Task 2844816
| Name | rand_automata_0082-1604983236-29952-1_0 |
| Workunit | 1282590 |
| Created | 11 Nov 2020, 7:43:05 UTC |
| Sent | 11 Nov 2020, 7:43:26 UTC |
| Report deadline | 18 Nov 2020, 7:43:26 UTC |
| Received | 11 Nov 2020, 12:32:37 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 1545 |
| Run time | 13 min 21 sec |
| CPU time | 12 min 41 sec |
| Validate state | Valid |
| Credit | 959.40 |
| Device peak FLOPS | 4,174.60 GFLOPS |
| Application version | Machine Learning Dataset Generator (test) v9.75 (cuda10200) windows_x86_64 |
| Peak working set size | 1.41 GB |
| Peak swap size | 3.04 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 GTX 970) [2020-11-11 14:19:12 main:435] : INFO : Set logging level to 1 [2020-11-11 14:19:12 main:441] : INFO : Running in BOINC Client mode [2020-11-11 14:19:13 main:444] : INFO : Resolving all filenames [2020-11-11 14:19:13 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-train-val-dataset.hdf5 (exists = 1) [2020-11-11 14:19:13 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-1604983236-29952-1_0_r107008492_1 (exists = 0) [2020-11-11 14:19:13 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-1604983236-29952-1_0_r107008492_0 (exists = 0) [2020-11-11 14:19:13 main:452] : INFO : Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-1604983236-29952-1 (exists = 1) [2020-11-11 14:19:13 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-11 14:19:13 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-train-val-dataset.hdf5 [2020-11-11 14:19:13 main:474] : INFO : Configuration: [2020-11-11 14:19:13 main:475] : INFO : Model type: LSTM [2020-11-11 14:19:13 main:476] : INFO : Validation Loss Threshold: 0.0001 [2020-11-11 14:19:13 main:477] : INFO : Max Epochs: 192 [2020-11-11 14:19:13 main:478] : INFO : Batch Size: 32 [2020-11-11 14:19:13 main:479] : INFO : Learning Rate: 0.001 [2020-11-11 14:19:13 main:480] : INFO : Patience: 10 [2020-11-11 14:19:13 main:481] : INFO : Hidden Width: 64 [2020-11-11 14:19:13 main:482] : INFO : # Recurrent Layers: 4 [2020-11-11 14:19:13 main:483] : INFO : # Backend Layers: 2 [2020-11-11 14:19:13 main:484] : INFO : # Threads: 1 [2020-11-11 14:19:13 main:486] : INFO : Preparing Dataset [2020-11-11 14:19:13 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-train-val-dataset.hdf5 into memory [2020-11-11 14:19:13 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-train-val-dataset.hdf5 into memory [2020-11-11 14:19:15 load:106] : INFO : Successfully loaded dataset of 4096 examples into memory. [2020-11-11 14:19:15 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-train-val-dataset.hdf5 into memory [2020-11-11 14:19:15 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-train-val-dataset.hdf5 into memory [2020-11-11 14:19:15 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-11 14:19:15 main:494] : INFO : Creating Model [2020-11-11 14:19:15 main:507] : INFO : Preparing config file [2020-11-11 14:19:15 main:519] : INFO : Creating new config file [2020-11-11 14:19:15 main:538] : INFO : This is a continuation WU, loading previous network [2020-11-11 