| Name | ParityModified-1607233780-3878-66_0 |
| Workunit | 3079139 |
| Created | 1 May 2021, 3:43:11 UTC |
| Sent | 1 May 2021, 3:43:37 UTC |
| Report deadline | 8 May 2021, 3:43:37 UTC |
| Received | 1 May 2021, 6:32:06 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 11158 |
| Run time | 55 min 1 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 |
<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 22:36:32 (11448): 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 22:36:32 main:442] : INFO : Set logging level to 1 [2021-04-30 22:36:32 main:448] : INFO : Running in BOINC Client mode [2021-04-30 22:36:32 main:451] : INFO : Resolving all filenames [2021-04-30 22:36:32 main:459] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 (exists = 1) [2021-04-30 22:36:32 main:459] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1607233780-3878-66_0_r1805991023_1 (exists = 0) [2021-04-30 22:36:32 main:459] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1607233780-3878-66_0_r1805991023_0 (exists = 0) [2021-04-30 22:36:32 main:459] : INFO : Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1607233780-3878-66 (exists = 1) [2021-04-30 22:36:32 main:459] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2021-04-30 22:36:32 main:479] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 [2021-04-30 22:36:32 main:481] : INFO : Configuration: [2021-04-30 22:36:32 main:482] : INFO : Model type: GRU [2021-04-30 22:36:32 main:483] : INFO : Validation Loss Threshold: 0.0001 [2021-04-30 22:36:32 main:484] : INFO : Max Epochs: 128 [2021-04-30 22:36:32 main:485] : INFO : Batch Size: 128 [2021-04-30 22:36:32 main:486] : INFO : Learning Rate: 0.01 [2021-04-30 22:36:32 main:487] : INFO : Patience: 10 [2021-04-30 22:36:32 main:488] : INFO : Hidden Width: 12 [2021-04-30 22:36:32 main:489] : INFO : # Recurrent Layers: 4 [2021-04-30 22:36:32 main:490] : INFO : # Backend Layers: 4 [2021-04-30 22:36:32 main:491] : INFO : # Threads: 1 [2021-04-30 22:36:32 main:493] : INFO : Preparing Dataset [2021-04-30 22:36:32 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 22:36:33 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 22:36:34 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2021-04-30 22:36:34 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 22:36:34 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 22:36:34 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2021-04-30 22:36:34 main:501] : INFO : Creating Model [2021-04-30 22:36:34 main:514] : INFO : Preparing config file [2021-04-30 22:36:34 main:526] : INFO : Creating new config file [2021-04-30 22:36:34 main:545] : INFO : This is a continuation WU, loading previous network [2021-04-30 22:36:34 main:566] : INFO : Loading DataLoader into Memory [2021-04-30 22:36:34 main:569] : INFO : Starting Training [2021-04-30 22:37:17 main:581] : INFO : Epoch 1 | loss: 0.0310516 | val_loss: 0.0312216 | Time: 42526.3 ms [2021-04-30 22:37:41 main:581] : INFO : Epoch 2 | loss: 0.031 | val_loss: 0.0312322 | Time: 24067.8 ms [2021-04-30 22:38:08 main:581] : INFO : Epoch 3 | loss: 0.0309937 | val_loss: 0.0312235 | Time: 26727.8 ms [2021-04-30 22:38:32 main:581] : INFO : Epoch 4 | loss: 0.0309821 | val_loss: 0.0312842 | Time: 24787.8 ms [2021-04-30 22:39:00 main:581] : INFO : Epoch 5 | loss: 0.0309807 | val_loss: 0.0312995 | Time: 27259.9 ms [2021-04-30 22:39:28 main:581] : INFO : Epoch 6 | loss: 0.0309665 | val_loss: 0.0312749 | Time: 28381.6 ms [2021-04-30 22:39:54 main:581] : INFO : Epoch 7 | loss: 0.0309673 | val_loss: 0.0312805 | Time: 25839.5 ms [2021-04-30 22:40:21 main:581] : INFO : Epoch 8 | loss: 0.0309699 | val_loss: 0.0312798 | Time: 27498.3 ms [2021-04-30 22:40:48 main:581] : INFO : Epoch 9 | loss: 0.0309652 | val_loss: 0.031307 | Time: 26518.4 ms [2021-04-30 22:41:14 main:581] : INFO : Epoch 10 | loss: 0.030964 | val_loss: 0.0312461 | Time: 25873.4 ms [2021-04-30 22:41:39 main:581] : INFO : Epoch 11 | loss: 0.0309721 | val_loss: 0.0312543 | Time: 24940.2 ms [2021-04-30 22:42:03 main:581] : INFO : Epoch 12 | loss: 0.030962 | val_loss: 0.0312801 | Time: 24475.2 ms [2021-04-30 22:42:30 main:581] : INFO : Epoch 13 | loss: 0.030963 | val_loss: 0.0312837 | Time: 26356 ms [2021-04-30 22:42:56 main:581] : INFO : Epoch 14 | loss: 0.0309652 | val_loss: 0.031253 | Time: 26226 ms [2021-04-30 22:43:21 main:581] : INFO : Epoch 15 | loss: 0.0309687 | val_loss: 0.0312511 | Time: 25287.7 ms [2021-04-30 22:43:47 main:581] : INFO : Epoch 16 | loss: 0.0309663 | val_loss: 0.0312475 | Time: 25589.7 ms [2021-04-30 22:44:10 main:581] : INFO : Epoch 17 | loss: 0.030961 | val_loss: 0.0312609 | Time: 22873.9 ms [2021-04-30 22:44:33 main:581] : INFO : Epoch 18 | loss: 0.030956 | val_loss: 0.0312721 | Time: 23156.8 ms [2021-04-30 22:45:00 main:581] : INFO : Epoch 19 | loss: 0.0309734 | val_loss: 0.0312364 | Time: 27264.8 ms [2021-04-30 22:45:23 main:581] : INFO : Epoch 20 | loss: 0.0309628 | val_loss: 0.0312773 | Time: 22574.6 ms [2021-04-30 22:45:44 main:581] : INFO : Epoch 21 | loss: 0.0309611 | val_loss: 0.031291 | Time: 21817.1 ms [2021-04-30 22:46:09 main:581] : INFO : Epoch 22 | loss: 0.0309675 | val_loss: 0.0312648 | Time: 24495.9 ms [2021-04-30 22:46:35 main:581] : INFO : Epoch 23 | loss: 0.030977 | val_loss: 0.031286 | Time: 26076.6 ms [2021-04-30 22:46:59 main:581] : INFO : Epoch 24 | loss: 0.0309718 | val_loss: 0.0312587 | Time: 24450.8 ms [2021-04-30 22:47:22 main:581] : INFO : Epoch 25 | loss: 0.0309593 | val_loss: 0.0312852 | Time: 22346.1 ms [2021-04-30 22:47:47 main:581] : INFO : Epoch 26 | loss: 0.0309638 | val_loss: 0.0313192 | Time: 24937.9 ms [2021-04-30 22:48:12 main:581] : INFO : Epoch 27 | loss: 0.0309628 | val_loss: 0.0312579 | Time: 25570.4 ms [2021-04-30 22:48:36 main:581] : INFO : Epoch 28 | loss: 0.0309664 | val_loss: 0.0312567 | Time: 23716.9 ms [2021-04-30 22:49:03 main:581] : INFO : Epoch 29 | loss: 0.0309646 | val_loss: 0.0312809 | Time: 26908.2 ms [2021-04-30 22:49:28 main:581] : INFO : Epoch 30 | loss: 0.0309619 | val_loss: 0.0312697 | Time: 25310.5 ms [2021-04-30 22:49:51 main:581] : INFO : Epoch 31 | loss: 0.0309647 | val_loss: 0.0312599 | Time: 23078 ms [2021-04-30 22:50:18 main:581] : INFO : Epoch 32 | loss: 0.0309598 | val_loss: 0.0312615 | Time: 26899.5 ms [2021-04-30 22:50:44 main:581] : INFO : Epoch 33 | loss: 0.0309581 | val_loss: 0.0313101 | Time: 25963.3 ms [2021-04-30 22:51:06 main:581] : INFO : Epoch 34 | loss: 0.0309553 | val_loss: 0.0312814 | Time: 22234.2 ms [2021-04-30 22:51:33 main:581] : INFO : Epoch 35 | loss: 0.030962 | val_loss: 0.0312939 | Time: 26169.5 ms [2021-04-30 22:51:56 main:581] : INFO : Epoch 36 | loss: 0.0309576 | val_loss: 0.0312628 | Time: 23178 ms [2021-04-30 22:52:23 main:581] : INFO : Epoch 37 | loss: 0.0309665 | val_loss: 0.0312788 | Time: 27397.7 ms [2021-04-30 22:52:52 main:581] : INFO : Epoch 38 | loss: 0.0309652 | val_loss: 0.0312899 | Time: 28696 ms [2021-04-30 22:53:16 main:581] : INFO : Epoch 39 | loss: 0.0309769 | val_loss: 0.0312874 | Time: 24395.2 ms [2021-04-30 22:53:40 main:581] : INFO : Epoch 40 | loss: 0.0309747 | val_loss: 0.0312892 | Time: 23907.9 ms [2021-04-30 22:54:04 main:581] : INFO : Epoch 41 | loss: 0.030962 | val_loss: 0.0312662 | Time: 23628.5 ms [2021-04-30 22:54:30 main:581] : INFO : Epoch 42 | loss: 0.0309721 | val_loss: 0.0312383 | Time: 25941 ms [2021-04-30 22:54:55 main:581] : INFO : Epoch 43 | loss: 0.0309592 | val_loss: 0.0312785 | Time: 25629.4 ms [2021-04-30 22:55:21 main:581] : INFO : Epoch 44 | loss: 0.0309652 | val_loss: 0.0312611 | Time: 25856.1 ms [2021-04-30 22:55:49 main:581] : INFO : Epoch 45 | loss: 0.0309782 | val_loss: 0.0312434 | Time: 27709 ms [2021-04-30 22:56:14 main:581] : INFO : Epoch 46 | loss: 0.0309632 | val_loss: 0.0312758 | Time: 25064 ms [2021-04-30 22:56:42 main:581] : INFO : Epoch 47 | loss: 0.0309552 | val_loss: 0.0312389 | Time: 28504.9 ms [2021-04-30 22:57:09 main:581] : INFO : Epoch 48 | loss: 0.0309588 | val_loss: 0.0312391 | Time: 26833.6 ms [2021-04-30 22:57:36 main:581] : INFO : Epoch 49 | loss: 0.0309573 | val_loss: 0.0312752 | Time: 26515.9 ms [2021-04-30 22:58:02 main:581] : INFO : Epoch 50 | loss: 0.0309678 | val_loss: 0.031277 | Time: 25895.8 ms [2021-04-30 22:58:30 main:581] : INFO : Epoch 51 | loss: 0.030967 | val_loss: 0.031284 | Time: 27885.1 ms [2021-04-30 22:58:58 main:581] : INFO : Epoch 52 | loss: 0.0309533 | val_loss: 0.0312746 | Time: 28910.5 ms [2021-04-30 22:59:25 main:581] : INFO : Epoch 53 | loss: 0.0309645 | val_loss: 0.0312548 | Time: 26375.8 ms [2021-04-30 22:59:48 main:581] : INFO : Epoch 54 | loss: 0.0309629 | val_loss: 0.0312623 | Time: 23499.8 ms [2021-04-30 23:00:16 main:581] : INFO : Epoch 55 | loss: 0.0309655 | val_loss: 0.0312681 | Time: 27243.8 ms [2021-04-30 23:00:39 main:581] : INFO : Epoch 56 | loss: 0.0309589 | val_loss: 0.0312781 | Time: 23445.8 ms [2021-04-30 23:01:04 main:581] : INFO : Epoch 57 | loss: 0.0309527 | val_loss: 0.0312964 | Time: 25155 ms [2021-04-30 23:01:31 main:581] : INFO : Epoch 58 | loss: 0.0309526 | val_loss: 0.0312815 | Time: 27198.6 ms [2021-04-30 23:01:56 main:581] : INFO : Epoch 59 | loss: 0.030953 | val_loss: 0.0312688 | Time: 24579.8 ms [2021-04-30 23:02:19 main:581] : INFO : Epoch 60 | loss: 0.0309591 | val_loss: 0.0312777 | Time: 22761.1 ms [2021-04-30 23:02:40 main:581] : INFO : Epoch 61 | loss: 0.0309685 | val_loss: 0.0312587 | Time: 20968.9 ms [2021-04-30 23:03:02 main:581] : INFO : Epoch 62 | loss: 0.0309641 | val_loss: 0.0312546 | Time: 22547.8 ms [2021-04-30 23:03:31 main:581] : INFO : Epoch 63 | loss: 0.030967 | val_loss: 0.0312536 | Time: 28597.6 ms [2021-04-30 23:04:00 main:581] : INFO : Epoch 64 | loss: 0.0309641 | val_loss: 0.0313032 | Time: 28913.3 ms [2021-04-30 23:04:27 main:581] : INFO : Epoch 65 | loss: 0.0309697 | val_loss: 0.0312782 | Time: 26922.7 ms [2021-04-30 23:04:54 main:581] : INFO : Epoch 66 | loss: 0.0309624 | val_loss: 0.0312592 | Time: 26969.9 ms [2021-04-30 23:05:19 main:581] : INFO : Epoch 67 | loss: 0.0309556 | val_loss: 0.0312587 | Time: 25025.3 ms [2021-04-30 23:05:45 main:581] : INFO : Epoch 68 | loss: 0.0309609 | val_loss: 0.0312802 | Time: 26475.7 ms [2021-04-30 23:06:10 main:581] : INFO : Epoch 69 | loss: 0.0309649 | val_loss: 0.0312549 | Time: 24363.5 ms [2021-04-30 23:06:38 main:581] : INFO : Epoch 70 | loss: 0.0309639 | val_loss: 0.0312548 | Time: 28592.1 ms [2021-04-30 23:07:02 main:581] : INFO : Epoch 71 | loss: 0.0309561 | val_loss: 0.0312545 | Time: 24196.3 ms [2021-04-30 23:07:30 main:581] : INFO : Epoch 72 | loss: 0.0309615 | val_loss: 0.0312406 | Time: 27551.9 ms [2021-04-30 23:07:55 main:581] : INFO : Epoch 73 | loss: 0.0309614 | val_loss: 0.0312834 | Time: 25379.2 ms [2021-04-30 23:08:20 main:581] : INFO : Epoch 74 | loss: 0.0309625 | val_loss: 0.0312767 | Time: 24783.7 ms [2021-04-30 23:08:47 main:581] : INFO : Epoch 75 | loss: 0.0309671 | val_loss: 0.0312825 | Time: 26481.7 ms [2021-04-30 23:09:14 main:581] : INFO : Epoch 76 | loss: 0.0309699 | val_loss: 0.0312803 | Time: 27605.9 ms [2021-04-30 23:09:38 main:581] : INFO : Epoch 77 | loss: 0.0309691 | val_loss: 0.03127 | Time: 23583.7 ms [2021-04-30 23:10:03 main:581] : INFO : Epoch 78 | loss: 0.0309679 | val_loss: 0.0312499 | Time: 25742.1 ms [2021-04-30 23:10:31 main:581] : INFO : Epoch 79 | loss: 0.0309598 | val_loss: 