| Name | ParityModified-1607233782-3941-106_0 |
| Workunit | 3079230 |
| Created | 1 May 2021, 4:41:24 UTC |
| Sent | 1 May 2021, 4:41:28 UTC |
| Report deadline | 8 May 2021, 4:41:28 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 49 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 |
<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 00:24:03 (11769): 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 00:24:04 main:442] : INFO : Set logging level to 1 [2021-05-01 00:24:04 main:448] : INFO : Running in BOINC Client mode [2021-05-01 00:24:04 main:451] : INFO : Resolving all filenames [2021-05-01 00:24:04 main:459] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 (exists = 1) [2021-05-01 00:24:04 main:459] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1607233782-3941-106_0_r660953745_1 (exists = 0) [2021-05-01 00:24:04 main:459] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1607233782-3941-106_0_r660953745_0 (exists = 0) [2021-05-01 00:24:04 main:459] : INFO : Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1607233782-3941-106 (exists = 1) [2021-05-01 00:24:04 main:459] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2021-05-01 00:24:04 main:479] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 [2021-05-01 00:24:04 main:481] : INFO : Configuration: [2021-05-01 00:24:04 main:482] : INFO : Model type: GRU [2021-05-01 00:24:04 main:483] : INFO : Validation Loss Threshold: 0.0001 [2021-05-01 00:24:04 main:484] : INFO : Max Epochs: 128 [2021-05-01 00:24:04 main:485] : INFO : Batch Size: 128 [2021-05-01 00:24:04 main:486] : INFO : Learning Rate: 0.01 [2021-05-01 00:24:04 main:487] : INFO : Patience: 10 [2021-05-01 00:24:04 main:488] : INFO : Hidden Width: 12 [2021-05-01 00:24:04 main:489] : INFO : # Recurrent Layers: 4 [2021-05-01 00:24:04 main:490] : INFO : # Backend Layers: 4 [2021-05-01 00:24:04 main:491] : INFO : # Threads: 1 [2021-05-01 00:24:04 main:493] : INFO : Preparing Dataset [2021-05-01 00:24:04 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 00:24:04 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 00:24:05 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2021-05-01 00:24:05 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 00:24:06 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 00:24:06 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2021-05-01 00:24:06 main:501] : INFO : Creating Model [2021-05-01 00:24:06 main:514] : INFO : Preparing config file [2021-05-01 00:24:06 main:526] : INFO : Creating new config file [2021-05-01 00:24:06 main:545] : INFO : This is a continuation WU, loading previous network [2021-05-01 00:24:06 main:566] : INFO : Loading DataLoader into Memory [2021-05-01 00:24:06 main:569] : INFO : Starting Training [2021-05-01 00:24:48 main:581] : INFO : Epoch 1 | loss: 0.0311339 | val_loss: 