| Name | ParityModified-1607233791-4234-45_4 |
| Workunit | 3060047 |
| Created | 28 Apr 2021, 16:36:52 UTC |
| Sent | 1 May 2021, 19:59:28 UTC |
| Report deadline | 8 May 2021, 19:59:28 UTC |
| Received | 2 May 2021, 17:39:24 UTC |
| Server state | Over |
| Outcome | Validate error |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 11140 |
| Run time | 40 min 39 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 |
<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 -c --maxepoch 128 nthreads: 1 gpudev: 0 Re-exec()-ing to set environment correctly 12:58:33 (3962670): 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]) [2021-05-02 12:58:34 main:442] : INFO : Set logging level to 1 [2021-05-02 12:58:34 main:448] : INFO : Running in BOINC Client mode [2021-05-02 12:58:34 main:451] : INFO : Resolving all filenames [2021-05-02 12:58:34 main:459] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 (exists = 1) [2021-05-02 12:58:34 main:459] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1607233791-4234-45_4_r1138829138_1 (exists = 0) [2021-05-02 12:58:34 main:459] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1607233791-4234-45_4_r1138829138_0 (exists = 0) [2021-05-02 12:58:34 main:459] : INFO : Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1607233791-4234-45 (exists = 1) [2021-05-02 12:58:34 main:459] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2021-05-02 12:58:34 main:479] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 [2021-05-02 12:58:34 main:481] : INFO : Configuration: [2021-05-02 12:58:34 main:482] : INFO : Model type: GRU [2021-05-02 12:58:34 main:483] : INFO : Validation Loss Threshold: 0.0001 [2021-05-02 12:58:34 main:484] : INFO : Max Epochs: 128 [2021-05-02 12:58:34 main:485] : INFO : Batch Size: 128 [2021-05-02 12:58:34 main:486] : INFO : Learning Rate: 0.01 [2021-05-02 12:58:34 main:487] : INFO : Patience: 10 [2021-05-02 12:58:34 main:488] : INFO : Hidden Width: 12 [2021-05-02 12:58:34 main:489] : INFO : # Recurrent Layers: 4 [2021-05-02 12:58:34 main:490] : INFO : # Backend Layers: 4 [2021-05-02 12:58:34 main:491] : INFO : # Threads: 1 [2021-05-02 12:58:34 main:493] : INFO : Preparing Dataset [2021-05-02 12:58:34 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-05-02 12:58:34 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-05-02 12:58:35 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2021-05-02 12:58:35 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-05-02 12:58:35 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory [2021-05-02 12:58:35 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2021-05-02 12:58:35 main:501] : INFO : Creating Model [2021-05-02 12:58:35 main:514] : INFO : Preparing config file [2021-05-02 12:58:35 main:526] : INFO : Creating new config file [2021-05-02 12:58:35 main:545] : INFO : This is a