Task 2824974
| Name | rand_automata_0010-1604983196-28670-0_2 |
| Workunit | 1263696 |
| Created | 10 Nov 2020, 23:31:35 UTC |
| Sent | 10 Nov 2020, 23:39:08 UTC |
| Report deadline | 11 Nov 2020, 22:09:08 UTC |
| Received | 11 Nov 2020, 3:15:29 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 3241 |
| Run time | 29 min 54 sec |
| CPU time | 28 min 37 sec |
| Validate state | Valid |
| Credit | 959.40 |
| Device peak FLOPS | 9,068.06 GFLOPS |
| Application version | Machine Learning Dataset Generator (test) v9.75 (cuda10200) windows_x86_64 |
| Peak working set size | 1.95 GB |
| Peak swap size | 3.92 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 RTX 2070 SUPER) [2020-11-10 18:45:26 main:435] : INFO : Set logging level to 1 [2020-11-10 18:45:26 main:441] : INFO : Running in BOINC Client mode [2020-11-10 18:45:26 main:444] : INFO : Resolving all filenames [2020-11-10 18:45:26 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0010-train-val-dataset.hdf5 (exists = 1) [2020-11-10 18:45:26 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0010-1604983196-28670-0_2_r1834181448_1 (exists = 0) [2020-11-10 18:45:26 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0010-1604983196-28670-0_2_r1834181448_0 (exists = 0) [2020-11-10 18:45:26 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 0) [2020-11-10 18:45:26 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-10 18:45:26 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/rand_automata_0010-train-val-dataset.hdf5 [2020-11-10 18:45:26 main:474] : INFO : Configuration: [2020-11-10 18:45:26 main:475] : INFO : Model type: LSTM [2020-11-10 18:45:26 main:476] : INFO : Validation Loss Threshold: 0.0001 [2020-11-10 18:45:26 main:477] : INFO : Max Epochs: 192 [2020-11-10 18:45:26 main:478] : INFO : Batch Size: 32 [2020-11-10 18:45:26 main:479] : INFO : Learning Rate: 0.001 [2020-11-10 18:45:26 main:480] : INFO : Patience: 10 [2020-11-10 18:45:26 main:481] : INFO : Hidden Width: 64 [2020-11-10 18:45:26 main:482] : INFO : # Recurrent Layers: 4 [2020-11-10 18:45:26 main:483] : INFO : # Backend Layers: 2 [2020-11-10 18:45:26 main:484] : INFO : # Threads: 1 [2020-11-10 18:45:26 main:486] : INFO : Preparing Dataset [2020-11-10 18:45:26 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0010-train-val-dataset.hdf5 into memory [2020-11-10 18:45:26 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0010-train-val-dataset.hdf5 into memory [2020-11-10 18:45:27 load:106] : INFO : Successfully loaded dataset of 4096 examples into memory. [2020-11-10 18:45:27 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0010-train-val-dataset.hdf5 into memory [2020-11-10 18:45:27 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0010-train-val-dataset.hdf5 into memory [2020-11-10 18:45:27 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-10 18:45:27 main:494] : INFO : Creating Model [2020-11-10 18:45:27 main:507] : INFO : Preparing config file [2020-11-10 18:45:27 main:519] : INFO : Creating new config file [2020-11-10 18:45:28 main:559] : INFO : Loading DataLoader into Memory [2020-11-10 18:45:28 main:562] : INFO : Starting Training [2020-11-10 18:45:38 main:574] : INFO : Epoch 1 | loss: 0.066275 | val_loss: 0.0660282 | Time: 9705.88 ms [2020-11-10 18:45:47 main:574] : INFO : Epoch 2 | loss: 0.0646291 | val_loss: 0.0629888 | Time: 8990.17 ms [2020-11-10 18:45:56 main:574] : INFO : Epoch 3 | loss: 0.0614317 | val_loss: 0.0599475 | Time: 9246.47 ms [2020-11-10 18:46:05 main:574] : INFO : Epoch 4 | loss: 0.0588183 | val_loss: 0.0578187 | Time: 9201.31 ms [2020-11-10 18:46:14 main:574] : INFO : Epoch 5 | loss: 0.0568443 | val_loss: 0.0560509 | Time: 9128.35 ms [2020-11-10 18:46:24 main:574] : INFO : Epoch 6 | loss: 0.0554564 | val_loss: 0.0548752 | Time: 9090.79 ms [2020-11-10 18:46:33 main:574] : INFO : Epoch 7 | loss: 0.0542803 | val_loss: 0.0538246 | Time: 8994.66 ms [2020-11-10 18:46:41 main:574] : INFO : Epoch 8 | loss: 0.0532578 | val_loss: 0.0528761 | Time: 8667.87 ms [2020-11-10 18:46:50 main:574] : INFO : Epoch 9 | loss: 0.0522461 | val_loss: 0.0519363 | Time: 8984.9 ms [2020-11-10 18:46:59 main:574] : INFO : Epoch 10 | loss: 0.0512299 | val_loss: 0.0508928 | Time: 8746 ms [2020-11-10 18:47:08 main:574] : INFO : Epoch 11 | loss: 0.0501139 | val_loss: 0.0497929 | Time: 8731.85 ms [2020-11-10 18:47:16 main:574] : INFO : Epoch 12 | loss: 0.0488954 | val_loss: 0.0485913 | Time: 8738.82 ms [2020-11-10 18:47:25 main:574] : INFO : Epoch 13 | loss: 0.047493 | val_loss: 0.047219 | Time: 8711.78 ms [2020-11-10 18:47:34 main:574] : INFO : Epoch 14 | loss: 0.0458786 | val_loss: 0.0458143 | Time: 8920.98 ms [2020-11-10 18:47:43 main:574] : INFO : Epoch 15 | loss: 0.0439298 | val_loss: 0.0439142 | Time: 9125.92 ms [2020-11-10 18:47:53 main:574] : INFO : Epoch 16 | loss: 0.0415426 | val_loss: 0.0413217 | Time: 9712.2 ms [2020-11-10 18:48:02 main:574] : INFO : Epoch 17 | loss: 0.0388169 | val_loss: 0.0389049 | Time: 9474.02 ms [2020-11-10 18:48:12 main:574] : INFO : Epoch 18 | loss: 0.0352261 | val_loss: 0.0347269 | Time: 9204.12 ms [2020-11-10 18:48:21 main:574] : INFO : Epoch 19 | loss: 0.0315975 | val_loss: 0.0307414 | Time: 9422.07 ms [2020-11-10 18:48:30 main:574] : INFO : Epoch 20 | loss: 0.0296896 | val_loss: 0.0290946 | Time: 9154.45 ms [2020-11-10 18:48:40 main:574] : INFO : Epoch 21 | loss: 0.0263671 | val_loss: 0.0259056 | Time: 9422.13 ms [2020-11-10 18:48:49 main:574] : INFO : Epoch 22 | loss: 0.023379 | val_loss: 0.022674 | Time: 9155.4 ms [2020-11-10 18:48:58 main:574] : INFO : Epoch 23 | loss: 0.0180258 | val_loss: 0.0314828 | Time: 9041.19 ms [2020-11-10 18:49:07 main:574] : INFO : Epoch 24 | loss: 0.0171542 | val_loss: 0.0147025 | Time: 9530.43 ms [2020-11-10 18:49:16 main:574] : INFO : Epoch 25 | loss: 0.0191824 | val_loss: 0.0139704 | Time: 9046.4 ms [2020-11-10 18:49:26 main:574] : INFO : Epoch 26 | loss: 0.0161125 | val_loss: 0.0120224 | Time: 9022.1 ms [2020-11-10 18:49:35 main:574] : INFO : Epoch 27 | loss: 0.0111219 | val_loss: 0.0110665 | Time: 9152.96 ms [2020-11-10 18:49:44 main:574] : INFO : Epoch 28 | loss: 0.0116995 | val_loss: 0.0104234 | Time: 9269.02 ms [2020-11-10 18:49:53 main:574] : INFO : Epoch 29 | loss: 0.0105445 | val_loss: 0.00990648 | Time: 9333.82 ms [2020-11-10 18:50:03 main:574] : INFO : Epoch 30 | loss: 0.00942652 | val_loss: 0.0106615 | Time: 9287.34 ms [2020-11-10 18:50:12 main:574] : INFO : Epoch 31 | loss: 0.0360779 | val_loss: 0.0556476 | Time: 9461.27 ms [2020-11-10 18:50:21 main:574] : INFO : Epoch 32 | loss: 0.0475972 | val_loss: 0.0328684 | Time: 9429.69 ms [2020-11-10 18:50:31 main:574] : INFO : Epoch 33 | loss: 0.0186534 | val_loss: 0.0118315 | Time: 9139.61 ms [2020-11-10 18:50:40 main:574] : INFO : Epoch 34 | loss: 0.0200733 | val_loss: 0.0496445 | Time: 9001.8 ms [2020-11-10 18:50:49 main:574] : INFO : Epoch 35 | loss: 0.0229227 | val_loss: 0.0123634 | Time: 9199.41 ms [2020-11-10 18:50:58 main:574] : INFO : Epoch 36 | loss: 0.0120714 | val_loss: 0.0103674 | Time: 9272.44 ms [2020-11-10 18:51:07 main:574] : INFO : Epoch 37 | loss: 0.00951061 | val_loss: 0.00945331 | Time: 9078.99 ms [2020-11-10 18:51:17 main:574] : INFO : Epoch 38 | loss: 0.00889863 | val_loss: 0.00893062 | Time: 9332.9 ms [2020-11-10 18:51:26 main:574] : INFO : Epoch 39 | loss: 0.00850657 | val_loss: 0.00853798 | Time: 9416.65 ms [2020-11-10 18:51:36 main:574] : INFO : Epoch 40 | loss: 0.00818572 | val_loss: 0.00837443 | Time: 9618.56 ms [2020-11-10 18:51:45 main:574] : INFO : Epoch 41 | loss: 0.00790817 | val_loss: 0.00796486 | Time: 9385.4 ms [2020-11-10 18:51:54 main:574] : INFO : Epoch 42 | loss: 0.0076584 | val_loss: 0.00772325 | Time: 9294.49 ms [2020-11-10 18:52:04 main:574] : INFO : Epoch 43 | loss: 0.00743602 | val_loss: 0.00750502 | Time: 9196.11 ms [2020-11-10 18:52:13 main:574] : INFO : Epoch 44 | loss: 0.00722998 | val_loss: 0.00729322 | Time: 9469.78 ms [2020-11-10 18:52:22 main:574] : INFO : Epoch 45 | loss: 0.0070337 | val_loss: 0.00710018 | Time: 9168.94 ms [2020-11-10 18:52:31 main:574] : INFO : Epoch 46 | loss: 0.00684608 | val_loss: 0.00690521 | Time: 8998.38 ms [2020-11-10 18:52:40 main:574] : INFO : Epoch 47 | loss: 0.00666542 | val_loss: 0.00672486 | Time: 8930.94 ms [2020-11-10 18:52:50 main:574] : INFO : Epoch 48 | loss: 0.00648965 | val_loss: 0.00654429 | Time: 9512.05 ms [2020-11-10 18:52:59 main:574] : INFO : Epoch 49 | loss: 0.00631778 | val_loss: 0.00637829 | Time: 9017.76 ms [2020-11-10 18:53:08 main:574] : INFO : Epoch 50 | loss: 0.00614983 | val_loss: 0.00620082 | Time: 9053.79 ms [2020-11-10 18:53:17 main:574] : INFO : Epoch 51 | loss: 0.00598528 | val_loss: 0.00603845 | Time: 9001.43 ms [2020-11-10 18:53:26 main:574] : INFO : Epoch 52 | loss: 0.00582238 | val_loss: 0.00584883 | Time: 8859.97 ms [2020-11-10 18:53:35 main:574] : INFO : Epoch 53 | loss: 0.00566166 | val_loss: 0.00568644 | Time: 9136.29 ms [2020-11-10 18:53:44 main:574] : INFO : Epoch 54 | loss: 0.00550359 | val_loss: 0.00552501 | Time: 9269.8 ms [2020-11-10 18:53:53 main:574] : INFO : Epoch 55 | loss: 0.00534931 | val_loss: 0.00536846 | Time: 9131.29 ms [2020-11-10 18:54:02 main:574] : INFO : Epoch 56 | loss: 0.00519535 | val_loss: 0.00521123 | Time: 9174.04 ms [2020-11-10 18:54:12 main:574] : INFO : Epoch 57 | loss: 