add: transformer files
Browse files- transformer_large.log +202 -0
transformer_large.log
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| 1 |
+
Early stopping config: metric=val_loss, mode=min, patience=5
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| 2 |
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epoch:0 train_loss:1.710453 val_loss:1.367738 train_acc:0.395089 val_acc:0.250000 loss_gap:0.342715
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| 3 |
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epoch:1 train_loss:1.105886 val_loss:1.392491 train_acc:0.462054 val_acc:0.375000 loss_gap:0.286604
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| 4 |
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epoch:2 train_loss:1.159606 val_loss:1.040703 train_acc:0.477679 val_acc:0.500000 loss_gap:0.118903
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| 5 |
+
epoch:3 train_loss:1.245781 val_loss:0.861950 train_acc:0.366071 val_acc:0.812500 loss_gap:0.383831
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| 6 |
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epoch:4 train_loss:1.285309 val_loss:1.425578 train_acc:0.421875 val_acc:0.187500 loss_gap:0.140269
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| 7 |
+
epoch:5 train_loss:1.320561 val_loss:1.096012 train_acc:0.444196 val_acc:0.625000 loss_gap:0.224549
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| 8 |
+
epoch:6 train_loss:1.045462 val_loss:0.975311 train_acc:0.475446 val_acc:0.375000 loss_gap:0.070150
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| 9 |
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epoch:7 train_loss:1.027790 val_loss:0.911318 train_acc:0.466518 val_acc:0.437500 loss_gap:0.116472
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| 10 |
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epoch:8 train_loss:1.066935 val_loss:0.822223 train_acc:0.491071 val_acc:0.500000 loss_gap:0.244712
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| 11 |
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epoch:9 train_loss:0.963007 val_loss:1.024249 train_acc:0.473214 val_acc:0.312500 loss_gap:0.061241
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| 12 |
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epoch:10 train_loss:0.959602 val_loss:0.766159 train_acc:0.455357 val_acc:0.750000 loss_gap:0.193443
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| 13 |
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epoch:11 train_loss:0.945967 val_loss:0.960697 train_acc:0.526786 val_acc:0.437500 loss_gap:0.014730
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| 14 |
+
epoch:12 train_loss:0.951865 val_loss:0.675142 train_acc:0.441964 val_acc:0.625000 loss_gap:0.276722
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| 15 |
+
epoch:13 train_loss:1.046889 val_loss:0.665888 train_acc:0.470982 val_acc:0.750000 loss_gap:0.381001
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| 16 |
+
epoch:14 train_loss:0.993287 val_loss:0.832247 train_acc:0.444196 val_acc:0.500000 loss_gap:0.161040
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| 17 |
+
epoch:15 train_loss:0.922493 val_loss:0.758014 train_acc:0.506696 val_acc:0.750000 loss_gap:0.164479
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| 18 |
+
epoch:16 train_loss:0.859977 val_loss:0.743558 train_acc:0.524554 val_acc:0.625000 loss_gap:0.116420
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| 19 |
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epoch:17 train_loss:0.805393 val_loss:0.832937 train_acc:0.551339 val_acc:0.437500 loss_gap:0.027544
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| 20 |
+
epoch:18 train_loss:0.821002 val_loss:0.646481 train_acc:0.495536 val_acc:0.750000 loss_gap:0.174521
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| 21 |
+
epoch:19 train_loss:0.873896 val_loss:0.740038 train_acc:0.593750 val_acc:0.562500 loss_gap:0.133857
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| 22 |
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epoch:20 train_loss:0.795054 val_loss:0.669613 train_acc:0.571429 val_acc:0.562500 loss_gap:0.125442
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| 23 |
+
epoch:21 train_loss:0.802865 val_loss:0.942800 train_acc:0.602679 val_acc:0.437500 loss_gap:0.139935
