Task 11182385
| Name | ParityModified-1639951154-23079-3-0_0 |
| Workunit | 8458386 |
| Created | 30 Jan 2022, 17:35:49 UTC |
| Sent | 15 Feb 2022, 14:46:04 UTC |
| Report deadline | 23 Feb 2022, 14:46:04 UTC |
| Received | 14 Mar 2022, 2:30:15 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 14113 |
| Run time | 8 hours 44 min 29 sec |
| CPU time | 8 hours 26 min 34 sec |
| Validate state | Task was reported too late to validate |
| Credit | 0.00 |
| Device peak FLOPS | 8,298.42 GFLOPS |
| Application version | Machine Learning Dataset Generator (GPU) v9.75 (cuda10200) windows_x86_64 |
| Peak working set size | 2.90 GB |
| Peak swap size | 4.67 GB |
| Peak disk usage | 1.54 GB |
Stderr output
<core_client_version>7.16.20</core_client_version> <![CDATA[ <stderr_txt> 0:16 main:574] : INFO : Epoch 1706 | loss: 0.0310899 | val_loss: 0.0311294 | Time: 2679.8 ms [2022-03-12 19:20:19 main:574] : INFO : Epoch 1707 | loss: 0.031089 | val_loss: 0.0311346 | Time: 2974.14 ms [2022-03-12 19:20:22 main:574] : INFO : Epoch 1708 | loss: 0.0310872 | val_loss: 0.0311282 | Time: 2712.62 ms [2022-03-12 19:20:25 main:574] : INFO : Epoch 1709 | loss: 0.0310874 | val_loss: 0.0311347 | Time: 2764.47 ms [2022-03-12 19:20:28 main:574] : INFO : Epoch 1710 | loss: 0.0310858 | val_loss: 0.0311276 | Time: 2992.18 ms [2022-03-12 19:20:30 main:574] : INFO : Epoch 1711 | loss: 0.0310872 | val_loss: 0.0311294 | Time: 2676.13 ms [2022-03-12 19:20:33 main:574] : INFO : Epoch 1712 | loss: 0.031085 | val_loss: 0.0311304 | Time: 2961.1 ms [2022-03-12 19:20:36 main:574] : INFO : Epoch 1713 | loss: 0.0310842 | val_loss: 0.0311258 | Time: 2853.32 ms [2022-03-12 19:20:39 main:574] : INFO : Epoch 1714 | loss: 0.031085 | val_loss: 0.0311401 | Time: 2684.71 ms [2022-03-12 19:20:42 main:574] : INFO : Epoch 1715 | loss: 0.0310876 | val_loss: 0.0311277 | Time: 3091.01 ms [2022-03-12 19:20:45 main:574] : INFO : Epoch 1716 | loss: 0.0310856 | val_loss: 0.031129 | Time: 2711.4 ms [2022-03-12 19:20:48 main:574] : INFO : Epoch 1717 | loss: 0.0310871 | val_loss: 0.0311282 | Time: 2827.46 ms [2022-03-12 19:20:51 main:574] : INFO : Epoch 1718 | loss: 0.031089 | val_loss: 0.0311337 | Time: 2889.36 ms [2022-03-12 19:20:53 main:574] : INFO : Epoch 1719 | loss: 0.031091 | val_loss: 0.0311377 | Time: 2713.82 ms [2022-03-12 19:20:56 main:574] : INFO : Epoch 1720 | loss: 0.0310879 | val_loss: 0.0311258 | Time: 2956.93 ms [2022-03-12 19:20:59 main:574] : INFO : Epoch 1721 | loss: 0.0310885 | val_loss: 0.0311308 | Time: 2832.13 ms [2022-03-12 19:21:02 main:574] : INFO : Epoch 1722 | loss: 0.0310871 | val_loss: 0.0311238 | Time: 2795.09 ms [2022-03-12 19:21:05 main:574] : INFO : Epoch 1723 | loss: 0.0310864 | val_loss: 0.03113 | Time: 2972.97 ms [2022-03-12 19:21:08 main:574] : INFO : Epoch 1724 | loss: 0.0310872 | val_loss: 0.0311269 | Time: 2780.53 ms [2022-03-12 19:21:10 main:574] : INFO : Epoch 1725 | loss: 0.0310864 | val_loss: 0.0311324 | Time: 2891.28 ms [2022-03-12 19:21:13 main:574] : INFO : Epoch 1726 | loss: 0.0310879 | val_loss: 0.0311336 | Time: 2892.53 ms [2022-03-12 19:21:16 main:574] : INFO : Epoch 1727 | loss: 0.0310942 | val_loss: 0.0311396 | Time: 2703.26 ms [2022-03-12 19:21:19 main:574] : INFO : Epoch 1728 | loss: 0.0310931 | val_loss: 0.0311326 | Time: 2986.83 ms [2022-03-12 19:21:22 main:574] : INFO : Epoch 1729 | loss: 0.0310903 | val_loss: 0.0311346 | Time: 2829.59 ms [2022-03-12 19:21:25 main:574] : INFO : Epoch 1730 | loss: 0.0310878 | val_loss: 0.0311408 | Time: 2856.76 ms [2022-03-12 19:21:28 main:574] : INFO : Epoch 1731 | loss: 0.0310874 | val_loss: 0.0311316 | Time: 2930.84 ms [2022-03-12 19:21:30 main:574] : INFO : Epoch 1732 | loss: 0.0310889 | val_loss: 0.0311308 | Time: 2715.92 ms [2022-03-12 19:21:33 main:574] : INFO : Epoch 1733 | loss: 0.0310899 | val_loss: 0.0311387 | Time: 2887.19 ms [2022-03-12 19:21:36 main:574] : INFO : Epoch 1734 | loss: 0.0310896 | val_loss: 0.0311322 | Time: 2867.84 ms [2022-03-12 19:21:39 main:574] : INFO : Epoch 1735 | loss: 0.0310862 | val_loss: 0.0311277 | Time: 2720.88 ms [2022-03-12 19:21:42 main:574] : INFO : Epoch 1736 | loss: 0.031086 | val_loss: 0.0311304 | Time: 2959.39 ms [2022-03-12 19:21:45 main:574] : INFO : Epoch 1737 | loss: 0.0310875 | val_loss: 0.0311262 | Time: 2756.57 ms [2022-03-12 19:21:48 main:574] : INFO : Epoch 1738 | loss: 0.0310909 | val_loss: 0.0311305 | Time: 2843.15 ms [2022-03-12 19:21:50 main:574] : INFO : Epoch 1739 | loss: 0.0310892 | val_loss: 0.031135 | Time: 2872.68 ms [2022-03-12 19:21:53 main:574] : INFO : Epoch 1740 | loss: 0.0310904 | val_loss: 0.0311316 | Time: 2769 ms [2022-03-12 19:21:56 main:574] : INFO : Epoch 1741 | loss: 0.0310923 | val_loss: 0.0311321 | Time: 2847.59 ms [2022-03-12 19:21:59 main:574] : INFO : Epoch 1742 | loss: 0.031088 | val_loss: 0.0311354 | Time: 2769.64 ms [2022-03-12 19:22:02 main:574] : INFO : Epoch 1743 | loss: 0.0310861 | val_loss: 0.0311334 | Time: 2825.86 ms [2022-03-12 19:22:05 main:574] : INFO : Epoch 1744 | loss: 0.0310859 | val_loss: 0.0311325 | Time: 2933.46 ms [2022-03-12 19:22:07 main:574] : INFO : Epoch 1745 | loss: 0.031085 | val_loss: 0.0311325 | Time: 2825.82 ms [2022-03-12 19:22:10 main:574] : INFO : Epoch 1746 | loss: 0.031088 | val_loss: 0.0311355 | Time: 2875.54 ms [2022-03-12 19:22:13 main:574] : INFO : Epoch 1747 | loss: 0.0311035 | val_loss: 0.0311373 | Time: 2865.29 ms [2022-03-12 19:22:16 main:574] : INFO : Epoch 1748 | loss: 0.0311147 | val_loss: 0.0311364 | Time: 2737.43 ms [2022-03-12 19:22:19 main:574] : INFO : Epoch 1749 | loss: 0.0311103 | val_loss: 0.0311371 | Time: 2895.98 ms [2022-03-12 19:22:22 main:574] : INFO : Epoch 1750 | loss: 0.0311042 | val_loss: 0.0311343 | Time: 2917.2 ms [2022-03-12 19:22:24 main:574] : INFO : Epoch 1751 | loss: 0.0311003 | val_loss: 0.0311317 | Time: 2664.94 ms [2022-03-12 19:22:27 main:574] : INFO : Epoch 1752 | loss: 0.0311005 | val_loss: 0.0311321 | Time: 2962.72 ms [2022-03-12 19:22:30 main:574] : INFO : Epoch 1753 | loss: 0.0310971 | val_loss: 0.0311301 | Time: 2817.24 ms [2022-03-12 19:22:33 main:574] : INFO : Epoch 1754 | loss: 0.031096 | val_loss: 0.0311328 | Time: 2850.41 ms [2022-03-12 19:22:36 main:574] : INFO : Epoch 1755 | loss: 0.0310935 | val_loss: 0.031133 | Time: 2930.5 ms [2022-03-12 19:22:39 main:574] : INFO : Epoch 1756 | loss: 0.0310971 | val_loss: 0.0311324 | Time: 2722.12 ms [2022-03-12 19:22:42 main:574] : INFO : Epoch 1757 | loss: 0.031094 | val_loss: 0.0311299 | Time: 2873.92 ms [2022-03-12 19:22:44 main:574] : INFO : Epoch 1758 | loss: 0.031094 | val_loss: 0.0311345 | Time: 2874.3 ms [2022-03-12 19:22:47 main:574] : INFO : Epoch 1759 | loss: 0.0310954 | val_loss: 0.0311295 | Time: 2734.54 ms [2022-03-12 19:22:50 main:574] : INFO : Epoch 1760 | loss: 0.0310952 | val_loss: 0.0311269 | Time: 2891.47 ms [2022-03-12 19:22:53 main:574] : INFO : Epoch 1761 | loss: 0.0310919 | val_loss: 0.0311324 | Time: 2790.43 ms [2022-03-12 19:22:56 main:574] : INFO : Epoch 1762 | loss: 0.0310921 | val_loss: 0.0311353 | Time: 2799.93 ms [2022-03-12 19:22:59 main:574] : INFO : Epoch 1763 | loss: 0.0310906 | val_loss: 0.0311375 | Time: 2913.6 ms [2022-03-12 19:23:01 main:574] : INFO : Epoch 1764 | loss: 0.0310877 | val_loss: 0.0311348 | Time: 2711.53 ms [2022-03-12 19:23:04 main:574] : INFO : Epoch 1765 | loss: 0.0310908 | val_loss: 0.0311309 | Time: 2951.51 ms [2022-03-12 19:23:07 main:574] : INFO : Epoch 1766 | loss: 0.0310918 | val_loss: 0.0311351 | Time: 2889.7 ms [2022-03-12 19:23:10 main:574] : INFO : Epoch 1767 | loss: 0.0310992 | val_loss: 0.0311292 | Time: 2760.8 ms [2022-03-12 19:23:13 main:574] : INFO : Epoch 1768 | loss: 0.0310983 | val_loss: 0.0311268 | Time: 2983.81 ms [2022-03-12 19:23:16 main:574] : INFO : Epoch 1769 | loss: 0.0310942 | val_loss: 0.0311333 | Time: 2770.65 ms [2022-03-12 19:23:19 main:574] : INFO : Epoch 1770 | loss: 0.0310898 | val_loss: 0.031136 | Time: 2831.78 ms [2022-03-12 19:23:21 main:574] : INFO : Epoch 1771 | loss: 0.0310907 | val_loss: 0.0311309 | Time: 2901.27 ms [2022-03-12 19:23:24 main:574] : INFO : Epoch 1772 | loss: 0.0310881 | val_loss: 0.031136 | Time: 2675.19 ms [2022-03-12 19:23:27 main:574] : INFO : Epoch 1773 | loss: 0.0310872 | val_loss: 0.031129 | Time: 2976.7 ms [2022-03-12 19:23:30 main:574] : INFO : Epoch 1774 | loss: 0.0310861 | val_loss: 0.0311311 | Time: 2719.07 ms [2022-03-12 19:23:33 main:574] : INFO : Epoch 1775 | loss: 0.031088 | val_loss: 0.0311406 | Time: 2960.45 ms [2022-03-12 19:23:36 main:574] : INFO : Epoch 1776 | loss: 0.0310879 | val_loss: 0.0311325 | Time: 3146.28 ms [2022-03-12 19:23:39 main:574] : INFO : Epoch 1777 | loss: 0.0310876 | val_loss: 0.0311359 | Time: 2785.97 ms [2022-03-12 19:23:42 main:574] : INFO : Epoch 1778 | loss: 0.0310895 | val_loss: 0.0311395 | Time: 2959.73 ms [2022-03-12 19:23:45 main:574] : INFO : Epoch 1779 | loss: 0.0310903 | val_loss: 0.0311321 | Time: 2933.09 ms [2022-03-12 19:23:47 main:574] : INFO : Epoch 1780 | loss: 0.0310893 | val_loss: 0.0311288 | Time: 2644.16 ms [2022-03-12 19:23:50 main:574] : INFO : Epoch 1781 | loss: 0.0310898 | val_loss: 0.0311286 | Time: 2978.59 ms [2022-03-12 19:23:53 main:574] : INFO : Epoch 1782 | loss: 0.0310881 | val_loss: 0.0311264 | Time: 2849.87 ms [2022-03-12 19:23:56 main:574] : INFO : Epoch 1783 | loss: 0.0310878 | val_loss: 0.0311325 | Time: 2775.04 ms [2022-03-12 19:23:59 main:574] : INFO : Epoch 1784 | loss: 0.0310861 | val_loss: 0.0311312 | Time: 2973.28 ms [2022-03-12 19:24:02 main:574] : INFO : Epoch 1785 | loss: 0.0310848 | val_loss: 0.0311308 | Time: 2766.96 ms [2022-03-12 19:24:05 main:574] : INFO : Epoch 1786 | loss: 0.0310867 | val_loss: 0.0311271 | Time: 2920.4 ms [2022-03-12 19:24:07 main:574] : INFO : Epoch 1787 | loss: 0.0310879 | val_loss: 0.0311274 | Time: 2852.98 ms [2022-03-12 19:24:10 main:574] : INFO : Epoch 1788 | loss: 0.0310877 | val_loss: 0.0311394 | Time: 2779.95 ms [2022-03-12 19:24:13 main:574] : INFO : Epoch 1789 | loss: 0.0311025 | val_loss: 0.0311348 | Time: 2915.06 ms [2022-03-12 19:24:16 main:574] : INFO : Epoch 1790 | loss: 0.0311007 | val_loss: 0.0311382 | Time: 2775.13 ms [2022-03-12 19:24:19 main:574] : INFO : Epoch 1791 | loss: 0.0311004 | val_loss: 0.0311348 | Time: 2782.1 ms [2022-03-12 19:24:22 main:574] : INFO : Epoch 1792 | loss: 0.0310955 | val_loss: 0.0311292 | Time: 2938.8 ms [2022-03-12 19:24:24 main:574] : INFO : Epoch 1793 | loss: 0.0310934 | val_loss: 0.0311307 | Time: 2744.48 ms [2022-03-12 19:24:27 main:574] : INFO : Epoch 1794 | loss: 0.0310932 | val_loss: 0.0311298 | Time: 2955.28 ms [2022-03-12 19:24:30 main:574] : INFO : Epoch 1795 | loss: 0.0310911 | val_loss: 0.0311359 | Time: 2837.99 ms [2022-03-12 19:24:33 main:574] : INFO : Epoch 1796 | loss: 0.0310914 | val_loss: 0.031134 | Time: 2736.21 ms [2022-03-12 19:24:36 main:574] : INFO : Epoch 1797 | loss: 0.0310896 | val_loss: 0.0311367 | Time: 2901.66 ms [2022-03-12 19:24:39 main:574] : INFO : Epoch 1798 | loss: 0.0310894 | val_loss: 0.0311343 | Time: 2773.03 ms [2022-03-12 19:24:42 main:574] : INFO : Epoch 1799 | loss: 0.0310891 | val_loss: 0.031131 | Time: 2910.18 ms [2022-03-12 19:24:44 main:574] : INFO : Epoch 1800 | loss: 0.0310903 | val_loss: 0.0311285 | Time: 2891.55 ms [2022-03-12 19:24:47 main:574] : INFO : Epoch 1801 | loss: 0.0310969 | val_loss: 0.0311366 | Time: 2717.88 ms [2022-03-12 19:24:50 main:574] : INFO : Epoch 1802 | loss: 0.0311008 | val_loss: 0.0311354 | Time: 2894.91 ms [2022-03-12 19:24:53 main:574] : INFO : Epoch 1803 | loss: 0.0310975 | val_loss: 0.0311285 | Time: 2827.13 ms [2022-03-12 19:24:56 main:574] : INFO : Epoch 1804 | loss: 0.0310961 | val_loss: 0.0311293 | Time: 2805.44 ms [2022-03-12 19:24:59 main:574] : INFO : Epoch 1805 | loss: 0.0310966 | val_loss: 0.0311306 | Time: 3018.01 ms [2022-03-12 19:25:02 main:574] : INFO : Epoch 1806 | loss: 0.0310954 | val_loss: 0.0311375 | Time: 2877.78 ms [2022-03-12 19:25:04 main:574] : INFO : Epoch 1807 | loss: 0.0310952 | val_loss: 0.0311341 | Time: 2863.01 ms [2022-03-12 19:25:07 main:574] : INFO : Epoch 1808 | loss: 0.0310944 | val_loss: 0.031135 | Time: 2882.78 ms [2022-03-12 19:25:10 main:574] : INFO : Epoch 1809 | loss: 0.0310919 | val_loss: 0.0311369 | Time: 2740.44 ms [2022-03-12 19:25:13 main:574] : INFO : Epoch 1810 | loss: 0.0310917 | val_loss: 0.0311335 | Time: 2907.34 ms [2022-03-12 19:25:16 main:574] : INFO : Epoch 1811 | loss: 0.031089 | val_loss: 0.0311348 | Time: 2907.51 ms [2022-03-12 19:25:19 main:574] : INFO : Epoch 1812 | loss: 0.0310896 | val_loss: 0.0311312 | Time: 2681.67 ms [2022-03-12 19:25:22 main:574] : INFO : Epoch 1813 | loss: 0.0310897 | val_loss: 0.0311346 | Time: 2934.16 ms [2022-03-12 19:25:24 main:574] : INFO : Epoch 1814 | loss: 0.0310879 | val_loss: 0.0311281 | Time: 2793.86 ms [2022-03-12 19:25:27 main:574] : INFO : Epoch 1815 | loss: 0.0310878 | val_loss: 0.0311319 | Time: 2868.07 ms [2022-03-12 19:25:30 main:574] : INFO : Epoch 1816 | loss: 0.0310891 | val_loss: 0.0311358 | Time: 3196.67 ms [2022-03-12 19:25:33 main:574] : INFO : Epoch 1817 | loss: 0.0310867 | val_loss: 0.0311273 | Time: 2634.23 ms [2022-03-12 19:25:36 main:574] : INFO : Epoch 1818 | loss: 0.0310873 | val_loss: 0.0311346 | Time: 2947.3 ms [2022-03-12 19:25:39 main:574] : INFO : Epoch 1819 | loss: 0.0310892 | val_loss: 0.0311297 | Time: 2873.5 ms [2022-03-12 19:25:42 main:574] : INFO : Epoch 1820 | loss: 0.0310892 | val_loss: 0.0311371 | Time: 2676.59 ms [2022-03-12 19:25:45 main:574] : INFO : Epoch 1821 | loss: 0.0310901 | val_loss: 0.0311297 | Time: 3009.87 ms [2022-03-12 19:25:47 main:574] : INFO : Epoch 1822 | loss: 0.031097 | val_loss: 0.0311399 | Time: 2748.45 ms [2022-03-12 19:25:50 main:574] : INFO : Epoch 1823 | loss: 0.031098 | val_loss: 0.0311387 | Time: 2770.23 ms [2022-03-12 19:25:53 main:574] : INFO : Epoch 1824 | loss: 0.0310972 | val_loss: 0.0311348 | Time: 2988.86 ms [2022-03-12 19:25:56 main:574] : INFO : Epoch 1825 | loss: 0.031095 | val_loss: 0.0311303 | Time: 2713.05 ms [2022-03-12 19:25:59 main:574] : INFO : Epoch 1826 | loss: 0.0310926 | val_loss: 0.0311342 | Time: 2885.92 ms [2022-03-12 19:26:02 main:574] : INFO : Epoch 1827 | loss: 0.0310906 | val_loss: 0.0311357 | Time: 2932.2 ms [2022-03-12 19:26:04 main:574] : INFO : Epoch 1828 | loss: 0.0310904 | val_loss: 0.0311341 | Time: 2654.43 ms [2022-03-12 19:26:07 main:574] : INFO : Epoch 1829 | loss: 0.0310906 | val_loss: 0.0311299 | Time: 3068.59 ms [2022-03-12 19:26:10 main:574] : INFO : Epoch 1830 | loss: 0.0310896 | val_loss: 0.0311294 | Time: 2785.77 ms [2022-03-12 19:26:13 main:574] : INFO : Epoch 1831 | loss: 0.0310877 | val_loss: 0.031135 | Time: 2738.29 ms [2022-03-12 19:26:16 main:574] : INFO : Epoch 1832 | loss: 0.0310906 | val_loss: 0.0311352 | Time: 3015.23 ms [2022-03-12 19:26:19 main:574] : INFO : Epoch 1833 | loss: 0.0310919 | val_loss: 0.0311351 | Time: 2679.66 ms [2022-03-12 19:26:22 main:574] : INFO : Epoch 1834 | loss: 0.0310935 | val_loss: 0.0311319 | Time: 2918.7 ms [2022-03-12 19:26:24 main:574] : INFO : Epoch 1835 | loss: 0.0310949 | val_loss: 0.0311401 | Time: 2849.61 ms [2022-03-12 19:26:27 main:574] : INFO : Epoch 1836 | loss: 0.0310927 | val_loss: 0.0311303 | Time: 2680.49 ms [2022-03-12 19:26:30 main:574] : INFO : Epoch 1837 | loss: 0.0310953 | val_loss: 0.0311314 | Time: 3125.14 ms [2022-03-12 19:26:33 main:574] : INFO : Epoch 1838 | loss: 0.031111 | val_loss: 0.0311435 | Time: 2831.9 ms [2022-03-12 19:26:36 main:574] : INFO : Epoch 1839 | loss: 0.0311139 | val_loss: 0.031138 | Time: 2794.86 ms [2022-03-12 19:26:39 main:574] : INFO : Epoch 1840 | loss: 0.0311125 | val_loss: 0.0311323 | Time: 2912.94 ms [2022-03-12 19:26:42 main:574] : INFO : Epoch 1841 | loss: 0.0311045 | val_loss: 0.0311333 | Time: 2719.1 ms [2022-03-12 19:26:44 main:574] : INFO : Epoch 1842 | loss: 0.0311039 | val_loss: 0.0311281 | Time: 2925.29 ms [2022-03-12 19:26:47 main:574] : INFO : Epoch 1843 | loss: 0.0311027 | val_loss: 0.0311303 | Time: 2821.84 ms [2022-03-12 19:26:50 main:574] : INFO : Epoch 1844 | loss: 0.0310997 | val_loss: 0.0311237 | Time: 2755.63 ms [2022-03-12 19:26:53 main:574] : INFO : Epoch 1845 | loss: 0.0310987 | val_loss: 0.0311261 | Time: 2955.71 ms [2022-03-12 19:26:56 main:574] : INFO : Epoch 1846 | loss: 0.031097 | val_loss: 0.0311324 | Time: 2709.25 ms [2022-03-12 19:26:59 main:574] : INFO : Epoch 1847 | loss: 0.0310972 | val_loss: 0.0311394 | Time: 2804.38 ms [2022-03-12 19:27:01 main:574] : INFO : Epoch 1848 | loss: 0.0310967 | val_loss: 0.0311283 | Time: 2941 ms [2022-03-12 19:27:04 main:574] : INFO : Epoch 1849 | loss: 0.0310945 | val_loss: 0.0311341 | Time: 2740.1 ms [2022-03-12 19:27:07 main:574] : INFO : Epoch 1850 | loss: 0.0310943 | val_loss: 0.0311346 | Time: 2845.24 ms [2022-03-12 19:27:10 main:574] : INFO : Epoch 1851 | loss: 0.0310914 | val_loss: 0.0311335 | Time: 2824.85 ms [2022-03-12 19:27:13 main:574] : INFO : Epoch 1852 | loss: 0.0310903 | val_loss: 0.0311377 | Time: 2714.32 ms [2022-03-12 19:27:16 main:574] : INFO : Epoch 1853 | loss: 0.0310951 | val_loss: 0.0311384 | Time: 2908.45 ms [2022-03-12 19:27:18 main:574] : INFO : Epoch 1854 | loss: 0.0310917 | val_loss: 0.0311339 | Time: 2747.83 ms [2022-03-12 19:27:21 main:574] : INFO : Epoch 1855 | loss: 0.031094 | val_loss: 0.0311286 | Time: 2815.01 ms [2022-03-12 19:27:24 main:574] : INFO : Epoch 1856 | loss: 0.0310919 | val_loss: 0.0311281 | Time: 2921.44 ms [2022-03-12 19:27:27 main:574] : INFO : Epoch 1857 | loss: 0.0310938 | val_loss: 0.0311299 | Time: 2772.4 ms [2022-03-12 19:27:30 main:574] : INFO : Epoch 1858 | loss: 0.0310946 | val_loss: 0.0311331 | Time: 2880.94 ms [2022-03-12 19:27:33 main:574] : INFO : Epoch 1859 | loss: 0.0310957 | val_loss: 0.0311307 | Time: 2859 ms [2022-03-12 19:27:35 main:574] : INFO : Epoch 1860 | loss: 0.0310927 | val_loss: 0.0311281 | Time: 2689.51 ms [2022-03-12 19:27:38 main:574] : INFO : Epoch 1861 | loss: 0.0310914 | val_loss: 0.0311287 | Time: 2958.25 ms [2022-03-12 19:27:41 main:574] : INFO : Epoch 1862 | loss: 0.0310907 | val_loss: 0.031129 | Time: 2886.28 ms [2022-03-12 19:27:44 main:574] : INFO : Epoch 1863 | loss: 0.0310913 | val_loss: 0.0311342 | Time: 2788.24 ms [2022-03-12 19:27:47 main:574] : INFO : Epoch 1864 | loss: 0.0310886 | val_loss: 0.0311279 | Time: 2918.73 ms [2022-03-12 19:27:50 main:574] : INFO : Epoch 1865 | loss: 0.0310883 | val_loss: 0.0311328 | Time: 2804.67 ms [2022-03-12 19:27:53 main:574] : INFO : Epoch 1866 | loss: 0.0310903 | val_loss: 0.0311311 | Time: 2900.01 ms [2022-03-12 19:27:55 main:574] : INFO : Epoch 1867 | loss: 0.0310882 | val_loss: 0.0311309 | Time: 2865.69 ms [2022-03-12 19:27:58 main:574] : INFO : Epoch 1868 | loss: 0.0310883 | val_loss: 0.0311283 | Time: 2698.69 ms [2022-03-12 19:28:01 main:574] : INFO : Epoch 1869 | loss: 0.031087 | val_loss: 0.0311269 | Time: 3021.74 ms [2022-03-12 19:28:04 main:574] : INFO : Epoch 1870 | loss: 0.0310893 | val_loss: 0.031129 | Time: 2843.88 ms [2022-03-12 19:28:07 main:574] : INFO : Epoch 1871 | loss: 0.0310911 | val_loss: 0.0311366 | Time: 2854.5 ms [2022-03-12 19:28:10 main:574] : INFO : Epoch 1872 | loss: 0.0310906 | val_loss: 0.0311377 | Time: 2906.24 ms [2022-03-12 19:28:12 main:574] : INFO : Epoch 1873 | loss: 0.0310885 | val_loss: 0.0311275 | Time: 2681 ms [2022-03-12 19:28:15 main:574] : INFO : Epoch 1874 | loss: 0.03109 | val_loss: 0.0311316 | Time: 2969.48 ms [2022-03-12 19:28:18 main:574] : INFO : Epoch 1875 | loss: 0.0310917 | val_loss: 0.031131 | Time: 2868.99 ms [2022-03-12 19:28:21 main:574] : INFO : Epoch 1876 | loss: 0.0310904 | val_loss: 0.0311298 | Time: 2752.86 ms [2022-03-12 19:28:24 main:574] : INFO : Epoch 1877 | loss: 0.0310973 | val_loss: 0.0311404 | Time: 2979.94 ms [2022-03-12 19:28:27 main:574] : INFO : Epoch 1878 | loss: 0.0310943 | val_loss: 0.0311316 | Time: 2781.21 ms [2022-03-12 19:28:30 main:574] : INFO : Epoch 1879 | loss: 0.0310915 | val_loss: 0.0311329 | Time: 2870.16 ms [2022-03-12 19:28:33 main:574] : INFO : Epoch 1880 | loss: 0.0310931 | val_loss: 0.0311378 | Time: 2976.38 ms [2022-03-12 19:28:35 main:574] : INFO : Epoch 1881 | loss: 0.0311091 | val_loss: 0.0311448 | Time: 2669.02 ms [2022-03-12 19:28:38 main:574] : INFO : Epoch 1882 | loss: 0.0311108 | val_loss: 0.0311453 | Time: 2996.66 ms [2022-03-12 19:28:41 main:574] : INFO : Epoch 1883 | loss: 0.0311086 | val_loss: 0.0311437 | Time: 2786.29 ms [2022-03-12 19:28:44 main:574] : INFO : Epoch 1884 | loss: 0.0311047 | val_loss: 0.0311451 | Time: 2728.71 ms [2022-03-12 19:28:47 main:574] : INFO : Epoch 1885 | loss: 0.0311075 | val_loss: 0.0311437 | Time: 3040.12 ms [2022-03-12 19:28:50 main:574] : INFO : Epoch 1886 | loss: 0.031109 | val_loss: 0.0311372 | Time: 2799.54 ms [2022-03-12 19:28:53 main:574] : INFO : Epoch 1887 | loss: 0.0311055 | val_loss: 0.031134 | Time: 2834.8 ms [2022-03-12 19:28:56 main:574] : INFO : Epoch 1888 | loss: 0.0311033 | val_loss: 