Task 2868268
| Name | rand_automata_0005-1605109696-16486-0_1 |
| Workunit | 1293836 |
| Created | 11 Nov 2020, 15:48:20 UTC |
| Sent | 12 Nov 2020, 11:48:18 UTC |
| Report deadline | 20 Nov 2020, 11:48:18 UTC |
| Received | 12 Nov 2020, 13:22:17 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 3472 |
| Run time | 9 min 34 sec |
| CPU time | 9 min 10 sec |
| Validate state | Valid |
| Credit | 959.40 |
| Device peak FLOPS | 4,377.82 GFLOPS |
| Application version | Machine Learning Dataset Generator (GPU) v9.75 (cuda10200) windows_x86_64 |
| Peak working set size | 1.50 GB |
| Peak swap size | 3.16 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 1060 6GB) [2020-11-12 13:37:43 main:435] : INFO : Set logging level to 1 [2020-11-12 13:37:43 main:441] : INFO : Running in BOINC Client mode [2020-11-12 13:37:43 main:444] : INFO : Resolving all filenames [2020-11-12 13:37:43 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0005-train-val-dataset.hdf5 (exists = 1) [2020-11-12 13:37:43 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0005-1605109696-16486-0_1_r2069425877_1 (exists = 0) [2020-11-12 13:37:43 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0005-1605109696-16486-0_1_r2069425877_0 (exists = 0) [2020-11-12 13:37:43 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 0) [2020-11-12 13:37:43 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-12 13:37:43 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/rand_automata_0005-train-val-dataset.hdf5 [2020-11-12 13:37:43 main:474] : INFO : Configuration: [2020-11-12 13:37:43 main:475] : INFO : Model type: LSTM [2020-11-12 13:37:43 main:476] : INFO : Validation Loss Threshold: 0.0001 [2020-11-12 13:37:43 main:477] : INFO : Max Epochs: 192 [2020-11-12 13:37:43 main:478] : INFO : Batch Size: 32 [2020-11-12 13:37:43 main:479] : INFO : Learning Rate: 0.001 [2020-11-12 13:37:43 main:480] : INFO : Patience: 10 [2020-11-12 13:37:43 main:481] : INFO : Hidden Width: 64 [2020-11-12 13:37:43 main:482] : INFO : # Recurrent Layers: 4 [2020-11-12 13:37:43 main:483] : INFO : # Backend Layers: 2 [2020-11-12 13:37:43 main:484] : INFO : # Threads: 1 [2020-11-12 13:37:43 main:486] : INFO : Preparing Dataset [2020-11-12 13:37:43 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0005-train-val-dataset.hdf5 into memory [2020-11-12 13:37:43 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0005-train-val-dataset.hdf5 into memory [2020-11-12 13:37:45 load:106] : INFO : Successfully loaded dataset of 4096 examples into memory. [2020-11-12 13:37:45 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0005-train-val-dataset.hdf5 into memory [2020-11-12 13:37:45 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0005-train-val-dataset.hdf5 into memory [2020-11-12 13:37:45 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-12 13:37:45 main:494] : INFO : Creating Model [2020-11-12 13:37:45 main:507] : INFO : Preparing config file [2020-11-12 13:37:45 main:519] : INFO : Creating new config file [2020-11-12 13:37:46 main:559] : INFO : Loading DataLoader into Memory [2020-11-12 