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| 24 |
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epoch:22 train_loss:0.785679 val_loss:0.608761 train_acc:0.647321 val_acc:0.812500 loss_gap:0.176917
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| 25 |
+
epoch:23 train_loss:0.820470 val_loss:0.714550 train_acc:0.477679 val_acc:0.687500 loss_gap:0.105920
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| 26 |
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epoch:24 train_loss:0.840411 val_loss:0.862844 train_acc:0.631696 val_acc:0.500000 loss_gap:0.022433
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| 27 |
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epoch:25 train_loss:0.751893 val_loss:0.526285 train_acc:0.645089 val_acc:0.687500 loss_gap:0.225607
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| 28 |
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epoch:26 train_loss:0.675541 val_loss:0.497539 train_acc:0.678571 val_acc:0.687500 loss_gap:0.178001
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| 29 |
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epoch:27 train_loss:0.668389 val_loss:0.795854 train_acc:0.700893 val_acc:0.625000 loss_gap:0.127465
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| 30 |
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epoch:28 train_loss:0.771367 val_loss:0.750144 train_acc:0.604911 val_acc:0.625000 loss_gap:0.021223
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| 31 |
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epoch:29 train_loss:0.677976 val_loss:0.741049 train_acc:0.667411 val_acc:0.500000 loss_gap:0.063073
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| 32 |
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epoch:30 train_loss:0.609092 val_loss:0.646737 train_acc:0.683036 val_acc:0.687500 loss_gap:0.037645
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| 33 |
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epoch:31 train_loss:0.503312 val_loss:0.414027 train_acc:0.808036 val_acc:0.937500 loss_gap:0.089285
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| 34 |
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epoch:32 train_loss:0.458927 val_loss:0.782710 train_acc:0.812500 val_acc:0.687500 loss_gap:0.323783
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| 35 |
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epoch:33 train_loss:0.608648 val_loss:0.334472 train_acc:0.747768 val_acc:0.875000 loss_gap:0.274176
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| 36 |
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epoch:34 train_loss:0.756212 val_loss:0.847797 train_acc:0.712054 val_acc:0.625000 loss_gap:0.091585
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| 37 |
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epoch:35 train_loss:0.444596 val_loss:0.296937 train_acc:0.792411 val_acc:0.937500 loss_gap:0.147658
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| 38 |
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epoch:36 train_loss:0.266370 val_loss:0.277117 train_acc:0.859375 val_acc:0.937500 loss_gap:0.010747
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| 39 |
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epoch:37 train_loss:0.183159 val_loss:0.391608 train_acc:0.901786 val_acc:0.875000 loss_gap:0.208449
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| 40 |
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epoch:38 train_loss:0.115562 val_loss:0.173857 train_acc:0.984375 val_acc:0.937500 loss_gap:0.058295
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| 41 |
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epoch:39 train_loss:0.143709 val_loss:0.272256 train_acc:0.890625 val_acc:0.937500 loss_gap:0.128547
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| 42 |
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epoch:40 train_loss:0.103220 val_loss:0.747568 train_acc:0.953125 val_acc:0.875000 loss_gap:0.644347
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| 43 |
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epoch:41 train_loss:0.294608 val_loss:0.193525 train_acc:0.890625 val_acc:0.937500 loss_gap:0.101083
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| 44 |