0.03123 | Time: 42653.8 ms [2021-05-01 00:25:11 main:581] : INFO : Epoch 2 | loss: 0.0310652 | val_loss: 0.0312382 | Time: 22691.8 ms [2021-05-01 00:25:35 main:581] : INFO : Epoch 3 | loss: 0.0310429 | val_loss: 0.03123 | Time: 23468.8 ms [2021-05-01 00:25:59 main:581] : INFO : Epoch 4 | loss: 0.0310316 | val_loss: 0.031251 | Time: 24531.4 ms [2021-05-01 00:26:24 main:581] : INFO : Epoch 5 | loss: 0.0310228 | val_loss: 0.031261 | Time: 25195.4 ms [2021-05-01 00:26:47 main:581] : INFO : Epoch 6 | loss: 0.0310154 | val_loss: 0.0312459 | Time: 22819.9 ms [2021-05-01 00:27:15 main:581] : INFO : Epoch 7 | loss: 0.031014 | val_loss: 0.0312502 | Time: 27847.8 ms [2021-05-01 00:27:36 main:581] : INFO : Epoch 8 | loss: 0.0310103 | val_loss: 0.0312568 | Time: 21471.8 ms [2021-05-01 00:28:01 main:581] : INFO : Epoch 9 | loss: 0.0310158 | val_loss: 0.0312357 | Time: 24027.9 ms [2021-05-01 00:28:30 main:581] : INFO : Epoch 10 | loss: 0.0310232 | val_loss: 0.0312647 | Time: 29061.8 ms [2021-05-01 00:28:53 main:581] : INFO : Epoch 11 | loss: 0.0310198 | val_loss: 0.0312239 | Time: 23773.8 ms [2021-05-01 00:29:21 main:581] : INFO : Epoch 12 | loss: 0.0310164 | val_loss: 0.0312385 | Time: 27867.8 ms [2021-05-01 00:29:50 main:581] : INFO : Epoch 13 | loss: 0.0310214 | val_loss: 0.0312371 | Time: 28861.1 ms [2021-05-01 00:30:14 main:581] : INFO : Epoch 14 | loss: 0.0310204 | val_loss: 0.031275 | Time: 24218.6 ms [2021-05-01 00:30:42 main:581] : INFO : Epoch 15 | loss: 0.0310185 | val_loss: 0.0312584 | Time: 27219.8 ms [2021-05-01 00:31:07 main:581] : INFO : Epoch 16 | loss: 0.0310199 | val_loss: 0.0312598 | Time: 25511.9 ms [2021-05-01 00:31:34 main:581] : INFO : Epoch 17 | loss: 0.0310129 | val_loss: 0.0312501 | Time: 26907.8 ms [2021-05-01 00:32:00 main:581] : INFO : Epoch 18 | loss: 0.0310204 | val_loss: 0.0312663 | Time: 25993.4 ms [2021-05-01 00:32:29 main:581] : INFO : Epoch 19 | loss: 0.0310424 | val_loss: 0.0312213 | Time: 29078.3 ms [2021-05-01 00:32:58 main:581] : INFO : Epoch 20 | loss: 0.0310393 | val_loss: 0.0312416 | Time: 29195.8 ms [2021-05-01 00:33:26 main:581] : INFO : Epoch 21 | loss: 0.0310256 | val_loss: 0.0312687 | Time: 27375.8 ms [2021-05-01 00:33:49 main:581] : INFO : Epoch 22 | loss: 0.0310152 | val_loss: 0.0312584 | Time: 23508.4 ms [2021-05-01 00:34:17 main:581] : INFO : Epoch 23 | loss: 0.0310236 | val_loss: 0.0312537 | Time: 27416.9 ms [2021-05-01 00:34:43 main:581] : INFO : Epoch 24 | loss: 0.0310253 | val_loss: 0.0312582 | Time: 26162.2 ms [2021-05-01 00:35:08 main:581] : INFO : Epoch 25 | loss: 0.0310194 | val_loss: 0.0312531 | Time: 25343.8 ms [2021-05-01 00:35:34 main:581] : INFO : Epoch 26 | loss: 0.0310223 | val_loss: 0.0312633 | Time: 25570.4 ms [2021-05-01 00:35:58 main:581] : INFO : Epoch 27 | loss: 0.0310174 | val_loss: 0.0312754 | Time: 24861.9 ms [2021-05-01 