Early stopping config: metric=val_loss, mode=min, patience=5
epoch:0 train_loss:1.710453 val_loss:1.367738 train_acc:0.395089 val_acc:0.250000 loss_gap:0.342715
epoch:1 train_loss:1.105886 val_loss:1.392491 train_acc:0.462054 val_acc:0.375000 loss_gap:0.286604
epoch:2 train_loss:1.159606 val_loss:1.040703 train_acc:0.477679 val_acc:0.500000 loss_gap:0.118903
epoch:3 train_loss:1.245781 val_loss:0.861950 train_acc:0.366071 val_acc:0.812500 loss_gap:0.383831
epoch:4 train_loss:1.285309 val_loss:1.425578 train_acc:0.421875 val_acc:0.187500 loss_gap:0.140269
epoch:5 train_loss:1.320561 val_loss:1.096012 train_acc:0.444196 val_acc:0.625000 loss_gap:0.224549
epoch:6 train_loss:1.045462 val_loss:0.975311 train_acc:0.475446 val_acc:0.375000 loss_gap:0.070150
epoch:7 train_loss:1.027790 val_loss:0.911318 train_acc:0.466518 val_acc:0.437500 loss_gap:0.116472
epoch:8 train_loss:1.066935 val_loss:0.822223 train_acc:0.491071 val_acc:0.500000 loss_gap:0.244712
epoch:9 train_loss:0.963007 val_loss:1.024249 train_acc:0.473214 val_acc:0.312500 loss_gap:0.061241
epoch:10 train_loss:0.959602 val_loss:0.766159 train_acc:0.455357 val_acc:0.750000 loss_gap:0.193443
epoch:11 train_loss:0.945967 val_loss:0.960697 train_acc:0.526786 val_acc:0.437500 loss_gap:0.014730
epoch:12 train_loss:0.951865 val_loss:0.675142 train_acc:0.441964 val_acc:0.625000 loss_gap:0.276722
epoch:13 train_loss:1.046889 val_loss:0.665888 train_acc:0.470982 val_acc:0.750000 loss_gap:0.381001
epoch:14 train_loss:0.993287 val_loss:0.832247 train_acc:0.444196 val_acc:0.500000 loss_gap:0.161040
epoch:15 train_loss:0.922493 val_loss:0.758014 train_acc:0.506696 val_acc:0.750000 loss_gap:0.164479
epoch:16 train_loss:0.859977 val_loss:0.743558 train_acc:0.524554 val_acc:0.625000 loss_gap:0.116420
epoch:17 train_loss:0.805393 val_loss:0.832937 train_acc:0.551339 val_acc:0.437500 loss_gap:0.027544
epoch:18 train_loss:0.821002 val_loss:0.646481 train_acc:0.495536 val_acc:0.750000 loss_gap:0.174521
epoch:19 train_loss:0.873896 val_loss:0.740038 train_acc:0.593750 val_acc:0.562500 loss_gap:0.133857
epoch:20 train_loss:0.795054 val_loss:0.669613 train_acc:0.571429 val_acc:0.562500 loss_gap:0.125442
epoch:21 train_loss:0.802865 val_loss:0.942800 train_acc:0.602679 val_acc:0.437500 loss_gap:0.139935
epoch:22 train_loss:0.785679 val_loss:0.608761 train_acc:0.647321 val_acc:0.812500 loss_gap:0.176917
epoch:23 train_loss:0.820470 val_loss:0.714550 train_acc:0.477679 val_acc:0.687500 loss_gap:0.105920
epoch:24 train_loss:0.840411 val_loss:0.862844 train_acc:0.631696 val_acc:0.500000 loss_gap:0.022433
epoch:25 train_loss:0.751893 val_loss:0.526285 train_acc:0.645089 val_acc:0.687500 loss_gap:0.225607
epoch:26 train_loss:0.675541 val_loss:0.497539 train_acc:0.678571 val_acc:0.687500 loss_gap:0.178001
epoch:27 train_loss:0.668389 val_loss:0.795854 train_acc:0.700893 val_acc:0.625000 loss_gap:0.127465