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epoch:42 train_loss:0.157387 val_loss:0.474290 train_acc:0.950893 val_acc:0.750000 loss_gap:0.316903
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| 45 |
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epoch:43 train_loss:0.532347 val_loss:0.147291 train_acc:0.790179 val_acc:0.937500 loss_gap:0.385055
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| 46 |
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epoch:44 train_loss:0.371113 val_loss:0.134672 train_acc:0.872768 val_acc:0.937500 loss_gap:0.236442
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| 47 |
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epoch:45 train_loss:0.192017 val_loss:0.479150 train_acc:0.937500 val_acc:0.875000 loss_gap:0.287133
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| 48 |
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epoch:46 train_loss:0.115819 val_loss:0.386735 train_acc:0.968750 val_acc:0.937500 loss_gap:0.270915
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| 49 |
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epoch:47 train_loss:0.137283 val_loss:0.397668 train_acc:0.921875 val_acc:0.937500 loss_gap:0.260384
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| 50 |
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epoch:48 train_loss:0.102682 val_loss:0.490826 train_acc:0.968750 val_acc:0.937500 loss_gap:0.388144
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| 51 |
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epoch:49 train_loss:0.074369 val_loss:0.538726 train_acc:0.984375 val_acc:0.937500 loss_gap:0.464358
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| 52 |
+
Early stopping config: metric=val_loss, mode=min, patience=1000
|
| 53 |
+
epoch:0 train_loss:1.710453 val_loss:1.367738 train_acc:0.395089 val_acc:0.250000 loss_gap:0.342715
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| 54 |
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epoch:1 train_loss:1.105886 val_loss:1.392491 train_acc:0.462054 val_acc:0.375000 loss_gap:0.286604
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| 55 |
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epoch:2 train_loss:1.159606 val_loss:1.040703 train_acc:0.477679 val_acc:0.500000 loss_gap:0.118903
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| 56 |
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epoch:3 train_loss:1.245781 val_loss:0.861950 train_acc:0.366071 val_acc:0.812500 loss_gap:0.383831
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| 57 |
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epoch:4 train_loss:1.285309 val_loss:1.425578 train_acc:0.421875 val_acc:0.187500 loss_gap:0.140269
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| 58 |
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epoch:5 train_loss:1.320561 val_loss:1.096012 train_acc:0.444196 val_acc:0.625000 loss_gap:0.224549
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| 59 |
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epoch:6 train_loss:1.045462 val_loss:0.975311 train_acc:0.475446 val_acc:0.375000 loss_gap:0.070150
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| 60 |
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epoch:7 train_loss:1.027790 val_loss:0.911318 train_acc:0.466518 val_acc:0.437500 loss_gap:0.116472
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| 61 |
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epoch:8 train_loss:1.066935 val_loss:0.822223 train_acc:0.491071 val_acc:0.500000 loss_gap:0.244712
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| 62 |
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epoch:9 train_loss:0.963007 val_loss:1.024249 train_acc:0.473214 val_acc:0.312500 loss_gap:0.061241
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| 63 |
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epoch:10 train_loss:0.959602 val_loss:0.766159 train_acc:0.455357 val_acc:0.750000 loss_gap:0.193443
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| 64 |
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epoch:11 train_loss:0.945967 val_loss:0.960697 train_acc:0.526786 val_acc:0.437500 loss_gap:0.014730
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| 65 |
