lr: 1e-05
sub_3:Test (Best Model) - Loss: 0.7943 - Accuracy: 0.5000 - F1: 0.3333
sub_1:Test (Best Model) - Loss: 0.6613 - Accuracy: 0.7024 - F1: 0.6989
sub_2:Test (Best Model) - Loss: 0.6591 - Accuracy: 0.6190 - F1: 0.5634
sub_1:Test (Best Model) - Loss: 0.6630 - Accuracy: 0.7738 - F1: 0.7730
sub_3:Test (Best Model) - Loss: 0.9382 - Accuracy: 0.5000 - F1: 0.3333
sub_2:Test (Best Model) - Loss: 0.6676 - Accuracy: 0.5595 - F1: 0.4535
sub_2:Test (Best Model) - Loss: 0.6917 - Accuracy: 0.5714 - F1: 0.4875
sub_3:Test (Best Model) - Loss: 0.8624 - Accuracy: 0.5000 - F1: 0.3333
sub_1:Test (Best Model) - Loss: 0.7126 - Accuracy: 0.5000 - F1: 0.3333
sub_3:Test (Best Model) - Loss: 0.8852 - Accuracy: 0.5000 - F1: 0.3333
sub_2:Test (Best Model) - Loss: 0.8595 - Accuracy: 0.5119 - F1: 0.3593
sub_1:Test (Best Model) - Loss: 0.6597 - Accuracy: 0.5714 - F1: 0.4750
sub_3:Test (Best Model) - Loss: 0.8304 - Accuracy: 0.5000 - F1: 0.3333
sub_2:Test (Best Model) - Loss: 0.6543 - Accuracy: 0.5833 - F1: 0.4958
sub_1:Test (Best Model) - Loss: 0.6694 - Accuracy: 0.5357 - F1: 0.4081
sub_3:Test (Best Model) - Loss: 0.6741 - Accuracy: 0.5238 - F1: 0.3842
sub_2:Test (Best Model) - Loss: 0.6795 - Accuracy: 0.5238 - F1: 0.3842
sub_1:Test (Best Model) - Loss: 0.6495 - Accuracy: 0.7976 - F1: 0.7969
sub_3:Test (Best Model) - Loss: 0.6854 - Accuracy: 0.5833 - F1: 0.5428
sub_1:Test (Best Model) - Loss: 0.7177 - Accuracy: 0.5952 - F1: 0.5265
sub_2:Test (Best Model) - Loss: 0.7303 - Accuracy: 0.5000 - F1: 0.3333
sub_3:Test (Best Model) - Loss: 0.6888 - Accuracy: 0.5357 - F1: 0.4510
sub_2:Test (Best Model) - Loss: 0.7186 - Accuracy: 0.4881 - F1: 0.3474
sub_1:Test (Best Model) - Loss: 0.6508 - Accuracy: 0.7738 - F1: 0.7712
sub_3:Test (Best Model) - Loss: 0.6811 - Accuracy: 0.5000 - F1: 0.3333
sub_2:Test (Best Model) - Loss: 0.6989 - Accuracy: 0.5238 - F1: 0.3842
sub_3:Test (Best Model) - Loss: 0.6781 - Accuracy: 0.5119 - F1: 0.3593
sub_2:Test (Best Model) - Loss: 0.6797 - Accuracy: 0.8214 - F1: 0.8155
sub_3:Test (Best Model) - Loss: 0.6429 - Accuracy: 0.5357 - F1: 0.5303
sub_1:Test (Best Model) - Loss: 0.6258 - Accuracy: 0.8095 - F1: 0.8095
sub_1:Test (Best Model) - Loss: 0.6351 - Accuracy: 0.7857 - F1: 0.7856
sub_2:Test (Best Model) - Loss: 0.6215 - Accuracy: 0.5119 - F1: 0.3944
sub_3:Test (Best Model) - Loss: 0.6405 - Accuracy: 0.5714 - F1: 0.5399
sub_2:Test (Best Model) - Loss: 1.0254 - Accuracy: 0.5833 - F1: 0.5828
sub_1:Test (Best Model) - Loss: 0.7791 - Accuracy: 0.7262 - F1: 0.7243
