Task 5187363

Name ParityModified-1619580407-24047-2_0
Workunit 3117005
Created 14 May 2021, 6:17:15 UTC
Sent 22 May 2021, 8:28:53 UTC
Report deadline 29 May 2021, 8:28:53 UTC
Received 22 May 2021, 21:38:03 UTC
Server state Over
Outcome Success
Client state Done
Exit status 0 (0x00000000)
Computer ID 1764
Run time 5 hours 39 min 49 sec
CPU time 5 hours 38 min 9 sec
Validate state Valid
Credit 4,160.00
Device peak FLOPS 9,398.37 GFLOPS
Application version Machine Learning Dataset Generator (GPU) v9.75 (cuda10200)
windows_x86_64
Peak working set size 1.65 GB
Peak swap size 2.75 GB
Peak disk usage 1.54 GB

Stderr output

<core_client_version>7.16.11</core_client_version>
<![CDATA[
<stderr_txt>
676 | loss: 0.0311457 | val_loss: 0.031185 | Time: 9640.18 ms
[2021-05-22 08:09:25	                main:574]	:	INFO	:	Epoch 1677 | loss: 0.0311465 | val_loss: 0.0311905 | Time: 9689.86 ms
[2021-05-22 08:09:34	                main:574]	:	INFO	:	Epoch 1678 | loss: 0.0311474 | val_loss: 0.0311878 | Time: 9596.08 ms
[2021-05-22 08:09:44	                main:574]	:	INFO	:	Epoch 1679 | loss: 0.031146 | val_loss: 0.0311895 | Time: 9676.32 ms
[2021-05-22 08:09:54	                main:574]	:	INFO	:	Epoch 1680 | loss: 0.0311449 | val_loss: 0.0311862 | Time: 9695.41 ms
[2021-05-22 08:10:04	                main:574]	:	INFO	:	Epoch 1681 | loss: 0.0311451 | val_loss: 0.0311862 | Time: 9658.32 ms
[2021-05-22 08:10:13	                main:574]	:	INFO	:	Epoch 1682 | loss: 0.0311466 | val_loss: 0.031193 | Time: 9719.34 ms
[2021-05-22 08:10:23	                main:574]	:	INFO	:	Epoch 1683 | loss: 0.031147 | val_loss: 0.0311866 | Time: 9698.37 ms
[2021-05-22 08:10:33	                main:574]	:	INFO	:	Epoch 1684 | loss: 0.0311468 | val_loss: 0.0311895 | Time: 9728.58 ms
[2021-05-22 08:10:43	                main:574]	:	INFO	:	Epoch 1685 | loss: 0.0311433 | val_loss: 0.0311968 | Time: 9898.23 ms
[2021-05-22 08:10:52	                main:574]	:	INFO	:	Epoch 1686 | loss: 0.0311455 | val_loss: 0.0312013 | Time: 9697.25 ms
[2021-05-22 08:11:02	                main:574]	:	INFO	:	Epoch 1687 | loss: 0.0311505 | val_loss: 0.0311866 | Time: 9678.56 ms
[2021-05-22 08:11:12	                main:574]	:	INFO	:	Epoch 1688 | loss: 0.0311515 | val_loss: 0.031187 | Time: 9761.84 ms
[2021-05-22 08:11:22	                main:574]	:	INFO	:	Epoch 1689 | loss: 0.031153 | val_loss: 0.0311854 | Time: 9764.26 ms
[2021-05-22 08:11:31	                main:574]	:	INFO	:	Epoch 1690 | loss: 0.0311489 | val_loss: 0.0311857 | Time: 9683.74 ms
[2021-05-22 08:11:41	                main:574]	:	INFO	:	Epoch 1691 | loss: 0.031151 | val_loss: 0.0311898 | Time: 9922.15 ms
[2021-05-22 08:11:51	                main:574]	:	INFO	:	Epoch 1692 | loss: 0.0311476 | val_loss: 0.0311837 | Time: 9698.8 ms
[2021-05-22 08:12:01	                main:574]	:	INFO	:	Epoch 1693 | loss: 0.0311477 | val_loss: 0.0311862 | Time: 9745.66 ms
[2021-05-22 08:12:11	                main:574]	:	INFO	:	Epoch 1694 | loss: 0.0311455 | val_loss: 0.0311837 | Time: 9759.42 ms
[2021-05-22 08:12:20	                main:574]	:	INFO	:	Epoch 1695 | loss: 0.0311437 | val_loss: 0.0311849 | Time: 9687.31 ms
[2021-05-22 08:12:30	                main:574]	:	INFO	:	Epoch 1696 | loss: 0.0311515 | val_loss: 0.0311888 | Time: 9722.93 ms
[2021-05-22 08:12:40	                main:574]	:	INFO	:	Epoch 1697 | loss: 0.0311457 | val_loss: 0.0311931 | Time: 9736.1 ms
[2021-05-22 08:12:50	                main:574]	:	INFO	:	Epoch 1698 | loss: 0.0311453 | val_loss: 0.0311854 | Time: 9771.28 ms
[2021-05-22 08:12:59	                main:574]	:	INFO	:	Epoch 1699 | loss: 0.0311418 | val_loss: 0.0311911 | Time: 9636.17 ms
[2021-05-22 08:13:09	                main:574]	:	INFO	:	Epoch 1700 | loss: 0.0311438 | val_loss: 0.0311899 | Time: 9735.75 ms
[2021-05-22 08:13:19	                main:574]	:	INFO	:	Epoch 1701 | loss: 0.0311436 | val_loss: 0.0311803 | Time: 9740.05 ms
[2021-05-22 08:13:29	                main:574]	:	INFO	:	Epoch 1702 | loss: 0.0311519 | val_loss: 0.0312012 | Time: 9678.34 ms
[2021-05-22 08:13:38	                main:574]	:	INFO	:	Epoch 1703 | loss: 0.0311555 | val_loss: 0.0311877 | Time: 9678.01 ms
[2021-05-22 08:13:48	                main:574]	:	INFO	:	Epoch 1704 | loss: 0.0311489 | val_loss: 0.0311925 | Time: 9770.82 ms
[2021-05-22 08:13:58	                main:574]	:	INFO	:	Epoch 1705 | loss: 0.0311635 | val_loss: 0.0311855 | Time: 9719.1 ms
[2021-05-22 08:14:07	                main:574]	:	INFO	:	Epoch 1706 | loss: 0.031155 | val_loss: 0.0311822 | Time: 9699.9 ms
[2021-05-22 08:14:17	                main:574]	:	INFO	:	Epoch 1707 | loss: 0.0311498 | val_loss: 0.0311872 | Time: 9650.61 ms
[2021-05-22 08:14:27	                main:574]	:	INFO	:	Epoch 1708 | loss: 0.031151 | val_loss: 0.0312007 | Time: 9691.81 ms
[2021-05-22 08:14:37	                main:574]	:	INFO	:	Epoch 1709 | loss: 0.0311486 | val_loss: 0.031187 | Time: 9670.66 ms
[2021-05-22 08:14:46	                main:574]	:	INFO	:	Epoch 1710 | loss: 0.0311447 | val_loss: 0.03119 | Time: 9710.03 ms
[2021-05-22 08:14:56	                main:574]	:	INFO	:	Epoch 1711 | loss: 0.0311445 | val_loss: 0.0311855 | Time: 9673.18 ms
[2021-05-22 08:15:06	                main:574]	:	INFO	:	Epoch 1712 | loss: 0.0311482 | val_loss: 0.0311844 | Time: 9710.47 ms
[2021-05-22 08:15:16	                main:574]	:	INFO	:	Epoch 1713 | loss: 0.0311488 | val_loss: 0.0311838 | Time: 9710.43 ms
[2021-05-22 08:15:25	                main:574]	:	INFO	:	Epoch 1714 | loss: 0.0311465 | val_loss: 0.0311916 | Time: 9689.77 ms
[2021-05-22 08:15:35	                main:574]	:	INFO	:	Epoch 1715 | loss: 0.0311452 | val_loss: 0.0311899 | Time: 9664.94 ms
[2021-05-22 08:15:45	                main:574]	:	INFO	:	Epoch 1716 | loss: 0.0311476 | val_loss: 0.0311836 | Time: 9709.13 ms
[2021-05-22 08:15:54	                main:574]	:	INFO	:	Epoch 1717 | loss: 0.031146 | val_loss: 0.0312093 | Time: 9714.6 ms
[2021-05-22 08:16:04	                main:574]	:	INFO	:	Epoch 1718 | loss: 0.0311466 | val_loss: 0.0311895 | Time: 9821.29 ms
[2021-05-22 08:16:14	                main:574]	:	INFO	:	Epoch 1719 | loss: 0.0311484 | val_loss: 0.0311875 | Time: 9729.1 ms
[2021-05-22 08:16:24	                main:574]	:	INFO	:	Epoch 1720 | loss: 0.0311491 | val_loss: 0.0311896 | Time: 9749.7 ms
[2021-05-22 08:16:34	                main:574]	:	INFO	:	Epoch 1721 | loss: 0.0311452 | val_loss: 0.0311857 | Time: 9858.34 ms
[2021-05-22 08:16:43	                main:574]	:	INFO	:	Epoch 1722 | loss: 0.0311446 | val_loss: 0.0311893 | Time: 9709.51 ms
[2021-05-22 08:16:53	                main:574]	:	INFO	:	Epoch 1723 | loss: 0.0311403 | val_loss: 0.0311873 | Time: 9737.84 ms
[2021-05-22 08:17:03	                main:574]	:	INFO	:	Epoch 1724 | loss: 0.0311459 | val_loss: 0.0311861 | Time: 9698.86 ms
[2021-05-22 08:17:12	                main:574]	:	INFO	:	Epoch 1725 | loss: 0.0311479 | val_loss: 0.0311859 | Time: 9661.94 ms
[2021-05-22 08:17:22	                main:574]	:	INFO	:	Epoch 1726 | loss: 0.0311434 | val_loss: 0.0311898 | Time: 9649.43 ms
[2021-05-22 08:17:32	                main:574]	:	INFO	:	Epoch 1727 | loss: 0.0311398 | val_loss: 0.0311867 | Time: 9584.75 ms
[2021-05-22 08:17:41	                main:574]	:	INFO	:	Epoch 1728 | loss: 0.0311418 | val_loss: 0.0311865 | Time: 9651.82 ms
[2021-05-22 08:17:51	                main:574]	:	INFO	:	Epoch 1729 | loss: 0.0311406 | val_loss: 0.0311936 | Time: 9691.42 ms
[2021-05-22 08:18:01	                main:574]	:	INFO	:	Epoch 1730 | loss: 0.0311436 | val_loss: 0.0311875 | Time: 9659.44 ms
[2021-05-22 08:18:10	                main:574]	:	INFO	:	Epoch 1731 | loss: 0.0311503 | val_loss: 0.0311884 | Time: 9675 ms
[2021-05-22 08:18:20	                main:574]	:	INFO	:	Epoch 1732 | loss: 0.0311447 | val_loss: 0.0311886 | Time: 9683.22 ms
