Task 2820478
| Name | rand_automata_0024-1604947857-31819-3_0 |
| Workunit | 1270936 |
| Created | 10 Nov 2020, 19:21:23 UTC |
| Sent | 10 Nov 2020, 19:21:25 UTC |
| Report deadline | 17 Nov 2020, 19:21:25 UTC |
| Received | 10 Nov 2020, 20:07:08 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 574 |
| Run time | 23 min 22 sec |
| CPU time | 22 min 50 sec |
| Validate state | Valid |
| Credit | 959.40 |
| Device peak FLOPS | 1,475.31 GFLOPS |
| Application version | Machine Learning Dataset Generator (test) v9.75 (cuda10200) windows_x86_64 |
| Peak working set size | 1.41 GB |
| Peak swap size | 3.00 GB |
| Peak disk usage | 1.54 GB |
Stderr output
<core_client_version>7.16.11</core_client_version> <![CDATA[ <stderr_txt> Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: GeForce GTX 750 Ti) [2020-11-10 20:43:47 main:435] : INFO : Set logging level to 1 [2020-11-10 20:43:47 main:441] : INFO : Running in BOINC Client mode [2020-11-10 20:43:47 main:444] : INFO : Resolving all filenames [2020-11-10 20:43:47 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0024-train-val-dataset.hdf5 (exists = 1) [2020-11-10 20:43:47 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0024-1604947857-31819-3_0_r1079024952_1 (exists = 0) [2020-11-10 20:43:47 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0024-1604947857-31819-3_0_r1079024952_0 (exists = 0) [2020-11-10 20:43:47 main:452] : INFO : Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0024-1604947857-31819-3 (exists = 1) [2020-11-10 20:43:47 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-10 20:43:47 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/rand_automata_0024-train-val-dataset.hdf5 [2020-11-10 20:43:47 main:474] : INFO : Configuration: [2020-11-10 20:43:47 main:475] : INFO : Model type: LSTM [2020-11-10 20:43:47 main:476] : INFO : Validation Loss Threshold: 0.0001 [2020-11-10 20:43:47 main:477] : INFO : Max Epochs: 192 [2020-11-10 20:43:47 main:478] : INFO : Batch Size: 32 [2020-11-10 20:43:47 main:479] : INFO : Learning Rate: 0.001 [2020-11-10 20:43:47 main:480] : INFO : Patience: 10 [2020-11-10 20:43:47 main:481] : INFO : Hidden Width: 64 [2020-11-10 20:43:47 main:482] : INFO : # Recurrent Layers: 4 [2020-11-10 20:43:47 main:483] : INFO : # Backend Layers: 2 [2020-11-10 20:43:47 main:484] : INFO : # Threads: 1 [2020-11-10 20:43:48 main:486] : INFO : Preparing Dataset [2020-11-10 20:43:48 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0024-train-val-dataset.hdf5 into memory [2020-11-10 20:43:48 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0024-train-val-dataset.hdf5 into memory [2020-11-10 20:43:50 load:106] : INFO : Successfully loaded dataset of 4096 examples into memory. [2020-11-10 20:43:50 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0024-train-val-dataset.hdf5 into memory [2020-11-10 20:43:50 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0024-train-val-dataset.hdf5 into memory [2020-11-10 20:43:51 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-10 20:43:51 main:494] : INFO : Creating