continuation WU, loading previous network [2021-05-02 12:58:35 main:566] : INFO : Loading DataLoader into Memory [2021-05-02 12:58:35 main:569] : INFO : Starting Training [2021-05-02 12:58:59 main:581] : INFO : Epoch 1 | loss: 0.0314953 | val_loss: 0.0312829 | Time: 24198.1 ms [2021-05-02 12:59:19 main:581] : INFO : Epoch 2 | loss: 0.03125 | val_loss: 0.0312214 | Time: 19050.8 ms [2021-05-02 12:59:38 main:581] : INFO : Epoch 3 | loss: 0.0312074 | val_loss: 0.0311956 | Time: 19070.5 ms [2021-05-02 12:59:57 main:581] : INFO : Epoch 4 | loss: 0.0311894 | val_loss: 0.0311842 | Time: 18924.9 ms [2021-05-02 13:00:15 main:581] : INFO : Epoch 5 | loss: 0.0311808 | val_loss: 0.0311785 | Time: 18936 ms [2021-05-02 13:00:34 main:581] : INFO : Epoch 6 | loss: 0.0311776 | val_loss: 0.031179 | Time: 18960.3 ms [2021-05-02 13:00:53 main:581] : INFO : Epoch 7 | loss: 0.0311754 | val_loss: 0.0311768 | Time: 19021.6 ms [2021-05-02 13:01:12 main:581] : INFO : Epoch 8 | loss: 0.0311709 | val_loss: 0.0311736 | Time: 18995.4 ms [2021-05-02 13:01:31 main:581] : INFO : Epoch 9 | loss: 0.0311699 | val_loss: 0.0311764 | Time: 18932.4 ms [2021-05-02 13:01:50 main:581] : INFO : Epoch 10 | loss: 0.0311683 | val_loss: 0.0311765 | Time: 18942.7 ms [2021-05-02 13:02:09 main:581] : INFO : Epoch 11 | loss: 0.0311661 | val_loss: 0.031171 | Time: 19017.3 ms [2021-05-02 13:02:28 main:581] : INFO : Epoch 12 | loss: 0.0311648 | val_loss: 0.0311711 | Time: 19040.9 ms [2021-05-02 13:02:47 main:581] : INFO : Epoch 13 | loss: 0.0311609 | val_loss: 0.0311725 | Time: 18977.7 ms [2021-05-02 13:03:06 main:581] : INFO : Epoch 14 | loss: 0.0311593 | val_loss: 0.0311734 | Time: 18948 ms [2021-05-02 13:03:25 main:581] : INFO : Epoch 15 | loss: 0.0311586 | val_loss: 0.0311718 | Time: 19080.7 ms [2021-05-02 13:03:44 main:581] : INFO : Epoch 16 | loss: 0.0311618 | val_loss: 0.0311771 | Time: 19047.4 ms [2021-05-02 13:04:03 main:581] : INFO : Epoch 17 | loss: 0.0311654 | val_loss: 0.0311731 | Time: 19050 ms [2021-05-02 13:04:23 main:581] : INFO : Epoch 18 | loss: 0.031165 | val_loss: 0.0311735 | Time: 19019.4 ms [2021-05-02 13:04:41 main:581] : INFO : Epoch 19 | loss: 0.0311614 | val_loss: 0.0311692 | Time: 18957.2 ms [2021-05-02 13:05:01 main:581] : INFO : Epoch 20 | loss: 0.0311576 | val_loss: 0.0311681 | Time: 19046.6 ms [2021-05-02 13:05:19 main:581] : INFO : Epoch 21 | loss: 0.0311558 | val_loss: 0.031166 | Time: 18933.6 ms [2021-05-02 13:05:38 main:581] : INFO : Epoch 22 | loss: 0.031154 | val_loss: 0.031169 | Time: 19041.8 ms [2021-05-02 13:05:57 main:581] : INFO : Epoch 23 | loss: 0.0311563 | val_loss: 0.0311671 | Time: 18998.5 ms [2021-05-02 13:06:16 main:581] : INFO : Epoch 24 | loss: 0.0311559 | val_loss: 0.0311688 | Time: 18986.8 ms [2021-05-02 13:06:35 main:581] : INFO : Epoch 25 | loss: 0.0311527 | val_loss: 0.031169 | Time: 18991 ms [2021-05-02 