| Name | rand_automata_0054-1604947874-32391-0_1 |
| Workunit | 1259628 |
| Created | 9 Nov 2020, 19:00:31 UTC |
| Sent | 9 Nov 2020, 19:02:06 UTC |
| Report deadline | 10 Nov 2020, 17:32:06 UTC |
| Received | 10 Nov 2020, 6:52:53 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 596 |
| Run time | 51 min 13 sec |
| CPU time | 49 min 50 sec |
| Validate state | Valid |
| Credit | 959.40 |
| Device peak FLOPS | 7,315.00 GFLOPS |
| Application version | Machine Learning Dataset Generator (test) v9.75 (cuda10200) windows_x86_64 |
| Peak working set size | 1.98 GB |
| Peak swap size | 3.93 GB |
| Peak disk usage | 1.54 GB |
<core_client_version>7.14.2</core_client_version> <![CDATA[ <stderr_txt> Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: GeForce RTX 2060 SUPER) [2020-11-10 07:01:32 main:435] : INFO : Set logging level to 1 [2020-11-10 07:01:32 main:441] : INFO : Running in BOINC Client mode [2020-11-10 07:01:32 main:444] : INFO : Resolving all filenames [2020-11-10 07:01:32 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0054-train-val-dataset.hdf5 (exists = 1) [2020-11-10 07:01:32 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0054-1604947874-32391-0_1_r1381060884_1 (exists = 0) [2020-11-10 07:01:32 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0054-1604947874-32391-0_1_r1381060884_0 (exists = 0) [2020-11-10 07:01:32 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 0) [2020-11-10 07:01:32 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-10 07:01:32 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/rand_automata_0054-train-val-dataset.hdf5 [2020-11-10 07:01:32 main:474] : INFO : Configuration: [2020-11-10 07:01:32 main:475] : INFO : Model type: LSTM [2020-11-10 07:01:32 main:476] : INFO : Validation Loss Threshold: 0.0001 [2020-11-10 07:01:32 main:477] : INFO : Max Epochs: 192 [2020-11-10 07:01:32 main:478] : INFO : Batch Size: 32 [2020-11-10 07:01:32 main:479] : INFO : Learning Rate: 0.001 [2020-11-10 07:01:32 main:480] : INFO : Patience: 10 [2020-11-10 07:01:32 main:481] : INFO : Hidden Width: 64 [2020-11-10 07:01:32 main:482] : INFO : # Recurrent Layers: 4 [2020-11-10 07:01:32 main:483] : INFO : # Backend Layers: 2 [2020-11-10 07:01:32 main:484] : INFO : # Threads: 1 [2020-11-10 07:01:32 main:486] : INFO : Preparing Dataset [2020-11-10 07:01:32 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0054-train-val-dataset.hdf5 into memory [2020-11-10 07:01:32 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0054-train-val-dataset.hdf5 into memory [2020-11-10 07:01:39 load:106] : INFO : Successfully loaded dataset of 4096 examples into memory. [2020-11-10 07:01:39 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0054-train-val-dataset.hdf5 into memory [2020-11-10 07:01:39 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0054-train-val-dataset.hdf5 into memory [2020-11-10 07:01:39 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-10 07:01:39 main:494] : INFO : Creating Model [2020-11-10 07:01:39 main:507] : INFO : Preparing config file [2020-11-10 07:01:39 