Task 3053378
| Name | ParityModified-1606097356-5999-10_0 |
| Workunit | 1385446 |
| Created | 24 Nov 2020, 20:48:43 UTC |
| Sent | 24 Nov 2020, 21:01:49 UTC |
| Report deadline | 1 Dec 2020, 21:01:49 UTC |
| Received | 24 Nov 2020, 21:06:45 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 4754 |
| Run time | 4 min 16 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 | 2.33 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 16:02:19 main:442] : INFO : Set logging level to 1 [2020-11-24 16:02:19 main:448] : INFO : Running in BOINC Client mode [2020-11-24 16:02:19 main:451] : INFO : Resolving all filenames [2020-11-24 16:02:19 main:459] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 (exists = 1) [2020-11-24 16:02:19 main:459] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1606097356-5999-10_0_r635107778_1 (exists = 0) [2020-11-24 16:02:19 main:459] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1606097356-5999-10_0_r635107778_0 (exists = 0) [2020-11-24 16:02:19 main:459] : INFO : Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1606097356-5999-10 (exists = 1) [2020-11-24 16:02:19 main:459] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-24 16:02:19 main:479] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 [2020-11-24 16:02:19 main:481] : INFO : Configuration: [2020-11-24 16:02:19 main:482] : INFO : Model type: GRU [2020-11-24 16:02:19 main:483] : INFO : Validation Loss Threshold: 0.0001 [2020-11-24 16:02:19 main:484] : INFO : Max Epochs: 128 [2020-11-24 16:02:19 main:485] : INFO : Batch Size: 128 [2020-11-24 16:02:19 main:486] : INFO : Learning Rate: 0.01 [2020-11-24 16:02:19 main:487] : INFO : Patience: 10 [2020-11-24 16:02:19 main:488] : INFO : Hidden Width: 12 [2020-11-24 16:02:19 main:489] : INFO : # Recurrent Layers: 4 [2020-11-24 16:02:19 main:490] : INFO : # Backend Layers: 4 [2020-11-24 16:02:19 main:491] : INFO : # Threads: 1 [2020-11-24 16:02:19 main:493] : INFO : Preparing Dataset [2020-11-24 16:02:19 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 16:02:20 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 16:02:22 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2020-11-24 16:02:22 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 16:02:22 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 16:02:23 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-24 16:02:23 main:501] : INFO : Creating Model [2020-11-24 16:02:23 main:514] : INFO : Preparing config file [2020-11-24 16:02:23 main:526] : INFO : Creating new config file [2020-11-24 16:02:23 main:545] : INFO : This is a continuation WU, loading previous network [2020-11-24 16:02:23 main:566] : INFO : Loading DataLoader into Memory [2020-11-24 16:02:23 main:569] : INFO : Starting Training [2020-11-24 16:02:26 main:581] : INFO : Epoch 1 | loss: 0.0311383 | val_loss: 0.0312363 | Time: 2677.53 ms [2020-11-24 16:02:28 main:581] : INFO : Epoch 2 | loss: 0.0310925 | val_loss: 0.0312257 | Time: 1937.37 ms [2020-11-24 16:02:29 main:581] : INFO : Epoch 3 | loss: 0.0310692 | val_loss: 0.0312177 | Time: 1853.35 ms [2020-11-24 16:02:31 main:581] : INFO : Epoch 4 | loss: 0.0310607 | val_loss: 0.031222 | Time: 1944.66 ms [2020-11-24 16:02:33 main:581] : INFO : Epoch 5 | loss: 0.0310635 | val_loss: 0.0312327 | Time: 1851.01 ms [2020-11-24 16:02:35 main:581] : INFO : Epoch 6 | loss: 0.0310586 | val_loss: 0.031222 | Time: 1966.23 ms [2020-11-24 16:02:37 main:581] : INFO : Epoch 7 | loss: 0.0310522 | val_loss: 0.0312356 | Time: 2003.67 ms [2020-11-24 16:02:39 main:581] : INFO : Epoch 8 | loss: 0.0310485 | val_loss: 0.0312175 | Time: 2001.52 ms [2020-11-24 16:02:41 main:581] : INFO : Epoch 9 | loss: 0.0310477 | val_loss: 0.0312152 | Time: 1914.11 ms [2020-11-24 16:02:43 main:581] : INFO : Epoch 10 | loss: 0.0310515 | val_loss: 0.0312291 | Time: 1785.52 ms [2020-11-24 16:02:45 main:581] : INFO : Epoch 11 | loss: 0.0310514 | val_loss: 0.0312338 | Time: 2025.15 ms [2020-11-24 16:02:47 main:581] : INFO : Epoch 12 | loss: 0.0310575 | val_loss: 0.0312191 | Time: 1869.25 ms [2020-11-24 16:02:49 main:581] : INFO : Epoch 13 | loss: 0.031054 | val_loss: 0.0312348 | Time: 1979.31 ms [2020-11-24 16:02:51 main:581] : INFO : Epoch 14 | loss: 0.0310503 | val_loss: 0.0312373 | Time: 2118.46 ms [2020-11-24 16:02:53 main:581] : INFO : Epoch 15 | loss: 0.0310515 | val_loss: 0.0312347 | Time: 2042.23 ms [2020-11-24 16:02:55 main:581] : INFO : Epoch 16 | loss: 0.031064 | val_loss: 0.0312236 | Time: 1813.16 ms [2020-11-24 16:02:57 main:581] : INFO : Epoch 17 | loss: 0.0310602 | val_loss: 0.0312199 | Time: 1962.04 ms [2020-11-24 16:02:59 main:581] : INFO : Epoch 18 | loss: 0.031056 | val_loss: 0.0312306 | Time: 1918.13 ms [2020-11-24 16:03:01 main:581] : INFO : Epoch 19 | loss: 0.0310597 | val_loss: 0.0312275 | Time: 1952.93 ms [2020-11-24 16:03:02 main:581] : INFO : Epoch 20 | loss: 0.0310467 | val_loss: 0.0312353 | Time: 1855.01 ms [2020-11-24 16:03:04 main:581] : INFO : Epoch 21 | loss: 0.0310456 | val_loss: 0.0312261 | Time: 1915.8 ms [2020-11-24 16:03:06 main:581] : INFO : Epoch 22 | loss: 0.0310431 | val_loss: 0.031226 | Time: 2021.4 ms [2020-11-24 16:03:08 main:581] : INFO : Epoch 23 | loss: 0.0310595 | val_loss: 0.0312166 | Time: 1891.56 ms [2020-11-24 16:03:10 main:581] : INFO : Epoch 24 | loss: 0.031074 | val_loss: 0.0312194 | Time: 1869.11 ms [2020-11-24 16:03:12 main:581] : INFO : Epoch 25 | loss: 0.0310651 | val_loss: 0.031216 | Time: 1934.21 ms [2020-11-24 16:03:14 main:581] : INFO : Epoch 26 | loss: 0.0310779 | val_loss: 0.0312282 | Time: 1936.63 ms [2020-11-24 16:03:16 main:581] : INFO : Epoch 27 | loss: 0.0310708 | val_loss: 0.0312406 | Time: 1926.13 ms [2020-11-24 16:03:18 main:581] : INFO : Epoch 28 | loss: 0.0310624 | val_loss: 0.0312364 | Time: 1728.4 ms [2020-11-24 16:03:19 main:581] : INFO : Epoch 29 | loss: 0.0310526 | val_loss: 0.0312252 | Time: 1737.28 ms [2020-11-24 16:03:21 main:581] : INFO : Epoch 30 | loss: 0.0310614 | val_loss: 0.0312304 | Time: 1981.03 ms [2020-11-24 16:03:23 main:581] : INFO : Epoch 31 | loss: 0.031051 | val_loss: 0.0312283 | Time: 1895.41 ms [2020-11-24 16:03:25 main:581] : INFO : Epoch 32 | loss: 0.031052 | val_loss: 0.0312251 | Time: 1960.39 ms [2020-11-24 16:03:27 main:581] : INFO : Epoch 33 | loss: 0.0310559 | val_loss: 0.0312309 | Time: 2015.85 ms [2020-11-24 16:03:29 main:581] : INFO : Epoch 34 | loss: 0.031057 | val_loss: 0.0312254 | Time: 1919.36 ms [2020-11-24 16:03:31 main:581] : INFO : Epoch 35 | loss: 0.0310497 | val_loss: 0.0312184 | Time: 1917.09 ms [2020-11-24 16:03:33 main:581] : INFO : Epoch 36 | loss: 0.0310492 | val_loss: 0.0312184 | Time: 2000.4 ms [2020-11-24 16:03:35 main:581] : INFO : Epoch 37 | loss: 0.0310554 | val_loss: 0.0312222 | Time: 1804.63 ms [2020-11-24 16:03:37 main:581] : INFO : Epoch 38 | loss: 0.0310536 | val_loss: 0.0312333 | Time: 1877.64 ms [2020-11-24 16:03:39 main:581] : INFO : Epoch 39 | loss: 0.0310591 | val_loss: 0.0312101 | Time: 2035.35 ms [2020-11-24 16:03:41 main:581] : INFO : Epoch 40 | loss: 0.0310586 | val_loss: 0.0312148 | Time: 2040.19 ms [2020-11-24 16:03:43 main:581] : INFO : Epoch 41 | loss: 0.0310698 | val_loss: 0.0312225 | Time: 2020.5 ms [2020-11-24 16:03:45 main:581] : INFO : Epoch 42 | loss: 0.0310546 | val_loss: 0.0312175 | Time: 2043.05 ms [2020-11-24 16:03:47 main:581] : INFO : Epoch 43 | loss: 0.0310585 | val_loss: 0.0312304 | Time: 2041.51 ms [2020-11-24 16:03:49 main:581] : INFO : Epoch 44 | loss: 0.031049 | val_loss: 0.031221 | Time: 2035.76 ms [2020-11-24 16:03:51 main:581] : INFO : Epoch 45 | loss: 0.0310505 | val_loss: 0.0312419 | Time: 1868.65 ms [2020-11-24 16:03:53 main:581] : INFO : Epoch 46 | loss: 0.0310433 | val_loss: 0.0312274 | Time: 1974.34 ms [2020-11-24 16:03:55 main:581] : INFO : Epoch 47 | loss: 0.0310447 | val_loss: 0.0312227 | Time: 1886.35 ms [2020-11-24 16:03:57 main:581] : INFO : Epoch 48 | loss: 0.0310439 | val_loss: 0.0312338 | Time: 1866.17 ms [2020-11-24 16:03:58 main:581] : INFO : Epoch 49 | loss: 0.0310455 | val_loss: 0.0312424 | Time: 1826.03 ms [2020-11-24 16:04:00 main:581] : INFO : Epoch 50 | loss: 0.0310577 | val_loss: 0.0312219 | Time: 1989.43 ms [2020-11-24 16:04:02 main:581] : INFO : Epoch 51 | loss: 0.0310721 | val_loss: 0.0312218 | Time: 2010.73 ms [2020-11-24 16:04:04 main:581] : INFO : Epoch 52 | loss: 0.0310646 | val_loss: 0.0312286 | Time: 1999.69 ms [2020-11-24 16:04:06 main:581] : INFO : Epoch 53 | loss: 0.0310615 | val_loss: 