Task 9609118
| Name | ParityModified-1638630297-30180-1-0_0 |
| Workunit | 7015570 |
| Created | 9 Dec 2021, 0:53:26 UTC |
| Sent | 15 Dec 2021, 2:28:22 UTC |
| Report deadline | 23 Dec 2021, 2:28:22 UTC |
| Received | 22 Jan 2022, 16:21:33 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 17511 |
| Run time | 58 min 49 sec |
| CPU time | 57 min 45 sec |
| Validate state | Task was reported too late to validate |
| Credit | 0.00 |
| Device peak FLOPS | 4,889.21 GFLOPS |
| Application version | Machine Learning Dataset Generator (GPU) v9.75 (cuda10200) windows_x86_64 |
| Peak working set size | 2.08 GB |
| Peak swap size | 4.32 GB |
| Peak disk usage | 1.54 GB |
Stderr output
<core_client_version>7.16.20</core_client_version> <![CDATA[ <stderr_txt> 38:47 main:574] : INFO : Epoch 1695 | loss: 0.0310212 | val_loss: 0.03118 | Time: 1601.25 ms [2021-12-14 22:38:49 main:574] : INFO : Epoch 1696 | loss: 0.0310129 | val_loss: 0.0311855 | Time: 1576.9 ms [2021-12-14 22:38:51 main:574] : INFO : Epoch 1697 | loss: 0.0310195 | val_loss: 0.0311877 | Time: 1491.02 ms [2021-12-14 22:38:52 main:574] : INFO : Epoch 1698 | loss: 0.0310277 | val_loss: 0.0311614 | Time: 1517.86 ms [2021-12-14 22:38:54 main:574] : INFO : Epoch 1699 | loss: 0.0310247 | val_loss: 0.031178 | Time: 1566.3 ms [2021-12-14 22:38:55 main:574] : INFO : Epoch 1700 | loss: 0.031027 | val_loss: 0.0311841 | Time: 1510.63 ms [2021-12-14 22:38:57 main:574] : INFO : Epoch 1701 | loss: 0.031022 | val_loss: 0.0311719 | Time: 1556.98 ms [2021-12-14 22:38:58 main:574] : INFO : Epoch 1702 | loss: 0.0310156 | val_loss: 0.0311694 | Time: 1630.05 ms [2021-12-14 22:39:00 main:574] : INFO : Epoch 1703 | loss: 0.0310186 | val_loss: 0.0311754 | Time: 1564.19 ms [2021-12-14 22:39:01 main:574] : INFO : Epoch 1704 | loss: 0.0310223 | val_loss: 0.0311862 | Time: 1427.66 ms [2021-12-14 22:39:03 main:574] : INFO : Epoch 1705 | loss: 0.0310171 | val_loss: 0.0311838 | Time: 1576.48 ms [2021-12-14 22:39:05 main:574] : INFO : Epoch 1706 | loss: 0.0310188 | val_loss: 0.0311667 | Time: 1511.51 ms [2021-12-14 22:39:06 main:574] : INFO : Epoch 1707 | loss: 0.0310215 | val_loss: 0.0311934 | Time: 1506.88 ms [2021-12-14 22:39:08 main:574] : INFO : Epoch 1708 | loss: 0.0310336 | val_loss: 0.0311783 | Time: 1549.66 ms [2021-12-14 22:39:09 main:574] : INFO : Epoch 1709 | loss: 0.0310348 | val_loss: 0.0311752 | Time: 1550.15 ms [2021-12-14 22:39:11 main:574] : INFO : Epoch 1710 | loss: 0.0310189 | val_loss: 0.0311855 | Time: 1488.86 ms [2021-12-14 22:39:12 main:574] : INFO : Epoch 1711 | loss: 0.0310166 | val_loss: 0.0311617 | Time: 1549.56 ms [2021-12-14 22:39:14 main:574] : INFO : Epoch 1712 | loss: 0.0310186 | val_loss: 0.0311535 | Time: 1638.38 ms [2021-12-14 22:39:15 main:574] : INFO : Epoch 1713 | loss: 0.0310176 | val_loss: 0.0311836 | Time: 1520.04 ms [2021-12-14 22:39:17 main:574] : INFO : Epoch 1714 | loss: 0.0310143 | val_loss: 0.0311807 | Time: 1552 ms [2021-12-14 22:39:19 main:574] : INFO : Epoch 1715 | loss: 0.0310146 | val_loss: 0.0311569 | Time: 1578.19 ms [2021-12-14 22:39:20 main:574] : INFO : Epoch 1716 | loss: 0.0310162 | val_loss: 0.0311764 | Time: 1506.69 ms [2021-12-14 22:39:22 main:574] : INFO : Epoch 1717 | loss: 0.0310128 | val_loss: 0.0311885 | Time: 1523.48 ms [2021-12-14 22:39:23 main:574] : INFO : Epoch 1718 | loss: 0.031014 | val_loss: 0.0311668 | Time: 1610.03 ms [2021-12-14 22:39:25 main:574] : INFO : Epoch 1719 | loss: 0.0310232 | val_loss: 0.0311818 | Time: 1508.64 ms [2021-12-14 22:39:26 main:574] : INFO : Epoch 1720 | loss: 0.031019 | val_loss: 0.0311618 | Time: 1488.75 ms [2021-12-14 22:39:28 main:574] : INFO : Epoch 1721 | loss: 0.0310221 | val_loss: 0.0312082 | Time: 1627.95 ms [2021-12-14 22:39:29 main:574] : INFO : Epoch 1722 | loss: 0.0310148 | val_loss: 0.0311906 | Time: 1543.93 ms [2021-12-14 22:39:31 main:574] : INFO : Epoch 1723 | loss: 0.0310954 | val_loss: 0.0311407 | Time: 1472.41 ms [2021-12-14 22:39:32 main:574] : INFO : Epoch 1724 | loss: 0.0310959 | val_loss: 0.0311381 | Time: 1533.17 ms [2021-12-14 22:39:34 main:574] : INFO : Epoch 1725 | loss: 0.031079 | val_loss: 0.0311441 | Time: 1526.16 ms [2021-12-14 22:39:36 main:574] : INFO : Epoch 1726 | loss: 0.0310669 | val_loss: 0.0311358 | Time: 1571.12 ms [2021-12-14 22:39:37 main:574] : INFO : Epoch 1727 | loss: 0.0310536 | val_loss: 0.0311503 | Time: 1566.4 ms [2021-12-14 22:39:39 main:574] : INFO : Epoch 1728 | loss: 0.0310436 | val_loss: 0.0311618 | Time: 1548.39 ms [2021-12-14 22:39:40 main:574] : INFO : Epoch 1729 | loss: 0.0310329 | val_loss: 0.0311611 | Time: 1487.02 ms [2021-12-14 22:39:42 main:574] : INFO : Epoch 1730 | loss: 0.031026 | val_loss: 0.0311868 | Time: 1616.96 ms [2021-12-14 22:39:43 main:574] : INFO : Epoch 1731 | loss: 0.0310252 | val_loss: 0.0311741 | Time: 1648.59 ms [2021-12-14 22:39:45 main:574] : INFO : Epoch 1732 | loss: 0.0310223 | val_loss: 0.0311885 | Time: 1527.43 ms [2021-12-14 22:39:47 main:574] : INFO : Epoch 1733 | loss: 0.0310212 | val_loss: 0.0311805 | Time: 1598 ms [2021-12-14 22:39:48 main:574] : INFO : Epoch 1734 | loss: 0.031019 | val_loss: 0.0311647 | Time: 1569.83 ms [2021-12-14 22:39:50 main:574] : INFO : Epoch 1735 | loss: 0.0310158 | val_loss: 0.0311864 | Time: 1545 ms [2021-12-14 22:39:51 main:574] : INFO : Epoch 1736 | loss: 0.0310108 | val_loss: 0.0311844 | Time: 1585.56 ms [2021-12-14 22:39:53 main:574] : INFO : Epoch 1737 | loss: 0.0310105 | val_loss: 0.0311803 | Time: 1615.89 ms [2021-12-14 22:39:54 main:574] : INFO : Epoch 1738 | loss: 0.0310092 | val_loss: 0.0311865 | Time: 1537.27 ms [2021-12-14 22:39:56 main:574] : INFO : Epoch 1739 | loss: 0.0310069 | val_loss: 0.0312075 | Time: 1459.2 ms [2021-12-14 22:39:58 main:574] : INFO : Epoch 1740 | loss: 0.0310047 | val_loss: 0.0312032 | Time: 1701.3 ms [2021-12-14 22:39:59 main:574] : INFO : Epoch 1741 | loss: 0.0310098 | val_loss: 0.0311941 | Time: 1611.75 ms [2021-12-14 22:40:01 main:574] : INFO : Epoch 1742 | loss: 0.031027 | val_loss: 0.0311759 | Time: 1498.38 ms [2021-12-14 22:40:03 main:574] : INFO : Epoch 1743 | loss: 0.0310258 | val_loss: 0.0311636 | Time: 1719.48 ms [2021-12-14 22:40:04 main:574] : INFO : Epoch 1744 | loss: 0.0310194 | val_loss: 0.031184 | Time: 1542.62 ms Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: NVIDIA GeForce GTX 1660 Ti) [2021-12-24 14:53:49 main:435] : INFO : Set logging level to 1 [2021-12-24 14:53:49 main:441] : INFO : Running in BOINC Client mode [2021-12-24 14:53:49 main:444] : INFO : Resolving all filenames [2021-12-24 14:53:49 main:452] : INFO : Resolved: dataset.hdf5 => dataset.hdf5 (exists = 1) [2021-12-24 14:53:49 main:452] : INFO : Resolved: model.cfg => model.cfg (exists = 1) [2021-12-24 14:53:49 main:452] : INFO : Resolved: model-final.pt => model-final.pt (exists = 0) [2021-12-24 14:53:49 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 1) [2021-12-24 14:53:49 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1) [2021-12-24 14:53:49 