Task 5126057
| Name | ParityModified-1607233788-4145-54_0 |
| Workunit | 3079141 |
| Created | 1 May 2021, 3:45:01 UTC |
| Sent | 1 May 2021, 3:45:38 UTC |
| Report deadline | 8 May 2021, 3:45:38 UTC |
| Received | 1 May 2021, 7:24:08 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 11158 |
| Run time | 54 min 44 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 23:29:15 (11544): 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 23:29:15 main:442] : INFO : Set logging level to 1 [2021-04-30 23:29:15 main:448] : INFO : Running in BOINC Client mode [2021-04-30 23:29:15 main:451] : INFO : Resolving all filenames [2021-04-30 23:29:15 main:459] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 (exists = 1) [2021-04-30 23:29:15 main:459] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1607233788-4145-54_0_r1457781911_1 (exists = 0) [2021-04-30 23:29:15 main:459] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1607233788-4145-54_0_r1457781911_0 (exists = 0) [2021-04-30 23:29:15 main:459] : INFO : Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1607233788-4145-54 (exists = 1) [2021-04-30 23:29:15 main:459] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2021-04-30 23:29:15 main:479] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 [2021-04-30 23:29:15 main:481] : INFO : Configuration: [2021-04-30 23:29:15 main:482] : INFO : Model type: GRU [2021-04-30 23:29:15 main:483] : INFO : Validation Loss Threshold: 0.0001 [2021-04-30 23:29:15 main:484] : INFO : Max Epochs: 128 [2021-04-30 23:29:15 main:485] : INFO : Batch Size: 128 [2021-04-30 23:29:15 main:486] : INFO : Learning Rate: 0.01 [2021-04-30 23:29:15 main:487] : INFO : Patience: 10 [2021-04-30 23:29:15 main:488] : INFO : Hidden Width: 12 [2021-04-30 23:29:15 main:489] : INFO : # Recurrent Layers: 4 [2021-04-30 23:29:15 main:490] : INFO : # Backend Layers: 4 [2021-04-30 23:29:15 main:491] : INFO : # Threads: 1 [2021-04-30 23:29:15 main:493] : INFO : Preparing Dataset [2021-04-30 23:29:15 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 23:29:16 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 23:29:17 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2021-04-30 23:29:17 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 23:29:17 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 23:29:17 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2021-04-30 23:29:17 main:501] : INFO : Creating Model [2021-04-30 23:29:17 main:514] : INFO : Preparing config file [2021-04-30 23:29:17 main:526] : INFO : Creating new config file [2021-04-30 23:29:17 main:545] : INFO : This is a continuation WU, loading previous network [2021-04-30 23:29:17 main:566] : INFO : Loading DataLoader into Memory [2021-04-30 23:29:17 main:569] : INFO : Starting Training [2021-04-30 23:29:59 main:581] : INFO : Epoch 1 | loss: 0.0311084 | val_loss: 0.0312282 | Time: 41889 ms [2021-04-30 23:30:24 main:581] : INFO : Epoch 2 | loss: 0.031074 | val_loss: 0.0312281 | Time: 25046.9 ms [2021-04-30 23:30:50 main:581] : INFO : Epoch 3 | loss: 0.0310601 | val_loss: 0.0312436 | Time: 25343.8 ms [2021-04-30 23:31:14 main:581] : INFO : Epoch 4 | loss: 0.0310497 | val_loss: 0.0312458 | Time: 24111.8 ms [2021-04-30 23:31:35 main:581] : INFO : Epoch 5 | loss: 0.0310481 | val_loss: 0.0312353 | Time: 20954.6 ms [2021-04-30 23:32:01 main:581] : INFO : Epoch 6 | loss: 0.0310493 | val_loss: 0.0312568 | Time: 25881 ms [2021-04-30 23:32:26 main:581] : INFO : Epoch 7 | loss: 0.0310465 | val_loss: 0.0312537 | Time: 25708.6 ms [2021-04-30 23:32:52 main:581] : INFO : Epoch 8 | loss: 0.0310423 | val_loss: 0.0312554 | Time: 25553.9 ms [2021-04-30 23:33:18 main:581] : INFO : Epoch 9 | loss: 0.0310669 | val_loss: 0.0312382 | Time: 26446.1 ms [2021-04-30 23:33:41 main:581] : INFO : Epoch 10 | loss: 0.0310667 | val_loss: 0.0312498 | Time: 23188.2 ms [2021-04-30 23:34:04 main:581] : INFO : Epoch 11 | loss: 0.0310633 | val_loss: 0.0312421 | Time: 22187.3 ms [2021-04-30 23:34:32 main:581] : INFO : Epoch 12 | loss: 0.031063 | val_loss: 0.0312273 | Time: 28031.8 ms [2021-04-30 23:34:58 main:581] : INFO : Epoch 13 | loss: 0.0310535 | val_loss: 0.0312536 | Time: 26108.2 ms [2021-04-30 23:35:25 main:581] : INFO : Epoch 14 | loss: 0.0310491 | val_loss: 0.0312442 | Time: 27342.9 ms [2021-04-30 23:35:51 main:581] : INFO : Epoch 15 | loss: 0.0310514 | val_loss: 0.0312401 | Time: 25984.4 ms [2021-04-30 23:36:16 main:581] : INFO : Epoch 16 | loss: 0.0310529 | val_loss: 0.0312434 | Time: 24408.4 ms [2021-04-30 23:36:43 main:581] : INFO : Epoch 17 | loss: 0.0310452 | val_loss: 0.031249 | Time: 27239.9 ms [2021-04-30 23:37:09 main:581] : INFO : Epoch 18 | loss: 0.0310565 | val_loss: 0.0312468 | Time: 25825.4 ms [2021-04-30 23:37:36 main:581] : INFO : Epoch 19 | loss: 0.0310629 | val_loss: 0.0312178 | Time: 27246.2 ms [2021-04-30 23:37:58 main:581] : INFO : Epoch 20 | loss: 0.0310552 | val_loss: 0.0312306 | Time: 22396.9 ms [2021-04-30 23:38:21 main:581] : INFO : Epoch 21 | loss: 0.0310506 | val_loss: 0.0312637 | Time: 22762.8 ms [2021-04-30 23:38:49 main:581] : INFO : Epoch 22 | loss: 0.0310507 | val_loss: 0.0312684 | Time: 27654.9 ms [2021-04-30 23:39:12 main:581] : INFO : Epoch 23 | loss: 0.0310476 | val_loss: 0.0312316 | Time: 23124.7 ms [2021-04-30 23:39:39 main:581] : INFO : Epoch 24 | loss: 0.031052 | val_loss: 0.0312554 | Time: 26860.5 ms [2021-04-30 23:40:04 main:581] : INFO : Epoch 25 | loss: 0.0310605 | val_loss: 0.031231 | Time: 25587.3 ms [2021-04-30 23:40:32 main:581] : INFO : Epoch 26 | loss: 0.0310575 | val_loss: 0.0312579 | Time: 27547.9 ms [2021-04-30 23:40:55 main:581] : INFO : Epoch 27 | loss: 