0.0312691 | Time: 27114.8 ms [2021-04-30 23:10:59 main:581] : INFO : Epoch 80 | loss: 0.0309666 | val_loss: 0.0312428 | Time: 27970.5 ms [2021-04-30 23:11:24 main:581] : INFO : Epoch 81 | loss: 0.0309689 | val_loss: 0.0312841 | Time: 25802.6 ms [2021-04-30 23:11:51 main:581] : INFO : Epoch 82 | loss: 0.0309634 | val_loss: 0.0312738 | Time: 26601 ms [2021-04-30 23:12:18 main:581] : INFO : Epoch 83 | loss: 0.0309731 | val_loss: 0.0312285 | Time: 26979.7 ms [2021-04-30 23:12:46 main:581] : INFO : Epoch 84 | loss: 0.0309772 | val_loss: 0.0312594 | Time: 27899.8 ms [2021-04-30 23:13:12 main:581] : INFO : Epoch 85 | loss: 0.0309603 | val_loss: 0.0312928 | Time: 26423.8 ms [2021-04-30 23:13:38 main:581] : INFO : Epoch 86 | loss: 0.0309607 | val_loss: 0.0312613 | Time: 25702.9 ms [2021-04-30 23:14:06 main:581] : INFO : Epoch 87 | loss: 0.0309666 | val_loss: 0.0312464 | Time: 27738.7 ms [2021-04-30 23:14:28 main:581] : INFO : Epoch 88 | loss: 0.0309609 | val_loss: 0.0312952 | Time: 22113.7 ms [2021-04-30 23:14:52 main:581] : INFO : Epoch 89 | loss: 0.0309581 | val_loss: 0.0313043 | Time: 24155.9 ms [2021-04-30 23:15:15 main:581] : INFO : Epoch 90 | loss: 0.0309624 | val_loss: 0.0312883 | Time: 22840.1 ms [2021-04-30 23:15:39 main:581] : INFO : Epoch 91 | loss: 0.0309623 | val_loss: 0.0312661 | Time: 24303.4 ms [2021-04-30 23:16:08 main:581] : INFO : Epoch 92 | loss: 0.0309568 | val_loss: 0.0312711 | Time: 28427.8 ms [2021-04-30 23:16:36 main:581] : INFO : Epoch 93 | loss: 0.0309654 | val_loss: 0.0312563 | Time: 28939.7 ms [2021-04-30 23:17:01 main:581] : INFO : Epoch 94 | loss: 0.0309762 | val_loss: 0.0312595 | Time: 24144.1 ms [2021-04-30 23:17:26 main:581] : INFO : Epoch 95 | loss: 0.0309632 | val_loss: 0.0312944 | Time: 25558.6 ms [2021-04-30 23:17:55 main:581] : INFO : Epoch 96 | loss: 0.0309555 | val_loss: 0.0312626 | Time: 28560.6 ms [2021-04-30 23:18:20 main:581] : INFO : Epoch 97 | loss: 0.030957 | val_loss: 0.0312602 | Time: 24793.8 ms [2021-04-30 23:18:46 main:581] : INFO : Epoch 98 | loss: 0.0309658 | val_loss: 0.0312501 | Time: 26061.5 ms [2021-04-30 23:19:12 main:581] : INFO : Epoch 99 | loss: 0.030955 | val_loss: 0.0312802 | Time: 26364.2 ms [2021-04-30 23:19:40 main:581] : INFO : Epoch 100 | loss: 0.0309617 | val_loss: 0.0312988 | Time: 27551.5 ms [2021-04-30 23:20:04 main:581] : INFO : Epoch 101 | loss: 0.0309642 | val_loss: 0.031299 | Time: 24490.8 ms [2021-04-30 23:20:30 main:581] : INFO : Epoch 102 | loss: 0.0309582 | val_loss: 0.0312773 | Time: 25872.5 ms [2021-04-30 23:20:57 main:581] : INFO : Epoch 103 | loss: 0.0309639 | val_loss: 0.0312519 | Time: 26788.1 ms [2021-04-30 23:21:20 main:581] : INFO : Epoch 104 | loss: 0.0309686 | val_loss: 0.0312438 | Time: 23219.7 ms [2021-04-30 23:21:46 main:581] : INFO : Epoch 105 | loss: 0.0309656 | val_loss: 0.0312545 | Time: 25877.1 ms [2021-04-30 23:22:09 main:581] : INFO : Epoch 106 | loss: 0.0309626 | val_loss: 0.0312853 | Time: 22927.8 ms [2021-04-30 23:22:36 main:581] : INFO : Epoch 107 | loss: 0.0309774 | val_loss: 0.0312477 | Time: 27154.4 ms [2021-04-30 23:23:01 main:581] : INFO : Epoch 108 | loss: 0.0309809 | val_loss: 0.0312356 | Time: 24969.7 ms [2021-04-30 23:23:30 main:581] : INFO : Epoch 109 | loss: 0.0309698 | val_loss: 0.0312451 | Time: 29009.8 ms [2021-04-30 23:23:58 main:581] : INFO : Epoch 110 | loss: 0.0309602 | val_loss: 0.0312507 | Time: 28047.7 ms [2021-04-30 23:24:23 main:581] : INFO : Epoch 111 | loss: 0.030962 | val_loss: 0.0312718 | Time: 25068 ms [2021-04-30 23:24:47 main:581] : INFO : Epoch 112 | loss: 0.0309549 | val_loss: 0.0312879 | Time: 23867.5 ms [2021-04-30 23:25:12 main:581] : INFO : Epoch 113 | loss: 0.0309566 | val_loss: 0.0312772 | Time: 25127.7 ms [2021-04-30 23:25:37 main:581] : INFO : Epoch 114 | loss: 0.0309605 | val_loss: 0.0312483 | Time: 24988 ms [2021-04-30 23:25:58 main:581] : INFO : Epoch 115 | loss: 0.0309654 | val_loss: 0.0312969 | Time: 20691.5 ms [2021-04-30 23:26:22 main:581] : INFO : Epoch 116 | loss: 0.0309569 | val_loss: 0.0313058 | Time: 24007.8 ms [2021-04-30 23:26:47 main:581] : INFO : Epoch 117 | loss: 0.0309588 | val_loss: 0.031271 | Time: 25388.9 ms [2021-04-30 23:27:15 main:581] : INFO : Epoch 118 | loss: 0.0309568 | val_loss: 0.0312834 | Time: 27518.6 ms [2021-04-30 23:27:43 main:581] : INFO : Epoch 119 | loss: 0.0309669 | val_loss: 0.03128 | Time: 28879.7 ms [2021-04-30 23:28:08 main:581] : INFO : Epoch 120 | loss: 0.0309621 | val_loss: 0.0313012 | Time: 24967.8 ms [2021-04-30 23:28:35 main:581] : INFO : Epoch 121 | loss: 0.0309585 | val_loss: 0.0312566 | Time: 26691.7 ms [2021-04-30 23:29:00 main:581] : INFO : Epoch 122 | loss: 0.0309581 | val_loss: 0.0312655 | Time: 24633 ms [2021-04-30 23:29:20 main:581] : INFO : Epoch 123 | loss: 0.030952 | val_loss: 0.0312658 | Time: 20706.5 ms [2021-04-30 23:29:47 main:581] : INFO : Epoch 124 | loss: 0.0309765 | val_loss: 0.0312667 | Time: 26598.9 ms [2021-04-30 23:30:13 main:581] : INFO : Epoch 125 | loss: 0.0309634 | val_loss: 0.0312888 | Time: 26214.9 ms [2021-04-30 23:30:40 main:581] : INFO : Epoch 126 | loss: 0.0309564 | val_loss: 0.0312752 | Time: 26913.4 ms [2021-04-30 23:31:02 main:581] : INFO : Epoch 127 | loss: 0.0309542 | val_loss: 0.0312902 | Time: 21475.8 ms [2021-04-30 23:31:27 main:581] : INFO : Epoch 128 | loss: 0.0309584 | val_loss: 0.0312814 | Time: 25095.8 ms [2021-04-30 23:31:27 main:604] : INFO : Saving trained model to model-final.pt, val_loss 0.0312814 [2021-04-30 23:31:27 main:610] : INFO : Saving end state to config to file [2021-04-30 23:31:27 main:615] : INFO : Success, exiting.. 23:31:27 (11448): 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)