Task 2868272
| Name | rand_automata_0006-1605109697-16529-0_1 |
| Workunit | 1293838 |
| Created | 11 Nov 2020, 15:48:20 UTC |
| Sent | 11 Nov 2020, 20:24:51 UTC |
| Report deadline | 19 Nov 2020, 20:24:51 UTC |
| Received | 13 Nov 2020, 18:34:25 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 2324 |
| Run time | 10 min 37 sec |
| CPU time | 10 min 27 sec |
| Validate state | Valid |
| Credit | 959.40 |
| Device peak FLOPS | 7,051.03 GFLOPS |
| Application version | Machine Learning Dataset Generator (GPU) v9.75 (cuda10200) windows_x86_64 |
| Peak working set size | 1.49 GB |
| Peak swap size | 3.18 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 1070) [2020-11-13 10:23:40 main:435] : INFO : Set logging level to 1 [2020-11-13 10:23:40 main:441] : INFO : Running in BOINC Client mode [2020-11-13 10:23:40 main:444] : INFO : Resolving all filenames [2020-11-13 10:23:40 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0006-train-val-dataset.hdf5 (exists = 1) [2020-11-13 10:23:40 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0006-1605109697-16529-0_1_r586867868_1 (exists = 0) [2020-11-13 10:23:40 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0006-1605109697-16529-0_1_r586867868_0 (exists = 0) [2020-11-13 10:23:40 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 0) [2020-11-13 10:23:40 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-13 10:23:40 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/rand_automata_0006-train-val-dataset.hdf5 [2020-11-13 10:23:40 main:474] : INFO : Configuration: [2020-11-13 10:23:40 main:475] : INFO : Model type: LSTM [2020-11-13 10:23:40 main:476] : INFO : Validation Loss Threshold: 0.0001 [2020-11-13 10:23:40 main:477] : INFO : Max Epochs: 192 [2020-11-13 10:23:40 main:478] : INFO : Batch Size: 32 [2020-11-13 10:23:40 main:479] : INFO : Learning Rate: 0.001 [2020-11-13 10:23:40 main:480] : INFO : Patience: 10 [2020-11-13 10:23:40 main:481] : INFO : Hidden Width: 64 [2020-11-13 10:23:40 main:482] : INFO : # Recurrent Layers: 4 [2020-11-13 10:23:40 main:483] : INFO : # Backend Layers: 2 [2020-11-13 10:23:40 main:484] : INFO : # Threads: 1 [2020-11-13 10:23:40 main:486] : INFO : Preparing Dataset [2020-11-13 10:23:40 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0006-train-val-dataset.hdf5 into memory [2020-11-13 10:23:40 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0006-train-val-dataset.hdf5 into memory [2020-11-13 10:23:42 load:106] : INFO : Successfully loaded dataset of 4096 examples into memory. [2020-11-13 10:23:42 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0006-train-val-dataset.hdf5 into memory [2020-11-13 10:23:42 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0006-train-val-dataset.hdf5 into memory [2020-11-13 10:23:42 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-13 10:23:42 main:494] : INFO : Creating Model [2020-11-13 10:23:42 main:507] : INFO : Preparing config file [2020-11-13 10:23:42 main:519] : INFO : Creating new config file [2020-11-13 10:23:42 main:559] : INFO : Loading DataLoader into Memory [2020-11-13 