Task 5126407
| Name | ParityModified-1607233794-4305-89_0 |
| Workunit | 3079383 |
| Created | 1 May 2021, 5:36:55 UTC |
| Sent | 1 May 2021, 5:37:18 UTC |
| Report deadline | 8 May 2021, 5:37:18 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 34 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 01:23:31 (11945): 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 01:23:31 main:442] : INFO : Set logging level to 1 [2021-05-01 01:23:31 main:448] : INFO : Running in BOINC Client mode [2021-05-01 01:23:31 main:451] : INFO : Resolving all filenames [2021-05-01 01:23:31 main:459] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 (exists = 1) [2021-05-01 01:23:31 main:459] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1607233794-4305-89_0_r1991578237_1 (exists = 0) [2021-05-01 01:23:31 main:459] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1607233794-4305-89_0_r1991578237_0 (exists = 0) [2021-05-01 01:23:31 main:459] : INFO : Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1607233794-4305-89 (exists = 1) [2021-05-01 01:23:31 main:459] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2021-05-01 01:23:31 main:479] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 [2021-05-01 01:23:31 main:481] : INFO : Configuration: [2021-05-01 01:23:31 main:482] : INFO : Model type: GRU [2021-05-01 01:23:31 main:483] : INFO : Validation Loss Threshold: 0.0001 [2021-05-01 01:23:31 main:484] : INFO : Max Epochs: 128 [2021-05-01 01:23:31 main:485] : INFO : Batch Size: 128 [2021-05-01 01:23:31 main:486] : INFO : Learning Rate: 0.01 [2021-05-01 01:23:31 main:487] : INFO : Patience: 10 [2021-05-01 01:23:31 main:488] : INFO : Hidden Width: 12 [2021-05-01 01:23:31 main:489] : INFO : # Recurrent Layers: 4 [2021-05-01 01:23:31 main:490] : INFO : # Backend Layers: 4 [2021-05-01 01:23:31 main:491] : INFO : # Threads: 1 [2021-05-01 01:23:31 main:493] : INFO : Preparing Dataset [2021-05-01 01:23:31 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 01:23:32 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 01:23:33 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2021-05-01 01:23:33 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 01:23:33 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 01:23:33 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2021-05-01 01:23:33 main:501] : INFO : Creating Model [2021-05-01 01:23:33 main:514] : INFO : Preparing config file [2021-05-01 01:23:33 main:526] : INFO : Creating new config file [2021-05-01 01:23:33 main:545] : INFO : This is a continuation WU, loading previous network [2021-05-01 01:23:33 main:566] : INFO : Loading DataLoader into Memory [2021-05-01 01:23:33 main:569] : INFO : Starting Training [2021-05-01 01:24:10 main:581] : INFO : Epoch 1 | loss: 0.031181 | val_loss: 0.0311613 | Time: 36869.9 ms [2021-05-01 01:24:37 main:581] : INFO : Epoch 2 | loss: 0.0311588 | val_loss: 0.0311597 | Time: 27013.3 ms [2021-05-01 01:25:06 main:581] : INFO : Epoch 3 | loss: 0.0311558 | val_loss: 0.0311587 | Time: 28546.9 ms [2021-05-01 01:25:34 main:581] : INFO : Epoch 4 | loss: 0.0311544 | val_loss: 0.0311591 | Time: 28251.9 ms [2021-05-01 01:25:58 main:581] : INFO : Epoch 5 | loss: 0.0311552 | val_loss: 0.031163 | Time: 23503.7 ms [2021-05-01 01:26:23 main:581] : INFO : Epoch 6 | loss: 0.0311537 | val_loss: 0.031161 | Time: 25118.7 ms [2021-05-01 01:26:51 main:581] : INFO : Epoch 7 | loss: 0.031153 | val_loss: 0.0311589 | Time: 28609 ms [2021-05-01 01:27:16 main:581] : INFO : Epoch 8 | loss: 0.0311515 | val_loss: 0.0311616 | Time: 25147.8 ms [2021-05-01 01:27:44 main:581] : INFO : Epoch 9 | loss: 0.0311522 | val_loss: 0.0311589 | Time: 28015.8 ms [2021-05-01 01:28:12 main:581] : INFO : Epoch 10 | loss: 0.0311502 | val_loss: 0.0311573 | Time: 27636.8 ms [2021-05-01 01:28:35 main:581] : INFO : Epoch 11 | loss: 0.0311505 | val_loss: 0.0311584 | Time: 22416.7 ms [2021-05-01 01:29:01 main:581] : INFO : Epoch 12 | loss: 0.0311493 | val_loss: 0.0311586 | Time: 26789.9 ms [2021-05-01 01:29:24 main:581] : INFO : Epoch 13 | loss: 0.0311502 | val_loss: 0.0311588 | Time: 22479.3 ms [2021-05-01 01:29:49 main:581] : INFO : Epoch 14 | loss: 0.0311493 | val_loss: 0.0311634 | Time: 25280.5 ms [2021-05-01 01:30:15 main:581] : INFO : Epoch 15 | loss: 0.031149 | val_loss: 0.0311585 | Time: 26243.5 ms [2021-05-01 01:30:44 main:581] : INFO : Epoch 16 | loss: 0.0311493 | val_loss: 0.0311594 | Time: 29163.8 ms [2021-05-01 01:31:09 main:581] : INFO : Epoch 17 | loss: 0.0311497 | val_loss: 0.0311598 | Time: 24376.2 ms [2021-05-01 01:31:35 main:581] : INFO : Epoch 18 | loss: 0.0311491 | val_loss: 0.0311588 | Time: 26627.5 ms [2021-05-01 01:32:04 main:581] : INFO : Epoch 19 | loss: 0.0311492 | val_loss: 0.0311579 | Time: 28399.8 ms [2021-05-01 01:32:27 main:581] : INFO : Epoch 20 | loss: 0.0311486 | val_loss: 0.0311607 | Time: 22792 ms [2021-05-01 01:32:53 main:581] : INFO : Epoch 21 | loss: 0.0311494 | val_loss: 0.0311592 | Time: 26616.4 ms [2021-05-01 01:33:21 main:581] : INFO : Epoch 22 | loss: 0.0311507 | val_loss: 0.0311598 | Time: 27637.9 ms [2021-05-01 01:33:49 main:581] : INFO : Epoch 23 | loss: 0.0311533 | val_loss: 0.0311581 | Time: 27912.1 ms [2021-05-01 01:34:15 main:581] : INFO : Epoch 24 | loss: 0.0311521 | val_loss: 0.0311588 | Time: 26448.7 ms [2021-05-01 01:34:41 main:581] : INFO : Epoch 25 | loss: 0.0311509 | val_loss: 0.0311579 | Time: 25582.6 ms [2021-05-01 01:35:06 main:581] : INFO : Epoch 26 | loss: 0.0311493 | val_loss: 0.0311571 | Time: 25275.1 ms [2021-05-01 01:35:32 main:581] : INFO : Epoch 27 | loss: 0.0311478 | val_loss: 0.0311582 | Time: 26227.6 