Task 3039847
| Name | rand_automata_0038-1606118052-24584-0_0 |
| Workunit | 1376168 |
| Created | 23 Nov 2020, 7:54:17 UTC |
| Sent | 24 Nov 2020, 3:08:32 UTC |
| Report deadline | 25 Nov 2020, 1:38:32 UTC |
| Received | 24 Nov 2020, 17:39:13 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 4379 |
| Run time | 15 min 42 sec |
| CPU time | 15 min 39 sec |
| Validate state | Valid |
| Credit | 959.40 |
| Device peak FLOPS | 4,493.80 GFLOPS |
| Application version | Machine Learning Dataset Generator (test) v9.80 (cuda10200) x86_64-pc-linux-gnu |
| Peak working set size | 2.19 GB |
| Peak swap size | 10.01 GB |
| Peak disk usage | 2.98 GB |
Stderr output
<core_client_version>7.16.11</core_client_version> <![CDATA[ <stderr_txt> DEBUG: Args: ../../projects/www.mlcathome.org_mlcathome/mlds-gpu_9.80_x86_64-pc-linux-gnu__cuda10200 -a LSTM -w 64 -b 2 -s 32 --lr 0.001 --maxepoch 192 nthreads: 1 gpudev: 0 Re-exec()-ing to set environment correctly Machine Learning Dataset Generator v9.80 (Linux/x86_64) (libTorch: release/1.7 GPU: GeForce GTX 1650 SUPER) [2020-11-24 12:23:21 main:442] : INFO : Set logging level to 1 [2020-11-24 12:23:21 main:448] : INFO : Running in BOINC Client mode [2020-11-24 12:23:21 main:451] : INFO : Resolving all filenames [2020-11-24 12:23:21 main:459] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0038-train-val-dataset.hdf5 (exists = 1) [2020-11-24 12:23:21 main:459] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0038-1606118052-24584-0_0_r169761172_1 (exists = 0) [2020-11-24 12:23:21 main:459] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0038-1606118052-24584-0_0_r169761172_0 (exists = 0) [2020-11-24 12:23:21 main:459] : INFO : Resolved: model-input.pt => model-input.pt (exists = 0) [2020-11-24 12:23:21 main:459] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-24 12:23:21 main:479] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/rand_automata_0038-train-val-dataset.hdf5 [2020-11-24 12:23:21 main:481] : INFO : Configuration: [2020-11-24 12:23:21 main:482] : INFO : Model type: LSTM [2020-11-24 12:23:21 main:483] : INFO : Validation Loss Threshold: 0.0001 [2020-11-24 12:23:21 main:484] : INFO : Max Epochs: 192 [2020-11-24 12:23:21 main:485] : INFO : Batch Size: 32 [2020-11-24 12:23:21 main:486] : INFO : Learning Rate: 0.001 [2020-11-24 12:23:21 main:487] : INFO : Patience: 10 [2020-11-24 12:23:21 main:488] : INFO : Hidden Width: 64 [2020-11-24 12:23:21 main:489] : INFO : # Recurrent Layers: 4 [2020-11-24 12:23:21 main:490] : INFO : # Backend Layers: 2 [2020-11-24 12:23:21 main:491] : INFO : # Threads: 1 [2020-11-24 12:23:21 main:493] : INFO : Preparing Dataset [2020-11-24 12:23:21 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0038-train-val-dataset.hdf5 into memory [2020-11-24 12:23:21 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0038-train-val-dataset.hdf5 into memory [2020-11-24 12:23:23 load:106] : INFO : Successfully loaded dataset of 4096 examples into memory. [2020-11-24 12:23:23 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0038-train-val-dataset.hdf5 into memory [2020-11-24 12:23:23 