Task 2905892
| Name | rand_automata_0063-1604947486-21730-11_1 |
| Workunit | 1312279 |
| Created | 12 Nov 2020, 16:55:05 UTC |
| Sent | 12 Nov 2020, 16:55:06 UTC |
| Report deadline | 19 Nov 2020, 16:55:06 UTC |
| Received | 12 Nov 2020, 19:12:48 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 574 |
| Run time | 20 min 31 sec |
| CPU time | 19 min 55 sec |
| Validate state | Valid |
| Credit | 959.40 |
| Device peak FLOPS | 1,475.31 GFLOPS |
| Application version | Machine Learning Dataset Generator (test) v9.75 (cuda10200) windows_x86_64 |
| Peak working set size | 1.41 GB |
| Peak swap size | 3.00 GB |
| Peak disk usage | 1.53 GB |
Stderr output
<core_client_version>7.16.11</core_client_version> <![CDATA[ <stderr_txt> Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: GeForce GTX 750 Ti) [2020-11-12 19:52:02 main:435] : INFO : Set logging level to 1 [2020-11-12 19:52:02 main:441] : INFO : Running in BOINC Client mode [2020-11-12 19:52:02 main:444] : INFO : Resolving all filenames [2020-11-12 19:52:02 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0063-train-val-dataset.hdf5 (exists = 1) [2020-11-12 19:52:02 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0063-1604947486-21730-11_1_r1114358463_1 (exists = 0) [2020-11-12 19:52:02 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0063-1604947486-21730-11_1_r1114358463_0 (exists = 0) [2020-11-12 19:52:02 main:452] : INFO : Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0063-1604947486-21730-11 (exists = 1) [2020-11-12 19:52:02 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-12 19:52:02 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/rand_automata_0063-train-val-dataset.hdf5 [2020-11-12 19:52:02 main:474] : INFO : Configuration: [2020-11-12 19:52:02 main:475] : INFO : Model type: LSTM [2020-11-12 19:52:02 main:476] : INFO : Validation Loss Threshold: 0.0001 [2020-11-12 19:52:02 main:477] : INFO : Max Epochs: 192 [2020-11-12 19:52:02 main:478] : INFO : Batch Size: 32 [2020-11-12 19:52:02 main:479] : INFO : Learning Rate: 0.001 [2020-11-12 19:52:02 main:480] : INFO : Patience: 10 [2020-11-12 19:52:02 main:481] : INFO : Hidden Width: 64 [2020-11-12 19:52:03 main:482] : INFO : # Recurrent Layers: 4 [2020-11-12 19:52:03 main:483] : INFO : # Backend Layers: 2 [2020-11-12 19:52:03 main:484] : INFO : # Threads: 1 [2020-11-12 19:52:03 main:486] : INFO : Preparing Dataset [2020-11-12 19:52:03 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0063-train-val-dataset.hdf5 into memory [2020-11-12 19:52:03 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0063-train-val-dataset.hdf5 into memory [2020-11-12 19:52:05 load:106] : INFO : Successfully loaded dataset of 4096 examples into memory. [2020-11-12 19:52:05 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0063-train-val-dataset.hdf5 into memory [2020-11-12 19:52:06 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0063-train-val-dataset.hdf5 into memory [2020-11-12 19:52:06 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-12 19:52:06 main:494] : INFO : Creating