ms [2021-05-01 01:35:58 main:581] : INFO : Epoch 28 | loss: 0.0311486 | val_loss: 0.0311583 | Time: 25761.9 ms [2021-05-01 01:36:26 main:581] : INFO : Epoch 29 | loss: 0.0311494 | val_loss: 0.0311571 | Time: 27739.8 ms [2021-05-01 01:36:53 main:581] : INFO : Epoch 30 | loss: 0.0311491 | val_loss: 0.0311572 | Time: 26675.1 ms [2021-05-01 01:37:21 main:581] : INFO : Epoch 31 | loss: 0.0311495 | val_loss: 0.0311565 | Time: 28568.5 ms [2021-05-01 01:37:48 main:581] : INFO : Epoch 32 | loss: 0.0311492 | val_loss: 0.0311565 | Time: 26562.9 ms [2021-05-01 01:38:10 main:581] : INFO : Epoch 33 | loss: 0.0311497 | val_loss: 0.0311571 | Time: 22606.5 ms [2021-05-01 01:38:34 main:581] : INFO : Epoch 34 | loss: 0.0311485 | val_loss: 0.0311572 | Time: 23626.1 ms [2021-05-01 01:38:57 main:581] : INFO : Epoch 35 | loss: 0.0311491 | val_loss: 0.0311569 | Time: 22912.2 ms [2021-05-01 01:39:24 main:581] : INFO : Epoch 36 | loss: 0.0311481 | val_loss: 0.031157 | Time: 27167.3 ms [2021-05-01 01:39:49 main:581] : INFO : Epoch 37 | loss: 0.0311487 | val_loss: 0.0311558 | Time: 24546.5 ms [2021-05-01 01:40:10 main:581] : INFO : Epoch 38 | loss: 0.0311489 | val_loss: 0.031158 | Time: 21969.2 ms [2021-05-01 01:40:36 main:581] : INFO : Epoch 39 | loss: 0.0311474 | val_loss: 0.0311572 | Time: 25210.9 ms [2021-05-01 01:41:00 main:581] : INFO : Epoch 40 | loss: 0.0311478 | val_loss: 0.0311561 | Time: 24702 ms [2021-05-01 01:41:25 main:581] : INFO : Epoch 41 | loss: 0.0311478 | val_loss: 0.0311558 | Time: 24754.6 ms [2021-05-01 01:41:53 main:581] : INFO : Epoch 42 | loss: 0.0311476 | val_loss: 0.0311566 | Time: 28123.8 ms [2021-05-01 01:42:19 main:581] : INFO : Epoch 43 | loss: 0.031148 | val_loss: 0.0311551 | Time: 25393.7 ms [2021-05-01 01:42:45 main:581] : INFO : Epoch 44 | loss: 0.0311497 | val_loss: 0.0311565 | Time: 26697.9 ms [2021-05-01 01:43:13 main:581] : INFO : Epoch 45 | loss: 0.0311584 | val_loss: 0.0311666 | Time: 27249.1 ms [2021-05-01 01:43:39 main:581] : INFO : Epoch 46 | loss: 0.0311591 | val_loss: 0.0311633 | Time: 26463.2 ms [2021-05-01 01:44:07 main:581] : INFO : Epoch 47 | loss: 0.0311571 | val_loss: 0.0311615 | Time: 28055.2 ms [2021-05-01 01:44:34 main:581] : INFO : Epoch 48 | loss: 0.0311582 | val_loss: 0.0311632 | Time: 26687.7 ms [2021-05-01 01:45:01 main:581] : INFO : Epoch 49 | loss: 0.0311581 | val_loss: 0.0311617 | Time: 27021.4 ms [2021-05-01 01:45:30 main:581] : INFO : Epoch 50 | loss: 0.031156 | val_loss: 0.0311593 | Time: 28658.2 ms [2021-05-01 01:45:55 main:581] : INFO : Epoch 51 | loss: 0.0311552 | val_loss: 0.0311591 | Time: 25615.8 ms [2021-05-01 01:46:23 main:581] : INFO : Epoch 52 | loss: 0.0311549 | val_loss: 0.0311596 | Time: 27507.8 ms [2021-05-01 01:46:49 main:581] : INFO : Epoch 53 | loss: 0.0311537 | val_loss: 0.031161 | Time: 26286.5 