[2021-05-22 08:18:30	                main:574]	:	INFO	:	Epoch 1733 | loss: 0.031143 | val_loss: 0.0311877 | Time: 9622.71 ms
[2021-05-22 08:18:39	                main:574]	:	INFO	:	Epoch 1734 | loss: 0.0311401 | val_loss: 0.0312026 | Time: 9597.68 ms
[2021-05-22 08:18:49	                main:574]	:	INFO	:	Epoch 1735 | loss: 0.0311412 | val_loss: 0.031186 | Time: 9829.23 ms
[2021-05-22 08:18:59	                main:574]	:	INFO	:	Epoch 1736 | loss: 0.031142 | val_loss: 0.0311831 | Time: 9694.89 ms
[2021-05-22 08:19:09	                main:574]	:	INFO	:	Epoch 1737 | loss: 0.0311425 | val_loss: 0.0311884 | Time: 9637.32 ms
[2021-05-22 08:19:18	                main:574]	:	INFO	:	Epoch 1738 | loss: 0.0311439 | val_loss: 0.031187 | Time: 9643.94 ms
[2021-05-22 08:19:28	                main:574]	:	INFO	:	Epoch 1739 | loss: 0.0311413 | val_loss: 0.0311812 | Time: 9672.14 ms
[2021-05-22 08:19:38	                main:574]	:	INFO	:	Epoch 1740 | loss: 0.0311416 | val_loss: 0.0311835 | Time: 9640.24 ms
[2021-05-22 08:19:47	                main:574]	:	INFO	:	Epoch 1741 | loss: 0.03114 | val_loss: 0.0311955 | Time: 9695.31 ms
[2021-05-22 08:19:57	                main:574]	:	INFO	:	Epoch 1742 | loss: 0.031143 | val_loss: 0.0311848 | Time: 9666.99 ms
[2021-05-22 08:20:07	                main:574]	:	INFO	:	Epoch 1743 | loss: 0.0311416 | val_loss: 0.0311866 | Time: 10065.2 ms
[2021-05-22 08:20:17	                main:574]	:	INFO	:	Epoch 1744 | loss: 0.0311423 | val_loss: 0.031189 | Time: 9888.74 ms
[2021-05-22 08:20:27	                main:574]	:	INFO	:	Epoch 1745 | loss: 0.0311425 | val_loss: 0.0311865 | Time: 9702.09 ms
[2021-05-22 08:20:36	                main:574]	:	INFO	:	Epoch 1746 | loss: 0.0311448 | val_loss: 0.0311851 | Time: 9720.65 ms
[2021-05-22 08:20:46	                main:574]	:	INFO	:	Epoch 1747 | loss: 0.0311419 | val_loss: 0.0311899 | Time: 9697.44 ms
[2021-05-22 08:20:56	                main:574]	:	INFO	:	Epoch 1748 | loss: 0.0311435 | val_loss: 0.0311895 | Time: 9774.57 ms
[2021-05-22 08:21:06	                main:574]	:	INFO	:	Epoch 1749 | loss: 0.0311392 | val_loss: 0.0311861 | Time: 9666.17 ms
[2021-05-22 08:21:15	                main:574]	:	INFO	:	Epoch 1750 | loss: 0.0311362 | val_loss: 0.0311899 | Time: 9736.08 ms
[2021-05-22 08:21:25	                main:574]	:	INFO	:	Epoch 1751 | loss: 0.031137 | val_loss: 0.0311861 | Time: 9714.8 ms
[2021-05-22 08:21:35	                main:574]	:	INFO	:	Epoch 1752 | loss: 0.0311393 | val_loss: 0.0311862 | Time: 9684.76 ms
[2021-05-22 08:21:45	                main:574]	:	INFO	:	Epoch 1753 | loss: 0.0311377 | val_loss: 0.0311921 | Time: 9644.6 ms
[2021-05-22 08:21:54	                main:574]	:	INFO	:	Epoch 1754 | loss: 0.031138 | val_loss: 0.0311888 | Time: 9637.47 ms
[2021-05-22 08:22:04	                main:574]	:	INFO	:	Epoch 1755 | loss: 0.0311531 | val_loss: 0.0311826 | Time: 9668.1 ms
[2021-05-22 08:22:14	                main:574]	:	INFO	:	Epoch 1756 | loss: 0.0311488 | val_loss: 0.0311819 | Time: 9746.03 ms
[2021-05-22 08:22:23	                main:574]	:	INFO	:	Epoch 1757 | loss: 0.0311436 | val_loss: 0.03119 | Time: 9709.7 ms
[2021-05-22 08:22:33	                main:574]	:	INFO	:	Epoch 1758 | loss: 0.031147 | val_loss: 0.0311906 | Time: 9673.95 ms
[2021-05-22 08:22:43	                main:574]	:	INFO	:	Epoch 1759 | loss: 0.0311449 | val_loss: 0.0311829 | Time: 9785.76 ms
[2021-05-22 08:22:53	                main:574]	:	INFO	:	Epoch 1760 | loss: 0.0311425 | val_loss: 0.0311915 | Time: 9733.36 ms
[2021-05-22 08:23:03	                main:574]	:	INFO	:	Epoch 1761 | loss: 0.0311471 | val_loss: 0.0311921 | Time: 9965.96 ms
[2021-05-22 08:23:13	                main:574]	:	INFO	:	Epoch 1762 | loss: 0.031152 | val_loss: 0.0311882 | Time: 10597.8 ms
[2021-05-22 08:23:23	                main:574]	:	INFO	:	Epoch 1763 | loss: 0.0311452 | val_loss: 0.0311859 | Time: 9861.27 ms
[2021-05-22 08:23:33	                main:574]	:	INFO	:	Epoch 1764 | loss: 0.0311436 | val_loss: 0.0311856 | Time: 10134 ms
[2021-05-22 08:23:43	                main:574]	:	INFO	:	Epoch 1765 | loss: 0.0311415 | val_loss: 0.0311869 | Time: 9748.67 ms
[2021-05-22 08:23:53	                main:574]	:	INFO	:	Epoch 1766 | loss: 0.0311435 | val_loss: 0.0311932 | Time: 9691.89 ms
[2021-05-22 08:24:03	                main:574]	:	INFO	:	Epoch 1767 | loss: 0.0311485 | val_loss: 0.0311843 | Time: 9796.39 ms
[2021-05-22 08:24:12	                main:574]	:	INFO	:	Epoch 1768 | loss: 0.0311456 | val_loss: 0.0311888 | Time: 9581.92 ms
[2021-05-22 08:24:22	                main:574]	:	INFO	:	Epoch 1769 | loss: 0.0311389 | val_loss: 0.0311861 | Time: 9689.02 ms
[2021-05-22 08:24:32	                main:574]	:	INFO	:	Epoch 1770 | loss: 0.0311406 | val_loss: 0.0311882 | Time: 9631.5 ms
[2021-05-22 08:24:41	                main:574]	:	INFO	:	Epoch 1771 | loss: 0.0311395 | val_loss: 0.0311916 | Time: 9644.5 ms
[2021-05-22 08:24:51	                main:574]	:	INFO	:	Epoch 1772 | loss: 0.0311412 | val_loss: 0.0311967 | Time: 9650.19 ms
[2021-05-22 08:25:01	                main:574]	:	INFO	:	Epoch 1773 | loss: 0.0311395 | val_loss: 0.0311854 | Time: 9677.09 ms
[2021-05-22 08:25:10	                main:574]	:	INFO	:	Epoch 1774 | loss: 0.0311402 | val_loss: 0.0311922 | Time: 9673.64 ms
[2021-05-22 08:25:20	                main:574]	:	INFO	:	Epoch 1775 | loss: 0.0311415 | val_loss: 0.0311975 | Time: 9659.98 ms
[2021-05-22 08:25:30	                main:574]	:	INFO	:	Epoch 1776 | loss: 0.0311526 | val_loss: 0.0311833 | Time: 9723.37 ms
[2021-05-22 08:25:40	                main:574]	:	INFO	:	Epoch 1777 | loss: 0.0311543 | val_loss: 0.0311822 | Time: 9676.78 ms
[2021-05-22 08:25:49	                main:574]	:	INFO	:	Epoch 1778 | loss: 0.0311487 | val_loss: 0.0311822 | Time: 9675.53 ms
[2021-05-22 08:25:59	                main:574]	:	INFO	:	Epoch 1779 | loss: 0.031145 | val_loss: 0.0311869 | Time: 9642.21 ms
[2021-05-22 08:26:09	                main:574]	:	INFO	:	Epoch 1780 | loss: 0.0311415 | val_loss: 0.031182 | Time: 9966.92 ms
[2021-05-22 08:26:19	                main:574]	:	INFO	:	Epoch 1781 | loss: 0.0311404 | val_loss: 0.0311878 | Time: 9673.89 ms
[2021-05-22 08:26:28	                main:574]	:	INFO	:	Epoch 1782 | loss: 0.0311384 | val_loss: 0.0311857 | Time: 9651.69 ms
[2021-05-22 08:26:38	                main:574]	:	INFO	:	Epoch 1783 | loss: 0.0311401 | val_loss: 0.0311858 | Time: 9757.47 ms
[2021-05-22 08:26:48	                main:574]	:	INFO	:	Epoch 1784 | loss: 0.0311389 | val_loss: 0.0311872 | Time: 9672.77 ms
[2021-05-22 08:26:57	                main:574]	:	INFO	:	Epoch 1785 | loss: 0.0311408 | val_loss: 0.0311844 | Time: 9665.22 ms
[2021-05-22 08:27:07	                main:574]	:	INFO	:	Epoch 1786 | loss: 0.0311377 | val_loss: 0.0311902 | Time: 9563.32 ms
[2021-05-22 08:27:17	                main:574]	:	INFO	:	Epoch 1787 | loss: 0.0311348 | val_loss: 0.0311918 | Time: 9647.66 ms
[2021-05-22 08:27:26	                main:574]	:	INFO	:	Epoch 1788 | loss: 0.0311397 | val_loss: 0.0311887 | Time: 9675.38 ms
[2021-05-22 08:27:36	                main:574]	:	INFO	:	Epoch 1789 | loss: 0.0311398 | val_loss: 0.0311879 | Time: 9693.59 ms
[2021-05-22 08:27:46	                main:574]	:	INFO	:	Epoch 1790 | loss: 0.0311355 | val_loss: 0.0311931 | Time: 9663.51 ms
[2021-05-22 08:27:55	                main:574]	:	INFO	:	Epoch 1791 | loss: 0.031135 | val_loss: 0.0311926 | Time: 9692.07 ms
[2021-05-22 08:28:05	                main:574]	:	INFO	:	Epoch 1792 | loss: 0.031134 | val_loss: 0.031187 | Time: 9667.66 ms
[2021-05-22 08:28:15	                main:574]	:	INFO	:	Epoch 1793 | loss: 0.0311359 | val_loss: 0.0311887 | Time: 9675.58 ms
[2021-05-22 08:28:24	                main:574]	:	INFO	:	Epoch 1794 | loss: 0.0311384 | val_loss: 0.0311919 | Time: 9660.28 ms