main:472] : INFO : Dataset filename: dataset.hdf5 [2021-12-24 14:53:49 main:474] : INFO : Configuration: [2021-12-24 14:53:49 main:475] : INFO : Model type: GRU [2021-12-24 14:53:49 main:476] : INFO : Validation Loss Threshold: 0.0001 [2021-12-24 14:53:49 main:477] : INFO : Max Epochs: 2048 [2021-12-24 14:53:49 main:478] : INFO : Batch Size: 128 [2021-12-24 14:53:49 main:479] : INFO : Learning Rate: 0.01 [2021-12-24 14:53:49 main:480] : INFO : Patience: 10 [2021-12-24 14:53:49 main:481] : INFO : Hidden Width: 12 [2021-12-24 14:53:49 main:482] : INFO : # Recurrent Layers: 4 [2021-12-24 14:53:49 main:483] : INFO : # Backend Layers: 4 [2021-12-24 14:53:49 main:484] : INFO : # Threads: 1 [2021-12-24 14:53:49 main:486] : INFO : Preparing Dataset [2021-12-24 14:53:49 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from dataset.hdf5 into memory [2021-12-24 14:53:49 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from dataset.hdf5 into memory [2021-12-24 14:53:52 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2021-12-24 14:53:52 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from dataset.hdf5 into memory [2021-12-24 14:53:52 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from dataset.hdf5 into memory [2021-12-24 14:53:52 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2021-12-24 14:53:52 main:494] : INFO : Creating Model [2021-12-24 14:53:52 main:507] : INFO : Preparing config file [2021-12-24 14:53:52 main:511] : INFO : Found checkpoint, attempting to load... [2021-12-24 14:53:52 main:512] : INFO : Loading config [2021-12-24 14:53:52 main:514] : INFO : Loading state [2021-12-24 14:53:54 main:559] : INFO : Loading DataLoader into Memory [2021-12-24 14:53:54 main:562] : INFO : Starting Training [2021-12-24 14:53:56 main:574] : INFO : Epoch 1741 | loss: 0.0312033 | val_loss: 0.0311694 | Time: 2434.69 ms [2021-12-24 14:53:59 main:574] : INFO : Epoch 1742 | loss: 0.0310461 | val_loss: 0.0311688 | Time: 2441.49 ms [2021-12-24 14:54:01 main:574] : INFO : Epoch 1743 | loss: 0.031023 | val_loss: 0.0311837 | Time: 2391.67 ms [2021-12-24 14:54:04 main:574] : INFO : Epoch 1744 | loss: 0.0310125 | val_loss: 0.0311829 | Time: 3163.55 ms [2021-12-24 14:54:08 main:574] : INFO : Epoch 1745 | loss: 0.0310213 | val_loss: 0.0311631 | Time: 3457.57 ms [2021-12-24 14:54:11 main:574] : INFO : Epoch 1746 | loss: 0.0310254 | val_loss: 0.0311839 | Time: 2904.66 ms [2021-12-24 14:54:14 main:574] : INFO : Epoch 1747 | loss: 0.0310166 | val_loss: 0.0311671 | Time: 2772.86 ms [2021-12-24 14:54:16 main:574] : INFO : Epoch 1748 | loss: 0.0310346 | val_loss: 0.0311627 | Time: 2807.51 ms [2021-12-24 14:54:19 main:574] : INFO : Epoch 1749 | loss: 0.0310337 | val_loss: 0.0311661 | Time: 2800.38 ms [2021-12-24 14:54:22 main:574] : INFO : Epoch 1750 | loss: 0.0310154 | val_loss: 0.0311813 | Time: 3007.22 ms [2021-12-24 14:54:25 main:574] : INFO : Epoch 1751 | loss: 0.0310109 | val_loss: 0.0311786 | Time: 3133.45 ms [2021-12-24 14:54:28 main:574] : INFO : Epoch 1752 | loss: 0.0310109 | val_loss: 0.0311975 | Time: 3091.03 ms [2021-12-24 14:54:33 main:574] : INFO : Epoch 1753 | loss: 0.0310168 | val_loss: 0.0311729 | Time: 4617.77 ms [2021-12-24 14:54:38 main:574] : INFO : Epoch 1754 | loss: 0.0310236 | val_loss: 0.0311977 | Time: 4748.91 ms [2021-12-24 14:54:41 main:574] : INFO : Epoch 1755 | loss: 0.0310215 | val_loss: 0.031172 | Time: 3111.22 ms [2021-12-24 14:54:44 main:574] : INFO : Epoch 1756 | loss: 0.0310256 | val_loss: 0.031186 | Time: 3289.59 ms [2021-12-24 14:54:47 main:574] : INFO : Epoch 1757 | loss: 0.0310152 | val_loss: 0.0311678 | Time: 3173.67 ms [2021-12-24 14:54:50 main:574] : INFO : Epoch 1758 | loss: 0.0310102 | val_loss: 0.0312062 | Time: 2857.72 ms [2021-12-24 14:54:54 main:574] : INFO : Epoch 1759 | loss: 0.0310093 | val_loss: 0.0311906 | Time: 3269.31 ms Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: NVIDIA GeForce GTX 1660 Ti) [2021-12-24 15:44:03 main:435] : INFO : Set logging level to 1 [2021-12-24 15:44:03 main:441] : INFO : Running in BOINC Client mode [2021-12-24 15:44:03 main:444] : INFO : Resolving all filenames [2021-12-24 15:44:03 main:452] : INFO : Resolved: dataset.hdf5 => dataset.hdf5 (exists = 1) [2021-12-24 15:44:03 main:452] : INFO : Resolved: model.cfg => model.cfg (exists = 1) [2021-12-24 15:44:03 main:452] : INFO : Resolved: model-final.pt => model-final.pt (exists = 0) [2021-12-24 15:44:03 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 1) [2021-12-24 15:44:03 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1) [2021-12-24 15:44:03 main:472] : INFO : Dataset filename: dataset.hdf5 [2021-12-24 15:44:03 main:474] : INFO : Configuration: [2021-12-24 15:44:03 main:475] : INFO : Model type: GRU [2021-12-24 15:44:03 main:476] : INFO : Validation Loss Threshold: 0.0001 [2021-12-24 15:44:03 main:477] : INFO : Max Epochs: 2048 [2021-12-24 15:44:03 main:478] : INFO : Batch Size: 128 [2021-12-24 15:44:03 main:479] : INFO : Learning Rate: 0.01 [2021-12-24 15:44:03 main:480] : INFO : Patience: 10 [2021-12-24 15:44:03 main:481] : INFO : Hidden Width: 12 [2021-12-24 15:44:03 main:482] : INFO : # Recurrent Layers: 4 [2021-12-24 15:44:03 main:483] : INFO : # Backend Layers: 4 [2021-12-24 15:44:03 main:484] : INFO : # Threads: 1 [2021-12-24 15:44:03 main:486] : INFO : Preparing Dataset [2021-12-24 15:44:03 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from dataset.hdf5 into memory [2021-12-24 15:44:03 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from dataset.hdf5 into memory [2021-12-24 15:44:06 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2021-12-24 15:44:06 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from dataset.hdf5 into memory [2021-12-24 15:44:06 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from dataset.hdf5 into memory [2021-12-24 15:44:06 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2021-12-24 15:44:06 main:494] : INFO : Creating Model [2021-12-24 15:44:06 main:507] : INFO : Preparing config file [2021-12-24 15:44:06 main:511] : INFO : Found checkpoint, attempting to load... [2021-12-24 15:44:06 main:512] : INFO : Loading config [2021-12-24 15:44:06 main:514] : INFO : Loading state [2021-12-24 15:44:07 main:559] : INFO : Loading DataLoader into Memory [2021-12-24 15:44:07 main:562] : INFO : Starting Training [2021-12-24 15:44:08 main:574] : INFO : Epoch 1741 | loss: 0.0312073 | val_loss: 0.0311792 | Time: 1667.36 ms [2021-12-24 15:44:10 main:574] : INFO : Epoch 1742 | loss: 0.0310484 | val_loss: 0.0311731 | Time: 1486.33 ms [2021-12-24 15:44:11 main:574] : INFO : Epoch 1743 | loss: 0.0310269 | val_loss: 0.0311748 | Time: 1463.73 ms [2021-12-24 15:44:13 main:574] : INFO : Epoch 1744 | loss: 0.0310169 | val_loss: 0.0312015 | Time: 1430.64 ms [2021-12-24 15:44:14 main:574] : INFO : Epoch 1745 | loss: 0.0310151 | val_loss: 0.0311796 | Time: 1739.79 ms [2021-12-24 15:44:17 main:574] : INFO : Epoch 1746 | loss: 0.0310191 | val_loss: 