0.00504312 | val_loss: 0.0050551 | Time: 9218.47 ms [2020-11-10 18:54:21 main:574] : INFO : Epoch 58 | loss: 0.00489556 | val_loss: 0.00490615 | Time: 9188.9 ms [2020-11-10 18:54:30 main:574] : INFO : Epoch 59 | loss: 0.00474742 | val_loss: 0.00475255 | Time: 9117.54 ms [2020-11-10 18:54:39 main:574] : INFO : Epoch 60 | loss: 0.00460283 | val_loss: 0.0046082 | Time: 8869.56 ms [2020-11-10 18:54:48 main:574] : INFO : Epoch 61 | loss: 0.00445968 | val_loss: 0.00446113 | Time: 9056.78 ms [2020-11-10 18:54:57 main:574] : INFO : Epoch 62 | loss: 0.00431889 | val_loss: 0.00431813 | Time: 9447.03 ms [2020-11-10 18:55:06 main:574] : INFO : Epoch 63 | loss: 0.00418121 | val_loss: 0.0041786 | Time: 9043.7 ms [2020-11-10 18:55:16 main:574] : INFO : Epoch 64 | loss: 0.00404579 | val_loss: 0.00404022 | Time: 9432.2 ms [2020-11-10 18:55:25 main:574] : INFO : Epoch 65 | loss: 0.0039135 | val_loss: 0.00390485 | Time: 9273.68 ms [2020-11-10 18:55:34 main:574] : INFO : Epoch 66 | loss: 0.00378367 | val_loss: 0.00377295 | Time: 9065.59 ms [2020-11-10 18:55:43 main:574] : INFO : Epoch 67 | loss: 0.00365545 | val_loss: 0.00364652 | Time: 9066.29 ms [2020-11-10 18:55:53 main:574] : INFO : Epoch 68 | loss: 0.00353194 | val_loss: 0.00352019 | Time: 9257.1 ms [2020-11-10 18:56:02 main:574] : INFO : Epoch 69 | loss: 0.00341006 | val_loss: 0.00339683 | Time: 9252.91 ms [2020-11-10 18:56:11 main:574] : INFO : Epoch 70 | loss: 0.00329147 | val_loss: 0.00327711 | Time: 9190.69 ms [2020-11-10 18:56:20 main:574] : INFO : Epoch 71 | loss: 0.0031756 | val_loss: 0.00316221 | Time: 9065.74 ms [2020-11-10 18:56:29 main:574] : INFO : Epoch 72 | loss: 0.00306317 | val_loss: 0.00304825 | Time: 9053.61 ms [2020-11-10 18:56:39 main:574] : INFO : Epoch 73 | loss: 0.00295372 | val_loss: 0.00293826 | Time: 9390.46 ms [2020-11-10 18:56:48 main:574] : INFO : Epoch 74 | loss: 0.0028477 | val_loss: 0.00283175 | Time: 9287.78 ms [2020-11-10 18:56:57 main:574] : INFO : Epoch 75 | loss: 0.00274355 | val_loss: 0.00272685 | Time: 9117.63 ms [2020-11-10 18:57:06 main:574] : INFO : Epoch 76 | loss: 0.0026436 | val_loss: 0.00263105 | Time: 9009.67 ms [2020-11-10 18:57:15 main:574] : INFO : Epoch 77 | loss: 0.00254477 | val_loss: 0.00253071 | Time: 9258.93 ms [2020-11-10 18:57:24 main:574] : INFO : Epoch 78 | loss: 0.00245151 | val_loss: 0.00243446 | Time: 9169.27 ms [2020-11-10 18:57:34 main:574] : INFO : Epoch 79 | loss: 0.00235854 | val_loss: 0.00234642 | Time: 9183.7 ms [2020-11-10 18:57:43 main:574] : INFO : Epoch 80 | loss: 0.00226991 | val_loss: 0.00225678 | Time: 9149.54 ms [2020-11-10 18:57:52 main:574] : INFO : Epoch 81 | loss: 0.00218493 | val_loss: 0.00217253 | Time: 9279.12 ms [2020-11-10 18:58:01 main:574] : INFO : Epoch 82 | loss: 0.00210142 | val_loss: 0.00208721 | Time: 9338.12 ms [2020-11-10 18:58:11 main:574] : INFO : Epoch 83 | loss: 0.00201989 | val_loss: 0.00200822 | Time: 9493.11 ms [2020-11-10 18:58:20 main:574] : INFO : Epoch 84 | loss: 0.00194278 | val_loss: 0.00193197 | Time: 9525.66 ms [2020-11-10 18:58:30 main:574] : INFO : Epoch 85 | loss: 0.00186778 | val_loss: 