Task 5126567
| Name | ParityModified-1607233780-3878-67_0 |
| Workunit | 3079497 |
| Created | 1 May 2021, 6:32:17 UTC |
| Sent | 1 May 2021, 6:33:06 UTC |
| Report deadline | 8 May 2021, 6:33:06 UTC |
| Received | 1 May 2021, 17:47:33 UTC |
| Server state | Over |
| Outcome | Validate error |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 11158 |
| Run time | 55 min 41 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 |
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 02:19:08 (12083): start_timer_thread(): pthread_create(): 22Machine Learning Dataset Generator v9.80 (Linux/x86_64) (libTorch: release/1.7 GPU: Vega 20 [Radeon VII]) [2021-05-01 02:19:08 main:442] : INFO : Set logging level to 1 [2021-05-01 02:19:08 main:448] : INFO : Running in BOINC Client mode [2021-05-01 02:19:08 main:451] : INFO : Resolving all filenames [2021-05-01 02:19:08 main:459] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 (exists = 1) [2021-05-01 02:19:08 main:459] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1607233780-3878-67_0_r1877224081_1 (exists = 0) [2021-05-01 02:19:08 main:459] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1607233780-3878-67_0_r1877224081_0 (exists = 0) [2021-05-01 02:19:08 main:459] : INFO : Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1607233780-3878-67 (exists = 1) [2021-05-01 02:19:08 main:459] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2021-05-01 02:19:08 main:479] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 [2021-05-01 02:19:08 main:481] : INFO : Configuration: [2021-05-01 02:19:08 main:482] : INFO : Model type: GRU [2021-05-01 02:19:08 main:483] : INFO : Validation Loss Threshold: 0.0001 [2021-05-01 02:19:08 main:484] : INFO : Max Epochs: 128 [2021-05-01 02:19:08 main:485] : INFO : Batch Size: 128 [2021-05-01 02:19:08 main:486] : INFO : Learning Rate: 0.01 [2021-05-01 02:19:08 main:487] : INFO : Patience: 10 [2021-05-01 02:19:08 main:488] : INFO : Hidden Width: 12 [2021-05-01 02:19:08 main:489] : INFO : # Recurrent Layers: 4 [2021-05-01 02:19:08 main:490] : INFO : # Backend Layers: 4 [2021-05-01 02:19:08 main:491] : INFO : # Threads: 1 [2021-05-01 02:19:08 main:493] : INFO : Preparing Dataset [2021-05-01 02:19:08 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-05-01 02:19:09 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-05-01 02:19:10 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2021-05-01 02:19:10 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-05-01 02:19:10 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-05-01 02:19:10 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2021-05-01 02:19:10 main:501] : INFO : Creating Model [2021-05-01 02:19:10 main:514] : INFO : Preparing config file [2021-05-01 02:19:10 main:526] : INFO : Creating new config file [2021-05-01 02:19:10 main:545] : INFO : This is