Task 2952735
| Name | rand_automata_0092-1605428132-14093-0_1 |
| Workunit | 1332162 |
| Created | 15 Nov 2020, 8:15:35 UTC |
| Sent | 19 Nov 2020, 16:35:28 UTC |
| Report deadline | 27 Nov 2020, 16:35:28 UTC |
| Received | 19 Nov 2020, 16:55:02 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 3097 |
| Run time | 19 min 1 sec |
| CPU time | 18 min 14 sec |
| Validate state | Valid |
| Credit | 959.40 |
| Device peak FLOPS | 1,641.98 GFLOPS |
| Application version | Machine Learning Dataset Generator (GPU) v9.75 (cuda10200) windows_x86_64 |
| Peak working set size | 1.41 GB |
| Peak swap size | 3.00 GB |
| Peak disk usage | 1.54 GB |
Stderr output
<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 GTX 750 Ti) [2020-11-19 11:35:52 main:435] : INFO : Set logging level to 1 [2020-11-19 11:35:52 main:441] : INFO : Running in BOINC Client mode [2020-11-19 11:35:52 main:444] : INFO : Resolving all filenames [2020-11-19 11:35:52 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0092-train-val-dataset.hdf5 (exists = 1) [2020-11-19 11:35:52 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0092-1605428132-14093-0_1_r295528207_1 (exists = 0) [2020-11-19 11:35:52 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0092-1605428132-14093-0_1_r295528207_0 (exists = 0) [2020-11-19 11:35:52 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 0) [2020-11-19 11:35:52 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-19 11:35:52 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/rand_automata_0092-train-val-dataset.hdf5 [2020-11-19 11:35:52 main:474] : INFO : Configuration: [2020-11-19 11:35:52 main:475] : INFO : Model type: LSTM [2020-11-19 11:35:52 main:476] : INFO : Validation Loss Threshold: 0.0001 [2020-11-19 11:35:52 main:477] : INFO : Max Epochs: 192 [2020-11-19 11:35:52 main:478] : INFO : Batch Size: 32 [2020-11-19 11:35:52 main:479] : INFO : Learning Rate: 0.001 [2020-11-19 11:35:53 main:480] : INFO : Patience: 10 [2020-11-19 11:35:53 main:481] : INFO : Hidden Width: 64 [2020-11-19 11:35:53 main:482] : INFO : # Recurrent Layers: 4 [2020-11-19 11:35:53 main:483] : INFO : # Backend Layers: 2 [2020-11-19 11:35:53 main:484] : INFO : # Threads: 1 [2020-11-19 11:35:53 main:486] : INFO : Preparing Dataset [2020-11-19 11:35:53 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0092-train-val-dataset.hdf5 into memory [2020-11-19 11:35:53 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0092-train-val-dataset.hdf5 into memory [2020-11-19 11:35:56 load:106] : INFO : Successfully loaded dataset of 4096 examples into memory. [2020-11-19 11:35:56 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0092-train-val-dataset.hdf5 into memory [2020-11-19 11:35:56 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0092-train-val-dataset.hdf5 into memory [2020-11-19 11:35:56 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-19 11:35:56 main:494] : INFO : Creating Model [2020-11-19 11:35:56 main:507] : INFO : Preparing config file [2020-11-19 11:35:56 main:519] : INFO : Creating new config file [2020-11-19 11:35:58 main:559] : INFO : Loading DataLoader into Memory [2020-11-19 11:36:11 main:562] : INFO : Starting Training [2020-11-19 11:36:17 main:574] : INFO : Epoch 1 | loss: 0.0664762 | val_loss: 0.0660029 | Time: 6201.94 ms [2020-11-19 11:36:23 main:574] : INFO : Epoch 2 | loss: 0.0657374 | val_loss: 0.0647769 | Time: 5783.9 ms [2020-11-19 11:36:29 main:574] : INFO : Epoch 3 | loss: 0.0634123 | val_loss: 0.0623629 | Time: 5664.38 ms [2020-11-19 11:36:34 main:574] : INFO : Epoch 4 | loss: 0.0612634 | val_loss: 0.0601748 | Time: 5632.85 ms [2020-11-19 11:36:40 main:574] : INFO : Epoch 5 | loss: 0.0592868 | val_loss: 0.0583493 | Time: 5628.04 ms [2020-11-19 11:36:46 main:574] : INFO : Epoch 6 | loss: 0.0576202 | val_loss: 0.0569019 | Time: 5622.68 ms [2020-11-19 11:36:51 main:574] : INFO : Epoch 7 | loss: 0.0563182 | val_loss: 0.0557463 | Time: 5636.1 ms [2020-11-19 11:36:57 main:574] : INFO : Epoch 8 | loss: 0.0551847 | val_loss: 0.0547752 | Time: 5636.29 ms [2020-11-19 11:37:03 main:574] : INFO : Epoch 9 | loss: 0.0540617 | val_loss: 0.0535453 | Time: 5626.61 ms [2020-11-19 11:37:09 main:574] : INFO : Epoch 10 | loss: 0.0529074 | val_loss: 0.0524303 | Time: 5630.05 ms [2020-11-19 11:37:14 main:574] : INFO : Epoch 11 | loss: 0.0516174 | val_loss: 0.0511576 | Time: 5633.69 ms [2020-11-19 11:37:20 main:574] : INFO : Epoch 12 | loss: 0.0501525 | val_loss: 0.0496138 | Time: 5646.52 ms [2020-11-19 11:37:26 main:574] : INFO : Epoch 13 | loss: 0.0483804 | val_loss: 0.0479532 | Time: 5694.72 ms [2020-11-19 11:37:31 main:574] : INFO : Epoch 14 | loss: 0.046296 | val_loss: 0.0457801 | Time: 5644.65 ms [2020-11-19 11:37:37 main:574] : INFO : Epoch 15 | loss: 0.0438949 | val_loss: 0.0431386 | Time: 5658.78 ms [2020-11-19 11:37:43 main:574] : INFO : Epoch 16 | loss: 0.0411317 | val_loss: 0.0408081 | Time: 5719.16 ms [2020-11-19 11:37:49 main:574] : INFO : Epoch 17 | loss: 0.0381145 | val_loss: 0.0374814 | Time: 5669.56 ms [2020-11-19 11:37:54 main:574] : INFO : Epoch 18 | loss: 0.0348131 | val_loss: 0.0347536 | Time: 5649.91 ms [2020-11-19 11:38:00 main:574] : INFO : Epoch 19 | loss: 0.0330298 | val_loss: 0.03312 | Time: 5661.92 ms [2020-11-19 11:38:06 main:574] : INFO : Epoch 20 | loss: 0.0300737 | val_loss: 0.0310241 | Time: 5679.99 ms [2020-11-19 11:38:12 main:574] : INFO : Epoch 21 | loss: 0.0279767 | val_loss: 0.0274182 | Time: 5634.42 ms [2020-11-19 11:38:17 main:574] : INFO : Epoch 22 | loss: 0.0286539 | val_loss: 0.0296929 | Time: 5636.59 ms [2020-11-19 11:38:23 main:574] : INFO : Epoch 23 | loss: 0.0569815 | val_loss: 0.055852 | Time: 5724.28 ms [2020-11-19 11:38:29 main:574] : INFO : Epoch 24 | loss: 0.0508276 | val_loss: 0.0430923 | Time: 5625.17 ms [2020-11-19 11:38:34 main:574] : INFO : Epoch 25 | loss: 0.0300332 | val_loss: 0.0254367 | Time: 5623.46 ms [2020-11-19 11:38:40 main:574] : INFO : Epoch 26 | loss: 0.0290378 | val_loss: 0.0348233 | Time: 5610.09 ms [2020-11-19 11:38:46 main:574] : INFO : Epoch 27 | loss: 0.0282359 | val_loss: 0.0534558 | Time: 5617.85 ms [2020-11-19 11:38:51 main:574] : INFO : Epoch 28 | loss: 0.0343722 | val_loss: 0.0236429 | Time: 