13:37:46 main:562] : INFO : Starting Training [2020-11-12 13:37:49 main:574] : INFO : Epoch 1 | loss: 0.0663223 | val_loss: 0.0660899 | Time: 3235.56 ms [2020-11-12 13:37:52 main:574] : INFO : Epoch 2 | loss: 0.0645571 | val_loss: 0.0630024 | Time: 2928.23 ms [2020-11-12 13:37:55 main:574] : INFO : Epoch 3 | loss: 0.0616412 | val_loss: 0.0603516 | Time: 2907.58 ms [2020-11-12 13:37:58 main:574] : INFO : Epoch 4 | loss: 0.0592622 | val_loss: 0.0582306 | Time: 2889.8 ms [2020-11-12 13:38:01 main:574] : INFO : Epoch 5 | loss: 0.0574295 | val_loss: 0.0567306 | Time: 2878.91 ms [2020-11-12 13:38:03 main:574] : INFO : Epoch 6 | loss: 0.0560827 | val_loss: 0.0555826 | Time: 2888.54 ms [2020-11-12 13:38:06 main:574] : INFO : Epoch 7 | loss: 0.0549417 | val_loss: 0.0544619 | Time: 2938.25 ms [2020-11-12 13:38:09 main:574] : INFO : Epoch 8 | loss: 0.0538463 | val_loss: 0.0533012 | Time: 2904.52 ms [2020-11-12 13:38:12 main:574] : INFO : Epoch 9 | loss: 0.0527843 | val_loss: 0.0522732 | Time: 2920.7 ms [2020-11-12 13:38:15 main:574] : INFO : Epoch 10 | loss: 0.0515554 | val_loss: 0.0508595 | Time: 2916.94 ms [2020-11-12 13:38:18 main:574] : INFO : Epoch 11 | loss: 0.0502606 | val_loss: 0.0496442 | Time: 2968.89 ms [2020-11-12 13:38:21 main:574] : INFO : Epoch 12 | loss: 0.0488514 | val_loss: 0.0481904 | Time: 2906.6 ms [2020-11-12 13:38:24 main:574] : INFO : Epoch 13 | loss: 0.0473171 | val_loss: 0.0469656 | Time: 2928.38 ms [2020-11-12 13:38:27 main:574] : INFO : Epoch 14 | loss: 0.0454485 | val_loss: 0.0451655 | Time: 2933.94 ms [2020-11-12 13:38:30 main:574] : INFO : Epoch 15 | loss: 0.0433442 | val_loss: 0.0430752 | Time: 2947.5 ms [2020-11-12 13:38:33 main:574] : INFO : Epoch 16 | loss: 0.0408883 | val_loss: 0.040607 | Time: 2924.67 ms [2020-11-12 13:38:36 main:574] : INFO : Epoch 17 | loss: 0.0380743 | val_loss: 0.0377557 | Time: 2931.75 ms [2020-11-12 13:38:39 main:574] : INFO : Epoch 18 | loss: 0.0349894 | val_loss: 0.0343359 | Time: 2958.93 ms [2020-11-12 13:38:42 main:574] : INFO : Epoch 19 | loss: 0.031721 | val_loss: 0.0314874 | Time: 2930.69 ms [2020-11-12 13:38:45 main:574] : INFO : Epoch 20 | loss: 0.0289007 | val_loss: 0.0316777 | Time: 2927.64 ms [2020-11-12 13:38:48 main:574] : INFO : Epoch 21 | loss: 0.0285968 | val_loss: 0.0270552 | Time: 2924.29 ms [2020-11-12 13:38:51 main:574] : INFO : Epoch 22 | loss: 0.0291651 | val_loss: 0.0241269 | Time: 2937.6 ms [2020-11-12 13:38:54 main:574] : INFO : Epoch 23 | loss: 0.0245134 | val_loss: 0.0284841 | Time: 2917.57 ms [2020-11-12 13:38:56 main:574] : INFO : Epoch 24 | loss: 0.0220808 | val_loss: 0.0216273 | Time: 2924.62 ms [2020-11-12 13:38:59 main:574] : INFO : Epoch 25 | loss: 0.0221536 | val_loss: 0.0251822 | Time: 2916.12 ms [2020-11-12 13:39:02 main:574] : INFO : Epoch 26 | loss: 0.0226171 | val_loss: 0.0277071 | Time: 2931.16 ms [2020-11-12 13:39:05 main:574] : INFO : Epoch 27 | loss: 0.017369 | val_loss: 0.0153454 | Time: 2911.32 ms [2020-11-12 13:39:08 main:574] : INFO : Epoch 28 | loss: 0.0132378 | val_loss: 0.0116751 | Time: 2938.9 ms [2020-11-12 13:39:11 main:574] : INFO : Epoch 29 | loss: 0.0191768 | val_loss: 0.0188849 | Time: 2936.42 ms [2020-11-12 13:39:14 main:574] : INFO : Epoch 30 | loss: 0.0181971 | val_loss: 0.0126361 | Time: 2940.08 ms [2020-11-12 13:39:17 main:574] : INFO : Epoch 31 | loss: 0.01102 | val_loss: 0.0105967 | Time: 2924.12 ms [2020-11-12 13:39:20 main:574] : INFO : Epoch 32 | loss: 0.0101406 | val_loss: 0.0128358 | Time: 2940.9 ms [2020-11-12 13:39:23 main:574] : INFO : Epoch 33 | loss: 0.0238247 | val_loss: 0.0115326 | Time: 2947.7 ms [2020-11-12 13:39:26 main:574] : INFO : Epoch 34 | loss: 0.0100104 | val_loss: 0.00937866 | Time: 2909.06 ms [2020-11-12 13:39:29 main:574] : INFO : Epoch 35 | loss: 0.00906521 | val_loss: 0.00944821 | Time: 2936.33 ms [2020-11-12 13:39:32 main:574] : INFO : Epoch 36 | loss: 0.00864099 | val_loss: 0.00860757 | Time: 2911.6 ms [2020-11-12 13:39:35 main:574] : INFO : Epoch 37 | loss: 0.00817182 | val_loss: 0.00805504 | Time: 2959.58 ms [2020-11-12 13:39:38 main:574] : INFO : Epoch 38 | loss: 0.00782639 | val_loss: 0.00779102 | Time: 2920.18 ms [2020-11-12 13:39:41 main:574] : INFO : Epoch 39 | loss: 0.00756588 | val_loss: 0.0075357 | Time: 3041.53 ms [2020-11-12 13:39:44 main:574] : INFO : Epoch 40 | loss: 0.00733591 | val_loss: 0.00729099 | Time: 2935.28 ms [2020-11-12 13:39:47 main:574] : INFO : Epoch 41 | loss: 0.00714426 | val_loss: 0.00715772 | Time: 2921.65 ms [2020-11-12 13:39:50 main:574] : INFO : Epoch 42 | loss: 0.007042 | val_loss: 0.00686628 | Time: 2912.04 ms [2020-11-12 13:39:52 main:574] : INFO : Epoch 43 | loss: 0.00670401 | val_loss: 0.00666518 | Time: 2929.57 ms [2020-11-12 13:39:55 main:574] : INFO : Epoch 44 | loss: 0.00650614 | val_loss: 0.00646007 | Time: 2918.1 ms [2020-11-12 13:39:58 main:574] : INFO : Epoch 45 | loss: 0.00630845 | val_loss: 0.00626954 | Time: 2947.97 ms [2020-11-12 13:40:01 main:574] : INFO : Epoch 46 | loss: 0.00799382 | val_loss: 0.0215508 | Time: 2931.07 ms [2020-11-12 13:40:04 main:574] : INFO : Epoch 47 | loss: 0.00866709 | val_loss: 0.00629545 | Time: 2917.02 ms [2020-11-12 13:40:07 main:574] : INFO : Epoch 48 | loss: 0.00605069 | val_loss: 0.00591466 | Time: 2926.52 ms [2020-11-12 13:40:10 main:574] : INFO : Epoch 49 | loss: 0.0057558 | val_loss: 0.00568454 | Time: 2914.01 ms [2020-11-12 13:40:13 main:574] : INFO : Epoch 50 | loss: 0.00554925 | val_loss: 0.0054965 | Time: 2938.94 ms [2020-11-12 13:40:16 main:574] : INFO : Epoch 51 | loss: 0.00540103 | val_loss: 0.00535344 | Time: 2927.27 ms [2020-11-12 13:40:19 main:574] : INFO : Epoch 52 | loss: 0.00520834 | val_loss: 0.00515572 | Time: 2945.59 ms [2020-11-12 13:40:22 main:574] : INFO : Epoch 53 | loss: 0.00504334 | val_loss: 0.00499736 | Time: 2927.01 ms [2020-11-12 13:40:25 main:574] : INFO : Epoch 54 | loss: 0.00488833 | val_loss: 0.00486058 | Time: 2929.93 ms [2020-11-12 13:40:28 main:574] : INFO : Epoch 55 | loss: 0.00473612 | val_loss: 0.00468692 | Time: 2930.5 ms [2020-11-12 13:40:31 main:574] : INFO : Epoch 56 | loss: 0.00458693 | val_loss: 0.0045451 | Time: 2931.88 ms [2020-11-12 13:40:34 main:574] : INFO : Epoch 57 | loss: 0.00444032 | val_loss: 0.00438661 | Time: 2924.66 ms [2020-11-12 13:40:37 main:574] : INFO : Epoch 58 | loss: 0.00429738 | val_loss: 0.00424505 | Time: 2916.54 ms [2020-11-12 13:40:40 main:574] : INFO : Epoch 59 | loss: 0.00415784 | val_loss: 0.00412481 | Time: 2907.47 ms [2020-11-12 13:40:42 main:574] : INFO : Epoch 60 | loss: 0.00401899 | val_loss: 0.00396862 | Time: 2915.04 ms [2020-11-12 13:40:45 main:574] : INFO : Epoch 61 | loss: 0.00388364 | val_loss: 0.00384067 | Time: 2927.14 ms [2020-11-12 13:40:48 main:574] : INFO : Epoch 62 | loss: 0.00375131 | val_loss: 0.00369697 | Time: 2907.83 ms [2020-11-12 13:40:51 main:574] : INFO : Epoch 63 | loss: 0.00362138 | val_loss: 0.00355772 | Time: 2942.88 ms [2020-11-12 13:40:54 main:574] : INFO : Epoch 64 | loss: 0.00349486 | val_loss: 0.00342873 | Time: 2910.72 ms [2020-11-12 13:40:57 main:574] : INFO : Epoch 65 | loss: 0.00337081 | val_loss: 0.00330203 | Time: 2922.74 ms [2020-11-12 13:41:00 main:574] : INFO : Epoch 66 | loss: 0.00325028 | val_loss: 0.00317966 | Time: 2916.54 ms [2020-11-12 13:41:03 main:574] : INFO : Epoch 67 | loss: 0.00313164 | val_loss: 0.00306226 | Time: 2941.58 ms [2020-11-12 13:41:06 main:574] : INFO : Epoch 68 | loss: 0.00301619 | val_loss: 0.00294327 | Time: 2922.84 ms [2020-11-12 13:41:09 main:574] : INFO : Epoch 69 | loss: 0.00290503 | val_loss: 0.00283261 | Time: 2939.3 ms [2020-11-12 13:41:12 main:574] : INFO : Epoch 70 | loss: 0.00279605 | val_loss: 0.00272454 | Time: 2924.41 ms [2020-11-12 13:41:15 main:574] : INFO : Epoch 71 | loss: 0.00269083 | val_loss: 0.00261853 | Time: 2917.51 ms [2020-11-12 13:41:18 main:574] : INFO : Epoch 72 | loss: 0.00258847 | val_loss: 0.00251831 | Time: 2929.01 ms [2020-11-12 13:41:21 main:574] : INFO : Epoch 73 | loss: 0.00249005 | val_loss: 0.00241665 | Time: 2936.56 ms [2020-11-12 13:41:24 main:574] : INFO : Epoch 74 | loss: 0.00239354 | val_loss: 0.00232299 | Time: 2943.56 ms [2020-11-12 13:41:27 main:574] : INFO : Epoch 75 | loss: 0.00230081 | val_loss: 0.00223249 | Time: 2927.45 ms [2020-11-12 13:41:30 main:574] : INFO : Epoch 76 | loss: 0.00221107 | val_loss: 0.00214492 | Time: 2937.01 ms [2020-11-12 13:41:32 main:574] : INFO : Epoch 77 | loss: 0.00212297 | val_loss: 0.00205867 | Time: 2915.72 ms [2020-11-12 13:41:35 main:574] : INFO : Epoch 78 | loss: 0.00203973 | val_loss: 0.00198065 | Time: 2936.97 ms [2020-11-12 13:41:38 main:574] : INFO : Epoch 79 | loss: 0.00195844 | val_loss: 0.00189374 | Time: 2944.26 ms [2020-11-12 13:41:41 main:574] : INFO : Epoch 80 | loss: 0.00188038 | val_loss: 0.00182049 | Time: 2919.41 ms [2020-11-12 13:41:44 main:574] : INFO : Epoch 81 | loss: 0.00180469 | val_loss: 0.00175066 | Time: 2923.65 ms [2020-11-12 13:41:47 main:574] : INFO : Epoch 82 | loss: 0.0017324 | val_loss: 0.00167752 | Time: 2950.2 ms [2020-11-12 13:41:50 main:574] : INFO : Epoch 83 | loss: 0.00166201 | val_loss: 0.00160671 | Time: 2943.95 ms [2020-11-12 13:41:53 main:574] : INFO : Epoch 84 | loss: 0.00159494 | val_loss: 0.00154175 | Time: 2952.03 ms [2020-11-12 13:41:56 main:574] : INFO : Epoch 85 | loss: 0.00153031 | val_loss: 