10:23:42 main:562] : INFO : Starting Training [2020-11-13 10:23:46 main:574] : INFO : Epoch 1 | loss: 0.0663822 | val_loss: 0.0659702 | Time: 3608.02 ms [2020-11-13 10:23:49 main:574] : INFO : Epoch 2 | loss: 0.065917 | val_loss: 0.065476 | Time: 3169.7 ms [2020-11-13 10:23:53 main:574] : INFO : Epoch 3 | loss: 0.0644751 | val_loss: 0.0629268 | Time: 3278.92 ms [2020-11-13 10:23:56 main:574] : INFO : Epoch 4 | loss: 0.0613178 | val_loss: 0.0598024 | Time: 3277.07 ms [2020-11-13 10:23:59 main:574] : INFO : Epoch 5 | loss: 0.0587583 | val_loss: 0.0578217 | Time: 3324.19 ms [2020-11-13 10:24:02 main:574] : INFO : Epoch 6 | loss: 0.0570708 | val_loss: 0.0563853 | Time: 3248.2 ms [2020-11-13 10:24:06 main:574] : INFO : Epoch 7 | loss: 0.055769 | val_loss: 0.0550954 | Time: 3263.96 ms [2020-11-13 10:24:09 main:574] : INFO : Epoch 8 | loss: 0.0545356 | val_loss: 0.0539071 | Time: 3292.19 ms [2020-11-13 10:24:12 main:574] : INFO : Epoch 9 | loss: 0.0533255 | val_loss: 0.0527525 | Time: 3189.63 ms [2020-11-13 10:24:15 main:574] : INFO : Epoch 10 | loss: 0.0519765 | val_loss: 0.0513665 | Time: 3198.12 ms [2020-11-13 10:24:19 main:574] : INFO : Epoch 11 | loss: 0.050571 | val_loss: 0.0501245 | Time: 3188.83 ms [2020-11-13 10:24:22 main:574] : INFO : Epoch 12 | loss: 0.0490627 | val_loss: 0.0483397 | Time: 3141.84 ms [2020-11-13 10:24:25 main:574] : INFO : Epoch 13 | loss: 0.0474464 | val_loss: 0.046708 | Time: 3315.13 ms [2020-11-13 10:24:28 main:574] : INFO : Epoch 14 | loss: 0.0456592 | val_loss: 0.0449866 | Time: 3298.29 ms [2020-11-13 10:24:32 main:574] : INFO : Epoch 15 | loss: 0.0435016 | val_loss: 0.0428767 | Time: 3253.88 ms [2020-11-13 10:24:35 main:574] : INFO : Epoch 16 | loss: 0.0414237 | val_loss: 0.0404283 | Time: 3219.16 ms [2020-11-13 10:24:38 main:574] : INFO : Epoch 17 | loss: 0.0388409 | val_loss: 0.038825 | Time: 3266.81 ms [2020-11-13 10:24:41 main:574] : INFO : Epoch 18 | loss: 0.036347 | val_loss: 0.0365445 | Time: 3275.21 ms [2020-11-13 10:24:45 main:574] : INFO : Epoch 19 | loss: 0.0358426 | val_loss: 0.0357874 | Time: 3246.72 ms [2020-11-13 10:24:48 main:574] : INFO : Epoch 20 | loss: 0.0327827 | val_loss: 0.0331026 | Time: 3293.04 ms [2020-11-13 10:24:51 main:574] : INFO : Epoch 21 | loss: 0.0308613 | val_loss: 0.0311228 | Time: 3215.68 ms [2020-11-13 10:24:55 main:574] : INFO : Epoch 22 | loss: 0.0331892 | val_loss: 0.0536946 | Time: 3295.96 ms [2020-11-13 10:24:58 main:574] : INFO : Epoch 23 | loss: 0.0359456 | val_loss: 0.0309051 | Time: 3318.62 ms [2020-11-13 10:25:01 main:574] : INFO : Epoch 24 | loss: 0.0327807 | val_loss: 0.027702 | Time: 3276.01 ms [2020-11-13 10:25:04 main:574] : INFO : Epoch 25 | loss: 0.0379241 | val_loss: 0.0293542 | Time: 3283.04 ms [2020-11-13 10:25:08 main:574] : INFO : Epoch 26 | loss: 0.0264615 | val_loss: 0.0404773 | Time: 3269.56 ms [2020-11-13 10:25:11 main:574] : INFO : Epoch 27 | loss: 0.0437914 | val_loss: 0.0280603 | Time: 3290.52 ms [2020-11-13 10:25:14 main:574] : INFO : Epoch 28 | loss: 0.0234922 | val_loss: 0.0213466 | Time: 3307.9 ms [2020-11-13 10:25:18 