Model [2020-11-10 20:43:51 main:507] : INFO : Preparing config file [2020-11-10 20:43:51 main:519] : INFO : Creating new config file [2020-11-10 20:43:51 main:538] : INFO : This is a continuation WU, loading previous network [2020-11-10 20:43:52 main:559] : INFO : Loading DataLoader into Memory [2020-11-10 20:43:52 main:562] : INFO : Starting Training [2020-11-10 20:44:00 main:574] : INFO : Epoch 1 | loss: 0.0421549 | val_loss: 0.0424108 | Time: 7730.08 ms [2020-11-10 20:44:07 main:574] : INFO : Epoch 2 | loss: 0.0397565 | val_loss: 0.0375485 | Time: 7020.64 ms [2020-11-10 20:44:14 main:574] : INFO : Epoch 3 | loss: 0.0346383 | val_loss: 0.0314041 | Time: 7175.62 ms [2020-11-10 20:44:22 main:574] : INFO : Epoch 4 | loss: 0.0341988 | val_loss: 0.0389753 | Time: 7251.9 ms [2020-11-10 20:44:29 main:574] : INFO : Epoch 5 | loss: 0.0403241 | val_loss: 0.0447107 | Time: 6925.74 ms [2020-11-10 20:44:36 main:574] : INFO : Epoch 6 | loss: 0.0483269 | val_loss: 0.0497205 | Time: 7518.07 ms [2020-11-10 20:44:43 main:574] : INFO : Epoch 7 | loss: 0.0499655 | val_loss: 0.0493755 | Time: 7044.46 ms [2020-11-10 20:44:51 main:574] : INFO : Epoch 8 | loss: 0.0479196 | val_loss: 0.0462501 | Time: 7520.85 ms [2020-11-10 20:44:58 main:574] : INFO : Epoch 9 | loss: 0.0447247 | val_loss: 0.0427818 | Time: 7325.62 ms [2020-11-10 20:45:06 main:574] : INFO : Epoch 10 | loss: 0.0451687 | val_loss: 0.0543582 | Time: 7302.57 ms [2020-11-10 20:45:13 main:574] : INFO : Epoch 11 | loss: 0.0537213 | val_loss: 0.0530951 | Time: 7528.98 ms [2020-11-10 20:45:21 main:574] : INFO : Epoch 12 | loss: 0.0518243 | val_loss: 0.0508771 | Time: 7381.06 ms [2020-11-10 20:45:28 main:574] : INFO : Epoch 13 | loss: 0.0495434 | val_loss: 0.0488957 | Time: 6972.03 ms [2020-11-10 20:45:35 main:574] : INFO : Epoch 14 | loss: 0.0487366 | val_loss: 0.0478315 | Time: 7606.5 ms [2020-11-10 20:45:43 main:574] : INFO : Epoch 15 | loss: 0.0464769 | val_loss: 0.0448501 | Time: 7287.93 ms [2020-11-10 20:45:50 main:574] : INFO : Epoch 16 | loss: 0.043802 | val_loss: 0.0428476 | Time: 7542.25 ms [2020-11-10 20:45:57 main:574] : INFO : Epoch 17 | loss: 0.0433764 | val_loss: 0.0420086 | Time: 7231.09 ms [2020-11-10 20:46:05 main:574] : INFO : Epoch 18 | loss: 0.0527947 | val_loss: 0.0542368 | Time: 7155.94 ms [2020-11-10 20:46:12 main:574] : INFO : Epoch 19 | loss: 0.0537904 | val_loss: 0.0529213 | Time: 6957.54 ms [2020-11-10 20:46:19 main:574] : INFO : Epoch 20 | loss: 0.0524507 | val_loss: 0.0522184 | Time: 7255.07 ms [2020-11-10 20:46:26 main:574] : INFO : Epoch 21 | loss: 0.0518563 | val_loss: 0.0511103 | Time: 7079.03 ms [2020-11-10 20:46:33 main:574] : INFO : Epoch 22 | loss: 0.0510207 | val_loss: 0.0501717 | Time: 7376.39 ms [2020-11-10 20:46:41 main:574] : INFO : Epoch 23 | loss: 0.0501975 | val_loss: 0.0498283 | Time: 6986.19 ms [2020-11-10 20:46:47 main:574] : INFO : Epoch 24 | loss: 0.0492374 | val_loss: 0.0481894 | Time: 6602.7 ms [2020-11-10 20:46:54 main:574] : INFO : Epoch 25 | loss: 0.0473419 | val_loss: 0.0473406 | Time: 6977.72 ms [2020-11-10 20:47:02 