Task 3050860
| Name | ParityModified-1606097356-5999-6_0 |
| Workunit | 1383603 |
| Created | 24 Nov 2020, 13:52:20 UTC |
| Sent | 24 Nov 2020, 14:05:39 UTC |
| Report deadline | 1 Dec 2020, 14:05:39 UTC |
| Received | 24 Nov 2020, 14:10:12 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 4754 |
| Run time | 4 min 8 sec |
| CPU time | 4 min 3 sec |
| Validate state | Valid |
| Credit | 780.00 |
| Device peak FLOPS | 3,339.24 GFLOPS |
| Application version | Machine Learning Dataset Generator (test) v9.80 (cuda10200) x86_64-pc-linux-gnu |
| Peak working set size | 2.33 GB |
| Peak swap size | 10.43 GB |
| Peak disk usage | 2.98 GB |
Stderr output
<core_client_version>7.14.2</core_client_version> <![CDATA[ <stderr_txt> DEBUG: Args: ../../projects/www.mlcathome.org_mlcathome/mlds-gpu_9.80_x86_64-pc-linux-gnu__cuda10200 -c --maxepoch 128 nthreads: 1 gpudev: 0 Re-exec()-ing to set environment correctly Machine Learning Dataset Generator v9.80 (Linux/x86_64) (libTorch: release/1.7 GPU: GeForce GTX 1650) [2020-11-24 09:05:56 main:442] : INFO : Set logging level to 1 [2020-11-24 09:05:56 main:448] : INFO : Running in BOINC Client mode [2020-11-24 09:05:56 main:451] : INFO : Resolving all filenames [2020-11-24 09:05:56 main:459] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 (exists = 1) [2020-11-24 09:05:56 main:459] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1606097356-5999-6_0_r1497246522_1 (exists = 0) [2020-11-24 09:05:56 main:459] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1606097356-5999-6_0_r1497246522_0 (exists = 0) [2020-11-24 09:05:56 main:459] : INFO : Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1606097356-5999-6 (exists = 1) [2020-11-24 09:05:56 main:459] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-24 09:05:56 main:479] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 [2020-11-24 09:05:56 main:481] : INFO : Configuration: [2020-11-24 09:05:56 main:482] : INFO : Model type: GRU [2020-11-24 09:05:56 main:483] : INFO : Validation Loss Threshold: 0.0001 [2020-11-24 09:05:56 main:484] : INFO : Max Epochs: 128 [2020-11-24 09:05:56 main:485] : INFO : Batch Size: 128 [2020-11-24 09:05:56 main:486] : INFO : Learning Rate: 0.01 [2020-11-24 09:05:56 main:487] : INFO : Patience: 10 [2020-11-24 09:05:56 main:488] : INFO : Hidden Width: 12 [2020-11-24 09:05:56 main:489] : INFO : # Recurrent Layers: 4 [2020-11-24 09:05:56 main:490] : INFO : # Backend Layers: 4 [2020-11-24 09:05:56 main:491] : INFO : # Threads: 1 [2020-11-24 09:05:56 main:493] : INFO : Preparing Dataset [2020-11-24 09:05:56 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2020-11-24 09:05:57 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2020-11-24 09:05:59 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2020-11-24 09:05:59 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2020-11-24 09:05:59 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2020-11-24 