Task 8685720
| Name | ParityModified-1636181188-26781-0_0 |
| Workunit | 6170176 |
| Created | 6 Nov 2021, 6:46:29 UTC |
| Sent | 11 Nov 2021, 10:30:41 UTC |
| Report deadline | 19 Nov 2021, 10:30:41 UTC |
| Received | 14 Nov 2021, 6:46:58 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 11391 |
| Run time | 20 hours 57 min 5 sec |
| CPU time | 5 hours 21 min 10 sec |
| Validate state | Valid |
| Credit | 4,160.00 |
| Device peak FLOPS | 1,441.64 GFLOPS |
| Application version | Machine Learning Dataset Generator (GPU) v9.75 (cuda10200) windows_x86_64 |
| Peak working set size | 1.54 GB |
| Peak swap size | 3.44 GB |
| Peak disk usage | 1.54 GB |
Stderr output
<core_client_version>7.16.20</core_client_version> <![CDATA[ <stderr_txt> 0.4 ms [2021-11-12 06:10:50 main:574] : INFO : Epoch 1727 | loss: 0.0311818 | val_loss: 0.0311869 | Time: 25397.6 ms [2021-11-12 06:11:16 main:574] : INFO : Epoch 1728 | loss: 0.0311803 | val_loss: 0.0311882 | Time: 26441.2 ms [2021-11-12 06:11:41 main:574] : INFO : Epoch 1729 | loss: 0.0311806 | val_loss: 0.0311875 | Time: 23228.9 ms [2021-11-12 06:12:03 main:574] : INFO : Epoch 1730 | loss: 0.0311795 | val_loss: 0.0311853 | Time: 22053.3 ms [2021-11-12 06:12:26 main:574] : INFO : Epoch 1731 | loss: 0.0311808 | val_loss: 0.031187 | Time: 22888.4 ms [2021-11-12 06:12:50 main:574] : INFO : Epoch 1732 | loss: 0.0311806 | val_loss: 0.0311851 | Time: 22987.4 ms [2021-11-12 06:13:15 main:574] : INFO : Epoch 1733 | loss: 0.0311815 | val_loss: 0.0311861 | Time: 24959.7 ms [2021-11-12 06:13:37 main:574] : INFO : Epoch 1734 | loss: 0.0311817 | val_loss: 0.0311886 | Time: 21754.8 ms [2021-11-12 06:13:59 main:574] : INFO : Epoch 1735 | loss: 0.0311812 | val_loss: 0.0311856 | Time: 22348.7 ms [2021-11-12 06:14:22 main:574] : INFO : Epoch 1736 | loss: 0.0311805 | val_loss: 0.0311929 | Time: 21889.6 ms [2021-11-12 06:14:44 main:574] : INFO : Epoch 1737 | loss: 0.0311794 | val_loss: 0.0311867 | Time: 22262.6 ms [2021-11-12 06:15:07 main:574] : INFO : Epoch 1738 | loss: 0.0311789 | val_loss: 0.0311854 | Time: 22030.7 ms [2021-11-12 06:15:31 main:574] : INFO : Epoch 1739 | loss: 0.0311784 | val_loss: 0.0311855 | Time: 23675.7 ms [2021-11-12 06:15:53 main:574] : INFO : Epoch 1740 | loss: 0.0311812 | val_loss: 0.0311878 | Time: 21803.3 ms [2021-11-12 06:16:15 main:574] : INFO : Epoch 1741 | loss: 0.0311787 | val_loss: 0.0311857 | Time: 21847.8 ms [2021-11-12 06:16:37 main:574] : INFO : Epoch 1742 | loss: 0.0311779 | val_loss: 0.0311854 | Time: 21433.6 ms [2021-11-12 06:16:59 main:574] : INFO : Epoch 1743 | loss: 0.0311775 | val_loss: 0.0311857 | Time: 21979.7 ms [2021-11-12 06:17:20 main:574] : INFO : Epoch 1744 | loss: 0.0311773 | val_loss: 0.0311862 | Time: 21232.9 ms [2021-11-12 06:17:42 main:574] : INFO : Epoch 1745 | loss: 0.0311773 | val_loss: 0.0311849 | Time: 21565 ms [2021-11-12 06:18:03 main:574] : INFO : Epoch 1746 | loss: 0.0311776 | val_loss: 0.0311887 | Time: 21265.7 ms [2021-11-12 06:18:25 main:574] : INFO : Epoch 1747 | loss: 0.0311794 | val_loss: 0.0311985 | Time: 21549.9 ms [2021-11-12 06:18:46 main:574] : INFO : Epoch 1748 | loss: 0.0311814 | val_loss: 0.0311864 | Time: 20504.8 ms [2021-11-12 06:19:07 main:574] : INFO : Epoch 1749 | loss: 0.0311783 | val_loss: 0.0311899 | Time: 20641.7 ms [2021-11-12 06:19:28 main:574] : INFO : Epoch 1750 | loss: 0.0311777 | val_loss: 0.0311876 | Time: 20717.9 ms [2021-11-12 06:19:49 main:574] : INFO : Epoch 1751 | loss: 0.0311779 | val_loss: 0.0311854 | Time: 20637.1 ms [2021-11-12 06:20:09 main:574] : INFO : Epoch 1752 | loss: 0.0311786 | val_loss: 0.0311923 | Time: 20629.1 ms [2021-11-12 06:20:30 main:574] : INFO : Epoch 1753 | loss: 0.0311783 | val_loss: 0.0311884 | Time: 20683.7 ms [2021-11-12 06:20:51 main:574] : INFO : Epoch 1754 | loss: 0.0311775 | val_loss: 0.0311869 | Time: 20610.4 ms [2021-11-12 06:21:12 main:574] : INFO : Epoch 1755 | loss: 0.0311768 | val_loss: 0.0311851 | Time: 20618.3 ms [2021-11-12 06:21:33 main:574] : INFO : Epoch 1756 | loss: 0.031176 | val_loss: 0.0311863 | Time: 20810.6 ms [2021-11-12 06:21:56 main:574] : INFO : Epoch 1757 | loss: 0.0311793 | val_loss: 0.0311918 | Time: 23239.9 ms [2021-11-12 06:22:19 main:574] : INFO : Epoch 1758 | loss: 0.0311774 | val_loss: 0.0311875 | Time: 21915.8 ms [2021-11-12 06:22:39 main:574] : INFO : Epoch 1759 | loss: 0.0311756 | val_loss: 0.0311896 | Time: 20416.6 ms [2021-11-12 06:23:00 main:574] : INFO : Epoch 1760 | loss: 0.0311763 | val_loss: 0.0311868 | Time: 20685.7 ms [2021-11-12 06:23:21 main:574] : INFO : Epoch 1761 | loss: 0.0311763 | val_loss: 0.0311885 | Time: 20700.9 ms [2021-11-12 06:23:41 main:574] : INFO : Epoch 1762 | loss: 0.0311769 | val_loss: 0.0311894 | Time: 20297.5 ms [2021-11-12 06:24:02 main:574] : INFO : Epoch 1763 | loss: 0.0311786 | val_loss: 0.0311941 | Time: 20531.9 ms [2021-11-12 06:24:23 main:574] : INFO : Epoch 1764 | loss: 0.0311779 | val_loss: 0.0311903 | Time: 20544.7 ms [2021-11-12 06:24:43 main:574] : INFO : Epoch 1765 | loss: 0.0311783 | val_loss: 0.0311857 | Time: 20466.5 ms [2021-11-12 06:25:04 main:574] : INFO : Epoch 1766 | loss: 0.0311777 | val_loss: 0.0311925 | Time: 21019.8 ms [2021-11-12 06:25:27 main:574] : INFO : Epoch 1767 | loss: 0.0311806 | val_loss: 0.0312001 | Time: 22292.8 ms Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: NVIDIA GeForce GTX 950M) [2021-11-13 23:08:23 main:435] : INFO : Set logging level to 1 [2021-11-13 23:08:23 main:441] : INFO : Running in BOINC Client mode [2021-11-13 23:08:24 main:444] : INFO : Resolving all filenames [2021-11-13 23:08:24 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 (exists = 1) [2021-11-13 23:08:24 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1636181188-26781-0_0_r1925399568_1 (exists = 1) [2021-11-13 23:08:24 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1636181188-26781-0_0_r1925399568_0 (exists = 0) [2021-11-13 23:08:24 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 0) [2021-11-13 23:08:24 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1) [2021-11-13 23:08:24 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 [2021-11-13 23:08:24 main:474] : INFO : Configuration: [2021-11-13 23:08:24 main:475] : INFO : Model type: GRU [2021-11-13 23:08:24 main:476] : INFO : Validation Loss Threshold: 0.0001 [2021-11-13 23:08:24 main:477] : INFO : Max Epochs: 2048 [2021-11-13 23:08:25 main:478] : INFO : Batch Size: 128 [2021-11-13 23:08:25 main:479] : INFO : Learning Rate: 0.01 [2021-11-13 23:08:25 main:480] : INFO : Patience: 10 [2021-11-13 23:08:25 main:481] : INFO : Hidden Width: 12 [2021-11-13 23:08:25 main:482] : INFO : # Recurrent Layers: 4 [2021-11-13 23:08:25 main:483] : INFO : # Backend Layers: 4 [2021-11-13 23:08:25 main:484] : INFO : # Threads: 1 [2021-11-13 23:08:26 main:486] : INFO : Preparing Dataset [2021-11-13 23:08:26 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-11-13 23:08:32 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-11-13 23:10:06 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2021-11-13 23:10:06 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-11-13 23:10:08 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-11-13 23:10:10 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2021-11-13 23:10:10 main:494] : INFO : Creating Model [2021-11-13 23:10:11 main:507] : INFO : Preparing config file [2021-11-13 23:10:11 main:511] : INFO : Found checkpoint, attempting to load... [2021-11-13 23:10:11 main:512] : INFO : Loading config [2021-11-13 23:10:11 main:514] : INFO : Loading state [2021-11-13 23:10:49 main:559] : INFO : Loading DataLoader into Memory [2021-11-13 23:10:50 main:562] : INFO : Starting Training [2021-11-13 23:16:06 main:574] : INFO : Epoch 1768 | loss: 0.0317815 | val_loss: 0.0314099 | Time: 315502 ms [2021-11-13 23:19:23 main:574] : INFO : Epoch 1769 | loss: 0.0313003 | val_loss: 0.0312363 | Time: 190183 ms [2021-11-13 23:22:11 main:574] : INFO : Epoch 1770 | loss: 0.0312353 | val_loss: 0.0312156 | Time: 167913 ms [2021-11-13 23:23:48 main:574] : INFO : Epoch 1771 | loss: 0.0312032 | val_loss: 0.0311898 | Time: 95526.2 ms [2021-11-13 23:25:09 main:574] : INFO : Epoch 1772 | loss: 0.0311892 | val_loss: 0.031187 | Time: 80011.2 ms Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: NVIDIA GeForce GTX 950M) [2021-11-13 23:52:00 main:435] : INFO : Set logging level to 1 [2021-11-13 23:52:00 main:441] : INFO : Running in BOINC Client mode [2021-11-13 23:52:00 main:444] : INFO : Resolving all filenames [2021-11-13 23:52:01 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 (exists = 1) [2021-11-13 23:52:01 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1636181188-26781-0_0_r1925399568_1 (exists = 1) [2021-11-13 23:52:01 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1636181188-26781-0_0_r1925399568_0 (exists = 0) [2021-11-13 23:52:01 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 0) [2021-11-13 23:52:01 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1) [2021-11-13 23:52:01 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 [2021-11-13 23:52:02 main:474] : INFO : Configuration: [2021-11-13 23:52:02 main:475] : INFO : Model type: GRU [2021-11-13 23:52:02 main:476] : INFO : Validation Loss Threshold: 0.0001 [2021-11-13 23:52:02 main:477] : INFO : Max Epochs: 2048 [2021-11-13 23:52:02 main:478] : INFO : Batch Size: 128 [2021-11-13 23:52:02 main:479] : INFO : Learning Rate: 0.01 [2021-11-13 23:52:03 main:480] : INFO : Patience: 10 [2021-11-13 23:52:03 main:481] : INFO : Hidden Width: 12 [2021-11-13 23:52:03 main:482] : INFO : # Recurrent Layers: 4 [2021-11-13 23:52:03 main:483] : INFO : # Backend Layers: 4 [2021-11-13 23:52:04 main:484] : INFO : # Threads: 1 [2021-11-13 23:52:04 main:486] : INFO : Preparing Dataset [2021-11-13 23:52:04 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-11-13 23:52:09 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-11-13 23:53:52 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2021-11-13 23:53:55 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-11-13 23:54:29 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-11-13 23:55:30 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2021-11-13 23:55:31 main:494] : INFO : Creating Model [2021-11-13 23:55:31 main:507] : INFO : Preparing config file [2021-11-13 23:55:31 main:511] : INFO : Found checkpoint, attempting to load... [2021-11-13 23:55:32 main:512] : INFO : Loading config [2021-11-13 23:55:40 main:514] : INFO : Loading state [2021-11-13 23:58:33 main:559] : INFO : Loading DataLoader into Memory [2021-11-13 23:58:36 main:562] : INFO : Starting Training [2021-11-14 00:03:07 main:574] : INFO : Epoch 1771 | loss: 0.0331042 | val_loss: 0.0315357 | Time: 269111 ms [2021-11-14 00:04:55 main:574] : INFO : Epoch 1772 | loss: 0.0313957 | val_loss: 0.0312542 | Time: 106702 ms [2021-11-14 00:08:43 main:574] : INFO : Epoch 1773 | loss: 0.031255 | val_loss: 0.031227 | Time: 160035 ms [2021-11-14 00:10:57 main:574] : INFO : Epoch 1774 | loss: 0.0312066 | val_loss: 0.0311975 | Time: 130612 ms [2021-11-14 00:12:42 main:574] : INFO : Epoch 1775 | loss: 0.0311889 | val_loss: 0.0311873 | Time: 102845 ms [2021-11-14 00:14:59 main:574] : INFO : Epoch 1776 | loss: 0.0311845 | val_loss: 0.0311842 | Time: 132240 ms [2021-11-14 00:16:27 main:574] : INFO : Epoch 1777 | loss: 0.0311816 | val_loss: 0.0311827 | Time: 86676.7 ms [2021-11-14 00:17:26 main:574] : INFO : Epoch 1778 | loss: 0.0311792 | val_loss: 0.0311819 | Time: 53487.2 ms [2021-11-14 00:18:48 main:574] : INFO : Epoch 1779 | loss: 0.0311784 | val_loss: 0.0311798 | Time: 79991 ms [2021-11-14 00:21:02 main:574] : INFO : Epoch 1780 | loss: 0.03118 | val_loss: 0.0311809 | Time: 132282 ms [2021-11-14 00:22:00 main:574] : INFO : Epoch 1781 | loss: 0.03118 | val_loss: 0.0311791 | Time: 56637.3 ms [2021-11-14 00:22:57 main:574] : INFO : Epoch 1782 | loss: 0.0311785 | val_loss: 0.0311775 | Time: 56495.3 ms [2021-11-14 00:24:00 main:574] : INFO : Epoch 1783 | loss: 0.0311767 | val_loss: 0.0311792 | Time: 62762.6 ms [2021-11-14 00:24:30 main:574] : INFO : Epoch 1784 | loss: 0.0311757 | val_loss: 0.0311804 | Time: 28804.4 ms [2021-11-14 00:25:02 main:574] : INFO : Epoch 1785 | loss: 0.031174 | val_loss: 0.0311772 | Time: 30766.2 ms [2021-11-14 00:25:36 main:574] : INFO : Epoch 1786 | loss: 0.0311721 | val_loss: 0.0311753 | Time: 33759.8 ms [2021-11-14 00:26:04 main:574] : INFO : Epoch 1787 | loss: 0.0311704 | val_loss: 0.0311773 | Time: 28311 ms [2021-11-14 00:26:38 main:574] : INFO : Epoch 1788 | loss: 0.0311705 | val_loss: 0.0311805 | Time: 34031.3 ms Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: NVIDIA GeForce GTX 950M) [2021-11-14 00:52:23 main:435] : INFO : Set logging level to 1 [2021-11-14 00:52:23 main:441] : INFO : Running in BOINC Client mode [2021-11-14 00:52:23 main:444] : INFO : Resolving all filenames [2021-11-14 00:52:23 