sub_3:Test (Best Model) - Loss: 0.6414 - Accuracy: 0.6786 - F1: 0.6707
sub_1:Test (Best Model) - Loss: 0.6479 - Accuracy: 0.5238 - F1: 0.4305
sub_3:Test (Best Model) - Loss: 0.7015 - Accuracy: 0.5595 - F1: 0.5450
sub_2:Test (Best Model) - Loss: 0.7463 - Accuracy: 0.5595 - F1: 0.5590
sub_1:Test (Best Model) - Loss: 0.6209 - Accuracy: 0.7024 - F1: 0.6863
sub_3:Test (Best Model) - Loss: 0.6145 - Accuracy: 0.6190 - F1: 0.5787
sub_2:Test (Best Model) - Loss: 0.8599 - Accuracy: 0.4524 - F1: 0.4318
sub_1:Test (Best Model) - Loss: 0.7856 - Accuracy: 0.7381 - F1: 0.7375
sub_2:Test (Best Model) - Loss: 0.6554 - Accuracy: 0.6905 - F1: 0.6788
sub_1:Test (Best Model) - Loss: 0.5573 - Accuracy: 0.7143 - F1: 0.7005
sub_5:Test (Best Model) - Loss: 0.6357 - Accuracy: 0.5000 - F1: 0.3333
sub_6:Test (Best Model) - Loss: 0.6498 - Accuracy: 0.5238 - F1: 0.3842
sub_4:Test (Best Model) - Loss: 0.7393 - Accuracy: 0.6310 - F1: 0.5951
sub_6:Test (Best Model) - Loss: 0.6498 - Accuracy: 0.5000 - F1: 0.3333
sub_5:Test (Best Model) - Loss: 0.6759 - Accuracy: 0.5238 - F1: 0.4815
sub_6:Test (Best Model) - Loss: 0.6560 - Accuracy: 0.6190 - F1: 0.5544
sub_5:Test (Best Model) - Loss: 0.6360 - Accuracy: 0.5000 - F1: 0.3333
sub_4:Test (Best Model) - Loss: 0.9532 - Accuracy: 0.6310 - F1: 0.6245
sub_5:Test (Best Model) - Loss: 0.6362 - Accuracy: 0.5119 - F1: 0.3778
sub_6:Test (Best Model) - Loss: 0.6513 - Accuracy: 0.6905 - F1: 0.6816
sub_4:Test (Best Model) - Loss: 0.8361 - Accuracy: 0.5595 - F1: 0.5450
sub_5:Test (Best Model) - Loss: 0.6351 - Accuracy: 0.5357 - F1: 0.4239
sub_5:Test (Best Model) - Loss: 0.6804 - Accuracy: 0.5000 - F1: 0.3333
sub_6:Test (Best Model) - Loss: 0.6462 - Accuracy: 0.5238 - F1: 0.3842
sub_4:Test (Best Model) - Loss: 1.2935 - Accuracy: 0.5952 - F1: 0.5894
sub_5:Test (Best Model) - Loss: 0.6725 - Accuracy: 0.5000 - F1: 0.3333
sub_6:Test (Best Model) - Loss: 0.6294 - Accuracy: 0.5357 - F1: 0.4239
sub_4:Test (Best Model) - Loss: 0.8154 - Accuracy: 0.5952 - F1: 0.5915
sub_5:Test (Best Model) - Loss: 0.6715 - Accuracy: 0.5000 - F1: 0.3333
sub_6:Test (Best Model) - Loss: 0.7141 - Accuracy: 0.5595 - F1: 0.4901
sub_5:Test (Best Model) - Loss: 0.6920 - Accuracy: 0.5000 - F1: 0.3333
sub_4:Test (Best Model) - Loss: 0.6741 - Accuracy: 0.6190 - F1: 0.5787
sub_5:Test (Best Model) - Loss: 0.6607 - Accuracy: 0.5000 - F1: 0.3333
sub_4:Test (Best Model) - Loss: 0.6957 - Accuracy: 0.5238 - F1: 0.3842
sub_5:Test (Best Model) - Loss: 0.7350 - Accuracy: 0.5000 - F1: 0.3333
sub_6:Test (Best Model) - Loss: 0.7226 - Accuracy: 0.6429 - F1: 0.6354
