Task 5210978
| Name | ParityModified-1621222087-9198-0_5 |
| Workunit | 3125814 |
| Created | 20 May 2021, 11:13:32 UTC |
| Sent | 20 May 2021, 11:13:59 UTC |
| Report deadline | 24 May 2021, 11:13:59 UTC |
| Received | 21 May 2021, 10:13:11 UTC |
| Server state | Over |
| Outcome | Validate error |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 11140 |
| Run time | 40 min 17 sec |
| CPU time | |
| Validate state | Invalid |
| Credit | 0.00 |
| Device peak FLOPS | 13,358.80 GFLOPS |
| Application version | Machine Learning Dataset Generator (test) v9.80 (amdrocm) x86_64-pc-linux-gnu |
| Peak working set size | 1.43 GB |
| Peak swap size | 8.06 GB |
| Peak disk usage | 2.25 GB |
Stderr output
<core_client_version>7.16.16</core_client_version> <![CDATA[ <stderr_txt> DEBUG: Args: ../../projects/www.mlcathome.org_mlcathome/mlds-gpu_9.80_x86_64-pc-linux-gnu__rocm --maxepoch 128 nthreads: 1 gpudev: 0 Re-exec()-ing to set environment correctly 05:26:41 (2111044): start_timer_thread(): pthread_create(): 22Machine Learning Dataset Generator v9.80 (Linux/x86_64) (libTorch: release/1.7 GPU: Vega 10 XL/XT [Radeon RX Vega 56/64]) [2021-05-21 05:26:41 main:442] : INFO : Set logging level to 1 [2021-05-21 05:26:41 main:448] : INFO : Running in BOINC Client mode [2021-05-21 05:26:41 main:451] : INFO : Resolving all filenames [2021-05-21 05:26:41 main:459] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 (exists = 1) [2021-05-21 05:26:41 main:459] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1621222087-9198-0_5_r1781772298_1 (exists = 0) [2021-05-21 05:26:41 main:459] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1621222087-9198-0_5_r1781772298_0 (exists = 0) [2021-05-21 05:26:41 main:459] : INFO : Resolved: model-input.pt => model-input.pt (exists = 0) [2021-05-21 05:26:41 main:459] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2021-05-21 05:26:41 main:479] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 [2021-05-21 05:26:41 main:481] : INFO : Configuration: [2021-05-21 05:26:41 main:482] : INFO : Model type: GRU [2021-05-21 05:26:41 main:483] : INFO : Validation Loss Threshold: 0.0001 [2021-05-21 05:26:41 main:484] : INFO : Max Epochs: 128 [2021-05-21 05:26:41 main:485] : INFO : Batch Size: 128 [2021-05-21 05:26:41 main:486] : INFO : Learning Rate: 0.01 [2021-05-21 05:26:41 main:487] : INFO : Patience: 10 [2021-05-21 05:26:41 main:488] : INFO : Hidden Width: 12 [2021-05-21 05:26:41 main:489] : INFO : # Recurrent Layers: 4 [2021-05-21 05:26:41 main:490] : INFO : # Backend Layers: 4 [2021-05-21 05:26:41 main:491] : INFO : # Threads: 1 [2021-05-21 05:26:41 main:493] : INFO : Preparing Dataset [2021-05-21 05:26:41 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-05-21 05:26:41 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-05-21 05:26:42 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2021-05-21 05:26:42 