0.0312082 | Time: 2179.49 ms [2021-12-24 15:44:19 main:574] : INFO : Epoch 1747 | loss: 0.0310118 | val_loss: 0.0312015 | Time: 2195.02 ms [2021-12-24 15:44:21 main:574] : INFO : Epoch 1748 | loss: 0.0310145 | val_loss: 0.0311687 | Time: 2395.11 ms [2021-12-24 15:44:24 main:574] : INFO : Epoch 1749 | loss: 0.0310209 | val_loss: 0.0311936 | Time: 2529.47 ms [2021-12-24 15:44:26 main:574] : INFO : Epoch 1750 | loss: 0.0310107 | val_loss: 0.0312148 | Time: 2308.06 ms [2021-12-24 15:44:28 main:574] : INFO : Epoch 1751 | loss: 0.0310135 | val_loss: 0.0311835 | Time: 2407.63 ms [2021-12-24 15:44:31 main:574] : INFO : Epoch 1752 | loss: 0.0310133 | val_loss: 0.0311965 | Time: 2312.41 ms [2021-12-24 15:44:33 main:574] : INFO : Epoch 1753 | loss: 0.0310171 | val_loss: 0.0311622 | Time: 2428.73 ms Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: NVIDIA GeForce GTX 1660 Ti) [2021-12-27 19:22:31 main:435] : INFO : Set logging level to 1 [2021-12-27 19:22:31 main:441] : INFO : Running in BOINC Client mode [2021-12-27 19:22:31 main:444] : INFO : Resolving all filenames [2021-12-27 19:22:31 main:452] : INFO : Resolved: dataset.hdf5 => dataset.hdf5 (exists = 1) [2021-12-27 19:22:31 main:452] : INFO : Resolved: model.cfg => model.cfg (exists = 1) [2021-12-27 19:22:31 main:452] : INFO : Resolved: model-final.pt => model-final.pt (exists = 0) [2021-12-27 19:22:31 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 1) [2021-12-27 19:22:31 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1) [2021-12-27 19:22:31 main:472] : INFO : Dataset filename: dataset.hdf5 [2021-12-27 19:22:31 main:474] : INFO : Configuration: [2021-12-27 19:22:31 main:475] : INFO : Model type: GRU [2021-12-27 19:22:31 main:476] : INFO : Validation Loss Threshold: 0.0001 [2021-12-27 19:22:31 main:477] : INFO : Max Epochs: 2048 [2021-12-27 19:22:31 main:478] : INFO : Batch Size: 128 [2021-12-27 19:22:31 main:479] : INFO : Learning Rate: 0.01 [2021-12-27 19:22:31 main:480] : INFO : Patience: 10 [2021-12-27 19:22:31 main:481] : INFO : Hidden Width: 12 [2021-12-27 19:22:31 main:482] : INFO : # Recurrent Layers: 4 [2021-12-27 19:22:31 main:483] : INFO : # Backend Layers: 4 [2021-12-27 19:22:31 main:484] : INFO : # Threads: 1 [2021-12-27 19:22:31 main:486] : INFO : Preparing Dataset [2021-12-27 19:22:31 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from dataset.hdf5 into memory [2021-12-27 19:22:31 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from dataset.hdf5 into memory [2021-12-27 19:22:33 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2021-12-27 19:22:33 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from dataset.hdf5 into memory [2021-12-27 19:22:33 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from dataset.hdf5 into memory [2021-12-27 19:22:33 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2021-12-27 19:22:33 main:494] : INFO : Creating Model [2021-12-27 19:22:33 main:507] : INFO : Preparing config file [2021-12-27 19:22:33 main:511] : INFO : Found checkpoint, attempting to load... [2021-12-27 19:22:33 main:512] : INFO : Loading config [2021-12-27 19:22:33 main:514] : INFO : Loading state [2021-12-27 19:22:35 main:559] : INFO : Loading DataLoader into Memory [2021-12-27 19:22:35 main:562] : INFO : Starting Training [2021-12-27 19:22:47 main:574] : INFO : Epoch 1741 | loss: 0.0311633 | val_loss: 0.0312051 | Time: 12425.9 ms [2021-12-27 19:22:49 main:574] : INFO : Epoch 1742 | loss: 0.0310429 | val_loss: 0.0311795 | Time: 1369.16 ms [2021-12-27 19:22:50 main:574] : INFO : Epoch 1743 | loss: 0.0310287 | val_loss: 0.0311897 | Time: 1366.6 ms [2021-12-27 19:22:51 main:574] : INFO : Epoch 1744 | loss: 0.0310264 | val_loss: 0.0311865 | Time: 1343.76 ms [2021-12-27 19:22:53 main:574] : INFO : Epoch 1745 | loss: 0.0310225 | val_loss: 0.0311752 | Time: 1664.11 ms [2021-12-27 19:22:55 main:574] : INFO : Epoch 1746 | loss: 0.0310151 | val_loss: 0.0311989 | Time: 2010.51 ms [2021-12-27 19:22:57 main:574] : INFO : Epoch 1747 | loss: 0.0310127 | val_loss: 0.0311829 | Time: 2019.95 ms [2021-12-27 19:22:59 main:574] : INFO : Epoch 1748 | loss: 0.0310163 | val_loss: 0.0311763 | Time: 2036.39 ms [2021-12-27 19:23:01 main:574] : INFO : Epoch 1749 | loss: 0.0310123 | val_loss: 0.0311846 | Time: 2140.62 ms [2021-12-27 19:23:03 main:574] : INFO : Epoch 1750 | loss: 0.0310168 | val_loss: 0.0311868 | Time: 2061.5 ms [2021-12-27 19:23:05 main:574] : INFO : Epoch 1751 | loss: 0.0310166 | val_loss: 0.0311737 | Time: 1914.73 ms [2021-12-27 19:23:07 main:574] : INFO : Epoch 1752 | loss: 0.0310118 | val_loss: 0.0311911 | Time: 2007.02 ms [2021-12-27 19:23:09 main:574] : INFO : Epoch 1753 | loss: 0.0310121 | val_loss: 0.0311925 | Time: 2116.11 ms [2021-12-27 19:23:11 main:574] : INFO : Epoch 1754 | loss: 0.0310105 | val_loss: 0.0311816 | Time: 1866.23 ms [2021-12-27 19:23:13 main:574] : INFO : Epoch 1755 | loss: 0.0310072 | val_loss: 0.0311763 | Time: 1945.25 ms [2021-12-27 19:23:15 main:574] : INFO : Epoch 1756 | loss: 0.0310071 | val_loss: 0.0311872 | Time: 2268.32 ms [2021-12-27 19:23:17 main:574] : INFO : Epoch 1757 | loss: 0.0310087 | val_loss: 0.0311997 | Time: 1956.02 ms [2021-12-27 19:23:19 main:574] : INFO : Epoch 1758 | loss: 0.0310167 | val_loss: 0.0311921 | Time: 1964.54 ms [2021-12-27 19:23:22 main:574] : INFO : Epoch 1759 | loss: 0.0310112 | val_loss: 0.0311965 | Time: 2222.92 ms [2021-12-27 19:23:24 main:574] : INFO : Epoch 1760 | loss: 0.0310061 | val_loss: 0.0311771 | Time: 2076.1 ms [2021-12-27 19:23:26 main:574] : INFO : Epoch 1761 | loss: 0.0310033 | val_loss: 0.031197 | Time: 2244.26 ms [2021-12-27 19:23:28 main:574] : INFO : Epoch 1762 | loss: 0.0310048 | val_loss: 0.0312046 | Time: 2510.93 ms [2021-12-27 19:23:31 main:574] : INFO : Epoch 1763 | loss: 0.0310109 | val_loss: 0.0311931 | Time: 2485.37 ms [2021-12-27 19:23:33 main:574] : INFO : Epoch 1764 | loss: 0.0310163 | val_loss: 0.0311826 | Time: 2034.24 ms [2021-12-27 19:23:35 main:574] : INFO : Epoch 1765 | loss: 0.0310123 | val_loss: 0.0311891 | Time: 2386.7 ms [2021-12-27 19:23:38 main:574] : INFO : Epoch 1766 | loss: 0.0310061 | val_loss: 0.0311683 | Time: 2416.77 ms [2021-12-27 19:23:40 main:574] : INFO : Epoch 1767 | loss: 0.0310115 | val_loss: 0.0311866 | Time: 2265.28 ms [2021-12-27 19:23:42 main:574] : INFO : Epoch 1768 | loss: 0.0310095 | val_loss: 0.0311782 | Time: 2331.55 ms [2021-12-27 19:23:45 main:574] : INFO : Epoch 1769 | loss: 0.031007 | val_loss: 0.0311852 | Time: 2107.82 ms [2021-12-27 19:23:47 main:574] : INFO : Epoch 1770 | loss: 0.0310044 | val_loss: 0.0311988 | Time: 1942.69 ms [2021-12-27 19:23:49 main:574] : INFO : Epoch 1771 | loss: 0.0310111 | val_loss: 0.0312108 | Time: 2243.59 ms [2021-12-27 19:23:51 main:574] : INFO : Epoch 1772 | loss: 0.0310098 | val_loss: 0.0311796 | Time: 1913.21 ms [2021-12-27 19:23:53 main:574] : INFO : Epoch 1773 | loss: 0.0310099 | val_loss: 0.0311923 | Time: 2120.75 ms [2021-12-27 19:23:55 main:574] : INFO : Epoch 