Task 13723546
| Name | ParityModified-1647045547-15661-2-0_0 |
| Workunit | 10812584 |
| Created | 24 Mar 2022, 20:46:08 UTC |
| Sent | 30 Mar 2022, 20:23:37 UTC |
| Report deadline | 7 Apr 2022, 20:23:37 UTC |
| Received | 31 Mar 2022, 19:34:30 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 19134 |
| Run time | 1 hours 35 min 26 sec |
| CPU time | 1 hours 33 min 54 sec |
| Validate state | Valid |
| Credit | 4,160.00 |
| Device peak FLOPS | 4,506.92 GFLOPS |
| Application version | Machine Learning Dataset Generator (GPU) v9.75 (cuda10200) windows_x86_64 |
| Peak working set size | 1.63 GB |
| Peak swap size | 3.61 GB |
| Peak disk usage | 1.54 GB |
Stderr output
<core_client_version>7.16.20</core_client_version>
<![CDATA[
<stderr_txt>
main:574] : INFO : Epoch 1688 | loss: 0.0311413 | val_loss: 0.0311637 | Time: 2804.25 ms
[2022-03-31 20:14:39 main:574] : INFO : Epoch 1689 | loss: 0.0311428 | val_loss: 0.031164 | Time: 2802.14 ms
[2022-03-31 20:14:41 main:574] : INFO : Epoch 1690 | loss: 0.0311411 | val_loss: 0.0311634 | Time: 2775.96 ms
[2022-03-31 20:14:44 main:574] : INFO : Epoch 1691 | loss: 0.031141 | val_loss: 0.0311674 | Time: 2799.41 ms
[2022-03-31 20:14:47 main:574] : INFO : Epoch 1692 | loss: 0.0311397 | val_loss: 0.0311641 | Time: 2741.95 ms
[2022-03-31 20:14:50 main:574] : INFO : Epoch 1693 | loss: 0.0311403 | val_loss: 0.0311632 | Time: 2833.62 ms
[2022-03-31 20:14:53 main:574] : INFO : Epoch 1694 | loss: 0.0311366 | val_loss: 0.0311629 | Time: 2775.4 ms
[2022-03-31 20:14:55 main:574] : INFO : Epoch 1695 | loss: 0.0311369 | val_loss: 0.0311627 | Time: 2745.69 ms
[2022-03-31 20:14:58 main:574] : INFO : Epoch 1696 | loss: 0.0311363 | val_loss: 0.0311669 | Time: 2785.64 ms
[2022-03-31 20:15:01 main:574] : INFO : Epoch 1697 | loss: 0.0311363 | val_loss: 0.0311675 | Time: 2881.74 ms
[2022-03-31 20:15:04 main:574] : INFO : Epoch 1698 | loss: 0.0311384 | val_loss: 0.031166 | Time: 2812.18 ms
[2022-03-31 20:15:07 main:574] : INFO : Epoch 1699 | loss: 0.0311372 | val_loss: 0.0311654 | Time: 2792.06 ms
[2022-03-31 20:15:09 main:574] : INFO : Epoch 1700 | loss: 0.0311397 | val_loss: 0.0311644 | Time: 2826.99 ms
[2022-03-31 20:15:12 main:574] : INFO : Epoch 1701 | loss: 0.0311385 | val_loss: 0.0311713 | Time: 2822.72 ms
[2022-03-31 20:15:15 main:574] : INFO : Epoch 1702 | loss: 0.0311419 | val_loss: 0.031166 | Time: 2753.92 ms
[2022-03-31 20:15:18 main:574] : INFO : Epoch 1703 | loss: 0.0311407 | val_loss: 0.0311633 | Time: 2831.85 ms
[2022-03-31 20:15:21 main:574] : INFO : Epoch 1704 | loss: 0.0311411 | val_loss: 0.0311621 | Time: 2715.34 ms
[2022-03-31 20:15:23 main:574] : INFO : Epoch 1705 | loss: 0.0311396 | val_loss: 0.0311621 | Time: 2810.72 ms
[2022-03-31 20:15:26 main:574] : INFO : Epoch 1706 | loss: 0.0311402 | val_loss: 0.0311677 | Time: 2819.61 ms
[2022-03-31 20:15:29 main:574] : INFO : Epoch 1707 | loss: 0.031137 | val_loss: 0.0311733 | Time: 2762.37 ms
[2022-03-31 20:15:32 main:574] : INFO : Epoch 1708 | loss: 0.0311401 | val_loss: 0.0311634 | Time: 2857.42 ms
[2022-03-31 20:15:35 main:574] : INFO : Epoch 1709 | loss: 0.031139 | val_loss: 0.031167 | Time: 2784.25 ms
[2022-03-31 20:15:38 main:574] : INFO : Epoch 1710 | loss: 0.0311437 | val_loss: 0.0311658 | Time: 2909.92 ms
[2022-03-31 20:15:40 main:574] : INFO : Epoch 1711 | loss: 0.0311498 | val_loss: 0.0311682 | Time: 2801.84 ms
[2022-03-31 20:15:43 main:574] : INFO : Epoch 1712 | loss: 0.03115 | val_loss: 0.0311632 | Time: 2819.21 ms
[2022-03-31 20:15:46 main:574] : INFO : Epoch 1713 | loss: 0.031142 | val_loss: 0.0311669 | Time: 2782.82 ms
[2022-03-31 20:15:49 main:574] : INFO : Epoch 1714 | loss: 0.0311391 | val_loss: 0.0311652 | Time: 2749.11 ms
[2022-03-31 20:15:51 main:574] : INFO : Epoch 1715 | loss: 0.0311378 | val_loss: 0.0311627 | Time: 2751.28 ms
[2022-03-31 20:15:54 main:574] : INFO : Epoch 1716 | loss: 0.0311364 | val_loss: 0.0311638 | Time: 2772.42 ms
[2022-03-31 20:15:57 main:574] : INFO : Epoch 1717 | loss: 0.0311354 | val_loss: 0.0311615 | Time: 2841.74 ms
[2022-03-31 20:16:00 main:574] : INFO : Epoch 1718 | loss: 0.0311353 | val_loss: 0.0311627 | Time: 2807.12 ms
[2022-03-31 20:16:03 main:574] : INFO : Epoch 1719 | loss: 0.0311335 | val_loss: 0.0311658 | Time: 2817.72 ms
[2022-03-31 20:16:05 main:574] : INFO : Epoch 1720 | loss: 0.0311332 | val_loss: 0.0311663 | Time: 2768.38 ms
[2022-03-31 20:16:08 main:574] : INFO : Epoch 1721 | loss: 0.031136 | val_loss: 0.0311666 | Time: 2759.58 ms
[2022-03-31 20:16:11 main:574] : INFO : Epoch 1722 | loss: 0.0311344 | val_loss: 0.0311713 | Time: 2756.63 ms
[2022-03-31 20:16:14 main:574] : INFO : Epoch 1723 | loss: 0.0311371 | val_loss: 0.0311685 | Time: 2750.28 ms
[2022-03-31 20:16:17 main:574] : INFO : Epoch 1724 | loss: 0.0311344 | val_loss: 0.0311665 | Time: 2772.54 ms
[2022-03-31 20:16:19 main:574] : INFO : Epoch 1725 | loss: 0.031128 | val_loss: 0.0311633 | Time: 2843.72 ms
[2022-03-31 20:16:22 main:574] : INFO : Epoch 1726 | loss: 0.0311291 | val_loss: 0.0311638 | Time: 2764.36 ms
[2022-03-31 20:16:25 main:574] : INFO : Epoch 1727 | loss: 0.0311281 | val_loss: 0.031164 | Time: 2732.12 ms
[2022-03-31 20:16:28 main:574] : INFO : Epoch 1728 | loss: 0.0311279 | val_loss: 0.0311596 | Time: 2834.85 ms
[2022-03-31 20:16:31 main:574] : INFO : Epoch 1729 | loss: 0.0311263 | val_loss: 0.0311644 | Time: 2832.16 ms
[2022-03-31 20:16:33 main:574] : INFO : Epoch 1730 | loss: 0.0311255 | val_loss: 0.0311676 | Time: 2855.58 ms
[2022-03-31 20:16:36 main:574] : INFO : Epoch 1731 | loss: 0.0311274 | val_loss: 0.031163 | Time: 2795.25 ms
[2022-03-31 20:16:39 main:574] : INFO : Epoch 1732 | loss: 0.0311281 | val_loss: 0.0311674 | Time: 2788.96 ms
[2022-03-31 20:16:42 main:574] : INFO : Epoch 1733 | loss: 0.0311284 | val_loss: 0.031165 | Time: 2893.7 ms
[2022-03-31 20:16:45 main:574] : INFO : Epoch 1734 | loss: 0.031126 | val_loss: 0.0311614 | Time: 2857.91 ms
[2022-03-31 20:16:48 main:574] : INFO : Epoch 1735 | loss: 0.0311266 | val_loss: 0.0311622 | Time: 2757.11 ms
[2022-03-31 20:16:50 main:574] : INFO : Epoch 1736 | loss: 0.0311231 | val_loss: 0.0311648 | Time: 2783.43 ms
[2022-03-31 20:16:53 main:574] : INFO : Epoch 1737 | loss: 0.0311238 | val_loss: 0.0311668 | Time: 2806.22 ms
[2022-03-31 20:16:56 main:574] : INFO : Epoch 1738 | loss: 0.0311265 | val_loss: 0.0311687 | Time: 2741.56 ms
[2022-03-31 20:16:59 main:574] : INFO : Epoch 1739 | loss: 0.0311291 | val_loss: 0.0311664 | Time: 2791.61 ms
[2022-03-31 20:17:01 main:574] : INFO : Epoch 1740 | loss: 0.0311292 | val_loss: 0.0311657 | Time: 2827.86 ms