14:19:16 main:559] : INFO : Loading DataLoader into Memory [2020-11-11 14:19:16 main:562] : INFO : Starting Training [2020-11-11 14:19:21 main:574] : INFO : Epoch 1 | loss: 0.00460274 | val_loss: 0.00312716 | Time: 4372.33 ms [2020-11-11 14:19:24 main:574] : INFO : Epoch 2 | loss: 0.00249499 | val_loss: 0.00206117 | Time: 3842.03 ms [2020-11-11 14:19:29 main:574] : INFO : Epoch 3 | loss: 0.00183112 | val_loss: 0.00155452 | Time: 4104.09 ms [2020-11-11 14:19:33 main:574] : INFO : Epoch 4 | loss: 0.00135893 | val_loss: 0.00120723 | Time: 4108.82 ms [2020-11-11 14:19:37 main:574] : INFO : Epoch 5 | loss: 0.00108945 | val_loss: 0.000993233 | Time: 3840.19 ms [2020-11-11 14:19:41 main:574] : INFO : Epoch 6 | loss: 0.000913279 | val_loss: 0.000847393 | Time: 4103.43 ms [2020-11-11 14:19:45 main:574] : INFO : Epoch 7 | loss: 0.000789635 | val_loss: 0.000742089 | Time: 3860.03 ms [2020-11-11 14:19:49 main:574] : INFO : Epoch 8 | loss: 0.000698696 | val_loss: 0.000662488 | Time: 4103.48 ms [2020-11-11 14:19:53 main:574] : INFO : Epoch 9 | loss: 0.000629188 | val_loss: 0.000603076 | Time: 4019.8 ms [2020-11-11 14:19:57 main:574] : INFO : Epoch 10 | loss: 0.000575213 | val_loss: 0.0005541 | Time: 4019.21 ms [2020-11-11 14:20:01 main:574] : INFO : Epoch 11 | loss: 0.000531932 | val_loss: 0.00051535 | Time: 4215.23 ms [2020-11-11 14:20:05 main:574] : INFO : Epoch 12 | loss: 0.000496954 | val_loss: 0.000483404 | Time: 3814.69 ms [2020-11-11 14:20:09 main:574] : INFO : Epoch 13 | loss: 0.000467969 | val_loss: 0.000456997 | Time: 4106.99 ms [2020-11-11 14:20:13 main:574] : INFO : Epoch 14 | loss: 0.000443637 | val_loss: 0.00043493 | Time: 3963.91 ms [2020-11-11 14:20:17 main:574] : INFO : Epoch 15 | loss: 0.000423385 | val_loss: 0.000415623 | Time: 3948.33 ms [2020-11-11 14:20:21 main:574] : INFO : Epoch 16 | loss: 0.000405593 | val_loss: 0.000399795 | Time: 4069.15 ms [2020-11-11 14:20:25 main:574] : INFO : Epoch 17 | loss: 0.000390318 | val_loss: 0.000384365 | Time: 3807.43 ms [2020-11-11 14:20:29 main:574] : INFO : Epoch 18 | loss: 0.000377123 | val_loss: 0.000372319 | Time: 4110.07 ms [2020-11-11 14:20:33 main:574] : INFO : Epoch 19 | loss: 0.000365661 | val_loss: 0.000361847 | Time: 3942.29 ms [2020-11-11 14:20:38 main:574] : INFO : Epoch 20 | loss: 0.000355527 | val_loss: 0.000351762 | Time: 4049.53 ms [2020-11-11 14:20:42 main:574] : INFO : Epoch 21 | loss: 0.000346191 | val_loss: 0.000342626 | Time: 4085.56 ms [2020-11-11 14:20:46 main:574] : INFO : Epoch 22 | loss: 0.000338038 | val_loss: 0.000335872 | Time: 3853.79 ms [2020-11-11 14:20:50 main:574] : INFO : Epoch 23 | loss: 0.000330864 | val_loss: 0.000328228 | Time: 4143.35 ms [2020-11-11 14:20:54 main:574] : INFO : Epoch 24 | loss: 0.000324262 | val_loss: 0.00032254 | Time: 3874.47 ms [2020-11-11 14:20:58 main:574] : INFO : Epoch 25 | loss: 0.000318291 | val_loss: 0.000315692 | Time: 4125.3 ms [2020-11-11 14:21:02 main:574] : INFO : Epoch 26 | loss: 0.000312374 | val_loss: 0.000310071 | Time: 4071.36 ms [2020-11-11 14:21:06 main:574] : INFO : Epoch 27 | loss: 0.000307342 | val_loss: 0.000305169 | Time: 