09:05:59 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-24 09:05:59 main:501] : INFO : Creating Model [2020-11-24 09:05:59 main:514] : INFO : Preparing config file [2020-11-24 09:05:59 main:526] : INFO : Creating new config file [2020-11-24 09:05:59 main:545] : INFO : This is a continuation WU, loading previous network [2020-11-24 09:06:00 main:566] : INFO : Loading DataLoader into Memory [2020-11-24 09:06:00 main:569] : INFO : Starting Training [2020-11-24 09:06:03 main:581] : INFO : Epoch 1 | loss: 0.0311386 | val_loss: 0.0312573 | Time: 2729.54 ms [2020-11-24 09:06:05 main:581] : INFO : Epoch 2 | loss: 0.0310229 | val_loss: 0.0312895 | Time: 1982 ms [2020-11-24 09:06:06 main:581] : INFO : Epoch 3 | loss: 0.0310015 | val_loss: 0.0312631 | Time: 1767.86 ms [2020-11-24 09:06:08 main:581] : INFO : Epoch 4 | loss: 0.0310023 | val_loss: 0.0312971 | Time: 1833.21 ms [2020-11-24 09:06:10 main:581] : INFO : Epoch 5 | loss: 0.0309977 | val_loss: 0.0312641 | Time: 1935.7 ms [2020-11-24 09:06:12 main:581] : INFO : Epoch 6 | loss: 0.0309913 | val_loss: 0.0312996 | Time: 1854.88 ms [2020-11-24 09:06:14 main:581] : INFO : Epoch 7 | loss: 0.030997 | val_loss: 0.0312768 | Time: 1984.22 ms [2020-11-24 09:06:16 main:581] : INFO : Epoch 8 | loss: 0.030994 | val_loss: 0.0313041 | Time: 1791.25 ms [2020-11-24 09:06:18 main:581] : INFO : Epoch 9 | loss: 0.0309998 | val_loss: 0.0312781 | Time: 1863.11 ms [2020-11-24 09:06:20 main:581] : INFO : Epoch 10 | loss: 0.0309961 | val_loss: 0.0312631 | Time: 1858.51 ms [2020-11-24 09:06:21 main:581] : INFO : Epoch 11 | loss: 0.0309918 | val_loss: 0.031286 | Time: 1835.39 ms [2020-11-24 09:06:23 main:581] : INFO : Epoch 12 | loss: 0.0310542 | val_loss: 0.03128 | Time: 2064.52 ms [2020-11-24 09:06:25 main:581] : INFO : Epoch 13 | loss: 0.0310198 | val_loss: 0.0312799 | Time: 1730.3 ms [2020-11-24 09:06:27 main:581] : INFO : Epoch 14 | loss: 0.0310048 | val_loss: 0.0313039 | Time: 1699.52 ms [2020-11-24 09:06:29 main:581] : INFO : Epoch 15 | loss: 0.0309959 | val_loss: 0.031284 | Time: 2038.66 ms [2020-11-24 09:06:31 main:581] : INFO : Epoch 16 | loss: 0.0309898 | val_loss: 0.0313033 | Time: 1717.79 ms [2020-11-24 09:06:32 main:581] : INFO : Epoch 17 | loss: 0.0310057 | val_loss: 0.0312776 | Time: 1740.1 ms [2020-11-24 09:06:34 main:581] : INFO : Epoch 18 | loss: 0.0309975 | val_loss: 0.0313221 | Time: 1759.8 ms [2020-11-24 09:06:36 main:581] : INFO : Epoch 19 | loss: 0.0309954 | val_loss: 0.0312705 | Time: 1759.73 ms [2020-11-24 09:06:38 main:581] : INFO : Epoch 20 | loss: 0.0309882 | val_loss: 0.0313103 | Time: 2081.46 ms [2020-11-24 09:06:40 main:581] : INFO : Epoch 21 | loss: 0.0309882 | val_loss: 0.0312901 | Time: 1993.47 ms [2020-11-24 09:06:42 main:581] : INFO : Epoch 22 | loss: 0.0309929 | val_loss: 0.031265 | Time: 2030.7 ms [2020-11-24 09:06:44 main:581] : INFO : Epoch 23 | loss: 0.0309961 | val_loss: 0.0312861 | Time: 2025.47 ms [2020-11-24 09:06:46 main:581] : INFO : Epoch 24 | loss: 0.0309864 | val_loss: 0.0312907 | Time: 2003.92 ms [2020-11-24 09:06:48 main:581] : INFO : Epoch 25 | loss: 0.0309963 | val_loss: 0.0312865 | Time: 1926.16 ms [2020-11-24 09:06:50 main:581] : INFO : Epoch 26 | loss: 0.0309987 | val_loss: 0.031327 | Time: 1823.65 ms [2020-11-24 09:06:52 main:581] : INFO : Epoch 27 | loss: 0.0309934 | val_loss: 0.0312922 | Time: 1829.26 ms [2020-11-24 09:06:54 main:581] : INFO : Epoch 28 | loss: 0.0309987 | val_loss: 0.0312833 | Time: 2112.68 ms [2020-11-24 09:06:56 main:581] : INFO : Epoch 29 | loss: 0.0310519 | val_loss: 0.0312139 | Time: 2033.71 ms [2020-11-24 09:06:58 main:581] : INFO : Epoch 30 | loss: 0.0311829 | val_loss: 0.0312169 | Time: 1950.12 ms [2020-11-24 09:07:00 main:581] : INFO : Epoch 31 | loss: 0.0312179 | val_loss: 0.0312092 | Time: 1953.71 ms [2020-11-24 09:07:02 main:581] : INFO : Epoch 32 | loss: 0.0312183 | val_loss: 0.0312163 | Time: 1840.66 ms [2020-11-24 09:07:03 main:581] : INFO : Epoch 33 | loss: 0.0312127 | val_loss: 0.0311976 | Time: 1799.6 ms [2020-11-24 09:07:05 main:581] : INFO : Epoch 34 | loss: 0.0312023 | val_loss: 0.0311926 | Time: 1815.04 ms [2020-11-24 09:07:07 main:581] : INFO : Epoch 35 | loss: 0.0311983 | val_loss: 0.0311952 | Time: 1776.95 ms [2020-11-24 09:07:09 main:581] : INFO : Epoch 36 | loss: 0.0311955 | val_loss: 0.031189 | Time: 1668.9 ms [2020-11-24 09:07:10 main:581] : INFO : Epoch 37 | loss: 0.0311917 | val_loss: 0.0311883 | Time: 1784.84 ms [2020-11-24 09:07:12 main:581] : INFO : Epoch 38 | loss: 0.0311941 | val_loss: 0.0311873 | Time: 1768.99 ms [2020-11-24 09:07:14 main:581] : INFO : Epoch 39 | loss: 0.03119 | val_loss: 0.0311882 | Time: 1869.42 ms [2020-11-24 09:07:16 main:581] : INFO : Epoch 40 | loss: 0.0311936 | val_loss: 0.0311855 | Time: 1757.07 ms [2020-11-24 09:07:18 main:581] : INFO : Epoch 41 | loss: 0.0311896 | val_loss: 0.0311982 | Time: 1936.32 ms [2020-11-24 09:07:20 main:581] : INFO : Epoch 42 | loss: 0.0311897 | val_loss: 0.0311832 | Time: 1961.3 ms [2020-11-24 09:07:21 main:581] : INFO : Epoch 43 | loss: 0.0311872 | val_loss: 0.0311836 | Time: 1706.68 ms [2020-11-24 09:07:23 main:581] : INFO : Epoch 44 | loss: 0.0311871 | val_loss: 0.0311821 | Time: 1945.37 ms [2020-11-24 09:07:25 main:581] : INFO : Epoch 45 | loss: 0.0311853 | val_loss: 0.0311851 | Time: 1939.74 ms [2020-11-24 09:07:27 main:581] : INFO : Epoch 46 | loss: 0.0311845 | val_loss: 0.0311827 | Time: 1891.78 ms [2020-11-24 09:07:29 main:581] : INFO : Epoch 47 | loss: 0.031184 | val_loss: 0.0311849 | Time: 1937.93 ms [2020-11-24 09:07:31 main:581] : INFO : Epoch 48 | loss: 0.0311851 | val_loss: 0.0311874 | Time: 1814.86 ms [2020-11-24 09:07:33 main:581] : INFO : Epoch 49 | loss: 0.0311839 | val_loss: 0.0311812 | Time: 1788.59 ms [2020-11-24 09:07:35 main:581] : INFO : Epoch 50 | loss: 0.0311825 | val_loss: 0.0311924 | Time: 