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epoch:12 train_loss:0.951865 val_loss:0.675142 train_acc:0.441964 val_acc:0.625000 loss_gap:0.276722
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| 66 |
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epoch:13 train_loss:1.046889 val_loss:0.665888 train_acc:0.470982 val_acc:0.750000 loss_gap:0.381001
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| 67 |
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epoch:14 train_loss:0.993287 val_loss:0.832247 train_acc:0.444196 val_acc:0.500000 loss_gap:0.161040
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| 68 |
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epoch:15 train_loss:0.922493 val_loss:0.758014 train_acc:0.506696 val_acc:0.750000 loss_gap:0.164479
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| 69 |
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epoch:16 train_loss:0.859977 val_loss:0.743558 train_acc:0.524554 val_acc:0.625000 loss_gap:0.116420
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| 70 |
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epoch:17 train_loss:0.805393 val_loss:0.832937 train_acc:0.551339 val_acc:0.437500 loss_gap:0.027544
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| 71 |
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epoch:18 train_loss:0.821002 val_loss:0.646481 train_acc:0.495536 val_acc:0.750000 loss_gap:0.174521
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| 72 |
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epoch:19 train_loss:0.873896 val_loss:0.740038 train_acc:0.593750 val_acc:0.562500 loss_gap:0.133857
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| 73 |
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epoch:20 train_loss:0.795054 val_loss:0.669613 train_acc:0.571429 val_acc:0.562500 loss_gap:0.125442
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| 74 |
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epoch:21 train_loss:0.802865 val_loss:0.942800 train_acc:0.602679 val_acc:0.437500 loss_gap:0.139935
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| 75 |
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epoch:22 train_loss:0.785679 val_loss:0.608761 train_acc:0.647321 val_acc:0.812500 loss_gap:0.176917
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| 76 |
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epoch:23 train_loss:0.820470 val_loss:0.714550 train_acc:0.477679 val_acc:0.687500 loss_gap:0.105920
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| 77 |
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epoch:24 train_loss:0.840411 val_loss:0.862844 train_acc:0.631696 val_acc:0.500000 loss_gap:0.022433
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| 78 |
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epoch:25 train_loss:0.751893 val_loss:0.526285 train_acc:0.645089 val_acc:0.687500 loss_gap:0.225607
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| 79 |
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epoch:26 train_loss:0.675541 val_loss:0.497539 train_acc:0.678571 val_acc:0.687500 loss_gap:0.178001
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| 80 |
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epoch:27 train_loss:0.668389 val_loss:0.795854 train_acc:0.700893 val_acc:0.625000 loss_gap:0.127465
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| 81 |
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epoch:28 train_loss:0.771367 val_loss:0.750144 train_acc:0.604911 val_acc:0.625000 loss_gap:0.021223
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| 82 |
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epoch:29 train_loss:0.677976 val_loss:0.741049 train_acc:0.667411 val_acc:0.500000 loss_gap:0.063073
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| 83 |
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epoch:30 train_loss:0.609092 val_loss:0.646737 train_acc:0.683036 val_acc:0.687500 loss_gap:0.037645
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| 84 |
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epoch:31 train_loss:0.503312 val_loss:0.414027 train_acc:0.808036 val_acc:0.937500 loss_gap:0.089285
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| 85 |
