Task 3056187
| Name | ParityModified-1606097356-5999-13_0 |
| Workunit | 1387801 |
| Created | 25 Nov 2020, 5:15:39 UTC |
| Sent | 25 Nov 2020, 5:20:29 UTC |
| Report deadline | 2 Dec 2020, 5:20:29 UTC |
| Received | 25 Nov 2020, 5:25:23 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 15 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 00:20:54 main:442] : INFO : Set logging level to 1 [2020-11-25 00:20:54 main:448] : INFO : Running in BOINC Client mode [2020-11-25 00:20:54 main:451] : INFO : Resolving all filenames [2020-11-25 00:20:54 main:459] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 (exists = 1) [2020-11-25 00:20:54 main:459] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1606097356-5999-13_0_r468485576_1 (exists = 0) [2020-11-25 00:20:54 main:459] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1606097356-5999-13_0_r468485576_0 (exists = 0) [2020-11-25 00:20:54 main:459] : INFO : Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1606097356-5999-13 (exists = 1) [2020-11-25 00:20:54 main:459] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-25 00:20:54 main:479] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 [2020-11-25 00:20:54 main:481] : INFO : Configuration: [2020-11-25 00:20:54 main:482] : INFO : Model type: GRU [2020-11-25 00:20:54 main:483] : INFO : Validation Loss Threshold: 0.0001 [2020-11-25 00:20:54 main:484] : INFO : Max Epochs: 128 [2020-11-25 00:20:54 main:485] : INFO : Batch Size: 128 [2020-11-25 00:20:54 main:486] : INFO : Learning Rate: 0.01 [2020-11-25 00:20:54 main:487] : INFO : Patience: 10 [2020-11-25 00:20:54 main:488] : INFO : Hidden Width: 12 [2020-11-25 00:20:54 main:489] : INFO : # Recurrent Layers: 4 [2020-11-25 00:20:54 main:490] : INFO : # Backend Layers: 4 [2020-11-25 00:20:54 main:491] : INFO : # Threads: 1 [2020-11-25 00:20:54 main:493] : INFO : Preparing Dataset [2020-11-25 00:20:54 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 00:20:55 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 00:20:57 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2020-11-25 00:20:57 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 00:20:58 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 00:20:58 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-25 00:20:58 main:501] : INFO : Creating Model [2020-11-25 00:20:59 main:514] : INFO : Preparing config file [2020-11-25 00:20:59 main:526] : INFO : Creating new config file [2020-11-25 00:20:59 main:545] : INFO : This is a continuation WU, loading previous network [2020-11-25 00:20:59 main:566] : INFO : Loading DataLoader into Memory [2020-11-25 00:20:59 main:569] : INFO : Starting Training [2020-11-25 00:21:02 main:581] : INFO : Epoch 1 | loss: 0.0311288 | val_loss: 0.0312198 | Time: 2612.93 ms [2020-11-25 00:21:04 