| Name | ParityModified-1607233776-3738-67_0 |
| Workunit | 3079225 |
| Created | 1 May 2021, 4:38:33 UTC |
| Sent | 1 May 2021, 4:38:52 UTC |
| Report deadline | 8 May 2021, 4:38:52 UTC |
| Received | 1 May 2021, 17:45:11 UTC |
| Server state | Over |
| Outcome | Validate error |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 11158 |
| Run time | 55 min 46 sec |
| CPU time | |
| Validate state | Invalid |
| Credit | 0.00 |
| Device peak FLOPS | 13,837.92 GFLOPS |
| Application version | Machine Learning Dataset Generator (test) v9.80 (amdrocm) x86_64-pc-linux-gnu |
| Peak working set size | 1.66 GB |
| Peak swap size | 8.35 GB |
| Peak disk usage | 2.25 GB |
<core_client_version>7.16.6</core_client_version> <![CDATA[ <stderr_txt> DEBUG: Args: ../../projects/www.mlcathome.org_mlcathome/mlds-gpu_9.80_x86_64-pc-linux-gnu__rocm -c --maxepoch 128 nthreads: 1 gpudev: 0 Re-exec()-ing to set environment correctly 23:31:37 (11581): start_timer_thread(): pthread_create(): 22Machine Learning Dataset Generator v9.80 (Linux/x86_64) (libTorch: release/1.7 GPU: Vega 20 [Radeon VII]) [2021-04-30 23:31:37 main:442] : INFO : Set logging level to 1 [2021-04-30 23:31:37 main:448] : INFO : Running in BOINC Client mode [2021-04-30 23:31:37 main:451] : INFO : Resolving all filenames [2021-04-30 23:31:37 main:459] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 (exists = 1) [2021-04-30 23:31:37 main:459] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1607233776-3738-67_0_r172030877_1 (exists = 0) [2021-04-30 23:31:37 main:459] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1607233776-3738-67_0_r172030877_0 (exists = 0) [2021-04-30 23:31:37 main:459] : INFO : Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1607233776-3738-67 (exists = 1) [2021-04-30 23:31:37 main:459] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2021-04-30 23:31:37 main:479] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 [2021-04-30 23:31:37 main:481] : INFO : Configuration: [2021-04-30 23:31:37 main:482] : INFO : Model type: GRU [2021-04-30 23:31:37 main:483] : INFO : Validation Loss Threshold: 0.0001 [2021-04-30 23:31:37 main:484] : INFO : Max Epochs: 128 [2021-04-30 23:31:37 main:485] : INFO : Batch Size: 128 [2021-04-30 23:31:37 main:486] : INFO : Learning Rate: 0.01 [2021-04-30 23:31:37 main:487] : INFO : Patience: 10 [2021-04-30 23:31:37 main:488] : INFO : Hidden Width: 12 [2021-04-30 23:31:37 main:489] : INFO : # Recurrent Layers: 4 [2021-04-30 23:31:37 main:490] : INFO : # Backend Layers: 4 [2021-04-30 23:31:37 main:491] : INFO : # Threads: 1 [2021-04-30 23:31:37 main:493] : INFO : Preparing Dataset [2021-04-30 23:31:37 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-04-30 23:31:38 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-04-30 23:31:39 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2021-04-30 23:31:39 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-04-30 23:31:39 