main:574] : INFO : Epoch 29 | loss: 0.0200964 | val_loss: 0.0220223 | Time: 3224.38 ms [2020-11-13 10:25:21 main:574] : INFO : Epoch 30 | loss: 0.0216357 | val_loss: 0.0196297 | Time: 3330.87 ms [2020-11-13 10:25:24 main:574] : INFO : Epoch 31 | loss: 0.0235245 | val_loss: 0.0204779 | Time: 3300.85 ms [2020-11-13 10:25:28 main:574] : INFO : Epoch 32 | loss: 0.0212512 | val_loss: 0.0194718 | Time: 3308.18 ms [2020-11-13 10:25:31 main:574] : INFO : Epoch 33 | loss: 0.0157244 | val_loss: 0.0215815 | Time: 3280.88 ms [2020-11-13 10:25:34 main:574] : INFO : Epoch 34 | loss: 0.0141899 | val_loss: 0.0147193 | Time: 3285.25 ms [2020-11-13 10:25:38 main:574] : INFO : Epoch 35 | loss: 0.0123113 | val_loss: 0.0121994 | Time: 3324.33 ms [2020-11-13 10:25:41 main:574] : INFO : Epoch 36 | loss: 0.0131629 | val_loss: 0.0401284 | Time: 3252.92 ms [2020-11-13 10:25:44 main:574] : INFO : Epoch 37 | loss: 0.0539895 | val_loss: 0.05952 | Time: 3261.62 ms [2020-11-13 10:25:47 main:574] : INFO : Epoch 38 | loss: 0.0581484 | val_loss: 0.0568102 | Time: 3288.43 ms [2020-11-13 10:25:51 main:574] : INFO : Epoch 39 | loss: 0.0551009 | val_loss: 0.0532589 | Time: 3212.2 ms [2020-11-13 10:25:54 main:574] : INFO : Epoch 40 | loss: 0.0505198 | val_loss: 0.047222 | Time: 3245.31 ms [2020-11-13 10:25:57 main:574] : INFO : Epoch 41 | loss: 0.0406592 | val_loss: 0.0340181 | Time: 3285.96 ms [2020-11-13 10:26:00 main:574] : INFO : Epoch 42 | loss: 0.026139 | val_loss: 0.022928 | Time: 3263.18 ms [2020-11-13 10:26:04 main:574] : INFO : Epoch 43 | loss: 0.0211673 | val_loss: 0.0188745 | Time: 3301.85 ms [2020-11-13 10:26:07 main:574] : INFO : Epoch 44 | loss: 0.0157199 | val_loss: 0.0154307 | Time: 3286.8 ms [2020-11-13 10:26:10 main:574] : INFO : Epoch 45 | loss: 0.0128916 | val_loss: 0.0134107 | Time: 3273 ms [2020-11-13 10:26:13 main:574] : INFO : Epoch 46 | loss: 0.0229961 | val_loss: 0.0537479 | Time: 3187.01 ms [2020-11-13 10:26:17 main:574] : INFO : Epoch 47 | loss: 0.0344013 | val_loss: 0.0172567 | Time: 3282.72 ms [2020-11-13 10:26:20 main:574] : INFO : Epoch 48 | loss: 0.0133495 | val_loss: 0.0117984 | Time: 3277.39 ms [2020-11-13 10:26:23 main:574] : INFO : Epoch 49 | loss: 0.0109503 | val_loss: 0.010938 | Time: 3264.23 ms [2020-11-13 10:26:27 main:574] : INFO : Epoch 50 | loss: 0.0103064 | val_loss: 0.010349 | Time: 3274.7 ms [2020-11-13 10:26:30 main:574] : INFO : Epoch 51 | loss: 0.00964806 | val_loss: 0.0100024 | Time: 3271.57 ms [2020-11-13 10:26:33 main:574] : INFO : Epoch 52 | loss: 0.00927866 | val_loss: 0.00936905 | Time: 3298.05 ms [2020-11-13 10:26:37 main:574] : INFO : Epoch 53 | loss: 0.00897264 | val_loss: 0.00924742 | Time: 3270.67 ms [2020-11-13 10:26:40 main:574] : INFO : Epoch 54 | loss: 0.00865921 | val_loss: 0.00881031 | Time: 3251.41 ms [2020-11-13 10:26:43 main:574] : INFO : Epoch 55 | loss: 0.00835059 | val_loss: 0.00852343 | Time: 3240.47 ms [2020-11-13 10:26:46 main:574] : INFO : Epoch 56 | loss: 0.0131246 | val_loss: 0.0102953 | Time: 3257.72 ms [2020-11-13 10:26:50 main:574] : INFO : Epoch 57 | loss: 0.00873255 | val_loss: 