0.0311326 | Time: 2950.03 ms [2022-03-12 19:28:58 main:574] : INFO : Epoch 1889 | loss: 0.031104 | val_loss: 0.0311343 | Time: 2692.76 ms [2022-03-12 19:29:01 main:574] : INFO : Epoch 1890 | loss: 0.0311026 | val_loss: 0.0311352 | Time: 3015.77 ms [2022-03-12 19:29:04 main:574] : INFO : Epoch 1891 | loss: 0.0311024 | val_loss: 0.031136 | Time: 2805.51 ms [2022-03-12 19:29:07 main:574] : INFO : Epoch 1892 | loss: 0.0311033 | val_loss: 0.0311355 | Time: 2709.32 ms [2022-03-12 19:29:10 main:574] : INFO : Epoch 1893 | loss: 0.0311066 | val_loss: 0.0311395 | Time: 3112.91 ms [2022-03-12 19:29:13 main:574] : INFO : Epoch 1894 | loss: 0.0311118 | val_loss: 0.0311352 | Time: 2734.49 ms [2022-03-12 19:29:16 main:574] : INFO : Epoch 1895 | loss: 0.0311071 | val_loss: 0.0311359 | Time: 2907.98 ms [2022-03-12 19:29:18 main:574] : INFO : Epoch 1896 | loss: 0.0311037 | val_loss: 0.0311404 | Time: 2901.97 ms [2022-03-12 19:29:21 main:574] : INFO : Epoch 1897 | loss: 0.031104 | val_loss: 0.0311423 | Time: 2728.54 ms [2022-03-12 19:29:24 main:574] : INFO : Epoch 1898 | loss: 0.0311042 | val_loss: 0.0311426 | Time: 2994.88 ms [2022-03-12 19:29:27 main:574] : INFO : Epoch 1899 | loss: 0.031105 | val_loss: 0.0311476 | Time: 2831.32 ms [2022-03-12 19:29:30 main:574] : INFO : Epoch 1900 | loss: 0.0311071 | val_loss: 0.0311382 | Time: 2927.92 ms [2022-03-12 19:29:33 main:574] : INFO : Epoch 1901 | loss: 0.0311049 | val_loss: 0.0311389 | Time: 2980.69 ms [2022-03-12 19:29:36 main:574] : INFO : Epoch 1902 | loss: 0.0311093 | val_loss: 0.0311451 | Time: 2748.24 ms [2022-03-12 19:29:39 main:574] : INFO : Epoch 1903 | loss: 0.0311046 | val_loss: 0.0311403 | Time: 2970.85 ms [2022-03-12 19:29:42 main:574] : INFO : Epoch 1904 | loss: 0.0311038 | val_loss: 0.0311421 | Time: 2910.15 ms [2022-03-12 19:29:44 main:574] : INFO : Epoch 1905 | loss: 0.0311031 | val_loss: 0.0311438 | Time: 2728.08 ms [2022-03-12 19:29:47 main:574] : INFO : Epoch 1906 | loss: 0.0311015 | val_loss: 0.0311457 | Time: 2957.05 ms [2022-03-12 19:29:50 main:574] : INFO : Epoch 1907 | loss: 0.0311014 | val_loss: 0.0311381 | Time: 2772.25 ms [2022-03-12 19:29:53 main:574] : INFO : Epoch 1908 | loss: 0.0311009 | val_loss: 0.0311425 | Time: 2829.55 ms [2022-03-12 19:29:56 main:574] : INFO : Epoch 1909 | loss: 0.0310986 | val_loss: 0.0311385 | Time: 2952.29 ms [2022-03-12 19:29:59 main:574] : INFO : Epoch 1910 | loss: 0.0310986 | val_loss: 0.031134 | Time: 2790.35 ms [2022-03-12 19:30:02 main:574] : INFO : Epoch 1911 | loss: 0.0310994 | val_loss: 0.031142 | Time: 2973.68 ms [2022-03-12 19:30:04 main:574] : INFO : Epoch 1912 | loss: 0.0310976 | val_loss: 0.0311376 | Time: 2840.48 ms [2022-03-12 19:30:07 main:574] : INFO : Epoch 1913 | loss: 0.0310962 | val_loss: 0.0311359 | Time: 2740.36 ms [2022-03-12 19:30:10 main:574] : INFO : Epoch 1914 | loss: 0.0310968 | val_loss: 0.0311365 | Time: 2981.42 ms [2022-03-12 19:30:13 main:574] : INFO : Epoch 1915 | loss: 0.031097 | val_loss: 0.0311384 | Time: 2814.74 ms [2022-03-12 19:30:16 main:574] : INFO : Epoch 1916 | loss: 0.0310976 | val_loss: 0.0311347 | Time: 2786.8 ms [2022-03-12 19:30:19 main:574] : INFO : Epoch 1917 | loss: 0.0310974 | val_loss: 0.0311361 | Time: 2923.62 ms [2022-03-12 19:30:21 main:574] : INFO : Epoch 1918 | loss: 0.0310999 | val_loss: 0.0311361 | Time: 2747.16 ms [2022-03-12 19:30:24 main:574] : INFO : Epoch 1919 | loss: 0.0310993 | val_loss: 0.0311317 | Time: 2900.93 ms [2022-03-12 19:30:27 main:574] : INFO : Epoch 1920 | loss: 0.0310999 | val_loss: 0.0311329 | Time: 2885.22 ms [2022-03-12 19:30:30 main:574] : INFO : Epoch 1921 | loss: 0.031097 | val_loss: 0.0311331 | Time: 2729.7 ms [2022-03-12 19:30:33 main:574] : INFO : Epoch 1922 | loss: 0.0310959 | val_loss: 0.031129 | Time: 2977.37 ms [2022-03-12 19:30:36 main:574] : INFO : Epoch 1923 | loss: 0.0310965 | val_loss: 0.0311353 | Time: 2867.42 ms [2022-03-12 19:30:39 main:574] : INFO : Epoch 1924 | loss: 0.0311044 | val_loss: 0.0311355 | Time: 2813.71 ms [2022-03-12 19:30:42 main:574] : INFO : Epoch 1925 | loss: 0.0311058 | val_loss: 0.0311291 | Time: 2999.47 ms [2022-03-12 19:30:44 main:574] : INFO : Epoch 1926 | loss: 0.0311025 | val_loss: 0.0311296 | Time: 2656.21 ms [2022-03-12 19:30:47 main:574] : INFO : Epoch 1927 | loss: 0.0310991 | val_loss: 0.0311326 | Time: 2974.29 ms [2022-03-12 19:30:50 main:574] : INFO : Epoch 1928 | loss: 0.0310993 | val_loss: 0.0311289 | Time: 2864.65 ms [2022-03-12 19:30:53 main:574] : INFO : Epoch 1929 | loss: 0.0310979 | val_loss: 0.0311368 | Time: 2752.96 ms [2022-03-12 19:30:56 main:574] : INFO : Epoch 1930 | loss: 0.0310957 | val_loss: 0.0311316 | Time: 2968.12 ms [2022-03-12 19:30:59 main:574] : INFO : Epoch 1931 | loss: 0.0310971 | val_loss: 0.031129 | Time: 2847.35 ms [2022-03-12 19:31:02 main:574] : INFO : Epoch 1932 | loss: 0.0311059 | val_loss: 0.0311263 | Time: 2907.52 ms [2022-03-12 19:31:05 main:574] : INFO : Epoch 1933 | loss: 0.0311056 | val_loss: 0.0311343 | Time: 2939.19 ms [2022-03-12 19:31:07 main:574] : INFO : Epoch 1934 | loss: 0.0311028 | val_loss: 0.0311322 | Time: 2650.81 ms [2022-03-12 19:31:10 main:574] : INFO : Epoch 1935 | loss: 0.0311015 | val_loss: 0.0311328 | Time: 2903.81 ms [2022-03-12 19:31:13 main:574] : INFO : Epoch 1936 | loss: 0.0311002 | val_loss: 0.031133 | Time: 2878.35 ms [2022-03-12 19:31:16 main:574] : INFO : Epoch 1937 | loss: 0.0310986 | val_loss: 0.0311373 | Time: 2704.17 ms [2022-03-12 19:31:19 main:574] : INFO : Epoch 1938 | loss: 0.031097 | val_loss: 0.0311427 | Time: 3064.94 ms [2022-03-12 19:31:22 main:574] : INFO : Epoch 1939 | loss: 0.0310956 | val_loss: 0.0311266 | Time: 2760.02 ms [2022-03-12 19:31:25 main:574] : INFO : Epoch 1940 | loss: 0.0310919 | val_loss: 0.0311312 | Time: 2889.4 ms [2022-03-12 19:31:27 main:574] : INFO : Epoch 1941 | loss: 0.0310913 | val_loss: 0.0311322 | Time: 2947.85 ms [2022-03-12 19:31:30 main:574] : INFO : Epoch 1942 | loss: 0.0310923 | val_loss: 0.0311291 | Time: 2751.56 ms [2022-03-12 19:31:33 main:574] : INFO : Epoch 1943 | loss: 0.0310931 | val_loss: 0.0311366 | Time: 3051.15 ms [2022-03-12 19:31:36 main:574] : INFO : Epoch 1944 | loss: 0.0310919 | val_loss: 0.0311328 | Time: 2842.59 ms [2022-03-12 19:31:39 main:574] : INFO : Epoch 1945 | loss: 0.0310901 | val_loss: 0.0311303 | Time: 2701.03 ms [2022-03-12 19:31:42 main:574] : INFO : Epoch 1946 | loss: 0.0310919 | val_loss: 0.0311302 | Time: 3064.05 ms [2022-03-12 19:31:45 main:574] : INFO : Epoch 1947 | loss: 0.0310935 | val_loss: 0.031136 | Time: 2751.2 ms [2022-03-12 19:31:48 main:574] : INFO : Epoch 1948 | loss: 0.0310953 | val_loss: 0.0311326 | Time: 2972.44 ms [2022-03-12 19:31:51 main:574] : INFO : Epoch 1949 | loss: 0.0310956 | val_loss: 0.0311315 | Time: 2883.25 ms [2022-03-12 19:31:53 main:574] : INFO : Epoch 1950 | loss: 0.0310929 | val_loss: 0.0311345 | Time: 2653.75 ms [2022-03-12 19:31:56 main:574] : INFO : Epoch 1951 | loss: 0.0310945 | val_loss: 0.0311383 | Time: 