Task 5315625
| Name | ParityMachine-1622599889-25597-3_0 |
| Workunit | 3198632 |
| Created | 9 Jun 2021, 4:51:20 UTC |
| Sent | 14 Jun 2021, 5:38:45 UTC |
| Report deadline | 21 Jun 2021, 5:38:45 UTC |
| Received | 15 Jul 2021, 3:14:25 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 10909 |
| Run time | 4 hours 34 min 6 sec |
| CPU time | 4 hours 5 min 3 sec |
| Validate state | Task was reported too late to validate |
| Credit | 0.00 |
| Device peak FLOPS | 4,379.06 GFLOPS |
| Application version | Machine Learning Dataset Generator (GPU) v9.75 (cuda10200) windows_x86_64 |
| Peak working set size | 2.34 GB |
| Peak swap size | 3.61 GB |
| Peak disk usage | 1.54 GB |
Stderr output
<core_client_version>7.16.11</core_client_version> <![CDATA[ <stderr_txt> tion: [2021-07-14 16:54:35 main:475] : INFO : Model type: GRU [2021-07-14 16:54:35 main:476] : INFO : Validation Loss Threshold: 0.0001 [2021-07-14 16:54:35 main:477] : INFO : Max Epochs: 2048 [2021-07-14 16:54:35 main:478] : INFO : Batch Size: 128 [2021-07-14 16:54:36 main:479] : INFO : Learning Rate: 0.01 [2021-07-14 16:54:36 main:480] : INFO : Patience: 10 [2021-07-14 16:54:36 main:481] : INFO : Hidden Width: 12 [2021-07-14 16:54:36 main:482] : INFO : # Recurrent Layers: 4 [2021-07-14 16:54:36 main:483] : INFO : # Backend Layers: 4 [2021-07-14 16:54:36 main:484] : INFO : # Threads: 1 [2021-07-14 16:54:36 main:486] : INFO : Preparing Dataset [2021-07-14 16:54:36 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 into memory [2021-07-14 16:54:36 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 into memory [2021-07-14 16:54:38 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2021-07-14 16:54:38 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 into memory [2021-07-14 16:54:38 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 into memory [2021-07-14 16:54:38 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2021-07-14 16:54:38 main:494] : INFO : Creating Model [2021-07-14 16:54:38 main:507] : INFO : Preparing config file [2021-07-14 16:54:38 main:511] : INFO : Found checkpoint, attempting to load... [2021-07-14 16:54:38 main:512] : INFO : Loading config [2021-07-14 16:54:38 main:514] : INFO : Loading state [2021-07-14 16:54:39 main:559] : INFO : Loading DataLoader into Memory [2021-07-14 16:54:39 main:562] : INFO : Starting Training [2021-07-14 16:54:44 main:574] : INFO : Epoch 1700 | loss: 0.0311617 | val_loss: 0.0311361 | Time: 4336.18 ms Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: NVIDIA GeForce GTX 1060 6GB) [2021-07-14 17:00:53 main:435] : INFO : Set logging level to 1 [2021-07-14 17:00:53 main:441] : INFO : Running in BOINC Client mode [2021-07-14 17:00:53 main:444] : INFO : Resolving all filenames [2021-07-14 17:00:54 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 (exists = 1) [2021-07-14 17:00:54 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/ParityMachine-1622599889-25597-3_0_r956996936_1 (exists = 1) [2021-07-14 17:00:54 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/ParityMachine-1622599889-25597-3_0_r956996936_0 (exists = 0) [2021-07-14 17:00:54 main:452] : INFO : Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/ParityMachine-1622599889-25597-3 (exists = 1) [2021-07-14 17:00:54 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1) [2021-07-14 17:00:55 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 [2021-07-14 17:00:55 main:474] : INFO : Configuration: [2021-07-14 17:00:55 main:475] : INFO : Model type: GRU [2021-07-14 17:00:55 main:476] : INFO : Validation Loss Threshold: 0.0001 [2021-07-14 17:00:55 main:477] : INFO : Max Epochs: 2048 [2021-07-14 17:00:56 main:478] : INFO : Batch Size: 128 [2021-07-14 17:00:56 main:479] : INFO : Learning Rate: 0.01 [2021-07-14 17:00:56 main:480] : INFO : Patience: 10 [2021-07-14 17:00:56 main:481] : INFO : Hidden Width: 12 [2021-07-14 17:00:56 main:482] : INFO : # Recurrent Layers: 4 [2021-07-14 17:00:56 main:483] : INFO : # Backend Layers: 4 [2021-07-14 17:00:57 main:484] : INFO : # Threads: 1 [2021-07-14 17:00:57 main:486] : INFO : Preparing Dataset [2021-07-14 17:00:57 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 into memory [2021-07-14 17:00:57 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 into memory [2021-07-14 17:00:59 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2021-07-14 17:01:00 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 into memory [2021-07-14 17:01:00 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 into memory [2021-07-14 17:01:00 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2021-07-14 17:01:01 main:494] : INFO : Creating Model [2021-07-14 17:01:01 main:507] : INFO : Preparing config file [2021-07-14 17:01:01 main:511] : INFO : Found checkpoint, attempting to load... [2021-07-14 17:01:01 main:512] : INFO : Loading config [2021-07-14 17:01:01 main:514] : INFO : Loading state [2021-07-14 17:01:03 main:559] : INFO : Loading DataLoader into Memory [2021-07-14 17:01:04 main:562] : INFO : Starting Training [2021-07-14 17:01:58 main:574] : INFO : Epoch 1700 | loss: 0.0311529 | val_loss: 0.0311476 | Time: 53517.2 ms [2021-07-14 17:02:08 main:574] : INFO : Epoch 1701 | loss: 0.031113 | val_loss: 0.0311318 | Time: 9571.52 ms [2021-07-14 17:02:17 main:574] : INFO : Epoch 1702 | loss: 0.03111 | val_loss: 0.0311312 | Time: 8264.76 ms [2021-07-14 17:02:26 main:574] : INFO : Epoch 1703 | loss: 0.0311099 | val_loss: 0.0311361 | Time: 8272.4 ms [2021-07-14 17:02:36 main:574] : INFO : Epoch 1704 | loss: 0.031108 | val_loss: 0.0311335 | Time: 9312.16 ms [2021-07-14 17:02:45 main:574] : INFO : Epoch 1705 | loss: 0.0311065 | val_loss: 0.0311336 | Time: 9361.41 ms [2021-07-14 17:02:56 main:574] : INFO : Epoch 1706 | loss: 0.0311049 | val_loss: 0.0311336 | Time: 10301.6 ms [2021-07-14 17:03:06 main:574] : INFO : Epoch 1707 | loss: 0.0311051 | val_loss: 0.0311303 | Time: 9430.81 ms [2021-07-14 17:03:16 main:574] : INFO : Epoch 1708 | loss: 0.031105 | val_loss: 0.0311294 | Time: 9336.3 ms [2021-07-14 17:03:26 main:574] : INFO : Epoch 1709 | loss: 0.031105 | val_loss: 0.0311295 | Time: 8748.84 ms [2021-07-14 17:03:36 main:574] : INFO : Epoch 1710 | loss: 0.0311039 | val_loss: 0.0311308 | Time: 9411.29 ms [2021-07-14 17:03:46 main:574] : INFO : Epoch 1711 | loss: 0.0311035 | val_loss: 0.0311306 | Time: 9691.31 ms [2021-07-14 17:03:56 main:574] : INFO : Epoch 1712 | loss: 0.0311059 | val_loss: 0.0311412 | Time: 9233.08 ms [2021-07-14 17:04:06 main:574] : INFO : Epoch 1713 | loss: 0.0311067 | val_loss: 0.0311331 | Time: 9187.58 ms [2021-07-14 17:04:16 main:574] : INFO : Epoch 1714 | loss: 0.0311041 | val_loss: 0.0311319 | Time: 9764.57 ms [2021-07-14 17:04:25 main:574] : INFO : Epoch 1715 | loss: 0.0311036 | val_loss: 0.0311396 | Time: 9391.65 ms [2021-07-14 17:04:36 main:574] : INFO : Epoch 1716 | loss: 0.031103 | val_loss: 0.03113 | Time: 9533.04 ms [2021-07-14 17:04:47 main:574] : INFO : Epoch 1717 | loss: 0.0311017 | val_loss: 0.0311312 | Time: 10303.2 ms [2021-07-14 17:04:57 main:574] : INFO : Epoch 1718 | loss: 0.0311054 | val_loss: 0.0311316 | Time: 9787.94 ms [2021-07-14 17:05:07 main:574] : INFO : Epoch 1719 | loss: 0.0311038 | val_loss: 0.0311333 | Time: 9823.68 ms [2021-07-14 17:05:18 main:574] : INFO : Epoch 1720 | loss: 0.0311033 | val_loss: 0.031132 | Time: 9928.6 ms [2021-07-14 17:05:29 main:574] : INFO : Epoch 1721 | loss: 0.0311035 | val_loss: 0.0311335 | Time: 9906.25 ms [2021-07-14 17:05:39 main:574] : INFO : Epoch 1722 | loss: 0.0311042 | val_loss: 0.0311335 | Time: 9813.87 ms [2021-07-14 17:05:49 main:574] : INFO : Epoch 1723 | loss: 0.031102 | val_loss: 0.0311351 | Time: 9702.75 ms [2021-07-14 17:05:59 main:574] : INFO : Epoch 1724 | loss: 0.0311019 | val_loss: 0.0311336 | Time: 9618.41 ms [2021-07-14 17:06:08 main:574] : INFO : Epoch 1725 | loss: 0.0311005 | val_loss: 0.031136 | Time: 9323.05 ms [2021-07-14 17:06:18 main:574] : INFO : Epoch 1726 | loss: 0.0310996 | val_loss: 0.0311323 | Time: 9678.23 ms [2021-07-14 17:06:28 main:574] : INFO : Epoch 1727 | loss: 0.0311008 | val_loss: 0.0311355 | Time: 9340.77 ms [2021-07-14 17:06:38 main:574] : INFO : Epoch 1728 | loss: 0.0310999 | val_loss: 0.0311329 | Time: 9928.45 ms [2021-07-14 17:06:48 main:574] : INFO : Epoch 1729 | loss: 0.0311002 | val_loss: 0.031134 | Time: 9388.32 ms [2021-07-14 17:06:58 main:574] : INFO : Epoch 1730 | loss: 0.0311005 | val_loss: 0.0311336 | Time: 9796.7 ms [2021-07-14 17:07:09 main:574] : INFO : Epoch 1731 | loss: 0.0311004 | val_loss: 0.0311349 | Time: 10239.1 ms [2021-07-14 17:07:19 main:574] : INFO : Epoch 1732 | loss: 0.0310995 | val_loss: 0.0311333 | Time: 10561.7 ms [2021-07-14 17:07:31 main:574] : INFO : Epoch 1733 | loss: 0.0310992 | val_loss: 0.0311334 | Time: 10934.5 ms [2021-07-14 17:07:42 main:574] : INFO : Epoch 1734 | loss: 0.0310996 | val_loss: 0.0311369 | Time: 10077.1 ms [2021-07-14 17:07:53 main:574] : INFO : Epoch 1735 | loss: 0.0310997 | val_loss: 0.0311336 | Time: 10390.1 ms [2021-07-14 17:08:02 main:574] : INFO : Epoch 1736 | loss: 0.0310984 | val_loss: 0.0311329 | Time: 9168.91 ms [2021-07-14 17:08:12 main:574] : INFO : Epoch 1737 | loss: 0.031097 | val_loss: 0.0311378 | Time: 9227.69 ms [2021-07-14 17:08:22 main:574] : INFO : Epoch 1738 | loss: 0.0310985 | val_loss: 0.0311366 | Time: 9414.96 ms [2021-07-14 17:08:36 main:574] : INFO : Epoch 1739 | loss: 0.0310966 | val_loss: 0.0311346 | Time: 12918.3 ms [2021-07-14 17:08:55 main:574] : INFO : Epoch 1740 | loss: 0.0310974 | val_loss: 0.0311357 | Time: 17959.9 ms [2021-07-14 17:09:13 main:574] : INFO : Epoch 1741 | loss: 0.0310993 | val_loss: 0.0311326 | Time: 18056.6 ms [2021-07-14 17:09:43 main:574] : INFO : Epoch 1742 | loss: 0.0311026 | val_loss: 0.0311353 | Time: 29598 ms [2021-07-14 17:10:12 main:574] : INFO : Epoch 1743 | loss: 0.0311015 | val_loss: 0.0311332 | Time: 28842.1 ms [2021-07-14 17:10:30 main:574] : INFO : Epoch 1744 | loss: 0.0311011 | val_loss: 0.031132 | Time: 17711.5 ms [2021-07-14 17:10:48 main:574] : INFO : Epoch 1745 | loss: 0.0310999 | val_loss: 0.0311348 | Time: 17827.5 ms [2021-07-14 17:11:06 main:574] : INFO : Epoch 1746 | loss: 0.0311008 | val_loss: 0.0311331 | Time: 17393.9 ms [2021-07-14 17:11:23 main:574] : INFO : Epoch 1747 | loss: 0.0311003 | val_loss: 0.031137 | Time: 16500.9 ms [2021-07-14 17:11:40 main:574] : INFO : Epoch 1748 | loss: 0.0311003 | val_loss: 0.0311349 | Time: 15883.5 ms [2021-07-14 17:11:55 main:574] : INFO : Epoch 1749 | loss: 0.0311013 | val_loss: 0.0311328 | Time: 15094.1 ms [2021-07-14 17:12:10 main:574] : INFO : Epoch 1750 | loss: 0.0310988 | val_loss: 0.0311393 | Time: 14234.9 ms [2021-07-14 17:12:21 main:574] : INFO : Epoch 1751 | loss: 0.0310985 | val_loss: 0.0311389 | Time: 11221.5 ms [2021-07-14 17:12:30 main:574] : INFO : Epoch 1752 | loss: 0.0310998 | val_loss: 0.0311364 | Time: 8851.36 ms [2021-07-14 17:12:41 main:574] : INFO : Epoch 1753 | loss: 0.0310999 | val_loss: 0.0311317 | Time: 9948.41 ms [2021-07-14 17:12:51 main:574] : INFO : Epoch 1754 | loss: 0.0310985 | val_loss: 0.0311332 | Time: 9058.64 ms [2021-07-14 17:13:01 main:574] : INFO : Epoch 1755 | loss: 0.0310984 | val_loss: 0.0311326 | Time: 9598.65 ms [2021-07-14 17:13:11 main:574] : INFO : Epoch 1756 | loss: 0.0310965 | val_loss: 0.0311332 | Time: 9117.24 ms [2021-07-14 17:13:20 main:574] : INFO : Epoch 1757 | loss: 0.0310968 | val_loss: 0.0311343 | Time: 8945.52 ms [2021-07-14 17:13:30 main:574] : INFO : Epoch 1758 | loss: 0.0310998 | val_loss: 0.0311438 | Time: 9014.36 ms [2021-07-14 17:13:39 main:574] : INFO : Epoch 1759 | loss: 0.0310993 | val_loss: 0.0311326 | Time: 9070.11 ms [2021-07-14 17:13:49 main:574] : INFO : Epoch 1760 | loss: 0.0310958 | val_loss: 0.0311369 | Time: 9362.35 ms [2021-07-14 17:13:59 main:574] : INFO : Epoch 1761 | loss: 0.0310979 | val_loss: 0.0311325 | Time: 9252.66 ms [2021-07-14 17:14:09 main:574] : INFO : Epoch 1762 | loss: 0.0310953 | val_loss: 0.0311325 | Time: 9430.14 ms [2021-07-14 17:14:19 main:574] : INFO : Epoch 1763 | loss: 0.0310942 | val_loss: 0.0311375 | Time: 9319.29 ms [2021-07-14 17:14:29 main:574] : INFO : Epoch 1764 | loss: 0.0310949 | val_loss: 0.0311342 | Time: 9426.82 ms [2021-07-14 17:14:40 main:574] : INFO : Epoch 1765 | loss: 0.031095 | val_loss: 0.0311326 | Time: 9782.45 ms [2021-07-14 17:14:50 main:574] : INFO : Epoch 1766 | loss: 0.0310958 | val_loss: 0.0311344 | Time: 9923.66 ms [2021-07-14 17:15:01 main:574] : INFO : Epoch 1767 | loss: 0.0310975 | val_loss: 0.0311346 | Time: 9591.03 ms [2021-07-14 17:15:11 main:574] : INFO : Epoch 1768 | loss: 0.0311008 | val_loss: 0.0311335 | Time: 9677.3 ms [2021-07-14 17:15:21 main:574] : INFO : Epoch 1769 | loss: 0.0311023 | val_loss: 0.0311366 | Time: 9636.61 ms [2021-07-14 17:15:33 main:574] : INFO : Epoch 1770 | loss: 0.031101 | val_loss: 0.0311394 | Time: 12265.3 ms [2021-07-14 17:15:43 main:574] : INFO : Epoch 1771 | loss: 0.0310984 | val_loss: 0.0311352 | Time: 9696.29 ms [2021-07-14 17:15:54 main:574] : INFO : Epoch 1772 | loss: 0.0310965 | val_loss: 0.0311342 | Time: 9656.84 ms [2021-07-14 17:16:04 main:574] : INFO : Epoch 1773 | loss: 0.0310976 | val_loss: 0.0311329 | Time: 9991.06 ms [2021-07-14 17:16:18 main:574] : INFO : Epoch 1774 | loss: 0.0310973 | val_loss: 0.0311344 | Time: 12995.4 ms [2021-07-14 17:16:29 main:574] : INFO : Epoch 1775 | loss: 0.0310962 | val_loss: 0.0311347 | Time: 10357.9 ms [2021-07-14 17:16:39 main:574] : INFO : Epoch 1776 | loss: 0.0310971 | val_loss: 0.0311342 | Time: 