main:574] : INFO : Epoch 26 | loss: 0.0479499 | val_loss: 0.0480625 | Time: 7391.77 ms [2020-11-10 20:47:09 main:574] : INFO : Epoch 27 | loss: 0.0497727 | val_loss: 0.0518277 | Time: 7153.72 ms [2020-11-10 20:47:16 main:574] : INFO : Epoch 28 | loss: 0.0510696 | val_loss: 0.050045 | Time: 7021.97 ms [2020-11-10 20:47:23 main:574] : INFO : Epoch 29 | loss: 0.0512129 | val_loss: 0.0511398 | Time: 7514.11 ms [2020-11-10 20:47:31 main:574] : INFO : Epoch 30 | loss: 0.0505566 | val_loss: 0.0498291 | Time: 7080.68 ms [2020-11-10 20:47:38 main:574] : INFO : Epoch 31 | loss: 0.0492855 | val_loss: 0.0483011 | Time: 7683 ms [2020-11-10 20:47:45 main:574] : INFO : Epoch 32 | loss: 0.047223 | val_loss: 0.0469691 | Time: 6863.03 ms [2020-11-10 20:47:52 main:574] : INFO : Epoch 33 | loss: 0.0472001 | val_loss: 0.0565031 | Time: 6951.78 ms [2020-11-10 20:48:00 main:574] : INFO : Epoch 34 | loss: 0.0570869 | val_loss: 0.0570205 | Time: 7243.45 ms [2020-11-10 20:48:07 main:574] : INFO : Epoch 35 | loss: 0.0566619 | val_loss: 0.0565622 | Time: 7280.94 ms [2020-11-10 20:48:14 main:574] : INFO : Epoch 36 | loss: 0.0562229 | val_loss: 0.0560891 | Time: 6735.01 ms [2020-11-10 20:48:21 main:574] : INFO : Epoch 37 | loss: 0.0557592 | val_loss: 0.0556066 | Time: 7302.58 ms [2020-11-10 20:48:28 main:574] : INFO : Epoch 38 | loss: 0.055279 | val_loss: 0.055103 | Time: 6731.94 ms [2020-11-10 20:48:35 main:574] : INFO : Epoch 39 | loss: 0.0547644 | val_loss: 0.0545548 | Time: 7292.99 ms [2020-11-10 20:48:42 main:574] : INFO : Epoch 40 | loss: 0.0541715 | val_loss: 0.0539135 | Time: 7228.07 ms [2020-11-10 20:48:50 main:574] : INFO : Epoch 41 | loss: 0.0534332 | val_loss: 0.0532411 | Time: 7261.36 ms [2020-11-10 20:48:57 main:574] : INFO : Epoch 42 | loss: 0.0526369 | val_loss: 0.0523552 | Time: 7014.01 ms [2020-11-10 20:49:04 main:574] : INFO : Epoch 43 | loss: 0.0516902 | val_loss: 0.0513087 | Time: 7156.63 ms [2020-11-10 20:49:11 main:574] : INFO : Epoch 44 | loss: 0.0506017 | val_loss: 0.0501397 | Time: 7401.7 ms [2020-11-10 20:49:19 main:574] : INFO : Epoch 45 | loss: 0.0497294 | val_loss: 0.0493977 | Time: 7155.44 ms [2020-11-10 20:49:26 main:574] : INFO : Epoch 46 | loss: 0.0493769 | val_loss: 0.0507986 | Time: 7104.02 ms [2020-11-10 20:49:33 main:574] : INFO : Epoch 47 | loss: 0.0497497 | val_loss: 0.0488529 | Time: 7141.38 ms [2020-11-10 20:49:40 main:574] : INFO : Epoch 48 | loss: 0.0478497 | val_loss: 0.0468173 | Time: 6901.1 ms [2020-11-10 20:49:47 main:574] : INFO : Epoch 49 | loss: 0.0458085 | val_loss: 0.044786 | Time: 7253.94 ms [2020-11-10 20:49:55 main:574] : INFO : Epoch 50 | loss: 0.0463589 | val_loss: 0.0493701 | Time: 7449.52 ms [2020-11-10 20:50:02 main:574] : INFO : Epoch 51 | loss: 0.0483788 | val_loss: 0.0469441 | Time: 6954.59 ms [2020-11-10 20:50:09 main:574] : INFO : Epoch 52 | loss: 0.0461039 | val_loss: 0.0448602 | Time: 6977.83 ms [2020-11-10 20:50:16 main:574] : INFO : Epoch 53 | loss: 0.0433708 | val_loss: 0.04198 | Time: 7012.84 ms [2020-11-10 20:50:23 main:574] : INFO : Epoch 54 | loss: 0.041257 | val_loss: 0.0413896 | Time: 6932.24 ms [2020-11-10 20:50:30 main:574] : INFO : Epoch 55 | loss: 0.039873 | val_loss: 0.0388396 | Time: 7315.71 ms [2020-11-10 20:50:37 main:574] : INFO : Epoch 56 | loss: 0.045618 | val_loss: 0.0496369 | Time: 7181.29 ms [2020-11-10 20:50:45 main:574] : INFO : Epoch 57 | loss: 0.0487541 | val_loss: 0.0473105 | Time: 7409.68 ms [2020-11-10 20:50:52 main:574] : INFO : Epoch 58 | loss: 0.0457531 | val_loss: 0.0440068 | Time: 7245.25 ms [2020-11-10 20:50:59 main:574] : INFO : Epoch 59 | loss: 0.0416115 | val_loss: 0.0389147 | Time: 6714.5 ms [2020-11-10 20:51:06 main:574] : INFO : Epoch 60 | loss: 0.0451539 | val_loss: 0.0496219 | Time: 7328.15 ms [2020-11-10 20:51:14 main:574] : INFO : Epoch 61 | loss: 0.0479691 | val_loss: 0.0460389 | Time: 7661.78 ms [2020-11-10 20:51:21 main:574] : INFO : Epoch 62 | loss: 0.0441777 | val_loss: 0.042436 | Time: 7209.61 ms [2020-11-10 20:51:28 main:574] : INFO : Epoch 63 | loss: 0.0518576 | val_loss: 0.0551237 | Time: 7145.51 ms [2020-11-10 20:51:35 main:574] : INFO : Epoch 64 | loss: 0.054853 | val_loss: 0.0544456 | Time: 7006.48 ms [2020-11-10 20:51:43 main:574] : INFO : Epoch 65 | loss: 0.0541214 | val_loss: 0.0537921 | Time: 7594.17 ms [2020-11-10 20:51:50 main:574] : INFO : Epoch 66 | loss: 0.0533743 | val_loss: 0.0530711 | Time: 7186.04 ms [2020-11-10 20:51:57 main:574] : INFO : Epoch 67 | loss: 0.0526591 | val_loss: 0.0523152 | Time: 7084.64 ms [2020-11-10 20:52:04 main:574] : INFO : Epoch 68 | loss: 0.0518662 | val_loss: 0.0515687 | Time: 6693.77 ms [2020-11-10 20:52:11 main:574] : INFO : Epoch 69 | loss: 0.0512216 | val_loss: 0.0508908 | Time: 7001.56 ms [2020-11-10 20:52:19 main:574] : INFO : Epoch 70 | loss: 0.050343 | val_loss: 0.0497208 | Time: 7342.58 ms [2020-11-10 20:52:26 main:574] : INFO : Epoch 71 | loss: 0.0496632 | val_loss: 0.0494378 | Time: 7099.14 ms [2020-11-10 20:52:32 main:574] : INFO : Epoch 72 | loss: 0.048665 | val_loss: 0.0479085 | Time: 6608.17 ms [2020-11-10 20:52:40 main:574] : INFO : Epoch 73 | loss: 0.0481544 | val_loss: 0.048565 | Time: 7196.02 ms [2020-11-10 20:52:47 main:574] : INFO : Epoch 74 | loss: 0.0479859 | val_loss: 0.0483082 | Time: 7389.64 ms [2020-11-10 20:52:54 main:574] : INFO : Epoch 75 | loss: 0.0477092 | val_loss: 0.0488627 | Time: 7262.27 ms [2020-11-10 20:53:02 main:574] : INFO : Epoch 76 | loss: 0.0499601 | val_loss: 0.0491248 | Time: 7468.34 ms [2020-11-10 20:53:09 main:574] : INFO : Epoch 77 | loss: 0.0479972 | val_loss: 0.046865 | Time: 6839.76 ms [2020-11-10 20:53:16 main:574] : INFO : Epoch 78 | loss: 0.0453375 | val_loss: 0.0439951 | Time: 6998.82 ms [2020-11-10 20:53:23 main:574] : INFO : Epoch 79 | loss: 0.0429783 | val_loss: 0.0421359 | Time: 7046.89 ms [2020-11-10 20:53:31 main:574] : INFO : Epoch 80 | loss: 0.0537911 | val_loss: 0.0603552 | Time: 7695.53 ms [2020-11-10 20:53:37 main:574] : INFO : Epoch 81 | loss: 0.0595689 | val_loss: 0.0587805 | Time: 6802.47 ms [2020-11-10 20:53:44 main:574] : INFO : Epoch 82 | loss: 0.0573941 | val_loss: 0.0552219 | Time: 6628.58 ms [2020-11-10 20:53:51 main:574] : INFO : Epoch 83 | loss: 0.052293 | val_loss: 0.0498985 | Time: 7024.2 ms [2020-11-10 20:53:58 main:574] : INFO : Epoch 84 | loss: 0.0482184 | val_loss: 0.047496 | Time: 6818.86 ms [2020-11-10 20:54:05 main:574] : INFO : Epoch 85 | loss: 0.0464147 | val_loss: 0.0459073 | Time: 7071.43 ms [2020-11-10 20:54:12 main:574] : INFO : Epoch 86 | loss: 0.0441669 | val_loss: 0.0430544 | Time: 7018.75 ms [2020-11-10 20:54:20 main:574] : INFO : Epoch 87 | loss: 0.0451159 | val_loss: 0.0472258 | Time: 7619.47 ms [2020-11-10 20:54:27 main:574] : INFO : Epoch 88 | loss: 0.0462424 | val_loss: 0.0451341 | Time: 7069.84 ms [2020-11-10 20:54:34 main:574] : INFO : Epoch 89 | loss: 0.0476859 | val_loss: 0.0465673 | Time: 7246.39 ms [2020-11-10 20:54:42 main:574] : INFO : Epoch 90 | loss: 0.0459122 | val_loss: 0.0458262 | Time: 7288.98 ms [2020-11-10 20:54:49 main:574] : INFO : Epoch 91 | loss: 0.0473089 | val_loss: 0.0531462 | Time: 7178.39 ms [2020-11-10 20:54:56 main:574] : INFO : Epoch 92 | loss: 0.0524638 | val_loss: 0.0516393 | Time: 7250.41 ms [2020-11-10 20:55:03 main:574] : INFO : Epoch 93 | loss: 0.050326 | val_loss: 0.0494708 | Time: 6995.49 ms [2020-11-10 20:55:10 main:574] : INFO : Epoch 94 | loss: 0.0523741 | val_loss: 0.0525265 | Time: 6930.12 ms [2020-11-10 20:55:17 main:574] : INFO : Epoch 95 | loss: 0.0522188 | val_loss: 0.0517211 | Time: 6684.55 ms [2020-11-10 20:55:24 main:574] : INFO : Epoch 96 | loss: 0.0509111 | val_loss: 0.0505148 | Time: 6899.67 ms [2020-11-10 20:55:31 main:574] : INFO : Epoch 97 | loss: 0.0494592 | val_loss: 0.0507726 | Time: 6955.25 ms [2020-11-10 20:55:37 main:574] : INFO : Epoch 98 | loss: 0.0514071 | val_loss: 0.0506403 | Time: 6503.1 ms [2020-11-10 20:55:45 main:574] : INFO : Epoch 99 | loss: 0.0500484 | val_loss: 0.0494562 | Time: 7031.56 ms [2020-11-10 20:55:52 main:574] : INFO : Epoch 100 | loss: 0.048389 | val_loss: 0.0490693 | Time: 7109.75 ms [2020-11-10 20:55:59 main:574] : INFO : Epoch 101 | loss: 0.0480957 | val_loss: 0.0480444 | Time: 7121.47 ms [2020-11-10 20:56:06 main:574] : INFO : Epoch 102 | loss: 0.0529238 | val_loss: 0.053697 | Time: 7422.83 ms [2020-11-10 20:56:14 main:574] : INFO : Epoch 103 | loss: 0.0531577 | val_loss: 0.05295 | Time: 7177.95 ms [2020-11-10 20:56:21 main:574] : INFO : Epoch 104 | loss: 0.0523497 | val_loss: 0.0520462 | Time: 6934.58 ms [2020-11-10 20:56:28 main:574] : INFO : Epoch 105 | loss: 0.0514414 | val_loss: 0.0511058 | Time: 7159.81 ms [2020-11-10 20:56:35 main:574] : INFO : Epoch 106 | loss: 0.0502753 | val_loss: 0.0498637 | Time: 7305.4 ms [2020-11-10 20:56:42 main:574] : INFO : Epoch 107 | loss: 0.0489536 | val_loss: 0.0489777 | Time: 7122.31 ms [2020-11-10 20:56:50 main:574] : INFO : Epoch 108 | loss: 0.0485316 | val_loss: 0.0478812 | Time: 7160.34 ms [2020-11-10 20:56:57 main:574] : INFO : Epoch 109 | loss: 0.0464623 | val_loss: 0.0455621 | Time: 7581.49 ms [2020-11-10 20:57:04 main:574] : INFO : Epoch 110 | loss: 0.0464289 | val_loss: 0.0502013 | Time: 7211.23 ms [2020-11-10 20:57:12 main:574] : INFO : Epoch 111 | loss: 0.0491181 | val_loss: 0.0493331 | Time: 7165.53 ms [2020-11-10 20:57:19 main:574] : INFO : Epoch 112 | loss: 0.049394 | val_loss: 0.0499292 | Time: 7254.69 ms [2020-11-10 20:57:26 main:574] : INFO : Epoch 113 | loss: 0.0488953 | val_loss: 0.0482448 | Time: 7182.46 ms [2020-11-10 20:57:34 main:574] : INFO : Epoch 114 | loss: 0.0471766 | val_loss: 0.049521 | Time: 7297.99 ms [2020-11-10 20:57:41 main:574] : INFO : Epoch 115 | loss: 0.0524868 | val_loss: 0.0511588 | Time: 7339.48 ms [2020-11-10 20:57:48 main:574] : INFO : Epoch 116 | loss: 0.0498052 | val_loss: 0.0489534 | Time: 6891.55 ms [2020-11-10 20:57:55 main:574] : INFO : Epoch 117 | loss: 0.0483316 | val_loss: 0.0489537 | Time: 7111.99 ms [2020-11-10 20:58:02 main:574] : INFO : Epoch 118 | loss: 0.0477663 | val_loss: 0.0465144 | Time: 7129.56 ms [2020-11-10 20:58:09 main:574] : INFO : Epoch 119 | loss: 0.0449395 | val_loss: 0.0440485 | Time: 6733.66 ms [2020-11-10 20:58:16 main:574] : INFO : Epoch 120 | loss: 0.0427097 | val_loss: 0.0424824 | Time: 7081.22 ms [2020-11-10 20:58:23 main:574] : INFO : Epoch 121 | loss: 0.0408382 | val_loss: 0.0391977 | Time: 7239.74 ms [2020-11-10 20:58:30 main:574] : INFO : Epoch 122 | loss: 0.0442244 | val_loss: 0.0513871 | Time: 6834.91 ms [2020-11-10 20:58:38 main:574] : INFO : Epoch 123 | loss: 0.0515949 | val_loss: 0.051665 | Time: 7292.33 ms [2020-11-10 20:58:44 main:574] : INFO : Epoch 124 | loss: 0.0509985 | val_loss: 0.049531 | Time: 6786.16 ms [2020-11-10 20:58:52 main:574] : INFO : Epoch 125 | loss: 0.0489976 | val_loss: 0.0484765 | Time: 7180.49 ms [2020-11-10 20:58:59 main:574] : INFO : Epoch 126 | loss: 0.0474814 | val_loss: 0.0460383 | Time: 6937.07 ms [2020-11-10 20:59:06 main:574] : INFO : Epoch 127 | loss: 0.0465187 | val_loss: 0.0474914 | Time: 6982.1 ms [2020-11-10 20:59:13 main:574] : INFO : Epoch 128 | loss: 0.0483692 | val_loss: 0.0490585 | Time: 7468.9 ms [2020-11-10 20:59:21 main:574] : INFO : Epoch 129 | loss: 0.0497324 | val_loss: 0.0506084 | Time: 7380.94 ms [2020-11-10 20:59:28 main:574] : INFO : Epoch 130 | loss: 0.0500607 | val_loss: 0.0494702 | Time: 6826.22 ms [2020-11-10 20:59:35 main:574] : INFO : Epoch 131 | loss: 0.0482557 | val_loss: 0.0469685 | Time: 6951.95 ms [2020-11-10 20:59:41 main:574] : INFO : Epoch 132 | loss: 0.0461136 | val_loss: 0.0457783 | Time: 6831.46 ms [2020-11-10 20:59:49 main:574] : INFO : Epoch 133 | loss: 0.046372 | val_loss: 0.0468821 | Time: 7412.76 ms [2020-11-10 20:59:57 main:574] : INFO : Epoch 134 | loss: 0.0455703 | val_loss: 0.0444733 | Time: 7522.33 ms [2020-11-10 21:00:04 main:574] : INFO : Epoch 135 | loss: 0.04292 | val_loss: 0.0421423 | Time: 6956.36 ms [2020-11-10 21:00:11 main:574] : INFO : Epoch 136 | loss: 0.0489541 | val_loss: 0.052345 | Time: 7105.36 ms [2020-11-10 21:00:18 main:574] : INFO : Epoch 137 | loss: 0.0524713 | val_loss: 0.0534774 | Time: 7243.38 ms [2020-11-10 21:00:25 main:574] : INFO : Epoch 138 | loss: 0.0534111 | val_loss: 0.0528372 | Time: 7109.92 ms [2020-11-10 21:00:32 main:574] : INFO : Epoch 139 | loss: 0.0526488 | val_loss: 0.0521811 | Time: 7182.46 ms [2020-11-10 21:00:40 main:574] : INFO : Epoch 140 | loss: 0.0519195 | val_loss: 0.0515134 | Time: 7277.69 ms [2020-11-10 21:00:47 main:574] : INFO : Epoch 141 | loss: 0.0518598 | val_loss: 0.0523102 | Time: 6980.84 ms [2020-11-10 21:00:54 main:574] : INFO : Epoch 142 | loss: 0.0515734 | val_loss: 0.0514894 | Time: 7169.22 ms [2020-11-10 21:01:01 main:574] : INFO : Epoch 143 | loss: 0.0508854 | val_loss: 0.050447 | Time: 6952.32 ms [2020-11-10 21:01:08 main:574] : INFO : Epoch 144 | loss: 0.0499018 | val_loss: 0.0495423 | Time: 6968.92 ms [2020-11-10 21:01:15 main:574] : INFO : Epoch 145 | loss: 0.0500295 | val_loss: 0.0508955 | Time: 7415.05 ms [2020-11-10 21:01:23 main:574] : INFO : Epoch 146 | loss: 0.0537217 | val_loss: 0.0530502 | Time: 7167.86 ms [2020-11-10 21:01:29 main:574] : INFO : Epoch 147 | loss: 0.0528514 | val_loss: 0.0536308 | Time: 6393.48 ms [2020-11-10 21:01:36 main:574] : INFO : Epoch 148 | loss: 0.0529074 | val_loss: 0.0519777 | Time: 6903.3 ms [2020-11-10 21:01:43 main:574] : INFO : Epoch 149 | loss: 0.0513152 | val_loss: 0.0505577 | Time: 7197.2 ms [2020-11-10 21:01:50 main:574] : INFO : Epoch 150 | loss: 0.0505134 | val_loss: 0.0526654 | Time: 6933.96 ms [2020-11-10 21:01:57 main:574] : INFO : Epoch 151 | loss: 0.0520248 | val_loss: 0.0510859 | Time: 6985.13 ms [2020-11-10 21:02:04 main:574] : INFO : Epoch 152 | loss: 0.0518654 | val_loss: 0.0538822 | Time: 6815.58 ms [2020-11-10 21:02:11 main:574] : INFO : Epoch 153 | loss: 0.0571617 | val_loss: 0.0573967 | Time: 7088.39 ms [2020-11-10 21:02:18 main:574] : INFO : Epoch 154 | loss: 0.0571826 | val_loss: 0.05717 | Time: 6994.58 ms [2020-11-10 21:02:25 main:574] : INFO : Epoch 155 | loss: 0.0569382 | val_loss: 0.0569476 | Time: 7102.76 ms [2020-11-10 21:02:33 main:574] : INFO : Epoch 156 | loss: 0.0567158 | val_loss: 0.0567402 | Time: 7499.38 ms [2020-11-10 21:02:40 main:574] : INFO : Epoch 157 | loss: 0.056478 | val_loss: 0.0564706 | Time: 7135.63 ms [2020-11-10 21:02:47 main:574] : INFO : Epoch 158 | loss: 0.0561851 | val_loss: 0.0561584 | Time: 6917.83 ms [2020-11-10 21:02:54 main:574] : INFO : Epoch 159 | loss: 0.0558983 | val_loss: 0.0558564 | Time: 6845.2 ms [2020-11-10 21:03:01 main:574] : INFO : Epoch 160 | loss: 0.0556047 | val_loss: 0.0555485 | Time: 6887.75 ms [2020-11-10 21:03:08 main:574] : INFO : Epoch 161 | loss: 0.0552287 | val_loss: 0.0553938 | Time: 7255.62 ms [2020-11-10 21:03:15 main:574] : INFO : Epoch 162 | loss: 0.0552499 | val_loss: 0.0551339 | Time: 6831.47 ms [2020-11-10 21:03:22 main:574] : INFO : Epoch 163 | loss: 0.0548788 | val_loss: 0.0547421 | Time: 7217.14 ms [2020-11-10 21:03:29 main:574] : INFO : Epoch 164 | loss: 0.0544457 | val_loss: 0.0542959 | Time: 7043.66 ms [2020-11-10 21:03:37 main:574] : INFO : Epoch 165 | loss: 0.0539942 | val_loss: 0.0538815 | Time: 7254.25 ms [2020-11-10 21:03:44 main:574] : INFO : Epoch 166 | loss: 0.053522 | val_loss: 0.0533635 | Time: 7143.32 ms [2020-11-10 21:03:52 main:574] : INFO : Epoch 167 | loss: 0.0530159 | val_loss: 0.0529449 | Time: 7458.71 ms [2020-11-10 21:03:59 main:574] : INFO : Epoch 168 | loss: 0.052532 | val_loss: 0.052231 | Time: 7271.05 ms [2020-11-10 21:04:06 main:574] : INFO : Epoch 169 | loss: 0.0524393 | val_loss: 0.0528192 | Time: 7249.69 ms [2020-11-10 21:04:13 main:574] : INFO : Epoch 170 | loss: 0.0523361 | val_loss: 0.051905 | Time: 7199.36 ms [2020-11-10 21:04:21 main:574] : INFO : Epoch 171 | loss: 0.0517626 | val_loss: 0.0513332 | Time: 7359.61 ms [2020-11-10 21:04:28 main:574] : INFO : Epoch 172 | loss: 0.0506914 | val_loss: 0.0502968 | Time: 7092.2 ms [2020-11-10 21:04:35 main:574] : INFO : Epoch 173 | loss: 0.0496115 | val_loss: 0.0489748 | Time: 7016.91 ms [2020-11-10 21:04:42 main:574] : INFO : Epoch 174 | loss: 0.0482522 | val_loss: 0.0476094 | Time: 6987.83 ms [2020-11-10 21:04:50 main:574] : INFO : Epoch 175 | loss: 0.0471989 | val_loss: 0.0467985 | Time: 7520.58 ms [2020-11-10 21:04:57 main:574] : INFO : Epoch 176 | loss: 0.0466553 | val_loss: 0.0470532 | Time: 7059.95 ms [2020-11-10 21:05:04 main:574] : INFO : Epoch 177 | loss: 0.0469002 | val_loss: 0.046656 | Time: 7390.5 ms [2020-11-10 21:05:11 main:574] : INFO : Epoch 178 | loss: 0.0476277 | val_loss: 0.0523766 | Time: 7131.8 ms [2020-11-10 21:05:19 main:574] : INFO : Epoch 179 | loss: 0.051821 | val_loss: 0.0509351 | Time: 7358.38 ms [2020-11-10 21:05:26 main:574] : INFO : Epoch 180 | loss: 0.0504201 | val_loss: 0.0494103 | Time: 7681.13 ms [2020-11-10 21:05:34 main:574] : INFO : Epoch 181 | loss: 0.0489381 | val_loss: 0.0498152 | Time: 7236.8 ms [2020-11-10 21:05:41 main:574] : INFO : Epoch 182 | loss: 0.0488361 | val_loss: 0.0476704 | Time: 7249.54 ms [2020-11-10 21:05:48 main:574] : INFO : Epoch 183 | loss: 0.048114 | val_loss: 0.0471491 | Time: 7236.54 ms [2020-11-10 21:05:56 main:574] : INFO : Epoch 184 | loss: 0.0461911 | val_loss: 0.0465589 | Time: 7399.77 ms [2020-11-10 21:06:04 main:574] : INFO : Epoch 185 | loss: 0.0488115 | val_loss: 0.0520664 | Time: 7417.11 ms [2020-11-10 21:06:11 main:574] : INFO : Epoch 186 | loss: 0.0517673 | val_loss: 0.0507672 | Time: 7326.49 ms [2020-11-10 21:06:18 main:574] : INFO : Epoch 187 | loss: 0.0503162 | val_loss: 0.0491462 | Time: 7289.8 ms [2020-11-10 21:06:25 main:574] : INFO : Epoch 188 | loss: 0.048889 | val_loss: 0.0479509 | Time: 6916.72 ms [2020-11-10 21:06:32 main:574] : INFO : Epoch 189 | loss: 0.0472507 | val_loss: 0.0458903 | Time: 6794.69 ms [2020-11-10 21:06:39 main:574] : INFO : Epoch 190 | loss: 0.0476809 | val_loss: 0.0499506 | Time: 7165.46 ms [2020-11-10 21:06:46 main:574] : INFO : Epoch 191 | loss: 0.0518024 | val_loss: 0.0518179 | Time: 7005.2 ms [2020-11-10 21:06:54 main:574] : INFO : Epoch 192 | loss: 0.0505856 | val_loss: 0.0500035 | Time: 7181.71 ms [2020-11-10 21:06:54 main:597] : INFO : Saving trained model to model-final.pt, val_loss 0.0500035 [2020-11-10 21:06:54 main:603] : INFO : Saving end state to config to file [2020-11-10 21:06:54 main:608] : INFO : Success, exiting.. 21:06:54 (20408): 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)