Model [2020-11-12 19:52:06 main:507] : INFO : Preparing config file [2020-11-12 19:52:06 main:519] : INFO : Creating new config file [2020-11-12 19:52:06 main:538] : INFO : This is a continuation WU, loading previous network [2020-11-12 19:52:07 main:559] : INFO : Loading DataLoader into Memory [2020-11-12 19:52:07 main:562] : INFO : Starting Training [2020-11-12 19:52:14 main:574] : INFO : Epoch 1 | loss: 0.049218 | val_loss: 0.0474706 | Time: 6844.16 ms [2020-11-12 19:52:20 main:574] : INFO : Epoch 2 | loss: 0.047985 | val_loss: 0.0488494 | Time: 6324.75 ms [2020-11-12 19:52:27 main:574] : INFO : Epoch 3 | loss: 0.0483275 | val_loss: 0.0490775 | Time: 6444.9 ms [2020-11-12 19:52:33 main:574] : INFO : Epoch 4 | loss: 0.048367 | val_loss: 0.0493498 | Time: 6449.12 ms [2020-11-12 19:52:39 main:574] : INFO : Epoch 5 | loss: 0.0489552 | val_loss: 0.0492811 | Time: 6305.41 ms [2020-11-12 19:52:46 main:574] : INFO : Epoch 6 | loss: 0.048081 | val_loss: 0.048652 | Time: 6488.04 ms [2020-11-12 19:52:52 main:574] : INFO : Epoch 7 | loss: 0.0476065 | val_loss: 0.0480358 | Time: 6262.08 ms [2020-11-12 19:52:59 main:574] : INFO : Epoch 8 | loss: 0.0475766 | val_loss: 0.0490952 | Time: 6439.76 ms [2020-11-12 19:53:05 main:574] : INFO : Epoch 9 | loss: 0.0487206 | val_loss: 0.0488905 | Time: 6438.31 ms [2020-11-12 19:53:11 main:574] : INFO : Epoch 10 | loss: 0.0477934 | val_loss: 0.0477639 | Time: 6195.72 ms [2020-11-12 19:53:18 main:574] : INFO : Epoch 11 | loss: 0.0469092 | val_loss: 0.0467289 | Time: 6257.32 ms [2020-11-12 19:53:24 main:574] : INFO : Epoch 12 | loss: 0.0456699 | val_loss: 0.0456012 | Time: 6200.21 ms [2020-11-12 19:53:30 main:574] : INFO : Epoch 13 | loss: 0.0460007 | val_loss: 0.0463879 | Time: 6230.23 ms [2020-11-12 19:53:37 main:574] : INFO : Epoch 14 | loss: 0.0458495 | val_loss: 0.0465358 | Time: 6199.42 ms [2020-11-12 19:53:43 main:574] : INFO : Epoch 15 | loss: 0.0496388 | val_loss: 0.0522308 | Time: 6215.43 ms [2020-11-12 19:53:49 main:574] : INFO : Epoch 16 | loss: 0.0520518 | val_loss: 0.0521542 | Time: 6290.34 ms [2020-11-12 19:53:55 main:574] : INFO : Epoch 17 | loss: 0.0517406 | val_loss: 0.0528662 | Time: 6225.78 ms [2020-11-12 19:54:02 main:574] : INFO : Epoch 18 | loss: 0.0532897 | val_loss: 0.0532319 | Time: 6226.26 ms [2020-11-12 19:54:08 main:574] : INFO : Epoch 19 | loss: 0.0528404 | val_loss: 0.0526607 | Time: 6427.46 ms [2020-11-12 19:54:15 main:574] : INFO : Epoch 20 | loss: 0.0525341 | val_loss: 0.0527288 | Time: 6280.32 ms [2020-11-12 19:54:21 main:574] : INFO : Epoch 21 | loss: 0.0523037 | val_loss: 0.052714 | Time: 6082.63 ms [2020-11-12 19:54:27 main:574] : INFO : Epoch 22 | loss: 0.0523292 | val_loss: 0.0524701 | Time: 6241.58 ms [2020-11-12 19:54:33 main:574] : INFO : Epoch 23 | loss: 0.0520352 | val_loss: 0.0522319 | Time: 6200.36 ms [2020-11-12 19:54:39 main:574] : INFO : Epoch 24 | loss: 0.0517136 | val_loss: 0.0518181 | Time: 6061.29 ms [2020-11-12 19:54:46 main:574] : INFO : Epoch 25 | loss: 0.0514512 | val_loss: 0.0516711 | Time: 6406.73 ms [2020-11-12 19:54:52 