Task 5201005
| Name | ParityModified-1621222197-10688-0_3 |
| Workunit | 3125817 |
| Created | 17 May 2021, 19:05:31 UTC |
| Sent | 17 May 2021, 19:13:06 UTC |
| Report deadline | 21 May 2021, 19:13:06 UTC |
| Received | 18 May 2021, 22:56:43 UTC |
| Server state | Over |
| Outcome | Validate error |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 11140 |
| Run time | 41 min 1 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 18:14:21 (735080): 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]) [2021-05-18 18:14:21 main:442] : INFO : Set logging level to 1 [2021-05-18 18:14:21 main:448] : INFO : Running in BOINC Client mode [2021-05-18 18:14:21 main:451] : INFO : Resolving all filenames [2021-05-18 18:14:21 main:459] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 (exists = 1) [2021-05-18 18:14:21 main:459] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1621222197-10688-0_3_r51101211_1 (exists = 0) [2021-05-18 18:14:21 main:459] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1621222197-10688-0_3_r51101211_0 (exists = 0) [2021-05-18 18:14:21 main:459] : INFO : Resolved: model-input.pt => model-input.pt (exists = 0) [2021-05-18 18:14:21 main:459] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2021-05-18 18:14:21 main:479] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 [2021-05-18 18:14:21 main:481] : INFO : Configuration: [2021-05-18 18:14:21 main:482] : INFO : Model type: GRU [2021-05-18 18:14:21 main:483] : INFO : Validation Loss Threshold: 0.0001 [2021-05-18 18:14:21 main:484] : INFO : Max Epochs: 128 [2021-05-18 18:14:21 main:485] : INFO : Batch Size: 128 [2021-05-18 18:14:21 main:486] : INFO : Learning Rate: 0.01 [2021-05-18 18:14:21 main:487] : INFO : Patience: 10 [2021-05-18 18:14:21 main:488] : INFO : Hidden Width: 12 [2021-05-18 18:14:21 main:489] : INFO : # Recurrent Layers: 4 [2021-05-18 18:14:21 main:490] : INFO : # Backend Layers: 4 [2021-05-18 18:14:21 main:491] : INFO : # Threads: 1 [2021-05-18 18:14:21 main:493] : INFO : Preparing Dataset [2021-05-18 18:14:21 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-05-18 18:14:21 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-05-18 18:14:22 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2021-05-18 18:14:22 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-05-18 18:14:22 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-05-18 18:14:22 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2021-05-18 18:14:22 main:501] : INFO : Creating Model [2021-05-18 18:14:22 main:514] : INFO : Preparing config file [2021-05-18 18:14:22 main:526] : INFO : Creating new config file [2021-05-18 18:14:22 main:566] : INFO : Loading DataLoader into Memory [2021-05-18 18:14:22 main:569] : INFO : Starting Training [2021-05-18 18:14:46 main:581] : INFO : Epoch 1 | loss: 0.0388503 | val_loss: 0.0317362 | Time: 24456.3 ms [2021-05-18 18:15:05 main:581] : INFO : Epoch 2 | loss: 0.0315675 | val_loss: 0.0313875 | Time: 19072.8 ms [2021-05-18 18:15:25 main:581] : INFO : Epoch 3 | loss: 0.0313095 | val_loss: 0.0312758 | Time: 19217.9 ms [2021-05-18 18:15:44 main:581] : INFO : Epoch 4 | loss: 0.0312616 | val_loss: 0.0312527 | Time: 19137.8 ms [2021-05-18 18:16:03 main:581] : INFO : Epoch 5 | loss: 0.0312533 | val_loss: 0.0312526 | Time: 19234.4 ms [2021-05-18 18:16:22 main:581] : INFO : Epoch 6 | loss: 0.0312513 | val_loss: 0.031251 | Time: 19127.5 ms [2021-05-18 18:16:41 main:581] : INFO : Epoch 7 | loss: 0.0312511 | val_loss: 0.0312508 | Time: 19014.8 ms [2021-05-18 18:17:00 main:581] : INFO : Epoch 8 | loss: 0.031252 | val_loss: 0.031254 | Time: 19103 ms [2021-05-18 18:17:20 main:581] : INFO : Epoch 9 | loss: 0.0312528 | val_loss: 0.0312538 | Time: 19212.1 ms [2021-05-18 18:17:39 main:581] : INFO : Epoch 10 | loss: 0.0312525 | val_loss: 0.031251 | Time: 19174.8 ms [2021-05-18 18:17:58 main:581] : INFO : Epoch 11 | loss: 0.0312517 | val_loss: 0.0312508 | Time: 19145.7 ms [2021-05-18 18:18:17 main:581] : INFO : Epoch 12 | loss: 0.0312506 | val_loss: 0.0312505 | Time: 19197.1 ms [2021-05-18 18:18:36 main:581] : INFO : Epoch 13 | loss: 0.0312507 | val_loss: 0.0312523 | Time: 19108.4 ms [2021-05-18 18:18:55 main:581] : INFO : Epoch 14 | loss: 0.0312509 | val_loss: 0.0312509 | Time: 19166.2 ms [2021-05-18 18:19:14 main:581] : INFO : Epoch 15 | loss: 0.0312507 | val_loss: 0.0312504 | Time: 19167 ms [2021-05-18 18:19:34 main:581] : INFO : Epoch 16 | loss: 0.0312505 | val_loss: 0.0312504 | Time: 19228.6 ms [2021-05-18 18:19:53 main:581] : INFO : Epoch 17 | loss: 0.0312519 | val_loss: 0.0312508 | Time: 19279.7 ms [2021-05-18 18:20:12 main:581] : INFO : Epoch 18 | loss: 0.0312531 | val_loss: 0.0312506 | Time: 19162.5 ms [2021-05-18 18:20:31 main:581] : INFO : Epoch 19 | loss: 0.0312532 | val_loss: 0.0312534 | Time: 19162.8 ms [2021-05-18 18:20:51 main:581] : INFO : Epoch 20 | loss: 0.0312538 | val_loss: 0.0312522 | Time: 19763.4 ms [2021-05-18 18:21:11 main:581] : INFO : Epoch 21 | loss: 0.0312506 | val_loss: 0.0312519 | Time: 19504.2 ms [2021-05-18 18:21:30 main:581] : INFO : Epoch 22 | loss: 0.0312522 | val_loss: 0.031251 | Time: 19152.8 ms [2021-05-18 18:21:49 main:581] : INFO : Epoch 23 | loss: 0.0312533 | val_loss: 0.0312509 | Time: 18966.5 ms [2021-05-18 18:22:08 main:581] : INFO : Epoch 24 | loss: 0.0312526 | val_loss: 0.0312502 | Time: 19201 ms [2021-05-18 18:22:27 main:581] : INFO : Epoch 25 | loss: 0.0312517 | val_loss: 0.0312528 | Time: 19137.3 ms [2021-05-18 18:22:46 main:581] : INFO : Epoch 26 | loss: 0.0312515 | val_loss: 0.0312518 | Time: 19220.9 ms [2021-05-18 18:23:05 main:581] : INFO : Epoch 27 | loss: 0.0312525 | val_loss: 0.0312507 | Time: 19055.6 ms [2021-05-18 18:23:24 main:581] : INFO : Epoch 28 | loss: 0.0312536 | val_loss: 0.0312522 | Time: 19149.1 ms [2021-05-18 18:23:44 main:581] : INFO : Epoch 29 | loss: 0.0312514 | val_loss: 0.0312522 | Time: 19095.1 ms [2021-05-18 18:24:03 main:581] : INFO : Epoch 30 | loss: 0.0312511 | val_loss: 0.0312507 | Time: 19194.4 ms [2021-05-18 18:24:22 main:581] : INFO : Epoch 31 | loss: 0.0312523 | val_loss: 0.0312505 | Time: 19134.4 ms [2021-05-18 18:24:41 main:581] : INFO : Epoch 32 | loss: 0.0312507 | val_loss: 0.0312504 | Time: 19126.7 ms [2021-05-18 18:25:00 main:581] : INFO : Epoch 33 | loss: 0.0312509 | val_loss: 0.0312535 | Time: 19171.9 ms [2021-05-18 18:25:19 main:581] : INFO : Epoch 34 | loss: 0.0312513 | val_loss: 0.0312505 | Time: 19150.5 ms [2021-05-18 18:25:39 main:581] : INFO : Epoch 35 | loss: 0.0312513 | val_loss: 0.0312525 | Time: 19212.5 ms [2021-05-18 18:25:58 main:581] : INFO : Epoch 36 | loss: 0.0312515 | val_loss: 0.0312509 | Time: 19095 ms [2021-05-18 18:26:17 main:581] : INFO : Epoch 37 | loss: 0.0312513 | val_loss: 0.031254 | Time: 19176.3 ms [2021-05-18 18:26:36 main:581] : INFO : Epoch 38 | loss: 0.0312514 | val_loss: 0.0312506 | Time: 19128.3 ms [2021-05-18 18:26:55 main:581] : INFO : Epoch 39 | loss: 0.0312521 | val_loss: 0.0312553 | Time: 19120.9 ms [2021-05-18 18:27:14 main:581] : INFO : Epoch 40 | loss: 0.0312525 | val_loss: 0.0312511 | Time: 19140.9 ms [2021-05-18 18:27:33 main:581] : INFO : Epoch 41 | loss: 0.0312505 | val_loss: 0.0312502 | Time: 19259.5 ms [2021-05-18 18:27:53 main:581] : INFO : Epoch 42 | loss: 0.0312502 | val_loss: 0.0312542 | Time: 19165.4 ms [2021-05-18 18:28:12 main:581] : INFO : Epoch 43 | loss: 0.0312516 | val_loss: 0.0312507 | Time: 19310.9 ms [2021-05-18 18:28:31 main:581] : INFO : Epoch 44 | loss: 0.0312511 | val_loss: 0.0312508 | Time: 19123.7 ms [2021-05-18 18:28:50 main:581] : INFO : Epoch 45 | loss: 0.0312509 | val_loss: 0.0312518 | Time: 19024.4 ms [2021-05-18 18:29:09 main:581] : INFO : Epoch 46 | loss: 0.0312501 | val_loss: 0.0312506 | Time: 19139 ms [2021-05-18 18:29:28 main:581] : INFO : Epoch 47 | loss: 0.0312505 | val_loss: 0.0312541 | Time: 19172.9 ms [2021-05-18 18:29:48 main:581] : INFO : Epoch 48 | loss: 0.0312524 | val_loss: 0.0312517 | Time: 19274.2 ms [2021-05-18 18:30:07 main:581] : INFO : Epoch 49 | loss: 0.0312504 | val_loss: 0.0312508 | Time: 19103.7 ms [2021-05-18 18:30:26 main:581] : INFO : Epoch 50 | loss: 0.0312541 | val_loss: 0.0312501 | Time: 19132.8 ms [2021-05-18 18:30:45 main:581] : INFO : Epoch 51 | loss: 0.0312515 | val_loss: 0.0312501 | Time: 19218 ms [2021-05-18 18:31:04 main:581] : INFO : Epoch 52 | loss: 0.0312498 | val_loss: 0.031253 | Time: 19156.8 ms [2021-05-18 18:31:23 main:581] : INFO : Epoch 53 | loss: 0.0312512 | val_loss: 