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-05-21 05:26:42 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-05-21 05:26:42 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2021-05-21 05:26:42 main:501] : INFO : Creating Model [2021-05-21 05:26:42 main:514] : INFO : Preparing config file [2021-05-21 05:26:42 main:526] : INFO : Creating new config file [2021-05-21 05:26:42 main:566] : INFO : Loading DataLoader into Memory [2021-05-21 05:26:42 main:569] : INFO : Starting Training [2021-05-21 05:27:06 main:581] : INFO : Epoch 1 | loss: 0.0473747 | val_loss: 0.0321917 | Time: 24099.5 ms [2021-05-21 05:27:25 main:581] : INFO : Epoch 2 | loss: 0.0317426 | val_loss: 0.0312925 | Time: 18931.5 ms [2021-05-21 05:27:44 main:581] : INFO : Epoch 3 | loss: 0.0313426 | val_loss: 0.0312908 | Time: 18733.2 ms [2021-05-21 05:28:03 main:581] : INFO : Epoch 4 | loss: 0.0312721 | val_loss: 0.0312603 | Time: 18945 ms [2021-05-21 05:28:22 main:581] : INFO : Epoch 5 | loss: 0.0312551 | val_loss: 0.0312521 | Time: 18899.7 ms [2021-05-21 05:28:41 main:581] : INFO : Epoch 6 | loss: 0.0312513 | val_loss: 0.031251 | Time: 18733.6 ms [2021-05-21 05:28:59 main:581] : INFO : Epoch 7 | loss: 0.0312507 | val_loss: 0.0312507 | Time: 18868.5 ms [2021-05-21 05:29:18 main:581] : INFO : Epoch 8 | loss: 0.0312507 | val_loss: 0.0312508 | Time: 18775.3 ms [2021-05-21 05:29:37 main:581] : INFO : Epoch 9 | loss: 0.0312505 | val_loss: 0.0312509 | Time: 19042.5 ms [2021-05-21 05:29:56 main:581] : INFO : Epoch 10 | loss: 0.0312506 | val_loss: 0.0312504 | Time: 18781 ms [2021-05-21 05:30:15 main:581] : INFO : Epoch 11 | loss: 0.0312508 | val_loss: 0.0312504 | Time: 18800.9 ms [2021-05-21 05:30:33 main:581] : INFO : Epoch 12 | loss: 0.0312504 | val_loss: 0.0312503 | Time: 18685.1 ms [2021-05-21 05:30:52 main:581] : INFO : Epoch 13 | loss: 0.0312503 | val_loss: 0.0312504 | Time: 18836.3 ms [2021-05-21 05:31:11 main:581] : INFO : Epoch 14 | loss: 0.0312505 | val_loss: 0.0312515 | Time: 18824.8 ms [2021-05-21 05:31:30 main:581] : INFO : Epoch 15 | loss: 0.0312511 | val_loss: 0.0312511 | Time: 18810.9 ms [2021-05-21 05:31:49 main:581] : INFO : Epoch 16 | loss: 0.0312508 | val_loss: 0.0312512 | Time: 18770.2 ms [2021-05-21 05:32:08 main:581] : INFO : Epoch 17 | loss: 0.0312506 | val_loss: 0.0312506 | Time: 18959.1 ms [2021-05-21 05:32:26 main:581] : INFO : Epoch 18 | loss: 0.0312503 | val_loss: 0.0312505 | Time: 18721.1 ms [2021-05-21 05:32:45 main:581] : INFO : Epoch 19 | loss: 0.0312506 | val_loss: 0.0312504 | Time: 18854.5 ms [2021-05-21 05:33:04 main:581] : INFO : Epoch 20 | loss: 0.0312506 | val_loss: 0.0312508 | Time: 18757.3 ms [2021-05-21 05:33:23 main:581] : INFO : Epoch 21 | loss: 0.0312506 | val_loss: 0.0312505 | Time: 18978.8 ms [2021-05-21 05:33:42 main:581] : INFO : Epoch 22 | loss: 0.0312504 | val_loss: 0.0312504 | Time: 18843.7 ms [2021-05-21 05:34:01 main:581] : INFO : Epoch 23 | loss: 0.0312506 | val_loss: 