[2022-03-31 20:17:04 main:574] : INFO : Epoch 1741 | loss: 0.0311274 | val_loss: 0.0311682 | Time: 2910.4 ms
[2022-03-31 20:17:07 main:574] : INFO : Epoch 1742 | loss: 0.0311264 | val_loss: 0.0311611 | Time: 2826.46 ms
[2022-03-31 20:17:10 main:574] : INFO : Epoch 1743 | loss: 0.0311273 | val_loss: 0.0311752 | Time: 2919.34 ms
[2022-03-31 20:17:13 main:574] : INFO : Epoch 1744 | loss: 0.0311268 | val_loss: 0.0311615 | Time: 2809.93 ms
[2022-03-31 20:17:16 main:574] : INFO : Epoch 1745 | loss: 0.0311233 | val_loss: 0.0311625 | Time: 2809.84 ms
[2022-03-31 20:17:19 main:574] : INFO : Epoch 1746 | loss: 0.0311256 | val_loss: 0.0311622 | Time: 2858.71 ms
[2022-03-31 20:17:21 main:574] : INFO : Epoch 1747 | loss: 0.0311255 | val_loss: 0.0311588 | Time: 2806.46 ms
[2022-03-31 20:17:24 main:574] : INFO : Epoch 1748 | loss: 0.0311288 | val_loss: 0.0311628 | Time: 2773.44 ms
[2022-03-31 20:17:27 main:574] : INFO : Epoch 1749 | loss: 0.0311273 | val_loss: 0.0311588 | Time: 2765.37 ms
[2022-03-31 20:17:30 main:574] : INFO : Epoch 1750 | loss: 0.0311301 | val_loss: 0.0311619 | Time: 2727.61 ms
[2022-03-31 20:17:33 main:574] : INFO : Epoch 1751 | loss: 0.0311292 | val_loss: 0.0311698 | Time: 2839.32 ms
[2022-03-31 20:17:35 main:574] : INFO : Epoch 1752 | loss: 0.0311278 | val_loss: 0.0311645 | Time: 2805.04 ms
[2022-03-31 20:17:38 main:574] : INFO : Epoch 1753 | loss: 0.0311233 | val_loss: 0.0311673 | Time: 2810.11 ms
[2022-03-31 20:17:41 main:574] : INFO : Epoch 1754 | loss: 0.0311279 | val_loss: 0.031174 | Time: 2829.18 ms
[2022-03-31 20:17:44 main:574] : INFO : Epoch 1755 | loss: 0.0311253 | val_loss: 0.0311669 | Time: 2814.99 ms
[2022-03-31 20:17:47 main:574] : INFO : Epoch 1756 | loss: 0.0311267 | val_loss: 0.0311771 | Time: 2847.81 ms
[2022-03-31 20:17:50 main:574] : INFO : Epoch 1757 | loss: 0.0311275 | val_loss: 0.0311696 | Time: 2824.19 ms
[2022-03-31 20:17:52 main:574] : INFO : Epoch 1758 | loss: 0.0311259 | val_loss: 0.0311668 | Time: 2795.52 ms
[2022-03-31 20:17:55 main:574] : INFO : Epoch 1759 | loss: 0.0311257 | val_loss: 0.0311653 | Time: 2888.43 ms
[2022-03-31 20:17:58 main:574] : INFO : Epoch 1760 | loss: 0.0311222 | val_loss: 0.0311652 | Time: 2855.68 ms
[2022-03-31 20:18:01 main:574] : INFO : Epoch 1761 | loss: 0.0311201 | val_loss: 0.0311632 | Time: 2835.76 ms
[2022-03-31 20:18:04 main:574] : INFO : Epoch 1762 | loss: 0.0311183 | val_loss: 0.0311702 | Time: 2853.84 ms
[2022-03-31 20:18:07 main:574] : INFO : Epoch 1763 | loss: 0.0311197 | val_loss: 0.0311765 | Time: 2818.99 ms
[2022-03-31 20:18:09 main:574] : INFO : Epoch 1764 | loss: 0.0311183 | val_loss: 0.0311689 | Time: 2794.25 ms
[2022-03-31 20:18:12 main:574] : INFO : Epoch 1765 | loss: 0.0311186 | val_loss: 0.0311687 | Time: 2849.16 ms
[2022-03-31 20:18:15 main:574] : INFO : Epoch 1766 | loss: 0.0311209 | val_loss: 0.031169 | Time: 2797.19 ms
[2022-03-31 20:18:18 main:574] : INFO : Epoch 1767 | loss: 0.0311215 | val_loss: 0.031167 | Time: 2835.92 ms
[2022-03-31 20:18:21 main:574] : INFO : Epoch 1768 | loss: 0.031124 | val_loss: 0.0311693 | Time: 2826.13 ms
[2022-03-31 20:18:24 main:574] : INFO : Epoch 1769 | loss: 0.0311326 | val_loss: 0.0311697 | Time: 2815.06 ms
[2022-03-31 20:18:26 main:574] : INFO : Epoch 1770 | loss: 0.0311322 | val_loss: 0.031166 | Time: 2801.92 ms
[2022-03-31 20:18:29 main:574] : INFO : Epoch 1771 | loss: 0.0311324 | val_loss: 0.0311649 | Time: 2748.5 ms
[2022-03-31 20:18:32 main:574] : INFO : Epoch 1772 | loss: 0.0311283 | val_loss: 0.0311682 | Time: 2899.05 ms
[2022-03-31 20:18:35 main:574] : INFO : Epoch 1773 | loss: 0.0311236 | val_loss: 0.0311629 | Time: 2810.84 ms
[2022-03-31 20:18:38 main:574] : INFO : Epoch 1774 | loss: 0.0311309 | val_loss: 0.0311611 | Time: 2863.05 ms
[2022-03-31 20:18:40 main:574] : INFO : Epoch 1775 | loss: 0.0311301 | val_loss: 0.0311559 | Time: 2765.35 ms
[2022-03-31 20:18:43 main:574] : INFO : Epoch 1776 | loss: 0.0311285 | val_loss: 0.0311561 | Time: 2825.5 ms
[2022-03-31 20:18:46 main:574] : INFO : Epoch 1777 | loss: 0.031125 | val_loss: 0.0311594 | Time: 2788.25 ms
[2022-03-31 20:18:49 main:574] : INFO : Epoch 1778 | loss: 0.0311226 | val_loss: 0.0311612 | Time: 2850.07 ms
[2022-03-31 20:18:52 main:574] : INFO : Epoch 1779 | loss: 0.0311223 | val_loss: 0.0311627 | Time: 2803.61 ms
[2022-03-31 20:18:55 main:574] : INFO : Epoch 1780 | loss: 0.0311212 | val_loss: 0.0311614 | Time: 2786.87 ms
[2022-03-31 20:18:57 main:574] : INFO : Epoch 1781 | loss: 0.0311206 | val_loss: 0.0311659 | Time: 2814.64 ms
[2022-03-31 20:19:00 main:574] : INFO : Epoch 1782 | loss: 0.0311215 | val_loss: 0.031162 | Time: 2805.86 ms
[2022-03-31 20:19:03 main:574] : INFO : Epoch 1783 | loss: 0.0311202 | val_loss: 0.0311614 | Time: 2842.02 ms
[2022-03-31 20:19:06 main:574] : INFO : Epoch 1784 | loss: 0.0311202 | val_loss: 0.0311644 | Time: 2784.19 ms
[2022-03-31 20:19:09 main:574] : INFO : Epoch 1785 | loss: 0.0311243 | val_loss: 0.0311634 | Time: 2871.73 ms
[2022-03-31 20:19:11 main:574] : INFO : Epoch 1786 | loss: 0.0311221 | val_loss: 0.0311599 | Time: 2802.57 ms
[2022-03-31 20:19:14 main:574] : INFO : Epoch 1787 | loss: 0.0311239 | val_loss: 0.0311649 | Time: 2795.19 ms
[2022-03-31 20:19:17 main:574] : INFO : Epoch 1788 | loss: 0.0311194 | val_loss: 0.0311657 | Time: 2804.81 ms
[2022-03-31 20:19:20 main:574] : INFO : Epoch 1789 | loss: 0.0311194 | val_loss: 0.0311627 | Time: 2844.35 ms
[2022-03-31 20:19:23 main:574] : INFO : Epoch 1790 | loss: 0.0311205 | val_loss: 0.0311668 | Time: 2721.88 ms
[2022-03-31 20:19:25 main:574] : INFO : Epoch 1791 | loss: 0.0311216 | val_loss: 0.0311658 | Time: 2788.24 ms
[2022-03-31 20:19:28 main:574] : INFO : Epoch 1792 | loss: 0.0311221 | val_loss: 0.0311605 | Time: 2787.34 ms
[2022-03-31 20:19:31 main:574] : INFO : Epoch 1793 | loss: 0.0311222 | val_loss: 0.0311627 | Time: 2774.21 ms
[2022-03-31 20:19:34 main:574] : INFO : Epoch 1794 | loss: 0.0311223 | val_loss: 0.0311726 | Time: 2828.18 ms
[2022-03-31 20:19:37 main:574] : INFO : Epoch 1795 | loss: 0.031127 | val_loss: 0.0311696 | Time: 2789.9 ms
[2022-03-31 20:19:39 main:574] : INFO : Epoch 1796 | loss: 0.0311443 | val_loss: 0.0311646 | Time: 2815.92 ms
[2022-03-31 20:19:42 main:574] : INFO : Epoch 1797 | loss: 0.0311386 | val_loss: 0.0311609 | Time: 2830.47 ms
[2022-03-31 20:19:45 main:574] : INFO : Epoch 1798 | loss: 0.0311354 | val_loss: 0.0311652 | Time: 2797.93 ms
[2022-03-31 20:19:48 main:574] : INFO : Epoch 1799 | loss: 0.0311316 | val_loss: 0.0311644 | Time: 2733.44 ms
[2022-03-31 20:19:51 main:574] : INFO : Epoch 1800 | loss: 0.0311262 | val_loss: 0.0311586 | Time: 2810.92 ms
[2022-03-31 20:19:54 main:574] : INFO : Epoch 1801 | loss: 0.031125 | val_loss: 0.0311618 | Time: 2837.26 ms