0.00859301 | Time: 3308.76 ms [2020-11-13 10:26:53 main:574] : INFO : Epoch 58 | loss: 0.00801858 | val_loss: 0.00799749 | Time: 3243.39 ms [2020-11-13 10:26:56 main:574] : INFO : Epoch 59 | loss: 0.00766909 | val_loss: 0.00772691 | Time: 3274.24 ms [2020-11-13 10:26:59 main:574] : INFO : Epoch 60 | loss: 0.0075175 | val_loss: 0.00750504 | Time: 3287.57 ms [2020-11-13 10:27:03 main:574] : INFO : Epoch 61 | loss: 0.00721923 | val_loss: 0.00728845 | Time: 3260 ms [2020-11-13 10:27:06 main:574] : INFO : Epoch 62 | loss: 0.00702051 | val_loss: 0.00708688 | Time: 3280.76 ms [2020-11-13 10:27:09 main:574] : INFO : Epoch 63 | loss: 0.00683879 | val_loss: 0.0069046 | Time: 3305.77 ms [2020-11-13 10:27:13 main:574] : INFO : Epoch 64 | loss: 0.00665284 | val_loss: 0.00672611 | Time: 3328.9 ms [2020-11-13 10:27:16 main:574] : INFO : Epoch 65 | loss: 0.00647509 | val_loss: 0.00655321 | Time: 3251.08 ms [2020-11-13 10:27:19 main:574] : INFO : Epoch 66 | loss: 0.00630156 | val_loss: 0.00637172 | Time: 3266.18 ms [2020-11-13 10:27:23 main:574] : INFO : Epoch 67 | loss: 0.00613013 | val_loss: 0.00619989 | Time: 3268.84 ms [2020-11-13 10:27:26 main:574] : INFO : Epoch 68 | loss: 0.0059642 | val_loss: 0.00602705 | Time: 3277.54 ms [2020-11-13 10:27:29 main:574] : INFO : Epoch 69 | loss: 0.00579455 | val_loss: 0.00585758 | Time: 3264.48 ms [2020-11-13 10:27:32 main:574] : INFO : Epoch 70 | loss: 0.00563032 | val_loss: 0.00565285 | Time: 3278.31 ms [2020-11-13 10:27:36 main:574] : INFO : Epoch 71 | loss: 0.00546928 | val_loss: 0.00551141 | Time: 3267.17 ms [2020-11-13 10:27:39 main:574] : INFO : Epoch 72 | loss: 0.00530802 | val_loss: 0.00533955 | Time: 3296.78 ms [2020-11-13 10:27:42 main:574] : INFO : Epoch 73 | loss: 0.00514952 | val_loss: 0.00514437 | Time: 3257.05 ms [2020-11-13 10:27:45 main:574] : INFO : Epoch 74 | loss: 0.00499166 | val_loss: 0.00498788 | Time: 3206.44 ms [2020-11-13 10:27:49 main:574] : INFO : Epoch 75 | loss: 0.00483624 | val_loss: 0.00482684 | Time: 3218.99 ms [2020-11-13 10:27:52 main:574] : INFO : Epoch 76 | loss: 0.00468195 | val_loss: 0.00467091 | Time: 3258.34 ms [2020-11-13 10:27:55 main:574] : INFO : Epoch 77 | loss: 0.00453226 | val_loss: 0.0045183 | Time: 3258.42 ms [2020-11-13 10:27:58 main:574] : INFO : Epoch 78 | loss: 0.00438198 | val_loss: 0.00437148 | Time: 3248.78 ms [2020-11-13 10:28:02 main:574] : INFO : Epoch 79 | loss: 0.00424176 | val_loss: 0.00449649 | Time: 3315.98 ms [2020-11-13 10:28:05 main:574] : INFO : Epoch 80 | loss: 0.00413097 | val_loss: 0.00407877 | Time: 3276.97 ms [2020-11-13 10:28:08 main:574] : INFO : Epoch 81 | loss: 0.00395162 | val_loss: 0.00393587 | Time: 3296.98 ms [2020-11-13 10:28:12 main:574] : INFO : Epoch 82 | loss: 0.003812 | val_loss: 0.00379576 | Time: 3294.69 ms [2020-11-13 10:28:15 main:574] : INFO : Epoch 83 | loss: 0.00367553 | val_loss: 0.00366004 | Time: 3273.76 ms [2020-11-13 10:28:18 main:574] : INFO : Epoch 84 | loss: 0.00354298 | val_loss: 0.00352628 | Time: 3291.07 ms [2020-11-13 10:28:22 main:574] : INFO : Epoch 85 | loss: 0.00341288 | val_loss: 0.00339434 | Time: 3234.86 ms [2020-11-13 10:28:25 main:574] : INFO : Epoch 86 | loss: 0.00328628 | val_loss: 0.00326599 | Time: 3288.52 ms [2020-11-13 10:28:28 main:574] : INFO : Epoch 87 | loss: 0.00316297 | val_loss: 0.0031337 | Time: 3278.33 ms [2020-11-13 10:28:31 main:574] : INFO : Epoch 88 | loss: 0.00304314 | val_loss: 0.00301627 | Time: 3257.65 ms [2020-11-13 10:28:35 main:574] : INFO : Epoch 89 | loss: 0.00292649 | val_loss: 0.00289777 | Time: 3279.17 ms [2020-11-13 10:28:38 main:574] : INFO : Epoch 90 | loss: 0.0028137 | val_loss: 0.00278415 | Time: 3267.55 ms [2020-11-13 10:28:41 main:574] : INFO : Epoch 91 | loss: 0.00270435 | val_loss: 0.00267667 | Time: 3258.85 ms [2020-11-13 10:28:45 main:574] : INFO : Epoch 92 | loss: 0.002598 | val_loss: 0.0025724 | Time: 3294.52 ms [2020-11-13 10:28:48 main:574] : INFO : Epoch 93 | loss: 0.00249518 | val_loss: 0.00247133 | Time: 3342.2 ms [2020-11-13 10:28:51 main:574] : INFO : Epoch 94 | loss: 0.00239583 | val_loss: 0.00237085 | Time: 3250.28 ms [2020-11-13 10:28:54 main:574] : INFO : Epoch 95 | loss: 0.0023005 | val_loss: 0.00227301 | Time: 3246.71 ms [2020-11-13 10:28:58 main:574] : INFO : Epoch 96 | loss: 0.00220618 | val_loss: 0.00218258 | Time: 3211.88 ms [2020-11-13 10:29:01 main:574] : INFO : Epoch 97 | loss: 0.0021154 | val_loss: 0.00209149 | Time: 3200.79 ms [2020-11-13 10:29:04 main:574] : INFO : Epoch 98 | loss: 0.00202847 | val_loss: 0.00200425 | Time: 3318.29 ms [2020-11-13 10:29:08 main:574] : INFO : Epoch 99 | loss: 0.00194363 | val_loss: 0.00192164 | Time: 3312.21 ms [2020-11-13 10:29:11 main:574] : INFO : Epoch 100 | loss: 0.00186191 | val_loss: 0.00183861 | Time: 3194.27 ms [2020-11-13 10:29:14 main:574] : INFO : Epoch 101 | loss: 0.00178355 | val_loss: 0.00176198 | Time: 3272.65 ms [2020-11-13 10:29:17 main:574] : INFO : Epoch 102 | loss: 0.00170821 | val_loss: 0.00168851 | Time: 3286.95 ms [2020-11-13 10:29:21 main:574] : INFO : Epoch 103 | loss: 0.00163591 | val_loss: 0.00161397 | Time: 3297.13 ms [2020-11-13 10:29:24 main:574] : INFO : Epoch 104 | loss: 0.0015653 | val_loss: 0.00154602 | Time: 3326.61 ms [2020-11-13 10:29:27 main:574] : INFO : Epoch 105 | loss: 0.00149885 | val_loss: 0.00148271 | Time: 3309.02 ms [2020-11-13 10:29:31 main:574] : INFO : Epoch 106 | loss: 0.00143454 | val_loss: 0.00141751 | Time: 3282.2 ms [2020-11-13 10:29:34 main:574] : INFO : Epoch 107 | loss: 0.00137364 | val_loss: 0.00135749 | Time: 3348.82 ms [2020-11-13 10:29:37 main:574] : INFO : Epoch 108 | loss: 0.00131478 | val_loss: 0.00129944 | Time: 3283.48 ms [2020-11-13 10:29:41 main:574] : INFO : Epoch 109 | loss: 0.0012597 | val_loss: 0.00124394 | Time: 3349.28 ms [2020-11-13 10:29:44 main:574] : INFO : Epoch 110 | loss: 0.00120668 | val_loss: 0.0011911 | Time: 3261.12 ms [2020-11-13 10:29:47 main:574] : INFO : Epoch 111 | loss: 0.00115651 | val_loss: 0.00114428 | Time: 3301.25 ms [2020-11-13 10:29:50 main:574] : INFO : Epoch 112 | loss: 0.00110808 | val_loss: 0.00109483 | Time: 3309.43 ms [2020-11-13 10:29:54 main:574] : INFO : Epoch 113 | loss: 0.00106267 | val_loss: 