0.00147893 | Time: 2921.31 ms [2020-11-12 13:41:59 main:574] : INFO : Epoch 86 | loss: 0.00146819 | val_loss: 0.00141725 | Time: 2929.24 ms [2020-11-12 13:42:02 main:574] : INFO : Epoch 87 | loss: 0.00140946 | val_loss: 0.001359 | Time: 2944.84 ms [2020-11-12 13:42:05 main:574] : INFO : Epoch 88 | loss: 0.00135277 | val_loss: 0.00131033 | Time: 2937.23 ms [2020-11-12 13:42:08 main:574] : INFO : Epoch 89 | loss: 0.00129899 | val_loss: 0.00125034 | Time: 2941.03 ms [2020-11-12 13:42:11 main:574] : INFO : Epoch 90 | loss: 0.0012487 | val_loss: 0.00120073 | Time: 2918.7 ms [2020-11-12 13:42:14 main:574] : INFO : Epoch 91 | loss: 0.00119683 | val_loss: 0.0011523 | Time: 2946.33 ms [2020-11-12 13:42:17 main:574] : INFO : Epoch 92 | loss: 0.00114907 | val_loss: 0.00110735 | Time: 2927.79 ms [2020-11-12 13:42:20 main:574] : INFO : Epoch 93 | loss: 0.00110358 | val_loss: 0.0010608 | Time: 2938.41 ms [2020-11-12 13:42:23 main:574] : INFO : Epoch 94 | loss: 0.00105987 | val_loss: 0.00102209 | Time: 2924.08 ms [2020-11-12 13:42:26 main:574] : INFO : Epoch 95 | loss: 0.00101893 | val_loss: 0.000978884 | Time: 2948.78 ms [2020-11-12 13:42:29 main:574] : INFO : Epoch 96 | loss: 0.000979102 | val_loss: 0.000941752 | Time: 2911.35 ms [2020-11-12 13:42:31 main:574] : INFO : Epoch 97 | loss: 0.000939348 | val_loss: 0.00090436 | Time: 2940.87 ms [2020-11-12 13:42:34 main:574] : INFO : Epoch 98 | loss: 0.000903869 | val_loss: 0.000871326 | Time: 2918.89 ms [2020-11-12 13:42:37 main:574] : INFO : Epoch 99 | loss: 0.000869009 | val_loss: 0.000835196 | Time: 2937.25 ms [2020-11-12 13:42:40 main:574] : INFO : Epoch 100 | loss: 0.000834469 | val_loss: 0.000800635 | Time: 2927.39 ms [2020-11-12 13:42:43 main:574] : INFO : Epoch 101 | loss: 0.000803458 | val_loss: 0.000772283 | Time: 2925.1 ms [2020-11-12 13:42:46 main:574] : INFO : Epoch 102 | loss: 0.000772176 | val_loss: 0.000741059 | Time: 2925.73 ms [2020-11-12 13:42:49 main:574] : INFO : Epoch 103 | loss: 0.00074214 | val_loss: 0.000712625 | Time: 2913.9 ms [2020-11-12 13:42:52 main:574] : INFO : Epoch 104 | loss: 0.000713951 | val_loss: 0.000687275 | Time: 2952.43 ms [2020-11-12 13:42:55 main:574] : INFO : Epoch 105 | loss: 0.000687206 | val_loss: 0.000658554 | Time: 2915.75 ms [2020-11-12 13:42:58 main:574] : INFO : Epoch 106 | loss: 0.000661055 | val_loss: 0.000639686 | Time: 2968 ms [2020-11-12 13:43:01 main:574] : INFO : Epoch 107 | loss: 0.000636077 | val_loss: 0.000614725 | Time: 2923.52 ms [2020-11-12 13:43:04 main:574] : INFO : Epoch 108 | loss: 0.000613212 | val_loss: 0.000593295 | Time: 2956.08 ms [2020-11-12 13:43:07 main:574] : INFO : Epoch 109 | loss: 0.000589294 | val_loss: 0.000567241 | Time: 2924.74 ms [2020-11-12 13:43:10 main:574] : INFO : Epoch 110 | loss: 0.00056824 | val_loss: 0.000546982 | Time: 2933.56 ms [2020-11-12 13:43:13 main:574] : INFO : Epoch 111 | loss: 0.00054806 | val_loss: 0.000528349 | Time: 2938.87 ms [2020-11-12 13:43:16 main:574] : INFO : Epoch 112 | loss: 0.000527589 | val_loss: 0.000509981 | Time: 2949.32 ms [2020-11-12 13:43:19 main:574] : INFO : Epoch 113 | loss: 