main:574] : INFO : Epoch 26 | loss: 0.0512128 | val_loss: 0.0513823 | Time: 6087.14 ms [2020-11-12 19:54:58 main:574] : INFO : Epoch 27 | loss: 0.0508229 | val_loss: 0.0510503 | Time: 6007.02 ms [2020-11-12 19:55:04 main:574] : INFO : Epoch 28 | loss: 0.0504982 | val_loss: 0.0506822 | Time: 6169.88 ms [2020-11-12 19:55:10 main:574] : INFO : Epoch 29 | loss: 0.0502202 | val_loss: 0.0504062 | Time: 6294.93 ms [2020-11-12 19:55:17 main:574] : INFO : Epoch 30 | loss: 0.0499246 | val_loss: 0.0502153 | Time: 6439.96 ms [2020-11-12 19:55:23 main:574] : INFO : Epoch 31 | loss: 0.0496797 | val_loss: 0.0497932 | Time: 6187.46 ms [2020-11-12 19:55:29 main:574] : INFO : Epoch 32 | loss: 0.0491634 | val_loss: 0.0494102 | Time: 6144.22 ms [2020-11-12 19:55:36 main:574] : INFO : Epoch 33 | loss: 0.048802 | val_loss: 0.0491182 | Time: 6333.48 ms [2020-11-12 19:55:42 main:574] : INFO : Epoch 34 | loss: 0.0487785 | val_loss: 0.0493116 | Time: 6350.3 ms [2020-11-12 19:55:48 main:574] : INFO : Epoch 35 | loss: 0.0491784 | val_loss: 0.0496589 | Time: 6195.68 ms [2020-11-12 19:55:55 main:574] : INFO : Epoch 36 | loss: 0.0490939 | val_loss: 0.0493853 | Time: 6199.2 ms [2020-11-12 19:56:01 main:574] : INFO : Epoch 37 | loss: 0.0487937 | val_loss: 0.0490399 | Time: 6200.58 ms [2020-11-12 19:56:07 main:574] : INFO : Epoch 38 | loss: 0.0486545 | val_loss: 0.0485781 | Time: 6198.61 ms [2020-11-12 19:56:13 main:574] : INFO : Epoch 39 | loss: 0.048162 | val_loss: 0.0484247 | Time: 6227.27 ms [2020-11-12 19:56:20 main:574] : INFO : Epoch 40 | loss: 0.0487548 | val_loss: 0.0493038 | Time: 6297.62 ms [2020-11-12 19:56:26 main:574] : INFO : Epoch 41 | loss: 0.0484 | val_loss: 0.0490792 | Time: 6246.85 ms [2020-11-12 19:56:32 main:574] : INFO : Epoch 42 | loss: 0.0481728 | val_loss: 0.0482838 | Time: 6278.35 ms [2020-11-12 19:56:39 main:574] : INFO : Epoch 43 | loss: 0.0476755 | val_loss: 0.0478087 | Time: 6203.29 ms [2020-11-12 19:56:45 main:574] : INFO : Epoch 44 | loss: 0.0485275 | val_loss: 0.0491597 | Time: 6165.72 ms [2020-11-12 19:56:51 main:574] : INFO : Epoch 45 | loss: 0.0499294 | val_loss: 0.0508394 | Time: 6222.26 ms [2020-11-12 19:56:57 main:574] : INFO : Epoch 46 | loss: 0.0505491 | val_loss: 0.0507124 | Time: 6235.3 ms [2020-11-12 19:57:04 main:574] : INFO : Epoch 47 | loss: 0.0501089 | val_loss: 0.0498905 | Time: 6289.5 ms [2020-11-12 19:57:10 main:574] : INFO : Epoch 48 | loss: 0.0496141 | val_loss: 0.0506236 | Time: 6182.95 ms [2020-11-12 19:57:16 main:574] : INFO : Epoch 49 | loss: 0.0503962 | val_loss: 0.050275 | Time: 6324.72 ms [2020-11-12 19:57:22 main:574] : INFO : Epoch 50 | loss: 0.0496675 | val_loss: 0.0496191 | Time: 6119.8 ms [2020-11-12 19:57:29 main:574] : INFO : Epoch 51 | loss: 0.049076 | val_loss: 0.049177 | Time: 6262.68 ms [2020-11-12 19:57:35 main:574] : INFO : Epoch 52 | loss: 0.0484508 | val_loss: 0.0487142 | Time: 6049.58 ms [2020-11-12 19:57:41 main:574] : INFO : Epoch 53 | loss: 0.0477284 | val_loss: 0.0479954 | Time: 6133.89 ms [2020-11-12 19:57:47 main:574] : INFO : Epoch 54 | loss: 0.0480707 | val_loss: 0.0485779 | Time: 6194.27 ms [2020-11-12 19:57:54 main:574] : INFO : Epoch 55 | loss: 0.0480685 | val_loss: 0.0479427 | Time: 6430.59 ms [2020-11-12 19:58:00 main:574] : INFO : Epoch 56 | loss: 0.0473791 | val_loss: 0.0479982 | Time: 6315.26 ms [2020-11-12 19:58:06 main:574] : INFO : Epoch 57 | loss: 0.0488204 | val_loss: 0.0496357 | Time: 6287.51 ms [2020-11-12 19:58:13 main:574] : INFO : Epoch 58 | loss: 0.0522162 | val_loss: 0.0533316 | Time: 6496.36 ms [2020-11-12 19:58:19 main:574] : INFO : Epoch 59 | loss: 0.0528844 | val_loss: 0.0532659 | Time: 6333.16 ms [2020-11-12 19:58:26 main:574] : INFO : Epoch 60 | loss: 0.0526995 | val_loss: 0.0530206 | Time: 6148.13 ms [2020-11-12 19:58:32 main:574] : INFO : Epoch 61 | loss: 0.0524851 | val_loss: 0.0525314 | Time: 6273.09 ms [2020-11-12 19:58:38 main:574] : INFO : Epoch 62 | loss: 0.0528833 | val_loss: 0.0532253 | Time: 6224.08 ms [2020-11-12 19:58:44 main:574] : INFO : Epoch 63 | loss: 0.0530353 | val_loss: 0.0529711 | Time: 6230.83 ms [2020-11-12 19:58:51 main:574] : INFO : Epoch 64 | loss: 0.0531014 | val_loss: 0.0539839 | Time: 6167.91 ms [2020-11-12 19:58:57 main:574] : INFO : Epoch 65 | loss: 0.0538217 | val_loss: 0.0539237 | Time: 6123.55 ms [2020-11-12 19:59:03 main:574] : INFO : Epoch 66 | loss: 0.0534419 | val_loss: 0.05351 | Time: 6007.74 ms [2020-11-12 19:59:09 main:574] : INFO : Epoch 67 | loss: 0.053442 | val_loss: 0.0538307 | Time: 6243.29 ms [2020-11-12 19:59:15 main:574] : INFO : Epoch 68 | loss: 0.0536058 | val_loss: 0.0538251 | Time: 6143.82 ms [2020-11-12 19:59:21 main:574] : INFO : Epoch 69 | loss: 0.053643 | val_loss: 0.0537139 | Time: 5942.64 ms [2020-11-12 19:59:28 main:574] : INFO : Epoch 70 | loss: 0.0536299 | val_loss: 0.0547588 | Time: 6483.37 ms [2020-11-12 19:59:34 main:574] : INFO : Epoch 71 | loss: 0.0548164 | val_loss: 0.0548062 | Time: 6288.14 ms [2020-11-12 19:59:40 main:574] : INFO : Epoch 72 | loss: 0.0548149 | val_loss: 0.0548195 | Time: 6233.1 ms [2020-11-12 19:59:47 main:574] : INFO : Epoch 73 | loss: 0.0547626 | val_loss: 0.0547448 | Time: 6114.26 ms [2020-11-12 19:59:53 main:574] : INFO : Epoch 74 | loss: 0.0547433 | val_loss: 0.0548751 | Time: 6297.4 ms [2020-11-12 19:59:59 main:574] : INFO : Epoch 75 | loss: 0.0548008 | val_loss: 0.0549561 | Time: 5982.93 ms [2020-11-12 20:00:05 main:574] : INFO : Epoch 76 | loss: 0.0547159 | val_loss: 0.0548327 | Time: 6298.92 ms [2020-11-12 20:00:11 main:574] : INFO : Epoch 77 | loss: 0.0545348 | val_loss: 0.0545801 | Time: 6021.69 ms [2020-11-12 20:00:17 main:574] : INFO : Epoch 78 | loss: 0.0542983 | val_loss: 0.0543809 | Time: 6034.91 ms [2020-11-12 20:00:24 main:574] : INFO : Epoch 79 | loss: 0.0540454 | val_loss: 0.0541327 | Time: 6321.84 ms [2020-11-12 20:00:30 main:574] : INFO : Epoch 80 | loss: 0.0538975 | val_loss: 0.0541201 | Time: 6212.43 ms [2020-11-12 20:00:36 main:574] : INFO : Epoch 81 | loss: 0.0537133 | val_loss: 0.0537832 | Time: 6249.35 ms [2020-11-12 20:00:43 main:574] : INFO : Epoch 82 | loss: 0.053516 | val_loss: 0.0536186 | Time: 6198.52 ms [2020-11-12 20:00:49 main:574] : INFO : Epoch 83 | loss: 0.0532343 | val_loss: 0.0533073 | Time: 6307.81 ms [2020-11-12 20:00:55 main:574] : INFO : Epoch 84 | loss: 0.0529095 | val_loss: 0.0529584 | Time: 6224.03 ms [2020-11-12 20:01:02 main:574] : INFO : Epoch 85 | loss: 0.0525428 | val_loss: 0.0526821 | Time: 6347.34 ms [2020-11-12 20:01:08 main:574] : INFO : Epoch 86 | loss: 0.052368 | val_loss: 0.052411 | Time: 6464.82 ms [2020-11-12 20:01:14 main:574] : INFO : Epoch 87 | loss: 0.052161 | val_loss: 0.0521571 | Time: 6271.84 ms [2020-11-12 20:01:21 main:574] : INFO : Epoch 88 | loss: 0.0517988 | val_loss: 0.0521792 | Time: 6174.12 ms [2020-11-12 20:01:27 main:574] : INFO : Epoch 89 | loss: 0.0518625 | val_loss: 0.0518992 | Time: 6313.42 ms [2020-11-12 20:01:33 main:574] : INFO : Epoch 90 | loss: 0.0514974 | val_loss: 0.0516893 | Time: 6349.95 ms [2020-11-12 20:01:40 main:574] : INFO : Epoch 91 | loss: 0.0512057 | val_loss: 0.0511777 | Time: 6196.14 ms [2020-11-12 20:01:46 main:574] : INFO : Epoch 92 | loss: 0.0507881 | val_loss: 0.0509177 | Time: 6286.1 ms [2020-11-12 20:01:52 main:574] : INFO : Epoch 93 | loss: 0.0503783 | val_loss: 0.0504118 | Time: 6193.98 ms [2020-11-12 20:01:58 main:574] : INFO : Epoch 94 | loss: 0.0495741 | val_loss: 0.049662 | Time: 5921.52 ms [2020-11-12 20:02:05 main:574] : INFO : Epoch 95 | loss: 0.0504946 | val_loss: 0.0512127 | Time: 6356.25 ms [2020-11-12 20:02:11 main:574] : INFO : Epoch 96 | loss: 0.053264 | val_loss: 0.0541756 | Time: 6158.11 ms [2020-11-12 20:02:17 main:574] : INFO : Epoch 97 | loss: 0.0538757 | val_loss: 0.0542355 | Time: 6183.17 ms [2020-11-12 20:02:23 main:574] : INFO : Epoch 98 | loss: 0.0538033 | val_loss: 0.0538022 | Time: 6271.12 ms [2020-11-12 20:02:30 main:574] : INFO : Epoch 99 | loss: 0.0537037 | val_loss: 0.0545337 | Time: 6377.5 ms [2020-11-12 20:02:36 main:574] : INFO : Epoch 100 | loss: 0.0541976 | val_loss: 0.0546932 | Time: 6165.83 ms [2020-11-12 20:02:42 main:574] : INFO : Epoch 101 | loss: 0.0545774 | val_loss: 0.05468 | Time: 6145.79 ms [2020-11-12 20:02:48 main:574] : INFO : Epoch 102 | loss: 0.0543663 | val_loss: 0.0544168 | Time: 6278.78 ms [2020-11-12 20:02:54 main:574] : INFO : Epoch 103 | loss: 0.0540453 | val_loss: 0.0540252 | Time: 5977.83 ms [2020-11-12 20:03:01 main:574] : INFO : Epoch 104 | loss: 0.0536456 | val_loss: 0.0536016 | Time: 6071.02 ms [2020-11-12 20:03:07 main:574] : INFO : Epoch 105 | loss: 0.0532678 | val_loss: 0.0533132 | Time: 6164.01 ms [2020-11-12 20:03:13 main:574] : INFO : Epoch 106 | loss: 0.0536049 | val_loss: 0.0537983 | Time: 6295.31 ms [2020-11-12 20:03:19 main:574] : INFO : Epoch 107 | loss: 0.0534279 | val_loss: 0.0533175 | Time: 6194.64 ms [2020-11-12 20:03:26 main:574] : INFO : Epoch 108 | loss: 0.05299 | val_loss: 0.0529087 | Time: 6222.35 ms [2020-11-12 20:03:32 main:574] : INFO : Epoch 109 | loss: 0.052642 | val_loss: 0.0528173 | Time: 6042.53 ms [2020-11-12 20:03:38 main:574] : INFO : Epoch 110 | loss: 0.0525813 | val_loss: 0.052493 | Time: 6402.13 ms [2020-11-12 20:03:44 main:574] : INFO : Epoch 111 | loss: 0.0521372 | val_loss: 0.0523702 | Time: 6206.14 ms [2020-11-12 20:03:51 main:574] : INFO : Epoch 112 | loss: 0.0521355 | val_loss: 0.0520953 | Time: 6411.63 ms [2020-11-12 20:03:57 main:574] : INFO : Epoch 113 | loss: 0.0517827 | val_loss: 0.0516418 | Time: 6313.88 ms [2020-11-12 20:04:04 main:574] : INFO : Epoch 114 | loss: 0.0520904 | val_loss: 0.0526237 | Time: 6347.12 ms [2020-11-12 20:04:10 main:574] : INFO : Epoch 115 | loss: 0.052354 | val_loss: 0.0521039 | Time: 6294.54 ms [2020-11-12 20:04:16 main:574] : INFO : Epoch 116 | loss: 0.0520141 | val_loss: 0.0518295 | Time: 6299.58 ms [2020-11-12 20:04:23 main:574] : INFO : Epoch 117 | loss: 0.0520921 | val_loss: 0.052762 | Time: 6350.49 ms [2020-11-12 20:04:29 main:574] : INFO : Epoch 118 | loss: 0.0533445 | val_loss: 0.0535315 | Time: 6252.2 ms [2020-11-12 20:04:35 main:574] : INFO : Epoch 119 | loss: 0.0532824 | val_loss: 0.0534124 | Time: 6336.51 ms [2020-11-12 20:04:42 main:574] : INFO : Epoch 120 | loss: 0.0530821 | val_loss: 0.0530243 | Time: 6567.07 ms [2020-11-12 20:04:49 main:574] : INFO : Epoch 121 | loss: 0.0527213 | val_loss: 0.0526871 | Time: 6412.16 ms [2020-11-12 20:04:55 main:574] : INFO : Epoch 122 | loss: 0.0522648 | val_loss: 0.0522682 | Time: 6190.33 ms [2020-11-12 20:05:01 main:574] : INFO : Epoch 123 | loss: 0.0521183 | val_loss: 0.0522345 | Time: 6221.8 ms [2020-11-12 20:05:07 main:574] : INFO : Epoch 124 | loss: 0.0518297 | val_loss: 0.0519772 | Time: 6279.6 ms [2020-11-12 20:05:14 main:574] : INFO : Epoch 125 | loss: 0.0515995 | val_loss: 0.0515294 | Time: 6348.73 ms [2020-11-12 20:05:20 main:574] : INFO : Epoch 126 | loss: 0.051337 | val_loss: 0.051544 | Time: 6259.43 ms [2020-11-12 20:05:26 main:574] : INFO : Epoch 127 | loss: 0.0516094 | val_loss: 0.0523115 | Time: 6225.32 ms [2020-11-12 20:05:33 main:574] : INFO : Epoch 128 | loss: 0.0519968 | val_loss: 0.0522427 | Time: 6308.69 ms [2020-11-12 20:05:39 main:574] : INFO : Epoch 129 | loss: 0.0518751 | val_loss: 0.0518782 | Time: 6221.35 ms [2020-11-12 20:05:45 main:574] : INFO : Epoch 130 | loss: 0.0519533 | val_loss: 0.0521481 | Time: 6149.65 ms [2020-11-12 20:05:52 main:574] : INFO : Epoch 131 | loss: 0.0517682 | val_loss: 0.051666 | Time: 6381.79 ms [2020-11-12 20:05:58 main:574] : INFO : Epoch 132 | loss: 0.0519183 | val_loss: 0.0522834 | Time: 6124.92 ms [2020-11-12 20:06:04 main:574] : INFO : Epoch 133 | loss: 0.0528654 | val_loss: 0.0528878 | Time: 6121.14 ms [2020-11-12 20:06:10 main:574] : INFO : Epoch 134 | loss: 0.0535575 | val_loss: 0.053856 | Time: 6244.27 ms [2020-11-12 20:06:17 main:574] : INFO : Epoch 135 | loss: 0.0543347 | val_loss: 0.0542923 | Time: 6369.11 ms [2020-11-12 20:06:23 main:574] : INFO : Epoch 136 | loss: 0.0543138 | val_loss: 0.0540964 | Time: 6459.29 ms [2020-11-12 20:06:30 main:574] : INFO : Epoch 137 | loss: 0.0542171 | val_loss: 0.0540841 | Time: 6414.04 ms [2020-11-12 20:06:36 main:574] : INFO : Epoch 138 | loss: 0.0541389 | val_loss: 0.0546534 | Time: 6215.07 ms [2020-11-12 20:06:42 main:574] : INFO : Epoch 139 | loss: 0.0553279 | val_loss: 0.0550521 | Time: 6087.7 ms [2020-11-12 20:06:48 main:574] : INFO : Epoch 140 | loss: 0.0550468 | val_loss: 0.0547756 | Time: 6134.23 ms [2020-11-12 20:06:55 main:574] : INFO : Epoch 141 | loss: 0.0550017 | val_loss: 0.0553209 | Time: 6424.52 ms [2020-11-12 20:07:01 main:574] : INFO : Epoch 142 | loss: 0.0554372 | val_loss: 0.0551835 | Time: 6426.11 ms [2020-11-12 20:07:07 main:574] : INFO : Epoch 143 | loss: 0.0552203 | val_loss: 0.0549733 | Time: 6329.03 ms [2020-11-12 20:07:14 main:574] : INFO : Epoch 144 | loss: 0.0550054 | val_loss: 0.0548168 | Time: 6244.07 ms [2020-11-12 20:07:20 main:574] : INFO : Epoch 145 | loss: 0.0547789 | val_loss: 0.0545325 | Time: 6154.54 ms [2020-11-12 20:07:26 main:574] : INFO : Epoch 146 | loss: 0.0545755 | val_loss: 0.0544237 | Time: 6271.88 ms [2020-11-12 20:07:32 main:574] : INFO : Epoch 147 | loss: 0.0544399 | val_loss: 0.054384 | Time: 6190.05 ms [2020-11-12 20:07:39 main:574] : INFO : Epoch 148 | loss: 0.0552012 | val_loss: 0.0554072 | Time: 6262.12 ms [2020-11-12 20:07:45 main:574] : INFO : Epoch 149 | loss: 0.0552294 | val_loss: 0.0550884 | Time: 6099.97 ms [2020-11-12 20:07:51 main:574] : INFO : Epoch 150 | loss: 0.0550327 | val_loss: 0.0550345 | Time: 6474.83 ms [2020-11-12 20:07:58 main:574] : INFO : Epoch 151 | loss: 0.0548125 | val_loss: 0.0546625 | Time: 6414.52 ms [2020-11-12 20:08:04 main:574] : INFO : Epoch 152 | loss: 0.0545043 | val_loss: 0.0545101 | Time: 6137.26 ms [2020-11-12 20:08:11 main:574] : INFO : Epoch 153 | loss: 0.0543488 | val_loss: 0.0542944 | Time: 6420.97 ms [2020-11-12 20:08:17 main:574] : INFO : Epoch 154 | loss: 0.0541391 | val_loss: 0.0539456 | Time: 6012.66 ms [2020-11-12 20:08:23 main:574] : INFO : Epoch 155 | loss: 0.0538914 | val_loss: 0.053598 | Time: 6079.05 ms [2020-11-12 20:08:29 main:574] : INFO : Epoch 156 | loss: 0.0535738 | val_loss: 0.0534238 | Time: 6186.16 ms [2020-11-12 20:08:35 main:574] : INFO : Epoch 157 | loss: 0.0530646 | val_loss: 0.0526879 | Time: 6272.51 ms [2020-11-12 20:08:42 main:574] : INFO : Epoch 158 | loss: 0.0525638 | val_loss: 0.0524273 | Time: 6264.07 ms [2020-11-12 20:08:48 main:574] : INFO : Epoch 159 | loss: 0.052254 | val_loss: 0.052145 | Time: 6182 ms [2020-11-12 20:08:54 main:574] : INFO : Epoch 160 | loss: 0.051905 | val_loss: 0.0516885 | Time: 6289.22 ms [2020-11-12 20:09:00 main:574] : INFO : Epoch 161 | loss: 0.0515344 | val_loss: 0.0513671 | Time: 6189.11 ms [2020-11-12 20:09:07 main:574] : INFO : Epoch 162 | loss: 0.0512012 | val_loss: 0.0511157 | Time: 6363.76 ms [2020-11-12 20:09:13 main:574] : INFO : Epoch 163 | loss: 0.0507184 | val_loss: 0.0505442 | Time: 6285.94 ms [2020-11-12 20:09:19 main:574] : INFO : Epoch 164 | loss: 0.0500676 | val_loss: 0.0499676 | Time: 6143.69 ms [2020-11-12 20:09:26 main:574] : INFO : Epoch 165 | loss: 0.0510774 | val_loss: 0.0523058 | Time: 6380.27 ms [2020-11-12 20:09:32 main:574] : INFO : Epoch 166 | loss: 0.0517083 | val_loss: 0.0516178 | Time: 6342.22 ms [2020-11-12 20:09:38 main:574] : INFO : Epoch 167 | loss: 0.051005 | val_loss: 0.0509298 | Time: 6251.12 ms [2020-11-12 20:09:45 main:574] : INFO : Epoch 168 | loss: 0.0504148 | val_loss: 0.0505428 | Time: 6296.52 ms [2020-11-12 20:09:51 main:574] : INFO : Epoch 169 | loss: 0.0501597 | val_loss: 0.0502936 | Time: 6099.65 ms [2020-11-12 20:09:57 main:574] : INFO : Epoch 170 | loss: 0.049651 | val_loss: 0.0494952 | Time: 6167.56 ms [2020-11-12 20:10:03 main:574] : INFO : Epoch 171 | loss: 0.0489393 | val_loss: 0.0489474 | Time: 6277 ms [2020-11-12 20:10:10 main:574] : INFO : Epoch 172 | loss: 0.0506346 | val_loss: 0.0506963 | Time: 6160.27 ms [2020-11-12 20:10:16 main:574] : INFO : Epoch 173 | loss: 0.0503431 | val_loss: 0.0501643 | Time: 6239.52 ms [2020-11-12 20:10:22 main:574] : INFO : Epoch 174 | loss: 0.0499904 | val_loss: 0.0499795 | Time: 6212.37 ms [2020-11-12 20:10:29 main:574] : INFO : Epoch 175 | loss: 0.0494728 | val_loss: 0.0494795 | Time: 6418.28 ms [2020-11-12 20:10:35 main:574] : INFO : Epoch 176 | loss: 0.0490758 | val_loss: 0.0492191 | Time: 6210.28 ms [2020-11-12 20:10:41 main:574] : INFO : Epoch 177 | loss: 0.049297 | val_loss: 0.0501166 | Time: 6356.33 ms [2020-11-12 20:10:48 main:574] : INFO : Epoch 178 | loss: 0.0495771 | val_loss: 0.0496004 | Time: 6325.84 ms [2020-11-12 20:10:54 main:574] : INFO : Epoch 179 | loss: 0.0493547 | val_loss: 0.0493495 | Time: 6361.95 ms [2020-11-12 20:11:00 main:574] : INFO : Epoch 180 | loss: 0.0506264 | val_loss: 0.0512849 | Time: 6237.22 ms [2020-11-12 20:11:07 main:574] : INFO : Epoch 181 | loss: 0.0511263 | val_loss: 0.051113 | Time: 6138.08 ms [2020-11-12 20:11:13 main:574] : INFO : Epoch 182 | loss: 0.0503182 | val_loss: 0.0501217 | Time: 6074.14 ms [2020-11-12 20:11:19 main:574] : INFO : Epoch 183 | loss: 0.049664 | val_loss: 0.0501629 | Time: 6188.82 ms [2020-11-12 20:11:25 main:574] : INFO : Epoch 184 | loss: 0.0504164 | val_loss: 0.0508951 | Time: 6283.51 ms [2020-11-12 20:11:32 main:574] : INFO : Epoch 185 | loss: 0.0504866 | val_loss: 0.0508203 | Time: 6504.99 ms [2020-11-12 20:11:38 main:574] : INFO : Epoch 186 | loss: 0.0503247 | val_loss: 0.0503269 | Time: 6178.69 ms [2020-11-12 20:11:44 main:574] : INFO : Epoch 187 | loss: 0.0499087 | val_loss: 0.0500028 | Time: 6311.83 ms [2020-11-12 20:11:50 main:574] : INFO : Epoch 188 | loss: 0.050022 | val_loss: 0.0501961 | Time: 5961.94 ms [2020-11-12 20:11:57 main:574] : INFO : Epoch 189 | loss: 0.0519859 | val_loss: 0.0526717 | Time: 6341.23 ms [2020-11-12 20:12:03 main:574] : INFO : Epoch 190 | loss: 0.0528064 | val_loss: 0.0532024 | Time: 6285.6 ms [2020-11-12 20:12:09 main:574] : INFO : Epoch 191 | loss: 0.0543443 | val_loss: 0.055348 | Time: 6230.45 ms [2020-11-12 20:12:16 main:574] : INFO : Epoch 192 | loss: 0.0550732 | val_loss: 0.0552064 | Time: 6305.55 ms [2020-11-12 20:12:16 main:597] : INFO : Saving trained model to model-final.pt, val_loss 0.0552064 [2020-11-12 20:12:16 main:603] : INFO : Saving end state to config to file [2020-11-12 20:12:16 main:608] : INFO : Success, exiting.. 20:12:16 (3052): 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)