checkpoints/train_logs.txt

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
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epoch:35 | train loss: 0.270010| val loss:0.254147
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epoch:115 | train loss: 0.234688| val loss:0.222226
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epoch:120 | train loss: 0.235038| val loss:0.210937
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epoch:122 | train loss: 0.233267| val loss:0.220654
epoch:123 | train loss: 0.236573| val loss:0.216056
epoch:124 | train loss: 0.234130| val loss:0.222543
epoch:125 | train loss: 0.233813| val loss:0.229511
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:132 | train loss: 0.232878| val loss:0.224484
epoch:133 | train loss: 0.232601| val loss:0.210846
epoch:134 | train loss: 0.231321| val loss:0.217411
epoch:135 | train loss: 0.232594| val loss:0.214662
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epoch:148 | train loss: 0.228898| val loss:0.221582
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epoch:150 | train loss: 0.229950| val loss:0.224043
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epoch:152 | train loss: 0.229861| val loss:0.220090
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epoch:156 | train loss: 0.228570| val loss:0.219783
epoch:157 | train loss: 0.229660| val loss:0.217678
epoch:158 | train loss: 0.230630| val loss:0.216407
epoch:159 | train loss: 0.228266| val loss:0.218058
epoch:160 | train loss: 0.228382| val loss:0.206792
epoch:161 | train loss: 0.227711| val loss:0.211880
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epoch:163 | train loss: 0.226196| val loss:0.213239
epoch:164 | train loss: 0.229976| val loss:0.216048
epoch:165 | train loss: 0.227958| val loss:0.219688
epoch:166 | train loss: 0.227917| val loss:0.220629
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epoch:170 | train loss: 0.226931| val loss:0.215358
epoch:171 | train loss: 0.227558| val loss:0.213439
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epoch:173 | train loss: 0.228703| val loss:0.215015
epoch:174 | train loss: 0.225538| val loss:0.213956
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epoch:176 | train loss: 0.228749| val loss:0.210477
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epoch:179 | train loss: 0.226877| val loss:0.211681
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epoch:181 | train loss: 0.225280| val loss:0.218997
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epoch:226 | train loss: 0.225294| val loss:0.211879
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epoch:469 | train loss: 0.217733| val loss:0.201651
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epoch:485 | train loss: 0.216594| val loss:0.201329
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epoch:500 | train loss: 0.213538| val loss:0.211823
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epoch:510 | train loss: 0.213195| val loss:0.206415
epoch:511 | train loss: 0.212900| val loss:0.205462
epoch:512 | train loss: 0.212761| val loss:0.201716
epoch:513 | train loss: 0.214325| val loss:0.196519
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epoch:515 | train loss: 0.214558| val loss:0.201242
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epoch:521 | train loss: 0.214784| val loss:0.200816
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