0.0312137 | Time: 2029.93 ms [2020-11-24 16:04:08 main:581] : INFO : Epoch 54 | loss: 0.0310504 | val_loss: 0.031228 | Time: 1846.62 ms [2020-11-24 16:04:10 main:581] : INFO : Epoch 55 | loss: 0.031046 | val_loss: 0.0312345 | Time: 1982.68 ms [2020-11-24 16:04:12 main:581] : INFO : Epoch 56 | loss: 0.0310438 | val_loss: 0.0312342 | Time: 1948.07 ms [2020-11-24 16:04:14 main:581] : INFO : Epoch 57 | loss: 0.0310421 | val_loss: 0.0312277 | Time: 1992.96 ms [2020-11-24 16:04:16 main:581] : INFO : Epoch 58 | loss: 0.0310444 | val_loss: 0.0312131 | Time: 2038.2 ms [2020-11-24 16:04:18 main:581] : INFO : Epoch 59 | loss: 0.0310635 | val_loss: 0.03121 | Time: 1856.67 ms [2020-11-24 16:04:20 main:581] : INFO : Epoch 60 | loss: 0.031071 | val_loss: 0.0312311 | Time: 1990 ms [2020-11-24 16:04:22 main:581] : INFO : Epoch 61 | loss: 0.031057 | val_loss: 0.031224 | Time: 1959.87 ms [2020-11-24 16:04:24 main:581] : INFO : Epoch 62 | loss: 0.031051 | val_loss: 0.0312172 | Time: 1977.21 ms [2020-11-24 16:04:26 main:581] : INFO : Epoch 63 | loss: 0.0310563 | val_loss: 0.0312171 | Time: 2015.09 ms [2020-11-24 16:04:28 main:581] : INFO : Epoch 64 | loss: 0.031058 | val_loss: 0.0312361 | Time: 1985.65 ms [2020-11-24 16:04:30 main:581] : INFO : Epoch 65 | loss: 0.0310494 | val_loss: 0.0312359 | Time: 2043.84 ms [2020-11-24 16:04:32 main:581] : INFO : Epoch 66 | loss: 0.0310501 | val_loss: 0.0312477 | Time: 1933.21 ms [2020-11-24 16:04:34 main:581] : INFO : Epoch 67 | loss: 0.0310531 | val_loss: 0.0312301 | Time: 1992.71 ms [2020-11-24 16:04:36 main:581] : INFO : Epoch 68 | loss: 0.0310493 | val_loss: 0.0312406 | Time: 1956.57 ms [2020-11-24 16:04:38 main:581] : INFO : Epoch 69 | loss: 0.0310503 | val_loss: 0.0312251 | Time: 1969.01 ms [2020-11-24 16:04:40 main:581] : INFO : Epoch 70 | loss: 0.0310509 | val_loss: 0.0312311 | Time: 1974.28 ms [2020-11-24 16:04:42 main:581] : INFO : Epoch 71 | loss: 0.031043 | val_loss: 0.03124 | Time: 1971.62 ms [2020-11-24 16:04:44 main:581] : INFO : Epoch 72 | loss: 0.0310513 | val_loss: 0.0312225 | Time: 1851.35 ms [2020-11-24 16:04:46 main:581] : INFO : Epoch 73 | loss: 0.0311073 | val_loss: 0.0312139 | Time: 1953.06 ms [2020-11-24 16:04:48 main:581] : INFO : Epoch 74 | loss: 0.0312085 | val_loss: 0.0312074 | Time: 1818.8 ms [2020-11-24 16:04:49 main:581] : INFO : Epoch 75 | loss: 0.0312258 | val_loss: 0.0311999 | Time: 1881.75 ms [2020-11-24 16:04:51 main:581] : INFO : Epoch 76 | loss: 0.0312314 | val_loss: 0.0312821 | Time: 1910.91 ms [2020-11-24 16:04:53 main:581] : INFO : Epoch 77 | loss: 0.0312125 | val_loss: 0.0311721 | Time: 1912.23 ms [2020-11-24 16:04:55 main:581] : INFO : Epoch 78 | loss: 0.0311687 | val_loss: 0.0311646 | Time: 1898.4 ms [2020-11-24 16:04:57 main:581] : INFO : Epoch 79 | loss: 0.0311612 | val_loss: 0.0311652 | Time: 1970.41 