| Name | rand_automata_0032-1605425304-18795-0_0 |
| Workunit | 1326989 |
| Created | 15 Nov 2020, 7:28:27 UTC |
| Sent | 18 Nov 2020, 7:51:55 UTC |
| Report deadline | 26 Nov 2020, 7:51:55 UTC |
| Received | 18 Nov 2020, 8:23:20 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 3682 |
| Run time | 15 min 32 sec |
| CPU time | 14 min 16 sec |
| Validate state | Valid |
| Credit | 959.40 |
| Device peak FLOPS | 11,978.66 GFLOPS |
| Application version | Machine Learning Dataset Generator (GPU) v9.75 (cuda10200) windows_x86_64 |
| Peak working set size | 1.49 GB |
| Peak swap size | 3.26 GB |
| Peak disk usage | 1.54 GB |
<core_client_version>7.16.5</core_client_version> <![CDATA[ <stderr_txt> Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: GeForce GTX 1080 Ti) [2020-11-18 02:55:13 main:435] : INFO : Set logging level to 1 [2020-11-18 02:55:13 main:441] : INFO : Running in BOINC Client mode [2020-11-18 02:55:13 main:444] : INFO : Resolving all filenames [2020-11-18 02:55:13 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0032-train-val-dataset.hdf5 (exists = 1) [2020-11-18 02:55:14 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0032-1605425304-18795-0_0_r21253861_1 (exists = 0) [2020-11-18 02:55:14 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0032-1605425304-18795-0_0_r21253861_0 (exists = 0) [2020-11-18 02:55:14 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 0) [2020-11-18 02:55:14 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-18 02:55:14 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/rand_automata_0032-train-val-dataset.hdf5 [2020-11-18 02:55:14 main:474] : INFO : Configuration: [2020-11-18 02:55:14 main:475] : INFO : Model type: LSTM [2020-11-18 02:55:14 main:476] : INFO : Validation Loss Threshold: 0.0001 [2020-11-18 02:55:14 main:477] : INFO : Max Epochs: 192 [2020-11-18 02:55:14 main:478] : INFO : Batch Size: 32 [2020-11-18 02:55:14 main:479] : INFO : Learning Rate: 0.001 [2020-11-18 02:55:14 main:480] : INFO : Patience: 10 [2020-11-18 02:55:14 main:481] : INFO : Hidden Width: 64 [2020-11-18 02:55:14 main:482] : INFO : # Recurrent Layers: 4 [2020-11-18 02:55:15 main:483] : INFO : # Backend Layers: 2 [2020-11-18 02:55:15 main:484] : INFO : # Threads: 1 [2020-11-18 02:55:15 main:486] : INFO : Preparing Dataset [2020-11-18 02:55:15 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0032-train-val-dataset.hdf5 into memory [2020-11-18 02:55:15 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0032-train-val-dataset.hdf5 into memory [2020-11-18 02:55:17 load:106] : INFO : Successfully loaded dataset of 4096 examples into memory. [2020-11-18 02:55:17 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0032-train-val-dataset.hdf5 into memory [2020-11-18 02:55:17 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0032-train-val-dataset.hdf5 into memory [2020-11-18 02:55:17 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-18 02:55:17 main:494] : INFO : Creating Model [2020-11-18 02:55:17 main:507] : INFO : Preparing config file [2020-11-18 02:55:17 