a continuation WU, loading previous network [2021-05-01 02:19:10 main:566] : INFO : Loading DataLoader into Memory [2021-05-01 02:19:10 main:569] : INFO : Starting Training [2021-05-01 02:19:45 main:581] : INFO : Epoch 1 | loss: 0.0310429 | val_loss: 0.0312451 | Time: 34733 ms [2021-05-01 02:20:09 main:581] : INFO : Epoch 2 | loss: 0.0309969 | val_loss: 0.0312564 | Time: 24031.9 ms [2021-05-01 02:20:37 main:581] : INFO : Epoch 3 | loss: 0.0309762 | val_loss: 0.0312473 | Time: 27279.8 ms [2021-05-01 02:21:05 main:581] : INFO : Epoch 4 | loss: 0.0309743 | val_loss: 0.0312682 | Time: 28255.4 ms [2021-05-01 02:21:29 main:581] : INFO : Epoch 5 | loss: 0.030972 | val_loss: 0.0312738 | Time: 24284.2 ms [2021-05-01 02:21:52 main:581] : INFO : Epoch 6 | loss: 0.0309628 | val_loss: 0.0312586 | Time: 23266.1 ms [2021-05-01 02:22:21 main:581] : INFO : Epoch 7 | loss: 0.0309679 | val_loss: 0.0312873 | Time: 28819.8 ms [2021-05-01 02:22:49 main:581] : INFO : Epoch 8 | loss: 0.0309631 | val_loss: 0.0312551 | Time: 27760.3 ms [2021-05-01 02:23:14 main:581] : INFO : Epoch 9 | loss: 0.030968 | val_loss: 0.0312735 | Time: 25230.9 ms [2021-05-01 02:23:41 main:581] : INFO : Epoch 10 | loss: 0.0309612 | val_loss: 0.0312761 | Time: 26524.8 ms [2021-05-01 02:24:06 main:581] : INFO : Epoch 11 | loss: 0.030962 | val_loss: 0.0312682 | Time: 25675.7 ms [2021-05-01 02:24:32 main:581] : INFO : Epoch 12 | loss: 0.0309604 | val_loss: 0.0312722 | Time: 25473.4 ms [2021-05-01 02:25:00 main:581] : INFO : Epoch 13 | loss: 0.0309606 | val_loss: 0.0312513 | Time: 27939.8 ms [2021-05-01 02:25:28 main:581] : INFO : Epoch 14 | loss: 0.0309608 | val_loss: 0.0313066 | Time: 28694 ms [2021-05-01 02:25:57 main:581] : INFO : Epoch 15 | loss: 0.0309558 | val_loss: 0.0312571 | Time: 28411.9 ms [2021-05-01 02:26:21 main:581] : INFO : Epoch 16 | loss: 0.0309564 | val_loss: 0.0312895 | Time: 24077.6 ms [2021-05-01 02:26:48 main:581] : INFO : Epoch 17 | loss: 0.0309714 | val_loss: 0.0312828 | Time: 26555.8 ms [2021-05-01 02:27:14 main:581] : INFO : Epoch 18 | loss: 0.0309655 | val_loss: 0.03127 | Time: 26287.8 ms [2021-05-01 02:27:41 main:581] : INFO : Epoch 19 | loss: 0.0309676 | val_loss: 0.031262 | Time: 27609.2 ms [2021-05-01 02:28:07 main:581] : INFO : Epoch 20 | loss: 0.0309734 | val_loss: 0.0312508 | Time: 25542.6 ms [2021-05-01 02:28:33 main:581] : INFO : Epoch 21 | loss: 0.0309612 | val_loss: 0.031255 | Time: 25863.8 ms [2021-05-01 02:28:57 main:581] : INFO : Epoch 22 | loss: 0.0309581 | val_loss: 0.0313041 | Time: 24619.8 ms [2021-05-01 02:29:24 main:581] : INFO : Epoch 23 | loss: 0.0309582 | val_loss: 0.0312442 | Time: 26169.7 ms [2021-05-01 02:29:51 main:581] : INFO : Epoch 24 | loss: 0.0309665 | val_loss: 0.0313005 | Time: 27402 ms [2021-05-01 02:30:18 main:581] : INFO : Epoch 25 | loss: 0.0309752 | val_loss: 0.0313099 | Time: 26922.2 ms [2021-05-01 02:30:46 main:581] : INFO : Epoch 26 | loss: 0.0309673 | val_loss: 0.0312799 | Time: 27761.1 ms [2021-05-01 02:31:13 main:581] : INFO : Epoch 27 | loss: 0.0309612 | val_loss: 0.0312426 | Time: 27536.1 ms [2021-05-01 02:31:35 main:581] : INFO : Epoch 28 | loss: 0.0309572 | val_loss: 0.0312922 | Time: 21487.9 ms [2021-05-01 02:31:59 main:581] : INFO : Epoch 29 | loss: 0.0309579 | val_loss: 0.0312501 | Time: 24019.8 ms [2021-05-01 02:32:25 main:581] : INFO : Epoch 30 | loss: 0.0309599 | val_loss: 0.031279 | Time: 26069.7 ms [2021-05-01 02:32:50 main:581] : INFO : Epoch 31 | loss: 0.0309586 | val_loss: 0.0312769 | Time: 24938 ms [2021-05-01 02:33:13 main:581] : INFO : Epoch 32 | loss: 0.0309607 | val_loss: 0.0312544 | Time: 23735.9 ms [2021-05-01 02:33:40 main:581] : INFO : Epoch 33 | loss: 0.0309624 | val_loss: 0.0312898 | Time: 26700 ms [2021-05-01 02:34:05 main:581] : INFO : Epoch 34 | loss: 0.0309561 | val_loss: 0.0312627 | Time: 24839.6 ms [2021-05-01 02:34:32 main:581] : INFO : Epoch 35 | loss: 0.0309663 | val_loss: 0.0312961 | Time: 27421.8 ms [2021-05-01 02:34:59 main:581] : INFO : Epoch 36 | loss: 0.030958 | val_loss: 0.0312587 | Time: 26167.6 ms [2021-05-01 02:35:24 main:581] : INFO : Epoch 37 | loss: 0.0309568 | val_loss: 0.0312648 | Time: 25396.4 ms [2021-05-01 02:35:52 main:581] : INFO : Epoch 38 | loss: 0.0309695 | val_loss: 0.0312394 | Time: 27651.5 ms [2021-05-01 02:36:19 main:581] : INFO : Epoch 39 | loss: 0.0309704 | val_loss: 0.031273 | Time: 26921.8 ms [2021-05-01 02:36:41 main:581] : INFO : Epoch 40 | loss: 0.0309591 | val_loss: 0.0312997 | Time: 22727.9 ms [2021-05-01 02:37:07 main:581] : INFO : Epoch 41 | loss: 0.0309591 | val_loss: 0.031285 | Time: 25681.4 ms [2021-05-01 02:37:33 main:581] : INFO : Epoch 42 | loss: 0.0309587 | val_loss: 0.0312533 | Time: 26107.2 ms [2021-05-01 02:38:00 main:581] : INFO : Epoch 43 | loss: 0.0309566 | val_loss: 0.0312758 | Time: 26578.9 ms [2021-05-01 02:38:27 main:581] : INFO : Epoch 44 | loss: 0.0309631 | val_loss: 0.0312749 | Time: 27337.1 ms [2021-05-01 02:38:54 main:581] : INFO : Epoch 45 | loss: 0.0309722 | val_loss: 0.0312571 | Time: 27346.5 ms [2021-05-01 02:39:22 main:581] : INFO : Epoch 46 | loss: 0.0309689 | val_loss: 0.0312598 | Time: 27942.6 ms [2021-05-01 02:39:49 main:581] : INFO : Epoch 47 | loss: 0.0309649 | val_loss: 0.0312929 | Time: 26849 ms [2021-05-01 02:40:16 main:581] : INFO : Epoch 48 | loss: 0.0309599 | val_loss: 0.0312523 | Time: 27105.3 ms [2021-05-01 02:40:43 main:581] : INFO : Epoch 49 | loss: 0.0309617 | val_loss: 0.0312686 | Time: 26422.3 ms [2021-05-01 02:41:08 main:581] : INFO : Epoch 50 | loss: 0.0309672 | val_loss: 0.0313165 | Time: 25569.8 ms [2021-05-01 02:41:35 main:581] : INFO : Epoch 51 | loss: 0.0309739 | val_loss: 0.0312787 | Time: 27097.8 ms [2021-05-01 02:41:59 main:581] : INFO : Epoch 52 | loss: 