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0038-train-val-dataset.hdf5 into memory [2020-11-24 12:23:23 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-24 12:23:23 main:501] : INFO : Creating Model [2020-11-24 12:23:23 main:514] : INFO : Preparing config file [2020-11-24 12:23:23 main:526] : INFO : Creating new config file [2020-11-24 12:23:23 main:566] : INFO : Loading DataLoader into Memory [2020-11-24 12:23:23 main:569] : INFO : Starting Training [2020-11-24 12:23:28 main:581] : INFO : Epoch 1 | loss: 0.0662436 | val_loss: 0.0659262 | Time: 5378.89 ms [2020-11-24 12:23:33 main:581] : INFO : Epoch 2 | loss: 0.0649947 | val_loss: 0.0637594 | Time: 4832 ms [2020-11-24 12:23:38 main:581] : INFO : Epoch 3 | loss: 0.0623961 | val_loss: 0.06074 | Time: 4812.22 ms [2020-11-24 12:23:43 main:581] : INFO : Epoch 4 | loss: 0.0592404 | val_loss: 0.057813 | Time: 4821.15 ms [2020-11-24 12:23:48 main:581] : INFO : Epoch 5 | loss: 0.0568559 | val_loss: 0.055897 | Time: 4789.88 ms [2020-11-24 12:23:53 main:581] : INFO : Epoch 6 | loss: 0.0552044 | val_loss: 0.0544492 | Time: 4804.05 ms [2020-11-24 12:23:57 main:581] : INFO : Epoch 7 | loss: 0.0538852 | val_loss: 0.0532636 | Time: 4783.25 ms [2020-11-24 12:24:02 main:581] : INFO : Epoch 8 | loss: 0.0528022 | val_loss: 0.0522499 | Time: 4851.65 ms [2020-11-24 12:24:07 main:581] : INFO : Epoch 9 | loss: 0.0517533 | val_loss: 0.0513927 | Time: 4852.16 ms [2020-11-24 12:24:12 main:581] : INFO : Epoch 10 | loss: 0.0507585 | val_loss: 0.0501868 | Time: 5123.89 ms [2020-11-24 12:24:17 main:581] : INFO : Epoch 11 | loss: 0.0496496 | val_loss: 0.049331 | Time: 5297.66 ms [2020-11-24 12:24:22 main:581] : INFO : Epoch 12 | loss: 0.04851 | val_loss: 0.0481954 | Time: 4791.15 ms [2020-11-24 12:24:27 main:581] : INFO : Epoch 13 | loss: 0.0472436 | val_loss: 0.0468771 | Time: 4798.19 ms [2020-11-24 12:24:32 main:581] : INFO : Epoch 14 | loss: 0.0458678 | val_loss: 0.0456451 | Time: 4808.32 ms [2020-11-24 12:24:37 main:581] : INFO : Epoch 15 | loss: 0.0442362 | val_loss: 0.0438706 | Time: 4813.38 ms [2020-11-24 12:24:41 main:581] : INFO : Epoch 16 | loss: 0.0425504 | val_loss: 0.0425924 | Time: 4816.96 ms [2020-11-24 12:24:46 main:581] : INFO : Epoch 17 | loss: 0.0405306 | val_loss: 0.0404045 | Time: 4825.21 ms [2020-11-24 12:24:51 main:581] : INFO : Epoch 18 | loss: 0.0382329 | val_loss: 0.0382913 | Time: 4811.15 ms [2020-11-24 12:24:56 main:581] : INFO : Epoch 19 | loss: 0.0355896 | val_loss: 0.0355345 | Time: 4864.26 ms [2020-11-24 12:25:01 main:581] : INFO : Epoch 20 | loss: 0.03262 | val_loss: 0.0329522 | Time: 4864.02 ms [2020-11-24 12:25:06 main:581] : INFO : Epoch 21 | loss: 0.0294227 | val_loss: 0.0293869 | Time: 4856.04 ms [2020-11-24 12:25:11 main:581] : INFO : Epoch 22 | loss: 0.0265512 | val_loss: 0.0277091 | Time: 5158.77 ms [2020-11-24 12:25:16 main:581] : INFO : Epoch 23 | loss: 0.0272672 | val_loss: 0.0237886 | Time: 5257.22 ms [2020-11-24 12:25:21 main:581] : INFO : Epoch 24 | loss: 0.0226451 | val_loss: 0.0215887 | Time: 5328.99 ms [2020-11-24 12:25:26 main:581] : INFO : Epoch 25 | loss: 0.0263852 | val_loss: 0.0205459 | Time: 5000.3 ms [2020-11-24 12:25:31 