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-04-30 23:31:39 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2021-04-30 23:31:39 main:501] : INFO : Creating Model [2021-04-30 23:31:39 main:514] : INFO : Preparing config file [2021-04-30 23:31:39 main:526] : INFO : Creating new config file [2021-04-30 23:31:39 main:545] : INFO : This is a continuation WU, loading previous network [2021-04-30 23:31:39 main:566] : INFO : Loading DataLoader into Memory [2021-04-30 23:31:39 main:569] : INFO : Starting Training [2021-04-30 23:32:21 main:581] : INFO : Epoch 1 | loss: 0.0311258 | val_loss: 0.0311539 | Time: 41607.8 ms [2021-04-30 23:32:46 main:581] : INFO : Epoch 2 | loss: 0.031104 | val_loss: 0.0311439 | Time: 25142.4 ms [2021-04-30 23:33:14 main:581] : INFO : Epoch 3 | loss: 0.0310995 | val_loss: 0.0311383 | Time: 27763.8 ms [2021-04-30 23:33:37 main:581] : INFO : Epoch 4 | loss: 0.0310984 | val_loss: 0.031142 | Time: 22807.9 ms [2021-04-30 23:34:00 main:581] : INFO : Epoch 5 | loss: 0.0310963 | val_loss: 0.0311413 | Time: 22973.3 ms [2021-04-30 23:34:27 main:581] : INFO : Epoch 6 | loss: 0.0310982 | val_loss: 0.0311382 | Time: 27698.4 ms [2021-04-30 23:34:55 main:581] : INFO : Epoch 7 | loss: 0.0311044 | val_loss: 0.0311389 | Time: 27713.8 ms [2021-04-30 23:35:22 main:581] : INFO : Epoch 8 | loss: 0.0311039 | val_loss: 0.0311399 | Time: 27225.9 ms [2021-04-30 23:35:49 main:581] : INFO : Epoch 9 | loss: 0.0311017 | val_loss: 0.0311375 | Time: 26624.8 ms [2021-04-30 23:36:14 main:581] : INFO : Epoch 10 | loss: 0.0310998 | val_loss: 0.0311408 | Time: 25227.6 ms [2021-04-30 23:36:39 main:581] : INFO : Epoch 11 | loss: 0.0311008 | val_loss: 0.0311365 | Time: 25119.7 ms [2021-04-30 23:37:07 main:581] : INFO : Epoch 12 | loss: 0.0311004 | val_loss: 0.0311372 | Time: 27449.3 ms [2021-04-30 23:37:34 main:581] : INFO : Epoch 13 | loss: 0.0311 | val_loss: 0.0311391 | Time: 27187.8 ms [2021-04-30 23:37:57 main:581] : INFO : Epoch 14 | loss: 0.0311053 | val_loss: 0.031139 | Time: 22857.4 ms [2021-04-30 23:38:18 main:581] : INFO : Epoch 15 | loss: 0.0311072 | val_loss: 0.0311365 | Time: 21133.2 ms [2021-04-30 23:38:46 main:581] : INFO : Epoch 16 | loss: 0.031102 | val_loss: 0.0311374 | Time: 28309 ms [2021-04-30 23:39:08 main:581] : INFO : Epoch 17 | loss: 0.0311011 | val_loss: 0.0311352 | Time: 21566 ms [2021-04-30 23:39:35 main:581] : INFO : Epoch 18 | loss: 0.0311023 | val_loss: 0.0311373 | Time: 27045.6 ms [2021-04-30 23:40:01 main:581] : INFO : Epoch 19 | loss: 0.0310988 | val_loss: 0.0311412 | Time: 25979.8 ms [2021-04-30 23:40:29 main:581] : INFO : Epoch 20 | loss: 0.0310953 | val_loss: 0.0311412 | Time: 28313.6 ms [2021-04-30 23:40:54 main:581] : INFO : Epoch 21 | loss: 0.031095 | val_loss: 0.0311352 | Time: 24973.9 ms [2021-04-30 23:41:20 main:581] : INFO : Epoch 22 | loss: 0.0310971 | val_loss: 0.0311386 | Time: 25656 ms [2021-04-30 23:41:44 main:581] : INFO : Epoch 23 | loss: 0.0310957 | val_loss: 