Task 3053462
| Name | ParityModified-1606097356-5999-11_0 |
| Workunit | 1385518 |
| Created | 24 Nov 2020, 21:07:14 UTC |
| Sent | 24 Nov 2020, 21:20:13 UTC |
| Report deadline | 1 Dec 2020, 21:20:13 UTC |
| Received | 24 Nov 2020, 21:25:05 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 4754 |
| Run time | 4 min 21 sec |
| CPU time | 4 min 16 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 | 10.44 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 16:20:38 main:442] : INFO : Set logging level to 1 [2020-11-24 16:20:38 main:448] : INFO : Running in BOINC Client mode [2020-11-24 16:20:38 main:451] : INFO : Resolving all filenames [2020-11-24 16:20:38 main:459] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 (exists = 1) [2020-11-24 16:20:38 main:459] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1606097356-5999-11_0_r864513746_1 (exists = 0) [2020-11-24 16:20:38 main:459] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1606097356-5999-11_0_r864513746_0 (exists = 0) [2020-11-24 16:20:38 main:459] : INFO : Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1606097356-5999-11 (exists = 1) [2020-11-24 16:20:38 main:459] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-24 16:20:38 main:479] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 [2020-11-24 16:20:38 main:481] : INFO : Configuration: [2020-11-24 16:20:38 main:482] : INFO : Model type: GRU [2020-11-24 16:20:38 main:483] : INFO : Validation Loss Threshold: 0.0001 [2020-11-24 16:20:38 main:484] : INFO : Max Epochs: 128 [2020-11-24 16:20:38 main:485] : INFO : Batch Size: 128 [2020-11-24 16:20:38 main:486] : INFO : Learning Rate: 0.01 [2020-11-24 16:20:38 main:487] : INFO : Patience: 10 [2020-11-24 16:20:38 main:488] : INFO : Hidden Width: 12 [2020-11-24 16:20:38 main:489] : INFO : # Recurrent Layers: 4 [2020-11-24 16:20:38 main:490] : INFO : # Backend Layers: 4 [2020-11-24 16:20:38 main:491] : INFO : # Threads: 1 [2020-11-24 16:20:38 main:493] : INFO : Preparing Dataset [2020-11-24 16:20:38 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 16:20:38 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 16:20:41 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2020-11-24 16:20:41 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 16:20:41 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 16:20:41 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-24 16:20:41 main:501] : INFO : Creating Model [2020-11-24 16:20:41 main:514] : INFO : Preparing config file [2020-11-24 16:20:41 main:526] : INFO : Creating new config file [2020-11-24 16:20:41 main:545] : INFO : This is a continuation WU, loading previous network [2020-11-24 16:20:41 main:566] : INFO : Loading DataLoader into Memory [2020-11-24 16:20:41 main:569] : INFO : Starting Training [2020-11-24 16:20:45 