0.0310566 | val_loss: 0.0312434 | Time: 23555.7 ms [2021-04-30 23:41:20 main:581] : INFO : Epoch 28 | loss: 0.0310493 | val_loss: 0.0312416 | Time: 24467.8 ms [2021-04-30 23:41:45 main:581] : INFO : Epoch 29 | loss: 0.0310517 | val_loss: 0.0312408 | Time: 25102.4 ms [2021-04-30 23:42:07 main:581] : INFO : Epoch 30 | loss: 0.0310613 | val_loss: 0.0312444 | Time: 22325.2 ms [2021-04-30 23:42:32 main:581] : INFO : Epoch 31 | loss: 0.031071 | val_loss: 0.0312503 | Time: 25077 ms [2021-04-30 23:42:59 main:581] : INFO : Epoch 32 | loss: 0.031131 | val_loss: 0.0312172 | Time: 27046.1 ms [2021-04-30 23:43:24 main:581] : INFO : Epoch 33 | loss: 0.0311217 | val_loss: 0.0312227 | Time: 25013.6 ms [2021-04-30 23:43:52 main:581] : INFO : Epoch 34 | loss: 0.0311015 | val_loss: 0.0312278 | Time: 27378.1 ms [2021-04-30 23:44:18 main:581] : INFO : Epoch 35 | loss: 0.0311107 | val_loss: 0.0312036 | Time: 26284.4 ms [2021-04-30 23:44:41 main:581] : INFO : Epoch 36 | loss: 0.0311097 | val_loss: 0.031208 | Time: 22831.8 ms [2021-04-30 23:45:06 main:581] : INFO : Epoch 37 | loss: 0.0310946 | val_loss: 0.0312113 | Time: 25557 ms [2021-04-30 23:45:34 main:581] : INFO : Epoch 38 | loss: 0.0310768 | val_loss: 0.0312226 | Time: 27110.7 ms [2021-04-30 23:45:57 main:581] : INFO : Epoch 39 | loss: 0.0310698 | val_loss: 0.0312325 | Time: 22940.3 ms [2021-04-30 23:46:25 main:581] : INFO : Epoch 40 | loss: 0.0310567 | val_loss: 0.0312429 | Time: 28283.2 ms [2021-04-30 23:46:51 main:581] : INFO : Epoch 41 | loss: 0.0310507 | val_loss: 0.0312533 | Time: 26379.8 ms [2021-04-30 23:47:15 main:581] : INFO : Epoch 42 | loss: 0.0310467 | val_loss: 0.0312442 | Time: 23524.4 ms [2021-04-30 23:47:40 main:581] : INFO : Epoch 43 | loss: 0.0310456 | val_loss: 0.0312565 | Time: 25064.7 ms [2021-04-30 23:48:05 main:581] : INFO : Epoch 44 | loss: 0.0310417 | val_loss: 0.0312591 | Time: 25552.5 ms [2021-04-30 23:48:31 main:581] : INFO : Epoch 45 | loss: 0.0310457 | val_loss: 0.0312648 | Time: 25611.5 ms [2021-04-30 23:49:00 main:581] : INFO : Epoch 46 | loss: 0.0310463 | val_loss: 0.0312529 | Time: 28746.1 ms [2021-04-30 23:49:23 main:581] : INFO : Epoch 47 | loss: 0.031042 | val_loss: 0.0312476 | Time: 23033.2 ms [2021-04-30 23:49:48 main:581] : INFO : Epoch 48 | loss: 0.031043 | val_loss: 0.0312505 | Time: 24886.4 ms [2021-04-30 23:50:15 main:581] : INFO : Epoch 49 | loss: 0.0310412 | val_loss: 0.0312547 | Time: 27738.1 ms [2021-04-30 23:50:40 main:581] : INFO : Epoch 50 | loss: 0.0310412 | val_loss: 0.0312447 | Time: 25021.5 ms [2021-04-30 23:51:04 main:581] : INFO : Epoch 51 | loss: 0.0310564 | val_loss: 0.0312559 | Time: 23821.9 ms [2021-04-30 23:51:31 main:581] : INFO : Epoch 52 | loss: 0.0310576 | val_loss: 0.0312458 | Time: 26813.7 ms [2021-04-30 23:51:56 main:581] : INFO : Epoch 53 | loss: 0.0310583 | val_loss: 0.0312555 | Time: 25195.7 ms [2021-04-30 23:52:23 main:581] : INFO : Epoch 54 | loss: 0.0310485 | val_loss: 0.0312489 | Time: 26872.6 ms [2021-04-30 23:52:48 main:581] : INFO : Epoch 55 | loss: 0.0310432 | val_loss: 0.0312554 | Time: 24967 ms [2021-04-30 23:53:15 main:581] : INFO : Epoch 56 | loss: 0.0310637 | val_loss: 0.0312351 | Time: 27343.8 ms [2021-04-30 23:53:42 main:581] : INFO : Epoch 57 | loss: 0.0310599 | val_loss: 0.0312263 | Time: 27063.8 ms [2021-04-30 23:54:10 main:581] : INFO : Epoch 58 | loss: 0.0310559 | val_loss: 0.0312556 | Time: 27115.1 ms [2021-04-30 23:54:38 main:581] : INFO : Epoch 59 | loss: 0.0310518 | val_loss: 0.0312585 | Time: 27984.5 ms [2021-04-30 23:55:05 main:581] : INFO : Epoch 60 | loss: 0.0310515 | val_loss: 0.031252 | Time: 27026.9 ms [2021-04-30 23:55:30 main:581] : INFO : Epoch 61 | loss: 0.0310488 | val_loss: 0.0312437 | Time: 24956 ms [2021-04-30 23:55:55 main:581] : INFO : Epoch 62 | loss: 0.0310408 | val_loss: 0.0312649 | Time: 25776.5 ms [2021-04-30 23:56:18 main:581] : INFO : Epoch 63 | loss: 0.0310401 | val_loss: 0.0312671 | Time: 22480.4 ms [2021-04-30 23:56:41 main:581] : INFO : Epoch 64 | loss: 0.0310391 | val_loss: 0.0312517 | Time: 23597.2 ms [2021-04-30 23:57:04 main:581] : INFO : Epoch 65 | loss: 0.0310413 | val_loss: 0.0312601 | Time: 22919.6 ms [2021-04-30 23:57:27 main:581] : INFO : Epoch 66 | loss: 0.0310564 | val_loss: 0.0312486 | Time: 22495.5 ms [2021-04-30 23:57:51 main:581] : INFO : Epoch 67 | loss: 0.0310592 | val_loss: 0.031234 | Time: 24406.8 ms [2021-04-30 23:58:14 main:581] : INFO : Epoch 68 | loss: 0.0310463 | val_loss: 0.0312666 | Time: 22679.5 ms [2021-04-30 23:58:41 main:581] : INFO : Epoch 69 | loss: 0.0310986 | val_loss: 0.0312021 | Time: 26943.8 ms [2021-04-30 23:59:05 main:581] : INFO : Epoch 70 | loss: 0.0311117 | val_loss: 0.0312152 | Time: 23923.7 ms [2021-04-30 23:59:31 main:581] : INFO : Epoch 71 | loss: 0.0310914 | val_loss: 0.0312251 | Time: 26139.8 ms [2021-04-30 23:59:54 main:581] : INFO : Epoch 72 | loss: 0.0310763 | val_loss: 0.0312399 | Time: 23387.7 ms [2021-05-01 00:00:15 main:581] : INFO : Epoch 73 | loss: 0.0310672 | val_loss: 0.0312461 | Time: 20966.8 ms [2021-05-01 00:00:37 main:581] : INFO : Epoch 74 | loss: 0.0310571 | val_loss: 0.0312556 | Time: 22120.8 ms [2021-05-01 00:01:03 main:581] : INFO : Epoch 75 | loss: 0.0310661 | val_loss: 0.0312391 | Time: 25395.8 ms [2021-05-01 00:01:30 main:581] : INFO : Epoch 76 | loss: 0.0310639 | val_loss: 0.0312743 | Time: 27431.8 ms [2021-05-01 00:01:57 main:581] : INFO : Epoch 77 | loss: 0.0310525 | val_loss: 0.0312388 | Time: 26441.4 ms [2021-05-01 00:02:22 main:581] : INFO : Epoch 78 | loss: 0.0310407 | val_loss: 0.0312635 | Time: 25658.1 ms [2021-05-01 00:02:45 main:581] : INFO : Epoch 79 | loss: 0.0310391 | val_loss: 0.031247 | Time: 22949.4 ms [2021-05-01 00:03:10 main:581] : INFO : Epoch 80 | loss: 0.0310406 | val_loss: 0.0312561 | Time: 25254.1 ms [2021-05-01 00:03:32 main:581] : INFO : Epoch 81 | loss: 0.0310362 | val_loss: 0.0312564 | Time: 22006.6 ms [2021-05-01 00:03:58 main:581] : INFO : Epoch 82 | loss: 0.0310381 | val_loss: 0.0312543 | Time: 25239.7 ms [2021-05-01 00:04:26 main:581] : INFO : Epoch 83 | loss: 0.0310632 | val_loss: 0.0312391 | Time: 27894.2 ms [2021-05-01 00:04:50 main:581] : INFO : Epoch 84 | loss: 0.0310613 | val_loss: 0.0312353 | Time: 24152.4 ms [2021-05-01 00:05:14 main:581] : INFO : Epoch 85 | loss: 0.0310576 | val_loss: 0.031244 | Time: 24190 ms [2021-05-01 00:05:41 main:581] : INFO : Epoch 86 | loss: 0.0310676 | val_loss: 0.03124 | Time: 26779.7 ms [2021-05-01 00:06:08 main:581] : INFO : Epoch 87 | loss: 0.0310553 | val_loss: 0.0312536 | Time: 27656.6 ms [2021-05-01 00:06:34 main:581] : INFO : Epoch 88 | loss: 0.0310506 | val_loss: 0.0312605 | Time: 26083 ms [2021-05-01 00:07:02 main:581] : INFO : Epoch 89 | loss: 0.0310476 | val_loss: 0.0312282 | Time: 27775.7 ms [2021-05-01 00:07:29 main:581] : INFO : Epoch 90 | loss: 0.0310537 | val_loss: 0.0312438 | Time: 26299.8 ms [2021-05-01 00:07:54 main:581] : INFO : Epoch 91 | loss: 0.0310464 | val_loss: 0.0312413 | Time: 25307.8 ms [2021-05-01 00:08:23 main:581] : INFO : Epoch 92 | loss: 0.0310503 | val_loss: 0.0312611 | Time: 28718.8 ms [2021-05-01 00:08:48 main:581] : INFO : Epoch 93 | loss: 0.0310467 | val_loss: 0.0312584 | Time: 25679.2 ms [2021-05-01 00:09:12 main:581] : INFO : Epoch 94 | loss: 0.0310481 | val_loss: 0.0312518 | Time: 23657.2 ms [2021-05-01 00:09:39 main:581] : INFO : Epoch 95 | loss: 0.031042 | val_loss: 0.0312457 | Time: 26975.7 ms [2021-05-01 00:10:03 main:581] : INFO : Epoch 96 | loss: 0.0310474 | val_loss: 0.0312452 | Time: 24459.8 ms [2021-05-01 00:10:28 main:581] : INFO : Epoch 97 | loss: 0.0310447 | val_loss: 0.03126 | Time: 24150.1 ms [2021-05-01 00:10:49 main:581] : INFO : Epoch 98 | loss: 0.0310467 | val_loss: 0.0312522 | Time: 21961.5 ms [2021-05-01 00:11:14 main:581] : INFO : Epoch 99 | loss: 0.0310531 | val_loss: 0.0312477 | Time: 24060.4 ms [2021-05-01 00:11:39 main:581] : INFO : Epoch 100 | loss: 0.0310536 | val_loss: 0.0312482 | Time: 25771.1 ms [2021-05-01 00:12:08 main:581] : INFO : Epoch 101 | loss: 0.0310454 | val_loss: 0.0312403 | Time: 28839.8 ms [2021-05-01 00:12:30 main:581] : INFO : Epoch 102 | loss: 0.0310392 | val_loss: 0.0312381 | Time: 22064.8 ms [2021-05-01 00:12:55 main:581] : INFO : Epoch 103 | loss: 0.03105 | val_loss: 0.0312461 | Time: 25098.8 ms [2021-05-01 00:13:22 main:581] : INFO : Epoch 104 | loss: 0.0310449 | val_loss: 0.0312478 | Time: 26276.1 ms [2021-05-01 00:13:47 main:581] : INFO : Epoch 105 | loss: 0.0310431 | val_loss: 0.0312651 | Time: 