Task 2824977
| Name | rand_automata_0014-1604983198-28759-0_2 |
| Workunit | 1263700 |
| Created | 10 Nov 2020, 23:31:35 UTC |
| Sent | 10 Nov 2020, 23:43:01 UTC |
| Report deadline | 11 Nov 2020, 22:13:01 UTC |
| Received | 11 Nov 2020, 6:52:06 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 3241 |
| Run time | 28 min 15 sec |
| CPU time | 27 min 49 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 | 1.41 GB |
| Peak swap size | 3.01 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 22:23:43 main:435] : INFO : Set logging level to 1 [2020-11-10 22:23:43 main:441] : INFO : Running in BOINC Client mode [2020-11-10 22:23:43 main:444] : INFO : Resolving all filenames [2020-11-10 22:23:43 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0014-train-val-dataset.hdf5 (exists = 1) [2020-11-10 22:23:43 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0014-1604983198-28759-0_2_r700532828_1 (exists = 0) [2020-11-10 22:23:43 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0014-1604983198-28759-0_2_r700532828_0 (exists = 0) [2020-11-10 22:23:43 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 0) [2020-11-10 22:23:43 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-10 22:23:43 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/rand_automata_0014-train-val-dataset.hdf5 [2020-11-10 22:23:43 main:474] : INFO : Configuration: [2020-11-10 22:23:43 main:475] : INFO : Model type: LSTM [2020-11-10 22:23:43 main:476] : INFO : Validation Loss Threshold: 0.0001 [2020-11-10 22:23:43 main:477] : INFO : Max Epochs: 192 [2020-11-10 22:23:43 main:478] : INFO : Batch Size: 32 [2020-11-10 22:23:43 main:479] : INFO : Learning Rate: 0.001 [2020-11-10 22:23:43 main:480] : INFO : Patience: 10 [2020-11-10 22:23:43 main:481] : INFO : Hidden Width: 64 [2020-11-10 22:23:43 main:482] : INFO : # Recurrent Layers: 4 [2020-11-10 22:23:43 main:483] : INFO : # Backend Layers: 2 [2020-11-10 22:23:43 main:484] : INFO : # Threads: 1 [2020-11-10 22:23:43 main:486] : INFO : Preparing Dataset [2020-11-10 22:23:43 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0014-train-val-dataset.hdf5 into memory [2020-11-10 22:23:43 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0014-train-val-dataset.hdf5 into memory [2020-11-10 22:23:44 load:106] : INFO : Successfully loaded dataset of 4096 examples into memory. [2020-11-10 22:23:44 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0014-train-val-dataset.hdf5 into memory [2020-11-10 22:23:44 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0014-train-val-dataset.hdf5 into memory [2020-11-10 22:23:44 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-10 22:23:44 main:494] : INFO : Creating Model [2020-11-10 22:23:44 main:507] : INFO : Preparing config file [2020-11-10 22:23:44 main:519] : INFO : Creating new config file [2020-11-10 22:23:45 main:559] : INFO : Loading DataLoader into Memory [2020-11-10 22:23:45 main:562] : INFO : Starting Training [2020-11-10 22:23:54 main:574] : INFO : Epoch 1 | loss: 0.0660412 | val_loss: 0.0656937 | Time: 9052.58 ms [2020-11-10 