Task 8383509
| Name | ParityModified-1634614858-16532-2_0 |
| Workunit | 5904357 |
| Created | 24 Oct 2021, 15:26:47 UTC |
| Sent | 28 Oct 2021, 14:38:38 UTC |
| Report deadline | 4 Nov 2021, 14:38:38 UTC |
| Received | 4 Nov 2021, 19:58:49 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 11391 |
| Run time | 23 hours 24 min 12 sec |
| CPU time | 5 hours 41 min 13 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> : Epoch 1713 | loss: 0.0311401 | val_loss: 0.031175 | Time: 18596.6 ms [2021-10-29 23:47:39 main:574] : INFO : Epoch 1714 | loss: 0.0311384 | val_loss: 0.0311718 | Time: 18557 ms [2021-10-29 23:47:56 main:574] : INFO : Epoch 1715 | loss: 0.031138 | val_loss: 0.0311742 | Time: 17682.9 ms [2021-10-29 23:48:15 main:574] : INFO : Epoch 1716 | loss: 0.0311365 | val_loss: 0.0311734 | Time: 18117 ms [2021-10-29 23:48:34 main:574] : INFO : Epoch 1717 | loss: 0.0311354 | val_loss: 0.031176 | Time: 19555 ms [2021-10-29 23:48:52 main:574] : INFO : Epoch 1718 | loss: 0.0311357 | val_loss: 0.0311771 | Time: 17248.4 ms [2021-10-29 23:49:11 main:574] : INFO : Epoch 1719 | loss: 0.0311369 | val_loss: 0.0311787 | Time: 19317.1 ms [2021-10-29 23:49:29 main:574] : INFO : Epoch 1720 | loss: 0.031136 | val_loss: 0.0311743 | Time: 18343.1 ms [2021-10-29 23:49:48 main:574] : INFO : Epoch 1721 | loss: 0.0311351 | val_loss: 0.0311777 | Time: 18293.1 ms [2021-10-29 23:50:07 main:574] : INFO : Epoch 1722 | loss: 0.0311354 | val_loss: 0.031182 | Time: 18965.7 ms [2021-10-29 23:50:26 main:574] : INFO : Epoch 1723 | loss: 0.0311338 | val_loss: 0.0311818 | Time: 19505.2 ms [2021-10-29 23:50:45 main:574] : INFO : Epoch 1724 | loss: 0.0311329 | val_loss: 0.0311789 | Time: 18225.3 ms [2021-10-29 23:51:04 main:574] : INFO : Epoch 1725 | loss: 0.0311319 | val_loss: 0.0311857 | Time: 18048.3 ms [2021-10-29 23:51:23 main:574] : INFO : Epoch 1726 | loss: 0.0311318 | val_loss: 0.031185 | Time: 18903.5 ms [2021-10-29 23:51:42 main:574] : INFO : Epoch 1727 | loss: 0.0311324 | val_loss: 0.0311784 | Time: 19539.7 ms [2021-10-29 23:52:06 main:574] : INFO : Epoch 1728 | loss: 0.0311365 | val_loss: 0.0311752 | Time: 24072.6 ms [2021-10-29 23:52:30 main:574] : INFO : Epoch 1729 | loss: 0.0311361 | val_loss: 0.0311789 | Time: 23295 ms [2021-10-29 23:52:53 main:574] : INFO : Epoch 1730 | loss: 0.0311355 | val_loss: 0.0311749 | Time: 23422 ms [2021-10-29 23:53:20 main:574] : INFO : Epoch 1731 | loss: 0.0311365 | val_loss: 0.0311756 | Time: 26682.1 ms [2021-10-29 23:53:49 main:574] : INFO : Epoch 1732 | loss: 0.0311369 | val_loss: 0.0311757 | Time: 28985.3 ms [2021-10-29 23:54:17 main:574] : INFO : Epoch 1733 | loss: 0.0311382 | val_loss: 0.0311749 | Time: 26981 ms [2021-10-29 23:54:46 main:574] : INFO : Epoch 1734 | loss: 0.0311369 | val_loss: 0.0311728 | Time: 27817.8 ms [2021-10-29 23:55:12 main:574] : INFO : Epoch 1735 | loss: 0.0311381 | val_loss: 0.0311745 | Time: 25751.4 ms [2021-10-29 23:55:40 main:574] : INFO : Epoch 1736 | loss: 0.0311368 | val_loss: 0.0311761 | Time: 27706.9 ms [2021-10-29 23:56:20 main:574] : INFO : Epoch 1737 | loss: 0.0311367 | val_loss: 0.031181 | Time: 40127.5 ms [2021-10-29 23:56:46 main:574] : INFO : Epoch 1738 | loss: 0.031135 | val_loss: 0.0311818 | Time: 26104.8 ms [2021-10-29 23:57:11 main:574] : INFO : Epoch 1739 | loss: 0.031135 | val_loss: 0.0311782 | Time: 24897.1 ms [2021-10-29 23:57:38 main:574] : INFO : Epoch 1740 | loss: 0.0311364 | val_loss: 0.0311804 | Time: 26615.2 ms [2021-10-29 23:58:04 main:574] : INFO : Epoch 1741 | loss: 0.0311362 | val_loss: 0.0311777 | Time: 25376.3 ms [2021-10-29 23:58:31 main:574] : INFO : Epoch 1742 | loss: 0.0311323 | val_loss: 0.0311811 | Time: 27089.8 ms [2021-10-29 23:58:58 main:574] : INFO : Epoch 1743 | loss: 0.0311324 | val_loss: 0.0311742 | Time: 26668.2 ms [2021-10-29 23:59:25 main:574] : INFO : Epoch 1744 | loss: 0.0311311 | val_loss: 0.0311779 | Time: 26902.4 ms [2021-10-29 23:59:52 main:574] : INFO : Epoch 1745 | loss: 0.0311329 | val_loss: 0.0311819 | Time: 26794.9 ms [2021-10-30 00:00:20 main:574] : INFO : Epoch 1746 | loss: 0.0311351 | val_loss: 0.0311768 | Time: 27386.6 ms [2021-10-30 00:00:46 main:574] : INFO : Epoch 1747 | loss: 0.0311378 | val_loss: 0.0311792 | Time: 25930 ms [2021-10-30 00:01:10 main:574] : INFO : Epoch 1748 | loss: 0.0311466 | val_loss: 0.0311777 | Time: 24141.7 ms [2021-10-30 00:01:46 main:574] : INFO : Epoch 1749 | loss: 0.0311646 | val_loss: 0.0311753 | Time: 34259.4 ms [2021-10-30 00:02:22 main:574] : INFO : Epoch 1750 | loss: 0.0311595 | val_loss: 0.0311761 | Time: 35517.5 ms [2021-10-30 00:02:47 main:574] : INFO : Epoch 1751 | loss: 0.0311598 | val_loss: 0.0311803 | Time: 24538.5 ms [2021-10-30 00:03:16 main:574] : INFO : Epoch 1752 | loss: 0.0311602 | val_loss: 0.0311751 | Time: 28218.7 ms [2021-10-30 00:03:43 main:574] : INFO : Epoch 1753 | loss: 0.031156 | val_loss: 0.0311755 | Time: 27094.2 ms [2021-10-30 00:04:09 main:574] : INFO : Epoch 1754 | loss: 0.031154 | val_loss: 0.0311801 | Time: 26219.7 ms [2021-10-30 00:04:34 main:574] : INFO : Epoch 1755 | loss: 0.031155 | val_loss: 0.0311782 | Time: 24870.4 ms [2021-10-30 00:05:02 main:574] : INFO : Epoch 1756 | loss: 0.0311593 | val_loss: 0.0311812 | Time: 25885.8 ms [2021-10-30 00:05:27 main:574] : INFO : Epoch 1757 | loss: 0.0311627 | val_loss: 0.0311742 | Time: 25059.7 ms [2021-10-30 00:05:54 main:574] : INFO : Epoch 1758 | loss: 0.0311586 | val_loss: 0.0311706 | Time: 27323.6 ms [2021-10-30 00:06:21 main:574] : INFO : Epoch 1759 | loss: 0.0311566 | val_loss: 0.0311735 | Time: 26141.1 ms [2021-10-30 00:06:46 main:574] : INFO : Epoch 1760 | loss: 0.0311554 | val_loss: 0.0311765 | Time: 25064.5 ms [2021-10-30 00:07:12 main:574] : INFO : Epoch 1761 | loss: 0.031153 | val_loss: 0.0311813 | Time: 26167.6 ms [2021-10-30 00:07:37 main:574] : INFO : Epoch 1762 | loss: 0.0311507 | val_loss: 0.0311759 | Time: 24309.2 ms [2021-10-30 00:08:25 main:574] : INFO : Epoch 1763 | loss: 0.0311502 | val_loss: 0.0311726 | Time: 47913 ms [2021-10-30 00:08:51 main:574] : INFO : Epoch 1764 | loss: 0.0311493 | val_loss: 0.0311736 | Time: 24568.7 ms [2021-10-30 00:09:15 main:574] : INFO : Epoch 1765 | loss: 0.0311477 | val_loss: 0.0311734 | Time: 23512 ms [2021-10-30 00:09:39 main:574] : INFO : Epoch 1766 | loss: 0.0311457 | val_loss: 0.0311779 | Time: 24764.9 ms [2021-10-30 00:10:04 main:574] : INFO : Epoch 1767 | loss: 0.0311485 | val_loss: 0.0311766 | Time: 24363.6 ms [2021-10-30 00:10:30 main:574] : INFO : Epoch 1768 | loss: 0.0311509 | val_loss: 0.0311748 | Time: 25674.9 