Task 7371736
| Name | ParityModified-1631732026-31082-0_0 |
| Workunit | 5047800 |
| Created | 15 Sep 2021, 18:53:48 UTC |
| Sent | 18 Sep 2021, 13:00:39 UTC |
| Report deadline | 26 Sep 2021, 13:00:39 UTC |
| Received | 19 Sep 2021, 6:49:48 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 157 |
| Run time | 9 hours 56 min 26 sec |
| CPU time | 6 hours 47 min 27 sec |
| Validate state | Valid |
| Credit | 4,160.00 |
| Device peak FLOPS | 4,473.94 GFLOPS |
| Application version | Machine Learning Dataset Generator (GPU) v9.75 (cuda10200) windows_x86_64 |
| Peak working set size | 1.62 GB |
| Peak swap size | 3.61 GB |
| Peak disk usage | 1.54 GB |
Stderr output
<core_client_version>7.16.11</core_client_version> <![CDATA[ <stderr_txt> 53 main:574] : INFO : Epoch 1697 | loss: 0.0311561 | val_loss: 0.0311566 | Time: 16116.1 ms [2021-09-18 18:54:09 main:574] : INFO : Epoch 1698 | loss: 0.0311549 | val_loss: 0.031158 | Time: 15829.3 ms [2021-09-18 18:54:24 main:574] : INFO : Epoch 1699 | loss: 0.0311507 | val_loss: 0.0311517 | Time: 15222.6 ms [2021-09-18 18:54:40 main:574] : INFO : Epoch 1700 | loss: 0.0311492 | val_loss: 0.0311529 | Time: 15160.7 ms [2021-09-18 18:54:55 main:574] : INFO : Epoch 1701 | loss: 0.0311468 | val_loss: 0.0311493 | Time: 15367.1 ms [2021-09-18 18:55:10 main:574] : INFO : Epoch 1702 | loss: 0.0311435 | val_loss: 0.0311478 | Time: 15403.1 ms [2021-09-18 18:55:26 main:574] : INFO : Epoch 1703 | loss: 0.0311433 | val_loss: 0.0311464 | Time: 15535.4 ms [2021-09-18 18:55:41 main:574] : INFO : Epoch 1704 | loss: 0.0311403 | val_loss: 0.0311491 | Time: 15317.1 ms [2021-09-18 18:55:57 main:574] : INFO : Epoch 1705 | loss: 0.0311389 | val_loss: 0.0311447 | Time: 15618.1 ms [2021-09-18 18:56:13 main:574] : INFO : Epoch 1706 | loss: 0.0311375 | val_loss: 0.0311456 | Time: 15691.6 ms [2021-09-18 18:56:29 main:574] : INFO : Epoch 1707 | loss: 0.0311366 | val_loss: 0.0311507 | Time: 16040.1 ms [2021-09-18 18:56:44 main:574] : INFO : Epoch 1708 | loss: 0.0311524 | val_loss: 0.0311635 | Time: 15139.7 ms [2021-09-18 18:57:00 main:574] : INFO : Epoch 1709 | loss: 0.0311555 | val_loss: 0.0311572 | Time: 15579.6 ms [2021-09-18 18:57:16 main:574] : INFO : Epoch 1710 | loss: 0.0311492 | val_loss: 0.0311526 | Time: 15789.8 ms [2021-09-18 18:57:31 main:574] : INFO : Epoch 1711 | loss: 0.0311467 | val_loss: 0.0311503 | Time: 15246.1 ms [2021-09-18 18:57:46 main:574] : INFO : Epoch 1712 | loss: 0.0311489 | val_loss: 0.0311544 | Time: 15393.9 ms [2021-09-18 18:58:02 main:574] : INFO : Epoch 1713 | loss: 0.0311451 | val_loss: 0.0311479 | Time: 15562 ms [2021-09-18 18:58:18 main:574] : INFO : Epoch 1714 | loss: 0.0311424 | val_loss: 0.031157 | Time: 16186 ms [2021-09-18 18:58:34 main:574] : INFO : Epoch 1715 | loss: 0.0311413 | val_loss: 0.0311501 | Time: 15388.8 ms [2021-09-18 18:58:49 main:574] : INFO : Epoch 1716 | loss: 0.0311384 | val_loss: 0.0311481 | Time: 15474.2 ms [2021-09-18 18:59:05 main:574] : INFO : Epoch 1717 | loss: 0.0311397 | val_loss: 0.0311465 | Time: 15805.9 ms [2021-09-18 18:59:20 main:574] : INFO : Epoch 1718 | loss: 0.0311396 | val_loss: 0.0311494 | Time: 15137.6 ms [2021-09-18 18:59:36 main:574] : INFO : Epoch 1719 | loss: 0.0311347 | val_loss: 0.0311462 | Time: 15541.7 ms [2021-09-18 18:59:51 main:574] : INFO : Epoch 1720 | loss: 0.0311333 | val_loss: 0.0311463 | Time: 15100.7 ms [2021-09-18 19:00:07 main:574] : INFO : Epoch 1721 | loss: 0.0311345 | val_loss: 0.0311464 | Time: 15654.2 ms [2021-09-18 19:00:23 main:574] : INFO : Epoch 1722 | loss: 0.0311336 | val_loss: 0.0311472 | Time: 15900.7 ms [2021-09-18 19:00:39 main:574] : INFO : Epoch 1723 | loss: 0.0311322 | val_loss: 0.0311442 | Time: 16258.4 ms [2021-09-18 19:00:56 main:574] : INFO : Epoch 1724 | loss: 0.0311315 | val_loss: 0.0311459 | Time: 16148.9 ms [2021-09-18 19:01:14 main:574] : INFO : Epoch 1725 | loss: 0.0311304 | val_loss: 0.0311431 | Time: 18569.9 ms [2021-09-18 19:01:33 main:574] : INFO : Epoch 1726 | loss: 0.0311291 | val_loss: 0.0311449 | Time: 18146.8 ms [2021-09-18 19:01:59 main:574] : INFO : Epoch 1727 | loss: 0.0311288 | val_loss: 0.031144 | Time: 26637.3 ms [2021-09-18 19:02:20 main:574] : INFO : Epoch 1728 | loss: 0.0311275 | val_loss: 0.0311433 | Time: 20921.5 ms [2021-09-18 19:02:40 main:574] : INFO : Epoch 1729 | loss: 0.0311294 | val_loss: 0.0311442 | Time: 19260.2 ms [2021-09-18 19:02:59 main:574] : INFO : Epoch 1730 | loss: 0.0311318 | val_loss: 0.0311438 | Time: 19709.2 ms [2021-09-18 19:03:18 main:574] : INFO : Epoch 1731 | loss: 0.0311282 | val_loss: 0.0311481 | Time: 18293.5 ms [2021-09-18 19:03:37 main:574] : INFO : Epoch 1732 | loss: 0.0311312 | val_loss: 0.0311539 | Time: 18860.6 ms [2021-09-18 19:03:55 main:574] : INFO : Epoch 1733 | loss: 0.0311356 | val_loss: 0.0311494 | Time: 18458 ms [2021-09-18 19:04:15 main:574] : INFO : Epoch 1734 | loss: 0.0311366 | val_loss: 0.0311458 | Time: 19017.4 ms [2021-09-18 19:04:33 main:574] : INFO : Epoch 1735 | loss: 0.0311341 | val_loss: 0.0311472 | Time: 18181.1 ms [2021-09-18 19:04:55 main:574] : INFO : Epoch 1736 | loss: 0.03113 | val_loss: 0.0311457 | Time: 21857.5 ms [2021-09-18 19:05:14 main:574] : INFO : Epoch 1737 | loss: 0.0311305 | val_loss: 0.0311452 | Time: 18956.2 ms [2021-09-18 19:05:33 main:574] : INFO : Epoch 1738 | loss: 0.0311301 | val_loss: 0.0311405 | Time: 19106.3 ms [2021-09-18 19:05:52 main:574] : INFO : Epoch 1739 | loss: 0.0311279 | val_loss: 0.0311481 | Time: 18529.5 ms [2021-09-18 19:06:10 main:574] : INFO : Epoch 1740 | loss: 0.0311265 | val_loss: 0.0311406 | Time: 17805.7 ms [2021-09-18 19:06:29 main:574] : INFO : Epoch 1741 | loss: 0.0311244 | val_loss: 0.0311416 | Time: 19255.2 ms [2021-09-18 19:06:48 main:574] : INFO : Epoch 1742 | loss: 0.0311223 | val_loss: 0.0311411 | Time: 18659 ms [2021-09-18 19:07:07 main:574] : INFO : Epoch 1743 | loss: 0.0311234 | val_loss: 0.0311417 | Time: 18982 ms [2021-09-18 19:07:26 main:574] : INFO : Epoch 1744 | loss: 0.0311255 | val_loss: 0.031143 | Time: 18137.5 ms [2021-09-18 19:07:45 main:574] : INFO : Epoch 1745 | loss: 0.0311243 | val_loss: 0.0311429 | Time: 19092.7 ms [2021-09-18 19:08:04 main:574] : INFO : Epoch 1746 | loss: 0.0311248 | val_loss: 0.0311448 | Time: 18858.9 ms [2021-09-18 19:08:23 main:574] : INFO : Epoch 1747 | loss: 0.0311237 | val_loss: 0.0311395 | Time: 19013.9 ms [2021-09-18 19:08:41 main:574] : INFO : Epoch 1748 | loss: 0.0311208 | val_loss: 0.0311398 | Time: 18446.6 ms [2021-09-18 19:09:00 main:574] : INFO : Epoch 1749 | loss: 0.0311194 | val_loss: 0.0311392 | Time: 18698.8 ms [2021-09-18 