5610.08 ms [2020-11-19 11:38:57 main:574] : INFO : Epoch 29 | loss: 0.017331 | val_loss: 0.0168744 | Time: 5602.04 ms [2020-11-19 11:39:03 main:574] : INFO : Epoch 30 | loss: 0.0169923 | val_loss: 0.0158014 | Time: 5637.96 ms [2020-11-19 11:39:08 main:574] : INFO : Epoch 31 | loss: 0.0159511 | val_loss: 0.0173141 | Time: 5692.3 ms [2020-11-19 11:39:14 main:574] : INFO : Epoch 32 | loss: 0.0172948 | val_loss: 0.01619 | Time: 5668.77 ms [2020-11-19 11:39:20 main:574] : INFO : Epoch 33 | loss: 0.0139858 | val_loss: 0.0128489 | Time: 5700.2 ms [2020-11-19 11:39:26 main:574] : INFO : Epoch 34 | loss: 0.0120353 | val_loss: 0.0122283 | Time: 5628 ms [2020-11-19 11:39:31 main:574] : INFO : Epoch 35 | loss: 0.0107966 | val_loss: 0.0214979 | Time: 5636.38 ms [2020-11-19 11:39:37 main:574] : INFO : Epoch 36 | loss: 0.0161134 | val_loss: 0.0115924 | Time: 5643.02 ms [2020-11-19 11:39:43 main:574] : INFO : Epoch 37 | loss: 0.0106755 | val_loss: 0.010862 | Time: 5657.16 ms [2020-11-19 11:39:48 main:574] : INFO : Epoch 38 | loss: 0.00961274 | val_loss: 0.00957095 | Time: 5719.18 ms [2020-11-19 11:39:54 main:574] : INFO : Epoch 39 | loss: 0.00910174 | val_loss: 0.0093497 | Time: 5888.72 ms [2020-11-19 11:40:00 main:574] : INFO : Epoch 40 | loss: 0.00867929 | val_loss: 0.00905983 | Time: 5903.39 ms [2020-11-19 11:40:06 main:574] : INFO : Epoch 41 | loss: 0.00839502 | val_loss: 0.00845951 | Time: 5875.54 ms [2020-11-19 11:40:12 main:574] : INFO : Epoch 42 | loss: 0.00806347 | val_loss: 0.00858458 | Time: 5869.42 ms [2020-11-19 11:40:18 main:574] : INFO : Epoch 43 | loss: 0.00783677 | val_loss: 0.00797062 | Time: 5866.83 ms [2020-11-19 11:40:24 main:574] : INFO : Epoch 44 | loss: 0.00755207 | val_loss: 0.00765398 | Time: 5550.19 ms [2020-11-19 11:40:30 main:574] : INFO : Epoch 45 | loss: 0.00731346 | val_loss: 0.00738712 | Time: 5752.87 ms [2020-11-19 11:40:35 main:574] : INFO : Epoch 46 | loss: 0.00708443 | val_loss: 0.00714897 | Time: 5709.86 ms [2020-11-19 11:40:41 main:574] : INFO : Epoch 47 | loss: 0.00686276 | val_loss: 0.00690563 | Time: 5659.61 ms [2020-11-19 11:40:47 main:574] : INFO : Epoch 48 | loss: 0.00664614 | val_loss: 0.00667318 | Time: 5650.67 ms [2020-11-19 11:40:52 main:574] : INFO : Epoch 49 | loss: 0.00643612 | val_loss: 0.00643514 | Time: 5660.88 ms [2020-11-19 11:40:58 main:574] : INFO : Epoch 50 | loss: 0.00622833 | val_loss: 0.00624095 | Time: 5667.33 ms [2020-11-19 11:41:04 main:574] : INFO : Epoch 51 | loss: 0.00603375 | val_loss: 0.00600852 | Time: 5697.17 ms [2020-11-19 11:41:10 main:574] : INFO : Epoch 52 | loss: 0.0208048 | val_loss: 0.0396303 | Time: 5665.42 ms [2020-11-19 11:41:15 main:574] : INFO : Epoch 53 | loss: 0.027896 | val_loss: 0.0346978 | Time: 5682.43 ms [2020-11-19 11:41:21 main:574] : INFO : Epoch 54 | loss: 0.0244224 | val_loss: 0.010981 | Time: 5721.54 ms [2020-11-19 11:41:27 main:574] : INFO : Epoch 55 | loss: 0.00912946 | val_loss: 0.00793331 | Time: 5648.29 ms [2020-11-19 11:41:33 main:574] : INFO : Epoch 56 | loss: 0.00728773 | val_loss: 0.00692059 | Time: 5641.66 ms [2020-11-19 11:41:38 main:574] : INFO : Epoch 57 | loss: 0.00662371 | val_loss: 0.00647197 | Time: 5620.34 ms [2020-11-19 11:41:44 main:574] : INFO : Epoch 58 | loss: 0.00623137 | val_loss: 0.00612348 | Time: 5590.71 ms [2020-11-19 11:41:50 main:574] : INFO : Epoch 59 | loss: 0.00593617 | val_loss: 0.00586036 | Time: 5629.33 ms [2020-11-19 11:41:55 main:574] : INFO : Epoch 60 | loss: 0.00570081 | val_loss: 0.00564524 | Time: 5628.38 ms [2020-11-19 11:42:01 main:574] : INFO : Epoch 61 | loss: 0.00550157 | val_loss: 0.00545077 | Time: 5628.76 ms [2020-11-19 11:42:07 main:574] : INFO : Epoch 62 | loss: 0.00532694 | val_loss: 0.0052842 | Time: 5630.82 ms [2020-11-19 11:42:12 main:574] : INFO : Epoch 63 | loss: 0.00516879 | val_loss: 0.00513246 | Time: 5617.87 ms [2020-11-19 11:42:18 main:574] : INFO : Epoch 64 | loss: 0.00502423 | val_loss: 0.00498983 | Time: 5634.44 ms [2020-11-19 11:42:24 main:574] : INFO : Epoch 65 | loss: 0.00488597 | val_loss: 0.00485775 | Time: 5629.29 ms [2020-11-19 11:42:30 main:574] : INFO : Epoch 66 | loss: 0.00475632 | val_loss: 0.00472814 | Time: 5870.85 ms [2020-11-19 11:42:35 main:574] : INFO : Epoch 67 | loss: 0.00463169 | val_loss: 0.00460089 | Time: 5889.53 ms [2020-11-19 11:42:41 main:574] : INFO : Epoch 68 | loss: 0.00450586 | val_loss: 0.00447982 | Time: 5891.42 ms [2020-11-19 11:42:47 main:574] : INFO : Epoch 69 | loss: 0.00509692 | val_loss: 0.00533293 | Time: 5873.78 ms [2020-11-19 11:42:53 main:574] : INFO : Epoch 70 | loss: 0.00451597 | val_loss: 0.00434293 | Time: 5777.42 ms [2020-11-19 11:42:59 main:574] : INFO : Epoch 71 | loss: 0.00421803 | val_loss: 0.00417843 | Time: 5760.83 ms [2020-11-19 11:43:05 main:574] : INFO : Epoch 72 | loss: 0.0040835 | val_loss: 0.00405335 | Time: 5656.35 ms [2020-11-19 11:43:10 main:574] : INFO : Epoch 73 | loss: 0.00396597 | val_loss: 0.00393708 | Time: 5667.12 ms [2020-11-19 11:43:16 main:574] : INFO : Epoch 74 | loss: 0.00385452 | val_loss: 0.00382701 | Time: 5666.89 ms [2020-11-19 11:43:22 main:574] : INFO : Epoch 75 | loss: 0.00374493 | val_loss: 0.00371434 | Time: 5665.58 ms [2020-11-19 11:43:28 main:574] : INFO : Epoch 76 | loss: 0.00363781 | val_loss: 0.00360995 | Time: 5641.37 ms [2020-11-19 11:43:33 main:574] : INFO : Epoch 77 | loss: 0.00353321 | val_loss: 0.00350456 | Time: 5875.79 ms [2020-11-19 11:43:39 main:574] : INFO : Epoch 78 | loss: 0.00342929 | val_loss: 0.0033998 | Time: 5788.3 ms [2020-11-19 11:43:45 main:574] : INFO : Epoch 79 | loss: 0.00332631 | val_loss: 0.00329506 | Time: 5856.72 ms [2020-11-19 11:43:51 main:574] : INFO : Epoch 80 | loss: 0.00322458 | val_loss: 0.00319637 | Time: 5872.7 ms [2020-11-19 11:43:57 main:574] : INFO : Epoch 81 | loss: 0.0031257 | val_loss: 0.00309721 | Time: 5746.58 ms [2020-11-19 11:44:02 main:574] : INFO : Epoch 82 | loss: 0.00302609 | val_loss: 0.00299726 | Time: 5528.63 ms [2020-11-19 11:44:08 main:574] : INFO : Epoch 83 | loss: 0.002929 | val_loss: 0.00290069 | Time: 5589.67 ms [2020-11-19 11:44:14 main:574] : INFO : Epoch 84 | loss: 0.00283455 | val_loss: 0.0028048 | Time: 5491.21 ms [2020-11-19 11:44:19 main:574] : INFO : Epoch 85 | loss: 