1824.18 ms [2020-11-24 09:07:36 main:581] : INFO : Epoch 51 | loss: 0.0311821 | val_loss: 0.0311811 | Time: 1888.19 ms [2020-11-24 09:07:38 main:581] : INFO : Epoch 52 | loss: 0.03118 | val_loss: 0.0311836 | Time: 2037.36 ms [2020-11-24 09:07:40 main:581] : INFO : Epoch 53 | loss: 0.0311789 | val_loss: 0.0311819 | Time: 1810.29 ms [2020-11-24 09:07:42 main:581] : INFO : Epoch 54 | loss: 0.0311785 | val_loss: 0.0311799 | Time: 1634.37 ms [2020-11-24 09:07:44 main:581] : INFO : Epoch 55 | loss: 0.0311787 | val_loss: 0.0311806 | Time: 1875.06 ms [2020-11-24 09:07:45 main:581] : INFO : Epoch 56 | loss: 0.0311813 | val_loss: 0.0311803 | Time: 1721.31 ms [2020-11-24 09:07:47 main:581] : INFO : Epoch 57 | loss: 0.0311772 | val_loss: 0.0311811 | Time: 1795.03 ms [2020-11-24 09:07:49 main:581] : INFO : Epoch 58 | loss: 0.0311761 | val_loss: 0.0311809 | Time: 1828.04 ms [2020-11-24 09:07:51 main:581] : INFO : Epoch 59 | loss: 0.0311794 | val_loss: 0.0311812 | Time: 1688.58 ms [2020-11-24 09:07:53 main:581] : INFO : Epoch 60 | loss: 0.0311755 | val_loss: 0.0311812 | Time: 2057.35 ms [2020-11-24 09:07:55 main:581] : INFO : Epoch 61 | loss: 0.0311758 | val_loss: 0.0311815 | Time: 2060.81 ms [2020-11-24 09:07:57 main:581] : INFO : Epoch 62 | loss: 0.0311785 | val_loss: 0.0311902 | Time: 2023.89 ms [2020-11-24 09:07:59 main:581] : INFO : Epoch 63 | loss: 0.0311774 | val_loss: 0.0311852 | Time: 1931.28 ms [2020-11-24 09:08:01 main:581] : INFO : Epoch 64 | loss: 0.0311746 | val_loss: 0.0311842 | Time: 1771.69 ms [2020-11-24 09:08:02 main:581] : INFO : Epoch 65 | loss: 0.0311734 | val_loss: 0.0311801 | Time: 1637.09 ms [2020-11-24 09:08:04 main:581] : INFO : Epoch 66 | loss: 0.031173 | val_loss: 0.031184 | Time: 1784.38 ms [2020-11-24 09:08:06 main:581] : INFO : Epoch 67 | loss: 0.0311721 | val_loss: 0.0311808 | Time: 1818.2 ms [2020-11-24 09:08:08 main:581] : INFO : Epoch 68 | loss: 0.0311717 | val_loss: 0.0311887 | Time: 1801.43 ms [2020-11-24 09:08:10 main:581] : INFO : Epoch 69 | loss: 0.0311733 | val_loss: 0.0311821 | Time: 1914.56 ms [2020-11-24 09:08:11 main:581] : INFO : Epoch 70 | loss: 0.0311711 | val_loss: 0.0311844 | Time: 1905.82 ms [2020-11-24 09:08:13 main:581] : INFO : Epoch 71 | loss: 0.0311762 | val_loss: 0.031184 | Time: 1667.49 ms [2020-11-24 09:08:15 main:581] : INFO : Epoch 72 | loss: 0.0311713 | val_loss: 0.0311835 | Time: 2039.71 ms [2020-11-24 09:08:17 main:581] : INFO : Epoch 73 | loss: 0.0311708 | val_loss: 0.0311807 | Time: 1739.93 ms [2020-11-24 09:08:19 main:581] : INFO : Epoch 74 | loss: 0.031173 | val_loss: 0.0311824 | Time: 1859.81 ms [2020-11-24 09:08:21 main:581] : INFO : Epoch 75 | loss: 0.0311688 | val_loss: 0.031183 | Time: 2020.47 ms [2020-11-24 09:08:23 main:581] : INFO : Epoch 76 | loss: 0.0311687 | val_loss: 0.0311825 | Time: 2019.79 ms [2020-11-24 09:08:25 main:581] : INFO : Epoch 77 | loss: 0.031168 | val_loss: 0.0311838 | Time: 1924.74 