epoch:28 train_loss:0.771367 val_loss:0.750144 train_acc:0.604911 val_acc:0.625000 loss_gap:0.021223
epoch:29 train_loss:0.677976 val_loss:0.741049 train_acc:0.667411 val_acc:0.500000 loss_gap:0.063073
epoch:30 train_loss:0.609092 val_loss:0.646737 train_acc:0.683036 val_acc:0.687500 loss_gap:0.037645
epoch:31 train_loss:0.503312 val_loss:0.414027 train_acc:0.808036 val_acc:0.937500 loss_gap:0.089285
epoch:32 train_loss:0.458927 val_loss:0.782710 train_acc:0.812500 val_acc:0.687500 loss_gap:0.323783
epoch:33 train_loss:0.608648 val_loss:0.334472 train_acc:0.747768 val_acc:0.875000 loss_gap:0.274176
epoch:34 train_loss:0.756212 val_loss:0.847797 train_acc:0.712054 val_acc:0.625000 loss_gap:0.091585
epoch:35 train_loss:0.444596 val_loss:0.296937 train_acc:0.792411 val_acc:0.937500 loss_gap:0.147658
epoch:36 train_loss:0.266370 val_loss:0.277117 train_acc:0.859375 val_acc:0.937500 loss_gap:0.010747
epoch:37 train_loss:0.183159 val_loss:0.391608 train_acc:0.901786 val_acc:0.875000 loss_gap:0.208449
epoch:38 train_loss:0.115562 val_loss:0.173857 train_acc:0.984375 val_acc:0.937500 loss_gap:0.058295
epoch:39 train_loss:0.143709 val_loss:0.272256 train_acc:0.890625 val_acc:0.937500 loss_gap:0.128547
epoch:40 train_loss:0.103220 val_loss:0.747568 train_acc:0.953125 val_acc:0.875000 loss_gap:0.644347
epoch:41 train_loss:0.294608 val_loss:0.193525 train_acc:0.890625 val_acc:0.937500 loss_gap:0.101083
epoch:42 train_loss:0.157387 val_loss:0.474290 train_acc:0.950893 val_acc:0.750000 loss_gap:0.316903
epoch:43 train_loss:0.532347 val_loss:0.147291 train_acc:0.790179 val_acc:0.937500 loss_gap:0.385055
epoch:44 train_loss:0.371113 val_loss:0.134672 train_acc:0.872768 val_acc:0.937500 loss_gap:0.236442
epoch:45 train_loss:0.192017 val_loss:0.479150 train_acc:0.937500 val_acc:0.875000 loss_gap:0.287133
epoch:46 train_loss:0.115819 val_loss:0.386735 train_acc:0.968750 val_acc:0.937500 loss_gap:0.270915
epoch:47 train_loss:0.137283 val_loss:0.397668 train_acc:0.921875 val_acc:0.937500 loss_gap:0.260384
epoch:48 train_loss:0.102682 val_loss:0.490826 train_acc:0.968750 val_acc:0.937500 loss_gap:0.388144
epoch:49 train_loss:0.074369 val_loss:0.538726 train_acc:0.984375 val_acc:0.937500 loss_gap:0.464358
Early stopping config: metric=val_loss, mode=min, patience=1000
epoch:0 train_loss:1.710453 val_loss:1.367738 train_acc:0.395089 val_acc:0.250000 loss_gap:0.342715
epoch:1 train_loss:1.105886 val_loss:1.392491 train_acc:0.462054 val_acc:0.375000 loss_gap:0.286604
epoch:2 train_loss:1.159606 val_loss:1.040703 train_acc:0.477679 val_acc:0.500000 loss_gap:0.118903
epoch:3 train_loss:1.245781 val_loss:0.861950 train_acc:0.366071 val_acc:0.812500 loss_gap:0.383831
epoch:4 train_loss:1.285309 val_loss:1.425578 train_acc:0.421875 val_acc:0.187500 loss_gap:0.140269
epoch:5 train_loss:1.320561 val_loss:1.096012 train_acc:0.444196 val_acc:0.625000 loss_gap:0.224549