[2021-05-22 08:28:34	                main:574]	:	INFO	:	Epoch 1795 | loss: 0.0311384 | val_loss: 0.0311947 | Time: 9674.17 ms
[2021-05-22 08:28:44	                main:574]	:	INFO	:	Epoch 1796 | loss: 0.0311348 | val_loss: 0.0311923 | Time: 9678.69 ms
[2021-05-22 08:28:53	                main:574]	:	INFO	:	Epoch 1797 | loss: 0.0311377 | val_loss: 0.0311884 | Time: 9718.84 ms
[2021-05-22 08:29:03	                main:574]	:	INFO	:	Epoch 1798 | loss: 0.031138 | val_loss: 0.0311916 | Time: 9678.92 ms
[2021-05-22 08:29:13	                main:574]	:	INFO	:	Epoch 1799 | loss: 0.0311419 | val_loss: 0.0311912 | Time: 9709.01 ms
[2021-05-22 08:29:23	                main:574]	:	INFO	:	Epoch 1800 | loss: 0.03114 | val_loss: 0.0311893 | Time: 9734.66 ms
[2021-05-22 08:29:32	                main:574]	:	INFO	:	Epoch 1801 | loss: 0.031138 | val_loss: 0.0311916 | Time: 9655.71 ms
[2021-05-22 08:29:42	                main:574]	:	INFO	:	Epoch 1802 | loss: 0.0311397 | val_loss: 0.031188 | Time: 9616.73 ms
[2021-05-22 08:29:52	                main:574]	:	INFO	:	Epoch 1803 | loss: 0.0311391 | val_loss: 0.0311902 | Time: 9712.29 ms
[2021-05-22 08:30:01	                main:574]	:	INFO	:	Epoch 1804 | loss: 0.0311412 | val_loss: 0.0311928 | Time: 9709.53 ms
[2021-05-22 08:30:11	                main:574]	:	INFO	:	Epoch 1805 | loss: 0.0311398 | val_loss: 0.0311965 | Time: 9694.38 ms
[2021-05-22 08:30:21	                main:574]	:	INFO	:	Epoch 1806 | loss: 0.0311387 | val_loss: 0.0311985 | Time: 9777.21 ms
[2021-05-22 08:30:31	                main:574]	:	INFO	:	Epoch 1807 | loss: 0.0311402 | val_loss: 0.0311904 | Time: 9630.15 ms
[2021-05-22 08:30:40	                main:574]	:	INFO	:	Epoch 1808 | loss: 0.0311366 | val_loss: 0.0311825 | Time: 9711.69 ms
[2021-05-22 08:30:50	                main:574]	:	INFO	:	Epoch 1809 | loss: 0.0311396 | val_loss: 0.0311864 | Time: 9707.04 ms
[2021-05-22 08:31:00	                main:574]	:	INFO	:	Epoch 1810 | loss: 0.0311397 | val_loss: 0.0311828 | Time: 9624.09 ms
[2021-05-22 08:31:09	                main:574]	:	INFO	:	Epoch 1811 | loss: 0.0311382 | val_loss: 0.0311832 | Time: 9745.96 ms
[2021-05-22 08:31:19	                main:574]	:	INFO	:	Epoch 1812 | loss: 0.0311375 | val_loss: 0.0311879 | Time: 9670.25 ms
[2021-05-22 08:31:29	                main:574]	:	INFO	:	Epoch 1813 | loss: 0.0311385 | val_loss: 0.0311854 | Time: 9666.57 ms
[2021-05-22 08:31:38	                main:574]	:	INFO	:	Epoch 1814 | loss: 0.0311391 | val_loss: 0.0311938 | Time: 9744.88 ms
[2021-05-22 08:31:48	                main:574]	:	INFO	:	Epoch 1815 | loss: 0.0311402 | val_loss: 0.0311898 | Time: 9784.82 ms
[2021-05-22 08:31:58	                main:574]	:	INFO	:	Epoch 1816 | loss: 0.0311418 | val_loss: 0.031185 | Time: 9691.54 ms
[2021-05-22 08:32:08	                main:574]	:	INFO	:	Epoch 1817 | loss: 0.0311458 | val_loss: 0.0311883 | Time: 9651.14 ms
[2021-05-22 08:32:17	                main:574]	:	INFO	:	Epoch 1818 | loss: 0.0311445 | val_loss: 0.0311823 | Time: 9626.79 ms
[2021-05-22 08:32:27	                main:574]	:	INFO	:	Epoch 1819 | loss: 0.0311446 | val_loss: 0.0311881 | Time: 9800.32 ms
[2021-05-22 08:32:37	                main:574]	:	INFO	:	Epoch 1820 | loss: 0.0311416 | val_loss: 0.0311858 | Time: 9716.43 ms
[2021-05-22 08:32:46	                main:574]	:	INFO	:	Epoch 1821 | loss: 0.0311412 | val_loss: 0.0311829 | Time: 9658.77 ms
[2021-05-22 08:32:56	                main:574]	:	INFO	:	Epoch 1822 | loss: 0.0311449 | val_loss: 0.0311899 | Time: 9667.24 ms
[2021-05-22 08:33:06	                main:574]	:	INFO	:	Epoch 1823 | loss: 0.0311409 | val_loss: 0.0311923 | Time: 9704.83 ms
[2021-05-22 08:33:16	                main:574]	:	INFO	:	Epoch 1824 | loss: 0.0311416 | val_loss: 0.0311964 | Time: 9660.21 ms
[2021-05-22 08:33:25	                main:574]	:	INFO	:	Epoch 1825 | loss: 0.031141 | val_loss: 0.0311965 | Time: 9685.24 ms
[2021-05-22 08:33:35	                main:574]	:	INFO	:	Epoch 1826 | loss: 0.0311388 | val_loss: 0.031197 | Time: 9657.02 ms
[2021-05-22 08:33:45	                main:574]	:	INFO	:	Epoch 1827 | loss: 0.0311378 | val_loss: 0.0311895 | Time: 9738.02 ms
[2021-05-22 08:33:54	                main:574]	:	INFO	:	Epoch 1828 | loss: 0.031141 | val_loss: 0.0311924 | Time: 9740.57 ms
[2021-05-22 08:34:04	                main:574]	:	INFO	:	Epoch 1829 | loss: 0.0311378 | val_loss: 0.0311953 | Time: 9582.25 ms
[2021-05-22 08:34:14	                main:574]	:	INFO	:	Epoch 1830 | loss: 0.0311365 | val_loss: 0.0311907 | Time: 9789.75 ms
[2021-05-22 08:34:24	                main:574]	:	INFO	:	Epoch 1831 | loss: 0.0311399 | val_loss: 0.0311906 | Time: 9769.1 ms
[2021-05-22 08:34:33	                main:574]	:	INFO	:	Epoch 1832 | loss: 0.031136 | val_loss: 0.0311919 | Time: 9656.77 ms
[2021-05-22 08:34:43	                main:574]	:	INFO	:	Epoch 1833 | loss: 0.0311338 | val_loss: 0.0311971 | Time: 9716.18 ms
[2021-05-22 08:34:53	                main:574]	:	INFO	:	Epoch 1834 | loss: 0.0311375 | val_loss: 0.0311911 | Time: 9741.63 ms
[2021-05-22 08:35:02	                main:574]	:	INFO	:	Epoch 1835 | loss: 0.0311361 | val_loss: 0.0311949 | Time: 9626.1 ms
[2021-05-22 08:35:12	                main:574]	:	INFO	:	Epoch 1836 | loss: 0.0311336 | val_loss: 0.0311903 | Time: 9682.87 ms
[2021-05-22 08:35:22	                main:574]	:	INFO	:	Epoch 1837 | loss: 0.0311332 | val_loss: 0.0311902 | Time: 9662.49 ms
[2021-05-22 08:35:32	                main:574]	:	INFO	:	Epoch 1838 | loss: 0.0311363 | val_loss: 0.0311902 | Time: 9711.23 ms
[2021-05-22 08:35:41	                main:574]	:	INFO	:	Epoch 1839 | loss: 0.0311419 | val_loss: 0.0311873 | Time: 9696.11 ms
[2021-05-22 08:35:51	                main:574]	:	INFO	:	Epoch 1840 | loss: 0.031142 | val_loss: 0.0311959 | Time: 9624.01 ms
[2021-05-22 08:36:01	                main:574]	:	INFO	:	Epoch 1841 | loss: 0.0311506 | val_loss: 0.0311903 | Time: 9652.63 ms
[2021-05-22 08:36:11	                main:574]	:	INFO	:	Epoch 1842 | loss: 0.0311478 | val_loss: 0.0311976 | Time: 9915.94 ms
[2021-05-22 08:36:20	                main:574]	:	INFO	:	Epoch 1843 | loss: 0.0311487 | val_loss: 0.0311893 | Time: 9692.64 ms
[2021-05-22 08:36:30	                main:574]	:	INFO	:	Epoch 1844 | loss: 0.0311364 | val_loss: 0.0311907 | Time: 9673.78 ms
[2021-05-22 08:36:40	                main:574]	:	INFO	:	Epoch 1845 | loss: 0.0311335 | val_loss: 0.0311941 | Time: 9756.87 ms
[2021-05-22 08:36:49	                main:574]	:	INFO	:	Epoch 1846 | loss: 0.0311319 | val_loss: 0.0311934 | Time: 9781.82 ms
[2021-05-22 08:36:59	                main:574]	:	INFO	:	Epoch 1847 | loss: 0.0311355 | val_loss: 0.0311925 | Time: 9584.1 ms
[2021-05-22 08:37:09	                main:574]	:	INFO	:	Epoch 1848 | loss: 0.0311447 | val_loss: 0.031181 | Time: 9703.8 ms
[2021-05-22 08:37:18	                main:574]	:	INFO	:	Epoch 1849 | loss: 0.0311488 | val_loss: 0.0311897 | Time: 9718.03 ms
[2021-05-22 08:37:28	                main:574]	:	INFO	:	Epoch 1850 | loss: 0.0311613 | val_loss: 0.0311796 | Time: 9700.99 ms
[2021-05-22 08:37:38	                main:574]	:	INFO	:	Epoch 1851 | loss: 0.0311569 | val_loss: 0.0311764 | Time: 9688.06 ms
[2021-05-22 08:37:48	                main:574]	:	INFO	:	Epoch 1852 | loss: 0.0311524 | val_loss: 0.0311801 | Time: 9900.76 ms
[2021-05-22 08:37:57	                main:574]	:	INFO	:	Epoch 1853 | loss: 0.0311498 | val_loss: 0.0311834 | Time: 9629.9 ms
[2021-05-22 08:38:07	                main:574]	:	INFO	:	Epoch 1854 | loss: 0.0311485 | val_loss: 0.031192 | Time: 9697.24 ms
[2021-05-22 08:38:17	                main:574]	:	INFO	:	Epoch 1855 | loss: 0.0311451 | val_loss: 0.031188 | Time: 9651.08 ms