[2022-03-31 20:19:56 main:574] : INFO : Epoch 1802 | loss: 0.0311214 | val_loss: 0.0311589 | Time: 2786.65 ms
[2022-03-31 20:19:59 main:574] : INFO : Epoch 1803 | loss: 0.031121 | val_loss: 0.0311607 | Time: 2839.04 ms
[2022-03-31 20:20:02 main:574] : INFO : Epoch 1804 | loss: 0.0311224 | val_loss: 0.0311735 | Time: 2824.15 ms
[2022-03-31 20:20:05 main:574] : INFO : Epoch 1805 | loss: 0.0311251 | val_loss: 0.0311632 | Time: 2787.42 ms
[2022-03-31 20:20:08 main:574] : INFO : Epoch 1806 | loss: 0.0311182 | val_loss: 0.0311664 | Time: 2783.59 ms
[2022-03-31 20:20:10 main:574] : INFO : Epoch 1807 | loss: 0.0311198 | val_loss: 0.0311641 | Time: 2794.54 ms
[2022-03-31 20:20:13 main:574] : INFO : Epoch 1808 | loss: 0.031117 | val_loss: 0.0311655 | Time: 2758.5 ms
[2022-03-31 20:20:16 main:574] : INFO : Epoch 1809 | loss: 0.0311174 | val_loss: 0.0311676 | Time: 2905.16 ms
[2022-03-31 20:20:19 main:574] : INFO : Epoch 1810 | loss: 0.0311181 | val_loss: 0.0311722 | Time: 2777.14 ms
[2022-03-31 20:20:22 main:574] : INFO : Epoch 1811 | loss: 0.0311151 | val_loss: 0.0311658 | Time: 2836.1 ms
[2022-03-31 20:20:24 main:574] : INFO : Epoch 1812 | loss: 0.0311171 | val_loss: 0.0311743 | Time: 2809.12 ms
[2022-03-31 20:20:27 main:574] : INFO : Epoch 1813 | loss: 0.0311231 | val_loss: 0.0311673 | Time: 2811.02 ms
[2022-03-31 20:20:30 main:574] : INFO : Epoch 1814 | loss: 0.0311236 | val_loss: 0.0311668 | Time: 2799.39 ms
[2022-03-31 20:20:33 main:574] : INFO : Epoch 1815 | loss: 0.031118 | val_loss: 0.0311705 | Time: 2808.36 ms
[2022-03-31 20:20:36 main:574] : INFO : Epoch 1816 | loss: 0.0311198 | val_loss: 0.0311676 | Time: 2749.41 ms
[2022-03-31 20:20:38 main:574] : INFO : Epoch 1817 | loss: 0.0311171 | val_loss: 0.0311681 | Time: 2767.24 ms
[2022-03-31 20:20:41 main:574] : INFO : Epoch 1818 | loss: 0.0311177 | val_loss: 0.0311695 | Time: 2814.89 ms
[2022-03-31 20:20:44 main:574] : INFO : Epoch 1819 | loss: 0.0311175 | val_loss: 0.0311684 | Time: 2784.53 ms
[2022-03-31 20:20:47 main:574] : INFO : Epoch 1820 | loss: 0.0311162 | val_loss: 0.0311676 | Time: 2766.8 ms
[2022-03-31 20:20:50 main:574] : INFO : Epoch 1821 | loss: 0.0311142 | val_loss: 0.0311682 | Time: 2858.33 ms
[2022-03-31 20:20:52 main:574] : INFO : Epoch 1822 | loss: 0.031117 | val_loss: 0.031164 | Time: 2729.97 ms
[2022-03-31 20:20:55 main:574] : INFO : Epoch 1823 | loss: 0.0311146 | val_loss: 0.0311708 | Time: 2750.8 ms
[2022-03-31 20:20:58 main:574] : INFO : Epoch 1824 | loss: 0.0311163 | val_loss: 0.0311667 | Time: 2846.23 ms
[2022-03-31 20:21:01 main:574] : INFO : Epoch 1825 | loss: 0.0311179 | val_loss: 0.0311681 | Time: 2828.71 ms
[2022-03-31 20:21:04 main:574] : INFO : Epoch 1826 | loss: 0.0311164 | val_loss: 0.0311705 | Time: 2742.88 ms
[2022-03-31 20:21:06 main:574] : INFO : Epoch 1827 | loss: 0.0311165 | val_loss: 0.0311699 | Time: 2825.64 ms
[2022-03-31 20:21:09 main:574] : INFO : Epoch 1828 | loss: 0.0311162 | val_loss: 0.0311709 | Time: 2865.78 ms
[2022-03-31 20:21:12 main:574] : INFO : Epoch 1829 | loss: 0.0311132 | val_loss: 0.0311726 | Time: 2763.26 ms
[2022-03-31 20:21:15 main:574] : INFO : Epoch 1830 | loss: 0.0311137 | val_loss: 0.0311718 | Time: 2841.52 ms
[2022-03-31 20:21:18 main:574] : INFO : Epoch 1831 | loss: 0.0311132 | val_loss: 0.0311711 | Time: 2767.93 ms
[2022-03-31 20:21:20 main:574] : INFO : Epoch 1832 | loss: 0.0311166 | val_loss: 0.0311707 | Time: 2773.56 ms
[2022-03-31 20:21:23 main:574] : INFO : Epoch 1833 | loss: 0.0311144 | val_loss: 0.0311715 | Time: 2809.26 ms
[2022-03-31 20:21:26 main:574] : INFO : Epoch 1834 | loss: 0.0311149 | val_loss: 0.0311778 | Time: 2716.94 ms
[2022-03-31 20:21:29 main:574] : INFO : Epoch 1835 | loss: 0.031119 | val_loss: 0.0311734 | Time: 2816.55 ms
[2022-03-31 20:21:32 main:574] : INFO : Epoch 1836 | loss: 0.0311138 | val_loss: 0.0311733 | Time: 2757.13 ms
[2022-03-31 20:21:34 main:574] : INFO : Epoch 1837 | loss: 0.0311143 | val_loss: 0.0311721 | Time: 2773.37 ms
[2022-03-31 20:21:37 main:574] : INFO : Epoch 1838 | loss: 0.0311215 | val_loss: 0.0311662 | Time: 2876.36 ms
[2022-03-31 20:21:40 main:574] : INFO : Epoch 1839 | loss: 0.0311299 | val_loss: 0.0311731 | Time: 2783.55 ms
[2022-03-31 20:21:43 main:574] : INFO : Epoch 1840 | loss: 0.0311274 | val_loss: 0.0311741 | Time: 2856.17 ms
Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: NVIDIA GeForce GTX 1060 6GB)
[2022-03-31 20:23:34 main:435] : INFO : Set logging level to 1
[2022-03-31 20:23:34 main:441] : INFO : Running in BOINC Client mode
[2022-03-31 20:23:34 main:444] : INFO : Resolving all filenames
[2022-03-31 20:23:34 main:452] : INFO : Resolved: dataset.hdf5 => dataset.hdf5 (exists = 1)
[2022-03-31 20:23:34 main:452] : INFO : Resolved: model.cfg => model.cfg (exists = 1)
[2022-03-31 20:23:34 main:452] : INFO : Resolved: model-final.pt => model-final.pt (exists = 0)
[2022-03-31 20:23:34 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 1)
[2022-03-31 20:23:34 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1)
[2022-03-31 20:23:34 main:472] : INFO : Dataset filename: dataset.hdf5
[2022-03-31 20:23:34 main:474] : INFO : Configuration:
[2022-03-31 20:23:34 main:475] : INFO : Model type: GRU
[2022-03-31 20:23:34 main:476] : INFO : Validation Loss Threshold: 0.0001
[2022-03-31 20:23:34 main:477] : INFO : Max Epochs: 2048
[2022-03-31 20:23:34 main:478] : INFO : Batch Size: 128
[2022-03-31 20:23:34 main:479] : INFO : Learning Rate: 0.01
[2022-03-31 20:23:34 main:480] : INFO : Patience: 10
[2022-03-31 20:23:34 main:481] : INFO : Hidden Width: 12
[2022-03-31 20:23:34 main:482] : INFO : # Recurrent Layers: 4
[2022-03-31 20:23:34 main:483] : INFO : # Backend Layers: 4
[2022-03-31 20:23:34 main:484] : INFO : # Threads: 1
[2022-03-31 20:23:34 main:486] : INFO : Preparing Dataset
[2022-03-31 20:23:34 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from dataset.hdf5 into memory
[2022-03-31 20:23:34 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from dataset.hdf5 into memory
[2022-03-31 20:23:37 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory.
[2022-03-31 20:23:37 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from dataset.hdf5 into memory
[2022-03-31 20:23:37 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from dataset.hdf5 into memory
[2022-03-31 20:23:37 load:106] : INFO : Successfully loaded dataset of 512 examples into memory.
[2022-03-31 20:23:37 main:494] : INFO : Creating Model
[2022-03-31 20:23:37 main:507] : INFO : Preparing config file
[2022-03-31 20:23:37 main:511] : INFO : Found checkpoint, attempting to load...