main:519] : INFO : Creating new config file [2020-11-18 02:55:18 main:559] : INFO : Loading DataLoader into Memory [2020-11-18 02:55:19 main:562] : INFO : Starting Training [2020-11-18 02:55:24 main:574] : INFO : Epoch 1 | loss: 0.0664935 | val_loss: 0.0661021 | Time: 5059.93 ms [2020-11-18 02:55:29 main:574] : INFO : Epoch 2 | loss: 0.0658578 | val_loss: 0.0646609 | Time: 4516.51 ms [2020-11-18 02:55:33 main:574] : INFO : Epoch 3 | loss: 0.0635223 | val_loss: 0.0623359 | Time: 4522.62 ms [2020-11-18 02:55:38 main:574] : INFO : Epoch 4 | loss: 0.0610144 | val_loss: 0.0598499 | Time: 4516.42 ms [2020-11-18 02:55:43 main:574] : INFO : Epoch 5 | loss: 0.0588616 | val_loss: 0.0579925 | Time: 4864.67 ms [2020-11-18 02:55:48 main:574] : INFO : Epoch 6 | loss: 0.0571851 | val_loss: 0.0565769 | Time: 4497.59 ms [2020-11-18 02:55:52 main:574] : INFO : Epoch 7 | loss: 0.0559415 | val_loss: 0.055501 | Time: 4511.3 ms [2020-11-18 02:55:57 main:574] : INFO : Epoch 8 | loss: 0.0549071 | val_loss: 0.0545565 | Time: 4479.69 ms [2020-11-18 02:56:01 main:574] : INFO : Epoch 9 | loss: 0.0539109 | val_loss: 0.0536897 | Time: 4538.77 ms [2020-11-18 02:56:06 main:574] : INFO : Epoch 10 | loss: 0.052944 | val_loss: 0.0526312 | Time: 4501.9 ms [2020-11-18 02:56:11 main:574] : INFO : Epoch 11 | loss: 0.0519067 | val_loss: 0.0515942 | Time: 4552.4 ms [2020-11-18 02:56:15 main:574] : INFO : Epoch 12 | loss: 0.0507814 | val_loss: 0.0503714 | Time: 4492.48 ms [2020-11-18 02:56:20 main:574] : INFO : Epoch 13 | loss: 0.0495317 | val_loss: 0.0492756 | Time: 4487.61 ms [2020-11-18 02:56:24 main:574] : INFO : Epoch 14 | loss: 0.0481419 | val_loss: 0.0477782 | Time: 4504.35 ms [2020-11-18 02:56:29 main:574] : INFO : Epoch 15 | loss: 0.0466738 | val_loss: 0.0463931 | Time: 4485.3 ms [2020-11-18 02:56:33 main:574] : INFO : Epoch 16 | loss: 0.0450332 | val_loss: 0.044631 | Time: 4533.71 ms [2020-11-18 02:56:38 main:574] : INFO : Epoch 17 | loss: 0.0432091 | val_loss: 0.042865 | Time: 4498.76 ms [2020-11-18 02:56:43 main:574] : INFO : Epoch 18 | loss: 0.0411919 | val_loss: 0.0410728 | Time: 4528.14 ms [2020-11-18 02:56:47 main:574] : INFO : Epoch 19 | loss: 0.0391877 | val_loss: 0.0390695 | Time: 4504.57 ms [2020-11-18 02:56:52 main:574] : INFO : Epoch 20 | loss: 0.0369025 | val_loss: 0.0373178 | Time: 4462.32 ms [2020-11-18 02:56:56 main:574] : INFO : Epoch 21 | loss: 0.0349922 | val_loss: 0.0360771 | Time: 4469.26 ms [2020-11-18 02:57:01 main:574] : INFO : Epoch 22 | loss: 0.0330877 | val_loss: 0.0347086 | Time: 4566.46 ms [2020-11-18 02:57:05 main:574] : INFO : Epoch 23 | loss: 0.0311575 | val_loss: 0.0330815 | Time: 4459.03 ms [2020-11-18 02:57:10 main:574] : INFO : Epoch 24 | loss: 0.0288384 | val_loss: 0.0327476 | Time: 4548.04 ms [2020-11-18 02:57:15 main:574] : INFO : Epoch 25 | loss: 0.0267355 | val_loss: 0.0256726 | Time: 4480.05 ms [2020-11-18 02:57:19 main:574] : INFO : Epoch 26 | loss: 0.0356813 | val_loss: 0.0280142 | Time: 4545.82 ms [2020-11-18 02:57:24 main:574] : INFO : Epoch 27 | loss: 0.0277499 | val_loss: 0.0489512 | Time: 4546.77 ms [2020-11-18 02:57:28 main:574] : INFO : Epoch 28 | loss: 0.0289206 | val_loss: 0.0268219 | Time: 4518.36 ms [2020-11-18 02:57:33 main:574] : INFO : Epoch 29 | loss: 0.0352589 | val_loss: 0.0267425 | Time: 4506.23 ms [2020-11-18 02:57:38 main:574] : INFO : Epoch 30 | loss: 0.0238164 | val_loss: 0.0302984 | Time: 4428.88 ms [2020-11-18 02:57:42 main:574] : INFO : Epoch 31 | loss: 0.019874 | val_loss: 0.0180565 | Time: 4454.25 ms [2020-11-18 02:57:47 main:574] : INFO : Epoch 32 | loss: 0.0227672 | val_loss: 0.0212951 | Time: 4501.28 ms [2020-11-18 02:57:51 main:574] : INFO : Epoch 33 | loss: 0.0284545 | val_loss: 0.0220464 | Time: 4557.65 ms [2020-11-18 02:57:56 main:574] : INFO : Epoch 34 | loss: 0.0191419 | val_loss: 0.0198409 | Time: 4479.25 ms [2020-11-18 02:58:01 main:574] : INFO : Epoch 35 | loss: 0.0191465 | val_loss: 0.0149049 | Time: 4495.87 ms [2020-11-18 02:58:05 main:574] : INFO : Epoch 36 | loss: 0.0282722 | val_loss: 0.0233734 | Time: 4500.07 ms [2020-11-18 02:58:10 main:574] : INFO : Epoch 37 | loss: 0.0373859 | val_loss: 0.0389523 | Time: 4509.26 ms [2020-11-18 02:58:14 main:574] : INFO : Epoch 38 | loss: 0.0213251 | val_loss: 0.0160185 | Time: 4524.54 ms [2020-11-18 02:58:19 main:574] : INFO : Epoch 39 | loss: 0.0162202 | val_loss: 0.0154669 | Time: 4457.94 ms [2020-11-18 02:58:24 main:574] : INFO : Epoch 40 | loss: 0.0192377 | val_loss: 0.017522 | Time: 4479.69 ms [2020-11-18 02:58:28 main:574] : INFO : Epoch 41 | loss: 0.0342845 | val_loss: 0.0634742 | Time: 4458.36 ms [2020-11-18 02:58:33 main:574] : INFO : Epoch 42 | loss: 0.0628437 | val_loss: 0.0624712 | Time: 4460.58 ms [2020-11-18 02:58:37 main:574] : INFO : Epoch 43 | loss: 0.0622938 | val_loss: 0.0621205 | Time: 4471.04 ms [2020-11-18 02:58:42 main:574] : INFO : Epoch 44 | loss: 0.0620195 | val_loss: 0.0618985 | Time: 4730.96 ms [2020-11-18 02:58:47 main:574] : INFO : Epoch 45 | loss: 0.0618346 | val_loss: 0.0617625 | Time: 4475.67 ms [2020-11-18 02:58:51 main:574] : INFO : Epoch 46 | loss: 0.0617075 | val_loss: 0.0616253 | Time: 4525.24 ms [2020-11-18 02:58:56 main:574] : INFO : Epoch 47 | loss: 0.0615972 | val_loss: 0.0615389 | Time: 4549.57 ms [2020-11-18 02:59:00 main:574] : INFO : Epoch 48 | loss: 0.0615002 | val_loss: 0.0614333 | Time: 4494.02 ms [2020-11-18 02:59:05 main:574] : INFO : Epoch 49 | loss: 0.0614124 | val_loss: 0.0613532 | Time: 4575.57 ms [2020-11-18 02:59:10 main:574] : INFO : Epoch 50 | loss: 0.0613276 | val_loss: 0.0612574 | Time: 4471.89 ms [2020-11-18 02:59:14 main:574] : INFO : Epoch 51 | loss: 0.0612425 | val_loss: 0.0611848 | Time: 4502.01 ms [2020-11-18 02:59:19 main:574] : INFO : Epoch 52 | loss: 0.0611649 | val_loss: 0.0611006 | Time: 4483.54 ms [2020-11-18 02:59:23 main:574] : INFO : Epoch 53 | loss: 0.0610831 | val_loss: 0.0610245 | Time: 4483.55 ms [2020-11-18 02:59:28 main:574] : INFO : Epoch 54 | loss: 0.0610045 | val_loss: 0.0609415 | Time: 4465.92 ms [2020-11-18 02:59:33 main:574] : INFO : Epoch 55 | loss: 0.0609277 | val_loss: 0.060864 | Time: 4512.82 ms [2020-11-18 02:59:37 