1774 | loss: 0.0310055 | val_loss: 0.0311762 | Time: 2230.5 ms [2021-12-27 19:23:57 main:574] : INFO : Epoch 1775 | loss: 0.0310095 | val_loss: 0.0311822 | Time: 1966.11 ms [2021-12-27 19:23:59 main:574] : INFO : Epoch 1776 | loss: 0.031004 | val_loss: 0.0311679 | Time: 2231.37 ms [2021-12-27 19:24:01 main:574] : INFO : Epoch 1777 | loss: 0.0310163 | val_loss: 0.0311702 | Time: 2134.35 ms [2021-12-27 19:24:03 main:574] : INFO : Epoch 1778 | loss: 0.0310226 | val_loss: 0.0311771 | Time: 1939.64 ms [2021-12-27 19:24:05 main:574] : INFO : Epoch 1779 | loss: 0.0310095 | val_loss: 0.031169 | Time: 2130.56 ms [2021-12-27 19:24:08 main:574] : INFO : Epoch 1780 | loss: 0.0310085 | val_loss: 0.031164 | Time: 2206.58 ms [2021-12-27 19:24:10 main:574] : INFO : Epoch 1781 | loss: 0.031022 | val_loss: 0.031174 | Time: 1974.04 ms [2021-12-27 19:24:12 main:574] : INFO : Epoch 1782 | loss: 0.0310192 | val_loss: 0.0311768 | Time: 2059.29 ms [2021-12-27 19:24:14 main:574] : INFO : Epoch 1783 | loss: 0.0310124 | val_loss: 0.0311786 | Time: 2228.26 ms [2021-12-27 19:24:16 main:574] : INFO : Epoch 1784 | loss: 0.0310124 | val_loss: 0.0311607 | Time: 1988.81 ms [2021-12-27 19:24:18 main:574] : INFO : Epoch 1785 | loss: 0.0310071 | val_loss: 0.031173 | Time: 2089.47 ms [2021-12-27 19:24:20 main:574] : INFO : Epoch 1786 | loss: 0.0310059 | val_loss: 0.0311795 | Time: 2178.25 ms [2021-12-27 19:24:22 main:574] : INFO : Epoch 1787 | loss: 0.0310108 | val_loss: 0.0311818 | Time: 2015.85 ms [2021-12-27 19:24:24 main:574] : INFO : Epoch 1788 | loss: 0.0310076 | val_loss: 0.0311594 | Time: 2009.91 ms [2021-12-27 19:24:26 main:574] : INFO : Epoch 1789 | loss: 0.0310124 | val_loss: 0.0311729 | Time: 2118.68 ms [2021-12-27 19:24:29 main:574] : INFO : Epoch 1790 | loss: 0.0310118 | val_loss: 0.0311892 | Time: 2197.5 ms [2021-12-27 19:24:31 main:574] : INFO : Epoch 1791 | loss: 0.0310068 | val_loss: 0.0311869 | Time: 2185.84 ms [2021-12-27 19:24:33 main:574] : INFO : Epoch 1792 | loss: 0.0310109 | val_loss: 0.0311809 | Time: 2113.16 ms [2021-12-27 19:24:35 main:574] : INFO : Epoch 1793 | loss: 0.031009 | val_loss: 0.031163 | Time: 2028.26 ms [2021-12-27 19:24:37 main:574] : INFO : Epoch 1794 | loss: 0.0310138 | val_loss: 0.0311759 | Time: 2152.73 ms [2021-12-27 19:24:39 main:574] : INFO : Epoch 1795 | loss: 0.031019 | val_loss: 0.0311839 | Time: 2114.49 ms [2021-12-27 19:24:41 main:574] : INFO : Epoch 1796 | loss: 0.0310188 | val_loss: 0.0311835 | Time: 1933.79 ms [2021-12-27 19:24:43 main:574] : INFO : Epoch 1797 | loss: 0.0310078 | val_loss: 0.0311771 | Time: 2257.05 ms [2021-12-27 19:24:46 main:574] : INFO : Epoch 1798 | loss: 0.0310042 | val_loss: 0.0311788 | Time: 2324.87 ms [2021-12-27 19:24:48 main:574] : INFO : Epoch 1799 | loss: 0.0310159 | val_loss: 0.031181 | Time: 1997.42 ms [2021-12-27 19:24:50 main:574] : INFO : Epoch 1800 | loss: 0.0310155 | val_loss: 0.0311933 | Time: 2269.22 ms [2021-12-27 19:24:52 main:574] : INFO : Epoch 1801 | loss: 0.031008 | val_loss: 0.0311741 | Time: 2053.53 ms [2021-12-27 19:24:54 main:574] : INFO : Epoch 1802 | loss: 0.0310074 | val_loss: 0.0311801 | Time: 1961.48 ms [2021-12-27 19:24:56 main:574] : INFO : Epoch 1803 | loss: 0.0310028 | val_loss: 0.0311998 | Time: 2318.93 ms [2021-12-27 19:24:59 main:574] : INFO : Epoch 1804 | loss: 0.0309992 | val_loss: 0.0312157 | Time: 2045.88 ms [2021-12-27 19:25:01 main:574] : INFO : Epoch 1805 | loss: 0.0310037 | val_loss: 0.0312008 | Time: 2157.3 ms [2021-12-27 19:25:03 main:574] : INFO : Epoch 1806 | loss: 0.0310033 | val_loss: 0.0311914 | Time: 2202.75 ms [2021-12-27 19:25:05 main:574] : INFO : Epoch 1807 | loss: 0.0309946 | val_loss: 0.0311949 | Time: 2048.06 ms [2021-12-27 19:25:07 main:574] : INFO : Epoch 1808 | loss: 0.0309985 | val_loss: 0.0311926 | Time: 2049.33 ms [2021-12-27 19:25:09 main:574] : INFO : Epoch 1809 | loss: 0.0310057 | val_loss: 0.0311823 | Time: 2143.86 ms [2021-12-27 19:25:11 main:574] : INFO : Epoch 1810 | loss: 0.0310113 | val_loss: 0.0311759 | Time: 2131.54 ms [2021-12-27 19:25:13 main:574] : INFO : Epoch 1811 | loss: 0.0310135 | val_loss: 0.0311807 | Time: 1966.72 ms [2021-12-27 19:25:15 main:574] : INFO : Epoch 1812 | loss: 0.0310083 | val_loss: 0.0311886 | Time: 2180.51 ms [2021-12-27 19:25:18 main:574] : INFO : Epoch 1813 | loss: 0.0310041 | val_loss: 0.0312093 | Time: 2052.45 ms [2021-12-27 19:25:20 main:574] : INFO : Epoch 1814 | loss: 0.0310032 | val_loss: 0.0312149 | Time: 2192.37 ms [2021-12-27 19:25:22 main:574] : INFO : Epoch 1815 | loss: 0.0309998 | val_loss: 0.0312048 | Time: 2120.76 ms [2021-12-27 19:25:24 main:574] : INFO : Epoch 1816 | loss: 0.031001 | val_loss: 0.031189 | Time: 2003.82 ms [2021-12-27 19:25:26 main:574] : INFO : Epoch 1817 | loss: 0.0310002 | val_loss: 0.0311936 | Time: 2255.85 ms [2021-12-27 19:25:28 main:574] : INFO : Epoch 1818 | loss: 0.0309973 | val_loss: 0.0311767 | Time: 2152.89 ms [2021-12-27 19:25:30 main:574] : INFO : Epoch 1819 | loss: 0.0310032 | val_loss: 0.0311961 | Time: 2044.85 ms [2021-12-27 19:25:32 main:574] : INFO : Epoch 1820 | loss: 0.0309973 | val_loss: 0.0311911 | Time: 2063.29 ms [2021-12-27 19:25:35 main:574] : INFO : Epoch 1821 | loss: 0.031 | val_loss: 0.0311926 | Time: 2236.88 ms [2021-12-27 19:25:37 main:574] : INFO : Epoch 1822 | loss: 0.0309963 | val_loss: 0.0311846 | Time: 1949.61 ms [2021-12-27 19:25:39 main:574] : INFO : Epoch 1823 | loss: 0.0309967 | val_loss: 0.0311932 | Time: 2186.04 ms [2021-12-27 19:25:41 main:574] : INFO : Epoch 1824 | loss: 0.0309979 | val_loss: 0.0311865 | Time: 2222.64 ms [2021-12-27 19:25:43 main:574] : INFO : Epoch 1825 | loss: 0.030998 | val_loss: 0.0312028 | Time: 1986.49 ms [2021-12-27 19:25:45 main:574] : INFO : Epoch 1826 | loss: 0.0310026 | val_loss: 0.0312058 | Time: 2089.19 ms [2021-12-27 19:25:47 main:574] : INFO : Epoch 1827 | loss: 0.0310158 | val_loss: 0.0311725 | Time: 2196.7 ms [2021-12-27 19:25:49 main:574] : INFO : Epoch 1828 | loss: 0.0310134 | val_loss: 0.0311882 | Time: 2026.51 ms [2021-12-27 19:25:52 main:574] : INFO : Epoch 1829 | loss: 0.0310112 | val_loss: 0.0311827 | Time: 2189.71 ms [2021-12-27 19:25:54 main:574] : INFO : Epoch 1830 | loss: 0.0310048 | val_loss: 0.0311821 | Time: 2068.75 ms [2021-12-27 19:25:56 main:574] : INFO : Epoch 1831 | loss: 0.0309986 | val_loss: 0.0311964 | Time: 2148.21 ms [2021-12-27 19:25:58 main:574] : INFO : Epoch 1832 | loss: 0.030999 | val_loss: 0.0311756 | Time: 2133.46 ms [2021-12-27 19:26:00 main:574] : INFO : Epoch 1833 | loss: 0.0309946 | val_loss: 0.0311936 | Time: 2037.06 ms [2021-12-27 19:26:02 main:574] : INFO : Epoch 1834 | loss: 0.0309992 | val_loss: 0.0311979 | Time: 2064.04 ms [2021-12-27 19:26:04 main:574] : INFO : Epoch 1835 | loss: 0.0309971 | val_loss: 0.0311945 | Time: 2191.14 ms [2021-12-27 19:26:06 main:574] : INFO : Epoch 1836 | loss: 0.0309963 | val_loss: 0.0312079 | Time: 2027.13 ms [2021-12-27 19:26:08 main:574] : INFO : Epoch 1837 | loss: 0.0309938 | val_loss: 