main:581] : INFO : Epoch 1 | loss: 0.0311966 | val_loss: 0.0311746 | Time: 3811.24 ms [2020-11-24 16:20:47 main:581] : INFO : Epoch 2 | loss: 0.0311394 | val_loss: 0.0311658 | Time: 2035.02 ms [2020-11-24 16:20:49 main:581] : INFO : Epoch 3 | loss: 0.031133 | val_loss: 0.0311702 | Time: 1930.43 ms [2020-11-24 16:20:51 main:581] : INFO : Epoch 4 | loss: 0.0311253 | val_loss: 0.0311692 | Time: 1989.49 ms [2020-11-24 16:20:53 main:581] : INFO : Epoch 5 | loss: 0.0311247 | val_loss: 0.0311641 | Time: 1879.59 ms [2020-11-24 16:20:55 main:581] : INFO : Epoch 6 | loss: 0.0311251 | val_loss: 0.0311641 | Time: 1880.73 ms [2020-11-24 16:20:57 main:581] : INFO : Epoch 7 | loss: 0.031125 | val_loss: 0.0311735 | Time: 1894.15 ms [2020-11-24 16:20:59 main:581] : INFO : Epoch 8 | loss: 0.0311264 | val_loss: 0.0311727 | Time: 1860.59 ms [2020-11-24 16:21:01 main:581] : INFO : Epoch 9 | loss: 0.0311227 | val_loss: 0.0311679 | Time: 2062.22 ms [2020-11-24 16:21:03 main:581] : INFO : Epoch 10 | loss: 0.0311208 | val_loss: 0.0311726 | Time: 1956.32 ms [2020-11-24 16:21:05 main:581] : INFO : Epoch 11 | loss: 0.0311213 | val_loss: 0.0311691 | Time: 1926.55 ms [2020-11-24 16:21:07 main:581] : INFO : Epoch 12 | loss: 0.0311216 | val_loss: 0.0311755 | Time: 1915.52 ms [2020-11-24 16:21:09 main:581] : INFO : Epoch 13 | loss: 0.0311182 | val_loss: 0.0311784 | Time: 1895.36 ms [2020-11-24 16:21:11 main:581] : INFO : Epoch 14 | loss: 0.0311488 | val_loss: 0.0311651 | Time: 1992.32 ms [2020-11-24 16:21:12 main:581] : INFO : Epoch 15 | loss: 0.0311513 | val_loss: 0.0311622 | Time: 1866.77 ms [2020-11-24 16:21:14 main:581] : INFO : Epoch 16 | loss: 0.0311404 | val_loss: 0.0311567 | Time: 1977.51 ms [2020-11-24 16:21:16 main:581] : INFO : Epoch 17 | loss: 0.0311331 | val_loss: 0.0311597 | Time: 1905.42 ms [2020-11-24 16:21:18 main:581] : INFO : Epoch 18 | loss: 0.0311304 | val_loss: 0.0311589 | Time: 2063.84 ms [2020-11-24 16:21:20 main:581] : INFO : Epoch 19 | loss: 0.0311308 | val_loss: 0.0311667 | Time: 2103.61 ms [2020-11-24 16:21:22 main:581] : INFO : Epoch 20 | loss: 0.0311312 | val_loss: 0.0311647 | Time: 2024.08 ms [2020-11-24 16:21:25 main:581] : INFO : Epoch 21 | loss: 0.0311295 | val_loss: 0.0311709 | Time: 2048.91 ms [2020-11-24 16:21:27 main:581] : INFO : Epoch 22 | loss: 0.0311275 | val_loss: 0.0311664 | Time: 2003.51 ms [2020-11-24 16:21:29 main:581] : INFO : Epoch 23 | loss: 0.0311232 | val_loss: 0.0311679 | Time: 1993.99 ms [2020-11-24 16:21:31 main:581] : INFO : Epoch 24 | loss: 0.0311197 | val_loss: 0.0311653 | Time: 2035.94 ms [2020-11-24 16:21:33 main:581] : INFO : Epoch 25 | loss: 0.0311198 | val_loss: 0.0311633 | Time: 2105.99 ms [2020-11-24 16:21:35 main:581] : INFO : Epoch 26 | loss: 0.0311176 | val_loss: 0.0311697 | Time: 2054.35 ms [2020-11-24 16:21:37 main:581] : INFO : Epoch 