0.000509019 | val_loss: 0.000493703 | Time: 2942.49 ms [2020-11-12 13:43:22 main:574] : INFO : Epoch 114 | loss: 0.000491188 | val_loss: 0.000475716 | Time: 2924.99 ms [2020-11-12 13:43:25 main:574] : INFO : Epoch 115 | loss: 0.000473736 | val_loss: 0.000460152 | Time: 2945.44 ms [2020-11-12 13:43:27 main:574] : INFO : Epoch 116 | loss: 0.0004576 | val_loss: 0.000441507 | Time: 2938.81 ms [2020-11-12 13:43:30 main:574] : INFO : Epoch 117 | loss: 0.000442226 | val_loss: 0.000427383 | Time: 2942.76 ms [2020-11-12 13:43:33 main:574] : INFO : Epoch 118 | loss: 0.000427581 | val_loss: 0.000414629 | Time: 2929.28 ms [2020-11-12 13:43:36 main:574] : INFO : Epoch 119 | loss: 0.000413539 | val_loss: 0.000401642 | Time: 2973.21 ms [2020-11-12 13:43:39 main:574] : INFO : Epoch 120 | loss: 0.000400712 | val_loss: 0.000388555 | Time: 2954.52 ms [2020-11-12 13:43:42 main:574] : INFO : Epoch 121 | loss: 0.000387903 | val_loss: 0.000376161 | Time: 2945.09 ms [2020-11-12 13:43:45 main:574] : INFO : Epoch 122 | loss: 0.000375449 | val_loss: 0.00036435 | Time: 2936.41 ms [2020-11-12 13:43:48 main:574] : INFO : Epoch 123 | loss: 0.000363874 | val_loss: 0.00036305 | Time: 2936.87 ms [2020-11-12 13:43:51 main:574] : INFO : Epoch 124 | loss: 0.000353393 | val_loss: 0.000342173 | Time: 2940.34 ms [2020-11-12 13:43:54 main:574] : INFO : Epoch 125 | loss: 0.000342535 | val_loss: 0.000330227 | Time: 2948.53 ms [2020-11-12 13:43:57 main:574] : INFO : Epoch 126 | loss: 0.000333373 | val_loss: 0.000321417 | Time: 2928.47 ms [2020-11-12 13:44:00 main:574] : INFO : Epoch 127 | loss: 0.000321603 | val_loss: 0.000312441 | Time: 2953.47 ms [2020-11-12 13:44:03 main:574] : INFO : Epoch 128 | loss: 0.00031247 | val_loss: 0.000303414 | Time: 2943.82 ms [2020-11-12 13:44:06 main:574] : INFO : Epoch 129 | loss: 0.000305472 | val_loss: 0.000297458 | Time: 2949.8 ms [2020-11-12 13:44:09 main:574] : INFO : Epoch 130 | loss: 0.000295233 | val_loss: 0.000286473 | Time: 2951.85 ms [2020-11-12 13:44:12 main:574] : INFO : Epoch 131 | loss: 0.000288051 | val_loss: 0.000279654 | Time: 2952.91 ms [2020-11-12 13:44:15 main:574] : INFO : Epoch 132 | loss: 0.000279137 | val_loss: 0.000270637 | Time: 2945.31 ms [2020-11-12 13:44:18 main:574] : INFO : Epoch 133 | loss: 0.000271594 | val_loss: 0.000263324 | Time: 2970.71 ms [2020-11-12 13:44:21 main:574] : INFO : Epoch 134 | loss: 0.000263522 | val_loss: 0.000258322 | Time: 2942.94 ms [2020-11-12 13:44:24 main:574] : INFO : Epoch 135 | loss: 0.000257259 | val_loss: 0.000251639 | Time: 2955.49 ms [2020-11-12 13:44:27 main:574] : INFO : Epoch 136 | loss: 0.000249982 | val_loss: 0.000246816 | Time: 2950.64 ms [2020-11-12 13:44:30 main:574] : INFO : Epoch 137 | loss: 0.000244344 | val_loss: 0.000239363 | Time: 2931.98 ms [2020-11-12 13:44:33 main:574] : INFO : Epoch 138 | loss: 0.000237168 | val_loss: 0.000231331 | Time: 2963.21 ms [2020-11-12 13:44:36 main:574] : INFO : Epoch 139 | loss: 0.000232349 | val_loss: 0.000229189 | Time: 2947.22 ms [2020-11-12 13:44:39 main:574] : INFO : Epoch 140 | loss: 0.000225682 | val_loss: 0.000219937 | Time: 