main:581] : INFO : Epoch 2 | loss: 0.0310795 | val_loss: 0.0312095 | Time: 1829.68 ms [2020-11-25 00:21:06 main:581] : INFO : Epoch 3 | loss: 0.0310667 | val_loss: 0.031222 | Time: 1855.14 ms [2020-11-25 00:21:08 main:581] : INFO : Epoch 4 | loss: 0.0311519 | val_loss: 0.0311919 | Time: 1867.48 ms [2020-11-25 00:21:10 main:581] : INFO : Epoch 5 | loss: 0.0311636 | val_loss: 0.0311803 | Time: 1961.5 ms [2020-11-25 00:21:12 main:581] : INFO : Epoch 6 | loss: 0.031156 | val_loss: 0.0311731 | Time: 1958.82 ms [2020-11-25 00:21:13 main:581] : INFO : Epoch 7 | loss: 0.0311506 | val_loss: 0.031171 | Time: 1945.83 ms [2020-11-25 00:21:16 main:581] : INFO : Epoch 8 | loss: 0.031146 | val_loss: 0.0311757 | Time: 2015.52 ms [2020-11-25 00:21:17 main:581] : INFO : Epoch 9 | loss: 0.0311406 | val_loss: 0.031173 | Time: 1968.51 ms [2020-11-25 00:21:19 main:581] : INFO : Epoch 10 | loss: 0.0311373 | val_loss: 0.0311692 | Time: 1917.6 ms [2020-11-25 00:21:21 main:581] : INFO : Epoch 11 | loss: 0.0311355 | val_loss: 0.0311734 | Time: 1979.37 ms [2020-11-25 00:21:23 main:581] : INFO : Epoch 12 | loss: 0.031136 | val_loss: 0.0311695 | Time: 1921.58 ms [2020-11-25 00:21:25 main:581] : INFO : Epoch 13 | loss: 0.0311315 | val_loss: 0.0311721 | Time: 1982.26 ms [2020-11-25 00:21:27 main:581] : INFO : Epoch 14 | loss: 0.0311273 | val_loss: 0.0311703 | Time: 1933.66 ms [2020-11-25 00:21:29 main:581] : INFO : Epoch 15 | loss: 0.0311264 | val_loss: 0.0311728 | Time: 1924.52 ms [2020-11-25 00:21:31 main:581] : INFO : Epoch 16 | loss: 0.031124 | val_loss: 0.0311735 | Time: 1950.53 ms [2020-11-25 00:21:33 main:581] : INFO : Epoch 17 | loss: 0.0311243 | val_loss: 0.0311715 | Time: 1971.61 ms [2020-11-25 00:21:35 main:581] : INFO : Epoch 18 | loss: 0.031123 | val_loss: 0.0311722 | Time: 1972.02 ms [2020-11-25 00:21:37 main:581] : INFO : Epoch 19 | loss: 0.0311195 | val_loss: 0.0311747 | Time: 1853.3 ms [2020-11-25 00:21:39 main:581] : INFO : Epoch 20 | loss: 0.0311202 | val_loss: 0.0311728 | Time: 1956.13 ms [2020-11-25 00:21:41 main:581] : INFO : Epoch 21 | loss: 0.0311218 | val_loss: 0.0311726 | Time: 2005.52 ms [2020-11-25 00:21:43 main:581] : INFO : Epoch 22 | loss: 0.0311196 | val_loss: 0.0311757 | Time: 1929.56 ms [2020-11-25 00:21:45 main:581] : INFO : Epoch 23 | loss: 0.0311172 | val_loss: 0.0311789 | Time: 1948.33 ms [2020-11-25 00:21:47 main:581] : INFO : Epoch 24 | loss: 0.0311188 | val_loss: 0.0311818 | Time: 1954.01 ms [2020-11-25 00:21:49 main:581] : INFO : Epoch 25 | loss: 0.0311198 | val_loss: 0.0311792 | Time: 1952.01 ms [2020-11-25 00:21:51 main:581] : INFO : Epoch 26 | loss: 0.0311167 | val_loss: 0.0311735 | Time: 1940.49 ms [2020-11-25 00:21:53 main:581] : INFO : Epoch 27 | loss: 0.0311139 | val_loss: 0.03118 | Time: 1973.44 ms [2020-11-25 00:21:54 