Task 3056968
| Name | ParityModified-1606097356-5999-19_0 |
| Workunit | 1388427 |
| Created | 25 Nov 2020, 6:58:16 UTC |
| Sent | 25 Nov 2020, 7:11:19 UTC |
| Report deadline | 2 Dec 2020, 7:11:19 UTC |
| Received | 25 Nov 2020, 7:16:02 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 4754 |
| Run time | 4 min 18 sec |
| CPU time | 4 min 14 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 02:11:37 main:442] : INFO : Set logging level to 1 [2020-11-25 02:11:37 main:448] : INFO : Running in BOINC Client mode [2020-11-25 02:11:37 main:451] : INFO : Resolving all filenames [2020-11-25 02:11:37 main:459] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 (exists = 1) [2020-11-25 02:11:37 main:459] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1606097356-5999-19_0_r1998054098_1 (exists = 0) [2020-11-25 02:11:37 main:459] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1606097356-5999-19_0_r1998054098_0 (exists = 0) [2020-11-25 02:11:37 main:459] : INFO : Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1606097356-5999-19 (exists = 1) [2020-11-25 02:11:37 main:459] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-25 02:11:37 main:479] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 [2020-11-25 02:11:37 main:481] : INFO : Configuration: [2020-11-25 02:11:37 main:482] : INFO : Model type: GRU [2020-11-25 02:11:37 main:483] : INFO : Validation Loss Threshold: 0.0001 [2020-11-25 02:11:37 main:484] : INFO : Max Epochs: 128 [2020-11-25 02:11:37 main:485] : INFO : Batch Size: 128 [2020-11-25 02:11:37 main:486] : INFO : Learning Rate: 0.01 [2020-11-25 02:11:37 main:487] : INFO : Patience: 10 [2020-11-25 02:11:37 main:488] : INFO : Hidden Width: 12 [2020-11-25 02:11:37 main:489] : INFO : # Recurrent Layers: 4 [2020-11-25 02:11:37 main:490] : INFO : # Backend Layers: 4 [2020-11-25 02:11:37 main:491] : INFO : # Threads: 1 [2020-11-25 02:11:37 main:493] : INFO : Preparing Dataset [2020-11-25 02:11:37 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 02:11:38 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2020-11-25 02:11:40 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2020-11-25 02:11:40 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 02:11:40 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 02:11:40 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-25 02:11:40 main:501] : INFO : Creating Model [2020-11-25 02:11:40 main:514] : INFO : Preparing config file [2020-11-25 02:11:40 main:526] : INFO : Creating new config file [2020-11-25 02:11:40 main:545] : INFO : This is a continuation WU, loading previous network [2020-11-25 02:11:41 main:566] : INFO : Loading DataLoader into Memory [2020-11-25 02:11:41 main:569] : INFO : Starting Training [2020-11-25 02:11:44 main:581] : INFO : Epoch 1 | loss: 0.0312066 | val_loss: 