Task 5126758
| Name | ParityModified-1607233788-4145-55_0 |
| Workunit | 3079595 |
| Created | 1 May 2021, 7:24:17 UTC |
| Sent | 1 May 2021, 7:24:44 UTC |
| Report deadline | 8 May 2021, 7:24:44 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 | 35 min 28 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 03:10:16 (12166): 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 03:10:16 main:442] : INFO : Set logging level to 1 [2021-05-01 03:10:16 main:448] : INFO : Running in BOINC Client mode [2021-05-01 03:10:16 main:451] : INFO : Resolving all filenames [2021-05-01 03:10:16 main:459] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 (exists = 1) [2021-05-01 03:10:16 main:459] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1607233788-4145-55_0_r70356780_1 (exists = 0) [2021-05-01 03:10:16 main:459] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1607233788-4145-55_0_r70356780_0 (exists = 0) [2021-05-01 03:10:16 main:459] : INFO : Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1607233788-4145-55 (exists = 1) [2021-05-01 03:10:16 main:459] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2021-05-01 03:10:16 main:479] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 [2021-05-01 03:10:16 main:481] : INFO : Configuration: [2021-05-01 03:10:16 main:482] : INFO : Model type: GRU [2021-05-01 03:10:16 main:483] : INFO : Validation Loss Threshold: 0.0001 [2021-05-01 03:10:16 main:484] : INFO : Max Epochs: 128 [2021-05-01 03:10:16 main:485] : INFO : Batch Size: 128 [2021-05-01 03:10:16 main:486] : INFO : Learning Rate: 0.01 [2021-05-01 03:10:16 main:487] : INFO : Patience: 10 [2021-05-01 03:10:16 main:488] : INFO : Hidden Width: 12 [2021-05-01 03:10:16 main:489] : INFO : # Recurrent Layers: 4 [2021-05-01 03:10:16 main:490] : INFO : # Backend Layers: 4 [2021-05-01 03:10:16 main:491] : INFO : # Threads: 1 [2021-05-01 03:10:16 main:493] : INFO : Preparing Dataset [2021-05-01 03:10:16 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 03:10:17 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 03:10:18 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2021-05-01 03:10:18 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 03:10:18 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 03:10:18 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2021-05-01 03:10:18 main:501] : INFO : Creating Model [2021-05-01 03:10:18 main:514] : INFO : Preparing config file [2021-05-01 03:10:18 main:526] : INFO : Creating new config file [2021-05-01 03:10:18 main:545] : INFO : This is a continuation WU, loading previous network [2021-05-01 03:10:18 main:566] : INFO : Loading DataLoader into Memory [2021-05-01 03:10:18 main:569] : INFO : Starting Training [2021-05-01 03:10:55 main:581] : INFO : Epoch 1 | loss: 0.0311039 | val_loss: 0.0312387 | Time: 36373.1 ms [2021-05-01 03:11:18 main:581] : INFO : Epoch 2 | loss: 0.0310698 | val_loss: 0.0312393 | Time: 22967.4 ms [2021-05-01 03:11:45 main:581] : INFO : Epoch 3 | loss: 0.0310569 | val_loss: 0.0312658 | Time: 26972 ms [2021-05-01 03:12:12 main:581] : INFO : Epoch 4 | loss: 0.0310437 | val_loss: 0.0312508 | Time: 27093.5 ms [2021-05-01 03:12:38 main:581] : INFO : Epoch 5 | loss: 0.0310427 | val_loss: 0.0312664 | Time: 26599.8 ms [2021-05-01 03:13:04 main:581] : INFO : Epoch 6 | loss: 0.0310481 | val_loss: 0.0312569 | Time: 25460.2 ms [2021-05-01 03:13:27 main:581] : INFO : Epoch 7 | loss: 0.0310553 | val_loss: 0.0312393 | Time: 23015.7 ms [2021-05-01 03:13:53 main:581] : INFO : Epoch 8 | loss: 0.0310713 | val_loss: 0.0312133 | Time: 26311.2 ms [2021-05-01 03:14:19 main:581] : INFO : Epoch 9 | loss: 0.0310815 | val_loss: 0.0312372 | Time: 25604.2 ms [2021-05-01 03:14:45 main:581] : INFO : Epoch 10 | loss: 0.0310773 | val_loss: 0.0312417 | Time: 26703.8 ms [2021-05-01 03:15:03 main:581] : INFO : Epoch 11 | loss: 0.0310792 | val_loss: 0.0312294 | Time: 17946.4 ms [2021-05-01 03:15:18 main:581] : INFO : Epoch 12 | loss: 0.0310554 | val_loss: 0.0312343 | Time: 15047.3 ms [2021-05-01 03:15:33 main:581] : INFO : Epoch 13 | loss: 0.0310415 | val_loss: 0.0312511 | Time: 15178.6 ms [2021-05-01 03:15:49 main:581] : INFO : Epoch 14 | loss: 0.0310484 | val_loss: 0.0312427 | Time: 15127.3 ms [2021-05-01 03:16:04 main:581] : INFO : Epoch 15 | loss: 0.0310445 | val_loss: 0.0312559 | Time: 15133.4 ms [2021-05-01 03:16:19 main:581] : INFO : Epoch 16 | loss: 0.0310425 | val_loss: 0.0312633 | Time: 14833.4 ms [2021-05-01 03:16:35 main:581] : INFO : Epoch 17 | loss: 0.0310304 | val_loss: 0.0312573 | Time: 16067.9 ms [2021-05-01 03:16:50 main:581] : INFO : Epoch 18 | loss: 0.0310573 | val_loss: 0.0312405 | Time: 14935.5 ms [2021-05-01 03:17:05 main:581] : INFO : Epoch 19 | loss: 0.0310473 | val_loss: 0.0312338 | Time: 15343.3 ms [2021-05-01 03:17:21 main:581] : INFO : Epoch 20 | loss: 0.031045 | val_loss: 0.0312476 | Time: 16418.1 ms [2021-05-01 03:17:37 main:581] : INFO : Epoch 21 | loss: 0.0310496 | val_loss: 0.0312536 | Time: 16096.2 ms [2021-05-01 03:17:53 main:581] : INFO : Epoch 22 | loss: 0.0310425 | val_loss: 0.0312467 | Time: 15075.5 ms [2021-05-01 03:18:08 main:581] : INFO : Epoch 23 | loss: 0.0310367 | val_loss: 0.0312814 | Time: 15072.8 ms [2021-05-01 03:18:23 main:581] : INFO : Epoch 24 | loss: 0.0310372 | val_loss: 0.0312612 | Time: 15807 ms [2021-05-01 03:18:39 main:581] : INFO : Epoch 25 | loss: 0.0310367 | val_loss: 0.0312579 | Time: 15979.9 ms [2021-05-01 03:18:54 main:581] : INFO : Epoch 26 | loss: 0.0310428 | val_loss: 0.0312622 | Time: 15133.1 ms [2021-05-01 03:19:11 main:581] : INFO : Epoch 27 | loss: 0.0310374 | val_loss: 0.0312486 | Time: 