10266 ms [2021-07-14 17:16:50 main:574] : INFO : Epoch 1777 | loss: 0.0310953 | val_loss: 0.0311366 | Time: 9996.49 ms [2021-07-14 17:17:00 main:574] : INFO : Epoch 1778 | loss: 0.0310953 | val_loss: 0.0311357 | Time: 10005.9 ms [2021-07-14 17:17:11 main:574] : INFO : Epoch 1779 | loss: 0.0310965 | val_loss: 0.0311366 | Time: 10349.7 ms [2021-07-14 17:17:22 main:574] : INFO : Epoch 1780 | loss: 0.031099 | val_loss: 0.0311375 | Time: 10751.8 ms [2021-07-14 17:17:44 main:574] : INFO : Epoch 1781 | loss: 0.0310962 | val_loss: 0.0311374 | Time: 22552.5 ms [2021-07-14 17:17:54 main:574] : INFO : Epoch 1782 | loss: 0.0310955 | val_loss: 0.0311386 | Time: 9077.79 ms [2021-07-14 17:18:04 main:574] : INFO : Epoch 1783 | loss: 0.0310962 | val_loss: 0.0311343 | Time: 9881.92 ms [2021-07-14 17:18:18 main:574] : INFO : Epoch 1784 | loss: 0.0310969 | val_loss: 0.0311393 | Time: 13127.3 ms [2021-07-14 17:18:33 main:574] : INFO : Epoch 1785 | loss: 0.0310969 | val_loss: 0.031137 | Time: 15040.7 ms [2021-07-14 17:18:49 main:574] : INFO : Epoch 1786 | loss: 0.0310965 | val_loss: 0.0311353 | Time: 15586.9 ms [2021-07-14 17:19:02 main:574] : INFO : Epoch 1787 | loss: 0.0310938 | val_loss: 0.0311369 | Time: 12549.7 ms [2021-07-14 17:19:14 main:574] : INFO : Epoch 1788 | loss: 0.0310957 | val_loss: 0.0311397 | Time: 12275.8 ms [2021-07-14 17:19:27 main:574] : INFO : Epoch 1789 | loss: 0.0310972 | val_loss: 0.0311385 | Time: 12270 ms [2021-07-14 17:19:39 main:574] : INFO : Epoch 1790 | loss: 0.0310969 | val_loss: 0.0311324 | Time: 12548.8 ms [2021-07-14 17:20:05 main:574] : INFO : Epoch 1791 | loss: 0.0310943 | val_loss: 0.0311422 | Time: 25351.2 ms [2021-07-14 17:20:15 main:574] : INFO : Epoch 1792 | loss: 0.0310937 | val_loss: 0.0311348 | Time: 9963.02 ms [2021-07-14 17:20:25 main:574] : INFO : Epoch 1793 | loss: 0.0310929 | val_loss: 0.0311386 | Time: 10210.2 ms [2021-07-14 17:20:34 main:574] : INFO : Epoch 1794 | loss: 0.0310931 | val_loss: 0.0311399 | Time: 8954.14 ms [2021-07-14 17:20:44 main:574] : INFO : Epoch 1795 | loss: 0.0310949 | val_loss: 0.0311421 | Time: 9370.24 ms [2021-07-14 17:20:54 main:574] : INFO : Epoch 1796 | loss: 0.0310928 | val_loss: 0.0311432 | Time: 10089.7 ms [2021-07-14 17:21:06 main:574] : INFO : Epoch 1797 | loss: 0.0310935 | val_loss: 0.031138 | Time: 12484.9 ms [2021-07-14 17:21:18 main:574] : INFO : Epoch 1798 | loss: 0.0310935 | val_loss: 0.0311367 | Time: 11511.7 ms [2021-07-14 17:21:28 main:574] : INFO : Epoch 1799 | loss: 0.0310937 | val_loss: 0.0311391 | Time: 10272 ms [2021-07-14 17:21:39 main:574] : INFO : Epoch 1800 | loss: 0.0310906 | val_loss: 0.0311394 | Time: 10889 ms [2021-07-14 17:22:03 main:574] : INFO : Epoch 1801 | loss: 0.0310981 | val_loss: 0.0311367 | Time: 23786.5 ms [2021-07-14 17:22:23 main:574] : INFO : Epoch 1802 | loss: 0.0311023 | val_loss: 0.0311431 | Time: 19481.5 ms [2021-07-14 17:22:34 main:574] : INFO : Epoch 1803 | loss: 0.0311001 | val_loss: 0.03114 | Time: 11177.4 ms [2021-07-14 17:22:46 main:574] : INFO : Epoch 1804 | loss: 0.0310987 | val_loss: 0.0311396 | Time: 11232.2 ms [2021-07-14 17:22:56 main:574] : INFO : Epoch 1805 | loss: 0.0310975 | val_loss: 0.0311385 | Time: 10530.8 ms [2021-07-14 17:23:07 main:574] : INFO : Epoch 1806 | loss: 0.0310987 | val_loss: 0.031135 | Time: 9980.86 ms [2021-07-14 17:23:17 main:574] : INFO : Epoch 1807 | loss: 0.0310965 | val_loss: 0.0311358 | Time: 9711.1 ms [2021-07-14 17:23:26 main:574] : INFO : Epoch 1808 | loss: 0.0310959 | val_loss: 0.0311352 | Time: 9374.73 ms [2021-07-14 17:23:36 main:574] : INFO : Epoch 1809 | loss: 0.0310955 | val_loss: 0.031134 | Time: 9438.8 ms [2021-07-14 17:23:46 main:574] : INFO : Epoch 1810 | loss: 0.0310963 | val_loss: 0.0311344 | Time: 9685.79 ms [2021-07-14 17:23:56 main:574] : INFO : Epoch 1811 | loss: 0.0310962 | val_loss: 0.0311349 | Time: 9692.2 ms [2021-07-14 17:24:06 main:574] : INFO : Epoch 1812 | loss: 0.031095 | val_loss: 0.0311344 | Time: 9881.34 ms [2021-07-14 17:24:15 main:574] : INFO : Epoch 1813 | loss: 0.0310965 | val_loss: 0.0311343 | Time: 9402.99 ms [2021-07-14 17:24:25 main:574] : INFO : Epoch 1814 | loss: 0.0310966 | val_loss: 0.0311368 | Time: 9778.25 ms [2021-07-14 17:24:36 main:574] : INFO : Epoch 1815 | loss: 0.0310958 | val_loss: 0.0311361 | Time: 10169.8 ms [2021-07-14 17:24:46 main:574] : INFO : Epoch 1816 | loss: 0.0310967 | val_loss: 0.0311417 | Time: 9846.34 ms [2021-07-14 17:24:56 main:574] : INFO : Epoch 1817 | loss: 0.031097 | val_loss: 0.0311437 | Time: 9942.01 ms [2021-07-14 17:25:06 main:574] : INFO : Epoch 1818 | loss: 0.0310982 | val_loss: 0.0311375 | Time: 9646.45 ms [2021-07-14 17:25:16 main:574] : INFO : Epoch 1819 | loss: 0.0310947 | val_loss: 0.031133 | Time: 9733.24 ms [2021-07-14 17:25:25 main:574] : INFO : Epoch 1820 | loss: 0.0310926 | val_loss: 0.0311366 | Time: 9387.31 ms [2021-07-14 17:25:34 main:574] : INFO : Epoch 1821 | loss: 0.0310919 | val_loss: 0.0311355 | Time: 9286.22 ms [2021-07-14 17:25:44 main:574] : INFO : Epoch 1822 | loss: 0.0310919 | val_loss: 0.0311381 | Time: 9331.99 ms [2021-07-14 17:25:53 main:574] : INFO : Epoch 1823 | loss: 0.0310902 | val_loss: 0.0311374 | Time: 9358.07 ms [2021-07-14 17:26:03 main:574] : INFO : Epoch 1824 | loss: 0.0310906 | val_loss: 0.0311386 | Time: 9505.61 ms [2021-07-14 17:26:13 main:574] : INFO : Epoch 1825 | loss: 0.031092 | val_loss: 0.0311375 | Time: 9793.18 ms [2021-07-14 17:26:22 main:574] : INFO : Epoch 1826 | loss: 0.031094 | val_loss: 0.0311397 | Time: 9549.93 ms [2021-07-14 17:26:32 main:574] : INFO : Epoch 1827 | loss: 0.0310947 | val_loss: 0.0311324 | Time: 9763.98 ms [2021-07-14 17:26:42 main:574] : INFO : Epoch 1828 | loss: 0.0310968 | val_loss: 0.0311342 | Time: 9529.37 ms [2021-07-14 17:26:52 main:574] : INFO : Epoch 1829 | loss: 0.031095 | val_loss: 0.0311356 | Time: 10003 ms [2021-07-14 17:27:02 main:574] : INFO : Epoch 1830 | loss: 0.0310988 | val_loss: 0.031138 | Time: 9909.07 ms [2021-07-14 17:27:12 main:574] : INFO : Epoch 1831 | loss: 0.0311005 | val_loss: 0.0311391 | Time: 9918.98 ms [2021-07-14 17:27:22 main:574] : INFO : Epoch 1832 | loss: 0.031097 | val_loss: 0.0311357 | Time: 10032.6 ms [2021-07-14 17:27:32 main:574] : INFO : Epoch 1833 | loss: 0.0310951 | val_loss: 0.0311346 | Time: 10239.3 ms [2021-07-14 17:27:42 main:574] : INFO : Epoch 1834 | loss: 0.0310956 | val_loss: 0.031136 | Time: 10091.6 ms [2021-07-14 17:27:53 main:574] : INFO : Epoch 1835 | loss: 0.0310937 | val_loss: 0.0311375 | Time: 10309.2 ms [2021-07-14 17:28:03 main:574] : INFO : Epoch 1836 | loss: 0.0310929 | val_loss: 0.0311443 | Time: 10144.4 ms [2021-07-14 17:28:13 main:574] : INFO : Epoch 1837 | loss: 0.0310969 | val_loss: 0.0311346 | Time: 10101.4 ms [2021-07-14 17:28:24 main:574] : INFO : Epoch 1838 | loss: 0.0310954 | val_loss: 0.0311369 | Time: 10452.5 ms [2021-07-14 17:28:34 main:574] : INFO : Epoch 1839 | loss: 0.0310935 | val_loss: 0.0311346 | Time: 10221.1 ms [2021-07-14 17:28:44 main:574] : INFO : Epoch 1840 | loss: 0.031094 | val_loss: 0.031141 | Time: 10250.9 ms [2021-07-14 17:28:57 main:574] : INFO : Epoch 1841 | loss: 0.0310925 | val_loss: 0.0311336 | Time: 13003.2 ms [2021-07-14 17:29:18 main:574] : INFO : Epoch 1842 | loss: 0.0310914 | val_loss: 0.0311392 | Time: 20406.5 ms [2021-07-14 17:29:27 main:574] : INFO : Epoch 1843 | loss: 0.0310963 | val_loss: 0.0311329 | Time: 9240.87 ms [2021-07-14 17:29:37 main:574] : INFO : Epoch 1844 | loss: 0.0310938 | val_loss: 0.0311324 | Time: 10019.8 ms [2021-07-14 17:29:48 main:574] : INFO : Epoch 1845 | loss: 0.0310907 | val_loss: 0.0311375 | Time: 10752.9 ms [2021-07-14 17:29:58 main:574] : INFO : Epoch 1846 | loss: 0.0310915 | val_loss: 0.031137 | Time: 10168.6 ms [2021-07-14 17:30:09 main:574] : INFO : Epoch 1847 | loss: 0.0310919 | val_loss: 0.0311366 | Time: 10409.4 ms [2021-07-14 17:30:19 main:574] : INFO : Epoch 1848 | loss: 0.0310899 | val_loss: 0.0311365 | Time: 10228.8 ms [2021-07-14 17:30:29 main:574] : INFO : Epoch 1849 | loss: 0.0310891 | val_loss: 0.0311351 | Time: 10293.9 ms [2021-07-14 17:30:40 main:574] : INFO : Epoch 1850 | loss: 0.0310885 | val_loss: 0.0311357 | Time: 10237.5 ms [2021-07-14 17:30:50 main:574] : INFO : Epoch 1851 | loss: 0.0310889 | val_loss: 0.0311379 | Time: 10223.9 ms [2021-07-14 17:31:00 main:574] : INFO : Epoch 1852 | loss: 0.0310895 | val_loss: 0.0311406 | Time: 10067.8 ms [2021-07-14 17:31:11 main:574] : INFO : Epoch 1853 | loss: 0.0310937 | val_loss: 0.0311384 | Time: 10600.1 ms [2021-07-14 17:31:21 main:574] : INFO : Epoch 1854 | loss: 0.0310949 | val_loss: 0.031132 | Time: 10250.3 ms [2021-07-14 17:31:31 main:574] : INFO : Epoch 1855 | loss: 0.0310927 | val_loss: 0.0311337 | Time: 10310.2 ms [2021-07-14 17:31:42 main:574] : INFO : Epoch 1856 | loss: 0.0310935 | val_loss: 0.0311365 | Time: 10216.1 ms [2021-07-14 17:31:52 main:574] : INFO : Epoch 1857 | loss: 0.0310912 | val_loss: 0.0311355 | Time: 10443.1 ms [2021-07-14 17:32:02 main:574] : INFO : Epoch 1858 | loss: 0.0310912 | val_loss: 0.031136 | Time: 10117.7 ms [2021-07-14 17:32:13 main:574] : INFO : Epoch 1859 | loss: 0.0310913 | val_loss: 0.0311336 | Time: 10239.1 ms [2021-07-14 17:32:23 main:574] : INFO : Epoch 1860 | loss: 0.0310894 | val_loss: 0.0311428 | Time: 10225.1 ms [2021-07-14 17:32:33 main:574] : INFO : Epoch 1861 | loss: 0.0310893 | val_loss: 0.0311392 | Time: 10248.1 ms [2021-07-14 17:32:44 main:574] : INFO : Epoch 1862 | loss: 0.0310906 | val_loss: 0.0311371 | Time: 10292.7 ms [2021-07-14 17:32:54 main:574] : INFO : Epoch 1863 | loss: 0.0310924 | val_loss: 0.0311381 | Time: 10392.7 ms [2021-07-14 17:33:04 main:574] : INFO : Epoch 1864 | loss: 0.0310943 | val_loss: 0.0311443 | Time: 10125.5 ms [2021-07-14 17:33:15 main:574] : INFO : Epoch 1865 | loss: 0.0310923 | val_loss: 0.0311391 | Time: 10247.4 ms [2021-07-14 17:33:25 main:574] : INFO : Epoch 1866 | loss: 0.0310896 | val_loss: 0.0311376 | Time: 10440.4 ms [2021-07-14 17:33:35 main:574] : INFO : Epoch 1867 | loss: 0.0310891 | val_loss: 0.0311372 | Time: 10231.6 ms [2021-07-14 17:33:46 main:574] : INFO : Epoch 1868 | loss: 0.0310891 | val_loss: 0.0311374 | Time: 10274.8 ms [2021-07-14 17:33:56 main:574] : INFO : Epoch 1869 | loss: 0.0310901 | val_loss: 0.0311418 | Time: 10315.6 ms [2021-07-14 17:34:07 main:574] : INFO : Epoch 1870 | loss: 0.0310919 | val_loss: 0.0311368 | Time: 10270.1 ms [2021-07-14 17:34:17 main:574] : INFO : Epoch 1871 | loss: 0.0310949 | val_loss: 0.0311357 | Time: 10209.4 ms [2021-07-14 17:34:27 main:574] : INFO : Epoch 1872 | loss: 0.0310923 | val_loss: 0.0311377 | Time: 10170.2 ms [2021-07-14 17:34:38 main:574] : INFO : Epoch 1873 | loss: 0.031092 | val_loss: 0.0311368 | Time: 10432.2 ms [2021-07-14 17:34:47 main:574] : INFO : Epoch 1874 | loss: 0.0310907 | val_loss: 0.0311354 | Time: 9931.52 ms [2021-07-14 17:34:58 main:574] : INFO : Epoch 1875 | loss: 0.0310911 | val_loss: 0.0311379 | Time: 10123.9 ms [2021-07-14 17:35:07 main:574] : INFO : Epoch 1876 | loss: 0.0310917 | val_loss: 0.0311368 | Time: 9655.49 ms [2021-07-14 17:35:17 main:574] : INFO : Epoch 1877 | loss: 0.0310923 | val_loss: 0.0311395 | Time: 9788.85 ms [2021-07-14 17:35:27 main:574] : INFO : Epoch 1878 | loss: 0.0310998 | val_loss: 0.0311361 | Time: 9537.09 ms [2021-07-14 17:35:36 main:574] : INFO : Epoch 1879 | loss: 0.0311041 | val_loss: 0.0311379 | Time: 9567.16 ms [2021-07-14 17:35:46 main:574] : INFO : Epoch 1880 | loss: 0.031103 | val_loss: 0.0311366 | Time: 9530.13 ms [2021-07-14 17:35:56 main:574] : INFO : Epoch 1881 | loss: 0.0311006 | val_loss: 0.0311346 | Time: 9893.41 ms [2021-07-14 17:36:06 main:574] : INFO : Epoch 1882 | loss: 0.0310993 | val_loss: 0.0311429 | Time: 9688.79 ms [2021-07-14 17:36:16 main:574] : INFO : Epoch 1883 | loss: 0.0311016 | val_loss: 0.0311356 | Time: 9886.77 ms [2021-07-14 17:36:26 main:574] : INFO : Epoch 1884 | loss: 0.0311001 | val_loss: 0.0311315 | Time: 9784.59 ms [2021-07-14 17:36:35 main:574] : INFO : Epoch 1885 | loss: 0.0310991 | val_loss: 0.031129 | Time: 9749.74 ms [2021-07-14 17:36:45 main:574] : INFO : Epoch 1886 | loss: 0.0310988 | val_loss: 0.0311372 | Time: 9711.03 ms [2021-07-14 17:36:55 main:574] : INFO : Epoch 1887 | loss: 0.0310967 | val_loss: 0.0311336 | Time: 9665.89 ms [2021-07-14 17:37:05 main:574] : INFO : Epoch 1888 | loss: 0.0310955 | val_loss: 0.0311302 | Time: 9778.28 ms [2021-07-14 17:37:15 main:574] : INFO : Epoch 1889 | loss: 0.0310948 | val_loss: 0.0311302 | Time: 10007.6 ms [2021-07-14 17:37:25 main:574] : INFO : Epoch 1890 | loss: 0.0310938 | val_loss: 0.0311305 | Time: 10069.9 ms [2021-07-14 17:37:35 main:574] : INFO : Epoch 1891 | loss: 0.0310944 | val_loss: 0.0311284 | Time: 9944.64 ms [2021-07-14 17:37:45 main:574] : INFO : Epoch 1892 | loss: 0.0310954 | val_loss: 0.0311296 | Time: 9852.81 ms [2021-07-14 17:37:55 main:574] : INFO : Epoch 1893 | loss: 0.0310942 | val_loss: 0.0311301 | Time: 9976.37 ms [2021-07-14 17:38:05 main:574] : INFO : Epoch 1894 | loss: 0.031094 | val_loss: 0.0311355 | Time: 10120.5 ms [2021-07-14 17:38:15 main:574] : INFO : Epoch 1895 | loss: 0.0310949 | val_loss: 0.0311287 | Time: 10071.5 ms [2021-07-14 17:38:25 main:574] : INFO : Epoch 1896 | loss: 0.0310925 | val_loss: 0.0311304 | Time: 10048.9 ms [2021-07-14 17:38:35 main:574] : INFO : Epoch 1897 | loss: 0.0310916 | val_loss: 0.0311297 | Time: 10016.7 ms [2021-07-14 17:38:45 main:574] : INFO : Epoch 1898 | loss: 0.0310962 | val_loss: 0.0311308 | Time: 9847.77 ms [2021-07-14 17:38:55 main:574] : INFO : Epoch 1899 | loss: 0.0310953 | val_loss: 0.0311309 | Time: 10049.7 ms [2021-07-14 17:39:05 main:574] : INFO : Epoch 1900 | loss: 0.0310972 | val_loss: 0.0311301 | Time: 10042 ms [2021-07-14 17:39:18 main:574] : INFO : Epoch 1901 | loss: 0.0311055 | val_loss: 0.0311298 | Time: 12653.2 ms [2021-07-14 17:39:29 main:574] : INFO : Epoch 1902 | loss: 0.0311032 | val_loss: 0.0311324 | Time: 10764.9 ms [2021-07-14 17:39:39 main:574] : INFO : Epoch 1903 | loss: 0.0311042 | val_loss: 0.0311331 | Time: 10380.2 ms [2021-07-14 17:39:49 main:574] : INFO : Epoch 1904 | loss: 0.0311023 | val_loss: 0.0311278 | Time: 10050.2 ms [2021-07-14 17:39:59 main:574] : INFO : Epoch 1905 | loss: 0.0310992 | val_loss: 0.0311289 | Time: 9655.15 ms [2021-07-14 17:40:09 main:574] : INFO : Epoch 1906 | loss: 0.0310986 | val_loss: 0.0311314 | Time: 9414.55 ms [2021-07-14 17:40:18 main:574] : INFO : Epoch 1907 | loss: 0.0310987 | val_loss: 0.0311326 | Time: 9614.06 ms [2021-07-14 17:40:28 main:574] : INFO : Epoch 1908 | loss: 0.0310977 | val_loss: 0.0311342 | Time: 9859.92 ms [2021-07-14 17:40:38 main:574] : INFO : Epoch 1909 | loss: 0.0310976 | val_loss: 0.0311333 | Time: 9670.86 ms [2021-07-14 17:40:48 main:574] : INFO : Epoch 1910 | loss: 0.0310974 | val_loss: 0.031129 | Time: 10288.8 ms [2021-07-14 17:40:59 main:574] : INFO : Epoch 1911 | loss: 0.0310987 | val_loss: 0.0311346 | Time: 10367.6 ms [2021-07-14 17:41:09 main:574] : INFO : Epoch 1912 | loss: 0.0311036 | val_loss: 0.0311304 | Time: 10364.4 ms [2021-07-14 17:41:20 main:574] : INFO : Epoch 1913 | loss: 0.0311053 | val_loss: 0.0311317 | Time: 10481.7 ms [2021-07-14 17:41:30 main:574] : INFO : Epoch 1914 | loss: 0.0311031 | val_loss: 0.0311319 | Time: 10585.8 ms [2021-07-14 17:41:41 main:574] : INFO : Epoch 1915 | loss: 0.0311022 | val_loss: 0.0311321 | Time: 10499.8 ms [2021-07-14 17:41:51 main:574] : INFO : Epoch 1916 | loss: 0.0311042 | val_loss: 0.0311283 | Time: 10495.6 ms [2021-07-14 17:42:02 main:574] : INFO : Epoch 1917 | loss: 0.0311033 | val_loss: 0.0311324 | Time: 10540.9 ms [2021-07-14 17:42:13 main:574] : INFO : Epoch 1918 | loss: 0.0311034 | val_loss: 0.0311292 | Time: 10662.8 ms [2021-07-14 17:42:23 main:574] : INFO : Epoch 1919 | loss: 0.0311011 | val_loss: 0.0311345 | Time: 10594 ms [2021-07-14 17:42:34 main:574] : INFO : Epoch 1920 | loss: 0.0310992 | val_loss: 0.0311312 | Time: 10537.9 ms [2021-07-14 17:42:45 main:574] : INFO : Epoch 1921 | loss: 0.0310991 | val_loss: 0.0311312 | Time: 10616.7 ms [2021-07-14 17:42:55 main:574] : INFO : Epoch 1922 | loss: 0.0311044 | val_loss: 0.0311282 | Time: 10753.6 ms [2021-07-14 17:43:06 main:574] : INFO : Epoch 1923 | loss: 0.0311037 | val_loss: 0.0311276 | Time: 10246.1 ms [2021-07-14 17:43:16 main:574] : INFO : Epoch 1924 | loss: 0.0311031 | val_loss: 0.0311271 | Time: 9876.64 ms [2021-07-14 17:43:26 main:574] : INFO : Epoch 1925 | loss: 0.0311088 | val_loss: 0.0311373 | Time: 9890.68 ms [2021-07-14 17:43:36 main:574] : INFO : Epoch 1926 | loss: 0.0311188 | val_loss: 0.031193 | Time: 9980.44 ms [2021-07-14 17:43:46 main:574] : INFO : Epoch 1927 | loss: 0.0505616 | val_loss: 0.0401897 | Time: 10063.7 ms [2021-07-14 17:43:56 main:574] : INFO : Epoch 1928 | loss: 0.0454848 | val_loss: 0.0321839 | Time: 10127.8 ms [2021-07-14 17:44:06 main:574] : INFO : Epoch 1929 | loss: 0.032333 | val_loss: 0.0316123 | Time: 9851.76 ms [2021-07-14 17:44:16 main:574] : INFO : Epoch 1930 | loss: 0.0314509 | val_loss: 0.0313229 | Time: 9723.62 ms [2021-07-14 17:44:26 main:574] : INFO : Epoch 1931 | loss: 0.0312808 | val_loss: 0.0312559 | Time: 10114.1 ms [2021-07-14 17:44:35 main:574] : INFO : Epoch 1932 | loss: 0.031245 | val_loss: 0.0312342 | Time: 9459.21 ms [2021-07-14 17:44:45 main:574] : INFO : Epoch 1933 | loss: 0.0312301 | val_loss: 0.0312248 | Time: 9747.7 ms [2021-07-14 17:44:56 main:574] : INFO : Epoch 1934 | loss: 0.0312193 | val_loss: 0.0312162 | Time: 10455.2 ms [2021-07-14 17:45:07 main:574] : INFO : Epoch 1935 | loss: 0.0312105 | val_loss: 0.0312084 | Time: 10848.7 ms [2021-07-14 17:45:17 main:574] : INFO : Epoch 1936 | loss: 0.0312032 | val_loss: 0.0312028 | Time: 10437.5 ms [2021-07-14 17:45:27 main:574] : INFO : Epoch 1937 | loss: 0.0311981 | val_loss: 0.0312016 | Time: 10284.2 ms [2021-07-14 17:45:38 main:574] : INFO : Epoch 1938 | loss: 0.0311948 | val_loss: 0.0311995 | Time: 10458.1 ms [2021-07-14 17:45:49 main:574] : INFO : Epoch 1939 | loss: 0.0311921 | val_loss: 0.0311951 | Time: 10525 ms [2021-07-14 17:45:59 main:574] : INFO : Epoch 1940 | loss: 0.0311916 | val_loss: 0.0311936 | Time: 10599 ms [2021-07-14 17:46:10 main:574] : INFO : Epoch 1941 | loss: 0.03119 | val_loss: 0.0311914 | Time: 10416.4 ms [2021-07-14 17:46:20 main:574] : INFO : Epoch 1942 | loss: 0.0311876 | val_loss: 0.031191 | Time: 10334.8 ms [2021-07-14 17:46:30 main:574] : INFO : Epoch 1943 | loss: 0.031186 | val_loss: 0.0311909 | Time: 9840.09 ms [2021-07-14 17:46:40 main:574] : INFO : Epoch 1944 | loss: 0.0311846 | val_loss: 0.0311915 | Time: 9925.7 ms [2021-07-14 17:46:50 main:574] : INFO : Epoch 1945 | loss: 0.0311848 | val_loss: 0.0311892 | Time: 9887.99 ms [2021-07-14 17:47:00 main:574] : INFO : Epoch 1946 | loss: 0.0311831 | val_loss: 0.0311871 | Time: 10127.6 ms [2021-07-14 17:47:10 main:574] : INFO : Epoch 1947 | loss: 0.0311823 | val_loss: 0.0311866 | Time: 9959.52 ms [2021-07-14 17:47:20 main:574] : INFO : Epoch 1948 | loss: 0.0311817 | val_loss: 0.0311862 | Time: 9919.12 ms [2021-07-14 17:47:30 main:574] : INFO : Epoch 1949 | loss: 0.0311823 | val_loss: 0.0311863 | Time: 9621.93 ms [2021-07-14 17:47:39 main:574] : INFO : Epoch 1950 | loss: 0.031181 | val_loss: 0.0311853 | Time: 9468.45 ms [2021-07-14 17:47:49 main:574] : INFO : Epoch 1951 | loss: 0.0311806 | val_loss: 0.0311851 | Time: 9653.91 ms [2021-07-14 17:47:59 main:574] : INFO : Epoch 1952 | loss: 0.0311799 | val_loss: 0.0311848 | Time: 10072.2 ms [2021-07-14 17:48:10 main:574] : INFO : Epoch 1953 | loss: 0.0311795 | val_loss: 0.031188 | Time: 10418.8 ms [2021-07-14 17:48:20 main:574] : INFO : Epoch 1954 | loss: 0.0311798 | val_loss: 0.0311852 | Time: 10411.9 ms [2021-07-14 17:48:31 main:574] : INFO : Epoch 1955 | loss: 0.0311793 | val_loss: 0.031185 | Time: 10521.4 ms [2021-07-14 17:48:41 main:574] : INFO : Epoch 1956 | loss: 0.0311789 | val_loss: 0.0311844 | Time: 10749.8 ms [2021-07-14 17:48:52 main:574] : INFO : Epoch 1957 | loss: 0.0311788 | val_loss: 0.0311839 | Time: 10894.2 ms [2021-07-14 17:49:02 main:574] : INFO : Epoch 1958 | loss: 0.0311786 | val_loss: 0.0311849 | Time: 10040.7 ms [2021-07-14 17:49:13 main:574] : INFO : Epoch 1959 | loss: 0.0311789 | val_loss: 0.0311839 | Time: 10031.3 ms [2021-07-14 17:49:25 main:574] : INFO : Epoch 1960 | loss: 0.0311782 | val_loss: 0.0311842 | Time: 12822.8 