Task 14142710
| Name | ParityModified-1647045254-28706-0_3 |
| Workunit | 10096064 |
| Created | 31 Mar 2022, 13:41:41 UTC |
| Sent | 31 Mar 2022, 13:46:18 UTC |
| Report deadline | 8 Apr 2022, 13:46:18 UTC |
| Received | 2 Apr 2022, 11:52:47 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 21006 |
| Run time | 3 hours 2 min 24 sec |
| CPU time | 3 hours 2 min 24 sec |
| Validate state | Valid |
| Credit | 4,160.00 |
| Device peak FLOPS | 2,255.84 GFLOPS |
| Application version | Machine Learning Dataset Generator (GPU) v9.75 (cuda10200) windows_x86_64 |
| Peak working set size | 1.63 GB |
| Peak swap size | 3.59 GB |
| Peak disk usage | 1.54 GB |
Stderr output
<core_client_version>7.16.20</core_client_version> <![CDATA[ <stderr_txt> [2022-03-31 20:52:13 main:574] : INFO : Epoch 1766 | loss: 0.0310037 | val_loss: 0.0312775 | Time: 3666.74 ms [2022-03-31 20:52:17 main:574] : INFO : Epoch 1767 | loss: 0.0310018 | val_loss: 0.0312662 | Time: 3611.45 ms [2022-03-31 20:52:20 main:574] : INFO : Epoch 1768 | loss: 0.0310052 | val_loss: 0.031297 | Time: 3645.12 ms [2022-03-31 20:52:24 main:574] : INFO : Epoch 1769 | loss: 0.0309954 | val_loss: 0.031281 | Time: 3604.31 ms [2022-03-31 20:52:28 main:574] : INFO : Epoch 1770 | loss: 0.0310016 | val_loss: 0.0312618 | Time: 3635.12 ms [2022-03-31 20:52:31 main:574] : INFO : Epoch 1771 | loss: 0.0309944 | val_loss: 0.0312649 | Time: 3586.04 ms [2022-03-31 20:52:35 main:574] : INFO : Epoch 1772 | loss: 0.0309984 | val_loss: 0.0312787 | Time: 3541.8 ms [2022-03-31 20:52:39 main:574] : INFO : Epoch 1773 | loss: 0.0309974 | val_loss: 0.031282 | Time: 3643.68 ms [2022-03-31 20:52:42 main:574] : INFO : Epoch 1774 | loss: 0.030993 | val_loss: 0.0313019 | Time: 3617.03 ms [2022-03-31 20:52:46 main:574] : INFO : Epoch 1775 | loss: 0.031002 | val_loss: 0.0312744 | Time: 3599.27 ms [2022-03-31 20:52:49 main:574] : INFO : Epoch 1776 | loss: 0.0309973 | val_loss: 0.0313024 | Time: 3607.66 ms [2022-03-31 20:52:53 main:574] : INFO : Epoch 1777 | loss: 0.0309967 | val_loss: 0.0312881 | Time: 3582.55 ms [2022-03-31 20:52:57 main:574] : INFO : Epoch 1778 | loss: 0.030996 | val_loss: 0.0313019 | Time: 3575.42 ms [2022-03-31 20:53:00 main:574] : INFO : Epoch 1779 | loss: 0.0309944 | val_loss: 0.0312775 | Time: 3566.44 ms [2022-03-31 20:53:04 main:574] : INFO : Epoch 1780 | loss: 0.0309985 | val_loss: 0.0312904 | Time: 3632.74 ms [2022-03-31 20:53:07 main:574] : INFO : Epoch 1781 | loss: 0.0310046 | val_loss: 0.031279 | Time: 3589.02 ms [2022-03-31 20:53:11 main:574] : INFO : Epoch 1782 | loss: 0.0310042 | val_loss: 0.0312543 | Time: 3607.99 ms [2022-03-31 20:53:15 main:574] : INFO : Epoch 1783 | loss: 0.0310021 | val_loss: 0.0312915 | Time: 3570.87 ms [2022-03-31 20:53:18 main:574] : INFO : Epoch 1784 | loss: 0.0310009 | val_loss: 0.0312689 | Time: 3537.31 ms [2022-03-31 20:53:22 main:574] : INFO : Epoch 1785 | loss: 0.0310134 | val_loss: 0.0312802 | Time: 3603.14 ms [2022-03-31 20:53:25 main:574] : INFO : Epoch 1786 | loss: 0.0310071 | val_loss: 0.031279 | Time: 3536.42 ms [2022-03-31 20:53:29 main:574] : INFO : Epoch 1787 | loss: 0.0309995 | val_loss: 0.0312966 | Time: 3605.91 ms [2022-03-31 20:53:32 main:574] : INFO : Epoch 1788 | loss: 0.0310063 | val_loss: 0.03128 | Time: 3581.72 ms [2022-03-31 20:53:36 main:574] : INFO : Epoch 1789 | loss: 0.0310124 | val_loss: 0.0312988 | Time: 3559.69 ms [2022-03-31 20:53:40 main:574] : INFO : Epoch 1790 | loss: 0.0309963 | val_loss: 0.0313079 | Time: 3723.92 ms [2022-03-31 20:53:43 main:574] : INFO : Epoch 1791 | loss: 0.0309934 | val_loss: 0.0312745 | Time: 3585.94 ms [2022-03-31 20:53:47 main:574] : INFO : Epoch 1792 | loss: 0.0309916 | val_loss: 0.0312819 | Time: 3555.73 ms [2022-03-31 20:53:50 main:574] : INFO : Epoch 1793 | loss: 0.0309891 | val_loss: 0.0312819 | Time: 3565.89 ms [2022-03-31 20:53:54 main:574] : INFO : Epoch 1794 | loss: 0.0309994 | val_loss: 0.031259 | Time: 3532.32 ms [2022-03-31 20:53:58 main:574] : INFO : Epoch 1795 | loss: 0.0310076 | val_loss: 0.0312838 | Time: 3568.65 ms [2022-03-31 20:54:01 main:574] : INFO : Epoch 1796 | loss: 0.031 | val_loss: 0.0312773 | Time: 3542.17 ms [2022-03-31 20:54:05 main:574] : INFO : Epoch 1797 | loss: 0.0310022 | val_loss: 0.0313233 | Time: 3631.1 ms [2022-03-31 20:54:08 main:574] : INFO : Epoch 1798 | loss: 0.0310016 | val_loss: 0.031271 | Time: 3564.42 ms [2022-03-31 20:54:12 main:574] : INFO : Epoch 1799 | loss: 0.031 | val_loss: 0.0312828 | Time: 3558.45 ms [2022-03-31 20:54:15 main:574] : INFO : Epoch 1800 | loss: 0.030996 | val_loss: 0.0312754 | Time: 3577.4 ms [2022-03-31 20:54:19 main:574] : INFO : Epoch 1801 | loss: 0.0310027 | val_loss: 0.0312798 | Time: 3602.45 ms [2022-03-31 20:54:23 main:574] : INFO : Epoch 1802 | loss: 0.0310095 | val_loss: 0.0312784 | Time: 3598.52 ms [2022-03-31 20:54:26 main:574] : INFO : Epoch 1803 | loss: 0.0310106 | val_loss: 0.0312639 | Time: 3530 ms [2022-03-31 20:54:30 main:574] : INFO : Epoch 1804 | loss: 0.0310183 | val_loss: 0.0312634 | Time: 3649.47 ms [2022-03-31 20:54:33 main:574] : INFO : Epoch 1805 | loss: 0.0310148 | val_loss: 0.0312678 | Time: 3570.54 ms [2022-03-31 20:54:37 main:574] : INFO : Epoch 1806 | loss: 0.0310035 | val_loss: 0.0312983 | Time: 3583.16 ms [2022-03-31 20:54:41 main:574] : INFO : Epoch 1807 | loss: 0.0310013 | val_loss: 0.0312838 | Time: 3567.33 ms [2022-03-31 20:54:44 main:574] : INFO : Epoch 1808 | loss: 0.0309946 | val_loss: 0.0312958 | Time: 3554.63 ms [2022-03-31 20:54:48 main:574] : INFO : Epoch 1809 | loss: 0.0309926 | val_loss: 0.0312651 | Time: 3546.35 ms [2022-03-31 20:54:51 main:574] : INFO : Epoch 1810 | loss: 0.0309996 | val_loss: 0.0312598 | Time: 3601.05 ms [2022-03-31 20:54:55 main:574] : INFO : Epoch 1811 | loss: 0.0310032 | val_loss: 0.031287 | Time: 3538.13 ms [2022-03-31 20:54:59 main:574] : INFO : Epoch 1812 | loss: 0.030995 | val_loss: 0.0312844 | Time: 3649.49 ms [2022-03-31 20:55:02 main:574] : INFO : Epoch 1813 | loss: 0.031003 | val_loss: 0.0312649 | Time: 3561.91 ms [2022-03-31 20:55:06 main:574] : INFO : Epoch 1814 | loss: 0.0310052 | val_loss: 0.0312827 | Time: 3571.18 ms [2022-03-31 20:55:09 main:574] : INFO : Epoch 1815 | loss: 0.0309998 | val_loss: 0.0312781 | Time: 3552.81 ms [2022-03-31 20:55:13 main:574] : INFO : Epoch 1816 | loss: 0.0310007 | val_loss: 0.031261 | Time: 3596.08 ms [2022-03-31 20:55:16 main:574] : INFO : Epoch 1817 | loss: 0.0309973 | val_loss: 0.0312853 | Time: 3600.37 ms [2022-03-31 20:55:20 main:574] : INFO : Epoch 1818 | loss: 0.0309961 | val_loss: 0.0312927 | Time: 3571.69 ms [2022-03-31 20:55:24 main:574] : INFO : Epoch 1819 | loss: 0.0309934 | val_loss: 0.0313043 | Time: 3543.32 ms [2022-03-31 20:55:27 main:574] : INFO : Epoch 1820 | loss: 0.0309889 | val_loss: 0.0313189 | Time: 3602.08 ms [2022-03-31 20:55:31 main:574] : INFO : Epoch 1821 | loss: 0.0309929 | val_loss: 0.0312835 | Time: 3631.44 ms [2022-03-31 20:55:34 main:574] : INFO : Epoch 1822 | loss: 0.0310003 | val_loss: 0.0312919 | Time: 3595.16 ms [2022-03-31 20:55:38 main:574] : INFO : Epoch 1823 | loss: 0.0309958 | val_loss: 0.0313004 | Time: 3585.39 ms [2022-03-31 20:55:42 main:574] : INFO : Epoch 1824 | loss: 0.0310047 | val_loss: 0.0312908 | Time: 3600.22 ms [2022-03-31 20:55:45 main:574] : INFO : Epoch 1825 | loss: 0.030998 | val_loss: 0.031274 | Time: 3597.19 ms [2022-03-31 20:55:49 main:574] : INFO : Epoch 1826 | loss: 0.0309881 | val_loss: 0.0313118 | Time: 3565.59 ms [2022-03-31 20:55:52 main:574] : INFO : Epoch 1827 | loss: 0.0309891 | val_loss: 0.0312747 | Time: 3586.96 ms [2022-03-31 20:55:56 main:574] : INFO : Epoch 1828 | loss: 0.0310042 | val_loss: 0.0312831 | Time: 3540.5 ms [2022-03-31 20:56:00 main:574] : INFO : Epoch 1829 | loss: 0.0309983 | val_loss: 0.0312916 | Time: 3643.11 ms [2022-03-31 20:56:03 main:574] : INFO : Epoch 1830 | loss: 0.0309958 | val_loss: 0.0313006 | Time: 3685.53 ms [2022-03-31 20:56:07 main:574] : INFO : Epoch 1831 | loss: 0.0310005 | val_loss: 0.0312841 | Time: 3650.22 ms [2022-03-31 20:56:11 main:574] : INFO : Epoch 1832 | loss: 0.0310032 | val_loss: 0.0312668 | Time: 3625.65 ms [2022-03-31 20:56:14 main:574] : INFO : Epoch 1833 | loss: 0.0310134 | val_loss: 0.0312734 | Time: 3666.23 ms [2022-03-31 20:56:18 main:574] : INFO : Epoch 1834 | loss: 0.0310178 | val_loss: 0.0312748 | Time: 3621.78 ms [2022-03-31 20:56:22 main:574] : INFO : Epoch 1835 | loss: 0.0310052 | val_loss: 0.0312952 | Time: 3658.58 ms [2022-03-31 20:56:25 main:574] : INFO : Epoch 1836 | loss: 0.0310008 | val_loss: 0.0312723 | Time: 3609.94 ms [2022-03-31 20:56:29 main:574] : INFO : Epoch 1837 | loss: 0.0309941 | val_loss: 0.0312998 | Time: 3589.86 ms [2022-03-31 20:56:32 main:574] : INFO : Epoch 1838 | loss: 0.0309978 | val_loss: 0.0313018 | Time: 3618.96 ms [2022-03-31 20:56:36 main:574] : INFO : Epoch 1839 | loss: 0.0309999 | val_loss: 0.0312635 | Time: 3636.52 ms [2022-03-31 20:56:40 main:574] : INFO : Epoch 1840 | loss: 0.031003 | val_loss: 0.0312725 | Time: 3667.42 ms [2022-03-31 20:56:43 main:574] : INFO : Epoch 1841 | loss: 0.0310012 | val_loss: 0.0312747 | Time: 3660.08 ms [2022-03-31 20:56:47 main:574] : INFO : Epoch 1842 | loss: 0.0309992 | val_loss: 0.0313022 | Time: 3648.88 ms [2022-03-31 20:56:51 main:574] : INFO : Epoch 1843 | loss: 0.0309952 | val_loss: 0.031295 | Time: 3643.94 ms [2022-03-31 20:56:54 main:574] : INFO : Epoch 1844 | loss: 0.0309953 | val_loss: 0.0312755 | Time: 3603.07 ms [2022-03-31 20:56:58 main:574] : INFO : Epoch 1845 | loss: 0.0309913 | val_loss: 0.0312642 | Time: 3619.86 ms [2022-03-31 20:57:01 main:574] : INFO : Epoch 1846 | loss: 0.0309928 | val_loss: 0.0313045 | Time: 3559.68 ms [2022-03-31 20:57:05 main:574] : INFO : Epoch 1847 | loss: 0.0310044 | val_loss: 0.0312677 | Time: 3603.64 ms [2022-03-31 20:57:09 main:574] : INFO : Epoch 1848 | loss: 0.030995 | val_loss: 0.0312864 | Time: 3679.26 ms [2022-03-31 20:57:12 main:574] : INFO : Epoch 1849 | loss: 0.030997 | val_loss: 0.0312391 | Time: 3533.89 ms [2022-03-31 20:57:16 main:574] : INFO : Epoch 1850 | loss: 0.0310008 | val_loss: 0.0312957 | Time: 3559.47 ms [2022-03-31 20:57:19 main:574] : INFO : Epoch 1851 | loss: 0.03099 | val_loss: 0.0312808 | Time: 3582.88 ms [2022-03-31 20:57:23 main:574] : INFO : Epoch 1852 | loss: 0.030987 | val_loss: 0.031286 | Time: 3602.95 ms [2022-03-31 20:57:27 main:574] : INFO : Epoch 1853 | loss: 0.0309862 | val_loss: 0.031281 | Time: 3610.64 ms [2022-03-31 20:57:30 main:574] : INFO : Epoch 1854 | loss: 0.0309891 | val_loss: 0.031305 | Time: 3587.76 ms [2022-03-31 20:57:34 main:574] : INFO : Epoch 1855 | loss: 0.0309979 | val_loss: 0.0312819 | Time: 3567.83 ms [2022-03-31 20:57:37 main:574] : INFO : Epoch 1856 | loss: 0.0309999 | val_loss: 0.0312679 | Time: 3558.74 ms [2022-03-31 20:57:41 main:574] : INFO : Epoch 1857 | loss: 0.0309957 | val_loss: 0.0312999 | Time: 3500.66 ms [2022-03-31 20:57:44 main:574] : INFO : Epoch 1858 | loss: 0.0309887 | val_loss: 0.031282 | Time: 3523.36 ms [2022-03-31 20:57:48 main:574] : INFO : Epoch 1859 | loss: 0.0309915 | val_loss: 0.0312999 | Time: 3586.58 ms [2022-03-31 20:57:52 main:574] : INFO : Epoch 1860 | loss: 0.0309898 | val_loss: 0.0313044 | Time: 3586.91 ms [2022-03-31 20:57:55 main:574] : INFO : Epoch 1861 | loss: 0.0310011 | val_loss: 0.0313143 | Time: 3556.68 ms [2022-03-31 20:57:59 main:574] : INFO : Epoch 1862 | loss: 0.0309987 | val_loss: 0.031276 | Time: 3640.62 ms [2022-03-31 20:58:02 main:574] : INFO : Epoch 1863 | loss: 0.0309974 | val_loss: 0.0312738 | Time: 3576.59 ms [2022-03-31 20:58:06 main:574] : INFO : Epoch 1864 | loss: 0.0309983 | val_loss: 0.031312 | Time: 3536.66 ms [2022-03-31 20:58:10 main:574] : INFO : Epoch 1865 | loss: 0.0309941 | val_loss: 0.0312795 | Time: 3577.62 ms [2022-03-31 20:58:13 main:574] : INFO : Epoch 1866 | loss: 0.0309993 | val_loss: 0.0312774 | Time: 3559.53 ms [2022-03-31 20:58:17 main:574] : INFO : Epoch 1867 | loss: 0.0309918 | val_loss: 0.0312926 | Time: 3575.93 ms [2022-03-31 20:58:20 main:574] : INFO : Epoch 1868 | loss: 0.030998 | val_loss: 0.0312664 | Time: 3582.3 ms [2022-03-31 20:58:24 main:574] : INFO : Epoch 1869 | loss: 0.0310036 | val_loss: 0.0312779 | Time: 3571.39 ms [2022-03-31 20:58:27 main:574] : INFO : Epoch 1870 | loss: 0.030998 | val_loss: 0.0312904 | Time: 3581.97 ms [2022-03-31 20:58:31 main:574] : INFO : Epoch 1871 | loss: 0.0309972 | val_loss: 0.0312794 | Time: 3573.92 ms [2022-03-31 20:58:35 main:574] : INFO : Epoch 1872 | loss: 0.0309937 | val_loss: 0.0312939 | Time: 3609.75 ms [2022-03-31 20:58:38 main:574] : INFO : Epoch 1873 | loss: 0.0309898 | val_loss: 0.031315 | Time: 3566.5 ms [2022-03-31 20:58:42 main:574] : INFO : Epoch 1874 | loss: 0.0309932 | val_loss: 0.0312695 | Time: 3536.26 ms [2022-03-31 20:58:45 main:574] : INFO : Epoch 1875 | loss: 0.0309947 | val_loss: 0.0313194 | Time: 3630.69 ms [2022-03-31 20:58:49 main:574] : INFO : Epoch 1876 | loss: 0.0309906 | val_loss: 0.0312958 | Time: 3534.87 ms [2022-03-31 20:58:52 main:574] : INFO : Epoch 1877 | loss: 0.0309924 | val_loss: 0.0312886 | Time: 3571.17 ms [2022-03-31 20:58:56 main:574] : INFO : Epoch 1878 | loss: 0.0309863 | val_loss: 0.0313067 | Time: 3588.68 ms [2022-03-31 20:59:00 main:574] : INFO : Epoch 1879 | loss: 0.0309863 | val_loss: 0.031291 | Time: 3559.71 ms [2022-03-31 20:59:03 main:574] : INFO : Epoch 1880 | loss: 0.0309975 | val_loss: 0.0312933 | Time: 3620.98 ms [2022-03-31 20:59:07 main:574] : INFO : Epoch 1881 | loss: 0.0309985 | val_loss: 0.0312888 | Time: 3574.15 ms [2022-03-31 20:59:10 main:574] : INFO : Epoch 1882 | loss: 0.0310014 | val_loss: 0.0312845 | Time: 3592.76 ms [2022-03-31 20:59:14 main:574] : INFO : Epoch 1883 | loss: 0.0310213 | val_loss: 0.0312721 | Time: 3477.31 ms [2022-03-31 20:59:17 main:574] : INFO : Epoch 1884 | loss: 0.0309948 | val_loss: 0.0312761 | Time: 3513.7 ms [2022-03-31 20:59:21 main:574] : INFO : Epoch 