27 | loss: 0.0311128 | val_loss: 0.0311669 | Time: 2072.22 ms [2020-11-24 16:21:39 main:581] : INFO : Epoch 28 | loss: 0.0311125 | val_loss: 0.0311685 | Time: 2009.96 ms [2020-11-24 16:21:41 main:581] : INFO : Epoch 29 | loss: 0.031111 | val_loss: 0.0311747 | Time: 2014.65 ms [2020-11-24 16:21:43 main:581] : INFO : Epoch 30 | loss: 0.0311118 | val_loss: 0.0311727 | Time: 2058.01 ms [2020-11-24 16:21:45 main:581] : INFO : Epoch 31 | loss: 0.0311112 | val_loss: 0.0311757 | Time: 1862.39 ms [2020-11-24 16:21:47 main:581] : INFO : Epoch 32 | loss: 0.0311087 | val_loss: 0.0311785 | Time: 2013.1 ms [2020-11-24 16:21:49 main:581] : INFO : Epoch 33 | loss: 0.0311103 | val_loss: 0.0311808 | Time: 2072.79 ms [2020-11-24 16:21:51 main:581] : INFO : Epoch 34 | loss: 0.0311106 | val_loss: 0.0311778 | Time: 2085.13 ms [2020-11-24 16:21:53 main:581] : INFO : Epoch 35 | loss: 0.0311113 | val_loss: 0.0311748 | Time: 1955.03 ms [2020-11-24 16:21:55 main:581] : INFO : Epoch 36 | loss: 0.0311112 | val_loss: 0.0311816 | Time: 2024.04 ms [2020-11-24 16:21:57 main:581] : INFO : Epoch 37 | loss: 0.0311074 | val_loss: 0.031176 | Time: 1967.82 ms [2020-11-24 16:21:59 main:581] : INFO : Epoch 38 | loss: 0.031108 | val_loss: 0.0311775 | Time: 1927.35 ms [2020-11-24 16:22:01 main:581] : INFO : Epoch 39 | loss: 0.031106 | val_loss: 0.0311835 | Time: 1966.87 ms [2020-11-24 16:22:03 main:581] : INFO : Epoch 40 | loss: 0.0311058 | val_loss: 0.0311769 | Time: 1946.9 ms [2020-11-24 16:22:05 main:581] : INFO : Epoch 41 | loss: 0.0311037 | val_loss: 0.0311854 | Time: 1930.04 ms [2020-11-24 16:22:07 main:581] : INFO : Epoch 42 | loss: 0.0311077 | val_loss: 0.0311786 | Time: 1945.06 ms [2020-11-24 16:22:09 main:581] : INFO : Epoch 43 | loss: 0.0311074 | val_loss: 0.0311826 | Time: 1957.25 ms [2020-11-24 16:22:11 main:581] : INFO : Epoch 44 | loss: 0.0311028 | val_loss: 0.0311807 | Time: 2045.94 ms [2020-11-24 16:22:12 main:581] : INFO : Epoch 45 | loss: 0.0311023 | val_loss: 0.0311779 | Time: 1908.92 ms [2020-11-24 16:22:14 main:581] : INFO : Epoch 46 | loss: 0.0311129 | val_loss: 0.0311702 | Time: 1954.01 ms [2020-11-24 16:22:16 main:581] : INFO : Epoch 47 | loss: 0.0311137 | val_loss: 0.0311775 | Time: 1990.35 ms [2020-11-24 16:22:19 main:581] : INFO : Epoch 48 | loss: 0.0311125 | val_loss: 0.0311877 | Time: 2095.33 ms [2020-11-24 16:22:20 main:581] : INFO : Epoch 49 | loss: 0.0311087 | val_loss: 0.031177 | Time: 1939.45 ms [2020-11-24 16:22:22 main:581] : INFO : Epoch 50 | loss: 0.0311043 | val_loss: 0.0311762 | Time: 1991.07 ms [2020-11-24 16:22:24 main:581] : INFO : Epoch 51 | loss: 0.0311096 | val_loss: 0.0311804 | Time: 1967.7 ms [2020-11-24 16:22:26 main:581] : INFO : Epoch 52 | loss: 0.0311102 | val_loss: 0.0311691 | Time: 2033.95 ms [2020-11-24 16:22:28 main:581] : INFO : Epoch 53 | loss: 