ms [2021-07-14 17:49:48 main:574] : INFO : Epoch 1961 | loss: 0.0311777 | val_loss: 0.0311838 | Time: 22827.9 ms [2021-07-14 17:49:57 main:574] : INFO : Epoch 1962 | loss: 0.0311778 | val_loss: 0.0311836 | Time: 8305.13 ms [2021-07-14 17:50:06 main:574] : INFO : Epoch 1963 | loss: 0.0311776 | val_loss: 0.0311835 | Time: 9036.52 ms [2021-07-14 17:50:16 main:574] : INFO : Epoch 1964 | loss: 0.0311774 | val_loss: 0.0311837 | Time: 10121.1 ms [2021-07-14 17:50:26 main:574] : INFO : Epoch 1965 | loss: 0.0311778 | val_loss: 0.0311839 | Time: 10401.7 ms [2021-07-14 17:50:37 main:574] : INFO : Epoch 1966 | loss: 0.0311775 | val_loss: 0.0311835 | Time: 10570.4 ms [2021-07-14 17:50:47 main:574] : INFO : Epoch 1967 | loss: 0.0311775 | val_loss: 0.0311838 | Time: 10088.4 ms [2021-07-14 17:50:57 main:574] : INFO : Epoch 1968 | loss: 0.031178 | val_loss: 0.0311827 | Time: 9765.76 ms [2021-07-14 17:51:07 main:574] : INFO : Epoch 1969 | loss: 0.0311775 | val_loss: 0.0311856 | Time: 9932.49 ms [2021-07-14 17:51:17 main:574] : INFO : Epoch 1970 | loss: 0.0311782 | val_loss: 0.0311829 | Time: 10097.1 ms [2021-07-14 17:51:27 main:574] : INFO : Epoch 1971 | loss: 0.031177 | val_loss: 0.0311824 | Time: 9985.21 ms [2021-07-14 17:51:37 main:574] : INFO : Epoch 1972 | loss: 0.0311783 | val_loss: 0.031187 | Time: 10117.3 ms [2021-07-14 17:51:47 main:574] : INFO : Epoch 1973 | loss: 0.031178 | val_loss: 0.0311827 | Time: 9456.42 ms [2021-07-14 17:51:56 main:574] : INFO : Epoch 1974 | loss: 0.0311767 | val_loss: 0.0311835 | Time: 9499.95 ms [2021-07-14 17:52:06 main:574] : INFO : Epoch 1975 | loss: 0.0311767 | val_loss: 0.0311821 | Time: 9902.19 ms [2021-07-14 17:52:17 main:574] : INFO : Epoch 1976 | loss: 0.0311762 | val_loss: 0.0311826 | Time: 10392.1 ms [2021-07-14 17:52:27 main:574] : INFO : Epoch 1977 | loss: 0.0311756 | val_loss: 0.0311822 | Time: 10616.5 ms [2021-07-14 17:52:38 main:574] : INFO : Epoch 1978 | loss: 0.0311764 | val_loss: 0.031182 | Time: 10425.4 ms [2021-07-14 17:52:49 main:574] : INFO : Epoch 1979 | loss: 0.0311761 | val_loss: 0.0311845 | Time: 10528.5 ms [2021-07-14 17:52:59 main:574] : INFO : Epoch 1980 | loss: 0.0311759 | val_loss: 0.031183 | Time: 10436.2 ms [2021-07-14 17:53:09 main:574] : INFO : Epoch 1981 | loss: 0.0311763 | val_loss: 0.0311828 | Time: 10037.4 ms [2021-07-14 17:53:19 main:574] : INFO : Epoch 1982 | loss: 0.0311751 | val_loss: 0.0311828 | Time: 9893.09 ms [2021-07-14 17:53:29 main:574] : INFO : Epoch 1983 | loss: 0.0311748 | val_loss: 0.0311821 | Time: 9985.71 ms [2021-07-14 17:53:39 main:574] : INFO : Epoch 1984 | loss: 0.0311748 | val_loss: 0.0311837 | Time: 9419.67 ms [2021-07-14 17:53:48 main:574] : INFO : Epoch 1985 | loss: 0.0311756 | val_loss: 0.0311829 | Time: 9561.05 ms [2021-07-14 17:53:57 main:574] : INFO : Epoch 1986 | loss: 0.0311742 | val_loss: 0.0311824 | Time: 8891.44 ms [2021-07-14 17:54:06 main:574] : INFO : Epoch 1987 | loss: 0.0311741 | val_loss: 0.0311824 | Time: 9007.5 ms [2021-07-14 17:54:15 main:574] : INFO : Epoch 1988 | loss: 0.0311737 | val_loss: 0.0311817 | Time: 8905.44 ms [2021-07-14 17:54:24 main:574] : INFO : Epoch 1989 | loss: 0.0311733 | val_loss: 0.0311817 | Time: 9020.12 ms [2021-07-14 17:54:33 main:574] : INFO : Epoch 1990 | loss: 0.0311731 | val_loss: 0.0311816 | Time: 8893.33 ms [2021-07-14 17:54:42 main:574] : INFO : Epoch 1991 | loss: 0.031173 | val_loss: 0.0311814 | Time: 9026.97 ms [2021-07-14 17:54:52 main:574] : INFO : Epoch 1992 | loss: 0.0311732 | val_loss: 0.0311818 | Time: 10103.5 ms [2021-07-14 17:55:02 main:574] : INFO : Epoch 1993 | loss: 0.0311724 | val_loss: 0.0311802 | Time: 9861.3 ms [2021-07-14 17:55:11 main:574] : INFO : Epoch 1994 | loss: 0.0311716 | val_loss: 0.0311791 | Time: 8789.78 ms [2021-07-14 17:55:20 main:574] : INFO : Epoch 1995 | loss: 0.0311708 | val_loss: 0.0311824 | Time: 8763.23 ms [2021-07-14 17:55:29 main:574] : INFO : Epoch 1996 | loss: 0.0311701 | val_loss: 0.0311771 | Time: 8737.23 ms [2021-07-14 17:55:38 main:574] : INFO : Epoch 1997 | loss: 0.0311704 | val_loss: 0.0311773 | Time: 8844.61 ms [2021-07-14 17:55:47 main:574] : INFO : Epoch 1998 | loss: 0.0311679 | val_loss: 0.0311767 | Time: 8699.62 ms [2021-07-14 17:55:55 main:574] : INFO : Epoch 1999 | loss: 0.0311674 | val_loss: 0.031176 | Time: 8699.58 ms [2021-07-14 17:56:04 main:574] : INFO : Epoch 2000 | loss: 0.0311673 | val_loss: 0.0311758 | Time: 8819.28 ms [2021-07-14 17:56:13 main:574] : INFO : Epoch 2001 | loss: 0.0311678 | val_loss: 0.0311764 | Time: 8864.32 ms [2021-07-14 17:56:22 main:574] : INFO : Epoch 2002 | loss: 0.0311676 | val_loss: 0.0311758 | Time: 8752.09 ms [2021-07-14 17:56:31 main:574] : INFO : Epoch 2003 | loss: 0.0311675 | val_loss: 0.0311763 | Time: 8729.67 ms [2021-07-14 17:56:40 main:574] : INFO : Epoch 2004 | loss: 0.0311669 | val_loss: 0.0311762 | Time: 9245.43 ms Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: NVIDIA GeForce GTX 1060 6GB) [2021-07-14 18:00:13 main:435] : INFO : Set logging level to 1 [2021-07-14 18:00:13 main:441] : INFO : Running in BOINC Client mode [2021-07-14 18:00:13 main:444] : INFO : Resolving all filenames [2021-07-14 18:00:13 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 (exists = 1) [2021-07-14 18:00:13 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/ParityMachine-1622599889-25597-3_0_r956996936_1 (exists = 1) [2021-07-14 18:00:14 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/ParityMachine-1622599889-25597-3_0_r956996936_0 (exists = 0) [2021-07-14 18:00:14 main:452] : INFO : Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/ParityMachine-1622599889-25597-3 (exists = 1) [2021-07-14 18:00:14 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1) [2021-07-14 18:00:14 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 [2021-07-14 18:00:14 main:474] : INFO : Configuration: [2021-07-14 18:00:14 main:475] : INFO : Model type: GRU [2021-07-14 18:00:14 main:476] : INFO : Validation Loss Threshold: 0.0001 [2021-07-14 18:00:14 main:477] : INFO : Max Epochs: 2048 [2021-07-14 18:00:14 main:478] : INFO : Batch Size: 128 [2021-07-14 18:00:14 main:479] : INFO : Learning Rate: 0.01 [2021-07-14 18:00:14 main:480] : INFO : Patience: 10 [2021-07-14 18:00:15 main:481] : INFO : Hidden Width: 12 [2021-07-14 18:00:15 main:482] : INFO : # Recurrent Layers: 4 Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: NVIDIA GeForce GTX 1060 6GB) [2021-07-14 19:54:28 main:435] : INFO : Set logging level to 1 [2021-07-14 19:54:28 main:441] : INFO : Running in BOINC Client mode [2021-07-14 19:54:28 main:444] : INFO : Resolving all filenames [2021-07-14 19:54:28 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 (exists = 1) [2021-07-14 19:54:29 