3846.73 ms [2020-11-11 14:21:10 main:574] : INFO : Epoch 28 | loss: 0.000303177 | val_loss: 0.000302544 | Time: 4120.79 ms [2020-11-11 14:21:14 main:574] : INFO : Epoch 29 | loss: 0.00029765 | val_loss: 0.000297117 | Time: 3779.26 ms [2020-11-11 14:21:18 main:574] : INFO : Epoch 30 | loss: 0.000293459 | val_loss: 0.000291685 | Time: 4073.52 ms [2020-11-11 14:21:22 main:574] : INFO : Epoch 31 | loss: 0.000289716 | val_loss: 0.000288743 | Time: 4065.82 ms [2020-11-11 14:21:26 main:574] : INFO : Epoch 32 | loss: 0.000285792 | val_loss: 0.000284692 | Time: 3834.91 ms [2020-11-11 14:21:30 main:574] : INFO : Epoch 33 | loss: 0.000282066 | val_loss: 0.00028104 | Time: 4073.61 ms [2020-11-11 14:21:34 main:574] : INFO : Epoch 34 | loss: 0.000278811 | val_loss: 0.000279109 | Time: 3819.51 ms [2020-11-11 14:21:38 main:574] : INFO : Epoch 35 | loss: 0.000275378 | val_loss: 0.000274491 | Time: 4101.16 ms [2020-11-11 14:21:42 main:574] : INFO : Epoch 36 | loss: 0.000272515 | val_loss: 0.000271018 | Time: 4091.73 ms [2020-11-11 14:21:46 main:574] : INFO : Epoch 37 | loss: 0.000268941 | val_loss: 0.000268632 | Time: 3819.05 ms [2020-11-11 14:21:50 main:574] : INFO : Epoch 38 | loss: 0.000266809 | val_loss: 0.000265358 | Time: 4112.87 ms [2020-11-11 14:21:54 main:574] : INFO : Epoch 39 | loss: 0.000262702 | val_loss: 0.000262713 | Time: 3822.33 ms [2020-11-11 14:21:59 main:574] : INFO : Epoch 40 | loss: 0.000260255 | val_loss: 0.000260131 | Time: 4158.6 ms [2020-11-11 14:22:03 main:574] : INFO : Epoch 41 | loss: 0.000257217 | val_loss: 0.000257157 | Time: 4095.22 ms [2020-11-11 14:22:07 main:574] : INFO : Epoch 42 | loss: 0.000254554 | val_loss: 0.000255007 | Time: 3796.28 ms [2020-11-11 14:22:11 main:574] : INFO : Epoch 43 | loss: 0.000252043 | val_loss: 0.000251476 | Time: 4079.46 ms [2020-11-11 14:22:15 main:574] : INFO : Epoch 44 | loss: 0.00024891 | val_loss: 0.000250817 | Time: 3832.02 ms [2020-11-11 14:22:19 main:574] : INFO : Epoch 45 | loss: 0.000246295 | val_loss: 0.000248164 | Time: 4093.76 ms [2020-11-11 14:22:23 main:574] : INFO : Epoch 46 | loss: 0.0238483 | val_loss: 0.0611482 | Time: 4067.45 ms [2020-11-11 14:22:27 main:574] : INFO : Epoch 47 | loss: 0.060676 | val_loss: 0.0603449 | Time: 3830.19 ms [2020-11-11 14:22:31 main:574] : INFO : Epoch 48 | loss: 0.0600666 | val_loss: 0.0597983 | Time: 4438.6 ms [2020-11-11 14:22:35 main:574] : INFO : Epoch 49 | loss: 0.0595656 | val_loss: 0.0593 | Time: 3941.04 ms [2020-11-11 14:22:39 main:574] : INFO : Epoch 50 | loss: 0.0589779 | val_loss: 0.05864 | Time: 4099.87 ms [2020-11-11 14:22:43 main:574] : INFO : Epoch 51 | loss: 0.0582406 | val_loss: 0.057792 | Time: 3971.77 ms [2020-11-11 14:22:47 main:574] : INFO : Epoch 52 | loss: 0.0573536 | val_loss: 0.0568368 | Time: 4020.27 ms [2020-11-11 14:22:52 main:574] : INFO : Epoch 53 | loss: 0.0563452 | val_loss: 0.0556806 | Time: 4153.44 ms [2020-11-11 14:22:56 main:574] : INFO : Epoch 54 | loss: 0.0549787 | val_loss: 0.0539806 | Time: 3835.23 ms [2020-11-11 14:23:00 main:574] : INFO : Epoch 55 | loss: 0.0528529 | val_loss: 0.0512005 | Time: 4123.98 ms [2020-11-11 