main:581] : INFO : Epoch 26 | loss: 0.0168201 | val_loss: 0.0166543 | Time: 4882.25 ms [2020-11-24 12:25:36 main:581] : INFO : Epoch 27 | loss: 0.022584 | val_loss: 0.0179237 | Time: 4907.83 ms [2020-11-24 12:25:41 main:581] : INFO : Epoch 28 | loss: 0.0137628 | val_loss: 0.013288 | Time: 4837.47 ms [2020-11-24 12:25:46 main:581] : INFO : Epoch 29 | loss: 0.0125216 | val_loss: 0.0123986 | Time: 4873.71 ms [2020-11-24 12:25:51 main:581] : INFO : Epoch 30 | loss: 0.0153062 | val_loss: 0.016802 | Time: 4808.85 ms [2020-11-24 12:25:56 main:581] : INFO : Epoch 31 | loss: 0.0119145 | val_loss: 0.0110751 | Time: 4889 ms [2020-11-24 12:26:01 main:581] : INFO : Epoch 32 | loss: 0.00980555 | val_loss: 0.00984017 | Time: 5186.23 ms [2020-11-24 12:26:06 main:581] : INFO : Epoch 33 | loss: 0.00890929 | val_loss: 0.00912714 | Time: 4857.93 ms [2020-11-24 12:26:10 main:581] : INFO : Epoch 34 | loss: 0.00849583 | val_loss: 0.00855906 | Time: 4817.97 ms [2020-11-24 12:26:15 main:581] : INFO : Epoch 35 | loss: 0.00806506 | val_loss: 0.00827501 | Time: 4872 ms [2020-11-24 12:26:20 main:581] : INFO : Epoch 36 | loss: 0.00775301 | val_loss: 0.00790695 | Time: 4841.71 ms [2020-11-24 12:26:25 main:581] : INFO : Epoch 37 | loss: 0.00736891 | val_loss: 0.00751067 | Time: 4837.78 ms [2020-11-24 12:26:30 main:581] : INFO : Epoch 38 | loss: 0.00731547 | val_loss: 0.00749492 | Time: 4847.99 ms [2020-11-24 12:26:35 main:581] : INFO : Epoch 39 | loss: 0.00681386 | val_loss: 0.00689904 | Time: 4913.07 ms [2020-11-24 12:26:40 main:581] : INFO : Epoch 40 | loss: 0.00649119 | val_loss: 0.00768229 | Time: 4847.56 ms [2020-11-24 12:26:45 main:581] : INFO : Epoch 41 | loss: 0.0069147 | val_loss: 0.00639067 | Time: 4859.24 ms [2020-11-24 12:26:49 main:581] : INFO : Epoch 42 | loss: 0.00602663 | val_loss: 0.00607027 | Time: 4848.16 ms [2020-11-24 12:26:54 main:581] : INFO : Epoch 43 | loss: 0.00577962 | val_loss: 0.00586677 | Time: 4849.18 ms [2020-11-24 12:26:59 main:581] : INFO : Epoch 44 | loss: 0.00557118 | val_loss: 0.00558866 | Time: 4823.75 ms [2020-11-24 12:27:04 main:581] : INFO : Epoch 45 | loss: 0.00533621 | val_loss: 0.00537157 | Time: 4810.82 ms [2020-11-24 12:27:09 main:581] : INFO : Epoch 46 | loss: 0.00512628 | val_loss: 0.00514163 | Time: 4841.15 ms [2020-11-24 12:27:14 main:581] : INFO : Epoch 47 | loss: 0.00492313 | val_loss: 0.00493565 | Time: 4826.21 ms [2020-11-24 12:27:18 main:581] : INFO : Epoch 48 | loss: 0.00480423 | val_loss: 0.00478905 | Time: 4851.78 ms [2020-11-24 12:27:23 main:581] : INFO : Epoch 49 | loss: 0.0045442 | val_loss: 0.00454182 | Time: 4843.43 ms [2020-11-24 12:27:28 main:581] : INFO : Epoch 50 | loss: 0.00435036 | val_loss: 0.00435096 | Time: 4824.55 ms [2020-11-24 12:27:33 main:581] : INFO : Epoch 51 | loss: 0.00417434 | val_loss: 0.00417229 | Time: 5096.18 ms [2020-11-24 12:27:38 main:581] : INFO : Epoch 52 | loss: 0.00401118 | val_loss: 0.00400547 | Time: 4854.9 ms [2020-11-24 12:27:43 main:581] : INFO : Epoch 53 | loss: 0.00383581 | val_loss: 0.00383161 | Time: 4864.04 ms [2020-11-24 12:27:48 main:581] : INFO : Epoch 54 | loss: 0.00367544 | val_loss: 0.00367276 | Time: 4840.01 ms [2020-11-24 