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/ParityMachine-1622599889-25597-3_0_r956996936_1 (exists = 1) [2021-07-14 19:54:29 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/ParityMachine-1622599889-25597-3_0_r956996936_0 (exists = 0) [2021-07-14 19:54:29 main:452] : INFO : Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/ParityMachine-1622599889-25597-3 (exists = 1) [2021-07-14 19:54:29 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1) [2021-07-14 19:54:29 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 [2021-07-14 19:54:29 main:474] : INFO : Configuration: [2021-07-14 19:54:29 main:475] : INFO : Model type: GRU [2021-07-14 19:54:29 main:476] : INFO : Validation Loss Threshold: 0.0001 [2021-07-14 19:54:29 main:477] : INFO : Max Epochs: 2048 [2021-07-14 19:54:29 main:478] : INFO : Batch Size: 128 [2021-07-14 19:54:29 main:479] : INFO : Learning Rate: 0.01 [2021-07-14 19:54:29 main:480] : INFO : Patience: 10 [2021-07-14 19:54:29 main:481] : INFO : Hidden Width: 12 [2021-07-14 19:54:30 main:482] : INFO : # Recurrent Layers: 4 [2021-07-14 19:54:30 main:483] : INFO : # Backend Layers: 4 [2021-07-14 19:54:30 main:484] : INFO : # Threads: 1 [2021-07-14 19:54:30 main:486] : INFO : Preparing Dataset [2021-07-14 19:54:30 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 into memory [2021-07-14 19:54:30 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 into memory [2021-07-14 19:54:33 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2021-07-14 19:54:33 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 into memory [2021-07-14 19:54:33 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 into memory [2021-07-14 19:54:33 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2021-07-14 19:54:33 main:494] : INFO : Creating Model [2021-07-14 19:54:34 main:507] : INFO : Preparing config file [2021-07-14 19:54:34 main:511] : INFO : Found checkpoint, attempting to load... [2021-07-14 19:54:34 main:512] : INFO : Loading config [2021-07-14 19:54:34 main:514] : INFO : Loading state [2021-07-14 19:54:41 main:559] : INFO : Loading DataLoader into Memory [2021-07-14 19:54:41 main:562] : INFO : Starting Training [2021-07-14 19:54:53 main:574] : INFO : Epoch 1976 | loss: 0.0323206 | val_loss: 0.0314516 | Time: 11788.8 ms [2021-07-14 19:55:04 main:574] : INFO : Epoch 1977 | loss: 0.0313737 | val_loss: 0.0312579 | Time: 11515.7 ms [2021-07-14 19:55:25 main:574] : INFO : Epoch 1978 | loss: 0.0312701 | val_loss: 0.0312547 | Time: 21015.3 ms [2021-07-14 19:55:35 main:574] : INFO : Epoch 1979 | loss: 0.0312506 | val_loss: 0.0312472 | Time: 9969.4 ms [2021-07-14 19:55:45 main:574] : INFO : Epoch 1980 | loss: 0.0312457 | val_loss: 0.0312447 | Time: 9299.18 ms [2021-07-14 19:55:55 main:574] : INFO : Epoch 1981 | loss: 0.0312437 | val_loss: 0.0312424 | Time: 9417.62 ms [2021-07-14 19:56:05 main:574] : INFO : Epoch 1982 | loss: 0.0312415 | val_loss: 0.0312403 | Time: 10080.6 ms [2021-07-14 19:56:15 main:574] : INFO : Epoch 1983 | loss: 0.0312386 | val_loss: 0.0312361 | Time: 9719.57 ms [2021-07-14 19:56:23 main:574] : INFO : Epoch 1984 | loss: 0.0312338 | val_loss: 0.0312322 | Time: 8243.59 ms [2021-07-14 19:56:32 main:574] : INFO : Epoch 1985 | loss: 0.0312281 | val_loss: 0.0312248 | Time: 8650.23 ms [2021-07-14 19:56:42 main:574] : INFO : Epoch 1986 | loss: 0.0312189 | val_loss: 0.0312136 | Time: 9619.02 ms [2021-07-14 19:56:52 main:574] : INFO : Epoch 1987 | loss: 0.0312027 | val_loss: 0.0311963 | Time: 9827.57 ms [2021-07-14 19:57:01 main:574] : INFO : Epoch 1988 | loss: 0.0311888 | val_loss: 0.0311853 | Time: 9398.9 ms [2021-07-14 19:57:11 main:574] : INFO : Epoch 1989 | loss: 0.0311732 | val_loss: 0.0311683 | Time: 9412.82 ms [2021-07-14 19:57:19 main:574] : INFO : Epoch 1990 | loss: 0.0311636 | val_loss: 0.0311621 | Time: 8390.08 ms [2021-07-14 19:57:29 main:574] : INFO : Epoch 1991 | loss: 0.0311528 | val_loss: 0.0311552 | Time: 9901.18 ms [2021-07-14 19:57:39 main:574] : INFO : Epoch 1992 | loss: 0.0311507 | val_loss: 0.0311545 | Time: 10021.9 ms [2021-07-14 19:57:49 main:574] : INFO : Epoch 1993 | loss: 0.0311498 | val_loss: 0.0311552 | Time: 9954.58 ms [2021-07-14 19:57:59 main:574] : INFO : Epoch 1994 | loss: 0.0311474 | val_loss: 0.0311495 | Time: 9741.77 ms [2021-07-14 19:58:10 main:574] : INFO : Epoch 1995 | loss: 0.0311492 | val_loss: 0.0311579 | Time: 11106.7 ms [2021-07-14 19:58:20 main:574] : INFO : Epoch 1996 | loss: 0.0311611 | val_loss: 0.0311532 | Time: 9829.13 ms [2021-07-14 19:58:30 main:574] : INFO : Epoch 1997 | loss: 0.0311509 | val_loss: 0.031155 | Time: 9634.91 ms [2021-07-14 19:58:39 main:574] : INFO : Epoch 1998 | loss: 0.0311481 | val_loss: 0.0311526 | Time: 9591.97 ms [2021-07-14 19:58:49 main:574] : INFO : Epoch 1999 | loss: 0.0311469 | val_loss: 0.0311521 | Time: 9526.95 ms [2021-07-14 19:58:58 main:574] : INFO : Epoch 2000 | loss: 0.0311441 | val_loss: 0.0311598 | Time: 9496.22 ms [2021-07-14 19:59:08 main:574] : INFO : Epoch 2001 | loss: 0.0311463 | val_loss: 0.0311542 | Time: 9840.64 ms [2021-07-14 19:59:18 main:574] : INFO : Epoch 2002 | loss: 0.0311459 | val_loss: 0.0311479 | Time: 9751.91 ms [2021-07-14 19:59:28 main:574] : INFO : Epoch 2003 | loss: 0.0311413 | val_loss: 0.0311469 | Time: 9834.01 ms [2021-07-14 19:59:38 main:574] : INFO : Epoch 2004 | loss: 0.0311437 | val_loss: 0.0311476 | Time: 9964.46 ms [2021-07-14 19:59:48 main:574] : INFO : Epoch 2005 | loss: 0.0311423 | val_loss: 0.0311452 | Time: 9802.82 ms [2021-07-14 19:59:58 main:574] : INFO : Epoch 2006 | loss: 0.0311402 | val_loss: 0.0311475 | Time: 10005 ms [2021-07-14 20:00:08 main:574] : INFO : Epoch 2007 | loss: 0.0311456 | val_loss: 0.0311628 | Time: 9754.69 ms Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: NVIDIA GeForce GTX 1060 6GB) [2021-07-14 20:07:20 main:435] : INFO : Set logging level to 1 [2021-07-14 20:07:20 main:441] : INFO : Running in BOINC Client mode [2021-07-14 20:07:20 main:444] : INFO : Resolving all filenames [2021-07-14 20:07:20 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 (exists = 1) [2021-07-14 20:07:20 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/ParityMachine-1622599889-25597-3_0_r956996936_1 (exists = 1) [2021-07-14 20:07:20 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/ParityMachine-1622599889-25597-3_0_r956996936_0 (exists = 0) [2021-07-14 20:07:20 main:452] : INFO : Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/ParityMachine-1622599889-25597-3 (exists = 1) [2021-07-14 20:07:20 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1) [2021-07-14 20:07:21 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 [2021-07-14 20:07:21 main:474] : INFO : Configuration: [2021-07-14 20:07:21 main:475] : INFO : Model type: GRU [2021-07-14 20:07:21 main:476] : INFO : Validation