main:581] : INFO : Epoch 28 | loss: 0.0311132 | val_loss: 0.0311794 | Time: 1955.78 ms [2020-11-25 00:21:57 main:581] : INFO : Epoch 29 | loss: 0.0311123 | val_loss: 0.0311795 | Time: 2015.51 ms [2020-11-25 00:21:58 main:581] : INFO : Epoch 30 | loss: 0.031109 | val_loss: 0.0311796 | Time: 1964.12 ms [2020-11-25 00:22:00 main:581] : INFO : Epoch 31 | loss: 0.0311072 | val_loss: 0.0311855 | Time: 1944.01 ms [2020-11-25 00:22:02 main:581] : INFO : Epoch 32 | loss: 0.0311048 | val_loss: 0.0311948 | Time: 1928.56 ms [2020-11-25 00:22:04 main:581] : INFO : Epoch 33 | loss: 0.0311071 | val_loss: 0.0311836 | Time: 2002.04 ms [2020-11-25 00:22:06 main:581] : INFO : Epoch 34 | loss: 0.0311049 | val_loss: 0.0311833 | Time: 2008.73 ms [2020-11-25 00:22:08 main:581] : INFO : Epoch 35 | loss: 0.0311087 | val_loss: 0.0311922 | Time: 1934.65 ms [2020-11-25 00:22:10 main:581] : INFO : Epoch 36 | loss: 0.0311067 | val_loss: 0.0311877 | Time: 1943.53 ms [2020-11-25 00:22:12 main:581] : INFO : Epoch 37 | loss: 0.0311068 | val_loss: 0.031186 | Time: 2038.65 ms [2020-11-25 00:22:14 main:581] : INFO : Epoch 38 | loss: 0.0311074 | val_loss: 0.0311856 | Time: 2038.15 ms [2020-11-25 00:22:16 main:581] : INFO : Epoch 39 | loss: 0.03112 | val_loss: 0.0311818 | Time: 1979.94 ms [2020-11-25 00:22:18 main:581] : INFO : Epoch 40 | loss: 0.0311292 | val_loss: 0.0311764 | Time: 2022.71 ms [2020-11-25 00:22:20 main:581] : INFO : Epoch 41 | loss: 0.0311224 | val_loss: 0.0311734 | Time: 1979.09 ms [2020-11-25 00:22:22 main:581] : INFO : Epoch 42 | loss: 0.0311174 | val_loss: 0.0311779 | Time: 1963.93 ms [2020-11-25 00:22:24 main:581] : INFO : Epoch 43 | loss: 0.0311153 | val_loss: 0.0311736 | Time: 2007.66 ms [2020-11-25 00:22:26 main:581] : INFO : Epoch 44 | loss: 0.0311149 | val_loss: 0.0311825 | Time: 1975.69 ms [2020-11-25 00:22:28 main:581] : INFO : Epoch 45 | loss: 0.031113 | val_loss: 0.0311802 | Time: 1947 ms [2020-11-25 00:22:30 main:581] : INFO : Epoch 46 | loss: 0.0311106 | val_loss: 0.0311779 | Time: 1999.33 ms [2020-11-25 00:22:32 main:581] : INFO : Epoch 47 | loss: 0.0311083 | val_loss: 0.0311761 | Time: 1941.76 ms [2020-11-25 00:22:34 main:581] : INFO : Epoch 48 | loss: 0.0311098 | val_loss: 0.0311723 | Time: 1952.04 ms [2020-11-25 00:22:36 main:581] : INFO : Epoch 49 | loss: 0.0311214 | val_loss: 0.0311697 | Time: 1981.33 ms [2020-11-25 00:22:38 main:581] : INFO : Epoch 50 | loss: 0.0311148 | val_loss: 0.0311724 | Time: 1963.61 ms [2020-11-25 00:22:40 main:581] : INFO : Epoch 51 | loss: 0.031111 | val_loss: 0.0311765 | Time: 1989.24 ms [2020-11-25 00:22:42 main:581] : INFO : Epoch 52 | loss: 0.0311093 | val_loss: 0.0311809 | Time: 1953.82 ms [2020-11-25 00:22:44 main:581] : INFO : Epoch 53 | loss: 0.0311087 | val_loss: 0.0311778 | Time: 1992.26 ms [2020-11-25 00:22:46 