22:24:03 main:574] : INFO : Epoch 2 | loss: 0.0642076 | val_loss: 0.0630558 | Time: 8767.07 ms [2020-11-10 22:24:11 main:574] : INFO : Epoch 3 | loss: 0.0615092 | val_loss: 0.059821 | Time: 8754.69 ms [2020-11-10 22:24:20 main:574] : INFO : Epoch 4 | loss: 0.0584914 | val_loss: 0.057274 | Time: 8784.96 ms [2020-11-10 22:24:29 main:574] : INFO : Epoch 5 | loss: 0.0562489 | val_loss: 0.0553769 | Time: 8796.03 ms [2020-11-10 22:24:38 main:574] : INFO : Epoch 6 | loss: 0.0546338 | val_loss: 0.0539825 | Time: 8766.01 ms [2020-11-10 22:24:46 main:574] : INFO : Epoch 7 | loss: 0.0532553 | val_loss: 0.0526551 | Time: 8768.84 ms [2020-11-10 22:24:55 main:574] : INFO : Epoch 8 | loss: 0.0519628 | val_loss: 0.0514557 | Time: 8786 ms [2020-11-10 22:25:04 main:574] : INFO : Epoch 9 | loss: 0.0505902 | val_loss: 0.0501048 | Time: 8756.82 ms [2020-11-10 22:25:13 main:574] : INFO : Epoch 10 | loss: 0.0491166 | val_loss: 0.048683 | Time: 8811.43 ms [2020-11-10 22:25:22 main:574] : INFO : Epoch 11 | loss: 0.0474801 | val_loss: 0.0466925 | Time: 9039.48 ms [2020-11-10 22:25:31 main:574] : INFO : Epoch 12 | loss: 0.045676 | val_loss: 0.0449471 | Time: 8766.79 ms [2020-11-10 22:25:39 main:574] : INFO : Epoch 13 | loss: 0.0435536 | val_loss: 0.0428462 | Time: 8787.54 ms [2020-11-10 22:25:48 main:574] : INFO : Epoch 14 | loss: 0.0410103 | val_loss: 0.0402406 | Time: 8781.25 ms [2020-11-10 22:25:57 main:574] : INFO : Epoch 15 | loss: 0.0381269 | val_loss: 0.0381391 | Time: 8801.64 ms [2020-11-10 22:26:06 main:574] : INFO : Epoch 16 | loss: 0.0348853 | val_loss: 0.0343617 | Time: 8788.2 ms [2020-11-10 22:26:15 main:574] : INFO : Epoch 17 | loss: 0.0365533 | val_loss: 0.0587529 | Time: 8791.39 ms [2020-11-10 22:26:23 main:574] : INFO : Epoch 18 | loss: 0.0504944 | val_loss: 0.0404624 | Time: 8781.37 ms [2020-11-10 22:26:32 main:574] : INFO : Epoch 19 | loss: 0.0318959 | val_loss: 0.0284854 | Time: 8784.06 ms [2020-11-10 22:26:41 main:574] : INFO : Epoch 20 | loss: 0.0268023 | val_loss: 0.0279254 | Time: 8802.45 ms [2020-11-10 22:26:50 main:574] : INFO : Epoch 21 | loss: 0.0245959 | val_loss: 0.0216834 | Time: 8788.49 ms [2020-11-10 22:26:59 main:574] : INFO : Epoch 22 | loss: 0.0331292 | val_loss: 0.0360385 | Time: 8778.4 ms [2020-11-10 22:27:07 main:574] : INFO : Epoch 23 | loss: 0.0280767 | val_loss: 0.0207453 | Time: 8790.06 ms [2020-11-10 22:27:16 main:574] : INFO : Epoch 24 | loss: 0.0207967 | val_loss: 0.0243312 | Time: 8800.53 ms [2020-11-10 22:27:25 main:574] : INFO : Epoch 25 | loss: 0.035032 | val_loss: 0.0280515 | Time: 8805.44 ms [2020-11-10 22:27:34 main:574] : INFO : Epoch 26 | loss: 0.0180892 | val_loss: 0.0154421 | Time: 8805.62 ms [2020-11-10 22:27:43 main:574] : INFO : Epoch 27 | loss: 0.0145612 | val_loss: 0.0126809 | Time: 8791.44 ms [2020-11-10 22:27:52 main:574] : INFO : Epoch 28 | loss: 0.0134329 | val_loss: 0.0129581 | Time: 8816.68 ms [2020-11-10 22:28:01 main:574] : INFO : Epoch 29 | loss: 0.0118333 | val_loss: 0.0106614 | Time: 9116.09 ms [2020-11-10 22:28:09 main:574] : INFO : Epoch 30 | loss: 0.00999029 | val_loss: 0.0109588 | Time: 8823.58 ms [2020-11-10 22:28:18 main:574] : INFO : Epoch 31 | loss: 0.0112247 | val_loss: 0.00957892 | Time: 8806.7 ms [2020-11-10 22:28:27 main:574] : INFO : Epoch 32 | loss: 0.0090118 | val_loss: 0.00899352 | Time: 8810.03 ms [2020-11-10 22:28:36 main:574] : INFO : Epoch 33 | loss: 0.00871358 | val_loss: 0.00862303 | Time: 8830.72 ms [2020-11-10 22:28:45 main:574] : INFO : Epoch 34 | loss: 0.00815174 | val_loss: 0.0081793 | Time: 8803.37 ms [2020-11-10 22:28:54 main:574] : INFO : Epoch 35 | loss: 0.00782447 | val_loss: 0.00791456 | Time: 8792.11 ms [2020-11-10 22:29:03 main:574] : INFO : Epoch 36 | loss: 0.00752295 | val_loss: 0.0075711 | Time: 9075.06 ms [2020-11-10 22:29:11 main:574] : INFO : Epoch 37 | loss: 0.00723453 | val_loss: 0.00725951 | Time: 8800.11 ms [2020-11-10 22:29:20 main:574] : INFO : Epoch 38 | loss: 0.00698152 | val_loss: 0.00699824 | Time: 8805.38 ms [2020-11-10 22:29:29 main:574] : INFO : Epoch 39 | loss: 0.00672765 | val_loss: 0.00672109 | Time: 8804.73 ms [2020-11-10 22:29:38 main:574] : INFO : Epoch 40 | loss: 0.00648368 | val_loss: 0.00648078 | Time: 8796.88 ms [2020-11-10 22:29:47 main:574] : INFO : Epoch 41 | loss: 0.00625144 | val_loss: 0.00623383 | Time: 8781.81 ms [2020-11-10 22:29:56 main:574] : INFO : Epoch 42 | loss: 0.00602796 | val_loss: 0.00600301 | Time: 8800.38 ms [2020-11-10 22:30:04 main:574] : INFO : Epoch 43 | loss: 0.0058101 | val_loss: 0.00578389 | Time: 8796.26 ms [2020-11-10 22:30:13 main:574] : INFO : Epoch 44 | loss: 0.00559346 | val_loss: 0.00556686 | Time: 8812.94 ms [2020-11-10 22:30:22 main:574] : INFO : Epoch 45 | loss: 0.0053845 | val_loss: 0.00535777 | Time: 8808.18 ms [2020-11-10 22:30:31 main:574] : INFO : Epoch 46 | loss: 0.0051841 | val_loss: 0.00514201 | Time: 8818.04 ms [2020-11-10 22:30:40 main:574] : INFO : Epoch 47 | loss: 0.00516429 | val_loss: 0.00533011 | Time: 8785.38 ms [2020-11-10 22:30:48 main:574] : INFO : Epoch 48 | loss: 0.00485672 | val_loss: 0.00475952 | Time: 8784.59 ms [2020-11-10 22:30:57 main:574] : INFO : Epoch 49 | loss: 0.00461751 | val_loss: 0.004569 | Time: 8806.12 ms [2020-11-10 22:31:06 main:574] : INFO : Epoch 50 | loss: 0.00443689 | val_loss: 0.00438841 | Time: 8791.91 ms [2020-11-10 22:31:15 main:574] : INFO : Epoch 51 | loss: 0.00426481 | val_loss: 0.00421705 | Time: 8785.38 ms [2020-11-10 22:31:24 main:574] : INFO : Epoch 52 | loss: 0.00410059 | val_loss: 0.00405811 | Time: 8773.94 ms [2020-11-10 22:31:32 main:574] : INFO : Epoch 53 | loss: 0.00394029 | val_loss: 0.00389502 | Time: 8801.37 ms [2020-11-10 22:31:41 main:574] : INFO : Epoch 54 | loss: 0.00378656 | val_loss: 0.00374514 | Time: 8801.42 ms [2020-11-10 22:31:50 main:574] : INFO : Epoch 55 | loss: 0.00363744 | val_loss: 0.00359473 | Time: 8792.98 ms [2020-11-10 22:31:59 main:574] : INFO : Epoch 56 | loss: 0.00349445 | val_loss: 0.00345428 | Time: 8808.43 ms [2020-11-10 22:32:08 main:574] : INFO : Epoch 57 | loss: 0.00335576 | val_loss: 0.00331139 | Time: 8788.13 ms [2020-11-10 22:32:16 main:574] : INFO : Epoch 58 | loss: 0.00322305 | val_loss: 0.00318628 | Time: 8797.79 ms [2020-11-10 22:32:25 main:574] : INFO : Epoch 59 | loss: 0.00309614 | val_loss: 0.00305927 | Time: 8799.91 ms [2020-11-10 22:32:34 main:574] : INFO : Epoch 60 | loss: 0.00297399 | val_loss: 0.00294087 | Time: 8791.14 ms [2020-11-10 22:32:43 main:574] : INFO : Epoch 61 | loss: 0.00285609 | val_loss: 0.00281897 | Time: 8787.79 ms [2020-11-10 22:32:52 main:574] : INFO : Epoch 62 | loss: 0.00274301 | val_loss: 0.00270864 | Time: 8776.31 ms [2020-11-10 22:33:00 main:574] : INFO : Epoch 63 | loss: 0.00263413 | val_loss: 0.00259947 | Time: 8780.61 ms [2020-11-10 22:33:09 main:574] : INFO : Epoch 64 | loss: 0.00252945 | val_loss: 0.00249398 | Time: 8790.45 ms [2020-11-10 22:33:18 main:574] : INFO : Epoch 65 | loss: 0.00242913 | val_loss: 0.00239608 | Time: 8791.5 ms [2020-11-10 22:33:27 main:574] : INFO : Epoch 66 | loss: 0.0023339 | val_loss: 0.00230242 | Time: 8787.21 ms [2020-11-10 22:33:36 main:574] : INFO : Epoch 67 | loss: 0.00224093 | val_loss: 0.00220985 | Time: 8774.9 ms [2020-11-10 22:33:44 main:574] : INFO : Epoch 68 | loss: 0.00215247 | val_loss: 0.00212377 | Time: 8789.67 ms [2020-11-10 22:33:53 main:574] : INFO : Epoch 69 | loss: 0.00206705 | val_loss: 0.00204158 | Time: 8785.82 ms [2020-11-10 22:34:02 main:574] : INFO : Epoch 70 | loss: 0.00198533 | val_loss: 0.00196162 | Time: 8788.95 ms [2020-11-10 22:34:11 main:574] : INFO : Epoch 71 | loss: 0.001907 | val_loss: 0.00188378 | Time: 8786.77 ms [2020-11-10 22:34:20 main:574] : INFO : Epoch 72 | loss: 0.00183204 | val_loss: 0.00180936 | Time: 8770.2 ms [2020-11-10 22:34:28 main:574] : INFO : Epoch 73 | loss: 0.00175903 | val_loss: 0.00173996 | Time: 8793.61 ms [2020-11-10 22:34:37 main:574] : INFO : Epoch 74 | loss: 0.00168991 | val_loss: 0.0016719 | Time: 8793.59 ms [2020-11-10 22:34:46 main:574] : INFO : Epoch 75 | loss: 0.00162251 | val_loss: 0.00160102 | Time: 8782.36 ms [2020-11-10 22:34:55 main:574] : INFO : Epoch 76 | loss: 0.00155715 | val_loss: 0.00153825 | Time: 8774.68 ms [2020-11-10 22:35:04 main:574] : INFO : Epoch 77 | loss: 0.0014947 | val_loss: 0.00148117 | Time: 8785.26 ms [2020-11-10 22:35:12 main:574] : INFO : Epoch 78 | loss: 0.00143567 | val_loss: 0.00141933 | Time: 8786.59 ms [2020-11-10 22:35:21 main:574] : INFO : Epoch 79 | loss: 0.00137762 | val_loss: 0.00136442 | Time: 8776.85 ms [2020-11-10 22:35:30 main:574] : INFO : Epoch 80 | loss: 0.00132434 | val_loss: 0.00131234 | Time: 8762.27 ms [2020-11-10 22:35:39 main:574] : INFO : Epoch 81 | loss: 0.00127125 | val_loss: 0.00125765 | Time: 8778.94 ms [2020-11-10 22:35:47 main:574] : INFO : Epoch 82 | loss: 0.00122114 | val_loss: 0.00121001 | Time: 8756.93 ms [2020-11-10 22:35:56 main:574] : INFO : Epoch 83 | loss: 0.00117259 | val_loss: 0.0011619 | Time: 8764.28 ms [2020-11-10 22:36:05 main:574] : INFO : Epoch 84 | loss: 0.00112637 | val_loss: 0.0011229 | Time: 8773.95 ms [2020-11-10 22:36:14 main:574] : INFO : Epoch 85 | loss: 0.0010823 | val_loss: 0.00107751 | Time: 8766.44 ms [2020-11-10 22:36:23 main:574] : INFO : Epoch 86 | loss: 0.00103951 | val_loss: 0.00103421 | Time: 8752.28 ms [2020-11-10 22:36:31 main:574] : INFO : Epoch 87 | loss: 0.00100002 | val_loss: 0.000994975 | Time: 8766.1 ms [2020-11-10 22:36:40 main:574] : INFO : Epoch 88 | loss: 0.000960524 | val_loss: 0.00095948 | Time: 8791.86 ms [2020-11-10 22:36:49 main:574] : INFO : Epoch 89 | loss: 0.000924406 | val_loss: 0.000919865 | Time: 8768.16 ms [2020-11-10 22:36:58 main:574] : INFO : Epoch 90 | loss: 0.000889773 | val_loss: 0.000890045 | Time: 8789.06 ms [2020-11-10 22:37:06 main:574] : INFO : Epoch 91 | loss: 0.000856982 | val_loss: 0.000854196 | Time: 8775.52 ms [2020-11-10 22:37:15 main:574] : INFO : Epoch 92 | loss: 0.000824674 | val_loss: 0.000823623 | Time: 8771.62 ms [2020-11-10 22:37:24 main:574] : INFO : Epoch 93 | loss: 0.000794604 | val_loss: 0.000792798 | Time: 8770.82 ms [2020-11-10 22:37:33 main:574] : INFO : Epoch 94 | loss: 0.000764822 | val_loss: 0.000766071 | Time: 8779.52 ms [2020-11-10 22:37:42 main:574] : INFO : Epoch 95 | loss: 0.000738388 | val_loss: 0.000736327 | Time: 8795.65 ms [2020-11-10 22:37:50 main:574] : INFO : Epoch 96 | loss: 0.000711702 | val_loss: 0.000712851 | Time: 8781.63 ms [2020-11-10 22:37:59 main:574] : INFO : Epoch 97 | loss: 0.000687611 | val_loss: 0.00069004 | Time: 8799.24 ms [2020-11-10 22:38:08 main:574] : INFO : Epoch 98 | loss: 0.000664133 | val_loss: 0.000664061 | Time: 8794.91 ms [2020-11-10 22:38:17 main:574] : INFO : Epoch 99 | loss: 0.00064072 | val_loss: 0.000642527 | Time: 8780.13 ms [2020-11-10 22:38:26 main:574] : INFO : Epoch 100 | loss: 0.000619139 | val_loss: 0.000619592 | Time: 8793.04 ms [2020-11-10 22:38:34 main:574] : INFO : Epoch 101 | loss: 0.00059929 | val_loss: 0.000607852 | Time: 8791.31 ms [2020-11-10 22:38:43 main:574] : INFO : Epoch 102 | loss: 0.000580272 | val_loss: 0.000580189 | Time: 8800.74 ms [2020-11-10 22:38:52 main:574] : INFO : Epoch 103 | loss: 0.000560464 | val_loss: 0.000561947 | Time: 8783.27 ms [2020-11-10 22:39:01 main:574] : INFO : Epoch 104 | loss: 0.000543244 | val_loss: 0.000544715 | Time: 8786.82 ms [2020-11-10 22:39:10 main:574] : INFO : Epoch 105 | loss: 0.000527276 | val_loss: 0.00052684 | Time: 8781.2 ms [2020-11-10 22:39:18 main:574] : INFO : Epoch 106 | loss: 0.000509795 | val_loss: 0.000511962 | Time: 8783.37 ms [2020-11-10 22:39:27 main:574] : INFO : Epoch 107 | loss: 0.000495529 | val_loss: 0.000497346 | Time: 8779.13 ms [2020-11-10 22:39:36 main:574] : INFO : Epoch 108 | loss: 0.000479941 | val_loss: 0.000481538 | Time: 8780.31 ms [2020-11-10 22:39:45 main:574] : INFO : Epoch 109 | loss: 0.000465792 | val_loss: 0.000471427 | Time: 8772.81 ms [2020-11-10 22:39:54 main:574] : INFO : Epoch 110 | loss: 0.000452634 | val_loss: 0.000455881 | Time: 8761.88 ms [2020-11-10 22:40:02 main:574] : INFO : Epoch 111 | loss: 0.000440148 | val_loss: 0.000441054 | Time: 8757.8 ms [2020-11-10 22:40:11 main:574] : INFO : Epoch 112 | loss: 0.000427136 | val_loss: 0.00043074 | Time: 8766.74 ms [2020-11-10 22:40:20 main:574] : INFO : Epoch 113 | loss: 0.000415749 | val_loss: 0.000418023 | Time: 8763.49 