Task 3056738
| Name | ParityModified-1606097356-5999-17_0 |
| Workunit | 1388207 |
| Created | 25 Nov 2020, 6:21:08 UTC |
| Sent | 25 Nov 2020, 6:34:47 UTC |
| Report deadline | 2 Dec 2020, 6:34:47 UTC |
| Received | 25 Nov 2020, 6:39:36 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 4754 |
| Run time | 4 min 15 sec |
| CPU time | 4 min 10 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) [2020-11-25 01:35:10 main:442] : INFO : Set logging level to 1 [2020-11-25 01:35:10 main:448] : INFO : Running in BOINC Client mode [2020-11-25 01:35:10 main:451] : INFO : Resolving all filenames [2020-11-25 01:35:10 main:459] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 (exists = 1) [2020-11-25 01:35:10 main:459] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1606097356-5999-17_0_r38679152_1 (exists = 0) [2020-11-25 01:35:10 main:459] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1606097356-5999-17_0_r38679152_0 (exists = 0) [2020-11-25 01:35:10 main:459] : INFO : Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1606097356-5999-17 (exists = 1) [2020-11-25 01:35:10 main:459] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-25 01:35:10 main:479] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 [2020-11-25 01:35:10 main:481] : INFO : Configuration: [2020-11-25 01:35:10 main:482] : INFO : Model type: GRU [2020-11-25 01:35:10 main:483] : INFO : Validation Loss Threshold: 0.0001 [2020-11-25 01:35:10 main:484] : INFO : Max Epochs: 128 [2020-11-25 01:35:10 main:485] : INFO : Batch Size: 128 [2020-11-25 01:35:10 main:486] : INFO : Learning Rate: 0.01 [2020-11-25 01:35:10 main:487] : INFO : Patience: 10 [2020-11-25 01:35:10 main:488] : INFO : Hidden Width: 12 [2020-11-25 01:35:10 main:489] : INFO : # Recurrent Layers: 4 [2020-11-25 01:35:10 main:490] : INFO : # Backend Layers: 4 [2020-11-25 01:35:10 main:491] : INFO : # Threads: 1 [2020-11-25 01:35:10 main:493] : INFO : Preparing Dataset [2020-11-25 01:35:10 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2020-11-25 01:35:11 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2020-11-25 01:35:13 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2020-11-25 01:35:13 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2020-11-25 01:35:13 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2020-11-25 01:35:13 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-25 01:35:13 main:501] : INFO : Creating Model [2020-11-25 01:35:13 main:514] : INFO : Preparing config file [2020-11-25 01:35:13 main:526] : INFO : Creating new config file [2020-11-25 01:35:13 main:545] : INFO : This is a continuation WU, loading previous network [2020-11-25 01:35:14 main:566] : INFO : Loading DataLoader into Memory [2020-11-25 01:35:14 main:569] : INFO : Starting Training [2020-11-25 01:35:17 main:581] : INFO : Epoch 1 | loss: 0.0311172 | val_loss: 0.0311679 | Time: 2551.29 ms [2020-11-25 01:35:18 main:581] : INFO : Epoch 2 | loss: 0.0310905 | val_loss: 0.0311736 | Time: 1936.75 ms [2020-11-25 01:35:21 main:581] : INFO : Epoch 3 | loss: 0.0310838 | val_loss: 0.0311759 | Time: 2087.75 ms [2020-11-25 01:35:22 main:581] : INFO : Epoch 4 | loss: 0.0310867 | val_loss: 0.0311756 | Time: 1876.53 ms [2020-11-25 01:35:24 main:581] : INFO : Epoch 5 | loss: 0.0310869 | val_loss: 0.0311749 | Time: 1997.06 ms [2020-11-25 01:35:26 main:581] : INFO : Epoch 6 | loss: 0.0310856 | val_loss: 0.0311788 | Time: 2038.65 ms [2020-11-25 01:35:28 main:581] : INFO : Epoch 7 | loss: 0.0310884 | val_loss: 0.0311718 | Time: 2003.6 ms [2020-11-25 01:35:30 main:581] : INFO : Epoch 8 | loss: 0.031082 | val_loss: 0.0311752 | Time: 1967.26 ms [2020-11-25 01:35:32 main:581] : INFO : Epoch 9 | loss: 0.0310872 | val_loss: 0.0311766 | Time: 2036.74 ms [2020-11-25 01:35:34 main:581] : INFO : Epoch 10 | loss: 0.031088 | val_loss: 0.0311779 | Time: 1944.42 ms [2020-11-25 01:35:36 main:581] : INFO : Epoch 11 | loss: 0.0311018 | val_loss: 0.0311638 | Time: 1823.49 ms [2020-11-25 01:35:38 main:581] : INFO : Epoch 12 | loss: 0.031105 | val_loss: 0.0311713 | Time: 1926.39 ms [2020-11-25 01:35:40 main:581] : INFO : Epoch 13 | loss: 0.0310973 | val_loss: 0.0311705 | Time: 1731.19 ms [2020-11-25 01:35:42 main:581] : INFO : Epoch 14 | loss: 0.0310956 | val_loss: 0.0311712 | Time: 2068.85 ms [2020-11-25 01:35:44 main:581] : INFO : Epoch 15 | loss: 0.0310921 | val_loss: 0.0311695 | Time: 1785.42 ms [2020-11-25 01:35:45 main:581] : INFO : Epoch 16 | loss: 0.0310884 | val_loss: 0.0311662 | Time: 1756.51 ms [2020-11-25 01:35:47 main:581] : INFO : Epoch 17 | loss: 0.03109 | val_loss: 0.0311715 | Time: 1966.5 ms [2020-11-25 01:35:49 main:581] : INFO : Epoch 18 | loss: 0.0310943 | val_loss: 0.0311705 | Time: 1841.97 ms [2020-11-25 01:35:51 main:581] : INFO : Epoch 19 | loss: 0.0311057 | val_loss: 0.0311759 | Time: 1929.69 ms [2020-11-25 01:35:53 main:581] : INFO : Epoch 20 | loss: 0.0311062 | val_loss: 0.0311693 | Time: 1969.06 ms [2020-11-25 01:35:55 main:581] : INFO : Epoch 21 | loss: 0.0311038 | val_loss: 0.0311751 | Time: 1888.43 ms [2020-11-25 01:35:57 main:581] : INFO : Epoch 22 | loss: 0.0311002 | val_loss: 0.0311748 | Time: 1965.11 ms [2020-11-25 01:35:59 main:581] : INFO : Epoch 23 | loss: 0.0311059 | val_loss: 0.0311664 | Time: 2024.25 ms [2020-11-25 01:36:01 main:581] : INFO : Epoch 24 | loss: 0.0311055 | val_loss: 0.0311663 | Time: 2079.3 ms [2020-11-25 01:36:03 main:581] : INFO : Epoch 25 | loss: 0.0311005 | val_loss: 0.0311607 | Time: 2054.84 ms [2020-11-25 01:36:05 main:581] : INFO : Epoch 26 | loss: 0.0310982 | val_loss: 0.0311696 | Time: 1800.54 ms [2020-11-25 01:36:07 main:581] : INFO : Epoch 27 | loss: 0.031093 | val_loss: 0.0311649 | Time: 1976.31 ms [2020-11-25 01:36:09 main:581] : INFO : Epoch 28 | loss: 0.0310941 | val_loss: 0.031166 | Time: 1880.43 ms [2020-11-25 01:36:11 main:581] : INFO : Epoch 29 | loss: 0.0310956 | val_loss: 0.0311652 | Time: 1930.96 ms [2020-11-25 01:36:13 main:581] : INFO : Epoch 30 | loss: 0.031095 | val_loss: 0.031165 | Time: 1926.31 ms [2020-11-25 01:36:15 main:581] : INFO : Epoch 31 | loss: 0.0310951 | val_loss: 0.0311677 | Time: 1772.84 ms [2020-11-25 01:36:16 main:581] : INFO : Epoch 32 | loss: 0.0310956 | val_loss: 0.0311671 | Time: 1974.98 ms [2020-11-25 01:36:18 main:581] : INFO : Epoch 33 | loss: 0.0310921 | val_loss: 0.0311695 | Time: 2007.87 ms [2020-11-25 01:36:20 main:581] : INFO : Epoch 34 | loss: 0.0310906 | val_loss: 0.0311692 | Time: 1956.03 ms [2020-11-25 01:36:22 main:581] : INFO : Epoch 35 | loss: 0.0310861 | val_loss: 0.0311699 | Time: 2047.81 ms [2020-11-25 01:36:24 main:581] : INFO : Epoch 36 | loss: 0.031087 | val_loss: 0.0311671 | Time: 1969.87 ms [2020-11-25 01:36:27 main:581] : INFO : Epoch 37 | loss: 0.0310855 | val_loss: 0.0311676 | Time: 2068.85 ms [2020-11-25 01:36:28 main:581] : INFO : Epoch 38 | loss: 0.0310927 | val_loss: 0.0311648 | Time: 1878.34 ms [2020-11-25 01:36:30 main:581] : INFO : Epoch 39 | loss: 0.0310913 | val_loss: 0.0311675 | Time: 1883.26 ms [2020-11-25 01:36:32 main:581] : INFO : Epoch 40 | loss: 0.0310931 | val_loss: 0.0311682 | Time: 2110.17 ms [2020-11-25 01:36:35 main:581] : INFO : Epoch 41 | loss: 0.0310887 | val_loss: 0.0311665 | Time: 2095.87 ms [2020-11-25 01:36:36 main:581] : INFO : Epoch 42 | loss: 0.0310873 | val_loss: 0.0311696 | Time: 1908.52 ms [2020-11-25 01:36:38 main:581] : INFO : Epoch 43 | loss: 0.0310875 | val_loss: 0.0311742 | Time: 2046.09 ms [2020-11-25 01:36:40 main:581] : INFO : Epoch 44 | loss: 0.0310999 | val_loss: 0.0311669 | Time: 1977.67 ms [2020-11-25 01:36:42 main:581] : INFO : Epoch 45 | loss: 0.0311004 | val_loss: 0.0311626 | Time: 1764.9 ms [2020-11-25 01:36:44 main:581] : INFO : Epoch 46 | loss: 0.0311006 | val_loss: 0.0311621 | Time: 1621.89 ms [2020-11-25 01:36:46 main:581] : INFO : Epoch 47 | loss: 0.0310931 | val_loss: 0.031168 | Time: 1862.66 ms [2020-11-25 01:36:48 main:581] : INFO : Epoch 48 | loss: 0.0310888 | val_loss: 0.0311699 | Time: 1880.26 ms [2020-11-25 01:36:50 main:581] : INFO : Epoch 49 | loss: 0.0310887 | val_loss: 0.0311619 | Time: 1976.6 ms [2020-11-25 01:36:52 main:581] : INFO : Epoch 50 | loss: 0.0310985 | val_loss: 0.0311662 | Time: 2049.14 ms [2020-11-25 01:36:54 main:581] : INFO : Epoch 51 | loss: 0.0310921 | val_loss: 0.0311678 | Time: 2018.72 ms [2020-11-25 01:36:56 main:581] : INFO : Epoch 52 | loss: 0.0310913 | val_loss: 0.0311702 | Time: 1928.29 ms [2020-11-25 01:36:58 main:581] : INFO : Epoch 53 | loss: 0.0310881 | val_loss: 