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epoch:32 train_loss:0.458927 val_loss:0.782710 train_acc:0.812500 val_acc:0.687500 loss_gap:0.323783
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| 86 |
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epoch:33 train_loss:0.608648 val_loss:0.334472 train_acc:0.747768 val_acc:0.875000 loss_gap:0.274176
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| 87 |
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epoch:34 train_loss:0.756212 val_loss:0.847797 train_acc:0.712054 val_acc:0.625000 loss_gap:0.091585
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| 88 |
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epoch:35 train_loss:0.444596 val_loss:0.296937 train_acc:0.792411 val_acc:0.937500 loss_gap:0.147658
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| 89 |
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epoch:36 train_loss:0.266370 val_loss:0.277117 train_acc:0.859375 val_acc:0.937500 loss_gap:0.010747
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| 90 |
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epoch:37 train_loss:0.183159 val_loss:0.391608 train_acc:0.901786 val_acc:0.875000 loss_gap:0.208449
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| 91 |
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epoch:38 train_loss:0.115562 val_loss:0.173857 train_acc:0.984375 val_acc:0.937500 loss_gap:0.058295
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| 92 |
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epoch:39 train_loss:0.143709 val_loss:0.272256 train_acc:0.890625 val_acc:0.937500 loss_gap:0.128547
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| 93 |
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epoch:40 train_loss:0.103220 val_loss:0.747568 train_acc:0.953125 val_acc:0.875000 loss_gap:0.644347
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| 94 |
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epoch:41 train_loss:0.294608 val_loss:0.193525 train_acc:0.890625 val_acc:0.937500 loss_gap:0.101083
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| 95 |
+
epoch:42 train_loss:0.157387 val_loss:0.474290 train_acc:0.950893 val_acc:0.750000 loss_gap:0.316903
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| 96 |
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epoch:43 train_loss:0.532347 val_loss:0.147291 train_acc:0.790179 val_acc:0.937500 loss_gap:0.385055
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| 97 |
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epoch:44 train_loss:0.371113 val_loss:0.134672 train_acc:0.872768 val_acc:0.937500 loss_gap:0.236442
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| 98 |
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epoch:45 train_loss:0.192017 val_loss:0.479150 train_acc:0.937500 val_acc:0.875000 loss_gap:0.287133
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| 99 |
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epoch:46 train_loss:0.115819 val_loss:0.386735 train_acc:0.968750 val_acc:0.937500 loss_gap:0.270915
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| 100 |
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epoch:47 train_loss:0.137283 val_loss:0.397668 train_acc:0.921875 val_acc:0.937500 loss_gap:0.260384
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| 101 |
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epoch:48 train_loss:0.102682 val_loss:0.490826 train_acc:0.968750 val_acc:0.937500 loss_gap:0.388144
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| 102 |
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epoch:49 train_loss:0.074369 val_loss:0.538726 train_acc:0.984375 val_acc:0.937500 loss_gap:0.464358
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| 103 |
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epoch:50 train_loss:0.051188 val_loss:0.449639 train_acc:0.984375 val_acc:0.937500 loss_gap:0.398451
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| 104 |
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epoch:51 train_loss:0.026429 val_loss:0.467872 train_acc:1.000000 val_acc:0.937500 loss_gap:0.441443
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| 105 |
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epoch:52 train_loss:0.028060 val_loss:0.364504 train_acc:1.000000 val_acc:0.937500 loss_gap:0.336445
