Task 5138946
| Name | ParityMachine-1619580169-17225-1_0 |
| Workunit | 3086834 |
| Created | 3 May 2021, 15:37:17 UTC |
| Sent | 13 May 2021, 9:53:38 UTC |
| Report deadline | 20 May 2021, 9:53:38 UTC |
| Received | 15 May 2021, 15:46:17 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 1764 |
| Run time | 5 hours 57 min 5 sec |
| CPU time | 5 hours 53 min 42 sec |
| Validate state | Valid |
| Credit | 4,160.00 |
| Device peak FLOPS | 9,398.37 GFLOPS |
| Application version | Machine Learning Dataset Generator (GPU) v9.75 (cuda10200) windows_x86_64 |
| Peak working set size | 1.65 GB |
| Peak swap size | 2.75 GB |
| Peak disk usage | 1.54 GB |
Stderr output
<core_client_version>7.16.11</core_client_version> <![CDATA[ <stderr_txt> | val_loss: 0.0311997 | Time: 10293 ms [2021-05-15 06:51:58 main:574] : INFO : Epoch 1765 | loss: 0.0310791 | val_loss: 0.0311913 | Time: 10194.1 ms [2021-05-15 06:52:08 main:574] : INFO : Epoch 1766 | loss: 0.0310804 | val_loss: 0.0311962 | Time: 10060.7 ms [2021-05-15 06:52:18 main:574] : INFO : Epoch 1767 | loss: 0.0310788 | val_loss: 0.0311939 | Time: 10178.7 ms [2021-05-15 06:52:28 main:574] : INFO : Epoch 1768 | loss: 0.0310751 | val_loss: 0.0311971 | Time: 10392.6 ms [2021-05-15 06:52:39 main:574] : INFO : Epoch 1769 | loss: 0.0310754 | val_loss: 0.031204 | Time: 10230 ms [2021-05-15 06:52:49 main:574] : INFO : Epoch 1770 | loss: 0.0310769 | val_loss: 0.0312003 | Time: 10229.2 ms [2021-05-15 06:52:59 main:574] : INFO : Epoch 1771 | loss: 0.0310805 | val_loss: 0.0311959 | Time: 10072.3 ms [2021-05-15 06:53:09 main:574] : INFO : Epoch 1772 | loss: 0.0310934 | val_loss: 0.0311982 | Time: 9769.23 ms [2021-05-15 06:53:18 main:574] : INFO : Epoch 1773 | loss: 0.0310945 | val_loss: 0.0311876 | Time: 9409.99 ms [2021-05-15 06:53:28 main:574] : INFO : Epoch 1774 | loss: 0.0310894 | val_loss: 0.0311991 | Time: 9492.42 ms [2021-05-15 06:53:37 main:574] : INFO : Epoch 1775 | loss: 0.0310831 | val_loss: 0.0311994 | Time: 9679.44 ms [2021-05-15 06:53:47 main:574] : INFO : Epoch 1776 | loss: 0.0310845 | val_loss: 0.0311915 | Time: 9721.4 ms [2021-05-15 06:53:57 main:574] : INFO : Epoch 1777 | loss: 0.0310849 | val_loss: 0.0311974 | Time: 9600.75 ms [2021-05-15 06:54:06 main:574] : INFO : Epoch 1778 | loss: 0.0310804 | val_loss: 0.0312027 | Time: 9403.07 ms [2021-05-15 06:54:16 main:574] : INFO : Epoch 1779 | loss: 0.0310786 | val_loss: 0.0312057 | Time: 9440.62 ms [2021-05-15 06:54:25 main:574] : INFO : Epoch 1780 | loss: 0.0310774 | val_loss: 0.0311964 | Time: 9471.72 ms [2021-05-15 06:54:35 main:574] : INFO : Epoch 1781 | loss: 0.0310801 | val_loss: 0.0312011 | Time: 9656.65 ms [2021-05-15 06:54:45 main:574] : INFO : Epoch 1782 | loss: 0.031084 | val_loss: 0.0312027 | Time: 9817.15 ms [2021-05-15 06:54:54 main:574] : INFO : Epoch 1783 | loss: 0.0310817 | val_loss: 0.0311891 | Time: 9601.02 ms [2021-05-15 06:55:04 main:574] : INFO : Epoch 1784 | loss: 0.0310826 | val_loss: 0.0312083 | Time: 9423.63 ms [2021-05-15 06:55:13 main:574] : INFO : Epoch 1785 | loss: 0.0310893 | val_loss: 0.0311941 | Time: 9512.42 ms [2021-05-15 06:55:23 main:574] : INFO : Epoch 1786 | loss: 0.0311041 | val_loss: 0.0311853 | Time: 9419.15 ms [2021-05-15 06:55:32 main:574] : INFO : Epoch 1787 | loss: 0.0310918 | val_loss: 0.0312014 | Time: 9550.42 ms [2021-05-15 06:55:42 main:574] : INFO : Epoch 1788 | loss: 0.0310901 | val_loss: 0.0311934 | Time: 9581.41 ms [2021-05-15 06:55:51 main:574] : INFO : Epoch 1789 | loss: 0.0310894 | val_loss: 0.0312001 | Time: 9548.25 ms [2021-05-15 06:56:01 main:574] : INFO : Epoch 1790 | loss: 0.0310809 | val_loss: 0.0311991 | Time: 9634.91 ms [2021-05-15 06:56:11 main:574] : INFO : Epoch 1791 | loss: 0.0310762 | val_loss: 0.0311876 | Time: 9484.08 ms [2021-05-15 06:56:20 main:574] : INFO : Epoch 1792 | loss: 0.031077 | val_loss: 0.0311906 | Time: 9397.94 ms [2021-05-15 06:56:29 main:574] : INFO : Epoch 1793 | loss: 0.0310762 | val_loss: 0.0312063 | Time: 9456.65 ms [2021-05-15 06:56:39 main:574] : INFO : Epoch 1794 | loss: 0.0310724 | val_loss: 0.031198 | Time: 9566.27 ms [2021-05-15 06:56:49 main:574] : INFO : Epoch 1795 | loss: 0.031079 | val_loss: 0.03121 | Time: 9616.55 ms [2021-05-15 06:56:58 main:574] : INFO : Epoch 1796 | loss: 0.0310828 | val_loss: 0.0311928 | Time: 9662.24 ms [2021-05-15 06:57:08 main:574] : INFO : Epoch 1797 | loss: 0.0310775 | val_loss: 0.0311985 | Time: 9470.37 ms [2021-05-15 06:57:17 main:574] : INFO : Epoch 1798 | loss: 0.0310776 | val_loss: 0.0312035 | Time: 9352.55 ms [2021-05-15 06:57:27 main:574] : INFO : Epoch 1799 | loss: 0.0310781 | val_loss: 0.0311974 | Time: 9425.5 ms [2021-05-15 06:57:36 main:574] : INFO : Epoch 1800 | loss: 0.0310822 | val_loss: 0.0311877 | Time: 9587.72 ms [2021-05-15 06:57:46 main:574] : INFO : Epoch 1801 | loss: 0.0310766 | val_loss: 0.0311997 | Time: 9815.13 ms [2021-05-15 06:57:56 main:574] : INFO : Epoch 1802 | loss: 0.031073 | val_loss: 0.0311992 | Time: 9652.06 ms [2021-05-15 06:58:05 main:574] : INFO : Epoch 1803 | loss: 0.0310742 | val_loss: 0.0311987 | Time: 9472.49 ms [2021-05-15 06:58:15 main:574] : INFO : Epoch 1804 | loss: 0.0310791 | val_loss: 0.0312121 | Time: 9373.58 ms [2021-05-15 06:58:24 main:574] : INFO : Epoch 1805 | loss: 0.0310816 | val_loss: 0.0312148 | Time: 9338.32 ms [2021-05-15 06:58:33 main:574] : INFO : Epoch 1806 | loss: 0.0310857 | val_loss: 0.0311904 | Time: 9491.64 ms [2021-05-15 06:58:43 main:574] : INFO : Epoch 1807 | loss: 0.0311055 | val_loss: 0.0311828 | Time: 9659.6 ms [2021-05-15 06:58:53 main:574] : INFO : Epoch 1808 | loss: 0.031101 | val_loss: 0.0311824 | Time: 9670.8 ms [2021-05-15 06:59:02 main:574] : INFO : Epoch 1809 | loss: 0.0311164 | val_loss: 0.0311834 | Time: 9598.16 ms [2021-05-15 06:59:12 main:574] : INFO : Epoch 1810 | loss: 0.0311066 | val_loss: 0.0311899 | Time: 9398.92 ms [2021-05-15 06:59:21 main:574] : INFO : Epoch 1811 | loss: 0.0310935 | val_loss: 0.0311946 | Time: 9405.28 ms [2021-05-15 06:59:31 main:574] : INFO : Epoch 1812 | loss: 0.0310872 | val_loss: 0.0312 | Time: 9371.67 ms [2021-05-15 06:59:40 main:574] : INFO : Epoch 1813 | loss: 0.0310808 | val_loss: 0.0311857 | Time: 9634.92 ms [2021-05-15 06:59:50 main:574] : INFO : Epoch 1814 | loss: 0.0310942 | val_loss: 0.0311897 | Time: 9626.2 ms [2021-05-15 06:59:59 main:574] : INFO : Epoch 1815 | loss: 0.0311009 | val_loss: 0.0311888 | Time: 9565.35 ms [2021-05-15 07:00:09 main:574] : INFO : Epoch 1816 | loss: 0.0310899 | val_loss: 