0.00273973 | val_loss: 0.00270927 | Time: 5567.6 ms [2020-11-19 11:44:25 main:574] : INFO : Epoch 86 | loss: 0.00264838 | val_loss: 0.00261904 | Time: 5714.21 ms [2020-11-19 11:44:31 main:574] : INFO : Epoch 87 | loss: 0.00255782 | val_loss: 0.00252715 | Time: 5643.82 ms [2020-11-19 11:44:37 main:574] : INFO : Epoch 88 | loss: 0.00246938 | val_loss: 0.00244003 | Time: 5634.5 ms [2020-11-19 11:44:42 main:574] : INFO : Epoch 89 | loss: 0.00238239 | val_loss: 0.00235545 | Time: 5629.48 ms [2020-11-19 11:44:48 main:574] : INFO : Epoch 90 | loss: 0.00229817 | val_loss: 0.0022694 | Time: 5643.26 ms [2020-11-19 11:44:54 main:574] : INFO : Epoch 91 | loss: 0.00221486 | val_loss: 0.00218616 | Time: 5636.96 ms [2020-11-19 11:44:59 main:574] : INFO : Epoch 92 | loss: 0.0021336 | val_loss: 0.00210613 | Time: 5646.53 ms [2020-11-19 11:45:05 main:574] : INFO : Epoch 93 | loss: 0.002055 | val_loss: 0.00203024 | Time: 5648.54 ms [2020-11-19 11:45:11 main:574] : INFO : Epoch 94 | loss: 0.00197811 | val_loss: 0.00195235 | Time: 5630.34 ms [2020-11-19 11:45:16 main:574] : INFO : Epoch 95 | loss: 0.00190277 | val_loss: 0.00187843 | Time: 5631.13 ms [2020-11-19 11:45:22 main:574] : INFO : Epoch 96 | loss: 0.00182921 | val_loss: 0.00180603 | Time: 5771.32 ms [2020-11-19 11:45:28 main:574] : INFO : Epoch 97 | loss: 0.00175958 | val_loss: 0.00173339 | Time: 5687.65 ms [2020-11-19 11:45:34 main:574] : INFO : Epoch 98 | loss: 0.00169045 | val_loss: 0.0016663 | Time: 5691.32 ms [2020-11-19 11:45:40 main:574] : INFO : Epoch 99 | loss: 0.00162366 | val_loss: 0.00160275 | Time: 5705.45 ms [2020-11-19 11:45:45 main:574] : INFO : Epoch 100 | loss: 0.00155936 | val_loss: 0.00154108 | Time: 5625.94 ms [2020-11-19 11:45:51 main:574] : INFO : Epoch 101 | loss: 0.00149768 | val_loss: 0.00147904 | Time: 5433.48 ms [2020-11-19 11:45:56 main:574] : INFO : Epoch 102 | loss: 0.00143771 | val_loss: 0.00141724 | Time: 5681.25 ms [2020-11-19 11:46:02 main:574] : INFO : Epoch 103 | loss: 0.00138034 | val_loss: 0.00136132 | Time: 5695.46 ms [2020-11-19 11:46:08 main:574] : INFO : Epoch 104 | loss: 0.00132438 | val_loss: 0.00130504 | Time: 5686.91 ms [2020-11-19 11:46:14 main:574] : INFO : Epoch 105 | loss: 0.00127226 | val_loss: 0.00125499 | Time: 5665.42 ms [2020-11-19 11:46:19 main:574] : INFO : Epoch 106 | loss: 0.00122037 | val_loss: 0.00120288 | Time: 5739.29 ms [2020-11-19 11:46:25 main:574] : INFO : Epoch 107 | loss: 0.0011713 | val_loss: 0.00115457 | Time: 5657.76 ms [2020-11-19 11:46:31 main:574] : INFO : Epoch 108 | loss: 0.00112412 | val_loss: 0.00110667 | Time: 5651.37 ms [2020-11-19 11:46:37 main:574] : INFO : Epoch 109 | loss: 0.00107842 | val_loss: 0.00106251 | Time: 5645.04 ms [2020-11-19 11:46:42 main:574] : INFO : Epoch 110 | loss: 0.00103503 | val_loss: 0.00101909 | Time: 5628.58 ms [2020-11-19 11:46:48 main:574] : INFO : Epoch 111 | loss: 0.000992994 | val_loss: 0.000977792 | Time: 5645.1 ms [2020-11-19 11:46:54 main:574] : INFO : Epoch 112 | loss: 0.000952864 | val_loss: 0.000937318 | Time: 5634.04 ms [2020-11-19 11:46:59 main:574] : INFO : Epoch 113 | loss: 