16141.7 ms [2021-05-01 03:19:28 main:581] : INFO : Epoch 28 | loss: 0.0310352 | val_loss: 0.0312543 | Time: 16877.2 ms [2021-05-01 03:19:43 main:581] : INFO : Epoch 29 | loss: 0.0310395 | val_loss: 0.03126 | Time: 15632.8 ms [2021-05-01 03:19:58 main:581] : INFO : Epoch 30 | loss: 0.0310388 | val_loss: 0.0312641 | Time: 15086.5 ms [2021-05-01 03:20:13 main:581] : INFO : Epoch 31 | loss: 0.0310421 | val_loss: 0.0312501 | Time: 15214.3 ms [2021-05-01 03:20:28 main:581] : INFO : Epoch 32 | loss: 0.0310419 | val_loss: 0.0312547 | Time: 14933 ms [2021-05-01 03:20:44 main:581] : INFO : Epoch 33 | loss: 0.0310414 | val_loss: 0.0312739 | Time: 15498.3 ms [2021-05-01 03:20:59 main:581] : INFO : Epoch 34 | loss: 0.0310449 | val_loss: 0.0312512 | Time: 15099.1 ms [2021-05-01 03:21:15 main:581] : INFO : Epoch 35 | loss: 0.0310499 | val_loss: 0.0312519 | Time: 15798.4 ms [2021-05-01 03:21:31 main:581] : INFO : Epoch 36 | loss: 0.031049 | val_loss: 0.0312618 | Time: 16504.6 ms [2021-05-01 03:21:49 main:581] : INFO : Epoch 37 | loss: 0.0310444 | val_loss: 0.0312687 | Time: 17894.1 ms [2021-05-01 03:22:05 main:581] : INFO : Epoch 38 | loss: 0.0310533 | val_loss: 0.0312484 | Time: 15408.6 ms [2021-05-01 03:22:20 main:581] : INFO : Epoch 39 | loss: 0.0310493 | val_loss: 0.0312405 | Time: 15457.4 ms [2021-05-01 03:22:35 main:581] : INFO : Epoch 40 | loss: 0.0310733 | val_loss: 0.0312408 | Time: 15061 ms [2021-05-01 03:22:50 main:581] : INFO : Epoch 41 | loss: 0.0310731 | val_loss: 0.0312221 | Time: 15135.2 ms [2021-05-01 03:23:06 main:581] : INFO : Epoch 42 | loss: 0.0310729 | val_loss: 0.0312416 | Time: 16048.2 ms [2021-05-01 03:23:22 main:581] : INFO : Epoch 43 | loss: 0.0310528 | val_loss: 0.0312417 | Time: 15758 ms [2021-05-01 03:23:37 main:581] : INFO : Epoch 44 | loss: 0.0310426 | val_loss: 0.0312558 | Time: 14855.5 ms [2021-05-01 03:23:52 main:581] : INFO : Epoch 45 | loss: 0.0310494 | val_loss: 0.0312428 | Time: 15196.5 ms [2021-05-01 03:24:10 main:581] : INFO : Epoch 46 | loss: 0.0310505 | val_loss: 0.0312468 | Time: 17589.7 ms [2021-05-01 03:24:27 main:581] : INFO : Epoch 47 | loss: 0.0310457 | val_loss: 0.0312424 | Time: 16874.9 ms [2021-05-01 03:24:42 main:581] : INFO : Epoch 48 | loss: 0.0310525 | val_loss: 0.0312471 | Time: 15763.3 ms [2021-05-01 03:24:58 main:581] : INFO : Epoch 49 | loss: 0.0310466 | val_loss: 0.0312485 | Time: 15366.4 ms [2021-05-01 03:25:13 main:581] : INFO : Epoch 50 | loss: 0.0310398 | val_loss: 0.0312504 | Time: 15116 ms [2021-05-01 03:25:28 main:581] : INFO : Epoch 51 | loss: 0.0310617 | val_loss: 0.0312466 | Time: 15410.8 ms [2021-05-01 03:25:44 main:581] : INFO : Epoch 52 | loss: 0.0310657 | val_loss: 0.0312368 | Time: 15403.3 ms [2021-05-01 03:26:00 main:581] : INFO : Epoch 53 | loss: 0.0310545 | val_loss: 0.0312402 | Time: 