0.00185439 | Time: 9714.69 ms [2020-11-10 18:58:40 main:574] : INFO : Epoch 86 | loss: 0.00179642 | val_loss: 0.00178564 | Time: 9515.76 ms [2020-11-10 18:58:49 main:574] : INFO : Epoch 87 | loss: 0.00172556 | val_loss: 0.0017143 | Time: 9479.43 ms [2020-11-10 18:58:58 main:574] : INFO : Epoch 88 | loss: 0.00165922 | val_loss: 0.00165332 | Time: 9221.38 ms [2020-11-10 18:59:07 main:574] : INFO : Epoch 89 | loss: 0.00159356 | val_loss: 0.00158564 | Time: 8931.09 ms [2020-11-10 18:59:17 main:574] : INFO : Epoch 90 | loss: 0.00153188 | val_loss: 0.00152508 | Time: 9274.73 ms [2020-11-10 18:59:26 main:574] : INFO : Epoch 91 | loss: 0.001471 | val_loss: 0.00145934 | Time: 9158.53 ms [2020-11-10 18:59:35 main:574] : INFO : Epoch 92 | loss: 0.00141344 | val_loss: 0.00140714 | Time: 9014.98 ms [2020-11-10 18:59:44 main:574] : INFO : Epoch 93 | loss: 0.001357 | val_loss: 0.00134989 | Time: 8864.61 ms [2020-11-10 18:59:53 main:574] : INFO : Epoch 94 | loss: 0.00130311 | val_loss: 0.00129669 | Time: 9134.89 ms [2020-11-10 19:00:02 main:574] : INFO : Epoch 95 | loss: 0.0012515 | val_loss: 0.00124338 | Time: 9514.42 ms [2020-11-10 19:00:12 main:574] : INFO : Epoch 96 | loss: 0.00120299 | val_loss: 0.00119717 | Time: 9268.09 ms [2020-11-10 19:00:21 main:574] : INFO : Epoch 97 | loss: 0.00115491 | val_loss: 0.001149 | Time: 9298.21 ms [2020-11-10 19:00:30 main:574] : INFO : Epoch 98 | loss: 0.00111003 | val_loss: 0.00110405 | Time: 9075.42 ms [2020-11-10 19:00:39 main:574] : INFO : Epoch 99 | loss: 0.00106657 | val_loss: 0.00106716 | Time: 9142.64 ms [2020-11-10 19:00:49 main:574] : INFO : Epoch 100 | loss: 0.00102445 | val_loss: 0.00101962 | Time: 9336.36 ms [2020-11-10 19:00:58 main:574] : INFO : Epoch 101 | loss: 0.000984649 | val_loss: 0.0009805 | Time: 9383.21 ms [2020-11-10 19:01:07 main:574] : INFO : Epoch 102 | loss: 0.000946059 | val_loss: 0.000941822 | Time: 9166.45 ms [2020-11-10 19:01:16 main:574] : INFO : Epoch 103 | loss: 0.000909942 | val_loss: 0.000906647 | Time: 9359.22 ms [2020-11-10 19:01:26 main:574] : INFO : Epoch 104 | loss: 0.000873771 | val_loss: 0.000870744 | Time: 9606.37 ms [2020-11-10 19:01:36 main:574] : INFO : Epoch 105 | loss: 0.000840833 | val_loss: 0.00083775 | Time: 9568.91 ms [2020-11-10 19:01:45 main:574] : INFO : Epoch 106 | loss: 0.000808763 | val_loss: 0.000807306 | Time: 9294.85 ms [2020-11-10 19:01:54 main:574] : INFO : Epoch 107 | loss: 0.000778808 | val_loss: 0.000774013 | Time: 9274.95 ms [2020-11-10 19:02:04 main:574] : INFO : Epoch 108 | loss: 0.000749788 | val_loss: 0.000745573 | Time: 9300.39 ms [2020-11-10 19:02:13 main:574] : INFO : Epoch 109 | loss: 0.000721455 | val_loss: 0.000722003 | Time: 9327.27 ms [2020-11-10 19:02:22 main:574] : INFO : Epoch 110 | loss: 0.000695082 | val_loss: 0.000693255 | Time: 9266.67 ms [2020-11-10 19:02:31 main:574] : INFO : Epoch 111 | loss: 0.000669949 | val_loss: 0.000670799 | Time: 9278.77 ms [2020-11-10 19:02:41 main:574] : INFO : Epoch 112 | loss: 0.000647097 | val_loss: 0.000645931 | Time: 9168.43 ms [2020-11-10 19:02:50 main:574] : INFO : Epoch 113 | loss: 