Task 3056379
| Name | ParityModified-1606097356-5999-14_0 |
| Workunit | 1387903 |
| Created | 25 Nov 2020, 5:25:38 UTC |
| Sent | 25 Nov 2020, 5:39:15 UTC |
| Report deadline | 2 Dec 2020, 5:39:15 UTC |
| Received | 25 Nov 2020, 5:44:03 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 17 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) [2020-11-25 00:39:32 main:442] : INFO : Set logging level to 1 [2020-11-25 00:39:32 main:448] : INFO : Running in BOINC Client mode [2020-11-25 00:39:32 main:451] : INFO : Resolving all filenames [2020-11-25 00:39:32 main:459] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 (exists = 1) [2020-11-25 00:39:32 main:459] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1606097356-5999-14_0_r619030108_1 (exists = 0) [2020-11-25 00:39:32 main:459] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1606097356-5999-14_0_r619030108_0 (exists = 0) [2020-11-25 00:39:32 main:459] : INFO : Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1606097356-5999-14 (exists = 1) [2020-11-25 00:39:32 main:459] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-25 00:39:32 main:479] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 [2020-11-25 00:39:32 main:481] : INFO : Configuration: [2020-11-25 00:39:32 main:482] : INFO : Model type: GRU [2020-11-25 00:39:32 main:483] : INFO : Validation Loss Threshold: 0.0001 [2020-11-25 00:39:32 main:484] : INFO : Max Epochs: 128 [2020-11-25 00:39:32 main:485] : INFO : Batch Size: 128 [2020-11-25 00:39:32 main:486] : INFO : Learning Rate: 0.01 [2020-11-25 00:39:32 main:487] : INFO : Patience: 10 [2020-11-25 00:39:32 main:488] : INFO : Hidden Width: 12 [2020-11-25 00:39:32 main:489] : INFO : # Recurrent Layers: 4 [2020-11-25 00:39:32 main:490] : INFO : # Backend Layers: 4 [2020-11-25 00:39:32 main:491] : INFO : # Threads: 1 [2020-11-25 00:39:32 main:493] : INFO : Preparing Dataset [2020-11-25 00:39:32 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 00:39:33 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 00:39:35 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2020-11-25 00:39:35 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 00:39:35 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 00:39:35 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-25 00:39:35 main:501] : INFO : Creating Model [2020-11-25 00:39:35 main:514] : INFO : Preparing config file [2020-11-25 00:39:35 main:526] : INFO : Creating new config file [2020-11-25 00:39:35 main:545] : INFO : This is a continuation WU, loading previous network [2020-11-25 00:39:36 main:566] : INFO : Loading DataLoader into Memory [2020-11-25 00:39:36 main:569] : INFO : Starting Training [2020-11-25 00:39:39 main:581] : INFO : Epoch 1 | loss: 0.0313352 | val_loss: 0.0312004 | Time: 3395.36 ms [2020-11-25 