ms [2021-10-30 00:10:55 main:574] : INFO : Epoch 1769 | loss: 0.0311523 | val_loss: 0.0311726 | Time: 24995.7 ms [2021-10-30 00:11:21 main:574] : INFO : Epoch 1770 | loss: 0.0311499 | val_loss: 0.0311772 | Time: 25540 ms [2021-10-30 00:11:44 main:574] : INFO : Epoch 1771 | loss: 0.0311469 | val_loss: 0.0311722 | Time: 22986.1 ms [2021-10-30 00:12:08 main:574] : INFO : Epoch 1772 | loss: 0.0311457 | val_loss: 0.0311751 | Time: 24417.7 ms [2021-10-30 00:12:35 main:574] : INFO : Epoch 1773 | loss: 0.0311483 | val_loss: 0.0311715 | Time: 25580.4 ms [2021-10-30 00:12:59 main:574] : INFO : Epoch 1774 | loss: 0.031148 | val_loss: 0.0311709 | Time: 24193 ms [2021-10-30 00:13:26 main:574] : INFO : Epoch 1775 | loss: 0.0311465 | val_loss: 0.0311695 | Time: 26141.2 ms [2021-10-30 00:13:50 main:574] : INFO : Epoch 1776 | loss: 0.0311442 | val_loss: 0.0311715 | Time: 23984.4 ms [2021-10-30 00:14:17 main:574] : INFO : Epoch 1777 | loss: 0.0311438 | val_loss: 0.031172 | Time: 26031.3 ms [2021-10-30 00:14:42 main:574] : INFO : Epoch 1778 | loss: 0.0311432 | val_loss: 0.0311739 | Time: 24826.3 ms [2021-10-30 00:15:08 main:574] : INFO : Epoch 1779 | loss: 0.031141 | val_loss: 0.0311746 | Time: 25797.4 ms [2021-10-30 00:15:32 main:574] : INFO : Epoch 1780 | loss: 0.0311418 | val_loss: 0.0311718 | Time: 24322.9 ms [2021-10-30 00:15:58 main:574] : INFO : Epoch 1781 | loss: 0.031141 | val_loss: 0.031174 | Time: 24853 ms [2021-10-30 00:16:22 main:574] : INFO : Epoch 1782 | loss: 0.0311397 | val_loss: 0.0311725 | Time: 23859 ms [2021-10-30 00:16:48 main:574] : INFO : Epoch 1783 | loss: 0.0311399 | val_loss: 0.0311721 | Time: 25778.5 ms [2021-10-30 00:17:13 main:574] : INFO : Epoch 1784 | loss: 0.0311398 | val_loss: 0.0311742 | Time: 25088.4 ms [2021-10-30 00:17:37 main:574] : INFO : Epoch 1785 | loss: 0.0311598 | val_loss: 0.0311763 | Time: 23380.9 ms [2021-10-30 00:18:01 main:574] : INFO : Epoch 1786 | loss: 0.031165 | val_loss: 0.0311755 | Time: 23700.6 ms [2021-10-30 00:18:26 main:574] : INFO : Epoch 1787 | loss: 0.0311623 | val_loss: 0.031175 | Time: 25197.5 ms [2021-10-30 00:18:51 main:574] : INFO : Epoch 1788 | loss: 0.0311607 | val_loss: 0.0311727 | Time: 25449.1 ms [2021-10-30 00:19:17 main:574] : INFO : Epoch 1789 | loss: 0.0311616 | val_loss: 0.0311788 | Time: 24958 ms [2021-10-30 00:19:43 main:574] : INFO : Epoch 1790 | loss: 0.0311597 | val_loss: 0.0311741 | Time: 25738.1 ms [2021-10-30 00:20:09 main:574] : INFO : Epoch 1791 | loss: 0.0311587 | val_loss: 0.0311729 | Time: 25392.5 ms [2021-10-30 00:20:35 main:574] : INFO : Epoch 1792 | loss: 0.031159 | val_loss: 0.0311741 | Time: 25827.5 ms [2021-10-30 00:21:02 main:574] : INFO : Epoch 1793 | loss: 0.0311562 | val_loss: 0.0311711 | Time: 27051.4 ms [2021-10-30 00:21:29 main:574] : INFO : Epoch 1794 | loss: 0.0311551 | val_loss: 0.0311704 | Time: 26134 ms [2021-10-30 00:21:55 main:574] : INFO : Epoch 1795 | loss: 0.0311561 | val_loss: 0.0311698 | Time: 26398.2 ms [2021-10-30 00:22:24 main:574] : INFO : Epoch 1796 | loss: 0.0311549 | val_loss: 0.0311707 | Time: 28556.9 ms [2021-10-30 00:22:53 main:574] : INFO : Epoch 1797 | loss: 0.0311538 | val_loss: 0.0311712 | Time: 29313.4 ms [2021-10-30 00:23:48 main:574] : INFO : Epoch 1798 | loss: 0.0311528 | val_loss: 0.0311745 | Time: 53373 ms [2021-10-30 00:24:16 main:574] : INFO : Epoch 1799 | loss: 0.0311518 | val_loss: 0.0311725 | Time: 28297.7 ms [2021-10-30 00:24:42 main:574] : INFO : Epoch 1800 | loss: 0.0311516 | val_loss: 0.0311754 | Time: 25408 ms [2021-10-30 00:25:06 main:574] : INFO : Epoch 1801 | loss: 0.0311498 | val_loss: 0.031174 | Time: 24515.7 ms [2021-10-30 00:25:30 main:574] : INFO : Epoch 1802 | loss: 0.0311489 | val_loss: 0.0311893 | Time: 23688.7 ms [2021-10-30 00:26:07 main:574] : INFO : Epoch 1803 | loss: 0.0311531 | val_loss: 0.0311772 | Time: 36773.3 ms [2021-10-30 00:26:37 main:574] : INFO : Epoch 1804 | loss: 0.0311503 | val_loss: 0.0311766 | Time: 29443.8 ms [2021-10-30 00:27:05 main:574] : INFO : Epoch 1805 | loss: 0.0311503 | val_loss: 0.0311742 | Time: 27292.9 ms [2021-10-30 00:27:31 main:574] : INFO : Epoch 1806 | loss: 0.0311513 | val_loss: 0.0311806 | Time: 26121.1 ms [2021-10-30 00:27:58 main:574] : INFO : Epoch 1807 | loss: 0.0311533 | val_loss: 0.0311726 | Time: 25941 ms [2021-10-30 00:28:23 main:574] : INFO : Epoch 1808 | loss: 0.0311523 | val_loss: 0.0311769 | Time: 25763.9 ms [2021-10-30 00:28:48 main:574] : INFO : Epoch 1809 | loss: 0.0311523 | val_loss: 0.0311764 | Time: 24530.4 ms [2021-10-30 00:29:14 main:574] : INFO : Epoch 1810 | loss: 0.0311525 | val_loss: 0.0311732 | Time: 25474.6 ms [2021-10-30 00:29:38 main:574] : INFO : Epoch 1811 | loss: 0.0311496 | val_loss: 0.031177 | Time: 24269.4 ms [2021-10-30 00:30:07 main:574] : INFO : Epoch 1812 | loss: 0.0311486 | val_loss: 0.0311777 | Time: 29384.2 ms [2021-10-30 00:30:34 main:574] : INFO : Epoch 1813 | loss: 0.0311494 | val_loss: 0.0311736 | Time: 25798.2 ms [2021-10-30 00:31:01 main:574] : INFO : Epoch 1814 | loss: 0.0311501 | val_loss: 0.0311758 | Time: 26431.9 ms [2021-10-30 00:31:27 main:574] : INFO : Epoch 1815 | loss: 0.0311507 | val_loss: 0.0311734 | Time: 26054.3 ms [2021-10-30 00:31:53 main:574] : INFO : Epoch 1816 | loss: 0.0311501 | val_loss: 0.031174 | Time: 25877.4 ms [2021-10-30 00:32:18 main:574] : INFO : Epoch 1817 | loss: 0.0311494 | val_loss: 0.0311734 | Time: 24748.1 ms [2021-10-30 00:32:44 main:574] : INFO : Epoch 1818 | loss: 0.0311478 | val_loss: 0.0311703 | Time: 25913.3 ms [2021-10-30 00:33:16 main:574] : INFO : Epoch 1819 | loss: 0.0311475 | val_loss: 0.031169 | Time: 32221 ms [2021-10-30 00:33:50 main:574] : INFO : Epoch 1820 | loss: 0.0311465 | val_loss: 0.0311696 | Time: 32933.5 ms [2021-10-30 00:34:19 main:574] : INFO : Epoch 1821 | loss: 0.0311474 | val_loss: 0.031174 | Time: 27274.4 ms [2021-10-30 00:34:44 main:574] : INFO : Epoch 1822 | loss: 0.0311493 | val_loss: 0.0311724 | Time: 25329.6 ms [2021-10-30 00:35:08 main:574] : INFO : Epoch 1823 | loss: 0.0311465 | val_loss: 0.031177 | Time: 24031.1 ms [2021-10-30 00:35:34 main:574] : INFO : Epoch 1824 | loss: 0.031146 | val_loss: 0.0311723 | Time: 25251 ms [2021-10-30 00:36:12 main:574] : INFO : Epoch 1825 | loss: 0.0311458 | val_loss: 0.031169 | Time: 37995.2 ms [2021-10-30 00:36:40 main:574] : INFO : Epoch 1826 | loss: 0.0311464 | val_loss: 0.0311704 | Time: 27945.2 ms [2021-10-30 00:37:08 main:574] : INFO : Epoch 1827 | loss: 0.0311609 | val_loss: 0.0311679 | Time: 27519.3 ms [2021-10-30 00:37:32 main:574] : INFO : Epoch 1828 | loss: 