ms [2020-11-24 09:08:27 main:581] : INFO : Epoch 78 | loss: 0.0311669 | val_loss: 0.0311832 | Time: 1890.8 ms [2020-11-24 09:08:28 main:581] : INFO : Epoch 79 | loss: 0.0311666 | val_loss: 0.0311853 | Time: 1754.59 ms [2020-11-24 09:08:30 main:581] : INFO : Epoch 80 | loss: 0.031166 | val_loss: 0.0311818 | Time: 1743.39 ms [2020-11-24 09:08:32 main:581] : INFO : Epoch 81 | loss: 0.031167 | val_loss: 0.0311812 | Time: 1887.27 ms [2020-11-24 09:08:34 main:581] : INFO : Epoch 82 | loss: 0.0311649 | val_loss: 0.0311812 | Time: 2079.65 ms [2020-11-24 09:08:36 main:581] : INFO : Epoch 83 | loss: 0.0311648 | val_loss: 0.0311843 | Time: 2085.24 ms [2020-11-24 09:08:38 main:581] : INFO : Epoch 84 | loss: 0.0311662 | val_loss: 0.0311828 | Time: 2081.83 ms [2020-11-24 09:08:40 main:581] : INFO : Epoch 85 | loss: 0.031166 | val_loss: 0.0311828 | Time: 2089.28 ms [2020-11-24 09:08:42 main:581] : INFO : Epoch 86 | loss: 0.0311672 | val_loss: 0.0311835 | Time: 1852.51 ms [2020-11-24 09:08:44 main:581] : INFO : Epoch 87 | loss: 0.0311649 | val_loss: 0.0311831 | Time: 1821.72 ms [2020-11-24 09:08:46 main:581] : INFO : Epoch 88 | loss: 0.0311627 | val_loss: 0.0311904 | Time: 1836.69 ms [2020-11-24 09:08:48 main:581] : INFO : Epoch 89 | loss: 0.0311681 | val_loss: 0.0311914 | Time: 1778.98 ms [2020-11-24 09:08:50 main:581] : INFO : Epoch 90 | loss: 0.0311635 | val_loss: 0.0311828 | Time: 1826.84 ms [2020-11-24 09:08:51 main:581] : INFO : Epoch 91 | loss: 0.0311609 | val_loss: 0.0311844 | Time: 1950.47 ms [2020-11-24 09:08:53 main:581] : INFO : Epoch 92 | loss: 0.0311611 | val_loss: 0.0311844 | Time: 1763.11 ms [2020-11-24 09:08:55 main:581] : INFO : Epoch 93 | loss: 0.0311688 | val_loss: 0.0311864 | Time: 1823.09 ms [2020-11-24 09:08:57 main:581] : INFO : Epoch 94 | loss: 0.0311631 | val_loss: 0.0311852 | Time: 1956.44 ms [2020-11-24 09:08:59 main:581] : INFO : Epoch 95 | loss: 0.0311608 | val_loss: 0.0311877 | Time: 1786.63 ms [2020-11-24 09:09:01 main:581] : INFO : Epoch 96 | loss: 0.0311606 | val_loss: 0.0311926 | Time: 2019.17 ms [2020-11-24 09:09:03 main:581] : INFO : Epoch 97 | loss: 0.0311603 | val_loss: 0.0311863 | Time: 2013.57 ms [2020-11-24 09:09:05 main:581] : INFO : Epoch 98 | loss: 0.0311607 | val_loss: 0.0311919 | Time: 1941.14 ms [2020-11-24 09:09:07 main:581] : INFO : Epoch 99 | loss: 0.0311589 | val_loss: 0.0311878 | Time: 2009.6 ms [2020-11-24 09:09:09 main:581] : INFO : Epoch 100 | loss: 0.0311581 | val_loss: 0.0311869 | Time: 2055.74 ms [2020-11-24 09:09:11 main:581] : INFO : Epoch 101 | loss: 0.0311584 | val_loss: 0.0311894 | Time: 2010.72 ms [2020-11-24 09:09:13 main:581] : INFO : Epoch 102 | loss: 0.0311573 | val_loss: 0.0311912 | Time: 1739.61 ms [2020-11-24 09:09:14 main:581] : INFO : Epoch 103 | loss: 0.0311566 | val_loss: 0.0311872 | Time: 1782.96 ms [2020-11-24 09:09:16 main:581] : INFO : Epoch 104 | loss: 0.0311571 | val_loss: 0.0311905 | Time: 1840.72 