train 174/300, loss 0.0308, time 0.6566 +Val 174/300, loss 1.9579, time 0.0760 | acc 0.7966 | pre 0.7857 | recall 0.9167 | f1 0.8462 +Train 175/300, loss 0.0272, time 0.6280 +Val 175/300, loss 1.5974, time 0.0747 | acc 0.7797 | pre 0.8108 | recall 0.8333 | f1 0.8219 +Train 176/300, loss 0.0084, time 0.6230 +Val 176/300, loss 1.9765, time 0.0771 | acc 0.7966 | pre 0.8158 | recall 0.8611 | f1 0.8378 +Train 177/300, loss 0.0108, time 0.6453 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0.7949 | recall 0.8611 | f1 0.8267 +Train 185/300, loss 0.0121, time 0.6412 +Val 185/300, loss 1.5698, time 0.0777 | acc 0.7627 | pre 0.7750 | recall 0.8611 | f1 0.8158 +Train 186/300, loss 0.0077, time 0.6451 +Val 186/300, loss 1.4087, time 0.0719 | acc 0.7627 | pre 0.7750 | recall 0.8611 | f1 0.8158 +Train 187/300, loss 0.0183, time 0.5326 +Val 187/300, loss 1.4956, time 0.0731 | acc 0.7797 | pre 0.7674 | recall 0.9167 | f1 0.8354 +Train 188/300, loss 0.0063, time 0.5898 +Val 188/300, loss 1.6020, time 0.0764 | acc 0.7797 | pre 0.7674 | recall 0.9167 | f1 0.8354 +Train 189/300, loss 0.0196, time 0.6371 +Val 189/300, loss 1.5089, time 0.0761 | acc 0.7627 | pre 0.7750 | recall 0.8611 | f1 0.8158 +Train 190/300, loss 0.0061, time 0.6452 +Val 190/300, loss 1.5063, time 0.0767 | acc 0.7797 | pre 0.7949 | recall 0.8611 | f1 0.8267 +Train 191/300, loss 0.0037, time 0.6325 +Val 191/300, loss 1.5334, time 0.0751 | acc 0.7797 | pre 0.7949 | recall 0.8611 | f1 0.8267 +Train 192/300, loss 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time 0.0775 | acc 0.7797 | pre 0.7949 | recall 0.8611 | f1 0.8267 +Train 215/300, loss 0.0234, time 0.6619 +Val 215/300, loss 1.8499, time 0.0774 | acc 0.8136 | pre 0.8378 | recall 0.8611 | f1 0.8493 +Train 216/300, loss 0.0191, time 0.6440 +Val 216/300, loss 1.7104, time 0.0772 | acc 0.7797 | pre 0.7949 | recall 0.8611 | f1 0.8267 +Train 217/300, loss 0.0088, time 0.6610 +Val 217/300, loss 1.6794, time 0.0772 | acc 0.7627 | pre 0.7750 | recall 0.8611 | f1 0.8158 +Train 218/300, loss 0.0115, time 0.6599 +Val 218/300, loss 1.7498, time 0.0775 | acc 0.8136 | pre 0.8378 | recall 0.8611 | f1 0.8493 +Train 219/300, loss 0.0104, time 0.6449 +Val 219/300, loss 1.9330, time 0.0776 | acc 0.8136 | pre 0.8378 | recall 0.8611 | f1 0.8493 +Train 220/300, loss 0.0029, time 0.6447 +Val 220/300, loss 1.9247, time 0.0776 | acc 0.7966 | pre 0.8333 | recall 0.8333 | f1 0.8333 +Train 221/300, loss 0.0129, time 0.6549 +Val 221/300, loss 1.9837, time 0.0775 | acc 0.7966 | pre 0.8333 | recall 0.8333 | f1 0.8333 +Train 222/300, loss 0.0068, time 0.6378 +Val 222/300, loss 1.7790, time 0.0773 | acc 0.7966 | pre 0.8333 | recall 0.8333 | f1 0.8333 +Train 223/300, loss 0.0118, time 0.6449 +Val 223/300, loss 1.6426, time 0.0773 | acc 0.7966 | pre 0.8158 | recall 0.8611 | f1 0.8378 +Train 224/300, loss 0.0055, time 0.6437 +Val 224/300, loss 1.5992, time 0.0773 | acc 0.7966 | pre 0.8158 | recall 0.8611 | f1 0.8378 +Train 225/300, loss 0.0067, time 0.6420 +Val 225/300, loss 1.6000, time 0.0772 | acc 0.7966 | pre 0.8158 | recall 0.8611 | f1 0.8378 +Train 226/300, loss 0.0043, time 0.6557 +Val 226/300, loss 1.6897, time 0.0768 | acc 0.7966 | pre 0.8158 | recall 0.8611 | f1 0.8378 +Train 227/300, loss 0.0041, time 0.6440 +Val 227/300, loss 1.5911, time 0.0774 | acc 0.7966 | pre 0.8158 | recall 0.8611 | f1 0.8378 +Train 228/300, loss 0.0014, time 0.6512 +Val 228/300, loss 1.5869, time 0.0772 | acc 0.7966 | pre 0.8158 | recall 0.8611 | f1 0.8378 +Train 229/300, loss 0.0128, time 0.6387 +Val 229/300, loss 1.7692, time 0.0774 | acc 0.8136 | pre 0.8378 | recall 0.8611 | f1 0.8493 +Train 230/300, loss 0.0078, time 0.6451 +Val 230/300, loss 1.9243, time 0.0773 | acc 0.8136 | pre 0.8378 | recall 0.8611 | f1 0.8493 +Train 231/300, loss 0.0044, time 0.6444 +Val 231/300, loss 1.9445, time 0.0780 | acc 0.8136 | pre 0.8378 | recall 0.8611 | f1 0.8493 +Train 232/300, loss 0.0026, time 0.6434 +Val 232/300, loss 1.9187, time 0.0768 | acc 0.8136 | pre 0.8378 | recall 0.8611 | f1 0.8493 +Train 233/300, loss 0.0015, time 0.6561 +Val 233/300, loss 1.9200, time 0.0767 | acc 0.8136 | pre 0.8378 | recall 0.8611 | f1 0.8493 +Train 234/300, loss 0.0003, time 0.6457 +Val 234/300, loss 1.9540, time 0.0774 | acc 0.8136 | pre 0.8378 | recall 0.8611 | f1 0.8493 +Train 235/300, loss 0.0006, time 0.6485 +Val 235/300, loss 1.9916, time 0.0775 | acc 0.8136 | pre 0.8378 | recall 0.8611 | f1 0.8493 +Train 236/300, loss 0.0024, time 0.6455 +Val 236/300, loss 1.8941, time 0.0774 | acc 0.8136 | pre 0.8378 | recall 0.8611 | f1 0.8493 +Train 237/300, loss 0.0017, time 0.6418 +Val 237/300, loss 1.8490, time 0.0775 | acc 0.7966 | pre 0.8158 | recall 0.8611 | f1 0.8378 +Train 238/300, loss 0.0008, time 0.6494 +Val 238/300, loss 1.8655, time 0.0775 | acc 0.7966 | pre 0.8158 | recall 0.8611 | f1 0.8378 +Train 239/300, loss 0.0010, time 0.6592 +Val 239/300, loss 1.9032, time 0.0777 | acc 0.7966 | pre 0.8158 | recall 0.8611 | f1 0.8378 +Train 240/300, loss 0.0001, time 0.6551 +Val 240/300, loss 1.9347, time 0.0778 | acc 0.8136 | pre 0.8378 | recall 0.8611 | f1 0.8493 +Train 241/300, loss 0.0005, time 0.6452 +Val 241/300, loss 1.9808, time 0.0774 | acc 0.7966 | pre 0.8158 | recall 0.8611 | f1 0.8378 +Train 242/300, loss 0.0013, time 0.6550 +Val 242/300, loss 2.0336, time 0.0767 | acc 0.8136 | pre 0.8378 | recall 0.8611 | f1 0.8493 +Train 243/300, loss 0.0002, time 0.6563 +Val 243/300, loss 2.0030, time 0.0773 | acc 0.8136 | pre 0.8378 | recall 0.8611 | f1 0.8493 +Train 244/300, loss 0.0029, time 0.6615 +Val 244/300, loss 2.0271, time 0.0753 | acc 0.8136 | pre 0.8378 | recall 0.8611 | f1 0.8493 +Train 245/300, loss 0.0002, time 0.6305 +Val 245/300, loss 2.1675, time 0.0767 | acc 0.8136 | pre 0.8378 | recall 0.8611 | f1 0.8493 +Train 246/300, loss 0.0004, time 0.7103 +Val 246/300, loss 2.2186, time 0.0730 | acc 0.8136 | pre 0.8378 | recall 0.8611 | f1 0.8493 +Train 247/300, loss 0.0002, time 0.6418 +Val 247/300, loss 2.2375, time 0.0776 | acc 0.8136 | pre 0.8378 | recall 0.8611 | f1 0.8493 +Train 248/300, loss 0.0008, time 0.6686 +Val 248/300, loss 2.2243, time 0.0745 | acc 0.8136 | pre 0.8378 | recall 0.8611 | f1 0.8493 +Train 249/300, loss 0.0003, time 0.6370 +Val 249/300, loss 2.3174, time 0.0761 | acc 0.8136 | pre 0.8378 | recall 0.8611 | f1 0.8493 +Train 250/300, loss 0.0063, time 0.6304 +Val 250/300, loss 2.3322, time 0.0737 | acc 0.7797 | pre 0.7949 | recall 0.8611 | f1 0.8267 +Train 251/300, loss 0.1124, time 0.6139 +Val 251/300, loss 1.9104, time 0.0759 | acc 0.7966 | pre 0.8158 | recall 0.8611 | f1 0.8378 +Train 252/300, loss 0.0883, time 0.6526 +Val 252/300, loss 1.6476, time 0.0745 | acc 0.7966 | pre 0.8158 | recall 0.8611 | f1 0.8378 +Train 253/300, loss 0.0068, time 0.6400 +Val 253/300, loss 1.6463, time 0.0754 | acc 0.7966 | pre 0.8158 | recall 0.8611 | f1 0.8378 +Train 254/300, loss 0.0189, time 0.6426 +Val 254/300, loss 1.7150, time 0.0745 | acc 0.7797 | pre 0.7949 | recall 0.8611 | f1 0.8267 +Train 255/300, loss 0.0130, time 0.5969 +Val 255/300, loss 1.6644, time 0.0769 | acc 0.7966 | pre 0.7857 | recall 0.9167 | f1 0.8462 +Train 256/300, loss 0.0023, time 0.7192 +Val 256/300, loss 1.4711, time 0.0743 | acc 0.7966 | pre 0.8000 | recall 0.8889 | f1 0.8421 +Train 257/300, loss 0.0014, time 0.6409 +Val 257/300, loss 1.3531, time 0.0764 | acc 0.8136 | pre 0.8205 | recall 0.8889 | f1 0.8533 +Train 258/300, loss 0.0007, time 0.6590 +Val 258/300, loss 1.3322, time 0.0743 | acc 0.8136 | pre 0.8205 | recall 0.8889 | f1 0.8533 +Train 259/300, loss 0.0006, time 0.6272 +Val 259/300, loss 1.3643, time 0.0753 | acc 0.7966 | pre 0.8158 | recall 0.8611 | f1 0.8378 +Train 260/300, loss 0.0045, time 0.7086 +Val 260/300, loss 1.2540, time 0.0745 | acc 0.7966 | pre 0.8158 | recall 0.8611 | f1 0.8378 +Train 261/300, loss 0.0012, time 0.6185 +Val 261/300, loss 1.2174, time 0.0773 | acc 0.8136 | pre 0.8205 | recall 0.8889 | f1 0.8533 +Train 262/300, loss 0.0009, time 0.7066 +Val 262/300, loss 1.2630, time 0.0721 | acc 0.7966 | pre 0.8158 | recall 0.8611 | f1 0.8378 +Train 263/300, loss 0.0008, time 0.6173 +Val 263/300, loss 1.3045, time 0.0755 | acc 0.7966 | pre 0.8158 | recall 0.8611 | f1 0.8378 +Train 264/300, loss 0.0006, time 0.6443 +Val 264/300, loss 1.3259, time 0.0726 | acc 0.7966 | pre 0.8158 | recall 0.8611 | f1 0.8378 +Train 265/300, loss 0.0008, time 0.6194 +Val 265/300, loss 1.3380, time 0.0756 | acc 0.7966 | pre 0.8158 | recall 0.8611 | f1 0.8378 +Train 266/300, loss 0.0004, time 0.6399 +Val 266/300, loss 1.4241, time 0.0749 | acc 0.7966 | pre 0.8158 | recall 0.8611 | f1 0.8378 +Train 267/300, loss 0.0006, time 0.6211 +Val 267/300, loss 1.4190, time 0.0762 | acc 0.7966 | pre 0.8158 | recall 0.8611 | f1 0.8378 +Train 268/300, loss 0.0001, time 0.6375 +Val 268/300, loss 1.4560, time 0.1480 | acc 0.7966 | pre 0.8158 | recall 0.8611 | f1 0.8378 +Train 269/300, loss 0.0002, time 0.6159 +Val 269/300, loss 1.4624, time 0.0762 | acc 0.7966 | pre 0.8158 | recall 0.8611 | f1 0.8378 +Train 270/300, loss 0.0004, time 0.6523 +Val 270/300, loss 1.4947, time 0.0761 | acc 0.7966 | pre 0.8158 | recall 0.8611 | f1 0.8378 +Train 271/300, loss 0.0171, time 0.6508 +Val 271/300, loss 1.5564, time 0.0771 | acc 0.7966 | pre 0.8158 | recall 0.8611 | f1 0.8378 +Train 272/300, loss 0.0063, time 0.6454 +Val 272/300, loss 1.8553, time 0.0767 | acc 0.7966 | pre 0.8158 | recall 0.8611 | f1 0.8378 +Train 273/300, loss 0.0409, time 0.6539 +Val 273/300, loss 1.5928, time 0.0762 | acc 0.7627 | pre 0.7619 | recall 0.8889 | f1 0.8205 +Train 274/300, loss 0.0134, time 0.6357 +Val 274/300, loss 2.5596, time 0.0769 | acc 0.7627 | pre 0.7391 | recall 0.9444 | f1 0.8293 +Train 275/300, loss 0.0367, time 0.6509 +Val 275/300, loss 2.1254, time 0.0769 | acc 0.7458 | pre 0.7333 | recall 0.9167 | f1 0.8148 +Train 276/300, loss 0.0066, time 0.6541 +Val 276/300, loss 1.9905, time 0.0769 | acc 0.7458 | pre 0.7333 | recall 0.9167 | f1 0.8148 +Train 277/300, loss 0.0344, time 0.6428 +Val 277/300, loss 1.7174, time 0.0769 | acc 0.7966 | pre 0.8000 | recall 0.8889 | f1 0.8421 +Train 278/300, loss 0.0161, time 0.6437 +Val 278/300, loss 1.6579, time 0.0768 | acc 0.7797 | pre 0.7949 | recall 0.8611 | f1 0.8267 +Train 279/300, loss 0.0007, time 0.6424 +Val 279/300, loss 1.6317, time 0.0774 | acc 0.7966 | pre 0.8158 | recall 0.8611 | f1 0.8378 +Train 280/300, loss 0.0099, time 0.6455 +Val 280/300, loss 1.6128, time 0.0766 | acc 0.7797 | pre 0.7949 | recall 0.8611 | f1 0.8267 +Train 281/300, loss 0.0006, time 0.6358 +Val 281/300, loss 1.5649, time 0.0770 | acc 0.7797 | pre 0.7949 | recall 0.8611 | f1 0.8267 +Train 282/300, loss 0.0030, time 0.6382 +Val 282/300, loss 1.5935, time 0.0753 | acc 0.7797 | pre 0.7949 | recall 0.8611 | f1 0.8267 +Train 283/300, loss 0.0043, time 0.6368 +Val 283/300, loss 1.6273, time 0.0753 | acc 0.7797 | pre 0.7949 | recall 0.8611 | f1 0.8267 +Train 284/300, loss 0.0018, time 0.6336 +Val 284/300, loss 1.7804, time 0.0766 | acc 0.7966 | pre 0.8158 | recall 0.8611 | f1 0.8378 +Train 285/300, loss 0.0007, time 0.6432 +Val 285/300, loss 1.8546, time 0.0766 | acc 0.7797 | pre 0.7949 | recall 0.8611 | f1 0.8267 +Train 286/300, loss 0.0005, time 0.6446 +Val 286/300, loss 1.9178, time 0.0768 | acc 0.7797 | pre 0.7949 | recall 0.8611 | f1 0.8267 +Train 287/300, loss 0.0030, time 0.6397 +Val 287/300, loss 1.8828, time 0.0767 | acc 0.7797 | pre 0.7949 | recall 0.8611 | f1 0.8267 +Train 288/300, loss 0.0007, time 0.6383 +Val 288/300, loss 1.8870, time 0.0767 | acc 0.7797 | pre 0.7949 | recall 0.8611 | f1 0.8267 +Train 289/300, loss 0.0001, time 0.6401 +Val 289/300, loss 1.8753, time 0.0769 | acc 0.7797 | pre 0.7949 | recall 0.8611 | f1 0.8267 +Train 290/300, loss 0.0001, time 0.6479 +Val 290/300, loss 1.9078, time 0.0766 | acc 0.7797 | pre 0.7949 | recall 0.8611 | f1 0.8267 +Train 291/300, loss 0.0028, time 0.6446 +Val 291/300, loss 1.9031, time 0.0767 | acc 0.7797 | pre 0.7949 | recall 0.8611 | f1 0.8267 +Train 292/300, loss 0.0008, time 0.6440 +Val 292/300, loss 2.1695, time 0.0766 | acc 0.7797 | pre 0.7949 | recall 0.8611 | f1 0.8267 +Train 293/300, loss 0.0019, time 0.6416 +Val 293/300, loss 2.2171, time 0.0764 | acc 0.7966 | pre 0.8000 | recall 0.8889 | f1 0.8421 +Train 294/300, loss 0.0002, time 0.6355 +Val 294/300, loss 2.2520, time 0.0767 | acc 0.7966 | pre 0.8000 | recall 0.8889 | f1 0.8421 +Train 295/300, loss 0.0003, time 0.6413 +Val 295/300, loss 2.2300, time 0.0770 | acc 0.7966 | pre 0.8000 | recall 0.8889 | f1 0.8421 +Train 296/300, loss 0.0001, time 0.6440 +Val 296/300, loss 2.2628, time 0.0769 | acc 0.7966 | pre 0.8000 | recall 0.8889 | f1 0.8421 +Train 297/300, loss 0.0001, time 0.6407 +Val 297/300, loss 2.2689, time 0.0771 | acc 0.8136 | pre 0.8205 | recall 0.8889 | f1 0.8533 +Train 298/300, loss 0.0018, time 0.6848 +Val 298/300, loss 2.2425, time 0.0762 | acc 0.7966 | pre 0.8158 | recall 0.8611 | f1 0.8378 +Train 299/300, loss 0.0001, time 0.6430 +Val 299/300, loss 2.2761, time 0.0752 | acc 0.7966 | pre 0.8158 | recall 0.8611 | f1 0.8378 +Train 300/300, loss 0.0001, time 0.6500 +Val 300/300, loss 2.2880, time 0.0752 | acc 0.7966 | pre 0.8158 | recall 0.8611 | f1 0.8378 +best epoch: 41 acc: 0.8475 | Precision: 0.8462 | recall 0.9167 | f1 0.8800 +Total time: 217.3120 +Fold 4 / 5 +GraphTransformer( + (embedding): Linear(in_features=4096, out_features=256, bias=False) + (encoder): GraphTransformerEncoder( + (layers): ModuleList( + (0-2): 3 x TransformerEncoderLayer( + (self_attn): Attention() + (linear1): Linear(in_features=256, out_features=128, bias=True) + (dropout): Dropout(p=0.1, inplace=False) + (linear2): Linear(in_features=128, out_features=256, bias=True) + (norm1): BatchNorm1d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (norm2): BatchNorm1d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (dropout1): Dropout(p=0.1, inplace=False) + (dropout2): Dropout(p=0.1, inplace=False) + ) + ) + ) + (classifier): Sequential( + (0): Linear(in_features=256, out_features=256, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=256, out_features=2, bias=True) + ) +) +Total number of parameters: 3096706 +Extracting 2-hop subgraphs... +Done! +Extracting 2-hop subgraphs... +Done! +Training... +Train 1/300, loss 0.4730, time 0.6347 +Val 1/300, loss 0.6883, time 0.0764 | acc 0.4915 | pre 1.0000 | recall 0.1667 | f1 0.2857 +Train 2/300, loss 0.2392, time 0.6346 +Val 2/300, loss 0.6882, time 0.0752 | acc 0.4915 | pre 1.0000 | recall 0.1667 | f1 0.2857 +Train 3/300, loss 0.1985, time 0.6365 +Val 3/300, loss 0.6733, time 0.0753 | acc 0.5593 | pre 1.0000 | recall 0.2778 | f1 0.4348 +Train 4/300, loss 0.1661, time 0.6532 +Val 4/300, loss 0.6262, time 0.0752 | acc 0.7119 | pre 0.9524 | recall 0.5556 | f1 0.7018 +Train 5/300, loss 0.1494, time 0.6346 +Val 5/300, loss 0.5679, time 0.0751 | acc 0.7797 | pre 0.9600 | recall 0.6667 | f1 0.7869 +Train 6/300, loss 0.1366, time 0.6324 +Val 6/300, loss 0.5033, time 0.0752 | acc 0.7966 | pre 0.8529 | recall 0.8056 | f1 0.8286 +Train 7/300, loss 0.0945, time 0.6314 +Val 7/300, loss 0.4253, time 0.0751 | acc 0.8475 | pre 0.8649 | recall 0.8889 | f1 0.8767 +Train 8/300, loss 0.0776, time 0.6312 +Val 8/300, loss 0.4568, time 0.0752 | acc 0.8475 | pre 0.9091 | recall 0.8333 | f1 0.8696 +Train 9/300, loss 0.0724, time 0.6375 +Val 9/300, loss 1.5526, time 0.0746 | acc 0.5593 | pre 0.9167 | recall 0.3056 | f1 0.4583 +Train 10/300, loss 0.0889, time 0.6451 +Val 10/300, loss 0.8628, time 0.0748 | acc 0.7458 | pre 0.8000 | recall 0.7778 | f1 0.7887 +Train 11/300, loss 0.0863, time 0.6299 +Val 11/300, loss 0.9605, time 0.0749 | acc 0.7797 | pre 0.8710 | recall 0.7500 | f1 0.8060 +Train 12/300, loss 0.0510, time 0.6428 +Val 12/300, loss 0.8969, time 0.0742 | acc 0.7966 | pre 0.8333 | recall 0.8333 | f1 0.8333 +Train 13/300, loss 0.0513, time 0.6321 +Val 13/300, loss 0.7720, time 0.0771 | acc 0.7797 | pre 0.7949 | recall 0.8611 | f1 0.8267 +Train 14/300, loss 0.0632, time 0.6294 +Val 14/300, loss 0.9281, time 0.0751 | acc 0.7627 | pre 0.7500 | recall 0.9167 | f1 0.8250 +Train 15/300, loss 0.0556, time 0.6476 +Val 15/300, loss 1.0010, time 0.0746 | acc 0.7627 | pre 0.7500 | recall 0.9167 | f1 0.8250 +Train 16/300, loss 0.0313, time 0.6323 +Val 16/300, loss 0.7355, time 0.0749 | acc 0.8305 | pre 0.8421 | recall 0.8889 | f1 0.8649 +Train 17/300, loss 0.0299, time 0.6278 +Val 17/300, loss 0.8762, time 0.0790 | acc 0.7966 | pre 0.8000 | recall 0.8889 | f1 0.8421 +Train 18/300, loss 0.0256, time 0.6699 +Val 18/300, loss 0.9197, time 0.0789 | acc 0.8136 | pre 0.8205 | recall 0.8889 | f1 0.8533 +Train 19/300, loss 0.0193, time 0.6388 +Val 19/300, loss 1.0568, time 0.0734 | acc 0.7966 | pre 0.8000 | recall 0.8889 | f1 0.8421 +Train 20/300, loss 0.0100, time 0.6330 +Val 20/300, loss 1.1511, time 0.0739 | acc 0.7966 | pre 0.8000 | recall 0.8889 | f1 0.8421 +Train 21/300, loss 0.0091, time 0.6540 +Val 21/300, loss 1.2052, time 0.0751 | acc 0.8136 | pre 0.8205 | recall 0.8889 | f1 0.8533 +Train 22/300, loss 0.0150, time 0.6243 +Val 22/300, loss 1.1856, time 0.0749 | acc 0.8136 | pre 0.8571 | recall 0.8333 | f1 0.8451 +Train 23/300, loss 0.0137, time 0.6305 +Val 23/300, loss 1.1725, time 0.0756 | acc 0.8136 | pre 0.8571 | recall 0.8333 | f1 0.8451 +Train 24/300, loss 0.0119, time 0.6473 +Val 24/300, loss 1.1822, time 0.0727 | acc 0.8305 | pre 0.8611 | recall 0.8611 | f1 0.8611 +Train 25/300, loss 0.0222, time 0.6257 +Val 25/300, loss 1.1732, time 0.0745 | acc 0.8305 | pre 0.8421 | recall 0.8889 | f1 0.8649 +Train 26/300, loss 0.0207, time 0.7084 +Val 26/300, loss 1.4013, time 0.0727 | acc 0.7627 | pre 0.7619 | recall 0.8889 | f1 0.8205 +Train 27/300, loss 0.0322, time 0.6356 +Val 27/300, loss 1.5190, time 0.0763 | acc 0.6949 | pre 0.6957 | recall 0.8889 | f1 0.7805 +Train 28/300, loss 0.0558, time 0.6904 +Val 28/300, loss 1.4895, time 0.0736 | acc 0.7119 | pre 0.6939 | recall 0.9444 | f1 0.8000 +Train 29/300, loss 0.0371, time 0.6274 +Val 29/300, loss 0.9386, time 0.0774 | acc 0.7797 | pre 0.7805 | recall 0.8889 | f1 0.8312 +Train 30/300, loss 0.0284, time 0.7479 +Val 30/300, loss 0.9530, time 0.0734 | acc 0.7966 | pre 0.8158 | recall 0.8611 | f1 0.8378 +Train 31/300, loss 0.0159, time 0.6174 +Val 31/300, loss 1.0392, time 0.0762 | acc 0.8136 | pre 0.8571 | recall 0.8333 | f1 0.8451 +Train 32/300, loss 0.0361, time 0.6749 +Val 32/300, loss 1.2627, time 0.0732 | acc 0.7966 | pre 0.8529 | recall 0.8056 | f1 0.8286 +Train 33/300, loss 0.0669, time 0.5994 +Val 33/300, loss 1.0270, time 0.0766 | acc 0.7966 | pre 0.8333 | recall 0.8333 | f1 0.8333 +Train 34/300, loss 0.0959, time 0.6602 +Val 34/300, loss 1.0067, time 0.0720 | acc 0.7797 | pre 0.8286 | recall 0.8056 | f1 0.8169 +Train 35/300, loss 0.0433, time 0.6064 +Val 35/300, loss 1.3652, time 0.0750 | acc 0.7797 | pre 0.8710 | recall 0.7500 | f1 0.8060 +Train 36/300, loss 0.0630, time 0.6714 +Val 36/300, loss 