Task 3039763
| Name | rand_automata_0058-1606118007-23010-0_0 |
| Workunit | 1376084 |
| Created | 23 Nov 2020, 7:53:32 UTC |
| Sent | 24 Nov 2020, 2:53:09 UTC |
| Report deadline | 25 Nov 2020, 1:23:09 UTC |
| Received | 24 Nov 2020, 17:23:29 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 4379 |
| Run time | 14 min 22 sec |
| CPU time | 14 min 18 sec |
| Validate state | Valid |
| Credit | 959.40 |
| Device peak FLOPS | 4,493.80 GFLOPS |
| Application version | Machine Learning Dataset Generator (test) v9.80 (cuda10200) x86_64-pc-linux-gnu |
| Peak working set size | 2.19 GB |
| Peak swap size | 10.01 GB |
| Peak disk usage | 2.98 GB |
Stderr output
<core_client_version>7.16.11</core_client_version> <![CDATA[ <stderr_txt> DEBUG: Args: ../../projects/www.mlcathome.org_mlcathome/mlds-gpu_9.80_x86_64-pc-linux-gnu__cuda10200 -a LSTM -w 64 -b 2 -s 32 --lr 0.001 --maxepoch 192 nthreads: 1 gpudev: 0 Re-exec()-ing to set environment correctly Machine Learning Dataset Generator v9.80 (Linux/x86_64) (libTorch: release/1.7 GPU: GeForce GTX 1650 SUPER) [2020-11-24 12:08:55 main:442] : INFO : Set logging level to 1 [2020-11-24 12:08:55 main:448] : INFO : Running in BOINC Client mode [2020-11-24 12:08:55 main:451] : INFO : Resolving all filenames [2020-11-24 12:08:55 main:459] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0058-train-val-dataset.hdf5 (exists = 1) [2020-11-24 12:08:55 main:459] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0058-1606118007-23010-0_0_r178255037_1 (exists = 0) [2020-11-24 12:08:55 main:459] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0058-1606118007-23010-0_0_r178255037_0 (exists = 0) [2020-11-24 12:08:55 main:459] : INFO : Resolved: model-input.pt => model-input.pt (exists = 0) [2020-11-24 12:08:55 main:459] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-24 12:08:55 main:479] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/rand_automata_0058-train-val-dataset.hdf5 [2020-11-24 12:08:55 main:481] : INFO : Configuration: [2020-11-24 12:08:55 main:482] : INFO : Model type: LSTM [2020-11-24 12:08:55 main:483] : INFO : Validation Loss Threshold: 0.0001 [2020-11-24 12:08:55 main:484] : INFO : Max Epochs: 192 [2020-11-24 12:08:55 main:485] : INFO : Batch Size: 32 [2020-11-24 12:08:55 main:486] : INFO : Learning Rate: 0.001 [2020-11-24 12:08:55 main:487] : INFO : Patience: 10 [2020-11-24 12:08:55 main:488] : INFO : Hidden Width: 64 [2020-11-24 12:08:55 main:489] : INFO : # Recurrent Layers: 4 [2020-11-24 12:08:55 main:490] : INFO : # Backend Layers: 2 [2020-11-24 12:08:55 main:491] : INFO : # Threads: 1 [2020-11-24 12:08:55 main:493] : INFO : Preparing Dataset [2020-11-24 12:08:55 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0058-train-val-dataset.hdf5 