00:39:41 main:581] : INFO : Epoch 2 | loss: 0.0311923 | val_loss: 0.031175 | Time: 2010.12 ms [2020-11-25 00:39:43 main:581] : INFO : Epoch 3 | loss: 0.0311709 | val_loss: 0.031169 | Time: 2001.3 ms [2020-11-25 00:39:45 main:581] : INFO : Epoch 4 | loss: 0.0311643 | val_loss: 0.0311649 | Time: 2000.3 ms [2020-11-25 00:39:47 main:581] : INFO : Epoch 5 | loss: 0.0311571 | val_loss: 0.0311623 | Time: 2012.17 ms [2020-11-25 00:39:49 main:581] : INFO : Epoch 6 | loss: 0.0311569 | val_loss: 0.031161 | Time: 1981.79 ms [2020-11-25 00:39:51 main:581] : INFO : Epoch 7 | loss: 0.0311542 | val_loss: 0.0311632 | Time: 1991.32 ms [2020-11-25 00:39:53 main:581] : INFO : Epoch 8 | loss: 0.0311522 | val_loss: 0.0311581 | Time: 1947.5 ms [2020-11-25 00:39:55 main:581] : INFO : Epoch 9 | loss: 0.0311473 | val_loss: 0.0311573 | Time: 2009.15 ms [2020-11-25 00:39:57 main:581] : INFO : Epoch 10 | loss: 0.0311461 | val_loss: 0.0311624 | Time: 1965.44 ms [2020-11-25 00:39:59 main:581] : INFO : Epoch 11 | loss: 0.0311464 | val_loss: 0.0311604 | Time: 2015.99 ms [2020-11-25 00:40:01 main:581] : INFO : Epoch 12 | loss: 0.0311482 | val_loss: 0.0311624 | Time: 2000.92 ms [2020-11-25 00:40:03 main:581] : INFO : Epoch 13 | loss: 0.0311442 | val_loss: 0.0311596 | Time: 1993.83 ms [2020-11-25 00:40:05 main:581] : INFO : Epoch 14 | loss: 0.0311438 | val_loss: 0.0311605 | Time: 2009.54 ms [2020-11-25 00:40:07 main:581] : INFO : Epoch 15 | loss: 0.0311436 | val_loss: 0.0311611 | Time: 1983.62 ms [2020-11-25 00:40:09 main:581] : INFO : Epoch 16 | loss: 0.0311436 | val_loss: 0.0311586 | Time: 1974.89 ms [2020-11-25 00:40:11 main:581] : INFO : Epoch 17 | loss: 0.0311413 | val_loss: 0.0311626 | Time: 1993.69 ms [2020-11-25 00:40:13 main:581] : INFO : Epoch 18 | loss: 0.031145 | val_loss: 0.031164 | Time: 2001.67 ms [2020-11-25 00:40:15 main:581] : INFO : Epoch 19 | loss: 0.0311439 | val_loss: 0.0311558 | Time: 2025.88 ms [2020-11-25 00:40:17 main:581] : INFO : Epoch 20 | loss: 0.0311398 | val_loss: 0.0311564 | Time: 1990.27 ms [2020-11-25 00:40:19 main:581] : INFO : Epoch 21 | loss: 0.0311357 | val_loss: 0.0311569 | Time: 1979.4 ms [2020-11-25 00:40:21 main:581] : INFO : Epoch 22 | loss: 0.0311348 | val_loss: 0.0311537 | Time: 1981.64 ms [2020-11-25 00:40:23 main:581] : INFO : Epoch 23 | loss: 0.0311338 | val_loss: 0.0311568 | Time: 2015.78 ms [2020-11-25 00:40:25 main:581] : INFO : Epoch 24 | loss: 0.031135 | val_loss: 0.0311563 | Time: 1975.7 ms [2020-11-25 00:40:27 main:581] : INFO : Epoch 25 | loss: 0.0311344 | val_loss: 0.0311573 | Time: 1996.28 ms [2020-11-25 00:40:29 main:581] : INFO : Epoch 26 | loss: 0.0311349 | val_loss: 0.0311576 | Time: 2007 ms [2020-11-25 00:40:31 main:581] : INFO : Epoch 27 | loss: 0.0311321 | val_loss: 0.0311611 | Time: 2004.95 ms [2020-11-25 00:40:33 