main:519] : INFO : Creating new config file [2020-11-10 07:01:44 main:559] : INFO : Loading DataLoader into Memory [2020-11-10 07:01:44 main:562] : INFO : Starting Training [2020-11-10 07:02:01 main:574] : INFO : Epoch 1 | loss: 0.0661813 | val_loss: 0.0658123 | Time: 16950.5 ms [2020-11-10 07:02:17 main:574] : INFO : Epoch 2 | loss: 0.0644867 | val_loss: 0.0627597 | Time: 15744.9 ms [2020-11-10 07:02:33 main:574] : INFO : Epoch 3 | loss: 0.0613724 | val_loss: 0.0598537 | Time: 15692.2 ms [2020-11-10 07:02:48 main:574] : INFO : Epoch 4 | loss: 0.0585344 | val_loss: 0.0575766 | Time: 15710.4 ms [2020-11-10 07:03:04 main:574] : INFO : Epoch 5 | loss: 0.0566585 | val_loss: 0.0559989 | Time: 15633.1 ms [2020-11-10 07:03:20 main:574] : INFO : Epoch 6 | loss: 0.0553191 | val_loss: 0.0549635 | Time: 15976.8 ms [2020-11-10 07:03:36 main:574] : INFO : Epoch 7 | loss: 0.0542133 | val_loss: 0.0537617 | Time: 15952.5 ms [2020-11-10 07:03:52 main:574] : INFO : Epoch 8 | loss: 0.053135 | val_loss: 0.0528114 | Time: 15968.1 ms [2020-11-10 07:04:08 main:574] : INFO : Epoch 9 | loss: 0.0521721 | val_loss: 0.0518449 | Time: 15756.8 ms [2020-11-10 07:04:24 main:574] : INFO : Epoch 10 | loss: 0.0511951 | val_loss: 0.0508315 | Time: 15695 ms [2020-11-10 07:04:40 main:574] : INFO : Epoch 11 | loss: 0.0502314 | val_loss: 0.0498841 | Time: 16058.6 ms [2020-11-10 07:04:56 main:574] : INFO : Epoch 12 | loss: 0.0492447 | val_loss: 0.0489268 | Time: 15904.3 ms [2020-11-10 07:05:11 main:574] : INFO : Epoch 13 | loss: 0.0481731 | val_loss: 0.0478682 | Time: 15781 ms [2020-11-10 07:05:27 main:574] : INFO : Epoch 14 | loss: 0.0470361 | val_loss: 0.0468214 | Time: 15810.6 ms [2020-11-10 07:05:43 main:574] : INFO : Epoch 15 | loss: 0.045712 | val_loss: 0.0454001 | Time: 15735.8 ms [2020-11-10 07:05:59 main:574] : INFO : Epoch 16 | loss: 0.0442263 | val_loss: 0.0438002 | Time: 15806.1 ms [2020-11-10 07:06:15 main:574] : INFO : Epoch 17 | loss: 0.0424024 | val_loss: 0.0422399 | Time: 15641.1 ms [2020-11-10 07:06:31 main:574] : INFO : Epoch 18 | loss: 0.040206 | val_loss: 0.0396625 | Time: 15922.6 ms [2020-11-10 07:06:46 main:574] : INFO : Epoch 19 | loss: 0.0375552 | val_loss: 0.0371727 | Time: 15760.3 ms [2020-11-10 07:07:02 main:574] : INFO : Epoch 20 | loss: 0.0345276 | val_loss: 0.0344842 | Time: 15802.4 ms [2020-11-10 07:07:18 main:574] : INFO : Epoch 21 | loss: 0.0316457 | val_loss: 0.0317681 | Time: 15731.4 ms [2020-11-10 07:07:34 main:574] : INFO : Epoch 22 | loss: 0.0285554 | val_loss: 0.0303648 | Time: 15872.5 ms [2020-11-10 07:07:50 main:574] : INFO : Epoch 23 | loss: 0.0253877 | val_loss: 0.0279065 | Time: 15909.2 ms [2020-11-10 07:08:06 main:574] : INFO : Epoch 24 | loss: 0.0495338 | val_loss: 0.0408733 | Time: 15766 ms [2020-11-10 07:08:22 main:574] : INFO : Epoch 25 | loss: 0.0283437 | val_loss: 0.0215118 | Time: 15966.9 ms [2020-11-10 07:08:38 main:574] : INFO : Epoch 26 | loss: 0.020652 | val_loss: 0.021082 | Time: 15971.7 ms [2020-11-10 07:08:54 main:574] : INFO : Epoch 27 | loss: 0.0186146 | val_loss: 0.0193061 | Time: 15905.7 ms [2020-11-10 07:09:09 main:574] : INFO : Epoch 28 | loss: 0.0213971 | val_loss: 0.0270316 | Time: 15858.6 ms [2020-11-10 07:09:25 main:574] : INFO : Epoch 29 | loss: 0.0198771 | val_loss: 0.0151064 | Time: 15868.8 ms [2020-11-10 07:09:41 main:574] : INFO : Epoch 30 | loss: 0.027508 | val_loss: 0.0177804 | Time: 15919.6 ms [2020-11-10 07:09:57 main:574] : INFO : Epoch 31 | loss: 0.0139124 | val_loss: 0.0145578 | Time: 15764.5 ms [2020-11-10 07:10:13 main:574] : INFO : Epoch 32 | loss: 0.0203729 | val_loss: 0.0158937 | Time: 15790.1 ms [2020-11-10 07:10:29 main:574] : INFO : Epoch 33 | loss: 0.0119651 | val_loss: 0.0148549 | Time: 15842.1 ms [2020-11-10 07:10:45 main:574] : INFO : Epoch 34 | loss: 0.0183191 | val_loss: 0.0545425 | Time: 15788.4 ms [2020-11-10 07:11:00 main:574] : INFO : Epoch 35 | loss: 0.028695 | val_loss: 0.0150262 | Time: 15747.3 ms [2020-11-10 07:11:16 main:574] : INFO : Epoch 36 | loss: 0.01193 | val_loss: 0.0109432 | Time: 15819.5 ms [2020-11-10 07:11:32 main:574] : INFO : Epoch 37 | loss: 0.0100746 | val_loss: 0.0107082 | Time: 15837.8 ms [2020-11-10 07:11:48 main:574] : INFO : Epoch 38 | loss: 0.0150327 | val_loss: 0.0124366 | Time: 15890.2 ms [2020-11-10 07:12:04 main:574] : INFO : Epoch 39 | loss: 0.00993784 | val_loss: 0.00949558 | Time: 15721 ms [2020-11-10 07:12:20 main:574] : INFO : Epoch 40 | loss: 0.00893005 | val_loss: 0.00894163 | Time: 15981.8 ms [2020-11-10 07:12:36 main:574] : INFO : Epoch 41 | loss: 0.00848887 | val_loss: 0.00856589 | Time: 15788.8 ms [2020-11-10 07:12:52 main:574] : INFO : Epoch 42 | loss: 0.00817187 | val_loss: 0.00842172 | Time: 15913.7 ms [2020-11-10 07:13:08 main:574] : INFO : Epoch 43 | loss: 0.0523518 | val_loss: 0.0609343 | Time: 15913.5 ms [2020-11-10 07:13:24 main:574] : INFO : Epoch 44 | loss: 0.0604757 | val_loss: 0.0602953 | Time: 16092.2 ms [2020-11-10 07:13:40 main:574] : INFO : Epoch 45 | loss: 0.0599564 | val_loss: 0.0598319 | Time: 15956.3 ms [2020-11-10 07:13:56 main:574] : INFO : Epoch 46 | loss: 0.0594988 | val_loss: 0.0593594 | Time: 15831.9 ms [2020-11-10 07:14:12 main:574] : INFO : Epoch 47 | loss: 0.0589562 | val_loss: 0.0587028 | Time: 15892.6 ms [2020-11-10 07:14:28 main:574] : INFO : Epoch 48 | loss: 0.0580737 | val_loss: 0.0574466 | Time: 16046.5 ms [2020-11-10 07:14:44 main:574] : INFO : Epoch 49 | loss: 0.0562325 | val_loss: 0.0548419 | Time: 15890.1 ms [2020-11-10 07:14:59 main:574] : INFO : Epoch 50 | loss: 0.052276 | val_loss: 0.0486646 | Time: 15667.9 ms [2020-11-10 07:15:15 main:574] : INFO : Epoch 51 | loss: 0.0370082 | val_loss: 0.0213727 | Time: 15832.5 ms [2020-11-10 07:15:31 main:574] : INFO : Epoch 52 | loss: 0.0147449 | val_loss: 0.0162515 | Time: 15757.1 ms [2020-11-10 07:15:47 main:574] : INFO : Epoch 53 | loss: 0.0242412 | val_loss: 0.0117498 | Time: 15907 ms [2020-11-10 07:16:03 main:574] : INFO : Epoch 54 | loss: 0.0226622 | val_loss: 0.048905 | Time: 15719.6 ms [2020-11-10 07:16:19 main:574] : INFO : Epoch 55 | loss: 0.0448014 | val_loss: 0.0545044 | Time: 15800.4 ms [2020-11-10 07:16:35 main:574] : INFO : Epoch 56 | loss: 