ms [2020-11-24 09:09:18 main:581] : INFO : Epoch 105 | loss: 0.0311577 | val_loss: 0.0311902 | Time: 1865.03 ms [2020-11-24 09:09:20 main:581] : INFO : Epoch 106 | loss: 0.0311557 | val_loss: 0.031193 | Time: 1978.27 ms [2020-11-24 09:09:22 main:581] : INFO : Epoch 107 | loss: 0.0311549 | val_loss: 0.0311918 | Time: 1721.53 ms [2020-11-24 09:09:24 main:581] : INFO : Epoch 108 | loss: 0.0311541 | val_loss: 0.0311897 | Time: 1869 ms [2020-11-24 09:09:26 main:581] : INFO : Epoch 109 | loss: 0.0311561 | val_loss: 0.0311933 | Time: 1958.81 ms [2020-11-24 09:09:27 main:581] : INFO : Epoch 110 | loss: 0.0311537 | val_loss: 0.0311944 | Time: 1647.83 ms [2020-11-24 09:09:29 main:581] : INFO : Epoch 111 | loss: 0.0311534 | val_loss: 0.0311966 | Time: 1825.35 ms [2020-11-24 09:09:31 main:581] : INFO : Epoch 112 | loss: 0.0311533 | val_loss: 0.0311957 | Time: 2019.48 ms [2020-11-24 09:09:33 main:581] : INFO : Epoch 113 | loss: 0.0311524 | val_loss: 0.0311915 | Time: 1882.3 ms [2020-11-24 09:09:35 main:581] : INFO : Epoch 114 | loss: 0.0311517 | val_loss: 0.0311984 | Time: 1934.42 ms [2020-11-24 09:09:37 main:581] : INFO : Epoch 115 | loss: 0.0311521 | val_loss: 0.0311943 | Time: 1933.95 ms [2020-11-24 09:09:39 main:581] : INFO : Epoch 116 | loss: 0.0311513 | val_loss: 0.031194 | Time: 1825.2 ms [2020-11-24 09:09:41 main:581] : INFO : Epoch 117 | loss: 0.031151 | val_loss: 0.0311976 | Time: 1962.19 ms [2020-11-24 09:09:42 main:581] : INFO : Epoch 118 | loss: 0.0311531 | val_loss: 0.0311991 | Time: 1846.49 ms [2020-11-24 09:09:44 main:581] : INFO : Epoch 119 | loss: 0.0311507 | val_loss: 0.0311985 | Time: 1810.96 ms [2020-11-24 09:09:46 main:581] : INFO : Epoch 120 | loss: 0.0311549 | val_loss: 0.0311933 | Time: 1844.56 ms [2020-11-24 09:09:48 main:581] : INFO : Epoch 121 | loss: 0.0311513 | val_loss: 0.0311955 | Time: 2008.53 ms [2020-11-24 09:09:50 main:581] : INFO : Epoch 122 | loss: 0.0311522 | val_loss: 0.0311939 | Time: 1663.39 ms [2020-11-24 09:09:52 main:581] : INFO : Epoch 123 | loss: 0.0311497 | val_loss: 0.0311917 | Time: 1782.92 ms [2020-11-24 09:09:54 main:581] : INFO : Epoch 124 | loss: 0.0311483 | val_loss: 0.0311925 | Time: 1936.77 ms [2020-11-24 09:09:56 main:581] : INFO : Epoch 125 | loss: 0.0311518 | val_loss: 0.0311999 | Time: 2026.39 ms [2020-11-24 09:09:58 main:581] : INFO : Epoch 126 | loss: 0.0311508 | val_loss: 0.0312075 | Time: 2073.65 ms [2020-11-24 09:10:00 main:581] : INFO : Epoch 127 | loss: 0.0311529 | val_loss: 0.0311984 | Time: 2016.48 ms [2020-11-24 09:10:01 main:581] : INFO : Epoch 128 | loss: 0.0311468 | val_loss: 0.0311969 | Time: 1754.96 ms [2020-11-24 09:10:01 main:604] : INFO : Saving trained model to model-final.pt, val_loss 0.0311969 [2020-11-24 09:10:01 main:610] : INFO : Saving end state to config to file [2020-11-24 09:10:01 main:615] : INFO : Success, exiting.. 09:10:01 (8119): 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)