sub_5:Test (Best Model) - Loss: 0.6833 - Accuracy: 0.5000 - F1: 0.3333
sub_4:Test (Best Model) - Loss: 0.6923 - Accuracy: 0.5119 - F1: 0.3593
sub_5:Test (Best Model) - Loss: 0.7015 - Accuracy: 0.5000 - F1: 0.3333
sub_6:Test (Best Model) - Loss: 0.6626 - Accuracy: 0.6310 - F1: 0.6296
sub_5:Test (Best Model) - Loss: 0.7322 - Accuracy: 0.5000 - F1: 0.3333
sub_6:Test (Best Model) - Loss: 0.6208 - Accuracy: 0.6190 - F1: 0.5634
sub_4:Test (Best Model) - Loss: 0.6680 - Accuracy: 0.7024 - F1: 0.6951
sub_5:Test (Best Model) - Loss: 0.7157 - Accuracy: 0.5000 - F1: 0.3333
sub_6:Test (Best Model) - Loss: 0.8495 - Accuracy: 0.5238 - F1: 0.4305
sub_4:Test (Best Model) - Loss: 0.6978 - Accuracy: 0.5595 - F1: 0.4791
sub_6:Test (Best Model) - Loss: 0.9639 - Accuracy: 0.4405 - F1: 0.3861
sub_4:Test (Best Model) - Loss: 0.6339 - Accuracy: 0.7143 - F1: 0.7083
sub_6:Test (Best Model) - Loss: 0.9107 - Accuracy: 0.4762 - F1: 0.4759
sub_4:Test (Best Model) - Loss: 0.6295 - Accuracy: 0.7024 - F1: 0.7020
sub_6:Test (Best Model) - Loss: 0.9310 - Accuracy: 0.4048 - F1: 0.3993
sub_6:Test (Best Model) - Loss: 1.3468 - Accuracy: 0.4524 - F1: 0.4521
sub_4:Test (Best Model) - Loss: 0.6758 - Accuracy: 0.6548 - F1: 0.6150
sub_4:Test (Best Model) - Loss: 0.6704 - Accuracy: 0.7143 - F1: 0.7035
sub_4:Test (Best Model) - Loss: 0.6424 - Accuracy: 0.7381 - F1: 0.7381
sub_8:Test (Best Model) - Loss: 0.6131 - Accuracy: 0.8452 - F1: 0.8450
sub_7:Test (Best Model) - Loss: 0.6454 - Accuracy: 0.7262 - F1: 0.7243
sub_9:Test (Best Model) - Loss: 0.6488 - Accuracy: 0.5119 - F1: 0.3944
sub_8:Test (Best Model) - Loss: 0.6338 - Accuracy: 0.6786 - F1: 0.6415
sub_9:Test (Best Model) - Loss: 0.7722 - Accuracy: 0.5000 - F1: 0.3333
sub_7:Test (Best Model) - Loss: 0.6550 - Accuracy: 0.5238 - F1: 0.4542
sub_7:Test (Best Model) - Loss: 0.6612 - Accuracy: 0.5119 - F1: 0.3778
sub_8:Test (Best Model) - Loss: 0.6419 - Accuracy: 0.8452 - F1: 0.8452
sub_9:Test (Best Model) - Loss: 0.6574 - Accuracy: 0.5000 - F1: 0.3333
sub_7:Test (Best Model) - Loss: 0.6613 - Accuracy: 0.5000 - F1: 0.3333
sub_9:Test (Best Model) - Loss: 0.7063 - Accuracy: 0.5000 - F1: 0.3333
sub_8:Test (Best Model) - Loss: 0.6304 - Accuracy: 0.7024 - F1: 0.6951
sub_7:Test (Best Model) - Loss: 0.6948 - Accuracy: 0.5357 - F1: 0.5243
sub_9:Test (Best Model) - Loss: 0.6469 - Accuracy: 0.5119 - F1: 0.3593
sub_7:Test (Best Model) - Loss: 0.7255 - Accuracy: 0.6190 - F1: 0.6047
sub_8:Test (Best Model) - Loss: 0.6335 - Accuracy: 0.7857 - F1: 0.7826