0.0454626 | val_loss: 0.0312438 | Time: 15848.4 ms [2020-11-10 07:16:50 main:574] : INFO : Epoch 57 | loss: 0.0358146 | val_loss: 0.0631526 | Time: 15814.5 ms [2020-11-10 07:17:06 main:574] : INFO : Epoch 58 | loss: 0.0624262 | val_loss: 0.062158 | Time: 15740.7 ms [2020-11-10 07:17:22 main:574] : INFO : Epoch 59 | loss: 0.0618648 | val_loss: 0.0617616 | Time: 15854.8 ms [2020-11-10 07:17:38 main:574] : INFO : Epoch 60 | loss: 0.0615005 | val_loss: 0.0614348 | Time: 15836.8 ms [2020-11-10 07:17:54 main:574] : INFO : Epoch 61 | loss: 0.0611787 | val_loss: 0.0611194 | Time: 16033.9 ms [2020-11-10 07:18:10 main:574] : INFO : Epoch 62 | loss: 0.0609008 | val_loss: 0.0608592 | Time: 15826.6 ms [2020-11-10 07:18:26 main:574] : INFO : Epoch 63 | loss: 0.060672 | val_loss: 0.060652 | Time: 15852 ms [2020-11-10 07:18:42 main:574] : INFO : Epoch 64 | loss: 0.0604712 | val_loss: 0.0604733 | Time: 15801.1 ms [2020-11-10 07:18:57 main:574] : INFO : Epoch 65 | loss: 0.0602906 | val_loss: 0.0602973 | Time: 15778.1 ms [2020-11-10 07:19:13 main:574] : INFO : Epoch 66 | loss: 0.0601259 | val_loss: 0.0601355 | Time: 15754.3 ms [2020-11-10 07:19:29 main:574] : INFO : Epoch 67 | loss: 0.059961 | val_loss: 0.0599831 | Time: 15794.5 ms [2020-11-10 07:19:45 main:574] : INFO : Epoch 68 | loss: 0.0597848 | val_loss: 0.059801 | Time: 15791.3 ms [2020-11-10 07:20:01 main:574] : INFO : Epoch 69 | loss: 0.0595942 | val_loss: 0.0596069 | Time: 15772 ms [2020-11-10 07:20:17 main:574] : INFO : Epoch 70 | loss: 0.0593923 | val_loss: 0.0593939 | Time: 15782 ms [2020-11-10 07:20:32 main:574] : INFO : Epoch 71 | loss: 0.0591684 | val_loss: 0.0591632 | Time: 15917.2 ms [2020-11-10 07:20:48 main:574] : INFO : Epoch 72 | loss: 0.0589201 | val_loss: 0.0588866 | Time: 15863.5 ms [2020-11-10 07:21:04 main:574] : INFO : Epoch 73 | loss: 0.0586296 | val_loss: 0.0585609 | Time: 15798.3 ms [2020-11-10 07:21:20 main:574] : INFO : Epoch 74 | loss: 0.0582506 | val_loss: 0.0581181 | Time: 15963.5 ms [2020-11-10 07:21:36 main:574] : INFO : Epoch 75 | loss: 0.057677 | val_loss: 0.057394 | Time: 15920.7 ms [2020-11-10 07:21:52 main:574] : INFO : Epoch 76 | loss: 0.0566323 | val_loss: 0.0560057 | Time: 15822.5 ms [2020-11-10 07:22:08 main:574] : INFO : Epoch 77 | loss: 0.0547547 | val_loss: 0.0535966 | Time: 15895.7 ms [2020-11-10 07:22:24 main:574] : INFO : Epoch 78 | loss: 0.0513642 | val_loss: 0.0486984 | Time: 15756 ms [2020-11-10 07:22:40 main:574] : INFO : Epoch 79 | loss: 0.0424303 | val_loss: 0.033587 | Time: 15945.8 ms [2020-11-10 07:22:56 main:574] : INFO : Epoch 80 | loss: 0.0303987 | val_loss: 0.0403766 | Time: 15660.5 ms [2020-11-10 07:23:11 main:574] : INFO : Epoch 81 | loss: 0.0343878 | val_loss: 0.0212944 | Time: 15757 ms [2020-11-10 07:23:27 main:574] : INFO : Epoch 82 | loss: 0.0373805 | val_loss: 0.0556326 | Time: 15672.8 ms [2020-11-10 07:23:43 main:574] : INFO : Epoch 83 | loss: 0.0507634 | val_loss: 0.0451205 | Time: 15857.5 ms [2020-11-10 07:23:59 main:574] : INFO : Epoch 84 | loss: 0.0354074 | val_loss: 0.0276091 | Time: 15753.8 ms [2020-11-10 