Task 5125524
| Name | ParityModified-1607233780-3878-65_0 |
| Workunit | 3078846 |
| Created | 1 May 2021, 0:54:19 UTC |
| Sent | 1 May 2021, 0:55:14 UTC |
| Report deadline | 8 May 2021, 0:55:14 UTC |
| Received | 1 May 2021, 3:43:00 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 11158 |
| Run time | 56 min 46 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 19:45:45 (10884): 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 19:45:45 main:442] : INFO : Set logging level to 1 [2021-04-30 19:45:45 main:448] : INFO : Running in BOINC Client mode [2021-04-30 19:45:45 main:451] : INFO : Resolving all filenames [2021-04-30 19:45:45 main:459] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 (exists = 1) [2021-04-30 19:45:45 main:459] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1607233780-3878-65_0_r1817953129_1 (exists = 0) [2021-04-30 19:45:45 main:459] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1607233780-3878-65_0_r1817953129_0 (exists = 0) [2021-04-30 19:45:45 main:459] : INFO : Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1607233780-3878-65 (exists = 1) [2021-04-30 19:45:45 main:459] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2021-04-30 19:45:45 main:479] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 [2021-04-30 19:45:45 main:481] : INFO : Configuration: [2021-04-30 19:45:45 main:482] : INFO : Model type: GRU [2021-04-30 19:45:45 main:483] : INFO : Validation Loss Threshold: 0.0001 [2021-04-30 19:45:45 main:484] : INFO : Max Epochs: 128 [2021-04-30 19:45:45 main:485] : INFO : Batch Size: 128 [2021-04-30 19:45:45 main:486] : INFO : Learning Rate: 0.01 [2021-04-30 19:45:45 main:487] : INFO : Patience: 10 [2021-04-30 19:45:45 main:488] : INFO : Hidden Width: 12 [2021-04-30 19:45:45 main:489] : INFO : # Recurrent Layers: 4 [2021-04-30 19:45:45 main:490] : INFO : # Backend Layers: 4 [2021-04-30 19:45:45 main:491] : INFO : # Threads: 1 [2021-04-30 19:45:45 main:493] : INFO : Preparing Dataset [2021-04-30 19:45:45 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 19:45:46 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 19:45:48 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2021-04-30 19:45:48 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 19:45:48 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 19:45:48 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2021-04-30 19:45:48 main:501] : INFO : Creating Model [2021-04-30 19:45:48 main:514] : INFO : Preparing config file [2021-04-30 19:45:48 main:526] : INFO : Creating new config file [2021-04-30 19:45:48 main:545] : INFO : This is a continuation WU, loading previous network [2021-04-30 19:45:48 main:566] : INFO : Loading DataLoader into Memory [2021-04-30 19:45:48 main:569] : INFO : Starting Training [2021-04-30 19:46:27 main:581] : INFO : Epoch 1 | loss: 0.0310469 | val_loss: 0.0312529 | Time: 39158.7 ms [2021-04-30 19:46:53 main:581] : INFO : Epoch 2 | loss: 0.0309919 | val_loss: 0.0312898 | Time: 26111.8 ms [2021-04-30 19:47:16 main:581] : INFO : Epoch 3 | loss: 0.0309733 | val_loss: 0.0312701 | Time: 23255.8 ms [2021-04-30 19:47:40 main:581] : INFO : Epoch 4 | loss: 0.0309717 | val_loss: 0.031248 | Time: 23443.9 ms [2021-04-30 19:48:05 main:581] : INFO : Epoch 5 | loss: 0.030966 | val_loss: 0.0312493 | Time: 25555.8 ms [2021-04-30 19:48:31 main:581] : INFO : Epoch 6 | loss: 0.0309582 | val_loss: 0.0312639 | Time: 25615.9 ms [2021-04-30 19:48:56 main:581] : INFO : Epoch 7 | loss: 0.0309649 | val_loss: 0.0312583 | Time: 24679.8 ms [2021-04-30 19:49:20 main:581] : INFO : Epoch 8 | loss: 0.0309653 | val_loss: 0.0313043 | Time: 24771.8 ms [2021-04-30 19:49:47 main:581] : INFO : Epoch 9 | loss: 0.0309679 | val_loss: 0.0312979 | Time: 26603.9 ms [2021-04-30 19:50:16 main:581] : INFO : Epoch 10 | loss: 0.0309627 | val_loss: 0.0312607 | Time: 28555.8 ms [2021-04-30 19:50:42 main:581] : INFO : Epoch 11 | loss: 0.0309698 | val_loss: 0.0312331 | Time: 26251.8 ms [2021-04-30 19:51:11 main:581] : INFO : Epoch 12 | loss: 0.0309784 | val_loss: 0.0312861 | Time: 28821.8 ms [2021-04-30 19:51:39 main:581] : INFO : Epoch 13 | loss: 0.0309648 | val_loss: 0.0312661 | Time: 28751.9 ms [2021-04-30 19:52:07 main:581] : INFO : Epoch 14 | loss: 0.0309595 | val_loss: 0.031274 | Time: 27185.7 ms [2021-04-30 19:52:34 main:581] : INFO : Epoch 15 | loss: 0.030959 | val_loss: 0.0312856 | Time: 27111.8 ms [2021-04-30 19:53:02 main:581] : INFO : Epoch 16 | loss: 0.0309548 | val_loss: 0.0312615 | Time: 28011.9 ms [2021-04-30 19:53:28 main:581] : INFO : Epoch 17 | loss: 0.0309539 | val_loss: 0.0312904 | Time: 26231.8 ms [2021-04-30 19:53:55 main:581] : INFO : Epoch 18 | loss: 0.0309543 | val_loss: 0.0312979 | Time: 26611.9 ms [2021-04-30 19:54:21 main:581] : INFO : Epoch 19 | loss: 0.0309651 | val_loss: 0.0312753 | Time: 26410.1 ms [2021-04-30 19:54:45 main:581] : INFO : Epoch 20 | loss: 0.0309676 | val_loss: 0.0312553 | Time: 24017.6 ms [2021-04-30 19:55:08 main:581] : INFO : Epoch 21 | loss: 0.0309615 | val_loss: 0.0312779 | Time: 22991.9 ms [2021-04-30 19:55:33 main:581] : INFO : Epoch 22 | loss: 0.0309693 | val_loss: 0.0312534 | Time: 25045.3 ms [2021-04-30 19:56:01 main:581] : INFO : Epoch 23 | loss: 0.0309616 | val_loss: 0.0312626 | Time: 28266.3 ms [2021-04-30 19:56:30 main:581] : INFO : Epoch 24 | loss: 0.0309606 | val_loss: 0.0312678 | Time: 28751.8 ms [2021-04-30 19:56:55 main:581] : INFO : Epoch 25 | loss: 0.030962 | val_loss: 0.0312844 | Time: 24763.8 ms [2021-04-30 19:57:19 main:581] : INFO : Epoch 26 | loss: 0.0309616 | val_loss: 0.0312908 | Time: 23763.9 ms [2021-04-30 19:57:47 main:581] : INFO : Epoch 27 | loss: 