Task 3050644
| Name | ParityModified-1606097356-5999-4_0 |
| Workunit | 1383441 |
| Created | 24 Nov 2020, 13:09:57 UTC |
| Sent | 24 Nov 2020, 13:29:16 UTC |
| Report deadline | 1 Dec 2020, 13:29:16 UTC |
| Received | 24 Nov 2020, 13:34:00 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 4754 |
| Run time | 4 min 13 sec |
| CPU time | 4 min 9 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 08:29:37 main:442] : INFO : Set logging level to 1 [2020-11-24 08:29:37 main:448] : INFO : Running in BOINC Client mode [2020-11-24 08:29:37 main:451] : INFO : Resolving all filenames [2020-11-24 08:29:37 main:459] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 (exists = 1) [2020-11-24 08:29:37 main:459] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1606097356-5999-4_0_r360392950_1 (exists = 0) [2020-11-24 08:29:37 main:459] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1606097356-5999-4_0_r360392950_0 (exists = 0) [2020-11-24 08:29:37 main:459] : INFO : Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1606097356-5999-4 (exists = 1) [2020-11-24 08:29:37 main:459] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-24 08:29:37 main:479] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 [2020-11-24 08:29:37 main:481] : INFO : Configuration: [2020-11-24 08:29:37 main:482] : INFO : Model type: GRU [2020-11-24 08:29:37 main:483] : INFO : Validation Loss Threshold: 0.0001 [2020-11-24 08:29:37 main:484] : INFO : Max Epochs: 128 [2020-11-24 08:29:37 main:485] : INFO : Batch Size: 128 [2020-11-24 08:29:37 main:486] : INFO : Learning Rate: 0.01 [2020-11-24 08:29:37 main:487] : INFO : Patience: 10 [2020-11-24 08:29:37 main:488] : INFO : Hidden Width: 12 [2020-11-24 08:29:37 main:489] : INFO : # Recurrent Layers: 4 [2020-11-24 08:29:37 main:490] : INFO : # Backend Layers: 4 [2020-11-24 08:29:37 main:491] : INFO : # Threads: 1 [2020-11-24 08:29:37 main:493] : INFO : Preparing Dataset [2020-11-24 08:29:37 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2020-11-24 08:29:38 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 08:29:40 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2020-11-24 08:29:40 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2020-11-24 08:29:40 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2020-11-24 08:29:41 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-24 08:29:41 main:501] : INFO : Creating Model [2020-11-24 08:29:41 main:514] : INFO : Preparing config file [2020-11-24 08:29:41 main:526] : INFO : Creating new config file [2020-11-24 08:29:41 main:545] : INFO : This is a continuation WU, loading previous network [2020-11-24 08:29:41 main:566] : INFO : Loading DataLoader into Memory [2020-11-24 08:29:41 main:569] : INFO : Starting Training [2020-11-24 08:29:44 main:581] : INFO : Epoch 1 | loss: 