into memory [2020-11-24 12:08:55 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0058-train-val-dataset.hdf5 into memory [2020-11-24 12:08:57 load:106] : INFO : Successfully loaded dataset of 4096 examples into memory. [2020-11-24 12:08:57 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0058-train-val-dataset.hdf5 into memory [2020-11-24 12:08:57 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0058-train-val-dataset.hdf5 into memory [2020-11-24 12:08:57 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-24 12:08:57 main:501] : INFO : Creating Model [2020-11-24 12:08:57 main:514] : INFO : Preparing config file [2020-11-24 12:08:57 main:526] : INFO : Creating new config file [2020-11-24 12:08:57 main:566] : INFO : Loading DataLoader into Memory [2020-11-24 12:08:57 main:569] : INFO : Starting Training [2020-11-24 12:09:03 main:581] : INFO : Epoch 1 | loss: 0.0661807 | val_loss: 0.0659236 | Time: 5321.08 ms [2020-11-24 12:09:07 main:581] : INFO : Epoch 2 | loss: 0.0648696 | val_loss: 0.0629719 | Time: 4831.49 ms [2020-11-24 12:09:12 main:581] : INFO : Epoch 3 | loss: 0.0611686 | val_loss: 0.0590516 | Time: 4845.17 ms [2020-11-24 12:09:17 main:581] : INFO : Epoch 4 | loss: 0.0573057 | val_loss: 0.0559305 | Time: 4838.42 ms [2020-11-24 12:09:22 main:581] : INFO : Epoch 5 | loss: 0.0548942 | val_loss: 0.0540142 | Time: 4817.47 ms [2020-11-24 12:09:27 main:581] : INFO : Epoch 6 | loss: 0.053197 | val_loss: 0.052685 | Time: 4768.37 ms [2020-11-24 12:09:32 main:581] : INFO : Epoch 7 | loss: 0.0517017 | val_loss: 0.051178 | Time: 4809.44 ms [2020-11-24 12:09:36 main:581] : INFO : Epoch 8 | loss: 0.0502798 | val_loss: 0.0498087 | Time: 4750.63 ms [2020-11-24 12:09:41 main:581] : INFO : Epoch 9 | loss: 0.0487984 | val_loss: 0.0483876 | Time: 4756.49 ms [2020-11-24 12:09:46 main:581] : INFO : Epoch 10 | loss: 0.0472443 | val_loss: 0.0467731 | Time: 4820.44 ms [2020-11-24 12:09:51 main:581] : INFO : Epoch 11 | loss: 0.0455512 | val_loss: 0.045157 | Time: 4811.65 ms [2020-11-24 12:09:55 main:581] : INFO : Epoch 12 | loss: 0.0438038 | val_loss: 0.0435435 | Time: 4815.3 ms [2020-11-24 12:10:00 main:581] : INFO : Epoch 13 | loss: 0.0418053 | val_loss: 0.0412687 | Time: 4805.08 ms [2020-11-24 12:10:05 main:581] : INFO : Epoch 14 | loss: 0.0396833 | val_loss: 0.0391798 | Time: 4803.66 ms [2020-11-24 12:10:10 main:581] : INFO : Epoch 15 | loss: 0.0374889 | val_loss: 0.0369794 | Time: 4792.9 ms [2020-11-24 12:10:15 main:581] : INFO : Epoch 16 | loss: 0.0348291 | val_loss: 0.0345791 | Time: 4826.3 ms [2020-11-24 12:10:20 main:581] : INFO : Epoch 17 | loss: 0.0321691 | val_loss: 0.0317095 | Time: 4924.61 ms [2020-11-24 12:10:24 main:581] : INFO : Epoch 18 | loss: 0.0293375 | val_loss: 0.0292434 | Time: 4864.74 ms [2020-11-24 12:10:29 main:581] : INFO : Epoch 19 | loss: 0.0268894 | val_loss: 0.0271069 | Time: 4967.77 ms [2020-11-24 12:10:34 main:581] : INFO : Epoch 20 | loss: 0.0268511 | val_loss: 0.0245342 | Time: 4942.68 ms [2020-11-24 12:10:39 main:581] : INFO : Epoch 21 | loss: 0.0247048 | val_loss: 0.0382006 | Time: 4832.01 ms [2020-11-24 12:10:44 main:581] : INFO : Epoch 22 | loss: 0.0215019 | val_loss: 0.0194314 | Time: 4804.59 ms [2020-11-24 12:10:49 main:581] : INFO : Epoch 23 | loss: 0.0169856 | val_loss: 0.0164846 | Time: 4802.36 ms [2020-11-24 12:10:54 main:581] : INFO : Epoch 24 | loss: 0.0177727 | val_loss: 0.0163995 | Time: 4853.07 ms [2020-11-24 12:10:59 main:581] : INFO : Epoch 25 | loss: 0.0137416 | val_loss: 0.0142168 | Time: 4818.69 ms [2020-11-24 12:11:03 main:581] : INFO : Epoch 26 | loss: 0.0116056 | val_loss: 0.0124632 | Time: 4797.57 ms [2020-11-24 12:11:08 main:581] : INFO : Epoch 27 | loss: 0.0101856 | val_loss: 0.0125173 | Time: 4855.29 ms [2020-11-24 12:11:13 main:581] : INFO : Epoch 28 | loss: 0.0109118 | val_loss: 0.0104265 | Time: 4770.53 ms [2020-11-24 12:11:18 main:581] : INFO : Epoch 29 | loss: 0.00885145 | val_loss: 0.00918612 | Time: 4781.31 ms [2020-11-24 12:11:23 main:581] : INFO : Epoch 30 | loss: 0.010904 | val_loss: 0.0101853 | Time: 4814.82 ms [2020-11-24 12:11:27 main:581] : INFO : Epoch 31 | loss: 0.00789003 | val_loss: 0.0077557 | Time: 4840.4 ms [2020-11-24 12:11:32 main:581] : INFO : Epoch 32 | loss: 0.00711137 | val_loss: 0.00719399 | Time: 4818.53 ms [2020-11-24 12:11:37 main:581] : INFO : Epoch 33 | loss: 0.00670579 | val_loss: 0.00689316 | Time: 4754.34 ms [2020-11-24 12:11:42 main:581] : INFO : Epoch 34 | loss: 0.00696495 | val_loss: 0.0120583 | Time: 4742.98 ms [2020-11-24 12:11:46 main:581] : INFO : Epoch 35 | loss: 0.00691206 | val_loss: 0.00638968 | Time: 4793.23 ms [2020-11-24 12:11:51 main:581] : INFO : Epoch 36 | loss: 0.00587249 | val_loss: 0.00587792 | Time: 4804.66 ms [2020-11-24 12:11:56 main:581] : INFO : Epoch 37 | loss: 0.00555676 | val_loss: 0.00561835 | Time: 4767.03 ms [2020-11-24 12:12:01 main:581] : INFO : Epoch 38 | loss: 0.00529652 | val_loss: 0.00536388 | Time: 4768.26 ms [2020-11-24 12:12:06 main:581] : INFO : Epoch 39 | loss: 0.0050813 | val_loss: 0.00512028 | Time: 4780.11 ms [2020-11-24 12:12:10 main:581] : INFO : Epoch 40 | loss: 0.00483025 | val_loss: 0.00489248 | Time: 4803.1 ms [2020-11-24 12:12:15 main:581] : INFO : Epoch 41 | loss: 0.00460832 | val_loss: 0.00465518 | Time: 4824.61 ms [2020-11-24 12:12:20 main:581] : INFO : Epoch 42 | loss: 0.0043993 | val_loss: 0.00446321 | Time: 4835.2 ms [2020-11-24 12:12:25 main:581] : INFO : Epoch 43 | loss: 0.00419492 | val_loss: 0.00421217 | Time: 4832.32 ms [2020-11-24 12:12:30 main:581] : INFO : Epoch 44 | loss: 0.00399376 | val_loss: 0.00400177 | Time: 4765.21 ms [2020-11-24 12:12:34 main:581] : INFO : Epoch 45 | loss: 0.00380286 | val_loss: 0.00379762 | Time: 4799.49 ms [2020-11-24 12:12:39 main:581] : INFO : Epoch 46 | loss: 0.00362037 | val_loss: 0.00360286 | Time: 4840.74 ms [2020-11-24 12:12:44 main:581] : INFO : Epoch 47 | loss: 0.0034414 | val_loss: 0.00341523 | Time: 4814.95 ms [2020-11-24 12:12:49 main:581] : INFO : Epoch 48 | loss: 0.00326883 | val_loss: 0.00323883 | Time: 4824.66 ms [2020-11-24 12:12:54 main:581] : INFO : Epoch 49 | loss: 0.00310329 | val_loss: 0.00307274 | Time: 4824.84 ms [2020-11-24 12:12:59 main:581] : INFO : Epoch 50 | loss: 0.00294536 | val_loss: 0.00291562 | Time: 4841.73 ms [2020-11-24 12:13:03 main:581] : INFO : Epoch 51 | loss: 0.00279198 | val_loss: 0.00275846 | Time: 4811.46 ms [2020-11-24 12:13:08 main:581] : INFO : Epoch 52 | loss: 0.00264579 | val_loss: 0.00261679 | Time: 4817.75 ms [2020-11-24 12:13:13 main:581] : INFO : Epoch 53 | loss: 0.00250661 | val_loss: 0.00247908 | Time: 4803.19 ms [2020-11-24 12:13:18 main:581] : INFO : Epoch 54 | loss: 0.00237421 | val_loss: 0.00234662 | Time: 4811.7 ms [2020-11-24 12:13:23 main:581] : INFO : Epoch 55 | loss: 0.00224649 | val_loss: 0.00221907 | Time: 4817.74 ms [2020-11-24 12:13:28 main:581] : INFO : Epoch 56 | loss: 0.00212498 | val_loss: 0.00209783 | Time: 4854.11 ms [2020-11-24 12:13:32 main:581] : INFO : Epoch 57 | loss: 0.00200977 | val_loss: 0.00198427 | Time: 4775.84 ms [2020-11-24 12:13:37 main:581] : INFO : Epoch 58 | loss: 0.00190164 | val_loss: 0.0018765 | Time: 4775.55 ms [2020-11-24 12:13:42 main:581] : INFO : Epoch 59 | loss: 0.00179794 | val_loss: 0.0017757 | Time: 4763.34 ms [2020-11-24 12:13:47 main:581] : INFO : Epoch 60 | loss: 0.00169696 | val_loss: 0.00167428 | Time: 4786.83 ms [2020-11-24 12:13:51 main:581] : INFO : Epoch 61 | loss: 0.00160315 | val_loss: 0.00158219 | Time: 4816.49 ms [2020-11-24 12:13:56 main:581] : INFO : Epoch 62 | loss: 0.00151418 | val_loss: 0.001496 | Time: 4813.52 ms [2020-11-24 12:14:01 main:581] : INFO : Epoch 63 | loss: 0.00142952 | val_loss: 0.00141019 | Time: 4830.27 ms [2020-11-24 12:14:06 main:581] : INFO : Epoch 64 | loss: 0.00134837 | val_loss: 0.00133086 | Time: 4844.37 ms [2020-11-24 12:14:11 main:581] : INFO : Epoch 65 | loss: 0.00127223 | val_loss: 0.00125818 | Time: 4845.6 ms [2020-11-24 12:14:16 main:581] : INFO : Epoch 66 | loss: 0.00120032 | val_loss: 0.00118486 | Time: 4800.03 ms [2020-11-24 12:14:20 main:581] : INFO : Epoch 67 | loss: 0.00113209 | val_loss: 0.00112008 | Time: 4787.54 ms [2020-11-24 12:14:25 main:581] : INFO : Epoch 68 | loss: 0.00106818 | val_loss: 0.00105624 | Time: 4797.96 ms [2020-11-24 12:14:30 main:581] : INFO : Epoch 69 | loss: 