14:23:04 main:574] : INFO : Epoch 56 | loss: 0.0503439 | val_loss: 0.0492587 | Time: 3869.63 ms [2020-11-11 14:23:08 main:574] : INFO : Epoch 57 | loss: 0.0460247 | val_loss: 0.0429818 | Time: 4022.92 ms [2020-11-11 14:23:12 main:574] : INFO : Epoch 58 | loss: 0.0437323 | val_loss: 0.0589044 | Time: 4123.14 ms [2020-11-11 14:23:16 main:574] : INFO : Epoch 59 | loss: 0.0572856 | val_loss: 0.0554575 | Time: 3806.39 ms [2020-11-11 14:23:20 main:574] : INFO : Epoch 60 | loss: 0.0539961 | val_loss: 0.0523631 | Time: 4112.29 ms [2020-11-11 14:23:24 main:574] : INFO : Epoch 61 | loss: 0.0505624 | val_loss: 0.0480769 | Time: 3819.75 ms [2020-11-11 14:23:28 main:574] : INFO : Epoch 62 | loss: 0.0451899 | val_loss: 0.0406381 | Time: 4115.43 ms [2020-11-11 14:23:32 main:574] : INFO : Epoch 63 | loss: 0.0345834 | val_loss: 0.0290882 | Time: 4093.15 ms [2020-11-11 14:23:36 main:574] : INFO : Epoch 64 | loss: 0.0258219 | val_loss: 0.0312287 | Time: 3830.94 ms [2020-11-11 14:23:40 main:574] : INFO : Epoch 65 | loss: 0.0282035 | val_loss: 0.0236049 | Time: 4062.14 ms [2020-11-11 14:23:44 main:574] : INFO : Epoch 66 | loss: 0.0473248 | val_loss: 0.0536302 | Time: 3808.69 ms [2020-11-11 14:23:48 main:574] : INFO : Epoch 67 | loss: 0.0526179 | val_loss: 0.0571804 | Time: 4159.87 ms [2020-11-11 14:23:52 main:574] : INFO : Epoch 68 | loss: 0.0560513 | val_loss: 0.0548007 | Time: 4100.73 ms [2020-11-11 14:23:56 main:574] : INFO : Epoch 69 | loss: 0.0536793 | val_loss: 0.052112 | Time: 3805.84 ms [2020-11-11 14:24:00 main:574] : INFO : Epoch 70 | loss: 0.050429 | val_loss: 0.0482779 | Time: 4112.42 ms [2020-11-11 14:24:04 main:574] : INFO : Epoch 71 | loss: 0.0449524 | val_loss: 0.0409911 | Time: 3791.73 ms [2020-11-11 14:24:08 main:574] : INFO : Epoch 72 | loss: 0.0398108 | val_loss: 0.0428856 | Time: 4090.63 ms [2020-11-11 14:24:13 main:574] : INFO : Epoch 73 | loss: 0.0500179 | val_loss: 0.0465212 | Time: 4100.73 ms [2020-11-11 14:24:16 main:574] : INFO : Epoch 74 | loss: 0.041848 | val_loss: 0.0350103 | Time: 3842.38 ms [2020-11-11 14:24:21 main:574] : INFO : Epoch 75 | loss: 0.0383576 | val_loss: 0.0453633 | Time: 4076.76 ms [2020-11-11 14:24:24 main:574] : INFO : Epoch 76 | loss: 0.0372738 | val_loss: 0.0286589 | Time: 3820.72 ms [2020-11-11 14:24:29 main:574] : INFO : Epoch 77 | loss: 0.022138 | val_loss: 0.0152399 | Time: 4195.49 ms [2020-11-11 14:24:33 main:574] : INFO : Epoch 78 | loss: 0.0117431 | val_loss: 0.0102146 | Time: 4093.57 ms [2020-11-11 14:24:37 main:574] : INFO : Epoch 79 | loss: 0.00822098 | val_loss: 0.0074176 | Time: 3844.3 ms [2020-11-11 14:24:41 main:574] : INFO : Epoch 80 | loss: 0.00663048 | val_loss: 0.00633239 | Time: 4098.69 ms [2020-11-11 14:24:45 main:574] : INFO : Epoch 81 | loss: 0.0056252 | val_loss: 0.00541846 | Time: 3833.15 ms [2020-11-11 14:24:49 main:574] : INFO : Epoch 82 | loss: 0.00522257 | val_loss: 0.00520167 | Time: 4107.29 ms [2020-11-11 14:24:53 main:574] : INFO : Epoch 83 | loss: 0.00472767 | val_loss: 0.00461865 | Time: 4046.35 ms [2020-11-11 14:24:57 main:574] : INFO : Epoch 84 | loss: 0.00422151 | val_loss: 0.0042296 | Time: 3823.29 ms [2020-11-11 14:25:01 main:574] : INFO : Epoch 85 | loss: 0.00384162 | val_loss: 0.00384257 | Time: 4089.31 ms [2020-11-11 14:25:05 main:574] : INFO : Epoch 86 | loss: 0.00355356 | val_loss: 0.0035026 | Time: 3827.87 ms [2020-11-11 14:25:09 main:574] : INFO : Epoch 87 | loss: 0.0033081 | val_loss: 0.00324085 | Time: 4090.6 ms [2020-11-11 14:25:13 main:574] : INFO : Epoch 88 | loss: 0.00308322 | val_loss: 0.00302078 | Time: 4035.36 ms [2020-11-11 14:25:17 main:574] : INFO : Epoch 89 | loss: 0.00289138 | val_loss: 0.00283891 | Time: 3917.01 ms [2020-11-11 14:25:21 main:574] : INFO : Epoch 90 | loss: 0.00273259 | val_loss: 0.00264816 | Time: 4109.09 ms [2020-11-11 14:25:25 main:574] : INFO : Epoch 91 | loss: 0.00255101 | val_loss: 0.00248954 | Time: 3827.21 ms [2020-11-11 14:25:29 main:574] : INFO : Epoch 92 | loss: 0.00240222 | val_loss: 0.00234871 | Time: 4161.05 ms [2020-11-11 14:25:33 main:574] : INFO : Epoch 93 | loss: 0.00226706 | val_loss: 0.0022206 | Time: 3952.74 ms [2020-11-11 14:25:37 main:574] : INFO : Epoch 94 | loss: 0.0021452 | val_loss: 0.00209941 | Time: 3984.34 ms [2020-11-11 14:25:42 main:574] : INFO : Epoch 95 | loss: 0.00203325 | val_loss: 0.00200189 | Time: 4116.25 ms [2020-11-11 14:25:46 main:574] : INFO : Epoch 96 | loss: 0.00192845 | val_loss: 0.00188269 | Time: 3861.94 ms [2020-11-11 14:25:50 main:574] : INFO : Epoch 97 | loss: 0.001825 | val_loss: 0.00178714 | Time: 4080.69 ms [2020-11-11 14:25:54 main:574] : INFO : Epoch 98 | loss: 0.00173316 | val_loss: 0.00169786 | Time: 3888.54 ms [2020-11-11 14:25:58 main:574] : INFO : Epoch 99 | loss: 0.00164641 | val_loss: 0.00161103 | Time: 4037.13 ms [2020-11-11 14:26:02 main:574] : INFO : Epoch 100 | loss: 0.00156547 | val_loss: 0.00153217 | Time: 4111.55 ms [2020-11-11 14:26:06 main:574] : INFO : Epoch 101 | loss: 0.00148962 | val_loss: 0.00145618 | Time: 3835.2 ms [2020-11-11 14:26:10 main:574] : INFO : Epoch 102 | loss: 0.00141782 | val_loss: 0.0013879 | Time: 4083.97 ms [2020-11-11 14:26:14 main:574] : INFO : Epoch 103 | loss: 0.00135043 | val_loss: 0.00132119 | Time: 3844.38 ms [2020-11-11 14:26:18 main:574] : INFO : Epoch 104 | loss: 0.00128676 | val_loss: 0.00125882 | Time: 4082.27 ms [2020-11-11 14:26:22 main:574] : INFO : Epoch 105 | loss: 0.00122698 | val_loss: 0.00120073 | Time: 4112.03 ms [2020-11-11 14:26:26 main:574] : INFO : Epoch 106 | loss: 0.00116996 | val_loss: 0.00114463 | Time: 3863.01 ms [2020-11-11 14:26:30 main:574] : INFO : Epoch 107 | loss: 0.00111626 | val_loss: 0.00109275 | Time: 4131.72 ms [2020-11-11 14:26:34 main:574] : INFO : Epoch 108 | loss: 0.00106572 | val_loss: 0.00104273 | Time: 3830.34 ms [2020-11-11 14:26:38 main:574] : INFO : Epoch 109 | loss: 0.00101801 | val_loss: 0.000996696 | Time: 4138.88 ms [2020-11-11 14:26:42 main:574] : INFO : Epoch 110 | loss: 0.000972867 | val_loss: 0.000953194 | Time: 4089.57 ms [2020-11-11 14:26:46 main:574] : INFO : Epoch 111 | loss: 0.000930045 | val_loss: 0.000911224 | Time: 3808.89 ms [2020-11-11 14:26:50 main:574] : INFO : Epoch 112 | loss: 0.000889959 | val_loss: 0.000871947 | Time: 4103.29 ms [2020-11-11 14:26:55 main:574] : INFO : Epoch 113 | loss: 0.00085197 | val_loss: 0.000835306 | Time: 3971.25 ms [2020-11-11 14:26:59 main:574] : INFO : Epoch 114 | loss: 0.000816204 | val_loss: 0.000801418 | Time: 4130.52 ms [2020-11-11 14:27:03 main:574] : INFO : Epoch 115 | loss: 0.000782269 | val_loss: 0.00076873 | Time: 4112.44 ms [2020-11-11 14:27:07 main:574] : INFO : Epoch 116 | loss: 0.000750778 | val_loss: 0.000737199 | Time: 3837.89 ms [2020-11-11 14:27:11 main:574] : INFO : Epoch 117 | loss: 0.000720623 | val_loss: 0.000708053 | Time: 4111.88 ms [2020-11-11 14:27:15 main:574] : INFO : Epoch 118 | loss: 0.000692184 | val_loss: 0.000680927 | Time: 3862.58 ms [2020-11-11 14:27:19 main:574] : INFO : Epoch 119 | loss: 0.000665508 | val_loss: 0.000654682 | Time: 4116.49 ms [2020-11-11 14:27:23 main:574] : INFO : Epoch 120 | loss: 0.00064035 | val_loss: 0.000629941 | Time: 4033.76 ms [2020-11-11 14:27:27 main:574] : INFO : Epoch 121 | loss: 0.000616679 | val_loss: 0.000606961 | Time: 3933.67 ms [2020-11-11 14:27:31 main:574] : INFO : Epoch 122 | loss: 0.000594099 | val_loss: 0.000585918 | Time: 4096.37 ms [2020-11-11 14:27:35 main:574] : INFO : Epoch 123 | loss: 0.000573156 | val_loss: 0.000564732 | Time: 3911.55 ms [2020-11-11 14:27:40 main:574] : INFO : Epoch 124 | loss: 0.000553131 | val_loss: 0.00054584 | Time: 4380.9 ms [2020-11-11 14:27:44 main:574] : INFO : Epoch 125 | loss: 0.000534196 | val_loss: 0.000526957 | Time: 3885.63 ms [2020-11-11 14:27:48 main:574] : INFO : Epoch 126 | loss: 0.000516484 | val_loss: 0.000509971 | Time: 4064.3 ms [2020-11-11 14:27:52 main:574] : INFO : Epoch 127 | loss: 0.000499648 | val_loss: 0.000493822 | Time: 4107.93 ms [2020-11-11 14:27:56 main:574] : INFO : Epoch 128 | loss: 0.00048384 | val_loss: 0.000478505 | Time: 3982.5 ms [2020-11-11 14:28:00 main:574] : INFO : Epoch 129 | loss: 0.000468719 | val_loss: 0.000462961 | Time: 4094.32 ms [2020-11-11 14:28:04 main:574] : INFO : Epoch 130 | loss: 0.000454638 | val_loss: 0.000449617 | Time: 3829.1 ms [2020-11-11 14:28:08 main:574] : INFO : Epoch 131 | loss: 0.000441233 | val_loss: 0.000436734 | Time: 4115.68 ms [2020-11-11 14:28:12 main:574] : INFO : Epoch 132 | loss: 0.000428583 | val_loss: 0.000424024 | Time: 4100.21 ms [2020-11-11 14:28:16 main:574] : INFO : Epoch 133 | loss: 0.000416667 | val_loss: 0.000412755 | Time: 3806.86 ms [2020-11-11 14:28:20 main:574] : INFO : Epoch 134 | loss: 0.000405528 | val_loss: 0.000401745 | Time: 4124.48 ms [2020-11-11 14:28:24 main:574] : INFO : Epoch 135 | loss: 0.000395144 | val_loss: 0.000391285 | Time: 3807.2 ms [2020-11-11 14:28:28 main:574] : INFO : Epoch 136 | loss: 0.00038488 | val_loss: 0.000381605 | Time: 4138.95 ms [2020-11-11 14:28:33 main:574] : INFO : Epoch 137 | loss: 0.000375503 | val_loss: 0.000372493 | Time: 4104.73 ms [2020-11-11 14:28:36 main:574] : INFO : Epoch 138 | loss: 0.00036663 | val_loss: 0.000363689 | Time: 3795.48 ms [2020-11-11 14:28:41 main:574] : INFO : Epoch 139 | loss: 0.000358216 | val_loss: 0.000355669 | Time: 4057.2 ms [2020-11-11 14:28:44 main:574] : INFO : Epoch 140 | loss: 0.000350365 | val_loss: 0.000347842 | Time: 3842.72 ms [2020-11-11 14:28:49 main:574] : INFO : Epoch 141 | loss: 0.000342745 | val_loss: 0.000340745 | Time: 4083.71 ms [2020-11-11 14:28:53 main:574] : INFO : Epoch 142 | loss: 0.000335709 | val_loss: 0.000333461 | Time: 4036.18 ms [2020-11-11 14:28:57 main:574] : INFO : Epoch 143 | loss: 0.000329173 | val_loss: 0.000327794 | Time: 3823.02 ms [2020-11-11 14:29:01 main:574] : INFO : Epoch 144 | loss: 0.000322774 | val_loss: 0.000320791 | Time: 4131.22 ms [2020-11-11 14:29:05 main:574] : INFO : Epoch 145 | loss: 0.000317057 | val_loss: 0.000315307 | Time: 3849.93 ms [2020-11-11 14:29:09 main:574] : INFO : Epoch 146 | loss: 0.000311439 | val_loss: 0.000309752 | Time: 4152.34 ms [2020-11-11 14:29:13 main:574] : INFO : Epoch 147 | loss: 0.000305984 | val_loss: 0.000305424 | Time: 4071.75 ms [2020-11-11 14:29:17 main:574] : INFO : Epoch 148 | loss: 0.000301123 | val_loss: 0.000300449 | Time: 3887.65 ms [2020-11-11 14:29:21 main:574] : INFO : Epoch 149 | loss: 0.000296189 | val_loss: 0.000295067 | Time: 4139.28 ms [2020-11-11 14:29:25 main:574] : INFO : Epoch 150 | loss: 0.000291549 | val_loss: 0.000290479 | Time: 3816.65 ms [2020-11-11 14:29:29 main:574] : INFO : Epoch 151 | loss: 0.000287311 | val_loss: 0.000286915 | Time: 4060.41 ms [2020-11-11 14:29:33 main:574] : INFO : Epoch 152 | loss: 0.000283315 | val_loss: 0.000282518 | Time: 4020.78 ms [2020-11-11 14:29:37 main:574] : INFO : Epoch 153 | loss: 0.000279374 | val_loss: 0.000278819 | Time: 3906.35 ms [2020-11-11 14:29:41 main:574] : INFO : Epoch 154 | loss: 0.000275648 | val_loss: 0.00027503 | Time: 4144.15 ms [2020-11-11 14:29:45 main:574] : INFO : Epoch 155 | loss: 0.000272189 | val_loss: 0.000271574 | Time: 3845.6 ms [2020-11-11 14:29:49 main:574] : INFO : Epoch 156 | loss: 0.000268688 | val_loss: 0.000268495 | Time: 4103.02 ms [2020-11-11 14:29:53 main:574] : INFO : Epoch 157 | loss: 0.000265392 | val_loss: 0.000264512 | Time: 3963.9 ms [2020-11-11 14:29:57 main:574] : INFO : Epoch 158 | loss: 0.000262196 | val_loss: 0.000261306 | Time: 3991.36 ms [2020-11-11 14:30:02 main:574] : INFO : Epoch 159 | loss: 0.000259095 | val_loss: 0.00025907 | Time: 4140.78 ms [2020-11-11 14:30:05 main:574] : INFO : Epoch 160 | loss: 0.000256409 | val_loss: 0.000256003 | Time: 3839.94 ms [2020-11-11 14:30:10 main:574] : INFO : Epoch 161 | loss: 0.000253439 | val_loss: 0.000252863 | Time: 4113.85 ms [2020-11-11 14:30:14 main:574] : INFO : Epoch 162 | loss: 0.000250901 | val_loss: 0.000250713 | Time: 3894.83 ms [2020-11-11 14:30:18 main:574] : INFO : Epoch 163 | loss: 0.000248053 | val_loss: 0.000247485 | Time: 4106.04 ms [2020-11-11 14:30:22 main:574] : INFO : Epoch 164 | loss: 0.000245309 | val_loss: 0.000245391 | Time: 4041.95 ms [2020-11-11 14:30:26 main:574] : INFO : Epoch 165 | loss: 0.000243 | val_loss: 0.000242956 | Time: 3809.57 ms [2020-11-11 14:30:30 main:574] : INFO : Epoch 166 | loss: 0.000240647 | val_loss: 0.000240067 | Time: 4069.16 ms [2020-11-11 14:30:34 main:574] : INFO : Epoch 167 | loss: 0.000238276 | val_loss: 0.000237692 | Time: 3868.57 ms [2020-11-11 14:30:38 