0.0312505 | Time: 19162 ms [2021-05-18 18:31:43 main:581] : INFO : Epoch 54 | loss: 0.0312499 | val_loss: 0.0312514 | Time: 19145.7 ms [2021-05-18 18:32:02 main:581] : INFO : Epoch 55 | loss: 0.0312504 | val_loss: 0.0312503 | Time: 19226.3 ms [2021-05-18 18:32:21 main:581] : INFO : Epoch 56 | loss: 0.0312521 | val_loss: 0.0312551 | Time: 19077.6 ms [2021-05-18 18:32:40 main:581] : INFO : Epoch 57 | loss: 0.0312501 | val_loss: 0.0312505 | Time: 19082.5 ms [2021-05-18 18:32:59 main:581] : INFO : Epoch 58 | loss: 0.0312503 | val_loss: 0.0312509 | Time: 19158.8 ms [2021-05-18 18:33:18 main:581] : INFO : Epoch 59 | loss: 0.0312506 | val_loss: 0.0312514 | Time: 19150.4 ms [2021-05-18 18:33:37 main:581] : INFO : Epoch 60 | loss: 0.0312536 | val_loss: 0.0312529 | Time: 19136.3 ms [2021-05-18 18:33:57 main:581] : INFO : Epoch 61 | loss: 0.0312514 | val_loss: 0.0312545 | Time: 19081.3 ms [2021-05-18 18:34:16 main:581] : INFO : Epoch 62 | loss: 0.0312561 | val_loss: 0.0312554 | Time: 19007.1 ms [2021-05-18 18:34:35 main:581] : INFO : Epoch 63 | loss: 0.0312517 | val_loss: 0.0312502 | Time: 19035.5 ms [2021-05-18 18:34:54 main:581] : INFO : Epoch 64 | loss: 0.0312494 | val_loss: 0.0312508 | Time: 19152.4 ms [2021-05-18 18:35:13 main:581] : INFO : Epoch 65 | loss: 0.0312524 | val_loss: 0.0312516 | Time: 19138.3 ms [2021-05-18 18:35:32 main:581] : INFO : Epoch 66 | loss: 0.0312491 | val_loss: 0.0312495 | Time: 19211.4 ms [2021-05-18 18:35:51 main:581] : INFO : Epoch 67 | loss: 0.0312489 | val_loss: 0.0312491 | Time: 19196.8 ms [2021-05-18 18:36:10 main:581] : INFO : Epoch 68 | loss: 0.0312521 | val_loss: 0.03125 | Time: 19184.3 ms [2021-05-18 18:36:30 main:581] : INFO : Epoch 69 | loss: 0.0312516 | val_loss: 0.0312525 | Time: 19161 ms [2021-05-18 18:36:49 main:581] : INFO : Epoch 70 | loss: 0.0312464 | val_loss: 0.0312469 | Time: 19070 ms [2021-05-18 18:37:08 main:581] : INFO : Epoch 71 | loss: 0.0312458 | val_loss: 0.0312441 | Time: 19222.3 ms [2021-05-18 18:37:27 main:581] : INFO : Epoch 72 | loss: 0.0312403 | val_loss: 0.0312642 | Time: 19152.7 ms [2021-05-18 18:37:46 main:581] : INFO : Epoch 73 | loss: 0.0312388 | val_loss: 0.0312286 | Time: 19156.4 ms [2021-05-18 18:38:05 main:581] : INFO : Epoch 74 | loss: 0.0312304 | val_loss: 0.0312635 | Time: 19061.7 ms [2021-05-18 18:38:24 main:581] : INFO : Epoch 75 | loss: 0.0312224 | val_loss: 0.0312059 | Time: 19001.9 ms [2021-05-18 18:38:43 main:581] : INFO : Epoch 76 | loss: 0.0312044 | val_loss: 0.0311941 | Time: 19082.4 ms [2021-05-18 18:39:03 main:581] : INFO : Epoch 77 | loss: 0.0312054 | val_loss: 0.0311959 | Time: 19189.2 ms [2021-05-18 18:39:22 main:581] : INFO : Epoch 78 | loss: 0.0311883 | val_loss: 0.0311872 | Time: 19122.1 ms [2021-05-18 18:39:41 main:581] : INFO : Epoch 79 | loss: 0.0312032 | val_loss: 0.0311917 | Time: 19136.5 ms [2021-05-18 18:40:00 main:581] : INFO : Epoch 80 | loss: 0.0312042 | val_loss: 0.0312088 | Time: 19059.5 ms [2021-05-18 18:40:19 main:581] : INFO : Epoch 81 | loss: 0.0311848 | val_loss: 0.0311798 | Time: 19107.1 ms [2021-05-18 18:40:38 main:581] : INFO : Epoch 82 | loss: 0.0311795 | val_loss: 0.0311948 | Time: 18926.6 ms [2021-05-18 18:40:57 main:581] : INFO : Epoch 83 | loss: 0.0311868 | val_loss: 0.0311872 | Time: 19097.9 ms [2021-05-18 18:41:16 main:581] : INFO : Epoch 84 | loss: 0.0311807 | val_loss: 0.0311774 | Time: 19034.1 ms [2021-05-18 18:41:35 main:581] : INFO : Epoch 85 | loss: 0.0311766 | val_loss: 0.0311824 | Time: 19095.3 ms [2021-05-18 18:41:54 main:581] : INFO : Epoch 86 | loss: 0.0311762 | val_loss: 0.0311834 | Time: 19169.2 ms [2021-05-18 18:42:13 main:581] : INFO : Epoch 87 | loss: 0.0311771 | val_loss: 0.0311909 | Time: 19182.2 ms [2021-05-18 18:42:32 main:581] : INFO : Epoch 88 | loss: 0.0311759 | val_loss: 0.0311754 | Time: 19020.2 ms [2021-05-18 18:42:52 main:581] : INFO : Epoch 89 | loss: 0.0311729 | val_loss: 0.0311776 | Time: 19128.9 ms [2021-05-18 18:43:11 main:581] : INFO : Epoch 90 | loss: 0.0311704 | val_loss: 0.0311758 | Time: 19144.8 ms [2021-05-18 18:43:30 main:581] : INFO : Epoch 91 | loss: 0.03117 | val_loss: 0.0311758 | Time: 19160.1 ms [2021-05-18 18:43:49 main:581] : INFO : Epoch 92 | loss: 0.0311715 | val_loss: 0.031174 | Time: 19244.4 ms [2021-05-18 18:44:08 main:581] : INFO : Epoch 93 | loss: 0.0311716 | val_loss: 0.0311771 | Time: 19193.1 ms [2021-05-18 18:44:27 main:581] : INFO : Epoch 94 | loss: 0.0311692 | val_loss: 0.0311743 | Time: 19027.2 ms [2021-05-18 18:44:47 main:581] : INFO : Epoch 95 | loss: 0.03117 | val_loss: 0.0311762 | Time: 19122.9 ms [2021-05-18 18:45:06 main:581] : INFO : Epoch 96 | loss: 0.0311681 | val_loss: 0.0311752 | Time: 19020.2 ms [2021-05-18 18:45:25 main:581] : INFO : Epoch 97 | loss: 0.0311676 | val_loss: 0.0311853 | Time: 19202.2 ms [2021-05-18 18:45:44 main:581] : INFO : Epoch 98 | loss: 0.0311706 | val_loss: 0.0311722 | Time: 19350.3 ms [2021-05-18 18:46:03 main:581] : INFO : Epoch 99 | loss: 0.0311657 | val_loss: 0.0311764 | Time: 19268.1 ms [2021-05-18 18:46:23 main:581] : INFO : Epoch 100 | loss: 0.0311682 | val_loss: 0.0311815 | Time: 19158.4 ms [2021-05-18 18:46:42 main:581] : INFO : Epoch 101 | loss: 0.0311674 | val_loss: 0.0311746 | Time: 19175 ms [2021-05-18 18:47:01 main:581] : INFO : Epoch 102 | loss: 0.0311679 | val_loss: 0.0311856 | Time: 19196.8 ms [2021-05-18 18:47:20 main:581] : INFO : Epoch 103 | loss: 0.0311654 | val_loss: 0.0311741 | Time: 19136.3 ms [2021-05-18 18:47:39 main:581] : INFO : Epoch 104 | loss: 0.0311626 | val_loss: 0.0311733 | Time: 19176.7 ms [2021-05-18 18:47:58 main:581] : INFO : Epoch 105 | loss: 0.031163 | val_loss: 0.0311722 | Time: 