13:06:54 main:581] : INFO : Epoch 26 | loss: 0.0311504 | val_loss: 0.0311702 | Time: 18929.7 ms [2021-05-02 13:07:13 main:581] : INFO : Epoch 27 | loss: 0.0311484 | val_loss: 0.0311676 | Time: 19019.4 ms [2021-05-02 13:07:32 main:581] : INFO : Epoch 28 | loss: 0.0311479 | val_loss: 0.0311662 | Time: 19023.9 ms [2021-05-02 13:07:52 main:581] : INFO : Epoch 29 | loss: 0.0311485 | val_loss: 0.0311657 | Time: 19058.4 ms [2021-05-02 13:08:10 main:581] : INFO : Epoch 30 | loss: 0.0311461 | val_loss: 0.0311669 | Time: 18968.7 ms [2021-05-02 13:08:29 main:581] : INFO : Epoch 31 | loss: 0.0311478 | val_loss: 0.0311666 | Time: 18864.1 ms [2021-05-02 13:08:48 main:581] : INFO : Epoch 32 | loss: 0.0311502 | val_loss: 0.0311683 | Time: 19080.2 ms [2021-05-02 13:09:07 main:581] : INFO : Epoch 33 | loss: 0.0311491 | val_loss: 0.0311691 | Time: 19011.1 ms [2021-05-02 13:09:26 main:581] : INFO : Epoch 34 | loss: 0.0311484 | val_loss: 0.0311662 | Time: 18984.1 ms [2021-05-02 13:09:45 main:581] : INFO : Epoch 35 | loss: 0.0311454 | val_loss: 0.0311696 | Time: 19021.1 ms [2021-05-02 13:10:04 main:581] : INFO : Epoch 36 | loss: 0.0311428 | val_loss: 0.031168 | Time: 18927.9 ms [2021-05-02 13:10:23 main:581] : INFO : Epoch 37 | loss: 0.0311445 | val_loss: 0.0311666 | Time: 18973.1 ms [2021-05-02 13:10:42 main:581] : INFO : Epoch 38 | loss: 0.0311452 | val_loss: 0.0311673 | Time: 18953.5 ms [2021-05-02 13:11:01 main:581] : INFO : Epoch 39 | loss: 0.0311445 | val_loss: 0.0311647 | Time: 18970.8 ms [2021-05-02 13:11:20 main:581] : INFO : Epoch 40 | loss: 0.0311445 | val_loss: 0.031166 | Time: 18964.3 ms [2021-05-02 13:11:39 main:581] : INFO : Epoch 41 | loss: 0.0311434 | val_loss: 0.0311679 | Time: 19041.7 ms [2021-05-02 13:11:58 main:581] : INFO : Epoch 42 | loss: 0.0311425 | val_loss: 0.0311683 | Time: 18945.2 ms [2021-05-02 13:12:17 main:581] : INFO : Epoch 43 | loss: 0.0311414 | val_loss: 0.0311675 | Time: 19012.3 ms [2021-05-02 13:12:36 main:581] : INFO : Epoch 44 | loss: 0.0311436 | val_loss: 0.0311676 | Time: 19108.8 ms [2021-05-02 13:12:55 main:581] : INFO : Epoch 45 | loss: 0.0311453 | val_loss: 0.031172 | Time: 19003.6 ms [2021-05-02 13:13:14 main:581] : INFO : Epoch 46 | loss: 0.0311469 | val_loss: 0.0311723 | Time: 19001.8 ms [2021-05-02 13:13:33 main:581] : INFO : Epoch 47 | loss: 0.0311493 | val_loss: 0.0311684 | Time: 19050.9 ms [2021-05-02 13:13:52 main:581] : INFO : Epoch 48 | loss: 0.031144 | val_loss: 0.0311732 | Time: 18932.7 ms [2021-05-02 13:14:11 main:581] : INFO : Epoch 49 | loss: 0.0311429 | val_loss: 0.0311721 | Time: 18991.5 ms [2021-05-02 13:14:30 main:581] : INFO : Epoch 50 | loss: 0.0311429 | val_loss: 0.0311697 | Time: 18921.1 ms [2021-05-02 13:14:49 main:581] : INFO : Epoch 51 | loss: 0.0311387 | val_loss: 0.0311681 | Time: 18948.7 ms [2021-05-02 13:15:08 main:581] : INFO : Epoch 52 | loss: 