main:574] : INFO : Epoch 168 | loss: 0.000236107 | val_loss: 0.000235139 | Time: 4106.18 ms [2020-11-11 14:30:42 main:574] : INFO : Epoch 169 | loss: 0.000233552 | val_loss: 0.000232923 | Time: 4115.15 ms [2020-11-11 14:30:46 main:574] : INFO : Epoch 170 | loss: 0.000231713 | val_loss: 0.000231028 | Time: 3828.12 ms [2020-11-11 14:30:50 main:574] : INFO : Epoch 171 | loss: 0.000229365 | val_loss: 0.000228792 | Time: 4107.81 ms [2020-11-11 14:30:54 main:574] : INFO : Epoch 172 | loss: 0.000226934 | val_loss: 0.000227213 | Time: 3803.73 ms [2020-11-11 14:30:58 main:574] : INFO : Epoch 173 | loss: 0.000225253 | val_loss: 0.000225312 | Time: 4034.45 ms [2020-11-11 14:31:02 main:574] : INFO : Epoch 174 | loss: 0.000222948 | val_loss: 0.000222199 | Time: 4171.55 ms [2020-11-11 14:31:06 main:574] : INFO : Epoch 175 | loss: 0.00022126 | val_loss: 0.000220819 | Time: 3833.93 ms [2020-11-11 14:31:10 main:574] : INFO : Epoch 176 | loss: 0.000218498 | val_loss: 0.00021835 | Time: 4179.88 ms [2020-11-11 14:31:14 main:574] : INFO : Epoch 177 | loss: 0.000220964 | val_loss: 0.00021909 | Time: 3820.17 ms [2020-11-11 14:31:18 main:574] : INFO : Epoch 178 | loss: 0.000214964 | val_loss: 0.000214185 | Time: 4079.8 ms [2020-11-11 14:31:23 main:574] : INFO : Epoch 179 | loss: 0.000212963 | val_loss: 0.000211848 | Time: 4104.36 ms [2020-11-11 14:31:26 main:574] : INFO : Epoch 180 | loss: 0.000210856 | val_loss: 0.000210049 | Time: 3805.06 ms [2020-11-11 14:31:31 main:574] : INFO : Epoch 181 | loss: 0.000209158 | val_loss: 0.000208322 | Time: 4182.88 ms [2020-11-11 14:31:35 main:574] : INFO : Epoch 182 | loss: 0.000207088 | val_loss: 0.000205882 | Time: 3818.26 ms [2020-11-11 14:31:39 main:574] : INFO : Epoch 183 | loss: 0.000204845 | val_loss: 0.00020467 | Time: 4120.41 ms [2020-11-11 14:31:43 main:574] : INFO : Epoch 184 | loss: 0.000202828 | val_loss: 0.00020195 | Time: 4071.74 ms [2020-11-11 14:31:47 main:574] : INFO : Epoch 185 | loss: 0.000201302 | val_loss: 0.000200212 | Time: 3841.15 ms [2020-11-11 14:31:51 main:574] : INFO : Epoch 186 | loss: 0.000198898 | val_loss: 0.000197456 | Time: 4110.18 ms [2020-11-11 14:31:55 main:574] : INFO : Epoch 187 | loss: 0.000197225 | val_loss: 0.000196858 | Time: 3829.82 ms [2020-11-11 14:31:59 main:574] : INFO : Epoch 188 | loss: 0.000195448 | val_loss: 0.00019597 | Time: 4157.47 ms [2020-11-11 14:32:03 main:574] : INFO : Epoch 189 | loss: 0.000193631 | val_loss: 0.000192942 | Time: 4032.06 ms [2020-11-11 14:32:07 main:574] : INFO : Epoch 190 | loss: 0.000191215 | val_loss: 0.000190229 | Time: 3904.77 ms [2020-11-11 14:32:11 main:574] : INFO : Epoch 191 | loss: 0.000189365 | val_loss: 0.000189161 | Time: 4101.69 ms [2020-11-11 14:32:15 main:574] : INFO : Epoch 192 | loss: 0.000187246 | val_loss: 0.000186823 | Time: 3772.94 ms [2020-11-11 14:32:15 main:597] : INFO : Saving trained model to model-final.pt, val_loss 0.000186823 [2020-11-11 14:32:15 main:603] : INFO : Saving end state to config to file [2020-11-11 14:32:15 main:608] : INFO : Success, exiting.. 14:32:15 (2512): 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)