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| 106 |
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epoch:53 train_loss:0.018184 val_loss:0.502182 train_acc:1.000000 val_acc:0.937500 loss_gap:0.483998
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| 107 |
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epoch:54 train_loss:0.012965 val_loss:0.531970 train_acc:1.000000 val_acc:0.937500 loss_gap:0.519005
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| 108 |
+
epoch:55 train_loss:0.023383 val_loss:0.531029 train_acc:0.984375 val_acc:0.937500 loss_gap:0.507646
|
| 109 |
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epoch:56 train_loss:0.025984 val_loss:0.404027 train_acc:0.984375 val_acc:0.937500 loss_gap:0.378043
|
| 110 |
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epoch:57 train_loss:0.010870 val_loss:0.532487 train_acc:1.000000 val_acc:0.875000 loss_gap:0.521617
|
| 111 |
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epoch:58 train_loss:0.011274 val_loss:0.408844 train_acc:1.000000 val_acc:0.937500 loss_gap:0.397571
|
| 112 |
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epoch:59 train_loss:0.008545 val_loss:0.437901 train_acc:1.000000 val_acc:0.937500 loss_gap:0.429356
|
| 113 |
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epoch:60 train_loss:0.012324 val_loss:0.347879 train_acc:1.000000 val_acc:0.937500 loss_gap:0.335555
|
| 114 |
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epoch:61 train_loss:0.005901 val_loss:0.416404 train_acc:1.000000 val_acc:0.937500 loss_gap:0.410503
|
| 115 |
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epoch:62 train_loss:0.007729 val_loss:0.470034 train_acc:1.000000 val_acc:0.937500 loss_gap:0.462306
|
| 116 |
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epoch:63 train_loss:0.010130 val_loss:0.403553 train_acc:1.000000 val_acc:0.937500 loss_gap:0.393423
|
| 117 |
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epoch:64 train_loss:0.006991 val_loss:0.445192 train_acc:1.000000 val_acc:0.937500 loss_gap:0.438201
|
| 118 |
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epoch:65 train_loss:0.005087 val_loss:0.416155 train_acc:1.000000 val_acc:0.937500 loss_gap:0.411068
|
| 119 |
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epoch:66 train_loss:0.006093 val_loss:0.459967 train_acc:1.000000 val_acc:0.937500 loss_gap:0.453874
|
| 120 |
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epoch:67 train_loss:0.007061 val_loss:0.427640 train_acc:1.000000 val_acc:0.937500 loss_gap:0.420578
|
| 121 |
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epoch:68 train_loss:0.008602 val_loss:0.387373 train_acc:1.000000 val_acc:0.937500 loss_gap:0.378771
|
| 122 |
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epoch:69 train_loss:0.005778 val_loss:0.453755 train_acc:1.000000 val_acc:0.937500 loss_gap:0.447977
|
| 123 |
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epoch:70 train_loss:0.006469 val_loss:0.511992 train_acc:1.000000 val_acc:0.937500 loss_gap:0.505524
|
| 124 |
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epoch:71 train_loss:0.008542 val_loss:0.389429 train_acc:1.000000 val_acc:0.937500 loss_gap:0.380888
|
| 125 |
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epoch:72 train_loss:0.006504 val_loss:0.472248 train_acc:1.000000 val_acc:0.937500 loss_gap:0.465744
|
| 126 |
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epoch:73 train_loss:0.004250 val_loss:0.444935 train_acc:1.000000 val_acc:0.937500 loss_gap:0.440685
|
| 127 |
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epoch:74 train_loss:0.005455 val_loss:0.418315 train_acc:1.000000 val_acc:0.937500 loss_gap:0.412860
|
| 128 |
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epoch:75 train_loss:0.006402 val_loss:0.484650 train_acc:1.000000 val_acc:0.937500 loss_gap:0.478248
|
| 129 |
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epoch:76 train_loss:0.008220 val_loss:0.491201 train_acc:1.000000 val_acc:0.937500 loss_gap:0.482981
|
| 130 |
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epoch:77 train_loss:0.006521 val_loss:0.448214 train_acc:1.000000 val_acc:0.937500 loss_gap:0.441693
|
| 131 |
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epoch:78 train_loss:0.008090 val_loss:0.453693 train_acc:1.000000 val_acc:0.937500 loss_gap:0.445603