0.000914689 | val_loss: 0.000902882 | Time: 5628.93 ms [2020-11-19 11:47:05 main:574] : INFO : Epoch 114 | loss: 0.000877679 | val_loss: 0.000863721 | Time: 5630.44 ms [2020-11-19 11:47:11 main:574] : INFO : Epoch 115 | loss: 0.000841579 | val_loss: 0.000827306 | Time: 5646.38 ms [2020-11-19 11:47:16 main:574] : INFO : Epoch 116 | loss: 0.000808884 | val_loss: 0.000794148 | Time: 5643.8 ms [2020-11-19 11:47:22 main:574] : INFO : Epoch 117 | loss: 0.000775816 | val_loss: 0.000762769 | Time: 5733.41 ms [2020-11-19 11:47:28 main:574] : INFO : Epoch 118 | loss: 0.000745153 | val_loss: 0.000734292 | Time: 5639.25 ms [2020-11-19 11:47:34 main:574] : INFO : Epoch 119 | loss: 0.000715403 | val_loss: 0.000705676 | Time: 5617.47 ms [2020-11-19 11:47:39 main:574] : INFO : Epoch 120 | loss: 0.000686091 | val_loss: 0.000674153 | Time: 5644.94 ms [2020-11-19 11:47:45 main:574] : INFO : Epoch 121 | loss: 0.000659428 | val_loss: 0.000648371 | Time: 5665.17 ms [2020-11-19 11:47:51 main:574] : INFO : Epoch 122 | loss: 0.000633659 | val_loss: 0.000622264 | Time: 5707.54 ms [2020-11-19 11:47:57 main:574] : INFO : Epoch 123 | loss: 0.000607893 | val_loss: 0.000596847 | Time: 5879.21 ms [2020-11-19 11:48:03 main:574] : INFO : Epoch 124 | loss: 0.000583915 | val_loss: 0.000574939 | Time: 5877.35 ms [2020-11-19 11:48:08 main:574] : INFO : Epoch 125 | loss: 0.000562001 | val_loss: 0.000551184 | Time: 5704.77 ms [2020-11-19 11:48:14 main:574] : INFO : Epoch 126 | loss: 0.000539522 | val_loss: 0.000529683 | Time: 5711.94 ms [2020-11-19 11:48:20 main:574] : INFO : Epoch 127 | loss: 0.000519413 | val_loss: 0.000513252 | Time: 5723.69 ms [2020-11-19 11:48:26 main:574] : INFO : Epoch 128 | loss: 0.000499704 | val_loss: 0.000491285 | Time: 5660.86 ms [2020-11-19 11:48:31 main:574] : INFO : Epoch 129 | loss: 0.0004812 | val_loss: 0.000472808 | Time: 5635.97 ms [2020-11-19 11:48:37 main:574] : INFO : Epoch 130 | loss: 0.000462554 | val_loss: 0.000457304 | Time: 5701.34 ms [2020-11-19 11:48:43 main:574] : INFO : Epoch 131 | loss: 0.000445313 | val_loss: 0.000438855 | Time: 5885.02 ms [2020-11-19 11:48:49 main:574] : INFO : Epoch 132 | loss: 0.000428944 | val_loss: 0.000421416 | Time: 5914.34 ms [2020-11-19 11:48:55 main:574] : INFO : Epoch 133 | loss: 0.000413162 | val_loss: 0.000407215 | Time: 5953.2 ms [2020-11-19 11:49:01 main:574] : INFO : Epoch 134 | loss: 0.000399108 | val_loss: 0.00039274 | Time: 5802.42 ms [2020-11-19 11:49:07 main:574] : INFO : Epoch 135 | loss: 0.000384272 | val_loss: 0.000378169 | Time: 5661.59 ms [2020-11-19 11:49:12 main:574] : INFO : Epoch 136 | loss: 0.000370965 | val_loss: 0.000366385 | Time: 5676.92 ms [2020-11-19 11:49:18 main:574] : INFO : Epoch 137 | loss: 0.000357671 | val_loss: 0.000352232 | Time: 5673.26 ms [2020-11-19 11:49:24 main:574] : INFO : Epoch 138 | loss: 0.000346475 | val_loss: 0.000341064 | Time: 5632.24 ms [2020-11-19 11:49:29 main:574] : INFO : Epoch 139 | loss: 0.000334165 | val_loss: 0.000329451 | Time: 5632.93 ms [2020-11-19 11:49:35 main:574] : INFO : Epoch 140 | loss: 0.000322817 | val_loss: 0.000318861 | Time: 