[2022-03-31 20:23:37 main:512] : INFO : Loading config
[2022-03-31 20:23:37 main:514] : INFO : Loading state
[2022-03-31 20:23:38 main:559] : INFO : Loading DataLoader into Memory
[2022-03-31 20:23:38 main:562] : INFO : Starting Training
[2022-03-31 20:23:41 main:574] : INFO : Epoch 1797 | loss: 0.0313385 | val_loss: 0.0312389 | Time: 2935.85 ms
[2022-03-31 20:23:44 main:574] : INFO : Epoch 1798 | loss: 0.0311547 | val_loss: 0.0311693 | Time: 2565.58 ms
[2022-03-31 20:23:46 main:574] : INFO : Epoch 1799 | loss: 0.0311303 | val_loss: 0.0311674 | Time: 2618.39 ms
[2022-03-31 20:23:49 main:574] : INFO : Epoch 1800 | loss: 0.031123 | val_loss: 0.0311722 | Time: 2660.41 ms
[2022-03-31 20:23:51 main:574] : INFO : Epoch 1801 | loss: 0.0311253 | val_loss: 0.0311642 | Time: 2587.32 ms
[2022-03-31 20:23:54 main:574] : INFO : Epoch 1802 | loss: 0.0311261 | val_loss: 0.0311716 | Time: 2599.35 ms
[2022-03-31 20:23:57 main:574] : INFO : Epoch 1803 | loss: 0.0311228 | val_loss: 0.0311679 | Time: 2671.78 ms
[2022-03-31 20:23:59 main:574] : INFO : Epoch 1804 | loss: 0.0311184 | val_loss: 0.0311655 | Time: 2629.04 ms
[2022-03-31 20:24:02 main:574] : INFO : Epoch 1805 | loss: 0.0311162 | val_loss: 0.0311688 | Time: 2617.29 ms
[2022-03-31 20:24:05 main:574] : INFO : Epoch 1806 | loss: 0.0311175 | val_loss: 0.0311648 | Time: 2689.46 ms
[2022-03-31 20:24:07 main:574] : INFO : Epoch 1807 | loss: 0.0311184 | val_loss: 0.0311659 | Time: 2668.74 ms
[2022-03-31 20:24:10 main:574] : INFO : Epoch 1808 | loss: 0.031117 | val_loss: 0.031162 | Time: 2664.98 ms
[2022-03-31 20:24:13 main:574] : INFO : Epoch 1809 | loss: 0.0311176 | val_loss: 0.0311646 | Time: 2646.44 ms
[2022-03-31 20:24:15 main:574] : INFO : Epoch 1810 | loss: 0.031115 | val_loss: 0.0311708 | Time: 2608.14 ms
[2022-03-31 20:24:18 main:574] : INFO : Epoch 1811 | loss: 0.0311167 | val_loss: 0.031164 | Time: 2586.28 ms
[2022-03-31 20:24:20 main:574] : INFO : Epoch 1812 | loss: 0.0311223 | val_loss: 0.0311725 | Time: 2650.26 ms
[2022-03-31 20:24:23 main:574] : INFO : Epoch 1813 | loss: 0.0311181 | val_loss: 0.0311708 | Time: 2601.34 ms
[2022-03-31 20:24:26 main:574] : INFO : Epoch 1814 | loss: 0.0311148 | val_loss: 0.0311733 | Time: 2824.03 ms
[2022-03-31 20:24:29 main:574] : INFO : Epoch 1815 | loss: 0.0311146 | val_loss: 0.0311682 | Time: 2772.74 ms
[2022-03-31 20:24:31 main:574] : INFO : Epoch 1816 | loss: 0.0311168 | val_loss: 0.0311815 | Time: 2700.07 ms
[2022-03-31 20:24:34 main:574] : INFO : Epoch 1817 | loss: 0.0311238 | val_loss: 0.031169 | Time: 2792.38 ms
[2022-03-31 20:24:37 main:574] : INFO : Epoch 1818 | loss: 0.031119 | val_loss: 0.0311725 | Time: 2705.4 ms
[2022-03-31 20:24:40 main:574] : INFO : Epoch 1819 | loss: 0.0311166 | val_loss: 0.031165 | Time: 2751.99 ms
Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: NVIDIA GeForce GTX 1060 6GB)
[2022-03-31 20:26:26 main:435] : INFO : Set logging level to 1
[2022-03-31 20:26:26 main:441] : INFO : Running in BOINC Client mode
[2022-03-31 20:26:26 main:444] : INFO : Resolving all filenames
[2022-03-31 20:26:26 main:452] : INFO : Resolved: dataset.hdf5 => dataset.hdf5 (exists = 1)
[2022-03-31 20:26:26 main:452] : INFO : Resolved: model.cfg => model.cfg (exists = 1)
[2022-03-31 20:26:26 main:452] : INFO : Resolved: model-final.pt => model-final.pt (exists = 0)
[2022-03-31 20:26:26 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 1)
[2022-03-31 20:26:26 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1)
[2022-03-31 20:26:26 main:472] : INFO : Dataset filename: dataset.hdf5
[2022-03-31 20:26:26 main:474] : INFO : Configuration:
[2022-03-31 20:26:26 main:475] : INFO : Model type: GRU
[2022-03-31 20:26:26 main:476] : INFO : Validation Loss Threshold: 0.0001
[2022-03-31 20:26:26 main:477] : INFO : Max Epochs: 2048
[2022-03-31 20:26:26 main:478] : INFO : Batch Size: 128
[2022-03-31 20:26:26 main:479] : INFO : Learning Rate: 0.01
[2022-03-31 20:26:26 main:480] : INFO : Patience: 10
[2022-03-31 20:26:26 main:481] : INFO : Hidden Width: 12
[2022-03-31 20:26:26 main:482] : INFO : # Recurrent Layers: 4
[2022-03-31 20:26:27 main:483] : INFO : # Backend Layers: 4
[2022-03-31 20:26:27 main:484] : INFO : # Threads: 1
[2022-03-31 20:26:27 main:486] : INFO : Preparing Dataset
[2022-03-31 20:26:27 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from dataset.hdf5 into memory
[2022-03-31 20:26:27 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from dataset.hdf5 into memory
[2022-03-31 20:26:29 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory.
[2022-03-31 20:26:29 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from dataset.hdf5 into memory
[2022-03-31 20:26:29 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from dataset.hdf5 into memory
[2022-03-31 20:26:30 load:106] : INFO : Successfully loaded dataset of 512 examples into memory.
[2022-03-31 20:26:30 main:494] : INFO : Creating Model
[2022-03-31 20:26:30 main:507] : INFO : Preparing config file
[2022-03-31 20:26:30 main:511] : INFO : Found checkpoint, attempting to load...
[2022-03-31 20:26:30 main:512] : INFO : Loading config
[2022-03-31 20:26:30 main:514] : INFO : Loading state
[2022-03-31 20:26:31 main:559] : INFO : Loading DataLoader into Memory
[2022-03-31 20:26:31 main:562] : INFO : Starting Training
[2022-03-31 20:26:34 main:574] : INFO : Epoch 1797 | loss: 0.0313472 | val_loss: 0.0312253 | Time: 3240.89 ms
[2022-03-31 20:26:37 main:574] : INFO : Epoch 1798 | loss: 0.0311598 | val_loss: 0.0311692 | Time: 2825.34 ms
[2022-03-31 20:26:40 main:574] : INFO : Epoch 1799 | loss: 0.0311387 | val_loss: 0.0311678 | Time: 2763.33 ms
[2022-03-31 20:26:42 main:574] : INFO : Epoch 1800 | loss: 0.0311342 | val_loss: 0.031163 | Time: 2788.41 ms
[2022-03-31 20:26:45 main:574] : INFO : Epoch 1801 | loss: 0.0311256 | val_loss: 0.0311604 | Time: 2838.45 ms
[2022-03-31 20:26:48 main:574] : INFO : Epoch 1802 | loss: 0.0311264 | val_loss: 0.0311686 | Time: 2783.84 ms
[2022-03-31 20:26:51 main:574] : INFO : Epoch 1803 | loss: 0.0311251 | val_loss: 0.0311619 | Time: 2787.46 ms
[2022-03-31 20:26:54 main:574] : INFO : Epoch 1804 | loss: 0.0311255 | val_loss: 0.0311631 | Time: 2762.59 ms
[2022-03-31 20:26:56 main:574] : INFO : Epoch 1805 | loss: 0.0311215 | val_loss: 0.031168 | Time: 2761.54 ms
[2022-03-31 20:26:59 main:574] : INFO : Epoch 1806 | loss: 0.0311229 | val_loss: 0.0311673 | Time: 2780.57 ms
[2022-03-31 20:27:02 main:574] : INFO : Epoch 1807 | loss: 0.0311259 | val_loss: 0.0311655 | Time: 2843.35 ms
[2022-03-31 20:27:05 main:574] : INFO : Epoch 1808 | loss: 0.0311259 | val_loss: 0.0311778 | Time: 2747.94 ms
[2022-03-31 20:27:07 main:574] : INFO : Epoch 1809 | loss: 0.0311263 | val_loss: 0.0311674 | Time: 2797.95 ms
[2022-03-31 20:27:10 main:574] : INFO : Epoch 1810 | loss: 0.0311181 | val_loss: 0.031173 | Time: 2773.79 ms
[2022-03-31 20:27:13 main:574] : INFO : Epoch 1811 | loss: 0.0311168 | val_loss: 0.0311661 | Time: 2765.8 ms
[2022-03-31 20:27:16 main:574] : INFO : Epoch 1812 | loss: 0.0311153 | val_loss: 0.0311609 | Time: 2725.14 ms
[2022-03-31 20:27:19 main:574] : INFO : Epoch 1813 | loss: 0.0311152 | val_loss: 0.0311657 | Time: 2813.96 ms
[2022-03-31 20:27:21 main:574] : INFO : Epoch 1814 | loss: 0.0311205 | val_loss: 0.0311648 | Time: 2891.96 ms
[2022-03-31 20:27:24 main:574] : INFO : Epoch 1815 | loss: 0.0311214 | val_loss: 0.0311724 | Time: 2831.17 ms
[2022-03-31 20:27:27 main:574] : INFO : Epoch 1816 | loss: 0.0311201 | val_loss: 0.0311618 | Time: 2833.25 ms
[2022-03-31 20:27:30 main:574] : INFO : Epoch 1817 | loss: 0.0311203 | val_loss: 0.031163 | Time: 2786.79 ms
[2022-03-31 20:27:33 main:574] : INFO : Epoch 1818 | loss: 0.0311186 | val_loss: 0.0311667 | Time: 2932.7 ms
[2022-03-31 20:27:36 main:574] : INFO : Epoch 1819 | loss: 0.0311158 | val_loss: 0.0311613 | Time: 2807.66 ms