0.0311406 | Time: 24496.8 ms [2021-04-30 23:42:08 main:581] : INFO : Epoch 24 | loss: 0.0310955 | val_loss: 0.0311377 | Time: 23874.9 ms [2021-04-30 23:42:33 main:581] : INFO : Epoch 25 | loss: 0.0310958 | val_loss: 0.0311379 | Time: 24606.7 ms [2021-04-30 23:43:01 main:581] : INFO : Epoch 26 | loss: 0.0310943 | val_loss: 0.0311407 | Time: 28254 ms [2021-04-30 23:43:29 main:581] : INFO : Epoch 27 | loss: 0.031097 | val_loss: 0.0311413 | Time: 27581.1 ms [2021-04-30 23:43:56 main:581] : INFO : Epoch 28 | loss: 0.0311032 | val_loss: 0.0311405 | Time: 27550.6 ms [2021-04-30 23:44:23 main:581] : INFO : Epoch 29 | loss: 0.0311013 | val_loss: 0.0311392 | Time: 26691.4 ms [2021-04-30 23:44:46 main:581] : INFO : Epoch 30 | loss: 0.0311006 | val_loss: 0.0311434 | Time: 22736.6 ms [2021-04-30 23:45:12 main:581] : INFO : Epoch 31 | loss: 0.0311004 | val_loss: 0.0311385 | Time: 26966.5 ms [2021-04-30 23:45:37 main:581] : INFO : Epoch 32 | loss: 0.0310991 | val_loss: 0.0311421 | Time: 24854.5 ms [2021-04-30 23:46:03 main:581] : INFO : Epoch 33 | loss: 0.0310964 | val_loss: 0.031144 | Time: 25582 ms [2021-04-30 23:46:31 main:581] : INFO : Epoch 34 | loss: 0.0310971 | val_loss: 0.0311414 | Time: 28460.3 ms [2021-04-30 23:46:57 main:581] : INFO : Epoch 35 | loss: 0.0311016 | val_loss: 0.0311446 | Time: 25712.9 ms [2021-04-30 23:47:22 main:581] : INFO : Epoch 36 | loss: 0.0311013 | val_loss: 0.0311376 | Time: 25045.4 ms [2021-04-30 23:47:48 main:581] : INFO : Epoch 37 | loss: 0.0310983 | val_loss: 0.0311453 | Time: 26022 ms [2021-04-30 23:48:12 main:581] : INFO : Epoch 38 | loss: 0.0310986 | val_loss: 0.031142 | Time: 24218.6 ms [2021-04-30 23:48:40 main:581] : INFO : Epoch 39 | loss: 0.0311071 | val_loss: 0.0311441 | Time: 27373.5 ms [2021-04-30 23:49:07 main:581] : INFO : Epoch 40 | loss: 0.0311268 | val_loss: 0.0311415 | Time: 27737.3 ms [2021-04-30 23:49:31 main:581] : INFO : Epoch 41 | loss: 0.0311269 | val_loss: 0.0311347 | Time: 23875.8 ms [2021-04-30 23:50:01 main:581] : INFO : Epoch 42 | loss: 0.0311195 | val_loss: 0.0311445 | Time: 29152.9 ms [2021-04-30 23:50:29 main:581] : INFO : Epoch 43 | loss: 0.0311194 | val_loss: 0.0311514 | Time: 28246.7 ms [2021-04-30 23:50:53 main:581] : INFO : Epoch 44 | loss: 0.0311169 | val_loss: 0.0311498 | Time: 23907.8 ms [2021-04-30 23:51:21 main:581] : INFO : Epoch 45 | loss: 0.0311155 | val_loss: 0.0311543 | Time: 28307.9 ms [2021-04-30 23:51:48 main:581] : INFO : Epoch 46 | loss: 0.0311123 | val_loss: 0.0311496 | Time: 26595.8 ms [2021-04-30 23:52:14 main:581] : INFO : Epoch 47 | loss: 0.0311083 | val_loss: 0.0311482 | Time: 26502.7 ms [2021-04-30 23:52:38 main:581] : INFO : Epoch 48 | loss: 0.0311066 | val_loss: 0.0311388 | Time: 23669 ms [2021-04-30 23:53:05 main:581] : INFO : Epoch 49 | loss: 0.0311059 | val_loss: 0.0311455 | Time: 27640.7 ms [2021-04-30 23:53:34 main:581] : INFO : Epoch 50 | loss: 0.0311079 | val_loss: 0.0311442 | Time: 28790.9 ms [2021-04-30 