0.0311865 | Time: 3100.72 ms [2020-11-25 02:11:46 main:581] : INFO : Epoch 2 | loss: 0.0311042 | val_loss: 0.0311755 | Time: 1900.15 ms [2020-11-25 02:11:48 main:581] : INFO : Epoch 3 | loss: 0.0310912 | val_loss: 0.0311697 | Time: 2065.84 ms [2020-11-25 02:11:50 main:581] : INFO : Epoch 4 | loss: 0.0310904 | val_loss: 0.0311731 | Time: 1890.46 ms [2020-11-25 02:11:52 main:581] : INFO : Epoch 5 | loss: 0.0310866 | val_loss: 0.0311676 | Time: 1819.42 ms [2020-11-25 02:11:54 main:581] : INFO : Epoch 6 | loss: 0.031082 | val_loss: 0.0311658 | Time: 1936.03 ms [2020-11-25 02:11:55 main:581] : INFO : Epoch 7 | loss: 0.0310857 | val_loss: 0.0311635 | Time: 1793.89 ms [2020-11-25 02:11:57 main:581] : INFO : Epoch 8 | loss: 0.0310894 | val_loss: 0.0311668 | Time: 1934.16 ms [2020-11-25 02:11:59 main:581] : INFO : Epoch 9 | loss: 0.0310859 | val_loss: 0.0311703 | Time: 2053.9 ms [2020-11-25 02:12:01 main:581] : INFO : Epoch 10 | loss: 0.0310883 | val_loss: 0.031169 | Time: 2039.46 ms [2020-11-25 02:12:03 main:581] : INFO : Epoch 11 | loss: 0.0310888 | val_loss: 0.0311678 | Time: 1905.19 ms [2020-11-25 02:12:05 main:581] : INFO : Epoch 12 | loss: 0.0310846 | val_loss: 0.0311639 | Time: 2002.32 ms [2020-11-25 02:12:07 main:581] : INFO : Epoch 13 | loss: 0.0310843 | val_loss: 0.0311719 | Time: 1812.2 ms [2020-11-25 02:12:09 main:581] : INFO : Epoch 14 | loss: 0.0310798 | val_loss: 0.0311678 | Time: 1847.34 ms [2020-11-25 02:12:11 main:581] : INFO : Epoch 15 | loss: 0.031079 | val_loss: 0.0311675 | Time: 1865.83 ms [2020-11-25 02:12:13 main:581] : INFO : Epoch 16 | loss: 0.031077 | val_loss: 0.0311775 | Time: 1977.63 ms [2020-11-25 02:12:15 main:581] : INFO : Epoch 17 | loss: 0.0310819 | val_loss: 0.0311667 | Time: 1889.23 ms [2020-11-25 02:12:17 main:581] : INFO : Epoch 18 | loss: 0.0310799 | val_loss: 0.0311697 | Time: 1950.16 ms [2020-11-25 02:12:18 main:581] : INFO : Epoch 19 | loss: 0.031079 | val_loss: 0.0311641 | Time: 1800.41 ms [2020-11-25 02:12:21 main:581] : INFO : Epoch 20 | loss: 0.0310809 | val_loss: 0.0311649 | Time: 2059.38 ms [2020-11-25 02:12:23 main:581] : INFO : Epoch 21 | loss: 0.0310778 | val_loss: 0.0311701 | Time: 2024.64 ms [2020-11-25 02:12:24 main:581] : INFO : Epoch 22 | loss: 0.0310757 | val_loss: 0.031176 | Time: 1929 ms [2020-11-25 02:12:27 main:581] : INFO : Epoch 23 | loss: 0.0310736 | val_loss: 0.0311698 | Time: 2028.16 ms [2020-11-25 02:12:28 main:581] : INFO : Epoch 24 | loss: 0.0310741 | val_loss: 0.0311658 | Time: 1954.29 ms [2020-11-25 02:12:30 main:581] : INFO : Epoch 25 | loss: 0.0310744 | val_loss: 0.0311671 | Time: 1986.09 ms [2020-11-25 02:12:33 main:581] : INFO : Epoch 26 | loss: 0.0310722 | val_loss: 0.0311804 | Time: 2131.68 ms [2020-11-25 02:12:35 main:581] : INFO : Epoch 27 | loss: 0.031074 | val_loss: 0.0311728 | Time: 