[2021-05-22 08:38:27	                main:574]	:	INFO	:	Epoch 1856 | loss: 0.0311384 | val_loss: 0.0311863 | Time: 9705.3 ms
[2021-05-22 08:38:36	                main:574]	:	INFO	:	Epoch 1857 | loss: 0.0311388 | val_loss: 0.031191 | Time: 9710.04 ms
[2021-05-22 08:38:46	                main:574]	:	INFO	:	Epoch 1858 | loss: 0.031135 | val_loss: 0.0311887 | Time: 9693.47 ms
[2021-05-22 08:38:56	                main:574]	:	INFO	:	Epoch 1859 | loss: 0.0311331 | val_loss: 0.0311857 | Time: 9659.89 ms
[2021-05-22 08:39:05	                main:574]	:	INFO	:	Epoch 1860 | loss: 0.0311326 | val_loss: 0.0311863 | Time: 9774.77 ms
[2021-05-22 08:39:15	                main:574]	:	INFO	:	Epoch 1861 | loss: 0.0311341 | val_loss: 0.0311866 | Time: 9739.82 ms
[2021-05-22 08:39:25	                main:574]	:	INFO	:	Epoch 1862 | loss: 0.0311481 | val_loss: 0.0311859 | Time: 9688.45 ms
[2021-05-22 08:39:35	                main:574]	:	INFO	:	Epoch 1863 | loss: 0.031142 | val_loss: 0.0311857 | Time: 9747.04 ms
[2021-05-22 08:39:44	                main:574]	:	INFO	:	Epoch 1864 | loss: 0.0311396 | val_loss: 0.0311891 | Time: 9681.61 ms
[2021-05-22 08:39:54	                main:574]	:	INFO	:	Epoch 1865 | loss: 0.0311388 | val_loss: 0.0311883 | Time: 9726.66 ms
[2021-05-22 08:40:04	                main:574]	:	INFO	:	Epoch 1866 | loss: 0.0311346 | val_loss: 0.031192 | Time: 9677.57 ms
[2021-05-22 08:40:13	                main:574]	:	INFO	:	Epoch 1867 | loss: 0.0311476 | val_loss: 0.0311863 | Time: 9626.08 ms
[2021-05-22 08:40:23	                main:574]	:	INFO	:	Epoch 1868 | loss: 0.0311664 | val_loss: 0.0311732 | Time: 9724.68 ms
[2021-05-22 08:40:33	                main:574]	:	INFO	:	Epoch 1869 | loss: 0.0311636 | val_loss: 0.0311791 | Time: 9763 ms
[2021-05-22 08:40:43	                main:574]	:	INFO	:	Epoch 1870 | loss: 0.0311568 | val_loss: 0.0311766 | Time: 9805.15 ms
[2021-05-22 08:40:52	                main:574]	:	INFO	:	Epoch 1871 | loss: 0.031153 | val_loss: 0.0311798 | Time: 9671.42 ms
[2021-05-22 08:41:02	                main:574]	:	INFO	:	Epoch 1872 | loss: 0.0311511 | val_loss: 0.0311769 | Time: 9663.05 ms
[2021-05-22 08:41:12	                main:574]	:	INFO	:	Epoch 1873 | loss: 0.0311488 | val_loss: 0.0311826 | Time: 9643.03 ms
[2021-05-22 08:41:22	                main:574]	:	INFO	:	Epoch 1874 | loss: 0.0311526 | val_loss: 0.0311831 | Time: 9695.55 ms
[2021-05-22 08:41:31	                main:574]	:	INFO	:	Epoch 1875 | loss: 0.0311467 | val_loss: 0.0311815 | Time: 9614.3 ms
[2021-05-22 08:41:41	                main:574]	:	INFO	:	Epoch 1876 | loss: 0.0311458 | val_loss: 0.0311869 | Time: 9672.34 ms
[2021-05-22 08:41:51	                main:574]	:	INFO	:	Epoch 1877 | loss: 0.0311458 | val_loss: 0.0311773 | Time: 9706.7 ms
[2021-05-22 08:42:00	                main:574]	:	INFO	:	Epoch 1878 | loss: 0.0311444 | val_loss: 0.03118 | Time: 9609.36 ms
[2021-05-22 08:42:10	                main:574]	:	INFO	:	Epoch 1879 | loss: 0.0311455 | val_loss: 0.0311822 | Time: 9714.48 ms
[2021-05-22 08:42:20	                main:574]	:	INFO	:	Epoch 1880 | loss: 0.031145 | val_loss: 0.031182 | Time: 9675.1 ms
[2021-05-22 08:42:29	                main:574]	:	INFO	:	Epoch 1881 | loss: 0.0311444 | val_loss: 0.0311833 | Time: 9686.66 ms
[2021-05-22 08:42:39	                main:574]	:	INFO	:	Epoch 1882 | loss: 0.0311437 | val_loss: 0.0311779 | Time: 9705.25 ms
[2021-05-22 08:42:49	                main:574]	:	INFO	:	Epoch 1883 | loss: 0.0311434 | val_loss: 0.0311821 | Time: 9656.73 ms
[2021-05-22 08:42:58	                main:574]	:	INFO	:	Epoch 1884 | loss: 0.0311417 | val_loss: 0.0311845 | Time: 9631.8 ms
[2021-05-22 08:43:08	                main:574]	:	INFO	:	Epoch 1885 | loss: 0.0311398 | val_loss: 0.0311811 | Time: 9686.5 ms
[2021-05-22 08:43:18	                main:574]	:	INFO	:	Epoch 1886 | loss: 0.0311415 | val_loss: 0.0311805 | Time: 9676.64 ms
[2021-05-22 08:43:27	                main:574]	:	INFO	:	Epoch 1887 | loss: 0.0311376 | val_loss: 0.0311833 | Time: 9732.52 ms
[2021-05-22 08:43:37	                main:574]	:	INFO	:	Epoch 1888 | loss: 0.0311401 | val_loss: 0.0311823 | Time: 9756.68 ms
[2021-05-22 08:43:47	                main:574]	:	INFO	:	Epoch 1889 | loss: 0.0311414 | val_loss: 0.0311799 | Time: 9685.29 ms
[2021-05-22 08:43:57	                main:574]	:	INFO	:	Epoch 1890 | loss: 0.031138 | val_loss: 0.0311827 | Time: 9655.04 ms
[2021-05-22 08:44:06	                main:574]	:	INFO	:	Epoch 1891 | loss: 0.0311383 | val_loss: 0.0311839 | Time: 9727.01 ms
[2021-05-22 08:44:16	                main:574]	:	INFO	:	Epoch 1892 | loss: 0.031136 | val_loss: 0.0311864 | Time: 9738.43 ms
[2021-05-22 08:44:26	                main:574]	:	INFO	:	Epoch 1893 | loss: 0.0311352 | val_loss: 0.03118 | Time: 9673.24 ms
[2021-05-22 08:44:36	                main:574]	:	INFO	:	Epoch 1894 | loss: 0.0311335 | val_loss: 0.0311808 | Time: 9737.69 ms
[2021-05-22 08:44:45	                main:574]	:	INFO	:	Epoch 1895 | loss: 0.0311335 | val_loss: 0.0311905 | Time: 9688.79 ms
[2021-05-22 08:44:55	                main:574]	:	INFO	:	Epoch 1896 | loss: 0.0311371 | val_loss: 0.0311874 | Time: 9656.45 ms
[2021-05-22 08:45:05	                main:574]	:	INFO	:	Epoch 1897 | loss: 0.0311342 | val_loss: 0.0311894 | Time: 9647.45 ms
[2021-05-22 08:45:14	                main:574]	:	INFO	:	Epoch 1898 | loss: 0.0311359 | val_loss: 0.0311908 | Time: 9715.51 ms
Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: GeForce GTX 1080)
[2021-05-22 09:05:11	                main:435]	:	INFO	:	Set logging level to 1
[2021-05-22 09:05:11	                main:441]	:	INFO	:	Running in BOINC Client mode
[2021-05-22 09:05:11	                main:444]	:	INFO	:	Resolving all filenames
[2021-05-22 09:05:11	                main:452]	:	INFO	:	Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 (exists = 1)
[2021-05-22 09:05:11	                main:452]	:	INFO	:	Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1619580407-24047-2_0_r2064549915_1 (exists = 1)
[2021-05-22 09:05:11	                main:452]	:	INFO	:	Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1619580407-24047-2_0_r2064549915_0 (exists = 0)
[2021-05-22 09:05:12	                main:452]	:	INFO	:	Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1619580407-24047-2 (exists = 1)
[2021-05-22 09:05:12	                main:452]	:	INFO	:	Resolved: snapshot.pt => snapshot.pt (exists = 1)
[2021-05-22 09:05:12	                main:472]	:	INFO	:	Dataset filename: ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5
[2021-05-22 09:05:12	                main:474]	:	INFO	:	Configuration: 
[2021-05-22 09:05:12	                main:475]	:	INFO	:	    Model type: GRU
[2021-05-22 09:05:12	                main:476]	:	INFO	:	    Validation Loss Threshold: 0.0001
[2021-05-22 09:05:12	                main:477]	:	INFO	:	    Max Epochs: 2048
[2021-05-22 09:05:12	                main:478]	:	INFO	:	    Batch Size: 128
[2021-05-22 09:05:12	                main:479]	:	INFO	:	    Learning Rate: 0.01
[2021-05-22 09:05:12	                main:480]	:	INFO	:	    Patience: 10
[2021-05-22 09:05:12	                main:481]	:	INFO	:	    Hidden Width: 12
[2021-05-22 09:05:12	                main:482]	:	INFO	:	    # Recurrent Layers: 4
[2021-05-22 09:05:12	                main:483]	:	INFO	:	    # Backend Layers: 4
[2021-05-22 09:05:12	                main:484]	:	INFO	:	    # Threads: 1
[2021-05-22 09:05:12	                main:486]	:	INFO	:	Preparing Dataset
[2021-05-22 09:05:12	load_hdf5_ds_into_tensor:28]	:	INFO	:	Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory
[2021-05-22 09:05:13	load_hdf5_ds_into_tensor:28]	:	INFO	:	Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory
[2021-05-22 09:05:15	                load:106]	:	INFO	:	Successfully loaded dataset of 2048 examples into memory.