0.0311914 | Time: 2049.92 ms [2021-12-27 19:26:11 main:574] : INFO : Epoch 1838 | loss: 0.0309954 | val_loss: 0.0311989 | Time: 2241.65 ms [2021-12-27 19:26:13 main:574] : INFO : Epoch 1839 | loss: 0.031002 | val_loss: 0.031205 | Time: 2140.3 ms [2021-12-27 19:26:15 main:574] : INFO : Epoch 1840 | loss: 0.0310038 | val_loss: 0.031191 | Time: 2098.1 ms [2021-12-27 19:26:17 main:574] : INFO : Epoch 1841 | loss: 0.0310043 | val_loss: 0.0311691 | Time: 2166.77 ms [2021-12-27 19:26:19 main:574] : INFO : Epoch 1842 | loss: 0.0310057 | val_loss: 0.0311693 | Time: 2104.58 ms [2021-12-27 19:26:21 main:574] : INFO : Epoch 1843 | loss: 0.0310086 | val_loss: 0.0311796 | Time: 2134.1 ms [2021-12-27 19:26:24 main:574] : INFO : Epoch 1844 | loss: 0.0310057 | val_loss: 0.0311852 | Time: 2146.74 ms [2021-12-27 19:26:26 main:574] : INFO : Epoch 1845 | loss: 0.0309974 | val_loss: 0.0311909 | Time: 2011.24 ms [2021-12-27 19:26:28 main:574] : INFO : Epoch 1846 | loss: 0.0309926 | val_loss: 0.0311917 | Time: 2048.84 ms [2021-12-27 19:26:30 main:574] : INFO : Epoch 1847 | loss: 0.031 | val_loss: 0.0311988 | Time: 2215.26 ms [2021-12-27 19:26:32 main:574] : INFO : Epoch 1848 | loss: 0.0310113 | val_loss: 0.0311794 | Time: 2176.72 ms [2021-12-27 19:26:34 main:574] : INFO : Epoch 1849 | loss: 0.0310187 | val_loss: 0.0311905 | Time: 2039.01 ms [2021-12-27 19:26:36 main:574] : INFO : Epoch 1850 | loss: 0.0310103 | val_loss: 0.031166 | Time: 2128.56 ms [2021-12-27 19:26:38 main:574] : INFO : Epoch 1851 | loss: 0.031004 | val_loss: 0.0311772 | Time: 2004.55 ms [2021-12-27 19:26:40 main:574] : INFO : Epoch 1852 | loss: 0.0310111 | val_loss: 0.0311895 | Time: 2088.81 ms [2021-12-27 19:26:43 main:574] : INFO : Epoch 1853 | loss: 0.0310013 | val_loss: 0.0312058 | Time: 2185.8 ms [2021-12-27 19:26:45 main:574] : INFO : Epoch 1854 | loss: 0.0309967 | val_loss: 0.0311844 | Time: 2047.19 ms [2021-12-27 19:26:47 main:574] : INFO : Epoch 1855 | loss: 0.0309964 | val_loss: 0.0311995 | Time: 2277.33 ms [2021-12-27 19:26:49 main:574] : INFO : Epoch 1856 | loss: 0.0310002 | val_loss: 0.0311946 | Time: 2135.85 ms [2021-12-27 19:26:51 main:574] : INFO : Epoch 1857 | loss: 0.0310055 | val_loss: 0.0311678 | Time: 1962.07 ms [2021-12-27 19:26:53 main:574] : INFO : Epoch 1858 | loss: 0.0310118 | val_loss: 0.0311763 | Time: 2316.29 ms [2021-12-27 19:26:56 main:574] : INFO : Epoch 1859 | loss: 0.0310128 | val_loss: 0.0311819 | Time: 2147.32 ms [2021-12-27 19:26:58 main:574] : INFO : Epoch 1860 | loss: 0.0310078 | val_loss: 0.0311668 | Time: 1970.35 ms [2021-12-27 19:27:00 main:574] : INFO : Epoch 1861 | loss: 0.0310057 | val_loss: 0.0311763 | Time: 2280.46 ms [2021-12-27 19:27:02 main:574] : INFO : Epoch 1862 | loss: 0.0309993 | val_loss: 0.0311757 | Time: 2131.13 ms [2021-12-27 19:27:04 main:574] : INFO : Epoch 1863 | loss: 0.030995 | val_loss: 0.0311926 | Time: 1955.66 ms [2021-12-27 19:27:06 main:574] : INFO : Epoch 1864 | loss: 0.0309935 | val_loss: 0.0311755 | Time: 2171 ms [2021-12-27 19:27:08 main:574] : INFO : Epoch 1865 | loss: 0.0310035 | val_loss: 0.0311729 | Time: 2280.92 ms [2021-12-27 19:27:10 main:574] : INFO : Epoch 1866 | loss: 0.0310064 | val_loss: 0.0311785 | Time: 1889.99 ms [2021-12-27 19:27:12 main:574] : INFO : Epoch 1867 | loss: 0.0310045 | val_loss: 0.0311686 | Time: 2143.88 ms [2021-12-27 19:27:15 main:574] : INFO : Epoch 1868 | loss: 0.0310001 | val_loss: 0.0311841 | Time: 2279.32 ms [2021-12-27 19:27:17 main:574] : INFO : Epoch 1869 | loss: 0.031 | val_loss: 0.0311613 | Time: 1947.72 ms [2021-12-27 19:27:19 main:574] : INFO : Epoch 1870 | loss: 0.0310069 | val_loss: 0.0311785 | Time: 2142.53 ms [2021-12-27 19:27:21 main:574] : INFO : Epoch 1871 | loss: 0.0310069 | val_loss: 0.0311884 | Time: 2068.8 ms [2021-12-27 19:27:23 main:574] : INFO : Epoch 1872 | loss: 0.0310025 | val_loss: 0.0311884 | Time: 2070.02 ms [2021-12-27 19:27:25 main:574] : INFO : Epoch 1873 | loss: 0.0310015 | val_loss: 0.0311913 | Time: 2163.4 ms [2021-12-27 19:27:27 main:574] : INFO : Epoch 1874 | loss: 0.0309991 | val_loss: 0.0311927 | Time: 2102.49 ms [2021-12-27 19:27:30 main:574] : INFO : Epoch 1875 | loss: 0.030993 | val_loss: 0.0311843 | Time: 2296.39 ms [2021-12-27 19:27:32 main:574] : INFO : Epoch 1876 | loss: 0.030995 | val_loss: 0.0312081 | Time: 2154.39 ms [2021-12-27 19:27:34 main:574] : INFO : Epoch 1877 | loss: 0.0310684 | val_loss: 0.0311396 | Time: 2102.56 ms [2021-12-27 19:27:36 main:574] : INFO : Epoch 1878 | loss: 0.0311182 | val_loss: 0.0311317 | Time: 1959.43 ms [2021-12-27 19:27:38 main:574] : INFO : Epoch 1879 | loss: 0.0311043 | val_loss: 0.0311271 | Time: 2338.38 ms [2021-12-27 19:27:40 main:574] : INFO : Epoch 1880 | loss: 0.0310929 | val_loss: 0.0311367 | Time: 2027.49 ms [2021-12-27 19:27:42 main:574] : INFO : Epoch 1881 | loss: 0.0310836 | val_loss: 0.0311379 | Time: 1968.43 ms [2021-12-27 19:27:44 main:574] : INFO : Epoch 1882 | loss: 0.0310714 | val_loss: 0.031141 | Time: 2268.19 ms [2021-12-27 19:27:47 main:574] : INFO : Epoch 1883 | loss: 0.0310595 | val_loss: 0.0311543 | Time: 2055.24 ms [2021-12-27 19:27:49 main:574] : INFO : Epoch 1884 | loss: 0.0310474 | val_loss: 0.0311607 | Time: 1965.85 ms [2021-12-27 19:27:51 main:574] : INFO : Epoch 1885 | loss: 0.0310374 | val_loss: 0.0311552 | Time: 2304.16 ms [2021-12-27 19:27:53 main:574] : INFO : Epoch 1886 | loss: 0.0310292 | val_loss: 0.0311723 | Time: 2026.46 ms [2021-12-27 19:27:55 main:574] : INFO : Epoch 1887 | loss: 0.031029 | val_loss: 0.0311606 | Time: 1957 ms [2021-12-27 19:27:57 main:574] : INFO : Epoch 1888 | loss: 0.0310201 | val_loss: 0.031171 | Time: 2228.41 ms [2021-12-27 19:27:59 main:574] : INFO : Epoch 1889 | loss: 0.0310188 | val_loss: 0.0311712 | Time: 2241.96 ms [2021-12-27 19:28:01 main:574] : INFO : Epoch 1890 | loss: 0.0310074 | val_loss: 0.0312034 | Time: 2001.76 ms [2021-12-27 19:28:04 main:574] : INFO : Epoch 1891 | loss: 0.0310224 | val_loss: 0.0311605 | Time: 2231.14 ms [2021-12-27 19:28:06 main:574] : INFO : Epoch 1892 | loss: 0.0310332 | val_loss: 0.0311692 | Time: 2184.69 ms [2021-12-27 19:28:08 main:574] : INFO : Epoch 1893 | loss: 0.0310168 | val_loss: 0.0311926 | Time: 1971.7 ms [2021-12-27 19:28:10 main:574] : INFO : Epoch 1894 | loss: 0.0310061 | val_loss: 0.0311883 | Time: 2235.89 ms [2021-12-27 19:28:12 main:574] : INFO : Epoch 1895 | loss: 0.0310008 | val_loss: 0.0311798 | Time: 2106.3 ms [2021-12-27 19:28:14 main:574] : INFO : Epoch 1896 | loss: 0.0309967 | val_loss: 0.0311893 | Time: 2064.39 ms [2021-12-27 19:28:16 main:574] : INFO : Epoch 1897 | loss: 0.0310003 | val_loss: 0.031185 | Time: 2237.76 ms [2021-12-27 19:28:19 main:574] : INFO : Epoch 1898 | loss: 0.0310019 | val_loss: 0.031188 | Time: 2108.01 ms [2021-12-27 19:28:21 main:574] : INFO : Epoch 1899 | loss: 0.0309972 | val_loss: 0.0311897 | Time: 2063.21 ms [2021-12-27 19:28:23 main:574] : INFO : Epoch 1900 | loss: 0.030996 | val_loss: 0.0311945 | Time: 2273.68 ms [2021-12-27 19:28:25 