Task 3050968
| Name | ParityModified-1606097356-5999-7_0 |
| Workunit | 1383687 |
| Created | 24 Nov 2020, 14:10:31 UTC |
| Sent | 24 Nov 2020, 14:23:19 UTC |
| Report deadline | 1 Dec 2020, 14:23:19 UTC |
| Received | 24 Nov 2020, 14:28:02 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 4754 |
| Run time | 4 min 12 sec |
| CPU time | 4 min 8 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 09:23:40 main:442] : INFO : Set logging level to 1 [2020-11-24 09:23:40 main:448] : INFO : Running in BOINC Client mode [2020-11-24 09:23:40 main:451] : INFO : Resolving all filenames [2020-11-24 09:23:40 main:459] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 (exists = 1) [2020-11-24 09:23:40 main:459] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1606097356-5999-7_0_r1244674780_1 (exists = 0) [2020-11-24 09:23:40 main:459] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1606097356-5999-7_0_r1244674780_0 (exists = 0) [2020-11-24 09:23:40 main:459] : INFO : Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1606097356-5999-7 (exists = 1) [2020-11-24 09:23:40 main:459] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-24 09:23:40 main:479] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 [2020-11-24 09:23:40 main:481] : INFO : Configuration: [2020-11-24 09:23:40 main:482] : INFO : Model type: GRU [2020-11-24 09:23:40 main:483] : INFO : Validation Loss Threshold: 0.0001 [2020-11-24 09:23:40 main:484] : INFO : Max Epochs: 128 [2020-11-24 09:23:40 main:485] : INFO : Batch Size: 128 [2020-11-24 09:23:40 main:486] : INFO : Learning Rate: 0.01 [2020-11-24 09:23:40 main:487] : INFO : Patience: 10 [2020-11-24 09:23:40 main:488] : INFO : Hidden Width: 12 [2020-11-24 09:23:40 main:489] : INFO : # Recurrent Layers: 4 [2020-11-24 09:23:40 main:490] : INFO : # Backend Layers: 4 [2020-11-24 09:23:40 main:491] : INFO : # Threads: 1 [2020-11-24 09:23:40 main:493] : INFO : Preparing Dataset [2020-11-24 09:23:40 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 09:23:40 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 09:23:42 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2020-11-24 09:23:42 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 09:23:42 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 09:23:43 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-24 09:23:43 main:501] : INFO : Creating Model [2020-11-24 09:23:43 main:514] : INFO : Preparing config file [2020-11-24 09:23:43 main:526] : INFO : Creating new config file [2020-11-24 09:23:43 main:545] : INFO : This is a continuation WU, loading previous network [2020-11-24 09:23:43 main:566] : INFO : Loading DataLoader into Memory [2020-11-24 09:23:43 main:569] : INFO : Starting Training [2020-11-24 09:23:46 main:581] : INFO : Epoch 1 | loss: 0.0312631 | val_loss: 