12:27:53 main:581] : INFO : Epoch 55 | loss: 0.00351991 | val_loss: 0.00351551 | Time: 4831.5 ms [2020-11-24 12:27:57 main:581] : INFO : Epoch 56 | loss: 0.00337895 | val_loss: 0.00337897 | Time: 4825.81 ms [2020-11-24 12:28:02 main:581] : INFO : Epoch 57 | loss: 0.00323126 | val_loss: 0.0032221 | Time: 4852.05 ms [2020-11-24 12:28:07 main:581] : INFO : Epoch 58 | loss: 0.00309235 | val_loss: 0.00308726 | Time: 4853.77 ms [2020-11-24 12:28:12 main:581] : INFO : Epoch 59 | loss: 0.00296117 | val_loss: 0.00295751 | Time: 4861.15 ms [2020-11-24 12:28:17 main:581] : INFO : Epoch 60 | loss: 0.00283287 | val_loss: 0.00282466 | Time: 4826.75 ms [2020-11-24 12:28:22 main:581] : INFO : Epoch 61 | loss: 0.00271132 | val_loss: 0.00270598 | Time: 4850.72 ms [2020-11-24 12:28:26 main:581] : INFO : Epoch 62 | loss: 0.00259384 | val_loss: 0.00259017 | Time: 4844.62 ms [2020-11-24 12:28:31 main:581] : INFO : Epoch 63 | loss: 0.00248209 | val_loss: 0.00247386 | Time: 4855.6 ms [2020-11-24 12:28:36 main:581] : INFO : Epoch 64 | loss: 0.00237449 | val_loss: 0.00236705 | Time: 4863.84 ms [2020-11-24 12:28:41 main:581] : INFO : Epoch 65 | loss: 0.00226965 | val_loss: 0.00226135 | Time: 4833.46 ms [2020-11-24 12:28:46 main:581] : INFO : Epoch 66 | loss: 0.00217164 | val_loss: 0.00216967 | Time: 4842.66 ms [2020-11-24 12:28:51 main:581] : INFO : Epoch 67 | loss: 0.00207697 | val_loss: 0.0020714 | Time: 4857.18 ms [2020-11-24 12:28:56 main:581] : INFO : Epoch 68 | loss: 0.00198382 | val_loss: 0.00198283 | Time: 4841.43 ms [2020-11-24 12:29:00 main:581] : INFO : Epoch 69 | loss: 0.00189668 | val_loss: 0.00189274 | Time: 4874.78 ms [2020-11-24 12:29:05 main:581] : INFO : Epoch 70 | loss: 0.00181252 | val_loss: 0.00180509 | Time: 4893.49 ms [2020-11-24 12:29:10 main:581] : INFO : Epoch 71 | loss: 0.00173177 | val_loss: 0.00172523 | Time: 4893.5 ms [2020-11-24 12:29:15 main:581] : INFO : Epoch 72 | loss: 0.00165449 | val_loss: 0.00165254 | Time: 4807.78 ms [2020-11-24 12:29:20 main:581] : INFO : Epoch 73 | loss: 0.0015827 | val_loss: 0.00157369 | Time: 4688.98 ms [2020-11-24 12:29:25 main:581] : INFO : Epoch 74 | loss: 0.001509 | val_loss: 0.00150575 | Time: 4859.36 ms [2020-11-24 12:29:29 main:581] : INFO : Epoch 75 | loss: 0.00144112 | val_loss: 0.00143526 | Time: 4828.97 ms [2020-11-24 12:29:34 main:581] : INFO : Epoch 76 | loss: 0.00137694 | val_loss: 0.00137424 | Time: 4862.11 ms [2020-11-24 12:29:39 main:581] : INFO : Epoch 77 | loss: 0.00131564 | val_loss: 0.00131196 | Time: 4869.26 ms [2020-11-24 12:29:44 main:581] : INFO : Epoch 78 | loss: 0.00125505 | val_loss: 0.00125047 | Time: 4880.97 ms [2020-11-24 12:29:49 main:581] : INFO : Epoch 79 | loss: 0.00119864 | val_loss: 0.00119569 | Time: 4873.5 ms [2020-11-24 12:29:54 main:581] : INFO : Epoch 80 | loss: 0.00114394 | val_loss: 0.00114168 | Time: 4867.96 ms [2020-11-24 12:29:59 main:581] : INFO : Epoch 81 | loss: 0.00109325 | val_loss: 0.0010925 | Time: 4880.32 ms [2020-11-24 12:30:04 main:581] : INFO : Epoch 82 | loss: 0.00104331 | val_loss: 0.00103887 | Time: 4906.61 ms [2020-11-24 12:30:08 main:581] : INFO : Epoch 83 | loss: 0.000995417 | val_loss: 