main:574] : INFO : Epoch 1901 | loss: 0.0310002 | val_loss: 0.0311953 | Time: 2083.43 ms [2021-12-27 19:28:27 main:574] : INFO : Epoch 1902 | loss: 0.0310029 | val_loss: 0.0312025 | Time: 2093.06 ms [2021-12-27 19:28:29 main:574] : INFO : Epoch 1903 | loss: 0.0310021 | val_loss: 0.0311817 | Time: 2211.05 ms [2021-12-27 19:28:31 main:574] : INFO : Epoch 1904 | loss: 0.0310008 | val_loss: 0.0311672 | Time: 2022.86 ms [2021-12-27 19:28:33 main:574] : INFO : Epoch 1905 | loss: 0.0309977 | val_loss: 0.0311814 | Time: 1983.83 ms [2021-12-27 19:28:36 main:574] : INFO : Epoch 1906 | loss: 0.0309991 | val_loss: 0.0311961 | Time: 2402.3 ms [2021-12-27 19:28:38 main:574] : INFO : Epoch 1907 | loss: 0.0310011 | val_loss: 0.0311897 | Time: 2070.46 ms [2021-12-27 19:28:40 main:574] : INFO : Epoch 1908 | loss: 0.0310038 | val_loss: 0.0311757 | Time: 1920.05 ms [2021-12-27 19:28:42 main:574] : INFO : Epoch 1909 | loss: 0.0310035 | val_loss: 0.031171 | Time: 2446.09 ms [2021-12-27 19:28:44 main:574] : INFO : Epoch 1910 | loss: 0.0309966 | val_loss: 0.0312136 | Time: 2048.03 ms [2021-12-27 19:28:46 main:574] : INFO : Epoch 1911 | loss: 0.0309957 | val_loss: 0.0311906 | Time: 2019.53 ms [2021-12-27 19:28:49 main:574] : INFO : Epoch 1912 | loss: 0.0310012 | val_loss: 0.0311964 | Time: 2370.41 ms [2021-12-27 19:28:51 main:574] : INFO : Epoch 1913 | loss: 0.0309936 | val_loss: 0.0311957 | Time: 2016.13 ms [2021-12-27 19:28:53 main:574] : INFO : Epoch 1914 | loss: 0.0309949 | val_loss: 0.0311925 | Time: 1934.82 ms [2021-12-27 19:28:55 main:574] : INFO : Epoch 1915 | loss: 0.0309916 | val_loss: 0.0311873 | Time: 2227.71 ms [2021-12-27 19:28:57 main:574] : INFO : Epoch 1916 | loss: 0.0309963 | val_loss: 0.031183 | Time: 2166.54 ms [2021-12-27 19:28:59 main:574] : INFO : Epoch 1917 | loss: 0.0309991 | val_loss: 0.0311983 | Time: 1882.49 ms [2021-12-27 19:29:01 main:574] : INFO : Epoch 1918 | loss: 0.0310086 | val_loss: 0.0311958 | Time: 2277.98 ms [2021-12-27 19:29:04 main:574] : INFO : Epoch 1919 | loss: 0.0310105 | val_loss: 0.0312011 | Time: 2170.22 ms [2021-12-27 19:29:06 main:574] : INFO : Epoch 1920 | loss: 0.0310079 | val_loss: 0.0311703 | Time: 2031.12 ms [2021-12-27 19:29:08 main:574] : INFO : Epoch 1921 | loss: 0.0309975 | val_loss: 0.0312067 | Time: 2208.73 ms Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: NVIDIA GeForce GTX 1660 Ti) [2021-12-30 22:47:13 main:435] : INFO : Set logging level to 1 [2021-12-30 22:47:13 main:441] : INFO : Running in BOINC Client mode [2021-12-30 22:47:13 main:444] : INFO : Resolving all filenames [2021-12-30 22:47:13 main:452] : INFO : Resolved: dataset.hdf5 => dataset.hdf5 (exists = 1) [2021-12-30 22:47:13 main:452] : INFO : Resolved: model.cfg => model.cfg (exists = 1) [2021-12-30 22:47:13 main:452] : INFO : Resolved: model-final.pt => model-final.pt (exists = 0) [2021-12-30 22:47:13 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 1) [2021-12-30 22:47:13 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1) [2021-12-30 22:47:13 main:472] : INFO : Dataset filename: dataset.hdf5 [2021-12-30 22:47:13 main:474] : INFO : Configuration: [2021-12-30 22:47:13 main:475] : INFO : Model type: GRU [2021-12-30 22:47:13 main:476] : INFO : Validation Loss Threshold: 0.0001 [2021-12-30 22:47:13 main:477] : INFO : Max Epochs: 2048 [2021-12-30 22:47:13 main:478] : INFO : Batch Size: 128 [2021-12-30 22:47:13 main:479] : INFO : Learning Rate: 0.01 [2021-12-30 22:47:13 main:480] : INFO : Patience: 10 [2021-12-30 22:47:13 main:481] : INFO : Hidden Width: 12 [2021-12-30 22:47:13 main:482] : INFO : # Recurrent Layers: 4 [2021-12-30 22:47:13 main:483] : INFO : # Backend Layers: 4 [2021-12-30 22:47:13 main:484] : INFO : # Threads: 1 [2021-12-30 22:47:13 main:486] : INFO : Preparing Dataset [2021-12-30 22:47:13 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from dataset.hdf5 into memory [2021-12-30 22:47:13 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from dataset.hdf5 into memory Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: NVIDIA GeForce GTX 1660 Ti) [2022-01-08 15:25:10 main:435] : INFO : Set logging level to 1 [2022-01-08 15:25:10 main:441] : INFO : Running in BOINC Client mode [2022-01-08 15:25:10 main:444] : INFO : Resolving all filenames [2022-01-08 15:25:10 main:452] : INFO : Resolved: dataset.hdf5 => dataset.hdf5 (exists = 1) [2022-01-08 15:25:10 main:452] : INFO : Resolved: model.cfg => model.cfg (exists = 1) [2022-01-08 15:25:10 main:452] : INFO : Resolved: model-final.pt => model-final.pt (exists = 0) [2022-01-08 15:25:10 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 1) [2022-01-08 15:25:10 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1) [2022-01-08 15:25:10 main:472] : INFO : Dataset filename: dataset.hdf5 [2022-01-08 15:25:10 main:474] : INFO : Configuration: [2022-01-08 15:25:10 main:475] : INFO : Model type: GRU [2022-01-08 15:25:10 main:476] : INFO : Validation Loss Threshold: 0.0001 [2022-01-08 15:25:10 main:477] : INFO : Max Epochs: 2048 [2022-01-08 15:25:10 main:478] : INFO : Batch Size: 128 [2022-01-08 15:25:10 main:479] : INFO : Learning Rate: 0.01 [2022-01-08 15:25:10 main:480] : INFO : Patience: 10 [2022-01-08 15:25:10 main:481] : INFO : Hidden Width: 12 [2022-01-08 15:25:10 main:482] : INFO : # Recurrent Layers: 4 [2022-01-08 15:25:10 main:483] : INFO : # Backend Layers: 4 [2022-01-08 15:25:10 main:484] : INFO : # Threads: 1 [2022-01-08 15:25:10 main:486] : INFO : Preparing Dataset [2022-01-08 15:25:10 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from dataset.hdf5 into memory [2022-01-08 15:25:11 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from dataset.hdf5 into memory [2022-01-08 15:25:13 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2022-01-08 15:25:13 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from dataset.hdf5 into memory [2022-01-08 15:25:13 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from dataset.hdf5 into memory [2022-01-08 15:25:13 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2022-01-08 15:25:13 main:494] : INFO : Creating Model [2022-01-08 15:25:14 main:507] : INFO : Preparing config file [2022-01-08 15:25:14 main:511] : INFO : Found checkpoint, attempting to load... [2022-01-08 15:25:14 main:512] : INFO : Loading config [2022-01-08 15:25:14 main:514] : INFO : Loading state [2022-01-08 15:25:15 main:559] : INFO : Loading DataLoader into Memory [2022-01-08 15:25:15 main:562] : INFO : Starting Training [2022-01-08 15:25:29 main:574] : INFO : Epoch 1922 | loss: 0.0310586 | val_loss: 0.031189 | Time: 13368.4 ms [2022-01-08 15:25:31 main:574] : INFO : Epoch 1923 | loss: 0.0310109 | val_loss: 0.031182 | Time: 2490.33 ms [2022-01-08 15:25:34 main:574] : INFO : Epoch 1924 | loss: 0.0310026 | val_loss: 0.031197 | Time: 2462.89 ms [2022-01-08 15:25:37 main:574] : INFO : Epoch 1925 | loss: 0.0309981 | val_loss: 0.0311973 | Time: 3254.8 ms [2022-01-08 15:25:40 main:574] : INFO : Epoch 1926 | loss: 0.0310228 | val_loss: 0.0311725 | Time: 2628.83 ms [2022-01-08 15:25:42 main:574] : INFO : Epoch 1927 | loss: 0.0310111 | val_loss: 0.0311715 | Time: 2751.23 ms [2022-01-08 15:25:45 main:574] : INFO : Epoch 1928 | loss: 0.0310106 | val_loss: 0.0312007 | Time: 2765.3 ms [2022-01-08 15:25:48 main:574] : INFO : Epoch 1929 | loss: 0.0310051 | val_loss: 0.0311974 | Time: 2352.69 ms [2022-01-08 15:25:50 main:574] : INFO : Epoch 1930 | loss: 0.0309968 | val_loss: 0.0311764 | Time: 2915.69 ms [2022-01-08 15:25:53 main:574] : INFO : Epoch 1931 | loss: 0.0309955 | val_loss: 0.0311792 | Time: 2736.42 ms [2022-01-08 15:25:56 main:574] : INFO : Epoch 1932 | loss: 0.0309945 | val_loss: 0.0312002 | Time: 2600.6 ms [2022-01-08 15:25:59 main:574] : INFO : Epoch 1933 | loss: 0.0309915 | val_loss: 0.0311923 | Time: 3034.02 ms [2022-01-08 15:26:03 main:574] : INFO : Epoch 1934 | loss: 0.0309885 | val_loss: 0.0312031 | Time: 4010.34 ms [2022-01-08 15:26:07 main:574] : INFO : Epoch 1935 | loss: 0.0309904 | val_loss: 0.0312058 | Time: 4327.17 ms [2022-01-08 15:26:11 main:574] : INFO : Epoch 1936 | loss: 0.0309908 | val_loss: 0.0311799 | Time: 3650.45 ms [2022-01-08 15:26:13 main:574] : INFO : Epoch 1937 | loss: 0.030991 | val_loss: 0.0311946 | Time: 2657.92 ms [2022-01-08 15:26:16 main:574] : INFO : Epoch 1938 | loss: 0.0309924 | val_loss: 0.0311768 | Time: 2681.15 ms [2022-01-08 15:26:19 main:574] : INFO : Epoch 1939 | loss: 0.0309969 | val_loss: 0.0312035 | Time: 2996.58 ms [2022-01-08 15:26:22 main:574] : INFO : Epoch 1940 | loss: 0.0309913 | val_loss: 0.0311964 | Time: 2386.7 ms [2022-01-08 15:26:24 main:574] : INFO : Epoch 1941 | loss: 0.0309903 | val_loss: 0.0312125 | Time: 2664.15 ms [2022-01-08 15:26:27 main:574] : INFO : Epoch 1942 | loss: 0.0309909 | val_loss: 0.0311643 | Time: 2971.57 ms [2022-01-08 15:26:30 main:574] : INFO : Epoch 1943 | loss: 0.0309911 | val_loss: 0.0311986 | Time: 2817.19 ms [2022-01-08 15:26:33 main:574] : INFO : Epoch 1944 | loss: 0.0310004 | val_loss: 0.0311874 | Time: 3256.54 ms [2022-01-08 15:26:38 main:574] : INFO : Epoch 1945 | loss: 0.0310033 | val_loss: 0.0311851 | Time: 4442.89 ms [2022-01-08 15:26:42 main:574] : INFO : Epoch 1946 | loss: 0.0309992 | val_loss: 0.0311865 | Time: 3852.72 ms [2022-01-08 15:26:44 main:574] : INFO : Epoch 1947 | loss: 0.0309995 | val_loss: 0.0311851 | Time: 2818.14 ms [2022-01-08 15:26:47 main:574] : INFO : Epoch 1948 | loss: 0.0309954 | val_loss: 0.0311941 | Time: 2830.29 ms [2022-01-08 15:26:50 main:574] : INFO : Epoch 1949 | loss: 0.0309899 | val_loss: 0.0311766 | Time: 2506.84 ms [2022-01-08 15:26:52 main:574] : INFO : Epoch 1950 | loss: 0.0309918 | val_loss: 0.0311907 | Time: 2405.58 ms [2022-01-08 15:26:55 main:574] : INFO : Epoch 1951 | loss: 0.0309925 | val_loss: 0.0311937 | Time: 2403.97 ms [2022-01-08 15:26:57 main:574] : INFO : Epoch 1952 | loss: 0.0309872 | val_loss: 0.0311927 | Time: 2524.17 ms [2022-01-08 15:27:00 main:574] : INFO : Epoch 1953 | loss: 0.0309892 | val_loss: 0.0311868 | Time: 2910.44 ms [2022-01-08 15:27:03 main:574] : INFO : Epoch 1954 | loss: 0.0309964 | val_loss: 0.0312079 | Time: 2796.82 ms [2022-01-08 15:27:05 main:574] : INFO : Epoch 1955 | loss: 0.0309895 | val_loss: 0.0311948 | Time: 2017.46 ms [2022-01-08 15:27:07 main:574] : INFO : Epoch 1956 | loss: 0.03099 | val_loss: 0.0311846 | Time: 2283.22 ms [2022-01-08 15:27:09 main:574] : INFO : Epoch 1957 | loss: 0.0310011 | val_loss: 0.0311956 | Time: 2091.8 ms [2022-01-08 15:27:12 main:574] : INFO : Epoch 1958 | loss: 0.0310127 | val_loss: 0.0311852 | Time: 2273.89 ms [2022-01-08 15:27:15 main:574] : INFO : Epoch 1959 | loss: 0.0310252 | val_loss: 0.0311695 | Time: 3042.64 ms [2022-01-08 15:27:17 main:574] : INFO : Epoch 1960 | loss: 0.0310043 | val_loss: 0.0312215 | Time: 2644.83 ms [2022-01-08 15:27:20 main:574] : INFO : Epoch 1961 | loss: 0.0310012 | val_loss: 0.0311753 | Time: 2570.67 ms [2022-01-08 15:27:22 main:574] : INFO : Epoch 1962 | loss: 0.0309995 | val_loss: 0.031166 | Time: 2394.52 ms [2022-01-08 15:27:24 main:574] : INFO : Epoch 1963 | loss: 0.0310088 | val_loss: 0.0311648 | Time: 2125.88 ms [2022-01-08 15:27:27 main:574] : INFO : Epoch 1964 | loss: 0.031009 | val_loss: 0.0311767 | Time: 2564.84 ms [2022-01-08 15:27:30 main:574] : INFO : Epoch 1965 | loss: 0.031004 | val_loss: 0.0311976 | Time: 2874.88 ms [2022-01-08 15:27:32 main:574] : INFO : Epoch 1966 | loss: 0.0309969 | val_loss: 0.0311947 | Time: 2559.7 ms [2022-01-08 15:27:35 main:574] : INFO : Epoch 1967 | loss: 0.0309932 | val_loss: 0.0311979 | Time: 2513.09 ms [2022-01-08 15:27:37 main:574] : INFO : Epoch 1968 | loss: 0.0310371 | val_loss: 0.0311683 | Time: 2180.1 ms [2022-01-08 15:27:39 main:574] : INFO : Epoch 1969 | loss: 0.0310491 | val_loss: 0.031181 | Time: 1982.43 ms [2022-01-08 15:27:41 main:574] : INFO : Epoch 1970 | loss: 0.0310339 | val_loss: 0.0311832 | Time: 2073.46 ms [2022-01-08 15:27:44 main:574] : INFO : Epoch 1971 | loss: 0.0310204 | val_loss: 0.0311892 | Time: 2875.55 ms [2022-01-08 15:27:47 main:574] : INFO : Epoch 1972 | loss: 0.0310074 | val_loss: 0.0311885 | Time: 2661.48 ms [2022-01-08 15:27:50 main:574] : INFO : Epoch 1973 | loss: 0.0310024 | val_loss: 0.0311767 | Time: 2802.99 ms [2022-01-08 15:27:52 main:574] : INFO : Epoch 1974 | loss: 0.0309985 | val_loss: 0.0312064 | Time: 2495.25 ms [2022-01-08 15:27:54 main:574] : INFO : Epoch 1975 | loss: 0.0309947 | val_loss: 0.0312067 | Time: 2359.06 ms [2022-01-08 15:27:57 main:574] : INFO : Epoch 1976 | loss: 0.0310016 | val_loss: 0.0311797 | Time: 2767.56 ms [2022-01-08 15:28:00 main:574] : INFO : Epoch 1977 | loss: 0.0310033 | val_loss: 0.0311834 | Time: 2758.88 ms [2022-01-08 15:28:03 main:574] : INFO : Epoch 1978 | loss: 0.0309958 | val_loss: 0.0312125 | Time: 2615.28 ms [2022-01-08 15:28:05 main:574] : INFO : Epoch 1979 | loss: 0.030995 | val_loss: 0.0311882 | Time: 2393.41 ms [2022-01-08 15:28:07 main:574] : INFO : Epoch 1980 | loss: 0.0309924 | val_loss: 0.0312024 | Time: 2309.48 ms [2022-01-08 15:28:09 main:574] : INFO : Epoch 1981 | loss: 0.0309873 | val_loss: 0.031187 | Time: 1995.89 ms [2022-01-08 15:28:12 main:574] : INFO : Epoch 1982 | loss: 0.0309953 | val_loss: 0.0311765 | Time: 2337.2 ms [2022-01-08 15:28:14 main:574] : INFO : Epoch 1983 | loss: 0.0310112 | val_loss: 0.0312146 | Time: 2065.05 ms [2022-01-08 15:28:16 main:574] : INFO : Epoch 1984 | loss: 0.0310083 | val_loss: 0.031184 | Time: 2201.72 ms [2022-01-08 15:28:19 main:574] : INFO : Epoch 1985 | loss: 0.0310006 | val_loss: 0.031179 | Time: 2912.06 ms [2022-01-08 15:28:22 main:574] : INFO : Epoch 1986 | loss: 0.0309933 | val_loss: 0.0311886 | Time: 2736.07 ms [2022-01-08 15:28:24 main:574] : INFO : Epoch 1987 | loss: 0.0309976 | val_loss: 0.0312112 | Time: 2509.79 ms [2022-01-08 15:28:27 main:574] : INFO : Epoch 1988 | loss: 0.0309943 | val_loss: 0.0311903 | Time: 2550.57 ms [2022-01-08 15:28:29 main:574] : INFO : Epoch 1989 | loss: 0.0310522 | val_loss: 0.0311673 | Time: 