Task 5125708
| Name | ParityModified-1607233782-3941-105_0 |
| Workunit | 3078949 |
| Created | 1 May 2021, 1:52:55 UTC |
| Sent | 1 May 2021, 1:53:05 UTC |
| Report deadline | 8 May 2021, 1:53:05 UTC |
| Received | 1 May 2021, 4:40:54 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 11158 |
| Run time | 56 min 10 sec |
| CPU time | |
| Validate state | Valid |
| Credit | 780.00 |
| 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 |
Stderr output
<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 20:44:16 (11075): 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 20:44:16 main:442] : INFO : Set logging level to 1 [2021-04-30 20:44:16 main:448] : INFO : Running in BOINC Client mode [2021-04-30 20:44:16 main:451] : INFO : Resolving all filenames [2021-04-30 20:44:16 main:459] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 (exists = 1) [2021-04-30 20:44:16 main:459] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1607233782-3941-105_0_r1795896512_1 (exists = 0) [2021-04-30 20:44:16 main:459] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1607233782-3941-105_0_r1795896512_0 (exists = 0) [2021-04-30 20:44:16 main:459] : INFO : Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1607233782-3941-105 (exists = 1) [2021-04-30 20:44:16 main:459] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2021-04-30 20:44:16 main:479] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 [2021-04-30 20:44:16 main:481] : INFO : Configuration: [2021-04-30 20:44:16 main:482] : INFO : Model type: GRU [2021-04-30 20:44:16 main:483] : INFO : Validation Loss Threshold: 0.0001 [2021-04-30 20:44:16 main:484] : INFO : Max Epochs: 128 [2021-04-30 20:44:16 main:485] : INFO : Batch Size: 128 [2021-04-30 20:44:16 main:486] : INFO : Learning Rate: 0.01 [2021-04-30 20:44:16 main:487] : INFO : Patience: 10 [2021-04-30 20:44:16 main:488] : INFO : Hidden Width: 12 [2021-04-30 20:44:16 main:489] : INFO : # Recurrent Layers: 4 [2021-04-30 20:44:16 main:490] : INFO : # Backend Layers: 4 [2021-04-30 20:44:16 main:491] : INFO : # Threads: 1 [2021-04-30 20:44:16 main:493] : INFO : Preparing Dataset [2021-04-30 20:44:16 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 20:44:16 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 20:44:17 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2021-04-30 20:44:17 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 20:44:17 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 20:44:17 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2021-04-30 20:44:17 main:501] : INFO : Creating Model [2021-04-30 20:44:17 main:514] : INFO : Preparing config file [2021-04-30 20:44:17 main:526] : INFO : Creating new config file [2021-04-30 20:44:17 main:545] : INFO : This is a continuation WU, loading previous network [2021-04-30 20:44:17 main:566] : INFO : Loading DataLoader into Memory [2021-04-30 20:44:17 main:569] : INFO : Starting Training [2021-04-30 20:44:56 main:581] : INFO : Epoch 1 | loss: 0.031107 | val_loss: 0.0312498 | Time: 39389.8 ms [2021-04-30 20:45:23 main:581] : INFO : Epoch 2 | loss: 0.0310751 | val_loss: 0.0312166 | Time: 26231.8 ms [2021-04-30 20:45:50 main:581] : INFO : Epoch 3 | loss: 0.0310649 | val_loss: 0.0312498 | Time: 27763.8 ms [2021-04-30 20:46:19 main:581] : INFO : Epoch 4 | loss: 0.0310671 | val_loss: 0.0312154 | Time: 28819.8 ms [2021-04-30 20:46:44 main:581] : INFO : Epoch 5 | loss: 0.0310577 | val_loss: 0.0312329 | Time: 24387.8 ms [2021-04-30 20:47:11 main:581] : INFO : Epoch 6 | loss: 0.0310442 | val_loss: 0.0312294 | Time: 27384.9 ms [2021-04-30 20:47:36 main:581] : INFO : Epoch 7 | loss: 0.0310399 | val_loss: 0.0312337 | Time: 25064.2 ms [2021-04-30 20:47:59 main:581] : INFO : Epoch 8 | loss: 0.0310387 | val_loss: 0.0312467 | Time: 22572.9 ms [2021-04-30 20:48:25 main:581] : INFO : Epoch 9 | loss: 0.0310425 | val_loss: 0.0312289 | Time: 26255.7 ms [2021-04-30 20:48:53 main:581] : INFO : Epoch 10 | loss: 0.0310494 | val_loss: 0.0312247 | Time: 28112 ms [2021-04-30 20:49:19 main:581] : INFO : Epoch 11 | loss: 0.0310394 | val_loss: 0.0312317 | Time: 26256.7 ms [2021-04-30 20:49:44 main:581] : INFO : Epoch 12 | loss: 0.0310367 | val_loss: 0.0312397 | Time: 25294.9 ms [2021-04-30 20:50:12 main:581] : INFO : Epoch 13 | loss: 0.0310456 | val_loss: 0.0312398 | Time: 27335.9 ms [2021-04-30 20:50:39 main:581] : INFO : Epoch 14 | loss: 0.0310394 | val_loss: 0.0312234 | Time: 26848.3 ms [2021-04-30 20:51:04 main:581] : INFO : Epoch 15 | loss: 0.0310448 | val_loss: 0.0312393 | Time: 24983.1 ms [2021-04-30 20:51:27 main:581] : INFO : Epoch 16 | loss: 0.0310452 | val_loss: 0.0312335 | Time: 23828 ms [2021-04-30 20:51:49 main:581] : INFO : Epoch 17 | loss: 0.0310368 | val_loss: 0.0312422 | Time: 21956 ms [2021-04-30 20:52:16 main:581] : INFO : Epoch 18 | loss: 0.0310382 | val_loss: 0.0312305 | Time: 26223.6 ms [2021-04-30 20:52:45 main:581] : INFO : Epoch 19 | loss: 0.031034 | val_loss: 0.0312361 | Time: 29142.1 ms [2021-04-30 20:53:10 main:581] : INFO : Epoch 20 | loss: 0.0310388 | val_loss: 0.0312382 | Time: 25217.7 ms [2021-04-30 20:53:37 main:581] : INFO : Epoch 21 | loss: 0.0310471 | val_loss: 0.0312235 | Time: 27437.9 ms [2021-04-30 20:53:59 main:581] : INFO : Epoch 22 | loss: 0.0310418 | val_loss: 0.0312765 | Time: 21858.3 ms [2021-04-30 20:54:27 main:581] : INFO : Epoch 23 | loss: 0.0310357 | val_loss: 0.0312395 | Time: 27763.7 ms [2021-04-30 20:54:54 main:581] : INFO : Epoch 24 | loss: 0.0310339 | val_loss: 0.0312363 | Time: 26847.4 ms [2021-04-30 20:55:18 main:581] : INFO : Epoch 25 | loss: 0.0310263 | val_loss: 0.0312483 | Time: 23839.6 ms [2021-04-30 20:55:43 main:581] : INFO : Epoch 26 | loss: 0.0310248 | val_loss: 0.0312438 | Time: 25324.2 ms [2021-04-30 20:56:09 main:581] : INFO : Epoch 27 | loss: 0.0310324 | val_loss: 0.0312674 | Time: 25646 ms [2021-04-30 20:56:32 main:581] : INFO : Epoch 28 | loss: 0.0310313 | val_loss: 0.0312347 | Time: 23140.9 ms [2021-04-30 20:56:58 main:581] : INFO : Epoch 29 | loss: 0.0310439 | val_loss: 0.0312178 | Time: 26097.7 ms [2021-04-30 20:57:23 main:581] : INFO : Epoch 30 | loss: 0.0310519 | val_loss: 0.0312383 | Time: 25232.8 ms [2021-04-30 20:57:50 main:581] : INFO : Epoch 31 | loss: 0.0310538 | val_loss: 0.0312318 | Time: 26653.1 ms [2021-04-30 20:58:13 main:581] : INFO : Epoch 32 | loss: 0.0310516 | val_loss: 0.0312146 | Time: 23474.4 ms [2021-04-30 20:58:39 main:581] : INFO : Epoch 33 | loss: 0.0310458 | val_loss: 0.0312455 | Time: 26138.1 ms [2021-04-30 20:59:02 main:581] : INFO : Epoch 34 | loss: 0.0310359 | val_loss: 0.0312407 | Time: 22867.7 ms [2021-04-30 20:59:28 main:581] : INFO : Epoch 35 | loss: 0.0310416 | val_loss: 0.0312333 | Time: 26023.6 ms [2021-04-30 20:59:56 main:581] : INFO : Epoch 36 | loss: 0.0310382 | val_loss: 0.0312434 | Time: 28089.6 ms [2021-04-30 21:00:24 main:581] : INFO : Epoch 37 | loss: 0.0310319 | val_loss: 0.031257 | Time: 28012.2 ms [2021-04-30 21:00:48 main:581] : INFO : Epoch 38 | loss: 0.0310272 | val_loss: 0.0312402 | Time: 23789.2 ms [2021-04-30 21:01:11 main:581] : INFO : Epoch 39 | loss: 0.0310301 | val_loss: 0.0312429 | Time: 22509 ms [2021-04-30 21:01:38 main:581] : INFO : Epoch 40 | loss: 0.0310345 | val_loss: 0.0312506 | Time: 27478.9 ms [2021-04-30 21:02:03 main:581] : INFO : Epoch 41 | loss: 0.0310375 | val_loss: 0.0312422 | Time: 24397.3 ms [2021-04-30 21:02:28 main:581] : INFO : Epoch 42 | loss: 0.0310302 | val_loss: 0.0312504 | Time: 25610.8 ms [2021-04-30 21:02:57 main:581] : INFO : Epoch 43 | loss: 0.0310337 | val_loss: 0.0312359 | Time: 28311.3 ms [2021-04-30 21:03:23 main:581] : INFO : Epoch 44 | loss: 0.0310327 | val_loss: 0.0312505 | Time: 26411.8 ms [2021-04-30 21:03:44 main:581] : INFO : Epoch 45 | loss: 0.0310279 | val_loss: 0.0312448 | Time: 21113.7 ms [2021-04-30 21:04:12 main:581] : INFO : Epoch 46 | loss: 0.03103 | val_loss: 0.0312507 | Time: 28159.7 ms [2021-04-30 21:04:40 main:581] : INFO : Epoch 47 | loss: 0.0310379 | val_loss: 0.0312364 | Time: 27503.9 ms [2021-04-30 21:05:06 main:581] : INFO : Epoch 48 | loss: 0.0310367 | val_loss: 0.03124 | Time: 25774.1 ms [2021-04-30 21:05:34 main:581] : INFO : Epoch 49 | loss: 0.0310395 | val_loss: 0.0312517 | Time: 28607.8 ms [2021-04-30 21:06:00 main:581] : INFO : Epoch 50 | loss: 0.0310373 | val_loss: 0.0312407 | Time: 26096 ms [2021-04-30 21:06:29 main:581] : INFO : Epoch 51 | loss: 0.0310281 | val_loss: 0.0312436 | Time: 28263.5 ms [2021-04-30 21:06:54 main:581] : INFO : Epoch 52 | loss: 0.0310316 | val_loss: 0.0312425 | Time: 25108.4 