0.0311404 | val_loss: 0.0311707 | Time: 18969.2 ms [2021-05-02 13:15:27 main:581] : INFO : Epoch 53 | loss: 0.0311391 | val_loss: 0.031168 | Time: 18862.6 ms [2021-05-02 13:15:46 main:581] : INFO : Epoch 54 | loss: 0.0311394 | val_loss: 0.0311676 | Time: 19017.2 ms [2021-05-02 13:16:05 main:581] : INFO : Epoch 55 | loss: 0.0311382 | val_loss: 0.0311736 | Time: 18850.7 ms [2021-05-02 13:16:24 main:581] : INFO : Epoch 56 | loss: 0.0311391 | val_loss: 0.03117 | Time: 18878 ms [2021-05-02 13:16:43 main:581] : INFO : Epoch 57 | loss: 0.0311382 | val_loss: 0.0311679 | Time: 18832.7 ms [2021-05-02 13:17:02 main:581] : INFO : Epoch 58 | loss: 0.0311391 | val_loss: 0.0311655 | Time: 18963.9 ms [2021-05-02 13:17:20 main:581] : INFO : Epoch 59 | loss: 0.0311404 | val_loss: 0.0311683 | Time: 18910.9 ms [2021-05-02 13:17:40 main:581] : INFO : Epoch 60 | loss: 0.0311425 | val_loss: 0.0311696 | Time: 19129.7 ms [2021-05-02 13:17:58 main:581] : INFO : Epoch 61 | loss: 0.0311415 | val_loss: 0.0311679 | Time: 18903.6 ms [2021-05-02 13:18:18 main:581] : INFO : Epoch 62 | loss: 0.0311366 | val_loss: 0.03117 | Time: 19178.7 ms [2021-05-02 13:18:37 main:581] : INFO : Epoch 63 | loss: 0.0311352 | val_loss: 0.0311688 | Time: 19000.9 ms [2021-05-02 13:18:56 main:581] : INFO : Epoch 64 | loss: 0.0311356 | val_loss: 0.0311684 | Time: 18932.6 ms [2021-05-02 13:19:15 main:581] : INFO : Epoch 65 | loss: 0.0311355 | val_loss: 0.0311689 | Time: 19016.2 ms [2021-05-02 13:19:34 main:581] : INFO : Epoch 66 | loss: 0.0311351 | val_loss: 0.0311703 | Time: 18922.1 ms [2021-05-02 13:19:52 main:581] : INFO : Epoch 67 | loss: 0.0311362 | val_loss: 0.0311679 | Time: 18898 ms [2021-05-02 13:20:11 main:581] : INFO : Epoch 68 | loss: 0.031134 | val_loss: 0.0311687 | Time: 18902.9 ms [2021-05-02 13:20:30 main:581] : INFO : Epoch 69 | loss: 0.0311314 | val_loss: 0.0311738 | Time: 18985.3 ms [2021-05-02 13:20:49 main:581] : INFO : Epoch 70 | loss: 0.031133 | val_loss: 0.0311691 | Time: 18884.4 ms [2021-05-02 13:21:08 main:581] : INFO : Epoch 71 | loss: 0.0311352 | val_loss: 0.0311692 | Time: 18955.2 ms [2021-05-02 13:21:27 main:581] : INFO : Epoch 72 | loss: 0.0311399 | val_loss: 0.03117 | Time: 18947.1 ms [2021-05-02 13:21:46 main:581] : INFO : Epoch 73 | loss: 0.0311534 | val_loss: 0.0311691 | Time: 18875.3 ms [2021-05-02 13:22:05 main:581] : INFO : Epoch 74 | loss: 0.0311479 | val_loss: 0.0311669 | Time: 18930.9 ms [2021-05-02 13:22:24 main:581] : INFO : Epoch 75 | loss: 0.0311449 | val_loss: 0.031168 | Time: 18922 ms [2021-05-02 13:22:43 main:581] : INFO : Epoch 76 | loss: 0.0311637 | val_loss: 0.0311757 | Time: 19057.7 ms [2021-05-02 13:23:02 main:581] : INFO : Epoch 77 | loss: 0.0311679 | val_loss: 0.0311726 | Time: 18895.8 ms [2021-05-02 13:23:21 main:581] : INFO : Epoch 78 | loss: 0.0311611 | val_loss: 0.0311671 | Time: 18989.3 ms [2021-05-02 