Task 12831786
| Name | ParityModified-1645996962-2064-1-0_0 |
| Workunit | 9976052 |
| Created | 9 Mar 2022, 16:14:40 UTC |
| Sent | 10 Mar 2022, 14:34:20 UTC |
| Report deadline | 18 Mar 2022, 14:34:20 UTC |
| Received | 16 Mar 2022, 16:17:39 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 20730 |
| Run time | 1 hours 0 min 39 sec |
| CPU time | 59 min 21 sec |
| Validate state | Valid |
| Credit | 4,160.00 |
| Device peak FLOPS | 2,197.48 GFLOPS |
| Application version | Machine Learning Dataset Generator (GPU) v9.75 (cuda10200) windows_x86_64 |
| Peak working set size | 1.63 GB |
| Peak swap size | 3.59 GB |
| Peak disk usage | 1.54 GB |
Stderr output
<core_client_version>7.16.20</core_client_version> <![CDATA[ <stderr_txt> [2022-03-16 09:22:58 main:574] : INFO : Epoch 1702 | loss: 0.0311683 | val_loss: 0.0311609 | Time: 1757.56 ms [2022-03-16 09:23:00 main:574] : INFO : Epoch 1703 | loss: 0.0311539 | val_loss: 0.0311628 | Time: 1769.26 ms [2022-03-16 09:23:01 main:574] : INFO : Epoch 1704 | loss: 0.0311492 | val_loss: 0.0311506 | Time: 1765.59 ms [2022-03-16 09:23:03 main:574] : INFO : Epoch 1705 | loss: 0.031146 | val_loss: 0.0311544 | Time: 1764.16 ms [2022-03-16 09:23:05 main:574] : INFO : Epoch 1706 | loss: 0.0311466 | val_loss: 0.0311582 | Time: 1764.44 ms [2022-03-16 09:23:07 main:574] : INFO : Epoch 1707 | loss: 0.0311519 | val_loss: 0.0311541 | Time: 1764.05 ms [2022-03-16 09:23:08 main:574] : INFO : Epoch 1708 | loss: 0.0311457 | val_loss: 0.0311557 | Time: 1763.37 ms [2022-03-16 09:23:10 main:574] : INFO : Epoch 1709 | loss: 0.0311434 | val_loss: 0.0311546 | Time: 1760.6 ms [2022-03-16 09:23:12 main:574] : INFO : Epoch 1710 | loss: 0.0311445 | val_loss: 0.0311552 | Time: 1861.94 ms [2022-03-16 09:23:14 main:574] : INFO : Epoch 1711 | loss: 0.0311417 | val_loss: 0.0311518 | Time: 1758.22 ms [2022-03-16 09:23:16 main:574] : INFO : Epoch 1712 | loss: 0.0311398 | val_loss: 0.0311501 | Time: 1764.36 ms [2022-03-16 09:23:17 main:574] : INFO : Epoch 1713 | loss: 0.0311368 | val_loss: 0.0311521 | Time: 1760.39 ms [2022-03-16 09:23:19 main:574] : INFO : Epoch 1714 | loss: 0.0311357 | val_loss: 0.0311464 | Time: 1762.67 ms [2022-03-16 09:23:21 main:574] : INFO : Epoch 1715 | loss: 0.0311371 | val_loss: 0.0311572 | Time: 1759.78 ms [2022-03-16 09:23:23 main:574] : INFO : Epoch 1716 | loss: 0.031137 | val_loss: 0.0311494 | Time: 1772.87 ms [2022-03-16 09:23:24 main:574] : INFO : Epoch 1717 | loss: 0.0311364 | val_loss: 0.0311696 | Time: 1775.7 ms [2022-03-16 09:23:26 main:574] : INFO : Epoch 1718 | loss: 0.0311422 | val_loss: 0.0311513 | Time: 1762.34 ms [2022-03-16 09:23:28 main:574] : INFO : Epoch 1719 | loss: 0.0311325 | val_loss: 0.0311489 | Time: 1842.43 ms [2022-03-16 09:23:30 main:574] : INFO : Epoch 1720 | loss: 0.0311301 | val_loss: 0.0311481 | Time: 1764.75 ms [2022-03-16 09:23:32 main:574] : INFO : Epoch 1721 | loss: 0.0311305 | val_loss: 0.0311466 | Time: 1760.02 ms [2022-03-16 09:23:33 main:574] : INFO : Epoch 1722 | loss: 0.0311336 | val_loss: 0.0311505 | Time: 1757.85 ms [2022-03-16 09:23:35 main:574] : INFO : Epoch 1723 | loss: 0.0311318 | val_loss: 0.0311506 | Time: 1756.21 ms [2022-03-16 09:23:37 main:574] : INFO : Epoch 1724 | loss: 0.0311331 | val_loss: 0.031157 | Time: 1750.31 ms [2022-03-16 09:23:39 main:574] : INFO : Epoch 1725 | loss: 0.0311339 | val_loss: 0.0311491 | Time: 1759.64 ms [2022-03-16 09:23:40 main:574] : INFO : Epoch 1726 | loss: 0.0311289 | val_loss: 0.0311477 | Time: 1757.61 ms [2022-03-16 09:23:42 main:574] : INFO : Epoch 1727 | loss: 0.0311289 | val_loss: 0.0311531 | Time: 1758.81 ms [2022-03-16 09:23:44 main:574] : INFO : Epoch 1728 | loss: 0.0311301 | val_loss: 0.0311555 | Time: 1756.34 ms [2022-03-16 09:23:46 main:574] : INFO : Epoch 1729 | loss: 0.031132 | val_loss: 0.031145 | Time: 1830.61 ms [2022-03-16 09:23:48 main:574] : INFO : Epoch 1730 | loss: 0.0311374 | val_loss: 0.0311521 | Time: 1928.23 ms [2022-03-16 09:23:49 main:574] : INFO : Epoch 1731 | loss: 0.0311336 | val_loss: 0.0311544 | Time: 1807.84 ms [2022-03-16 09:23:51 main:574] : INFO : Epoch 1732 | loss: 0.0311313 | val_loss: 0.0311489 | Time: 1787.07 ms [2022-03-16 09:23:53 main:574] : INFO : Epoch 1733 | loss: 0.0311298 | val_loss: 0.0311512 | Time: 1781.61 ms [2022-03-16 09:23:55 main:574] : INFO : Epoch 1734 | loss: 0.031129 | val_loss: 0.0311466 | Time: 1817.23 ms [2022-03-16 09:23:57 main:574] : INFO : Epoch 1735 | loss: 0.0311306 | val_loss: 0.0311494 | Time: 1790.92 ms [2022-03-16 09:24:09 main:574] : INFO : Epoch 1736 | loss: 0.0311354 | val_loss: 0.0311544 | Time: 11895.4 ms [2022-03-16 09:24:10 main:574] : INFO : Epoch 1737 | loss: 0.0311298 | val_loss: 0.0311522 | Time: 1840.68 ms [2022-03-16 09:24:12 main:574] : INFO : Epoch 1738 | loss: 0.0311253 | val_loss: 0.0311452 | Time: 1788.5 ms [2022-03-16 09:24:14 main:574] : INFO : Epoch 1739 | loss: 0.0311255 | val_loss: 0.0311488 | Time: 1788.15 ms [2022-03-16 09:24:16 main:574] : INFO : Epoch 1740 | loss: 0.0311259 | val_loss: 0.0311602 | Time: 1786.1 ms [2022-03-16 09:24:18 main:574] : INFO : Epoch 1741 | loss: 0.0311306 | val_loss: 0.031156 | Time: 1792.9 ms [2022-03-16 09:24:29 main:574] : INFO : Epoch 1742 | loss: 0.0311309 | val_loss: 0.031149 | Time: 11911.4 ms [2022-03-16 09:24:31 main:574] : INFO : Epoch 1743 | loss: 0.0311342 | val_loss: 0.0311534 | Time: 1787.64 ms [2022-03-16 09:24:33 main:574] : INFO : Epoch 1744 | loss: 0.0311269 | val_loss: 0.031149 | Time: 1786.32 ms [2022-03-16 09:24:35 main:574] : INFO : Epoch 1745 | loss: 0.0311277 | val_loss: 0.0311524 | Time: 1895.8 ms [2022-03-16 09:24:37 main:574] : INFO : Epoch 1746 | loss: 0.0311287 | val_loss: 0.0311475 | Time: 1785.11 ms [2022-03-16 09:24:38 main:574] : INFO : Epoch 1747 | loss: 0.0311254 | val_loss: 0.0311467 | Time: 1780.8 ms [2022-03-16 09:24:50 main:574] : INFO : Epoch 1748 | loss: 0.0311253 | val_loss: 0.0311484 | Time: 11707.9 ms [2022-03-16 09:24:52 main:574] : INFO : Epoch 1749 | loss: 0.0311251 | val_loss: 0.0311521 | Time: 1856.6 ms [2022-03-16 09:24:54 main:574] : INFO : Epoch 1750 | loss: 0.0311225 | val_loss: 0.0311515 | Time: 1790.1 ms [2022-03-16 09:24:56 main:574] : INFO : Epoch 1751 | loss: 0.0311226 | val_loss: 0.031149 | Time: 1793.34 ms [2022-03-16 09:24:57 main:574] : INFO : Epoch 1752 | loss: 0.0311196 | val_loss: 0.0311483 | Time: 1798.44 ms [2022-03-16 09:25:10 main:574] : INFO : Epoch 1753 | loss: 0.0311216 | val_loss: 0.0311549 | Time: 12052.4 ms [2022-03-16 09:25:11 main:574] : INFO : Epoch 1754 | loss: 0.0311232 | val_loss: 0.0311532 | Time: 1779.83 ms [2022-03-16 09:25:13 main:574] : INFO : Epoch 1755 | loss: 0.0311244 | val_loss: 0.0311589 | Time: 1798.27 ms [2022-03-16 09:25:15 main:574] : INFO : Epoch 1756 | loss: 0.0311352 | val_loss: 0.0311518 | Time: 1787.07 ms [2022-03-16 09:25:17 main:574] : INFO : Epoch 1757 | loss: 0.0311242 | val_loss: 0.0311471 | Time: 1792.89 ms [2022-03-16 09:25:18 main:574] : INFO : Epoch 1758 | loss: 0.0311221 | val_loss: 0.0311481 | Time: 1780.93 ms [2022-03-16 09:25:30 main:574] : INFO : Epoch 1759 | loss: 0.0311205 | val_loss: 0.0311487 | Time: 11819.8 ms [2022-03-16 09:25:32 main:574] : INFO : Epoch 1760 | loss: 0.0311189 | val_loss: 0.0311483 | Time: 1784.19 ms [2022-03-16 09:25:34 main:574] : INFO : Epoch 1761 | loss: 0.0311222 | val_loss: 0.0311449 | Time: 1787.86 ms [2022-03-16 09:25:36 main:574] : INFO : Epoch 1762 | loss: 0.0311227 | val_loss: 0.0311508 | Time: 1782.71 ms [2022-03-16 09:25:37 main:574] : INFO : Epoch 1763 | loss: 0.0311209 | val_loss: 0.0311548 | Time: 1794.81 ms [2022-03-16 09:25:39 main:574] : INFO : Epoch 1764 | loss: 0.0311183 | val_loss: 0.0311545 | Time: 1779.42 ms [2022-03-16 09:25:41 main:574] : INFO : Epoch 1765 | loss: 0.0311305 | val_loss: 0.0311475 | Time: 1786.56 ms [2022-03-16 09:25:43 main:574] : INFO : Epoch 1766 | loss: 0.031132 | val_loss: 0.0311492 | Time: 1783.98 ms [2022-03-16 09:25:45 main:574] : INFO : Epoch 1767 | loss: 0.0311255 | val_loss: 0.0311509 | Time: 1892.91 ms [2022-03-16 09:25:47 main:574] : INFO : Epoch 1768 | loss: 0.0311247 | val_loss: 0.0311463 | Time: 1786.12 ms [2022-03-16 09:25:48 main:574] : INFO : Epoch 1769 | loss: 0.0311242 | val_loss: 0.0311482 | Time: 1810.93 ms [2022-03-16 09:25:50 main:574] : INFO : Epoch 1770 | loss: 0.0311204 | val_loss: 0.0311474 | Time: 1801.06 ms [2022-03-16 09:25:52 main:574] : INFO : Epoch 1771 | loss: 0.0311195 | val_loss: 0.0311547 | Time: 1796.62 ms [2022-03-16 09:25:54 main:574] : INFO : Epoch 1772 | loss: 0.0311194 | val_loss: 0.0311494 | Time: 1787.15 ms [2022-03-16 09:25:56 main:574] : INFO : Epoch 1773 | loss: 0.0311198 | val_loss: 0.031149 | Time: 1801.96 ms [2022-03-16 09:25:57 main:574] : INFO : Epoch 1774 | loss: 0.0311187 | val_loss: 0.0311564 | Time: 1790.93 ms [2022-03-16 09:26:09 main:574] : INFO : Epoch 1775 | loss: 0.0311185 | val_loss: 0.0311534 | Time: 12024.5 ms [2022-03-16 09:26:11 main:574] : INFO : Epoch 1776 | loss: 0.0311154 | val_loss: 0.0311472 | Time: 1790.33 ms [2022-03-16 09:26:13 main:574] : INFO : Epoch 1777 | loss: 0.0311168 | val_loss: 0.0311546 | Time: 1779.5 ms [2022-03-16 09:26:15 main:574] : INFO : Epoch 1778 | loss: 0.0311184 | val_loss: 0.0311568 | Time: 1781.91 ms [2022-03-16 09:26:17 main:574] : INFO : Epoch 1779 | loss: 0.0311182 | val_loss: 0.0311537 | Time: 1783.1 ms [2022-03-16 09:26:18 main:574] : INFO : Epoch 1780 | loss: 0.0311178 | val_loss: 0.0311566 | Time: 1847.11 ms [2022-03-16 09:26:30 main:574] : INFO : Epoch 1781 | loss: 0.0311234 | val_loss: 0.0311609 | Time: 11826 ms [2022-03-16 09:26:32 main:574] : INFO : Epoch 1782 | loss: 0.0311191 | val_loss: 0.0311505 | Time: 1774.56 ms [2022-03-16 09:26:34 main:574] : INFO : Epoch 1783 | loss: 0.0311138 | val_loss: 0.031154 | Time: 1778.77 ms [2022-03-16 09:26:36 main:574] : INFO : Epoch 1784 | loss: 0.0311119 | val_loss: 0.0311525 | Time: 1873.9 ms [2022-03-16 09:26:37 main:574] : INFO : Epoch 1785 | loss: 0.0311117 | val_loss: 0.0311593 | Time: 1786.54 ms [2022-03-16 09:26:49 main:574] : INFO : Epoch 1786 | loss: 0.0311171 | val_loss: 0.0311547 | Time: 11857.1 ms [2022-03-16 09:26:51 main:574] : INFO : Epoch 1787 | loss: 0.031112 | val_loss: 0.031156 | Time: 1801.38 ms [2022-03-16 09:26:53 main:574] : INFO : Epoch 1788 | loss: 0.0311152 | val_loss: 0.0311592 | Time: 1882.62 ms [2022-03-16 09:26:55 main:574] : INFO : Epoch 1789 | loss: 0.031112 | val_loss: 0.0311595 | Time: 1771.64 ms [2022-03-16 09:26:57 main:574] : INFO : Epoch 1790 | loss: 0.0311143 | val_loss: 0.0311509 | Time: 1790.82 ms [2022-03-16 09:26:58 main:574] : INFO : Epoch 1791 | loss: 0.0311239 | val_loss: 0.031152 | Time: 1782.31 ms [2022-03-16 09:27:10 main:574] : INFO : Epoch 1792 | loss: 0.0311161 | val_loss: 0.0311534 | Time: 11937.4 ms [2022-03-16 09:27:12 main:574] : INFO : Epoch 1793 | loss: 0.0311134 | val_loss: 0.0311529 | Time: 1789.42 ms [2022-03-16 09:27:14 main:574] : INFO : Epoch 1794 | loss: 0.0311145 | val_loss: 0.0311513 | Time: 1787.85 ms [2022-03-16 09:27:16 main:574] : INFO : Epoch 1795 | loss: 0.0311108 | val_loss: 0.0311518 | Time: 1788.88 ms [2022-03-16 09:27:17 main:574] : INFO : Epoch 1796 | loss: 0.0311145 | val_loss: 0.031156 | Time: 1788.75 ms [2022-03-16 09:27:19 main:574] : INFO : Epoch 1797 | loss: 0.0311121 | val_loss: 0.0311485 | Time: 1789.54 ms [2022-03-16 09:27:31 main:574] : INFO : Epoch 1798 | loss: 0.0311132 | val_loss: 0.0311547 | Time: 11777.2 ms [2022-03-16 09:27:33 main:574] : INFO : Epoch 1799 | loss: 0.031114 | val_loss: 0.0311608 | Time: 1789.2 ms [2022-03-16 09:27:35 main:574] : INFO : Epoch 1800 | loss: 0.0311097 | val_loss: 0.0311478 | Time: 1781.79 ms [2022-03-16 09:27:36 main:574] : INFO : Epoch 1801 | loss: 0.0311092 | val_loss: 0.0311591 | Time: 1782.12 ms [2022-03-16 09:27:38 main:574] : INFO : Epoch 1802 | loss: 0.0311122 | val_loss: 0.0311589 | Time: 1783.03 ms [2022-03-16 09:27:40 main:574] : INFO : Epoch 1803 | loss: 0.0311108 | val_loss: 0.0311567 | Time: 1773.81 ms [2022-03-16 09:27:42 main:574] : INFO : Epoch 1804 | loss: 0.0311181 | val_loss: 0.031157 | Time: 1790.67 ms [2022-03-16 09:27:44 main:574] : INFO : Epoch 1805 | loss: 0.0311178 | val_loss: 0.0311561 | Time: 1868.57 ms [2022-03-16 09:27:45 main:574] : INFO : Epoch 1806 | loss: 0.0311114 | val_loss: 0.0311561 | Time: 1779.15 ms [2022-03-16 09:27:47 main:574] : INFO : Epoch 1807 | loss: 0.0311094 | val_loss: 0.0311542 | Time: 1783.21 ms [2022-03-16 09:27:49 main:574] : INFO : Epoch 1808 | loss: 0.0311105 | val_loss: 0.0311566 | Time: 1792.07 ms [2022-03-16 09:28:11 main:574] : INFO : Epoch 1809 | loss: 0.0311113 | val_loss: 0.0311543 | Time: 22023.7 ms [2022-03-16 09:28:13 main:574] : INFO : Epoch 1810 | loss: 0.0311137 | val_loss: 0.0311579 | Time: 1771.54 ms [2022-03-16 09:28:15 main:574] : INFO : Epoch 1811 | loss: 0.0311107 | val_loss: 0.0311568 | Time: 1763.74 ms [2022-03-16 09:28:16 main:574] : INFO : Epoch 1812 | loss: 0.0311088 | val_loss: 0.0311637 | Time: 1781.18 ms [2022-03-16 09:28:18 main:574] : INFO : Epoch 1813 | loss: 0.0311105 | val_loss: 0.0311573 | Time: 1868.79 ms [2022-03-16 09:28:30 main:574] : INFO : Epoch 1814 | loss: 0.0311096 | val_loss: 0.0311602 | Time: 11809.6 ms [2022-03-16 09:28:32 main:574] : INFO : Epoch 1815 | loss: 0.0311101 | val_loss: 0.0311521 | Time: 1772.62 ms [2022-03-16 09:28:34 main:574] : INFO : Epoch 1816 | loss: 0.0311204 | val_loss: 0.0311616 | Time: 1782.41 ms [2022-03-16 09:28:36 main:574] : INFO : Epoch 1817 | loss: 0.0311225 | val_loss: 0.0311572 | Time: 1873.19 ms [2022-03-16 09:28:37 main:574] : INFO : Epoch 1818 | loss: 0.0311181 | val_loss: 0.0311591 | Time: 1785.01 ms [2022-03-16 09:28:39 main:574] : INFO : Epoch 1819 | loss: 0.0311168 | val_loss: 0.0311538 | Time: 1787.99 ms [2022-03-16 09:28:51 main:574] : INFO : Epoch 1820 | loss: 0.0311127 | val_loss: 0.0311547 | Time: 11958.4 ms [2022-03-16 09:28:53 main:574] : INFO : Epoch 1821 | loss: 0.031113 | val_loss: 0.0311649 | Time: 1885.3 ms [2022-03-16 09:28:55 main:574] : INFO : Epoch 1822 | loss: 0.0311103 | val_loss: 0.0311645 | Time: 1794.94 ms [2022-03-16 09:28:57 main:574] : INFO : Epoch 1823 | loss: 0.0311134 | val_loss: 0.0311539 | Time: 1783.02 ms [2022-03-16 09:28:58 main:574] : INFO : Epoch 1824 | loss: 0.03112 | val_loss: 0.0311773 | Time: 1785.19 ms [2022-03-16 09:29:10 main:574] : INFO : Epoch 1825 | loss: 0.0311159 | val_loss: 0.0311585 | Time: 11816 ms [2022-03-16 09:29:12 main:574] : INFO : Epoch 1826 | loss: 0.0311161 | val_loss: 0.0311539 | Time: 1777.86 ms [2022-03-16 09:29:14 main:574] : INFO : Epoch 1827 | loss: 0.0311186 | val_loss: 0.0311586 | Time: 1780.7 ms [2022-03-16 09:29:16 main:574] : INFO : Epoch 1828 | loss: 0.0311118 | val_loss: 0.0311612 | Time: 1782.53 ms [2022-03-16 09:29:17 main:574] : INFO : Epoch 1829 | loss: 0.0311137 | val_loss: 0.031161 | Time: 1784.48 ms [2022-03-16 09:29:19 main:574] : INFO : Epoch 1830 | loss: 0.0311204 | val_loss: 0.031169 | Time: 1772.8 ms [2022-03-16 09:29:21 main:574] : INFO : Epoch 1831 | loss: 0.0311228 | val_loss: 0.0311541 | Time: 1782.58 ms [2022-03-16 09:29:23 main:574] : INFO : Epoch 1832 | loss: 0.0311113 | val_loss: 0.0311528 | Time: 1779.1 ms [2022-03-16 09:29:24 main:574] : INFO : Epoch 1833 | loss: 0.0311101 | val_loss: 0.0311554 | Time: 1780.22 ms [2022-03-16 09:29:26 main:574] : INFO : Epoch 1834 | loss: 0.0311096 | val_loss: 0.0311649 | Time: 1859.38 ms [2022-03-16 09:29:28 main:574] : INFO : Epoch 1835 | loss: 0.0311052 | val_loss: 0.0311547 | Time: 1780.52 ms [2022-03-16 09:29:30 main:574] : INFO : Epoch 1836 | loss: 0.0311121 | val_loss: 0.0311527 | Time: 1788.18 ms [2022-03-16 09:29:42 main:574] : INFO : Epoch 1837 | loss: 0.0311343 | val_loss: 0.0311543 | Time: 11876.9 ms [2022-03-16 09:29:44 main:574] : INFO : Epoch 1838 | loss: 0.0311295 | val_loss: 0.0311549 | Time: 1868.56 ms [2022-03-16 09:29:45 main:574] : INFO : Epoch 1839 | loss: 0.0311208 | val_loss: 0.0311606 | Time: 1795.62 ms [2022-03-16 09:29:47 main:574] : INFO : Epoch 1840 | loss: 0.0311166 | val_loss: 0.0311516 | Time: 1802.48 ms [2022-03-16 09:29:49 main:574] : INFO : Epoch 1841 | loss: 0.0311136 | val_loss: 0.0311593 | Time: 1784.35 ms [2022-03-16 09:30:01 main:574] : INFO : Epoch 1842 | loss: 0.031114 | val_loss: 0.0311603 | Time: 11895.1 ms [2022-03-16 09:30:03 main:574] : INFO : Epoch 1843 | loss: 0.0311095 | val_loss: 0.031153 | Time: 1802.28 ms [2022-03-16 09:30:05 main:574] : INFO : Epoch 1844 | loss: 0.0311064 | val_loss: 0.0311582 | Time: 1793.66 ms [2022-03-16 09:30:06 main:574] : INFO : Epoch 1845 | loss: 0.0311087 | val_loss: 0.0311557 | Time: 1784.99 ms [2022-03-16 09:30:08 main:574] : INFO : Epoch 1846 | loss: 0.0311102 | val_loss: 0.0311545 | Time: 1788.53 ms [2022-03-16 09:30:10 main:574] : INFO : Epoch 1847 | loss: 0.0311066 | val_loss: 0.0311537 | Time: 1785.62 ms Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: NVIDIA GeForce GTX 1050 Ti) [2022-03-16 09:39:27 main:435] : INFO : Set logging level to 1 [2022-03-16 09:39:27 main:441] : INFO : Running in BOINC Client mode [2022-03-16 09:39:27 main:444] : INFO : Resolving all filenames [2022-03-16 09:39:27 main:452] : INFO : Resolved: dataset.hdf5 => dataset.hdf5 (exists = 1) [2022-03-16 09:39:27 main:452] : INFO : Resolved: model.cfg => model.cfg (exists = 1) [2022-03-16 09:39:27 main:452] : INFO : Resolved: model-final.pt => model-final.pt (exists = 0) [2022-03-16 09:39:27 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 1) [2022-03-16 09:39:27 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1) [2022-03-16 09:39:27 main:472] : INFO : Dataset filename: dataset.hdf5 [2022-03-16 09:39:27 main:474] : INFO : Configuration: [2022-03-16 09:39:27 main:475] : INFO : Model type: GRU [2022-03-16 09:39:27 main:476] : INFO : Validation Loss Threshold: 0.0001 [2022-03-16 09:39:27 main:477] : INFO : Max Epochs: 2048 [2022-03-16 09:39:27 main:478] : INFO : Batch Size: 128 [2022-03-16 09:39:27 main:479] : INFO : Learning Rate: 0.01 [2022-03-16 09:39:27 main:480] : INFO : Patience: 10 [2022-03-16 09:39:27 main:481] : INFO : Hidden Width: 12 [2022-03-16 09:39:27 main:482] : INFO : # Recurrent Layers: 4 [2022-03-16 09:39:27 main:483] : INFO : # Backend Layers: 4 [2022-03-16 09:39:27 main:484] : INFO : # Threads: 1 [2022-03-16 09:39:27 main:486] : INFO : Preparing Dataset [2022-03-16 09:39:27 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from dataset.hdf5 into memory [2022-03-16 09:39:27 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from dataset.hdf5 into memory [2022-03-16 09:39:28 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2022-03-16 09:39:28 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from dataset.hdf5 into memory [2022-03-16 09:39:28 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from dataset.hdf5 into memory [2022-03-16 09:39:28 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2022-03-16 09:39:28 main:494] : INFO : Creating Model [2022-03-16 09:39:28 main:507] : INFO : Preparing config file [2022-03-16 09:39:28 main:511] : INFO : Found checkpoint, attempting to load... [2022-03-16 09:39:28 main:512] : INFO : Loading config [2022-03-16 09:39:28 main:514] : INFO : Loading state [2022-03-16 09:39:29 main:559] : INFO : Loading DataLoader into Memory [2022-03-16 09:39:29 main:562] : INFO : Starting Training [2022-03-16 09:39:31 main:574] : INFO : Epoch 1826 | loss: 0.0312985 | val_loss: 0.0312059 | Time: 1848.56 ms [2022-03-16 09:39:32 main:574] : INFO : Epoch 1827 | loss: 0.0311548 | val_loss: 0.0311548 | Time: 1630.64 ms [2022-03-16 09:39:34 main:574] : INFO : Epoch 1828 | loss: 0.0311241 | val_loss: 0.0311577 | Time: 1625.54 ms [2022-03-16 09:39:36 main:574] : INFO : Epoch 1829 | loss: 0.0311159 | val_loss: 0.0311571 | Time: 1633.02 ms [2022-03-16 09:39:37 main:574] : INFO : Epoch 1830 | loss: 0.031121 | val_loss: 0.0311603 | Time: 1628.04 ms [2022-03-16 09:39:39 main:574] : INFO : Epoch 1831 | loss: 0.0311151 | val_loss: 0.0311536 | Time: 1633.08 ms [2022-03-16 09:39:41 main:574] : INFO : Epoch 1832 | loss: 0.0311138 | val_loss: 0.0311531 | Time: 1638.75 ms [2022-03-16 09:39:42 main:574] : INFO : Epoch 1833 | loss: 0.0311109 | val_loss: 0.0311499 | Time: 1635.03 ms [2022-03-16 09:39:44 main:574] : INFO : Epoch 1834 | loss: 0.03111 | val_loss: 0.0311576 | Time: 1635.29 ms [2022-03-16 09:39:45 main:574] : INFO : Epoch 1835 | loss: 0.0311067 | val_loss: 0.0311521 | Time: 1640.04 ms [2022-03-16 09:39:47 main:574] : INFO : Epoch 1836 | loss: 0.0311135 | val_loss: 0.0311529 | Time: 1642.28 ms [2022-03-16 09:39:49 main:574] : INFO : Epoch 1837 | loss: 0.0311097 | val_loss: 0.0311489 | Time: 1644.55 ms [2022-03-16 09:39:50 main:574] : INFO : Epoch 1838 | loss: 0.0311058 | val_loss: 0.031157 | Time: 1637.96 ms [2022-03-16 09:39:52 main:574] : INFO : Epoch 1839 | loss: 0.031112 | val_loss: 0.03116 | Time: 1669.11 ms [2022-03-16 09:39:54 main:574] : INFO : Epoch 1840 | loss: 0.0311087 | val_loss: 0.0311583 | Time: 1643.8 ms [2022-03-16 09:39:55 main:574] : INFO : Epoch 1841 | loss: 0.0311073 | val_loss: 0.0311547 | Time: 1644.02 ms [2022-03-16 