Task 3050764
| Name | ParityModified-1606097356-5999-5_0 |
| Workunit | 1383527 |
| Created | 24 Nov 2020, 13:34:13 UTC |
| Sent | 24 Nov 2020, 13:47:22 UTC |
| Report deadline | 1 Dec 2020, 13:47:22 UTC |
| Received | 24 Nov 2020, 13:52:11 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 4754 |
| Run time | 4 min 20 sec |
| CPU time | 4 min 12 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 | 2.32 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 08:47:43 main:442] : INFO : Set logging level to 1 [2020-11-24 08:47:43 main:448] : INFO : Running in BOINC Client mode [2020-11-24 08:47:43 main:451] : INFO : Resolving all filenames [2020-11-24 08:47:43 main:459] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 (exists = 1) [2020-11-24 08:47:43 main:459] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1606097356-5999-5_0_r1857376039_1 (exists = 0) [2020-11-24 08:47:43 main:459] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1606097356-5999-5_0_r1857376039_0 (exists = 0) [2020-11-24 08:47:43 main:459] : INFO : Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1606097356-5999-5 (exists = 1) [2020-11-24 08:47:43 main:459] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-24 08:47:43 main:479] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 [2020-11-24 08:47:43 main:481] : INFO : Configuration: [2020-11-24 08:47:43 main:482] : INFO : Model type: GRU [2020-11-24 08:47:43 main:483] : INFO : Validation Loss Threshold: 0.0001 [2020-11-24 08:47:43 main:484] : INFO : Max Epochs: 128 [2020-11-24 08:47:43 main:485] : INFO : Batch Size: 128 [2020-11-24 08:47:43 main:486] : INFO : Learning Rate: 0.01 [2020-11-24 08:47:43 main:487] : INFO : Patience: 10 [2020-11-24 08:47:43 main:488] : INFO : Hidden Width: 12 [2020-11-24 08:47:43 main:489] : INFO : # Recurrent Layers: 4 [2020-11-24 08:47:43 main:490] : INFO : # Backend Layers: 4 [2020-11-24 08:47:43 main:491] : INFO : # Threads: 1 [2020-11-24 08:47:43 main:493] : INFO : Preparing Dataset [2020-11-24 08:47:43 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 08:47:43 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 08:47:48 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2020-11-24 08:47:48 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 08:47:48 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 08:47:48 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-24 08:47:48 main:501] : INFO : Creating Model [2020-11-24 08:47:48 main:514] : INFO : Preparing config file [2020-11-24 08:47:48 main:526] : INFO : Creating new config file [2020-11-24 08:47:48 main:545] : INFO : This is a continuation WU, loading previous network [2020-11-24 08:47:49 main:566] : INFO : Loading DataLoader into Memory [2020-11-24 08:47:49 main:569] : INFO : Starting Training [2020-11-24 08:47:51 main:581] : INFO : Epoch 1 | loss: 0.0311683 | val_loss: 0.0312566 | Time: 2697.63 ms [2020-11-24 08:47:53 main:581] : INFO : Epoch 2 | loss: 0.0310466 | val_loss: 0.0312699 | Time: 2062.48 ms [2020-11-24 08:47:55 main:581] : INFO : Epoch 3 | loss: 0.0310192 | val_loss: 0.0312945 | Time: 1682.52 ms [2020-11-24 08:47:57 main:581] : INFO : Epoch 4 | loss: 0.0310143 | val_loss: 0.0312736 | Time: 1756.77 ms [2020-11-24 08:47:59 main:581] : INFO : Epoch 5 | loss: 0.0310122 | val_loss: 0.0312832 | Time: 1766.79 ms [2020-11-24 08:48:01 main:581] : INFO : Epoch 6 | loss: 0.0310062 | val_loss: 0.0312964 | Time: 1961.65 ms [2020-11-24 08:48:03 main:581] : INFO : Epoch 7 | loss: 0.031003 | val_loss: 0.0312882 | Time: 1953.69 ms [2020-11-24 08:48:05 main:581] : INFO : Epoch 8 | loss: 0.0310077 | val_loss: 0.0313078 | Time: 2043.55 ms [2020-11-24 08:48:07 main:581] : INFO : Epoch 9 | loss: 0.0310074 | val_loss: 0.0312683 | Time: 2012.61 ms [2020-11-24 08:48:08 main:581] : INFO : Epoch 10 | loss: 0.0310108 | val_loss: 0.03132 | Time: 1843.78 ms [2020-11-24 08:48:10 main:581] : INFO : Epoch 11 | loss: 0.0310008 | val_loss: 0.031274 | Time: 1837.98 ms [2020-11-24 08:48:12 main:581] : INFO : Epoch 12 | loss: 0.0310013 | val_loss: 0.0312468 | Time: 1725.79 ms [2020-11-24 08:48:14 main:581] : INFO : Epoch 13 | loss: 0.0310037 | val_loss: 0.0312827 | Time: 2027.23 ms [2020-11-24 08:48:16 main:581] : INFO : Epoch 14 | loss: 0.0310001 | val_loss: 0.0313207 | Time: 1989.2 ms [2020-11-24 08:48:18 main:581] : INFO : Epoch 15 | loss: 0.0310072 | val_loss: 0.0312942 | Time: 1814.06 ms [2020-11-24 08:48:20 main:581] : INFO : Epoch 16 | loss: 0.0309994 | val_loss: 0.0312987 | Time: 1763.25 ms [2020-11-24 08:48:22 main:581] : INFO : Epoch 17 | loss: 0.0309952 | val_loss: 0.0312833 | Time: 2029.05 ms [2020-11-24 08:48:24 main:581] : INFO : Epoch 18 | loss: 0.0310028 | val_loss: 0.0312744 | Time: 2051.84 ms [2020-11-24 08:48:26 main:581] : INFO : Epoch 19 | loss: 0.0309921 | val_loss: 0.031277 | Time: 2055.77 ms [2020-11-24 08:48:28 main:581] : INFO : Epoch 20 | loss: 0.0309921 | val_loss: 0.0313054 | Time: 2030.36 ms [2020-11-24 08:48:30 main:581] : INFO : Epoch 21 | loss: 0.0309972 | val_loss: 0.0312938 | Time: 1802.06 ms [2020-11-24 08:48:32 main:581] : INFO : Epoch 22 | loss: 0.0310184 | val_loss: 0.0312633 | Time: 1978.32 ms [2020-11-24 08:48:33 main:581] : INFO : Epoch 23 | loss: 0.0310093 | val_loss: 0.0312693 | Time: 1895.99 ms [2020-11-24 08:48:35 main:581] : INFO : Epoch 24 | loss: 0.0309943 | val_loss: 0.0313096 | Time: 1993.66 ms [2020-11-24 08:48:37 main:581] : INFO : Epoch 25 | loss: 0.0310024 | val_loss: 0.0313028 | Time: 2071.41 ms [2020-11-24 08:48:39 main:581] : INFO : Epoch 26 | loss: 0.0310009 | val_loss: 0.0312702 | Time: 1909.9 ms [2020-11-24 08:48:41 main:581] : INFO : Epoch 27 | loss: 