23:54:01 main:581] : INFO : Epoch 51 | loss: 0.0311082 | val_loss: 0.0311367 | Time: 26654.3 ms [2021-04-30 23:54:29 main:581] : INFO : Epoch 52 | loss: 0.0311099 | val_loss: 0.0311343 | Time: 28603.4 ms [2021-04-30 23:54:58 main:581] : INFO : Epoch 53 | loss: 0.0311115 | val_loss: 0.0311416 | Time: 28145.7 ms [2021-04-30 23:55:23 main:581] : INFO : Epoch 54 | loss: 0.0311124 | val_loss: 0.0311354 | Time: 25390.8 ms [2021-04-30 23:55:48 main:581] : INFO : Epoch 55 | loss: 0.0311121 | val_loss: 0.0311367 | Time: 25279.2 ms [2021-04-30 23:56:13 main:581] : INFO : Epoch 56 | loss: 0.0311085 | val_loss: 0.0311362 | Time: 24481.2 ms [2021-04-30 23:56:37 main:581] : INFO : Epoch 57 | loss: 0.0311058 | val_loss: 0.0311324 | Time: 23847.9 ms [2021-04-30 23:57:00 main:581] : INFO : Epoch 58 | loss: 0.031106 | val_loss: 0.031143 | Time: 23738.5 ms [2021-04-30 23:57:24 main:581] : INFO : Epoch 59 | loss: 0.0311063 | val_loss: 0.0311325 | Time: 24158.7 ms [2021-04-30 23:57:48 main:581] : INFO : Epoch 60 | loss: 0.0311045 | val_loss: 0.0311284 | Time: 23749.8 ms [2021-04-30 23:58:14 main:581] : INFO : Epoch 61 | loss: 0.0311025 | val_loss: 0.0311315 | Time: 25883.8 ms [2021-04-30 23:58:42 main:581] : INFO : Epoch 62 | loss: 0.0311014 | val_loss: 0.031133 | Time: 27751.8 ms [2021-04-30 23:59:05 main:581] : INFO : Epoch 63 | loss: 0.0311007 | val_loss: 0.0311284 | Time: 23493 ms [2021-04-30 23:59:31 main:581] : INFO : Epoch 64 | loss: 0.031101 | val_loss: 0.0311296 | Time: 25802.6 ms [2021-04-30 23:59:55 main:581] : INFO : Epoch 65 | loss: 0.0310983 | val_loss: 0.0311318 | Time: 24310.6 ms [2021-05-01 00:00:18 main:581] : INFO : Epoch 66 | loss: 0.0310973 | val_loss: 0.0311297 | Time: 22453 ms [2021-05-01 00:00:41 main:581] : INFO : Epoch 67 | loss: 0.0311006 | val_loss: 0.0311323 | Time: 23415.8 ms [2021-05-01 00:01:07 main:581] : INFO : Epoch 68 | loss: 0.0311005 | val_loss: 0.0311325 | Time: 25271.1 ms [2021-05-01 00:01:34 main:581] : INFO : Epoch 69 | loss: 0.0310999 | val_loss: 0.0311329 | Time: 27877 ms [2021-05-01 00:02:02 main:581] : INFO : Epoch 70 | loss: 0.0311012 | val_loss: 0.0311368 | Time: 27811.8 ms [2021-05-01 00:02:27 main:581] : INFO : Epoch 71 | loss: 0.0311008 | val_loss: 0.0311329 | Time: 24707 ms [2021-05-01 00:02:51 main:581] : INFO : Epoch 72 | loss: 0.0310994 | val_loss: 0.031137 | Time: 24272.6 ms [2021-05-01 00:03:17 main:581] : INFO : Epoch 73 | loss: 0.0310987 | val_loss: 0.0311359 | Time: 25856.4 ms [2021-05-01 00:03:44 main:581] : INFO : Epoch 74 | loss: 0.0310982 | val_loss: 0.0311363 | Time: 26399.1 ms [2021-05-01 00:04:11 main:581] : INFO : Epoch 75 | loss: 0.0310976 | val_loss: 0.0311357 | Time: 27338.7 ms [2021-05-01 00:04:39 main:581] : INFO : Epoch 76 | loss: 0.0310983 | val_loss: 0.0311292 | Time: 28042.2 ms [2021-05-01 00:05:03 main:581] : INFO : Epoch 77 | loss: 0.0310973 | val_loss: 0.0311356 | Time: 24526.4 ms [2021-05-01 00:05:32 main:581] : INFO : Epoch 78 | loss: 