0.000995351 | Time: 4903.12 ms [2020-11-24 12:30:13 main:581] : INFO : Epoch 84 | loss: 0.00095057 | val_loss: 0.00094745 | Time: 4854.92 ms [2020-11-24 12:30:18 main:581] : INFO : Epoch 85 | loss: 0.000908475 | val_loss: 0.000908024 | Time: 5055.3 ms [2020-11-24 12:30:23 main:581] : INFO : Epoch 86 | loss: 0.000866329 | val_loss: 0.000863476 | Time: 4880.56 ms [2020-11-24 12:30:28 main:581] : INFO : Epoch 87 | loss: 0.00082751 | val_loss: 0.000826339 | Time: 4864.23 ms [2020-11-24 12:30:33 main:581] : INFO : Epoch 88 | loss: 0.000790436 | val_loss: 0.000792099 | Time: 4824.86 ms [2020-11-24 12:30:38 main:581] : INFO : Epoch 89 | loss: 0.000754464 | val_loss: 0.000750866 | Time: 4827.6 ms [2020-11-24 12:30:43 main:581] : INFO : Epoch 90 | loss: 0.000719445 | val_loss: 0.000718469 | Time: 4834.79 ms [2020-11-24 12:30:47 main:581] : INFO : Epoch 91 | loss: 0.000688785 | val_loss: 0.000686561 | Time: 4816.35 ms [2020-11-24 12:30:52 main:581] : INFO : Epoch 92 | loss: 0.000656554 | val_loss: 0.000652998 | Time: 4827.25 ms [2020-11-24 12:30:57 main:581] : INFO : Epoch 93 | loss: 0.000628132 | val_loss: 0.000626401 | Time: 4824.04 ms [2020-11-24 12:31:02 main:581] : INFO : Epoch 94 | loss: 0.000599483 | val_loss: 0.000598763 | Time: 4819.65 ms [2020-11-24 12:31:07 main:581] : INFO : Epoch 95 | loss: 0.000573149 | val_loss: 0.000575227 | Time: 4821.71 ms [2020-11-24 12:31:11 main:581] : INFO : Epoch 96 | loss: 0.000549081 | val_loss: 0.000547971 | Time: 4799.53 ms [2020-11-24 12:31:16 main:581] : INFO : Epoch 97 | loss: 0.000525846 | val_loss: 0.000526901 | Time: 4802.89 ms [2020-11-24 12:31:21 main:581] : INFO : Epoch 98 | loss: 0.000504242 | val_loss: 0.000506129 | Time: 4814.22 ms [2020-11-24 12:31:26 main:581] : INFO : Epoch 99 | loss: 0.000483863 | val_loss: 0.000486366 | Time: 4863.25 ms [2020-11-24 12:31:31 main:581] : INFO : Epoch 100 | loss: 0.000463794 | val_loss: 0.00046768 | Time: 4817.7 ms [2020-11-24 12:31:36 main:581] : INFO : Epoch 101 | loss: 0.000444543 | val_loss: 0.000445015 | Time: 4801.98 ms [2020-11-24 12:31:40 main:581] : INFO : Epoch 102 | loss: 0.000427153 | val_loss: 0.000429279 | Time: 4849.51 ms [2020-11-24 12:31:45 main:581] : INFO : Epoch 103 | loss: 0.00041 | val_loss: 0.000410553 | Time: 4847.3 ms [2020-11-24 12:31:50 main:581] : INFO : Epoch 104 | loss: 0.000393011 | val_loss: 0.000392517 | Time: 4838.62 ms [2020-11-24 12:31:55 main:581] : INFO : Epoch 105 | loss: 0.000376825 | val_loss: 0.000379983 | Time: 4840.56 ms [2020-11-24 12:32:00 main:581] : INFO : Epoch 106 | loss: 0.00036326 | val_loss: 0.000365007 | Time: 4854.2 ms [2020-11-24 12:32:05 main:581] : INFO : Epoch 107 | loss: 0.000349207 | val_loss: 0.000350349 | Time: 4870.34 ms [2020-11-24 12:32:10 main:581] : INFO : Epoch 108 | loss: 0.000335558 | val_loss: 0.000339118 | Time: 4845.78 ms [2020-11-24 12:32:14 main:581] : INFO : Epoch 109 | loss: 0.00032358 | val_loss: 0.000327138 | Time: 4861.34 ms [2020-11-24 12:32:19 main:581] : INFO : Epoch 110 | loss: 0.000311951 | val_loss: 0.000315006 | Time: 4888.19 ms [2020-11-24 12:32:24 main:581] : INFO : Epoch 111 | loss: 0.000300735 | val_loss: 0.000305236 | Time: 