0.0312505 | Time: 18888.6 ms [2021-05-21 05:34:19 main:581] : INFO : Epoch 24 | loss: 0.0312504 | val_loss: 0.0312505 | Time: 18763.9 ms [2021-05-21 05:34:38 main:581] : INFO : Epoch 25 | loss: 0.0312506 | val_loss: 0.0312511 | Time: 18808.8 ms [2021-05-21 05:34:57 main:581] : INFO : Epoch 26 | loss: 0.0312514 | val_loss: 0.0312506 | Time: 18808.1 ms [2021-05-21 05:35:16 main:581] : INFO : Epoch 27 | loss: 0.0312507 | val_loss: 0.0312524 | Time: 18855 ms [2021-05-21 05:35:35 main:581] : INFO : Epoch 28 | loss: 0.0312516 | val_loss: 0.0312516 | Time: 18884.7 ms [2021-05-21 05:35:54 main:581] : INFO : Epoch 29 | loss: 0.031251 | val_loss: 0.0312513 | Time: 18934.8 ms [2021-05-21 05:36:13 main:581] : INFO : Epoch 30 | loss: 0.0312507 | val_loss: 0.0312506 | Time: 19053.1 ms [2021-05-21 05:36:32 main:581] : INFO : Epoch 31 | loss: 0.0312505 | val_loss: 0.0312508 | Time: 18778.6 ms [2021-05-21 05:36:50 main:581] : INFO : Epoch 32 | loss: 0.0312506 | val_loss: 0.0312502 | Time: 18801.4 ms [2021-05-21 05:37:09 main:581] : INFO : Epoch 33 | loss: 0.0312504 | val_loss: 0.0312503 | Time: 18808.6 ms [2021-05-21 05:37:28 main:581] : INFO : Epoch 34 | loss: 0.0312507 | val_loss: 0.031251 | Time: 18949.7 ms [2021-05-21 05:37:47 main:581] : INFO : Epoch 35 | loss: 0.0312512 | val_loss: 0.0312519 | Time: 18780.7 ms [2021-05-21 05:38:06 main:581] : INFO : Epoch 36 | loss: 0.0312514 | val_loss: 0.0312512 | Time: 18762.9 ms [2021-05-21 05:38:24 main:581] : INFO : Epoch 37 | loss: 0.0312508 | val_loss: 0.0312501 | Time: 18759.1 ms [2021-05-21 05:38:43 main:581] : INFO : Epoch 38 | loss: 0.0312507 | val_loss: 0.0312505 | Time: 18857.1 ms [2021-05-21 05:39:02 main:581] : INFO : Epoch 39 | loss: 0.0312506 | val_loss: 0.0312504 | Time: 18920.3 ms [2021-05-21 05:39:21 main:581] : INFO : Epoch 40 | loss: 0.0312506 | val_loss: 0.0312515 | Time: 18733 ms [2021-05-21 05:39:40 main:581] : INFO : Epoch 41 | loss: 0.031251 | val_loss: 0.0312515 | Time: 18755.5 ms [2021-05-21 05:39:59 main:581] : INFO : Epoch 42 | loss: 0.0312508 | val_loss: 0.031251 | Time: 19032.7 ms [2021-05-21 05:40:18 main:581] : INFO : Epoch 43 | loss: 0.0312511 | val_loss: 0.0312509 | Time: 18905.2 ms [2021-05-21 05:40:36 main:581] : INFO : Epoch 44 | loss: 0.0312509 | val_loss: 0.0312511 | Time: 18780.9 ms [2021-05-21 05:40:55 main:581] : INFO : Epoch 45 | loss: 0.0312505 | val_loss: 0.0312505 | Time: 18860.6 ms [2021-05-21 05:41:14 main:581] : INFO : Epoch 46 | loss: 0.0312503 | val_loss: 0.0312505 | Time: 18833.4 ms [2021-05-21 05:41:33 main:581] : INFO : Epoch 47 | loss: 0.0312503 | val_loss: 0.0312508 | Time: 18850 ms [2021-05-21 05:41:52 main:581] : INFO : Epoch 48 | loss: 0.0312507 | val_loss: 0.0312504 | Time: 18827.2 ms [2021-05-21 05:42:11 main:581] : INFO : Epoch 49 | loss: 0.0312502 | val_loss: 0.0312514 | Time: 18816.7 ms [2021-05-21 05:42:29 main:581] : INFO : Epoch 50 | loss: 0.0312518 | val_loss: 0.0312522 | Time: 18793 ms [2021-05-21 05:42:48 main:581] : INFO : Epoch 51 | loss: 0.0312508 | val_loss: 0.0312511 | Time: 18954.2 ms [2021-05-21 05:43:07 main:581] : INFO : Epoch 52 | loss: 0.0312508 | val_loss: 0.0312508 | Time: 18698.5 ms [2021-05-21 05:43:26 main:581] : INFO : Epoch 53 | loss: 0.0312507 | val_loss: 0.0312525 | Time: 18817.2 ms [2021-05-21 05:43:45 main:581] : INFO : Epoch 54 | loss: 0.0312506 | val_loss: 0.0312518 | Time: 18704.4 ms [2021-05-21 05:44:04 main:581] : INFO : Epoch 55 | loss: 0.0312512 | val_loss: 0.0312509 | Time: 18924.2 ms [2021-05-21 05:44:22 main:581] : INFO : Epoch 56 | loss: 0.0312512 | val_loss: 0.0312503 | Time: 18783.4 ms [2021-05-21 05:44:41 main:581] : INFO : Epoch 57 | loss: 0.031251 | val_loss: 0.0312508 | Time: 18758.5 ms [2021-05-21 05:45:00 main:581] : INFO : Epoch 58 | loss: 0.0312518 | val_loss: 0.0312507 | Time: 18847.3 ms [2021-05-21 05:45:19 main:581] : INFO : Epoch 59 | loss: 0.031251 | val_loss: 0.0312507 | Time: 18706.5 ms [2021-05-21 05:45:37 main:581] : INFO : Epoch 60 | loss: 0.0312508 | val_loss: 0.0312519 | Time: 18810.1 ms [2021-05-21 05:45:56 main:581] : INFO : Epoch 61 | loss: 0.0312507 | val_loss: 0.0312505 | Time: 18817.3 ms [2021-05-21 05:46:15 main:581] : INFO : Epoch 62 | loss: 0.0312505 | val_loss: 0.031252 | Time: 18703.8 ms [2021-05-21 05:46:34 main:581] : INFO : Epoch 63 | loss: 0.0312515 | val_loss: 0.0312524 | Time: 18773.6 ms [2021-05-21 05:46:53 main:581] : INFO : Epoch 64 | loss: 0.031251 | val_loss: 0.0312506 | Time: 18789.5 ms [2021-05-21 05:47:11 main:581] : INFO : Epoch 65 | loss: 0.0312521 | val_loss: 0.0312516 | Time: 18865.8 ms [2021-05-21 05:47:30 main:581] : INFO : Epoch 66 | loss: 0.0312515 | val_loss: 0.0312519 | Time: 18808 ms [2021-05-21 05:47:49 main:581] : INFO : Epoch 67 | loss: 0.0312519 | val_loss: 0.0312537 | Time: 18781.1 ms [2021-05-21 05:48:08 main:581] : INFO : Epoch 68 | loss: 0.0312524 | val_loss: 0.0312514 | Time: 18874 ms [2021-05-21 05:48:27 main:581] : INFO : Epoch 69 | loss: 0.0312511 | val_loss: 0.0312508 | Time: 18700.3 ms [2021-05-21 05:48:45 main:581] : INFO : Epoch 70 | loss: 0.0312511 | val_loss: 0.0312506 | Time: 18863.2 ms [2021-05-21 05:49:04 main:581] : INFO : Epoch 71 | loss: 0.0312504 | val_loss: 0.0312508 | Time: 18934.5 ms [2021-05-21 05:49:23 main:581] : INFO : Epoch 72 | loss: 0.0312514 | val_loss: 0.0312531 | Time: 18873.4 ms [2021-05-21 05:49:42 main:581] : INFO : Epoch 73 | loss: 0.0312517 | val_loss: 0.0312519 | Time: 18786.6 ms [2021-05-21 05:50:01 main:581] : INFO : Epoch 74 | loss: 0.0312512 | val_loss: 0.0312524 | Time: 18825.3 ms [2021-05-21 05:50:20 main:581] : INFO : Epoch 75 | loss: 0.0312531 | val_loss: 0.0312509 | Time: 18810 ms [2021-05-21 05:50:38 main:581] : INFO : Epoch 76 | loss: 0.0312525 | val_loss: 0.0312512 | Time: 18835.3 ms [2021-05-21 05:50:57 main:581] : INFO : Epoch 77 | loss: 0.0312513 | val_loss: 0.031251 | Time: 