ms [2020-11-24 16:04:59 main:581] : INFO : Epoch 80 | loss: 0.0311553 | val_loss: 0.0311708 | Time: 1994.36 ms [2020-11-24 16:05:01 main:581] : INFO : Epoch 81 | loss: 0.0311513 | val_loss: 0.0311589 | Time: 2046.66 ms [2020-11-24 16:05:03 main:581] : INFO : Epoch 82 | loss: 0.0311462 | val_loss: 0.0311581 | Time: 2022.29 ms [2020-11-24 16:05:05 main:581] : INFO : Epoch 83 | loss: 0.031144 | val_loss: 0.0311578 | Time: 1969.17 ms [2020-11-24 16:05:07 main:581] : INFO : Epoch 84 | loss: 0.0311428 | val_loss: 0.0311579 | Time: 2004.08 ms [2020-11-24 16:05:09 main:581] : INFO : Epoch 85 | loss: 0.0311405 | val_loss: 0.0311591 | Time: 1929.59 ms [2020-11-24 16:05:11 main:581] : INFO : Epoch 86 | loss: 0.0311403 | val_loss: 0.0311644 | Time: 1996.75 ms [2020-11-24 16:05:13 main:581] : INFO : Epoch 87 | loss: 0.0311383 | val_loss: 0.0311592 | Time: 1863.41 ms [2020-11-24 16:05:15 main:581] : INFO : Epoch 88 | loss: 0.031136 | val_loss: 0.0311634 | Time: 2026.74 ms [2020-11-24 16:05:17 main:581] : INFO : Epoch 89 | loss: 0.0311361 | val_loss: 0.0311607 | Time: 2030.48 ms [2020-11-24 16:05:19 main:581] : INFO : Epoch 90 | loss: 0.0311333 | val_loss: 0.0311608 | Time: 1985.66 ms [2020-11-24 16:05:21 main:581] : INFO : Epoch 91 | loss: 0.0311332 | val_loss: 0.0311635 | Time: 1944.31 ms [2020-11-24 16:05:23 main:581] : INFO : Epoch 92 | loss: 0.0311323 | val_loss: 0.0311655 | Time: 1890.59 ms [2020-11-24 16:05:25 main:581] : INFO : Epoch 93 | loss: 0.0311325 | val_loss: 0.031163 | Time: 1886.73 ms [2020-11-24 16:05:27 main:581] : INFO : Epoch 94 | loss: 0.0311298 | val_loss: 0.0311651 | Time: 2007 ms [2020-11-24 16:05:29 main:581] : INFO : Epoch 95 | loss: 0.0311303 | val_loss: 0.0311617 | Time: 1980.95 ms [2020-11-24 16:05:31 main:581] : INFO : Epoch 96 | loss: 0.0311281 | val_loss: 0.0311621 | Time: 1877.12 ms [2020-11-24 16:05:33 main:581] : INFO : Epoch 97 | loss: 0.0311275 | val_loss: 0.0311657 | Time: 1955.92 ms [2020-11-24 16:05:34 main:581] : INFO : Epoch 98 | loss: 0.0311285 | val_loss: 0.031164 | Time: 1839.73 ms [2020-11-24 16:05:36 main:581] : INFO : Epoch 99 | loss: 0.0311269 | val_loss: 0.0311662 | Time: 1672.65 ms [2020-11-24 16:05:38 main:581] : INFO : Epoch 100 | loss: 0.0311273 | val_loss: 0.0311693 | Time: 1806.33 ms [2020-11-24 16:05:40 main:581] : INFO : Epoch 101 | loss: 0.0311274 | val_loss: 0.0311643 | Time: 1935.68 ms [2020-11-24 16:05:42 main:581] : INFO : Epoch 102 | loss: 0.031125 | val_loss: 0.0311662 | Time: 1963.25 ms [2020-11-24 16:05:44 main:581] : INFO : Epoch 103 | loss: 0.0311235 | val_loss: 0.0311669 | Time: 2063.12 ms [2020-11-24 16:05:46 main:581] : INFO : Epoch 104 | loss: 0.0311232 | val_loss: 0.0311677 | Time: 1995.54 ms [2020-11-24 16:05:48 main:581] : INFO : Epoch 105 | loss: 0.0311281 | val_loss: 0.0311775 | Time: 2009.61 