0.0313071 | val_loss: 0.0312039 | Time: 3035.71 ms [2020-11-24 08:29:46 main:581] : INFO : Epoch 2 | loss: 0.0311711 | val_loss: 0.0311709 | Time: 2078.58 ms [2020-11-24 08:29:48 main:581] : INFO : Epoch 3 | loss: 0.0311495 | val_loss: 0.0311678 | Time: 2073.84 ms [2020-11-24 08:29:50 main:581] : INFO : Epoch 4 | loss: 0.0311397 | val_loss: 0.0311691 | Time: 2000 ms [2020-11-24 08:29:52 main:581] : INFO : Epoch 5 | loss: 0.031133 | val_loss: 0.0311649 | Time: 1985.92 ms [2020-11-24 08:29:54 main:581] : INFO : Epoch 6 | loss: 0.0311295 | val_loss: 0.0311702 | Time: 1726.31 ms [2020-11-24 08:29:56 main:581] : INFO : Epoch 7 | loss: 0.0311238 | val_loss: 0.0311813 | Time: 1981.93 ms [2020-11-24 08:29:58 main:581] : INFO : Epoch 8 | loss: 0.0311188 | val_loss: 0.0311934 | Time: 1955.83 ms [2020-11-24 08:30:00 main:581] : INFO : Epoch 9 | loss: 0.031117 | val_loss: 0.0311776 | Time: 1983.47 ms [2020-11-24 08:30:02 main:581] : INFO : Epoch 10 | loss: 0.0311133 | val_loss: 0.0311886 | Time: 2006.4 ms [2020-11-24 08:30:04 main:581] : INFO : Epoch 11 | loss: 0.0311046 | val_loss: 0.031196 | Time: 1975.5 ms [2020-11-24 08:30:06 main:581] : INFO : Epoch 12 | loss: 0.0311032 | val_loss: 0.031197 | Time: 1966.47 ms [2020-11-24 08:30:08 main:581] : INFO : Epoch 13 | loss: 0.0310991 | val_loss: 0.0312048 | Time: 2038.23 ms [2020-11-24 08:30:10 main:581] : INFO : Epoch 14 | loss: 0.0310972 | val_loss: 0.031211 | Time: 1966.23 ms [2020-11-24 08:30:12 main:581] : INFO : Epoch 15 | loss: 0.0310955 | val_loss: 0.0311959 | Time: 1905.34 ms [2020-11-24 08:30:13 main:581] : INFO : Epoch 16 | loss: 0.0310963 | val_loss: 0.0312134 | Time: 1688.59 ms [2020-11-24 08:30:15 main:581] : INFO : Epoch 17 | loss: 0.0310948 | val_loss: 0.0312014 | Time: 1841.27 ms [2020-11-24 08:30:17 main:581] : INFO : Epoch 18 | loss: 0.0310905 | val_loss: 0.0311916 | Time: 1983.83 ms [2020-11-24 08:30:19 main:581] : INFO : Epoch 19 | loss: 0.0310886 | val_loss: 0.0312123 | Time: 1988.19 ms [2020-11-24 08:30:21 main:581] : INFO : Epoch 20 | loss: 0.0310817 | val_loss: 0.0312163 | Time: 1874.47 ms [2020-11-24 08:30:23 main:581] : INFO : Epoch 21 | loss: 0.0310748 | val_loss: 0.0312045 | Time: 1736.96 ms [2020-11-24 08:30:25 main:581] : INFO : Epoch 22 | loss: 0.031075 | val_loss: 0.0312346 | Time: 2038.31 ms [2020-11-24 08:30:27 main:581] : INFO : Epoch 23 | loss: 0.0310751 | val_loss: 0.0312278 | Time: 1939.76 ms [2020-11-24 08:30:29 main:581] : INFO : Epoch 24 | loss: 0.0310696 | val_loss: 0.0312359 | Time: 1984.09 ms [2020-11-24 08:30:31 main:581] : INFO : Epoch 25 | loss: 0.031071 | val_loss: 0.0312425 | Time: 1959.18 ms [2020-11-24 08:30:33 main:581] : INFO : Epoch 26 | loss: 0.0310747 | val_loss: 0.0312442 | Time: 1986.84 ms [2020-11-24 08:30:35 main:581] : INFO : Epoch 27 | loss: 0.031074 | val_loss: 