13:23:40 main:581] : INFO : Epoch 79 | loss: 0.0311578 | val_loss: 0.031165 | Time: 18949.7 ms [2021-05-02 13:23:59 main:581] : INFO : Epoch 80 | loss: 0.031153 | val_loss: 0.0311656 | Time: 18978.9 ms [2021-05-02 13:24:18 main:581] : INFO : Epoch 81 | loss: 0.0311521 | val_loss: 0.0311647 | Time: 18891.6 ms [2021-05-02 13:24:37 main:581] : INFO : Epoch 82 | loss: 0.0311495 | val_loss: 0.0311638 | Time: 18894.8 ms [2021-05-02 13:24:55 main:581] : INFO : Epoch 83 | loss: 0.0311485 | val_loss: 0.031165 | Time: 18912.5 ms [2021-05-02 13:25:14 main:581] : INFO : Epoch 84 | loss: 0.0311467 | val_loss: 0.0311616 | Time: 18882 ms [2021-05-02 13:25:33 main:581] : INFO : Epoch 85 | loss: 0.0311458 | val_loss: 0.0311619 | Time: 18959.6 ms [2021-05-02 13:25:52 main:581] : INFO : Epoch 86 | loss: 0.0311443 | val_loss: 0.0311617 | Time: 18901 ms [2021-05-02 13:26:11 main:581] : INFO : Epoch 87 | loss: 0.0311429 | val_loss: 0.0311614 | Time: 19072.3 ms [2021-05-02 13:26:30 main:581] : INFO : Epoch 88 | loss: 0.0311433 | val_loss: 0.0311646 | Time: 18933.8 ms [2021-05-02 13:26:49 main:581] : INFO : Epoch 89 | loss: 0.0311416 | val_loss: 0.0311636 | Time: 18865.6 ms [2021-05-02 13:27:08 main:581] : INFO : Epoch 90 | loss: 0.0311395 | val_loss: 0.0311601 | Time: 18970.6 ms [2021-05-02 13:27:28 main:581] : INFO : Epoch 91 | loss: 0.0311383 | val_loss: 0.0311617 | Time: 19616.5 ms [2021-05-02 13:27:47 main:581] : INFO : Epoch 92 | loss: 0.0311382 | val_loss: 0.0311663 | Time: 19204 ms [2021-05-02 13:28:06 main:581] : INFO : Epoch 93 | loss: 0.0311375 | val_loss: 0.031165 | Time: 18884.8 ms [2021-05-02 13:28:25 main:581] : INFO : Epoch 94 | loss: 0.0311388 | val_loss: 0.03117 | Time: 18934.6 ms [2021-05-02 13:28:44 main:581] : INFO : Epoch 95 | loss: 0.0311372 | val_loss: 0.031163 | Time: 19088.6 ms [2021-05-02 13:29:03 main:581] : INFO : Epoch 96 | loss: 0.031135 | val_loss: 0.0311676 | Time: 18922.7 ms [2021-05-02 13:29:22 main:581] : INFO : Epoch 97 | loss: 0.0311339 | val_loss: 0.0311657 | Time: 19009.9 ms [2021-05-02 13:29:41 main:581] : INFO : Epoch 98 | loss: 0.0311357 | val_loss: 0.031166 | Time: 18981.4 ms [2021-05-02 13:30:00 main:581] : INFO : Epoch 99 | loss: 0.0311381 | val_loss: 0.0311686 | Time: 19175.5 ms [2021-05-02 13:30:19 main:581] : INFO : Epoch 100 | loss: 0.0311347 | val_loss: 0.0311686 | Time: 18969.6 ms [2021-05-02 13:30:38 main:581] : INFO : Epoch 101 | loss: 0.0311382 | val_loss: 0.0311754 | Time: 19038.3 ms [2021-05-02 13:30:57 main:581] : INFO : Epoch 102 | loss: 0.0311393 | val_loss: 0.0311674 | Time: 18914.8 ms [2021-05-02 13:31:16 main:581] : INFO : Epoch 103 | loss: 0.0311364 | val_loss: 0.0311717 | Time: 18865.8 ms [2021-05-02 13:31:34 main:581] : INFO : Epoch 104 | loss: 0.031137 | val_loss: 0.0311743 | Time: 18771.2 ms [2021-05-02 13:31:53 main:581] : INFO : Epoch 105 | loss: 