epoch:6 train_loss:1.045462 val_loss:0.975311 train_acc:0.475446 val_acc:0.375000 loss_gap:0.070150
epoch:7 train_loss:1.027790 val_loss:0.911318 train_acc:0.466518 val_acc:0.437500 loss_gap:0.116472
epoch:8 train_loss:1.066935 val_loss:0.822223 train_acc:0.491071 val_acc:0.500000 loss_gap:0.244712
epoch:9 train_loss:0.963007 val_loss:1.024249 train_acc:0.473214 val_acc:0.312500 loss_gap:0.061241
epoch:10 train_loss:0.959602 val_loss:0.766159 train_acc:0.455357 val_acc:0.750000 loss_gap:0.193443
epoch:11 train_loss:0.945967 val_loss:0.960697 train_acc:0.526786 val_acc:0.437500 loss_gap:0.014730
epoch:12 train_loss:0.951865 val_loss:0.675142 train_acc:0.441964 val_acc:0.625000 loss_gap:0.276722
epoch:13 train_loss:1.046889 val_loss:0.665888 train_acc:0.470982 val_acc:0.750000 loss_gap:0.381001
epoch:14 train_loss:0.993287 val_loss:0.832247 train_acc:0.444196 val_acc:0.500000 loss_gap:0.161040
epoch:15 train_loss:0.922493 val_loss:0.758014 train_acc:0.506696 val_acc:0.750000 loss_gap:0.164479
epoch:16 train_loss:0.859977 val_loss:0.743558 train_acc:0.524554 val_acc:0.625000 loss_gap:0.116420
epoch:17 train_loss:0.805393 val_loss:0.832937 train_acc:0.551339 val_acc:0.437500 loss_gap:0.027544
epoch:18 train_loss:0.821002 val_loss:0.646481 train_acc:0.495536 val_acc:0.750000 loss_gap:0.174521
epoch:19 train_loss:0.873896 val_loss:0.740038 train_acc:0.593750 val_acc:0.562500 loss_gap:0.133857
epoch:20 train_loss:0.795054 val_loss:0.669613 train_acc:0.571429 val_acc:0.562500 loss_gap:0.125442
epoch:21 train_loss:0.802865 val_loss:0.942800 train_acc:0.602679 val_acc:0.437500 loss_gap:0.139935
epoch:22 train_loss:0.785679 val_loss:0.608761 train_acc:0.647321 val_acc:0.812500 loss_gap:0.176917
epoch:23 train_loss:0.820470 val_loss:0.714550 train_acc:0.477679 val_acc:0.687500 loss_gap:0.105920
epoch:24 train_loss:0.840411 val_loss:0.862844 train_acc:0.631696 val_acc:0.500000 loss_gap:0.022433
epoch:25 train_loss:0.751893 val_loss:0.526285 train_acc:0.645089 val_acc:0.687500 loss_gap:0.225607
epoch:26 train_loss:0.675541 val_loss:0.497539 train_acc:0.678571 val_acc:0.687500 loss_gap:0.178001
epoch:27 train_loss:0.668389 val_loss:0.795854 train_acc:0.700893 val_acc:0.625000 loss_gap:0.127465
epoch:28 train_loss:0.771367 val_loss:0.750144 train_acc:0.604911 val_acc:0.625000 loss_gap:0.021223
epoch:29 train_loss:0.677976 val_loss:0.741049 train_acc:0.667411 val_acc:0.500000 loss_gap:0.063073
epoch:30 train_loss:0.609092 val_loss:0.646737 train_acc:0.683036 val_acc:0.687500 loss_gap:0.037645
epoch:31 train_loss:0.503312 val_loss:0.414027 train_acc:0.808036 val_acc:0.937500 loss_gap:0.089285
epoch:32 train_loss:0.458927 val_loss:0.782710 train_acc:0.812500 val_acc:0.687500 loss_gap:0.323783
epoch:33 train_loss:0.608648 val_loss:0.334472 train_acc:0.747768 val_acc:0.875000 loss_gap:0.274176
epoch:34 train_loss:0.756212 val_loss:0.847797 train_acc:0.712054 val_acc:0.625000 loss_gap:0.091585