0.0311026 | val_loss: 0.0311375 | Time: 28920.5 ms [2021-05-01 00:06:00 main:581] : INFO : Epoch 79 | loss: 0.0311066 | val_loss: 0.0311345 | Time: 27391.2 ms [2021-05-01 00:06:27 main:581] : INFO : Epoch 80 | loss: 0.0311021 | val_loss: 0.0311329 | Time: 27719.8 ms [2021-05-01 00:06:54 main:581] : INFO : Epoch 81 | loss: 0.0311004 | val_loss: 0.0311314 | Time: 26926.7 ms [2021-05-01 00:07:22 main:581] : INFO : Epoch 82 | loss: 0.0310987 | val_loss: 0.0311351 | Time: 27796.8 ms [2021-05-01 00:07:47 main:581] : INFO : Epoch 83 | loss: 0.0310989 | val_loss: 0.0311342 | Time: 25210.3 ms [2021-05-01 00:08:15 main:581] : INFO : Epoch 84 | loss: 0.0311064 | val_loss: 0.0311361 | Time: 27774.8 ms [2021-05-01 00:08:43 main:581] : INFO : Epoch 85 | loss: 0.0311024 | val_loss: 0.0311309 | Time: 27898.3 ms [2021-05-01 00:09:05 main:581] : INFO : Epoch 86 | loss: 0.0311001 | val_loss: 0.0311368 | Time: 22124.8 ms [2021-05-01 00:09:34 main:581] : INFO : Epoch 87 | loss: 0.031104 | val_loss: 0.0311356 | Time: 28425.3 ms [2021-05-01 00:09:59 main:581] : INFO : Epoch 88 | loss: 0.0311034 | val_loss: 0.0311361 | Time: 25825.2 ms [2021-05-01 00:10:26 main:581] : INFO : Epoch 89 | loss: 0.0311016 | val_loss: 0.0311352 | Time: 26130.7 ms [2021-05-01 00:10:50 main:581] : INFO : Epoch 90 | loss: 0.0311033 | val_loss: 0.0311396 | Time: 24384.8 ms [2021-05-01 00:11:15 main:581] : INFO : Epoch 91 | loss: 0.0311026 | val_loss: 0.0311318 | Time: 25024.4 ms [2021-05-01 00:11:43 main:581] : INFO : Epoch 92 | loss: 0.0311007 | val_loss: 0.031135 | Time: 27827.3 ms [2021-05-01 00:12:12 main:581] : INFO : Epoch 93 | loss: 0.0311059 | val_loss: 0.0311338 | Time: 28747.7 ms [2021-05-01 00:12:35 main:581] : INFO : Epoch 94 | loss: 0.0311043 | val_loss: 0.0311334 | Time: 23205.3 ms [2021-05-01 00:12:59 main:581] : INFO : Epoch 95 | loss: 0.0310994 | val_loss: 0.0311392 | Time: 24335.7 ms [2021-05-01 00:13:25 main:581] : INFO : Epoch 96 | loss: 0.0310999 | val_loss: 0.03114 | Time: 25416.6 ms [2021-05-01 00:13:50 main:581] : INFO : Epoch 97 | loss: 0.0310982 | val_loss: 0.0311341 | Time: 25577.5 ms [2021-05-01 00:14:18 main:581] : INFO : Epoch 98 | loss: 0.0311021 | val_loss: 0.031138 | Time: 28283.7 ms [2021-05-01 00:14:44 main:581] : INFO : Epoch 99 | loss: 0.0311048 | val_loss: 0.0311377 | Time: 26019.8 ms [2021-05-01 00:15:08 main:581] : INFO : Epoch 100 | loss: 0.0311022 | val_loss: 0.0311387 | Time: 23399.7 ms [2021-05-01 00:15:34 main:581] : INFO : Epoch 101 | loss: 0.0311045 | val_loss: 0.0311344 | Time: 26156.3 ms [2021-05-01 00:16:01 main:581] : INFO : Epoch 102 | loss: 0.0311054 | val_loss: 0.0311347 | Time: 26527.3 ms [2021-05-01 00:16:30 main:581] : INFO : Epoch 103 | loss: 0.0311033 | val_loss: 0.0311313 | Time: 29294.5 ms [2021-05-01 00:16:58 main:581] : INFO : Epoch 104 | loss: 0.0311008 | val_loss: 0.0311373 | Time: 27929.6 ms [2021-05-01 00:17:25 main:581] : INFO : Epoch 105 | loss: 0.031098 | val_loss: 0.0311386 | Time: 27223.2 ms [2021-05-01 00:17:53 main:581] : INFO : Epoch 106 | loss: 0.031098 | val_loss: 0.0311314 | Time: 27711.7 ms [2021-05-01 00:18:21 main:581] : INFO : Epoch 107 | loss: 0.0310952 | val_loss: 0.0311337 | Time: 28415.7 ms [2021-05-01 00:18:47 main:581] : INFO : Epoch 108 | loss: 0.0310958 | val_loss: 0.0311333 | Time: 25953.6 ms [2021-05-01 00:19:15 main:581] : INFO : Epoch 109 | loss: 0.0310932 | val_loss: 0.0311346 | Time: 27575.1 ms [2021-05-01 00:19:43 main:581] : INFO : Epoch 110 | loss: 0.0310921 | val_loss: 0.0311363 | Time: 28718.7 ms [2021-05-01 00:20:08 main:581] : INFO : Epoch 111 | loss: 0.0310906 | val_loss: 0.0311351 | Time: 24587.7 ms [2021-05-01 00:20:35 main:581] : INFO : Epoch 112 | loss: 0.0310913 | val_loss: 0.0311389 | Time: 27535.7 ms [2021-05-01 00:21:01 main:581] : INFO : Epoch 113 | loss: 0.0310898 | val_loss: 0.0311356 | Time: 25542.5 ms [2021-05-01 00:21:25 main:581] : INFO : Epoch 114 | loss: 0.0310907 | val_loss: 0.0311399 | Time: 23881 ms [2021-05-01 00:21:50 main:581] : INFO : Epoch 115 | loss: 0.0310894 | val_loss: 0.0311379 | Time: 24834.1 ms [2021-05-01 00:22:17 main:581] : INFO : Epoch 116 | loss: 0.0310898 | val_loss: 0.0311397 | Time: 27377.4 ms [2021-05-01 00:22:44 main:581] : INFO : Epoch 117 | loss: 0.0310902 | val_loss: 0.0311377 | Time: 27155.7 ms [2021-05-01 00:23:09 main:581] : INFO : Epoch 118 | loss: 0.03109 | val_loss: 0.0311371 | Time: 25194.3 ms [2021-05-01 00:23:37 main:581] : INFO : Epoch 119 | loss: 0.0310909 | val_loss: 0.031134 | Time: 27326.1 ms [2021-05-01 00:24:02 main:581] : INFO : Epoch 120 | loss: 0.031092 | val_loss: 0.0311381 | Time: 24853.2 ms [2021-05-01 00:24:28 main:581] : INFO : Epoch 121 | loss: 0.0310922 | val_loss: 0.0311394 | Time: 26023.3 ms [2021-05-01 00:24:54 main:581] : INFO : Epoch 122 | loss: 0.0310945 | val_loss: 0.031137 | Time: 26054.5 ms [2021-05-01 00:25:16 main:581] : INFO : Epoch 123 | loss: 0.0310947 | val_loss: 0.0311375 | Time: 22219.8 ms [2021-05-01 00:25:40 main:581] : INFO : Epoch 124 | loss: 0.0310942 | val_loss: 0.031137 | Time: 23610.8 ms [2021-05-01 00:26:02 main:581] : INFO : Epoch 125 | loss: 0.0310902 | val_loss: 0.0311376 | Time: 22645.2 ms [2021-05-01 00:26:24 main:581] : INFO : Epoch 126 | loss: 0.0310884 | val_loss: 0.0311385 | Time: 22014.3 ms [2021-05-01 00:26:48 main:581] : INFO : Epoch 127 | loss: 0.0310874 | val_loss: 0.0311324 | Time: 23731.8 ms [2021-05-01 00:27:16 main:581] : INFO : Epoch 128 | loss: 0.0310864 | val_loss: 0.0311469 | Time: 28163.7 ms [2021-05-01 00:27:16 main:604] : INFO : Saving trained model to model-final.pt, val_loss 0.0311469 [2021-05-01 00:27:16 main:610] : INFO : Saving end state to config to file [2021-05-01 00:27:16 main:615] : INFO : Success, exiting.. 00:27:16 (11581): called boinc_finish(0) </stderr_txt> ]]>
©2022 MLC@Home Team
A project of the Cognition, Robotics, and Learning (CORAL) Lab at the University of Maryland, Baltimore County (UMBC)