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 (exists = 1) [2021-11-14 00:52:24 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1636181188-26781-0_0_r1925399568_1 (exists = 1) [2021-11-14 00:52:24 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1636181188-26781-0_0_r1925399568_0 (exists = 0) [2021-11-14 00:52:24 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 0) [2021-11-14 00:52:24 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1) [2021-11-14 00:52:24 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 [2021-11-14 00:52:24 main:474] : INFO : Configuration: [2021-11-14 00:52:24 main:475] : INFO : Model type: GRU [2021-11-14 00:52:24 main:476] : INFO : Validation Loss Threshold: 0.0001 [2021-11-14 00:52:24 main:477] : INFO : Max Epochs: 2048 [2021-11-14 00:52:24 main:478] : INFO : Batch Size: 128 [2021-11-14 00:52:24 main:479] : INFO : Learning Rate: 0.01 [2021-11-14 00:52:24 main:480] : INFO : Patience: 10 [2021-11-14 00:52:24 main:481] : INFO : Hidden Width: 12 [2021-11-14 00:52:24 main:482] : INFO : # Recurrent Layers: 4 [2021-11-14 00:52:24 main:483] : INFO : # Backend Layers: 4 [2021-11-14 00:52:24 main:484] : INFO : # Threads: 1 [2021-11-14 00:52:24 main:486] : INFO : Preparing Dataset [2021-11-14 00:52:25 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-11-14 00:52:29 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: NVIDIA GeForce GTX 950M) [2021-11-14 01:16:11 main:435] : INFO : Set logging level to 1 [2021-11-14 01:16:11 main:441] : INFO : Running in BOINC Client mode [2021-11-14 01:16:11 main:444] : INFO : Resolving all filenames [2021-11-14 01:16:12 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 (exists = 1) [2021-11-14 01:16:12 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1636181188-26781-0_0_r1925399568_1 (exists = 1) [2021-11-14 01:16:12 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1636181188-26781-0_0_r1925399568_0 (exists = 0) [2021-11-14 01:16:13 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 0) [2021-11-14 01:16:13 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1) [2021-11-14 01:16:13 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 [2021-11-14 01:16:13 main:474] : INFO : Configuration: [2021-11-14 01:16:13 main:475] : INFO : Model type: GRU [2021-11-14 01:16:13 main:476] : INFO : Validation Loss Threshold: 0.0001 [2021-11-14 01:16:13 main:477] : INFO : Max Epochs: 2048 [2021-11-14 01:16:13 main:478] : INFO : Batch Size: 128 [2021-11-14 01:16:13 main:479] : INFO : Learning Rate: 0.01 [2021-11-14 01:16:13 main:480] : INFO : Patience: 10 [2021-11-14 01:16:13 main:481] : INFO : Hidden Width: 12 [2021-11-14 01:16:13 main:482] : INFO : # Recurrent Layers: 4 [2021-11-14 01:16:14 main:483] : INFO : # Backend Layers: 4 [2021-11-14 01:16:14 main:484] : INFO : # Threads: 1 [2021-11-14 01:16:14 main:486] : INFO : Preparing Dataset [2021-11-14 01:16:14 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-11-14 01:16:21 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-11-14 01:18:18 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2021-11-14 01:18:19 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-11-14 01:18:29 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-11-14 01:18:48 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2021-11-14 01:18:49 main:494] : INFO : Creating Model [2021-11-14 01:18:50 main:507] : INFO : Preparing config file [2021-11-14 01:18:53 main:511] : INFO : Found checkpoint, attempting to load... [2021-11-14 01:18:53 main:512] : INFO : Loading config [2021-11-14 01:18:56 main:514] : INFO : Loading state [2021-11-14 01:20:12 main:559] : INFO : Loading DataLoader into Memory [2021-11-14 01:20:28 main:562] : INFO : Starting Training [2021-11-14 01:23:32 main:574] : INFO : Epoch 1785 | loss: 0.0317844 | val_loss: 0.0313196 | Time: 182806 ms [2021-11-14 01:27:54 main:574] : INFO : Epoch 1786 | loss: 0.0313221 | val_loss: 0.0312657 | Time: 246214 ms [2021-11-14 01:29:21 main:574] : INFO : Epoch 1787 | loss: 0.0312598 | val_loss: 0.0312539 | Time: 79184.3 ms [2021-11-14 01:30:43 main:574] : INFO : Epoch 1788 | loss: 0.0312506 | val_loss: 0.0312473 | Time: 81445.2 ms [2021-11-14 01:33:33 main:574] : INFO : Epoch 1789 | loss: 0.0312455 | val_loss: 0.0312399 | Time: 170395 ms [2021-11-14 01:34:47 main:574] : INFO : Epoch 1790 | loss: 0.0312315 | val_loss: 0.0312157 | Time: 71826.2 ms [2021-11-14 01:37:19 main:574] : INFO : Epoch 1791 | loss: 0.0312067 | val_loss: 0.0311928 | Time: 147950 ms [2021-11-14 01:38:17 main:574] : INFO : Epoch 1792 | loss: 0.0311939 | val_loss: 0.031185 | Time: 56697.8 ms [2021-11-14 01:39:20 main:574] : INFO : Epoch 1793 | loss: 0.0311892 | val_loss: 0.0311844 | Time: 62036.3 ms [2021-11-14 01:40:12 main:574] : INFO : Epoch 1794 | loss: 0.0311863 | val_loss: 0.0311836 | Time: 50678.1 ms [2021-11-14 01:41:42 main:574] : INFO : Epoch 1795 | loss: 0.0311836 | val_loss: 0.0311813 | Time: 90429.8 ms [2021-11-14 01:43:24 main:574] : INFO : Epoch 1796 | loss: 0.0311824 | val_loss: 0.0311804 | Time: 96670.2 ms [2021-11-14 01:44:03 main:574] : INFO : Epoch 1797 | loss: 0.0311827 | val_loss: 0.0311919 | Time: 38745.6 ms [2021-11-14 01:44:38 main:574] : INFO : Epoch 1798 | loss: 0.0311838 | val_loss: 0.0311792 | Time: 35422.3 ms [2021-11-14 01:45:31 main:574] : INFO : Epoch 1799 | loss: 0.0311779 | val_loss: 0.0311819 | Time: 52842.9 ms [2021-11-14 01:47:41 main:574] : INFO : Epoch 1800 | loss: 0.0311812 | val_loss: 0.0311774 | Time: 127066 ms [2021-11-14 01:48:39 main:574] : INFO : Epoch 1801 | loss: 0.0311763 | val_loss: 0.031175 | Time: 55514.5 ms [2021-11-14 01:50:28 main:574] : INFO : Epoch 1802 | loss: 0.0311756 | val_loss: 0.0311787 | Time: 109108 ms [2021-11-14 01:51:22 main:574] : INFO : Epoch 1803 | loss: 0.0311745 | val_loss: 0.0311756 | Time: 51195.3 ms [2021-11-14 01:52:43 main:574] : INFO : Epoch 1804 | loss: 0.0311727 | val_loss: 0.0311756 | Time: 80907.2 ms [2021-11-14 01:54:30 main:574] : INFO : Epoch 1805 | loss: 0.0311716 | val_loss: 0.0311789 | Time: 107385 ms [2021-11-14 01:55:39 main:574] : INFO : Epoch 1806 | loss: 0.0311723 | val_loss: 0.0311736 | Time: 68175.5 ms [2021-11-14 01:56:42 main:574] : INFO : Epoch 1807 | loss: 0.0311718 | val_loss: 0.0311734 | Time: 61695.8 ms [2021-11-14 01:57:47 main:574] : INFO : Epoch 1808 | loss: 0.0311706 | val_loss: 0.0311735 | Time: 63840.2 ms [2021-11-14 01:58:15 main:574] : INFO : Epoch 1809 | loss: 0.0311688 | val_loss: 