sub_9:Test (Best Model) - Loss: 0.5805 - Accuracy: 0.7976 - F1: 0.7974
sub_7:Test (Best Model) - Loss: 0.7073 - Accuracy: 0.5476 - F1: 0.4312
sub_8:Test (Best Model) - Loss: 0.5894 - Accuracy: 0.8095 - F1: 0.8041
sub_7:Test (Best Model) - Loss: 0.6906 - Accuracy: 0.5000 - F1: 0.3333
sub_9:Test (Best Model) - Loss: 0.6374 - Accuracy: 0.6310 - F1: 0.6010
sub_8:Test (Best Model) - Loss: 0.6104 - Accuracy: 0.6548 - F1: 0.6080
sub_7:Test (Best Model) - Loss: 0.6828 - Accuracy: 0.5833 - F1: 0.4958
sub_9:Test (Best Model) - Loss: 0.6432 - Accuracy: 0.5000 - F1: 0.3333
sub_7:Test (Best Model) - Loss: 0.6960 - Accuracy: 0.5119 - F1: 0.3593
sub_8:Test (Best Model) - Loss: 0.6031 - Accuracy: 0.8333 - F1: 0.8299
sub_7:Test (Best Model) - Loss: 0.6773 - Accuracy: 0.5119 - F1: 0.3593
sub_9:Test (Best Model) - Loss: 0.6213 - Accuracy: 0.5119 - F1: 0.4349
sub_8:Test (Best Model) - Loss: 0.6204 - Accuracy: 0.7024 - F1: 0.6783
sub_9:Test (Best Model) - Loss: 0.6034 - Accuracy: 0.7738 - F1: 0.7730
sub_7:Test (Best Model) - Loss: 0.6651 - Accuracy: 0.5119 - F1: 0.3778
sub_8:Test (Best Model) - Loss: 0.5970 - Accuracy: 0.8571 - F1: 0.8551
sub_9:Test (Best Model) - Loss: 1.5793 - Accuracy: 0.2024 - F1: 0.1885
sub_7:Test (Best Model) - Loss: 0.6714 - Accuracy: 0.5119 - F1: 0.3593
sub_7:Test (Best Model) - Loss: 0.6940 - Accuracy: 0.4762 - F1: 0.4759
sub_8:Test (Best Model) - Loss: 0.6667 - Accuracy: 0.7024 - F1: 0.7020
sub_9:Test (Best Model) - Loss: 2.7451 - Accuracy: 0.1667 - F1: 0.1493
sub_7:Test (Best Model) - Loss: 0.6704 - Accuracy: 0.5000 - F1: 0.3333
sub_9:Test (Best Model) - Loss: 1.4141 - Accuracy: 0.3452 - F1: 0.2566
sub_8:Test (Best Model) - Loss: 0.6075 - Accuracy: 0.7381 - F1: 0.7343
sub_9:Test (Best Model) - Loss: 1.3826 - Accuracy: 0.2262 - F1: 0.1931
sub_8:Test (Best Model) - Loss: 0.6370 - Accuracy: 0.7143 - F1: 0.7128
sub_9:Test (Best Model) - Loss: 2.1521 - Accuracy: 0.2024 - F1: 0.1683
sub_8:Test (Best Model) - Loss: 0.7439 - Accuracy: 0.4881 - F1: 0.3474
sub_8:Test (Best Model) - Loss: 0.5231 - Accuracy: 0.7500 - F1: 0.7483
sub_10:Test (Best Model) - Loss: 0.6960 - Accuracy: 0.6786 - F1: 0.6774
sub_12:Test (Best Model) - Loss: 0.6560 - Accuracy: 0.6905 - F1: 0.6788
sub_11:Test (Best Model) - Loss: 0.6808 - Accuracy: 0.6548 - F1: 0.6268
sub_10:Test (Best Model) - Loss: 0.7832 - Accuracy: 0.7024 - F1: 0.6783
sub_12:Test (Best Model) - Loss: 0.6696 - Accuracy: 0.7262 - F1: 0.7252
sub_11:Test (Best Model) - Loss: 0.6851 - Accuracy: 0.5595 - F1: 0.5302
sub_12:Test (Best Model) - Loss: 0.6787 - Accuracy: 0.5000 - F1: 0.3875