main:581] : INFO : Epoch 28 | loss: 0.0311318 | val_loss: 0.0311567 | Time: 2003.12 ms [2020-11-25 00:40:35 main:581] : INFO : Epoch 29 | loss: 0.0311302 | val_loss: 0.0311542 | Time: 1971.33 ms [2020-11-25 00:40:37 main:581] : INFO : Epoch 30 | loss: 0.0311291 | val_loss: 0.0311602 | Time: 2014.94 ms [2020-11-25 00:40:39 main:581] : INFO : Epoch 31 | loss: 0.0311313 | val_loss: 0.0311535 | Time: 1997.01 ms [2020-11-25 00:40:41 main:581] : INFO : Epoch 32 | loss: 0.0311265 | val_loss: 0.0311569 | Time: 2013.94 ms [2020-11-25 00:40:43 main:581] : INFO : Epoch 33 | loss: 0.0311263 | val_loss: 0.0311528 | Time: 1996.95 ms [2020-11-25 00:40:45 main:581] : INFO : Epoch 34 | loss: 0.0311252 | val_loss: 0.0311551 | Time: 1964.82 ms [2020-11-25 00:40:47 main:581] : INFO : Epoch 35 | loss: 0.0311279 | val_loss: 0.0311549 | Time: 1969.02 ms [2020-11-25 00:40:49 main:581] : INFO : Epoch 36 | loss: 0.0311271 | val_loss: 0.0311575 | Time: 2019.25 ms [2020-11-25 00:40:51 main:581] : INFO : Epoch 37 | loss: 0.031126 | val_loss: 0.0311637 | Time: 2026.88 ms [2020-11-25 00:40:53 main:581] : INFO : Epoch 38 | loss: 0.0311322 | val_loss: 0.0311581 | Time: 1989.13 ms [2020-11-25 00:40:55 main:581] : INFO : Epoch 39 | loss: 0.0311313 | val_loss: 0.0311559 | Time: 1961.14 ms [2020-11-25 00:40:57 main:581] : INFO : Epoch 40 | loss: 0.0311299 | val_loss: 0.0311566 | Time: 1981.49 ms [2020-11-25 00:40:59 main:581] : INFO : Epoch 41 | loss: 0.0311388 | val_loss: 0.0311573 | Time: 1996.57 ms [2020-11-25 00:41:01 main:581] : INFO : Epoch 42 | loss: 0.0311361 | val_loss: 0.0311619 | Time: 1987.81 ms [2020-11-25 00:41:03 main:581] : INFO : Epoch 43 | loss: 0.0311352 | val_loss: 0.0311549 | Time: 1982.37 ms [2020-11-25 00:41:05 main:581] : INFO : Epoch 44 | loss: 0.0311351 | val_loss: 0.0311625 | Time: 2009.16 ms [2020-11-25 00:41:07 main:581] : INFO : Epoch 45 | loss: 0.0311372 | val_loss: 0.0311552 | Time: 2010.34 ms [2020-11-25 00:41:09 main:581] : INFO : Epoch 46 | loss: 0.0311356 | val_loss: 0.0311584 | Time: 2010.17 ms [2020-11-25 00:41:11 main:581] : INFO : Epoch 47 | loss: 0.0311351 | val_loss: 0.0311629 | Time: 2005.37 ms [2020-11-25 00:41:13 main:581] : INFO : Epoch 48 | loss: 0.0311358 | val_loss: 0.0311607 | Time: 2004.71 ms [2020-11-25 00:41:15 main:581] : INFO : Epoch 49 | loss: 0.0311369 | val_loss: 0.0311546 | Time: 1970.5 ms [2020-11-25 00:41:17 main:581] : INFO : Epoch 50 | loss: 0.0311329 | val_loss: 0.0311575 | Time: 2062.82 ms [2020-11-25 00:41:19 main:581] : INFO : Epoch 51 | loss: 0.0311299 | val_loss: 0.0311564 | Time: 2022.45 ms [2020-11-25 00:41:21 main:581] : INFO : Epoch 52 | loss: 0.0311273 | val_loss: 0.031158 | Time: 1993.79 ms [2020-11-25 00:41:23 main:581] : INFO : Epoch 53 | loss: 0.0311284 | val_loss: 0.0311607 | Time: 1991.27 ms [2020-11-25 