1885 | loss: 0.0310097 | val_loss: 0.0312445 | Time: 3625.85 ms Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: NVIDIA GeForce GTX 1050 Ti) [2022-03-31 21:09:34 main:435] : INFO : Set logging level to 1 [2022-03-31 21:09:34 main:441] : INFO : Running in BOINC Client mode [2022-03-31 21:09:34 main:444] : INFO : Resolving all filenames [2022-03-31 21:09:34 main:452] : INFO : Resolved: dataset.hdf5 => dataset.hdf5 (exists = 1) [2022-03-31 21:09:34 main:452] : INFO : Resolved: model.cfg => model.cfg (exists = 1) [2022-03-31 21:09:34 main:452] : INFO : Resolved: model-final.pt => model-final.pt (exists = 0) [2022-03-31 21:09:34 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 0) [2022-03-31 21:09:34 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1) [2022-03-31 21:09:34 main:472] : INFO : Dataset filename: dataset.hdf5 [2022-03-31 21:09:34 main:474] : INFO : Configuration: [2022-03-31 21:09:34 main:475] : INFO : Model type: GRU [2022-03-31 21:09:34 main:476] : INFO : Validation Loss Threshold: 0.0001 [2022-03-31 21:09:34 main:477] : INFO : Max Epochs: 2048 [2022-03-31 21:09:34 main:478] : INFO : Batch Size: 128 [2022-03-31 21:09:34 main:479] : INFO : Learning Rate: 0.01 [2022-03-31 21:09:34 main:480] : INFO : Patience: 10 [2022-03-31 21:09:34 main:481] : INFO : Hidden Width: 12 [2022-03-31 21:09:34 main:482] : INFO : # Recurrent Layers: 4 [2022-03-31 21:09:34 main:483] : INFO : # Backend Layers: 4 [2022-03-31 21:09:34 main:484] : INFO : # Threads: 1 [2022-03-31 21:09:34 main:486] : INFO : Preparing Dataset [2022-03-31 21:09:34 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from dataset.hdf5 into memory [2022-03-31 21:09:34 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from dataset.hdf5 into memory [2022-03-31 21:09:39 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2022-03-31 21:09:39 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from dataset.hdf5 into memory [2022-03-31 21:09:39 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from dataset.hdf5 into memory [2022-03-31 21:09:39 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2022-03-31 21:09:39 main:494] : INFO : Creating Model [2022-03-31 21:09:39 main:507] : INFO : Preparing config file [2022-03-31 21:09:39 main:511] : INFO : Found checkpoint, attempting to load... [2022-03-31 21:09:39 main:512] : INFO : Loading config [2022-03-31 21:09:39 main:514] : INFO : Loading state [2022-03-31 21:09:42 main:559] : INFO : Loading DataLoader into Memory [2022-03-31 21:09:42 main:562] : INFO : Starting Training [2022-03-31 22:25:46 main:574] : INFO : Epoch 1837 | loss: 0.0311159 | val_loss: 0.0312323 | Time: 4.56488e+06 ms [2022-03-31 22:25:51 main:574] : INFO : Epoch 1838 | loss: 0.0310474 | val_loss: 0.0312554 | Time: 4287.96 ms [2022-03-31 22:26:25 main:574] : INFO : Epoch 1839 | loss: 0.031018 | val_loss: 0.0312727 | Time: 34579.1 ms Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: NVIDIA GeForce GTX 1050 Ti) [2022-03-31 22:29:48 main:435] : INFO : Set logging level to 1 [2022-03-31 22:29:48 main:441] : INFO : Running in BOINC Client mode [2022-03-31 22:29:48 main:444] : INFO : Resolving all filenames [2022-03-31 22:29:48 main:452] : INFO : Resolved: dataset.hdf5 => dataset.hdf5 (exists = 1) [2022-03-31 22:29:48 main:452] : INFO : Resolved: model.cfg => model.cfg (exists = 1) [2022-03-31 22:29:48 main:452] : INFO : Resolved: model-final.pt => model-final.pt (exists = 0) [2022-03-31 22:29:48 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 0) [2022-03-31 22:29:48 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1) [2022-03-31 22:29:48 main:472] : INFO : Dataset filename: dataset.hdf5 [2022-03-31 22:29:48 main:474] : INFO : Configuration: [2022-03-31 22:29:48 main:475] : INFO : Model type: GRU [2022-03-31 22:29:48 main:476] : INFO : Validation Loss Threshold: 0.0001 [2022-03-31 22:29:48 main:477] : INFO : Max Epochs: 2048 [2022-03-31 22:29:48 main:478] : INFO : Batch Size: 128 [2022-03-31 22:29:48 main:479] : INFO : Learning Rate: 0.01 [2022-03-31 22:29:48 main:480] : INFO : Patience: 10 [2022-03-31 22:29:48 main:481] : INFO : Hidden Width: 12 [2022-03-31 22:29:48 main:482] : INFO : # Recurrent Layers: 4 [2022-03-31 22:29:48 main:483] : INFO : # Backend Layers: 4 [2022-03-31 22:29:48 main:484] : INFO : # Threads: 1 [2022-03-31 22:29:48 main:486] : INFO : Preparing Dataset [2022-03-31 22:29:48 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from dataset.hdf5 into memory [2022-03-31 22:29:48 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from dataset.hdf5 into memory [2022-03-31 22:29:53 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2022-03-31 22:29:53 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from dataset.hdf5 into memory [2022-03-31 22:29:53 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from dataset.hdf5 into memory [2022-03-31 22:29:53 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2022-03-31 22:29:53 main:494] : INFO : Creating Model [2022-03-31 22:29:53 main:507] : INFO : Preparing config file [2022-03-31 22:29:53 main:511] : INFO : Found checkpoint, attempting to load... [2022-03-31 22:29:53 main:512] : INFO : Loading config [2022-03-31 22:29:53 main:514] : INFO : Loading state [2022-03-31 22:29:55 main:559] : INFO : Loading DataLoader into Memory [2022-03-31 22:29:55 main:562] : INFO : Starting Training Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: NVIDIA GeForce GTX 1050 Ti) [2022-04-02 12:17:42 main:435] : INFO : Set logging level to 1 [2022-04-02 12:17:42 main:441] : INFO : Running in BOINC Client mode [2022-04-02 12:17:42 main:444] : INFO : Resolving all filenames [2022-04-02 12:17:42 main:452] : INFO : Resolved: dataset.hdf5 => dataset.hdf5 (exists = 1) [2022-04-02 12:17:42 main:452] : INFO : Resolved: model.cfg => model.cfg (exists = 1) [2022-04-02 12:17:42 main:452] : INFO : Resolved: model-final.pt => model-final.pt (exists = 0) [2022-04-02 12:17:42 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 0) [2022-04-02 12:17:42 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1) [2022-04-02 12:17:42 main:472] : INFO : Dataset filename: dataset.hdf5 [2022-04-02 12:17:42 main:474] : INFO : Configuration: [2022-04-02 12:17:42 main:475] : INFO : Model type: GRU [2022-04-02 12:17:42 main:476] : INFO : Validation Loss Threshold: 0.0001 [2022-04-02 12:17:42 main:477] : INFO : Max Epochs: 2048 [2022-04-02 12:17:42 main:478] : INFO : Batch Size: 128 [2022-04-02 12:17:42 main:479] : INFO : Learning Rate: 0.01 [2022-04-02 12:17:42 main:480] : INFO : Patience: 10 [2022-04-02 12:17:42 main:481] : INFO : Hidden Width: 12 [2022-04-02 12:17:42 main:482] : INFO : # Recurrent Layers: 4 [2022-04-02 12:17:42 main:483] : INFO : # Backend Layers: 4 [2022-04-02 12:17:42 main:484] : INFO : # Threads: 1 [2022-04-02 12:17:42 main:486] : INFO : Preparing Dataset [2022-04-02 12:17:42 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from