5000.22 ms [2020-11-24 12:32:30 main:581] : INFO : Epoch 112 | loss: 0.000289455 | val_loss: 0.00029092 | Time: 5282.04 ms [2020-11-24 12:32:35 main:581] : INFO : Epoch 113 | loss: 0.000279699 | val_loss: 0.000279319 | Time: 5357.26 ms [2020-11-24 12:32:40 main:581] : INFO : Epoch 114 | loss: 0.000269503 | val_loss: 0.000272214 | Time: 5201.35 ms [2020-11-24 12:32:45 main:581] : INFO : Epoch 115 | loss: 0.000259948 | val_loss: 0.00026122 | Time: 4853.81 ms [2020-11-24 12:32:50 main:581] : INFO : Epoch 116 | loss: 0.000251195 | val_loss: 0.000253607 | Time: 4829.76 ms [2020-11-24 12:32:55 main:581] : INFO : Epoch 117 | loss: 0.000242285 | val_loss: 0.000243897 | Time: 4896.97 ms [2020-11-24 12:33:00 main:581] : INFO : Epoch 118 | loss: 0.000234643 | val_loss: 0.000237969 | Time: 4871.47 ms [2020-11-24 12:33:04 main:581] : INFO : Epoch 119 | loss: 0.000227277 | val_loss: 0.000230871 | Time: 4841.22 ms [2020-11-24 12:33:09 main:581] : INFO : Epoch 120 | loss: 0.000219741 | val_loss: 0.000221811 | Time: 4847.98 ms [2020-11-24 12:33:14 main:581] : INFO : Epoch 121 | loss: 0.000212993 | val_loss: 0.000214438 | Time: 4827.86 ms [2020-11-24 12:33:19 main:581] : INFO : Epoch 122 | loss: 0.000206074 | val_loss: 0.000208374 | Time: 4808.54 ms [2020-11-24 12:33:24 main:581] : INFO : Epoch 123 | loss: 0.00019915 | val_loss: 0.000204648 | Time: 4842.36 ms [2020-11-24 12:33:29 main:581] : INFO : Epoch 124 | loss: 0.000193512 | val_loss: 0.000198046 | Time: 4822.94 ms [2020-11-24 12:33:33 main:581] : INFO : Epoch 125 | loss: 0.000187754 | val_loss: 0.000191369 | Time: 4851.76 ms [2020-11-24 12:33:38 main:581] : INFO : Epoch 126 | loss: 0.000181833 | val_loss: 0.00018522 | Time: 4858.77 ms [2020-11-24 12:33:43 main:581] : INFO : Epoch 127 | loss: 0.000176966 | val_loss: 0.000181503 | Time: 4844.26 ms [2020-11-24 12:33:48 main:581] : INFO : Epoch 128 | loss: 0.000171038 | val_loss: 0.00017601 | Time: 4826.35 ms [2020-11-24 12:33:53 main:581] : INFO : Epoch 129 | loss: 0.000166847 | val_loss: 0.000170635 | Time: 4884.67 ms [2020-11-24 12:33:58 main:581] : INFO : Epoch 130 | loss: 0.000161566 | val_loss: 0.000163385 | Time: 4879.24 ms [2020-11-24 12:34:03 main:581] : INFO : Epoch 131 | loss: 0.000157795 | val_loss: 0.000160276 | Time: 4923.15 ms [2020-11-24 12:34:08 main:581] : INFO : Epoch 132 | loss: 0.000153563 | val_loss: 0.00015612 | Time: 4886.39 ms [2020-11-24 12:34:12 main:581] : INFO : Epoch 133 | loss: 0.000149349 | val_loss: 0.000151201 | Time: 4874.57 ms [2020-11-24 12:34:17 main:581] : INFO : Epoch 134 | loss: 0.000145174 | val_loss: 0.000150571 | Time: 4847.06 ms [2020-11-24 12:34:22 main:581] : INFO : Epoch 135 | loss: 0.000142123 | val_loss: 0.000144703 | Time: 4850.03 ms [2020-11-24 12:34:27 main:581] : INFO : Epoch 136 | loss: 0.000138282 | val_loss: 0.000142685 | Time: 4727.08 ms [2020-11-24 12:34:32 main:581] : INFO : Epoch 137 | loss: 0.000134736 | val_loss: 0.000139905 | Time: 4950.37 ms [2020-11-24 12:34:37 main:581] : INFO : Epoch 138 | loss: 0.000131219 | val_loss: 0.000134099 | Time: 4944.37 ms [2020-11-24 12:34:42 main:581] : INFO : Epoch 139 | loss: 0.000127625 | val_loss: 