0.0311952 | Time: 3240.41 ms [2020-11-24 09:23:48 main:581] : INFO : Epoch 2 | loss: 0.0311786 | val_loss: 0.0311877 | Time: 2036.79 ms [2020-11-24 09:23:50 main:581] : INFO : Epoch 3 | loss: 0.031168 | val_loss: 0.0311784 | Time: 2107.86 ms [2020-11-24 09:23:52 main:581] : INFO : Epoch 4 | loss: 0.0311607 | val_loss: 0.0311719 | Time: 1848.05 ms [2020-11-24 09:23:54 main:581] : INFO : Epoch 5 | loss: 0.0311586 | val_loss: 0.0311732 | Time: 2015.26 ms [2020-11-24 09:23:56 main:581] : INFO : Epoch 6 | loss: 0.0311582 | val_loss: 0.0311701 | Time: 2069.43 ms [2020-11-24 09:23:58 main:581] : INFO : Epoch 7 | loss: 0.0311543 | val_loss: 0.0311704 | Time: 1729.48 ms [2020-11-24 09:24:00 main:581] : INFO : Epoch 8 | loss: 0.031153 | val_loss: 0.0311704 | Time: 1900.73 ms [2020-11-24 09:24:02 main:581] : INFO : Epoch 9 | loss: 0.0311515 | val_loss: 0.0311729 | Time: 1697.75 ms [2020-11-24 09:24:04 main:581] : INFO : Epoch 10 | loss: 0.0311507 | val_loss: 0.0311723 | Time: 1966.02 ms [2020-11-24 09:24:06 main:581] : INFO : Epoch 11 | loss: 0.0311492 | val_loss: 0.0311731 | Time: 1899.52 ms [2020-11-24 09:24:07 main:581] : INFO : Epoch 12 | loss: 0.0311485 | val_loss: 0.0311731 | Time: 1796.77 ms [2020-11-24 09:24:09 main:581] : INFO : Epoch 13 | loss: 0.0311482 | val_loss: 0.0311762 | Time: 1685.51 ms [2020-11-24 09:24:11 main:581] : INFO : Epoch 14 | loss: 0.0311474 | val_loss: 0.0311725 | Time: 1969.13 ms [2020-11-24 09:24:13 main:581] : INFO : Epoch 15 | loss: 0.0311438 | val_loss: 0.0311731 | Time: 2006.97 ms [2020-11-24 09:24:15 main:581] : INFO : Epoch 16 | loss: 0.0311427 | val_loss: 0.0311736 | Time: 1938.93 ms [2020-11-24 09:24:17 main:581] : INFO : Epoch 17 | loss: 0.0311443 | val_loss: 0.031171 | Time: 1824.34 ms [2020-11-24 09:24:19 main:581] : INFO : Epoch 18 | loss: 0.0311394 | val_loss: 0.0311752 | Time: 1944.17 ms [2020-11-24 09:24:21 main:581] : INFO : Epoch 19 | loss: 0.0311394 | val_loss: 0.0311752 | Time: 1806.21 ms [2020-11-24 09:24:23 main:581] : INFO : Epoch 20 | loss: 0.0311367 | val_loss: 0.0311763 | Time: 1985.73 ms [2020-11-24 09:24:25 main:581] : INFO : Epoch 21 | loss: 0.0311351 | val_loss: 0.0311767 | Time: 2090.87 ms [2020-11-24 09:24:27 main:581] : INFO : Epoch 22 | loss: 0.0311324 | val_loss: 0.0311886 | Time: 2092.16 ms [2020-11-24 09:24:29 main:581] : INFO : Epoch 23 | loss: 0.0311345 | val_loss: 0.0311722 | Time: 2046.01 ms [2020-11-24 09:24:31 main:581] : INFO : Epoch 24 | loss: 0.0311325 | val_loss: 0.031178 | Time: 2099.84 ms [2020-11-24 09:24:33 main:581] : INFO : Epoch 25 | loss: 0.0311338 | val_loss: 0.0311762 | Time: 2101.56 ms [2020-11-24 09:24:35 main:581] : INFO : Epoch 26 | loss: 0.0311307 | val_loss: 0.0311815 | Time: 2151.36 ms [2020-11-24 09:24:37 main:581] : INFO : Epoch 27 | loss: 0.0311294 | val_loss: 0.0311729 | Time: 1892.64 ms [2020-11-24 09:24:39 main:581] : INFO : Epoch 28 | loss: 0.0311271 | val_loss: 0.0311797 | Time: 2031.06 ms [2020-11-24 09:24:41 main:581] : INFO : Epoch 29 | loss: 0.0311285 | val_loss: 0.0311741 | Time: 2044.95 ms [2020-11-24 09:24:43 main:581] : INFO : Epoch 30 | loss: 0.0311285 | val_loss: 0.0311796 | Time: 1988.05 ms [2020-11-24 09:24:45 main:581] : INFO : Epoch 31 | loss: 0.0311262 | val_loss: 0.0311815 | Time: 1769.27 ms [2020-11-24 09:24:47 main:581] : INFO : Epoch 32 | loss: 0.0311259 | val_loss: 0.031181 | Time: 1980.07 ms [2020-11-24 09:24:49 main:581] : INFO : Epoch 33 | loss: 0.0311253 | val_loss: 0.0311761 | Time: 2047.71 ms [2020-11-24 09:24:51 main:581] : INFO : Epoch 34 | loss: 0.0311268 | val_loss: 0.0311783 | Time: 2099.93 ms [2020-11-24 09:24:53 main:581] : INFO : Epoch 35 | loss: 0.0311377 | val_loss: 0.0311718 | Time: 1860.31 ms [2020-11-24 09:24:55 main:581] : INFO : Epoch 36 | loss: 0.031135 | val_loss: 0.0311781 | Time: 1973.47 ms [2020-11-24 09:24:57 main:581] : INFO : Epoch 37 | loss: 0.0311322 | val_loss: 0.0311775 | Time: 1880.74 ms [2020-11-24 09:24:59 main:581] : INFO : Epoch 38 | loss: 0.031126 | val_loss: 0.0311779 | Time: 1874.13 ms [2020-11-24 09:25:00 main:581] : INFO : Epoch 39 | loss: 0.0311256 | val_loss: 0.0311753 | Time: 1850.67 ms [2020-11-24 09:25:02 main:581] : INFO : Epoch 40 | loss: 0.0311208 | val_loss: 0.0311865 | Time: 1955.05 ms [2020-11-24 09:25:04 main:581] : INFO : Epoch 41 | loss: 0.0311212 | val_loss: 0.0311776 | Time: 2037.14 ms [2020-11-24 09:25:06 main:581] : INFO : Epoch 42 | loss: 0.0311223 | val_loss: 0.031187 | Time: 1653.07 ms [2020-11-24 09:25:08 main:581] : INFO : Epoch 43 | loss: 0.0311203 | val_loss: 0.0311806 | Time: 1839.61 ms [2020-11-24 09:25:10 main:581] : INFO : Epoch 44 | loss: 0.0311217 | val_loss: 0.0311861 | Time: 1913.82 ms [2020-11-24 09:25:12 main:581] : INFO : Epoch 45 | loss: 0.0311204 | val_loss: 0.0311836 | Time: 1742.29 ms [2020-11-24 09:25:13 main:581] : INFO : Epoch 46 | loss: 0.03112 | val_loss: 0.0311869 | Time: 1795.64 ms [2020-11-24 09:25:15 main:581] : INFO : Epoch 47 | loss: 0.0311176 | val_loss: 0.0311863 | Time: 1774.77 ms [2020-11-24 09:25:17 main:581] : INFO : Epoch 48 | loss: 0.0311182 | val_loss: 0.0311873 | Time: 1846.74 ms [2020-11-24 09:25:19 main:581] : INFO : Epoch 49 | loss: 0.0311182 | val_loss: 0.031183 | Time: 1941.76 ms [2020-11-24 09:25:21 main:581] : INFO : Epoch 50 | loss: 0.0311182 | val_loss: 0.0311848 | Time: 1768.03 ms [2020-11-24 09:25:22 main:581] : INFO : Epoch 51 | loss: 0.0311194 | val_loss: 0.0311884 | Time: 1787.84 ms [2020-11-24 09:25:24 main:581] : INFO : Epoch 52 | loss: 0.0311198 | val_loss: 0.0311887 | Time: 1963.42 ms [2020-11-24 09:25:26 main:581] : INFO : Epoch 53 | loss: 0.0311219 | val_loss: 0.0311827 | Time: 