ms [2020-11-24 16:05:50 main:581] : INFO : Epoch 106 | loss: 0.0311282 | val_loss: 0.031176 | Time: 1928.96 ms [2020-11-24 16:05:52 main:581] : INFO : Epoch 107 | loss: 0.0311246 | val_loss: 0.0311707 | Time: 2015.58 ms [2020-11-24 16:05:54 main:581] : INFO : Epoch 108 | loss: 0.0311206 | val_loss: 0.0311684 | Time: 1900.04 ms [2020-11-24 16:05:56 main:581] : INFO : Epoch 109 | loss: 0.0311202 | val_loss: 0.0311682 | Time: 1927.9 ms [2020-11-24 16:05:58 main:581] : INFO : Epoch 110 | loss: 0.0311223 | val_loss: 0.0311684 | Time: 1946.07 ms [2020-11-24 16:05:59 main:581] : INFO : Epoch 111 | loss: 0.0311245 | val_loss: 0.0311678 | Time: 1905.76 ms [2020-11-24 16:06:02 main:581] : INFO : Epoch 112 | loss: 0.0311198 | val_loss: 0.0311689 | Time: 2055.93 ms [2020-11-24 16:06:04 main:581] : INFO : Epoch 113 | loss: 0.0311167 | val_loss: 0.0311757 | Time: 2017.99 ms [2020-11-24 16:06:06 main:581] : INFO : Epoch 114 | loss: 0.0311179 | val_loss: 0.0311773 | Time: 2003.34 ms [2020-11-24 16:06:07 main:581] : INFO : Epoch 115 | loss: 0.0311178 | val_loss: 0.0311766 | Time: 1871.61 ms [2020-11-24 16:06:09 main:581] : INFO : Epoch 116 | loss: 0.0311178 | val_loss: 0.0311728 | Time: 1951.92 ms [2020-11-24 16:06:11 main:581] : INFO : Epoch 117 | loss: 0.0311185 | val_loss: 0.0311755 | Time: 1982.88 ms [2020-11-24 16:06:13 main:581] : INFO : Epoch 118 | loss: 0.0311164 | val_loss: 0.0311727 | Time: 2014.39 ms [2020-11-24 16:06:15 main:581] : INFO : Epoch 119 | loss: 0.0311162 | val_loss: 0.0311743 | Time: 2018.04 ms [2020-11-24 16:06:17 main:581] : INFO : Epoch 120 | loss: 0.0311156 | val_loss: 0.0311726 | Time: 2031.61 ms [2020-11-24 16:06:19 main:581] : INFO : Epoch 121 | loss: 0.0311181 | val_loss: 0.0311764 | Time: 1938.33 ms [2020-11-24 16:06:21 main:581] : INFO : Epoch 122 | loss: 0.0311233 | val_loss: 0.0311717 | Time: 1994.64 ms [2020-11-24 16:06:23 main:581] : INFO : Epoch 123 | loss: 0.0311242 | val_loss: 0.0311773 | Time: 1884.44 ms [2020-11-24 16:06:25 main:581] : INFO : Epoch 124 | loss: 0.0311227 | val_loss: 0.0311819 | Time: 1981.23 ms [2020-11-24 16:06:27 main:581] : INFO : Epoch 125 | loss: 0.0311219 | val_loss: 0.0311804 | Time: 1897.54 ms [2020-11-24 16:06:29 main:581] : INFO : Epoch 126 | loss: 0.031115 | val_loss: 0.0311756 | Time: 1932.83 ms [2020-11-24 16:06:31 main:581] : INFO : Epoch 127 | loss: 0.0311125 | val_loss: 0.0311792 | Time: 2055.66 ms [2020-11-24 16:06:33 main:581] : INFO : Epoch 128 | loss: 0.0311118 | val_loss: 0.0311777 | Time: 2006.73 ms [2020-11-24 16:06:33 main:604] : INFO : Saving trained model to model-final.pt, val_loss 0.0311777 [2020-11-24 16:06:33 main:610] : INFO : Saving end state to config to file [2020-11-24 16:06:33 main:615] : INFO : Success, exiting.. 16:06:33 (8963): 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)