25171.4 ms [2021-05-01 00:14:14 main:581] : INFO : Epoch 106 | loss: 0.0310416 | val_loss: 0.0312568 | Time: 27299.3 ms [2021-05-01 00:14:38 main:581] : INFO : Epoch 107 | loss: 0.0310456 | val_loss: 0.031254 | Time: 24005.8 ms [2021-05-01 00:15:02 main:581] : INFO : Epoch 108 | loss: 0.0310376 | val_loss: 0.031258 | Time: 24377.1 ms [2021-05-01 00:15:27 main:581] : INFO : Epoch 109 | loss: 0.0310412 | val_loss: 0.0312542 | Time: 24524.8 ms [2021-05-01 00:15:51 main:581] : INFO : Epoch 110 | loss: 0.0310324 | val_loss: 0.031265 | Time: 23655.7 ms [2021-05-01 00:16:19 main:581] : INFO : Epoch 111 | loss: 0.0310297 | val_loss: 0.0312654 | Time: 28804.1 ms [2021-05-01 00:16:48 main:581] : INFO : Epoch 112 | loss: 0.0310403 | val_loss: 0.0312695 | Time: 28483.4 ms [2021-05-01 00:17:15 main:581] : INFO : Epoch 113 | loss: 0.0310426 | val_loss: 0.03126 | Time: 27204.4 ms [2021-05-01 00:17:43 main:581] : INFO : Epoch 114 | loss: 0.0310593 | val_loss: 0.0312529 | Time: 27979.7 ms [2021-05-01 00:18:11 main:581] : INFO : Epoch 115 | loss: 0.0310535 | val_loss: 0.0312426 | Time: 27844.5 ms [2021-05-01 00:18:37 main:581] : INFO : Epoch 116 | loss: 0.0310466 | val_loss: 0.0312558 | Time: 26326.8 ms [2021-05-01 00:19:04 main:581] : INFO : Epoch 117 | loss: 0.0310622 | val_loss: 0.031231 | Time: 27119.3 ms [2021-05-01 00:19:32 main:581] : INFO : Epoch 118 | loss: 0.0310868 | val_loss: 0.0312307 | Time: 27639.8 ms [2021-05-01 00:20:00 main:581] : INFO : Epoch 119 | loss: 0.0310718 | val_loss: 0.0312374 | Time: 28078.3 ms [2021-05-01 00:20:26 main:581] : INFO : Epoch 120 | loss: 0.0310555 | val_loss: 0.0312407 | Time: 26377.2 ms [2021-05-01 00:20:54 main:581] : INFO : Epoch 121 | loss: 0.0310485 | val_loss: 0.0312286 | Time: 27063.6 ms [2021-05-01 00:21:17 main:581] : INFO : Epoch 122 | loss: 0.031049 | val_loss: 0.0312482 | Time: 23599.8 ms [2021-05-01 00:21:42 main:581] : INFO : Epoch 123 | loss: 0.0310511 | val_loss: 0.0312652 | Time: 24690 ms [2021-05-01 00:22:08 main:581] : INFO : Epoch 124 | loss: 0.0310676 | val_loss: 0.031253 | Time: 26337.5 ms [2021-05-01 00:22:35 main:581] : INFO : Epoch 125 | loss: 0.0310546 | val_loss: 0.0312395 | Time: 27195.7 ms [2021-05-01 00:23:01 main:581] : INFO : Epoch 126 | loss: 0.0310497 | val_loss: 0.0312588 | Time: 25782.5 ms [2021-05-01 00:23:25 main:581] : INFO : Epoch 127 | loss: 0.0310504 | val_loss: 0.0312471 | Time: 24284.8 ms [2021-05-01 00:23:53 main:581] : INFO : Epoch 128 | loss: 0.0310462 | val_loss: 0.0312673 | Time: 27755.1 ms [2021-05-01 00:23:53 main:604] : INFO : Saving trained model to model-final.pt, val_loss 0.0312673 [2021-05-01 00:23:53 main:610] : INFO : Saving end state to config to file [2021-05-01 00:23:53 main:615] : INFO : Success, exiting.. 00:23:53 (11544): 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)