2032.03 ms [2020-11-25 02:12:37 main:581] : INFO : Epoch 28 | loss: 0.0310722 | val_loss: 0.0311687 | Time: 2060.4 ms [2020-11-25 02:12:39 main:581] : INFO : Epoch 29 | loss: 0.0310721 | val_loss: 0.0311757 | Time: 2089.12 ms [2020-11-25 02:12:41 main:581] : INFO : Epoch 30 | loss: 0.0310706 | val_loss: 0.0311713 | Time: 1781.42 ms [2020-11-25 02:12:42 main:581] : INFO : Epoch 31 | loss: 0.0310771 | val_loss: 0.0311724 | Time: 1872.57 ms [2020-11-25 02:12:44 main:581] : INFO : Epoch 32 | loss: 0.031071 | val_loss: 0.0311766 | Time: 2015.84 ms [2020-11-25 02:12:46 main:581] : INFO : Epoch 33 | loss: 0.0310915 | val_loss: 0.0311702 | Time: 2004.41 ms [2020-11-25 02:12:48 main:581] : INFO : Epoch 34 | loss: 0.0310915 | val_loss: 0.0311646 | Time: 1996.14 ms [2020-11-25 02:12:51 main:581] : INFO : Epoch 35 | loss: 0.0310836 | val_loss: 0.0311703 | Time: 2106.73 ms [2020-11-25 02:12:52 main:581] : INFO : Epoch 36 | loss: 0.0310939 | val_loss: 0.0311644 | Time: 1951.48 ms [2020-11-25 02:12:54 main:581] : INFO : Epoch 37 | loss: 0.0311301 | val_loss: 0.0311668 | Time: 1992.3 ms [2020-11-25 02:12:56 main:581] : INFO : Epoch 38 | loss: 0.0311281 | val_loss: 0.0311567 | Time: 1797 ms [2020-11-25 02:12:58 main:581] : INFO : Epoch 39 | loss: 0.0311222 | val_loss: 0.0311569 | Time: 2008.48 ms [2020-11-25 02:13:00 main:581] : INFO : Epoch 40 | loss: 0.0311167 | val_loss: 0.0311615 | Time: 1920.05 ms [2020-11-25 02:13:02 main:581] : INFO : Epoch 41 | loss: 0.0311104 | val_loss: 0.0311631 | Time: 1758.04 ms [2020-11-25 02:13:04 main:581] : INFO : Epoch 42 | loss: 0.0311077 | val_loss: 0.0311626 | Time: 2045.43 ms [2020-11-25 02:13:06 main:581] : INFO : Epoch 43 | loss: 0.0311077 | val_loss: 0.0311607 | Time: 2086.05 ms [2020-11-25 02:13:08 main:581] : INFO : Epoch 44 | loss: 0.0311046 | val_loss: 0.0311668 | Time: 2004.79 ms [2020-11-25 02:13:10 main:581] : INFO : Epoch 45 | loss: 0.0310997 | val_loss: 0.0311704 | Time: 1986.46 ms [2020-11-25 02:13:12 main:581] : INFO : Epoch 46 | loss: 0.0310989 | val_loss: 0.0311629 | Time: 2025.96 ms [2020-11-25 02:13:14 main:581] : INFO : Epoch 47 | loss: 0.0311018 | val_loss: 0.0311603 | Time: 1998.06 ms [2020-11-25 02:13:16 main:581] : INFO : Epoch 48 | loss: 0.0311042 | val_loss: 0.0311705 | Time: 1717.94 ms [2020-11-25 02:13:18 main:581] : INFO : Epoch 49 | loss: 0.0311043 | val_loss: 0.0311615 | Time: 1709.73 ms [2020-11-25 02:13:19 main:581] : INFO : Epoch 50 | loss: 0.0311153 | val_loss: 0.0311581 | Time: 1917.75 ms [2020-11-25 02:13:22 main:581] : INFO : Epoch 51 | loss: 0.0311071 | val_loss: 0.0311534 | Time: 2049.05 ms [2020-11-25 02:13:23 main:581] : INFO : Epoch 52 | loss: 0.0311027 | val_loss: 0.0311591 | Time: 1945.6 ms [2020-11-25 02:13:25 main:581] : INFO : Epoch 53 | loss: 0.0310996 | val_loss: 0.0311587 | Time: 