0.0312246 | Time: 1884.51 ms [2020-11-24 08:30:37 main:581] : INFO : Epoch 28 | loss: 0.0310679 | val_loss: 0.0312257 | Time: 1952.35 ms [2020-11-24 08:30:38 main:581] : INFO : Epoch 29 | loss: 0.0310678 | val_loss: 0.0312373 | Time: 1871.28 ms [2020-11-24 08:30:40 main:581] : INFO : Epoch 30 | loss: 0.0310648 | val_loss: 0.0312302 | Time: 1997.29 ms [2020-11-24 08:30:42 main:581] : INFO : Epoch 31 | loss: 0.031062 | val_loss: 0.0312421 | Time: 1904.92 ms [2020-11-24 08:30:44 main:581] : INFO : Epoch 32 | loss: 0.0310577 | val_loss: 0.0312466 | Time: 1760.36 ms [2020-11-24 08:30:46 main:581] : INFO : Epoch 33 | loss: 0.0310549 | val_loss: 0.0312009 | Time: 2068.42 ms [2020-11-24 08:30:48 main:581] : INFO : Epoch 34 | loss: 0.0310568 | val_loss: 0.0312315 | Time: 1940.49 ms [2020-11-24 08:30:50 main:581] : INFO : Epoch 35 | loss: 0.0310611 | val_loss: 0.0312439 | Time: 1783.53 ms [2020-11-24 08:30:52 main:581] : INFO : Epoch 36 | loss: 0.0310593 | val_loss: 0.0312404 | Time: 1689.98 ms [2020-11-24 08:30:54 main:581] : INFO : Epoch 37 | loss: 0.0310479 | val_loss: 0.031235 | Time: 1907.11 ms [2020-11-24 08:30:55 main:581] : INFO : Epoch 38 | loss: 0.0310513 | val_loss: 0.0312456 | Time: 1863.55 ms [2020-11-24 08:30:57 main:581] : INFO : Epoch 39 | loss: 0.0310511 | val_loss: 0.0312491 | Time: 1812.42 ms [2020-11-24 08:30:59 main:581] : INFO : Epoch 40 | loss: 0.0310475 | val_loss: 0.0312555 | Time: 2054.87 ms [2020-11-24 08:31:01 main:581] : INFO : Epoch 41 | loss: 0.0310398 | val_loss: 0.0312487 | Time: 1907.5 ms [2020-11-24 08:31:03 main:581] : INFO : Epoch 42 | loss: 0.0310454 | val_loss: 0.0312334 | Time: 1647.1 ms [2020-11-24 08:31:05 main:581] : INFO : Epoch 43 | loss: 0.0310438 | val_loss: 0.0312446 | Time: 1898.26 ms [2020-11-24 08:31:07 main:581] : INFO : Epoch 44 | loss: 0.0310389 | val_loss: 0.0312583 | Time: 1782.3 ms [2020-11-24 08:31:08 main:581] : INFO : Epoch 45 | loss: 0.0310361 | val_loss: 0.0312723 | Time: 1695.61 ms [2020-11-24 08:31:10 main:581] : INFO : Epoch 46 | loss: 0.0310369 | val_loss: 0.0312442 | Time: 2020.3 ms [2020-11-24 08:31:12 main:581] : INFO : Epoch 47 | loss: 0.0310405 | val_loss: 0.031249 | Time: 2048.66 ms [2020-11-24 08:31:14 main:581] : INFO : Epoch 48 | loss: 0.0310506 | val_loss: 0.0312336 | Time: 1805.19 ms [2020-11-24 08:31:16 main:581] : INFO : Epoch 49 | loss: 0.0310384 | val_loss: 0.0312499 | Time: 1795.33 ms [2020-11-24 08:31:18 main:581] : INFO : Epoch 50 | loss: 0.0310332 | val_loss: 0.0312727 | Time: 1953.88 ms [2020-11-24 08:31:20 main:581] : INFO : Epoch 51 | loss: 0.0310332 | val_loss: 0.0312606 | Time: 1967.23 ms [2020-11-24 08:31:22 main:581] : INFO : Epoch 52 | loss: 0.0310358 | val_loss: 0.0312487 | Time: 2049.3 ms [2020-11-24 08:31:24 main:581] : INFO : Epoch 53 | loss: 0.031038 | val_loss: 0.0312499 | Time: 2057.78 ms [2020-11-24 08:31:26 main:581] : INFO : Epoch 54 | loss: 0.0310321 | val_loss: 0.0312639 | Time: 2080.62 ms [2020-11-24 08:31:28 main:581] : INFO : Epoch 55 | loss: 0.0310307 | val_loss: 0.0312625 | Time: 1995.91 ms [2020-11-24 08:31:30 main:581] : INFO : Epoch 56 | loss: 0.0310286 | val_loss: 0.0312533 | Time: 1861.93 ms [2020-11-24 08:31:32 main:581] : INFO : Epoch 57 | loss: 0.0310321 | val_loss: 0.031241 | Time: 1979.21 ms [2020-11-24 08:31:34 main:581] : INFO : Epoch 58 | loss: 0.0310402 | val_loss: 0.0312498 | Time: 2024.31 ms [2020-11-24 08:31:36 main:581] : INFO : Epoch 59 | loss: 0.0310357 | val_loss: 0.0312696 | Time: 2058.91 ms [2020-11-24 08:31:38 main:581] : INFO : Epoch 60 | loss: 0.0310286 | val_loss: 0.0312569 | Time: 1878.66 ms [2020-11-24 08:31:40 main:581] : INFO : Epoch 61 | loss: 0.0310342 | val_loss: 0.0312536 | Time: 1996.6 ms [2020-11-24 08:31:42 main:581] : INFO : Epoch 62 | loss: 0.0310293 | val_loss: 0.0312784 | Time: 1848.29 ms [2020-11-24 08:31:44 main:581] : INFO : Epoch 63 | loss: 0.0310285 | val_loss: 0.0312905 | Time: 1920.08 ms [2020-11-24 08:31:46 main:581] : INFO : Epoch 64 | loss: 0.0310347 | val_loss: 0.0312515 | Time: 2043.5 ms [2020-11-24 08:31:47 main:581] : INFO : Epoch 65 | loss: 0.0310311 | val_loss: 0.0312914 | Time: 1882.4 ms [2020-11-24 08:31:49 main:581] : INFO : Epoch 66 | loss: 0.0310351 | val_loss: 0.031285 | Time: 1878.37 ms [2020-11-24 08:31:51 main:581] : INFO : Epoch 67 | loss: 0.0310293 | val_loss: 0.0312714 | Time: 2023.64 ms [2020-11-24 08:31:53 main:581] : INFO : Epoch 68 | loss: 0.0310249 | val_loss: 0.0312753 | Time: 2111.05 ms [2020-11-24 08:31:55 main:581] : INFO : Epoch 69 | loss: 0.0310301 | val_loss: 0.0312582 | Time: 1800.9 ms [2020-11-24 08:31:57 main:581] : INFO : Epoch 70 | loss: 0.0310247 | val_loss: 0.0312725 | Time: 1797.57 ms [2020-11-24 08:31:59 main:581] : INFO : Epoch 71 | loss: 0.0310276 | val_loss: 0.0312642 | Time: 2048.01 ms [2020-11-24 08:32:01 main:581] : INFO : Epoch 72 | loss: 0.031027 | val_loss: 0.0312516 | Time: 2082.68 ms [2020-11-24 08:32:03 main:581] : INFO : Epoch 73 | loss: 0.0310235 | val_loss: 0.031274 | Time: 1913.05 ms [2020-11-24 08:32:05 main:581] : INFO : Epoch 74 | loss: 0.0310227 | val_loss: 0.0312378 | Time: 1930.35 ms [2020-11-24 08:32:07 main:581] : INFO : Epoch 75 | loss: 0.0310357 | val_loss: 0.0312712 | Time: 1801.55 ms [2020-11-24 08:32:09 main:581] : INFO : Epoch 76 | loss: 0.031026 | val_loss: 0.0312871 | Time: 1661.52 ms [2020-11-24 08:32:10 main:581] : INFO : Epoch 77 | loss: 0.0310239 | val_loss: 0.0312587 | Time: 1924.27 ms [2020-11-24 08:32:13 main:581] : INFO : Epoch 78 | loss: 0.0310286 | val_loss: 0.0312941 | Time: 2093.48 ms [2020-11-24 08:32:15 main:581] : INFO : Epoch 79 | loss: 0.0310172 | val_loss: 0.0312741 | Time: 1981.64 