07:24:15 main:574] : INFO : Epoch 85 | loss: 0.0319944 | val_loss: 0.0201039 | Time: 15820 ms [2020-11-10 07:24:30 main:574] : INFO : Epoch 86 | loss: 0.0173228 | val_loss: 0.0200501 | Time: 15799.4 ms [2020-11-10 07:24:46 main:574] : INFO : Epoch 87 | loss: 0.0248077 | val_loss: 0.0150451 | Time: 15832.7 ms [2020-11-10 07:25:02 main:574] : INFO : Epoch 88 | loss: 0.0123874 | val_loss: 0.0118959 | Time: 15768.3 ms [2020-11-10 07:25:18 main:574] : INFO : Epoch 89 | loss: 0.0107635 | val_loss: 0.0105282 | Time: 15835.3 ms [2020-11-10 07:25:34 main:574] : INFO : Epoch 90 | loss: 0.0099064 | val_loss: 0.0097635 | Time: 15848.9 ms [2020-11-10 07:25:50 main:574] : INFO : Epoch 91 | loss: 0.00932553 | val_loss: 0.00931385 | Time: 15766.9 ms [2020-11-10 07:26:06 main:574] : INFO : Epoch 92 | loss: 0.00899815 | val_loss: 0.00915459 | Time: 15837.1 ms [2020-11-10 07:26:21 main:574] : INFO : Epoch 93 | loss: 0.00857521 | val_loss: 0.00862304 | Time: 15695.9 ms [2020-11-10 07:26:37 main:574] : INFO : Epoch 94 | loss: 0.00824744 | val_loss: 0.00832578 | Time: 15758.4 ms [2020-11-10 07:26:53 main:574] : INFO : Epoch 95 | loss: 0.00797184 | val_loss: 0.00805608 | Time: 15636.5 ms [2020-11-10 07:27:09 main:574] : INFO : Epoch 96 | loss: 0.0077483 | val_loss: 0.00788638 | Time: 15799.5 ms [2020-11-10 07:27:24 main:574] : INFO : Epoch 97 | loss: 0.00754105 | val_loss: 0.00757952 | Time: 15762.4 ms [2020-11-10 07:27:40 main:574] : INFO : Epoch 98 | loss: 0.00729001 | val_loss: 0.00737936 | Time: 15913.2 ms [2020-11-10 07:27:56 main:574] : INFO : Epoch 99 | loss: 0.0070929 | val_loss: 0.00715914 | Time: 15828.4 ms [2020-11-10 07:28:12 main:574] : INFO : Epoch 100 | loss: 0.00690972 | val_loss: 0.0069562 | Time: 15987.6 ms [2020-11-10 07:28:28 main:574] : INFO : Epoch 101 | loss: 0.00673316 | val_loss: 0.00676457 | Time: 15742.8 ms [2020-11-10 07:28:44 main:574] : INFO : Epoch 102 | loss: 0.00657596 | val_loss: 0.00657299 | Time: 15740.7 ms [2020-11-10 07:29:00 main:574] : INFO : Epoch 103 | loss: 0.00640322 | val_loss: 0.006412 | Time: 15769.8 ms [2020-11-10 07:29:16 main:574] : INFO : Epoch 104 | loss: 0.0062435 | val_loss: 0.00625834 | Time: 15924.9 ms [2020-11-10 07:29:32 main:574] : INFO : Epoch 105 | loss: 0.00608962 | val_loss: 0.0060999 | Time: 15973.2 ms [2020-11-10 07:29:48 main:574] : INFO : Epoch 106 | loss: 0.00799418 | val_loss: 0.00839311 | Time: 15920.4 ms [2020-11-10 07:30:04 main:574] : INFO : Epoch 107 | loss: 0.00855494 | val_loss: 0.00686992 | Time: 16045.5 ms [2020-11-10 07:30:20 main:574] : INFO : Epoch 108 | loss: 0.00633736 | val_loss: 0.00612397 | Time: 15827.9 ms [2020-11-10 07:30:36 main:574] : INFO : Epoch 109 | loss: 0.00585998 | val_loss: 0.00583249 | Time: 15805.4 ms [2020-11-10 07:30:51 main:574] : INFO : Epoch 110 | loss: 0.00562644 | val_loss: 0.0056278 | Time: 15933.4 ms [2020-11-10 07:31:07 main:574] : INFO : Epoch 111 | loss: 0.00544855 | val_loss: 0.00544476 | Time: 15631.1 ms [2020-11-10 07:31:23 main:574] : INFO : Epoch 112 | loss: 0.00530006 | val_loss: 0.00529602 | Time: 15858.5 ms [2020-11-10 