2962.35 ms [2020-11-12 13:44:42 main:574] : INFO : Epoch 141 | loss: 0.000221028 | val_loss: 0.000215148 | Time: 3005.88 ms [2020-11-12 13:44:45 main:574] : INFO : Epoch 142 | loss: 0.000216508 | val_loss: 0.000215981 | Time: 2969.66 ms [2020-11-12 13:44:48 main:574] : INFO : Epoch 143 | loss: 0.000210142 | val_loss: 0.000204999 | Time: 2936.53 ms [2020-11-12 13:44:51 main:574] : INFO : Epoch 144 | loss: 0.000205392 | val_loss: 0.000202849 | Time: 2975.74 ms [2020-11-12 13:44:53 main:574] : INFO : Epoch 145 | loss: 0.000200721 | val_loss: 0.0001969 | Time: 2938.78 ms [2020-11-12 13:44:56 main:574] : INFO : Epoch 146 | loss: 0.00019628 | val_loss: 0.000191909 | Time: 2960.52 ms [2020-11-12 13:44:59 main:574] : INFO : Epoch 147 | loss: 0.000191965 | val_loss: 0.000192432 | Time: 2953.82 ms [2020-11-12 13:45:02 main:574] : INFO : Epoch 148 | loss: 0.000187171 | val_loss: 0.000183268 | Time: 2957.65 ms [2020-11-12 13:45:05 main:574] : INFO : Epoch 149 | loss: 0.000182773 | val_loss: 0.000180106 | Time: 2928.63 ms [2020-11-12 13:45:08 main:574] : INFO : Epoch 150 | loss: 0.000179272 | val_loss: 0.000175308 | Time: 2959.96 ms [2020-11-12 13:45:11 main:574] : INFO : Epoch 151 | loss: 0.000178787 | val_loss: 0.000172328 | Time: 2946.42 ms [2020-11-12 13:45:14 main:574] : INFO : Epoch 152 | loss: 0.000171936 | val_loss: 0.000172742 | Time: 2956.8 ms [2020-11-12 13:45:17 main:574] : INFO : Epoch 153 | loss: 0.000168598 | val_loss: 0.000166756 | Time: 2959.85 ms [2020-11-12 13:45:20 main:574] : INFO : Epoch 154 | loss: 0.000165986 | val_loss: 0.000163382 | Time: 2955.25 ms [2020-11-12 13:45:23 main:574] : INFO : Epoch 155 | loss: 0.000162012 | val_loss: 0.000159739 | Time: 2947.18 ms [2020-11-12 13:45:26 main:574] : INFO : Epoch 156 | loss: 0.000158664 | val_loss: 0.000156257 | Time: 2961.6 ms [2020-11-12 13:45:29 main:574] : INFO : Epoch 157 | loss: 0.000155384 | val_loss: 0.000153602 | Time: 2955.62 ms [2020-11-12 13:45:32 main:574] : INFO : Epoch 158 | loss: 0.000152674 | val_loss: 0.000150121 | Time: 2935.35 ms [2020-11-12 13:45:35 main:574] : INFO : Epoch 159 | loss: 0.00015028 | val_loss: 0.000146835 | Time: 2965.04 ms [2020-11-12 13:45:38 main:574] : INFO : Epoch 160 | loss: 0.000147261 | val_loss: 0.000146045 | Time: 2946.86 ms [2020-11-12 13:45:41 main:574] : INFO : Epoch 161 | loss: 0.000143627 | val_loss: 0.000141488 | Time: 2956.83 ms [2020-11-12 13:45:44 main:574] : INFO : Epoch 162 | loss: 0.0001424 | val_loss: 0.000160377 | Time: 2931.07 ms [2020-11-12 13:45:47 main:574] : INFO : Epoch 163 | loss: 0.000140991 | val_loss: 0.000138481 | Time: 2960.83 ms [2020-11-12 13:45:50 main:574] : INFO : Epoch 164 | loss: 0.000136652 | val_loss: 0.000136063 | Time: 2929.15 ms [2020-11-12 13:45:53 main:574] : INFO : Epoch 165 | loss: 0.000134915 | val_loss: 0.000132109 | Time: 2983.15 ms [2020-11-12 13:45:56 main:574] : INFO : Epoch 166 | loss: 0.000132449 | val_loss: 0.00013112 | Time: 2931.87 ms [2020-11-12 13:45:59 main:574] : INFO : Epoch 167 | loss: 0.000129969 | val_loss: 0.000128085 | Time: 2943.58 ms [2020-11-12 13:46:02 main:574] : INFO : Epoch 168 | loss: 0.000127028 | val_loss: 0.000125705 | Time: 2943.22 ms [2020-11-12 13:46:05 main:574] : INFO : Epoch 169 | loss: 0.000125548 | val_loss: 0.000124019 | Time: 2940.98 ms [2020-11-12 13:46:08 main:574] : INFO : Epoch 170 | loss: 0.000123254 | val_loss: 0.000120378 | Time: 2944.12 ms [2020-11-12 13:46:11 main:574] : INFO : Epoch 171 | loss: 0.000124225 | val_loss: 0.000141582 | Time: 2942.03 ms [2020-11-12 13:46:13 main:574] : INFO : Epoch 172 | loss: 0.000120962 | val_loss: 0.00011683 | Time: 2933.67 ms [2020-11-12 13:46:17 main:574] : INFO : Epoch 173 | loss: 0.000116836 | val_loss: 0.000116441 | Time: 3074.13 ms [2020-11-12 13:46:20 main:574] : INFO : Epoch 174 | loss: 0.000115911 | val_loss: 0.000114753 | Time: 2954.09 ms [2020-11-12 13:46:22 main:574] : INFO : Epoch 175 | loss: 0.000114071 | val_loss: 0.000112733 | Time: 2952.5 ms [2020-11-12 13:46:25 main:574] : INFO : Epoch 176 | loss: 0.00011221 | val_loss: 0.000109546 | Time: 2950.3 ms [2020-11-12 13:46:28 main:574] : INFO : Epoch 177 | loss: 0.00011028 | val_loss: 0.000110881 | Time: 2956.07 ms [2020-11-12 13:46:31 main:574] : INFO : Epoch 178 | loss: 0.000109285 | val_loss: 0.000108204 | Time: 2942.95 ms [2020-11-12 13:46:34 main:574] : INFO : Epoch 179 | loss: 0.000107476 | val_loss: 0.000106981 | Time: 2955.75 ms [2020-11-12 13:46:37 main:574] : INFO : Epoch 180 | loss: 0.00010554 | val_loss: 0.000105237 | Time: 2950.34 ms [2020-11-12 13:46:40 main:574] : INFO : Epoch 181 | loss: 0.000104386 | val_loss: 0.000105837 | Time: 2956.2 ms [2020-11-12 13:46:43 main:574] : INFO : Epoch 182 | loss: 0.000103247 | val_loss: 0.000102773 | Time: 2950.97 ms [2020-11-12 13:46:46 main:574] : INFO : Epoch 183 | loss: 0.000100788 | val_loss: 0.00010207 | Time: 2933.52 ms [2020-11-12 13:46:49 main:574] : INFO : Epoch 184 | loss: 9.98552e-05 | val_loss: 9.96702e-05 | Time: 2942.16 ms [2020-11-12 13:46:52 main:574] : INFO : Epoch 185 | loss: 9.83961e-05 | val_loss: 9.86812e-05 | Time: 2946.92 ms [2020-11-12 13:46:55 main:574] : INFO : Epoch 186 | loss: 9.76153e-05 | val_loss: 9.89139e-05 | Time: 2938.61 ms [2020-11-12 13:46:58 main:574] : INFO : Epoch 187 | loss: 9.63958e-05 | val_loss: 9.56774e-05 | Time: 2942.85 ms [2020-11-12 13:47:01 main:574] : INFO : Epoch 188 | loss: 9.49896e-05 | val_loss: 9.35793e-05 | Time: 2980.07 ms [2020-11-12 13:47:04 main:574] : INFO : Epoch 189 | loss: 9.38345e-05 | val_loss: 9.23692e-05 | Time: 2942.77 ms [2020-11-12 13:47:07 main:574] : INFO : Epoch 190 | loss: 9.21774e-05 | val_loss: 9.1406e-05 | Time: 2947.6 ms [2020-11-12 13:47:10 main:574] : INFO : Epoch 191 | loss: 9.10324e-05 | val_loss: 8.99882e-05 | Time: 2938.88 ms [2020-11-12 13:47:13 main:574] : INFO : Epoch 192 | loss: 9.02811e-05 | val_loss: 8.99625e-05 | Time: 2956.13 ms [2020-11-12 13:47:13 main:597] : INFO : Saving trained model to model-final.pt, val_loss 8.99625e-05 [2020-11-12 13:47:13 main:603] : INFO : Saving end state to config to file [2020-11-12 13:47:13 main:608] : INFO : Success, exiting.. 13:47:13 (16236): 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)