ms [2020-11-10 22:40:29 main:574] : INFO : Epoch 114 | loss: 0.00040408 | val_loss: 0.000406802 | Time: 8756.36 ms [2020-11-10 22:40:37 main:574] : INFO : Epoch 115 | loss: 0.000392955 | val_loss: 0.000400455 | Time: 8785.82 ms [2020-11-10 22:40:46 main:574] : INFO : Epoch 116 | loss: 0.000383432 | val_loss: 0.000389811 | Time: 8792.79 ms [2020-11-10 22:40:55 main:574] : INFO : Epoch 117 | loss: 0.000372788 | val_loss: 0.000377142 | Time: 8784.8 ms [2020-11-10 22:41:04 main:574] : INFO : Epoch 118 | loss: 0.000363199 | val_loss: 0.000367504 | Time: 8796.88 ms [2020-11-10 22:41:13 main:574] : INFO : Epoch 119 | loss: 0.00035368 | val_loss: 0.000359156 | Time: 8799.36 ms [2020-11-10 22:41:21 main:574] : INFO : Epoch 120 | loss: 0.000345234 | val_loss: 0.000347938 | Time: 8772.02 ms [2020-11-10 22:41:30 main:574] : INFO : Epoch 121 | loss: 0.000336769 | val_loss: 0.000338693 | Time: 8778.41 ms [2020-11-10 22:41:39 main:574] : INFO : Epoch 122 | loss: 0.00032859 | val_loss: 0.00033344 | Time: 8793.59 ms [2020-11-10 22:41:48 main:574] : INFO : Epoch 123 | loss: 0.000320607 | val_loss: 0.000327045 | Time: 8789.65 ms [2020-11-10 22:41:57 main:574] : INFO : Epoch 124 | loss: 0.000312852 | val_loss: 0.000315417 | Time: 8783.04 ms [2020-11-10 22:42:05 main:574] : INFO : Epoch 125 | loss: 0.000305688 | val_loss: 0.00030817 | Time: 8772.43 ms [2020-11-10 22:42:14 main:574] : INFO : Epoch 126 | loss: 0.000298404 | val_loss: 0.00030245 | Time: 8795.83 ms [2020-11-10 22:42:23 main:574] : INFO : Epoch 127 | loss: 0.000291402 | val_loss: 0.000294369 | Time: 8786.51 ms [2020-11-10 22:42:32 main:574] : INFO : Epoch 128 | loss: 0.000284659 | val_loss: 0.000288856 | Time: 8773.27 ms [2020-11-10 22:42:41 main:574] : INFO : Epoch 129 | loss: 0.000278486 | val_loss: 0.000283962 | Time: 8780.69 ms [2020-11-10 22:42:49 main:574] : INFO : Epoch 130 | loss: 0.000272062 | val_loss: 0.000278071 | Time: 8776.51 ms [2020-11-10 22:42:58 main:574] : INFO : Epoch 131 | loss: 0.00026692 | val_loss: 0.0002708 | Time: 9067.01 ms [2020-11-10 22:43:07 main:574] : INFO : Epoch 132 | loss: 0.000261067 | val_loss: 0.000269509 | Time: 8793.08 ms [2020-11-10 22:43:16 main:574] : INFO : Epoch 133 | loss: 0.00025512 | val_loss: 0.000260119 | Time: 8794.33 ms [2020-11-10 22:43:25 main:574] : INFO : Epoch 134 | loss: 0.000249864 | val_loss: 0.000255006 | Time: 8800.65 ms [2020-11-10 22:43:34 main:574] : INFO : Epoch 135 | loss: 0.000245138 | val_loss: 0.00024867 | Time: 8775.9 ms [2020-11-10 22:43:42 main:574] : INFO : Epoch 136 | loss: 0.000240032 | val_loss: 0.000243593 | Time: 8779.28 ms [2020-11-10 22:43:51 main:574] : INFO : Epoch 137 | loss: 0.000235356 | val_loss: 0.000239244 | Time: 8780.87 ms [2020-11-10 22:44:00 main:574] : INFO : Epoch 138 | loss: 0.000230694 | val_loss: 0.00023721 | Time: 8787.77 ms [2020-11-10 22:44:09 main:574] : INFO : Epoch 139 | loss: 0.000226815 | val_loss: 0.000229885 | Time: 8805.52 ms [2020-11-10 22:44:18 main:574] : INFO : Epoch 140 | loss: 0.000222487 | val_loss: 0.000227691 | Time: 8791.6 ms [2020-11-10 22:44:26 