Loss Threshold: 0.0001 [2021-07-14 20:07:21 main:477] : INFO : Max Epochs: 2048 [2021-07-14 20:07:21 main:478] : INFO : Batch Size: 128 [2021-07-14 20:07:21 main:479] : INFO : Learning Rate: 0.01 [2021-07-14 20:07:21 main:480] : INFO : Patience: 10 [2021-07-14 20:07:21 main:481] : INFO : Hidden Width: 12 [2021-07-14 20:07:21 main:482] : INFO : # Recurrent Layers: 4 [2021-07-14 20:07:21 main:483] : INFO : # Backend Layers: 4 [2021-07-14 20:07:21 main:484] : INFO : # Threads: 1 [2021-07-14 20:07:21 main:486] : INFO : Preparing Dataset [2021-07-14 20:07:21 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 into memory [2021-07-14 20:07:21 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 into memory [2021-07-14 20:07:23 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2021-07-14 20:07:23 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 into memory [2021-07-14 20:07:23 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 into memory [2021-07-14 20:07:23 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2021-07-14 20:07:23 main:494] : INFO : Creating Model [2021-07-14 20:07:23 main:507] : INFO : Preparing config file [2021-07-14 20:07:24 main:511] : INFO : Found checkpoint, attempting to load... [2021-07-14 20:07:24 main:512] : INFO : Loading config [2021-07-14 20:07:24 main:514] : INFO : Loading state [2021-07-14 20:07:24 main:559] : INFO : Loading DataLoader into Memory [2021-07-14 20:07:25 main:562] : INFO : Starting Training [2021-07-14 20:07:28 main:574] : INFO : Epoch 2005 | loss: 0.0332644 | val_loss: 0.0318645 | Time: 3888.85 ms [2021-07-14 20:07:37 main:574] : INFO : Epoch 2006 | loss: 0.0314821 | val_loss: 0.0313112 | Time: 8185.52 ms [2021-07-14 20:07:46 main:574] : INFO : Epoch 2007 | loss: 0.0312678 | val_loss: 0.0312297 | Time: 9672.55 ms [2021-07-14 20:07:57 main:574] : INFO : Epoch 2008 | loss: 0.0311969 | val_loss: 0.0311706 | Time: 10095.1 ms [2021-07-14 20:08:06 main:574] : INFO : Epoch 2009 | loss: 0.0311544 | val_loss: 0.0311579 | Time: 9334.06 ms [2021-07-14 20:08:15 main:574] : INFO : Epoch 2010 | loss: 0.0311479 | val_loss: 0.0311483 | Time: 9314.32 ms [2021-07-14 20:08:24 main:574] : INFO : Epoch 2011 | loss: 0.0311407 | val_loss: 0.0311444 | Time: 9040.23 ms [2021-07-14 20:08:33 main:574] : INFO : Epoch 2012 | loss: 0.031137 | val_loss: 0.0311439 | Time: 8762.69 ms [2021-07-14 20:08:42 main:574] : INFO : Epoch 2013 | loss: 0.0311366 | val_loss: 0.0311429 | Time: 8750.01 ms [2021-07-14 20:08:52 main:574] : INFO : Epoch 2014 | loss: 0.031135 | val_loss: 0.0311453 | Time: 9429.53 ms [2021-07-14 20:09:01 main:574] : INFO : Epoch 2015 | loss: 0.031135 | val_loss: 0.0311423 | Time: 9326.78 ms [2021-07-14 20:09:11 main:574] : INFO : Epoch 2016 | loss: 0.0311343 | val_loss: 0.0311419 | Time: 9705.9 ms [2021-07-14 20:09:20 main:574] : INFO : Epoch 2017 | loss: 0.0311323 | val_loss: 0.0311404 | Time: 9725.81 ms [2021-07-14 20:09:30 main:574] : INFO : Epoch 2018 | loss: 0.0311313 | val_loss: 0.0311417 | Time: 9229.56 ms [2021-07-14 20:09:39 main:574] : INFO : Epoch 2019 | loss: 0.0311309 | val_loss: 0.0311417 | Time: 9141.34 ms [2021-07-14 20:09:48 main:574] : INFO : Epoch 2020 | loss: 0.0311313 | val_loss: 0.0311412 | Time: 8893.18 ms [2021-07-14 20:09:57 main:574] : INFO : Epoch 2021 | loss: 0.0311283 | val_loss: 0.0311393 | Time: 9045.94 ms [2021-07-14 20:10:07 main:574] : INFO : Epoch 2022 | loss: 0.031128 | val_loss: 0.0311382 | Time: 9427.26 ms [2021-07-14 20:10:16 main:574] : INFO : Epoch 2023 | loss: 0.0311292 | val_loss: 0.0311387 | Time: 9064.23 ms [2021-07-14 20:10:26 main:574] : INFO : Epoch 2024 | loss: 0.0311284 | val_loss: 0.0311378 | Time: 10320.2 ms [2021-07-14 20:10:36 main:574] : INFO : Epoch 2025 | loss: 0.0311277 | val_loss: 0.0311379 | Time: 10137.4 ms [2021-07-14 20:10:46 main:574] : INFO : Epoch 2026 | loss: 0.031127 | val_loss: 0.0311367 | Time: 9889.34 ms [2021-07-14 20:11:05 main:574] : INFO : Epoch 2027 | loss: 0.0311298 | val_loss: 0.0311366 | Time: 19122.5 ms [2021-07-14 20:11:15 main:574] : INFO : Epoch 2028 | loss: 0.0311285 | val_loss: 0.0311393 | Time: 9828.37 ms [2021-07-14 20:11:24 main:574] : INFO : Epoch 2029 | loss: 0.0311299 | val_loss: 0.0311387 | Time: 9060.05 ms [2021-07-14 20:11:34 main:574] : INFO : Epoch 2030 | loss: 0.0311306 | val_loss: 0.0311352 | Time: 9483.3 ms [2021-07-14 20:11:44 main:574] : INFO : Epoch 2031 | loss: 0.031127 | val_loss: 0.0311355 | Time: 9505.24 ms [2021-07-14 20:11:54 main:574] : INFO : Epoch 2032 | loss: 0.0311283 | val_loss: 0.0311401 | Time: 10391.6 ms [2021-07-14 20:12:03 main:574] : INFO : Epoch 2033 | loss: 0.0311293 | val_loss: 0.0311385 | Time: 8862.7 ms [2021-07-14 20:12:11 main:574] : INFO : Epoch 2034 | loss: 0.0311254 | val_loss: 0.0311367 | Time: 8430.84 ms [2021-07-14 20:12:20 main:574] : INFO : Epoch 2035 | loss: 0.0311263 | val_loss: 0.0311404 | Time: 8657.43 ms [2021-07-14 20:12:29 main:574] : INFO : Epoch 2036 | loss: 0.0311264 | val_loss: 0.0311371 | Time: 8815.02 ms [2021-07-14 20:12:38 main:574] : INFO : Epoch 2037 | loss: 0.0311268 | val_loss: 0.0311389 | Time: 8489.67 ms [2021-07-14 20:12:46 main:574] : INFO : Epoch 2038 | loss: 0.0311283 | val_loss: 0.0311368 | Time: 8312.6 ms [2021-07-14 20:12:54 main:574] : INFO : Epoch 2039 | loss: 0.0311282 | val_loss: 0.0311367 | Time: 8138.65 ms [2021-07-14 20:13:03 main:574] : INFO : Epoch 2040 | loss: 0.031127 | val_loss: 0.0311371 | Time: 8476.57 ms [2021-07-14 20:13:11 main:574] : INFO : Epoch 2041 | loss: 0.0311319 | val_loss: 0.0311406 | Time: 8653.54 ms [2021-07-14 20:13:20 main:574] : INFO : Epoch 2042 | loss: 0.0311325 | val_loss: 0.0311385 | Time: 8526.9 ms [2021-07-14 20:13:28 main:574] : INFO : Epoch 2043 | loss: 0.0311278 | val_loss: 0.0311363 | Time: 7915.71 ms [2021-07-14 20:13:36 main:574] : INFO : Epoch 2044 | loss: 0.0311262 | val_loss: 0.0311355 | Time: 8231.58 ms [2021-07-14 20:13:45 main:574] : INFO : Epoch 2045 | loss: 0.0311236 | val_loss: 0.0311328 | Time: 8511.21 ms [2021-07-14 20:13:53 main:574] : INFO : Epoch 2046 | loss: 0.0311224 | val_loss: 0.0311322 | Time: 8267.75 ms [2021-07-14 20:14:01 main:574] : INFO : Epoch 2047 | loss: 0.0311212 | val_loss: 0.0311346 | Time: 8366.07 ms [2021-07-14 20:14:10 main:574] : INFO : Epoch 2048 | loss: 0.0311204 | val_loss: 0.0311316 | Time: 8260.83 ms [2021-07-14 20:14:10 main:597] : INFO : Saving trained model to model-final.pt, val_loss 0.0311316 [2021-07-14 20:14:10 main:603] : INFO : Saving end state to config to file [2021-07-14 20:14:10 main:608] : INFO : Success, exiting.. 20:14:10 (26688): called boinc_finish(0) </stderr_txt> ]]>
©2022 MLC@Home Team
A project of the Cognition, Robotics, and Learning (CORAL) Lab at the University of Maryland, Baltimore County (UMBC)