0.000130352 | Time: 4916.1 ms [2020-11-24 12:34:46 main:581] : INFO : Epoch 140 | loss: 0.000124921 | val_loss: 0.000128549 | Time: 4874.28 ms [2020-11-24 12:34:52 main:581] : INFO : Epoch 141 | loss: 0.000121863 | val_loss: 0.000124349 | Time: 5064.5 ms [2020-11-24 12:34:57 main:581] : INFO : Epoch 142 | loss: 0.000119338 | val_loss: 0.000124146 | Time: 5201.3 ms [2020-11-24 12:35:02 main:581] : INFO : Epoch 143 | loss: 0.000115904 | val_loss: 0.000118087 | Time: 5437.88 ms [2020-11-24 12:35:07 main:581] : INFO : Epoch 144 | loss: 0.000113911 | val_loss: 0.00011649 | Time: 4876.93 ms [2020-11-24 12:35:12 main:581] : INFO : Epoch 145 | loss: 0.000111208 | val_loss: 0.00011473 | Time: 4896.86 ms [2020-11-24 12:35:17 main:581] : INFO : Epoch 146 | loss: 0.000109 | val_loss: 0.000112591 | Time: 4854.49 ms [2020-11-24 12:35:22 main:581] : INFO : Epoch 147 | loss: 0.000106403 | val_loss: 0.000107688 | Time: 4866.25 ms [2020-11-24 12:35:27 main:581] : INFO : Epoch 148 | loss: 0.000104036 | val_loss: 0.000106493 | Time: 4858.92 ms [2020-11-24 12:35:31 main:581] : INFO : Epoch 149 | loss: 0.000101757 | val_loss: 0.000104271 | Time: 4887.41 ms [2020-11-24 12:35:36 main:581] : INFO : Epoch 150 | loss: 9.97291e-05 | val_loss: 0.00010236 | Time: 4863.36 ms [2020-11-24 12:35:41 main:581] : INFO : Epoch 151 | loss: 9.74851e-05 | val_loss: 9.98084e-05 | Time: 4865.82 ms [2020-11-24 12:35:46 main:581] : INFO : Epoch 152 | loss: 9.53217e-05 | val_loss: 9.81636e-05 | Time: 4844.07 ms [2020-11-24 12:35:51 main:581] : INFO : Epoch 153 | loss: 9.41947e-05 | val_loss: 9.46249e-05 | Time: 4879 ms [2020-11-24 12:35:56 main:581] : INFO : Epoch 154 | loss: 9.13889e-05 | val_loss: 9.33361e-05 | Time: 4870.72 ms [2020-11-24 12:36:01 main:581] : INFO : Epoch 155 | loss: 9.02241e-05 | val_loss: 9.29164e-05 | Time: 4876.81 ms [2020-11-24 12:36:05 main:581] : INFO : Epoch 156 | loss: 8.85504e-05 | val_loss: 9.05978e-05 | Time: 4853.32 ms [2020-11-24 12:36:10 main:581] : INFO : Epoch 157 | loss: 8.66432e-05 | val_loss: 8.80841e-05 | Time: 4852.17 ms [2020-11-24 12:36:15 main:581] : INFO : Epoch 158 | loss: 8.49198e-05 | val_loss: 8.68818e-05 | Time: 4856.08 ms [2020-11-24 12:36:20 main:581] : INFO : Epoch 159 | loss: 8.28894e-05 | val_loss: 8.4563e-05 | Time: 4805.04 ms [2020-11-24 12:36:25 main:581] : INFO : Epoch 160 | loss: 8.1801e-05 | val_loss: 8.30502e-05 | Time: 4826.71 ms [2020-11-24 12:36:30 main:581] : INFO : Epoch 161 | loss: 8.05208e-05 | val_loss: 8.31422e-05 | Time: 4862.36 ms [2020-11-24 12:36:35 main:581] : INFO : Epoch 162 | loss: 7.86165e-05 | val_loss: 7.99824e-05 | Time: 4908.25 ms [2020-11-24 12:36:40 main:581] : INFO : Epoch 163 | loss: 7.76398e-05 | val_loss: 7.99552e-05 | Time: 4900.53 ms [2020-11-24 12:36:44 main:581] : INFO : Epoch 164 | loss: 7.64807e-05 | val_loss: 7.89083e-05 | Time: 4883.04 ms [2020-11-24 12:36:49 main:581] : INFO : Epoch 165 | loss: 7.50588e-05 | val_loss: 7.7947e-05 | Time: 4846.71 ms [2020-11-24 12:36:54 main:581] : INFO : Epoch 166 | loss: 7.36487e-05 | val_loss: 7.59114e-05 | Time: 4883.36 ms [2020-11-24 12:36:59 main:581] : INFO : Epoch 167 | loss: 7.20449e-05 | val_loss: 