00:36:22 main:581] : INFO : Epoch 28 | loss: 0.0310115 | val_loss: 0.0312599 | Time: 23803.2 ms [2021-05-01 00:36:46 main:581] : INFO : Epoch 29 | loss: 0.0310139 | val_loss: 0.0312478 | Time: 23769.5 ms [2021-05-01 00:37:12 main:581] : INFO : Epoch 30 | loss: 0.0310146 | val_loss: 0.0312535 | Time: 26283.3 ms [2021-05-01 00:37:36 main:581] : INFO : Epoch 31 | loss: 0.0310109 | val_loss: 0.0312577 | Time: 24162.2 ms [2021-05-01 00:38:04 main:581] : INFO : Epoch 32 | loss: 0.031008 | val_loss: 0.031271 | Time: 27656.3 ms [2021-05-01 00:38:27 main:581] : INFO : Epoch 33 | loss: 0.0310238 | val_loss: 0.0312598 | Time: 22783.9 ms [2021-05-01 00:38:48 main:581] : INFO : Epoch 34 | loss: 0.0310153 | val_loss: 0.031252 | Time: 21592.7 ms [2021-05-01 00:39:12 main:581] : INFO : Epoch 35 | loss: 0.0310122 | val_loss: 0.0312599 | Time: 23059 ms [2021-05-01 00:39:36 main:581] : INFO : Epoch 36 | loss: 0.0310191 | val_loss: 0.0312714 | Time: 24415.8 ms [2021-05-01 00:40:02 main:581] : INFO : Epoch 37 | loss: 0.0310218 | val_loss: 0.0312594 | Time: 26376.1 ms [2021-05-01 00:40:25 main:581] : INFO : Epoch 38 | loss: 0.0310237 | val_loss: 0.0312437 | Time: 22659.5 ms [2021-05-01 00:40:49 main:581] : INFO : Epoch 39 | loss: 0.0310214 | val_loss: 0.0312689 | Time: 24335.9 ms [2021-05-01 00:41:15 main:581] : INFO : Epoch 40 | loss: 0.0310174 | val_loss: 0.0312553 | Time: 25844.7 ms [2021-05-01 00:41:45 main:581] : INFO : Epoch 41 | loss: 0.031016 | val_loss: 0.0312447 | Time: 29371.6 ms [2021-05-01 00:42:09 main:581] : INFO : Epoch 42 | loss: 0.0310125 | val_loss: 0.031269 | Time: 24631 ms [2021-05-01 00:42:32 main:581] : INFO : Epoch 43 | loss: 0.0310095 | val_loss: 0.0312569 | Time: 23087.6 ms [2021-05-01 00:42:58 main:581] : INFO : Epoch 44 | loss: 0.0310141 | val_loss: 0.0312526 | Time: 25680.6 ms [2021-05-01 00:43:21 main:581] : INFO : Epoch 45 | loss: 0.0310277 | val_loss: 0.0312254 | Time: 23283.6 ms [2021-05-01 00:43:47 main:581] : INFO : Epoch 46 | loss: 0.0310137 | val_loss: 0.0312523 | Time: 25599.3 ms [2021-05-01 00:44:14 main:581] : INFO : Epoch 47 | loss: 0.0310117 | val_loss: 0.0312546 | Time: 27003.3 ms [2021-05-01 00:44:42 main:581] : INFO : Epoch 48 | loss: 0.0310119 | val_loss: 0.0312643 | Time: 28460.8 ms [2021-05-01 00:45:10 main:581] : INFO : Epoch 49 | loss: 0.0310207 | val_loss: 0.0312692 | Time: 27940.1 ms [2021-05-01 00:45:36 main:581] : INFO : Epoch 50 | loss: 0.0310207 | val_loss: 0.0312623 | Time: 25359.1 ms [2021-05-01 00:46:03 main:581] : INFO : Epoch 51 | loss: 0.0310119 | val_loss: 0.0312576 | Time: 27527.8 ms [2021-05-01 00:46:31 main:581] : INFO : Epoch 52 | loss: 0.0310143 | val_loss: 0.0312587 | Time: 27667.8 ms [2021-05-01 00:47:00 main:581] : INFO : Epoch 53 | loss: 0.0310152 | val_loss: 0.0312637 | Time: 28743.8 ms [2021-05-01 00:47:29 main:581] : INFO : Epoch 54 | loss: 0.0310078 | val_loss: 0.0312695 | Time: 29069.8 ms [2021-05-01 00:47:52 main:581] : INFO : Epoch 55 | loss: 0.0310072 | val_loss: 0.0312524 | Time: 23853.8 ms [2021-05-01 00:48:18 main:581] : INFO : Epoch 56 | loss: 0.0310073 | val_loss: 0.0312591 | Time: 25323.8 ms [2021-05-01 00:48:46 main:581] : INFO : Epoch 57 | loss: 0.0310184 | val_loss: 0.0312453 | Time: 27724.1 ms [2021-05-01 00:49:07 main:581] : INFO : Epoch 58 | loss: 0.0310136 | val_loss: 0.0312478 | Time: 21641 ms [2021-05-01 00:49:34 main:581] : INFO : Epoch 59 | loss: 0.0310129 | val_loss: 0.0312494 | Time: 26730.4 ms [2021-05-01 00:50:01 main:581] : INFO : Epoch 60 | loss: 0.0310171 | val_loss: 0.0312475 | Time: 27303.5 ms [2021-05-01 00:50:25 main:581] : INFO : Epoch 61 | loss: 0.0310114 | val_loss: 0.0312573 | Time: 23333.9 ms [2021-05-01 00:50:51 main:581] : INFO : Epoch 62 | loss: 0.0310229 | val_loss: 0.0312646 | Time: 26706 ms [2021-05-01 00:51:16 main:581] : INFO : Epoch 63 | loss: 0.0310226 | val_loss: 0.0312475 | Time: 24263.8 ms [2021-05-01 00:51:44 main:581] : INFO : Epoch 64 | loss: 0.0310173 | val_loss: 0.0312665 | Time: 28287.5 ms [2021-05-01 00:52:13 main:581] : INFO : Epoch 65 | loss: 0.0310055 | val_loss: 0.0312395 | Time: 29137.3 ms [2021-05-01 00:52:37 main:581] : INFO : Epoch 66 | loss: 0.0310055 | val_loss: 0.0312557 | Time: 24426.6 ms [2021-05-01 00:53:06 main:581] : INFO : Epoch 67 | loss: 0.0310071 | val_loss: 0.0312503 | Time: 28631.8 ms [2021-05-01 00:53:30 main:581] : INFO : Epoch 68 | loss: 0.0310106 | val_loss: 0.031267 | Time: 24308.9 ms [2021-05-01 00:53:57 main:581] : INFO : Epoch 69 | loss: 0.031011 | val_loss: 0.0312669 | Time: 26924.3 ms [2021-05-01 00:54:24 main:581] : INFO : Epoch 70 | loss: 0.0310114 | val_loss: 0.0312474 | Time: 27194 ms [2021-05-01 00:54:51 main:581] : INFO : Epoch 71 | loss: 0.0310141 | val_loss: 0.0312629 | Time: 26403.7 ms [2021-05-01 00:55:18 main:581] : INFO : Epoch 72 | loss: 0.0310096 | val_loss: 0.0312676 | Time: 27023.8 ms [2021-05-01 00:55:47 main:581] : INFO : Epoch 73 | loss: 0.0310133 | val_loss: 0.0312477 | Time: 28796.5 ms [2021-05-01 00:56:13 main:581] : INFO : Epoch 74 | loss: 0.0310243 | val_loss: 0.0312713 | Time: 26775.1 ms [2021-05-01 00:56:40 main:581] : INFO : Epoch 75 | loss: 0.0310131 | val_loss: 0.0312505 | Time: 26851.6 ms [2021-05-01 00:57:05 main:581] : INFO : Epoch 76 | loss: 0.0310082 | val_loss: 0.0312897 | Time: 24623.1 ms [2021-05-01 00:57:33 main:581] : INFO : Epoch 77 | loss: 0.03101 | val_loss: 0.0312543 | Time: 28141.5 ms [2021-05-01 00:58:00 main:581] : INFO : Epoch 78 | loss: 0.0310062 | val_loss: 0.0312636 | Time: 26882.6 ms [2021-05-01 00:58:27 main:581] : INFO : Epoch 79 | loss: 0.0310128 | val_loss: 0.0312704 | Time: 26915.1 ms [2021-05-01 00:58:52 main:581] : INFO : Epoch 80 | loss: 0.0310075 | val_loss: 