1792.47 ms [2020-11-24 09:25:28 main:581] : INFO : Epoch 54 | loss: 0.0311253 | val_loss: 0.0311941 | Time: 1786.5 ms [2020-11-24 09:25:30 main:581] : INFO : Epoch 55 | loss: 0.0311314 | val_loss: 0.0311792 | Time: 1872.01 ms [2020-11-24 09:25:32 main:581] : INFO : Epoch 56 | loss: 0.0311273 | val_loss: 0.031173 | Time: 1901.1 ms [2020-11-24 09:25:34 main:581] : INFO : Epoch 57 | loss: 0.0311219 | val_loss: 0.0311829 | Time: 1743.23 ms [2020-11-24 09:25:35 main:581] : INFO : Epoch 58 | loss: 0.0311249 | val_loss: 0.031178 | Time: 1637.4 ms [2020-11-24 09:25:37 main:581] : INFO : Epoch 59 | loss: 0.0311263 | val_loss: 0.0311795 | Time: 2005.38 ms [2020-11-24 09:25:39 main:581] : INFO : Epoch 60 | loss: 0.031119 | val_loss: 0.0311806 | Time: 1914.06 ms [2020-11-24 09:25:41 main:581] : INFO : Epoch 61 | loss: 0.0311121 | val_loss: 0.0311882 | Time: 1961.07 ms [2020-11-24 09:25:43 main:581] : INFO : Epoch 62 | loss: 0.0311105 | val_loss: 0.0311805 | Time: 1971.32 ms [2020-11-24 09:25:45 main:581] : INFO : Epoch 63 | loss: 0.0311172 | val_loss: 0.0311836 | Time: 1894.84 ms [2020-11-24 09:25:47 main:581] : INFO : Epoch 64 | loss: 0.031108 | val_loss: 0.0311872 | Time: 1968.74 ms [2020-11-24 09:25:49 main:581] : INFO : Epoch 65 | loss: 0.0311136 | val_loss: 0.0311884 | Time: 1940.72 ms [2020-11-24 09:25:51 main:581] : INFO : Epoch 66 | loss: 0.0311119 | val_loss: 0.0311893 | Time: 1873.49 ms [2020-11-24 09:25:53 main:581] : INFO : Epoch 67 | loss: 0.0311097 | val_loss: 0.0311833 | Time: 1925.88 ms [2020-11-24 09:25:55 main:581] : INFO : Epoch 68 | loss: 0.0311078 | val_loss: 0.031192 | Time: 2071.35 ms [2020-11-24 09:25:57 main:581] : INFO : Epoch 69 | loss: 0.0311069 | val_loss: 0.0311919 | Time: 2008.66 ms [2020-11-24 09:25:59 main:581] : INFO : Epoch 70 | loss: 0.0311038 | val_loss: 0.0311865 | Time: 1905.1 ms [2020-11-24 09:26:00 main:581] : INFO : Epoch 71 | loss: 0.0311157 | val_loss: 0.0311941 | Time: 1652.26 ms [2020-11-24 09:26:02 main:581] : INFO : Epoch 72 | loss: 0.0311157 | val_loss: 0.0311984 | Time: 2034.4 ms [2020-11-24 09:26:04 main:581] : INFO : Epoch 73 | loss: 0.0311136 | val_loss: 0.0311854 | Time: 2056.01 ms [2020-11-24 09:26:06 main:581] : INFO : Epoch 74 | loss: 0.0311106 | val_loss: 0.0311834 | Time: 2061.25 ms [2020-11-24 09:26:08 main:581] : INFO : Epoch 75 | loss: 0.0311119 | val_loss: 0.0311904 | Time: 2036.94 ms [2020-11-24 09:26:10 main:581] : INFO : Epoch 76 | loss: 0.0311043 | val_loss: 0.0311898 | Time: 2031.12 ms [2020-11-24 09:26:13 main:581] : INFO : Epoch 77 | loss: 0.0311114 | val_loss: 0.0311871 | Time: 2027.5 ms [2020-11-24 09:26:15 main:581] : INFO : Epoch 78 | loss: 0.031113 | val_loss: 0.0311964 | Time: 2003.04 ms [2020-11-24 09:26:16 main:581] : INFO : Epoch 79 | loss: 0.0311091 | val_loss: 0.0311886 | Time: 1848.31 