[2021-05-22 09:05:15	load_hdf5_ds_into_tensor:28]	:	INFO	:	Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory
[2021-05-22 09:05:16	load_hdf5_ds_into_tensor:28]	:	INFO	:	Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory
[2021-05-22 09:05:16	                load:106]	:	INFO	:	Successfully loaded dataset of 512 examples into memory.
[2021-05-22 09:05:16	                main:494]	:	INFO	:	Creating Model
[2021-05-22 09:05:16	                main:507]	:	INFO	:	Preparing config file
[2021-05-22 09:05:16	                main:511]	:	INFO	:	Found checkpoint, attempting to load... 
[2021-05-22 09:05:16	                main:512]	:	INFO	:	Loading config
[2021-05-22 09:05:16	                main:514]	:	INFO	:	Loading state
[2021-05-22 09:05:17	                main:559]	:	INFO	:	Loading DataLoader into Memory
[2021-05-22 09:05:17	                main:562]	:	INFO	:	Starting Training
[2021-05-22 09:05:27	                main:574]	:	INFO	:	Epoch 1899 | loss: 0.0312207 | val_loss: 0.0311925 | Time: 10179.1 ms
[2021-05-22 09:05:37	                main:574]	:	INFO	:	Epoch 1900 | loss: 0.0311567 | val_loss: 0.0311799 | Time: 9774.07 ms
[2021-05-22 09:05:47	                main:574]	:	INFO	:	Epoch 1901 | loss: 0.0311466 | val_loss: 0.031183 | Time: 9764.19 ms
[2021-05-22 09:05:56	                main:574]	:	INFO	:	Epoch 1902 | loss: 0.0311487 | val_loss: 0.0311765 | Time: 9712.11 ms
[2021-05-22 09:06:06	                main:574]	:	INFO	:	Epoch 1903 | loss: 0.0311494 | val_loss: 0.0311817 | Time: 9666.75 ms
[2021-05-22 09:06:16	                main:574]	:	INFO	:	Epoch 1904 | loss: 0.0311481 | val_loss: 0.0311862 | Time: 9845.2 ms
[2021-05-22 09:06:26	                main:574]	:	INFO	:	Epoch 1905 | loss: 0.031143 | val_loss: 0.0311774 | Time: 9796.86 ms
[2021-05-22 09:06:36	                main:574]	:	INFO	:	Epoch 1906 | loss: 0.0311408 | val_loss: 0.0311792 | Time: 9648.78 ms
[2021-05-22 09:06:45	                main:574]	:	INFO	:	Epoch 1907 | loss: 0.0311443 | val_loss: 0.031178 | Time: 9786.73 ms
[2021-05-22 09:06:55	                main:574]	:	INFO	:	Epoch 1908 | loss: 0.0311468 | val_loss: 0.0311834 | Time: 9631.25 ms
[2021-05-22 09:07:05	                main:574]	:	INFO	:	Epoch 1909 | loss: 0.0311416 | val_loss: 0.0311808 | Time: 9624.2 ms
[2021-05-22 09:07:14	                main:574]	:	INFO	:	Epoch 1910 | loss: 0.0311392 | val_loss: 0.03118 | Time: 9563.94 ms
[2021-05-22 09:07:24	                main:574]	:	INFO	:	Epoch 1911 | loss: 0.0311403 | val_loss: 0.0311827 | Time: 9590.22 ms
[2021-05-22 09:07:34	                main:574]	:	INFO	:	Epoch 1912 | loss: 0.0311426 | val_loss: 0.0311764 | Time: 9634.33 ms
[2021-05-22 09:07:43	                main:574]	:	INFO	:	Epoch 1913 | loss: 0.0311474 | val_loss: 0.031185 | Time: 9626.19 ms
[2021-05-22 09:07:53	                main:574]	:	INFO	:	Epoch 1914 | loss: 0.0311452 | val_loss: 0.0311744 | Time: 9591.36 ms
[2021-05-22 09:08:03	                main:574]	:	INFO	:	Epoch 1915 | loss: 0.0311406 | val_loss: 0.031179 | Time: 9722.63 ms
[2021-05-22 09:08:12	                main:574]	:	INFO	:	Epoch 1916 | loss: 0.0311413 | val_loss: 0.0311778 | Time: 9637.89 ms
[2021-05-22 09:08:22	                main:574]	:	INFO	:	Epoch 1917 | loss: 0.0311412 | val_loss: 0.0311786 | Time: 9611.92 ms
[2021-05-22 09:08:31	                main:574]	:	INFO	:	Epoch 1918 | loss: 0.03114 | val_loss: 0.0311841 | Time: 9505.77 ms
[2021-05-22 09:08:41	                main:574]	:	INFO	:	Epoch 1919 | loss: 0.031139 | val_loss: 0.0311825 | Time: 9704.42 ms
[2021-05-22 09:08:51	                main:574]	:	INFO	:	Epoch 1920 | loss: 0.0311351 | val_loss: 0.0311823 | Time: 9644.77 ms
[2021-05-22 09:09:00	                main:574]	:	INFO	:	Epoch 1921 | loss: 0.0311364 | val_loss: 0.0311781 | Time: 9589.91 ms
[2021-05-22 09:09:10	                main:574]	:	INFO	:	Epoch 1922 | loss: 0.0311348 | val_loss: 0.031178 | Time: 9582.48 ms
[2021-05-22 09:09:20	                main:574]	:	INFO	:	Epoch 1923 | loss: 0.0311375 | val_loss: 0.0311764 | Time: 9645.3 ms
[2021-05-22 09:09:29	                main:574]	:	INFO	:	Epoch 1924 | loss: 0.0311393 | val_loss: 0.0311821 | Time: 9690.08 ms
Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: GeForce GTX 1080)
[2021-05-22 09:25:06	                main:435]	:	INFO	:	Set logging level to 1
[2021-05-22 09:25:06	                main:441]	:	INFO	:	Running in BOINC Client mode
[2021-05-22 09:25:06	                main:444]	:	INFO	:	Resolving all filenames
[2021-05-22 09:25:06	                main:452]	:	INFO	:	Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 (exists = 1)
[2021-05-22 09:25:06	                main:452]	:	INFO	:	Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1619580407-24047-2_0_r2064549915_1 (exists = 1)
[2021-05-22 09:25:06	                main:452]	:	INFO	:	Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1619580407-24047-2_0_r2064549915_0 (exists = 0)
[2021-05-22 09:25:06	                main:452]	:	INFO	:	Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1619580407-24047-2 (exists = 1)
[2021-05-22 09:25:06	                main:452]	:	INFO	:	Resolved: snapshot.pt => snapshot.pt (exists = 1)
[2021-05-22 09:25:06	                main:472]	:	INFO	:	Dataset filename: ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5
[2021-05-22 09:25:06	                main:474]	:	INFO	:	Configuration: 
[2021-05-22 09:25:06	                main:475]	:	INFO	:	    Model type: GRU
[2021-05-22 09:25:06	                main:476]	:	INFO	:	    Validation Loss Threshold: 0.0001
[2021-05-22 09:25:06	                main:477]	:	INFO	:	    Max Epochs: 2048
[2021-05-22 09:25:06	                main:478]	:	INFO	:	    Batch Size: 128
[2021-05-22 09:25:06	                main:479]	:	INFO	:	    Learning Rate: 0.01
[2021-05-22 09:25:06	                main:480]	:	INFO	:	    Patience: 10
[2021-05-22 09:25:06	                main:481]	:	INFO	:	    Hidden Width: 12
[2021-05-22 09:25:06	                main:482]	:	INFO	:	    # Recurrent Layers: 4
[2021-05-22 09:25:06	                main:483]	:	INFO	:	    # Backend Layers: 4
[2021-05-22 09:25:06	                main:484]	:	INFO	:	    # Threads: 1
[2021-05-22 09:25:06	                main:486]	:	INFO	:	Preparing Dataset
[2021-05-22 09:25:06	load_hdf5_ds_into_tensor:28]	:	INFO	:	Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory
[2021-05-22 09:25:06	load_hdf5_ds_into_tensor:28]	:	INFO	:	Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory
[2021-05-22 09:25:09	                load:106]	:	INFO	:	Successfully loaded dataset of 2048 examples into memory.
[2021-05-22 09:25:09	load_hdf5_ds_into_tensor:28]	:	INFO	:	Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory
[2021-05-22 09:25:09	load_hdf5_ds_into_tensor:28]	:	INFO	:	Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory
[2021-05-22 09:25:09	                load:106]	:	INFO	:	Successfully loaded dataset of 512 examples into memory.
[2021-05-22 09:25:09	                main:494]	:	INFO	:	Creating Model
[2021-05-22 09:25:09	                main:507]	:	INFO	:	Preparing config file
[2021-05-22 09:25:09	                main:511]	:	INFO	:	Found checkpoint, attempting to load... 