0.0312572 | Time: 24699.6 ms [2021-05-01 00:59:16 main:581] : INFO : Epoch 81 | loss: 0.0310171 | val_loss: 0.0312677 | Time: 23996.8 ms [2021-05-01 00:59:38 main:581] : INFO : Epoch 82 | loss: 0.0310069 | val_loss: 0.0312669 | Time: 21995.8 ms [2021-05-01 01:00:05 main:581] : INFO : Epoch 83 | loss: 0.031005 | val_loss: 0.031272 | Time: 27083.8 ms [2021-05-01 01:00:29 main:581] : INFO : Epoch 84 | loss: 0.0310085 | val_loss: 0.0312793 | Time: 24455.7 ms [2021-05-01 01:00:56 main:581] : INFO : Epoch 85 | loss: 0.0310033 | val_loss: 0.0312622 | Time: 27176 ms [2021-05-01 01:01:24 main:581] : INFO : Epoch 86 | loss: 0.0310065 | val_loss: 0.0312814 | Time: 27307.6 ms [2021-05-01 01:01:48 main:581] : INFO : Epoch 87 | loss: 0.031019 | val_loss: 0.0312779 | Time: 24639.7 ms [2021-05-01 01:02:15 main:581] : INFO : Epoch 88 | loss: 0.0310179 | val_loss: 0.0312673 | Time: 26744.6 ms [2021-05-01 01:02:39 main:581] : INFO : Epoch 89 | loss: 0.0310166 | val_loss: 0.0312398 | Time: 24322.4 ms [2021-05-01 01:03:06 main:581] : INFO : Epoch 90 | loss: 0.0310089 | val_loss: 0.0312855 | Time: 26740.4 ms [2021-05-01 01:03:32 main:581] : INFO : Epoch 91 | loss: 0.0310067 | val_loss: 0.0312633 | Time: 26059.7 ms [2021-05-01 01:03:59 main:581] : INFO : Epoch 92 | loss: 0.0310021 | val_loss: 0.0312503 | Time: 26609.1 ms [2021-05-01 01:04:26 main:581] : INFO : Epoch 93 | loss: 0.0310075 | val_loss: 0.0312595 | Time: 27390.8 ms [2021-05-01 01:04:51 main:581] : INFO : Epoch 94 | loss: 0.031013 | val_loss: 0.0312711 | Time: 25219.4 ms [2021-05-01 01:05:17 main:581] : INFO : Epoch 95 | loss: 0.0310201 | val_loss: 0.0312616 | Time: 25601.2 ms [2021-05-01 01:05:44 main:581] : INFO : Epoch 96 | loss: 0.0310185 | val_loss: 0.0312455 | Time: 27282.7 ms [2021-05-01 01:06:13 main:581] : INFO : Epoch 97 | loss: 0.0310168 | val_loss: 0.0312611 | Time: 28839.1 ms [2021-05-01 01:06:39 main:581] : INFO : Epoch 98 | loss: 0.0310125 | val_loss: 0.0312482 | Time: 26092 ms [2021-05-01 01:07:05 main:581] : INFO : Epoch 99 | loss: 0.0310166 | val_loss: 0.0312456 | Time: 25887.8 ms [2021-05-01 01:07:31 main:581] : INFO : Epoch 100 | loss: 0.0310336 | val_loss: 0.0312567 | Time: 25847.8 ms [2021-05-01 01:07:58 main:581] : INFO : Epoch 101 | loss: 0.0310206 | val_loss: 0.0312517 | Time: 26917.9 ms [2021-05-01 01:08:24 main:581] : INFO : Epoch 102 | loss: 0.0310139 | val_loss: 0.0312561 | Time: 26637.4 ms [2021-05-01 01:08:53 main:581] : INFO : Epoch 103 | loss: 0.0310133 | val_loss: 0.0312685 | Time: 28523.7 ms [2021-05-01 01:09:21 main:581] : INFO : Epoch 104 | loss: 0.0310173 | val_loss: 0.0312864 | Time: 28511.8 ms [2021-05-01 01:09:48 main:581] : INFO : Epoch 105 | loss: 0.0310268 | val_loss: 0.0312654 | Time: 26988.8 ms [2021-05-01 01:10:11 main:581] : INFO : Epoch 106 | loss: 0.0310196 | val_loss: 0.0312638 | Time: 