3024.98 ms [2022-03-12 19:31:59 main:574] : INFO : Epoch 1952 | loss: 0.031093 | val_loss: 0.0311333 | Time: 2811.82 ms [2022-03-12 19:32:02 main:574] : INFO : Epoch 1953 | loss: 0.0310912 | val_loss: 0.0311296 | Time: 2921.83 ms [2022-03-12 19:32:05 main:574] : INFO : Epoch 1954 | loss: 0.0310895 | val_loss: 0.0311341 | Time: 2902.32 ms [2022-03-12 19:32:08 main:574] : INFO : Epoch 1955 | loss: 0.0310907 | val_loss: 0.0311281 | Time: 2739.63 ms [2022-03-12 19:32:11 main:574] : INFO : Epoch 1956 | loss: 0.0310903 | val_loss: 0.0311299 | Time: 3040.87 ms [2022-03-12 19:32:14 main:574] : INFO : Epoch 1957 | loss: 0.0310908 | val_loss: 0.031132 | Time: 2840.97 ms [2022-03-12 19:32:16 main:574] : INFO : Epoch 1958 | loss: 0.0310902 | val_loss: 0.0311316 | Time: 2771.66 ms [2022-03-12 19:32:19 main:574] : INFO : Epoch 1959 | loss: 0.031089 | val_loss: 0.0311326 | Time: 2953.26 ms [2022-03-12 19:32:22 main:574] : INFO : Epoch 1960 | loss: 0.0310897 | val_loss: 0.031129 | Time: 2751.66 ms [2022-03-12 19:32:25 main:574] : INFO : Epoch 1961 | loss: 0.0310915 | val_loss: 0.0311341 | Time: 2904.25 ms [2022-03-12 19:32:28 main:574] : INFO : Epoch 1962 | loss: 0.0310909 | val_loss: 0.0311337 | Time: 2922.42 ms [2022-03-12 19:32:31 main:574] : INFO : Epoch 1963 | loss: 0.0310933 | val_loss: 0.0311301 | Time: 2700.46 ms [2022-03-12 19:32:33 main:574] : INFO : Epoch 1964 | loss: 0.0310919 | val_loss: 0.0311386 | Time: 2884.53 ms [2022-03-12 19:32:36 main:574] : INFO : Epoch 1965 | loss: 0.0310895 | val_loss: 0.0311285 | Time: 2870.67 ms [2022-03-12 19:32:39 main:574] : INFO : Epoch 1966 | loss: 0.031092 | val_loss: 0.0311476 | Time: 2737.37 ms [2022-03-12 19:32:42 main:574] : INFO : Epoch 1967 | loss: 0.0310936 | val_loss: 0.0311306 | Time: 2982.92 ms [2022-03-12 19:32:45 main:574] : INFO : Epoch 1968 | loss: 0.0310897 | val_loss: 0.0311395 | Time: 2816.8 ms [2022-03-12 19:32:48 main:574] : INFO : Epoch 1969 | loss: 0.0310888 | val_loss: 0.0311366 | Time: 2819.05 ms [2022-03-12 19:32:51 main:574] : INFO : Epoch 1970 | loss: 0.0310867 | val_loss: 0.0311325 | Time: 2868.53 ms [2022-03-12 19:32:53 main:574] : INFO : Epoch 1971 | loss: 0.0310865 | val_loss: 0.0311347 | Time: 2762.16 ms [2022-03-12 19:32:56 main:574] : INFO : Epoch 1972 | loss: 0.0310892 | val_loss: 0.0311447 | Time: 2935.62 ms [2022-03-12 19:32:59 main:574] : INFO : Epoch 1973 | loss: 0.0310902 | val_loss: 0.03113 | Time: 2830.65 ms [2022-03-12 19:33:02 main:574] : INFO : Epoch 1974 | loss: 0.0310872 | val_loss: 0.0311369 | Time: 2845.27 ms [2022-03-12 19:33:05 main:574] : INFO : Epoch 1975 | loss: 0.0310881 | val_loss: 0.0311331 | Time: 2960.91 ms [2022-03-12 19:33:08 main:574] : INFO : Epoch 1976 | loss: 0.0310858 | val_loss: 0.0311442 | Time: 2819.93 ms [2022-03-12 19:33:11 main:574] : INFO : Epoch 1977 | loss: 0.0310897 | val_loss: 0.0311369 | Time: 2832 ms [2022-03-12 19:33:14 main:574] : INFO : Epoch 1978 | loss: 0.0310876 | val_loss: 0.0311443 | Time: 2906.47 ms [2022-03-12 19:33:16 main:574] : INFO : Epoch 1979 | loss: 0.0310891 | val_loss: 0.0311308 | Time: 2733.91 ms [2022-03-12 19:33:19 main:574] : INFO : Epoch 1980 | loss: 0.0310854 | val_loss: 0.0311389 | Time: 2864.26 ms [2022-03-12 19:33:22 main:574] : INFO : Epoch 1981 | loss: 0.0310855 | val_loss: 0.0311373 | Time: 2873.96 ms [2022-03-12 19:33:25 main:574] : INFO : Epoch 1982 | loss: 0.0310941 | val_loss: 0.0311379 | Time: 2729.6 ms [2022-03-12 19:33:28 main:574] : INFO : Epoch 1983 | loss: 0.0311148 | val_loss: 0.0311455 | Time: 2935.51 ms [2022-03-12 19:33:30 main:574] : INFO : Epoch 1984 | loss: 0.0311144 | val_loss: 0.0311391 | Time: 2784.29 ms [2022-03-12 19:33:33 main:574] : INFO : Epoch 1985 | loss: 0.0311136 | val_loss: 0.0311403 | Time: 2860.68 ms [2022-03-12 19:33:36 main:574] : INFO : Epoch 1986 | loss: 0.0311129 | val_loss: 0.0311427 | Time: 2940.59 ms [2022-03-12 19:33:39 main:574] : INFO : Epoch 1987 | loss: 0.0311137 | val_loss: 0.0311417 | Time: 2687.7 ms [2022-03-12 19:33:42 main:574] : INFO : Epoch 1988 | loss: 0.0311158 | val_loss: 0.0311455 | Time: 2919.1 ms [2022-03-12 19:33:45 main:574] : INFO : Epoch 1989 | loss: 0.0311193 | val_loss: 0.0311424 | Time: 2906.72 ms [2022-03-12 19:33:48 main:574] : INFO : Epoch 1990 | loss: 0.0311145 | val_loss: 0.031144 | Time: 2754.34 ms [2022-03-12 19:33:51 main:574] : INFO : Epoch 1991 | loss: 0.0311078 | val_loss: 0.0311389 | Time: 2968.09 ms [2022-03-12 19:33:53 main:574] : INFO : Epoch 1992 | loss: 0.0311075 | val_loss: 0.0311416 | Time: 2747.43 ms [2022-03-12 19:33:56 main:574] : INFO : Epoch 1993 | loss: 0.0311069 | val_loss: 0.0311327 | Time: 2821.84 ms [2022-03-12 19:33:59 main:574] : INFO : Epoch 1994 | loss: 0.0311053 | val_loss: 0.0311354 | Time: 2962.96 ms [2022-03-12 19:34:02 main:574] : INFO : Epoch 1995 | loss: 0.0311031 | val_loss: 0.0311331 | Time: 2751.49 ms Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: NVIDIA GeForce RTX 3070 Laptop GPU) [2022-03-12 19:48:24 main:435] : INFO : Set logging level to 1 [2022-03-12 19:48:24 main:441] : INFO : Running in BOINC Client mode [2022-03-12 19:48:24 main:444] : INFO : Resolving all filenames [2022-03-12 19:48:24 main:452] : INFO : Resolved: dataset.hdf5 => dataset.hdf5 (exists = 1) [2022-03-12 19:48:24 main:452] : INFO : Resolved: model.cfg => model.cfg (exists = 1) [2022-03-12 19:48:24 main:452] : INFO : Resolved: model-final.pt => model-final.pt (exists = 0) [2022-03-12 19:48:24 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 1) [2022-03-12 19:48:24 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1) [2022-03-12 19:48:24 main:472] : INFO : Dataset filename: dataset.hdf5 [2022-03-12 19:48:24 main:474] : INFO : Configuration: [2022-03-12 19:48:24 main:475] : INFO : Model type: GRU [2022-03-12 19:48:24 main:476] : INFO : Validation Loss Threshold: 0.0001 [2022-03-12 19:48:24 main:477] : INFO : Max Epochs: 2048 [2022-03-12 19:48:24 main:478] : INFO : Batch Size: 128 [2022-03-12 19:48:24 main:479] : INFO : Learning Rate: 0.01 [2022-03-12 19:48:24 main:480] : INFO : Patience: 10 [2022-03-12 19:48:24 main:481] : INFO : Hidden Width: 12 [2022-03-12 19:48:24 main:482] : INFO : # Recurrent Layers: 4 [2022-03-12 19:48:24 main:483] : INFO : # Backend Layers: 4 [2022-03-12 19:48:24 main:484] : INFO : # Threads: 1 [2022-03-12 19:48:24 main:486] : INFO : Preparing Dataset [2022-03-12 19:48:24 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from dataset.hdf5 into memory [2022-03-12 19:48:25 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from dataset.hdf5 into memory [2022-03-12 20:25:30 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2022-03-12 20:25:30 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from dataset.hdf5 into memory [2022-03-12 20:25:30 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from dataset.hdf5 into memory [2022-03-12 20:25:30 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2022-03-12 20:25:30 main:494] : INFO : Creating