7.43894e-05 | Time: 4885.7 ms [2020-11-24 12:37:04 main:581] : INFO : Epoch 168 | loss: 7.1247e-05 | val_loss: 7.34095e-05 | Time: 4867.93 ms [2020-11-24 12:37:09 main:581] : INFO : Epoch 169 | loss: 7.02076e-05 | val_loss: 7.04536e-05 | Time: 4870.57 ms [2020-11-24 12:37:14 main:581] : INFO : Epoch 170 | loss: 6.95359e-05 | val_loss: 7.15213e-05 | Time: 4902.45 ms [2020-11-24 12:37:19 main:581] : INFO : Epoch 171 | loss: 6.75587e-05 | val_loss: 7.09373e-05 | Time: 4930.73 ms [2020-11-24 12:37:23 main:581] : INFO : Epoch 172 | loss: 6.67057e-05 | val_loss: 6.94844e-05 | Time: 4900.96 ms [2020-11-24 12:37:28 main:581] : INFO : Epoch 173 | loss: 6.5899e-05 | val_loss: 6.89412e-05 | Time: 4937.4 ms [2020-11-24 12:37:33 main:581] : INFO : Epoch 174 | loss: 6.4839e-05 | val_loss: 6.59103e-05 | Time: 4876.63 ms [2020-11-24 12:37:38 main:581] : INFO : Epoch 175 | loss: 6.36445e-05 | val_loss: 6.59148e-05 | Time: 4859.62 ms [2020-11-24 12:37:43 main:581] : INFO : Epoch 176 | loss: 6.28562e-05 | val_loss: 6.415e-05 | Time: 4838.52 ms [2020-11-24 12:37:48 main:581] : INFO : Epoch 177 | loss: 6.1916e-05 | val_loss: 6.33754e-05 | Time: 4872 ms [2020-11-24 12:37:53 main:581] : INFO : Epoch 178 | loss: 6.14146e-05 | val_loss: 6.31803e-05 | Time: 4882.17 ms [2020-11-24 12:37:58 main:581] : INFO : Epoch 179 | loss: 6.01142e-05 | val_loss: 6.21976e-05 | Time: 4843.43 ms [2020-11-24 12:38:02 main:581] : INFO : Epoch 180 | loss: 5.95216e-05 | val_loss: 6.1883e-05 | Time: 4877.45 ms [2020-11-24 12:38:07 main:581] : INFO : Epoch 181 | loss: 5.8642e-05 | val_loss: 6.25937e-05 | Time: 4857.9 ms [2020-11-24 12:38:12 main:581] : INFO : Epoch 182 | loss: 5.8051e-05 | val_loss: 5.90201e-05 | Time: 4884.28 ms [2020-11-24 12:38:17 main:581] : INFO : Epoch 183 | loss: 5.74238e-05 | val_loss: 5.97712e-05 | Time: 4851.94 ms [2020-11-24 12:38:22 main:581] : INFO : Epoch 184 | loss: 5.63573e-05 | val_loss: 5.76403e-05 | Time: 4853.39 ms [2020-11-24 12:38:27 main:581] : INFO : Epoch 185 | loss: 5.59467e-05 | val_loss: 5.70055e-05 | Time: 4896.92 ms [2020-11-24 12:38:32 main:581] : INFO : Epoch 186 | loss: 5.48721e-05 | val_loss: 5.67064e-05 | Time: 4873.93 ms [2020-11-24 12:38:37 main:581] : INFO : Epoch 187 | loss: 5.43399e-05 | val_loss: 5.5748e-05 | Time: 4853.44 ms [2020-11-24 12:38:41 main:581] : INFO : Epoch 188 | loss: 5.32495e-05 | val_loss: 5.54322e-05 | Time: 4888.07 ms [2020-11-24 12:38:46 main:581] : INFO : Epoch 189 | loss: 5.28033e-05 | val_loss: 5.36008e-05 | Time: 4893.33 ms [2020-11-24 12:38:51 main:581] : INFO : Epoch 190 | loss: 5.16827e-05 | val_loss: 5.45621e-05 | Time: 4855.9 ms [2020-11-24 12:38:56 main:581] : INFO : Epoch 191 | loss: 5.15216e-05 | val_loss: 5.39207e-05 | Time: 4841.6 ms [2020-11-24 12:39:01 main:581] : INFO : Epoch 192 | loss: 5.15706e-05 | val_loss: 5.26521e-05 | Time: 4914.06 ms [2020-11-24 12:39:01 main:604] : INFO : Saving trained model to model-final.pt, val_loss 5.26521e-05 [2020-11-24 12:39:01 main:610] : INFO : Saving end state to config to file [2020-11-24 12:39:01 main:615] : INFO : Success, exiting.. 12:39:01 (3016743): 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)