main:581] : INFO : Epoch 54 | loss: 0.0311072 | val_loss: 0.031182 | Time: 1959.31 ms [2020-11-25 00:22:48 main:581] : INFO : Epoch 55 | loss: 0.0311053 | val_loss: 0.0311827 | Time: 1980.56 ms [2020-11-25 00:22:50 main:581] : INFO : Epoch 56 | loss: 0.0311038 | val_loss: 0.0311806 | Time: 1998.46 ms [2020-11-25 00:22:52 main:581] : INFO : Epoch 57 | loss: 0.0311061 | val_loss: 0.0311838 | Time: 1929.2 ms [2020-11-25 00:22:54 main:581] : INFO : Epoch 58 | loss: 0.0311016 | val_loss: 0.0311876 | Time: 1895.94 ms [2020-11-25 00:22:56 main:581] : INFO : Epoch 59 | loss: 0.0310977 | val_loss: 0.0311902 | Time: 2031.04 ms [2020-11-25 00:22:58 main:581] : INFO : Epoch 60 | loss: 0.0310974 | val_loss: 0.0311811 | Time: 1950.37 ms [2020-11-25 00:23:00 main:581] : INFO : Epoch 61 | loss: 0.0311032 | val_loss: 0.031184 | Time: 2027.1 ms [2020-11-25 00:23:02 main:581] : INFO : Epoch 62 | loss: 0.0311014 | val_loss: 0.0311873 | Time: 1915.96 ms [2020-11-25 00:23:04 main:581] : INFO : Epoch 63 | loss: 0.0310992 | val_loss: 0.0311911 | Time: 1937.42 ms [2020-11-25 00:23:06 main:581] : INFO : Epoch 64 | loss: 0.0310985 | val_loss: 0.031184 | Time: 2008.2 ms [2020-11-25 00:23:08 main:581] : INFO : Epoch 65 | loss: 0.0310961 | val_loss: 0.0311849 | Time: 1982.67 ms [2020-11-25 00:23:10 main:581] : INFO : Epoch 66 | loss: 0.0310959 | val_loss: 0.0311904 | Time: 2013.98 ms [2020-11-25 00:23:12 main:581] : INFO : Epoch 67 | loss: 0.031097 | val_loss: 0.0311932 | Time: 1981.18 ms [2020-11-25 00:23:14 main:581] : INFO : Epoch 68 | loss: 0.0310974 | val_loss: 0.0311888 | Time: 1968.29 ms [2020-11-25 00:23:16 main:581] : INFO : Epoch 69 | loss: 0.0310945 | val_loss: 0.0311859 | Time: 1978.43 ms [2020-11-25 00:23:18 main:581] : INFO : Epoch 70 | loss: 0.0310928 | val_loss: 0.0311854 | Time: 1987.26 ms [2020-11-25 00:23:20 main:581] : INFO : Epoch 71 | loss: 0.031094 | val_loss: 0.0311844 | Time: 1991.21 ms [2020-11-25 00:23:22 main:581] : INFO : Epoch 72 | loss: 0.0310986 | val_loss: 0.0311857 | Time: 2000.64 ms [2020-11-25 00:23:24 main:581] : INFO : Epoch 73 | loss: 0.0310984 | val_loss: 0.0311824 | Time: 1996.33 ms [2020-11-25 00:23:25 main:581] : INFO : Epoch 74 | loss: 0.0310975 | val_loss: 0.0311851 | Time: 1946.03 ms [2020-11-25 00:23:27 main:581] : INFO : Epoch 75 | loss: 0.0310972 | val_loss: 0.0311908 | Time: 1934.1 ms [2020-11-25 00:23:29 main:581] : INFO : Epoch 76 | loss: 0.0310947 | val_loss: 0.0311808 | Time: 1959.53 ms [2020-11-25 00:23:31 main:581] : INFO : Epoch 77 | loss: 0.0310914 | val_loss: 0.0311935 | Time: 2027.85 ms [2020-11-25 00:23:33 main:581] : INFO : Epoch 78 | loss: 0.0310885 | val_loss: 0.0311921 | Time: 1971.25 ms [2020-11-25 00:23:35 main:581] : INFO : Epoch 79 | loss: 0.0310855 | val_loss: 0.0311868 | Time: 1989.64 ms [2020-11-25 