1845.77 ms [2020-11-25 02:13:27 main:581] : INFO : Epoch 54 | loss: 0.0310973 | val_loss: 0.0311653 | Time: 1737.41 ms [2020-11-25 02:13:29 main:581] : INFO : Epoch 55 | loss: 0.0310978 | val_loss: 0.0311603 | Time: 1875.63 ms [2020-11-25 02:13:31 main:581] : INFO : Epoch 56 | loss: 0.0310977 | val_loss: 0.031171 | Time: 2034.12 ms [2020-11-25 02:13:33 main:581] : INFO : Epoch 57 | loss: 0.0310937 | val_loss: 0.031168 | Time: 2004.95 ms [2020-11-25 02:13:35 main:581] : INFO : Epoch 58 | loss: 0.0310901 | val_loss: 0.0311758 | Time: 1903.63 ms [2020-11-25 02:13:37 main:581] : INFO : Epoch 59 | loss: 0.0310878 | val_loss: 0.0311682 | Time: 1782.73 ms [2020-11-25 02:13:39 main:581] : INFO : Epoch 60 | loss: 0.0310867 | val_loss: 0.0311632 | Time: 1939.94 ms [2020-11-25 02:13:40 main:581] : INFO : Epoch 61 | loss: 0.0310871 | val_loss: 0.0311764 | Time: 1752.39 ms [2020-11-25 02:13:42 main:581] : INFO : Epoch 62 | loss: 0.0310915 | val_loss: 0.0311815 | Time: 1966.65 ms [2020-11-25 02:13:44 main:581] : INFO : Epoch 63 | loss: 0.0310955 | val_loss: 0.0311666 | Time: 2058.78 ms [2020-11-25 02:13:46 main:581] : INFO : Epoch 64 | loss: 0.0310917 | val_loss: 0.0311745 | Time: 1822.73 ms [2020-11-25 02:13:48 main:581] : INFO : Epoch 65 | loss: 0.031087 | val_loss: 0.0311683 | Time: 1994.96 ms [2020-11-25 02:13:50 main:581] : INFO : Epoch 66 | loss: 0.0310845 | val_loss: 0.0311724 | Time: 1942.7 ms [2020-11-25 02:13:52 main:581] : INFO : Epoch 67 | loss: 0.031093 | val_loss: 0.031168 | Time: 2044.22 ms [2020-11-25 02:13:54 main:581] : INFO : Epoch 68 | loss: 0.0310969 | val_loss: 0.0311761 | Time: 1936.84 ms [2020-11-25 02:13:56 main:581] : INFO : Epoch 69 | loss: 0.0310997 | val_loss: 0.0311623 | Time: 1983.94 ms [2020-11-25 02:13:58 main:581] : INFO : Epoch 70 | loss: 0.0310986 | val_loss: 0.0311774 | Time: 1950.81 ms [2020-11-25 02:14:00 main:581] : INFO : Epoch 71 | loss: 0.0310933 | val_loss: 0.0311625 | Time: 2037.55 ms [2020-11-25 02:14:02 main:581] : INFO : Epoch 72 | loss: 0.0310884 | val_loss: 0.0311722 | Time: 2004.56 ms [2020-11-25 02:14:04 main:581] : INFO : Epoch 73 | loss: 0.0310827 | val_loss: 0.0311704 | Time: 2012.13 ms [2020-11-25 02:14:06 main:581] : INFO : Epoch 74 | loss: 0.0310913 | val_loss: 0.0311726 | Time: 2019.42 ms [2020-11-25 02:14:08 main:581] : INFO : Epoch 75 | loss: 0.0310917 | val_loss: 0.0311706 | Time: 1966.57 ms [2020-11-25 02:14:10 main:581] : INFO : Epoch 76 | loss: 0.0310841 | val_loss: 0.0311755 | Time: 2000.38 ms [2020-11-25 02:14:12 main:581] : INFO : Epoch 77 | loss: 0.0310826 | val_loss: 0.0311772 | Time: 1936.62 ms [2020-11-25 02:14:14 main:581] : INFO : Epoch 78 | loss: 0.0310823 | val_loss: 0.0311798 | Time: 1740.39 ms [2020-11-25 02:14:16 main:581] : INFO : Epoch 79 | loss: 0.0310802 | val_loss: 0.0311759 | Time: 1890.34 