sub_10:Test (Best Model) - Loss: 0.6738 - Accuracy: 0.7619 - F1: 0.7597
sub_12:Test (Best Model) - Loss: 0.6713 - Accuracy: 0.5714 - F1: 0.5260
sub_11:Test (Best Model) - Loss: 0.6884 - Accuracy: 0.5595 - F1: 0.4901
sub_10:Test (Best Model) - Loss: 0.7290 - Accuracy: 0.6905 - F1: 0.6889
sub_12:Test (Best Model) - Loss: 0.6689 - Accuracy: 0.6071 - F1: 0.5860
sub_11:Test (Best Model) - Loss: 0.6903 - Accuracy: 0.5476 - F1: 0.4312
sub_10:Test (Best Model) - Loss: 0.7968 - Accuracy: 0.6905 - F1: 0.6889
sub_12:Test (Best Model) - Loss: 0.7265 - Accuracy: 0.5476 - F1: 0.5258
sub_11:Test (Best Model) - Loss: 0.6808 - Accuracy: 0.5833 - F1: 0.5496
sub_11:Test (Best Model) - Loss: 0.7137 - Accuracy: 0.5000 - F1: 0.3333
sub_12:Test (Best Model) - Loss: 0.6453 - Accuracy: 0.5595 - F1: 0.4999
sub_10:Test (Best Model) - Loss: 0.5913 - Accuracy: 0.7619 - F1: 0.7614
sub_12:Test (Best Model) - Loss: 0.6701 - Accuracy: 0.5714 - F1: 0.5399
sub_11:Test (Best Model) - Loss: 0.7005 - Accuracy: 0.5119 - F1: 0.3593
sub_10:Test (Best Model) - Loss: 0.5462 - Accuracy: 0.8214 - F1: 0.8212
sub_12:Test (Best Model) - Loss: 0.6808 - Accuracy: 0.6905 - F1: 0.6876
sub_11:Test (Best Model) - Loss: 0.7425 - Accuracy: 0.5000 - F1: 0.3333
sub_10:Test (Best Model) - Loss: 0.6390 - Accuracy: 0.7738 - F1: 0.7730
sub_11:Test (Best Model) - Loss: 0.7147 - Accuracy: 0.5000 - F1: 0.3333
sub_12:Test (Best Model) - Loss: 0.7018 - Accuracy: 0.5119 - F1: 0.5034
sub_11:Test (Best Model) - Loss: 0.7108 - Accuracy: 0.4881 - F1: 0.3280
sub_10:Test (Best Model) - Loss: 0.6410 - Accuracy: 0.7738 - F1: 0.7730
sub_12:Test (Best Model) - Loss: 0.5473 - Accuracy: 0.7500 - F1: 0.7483
sub_11:Test (Best Model) - Loss: 0.6667 - Accuracy: 0.6310 - F1: 0.6267
sub_10:Test (Best Model) - Loss: 0.5758 - Accuracy: 0.8214 - F1: 0.8212
sub_12:Test (Best Model) - Loss: 0.8309 - Accuracy: 0.5119 - F1: 0.3944
sub_12:Test (Best Model) - Loss: 0.6894 - Accuracy: 0.6190 - F1: 0.5714
sub_10:Test (Best Model) - Loss: 0.6469 - Accuracy: 0.5000 - F1: 0.3333
sub_11:Test (Best Model) - Loss: 0.6699 - Accuracy: 0.5357 - F1: 0.5243
sub_12:Test (Best Model) - Loss: 0.6991 - Accuracy: 0.6071 - F1: 0.5540
sub_12:Test (Best Model) - Loss: 1.1101 - Accuracy: 0.5000 - F1: 0.3333
sub_10:Test (Best Model) - Loss: 0.6163 - Accuracy: 0.5595 - F1: 0.4535
sub_11:Test (Best Model) - Loss: 0.6750 - Accuracy: 0.4881 - F1: 0.4540
sub_11:Test (Best Model) - Loss: 0.6832 - Accuracy: 0.5238 - F1: 0.4643
sub_10:Test (Best Model) - Loss: 0.6601 - Accuracy: 0.5000 - F1: 0.3333