19:09:20 main:574] : INFO : Epoch 1750 | loss: 0.0311182 | val_loss: 0.0311402 | Time: 19343.3 ms [2021-09-18 19:09:39 main:574] : INFO : Epoch 1751 | loss: 0.0311177 | val_loss: 0.0311405 | Time: 19535.1 ms [2021-09-18 19:09:59 main:574] : INFO : Epoch 1752 | loss: 0.0311183 | val_loss: 0.0311431 | Time: 19429.2 ms [2021-09-18 19:10:18 main:574] : INFO : Epoch 1753 | loss: 0.0311177 | val_loss: 0.0311454 | Time: 18847.6 ms [2021-09-18 19:10:37 main:574] : INFO : Epoch 1754 | loss: 0.0311241 | val_loss: 0.0311537 | Time: 19236.5 ms [2021-09-18 19:10:56 main:574] : INFO : Epoch 1755 | loss: 0.0311225 | val_loss: 0.0311383 | Time: 19016.1 ms [2021-09-18 19:11:15 main:574] : INFO : Epoch 1756 | loss: 0.0311196 | val_loss: 0.0311391 | Time: 19171.6 ms [2021-09-18 19:11:34 main:574] : INFO : Epoch 1757 | loss: 0.0311193 | val_loss: 0.0311386 | Time: 18785.8 ms [2021-09-18 19:11:54 main:574] : INFO : Epoch 1758 | loss: 0.0311196 | val_loss: 0.0311421 | Time: 19324 ms [2021-09-18 19:12:13 main:574] : INFO : Epoch 1759 | loss: 0.0311182 | val_loss: 0.0311379 | Time: 19078.4 ms [2021-09-18 19:12:31 main:574] : INFO : Epoch 1760 | loss: 0.0311222 | val_loss: 0.0311407 | Time: 18353.2 ms [2021-09-18 19:12:50 main:574] : INFO : Epoch 1761 | loss: 0.0311321 | val_loss: 0.0311399 | Time: 18877.8 ms [2021-09-18 19:13:10 main:574] : INFO : Epoch 1762 | loss: 0.0311342 | val_loss: 0.0311427 | Time: 19341.1 ms [2021-09-18 19:13:28 main:574] : INFO : Epoch 1763 | loss: 0.0311297 | val_loss: 0.0311386 | Time: 18129.1 ms [2021-09-18 19:13:47 main:574] : INFO : Epoch 1764 | loss: 0.0311283 | val_loss: 0.0311377 | Time: 19069.7 ms [2021-09-18 19:14:05 main:574] : INFO : Epoch 1765 | loss: 0.0311285 | val_loss: 0.0311387 | Time: 18362.1 ms [2021-09-18 19:14:24 main:574] : INFO : Epoch 1766 | loss: 0.031125 | val_loss: 0.0311372 | Time: 17954.9 ms [2021-09-18 19:14:42 main:574] : INFO : Epoch 1767 | loss: 0.0311279 | val_loss: 0.0311432 | Time: 18720.3 ms [2021-09-18 19:15:01 main:574] : INFO : Epoch 1768 | loss: 0.0311323 | val_loss: 0.0311386 | Time: 18544.7 ms [2021-09-18 19:15:19 main:574] : INFO : Epoch 1769 | loss: 0.031131 | val_loss: 0.0311422 | Time: 18089.2 ms [2021-09-18 19:15:38 main:574] : INFO : Epoch 1770 | loss: 0.0311397 | val_loss: 0.0311458 | Time: 18237.1 ms [2021-09-18 19:15:56 main:574] : INFO : Epoch 1771 | loss: 0.0311491 | val_loss: 0.0311535 | Time: 18608.7 ms [2021-09-18 19:16:18 main:574] : INFO : Epoch 1772 | loss: 0.0311441 | val_loss: 0.0311434 | Time: 22121.5 ms [2021-09-18 19:16:38 main:574] : INFO : Epoch 1773 | loss: 0.0311362 | val_loss: 0.0311361 | Time: 19705.4 ms [2021-09-18 19:17:01 main:574] : INFO : Epoch 1774 | loss: 0.031131 | val_loss: 0.0311359 | Time: 22715.3 ms [2021-09-18 19:17:22 main:574] : INFO : Epoch 1775 | loss: 0.0311468 | val_loss: 0.0311591 | Time: 20932.6 ms [2021-09-18 19:17:39 main:574] : INFO : Epoch 1776 | loss: 0.0311615 | val_loss: 0.0311625 | Time: 17350.2 ms [2021-09-18 19:17:58 main:574] : INFO : Epoch 1777 | loss: 0.0311605 | val_loss: 0.0311601 | Time: 18145.6 ms [2021-09-18 19:18:17 main:574] : INFO : Epoch 1778 | loss: 0.0311586 | val_loss: 0.0311573 | Time: 19413.4 ms [2021-09-18 19:18:35 main:574] : INFO : Epoch 1779 | loss: 0.0311555 | val_loss: 0.0311572 | Time: 17882 ms [2021-09-18 19:18:54 main:574] : INFO : Epoch 1780 | loss: 0.0311628 | val_loss: 0.0311671 | Time: 19095.3 ms [2021-09-18 19:19:13 main:574] : INFO : Epoch 1781 | loss: 0.0311777 | val_loss: 0.0311689 | Time: 18306.8 ms [2021-09-18 19:19:32 main:574] : INFO : Epoch 1782 | loss: 0.0311714 | val_loss: 0.0311631 | Time: 18538.8 ms [2021-09-18 19:19:50 main:574] : INFO : Epoch 1783 | loss: 0.0311666 | val_loss: 0.0311623 | Time: 18889.4 ms [2021-09-18 19:20:09 main:574] : INFO : Epoch 1784 | loss: 0.0311641 | val_loss: 0.0311611 | Time: 18248.9 ms [2021-09-18 19:20:28 main:574] : INFO : Epoch 1785 | loss: 0.0311629 | val_loss: 0.0311641 | Time: 19227 ms [2021-09-18 19:20:47 main:574] : INFO : Epoch 1786 | loss: 0.0311642 | val_loss: 0.0311638 | Time: 18694.5 ms [2021-09-18 19:21:06 main:574] : INFO : Epoch 1787 | loss: 0.0311638 | val_loss: 0.031162 | Time: 19012.5 ms [2021-09-18 19:21:25 main:574] : INFO : Epoch 1788 | loss: 0.0311607 | val_loss: 0.0311626 | Time: 18454.9 ms [2021-09-18 19:21:43 main:574] : INFO : Epoch 1789 | loss: 0.0311592 | val_loss: 0.0311615 | Time: 18214.7 ms [2021-09-18 19:22:02 main:574] : INFO : Epoch 1790 | loss: 0.0311605 | val_loss: 0.0311654 | Time: 18485.2 ms [2021-09-18 19:22:20 main:574] : INFO : Epoch 1791 | loss: 0.0311641 | val_loss: 0.0311649 | Time: 18506.5 ms [2021-09-18 19:22:40 main:574] : INFO : Epoch 1792 | loss: 0.031161 | val_loss: 0.0311613 | Time: 19371.2 ms [2021-09-18 19:22:59 main:574] : INFO : Epoch 1793 | loss: 0.0311568 | val_loss: 0.0311627 | Time: 19297.8 ms [2021-09-18 19:23:18 main:574] : INFO : Epoch 1794 | loss: 0.0311573 | val_loss: 0.0311611 | Time: 19037.1 ms [2021-09-18 19:23:36 main:574] : INFO : Epoch 1795 | loss: 0.0311605 | val_loss: 0.0311603 | Time: 18148.7 ms [2021-09-18 19:23:56 main:574] : INFO : Epoch 1796 | loss: 0.0311582 | val_loss: 0.0311683 | Time: 19156.8 ms [2021-09-18 19:24:15 main:574] : INFO : Epoch 1797 | loss: 0.0311613 | val_loss: 0.031161 | Time: 18808.1 ms [2021-09-18 19:24:33 main:574] : INFO : Epoch 1798 | loss: 0.0311587 | val_loss: 0.0311618 | Time: 18255.3 ms [2021-09-18 19:24:52 main:574] : INFO : Epoch 1799 | loss: 0.0311545 | val_loss: 0.0311593 | Time: 18619.2 ms [2021-09-18 19:25:11 main:574] : INFO : Epoch 1800 | loss: 0.0311524 | val_loss: 0.0311623 | Time: 18946.6 ms [2021-09-18 19:25:30 main:574] : INFO : Epoch 1801 | loss: 0.031153 | val_loss: 0.0311629 | Time: 18893 ms [2021-09-18 19:25:49 main:574] : INFO : Epoch 1802 | loss: 0.0311524 | val_loss: 0.0311611 | Time: 18952.8 ms [2021-09-18 19:26:08 main:574] : INFO : Epoch 1803 | loss: 0.031152 | val_loss: 0.0311605 | Time: 19599.3 ms [2021-09-18 19:26:27 main:574] : INFO : Epoch 1804 | loss: 0.0311519 | val_loss: 0.0311606 | Time: 18772.1 ms [2021-09-18 19:26:46 main:574] : INFO : Epoch 1805 | loss: 0.031151 | val_loss: 0.0311607 | Time: 18773.3 ms [2021-09-18 19:27:05 main:574] : INFO : Epoch 1806 | loss: 0.03115 | val_loss: 0.0311594 | Time: 18683.7 ms [2021-09-18 19:27:24 main:574] : INFO : Epoch 1807 | loss: 0.0311496 | val_loss: 0.0311645 | Time: 19215.7 ms [2021-09-18 19:27:42 main:574] : INFO : Epoch 1808 | loss: 0.0311536 | val_loss: 0.0311649 | Time: 18139.3 ms [2021-09-18 19:28:01 main:574] : INFO : Epoch 1809 | loss: 0.0311611 | val_loss: 0.0311638 | Time: 