22785.1 ms [2021-05-01 01:10:37 main:581] : INFO : Epoch 107 | loss: 0.0310251 | val_loss: 0.0312622 | Time: 25805.3 ms [2021-05-01 01:11:05 main:581] : INFO : Epoch 108 | loss: 0.0310324 | val_loss: 0.0312667 | Time: 27750.3 ms [2021-05-01 01:11:30 main:581] : INFO : Epoch 109 | loss: 0.0310251 | val_loss: 0.0312685 | Time: 24816.5 ms [2021-05-01 01:11:59 main:581] : INFO : Epoch 110 | loss: 0.0310177 | val_loss: 0.0312746 | Time: 28980.4 ms [2021-05-01 01:12:25 main:581] : INFO : Epoch 111 | loss: 0.0310146 | val_loss: 0.0312724 | Time: 26726.3 ms [2021-05-01 01:12:52 main:581] : INFO : Epoch 112 | loss: 0.0310183 | val_loss: 0.0312524 | Time: 26875.9 ms [2021-05-01 01:13:18 main:581] : INFO : Epoch 113 | loss: 0.031003 | val_loss: 0.0312577 | Time: 26037 ms [2021-05-01 01:13:45 main:581] : INFO : Epoch 114 | loss: 0.0310013 | val_loss: 0.0312907 | Time: 26799.4 ms [2021-05-01 01:14:14 main:581] : INFO : Epoch 115 | loss: 0.0310059 | val_loss: 0.0312777 | Time: 28829.6 ms [2021-05-01 01:14:38 main:581] : INFO : Epoch 116 | loss: 0.0310059 | val_loss: 0.0312342 | Time: 23746.1 ms [2021-05-01 01:15:03 main:581] : INFO : Epoch 117 | loss: 0.0310224 | val_loss: 0.0312747 | Time: 25237.5 ms [2021-05-01 01:15:29 main:581] : INFO : Epoch 118 | loss: 0.0310181 | val_loss: 0.0312555 | Time: 26036.3 ms [2021-05-01 01:15:55 main:581] : INFO : Epoch 119 | loss: 0.0310296 | val_loss: 0.0312402 | Time: 26389.6 ms [2021-05-01 01:16:22 main:581] : INFO : Epoch 120 | loss: 0.0310296 | val_loss: 0.031258 | Time: 26823.8 ms [2021-05-01 01:16:49 main:581] : INFO : Epoch 121 | loss: 0.0310171 | val_loss: 0.0312565 | Time: 26575.4 ms [2021-05-01 01:17:14 main:581] : INFO : Epoch 122 | loss: 0.0310089 | val_loss: 0.0312677 | Time: 25267.7 ms [2021-05-01 01:17:42 main:581] : INFO : Epoch 123 | loss: 0.0310159 | val_loss: 0.0312897 | Time: 27815.8 ms [2021-05-01 01:18:07 main:581] : INFO : Epoch 124 | loss: 0.0310222 | val_loss: 0.0312456 | Time: 25647.7 ms [2021-05-01 01:18:31 main:581] : INFO : Epoch 125 | loss: 0.0310217 | val_loss: 0.0312634 | Time: 23427.7 ms [2021-05-01 01:18:56 main:581] : INFO : Epoch 126 | loss: 0.0310231 | val_loss: 0.0312392 | Time: 25459.8 ms [2021-05-01 01:19:22 main:581] : INFO : Epoch 127 | loss: 0.0310088 | val_loss: 0.0312773 | Time: 25851.7 ms [2021-05-01 01:19:46 main:581] : INFO : Epoch 128 | loss: 0.0310051 | val_loss: 0.0312494 | Time: 24101.7 ms [2021-05-01 01:19:46 main:604] : INFO : Saving trained model to model-final.pt, val_loss 0.0312494 [2021-05-01 01:19:46 main:610] : INFO : Saving end state to config to file [2021-05-01 01:19:46 main:615] : INFO : Success, exiting.. 01:19:46 (11769): called boinc_finish(0) </stderr_txt> ]]>
©2022 MLC@Home Team
A project of the Cognition, Robotics, and Learning (CORAL) Lab at the University of Maryland, Baltimore County (UMBC)