sub_10:Test (Best Model) - Loss: 0.6540 - Accuracy: 0.5000 - F1: 0.3333
sub_11:Test (Best Model) - Loss: 0.6512 - Accuracy: 0.5714 - F1: 0.5333
sub_10:Test (Best Model) - Loss: 0.6364 - Accuracy: 0.5952 - F1: 0.5159
sub_14:Test (Best Model) - Loss: 0.7512 - Accuracy: 0.5595 - F1: 0.4535
sub_13:Test (Best Model) - Loss: 0.6245 - Accuracy: 0.6071 - F1: 0.5354
sub_14:Test (Best Model) - Loss: 0.7230 - Accuracy: 0.6667 - F1: 0.6650
sub_14:Test (Best Model) - Loss: 0.8077 - Accuracy: 0.5000 - F1: 0.3333
sub_13:Test (Best Model) - Loss: 0.6660 - Accuracy: 0.5357 - F1: 0.4081
sub_14:Test (Best Model) - Loss: 0.7274 - Accuracy: 0.5833 - F1: 0.4958
sub_13:Test (Best Model) - Loss: 0.5756 - Accuracy: 0.9048 - F1: 0.9043
sub_14:Test (Best Model) - Loss: 0.7703 - Accuracy: 0.5952 - F1: 0.5265
sub_14:Test (Best Model) - Loss: 0.6825 - Accuracy: 0.7143 - F1: 0.7005
sub_14:Test (Best Model) - Loss: 0.6744 - Accuracy: 0.5000 - F1: 0.3534
sub_13:Test (Best Model) - Loss: 0.5467 - Accuracy: 0.8452 - F1: 0.8425
sub_14:Test (Best Model) - Loss: 0.6955 - Accuracy: 0.6905 - F1: 0.6903
sub_13:Test (Best Model) - Loss: 0.5998 - Accuracy: 0.6548 - F1: 0.6080
sub_14:Test (Best Model) - Loss: 0.7163 - Accuracy: 0.7143 - F1: 0.7035
sub_13:Test (Best Model) - Loss: 0.6834 - Accuracy: 0.7619 - F1: 0.7585
sub_14:Test (Best Model) - Loss: 0.6695 - Accuracy: 0.7024 - F1: 0.7013
sub_13:Test (Best Model) - Loss: 0.5979 - Accuracy: 0.7976 - F1: 0.7910
sub_14:Test (Best Model) - Loss: 0.7006 - Accuracy: 0.5000 - F1: 0.4989
sub_13:Test (Best Model) - Loss: 0.6244 - Accuracy: 0.8452 - F1: 0.8447
sub_14:Test (Best Model) - Loss: 0.6786 - Accuracy: 0.5357 - F1: 0.4081
sub_13:Test (Best Model) - Loss: 0.6457 - Accuracy: 0.7619 - F1: 0.7529
sub_14:Test (Best Model) - Loss: 0.7018 - Accuracy: 0.4643 - F1: 0.4605
sub_13:Test (Best Model) - Loss: 0.5802 - Accuracy: 0.8571 - F1: 0.8571
sub_14:Test (Best Model) - Loss: 0.6902 - Accuracy: 0.5357 - F1: 0.4625
sub_13:Test (Best Model) - Loss: 0.6792 - Accuracy: 0.7738 - F1: 0.7641
sub_14:Test (Best Model) - Loss: 0.6761 - Accuracy: 0.5357 - F1: 0.4081
sub_13:Test (Best Model) - Loss: 0.5830 - Accuracy: 0.7857 - F1: 0.7838
sub_13:Test (Best Model) - Loss: 0.5984 - Accuracy: 0.8571 - F1: 0.8571
sub_13:Test (Best Model) - Loss: 0.6388 - Accuracy: 0.8333 - F1: 0.8325
sub_13:Test (Best Model) - Loss: 0.5026 - Accuracy: 0.8810 - F1: 0.8809

=== Summary Results ===

acc: 59.93 ± 8.85
F1: 53.26 ± 11.91
acc-in: 70.28 ± 7.35
F1-in: 67.53 ± 8.97
runing time: 1096.91 seconds