07:31:39 main:574] : INFO : Epoch 113 | loss: 0.00515273 | val_loss: 0.00515887 | Time: 15902.3 ms [2020-11-10 07:31:55 main:574] : INFO : Epoch 114 | loss: 0.00501839 | val_loss: 0.00502357 | Time: 15630.3 ms [2020-11-10 07:32:10 main:574] : INFO : Epoch 115 | loss: 0.00488945 | val_loss: 0.0048967 | Time: 15747.9 ms [2020-11-10 07:32:26 main:574] : INFO : Epoch 116 | loss: 0.004765 | val_loss: 0.0047695 | Time: 15682.9 ms [2020-11-10 07:32:42 main:574] : INFO : Epoch 117 | loss: 0.00464151 | val_loss: 0.00464588 | Time: 15702.7 ms [2020-11-10 07:32:58 main:574] : INFO : Epoch 118 | loss: 0.00452075 | val_loss: 0.00452792 | Time: 15853.3 ms [2020-11-10 07:33:14 main:574] : INFO : Epoch 119 | loss: 0.00440164 | val_loss: 0.00440529 | Time: 15807.1 ms [2020-11-10 07:33:30 main:574] : INFO : Epoch 120 | loss: 0.00428315 | val_loss: 0.00428621 | Time: 15995.3 ms [2020-11-10 07:33:46 main:574] : INFO : Epoch 121 | loss: 0.00416659 | val_loss: 0.0041703 | Time: 15823.5 ms [2020-11-10 07:34:01 main:574] : INFO : Epoch 122 | loss: 0.0040835 | val_loss: 0.00405936 | Time: 15852 ms [2020-11-10 07:34:17 main:574] : INFO : Epoch 123 | loss: 0.00393892 | val_loss: 0.00394115 | Time: 15867.3 ms [2020-11-10 07:34:33 main:574] : INFO : Epoch 124 | loss: 0.00382257 | val_loss: 0.00382462 | Time: 15827.6 ms [2020-11-10 07:34:49 main:574] : INFO : Epoch 125 | loss: 0.00370875 | val_loss: 0.00370842 | Time: 15938.1 ms [2020-11-10 07:35:05 main:574] : INFO : Epoch 126 | loss: 0.00360717 | val_loss: 0.00359439 | Time: 15563 ms [2020-11-10 07:35:21 main:574] : INFO : Epoch 127 | loss: 0.00348773 | val_loss: 0.00348534 | Time: 15968.2 ms [2020-11-10 07:35:37 main:574] : INFO : Epoch 128 | loss: 0.0033698 | val_loss: 0.003368 | Time: 15840.9 ms [2020-11-10 07:35:53 main:574] : INFO : Epoch 129 | loss: 0.00325923 | val_loss: 0.00325703 | Time: 15859.3 ms [2020-11-10 07:36:08 main:574] : INFO : Epoch 130 | loss: 0.00315064 | val_loss: 0.00314912 | Time: 15778.8 ms [2020-11-10 07:36:24 main:574] : INFO : Epoch 131 | loss: 0.00304273 | val_loss: 0.00304092 | Time: 15695.3 ms [2020-11-10 07:36:40 main:574] : INFO : Epoch 132 | loss: 0.00293717 | val_loss: 0.00293381 | Time: 15757.7 ms [2020-11-10 07:36:56 main:574] : INFO : Epoch 133 | loss: 0.00283268 | val_loss: 0.002832 | Time: 15843.6 ms [2020-11-10 07:37:12 main:574] : INFO : Epoch 134 | loss: 0.00273018 | val_loss: 0.00272774 | Time: 15800.5 ms [2020-11-10 07:37:28 main:574] : INFO : Epoch 135 | loss: 0.00263034 | val_loss: 0.00262735 | Time: 15872.4 ms [2020-11-10 07:37:44 main:574] : INFO : Epoch 136 | loss: 0.00253117 | val_loss: 0.00252996 | Time: 15984.9 ms [2020-11-10 07:37:59 main:574] : INFO : Epoch 137 | loss: 0.00243378 | val_loss: 0.00243077 | Time: 15802.9 ms [2020-11-10 07:38:15 main:574] : INFO : Epoch 138 | loss: 0.00233846 | val_loss: 0.00233418 | Time: 15859.5 ms [2020-11-10 07:38:32 main:574] : INFO : Epoch 139 | loss: 0.00224526 | val_loss: 0.00224261 | Time: 16168.9 ms [2020-11-10 07:38:48 main:574] : INFO : Epoch 140 | loss: 0.00215591 | val_loss: 0.00215324 | Time: 