00:23:37 main:581] : INFO : Epoch 80 | loss: 0.0310828 | val_loss: 0.0311884 | Time: 1978.53 ms [2020-11-25 00:23:39 main:581] : INFO : Epoch 81 | loss: 0.0310862 | val_loss: 0.0311858 | Time: 1958.96 ms [2020-11-25 00:23:41 main:581] : INFO : Epoch 82 | loss: 0.0310889 | val_loss: 0.0311906 | Time: 1967.81 ms [2020-11-25 00:23:43 main:581] : INFO : Epoch 83 | loss: 0.0310955 | val_loss: 0.0311964 | Time: 1940.23 ms [2020-11-25 00:23:45 main:581] : INFO : Epoch 84 | loss: 0.0310942 | val_loss: 0.0311815 | Time: 1992.59 ms [2020-11-25 00:23:47 main:581] : INFO : Epoch 85 | loss: 0.0310985 | val_loss: 0.0311861 | Time: 1976.53 ms [2020-11-25 00:23:49 main:581] : INFO : Epoch 86 | loss: 0.031105 | val_loss: 0.0311844 | Time: 1960.58 ms [2020-11-25 00:23:51 main:581] : INFO : Epoch 87 | loss: 0.0311039 | val_loss: 0.0311872 | Time: 2043.92 ms [2020-11-25 00:23:53 main:581] : INFO : Epoch 88 | loss: 0.031102 | val_loss: 0.0311854 | Time: 2055.67 ms [2020-11-25 00:23:55 main:581] : INFO : Epoch 89 | loss: 0.0310987 | val_loss: 0.0311874 | Time: 1934.43 ms [2020-11-25 00:23:57 main:581] : INFO : Epoch 90 | loss: 0.031093 | val_loss: 0.0311931 | Time: 2043.72 ms [2020-11-25 00:23:59 main:581] : INFO : Epoch 91 | loss: 0.0310939 | val_loss: 0.0311891 | Time: 1981.75 ms [2020-11-25 00:24:01 main:581] : INFO : Epoch 92 | loss: 0.031092 | val_loss: 0.0311885 | Time: 1953.87 ms [2020-11-25 00:24:03 main:581] : INFO : Epoch 93 | loss: 0.0310916 | val_loss: 0.0311928 | Time: 2026.99 ms [2020-11-25 00:24:05 main:581] : INFO : Epoch 94 | loss: 0.0310879 | val_loss: 0.0311912 | Time: 1938.5 ms [2020-11-25 00:24:07 main:581] : INFO : Epoch 95 | loss: 0.0310945 | val_loss: 0.0311954 | Time: 1957.63 ms [2020-11-25 00:24:09 main:581] : INFO : Epoch 96 | loss: 0.0310886 | val_loss: 0.0311879 | Time: 1993.17 ms [2020-11-25 00:24:11 main:581] : INFO : Epoch 97 | loss: 0.0310865 | val_loss: 0.0311858 | Time: 2029.8 ms [2020-11-25 00:24:13 main:581] : INFO : Epoch 98 | loss: 0.0310907 | val_loss: 0.0311917 | Time: 2022.13 ms [2020-11-25 00:24:15 main:581] : INFO : Epoch 99 | loss: 0.031095 | val_loss: 0.0311931 | Time: 1995.98 ms [2020-11-25 00:24:17 main:581] : INFO : Epoch 100 | loss: 0.0310892 | val_loss: 0.0311843 | Time: 2000.25 ms [2020-11-25 00:24:19 main:581] : INFO : Epoch 101 | loss: 0.03109 | val_loss: 0.031189 | Time: 1965.7 ms [2020-11-25 00:24:21 main:581] : INFO : Epoch 102 | loss: 0.0310853 | val_loss: 0.0312004 | Time: 1996.9 ms [2020-11-25 00:24:23 main:581] : INFO : Epoch 103 | loss: 0.031086 | val_loss: 0.0311933 | Time: 1962.89 ms [2020-11-25 00:24:25 main:581] : INFO : Epoch 104 | loss: 0.0310834 | val_loss: 0.031207 | Time: 1986.79 ms [2020-11-25 00:24:27 main:581] : INFO : Epoch 105 | loss: 0.0310907 | val_loss: 0.0311882 | Time: 1935.35 ms [2020-11-25 