0.0311752 | Time: 27887.2 ms Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: NVIDIA GeForce GTX 950M) [2021-11-14 02:17:59 main:435] : INFO : Set logging level to 1 [2021-11-14 02:18:00 main:441] : INFO : Running in BOINC Client mode [2021-11-14 02:18:00 main:444] : INFO : Resolving all filenames [2021-11-14 02:18:00 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 (exists = 1) [2021-11-14 02:18:00 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1636181188-26781-0_0_r1925399568_1 (exists = 1) [2021-11-14 02:18:00 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1636181188-26781-0_0_r1925399568_0 (exists = 0) [2021-11-14 02:18:01 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 0) [2021-11-14 02:18:01 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1) [2021-11-14 02:18:01 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 [2021-11-14 02:18:02 main:474] : INFO : Configuration: [2021-11-14 02:18:02 main:475] : INFO : Model type: GRU [2021-11-14 02:18:02 main:476] : INFO : Validation Loss Threshold: 0.0001 [2021-11-14 02:18:03 main:477] : INFO : Max Epochs: 2048 [2021-11-14 02:18:03 main:478] : INFO : Batch Size: 128 [2021-11-14 02:18:03 main:479] : INFO : Learning Rate: 0.01 [2021-11-14 02:18:03 main:480] : INFO : Patience: 10 [2021-11-14 02:18:03 main:481] : INFO : Hidden Width: 12 [2021-11-14 02:18:03 main:482] : INFO : # Recurrent Layers: 4 [2021-11-14 02:18:04 main:483] : INFO : # Backend Layers: 4 [2021-11-14 02:18:05 main:484] : INFO : # Threads: 1 [2021-11-14 02:18:05 main:486] : INFO : Preparing Dataset [2021-11-14 02:18:06 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-11-14 02:18:22 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: NVIDIA GeForce GTX 950M) [2021-11-14 02:29:36 main:435] : INFO : Set logging level to 1 [2021-11-14 02:29:37 main:441] : INFO : Running in BOINC Client mode [2021-11-14 02:29:40 main:444] : INFO : Resolving all filenames [2021-11-14 02:29:40 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 (exists = 1) [2021-11-14 02:29:40 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1636181188-26781-0_0_r1925399568_1 (exists = 1) [2021-11-14 02:29:40 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1636181188-26781-0_0_r1925399568_0 (exists = 0) [2021-11-14 02:29:41 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 0) [2021-11-14 02:29:42 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1) [2021-11-14 02:29:42 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 [2021-11-14 02:29:43 main:474] : INFO : Configuration: [2021-11-14 02:29:44 main:475] : INFO : Model type: GRU [2021-11-14 02:29:44 main:476] : INFO : Validation Loss Threshold: 0.0001 [2021-11-14 02:29:44 main:477] : INFO : Max Epochs: 2048 [2021-11-14 02:29:45 main:478] : INFO : Batch Size: 128 [2021-11-14 02:29:45 main:479] : INFO : Learning Rate: 0.01 [2021-11-14 02:29:45 main:480] : INFO : Patience: 10 [2021-11-14 02:29:45 main:481] : INFO : Hidden Width: 12 [2021-11-14 02:29:45 main:482] : INFO : # Recurrent Layers: 4 [2021-11-14 02:29:46 main:483] : INFO : # Backend Layers: 4 [2021-11-14 02:29:46 main:484] : INFO : # Threads: 1 [2021-11-14 02:29:46 main:486] : INFO : Preparing Dataset [2021-11-14 02:29:46 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-11-14 02:30:02 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: NVIDIA GeForce GTX 950M) [2021-11-14 02:54:25 main:435] : INFO : Set logging level to 1 [2021-11-14 02:54:26 main:441] : INFO : Running in BOINC Client mode [2021-11-14 02:54:26 main:444] : INFO : Resolving all filenames [2021-11-14 02:54:26 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 (exists = 1) [2021-11-14 02:54:26 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1636181188-26781-0_0_r1925399568_1 (exists = 1) [2021-11-14 02:54:26 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1636181188-26781-0_0_r1925399568_0 (exists = 0) [2021-11-14 02:54:27 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 0) [2021-11-14 02:54:27 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1) [2021-11-14 02:54:27 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 [2021-11-14 02:54:27 main:474] : INFO : Configuration: [2021-11-14 02:54:27 main:475] : INFO : Model type: GRU [2021-11-14 02:54:27 main:476] : INFO : Validation Loss Threshold: 0.0001 [2021-11-14 02:54:27 main:477] : INFO : Max Epochs: 2048 [2021-11-14 02:54:28 main:478] : INFO : Batch Size: 128 [2021-11-14 02:54:28 main:479] : INFO : Learning Rate: 0.01 [2021-11-14 02:54:28 main:480] : INFO : Patience: 10 [2021-11-14 02:54:28 main:481] : INFO : Hidden Width: 12 [2021-11-14 02:54:30 main:482] : INFO : # Recurrent Layers: 4 [2021-11-14 02:54:30 main:483] : INFO : # Backend Layers: 4 [2021-11-14 02:54:30 main:484] : INFO : # Threads: 1 [2021-11-14 02:54:30 main:486] : INFO : Preparing Dataset [2021-11-14 02:54:32 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-11-14 02:54:47 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-11-14 02:57:11 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2021-11-14 02:57:12 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-11-14 02:57:14 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-11-14 02:57:22 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2021-11-14 02:57:22 main:494] : INFO : Creating Model [2021-11-14 02:57:22 main:507] : INFO : Preparing config file [2021-11-14 02:57:22 main:511] : INFO : Found checkpoint, attempting to load... [2021-11-14 02:57:23 main:512] : INFO : Loading config [2021-11-14 02:57:23 main:514] : INFO : Loading state [2021-11-14 02:58:05 main:559] : INFO : Loading DataLoader into Memory [2021-11-14 02:58:05 main:562] : INFO : Starting Training [2021-11-14 02:59:15 main:574] : INFO : Epoch 1810 | loss: 0.0315535 | val_loss: 0.0313139 | Time: 69237.3 ms [2021-11-14 03:00:05 main:574] : INFO : Epoch 1811 | loss: 0.0312811 | val_loss: 0.0312546 | Time: 49112.9 ms [2021-11-14 03:01:03 main:574] : INFO : Epoch 1812 | loss: 0.0312361 | val_loss: 0.0312192 | Time: 57017.8 ms [2021-11-14 03:02:40 main:574] : INFO : Epoch 1813 | loss: 0.0311975 | val_loss: 0.0311746 | Time: 96311.5 ms [2021-11-14 03:04:01 main:574] : INFO : Epoch 1814 | loss: 0.0311743 | val_loss: 0.0311747 | Time: 75353.4 ms [2021-11-14 03:05:40 main:574] : INFO : Epoch 1815 | loss: 0.0311702 | val_loss: 0.0311703 | Time: 97196.3 ms [2021-11-14 03:06:34 main:574] : INFO : Epoch 1816 | loss: 0.0311694 | val_loss: 0.0311705 | Time: 53193.1 ms [2021-11-14 03:07:50 main:574] : INFO : Epoch 1817 | loss: 0.031167 | val_loss: 0.0311717 | Time: 72520.8 ms [2021-11-14 03:09:04 main:574] : INFO : Epoch 1818 | loss: 0.0311666 | val_loss: 0.0311695 | Time: 72648 ms [2021-11-14 03:10:26 main:574] : INFO : Epoch 1819 | loss: 0.0311671 | val_loss: 0.0311705 | Time: 82132 ms [2021-11-14 03:11:44 main:574] : INFO : Epoch 1820 | loss: 0.0311678 | val_loss: 0.0311699 | Time: 73656.2 ms [2021-11-14 03:12:45 main:574] : INFO : Epoch 1821 | loss: 0.0311661 | val_loss: 0.0311748 | Time: 61178.6 ms [2021-11-14 03:13:14 main:574] : INFO : Epoch 1822 | loss: 0.0311644 | val_loss: 0.0311697 | Time: 28100.2 ms [2021-11-14 03:14:16 main:574] : INFO : Epoch 1823 | loss: 0.0311655 | val_loss: 0.0311756 | Time: 61909.6 ms [2021-11-14 03:15:20 main:574] : INFO : Epoch 1824 | loss: 0.031164 | val_loss: 0.0311725 | Time: 62420.1 ms [2021-11-14 03:16:36 main:574] : INFO : Epoch 1825 | loss: 0.0311603 | val_loss: 0.0311703 | Time: 74445.4 ms [2021-11-14 03:17:34 main:574] : INFO : Epoch 1826 | loss: 0.0311607 | val_loss: 0.031174 | Time: 55889.6 ms [2021-11-14 03:18:47 main:574] : INFO : Epoch 1827 | loss: 0.0311603 | val_loss: 0.0311692 | Time: 73169.4 ms [2021-11-14 03:20:16 main:574] : INFO : Epoch 1828 | loss: 0.0311594 | val_loss: 0.0311757 | Time: 83136.8 ms [2021-11-14 03:21:51 main:574] : INFO : Epoch 1829 | loss: 0.0311591 | val_loss: 0.0311721 | Time: 92829 ms [2021-11-14 03:23:16 main:574] : INFO : Epoch 1830 | loss: 0.0311571 | val_loss: 0.0311704 | Time: 82681.6 ms [2021-11-14 03:24:24 main:574] : INFO : Epoch 1831 | loss: 0.0311568 | val_loss: 0.031174 | Time: 64438.6 ms [2021-11-14 03:26:14 main:574] : INFO : Epoch 1832 | loss: 0.0311568 | val_loss: 0.0311727 | Time: 107105 ms [2021-11-14 03:27:31 main:574] : INFO : Epoch 1833 | loss: 0.0311565 | val_loss: 0.0311787 | Time: 76254.1 ms [2021-11-14 03:28:18 main:574] : INFO : Epoch 1834 | loss: 0.0311566 | val_loss: 0.0311725 | Time: 39185.1 ms [2021-11-14 03:29:32 main:574] : INFO : Epoch 1835 | loss: 0.0311558 | val_loss: 0.0311729 | Time: 74412 ms [2021-11-14 03:30:26 main:574] : INFO : Epoch 1836 | loss: 0.0311556 | val_loss: 0.0311758 | Time: 53563.5 ms [2021-11-14 03:31:30 main:574] : INFO : Epoch 1837 | loss: 0.0311579 | val_loss: 0.0311751 | Time: 63331.9 ms [2021-11-14 03:32:35 main:574] : INFO : Epoch 1838 | loss: 0.0311551 | val_loss: 0.0311741 | Time: 63983.3 ms [2021-11-14 03:33:48 main:574] : INFO : Epoch 1839 | loss: 0.0311544 | val_loss: 0.0311791 | Time: 72431.6 ms [2021-11-14 03:35:02 main:574] : INFO : Epoch 1840 | loss: 0.0311566 | val_loss: 0.0311785 | Time: 73159.4 ms [2021-11-14 03:35:59 main:574] : INFO : Epoch 1841 | loss: 0.031156 | val_loss: 0.0311774 | Time: 52528.6 ms [2021-11-14 03:37:05 main:574] : INFO : Epoch 1842 | loss: 0.0311589 | val_loss: 0.0311732 | Time: 66076.1 ms [2021-11-14 03:38:13 main:574] : INFO : Epoch 1843 | loss: 0.0311577 | val_loss: 0.0311741 | Time: 67426.3 ms [2021-11-14 03:39:28 main:574] : INFO : Epoch 1844 | loss: 0.0311531 | val_loss: 0.0311784 | Time: 74272.2 ms [2021-11-14 03:40:37 main:574] : INFO : Epoch 1845 | loss: 0.0311533 | val_loss: 0.0311736 | Time: 63437.6 ms [2021-11-14 03:41:35 main:574] : INFO : Epoch 1846 | loss: 0.031153 | val_loss: 0.0311779 | Time: 58184 ms [2021-11-14 03:43:03 main:574] : INFO : Epoch 1847 | loss: 0.0311529 | val_loss: 0.0311739 | Time: 87074 ms [2021-11-14 03:43:30 main:574] : INFO : Epoch 1848 | loss: 0.0311533 | val_loss: 0.0311751 | Time: 25971 ms [2021-11-14 03:44:28 main:574] : INFO : Epoch 1849 | loss: 0.0311537 | val_loss: 0.0311793 | Time: 57250 ms [2021-11-14 03:45:25 main:574] : INFO : Epoch 1850 | loss: 0.0311526 | val_loss: 0.031178 | Time: 57895.8 ms [2021-11-14 03:46:24 main:574] : INFO : Epoch 1851 | loss: 0.0311546 | val_loss: 0.0311836 | Time: 58448.3 ms [2021-11-14 03:47:42 main:574] : INFO : Epoch 1852 | loss: 0.0311562 | val_loss: 0.0311751 | Time: 71170.2 ms [2021-11-14 03:48:44 main:574] : INFO : Epoch 1853 | loss: 0.0311536 | val_loss: 0.0311734 | Time: 61830.1 ms [2021-11-14 03:49:57 main:574] : INFO : Epoch 1854 | loss: 0.0311505 | val_loss: 0.0311783 | Time: 72607.5 ms [2021-11-14 03:51:23 main:574] : INFO : Epoch 1855 | loss: 0.0311517 | val_loss: 0.0311789 | Time: 83228.3 ms [2021-11-14 03:52:34 main:574] : INFO : Epoch 1856 | loss: 0.0311545 | val_loss: 0.0311761 | Time: 70566.3 ms [2021-11-14 03:54:01 main:574] : INFO : Epoch 1857 | loss: 0.0311578 | val_loss: 0.0311712 | Time: 87579.8 ms [2021-11-14 03:55:35 main:574] : INFO : Epoch 1858 | loss: 0.0311517 | val_loss: 0.03118 | Time: 89070.5 ms [2021-11-14 03:57:03 main:574] : INFO : Epoch 1859 | loss: 0.031157 | val_loss: 0.0311764 | Time: 86170.6 ms [2021-11-14 03:58:12 main:574] : INFO : Epoch 1860 | loss: 0.0311666 | val_loss: 0.0311687 | Time: 68788.7 ms [2021-11-14 03:59:13 main:574] : INFO : Epoch 1861 | loss: 0.0311591 | val_loss: 0.0311705 | Time: 60615.9 ms [2021-11-14 04:00:49 main:574] : INFO : Epoch 1862 | loss: 0.0311595 | val_loss: 0.0311677 | Time: 95863.2 ms [2021-11-14 04:02:05 main:574] : INFO : Epoch 1863 | loss: 0.0311619 | val_loss: 0.0311712 | Time: 75624.3 ms [2021-11-14 04:03:09 main:574] : INFO : Epoch 1864 | loss: 0.0311576 | val_loss: 0.0311747 | Time: 59061.2 ms [2021-11-14 04:04:42 main:574] : INFO : Epoch 1865 | loss: 0.0311556 | val_loss: 0.0311738 | Time: 92945.5 ms [2021-11-14 04:07:02 main:574] : INFO : Epoch 1866 | loss: 0.0311548 | val_loss: 0.0311696 | Time: 137970 ms [2021-11-14 04:07:50 main:574] : INFO : Epoch 1867 | loss: 0.0311536 | val_loss: 0.0311758 | Time: 44318 ms [2021-11-14 04:09:07 main:574] : INFO : Epoch 1868 | loss: 0.0311517 | val_loss: 0.0311729 | Time: 77015.5 ms [2021-11-14 04:10:32 main:574] : INFO : Epoch 1869 | loss: 0.0311522 | val_loss: 0.0311785 | Time: 84738.7 ms [2021-11-14 04:11:53 main:574] : INFO : Epoch 1870 | loss: 0.0311513 | val_loss: 0.0311754 | Time: 77834.3 ms [2021-11-14 04:13:02 main:574] : INFO : Epoch 1871 | loss: 0.0311507 | val_loss: 0.0311786 | Time: 67839.2 ms [2021-11-14 04:13:47 main:574] : INFO : Epoch 1872 | loss: 0.0311529 | val_loss: 0.0311773 | Time: 45060.5 ms [2021-11-14 04:15:10 main:574] : INFO : Epoch 1873 | loss: 0.0311542 | val_loss: 0.0311749 | Time: 82604.3 ms [2021-11-14 04:16:07 main:574] : INFO : Epoch 1874 | loss: 0.0311528 | val_loss: 0.0311798 | Time: 54947.9 ms [2021-11-14 04:17:10 main:574] : INFO : Epoch 1875 | loss: 