15859.5 ms [2020-11-10 07:39:03 main:574] : INFO : Epoch 141 | loss: 0.00206897 | val_loss: 0.00206512 | Time: 15681 ms [2020-11-10 07:39:19 main:574] : INFO : Epoch 142 | loss: 0.00198362 | val_loss: 0.00198275 | Time: 15808.4 ms [2020-11-10 07:39:35 main:574] : INFO : Epoch 143 | loss: 0.00190135 | val_loss: 0.00189802 | Time: 15773.5 ms [2020-11-10 07:39:51 main:574] : INFO : Epoch 144 | loss: 0.00182133 | val_loss: 0.00181819 | Time: 15941.5 ms [2020-11-10 07:40:07 main:574] : INFO : Epoch 145 | loss: 0.00174448 | val_loss: 0.00173946 | Time: 15888.5 ms [2020-11-10 07:40:23 main:574] : INFO : Epoch 146 | loss: 0.00166979 | val_loss: 0.00166721 | Time: 15878 ms [2020-11-10 07:40:39 main:574] : INFO : Epoch 147 | loss: 0.00159845 | val_loss: 0.001595 | Time: 15840.3 ms [2020-11-10 07:40:54 main:574] : INFO : Epoch 148 | loss: 0.00152807 | val_loss: 0.00152441 | Time: 15629.2 ms [2020-11-10 07:41:10 main:574] : INFO : Epoch 149 | loss: 0.00146136 | val_loss: 0.00145804 | Time: 15958.3 ms [2020-11-10 07:41:26 main:574] : INFO : Epoch 150 | loss: 0.00139682 | val_loss: 0.0013951 | Time: 15764.9 ms [2020-11-10 07:41:42 main:574] : INFO : Epoch 151 | loss: 0.00133451 | val_loss: 0.0013304 | Time: 15835.4 ms [2020-11-10 07:41:58 main:574] : INFO : Epoch 152 | loss: 0.00127454 | val_loss: 0.00126998 | Time: 15786.4 ms [2020-11-10 07:42:14 main:574] : INFO : Epoch 153 | loss: 0.00121768 | val_loss: 0.00121341 | Time: 16014.9 ms [2020-11-10 07:42:30 main:574] : INFO : Epoch 154 | loss: 0.00116281 | val_loss: 0.00116072 | Time: 15764.2 ms [2020-11-10 07:42:45 main:574] : INFO : Epoch 155 | loss: 0.00110966 | val_loss: 0.00110905 | Time: 15797.8 ms [2020-11-10 07:43:01 main:574] : INFO : Epoch 156 | loss: 0.00105959 | val_loss: 0.00105597 | Time: 15712.6 ms [2020-11-10 07:43:17 main:574] : INFO : Epoch 157 | loss: 0.00101147 | val_loss: 0.00100858 | Time: 15799.3 ms [2020-11-10 07:43:33 main:574] : INFO : Epoch 158 | loss: 0.000965825 | val_loss: 0.000961292 | Time: 15855.2 ms [2020-11-10 07:43:49 main:574] : INFO : Epoch 159 | loss: 0.000922322 | val_loss: 0.000918351 | Time: 15925.9 ms [2020-11-10 07:44:05 main:574] : INFO : Epoch 160 | loss: 0.000880929 | val_loss: 0.000876699 | Time: 15929.3 ms [2020-11-10 07:44:21 main:574] : INFO : Epoch 161 | loss: 0.000841199 | val_loss: 0.000837341 | Time: 15725.2 ms [2020-11-10 07:44:37 main:574] : INFO : Epoch 162 | loss: 0.000803338 | val_loss: 0.00080122 | Time: 16175.9 ms [2020-11-10 07:44:53 main:574] : INFO : Epoch 163 | loss: 0.000767504 | val_loss: 0.000763132 | Time: 15632.1 ms [2020-11-10 07:45:08 main:574] : INFO : Epoch 164 | loss: 0.000733144 | val_loss: 0.000732367 | Time: 15805.6 ms [2020-11-10 07:45:24 main:574] : INFO : Epoch 165 | loss: 0.000700901 | val_loss: 0.000696556 | Time: 15845.6 ms [2020-11-10 07:45:40 main:574] : INFO : Epoch 166 | loss: 0.000670301 | val_loss: 0.000667984 | Time: 16077.9 ms [2020-11-10 07:45:56 main:574] : INFO : Epoch 167 | loss: 0.000640394 | val_loss: 0.00063824 | Time: 15746.4 ms [2020-11-10 07:46:12 main:574] : INFO : Epoch 168 | loss: 0.000612949 | val_loss: 0.000611606 | Time: 15877.5 ms [2020-11-10 07:46:28 main:574] : INFO : Epoch 169 | loss: 0.000585967 | val_loss: 0.000583773 | Time: 15992.5 ms [2020-11-10 07:46:44 main:574] : INFO : Epoch 170 | loss: 0.000560814 | val_loss: 0.000559258 | Time: 15816.9 ms [2020-11-10 07:47:00 main:574] : INFO : Epoch 171 | loss: 0.000536651 | val_loss: 0.000535389 | Time: 15910.2 ms [2020-11-10 07:47:16 main:574] : INFO : Epoch 172 | loss: 0.000513866 | val_loss: 0.000512023 | Time: 15701.8 ms [2020-11-10 07:47:32 main:574] : INFO : Epoch 173 | loss: 0.000492348 | val_loss: 0.000490535 | Time: 15936.7 ms [2020-11-10 07:47:47 main:574] : INFO : Epoch 174 | loss: 0.000471414 | val_loss: 0.000471554 | Time: 15702 ms [2020-11-10 07:48:03 main:574] : INFO : Epoch 175 | loss: 0.000451749 | val_loss: 0.000450244 | Time: 15943.3 ms [2020-11-10 07:48:20 main:574] : INFO : Epoch 176 | loss: 0.00043323 | val_loss: 0.000433986 | Time: 16022.4 ms [2020-11-10 07:48:35 main:574] : INFO : Epoch 177 | loss: 0.000414906 | val_loss: 0.000413699 | Time: 15868 ms [2020-11-10 07:48:51 main:574] : INFO : Epoch 178 | loss: 0.000398279 | val_loss: 0.000398359 | Time: 15966.4 ms [2020-11-10 07:49:07 main:574] : INFO : Epoch 179 | loss: 0.000381342 | val_loss: 0.000382917 | Time: 15564.2 ms [2020-11-10 07:49:23 main:574] : INFO : Epoch 180 | loss: 0.000365781 | val_loss: 0.000364582 | Time: 15991.1 ms [2020-11-10 07:49:39 main:574] : INFO : Epoch 181 | loss: 0.000351376 | val_loss: 0.000350805 | Time: 15943.1 ms [2020-11-10 07:49:55 main:574] : INFO : Epoch 182 | loss: 0.000337198 | val_loss: 0.000336962 | Time: 15985.2 ms [2020-11-10 07:50:11 main:574] : INFO : Epoch 183 | loss: 0.000323641 | val_loss: 0.000323917 | Time: 15928.3 ms [2020-11-10 07:50:27 main:574] : INFO : Epoch 184 | loss: 0.000310319 | val_loss: 0.000310118 | Time: 15919.1 ms [2020-11-10 07:50:43 main:574] : INFO : Epoch 185 | loss: 0.000298579 | val_loss: 0.000299271 | Time: 15840.1 ms [2020-11-10 07:50:59 main:574] : INFO : Epoch 186 | loss: 0.000286629 | val_loss: 0.000286967 | Time: 15725.2 ms [2020-11-10 07:51:14 main:574] : INFO : Epoch 187 | loss: 0.000275461 | val_loss: 0.000275773 | Time: 15550.7 ms [2020-11-10 07:51:30 main:574] : INFO : Epoch 188 | loss: 0.000264753 | val_loss: 0.000265446 | Time: 15918.8 ms [2020-11-10 07:51:46 main:574] : INFO : Epoch 189 | loss: 0.000254723 | val_loss: 0.000255037 | Time: 15804.4 ms [2020-11-10 07:52:02 main:574] : INFO : Epoch 190 | loss: 0.000245053 | val_loss: 0.000246277 | Time: 15842.9 ms [2020-11-10 07:52:18 main:574] : INFO : Epoch 191 | loss: 0.000236334 | val_loss: 0.000236032 | Time: 15774.7 ms [2020-11-10 07:52:34 main:574] : INFO : Epoch 192 | loss: 0.000227667 | val_loss: 0.000226388 | Time: 15834.6 ms [2020-11-10 07:52:34 main:597] : INFO : Saving trained model to model-final.pt, val_loss 0.000226388 [2020-11-10 07:52:34 main:603] : INFO : Saving end state to config to file [2020-11-10 07:52:34 main:608] : INFO : Success, exiting.. 07:52:34 (916): 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)