| epoch:0 | train loss: 1.073054 | val_loss:0.448881 |
| epoch:1 | train loss: 0.392142 | val_loss:0.399242 |
| epoch:2 | train loss: 0.371812 | val_loss:0.393474 |
| epoch:3 | train loss: 0.364254 | val_loss:0.362560 |
| epoch:4 | train loss: 0.352752 | val_loss:0.360939 |
| epoch:5 | train loss: 0.344565 | val_loss:0.354360 |
| epoch:6 | train loss: 0.350875 | val_loss:0.361243 |
| epoch:7 | train loss: 0.352274 | val_loss:0.371514 |
| epoch:8 | train loss: 0.344127 | val_loss:0.358672 |
| epoch:9 | train loss: 0.349167 | val_loss:0.367300 |
| epoch:10 | train loss: 0.352776 | val_loss:0.352947 |
| epoch:11 | train loss: 0.335472 | val_loss:0.331375 |
| epoch:12 | train loss: 0.343942 | val_loss:0.334605 |
| epoch:13 | train loss: 0.343223 | val_loss:0.339721 |
| epoch:14 | train loss: 0.349869 | val_loss:0.343825 |
| epoch:15 | train loss: 0.340668 | val_loss:0.368064 |
| epoch:16 | train loss: 0.340238 | val_loss:0.333418 |
| epoch:17 | train loss: 0.337068 | val_loss:0.351729 |
| epoch:18 | train loss: 0.335290 | val_loss:0.344091 |
| epoch:19 | train loss: 0.334789 | val_loss:0.341503 |
| epoch:20 | train loss: 0.334464 | val_loss:0.325687 |
| epoch:21 | train loss: 0.335943 | val_loss:0.361797 |
| epoch:22 | train loss: 0.339517 | val_loss:0.332155 |
| epoch:23 | train loss: 0.341780 | val_loss:0.331304 |
| epoch:24 | train loss: 0.334156 | val_loss:0.349537 |
| epoch:25 | train loss: 0.330287 | val_loss:0.364653 |
| epoch:26 | train loss: 0.332846 | val_loss:0.339057 |
| epoch:27 | train loss: 0.332295 | val_loss:0.321392 |
| epoch:28 | train loss: 0.333034 | val_loss:0.354801 |
| epoch:29 | train loss: 0.331266 | val_loss:0.317701 |
| epoch:30 | train loss: 0.327727 | val_loss:0.342245 |
| epoch:31 | train loss: 0.332134 | val_loss:0.327597 |
| epoch:32 | train loss: 0.331454 | val_loss:0.326563 |
| epoch:33 | train loss: 0.330054 | val_loss:0.354220 |
| epoch:34 | train loss: 0.324462 | val_loss:0.343378 |
| epoch:35 | train loss: 0.324621 | val_loss:0.345286 |
| epoch:36 | train loss: 0.334203 | val_loss:0.342462 |
| epoch:37 | train loss: 0.327539 | val_loss:0.358694 |
| epoch:38 | train loss: 0.321556 | val_loss:0.324425 |
| epoch:39 | train loss: 0.331440 | val_loss:0.350155 |
| epoch:40 | train loss: 0.331008 | val_loss:0.323026 |
| epoch:41 | train loss: 0.323040 | val_loss:0.341967 |
| epoch:42 | train loss: 0.331457 | val_loss:0.338760 |
| epoch:43 | train loss: 0.328189 | val_loss:0.299116 |
| epoch:44 | train loss: 0.327271 | val_loss:0.324182 |
| epoch:45 | train loss: 0.329574 | val_loss:0.346043 |
| epoch:46 | train loss: 0.324141 | val_loss:0.339695 |
| epoch:47 | train loss: 0.323906 | val_loss:0.315213 |
| epoch:48 | train loss: 0.326004 | val_loss:0.321068 |
| epoch:49 | train loss: 0.330170 | val_loss:0.340295 |
| epoch:50 | train loss: 0.323923 | val_loss:0.346544 |
| epoch:51 | train loss: 0.323688 | val_loss:0.323158 |
| epoch:52 | train loss: 0.320939 | val_loss:0.335598 |
| epoch:53 | train loss: 0.324971 | val_loss:0.320254 |
| epoch:54 | train loss: 0.324322 | val_loss:0.318116 |
| epoch:55 | train loss: 0.326934 | val_loss:0.340950 |
| epoch:56 | train loss: 0.332194 | val_loss:0.318135 |
| epoch:57 | train loss: 0.330842 | val_loss:0.331674 |
| epoch:58 | train loss: 0.320318 | val_loss:0.346970 |
| epoch:59 | train loss: 0.321317 | val_loss:0.331585 |
| epoch:60 | train loss: 0.326308 | val_loss:0.318040 |
| epoch:61 | train loss: 0.329040 | val_loss:0.352028 |
| epoch:62 | train loss: 0.321624 | val_loss:0.322742 |
| epoch:63 | train loss: 0.323653 | val_loss:0.340203 |
| epoch:64 | train loss: 0.325442 | val_loss:0.309693 |
| epoch:65 | train loss: 0.323624 | val_loss:0.312635 |
| epoch:66 | train loss: 0.323590 | val_loss:0.336408 |
| epoch:67 | train loss: 0.323091 | val_loss:0.341411 |
| epoch:68 | train loss: 0.318839 | val_loss:0.314142 |
| epoch:69 | train loss: 0.320680 | val_loss:0.341929 |
| epoch:70 | train loss: 0.315692 | val_loss:0.317456 |
| epoch:71 | train loss: 0.320392 | val_loss:0.312622 |
| epoch:72 | train loss: 0.321413 | val_loss:0.319088 |
| epoch:73 | train loss: 0.316485 | val_loss:0.320342 |
| epoch:74 | train loss: 0.324155 | val_loss:0.325238 |
| epoch:75 | train loss: 0.329432 | val_loss:0.328651 |
| epoch:76 | train loss: 0.316084 | val_loss:0.336202 |
| epoch:77 | train loss: 0.321973 | val_loss:0.339271 |
| epoch:78 | train loss: 0.315672 | val_loss:0.324327 |
| epoch:79 | train loss: 0.320968 | val_loss:0.319495 |
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