00:41:25 main:581] : INFO : Epoch 54 | loss: 0.0311305 | val_loss: 0.0311659 | Time: 2014.31 ms [2020-11-25 00:41:27 main:581] : INFO : Epoch 55 | loss: 0.0311261 | val_loss: 0.0311592 | Time: 1943.11 ms [2020-11-25 00:41:29 main:581] : INFO : Epoch 56 | loss: 0.0311272 | val_loss: 0.031158 | Time: 2001.57 ms [2020-11-25 00:41:31 main:581] : INFO : Epoch 57 | loss: 0.0311267 | val_loss: 0.0311604 | Time: 2004.03 ms [2020-11-25 00:41:33 main:581] : INFO : Epoch 58 | loss: 0.0311263 | val_loss: 0.0311586 | Time: 2006.38 ms [2020-11-25 00:41:35 main:581] : INFO : Epoch 59 | loss: 0.0311335 | val_loss: 0.0311558 | Time: 1992.52 ms [2020-11-25 00:41:37 main:581] : INFO : Epoch 60 | loss: 0.0311364 | val_loss: 0.0311542 | Time: 2004.85 ms [2020-11-25 00:41:39 main:581] : INFO : Epoch 61 | loss: 0.031131 | val_loss: 0.0311607 | Time: 1982.31 ms [2020-11-25 00:41:41 main:581] : INFO : Epoch 62 | loss: 0.0311433 | val_loss: 0.0311647 | Time: 2007.82 ms [2020-11-25 00:41:43 main:581] : INFO : Epoch 63 | loss: 0.0311529 | val_loss: 0.0311681 | Time: 1953.25 ms [2020-11-25 00:41:45 main:581] : INFO : Epoch 64 | loss: 0.0311473 | val_loss: 0.0311637 | Time: 2010 ms [2020-11-25 00:41:47 main:581] : INFO : Epoch 65 | loss: 0.0311473 | val_loss: 0.0311644 | Time: 1982.91 ms [2020-11-25 00:41:49 main:581] : INFO : Epoch 66 | loss: 0.0311429 | val_loss: 0.0311611 | Time: 2001.41 ms [2020-11-25 00:41:51 main:581] : INFO : Epoch 67 | loss: 0.0311393 | val_loss: 0.0311604 | Time: 2024.7 ms [2020-11-25 00:41:53 main:581] : INFO : Epoch 68 | loss: 0.0311388 | val_loss: 0.0311614 | Time: 1962.75 ms [2020-11-25 00:41:55 main:581] : INFO : Epoch 69 | loss: 0.0311392 | val_loss: 0.0311609 | Time: 1971.03 ms [2020-11-25 00:41:57 main:581] : INFO : Epoch 70 | loss: 0.0311351 | val_loss: 0.0311598 | Time: 2017.56 ms [2020-11-25 00:41:59 main:581] : INFO : Epoch 71 | loss: 0.0311305 | val_loss: 0.0311592 | Time: 2011.12 ms [2020-11-25 00:42:01 main:581] : INFO : Epoch 72 | loss: 0.0311277 | val_loss: 0.0311591 | Time: 1951.99 ms [2020-11-25 00:42:03 main:581] : INFO : Epoch 73 | loss: 0.0311264 | val_loss: 0.0311568 | Time: 2001.31 ms [2020-11-25 00:42:05 main:581] : INFO : Epoch 74 | loss: 0.0311253 | val_loss: 0.0311566 | Time: 1966.18 ms [2020-11-25 00:42:07 main:581] : INFO : Epoch 75 | loss: 0.0311259 | val_loss: 0.0311588 | Time: 1989.69 ms [2020-11-25 00:42:09 main:581] : INFO : Epoch 76 | loss: 0.0311243 | val_loss: 0.0311616 | Time: 1991.16 ms [2020-11-25 00:42:11 main:581] : INFO : Epoch 77 | loss: 0.0311307 | val_loss: 0.0311642 | Time: 1983.26 ms [2020-11-25 00:42:13 main:581] : INFO : Epoch 78 | loss: 0.0311311 | val_loss: 0.0311565 | Time: 2034.28 ms [2020-11-25 00:42:15 main:581] : INFO : Epoch 79 | loss: 0.0311253 | val_loss: 0.0311582 | Time: 1947.89 ms [2020-11-25 