0.0311113 | val_loss: 0.0311769 | Time: 1966.4 ms [2020-11-24 16:22:30 main:581] : INFO : Epoch 54 | loss: 0.0311063 | val_loss: 0.0311792 | Time: 2022.91 ms [2020-11-24 16:22:32 main:581] : INFO : Epoch 55 | loss: 0.0310999 | val_loss: 0.0311759 | Time: 1894.63 ms [2020-11-24 16:22:34 main:581] : INFO : Epoch 56 | loss: 0.031101 | val_loss: 0.0311783 | Time: 2068.94 ms [2020-11-24 16:22:36 main:581] : INFO : Epoch 57 | loss: 0.0311 | val_loss: 0.0311884 | Time: 1905.79 ms [2020-11-24 16:22:38 main:581] : INFO : Epoch 58 | loss: 0.0311001 | val_loss: 0.0311887 | Time: 1951.44 ms [2020-11-24 16:22:40 main:581] : INFO : Epoch 59 | loss: 0.0310973 | val_loss: 0.0311794 | Time: 1944.7 ms [2020-11-24 16:22:42 main:581] : INFO : Epoch 60 | loss: 0.0310973 | val_loss: 0.0311839 | Time: 1884.58 ms [2020-11-24 16:22:44 main:581] : INFO : Epoch 61 | loss: 0.031095 | val_loss: 0.0311888 | Time: 1873.58 ms [2020-11-24 16:22:46 main:581] : INFO : Epoch 62 | loss: 0.0310951 | val_loss: 0.0311917 | Time: 1951.83 ms [2020-11-24 16:22:48 main:581] : INFO : Epoch 63 | loss: 0.0310952 | val_loss: 0.0311878 | Time: 2028.8 ms [2020-11-24 16:22:50 main:581] : INFO : Epoch 64 | loss: 0.031097 | val_loss: 0.0311849 | Time: 2069.98 ms [2020-11-24 16:22:52 main:581] : INFO : Epoch 65 | loss: 0.0310957 | val_loss: 0.0311796 | Time: 2005.62 ms [2020-11-24 16:22:54 main:581] : INFO : Epoch 66 | loss: 0.0310979 | val_loss: 0.0311769 | Time: 1996.62 ms [2020-11-24 16:22:56 main:581] : INFO : Epoch 67 | loss: 0.0310981 | val_loss: 0.0311834 | Time: 1973.24 ms [2020-11-24 16:22:58 main:581] : INFO : Epoch 68 | loss: 0.0310953 | val_loss: 0.0311888 | Time: 1933.05 ms [2020-11-24 16:23:00 main:581] : INFO : Epoch 69 | loss: 0.0311009 | val_loss: 0.0311796 | Time: 1893.31 ms [2020-11-24 16:23:02 main:581] : INFO : Epoch 70 | loss: 0.0310964 | val_loss: 0.0311811 | Time: 1954.06 ms [2020-11-24 16:23:04 main:581] : INFO : Epoch 71 | loss: 0.0310947 | val_loss: 0.0311848 | Time: 1848.38 ms [2020-11-24 16:23:06 main:581] : INFO : Epoch 72 | loss: 0.0310947 | val_loss: 0.0311867 | Time: 1914 ms [2020-11-24 16:23:07 main:581] : INFO : Epoch 73 | loss: 0.0310918 | val_loss: 0.0311883 | Time: 1848.5 ms [2020-11-24 16:23:09 main:581] : INFO : Epoch 74 | loss: 0.0310903 | val_loss: 0.0311924 | Time: 1860.51 ms [2020-11-24 16:23:11 main:581] : INFO : Epoch 75 | loss: 0.0310947 | val_loss: 0.0311893 | Time: 1869.89 ms [2020-11-24 16:23:13 main:581] : INFO : Epoch 76 | loss: 0.031093 | val_loss: 0.031194 | Time: 1970.54 ms [2020-11-24 16:23:15 main:581] : INFO : Epoch 77 | loss: 0.0310888 | val_loss: 0.031191 | Time: 1900.75 ms [2020-11-24 16:23:17 main:581] : INFO : Epoch 78 | loss: 0.0310936 | val_loss: 0.0311824 | Time: 1996.68 ms [2020-11-24 16:23:19 main:581] : INFO : Epoch 79 | loss: 0.0310982 | val_loss: 