Task 5126562
| Name | ParityModified-1607233780-3854-50_0 |
| Workunit | 3079492 |
| Created | 1 May 2021, 6:29:47 UTC |
| Sent | 1 May 2021, 6:30:04 UTC |
| Report deadline | 8 May 2021, 6:30:04 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 | 54 min 56 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 02:15:17 (12065): 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 02:15:17 main:442] : INFO : Set logging level to 1 [2021-05-01 02:15:17 main:448] : INFO : Running in BOINC Client mode [2021-05-01 02:15:17 main:451] : INFO : Resolving all filenames [2021-05-01 02:15:17 main:459] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 (exists = 1) [2021-05-01 02:15:17 main:459] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1607233780-3854-50_0_r114514209_1 (exists = 0) [2021-05-01 02:15:17 main:459] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1607233780-3854-50_0_r114514209_0 (exists = 0) [2021-05-01 02:15:17 main:459] : INFO : Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1607233780-3854-50 (exists = 1) [2021-05-01 02:15:17 main:459] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2021-05-01 02:15:17 main:479] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 [2021-05-01 02:15:17 main:481] : INFO : Configuration: [2021-05-01 02:15:17 main:482] : INFO : Model type: GRU [2021-05-01 02:15:17 main:483] : INFO : Validation Loss Threshold: 0.0001 [2021-05-01 02:15:17 main:484] : INFO : Max Epochs: 128 [2021-05-01 02:15:17 main:485] : INFO : Batch Size: 128 [2021-05-01 02:15:17 main:486] : INFO : Learning Rate: 0.01 [2021-05-01 02:15:17 main:487] : INFO : Patience: 10 [2021-05-01 02:15:17 main:488] : INFO : Hidden Width: 12 [2021-05-01 02:15:17 main:489] : INFO : # Recurrent Layers: 4 [2021-05-01 02:15:17 main:490] : INFO : # Backend Layers: 4 [2021-05-01 02:15:17 main:491] : INFO : # Threads: 1 [2021-05-01 02:15:17 main:493] : INFO : Preparing Dataset [2021-05-01 02:15:17 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 02:15:18 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 02:15:19 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2021-05-01 02:15:19 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 02:15:19 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 02:15:19 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2021-05-01 02:15:19 main:501] : INFO : Creating Model [2021-05-01 02:15:19 main:514] : INFO : Preparing config file [2021-05-01 02:15:19 main:526] : INFO : Creating new config file [2021-05-01 02:15:19 main:545] : INFO : This is a continuation WU, loading previous network [2021-05-01 02:15:19 main:566] : INFO : Loading DataLoader into Memory [2021-05-01 02:15:19 main:569] : INFO : Starting Training [2021-05-01 02:15:57 main:581] : INFO : Epoch 1 | loss: 0.031196 | val_loss: 0.0311789 | Time: 37862.9 ms [2021-05-01 02:16:22 main:581] : INFO : Epoch 2 | loss: 0.0311737 | val_loss: 0.031176 | Time: 24539.8 ms [2021-05-01 02:16:45 main:581] : INFO : Epoch 3 | loss: 0.0311722 | val_loss: 0.0311754 | Time: 23563.8 ms [2021-05-01 02:17:10 main:581] : INFO : Epoch 4 | loss: 0.0311711 | val_loss: 0.0311752 | Time: 24527.8 ms [2021-05-01 02:17:36 main:581] : INFO : Epoch 5 | loss: 0.031172 | val_loss: 0.0311771 | Time: 26409.8 ms [2021-05-01 02:18:00 main:581] : INFO : Epoch 6 | loss: 0.0311718 | val_loss: 0.0311748 | Time: 23678 ms [2021-05-01 02:18:24 main:581] : INFO : Epoch 7 | loss: 0.0311705 | val_loss: 0.031175 | Time: 24295.7 ms [2021-05-01 02:18:51 main:581] : INFO : Epoch 8 | loss: 0.031171 | val_loss: 0.0311766 | Time: 26807.8 ms [2021-05-01 02:19:14 main:581] : INFO : Epoch 9 | loss: 0.0311716 | val_loss: 0.0311781 | Time: 22654.3 ms [2021-05-01 02:19:36 main:581] : INFO : Epoch 10 | loss: 0.0311746 | val_loss: 0.0311793 | Time: 22189.9 ms [2021-05-01 02:19:59 main:581] : INFO : Epoch 11 | loss: 0.0311736 | val_loss: 0.0311805 | Time: 23437.3 ms [2021-05-01 02:20:25 main:581] : INFO : Epoch 12 | loss: 0.0311739 | val_loss: 0.0311799 | Time: 25816.8 ms [2021-05-01 02:20:53 main:581] : INFO : Epoch 13 | loss: 0.0311736 | val_loss: 0.0311784 | Time: 27741.9 ms [2021-05-01 02:21:20 main:581] : INFO : Epoch 14 | loss: 0.031172 | val_loss: 0.0311775 | Time: 26854.9 ms [2021-05-01 02:21:44 main:581] : INFO : Epoch 15 | loss: 0.0311722 | val_loss: 0.0311786 | Time: 24293 ms [2021-05-01 02:22:10 main:581] : INFO : Epoch 16 | loss: 0.0311726 | val_loss: 0.0311802 | Time: 26057.4 ms [2021-05-01 02:22:38 main:581] : INFO : Epoch 17 | loss: 0.0311729 | val_loss: 0.0311768 | Time: 27710.1 ms [2021-05-01 02:23:01 main:581] : INFO : Epoch 18 | loss: 0.0311725 | val_loss: 0.0311748 | Time: 23698.8 ms [2021-05-01 02:23:29 main:581] : INFO : Epoch 19 | loss: 0.0311714 | val_loss: 0.0311729 | Time: 27315.8 ms [2021-05-01 02:23:52 main:581] : INFO : Epoch 20 | loss: 0.0311709 | val_loss: 0.0311724 | Time: 23657.9 ms [2021-05-01 02:24:17 main:581] : INFO : Epoch 21 | loss: 0.0311707 | val_loss: 0.031173 | Time: 24817.8 ms [2021-05-01 02:24:44 main:581] : INFO : Epoch 22 | loss: 0.0311748 | val_loss: 0.0311769 | Time: 26427.8 ms [2021-05-01 02:25:11 main:581] : INFO : Epoch 23 | loss: 0.0311765 | val_loss: 0.0311754 | Time: 27825 ms [2021-05-01 02:25:39 main:581] : INFO : Epoch 24 | loss: 0.0311745 | val_loss: 0.031173 | Time: 27659.6 ms [2021-05-01 02:26:05 main:581] : INFO : Epoch 25 | loss: 0.0311732 | val_loss: 0.0311722 | Time: 25930.7 ms [2021-05-01 02:26:30 main:581] : INFO : Epoch 26 | loss: 0.0311739 | val_loss: 0.0311757 | Time: 25397.1 ms [2021-05-01 02:26:58 main:581] : INFO : Epoch 27 | loss: 0.0311746 | val_loss: 0.0311758 | Time: 27691.6 