1.2325, time 0.0736 | acc 0.7797 | pre 0.8108 | recall 0.8333 | f1 0.8219 +Train 37/300, loss 0.0283, time 0.6128 +Val 37/300, loss 1.2298, time 0.0770 | acc 0.7627 | pre 0.7619 | recall 0.8889 | f1 0.8205 +Train 38/300, loss 0.0481, time 0.6763 +Val 38/300, loss 1.6130, time 0.0754 | acc 0.7627 | pre 0.7619 | recall 0.8889 | f1 0.8205 +Train 39/300, loss 0.0553, time 0.6185 +Val 39/300, loss 1.5124, time 0.0765 | acc 0.7627 | pre 0.7619 | recall 0.8889 | f1 0.8205 +Train 40/300, loss 0.0342, time 0.6052 +Val 40/300, loss 1.4769, time 0.1766 | acc 0.7627 | pre 0.7619 | recall 0.8889 | f1 0.8205 +Train 41/300, loss 0.0425, 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| recall 0.8889 | f1 0.8889 +Train 49/300, loss 0.0095, time 0.6609 +Val 49/300, loss 1.2111, time 0.0753 | acc 0.8136 | pre 0.8378 | recall 0.8611 | f1 0.8493 +Train 50/300, loss 0.0147, time 0.6281 +Val 50/300, loss 1.3236, time 0.0760 | acc 0.8136 | pre 0.8205 | recall 0.8889 | f1 0.8533 +Train 51/300, loss 0.0121, time 0.6387 +Val 51/300, loss 1.2395, time 0.0769 | acc 0.7966 | pre 0.8000 | recall 0.8889 | f1 0.8421 +Train 52/300, loss 0.0143, time 0.6452 +Val 52/300, loss 0.8609, time 0.0763 | acc 0.8305 | pre 0.8421 | recall 0.8889 | f1 0.8649 +Train 53/300, loss 0.0131, time 0.6412 +Val 53/300, loss 0.9076, time 0.0766 | acc 0.8136 | pre 0.8378 | recall 0.8611 | f1 0.8493 +Train 54/300, loss 0.0063, time 0.6510 +Val 54/300, loss 0.9734, time 0.0769 | acc 0.8136 | pre 0.8378 | recall 0.8611 | f1 0.8493 +Train 55/300, loss 0.0024, time 0.6573 +Val 55/300, loss 1.0900, time 0.0769 | acc 0.7966 | pre 0.8158 | recall 0.8611 | f1 0.8378 +Train 56/300, loss 0.0025, time 0.6511 +Val 56/300, loss 1.2103, time 0.0769 | acc 0.7966 | pre 0.8158 | recall 0.8611 | f1 0.8378 +Train 57/300, loss 0.0024, time 0.6400 +Val 57/300, loss 1.3296, time 0.0772 | acc 0.7797 | pre 0.7949 | recall 0.8611 | f1 0.8267 +Train 58/300, loss 0.0010, time 0.6319 +Val 58/300, loss 1.4193, time 0.0752 | acc 0.7797 | pre 0.7949 | recall 0.8611 | f1 0.8267 +Train 59/300, loss 0.0032, time 0.6380 +Val 59/300, loss 1.3482, time 0.0836 | acc 0.7966 | pre 0.8158 | recall 0.8611 | f1 0.8378 +Train 60/300, loss 0.0013, time 0.6508 +Val 60/300, loss 1.3513, time 0.0752 | acc 0.7966 | pre 0.8158 | recall 0.8611 | f1 0.8378 +Train 61/300, loss 0.0033, time 0.6358 +Val 61/300, loss 1.3929, time 0.0752 | acc 0.8136 | pre 0.8378 | recall 0.8611 | f1 0.8493 +Train 62/300, loss 0.0006, time 0.6324 +Val 62/300, loss 1.5456, time 0.0751 | acc 0.7966 | pre 0.8158 | recall 0.8611 | f1 0.8378 +Train 63/300, loss 0.0049, time 0.6360 +Val 63/300, loss 1.5784, time 0.0741 | acc 0.7966 | pre 0.8158 | recall 0.8611 | f1 0.8378 +Train 64/300, loss 0.0184, time 0.6288 +Val 64/300, loss 1.5023, time 0.0747 | acc 0.7627 | pre 0.7619 | recall 0.8889 | f1 0.8205 +Train 65/300, loss 0.0531, time 0.6317 +Val 65/300, loss 1.9066, time 0.0752 | acc 0.6949 | pre 0.6800 | recall 0.9444 | f1 0.7907 +Train 66/300, loss 0.0252, time 0.6354 +Val 66/300, loss 0.7852, time 0.0736 | acc 0.8136 | pre 0.8378 | recall 0.8611 | f1 0.8493 +Train 67/300, loss 0.0375, time 0.6296 +Val 67/300, loss 0.8973, time 0.0750 | acc 0.7966 | pre 0.8000 | recall 0.8889 | f1 0.8421 +Train 68/300, loss 0.0253, time 0.6410 +Val 68/300, loss 1.3069, time 0.0757 | acc 0.7966 | pre 0.7857 | recall 0.9167 | f1 0.8462 +Train 69/300, loss 0.0473, time 0.6292 +Val 69/300, loss 1.2580, time 0.0735 | acc 0.7966 | pre 0.8000 | recall 0.8889 | f1 0.8421 +Train 70/300, loss 0.0172, time 0.6393 +Val 70/300, loss 1.1226, time 0.0751 | acc 0.8136 | pre 0.8205 | recall 0.8889 | f1 0.8533 +Train 71/300, loss 0.0081, time 0.6350 +Val 71/300, loss 1.0603, time 0.0755 | acc 0.7966 | pre 0.8000 | recall 0.8889 | f1 0.8421 +Train 72/300, loss 0.0109, time 0.6431 +Val 72/300, loss 1.0667, time 0.0755 | acc 0.8136 | pre 0.8378 | recall 0.8611 | f1 0.8493 +Train 73/300, loss 0.0199, time 0.6493 +Val 73/300, loss 1.0632, time 0.0756 | acc 0.8305 | pre 0.8421 | recall 0.8889 | f1 0.8649 +Train 74/300, loss 0.0145, time 0.6319 +Val 74/300, loss 1.0944, time 0.0753 | acc 0.8305 | pre 0.8421 | recall 0.8889 | f1 0.8649 +Train 75/300, loss 0.0041, time 0.6390 +Val 75/300, loss 1.1561, time 0.0755 | acc 0.8475 | pre 0.8649 | recall 0.8889 | f1 0.8767 +Train 76/300, loss 0.0031, time 0.6407 +Val 76/300, loss 1.2105, time 0.0753 | acc 0.8305 | pre 0.8421 | recall 0.8889 | f1 0.8649 +Train 77/300, loss 0.0145, time 0.6655 +Val 77/300, loss 1.3058, time 0.0756 | acc 0.7966 | pre 0.7857 | recall 0.9167 | f1 0.8462 +Train 78/300, loss 0.0048, time 0.6342 +Val 78/300, loss 1.1350, time 0.0768 | acc 0.8475 | pre 0.8462 | recall 0.9167 | f1 0.8800 +Train 79/300, loss 0.0070, time 0.6380 +Val 79/300, loss 1.1095, time 0.0767 | acc 0.8644 | pre 0.8684 | recall 0.9167 | f1 0.8919 +Train 80/300, loss 0.0017, time 0.6739 +Val 80/300, loss 1.1060, time 0.0781 | acc 0.8475 | pre 0.8649 | recall 0.8889 | f1 0.8767 +Train 81/300, loss 0.0034, time 0.6495 +Val 81/300, loss 1.1658, time 0.0766 | acc 0.8136 | pre 0.8205 | recall 0.8889 | f1 0.8533 +Train 82/300, loss 0.0025, time 0.6416 +Val 82/300, loss 1.1711, time 0.0790 | acc 0.8136 | pre 0.8049 | recall 0.9167 | f1 0.8571 +Train 83/300, loss 0.0022, time 0.6358 +Val 83/300, loss 1.2111, time 0.0759 | acc 0.8136 | pre 0.8049 | recall 0.9167 | f1 0.8571 +Train 84/300, loss 0.0020, time 0.6432 +Val 84/300, loss 1.2581, time 0.0768 | acc 0.8305 | pre 0.8250 | recall 0.9167 | f1 0.8684 +Train 85/300, loss 0.0011, time 0.6462 +Val 85/300, loss 1.2640, time 0.0768 | acc 0.8136 | pre 0.8049 | recall 0.9167 | f1 0.8571 +Train 86/300, loss 0.0005, time 0.6410 +Val 86/300, loss 1.2456, time 0.0768 | acc 0.8136 | pre 0.8049 | recall 0.9167 | f1 0.8571 +Train 87/300, loss 0.0008, time 0.6628 +Val 87/300, loss 1.2401, time 0.0768 | acc 0.8136 | pre 0.8049 | recall 0.9167 | f1 0.8571 +Train 88/300, loss 0.0007, time 0.6477 +Val 88/300, loss 1.2530, time 0.0771 | acc 0.8136 | pre 0.8205 | recall 0.8889 | f1 0.8533 +Train 89/300, loss 0.0006, time 0.6550 +Val 89/300, loss 1.2719, time 0.0768 | acc 0.8305 | pre 0.8250 | recall 0.9167 | f1 0.8684 +Train 90/300, loss 0.0013, time 0.6489 +Val 90/300, loss 1.3139, time 0.0767 | acc 0.8136 | pre 0.8049 | recall 0.9167 | f1 0.8571 +Train 91/300, loss 0.0007, time 0.6496 +Val 91/300, loss 1.2813, time 0.0767 | acc 0.7966 | pre 0.8000 | recall 0.8889 | f1 0.8421 +Train 92/300, loss 0.0055, time 0.6372 +Val 92/300, loss 1.2436, time 0.0766 | acc 0.8136 | pre 0.8205 | recall 0.8889 | f1 0.8533 +Train 93/300, loss 0.0022, time 0.6419 +Val 93/300, loss 1.4341, time 0.0765 | acc 0.8136 | pre 0.8049 | recall 0.9167 | f1 0.8571 +Train 94/300, loss 0.0024, time 0.6532 +Val 94/300, loss 1.5321, time 0.0769 | acc 0.8136 | pre 0.8049 | recall 0.9167 | f1 0.8571 +Train 95/300, loss 0.0127, time 0.6419 +Val 95/300, loss 1.4631, time 0.0769 | acc 0.7966 | pre 0.8000 | recall 0.8889 | f1 0.8421 +Train 96/300, loss 0.0125, time 0.6396 +Val 96/300, loss 1.5071, time 0.0763 | acc 0.8136 | pre 0.8205 | recall 0.8889 | f1 0.8533 +Train 97/300, loss 0.0057, time 0.6447 +Val 97/300, loss 1.6462, time 0.0763 | acc 0.7288 | pre 0.7174 | recall 0.9167 | f1 0.8049 +Train 98/300, loss 0.0232, time 0.6453 +Val 98/300, loss 1.3916, time 0.0764 | acc 0.8305 | pre 0.8250 | recall 0.9167 | f1 0.8684 +Train 99/300, loss 0.0170, time 0.6480 +Val 99/300, loss 1.4559, time 0.0768 | acc 0.8136 | pre 0.8049 | recall 0.9167 | f1 0.8571 +Train 100/300, loss 0.0057, time 0.6547 +Val 100/300, loss 1.5157, time 0.0768 | acc 0.7966 | pre 0.7857 | recall 0.9167 | f1 0.8462 +Train 101/300, loss 0.0027, time 0.6380 +Val 101/300, loss 1.4175, time 0.0768 | acc 0.8475 | pre 0.8462 | recall 0.9167 | f1 0.8800 +Train 102/300, loss 0.0016, time 0.6412 +Val 102/300, loss 1.4010, time 0.0768 | acc 0.8305 | pre 0.8421 | recall 0.8889 | f1 0.8649 +Train 103/300, loss 0.0083, time 0.6507 +Val 103/300, loss 1.3032, time 0.0770 | acc 0.8136 | pre 0.8049 | recall 0.9167 | f1 0.8571 +Train 104/300, loss 0.0031, time 0.6489 +Val 104/300, loss 1.3513, time 0.0784 | acc 0.8136 | pre 0.8049 | recall 0.9167 | f1 0.8571 +Train 105/300, loss 0.0015, time 0.6431 +Val 105/300, loss 1.4026, time 0.0765 | acc 0.7966 | pre 0.7857 | recall 0.9167 | f1 0.8462 +Train 106/300, loss 0.0051, time 0.6408 +Val 106/300, loss 1.3961, time 0.0772 | acc 0.8136 | pre 0.8049 | recall 0.9167 | f1 0.8571 +Train 107/300, loss 0.0007, time 0.7125 +Val 107/300, loss 1.4430, time 0.0734 | acc 0.7966 | pre 0.7857 | recall 0.9167 | f1 0.8462 +Train 108/300, loss 0.0099, time 0.6272 +Val 108/300, loss 1.4838, time 0.0769 | acc 0.7966 | pre 0.7857 | recall 0.9167 | f1 0.8462 +Train 109/300, loss 0.0015, time 0.6934 +Val 109/300, loss 1.3908, time 0.0738 | acc 0.7966 | pre 0.7857 | recall 0.9167 | f1 0.8462 +Train 110/300, loss 0.0018, time 0.6299 +Val 110/300, loss 1.3913, time 0.0764 | acc 0.7966 | pre 0.7857 | recall 0.9167 | f1 0.8462 +Train 111/300, loss 0.0004, time 0.6975 +Val 111/300, loss 1.3189, time 0.0723 | acc 0.8475 | pre 0.8462 | recall 0.9167 | f1 0.8800 +Train 112/300, loss 0.0011, time 0.6078 +Val 112/300, loss 1.3893, time 0.0748 | acc 0.8305 | pre 0.8250 | recall 0.9167 | f1 0.8684 +Train 113/300, loss 0.0045, time 0.7190 +Val 113/300, loss 1.4223, time 0.0720 | acc 0.8136 | pre 0.8049 | recall 0.9167 | f1 0.8571 +Train 114/300, loss 0.0015, time 0.6298 +Val 114/300, loss 1.4220, time 0.0753 | acc 0.8305 | pre 0.8250 | recall 0.9167 | f1 0.8684 +Train 115/300, loss 0.0049, time 0.6418 +Val 115/300, loss 1.3494, time 0.0720 | acc 0.8305 | pre 0.8250 | recall 0.9167 | f1 0.8684 +Train 116/300, loss 0.0026, time 0.6200 +Val 116/300, loss 1.2657, time 0.0759 | acc 0.8136 | pre 0.8205 | recall 0.8889 | f1 0.8533 +Train 117/300, loss 0.0007, time 0.6454 +Val 117/300, loss 1.2952, time 0.0798 | acc 0.8136 | pre 0.8205 | recall 0.8889 | f1 0.8533 +Train 118/300, loss 0.0016, time 0.5548 +Val 118/300, loss 1.3374, time 0.0752 | acc 0.8305 | pre 0.8250 | recall 0.9167 | f1 0.8684 +Train 119/300, loss 0.0004, time 0.5632 +Val 119/300, loss 1.3736, time 0.0758 | acc 0.8305 | pre 0.8250 | recall 0.9167 | f1 0.8684 +Train 120/300, loss 0.0020, time 0.5826 +Val 120/300, loss 1.4386, time 0.0755 | acc 0.8136 | pre 0.8049 | recall 0.9167 | f1 0.8571 +Train 121/300, loss 0.0051, time 0.5567 +Val 121/300, loss 1.4150, time 0.0767 | acc 0.8305 | pre 0.8250 | recall 0.9167 | f1 0.8684 +Train 122/300, loss 0.0274, time 0.6121 +Val 122/300, loss 1.6358, time 0.0737 | acc 0.8475 | pre 0.9091 | recall 0.8333 | f1 0.8696 +Train 123/300, loss 0.0102, time 0.6119 +Val 123/300, loss 1.4602, time 0.0764 | acc 0.8475 | pre 0.8649 | recall 0.8889 | f1 0.8767 +Train 124/300, loss 0.0515, time 0.6719 +Val 124/300, loss 1.7967, time 0.0739 | acc 0.8305 | pre 0.8250 | recall 0.9167 | f1 0.8684 +Train 125/300, loss 0.0393, time 0.6497 +Val 125/300, loss 1.9596, time 0.0784 | acc 0.7627 | pre 0.7619 | recall 0.8889 | f1 0.8205 +Train 126/300, loss 0.0442, time 0.7124 +Val 126/300, loss 1.7924, time 0.0724 | acc 0.7797 | pre 0.7447 | recall 0.9722 | f1 0.8434 +Train 127/300, loss 0.1159, time 0.6318 +Val 127/300, loss 2.2447, time 0.0776 | acc 0.6441 | pre 0.8000 | recall 0.5556 | f1 0.6557 +Train 128/300, loss 0.0786, time 0.7100 +Val 128/300, loss 2.2726, time 0.0742 | acc 0.7627 | pre 0.7619 | recall 0.8889 | f1 0.8205 +Train 129/300, loss 0.1770, time 0.6364 +Val 129/300, loss 1.6135, time 0.0773 | acc 0.7627 | pre 0.7619 | recall 0.8889 | f1 0.8205 +Train 130/300, loss 0.0324, time 0.7127 +Val 130/300, loss 1.3786, time 0.0734 | acc 0.7627 | pre 0.7619 | recall 0.8889 | f1 0.8205 +Train 131/300, loss 0.0521, time 0.6199 +Val 131/300, loss 1.2475, 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0.8205 +Train 139/300, loss 0.0033, time 0.6541 +Val 139/300, loss 1.5494, time 0.0781 | acc 0.7797 | pre 0.7805 | recall 0.8889 | f1 0.8312 +Train 140/300, loss 0.0036, time 0.6485 +Val 140/300, loss 1.6070, time 0.0780 | acc 0.7627 | pre 0.7619 | recall 0.8889 | f1 0.8205 +Train 141/300, loss 0.0045, time 0.6545 +Val 141/300, loss 1.6439, time 0.0781 | acc 0.7627 | pre 0.7619 | recall 0.8889 | f1 0.8205 +Train 142/300, loss 0.0135, time 0.6511 +Val 142/300, loss 1.6684, time 0.0772 | acc 0.7458 | pre 0.7442 | recall 0.8889 | f1 0.8101 +Train 143/300, loss 0.0067, time 0.6597 +Val 143/300, loss 1.6192, time 0.0781 | acc 0.7966 | pre 0.7857 | recall 0.9167 | f1 0.8462 +Train 144/300, loss 0.0027, time 0.6558 +Val 144/300, loss 1.5478, time 0.0785 | acc 0.7797 | pre 0.7805 | recall 0.8889 | f1 0.8312 +Train 145/300, loss 0.0014, time 0.6502 +Val 145/300, loss 1.6453, time 0.0780 | acc 0.7966 | pre 0.7857 | recall 0.9167 | f1 0.8462 +Train 146/300, loss 0.0073, time 0.6581 +Val 146/300, loss 1.7171, time 0.0779 | acc 0.7797 | pre 0.7674 | recall 0.9167 | f1 0.8354 +Train 147/300, loss 0.0102, time 0.6571 +Val 147/300, loss 1.8249, time 0.0780 | acc 0.7458 | pre 0.7333 | recall 0.9167 | f1 0.8148 +Train 148/300, loss 0.0006, time 0.6411 +Val 148/300, loss 1.5855, time 0.0779 | acc 0.7797 | pre 0.7674 | recall 0.9167 | f1 0.8354 +Train 149/300, loss 0.0164, time 0.6585 +Val 149/300, loss 1.8693, time 0.0781 | acc 0.7797 | pre 0.7556 | recall 0.9444 | f1 0.8395 +Train 150/300, loss 0.0207, time 0.6429 +Val 150/300, loss 1.6611, time 0.0783 | acc 0.7797 | pre 0.7674 | recall 0.9167 | f1 0.8354 +Train 151/300, loss 0.0186, time 0.6627 +Val 151/300, loss 1.4931, time 0.0780 | acc 0.7966 | pre 0.7857 | recall 0.9167 | f1 0.8462 +Train 152/300, loss 0.0415, time 0.6466 +Val 152/300, loss 1.4786, time 0.0778 | acc 0.8136 | pre 0.8049 | recall 0.9167 | f1 0.8571 +Train 153/300, loss 0.0045, time 0.6540 +Val 153/300, loss 1.7163, time 0.0780 | acc 0.7797 | pre 0.7674 | recall 0.9167 | f1 0.8354 +Train 154/300, loss 0.0055, time 0.6486 +Val 154/300, loss 1.8204, time 0.0782 | acc 0.7797 | pre 0.7674 | recall 0.9167 | f1 0.8354 +Train 155/300, loss 0.0107, time 0.6701 +Val 155/300, loss 1.8300, time 0.0766 | acc 0.7966 | pre 0.7857 | recall 0.9167 | f1 0.8462 +Train 156/300, loss 0.0067, time 0.6477 +Val 156/300, loss 1.7275, time 0.0764 | acc 0.7966 | pre 0.7857 | recall 0.9167 | f1 0.8462 +Train 157/300, loss 0.0020, time 0.6436 +Val 157/300, loss 1.5179, time 0.0769 | acc 0.7966 | pre 0.7857 | recall 0.9167 | f1 0.8462 +Train 158/300, loss 0.0066, time 0.6405 +Val 158/300, loss 1.4583, time 0.0764 | acc 0.7797 | pre 0.7805 | recall 0.8889 | f1 0.8312 +Train 159/300, loss 0.0036, time 0.6389 +Val 159/300, loss 1.4829, time 0.0762 | acc 0.7797 | pre 0.7805 | recall 0.8889 | f1 0.8312 +Train 160/300, loss 0.0025, time 0.6362 +Val 160/300, loss 1.3921, time 0.0748 | acc 0.8136 | pre 0.8205 | recall 0.8889 | f1 0.8533 +Train 161/300, loss 0.0042, time 0.6341 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0.7619 | recall 0.8889 | f1 0.8205 +Train 169/300, loss 0.0006, time 0.6312 +Val 169/300, loss 1.7397, time 0.0750 | acc 0.7627 | pre 0.7619 | recall 0.8889 | f1 0.8205 +Train 170/300, loss 0.0017, time 0.6309 +Val 170/300, loss 1.7753, time 0.0749 | acc 0.7627 | pre 0.7619 | recall 0.8889 | f1 0.8205 +Train 171/300, loss 0.0005, time 0.6358 +Val 171/300, loss 1.8088, time 0.0747 | acc 0.7627 | pre 0.7619 | recall 0.8889 | f1 0.8205 +Train 172/300, loss 0.0007, time 0.6286 +Val 172/300, loss 1.8485, time 0.0748 | acc 0.7627 | pre 0.7619 | recall 0.8889 | f1 0.8205 +Train 173/300, loss 0.0006, time 0.6358 +Val 173/300, loss 1.8620, time 0.0736 | acc 0.7627 | pre 0.7619 | recall 0.8889 | f1 0.8205 +Train 174/300, loss 0.0004, time 0.6407 +Val 174/300, loss 1.8842, time 0.0752 | acc 0.7627 | pre 0.7619 | recall 0.8889 | f1 0.8205 +Train 175/300, loss 0.0031, time 0.6338 +Val 175/300, loss 1.9465, time 0.0755 | acc 0.7627 | pre 0.7500 | recall 0.9167 | f1 0.8250 +Train 176/300, loss 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0.8205 +Train 206/300, loss 0.0002, time 0.6332 +Val 206/300, loss 1.8619, time 0.0773 | acc 0.7627 | pre 0.7619 | recall 0.8889 | f1 0.8205 +Train 207/300, loss 0.0001, time 0.6524 +Val 207/300, loss 1.8381, time 0.0758 | acc 0.7627 | pre 0.7619 | recall 0.8889 | f1 0.8205 +Train 208/300, loss 0.0003, time 0.6407 +Val 208/300, loss 1.8418, time 0.0769 | acc 0.7627 | pre 0.7619 | recall 0.8889 | f1 0.8205 +Train 209/300, loss 0.0002, time 0.6958 +Val 209/300, loss 1.8398, time 0.0736 | acc 0.7627 | pre 0.7619 | recall 0.8889 | f1 0.8205 +Train 210/300, loss 0.0005, time 0.6047 +Val 210/300, loss 1.8764, time 0.0764 | acc 0.7627 | pre 0.7619 | recall 0.8889 | f1 0.8205 +Train 211/300, loss 0.0001, time 0.6665 +Val 211/300, loss 1.8125, time 0.0738 | acc 0.7797 | pre 0.7805 | recall 0.8889 | f1 0.8312 +Train 212/300, loss 0.0004, time 0.6401 +Val 212/300, loss 1.8481, time 0.0767 | acc 0.7797 | pre 0.7805 | recall 0.8889 | f1 0.8312 +Train 213/300, loss 0.0003, time 0.6466 +Val 213/300, 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0.8889 | f1 0.8312 +Train 221/300, loss 0.0002, time 0.6384 +Val 221/300, loss 1.9825, time 0.0768 | acc 0.7797 | pre 0.7805 | recall 0.8889 | f1 0.8312 +Train 222/300, loss 0.0002, time 0.6354 +Val 222/300, loss 2.0552, time 0.0767 | acc 0.7797 | pre 0.7805 | recall 0.8889 | f1 0.8312 +Train 223/300, loss 0.0005, time 0.6373 +Val 223/300, loss 2.0804, time 0.0766 | acc 0.7627 | pre 0.7619 | recall 0.8889 | f1 0.8205 +Train 224/300, loss 0.0001, time 0.6395 +Val 224/300, loss 2.0318, time 0.0768 | acc 0.7627 | pre 0.7619 | recall 0.8889 | f1 0.8205 +Train 225/300, loss 0.0004, time 0.6501 +Val 225/300, loss 2.0970, time 0.0768 | acc 0.7627 | pre 0.7619 | recall 0.8889 | f1 0.8205 +Train 226/300, loss 0.0002, time 0.6389 +Val 226/300, loss 2.0995, time 0.0771 | acc 0.7627 | pre 0.7619 | recall 0.8889 | f1 0.8205 +Train 227/300, loss 0.0002, time 0.6356 +Val 227/300, loss 2.0689, time 0.0767 | acc 0.7627 | pre 0.7619 | recall 0.8889 | f1 0.8205 +Train 228/300, loss 0.0002, time 0.6482 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0.7619 | recall 0.8889 | f1 0.8205 +Train 236/300, loss 0.0001, time 0.6460 +Val 236/300, loss 1.9590, time 0.0768 | acc 0.7627 | pre 0.7619 | recall 0.8889 | f1 0.8205 +Train 237/300, loss 0.0000, time 0.6361 +Val 237/300, loss 1.9542, time 0.0768 | acc 0.7627 | pre 0.7619 | recall 0.8889 | f1 0.8205 +Train 238/300, loss 0.0002, time 0.6492 +Val 238/300, loss 1.9586, time 0.0767 | acc 0.7627 | pre 0.7619 | recall 0.8889 | f1 0.8205 +Train 239/300, loss 0.0001, time 0.6365 +Val 239/300, loss 1.9956, time 0.0769 | acc 0.7627 | pre 0.7619 | recall 0.8889 | f1 0.8205 +Train 240/300, loss 0.0001, time 0.6470 +Val 240/300, loss 2.0031, time 0.0771 | acc 0.7627 | pre 0.7619 | recall 0.8889 | f1 0.8205 +Train 241/300, loss 0.0005, time 0.6389 +Val 241/300, loss 1.9452, time 0.0770 | acc 0.7627 | pre 0.7619 | recall 0.8889 | f1 0.8205 +Train 242/300, loss 0.0001, time 0.6510 +Val 242/300, loss 1.9361, time 0.0768 | acc 