main:574] : INFO : Epoch 141 | loss: 0.000217656 | val_loss: 0.000222175 | Time: 8775.75 ms [2020-11-10 22:44:35 main:574] : INFO : Epoch 142 | loss: 0.000214283 | val_loss: 0.00022003 | Time: 8777.17 ms [2020-11-10 22:44:44 main:574] : INFO : Epoch 143 | loss: 0.000210949 | val_loss: 0.000213533 | Time: 8783.53 ms [2020-11-10 22:44:53 main:574] : INFO : Epoch 144 | loss: 0.000206827 | val_loss: 0.000210669 | Time: 8783.02 ms [2020-11-10 22:45:02 main:574] : INFO : Epoch 145 | loss: 0.000203518 | val_loss: 0.000207438 | Time: 8794.32 ms [2020-11-10 22:45:10 main:574] : INFO : Epoch 146 | loss: 0.000199061 | val_loss: 0.000204894 | Time: 8776.71 ms [2020-11-10 22:45:19 main:574] : INFO : Epoch 147 | loss: 0.000196562 | val_loss: 0.000199421 | Time: 8791.79 ms [2020-11-10 22:45:28 main:574] : INFO : Epoch 148 | loss: 0.000192955 | val_loss: 0.000198075 | Time: 8782.28 ms [2020-11-10 22:45:37 main:574] : INFO : Epoch 149 | loss: 0.00018943 | val_loss: 0.000195811 | Time: 8792.85 ms [2020-11-10 22:45:46 main:574] : INFO : Epoch 150 | loss: 0.000186548 | val_loss: 0.000191761 | Time: 8793.47 ms [2020-11-10 22:45:54 main:574] : INFO : Epoch 151 | loss: 0.000184045 | val_loss: 0.000191092 | Time: 8795 ms [2020-11-10 22:46:03 main:574] : INFO : Epoch 152 | loss: 0.00018156 | val_loss: 0.000185326 | Time: 8795.96 ms [2020-11-10 22:46:12 main:574] : INFO : Epoch 153 | loss: 0.000177924 | val_loss: 0.000181784 | Time: 8793.24 ms [2020-11-10 22:46:21 main:574] : INFO : Epoch 154 | loss: 0.000175219 | val_loss: 0.00018011 | Time: 8786.69 ms [2020-11-10 22:46:30 main:574] : INFO : Epoch 155 | loss: 0.000173433 | val_loss: 0.00017662 | Time: 8793.84 ms [2020-11-10 22:46:38 main:574] : INFO : Epoch 156 | loss: 0.000170847 | val_loss: 0.000174303 | Time: 8779.84 ms [2020-11-10 22:46:47 main:574] : INFO : Epoch 157 | loss: 0.000168126 | val_loss: 0.000172254 | Time: 8787.49 ms [2020-11-10 22:46:56 main:574] : INFO : Epoch 158 | loss: 0.000165638 | val_loss: 0.000170385 | Time: 8778.46 ms [2020-11-10 22:47:05 main:574] : INFO : Epoch 159 | loss: 0.000163225 | val_loss: 0.000166817 | Time: 8785.3 ms [2020-11-10 22:47:14 main:574] : INFO : Epoch 160 | loss: 0.00017935 | val_loss: 0.000167199 | Time: 8790.55 ms [2020-11-10 22:47:22 main:574] : INFO : Epoch 161 | loss: 0.000158447 | val_loss: 0.000163319 | Time: 8787.7 ms [2020-11-10 22:47:31 main:574] : INFO : Epoch 162 | loss: 0.000156473 | val_loss: 0.000161426 | Time: 8768.71 ms [2020-11-10 22:47:40 main:574] : INFO : Epoch 163 | loss: 0.000154166 | val_loss: 0.000159926 | Time: 8785.01 ms [2020-11-10 22:47:49 main:574] : INFO : Epoch 164 | loss: 0.000152316 | val_loss: 0.000157863 | Time: 8804.35 ms [2020-11-10 22:47:58 main:574] : INFO : Epoch 165 | loss: 0.000150439 | val_loss: 0.000155199 | Time: 8788.08 ms [2020-11-10 22:48:06 main:574] : INFO : Epoch 166 | loss: 0.000148818 | val_loss: 0.000153591 | Time: 8787.24 ms [2020-11-10 22:48:15 main:574] : INFO : Epoch 167 | loss: 0.000147712 | val_loss: 0.000151908 | Time: 8796.94 ms [2020-11-10 22:48:24 main:574] : INFO : Epoch 168 | loss: 0.000145197 | val_loss: 0.00015063 | Time: 8789.53 ms [2020-11-10 22:48:33 main:574] : INFO : Epoch 169 | loss: 0.000143396 | val_loss: 0.00014879 | Time: 8788.92 ms [2020-11-10 22:48:42 main:574] : INFO : Epoch 170 | loss: 0.000142143 | val_loss: 0.000146981 | Time: 8778.61 ms [2020-11-10 22:48:50 main:574] : INFO : Epoch 171 | loss: 0.0001402 | val_loss: 0.000144808 | Time: 8784.93 ms [2020-11-10 22:48:59 main:574] : INFO : Epoch 172 | loss: 0.000138369 | val_loss: 0.000143452 | Time: 8781.27 ms [2020-11-10 22:49:08 main:574] : INFO : Epoch 173 | loss: 0.000137308 | val_loss: 0.000141828 | Time: 8779.76 ms [2020-11-10 22:49:17 main:574] : INFO : Epoch 174 | loss: 0.000135505 | val_loss: 0.000139839 | Time: 8793.74 ms [2020-11-10 22:49:25 main:574] : INFO : Epoch 175 | loss: 0.000134101 | val_loss: 0.000138439 | Time: 8779.25 ms [2020-11-10 22:49:34 main:574] : INFO : Epoch 176 | loss: 0.000132535 | val_loss: 0.000136459 | Time: 8788.71 ms [2020-11-10 22:49:43 main:574] : INFO : Epoch 177 | loss: 0.000130947 | val_loss: 0.000135297 | Time: 8769.81 ms [2020-11-10 22:49:52 main:574] : INFO : Epoch 178 | loss: 0.000129264 | val_loss: 0.000134038 | Time: 8776.87 ms [2020-11-10 22:50:01 main:574] : INFO : Epoch 179 | loss: 0.000129654 | val_loss: 0.000132752 | Time: 8788.26 ms [2020-11-10 22:50:09 main:574] : INFO : Epoch 180 | loss: 0.00012668 | val_loss: 0.000131957 | Time: 8778.48 ms [2020-11-10 22:50:18 main:574] : INFO : Epoch 181 | loss: 0.000125228 | val_loss: 0.000133532 | Time: 8788.47 ms [2020-11-10 22:50:27 main:574] : INFO : Epoch 182 | loss: 0.000124153 | val_loss: 0.000131616 | Time: 8786.74 ms [2020-11-10 22:50:36 main:574] : INFO : Epoch 183 | loss: 0.00012298 | val_loss: 0.000127164 | Time: 8784.8 ms [2020-11-10 22:50:45 main:574] : INFO : Epoch 184 | loss: 0.000121958 | val_loss: 0.000126369 | Time: 8791.81 ms [2020-11-10 22:50:53 main:574] : INFO : Epoch 185 | loss: 0.000120512 | val_loss: 0.00012584 | Time: 8798.6 ms [2020-11-10 22:51:02 main:574] : INFO : Epoch 186 | loss: 0.000118811 | val_loss: 0.000123465 | Time: 8787.09 ms [2020-11-10 22:51:11 main:574] : INFO : Epoch 187 | loss: 0.000118026 | val_loss: 0.000121667 | Time: 8793.32 ms [2020-11-10 22:51:20 main:574] : INFO : Epoch 188 | loss: 0.0001168 | val_loss: 0.000122529 | Time: 8774.02 ms [2020-11-10 22:51:29 main:574] : INFO : Epoch 189 | loss: 0.000115415 | val_loss: 0.000121328 | Time: 8792.57 ms [2020-11-10 22:51:37 main:574] : INFO : Epoch 190 | loss: 0.000114547 | val_loss: 0.000117791 | Time: 8800.7 ms [2020-11-10 22:51:46 main:574] : INFO : Epoch 191 | loss: 0.000113495 | val_loss: 0.000118283 | Time: 8794.85 ms [2020-11-10 22:51:55 main:574] : INFO : Epoch 192 | loss: 0.000112014 | val_loss: 0.000117761 | Time: 8773.9 ms [2020-11-10 22:51:55 main:597] : INFO : Saving trained model to model-final.pt, val_loss 0.000117761 [2020-11-10 22:51:55 main:603] : INFO : Saving end state to config to file [2020-11-10 22:51:55 main:608] : INFO : Success, exiting.. 22:51:55 (12708): 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)