0.0311943 | Time: 1998.82 ms [2020-11-24 16:23:21 main:581] : INFO : Epoch 80 | loss: 0.0310958 | val_loss: 0.0311829 | Time: 2015.57 ms [2020-11-24 16:23:23 main:581] : INFO : Epoch 81 | loss: 0.0310981 | val_loss: 0.0311893 | Time: 2045.4 ms [2020-11-24 16:23:25 main:581] : INFO : Epoch 82 | loss: 0.0311007 | val_loss: 0.0311895 | Time: 1989.48 ms [2020-11-24 16:23:27 main:581] : INFO : Epoch 83 | loss: 0.0310976 | val_loss: 0.0311882 | Time: 2036.44 ms [2020-11-24 16:23:29 main:581] : INFO : Epoch 84 | loss: 0.0310888 | val_loss: 0.0311901 | Time: 2009.67 ms [2020-11-24 16:23:31 main:581] : INFO : Epoch 85 | loss: 0.0310941 | val_loss: 0.0311954 | Time: 1875.29 ms [2020-11-24 16:23:33 main:581] : INFO : Epoch 86 | loss: 0.0310872 | val_loss: 0.0311915 | Time: 1991.72 ms [2020-11-24 16:23:35 main:581] : INFO : Epoch 87 | loss: 0.0310875 | val_loss: 0.0311965 | Time: 2012.95 ms [2020-11-24 16:23:37 main:581] : INFO : Epoch 88 | loss: 0.0310918 | val_loss: 0.031189 | Time: 1915.45 ms [2020-11-24 16:23:39 main:581] : INFO : Epoch 89 | loss: 0.031091 | val_loss: 0.0311881 | Time: 2033.64 ms [2020-11-24 16:23:41 main:581] : INFO : Epoch 90 | loss: 0.031086 | val_loss: 0.0311941 | Time: 2065.17 ms [2020-11-24 16:23:43 main:581] : INFO : Epoch 91 | loss: 0.0310848 | val_loss: 0.0311922 | Time: 2080.73 ms [2020-11-24 16:23:45 main:581] : INFO : Epoch 92 | loss: 0.031084 | val_loss: 0.0311839 | Time: 1959.1 ms [2020-11-24 16:23:47 main:581] : INFO : Epoch 93 | loss: 0.0310843 | val_loss: 0.0311943 | Time: 2063.42 ms [2020-11-24 16:23:49 main:581] : INFO : Epoch 94 | loss: 0.031082 | val_loss: 0.031198 | Time: 2011.57 ms [2020-11-24 16:23:51 main:581] : INFO : Epoch 95 | loss: 0.0310891 | val_loss: 0.0311869 | Time: 1970.95 ms [2020-11-24 16:23:53 main:581] : INFO : Epoch 96 | loss: 0.0310986 | val_loss: 0.0311825 | Time: 1933.41 ms [2020-11-24 16:23:55 main:581] : INFO : Epoch 97 | loss: 0.0310958 | val_loss: 0.0311822 | Time: 1908.26 ms [2020-11-24 16:23:57 main:581] : INFO : Epoch 98 | loss: 0.0310956 | val_loss: 0.0311855 | Time: 2089.38 ms [2020-11-24 16:23:59 main:581] : INFO : Epoch 99 | loss: 0.0310882 | val_loss: 0.0311879 | Time: 1983.86 ms [2020-11-24 16:24:01 main:581] : INFO : Epoch 100 | loss: 0.0310897 | val_loss: 0.0311857 | Time: 1949.78 ms [2020-11-24 16:24:03 main:581] : INFO : Epoch 101 | loss: 0.031099 | val_loss: 0.0311913 | Time: 1841.38 ms [2020-11-24 16:24:05 main:581] : INFO : Epoch 102 | loss: 0.0310919 | val_loss: 0.0311867 | Time: 1848.42 ms [2020-11-24 16:24:07 main:581] : INFO : Epoch 103 | loss: 0.0310896 | val_loss: 0.0311987 | Time: 1989.71 ms [2020-11-24 16:24:08 main:581] : INFO : Epoch 104 | loss: 0.0310937 | val_loss: 0.0311855 | Time: 1891.51 ms [2020-11-24 16:24:10 main:581] : INFO : Epoch 105 | loss: 0.0310976 | val_loss: 0.0311913 | Time: 