0.0311595 | val_loss: 0.0311707 | Time: 24053.6 ms [2021-10-30 00:37:57 main:574] : INFO : Epoch 1829 | loss: 0.0311559 | val_loss: 0.031175 | Time: 24326.3 ms [2021-10-30 00:38:21 main:574] : INFO : Epoch 1830 | loss: 0.0311556 | val_loss: 0.0311715 | Time: 23146 ms [2021-10-30 00:38:47 main:574] : INFO : Epoch 1831 | loss: 0.0311513 | val_loss: 0.0311713 | Time: 26494.4 ms [2021-10-30 00:39:18 main:574] : INFO : Epoch 1832 | loss: 0.0311507 | val_loss: 0.0311695 | Time: 30567.1 ms [2021-10-30 00:39:45 main:574] : INFO : Epoch 1833 | loss: 0.0311511 | val_loss: 0.0311679 | Time: 26370 ms [2021-10-30 00:40:10 main:574] : INFO : Epoch 1834 | loss: 0.0311505 | val_loss: 0.0311711 | Time: 25327.2 ms [2021-10-30 00:40:38 main:574] : INFO : Epoch 1835 | loss: 0.0311496 | val_loss: 0.03117 | Time: 28122.4 ms [2021-10-30 00:41:04 main:574] : INFO : Epoch 1836 | loss: 0.0311481 | val_loss: 0.0311712 | Time: 25420.7 ms [2021-10-30 00:41:31 main:574] : INFO : Epoch 1837 | loss: 0.0311585 | val_loss: 0.0311774 | Time: 25753.7 ms [2021-10-30 00:41:56 main:574] : INFO : Epoch 1838 | loss: 0.0311691 | val_loss: 0.0311778 | Time: 24966.9 ms [2021-10-30 00:42:22 main:574] : INFO : Epoch 1839 | loss: 0.0311668 | val_loss: 0.0311739 | Time: 26190.5 ms [2021-10-30 00:42:47 main:574] : INFO : Epoch 1840 | loss: 0.0311647 | val_loss: 0.0311702 | Time: 25084.9 ms [2021-10-30 00:43:12 main:574] : INFO : Epoch 1841 | loss: 0.0311644 | val_loss: 0.0311703 | Time: 24999.4 ms [2021-10-30 00:43:38 main:574] : INFO : Epoch 1842 | loss: 0.0311624 | val_loss: 0.0311694 | Time: 25680 ms Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: NVIDIA GeForce GTX 950M) [2021-10-30 00:47:06 main:435] : INFO : Set logging level to 1 [2021-10-30 00:47:07 main:441] : INFO : Running in BOINC Client mode [2021-10-30 00:47:07 main:444] : INFO : Resolving all filenames [2021-10-30 00:47:07 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 (exists = 1) [2021-10-30 00:47:07 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1634614858-16532-2_0_r1830690123_1 (exists = 1) [2021-10-30 00:47:07 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1634614858-16532-2_0_r1830690123_0 (exists = 0) [2021-10-30 00:47:07 main:452] : INFO : Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1634614858-16532-2 (exists = 1) [2021-10-30 00:47:07 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1) [2021-10-30 00:47:07 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 [2021-10-30 00:47:07 main:474] : INFO : Configuration: [2021-10-30 00:47:07 main:475] : INFO : Model type: GRU [2021-10-30 00:47:07 main:476] : INFO : Validation Loss Threshold: 0.0001 [2021-10-30 00:47:07 main:477] : INFO : Max Epochs: 2048 [2021-10-30 00:47:07 main:478] : INFO : Batch Size: 128 [2021-10-30 00:47:07 main:479] : INFO : Learning Rate: 0.01 [2021-10-30 00:47:07 main:480] : INFO : Patience: 10 [2021-10-30 00:47:07 main:481] : INFO : Hidden Width: 12 [2021-10-30 00:47:07 main:482] : INFO : # Recurrent Layers: 4 [2021-10-30 00:47:07 main:483] : INFO : # Backend Layers: 4 [2021-10-30 00:47:07 main:484] : INFO : # Threads: 1 [2021-10-30 00:47:07 main:486] : INFO : Preparing Dataset [2021-10-30 00:47:07 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-10-30 00:47:11 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-10-30 00:47:52 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2021-10-30 00:47:52 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-10-30 00:47:53 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-10-30 00:47:55 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2021-10-30 00:47:55 main:494] : INFO : Creating Model [2021-10-30 00:47:55 main:507] : INFO : Preparing config file [2021-10-30 00:47:55 main:511] : INFO : Found checkpoint, attempting to load... [2021-10-30 00:47:55 main:512] : INFO : Loading config [2021-10-30 00:47:55 main:514] : INFO : Loading state [2021-10-30 00:48:07 main:559] : INFO : Loading DataLoader into Memory [2021-10-30 00:48:07 main:562] : INFO : Starting Training [2021-10-30 00:48:49 main:574] : INFO : Epoch 1837 | loss: 0.0312441 | val_loss: 0.0311981 | Time: 41628.6 ms [2021-10-30 00:49:12 main:574] : INFO : Epoch 1838 | loss: 0.0311613 | val_loss: 0.0311725 | Time: 23303.8 ms [2021-10-30 00:49:39 main:574] : INFO : Epoch 1839 | loss: 0.0311534 | val_loss: 0.0311715 | Time: 26215.8 ms [2021-10-30 00:50:04 main:574] : INFO : Epoch 1840 | loss: 0.0311503 | val_loss: 0.0311691 | Time: 25074.4 ms [2021-10-30 00:50:31 main:574] : INFO : Epoch 1841 | loss: 0.0311529 | val_loss: 0.0311687 | Time: 26723.3 ms [2021-10-30 00:50:58 main:574] : INFO : Epoch 1842 | loss: 0.0311497 | val_loss: 0.0311699 | Time: 26154.5 ms [2021-10-30 00:51:23 main:574] : INFO : Epoch 1843 | loss: 0.0311491 | val_loss: 0.0311714 | Time: 24824.8 ms [2021-10-30 00:51:49 main:574] : INFO : Epoch 1844 | loss: 0.0311479 | val_loss: 0.0311722 | Time: 26326.7 ms [2021-10-30 00:52:12 main:574] : INFO : Epoch 1845 | loss: 0.0311461 | val_loss: 0.0311675 | Time: 22624.5 ms [2021-10-30 00:52:38 main:574] : INFO : Epoch 1846 | loss: 0.0311471 | val_loss: 0.0311706 | Time: 26464.3 ms [2021-10-30 00:53:04 main:574] : INFO : Epoch 1847 | loss: 0.0311473 | val_loss: 0.031172 | Time: 25525.1 ms [2021-10-30 00:53:25 main:574] : INFO : Epoch 1848 | loss: 0.0311469 | val_loss: 0.0311698 | Time: 21305.8 ms [2021-10-30 00:53:49 main:574] : INFO : Epoch 1849 | loss: 0.0311482 | val_loss: 0.0311783 | Time: 23583.3 ms [2021-10-30 00:54:23 main:574] : INFO : Epoch 1850 | loss: 0.0311488 | val_loss: 0.0311715 | Time: 34173.3 ms [2021-10-30 00:54:51 main:574] : INFO : Epoch 1851 | loss: 0.0311492 | val_loss: 0.0311681 | Time: 26468.1 ms [2021-10-30 00:55:19 main:574] : INFO : Epoch 1852 | loss: 0.0311486 | val_loss: 0.0311688 | Time: 27737.4 ms [2021-10-30 00:55:46 main:574] : INFO : Epoch 1853 | loss: 0.0311463 | val_loss: 0.0311794 | Time: 26219.6 ms [2021-10-30 00:56:29 main:574] : INFO : Epoch 1854 | loss: 0.0311505 | val_loss: 0.031173 | Time: 42798 ms [2021-10-30 00:56:55 main:574] : INFO : Epoch 1855 | loss: 0.0311504 | val_loss: 0.0311704 | Time: 26039.9 ms [2021-10-30 00:57:23 main:574] : INFO : Epoch 1856 | loss: 0.0311484 | val_loss: 0.0311698 | Time: 28516.6 ms [2021-10-30 00:57:47 main:574] : INFO : Epoch 1857 | loss: 0.0311492 | val_loss: 0.0311724 | Time: 24053 ms [2021-10-30 00:58:13 main:574] : INFO : Epoch 1858 | loss: 0.0311474 | val_loss: 0.0311668 | Time: 24173.5 ms [2021-10-30 00:58:36 main:574] : INFO : Epoch 1859 | loss: 0.0311469 | val_loss: 0.0311746 | Time: 23634.4 ms [2021-10-30 00:58:55 main:574] : INFO : Epoch 1860 | loss: 0.0311489 | val_loss: 0.0311721 | Time: 18573.1 ms [2021-10-30 00:59:13 main:574] : INFO : Epoch 1861 | loss: 0.0311456 | val_loss: 0.0311676 | Time: 18372.2 ms [2021-10-30 00:59:32 main:574] : INFO : Epoch 1862 | loss: 0.0311475 | val_loss: 0.0311684 | Time: 18692.1 ms [2021-10-30 00:59:51 main:574] : INFO : Epoch 1863 | loss: 0.0311452 | val_loss: 0.0311689 | Time: 18925.7 ms [2021-10-30 01:00:14 main:574] : INFO : Epoch 1864 | loss: 0.0311453 | val_loss: 0.0311704 | Time: 22112.5 ms [2021-10-30 01:00:34 main:574] : INFO : Epoch 1865 | loss: 0.0311443 | val_loss: 0.0311714 | Time: 20313.4 ms [2021-10-30 01:00:53 main:574] : INFO : Epoch 1866 | loss: 0.0311465 | val_loss: 0.0311724 | Time: 18646.7 ms [2021-10-30 01:01:13 main:574] : INFO : Epoch 1867 | loss: 0.0311497 | val_loss: 0.0311729 | Time: 19774 ms [2021-10-30 01:01:32 main:574] : INFO : Epoch 1868 | loss: 0.0311487 | val_loss: 0.0311683 | Time: 18206.1 ms [2021-10-30 01:01:50 main:574] : INFO : Epoch 1869 | loss: 0.0311475 | val_loss: 0.0311678 | Time: 18092.7 ms [2021-10-30 01:02:09 main:574] : INFO : Epoch 1870 | loss: 0.0311476 | val_loss: 0.031176 | Time: 19232 ms [2021-10-30 01:02:28 main:574] : INFO : Epoch 1871 | loss: 0.0311468 | val_loss: 0.0311663 | Time: 18835.9 ms [2021-10-30 01:02:46 main:574] : INFO : Epoch 1872 | loss: 0.0311468 | val_loss: 0.0311755 | Time: 18192 ms [2021-10-30 01:03:06 main:574] : INFO : Epoch 1873 | loss: 0.0311474 | val_loss: 0.0311744 | Time: 19846.7 ms [2021-10-30 01:03:25 main:574] : INFO : Epoch 1874 | loss: 0.0311523 | val_loss: 0.0311694 | Time: 18982.5 ms [2021-10-30 01:03:44 main:574] : INFO : Epoch 1875 | loss: 0.0311491 | val_loss: 0.0311729 | Time: 18431.2 ms [2021-10-30 01:04:02 main:574] : INFO : Epoch 1876 | loss: 0.031151 | val_loss: 0.0311702 | Time: 18377.5 ms [2021-10-30 01:04:21 main:574] : INFO : Epoch 1877 | loss: 0.0311496 | val_loss: 0.0311718 | Time: 18822.8 ms [2021-10-30 01:04:39 main:574] : INFO : Epoch 1878 | loss: 0.0311491 | val_loss: 0.0311726 | Time: 18052.8 ms [2021-10-30 01:04:58 main:574] : INFO : Epoch 1879 | loss: 0.0311475 | val_loss: 0.0311716 | Time: 17523.1 ms [2021-10-30 01:05:16 main:574] : INFO : Epoch 1880 | loss: 0.0311483 | val_loss: 0.0311708 | Time: 18008.1 ms [2021-10-30 01:05:35 main:574] : INFO : Epoch 1881 | loss: 0.0311481 | val_loss: 0.0311723 | Time: 18840.8 ms [2021-10-30 01:06:06 main:574] : INFO : Epoch 1882 | loss: 0.0311467 | val_loss: 0.0311799 | Time: 30665.6 ms [2021-10-30 01:06:25 main:574] : INFO : Epoch 1883 | loss: 0.0311586 | val_loss: 0.0311713 | Time: 18772.2 ms [2021-10-30 01:06:44 main:574] : INFO : Epoch 1884 | loss: 0.0311617 | val_loss: 0.0311775 | Time: 19240.1 ms [2021-10-30 01:07:02 main:574] : INFO : Epoch 1885 | loss: 0.0311567 | val_loss: 0.0311824 | Time: 18264 ms [2021-10-30 01:07:20 main:574] : INFO : Epoch 1886 | loss: 0.0311549 | val_loss: 0.0311708 | Time: 17902.7 ms [2021-10-30 01:07:39 main:574] : INFO : Epoch 1887 | loss: 0.0311491 | val_loss: 0.0311692 | Time: 18786.4 ms [2021-10-30 01:07:57 main:574] : INFO : Epoch 1888 | loss: 0.0311469 | val_loss: 0.0311719 | Time: 18062.1 ms [2021-10-30 01:08:16 main:574] : INFO : Epoch 1889 | loss: 0.0311449 | val_loss: 0.0311758 | Time: 18327 ms [2021-10-30 01:08:35 main:574] : INFO : Epoch 1890 | loss: 0.0311453 | val_loss: 0.0311722 | Time: 18296.7 ms [2021-10-30 01:08:55 main:574] : INFO : Epoch 1891 | loss: 0.0311446 | val_loss: 0.0311688 | Time: 20036.3 ms [2021-10-30 01:09:19 main:574] : INFO : Epoch 1892 | loss: 0.0311451 | val_loss: 0.0311684 | Time: 23415.2 ms [2021-10-30 01:09:45 main:574] : INFO : Epoch 1893 | loss: 0.0311452 | val_loss: 0.0311679 | Time: 25893.5 ms Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: NVIDIA GeForce GTX 950M) [2021-10-30 01:13:12 main:435] : INFO : Set logging level to 1 [2021-10-30 01:13:12 main:441] : INFO : Running in BOINC Client mode [2021-10-30 01:13:12 main:444] : INFO : Resolving all filenames [2021-10-30 01:13:12 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 (exists = 1) [2021-10-30 01:13:12 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1634614858-16532-2_0_r1830690123_1 (exists = 1) [2021-10-30 01:13:12 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1634614858-16532-2_0_r1830690123_0 (exists = 0) [2021-10-30 01:13:12 main:452] : INFO : Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1634614858-16532-2 (exists = 1) [2021-10-30 01:13:12 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1) [2021-10-30 01:13:12 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 [2021-10-30 01:13:12 main:474] : INFO : Configuration: [2021-10-30 01:13:12 main:475] : INFO : Model type: GRU [2021-10-30 01:13:13 main:476] : INFO : Validation Loss Threshold: 0.0001 [2021-10-30 01:13:13 main:477] : INFO : Max Epochs: 2048 [2021-10-30 01:13:13 main:478] : INFO : Batch Size: 128 [2021-10-30 01:13:13 main:479] : INFO : Learning Rate: 0.01 [2021-10-30 01:13:13 main:480] : INFO : Patience: 10 [2021-10-30 01:13:13 main:481] : INFO : Hidden Width: 12 [2021-10-30 01:13:13 main:482] : INFO : # Recurrent Layers: 4 [2021-10-30 01:13:13 main:483] : INFO : # Backend Layers: 4 [2021-10-30 01:13:13 main:484] : INFO : # Threads: 1 [2021-10-30 01:13:13 main:486] : INFO : Preparing Dataset [2021-10-30 01:13:13 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-10-30 01:13:18 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-10-30 01:14:38 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2021-10-30 01:14:39 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-10-30 01:14:40 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-10-30 01:14:43 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2021-10-30 01:14:43 main:494] : INFO : Creating Model [2021-10-30 01:14:43 main:507] : INFO : Preparing config file [2021-10-30 01:14:43 main:511] : INFO : Found checkpoint, attempting to load... [2021-10-30 01:14:43 main:512] : INFO : Loading config [2021-10-30 01:14:43 main:514] : INFO : Loading state [2021-10-30 01:15:05 main:559] : INFO : Loading DataLoader into Memory [2021-10-30 01:15:06 main:562] : INFO : Starting Training [2021-10-30 01:16:10 main:574] : INFO : Epoch 1890 | loss: 0.0311923 | val_loss: 0.0311831 | Time: 63949.8 ms [2021-10-30 01:16:49 main:574] : INFO : Epoch 1891 | loss: 0.0311539 | val_loss: 0.031171 | Time: 39264.1 ms [2021-10-30 01:17:34 main:574] : INFO : Epoch 1892 | loss: 0.0311493 | val_loss: 0.0311727 | Time: 45183.9 ms [2021-10-30 01:18:05 main:574] : INFO : Epoch 1893 | loss: 0.0311464 | val_loss: 0.0311693 | Time: 30064.6 ms [2021-10-30 01:20:17 main:574] : INFO : Epoch 1894 | loss: 0.0311455 | val_loss: 0.031174 | Time: 129839 ms [2021-10-30 01:20:50 main:574] : INFO : Epoch 1895 | loss: 0.0311445 | val_loss: 0.0311751 | Time: 32958.1 ms [2021-10-30 01:21:22 main:574] : INFO : Epoch 1896 | loss: 0.0311426 | val_loss: 0.0311709 | Time: 32063.2 ms [2021-10-30 01:22:10 main:574] : INFO : Epoch 1897 | loss: 0.0311443 | val_loss: 0.0311697 | Time: 43036.4 ms [2021-10-30 01:22:44 main:574] : INFO : Epoch 1898 | loss: 0.0311429 | val_loss: 0.0311732 | Time: 33427.3 ms [2021-10-30 01:23:15 main:574] : INFO : Epoch 1899 | loss: 0.0311428 | val_loss: 0.0311719 | Time: 30846.4 ms Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: NVIDIA GeForce GTX 950M) [2021-10-30 01:37:04 main:435] : INFO : Set logging level to 1 [2021-10-30 01:37:04 main:441] : INFO : Running in BOINC Client mode [2021-10-30 01:37:04 main:444] : INFO : Resolving all filenames [2021-10-30 01:37:04 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 (exists = 1) [2021-10-30 01:37:04 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1634614858-16532-2_0_r1830690123_1 (exists = 1) [2021-10-30 01:37:04 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1634614858-16532-2_0_r1830690123_0 (exists = 0) [2021-10-30 01:37:04 main:452] : INFO : Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1634614858-16532-2 (exists = 1) [2021-10-30 01:37:04 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1) [2021-10-30 01:37:05 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 [2021-10-30 01:37:05 main:474] : INFO : Configuration: [2021-10-30 01:37:05 main:475] : INFO : Model type: GRU [2021-10-30 01:37:05 main:476] : INFO : Validation Loss Threshold: 0.0001 [2021-10-30 01:37:05 main:477] : INFO : Max Epochs: 2048 [2021-10-30 01:37:05 main:478] : INFO : Batch Size: 128 [2021-10-30 01:37:05 main:479] : INFO : Learning Rate: 0.01 [2021-10-30 01:37:05 main:480] : INFO : Patience: 10 [2021-10-30 01:37:05 main:481] : INFO : Hidden Width: 12 [2021-10-30 01:37:05 main:482] : INFO : # Recurrent Layers: 4 [2021-10-30 01:37:05 main:483] : INFO : # Backend Layers: 4 [2021-10-30 01:37:05 main:484] : INFO : # Threads: 1 [2021-10-30 01:37:05 main:486] : INFO : Preparing Dataset [2021-10-30 01:37:05 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-10-30 01:37:09 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-10-30 01:38:19 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2021-10-30 01:38:19 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-10-30 01:38:20 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-10-30 01:38:22 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2021-10-30 01:38:22 main:494] : INFO : Creating Model [2021-10-30 01:38:22 main:507] : INFO : Preparing config file [2021-10-30 01:38:22 main:511] : INFO : Found checkpoint, attempting to load... [2021-10-30 01:38:22 main:512] : INFO : Loading config [2021-10-30 01:38:22 main:514] : INFO : Loading state [2021-10-30 01:38:50 main:559] : INFO : Loading DataLoader into Memory [2021-10-30 01:38:50 main:562] : INFO : Starting Training [2021-10-30 01:41:28 main:574] : INFO : Epoch 1895 | loss: 0.0311892 | val_loss: 0.0311809 | Time: 158068 ms [2021-10-30 01:43:01 main:574] : INFO : Epoch 1896 | loss: 0.0311487 | val_loss: 0.0311722 | Time: 89874.3 ms [2021-10-30 01:44:26 main:574] : INFO : Epoch 1897 | loss: 0.0311479 | val_loss: 0.0311734 | Time: 85437.1 ms [2021-10-30 01:45:48 main:574] : INFO : Epoch 1898 | loss: 0.0311474 | val_loss: 0.0311756 | Time: 81084.4 ms [2021-10-30 01:47:07 main:574] : INFO : Epoch 1899 | loss: 0.0311478 | val_loss: 0.0311729 | Time: 78213 ms [2021-10-30 01:48:36 main:574] : INFO : Epoch 1900 | loss: 0.0311449 | val_loss: 0.0311779 | Time: 87824.5 ms [2021-10-30 01:50:07 main:574] : INFO : Epoch 1901 | loss: 0.0311451 | val_loss: 0.0311724 | Time: 90209.2 ms [2021-10-30 01:51:28 main:574] : INFO : Epoch 1902 | loss: 0.0311438 | val_loss: 0.0311733 | Time: 77909.2 ms [2021-10-30 01:53:55 main:574] : INFO : Epoch 1903 | loss: 0.031144 | val_loss: 0.0311712 | Time: 146021 ms [2021-10-30 01:55:53 main:574] : INFO : Epoch 1904 | loss: 0.0311443 | val_loss: 0.0311737 | Time: 115229 ms [2021-10-30 01:57:39 main:574] : INFO : Epoch 1905 | loss: 0.0311453 | val_loss: 0.0311729 | Time: 103403 ms [2021-10-30 01:59:21 main:574] : INFO : Epoch 1906 | loss: 0.0311412 | val_loss: 0.0311712 | Time: 99858.8 ms [2021-10-30 02:01:10 main:574] : INFO : Epoch 1907 | loss: 0.0311414 | val_loss: 0.031172 | Time: 107798 ms [2021-10-30 02:03:15 main:574] : INFO : Epoch 1908 | loss: 0.0311414 | val_loss: 0.0311699 | Time: 122843 ms [2021-10-30 02:04:58 main:574] : INFO : Epoch 1909 | loss: 0.0311439 | val_loss: 0.0311697 | Time: 101540 ms [2021-10-30 02:06:50 main:574] : INFO : Epoch 1910 | loss: 0.0311457 | val_loss: 0.0311704 | Time: 110345 ms [2021-10-30 02:08:14 main:574] : INFO : Epoch 1911 | loss: 0.0311466 | val_loss: 0.0311759 | Time: 83675 ms [2021-10-30 02:09:12 main:574] : INFO : Epoch 1912 | loss: 0.031143 | val_loss: 0.0311704 | Time: 58618.3 ms [2021-10-30 02:09:42 main:574] : INFO : Epoch 1913 | loss: 0.0311425 | val_loss: 0.031173 | Time: 28771.5 ms [2021-10-30 02:10:07 main:574] : INFO : Epoch 1914 | loss: 0.0311434 | val_loss: 0.0311765 | Time: 24353 ms [2021-10-30 02:10:32 main:574] : INFO : Epoch 1915 | loss: 0.0311403 | val_loss: 0.0311721 | Time: 24825.9 ms [2021-10-30 02:10:53 main:574] : INFO : Epoch 1916 | loss: 0.0311428 | val_loss: 0.0311738 | Time: 21656.9 ms [2021-10-30 02:11:16 main:574] : INFO : Epoch 1917 | loss: 0.0311426 | val_loss: 0.0311703 | Time: 22634.1 ms [2021-10-30 02:11:39 main:574] : INFO : Epoch 1918 | loss: 0.0311403 | val_loss: 0.0311748 | Time: 22975.9 ms [2021-10-30 02:12:01 main:574] : INFO : Epoch 1919 | loss: 0.0311398 | val_loss: 0.0311726 | Time: 22044.9 ms [2021-10-30 02:12:46 main:574] : INFO : Epoch 1920 | loss: 0.0311404 | val_loss: 0.0311711 | Time: 44865.3 ms [2021-10-30 02:13:10 main:574] : INFO : Epoch 1921 | loss: 0.0311404 | val_loss: 0.0311711 | Time: 22947.7 ms [2021-10-30 02:13:34 main:574] : INFO : Epoch 1922 | loss: 0.0311389 | val_loss: 0.0311697 | Time: 23539.1 ms [2021-10-30 02:13:59 main:574] : INFO : Epoch 1923 | loss: 0.0311362 | val_loss: 0.0311701 | Time: 24814.1 ms [2021-10-30 02:14:26 main:574] : INFO : Epoch 1924 | loss: 0.0311374 | val_loss: 0.0311723 | Time: 26676.3 ms [2021-10-30 02:14:49 main:574] : INFO : Epoch 1925 | loss: 0.0311462 | val_loss: 0.031173 | Time: 22803.8 ms [2021-10-30 02:15:10 main:574] : INFO : Epoch 1926 | loss: 0.0311461 | val_loss: 0.0311741 | Time: 21188.8 ms [2021-10-30 02:15:36 main:574] : INFO : Epoch 1927 | loss: 0.0311466 | val_loss: 0.0311712 | Time: 25408.9 ms [2021-10-30 02:15:58 main:574] : INFO : Epoch 1928 | loss: 0.031143 | val_loss: 0.0311717 | Time: 22246 ms [2021-10-30 02:16:19 main:574] : INFO : Epoch 1929 | loss: 0.0311449 | val_loss: 0.0311698 | Time: 20741.1 ms [2021-10-30 02:16:42 main:574] : INFO : Epoch 1930 | loss: 0.0311419 | val_loss: 0.0311707 | Time: 22397.4 ms [2021-10-30 02:17:04 main:574] : INFO : Epoch 1931 | loss: 0.0311435 | val_loss: 0.0311735 | Time: 21619.5 ms [2021-10-30 02:17:26 main:574] : INFO : Epoch 1932 | loss: 0.0311452 | val_loss: 0.0311733 | Time: 21817.9 ms [2021-10-30 02:17:49 main:574] : INFO : Epoch 1933 | loss: 0.0311435 | val_loss: 0.0311694 | Time: 22270.6 ms [2021-10-30 02:18:11 main:574] : INFO : Epoch 1934 | loss: 0.0311445 | val_loss: 0.0311699 | Time: 22487.6 ms [2021-10-30 02:18:32 main:574] : INFO : Epoch 1935 | loss: 0.0311431 | val_loss: 0.0311708 | Time: 20809.8 ms [2021-10-30 02:18:54 main:574] : INFO : Epoch 1936 | loss: 0.0311416 | val_loss: 0.0311728 | Time: 21713.8 ms [2021-10-30 02:19:16 main:574] : INFO : Epoch 1937 | loss: 0.0311416 | val_loss: 0.0311697 | Time: 21633.3 ms [2021-10-30 02:19:41 main:574] : INFO : Epoch 1938 | loss: 0.0311426 | val_loss: 0.031181 | Time: 23808.9 ms [2021-10-30 02:20:08 main:574] : INFO : Epoch 1939 | loss: 0.0311455 | val_loss: 0.0311739 | Time: 25104.9 ms [2021-10-30 02:20:25 main:574] : INFO : Epoch 1940 | loss: 0.0311422 | val_loss: 0.0311758 | Time: 17375.9 ms [2021-10-30 02:20:43 main:574] : INFO : Epoch 1941 | loss: 0.0311402 | val_loss: 0.0311739 | Time: 17449.7 ms [2021-10-30 02:21:00 main:574] : INFO : Epoch 1942 | loss: 0.0311388 | val_loss: 0.0311758 | Time: 16963.5 ms [2021-10-30 02:21:17 main:574] : INFO : Epoch 1943 | loss: 0.0311389 | val_loss: 0.0311758 | Time: 17426.2 ms [2021-10-30 02:21:35 main:574] : INFO : Epoch 1944 | loss: 0.031139 | val_loss: 0.0311736 | Time: 17404.8 ms [2021-10-30 02:21:52 main:574] : INFO : Epoch 1945 | loss: 0.0311435 | val_loss: 0.0311698 | Time: 17205.3 ms [2021-10-30 02:22:09 main:574] : INFO : Epoch 1946 | loss: 0.0311416 | val_loss: 0.031169 | Time: 17290.8 ms [2021-10-30 02:22:27 main:574] : INFO : Epoch 1947 | loss: 0.0311404 | val_loss: 0.0311712 | Time: 17817.8 ms [2021-10-30 02:22:44 main:574] : INFO : Epoch 1948 | loss: 0.0311407 | val_loss: 0.0311722 | Time: 16955.3 ms [2021-10-30 02:23:02 main:574] : INFO : Epoch 1949 | loss: 0.0311411 | val_loss: 0.0311671 | Time: 17190.3 ms [2021-10-30 02:23:19 main:574] : INFO : Epoch 1950 | loss: 0.0311471 | val_loss: 0.0311709 | Time: 17097.8 ms [2021-10-30 02:23:41 main:574] : INFO : Epoch 1951 | loss: 0.0311469 | val_loss: 0.0311722 | Time: 20926.5 ms [2021-10-30 02:24:02 main:574] : INFO : Epoch 1952 | loss: 0.0311447 | val_loss: 0.0311723 | Time: 21107 ms [2021-10-30 02:24:24 main:574] : INFO : Epoch 1953 | loss: 0.0311445 | val_loss: 0.0311697 | Time: 22001.2 ms [2021-10-30 02:24:46 main:574] : INFO : Epoch 1954 | loss: 0.0311456 | val_loss: 0.0311733 | Time: 22257.6 ms [2021-10-30 02:25:09 main:574] : INFO : Epoch 1955 | loss: 0.0311448 | val_loss: 0.0311756 | Time: 22204.5 ms [2021-10-30 02:25:30 main:574] : INFO : Epoch 1956 | loss: 0.0311428 | val_loss: 0.0311665 | Time: 20612.4 ms [2021-10-30 02:25:51 main:574] : INFO : Epoch 1957 | loss: 0.0311404 | val_loss: 0.0311732 | Time: 21797.7 ms [2021-10-30 02:26:16 main:574] : INFO : Epoch 1958 | loss: 0.0311424 | val_loss: 0.0311687 | Time: 24574.1 ms [2021-10-30 02:26:37 main:574] : INFO : Epoch 1959 | loss: 0.0311458 | val_loss: 0.031167 | Time: 20585 ms [2021-10-30 02:26:57 main:574] : INFO : Epoch 1960 | loss: 0.031141 | val_loss: 0.0311657 | Time: 20348.3 ms [2021-10-30 02:27:20 main:574] : INFO : Epoch 1961 | loss: 0.03114 | val_loss: 0.0311657 | Time: 21657.4 ms [2021-10-30 02:27:41 main:574] : INFO : Epoch 1962 | loss: 0.0311388 | val_loss: 0.0311743 | Time: 21521.7 ms [2021-10-30 02:28:24 main:574] : INFO : Epoch 1963 | loss: 0.0311372 | val_loss: 0.0311695 | Time: 42004.7 ms [2021-10-30 02:28:44 main:574] : INFO : Epoch 1964 | loss: 0.0311433 | val_loss: 0.031172 | Time: 19986.7 ms [2021-10-30 02:29:05 main:574] : INFO : Epoch 1965 | loss: 0.0311473 | val_loss: 0.0311699 | Time: 21027.3 ms [2021-10-30 02:29:29 main:574] : INFO : Epoch 1966 | loss: 0.0311453 | val_loss: 0.0311674 | Time: 24224.4 ms [2021-10-30 02:29:58 main:574] : INFO : Epoch 1967 | loss: 0.0311428 | val_loss: 0.0311689 | Time: 28160.2 ms [2021-10-30 02:30:22 main:574] : INFO : Epoch 1968 | loss: 0.031142 | val_loss: 0.0311712 | Time: 24119.5 ms [2021-10-30 02:30:50 main:574] : INFO : Epoch 1969 | loss: 0.0311423 | val_loss: 0.0311723 | Time: 26732.7 ms [2021-10-30 02:31:12 main:574] : INFO : Epoch 1970 | loss: 0.0311448 | val_loss: 0.0311721 | Time: 22079 ms [2021-10-30 02:31:33 main:574] : INFO : Epoch 1971 | loss: 0.0311434 | val_loss: 0.031174 | Time: 20726.1 ms [2021-10-30 02:31:54 main:574] : INFO : Epoch 1972 | loss: 0.031142 | val_loss: 0.0311741 | Time: 20621.1 ms [2021-10-30 02:32:15 main:574] : INFO : Epoch 1973 | loss: 0.0311412 | val_loss: 0.031173 | Time: 20948.2 ms [2021-10-30 02:32:36 main:574] : INFO : Epoch 1974 | loss: 0.0311425 | val_loss: 0.0311739 | Time: 21340.1 ms [2021-10-30 02:32:58 main:574] : INFO : Epoch 1975 | loss: 0.0311407 | val_loss: 0.0311782 | Time: 21695.9 ms [2021-10-30 02:33:19 main:574] : INFO : Epoch 1976 | loss: 0.0311411 | val_loss: 0.0311717 | Time: 20407 ms [2021-10-30 02:33:40 main:574] : INFO : Epoch 1977 | loss: 0.0311427 | val_loss: 0.0311705 | Time: 21158.1 ms [2021-10-30 02:34:00 main:574] : INFO : Epoch 1978 | loss: 0.0311423 | val_loss: 0.0311735 | Time: 19941.8 ms [2021-10-30 02:34:22 main:574] : INFO : Epoch 1979 | loss: 0.0311522 | val_loss: 0.0311788 | Time: 21507.7 ms [2021-10-30 02:34:44 main:574] : INFO : Epoch 1980 | loss: 0.0311556 | val_loss: 0.031174 | Time: 21155.1 ms [2021-10-30 02:35:04 main:574] : INFO : Epoch 1981 | loss: 0.0311539 | val_loss: 0.0311752 | Time: 20570.4 ms [2021-10-30 02:35:26 main:574] : INFO : Epoch 1982 | loss: 0.0311518 | val_loss: 0.031181 | Time: 21302.1 ms [2021-10-30 02:35:48 main:574] : INFO : Epoch 1983 | loss: 0.0311488 | val_loss: 0.0311794 | Time: 22041.9 ms [2021-10-30 02:36:12 main:574] : INFO : Epoch 