09:39:57 main:574] : INFO : Epoch 1842 | loss: 0.0311075 | val_loss: 0.0311551 | Time: 1643.5 ms [2022-03-16 09:39:59 main:574] : INFO : Epoch 1843 | loss: 0.0311069 | val_loss: 0.0311605 | Time: 1645.81 ms [2022-03-16 09:40:00 main:574] : INFO : Epoch 1844 | loss: 0.0311034 | val_loss: 0.0311584 | Time: 1642.35 ms [2022-03-16 09:40:02 main:574] : INFO : Epoch 1845 | loss: 0.0311035 | val_loss: 0.0311576 | Time: 1639.12 ms [2022-03-16 09:40:04 main:574] : INFO : Epoch 1846 | loss: 0.0311064 | val_loss: 0.0311547 | Time: 1640.59 ms [2022-03-16 09:40:05 main:574] : INFO : Epoch 1847 | loss: 0.0311122 | val_loss: 0.0311616 | Time: 1648.95 ms [2022-03-16 09:40:07 main:574] : INFO : Epoch 1848 | loss: 0.031106 | val_loss: 0.0311554 | Time: 1640.38 ms [2022-03-16 09:40:09 main:574] : INFO : Epoch 1849 | loss: 0.0311025 | val_loss: 0.0311628 | Time: 1642.26 ms [2022-03-16 09:40:10 main:574] : INFO : Epoch 1850 | loss: 0.0311018 | val_loss: 0.031157 | Time: 1645.33 ms [2022-03-16 09:40:12 main:574] : INFO : Epoch 1851 | loss: 0.031103 | val_loss: 0.0311573 | Time: 1640.41 ms [2022-03-16 09:40:13 main:574] : INFO : Epoch 1852 | loss: 0.0311453 | val_loss: 0.0311589 | Time: 1645.53 ms [2022-03-16 09:40:15 main:574] : INFO : Epoch 1853 | loss: 0.0311469 | val_loss: 0.0311552 | Time: 1643.48 ms [2022-03-16 09:40:17 main:574] : INFO : Epoch 1854 | loss: 0.0311423 | val_loss: 0.031153 | Time: 1648.73 ms [2022-03-16 09:40:18 main:574] : INFO : Epoch 1855 | loss: 0.0311386 | val_loss: 0.0311536 | Time: 1640.56 ms [2022-03-16 09:40:20 main:574] : INFO : Epoch 1856 | loss: 0.0311359 | val_loss: 0.0311545 | Time: 1649.6 ms [2022-03-16 09:40:22 main:574] : INFO : Epoch 1857 | loss: 0.0311322 | val_loss: 0.0311628 | Time: 1664.93 ms [2022-03-16 09:40:23 main:574] : INFO : Epoch 1858 | loss: 0.0311272 | val_loss: 0.0311537 | Time: 1644.43 ms [2022-03-16 09:40:25 main:574] : INFO : Epoch 1859 | loss: 0.0311238 | val_loss: 0.0311658 | Time: 1644.24 ms [2022-03-16 09:40:27 main:574] : INFO : Epoch 1860 | loss: 0.0311216 | val_loss: 0.0311589 | Time: 1678.1 ms [2022-03-16 09:40:28 main:574] : INFO : Epoch 1861 | loss: 0.0311175 | val_loss: 0.0311542 | Time: 1659.74 ms [2022-03-16 09:40:30 main:574] : INFO : Epoch 1862 | loss: 0.0311157 | val_loss: 0.0311592 | Time: 1647.99 ms [2022-03-16 09:40:32 main:574] : INFO : Epoch 1863 | loss: 0.031117 | val_loss: 0.031164 | Time: 1639.23 ms [2022-03-16 09:40:33 main:574] : INFO : Epoch 1864 | loss: 0.0311166 | val_loss: 0.0311592 | Time: 1646.43 ms [2022-03-16 09:40:35 main:574] : INFO : Epoch 1865 | loss: 0.0311101 | val_loss: 0.0311603 | Time: 1638.31 ms [2022-03-16 09:40:37 main:574] : INFO : Epoch 1866 | loss: 0.0311128 | val_loss: 0.0311555 | Time: 1646.46 ms [2022-03-16 09:40:38 main:574] : INFO : Epoch 1867 | loss: 0.0311097 | val_loss: 0.0311585 | Time: 1645.75 ms [2022-03-16 09:40:40 main:574] : INFO : Epoch 1868 | loss: 0.03111 | val_loss: 0.031156 | Time: 1633.86 ms [2022-03-16 09:40:42 main:574] : INFO : Epoch 1869 | loss: 0.0311067 | val_loss: 0.0311661 | Time: 1649 ms [2022-03-16 09:40:43 main:574] : INFO : Epoch 1870 | loss: 0.0311093 | val_loss: 0.0311568 | Time: 1647.5 ms [2022-03-16 09:40:45 main:574] : INFO : Epoch 1871 | loss: 0.0311071 | val_loss: 0.0311537 | Time: 1649.19 ms [2022-03-16 09:40:46 main:574] : INFO : Epoch 1872 | loss: 0.0311078 | val_loss: 0.0311609 | Time: 1649.77 ms [2022-03-16 09:40:48 main:574] : INFO : Epoch 1873 | loss: 0.031107 | val_loss: 0.0311538 | Time: 1646.16 ms [2022-03-16 09:40:50 main:574] : INFO : Epoch 1874 | loss: 0.0311066 | val_loss: 0.0311626 | Time: 1678.66 ms [2022-03-16 09:40:51 main:574] : INFO : Epoch 1875 | loss: 0.0311077 | val_loss: 0.0311602 | Time: 1652.29 ms [2022-03-16 09:40:53 main:574] : INFO : Epoch 1876 | loss: 0.0311126 | val_loss: 0.0311593 | Time: 1646.32 ms [2022-03-16 09:40:55 main:574] : INFO : Epoch 1877 | loss: 0.0311112 | val_loss: 0.0311608 | Time: 1647.79 ms [2022-03-16 09:40:56 main:574] : INFO : Epoch 1878 | loss: 0.0311075 | val_loss: 0.0311622 | Time: 1653.23 ms [2022-03-16 09:40:58 main:574] : INFO : Epoch 1879 | loss: 0.031104 | val_loss: 0.0311527 | Time: 1647.93 ms [2022-03-16 09:41:00 main:574] : INFO : Epoch 1880 | loss: 0.0311053 | val_loss: 0.0311583 | Time: 1641.5 ms [2022-03-16 09:41:01 main:574] : INFO : Epoch 1881 | loss: 0.0311079 | val_loss: 0.0311568 | Time: 1642.11 ms [2022-03-16 09:41:03 main:574] : INFO : Epoch 1882 | loss: 0.0311067 | val_loss: 0.0311627 | Time: 1651.97 ms [2022-03-16 09:41:05 main:574] : INFO : Epoch 1883 | loss: 0.0311035 | val_loss: 0.0311611 | Time: 1651.58 ms [2022-03-16 09:41:06 main:574] : INFO : Epoch 1884 | loss: 0.0311052 | val_loss: 0.0311557 | Time: 1646.1 ms [2022-03-16 09:41:08 main:574] : INFO : Epoch 1885 | loss: 0.0311114 | val_loss: 0.03116 | Time: 1644.17 ms [2022-03-16 09:41:10 main:574] : INFO : Epoch 1886 | loss: 0.0311126 | val_loss: 0.031159 | Time: 1647.06 ms [2022-03-16 09:41:11 main:574] : INFO : Epoch 1887 | loss: 0.0311121 | val_loss: 0.0311519 | Time: 1646.19 ms [2022-03-16 09:41:13 main:574] : INFO : Epoch 1888 | loss: 0.0311058 | val_loss: 0.031155 | Time: 1645.89 ms [2022-03-16 09:41:15 main:574] : INFO : Epoch 1889 | loss: 0.0311054 | val_loss: 0.0311594 | Time: 1655.4 ms [2022-03-16 09:41:16 main:574] : INFO : Epoch 1890 | loss: 0.0311056 | val_loss: 0.0311586 | Time: 1650.29 ms [2022-03-16 09:41:18 main:574] : INFO : Epoch 1891 | loss: 0.0311047 | val_loss: 0.0311586 | Time: 1649.19 ms [2022-03-16 09:41:20 main:574] : INFO : Epoch 1892 | loss: 0.0311043 | val_loss: 0.0311596 | Time: 1672.23 ms [2022-03-16 09:41:21 main:574] : INFO : Epoch 1893 | loss: 0.0311014 | val_loss: 0.0311589 | Time: 1653.81 ms [2022-03-16 09:41:23 main:574] : INFO : Epoch 1894 | loss: 0.0311217 | val_loss: 0.031161 | Time: 1646.39 ms [2022-03-16 09:41:25 main:574] : INFO : Epoch 1895 | loss: 0.0311253 | val_loss: 0.0311516 | Time: 1655.54 ms [2022-03-16 09:41:26 main:574] : INFO : Epoch 1896 | loss: 0.0311146 | val_loss: 0.0311581 | Time: 1647.05 ms [2022-03-16 09:41:28 main:574] : INFO : Epoch 1897 | loss: 0.0311131 | val_loss: 0.0311551 | Time: 1654.89 ms [2022-03-16 09:41:29 main:574] : INFO : Epoch 1898 | loss: 0.0311067 | val_loss: 0.0311589 | Time: 1663.91 ms [2022-03-16 09:41:31 main:574] : INFO : Epoch 1899 | loss: 0.0311065 | val_loss: 0.0311619 | Time: 1649.82 ms [2022-03-16 09:41:33 main:574] : INFO : Epoch 1900 | loss: 0.0311065 | val_loss: 0.0311574 | Time: 1652.75 ms [2022-03-16 09:41:34 main:574] : INFO : Epoch 1901 | loss: 0.0311022 | val_loss: 0.0311607 | Time: 1645.97 ms [2022-03-16 09:41:36 main:574] : INFO : Epoch 1902 | loss: 0.0311005 | val_loss: 0.0311585 | Time: 1651.52 ms [2022-03-16 09:41:38 main:574] : INFO : Epoch 1903 | loss: 0.0311046 | val_loss: 0.031156 | Time: 1648.07 ms [2022-03-16 09:41:39 main:574] : INFO : Epoch 1904 | loss: 0.0310996 | val_loss: 0.0311645 | Time: 1655.79 ms [2022-03-16 09:41:41 main:574] : INFO : Epoch 1905 | loss: 0.0311001 | val_loss: 0.0311626 | Time: 1639.7 ms [2022-03-16 09:41:43 main:574] : INFO : Epoch 1906 | loss: 0.0311 | val_loss: 0.0311576 | Time: 1655.42 ms [2022-03-16 09:41:44 main:574] : INFO : Epoch 1907 | loss: 0.0311021 | val_loss: 0.031157 | Time: 1650.72 ms [2022-03-16 09:41:46 main:574] : INFO : Epoch 1908 | loss: 0.0311015 | val_loss: 0.0311606 | Time: 1647.6 ms [2022-03-16 09:41:48 main:574] : INFO : Epoch 1909 | loss: 0.0310982 | val_loss: 0.0311613 | Time: 1675.84 ms [2022-03-16 09:41:49 main:574] : INFO : Epoch 1910 | loss: 0.0311018 | val_loss: 0.0311596 | Time: 1650.24 ms [2022-03-16 09:41:51 main:574] : INFO : Epoch 1911 | loss: 0.0311025 | val_loss: 0.0311656 | Time: 1659.42 ms [2022-03-16 09:41:53 main:574] : INFO : Epoch 1912 | loss: 0.0310984 | val_loss: 0.031167 | Time: 1659.39 ms [2022-03-16 09:41:54 main:574] : INFO : Epoch 1913 | loss: 0.0310988 | val_loss: 0.0311681 | Time: 1647.02 ms [2022-03-16 09:41:56 main:574] : INFO : Epoch 1914 | loss: 0.0311008 | val_loss: 0.0311676 | Time: 1646.01 ms [2022-03-16 09:41:58 main:574] : INFO : Epoch 1915 | loss: 0.0311113 | val_loss: 0.0311627 | Time: 1647.6 ms [2022-03-16 09:41:59 main:574] : INFO : Epoch 1916 | loss: 0.0311076 | val_loss: 0.031166 | Time: 1656.96 ms [2022-03-16 09:42:01 main:574] : INFO : Epoch 1917 | loss: 0.0311069 | val_loss: 0.0311647 | Time: 1654.6 ms [2022-03-16 09:42:03 main:574] : INFO : Epoch 1918 | loss: 0.0311057 | val_loss: 0.0311662 | Time: 1645.57 ms [2022-03-16 09:42:04 main:574] : INFO : Epoch 1919 | loss: 0.0310982 | val_loss: 0.0311777 | Time: 1645.85 ms [2022-03-16 09:42:06 main:574] : INFO : Epoch 1920 | loss: 0.0311009 | val_loss: 0.031171 | Time: 1655.19 ms [2022-03-16 09:42:08 main:574] : INFO : Epoch 1921 | loss: 0.0311005 | val_loss: 0.0311646 | Time: 1646.73 ms [2022-03-16 09:42:09 main:574] : INFO : Epoch 1922 | loss: 0.0311004 | val_loss: 0.0311666 | Time: 1656.4 ms [2022-03-16 09:42:11 main:574] : INFO : Epoch 1923 | loss: 0.0311 | val_loss: 0.0311628 | Time: 1656.89 ms [2022-03-16 09:42:12 main:574] : INFO : Epoch 1924 | loss: 0.0310992 | val_loss: 0.0311647 | Time: 1653.75 ms [2022-03-16 09:42:14 main:574] : INFO : Epoch 1925 | loss: 0.0310977 | val_loss: 0.0311668 | Time: 1649.85 ms [2022-03-16 09:42:16 main:574] : INFO : Epoch 1926 | loss: 0.0310987 | val_loss: 0.0311714 | Time: 1667.64 ms [2022-03-16 09:42:17 main:574] : INFO : Epoch 1927 | loss: 0.0310959 | val_loss: 0.0311767 | Time: 1665.64 ms [2022-03-16 09:42:19 main:574] : INFO : Epoch 1928 | loss: 0.0310994 | val_loss: 0.031165 | Time: 1648.82 ms [2022-03-16 09:42:21 main:574] : INFO : Epoch 1929 | loss: 0.0310962 | val_loss: 0.0311668 | Time: 1651.92 ms [2022-03-16 09:42:22 main:574] : INFO : Epoch 1930 | loss: 0.031099 | val_loss: 0.0311706 | Time: 1647.42 ms [2022-03-16 09:42:24 main:574] : INFO : Epoch 1931 | loss: 0.031102 | val_loss: 0.0311623 | Time: 1652.76 ms [2022-03-16 09:42:26 main:574] : INFO : Epoch 1932 | loss: 0.0310959 | val_loss: 0.0311688 | Time: 1651.36 ms [2022-03-16 09:42:27 main:574] : INFO : Epoch 1933 | loss: 0.0310976 | val_loss: 0.0311713 | Time: 1650.35 ms [2022-03-16 09:42:29 main:574] : INFO : Epoch 1934 | loss: 0.0310971 | val_loss: 0.031168 | Time: 1643.82 ms [2022-03-16 09:42:31 main:574] : INFO : Epoch 1935 | loss: 0.0310946 | val_loss: 0.0311674 | Time: 1647.05 ms [2022-03-16 09:42:32 main:574] : INFO : Epoch 1936 | loss: 0.031095 | val_loss: 0.0311804 | Time: 1652.38 ms [2022-03-16 09:42:34 main:574] : INFO : Epoch 1937 | loss: 0.0311004 | val_loss: 0.031175 | Time: 1649.32 ms [2022-03-16 09:42:36 main:574] : INFO : Epoch 1938 | loss: 0.0311 | val_loss: 0.0311743 | Time: 1656.96 ms [2022-03-16 09:42:37 main:574] : INFO : Epoch 1939 | loss: 0.0310985 | val_loss: 0.0311604 | Time: 1649.75 ms [2022-03-16 09:42:39 main:574] : INFO : Epoch 1940 | loss: 0.0310971 | val_loss: 0.031165 | Time: 1642.13 ms [2022-03-16 09:42:41 main:574] : INFO : Epoch 1941 | loss: 0.0310954 | val_loss: 0.0311679 | Time: 1651.67 ms [2022-03-16 09:42:42 main:574] : INFO : Epoch 1942 | loss: 0.0310969 | val_loss: 0.0311676 | Time: 1652.01 ms [2022-03-16 09:42:44 main:574] : INFO : Epoch 1943 | loss: 0.0310914 | val_loss: 0.0311703 | Time: 1646.01 ms [2022-03-16 09:42:46 main:574] : INFO : Epoch 1944 | loss: 0.0310957 | val_loss: 0.0311795 | Time: 1672.74 ms [2022-03-16 09:42:47 main:574] : INFO : Epoch 1945 | loss: 0.0310987 | val_loss: 0.0311695 | Time: 1644.79 ms [2022-03-16 09:42:49 main:574] : INFO : Epoch 1946 | loss: 0.0310959 | val_loss: 0.0311657 | Time: 1656.43 ms [2022-03-16 09:42:51 main:574] : INFO : Epoch 1947 | loss: 0.0310962 | val_loss: 0.0311646 | Time: 1652.57 ms [2022-03-16 09:42:52 main:574] : INFO : Epoch 1948 | loss: 0.0310984 | val_loss: 0.0311786 | Time: 1650.16 ms [2022-03-16 09:42:54 main:574] : INFO : Epoch 1949 | loss: 0.0310967 | val_loss: 0.0311643 | Time: 1654.9 ms [2022-03-16 09:42:55 main:574] : INFO : Epoch 1950 | loss: 0.0310988 | val_loss: 0.0311739 | Time: 1651.65 ms [2022-03-16 09:42:57 main:574] : INFO : Epoch 1951 | loss: 0.0310974 | val_loss: 0.0311726 | Time: 1658.38 ms [2022-03-16 09:42:59 main:574] : INFO : Epoch 1952 | loss: 0.0310985 | val_loss: 0.0311673 | Time: 1658.52 ms [2022-03-16 09:43:00 main:574] : INFO : Epoch 1953 | loss: 0.0310985 | val_loss: 0.0311658 | Time: 1656.95 ms [2022-03-16 09:43:02 main:574] : INFO : Epoch 1954 | loss: 0.0310983 | val_loss: 0.031164 | Time: 1651.59 ms [2022-03-16 09:43:04 main:574] : INFO : Epoch 1955 | loss: 0.0310956 | val_loss: 0.0311719 | Time: 1651.33 ms [2022-03-16 09:43:05 main:574] : INFO : Epoch 1956 | loss: 0.0310926 | val_loss: 0.0311734 | Time: 1659.66 ms [2022-03-16 09:43:07 main:574] : INFO : Epoch 1957 | loss: 0.0310951 | val_loss: 0.0311742 | Time: 1648.57 ms [2022-03-16 09:43:09 main:574] : INFO : Epoch 1958 | loss: 0.0310954 | val_loss: 0.0311811 | Time: 1652.41 ms [2022-03-16 09:43:10 main:574] : INFO : Epoch 1959 | loss: 0.0310912 | val_loss: 0.0311762 | Time: 1652.97 ms [2022-03-16 09:43:12 main:574] : INFO : Epoch 1960 | loss: 0.0310969 | val_loss: 0.0311715 | Time: 1652.46 ms [2022-03-16 09:43:14 main:574] : INFO : Epoch 1961 | loss: 0.031102 | val_loss: 0.0311648 | Time: 1663.04 ms [2022-03-16 09:43:15 main:574] : INFO : Epoch 1962 | loss: 0.031097 | val_loss: 0.0311587 | Time: 1670.86 ms [2022-03-16 09:43:17 main:574] : INFO : Epoch 1963 | loss: 0.031095 | val_loss: 0.0311656 | Time: 1655.06 ms [2022-03-16 09:43:19 main:574] : INFO : Epoch 1964 | loss: 0.0311005 | val_loss: 0.0311678 | Time: 1645.81 ms [2022-03-16 09:43:20 main:574] : INFO : Epoch 1965 | loss: 0.0311061 | val_loss: 0.031167 | Time: 1652.7 ms [2022-03-16 09:43:22 main:574] : INFO : Epoch 1966 | loss: 0.0310979 | val_loss: 0.0311625 | Time: 1649.78 ms [2022-03-16 09:43:24 main:574] : INFO : Epoch 1967 | loss: 0.0310948 | val_loss: 0.0311645 | Time: 1654.55 ms [2022-03-16 09:43:25 main:574] : INFO : Epoch 1968 | loss: 0.0310976 | val_loss: 0.0311618 | Time: 1651.37 ms [2022-03-16 09:43:27 main:574] : INFO : Epoch 1969 | loss: 0.0311019 | val_loss: 0.0311625 | Time: 