|
| 132 |
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epoch:79 train_loss:0.007737 val_loss:0.365813 train_acc:1.000000 val_acc:0.937500 loss_gap:0.358076
|
| 133 |
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epoch:80 train_loss:0.008751 val_loss:0.446847 train_acc:1.000000 val_acc:0.937500 loss_gap:0.438095
|
| 134 |
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epoch:81 train_loss:0.005078 val_loss:0.462746 train_acc:1.000000 val_acc:0.937500 loss_gap:0.457668
|
| 135 |
+
epoch:82 train_loss:0.006346 val_loss:0.517293 train_acc:1.000000 val_acc:0.937500 loss_gap:0.510947
|
| 136 |
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epoch:83 train_loss:0.004777 val_loss:0.531485 train_acc:1.000000 val_acc:0.937500 loss_gap:0.526708
|
| 137 |
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epoch:84 train_loss:0.003999 val_loss:0.459291 train_acc:1.000000 val_acc:0.937500 loss_gap:0.455292
|
| 138 |
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epoch:85 train_loss:0.005091 val_loss:0.496760 train_acc:1.000000 val_acc:0.937500 loss_gap:0.491669
|
| 139 |
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epoch:86 train_loss:0.004887 val_loss:0.392697 train_acc:1.000000 val_acc:0.937500 loss_gap:0.387809
|
| 140 |
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epoch:87 train_loss:0.006051 val_loss:0.468766 train_acc:1.000000 val_acc:0.937500 loss_gap:0.462715
|
| 141 |
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epoch:88 train_loss:0.009142 val_loss:0.527172 train_acc:1.000000 val_acc:0.937500 loss_gap:0.518031
|
| 142 |
+
epoch:89 train_loss:0.005639 val_loss:0.358909 train_acc:1.000000 val_acc:0.937500 loss_gap:0.353269
|
| 143 |
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epoch:90 train_loss:0.007575 val_loss:0.457682 train_acc:1.000000 val_acc:0.937500 loss_gap:0.450107
|
| 144 |
+
epoch:91 train_loss:0.005348 val_loss:0.396551 train_acc:1.000000 val_acc:0.937500 loss_gap:0.391203
|
| 145 |
+
epoch:92 train_loss:0.005922 val_loss:0.451448 train_acc:1.000000 val_acc:0.937500 loss_gap:0.445525
|
| 146 |
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epoch:93 train_loss:0.004566 val_loss:0.428253 train_acc:1.000000 val_acc:0.937500 loss_gap:0.423687
|
| 147 |
+
epoch:94 train_loss:0.006899 val_loss:0.384520 train_acc:1.000000 val_acc:0.937500 loss_gap:0.377621
|
| 148 |
+
epoch:95 train_loss:0.005243 val_loss:0.471161 train_acc:1.000000 val_acc:0.937500 loss_gap:0.465918
|
| 149 |
+
epoch:96 train_loss:0.006054 val_loss:0.575518 train_acc:1.000000 val_acc:0.937500 loss_gap:0.569464
|
| 150 |
+
epoch:97 train_loss:0.008283 val_loss:0.499242 train_acc:1.000000 val_acc:0.937500 loss_gap:0.490959
|
| 151 |
+
epoch:98 train_loss:0.006188 val_loss:0.448728 train_acc:1.000000 val_acc:0.937500 loss_gap:0.442539
|
| 152 |
+
epoch:99 train_loss:0.006260 val_loss:0.454590 train_acc:1.000000 val_acc:0.937500 loss_gap:0.448330
|
| 153 |
+
epoch:100 train_loss:0.006236 val_loss:0.474855 train_acc:1.000000 val_acc:0.937500 loss_gap:0.468619
|
| 154 |
+
epoch:101 train_loss:0.006756 val_loss:0.483845 train_acc:1.000000 val_acc:0.937500 loss_gap:0.477089
|
| 155 |
+
epoch:102 train_loss:0.003426 val_loss:0.333687 train_acc:1.000000 val_acc:0.937500 loss_gap:0.330261
|
| 156 |
+
epoch:103 train_loss:0.008670 val_loss:0.454216 train_acc:1.000000 val_acc:0.937500 loss_gap:0.445546
|
| 157 |
+
epoch:104 train_loss:0.008218 val_loss:0.502664 train_acc:1.000000 val_acc:0.937500 loss_gap:0.494446
|
| 158 |
+
epoch:105 train_loss:0.004529 val_loss:0.425412 train_acc:1.000000 val_acc:0.937500 loss_gap:0.420883
|
| 159 |
+
epoch:106 train_loss:0.004305 val_loss:0.463639 train_acc:1.000000 val_acc:0.937500 loss_gap:0.459334
|
| 160 |
+
epoch:107 train_loss:0.008557 val_loss:0.484157 train_acc:1.000000 val_acc:0.937500 loss_gap:0.475600
|
| 161 |
+
epoch:108 train_loss:0.005541 val_loss:0.439746 train_acc:1.000000 val_acc:0.937500 loss_gap:0.434206
|
| 162 |
+
epoch:109 train_loss:0.004650 val_loss:0.457183 train_acc:1.000000 val_acc:0.937500 loss_gap:0.452533
|
| 163 |
+
epoch:110 train_loss:0.004896 val_loss:0.474622 train_acc:1.000000 val_acc:0.937500 loss_gap:0.469726
|
| 164 |
+
epoch:111 train_loss:0.007380 val_loss:0.437545 train_acc:1.000000 val_acc:0.937500 loss_gap:0.430165