0.0311942 | Time: 9424 ms [2021-05-15 07:00:18 main:574] : INFO : Epoch 1817 | loss: 0.0310893 | val_loss: 0.0311937 | Time: 9474.47 ms [2021-05-15 07:00:28 main:574] : INFO : Epoch 1818 | loss: 0.0310815 | val_loss: 0.031196 | Time: 9471.09 ms [2021-05-15 07:00:37 main:574] : INFO : Epoch 1819 | loss: 0.0310805 | val_loss: 0.0311889 | Time: 9537.76 ms [2021-05-15 07:00:47 main:574] : INFO : Epoch 1820 | loss: 0.0310816 | val_loss: 0.0311961 | Time: 9622.75 ms [2021-05-15 07:00:57 main:574] : INFO : Epoch 1821 | loss: 0.0310808 | val_loss: 0.0311874 | Time: 9626.63 ms [2021-05-15 07:01:06 main:574] : INFO : Epoch 1822 | loss: 0.0310809 | val_loss: 0.0311914 | Time: 9554.61 ms [2021-05-15 07:01:16 main:574] : INFO : Epoch 1823 | loss: 0.0310819 | val_loss: 0.0311972 | Time: 9435.57 ms [2021-05-15 07:01:25 main:574] : INFO : Epoch 1824 | loss: 0.0310795 | val_loss: 0.031204 | Time: 9440.44 ms [2021-05-15 07:01:35 main:574] : INFO : Epoch 1825 | loss: 0.031125 | val_loss: 0.0311706 | Time: 9401.43 ms [2021-05-15 07:01:44 main:574] : INFO : Epoch 1826 | loss: 0.0311253 | val_loss: 0.0311753 | Time: 9654.29 ms [2021-05-15 07:01:54 main:574] : INFO : Epoch 1827 | loss: 0.0311198 | val_loss: 0.0311737 | Time: 9618.74 ms [2021-05-15 07:02:04 main:574] : INFO : Epoch 1828 | loss: 0.0311092 | val_loss: 0.0311752 | Time: 9659.79 ms [2021-05-15 07:02:13 main:574] : INFO : Epoch 1829 | loss: 0.0311005 | val_loss: 0.031183 | Time: 9424.19 ms [2021-05-15 07:02:23 main:574] : INFO : Epoch 1830 | loss: 0.0310921 | val_loss: 0.0311824 | Time: 9451.67 ms [2021-05-15 07:02:32 main:574] : INFO : Epoch 1831 | loss: 0.0310922 | val_loss: 0.0311842 | Time: 9363.89 ms [2021-05-15 07:02:42 main:574] : INFO : Epoch 1832 | loss: 0.0310892 | val_loss: 0.0312029 | Time: 9549.28 ms [2021-05-15 07:02:51 main:574] : INFO : Epoch 1833 | loss: 0.0310967 | val_loss: 0.0312072 | Time: 9599.17 ms [2021-05-15 07:03:01 main:574] : INFO : Epoch 1834 | loss: 0.0310881 | val_loss: 0.0311911 | Time: 9603.12 ms [2021-05-15 07:03:11 main:574] : INFO : Epoch 1835 | loss: 0.0310812 | val_loss: 0.0311843 | Time: 9746.57 ms [2021-05-15 07:03:20 main:574] : INFO : Epoch 1836 | loss: 0.0310785 | val_loss: 0.0311972 | Time: 9358.67 ms [2021-05-15 07:03:29 main:574] : INFO : Epoch 1837 | loss: 0.0310793 | val_loss: 0.0311972 | Time: 9350.95 ms [2021-05-15 07:03:39 main:574] : INFO : Epoch 1838 | loss: 0.0310742 | val_loss: 0.0311992 | Time: 9547.18 ms [2021-05-15 07:03:49 main:574] : INFO : Epoch 1839 | loss: 0.0310747 | val_loss: 0.0311948 | Time: 9625.84 ms [2021-05-15 07:03:58 main:574] : INFO : Epoch 1840 | loss: 0.0310742 | val_loss: 0.0311981 | Time: 9678.57 ms [2021-05-15 07:04:08 main:574] : INFO : Epoch 1841 | loss: 0.0310738 | val_loss: 0.0312001 | Time: 9566.14 ms [2021-05-15 07:04:17 main:574] : INFO : Epoch 1842 | loss: 0.0310712 | val_loss: 0.0312095 | Time: 9452.82 ms [2021-05-15 07:04:27 main:574] : INFO : Epoch 1843 | loss: 0.0310759 | val_loss: 0.0311994 | Time: 9451.37 ms [2021-05-15 07:04:36 main:574] : INFO : Epoch 1844 | loss: 0.0310729 | val_loss: 0.0311933 | Time: 9400.67 ms [2021-05-15 07:04:46 main:574] : INFO : Epoch 1845 | loss: 0.0310781 | val_loss: 0.0311938 | Time: 9724 ms [2021-05-15 07:04:56 main:574] : INFO : Epoch 1846 | loss: 0.0310837 | val_loss: 0.0311821 | Time: 9655.1 ms [2021-05-15 07:05:05 main:574] : INFO : Epoch 1847 | loss: 0.0310809 | val_loss: 0.031191 | Time: 9660.77 ms [2021-05-15 07:05:15 main:574] : INFO : Epoch 1848 | loss: 0.031074 | val_loss: 0.0312057 | Time: 9447.79 ms [2021-05-15 07:05:24 main:574] : INFO : Epoch 1849 | loss: 0.0310881 | val_loss: 0.0311827 | Time: 9413.87 ms [2021-05-15 07:05:34 main:574] : INFO : Epoch 1850 | loss: 0.0310813 | val_loss: 0.0311951 | Time: 9388.33 ms [2021-05-15 07:05:43 main:574] : INFO : Epoch 1851 | loss: 0.0310794 | val_loss: 0.0312 | Time: 9582.54 ms [2021-05-15 07:05:53 main:574] : INFO : Epoch 1852 | loss: 0.0310748 | val_loss: 0.0312021 | Time: 9668.83 ms [2021-05-15 07:06:03 main:574] : INFO : Epoch 1853 | loss: 0.0310703 | val_loss: 0.0312004 | Time: 9661.29 ms [2021-05-15 07:06:12 main:574] : INFO : Epoch 1854 | loss: 0.0310686 | val_loss: 0.0311993 | Time: 9559.66 ms [2021-05-15 07:06:21 main:574] : INFO : Epoch 1855 | loss: 0.0310677 | val_loss: 0.0312149 | Time: 9392.05 ms [2021-05-15 07:06:31 main:574] : INFO : Epoch 1856 | loss: 0.0310771 | val_loss: 0.0312042 | Time: 9382.78 ms [2021-05-15 07:06:40 main:574] : INFO : Epoch 1857 | loss: 0.0310776 | val_loss: 0.0311967 | Time: 9437.05 ms [2021-05-15 07:06:50 main:574] : INFO : Epoch 1858 | loss: 0.0310769 | val_loss: 0.0311998 | Time: 9655.05 ms [2021-05-15 07:07:00 main:574] : INFO : Epoch 1859 | loss: 0.031074 | val_loss: 0.0312127 | Time: 9649.69 ms [2021-05-15 07:07:09 main:574] : INFO : Epoch 1860 | loss: 0.0310725 | val_loss: 0.0311922 | Time: 9691.37 ms [2021-05-15 07:07:19 main:574] : INFO : Epoch 1861 | loss: 0.0310705 | val_loss: 0.031198 | Time: 9375.81 ms [2021-05-15 07:07:28 main:574] : INFO : Epoch 1862 | loss: 0.0310727 | val_loss: 0.0312254 | Time: 9405.94 ms [2021-05-15 07:07:38 main:574] : INFO : Epoch 1863 | loss: 0.0311003 | val_loss: 0.0311828 | Time: 9478.5 ms [2021-05-15 07:07:47 main:574] : INFO : Epoch 1864 | loss: 0.0311002 | val_loss: 0.031188 | Time: 9628.21 ms [2021-05-15 07:07:57 main:574] : INFO : Epoch 1865 | loss: 0.031087 | val_loss: 0.0312008 | Time: 9595.86 ms [2021-05-15 07:08:06 main:574] : INFO : Epoch 1866 | loss: 0.0310816 | val_loss: 0.0311898 | Time: 9588.25 ms [2021-05-15 07:08:16 main:574] : INFO : Epoch 1867 | loss: 0.0310825 | val_loss: 0.0312034 | Time: 9491.11 ms [2021-05-15 07:08:25 main:574] : INFO : Epoch 1868 | loss: 0.0310763 | val_loss: 0.0312088 | Time: 9430.23 ms [2021-05-15 07:08:35 main:574] : INFO : Epoch 1869 | loss: 0.0310761 | val_loss: 0.0312099 | Time: 9424.8 ms [2021-05-15 07:08:44 main:574] : INFO : Epoch 1870 | loss: 0.0310766 | val_loss: 0.0312098 | Time: 9543.94 ms [2021-05-15 07:08:54 main:574] : INFO : Epoch 1871 | loss: 0.0310761 | val_loss: 0.0311909 | Time: 9664.04 ms [2021-05-15 07:09:04 main:574] : INFO : Epoch 1872 | loss: 0.0310746 | val_loss: 0.0312033 | Time: 9718.66 ms [2021-05-15 07:09:13 main:574] : INFO : Epoch 1873 | loss: 0.031072 | val_loss: 0.0311924 | Time: 9630.62 ms [2021-05-15 07:09:23 main:574] : INFO : Epoch 1874 | loss: 0.0310773 | val_loss: 0.0312081 | Time: 9424.81 ms [2021-05-15 07:09:32 main:574] : INFO : Epoch 1875 | loss: 