1650.35 ms [2022-03-16 09:43:29 main:574] : INFO : Epoch 1970 | loss: 0.0310968 | val_loss: 0.0311617 | Time: 1651.22 ms [2022-03-16 09:43:30 main:574] : INFO : Epoch 1971 | loss: 0.0310985 | val_loss: 0.031163 | Time: 1657.2 ms [2022-03-16 09:43:32 main:574] : INFO : Epoch 1972 | loss: 0.0310957 | val_loss: 0.0311691 | Time: 1649.02 ms [2022-03-16 09:43:34 main:574] : INFO : Epoch 1973 | loss: 0.0310956 | val_loss: 0.0311659 | Time: 1649.2 ms [2022-03-16 09:43:35 main:574] : INFO : Epoch 1974 | loss: 0.0310932 | val_loss: 0.0311639 | Time: 1650.37 ms [2022-03-16 09:43:37 main:574] : INFO : Epoch 1975 | loss: 0.0310971 | val_loss: 0.0311736 | Time: 1648.4 ms [2022-03-16 09:43:39 main:574] : INFO : Epoch 1976 | loss: 0.0310988 | val_loss: 0.031175 | Time: 1656.36 ms [2022-03-16 09:43:40 main:574] : INFO : Epoch 1977 | loss: 0.0311192 | val_loss: 0.0311683 | Time: 1651.29 ms [2022-03-16 09:43:42 main:574] : INFO : Epoch 1978 | loss: 0.0311255 | val_loss: 0.0311577 | Time: 1656.49 ms [2022-03-16 09:43:44 main:574] : INFO : Epoch 1979 | loss: 0.0311114 | val_loss: 0.0311585 | Time: 1671.02 ms [2022-03-16 09:43:45 main:574] : INFO : Epoch 1980 | loss: 0.0311044 | val_loss: 0.0311638 | Time: 1647.23 ms [2022-03-16 09:43:47 main:574] : INFO : Epoch 1981 | loss: 0.0311009 | val_loss: 0.0311583 | Time: 1649.45 ms [2022-03-16 09:43:48 main:574] : INFO : Epoch 1982 | loss: 0.0311053 | val_loss: 0.0311658 | Time: 1644.42 ms [2022-03-16 09:43:50 main:574] : INFO : Epoch 1983 | loss: 0.0311026 | val_loss: 0.0311601 | Time: 1651.95 ms [2022-03-16 09:43:52 main:574] : INFO : Epoch 1984 | loss: 0.0311018 | val_loss: 0.0311613 | Time: 1649.69 ms [2022-03-16 09:43:53 main:574] : INFO : Epoch 1985 | loss: 0.0310987 | val_loss: 0.0311666 | Time: 1646.56 ms [2022-03-16 09:43:55 main:574] : INFO : Epoch 1986 | loss: 0.0310965 | val_loss: 0.0311692 | Time: 1651.36 ms [2022-03-16 09:43:57 main:574] : INFO : Epoch 1987 | loss: 0.0310958 | val_loss: 0.0311717 | Time: 1652.93 ms [2022-03-16 09:43:58 main:574] : INFO : Epoch 1988 | loss: 0.0310955 | val_loss: 0.0311662 | Time: 1645.43 ms [2022-03-16 09:44:00 main:574] : INFO : Epoch 1989 | loss: 0.0310902 | val_loss: 0.0311719 | Time: 1652.3 ms [2022-03-16 09:44:02 main:574] : INFO : Epoch 1990 | loss: 0.0310909 | val_loss: 0.0311714 | Time: 1652.66 ms [2022-03-16 09:44:03 main:574] : INFO : Epoch 1991 | loss: 0.0310938 | val_loss: 0.0311692 | Time: 1648.51 ms [2022-03-16 09:44:05 main:574] : INFO : Epoch 1992 | loss: 0.0310934 | val_loss: 0.031181 | Time: 1649.55 ms [2022-03-16 09:44:07 main:574] : INFO : Epoch 1993 | loss: 0.0310953 | val_loss: 0.0311659 | Time: 1649.96 ms [2022-03-16 09:44:08 main:574] : INFO : Epoch 1994 | loss: 0.0310944 | val_loss: 0.0311822 | Time: 1646.71 ms [2022-03-16 09:44:10 main:574] : INFO : Epoch 1995 | loss: 0.0310924 | val_loss: 0.0311704 | Time: 1648.03 ms [2022-03-16 09:44:12 main:574] : INFO : Epoch 1996 | loss: 0.0310956 | val_loss: 0.031169 | Time: 1651.68 ms [2022-03-16 09:44:13 main:574] : INFO : Epoch 1997 | loss: 0.0310919 | val_loss: 0.0311723 | Time: 1663.76 ms Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: NVIDIA GeForce GTX 1050 Ti) [2022-03-16 10:10:14 main:435] : INFO : Set logging level to 1 [2022-03-16 10:10:14 main:441] : INFO : Running in BOINC Client mode [2022-03-16 10:10:14 main:444] : INFO : Resolving all filenames [2022-03-16 10:10:14 main:452] : INFO : Resolved: dataset.hdf5 => dataset.hdf5 (exists = 1) [2022-03-16 10:10:14 main:452] : INFO : Resolved: model.cfg => model.cfg (exists = 1) [2022-03-16 10:10:14 main:452] : INFO : Resolved: model-final.pt => model-final.pt (exists = 0) [2022-03-16 10:10:14 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 1) [2022-03-16 10:10:14 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1) [2022-03-16 10:10:14 main:472] : INFO : Dataset filename: dataset.hdf5 [2022-03-16 10:10:14 main:474] : INFO : Configuration: [2022-03-16 10:10:14 main:475] : INFO : Model type: GRU [2022-03-16 10:10:14 main:476] : INFO : Validation Loss Threshold: 0.0001 [2022-03-16 10:10:14 main:477] : INFO : Max Epochs: 2048 [2022-03-16 10:10:14 main:478] : INFO : Batch Size: 128 [2022-03-16 10:10:14 main:479] : INFO : Learning Rate: 0.01 [2022-03-16 10:10:14 main:480] : INFO : Patience: 10 [2022-03-16 10:10:14 main:481] : INFO : Hidden Width: 12 [2022-03-16 10:10:14 main:482] : INFO : # Recurrent Layers: 4 [2022-03-16 10:10:14 main:483] : INFO : # Backend Layers: 4 [2022-03-16 10:10:14 main:484] : INFO : # Threads: 1 [2022-03-16 10:10:14 main:486] : INFO : Preparing Dataset [2022-03-16 10:10:14 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from dataset.hdf5 into memory [2022-03-16 10:10:14 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from dataset.hdf5 into memory [2022-03-16 10:10:15 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2022-03-16 10:10:15 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from dataset.hdf5 into memory [2022-03-16 10:10:15 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from dataset.hdf5 into memory [2022-03-16 10:10:15 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2022-03-16 10:10:15 main:494] : INFO : Creating Model [2022-03-16 10:10:15 main:507] : INFO : Preparing config file [2022-03-16 10:10:15 main:511] : INFO : Found checkpoint, attempting to load... [2022-03-16 10:10:15 main:512] : INFO : Loading config [2022-03-16 10:10:15 main:514] : INFO : Loading state [2022-03-16 10:10:16 main:559] : INFO : Loading DataLoader into Memory [2022-03-16 10:10:16 main:562] : INFO : Starting Training [2022-03-16 10:10:18 main:574] : INFO : Epoch 1944 | loss: 0.0312297 | val_loss: 0.0311697 | Time: 1871.07 ms [2022-03-16 10:10:19 main:574] : INFO : Epoch 1945 | loss: 0.0311211 | val_loss: 0.0311721 | Time: 1633.75 ms [2022-03-16 10:10:21 main:574] : INFO : Epoch 1946 | loss: 0.0311025 | val_loss: 0.031172 | Time: 1630.77 ms [2022-03-16 10:10:23 main:574] : INFO : Epoch 1947 | loss: 0.0310966 | val_loss: 0.0311706 | Time: 1627.95 ms [2022-03-16 10:10:24 main:574] : INFO : Epoch 1948 | loss: 0.0310941 | val_loss: 0.0311652 | Time: 1631.45 ms [2022-03-16 10:10:26 main:574] : INFO : Epoch 1949 | loss: 0.0310983 | val_loss: 0.031164 | Time: 1637.15 ms [2022-03-16 10:10:28 main:574] : INFO : Epoch 1950 | loss: 0.0310939 | val_loss: 0.0311661 | Time: 1633.78 ms [2022-03-16 10:10:29 main:574] : INFO : Epoch 1951 | loss: 0.0310979 | val_loss: 0.0311654 | Time: 1724.26 ms [2022-03-16 10:10:31 main:574] : INFO : Epoch 1952 | loss: 0.0310965 | val_loss: 0.0311624 | Time: 1801.77 ms Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: NVIDIA GeForce GTX 1050 Ti) [2022-03-16 12:14:31 main:435] : INFO : Set logging level to 1 [2022-03-16 12:14:31 main:441] : INFO : Running in BOINC Client mode [2022-03-16 12:14:31 main:444] : INFO : Resolving all filenames [2022-03-16 12:14:31 main:452] : INFO : Resolved: dataset.hdf5 => dataset.hdf5 (exists = 1) [2022-03-16 12:14:31 main:452] : INFO : Resolved: model.cfg => model.cfg (exists = 1) [2022-03-16 12:14:31 main:452] : INFO : Resolved: model-final.pt => model-final.pt (exists = 0) [2022-03-16 12:14:31 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 1) [2022-03-16 12:14:31 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1) [2022-03-16 12:14:31 main:472] : INFO : Dataset filename: dataset.hdf5 [2022-03-16 12:14:31 main:474] : INFO : Configuration: [2022-03-16 12:14:31 main:475] : INFO : Model type: GRU [2022-03-16 12:14:31 main:476] : INFO : Validation Loss Threshold: 0.0001 [2022-03-16 12:14:31 main:477] : INFO : Max Epochs: 2048 [2022-03-16 12:14:31 main:478] : INFO : Batch Size: 128 [2022-03-16 12:14:31 main:479] : INFO : Learning Rate: 0.01 [2022-03-16 12:14:31 main:480] : INFO : Patience: 10 [2022-03-16 12:14:31 main:481] : INFO : Hidden Width: 12 [2022-03-16 12:14:31 main:482] : INFO : # Recurrent Layers: 4 [2022-03-16 12:14:31 main:483] : INFO : # Backend Layers: 4 [2022-03-16 12:14:31 main:484] : INFO : # Threads: 1 [2022-03-16 12:14:31 main:486] : INFO : Preparing Dataset [2022-03-16 12:14:31 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from dataset.hdf5 into memory [2022-03-16 12:14:31 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from dataset.hdf5 into memory [2022-03-16 12:14:32 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2022-03-16 12:14:32 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from dataset.hdf5 into memory [2022-03-16 12:14:32 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from dataset.hdf5 into memory [2022-03-16 12:14:32 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2022-03-16 12:14:32 main:494] : INFO : Creating Model [2022-03-16 12:14:32 main:507] : INFO : Preparing config file [2022-03-16 12:14:32 main:511] : INFO : Found checkpoint, attempting to load... [2022-03-16 12:14:32 main:512] : INFO : Loading config [2022-03-16 12:14:32 main:514] : INFO : Loading state [2022-03-16 12:14:33 main:559] : INFO : Loading DataLoader into Memory [2022-03-16 12:14:33 main:562] : INFO : Starting Training [2022-03-16 12:14:35 main:574] : INFO : Epoch 1944 | loss: 0.0311699 | val_loss: 0.0311644 | Time: 1873.62 ms [2022-03-16 12:14:36 main:574] : INFO : Epoch 1945 | loss: 0.0311111 | val_loss: 0.0311669 | Time: 1656.54 ms [2022-03-16 12:14:38 main:574] : INFO : Epoch 1946 | loss: 0.031099 | val_loss: 0.0311669 | Time: 1657.66 ms [2022-03-16 12:14:40 main:574] : INFO : Epoch 1947 | loss: 0.0310966 | val_loss: 0.0311654 | Time: 1654.01 ms [2022-03-16 12:14:41 main:574] : INFO : Epoch 1948 | loss: 0.0310969 | val_loss: 0.0311667 | Time: 1662.78 ms [2022-03-16 12:14:43 main:574] : INFO : Epoch 1949 | loss: 0.0310984 | val_loss: 0.0311672 | Time: 1660.29 ms [2022-03-16 12:14:45 main:574] : INFO : Epoch 1950 | loss: 0.0310947 | val_loss: 0.0311709 | Time: 1662.83 ms [2022-03-16 12:14:46 main:574] : INFO : Epoch 1951 | loss: 0.0310928 | val_loss: 0.0311662 | Time: 1668.72 ms [2022-03-16 12:14:48 main:574] : INFO : Epoch 1952 | loss: 0.0310948 | val_loss: 0.031168 | Time: 1677.73 ms [2022-03-16 12:14:50 main:574] : INFO : Epoch 1953 | loss: 0.0310958 | val_loss: 0.0311722 | Time: 1672.88 ms [2022-03-16 12:14:51 main:574] : INFO : Epoch 1954 | loss: 0.0310961 | val_loss: 0.0311706 | Time: 1672.48 ms [2022-03-16 12:14:53 main:574] : INFO : Epoch 1955 | loss: 0.0310933 | val_loss: 0.0311663 | Time: 1663.72 ms [2022-03-16 12:14:55 main:574] : INFO : Epoch 1956 | loss: 0.0310937 | val_loss: 0.0311696 | Time: 1672.27 ms [2022-03-16 12:14:56 main:574] : INFO : Epoch 1957 | loss: 0.0311007 | val_loss: 0.0311657 | Time: 1669.67 ms [2022-03-16 12:14:58 main:574] : INFO : Epoch 1958 | loss: 0.0311141 | val_loss: 0.0311582 | Time: 1667.34 ms [2022-03-16 12:15:00 main:574] : INFO : Epoch 1959 | loss: 0.0311048 | val_loss: 0.0311639 | Time: 1672.84 ms [2022-03-16 12:15:01 main:574] : INFO : Epoch 1960 | loss: 0.0310985 | val_loss: 0.0311665 | Time: 1671.14 ms [2022-03-16 12:15:03 main:574] : INFO : Epoch 1961 | loss: 0.0310963 | val_loss: 0.0311637 | Time: 1667.52 ms [2022-03-16 12:15:05 main:574] : INFO : Epoch 1962 | loss: 0.031098 | val_loss: 0.0311621 | Time: 1675.59 ms [2022-03-16 12:15:06 main:574] : INFO : Epoch 1963 | loss: 0.0310945 | val_loss: 0.031171 | Time: 1674.47 ms [2022-03-16 12:15:08 main:574] : INFO : Epoch 1964 | loss: 0.0310997 | val_loss: 0.0311642 | Time: 1676.95 ms [2022-03-16 12:15:10 main:574] : INFO : Epoch 1965 | loss: 0.0311063 | val_loss: 0.0311728 | Time: 1672.29 ms [2022-03-16 12:15:11 main:574] : INFO : Epoch 1966 | loss: 0.0311025 | val_loss: 0.031174 | Time: 1676.16 ms [2022-03-16 12:15:13 main:574] : INFO : Epoch 1967 | loss: 0.0311099 | val_loss: 0.0311673 | Time: 1675.34 ms [2022-03-16 12:15:15 main:574] : INFO : Epoch 1968 | loss: 0.0311104 | val_loss: 0.0311659 | Time: 1670.91 ms [2022-03-16 12:15:17 main:574] : INFO : Epoch 1969 | loss: 0.0311034 | val_loss: 0.0311648 | Time: 1685.35 ms [2022-03-16 12:15:18 main:574] : INFO : Epoch 1970 | loss: 0.0310977 | val_loss: 0.0311662 | Time: 1672.9 ms [2022-03-16 12:15:20 main:574] : INFO : Epoch 1971 | loss: 0.0310948 | val_loss: 0.0311654 | Time: 1673.48 ms [2022-03-16 12:15:22 main:574] : INFO : Epoch 1972 | loss: 0.0310955 | val_loss: 0.0311696 | Time: 1671.57 ms [2022-03-16 12:15:23 main:574] : INFO : Epoch 1973 | loss: 0.0310937 | val_loss: 0.0311777 | Time: 1674.38 ms [2022-03-16 12:15:25 main:574] : INFO : Epoch 1974 | loss: 0.0310931 | val_loss: 0.0311718 | Time: 1675.25 ms [2022-03-16 12:15:27 main:574] : INFO : Epoch 1975 | loss: 0.0310918 | val_loss: 0.0311825 | Time: 1672.96 ms [2022-03-16 12:15:28 main:574] : INFO : Epoch 1976 | loss: 0.0310918 | val_loss: 0.031177 | Time: 1671.72 ms [2022-03-16 12:15:30 main:574] : INFO : Epoch 1977 | loss: 0.0310891 | val_loss: 0.0311723 | Time: 1685.18 ms [2022-03-16 12:15:32 main:574] : INFO : Epoch 1978 | loss: 0.0310916 | val_loss: 0.0311664 | Time: 1716.81 ms [2022-03-16 12:15:33 main:574] : INFO : Epoch 1979 | loss: 0.0310971 | val_loss: 0.0311718 | Time: 1681.85 ms [2022-03-16 12:15:35 main:574] : INFO : Epoch 1980 | loss: 0.031094 | val_loss: 0.0311713 | Time: 1679.77 ms [2022-03-16 12:15:37 main:574] : INFO : Epoch 1981 | loss: 0.0310905 | val_loss: 0.031175 | Time: 1672.9 ms [2022-03-16 12:15:38 main:574] : INFO : Epoch 1982 | loss: 0.0310896 | val_loss: 0.0311673 | Time: 1674.48 ms [2022-03-16 12:15:40 main:574] : INFO : Epoch 1983 | loss: 0.0310915 | val_loss: 0.0311801 | Time: 1670.2 ms [2022-03-16 12:15:42 main:574] : INFO : Epoch 1984 | loss: 0.0310883 | val_loss: 0.0311773 | Time: 1670.51 ms [2022-03-16 12:15:43 main:574] : INFO : Epoch 1985 | loss: 0.0310916 | val_loss: 0.0311818 | Time: 1671.3 ms [2022-03-16 12:15:45 main:574] : INFO : Epoch 1986 | loss: 0.0310908 | val_loss: 0.0311728 | Time: 1670.53 ms [2022-03-16 12:15:47 main:574] : INFO : Epoch 1987 | loss: 0.0310999 | val_loss: 0.0311608 | Time: 1685.33 ms [2022-03-16 12:15:48 main:574] : INFO : Epoch 1988 | loss: 0.031118 | val_loss: 0.0311613 | Time: 1672.76 ms [2022-03-16 12:15:50 main:574] : INFO : Epoch 1989 | loss: 0.031105 | val_loss: 0.0311647 | Time: 1668.52 ms [2022-03-16 12:15:52 main:574] : INFO : Epoch 1990 | loss: 0.0310983 | val_loss: 0.0311649 | Time: 1676.18 ms [2022-03-16 12:15:53 main:574] : INFO : Epoch 1991 | loss: 0.0310997 | val_loss: 0.031163 | Time: 1677.04 ms [2022-03-16 12:15:55 main:574] : INFO : Epoch 1992 | loss: 0.0311012 | val_loss: 0.0311593 | Time: 1669.87 ms [2022-03-16 12:15:57 main:574] : INFO : Epoch 1993 | loss: 0.0311132 | val_loss: 0.0311596 | Time: 1671.19 ms [2022-03-16 12:15:59 main:574] : INFO : Epoch 1994 | loss: 0.031111 | val_loss: 0.0311677 | Time: 1683.29 ms [2022-03-16 12:16:00 main:574] : INFO : Epoch 1995 | loss: 0.031108 | val_loss: 0.0311724 | Time: 1681.13 ms [2022-03-16 12:16:02 main:574] : INFO : Epoch 1996 | loss: 0.0311031 | val_loss: 0.0311742 | Time: 1678.33 ms [2022-03-16 12:16:04 main:574] : INFO : Epoch 1997 | loss: 0.0310999 | val_loss: 0.0311733 | Time: 1684.4 ms [2022-03-16 12:16:05 main:574] : INFO : Epoch 1998 | loss: 0.031098 | val_loss: 0.0311671 | Time: 1671.31 ms [2022-03-16 12:16:07 main:574] : INFO : Epoch 1999 | loss: 0.0310972 | val_loss: 0.0311728 | Time: 1682.27 ms [2022-03-16 12:16:09 main:574] : INFO : Epoch 2000 | loss: 0.0310967 | val_loss: 0.0311736 | Time: 1676.14 ms [2022-03-16 12:16:10 main:574] : INFO : Epoch 2001 | loss: 0.0310987 | val_loss: 0.0311668 | Time: 1679.19 ms [2022-03-16 12:16:12 main:574] : INFO : Epoch 2002 | loss: 0.0310981 | val_loss: 0.0311668 | Time: 1706.76 ms [2022-03-16 12:16:14 main:574] : INFO : Epoch 2003 | loss: 0.0310958 | val_loss: 0.0311798 | Time: 1706.79 ms [2022-03-16 12:16:15 main:574] : INFO : Epoch 2004 | loss: 0.0310932 | val_loss: 0.0311692 | Time: 1681.76 ms [2022-03-16 12:16:17 main:574] : INFO : Epoch 2005 | loss: 0.0310923 | val_loss: 0.0311698 | Time: 1677.32 ms [2022-03-16 12:16:19 main:574] : INFO : Epoch 2006 | loss: 0.031092 | val_loss: 0.0311804 | Time: 1669.32 ms [2022-03-16 12:16:20 main:574] : INFO : Epoch 2007 | loss: 0.0310942 | val_loss: 0.0311812 | Time: 1670.53 ms [2022-03-16 12:16:22 main:574] : INFO : Epoch 2008 | loss: 0.0310933 | val_loss: 0.0311773 | Time: 1675.41 ms [2022-03-16 12:16:24 main:574] : INFO : Epoch 2009 | loss: 0.031091 | val_loss: 0.0311749 | Time: 1674.08 ms [2022-03-16 12:16:25 main:574] : INFO : Epoch 2010 | loss: 0.0310938 | val_loss: 0.0311709 | Time: 1680.15 ms [2022-03-16 12:16:27 main:574] : INFO : Epoch 2011 | loss: 0.0310952 | val_loss: 0.0311786 | Time: 1680.78 ms [2022-03-16 12:16:29 main:574] : INFO : Epoch 2012 | loss: 0.0310956 | val_loss: 0.0311685 | Time: 1674.72 ms [2022-03-16 12:16:31 main:574] : INFO : Epoch 2013 | loss: 0.0310922 | val_loss: 0.0311689 | Time: 1676.39 ms [2022-03-16 12:16:32 main:574] : INFO : Epoch 2014 | loss: 0.0310901 | val_loss: 0.0311667 | Time: 1681.63 ms [2022-03-16 12:16:34 main:574] : INFO : Epoch 2015 | loss: 0.0310911 | val_loss: 0.0311736 | Time: 1674.84 ms [2022-03-16 12:16:36 main:574] : INFO : Epoch 2016 | loss: 0.0310939 | val_loss: 0.0311686 | Time: 1672.9 ms [2022-03-16 12:16:37 main:574] : INFO : Epoch 2017 | loss: 0.0310936 | val_loss: 0.0311671 | Time: 1672.18 ms [2022-03-16 12:16:39 main:574] : INFO : Epoch 2018 | loss: 0.0310952 | val_loss: 0.0311676 | Time: 1678.41 ms [2022-03-16 12:16:41 main:574] : INFO : Epoch 2019 | loss: 0.0310951 | val_loss: 0.0311708 | Time: 1676.1 ms [2022-03-16 12:16:42 main:574] : INFO : Epoch 2020 | loss: 0.0310923 | val_loss: 0.0311689 | Time: 1670.2 ms [2022-03-16 12:16:44 main:574] : INFO : Epoch 2021 | loss: 0.031092 | val_loss: 0.0311649 | Time: 1692.08 ms [2022-03-16 12:16:46 main:574] : INFO : Epoch 2022 | loss: 0.0310945 | val_loss: 0.0311622 | Time: 1674.85 ms [2022-03-16 12:16:47 main:574] : INFO : Epoch 2023 | loss: 0.0310921 | val_loss: 0.031175 | Time: 1678.27 ms [2022-03-16 12:16:49 main:574] : INFO : Epoch 2024 | loss: 0.0310908 | val_loss: 0.0311765 | Time: 1683.42 ms [2022-03-16 12:16:51 main:574] : INFO : Epoch 2025 | loss: 0.0310904 | val_loss: 0.0311747 | Time: 1676.71 ms [2022-03-16 12:16:52 main:574] : INFO : Epoch 2026 | loss: 0.0310883 | val_loss: 0.0311727 | Time: 1675.21 ms [2022-03-16 12:16:54 main:574] : INFO : Epoch 2027 | loss: 0.0310902 | val_loss: 0.0311771 | Time: 1686.44 ms [2022-03-16 12:16:56 main:574] : INFO : Epoch 2028 | loss: 0.0310938 | val_loss: 0.0311737 | Time: 1681.34 ms [2022-03-16 12:16:57 main:574] : INFO : Epoch 2029 | loss: 0.031093 | val_loss: 0.0311789 | Time: 1691.39 ms [2022-03-16 12:16:59 main:574] : INFO : Epoch 2030 | loss: 0.0310904 | val_loss: 0.0311748 | Time: 1676.93 ms [2022-03-16 12:17:01 main:574] : INFO : Epoch 2031 | loss: 0.0310888 | val_loss: 0.031167 | Time: 1673.24 ms [2022-03-16 12:17:02 main:574] : INFO : Epoch 2032 | loss: 0.0310925 | val_loss: 0.0311718 | Time: 1691.22 ms [2022-03-16 12:17:04 main:574] : INFO : Epoch 2033 | loss: 0.0310959 | val_loss: 0.0311709 | Time: 1677.7 ms [2022-03-16 12:17:06 main:574] : INFO : Epoch 2034 | loss: 0.0310911 | val_loss: 0.0311679 | Time: 1679.95 ms [2022-03-16 12:17:07 main:574] : INFO : Epoch 2035 | loss: 0.0310898 | val_loss: 0.0311747 | Time: 1678.11 ms [2022-03-16 12:17:09 main:574] : INFO : Epoch 2036 | loss: 0.031089 | val_loss: 0.0311676 | Time: 1681.12 ms [2022-03-16 12:17:11 main:574] : INFO : Epoch 2037 | loss: 0.0310859 | val_loss: 0.0311763 | Time: 1681.72 ms [2022-03-16 12:17:13 main:574] : INFO : Epoch 2038 | loss: 0.0310893 | val_loss: 0.0311778 | Time: 1685.63 ms [2022-03-16 12:17:14 main:574] : INFO : Epoch 2039 | loss: 0.0310913 | val_loss: 0.03117 | Time: 1674.32 ms [2022-03-16 12:17:16 main:574] : INFO : Epoch 2040 | loss: 0.0310902 | val_loss: 0.0311704 | Time: 1686.8 ms [2022-03-16 12:17:18 main:574] : INFO : Epoch 2041 | loss: 0.0310927 | val_loss: 0.0311724 | Time: 1675.89 ms [2022-03-16 12:17:19 main:574] : INFO : Epoch 2042 | loss: 0.03109 | val_loss: 0.0311747 | Time: 1676.07 ms [2022-03-16 12:17:21 main:574] : INFO : Epoch 2043 | loss: 0.0310945 | val_loss: 0.0311769 | Time: 1679.27 ms [2022-03-16 12:17:23 main:574] : INFO : Epoch 2044 | loss: 0.0310914 | val_loss: 0.0311753 | Time: 1681.61 ms [2022-03-16 12:17:24 main:574] : INFO : Epoch 2045 | loss: 0.0310903 | val_loss: 0.0311757 | Time: 1676.31 ms [2022-03-16 12:17:26 main:574] : INFO : Epoch 2046 | loss: 0.0310901 | val_loss: 0.0311698 | Time: 1674.82 ms [2022-03-16 12:17:28 main:574] : INFO : Epoch 2047 | loss: 0.0310917 | val_loss: 0.0311773 | Time: 1679.62 ms [2022-03-16 12:17:29 main:574] : INFO : Epoch 2048 | loss: 0.0310972 | val_loss: 0.0311559 | Time: 1685 ms [2022-03-16 12:17:29 main:597] : INFO : Saving trained model to model-final.pt, val_loss 0.0311559 [2022-03-16 12:17:29 main:603] : INFO : Saving end state to config to file [2022-03-16 12:17:29 main:608] : INFO : Success, exiting.. 12:17:29 (8756): called boinc_finish(0) </stderr_txt> ]]>
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A project of the Cognition, Robotics, and Learning (CORAL) Lab at the University of Maryland, Baltimore County (UMBC)