0.7627 | pre 0.7619 | recall 0.8889 | f1 0.8205 +Train 243/300, loss 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258/300, loss 0.1809, time 0.6369 +Val 258/300, loss 1.9434, time 0.0769 | acc 0.8305 | pre 0.8095 | recall 0.9444 | f1 0.8718 +Train 259/300, loss 0.0416, time 0.6337 +Val 259/300, loss 1.9757, time 0.0767 | acc 0.7797 | pre 0.7556 | recall 0.9444 | f1 0.8395 +Train 260/300, loss 0.0963, time 0.6443 +Val 260/300, loss 2.0135, time 0.0767 | acc 0.7458 | pre 0.7234 | recall 0.9444 | f1 0.8193 +Train 261/300, loss 0.2159, time 0.6392 +Val 261/300, loss 1.9212, time 0.0768 | acc 0.6949 | pre 0.8214 | recall 0.6389 | f1 0.7187 +Train 262/300, loss 0.0789, time 0.6395 +Val 262/300, loss 1.9188, time 0.0771 | acc 0.6780 | pre 0.7297 | recall 0.7500 | f1 0.7397 +Train 263/300, loss 0.0892, time 0.6421 +Val 263/300, loss 1.7770, time 0.0766 | acc 0.7627 | pre 0.7750 | recall 0.8611 | f1 0.8158 +Train 264/300, loss 0.0508, time 0.6459 +Val 264/300, loss 1.8620, time 0.0766 | acc 0.7966 | pre 0.7727 | recall 0.9444 | f1 0.8500 +Train 265/300, loss 0.0513, time 0.6408 +Val 265/300, loss 1.6524, time 0.0764 | acc 0.7797 | pre 0.7949 | recall 0.8611 | f1 0.8267 +Train 266/300, loss 0.0463, time 0.6437 +Val 266/300, loss 1.9022, time 0.0768 | acc 0.6780 | pre 0.7576 | recall 0.6944 | f1 0.7246 +Train 267/300, loss 0.0514, time 0.6554 +Val 267/300, loss 1.6214, time 0.0775 | acc 0.7458 | pre 0.8182 | recall 0.7500 | f1 0.7826 +Train 268/300, loss 0.0573, time 0.6469 +Val 268/300, loss 1.7699, time 0.0771 | acc 0.7458 | pre 0.7561 | recall 0.8611 | f1 0.8052 +Train 269/300, loss 0.0264, time 0.6536 +Val 269/300, loss 1.8151, time 0.0770 | acc 0.7627 | pre 0.7619 | recall 0.8889 | f1 0.8205 +Train 270/300, loss 0.0244, time 0.6400 +Val 270/300, loss 1.9085, time 0.0773 | acc 0.7627 | pre 0.7619 | recall 0.8889 | f1 0.8205 +Train 271/300, loss 0.1250, time 0.6481 +Val 271/300, loss 1.5708, time 0.0771 | acc 0.7458 | pre 0.7333 | recall 0.9167 | f1 0.8148 +Train 272/300, loss 0.0502, time 0.6394 +Val 272/300, loss 1.5756, time 0.0768 | acc 0.7458 | pre 0.7333 | recall 0.9167 | f1 0.8148 +Train 273/300, loss 0.0759, time 0.6367 +Val 273/300, loss 1.5580, time 0.1779 | acc 0.7627 | pre 0.7619 | recall 0.8889 | f1 0.8205 +Train 274/300, loss 0.0285, time 0.6221 +Val 274/300, loss 1.1670, time 0.0764 | acc 0.7458 | pre 0.7692 | recall 0.8333 | f1 0.8000 +Train 275/300, loss 0.0284, time 0.5939 +Val 275/300, loss 1.2225, time 0.0766 | acc 0.7627 | pre 0.7619 | recall 0.8889 | f1 0.8205 +Train 276/300, loss 0.0144, time 0.6883 +Val 276/300, loss 1.4848, time 0.0759 | acc 0.7627 | pre 0.7500 | recall 0.9167 | f1 0.8250 +Train 277/300, loss 0.0257, time 0.6289 +Val 277/300, loss 1.7164, time 0.0760 | acc 0.7458 | pre 0.7442 | recall 0.8889 | f1 0.8101 +Train 278/300, loss 0.0127, time 0.6508 +Val 278/300, loss 1.6988, time 0.0738 | acc 0.7627 | pre 0.7619 | recall 0.8889 | f1 0.8205 +Train 279/300, loss 0.0038, time 0.6853 +Val 279/300, loss 1.6221, time 0.0737 | acc 0.7458 | pre 0.7442 | recall 0.8889 | f1 0.8101 +Train 280/300, loss 0.0049, time 0.6424 +Val 280/300, loss 1.7280, time 0.0741 | acc 0.7458 | pre 0.7442 | recall 0.8889 | f1 0.8101 +Train 281/300, loss 0.0077, time 0.6409 +Val 281/300, loss 1.8118, time 0.0752 | acc 0.7797 | pre 0.7805 | recall 0.8889 | f1 0.8312 +Train 282/300, loss 0.0044, time 0.6207 +Val 282/300, loss 1.8598, time 0.0735 | acc 0.7458 | pre 0.7442 | recall 0.8889 | f1 0.8101 +Train 283/300, loss 0.0033, time 0.6025 +Val 283/300, loss 1.8683, time 0.0752 | acc 0.7966 | pre 0.8000 | recall 0.8889 | f1 0.8421 +Train 284/300, loss 0.0018, time 0.6840 +Val 284/300, loss 1.8122, time 0.0743 | acc 0.7966 | pre 0.8000 | recall 0.8889 | f1 0.8421 +Train 285/300, loss 0.0063, time 0.6281 +Val 285/300, loss 1.8348, time 0.0755 | acc 0.7966 | pre 0.8000 | recall 0.8889 | f1 0.8421 +Train 286/300, loss 0.0107, time 0.6770 +Val 286/300, loss 1.9050, time 0.0748 | acc 0.7966 | pre 0.8000 | recall 0.8889 | f1 0.8421 +Train 287/300, loss 0.0076, time 0.6416 +Val 287/300, loss 2.2110, time 0.0753 | acc 0.7797 | pre 0.7805 | recall 0.8889 | f1 0.8312 +Train 288/300, loss 0.0191, time 0.7027 +Val 288/300, loss 2.2085, time 0.0720 | acc 0.7458 | pre 0.7333 | recall 0.9167 | f1 0.8148 +Train 289/300, loss 0.0056, time 0.6242 +Val 289/300, loss 1.9938, time 0.0758 | acc 0.7627 | pre 0.7500 | recall 0.9167 | f1 0.8250 +Train 290/300, loss 0.0062, time 0.6897 +Val 290/300, loss 1.7692, time 0.0723 | acc 0.7966 | pre 0.7857 | recall 0.9167 | f1 0.8462 +Train 291/300, loss 0.0021, time 0.6367 +Val 291/300, loss 1.7016, time 0.0763 | acc 0.7966 | pre 0.7857 | recall 0.9167 | f1 0.8462 +Train 292/300, loss 0.0022, time 0.7129 +Val 292/300, loss 1.6332, time 0.0712 | acc 0.7966 | pre 0.7857 | recall 0.9167 | f1 0.8462 +Train 293/300, loss 0.0018, time 0.6074 +Val 293/300, loss 1.6053, time 0.0750 | acc 0.7966 | pre 0.7857 | recall 0.9167 | f1 0.8462 +Train 294/300, loss 0.0093, time 0.6328 +Val 294/300, loss 1.5671, time 0.0729 | acc 0.7627 | pre 0.7619 | recall 0.8889 | f1 0.8205 +Train 295/300, loss 0.0278, time 0.6149 +Val 295/300, loss 1.5255, time 0.0754 | acc 0.7797 | pre 0.7949 | recall 0.8611 | f1 0.8267 +Train 296/300, loss 0.0330, time 0.6433 +Val 296/300, loss 1.6698, time 0.0743 | acc 0.7119 | pre 0.7714 | recall 0.7500 | f1 0.7606 +Train 297/300, loss 0.0118, time 0.6491 +Val 297/300, loss 1.8316, time 0.0773 | acc 0.7627 | pre 0.7895 | recall 0.8333 | f1 0.8108 +Train 298/300, loss 0.0064, time 0.6991 +Val 298/300, loss 2.0144, time 0.0744 | acc 0.7966 | pre 0.8000 | recall 0.8889 | f1 0.8421 +Train 299/300, loss 0.0278, time 0.5555 +Val 299/300, loss 2.2033, time 0.0755 | acc 0.7627 | pre 0.7619 | recall 0.8889 | f1 0.8205 +Train 300/300, loss 0.0070, time 0.6018 +Val 300/300, loss 2.1727, time 0.0761 | acc 0.7458 | pre 0.7442 | recall 0.8889 | f1 0.8101 +best epoch: 47 acc: 0.8644 | Precision: 0.8889 | recall 0.8889 | f1 0.8889 +Total time: 216.5004 +Fold 5 / 5 +GraphTransformer( + (embedding): Linear(in_features=4096, out_features=256, bias=False) + (encoder): GraphTransformerEncoder( + (layers): ModuleList( + (0-2): 3 x TransformerEncoderLayer( + (self_attn): Attention() + (linear1): Linear(in_features=256, out_features=128, bias=True) + (dropout): Dropout(p=0.1, inplace=False) + (linear2): Linear(in_features=128, out_features=256, bias=True) + (norm1): BatchNorm1d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (norm2): BatchNorm1d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (dropout1): Dropout(p=0.1, inplace=False) + (dropout2): Dropout(p=0.1, inplace=False) + ) + ) + ) + (classifier): Sequential( + (0): Linear(in_features=256, out_features=256, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=256, out_features=2, bias=True) + ) +) +Total number of parameters: 3096706 +Extracting 2-hop subgraphs... +Done! +Extracting 2-hop subgraphs... +Done! +Training... +Train 1/300, loss 0.4835, time 0.6522 +Val 1/300, loss 0.6631, time 0.0750 | acc 0.6379 | pre 0.6316 | recall 1.0000 | f1 0.7742 +Train 2/300, loss 0.3121, time 0.6362 +Val 2/300, loss 0.6460, time 0.0725 | acc 0.8103 | pre 0.9310 | recall 0.7500 | f1 0.8308 +Train 3/300, loss 0.1965, time 0.6543 +Val 3/300, loss 0.6293, time 0.0740 | acc 0.8276 | pre 0.8095 | recall 0.9444 | f1 0.8718 +Train 4/300, loss 0.1861, time 0.6546 +Val 4/300, loss 0.5323, time 0.0738 | acc 0.8276 | pre 0.7955 | recall 0.9722 | f1 0.8750 +Train 5/300, loss 0.1755, time 0.6524 +Val 5/300, loss 0.4695, time 0.0736 | acc 0.8276 | pre 0.7955 | recall 0.9722 | f1 0.8750 +Train 6/300, loss 0.1465, time 0.6537 +Val 6/300, loss 0.4459, time 0.0739 | acc 0.8621 | pre 0.9118 | recall 0.8611 | f1 0.8857 +Train 7/300, loss 0.1312, time 0.6545 +Val 7/300, loss 0.3062, time 0.0741 | acc 0.8966 | pre 0.9167 | recall 0.9167 | f1 0.9167 +Train 8/300, loss 0.1037, time 0.6577 +Val 8/300, loss 0.2562, time 0.0724 | acc 0.9138 | pre 0.8780 | recall 1.0000 | f1 0.9351 +Train 9/300, loss 0.1048, time 0.6461 +Val 9/300, loss 0.2191, time 0.0724 | acc 0.8966 | pre 0.8750 | recall 0.9722 | f1 0.9211 +Train 10/300, loss 0.1419, time 0.6463 +Val 10/300, loss 0.1883, time 0.0723 | acc 0.9310 | pre 0.9444 | recall 0.9444 | f1 0.9444 +Train 11/300, loss 0.1281, time 0.6461 +Val 11/300, loss 0.3832, time 0.0724 | acc 0.8103 | pre 0.9032 | recall 0.7778 | f1 0.8358 +Train 12/300, loss 0.1042, time 0.6645 +Val 12/300, loss 0.4385, time 0.0724 | acc 0.8448 | pre 0.8462 | recall 0.9167 | f1 0.8800 +Train 13/300, loss 0.0894, time 0.6492 +Val 13/300, loss 0.2932, time 0.0722 | acc 0.9138 | pre 0.9189 | recall 0.9444 | f1 0.9315 +Train 14/300, loss 0.0425, time 0.6538 +Val 14/300, loss 0.3591, time 0.0722 | acc 0.8621 | pre 0.9375 | recall 0.8333 | f1 0.8824 +Train 15/300, loss 0.0596, time 0.6376 +Val 15/300, loss 0.3246, time 0.0708 | acc 0.9138 | pre 0.9429 | recall 0.9167 | f1 0.9296 +Train 16/300, loss 0.0704, time 0.6451 +Val 16/300, loss 1.4923, time 0.0741 | acc 0.7241 | pre 0.6923 | recall 1.0000 | f1 0.8182 +Train 17/300, loss 0.0581, time 0.6599 +Val 17/300, loss 1.1363, time 0.0709 | acc 0.8103 | pre 0.7660 | recall 1.0000 | f1 0.8675 +Train 18/300, loss 0.0411, time 0.6484 +Val 18/300, loss 0.4307, time 0.0707 | acc 0.9138 | pre 0.8780 | recall 1.0000 | f1 0.9351 +Train 19/300, loss 0.0761, time 0.6422 +Val 19/300, loss 0.3006, time 0.0723 | acc 0.9138 | pre 0.8974 | recall 0.9722 | f1 0.9333 +Train 