ms [2020-11-25 02:14:18 main:581] : INFO : Epoch 80 | loss: 0.0310802 | val_loss: 0.0311807 | Time: 1868.35 ms [2020-11-25 02:14:19 main:581] : INFO : Epoch 81 | loss: 0.0310759 | val_loss: 0.0311754 | Time: 1795.44 ms [2020-11-25 02:14:21 main:581] : INFO : Epoch 82 | loss: 0.0310871 | val_loss: 0.031184 | Time: 1917.05 ms [2020-11-25 02:14:23 main:581] : INFO : Epoch 83 | loss: 0.0311017 | val_loss: 0.0311705 | Time: 2150.13 ms [2020-11-25 02:14:25 main:581] : INFO : Epoch 84 | loss: 0.0310967 | val_loss: 0.0311682 | Time: 2025.15 ms [2020-11-25 02:14:27 main:581] : INFO : Epoch 85 | loss: 0.0310952 | val_loss: 0.0311749 | Time: 1998.12 ms [2020-11-25 02:14:29 main:581] : INFO : Epoch 86 | loss: 0.0310922 | val_loss: 0.031166 | Time: 2033.13 ms [2020-11-25 02:14:31 main:581] : INFO : Epoch 87 | loss: 0.0310888 | val_loss: 0.0311647 | Time: 2061.82 ms [2020-11-25 02:14:34 main:581] : INFO : Epoch 88 | loss: 0.0310858 | val_loss: 0.0311666 | Time: 2037.77 ms [2020-11-25 02:14:36 main:581] : INFO : Epoch 89 | loss: 0.0310836 | val_loss: 0.0311668 | Time: 2064.98 ms [2020-11-25 02:14:38 main:581] : INFO : Epoch 90 | loss: 0.0310911 | val_loss: 0.0311673 | Time: 2012.86 ms [2020-11-25 02:14:40 main:581] : INFO : Epoch 91 | loss: 0.0310893 | val_loss: 0.0311662 | Time: 2068.12 ms [2020-11-25 02:14:41 main:581] : INFO : Epoch 92 | loss: 0.0310849 | val_loss: 0.0311674 | Time: 1682.61 ms [2020-11-25 02:14:43 main:581] : INFO : Epoch 93 | loss: 0.0310819 | val_loss: 0.0311582 | Time: 1872.07 ms [2020-11-25 02:14:45 main:581] : INFO : Epoch 94 | loss: 0.0310839 | val_loss: 0.0311642 | Time: 1986.99 ms [2020-11-25 02:14:47 main:581] : INFO : Epoch 95 | loss: 0.0310786 | val_loss: 0.0311651 | Time: 1736.17 ms [2020-11-25 02:14:49 main:581] : INFO : Epoch 96 | loss: 0.031081 | val_loss: 0.0311665 | Time: 1955.85 ms [2020-11-25 02:14:51 main:581] : INFO : Epoch 97 | loss: 0.0310796 | val_loss: 0.0311707 | Time: 1962.9 ms [2020-11-25 02:14:53 main:581] : INFO : Epoch 98 | loss: 0.0310824 | val_loss: 0.0311775 | Time: 1773.28 ms [2020-11-25 02:14:55 main:581] : INFO : Epoch 99 | loss: 0.0310801 | val_loss: 0.0311728 | Time: 2017.12 ms [2020-11-25 02:14:57 main:581] : INFO : Epoch 100 | loss: 0.031076 | val_loss: 0.0311763 | Time: 2063.55 ms [2020-11-25 02:14:59 main:581] : INFO : Epoch 101 | loss: 0.0310735 | val_loss: 0.0311745 | Time: 2100.72 ms [2020-11-25 02:15:01 main:581] : INFO : Epoch 102 | loss: 0.0310709 | val_loss: 0.0311763 | Time: 1889.36 ms [2020-11-25 02:15:03 main:581] : INFO : Epoch 103 | loss: 0.0310719 | val_loss: 0.0311684 | Time: 2064.24 ms [2020-11-25 02:15:05 main:581] : INFO : Epoch 104 | loss: 0.0310847 | val_loss: 0.031162 | Time: 2090.24 ms [2020-11-25 02:15:07 main:581] : INFO : Epoch 105 | loss: 0.0310848 | val_loss: 0.0311735 | Time: 1906.29 