[2021-05-22 09:25:09	                main:512]	:	INFO	:	Loading config
[2021-05-22 09:25:09	                main:514]	:	INFO	:	Loading state
[2021-05-22 09:25:10	                main:559]	:	INFO	:	Loading DataLoader into Memory
[2021-05-22 09:25:10	                main:562]	:	INFO	:	Starting Training
[2021-05-22 09:25:20	                main:574]	:	INFO	:	Epoch 1919 | loss: 0.0312621 | val_loss: 0.0312138 | Time: 10191.2 ms
[2021-05-22 09:25:30	                main:574]	:	INFO	:	Epoch 1920 | loss: 0.0311761 | val_loss: 0.0311909 | Time: 9683.48 ms
[2021-05-22 09:25:40	                main:574]	:	INFO	:	Epoch 1921 | loss: 0.0311493 | val_loss: 0.0311779 | Time: 9659.01 ms
[2021-05-22 09:25:49	                main:574]	:	INFO	:	Epoch 1922 | loss: 0.0311439 | val_loss: 0.031178 | Time: 9703.22 ms
[2021-05-22 09:25:59	                main:574]	:	INFO	:	Epoch 1923 | loss: 0.0311416 | val_loss: 0.0311773 | Time: 9648.27 ms
[2021-05-22 09:26:09	                main:574]	:	INFO	:	Epoch 1924 | loss: 0.0311359 | val_loss: 0.0311788 | Time: 9665.77 ms
[2021-05-22 09:26:18	                main:574]	:	INFO	:	Epoch 1925 | loss: 0.0311355 | val_loss: 0.0311835 | Time: 9723.44 ms
[2021-05-22 09:26:28	                main:574]	:	INFO	:	Epoch 1926 | loss: 0.0311384 | val_loss: 0.0311804 | Time: 9837.82 ms
[2021-05-22 09:26:38	                main:574]	:	INFO	:	Epoch 1927 | loss: 0.0311353 | val_loss: 0.0311802 | Time: 9601.82 ms
[2021-05-22 09:26:48	                main:574]	:	INFO	:	Epoch 1928 | loss: 0.0311372 | val_loss: 0.0311775 | Time: 9757.83 ms
[2021-05-22 09:26:57	                main:574]	:	INFO	:	Epoch 1929 | loss: 0.0311388 | val_loss: 0.031174 | Time: 9629.97 ms
[2021-05-22 09:27:07	                main:574]	:	INFO	:	Epoch 1930 | loss: 0.0311378 | val_loss: 0.0311793 | Time: 9648.39 ms
[2021-05-22 09:27:16	                main:574]	:	INFO	:	Epoch 1931 | loss: 0.0311365 | val_loss: 0.0311771 | Time: 9563.2 ms
[2021-05-22 09:27:26	                main:574]	:	INFO	:	Epoch 1932 | loss: 0.0311333 | val_loss: 0.0311806 | Time: 9655.09 ms
[2021-05-22 09:27:36	                main:574]	:	INFO	:	Epoch 1933 | loss: 0.0311363 | val_loss: 0.0311791 | Time: 9548.85 ms
[2021-05-22 09:27:45	                main:574]	:	INFO	:	Epoch 1934 | loss: 0.0311323 | val_loss: 0.0311807 | Time: 9625.52 ms
[2021-05-22 09:27:55	                main:574]	:	INFO	:	Epoch 1935 | loss: 0.0311336 | val_loss: 0.0311812 | Time: 9623.39 ms
[2021-05-22 09:28:05	                main:574]	:	INFO	:	Epoch 1936 | loss: 0.0311336 | val_loss: 0.0311826 | Time: 9603.53 ms
[2021-05-22 09:28:14	                main:574]	:	INFO	:	Epoch 1937 | loss: 0.0311406 | val_loss: 0.0311778 | Time: 9584.09 ms
[2021-05-22 09:28:24	                main:574]	:	INFO	:	Epoch 1938 | loss: 0.0311451 | val_loss: 0.0311824 | Time: 9637.48 ms
[2021-05-22 09:28:34	                main:574]	:	INFO	:	Epoch 1939 | loss: 0.0311434 | val_loss: 0.0311767 | Time: 9528.81 ms
[2021-05-22 09:28:43	                main:574]	:	INFO	:	Epoch 1940 | loss: 0.0311391 | val_loss: 0.0311766 | Time: 9566.02 ms
[2021-05-22 09:28:53	                main:574]	:	INFO	:	Epoch 1941 | loss: 0.0311396 | val_loss: 0.0311813 | Time: 9643.1 ms
[2021-05-22 09:29:02	                main:574]	:	INFO	:	Epoch 1942 | loss: 0.0311327 | val_loss: 0.0311771 | Time: 9533.96 ms
[2021-05-22 09:29:12	                main:574]	:	INFO	:	Epoch 1943 | loss: 0.031134 | val_loss: 0.0311783 | Time: 9562.7 ms
[2021-05-22 09:29:22	                main:574]	:	INFO	:	Epoch 1944 | loss: 0.0311385 | val_loss: 0.031184 | Time: 9687.26 ms
Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: GeForce GTX 1080)
[2021-05-22 09:34:29	                main:435]	:	INFO	:	Set logging level to 1
[2021-05-22 09:34:29	                main:441]	:	INFO	:	Running in BOINC Client mode
[2021-05-22 09:34:29	                main:444]	:	INFO	:	Resolving all filenames
[2021-05-22 09:34:29	                main:452]	:	INFO	:	Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 (exists = 1)
[2021-05-22 09:34:29	                main:452]	:	INFO	:	Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1619580407-24047-2_0_r2064549915_1 (exists = 1)
[2021-05-22 09:34:29	                main:452]	:	INFO	:	Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1619580407-24047-2_0_r2064549915_0 (exists = 0)
[2021-05-22 09:34:29	                main:452]	:	INFO	:	Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1619580407-24047-2 (exists = 1)
[2021-05-22 09:34:29	                main:452]	:	INFO	:	Resolved: snapshot.pt => snapshot.pt (exists = 1)
[2021-05-22 09:34:29	                main:472]	:	INFO	:	Dataset filename: ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5
[2021-05-22 09:34:29	                main:474]	:	INFO	:	Configuration: 
[2021-05-22 09:34:29	                main:475]	:	INFO	:	    Model type: GRU
[2021-05-22 09:34:29	                main:476]	:	INFO	:	    Validation Loss Threshold: 0.0001
[2021-05-22 09:34:29	                main:477]	:	INFO	:	    Max Epochs: 2048
[2021-05-22 09:34:29	                main:478]	:	INFO	:	    Batch Size: 128
[2021-05-22 09:34:29	                main:479]	:	INFO	:	    Learning Rate: 0.01
[2021-05-22 09:34:29	                main:480]	:	INFO	:	    Patience: 10
[2021-05-22 09:34:29	                main:481]	:	INFO	:	    Hidden Width: 12
[2021-05-22 09:34:29	                main:482]	:	INFO	:	    # Recurrent Layers: 4
[2021-05-22 09:34:29	                main:483]	:	INFO	:	    # Backend Layers: 4
[2021-05-22 09:34:29	                main:484]	:	INFO	:	    # Threads: 1
[2021-05-22 09:34:29	                main:486]	:	INFO	:	Preparing Dataset
[2021-05-22 09:34:29	load_hdf5_ds_into_tensor:28]	:	INFO	:	Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory
[2021-05-22 09:34:29	load_hdf5_ds_into_tensor:28]	:	INFO	:	Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory
[2021-05-22 09:34:31	                load:106]	:	INFO	:	Successfully loaded dataset of 2048 examples into memory.
[2021-05-22 09:34:31	load_hdf5_ds_into_tensor:28]	:	INFO	:	Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory
[2021-05-22 09:34:32	load_hdf5_ds_into_tensor:28]	:	INFO	:	Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory
[2021-05-22 09:34:32	                load:106]	:	INFO	:	Successfully loaded dataset of 512 examples into memory.
[2021-05-22 09:34:32	                main:494]	:	INFO	:	Creating Model
[2021-05-22 09:34:32	                main:507]	:	INFO	:	Preparing config file
[2021-05-22 09:34:32	                main:511]	:	INFO	:	Found checkpoint, attempting to load... 
[2021-05-22 09:34:32	                main:512]	:	INFO	:	Loading config
[2021-05-22 09:34:32	                main:514]	:	INFO	:	Loading state
[2021-05-22 09:34:33	                main:559]	:	INFO	:	Loading DataLoader into Memory
[2021-05-22 09:34:33	                main:562]	:	INFO	:	Starting Training
[2021-05-22 09:34:43	                main:574]	:	INFO	:	Epoch 1939 | loss: 0.031214 | val_loss: 0.0311894 | Time: 9942.71 ms
[2021-05-22 09:34:52	                main:574]	:	INFO	:	Epoch 1940 | loss: 0.0311491 | val_loss: 0.0311811 | Time: 9575.15 ms
[2021-05-22 09:35:02	                main:574]	:	INFO	:	Epoch 1941 | loss: 0.0311401 | val_loss: 0.0311843 | Time: 9475.06 ms
[2021-05-22 09:35:11	                main:574]	:	INFO	:	Epoch 1942 | loss: 0.0311406 | val_loss: 0.0311818 | Time: 9530.85 ms
[2021-05-22 09:35:21	                main:574]	:	INFO	:	Epoch 1943 | loss: 0.0311366 | val_loss: 0.0311802 | Time: 9526.44 ms
[2021-05-22 09:35:30	                main:574]	:	INFO	:	Epoch 1944 | loss: 0.0311347 | val_loss: 0.0311812 | Time: 9542.6 ms
[2021-05-22 09:35:40	                main:574]	:	INFO	:	Epoch 1945 | loss: 0.0311324 | val_loss: 0.0311864 | Time: 9406.86 ms
[2021-05-22 09:35:49	                main:574]	:	INFO	:	Epoch 1946 | loss: 0.0311323 | val_loss: 0.031184 | Time: 9609.88 ms
[2021-05-22 09:35:59	                main:574]	:	INFO	:	Epoch 1947 | loss: 0.031135 | val_loss: 0.0311799 | Time: 9394.66 ms
[2021-05-22 09:36:08	                main:574]	:	INFO	:	Epoch 1948 | loss: 0.0311302 | val_loss: 0.031186 | Time: 9440.06 ms
[2021-05-22 09:36:18	                main:574]	:	INFO	:	Epoch 1949 | loss: 0.0311326 | val_loss: 0.0311819 | Time: 9465.67 ms