18612.2 ms [2021-09-18 19:28:21 main:574] : INFO : Epoch 1810 | loss: 0.0311638 | val_loss: 0.0311749 | Time: 19242.4 ms [2021-09-18 19:28:40 main:574] : INFO : Epoch 1811 | loss: 0.0311555 | val_loss: 0.0311595 | Time: 18961.5 ms [2021-09-18 19:28:58 main:574] : INFO : Epoch 1812 | loss: 0.0311504 | val_loss: 0.0311623 | Time: 18723.9 ms [2021-09-18 19:29:17 main:574] : INFO : Epoch 1813 | loss: 0.0311486 | val_loss: 0.0311592 | Time: 18974 ms [2021-09-18 19:29:37 main:574] : INFO : Epoch 1814 | loss: 0.0311471 | val_loss: 0.031161 | Time: 19033.2 ms [2021-09-18 19:29:55 main:574] : INFO : Epoch 1815 | loss: 0.0311481 | val_loss: 0.0311632 | Time: 18648.1 ms [2021-09-18 19:30:14 main:574] : INFO : Epoch 1816 | loss: 0.0311495 | val_loss: 0.0311684 | Time: 18775.6 ms [2021-09-18 19:30:32 main:574] : INFO : Epoch 1817 | loss: 0.0311472 | val_loss: 0.03116 | Time: 18028 ms [2021-09-18 19:30:51 main:574] : INFO : Epoch 1818 | loss: 0.0311442 | val_loss: 0.0311614 | Time: 18628.7 ms [2021-09-18 19:31:11 main:574] : INFO : Epoch 1819 | loss: 0.0311451 | val_loss: 0.0311628 | Time: 19362.5 ms [2021-09-18 19:31:30 main:574] : INFO : Epoch 1820 | loss: 0.0311437 | val_loss: 0.0311617 | Time: 19437.5 ms [2021-09-18 19:31:49 main:574] : INFO : Epoch 1821 | loss: 0.031144 | val_loss: 0.0311611 | Time: 19239.3 ms [2021-09-18 19:32:10 main:574] : INFO : Epoch 1822 | loss: 0.0311434 | val_loss: 0.0311609 | Time: 20183.7 ms [2021-09-18 19:32:29 main:574] : INFO : Epoch 1823 | loss: 0.031143 | val_loss: 0.0311658 | Time: 19372.2 ms [2021-09-18 19:32:47 main:574] : INFO : Epoch 1824 | loss: 0.0311465 | val_loss: 0.0311615 | Time: 17547.5 ms [2021-09-18 19:33:05 main:574] : INFO : Epoch 1825 | loss: 0.0311464 | val_loss: 0.0311619 | Time: 17850.7 ms [2021-09-18 19:33:21 main:574] : INFO : Epoch 1826 | loss: 0.0311464 | val_loss: 0.0311637 | Time: 16638.2 ms [2021-09-18 19:33:39 main:574] : INFO : Epoch 1827 | loss: 0.0311463 | val_loss: 0.0311668 | Time: 17132.1 ms [2021-09-18 19:33:55 main:574] : INFO : Epoch 1828 | loss: 0.031147 | val_loss: 0.0311609 | Time: 16377 ms [2021-09-18 19:34:12 main:574] : INFO : Epoch 1829 | loss: 0.0311455 | val_loss: 0.0311681 | Time: 16275.3 ms [2021-09-18 19:34:29 main:574] : INFO : Epoch 1830 | loss: 0.0311442 | val_loss: 0.0311613 | Time: 17069.4 ms [2021-09-18 19:34:45 main:574] : INFO : Epoch 1831 | loss: 0.0311436 | val_loss: 0.0311645 | Time: 16482.2 ms [2021-09-18 19:35:02 main:574] : INFO : Epoch 1832 | loss: 0.0311447 | val_loss: 0.0311647 | Time: 16947.8 ms [2021-09-18 19:35:20 main:574] : INFO : Epoch 1833 | loss: 0.0311428 | val_loss: 0.0311606 | Time: 17191.9 ms [2021-09-18 19:35:37 main:574] : INFO : Epoch 1834 | loss: 0.0311419 | val_loss: 0.0311718 | Time: 17381.4 ms [2021-09-18 19:35:54 main:574] : INFO : Epoch 1835 | loss: 0.0311533 | val_loss: 0.0311719 | Time: 16979.8 ms [2021-09-18 19:36:12 main:574] : INFO : Epoch 1836 | loss: 0.0311555 | val_loss: 0.0311658 | Time: 17683.4 ms [2021-09-18 19:36:28 main:574] : INFO : Epoch 1837 | loss: 0.031153 | val_loss: 0.0311661 | Time: 16223.5 ms [2021-09-18 19:36:44 main:574] : INFO : Epoch 1838 | loss: 0.0311496 | val_loss: 0.0311684 | Time: 15500.1 ms [2021-09-18 19:37:00 main:574] : INFO : Epoch 1839 | loss: 0.0311504 | val_loss: 0.0311696 | Time: 16104.2 ms [2021-09-18 19:37:15 main:574] : INFO : Epoch 1840 | loss: 0.0311491 | val_loss: 0.031168 | Time: 15517 ms [2021-09-18 19:37:31 main:574] : INFO : Epoch 1841 | loss: 0.0311485 | val_loss: 0.0311633 | Time: 15370.7 ms [2021-09-18 19:37:47 main:574] : INFO : Epoch 1842 | loss: 0.0311694 | val_loss: 0.0311703 | Time: 15591.7 ms [2021-09-18 19:38:02 main:574] : INFO : Epoch 1843 | loss: 0.0311626 | val_loss: 0.0311668 | Time: 15130 ms [2021-09-18 19:38:18 main:574] : INFO : Epoch 1844 | loss: 0.0311576 | val_loss: 0.0311737 | Time: 15799.1 ms [2021-09-18 19:38:33 main:574] : INFO : Epoch 1845 | loss: 0.0311593 | val_loss: 0.0311626 | Time: 15346.6 ms [2021-09-18 19:38:49 main:574] : INFO : Epoch 1846 | loss: 0.0311531 | val_loss: 0.0311619 | Time: 15812.7 ms [2021-09-18 19:39:04 main:574] : INFO : Epoch 1847 | loss: 0.0311499 | val_loss: 0.0311616 | Time: 14766.8 ms [2021-09-18 19:39:20 main:574] : INFO : Epoch 1848 | loss: 0.0311482 | val_loss: 0.0311646 | Time: 15916 ms [2021-09-18 19:39:36 main:574] : INFO : Epoch 1849 | loss: 0.0311479 | val_loss: 0.0311643 | Time: 15647.6 ms [2021-09-18 19:39:51 main:574] : INFO : Epoch 1850 | loss: 0.0311503 | val_loss: 0.0311672 | Time: 15119.6 ms [2021-09-18 19:40:07 main:574] : INFO : Epoch 1851 | loss: 0.0311488 | val_loss: 0.031165 | Time: 15782.1 ms [2021-09-18 19:40:22 main:574] : INFO : Epoch 1852 | loss: 0.0311477 | val_loss: 0.0311625 | Time: 15314 ms [2021-09-18 19:40:38 main:574] : INFO : Epoch 1853 | loss: 0.0311455 | val_loss: 0.031164 | Time: 15557.3 ms [2021-09-18 19:40:53 main:574] : INFO : Epoch 1854 | loss: 0.0311447 | val_loss: 0.0311649 | Time: 15422.1 ms [2021-09-18 19:41:09 main:574] : INFO : Epoch 1855 | loss: 0.0311438 | val_loss: 0.0311745 | Time: 15739.7 ms [2021-09-18 19:41:24 main:574] : INFO : Epoch 1856 | loss: 0.0311426 | val_loss: 0.0311634 | Time: 14995.1 ms [2021-09-18 19:41:40 main:574] : INFO : Epoch 1857 | loss: 0.0311423 | val_loss: 0.0311644 | Time: 15481.9 ms [2021-09-18 19:41:55 main:574] : INFO : Epoch 1858 | loss: 0.031144 | val_loss: 0.031165 | Time: 14916 ms [2021-09-18 19:42:11 main:574] : INFO : Epoch 1859 | loss: 0.0311407 | val_loss: 0.0311675 | Time: 15637.7 ms [2021-09-18 19:42:26 main:574] : INFO : Epoch 1860 | loss: 0.0311405 | val_loss: 0.0311657 | Time: 15196.7 ms [2021-09-18 19:42:41 main:574] : INFO : Epoch 1861 | loss: 0.0311423 | val_loss: 0.0311692 | Time: 15488.2 ms [2021-09-18 19:42:57 main:574] : INFO : Epoch 1862 | loss: 0.0311398 | val_loss: 0.0311658 | Time: 15264 ms [2021-09-18 19:43:12 main:574] : INFO : Epoch 1863 | loss: 0.0311406 | val_loss: 0.0311682 | Time: 15209.7 ms [2021-09-18 19:43:28 main:574] : INFO : Epoch 1864 | loss: 0.03114 | val_loss: 0.0311623 | Time: 15959 ms [2021-09-18 19:43:43 main:574] : INFO : Epoch 1865 | loss: 0.0311408 | val_loss: 0.0311671 | Time: 15095.1 ms [2021-09-18 19:43:59 main:574] : INFO : Epoch 1866 | loss: 0.0311421 | val_loss: 0.0311698 | Time: 15920.6 ms [2021-09-18 19:44:14 main:574] : INFO : Epoch 1867 | loss: 0.0311388 | val_loss: 0.0311652 | Time: 15077.9 ms [2021-09-18 19:44:30 main:574] : INFO : Epoch 1868 | loss: 0.0311389 | val_loss: 0.0311651 | Time: 15476.1 ms [2021-09-18 19:44:45 main:574] : INFO : Epoch 1869 | loss: 0.0311378 | val_loss: 0.0311647 | Time: 15022.3 ms [2021-09-18 19:45:01 main:574] : INFO : Epoch 1870 | loss: 0.0311369 | val_loss: 0.0311679 | Time: 15895.4 ms [2021-09-18 19:45:16 main:574] : INFO : Epoch 1871 | loss: 0.0311374 | val_loss: 0.0311638 | Time: 15317.7 ms [2021-09-18 19:45:32 main:574] : INFO : Epoch 1872 | loss: 0.0311392 | val_loss: 0.0311658 | Time: 15275.9 ms [2021-09-18 19:45:48 main:574] : INFO : Epoch 1873 | loss: 0.0311372 | val_loss: 0.0311671 | Time: 15784.5 ms [2021-09-18 19:46:02 main:574] : INFO : Epoch 1874 | loss: 0.031137 | val_loss: 0.0311673 | Time: 14624.3 ms [2021-09-18 19:46:18 main:574] : INFO : Epoch 1875 | loss: 0.0311375 | val_loss: 0.0311714 | Time: 15855.1 ms [2021-09-18 19:46:33 main:574] : INFO : Epoch 1876 | loss: 0.0311383 | val_loss: 0.0311649 | Time: 15045.6 ms [2021-09-18 19:46:49 main:574] : INFO : Epoch 1877 | loss: 0.0311363 | val_loss: 0.0311665 | Time: 15808.7 ms [2021-09-18 19:47:05 main:574] : INFO : Epoch 1878 | loss: 0.0311366 | val_loss: 0.0311661 | Time: 15300.6 ms [2021-09-18 19:47:20 main:574] : INFO : Epoch 1879 | loss: 0.0311375 | val_loss: 0.0311627 | Time: 15567.6 ms [2021-09-18 19:47:35 main:574] : INFO : Epoch 1880 | loss: 0.0311375 | val_loss: 0.0311635 | Time: 15043.3 ms [2021-09-18 19:47:51 main:574] : INFO : Epoch 1881 | loss: 0.0311354 | val_loss: 0.0311673 | Time: 15612.8 ms [2021-09-18 19:48:08 main:574] : INFO : Epoch 1882 | loss: 0.0311357 | val_loss: 0.0311724 | Time: 16861.1 ms [2021-09-18 19:48:24 main:574] : INFO : Epoch 1883 | loss: 0.0311415 | val_loss: 0.0311688 | Time: 15612 ms [2021-09-18 19:48:40 main:574] : INFO : Epoch 1884 | loss: 0.0311354 | val_loss: 0.031167 | Time: 15534.1 ms [2021-09-18 19:48:55 main:574] : INFO : Epoch 1885 | loss: 0.0311365 | val_loss: 0.0311738 | Time: 15630.3 ms [2021-09-18 19:49:11 main:574] : INFO : Epoch 1886 | loss: 0.0311378 | val_loss: 0.0311702 | Time: 15363.1 ms [2021-09-18 19:49:26 main:574] : INFO : Epoch 1887 | loss: 0.0311385 | val_loss: 0.0311669 | Time: 15260.1 ms [2021-09-18 19:49:41 main:574] : INFO : Epoch 1888 | loss: 0.031135 | val_loss: 0.0311652 | Time: 15262 ms [2021-09-18 19:49:57 main:574] : INFO : Epoch 1889 | loss: 0.031134 | val_loss: 0.0311728 | Time: 15116 ms [2021-09-18 19:50:12 main:574] : INFO : Epoch 1890 | loss: 0.0311363 | val_loss: 0.0311663 | Time: 15325.1 ms [2021-09-18 19:50:28 main:574] : INFO : Epoch 1891 | loss: 0.031135 | val_loss: 0.0311653 | Time: 15629.7 ms [2021-09-18 19:50:43 main:574] : INFO : Epoch 1892 | loss: 0.0311363 | val_loss: 0.0311738 | Time: 15156.5 ms [2021-09-18 19:50:58 main:574] : INFO : Epoch 1893 | loss: 0.0311334 | val_loss: 0.0311669 | Time: 15366 ms [2021-09-18 19:51:14 main:574] : INFO : Epoch 1894 | loss: 0.031132 | val_loss: 0.0311675 | Time: 15531.7 ms [2021-09-18 19:51:30 main:574] : INFO : Epoch 1895 | loss: 0.0311328 | val_loss: 0.0311679 | Time: 15649.5 ms [2021-09-18 19:51:45 main:574] : INFO : Epoch 1896 | loss: 0.0311344 | val_loss: 0.0311734 | Time: 15403.3 ms [2021-09-18 19:52:01 main:574] : INFO : Epoch 1897 | loss: 0.0311366 | val_loss: 0.0311676 | Time: 15499.3 ms [2021-09-18 19:52:16 main:574] : INFO : Epoch 1898 | loss: 0.0311349 | val_loss: 0.031174 | Time: 15401 ms [2021-09-18 19:52:32 main:574] : INFO : Epoch 1899 | loss: 0.031133 | val_loss: 0.0311727 | Time: 15328.6 ms [2021-09-18 19:52:47 main:574] : INFO : Epoch 1900 | loss: 0.0311331 | val_loss: 0.031169 | Time: 15401.4 ms [2021-09-18 19:53:02 main:574] : INFO : Epoch 1901 | loss: 0.0311337 | val_loss: 0.0311709 | Time: 15086.5 ms [2021-09-18 19:53:18 main:574] : INFO : Epoch 1902 | loss: 0.0311332 | val_loss: 0.0311711 | Time: 15411.8 ms Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: NVIDIA GeForce GTX 1060 6GB) [2021-09-18 20:19:45 main:435] : INFO : Set logging level to 1 [2021-09-18 20:19:45 main:441] : INFO : Running in BOINC Client mode [2021-09-18 20:19:45 main:444] : INFO : Resolving all filenames [2021-09-18 20:19:45 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 (exists = 1) [2021-09-18 20:19:45 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1631732026-31082-0_0_r575952267_1 (exists = 1) [2021-09-18 20:19:45 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1631732026-31082-0_0_r575952267_0 (exists = 0) [2021-09-18 20:19:45 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 0) [2021-09-18 20:19:45 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1) [2021-09-18 20:19:45 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 [2021-09-18 20:19:45 main:474] : INFO : Configuration: [2021-09-18 20:19:45 main:475] : INFO : Model type: GRU [2021-09-18 20:19:45 main:476] : INFO : Validation Loss Threshold: 0.0001 [2021-09-18 20:19:45 main:477] : INFO : Max Epochs: 2048 [2021-09-18 20:19:45 main:478] : INFO : Batch Size: 128 [2021-09-18 20:19:45 main:479] : INFO : Learning Rate: 0.01 [2021-09-18 20:19:46 main:480] : INFO : Patience: 10 [2021-09-18 20:19:46 main:481] : INFO : Hidden Width: 12 [2021-09-18 20:19:46 main:482] : INFO : # Recurrent Layers: 4 [2021-09-18 20:19:46 main:483] : INFO : # Backend Layers: 4 [2021-09-18 20:19:46 main:484] : INFO : # Threads: 1 [2021-09-18 20:19:46 main:486] : INFO : Preparing Dataset [2021-09-18 20:19:46 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-09-18 20:19:46 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-09-18 20:19:50 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2021-09-18 20:19:50 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-09-18 20:19:50 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-09-18 20:19:50 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2021-09-18 20:19:50 main:494] : INFO : Creating Model [2021-09-18 20:19:50 main:507] : INFO : Preparing config file [2021-09-18 20:19:50 main:511] : INFO : Found checkpoint, attempting to load... [2021-09-18 20:19:50 main:512] : INFO : Loading config [2021-09-18 20:19:50 main:514] : INFO : Loading state [2021-09-18 20:19:52 main:559] : INFO : Loading DataLoader into Memory [2021-09-18 20:19:52 main:562] : INFO : Starting Training [2021-09-18 20:20:07 main:574] : INFO : Epoch 1902 | loss: 0.0311924 | val_loss: 0.0311695 | Time: 14688.3 ms [2021-09-18 20:20:20 main:574] : INFO : Epoch 1903 | loss: 0.0311497 | val_loss: 0.0311611 | Time: 13446.8 ms [2021-09-18 20:20:34 main:574] : INFO : Epoch 1904 | loss: 0.0311415 | val_loss: 0.0311682 | Time: 13414 ms [2021-09-18 20:21:01 main:574] : INFO : Epoch 1905 | loss: 0.03114 | val_loss: 0.0311576 | Time: 27264.7 ms [2021-09-18 20:21:24 main:574] : INFO : Epoch 1906 | loss: 0.0311357 | val_loss: 0.0311599 | Time: 19985.4 ms [2021-09-18 20:21:43 main:574] : INFO : Epoch 1907 | loss: 0.0311395 | val_loss: 0.0311535 | Time: 19137.4 ms [2021-09-18 20:22:01 main:574] : INFO : Epoch 1908 | loss: 0.0311404 | val_loss: 0.0311534 | Time: 18013.6 ms [2021-09-18 20:22:19 main:574] : INFO : Epoch 1909 | loss: 0.0311388 | val_loss: 0.031153 | Time: 18396.1 ms [2021-09-18 20:22:38 main:574] : INFO : Epoch 1910 | loss: 0.0311374 | val_loss: 0.0311537 | Time: 18862.4 ms Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: NVIDIA GeForce GTX 1060 6GB) [2021-09-18 20:24:51 main:435] : INFO : Set logging level to 1 [2021-09-18 20:24:51 main:441] : INFO : Running in BOINC Client mode [2021-09-18 20:24:51 main:444] : INFO : Resolving all filenames [2021-09-18 20:24:51 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 (exists = 1) [2021-09-18 20:24:51 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1631732026-31082-0_0_r575952267_1 (exists = 1) [2021-09-18 20:24:51 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1631732026-31082-0_0_r575952267_0 (exists = 0) [2021-09-18 20:24:52 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 0) [2021-09-18 20:24:52 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1) [2021-09-18 20:24:52 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 [2021-09-18 20:24:52 main:474] : INFO : Configuration: [2021-09-18 20:24:52 main:475] : INFO : Model type: GRU [2021-09-18 20:24:52 main:476] : INFO : Validation Loss Threshold: 0.0001 [2021-09-18 20:24:52 main:477] : INFO : Max Epochs: 2048 [2021-09-18 20:24:52 main:478] : INFO : Batch Size: 128 [2021-09-18 20:24:52 main:479] : INFO : Learning Rate: 0.01 [2021-09-18 20:24:52 main:480] : INFO : Patience: 10 [2021-09-18 20:24:52 main:481] : INFO : Hidden Width: 12 [2021-09-18 20:24:53 main:482] : INFO : # Recurrent Layers: 4 [2021-09-18 20:24:53 main:483] : INFO : # Backend Layers: 4 [2021-09-18 20:24:53 main:484] : INFO : # Threads: 1 [2021-09-18 20:24:53 main:486] : INFO : Preparing Dataset [2021-09-18 20:24:53 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-09-18 20:24:53 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-09-18 20:25:00 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2021-09-18 20:25:00 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-09-18 20:25:00 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-09-18 20:25:01 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2021-09-18 20:25:01 main:494] : INFO : Creating Model [2021-09-18 20:25:01 main:507] : INFO : Preparing config file [2021-09-18 20:25:01 main:511] : INFO : Found checkpoint, attempting to load... [2021-09-18 20:25:01 main:512] : INFO : Loading config [2021-09-18 20:25:01 main:514] : INFO : Loading state [2021-09-18 20:25:04 main:559] : INFO : Loading DataLoader into Memory [2021-09-18 20:25:04 main:562] : INFO : Starting Training [2021-09-18 20:25:23 main:574] : INFO : Epoch 1910 | loss: 0.0312934 | val_loss: 0.0312087 | Time: 19267.2 ms [2021-09-18 20:25:42 main:574] : INFO : Epoch 1911 | loss: 0.0311735 | val_loss: 0.0311662 | Time: 18707.3 ms [2021-09-18 20:26:01 main:574] : INFO : Epoch 1912 | loss: 0.0311427 | val_loss: 0.0311481 | Time: 18940.2 ms [2021-09-18 20:26:20 main:574] : INFO : Epoch 1913 | loss: 0.0311331 | val_loss: 0.0311459 | Time: 18694.3 ms [2021-09-18 20:26:39 main:574] : INFO : Epoch 1914 | loss: 0.0311317 | val_loss: 0.0311445 | Time: 19194.7 ms [2021-09-18 20:26:59 main:574] : INFO : Epoch 1915 | loss: 0.031136 | val_loss: 0.0311527 | Time: 19330.5 ms [2021-09-18 20:27:19 main:574] : INFO : Epoch 1916 | loss: 0.0311452 | val_loss: 0.0311547 | Time: 19880.7 ms [2021-09-18 20:27:37 main:574] : INFO : Epoch 1917 | loss: 0.0311376 | val_loss: 0.0311468 | Time: 18491.7 ms [2021-09-18 20:27:57 main:574] : INFO : Epoch 1918 | loss: 0.0311348 | val_loss: 0.0311458 | Time: 19208 ms [2021-09-18 20:28:16 main:574] : INFO : Epoch 1919 | loss: 0.0311318 | val_loss: 0.0311436 | Time: 19395.2 ms [2021-09-18 20:28:34 main:574] : INFO : Epoch 1920 | loss: 0.0311308 | val_loss: 0.0311409 | Time: 18012.3 ms [2021-09-18 20:28:54 main:574] : INFO : Epoch 1921 | loss: 0.0311284 | val_loss: 0.0311419 | Time: 19418.6 ms [2021-09-18 20:29:13 main:574] : INFO : Epoch 1922 | loss: 0.0311259 | val_loss: 0.0311415 | Time: 19328.7 ms [2021-09-18 20:29:31 main:574] : INFO : Epoch 1923 | loss: 0.0311254 | val_loss: 0.0311396 | Time: 18044.9 ms [2021-09-18 20:29:50 main:574] : INFO : Epoch 1924 | loss: 0.0311249 | val_loss: 0.0311409 | Time: 18812.2 ms [2021-09-18 20:30:10 main:574] : INFO : Epoch 1925 | loss: 0.0311267 | val_loss: 0.0311405 | Time: 19192.9 ms [2021-09-18 20:30:30 main:574] : INFO : Epoch 1926 | loss: 0.031124 | val_loss: 0.0311412 | Time: 19866.8 ms [2021-09-18 20:30:49 main:574] : INFO : Epoch 1927 | loss: 0.0311233 | val_loss: 0.0311411 | Time: 18881.2 ms [2021-09-18 20:31:07 main:574] : INFO : Epoch 1928 | loss: 0.0311212 | val_loss: 0.0311424 | Time: 18182.8 ms [2021-09-18 20:31:25 main:574] : INFO : Epoch 1929 | loss: 0.0311204 | val_loss: 0.0311414 | Time: 18164.5 ms [2021-09-18 20:31:44 main:574] : INFO : Epoch 1930 | loss: 0.0311202 | val_loss: 0.0311422 | Time: 18935.2 ms Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: NVIDIA GeForce GTX 1060 6GB) [2021-09-18 22:24:50 main:435] : INFO : Set logging level to 1 [2021-09-18 22:24:50 main:441] : INFO : Running in BOINC Client mode [2021-09-18 22:24:50 main:444] : INFO : Resolving all filenames [2021-09-18 22:24:50 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 (exists = 1) [2021-09-18 22:24:50 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1631732026-31082-0_0_r575952267_1 (exists = 1) [2021-09-18 22:24:50 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1631732026-31082-0_0_r575952267_0 (exists = 0) [2021-09-18 22:24:50 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 0) [2021-09-18 22:24:51 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1) [2021-09-18 22:24:51 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 [2021-09-18 22:24:51 main:474] : INFO : Configuration: [2021-09-18 22:24:51 main:475] : INFO : Model type: GRU [2021-09-18 22:24:51 main:476] : INFO : Validation Loss Threshold: 0.0001 [2021-09-18 22:24:51 main:477] : INFO : Max Epochs: 2048 [2021-09-18 22:24:51 main:478] : INFO : Batch Size: 128 [2021-09-18 22:24:51 main:479] : INFO : Learning Rate: 0.01 [2021-09-18 22:24:51 main:480] : INFO : Patience: 10 [2021-09-18 22:24:51 main:481] : INFO : Hidden Width: 12 [2021-09-18 22:24:51 main:482] : INFO : # Recurrent Layers: 4 [2021-09-18 22:24:51 