main:574] : INFO : Epoch 56 | loss: 0.0608419 | val_loss: 0.0607804 | Time: 4510.69 ms [2020-11-18 02:59:42 main:574] : INFO : Epoch 57 | loss: 0.0607516 | val_loss: 0.0606955 | Time: 4457.14 ms [2020-11-18 02:59:46 main:574] : INFO : Epoch 58 | loss: 0.0606589 | val_loss: 0.0605964 | Time: 4538.09 ms [2020-11-18 02:59:51 main:574] : INFO : Epoch 59 | loss: 0.0605649 | val_loss: 0.0605105 | Time: 4508.88 ms [2020-11-18 02:59:56 main:574] : INFO : Epoch 60 | loss: 0.0604667 | val_loss: 0.0604084 | Time: 4512.33 ms [2020-11-18 03:00:00 main:574] : INFO : Epoch 61 | loss: 0.0603735 | val_loss: 0.0603195 | Time: 4488.47 ms [2020-11-18 03:00:05 main:574] : INFO : Epoch 62 | loss: 0.0602779 | val_loss: 0.0602212 | Time: 4503.87 ms [2020-11-18 03:00:09 main:574] : INFO : Epoch 63 | loss: 0.0601783 | val_loss: 0.0601224 | Time: 4533.36 ms [2020-11-18 03:00:14 main:574] : INFO : Epoch 64 | loss: 0.06008 | val_loss: 0.0600297 | Time: 4478.84 ms [2020-11-18 03:00:19 main:574] : INFO : Epoch 65 | loss: 0.0599805 | val_loss: 0.0599228 | Time: 4534.61 ms [2020-11-18 03:00:23 main:574] : INFO : Epoch 66 | loss: 0.0598772 | val_loss: 0.0598243 | Time: 4540.23 ms [2020-11-18 03:00:28 main:574] : INFO : Epoch 67 | loss: 0.059772 | val_loss: 0.059742 | Time: 4537.71 ms [2020-11-18 03:00:32 main:574] : INFO : Epoch 68 | loss: 0.0596642 | val_loss: 0.0596249 | Time: 4511.04 ms [2020-11-18 03:00:37 main:574] : INFO : Epoch 69 | loss: 0.0595569 | val_loss: 0.0595314 | Time: 4492.44 ms [2020-11-18 03:00:41 main:574] : INFO : Epoch 70 | loss: 0.0594488 | val_loss: 0.0594159 | Time: 4450.03 ms [2020-11-18 03:00:46 main:574] : INFO : Epoch 71 | loss: 0.0593339 | val_loss: 0.0592988 | Time: 4554.75 ms [2020-11-18 03:00:51 main:574] : INFO : Epoch 72 | loss: 0.0592165 | val_loss: 0.0591782 | Time: 4518.81 ms [2020-11-18 03:00:55 main:574] : INFO : Epoch 73 | loss: 0.0590941 | val_loss: 0.059049 | Time: 4491.79 ms [2020-11-18 03:01:00 main:574] : INFO : Epoch 74 | loss: 0.0589745 | val_loss: 0.0589357 | Time: 4486.08 ms [2020-11-18 03:01:05 main:574] : INFO : Epoch 75 | loss: 0.0588483 | val_loss: 0.0588059 | Time: 4493.47 ms [2020-11-18 03:01:09 main:574] : INFO : Epoch 76 | loss: 0.0587142 | val_loss: 0.0586817 | Time: 4525.39 ms [2020-11-18 03:01:14 main:574] : INFO : Epoch 77 | loss: 0.0585785 | val_loss: 0.0585332 | Time: 4492.36 ms [2020-11-18 03:01:18 main:574] : INFO : Epoch 78 | loss: 0.0584396 | val_loss: 0.0583957 | Time: 4504.9 ms [2020-11-18 03:01:23 main:574] : INFO : Epoch 79 | loss: 0.0582986 | val_loss: 0.0582595 | Time: 4535.04 ms [2020-11-18 03:01:27 main:574] : INFO : Epoch 80 | loss: 0.0581551 | val_loss: 0.0581302 | Time: 4503.69 ms [2020-11-18 03:01:32 main:574] : INFO : Epoch 81 | loss: 0.0580069 | val_loss: 0.0579671 | Time: 4528.47 ms [2020-11-18 03:01:37 main:574] : INFO : Epoch 82 | loss: 0.0578577 | val_loss: 0.0578226 | Time: 4448.74 ms [2020-11-18 03:01:41 main:574] : INFO : Epoch 83 | loss: 0.0577042 | val_loss: 0.0576551 | Time: 4603.05 ms [2020-11-18 03:01:46 main:574] : INFO : Epoch 84 | loss: 