[2022-03-31 20:27:38 main:574] : INFO : Epoch 1820 | loss: 0.0311154 | val_loss: 0.0311776 | Time: 2771.92 ms
[2022-03-31 20:27:41 main:574] : INFO : Epoch 1821 | loss: 0.0311162 | val_loss: 0.031176 | Time: 2732.68 ms
[2022-03-31 20:27:44 main:574] : INFO : Epoch 1822 | loss: 0.0311193 | val_loss: 0.0311698 | Time: 2780.39 ms
[2022-03-31 20:27:47 main:574] : INFO : Epoch 1823 | loss: 0.0311176 | val_loss: 0.0311673 | Time: 2851.22 ms
[2022-03-31 20:27:50 main:574] : INFO : Epoch 1824 | loss: 0.0311215 | val_loss: 0.0311658 | Time: 2818.27 ms
[2022-03-31 20:27:52 main:574] : INFO : Epoch 1825 | loss: 0.0311221 | val_loss: 0.0311692 | Time: 2780.78 ms
[2022-03-31 20:27:55 main:574] : INFO : Epoch 1826 | loss: 0.0311204 | val_loss: 0.0311645 | Time: 2786 ms
[2022-03-31 20:27:58 main:574] : INFO : Epoch 1827 | loss: 0.0311212 | val_loss: 0.0311698 | Time: 2835.87 ms
[2022-03-31 20:28:01 main:574] : INFO : Epoch 1828 | loss: 0.031119 | val_loss: 0.0311607 | Time: 2914.28 ms
[2022-03-31 20:28:04 main:574] : INFO : Epoch 1829 | loss: 0.0311194 | val_loss: 0.0311634 | Time: 2850.53 ms
[2022-03-31 20:28:07 main:574] : INFO : Epoch 1830 | loss: 0.0311185 | val_loss: 0.0311694 | Time: 2779.97 ms
[2022-03-31 20:28:09 main:574] : INFO : Epoch 1831 | loss: 0.0311159 | val_loss: 0.0311702 | Time: 2806.66 ms
[2022-03-31 20:28:12 main:574] : INFO : Epoch 1832 | loss: 0.0311132 | val_loss: 0.0311673 | Time: 2830.79 ms
[2022-03-31 20:28:15 main:574] : INFO : Epoch 1833 | loss: 0.0311146 | val_loss: 0.0311665 | Time: 2829.92 ms
[2022-03-31 20:28:18 main:574] : INFO : Epoch 1834 | loss: 0.0311123 | val_loss: 0.031166 | Time: 2783.79 ms
[2022-03-31 20:28:21 main:574] : INFO : Epoch 1835 | loss: 0.0311107 | val_loss: 0.0311714 | Time: 2865 ms
[2022-03-31 20:28:24 main:574] : INFO : Epoch 1836 | loss: 0.0311108 | val_loss: 0.0311676 | Time: 2847.05 ms
[2022-03-31 20:28:26 main:574] : INFO : Epoch 1837 | loss: 0.0311089 | val_loss: 0.0311677 | Time: 2826.02 ms
[2022-03-31 20:28:29 main:574] : INFO : Epoch 1838 | loss: 0.0311098 | val_loss: 0.0311656 | Time: 2927.28 ms
[2022-03-31 20:28:32 main:574] : INFO : Epoch 1839 | loss: 0.0311094 | val_loss: 0.0311721 | Time: 2805.58 ms
[2022-03-31 20:28:35 main:574] : INFO : Epoch 1840 | loss: 0.0311084 | val_loss: 0.0311676 | Time: 2821.96 ms
[2022-03-31 20:28:38 main:574] : INFO : Epoch 1841 | loss: 0.0311085 | val_loss: 0.0311655 | Time: 2799.11 ms
[2022-03-31 20:28:41 main:574] : INFO : Epoch 1842 | loss: 0.0311126 | val_loss: 0.0311755 | Time: 2750.2 ms
[2022-03-31 20:28:43 main:574] : INFO : Epoch 1843 | loss: 0.0311076 | val_loss: 0.0311684 | Time: 2815.91 ms
[2022-03-31 20:28:46 main:574] : INFO : Epoch 1844 | loss: 0.031107 | val_loss: 0.0311721 | Time: 2849.74 ms
[2022-03-31 20:28:49 main:574] : INFO : Epoch 1845 | loss: 0.0311072 | val_loss: 0.031167 | Time: 2801 ms
[2022-03-31 20:28:52 main:574] : INFO : Epoch 1846 | loss: 0.0311066 | val_loss: 0.0311609 | Time: 2798.6 ms
[2022-03-31 20:28:55 main:574] : INFO : Epoch 1847 | loss: 0.0311072 | val_loss: 0.031167 | Time: 2905.56 ms
[2022-03-31 20:28:58 main:574] : INFO : Epoch 1848 | loss: 0.0311082 | val_loss: 0.031173 | Time: 2757.57 ms
[2022-03-31 20:29:00 main:574] : INFO : Epoch 1849 | loss: 0.0311086 | val_loss: 0.0311665 | Time: 2797.11 ms
[2022-03-31 20:29:03 main:574] : INFO : Epoch 1850 | loss: 0.0311116 | val_loss: 0.031175 | Time: 2839.17 ms
[2022-03-31 20:29:06 main:574] : INFO : Epoch 1851 | loss: 0.0311224 | val_loss: 0.0311708 | Time: 2755.36 ms
[2022-03-31 20:29:09 main:574] : INFO : Epoch 1852 | loss: 0.0311218 | val_loss: 0.0311719 | Time: 2768.29 ms
[2022-03-31 20:29:12 main:574] : INFO : Epoch 1853 | loss: 0.0311121 | val_loss: 0.0311668 | Time: 2859.85 ms
[2022-03-31 20:29:14 main:574] : INFO : Epoch 1854 | loss: 0.0311117 | val_loss: 0.03117 | Time: 2813.45 ms
[2022-03-31 20:29:17 main:574] : INFO : Epoch 1855 | loss: 0.0311101 | val_loss: 0.0311697 | Time: 2778.67 ms
[2022-03-31 20:29:20 main:574] : INFO : Epoch 1856 | loss: 0.031108 | val_loss: 0.0311669 | Time: 2771.6 ms
[2022-03-31 20:29:23 main:574] : INFO : Epoch 1857 | loss: 0.0311075 | val_loss: 0.0311663 | Time: 2798.61 ms
[2022-03-31 20:29:26 main:574] : INFO : Epoch 1858 | loss: 0.0311065 | val_loss: 0.031171 | Time: 2820.48 ms
[2022-03-31 20:29:29 main:574] : INFO : Epoch 1859 | loss: 0.0311058 | val_loss: 0.0311694 | Time: 3167.31 ms
[2022-03-31 20:29:32 main:574] : INFO : Epoch 1860 | loss: 0.0311094 | val_loss: 0.03117 | Time: 2835.06 ms
[2022-03-31 20:29:34 main:574] : INFO : Epoch 1861 | loss: 0.0311276 | val_loss: 0.0311666 | Time: 2857.81 ms
[2022-03-31 20:29:37 main:574] : INFO : Epoch 1862 | loss: 0.0311311 | val_loss: 0.0311599 | Time: 2770.88 ms
[2022-03-31 20:29:40 main:574] : INFO : Epoch 1863 | loss: 0.0311287 | val_loss: 0.031163 | Time: 2833.92 ms
[2022-03-31 20:29:43 main:574] : INFO : Epoch 1864 | loss: 0.0311217 | val_loss: 0.0311623 | Time: 2798.51 ms
[2022-03-31 20:29:46 main:574] : INFO : Epoch 1865 | loss: 0.0311176 | val_loss: 0.0311685 | Time: 2823.06 ms
[2022-03-31 20:29:48 main:574] : INFO : Epoch 1866 | loss: 0.0311153 | val_loss: 0.031168 | Time: 2825.99 ms
[2022-03-31 20:29:51 main:574] : INFO : Epoch 1867 | loss: 0.0311143 | val_loss: 0.0311672 | Time: 2849.93 ms
[2022-03-31 20:29:54 main:574] : INFO : Epoch 1868 | loss: 0.0311121 | val_loss: 0.0311672 | Time: 2867.45 ms
[2022-03-31 20:29:57 main:574] : INFO : Epoch 1869 | loss: 0.031116 | val_loss: 0.0311606 | Time: 2881.88 ms
Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: NVIDIA GeForce GTX 1060 6GB)
[2022-03-31 20:31:24 main:435] : INFO : Set logging level to 1
[2022-03-31 20:31:24 main:441] : INFO : Running in BOINC Client mode
[2022-03-31 20:31:24 main:444] : INFO : Resolving all filenames
[2022-03-31 20:31:24 main:452] : INFO : Resolved: dataset.hdf5 => dataset.hdf5 (exists = 1)
[2022-03-31 20:31:24 main:452] : INFO : Resolved: model.cfg => model.cfg (exists = 1)
[2022-03-31 20:31:24 main:452] : INFO : Resolved: model-final.pt => model-final.pt (exists = 0)
[2022-03-31 20:31:24 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 1)
[2022-03-31 20:31:24 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1)
[2022-03-31 20:31:24 main:472] : INFO : Dataset filename: dataset.hdf5
[2022-03-31 20:31:24 main:474] : INFO : Configuration:
[2022-03-31 20:31:24 main:475] : INFO : Model type: GRU
[2022-03-31 20:31:24 main:476] : INFO : Validation Loss Threshold: 0.0001
[2022-03-31 20:31:24 main:477] : INFO : Max Epochs: 2048
[2022-03-31 20:31:24 main:478] : INFO : Batch Size: 128
[2022-03-31 20:31:24 main:479] : INFO : Learning Rate: 0.01
[2022-03-31 20:31:24 main:480] : INFO : Patience: 10
[2022-03-31 20:31:24 main:481] : INFO : Hidden Width: 12
[2022-03-31 20:31:24 main:482] : INFO : # Recurrent Layers: 4
[2022-03-31 20:31:24 main:483] : INFO : # Backend Layers: 4
[2022-03-31 20:31:24 main:484] : INFO : # Threads: 1
[2022-03-31 20:31:24 main:486] : INFO : Preparing Dataset
[2022-03-31 20:31:24 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from dataset.hdf5 into memory
[2022-03-31 20:31:25 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from dataset.hdf5 into memory
[2022-03-31 20:31:27 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory.
[2022-03-31 20:31:27 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from dataset.hdf5 into memory
[2022-03-31 20:31:27 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from dataset.hdf5 into memory
[2022-03-31 20:31:27 load:106] : INFO : Successfully loaded dataset of 512 examples into memory.
[2022-03-31 20:31:27 main:494] : INFO : Creating Model
[2022-03-31 20:31:27 main:507] : INFO : Preparing config file
[2022-03-31 20:31:27 main:511] : INFO : Found checkpoint, attempting to load...