dataset.hdf5 into memory [2022-04-02 12:17:43 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from dataset.hdf5 into memory [2022-04-02 12:17:47 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2022-04-02 12:17:47 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from dataset.hdf5 into memory [2022-04-02 12:17:47 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from dataset.hdf5 into memory [2022-04-02 12:17:47 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2022-04-02 12:17:47 main:494] : INFO : Creating Model [2022-04-02 12:17:47 main:507] : INFO : Preparing config file [2022-04-02 12:17:47 main:511] : INFO : Found checkpoint, attempting to load... [2022-04-02 12:17:47 main:512] : INFO : Loading config [2022-04-02 12:17:47 main:514] : INFO : Loading state [2022-04-02 12:17:50 main:559] : INFO : Loading DataLoader into Memory [2022-04-02 12:17:50 main:562] : INFO : Starting Training [2022-04-02 12:17:55 main:574] : INFO : Epoch 1838 | loss: 0.0311423 | val_loss: 0.0312685 | Time: 4807.13 ms [2022-04-02 12:17:58 main:574] : INFO : Epoch 1839 | loss: 0.0310637 | val_loss: 0.0312372 | Time: 3815.45 ms [2022-04-02 12:18:02 main:574] : INFO : Epoch 1840 | loss: 0.0310337 | val_loss: 0.0312534 | Time: 3722.82 ms [2022-04-02 12:18:06 main:574] : INFO : Epoch 1841 | loss: 0.0310158 | val_loss: 0.0312614 | Time: 3660.62 ms [2022-04-02 12:18:09 main:574] : INFO : Epoch 1842 | loss: 0.0310108 | val_loss: 0.0312618 | Time: 3651.41 ms [2022-04-02 12:18:13 main:574] : INFO : Epoch 1843 | loss: 0.0310032 | val_loss: 0.0313057 | Time: 3676.28 ms [2022-04-02 12:18:17 main:574] : INFO : Epoch 1844 | loss: 0.0309999 | val_loss: 0.031289 | Time: 3668.85 ms [2022-04-02 12:18:20 main:574] : INFO : Epoch 1845 | loss: 0.0310044 | val_loss: 0.0312971 | Time: 3649.88 ms [2022-04-02 12:18:24 main:574] : INFO : Epoch 1846 | loss: 0.0309954 | val_loss: 0.031279 | Time: 3616.3 ms [2022-04-02 12:18:28 main:574] : INFO : Epoch 1847 | loss: 0.0310004 | val_loss: 0.0312929 | Time: 3618.21 ms [2022-04-02 12:18:31 main:574] : INFO : Epoch 1848 | loss: 0.0310016 | val_loss: 0.0312814 | Time: 3631.36 ms [2022-04-02 12:18:35 main:574] : INFO : Epoch 1849 | loss: 0.030997 | val_loss: 0.0312778 | Time: 3611.07 ms [2022-04-02 12:18:39 main:574] : INFO : Epoch 1850 | loss: 0.0309973 | val_loss: 0.0312964 | Time: 3618.86 ms [2022-04-02 12:18:42 main:574] : INFO : Epoch 1851 | loss: 0.0309999 | val_loss: 0.031297 | Time: 3609.24 ms [2022-04-02 12:18:46 main:574] : INFO : Epoch 1852 | loss: 0.0309974 | val_loss: 0.0312953 | Time: 3611.57 ms [2022-04-02 12:18:49 main:574] : INFO : Epoch 1853 | loss: 0.0309982 | val_loss: 0.0312723 | Time: 3618.94 ms Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: NVIDIA GeForce GTX 1050 Ti) [2022-04-02 13:00:47 main:435] : INFO : Set logging level to 1 [2022-04-02 13:00:47 main:441] : INFO : Running in BOINC Client mode [2022-04-02 13:00:47 main:444] : INFO : Resolving all filenames [2022-04-02 13:00:47 main:452] : INFO : Resolved: dataset.hdf5 => dataset.hdf5 (exists = 1) [2022-04-02 13:00:47 main:452] : INFO : Resolved: model.cfg => model.cfg (exists = 1) [2022-04-02 13:00:47 main:452] : INFO : Resolved: model-final.pt => model-final.pt (exists = 0) [2022-04-02 13:00:47 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 0) [2022-04-02 13:00:47 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1) [2022-04-02 13:00:47 main:472] : INFO : Dataset filename: dataset.hdf5 [2022-04-02 13:00:47 main:474] : INFO : Configuration: [2022-04-02 13:00:47 main:475] : INFO : Model type: GRU [2022-04-02 13:00:47 main:476] : INFO : Validation Loss Threshold: 0.0001 [2022-04-02 13:00:47 main:477] : INFO : Max Epochs: 2048 [2022-04-02 13:00:47 main:478] : INFO : Batch Size: 128 [2022-04-02 13:00:47 main:479] : INFO : Learning Rate: 0.01 [2022-04-02 13:00:47 main:480] : INFO : Patience: 10 [2022-04-02 13:00:48 main:481] : INFO : Hidden Width: 12 [2022-04-02 13:00:48 main:482] : INFO : # Recurrent Layers: 4 [2022-04-02 13:00:48 main:483] : INFO : # Backend Layers: 4 [2022-04-02 13:00:48 main:484] : INFO : # Threads: 1 [2022-04-02 13:00:48 main:486] : INFO : Preparing Dataset [2022-04-02 13:00:48 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from dataset.hdf5 into memory [2022-04-02 13:00:48 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from dataset.hdf5 into memory [2022-04-02 13:00:53 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2022-04-02 13:00:53 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from dataset.hdf5 into memory [2022-04-02 13:00:54 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from dataset.hdf5 into memory [2022-04-02 13:00:54 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2022-04-02 13:00:54 main:494] : INFO : Creating Model [2022-04-02 13:00:54 main:507] : INFO : Preparing config file [2022-04-02 13:00:54 main:511] : INFO : Found checkpoint, attempting to load... [2022-04-02 13:00:54 main:512] : INFO : Loading config [2022-04-02 13:00:54 main:514] : INFO : Loading state [2022-04-02 13:00:57 main:559] : INFO : Loading DataLoader into Memory [2022-04-02 13:00:57 main:562] : INFO : Starting Training [2022-04-02 13:01:02 main:574] : INFO : Epoch 1838 | loss: 0.0311083 | val_loss: 0.0312407 | Time: 5317.57 ms [2022-04-02 13:01:06 main:574] : INFO : Epoch 1839 | loss: 0.0310479 | val_loss: 0.0312605 | Time: 3889.47 ms [2022-04-02 13:01:10 main:574] : INFO : Epoch 1840 | loss: 0.0310247 | val_loss: 0.0312866 | Time: 3895.28 ms [2022-04-02 13:01:14 main:574] : INFO : Epoch 1841 | loss: 0.0310158 | val_loss: 0.0312594 | Time: 3889.78 ms [2022-04-02 13:01:18 main:574] : INFO : Epoch 1842 | loss: 0.0310147 | val_loss: 0.0312605 | Time: 3943.08 ms [2022-04-02 13:01:22 main:574] : INFO : Epoch 1843 | loss: 0.0310058 | val_loss: 0.0312713 | Time: 4218.57 ms [2022-04-02 13:01:36 main:574] : INFO : Epoch 1844 | loss: 0.0309998 | val_loss: 0.0312948 | Time: 14175.9 ms [2022-04-02 13:01:40 main:574] : INFO : Epoch 1845 | loss: 0.0309979 | val_loss: 0.0312884 | Time: 3809.91 ms [2022-04-02 13:01:44 main:574] : INFO : Epoch 1846 | loss: 0.0310017 | val_loss: 0.0312769 | Time: 3821.04 ms [2022-04-02 13:01:48 main:574] : INFO : Epoch 1847 | loss: 0.0310043 | val_loss: 0.0313032 | Time: 3812.93 ms [2022-04-02 13:01:52 main:574] : INFO : Epoch 1848 | loss: 0.0309983 | val_loss: 0.0312899 | Time: 3827.1 ms [2022-04-02 13:01:55 main:574] : INFO : Epoch 1849 | loss: 0.0309977 | val_loss: 0.0312758 | Time: 3805.51 ms [2022-04-02 13:01:59 main:574] : INFO : Epoch 1850 | loss: 0.0309973 | val_loss: 0.0312829 | Time: 3823.67 ms [2022-04-02 13:02:03 main:574] : INFO : Epoch 1851 | loss: 0.031002 | val_loss: 0.0312689 | Time: 3757.71 ms [2022-04-02 13:02:07 main:574] : INFO : Epoch 1852 | loss: 0.0310061 | val_loss: 0.0312836 | Time: 4130.03 ms [2022-04-02 13:02:11 main:574] : INFO : Epoch 1853 | loss: 0.0310033 | val_loss: 0.0312737 | Time: 4131.54 ms [2022-04-02 