0.0309971 | val_loss: 0.031294 | Time: 1997.59 ms [2020-11-24 08:48:43 main:581] : INFO : Epoch 28 | loss: 0.0310008 | val_loss: 0.0312801 | Time: 2072.17 ms [2020-11-24 08:48:45 main:581] : INFO : Epoch 29 | loss: 0.0310012 | val_loss: 0.0313044 | Time: 2013.22 ms [2020-11-24 08:48:48 main:581] : INFO : Epoch 30 | loss: 0.0310094 | val_loss: 0.0312987 | Time: 2014.95 ms [2020-11-24 08:48:49 main:581] : INFO : Epoch 31 | loss: 0.031 | val_loss: 0.0312823 | Time: 1988.33 ms [2020-11-24 08:48:51 main:581] : INFO : Epoch 32 | loss: 0.0310138 | val_loss: 0.0312826 | Time: 1728.71 ms [2020-11-24 08:48:53 main:581] : INFO : Epoch 33 | loss: 0.0310067 | val_loss: 0.0313055 | Time: 1775.3 ms [2020-11-24 08:48:55 main:581] : INFO : Epoch 34 | loss: 0.0310034 | val_loss: 0.0312592 | Time: 2035.98 ms [2020-11-24 08:48:57 main:581] : INFO : Epoch 35 | loss: 0.0310107 | val_loss: 0.0312386 | Time: 1824.59 ms [2020-11-24 08:48:59 main:581] : INFO : Epoch 36 | loss: 0.0310107 | val_loss: 0.0313253 | Time: 1914.05 ms [2020-11-24 08:49:01 main:581] : INFO : Epoch 37 | loss: 0.0309975 | val_loss: 0.0313199 | Time: 1995.13 ms [2020-11-24 08:49:03 main:581] : INFO : Epoch 38 | loss: 0.0310036 | val_loss: 0.0312856 | Time: 2078.03 ms [2020-11-24 08:49:05 main:581] : INFO : Epoch 39 | loss: 0.0309991 | val_loss: 0.0312778 | Time: 1967.93 ms [2020-11-24 08:49:07 main:581] : INFO : Epoch 40 | loss: 0.030998 | val_loss: 0.0312712 | Time: 2030.12 ms [2020-11-24 08:49:09 main:581] : INFO : Epoch 41 | loss: 0.0309977 | val_loss: 0.0312939 | Time: 2062.77 ms [2020-11-24 08:49:11 main:581] : INFO : Epoch 42 | loss: 0.0309923 | val_loss: 0.0312874 | Time: 2021.06 ms [2020-11-24 08:49:13 main:581] : INFO : Epoch 43 | loss: 0.0309961 | val_loss: 0.0313156 | Time: 1839.46 ms [2020-11-24 08:49:15 main:581] : INFO : Epoch 44 | loss: 0.0310018 | val_loss: 0.0312919 | Time: 2009.62 ms [2020-11-24 08:49:17 main:581] : INFO : Epoch 45 | loss: 0.0309929 | val_loss: 0.0312587 | Time: 2016.73 ms [2020-11-24 08:49:19 main:581] : INFO : Epoch 46 | loss: 0.030996 | val_loss: 0.0312723 | Time: 2092.32 ms [2020-11-24 08:49:21 main:581] : INFO : Epoch 47 | loss: 0.0310037 | val_loss: 0.0312793 | Time: 1971.57 ms [2020-11-24 08:49:23 main:581] : INFO : Epoch 48 | loss: 0.0309932 | val_loss: 0.0312928 | Time: 1975.29 ms [2020-11-24 08:49:25 main:581] : INFO : Epoch 49 | loss: 0.0309889 | val_loss: 0.0312754 | Time: 2105.78 ms [2020-11-24 08:49:27 main:581] : INFO : Epoch 50 | loss: 0.0309939 | val_loss: 0.0312685 | Time: 2095.5 ms [2020-11-24 08:49:29 main:581] : INFO : Epoch 51 | loss: 0.0310094 | val_loss: 0.0313027 | Time: 1867.43 ms [2020-11-24 08:49:31 main:581] : INFO : Epoch 52 | loss: 0.0310007 | val_loss: 0.0312729 | Time: 1746.04 ms [2020-11-24 08:49:32 main:581] : INFO : Epoch 53 | loss: 0.0309942 | val_loss: 0.0312678 | Time: 1841.49 ms [2020-11-24 08:49:34 main:581] : INFO : Epoch 54 | loss: 0.0309948 | val_loss: 0.0312939 | Time: 1998.03 ms [2020-11-24 08:49:37 main:581] : INFO : Epoch 55 | loss: 0.030999 | val_loss: 0.0313174 | Time: 2086.82 ms [2020-11-24 08:49:38 main:581] : INFO : Epoch 56 | loss: 0.0309974 | val_loss: 0.0312807 | Time: 1812.38 ms [2020-11-24 08:49:40 main:581] : INFO : Epoch 57 | loss: 0.0309917 | val_loss: 0.0312982 | Time: 1895.94 ms [2020-11-24 08:49:42 main:581] : INFO : Epoch 58 | loss: 0.0309891 | val_loss: 0.0313383 | Time: 1973.68 ms [2020-11-24 08:49:44 main:581] : INFO : Epoch 59 | loss: 0.0309899 | val_loss: 0.0312769 | Time: 2102.51 ms [2020-11-24 08:49:46 main:581] : INFO : Epoch 60 | loss: 0.0309992 | val_loss: 0.0312826 | Time: 2109.49 ms [2020-11-24 08:49:48 main:581] : INFO : Epoch 61 | loss: 0.0310043 | val_loss: 0.0312732 | Time: 2017.22 ms [2020-11-24 08:49:50 main:581] : INFO : Epoch 62 | loss: 0.031001 | val_loss: 0.0313017 | Time: 1983.19 ms [2020-11-24 08:49:53 main:581] : INFO : Epoch 63 | loss: 0.0309983 | val_loss: 0.0312697 | Time: 2022.09 ms [2020-11-24 08:49:55 main:581] : INFO : Epoch 64 | loss: 0.0310058 | val_loss: 0.031286 | Time: 2061.19 ms [2020-11-24 08:49:56 main:581] : INFO : Epoch 65 | loss: 0.0310092 | val_loss: 0.0312867 | Time: 1869.69 ms [2020-11-24 08:49:58 main:581] : INFO : Epoch 66 | loss: 0.0310052 | val_loss: 0.0312964 | Time: 2006.5 ms [2020-11-24 08:50:00 main:581] : INFO : Epoch 67 | loss: 0.0310107 | val_loss: 0.0312814 | Time: 1984.3 ms [2020-11-24 08:50:02 main:581] : INFO : Epoch 68 | loss: 0.0310046 | val_loss: 0.0312983 | Time: 1690.37 ms [2020-11-24 08:50:04 main:581] : INFO : Epoch 69 | loss: 0.0309924 | val_loss: 0.031308 | Time: 2064.78 ms [2020-11-24 08:50:06 main:581] : INFO : Epoch 70 | loss: 0.0309912 | val_loss: 0.0312906 | Time: 1959.46 ms [2020-11-24 08:50:08 main:581] : INFO : Epoch 71 | loss: 0.0309927 | val_loss: 0.0313382 | Time: 1957.2 ms [2020-11-24 08:50:10 main:581] : INFO : Epoch 72 | loss: 0.0309941 | val_loss: 0.0313195 | Time: 2048.29 ms [2020-11-24 08:50:12 main:581] : INFO : Epoch 73 | loss: 0.030992 | val_loss: 0.031273 | Time: 1959.29 ms [2020-11-24 08:50:14 main:581] : INFO : Epoch 74 | loss: 0.0309942 | val_loss: 0.0313102 | Time: 2074.13 ms [2020-11-24 08:50:16 main:581] : INFO : Epoch 75 | loss: 0.030993 | val_loss: 0.0313213 | Time: 2076.32 ms [2020-11-24 08:50:18 main:581] : INFO : Epoch 76 | loss: 0.0309906 | val_loss: 0.031273 | Time: 2115.47 ms [2020-11-24 08:50:20 main:581] : INFO : Epoch 77 | loss: 0.0309959 | val_loss: 0.0312641 | Time: 1845.56 ms [2020-11-24 08:50:22 main:581] : INFO : Epoch 78 | loss: 0.0309952 | val_loss: 0.0312931 | Time: 1974.61 ms [2020-11-24 08:50:24 main:581] : INFO : Epoch 79 | loss: 0.0309873 | val_loss: 0.0312752 | Time: 1985.18 ms [2020-11-24 08:50:26 main:581] : INFO : Epoch 80 | loss: 0.0309986 | val_loss: 0.0313024 | Time: 1822.45 ms [2020-11-24 08:50:28 main:581] : INFO : Epoch 81 | loss: 0.0309963 | val_loss: 0.0312905 | Time: 1823.35 ms [2020-11-24 08:50:30 main:581] : INFO : Epoch 82 | loss: 0.0309979 | val_loss: 0.0313018 | Time: 2075.91 ms [2020-11-24 08:50:32 main:581] : INFO : Epoch 83 | loss: 0.0309948 | val_loss: 0.0312879 | Time: 2004.47 ms [2020-11-24 08:50:34 main:581] : INFO : Epoch 84 | loss: 0.030998 | val_loss: 0.0312866 | Time: 2039.97 ms [2020-11-24 08:50:36 main:581] : INFO : Epoch 85 | loss: 0.031018 | val_loss: 0.0312879 | Time: 1905.47 ms [2020-11-24 08:50:38 main:581] : INFO : Epoch 86 | loss: 0.0310041 | val_loss: 0.0313291 | Time: 2040.07 ms [2020-11-24 08:50:40 main:581] : INFO : Epoch 87 | loss: 0.0310002 | val_loss: 0.0312865 | Time: 2077.99 ms [2020-11-24 08:50:42 main:581] : INFO : Epoch 88 | loss: 0.0309878 | val_loss: 0.0312919 | Time: 2000.58 ms [2020-11-24 08:50:44 main:581] : INFO : Epoch 89 | loss: 0.0309965 | val_loss: 0.0312794 | Time: 1954.08 ms [2020-11-24 08:50:46 main:581] : INFO : Epoch 90 | loss: 0.0309915 | val_loss: 0.0313133 | Time: 2045.62 ms [2020-11-24 08:50:48 main:581] : INFO : Epoch 91 | loss: 0.0309926 | val_loss: 0.0313124 | Time: 1975.19 ms [2020-11-24 08:50:50 main:581] : INFO : Epoch 92 | loss: 0.0309915 | val_loss: 0.0313107 | Time: 1995.36 ms [2020-11-24 08:50:52 main:581] : INFO : Epoch 93 | loss: 0.0309925 | val_loss: 0.0312939 | Time: 1710.3 ms [2020-11-24 08:50:53 main:581] : INFO : Epoch 94 | loss: 0.0309919 | val_loss: 0.0312783 | Time: 1660.17 ms [2020-11-24 08:50:55 main:581] : INFO : Epoch 95 | loss: 0.0309904 | val_loss: 0.0313078 | Time: 1767.05 ms [2020-11-24 08:50:57 main:581] : INFO : Epoch 96 | loss: 0.0309844 | val_loss: 0.0312968 | Time: 1904.06 ms [2020-11-24 08:50:59 main:581] : INFO : Epoch 97 | loss: 0.0309881 | val_loss: 0.0312866 | Time: 1761.88 ms [2020-11-24 08:51:00 main:581] : INFO : Epoch 98 | loss: 0.0309843 | val_loss: 0.0312748 | Time: 1754.18 ms [2020-11-24 08:51:02 main:581] : INFO : Epoch 99 | loss: 0.0309923 | val_loss: 0.0312997 | Time: 1852.74 ms [2020-11-24 08:51:04 main:581] : INFO : Epoch 100 | loss: 0.030997 | val_loss: 0.0312952 | Time: 2023.38 ms [2020-11-24 08:51:06 main:581] : INFO : Epoch 101 | loss: 0.0309985 | val_loss: 0.0312842 | Time: 1933.09 ms [2020-11-24 08:51:08 main:581] : INFO : Epoch 102 | loss: 0.0310064 | val_loss: 0.0313087 | Time: 1884.62 ms [2020-11-24 08:51:10 main:581] : INFO : Epoch 103 | loss: 0.0310078 | val_loss: 0.0312771 | Time: 1909.12 ms [2020-11-24 08:51:12 main:581] : INFO : Epoch 104 | loss: 0.0310306 | val_loss: 0.0312995 | Time: 2091.92 ms [2020-11-24 08:51:14 main:581] : INFO : Epoch 105 | loss: 0.0310099 | val_loss: 0.0312848 | Time: 