0.000623947 | val_loss: 0.000620759 | Time: 9359.2 ms [2020-11-10 19:02:59 main:574] : INFO : Epoch 114 | loss: 0.000601876 | val_loss: 0.000601543 | Time: 9308.62 ms [2020-11-10 19:03:09 main:574] : INFO : Epoch 115 | loss: 0.000581213 | val_loss: 0.000579152 | Time: 9223.26 ms [2020-11-10 19:03:18 main:574] : INFO : Epoch 116 | loss: 0.000561803 | val_loss: 0.000560616 | Time: 9312.77 ms [2020-11-10 19:03:27 main:574] : INFO : Epoch 117 | loss: 0.000543407 | val_loss: 0.000542846 | Time: 9235.08 ms [2020-11-10 19:03:36 main:574] : INFO : Epoch 118 | loss: 0.00052555 | val_loss: 0.000525532 | Time: 9119.74 ms [2020-11-10 19:03:46 main:574] : INFO : Epoch 119 | loss: 0.000508849 | val_loss: 0.000507383 | Time: 9335.65 ms [2020-11-10 19:03:55 main:574] : INFO : Epoch 120 | loss: 0.000493146 | val_loss: 0.000492285 | Time: 8947.93 ms [2020-11-10 19:04:04 main:574] : INFO : Epoch 121 | loss: 0.000477496 | val_loss: 0.000476004 | Time: 9095.47 ms [2020-11-10 19:04:13 main:574] : INFO : Epoch 122 | loss: 0.000462968 | val_loss: 0.000461952 | Time: 8985.98 ms [2020-11-10 19:04:22 main:574] : INFO : Epoch 123 | loss: 0.000448358 | val_loss: 0.000446368 | Time: 9258.02 ms [2020-11-10 19:04:31 main:574] : INFO : Epoch 124 | loss: 0.000435304 | val_loss: 0.000435082 | Time: 9478.91 ms [2020-11-10 19:04:41 main:574] : INFO : Epoch 125 | loss: 0.000422004 | val_loss: 0.000421619 | Time: 9630.23 ms [2020-11-10 19:04:50 main:574] : INFO : Epoch 126 | loss: 0.000410324 | val_loss: 0.00041006 | Time: 9413.13 ms [2020-11-10 19:05:00 main:574] : INFO : Epoch 127 | loss: 0.000398702 | val_loss: 0.000397214 | Time: 9351.67 ms [2020-11-10 19:05:09 main:574] : INFO : Epoch 128 | loss: 0.000385336 | val_loss: 0.000383405 | Time: 9185.93 ms [2020-11-10 19:05:19 main:574] : INFO : Epoch 129 | loss: 0.000371831 | val_loss: 0.000375107 | Time: 9473.12 ms [2020-11-10 19:05:28 main:574] : INFO : Epoch 130 | loss: 0.000361262 | val_loss: 0.000362009 | Time: 9385.83 ms [2020-11-10 19:05:37 main:574] : INFO : Epoch 131 | loss: 0.000351476 | val_loss: 0.000354442 | Time: 9241.18 ms [2020-11-10 19:05:47 main:574] : INFO : Epoch 132 | loss: 0.000341893 | val_loss: 0.00034224 | Time: 9338 ms [2020-11-10 19:05:56 main:574] : INFO : Epoch 133 | loss: 0.000333311 | val_loss: 0.000332719 | Time: 9338.86 ms [2020-11-10 19:06:05 main:574] : INFO : Epoch 134 | loss: 0.00032472 | val_loss: 0.000329076 | Time: 9176.49 ms [2020-11-10 19:06:15 main:574] : INFO : Epoch 135 | loss: 0.000315289 | val_loss: 0.000315715 | Time: 9512.3 ms [2020-11-10 19:06:24 main:574] : INFO : Epoch 136 | loss: 0.000306332 | val_loss: 0.000306019 | Time: 9389.07 ms [2020-11-10 19:06:33 main:574] : INFO : Epoch 137 | loss: 0.00029776 | val_loss: 0.000299894 | Time: 9303.79 ms [2020-11-10 19:06:43 main:574] : INFO : Epoch 138 | loss: 0.000291678 | val_loss: 0.000294365 | Time: 9241.56 ms [2020-11-10 19:06:52 main:574] : INFO : Epoch 139 | loss: 0.000284615 | val_loss: 0.000287994 | Time: 9449.63 ms [2020-11-10 19:07:01 main:574] : INFO : Epoch 140 | loss: 0.000278566 | val_loss: 0.000278598 | Time: 9351 