0.0311516 | val_loss: 0.0311713 | Time: 62023.3 ms [2021-11-14 04:18:06 main:574] : INFO : Epoch 1876 | loss: 0.0311508 | val_loss: 0.0311825 | Time: 55272.1 ms [2021-11-14 04:18:59 main:574] : INFO : Epoch 1877 | loss: 0.0311494 | val_loss: 0.0311808 | Time: 53186.9 ms [2021-11-14 04:19:48 main:574] : INFO : Epoch 1878 | loss: 0.0311488 | val_loss: 0.0311812 | Time: 48160.7 ms [2021-11-14 04:21:18 main:574] : INFO : Epoch 1879 | loss: 0.0311485 | val_loss: 0.0311733 | Time: 86990.3 ms [2021-11-14 04:22:45 main:574] : INFO : Epoch 1880 | loss: 0.0311527 | val_loss: 0.0311767 | Time: 84486 ms [2021-11-14 04:25:03 main:574] : INFO : Epoch 1881 | loss: 0.0311522 | val_loss: 0.0311806 | Time: 133186 ms [2021-11-14 04:26:29 main:574] : INFO : Epoch 1882 | loss: 0.0311548 | val_loss: 0.031179 | Time: 85612.9 ms [2021-11-14 04:27:45 main:574] : INFO : Epoch 1883 | loss: 0.0311572 | val_loss: 0.0311783 | Time: 70118.3 ms [2021-11-14 04:28:15 main:574] : INFO : Epoch 1884 | loss: 0.0311513 | val_loss: 0.0311776 | Time: 28529.4 ms [2021-11-14 04:29:35 main:574] : INFO : Epoch 1885 | loss: 0.0311489 | val_loss: 0.0311802 | Time: 79296.4 ms [2021-11-14 04:30:58 main:574] : INFO : Epoch 1886 | loss: 0.031149 | val_loss: 0.0311787 | Time: 81224.7 ms [2021-11-14 04:32:24 main:574] : INFO : Epoch 1887 | loss: 0.0311535 | val_loss: 0.0311773 | Time: 80895.6 ms [2021-11-14 04:33:51 main:574] : INFO : Epoch 1888 | loss: 0.0311514 | val_loss: 0.0311789 | Time: 87135.5 ms [2021-11-14 04:35:35 main:574] : INFO : Epoch 1889 | loss: 0.0311486 | val_loss: 0.0311812 | Time: 103887 ms [2021-11-14 04:36:54 main:574] : INFO : Epoch 1890 | loss: 0.031148 | val_loss: 0.0311808 | Time: 72852 ms [2021-11-14 04:38:04 main:574] : INFO : Epoch 1891 | loss: 0.0311504 | val_loss: 0.0311755 | Time: 69645.5 ms [2021-11-14 04:39:19 main:574] : INFO : Epoch 1892 | loss: 0.0311475 | val_loss: 0.0311758 | Time: 75170.2 ms [2021-11-14 04:40:29 main:574] : INFO : Epoch 1893 | loss: 0.0311451 | val_loss: 0.03118 | Time: 66828.1 ms [2021-11-14 04:41:46 main:574] : INFO : Epoch 1894 | loss: 0.0311456 | val_loss: 0.0311917 | Time: 76634 ms [2021-11-14 04:43:00 main:574] : INFO : Epoch 1895 | loss: 0.0311485 | val_loss: 0.0311822 | Time: 73426.2 ms [2021-11-14 04:43:28 main:574] : INFO : Epoch 1896 | loss: 0.0311479 | val_loss: 0.0311927 | Time: 27700.4 ms [2021-11-14 04:44:47 main:574] : INFO : Epoch 1897 | loss: 0.0311457 | val_loss: 0.0311834 | Time: 78511.3 ms [2021-11-14 04:46:09 main:574] : INFO : Epoch 1898 | loss: 0.0311475 | val_loss: 0.0311794 | Time: 82211.3 ms [2021-11-14 04:47:21 main:574] : INFO : Epoch 1899 | loss: 0.0311495 | val_loss: 0.0311805 | Time: 71711.3 ms [2021-11-14 04:48:27 main:574] : INFO : Epoch 1900 | loss: 0.0311477 | val_loss: 0.0311757 | Time: 62890.7 ms [2021-11-14 04:49:44 main:574] : INFO : Epoch 1901 | loss: 0.0311482 | val_loss: 0.0311816 | Time: 76381.2 ms [2021-11-14 04:50:51 main:574] : INFO : Epoch 1902 | loss: 0.0311478 | val_loss: 0.0311822 | Time: 66633.2 ms [2021-11-14 04:52:18 main:574] : INFO : Epoch 1903 | loss: 0.0311465 | val_loss: 0.0311853 | Time: 83836.3 ms [2021-11-14 04:53:29 main:574] : INFO : Epoch 1904 | loss: 0.0311448 | val_loss: 0.0311887 | Time: 70600.7 ms [2021-11-14 04:54:29 main:574] : INFO : Epoch 1905 | loss: 0.0311467 | val_loss: 0.0311816 | Time: 60160.8 ms [2021-11-14 04:55:44 main:574] : INFO : Epoch 1906 | loss: 0.031145 | val_loss: 0.0311815 | Time: 74010.1 ms [2021-11-14 04:57:06 main:574] : INFO : Epoch 1907 | loss: 0.0311491 | val_loss: 0.0311772 | Time: 81389.9 ms [2021-11-14 04:58:08 main:574] : INFO : Epoch 1908 | loss: 0.0311532 | val_loss: 0.0311795 | Time: 60540.7 ms [2021-11-14 04:58:59 main:574] : INFO : Epoch 1909 | loss: 0.0311506 | val_loss: 0.0311764 | Time: 50134.5 ms [2021-11-14 05:00:30 main:574] : INFO : Epoch 1910 | loss: 0.0311465 | val_loss: 0.0311751 | Time: 89740.6 ms [2021-11-14 05:01:28 main:574] : INFO : Epoch 1911 | loss: 0.0311489 | val_loss: 0.0311972 | Time: 57133 ms [2021-11-14 05:02:43 main:574] : INFO : Epoch 1912 | loss: 0.0311453 | val_loss: 0.0311752 | Time: 75028.4 ms [2021-11-14 05:04:08 main:574] : INFO : Epoch 1913 | loss: 0.0311459 | val_loss: 0.0311731 | Time: 84154 ms [2021-11-14 05:05:42 main:574] : INFO : Epoch 1914 | loss: 0.0311456 | val_loss: 0.0311727 | Time: 93428.2 ms [2021-11-14 05:06:50 main:574] : INFO : Epoch 1915 | loss: 0.0311449 | val_loss: 0.0311808 | Time: 66979.5 ms [2021-11-14 05:07:53 main:574] : INFO : Epoch 1916 | loss: 0.0311511 | val_loss: 0.0311751 | Time: 61362.3 ms [2021-11-14 05:08:52 main:574] : INFO : Epoch 1917 | loss: 0.0311504 | val_loss: 0.0311744 | Time: 58602.2 ms [2021-11-14 05:10:01 main:574] : INFO : Epoch 1918 | loss: 0.0311459 | val_loss: 0.0311816 | Time: 67800.1 ms [2021-11-14 05:11:22 main:574] : INFO : Epoch 1919 | loss: 0.0311467 | val_loss: 0.0311844 | Time: 81413.5 ms [2021-11-14 05:12:32 main:574] : INFO : Epoch 1920 | loss: 0.0311508 | val_loss: 0.0311785 | Time: 66253.7 ms [2021-11-14 05:13:10 main:574] : INFO : Epoch 1921 | loss: 0.0311578 | val_loss: 0.0311754 | Time: 38599.8 ms [2021-11-14 05:14:19 main:574] : INFO : Epoch 1922 | loss: 0.0311669 | val_loss: 0.0311741 | Time: 68451.9 ms [2021-11-14 05:15:47 main:574] : INFO : Epoch 1923 | loss: 0.0311647 | val_loss: 0.0311706 | Time: 88307.3 ms [2021-11-14 05:16:42 main:574] : INFO : Epoch 1924 | loss: 0.0311639 | val_loss: 0.0311843 | Time: 52304.3 ms [2021-11-14 05:18:10 main:574] : INFO : Epoch 1925 | loss: 0.03116 | val_loss: 0.0311697 | Time: 86784.8 ms [2021-11-14 05:19:23 main:574] : INFO : Epoch 1926 | loss: 0.0311539 | val_loss: 0.0311738 | Time: 70291.7 ms [2021-11-14 05:20:49 main:574] : INFO : Epoch 1927 | loss: 0.0311546 | val_loss: 0.0311738 | Time: 83237.3 ms [2021-11-14 05:22:09 main:574] : INFO : Epoch 1928 | loss: 0.0311517 | val_loss: 0.0311705 | Time: 80186.9 ms [2021-11-14 05:23:35 main:574] : INFO : Epoch 1929 | loss: 0.0311496 | val_loss: 0.0311734 | Time: 84870.1 ms [2021-11-14 05:24:46 main:574] : INFO : Epoch 1930 | loss: 0.0311503 | val_loss: 0.0311736 | Time: 68252.3 ms [2021-11-14 05:26:14 main:574] : INFO : Epoch 1931 | loss: 0.0311489 | val_loss: 0.031174 | Time: 88310 ms [2021-11-14 05:27:30 main:574] : INFO : Epoch 1932 | loss: 0.0311484 | val_loss: 0.0311695 | Time: 75313.1 ms [2021-11-14 05:28:14 main:574] : INFO : Epoch 1933 | loss: 0.0311459 | val_loss: 0.0311793 | Time: 36720 ms [2021-11-14 05:29:16 