2020.92 ms [2020-11-24 08:51:16 main:581] : INFO : Epoch 106 | loss: 0.0309971 | val_loss: 0.0312677 | Time: 1880.9 ms [2020-11-24 08:51:18 main:581] : INFO : Epoch 107 | loss: 0.0310004 | val_loss: 0.0312957 | Time: 1982.96 ms [2020-11-24 08:51:20 main:581] : INFO : Epoch 108 | loss: 0.030991 | val_loss: 0.0312606 | Time: 1837.94 ms [2020-11-24 08:51:22 main:581] : INFO : Epoch 109 | loss: 0.0309965 | val_loss: 0.0312963 | Time: 2033.99 ms [2020-11-24 08:51:24 main:581] : INFO : Epoch 110 | loss: 0.0309938 | val_loss: 0.0312793 | Time: 2012.41 ms [2020-11-24 08:51:26 main:581] : INFO : Epoch 111 | loss: 0.0309896 | val_loss: 0.031327 | Time: 2040.38 ms [2020-11-24 08:51:28 main:581] : INFO : Epoch 112 | loss: 0.0309937 | val_loss: 0.0312706 | Time: 1968.29 ms [2020-11-24 08:51:30 main:581] : INFO : Epoch 113 | loss: 0.0309949 | val_loss: 0.0312933 | Time: 2063.52 ms [2020-11-24 08:51:32 main:581] : INFO : Epoch 114 | loss: 0.0309898 | val_loss: 0.0313183 | Time: 2078.64 ms [2020-11-24 08:51:34 main:581] : INFO : Epoch 115 | loss: 0.0309869 | val_loss: 0.0312944 | Time: 2058.87 ms [2020-11-24 08:51:36 main:581] : INFO : Epoch 116 | loss: 0.0309901 | val_loss: 0.031274 | Time: 1941.01 ms [2020-11-24 08:51:38 main:581] : INFO : Epoch 117 | loss: 0.0309916 | val_loss: 0.0312868 | Time: 2001.62 ms [2020-11-24 08:51:40 main:581] : INFO : Epoch 118 | loss: 0.0310055 | val_loss: 0.0312816 | Time: 2025.29 ms [2020-11-24 08:51:42 main:581] : INFO : Epoch 119 | loss: 0.0310054 | val_loss: 0.0312978 | Time: 2002.03 ms [2020-11-24 08:51:44 main:581] : INFO : Epoch 120 | loss: 0.0309963 | val_loss: 0.031242 | Time: 1937.59 ms [2020-11-24 08:51:46 main:581] : INFO : Epoch 121 | loss: 0.0309942 | val_loss: 0.0312739 | Time: 1947.1 ms [2020-11-24 08:51:48 main:581] : INFO : Epoch 122 | loss: 0.0309936 | val_loss: 0.0313051 | Time: 1737.23 ms [2020-11-24 08:51:50 main:581] : INFO : Epoch 123 | loss: 0.0309916 | val_loss: 0.031268 | Time: 2048.1 ms [2020-11-24 08:51:52 main:581] : INFO : Epoch 124 | loss: 0.0309878 | val_loss: 0.0312987 | Time: 1831.03 ms [2020-11-24 08:51:54 main:581] : INFO : Epoch 125 | loss: 0.0309952 | val_loss: 0.0312851 | Time: 1994.79 ms [2020-11-24 08:51:56 main:581] : INFO : Epoch 126 | loss: 0.030991 | val_loss: 0.0313453 | Time: 1865.54 ms [2020-11-24 08:51:58 main:581] : INFO : Epoch 127 | loss: 0.0309974 | val_loss: 0.0312823 | Time: 2083.3 ms [2020-11-24 08:52:00 main:581] : INFO : Epoch 128 | loss: 0.0309925 | val_loss: 0.0313047 | Time: 2022.43 ms [2020-11-24 08:52:00 main:604] : INFO : Saving trained model to model-final.pt, val_loss 0.0313047 [2020-11-24 08:52:00 main:610] : INFO : Saving end state to config to file [2020-11-24 08:52:00 main:615] : INFO : Success, exiting.. 08:52:00 (8075): 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)