0.0309566 | val_loss: 0.0312477 | Time: 28104.7 ms [2021-04-30 19:58:14 main:581] : INFO : Epoch 28 | loss: 0.0309619 | val_loss: 0.0312542 | Time: 27579.3 ms [2021-04-30 19:58:43 main:581] : INFO : Epoch 29 | loss: 0.0309694 | val_loss: 0.031238 | Time: 28699.6 ms [2021-04-30 19:59:09 main:581] : INFO : Epoch 30 | loss: 0.0309599 | val_loss: 0.0313113 | Time: 26162.7 ms [2021-04-30 19:59:35 main:581] : INFO : Epoch 31 | loss: 0.030966 | val_loss: 0.0312622 | Time: 26175.7 ms [2021-04-30 20:00:04 main:581] : INFO : Epoch 32 | loss: 0.0309637 | val_loss: 0.031266 | Time: 28860.4 ms [2021-04-30 20:00:33 main:581] : INFO : Epoch 33 | loss: 0.0309561 | val_loss: 0.0312741 | Time: 28712.4 ms [2021-04-30 20:00:57 main:581] : INFO : Epoch 34 | loss: 0.0309567 | val_loss: 0.0312431 | Time: 24292.2 ms [2021-04-30 20:01:21 main:581] : INFO : Epoch 35 | loss: 0.0309545 | val_loss: 0.0312652 | Time: 23480.8 ms [2021-04-30 20:01:50 main:581] : INFO : Epoch 36 | loss: 0.0309613 | val_loss: 0.0312739 | Time: 29042.4 ms [2021-04-30 20:02:16 main:581] : INFO : Epoch 37 | loss: 0.0309632 | val_loss: 0.0312894 | Time: 26082.3 ms [2021-04-30 20:02:42 main:581] : INFO : Epoch 38 | loss: 0.0309641 | val_loss: 0.0312919 | Time: 26677.4 ms [2021-04-30 20:03:09 main:581] : INFO : Epoch 39 | loss: 0.0309627 | val_loss: 0.0312466 | Time: 26487.8 ms [2021-04-30 20:03:37 main:581] : INFO : Epoch 40 | loss: 0.0309722 | val_loss: 0.0312667 | Time: 27530.6 ms [2021-04-30 20:04:04 main:581] : INFO : Epoch 41 | loss: 0.0309725 | val_loss: 0.0312745 | Time: 27697.7 ms [2021-04-30 20:04:31 main:581] : INFO : Epoch 42 | loss: 0.0309574 | val_loss: 0.0312852 | Time: 27071.2 ms [2021-04-30 20:05:00 main:581] : INFO : Epoch 43 | loss: 0.0309486 | val_loss: 0.0312881 | Time: 28600.4 ms [2021-04-30 20:05:29 main:581] : INFO : Epoch 44 | loss: 0.0309523 | val_loss: 0.031278 | Time: 28699.2 ms [2021-04-30 20:05:58 main:581] : INFO : Epoch 45 | loss: 0.03096 | val_loss: 0.0312811 | Time: 28915.8 ms [2021-04-30 20:06:26 main:581] : INFO : Epoch 46 | loss: 0.0309587 | val_loss: 0.0312647 | Time: 28747.8 ms [2021-04-30 20:06:51 main:581] : INFO : Epoch 47 | loss: 0.0309597 | val_loss: 0.0312579 | Time: 25071.8 ms [2021-04-30 20:07:16 main:581] : INFO : Epoch 48 | loss: 0.0309754 | val_loss: 0.031251 | Time: 24631.9 ms [2021-04-30 20:07:43 main:581] : INFO : Epoch 49 | loss: 0.0309873 | val_loss: 0.0312693 | Time: 27187.9 ms [2021-04-30 20:08:10 main:581] : INFO : Epoch 50 | loss: 0.0309712 | val_loss: 0.0312677 | Time: 26589.7 ms [2021-04-30 20:08:37 main:581] : INFO : Epoch 51 | loss: 0.0309663 | val_loss: 0.031259 | Time: 27285.9 ms [2021-04-30 20:09:06 main:581] : INFO : Epoch 52 | loss: 0.0309806 | val_loss: 0.0312373 | Time: 28543.9 ms [2021-04-30 20:09:33 main:581] : INFO : Epoch 53 | loss: 0.0309875 | val_loss: 