18801.2 ms [2021-05-21 05:51:16 main:581] : INFO : Epoch 78 | loss: 0.0312508 | val_loss: 0.0312533 | Time: 18738.5 ms [2021-05-21 05:51:35 main:581] : INFO : Epoch 79 | loss: 0.0312513 | val_loss: 0.0312507 | Time: 18758 ms [2021-05-21 05:51:54 main:581] : INFO : Epoch 80 | loss: 0.031252 | val_loss: 0.031255 | Time: 18778.8 ms [2021-05-21 05:52:13 main:581] : INFO : Epoch 81 | loss: 0.0312527 | val_loss: 0.0312519 | Time: 18977.1 ms [2021-05-21 05:52:31 main:581] : INFO : Epoch 82 | loss: 0.0312524 | val_loss: 0.0312547 | Time: 18756.6 ms [2021-05-21 05:52:50 main:581] : INFO : Epoch 83 | loss: 0.0312523 | val_loss: 0.0312541 | Time: 18710.2 ms [2021-05-21 05:53:09 main:581] : INFO : Epoch 84 | loss: 0.0312531 | val_loss: 0.0312521 | Time: 18929.7 ms [2021-05-21 05:53:28 main:581] : INFO : Epoch 85 | loss: 0.0312522 | val_loss: 0.0312514 | Time: 18748.3 ms [2021-05-21 05:53:47 main:581] : INFO : Epoch 86 | loss: 0.0312503 | val_loss: 0.0312503 | Time: 18856.9 ms [2021-05-21 05:54:05 main:581] : INFO : Epoch 87 | loss: 0.0312502 | val_loss: 0.0312514 | Time: 18794.2 ms [2021-05-21 05:54:24 main:581] : INFO : Epoch 88 | loss: 0.031251 | val_loss: 0.0312516 | Time: 18878.5 ms [2021-05-21 05:54:43 main:581] : INFO : Epoch 89 | loss: 0.0312506 | val_loss: 0.0312522 | Time: 18675.6 ms [2021-05-21 05:55:02 main:581] : INFO : Epoch 90 | loss: 0.0312518 | val_loss: 0.0312544 | Time: 18708.1 ms [2021-05-21 05:55:20 main:581] : INFO : Epoch 91 | loss: 0.0312517 | val_loss: 0.031252 | Time: 18707.4 ms [2021-05-21 05:55:39 main:581] : INFO : Epoch 92 | loss: 0.031251 | val_loss: 0.0312512 | Time: 18921 ms [2021-05-21 05:55:58 main:581] : INFO : Epoch 93 | loss: 0.0312526 | val_loss: 0.0312556 | Time: 18916.8 ms [2021-05-21 05:56:17 main:581] : INFO : Epoch 94 | loss: 0.0312528 | val_loss: 0.0312525 | Time: 18786.3 ms [2021-05-21 05:56:36 main:581] : INFO : Epoch 95 | loss: 0.0312509 | val_loss: 0.0312509 | Time: 18856.8 ms [2021-05-21 05:56:55 main:581] : INFO : Epoch 96 | loss: 0.0312505 | val_loss: 0.0312523 | Time: 18885.9 ms [2021-05-21 05:57:13 main:581] : INFO : Epoch 97 | loss: 0.0312519 | val_loss: 0.0312529 | Time: 18801.5 ms [2021-05-21 05:57:32 main:581] : INFO : Epoch 98 | loss: 0.031252 | val_loss: 0.031252 | Time: 18767.3 ms [2021-05-21 05:57:51 main:581] : INFO : Epoch 99 | loss: 0.0312516 | val_loss: 0.031252 | Time: 18950.4 ms [2021-05-21 05:58:10 main:581] : INFO : Epoch 100 | loss: 0.0312504 | val_loss: 0.0312514 | Time: 18717.4 ms [2021-05-21 05:58:28 main:581] : INFO : Epoch 101 | loss: 0.0312506 | val_loss: 0.0312514 | Time: 18451.7 ms [2021-05-21 05:58:47 main:581] : INFO : Epoch 102 | loss: 0.0312508 | val_loss: 0.0312526 | Time: 18646.4 ms [2021-05-21 05:59:06 main:581] : INFO : Epoch 103 | loss: 0.0312502 | val_loss: 0.0312535 | Time: 18648.2 ms [2021-05-21 05:59:24 main:581] : INFO : Epoch 104 | loss: 0.0312497 | val_loss: 0.0312509 | Time: 