ms [2021-04-30 21:07:21 main:581] : INFO : Epoch 53 | loss: 0.0310326 | val_loss: 0.0312407 | Time: 27503.8 ms [2021-04-30 21:07:45 main:581] : INFO : Epoch 54 | loss: 0.0310269 | val_loss: 0.0312239 | Time: 23775.3 ms [2021-04-30 21:08:09 main:581] : INFO : Epoch 55 | loss: 0.031027 | val_loss: 0.0312276 | Time: 23906.6 ms [2021-04-30 21:08:34 main:581] : INFO : Epoch 56 | loss: 0.0310257 | val_loss: 0.0312465 | Time: 25586.2 ms [2021-04-30 21:09:03 main:581] : INFO : Epoch 57 | loss: 0.0310326 | val_loss: 0.0312441 | Time: 28268.5 ms [2021-04-30 21:09:28 main:581] : INFO : Epoch 58 | loss: 0.0310305 | val_loss: 0.0312452 | Time: 25314 ms [2021-04-30 21:09:54 main:581] : INFO : Epoch 59 | loss: 0.0310269 | val_loss: 0.0312304 | Time: 25919.7 ms [2021-04-30 21:10:22 main:581] : INFO : Epoch 60 | loss: 0.0310292 | val_loss: 0.0312363 | Time: 27980.4 ms [2021-04-30 21:10:49 main:581] : INFO : Epoch 61 | loss: 0.0310312 | val_loss: 0.0312313 | Time: 26780.7 ms [2021-04-30 21:11:14 main:581] : INFO : Epoch 62 | loss: 0.0310279 | val_loss: 0.0312362 | Time: 25763.9 ms [2021-04-30 21:11:42 main:581] : INFO : Epoch 63 | loss: 0.0310329 | val_loss: 0.0312541 | Time: 27137.8 ms [2021-04-30 21:12:10 main:581] : INFO : Epoch 64 | loss: 0.0310278 | val_loss: 0.0312453 | Time: 28184.1 ms [2021-04-30 21:12:34 main:581] : INFO : Epoch 65 | loss: 0.0310312 | val_loss: 0.0312464 | Time: 24619.5 ms [2021-04-30 21:13:01 main:581] : INFO : Epoch 66 | loss: 0.0310282 | val_loss: 0.0312265 | Time: 26323.1 ms [2021-04-30 21:13:28 main:581] : INFO : Epoch 67 | loss: 0.0310373 | val_loss: 0.0312294 | Time: 27032.7 ms [2021-04-30 21:13:56 main:581] : INFO : Epoch 68 | loss: 0.0310366 | val_loss: 0.0312577 | Time: 28114.4 ms [2021-04-30 21:14:24 main:581] : INFO : Epoch 69 | loss: 0.031034 | val_loss: 0.0312584 | Time: 28318 ms [2021-04-30 21:14:52 main:581] : INFO : Epoch 70 | loss: 0.0310347 | val_loss: 0.0312697 | Time: 27771 ms [2021-04-30 21:15:20 main:581] : INFO : Epoch 71 | loss: 0.0310288 | val_loss: 0.0312338 | Time: 28391.8 ms [2021-04-30 21:15:49 main:581] : INFO : Epoch 72 | loss: 0.0310288 | val_loss: 0.0312296 | Time: 28883.8 ms [2021-04-30 21:16:17 main:581] : INFO : Epoch 73 | loss: 0.0310251 | val_loss: 0.0312418 | Time: 27526.3 ms [2021-04-30 21:16:44 main:581] : INFO : Epoch 74 | loss: 0.0310257 | val_loss: 0.0312392 | Time: 27593.3 ms [2021-04-30 21:17:13 main:581] : INFO : Epoch 75 | loss: 0.0310312 | val_loss: 0.0312579 | Time: 29143.7 ms [2021-04-30 21:17:42 main:581] : INFO : Epoch 76 | loss: 0.031029 | val_loss: 0.0312655 | Time: 28843.8 ms [2021-04-30 21:18:08 main:581] : INFO : Epoch 77 | loss: 0.031036 | val_loss: 0.031231 | Time: 25385.3 ms [2021-04-30 21:18:35 main:581] : INFO : Epoch 78 | loss: 0.0310332 | val_loss: 0.0312518 | Time: 27282.2 ms [2021-04-30 21:19:01 main:581] : INFO : Epoch 79 | loss: 0.0310323 | val_loss: 0.0312459 | Time: 25859.8 ms [2021-04-30 21:19:29 main:581] : INFO : Epoch 80 | loss: 0.0310341 | val_loss: 0.0312655 | Time: 27751.8 ms [2021-04-30 21:19:54 main:581] : INFO : Epoch 81 | loss: 0.031035 | val_loss: 0.0312714 | Time: 25535.8 ms [2021-04-30 21:20:20 main:581] : INFO : Epoch 82 | loss: 0.0310269 | val_loss: 0.0312453 | Time: 25672.2 ms [2021-04-30 21:20:49 main:581] : INFO : Epoch 83 | loss: 0.0310252 | val_loss: 0.031249 | Time: 28951.8 ms [2021-04-30 21:21:14 main:581] : INFO : Epoch 84 | loss: 0.0310155 | val_loss: 0.0312617 | Time: 24951.2 ms [2021-04-30 21:21:43 main:581] : INFO : Epoch 85 | loss: 0.0310274 | val_loss: 0.0312369 | Time: 29119.9 ms [2021-04-30 21:22:12 main:581] : INFO : Epoch 86 | loss: 0.031047 | val_loss: 0.0312596 | Time: 29191.8 ms [2021-04-30 21:22:39 main:581] : INFO : Epoch 87 | loss: 0.0310444 | val_loss: 0.0312479 | Time: 26899.8 ms [2021-04-30 21:23:04 main:581] : INFO : Epoch 88 | loss: 0.0310312 | val_loss: 0.0312461 | Time: 25492.5 ms [2021-04-30 21:23:32 main:581] : INFO : Epoch 89 | loss: 0.031035 | val_loss: 0.0312466 | Time: 27382.1 ms [2021-04-30 21:23:58 main:581] : INFO : Epoch 90 | loss: 0.0310374 | val_loss: 0.0312142 | Time: 26121.2 ms [2021-04-30 21:24:25 main:581] : INFO : Epoch 91 | loss: 0.0310438 | val_loss: 0.0312267 | Time: 26696.9 ms [2021-04-30 21:24:50 main:581] : INFO : Epoch 92 | loss: 0.0310318 | val_loss: 0.031233 | Time: 25424.3 ms [2021-04-30 21:25:17 main:581] : INFO : Epoch 93 | loss: 0.0310315 | val_loss: 0.0312583 | Time: 27373.6 ms [2021-04-30 21:25:40 main:581] : INFO : Epoch 94 | loss: 0.0310286 | val_loss: 0.0312511 | Time: 22883.8 ms [2021-04-30 21:26:04 main:581] : INFO : Epoch 95 | loss: 0.0310313 | val_loss: 0.0312273 | Time: 23519.8 ms [2021-04-30 21:26:30 main:581] : INFO : Epoch 96 | loss: 0.0310367 | val_loss: 0.031244 | Time: 25839.8 ms [2021-04-30 21:26:55 main:581] : INFO : Epoch 97 | loss: 0.0310299 | val_loss: 0.0312504 | Time: 25099.7 ms [2021-04-30 21:27:19 main:581] : INFO : Epoch 98 | loss: 0.0310312 | val_loss: 0.0312452 | Time: 24693.2 ms [2021-04-30 21:27:43 main:581] : INFO : Epoch 99 | loss: 0.0310399 | val_loss: 0.0312397 | Time: 23804.5 ms [2021-04-30 21:28:12 main:581] : INFO : Epoch 100 | loss: 0.0310303 | val_loss: 0.0312363 | Time: 28609.8 ms [2021-04-30 21:28:40 main:581] : INFO : Epoch 101 | loss: 0.0310278 | val_loss: 0.0312586 | Time: 27891.8 ms [2021-04-30 21:29:07 main:581] : INFO : Epoch 102 | loss: 0.0310205 | val_loss: 0.0312424 | Time: 26947.8 ms [2021-04-30 21:29:34 main:581] : INFO : Epoch 103 | loss: 0.0310309 | val_loss: 0.0312392 | Time: 27123.1 ms [2021-04-30 21:29:59 main:581] : INFO : Epoch 104 | loss: 0.0310381 | val_loss: 0.031238 | Time: 25104.5 ms [2021-04-30 21:30:28 main:581] : INFO : Epoch 105 | loss: 0.0310309 | val_loss: 0.0312564 | Time: 29061.9 ms [2021-04-30 21:30:55 main:581] : INFO : Epoch 106 | loss: 0.0310302 | val_loss: 0.031283 | Time: 27314 ms [2021-04-30 21:31:22 main:581] : INFO : Epoch 107 | loss: 0.0310256 | val_loss: 0.0312408 | Time: 26496.7 ms [2021-04-30 21:31:44 main:581] : INFO : Epoch 108 | loss: 0.031023 | val_loss: 0.0312647 | Time: 22675.8 ms [2021-04-30 21:32:09 main:581] : INFO : Epoch 109 | loss: 0.0310215 | val_loss: 0.0312665 | Time: 24850.3 ms [2021-04-30 21:32:36 main:581] : INFO : Epoch 110 | loss: 0.0310247 | val_loss: 0.031258 | Time: 26505.5 ms [2021-04-30 21:33:00 main:581] : INFO : Epoch 111 | loss: 0.0310294 | val_loss: 0.0312377 | Time: 24082 ms [2021-04-30 21:33:29 main:581] : INFO : Epoch 112 | loss: 0.0310145 | val_loss: 0.0312649 | Time: 29323.7 ms [2021-04-30 21:33:54 main:581] : INFO : Epoch 113 | loss: 0.0310133 | val_loss: 0.0312713 | Time: 24491 ms [2021-04-30 21:34:19 main:581] : INFO : Epoch 114 | loss: 0.0310165 | val_loss: 0.0312411 | Time: 25692.4 ms [2021-04-30 21:34:45 main:581] : INFO : Epoch 115 | loss: 0.0310294 | val_loss: 0.0312463 | Time: 25561.3 ms [2021-04-30 21:35:12 main:581] : INFO : Epoch 116 | loss: 0.0310233 | val_loss: 0.0312674 | Time: 27005.7 ms [2021-04-30 21:35:38 main:581] : INFO : Epoch 117 | loss: 0.0310338 | val_loss: 0.0312352 | Time: 25828 ms [2021-04-30 21:36:05 main:581] : INFO : Epoch 118 | loss: 0.0310234 | val_loss: 0.0312511 | Time: 26877.3 ms [2021-04-30 21:36:32 main:581] : INFO : Epoch 119 | loss: 0.0310216 | val_loss: 0.031259 | Time: 27414.2 ms [2021-04-30 21:37:00 main:581] : INFO : Epoch 120 | loss: 0.0310271 | val_loss: 0.0312418 | Time: 28156.9 ms [2021-04-30 21:37:25 main:581] : INFO : Epoch 121 | loss: 0.0310301 | val_loss: 0.0312395 | Time: 25034.6 ms [2021-04-30 21:37:49 main:581] : INFO : Epoch 122 | loss: 0.0310352 | val_loss: 0.0312799 | Time: 23225.6 ms [2021-04-30 21:38:14 main:581] : INFO : Epoch 123 | loss: 0.0310303 | val_loss: 0.0312492 | Time: 25278.1 ms [2021-04-30 21:38:37 main:581] : INFO : Epoch 124 | loss: 0.0310236 | val_loss: 0.0312577 | Time: 22803.5 ms [2021-04-30 21:39:02 main:581] : INFO : Epoch 125 | loss: 0.0310229 | val_loss: 0.0312423 | Time: 24927.7 ms [2021-04-30 21:39:25 main:581] : INFO : Epoch 126 | loss: 0.0310129 | val_loss: 0.031252 | Time: 23485.1 ms [2021-04-30 21:39:51 main:581] : INFO : Epoch 127 | loss: 0.0310111 | val_loss: 0.031241 | Time: 26138.5 ms [2021-04-30 21:40:19 main:581] : INFO : Epoch 128 | loss: 0.0310112 | val_loss: 0.0312516 | Time: 27510 ms [2021-04-30 21:40:19 main:604] : INFO : Saving trained model to model-final.pt, val_loss 0.0312516 [2021-04-30 21:40:19 main:610] : INFO : Saving end state to config to file [2021-04-30 21:40:19 main:615] : INFO : Success, exiting.. 21:40:19 (11075): 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)