epoch:35 train_loss:0.444596 val_loss:0.296937 train_acc:0.792411 val_acc:0.937500 loss_gap:0.147658
epoch:36 train_loss:0.266370 val_loss:0.277117 train_acc:0.859375 val_acc:0.937500 loss_gap:0.010747
epoch:37 train_loss:0.183159 val_loss:0.391608 train_acc:0.901786 val_acc:0.875000 loss_gap:0.208449
epoch:38 train_loss:0.115562 val_loss:0.173857 train_acc:0.984375 val_acc:0.937500 loss_gap:0.058295
epoch:39 train_loss:0.143709 val_loss:0.272256 train_acc:0.890625 val_acc:0.937500 loss_gap:0.128547
epoch:40 train_loss:0.103220 val_loss:0.747568 train_acc:0.953125 val_acc:0.875000 loss_gap:0.644347
epoch:41 train_loss:0.294608 val_loss:0.193525 train_acc:0.890625 val_acc:0.937500 loss_gap:0.101083
epoch:42 train_loss:0.157387 val_loss:0.474290 train_acc:0.950893 val_acc:0.750000 loss_gap:0.316903
epoch:43 train_loss:0.532347 val_loss:0.147291 train_acc:0.790179 val_acc:0.937500 loss_gap:0.385055
epoch:44 train_loss:0.371113 val_loss:0.134672 train_acc:0.872768 val_acc:0.937500 loss_gap:0.236442
epoch:45 train_loss:0.192017 val_loss:0.479150 train_acc:0.937500 val_acc:0.875000 loss_gap:0.287133
epoch:46 train_loss:0.115819 val_loss:0.386735 train_acc:0.968750 val_acc:0.937500 loss_gap:0.270915
epoch:47 train_loss:0.137283 val_loss:0.397668 train_acc:0.921875 val_acc:0.937500 loss_gap:0.260384
epoch:48 train_loss:0.102682 val_loss:0.490826 train_acc:0.968750 val_acc:0.937500 loss_gap:0.388144
epoch:49 train_loss:0.074369 val_loss:0.538726 train_acc:0.984375 val_acc:0.937500 loss_gap:0.464358
epoch:50 train_loss:0.051188 val_loss:0.449639 train_acc:0.984375 val_acc:0.937500 loss_gap:0.398451
epoch:51 train_loss:0.026429 val_loss:0.467872 train_acc:1.000000 val_acc:0.937500 loss_gap:0.441443
epoch:52 train_loss:0.028060 val_loss:0.364504 train_acc:1.000000 val_acc:0.937500 loss_gap:0.336445
epoch:53 train_loss:0.018184 val_loss:0.502182 train_acc:1.000000 val_acc:0.937500 loss_gap:0.483998
epoch:54 train_loss:0.012965 val_loss:0.531970 train_acc:1.000000 val_acc:0.937500 loss_gap:0.519005
epoch:55 train_loss:0.023383 val_loss:0.531029 train_acc:0.984375 val_acc:0.937500 loss_gap:0.507646
epoch:56 train_loss:0.025984 val_loss:0.404027 train_acc:0.984375 val_acc:0.937500 loss_gap:0.378043
epoch:57 train_loss:0.010870 val_loss:0.532487 train_acc:1.000000 val_acc:0.875000 loss_gap:0.521617
epoch:58 train_loss:0.011274 val_loss:0.408844 train_acc:1.000000 val_acc:0.937500 loss_gap:0.397571
epoch:59 train_loss:0.008545 val_loss:0.437901 train_acc:1.000000 val_acc:0.937500 loss_gap:0.429356
epoch:60 train_loss:0.012324 val_loss:0.347879 train_acc:1.000000 val_acc:0.937500 loss_gap:0.335555
epoch:61 train_loss:0.005901 val_loss:0.416404 train_acc:1.000000 val_acc:0.937500 loss_gap:0.410503
epoch:62 train_loss:0.007729 val_loss:0.470034 train_acc:1.000000 val_acc:0.937500 loss_gap:0.462306