0.00100723 | val_loss: 0.000996329 | Time: 4849.33 ms [2020-11-24 12:14:35 main:581] : INFO : Epoch 70 | loss: 0.000949887 | val_loss: 0.00093962 | Time: 4792.64 ms [2020-11-24 12:14:40 main:581] : INFO : Epoch 71 | loss: 0.000896313 | val_loss: 0.000885951 | Time: 4805.8 ms [2020-11-24 12:14:44 main:581] : INFO : Epoch 72 | loss: 0.000844533 | val_loss: 0.000837955 | Time: 4864.38 ms [2020-11-24 12:14:49 main:581] : INFO : Epoch 73 | loss: 0.000797958 | val_loss: 0.000794535 | Time: 4781.62 ms [2020-11-24 12:14:54 main:581] : INFO : Epoch 74 | loss: 0.000752406 | val_loss: 0.00074979 | Time: 4812.44 ms [2020-11-24 12:14:59 main:581] : INFO : Epoch 75 | loss: 0.000711661 | val_loss: 0.000705481 | Time: 4818.74 ms [2020-11-24 12:15:04 main:581] : INFO : Epoch 76 | loss: 0.000672042 | val_loss: 0.000666963 | Time: 4798.15 ms [2020-11-24 12:15:08 main:581] : INFO : Epoch 77 | loss: 0.000634072 | val_loss: 0.000626029 | Time: 4702.16 ms [2020-11-24 12:15:13 main:581] : INFO : Epoch 78 | loss: 0.000598193 | val_loss: 0.00059316 | Time: 4630.48 ms [2020-11-24 12:15:17 main:581] : INFO : Epoch 79 | loss: 0.00056542 | val_loss: 0.000563349 | Time: 4356.27 ms [2020-11-24 12:15:22 main:581] : INFO : Epoch 80 | loss: 0.000535411 | val_loss: 0.000535404 | Time: 4710.83 ms [2020-11-24 12:15:27 main:581] : INFO : Epoch 81 | loss: 0.000506498 | val_loss: 0.000504984 | Time: 4754.61 ms [2020-11-24 12:15:32 main:581] : INFO : Epoch 82 | loss: 0.000478716 | val_loss: 0.000475829 | Time: 4707.63 ms [2020-11-24 12:15:36 main:581] : INFO : Epoch 83 | loss: 0.000453318 | val_loss: 0.000450679 | Time: 4564.47 ms [2020-11-24 12:15:41 main:581] : INFO : Epoch 84 | loss: 0.000429396 | val_loss: 0.000426972 | Time: 4592.84 ms [2020-11-24 12:15:45 main:581] : INFO : Epoch 85 | loss: 0.000405618 | val_loss: 0.000404934 | Time: 4614.51 ms [2020-11-24 12:15:50 main:581] : INFO : Epoch 86 | loss: 0.000384891 | val_loss: 0.000385471 | Time: 4800.35 ms [2020-11-24 12:15:55 main:581] : INFO : Epoch 87 | loss: 0.000365068 | val_loss: 0.000365178 | Time: 4880.23 ms [2020-11-24 12:16:00 main:581] : INFO : Epoch 88 | loss: 0.000346707 | val_loss: 0.000344283 | Time: 4803.92 ms [2020-11-24 12:16:05 main:581] : INFO : Epoch 89 | loss: 0.000328622 | val_loss: 0.000326202 | Time: 4776.45 ms [2020-11-24 12:16:10 main:581] : INFO : Epoch 90 | loss: 0.00031132 | val_loss: 0.000311644 | Time: 5098.98 ms [2020-11-24 12:16:14 main:581] : INFO : Epoch 91 | loss: 0.00029617 | val_loss: 0.000298815 | Time: 4777.55 ms [2020-11-24 12:16:19 main:581] : INFO : Epoch 92 | loss: 0.000281828 | val_loss: 0.000279888 | Time: 4631.75 ms [2020-11-24 12:16:24 main:581] : INFO : Epoch 93 | loss: 0.000267571 | val_loss: 0.000268971 | Time: 4506.06 ms [2020-11-24 12:16:28 