18780.6 ms [2021-05-21 05:59:43 main:581] : INFO : Epoch 105 | loss: 0.0312497 | val_loss: 0.0312521 | Time: 18800.7 ms [2021-05-21 06:00:02 main:581] : INFO : Epoch 106 | loss: 0.0312499 | val_loss: 0.0312516 | Time: 18773.6 ms [2021-05-21 06:00:21 main:581] : INFO : Epoch 107 | loss: 0.0312496 | val_loss: 0.0312531 | Time: 18731.4 ms [2021-05-21 06:00:40 main:581] : INFO : Epoch 108 | loss: 0.0312503 | val_loss: 0.0312514 | Time: 18770.5 ms [2021-05-21 06:00:58 main:581] : INFO : Epoch 109 | loss: 0.0312492 | val_loss: 0.0312537 | Time: 18760.4 ms [2021-05-21 06:01:17 main:581] : INFO : Epoch 110 | loss: 0.0312517 | val_loss: 0.0312531 | Time: 18808.3 ms [2021-05-21 06:01:36 main:581] : INFO : Epoch 111 | loss: 0.031251 | val_loss: 0.0312538 | Time: 18792 ms [2021-05-21 06:01:55 main:581] : INFO : Epoch 112 | loss: 0.0312499 | val_loss: 0.031252 | Time: 18770.7 ms [2021-05-21 06:02:13 main:581] : INFO : Epoch 113 | loss: 0.0312509 | val_loss: 0.0312533 | Time: 18644.7 ms [2021-05-21 06:02:32 main:581] : INFO : Epoch 114 | loss: 0.03125 | val_loss: 0.0312577 | Time: 18801 ms [2021-05-21 06:02:51 main:581] : INFO : Epoch 115 | loss: 0.031253 | val_loss: 0.031253 | Time: 18759.8 ms [2021-05-21 06:03:10 main:581] : INFO : Epoch 116 | loss: 0.031256 | val_loss: 0.0312643 | Time: 18795.1 ms [2021-05-21 06:03:28 main:581] : INFO : Epoch 117 | loss: 0.0312519 | val_loss: 0.0312528 | Time: 18802.7 ms [2021-05-21 06:03:47 main:581] : INFO : Epoch 118 | loss: 0.0312484 | val_loss: 0.0312526 | Time: 18789.9 ms [2021-05-21 06:04:06 main:581] : INFO : Epoch 119 | loss: 0.0312497 | val_loss: 0.031259 | Time: 18794.3 ms [2021-05-21 06:04:25 main:581] : INFO : Epoch 120 | loss: 0.0312528 | val_loss: 0.031253 | Time: 18856.1 ms [2021-05-21 06:04:44 main:581] : INFO : Epoch 121 | loss: 0.0312481 | val_loss: 0.0312533 | Time: 18799 ms [2021-05-21 06:05:03 main:581] : INFO : Epoch 122 | loss: 0.0312505 | val_loss: 0.0312558 | Time: 18918.1 ms [2021-05-21 06:05:21 main:581] : INFO : Epoch 123 | loss: 0.031249 | val_loss: 0.0312535 | Time: 18726.5 ms [2021-05-21 06:05:40 main:581] : INFO : Epoch 124 | loss: 0.0312475 | val_loss: 0.0312533 | Time: 18693.1 ms [2021-05-21 06:05:59 main:581] : INFO : Epoch 125 | loss: 0.0312469 | val_loss: 0.0312573 | Time: 18721.7 ms [2021-05-21 06:06:18 main:581] : INFO : Epoch 126 | loss: 0.0312464 | val_loss: 0.0312539 | Time: 18779.2 ms [2021-05-21 06:06:36 main:581] : INFO : Epoch 127 | loss: 0.0312458 | val_loss: 0.0312559 | Time: 18698.1 ms [2021-05-21 06:06:55 main:581] : INFO : Epoch 128 | loss: 0.0312482 | val_loss: 0.0312606 | Time: 18954.8 ms [2021-05-21 06:06:55 main:604] : INFO : Saving trained model to model-final.pt, val_loss 0.0312606 [2021-05-21 06:06:55 main:610] : INFO : Saving end state to config to file [2021-05-21 06:06:55 main:615] : INFO : Success, exiting.. 06:06:55 (2111044): 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)