00:42:17 main:581] : INFO : Epoch 80 | loss: 0.0311237 | val_loss: 0.0311597 | Time: 1978.98 ms [2020-11-25 00:42:19 main:581] : INFO : Epoch 81 | loss: 0.0311242 | val_loss: 0.0311562 | Time: 1997.86 ms [2020-11-25 00:42:21 main:581] : INFO : Epoch 82 | loss: 0.0311234 | val_loss: 0.0311589 | Time: 2001.13 ms [2020-11-25 00:42:23 main:581] : INFO : Epoch 83 | loss: 0.0311257 | val_loss: 0.0311566 | Time: 2005.68 ms [2020-11-25 00:42:25 main:581] : INFO : Epoch 84 | loss: 0.0311217 | val_loss: 0.0311605 | Time: 2026.23 ms [2020-11-25 00:42:27 main:581] : INFO : Epoch 85 | loss: 0.0311191 | val_loss: 0.0311593 | Time: 1925.36 ms [2020-11-25 00:42:29 main:581] : INFO : Epoch 86 | loss: 0.031119 | val_loss: 0.0311609 | Time: 1893.86 ms [2020-11-25 00:42:31 main:581] : INFO : Epoch 87 | loss: 0.031126 | val_loss: 0.0311553 | Time: 1931.03 ms [2020-11-25 00:42:33 main:581] : INFO : Epoch 88 | loss: 0.0311273 | val_loss: 0.0311567 | Time: 2009.27 ms [2020-11-25 00:42:35 main:581] : INFO : Epoch 89 | loss: 0.0311244 | val_loss: 0.0311579 | Time: 1975.8 ms [2020-11-25 00:42:37 main:581] : INFO : Epoch 90 | loss: 0.0311211 | val_loss: 0.0311554 | Time: 1874.31 ms [2020-11-25 00:42:39 main:581] : INFO : Epoch 91 | loss: 0.0311206 | val_loss: 0.0311592 | Time: 1910.51 ms [2020-11-25 00:42:40 main:581] : INFO : Epoch 92 | loss: 0.0311216 | val_loss: 0.0311529 | Time: 1923.13 ms [2020-11-25 00:42:42 main:581] : INFO : Epoch 93 | loss: 0.0311253 | val_loss: 0.0311569 | Time: 1954.89 ms [2020-11-25 00:42:44 main:581] : INFO : Epoch 94 | loss: 0.0311208 | val_loss: 0.0311583 | Time: 1857.03 ms [2020-11-25 00:42:46 main:581] : INFO : Epoch 95 | loss: 0.0311182 | val_loss: 0.0311609 | Time: 1949 ms [2020-11-25 00:42:48 main:581] : INFO : Epoch 96 | loss: 0.0311148 | val_loss: 0.0311609 | Time: 1950.21 ms [2020-11-25 00:42:50 main:581] : INFO : Epoch 97 | loss: 0.0311144 | val_loss: 0.0311627 | Time: 1952.48 ms [2020-11-25 00:42:52 main:581] : INFO : Epoch 98 | loss: 0.0311131 | val_loss: 0.0311571 | Time: 1973.78 ms [2020-11-25 00:42:54 main:581] : INFO : Epoch 99 | loss: 0.031111 | val_loss: 0.03116 | Time: 1983.09 ms [2020-11-25 00:42:56 main:581] : INFO : Epoch 100 | loss: 0.0311129 | val_loss: 0.0311615 | Time: 1972.38 ms [2020-11-25 00:42:58 main:581] : INFO : Epoch 101 | loss: 0.0311126 | val_loss: 0.0311564 | Time: 1972.36 ms [2020-11-25 00:43:00 main:581] : INFO : Epoch 102 | loss: 0.0311142 | val_loss: 0.0311595 | Time: 1880.49 ms [2020-11-25 00:43:02 main:581] : INFO : Epoch 103 | loss: 0.0311141 | val_loss: 0.0311578 | Time: 1962.36 ms [2020-11-25 00:43:04 main:581] : INFO : Epoch 104 | loss: 0.031118 | val_loss: 0.0311601 | Time: 1951.71 ms [2020-11-25 00:43:06 main:581] : INFO : Epoch 105 | loss: 0.0311155 | val_loss: 0.031164 | Time: 2010.12 ms [2020-11-25 