ms [2021-05-01 02:27:24 main:581] : INFO : Epoch 28 | loss: 0.0311745 | val_loss: 0.0311746 | Time: 26298.3 ms [2021-05-01 02:27:49 main:581] : INFO : Epoch 29 | loss: 0.0311726 | val_loss: 0.0311724 | Time: 24735.8 ms [2021-05-01 02:28:16 main:581] : INFO : Epoch 30 | loss: 0.0311725 | val_loss: 0.0311741 | Time: 26547.8 ms [2021-05-01 02:28:40 main:581] : INFO : Epoch 31 | loss: 0.0311725 | val_loss: 0.0311724 | Time: 24819.9 ms [2021-05-01 02:29:02 main:581] : INFO : Epoch 32 | loss: 0.0311729 | val_loss: 0.0311718 | Time: 21653.8 ms [2021-05-01 02:29:28 main:581] : INFO : Epoch 33 | loss: 0.0311725 | val_loss: 0.0311711 | Time: 26132 ms [2021-05-01 02:29:54 main:581] : INFO : Epoch 34 | loss: 0.0311711 | val_loss: 0.031171 | Time: 25848.5 ms [2021-05-01 02:30:22 main:581] : INFO : Epoch 35 | loss: 0.0311723 | val_loss: 0.0311716 | Time: 27432.1 ms [2021-05-01 02:30:48 main:581] : INFO : Epoch 36 | loss: 0.0311722 | val_loss: 0.0311722 | Time: 26704.3 ms [2021-05-01 02:31:15 main:581] : INFO : Epoch 37 | loss: 0.0311718 | val_loss: 0.031171 | Time: 27039.3 ms [2021-05-01 02:31:39 main:581] : INFO : Epoch 38 | loss: 0.0311707 | val_loss: 0.0311724 | Time: 23743.8 ms [2021-05-01 02:32:02 main:581] : INFO : Epoch 39 | loss: 0.0311711 | val_loss: 0.0311718 | Time: 23243.7 ms [2021-05-01 02:32:27 main:581] : INFO : Epoch 40 | loss: 0.031172 | val_loss: 0.0311723 | Time: 24623.8 ms [2021-05-01 02:32:50 main:581] : INFO : Epoch 41 | loss: 0.0311717 | val_loss: 0.0311718 | Time: 22751.1 ms [2021-05-01 02:33:14 main:581] : INFO : Epoch 42 | loss: 0.031171 | val_loss: 0.0311719 | Time: 24000.6 ms [2021-05-01 02:33:39 main:581] : INFO : Epoch 43 | loss: 0.0311701 | val_loss: 0.0311745 | Time: 25319 ms [2021-05-01 02:34:01 main:581] : INFO : Epoch 44 | loss: 0.0311704 | val_loss: 0.0311733 | Time: 22231.4 ms [2021-05-01 02:34:28 main:581] : INFO : Epoch 45 | loss: 0.0311702 | val_loss: 0.031175 | Time: 27009 ms [2021-05-01 02:34:55 main:581] : INFO : Epoch 46 | loss: 0.0311691 | val_loss: 0.0311711 | Time: 27147.8 ms [2021-05-01 02:35:21 main:581] : INFO : Epoch 47 | loss: 0.0311705 | val_loss: 0.0311698 | Time: 25889.3 ms [2021-05-01 02:35:48 main:581] : INFO : Epoch 48 | loss: 0.0311702 | val_loss: 0.0311715 | Time: 27105.5 ms [2021-05-01 02:36:16 main:581] : INFO : Epoch 49 | loss: 0.0311686 | val_loss: 0.0311726 | Time: 27496.6 ms [2021-05-01 02:36:38 main:581] : INFO : Epoch 50 | loss: 0.0311675 | val_loss: 0.0311707 | Time: 22483.9 ms [2021-05-01 02:37:04 main:581] : INFO : Epoch 51 | loss: 0.031168 | val_loss: 0.0311717 | Time: 25276.5 ms [2021-05-01 02:37:29 main:581] : INFO : Epoch 52 | loss: 0.031168 | val_loss: 0.0311714 | Time: 25591.2 ms [2021-05-01 02:37:55 main:581] : INFO : Epoch 53 | loss: 0.0311672 | val_loss: 0.0311712 | Time: 25875.7 ms [2021-05-01 02:38:23 main:581] : INFO : Epoch 54 | loss: 0.0311676 | val_loss: 0.0311706 | Time: 27707.9 ms [2021-05-01 02:38:51 main:581] : INFO : Epoch 55 | loss: 0.0311672 | val_loss: 0.0311715 | Time: 27943.2 ms [2021-05-01 02:39:19 main:581] : INFO : Epoch 56 | loss: 0.0311664 | val_loss: 0.0311715 | Time: 28683.9 ms [2021-05-01 02:39:47 main:581] : INFO : Epoch 57 | loss: 0.0311668 | val_loss: 0.0311721 | Time: 27214.9 ms [2021-05-01 02:40:14 main:581] : INFO : Epoch 58 | loss: 0.0311665 | val_loss: 0.0311703 | Time: 27105 ms [2021-05-01 02:40:40 main:581] : INFO : Epoch 59 | loss: 0.0311681 | val_loss: 0.0311698 | Time: 25993.6 ms [2021-05-01 02:41:04 main:581] : INFO : Epoch 60 | loss: 0.031169 | val_loss: 0.0311721 | Time: 24667.1 ms [2021-05-01 02:41:30 main:581] : INFO : Epoch 61 | loss: 0.0311706 | val_loss: 0.0311688 | Time: 25876.3 ms [2021-05-01 02:41:56 main:581] : INFO : Epoch 62 | loss: 0.0311692 | val_loss: 0.031171 | Time: 25639.5 ms [2021-05-01 02:42:24 main:581] : INFO : Epoch 63 | loss: 0.0311679 | val_loss: 0.0311698 | Time: 28403 ms [2021-05-01 02:42:49 main:581] : INFO : Epoch 64 | loss: 0.0311676 | val_loss: 0.0311691 | Time: 24352.1 ms [2021-05-01 02:43:13 main:581] : INFO : Epoch 65 | loss: 0.0311665 | val_loss: 0.0311683 | Time: 24535.5 ms [2021-05-01 02:43:41 main:581] : INFO : Epoch 66 | loss: 0.0311666 | val_loss: 0.0311681 | Time: 27756.5 ms [2021-05-01 02:44:04 main:581] : INFO : Epoch 67 | loss: 0.0311698 | val_loss: 0.0311739 | Time: 23427.9 ms [2021-05-01 02:44:26 main:581] : INFO : Epoch 68 | loss: 0.0311737 | val_loss: 0.0311733 | Time: 21709.8 ms [2021-05-01 02:44:53 main:581] : INFO : Epoch 69 | loss: 0.0311715 | val_loss: 0.0311726 | Time: 27212.8 ms [2021-05-01 02:45:19 main:581] : INFO : Epoch 70 | loss: 0.0311712 | val_loss: 0.0311721 | Time: 25911.7 ms [2021-05-01 02:45:43 main:581] : INFO : Epoch 71 | loss: 0.0311712 | val_loss: 0.0311705 | Time: 23863.8 ms [2021-05-01 02:46:05 main:581] : INFO : Epoch 72 | loss: 0.0311694 | val_loss: 0.0311698 | Time: 22201.5 ms [2021-05-01 02:46:29 main:581] : INFO : Epoch 73 | loss: 0.0311684 | val_loss: 0.0311695 | Time: 23714.1 ms [2021-05-01 02:46:58 main:581] : INFO : Epoch 74 | loss: 0.0311692 | val_loss: 0.0311697 | Time: 28523.7 ms [2021-05-01 02:47:23 main:581] : INFO : Epoch 75 | loss: 0.0311717 | val_loss: 0.03117 | Time: 25927.8 ms [2021-05-01 02:47:47 main:581] : INFO : Epoch 76 | loss: 0.0311718 | val_loss: 0.0311696 | Time: 23411.9 ms [2021-05-01 02:48:13 main:581] : INFO : Epoch 77 | loss: 0.0311704 | val_loss: 0.0311698 | Time: 26031.3 ms [2021-05-01 02:48:38 main:581] : INFO : Epoch 78 | loss: 0.0311709 | val_loss: 0.0311708 | Time: 24984.2 ms [2021-05-01 02:49:05 main:581] : INFO : Epoch 79 | loss: 0.0311722 | val_loss: 0.0311714 | Time: 26651.5 ms [2021-05-01 02:49:32 main:581] : INFO : Epoch 80 | loss: 0.0311747 | val_loss: 0.0311864 | Time: 27812.5 ms [2021-05-01 02:50:01 main:581] : INFO : Epoch 81 | loss: 0.0311826 | val_loss: 0.0311854 | Time: 28275.3 ms [2021-05-01 02:50:26 main:581] : INFO : Epoch 82 | loss: 0.0311811 | val_loss: 0.0311797 | Time: 25767.5 ms [2021-05-01 02:50:54 main:581] : INFO : Epoch 83 | loss: 0.0311781 | val_loss: 0.0311792 | Time: 27132 ms [2021-05-01 02:51:17 main:581] : INFO : Epoch 84 | loss: 0.0311759 | val_loss: 0.0311765 | Time: 23919.8 ms [2021-05-01 02:51:43 main:581] : INFO : Epoch 85 | loss: 0.0311752 | val_loss: 0.0311779 | Time: 25423.8 ms [2021-05-01 02:52:07 main:581] : INFO : Epoch 86 | loss: 0.0311756 | val_loss: 0.0311787 | Time: 23701 ms [2021-05-01 02:52:32 main:581] : INFO : Epoch 87 | loss: 0.0311741 | val_loss: 0.0311759 | Time: 25883.9 ms [2021-05-01 02:52:59 main:581] : INFO : Epoch 88 | loss: 0.0311737 | val_loss: 0.0311781 | Time: 26093.6 ms [2021-05-01 02:53:25 main:581] : INFO : Epoch 89 | loss: 0.0311728 | val_loss: 0.0311759 | Time: 26118.1 ms [2021-05-01 02:53:50 main:581] : INFO : Epoch 90 | loss: 0.0311726 | val_loss: 0.0311753 | Time: 25818.9 ms [2021-05-01 02:54:19 main:581] : INFO : Epoch 91 | loss: 0.031172 | val_loss: 0.0311746 | Time: 28275.3 ms [2021-05-01 02:54:45 main:581] : INFO : Epoch 92 | loss: 0.0311709 | val_loss: 0.0311746 | Time: 26035.7 ms [2021-05-01 02:55:13 main:581] : INFO : Epoch 93 | loss: 0.0311728 | val_loss: 0.0311763 | Time: 28533.6 ms [2021-05-01 02:55:38 main:581] : INFO : Epoch 94 | loss: 0.0311724 | val_loss: 0.0311763 | Time: 24769.8 ms [2021-05-01 02:56:03 main:581] : INFO : Epoch 95 | loss: 0.0311723 | val_loss: 0.0311757 | Time: 25255.9 ms [2021-05-01 02:56:29 main:581] : INFO : Epoch 96 | loss: 0.0311723 | val_loss: 0.0311755 | Time: 25511.7 ms [2021-05-01 02:56:56 main:581] : INFO : Epoch 97 | loss: 0.0311718 | val_loss: 0.0311743 | Time: 26825.6 ms [2021-05-01 02:57:24 main:581] : INFO : Epoch 98 | loss: 0.0311725 | val_loss: 0.0311765 | Time: 27993.7 ms [2021-05-01 02:57:46 main:581] : INFO : Epoch 99 | loss: 0.0311733 | val_loss: 0.0311764 | Time: 22614.5 ms [2021-05-01 02:58:12 main:581] : INFO : Epoch 100 | loss: 0.0311725 | val_loss: 0.0311755 | Time: 25217.3 ms [2021-05-01 02:58:37 main:581] : INFO : Epoch 101 | loss: 0.0311728 | val_loss: 0.0311755 | Time: 24975.7 ms [2021-05-01 02:59:04 main:581] : INFO : Epoch 102 | loss: 0.0311724 | val_loss: 0.0311758 | Time: 27247.8 ms [2021-05-01 02:59:32 main:581] : INFO : Epoch 103 | loss: 0.0311714 | val_loss: 0.031175 | Time: 28127.9 ms [2021-05-01 02:59:56 main:581] : INFO : Epoch 104 | loss: 0.0311696 | val_loss: 0.0311746 | Time: 24043.7 ms [2021-05-01 03:00:24 main:581] : INFO : Epoch 105 | loss: 0.0311702 | val_loss: 0.0311751 | Time: 28319.6 ms [2021-05-01 03:00:51 main:581] : INFO : Epoch 106 | loss: 0.0311703 | val_loss: 0.0311747 | Time: 26974.8 ms [2021-05-01 03:01:18 main:581] : INFO : Epoch 107 | loss: 0.0311707 | val_loss: 0.0311738 | Time: 26428.6 ms [2021-05-01 03:01:43 main:581] : INFO : Epoch 108 | loss: 0.0311702 | val_loss: 0.0311744 | Time: 25743.8 ms [2021-05-01 03:02:06 main:581] : INFO : Epoch 109 | loss: 0.0311735 | val_loss: 0.0311783 | Time: 22296.5 ms [2021-05-01 03:02:27 main:581] : INFO : Epoch 110 | loss: 0.0311785 | val_loss: 0.0311855 | Time: 21759.1 ms [2021-05-01 03:02:55 main:581] : INFO : Epoch 111 | loss: 0.0312821 | val_loss: 0.0313027 | Time: 27319.8 ms [2021-05-01 03:03:19 main:581] : INFO : Epoch 112 | loss: 0.0336376 | val_loss: 0.0326447 | Time: 24200.3 ms [2021-05-01 03:03:45 main:581] : INFO : Epoch 113 | loss: 0.0330595 | val_loss: 0.0316143 | Time: 25603.1 ms [2021-05-01 03:04:10 main:581] : INFO : Epoch 114 | loss: 0.0314313 | val_loss: 0.03129 | Time: 25067.8 ms [2021-05-01 03:04:34 main:581] : INFO : Epoch 115 | loss: 0.0312671 | val_loss: 0.0312359 | Time: 24645.4 ms [2021-05-01 03:04:57 main:581] : INFO : Epoch 116 | loss: 0.0312241 | val_loss: 0.0312098 | Time: 22394.2 ms [2021-05-01 03:05:25 main:581] : INFO : Epoch 117 | loss: 0.031209 | val_loss: 0.0312053 | Time: 27899.7 ms [2021-05-01 03:05:49 main:581] : INFO : Epoch 118 | loss: 0.0312057 | val_loss: 0.0312026 | Time: 24189.5 ms [2021-05-01 03:06:11 main:581] : INFO : Epoch 119 | loss: 0.0312037 | val_loss: 0.0312016 | Time: 22434.5 ms [2021-05-01 03:06:35 main:581] : INFO : Epoch 120 | loss: 0.031203 | val_loss: 0.031201 | Time: 23899.2 ms [2021-05-01 03:07:00 main:581] : INFO : Epoch 121 | loss: 0.031201 | val_loss: 0.0311995 | Time: 24611.8 ms [2021-05-01 03:07:29 main:581] : INFO : Epoch 122 | loss: 0.0311998 | val_loss: 0.0311992 | Time: 29071.7 ms [2021-05-01 03:07:57 main:581] : INFO : Epoch 123 | loss: 0.0311986 | val_loss: 0.0311976 | Time: 28591.7 ms [2021-05-01 03:08:20 main:581] : INFO : Epoch 124 | loss: 0.0311979 | val_loss: 0.0311976 | Time: 22814.3 ms [2021-05-01 03:08:48 main:581] : INFO : Epoch 125 | loss: 0.031198 | val_loss: 0.031197 | Time: 27508.1 ms [2021-05-01 03:09:16 main:581] : INFO : Epoch 126 | loss: 0.0311983 | val_loss: 0.0311971 | Time: 28560.4 ms [2021-05-01 03:09:41 main:581] : INFO : Epoch 127 | loss: 0.0311968 | val_loss: 0.0311961 | Time: 24236.1 ms [2021-05-01 03:10:07 main:581] : INFO : Epoch 128 | loss: 0.0311962 | val_loss: 0.0311965 | Time: 26027.9 ms [2021-05-01 03:10:07 main:604] : INFO : Saving trained model to model-final.pt, val_loss 0.0311965 [2021-05-01 03:10:07 main:610] : INFO : Saving end state to config to file [2021-05-01 03:10:07 main:615] : INFO : Success, exiting.. 03:10:07 (12065): 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)