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| 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 |
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| epoch:110 | train loss: 0.237602| val loss:0.223487 |
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| epoch:115 | train loss: 0.234688| val loss:0.222226 |
| epoch:116 | train loss: 0.235818| val loss:0.223312 |
| epoch:117 | train loss: 0.234624| val loss:0.221088 |
| epoch:118 | train loss: 0.233215| val loss:0.214469 |
| epoch:119 | train loss: 0.233959| val loss:0.214379 |
| epoch:120 | train loss: 0.235038| val loss:0.210937 |
| epoch:121 | train loss: 0.235481| val loss:0.220183 |
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| epoch:124 | train loss: 0.234130| val loss:0.222543 |
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| epoch:126 | train loss: 0.234134| val loss:0.224092 |
| epoch:127 | train loss: 0.233606| val loss:0.219488 |
| epoch:128 | train loss: 0.234023| val loss:0.222463 |
| epoch:129 | train loss: 0.234523| val loss:0.215116 |
| epoch:130 | train loss: 0.232398| val loss:0.224712 |
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| epoch:140 | train loss: 0.233381| val loss:0.212136 |
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