main:483] : INFO : # Backend Layers: 4 [2021-09-18 22:24:51 main:484] : INFO : # Threads: 1 [2021-09-18 22:24:52 main:486] : INFO : Preparing Dataset [2021-09-18 22:24:52 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-09-18 22:24:52 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-09-18 22:25:00 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2021-09-18 22:25:00 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-09-18 22:25:00 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-09-18 22:25:00 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2021-09-18 22:25:00 main:494] : INFO : Creating Model [2021-09-18 22:25:00 main:507] : INFO : Preparing config file [2021-09-18 22:25:00 main:511] : INFO : Found checkpoint, attempting to load... [2021-09-18 22:25:01 main:512] : INFO : Loading config [2021-09-18 22:25:01 main:514] : INFO : Loading state [2021-09-18 22:25:04 main:559] : INFO : Loading DataLoader into Memory [2021-09-18 22:25:04 main:562] : INFO : Starting Training [2021-09-18 22:25:25 main:574] : INFO : Epoch 1929 | loss: 0.0312257 | val_loss: 0.0311681 | Time: 20841.5 ms [2021-09-18 22:25:44 main:574] : INFO : Epoch 1930 | loss: 0.0311357 | val_loss: 0.0311451 | Time: 18620.6 ms Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: NVIDIA GeForce GTX 1060 6GB) [2021-09-19 00:13:37 main:435] : INFO : Set logging level to 1 [2021-09-19 00:13:37 main:441] : INFO : Running in BOINC Client mode [2021-09-19 00:13:37 main:444] : INFO : Resolving all filenames [2021-09-19 00:13:37 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 (exists = 1) [2021-09-19 00:13:37 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1631732026-31082-0_0_r575952267_1 (exists = 1) [2021-09-19 00:13:37 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1631732026-31082-0_0_r575952267_0 (exists = 0) [2021-09-19 00:13:37 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 0) [2021-09-19 00:13:37 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1) [2021-09-19 00:13:37 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 [2021-09-19 00:13:37 main:474] : INFO : Configuration: [2021-09-19 00:13:37 main:475] : INFO : Model type: GRU [2021-09-19 00:13:37 main:476] : INFO : Validation Loss Threshold: 0.0001 [2021-09-19 00:13:37 main:477] : INFO : Max Epochs: 2048 [2021-09-19 00:13:38 main:478] : INFO : Batch Size: 128 [2021-09-19 00:13:38 main:479] : INFO : Learning Rate: 0.01 [2021-09-19 00:13:38 main:480] : INFO : Patience: 10 [2021-09-19 00:13:38 main:481] : INFO : Hidden Width: 12 [2021-09-19 00:13:38 main:482] : INFO : # Recurrent Layers: 4 [2021-09-19 00:13:38 main:483] : INFO : # Backend Layers: 4 [2021-09-19 00:13:38 main:484] : INFO : # Threads: 1 [2021-09-19 00:13:38 main:486] : INFO : Preparing Dataset [2021-09-19 00:13:38 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-09-19 00:13:39 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-09-19 00:13:46 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2021-09-19 00:13:46 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-09-19 00:13:46 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-09-19 00:13:46 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2021-09-19 00:13:46 main:494] : INFO : Creating Model [2021-09-19 00:13:46 main:507] : INFO : Preparing config file [2021-09-19 00:13:46 main:511] : INFO : Found checkpoint, attempting to load... [2021-09-19 00:13:46 main:512] : INFO : Loading config [2021-09-19 00:13:46 main:514] : INFO : Loading state [2021-09-19 00:13:52 main:559] : INFO : Loading DataLoader into Memory [2021-09-19 00:13:52 main:562] : INFO : Starting Training [2021-09-19 00:14:11 main:574] : INFO : Epoch 1929 | loss: 0.0312961 | val_loss: 0.0311885 | Time: 19454.2 ms [2021-09-19 00:14:30 main:574] : INFO : Epoch 1930 | loss: 0.0311536 | val_loss: 0.0311461 | Time: 18910 ms [2021-09-19 00:14:49 main:574] : INFO : Epoch 1931 | loss: 0.0311307 | val_loss: 0.0311433 | Time: 19078.3 ms [2021-09-19 00:15:09 main:574] : INFO : Epoch 1932 | loss: 0.0311284 | val_loss: 0.0311422 | Time: 18969.8 ms [2021-09-19 00:15:26 main:574] : INFO : Epoch 1933 | loss: 0.0311289 | val_loss: 0.0311401 | Time: 17840.7 ms [2021-09-19 00:15:45 main:574] : INFO : Epoch 1934 | loss: 0.0311251 | val_loss: 0.0311432 | Time: 18689.3 ms [2021-09-19 00:16:03 main:574] : INFO : Epoch 1935 | loss: 0.0311241 | val_loss: 0.0311388 | Time: 18149.1 ms [2021-09-19 00:16:23 main:574] : INFO : Epoch 1936 | loss: 0.0311247 | val_loss: 0.0311405 | Time: 19009.2 ms [2021-09-19 00:16:42 main:574] : INFO : Epoch 1937 | loss: 0.0311246 | val_loss: 0.0311411 | Time: 19195.8 ms Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: NVIDIA GeForce GTX 1060 6GB) [2021-09-19 00:18:43 main:435] : INFO : Set logging level to 1 [2021-09-19 00:18:44 main:441] : INFO : Running in BOINC Client mode [2021-09-19 00:18:44 main:444] : INFO : Resolving all filenames [2021-09-19 00:18:44 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 (exists = 1) [2021-09-19 00:18:44 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1631732026-31082-0_0_r575952267_1 (exists = 1) [2021-09-19 00:18:44 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1631732026-31082-0_0_r575952267_0 (exists = 0) [2021-09-19 00:18:44 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 0) [2021-09-19 00:18:44 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1) [2021-09-19 00:18:44 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 [2021-09-19 00:18:44 main:474] : INFO : Configuration: [2021-09-19 00:18:44 main:475] : INFO : Model type: GRU [2021-09-19 00:18:44 main:476] : INFO : Validation Loss Threshold: 0.0001 [2021-09-19 00:18:44 main:477] : INFO : Max Epochs: 2048 [2021-09-19 00:18:44 main:478] : INFO : Batch Size: 128 [2021-09-19 00:18:44 main:479] : INFO : Learning Rate: 0.01 [2021-09-19 00:18:44 main:480] : INFO : Patience: 10 [2021-09-19 00:18:44 main:481] : INFO : Hidden Width: 12 [2021-09-19 00:18:45 main:482] : INFO : # Recurrent Layers: 4 [2021-09-19 00:18:45 main:483] : INFO : # Backend Layers: 4 [2021-09-19 00:18:45 main:484] : INFO : # Threads: 1 [2021-09-19 00:18:45 main:486] : INFO : Preparing Dataset [2021-09-19 00:18:45 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-09-19 00:18:46 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-09-19 00:18:53 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2021-09-19 00:18:53 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-09-19 00:18:53 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-09-19 00:18:54 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2021-09-19 