ms [2020-11-24 08:32:16 main:581] : INFO : Epoch 80 | loss: 0.0310098 | val_loss: 0.0312822 | Time: 1805.69 ms [2020-11-24 08:32:18 main:581] : INFO : Epoch 81 | loss: 0.0310265 | val_loss: 0.0312535 | Time: 1775.39 ms [2020-11-24 08:32:20 main:581] : INFO : Epoch 82 | loss: 0.0310351 | val_loss: 0.0312654 | Time: 1727.45 ms [2020-11-24 08:32:22 main:581] : INFO : Epoch 83 | loss: 0.031022 | val_loss: 0.0312881 | Time: 1891.34 ms [2020-11-24 08:32:24 main:581] : INFO : Epoch 84 | loss: 0.0310158 | val_loss: 0.0312654 | Time: 1973.04 ms [2020-11-24 08:32:26 main:581] : INFO : Epoch 85 | loss: 0.0310142 | val_loss: 0.0312732 | Time: 1943.91 ms [2020-11-24 08:32:28 main:581] : INFO : Epoch 86 | loss: 0.0310247 | val_loss: 0.0313034 | Time: 2031.31 ms [2020-11-24 08:32:29 main:581] : INFO : Epoch 87 | loss: 0.0310171 | val_loss: 0.0312831 | Time: 1736.26 ms [2020-11-24 08:32:31 main:581] : INFO : Epoch 88 | loss: 0.0310132 | val_loss: 0.0312446 | Time: 1980.75 ms [2020-11-24 08:32:33 main:581] : INFO : Epoch 89 | loss: 0.0310216 | val_loss: 0.0312897 | Time: 1803.89 ms [2020-11-24 08:32:35 main:581] : INFO : Epoch 90 | loss: 0.0310129 | val_loss: 0.0312754 | Time: 1889.89 ms [2020-11-24 08:32:37 main:581] : INFO : Epoch 91 | loss: 0.0310133 | val_loss: 0.0313018 | Time: 1897.64 ms [2020-11-24 08:32:39 main:581] : INFO : Epoch 92 | loss: 0.0310289 | val_loss: 0.0312248 | Time: 1662.53 ms [2020-11-24 08:32:40 main:581] : INFO : Epoch 93 | loss: 0.0310236 | val_loss: 0.031298 | Time: 1790.15 ms [2020-11-24 08:32:42 main:581] : INFO : Epoch 94 | loss: 0.031023 | val_loss: 0.031243 | Time: 1784.4 ms [2020-11-24 08:32:44 main:581] : INFO : Epoch 95 | loss: 0.0310271 | val_loss: 0.0312945 | Time: 1988.63 ms [2020-11-24 08:32:46 main:581] : INFO : Epoch 96 | loss: 0.0310295 | val_loss: 0.0313027 | Time: 1922.17 ms [2020-11-24 08:32:48 main:581] : INFO : Epoch 97 | loss: 0.0310175 | val_loss: 0.0312961 | Time: 1872.85 ms [2020-11-24 08:32:50 main:581] : INFO : Epoch 98 | loss: 0.03101 | val_loss: 0.0312627 | Time: 1783.18 ms [2020-11-24 08:32:52 main:581] : INFO : Epoch 99 | loss: 0.0310137 | val_loss: 0.03126 | Time: 1975.59 ms [2020-11-24 08:32:54 main:581] : INFO : Epoch 100 | loss: 0.0310142 | val_loss: 0.0312808 | Time: 2033.16 ms [2020-11-24 08:32:56 main:581] : INFO : Epoch 101 | loss: 0.0310102 | val_loss: 0.0312542 | Time: 1948.82 ms [2020-11-24 08:32:58 main:581] : INFO : Epoch 102 | loss: 0.0310146 | val_loss: 0.0312749 | Time: 1792.64 ms [2020-11-24 08:33:00 main:581] : INFO : Epoch 103 | loss: 0.0310376 | val_loss: 0.0312603 | Time: 1969.32 ms [2020-11-24 08:33:01 main:581] : INFO : Epoch 104 | loss: 0.0310374 | val_loss: 0.0312835 | Time: 1778.3 ms [2020-11-24 08:33:03 main:581] : INFO : Epoch 105 | loss: 0.0310313 | val_loss: 0.0312557 | Time: 2024.75 