[2021-05-22 09:36:27	                main:574]	:	INFO	:	Epoch 1950 | loss: 0.0311366 | val_loss: 0.0311808 | Time: 9479.16 ms
[2021-05-22 09:36:37	                main:574]	:	INFO	:	Epoch 1951 | loss: 0.03113 | val_loss: 0.0311799 | Time: 9668.82 ms
[2021-05-22 09:36:47	                main:574]	:	INFO	:	Epoch 1952 | loss: 0.0311294 | val_loss: 0.031181 | Time: 9494.32 ms
[2021-05-22 09:36:56	                main:574]	:	INFO	:	Epoch 1953 | loss: 0.031129 | val_loss: 0.0311884 | Time: 9645.34 ms
[2021-05-22 09:37:06	                main:574]	:	INFO	:	Epoch 1954 | loss: 0.0311275 | val_loss: 0.0311884 | Time: 9406.42 ms
[2021-05-22 09:37:15	                main:574]	:	INFO	:	Epoch 1955 | loss: 0.031127 | val_loss: 0.0311801 | Time: 9431.47 ms
[2021-05-22 09:37:25	                main:574]	:	INFO	:	Epoch 1956 | loss: 0.0311253 | val_loss: 0.0311879 | Time: 9402.69 ms
[2021-05-22 09:37:34	                main:574]	:	INFO	:	Epoch 1957 | loss: 0.0311224 | val_loss: 0.0311901 | Time: 9474.39 ms
[2021-05-22 09:37:43	                main:574]	:	INFO	:	Epoch 1958 | loss: 0.0311266 | val_loss: 0.0311812 | Time: 9406.79 ms
[2021-05-22 09:37:53	                main:574]	:	INFO	:	Epoch 1959 | loss: 0.0311331 | val_loss: 0.0311879 | Time: 9493.2 ms
[2021-05-22 09:38:02	                main:574]	:	INFO	:	Epoch 1960 | loss: 0.0311289 | val_loss: 0.0311896 | Time: 9453.81 ms
[2021-05-22 09:38:12	                main:574]	:	INFO	:	Epoch 1961 | loss: 0.0311357 | val_loss: 0.031184 | Time: 9409.58 ms
[2021-05-22 09:38:21	                main:574]	:	INFO	:	Epoch 1962 | loss: 0.0311396 | val_loss: 0.031179 | Time: 9420.66 ms
[2021-05-22 09:38:31	                main:574]	:	INFO	:	Epoch 1963 | loss: 0.0311342 | val_loss: 0.0311816 | Time: 9505.53 ms
[2021-05-22 09:38:40	                main:574]	:	INFO	:	Epoch 1964 | loss: 0.0311318 | val_loss: 0.0311851 | Time: 9488.21 ms
[2021-05-22 09:38:50	                main:574]	:	INFO	:	Epoch 1965 | loss: 0.0311293 | val_loss: 0.0311867 | Time: 9471.37 ms
[2021-05-22 09:38:59	                main:574]	:	INFO	:	Epoch 1966 | loss: 0.0311298 | val_loss: 0.0311824 | Time: 9436.62 ms
[2021-05-22 09:39:09	                main:574]	:	INFO	:	Epoch 1967 | loss: 0.0311315 | val_loss: 0.0311855 | Time: 9554.94 ms
[2021-05-22 09:39:18	                main:574]	:	INFO	:	Epoch 1968 | loss: 0.0311306 | val_loss: 0.031181 | Time: 9536.73 ms
[2021-05-22 09:39:28	                main:574]	:	INFO	:	Epoch 1969 | loss: 0.0311268 | val_loss: 0.0311896 | Time: 9465.3 ms
[2021-05-22 09:39:37	                main:574]	:	INFO	:	Epoch 1970 | loss: 0.03113 | val_loss: 0.0311907 | Time: 9424.97 ms
[2021-05-22 09:39:47	                main:574]	:	INFO	:	Epoch 1971 | loss: 0.0311252 | val_loss: 0.0311889 | Time: 9568.83 ms
[2021-05-22 09:39:57	                main:574]	:	INFO	:	Epoch 1972 | loss: 0.0311295 | val_loss: 0.0311854 | Time: 10189.1 ms
[2021-05-22 09:40:07	                main:574]	:	INFO	:	Epoch 1973 | loss: 0.0311332 | val_loss: 0.0311805 | Time: 9564.7 ms
[2021-05-22 09:40:16	                main:574]	:	INFO	:	Epoch 1974 | loss: 0.0311286 | val_loss: 0.0311842 | Time: 9514.68 ms
[2021-05-22 09:40:26	                main:574]	:	INFO	:	Epoch 1975 | loss: 0.0311235 | val_loss: 0.0311848 | Time: 9547.38 ms
[2021-05-22 09:40:35	                main:574]	:	INFO	:	Epoch 1976 | loss: 0.0311308 | val_loss: 0.0311866 | Time: 9488.81 ms
[2021-05-22 09:40:45	                main:574]	:	INFO	:	Epoch 1977 | loss: 0.0311343 | val_loss: 0.0311846 | Time: 9738.1 ms
[2021-05-22 09:40:55	                main:574]	:	INFO	:	Epoch 1978 | loss: 0.0311322 | val_loss: 0.0311759 | Time: 9561.18 ms
[2021-05-22 09:41:04	                main:574]	:	INFO	:	Epoch 1979 | loss: 0.0311264 | val_loss: 0.0311879 | Time: 9464.55 ms
[2021-05-22 09:41:14	                main:574]	:	INFO	:	Epoch 1980 | loss: 0.0311242 | val_loss: 0.0311819 | Time: 9449.23 ms
[2021-05-22 09:41:23	                main:574]	:	INFO	:	Epoch 1981 | loss: 0.0311216 | val_loss: 0.031185 | Time: 9467 ms
[2021-05-22 09:41:33	                main:574]	:	INFO	:	Epoch 1982 | loss: 0.0311251 | val_loss: 0.0311858 | Time: 9520.96 ms
[2021-05-22 09:41:42	                main:574]	:	INFO	:	Epoch 1983 | loss: 0.0311226 | val_loss: 0.0311925 | Time: 9508.45 ms
[2021-05-22 09:41:52	                main:574]	:	INFO	:	Epoch 1984 | loss: 0.0311254 | val_loss: 0.0311849 | Time: 9435.94 ms
[2021-05-22 09:42:01	                main:574]	:	INFO	:	Epoch 1985 | loss: 0.0311227 | val_loss: 0.0311847 | Time: 9508.07 ms
[2021-05-22 09:42:11	                main:574]	:	INFO	:	Epoch 1986 | loss: 0.0311232 | val_loss: 0.0311818 | Time: 9450.45 ms
[2021-05-22 09:42:20	                main:574]	:	INFO	:	Epoch 1987 | loss: 0.0311247 | val_loss: 0.0311855 | Time: 9520.08 ms
[2021-05-22 09:42:30	                main:574]	:	INFO	:	Epoch 1988 | loss: 0.0311214 | val_loss: 0.0311909 | Time: 9457.03 ms
[2021-05-22 09:42:39	                main:574]	:	INFO	:	Epoch 1989 | loss: 0.031123 | val_loss: 0.0311849 | Time: 9535.37 ms
[2021-05-22 09:42:49	                main:574]	:	INFO	:	Epoch 1990 | loss: 0.0311228 | val_loss: 0.031184 | Time: 9473.6 ms
[2021-05-22 09:42:58	                main:574]	:	INFO	:	Epoch 1991 | loss: 0.0311215 | val_loss: 0.0311847 | Time: 9466.89 ms
[2021-05-22 09:43:08	                main:574]	:	INFO	:	Epoch 1992 | loss: 0.0311249 | val_loss: 0.031185 | Time: 9510.17 ms
[2021-05-22 09:43:17	                main:574]	:	INFO	:	Epoch 1993 | loss: 0.031123 | val_loss: 0.0311876 | Time: 9514.17 ms
[2021-05-22 09:43:27	                main:574]	:	INFO	:	Epoch 1994 | loss: 0.031121 | val_loss: 0.0311824 | Time: 9498.8 ms
[2021-05-22 09:43:36	                main:574]	:	INFO	:	Epoch 1995 | loss: 0.0311186 | val_loss: 0.0311883 | Time: 9492.06 ms
[2021-05-22 09:43:46	                main:574]	:	INFO	:	Epoch 1996 | loss: 0.0311242 | val_loss: 0.0311878 | Time: 9597.26 ms
[2021-05-22 09:43:55	                main:574]	:	INFO	:	Epoch 1997 | loss: 0.0311266 | val_loss: 0.0311843 | Time: 9583.84 ms
[2021-05-22 09:44:05	                main:574]	:	INFO	:	Epoch 1998 | loss: 0.0311215 | val_loss: 0.0311857 | Time: 9558.36 ms
[2021-05-22 09:44:15	                main:574]	:	INFO	:	Epoch 1999 | loss: 0.0311188 | val_loss: 0.0311844 | Time: 9624.89 ms
[2021-05-22 09:44:24	                main:574]	:	INFO	:	Epoch 2000 | loss: 0.0311183 | val_loss: 0.0311865 | Time: 9464.99 ms
[2021-05-22 09:44:34	                main:574]	:	INFO	:	Epoch 2001 | loss: 0.0311186 | val_loss: 0.0311935 | Time: 9426.82 ms
[2021-05-22 09:44:43	                main:574]	:	INFO	:	Epoch 2002 | loss: 0.0311202 | val_loss: 0.0311881 | Time: 9422.11 ms
[2021-05-22 09:44:53	                main:574]	:	INFO	:	Epoch 2003 | loss: 0.0311197 | val_loss: 0.0311915 | Time: 9583.51 ms
[2021-05-22 09:45:02	                main:574]	:	INFO	:	Epoch 2004 | loss: 0.0311199 | val_loss: 0.0311901 | Time: 9502.25 ms
[2021-05-22 09:45:12	                main:574]	:	INFO	:	Epoch 2005 | loss: 0.0311192 | val_loss: 0.0311958 | Time: 9451.52 ms
[2021-05-22 09:45:21	                main:574]	:	INFO	:	Epoch 2006 | loss: 0.0311198 | val_loss: 0.031188 | Time: 9461.66 ms
[2021-05-22 09:45:31	                main:574]	:	INFO	:	Epoch 2007 | loss: 0.0311221 | val_loss: 0.0311941 | Time: 9495.82 ms
[2021-05-22 09:45:40	                main:574]	:	INFO	:	Epoch 2008 | loss: 0.0311226 | val_loss: 0.0311965 | Time: 9590.13 ms
[2021-05-22 09:45:50	                main:574]	:	INFO	:	Epoch 2009 | loss: 0.0311198 | val_loss: 0.031183 | Time: 9495.51 ms
[2021-05-22 09:45:59	                main:574]	:	INFO	:	Epoch 2010 | loss: 0.0311167 | val_loss: 0.0311938 | Time: 9572.29 ms
[2021-05-22 09:46:09	                main:574]	:	INFO	:	Epoch 2011 | loss: 0.0311189 | val_loss: 0.0311933 | Time: 9525.05 ms
[2021-05-22 09:46:18	                main:574]	:	INFO	:	Epoch 2012 | loss: 0.0311171 | val_loss: 0.0311908 | Time: 9448.74 ms
[2021-05-22 09:46:28	                main:574]	:	INFO	:	Epoch 2013 | loss: 0.031121 | val_loss: 0.0311899 | Time: 9486.74 ms
[2021-05-22 09:46:38	                main:574]	:	INFO	:	Epoch 2014 | loss: 0.0311196 | val_loss: 0.0311943 | Time: 9733.22 ms
[2021-05-22 09:46:47	                main:574]	:	INFO	:	Epoch 2015 | loss: 0.0311202 | val_loss: 0.0311838 | Time: 9589.8 ms