0.0310816 | val_loss: 0.0311898 | Time: 9468.71 ms [2021-05-15 07:09:42 main:574] : INFO : Epoch 1876 | loss: 0.0310766 | val_loss: 0.0312092 | Time: 9458.58 ms [2021-05-15 07:09:51 main:574] : INFO : Epoch 1877 | loss: 0.0310744 | val_loss: 0.0311998 | Time: 9631.3 ms [2021-05-15 07:10:01 main:574] : INFO : Epoch 1878 | loss: 0.0310727 | val_loss: 0.031218 | Time: 9571.25 ms [2021-05-15 07:10:11 main:574] : INFO : Epoch 1879 | loss: 0.031074 | val_loss: 0.0311884 | Time: 9623.46 ms [2021-05-15 07:10:20 main:574] : INFO : Epoch 1880 | loss: 0.0310692 | val_loss: 0.031211 | Time: 9490.88 ms [2021-05-15 07:10:30 main:574] : INFO : Epoch 1881 | loss: 0.0310675 | val_loss: 0.0312115 | Time: 9491.59 ms [2021-05-15 07:10:39 main:574] : INFO : Epoch 1882 | loss: 0.0310844 | val_loss: 0.0312015 | Time: 9451.99 ms [2021-05-15 07:10:49 main:574] : INFO : Epoch 1883 | loss: 0.0310753 | val_loss: 0.0312068 | Time: 9547.04 ms [2021-05-15 07:10:58 main:574] : INFO : Epoch 1884 | loss: 0.0310692 | val_loss: 0.0312027 | Time: 9736.23 ms [2021-05-15 07:11:08 main:574] : INFO : Epoch 1885 | loss: 0.0310703 | val_loss: 0.0312185 | Time: 9662.5 ms [2021-05-15 07:11:18 main:574] : INFO : Epoch 1886 | loss: 0.0310685 | val_loss: 0.0311956 | Time: 9569.81 ms [2021-05-15 07:11:27 main:574] : INFO : Epoch 1887 | loss: 0.0310653 | val_loss: 0.031216 | Time: 9432.63 ms [2021-05-15 07:11:37 main:574] : INFO : Epoch 1888 | loss: 0.031068 | val_loss: 0.0311998 | Time: 9381.09 ms [2021-05-15 07:11:46 main:574] : INFO : Epoch 1889 | loss: 0.0310789 | val_loss: 0.0312078 | Time: 9463.06 ms [2021-05-15 07:11:56 main:574] : INFO : Epoch 1890 | loss: 0.0310737 | val_loss: 0.0312107 | Time: 9680.57 ms [2021-05-15 07:12:05 main:574] : INFO : Epoch 1891 | loss: 0.0310702 | val_loss: 0.03121 | Time: 9729.22 ms [2021-05-15 07:12:15 main:574] : INFO : Epoch 1892 | loss: 0.031069 | val_loss: 0.0312106 | Time: 9704.13 ms [2021-05-15 07:12:25 main:574] : INFO : Epoch 1893 | loss: 0.0310675 | val_loss: 0.0312084 | Time: 9518.86 ms [2021-05-15 07:12:34 main:574] : INFO : Epoch 1894 | loss: 0.0310693 | val_loss: 0.0312046 | Time: 9593.64 ms [2021-05-15 07:12:44 main:574] : INFO : Epoch 1895 | loss: 0.0310667 | val_loss: 0.0312029 | Time: 9544.43 ms [2021-05-15 07:12:54 main:574] : INFO : Epoch 1896 | loss: 0.0310757 | val_loss: 0.0312105 | Time: 9633.66 ms [2021-05-15 07:13:03 main:574] : INFO : Epoch 1897 | loss: 0.0310741 | val_loss: 0.031203 | Time: 9623.65 ms [2021-05-15 07:13:13 main:574] : INFO : Epoch 1898 | loss: 0.0310704 | val_loss: 0.0312081 | Time: 10071.1 ms [2021-05-15 07:13:23 main:574] : INFO : Epoch 1899 | loss: 0.0310684 | val_loss: 0.0312123 | Time: 9603.39 ms [2021-05-15 07:13:32 main:574] : INFO : Epoch 1900 | loss: 0.0310706 | val_loss: 0.0312046 | Time: 9490.04 ms [2021-05-15 07:13:42 main:574] : INFO : Epoch 1901 | loss: 0.0310674 | val_loss: 0.0312263 | Time: 9408.19 ms [2021-05-15 07:13:51 main:574] : INFO : Epoch 1902 | loss: 0.0310661 | val_loss: 0.0312273 | Time: 9528.66 ms [2021-05-15 07:14:01 main:574] : INFO : Epoch 1903 | loss: 0.03107 | val_loss: 0.0312069 | Time: 9675.92 ms [2021-05-15 07:14:11 main:574] : INFO : Epoch 1904 | loss: 0.0310837 | val_loss: 0.0311848 | Time: 9664.19 ms [2021-05-15 07:14:20 main:574] : INFO : Epoch 1905 | loss: 0.03109 | val_loss: 0.0312115 | Time: 9704.96 ms [2021-05-15 07:14:30 main:574] : INFO : Epoch 1906 | loss: 0.0310871 | val_loss: 0.0312054 | Time: 9461.31 ms [2021-05-15 07:14:39 main:574] : INFO : Epoch 1907 | loss: 0.0310828 | val_loss: 0.031196 | Time: 9432.45 ms [2021-05-15 07:14:49 main:574] : INFO : Epoch 1908 | loss: 0.0310805 | val_loss: 0.0312067 | Time: 9493.39 ms [2021-05-15 07:14:58 main:574] : INFO : Epoch 1909 | loss: 0.0310779 | val_loss: 0.0311998 | Time: 9629.84 ms [2021-05-15 07:15:08 main:574] : INFO : Epoch 1910 | loss: 0.0310779 | val_loss: 0.031198 | Time: 9685.46 ms [2021-05-15 07:15:18 main:574] : INFO : Epoch 1911 | loss: 0.0310932 | val_loss: 0.0312005 | Time: 9704.49 ms [2021-05-15 07:15:28 main:574] : INFO : Epoch 1912 | loss: 0.0311001 | val_loss: 0.0312125 | Time: 9520.46 ms [2021-05-15 07:15:37 main:574] : INFO : Epoch 1913 | loss: 0.0310818 | val_loss: 0.031208 | Time: 9411.34 ms [2021-05-15 07:15:47 main:574] : INFO : Epoch 1914 | loss: 0.0310733 | val_loss: 0.0312017 | Time: 9447.33 ms [2021-05-15 07:15:56 main:574] : INFO : Epoch 1915 | loss: 0.0310779 | val_loss: 0.0312094 | Time: 9572.27 ms [2021-05-15 07:16:06 main:574] : INFO : Epoch 1916 | loss: 0.0310749 | val_loss: 0.0312199 | Time: 10057.5 ms [2021-05-15 07:16:16 main:574] : INFO : Epoch 1917 | loss: 0.031078 | val_loss: 0.031208 | Time: 9753.1 ms [2021-05-15 07:16:25 main:574] : INFO : Epoch 1918 | loss: 0.0310766 | val_loss: 0.0312096 | Time: 9430.87 ms [2021-05-15 07:16:35 main:574] : INFO : Epoch 1919 | loss: 0.0310722 | val_loss: 0.0312153 | Time: 9449.11 ms [2021-05-15 07:16:44 main:574] : INFO : Epoch 1920 | loss: 0.0310671 | val_loss: 0.0312103 | Time: 9464.08 ms [2021-05-15 07:16:54 main:574] : INFO : Epoch 1921 | loss: 0.0310673 | val_loss: 0.0312081 | Time: 9534.88 ms [2021-05-15 07:17:04 main:574] : INFO : Epoch 1922 | loss: 0.0310641 | val_loss: 0.0312094 | Time: 9722.92 ms [2021-05-15 07:17:13 main:574] : INFO : Epoch 1923 | loss: 0.0310682 | val_loss: 0.0312167 | Time: 9727.53 ms [2021-05-15 07:17:23 main:574] : INFO : Epoch 1924 | loss: 0.0310685 | val_loss: 0.0311908 | Time: 9572.9 ms [2021-05-15 07:17:33 main:574] : INFO : Epoch 1925 | loss: 0.0310755 | val_loss: 0.0312056 | Time: 9565.01 ms [2021-05-15 07:17:42 main:574] : INFO : Epoch 1926 | loss: 0.0310763 | val_loss: 0.0311939 | Time: 9409.46 ms [2021-05-15 07:17:51 main:574] : INFO : Epoch 1927 | loss: 0.0310803 | val_loss: 0.0311867 | Time: 9527.91 ms [2021-05-15 07:18:01 main:574] : INFO : Epoch 1928 | loss: 0.0310755 | val_loss: 0.0312072 | Time: 9665.86 ms [2021-05-15 07:18:11 main:574] : INFO : Epoch 1929 | loss: 0.0310701 | val_loss: 0.0311989 | Time: 9716.61 ms [2021-05-15 07:18:21 main:574] : INFO : Epoch 1930 | loss: 0.0310646 | val_loss: 0.031213 | Time: 9722.35 ms [2021-05-15 07:18:30 main:574] : INFO : Epoch 1931 | loss: 0.0310666 | val_loss: 0.0312123 | Time: 9461.08 ms [2021-05-15 07:18:40 main:574] : INFO : Epoch 1932 | loss: 0.0310652 | val_loss: 0.0312096 | Time: 9375.22 ms [2021-05-15 07:18:49 main:574] : INFO : Epoch 1933 | loss: 0.0310757 | val_loss: 0.031205 | Time: 9421.98 ms [2021-05-15 07:18:59 main:574] : INFO : Epoch 