ms [2020-11-24 08:33:05 main:581] : INFO : Epoch 106 | loss: 0.0310213 | val_loss: 0.0312695 | Time: 2042.8 ms [2020-11-24 08:33:07 main:581] : INFO : Epoch 107 | loss: 0.0310212 | val_loss: 0.0312742 | Time: 2008.47 ms [2020-11-24 08:33:09 main:581] : INFO : Epoch 108 | loss: 0.0310125 | val_loss: 0.0312735 | Time: 1869.89 ms [2020-11-24 08:33:11 main:581] : INFO : Epoch 109 | loss: 0.0310133 | val_loss: 0.0312778 | Time: 1704.09 ms [2020-11-24 08:33:13 main:581] : INFO : Epoch 110 | loss: 0.0310095 | val_loss: 0.031254 | Time: 1789.2 ms [2020-11-24 08:33:15 main:581] : INFO : Epoch 111 | loss: 0.0310129 | val_loss: 0.0312926 | Time: 2064.5 ms [2020-11-24 08:33:17 main:581] : INFO : Epoch 112 | loss: 0.0310097 | val_loss: 0.0312932 | Time: 2059.85 ms [2020-11-24 08:33:19 main:581] : INFO : Epoch 113 | loss: 0.0310344 | val_loss: 0.0312647 | Time: 2038.04 ms [2020-11-24 08:33:21 main:581] : INFO : Epoch 114 | loss: 0.0310207 | val_loss: 0.0312737 | Time: 1983.69 ms [2020-11-24 08:33:23 main:581] : INFO : Epoch 115 | loss: 0.0310159 | val_loss: 0.0312787 | Time: 1942.09 ms [2020-11-24 08:33:25 main:581] : INFO : Epoch 116 | loss: 0.0310261 | val_loss: 0.0312656 | Time: 2037.66 ms [2020-11-24 08:33:27 main:581] : INFO : Epoch 117 | loss: 0.0310263 | val_loss: 0.0312907 | Time: 1912.13 ms [2020-11-24 08:33:29 main:581] : INFO : Epoch 118 | loss: 0.0310147 | val_loss: 0.0312986 | Time: 1970.22 ms [2020-11-24 08:33:31 main:581] : INFO : Epoch 119 | loss: 0.0310224 | val_loss: 0.0312873 | Time: 1812.88 ms [2020-11-24 08:33:33 main:581] : INFO : Epoch 120 | loss: 0.0310259 | val_loss: 0.0313209 | Time: 1957.92 ms [2020-11-24 08:33:35 main:581] : INFO : Epoch 121 | loss: 0.0310118 | val_loss: 0.0312841 | Time: 2044.22 ms [2020-11-24 08:33:36 main:581] : INFO : Epoch 122 | loss: 0.0310057 | val_loss: 0.0312821 | Time: 1933.47 ms [2020-11-24 08:33:38 main:581] : INFO : Epoch 123 | loss: 0.0310768 | val_loss: 0.0312078 | Time: 1897.54 ms [2020-11-24 08:33:40 main:581] : INFO : Epoch 124 | loss: 0.0311171 | val_loss: 0.0312326 | Time: 1902.34 ms [2020-11-24 08:33:42 main:581] : INFO : Epoch 125 | loss: 0.0310825 | val_loss: 0.0312257 | Time: 1982.94 ms [2020-11-24 08:33:44 main:581] : INFO : Epoch 126 | loss: 0.0310502 | val_loss: 0.0312318 | Time: 1985.94 ms [2020-11-24 08:33:46 main:581] : INFO : Epoch 127 | loss: 0.0310327 | val_loss: 0.0312495 | Time: 1956.72 ms [2020-11-24 08:33:48 main:581] : INFO : Epoch 128 | loss: 0.0310128 | val_loss: 0.0312774 | Time: 2079.85 ms [2020-11-24 08:33:48 main:604] : INFO : Saving trained model to model-final.pt, val_loss 0.0312774 [2020-11-24 08:33:48 main:610] : INFO : Saving end state to config to file [2020-11-24 08:33:48 main:615] : INFO : Success, exiting.. 08:33:48 (8028): 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)