epoch:63 train_loss:0.010130 val_loss:0.403553 train_acc:1.000000 val_acc:0.937500 loss_gap:0.393423
epoch:64 train_loss:0.006991 val_loss:0.445192 train_acc:1.000000 val_acc:0.937500 loss_gap:0.438201
epoch:65 train_loss:0.005087 val_loss:0.416155 train_acc:1.000000 val_acc:0.937500 loss_gap:0.411068
epoch:66 train_loss:0.006093 val_loss:0.459967 train_acc:1.000000 val_acc:0.937500 loss_gap:0.453874
epoch:67 train_loss:0.007061 val_loss:0.427640 train_acc:1.000000 val_acc:0.937500 loss_gap:0.420578
epoch:68 train_loss:0.008602 val_loss:0.387373 train_acc:1.000000 val_acc:0.937500 loss_gap:0.378771
epoch:69 train_loss:0.005778 val_loss:0.453755 train_acc:1.000000 val_acc:0.937500 loss_gap:0.447977
epoch:70 train_loss:0.006469 val_loss:0.511992 train_acc:1.000000 val_acc:0.937500 loss_gap:0.505524
epoch:71 train_loss:0.008542 val_loss:0.389429 train_acc:1.000000 val_acc:0.937500 loss_gap:0.380888
epoch:72 train_loss:0.006504 val_loss:0.472248 train_acc:1.000000 val_acc:0.937500 loss_gap:0.465744
epoch:73 train_loss:0.004250 val_loss:0.444935 train_acc:1.000000 val_acc:0.937500 loss_gap:0.440685
epoch:74 train_loss:0.005455 val_loss:0.418315 train_acc:1.000000 val_acc:0.937500 loss_gap:0.412860
epoch:75 train_loss:0.006402 val_loss:0.484650 train_acc:1.000000 val_acc:0.937500 loss_gap:0.478248
epoch:76 train_loss:0.008220 val_loss:0.491201 train_acc:1.000000 val_acc:0.937500 loss_gap:0.482981
epoch:77 train_loss:0.006521 val_loss:0.448214 train_acc:1.000000 val_acc:0.937500 loss_gap:0.441693
epoch:78 train_loss:0.008090 val_loss:0.453693 train_acc:1.000000 val_acc:0.937500 loss_gap:0.445603
epoch:79 train_loss:0.007737 val_loss:0.365813 train_acc:1.000000 val_acc:0.937500 loss_gap:0.358076
epoch:80 train_loss:0.008751 val_loss:0.446847 train_acc:1.000000 val_acc:0.937500 loss_gap:0.438095
epoch:81 train_loss:0.005078 val_loss:0.462746 train_acc:1.000000 val_acc:0.937500 loss_gap:0.457668
epoch:82 train_loss:0.006346 val_loss:0.517293 train_acc:1.000000 val_acc:0.937500 loss_gap:0.510947
epoch:83 train_loss:0.004777 val_loss:0.531485 train_acc:1.000000 val_acc:0.937500 loss_gap:0.526708
epoch:84 train_loss:0.003999 val_loss:0.459291 train_acc:1.000000 val_acc:0.937500 loss_gap:0.455292
epoch:85 train_loss:0.005091 val_loss:0.496760 train_acc:1.000000 val_acc:0.937500 loss_gap:0.491669
epoch:86 train_loss:0.004887 val_loss:0.392697 train_acc:1.000000 val_acc:0.937500 loss_gap:0.387809
epoch:87 train_loss:0.006051 val_loss:0.468766 train_acc:1.000000 val_acc:0.937500 loss_gap:0.462715
epoch:88 train_loss:0.009142 val_loss:0.527172 train_acc:1.000000 val_acc:0.937500 loss_gap:0.518031
epoch:89 train_loss:0.005639 val_loss:0.358909 train_acc:1.000000 val_acc:0.937500 loss_gap:0.353269
epoch:90 train_loss:0.007575 val_loss:0.457682 train_acc:1.000000 val_acc:0.937500 loss_gap:0.450107
epoch:91 train_loss:0.005348 val_loss:0.396551 train_acc:1.000000 val_acc:0.937500 loss_gap:0.391203