13:02:19 main:574] : INFO : Epoch 1854 | loss: 0.0310007 | val_loss: 0.0312666 | Time: 7866.29 ms [2022-04-02 13:30:30 main:574] : INFO : Epoch 1855 | loss: 0.0309973 | val_loss: 0.0312883 | Time: 1.691e+06 ms [2022-04-02 13:30:34 main:574] : INFO : Epoch 1856 | loss: 0.0310029 | val_loss: 0.0313003 | Time: 3731.05 ms [2022-04-02 13:30:38 main:574] : INFO : Epoch 1857 | loss: 0.031016 | val_loss: 0.0312824 | Time: 3661.18 ms [2022-04-02 13:30:42 main:574] : INFO : Epoch 1858 | loss: 0.0310139 | val_loss: 0.0312863 | Time: 3661.09 ms [2022-04-02 13:30:46 main:574] : INFO : Epoch 1859 | loss: 0.0310097 | val_loss: 0.0313056 | Time: 3875.59 ms [2022-04-02 13:30:50 main:574] : INFO : Epoch 1860 | loss: 0.0309995 | val_loss: 0.0312894 | Time: 3579.99 ms [2022-04-02 13:30:54 main:574] : INFO : Epoch 1861 | loss: 0.0310005 | val_loss: 0.031277 | Time: 3761.34 ms [2022-04-02 13:30:57 main:574] : INFO : Epoch 1862 | loss: 0.0310007 | val_loss: 0.0312669 | Time: 3639.53 ms [2022-04-02 13:31:31 main:574] : INFO : Epoch 1863 | loss: 0.0309967 | val_loss: 0.0312778 | Time: 34058.4 ms [2022-04-02 13:31:35 main:574] : INFO : Epoch 1864 | loss: 0.0309886 | val_loss: 0.0312819 | Time: 3687.41 ms [2022-04-02 13:31:39 main:574] : INFO : Epoch 1865 | loss: 0.031 | val_loss: 0.0313051 | Time: 3702.4 ms [2022-04-02 13:31:42 main:574] : INFO : Epoch 1866 | loss: 0.0310009 | val_loss: 0.0312649 | Time: 3702.87 ms [2022-04-02 13:31:46 main:574] : INFO : Epoch 1867 | loss: 0.0309991 | val_loss: 0.031286 | Time: 3775.47 ms [2022-04-02 13:31:50 main:574] : INFO : Epoch 1868 | loss: 0.0309908 | val_loss: 0.0313079 | Time: 3621.02 ms [2022-04-02 13:31:54 main:574] : INFO : Epoch 1869 | loss: 0.0309887 | val_loss: 0.0313019 | Time: 3649.2 ms [2022-04-02 13:31:57 main:574] : INFO : Epoch 1870 | loss: 0.0309968 | val_loss: 0.0312906 | Time: 3576.97 ms [2022-04-02 13:32:01 main:574] : INFO : Epoch 1871 | loss: 0.0309947 | val_loss: 0.0312806 | Time: 3599.31 ms [2022-04-02 13:32:04 main:574] : INFO : Epoch 1872 | loss: 0.0309935 | val_loss: 0.0312899 | Time: 3619.5 ms [2022-04-02 13:32:08 main:574] : INFO : Epoch 1873 | loss: 0.030993 | val_loss: 0.0312897 | Time: 3660.87 ms [2022-04-02 13:32:12 main:574] : INFO : Epoch 1874 | loss: 0.0310582 | val_loss: 0.0312406 | Time: 3586.19 ms [2022-04-02 13:32:15 main:574] : INFO : Epoch 1875 | loss: 0.031047 | val_loss: 0.0312669 | Time: 3737.73 ms [2022-04-02 13:32:19 main:574] : INFO : Epoch 1876 | loss: 0.0310197 | val_loss: 0.0312823 | Time: 3573.93 ms [2022-04-02 13:32:23 main:574] : INFO : Epoch 1877 | loss: 0.0310016 | val_loss: 0.0312641 | Time: 3546.8 ms [2022-04-02 13:32:28 main:574] : INFO : Epoch 1878 | loss: 0.0309991 | val_loss: 0.0312981 | Time: 4745.91 ms [2022-04-02 13:32:42 main:574] : INFO : Epoch 1879 | loss: 0.0310052 | val_loss: 0.0312737 | Time: 14826 ms [2022-04-02 13:32:46 main:574] : INFO : Epoch 1880 | loss: 0.0309947 | val_loss: 0.0312811 | Time: 3985.88 ms [2022-04-02 13:32:50 main:574] : INFO : Epoch 1881 | loss: 0.0309924 | val_loss: 0.0312917 | Time: 3706.28 ms [2022-04-02 13:32:54 main:574] : INFO : Epoch 1882 | loss: 0.0309889 | val_loss: 0.0312962 | Time: 3678.07 ms [2022-04-02 13:32:58 main:574] : INFO : Epoch 1883 | loss: 0.0309862 | val_loss: 0.0313047 | Time: 3727.98 ms [2022-04-02 13:33:21 main:574] : INFO : Epoch 1884 | loss: 0.0309963 | val_loss: 0.0312723 | Time: 23803.3 ms [2022-04-02 13:33:25 main:574] : INFO : Epoch 1885 | loss: 0.0310074 | val_loss: 0.031258 | Time: 3677.2 ms [2022-04-02 13:33:29 main:574] : INFO : Epoch 1886 | loss: 0.0310024 | val_loss: 0.0312971 | Time: 3679.39 ms [2022-04-02 13:33:32 main:574] : INFO : Epoch 1887 | loss: 0.0309958 | val_loss: 0.0312823 | Time: 3657.96 ms Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: NVIDIA GeForce GTX 1050 Ti) [2022-04-02 13:35:35 main:435] : INFO : Set logging level to 1 [2022-04-02 13:35:35 main:441] : INFO : Running in BOINC Client mode [2022-04-02 13:35:35 main:444] : INFO : Resolving all filenames [2022-04-02 13:35:35 main:452] : INFO : Resolved: dataset.hdf5 => dataset.hdf5 (exists = 1) [2022-04-02 13:35:35 main:452] : INFO : Resolved: model.cfg => model.cfg (exists = 1) [2022-04-02 13:35:35 main:452] : INFO : Resolved: model-final.pt => model-final.pt (exists = 0) [2022-04-02 13:35:35 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 0) [2022-04-02 13:35:35 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1) [2022-04-02 13:35:35 main:472] : INFO : Dataset filename: dataset.hdf5 [2022-04-02 13:35:35 main:474] : INFO : Configuration: [2022-04-02 13:35:35 main:475] : INFO : Model type: GRU [2022-04-02 13:35:35 main:476] : INFO : Validation Loss Threshold: 0.0001 [2022-04-02 13:35:35 main:477] : INFO : Max Epochs: 2048 [2022-04-02 13:35:35 main:478] : INFO : Batch Size: 128 [2022-04-02 13:35:35 main:479] : INFO : Learning Rate: 0.01 [2022-04-02 13:35:35 main:480] : INFO : Patience: 10 [2022-04-02 13:35:35 main:481] : INFO : Hidden Width: 12 [2022-04-02 13:35:35 main:482] : INFO : # Recurrent Layers: 4 [2022-04-02 13:35:35 main:483] : INFO : # Backend Layers: 4 [2022-04-02 13:35:35 main:484] : INFO : # Threads: 1 [2022-04-02 13:35:35 main:486] : INFO : Preparing Dataset [2022-04-02 13:35:35 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from dataset.hdf5 into memory [2022-04-02 13:35:35 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from dataset.hdf5 into memory [2022-04-02 13:35:39 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2022-04-02 13:35:39 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from dataset.hdf5 into memory [2022-04-02 13:35:39 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from dataset.hdf5 into memory [2022-04-02 13:35:40 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2022-04-02 13:35:40 main:494] : INFO : Creating Model [2022-04-02 13:35:40 main:507] : INFO : Preparing config file [2022-04-02 13:35:40 main:511] : INFO : Found checkpoint, attempting to load... [2022-04-02 13:35:40 main:512] : INFO : Loading config [2022-04-02 13:35:40 main:514] : INFO : Loading state [2022-04-02 13:35:42 main:559] : INFO : Loading DataLoader into Memory [2022-04-02 13:35:42 main:562] : INFO : Starting Training [2022-04-02 13:35:46 main:574] : INFO : Epoch 1856 | loss: 0.0310767 | val_loss: 0.0312541 | Time: 4301.95 ms [2022-04-02 13:35:50 main:574] : INFO : Epoch 1857 | loss: 0.0310251 | val_loss: 0.0312687 | Time: 3635.16 ms [2022-04-02 13:35:55 main:574] : INFO : Epoch 1858 | loss: 0.0310192 | val_loss: 0.0312665 | Time: 5060.2 ms [2022-04-02 13:36:21 main:574] : INFO : Epoch 1859 | loss: 0.0310068 | val_loss: 0.0312596 | Time: 26591.3 ms [2022-04-02 13:36:25 main:574] : INFO : Epoch 1860 | loss: 0.0310001 | val_loss: 0.0313 | Time: 3587.11 ms [2022-04-02 13:36:29 main:574] : INFO : Epoch 1861 | loss: 0.0310008 | val_loss: 0.031277 | Time: 3783.75 ms [2022-04-02 13:36:43 main:574] : INFO : Epoch 1862 | loss: 0.0309938 | val_loss: 0.0312863 | Time: 13837.9 ms [2022-04-02 13:36:47 main:574] : INFO : Epoch 1863 | loss: 0.030996 | val_loss: 0.0313029 | Time: 3842.16 ms [2022-04-02 13:36:50 main:574] : INFO : Epoch 1864 | loss: 0.0309941 | val_loss: 0.0312958 | Time: 3718.26 ms [2022-04-02 13:36:54 main:574] : INFO : Epoch 1865 | loss: 0.0310002 | val_loss: 0.0312909 | Time: 3682.26 ms [2022-04-02 13:36:58 main:574] : INFO : Epoch 1866 | loss: 0.0310038 | val_loss: 0.0313187 | Time: 4097.38 ms [2022-04-02 13:37:12 main:574] : INFO : Epoch 1867 | loss: 0.0309934 | val_loss: 0.0312945 | Time: 13827.3 ms [2022-04-02 13:37:16 main:574] : INFO : Epoch 1868 | loss: 0.0309869 | val_loss: 0.0312787 | Time: 3926.26 ms [2022-04-02 13:37:20 main:574] : INFO : Epoch 1869 | loss: 0.0309915 | val_loss: 0.0313015 | Time: 3644.3 ms [2022-04-02 13:37:23 main:574] : INFO : Epoch 1870 | loss: 0.0310004 | val_loss: 0.0312879 | Time: 3828.15 ms [2022-04-02 13:37:27 main:574] : INFO : Epoch 1871 | loss: 0.0310085 | val_loss: 0.0312772 | Time: 3730.03 ms [2022-04-02 13:37:31 main:574] : INFO : Epoch 1872 | loss: 0.0310009 | val_loss: 0.0312762 | Time: 3563.66 ms [2022-04-02 13:37:34 main:574] : INFO : Epoch 1873 | loss: 0.0310081 | val_loss: 0.0312557 | Time: 3546.97 ms [2022-04-02 13:37:38 main:574] : INFO : Epoch 1874 | loss: 0.0310346 | val_loss: 0.031255 | Time: 3535.14 ms [2022-04-02 13:37:41 main:574] : INFO : Epoch 1875 | loss: 0.0310069 | val_loss: 0.0312849 | Time: 3549.58 ms [2022-04-02 13:37:45 main:574] : INFO : Epoch 1876 | loss: 0.0309952 | val_loss: 0.0312818 | Time: 3709.42 ms [2022-04-02 13:37:49 main:574] : INFO : Epoch 1877 | loss: 0.0309972 | val_loss: 0.0312763 | Time: 3476.28 ms [2022-04-02 13:37:52 main:574] : INFO : Epoch 1878 | loss: 0.0310003 | val_loss: 0.0312739 | Time: 3504.75 ms [2022-04-02 13:37:56 main:574] : INFO : Epoch 1879 | loss: 0.0309901 | val_loss: 0.0312836 | Time: 3442.19 ms [2022-04-02 13:37:59 main:574] : INFO : Epoch 1880 | loss: 0.0309944 | val_loss: 0.0312706 | Time: 3519.02 ms [2022-04-02 13:38:03 main:574] : INFO : Epoch 1881 | loss: 0.0309983 | val_loss: 0.0312972 | Time: 3555.74 ms [2022-04-02 13:38:06 main:574] : INFO : Epoch 1882 | loss: 0.030995 | val_loss: 0.0312723 | Time: 3607.08 ms [2022-04-02 13:38:10 main:574] : INFO : Epoch 1883 | loss: 0.0309957 | val_loss: 0.0313084 | Time: 3561.58 ms [2022-04-02 13:38:14 main:574] : INFO : Epoch 1884 | loss: 0.0309985 | val_loss: 0.0312611 | Time: 3699.78 ms [2022-04-02 13:38:17 main:574] : INFO : Epoch 1885 | loss: 0.031 | val_loss: 0.0312738 | Time: 3619.18 ms [2022-04-02 13:38:21 main:574] : INFO : Epoch 1886 | loss: 0.0309965 | val_loss: 0.0312844 | Time: 3488.67 ms [2022-04-02 13:38:24 main:574] : INFO : Epoch 1887 | loss: 0.0309945 | val_loss: 0.0312919 | Time: 3505.25 ms [2022-04-02 13:38:28 main:574] : INFO : Epoch 1888 | loss: 0.0309907 | val_loss: 0.0313009 | Time: 3518.66 ms [2022-04-02 13:38:32 main:574] : INFO : Epoch 1889 | loss: 0.0309986 | val_loss: 0.0312855 | Time: 3554.05 ms [2022-04-02 13:38:35 main:574] : INFO : Epoch 1890 | loss: 0.0309924 | val_loss: 0.031288 | Time: 3494.98 ms [2022-04-02 13:38:39 main:574] : INFO : Epoch 1891 | loss: 0.0309947 | val_loss: 0.0313162 | Time: 3535.19 ms [2022-04-02 13:38:53 main:574] : INFO : Epoch 1892 | loss: 0.0309951 | val_loss: 0.0312984 | Time: 14360.3 ms [2022-04-02 13:38:57 main:574] : INFO : Epoch 1893 | loss: 0.0309953 | val_loss: 0.0312683 | Time: 3875.67 ms [2022-04-02 13:39:01 main:574] : INFO : Epoch 1894 | loss: 0.0310004 | val_loss: 0.0312856 | Time: 3735.14 ms [2022-04-02 13:39:05 main:574] : INFO : Epoch 1895 | loss: 0.0310091 | val_loss: 0.0312864 | Time: 3642.49 ms [2022-04-02 13:39:09 main:574] : INFO : Epoch 1896 | loss: 0.031006 | val_loss: 0.0312659 | Time: 3635.48 ms [2022-04-02 13:39:13 main:574] : INFO : Epoch 1897 | loss: 0.0309989 | val_loss: 0.0312959 | Time: 3705.78 ms [2022-04-02 13:39:17 main:574] : INFO : Epoch 1898 | loss: 0.030993 | val_loss: 0.0312747 | Time: 3963.46 ms [2022-04-02 13:39:21 main:574] : INFO : Epoch 1899 | loss: 0.0309964 | val_loss: 0.0312896 | Time: 3893.77 ms [2022-04-02 13:39:35 main:574] : INFO : Epoch 1900 | loss: 0.030993 | val_loss: 0.0312978 | Time: 13731.4 ms [2022-04-02 13:39:38 main:574] : INFO : Epoch 1901 | loss: 0.031 | val_loss: 0.0312886 | Time: 3560.97 ms [2022-04-02 13:39:42 main:574] : INFO : Epoch 1902 | loss: 0.0310108 | val_loss: 0.0312601 | Time: 3587.04 ms [2022-04-02 13:39:46 main:574] : INFO : Epoch 1903 | loss: 0.030997 | val_loss: 0.0312806 | Time: 3789.94 ms [2022-04-02 13:39:49 main:574] : INFO : Epoch 1904 | loss: 0.0310014 | val_loss: 0.0312695 | Time: 3544 ms [2022-04-02 13:39:53 main:574] : INFO : Epoch 1905 | loss: 0.0310123 | val_loss: 0.0312753 | Time: 3607.02 ms [2022-04-02 13:39:57 main:574] : INFO : Epoch 1906 | loss: 0.0310183 | val_loss: 0.0312892 | Time: 3571.12 ms [2022-04-02 13:40:00 main:574] : INFO : Epoch 1907 | loss: 0.0310012 | val_loss: 0.0312792 | Time: 3550.82 ms [2022-04-02 13:40:04 main:574] : INFO : Epoch 1908 | loss: 0.0310013 | val_loss: 0.031269 | Time: 3654.79 ms [2022-04-02 13:40:07 main:574] : INFO : Epoch 1909 | loss: 0.0310061 | val_loss: 0.0312845 | Time: 3667.63 ms [2022-04-02 13:40:11 main:574] : INFO : Epoch 1910 | loss: 0.0310004 | val_loss: 0.0312628 | Time: 3582.77 ms [2022-04-02 13:40:15 main:574] : INFO : Epoch 1911 | loss: 0.0309905 | val_loss: 0.0312937 | Time: 3647.17 ms [2022-04-02 13:40:18 main:574] : INFO : Epoch 1912 | loss: 0.0309953 | val_loss: 0.0312962 | Time: 3560.7 ms [2022-04-02 13:40:22 main:574] : INFO : Epoch 1913 | loss: 0.0310081 | val_loss: 0.0312758 | Time: 3571.5 ms [2022-04-02 13:40:26 main:574] : INFO : Epoch 1914 | loss: 0.0310036 | val_loss: 0.0312792 | Time: 3548.76 ms [2022-04-02 13:40:29 main:574] : INFO : Epoch 1915 | loss: 0.0310022 | val_loss: 0.031281 | Time: 3504.06 ms [2022-04-02 13:40:33 main:574] : INFO : Epoch 1916 | loss: 0.0309938 | val_loss: 0.0313292 | Time: 3988.6 ms [2022-04-02 13:40:57 main:574] : INFO : Epoch 1917 | loss: 0.0310046 | val_loss: 0.0312671 | Time: 23929.9 ms [2022-04-02 13:41:03 main:574] : INFO : Epoch 1918 | loss: 0.0309972 | val_loss: 0.0312916 | Time: 6020.37 ms [2022-04-02 13:41:17 main:574] : INFO : Epoch 1919 | loss: 0.0309933 | val_loss: 0.0312986 | Time: 13713.5 ms [2022-04-02 13:41:21 main:574] : INFO : Epoch 1920 | loss: 0.0309954 | val_loss: 0.0312722 | Time: 3636.39 ms [2022-04-02 13:41:24 main:574] : INFO : Epoch 1921 | loss: 0.0309964 | val_loss: 0.0312906 | Time: 3575.7 ms [2022-04-02 13:41:28 main:574] : INFO : Epoch 1922 | loss: 0.030996 | val_loss: 0.0312821 | Time: 3624.13 ms [2022-04-02 13:41:32 main:574] : INFO : Epoch 1923 | loss: 0.0310098 | val_loss: 0.0312871 | Time: 3822.21 ms [2022-04-02 13:41:56 main:574] : INFO : Epoch 1924 | loss: 0.0309946 | val_loss: 0.0312933 | Time: 23873.8 ms [2022-04-02 13:41:59 main:574] : INFO : Epoch 1925 | loss: 0.0309914 | val_loss: 