ms [2020-11-25 02:15:09 main:581] : INFO : Epoch 106 | loss: 0.0310813 | val_loss: 0.0311735 | Time: 1926.08 ms [2020-11-25 02:15:11 main:581] : INFO : Epoch 107 | loss: 0.0310842 | val_loss: 0.0311717 | Time: 2037.75 ms [2020-11-25 02:15:13 main:581] : INFO : Epoch 108 | loss: 0.0310802 | val_loss: 0.0311779 | Time: 2053.72 ms [2020-11-25 02:15:15 main:581] : INFO : Epoch 109 | loss: 0.0310797 | val_loss: 0.0311724 | Time: 2070.69 ms [2020-11-25 02:15:17 main:581] : INFO : Epoch 110 | loss: 0.0310776 | val_loss: 0.0311686 | Time: 2045.28 ms [2020-11-25 02:15:19 main:581] : INFO : Epoch 111 | loss: 0.031078 | val_loss: 0.0311716 | Time: 2046.27 ms [2020-11-25 02:15:21 main:581] : INFO : Epoch 112 | loss: 0.0310783 | val_loss: 0.031171 | Time: 1986.98 ms [2020-11-25 02:15:23 main:581] : INFO : Epoch 113 | loss: 0.0310925 | val_loss: 0.0311663 | Time: 2068.97 ms [2020-11-25 02:15:25 main:581] : INFO : Epoch 114 | loss: 0.0310909 | val_loss: 0.0311671 | Time: 1980.55 ms [2020-11-25 02:15:27 main:581] : INFO : Epoch 115 | loss: 0.0310851 | val_loss: 0.0311749 | Time: 2073.64 ms [2020-11-25 02:15:29 main:581] : INFO : Epoch 116 | loss: 0.0310812 | val_loss: 0.0311722 | Time: 2032.92 ms [2020-11-25 02:15:31 main:581] : INFO : Epoch 117 | loss: 0.0310764 | val_loss: 0.0311801 | Time: 2123.2 ms [2020-11-25 02:15:33 main:581] : INFO : Epoch 118 | loss: 0.0310775 | val_loss: 0.0311831 | Time: 2103.85 ms [2020-11-25 02:15:35 main:581] : INFO : Epoch 119 | loss: 0.0310798 | val_loss: 0.0311862 | Time: 1787.96 ms [2020-11-25 02:15:37 main:581] : INFO : Epoch 120 | loss: 0.0310793 | val_loss: 0.0311864 | Time: 1943.37 ms [2020-11-25 02:15:39 main:581] : INFO : Epoch 121 | loss: 0.031078 | val_loss: 0.0311814 | Time: 2056.52 ms [2020-11-25 02:15:41 main:581] : INFO : Epoch 122 | loss: 0.0310764 | val_loss: 0.0311738 | Time: 2062.79 ms [2020-11-25 02:15:43 main:581] : INFO : Epoch 123 | loss: 0.0310786 | val_loss: 0.0311765 | Time: 2047.65 ms [2020-11-25 02:15:45 main:581] : INFO : Epoch 124 | loss: 0.0310777 | val_loss: 0.031175 | Time: 2127.1 ms [2020-11-25 02:15:47 main:581] : INFO : Epoch 125 | loss: 0.0310778 | val_loss: 0.0311764 | Time: 1871.47 ms [2020-11-25 02:15:49 main:581] : INFO : Epoch 126 | loss: 0.0310819 | val_loss: 0.0311725 | Time: 2108.72 ms [2020-11-25 02:15:51 main:581] : INFO : Epoch 127 | loss: 0.0310734 | val_loss: 0.0311807 | Time: 1998.5 ms [2020-11-25 02:15:53 main:581] : INFO : Epoch 128 | loss: 0.0310697 | val_loss: 0.0311825 | Time: 2062.01 ms [2020-11-25 02:15:53 main:604] : INFO : Saving trained model to model-final.pt, val_loss 0.0311825 [2020-11-25 02:15:53 main:610] : INFO : Saving end state to config to file [2020-11-25 02:15:53 main:615] : INFO : Success, exiting.. 02:15:53 (10221): 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)