0.0575377 | val_loss: 0.0574815 | Time: 4279.33 ms [2020-11-18 03:01:50 main:574] : INFO : Epoch 85 | loss: 0.0573674 | val_loss: 0.0573226 | Time: 4551.39 ms [2020-11-18 03:01:55 main:574] : INFO : Epoch 86 | loss: 0.057194 | val_loss: 0.0571499 | Time: 4488.88 ms [2020-11-18 03:02:00 main:574] : INFO : Epoch 87 | loss: 0.0570139 | val_loss: 0.0569658 | Time: 4469.36 ms [2020-11-18 03:02:04 main:574] : INFO : Epoch 88 | loss: 0.0568256 | val_loss: 0.0567696 | Time: 4520.99 ms [2020-11-18 03:02:09 main:574] : INFO : Epoch 89 | loss: 0.0566291 | val_loss: 0.0565634 | Time: 4472.49 ms [2020-11-18 03:02:14 main:574] : INFO : Epoch 90 | loss: 0.0564223 | val_loss: 0.056379 | Time: 4506.25 ms [2020-11-18 03:02:18 main:574] : INFO : Epoch 91 | loss: 0.0561989 | val_loss: 0.0561778 | Time: 4535.75 ms [2020-11-18 03:02:23 main:574] : INFO : Epoch 92 | loss: 0.0559783 | val_loss: 0.0559436 | Time: 4503.07 ms [2020-11-18 03:02:27 main:574] : INFO : Epoch 93 | loss: 0.0557274 | val_loss: 0.055732 | Time: 4483.09 ms [2020-11-18 03:02:32 main:574] : INFO : Epoch 94 | loss: 0.0554657 | val_loss: 0.0554663 | Time: 4519.22 ms [2020-11-18 03:02:36 main:574] : INFO : Epoch 95 | loss: 0.0551787 | val_loss: 0.0551525 | Time: 4433.08 ms [2020-11-18 03:02:41 main:574] : INFO : Epoch 96 | loss: 0.0548521 | val_loss: 0.0548301 | Time: 4527.84 ms [2020-11-18 03:02:46 main:574] : INFO : Epoch 97 | loss: 0.054463 | val_loss: 0.0544434 | Time: 4466.63 ms [2020-11-18 03:02:50 main:574] : INFO : Epoch 98 | loss: 0.0540038 | val_loss: 0.0539158 | Time: 4506.84 ms [2020-11-18 03:02:55 main:574] : INFO : Epoch 99 | loss: 0.0533991 | val_loss: 0.053277 | Time: 4490.62 ms [2020-11-18 03:02:59 main:574] : INFO : Epoch 100 | loss: 0.0525706 | val_loss: 0.0522339 | Time: 4485.56 ms [2020-11-18 03:03:04 main:574] : INFO : Epoch 101 | loss: 0.0511053 | val_loss: 0.0501233 | Time: 4494.4 ms [2020-11-18 03:03:09 main:574] : INFO : Epoch 102 | loss: 0.0471931 | val_loss: 0.0435471 | Time: 4457.9 ms [2020-11-18 03:03:13 main:574] : INFO : Epoch 103 | loss: 0.0400343 | val_loss: 0.0352516 | Time: 4467.8 ms [2020-11-18 03:03:18 main:574] : INFO : Epoch 104 | loss: 0.0414444 | val_loss: 0.0488959 | Time: 4528.72 ms [2020-11-18 03:03:22 main:574] : INFO : Epoch 105 | loss: 0.0312823 | val_loss: 0.0316336 | Time: 4502.29 ms [2020-11-18 03:03:27 main:574] : INFO : Epoch 106 | loss: 0.0325649 | val_loss: 0.0310754 | Time: 4488.63 ms [2020-11-18 03:03:31 main:574] : INFO : Epoch 107 | loss: 0.0208729 | val_loss: 0.0174423 | Time: 4532.94 ms [2020-11-18 03:03:36 main:574] : INFO : Epoch 108 | loss: 0.036635 | val_loss: 0.0259856 | Time: 4516.41 ms [2020-11-18 03:03:41 main:574] : INFO : Epoch 109 | loss: 0.041825 | val_loss: 0.0532177 | Time: 4508.51 ms [2020-11-18 03:03:45 main:574] : INFO : Epoch 110 | loss: 0.0379274 | val_loss: 0.0224137 | Time: 4530.07 ms [2020-11-18 03:03:50 main:574] : INFO : Epoch 111 | loss: 0.0169568 | val_loss: 0.0138656 | Time: 4491.67 ms [2020-11-18 03:03:54 main:574] : INFO : Epoch 112 | loss: 0.0174479 | val_loss: 0.0191206 | Time: 4518.92 ms [2020-11-18 03:03:59 main:574] : INFO : Epoch 113 | loss: 0.0126378 | val_loss: 0.0122244 | Time: 4525.61 ms [2020-11-18 03:04:04 main:574] : INFO : Epoch 114 | loss: 0.0429182 | val_loss: 0.0243115 | Time: 4555.61 ms [2020-11-18 03:04:08 main:574] : INFO : Epoch 115 | loss: 0.019106 | val_loss: 0.0141322 | Time: 4493.1 ms [2020-11-18 03:04:13 main:574] : INFO : Epoch 116 | loss: 0.0566056 | val_loss: 0.0568961 | Time: 4500.24 ms [2020-11-18 03:04:17 main:574] : INFO : Epoch 117 | loss: 0.0523757 | val_loss: 0.0461295 | Time: 4461.76 ms [2020-11-18 03:04:22 main:574] : INFO : Epoch 118 | loss: 0.039915 | val_loss: 0.0458755 | Time: 4454.06 ms [2020-11-18 03:04:27 main:574] : INFO : Epoch 119 | loss: 0.0338279 | val_loss: 0.0208751 | Time: 4591.09 ms [2020-11-18 03:04:31 main:574] : INFO : Epoch 120 | loss: 0.0160125 | val_loss: 0.0144088 | Time: 4544.61 ms [2020-11-18 03:04:36 main:574] : INFO : Epoch 121 | loss: 0.0118016 | val_loss: 0.0113867 | Time: 4491.03 ms [2020-11-18 03:04:40 main:574] : INFO : Epoch 122 | loss: 0.0104541 | val_loss: 0.0100435 | Time: 4527.29 ms [2020-11-18 03:04:45 main:574] : INFO : Epoch 123 | loss: 0.00960821 | val_loss: 0.00993354 | Time: 4842.64 ms [2020-11-18 03:04:50 main:574] : INFO : Epoch 124 | loss: 0.0090438 | val_loss: 0.00897811 | Time: 4509.22 ms [2020-11-18 03:04:55 main:574] : INFO : Epoch 125 | loss: 0.00851191 | val_loss: 0.00849922 | Time: 4534.79 ms [2020-11-18 03:04:59 main:574] : INFO : Epoch 126 | loss: 0.00857581 | val_loss: 0.0311158 | Time: 4526.24 ms [2020-11-18 03:05:04 main:574] : INFO : Epoch 127 | loss: 0.0116355 | val_loss: 0.00863472 | Time: 4535.06 ms [2020-11-18 03:05:09 main:574] : INFO : Epoch 128 | loss: 0.0119851 | val_loss: 0.00987345 | Time: 4550.21 ms [2020-11-18 03:05:13 main:574] : INFO : Epoch 129 | loss: 0.00835078 | val_loss: 0.00835613 | Time: 4538.67 ms [2020-11-18 03:05:18 main:574] : INFO : Epoch 130 | loss: 0.0075841 | val_loss: 0.0076902 | Time: 4502.15 ms [2020-11-18 03:05:22 main:574] : INFO : Epoch 131 | loss: 0.00711809 | val_loss: 0.00733259 | Time: 4487.79 ms [2020-11-18 03:05:27 main:574] : INFO : Epoch 132 | loss: 0.00692651 | val_loss: 0.0071148 | Time: 4524.72 ms [2020-11-18 03:05:32 main:574] : INFO : Epoch 133 | loss: 0.00664535 | val_loss: 0.00684326 | Time: 4488.11 ms [2020-11-18 03:05:36 main:574] : INFO : Epoch 134 | loss: 0.00644523 | val_loss: 0.00663664 | Time: 4489.28 ms [2020-11-18 03:05:41 main:574] : INFO : Epoch 135 | loss: 0.00630309 | val_loss: 0.00635622 | Time: 4539.15 ms [2020-11-18 03:05:45 main:574] : INFO : Epoch 136 | loss: 0.00617646 | val_loss: 0.00633008 | Time: 4528.57 ms [2020-11-18 03:05:50 main:574] : INFO : Epoch 137 | loss: 0.00596453 | val_loss: 0.00598099 | Time: 4502.55 ms [2020-11-18 03:05:54 main:574] : INFO : Epoch 138 | loss: 0.00577781 | val_loss: 0.00581803 | Time: 4473.85 ms [2020-11-18 03:05:59 main:574] : INFO : Epoch 139 | loss: 0.00562441 | val_loss: 0.00565799 | Time: 4500.57 ms [2020-11-18 03:06:04 main:574] : INFO : Epoch 140 | loss: 0.00555014 | val_loss: 0.0056252 | Time: 4487.4 ms [2020-11-18 03:06:08 main:574] : INFO : Epoch 141 | loss: 0.00534503 | val_loss: 0.00535701 | Time: 4505.94 ms [2020-11-18 03:06:13 main:574] : INFO : Epoch 142 | loss: 0.00518611 | val_loss: 0.00519185 | Time: 4432.59 ms [2020-11-18 03:06:17 main:574] : INFO : Epoch 143 | loss: 0.00503754 | val_loss: 0.00504994 | Time: 4479.05 ms [2020-11-18 03:06:22 main:574] : INFO : Epoch 144 | loss: 0.00489838 | val_loss: 0.0049075 | Time: 4507.78 ms [2020-11-18 03:06:26 main:574] : INFO : Epoch 145 | loss: 0.00476295 | val_loss: 0.00476953 | Time: 4472.72 ms [2020-11-18 03:06:31 main:574] : INFO : Epoch 146 | loss: 0.00462596 | val_loss: 0.00463605 | Time: 4469.66 ms [2020-11-18 03:06:36 main:574] : INFO : Epoch 147 | loss: 0.00449387 | val_loss: 0.00450428 | Time: 4479.52 ms [2020-11-18 03:06:40 main:574] : INFO : Epoch 148 | loss: 0.00437364 | val_loss: 0.00436932 | Time: 4488.01 ms [2020-11-18 03:06:45 main:574] : INFO : Epoch 149 | loss: 0.00423265 | val_loss: 0.00423196 | Time: 4473.73 ms [2020-11-18 03:06:49 main:574] : INFO : Epoch 150 | loss: 0.00410292 | val_loss: 0.0041071 | Time: 4455 ms [2020-11-18 03:06:54 main:574] : INFO : Epoch 151 | loss: 0.00397662 | val_loss: 0.00397222 | Time: 4456.31 ms [2020-11-18 03:06:58 main:574] : INFO : Epoch 152 | loss: 0.00385127 | val_loss: 0.00385 | Time: 4487.66 ms [2020-11-18 03:07:03 main:574] : INFO : Epoch 153 | loss: 0.00372812 | val_loss: 0.00372854 | Time: 4535.41 ms [2020-11-18 03:07:08 main:574] : INFO : Epoch 154 | loss: 0.00361154 | val_loss: 0.00360932 | Time: 4459.72 ms [2020-11-18 03:07:12 main:574] : INFO : Epoch 155 | loss: 0.0034877 | val_loss: 0.00347992 | Time: 4471.09 ms [2020-11-18 03:07:17 main:574] : INFO : Epoch 156 | loss: 0.0033682 | val_loss: 0.00336397 | Time: 4518.26 ms [2020-11-18 03:07:21 main:574] : INFO : Epoch 157 | loss: 0.00325442 | val_loss: 0.00325243 | Time: 4509.44 ms [2020-11-18 03:07:26 main:574] : INFO : Epoch 158 | loss: 0.00313663 | val_loss: 0.00313125 | Time: 4482.44 ms [2020-11-18 03:07:30 main:574] : INFO : Epoch 159 | loss: 0.00302668 | val_loss: 0.00302005 | Time: 4485.6 ms [2020-11-18 03:07:35 main:574] : INFO : Epoch 160 | loss: 0.00291708 | val_loss: 0.00291263 | Time: 4512.17 ms [2020-11-18 03:07:40 main:574] : INFO : Epoch 161 | loss: 0.00280831 | val_loss: 0.00280805 | Time: 4464.06 ms [2020-11-18 03:07:44 main:574] : INFO : Epoch 162 | loss: 0.00270426 | val_loss: 0.00269834 | Time: 4783.7 ms [2020-11-18 03:07:49 main:574] : INFO : Epoch 163 | loss: 0.00259688 | val_loss: 0.0025938 | Time: 4466.04 ms [2020-11-18 03:07:54 main:574] : INFO : Epoch 164 | loss: 0.00249861 | val_loss: 0.00249228 | Time: 4489.08 ms [2020-11-18 03:07:58 main:574] : INFO : Epoch 165 | loss: 0.00239945 | val_loss: 0.00238846 | Time: 4526.72 ms [2020-11-18 03:08:03 main:574] : INFO : Epoch 166 | loss: 0.00230336 | val_loss: 0.00229691 | Time: 4491.87 ms [2020-11-18 03:08:07 main:574] : INFO : Epoch 167 | loss: 0.00221113 | val_loss: 0.00221131 | Time: 4561.82 ms [2020-11-18 03:08:12 main:574] : INFO : Epoch 168 | loss: 0.00211585 | val_loss: 0.00210709 | Time: 4478.24 ms [2020-11-18 03:08:17 main:574] : INFO : Epoch 169 | loss: 0.00202539 | val_loss: 0.00201934 | Time: 4537.13 ms [2020-11-18 03:08:21 main:574] : INFO : Epoch 170 | loss: 0.00193977 | val_loss: 0.00193162 | Time: 4438.4 ms [2020-11-18 03:08:26 main:574] : INFO : Epoch 171 | loss: 0.00185619 | val_loss: 0.00184704 | Time: 4532.82 ms [2020-11-18 03:08:30 main:574] : INFO : Epoch 172 | loss: 0.00177485 | val_loss: 0.00177161 | Time: 4512 ms [2020-11-18 03:08:35 main:574] : INFO : Epoch 173 | loss: 0.00169613 | val_loss: 0.00169164 | Time: 4491.4 ms [2020-11-18 03:08:39 main:574] : INFO : Epoch 174 | loss: 0.00162032 | val_loss: 0.0016153 | Time: 4506.81 ms [2020-11-18 03:08:44 main:574] : INFO : Epoch 175 | loss: 0.00154688 | val_loss: 0.00153783 | Time: 4481.88 ms [2020-11-18 03:08:49 main:574] : INFO : Epoch 176 | loss: 0.00147565 | val_loss: 0.00146634 | Time: 4499.83 ms [2020-11-18 03:08:53 main:574] : INFO : Epoch 177 | loss: 0.00140753 | val_loss: 0.00140089 | Time: 4475.38 ms [2020-11-18 03:08:58 main:574] : INFO : Epoch 178 | loss: 0.00134154 | val_loss: 0.00133388 | Time: 4497.82 ms [2020-11-18 03:09:02 main:574] : INFO : Epoch 179 | loss: 0.00127856 | val_loss: 0.00127093 | Time: 4476.15 ms [2020-11-18 03:09:07 main:574] : INFO : Epoch 180 | loss: 0.00121768 | val_loss: 0.00121148 | Time: 4466.39 ms [2020-11-18 03:09:12 main:574] : INFO : Epoch 181 | loss: 0.00115997 | val_loss: 0.00115187 | Time: 4469.56 ms [2020-11-18 03:09:16 main:574] : INFO : Epoch 182 | loss: 0.0011041 | val_loss: 0.00109711 | Time: 4486.45 ms [2020-11-18 03:09:21 main:574] : INFO : Epoch 183 | loss: 0.00105088 | val_loss: 0.00104329 | Time: 4477.78 ms [2020-11-18 03:09:25 main:574] : INFO : Epoch 184 | loss: 0.000999949 | val_loss: 0.000995002 | Time: 4569.2 ms [2020-11-18 03:09:30 main:574] : INFO : Epoch 185 | loss: 0.000951524 | val_loss: 0.000947518 | Time: 4502.95 ms [2020-11-18 03:09:34 main:574] : INFO : Epoch 186 | loss: 0.000905409 | val_loss: 0.000900501 | Time: 4476.33 ms [2020-11-18 03:09:39 main:574] : INFO : Epoch 187 | loss: 0.000860466 | val_loss: 0.000854643 | Time: 4477.24 ms [2020-11-18 03:09:43 main:574] : INFO : Epoch 188 | loss: 0.00081868 | val_loss: 0.000814054 | Time: 4487.75 ms [2020-11-18 03:09:48 main:574] : INFO : Epoch 189 | loss: 0.000778508 | val_loss: 0.000773629 | Time: 4452.78 ms [2020-11-18 03:09:53 main:574] : INFO : Epoch 190 | loss: 0.000740288 | val_loss: 0.000737468 | Time: 4496.74 ms [2020-11-18 03:09:57 main:574] : INFO : Epoch 191 | loss: 0.00070458 | val_loss: 0.000700147 | Time: 4547.37 ms [2020-11-18 03:10:02 main:574] : INFO : Epoch 192 | loss: 0.000669077 | val_loss: 0.000666098 | Time: 4505.67 ms [2020-11-18 03:10:02 main:597] : INFO : Saving trained model to model-final.pt, val_loss 0.000666098 [2020-11-18 03:10:02 main:603] : INFO : Saving end state to config to file [2020-11-18 03:10:02 main:608] : INFO : Success, exiting.. 03:10:02 (10904): 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)