0.0311716 | Time: 2067.14 ms [2020-11-25 01:36:59 main:581] : INFO : Epoch 54 | loss: 0.0310825 | val_loss: 0.0311626 | Time: 1776.75 ms [2020-11-25 01:37:01 main:581] : INFO : Epoch 55 | loss: 0.0310823 | val_loss: 0.0311753 | Time: 1765.44 ms [2020-11-25 01:37:03 main:581] : INFO : Epoch 56 | loss: 0.0310801 | val_loss: 0.0311673 | Time: 1913.78 ms [2020-11-25 01:37:05 main:581] : INFO : Epoch 57 | loss: 0.0310793 | val_loss: 0.0311754 | Time: 1946.61 ms [2020-11-25 01:37:07 main:581] : INFO : Epoch 58 | loss: 0.0310804 | val_loss: 0.0311663 | Time: 2030.17 ms [2020-11-25 01:37:09 main:581] : INFO : Epoch 59 | loss: 0.0310797 | val_loss: 0.0311695 | Time: 2030.67 ms [2020-11-25 01:37:11 main:581] : INFO : Epoch 60 | loss: 0.0310818 | val_loss: 0.0311615 | Time: 2057.21 ms [2020-11-25 01:37:13 main:581] : INFO : Epoch 61 | loss: 0.0310781 | val_loss: 0.0311792 | Time: 2085.72 ms [2020-11-25 01:37:15 main:581] : INFO : Epoch 62 | loss: 0.0310824 | val_loss: 0.0311704 | Time: 1804.85 ms [2020-11-25 01:37:17 main:581] : INFO : Epoch 63 | loss: 0.0310824 | val_loss: 0.0311683 | Time: 1934.82 ms [2020-11-25 01:37:19 main:581] : INFO : Epoch 64 | loss: 0.031079 | val_loss: 0.0311673 | Time: 1942.13 ms [2020-11-25 01:37:21 main:581] : INFO : Epoch 65 | loss: 0.031076 | val_loss: 0.0311752 | Time: 1841.43 ms [2020-11-25 01:37:23 main:581] : INFO : Epoch 66 | loss: 0.0310785 | val_loss: 0.0311692 | Time: 2075.6 ms [2020-11-25 01:37:25 main:581] : INFO : Epoch 67 | loss: 0.0310781 | val_loss: 0.0311711 | Time: 1889.03 ms [2020-11-25 01:37:26 main:581] : INFO : Epoch 68 | loss: 0.0310771 | val_loss: 0.0311779 | Time: 1744.83 ms [2020-11-25 01:37:29 main:581] : INFO : Epoch 69 | loss: 0.0310778 | val_loss: 0.0311687 | Time: 2085.2 ms [2020-11-25 01:37:31 main:581] : INFO : Epoch 70 | loss: 0.0310776 | val_loss: 0.0311696 | Time: 1987.02 ms [2020-11-25 01:37:33 main:581] : INFO : Epoch 71 | loss: 0.0310824 | val_loss: 0.0311689 | Time: 1985.63 ms [2020-11-25 01:37:34 main:581] : INFO : Epoch 72 | loss: 0.0310799 | val_loss: 0.0311726 | Time: 1742.82 ms [2020-11-25 01:37:36 main:581] : INFO : Epoch 73 | loss: 0.0310772 | val_loss: 0.0311793 | Time: 1773.09 ms [2020-11-25 01:37:38 main:581] : INFO : Epoch 74 | loss: 0.0310793 | val_loss: 0.0311745 | Time: 2000.11 ms [2020-11-25 01:37:40 main:581] : INFO : Epoch 75 | loss: 0.0310816 | val_loss: 0.0311631 | Time: 1964.47 ms [2020-11-25 01:37:42 main:581] : INFO : Epoch 76 | loss: 0.0310771 | val_loss: 0.0311747 | Time: 2029.02 ms [2020-11-25 01:37:44 main:581] : INFO : Epoch 77 | loss: 0.0310779 | val_loss: 0.0311722 | Time: 2021.19 ms [2020-11-25 01:37:46 main:581] : INFO : Epoch 78 | loss: 0.0310844 | val_loss: 0.03116 | Time: 1660.17 ms [2020-11-25 01:37:48 main:581] : INFO : Epoch 79 | loss: 0.0310953 | val_loss: 0.0311678 | Time: 1967.55 ms [2020-11-25 01:37:49 main:581] : INFO : Epoch 80 | loss: 0.0310953 | val_loss: 0.031161 | Time: 1745.03 ms [2020-11-25 01:37:51 main:581] : INFO : Epoch 81 | loss: 0.0310905 | val_loss: 0.0311653 | Time: 1938.39 ms [2020-11-25 01:37:53 main:581] : INFO : Epoch 82 | loss: 0.0310816 | val_loss: 0.0311673 | Time: 1822.73 ms [2020-11-25 01:37:55 main:581] : INFO : Epoch 83 | loss: 0.0310798 | val_loss: 0.0311736 | Time: 2033.59 ms [2020-11-25 01:37:57 main:581] : INFO : Epoch 84 | loss: 0.0310789 | val_loss: 0.0311728 | Time: 1842.88 ms [2020-11-25 01:37:59 main:581] : INFO : Epoch 85 | loss: 0.0310772 | val_loss: 0.0311688 | Time: 1968.52 ms [2020-11-25 01:38:01 main:581] : INFO : Epoch 86 | loss: 0.0310775 | val_loss: 0.0311737 | Time: 1897.95 ms [2020-11-25 01:38:03 main:581] : INFO : Epoch 87 | loss: 0.0310754 | val_loss: 0.0311757 | Time: 1873.75 ms [2020-11-25 01:38:05 main:581] : INFO : Epoch 88 | loss: 0.0310858 | val_loss: 0.0311685 | Time: 2012.81 ms [2020-11-25 01:38:07 main:581] : INFO : Epoch 89 | loss: 0.0310912 | val_loss: 0.0311842 | Time: 2041.4 ms [2020-11-25 01:38:09 main:581] : INFO : Epoch 90 | loss: 0.0310852 | val_loss: 0.0311747 | Time: 1985.67 ms [2020-11-25 01:38:11 main:581] : INFO : Epoch 91 | loss: 0.0310858 | val_loss: 0.0311826 | Time: 2026.82 ms [2020-11-25 01:38:13 main:581] : INFO : Epoch 92 | loss: 0.0310867 | val_loss: 0.0311722 | Time: 2010.83 ms [2020-11-25 01:38:15 main:581] : INFO : Epoch 93 | loss: 0.0311271 | val_loss: 0.0311605 | Time: 1851.77 ms [2020-11-25 01:38:17 main:581] : INFO : Epoch 94 | loss: 0.0311218 | val_loss: 0.0311575 | Time: 2028.46 ms [2020-11-25 01:38:19 main:581] : INFO : Epoch 95 | loss: 0.0311162 | val_loss: 0.0311562 | Time: 2044.78 ms [2020-11-25 01:38:21 main:581] : INFO : Epoch 96 | loss: 0.0311112 | val_loss: 0.0311603 | Time: 1863 ms [2020-11-25 01:38:22 main:581] : INFO : Epoch 97 | loss: 0.0311056 | val_loss: 0.0311564 | Time: 1734.77 ms [2020-11-25 01:38:24 main:581] : INFO : Epoch 98 | loss: 0.0311035 | val_loss: 0.031162 | Time: 1927.91 ms [2020-11-25 01:38:26 main:581] : INFO : Epoch 99 | loss: 0.0311007 | val_loss: 0.0311612 | Time: 1938.03 ms [2020-11-25 01:38:28 main:581] : INFO : Epoch 100 | loss: 0.0310955 | val_loss: 0.0311636 | Time: 1802.57 ms [2020-11-25 01:38:30 main:581] : INFO : Epoch 101 | loss: 0.0310942 | val_loss: 0.0311556 | Time: 1753.77 ms [2020-11-25 01:38:32 main:581] : INFO : Epoch 102 | loss: 0.031092 | val_loss: 0.0311618 | Time: 1917.97 ms [2020-11-25 01:38:34 main:581] : INFO : Epoch 103 | loss: 0.0310853 | val_loss: 0.0311629 | Time: 2028.48 ms [2020-11-25 01:38:36 main:581] : INFO : Epoch 104 | loss: 0.0310857 | val_loss: 0.0311601 | Time: 2081.75 ms [2020-11-25 01:38:38 main:581] : INFO : Epoch 105 | loss: 0.031085 | val_loss: 0.0311623 | Time: 