[2022-03-31 20:31:27 main:512] : INFO : Loading config
[2022-03-31 20:31:27 main:514] : INFO : Loading state
[2022-03-31 20:31:28 main:559] : INFO : Loading DataLoader into Memory
[2022-03-31 20:31:28 main:562] : INFO : Starting Training
[2022-03-31 20:31:31 main:574] : INFO : Epoch 1866 | loss: 0.0312603 | val_loss: 0.0311966 | Time: 3069.48 ms
[2022-03-31 20:31:34 main:574] : INFO : Epoch 1867 | loss: 0.0311391 | val_loss: 0.0311747 | Time: 2772.08 ms
[2022-03-31 20:31:37 main:574] : INFO : Epoch 1868 | loss: 0.0311205 | val_loss: 0.0311732 | Time: 2814.08 ms
[2022-03-31 20:31:40 main:574] : INFO : Epoch 1869 | loss: 0.0311155 | val_loss: 0.0311681 | Time: 2834.97 ms
[2022-03-31 20:31:43 main:574] : INFO : Epoch 1870 | loss: 0.0311138 | val_loss: 0.0311631 | Time: 2818.11 ms
[2022-03-31 20:31:45 main:574] : INFO : Epoch 1871 | loss: 0.0311135 | val_loss: 0.0311723 | Time: 2824.13 ms
[2022-03-31 20:31:48 main:574] : INFO : Epoch 1872 | loss: 0.0311164 | val_loss: 0.0311652 | Time: 2793.19 ms
[2022-03-31 20:31:51 main:574] : INFO : Epoch 1873 | loss: 0.0311154 | val_loss: 0.031168 | Time: 2788.77 ms
[2022-03-31 20:31:54 main:574] : INFO : Epoch 1874 | loss: 0.0311142 | val_loss: 0.0311697 | Time: 2712.23 ms
[2022-03-31 20:31:57 main:574] : INFO : Epoch 1875 | loss: 0.0311183 | val_loss: 0.0311633 | Time: 2769.33 ms
[2022-03-31 20:31:59 main:574] : INFO : Epoch 1876 | loss: 0.0311189 | val_loss: 0.0311632 | Time: 2767.81 ms
[2022-03-31 20:32:02 main:574] : INFO : Epoch 1877 | loss: 0.0311244 | val_loss: 0.0311604 | Time: 2772.94 ms
[2022-03-31 20:32:05 main:574] : INFO : Epoch 1878 | loss: 0.0311193 | val_loss: 0.0311646 | Time: 2930.73 ms
[2022-03-31 20:32:08 main:574] : INFO : Epoch 1879 | loss: 0.0311169 | val_loss: 0.0311642 | Time: 2862.4 ms
[2022-03-31 20:32:11 main:574] : INFO : Epoch 1880 | loss: 0.0311159 | val_loss: 0.0311705 | Time: 2842.91 ms
[2022-03-31 20:32:13 main:574] : INFO : Epoch 1881 | loss: 0.0311159 | val_loss: 0.031172 | Time: 2761.29 ms
[2022-03-31 20:32:16 main:574] : INFO : Epoch 1882 | loss: 0.0311156 | val_loss: 0.031177 | Time: 2730.85 ms
[2022-03-31 20:32:19 main:574] : INFO : Epoch 1883 | loss: 0.0311117 | val_loss: 0.0311727 | Time: 2868.35 ms
[2022-03-31 20:32:22 main:574] : INFO : Epoch 1884 | loss: 0.031114 | val_loss: 0.0311635 | Time: 2850.43 ms
[2022-03-31 20:32:25 main:574] : INFO : Epoch 1885 | loss: 0.0311186 | val_loss: 0.0311756 | Time: 2850.81 ms
[2022-03-31 20:32:28 main:574] : INFO : Epoch 1886 | loss: 0.0311182 | val_loss: 0.0311702 | Time: 2765.94 ms
[2022-03-31 20:32:30 main:574] : INFO : Epoch 1887 | loss: 0.0311142 | val_loss: 0.0311692 | Time: 2801.58 ms
[2022-03-31 20:32:33 main:574] : INFO : Epoch 1888 | loss: 0.031115 | val_loss: 0.0311646 | Time: 2855.2 ms
[2022-03-31 20:32:36 main:574] : INFO : Epoch 1889 | loss: 0.031114 | val_loss: 0.0311663 | Time: 2724.14 ms
[2022-03-31 20:32:39 main:574] : INFO : Epoch 1890 | loss: 0.0311133 | val_loss: 0.0311701 | Time: 2739.99 ms
[2022-03-31 20:32:42 main:574] : INFO : Epoch 1891 | loss: 0.0311116 | val_loss: 0.0311627 | Time: 2787.34 ms
[2022-03-31 20:32:44 main:574] : INFO : Epoch 1892 | loss: 0.0311143 | val_loss: 0.0311653 | Time: 2923.47 ms
[2022-03-31 20:32:47 main:574] : INFO : Epoch 1893 | loss: 0.0311139 | val_loss: 0.0311731 | Time: 2803.27 ms
[2022-03-31 20:32:50 main:574] : INFO : Epoch 1894 | loss: 0.031113 | val_loss: 0.0311716 | Time: 2712.58 ms
[2022-03-31 20:32:53 main:574] : INFO : Epoch 1895 | loss: 0.0311097 | val_loss: 0.0311702 | Time: 2789.53 ms
[2022-03-31 20:32:56 main:574] : INFO : Epoch 1896 | loss: 0.0311088 | val_loss: 0.0311658 | Time: 2799.44 ms
[2022-03-31 20:32:58 main:574] : INFO : Epoch 1897 | loss: 0.0311083 | val_loss: 0.0311699 | Time: 2804.28 ms
[2022-03-31 20:33:01 main:574] : INFO : Epoch 1898 | loss: 0.0311063 | val_loss: 0.0311783 | Time: 2735.92 ms
[2022-03-31 20:33:04 main:574] : INFO : Epoch 1899 | loss: 0.031106 | val_loss: 0.0311717 | Time: 2819.31 ms
[2022-03-31 20:33:07 main:574] : INFO : Epoch 1900 | loss: 0.0311065 | val_loss: 0.0311677 | Time: 2729.02 ms
[2022-03-31 20:33:09 main:574] : INFO : Epoch 1901 | loss: 0.0311055 | val_loss: 0.0311673 | Time: 2765.8 ms
[2022-03-31 20:33:12 main:574] : INFO : Epoch 1902 | loss: 0.0311035 | val_loss: 0.0311757 | Time: 2743.94 ms
[2022-03-31 20:33:15 main:574] : INFO : Epoch 1903 | loss: 0.0311049 | val_loss: 0.0311679 | Time: 2888.98 ms
[2022-03-31 20:33:18 main:574] : INFO : Epoch 1904 | loss: 0.0311052 | val_loss: 0.0311662 | Time: 2860.47 ms
[2022-03-31 20:33:21 main:574] : INFO : Epoch 1905 | loss: 0.0311068 | val_loss: 0.0311643 | Time: 2810.94 ms
[2022-03-31 20:33:24 main:574] : INFO : Epoch 1906 | loss: 0.0311084 | val_loss: 0.0311675 | Time: 2836.58 ms
[2022-03-31 20:33:26 main:574] : INFO : Epoch 1907 | loss: 0.0311088 | val_loss: 0.0311653 | Time: 2842.01 ms
[2022-03-31 20:33:29 main:574] : INFO : Epoch 1908 | loss: 0.0311096 | val_loss: 0.0311675 | Time: 2807.4 ms
[2022-03-31 20:33:32 main:574] : INFO : Epoch 1909 | loss: 0.0311115 | val_loss: 0.0311665 | Time: 2833.79 ms
[2022-03-31 20:33:35 main:574] : INFO : Epoch 1910 | loss: 0.0311091 | val_loss: 0.0311664 | Time: 2759.85 ms
[2022-03-31 20:33:38 main:574] : INFO : Epoch 1911 | loss: 0.0311094 | val_loss: 0.0311656 | Time: 2789.17 ms
[2022-03-31 20:33:40 main:574] : INFO : Epoch 1912 | loss: 0.031108 | val_loss: 0.0311697 | Time: 2714.43 ms
[2022-03-31 20:33:43 main:574] : INFO : Epoch 1913 | loss: 0.0311074 | val_loss: 0.0311677 | Time: 2861.39 ms
[2022-03-31 20:33:46 main:574] : INFO : Epoch 1914 | loss: 0.0311046 | val_loss: 0.0311788 | Time: 2811.95 ms
[2022-03-31 20:33:49 main:574] : INFO : Epoch 1915 | loss: 0.0311043 | val_loss: 0.0311661 | Time: 2793.03 ms
[2022-03-31 20:33:52 main:574] : INFO : Epoch 1916 | loss: 0.0311034 | val_loss: 0.0311678 | Time: 2788.05 ms
[2022-03-31 20:33:54 main:574] : INFO : Epoch 1917 | loss: 0.0311047 | val_loss: 0.0311785 | Time: 2825.46 ms
[2022-03-31 20:33:57 main:574] : INFO : Epoch 1918 | loss: 0.0311069 | val_loss: 0.0311737 | Time: 2760.66 ms
[2022-03-31 20:34:00 main:574] : INFO : Epoch 1919 | loss: 0.0311111 | val_loss: 0.0311705 | Time: 2855.26 ms
[2022-03-31 20:34:03 main:574] : INFO : Epoch 1920 | loss: 0.0311076 | val_loss: 0.0311703 | Time: 2849.32 ms
[2022-03-31 20:34:06 main:574] : INFO : Epoch 1921 | loss: 0.031107 | val_loss: 0.0311634 | Time: 2800.52 ms
[2022-03-31 20:34:09 main:574] : INFO : Epoch 1922 | loss: 0.0311063 | val_loss: 0.0311662 | Time: 2864.86 ms
[2022-03-31 20:34:11 main:574] : INFO : Epoch 1923 | loss: 0.0311058 | val_loss: 0.0311642 | Time: 2788.8 ms
[2022-03-31 20:34:14 main:574] : INFO : Epoch 1924 | loss: 0.0311077 | val_loss: 0.0311713 | Time: 2772.62 ms
[2022-03-31 20:34:17 main:574] : INFO : Epoch 1925 | loss: 0.0311289 | val_loss: 0.0311585 | Time: 2891.72 ms