epoch:92 train_loss:0.005922 val_loss:0.451448 train_acc:1.000000 val_acc:0.937500 loss_gap:0.445525
epoch:93 train_loss:0.004566 val_loss:0.428253 train_acc:1.000000 val_acc:0.937500 loss_gap:0.423687
epoch:94 train_loss:0.006899 val_loss:0.384520 train_acc:1.000000 val_acc:0.937500 loss_gap:0.377621
epoch:95 train_loss:0.005243 val_loss:0.471161 train_acc:1.000000 val_acc:0.937500 loss_gap:0.465918
epoch:96 train_loss:0.006054 val_loss:0.575518 train_acc:1.000000 val_acc:0.937500 loss_gap:0.569464
epoch:97 train_loss:0.008283 val_loss:0.499242 train_acc:1.000000 val_acc:0.937500 loss_gap:0.490959
epoch:98 train_loss:0.006188 val_loss:0.448728 train_acc:1.000000 val_acc:0.937500 loss_gap:0.442539
epoch:99 train_loss:0.006260 val_loss:0.454590 train_acc:1.000000 val_acc:0.937500 loss_gap:0.448330
epoch:100 train_loss:0.006236 val_loss:0.474855 train_acc:1.000000 val_acc:0.937500 loss_gap:0.468619
epoch:101 train_loss:0.006756 val_loss:0.483845 train_acc:1.000000 val_acc:0.937500 loss_gap:0.477089
epoch:102 train_loss:0.003426 val_loss:0.333687 train_acc:1.000000 val_acc:0.937500 loss_gap:0.330261
epoch:103 train_loss:0.008670 val_loss:0.454216 train_acc:1.000000 val_acc:0.937500 loss_gap:0.445546
epoch:104 train_loss:0.008218 val_loss:0.502664 train_acc:1.000000 val_acc:0.937500 loss_gap:0.494446
epoch:105 train_loss:0.004529 val_loss:0.425412 train_acc:1.000000 val_acc:0.937500 loss_gap:0.420883
epoch:106 train_loss:0.004305 val_loss:0.463639 train_acc:1.000000 val_acc:0.937500 loss_gap:0.459334
epoch:107 train_loss:0.008557 val_loss:0.484157 train_acc:1.000000 val_acc:0.937500 loss_gap:0.475600
epoch:108 train_loss:0.005541 val_loss:0.439746 train_acc:1.000000 val_acc:0.937500 loss_gap:0.434206
epoch:109 train_loss:0.004650 val_loss:0.457183 train_acc:1.000000 val_acc:0.937500 loss_gap:0.452533
epoch:110 train_loss:0.004896 val_loss:0.474622 train_acc:1.000000 val_acc:0.937500 loss_gap:0.469726
epoch:111 train_loss:0.007380 val_loss:0.437545 train_acc:1.000000 val_acc:0.937500 loss_gap:0.430165
epoch:112 train_loss:0.009632 val_loss:0.459328 train_acc:1.000000 val_acc:0.937500 loss_gap:0.449696
epoch:113 train_loss:0.005024 val_loss:0.432268 train_acc:1.000000 val_acc:0.937500 loss_gap:0.427244
epoch:114 train_loss:0.003733 val_loss:0.443250 train_acc:1.000000 val_acc:0.937500 loss_gap:0.439517
epoch:115 train_loss:0.006447 val_loss:0.583492 train_acc:1.000000 val_acc:0.937500 loss_gap:0.577045
epoch:116 train_loss:0.007142 val_loss:0.422248 train_acc:1.000000 val_acc:0.937500 loss_gap:0.415105
epoch:117 train_loss:0.010889 val_loss:0.344358 train_acc:1.000000 val_acc:0.937500 loss_gap:0.333470
epoch:118 train_loss:0.005476 val_loss:0.540533 train_acc:1.000000 val_acc:0.937500 loss_gap:0.535057
epoch:119 train_loss:0.004625 val_loss:0.437196 train_acc:1.000000 val_acc:0.937500 loss_gap:0.432571
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