|
| 165 |
+
epoch:112 train_loss:0.009632 val_loss:0.459328 train_acc:1.000000 val_acc:0.937500 loss_gap:0.449696
|
| 166 |
+
epoch:113 train_loss:0.005024 val_loss:0.432268 train_acc:1.000000 val_acc:0.937500 loss_gap:0.427244
|
| 167 |
+
epoch:114 train_loss:0.003733 val_loss:0.443250 train_acc:1.000000 val_acc:0.937500 loss_gap:0.439517
|
| 168 |
+
epoch:115 train_loss:0.006447 val_loss:0.583492 train_acc:1.000000 val_acc:0.937500 loss_gap:0.577045
|
| 169 |
+
epoch:116 train_loss:0.007142 val_loss:0.422248 train_acc:1.000000 val_acc:0.937500 loss_gap:0.415105
|
| 170 |
+
epoch:117 train_loss:0.010889 val_loss:0.344358 train_acc:1.000000 val_acc:0.937500 loss_gap:0.333470
|
| 171 |
+
epoch:118 train_loss:0.005476 val_loss:0.540533 train_acc:1.000000 val_acc:0.937500 loss_gap:0.535057
|
| 172 |
+
epoch:119 train_loss:0.004625 val_loss:0.437196 train_acc:1.000000 val_acc:0.937500 loss_gap:0.432571
|
| 173 |
+
epoch:120 train_loss:0.004676 val_loss:0.356524 train_acc:1.000000 val_acc:0.937500 loss_gap:0.351848
|
| 174 |
+
epoch:121 train_loss:0.005173 val_loss:0.412926 train_acc:1.000000 val_acc:0.937500 loss_gap:0.407752
|
| 175 |
+
epoch:122 train_loss:0.009819 val_loss:0.470869 train_acc:1.000000 val_acc:0.937500 loss_gap:0.461050
|
| 176 |
+
epoch:123 train_loss:0.005020 val_loss:0.523628 train_acc:1.000000 val_acc:0.937500 loss_gap:0.518608
|
| 177 |
+
epoch:124 train_loss:0.004762 val_loss:0.404256 train_acc:1.000000 val_acc:0.937500 loss_gap:0.399493
|
| 178 |
+
epoch:125 train_loss:0.007280 val_loss:0.475642 train_acc:1.000000 val_acc:0.937500 loss_gap:0.468362
|
| 179 |
+
epoch:126 train_loss:0.005919 val_loss:0.499964 train_acc:1.000000 val_acc:0.937500 loss_gap:0.494045
|
| 180 |
+
epoch:127 train_loss:0.010167 val_loss:0.470074 train_acc:1.000000 val_acc:0.937500 loss_gap:0.459907
|
| 181 |
+
epoch:128 train_loss:0.002908 val_loss:0.400390 train_acc:1.000000 val_acc:0.937500 loss_gap:0.397482
|
| 182 |
+
epoch:129 train_loss:0.005597 val_loss:0.467122 train_acc:1.000000 val_acc:0.937500 loss_gap:0.461526
|
| 183 |
+
epoch:130 train_loss:0.011498 val_loss:0.480320 train_acc:1.000000 val_acc:0.937500 loss_gap:0.468822
|
| 184 |
+
epoch:131 train_loss:0.010401 val_loss:0.418741 train_acc:1.000000 val_acc:0.937500 loss_gap:0.408339
|
| 185 |
+
epoch:132 train_loss:0.008692 val_loss:0.417393 train_acc:1.000000 val_acc:0.937500 loss_gap:0.408701
|
| 186 |
+
epoch:133 train_loss:0.006511 val_loss:0.554442 train_acc:1.000000 val_acc:0.937500 loss_gap:0.547931
|
| 187 |
+
epoch:134 train_loss:0.005796 val_loss:0.402371 train_acc:1.000000 val_acc:0.937500 loss_gap:0.396575
|
| 188 |
+
epoch:135 train_loss:0.005579 val_loss:0.490026 train_acc:1.000000 val_acc:0.937500 loss_gap:0.484447
|
| 189 |
+
epoch:136 train_loss:0.004669 val_loss:0.357146 train_acc:1.000000 val_acc:0.937500 loss_gap:0.352476
|
| 190 |
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epoch:137 train_loss:0.004730 val_loss:0.417946 train_acc:1.000000 val_acc:0.937500 loss_gap:0.413216
|
| 191 |
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epoch:138 train_loss:0.005270 val_loss:0.424515 train_acc:1.000000 val_acc:0.937500 loss_gap:0.419244
|
| 192 |
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epoch:139 train_loss:0.008730 val_loss:0.545748 train_acc:1.000000 val_acc:0.937500 loss_gap:0.537019
|
| 193 |
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epoch:140 train_loss:0.006147 val_loss:0.372349 train_acc:1.000000 val_acc:0.937500 loss_gap:0.366201
|
| 194 |
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|
| 195 |
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|
| 196 |
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epoch:143 train_loss:0.007563 val_loss:0.445619 train_acc:1.000000 val_acc:0.937500 loss_gap:0.438056
|
| 197 |
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|
| 198 |
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|
| 199 |
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| 200 |
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epoch:147 train_loss:0.005647 val_loss:0.432439 train_acc:1.000000 val_acc:0.937500 loss_gap:0.426793
|
| 201 |
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|
| 202 |
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|