0.0010501 | Time: 3336.91 ms [2020-11-13 10:29:57 main:574] : INFO : Epoch 114 | loss: 0.00101755 | val_loss: 0.00100649 | Time: 3289.36 ms [2020-11-13 10:30:00 main:574] : INFO : Epoch 115 | loss: 0.000975476 | val_loss: 0.00096519 | Time: 3218.69 ms [2020-11-13 10:30:04 main:574] : INFO : Epoch 116 | loss: 0.000937343 | val_loss: 0.000930775 | Time: 3259.97 ms [2020-11-13 10:30:07 main:574] : INFO : Epoch 117 | loss: 0.000897648 | val_loss: 0.000889231 | Time: 3279.36 ms [2020-11-13 10:30:10 main:574] : INFO : Epoch 118 | loss: 0.000861174 | val_loss: 0.000853142 | Time: 3330.96 ms [2020-11-13 10:30:14 main:574] : INFO : Epoch 119 | loss: 0.000826453 | val_loss: 0.000817806 | Time: 3277.23 ms [2020-11-13 10:30:17 main:574] : INFO : Epoch 120 | loss: 0.000793481 | val_loss: 0.00078597 | Time: 3249.52 ms [2020-11-13 10:30:20 main:574] : INFO : Epoch 121 | loss: 0.000761284 | val_loss: 0.000753334 | Time: 3268.9 ms [2020-11-13 10:30:23 main:574] : INFO : Epoch 122 | loss: 0.00073185 | val_loss: 0.000724924 | Time: 3286.1 ms [2020-11-13 10:30:27 main:574] : INFO : Epoch 123 | loss: 0.000702102 | val_loss: 0.00069606 | Time: 3327.64 ms [2020-11-13 10:30:30 main:574] : INFO : Epoch 124 | loss: 0.000674031 | val_loss: 0.000666435 | Time: 3236.5 ms [2020-11-13 10:30:33 main:574] : INFO : Epoch 125 | loss: 0.000647767 | val_loss: 0.000642705 | Time: 3257.27 ms [2020-11-13 10:30:37 main:574] : INFO : Epoch 126 | loss: 0.000622985 | val_loss: 0.000616179 | Time: 3279.5 ms [2020-11-13 10:30:40 main:574] : INFO : Epoch 127 | loss: 0.000598245 | val_loss: 0.000593407 | Time: 3282.57 ms [2020-11-13 10:30:43 main:574] : INFO : Epoch 128 | loss: 0.00057568 | val_loss: 0.000573196 | Time: 3308.24 ms [2020-11-13 10:30:46 main:574] : INFO : Epoch 129 | loss: 0.000554029 | val_loss: 0.000549286 | Time: 3289.07 ms [2020-11-13 10:30:50 main:574] : INFO : Epoch 130 | loss: 0.000533179 | val_loss: 0.000527162 | Time: 3285.59 ms [2020-11-13 10:30:53 main:574] : INFO : Epoch 131 | loss: 0.000512591 | val_loss: 0.000508458 | Time: 3248.61 ms [2020-11-13 10:30:56 main:574] : INFO : Epoch 132 | loss: 0.000494294 | val_loss: 0.000490099 | Time: 3318.94 ms [2020-11-13 10:31:00 main:574] : INFO : Epoch 133 | loss: 0.00047594 | val_loss: 0.000472635 | Time: 3268.08 ms [2020-11-13 10:31:03 main:574] : INFO : Epoch 134 | loss: 0.000458046 | val_loss: 0.0004544 | Time: 3256.53 ms [2020-11-13 10:31:06 main:574] : INFO : Epoch 135 | loss: 0.000442012 | val_loss: 0.00043912 | Time: 3312.46 ms [2020-11-13 10:31:10 main:574] : INFO : Epoch 136 | loss: 0.000425919 | val_loss: 0.000425732 | Time: 3295.31 ms [2020-11-13 10:31:13 main:574] : INFO : Epoch 137 | loss: 0.00041078 | val_loss: 0.000408825 | Time: 3298.75 ms [2020-11-13 10:31:16 main:574] : INFO : Epoch 138 | loss: 0.000396868 | val_loss: 0.000394009 | Time: 3255.07 ms [2020-11-13 10:31:19 main:574] : INFO : Epoch 139 | loss: 0.00038294 | val_loss: 0.000382242 | Time: 3342.1 ms [2020-11-13 10:31:23 main:574] : INFO : Epoch 140 | loss: 0.000369567 | val_loss: 0.000369575 | Time: 3357.84 ms [2020-11-13 