ms [2020-11-10 19:07:11 main:574] : INFO : Epoch 141 | loss: 0.000272377 | val_loss: 0.000273272 | Time: 9479.26 ms [2020-11-10 19:07:20 main:574] : INFO : Epoch 142 | loss: 0.000265415 | val_loss: 0.000266626 | Time: 9239.98 ms [2020-11-10 19:07:29 main:574] : INFO : Epoch 143 | loss: 0.000260347 | val_loss: 0.000261422 | Time: 9140.59 ms [2020-11-10 19:07:39 main:574] : INFO : Epoch 144 | loss: 0.000254428 | val_loss: 0.000255451 | Time: 9379.76 ms [2020-11-10 19:07:48 main:574] : INFO : Epoch 145 | loss: 0.000248468 | val_loss: 0.000249698 | Time: 9315.58 ms [2020-11-10 19:07:57 main:574] : INFO : Epoch 146 | loss: 0.000243617 | val_loss: 0.000244804 | Time: 9226.14 ms [2020-11-10 19:08:07 main:574] : INFO : Epoch 147 | loss: 0.000238542 | val_loss: 0.000240663 | Time: 9358.57 ms [2020-11-10 19:08:16 main:574] : INFO : Epoch 148 | loss: 0.000234079 | val_loss: 0.000234531 | Time: 9334.46 ms [2020-11-10 19:08:25 main:574] : INFO : Epoch 149 | loss: 0.000229213 | val_loss: 0.000230609 | Time: 9258.02 ms [2020-11-10 19:08:35 main:574] : INFO : Epoch 150 | loss: 0.000225076 | val_loss: 0.000226286 | Time: 9391.39 ms [2020-11-10 19:08:44 main:574] : INFO : Epoch 151 | loss: 0.000220548 | val_loss: 0.000220645 | Time: 9183.34 ms [2020-11-10 19:08:53 main:574] : INFO : Epoch 152 | loss: 0.0002163 | val_loss: 0.000219228 | Time: 9453.39 ms [2020-11-10 19:09:03 main:574] : INFO : Epoch 153 | loss: 0.000212344 | val_loss: 0.000213522 | Time: 9244.87 ms [2020-11-10 19:09:12 main:574] : INFO : Epoch 154 | loss: 0.000208368 | val_loss: 0.000209906 | Time: 9552.02 ms [2020-11-10 19:09:22 main:574] : INFO : Epoch 155 | loss: 0.000204996 | val_loss: 0.000207754 | Time: 9567.19 ms [2020-11-10 19:09:31 main:574] : INFO : Epoch 156 | loss: 0.000200705 | val_loss: 0.000202607 | Time: 9406.19 ms [2020-11-10 19:09:41 main:574] : INFO : Epoch 157 | loss: 0.000197149 | val_loss: 0.000198459 | Time: 9454.88 ms [2020-11-10 19:09:50 main:574] : INFO : Epoch 158 | loss: 0.000194012 | val_loss: 0.000195554 | Time: 9236.58 ms [2020-11-10 19:09:59 main:574] : INFO : Epoch 159 | loss: 0.000190924 | val_loss: 0.000191821 | Time: 9436.21 ms [2020-11-10 19:10:09 main:574] : INFO : Epoch 160 | loss: 0.000186861 | val_loss: 0.000189124 | Time: 9323.43 ms [2020-11-10 19:10:18 main:574] : INFO : Epoch 161 | loss: 0.000183725 | val_loss: 0.000184481 | Time: 9231.01 ms [2020-11-10 19:10:27 main:574] : INFO : Epoch 162 | loss: 0.000181127 | val_loss: 0.000183486 | Time: 9524.15 ms [2020-11-10 19:10:37 main:574] : INFO : Epoch 163 | loss: 0.000178094 | val_loss: 0.000180149 | Time: 9456.53 ms [2020-11-10 19:10:46 main:574] : INFO : Epoch 164 | loss: 0.000174836 | val_loss: 0.000176685 | Time: 9213.22 ms [2020-11-10 19:10:55 main:574] : INFO : Epoch 165 | loss: 0.000172289 | val_loss: 0.000173344 | Time: 9422.05 ms [2020-11-10 19:11:05 main:574] : INFO : Epoch 166 | loss: 0.000169918 | val_loss: 0.0001723 | Time: 9363.55 ms [2020-11-10 19:11:14 main:574] : INFO : Epoch 167 | loss: 0.000167087 | val_loss: 0.000168489 | Time: 9432.2 ms [2020-11-10 19:11:24 main:574] : INFO : Epoch 168 | loss: 0.000164051 | val_loss: 0.000165465 | Time: 9618.95 ms [2020-11-10 19:11:33 main:574] : INFO : Epoch 169 | loss: 0.000161785 | val_loss: 0.000162778 | Time: 9331.72 ms [2020-11-10 19:11:43 main:574] : INFO : Epoch 170 | loss: 0.000159799 | val_loss: 0.000160485 | Time: 9273.57 ms [2020-11-10 19:11:52 main:574] : INFO : Epoch 171 | loss: 0.000156767 | val_loss: 0.000158574 | Time: 9323.28 ms [2020-11-10 19:12:01 main:574] : INFO : Epoch 172 | loss: 0.00015455 | val_loss: 0.000155186 | Time: 9433.2 ms [2020-11-10 19:12:11 main:574] : INFO : Epoch 173 | loss: 0.000151883 | val_loss: 0.000154908 | Time: 9471.77 ms [2020-11-10 19:12:21 main:574] : INFO : Epoch 174 | loss: 0.000150233 | val_loss: 0.000151131 | Time: 10321.2 ms [2020-11-10 19:12:32 main:574] : INFO : Epoch 175 | loss: 0.000147483 | val_loss: 0.0001494 | Time: 10397.8 ms [2020-11-10 19:12:41 main:574] : INFO : Epoch 176 | loss: 0.000145656 | val_loss: 0.000146776 | Time: 9774.57 ms [2020-11-10 19:12:51 main:574] : INFO : Epoch 177 | loss: 0.000143555 | val_loss: 0.000145816 | Time: 9849.39 ms [2020-11-10 19:13:01 main:574] : INFO : Epoch 178 | loss: 0.000141337 | val_loss: 0.000141843 | Time: 9899.21 ms [2020-11-10 19:13:11 main:574] : INFO : Epoch 179 | loss: 0.000139393 | val_loss: 0.000142734 | Time: 9436.16 ms [2020-11-10 19:13:20 main:574] : INFO : Epoch 180 | loss: 0.000137393 | val_loss: 0.000139684 | Time: 9895.04 ms [2020-11-10 19:13:30 main:574] : INFO : Epoch 181 | loss: 0.000135751 | val_loss: 0.000136614 | Time: 9791.31 ms [2020-11-10 19:13:41 main:574] : INFO : Epoch 182 | loss: 0.000134 | val_loss: 0.000134474 | Time: 10364.9 ms [2020-11-10 19:13:51 main:574] : INFO : Epoch 183 | loss: 0.000131884 | val_loss: 0.000133945 | Time: 9979.6 ms [2020-11-10 19:14:01 main:574] : INFO : Epoch 184 | loss: 0.000130099 | val_loss: 0.000131523 | Time: 9904.88 ms [2020-11-10 19:14:10 main:574] : INFO : Epoch 185 | loss: 0.000128244 | val_loss: 0.000129405 | Time: 9470.99 ms [2020-11-10 19:14:20 main:574] : INFO : Epoch 186 | loss: 0.000126651 | val_loss: 0.000129288 | Time: 9817.53 ms [2020-11-10 19:14:30 main:574] : INFO : Epoch 187 | loss: 0.000124863 | val_loss: 0.000126697 | Time: 9839.59 ms [2020-11-10 19:14:40 main:574] : INFO : Epoch 188 | loss: 0.00012357 | val_loss: 0.000125072 | Time: 9866.41 ms [2020-11-10 19:14:49 main:574] : INFO : Epoch 189 | loss: 0.000121572 | val_loss: 0.000124479 | Time: 9919.33 ms [2020-11-10 19:14:59 main:574] : INFO : Epoch 190 | loss: 0.000120133 | val_loss: 0.000123468 | Time: 9653.03 ms [2020-11-10 19:15:09 main:574] : INFO : Epoch 191 | loss: 0.000118543 | val_loss: 0.000118908 | Time: 9627.92 ms [2020-11-10 19:15:18 main:574] : INFO : Epoch 192 | loss: 0.000117154 | val_loss: 0.000118018 | Time: 9509.82 ms [2020-11-10 19:15:18 main:597] : INFO : Saving trained model to model-final.pt, val_loss 0.000118018 [2020-11-10 19:15:18 main:603] : INFO : Saving end state to config to file [2020-11-10 19:15:18 main:608] : INFO : Success, exiting.. 19:15:18 (13048): 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)