1984 | loss: 0.031154 | val_loss: 0.0311781 | Time: 23534.1 ms [2021-10-30 02:36:34 main:574] : INFO : Epoch 1985 | loss: 0.0311525 | val_loss: 0.0311738 | Time: 21956.6 ms [2021-10-30 02:36:55 main:574] : INFO : Epoch 1986 | loss: 0.0311509 | val_loss: 0.0311736 | Time: 20705.4 ms [2021-10-30 02:37:15 main:574] : INFO : Epoch 1987 | loss: 0.031152 | val_loss: 0.0311774 | Time: 20579.1 ms [2021-10-30 02:37:38 main:574] : INFO : Epoch 1988 | loss: 0.0311494 | val_loss: 0.0311708 | Time: 22731.8 ms [2021-10-30 02:38:00 main:574] : INFO : Epoch 1989 | loss: 0.0311483 | val_loss: 0.0311695 | Time: 20785 ms [2021-10-30 02:38:30 main:574] : INFO : Epoch 1990 | loss: 0.0311464 | val_loss: 0.0311723 | Time: 29985.2 ms [2021-10-30 02:38:52 main:574] : INFO : Epoch 1991 | loss: 0.0311468 | val_loss: 0.0311698 | Time: 22095.6 ms [2021-10-30 02:39:21 main:574] : INFO : Epoch 1992 | loss: 0.0311451 | val_loss: 0.0311692 | Time: 28102.2 ms [2021-10-30 02:39:41 main:574] : INFO : Epoch 1993 | loss: 0.0311463 | val_loss: 0.0311706 | Time: 20531.6 ms [2021-10-30 02:40:02 main:574] : INFO : Epoch 1994 | loss: 0.0311495 | val_loss: 0.0311741 | Time: 20232.8 ms [2021-10-30 02:40:22 main:574] : INFO : Epoch 1995 | loss: 0.0311476 | val_loss: 0.0311719 | Time: 20125 ms Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: NVIDIA GeForce GTX 950M) [2021-10-30 17:19:54 main:435] : INFO : Set logging level to 1 [2021-10-30 17:19:54 main:441] : INFO : Running in BOINC Client mode [2021-10-30 17:19:54 main:444] : INFO : Resolving all filenames [2021-10-30 17:19:54 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 (exists = 1) [2021-10-30 17:19:54 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1634614858-16532-2_0_r1830690123_1 (exists = 1) [2021-10-30 17:19:55 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1634614858-16532-2_0_r1830690123_0 (exists = 0) [2021-10-30 17:19:55 main:452] : INFO : Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1634614858-16532-2 (exists = 1) [2021-10-30 17:19:55 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1) [2021-10-30 17:19:55 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 [2021-10-30 17:19:55 main:474] : INFO : Configuration: [2021-10-30 17:19:55 main:475] : INFO : Model type: GRU [2021-10-30 17:19:55 main:476] : INFO : Validation Loss Threshold: 0.0001 [2021-10-30 17:19:56 main:477] : INFO : Max Epochs: 2048 [2021-10-30 17:19:56 main:478] : INFO : Batch Size: 128 [2021-10-30 17:19:56 main:479] : INFO : Learning Rate: 0.01 [2021-10-30 17:19:56 main:480] : INFO : Patience: 10 [2021-10-30 17:19:56 main:481] : INFO : Hidden Width: 12 [2021-10-30 17:19:56 main:482] : INFO : # Recurrent Layers: 4 [2021-10-30 17:19:56 main:483] : INFO : # Backend Layers: 4 [2021-10-30 17:19:56 main:484] : INFO : # Threads: 1 [2021-10-30 17:19:56 main:486] : INFO : Preparing Dataset [2021-10-30 17:19:57 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-10-30 17:20:04 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-10-30 17:21:46 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2021-10-30 17:21:46 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-10-30 17:21:47 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-10-30 17:21:49 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2021-10-30 17:21:50 main:494] : INFO : Creating Model [2021-10-30 17:21:50 main:507] : INFO : Preparing config file [2021-10-30 17:21:50 main:511] : INFO : Found checkpoint, attempting to load... [2021-10-30 17:21:50 main:512] : INFO : Loading config [2021-10-30 17:21:50 main:514] : INFO : Loading state [2021-10-30 17:22:34 main:559] : INFO : Loading DataLoader into Memory [2021-10-30 17:22:35 main:562] : INFO : Starting Training [2021-10-30 17:23:06 main:574] : INFO : Epoch 1989 | loss: 0.03121 | val_loss: 0.0311898 | Time: 31579.2 ms [2021-10-30 17:23:30 main:574] : INFO : Epoch 1990 | loss: 0.0311562 | val_loss: 0.0311727 | Time: 22630.1 ms [2021-10-30 17:24:31 main:574] : INFO : Epoch 1991 | loss: 0.0311485 | val_loss: 0.0311729 | Time: 60662.4 ms [2021-10-30 17:24:59 main:574] : INFO : Epoch 1992 | loss: 0.0311454 | val_loss: 0.0311711 | Time: 27872.4 ms [2021-10-30 17:25:34 main:574] : INFO : Epoch 1993 | loss: 0.0311453 | val_loss: 0.0311761 | Time: 35628.5 ms [2021-10-30 17:26:51 main:574] : INFO : Epoch 1994 | loss: 0.031145 | val_loss: 0.0311768 | Time: 76033.1 ms [2021-10-30 17:27:21 main:574] : INFO : Epoch 1995 | loss: 0.0311447 | val_loss: 0.0311793 | Time: 29457.2 ms [2021-10-30 17:28:15 main:574] : INFO : Epoch 1996 | loss: 0.0311442 | val_loss: 0.0311767 | Time: 53325.4 ms [2021-10-30 17:28:41 main:574] : INFO : Epoch 1997 | loss: 0.0311416 | val_loss: 0.0311769 | Time: 26294.7 ms [2021-10-30 17:29:12 main:574] : INFO : Epoch 1998 | loss: 0.0311401 | val_loss: 0.031175 | Time: 30307.8 ms [2021-10-30 17:30:18 main:574] : INFO : Epoch 1999 | loss: 0.0311395 | val_loss: 0.0311739 | Time: 65718.8 ms [2021-10-30 17:30:43 main:574] : INFO : Epoch 2000 | loss: 0.0311421 | val_loss: 0.03117 | Time: 24753.4 ms [2021-10-30 17:31:16 main:574] : INFO : Epoch 2001 | loss: 0.031144 | val_loss: 0.0311735 | Time: 32256 ms [2021-10-30 17:32:13 main:574] : INFO : Epoch 2002 | loss: 0.0311424 | val_loss: 0.0311722 | Time: 56830.6 ms [2021-10-30 17:33:12 main:574] : INFO : Epoch 2003 | loss: 0.031142 | val_loss: 0.0311753 | Time: 59698.1 ms [2021-10-30 17:33:45 main:574] : INFO : Epoch 2004 | loss: 0.0311418 | val_loss: 0.031177 | Time: 32748.8 ms Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: NVIDIA GeForce GTX 950M) [2021-11-04 20:53:53 main:435] : INFO : Set logging level to 1 [2021-11-04 20:53:55 main:441] : INFO : Running in BOINC Client mode [2021-11-04 20:53:55 main:444] : INFO : Resolving all filenames [2021-11-04 20:53:57 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 (exists = 1) [2021-11-04 20:53:58 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1634614858-16532-2_0_r1830690123_1 (exists = 1) [2021-11-04 20:54:00 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1634614858-16532-2_0_r1830690123_0 (exists = 0) [2021-11-04 20:54:01 main:452] : INFO : Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1634614858-16532-2 (exists = 1) [2021-11-04 20:54:02 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1) [2021-11-04 20:54:02 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 [2021-11-04 20:54:03 main:474] : INFO : Configuration: [2021-11-04 20:54:04 main:475] : INFO : Model type: GRU [2021-11-04 20:54:04 main:476] : INFO : Validation Loss Threshold: 