1934 | loss: 0.0310743 | val_loss: 0.0312074 | Time: 9620.74 ms [2021-05-15 07:19:08 main:574] : INFO : Epoch 1935 | loss: 0.0310774 | val_loss: 0.0312089 | Time: 9733.3 ms [2021-05-15 07:19:18 main:574] : INFO : Epoch 1936 | loss: 0.0310778 | val_loss: 0.0312025 | Time: 9674.67 ms [2021-05-15 07:19:28 main:574] : INFO : Epoch 1937 | loss: 0.0310791 | val_loss: 0.0311926 | Time: 9517.96 ms [2021-05-15 07:19:37 main:574] : INFO : Epoch 1938 | loss: 0.0310729 | val_loss: 0.0312212 | Time: 9357.76 ms [2021-05-15 07:19:47 main:574] : INFO : Epoch 1939 | loss: 0.0310649 | val_loss: 0.0312119 | Time: 9771.56 ms [2021-05-15 07:19:56 main:574] : INFO : Epoch 1940 | loss: 0.0310694 | val_loss: 0.0312044 | Time: 9576.21 ms [2021-05-15 07:20:06 main:574] : INFO : Epoch 1941 | loss: 0.0310688 | val_loss: 0.0311986 | Time: 9736.89 ms [2021-05-15 07:20:16 main:574] : INFO : Epoch 1942 | loss: 0.0310708 | val_loss: 0.0312201 | Time: 9624.8 ms [2021-05-15 07:20:26 main:574] : INFO : Epoch 1943 | loss: 0.0310629 | val_loss: 0.0311974 | Time: 9702.19 ms [2021-05-15 07:20:35 main:574] : INFO : Epoch 1944 | loss: 0.0310655 | val_loss: 0.0312145 | Time: 9471.14 ms [2021-05-15 07:20:44 main:574] : INFO : Epoch 1945 | loss: 0.0310702 | val_loss: 0.0312068 | Time: 9371.66 ms [2021-05-15 07:20:54 main:574] : INFO : Epoch 1946 | loss: 0.031071 | val_loss: 0.0312092 | Time: 9383.51 ms [2021-05-15 07:21:03 main:574] : INFO : Epoch 1947 | loss: 0.0310671 | val_loss: 0.0312223 | Time: 9659.65 ms [2021-05-15 07:21:13 main:574] : INFO : Epoch 1948 | loss: 0.0310672 | val_loss: 0.0311993 | Time: 9709.69 ms [2021-05-15 07:21:23 main:574] : INFO : Epoch 1949 | loss: 0.0310661 | val_loss: 0.0312048 | Time: 9595.63 ms [2021-05-15 07:21:32 main:574] : INFO : Epoch 1950 | loss: 0.0310681 | val_loss: 0.0312053 | Time: 9418.65 ms [2021-05-15 07:21:42 main:574] : INFO : Epoch 1951 | loss: 0.0310629 | val_loss: 0.0312126 | Time: 9415.22 ms [2021-05-15 07:21:51 main:574] : INFO : Epoch 1952 | loss: 0.0310613 | val_loss: 0.0312051 | Time: 9435.43 ms Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: GeForce GTX 1080) [2021-05-15 07:57:36 main:435] : INFO : Set logging level to 1 [2021-05-15 07:57:36 main:441] : INFO : Running in BOINC Client mode [2021-05-15 07:57:36 main:444] : INFO : Resolving all filenames [2021-05-15 07:57:36 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 (exists = 1) [2021-05-15 07:57:36 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/ParityMachine-1619580169-17225-1_0_r991468416_1 (exists = 1) [2021-05-15 07:57:36 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/ParityMachine-1619580169-17225-1_0_r991468416_0 (exists = 0) [2021-05-15 07:57:36 main:452] : INFO : Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/ParityMachine-1619580169-17225-1 (exists = 1) [2021-05-15 07:57:36 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1) [2021-05-15 07:57:36 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 [2021-05-15 07:57:36 main:474] : INFO : Configuration: [2021-05-15 07:57:36 main:475] : INFO : Model type: GRU [2021-05-15 07:57:36 main:476] : INFO : Validation Loss Threshold: 0.0001 [2021-05-15 07:57:36 main:477] : INFO : Max Epochs: 2048 [2021-05-15 07:57:36 main:478] : INFO : Batch Size: 128 [2021-05-15 07:57:36 main:479] : INFO : Learning Rate: 0.01 [2021-05-15 07:57:36 main:480] : INFO : Patience: 10 [2021-05-15 07:57:36 main:481] : INFO : Hidden Width: 12 [2021-05-15 07:57:36 main:482] : INFO : # Recurrent Layers: 4 [2021-05-15 07:57:36 main:483] : INFO : # Backend Layers: 4 [2021-05-15 07:57:36 main:484] : INFO : # Threads: 1 [2021-05-15 07:57:36 main:486] : INFO : Preparing Dataset [2021-05-15 07:57:36 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 into memory [2021-05-15 07:57:36 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 into memory [2021-05-15 07:57:39 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2021-05-15 07:57:39 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 into memory [2021-05-15 07:57:39 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 into memory [2021-05-15 07:57:39 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2021-05-15 07:57:39 main:494] : INFO : Creating Model [2021-05-15 07:57:39 main:507] : INFO : Preparing config file [2021-05-15 07:57:39 main:511] : INFO : Found checkpoint, attempting to load... [2021-05-15 07:57:39 main:512] : INFO : Loading config [2021-05-15 07:57:39 main:514] : INFO : Loading state [2021-05-15 07:57:41 main:559] : INFO : Loading DataLoader into Memory [2021-05-15 07:57:41 main:562] : INFO : Starting Training [2021-05-15 07:57:52 main:574] : INFO : Epoch 1948 | loss: 0.0311549 | val_loss: 0.0312123 | Time: 11571.4 ms [2021-05-15 07:58:03 main:574] : INFO : Epoch 1949 | loss: 0.0310832 | val_loss: 0.0312045 | Time: 11083.8 ms [2021-05-15 07:58:15 main:574] : INFO : Epoch 1950 | loss: 0.0310738 | val_loss: 0.0312071 | Time: 11169.3 ms [2021-05-15 07:58:26 main:574] : INFO : Epoch 1951 | loss: 0.0310658 | val_loss: 0.0312184 | Time: 11036.1 ms [2021-05-15 07:58:37 main:574] : INFO : Epoch 1952 | loss: 0.0310717 | val_loss: 0.0312 | Time: 11003.2 ms [2021-05-15 07:58:49 main:574] : INFO : Epoch 1953 | loss: 0.0310712 | val_loss: 0.0312045 | Time: 11858.7 ms [2021-05-15 07:58:59 main:574] : INFO : Epoch 1954 | loss: 0.0310668 | val_loss: 0.0312138 | Time: 10892.3 ms [2021-05-15 07:59:10 main:574] : INFO : Epoch 1955 | loss: 0.031067 | val_loss: 0.0312044 | Time: 10916.9 ms [2021-05-15 07:59:21 main:574] : INFO : Epoch 1956 | loss: 0.0310657 | val_loss: 0.0311961 | Time: 10729.8 ms [2021-05-15 07:59:31 main:574] : INFO : Epoch 1957 | loss: 0.0310701 | val_loss: 0.0312203 | Time: 10380.8 ms [2021-05-15 07:59:42 main:574] : INFO : Epoch 1958 | loss: 0.031082 | val_loss: 0.0311885 | Time: 10486.2 ms [2021-05-15 07:59:52 main:574] : INFO : Epoch 1959 | loss: 0.0310809 | val_loss: 0.0312039 | Time: 10501.3 ms [2021-05-15 08:00:03 main:574] : INFO : Epoch 1960 | loss: 0.0310766 | val_loss: 0.0311971 | Time: 10751.1 ms [2021-05-15 08:00:14 main:574] : INFO : Epoch 1961 | loss: 0.0310774 | val_loss: 0.0312028 | Time: 10977.3 ms [2021-05-15 08:00:25 main:574] : INFO : Epoch 1962 | loss: 0.0310835 | val_loss: 0.0312148 | Time: 10954.5 ms [2021-05-15 08:00:36 main:574] : INFO : Epoch 1963 | loss: 0.0310773 | val_loss: 0.031204 | Time: 10744.7 ms [2021-05-15 08:00:47 main:574] : INFO : Epoch 1964 | loss: 0.0310686 | val_loss: 0.0312201 | Time: 10652.8 