5628.97 ms [2020-11-19 11:49:41 main:574] : INFO : Epoch 141 | loss: 0.000312354 | val_loss: 0.000307938 | Time: 5631.22 ms [2020-11-19 11:49:47 main:574] : INFO : Epoch 142 | loss: 0.00030188 | val_loss: 0.000297337 | Time: 5634.13 ms [2020-11-19 11:49:52 main:574] : INFO : Epoch 143 | loss: 0.000292253 | val_loss: 0.000288788 | Time: 5626.69 ms [2020-11-19 11:49:58 main:574] : INFO : Epoch 144 | loss: 0.000283618 | val_loss: 0.000279663 | Time: 5641.24 ms [2020-11-19 11:50:04 main:574] : INFO : Epoch 145 | loss: 0.000274406 | val_loss: 0.00027217 | Time: 5637.1 ms [2020-11-19 11:50:09 main:574] : INFO : Epoch 146 | loss: 0.000266159 | val_loss: 0.000262722 | Time: 5633.26 ms [2020-11-19 11:50:15 main:574] : INFO : Epoch 147 | loss: 0.000258153 | val_loss: 0.000256359 | Time: 5623.28 ms [2020-11-19 11:50:21 main:574] : INFO : Epoch 148 | loss: 0.000249905 | val_loss: 0.000248228 | Time: 5638.28 ms [2020-11-19 11:50:26 main:574] : INFO : Epoch 149 | loss: 0.000243232 | val_loss: 0.000241366 | Time: 5646.46 ms [2020-11-19 11:50:32 main:574] : INFO : Epoch 150 | loss: 0.000236057 | val_loss: 0.000232946 | Time: 5633.84 ms [2020-11-19 11:50:38 main:574] : INFO : Epoch 151 | loss: 0.000228686 | val_loss: 0.000226886 | Time: 5631.67 ms [2020-11-19 11:50:43 main:574] : INFO : Epoch 152 | loss: 0.000222439 | val_loss: 0.000221959 | Time: 5631.25 ms [2020-11-19 11:50:49 main:574] : INFO : Epoch 153 | loss: 0.000216594 | val_loss: 0.000213335 | Time: 5630.54 ms [2020-11-19 11:50:55 main:574] : INFO : Epoch 154 | loss: 0.000210841 | val_loss: 0.000209599 | Time: 5652.27 ms [2020-11-19 11:51:01 main:574] : INFO : Epoch 155 | loss: 0.000205262 | val_loss: 0.000203146 | Time: 5882.15 ms [2020-11-19 11:51:07 main:574] : INFO : Epoch 156 | loss: 0.000200139 | val_loss: 0.000198844 | Time: 5861.9 ms [2020-11-19 11:51:13 main:574] : INFO : Epoch 157 | loss: 0.000194617 | val_loss: 0.000192898 | Time: 5873.57 ms [2020-11-19 11:51:18 main:574] : INFO : Epoch 158 | loss: 0.000189231 | val_loss: 0.000187232 | Time: 5750.64 ms [2020-11-19 11:51:24 main:574] : INFO : Epoch 159 | loss: 0.000184883 | val_loss: 0.000183967 | Time: 5672.45 ms [2020-11-19 11:51:30 main:574] : INFO : Epoch 160 | loss: 0.000180074 | val_loss: 0.000179189 | Time: 5533.58 ms [2020-11-19 11:51:36 main:574] : INFO : Epoch 161 | loss: 0.000175741 | val_loss: 0.000173475 | Time: 5717.68 ms [2020-11-19 11:51:41 main:574] : INFO : Epoch 162 | loss: 0.000171842 | val_loss: 0.000172112 | Time: 5690.91 ms [2020-11-19 11:51:47 main:574] : INFO : Epoch 163 | loss: 0.000167842 | val_loss: 0.000167563 | Time: 5719.39 ms [2020-11-19 11:51:53 main:574] : INFO : Epoch 164 | loss: 0.000163748 | val_loss: 0.000162636 | Time: 5670.02 ms [2020-11-19 11:51:59 main:574] : INFO : Epoch 165 | loss: 0.000160217 | val_loss: 0.000160624 | Time: 5682.2 ms [2020-11-19 11:52:04 main:574] : INFO : Epoch 166 | loss: 0.000156611 | val_loss: 0.000154751 | Time: 5696.06 ms [2020-11-19 11:52:10 main:574] : INFO : Epoch 167 | loss: 0.000153185 | val_loss: 0.000152311 | Time: 5664.53 ms [2020-11-19 11:52:16 main:574] : INFO : Epoch 168 | loss: 0.000149748 | val_loss: 0.000149865 | Time: 5667.69 ms [2020-11-19 11:52:22 main:574] : INFO : Epoch 169 | loss: 0.000146414 | val_loss: 0.0001441 | Time: 5725.26 ms [2020-11-19 11:52:27 main:574] : INFO : Epoch 170 | loss: 0.000143061 | val_loss: 0.000141383 | Time: 5619.71 ms [2020-11-19 11:52:33 main:574] : INFO : Epoch 171 | loss: 0.000141015 | val_loss: 0.00013889 | Time: 5713.98 ms [2020-11-19 11:52:39 main:574] : INFO : Epoch 172 | loss: 0.000137703 | val_loss: 0.000137894 | Time: 5461.61 ms [2020-11-19 11:52:44 main:574] : INFO : Epoch 173 | loss: 0.0001349 | val_loss: 0.000136613 | Time: 5653.67 ms [2020-11-19 11:52:50 main:574] : INFO : Epoch 174 | loss: 0.000132174 | val_loss: 0.000131492 | Time: 5657.08 ms [2020-11-19 11:52:56 main:574] : INFO : Epoch 175 | loss: 0.000129052 | val_loss: 0.000127903 | Time: 5624.12 ms [2020-11-19 11:53:01 main:574] : INFO : Epoch 176 | loss: 0.000126655 | val_loss: 0.000126505 | Time: 5627.91 ms [2020-11-19 11:53:07 main:574] : INFO : Epoch 177 | loss: 0.00012388 | val_loss: 0.000123589 | Time: 5646.97 ms [2020-11-19 11:53:13 main:574] : INFO : Epoch 178 | loss: 0.000121989 | val_loss: 0.000122055 | Time: 5648.52 ms [2020-11-19 11:53:18 main:574] : INFO : Epoch 179 | loss: 0.000119707 | val_loss: 0.000119469 | Time: 5657.54 ms [2020-11-19 11:53:24 main:574] : INFO : Epoch 180 | loss: 0.000117509 | val_loss: 0.000118342 | Time: 5712.25 ms [2020-11-19 11:53:30 main:574] : INFO : Epoch 181 | loss: 0.000115101 | val_loss: 0.000115599 | Time: 5867.99 ms [2020-11-19 11:53:36 main:574] : INFO : Epoch 182 | loss: 0.000113671 | val_loss: 0.000112413 | Time: 5843.54 ms [2020-11-19 11:53:42 main:574] : INFO : Epoch 183 | loss: 0.000111717 | val_loss: 0.000110712 | Time: 5667.08 ms [2020-11-19 11:53:47 main:574] : INFO : Epoch 184 | loss: 0.000109414 | val_loss: 0.000111 | Time: 5681.78 ms [2020-11-19 11:53:53 main:574] : INFO : Epoch 185 | loss: 0.000107908 | val_loss: 0.000107907 | Time: 5679.57 ms [2020-11-19 11:53:59 main:574] : INFO : Epoch 186 | loss: 0.000105921 | val_loss: 0.000105847 | Time: 5667.15 ms [2020-11-19 11:54:05 main:574] : INFO : Epoch 187 | loss: 0.000104053 | val_loss: 0.000104206 | Time: 5678.93 ms [2020-11-19 11:54:10 main:574] : INFO : Epoch 188 | loss: 0.000102503 | val_loss: 0.000101652 | Time: 5654.91 ms [2020-11-19 11:54:16 main:574] : INFO : Epoch 189 | loss: 0.000100813 | val_loss: 0.000100534 | Time: 5654.08 ms [2020-11-19 11:54:22 main:574] : INFO : Epoch 190 | loss: 9.93895e-05 | val_loss: 9.95846e-05 | Time: 5726.54 ms [2020-11-19 11:54:28 main:574] : INFO : Epoch 191 | loss: 9.73774e-05 | val_loss: 9.82769e-05 | Time: 5654.41 ms [2020-11-19 11:54:33 main:574] : INFO : Epoch 192 | loss: 9.61374e-05 | val_loss: 9.64814e-05 | Time: 5629.99 ms [2020-11-19 11:54:33 main:597] : INFO : Saving trained model to model-final.pt, val_loss 9.64814e-05 [2020-11-19 11:54:33 main:603] : INFO : Saving end state to config to file [2020-11-19 11:54:33 main:608] : INFO : Success, exiting.. 11:54:33 (8244): 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)