15880.2 ms [2021-05-01 03:26:15 main:581] : INFO : Epoch 54 | loss: 0.0310524 | val_loss: 0.0312481 | Time: 15695.8 ms [2021-05-01 03:26:30 main:581] : INFO : Epoch 55 | loss: 0.0310387 | val_loss: 0.0312588 | Time: 14932.7 ms [2021-05-01 03:26:46 main:581] : INFO : Epoch 56 | loss: 0.0310403 | val_loss: 0.0312447 | Time: 15741.8 ms [2021-05-01 03:27:01 main:581] : INFO : Epoch 57 | loss: 0.0310386 | val_loss: 0.0312444 | Time: 15438.3 ms [2021-05-01 03:27:17 main:581] : INFO : Epoch 58 | loss: 0.0310377 | val_loss: 0.0312574 | Time: 15956.3 ms [2021-05-01 03:27:35 main:581] : INFO : Epoch 59 | loss: 0.0310377 | val_loss: 0.0312447 | Time: 17550.7 ms [2021-05-01 03:27:50 main:581] : INFO : Epoch 60 | loss: 0.0310365 | val_loss: 0.0312575 | Time: 14996.5 ms [2021-05-01 03:28:06 main:581] : INFO : Epoch 61 | loss: 0.0310398 | val_loss: 0.0312446 | Time: 15785.1 ms [2021-05-01 03:28:21 main:581] : INFO : Epoch 62 | loss: 0.0310437 | val_loss: 0.0312445 | Time: 15009.4 ms [2021-05-01 03:28:38 main:581] : INFO : Epoch 63 | loss: 0.0310401 | val_loss: 0.0312481 | Time: 17635.5 ms [2021-05-01 03:28:54 main:581] : INFO : Epoch 64 | loss: 0.0310443 | val_loss: 0.0312456 | Time: 15586.1 ms [2021-05-01 03:29:09 main:581] : INFO : Epoch 65 | loss: 0.0310458 | val_loss: 0.0312431 | Time: 15241.4 ms [2021-05-01 03:29:24 main:581] : INFO : Epoch 66 | loss: 0.031098 | val_loss: 0.0312011 | Time: 15276 ms [2021-05-01 03:29:40 main:581] : INFO : Epoch 67 | loss: 0.0311518 | val_loss: 0.0311945 | Time: 16142.9 ms [2021-05-01 03:29:55 main:581] : INFO : Epoch 68 | loss: 0.0311457 | val_loss: 0.0311904 | Time: 14794.8 ms [2021-05-01 03:30:12 main:581] : INFO : Epoch 69 | loss: 0.0311367 | val_loss: 0.0311865 | Time: 16341.1 ms [2021-05-01 03:30:27 main:581] : INFO : Epoch 70 | loss: 0.0311265 | val_loss: 0.0311955 | Time: 15179.6 ms [2021-05-01 03:30:42 main:581] : INFO : Epoch 71 | loss: 0.0311206 | val_loss: 0.0311965 | Time: 15093.4 ms [2021-05-01 03:30:58 main:581] : INFO : Epoch 72 | loss: 0.0311134 | val_loss: 0.0311988 | Time: 15731 ms [2021-05-01 03:31:13 main:581] : INFO : Epoch 73 | loss: 0.0311127 | val_loss: 0.0311952 | Time: 15288.8 ms [2021-05-01 03:31:29 main:581] : INFO : Epoch 74 | loss: 0.0311073 | val_loss: 0.0312109 | Time: 15584 ms [2021-05-01 03:31:44 main:581] : INFO : Epoch 75 | loss: 0.0310987 | val_loss: 0.0312065 | Time: 15924.5 ms [2021-05-01 03:32:00 main:581] : INFO : Epoch 76 | loss: 0.0310914 | val_loss: 0.0312088 | Time: 15902.4 ms [2021-05-01 03:32:17 main:581] : INFO : Epoch 77 | loss: 0.0310861 | val_loss: 0.031217 | Time: 16529.1 ms [2021-05-01 03:32:34 main:581] : INFO : Epoch 78 | loss: 0.0310774 | val_loss: 0.0312303 | Time: 16898.6 ms [2021-05-01 03:32:50 main:581] : INFO : Epoch 79 | loss: 0.0310715 | val_loss: 0.0312275 | Time: 15853.5 