1931 ms [2020-11-24 16:24:12 main:581] : INFO : Epoch 106 | loss: 0.0310969 | val_loss: 0.0311903 | Time: 1922.93 ms [2020-11-24 16:24:14 main:581] : INFO : Epoch 107 | loss: 0.0310918 | val_loss: 0.0311941 | Time: 1973.49 ms [2020-11-24 16:24:16 main:581] : INFO : Epoch 108 | loss: 0.0310898 | val_loss: 0.031198 | Time: 2031.52 ms [2020-11-24 16:24:18 main:581] : INFO : Epoch 109 | loss: 0.0310837 | val_loss: 0.0311947 | Time: 1855.2 ms [2020-11-24 16:24:20 main:581] : INFO : Epoch 110 | loss: 0.0310938 | val_loss: 0.0311904 | Time: 2008.48 ms [2020-11-24 16:24:22 main:581] : INFO : Epoch 111 | loss: 0.0310932 | val_loss: 0.0311922 | Time: 1872.54 ms [2020-11-24 16:24:24 main:581] : INFO : Epoch 112 | loss: 0.0310865 | val_loss: 0.0311834 | Time: 1940.35 ms [2020-11-24 16:24:26 main:581] : INFO : Epoch 113 | loss: 0.0310886 | val_loss: 0.0311904 | Time: 2045.17 ms [2020-11-24 16:24:28 main:581] : INFO : Epoch 114 | loss: 0.0310901 | val_loss: 0.031203 | Time: 1940.64 ms [2020-11-24 16:24:30 main:581] : INFO : Epoch 115 | loss: 0.0310904 | val_loss: 0.0311956 | Time: 2038.92 ms [2020-11-24 16:24:32 main:581] : INFO : Epoch 116 | loss: 0.0310832 | val_loss: 0.031193 | Time: 2029.12 ms [2020-11-24 16:24:34 main:581] : INFO : Epoch 117 | loss: 0.0310804 | val_loss: 0.0311948 | Time: 2032.78 ms [2020-11-24 16:24:36 main:581] : INFO : Epoch 118 | loss: 0.031079 | val_loss: 0.0311893 | Time: 1820.27 ms [2020-11-24 16:24:38 main:581] : INFO : Epoch 119 | loss: 0.0310779 | val_loss: 0.0311955 | Time: 2044.85 ms [2020-11-24 16:24:40 main:581] : INFO : Epoch 120 | loss: 0.031075 | val_loss: 0.0312041 | Time: 1950.75 ms [2020-11-24 16:24:42 main:581] : INFO : Epoch 121 | loss: 0.0310756 | val_loss: 0.0312024 | Time: 2120.19 ms [2020-11-24 16:24:44 main:581] : INFO : Epoch 122 | loss: 0.0310738 | val_loss: 0.0311924 | Time: 1951.37 ms [2020-11-24 16:24:46 main:581] : INFO : Epoch 123 | loss: 0.031077 | val_loss: 0.0311946 | Time: 2014.85 ms [2020-11-24 16:24:48 main:581] : INFO : Epoch 124 | loss: 0.0310779 | val_loss: 0.0311965 | Time: 2078.07 ms [2020-11-24 16:24:50 main:581] : INFO : Epoch 125 | loss: 0.0310794 | val_loss: 0.0311996 | Time: 1942.61 ms [2020-11-24 16:24:52 main:581] : INFO : Epoch 126 | loss: 0.0310776 | val_loss: 0.0312138 | Time: 1946.42 ms [2020-11-24 16:24:54 main:581] : INFO : Epoch 127 | loss: 0.0310757 | val_loss: 0.0311948 | Time: 1942.56 ms [2020-11-24 16:24:56 main:581] : INFO : Epoch 128 | loss: 0.0310747 | val_loss: 0.0312081 | Time: 1955.27 ms [2020-11-24 16:24:56 main:604] : INFO : Saving trained model to model-final.pt, val_loss 0.0312081 [2020-11-24 16:24:56 main:610] : INFO : Saving end state to config to file [2020-11-24 16:24:56 main:615] : INFO : Success, exiting.. 16:24:56 (9008): 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)