20/300, loss 0.0482, time 0.6471 +Val 20/300, loss 0.3425, time 0.0723 | acc 0.9138 | pre 0.8974 | recall 0.9722 | f1 0.9333 +Train 21/300, loss 0.0392, time 0.6450 +Val 21/300, loss 0.2664, time 0.0722 | acc 0.9138 | pre 0.9429 | recall 0.9167 | f1 0.9296 +Train 22/300, loss 0.0430, time 0.6463 +Val 22/300, loss 0.3787, time 0.0727 | acc 0.8793 | pre 0.8718 | recall 0.9444 | f1 0.9067 +Train 23/300, loss 0.0366, time 0.6450 +Val 23/300, loss 0.3808, time 0.0723 | acc 0.8966 | pre 0.8947 | recall 0.9444 | f1 0.9189 +Train 24/300, loss 0.0653, time 0.6396 +Val 24/300, loss 0.3140, time 0.0723 | acc 0.8966 | pre 0.9167 | recall 0.9167 | f1 0.9167 +Train 25/300, loss 0.0243, time 0.6405 +Val 25/300, loss 0.2928, time 0.0707 | acc 0.8966 | pre 0.8750 | recall 0.9722 | f1 0.9211 +Train 26/300, loss 0.0279, time 0.6414 +Val 26/300, loss 0.3601, time 0.0707 | acc 0.9138 | pre 0.9189 | recall 0.9444 | f1 0.9315 +Train 27/300, loss 0.0154, time 0.6428 +Val 27/300, loss 0.3339, time 0.0711 | acc 0.9138 | pre 0.9189 | recall 0.9444 | f1 0.9315 +Train 28/300, loss 0.0133, time 0.6406 +Val 28/300, loss 0.2698, time 0.0707 | acc 0.9138 | pre 0.9189 | recall 0.9444 | f1 0.9315 +Train 29/300, loss 0.0284, time 0.6472 +Val 29/300, loss 0.2253, time 0.0710 | acc 0.9138 | pre 0.9189 | recall 0.9444 | f1 0.9315 +Train 30/300, loss 0.0138, time 0.6416 +Val 30/300, loss 0.3207, time 0.0706 | acc 0.9138 | pre 0.9189 | recall 0.9444 | f1 0.9315 +Train 31/300, loss 0.0097, time 0.6462 +Val 31/300, loss 0.3462, time 0.0721 | acc 0.9138 | pre 0.9189 | recall 0.9444 | f1 0.9315 +Train 32/300, loss 0.0131, time 0.6450 +Val 32/300, loss 0.3377, time 0.0707 | acc 0.9138 | pre 0.9189 | recall 0.9444 | f1 0.9315 +Train 33/300, loss 0.0042, time 0.6463 +Val 33/300, loss 0.3978, time 0.0709 | acc 0.9138 | pre 0.9189 | recall 0.9444 | f1 0.9315 +Train 34/300, loss 0.0060, time 0.6434 +Val 34/300, loss 0.4732, time 0.0708 | acc 0.9138 | pre 0.9189 | recall 0.9444 | f1 0.9315 +Train 35/300, loss 0.0201, time 0.6491 +Val 35/300, loss 0.3667, time 0.0709 | acc 0.9138 | pre 0.9189 | recall 0.9444 | f1 0.9315 +Train 36/300, loss 0.0147, time 0.6485 +Val 36/300, loss 0.4151, time 0.0710 | acc 0.9138 | pre 0.9189 | recall 0.9444 | f1 0.9315 +Train 37/300, loss 0.0067, time 0.6615 +Val 37/300, loss 0.4081, time 0.0709 | acc 0.9138 | pre 0.9189 | recall 0.9444 | f1 0.9315 +Train 38/300, loss 0.0066, time 0.6457 +Val 38/300, loss 0.4312, time 0.0707 | acc 0.9138 | pre 0.9189 | recall 0.9444 | f1 0.9315 +Train 39/300, loss 0.0032, time 0.6487 +Val 39/300, loss 0.4786, time 0.0708 | acc 0.9138 | pre 0.9189 | recall 0.9444 | f1 0.9315 +Train 40/300, loss 0.0049, time 0.6409 +Val 40/300, loss 0.4709, time 0.0708 | acc 0.9138 | pre 0.9189 | recall 0.9444 | f1 0.9315 +Train 41/300, loss 0.0029, time 0.6407 +Val 41/300, loss 0.4522, time 0.0710 | acc 0.9138 | pre 0.9189 | recall 0.9444 | f1 0.9315 +Train 42/300, loss 0.0032, time 0.6452 +Val 42/300, loss 0.4573, time 0.0713 | acc 0.9138 | pre 0.9189 | recall 0.9444 | f1 0.9315 +Train 43/300, loss 0.0017, time 0.6541 +Val 43/300, loss 0.4619, time 0.0725 | acc 0.9138 | pre 0.9189 | recall 0.9444 | f1 0.9315 +Train 44/300, loss 0.0010, time 0.6439 +Val 44/300, loss 0.4540, time 0.0710 | acc 0.9138 | pre 0.9189 | recall 0.9444 | f1 0.9315 +Train 45/300, loss 0.0006, time 0.6491 +Val 45/300, loss 0.4516, time 0.0709 | acc 0.9138 | pre 0.9189 | recall 0.9444 | f1 0.9315 +Train 46/300, loss 0.0039, time 0.6496 +Val 46/300, loss 0.4588, time 0.0724 | acc 0.9138 | pre 0.9189 | recall 0.9444 | f1 0.9315 +Train 47/300, loss 0.0015, time 0.6390 +Val 47/300, loss 0.4058, time 0.0710 | acc 0.9138 | pre 0.9189 | recall 0.9444 | f1 0.9315 +Train 48/300, loss 0.0016, time 0.6510 +Val 48/300, loss 0.4510, time 0.0709 | acc 0.9138 | pre 0.9189 | recall 0.9444 | f1 0.9315 +Train 49/300, loss 0.0020, time 0.6497 +Val 49/300, loss 0.5626, time 0.0705 | acc 0.9138 | pre 0.9189 | recall 0.9444 | f1 0.9315 +Train 50/300, loss 0.0016, time 0.6461 +Val 50/300, loss 0.6168, time 0.0707 | acc 0.9138 | pre 0.9189 | recall 0.9444 | f1 0.9315 +Train 51/300, loss 0.0015, time 0.6427 +Val 51/300, loss 0.5638, time 0.0710 | acc 0.9138 | pre 0.9189 | recall 0.9444 | f1 0.9315 +Train 52/300, loss 0.0003, time 0.6475 +Val 52/300, loss 0.5712, time 0.0708 | acc 0.9138 | pre 0.9189 | recall 0.9444 | f1 0.9315 +Train 53/300, loss 0.0020, time 0.6531 +Val 53/300, loss 0.5637, time 0.0726 | acc 0.9138 | pre 0.9189 | recall 0.9444 | f1 0.9315 +Train 54/300, loss 0.0008, time 0.6468 +Val 54/300, loss 0.5464, time 0.0706 | acc 0.9138 | pre 0.9189 | recall 0.9444 | f1 0.9315 +Train 55/300, loss 0.0012, time 0.6459 +Val 55/300, loss 0.5300, time 0.0705 | acc 0.9138 | pre 0.9189 | recall 0.9444 | f1 0.9315 +Train 56/300, loss 0.0007, time 0.6261 +Val 56/300, loss 0.5239, time 0.0722 | acc 0.9138 | pre 0.9189 | recall 0.9444 | f1 0.9315 +Train 57/300, loss 0.0014, time 0.6446 +Val 57/300, loss 0.5044, time 0.0739 | acc 0.9138 | pre 0.9189 | recall 0.9444 | f1 0.9315 +Train 58/300, loss 0.0005, time 0.6354 +Val 58/300, loss 0.5252, time 0.0728 | acc 0.9138 | pre 0.9189 | recall 0.9444 | f1 0.9315 +Train 59/300, loss 0.0011, time 0.6313 +Val 59/300, loss 0.5813, time 0.0736 | acc 0.9138 | pre 0.9189 | recall 0.9444 | f1 0.9315 +Train 60/300, loss 0.0010, time 0.7208 +Val 60/300, loss 0.6036, time 0.0693 | acc 0.9138 | pre 0.9189 | recall 0.9444 | f1 0.9315 +Train 61/300, loss 0.0054, time 0.6367 +Val 61/300, loss 0.6247, time 0.0726 | acc 0.9138 | pre 0.9189 | recall 0.9444 | f1 0.9315 +Train 62/300, loss 0.0047, time 0.7169 +Val 62/300, loss 0.5762, time 0.0721 | acc 0.8966 | pre 0.8947 | recall 0.9444 | f1 0.9189 +Train 63/300, loss 0.0043, time 0.6607 +Val 63/300, loss 0.5369, time 0.0744 | acc 0.8966 | pre 0.9412 | recall 0.8889 | f1 0.9143 +Train 64/300, loss 0.0375, time 0.6393 +Val 64/300, loss 0.3765, time 0.0729 | acc 0.9310 | pre 0.9444 | recall 0.9444 | f1 0.9444 +Train 65/300, loss 0.0085, time 0.6396 +Val 65/300, loss 0.4016, time 0.0735 | acc 0.9138 | pre 0.9189 | recall 0.9444 | f1 0.9315 +Train 66/300, loss 0.0062, time 0.7104 +Val 66/300, loss 0.4879, time 0.0716 | acc 0.9138 | pre 0.9189 | recall 0.9444 | f1 0.9315 +Train 67/300, loss 0.0030, time 0.6486 +Val 67/300, loss 0.4751, time 0.0743 | acc 0.8966 | pre 0.9167 | recall 0.9167 | f1 0.9167 +Train 68/300, loss 0.0013, time 0.7155 +Val 68/300, loss 0.4522, time 0.0705 | acc 0.9138 | pre 0.9189 | recall 0.9444 | f1 0.9315 +Train 69/300, loss 0.0008, time 0.6323 +Val 69/300, loss 0.4632, time 0.0741 | acc 0.9138 | pre 0.9189 | recall 0.9444 | f1 0.9315 +Train 70/300, loss 0.0013, time 0.7150 +Val 70/300, loss 0.4462, time 0.0716 | acc 0.9138 | pre 0.9189 | recall 0.9444 | f1 0.9315 +Train 71/300, loss 0.0008, time 0.6414 +Val 71/300, loss 0.4466, time 0.0742 | acc 0.9138 | pre 0.9189 | recall 0.9444 | f1 0.9315 +Train 72/300, loss 0.0012, time 0.6849 +Val 72/300, loss 0.4620, time 0.0704 | acc 0.9138 | pre 0.9189 | recall 0.9444 | f1 0.9315 +Train 73/300, loss 0.0003, time 0.6330 +Val 73/300, loss 0.4583, time 0.0716 | acc 0.9138 | pre 0.9189 | recall 0.9444 | f1 0.9315 +Train 74/300, loss 0.0041, time 0.6525 +Val 74/300, loss 0.4732, time 0.0699 | acc 0.9138 | pre 0.9189 | recall 0.9444 | f1 0.9315 +Train 75/300, loss 0.0005, time 0.6360 +Val 75/300, loss 0.5171, time 0.0732 | acc 0.9138 | pre 0.9189 | recall 0.9444 | f1 0.9315 +Train 76/300, loss 0.0169, time 0.6715 +Val 76/300, loss 0.3960, time 0.0707 | acc 0.9138 | pre 0.8974 | recall 0.9722 | f1 0.9333 +Train 77/300, loss 0.1713, time 0.6214 +Val 77/300, loss 0.8441, time 0.0720 | acc 0.8276 | pre 0.9062 | recall 0.8056 | f1 0.8529 +Train 78/300, loss 0.1063, time 0.6530 +Val 78/300, loss 0.8319, time 0.1385 | acc 0.7931 | pre 0.9615 | recall 0.6944 | f1 0.8065 +Train 79/300, loss 0.1287, time 0.6456 +Val 79/300, loss 0.5180, time 0.0738 | acc 0.8621 | pre 0.8333 | recall 0.9722 | f1 0.8974 +Train 80/300, loss 0.1137, time 0.6558 +Val 80/300, loss 1.2296, time 0.0723 | acc 0.7759 | pre 0.7447 | recall 0.9722 | f1 0.8434 +Train 81/300, loss 0.0956, time 0.6565 +Val 81/300, loss 0.4938, time 0.0742 | acc 0.9310 | pre 0.9000 | recall 1.0000 | f1 0.9474 +Train 82/300, loss 0.0465, time 0.6640 +Val 82/300, loss 0.3900, time 0.0742 | acc 0.9310 | pre 0.9211 | recall 0.9722 | f1 0.9459 +Train 83/300, loss 0.0118, time 0.6725 +Val 83/300, loss 0.4415, time 0.0741 | acc 0.9310 | pre 0.9211 | recall 0.9722 | f1 0.9459 +Train 84/300, loss 0.0127, time 0.6469 +Val 84/300, loss 0.4802, time 0.0738 | acc 0.9310 | pre 0.9211 | recall 0.9722 | f1 0.9459 +Train 85/300, loss 0.0172, time 0.6478 +Val 85/300, loss 0.5138, time 0.0730 | acc 0.9310 | pre 0.9211 | recall 0.9722 | f1 0.9459 +Train 86/300, loss 0.0066, time 0.6686 +Val 86/300, loss 0.5474, time 0.0739 | acc 0.9310 | pre 0.9211 | recall 0.9722 | f1 0.9459 +Train 87/300, loss 0.0044, time 0.6516 +Val 87/300, loss 0.5075, time 0.0738 | acc 0.9310 | pre 0.9211 | recall 0.9722 | f1 0.9459 +Train 88/300, loss 0.0421, time 0.6545 +Val 88/300, loss 0.5253, time 0.0739 | acc 0.9138 | pre 0.9189 | recall 0.9444 | f1 0.9315 +Train 89/300, loss 0.0070, time 0.6472 +Val 89/300, loss 0.6104, time 0.0738 | acc 0.8966 | pre 0.9167 | recall 0.9167 | f1 0.9167 +Train 90/300, loss 0.0157, time 0.6523 +Val 90/300, loss 0.4945, time 0.0740 | acc 0.9138 | pre 0.9189 | recall 0.9444 | f1 0.9315 +Train 91/300, loss 0.0386, time 0.6516 +Val 91/300, loss 