0.031294 | Time: 3696.9 ms [2022-04-02 13:42:03 main:574] : INFO : Epoch 1926 | loss: 0.0309918 | val_loss: 0.0312949 | Time: 3766.65 ms [2022-04-02 13:42:07 main:574] : INFO : Epoch 1927 | loss: 0.0309939 | val_loss: 0.0312741 | Time: 3740.32 ms [2022-04-02 13:42:11 main:574] : INFO : Epoch 1928 | loss: 0.030988 | val_loss: 0.0312975 | Time: 3680.49 ms [2022-04-02 13:42:14 main:574] : INFO : Epoch 1929 | loss: 0.0309843 | val_loss: 0.0312874 | Time: 3818.43 ms [2022-04-02 13:42:18 main:574] : INFO : Epoch 1930 | loss: 0.0309958 | val_loss: 0.0312556 | Time: 3682.32 ms [2022-04-02 13:42:22 main:574] : INFO : Epoch 1931 | loss: 0.0310026 | val_loss: 0.0312814 | Time: 3770.27 ms [2022-04-02 13:43:27 main:574] : INFO : Epoch 1932 | loss: 0.0310082 | val_loss: 0.0312901 | Time: 65494.1 ms [2022-04-02 13:43:32 main:574] : INFO : Epoch 1933 | loss: 0.0309958 | val_loss: 0.0313003 | Time: 4103.23 ms [2022-04-02 13:44:16 main:574] : INFO : Epoch 1934 | loss: 0.0309853 | val_loss: 0.0312975 | Time: 44279.3 ms [2022-04-02 13:44:25 main:574] : INFO : Epoch 1935 | loss: 0.0309964 | val_loss: 0.0312808 | Time: 4768.92 ms [2022-04-02 13:44:30 main:574] : INFO : Epoch 1936 | loss: 0.0309966 | val_loss: 0.0313138 | Time: 4700.88 ms [2022-04-02 13:44:34 main:574] : INFO : Epoch 1937 | loss: 0.0309967 | val_loss: 0.0313042 | Time: 4166.11 ms [2022-04-02 13:44:58 main:574] : INFO : Epoch 1938 | loss: 0.0309972 | val_loss: 0.0312929 | Time: 24208.4 ms [2022-04-02 13:45:02 main:574] : INFO : Epoch 1939 | loss: 0.0309987 | val_loss: 0.0313122 | Time: 3806.54 ms [2022-04-02 13:45:06 main:574] : INFO : Epoch 1940 | loss: 0.0310146 | val_loss: 0.0312983 | Time: 3757.31 ms [2022-04-02 13:45:10 main:574] : INFO : Epoch 1941 | loss: 0.0309983 | val_loss: 0.0312828 | Time: 3892.69 ms [2022-04-02 13:45:14 main:574] : INFO : Epoch 1942 | loss: 0.0310013 | val_loss: 0.0312983 | Time: 3701.72 ms [2022-04-02 13:45:38 main:574] : INFO : Epoch 1943 | loss: 0.0310018 | val_loss: 0.0313029 | Time: 24670.5 ms [2022-04-02 13:45:42 main:574] : INFO : Epoch 1944 | loss: 0.0309978 | val_loss: 0.0312913 | Time: 3699.69 ms [2022-04-02 13:45:46 main:574] : INFO : Epoch 1945 | loss: 0.0309915 | val_loss: 0.0312887 | Time: 3646.12 ms [2022-04-02 13:45:49 main:574] : INFO : Epoch 1946 | loss: 0.0310125 | val_loss: 0.0312797 | Time: 3552.01 ms [2022-04-02 13:45:53 main:574] : INFO : Epoch 1947 | loss: 0.0310092 | val_loss: 0.0313045 | Time: 3641.91 ms [2022-04-02 13:45:56 main:574] : INFO : Epoch 1948 | loss: 0.0310002 | val_loss: 0.0312732 | Time: 3624.62 ms [2022-04-02 13:46:00 main:574] : INFO : Epoch 1949 | loss: 0.0309991 | val_loss: 0.0312998 | Time: 3579.9 ms [2022-04-02 13:46:04 main:574] : INFO : Epoch 1950 | loss: 0.0309914 | val_loss: 0.0312991 | Time: 3565.59 ms [2022-04-02 13:46:07 main:574] : INFO : Epoch 1951 | loss: 0.0309944 | val_loss: 0.0312618 | Time: 3607.96 ms [2022-04-02 13:46:11 main:574] : INFO : Epoch 1952 | loss: 0.0309983 | val_loss: 0.0312932 | Time: 3567.31 ms [2022-04-02 13:46:15 main:574] : INFO : Epoch 1953 | loss: 0.0309984 | val_loss: 0.0312885 | Time: 3656.23 ms [2022-04-02 13:46:19 main:574] : INFO : Epoch 1954 | loss: 0.0309886 | val_loss: 0.0313015 | Time: 4624.24 ms [2022-04-02 13:46:23 main:574] : INFO : Epoch 1955 | loss: 0.0309919 | val_loss: 0.0312654 | Time: 3753.82 ms [2022-04-02 13:46:27 main:574] : INFO : Epoch 1956 | loss: 0.0309959 | val_loss: 0.0312884 | Time: 3729.43 ms [2022-04-02 13:46:31 main:574] : INFO : Epoch 1957 | loss: 0.0309959 | val_loss: 0.0312871 | Time: 4845.73 ms [2022-04-02 13:46:47 main:574] : INFO : Epoch 1958 | loss: 0.0309954 | val_loss: 0.0312918 | Time: 15312.2 ms [2022-04-02 13:46:51 main:574] : INFO : Epoch 1959 | loss: 0.0309978 | val_loss: 0.0312788 | Time: 3749.87 ms [2022-04-02 13:46:54 main:574] : INFO : Epoch 1960 | loss: 0.0310055 | val_loss: 0.0312896 | Time: 3711.86 ms [2022-04-02 13:46:58 main:574] : INFO : Epoch 1961 | loss: 0.0310024 | val_loss: 0.0312459 | Time: 3621.89 ms [2022-04-02 13:47:02 main:574] : INFO : Epoch 1962 | loss: 0.0310013 | val_loss: 0.031276 | Time: 3660.08 ms [2022-04-02 13:47:05 main:574] : INFO : Epoch 1963 | loss: 0.0309966 | val_loss: 0.0312894 | Time: 3637.04 ms [2022-04-02 13:47:09 main:574] : INFO : Epoch 1964 | loss: 0.0309967 | val_loss: 0.0313002 | Time: 3638.95 ms [2022-04-02 13:47:12 main:574] : INFO : Epoch 1965 | loss: 0.0310015 | val_loss: 0.03131 | Time: 3611.3 ms [2022-04-02 13:47:16 main:574] : INFO : Epoch 1966 | loss: 0.0309955 | val_loss: 0.0312913 | Time: 3635.78 ms [2022-04-02 13:47:20 main:574] : INFO : Epoch 1967 | loss: 0.0309991 | val_loss: 0.0312878 | Time: 3623.56 ms [2022-04-02 13:47:23 main:574] : INFO : Epoch 1968 | loss: 0.0310054 | val_loss: 0.0312793 | Time: 3589.16 ms [2022-04-02 13:47:30 main:574] : INFO : Epoch 1969 | loss: 0.0310042 | val_loss: 0.031268 | Time: 6377.62 ms [2022-04-02 13:47:35 main:574] : INFO : Epoch 1970 | loss: 0.0309912 | val_loss: 0.0313089 | Time: 5261.38 ms [2022-04-02 13:48:00 main:574] : INFO : Epoch 1971 | loss: 0.0309883 | val_loss: 0.031294 | Time: 23827.6 ms [2022-04-02 13:48:04 main:574] : INFO : Epoch 1972 | loss: 0.0309915 | val_loss: 0.0312601 | Time: 3748.64 ms [2022-04-02 13:48:08 main:574] : INFO : Epoch 1973 | loss: 0.0310062 | val_loss: 0.0312597 | Time: 3722.07 ms [2022-04-02 13:48:12 main:574] : INFO : Epoch 1974 | loss: 0.0310024 | val_loss: 0.0312935 | Time: 3724.53 ms [2022-04-02 13:48:15 main:574] : INFO : Epoch 1975 | loss: 0.0309892 | val_loss: 0.0312965 | Time: 3717.33 ms [2022-04-02 13:48:19 main:574] : INFO : Epoch 1976 | loss: 0.0309954 | val_loss: 0.0313084 | Time: 3708.11 ms [2022-04-02 13:48:23 main:574] : INFO : Epoch 1977 | loss: 0.0309948 | val_loss: 0.0313021 | Time: 3733.88 ms [2022-04-02 13:48:26 main:574] : INFO : Epoch 1978 | loss: 0.0309899 | val_loss: 0.0312902 | Time: 3717.22 ms [2022-04-02 13:48:30 main:574] : INFO : Epoch 1979 | loss: 0.0309941 | val_loss: 0.0312965 | Time: 3689.95 ms [2022-04-02 13:48:34 main:574] : INFO : Epoch 1980 | loss: 0.0309887 | val_loss: 0.0312803 | Time: 3661.3 ms [2022-04-02 13:48:37 main:574] : INFO : Epoch 1981 | loss: 0.0309944 | val_loss: 0.0312938 | Time: 3630.11 ms [2022-04-02 13:48:41 main:574] : INFO : Epoch 1982 | loss: 0.0310021 | val_loss: 0.0312872 | Time: 3644.08 ms [2022-04-02 13:48:45 main:574] : INFO : Epoch 1983 | loss: 0.031001 | val_loss: 0.0313001 | Time: 3634.57 ms [2022-04-02 13:48:48 main:574] : INFO : Epoch 1984 | loss: 0.0309948 | val_loss: 0.0312867 | Time: 3632.04 ms [2022-04-02 13:48:52 main:574] : INFO : Epoch 1985 | loss: 0.0309931 | val_loss: 0.0313288 | Time: 3608.21 ms [2022-04-02 13:48:56 main:574] : INFO : Epoch 1986 | loss: 0.0309947 | val_loss: 0.0313039 | Time: 3623.33 ms [2022-04-02 13:48:59 main:574] : INFO : Epoch 1987 | loss: 0.0309916 | val_loss: 0.0312774 | Time: 3597.99 ms [2022-04-02 13:49:03 main:574] : INFO : Epoch 1988 | loss: 0.0310001 | val_loss: 