ms [2020-11-24 09:26:18 main:581] : INFO : Epoch 80 | loss: 0.0311045 | val_loss: 0.0311893 | Time: 1743.44 ms [2020-11-24 09:26:20 main:581] : INFO : Epoch 81 | loss: 0.0311037 | val_loss: 0.0311968 | Time: 1960.15 ms [2020-11-24 09:26:22 main:581] : INFO : Epoch 82 | loss: 0.0311043 | val_loss: 0.03119 | Time: 1965.18 ms [2020-11-24 09:26:24 main:581] : INFO : Epoch 83 | loss: 0.0311003 | val_loss: 0.0311944 | Time: 1915.93 ms [2020-11-24 09:26:26 main:581] : INFO : Epoch 84 | loss: 0.0311027 | val_loss: 0.0311912 | Time: 1766.15 ms [2020-11-24 09:26:27 main:581] : INFO : Epoch 85 | loss: 0.0311046 | val_loss: 0.0312031 | Time: 1691.69 ms [2020-11-24 09:26:29 main:581] : INFO : Epoch 86 | loss: 0.0311025 | val_loss: 0.0312133 | Time: 1635.27 ms [2020-11-24 09:26:31 main:581] : INFO : Epoch 87 | loss: 0.0311033 | val_loss: 0.0312004 | Time: 1702.78 ms [2020-11-24 09:26:33 main:581] : INFO : Epoch 88 | loss: 0.0311038 | val_loss: 0.0312085 | Time: 1800.49 ms [2020-11-24 09:26:35 main:581] : INFO : Epoch 89 | loss: 0.031106 | val_loss: 0.0311996 | Time: 2034.18 ms [2020-11-24 09:26:37 main:581] : INFO : Epoch 90 | loss: 0.0311084 | val_loss: 0.0311859 | Time: 1984.64 ms [2020-11-24 09:26:39 main:581] : INFO : Epoch 91 | loss: 0.0311062 | val_loss: 0.031188 | Time: 2047.87 ms [2020-11-24 09:26:41 main:581] : INFO : Epoch 92 | loss: 0.0311087 | val_loss: 0.0311963 | Time: 1937.86 ms [2020-11-24 09:26:43 main:581] : INFO : Epoch 93 | loss: 0.0311071 | val_loss: 0.0311922 | Time: 2030.32 ms [2020-11-24 09:26:45 main:581] : INFO : Epoch 94 | loss: 0.0311004 | val_loss: 0.0311951 | Time: 1951.23 ms [2020-11-24 09:26:46 main:581] : INFO : Epoch 95 | loss: 0.0311003 | val_loss: 0.0311981 | Time: 1818.37 ms [2020-11-24 09:26:48 main:581] : INFO : Epoch 96 | loss: 0.0311003 | val_loss: 0.031201 | Time: 1971.61 ms [2020-11-24 09:26:50 main:581] : INFO : Epoch 97 | loss: 0.0311035 | val_loss: 0.0311954 | Time: 1928.66 ms [2020-11-24 09:26:52 main:581] : INFO : Epoch 98 | loss: 0.0311 | val_loss: 0.0311988 | Time: 1905.85 ms [2020-11-24 09:26:54 main:581] : INFO : Epoch 99 | loss: 0.031104 | val_loss: 0.0311949 | Time: 1832.44 ms [2020-11-24 09:26:56 main:581] : INFO : Epoch 100 | loss: 0.0310985 | val_loss: 0.0311942 | Time: 1919.01 ms [2020-11-24 09:26:58 main:581] : INFO : Epoch 101 | loss: 0.0311018 | val_loss: 0.0311908 | Time: 2007.98 ms [2020-11-24 09:27:00 main:581] : INFO : Epoch 102 | loss: 0.0310959 | val_loss: 0.0312129 | Time: 1848.93 ms [2020-11-24 09:27:02 main:581] : INFO : Epoch 103 | loss: 0.0310976 | val_loss: 0.0311956 | Time: 1966.5 ms [2020-11-24 09:27:04 main:581] : INFO : Epoch 104 | loss: 0.0311093 | val_loss: 0.0312074 | Time: 1857.14 ms [2020-11-24 09:27:06 main:581] : INFO : Epoch 105 | loss: 0.0311093 | val_loss: 0.031192 | Time: 1979.47 