Model [2022-03-12 20:25:30 main:507] : INFO : Preparing config file [2022-03-12 20:25:30 main:511] : INFO : Found checkpoint, attempting to load... [2022-03-12 20:25:30 main:512] : INFO : Loading config [2022-03-12 20:25:30 main:514] : INFO : Loading state Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: NVIDIA GeForce RTX 3070 Laptop GPU) [2022-03-13 08:24:39 main:435] : INFO : Set logging level to 1 [2022-03-13 08:24:39 main:441] : INFO : Running in BOINC Client mode [2022-03-13 08:24:40 main:444] : INFO : Resolving all filenames [2022-03-13 08:24:40 main:452] : INFO : Resolved: dataset.hdf5 => dataset.hdf5 (exists = 1) [2022-03-13 08:24:40 main:452] : INFO : Resolved: model.cfg => model.cfg (exists = 1) [2022-03-13 08:24:40 main:452] : INFO : Resolved: model-final.pt => model-final.pt (exists = 0) [2022-03-13 08:24:40 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 1) [2022-03-13 08:24:40 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1) [2022-03-13 08:24:41 main:472] : INFO : Dataset filename: dataset.hdf5 [2022-03-13 08:24:41 main:474] : INFO : Configuration: [2022-03-13 08:24:41 main:475] : INFO : Model type: GRU [2022-03-13 08:24:41 main:476] : INFO : Validation Loss Threshold: 0.0001 [2022-03-13 08:24:41 main:477] : INFO : Max Epochs: 2048 [2022-03-13 08:24:41 main:478] : INFO : Batch Size: 128 [2022-03-13 08:24:41 main:479] : INFO : Learning Rate: 0.01 [2022-03-13 08:24:41 main:480] : INFO : Patience: 10 [2022-03-13 08:24:41 main:481] : INFO : Hidden Width: 12 Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: NVIDIA GeForce RTX 3070 Laptop GPU) [2022-03-13 09:32:46 main:435] : INFO : Set logging level to 1 [2022-03-13 09:32:46 main:441] : INFO : Running in BOINC Client mode [2022-03-13 09:32:46 main:444] : INFO : Resolving all filenames [2022-03-13 09:32:46 main:452] : INFO : Resolved: dataset.hdf5 => dataset.hdf5 (exists = 1) [2022-03-13 09:32:46 main:452] : INFO : Resolved: model.cfg => model.cfg (exists = 1) [2022-03-13 09:32:46 main:452] : INFO : Resolved: model-final.pt => model-final.pt (exists = 0) [2022-03-13 09:32:46 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 1) [2022-03-13 09:32:46 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1) [2022-03-13 09:32:46 main:472] : INFO : Dataset filename: dataset.hdf5 [2022-03-13 09:32:46 main:474] : INFO : Configuration: [2022-03-13 09:32:46 main:475] : INFO : Model type: GRU [2022-03-13 09:32:46 main:476] : INFO : Validation Loss Threshold: 0.0001 [2022-03-13 09:32:46 main:477] : INFO : Max Epochs: 2048 [2022-03-13 09:32:46 main:478] : INFO : Batch Size: 128 [2022-03-13 09:32:46 main:479] : INFO : Learning Rate: 0.01 [2022-03-13 09:32:46 main:480] : INFO : Patience: 10 [2022-03-13 09:32:46 main:481] : INFO : Hidden Width: 12 [2022-03-13 09:32:46 main:482] : INFO : # Recurrent Layers: 4 [2022-03-13 09:32:46 main:483] : INFO : # Backend Layers: 4 [2022-03-13 09:32:46 main:484] : INFO : # Threads: 1 [2022-03-13 09:32:46 main:486] : INFO : Preparing Dataset [2022-03-13 09:32:46 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from dataset.hdf5 into memory [2022-03-13 09:32:47 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from dataset.hdf5 into memory Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: NVIDIA GeForce RTX 3070 Laptop GPU) [2022-03-13 17:23:42 main:435] : INFO : Set logging level to 1 [2022-03-13 17:23:42 main:441] : INFO : Running in BOINC Client mode [2022-03-13 17:23:42 main:444] : INFO : Resolving all filenames [2022-03-13 17:23:42 main:452] : INFO : Resolved: dataset.hdf5 => dataset.hdf5 (exists = 1) [2022-03-13 17:23:42 main:452] : INFO : Resolved: model.cfg => model.cfg (exists = 1) [2022-03-13 17:23:42 main:452] : INFO : Resolved: model-final.pt => model-final.pt (exists = 0) [2022-03-13 17:23:42 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 1) [2022-03-13 17:23:42 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1) [2022-03-13 17:23:42 main:472] : INFO : Dataset filename: dataset.hdf5 [2022-03-13 17:23:42 main:474] : INFO : Configuration: [2022-03-13 17:23:42 main:475] : INFO : Model type: GRU [2022-03-13 17:23:42 main:476] : INFO : Validation Loss Threshold: 0.0001 [2022-03-13 17:23:42 main:477] : INFO : Max Epochs: 2048 [2022-03-13 17:23:42 main:478] : INFO : Batch Size: 128 [2022-03-13 17:23:42 main:479] : INFO : Learning Rate: 0.01 [2022-03-13 17:23:42 main:480] : INFO : Patience: 10 [2022-03-13 17:23:42 main:481] : INFO : Hidden Width: 12 [2022-03-13 17:23:42 main:482] : INFO : # Recurrent Layers: 4 [2022-03-13 17:23:42 main:483] : INFO : # Backend Layers: 4 [2022-03-13 17:23:42 main:484] : INFO : # Threads: 1 [2022-03-13 17:23:42 main:486] : INFO : Preparing Dataset [2022-03-13 17:23:42 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from dataset.hdf5 into memory [2022-03-13 17:23:42 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from dataset.hdf5 into memory Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: NVIDIA GeForce RTX 3070 Laptop GPU) [2022-03-13 17:51:40 main:435] : INFO : Set logging level to 1 [2022-03-13 17:51:40 main:441] : INFO : Running in BOINC Client mode [2022-03-13 17:51:40 main:444] : INFO : Resolving all filenames [2022-03-13 17:51:40 main:452] : INFO : Resolved: dataset.hdf5 => dataset.hdf5 (exists = 1) [2022-03-13 17:51:40 main:452] : INFO : Resolved: model.cfg => model.cfg (exists = 1) [2022-03-13 17:51:40 main:452] : INFO : Resolved: model-final.pt => model-final.pt (exists = 0) [2022-03-13 17:51:40 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 1) [2022-03-13 17:51:40 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1) [2022-03-13 17:51:40 main:472] : INFO : Dataset filename: dataset.hdf5 [2022-03-13 17:51:40 main:474] : INFO : Configuration: [2022-03-13 17:51:40 main:475] : INFO : Model type: GRU [2022-03-13 17:51:40 main:476] : INFO : Validation Loss Threshold: 0.0001 [2022-03-13 17:51:40 main:477] : INFO : Max Epochs: 2048 [2022-03-13 17:51:40 main:478] : INFO : Batch Size: 128 [2022-03-13 17:51:40 main:479] : INFO : Learning Rate: 0.01 [2022-03-13 17:51:40 main:480] : INFO : Patience: 10 [2022-03-13 17:51:40 main:481] : INFO : Hidden Width: 12 [2022-03-13 17:51:40 main:482] : INFO : # Recurrent Layers: 4 [2022-03-13 17:51:40 main:483] : INFO : # Backend Layers: 4 [2022-03-13 17:51:40 main:484] : INFO : # Threads: 1 [2022-03-13 17:51:40 main:486] : INFO : Preparing Dataset [2022-03-13 17:51:40 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from dataset.hdf5 into memory [2022-03-13 17:51:41 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from dataset.hdf5 into memory Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: NVIDIA GeForce RTX 3070 Laptop GPU) [2022-03-13 18:22:18 main:435] : INFO : Set logging level to 1 [2022-03-13 18:22:18 main:441] : INFO : Running in BOINC Client mode [2022-03-13 18:22:18 main:444] : INFO : Resolving all filenames [2022-03-13 18:22:18 main:452] : INFO : Resolved: dataset.hdf5 => dataset.hdf5 (exists = 1) [2022-03-13 18:22:18 main:452] : INFO : Resolved: model.cfg => model.cfg (exists = 1) [2022-03-13 18:22:18 main:452] : INFO : Resolved: model-final.pt => model-final.pt (exists = 0) [2022-03-13 18:22:18 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 1) [2022-03-13 18:22:18 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1) [2022-03-13 18:22:18 main:472] : INFO : Dataset filename: dataset.hdf5 [2022-03-13 18:22:18 main:474] : INFO : Configuration: [2022-03-13 18:22:18 main:475] : INFO : Model type: GRU [2022-03-13 18:22:18 main:476] : INFO : Validation Loss Threshold: 0.0001 [2022-03-13 18:22:18 main:477] : INFO : Max Epochs: 2048 [2022-03-13 18:22:18 main:478] : INFO : Batch Size: 128 [2022-03-13 18:22:18 main:479] : INFO : Learning Rate: 0.01 [2022-03-13 18:22:18 main:480] : INFO : Patience: 10 [2022-03-13 18:22:18 main:481] : INFO : Hidden Width: 12 [2022-03-13 18:22:18 main:482] : INFO : # Recurrent Layers: 4 [2022-03-13 18:22:18 main:483] : INFO : # Backend Layers: 4 [2022-03-13 18:22:18 main:484] : INFO : # Threads: 1 [2022-03-13 18:22:18 main:486] : INFO : Preparing Dataset [2022-03-13 18:22:18 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from dataset.hdf5 into memory [2022-03-13 18:22:18 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from dataset.hdf5 into memory [2022-03-13 18:56:01 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2022-03-13 18:56:01 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from dataset.hdf5 into memory [2022-03-13 18:56:01 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from dataset.hdf5 into memory [2022-03-13 18:56:01 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2022-03-13 18:56:01 main:494] : INFO : Creating Model [2022-03-13 18:56:01 main:507] : INFO : Preparing config file [2022-03-13 18:56:01 main:511] : INFO : Found checkpoint, attempting to load... [2022-03-13 18:56:01 main:512] : INFO : Loading config [2022-03-13 18:56:01 main:514] : INFO : Loading state [2022-03-13 19:23:58 main:559] : INFO : Loading DataLoader into Memory [2022-03-13 19:23:58 main:562] : INFO : Starting Training [2022-03-13 19:26:06 main:574] : INFO : Epoch 1945 | loss: 0.0311721 | val_loss: 0.0311395 | Time: 128373 ms [2022-03-13 19:26:08 main:574] : INFO : Epoch 1946 | loss: 0.0311005 | val_loss: 0.0311309 | Time: 1670.69 ms [2022-03-13 19:26:10 main:574] : INFO : Epoch 1947 | loss: 0.031096 | val_loss: 0.0311327 | Time: 1664.39 ms [2022-03-13 19:26:11 main:574] : INFO : Epoch 1948 | loss: 0.0310986 | val_loss: 0.0311258 | Time: 1591 ms [2022-03-13 19:26:13 main:574] : INFO : Epoch 1949 | loss: 0.0310965 | val_loss: 0.0311293 | Time: 1679 ms [2022-03-13 19:26:15 main:574] : INFO : Epoch 1950 | loss: 0.0310935 | val_loss: 0.0311317 | Time: 1812.59 ms [2022-03-13 19:26:17 main:574] : INFO : Epoch 1951 | loss: 0.0310933 | val_loss: 0.0311261 | Time: 1740.01 ms [2022-03-13 19:26:18 main:574] : INFO : Epoch 1952 | loss: 0.031092 | val_loss: 0.0311349 | Time: 1772.56 ms [2022-03-13 19:26:20 main:574] : INFO : Epoch 1953 | loss: 0.0310907 | val_loss: 0.0311282 | Time: 1732.31 ms [2022-03-13 19:26:22 main:574] : INFO : Epoch 1954 | loss: 0.0310931 | val_loss: 0.0311331 | Time: 1803.79 ms [2022-03-13 19:26:24 main:574] : INFO : Epoch 1955 | loss: 0.0310947 | val_loss: 0.0311333 | Time: 1797 ms [2022-03-13 19:26:25 main:574] : INFO : Epoch 1956 | loss: 0.0310921 | val_loss: 0.0311295 | Time: 1812.22 ms [2022-03-13 19:26:27 main:574] : INFO : Epoch 1957 | loss: 0.0310919 | val_loss: 0.0311357 | Time: 1828.44 ms [2022-03-13 19:26:29 main:574] : INFO : Epoch 1958 | loss: 0.0310912 | val_loss: 0.0311316 | Time: 1802.78 ms [2022-03-13 19:26:31 main:574] : INFO : Epoch 1959 | loss: 0.0310909 | val_loss: 0.0311413 | Time: 1978.09 ms [2022-03-13 19:26:33 main:574] : INFO : Epoch 1960 | loss: 0.03109 | val_loss: 0.0311352 | Time: 2087.82 ms [2022-03-13 19:26:35 main:574] : INFO : Epoch 1961 | loss: 0.0310907 | val_loss: 0.0311407 | Time: 1939.81 ms [2022-03-13 19:26:37 main:574] : INFO : Epoch 1962 | loss: 0.0310935 | val_loss: 0.0311352 | Time: 2107.16 ms [2022-03-13 19:26:39 main:574] : INFO : Epoch 1963 | loss: 0.0310897 | val_loss: 0.0311341 | Time: 2056.25 ms [2022-03-13 19:26:41 main:574] : INFO : Epoch 1964 | loss: 0.0310885 | val_loss: 0.0311303 | Time: 1829.48 ms [2022-03-13 19:26:43 main:574] : INFO : Epoch 1965 | loss: 0.0310895 | val_loss: 0.0311287 | Time: 1876.2 ms [2022-03-13 19:26:45 main:574] : INFO : Epoch 1966 | loss: 0.0310887 | val_loss: 0.0311302 | Time: 1884.74 ms [2022-03-13 19:26:47 main:574] : INFO : Epoch 1967 | loss: 0.0310883 | val_loss: 0.0311289 | Time: 1988.1 ms [2022-03-13 19:26:49 main:574] : INFO : Epoch 1968 | loss: 0.0310882 | val_loss: 0.0311261 | Time: 1892.3 ms [2022-03-13 19:26:51 main:574] : INFO : Epoch 1969 | loss: 0.0310875 | val_loss: 0.0311254 | Time: 1808.97 ms [2022-03-13 19:26:53 main:574] : INFO : Epoch 1970 | loss: 0.0310876 | val_loss: 0.0311306 | Time: 1876.68 ms [2022-03-13 19:26:55 main:574] : INFO : Epoch 1971 | loss: 0.0310874 | val_loss: 0.0311312 | Time: 2009.74 ms [2022-03-13 19:26:56 main:574] : INFO : Epoch 1972 | loss: 0.0310866 | val_loss: 0.0311324 | Time: 1917.24 ms [2022-03-13 19:26:58 main:574] : INFO : Epoch 1973 | loss: 0.0310885 | val_loss: 0.0311374 | Time: 1885.61 ms [2022-03-13 19:27:01 main:574] : INFO : Epoch 1974 | loss: 0.0310889 | val_loss: 0.0311309 | Time: 2390.03 ms [2022-03-13 19:27:03 main:574] : INFO : Epoch 1975 | loss: 0.0310886 | val_loss: 0.0311299 | Time: 2413.35 ms [2022-03-13 19:27:05 main:574] : INFO : Epoch 1976 | loss: 0.0310871 | val_loss: 0.031125 | Time: 2148.88 ms [2022-03-13 19:27:08 main:574] : INFO : Epoch 1977 | loss: 0.0310852 | val_loss: 0.0311376 | Time: 2369.16 ms [2022-03-13 19:27:10 main:574] : INFO : Epoch 1978 | loss: 0.0310838 | val_loss: 0.031138 | Time: 2436.64 ms [2022-03-13 19:27:12 main:574] : INFO : Epoch 1979 | loss: 0.0310831 | val_loss: 0.0311309 | Time: 2362.28 ms [2022-03-13 19:27:15 main:574] : INFO : Epoch 1980 | loss: 0.0310847 | val_loss: 0.0311324 | Time: 2536.83 ms [2022-03-13 19:27:17 main:574] : INFO : Epoch 1981 | loss: 0.0310841 | val_loss: 0.0311289 | Time: 2366.43 ms [2022-03-13 19:27:20 main:574] : INFO : Epoch 1982 | loss: 0.031086 | val_loss: 0.0311282 | Time: 2223.13 ms [2022-03-13 19:27:22 main:574] : INFO : Epoch 1983 | loss: 0.0310853 | val_loss: 0.0311369 | Time: 2503.07 ms [2022-03-13 19:27:24 main:574] : INFO : Epoch 1984 | loss: 0.0310835 | val_loss: 0.0311342 | Time: 2316.37 ms [2022-03-13 19:27:27 main:574] : INFO : Epoch 1985 | loss: 0.0310833 | val_loss: 0.0311278 | Time: 2276.29 ms [2022-03-13 19:27:29 main:574] : INFO : Epoch 1986 | loss: 0.0310856 | val_loss: 0.031127 | Time: 2622.04 ms [2022-03-13 19:27:32 main:574] : INFO : Epoch 1987 | loss: 0.0310849 | val_loss: 0.0311263 | Time: 2360.72 ms [2022-03-13 19:27:34 main:574] : INFO : Epoch 1988 | loss: 0.0310829 | val_loss: 0.0311307 | Time: 2295.6 ms [2022-03-13 19:27:37 main:574] : INFO : Epoch 1989 | loss: 0.0310826 | val_loss: 0.0311284 | Time: 2600.29 ms [2022-03-13 19:27:39 main:574] : INFO : Epoch 1990 | loss: 0.0310898 | val_loss: 0.0311447 | Time: 2367.33 ms [2022-03-13 19:27:41 main:574] : INFO : Epoch 1991 | loss: 0.0311116 | val_loss: 0.0311312 | Time: 2310.34 ms [2022-03-13 19:27:44 main:574] : INFO : Epoch 1992 | loss: 0.0311005 | val_loss: 0.0311314 | Time: 2636.26 ms [2022-03-13 19:27:46 main:574] : INFO : Epoch 1993 | loss: 0.0310963 | val_loss: 0.0311299 | Time: 2284.28 ms [2022-03-13 19:27:49 main:574] : INFO : Epoch 1994 | loss: 0.0310925 | val_loss: 0.0311322 | Time: 2356.17 ms [2022-03-13 19:27:51 main:574] : INFO : Epoch 1995 | loss: 0.0310949 | val_loss: 0.0311363 | Time: 2602.03 ms [2022-03-13 19:27:54 main:574] : INFO : Epoch 1996 | loss: 0.0310927 | val_loss: 0.0311332 | Time: 2397.92 ms [2022-03-13 19:27:56 main:574] : INFO : Epoch 1997 | loss: 0.0310914 | val_loss: 0.031133 | Time: 2434.73 ms [2022-03-13 19:27:59 main:574] : INFO : Epoch 1998 | loss: 0.0310903 | val_loss: 0.0311306 | Time: 2558.14 ms [2022-03-13 19:28:01 main:574] : INFO : Epoch 1999 | loss: 0.0310881 | val_loss: 0.0311299 | Time: 2368.62 ms [2022-03-13 19:28:03 main:574] : INFO : Epoch 2000 | loss: 0.0310884 | val_loss: 0.0311319 | Time: 2469.05 ms [2022-03-13 19:28:06 main:574] : INFO : Epoch 2001 | loss: 0.0310902 | val_loss: 0.0311357 | Time: 2520.01 ms [2022-03-13 19:28:08 main:574] : INFO : Epoch 2002 | loss: 0.0310888 | val_loss: 0.0311317 | Time: 2383.98 ms [2022-03-13 19:28:11 main:574] : INFO : Epoch 2003 | loss: 0.03109 | val_loss: 0.0311287 | Time: 2600.76 ms [2022-03-13 19:28:13 main:574] : INFO : Epoch 2004 | loss: 0.0310891 | val_loss: 0.0311324 | Time: 2501.59 ms [2022-03-13 19:28:16 main:574] : INFO : Epoch 2005 | loss: 0.0310914 | val_loss: 0.0311286 | Time: 2260.15 ms [2022-03-13 19:28:18 main:574] : INFO : Epoch 2006 | loss: 0.0310931 | val_loss: 0.0311288 | Time: 2483.45 ms [2022-03-13 19:28:21 main:574] : INFO : Epoch 2007 | loss: 0.0310927 | val_loss: 0.0311283 | Time: 2488.39 ms [2022-03-13 19:28:23 main:574] : INFO : Epoch 2008 | loss: 0.0310919 | val_loss: 0.0311421 | Time: 2366.1 ms [2022-03-13 19:28:26 main:574] : INFO : Epoch 2009 | loss: 0.0310922 | val_loss: 0.0311357 | Time: 2509.62 ms [2022-03-13 19:28:28 main:574] : INFO : Epoch 2010 | loss: 0.0310945 | val_loss: 0.0311311 | Time: 2477.15 ms [2022-03-13 19:28:31 main:574] : INFO : Epoch 2011 | loss: 0.0310989 | val_loss: 0.0311327 | Time: 2490.87 ms [2022-03-13 19:28:33 main:574] : INFO : Epoch 2012 | loss: 0.0310929 | val_loss: 0.0311353 | Time: 2555.48 ms [2022-03-13 19:28:36 main:574] : INFO : Epoch 2013 | loss: 0.0310899 | val_loss: 0.0311339 | Time: 2453.7 ms [2022-03-13 19:28:38 main:574] : INFO : Epoch 2014 | loss: 0.0310895 | val_loss: 0.0311329 | Time: 2270.44 ms [2022-03-13 19:28:40 main:574] : INFO : Epoch 2015 | loss: 0.0310898 | val_loss: 0.0311303 | Time: 2513.12 ms [2022-03-13 19:28:43 main:574] : INFO : Epoch 2016 | loss: 0.031087 | val_loss: 0.0311292 | Time: 2705.15 ms [2022-03-13 19:28:46 main:574] : INFO : Epoch 2017 | loss: 0.031089 | val_loss: 0.0311314 | Time: 2406.33 ms [2022-03-13 19:28:48 main:574] : INFO : Epoch 2018 | loss: 0.0310872 | val_loss: 0.0311323 | Time: 2588.35 ms [2022-03-13 19:28:51 main:574] : INFO : Epoch 2019 | loss: 0.0310879 | val_loss: 0.0311402 | Time: 2495.48 ms [2022-03-13 19:28:53 main:574] : INFO : Epoch 2020 | loss: 0.0310969 | val_loss: 0.0311332 | Time: 2228.36 ms [2022-03-13 19:28:55 main:574] : INFO : Epoch 2021 | loss: 0.0310946 | val_loss: 0.0311348 | Time: 2580.35 ms [2022-03-13 19:28:58 main:574] : INFO : Epoch 2022 | loss: 0.0310951 | val_loss: 0.0311343 | Time: 2597.48 ms [2022-03-13 19:29:00 main:574] : INFO : Epoch 2023 | loss: 0.0310949 | val_loss: 0.0311381 | Time: 2325.93 ms [2022-03-13 19:29:03 main:574] : INFO : Epoch 2024 | loss: 0.0310962 | val_loss: 0.0311366 | Time: 2687.97 ms [2022-03-13 19:29:06 main:574] : INFO : Epoch 2025 | loss: 0.0310935 | val_loss: 0.0311329 | Time: 2440.78 ms [2022-03-13 19:29:08 main:574] : INFO : Epoch 2026 | loss: 0.0310922 | val_loss: 0.0311416 | Time: 2306.07 ms [2022-03-13 19:29:10 main:574] : INFO : Epoch 2027 | loss: 0.0310917 | val_loss: 0.0311399 | Time: 2558.36 ms [2022-03-13 19:29:13 main:574] : INFO : Epoch 2028 | loss: 0.0310971 | val_loss: 0.0311308 | Time: 2575.68 ms [2022-03-13 19:29:15 main:574] : INFO : Epoch 2029 | loss: 0.0310971 | val_loss: 0.0311319 | Time: 2297.31 ms [2022-03-13 19:29:18 main:574] : INFO : Epoch 2030 | loss: 0.0311037 | val_loss: 0.0311418 | Time: 2598.81 ms [2022-03-13 19:29:20 main:574] : INFO : Epoch 2031 | loss: 0.0311275 | val_loss: 0.0311429 | Time: 2436.07 ms [2022-03-13 19:29:23 main:574] : INFO : Epoch 2032 | loss: 0.0311239 | val_loss: 0.0311388 | Time: 2282.51 ms [2022-03-13 19:29:25 main:574] : INFO : Epoch 2033 | loss: 0.0311168 | val_loss: 0.0311366 | Time: 2491.46 ms [2022-03-13 19:29:28 main:574] : INFO : Epoch 2034 | loss: 0.031114 | val_loss: 0.0311362 | Time: 2519.26 ms [2022-03-13 19:29:30 main:574] : INFO : Epoch 2035 | loss: 0.0311182 | val_loss: 0.0311431 | Time: 2338.35 ms [2022-03-13 19:29:33 main:574] : INFO : Epoch 2036 | loss: 0.0311171 | val_loss: 0.0311406 | Time: 2738.79 ms [2022-03-13 19:29:35 main:574] : INFO : Epoch 2037 | loss: 0.0311136 | val_loss: 0.0311371 | Time: 2448.31 ms [2022-03-13 19:29:37 main:574] : INFO : Epoch 2038 | loss: 0.0311117 | val_loss: 0.0311457 | Time: 2277.53 ms [2022-03-13 19:29:40 main:574] : INFO : Epoch 2039 | loss: 0.0311113 | val_loss: 0.0311443 | Time: 2662.42 ms [2022-03-13 19:29:43 main:574] : INFO : Epoch 2040 | loss: 0.0311069 | val_loss: 0.0311428 | Time: 2494.1 ms [2022-03-13 19:29:45 main:574] : INFO : Epoch 2041 | loss: 0.0311074 | val_loss: 0.0311377 | Time: 2326.06 ms [2022-03-13 19:29:48 main:574] : INFO : Epoch 2042 | loss: 0.031103 | val_loss: 0.0311376 | Time: 2746.44 ms [2022-03-13 19:29:50 main:574] : INFO : Epoch 2043 | loss: 0.0311018 | val_loss: 0.0311359 | Time: 2495.34 ms [2022-03-13 19:29:52 main:574] : INFO : Epoch 2044 | loss: 0.0311004 | val_loss: 0.0311357 | Time: 2246.3 ms [2022-03-13 19:29:55 main:574] : INFO : Epoch 2045 | loss: 0.031099 | val_loss: 0.0311376 | Time: 2834.99 ms [2022-03-13 19:29:58 main:574] : INFO : Epoch 2046 | loss: 0.0310978 | val_loss: 0.0311419 | Time: 2436.68 ms [2022-03-13 19:30:00 main:574] : INFO : Epoch 2047 | loss: 0.0310945 | val_loss: 0.03114 | Time: 2389.38 ms [2022-03-13 19:30:03 main:574] : INFO : Epoch 2048 | loss: 0.0310945 | val_loss: 0.0311362 | Time: 2629.06 ms [2022-03-13 19:30:03 main:597] : INFO : Saving trained model to model-final.pt, val_loss 0.0311362 [2022-03-13 19:30:03 main:603] : INFO : Saving end state to config to file [2022-03-13 19:30:03 main:608] : INFO : Success, exiting.. 19:30:03 (16908): 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)