0.0312856 | Time: 3618.73 ms [2022-04-02 13:49:06 main:574] : INFO : Epoch 1989 | loss: 0.0309979 | val_loss: 0.0312841 | Time: 3564.28 ms [2022-04-02 13:49:10 main:574] : INFO : Epoch 1990 | loss: 0.0310026 | val_loss: 0.0312782 | Time: 3623.72 ms [2022-04-02 13:49:14 main:574] : INFO : Epoch 1991 | loss: 0.0310083 | val_loss: 0.031288 | Time: 3590.67 ms [2022-04-02 13:49:17 main:574] : INFO : Epoch 1992 | loss: 0.0309891 | val_loss: 0.0312651 | Time: 3591.66 ms [2022-04-02 13:49:21 main:574] : INFO : Epoch 1993 | loss: 0.0309921 | val_loss: 0.0312968 | Time: 3650.82 ms [2022-04-02 13:49:24 main:574] : INFO : Epoch 1994 | loss: 0.0309892 | val_loss: 0.0313298 | Time: 3609.86 ms [2022-04-02 13:49:28 main:574] : INFO : Epoch 1995 | loss: 0.0309969 | val_loss: 0.0312765 | Time: 3585.34 ms [2022-04-02 13:49:32 main:574] : INFO : Epoch 1996 | loss: 0.0310077 | val_loss: 0.0313023 | Time: 3561.64 ms [2022-04-02 13:49:35 main:574] : INFO : Epoch 1997 | loss: 0.0310146 | val_loss: 0.0313234 | Time: 3623.19 ms [2022-04-02 13:49:39 main:574] : INFO : Epoch 1998 | loss: 0.0310021 | val_loss: 0.0312861 | Time: 3645.76 ms [2022-04-02 13:49:43 main:574] : INFO : Epoch 1999 | loss: 0.0310023 | val_loss: 0.0312993 | Time: 3636.98 ms [2022-04-02 13:49:46 main:574] : INFO : Epoch 2000 | loss: 0.031006 | val_loss: 0.0312677 | Time: 3641.11 ms [2022-04-02 13:49:50 main:574] : INFO : Epoch 2001 | loss: 0.031014 | val_loss: 0.0312549 | Time: 3617 ms [2022-04-02 13:49:53 main:574] : INFO : Epoch 2002 | loss: 0.0310503 | val_loss: 0.0312741 | Time: 3614.24 ms [2022-04-02 13:49:57 main:574] : INFO : Epoch 2003 | loss: 0.0310154 | val_loss: 0.0312895 | Time: 3634.33 ms [2022-04-02 13:50:01 main:574] : INFO : Epoch 2004 | loss: 0.0310077 | val_loss: 0.0313059 | Time: 3600.16 ms [2022-04-02 13:50:04 main:574] : INFO : Epoch 2005 | loss: 0.0310084 | val_loss: 0.0312763 | Time: 3595.38 ms [2022-04-02 13:50:08 main:574] : INFO : Epoch 2006 | loss: 0.0310065 | val_loss: 0.0312963 | Time: 3620.54 ms [2022-04-02 13:50:12 main:574] : INFO : Epoch 2007 | loss: 0.0309975 | val_loss: 0.0312819 | Time: 3606.38 ms [2022-04-02 13:50:15 main:574] : INFO : Epoch 2008 | loss: 0.0310127 | val_loss: 0.0313139 | Time: 3620 ms [2022-04-02 13:50:19 main:574] : INFO : Epoch 2009 | loss: 0.0309996 | val_loss: 0.0313068 | Time: 3654.23 ms [2022-04-02 13:50:22 main:574] : INFO : Epoch 2010 | loss: 0.0309993 | val_loss: 0.0312721 | Time: 3601.87 ms [2022-04-02 13:50:26 main:574] : INFO : Epoch 2011 | loss: 0.0309969 | val_loss: 0.0312966 | Time: 3613.89 ms [2022-04-02 13:50:30 main:574] : INFO : Epoch 2012 | loss: 0.0309892 | val_loss: 0.0313207 | Time: 3561.19 ms [2022-04-02 13:50:33 main:574] : INFO : Epoch 2013 | loss: 0.0309936 | val_loss: 0.0312693 | Time: 3627.05 ms [2022-04-02 13:50:37 main:574] : INFO : Epoch 2014 | loss: 0.0309944 | val_loss: 0.0312829 | Time: 3648.5 ms [2022-04-02 13:50:41 main:574] : INFO : Epoch 2015 | loss: 0.0309956 | val_loss: 0.0312856 | Time: 3623.11 ms [2022-04-02 13:50:44 main:574] : INFO : Epoch 2016 | loss: 0.0309987 | val_loss: 0.0312891 | Time: 3627.38 ms [2022-04-02 13:50:48 main:574] : INFO : Epoch 2017 | loss: 0.0309868 | val_loss: 0.0313083 | Time: 3613.82 ms [2022-04-02 13:50:51 main:574] : INFO : Epoch 2018 | loss: 0.0309917 | val_loss: 0.0312805 | Time: 3631.4 ms [2022-04-02 13:50:55 main:574] : INFO : Epoch 2019 | loss: 0.0309953 | val_loss: 0.0312973 | Time: 3617.25 ms [2022-04-02 13:50:59 main:574] : INFO : Epoch 2020 | loss: 0.0309971 | val_loss: 0.0312674 | Time: 3650.98 ms [2022-04-02 13:51:02 main:574] : INFO : Epoch 2021 | loss: 0.0310085 | val_loss: 0.0312873 | Time: 3583.1 ms [2022-04-02 13:51:06 main:574] : INFO : Epoch 2022 | loss: 0.0310078 | val_loss: 0.0312804 | Time: 3648.35 ms [2022-04-02 13:51:10 main:574] : INFO : Epoch 2023 | loss: 0.0309979 | val_loss: 0.0313123 | Time: 3630.29 ms [2022-04-02 13:51:13 main:574] : INFO : Epoch 2024 | loss: 0.0309917 | val_loss: 0.031286 | Time: 3584.63 ms [2022-04-02 13:51:17 main:574] : INFO : Epoch 2025 | loss: 0.030997 | val_loss: 0.0312826 | Time: 3588.45 ms [2022-04-02 13:51:20 main:574] : INFO : Epoch 2026 | loss: 0.0310057 | val_loss: 0.0312578 | Time: 3583.86 ms [2022-04-02 13:51:24 main:574] : INFO : Epoch 2027 | loss: 0.031008 | val_loss: 0.0312672 | Time: 3659.33 ms [2022-04-02 13:51:28 main:574] : INFO : Epoch 2028 | loss: 0.0310068 | val_loss: 0.0312828 | Time: 3634.97 ms [2022-04-02 13:51:31 main:574] : INFO : Epoch 2029 | loss: 0.0310046 | val_loss: 0.0312876 | Time: 3546.23 ms [2022-04-02 13:51:35 main:574] : INFO : Epoch 2030 | loss: 0.0309933 | val_loss: 0.0312736 | Time: 3621.37 ms [2022-04-02 13:51:38 main:574] : INFO : Epoch 2031 | loss: 0.0309931 | val_loss: 0.0312841 | Time: 3582.62 ms [2022-04-02 13:51:42 main:574] : INFO : Epoch 2032 | loss: 0.0309954 | val_loss: 0.0313025 | Time: 3540.07 ms [2022-04-02 13:51:46 main:574] : INFO : Epoch 2033 | loss: 0.0309948 | val_loss: 0.0312968 | Time: 3568.97 ms [2022-04-02 13:51:49 main:574] : INFO : Epoch 2034 | loss: 0.0309957 | val_loss: 0.0313105 | Time: 3603.61 ms [2022-04-02 13:51:53 main:574] : INFO : Epoch 2035 | loss: 0.0309969 | val_loss: 0.0312826 | Time: 3589.98 ms [2022-04-02 13:51:56 main:574] : INFO : Epoch 2036 | loss: 0.0310136 | val_loss: 0.0312652 | Time: 3602.37 ms [2022-04-02 13:52:00 main:574] : INFO : Epoch 2037 | loss: 0.0310131 | val_loss: 0.031257 | Time: 3615.03 ms [2022-04-02 13:52:04 main:574] : INFO : Epoch 2038 | loss: 0.0310048 | val_loss: 0.0312772 | Time: 3606 ms [2022-04-02 13:52:07 main:574] : INFO : Epoch 2039 | loss: 0.0310007 | val_loss: 0.0313103 | Time: 3520.97 ms [2022-04-02 13:52:11 main:574] : INFO : Epoch 2040 | loss: 0.0309971 | val_loss: 0.0312534 | Time: 3598.33 ms [2022-04-02 13:52:14 main:574] : INFO : Epoch 2041 | loss: 0.0310082 | val_loss: 0.0312959 | Time: 3604.95 ms [2022-04-02 13:52:18 main:574] : INFO : Epoch 2042 | loss: 0.0310045 | val_loss: 0.0312934 | Time: 3612.62 ms [2022-04-02 13:52:22 main:574] : INFO : Epoch 2043 | loss: 0.0309874 | val_loss: 0.0312888 | Time: 3615.01 ms [2022-04-02 13:52:25 main:574] : INFO : Epoch 2044 | loss: 0.0309912 | val_loss: 0.0312931 | Time: 3565.43 ms [2022-04-02 13:52:29 main:574] : INFO : Epoch 2045 | loss: 0.0309878 | val_loss: 0.0313037 | Time: 3587.85 ms [2022-04-02 13:52:32 main:574] : INFO : Epoch 2046 | loss: 0.0309915 | val_loss: 0.0312878 | Time: 3618.49 ms [2022-04-02 13:52:36 main:574] : INFO : Epoch 2047 | loss: 0.0309937 | val_loss: 0.0312947 | Time: 3593.09 ms [2022-04-02 13:52:40 main:574] : INFO : Epoch 2048 | loss: 0.030991 | val_loss: 0.0312715 | Time: 3595.25 ms [2022-04-02 13:52:40 main:597] : INFO : Saving trained model to model-final.pt, val_loss 0.0312715 [2022-04-02 13:52:40 main:603] : INFO : Saving end state to config to file [2022-04-02 13:52:40 main:608] : INFO : Success, exiting.. 13:52:40 (2180): 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)