0.0312611 | Time: 26979.8 ms [2021-04-30 20:09:59 main:581] : INFO : Epoch 54 | loss: 0.0309679 | val_loss: 0.0312919 | Time: 26289.7 ms [2021-04-30 20:10:26 main:581] : INFO : Epoch 55 | loss: 0.0309598 | val_loss: 0.0312496 | Time: 27521.9 ms [2021-04-30 20:10:55 main:581] : INFO : Epoch 56 | loss: 0.0309666 | val_loss: 0.0312672 | Time: 28617.8 ms [2021-04-30 20:11:21 main:581] : INFO : Epoch 57 | loss: 0.030968 | val_loss: 0.0312742 | Time: 26053.7 ms [2021-04-30 20:11:49 main:581] : INFO : Epoch 58 | loss: 0.0309677 | val_loss: 0.0312684 | Time: 28159.8 ms [2021-04-30 20:12:16 main:581] : INFO : Epoch 59 | loss: 0.0309583 | val_loss: 0.0312663 | Time: 26751.8 ms [2021-04-30 20:12:41 main:581] : INFO : Epoch 60 | loss: 0.0309654 | val_loss: 0.0312657 | Time: 25342.3 ms [2021-04-30 20:13:06 main:581] : INFO : Epoch 61 | loss: 0.030957 | val_loss: 0.0312788 | Time: 24443.1 ms [2021-04-30 20:13:33 main:581] : INFO : Epoch 62 | loss: 0.0309582 | val_loss: 0.0312549 | Time: 27430 ms [2021-04-30 20:13:58 main:581] : INFO : Epoch 63 | loss: 0.0309585 | val_loss: 0.0312656 | Time: 25046.8 ms [2021-04-30 20:14:24 main:581] : INFO : Epoch 64 | loss: 0.0309528 | val_loss: 0.0312851 | Time: 26120.8 ms [2021-04-30 20:14:52 main:581] : INFO : Epoch 65 | loss: 0.0309524 | val_loss: 0.0312749 | Time: 27235.9 ms [2021-04-30 20:15:18 main:581] : INFO : Epoch 66 | loss: 0.0309602 | val_loss: 0.0312562 | Time: 26917.4 ms [2021-04-30 20:15:45 main:581] : INFO : Epoch 67 | loss: 0.0309566 | val_loss: 0.0312807 | Time: 26028.4 ms [2021-04-30 20:16:10 main:581] : INFO : Epoch 68 | loss: 0.0309568 | val_loss: 0.0312889 | Time: 25589.5 ms [2021-04-30 20:16:37 main:581] : INFO : Epoch 69 | loss: 0.0309602 | val_loss: 0.0312591 | Time: 27315.8 ms [2021-04-30 20:17:02 main:581] : INFO : Epoch 70 | loss: 0.0309558 | val_loss: 0.0312687 | Time: 24675.8 ms [2021-04-30 20:17:28 main:581] : INFO : Epoch 71 | loss: 0.0309804 | val_loss: 0.0312367 | Time: 25526.5 ms [2021-04-30 20:17:49 main:581] : INFO : Epoch 72 | loss: 0.0309741 | val_loss: 0.0312393 | Time: 21593.2 ms [2021-04-30 20:18:11 main:581] : INFO : Epoch 73 | loss: 0.0309626 | val_loss: 0.0312602 | Time: 21607.6 ms [2021-04-30 20:18:33 main:581] : INFO : Epoch 74 | loss: 0.0309611 | val_loss: 0.0312927 | Time: 22195.7 ms [2021-04-30 20:18:55 main:581] : INFO : Epoch 75 | loss: 0.0309571 | val_loss: 0.031263 | Time: 22359.9 ms [2021-04-30 20:19:21 main:581] : INFO : Epoch 76 | loss: 0.0309671 | val_loss: 0.0312407 | Time: 25583.9 ms [2021-04-30 20:19:48 main:581] : INFO : Epoch 77 | loss: 0.0309699 | val_loss: 0.0312658 | Time: 27214.1 ms [2021-04-30 20:20:17 main:581] : INFO : Epoch 78 | loss: 0.0309608 | val_loss: 0.0312838 | Time: 28657.4 ms [2021-04-30 20:20:45 main:581] : INFO : Epoch 79 | loss: 0.0309553 | val_loss: 0.0312818 | Time: 28578.3 ms [2021-04-30 20:21:11 main:581] : INFO : Epoch 80 | loss: 0.0309599 | val_loss: 0.03128 | Time: 25903.2 ms [2021-04-30 20:21:37 main:581] : INFO : Epoch 81 | loss: 0.0309636 | val_loss: 0.0312849 | Time: 25605.9 ms [2021-04-30 20:22:05 main:581] : INFO : Epoch 82 | loss: 0.0309651 | val_loss: 0.0312541 | Time: 27963.8 ms [2021-04-30 20:22:33 main:581] : INFO : Epoch 83 | loss: 0.0309678 | val_loss: 0.0312625 | Time: 28207.8 ms [2021-04-30 20:22:57 main:581] : INFO : Epoch 84 | loss: 0.0309637 | val_loss: 0.0312664 | Time: 24233.6 ms [2021-04-30 20:23:24 main:581] : INFO : Epoch 85 | loss: 0.0309564 | val_loss: 0.0312783 | Time: 26617.7 ms [2021-04-30 20:23:49 main:581] : INFO : Epoch 86 | loss: 0.0309598 | val_loss: 0.0312887 | Time: 24711.7 ms [2021-04-30 20:24:15 main:581] : INFO : Epoch 87 | loss: 0.0309597 | val_loss: 0.0313008 | Time: 26588.9 ms [2021-04-30 20:24:42 main:581] : INFO : Epoch 88 | loss: 0.0309629 | val_loss: 0.0312584 | Time: 27062.7 ms [2021-04-30 20:25:09 main:581] : INFO : Epoch 89 | loss: 0.0309659 | val_loss: 0.0312545 | Time: 26847.8 ms [2021-04-30 20:25:36 main:581] : INFO : Epoch 90 | loss: 0.0309654 | val_loss: 0.031295 | Time: 27139.8 ms [2021-04-30 20:26:01 main:581] : INFO : Epoch 91 | loss: 0.030971 | val_loss: 0.0312646 | Time: 24929.3 ms [2021-04-30 20:26:25 main:581] : INFO : Epoch 92 | loss: 0.0309663 | val_loss: 0.0312536 | Time: 23660.1 ms [2021-04-30 20:26:53 main:581] : INFO : Epoch 93 | loss: 0.0309631 | val_loss: 0.0312997 | Time: 28294.4 ms [2021-04-30 20:27:18 main:581] : INFO : Epoch 94 | loss: 0.0309622 | val_loss: 0.0312606 | Time: 24773.1 ms [2021-04-30 20:27:44 main:581] : INFO : Epoch 95 | loss: 0.0309578 | val_loss: 0.0312586 | Time: 25893.9 ms [2021-04-30 20:28:14 main:581] : INFO : Epoch 96 | loss: 0.0309658 | val_loss: 0.0312288 | Time: 29669.6 ms [2021-04-30 20:28:40 main:581] : INFO : Epoch 97 | loss: 0.0309716 | val_loss: 0.0312551 | Time: 26060.7 ms [2021-04-30 20:29:07 main:581] : INFO : Epoch 98 | loss: 0.030973 | val_loss: 0.0312697 | Time: 26978.6 ms [2021-04-30 20:29:33 main:581] : INFO : Epoch 99 | loss: 0.0309684 | val_loss: 0.0312688 | Time: 26679.8 ms [2021-04-30 20:30:00 main:581] : INFO : Epoch 100 | loss: 0.0309701 | val_loss: 0.0312741 | Time: 27211.7 ms [2021-04-30 20:30:29 main:581] : INFO : Epoch 101 | loss: 0.0309563 | val_loss: 0.0312602 | Time: 29015.8 ms [2021-04-30 20:30:56 main:581] : INFO : Epoch 102 | loss: 0.0309614 | val_loss: 0.0312985 | Time: 26914.1 ms [2021-04-30 20:31:24 main:581] : INFO : Epoch 103 | loss: 0.0309556 | val_loss: 0.0312695 | Time: 28013.3 ms [2021-04-30 20:31:54 main:581] : INFO : Epoch 104 | loss: 0.0309513 | val_loss: 0.0312931 | Time: 29621.8 ms [2021-04-30 20:32:21 main:581] : INFO : Epoch 105 | loss: 0.0309591 | val_loss: 0.0312579 | Time: 