00:43:08 main:581] : INFO : Epoch 106 | loss: 0.031114 | val_loss: 0.0311577 | Time: 1950.91 ms [2020-11-25 00:43:10 main:581] : INFO : Epoch 107 | loss: 0.0311157 | val_loss: 0.0311647 | Time: 1899.84 ms [2020-11-25 00:43:12 main:581] : INFO : Epoch 108 | loss: 0.0311116 | val_loss: 0.0311579 | Time: 1900.45 ms [2020-11-25 00:43:14 main:581] : INFO : Epoch 109 | loss: 0.0311108 | val_loss: 0.0311632 | Time: 1958.82 ms [2020-11-25 00:43:16 main:581] : INFO : Epoch 110 | loss: 0.0311118 | val_loss: 0.0311597 | Time: 1968.14 ms [2020-11-25 00:43:18 main:581] : INFO : Epoch 111 | loss: 0.0311115 | val_loss: 0.0311583 | Time: 2016.31 ms [2020-11-25 00:43:20 main:581] : INFO : Epoch 112 | loss: 0.0311125 | val_loss: 0.0311615 | Time: 1955.27 ms [2020-11-25 00:43:22 main:581] : INFO : Epoch 113 | loss: 0.0311308 | val_loss: 0.031166 | Time: 1998.18 ms [2020-11-25 00:43:23 main:581] : INFO : Epoch 114 | loss: 0.0311383 | val_loss: 0.0311567 | Time: 1960.62 ms [2020-11-25 00:43:26 main:581] : INFO : Epoch 115 | loss: 0.0311322 | val_loss: 0.0311524 | Time: 2024.43 ms [2020-11-25 00:43:28 main:581] : INFO : Epoch 116 | loss: 0.0311251 | val_loss: 0.031153 | Time: 2000.07 ms [2020-11-25 00:43:29 main:581] : INFO : Epoch 117 | loss: 0.0311213 | val_loss: 0.0311513 | Time: 1892.7 ms [2020-11-25 00:43:31 main:581] : INFO : Epoch 118 | loss: 0.0311258 | val_loss: 0.0311509 | Time: 2001.98 ms [2020-11-25 00:43:33 main:581] : INFO : Epoch 119 | loss: 0.0311207 | val_loss: 0.031154 | Time: 1938.95 ms [2020-11-25 00:43:35 main:581] : INFO : Epoch 120 | loss: 0.0311146 | val_loss: 0.0311544 | Time: 1992.4 ms [2020-11-25 00:43:37 main:581] : INFO : Epoch 121 | loss: 0.0311162 | val_loss: 0.0311534 | Time: 1949.6 ms [2020-11-25 00:43:39 main:581] : INFO : Epoch 122 | loss: 0.0311135 | val_loss: 0.0311574 | Time: 2010.55 ms [2020-11-25 00:43:41 main:581] : INFO : Epoch 123 | loss: 0.0311145 | val_loss: 0.0311594 | Time: 2025.81 ms [2020-11-25 00:43:43 main:581] : INFO : Epoch 124 | loss: 0.0311116 | val_loss: 0.0311672 | Time: 1927.84 ms [2020-11-25 00:43:45 main:581] : INFO : Epoch 125 | loss: 0.0311114 | val_loss: 0.0311563 | Time: 1959.16 ms [2020-11-25 00:43:47 main:581] : INFO : Epoch 126 | loss: 0.031111 | val_loss: 0.0311648 | Time: 1985.11 ms [2020-11-25 00:43:49 main:581] : INFO : Epoch 127 | loss: 0.0311089 | val_loss: 0.0311597 | Time: 1966.12 ms [2020-11-25 00:43:51 main:581] : INFO : Epoch 128 | loss: 0.0311063 | val_loss: 0.0311635 | Time: 2081.65 ms [2020-11-25 00:43:51 main:604] : INFO : Saving trained model to model-final.pt, val_loss 0.0311635 [2020-11-25 00:43:51 main:610] : INFO : Saving end state to config to file [2020-11-25 00:43:51 main:615] : INFO : Success, exiting.. 00:43:51 (10005): 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)