ms [2020-11-24 09:27:08 main:581] : INFO : Epoch 106 | loss: 0.031103 | val_loss: 0.0312049 | Time: 1943.73 ms [2020-11-24 09:27:09 main:581] : INFO : Epoch 107 | loss: 0.0311035 | val_loss: 0.0312044 | Time: 1934.3 ms [2020-11-24 09:27:11 main:581] : INFO : Epoch 108 | loss: 0.0311029 | val_loss: 0.0311985 | Time: 1797.65 ms [2020-11-24 09:27:13 main:581] : INFO : Epoch 109 | loss: 0.0311072 | val_loss: 0.0311929 | Time: 1808.46 ms [2020-11-24 09:27:15 main:581] : INFO : Epoch 110 | loss: 0.031103 | val_loss: 0.0311873 | Time: 1982 ms [2020-11-24 09:27:17 main:581] : INFO : Epoch 111 | loss: 0.031101 | val_loss: 0.0311998 | Time: 1937.02 ms [2020-11-24 09:27:19 main:581] : INFO : Epoch 112 | loss: 0.0310953 | val_loss: 0.0311952 | Time: 1864.52 ms [2020-11-24 09:27:21 main:581] : INFO : Epoch 113 | loss: 0.03111 | val_loss: 0.0311871 | Time: 1981.04 ms [2020-11-24 09:27:23 main:581] : INFO : Epoch 114 | loss: 0.0311607 | val_loss: 0.0311748 | Time: 2089.52 ms [2020-11-24 09:27:25 main:581] : INFO : Epoch 115 | loss: 0.0311524 | val_loss: 0.0311773 | Time: 2057.79 ms [2020-11-24 09:27:27 main:581] : INFO : Epoch 116 | loss: 0.0311513 | val_loss: 0.0311837 | Time: 2043.2 ms [2020-11-24 09:27:29 main:581] : INFO : Epoch 117 | loss: 0.0311434 | val_loss: 0.0311759 | Time: 1848.95 ms [2020-11-24 09:27:31 main:581] : INFO : Epoch 118 | loss: 0.0311382 | val_loss: 0.0311738 | Time: 1787.49 ms [2020-11-24 09:27:33 main:581] : INFO : Epoch 119 | loss: 0.0311325 | val_loss: 0.0311726 | Time: 1922.63 ms [2020-11-24 09:27:34 main:581] : INFO : Epoch 120 | loss: 0.0311295 | val_loss: 0.0311752 | Time: 1778.53 ms [2020-11-24 09:27:36 main:581] : INFO : Epoch 121 | loss: 0.0311252 | val_loss: 0.0311812 | Time: 1702.26 ms [2020-11-24 09:27:38 main:581] : INFO : Epoch 122 | loss: 0.0311259 | val_loss: 0.0311746 | Time: 1759.2 ms [2020-11-24 09:27:40 main:581] : INFO : Epoch 123 | loss: 0.0311172 | val_loss: 0.0311761 | Time: 2049.68 ms [2020-11-24 09:27:42 main:581] : INFO : Epoch 124 | loss: 0.0311189 | val_loss: 0.031176 | Time: 1981.07 ms [2020-11-24 09:27:44 main:581] : INFO : Epoch 125 | loss: 0.0311157 | val_loss: 0.0311794 | Time: 1748.55 ms [2020-11-24 09:27:45 main:581] : INFO : Epoch 126 | loss: 0.0311126 | val_loss: 0.0311774 | Time: 1876.48 ms [2020-11-24 09:27:47 main:581] : INFO : Epoch 127 | loss: 0.0311088 | val_loss: 0.0311844 | Time: 2002.25 ms [2020-11-24 09:27:49 main:581] : INFO : Epoch 128 | loss: 0.0311081 | val_loss: 0.0311881 | Time: 1971.14 ms [2020-11-24 09:27:49 main:604] : INFO : Saving trained model to model-final.pt, val_loss 0.0311881 [2020-11-24 09:27:49 main:610] : INFO : Saving end state to config to file [2020-11-24 09:27:49 main:615] : INFO : Success, exiting.. 09:27:49 (8153): 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)