[2021-05-22 09:46:57	                main:574]	:	INFO	:	Epoch 2016 | loss: 0.031114 | val_loss: 0.0311894 | Time: 9573.33 ms
[2021-05-22 09:47:06	                main:574]	:	INFO	:	Epoch 2017 | loss: 0.0311149 | val_loss: 0.0311822 | Time: 9411.58 ms
[2021-05-22 09:47:16	                main:574]	:	INFO	:	Epoch 2018 | loss: 0.0311211 | val_loss: 0.0311922 | Time: 9503.19 ms
[2021-05-22 09:47:25	                main:574]	:	INFO	:	Epoch 2019 | loss: 0.031121 | val_loss: 0.0311845 | Time: 9451.52 ms
[2021-05-22 09:47:35	                main:574]	:	INFO	:	Epoch 2020 | loss: 0.0311174 | val_loss: 0.0311846 | Time: 9436.7 ms
[2021-05-22 09:47:44	                main:574]	:	INFO	:	Epoch 2021 | loss: 0.0311241 | val_loss: 0.0311799 | Time: 9464.77 ms
[2021-05-22 09:47:53	                main:574]	:	INFO	:	Epoch 2022 | loss: 0.0311173 | val_loss: 0.0311839 | Time: 9410.66 ms
[2021-05-22 09:48:03	                main:574]	:	INFO	:	Epoch 2023 | loss: 0.0311161 | val_loss: 0.0311904 | Time: 9614.86 ms
[2021-05-22 09:48:13	                main:574]	:	INFO	:	Epoch 2024 | loss: 0.0311374 | val_loss: 0.0311815 | Time: 9509.13 ms
[2021-05-22 09:48:22	                main:574]	:	INFO	:	Epoch 2025 | loss: 0.0311362 | val_loss: 0.0311758 | Time: 9480.48 ms
[2021-05-22 09:48:32	                main:574]	:	INFO	:	Epoch 2026 | loss: 0.0311302 | val_loss: 0.0311806 | Time: 9443.23 ms
[2021-05-22 09:48:41	                main:574]	:	INFO	:	Epoch 2027 | loss: 0.0311278 | val_loss: 0.0311812 | Time: 9492.64 ms
[2021-05-22 09:48:51	                main:574]	:	INFO	:	Epoch 2028 | loss: 0.0311252 | val_loss: 0.0311955 | Time: 9434.8 ms
[2021-05-22 09:49:00	                main:574]	:	INFO	:	Epoch 2029 | loss: 0.0311223 | val_loss: 0.0311826 | Time: 9514.08 ms
[2021-05-22 09:49:10	                main:574]	:	INFO	:	Epoch 2030 | loss: 0.0311219 | val_loss: 0.0311878 | Time: 9452.4 ms
[2021-05-22 09:49:19	                main:574]	:	INFO	:	Epoch 2031 | loss: 0.0311226 | val_loss: 0.0311901 | Time: 9410.59 ms
[2021-05-22 09:49:28	                main:574]	:	INFO	:	Epoch 2032 | loss: 0.0311226 | val_loss: 0.0311777 | Time: 9477.07 ms
[2021-05-22 09:49:38	                main:574]	:	INFO	:	Epoch 2033 | loss: 0.0311191 | val_loss: 0.0311936 | Time: 9464.71 ms
[2021-05-22 09:49:48	                main:574]	:	INFO	:	Epoch 2034 | loss: 0.0311196 | val_loss: 0.031186 | Time: 9573.43 ms
[2021-05-22 09:49:57	                main:574]	:	INFO	:	Epoch 2035 | loss: 0.0311156 | val_loss: 0.0311875 | Time: 9407.45 ms
[2021-05-22 09:50:06	                main:574]	:	INFO	:	Epoch 2036 | loss: 0.0311171 | val_loss: 0.0311914 | Time: 9484.73 ms
[2021-05-22 09:50:16	                main:574]	:	INFO	:	Epoch 2037 | loss: 0.0311168 | val_loss: 0.0311919 | Time: 9400.98 ms
[2021-05-22 09:50:25	                main:574]	:	INFO	:	Epoch 2038 | loss: 0.0311202 | val_loss: 0.0311869 | Time: 9531.2 ms
[2021-05-22 09:50:35	                main:574]	:	INFO	:	Epoch 2039 | loss: 0.0311265 | val_loss: 0.0311831 | Time: 9522.68 ms
[2021-05-22 09:50:45	                main:574]	:	INFO	:	Epoch 2040 | loss: 0.0311233 | val_loss: 0.0311814 | Time: 9533.62 ms
[2021-05-22 09:50:54	                main:574]	:	INFO	:	Epoch 2041 | loss: 0.0311164 | val_loss: 0.0311887 | Time: 9472.03 ms
[2021-05-22 09:51:03	                main:574]	:	INFO	:	Epoch 2042 | loss: 0.031112 | val_loss: 0.0311946 | Time: 9388.64 ms
[2021-05-22 09:51:13	                main:574]	:	INFO	:	Epoch 2043 | loss: 0.0311114 | val_loss: 0.0311897 | Time: 9500.08 ms
[2021-05-22 09:51:22	                main:574]	:	INFO	:	Epoch 2044 | loss: 0.0311188 | val_loss: 0.0311907 | Time: 9519.39 ms
[2021-05-22 09:51:32	                main:574]	:	INFO	:	Epoch 2045 | loss: 0.0311234 | val_loss: 0.03119 | Time: 9573.15 ms
Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: GeForce GTX 1080)
[2021-05-22 15:35:51	                main:435]	:	INFO	:	Set logging level to 1
[2021-05-22 15:35:51	                main:441]	:	INFO	:	Running in BOINC Client mode
[2021-05-22 15:35:51	                main:444]	:	INFO	:	Resolving all filenames
[2021-05-22 15:35:51	                main:452]	:	INFO	:	Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 (exists = 1)
[2021-05-22 15:35:51	                main:452]	:	INFO	:	Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1619580407-24047-2_0_r2064549915_1 (exists = 1)
[2021-05-22 15:35:51	                main:452]	:	INFO	:	Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1619580407-24047-2_0_r2064549915_0 (exists = 0)
[2021-05-22 15:35:51	                main:452]	:	INFO	:	Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1619580407-24047-2 (exists = 1)
[2021-05-22 15:35:52	                main:452]	:	INFO	:	Resolved: snapshot.pt => snapshot.pt (exists = 1)
[2021-05-22 15:35:52	                main:472]	:	INFO	:	Dataset filename: ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5
[2021-05-22 15:35:52	                main:474]	:	INFO	:	Configuration: 
[2021-05-22 15:35:52	                main:475]	:	INFO	:	    Model type: GRU
[2021-05-22 15:35:52	                main:476]	:	INFO	:	    Validation Loss Threshold: 0.0001
[2021-05-22 15:35:52	                main:477]	:	INFO	:	    Max Epochs: 2048
[2021-05-22 15:35:52	                main:478]	:	INFO	:	    Batch Size: 128
[2021-05-22 15:35:52	                main:479]	:	INFO	:	    Learning Rate: 0.01
[2021-05-22 15:35:52	                main:480]	:	INFO	:	    Patience: 10
[2021-05-22 15:35:52	                main:481]	:	INFO	:	    Hidden Width: 12
[2021-05-22 15:35:52	                main:482]	:	INFO	:	    # Recurrent Layers: 4
[2021-05-22 15:35:52	                main:483]	:	INFO	:	    # Backend Layers: 4
[2021-05-22 15:35:52	                main:484]	:	INFO	:	    # Threads: 1
[2021-05-22 15:35:52	                main:486]	:	INFO	:	Preparing Dataset
[2021-05-22 15:35:52	load_hdf5_ds_into_tensor:28]	:	INFO	:	Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory
[2021-05-22 15:35:52	load_hdf5_ds_into_tensor:28]	:	INFO	:	Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory
[2021-05-22 15:36:00	                load:106]	:	INFO	:	Successfully loaded dataset of 2048 examples into memory.
[2021-05-22 15:36:00	load_hdf5_ds_into_tensor:28]	:	INFO	:	Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory
[2021-05-22 15:36:01	load_hdf5_ds_into_tensor:28]	:	INFO	:	Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory
[2021-05-22 15:36:01	                load:106]	:	INFO	:	Successfully loaded dataset of 512 examples into memory.
[2021-05-22 15:36:01	                main:494]	:	INFO	:	Creating Model
[2021-05-22 15:36:01	                main:507]	:	INFO	:	Preparing config file
[2021-05-22 15:36:01	                main:511]	:	INFO	:	Found checkpoint, attempting to load... 
[2021-05-22 15:36:01	                main:512]	:	INFO	:	Loading config
[2021-05-22 15:36:01	                main:514]	:	INFO	:	Loading state
[2021-05-22 15:36:08	                main:559]	:	INFO	:	Loading DataLoader into Memory
[2021-05-22 15:36:08	                main:562]	:	INFO	:	Starting Training
[2021-05-22 15:36:22	                main:574]	:	INFO	:	Epoch 2043 | loss: 0.0311789 | val_loss: 0.0311963 | Time: 14297.1 ms
[2021-05-22 15:36:34	                main:574]	:	INFO	:	Epoch 2044 | loss: 0.0311258 | val_loss: 0.0311995 | Time: 11473.6 ms
[2021-05-22 15:36:45	                main:574]	:	INFO	:	Epoch 2045 | loss: 0.0311209 | val_loss: 0.0311906 | Time: 11498.7 ms
[2021-05-22 15:36:57	                main:574]	:	INFO	:	Epoch 2046 | loss: 0.031117 | val_loss: 0.0311902 | Time: 11510.4 ms
[2021-05-22 15:37:09	                main:574]	:	INFO	:	Epoch 2047 | loss: 0.0311169 | val_loss: 0.0311956 | Time: 11714.4 ms
[2021-05-22 15:37:20	                main:574]	:	INFO	:	Epoch 2048 | loss: 0.0311186 | val_loss: 0.0311906 | Time: 10896 ms
[2021-05-22 15:37:20	                main:597]	:	INFO	:	Saving trained model to model-final.pt, val_loss 0.0311906
[2021-05-22 15:37:20	                main:603]	:	INFO	:	Saving end state to config to file
[2021-05-22 15:37:20	                main:608]	:	INFO	:	Success, exiting..
15:37:20 (25604): 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)