27197.6 ms [2021-04-30 20:32:50 main:581] : INFO : Epoch 106 | loss: 0.0309737 | val_loss: 0.0312768 | Time: 28403.7 ms [2021-04-30 20:33:14 main:581] : INFO : Epoch 107 | loss: 0.0309582 | val_loss: 0.0312639 | Time: 24301.6 ms [2021-04-30 20:33:40 main:581] : INFO : Epoch 108 | loss: 0.0309493 | val_loss: 0.0313029 | Time: 25734.1 ms [2021-04-30 20:34:07 main:581] : INFO : Epoch 109 | loss: 0.0309487 | val_loss: 0.0312775 | Time: 27571.7 ms [2021-04-30 20:34:32 main:581] : INFO : Epoch 110 | loss: 0.030953 | val_loss: 0.0312731 | Time: 24715.8 ms [2021-04-30 20:35:01 main:581] : INFO : Epoch 111 | loss: 0.0309539 | val_loss: 0.0312863 | Time: 29511 ms [2021-04-30 20:35:28 main:581] : INFO : Epoch 112 | loss: 0.0309536 | val_loss: 0.031265 | Time: 26924.5 ms [2021-04-30 20:35:57 main:581] : INFO : Epoch 113 | loss: 0.0309646 | val_loss: 0.0312613 | Time: 28875.7 ms [2021-04-30 20:36:21 main:581] : INFO : Epoch 114 | loss: 0.0309649 | val_loss: 0.0313089 | Time: 23504.5 ms [2021-04-30 20:36:47 main:581] : INFO : Epoch 115 | loss: 0.0309706 | val_loss: 0.0312571 | Time: 26623 ms [2021-04-30 20:37:12 main:581] : INFO : Epoch 116 | loss: 0.0309647 | val_loss: 0.0312786 | Time: 24723.8 ms [2021-04-30 20:37:35 main:581] : INFO : Epoch 117 | loss: 0.030955 | val_loss: 0.0312487 | Time: 22711.9 ms [2021-04-30 20:38:04 main:581] : INFO : Epoch 118 | loss: 0.0309609 | val_loss: 0.0312512 | Time: 29375.6 ms [2021-04-30 20:38:30 main:581] : INFO : Epoch 119 | loss: 0.0309883 | val_loss: 0.0312428 | Time: 26115.8 ms [2021-04-30 20:38:54 main:581] : INFO : Epoch 120 | loss: 0.0309831 | val_loss: 0.0312419 | Time: 24117.9 ms [2021-04-30 20:39:17 main:581] : INFO : Epoch 121 | loss: 0.0309652 | val_loss: 0.03128 | Time: 22091.9 ms [2021-04-30 20:39:45 main:581] : INFO : Epoch 122 | loss: 0.0309545 | val_loss: 0.0312759 | Time: 28557.3 ms [2021-04-30 20:40:10 main:581] : INFO : Epoch 123 | loss: 0.0309594 | val_loss: 0.0312566 | Time: 24567.7 ms [2021-04-30 20:40:38 main:581] : INFO : Epoch 124 | loss: 0.0310118 | val_loss: 0.0312585 | Time: 28063.8 ms [2021-04-30 20:41:03 main:581] : INFO : Epoch 125 | loss: 0.0309776 | val_loss: 0.0312432 | Time: 25619.1 ms [2021-04-30 20:41:31 main:581] : INFO : Epoch 126 | loss: 0.0309704 | val_loss: 0.0312671 | Time: 27764.2 ms [2021-04-30 20:42:00 main:581] : INFO : Epoch 127 | loss: 0.0309568 | val_loss: 0.0313068 | Time: 29069.8 ms [2021-04-30 20:42:24 main:581] : INFO : Epoch 128 | loss: 0.030964 | val_loss: 0.0312645 | Time: 23934.6 ms [2021-04-30 20:42:24 main:604] : INFO : Saving trained model to model-final.pt, val_loss 0.0312645 [2021-04-30 20:42:24 main:610] : INFO : Saving end state to config to file [2021-04-30 20:42:24 main:615] : INFO : Success, exiting.. 20:42:24 (10884): 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)