00:18:54 main:494] : INFO : Creating Model [2021-09-19 00:18:54 main:507] : INFO : Preparing config file [2021-09-19 00:18:54 main:511] : INFO : Found checkpoint, attempting to load... [2021-09-19 00:18:54 main:512] : INFO : Loading config [2021-09-19 00:18:54 main:514] : INFO : Loading state [2021-09-19 00:18:57 main:559] : INFO : Loading DataLoader into Memory [2021-09-19 00:18:57 main:562] : INFO : Starting Training [2021-09-19 00:19:16 main:574] : INFO : Epoch 1936 | loss: 0.0313261 | val_loss: 0.0312048 | Time: 18991.9 ms [2021-09-19 00:19:33 main:574] : INFO : Epoch 1937 | loss: 0.0311645 | val_loss: 0.031143 | Time: 16702.2 ms [2021-09-19 00:19:50 main:574] : INFO : Epoch 1938 | loss: 0.0311282 | val_loss: 0.0311382 | Time: 17091.1 ms [2021-09-19 00:20:07 main:574] : INFO : Epoch 1939 | loss: 0.031125 | val_loss: 0.0311373 | Time: 16715.8 ms [2021-09-19 00:20:24 main:574] : INFO : Epoch 1940 | loss: 0.0311228 | val_loss: 0.0311337 | Time: 16689.8 ms [2021-09-19 00:20:41 main:574] : INFO : Epoch 1941 | loss: 0.0311195 | val_loss: 0.0311319 | Time: 17038.9 ms [2021-09-19 00:20:57 main:574] : INFO : Epoch 1942 | loss: 0.0311184 | val_loss: 0.0311305 | Time: 16273.6 ms [2021-09-19 00:21:14 main:574] : INFO : Epoch 1943 | loss: 0.031117 | val_loss: 0.031133 | Time: 17332.9 ms [2021-09-19 00:21:32 main:574] : INFO : Epoch 1944 | loss: 0.0311171 | val_loss: 0.031132 | Time: 17080.9 ms [2021-09-19 00:21:49 main:574] : INFO : Epoch 1945 | loss: 0.0311163 | val_loss: 0.0311336 | Time: 17071.5 ms [2021-09-19 00:22:06 main:574] : INFO : Epoch 1946 | loss: 0.0311199 | val_loss: 0.0311307 | Time: 17383.7 ms [2021-09-19 00:22:23 main:574] : INFO : Epoch 1947 | loss: 0.0311161 | val_loss: 0.0311303 | Time: 16845 ms [2021-09-19 00:22:40 main:574] : INFO : Epoch 1948 | loss: 0.0311175 | val_loss: 0.0311343 | Time: 16278.8 ms [2021-09-19 00:22:57 main:574] : INFO : Epoch 1949 | loss: 0.0311233 | val_loss: 0.0311369 | Time: 17073.7 ms [2021-09-19 00:23:14 main:574] : INFO : Epoch 1950 | loss: 0.0311209 | val_loss: 0.0311352 | Time: 17299 ms [2021-09-19 00:23:31 main:574] : INFO : Epoch 1951 | loss: 0.0311176 | val_loss: 0.0311316 | Time: 16405.5 ms [2021-09-19 00:23:48 main:574] : INFO : Epoch 1952 | loss: 0.031119 | val_loss: 0.0311389 | Time: 16737.3 ms [2021-09-19 00:24:05 main:574] : INFO : Epoch 1953 | loss: 0.0311167 | val_loss: 0.0311359 | Time: 17565.4 ms [2021-09-19 00:24:22 main:574] : INFO : Epoch 1954 | loss: 0.0311183 | val_loss: 0.0311393 | Time: 16783.6 ms [2021-09-19 00:24:39 main:574] : INFO : Epoch 1955 | loss: 0.031124 | val_loss: 0.0311357 | Time: 16683.4 ms [2021-09-19 00:24:57 main:574] : INFO : Epoch 1956 | loss: 0.0311271 | val_loss: 0.031136 | Time: 17261.8 ms [2021-09-19 00:25:13 main:574] : INFO : Epoch 1957 | loss: 0.0311273 | val_loss: 0.0311336 | Time: 16312.1 ms [2021-09-19 00:25:30 main:574] : INFO : Epoch 1958 | loss: 0.031122 | val_loss: 0.0311339 | Time: 16477 ms [2021-09-19 00:25:47 main:574] : INFO : Epoch 1959 | loss: 0.0311211 | val_loss: 0.0311321 | Time: 17027.1 ms [2021-09-19 00:26:04 main:574] : INFO : Epoch 1960 | loss: 0.0311191 | val_loss: 0.0311274 | Time: 16657.1 ms [2021-09-19 00:26:20 main:574] : INFO : Epoch 1961 | loss: 0.0311158 | val_loss: 0.0311274 | Time: 16617.5 ms [2021-09-19 00:26:38 main:574] : INFO : Epoch 1962 | loss: 0.0311142 | val_loss: 0.031126 | Time: 17680.8 ms [2021-09-19 00:26:56 main:574] : INFO : Epoch 1963 | loss: 0.0311118 | val_loss: 0.0311293 | Time: 17224.7 ms [2021-09-19 00:27:13 main:574] : INFO : Epoch 1964 | loss: 0.0311115 | val_loss: 0.031128 | Time: 16922.7 ms [2021-09-19 00:27:31 main:574] : INFO : Epoch 1965 | loss: 0.0311091 | val_loss: 0.0311283 | Time: 18181.7 ms [2021-09-19 00:27:47 main:574] : INFO : Epoch 1966 | loss: 0.0311097 | val_loss: 0.0311268 | Time: 15641 ms [2021-09-19 00:28:02 main:574] : INFO : Epoch 1967 | loss: 0.0311082 | val_loss: 0.0311287 | Time: 15184.2 ms [2021-09-19 00:28:18 main:574] : INFO : Epoch 1968 | loss: 0.0311061 | val_loss: 0.0311256 | Time: 15432.5 ms [2021-09-19 00:28:33 main:574] : INFO : Epoch 1969 | loss: 0.03111 | val_loss: 0.0311399 | Time: 15340.9 ms [2021-09-19 00:28:48 main:574] : INFO : Epoch 1970 | loss: 0.0311168 | val_loss: 0.0311299 | Time: 15097.1 ms [2021-09-19 00:29:04 main:574] : INFO : Epoch 1971 | loss: 0.0311139 | val_loss: 0.0311308 | Time: 15969.9 ms [2021-09-19 00:29:20 main:574] : INFO : Epoch 1972 | loss: 0.0311113 | val_loss: 0.0311252 | Time: 15603.4 ms [2021-09-19 00:29:36 main:574] : INFO : Epoch 1973 | loss: 0.0311092 | val_loss: 0.0311297 | Time: 15683.9 ms [2021-09-19 00:29:52 main:574] : INFO : Epoch 1974 | loss: 0.0311081 | val_loss: 0.0311268 | Time: 15543.6 ms [2021-09-19 00:30:07 main:574] : INFO : Epoch 1975 | loss: 0.0311104 | val_loss: 0.0311311 | Time: 15488 ms [2021-09-19 00:30:23 main:574] : INFO : Epoch 1976 | loss: 0.0311119 | val_loss: 0.0311302 | Time: 15457 ms [2021-09-19 00:30:38 main:574] : INFO : Epoch 1977 | loss: 0.0311105 | val_loss: 0.0311292 | Time: 14882.4 ms [2021-09-19 00:30:54 main:574] : INFO : Epoch 1978 | loss: 0.0311095 | val_loss: 0.0311302 | Time: 15864.9 ms [2021-09-19 00:31:10 main:574] : INFO : Epoch 1979 | loss: 0.0311093 | val_loss: 0.0311346 | Time: 15666.6 ms [2021-09-19 00:31:26 main:574] : INFO : Epoch 1980 | loss: 0.0311079 | val_loss: 0.0311322 | Time: 16047.9 ms [2021-09-19 00:31:42 main:574] : INFO : Epoch 1981 | loss: 0.0311156 | val_loss: 0.0311295 | Time: 15620.6 ms [2021-09-19 00:31:58 main:574] : INFO : Epoch 1982 | loss: 0.0311154 | val_loss: 0.0311263 | Time: 15870.6 ms [2021-09-19 00:32:13 main:574] : INFO : Epoch 1983 | loss: 0.031111 | val_loss: 0.0311293 | Time: 15553.6 ms [2021-09-19 00:32:29 main:574] : INFO : Epoch 1984 | loss: 0.0311086 | val_loss: 0.0311222 | Time: 15054.9 ms [2021-09-19 00:32:44 main:574] : INFO : Epoch 1985 | loss: 0.0311054 | val_loss: 0.0311254 | Time: 15506.1 ms [2021-09-19 00:33:00 main:574] : INFO : Epoch 1986 | loss: 0.0311058 | val_loss: 0.0311266 | Time: 15438.8 ms [2021-09-19 00:33:16 main:574] : INFO : Epoch 1987 | loss: 0.0311039 | val_loss: 0.0311227 | Time: 15800.3 ms [2021-09-19 00:33:31 main:574] : INFO : Epoch 1988 | loss: 0.0311035 | val_loss: 0.0311246 | Time: 15309.9 ms [2021-09-19 00:33:47 main:574] : INFO : Epoch 1989 | loss: 0.0311012 | val_loss: 0.0311198 | Time: 15347.9 ms [2021-09-19 00:34:02 main:574] : INFO : Epoch 1990 | loss: 0.031102 | val_loss: 0.031144 | Time: 15495.2 ms [2021-09-19 00:34:18 main:574] : INFO : Epoch 1991 | loss: 0.031105 | val_loss: 0.0311261 | Time: 15421 ms [2021-09-19 00:34:33 main:574] : INFO : Epoch 1992 | loss: 0.0311026 | val_loss: 0.0311342 | Time: 15343.5 ms [2021-09-19 00:34:48 main:574] : INFO : Epoch 1993 | loss: 0.0311224 | val_loss: 0.0311399 | Time: 15238.7 ms [2021-09-19 00:35:05 main:574] : INFO : Epoch 1994 | loss: 0.0311315 | val_loss: 0.0311436 | Time: 15940.9 ms [2021-09-19 00:35:20 main:574] : INFO : Epoch 1995 | loss: 0.0311248 | val_loss: 0.0311332 | Time: 15284.2 ms [2021-09-19 00:35:36 main:574] : INFO : Epoch 1996 | loss: 0.0311162 | val_loss: 0.0311272 | Time: 15706 ms [2021-09-19 00:35:51 main:574] : INFO : Epoch 1997 | loss: 0.0311124 | val_loss: 0.0311288 | Time: 15215 ms [2021-09-19 00:36:07 main:574] : INFO : Epoch 1998 | loss: 0.0311102 | val_loss: 0.0311286 | Time: 15564.5 ms [2021-09-19 00:36:22 main:574] : INFO : Epoch 1999 | loss: 0.0311091 | val_loss: 0.031126 | Time: 15373.2 ms [2021-09-19 00:36:38 main:574] : INFO : Epoch 2000 | loss: 0.0311059 | val_loss: 0.0311268 | Time: 15559 ms [2021-09-19 00:36:54 main:574] : INFO : Epoch 2001 | loss: 0.0311048 | val_loss: 0.0311261 | Time: 15676 ms [2021-09-19 00:37:09 main:574] : INFO : Epoch 2002 | loss: 0.0311076 | val_loss: 0.0311427 | Time: 15232.1 ms [2021-09-19 00:37:25 main:574] : INFO : Epoch 2003 | loss: 0.0311463 | val_loss: 0.0311472 | Time: 16022 ms [2021-09-19 00:37:41 main:574] : INFO : Epoch 2004 | loss: 0.0311456 | val_loss: 0.031143 | Time: 15318.3 ms [2021-09-19 00:37:56 main:574] : INFO : Epoch 2005 | loss: 0.0311334 | val_loss: 0.0311377 | Time: 15492.1 ms [2021-09-19 00:38:12 main:574] : INFO : Epoch 2006 | loss: 0.0311277 | val_loss: 0.0311361 | Time: 15476.3 ms [2021-09-19 00:38:28 main:574] : INFO : Epoch 2007 | loss: 0.0311242 | val_loss: 0.0311328 | Time: 15430.6 ms [2021-09-19 00:38:43 main:574] : INFO : Epoch 2008 | loss: 0.0311198 | val_loss: 0.0311314 | Time: 15390.4 ms [2021-09-19 00:38:58 main:574] : INFO : Epoch 2009 | loss: 0.0311149 | val_loss: 0.031134 | Time: 15004.2 ms [2021-09-19 00:39:14 main:574] : INFO : Epoch 2010 | loss: 0.0311126 | val_loss: 0.0311322 | Time: 15781.5 ms [2021-09-19 00:39:29 main:574] : INFO : Epoch 2011 | loss: 0.031111 | val_loss: 0.0311305 | Time: 14808.5 ms [2021-09-19 00:39:44 main:574] : INFO : Epoch 2012 | loss: 0.0311087 | val_loss: 0.0311279 | Time: 15108.8 ms [2021-09-19 00:40:00 main:574] : INFO : Epoch 2013 | loss: 0.031108 | val_loss: 0.0311431 | Time: 15462.1 ms [2021-09-19 00:40:16 main:574] : INFO : Epoch 2014 | loss: 0.0311082 | val_loss: 0.0311285 | Time: 15905.4 ms [2021-09-19 00:40:32 main:574] : INFO : Epoch 2015 | loss: 0.0311039 | val_loss: 0.0311322 | Time: 15513.4 ms [2021-09-19 00:40:47 main:574] : INFO : Epoch 2016 | loss: 0.0311033 | val_loss: 0.0311278 | Time: 15776.5 ms [2021-09-19 00:41:03 main:574] : INFO : Epoch 2017 | loss: 0.0311019 | val_loss: 0.0311275 | Time: 15091.7 ms [2021-09-19 00:41:18 main:574] : INFO : Epoch 2018 | loss: 0.0311015 | val_loss: 0.0311244 | Time: 15148.3 ms [2021-09-19 00:41:33 main:574] : INFO : Epoch 2019 | loss: 0.0311009 | val_loss: 0.0311334 | Time: 15307 ms [2021-09-19 00:41:49 main:574] : INFO : Epoch 2020 | loss: 0.0311209 | val_loss: 0.0311357 | Time: 15367.8 ms [2021-09-19 00:42:04 main:574] : INFO : Epoch 2021 | loss: 0.0311244 | val_loss: 0.0311372 | Time: 15625.1 ms [2021-09-19 00:42:20 main:574] : INFO : Epoch 2022 | loss: 0.031129 | val_loss: 0.0311377 | Time: 15251.7 ms [2021-09-19 00:42:36 main:574] : INFO : Epoch 2023 | loss: 0.0311246 | val_loss: 0.031129 | Time: 15829.6 ms [2021-09-19 00:42:52 main:574] : INFO : Epoch 2024 | loss: 0.0311153 | val_loss: 0.0311261 | Time: 15669.9 ms [2021-09-19 00:43:07 main:574] : INFO : Epoch 2025 | loss: 0.0311123 | val_loss: 0.0311264 | Time: 15472.9 ms [2021-09-19 00:43:23 main:574] : INFO : Epoch 2026 | loss: 0.0311108 | val_loss: 0.0311321 | Time: 15312 ms [2021-09-19 00:43:38 main:574] : INFO : Epoch 2027 | loss: 0.0311109 | val_loss: 0.0311269 | Time: 15116 ms [2021-09-19 00:43:53 main:574] : INFO : Epoch 2028 | loss: 0.0311086 | val_loss: 0.0311246 | Time: 15432.6 ms [2021-09-19 00:44:08 main:574] : INFO : Epoch 2029 | loss: 0.0311081 | val_loss: 0.031124 | Time: 14938.5 ms [2021-09-19 00:44:24 main:574] : INFO : Epoch 2030 | loss: 0.0311031 | val_loss: 0.0311236 | Time: 15843.5 ms [2021-09-19 00:44:40 main:574] : INFO : Epoch 2031 | loss: 0.0311032 | val_loss: 0.0311226 | Time: 15233.8 ms [2021-09-19 00:44:55 main:574] : INFO : Epoch 2032 | loss: 0.0311057 | val_loss: 0.031132 | Time: 15357.3 ms [2021-09-19 00:45:11 main:574] : INFO : Epoch 2033 | loss: 0.0311255 | val_loss: 0.031137 | Time: 15441.1 ms [2021-09-19 00:45:26 main:574] : INFO : Epoch 2034 | loss: 0.0311362 | val_loss: 0.0311377 | Time: 15471.3 ms [2021-09-19 00:45:42 main:574] : INFO : Epoch 2035 | loss: 0.0311281 | val_loss: 0.0311344 | Time: 15219.1 ms [2021-09-19 00:45:57 main:574] : INFO : Epoch 2036 | loss: 0.0311214 | val_loss: 0.0311284 | Time: 15195.7 ms [2021-09-19 00:46:12 main:574] : INFO : Epoch 2037 | loss: 0.0311173 | val_loss: 0.0311277 | Time: 15159.2 ms [2021-09-19 00:46:28 main:574] : INFO : Epoch 2038 | loss: 0.0311157 | val_loss: 0.0311271 | Time: 15678.6 ms [2021-09-19 00:46:43 main:574] : INFO : Epoch 2039 | loss: 0.0311146 | val_loss: 0.0311251 | Time: 15060.7 ms [2021-09-19 00:46:59 main:574] : INFO : Epoch 2040 | loss: 0.031112 | val_loss: 0.0311275 | Time: 15574.3 ms [2021-09-19 00:47:15 main:574] : INFO : Epoch 2041 | loss: 0.031112 | val_loss: 0.0311315 | Time: 15543.7 ms [2021-09-19 00:47:30 main:574] : INFO : Epoch 2042 | loss: 0.0311253 | val_loss: 0.0311268 | Time: 15285.1 ms [2021-09-19 00:47:46 main:574] : INFO : Epoch 2043 | loss: 0.0311207 | val_loss: 0.0311359 | Time: 15541.4 ms [2021-09-19 00:48:02 main:574] : INFO : Epoch 2044 | loss: 0.0311152 | val_loss: 0.0311213 | Time: 15928.4 ms [2021-09-19 00:48:18 main:574] : INFO : Epoch 2045 | loss: 0.0311099 | val_loss: 0.0311218 | Time: 15620.5 ms [2021-09-19 00:48:33 main:574] : INFO : Epoch 2046 | loss: 0.031107 | val_loss: 0.031121 | Time: 15344.7 ms [2021-09-19 00:48:48 main:574] : INFO : Epoch 2047 | loss: 0.0311084 | val_loss: 0.0311209 | Time: 15006 ms [2021-09-19 00:49:04 main:574] : INFO : Epoch 2048 | loss: 0.0311045 | val_loss: 0.031119 | Time: 15780.4 ms [2021-09-19 00:49:04 main:597] : INFO : Saving trained model to model-final.pt, val_loss 0.031119 [2021-09-19 00:49:05 main:603] : INFO : Saving end state to config to file [2021-09-19 00:49:05 main:608] : INFO : Success, exiting.. 00:49:05 (380): 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)