0.0309684 | val_loss: 0.0313003 | Time: 23407.8 ms [2021-05-01 02:42:28 main:581] : INFO : Epoch 53 | loss: 0.0309584 | val_loss: 0.0312716 | Time: 28809.9 ms [2021-05-01 02:42:51 main:581] : INFO : Epoch 54 | loss: 0.0309659 | val_loss: 0.03126 | Time: 23274.9 ms [2021-05-01 02:43:15 main:581] : INFO : Epoch 55 | loss: 0.0309577 | val_loss: 0.0312764 | Time: 23970.6 ms [2021-05-01 02:43:43 main:581] : INFO : Epoch 56 | loss: 0.0309648 | val_loss: 0.0312692 | Time: 28309.4 ms [2021-05-01 02:44:08 main:581] : INFO : Epoch 57 | loss: 0.0309558 | val_loss: 0.0312584 | Time: 24414.2 ms [2021-05-01 02:44:30 main:581] : INFO : Epoch 58 | loss: 0.0309632 | val_loss: 0.0312816 | Time: 22327.8 ms [2021-05-01 02:44:57 main:581] : INFO : Epoch 59 | loss: 0.0309606 | val_loss: 0.0312872 | Time: 26763.9 ms [2021-05-01 02:45:24 main:581] : INFO : Epoch 60 | loss: 0.0309588 | val_loss: 0.031254 | Time: 27055.8 ms [2021-05-01 02:45:47 main:581] : INFO : Epoch 61 | loss: 0.0309621 | val_loss: 0.0312775 | Time: 22958.6 ms [2021-05-01 02:46:10 main:581] : INFO : Epoch 62 | loss: 0.0309693 | val_loss: 0.0312674 | Time: 23394.8 ms [2021-05-01 02:46:36 main:581] : INFO : Epoch 63 | loss: 0.0309559 | val_loss: 0.0312749 | Time: 25878.1 ms [2021-05-01 02:47:04 main:581] : INFO : Epoch 64 | loss: 0.0309754 | val_loss: 0.0312226 | Time: 27735.6 ms [2021-05-01 02:47:29 main:581] : INFO : Epoch 65 | loss: 0.0310091 | val_loss: 0.0312375 | Time: 25138.7 ms [2021-05-01 02:47:57 main:581] : INFO : Epoch 66 | loss: 0.0309767 | val_loss: 0.0312604 | Time: 27832.9 ms [2021-05-01 02:48:21 main:581] : INFO : Epoch 67 | loss: 0.0309598 | val_loss: 0.0312912 | Time: 23927.1 ms [2021-05-01 02:48:45 main:581] : INFO : Epoch 68 | loss: 0.0309637 | val_loss: 0.0312792 | Time: 24564.4 ms [2021-05-01 02:49:13 main:581] : INFO : Epoch 69 | loss: 0.0309596 | val_loss: 0.0312618 | Time: 27468 ms [2021-05-01 02:49:41 main:581] : INFO : Epoch 70 | loss: 0.0309577 | val_loss: 0.031259 | Time: 28863.8 ms [2021-05-01 02:50:08 main:581] : INFO : Epoch 71 | loss: 0.0309649 | val_loss: 0.0312683 | Time: 26231.7 ms [2021-05-01 02:50:34 main:581] : INFO : Epoch 72 | loss: 0.03096 | val_loss: 0.0312549 | Time: 26501.1 ms [2021-05-01 02:51:00 main:581] : INFO : Epoch 73 | loss: 0.0309672 | val_loss: 0.0312568 | Time: 25875.4 ms [2021-05-01 02:51:25 main:581] : INFO : Epoch 74 | loss: 0.0309636 | val_loss: 0.0312777 | Time: 24449.1 ms [2021-05-01 02:51:50 main:581] : INFO : Epoch 75 | loss: 0.0309596 | val_loss: 0.0312529 | Time: 25893.7 ms [2021-05-01 02:52:16 main:581] : INFO : Epoch 76 | loss: 0.0309625 | val_loss: 0.0312894 | Time: 25799.7 ms [2021-05-01 02:52:43 main:581] : INFO : Epoch 77 | loss: 0.0309647 | val_loss: 0.0312687 | Time: 27211.8 ms [2021-05-01 02:53:09 main:581] : INFO : Epoch 78 | loss: 0.0309765 | val_loss: 0.0312596 | Time: 25279.8 ms [2021-05-01 02:53:37 main:581] : INFO : Epoch 79 | loss: 0.0309643 | val_loss: 0.0312717 | Time: 27951.9 ms [2021-05-01 02:54:03 main:581] : INFO : Epoch 80 | loss: 0.0309614 | val_loss: 0.0312526 | Time: 25909.3 ms [2021-05-01 02:54:32 main:581] : INFO : Epoch 81 | loss: 0.0309596 | val_loss: 0.0312695 | Time: 29201.2 ms [2021-05-01 02:54:58 main:581] : INFO : Epoch 82 | loss: 0.030958 | val_loss: 0.0312686 | Time: 26212.6 ms [2021-05-01 02:55:24 main:581] : INFO : Epoch 83 | loss: 0.0309587 | val_loss: 0.031269 | Time: 26195.8 ms [2021-05-01 02:55:51 main:581] : INFO : Epoch 84 | loss: 0.03097 | val_loss: 0.0312256 | Time: 26888 ms [2021-05-01 02:56:17 main:581] : INFO : Epoch 85 | loss: 0.0310125 | val_loss: 0.0312421 | Time: 26227.7 ms [2021-05-01 02:56:42 main:581] : INFO : Epoch 86 | loss: 0.0309955 | val_loss: 0.0312532 | Time: 25079.8 ms [2021-05-01 02:57:11 main:581] : INFO : Epoch 87 | loss: 0.0309678 | val_loss: 0.0312647 | Time: 28569.8 ms [2021-05-01 02:57:37 main:581] : INFO : Epoch 88 | loss: 0.0309548 | val_loss: 0.0312603 | Time: 25643.4 ms [2021-05-01 02:58:00 main:581] : INFO : Epoch 89 | loss: 0.0309688 | val_loss: 0.031253 | Time: 23462.7 ms [2021-05-01 02:58:23 main:581] : INFO : Epoch 90 | loss: 0.0309698 | val_loss: 0.0313007 | Time: 23323.6 ms [2021-05-01 02:58:49 main:581] : INFO : Epoch 91 | loss: 0.0309618 | val_loss: 0.031243 | Time: 25954.1 ms [2021-05-01 02:59:18 main:581] : INFO : Epoch 92 | loss: 0.0309612 | val_loss: 0.0312659 | Time: 29133.2 ms [2021-05-01 02:59:43 main:581] : INFO : Epoch 93 | loss: 0.0309647 | val_loss: 0.0312724 | Time: 24135.7 ms [2021-05-01 03:00:10 main:581] : INFO : Epoch 94 | loss: 0.0309753 | val_loss: 0.0312797 | Time: 27089.9 ms [2021-05-01 03:00:38 main:581] : INFO : Epoch 95 | loss: 0.0309745 | val_loss: 0.0312424 | Time: 28141.4 ms [2021-05-01 03:01:04 main:581] : INFO : Epoch 96 | loss: 0.0309747 | val_loss: 0.0312652 | Time: 26660 ms [2021-05-01 03:01:29 main:581] : INFO : Epoch 97 | loss: 0.0309555 | val_loss: 0.0312873 | Time: 25015.7 ms [2021-05-01 03:01:54 main:581] : INFO : Epoch 98 | loss: 0.0309548 | val_loss: 0.0312554 | Time: 24452.1 ms [2021-05-01 03:02:18 main:581] : INFO : Epoch 99 | loss: 0.0309596 | val_loss: 0.0312476 | Time: 23884.4 ms [2021-05-01 03:02:44 main:581] : INFO : Epoch 100 | loss: 0.0309584 | val_loss: 0.0312979 | Time: 25686.9 ms [2021-05-01 03:03:10 main:581] : INFO : Epoch 101 | loss: 0.0309559 | val_loss: 0.031261 | Time: 26975.3 ms [2021-05-01 03:03:38 main:581] : INFO : Epoch 102 | loss: 0.0309621 | val_loss: 0.0313053 | Time: 27338.1 ms [2021-05-01 03:04:03 main:581] : INFO : Epoch 103 | loss: 0.0309572 | val_loss: 0.0312772 | Time: 25038.2 ms [2021-05-01 03:04:26 main:581] : INFO : Epoch 104 | loss: 0.0309586 | val_loss: 0.0312923 | Time: 23139.3 ms [2021-05-01 03:04:50 main:581] : INFO : Epoch 105 | loss: 0.0309695 | val_loss: 0.0312661 | Time: 23773.5 ms [2021-05-01 03:05:17 main:581] : INFO : Epoch 106 | loss: 0.0309619 | val_loss: 0.031291 | Time: 27390.4 ms [2021-05-01 03:05:43 main:581] : INFO : Epoch 107 | loss: 0.0309505 | val_loss: 0.0312705 | Time: 26011.7 ms [2021-05-01 03:06:05 main:581] : INFO : Epoch 108 | loss: 0.030954 | val_loss: 0.031291 | Time: 21387.8 ms [2021-05-01 03:06:30 main:581] : INFO : Epoch 109 | loss: 0.0309621 | val_loss: 0.0312805 | Time: 25090.1 ms [2021-05-01 03:06:54 main:581] : INFO : Epoch 110 | loss: 0.0309719 | val_loss: 0.0312752 | Time: 24089.5 ms [2021-05-01 03:07:22 main:581] : INFO : Epoch 111 | loss: 0.030967 | val_loss: 0.0312903 | Time: 28723.7 ms [2021-05-01 03:07:52 main:581] : INFO : Epoch 112 | loss: 0.0309618 | val_loss: 0.031247 | Time: 29309 ms [2021-05-01 03:08:18 main:581] : INFO : Epoch 113 | loss: 0.0309675 | val_loss: 0.031276 | Time: 25921 ms [2021-05-01 03:08:45 main:581] : INFO : Epoch 114 | loss: 0.0309713 | val_loss: 0.0312827 | Time: 27715.8 ms [2021-05-01 03:09:14 main:581] : INFO : Epoch 115 | loss: 0.0309586 | val_loss: 0.031263 | Time: 28326.7 ms [2021-05-01 03:09:40 main:581] : INFO : Epoch 116 | loss: 0.0309584 | val_loss: 0.0312871 | Time: 26242.1 ms [2021-05-01 03:10:06 main:581] : INFO : Epoch 117 | loss: 0.0309637 | val_loss: 0.0312817 | Time: 25988.2 ms [2021-05-01 03:10:26 main:581] : INFO : Epoch 118 | loss: 0.0309712 | val_loss: 0.031291 | Time: 19891.5 ms [2021-05-01 03:10:49 main:581] : INFO : Epoch 119 | loss: 0.0309758 | val_loss: 0.0312928 | Time: 23379.9 ms [2021-05-01 03:11:14 main:581] : INFO : Epoch 120 | loss: 0.0309613 | val_loss: 0.0312566 | Time: 24715.7 ms [2021-05-01 03:11:39 main:581] : INFO : Epoch 121 | loss: 0.0309632 | val_loss: 0.0312627 | Time: 24807.3 ms [2021-05-01 03:12:04 main:581] : INFO : Epoch 122 | loss: 0.0309552 | val_loss: 0.0312911 | Time: 24738.6 ms [2021-05-01 03:12:30 main:581] : INFO : Epoch 123 | loss: 0.0309661 | val_loss: 0.0313092 | Time: 26607.7 ms [2021-05-01 03:12:57 main:581] : INFO : Epoch 124 | loss: 0.0309685 | val_loss: 0.0312548 | Time: 27065.5 ms [2021-05-01 03:13:20 main:581] : INFO : Epoch 125 | loss: 0.0309598 | val_loss: 0.0312721 | Time: 22649.8 ms [2021-05-01 03:13:48 main:581] : INFO : Epoch 126 | loss: 0.0309681 | val_loss: 0.0312675 | Time: 27857.7 ms [2021-05-01 03:14:14 main:581] : INFO : Epoch 127 | loss: 0.030961 | val_loss: 0.0312718 | Time: 26695.7 ms [2021-05-01 03:14:43 main:581] : INFO : Epoch 128 | loss: 0.0309615 | val_loss: 0.0312708 | Time: 28987 ms [2021-05-01 03:14:43 main:604] : INFO : Saving trained model to model-final.pt, val_loss 0.0312708 [2021-05-01 03:14:43 main:610] : INFO : Saving end state to config to file [2021-05-01 03:14:43 main:615] : INFO : Success, exiting.. 03:14:43 (12083): 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)