ms [2021-05-01 01:47:14 main:581] : INFO : Epoch 54 | loss: 0.0311544 | val_loss: 0.0311624 | Time: 24618.2 ms [2021-05-01 01:47:41 main:581] : INFO : Epoch 55 | loss: 0.0311542 | val_loss: 0.0311607 | Time: 27533 ms [2021-05-01 01:48:10 main:581] : INFO : Epoch 56 | loss: 0.0311537 | val_loss: 0.0311595 | Time: 28558.9 ms [2021-05-01 01:48:39 main:581] : INFO : Epoch 57 | loss: 0.0311532 | val_loss: 0.0311597 | Time: 29062.4 ms [2021-05-01 01:49:07 main:581] : INFO : Epoch 58 | loss: 0.0311522 | val_loss: 0.0311599 | Time: 28311.7 ms [2021-05-01 01:49:34 main:581] : INFO : Epoch 59 | loss: 0.031151 | val_loss: 0.03116 | Time: 27354.4 ms [2021-05-01 01:50:02 main:581] : INFO : Epoch 60 | loss: 0.0311505 | val_loss: 0.0311609 | Time: 27250.4 ms [2021-05-01 01:50:24 main:581] : INFO : Epoch 61 | loss: 0.0311516 | val_loss: 0.0311626 | Time: 22390.7 ms [2021-05-01 01:50:47 main:581] : INFO : Epoch 62 | loss: 0.031152 | val_loss: 0.0311603 | Time: 22787.8 ms [2021-05-01 01:51:12 main:581] : INFO : Epoch 63 | loss: 0.0311499 | val_loss: 0.0311615 | Time: 25151.8 ms [2021-05-01 01:51:39 main:581] : INFO : Epoch 64 | loss: 0.0311501 | val_loss: 0.0311609 | Time: 27286.5 ms [2021-05-01 01:52:05 main:581] : INFO : Epoch 65 | loss: 0.031149 | val_loss: 0.0311604 | Time: 26214.6 ms [2021-05-01 01:52:30 main:581] : INFO : Epoch 66 | loss: 0.0311495 | val_loss: 0.0311608 | Time: 24751.9 ms [2021-05-01 01:52:56 main:581] : INFO : Epoch 67 | loss: 0.0311502 | val_loss: 0.0311599 | Time: 26181.9 ms [2021-05-01 01:53:22 main:581] : INFO : Epoch 68 | loss: 0.0311493 | val_loss: 0.0311586 | Time: 25457.3 ms [2021-05-01 01:53:49 main:581] : INFO : Epoch 69 | loss: 0.0311498 | val_loss: 0.0311613 | Time: 27014.6 ms [2021-05-01 01:54:13 main:581] : INFO : Epoch 70 | loss: 0.0311509 | val_loss: 0.0311601 | Time: 24256.6 ms [2021-05-01 01:54:36 main:581] : INFO : Epoch 71 | loss: 0.0311501 | val_loss: 0.0311597 | Time: 22427.5 ms [2021-05-01 01:55:03 main:581] : INFO : Epoch 72 | loss: 0.0311507 | val_loss: 0.0311613 | Time: 27531.6 ms [2021-05-01 01:55:30 main:581] : INFO : Epoch 73 | loss: 0.0311497 | val_loss: 0.0311599 | Time: 26867.6 ms [2021-05-01 01:55:58 main:581] : INFO : Epoch 74 | loss: 0.0311507 | val_loss: 0.0311613 | Time: 27754.5 ms [2021-05-01 01:56:27 main:581] : INFO : Epoch 75 | loss: 0.0311512 | val_loss: 0.0311632 | Time: 29206.7 ms [2021-05-01 01:56:54 main:581] : INFO : Epoch 76 | loss: 0.0311529 | val_loss: 0.0311628 | Time: 27199.4 ms [2021-05-01 01:57:16 main:581] : INFO : Epoch 77 | loss: 0.0311576 | val_loss: 0.0311637 | Time: 22259.3 ms [2021-05-01 01:57:41 main:581] : INFO : Epoch 78 | loss: 0.0311573 | val_loss: 0.0311624 | Time: 24335 ms [2021-05-01 01:58:04 main:581] : INFO : Epoch 79 | loss: 0.0311547 | val_loss: 0.0311619 | Time: 23794.4 ms [2021-05-01 01:58:33 main:581] : INFO : Epoch 80 | loss: 0.031153 | val_loss: 0.0311601 | Time: 28205.6 ms [2021-05-01 01:59:01 main:581] : INFO : Epoch 81 | loss: 0.0311539 | val_loss: 0.0311604 | Time: 28259.2 ms [2021-05-01 01:59:26 main:581] : INFO : Epoch 82 | loss: 0.031155 | val_loss: 0.0311618 | Time: 25149.4 ms [2021-05-01 01:59:52 main:581] : INFO : Epoch 83 | loss: 0.031155 | val_loss: 0.0311602 | Time: 26309.6 ms [2021-05-01 02:00:19 main:581] : INFO : Epoch 84 | loss: 0.0311541 | val_loss: 0.0311608 | Time: 26098.1 ms [2021-05-01 02:00:42 main:581] : INFO : Epoch 85 | loss: 0.031154 | val_loss: 0.0311589 | Time: 23885.3 ms [2021-05-01 02:01:10 main:581] : INFO : Epoch 86 | loss: 0.0311527 | val_loss: 0.0311593 | Time: 27412.6 ms [2021-05-01 02:01:39 main:581] : INFO : Epoch 87 | loss: 0.0311535 | val_loss: 0.0311591 | Time: 28743.8 ms [2021-05-01 02:02:02 main:581] : INFO : Epoch 88 | loss: 0.0311526 | val_loss: 0.0311616 | Time: 23880 ms [2021-05-01 02:02:28 main:581] : INFO : Epoch 89 | loss: 0.0311518 | val_loss: 0.0311577 | Time: 25513.6 ms [2021-05-01 02:02:54 main:581] : INFO : Epoch 90 | loss: 0.031151 | val_loss: 0.0311587 | Time: 26397.8 ms [2021-05-01 02:03:23 main:581] : INFO : Epoch 91 | loss: 0.0311514 | val_loss: 0.0311592 | Time: 28571.9 ms [2021-05-01 02:03:49 main:581] : INFO : Epoch 92 | loss: 0.0311513 | val_loss: 0.0311599 | Time: 25644.6 ms [2021-05-01 02:04:14 main:581] : INFO : Epoch 93 | loss: 0.0311518 | val_loss: 0.0311583 | Time: 25855.5 ms [2021-05-01 02:04:40 main:581] : INFO : Epoch 94 | loss: 0.0311512 | val_loss: 0.0311599 | Time: 25483.2 ms [2021-05-01 02:05:08 main:581] : INFO : Epoch 95 | loss: 0.0311513 | val_loss: 0.0311557 | Time: 28488.5 ms [2021-05-01 02:05:30 main:581] : INFO : Epoch 96 | loss: 0.0311513 | val_loss: 0.0311563 | Time: 21722.6 ms [2021-05-01 02:05:54 main:581] : INFO : Epoch 97 | loss: 0.0311507 | val_loss: 0.0311571 | Time: 23716.2 ms [2021-05-01 02:06:16 main:581] : INFO : Epoch 98 | loss: 0.0311504 | val_loss: 0.0311554 | Time: 22543.8 ms [2021-05-01 02:06:41 main:581] : INFO : Epoch 99 | loss: 0.0311512 | val_loss: 0.0311578 | Time: 24719.6 ms [2021-05-01 02:07:05 main:581] : INFO : Epoch 100 | loss: 0.031151 | val_loss: 0.0311565 | Time: 23755.8 ms [2021-05-01 02:07:29 main:581] : INFO : Epoch 101 | loss: 0.0311524 | val_loss: 0.031158 | Time: 24247.8 ms [2021-05-01 02:07:52 main:581] : INFO : Epoch 102 | loss: 0.0311517 | val_loss: 0.0311577 | Time: 23001.7 ms [2021-05-01 02:08:19 main:581] : INFO : Epoch 103 | loss: 0.0311506 | val_loss: 0.0311586 | Time: 26918.1 ms [2021-05-01 02:08:47 main:581] : INFO : Epoch 104 | loss: 0.0311506 | val_loss: 0.0311604 | Time: 27674.4 ms [2021-05-01 02:09:12 main:581] : INFO : Epoch 105 | loss: 0.0311504 | val_loss: 0.0311584 | Time: 25388.8 ms [2021-05-01 02:09:34 main:581] : INFO : Epoch 106 | loss: 0.0311487 | val_loss: 0.0311579 | Time: 22376.6 ms [2021-05-01 02:09:57 main:581] : INFO : Epoch 107 | loss: 0.0311481 | val_loss: 0.031159 | Time: 22550.5 ms [2021-05-01 02:10:26 main:581] : INFO : Epoch 108 | loss: 0.0311483 | val_loss: 0.0311585 | Time: 28882.9 ms [2021-05-01 02:10:54 main:581] : INFO : Epoch 109 | loss: 0.0311496 | val_loss: 0.0311586 | Time: 27857.2 ms [2021-05-01 02:11:22 main:581] : INFO : Epoch 110 | loss: 0.0311517 | val_loss: 0.0311599 | Time: 28619.7 ms [2021-05-01 02:11:50 main:581] : INFO : Epoch 111 | loss: 0.0311538 | val_loss: 0.0311574 | Time: 27707.8 ms [2021-05-01 02:12:16 main:581] : INFO : Epoch 112 | loss: 0.0311528 | val_loss: 0.031158 | Time: 25843.2 ms [2021-05-01 02:12:42 main:581] : INFO : Epoch 113 | loss: 0.0311505 | val_loss: 0.0311574 | Time: 25608.1 ms [2021-05-01 02:13:05 main:581] : INFO : Epoch 114 | loss: 0.0311503 | val_loss: 0.0311581 | Time: 23478.5 ms [2021-05-01 02:13:31 main:581] : INFO : Epoch 115 | loss: 0.0311535 | val_loss: 0.0311586 | Time: 26439.4 ms [2021-05-01 02:13:56 main:581] : INFO : Epoch 116 | loss: 0.031155 | val_loss: 0.0311555 | Time: 24403.8 ms [2021-05-01 02:14:20 main:581] : INFO : Epoch 117 | loss: 0.0311538 | val_loss: 0.0311628 | Time: 24005.9 ms [2021-05-01 02:14:48 main:581] : INFO : Epoch 118 | loss: 0.0311532 | val_loss: 0.0311551 | Time: 28568.2 ms [2021-05-01 02:15:14 main:581] : INFO : Epoch 119 | loss: 0.0311505 | val_loss: 0.0311547 | Time: 25917.3 ms [2021-05-01 02:15:37 main:581] : INFO : Epoch 120 | loss: 0.0311507 | val_loss: 0.0311539 | Time: 22179.7 ms [2021-05-01 02:16:04 main:581] : INFO : Epoch 121 | loss: 0.0311508 | val_loss: 0.0311576 | Time: 27915.3 ms [2021-05-01 02:16:29 main:581] : INFO : Epoch 122 | loss: 0.0311508 | val_loss: 0.0311566 | Time: 24249.3 ms [2021-05-01 02:16:53 main:581] : INFO : Epoch 123 | loss: 0.0311486 | val_loss: 0.0311568 | Time: 24195.5 ms [2021-05-01 02:17:18 main:581] : INFO : Epoch 124 | loss: 0.031148 | val_loss: 0.0311562 | Time: 24855 ms [2021-05-01 02:17:44 main:581] : INFO : Epoch 125 | loss: 0.0311481 | val_loss: 0.0311557 | Time: 26023.7 ms [2021-05-01 02:18:05 main:581] : INFO : Epoch 126 | loss: 0.031149 | val_loss: 0.0311557 | Time: 21396.7 ms [2021-05-01 02:18:31 main:581] : INFO : Epoch 127 | loss: 0.0311499 | val_loss: 0.031157 | Time: 26318.9 ms [2021-05-01 02:18:59 main:581] : INFO : Epoch 128 | loss: 0.0311499 | val_loss: 0.0311588 | Time: 27253.3 ms [2021-05-01 02:18:59 main:604] : INFO : Saving trained model to model-final.pt, val_loss 0.0311588 [2021-05-01 02:18:59 main:610] : INFO : Saving end state to config to file [2021-05-01 02:18:59 main:615] : INFO : Success, exiting.. 02:18:59 (11945): 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)