[2022-03-31 20:34:20 main:574] : INFO : Epoch 1926 | loss: 0.0311298 | val_loss: 0.0311574 | Time: 2800.87 ms
[2022-03-31 20:34:23 main:574] : INFO : Epoch 1927 | loss: 0.0311314 | val_loss: 0.0311628 | Time: 2799.93 ms
[2022-03-31 20:34:26 main:574] : INFO : Epoch 1928 | loss: 0.0311259 | val_loss: 0.0311629 | Time: 3034.9 ms
[2022-03-31 20:34:29 main:574] : INFO : Epoch 1929 | loss: 0.0311213 | val_loss: 0.0311593 | Time: 2784.79 ms
[2022-03-31 20:34:31 main:574] : INFO : Epoch 1930 | loss: 0.0311209 | val_loss: 0.0311607 | Time: 2886.63 ms
[2022-03-31 20:34:34 main:574] : INFO : Epoch 1931 | loss: 0.031117 | val_loss: 0.0311632 | Time: 2821.64 ms
[2022-03-31 20:34:37 main:574] : INFO : Epoch 1932 | loss: 0.0311139 | val_loss: 0.0311622 | Time: 2841.31 ms
[2022-03-31 20:34:40 main:574] : INFO : Epoch 1933 | loss: 0.0311143 | val_loss: 0.0311667 | Time: 2941.63 ms
[2022-03-31 20:34:43 main:574] : INFO : Epoch 1934 | loss: 0.0311134 | val_loss: 0.031171 | Time: 2819.87 ms
[2022-03-31 20:34:46 main:574] : INFO : Epoch 1935 | loss: 0.0311201 | val_loss: 0.0311678 | Time: 2834.97 ms
[2022-03-31 20:34:48 main:574] : INFO : Epoch 1936 | loss: 0.0311145 | val_loss: 0.0311642 | Time: 2791.74 ms
[2022-03-31 20:34:51 main:574] : INFO : Epoch 1937 | loss: 0.0311121 | val_loss: 0.0311675 | Time: 2735.77 ms
[2022-03-31 20:34:54 main:574] : INFO : Epoch 1938 | loss: 0.0311116 | val_loss: 0.0311682 | Time: 2811.23 ms
[2022-03-31 20:34:57 main:574] : INFO : Epoch 1939 | loss: 0.0311092 | val_loss: 0.031163 | Time: 2815.07 ms
[2022-03-31 20:35:00 main:574] : INFO : Epoch 1940 | loss: 0.0311085 | val_loss: 0.0311707 | Time: 2784.83 ms
[2022-03-31 20:35:02 main:574] : INFO : Epoch 1941 | loss: 0.0311092 | val_loss: 0.0311685 | Time: 2824.7 ms
[2022-03-31 20:35:05 main:574] : INFO : Epoch 1942 | loss: 0.0311085 | val_loss: 0.0311666 | Time: 2886.79 ms
[2022-03-31 20:35:08 main:574] : INFO : Epoch 1943 | loss: 0.0311142 | val_loss: 0.0311632 | Time: 2821.47 ms
[2022-03-31 20:35:11 main:574] : INFO : Epoch 1944 | loss: 0.0311158 | val_loss: 0.0311614 | Time: 2816.11 ms
[2022-03-31 20:35:14 main:574] : INFO : Epoch 1945 | loss: 0.0311214 | val_loss: 0.031162 | Time: 2894.05 ms
[2022-03-31 20:35:17 main:574] : INFO : Epoch 1946 | loss: 0.0311173 | val_loss: 0.0311625 | Time: 2850.56 ms
[2022-03-31 20:35:20 main:574] : INFO : Epoch 1947 | loss: 0.0311129 | val_loss: 0.0311647 | Time: 3096.74 ms
[2022-03-31 20:35:23 main:574] : INFO : Epoch 1948 | loss: 0.0311094 | val_loss: 0.0311647 | Time: 2818.14 ms
[2022-03-31 20:35:26 main:574] : INFO : Epoch 1949 | loss: 0.0311072 | val_loss: 0.0311651 | Time: 2933.54 ms
[2022-03-31 20:35:28 main:574] : INFO : Epoch 1950 | loss: 0.0311087 | val_loss: 0.0311678 | Time: 2794.88 ms
[2022-03-31 20:35:31 main:574] : INFO : Epoch 1951 | loss: 0.0311088 | val_loss: 0.0311711 | Time: 2722.06 ms
[2022-03-31 20:35:34 main:574] : INFO : Epoch 1952 | loss: 0.0311093 | val_loss: 0.0311696 | Time: 2852.66 ms
[2022-03-31 20:35:37 main:574] : INFO : Epoch 1953 | loss: 0.0311065 | val_loss: 0.0311721 | Time: 2830.56 ms
[2022-03-31 20:35:40 main:574] : INFO : Epoch 1954 | loss: 0.0311087 | val_loss: 0.0311692 | Time: 2785.22 ms
[2022-03-31 20:35:42 main:574] : INFO : Epoch 1955 | loss: 0.0311103 | val_loss: 0.0311711 | Time: 2762.24 ms
[2022-03-31 20:35:45 main:574] : INFO : Epoch 1956 | loss: 0.0311051 | val_loss: 0.0311733 | Time: 2789.79 ms
[2022-03-31 20:35:48 main:574] : INFO : Epoch 1957 | loss: 0.031105 | val_loss: 0.0311704 | Time: 2751.27 ms
[2022-03-31 20:35:51 main:574] : INFO : Epoch 1958 | loss: 0.0311052 | val_loss: 0.0311718 | Time: 2839.01 ms
[2022-03-31 20:35:54 main:574] : INFO : Epoch 1959 | loss: 0.0311107 | val_loss: 0.0311701 | Time: 2813.83 ms
[2022-03-31 20:35:56 main:574] : INFO : Epoch 1960 | loss: 0.0311103 | val_loss: 0.0311658 | Time: 2864.42 ms
[2022-03-31 20:35:59 main:574] : INFO : Epoch 1961 | loss: 0.0311119 | val_loss: 0.0311715 | Time: 2794.75 ms
[2022-03-31 20:36:02 main:574] : INFO : Epoch 1962 | loss: 0.0311087 | val_loss: 0.0311743 | Time: 2756.07 ms
[2022-03-31 20:36:05 main:574] : INFO : Epoch 1963 | loss: 0.0311048 | val_loss: 0.0311692 | Time: 2795.06 ms
[2022-03-31 20:36:08 main:574] : INFO : Epoch 1964 | loss: 0.0311104 | val_loss: 0.0311682 | Time: 2820.72 ms
[2022-03-31 20:36:10 main:574] : INFO : Epoch 1965 | loss: 0.0311276 | val_loss: 0.031167 | Time: 2783.44 ms
[2022-03-31 20:36:13 main:574] : INFO : Epoch 1966 | loss: 0.0311246 | val_loss: 0.0311703 | Time: 2753.48 ms
[2022-03-31 20:36:16 main:574] : INFO : Epoch 1967 | loss: 0.0311184 | val_loss: 0.0311667 | Time: 2842.33 ms
[2022-03-31 20:36:19 main:574] : INFO : Epoch 1968 | loss: 0.0311133 | val_loss: 0.0311605 | Time: 2761.01 ms
[2022-03-31 20:36:22 main:574] : INFO : Epoch 1969 | loss: 0.0311103 | val_loss: 0.0311653 | Time: 2809.87 ms
[2022-03-31 20:36:24 main:574] : INFO : Epoch 1970 | loss: 0.0311164 | val_loss: 0.0311676 | Time: 2809.41 ms
[2022-03-31 20:36:27 main:574] : INFO : Epoch 1971 | loss: 0.0311176 | val_loss: 0.0311695 | Time: 2793.74 ms
[2022-03-31 20:36:30 main:574] : INFO : Epoch 1972 | loss: 0.0311173 | val_loss: 0.0311659 | Time: 2827.56 ms
[2022-03-31 20:36:33 main:574] : INFO : Epoch 1973 | loss: 0.0311193 | val_loss: 0.0311685 | Time: 2848.53 ms
[2022-03-31 20:36:36 main:574] : INFO : Epoch 1974 | loss: 0.0311103 | val_loss: 0.0311686 | Time: 2788.64 ms
[2022-03-31 20:36:39 main:574] : INFO : Epoch 1975 | loss: 0.0311085 | val_loss: 0.0311716 | Time: 2811.07 ms
[2022-03-31 20:36:41 main:574] : INFO : Epoch 1976 | loss: 0.0311053 | val_loss: 0.0311675 | Time: 2801.26 ms
[2022-03-31 20:36:44 main:574] : INFO : Epoch 1977 | loss: 0.0311048 | val_loss: 0.0311741 | Time: 2859.47 ms
[2022-03-31 20:36:47 main:574] : INFO : Epoch 1978 | loss: 0.0311063 | val_loss: 0.0311699 | Time: 2825.09 ms
[2022-03-31 20:36:50 main:574] : INFO : Epoch 1979 | loss: 0.0311137 | val_loss: 0.0311647 | Time: 2870.18 ms
[2022-03-31 20:36:53 main:574] : INFO : Epoch 1980 | loss: 0.0311097 | val_loss: 0.0311721 | Time: 2813.68 ms
[2022-03-31 20:36:56 main:574] : INFO : Epoch 1981 | loss: 0.031113 | val_loss: 0.0311787 | Time: 2760.73 ms
[2022-03-31 20:36:58 main:574] : INFO : Epoch 1982 | loss: 0.0311139 | val_loss: 0.0311794 | Time: 2877.34 ms
[2022-03-31 20:37:01 main:574] : INFO : Epoch 1983 | loss: 0.0311092 | val_loss: 0.0311842 | Time: 2820.1 ms
[2022-03-31 20:37:04 main:574] : INFO : Epoch 1984 | loss: 0.031113 | val_loss: 0.0311737 | Time: 2751.46 ms
[2022-03-31 20:37:07 main:574] : INFO : Epoch 1985 | loss: 0.0311093 | val_loss: 0.0311647 | Time: 2761.77 ms
[2022-03-31 20:37:10 main:574] : INFO : Epoch 1986 | loss: 0.031108 | val_loss: 0.0311738 | Time: 2800.01 ms
[2022-03-31 20:37:12 main:574] : INFO : Epoch 1987 | loss: 0.031108 | val_loss: 0.0311687 | Time: 2910.75 ms
[2022-03-31 20:37:15 main:574] : INFO : Epoch 1988 | loss: 0.0311057 | val_loss: 0.0311707 | Time: 2780.2 ms