2029.8 ms [2022-01-08 15:28:31 main:574] : INFO : Epoch 1990 | loss: 0.0310788 | val_loss: 0.0311456 | Time: 1970.06 ms [2022-01-08 15:28:33 main:574] : INFO : Epoch 1991 | loss: 0.0310472 | val_loss: 0.031187 | Time: 2254.51 ms [2022-01-08 15:28:35 main:574] : INFO : Epoch 1992 | loss: 0.0310244 | val_loss: 0.0311722 | Time: 2045.72 ms [2022-01-08 15:28:37 main:574] : INFO : Epoch 1993 | loss: 0.0310188 | val_loss: 0.0311982 | Time: 2058.26 ms [2022-01-08 15:28:39 main:574] : INFO : Epoch 1994 | loss: 0.0310047 | val_loss: 0.0311984 | Time: 2230.49 ms [2022-01-08 15:28:42 main:574] : INFO : Epoch 1995 | loss: 0.0309978 | val_loss: 0.0311885 | Time: 2191.7 ms [2022-01-08 15:28:44 main:574] : INFO : Epoch 1996 | loss: 0.0309966 | val_loss: 0.0311907 | Time: 2017.51 ms [2022-01-08 15:28:46 main:574] : INFO : Epoch 1997 | loss: 0.0309999 | val_loss: 0.0311966 | Time: 2163.14 ms [2022-01-08 15:28:48 main:574] : INFO : Epoch 1998 | loss: 0.0309915 | val_loss: 0.0312105 | Time: 2596.14 ms [2022-01-08 15:28:51 main:574] : INFO : Epoch 1999 | loss: 0.0309857 | val_loss: 0.0311788 | Time: 2634.4 ms [2022-01-08 15:28:54 main:574] : INFO : Epoch 2000 | loss: 0.0309973 | val_loss: 0.0311875 | Time: 2782.91 ms [2022-01-08 15:28:56 main:574] : INFO : Epoch 2001 | loss: 0.030995 | val_loss: 0.031196 | Time: 2717.99 ms [2022-01-08 15:28:59 main:574] : INFO : Epoch 2002 | loss: 0.0309904 | val_loss: 0.0311945 | Time: 2076.48 ms [2022-01-08 15:29:01 main:574] : INFO : Epoch 2003 | loss: 0.0309994 | val_loss: 0.0311853 | Time: 2171.12 ms [2022-01-08 15:29:03 main:574] : INFO : Epoch 2004 | loss: 0.0310029 | val_loss: 0.0312175 | Time: 2080.7 ms [2022-01-08 15:29:05 main:574] : INFO : Epoch 2005 | loss: 0.0309953 | val_loss: 0.0312165 | Time: 2170.62 ms [2022-01-08 15:29:07 main:574] : INFO : Epoch 2006 | loss: 0.0309963 | val_loss: 0.0311829 | Time: 2180.83 ms [2022-01-08 15:29:10 main:574] : INFO : Epoch 2007 | loss: 0.0309977 | val_loss: 0.0312128 | Time: 2786.4 ms [2022-01-08 15:29:13 main:574] : INFO : Epoch 2008 | loss: 0.0309927 | val_loss: 0.0311976 | Time: 2686.03 ms [2022-01-08 15:29:16 main:574] : INFO : Epoch 2009 | loss: 0.030991 | val_loss: 0.0312096 | Time: 3211.74 ms [2022-01-08 15:29:18 main:574] : INFO : Epoch 2010 | loss: 0.0309868 | val_loss: 0.0311899 | Time: 2303.16 ms [2022-01-08 15:29:20 main:574] : INFO : Epoch 2011 | loss: 0.0309867 | val_loss: 0.0311894 | Time: 2065.55 ms [2022-01-08 15:29:22 main:574] : INFO : Epoch 2012 | loss: 0.0309929 | val_loss: 0.0311883 | Time: 2056.67 ms [2022-01-08 15:29:24 main:574] : INFO : Epoch 2013 | loss: 0.0309909 | val_loss: 0.0311947 | Time: 2086.53 ms [2022-01-08 15:29:27 main:574] : INFO : Epoch 2014 | loss: 0.0309886 | val_loss: 0.0311906 | Time: 2120.46 ms [2022-01-08 15:29:29 main:574] : INFO : Epoch 2015 | loss: 0.0309903 | val_loss: 0.0311813 | Time: 2302.66 ms [2022-01-08 15:29:32 main:574] : INFO : Epoch 2016 | loss: 0.0309823 | val_loss: 0.0311966 | Time: 2704.77 ms [2022-01-08 15:29:34 main:574] : INFO : Epoch 2017 | loss: 0.0309855 | val_loss: 0.0312062 | Time: 2720.46 ms [2022-01-08 15:29:37 main:574] : INFO : Epoch 2018 | loss: 0.0309892 | val_loss: 0.0312112 | Time: 2756.08 ms [2022-01-08 15:29:39 main:574] : INFO : Epoch 2019 | loss: 0.0309894 | val_loss: 0.0311901 | Time: 2241.41 ms [2022-01-08 15:29:42 main:574] : INFO : Epoch 2020 | loss: 0.0309863 | val_loss: 0.0312251 | Time: 2170.41 ms [2022-01-08 15:29:44 main:574] : INFO : Epoch 2021 | loss: 0.0309878 | val_loss: 0.0312214 | Time: 2440.41 ms [2022-01-08 15:29:47 main:574] : INFO : Epoch 2022 | loss: 0.0309841 | val_loss: 0.0311981 | Time: 2702.12 ms [2022-01-08 15:29:49 main:574] : INFO : Epoch 2023 | loss: 0.0309937 | val_loss: 0.0311947 | Time: 2726.66 ms [2022-01-08 15:29:52 main:574] : INFO : Epoch 2024 | loss: 0.0309986 | val_loss: 0.0312131 | Time: 2701.49 ms [2022-01-08 15:29:55 main:574] : INFO : Epoch 2025 | loss: 0.0309999 | val_loss: 0.0311566 | Time: 2326.22 ms [2022-01-08 15:29:57 main:574] : INFO : Epoch 2026 | loss: 0.0310331 | val_loss: 0.0311903 | Time: 2806.01 ms [2022-01-08 15:30:00 main:574] : INFO : Epoch 2027 | loss: 0.0310112 | val_loss: 0.0311797 | Time: 2676.49 ms [2022-01-08 15:30:03 main:574] : INFO : Epoch 2028 | loss: 0.0310008 | val_loss: 0.0311854 | Time: 2647.84 ms [2022-01-08 15:30:05 main:574] : INFO : Epoch 2029 | loss: 0.0309962 | val_loss: 0.0311988 | Time: 2273.56 ms [2022-01-08 15:30:07 main:574] : INFO : Epoch 2030 | loss: 0.0309921 | val_loss: 0.0312043 | Time: 2293.29 ms [2022-01-08 15:30:10 main:574] : INFO : Epoch 2031 | loss: 0.0309897 | val_loss: 0.0311813 | Time: 2533.73 ms [2022-01-08 15:30:12 main:574] : INFO : Epoch 2032 | loss: 0.0309923 | val_loss: 0.031204 | Time: 2120.63 ms [2022-01-08 15:30:14 main:574] : INFO : Epoch 2033 | loss: 0.0310027 | val_loss: 0.0311852 | Time: 2457.02 ms [2022-01-08 15:30:19 main:574] : INFO : Epoch 2034 | loss: 0.031001 | val_loss: 0.0311992 | Time: 4507.58 ms [2022-01-08 15:30:23 main:574] : INFO : Epoch 2035 | loss: 0.0309941 | val_loss: 0.0312003 | Time: 4251.34 ms [2022-01-08 15:30:26 main:574] : INFO : Epoch 2036 | loss: 0.0309993 | val_loss: 0.0312026 | Time: 2870.48 ms [2022-01-08 15:30:29 main:574] : INFO : Epoch 2037 | loss: 0.0310264 | val_loss: 0.0311846 | Time: 2863.35 ms [2022-01-08 15:30:32 main:574] : INFO : Epoch 2038 | loss: 0.0310069 | val_loss: 0.0311801 | Time: 2603.06 ms [2022-01-08 15:30:34 main:574] : INFO : Epoch 2039 | loss: 0.0310011 | val_loss: 0.0312201 | Time: 2637.65 ms [2022-01-08 15:30:37 main:574] : INFO : Epoch 2040 | loss: 0.0310016 | val_loss: 0.0311997 | Time: 2398.25 ms [2022-01-08 15:30:39 main:574] : INFO : Epoch 2041 | loss: 0.0310023 | val_loss: 0.0311765 | Time: 2163.78 ms [2022-01-08 15:30:41 main:574] : INFO : Epoch 2042 | loss: 0.0309976 | val_loss: 0.0312003 | Time: 2563 ms [2022-01-08 15:30:44 main:574] : INFO : Epoch 2043 | loss: 0.0309928 | val_loss: 0.0311969 | Time: 2835.43 ms [2022-01-08 15:30:47 main:574] : INFO : Epoch 2044 | loss: 0.0310078 | val_loss: 0.0311798 | Time: 2611.56 ms [2022-01-08 15:30:49 main:574] : INFO : Epoch 2045 | loss: 0.0310047 | val_loss: 0.0311923 | Time: 2277.12 ms [2022-01-08 15:30:51 main:574] : INFO : Epoch 2046 | loss: 0.0310079 | val_loss: 0.0311918 | Time: 2237.92 ms [2022-01-08 15:30:55 main:574] : INFO : Epoch 2047 | loss: 0.0309979 | val_loss: 0.0311988 | Time: 3310.98 ms [2022-01-08 15:30:59 main:574] : INFO : Epoch 2048 | loss: 0.0309949 | val_loss: 0.0311957 | Time: 4186.4 ms [2022-01-08 15:30:59 main:597] : INFO : Saving trained model to model-final.pt, val_loss 0.0311957 [2022-01-08 15:30:59 main:603] : INFO : Saving end state to config to file [2022-01-08 15:30:59 main:608] : INFO : Success, exiting.. 15:30:59 (7772): called boinc_finish(0) </stderr_txt> ]]>
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A project of the Cognition, Robotics, and Learning (CORAL) Lab at the University of Maryland, Baltimore County (UMBC)