ms [2021-05-01 03:33:05 main:581] : INFO : Epoch 80 | loss: 0.0310678 | val_loss: 0.0312398 | Time: 15157.5 ms [2021-05-01 03:33:20 main:581] : INFO : Epoch 81 | loss: 0.0310568 | val_loss: 0.03125 | Time: 15140.2 ms [2021-05-01 03:33:36 main:581] : INFO : Epoch 82 | loss: 0.0310535 | val_loss: 0.0312319 | Time: 15781 ms [2021-05-01 03:33:52 main:581] : INFO : Epoch 83 | loss: 0.0310496 | val_loss: 0.0312519 | Time: 16256.9 ms [2021-05-01 03:34:08 main:581] : INFO : Epoch 84 | loss: 0.031047 | val_loss: 0.0312483 | Time: 15866.6 ms [2021-05-01 03:34:23 main:581] : INFO : Epoch 85 | loss: 0.0310491 | val_loss: 0.0312425 | Time: 14898.9 ms [2021-05-01 03:34:38 main:581] : INFO : Epoch 86 | loss: 0.0310485 | val_loss: 0.0312473 | Time: 15139.3 ms [2021-05-01 03:34:54 main:581] : INFO : Epoch 87 | loss: 0.0310556 | val_loss: 0.0312458 | Time: 15736.3 ms [2021-05-01 03:35:09 main:581] : INFO : Epoch 88 | loss: 0.0310501 | val_loss: 0.0312377 | Time: 15409.4 ms [2021-05-01 03:35:25 main:581] : INFO : Epoch 89 | loss: 0.0310396 | val_loss: 0.0312671 | Time: 15559.1 ms [2021-05-01 03:35:40 main:581] : INFO : Epoch 90 | loss: 0.0310366 | val_loss: 0.0312516 | Time: 15009 ms [2021-05-01 03:35:54 main:581] : INFO : Epoch 91 | loss: 0.0310404 | val_loss: 0.0312491 | Time: 14764 ms [2021-05-01 03:36:10 main:581] : INFO : Epoch 92 | loss: 0.0310396 | val_loss: 0.0312509 | Time: 15263.6 ms [2021-05-01 03:36:25 main:581] : INFO : Epoch 93 | loss: 0.031039 | val_loss: 0.0312464 | Time: 15386 ms [2021-05-01 03:36:42 main:581] : INFO : Epoch 94 | loss: 0.0310354 | val_loss: 0.0312485 | Time: 16746.2 ms [2021-05-01 03:36:57 main:581] : INFO : Epoch 95 | loss: 0.0310432 | val_loss: 0.0312459 | Time: 15343.9 ms [2021-05-01 03:37:14 main:581] : INFO : Epoch 96 | loss: 0.0310523 | val_loss: 0.0312546 | Time: 16612.3 ms [2021-05-01 03:37:29 main:581] : INFO : Epoch 97 | loss: 0.0310421 | val_loss: 0.0312619 | Time: 15138.8 ms [2021-05-01 03:37:46 main:581] : INFO : Epoch 98 | loss: 0.031044 | val_loss: 0.031257 | Time: 16774.4 ms [2021-05-01 03:38:02 main:581] : INFO : Epoch 99 | loss: 0.0310634 | val_loss: 0.0312297 | Time: 16498.3 ms [2021-05-01 03:38:18 main:581] : INFO : Epoch 100 | loss: 0.0310594 | val_loss: 0.0312406 | Time: 15731.5 ms [2021-05-01 03:38:34 main:581] : INFO : Epoch 101 | loss: 0.0310495 | val_loss: 0.0312532 | Time: 15845.3 ms [2021-05-01 03:38:52 main:581] : INFO : Epoch 102 | loss: 0.0310697 | val_loss: 0.0312221 | Time: 17985.6 ms [2021-05-01 03:39:10 main:581] : INFO : Epoch 103 | loss: 0.031144 | val_loss: 0.0312061 | Time: 17934.2 ms [2021-05-01 03:39:27 main:581] : INFO : Epoch 104 | loss: 0.0311313 | val_loss: 0.0312022 | Time: 16911.5 ms [2021-05-01 03:39:42 main:581] : INFO : Epoch 105 | loss: 0.0311098 | val_loss: 0.0312104 | Time: 15332.3 ms [2021-05-01 03:39:57 main:581] : INFO : Epoch 106 | loss: 0.031094 | val_loss: 0.0312367 | Time: 15621.2 ms [2021-05-01 03:40:12 main:581] : INFO : Epoch 107 | loss: 0.0310749 | val_loss: 0.0312313 | Time: 14889.1 ms [2021-05-01 03:40:27 main:581] : INFO : Epoch 108 | loss: 0.0310583 | val_loss: 0.0312468 | Time: 14781.6 ms [2021-05-01 03:40:42 main:581] : INFO : Epoch 109 | loss: 0.0310666 | val_loss: 0.0312398 | Time: 15300.8 ms [2021-05-01 03:40:58 main:581] : INFO : Epoch 110 | loss: 0.0310726 | val_loss: 0.0312382 | Time: 15373.9 ms [2021-05-01 03:41:13 main:581] : INFO : Epoch 111 | loss: 0.0310636 | val_loss: 0.0312331 | Time: 14966.6 ms [2021-05-01 03:41:28 main:581] : INFO : Epoch 112 | loss: 0.0310581 | val_loss: 0.0312353 | Time: 15197.2 ms [2021-05-01 03:41:43 main:581] : INFO : Epoch 113 | loss: 0.0310534 | val_loss: 0.0312296 | Time: 15159.2 ms [2021-05-01 03:41:58 main:581] : INFO : Epoch 114 | loss: 0.0310482 | val_loss: 0.0312623 | Time: 15313 ms [2021-05-01 03:42:17 main:581] : INFO : Epoch 115 | loss: 0.0310429 | val_loss: 0.0312397 | Time: 18451.6 ms [2021-05-01 03:42:33 main:581] : INFO : Epoch 116 | loss: 0.0310435 | val_loss: 0.0312612 | Time: 16125 ms [2021-05-01 03:42:49 main:581] : INFO : Epoch 117 | loss: 0.0310439 | val_loss: 0.0312525 | Time: 15632.7 ms [2021-05-01 03:43:04 main:581] : INFO : Epoch 118 | loss: 0.0310412 | val_loss: 0.0312482 | Time: 15304.9 ms [2021-05-01 03:43:20 main:581] : INFO : Epoch 119 | loss: 0.0310401 | val_loss: 0.0312613 | Time: 15819.6 ms [2021-05-01 03:43:35 main:581] : INFO : Epoch 120 | loss: 0.0310383 | val_loss: 0.0312716 | Time: 15178.5 ms [2021-05-01 03:43:51 main:581] : INFO : Epoch 121 | loss: 0.0310384 | val_loss: 0.0312465 | Time: 15872.9 ms [2021-05-01 03:44:06 main:581] : INFO : Epoch 122 | loss: 0.0310455 | val_loss: 0.0312442 | Time: 15157.1 ms [2021-05-01 03:44:21 main:581] : INFO : Epoch 123 | loss: 0.0310384 | val_loss: 0.031261 | Time: 15404.2 ms [2021-05-01 03:44:39 main:581] : INFO : Epoch 124 | loss: 0.0310368 | val_loss: 0.031241 | Time: 17465.1 ms [2021-05-01 03:44:54 main:581] : INFO : Epoch 125 | loss: 0.0310385 | val_loss: 0.0312727 | Time: 15247.1 ms [2021-05-01 03:45:09 main:581] : INFO : Epoch 126 | loss: 0.0311357 | val_loss: 0.0311991 | Time: 15091.4 ms [2021-05-01 03:45:24 main:581] : INFO : Epoch 127 | loss: 0.0311486 | val_loss: 0.0312063 | Time: 15139 ms [2021-05-01 03:45:41 main:581] : INFO : Epoch 128 | loss: 0.0313689 | val_loss: 0.0315094 | Time: 16671.7 ms [2021-05-01 03:45:41 main:604] : INFO : Saving trained model to model-final.pt, val_loss 0.0315094 [2021-05-01 03:45:41 main:610] : INFO : Saving end state to config to file [2021-05-01 03:45:41 main:615] : INFO : Success, exiting.. 03:45:41 (12166): 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)