0.5517, time 0.0737 | acc 0.9310 | pre 0.9211 | recall 0.9722 | f1 0.9459 +Train 92/300, loss 0.0014, time 0.6512 +Val 92/300, loss 0.5771, time 0.0709 | acc 0.9310 | pre 0.9211 | recall 0.9722 | f1 0.9459 +Train 93/300, loss 0.0016, time 0.6458 +Val 93/300, loss 0.6004, time 0.0708 | acc 0.9310 | pre 0.9211 | recall 0.9722 | f1 0.9459 +Train 94/300, loss 0.0068, time 0.6510 +Val 94/300, loss 0.6031, time 0.0739 | acc 0.9310 | pre 0.9211 | recall 0.9722 | f1 0.9459 +Train 95/300, loss 0.0119, time 0.6460 +Val 95/300, loss 0.4913, time 0.0724 | acc 0.9483 | pre 0.9231 | recall 1.0000 | f1 0.9600 +Train 96/300, loss 0.0110, time 0.6468 +Val 96/300, loss 0.3927, time 0.0726 | acc 0.9310 | pre 0.9211 | recall 0.9722 | f1 0.9459 +Train 97/300, loss 0.0157, time 0.6474 +Val 97/300, loss 0.2689, time 0.0725 | acc 0.9310 | pre 0.9444 | recall 0.9444 | f1 0.9444 +Train 98/300, loss 0.0047, time 0.6511 +Val 98/300, loss 0.2903, time 0.0722 | acc 0.9138 | pre 0.9189 | recall 0.9444 | f1 0.9315 +Train 99/300, loss 0.0160, time 0.6456 +Val 99/300, loss 0.4008, time 0.0724 | acc 0.9310 | pre 0.9211 | recall 0.9722 | f1 0.9459 +Train 100/300, loss 0.0048, time 0.6393 +Val 100/300, loss 0.4149, time 0.0725 | acc 0.9310 | pre 0.9211 | recall 0.9722 | f1 0.9459 +Train 101/300, loss 0.0047, time 0.6469 +Val 101/300, loss 0.4012, time 0.0725 | acc 0.9310 | pre 0.9211 | recall 0.9722 | f1 0.9459 +Train 102/300, loss 0.0029, time 0.6405 +Val 102/300, loss 0.4007, time 0.0726 | acc 0.9310 | pre 0.9211 | recall 0.9722 | f1 0.9459 +Train 103/300, loss 0.0037, time 0.6419 +Val 103/300, loss 0.3988, time 0.0723 | acc 0.9310 | pre 0.9211 | recall 0.9722 | f1 0.9459 +Train 104/300, loss 0.0013, time 0.6390 +Val 104/300, loss 0.3553, time 0.0723 | acc 0.9310 | pre 0.9444 | recall 0.9444 | f1 0.9444 +Train 105/300, loss 0.0160, time 0.6406 +Val 105/300, loss 0.5109, time 0.0722 | acc 0.9310 | pre 0.9211 | recall 0.9722 | f1 0.9459 +Train 106/300, loss 0.0075, time 0.6448 +Val 106/300, loss 0.7261, time 0.0721 | acc 0.9138 | pre 0.9189 | recall 0.9444 | f1 0.9315 +Train 107/300, loss 0.0225, time 0.6409 +Val 107/300, loss 0.4453, time 0.0722 | acc 0.9138 | pre 0.9189 | recall 0.9444 | f1 0.9315 +Train 108/300, loss 0.0068, time 0.6438 +Val 108/300, loss 0.3908, time 0.0723 | acc 0.9310 | pre 0.9211 | recall 0.9722 | f1 0.9459 +Train 109/300, loss 0.0128, time 0.6509 +Val 109/300, loss 0.4274, time 0.0723 | acc 0.9310 | pre 0.9211 | recall 0.9722 | f1 0.9459 +Train 110/300, loss 0.0089, time 0.6392 +Val 110/300, loss 0.6867, time 0.0723 | acc 0.9310 | pre 0.9000 | recall 1.0000 | f1 0.9474 +Train 111/300, loss 0.0032, time 0.6373 +Val 111/300, loss 0.6256, time 0.0722 | acc 0.9310 | pre 0.9000 | recall 1.0000 | f1 0.9474 +Train 112/300, loss 0.0083, time 0.6459 +Val 112/300, loss 0.5059, time 0.0728 | acc 0.9310 | pre 0.9211 | recall 0.9722 | f1 0.9459 +Train 113/300, loss 0.0096, time 0.6467 +Val 113/300, loss 0.4433, time 0.0726 | acc 0.9310 | pre 0.9211 | recall 0.9722 | f1 0.9459 +Train 114/300, loss 0.0129, time 0.6405 +Val 114/300, loss 0.4892, time 0.0724 | acc 0.9310 | pre 0.9211 | recall 0.9722 | f1 0.9459 +Train 115/300, loss 0.0044, time 0.6424 +Val 115/300, loss 0.5749, 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0.9459 +Train 123/300, loss 0.0008, time 0.6457 +Val 123/300, loss 0.6451, time 0.0727 | acc 0.9310 | pre 0.9211 | recall 0.9722 | f1 0.9459 +Train 124/300, loss 0.0005, time 0.6474 +Val 124/300, loss 0.6506, time 0.0723 | acc 0.9310 | pre 0.9211 | recall 0.9722 | f1 0.9459 +Train 125/300, loss 0.0003, time 0.6446 +Val 125/300, loss 0.6242, time 0.0725 | acc 0.9310 | pre 0.9211 | recall 0.9722 | f1 0.9459 +Train 126/300, loss 0.0006, time 0.6503 +Val 126/300, loss 0.6302, time 0.0725 | acc 0.9310 | pre 0.9211 | recall 0.9722 | f1 0.9459 +Train 127/300, loss 0.0002, time 0.6464 +Val 127/300, loss 0.6350, time 0.0728 | acc 0.9310 | pre 0.9211 | recall 0.9722 | f1 0.9459 +Train 128/300, loss 0.0005, time 0.6427 +Val 128/300, loss 0.6356, time 0.0728 | acc 0.9310 | pre 0.9211 | recall 0.9722 | f1 0.9459 +Train 129/300, loss 0.0006, time 0.6437 +Val 129/300, loss 0.6682, time 0.0727 | acc 0.9310 | pre 0.9211 | recall 0.9722 | f1 0.9459 +Train 130/300, loss 0.0003, time 0.6471 +Val 130/300, 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0.9722 | f1 0.9459 +Train 138/300, loss 0.0001, time 0.6451 +Val 138/300, loss 0.6406, time 0.0731 | acc 0.9310 | pre 0.9211 | recall 0.9722 | f1 0.9459 +Train 139/300, loss 0.0005, time 0.6457 +Val 139/300, loss 0.6321, time 0.0708 | acc 0.9310 | pre 0.9211 | recall 0.9722 | f1 0.9459 +Train 140/300, loss 0.0003, time 0.6298 +Val 140/300, loss 0.6504, time 0.0711 | acc 0.9310 | pre 0.9211 | recall 0.9722 | f1 0.9459 +Train 141/300, loss 0.0009, time 0.6088 +Val 141/300, loss 0.6543, time 0.0711 | acc 0.9310 | pre 0.9211 | recall 0.9722 | f1 0.9459 +Train 142/300, loss 0.0015, time 0.6283 +Val 142/300, loss 0.6292, time 0.0718 | acc 0.9310 | pre 0.9211 | recall 0.9722 | f1 0.9459 +Train 143/300, loss 0.0003, time 0.6237 +Val 143/300, loss 0.6409, time 0.0707 | acc 0.9310 | pre 0.9211 | recall 0.9722 | f1 0.9459 +Train 144/300, loss 0.0010, time 0.6281 +Val 144/300, loss 0.6370, time 0.0732 | acc 0.9310 | pre 0.9211 | recall 0.9722 | f1 0.9459 +Train 145/300, loss 0.0005, time 0.6935 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0.9211 | recall 0.9722 | f1 0.9459 +Train 153/300, loss 0.0003, time 0.6129 +Val 153/300, loss 0.5926, time 0.0765 | acc 0.9310 | pre 0.9211 | recall 0.9722 | f1 0.9459 +Train 154/300, loss 0.0004, time 0.6701 +Val 154/300, loss 0.5922, time 0.0697 | acc 0.9310 | pre 0.9211 | recall 0.9722 | f1 0.9459 +Train 155/300, loss 0.0009, time 0.5934 +Val 155/300, loss 0.5906, time 0.0711 | acc 0.9310 | pre 0.9211 | recall 0.9722 | f1 0.9459 +Train 156/300, loss 0.0001, time 0.6336 +Val 156/300, loss 0.6387, time 0.0710 | acc 0.9310 | pre 0.9211 | recall 0.9722 | f1 0.9459 +Train 157/300, loss 0.0062, time 0.5472 +Val 157/300, loss 0.5921, time 0.0711 | acc 0.9138 | pre 0.9189 | recall 0.9444 | f1 0.9315 +Train 158/300, loss 0.0005, time 0.5754 +Val 158/300, loss 0.5345, time 0.0701 | acc 0.9138 | pre 0.9189 | recall 0.9444 | f1 0.9315 +Train 159/300, loss 0.0038, time 0.5591 +Val 159/300, loss 0.6743, time 0.0708 | acc 0.9310 | pre 0.9211 | recall 0.9722 | f1 0.9459 +Train 160/300, loss 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175/300, loss 0.0129, time 0.6316 +Val 175/300, loss 0.5225, time 0.0730 | acc 0.9310 | pre 0.9211 | recall 0.9722 | f1 0.9459 +Train 176/300, loss 0.0049, time 0.6171 +Val 176/300, loss 0.6096, time 0.0726 | acc 0.9138 | pre 0.9189 | recall 0.9444 | f1 0.9315 +Train 177/300, loss 0.0342, time 0.6411 +Val 177/300, loss 0.7166, time 0.0730 | acc 0.9138 | pre 0.9189 | recall 0.9444 | f1 0.9315 +Train 178/300, loss 0.0240, time 0.6439 +Val 178/300, loss 0.6591, time 0.0731 | acc 0.8966 | pre 0.9167 | recall 0.9167 | f1 0.9167 +Train 179/300, loss 0.0158, time 0.6465 +Val 179/300, loss 0.6550, time 0.0731 | acc 0.8966 | pre 0.9167 | recall 0.9167 | f1 0.9167 +Train 180/300, loss 0.0031, time 0.6501 +Val 180/300, loss 0.6040, time 0.0735 | acc 0.9138 | pre 0.9189 | recall 0.9444 | f1 0.9315 +Train 181/300, loss 0.0078, time 0.6725 +Val 181/300, loss 0.4819, time 0.0732 | acc 0.9310 | pre 0.9211 | recall 0.9722 | f1 0.9459 +Train 182/300, loss 0.0133, time 0.6462 +Val 182/300, loss 0.4932, 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0.9014 +Train 190/300, loss 0.0213, time 0.6568 +Val 190/300, loss 0.4359, time 0.0735 | acc 0.8793 | pre 0.9143 | recall 0.8889 | f1 0.9014 +Train 191/300, loss 0.0030, time 0.6422 +Val 191/300, loss 0.3128, time 0.0735 | acc 0.8966 | pre 0.9167 | recall 0.9167 | f1 0.9167 +Train 192/300, loss 0.0077, time 0.6504 +Val 192/300, loss 0.3205, time 0.0830 | acc 0.9310 | pre 0.9211 | recall 0.9722 | f1 0.9459 +Train 193/300, loss 0.0025, time 0.6698 +Val 193/300, loss 0.3599, time 0.0781 | acc 0.9310 | pre 0.9211 | recall 0.9722 | f1 0.9459 +Train 194/300, loss 0.0013, time 0.6801 +Val 194/300, loss 0.3840, time 0.0727 | acc 0.9310 | pre 0.9211 | recall 0.9722 | f1 0.9459 +Train 195/300, loss 0.0007, time 0.6511 +Val 195/300, loss 0.3874, time 0.0731 | acc 0.9483 | pre 0.9459 | recall 0.9722 | f1 0.9589 +Train 196/300, loss 0.0007, time 0.6507 +Val 196/300, loss 0.3889, time 0.0732 | acc 0.9483 | pre 0.9459 | recall 0.9722 | f1 0.9589 +Train 197/300, loss 0.0013, time 0.6470 +Val 197/300, 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0.9722 | f1 0.9589 +Train 205/300, loss 0.0020, time 0.6398 +Val 205/300, loss 0.3198, time 0.0702 | acc 0.9483 | pre 0.9459 | recall 0.9722 | f1 0.9589 +Train 206/300, loss 0.0008, time 0.6376 +Val 206/300, loss 0.3265, time 0.0701 | acc 0.9483 | pre 0.9459 | recall 0.9722 | f1 0.9589 +Train 207/300, loss 0.0001, time 0.6408 +Val 207/300, loss 0.3259, time 0.0719 | acc 0.9483 | pre 0.9459 | recall 0.9722 | f1 0.9589 +Train 208/300, loss 0.0014, time 0.6395 +Val 208/300, loss 0.3329, time 0.0706 | acc 0.9483 | pre 0.9459 | recall 0.9722 | f1 0.9589 +Train 209/300, loss 0.0014, time 0.6440 +Val 209/300, loss 0.3275, time 0.0704 | acc 0.9483 | pre 0.9459 | recall 0.9722 | f1 0.9589 +Train 210/300, loss 0.0002, time 0.6397 +Val 210/300, loss 0.3157, time 0.0720 | acc 0.9483 | pre 0.9459 | recall 0.9722 | f1 0.9589 +Train 211/300, loss 0.0002, time 0.6355 +Val 211/300, loss 0.3119, time 0.0701 | acc 0.9483 | pre 0.9459 | recall 0.9722 | f1 0.9589 +Train 212/300, loss 0.0001, time 0.6408 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0.9211 | recall 0.9722 | f1 0.9459 +Train 220/300, loss 0.0004, time 0.6621 +Val 220/300, loss 0.3541, time 0.0739 | acc 0.9310 | pre 0.9211 | recall 0.9722 | f1 0.9459 +Train 221/300, loss 0.0001, time 0.6421 +Val 221/300, loss 0.3317, time 0.0725 | acc 0.9310 | pre 0.9211 | recall 0.9722 | f1 0.9459 +Train 222/300, loss 0.0003, time 0.6644 +Val 222/300, loss 0.3337, time 0.0737 | acc 0.9310 | pre 0.9211 | recall 0.9722 | f1 0.9459 +Train 223/300, loss 0.0001, time 0.6354 +Val 223/300, loss 0.3108, time 0.0707 | acc 0.9310 | pre 0.9211 | recall 0.9722 | f1 0.9459 +Train 224/300, loss 0.0001, time 0.6256 +Val 224/300, loss 0.3186, time 0.0718 | acc 0.9310 | pre 0.9211 | recall 0.9722 | f1 0.9459 +Train 225/300, loss 0.0002, time 0.6257 +Val 225/300, loss 0.3182, time 0.0703 | acc 0.9310 | pre 0.9211 | recall 0.9722 | f1 0.9459 +Train 226/300, loss 0.0005, time 0.6159 +Val 226/300, loss 0.3237, time 0.0714 | acc 0.9310 | pre 0.9211 | recall 0.9722 | f1 0.9459 +Train 227/300, loss 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acc 0.9310 | pre 0.9211 | recall 0.9722 | f1 0.9459 +Train 235/300, loss 0.0002, time 0.6502 +Val 235/300, loss 0.3266, time 0.1377 | acc 0.9310 | pre 0.9211 | recall 0.9722 | f1 0.9459 +Train 236/300, loss 0.0002, time 0.6143 +Val 236/300, loss 0.3414, time 0.0726 | acc 0.9310 | pre 0.9211 | recall 0.9722 | f1 0.9459 +Train 237/300, loss 0.0001, time 0.6501 +Val 237/300, loss 0.3326, time 0.1750 | acc 0.9310 | pre 0.9211 | recall 0.9722 | f1 0.9459 +Train 238/300, loss 0.0008, time 0.6185 +Val 238/300, loss 0.3428, time 0.0727 | acc 0.9310 | pre 0.9211 | recall 0.9722 | f1 0.9459 +Train 239/300, loss 0.0001, time 0.6573 +Val 239/300, loss 0.4314, time 0.1650 | acc 0.9310 | pre 0.9211 | recall 0.9722 | f1 0.9459 +Train 240/300, loss 0.0002, time 0.6337 +Val 240/300, loss 0.4701, time 0.0727 | acc 0.9310 | pre 0.9211 | recall 0.9722 | f1 0.9459 +Train 241/300, loss 0.0003, time 0.6365 +Val 241/300, loss 0.4682, time 0.0959 | acc 0.9310 | pre 0.9211 | recall 0.9722 | f1 0.9459 +Train 242/300, loss 0.0001, time 0.6257 +Val 242/300, loss 0.4425, time 0.0724 | acc 0.9310 | pre 0.9211 | recall 0.9722 | f1 0.9459 +Train 243/300, loss 0.0004, time 0.6534 +Val 243/300, loss 0.4391, time 0.0806 | acc 0.9310 | pre 0.9211 | recall 0.9722 | f1 0.9459 +Train 244/300, loss 0.0000, time 0.6195 +Val 244/300, loss 0.3823, time 0.0736 | acc 0.9310 | pre 0.9211 | recall 0.9722 | f1 0.9459 +Train 245/300, loss 0.0002, time 0.6372 +Val 245/300, loss 0.3624, time 0.0731 | acc 0.9310 | pre 0.9211 | recall 0.9722 | f1 0.9459 +Train 246/300, loss 0.0003, time 0.6898 +Val 246/300, loss 0.3910, time 0.0771 | acc 0.9310 | pre 0.9211 | recall 0.9722 | f1 0.9459 +Train 247/300, loss 0.0001, time 0.6178 +Val 247/300, loss 0.3815, time 0.0773 | acc 0.9310 | pre 0.9211 | recall 0.9722 | f1 0.9459 +Train 248/300, loss 0.0001, time 0.6671 +Val 248/300, loss 0.3613, time 0.0721 | acc 0.9310 | pre 0.9211 | recall 0.9722 | f1 0.9459 +Train 249/300, loss 0.0012, time 0.6444 +Val 249/300, loss 0.3538, time 0.0755 | acc 0.9310 | pre 0.9211 | recall 0.9722 | f1 0.9459 +Train 250/300, loss 0.0001, time 0.6456 +Val 250/300, loss 0.3848, time 0.0740 | acc 0.9138 | pre 0.9429 | recall 0.9167 | f1 0.9296 +Train 251/300, loss 0.0088, time 0.6518 +Val 251/300, loss 0.3768, time 0.0732 | acc 0.9310 | pre 0.9444 | recall 0.9444 | f1 0.9444 +Train 252/300, loss 0.0209, time 0.6505 +Val 252/300, loss 0.3175, time 0.0720 | acc 0.9310 | pre 0.9444 | recall 0.9444 | f1 0.9444 +Train 253/300, loss 0.0111, time 0.6481 +Val 253/300, loss 0.4607, time 0.0731 | acc 0.9483 | pre 0.9231 | recall 1.0000 | f1 0.9600 +Train 254/300, loss 0.0222, time 0.6528 +Val 254/300, loss 3.4616, time 0.0734 | acc 0.6552 | pre 0.6429 | recall 1.0000 | f1 0.7826 +Train 255/300, loss 0.1122, time 0.6501 +Val 255/300, loss 1.1863, time 0.0729 | acc 0.7759 | pre 1.0000 | recall 0.6389 | f1 0.7797 +Train 256/300, loss 0.1091, time 0.6537 +Val 256/300, loss 1.6835, time 0.0732 | acc 0.7414 | pre 1.0000 | recall 0.5833 | f1 0.7368 +Train 257/300, loss 0.0590, time 0.6523 +Val 257/300, loss 0.6050, time 0.0733 | acc 0.8966 | pre 0.9688 | recall 0.8611 | f1 0.9118 +Train 258/300, loss 0.0562, time 0.6497 +Val 258/300, loss 0.2624, time 0.0731 | acc 0.9138 | pre 0.9189 | recall 0.9444 | f1 0.9315 +Train 259/300, loss 0.0321, time 0.6514 +Val 259/300, loss 0.4223, time 0.0733 | acc 0.8793 | pre 0.9143 | recall 0.8889 | f1 0.9014 +Train 260/300, loss 0.0133, time 0.6449 +Val 260/300, loss 0.4249, time 0.0730 | acc 0.8793 | pre 0.9143 | recall 0.8889 | f1 0.9014 +Train 261/300, loss 0.0046, time 0.6516 +Val 261/300, loss 0.2946, time 0.0733 | acc 0.9138 | pre 0.9429 | recall 0.9167 | f1 0.9296 +Train 262/300, loss 0.0036, time 0.6544 +Val 262/300, loss 0.3461, time 0.0730 | acc 0.9138 | pre 0.9189 | recall 0.9444 | f1 0.9315 +Train 263/300, loss 0.0023, time 0.6500 +Val 263/300, loss 0.3760, time 0.0733 | acc 0.9138 | pre 0.9189 | recall 0.9444 | f1 0.9315 +Train 264/300, loss 0.0098, time 0.6422 +Val 264/300, loss 0.4971, time 0.0732 | acc 0.9310 | pre 0.9211 | recall 0.9722 | f1 0.9459 +Train 265/300, loss 0.0021, time 0.6465 +Val 265/300, loss 0.5101, time 0.0730 | acc 0.9310 | pre 0.9211 | recall 0.9722 | f1 0.9459 +Train 266/300, loss 0.0019, time 0.6547 +Val 266/300, loss 0.4497, time 0.0735 | acc 0.9138 | pre 0.9189 | recall 0.9444 | f1 0.9315 +Train 267/300, loss 0.0013, time 0.6403 +Val 267/300, loss 0.4565, time 0.0731 | acc 0.9138 | pre 0.9189 | recall 0.9444 | f1 0.9315 +Train 268/300, loss 0.0017, time 0.6544 +Val 268/300, loss 0.4845, time 0.0731 | acc 0.9138 | pre 0.9189 | recall 0.9444 | f1 0.9315 +Train 269/300, loss 0.0011, time 0.6350 +Val 269/300, loss 0.5092, time 0.0729 | acc 0.9310 | pre 0.9211 | recall 0.9722 | f1 0.9459 +Train 270/300, loss 0.0016, time 0.6435 +Val 270/300, loss 0.5208, time 0.0730 | acc 0.9138 | pre 0.9189 | recall 0.9444 | f1 0.9315 +Train 271/300, loss 0.0008, time 0.5609 +Val 271/300, loss 0.5124, time 0.0712 | acc 0.9138 | pre 0.9189 | recall 0.9444 | f1 0.9315 +Train 272/300, loss 0.0004, time 0.6103 +Val 272/300, loss 0.5104, time 0.0721 | acc 0.9138 | pre 0.9189 | recall 0.9444 | f1 0.9315 +Train 273/300, loss 0.0018, time 0.6445 +Val 273/300, loss 0.4729, time 0.0729 | acc 0.9138 | pre 0.9189 | recall 0.9444 | f1 0.9315 +Train 274/300, loss 0.0005, time 0.6217 +Val 274/300, loss 0.4471, time 0.0727 | acc 0.9138 | pre 0.9189 | recall 0.9444 | f1 0.9315 +Train 275/300, loss 0.0060, time 0.6386 +Val 275/300, loss 0.4590, time 0.0732 | acc 0.9138 | pre 0.9189 | recall 0.9444 | f1 0.9315 +Train 276/300, loss 0.0008, time 0.6366 +Val 276/300, loss 0.4434, time 0.0714 | acc 0.9138 | pre 0.9189 | recall 0.9444 | f1 0.9315 +Train 277/300, loss 0.0008, time 0.6342 +Val 277/300, loss 0.4254, time 0.0724 | acc 0.9138 | pre 0.9189 | recall 0.9444 | f1 0.9315 +Train 278/300, loss 0.0005, time 0.6014 +Val 278/300, loss 0.4365, time 0.0700 | acc 0.9138 | pre 0.9189 | recall 0.9444 | f1 0.9315 +Train 279/300, loss 0.0003, time 0.6113 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0.9189 | recall 0.9444 | f1 0.9315 +Train 287/300, loss 0.0004, time 0.6411 +Val 287/300, loss 0.3914, time 0.0714 | acc 0.9138 | pre 0.9189 | recall 0.9444 | f1 0.9315 +Train 288/300, loss 0.0057, time 0.6260 +Val 288/300, loss 0.3561, time 0.0720 | acc 0.9310 | pre 0.9444 | recall 0.9444 | f1 0.9444 +Train 289/300, loss 0.0007, time 0.6202 +Val 289/300, loss 0.3774, time 0.0697 | acc 0.9138 | pre 0.9429 | recall 0.9167 | f1 0.9296 +Train 290/300, loss 0.0001, time 0.6291 +Val 290/300, loss 0.3926, time 0.0717 | acc 0.9310 | pre 0.9444 | recall 0.9444 | f1 0.9444 +Train 291/300, loss 0.0010, time 0.6246 +Val 291/300, loss 0.4126, time 0.0712 | acc 0.9310 | pre 0.9444 | recall 0.9444 | f1 0.9444 +Train 292/300, loss 0.0001, time 0.6222 +Val 292/300, loss 0.4251, time 0.0705 | acc 0.9310 | pre 0.9211 | recall 0.9722 | f1 0.9459 +Train 293/300, loss 0.0001, time 0.6310 +Val 293/300, loss 0.4435, time 0.0712 | acc 0.9310 | pre 0.9211 | recall 0.9722 | f1 0.9459 +Train 294/300, loss 0.0001, time 0.6221 +Val 294/300, loss 0.4382, time 0.0714 | acc 0.9310 | pre 0.9211 | recall 0.9722 | f1 0.9459 +Train 295/300, loss 0.0001, time 0.6255 +Val 295/300, loss 0.4677, time 0.0717 | acc 0.9310 | pre 0.9211 | recall 0.9722 | f1 0.9459 +Train 296/300, loss 0.0001, time 0.6442 +Val 296/300, loss 0.4561, time 0.0731 | acc 0.9310 | pre 0.9211 | recall 0.9722 | f1 0.9459 +Train 297/300, loss 0.0001, time 0.6410 +Val 297/300, loss 0.4670, time 0.0728 | acc 0.9310 | pre 0.9211 | recall 0.9722 | f1 0.9459 +Train 298/300, loss 0.0001, time 0.6398 +Val 298/300, loss 0.4604, time 0.0728 | acc 0.9310 | pre 0.9211 | recall 0.9722 | f1 0.9459 +Train 299/300, loss 0.0002, time 0.6332 +Val 299/300, loss 0.4459, time 0.0727 | acc 0.9310 | pre 0.9211 | recall 0.9722 | f1 0.9459 +Train 300/300, loss 0.0002, time 0.6430 +Val 300/300, loss 0.4495, time 0.0738 | acc 0.9310 | pre 0.9211 | recall 0.9722 | f1 0.9459 +best epoch: 94 acc: 0.9483 | Precision: 0.9231 | recall 1.0000 | f1 0.9600 +Total time: 215.4082 +=================Final Scores: ================= +Final mean score: acc: 0.9015195791934542 | Precision: 0.9099893162393162 | recall 0.9333333333333332 | f1 0.9201307189542485