0.0001 [2021-11-04 20:54:05 main:477] : INFO : Max Epochs: 2048 [2021-11-04 20:54:06 main:478] : INFO : Batch Size: 128 [2021-11-04 20:54:07 main:479] : INFO : Learning Rate: 0.01 [2021-11-04 20:54:07 main:480] : INFO : Patience: 10 [2021-11-04 20:54:08 main:481] : INFO : Hidden Width: 12 [2021-11-04 20:54:08 main:482] : INFO : # Recurrent Layers: 4 [2021-11-04 20:54:09 main:483] : INFO : # Backend Layers: 4 [2021-11-04 20:54:10 main:484] : INFO : # Threads: 1 [2021-11-04 20:54:10 main:486] : INFO : Preparing Dataset [2021-11-04 20:54:11 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-11-04 20:54:25 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-11-04 20:55:09 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2021-11-04 20:55:09 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-11-04 20:55:09 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-11-04 20:55:10 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2021-11-04 20:55:10 main:494] : INFO : Creating Model [2021-11-04 20:55:10 main:507] : INFO : Preparing config file [2021-11-04 20:55:10 main:511] : INFO : Found checkpoint, attempting to load... [2021-11-04 20:55:11 main:512] : INFO : Loading config [2021-11-04 20:55:11 main:514] : INFO : Loading state [2021-11-04 20:55:22 main:559] : INFO : Loading DataLoader into Memory [2021-11-04 20:55:22 main:562] : INFO : Starting Training [2021-11-04 20:55:31 main:574] : INFO : Epoch 2005 | loss: 0.0312131 | val_loss: 0.0312102 | Time: 8604 ms [2021-11-04 20:55:34 main:574] : INFO : Epoch 2006 | loss: 0.0311511 | val_loss: 0.0311824 | Time: 3233.57 ms [2021-11-04 20:55:38 main:574] : INFO : Epoch 2007 | loss: 0.0311428 | val_loss: 0.0311768 | Time: 3234.54 ms [2021-11-04 20:55:41 main:574] : INFO : Epoch 2008 | loss: 0.0311459 | val_loss: 0.0311728 | Time: 3234.13 ms [2021-11-04 20:55:44 main:574] : INFO : Epoch 2009 | loss: 0.0311429 | val_loss: 0.031173 | Time: 3240.71 ms [2021-11-04 20:55:48 main:574] : INFO : Epoch 2010 | loss: 0.0311382 | val_loss: 0.0311781 | Time: 3273.29 ms [2021-11-04 20:55:51 main:574] : INFO : Epoch 2011 | loss: 0.0311391 | val_loss: 0.03118 | Time: 3290.15 ms [2021-11-04 20:55:55 main:574] : INFO : Epoch 2012 | loss: 0.0311415 | val_loss: 0.0311749 | Time: 3571.96 ms [2021-11-04 20:55:59 main:574] : INFO : Epoch 2013 | loss: 0.0311395 | val_loss: 0.031177 | Time: 3435.4 ms [2021-11-04 20:56:02 main:574] : INFO : Epoch 2014 | loss: 0.0311391 | val_loss: 0.0311751 | Time: 3278.39 ms [2021-11-04 20:56:05 main:574] : INFO : Epoch 2015 | loss: 0.0311381 | val_loss: 0.0311748 | Time: 3304.82 ms [2021-11-04 20:56:09 main:574] : INFO : Epoch 2016 | loss: 0.0311394 | val_loss: 0.0311752 | Time: 3303.01 ms [2021-11-04 20:56:13 main:574] : INFO : Epoch 2017 | loss: 0.0311396 | val_loss: 0.0311764 | Time: 3527.38 ms [2021-11-04 20:56:17 main:574] : INFO : Epoch 2018 | loss: 0.0311417 | val_loss: 0.0311721 | Time: 3907.55 ms [2021-11-04 20:56:22 main:574] : INFO : Epoch 2019 | loss: 0.031141 | val_loss: 0.0311769 | Time: 3569.04 ms [2021-11-04 20:56:26 main:574] : INFO : Epoch 2020 | loss: 0.0311466 | val_loss: 0.0311762 | Time: 3544.59 ms [2021-11-04 20:56:30 main:574] : INFO : Epoch 2021 | loss: 0.0311448 | val_loss: 0.0311726 | Time: 3478.61 ms [2021-11-04 20:56:34 main:574] : INFO : Epoch 2022 | loss: 0.0311415 | val_loss: 0.0311729 | Time: 3455.59 ms [2021-11-04 20:56:38 main:574] : INFO : Epoch 2023 | loss: 0.0311401 | val_loss: 0.0311728 | Time: 4107.53 ms [2021-11-04 20:56:43 main:574] : INFO : Epoch 2024 | loss: 0.0311413 | val_loss: 0.0311738 | Time: 3845.7 ms [2021-11-04 20:56:47 main:574] : INFO : Epoch 2025 | loss: 0.0311406 | val_loss: 0.0311742 | Time: 4023.85 ms [2021-11-04 20:56:51 main:574] : INFO : Epoch 2026 | loss: 0.0311404 | val_loss: 0.0311761 | Time: 3676.94 ms [2021-11-04 20:56:54 main:574] : INFO : Epoch 2027 | loss: 0.0311406 | val_loss: 0.0311766 | Time: 3748.15 ms [2021-11-04 20:56:59 main:574] : INFO : Epoch 2028 | loss: 0.031143 | val_loss: 0.0311839 | Time: 4109.23 ms [2021-11-04 20:57:03 main:574] : INFO : Epoch 2029 | loss: 0.0311423 | val_loss: 0.0311777 | Time: 3820.3 ms [2021-11-04 20:57:06 main:574] : INFO : Epoch 2030 | loss: 0.0311394 | val_loss: 0.0311738 | Time: 3620.53 ms [2021-11-04 20:57:10 main:574] : INFO : Epoch 2031 | loss: 0.0311388 | val_loss: 0.0311773 | Time: 3629.87 ms [2021-11-04 20:57:14 main:574] : INFO : Epoch 2032 | loss: 0.0311383 | val_loss: 0.0311771 | Time: 3726.15 ms [2021-11-04 20:57:18 main:574] : INFO : Epoch 2033 | loss: 0.0311405 | val_loss: 0.0311761 | Time: 4056.22 ms [2021-11-04 20:57:23 main:574] : INFO : Epoch 2034 | loss: 0.0311375 | val_loss: 0.0311775 | Time: 4178.72 ms [2021-11-04 20:57:27 main:574] : INFO : Epoch 2035 | loss: 0.0311352 | val_loss: 0.0311741 | Time: 4217.92 ms [2021-11-04 20:57:31 main:574] : INFO : Epoch 2036 | loss: 0.0311356 | val_loss: 0.0311723 | Time: 3787.7 ms [2021-11-04 20:57:35 main:574] : INFO : Epoch 2037 | loss: 0.0311369 | val_loss: 0.0311719 | Time: 3759.61 ms [2021-11-04 20:57:39 main:574] : INFO : Epoch 2038 | loss: 0.0311392 | val_loss: 0.0311757 | Time: 4087.88 ms [2021-11-04 20:57:44 main:574] : INFO : Epoch 2039 | loss: 0.0311384 | val_loss: 0.0311747 | Time: 4247.93 ms [2021-11-04 20:57:48 main:574] : INFO : Epoch 2040 | loss: 0.0311391 | val_loss: 0.0311752 | Time: 4293.45 ms [2021-11-04 20:57:53 main:574] : INFO : Epoch 2041 | loss: 0.0311409 | val_loss: 0.0311724 | Time: 4161.55 ms [2021-11-04 20:57:57 main:574] : INFO : Epoch 2042 | loss: 0.0311453 | val_loss: 0.0311721 | Time: 4566.67 ms [2021-11-04 20:58:02 main:574] : INFO : Epoch 2043 | loss: 0.0311499 | val_loss: 0.0311692 | Time: 4413.27 ms [2021-11-04 20:58:06 main:574] : INFO : Epoch 2044 | loss: 0.0311464 | val_loss: 0.031171 | Time: 3729.66 ms [2021-11-04 20:58:22 main:574] : INFO : Epoch 2045 | loss: 0.0311447 | val_loss: 0.0311746 | Time: 5122.35 ms [2021-11-04 20:58:26 main:574] : INFO : Epoch 2046 | loss: 0.0311438 | val_loss: 0.03117 | Time: 3969.93 ms [2021-11-04 20:58:31 main:574] : INFO : Epoch 2047 | loss: 0.0311445 | val_loss: 0.0311736 | Time: 3835.15 ms [2021-11-04 20:58:35 main:574] : INFO : Epoch 2048 | loss: 0.0311425 | val_loss: 0.0311756 | Time: 4185.44 ms [2021-11-04 20:58:35 main:597] : INFO : Saving trained model to model-final.pt, val_loss 0.0311756 [2021-11-04 20:58:35 main:603] : INFO : Saving end state to config to file [2021-11-04 20:58:35 main:608] : INFO : Success, exiting.. 20:58:36 (13320): 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)