0.0311368 | val_loss: 0.0311667 | Time: 18788 ms [2021-05-02 13:32:12 main:581] : INFO : Epoch 106 | loss: 0.0311345 | val_loss: 0.0311674 | Time: 18843.6 ms [2021-05-02 13:32:31 main:581] : INFO : Epoch 107 | loss: 0.0311322 | val_loss: 0.0311681 | Time: 18811.8 ms [2021-05-02 13:32:50 main:581] : INFO : Epoch 108 | loss: 0.0311309 | val_loss: 0.0311694 | Time: 18823.3 ms [2021-05-02 13:33:09 main:581] : INFO : Epoch 109 | loss: 0.031131 | val_loss: 0.0311708 | Time: 19001.7 ms [2021-05-02 13:33:28 main:581] : INFO : Epoch 110 | loss: 0.0311289 | val_loss: 0.031171 | Time: 18997.8 ms [2021-05-02 13:33:47 main:581] : INFO : Epoch 111 | loss: 0.0311294 | val_loss: 0.0311672 | Time: 18998.1 ms [2021-05-02 13:34:06 main:581] : INFO : Epoch 112 | loss: 0.0311342 | val_loss: 0.0311661 | Time: 18966.2 ms [2021-05-02 13:34:25 main:581] : INFO : Epoch 113 | loss: 0.0311337 | val_loss: 0.0311697 | Time: 18936.1 ms [2021-05-02 13:34:44 main:581] : INFO : Epoch 114 | loss: 0.0311321 | val_loss: 0.0311681 | Time: 19021 ms [2021-05-02 13:35:03 main:581] : INFO : Epoch 115 | loss: 0.0311326 | val_loss: 0.0311712 | Time: 19037.3 ms [2021-05-02 13:35:22 main:581] : INFO : Epoch 116 | loss: 0.0311343 | val_loss: 0.0311707 | Time: 18930.8 ms [2021-05-02 13:35:41 main:581] : INFO : Epoch 117 | loss: 0.0311409 | val_loss: 0.0311717 | Time: 18960.5 ms [2021-05-02 13:35:59 main:581] : INFO : Epoch 118 | loss: 0.0311427 | val_loss: 0.0311672 | Time: 18983.6 ms [2021-05-02 13:36:18 main:581] : INFO : Epoch 119 | loss: 0.0311417 | val_loss: 0.0311695 | Time: 18886.8 ms [2021-05-02 13:36:37 main:581] : INFO : Epoch 120 | loss: 0.0311389 | val_loss: 0.0311691 | Time: 18969.8 ms [2021-05-02 13:36:56 main:581] : INFO : Epoch 121 | loss: 0.0311352 | val_loss: 0.0311677 | Time: 19021.4 ms [2021-05-02 13:37:15 main:581] : INFO : Epoch 122 | loss: 0.0311358 | val_loss: 0.0311692 | Time: 18897 ms [2021-05-02 13:37:34 main:581] : INFO : Epoch 123 | loss: 0.0311314 | val_loss: 0.0311683 | Time: 18941.8 ms [2021-05-02 13:37:53 main:581] : INFO : Epoch 124 | loss: 0.0311303 | val_loss: 0.0311663 | Time: 19057.6 ms [2021-05-02 13:38:12 main:581] : INFO : Epoch 125 | loss: 0.0311311 | val_loss: 0.0311691 | Time: 18933.7 ms [2021-05-02 13:38:31 main:581] : INFO : Epoch 126 | loss: 0.031131 | val_loss: 0.0311734 | Time: 18907.9 ms [2021-05-02 13:38:50 main:581] : INFO : Epoch 127 | loss: 0.0311302 | val_loss: 0.0311678 | Time: 18959.8 ms [2021-05-02 13:39:09 main:581] : INFO : Epoch 128 | loss: 0.0311315 | val_loss: 0.0311754 | Time: 18902.7 ms [2021-05-02 13:39:09 main:604] : INFO : Saving trained model to model-final.pt, val_loss 0.0311754 [2021-05-02 13:39:09 main:610] : INFO : Saving end state to config to file [2021-05-02 13:39:09 main:615] : INFO : Success, exiting.. 13:39:09 (3962670): 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)