19229 ms [2021-05-18 18:48:18 main:581] : INFO : Epoch 106 | loss: 0.0311643 | val_loss: 0.0311749 | Time: 19142.2 ms [2021-05-18 18:48:37 main:581] : INFO : Epoch 107 | loss: 0.03116 | val_loss: 0.0311799 | Time: 19207 ms [2021-05-18 18:48:56 main:581] : INFO : Epoch 108 | loss: 0.0311588 | val_loss: 0.0311731 | Time: 19139.3 ms [2021-05-18 18:49:15 main:581] : INFO : Epoch 109 | loss: 0.0311578 | val_loss: 0.0311747 | Time: 19107.5 ms [2021-05-18 18:49:34 main:581] : INFO : Epoch 110 | loss: 0.0311557 | val_loss: 0.0311776 | Time: 19161.1 ms [2021-05-18 18:49:53 main:581] : INFO : Epoch 111 | loss: 0.0311577 | val_loss: 0.0311759 | Time: 19258.1 ms [2021-05-18 18:50:13 main:581] : INFO : Epoch 112 | loss: 0.0311553 | val_loss: 0.031173 | Time: 19303 ms [2021-05-18 18:50:32 main:581] : INFO : Epoch 113 | loss: 0.0311531 | val_loss: 0.0311701 | Time: 19117.2 ms [2021-05-18 18:50:51 main:581] : INFO : Epoch 114 | loss: 0.0311556 | val_loss: 0.031171 | Time: 19155.3 ms [2021-05-18 18:51:10 main:581] : INFO : Epoch 115 | loss: 0.0311522 | val_loss: 0.0311828 | Time: 19187.8 ms [2021-05-18 18:51:29 main:581] : INFO : Epoch 116 | loss: 0.0311525 | val_loss: 0.0311765 | Time: 19272.2 ms [2021-05-18 18:51:49 main:581] : INFO : Epoch 117 | loss: 0.0311583 | val_loss: 0.0311973 | Time: 19241.8 ms [2021-05-18 18:52:08 main:581] : INFO : Epoch 118 | loss: 0.0311537 | val_loss: 0.0311673 | Time: 19192.3 ms [2021-05-18 18:52:27 main:581] : INFO : Epoch 119 | loss: 0.0311466 | val_loss: 0.0311758 | Time: 19175.4 ms [2021-05-18 18:52:46 main:581] : INFO : Epoch 120 | loss: 0.031146 | val_loss: 0.0311943 | Time: 19181.5 ms [2021-05-18 18:53:05 main:581] : INFO : Epoch 121 | loss: 0.0311544 | val_loss: 0.0311798 | Time: 19022.7 ms [2021-05-18 18:53:24 main:581] : INFO : Epoch 122 | loss: 0.031157 | val_loss: 0.0311845 | Time: 19113.5 ms [2021-05-18 18:53:44 main:581] : INFO : Epoch 123 | loss: 0.0311447 | val_loss: 0.0311739 | Time: 19150 ms [2021-05-18 18:54:03 main:581] : INFO : Epoch 124 | loss: 0.0311401 | val_loss: 0.0311739 | Time: 19078.6 ms [2021-05-18 18:54:22 main:581] : INFO : Epoch 125 | loss: 0.0311397 | val_loss: 0.0311766 | Time: 19174.9 ms [2021-05-18 18:54:41 main:581] : INFO : Epoch 126 | loss: 0.0311392 | val_loss: 0.0311679 | Time: 19044.2 ms [2021-05-18 18:55:00 main:581] : INFO : Epoch 127 | loss: 0.0311408 | val_loss: 0.0311838 | Time: 19090.5 ms [2021-05-18 18:55:19 main:581] : INFO : Epoch 128 | loss: 0.0311454 | val_loss: 0.0311823 | Time: 19156.8 ms [2021-05-18 18:55:19 main:604] : INFO : Saving trained model to model-final.pt, val_loss 0.0311823 [2021-05-18 18:55:19 main:610] : INFO : Saving end state to config to file [2021-05-18 18:55:19 main:615] : INFO : Success, exiting.. 18:55:19 (735080): 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)