[2022-03-31 20:37:18 main:574] : INFO : Epoch 1989 | loss: 0.0311048 | val_loss: 0.0311687 | Time: 2773.1 ms
[2022-03-31 20:37:21 main:574] : INFO : Epoch 1990 | loss: 0.0311067 | val_loss: 0.0311716 | Time: 2771.89 ms
[2022-03-31 20:37:24 main:574] : INFO : Epoch 1991 | loss: 0.0311068 | val_loss: 0.0311638 | Time: 2759.04 ms
[2022-03-31 20:37:26 main:574] : INFO : Epoch 1992 | loss: 0.0311085 | val_loss: 0.0311657 | Time: 2845.21 ms
[2022-03-31 20:37:29 main:574] : INFO : Epoch 1993 | loss: 0.0311108 | val_loss: 0.0311736 | Time: 2771.65 ms
[2022-03-31 20:37:32 main:574] : INFO : Epoch 1994 | loss: 0.0311097 | val_loss: 0.0311666 | Time: 2714.5 ms
[2022-03-31 20:37:35 main:574] : INFO : Epoch 1995 | loss: 0.0311088 | val_loss: 0.0311635 | Time: 2787.99 ms
[2022-03-31 20:37:38 main:574] : INFO : Epoch 1996 | loss: 0.0311086 | val_loss: 0.0311747 | Time: 2785.41 ms
[2022-03-31 20:37:40 main:574] : INFO : Epoch 1997 | loss: 0.0311066 | val_loss: 0.0311795 | Time: 2702.72 ms
[2022-03-31 20:37:43 main:574] : INFO : Epoch 1998 | loss: 0.0311053 | val_loss: 0.0311658 | Time: 2786.73 ms
[2022-03-31 20:37:46 main:574] : INFO : Epoch 1999 | loss: 0.0311028 | val_loss: 0.031174 | Time: 2840.48 ms
[2022-03-31 20:37:49 main:574] : INFO : Epoch 2000 | loss: 0.031103 | val_loss: 0.0311739 | Time: 2805.4 ms
[2022-03-31 20:37:51 main:574] : INFO : Epoch 2001 | loss: 0.0311047 | val_loss: 0.0311733 | Time: 2798.53 ms
[2022-03-31 20:37:54 main:574] : INFO : Epoch 2002 | loss: 0.0311034 | val_loss: 0.0311714 | Time: 2757.44 ms
[2022-03-31 20:37:57 main:574] : INFO : Epoch 2003 | loss: 0.0311035 | val_loss: 0.0311701 | Time: 2796.96 ms
[2022-03-31 20:38:00 main:574] : INFO : Epoch 2004 | loss: 0.0311031 | val_loss: 0.0311748 | Time: 2773.5 ms
[2022-03-31 20:38:03 main:574] : INFO : Epoch 2005 | loss: 0.0311037 | val_loss: 0.0311721 | Time: 2766.62 ms
[2022-03-31 20:38:05 main:574] : INFO : Epoch 2006 | loss: 0.0311035 | val_loss: 0.0311697 | Time: 2780.08 ms
[2022-03-31 20:38:08 main:574] : INFO : Epoch 2007 | loss: 0.0311043 | val_loss: 0.0311678 | Time: 2812.15 ms
[2022-03-31 20:38:11 main:574] : INFO : Epoch 2008 | loss: 0.0311059 | val_loss: 0.0311658 | Time: 2758.54 ms
[2022-03-31 20:38:14 main:574] : INFO : Epoch 2009 | loss: 0.0311069 | val_loss: 0.0311626 | Time: 2851.7 ms
[2022-03-31 20:38:17 main:574] : INFO : Epoch 2010 | loss: 0.0311048 | val_loss: 0.031174 | Time: 2839.48 ms
[2022-03-31 20:38:19 main:574] : INFO : Epoch 2011 | loss: 0.0311035 | val_loss: 0.0311716 | Time: 2787.13 ms
[2022-03-31 20:38:22 main:574] : INFO : Epoch 2012 | loss: 0.0311042 | val_loss: 0.0311699 | Time: 2802.24 ms
[2022-03-31 20:38:25 main:574] : INFO : Epoch 2013 | loss: 0.0311043 | val_loss: 0.0311636 | Time: 2805.24 ms
[2022-03-31 20:38:28 main:574] : INFO : Epoch 2014 | loss: 0.0311046 | val_loss: 0.0311725 | Time: 2797.25 ms
[2022-03-31 20:38:31 main:574] : INFO : Epoch 2015 | loss: 0.0311023 | val_loss: 0.0311726 | Time: 2846.54 ms
[2022-03-31 20:38:34 main:574] : INFO : Epoch 2016 | loss: 0.0311015 | val_loss: 0.0311679 | Time: 2798.37 ms
[2022-03-31 20:38:36 main:574] : INFO : Epoch 2017 | loss: 0.0311055 | val_loss: 0.0311707 | Time: 2843.98 ms
[2022-03-31 20:38:39 main:574] : INFO : Epoch 2018 | loss: 0.0311062 | val_loss: 0.0311735 | Time: 2706.24 ms
[2022-03-31 20:38:42 main:574] : INFO : Epoch 2019 | loss: 0.0311025 | val_loss: 0.0311663 | Time: 2815.71 ms
[2022-03-31 20:38:45 main:574] : INFO : Epoch 2020 | loss: 0.0311042 | val_loss: 0.0311672 | Time: 2813.13 ms
[2022-03-31 20:38:48 main:574] : INFO : Epoch 2021 | loss: 0.0311065 | val_loss: 0.0311821 | Time: 2819.7 ms
[2022-03-31 20:38:50 main:574] : INFO : Epoch 2022 | loss: 0.0311089 | val_loss: 0.0311599 | Time: 2823.61 ms
[2022-03-31 20:38:53 main:574] : INFO : Epoch 2023 | loss: 0.0311087 | val_loss: 0.0311668 | Time: 2790.67 ms
[2022-03-31 20:38:56 main:574] : INFO : Epoch 2024 | loss: 0.0311029 | val_loss: 0.0311711 | Time: 2762.95 ms
[2022-03-31 20:38:59 main:574] : INFO : Epoch 2025 | loss: 0.031112 | val_loss: 0.0311645 | Time: 2795.66 ms
[2022-03-31 20:39:02 main:574] : INFO : Epoch 2026 | loss: 0.0311122 | val_loss: 0.0311699 | Time: 2772.6 ms
[2022-03-31 20:39:04 main:574] : INFO : Epoch 2027 | loss: 0.0311106 | val_loss: 0.0311698 | Time: 2830.77 ms
[2022-03-31 20:39:07 main:574] : INFO : Epoch 2028 | loss: 0.0311062 | val_loss: 0.0311701 | Time: 2810.72 ms
[2022-03-31 20:39:10 main:574] : INFO : Epoch 2029 | loss: 0.0311089 | val_loss: 0.0311742 | Time: 2795.38 ms
[2022-03-31 20:39:13 main:574] : INFO : Epoch 2030 | loss: 0.0311141 | val_loss: 0.0311749 | Time: 2755.31 ms
[2022-03-31 20:39:15 main:574] : INFO : Epoch 2031 | loss: 0.0311138 | val_loss: 0.0311685 | Time: 2762.68 ms
[2022-03-31 20:39:18 main:574] : INFO : Epoch 2032 | loss: 0.0311094 | val_loss: 0.0311645 | Time: 2789.3 ms
[2022-03-31 20:39:21 main:574] : INFO : Epoch 2033 | loss: 0.0311166 | val_loss: 0.0311623 | Time: 2739.8 ms
[2022-03-31 20:39:24 main:574] : INFO : Epoch 2034 | loss: 0.0311138 | val_loss: 0.0311691 | Time: 2817.41 ms
[2022-03-31 20:39:27 main:574] : INFO : Epoch 2035 | loss: 0.0311147 | val_loss: 0.0311699 | Time: 2820.04 ms
[2022-03-31 20:39:30 main:574] : INFO : Epoch 2036 | loss: 0.0311101 | val_loss: 0.0311699 | Time: 2906.08 ms
[2022-03-31 20:39:32 main:574] : INFO : Epoch 2037 | loss: 0.0311078 | val_loss: 0.0311668 | Time: 2852.36 ms
[2022-03-31 20:39:35 main:574] : INFO : Epoch 2038 | loss: 0.0311127 | val_loss: 0.0311613 | Time: 2831.76 ms
[2022-03-31 20:39:38 main:574] : INFO : Epoch 2039 | loss: 0.0311111 | val_loss: 0.0311698 | Time: 2752.23 ms
[2022-03-31 20:39:41 main:574] : INFO : Epoch 2040 | loss: 0.0311079 | val_loss: 0.0311692 | Time: 2830.42 ms
[2022-03-31 20:39:44 main:574] : INFO : Epoch 2041 | loss: 0.0311064 | val_loss: 0.031169 | Time: 2854.23 ms
[2022-03-31 20:39:46 main:574] : INFO : Epoch 2042 | loss: 0.0311059 | val_loss: 0.0311686 | Time: 2748.17 ms
[2022-03-31 20:39:49 main:574] : INFO : Epoch 2043 | loss: 0.0311052 | val_loss: 0.0311681 | Time: 2763.81 ms
[2022-03-31 20:39:52 main:574] : INFO : Epoch 2044 | loss: 0.0311059 | val_loss: 0.0311669 | Time: 2755.22 ms
[2022-03-31 20:39:55 main:574] : INFO : Epoch 2045 | loss: 0.03111 | val_loss: 0.0311674 | Time: 2740.6 ms
[2022-03-31 20:39:58 main:574] : INFO : Epoch 2046 | loss: 0.0311044 | val_loss: 0.0311689 | Time: 2825 ms
[2022-03-31 20:40:00 main:574] : INFO : Epoch 2047 | loss: 0.0311025 | val_loss: 0.0311709 | Time: 2765.72 ms
[2022-03-31 20:40:03 main:574] : INFO : Epoch 2048 | loss: 0.0311023 | val_loss: 0.0311689 | Time: 2807.18 ms
[2022-03-31 20:40:03 main:597] : INFO : Saving trained model to model-final.pt, val_loss 0.0311689
[2022-03-31 20:40:03 main:603] : INFO : Saving end state to config to file
[2022-03-31 20:40:03 main:608] : INFO : Success, exiting..
20:40:03 (1112): 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)