main:574] : INFO : Epoch 1934 | loss: 0.0311476 | val_loss: 0.0311754 | Time: 61056.4 ms [2021-11-14 05:30:10 main:574] : INFO : Epoch 1935 | loss: 0.0311496 | val_loss: 0.0311728 | Time: 53823.5 ms [2021-11-14 05:31:21 main:574] : INFO : Epoch 1936 | loss: 0.0311501 | val_loss: 0.0311773 | Time: 71317.1 ms [2021-11-14 05:32:37 main:574] : INFO : Epoch 1937 | loss: 0.0311498 | val_loss: 0.0311781 | Time: 74738 ms [2021-11-14 05:33:45 main:574] : INFO : Epoch 1938 | loss: 0.0311467 | val_loss: 0.0311758 | Time: 67416.1 ms [2021-11-14 05:35:18 main:574] : INFO : Epoch 1939 | loss: 0.0311478 | val_loss: 0.0311772 | Time: 92736 ms [2021-11-14 05:36:53 main:574] : INFO : Epoch 1940 | loss: 0.0311449 | val_loss: 0.0311709 | Time: 88299.9 ms [2021-11-14 05:37:53 main:574] : INFO : Epoch 1941 | loss: 0.0311444 | val_loss: 0.0311781 | Time: 59633.8 ms [2021-11-14 05:38:51 main:574] : INFO : Epoch 1942 | loss: 0.0311453 | val_loss: 0.0311761 | Time: 56223.4 ms [2021-11-14 05:40:05 main:574] : INFO : Epoch 1943 | loss: 0.0311461 | val_loss: 0.0311778 | Time: 68969.7 ms [2021-11-14 05:41:15 main:574] : INFO : Epoch 1944 | loss: 0.0311478 | val_loss: 0.0311808 | Time: 70524.5 ms [2021-11-14 05:42:35 main:574] : INFO : Epoch 1945 | loss: 0.0311496 | val_loss: 0.0311774 | Time: 80025.9 ms [2021-11-14 05:43:16 main:574] : INFO : Epoch 1946 | loss: 0.0311475 | val_loss: 0.0311838 | Time: 37718.2 ms [2021-11-14 05:44:23 main:574] : INFO : Epoch 1947 | loss: 0.0311437 | val_loss: 0.0311794 | Time: 66907.9 ms [2021-11-14 05:45:49 main:574] : INFO : Epoch 1948 | loss: 0.0311466 | val_loss: 0.0311847 | Time: 85960.8 ms [2021-11-14 05:46:53 main:574] : INFO : Epoch 1949 | loss: 0.0311469 | val_loss: 0.0311737 | Time: 63539.7 ms [2021-11-14 05:48:10 main:574] : INFO : Epoch 1950 | loss: 0.0311423 | val_loss: 0.0311838 | Time: 72675.8 ms [2021-11-14 05:49:06 main:574] : INFO : Epoch 1951 | loss: 0.0311418 | val_loss: 0.0311785 | Time: 55976.8 ms [2021-11-14 05:50:20 main:574] : INFO : Epoch 1952 | loss: 0.0311452 | val_loss: 0.0311753 | Time: 72941.6 ms [2021-11-14 05:51:21 main:574] : INFO : Epoch 1953 | loss: 0.0311452 | val_loss: 0.0311773 | Time: 58407.3 ms [2021-11-14 05:52:41 main:574] : INFO : Epoch 1954 | loss: 0.0311435 | val_loss: 0.0311759 | Time: 78294.5 ms [2021-11-14 05:53:38 main:574] : INFO : Epoch 1955 | loss: 0.0311459 | val_loss: 0.0311901 | Time: 56677.6 ms [2021-11-14 05:54:30 main:574] : INFO : Epoch 1956 | loss: 0.0311414 | val_loss: 0.0311815 | Time: 52110.1 ms [2021-11-14 05:55:36 main:574] : INFO : Epoch 1957 | loss: 0.0311395 | val_loss: 0.0311765 | Time: 60594.9 ms [2021-11-14 05:56:47 main:574] : INFO : Epoch 1958 | loss: 0.0311393 | val_loss: 0.0311809 | Time: 70681.5 ms [2021-11-14 05:58:01 main:574] : INFO : Epoch 1959 | loss: 0.0311432 | val_loss: 0.0311768 | Time: 72923.3 ms [2021-11-14 05:58:31 main:574] : INFO : Epoch 1960 | loss: 0.0311448 | val_loss: 0.0311848 | Time: 26846.4 ms [2021-11-14 05:59:47 main:574] : INFO : Epoch 1961 | loss: 0.0311461 | val_loss: 0.0311811 | Time: 74936.2 ms [2021-11-14 06:01:07 main:574] : INFO : Epoch 1962 | loss: 0.0311413 | val_loss: 0.0311749 | Time: 79203.5 ms [2021-11-14 06:02:25 main:574] : INFO : Epoch 1963 | loss: 0.0311412 | val_loss: 0.0311836 | Time: 77533.2 ms [2021-11-14 06:03:52 main:574] : INFO : Epoch 1964 | loss: 0.0311396 | val_loss: 0.0311809 | Time: 82173.6 ms [2021-11-14 06:05:03 main:574] : INFO : Epoch 1965 | loss: 0.0311371 | val_loss: 0.031179 | Time: 68540.6 ms [2021-11-14 06:05:59 main:574] : INFO : Epoch 1966 | loss: 0.0311349 | val_loss: 0.0311834 | Time: 53402.4 ms [2021-11-14 06:07:28 main:574] : INFO : Epoch 1967 | loss: 0.0311358 | val_loss: 0.0311797 | Time: 86862 ms [2021-11-14 06:09:23 main:574] : INFO : Epoch 1968 | loss: 0.0311406 | val_loss: 0.0311833 | Time: 113885 ms [2021-11-14 06:10:59 main:574] : INFO : Epoch 1969 | loss: 0.031141 | val_loss: 0.0311788 | Time: 88658.5 ms [2021-11-14 06:12:02 main:574] : INFO : Epoch 1970 | loss: 0.0311402 | val_loss: 0.0311923 | Time: 62848.5 ms [2021-11-14 06:13:06 main:574] : INFO : Epoch 1971 | loss: 0.0311429 | val_loss: 0.0311775 | Time: 61637.4 ms [2021-11-14 06:13:35 main:574] : INFO : Epoch 1972 | loss: 0.0311537 | val_loss: 0.0311738 | Time: 28324 ms [2021-11-14 06:14:45 main:574] : INFO : Epoch 1973 | loss: 0.0311641 | val_loss: 0.0311823 | Time: 69829.8 ms [2021-11-14 06:15:44 main:574] : INFO : Epoch 1974 | loss: 0.031162 | val_loss: 0.0311732 | Time: 58300.6 ms [2021-11-14 06:16:43 main:574] : INFO : Epoch 1975 | loss: 0.0311579 | val_loss: 0.0311814 | Time: 58705.6 ms [2021-11-14 06:17:42 main:574] : INFO : Epoch 1976 | loss: 0.0311516 | val_loss: 0.0311754 | Time: 55278.3 ms [2021-11-14 06:18:51 main:574] : INFO : Epoch 1977 | loss: 0.0311482 | val_loss: 0.031174 | Time: 68210.9 ms [2021-11-14 06:19:57 main:574] : INFO : Epoch 1978 | loss: 0.0311509 | val_loss: 0.0311729 | Time: 65768.9 ms [2021-11-14 06:20:57 main:574] : INFO : Epoch 1979 | loss: 0.031168 | val_loss: 0.0311759 | Time: 59569 ms [2021-11-14 06:21:59 main:574] : INFO : Epoch 1980 | loss: 0.0311719 | val_loss: 0.0311764 | Time: 59041.5 ms [2021-11-14 06:23:06 main:574] : INFO : Epoch 1981 | loss: 0.0311689 | val_loss: 0.0311766 | Time: 66669.8 ms [2021-11-14 06:24:19 main:574] : INFO : Epoch 1982 | loss: 0.0311644 | val_loss: 0.0311713 | Time: 71135.6 ms [2021-11-14 06:26:04 main:574] : INFO : Epoch 1983 | loss: 0.031161 | val_loss: 0.0311711 | Time: 100087 ms [2021-11-14 06:27:23 main:574] : INFO : Epoch 1984 | loss: 0.0311584 | val_loss: 0.0311706 | Time: 78147.3 ms [2021-11-14 06:28:06 main:574] : INFO : Epoch 1985 | loss: 0.0311583 | val_loss: 0.0311729 | Time: 42816.6 ms [2021-11-14 06:29:29 main:574] : INFO : Epoch 1986 | loss: 0.03116 | val_loss: 0.0311661 | Time: 82035.2 ms [2021-11-14 06:30:51 main:574] : INFO : Epoch 1987 | loss: 0.0311562 | val_loss: 0.0311643 | Time: 80406 ms [2021-11-14 06:32:20 main:574] : INFO : Epoch 1988 | loss: 0.0311561 | val_loss: 0.031171 | Time: 87680.7 ms [2021-11-14 06:33:42 main:574] : INFO : Epoch 1989 | loss: 0.0311573 | val_loss: 0.031166 | Time: 79608.9 ms [2021-11-14 06:34:55 main:574] : INFO : Epoch 1990 | loss: 0.0311546 | val_loss: 0.0311659 | Time: 72590.1 ms [2021-11-14 06:36:14 main:574] : INFO : Epoch 1991 | loss: 0.0311531 | val_loss: 0.0311683 | Time: 78552.5 ms [2021-11-14 06:37:32 main:574] : INFO : Epoch 1992 | loss: 0.0311488 | val_loss: 0.0311667 | Time: 76402.2 