ms Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: GeForce GTX 1080) [2021-05-15 08:36:53 main:435] : INFO : Set logging level to 1 [2021-05-15 08:36:53 main:441] : INFO : Running in BOINC Client mode [2021-05-15 08:36:53 main:444] : INFO : Resolving all filenames [2021-05-15 08:36:53 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 (exists = 1) [2021-05-15 08:36:54 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/ParityMachine-1619580169-17225-1_0_r991468416_1 (exists = 1) [2021-05-15 08:36:54 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/ParityMachine-1619580169-17225-1_0_r991468416_0 (exists = 0) [2021-05-15 08:36:54 main:452] : INFO : Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/ParityMachine-1619580169-17225-1 (exists = 1) [2021-05-15 08:36:54 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1) [2021-05-15 08:36:54 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 [2021-05-15 08:36:54 main:474] : INFO : Configuration: [2021-05-15 08:36:54 main:475] : INFO : Model type: GRU [2021-05-15 08:36:54 main:476] : INFO : Validation Loss Threshold: 0.0001 [2021-05-15 08:36:54 main:477] : INFO : Max Epochs: 2048 [2021-05-15 08:36:54 main:478] : INFO : Batch Size: 128 [2021-05-15 08:36:54 main:479] : INFO : Learning Rate: 0.01 [2021-05-15 08:36:54 main:480] : INFO : Patience: 10 [2021-05-15 08:36:54 main:481] : INFO : Hidden Width: 12 [2021-05-15 08:36:54 main:482] : INFO : # Recurrent Layers: 4 [2021-05-15 08:36:54 main:483] : INFO : # Backend Layers: 4 [2021-05-15 08:36:54 main:484] : INFO : # Threads: 1 [2021-05-15 08:36:54 main:486] : INFO : Preparing Dataset [2021-05-15 08:36:54 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 into memory [2021-05-15 08:36:54 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 into memory [2021-05-15 08:36:57 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2021-05-15 08:36:57 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 into memory [2021-05-15 08:36:57 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 into memory [2021-05-15 08:36:57 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2021-05-15 08:36:57 main:494] : INFO : Creating Model [2021-05-15 08:36:57 main:507] : INFO : Preparing config file [2021-05-15 08:36:57 main:511] : INFO : Found checkpoint, attempting to load... [2021-05-15 08:36:57 main:512] : INFO : Loading config [2021-05-15 08:36:57 main:514] : INFO : Loading state [2021-05-15 08:36:58 main:559] : INFO : Loading DataLoader into Memory [2021-05-15 08:36:58 main:562] : INFO : Starting Training [2021-05-15 08:37:10 main:574] : INFO : Epoch 1965 | loss: 0.0312045 | val_loss: 0.0312438 | Time: 11586.2 ms [2021-05-15 08:37:21 main:574] : INFO : Epoch 1966 | loss: 0.0311062 | val_loss: 0.0312124 | Time: 11370.2 ms Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: GeForce GTX 1080) [2021-05-15 08:53:54 main:435] : INFO : Set logging level to 1 [2021-05-15 08:53:54 main:441] : INFO : Running in BOINC Client mode [2021-05-15 08:53:54 main:444] : INFO : Resolving all filenames [2021-05-15 08:53:54 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 (exists = 1) [2021-05-15 08:53:54 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/ParityMachine-1619580169-17225-1_0_r991468416_1 (exists = 1) [2021-05-15 08:53:54 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/ParityMachine-1619580169-17225-1_0_r991468416_0 (exists = 0) [2021-05-15 08:53:54 main:452] : INFO : Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/ParityMachine-1619580169-17225-1 (exists = 1) [2021-05-15 08:53:54 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1) [2021-05-15 08:53:55 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 [2021-05-15 08:53:55 main:474] : INFO : Configuration: [2021-05-15 08:53:55 main:475] : INFO : Model type: GRU [2021-05-15 08:53:55 main:476] : INFO : Validation Loss Threshold: 0.0001 [2021-05-15 08:53:55 main:477] : INFO : Max Epochs: 2048 [2021-05-15 08:53:55 main:478] : INFO : Batch Size: 128 [2021-05-15 08:53:55 main:479] : INFO : Learning Rate: 0.01 [2021-05-15 08:53:55 main:480] : INFO : Patience: 10 [2021-05-15 08:53:55 main:481] : INFO : Hidden Width: 12 [2021-05-15 08:53:55 main:482] : INFO : # Recurrent Layers: 4 [2021-05-15 08:53:55 main:483] : INFO : # Backend Layers: 4 [2021-05-15 08:53:55 main:484] : INFO : # Threads: 1 [2021-05-15 08:53:55 main:486] : INFO : Preparing Dataset [2021-05-15 08:53:55 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 into memory [2021-05-15 08:53:56 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 into memory [2021-05-15 08:53:58 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2021-05-15 08:53:58 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 into memory [2021-05-15 08:53:59 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 into memory [2021-05-15 08:53:59 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2021-05-15 08:53:59 main:494] : INFO : Creating Model [2021-05-15 08:53:59 main:507] : INFO : Preparing config file [2021-05-15 08:53:59 main:511] : INFO : Found checkpoint, attempting to load... [2021-05-15 08:53:59 main:512] : INFO : Loading config [2021-05-15 08:53:59 main:514] : INFO : Loading state [2021-05-15 08:54:00 main:559] : INFO : Loading DataLoader into Memory [2021-05-15 08:54:00 main:562] : INFO : Starting Training [2021-05-15 08:54:11 main:574] : INFO : Epoch 1965 | loss: 0.0311843 | val_loss: 0.0312412 | Time: 11410.3 ms [2021-05-15 08:54:22 main:574] : INFO : Epoch 1966 | loss: 0.0310924 | val_loss: 0.0312001 | Time: 10440.6 ms [2021-05-15 08:54:32 main:574] : INFO : Epoch 1967 | loss: 0.0310725 | val_loss: 0.0312006 | Time: 10290.3 ms [2021-05-15 08:54:43 main:574] : INFO : Epoch 1968 | loss: 0.0310706 | val_loss: 0.0312127 | Time: 10578 ms Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: GeForce GTX 1080) [2021-05-15 09:12:47 main:435] : INFO : Set logging level to 1 [2021-05-15 09:12:47 main:441] : INFO : Running in BOINC Client mode [2021-05-15 09:12:47 main:444] : INFO : Resolving all filenames [2021-05-15 09:12:47 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 (exists = 1) [2021-05-15 09:12:47 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/ParityMachine-1619580169-17225-1_0_r991468416_1 (exists = 1) [2021-05-15 09:12:47 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/ParityMachine-1619580169-17225-1_0_r991468416_0 (exists = 0) [2021-05-15 09:12:47 main:452] : INFO : Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/ParityMachine-1619580169-17225-1 (exists = 1) [2021-05-15 09:12:47 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1) [2021-05-15 09:12:47 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 [2021-05-15 09:12:47 main:474] : INFO : Configuration: [2021-05-15 09:12:47 main:475] : INFO : Model type: GRU [2021-05-15 09:12:47 main:476] : INFO : Validation Loss Threshold: 0.0001 [2021-05-15 09:12:47 main:477] : INFO : Max Epochs: 2048 [2021-05-15 09:12:47 main:478] : INFO : Batch Size: 128 [2021-05-15 09:12:47 main:479] : INFO : Learning Rate: 0.01 [2021-05-15 09:12:47 main:480] : INFO : Patience: 10 [2021-05-15 09:12:47 main:481] : INFO : Hidden Width: 12 [2021-05-15 09:12:47 main:482] : INFO : # Recurrent Layers: 4 [2021-05-15 09:12:47 main:483] : INFO : # Backend Layers: 4 [2021-05-15 09:12:47 main:484] : INFO : # Threads: 1 [2021-05-15 09:12:47 main:486] : INFO : Preparing Dataset [2021-05-15 09:12:47 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 into memory [2021-05-15 09:12:47 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 into memory [2021-05-15 09:12:50 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2021-05-15 09:12:50 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 into memory [2021-05-15 09:12:50 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 into memory [2021-05-15 09:12:50 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2021-05-15 09:12:50 main:494] : INFO : Creating Model [2021-05-15 09:12:50 main:507] : INFO : Preparing config file [2021-05-15 09:12:50 main:511] : INFO : Found checkpoint, attempting to load... [2021-05-15 09:12:50 main:512] : INFO : Loading config [2021-05-15 09:12:50 main:514] : INFO : Loading state [2021-05-15 09:12:52 main:559] : INFO : Loading DataLoader into Memory [2021-05-15 09:12:52 main:562] : INFO : Starting Training [2021-05-15 09:13:03 main:574] : INFO : Epoch 1965 | loss: 0.031192 | val_loss: 0.0312286 | Time: 11166.1 ms [2021-05-15 09:13:13 main:574] : INFO : Epoch 1966 | loss: 0.0310959 | val_loss: 0.0312056 | Time: 10431.3 ms Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: GeForce GTX 1080) [2021-05-15 09:18:58 main:435] : INFO : Set logging level to 1 [2021-05-15 09:18:58 main:441] : INFO : Running in BOINC Client mode [2021-05-15 09:18:58 main:444] : INFO : Resolving all filenames [2021-05-15 09:18:58 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 (exists = 1) [2021-05-15 09:18:58 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/ParityMachine-1619580169-17225-1_0_r991468416_1 (exists = 1) [2021-05-15 09:18:58 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/ParityMachine-1619580169-17225-1_0_r991468416_0 (exists = 0) [2021-05-15 09:18:58 main:452] : INFO : Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/ParityMachine-1619580169-17225-1 (exists = 1) [2021-05-15 09:18:58 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1) [2021-05-15 09:18:58 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 [2021-05-15 09:18:58 main:474] : INFO : Configuration: [2021-05-15 09:18:58 main:475] : INFO : Model type: GRU [2021-05-15 09:18:58 main:476] : INFO : Validation Loss Threshold: 0.0001 [2021-05-15 09:18:58 main:477] : INFO : Max Epochs: 2048 [2021-05-15 09:18:58 main:478] : INFO : Batch Size: 128 [2021-05-15 09:18:58 main:479] : INFO : Learning Rate: 0.01 [2021-05-15 09:18:58 main:480] : INFO : Patience: 10 [2021-05-15 09:18:58 main:481] : INFO : Hidden Width: 12 [2021-05-15 09:18:58 main:482] : INFO : # Recurrent Layers: 4 [2021-05-15 09:18:58 main:483] : INFO : # Backend Layers: 4 [2021-05-15 09:18:58 main:484] : INFO : # Threads: 1 [2021-05-15 09:18:58 main:486] : INFO : Preparing Dataset [2021-05-15 09:18:58 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 into memory [2021-05-15 09:18:59 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 into memory [2021-05-15 09:19:01 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2021-05-15 09:19:01 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 into memory [2021-05-15 09:19:01 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 into memory [2021-05-15 09:19:02 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2021-05-15 09:19:02 main:494] : INFO : Creating Model [2021-05-15 09:19:02 main:507] : INFO : Preparing config file [2021-05-15 09:19:02 main:511] : INFO : Found checkpoint, attempting to load... [2021-05-15 09:19:02 main:512] : INFO : Loading config [2021-05-15 09:19:02 main:514] : INFO : Loading state [2021-05-15 09:19:03 main:559] : INFO : Loading DataLoader into Memory [2021-05-15 09:19:03 main:562] : INFO : Starting Training [2021-05-15 09:19:13 main:574] : INFO : Epoch 1965 | loss: 0.0311705 | val_loss: 0.0312348 | Time: 10601.3 ms [2021-05-15 09:19:24 main:574] : INFO : Epoch 1966 | loss: 0.0310892 | val_loss: 0.0312085 | Time: 10277.3 ms [2021-05-15 09:19:34 main:574] : INFO : Epoch 1967 | loss: 0.0310725 | val_loss: 0.0312122 | Time: 10442.4 ms [2021-05-15 09:19:44 main:574] : INFO : Epoch 1968 | loss: 0.031069 | val_loss: 0.0312075 | Time: 10428.8 ms [2021-05-15 09:19:55 main:574] : INFO : Epoch 1969 | loss: 0.0310733 | val_loss: 0.0312041 | Time: 10352.8 ms [2021-05-15 09:20:05 main:574] : INFO : Epoch 1970 | loss: 0.0310714 | val_loss: 0.0312126 | Time: 9999.25 ms [2021-05-15 09:20:15 main:574] : INFO : Epoch 1971 | loss: 0.0310773 | val_loss: 0.0312104 | Time: 10230.1 ms [2021-05-15 09:20:25 main:574] : INFO : Epoch 1972 | loss: 0.0310733 | val_loss: 0.0312059 | Time: 10134.7 ms [2021-05-15 09:20:35 main:574] : INFO : Epoch 1973 | loss: 0.0310766 | val_loss: 0.0311937 | Time: 10332.9 ms [2021-05-15 09:20:46 main:574] : INFO : Epoch 1974 | loss: 0.0310798 | val_loss: 0.0312052 | Time: 10319.9 ms [2021-05-15 09:20:56 main:574] : INFO : Epoch 1975 | loss: 0.0310788 | val_loss: 0.0311992 | Time: 10198.2 ms [2021-05-15 09:21:06 main:574] : INFO : Epoch 1976 | loss: 0.0310712 | val_loss: 0.0312092 | Time: 10059.4 ms [2021-05-15 09:21:16 main:574] : INFO : Epoch 1977 | loss: 0.0310657 | val_loss: 0.0312018 | Time: 10074.6 ms [2021-05-15 09:21:26 main:574] : INFO : Epoch 1978 | loss: 0.0310622 | val_loss: 0.0312106 | Time: 10070.5 ms [2021-05-15 09:21:37 main:574] : INFO : Epoch 1979 | loss: 0.0310627 | val_loss: 0.0312006 | Time: 10266.7 ms [2021-05-15 09:21:47 main:574] : INFO : Epoch 1980 | loss: 0.03107 | val_loss: 0.0312097 | Time: 10332.9 ms [2021-05-15 09:21:57 main:574] : INFO : Epoch 1981 | loss: 0.0310704 | val_loss: 0.0312025 | Time: 10148.5 ms [2021-05-15 09:22:07 main:574] : INFO : Epoch 1982 | loss: 0.0310616 | val_loss: 0.0312155 | Time: 10112.6 ms [2021-05-15 09:22:17 main:574] : INFO : Epoch 1983 | loss: 0.0310596 | val_loss: 0.0312076 | Time: 10186.6 ms Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: GeForce GTX 1080) [2021-05-15 09:28:14 main:435] : INFO : Set logging level to 1 [2021-05-15 09:28:14 main:441] : INFO : Running in BOINC Client mode [2021-05-15 09:28:14 main:444] : INFO : Resolving all filenames [2021-05-15 09:28:14 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 (exists = 1) [2021-05-15 09:28:14 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/ParityMachine-1619580169-17225-1_0_r991468416_1 (exists = 1) [2021-05-15 09:28:14 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/ParityMachine-1619580169-17225-1_0_r991468416_0 (exists = 0) [2021-05-15 09:28:14 main:452] : INFO : Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/ParityMachine-1619580169-17225-1 (exists = 1) [2021-05-15 09:28:14 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1) [2021-05-15 09:28:14 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 [2021-05-15 09:28:14 main:474] : INFO : Configuration: [2021-05-15 09:28:14 main:475] : INFO : Model type: GRU [2021-05-15 09:28:14 main:476] : INFO : Validation Loss Threshold: 0.0001 [2021-05-15 09:28:14 main:477] : INFO : Max Epochs: 2048 [2021-05-15 09:28:14 main:478] : INFO : Batch Size: 128 [2021-05-15 09:28:14 main:479] : INFO : Learning Rate: 0.01 [2021-05-15 09:28:14 main:480] : INFO : Patience: 10 [2021-05-15 09:28:14 main:481] : INFO : Hidden Width: 12 [2021-05-15 09:28:14 main:482] : INFO : # Recurrent Layers: 4 [2021-05-15 09:28:14 main:483] : INFO : # Backend Layers: 4 [2021-05-15 09:28:14 main:484] : INFO : # Threads: 1 [2021-05-15 09:28:14 main:486] : INFO : Preparing Dataset [2021-05-15 09:28:14 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 into memory [2021-05-15 09:28:14 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 into memory [2021-05-15 09:28:17 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2021-05-15 09:28:17 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 into memory [2021-05-15 09:28:17 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 into memory [2021-05-15 09:28:17 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2021-05-15 09:28:17 main:494] : INFO : Creating Model [2021-05-15 09:28:17 main:507] : INFO : Preparing config file [2021-05-15 09:28:17 main:511] : INFO : Found checkpoint, attempting to load... [2021-05-15 09:28:17 main:512] : INFO : Loading config [2021-05-15 09:28:17 main:514] : INFO : Loading state [2021-05-15 09:28:18 main:559] : INFO : Loading DataLoader into Memory [2021-05-15 09:28:18 main:562] : INFO : Starting Training [2021-05-15 09:28:29 main:574] : INFO : Epoch 1983 | loss: 0.0312137 | val_loss: 0.0311988 | Time: 10874.3 ms [2021-05-15 09:28:40 main:574] : INFO : Epoch 1984 | loss: 0.0311079 | val_loss: 0.0311868 | Time: 11285 ms [2021-05-15 09:28:51 main:574] : INFO : Epoch 1985 | loss: 0.0310858 | val_loss: 0.0311978 | Time: 10956.6 ms [2021-05-15 09:29:03 main:574] : INFO : Epoch 1986 | loss: 0.0310715 | val_loss: 0.0312056 | Time: 11722.2 ms [2021-05-15 09:29:15 main:574] : INFO : Epoch 1987 | loss: 0.0310696 | val_loss: 0.0312012 | Time: 11669.4 ms [2021-05-15 09:29:26 main:574] : INFO : Epoch 1988 | loss: 0.0310747 | val_loss: 0.0312092 | Time: 11294.9 ms [2021-05-15 09:29:37 main:574] : INFO : Epoch 1989 | loss: 0.031067 | val_loss: 0.0312007 | Time: 10959.7 ms [2021-05-15 09:29:48 main:574] : INFO : Epoch 1990 | loss: 0.0310666 | val_loss: 0.0311988 | Time: 11233 ms [2021-05-15 09:30:00 main:574] : INFO : Epoch 1991 | loss: 0.0310735 | val_loss: 0.0312106 | Time: 11502.3 ms [2021-05-15 09:30:11 main:574] : INFO : Epoch 1992 | loss: 0.0310663 | val_loss: 0.0312074 | Time: 11458.3 ms [2021-05-15 09:30:22 main:574] : INFO : Epoch 1993 | loss: 0.0310645 | val_loss: 0.0312199 | Time: 10779.3 ms [2021-05-15 09:30:33 main:574] : INFO : Epoch 1994 | loss: 0.0310674 | val_loss: 0.0311955 | Time: 11314.6 ms [2021-05-15 09:30:45 main:574] : INFO : Epoch 1995 | loss: 0.0310791 | val_loss: 0.031202 | Time: 11335.7 ms [2021-05-15 09:30:56 main:574] : INFO : Epoch 1996 | loss: 0.0310726 | val_loss: 0.0312075 | Time: 10954.5 ms [2021-05-15 09:31:07 main:574] : INFO : Epoch 1997 | loss: 0.0310819 | val_loss: 0.0311939 | Time: 11472.3 ms [2021-05-15 09:31:18 main:574] : INFO : Epoch 1998 | loss: 0.031075 | val_loss: 0.0311943 | Time: 11236.4 ms [2021-05-15 09:31:29 main:574] : INFO : Epoch 1999 | loss: 0.0310789 | val_loss: 0.031191 | Time: 10519.8 ms [2021-05-15 09:31:39 main:574] : INFO : Epoch 2000 | loss: 0.0310863 | val_loss: 0.0312095 | Time: 10423.7 ms [2021-05-15 09:31:50 main:574] : INFO : Epoch 2001 | loss: 0.031076 | val_loss: 0.0312003 | Time: 10376.4 ms [2021-05-15 09:32:00 main:574] : INFO : Epoch 2002 | loss: 0.0311008 | val_loss: 0.0311997 | Time: 10566.8 ms [2021-05-15 09:32:11 main:574] : INFO : Epoch 2003 | loss: 0.0310979 | val_loss: 0.0311957 | Time: 10770.9 ms [2021-05-15 09:32:22 main:574] : INFO : Epoch 2004 | loss: 0.0310873 | val_loss: 0.0311882 | Time: 10622.8 ms [2021-05-15 09:32:32 main:574] : INFO : Epoch 2005 | loss: 0.0310755 | val_loss: 0.0312124 | Time: 10563.2 ms Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: GeForce GTX 1080) [2021-05-15 09:37:36 main:435] : INFO : Set logging level to 1 [2021-05-15 09:37:36 main:441] : INFO : Running in BOINC Client mode [2021-05-15 09:37:36 main:444] : INFO : Resolving all filenames [2021-05-15 09:37:36 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 (exists = 1) [2021-05-15 09:37:36 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/ParityMachine-1619580169-17225-1_0_r991468416_1 (exists = 1) [2021-05-15 09:37:36 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/ParityMachine-1619580169-17225-1_0_r991468416_0 (exists = 0) [2021-05-15 09:37:36 main:452] : INFO : Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/ParityMachine-1619580169-17225-1 (exists = 1) [2021-05-15 09:37:36 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1) [2021-05-15 09:37:36 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 [2021-05-15 09:37:36 main:474] : INFO : Configuration: [2021-05-15 09:37:36 main:475] : INFO : Model type: GRU [2021-05-15 09:37:36 main:476] : INFO : Validation Loss Threshold: 0.0001 [2021-05-15 