1974.26 ms [2020-11-25 01:38:40 main:581] : INFO : Epoch 106 | loss: 0.0310844 | val_loss: 0.0311596 | Time: 2054 ms [2020-11-25 01:38:42 main:581] : INFO : Epoch 107 | loss: 0.0310843 | val_loss: 0.0311617 | Time: 2041.11 ms [2020-11-25 01:38:44 main:581] : INFO : Epoch 108 | loss: 0.0310798 | val_loss: 0.0311765 | Time: 1912.42 ms [2020-11-25 01:38:46 main:581] : INFO : Epoch 109 | loss: 0.0310821 | val_loss: 0.0311598 | Time: 2050.63 ms [2020-11-25 01:38:48 main:581] : INFO : Epoch 110 | loss: 0.0310861 | val_loss: 0.0311683 | Time: 1643.11 ms [2020-11-25 01:38:50 main:581] : INFO : Epoch 111 | loss: 0.0310822 | val_loss: 0.0311674 | Time: 1985.77 ms [2020-11-25 01:38:51 main:581] : INFO : Epoch 112 | loss: 0.0310789 | val_loss: 0.0311726 | Time: 1974.27 ms [2020-11-25 01:38:53 main:581] : INFO : Epoch 113 | loss: 0.0310772 | val_loss: 0.0311664 | Time: 1815.29 ms [2020-11-25 01:38:55 main:581] : INFO : Epoch 114 | loss: 0.0310812 | val_loss: 0.0311686 | Time: 1901.83 ms [2020-11-25 01:38:57 main:581] : INFO : Epoch 115 | loss: 0.0310788 | val_loss: 0.0311669 | Time: 1904.92 ms [2020-11-25 01:38:59 main:581] : INFO : Epoch 116 | loss: 0.0310839 | val_loss: 0.0311686 | Time: 2048.65 ms [2020-11-25 01:39:01 main:581] : INFO : Epoch 117 | loss: 0.0310824 | val_loss: 0.0311665 | Time: 2005.25 ms [2020-11-25 01:39:03 main:581] : INFO : Epoch 118 | loss: 0.0310918 | val_loss: 0.0311709 | Time: 1907.84 ms [2020-11-25 01:39:05 main:581] : INFO : Epoch 119 | loss: 0.0311064 | val_loss: 0.0311678 | Time: 1859.47 ms [2020-11-25 01:39:07 main:581] : INFO : Epoch 120 | loss: 0.0311107 | val_loss: 0.0311634 | Time: 1844.76 ms [2020-11-25 01:39:09 main:581] : INFO : Epoch 121 | loss: 0.0311069 | val_loss: 0.0311587 | Time: 1821.51 ms [2020-11-25 01:39:11 main:581] : INFO : Epoch 122 | loss: 0.0311007 | val_loss: 0.031166 | Time: 2025.98 ms [2020-11-25 01:39:13 main:581] : INFO : Epoch 123 | loss: 0.0310923 | val_loss: 0.0311669 | Time: 1984.39 ms [2020-11-25 01:39:15 main:581] : INFO : Epoch 124 | loss: 0.0310887 | val_loss: 0.0311629 | Time: 1983.1 ms [2020-11-25 01:39:17 main:581] : INFO : Epoch 125 | loss: 0.0310877 | val_loss: 0.0311657 | Time: 2003.18 ms [2020-11-25 01:39:19 main:581] : INFO : Epoch 126 | loss: 0.0310866 | val_loss: 0.0311763 | Time: 1909.21 ms [2020-11-25 01:39:21 main:581] : INFO : Epoch 127 | loss: 0.0310877 | val_loss: 0.0311669 | Time: 2004.43 ms [2020-11-25 01:39:23 main:581] : INFO : Epoch 128 | loss: 0.0310901 | val_loss: 0.031174 | Time: 2001.63 ms [2020-11-25 01:39:23 main:604] : INFO : Saving trained model to model-final.pt, val_loss 0.031174 [2020-11-25 01:39:23 main:610] : INFO : Saving end state to config to file [2020-11-25 01:39:23 main:615] : INFO : Success, exiting.. 01:39:23 (10137): 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)