10:31:26 main:574] : INFO : Epoch 141 | loss: 0.000356382 | val_loss: 0.000354858 | Time: 3267.27 ms [2020-11-13 10:31:29 main:574] : INFO : Epoch 142 | loss: 0.000344586 | val_loss: 0.000343057 | Time: 3283.09 ms [2020-11-13 10:31:33 main:574] : INFO : Epoch 143 | loss: 0.000333515 | val_loss: 0.000333006 | Time: 3268.63 ms [2020-11-13 10:31:36 main:574] : INFO : Epoch 144 | loss: 0.000323163 | val_loss: 0.000320829 | Time: 3298.96 ms [2020-11-13 10:31:39 main:574] : INFO : Epoch 145 | loss: 0.000311917 | val_loss: 0.000313358 | Time: 3264.15 ms [2020-11-13 10:31:43 main:574] : INFO : Epoch 146 | loss: 0.000301853 | val_loss: 0.000300891 | Time: 3328.48 ms [2020-11-13 10:31:46 main:574] : INFO : Epoch 147 | loss: 0.000292444 | val_loss: 0.000293543 | Time: 3263.92 ms [2020-11-13 10:31:49 main:574] : INFO : Epoch 148 | loss: 0.000284021 | val_loss: 0.000283128 | Time: 3273.66 ms [2020-11-13 10:31:52 main:574] : INFO : Epoch 149 | loss: 0.000275507 | val_loss: 0.000275325 | Time: 3259.59 ms [2020-11-13 10:31:56 main:574] : INFO : Epoch 150 | loss: 0.000267049 | val_loss: 0.000268087 | Time: 3293.94 ms [2020-11-13 10:31:59 main:574] : INFO : Epoch 151 | loss: 0.000259191 | val_loss: 0.000263774 | Time: 3287.08 ms [2020-11-13 10:32:02 main:574] : INFO : Epoch 152 | loss: 0.0002518 | val_loss: 0.000251809 | Time: 3317.27 ms [2020-11-13 10:32:06 main:574] : INFO : Epoch 153 | loss: 0.00024467 | val_loss: 0.000245191 | Time: 3272.26 ms [2020-11-13 10:32:09 main:574] : INFO : Epoch 154 | loss: 0.000238065 | val_loss: 0.000239603 | Time: 3298.18 ms [2020-11-13 10:32:12 main:574] : INFO : Epoch 155 | loss: 0.00023152 | val_loss: 0.000231928 | Time: 3268.35 ms [2020-11-13 10:32:16 main:574] : INFO : Epoch 156 | loss: 0.000225769 | val_loss: 0.000226925 | Time: 3269.96 ms [2020-11-13 10:32:19 main:574] : INFO : Epoch 157 | loss: 0.000219616 | val_loss: 0.000222057 | Time: 3350.87 ms [2020-11-13 10:32:22 main:574] : INFO : Epoch 158 | loss: 0.000214292 | val_loss: 0.000216124 | Time: 3245.16 ms [2020-11-13 10:32:25 main:574] : INFO : Epoch 159 | loss: 0.000209067 | val_loss: 0.000209434 | Time: 3289.44 ms [2020-11-13 10:32:29 main:574] : INFO : Epoch 160 | loss: 0.000203059 | val_loss: 0.000205269 | Time: 3307.73 ms [2020-11-13 10:32:32 main:574] : INFO : Epoch 161 | loss: 0.000198576 | val_loss: 0.000199039 | Time: 3231.15 ms [2020-11-13 10:32:35 main:574] : INFO : Epoch 162 | loss: 0.000194065 | val_loss: 0.000195189 | Time: 3212.18 ms [2020-11-13 10:32:39 main:574] : INFO : Epoch 163 | loss: 0.000189103 | val_loss: 0.000192378 | Time: 3286.42 ms [2020-11-13 10:32:42 main:574] : INFO : Epoch 164 | loss: 0.000185421 | val_loss: 0.000186699 | Time: 3284.49 ms [2020-11-13 10:32:45 main:574] : INFO : Epoch 165 | loss: 0.000180478 | val_loss: 0.000182908 | Time: 3265.37 ms [2020-11-13 10:32:48 main:574] : INFO : Epoch 166 | loss: 0.000176587 | val_loss: 0.000183771 | Time: 3297.59 ms [2020-11-13 10:32:52 main:574] : INFO : Epoch 167 | loss: 0.000172987 | val_loss: 0.000175318 | Time: 3274.4 ms [2020-11-13 10:32:55 main:574] : INFO : Epoch 