| epoch:1 | train loss: 0.659353| val loss:0.355818 |
| epoch:2 | train loss: 0.379560| val loss:0.336601 |
| epoch:3 | train loss: 0.360014| val loss:0.337481 |
| epoch:4 | train loss: 0.353732| val loss:0.330916 |
| epoch:5 | train loss: 0.343498| val loss:0.318045 |
| epoch:6 | train loss: 0.342021| val loss:0.309289 |
| epoch:7 | train loss: 0.330073| val loss:0.315518 |
| epoch:8 | train loss: 0.328744| val loss:0.304951 |
| epoch:9 | train loss: 0.326979| val loss:0.302935 |
| epoch:10 | train loss: 0.327625| val loss:0.311880 |
| epoch:11 | train loss: 0.322385| val loss:0.318002 |
| epoch:12 | train loss: 0.322487| val loss:0.308603 |
| epoch:13 | train loss: 0.319543| val loss:0.313652 |
| epoch:14 | train loss: 0.314324| val loss:0.303604 |
| epoch:15 | train loss: 0.316477| val loss:0.308364 |
| epoch:16 | train loss: 0.312415| val loss:0.290300 |
| epoch:17 | train loss: 0.313030| val loss:0.296362 |
| epoch:18 | train loss: 0.302767| val loss:0.281411 |
| epoch:19 | train loss: 0.297996| val loss:0.276422 |
| epoch:20 | train loss: 0.292721| val loss:0.270597 |
| epoch:21 | train loss: 0.287772| val loss:0.276429 |
| epoch:22 | train loss: 0.287506| val loss:0.270554 |
| epoch:23 | train loss: 0.286993| val loss:0.273639 |
| epoch:24 | train loss: 0.285547| val loss:0.271218 |
| epoch:25 | train loss: 0.285892| val loss:0.277612 |
| epoch:26 | train loss: 0.286343| val loss:0.270284 |
| epoch:27 | train loss: 0.278807| val loss:0.265969 |
| epoch:28 | train loss: 0.278536| val loss:0.264193 |
| epoch:29 | train loss: 0.277754| val loss:0.267877 |
| epoch:30 | train loss: 0.278287| val loss:0.257871 |
| epoch:31 | train loss: 0.278076| val loss:0.261866 |
| epoch:32 | train loss: 0.277034| val loss:0.264333 |
| epoch:33 | train loss: 0.276749| val loss:0.256850 |
| epoch:34 | train loss: 0.273939| val loss:0.264236 |
| epoch:35 | train loss: 0.270010| val loss:0.254147 |
| epoch:36 | train loss: 0.270675| val loss:0.257376 |
| epoch:37 | train loss: 0.269905| val loss:0.249629 |
| epoch:38 | train loss: 0.268528| val loss:0.249117 |
| epoch:39 | train loss: 0.263994| val loss:0.253219 |
| epoch:40 | train loss: 0.263165| val loss:0.243530 |
| epoch:41 | train loss: 0.262179| val loss:0.246350 |
| epoch:42 | train loss: 0.259575| val loss:0.250404 |
| epoch:43 | train loss: 0.257380| val loss:0.244548 |
| epoch:44 | train loss: 0.258117| val loss:0.239700 |
| epoch:45 | train loss: 0.254222| val loss:0.239686 |
| epoch:46 | train loss: 0.255694| val loss:0.241587 |
| epoch:47 | train loss: 0.255297| val loss:0.234885 |
| epoch:48 | train loss: 0.253991| val loss:0.235712 |
| epoch:49 | train loss: 0.252947| val loss:0.240120 |
| epoch:50 | train loss: 0.251726| val loss:0.239394 |
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