ms [2021-11-14 06:38:48 main:574] : INFO : Epoch 1993 | loss: 0.0311516 | val_loss: 0.031173 | Time: 75456.1 ms [2021-11-14 06:40:09 main:574] : INFO : Epoch 1994 | loss: 0.0311625 | val_loss: 0.0311737 | Time: 79151.4 ms [2021-11-14 06:42:19 main:574] : INFO : Epoch 1995 | loss: 0.0311615 | val_loss: 0.0311717 | Time: 126570 ms [2021-11-14 06:43:05 main:574] : INFO : Epoch 1996 | loss: 0.0311611 | val_loss: 0.0311718 | Time: 45275.6 ms [2021-11-14 06:43:37 main:574] : INFO : Epoch 1997 | loss: 0.0311559 | val_loss: 0.0311679 | Time: 31543.9 ms [2021-11-14 06:44:31 main:574] : INFO : Epoch 1998 | loss: 0.0311553 | val_loss: 0.0311716 | Time: 52176.1 ms [2021-11-14 06:46:16 main:574] : INFO : Epoch 1999 | loss: 0.0311575 | val_loss: 0.0311724 | Time: 104894 ms [2021-11-14 06:47:59 main:574] : INFO : Epoch 2000 | loss: 0.0311544 | val_loss: 0.0311752 | Time: 101951 ms [2021-11-14 06:49:05 main:574] : INFO : Epoch 2001 | loss: 0.0311516 | val_loss: 0.0311695 | Time: 64022 ms [2021-11-14 06:50:12 main:574] : INFO : Epoch 2002 | loss: 0.0311503 | val_loss: 0.0311726 | Time: 66812.9 ms [2021-11-14 06:51:19 main:574] : INFO : Epoch 2003 | loss: 0.0311488 | val_loss: 0.031172 | Time: 65392.9 ms [2021-11-14 06:52:24 main:574] : INFO : Epoch 2004 | loss: 0.0311544 | val_loss: 0.0311691 | Time: 65734 ms [2021-11-14 06:53:50 main:574] : INFO : Epoch 2005 | loss: 0.0311497 | val_loss: 0.0311671 | Time: 82794.3 ms [2021-11-14 06:55:19 main:574] : INFO : Epoch 2006 | loss: 0.0311486 | val_loss: 0.0311673 | Time: 88650.5 ms [2021-11-14 06:56:41 main:574] : INFO : Epoch 2007 | loss: 0.0311477 | val_loss: 0.0311666 | Time: 80591.4 ms [2021-11-14 06:57:58 main:574] : INFO : Epoch 2008 | loss: 0.0311469 | val_loss: 0.0311728 | Time: 75524 ms [2021-11-14 06:58:31 main:574] : INFO : Epoch 2009 | loss: 0.0311459 | val_loss: 0.0311743 | Time: 32621.4 ms [2021-11-14 06:59:55 main:574] : INFO : Epoch 2010 | loss: 0.0311472 | val_loss: 0.0311696 | Time: 83205.1 ms [2021-11-14 07:01:06 main:574] : INFO : Epoch 2011 | loss: 0.0311549 | val_loss: 0.0311831 | Time: 69883.4 ms [2021-11-14 07:02:30 main:574] : INFO : Epoch 2012 | loss: 0.0311622 | val_loss: 0.0311796 | Time: 83042.1 ms [2021-11-14 07:03:46 main:574] : INFO : Epoch 2013 | loss: 0.0311602 | val_loss: 0.0311758 | Time: 75205.3 ms [2021-11-14 07:04:58 main:574] : INFO : Epoch 2014 | loss: 0.0311532 | val_loss: 0.0311746 | Time: 72643.3 ms [2021-11-14 07:06:19 main:574] : INFO : Epoch 2015 | loss: 0.0311548 | val_loss: 0.0311697 | Time: 77540.3 ms [2021-11-14 07:07:27 main:574] : INFO : Epoch 2016 | loss: 0.0311529 | val_loss: 0.0311744 | Time: 66992.8 ms [2021-11-14 07:08:54 main:574] : INFO : Epoch 2017 | loss: 0.0311494 | val_loss: 0.0311675 | Time: 85790.4 ms [2021-11-14 07:10:33 main:574] : INFO : Epoch 2018 | loss: 0.0311472 | val_loss: 0.0311687 | Time: 90437.8 ms [2021-11-14 07:11:44 main:574] : INFO : Epoch 2019 | loss: 0.0311447 | val_loss: 0.0311667 | Time: 70639.3 ms [2021-11-14 07:13:06 main:574] : INFO : Epoch 2020 | loss: 0.0311463 | val_loss: 0.0311668 | Time: 81311.1 ms [2021-11-14 07:13:44 main:574] : INFO : Epoch 2021 | loss: 0.0311474 | val_loss: 0.031168 | Time: 37630.1 ms [2021-11-14 07:14:38 main:574] : INFO : Epoch 2022 | loss: 0.0311493 | val_loss: 0.0311723 | Time: 54026 ms [2021-11-14 07:15:36 main:574] : INFO : Epoch 2023 | loss: 0.031146 | val_loss: 0.0311679 | Time: 53628.5 ms [2021-11-14 07:16:46 main:574] : INFO : Epoch 2024 | loss: 0.0311424 | val_loss: 0.0311702 | Time: 69707.7 ms [2021-11-14 07:18:11 main:574] : INFO : Epoch 2025 | loss: 0.031144 | val_loss: 0.0311707 | Time: 82749 ms [2021-11-14 07:19:08 main:574] : INFO : Epoch 2026 | loss: 0.031148 | val_loss: 0.0311713 | Time: 55847.3 ms [2021-11-14 07:20:15 main:574] : INFO : Epoch 2027 | loss: 0.0311466 | val_loss: 0.0311757 | Time: 66923.8 ms [2021-11-14 07:21:37 main:574] : INFO : Epoch 2028 | loss: 0.0311448 | val_loss: 0.0311673 | Time: 79689.6 ms [2021-11-14 07:22:26 main:574] : INFO : Epoch 2029 | loss: 0.0311431 | val_loss: 0.0311737 | Time: 47815.7 ms [2021-11-14 07:23:32 main:574] : INFO : Epoch 2030 | loss: 0.0311416 | val_loss: 0.031176 | Time: 64775.4 ms [2021-11-14 07:24:32 main:574] : INFO : Epoch 2031 | loss: 0.031143 | val_loss: 0.0311693 | Time: 59955.3 ms [2021-11-14 07:25:46 main:574] : INFO : Epoch 2032 | loss: 0.0311403 | val_loss: 0.0311725 | Time: 71441 ms [2021-11-14 07:27:12 main:574] : INFO : Epoch 2033 | loss: 0.0311378 | val_loss: 0.0311707 | Time: 84278.3 ms [2021-11-14 07:28:09 main:574] : INFO : Epoch 2034 | loss: 0.0311386 | val_loss: 0.0311741 | Time: 56777 ms [2021-11-14 07:29:09 main:574] : INFO : Epoch 2035 | loss: 0.0311395 | val_loss: 0.0311705 | Time: 58379 ms [2021-11-14 07:30:22 main:574] : INFO : Epoch 2036 | loss: 0.0311445 | val_loss: 0.0311749 | Time: 72181 ms [2021-11-14 07:31:51 main:574] : INFO : Epoch 2037 | loss: 0.0311495 | val_loss: 0.0311717 | Time: 88529.5 ms [2021-11-14 07:33:01 main:574] : INFO : Epoch 2038 | loss: 0.0311464 | val_loss: 0.0311667 | Time: 66027.5 ms [2021-11-14 07:34:03 main:574] : INFO : Epoch 2039 | loss: 0.0311433 | val_loss: 0.0311684 | Time: 61108 ms [2021-11-14 07:35:27 main:574] : INFO : Epoch 2040 | loss: 0.0311435 | val_loss: 0.0311734 | Time: 83421.7 ms [2021-11-14 07:37:20 main:574] : INFO : Epoch 2041 | loss: 0.0311433 | val_loss: 0.0311729 | Time: 106730 ms [2021-11-14 07:38:55 main:574] : INFO : Epoch 2042 | loss: 0.031139 | val_loss: 0.0311716 | Time: 93732.1 ms [2021-11-14 07:40:32 main:574] : INFO : Epoch 2043 | loss: 0.0311395 | val_loss: 0.031175 | Time: 96230.6 ms [2021-11-14 07:41:56 main:574] : INFO : Epoch 2044 | loss: 0.0311419 | val_loss: 0.0311733 | Time: 83811 ms [2021-11-14 07:42:51 main:574] : INFO : Epoch 2045 | loss: 0.0311436 | val_loss: 0.0311641 | Time: 54499 ms [2021-11-14 07:43:21 main:574] : INFO : Epoch 2046 | loss: 0.031142 | val_loss: 0.0311742 | Time: 26015.7 ms [2021-11-14 07:44:52 main:574] : INFO : Epoch 2047 | loss: 0.031142 | val_loss: 0.0311678 | Time: 90282.4 ms [2021-11-14 07:46:23 main:574] : INFO : Epoch 2048 | loss: 0.0311419 | val_loss: 0.0311669 | Time: 89593.8 ms [2021-11-14 07:46:29 main:597] : INFO : Saving trained model to model-final.pt, val_loss 0.0311669 [2021-11-14 07:46:30 main:603] : INFO : Saving end state to config to file [2021-11-14 07:46:31 main:608] : INFO : Success, exiting.. 07:46:32 (15452): 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)