00:24:29 main:581] : INFO : Epoch 106 | loss: 0.0310966 | val_loss: 0.0311918 | Time: 1964.17 ms [2020-11-25 00:24:31 main:581] : INFO : Epoch 107 | loss: 0.0310907 | val_loss: 0.0311962 | Time: 1974.17 ms [2020-11-25 00:24:33 main:581] : INFO : Epoch 108 | loss: 0.0310885 | val_loss: 0.0311907 | Time: 1941.52 ms [2020-11-25 00:24:35 main:581] : INFO : Epoch 109 | loss: 0.031095 | val_loss: 0.0311855 | Time: 1977.78 ms [2020-11-25 00:24:37 main:581] : INFO : Epoch 110 | loss: 0.031111 | val_loss: 0.0311747 | Time: 1965.11 ms [2020-11-25 00:24:39 main:581] : INFO : Epoch 111 | loss: 0.0311076 | val_loss: 0.0311845 | Time: 2026.68 ms [2020-11-25 00:24:41 main:581] : INFO : Epoch 112 | loss: 0.0311021 | val_loss: 0.0311807 | Time: 2011.01 ms [2020-11-25 00:24:43 main:581] : INFO : Epoch 113 | loss: 0.0310992 | val_loss: 0.0311909 | Time: 2017.6 ms [2020-11-25 00:24:45 main:581] : INFO : Epoch 114 | loss: 0.0310938 | val_loss: 0.031193 | Time: 2014.64 ms [2020-11-25 00:24:47 main:581] : INFO : Epoch 115 | loss: 0.0310915 | val_loss: 0.0311887 | Time: 1980.34 ms [2020-11-25 00:24:49 main:581] : INFO : Epoch 116 | loss: 0.031089 | val_loss: 0.0311902 | Time: 2011.17 ms [2020-11-25 00:24:51 main:581] : INFO : Epoch 117 | loss: 0.031086 | val_loss: 0.0312029 | Time: 2029.34 ms [2020-11-25 00:24:53 main:581] : INFO : Epoch 118 | loss: 0.0310838 | val_loss: 0.0311978 | Time: 1975.69 ms [2020-11-25 00:24:55 main:581] : INFO : Epoch 119 | loss: 0.0310852 | val_loss: 0.0311947 | Time: 1995.96 ms [2020-11-25 00:24:57 main:581] : INFO : Epoch 120 | loss: 0.0310879 | val_loss: 0.0311877 | Time: 1987.8 ms [2020-11-25 00:24:59 main:581] : INFO : Epoch 121 | loss: 0.031087 | val_loss: 0.0311935 | Time: 1945.53 ms [2020-11-25 00:25:01 main:581] : INFO : Epoch 122 | loss: 0.0310879 | val_loss: 0.0312098 | Time: 1840.93 ms [2020-11-25 00:25:03 main:581] : INFO : Epoch 123 | loss: 0.0311758 | val_loss: 0.0311907 | Time: 1921.69 ms [2020-11-25 00:25:05 main:581] : INFO : Epoch 124 | loss: 0.0312083 | val_loss: 0.0312156 | Time: 1974.84 ms [2020-11-25 00:25:06 main:581] : INFO : Epoch 125 | loss: 0.0312185 | val_loss: 0.0312173 | Time: 1918.94 ms [2020-11-25 00:25:08 main:581] : INFO : Epoch 126 | loss: 0.0314221 | val_loss: 0.0314619 | Time: 2022.07 ms [2020-11-25 00:25:10 main:581] : INFO : Epoch 127 | loss: 0.0315278 | val_loss: 0.0313372 | Time: 1981.63 ms [2020-11-25 00:25:12 main:581] : INFO : Epoch 128 | loss: 0.0312689 | val_loss: 0.0312106 | Time: 1936.57 ms [2020-11-25 00:25:12 main:604] : INFO : Saving trained model to model-final.pt, val_loss 0.0312106 [2020-11-25 00:25:12 main:610] : INFO : Saving end state to config to file [2020-11-25 00:25:12 main:615] : INFO : Success, exiting.. 00:25:12 (9963): 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)