168 | loss: 0.000168618 | val_loss: 0.000170701 | Time: 3269.73 ms [2020-11-13 10:32:58 main:574] : INFO : Epoch 169 | loss: 0.000165222 | val_loss: 0.000168213 | Time: 3292.62 ms [2020-11-13 10:33:02 main:574] : INFO : Epoch 170 | loss: 0.000161379 | val_loss: 0.000163084 | Time: 3291.74 ms [2020-11-13 10:33:05 main:574] : INFO : Epoch 171 | loss: 0.000158003 | val_loss: 0.000160537 | Time: 3291.91 ms [2020-11-13 10:33:08 main:574] : INFO : Epoch 172 | loss: 0.000154443 | val_loss: 0.000156474 | Time: 3277.72 ms [2020-11-13 10:33:12 main:574] : INFO : Epoch 173 | loss: 0.000151513 | val_loss: 0.00015342 | Time: 3280.59 ms [2020-11-13 10:33:15 main:574] : INFO : Epoch 174 | loss: 0.000148183 | val_loss: 0.00015071 | Time: 3281.94 ms [2020-11-13 10:33:18 main:574] : INFO : Epoch 175 | loss: 0.000145007 | val_loss: 0.000147554 | Time: 3288.39 ms [2020-11-13 10:33:21 main:574] : INFO : Epoch 176 | loss: 0.000142073 | val_loss: 0.000144212 | Time: 3294.45 ms [2020-11-13 10:33:25 main:574] : INFO : Epoch 177 | loss: 0.000140542 | val_loss: 0.000141039 | Time: 3267.44 ms [2020-11-13 10:33:28 main:574] : INFO : Epoch 178 | loss: 0.00013654 | val_loss: 0.000139421 | Time: 3286.44 ms [2020-11-13 10:33:31 main:574] : INFO : Epoch 179 | loss: 0.000134058 | val_loss: 0.000135649 | Time: 3299.23 ms [2020-11-13 10:33:35 main:574] : INFO : Epoch 180 | loss: 0.00013132 | val_loss: 0.000131658 | Time: 3307.32 ms [2020-11-13 10:33:38 main:574] : INFO : Epoch 181 | loss: 0.000128895 | val_loss: 0.000130675 | Time: 3235.51 ms [2020-11-13 10:33:41 main:574] : INFO : Epoch 182 | loss: 0.000126039 | val_loss: 0.000127502 | Time: 3291.57 ms [2020-11-13 10:33:45 main:574] : INFO : Epoch 183 | loss: 0.000124208 | val_loss: 0.000124806 | Time: 3305.01 ms [2020-11-13 10:33:48 main:574] : INFO : Epoch 184 | loss: 0.000121514 | val_loss: 0.000123803 | Time: 3303.74 ms [2020-11-13 10:33:51 main:574] : INFO : Epoch 185 | loss: 0.000119724 | val_loss: 0.000122779 | Time: 3258.23 ms [2020-11-13 10:33:54 main:574] : INFO : Epoch 186 | loss: 0.000117885 | val_loss: 0.000119971 | Time: 3291.1 ms [2020-11-13 10:33:58 main:574] : INFO : Epoch 187 | loss: 0.000115726 | val_loss: 0.000116779 | Time: 3280.72 ms [2020-11-13 10:34:01 main:574] : INFO : Epoch 188 | loss: 0.000112784 | val_loss: 0.000115631 | Time: 3276.26 ms [2020-11-13 10:34:04 main:574] : INFO : Epoch 189 | loss: 0.000111581 | val_loss: 0.000113349 | Time: 3257.91 ms [2020-11-13 10:34:08 main:574] : INFO : Epoch 190 | loss: 0.000110016 | val_loss: 0.00011171 | Time: 3281.98 ms [2020-11-13 10:34:11 main:574] : INFO : Epoch 191 | loss: 0.000107716 | val_loss: 0.000110188 | Time: 3245.62 ms [2020-11-13 10:34:14 main:574] : INFO : Epoch 192 | loss: 0.000106189 | val_loss: 0.000107796 | Time: 3295.31 ms [2020-11-13 10:34:14 main:597] : INFO : Saving trained model to model-final.pt, val_loss 0.000107796 [2020-11-13 10:34:14 main:603] : INFO : Saving end state to config to file [2020-11-13 10:34:14 main:608] : INFO : Success, exiting.. 10:34:14 (6460): 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)