09:37:36 main:477] : INFO : Max Epochs: 2048 [2021-05-15 09:37:36 main:478] : INFO : Batch Size: 128 [2021-05-15 09:37:36 main:479] : INFO : Learning Rate: 0.01 [2021-05-15 09:37:36 main:480] : INFO : Patience: 10 [2021-05-15 09:37:36 main:481] : INFO : Hidden Width: 12 [2021-05-15 09:37:36 main:482] : INFO : # Recurrent Layers: 4 [2021-05-15 09:37:36 main:483] : INFO : # Backend Layers: 4 [2021-05-15 09:37:36 main:484] : INFO : # Threads: 1 [2021-05-15 09:37:36 main:486] : INFO : Preparing Dataset [2021-05-15 09:37:36 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 into memory [2021-05-15 09:37:37 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 into memory [2021-05-15 09:37:39 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2021-05-15 09:37:39 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 into memory [2021-05-15 09:37:39 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 into memory [2021-05-15 09:37:39 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2021-05-15 09:37:39 main:494] : INFO : Creating Model [2021-05-15 09:37:39 main:507] : INFO : Preparing config file [2021-05-15 09:37:39 main:511] : INFO : Found checkpoint, attempting to load... [2021-05-15 09:37:39 main:512] : INFO : Loading config [2021-05-15 09:37:39 main:514] : INFO : Loading state [2021-05-15 09:37:41 main:559] : INFO : Loading DataLoader into Memory [2021-05-15 09:37:41 main:562] : INFO : Starting Training [2021-05-15 09:37:52 main:574] : INFO : Epoch 2006 | loss: 0.0311897 | val_loss: 0.0312054 | Time: 11133.4 ms [2021-05-15 09:38:03 main:574] : INFO : Epoch 2007 | loss: 0.0310928 | val_loss: 0.0311953 | Time: 10836.7 ms [2021-05-15 09:38:14 main:574] : INFO : Epoch 2008 | loss: 0.0310814 | val_loss: 0.0311951 | Time: 10971.3 ms [2021-05-15 09:38:25 main:574] : INFO : Epoch 2009 | loss: 0.0310834 | val_loss: 0.0312034 | Time: 10989.1 ms [2021-05-15 09:38:36 main:574] : INFO : Epoch 2010 | loss: 0.0310779 | val_loss: 0.0312053 | Time: 11169.3 ms [2021-05-15 09:38:46 main:574] : INFO : Epoch 2011 | loss: 0.0310691 | val_loss: 0.0311987 | Time: 10683.5 ms [2021-05-15 09:38:58 main:574] : INFO : Epoch 2012 | loss: 0.031073 | val_loss: 0.0311993 | Time: 11076 ms [2021-05-15 09:39:09 main:574] : INFO : Epoch 2013 | loss: 0.0310745 | val_loss: 0.0311991 | Time: 10943.3 ms [2021-05-15 09:39:19 main:574] : INFO : Epoch 2014 | loss: 0.0310777 | val_loss: 0.0312039 | Time: 10980.8 ms [2021-05-15 09:39:30 main:574] : INFO : Epoch 2015 | loss: 0.0310743 | val_loss: 0.0311976 | Time: 10855.1 ms [2021-05-15 09:39:42 main:574] : INFO : Epoch 2016 | loss: 0.0310703 | val_loss: 0.0312112 | Time: 11276.3 ms [2021-05-15 09:39:52 main:574] : INFO : Epoch 2017 | loss: 0.0310643 | val_loss: 0.0312162 | Time: 10758.3 ms [2021-05-15 09:40:03 main:574] : INFO : Epoch 2018 | loss: 0.0310956 | val_loss: 0.0311946 | Time: 10796.6 ms [2021-05-15 09:40:14 main:574] : INFO : Epoch 2019 | loss: 0.0311026 | val_loss: 0.0311918 | Time: 10816.3 ms [2021-05-15 09:40:25 main:574] : INFO : Epoch 2020 | loss: 0.031095 | val_loss: 0.0312028 | Time: 10844.4 ms [2021-05-15 09:40:36 main:574] : INFO : Epoch 2021 | loss: 0.0310886 | val_loss: 0.0311952 | Time: 11063.9 ms [2021-05-15 09:40:47 main:574] : INFO : Epoch 2022 | loss: 0.0310819 | val_loss: 0.0311943 | Time: 10879.8 ms [2021-05-15 09:40:58 main:574] : INFO : Epoch 2023 | loss: 0.0310745 | val_loss: 0.0311983 | Time: 10676.8 ms [2021-05-15 09:41:08 main:574] : INFO : Epoch 2024 | loss: 0.0310729 | val_loss: 0.0312075 | Time: 10444.4 ms [2021-05-15 09:41:18 main:574] : INFO : Epoch 2025 | loss: 0.0310702 | val_loss: 0.0312197 | Time: 10481.5 ms [2021-05-15 09:41:29 main:574] : INFO : Epoch 2026 | loss: 0.0310713 | val_loss: 0.0312306 | Time: 10544.1 ms [2021-05-15 09:41:39 main:574] : INFO : Epoch 2027 | loss: 0.0310654 | val_loss: 0.0312028 | Time: 10459.4 ms [2021-05-15 09:41:50 main:574] : INFO : Epoch 2028 | loss: 0.0310626 | val_loss: 0.0312073 | Time: 10452.9 ms [2021-05-15 09:42:00 main:574] : INFO : Epoch 2029 | loss: 0.0310613 | val_loss: 0.0312068 | Time: 10204.3 ms [2021-05-15 09:42:10 main:574] : INFO : Epoch 2030 | loss: 0.0310619 | val_loss: 0.0312141 | Time: 10115.3 ms [2021-05-15 09:42:20 main:574] : INFO : Epoch 2031 | loss: 0.0310591 | val_loss: 0.031203 | Time: 10158.3 ms [2021-05-15 09:42:31 main:574] : INFO : Epoch 2032 | loss: 0.0310669 | val_loss: 0.0312143 | Time: 10238.7 ms [2021-05-15 09:42:41 main:574] : INFO : Epoch 2033 | loss: 0.0310676 | val_loss: 0.0312088 | Time: 10455.2 ms [2021-05-15 09:42:52 main:574] : INFO : Epoch 2034 | loss: 0.0310646 | val_loss: 0.0312145 | Time: 10541.5 ms [2021-05-15 09:43:02 main:574] : INFO : Epoch 2035 | loss: 0.0310669 | val_loss: 0.03122 | Time: 10525 ms [2021-05-15 09:43:13 main:574] : INFO : Epoch 2036 | loss: 0.0310717 | val_loss: 0.0312009 | Time: 10435.3 ms [2021-05-15 09:43:23 main:574] : INFO : Epoch 2037 | loss: 0.0310766 | val_loss: 0.0312135 | Time: 10745.3 ms [2021-05-15 09:43:34 main:574] : INFO : Epoch 2038 | loss: 0.0310665 | val_loss: 0.0312126 | Time: 10734.6 ms [2021-05-15 09:43:45 main:574] : INFO : Epoch 2039 | loss: 0.0310621 | val_loss: 0.0312264 | Time: 11005.7 ms [2021-05-15 09:43:56 main:574] : INFO : Epoch 2040 | loss: 0.0310592 | val_loss: 0.0312251 | Time: 10513.9 ms [2021-05-15 09:44:06 main:574] : INFO : Epoch 2041 | loss: 0.031067 | val_loss: 0.0311931 | Time: 10479.7 ms [2021-05-15 09:44:16 main:574] : INFO : Epoch 2042 | loss: 0.0310858 | val_loss: 0.031217 | Time: 10240.4 ms [2021-05-15 09:44:27 main:574] : INFO : Epoch 2043 | loss: 0.0310816 | val_loss: 0.0312167 | Time: 10148.2 ms [2021-05-15 09:44:37 main:574] : INFO : Epoch 2044 | loss: 0.0310768 | val_loss: 0.0312159 | Time: 10109.1 ms [2021-05-15 09:44:47 main:574] : INFO : Epoch 2045 | loss: 0.0310749 | val_loss: 0.0312073 | Time: 10437.1 ms [2021-05-15 09:44:57 main:574] : INFO : Epoch 2046 | loss: 0.0310678 | val_loss: 0.0312196 | Time: 10356.7 ms [2021-05-15 09:45:08 main:574] : INFO : Epoch 2047 | loss: 0.031067 | val_loss: 0.0312213 | Time: 10376.4 ms [2021-05-15 09:45:18 main:574] : INFO : Epoch 2048 | loss: 0.0310684 | val_loss: 0.031218 | Time: 10106.6 ms [2021-05-15 09:45:18 main:597] : INFO : Saving trained model to model-final.pt, val_loss 0.031218 [2021-05-15 09:45:18 main:603] : INFO : Saving end state to config to file [2021-05-15 09:45:18 main:608] : INFO : Success, exiting.. 09:45:18 (25928): 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)