main:581] : INFO : Epoch 94 | loss: 0.000254809 | val_loss: 0.000255638 | Time: 4274.74 ms [2020-11-24 12:16:32 main:581] : INFO : Epoch 95 | loss: 0.000242481 | val_loss: 0.000242476 | Time: 4512 ms [2020-11-24 12:16:37 main:581] : INFO : Epoch 96 | loss: 0.000231853 | val_loss: 0.00023993 | Time: 4381.94 ms [2020-11-24 12:16:41 main:581] : INFO : Epoch 97 | loss: 0.000220573 | val_loss: 0.000221086 | Time: 4466.46 ms [2020-11-24 12:16:46 main:581] : INFO : Epoch 98 | loss: 0.000210233 | val_loss: 0.0002117 | Time: 4324.14 ms [2020-11-24 12:16:50 main:581] : INFO : Epoch 99 | loss: 0.000200937 | val_loss: 0.000203051 | Time: 4566.89 ms [2020-11-24 12:16:55 main:581] : INFO : Epoch 100 | loss: 0.0001914 | val_loss: 0.000193982 | Time: 4598.16 ms [2020-11-24 12:17:00 main:581] : INFO : Epoch 101 | loss: 0.000182738 | val_loss: 0.000183875 | Time: 5062.02 ms [2020-11-24 12:17:04 main:581] : INFO : Epoch 102 | loss: 0.000175342 | val_loss: 0.000176788 | Time: 4210.21 ms [2020-11-24 12:17:08 main:581] : INFO : Epoch 103 | loss: 0.000168258 | val_loss: 0.000170879 | Time: 4064.62 ms [2020-11-24 12:17:12 main:581] : INFO : Epoch 104 | loss: 0.000160566 | val_loss: 0.000161614 | Time: 3981.02 ms [2020-11-24 12:17:16 main:581] : INFO : Epoch 105 | loss: 0.000153634 | val_loss: 0.000153703 | Time: 3924.6 ms [2020-11-24 12:17:20 main:581] : INFO : Epoch 106 | loss: 0.000147197 | val_loss: 0.000148348 | Time: 4051.61 ms [2020-11-24 12:17:24 main:581] : INFO : Epoch 107 | loss: 0.000141862 | val_loss: 0.000142427 | Time: 3884.04 ms [2020-11-24 12:17:28 main:581] : INFO : Epoch 108 | loss: 0.000134949 | val_loss: 0.000137806 | Time: 3908.5 ms [2020-11-24 12:17:32 main:581] : INFO : Epoch 109 | loss: 0.000129944 | val_loss: 0.000131138 | Time: 4251.68 ms [2020-11-24 12:17:37 main:581] : INFO : Epoch 110 | loss: 0.000125389 | val_loss: 0.00012707 | Time: 4862.75 ms [2020-11-24 12:17:41 main:581] : INFO : Epoch 111 | loss: 0.000120908 | val_loss: 0.000120906 | Time: 4003.15 ms [2020-11-24 12:17:45 main:581] : INFO : Epoch 112 | loss: 0.000115965 | val_loss: 0.000117202 | Time: 4145.24 ms [2020-11-24 12:17:49 main:581] : INFO : Epoch 113 | loss: 0.00011171 | val_loss: 0.000114927 | Time: 4185.22 ms [2020-11-24 12:17:53 main:581] : INFO : Epoch 114 | loss: 0.000107462 | val_loss: 0.000110275 | Time: 4066.42 ms [2020-11-24 12:17:57 main:581] : INFO : Epoch 115 | loss: 0.000103854 | val_loss: 0.000105891 | Time: 3972.56 ms [2020-11-24 12:18:01 main:581] : INFO : Epoch 116 | loss: 0.000100079 | val_loss: 0.000102324 | Time: 4026.23 ms [2020-11-24 12:18:05 main:581] : INFO : Epoch 117 | loss: 9.75317e-05 | val_loss: 9.86558e-05 | Time: 3975.75 ms [2020-11-24 12:18:09 main:581] : INFO : Epoch 118 | loss: 9.41392e-05 | val_loss: 9.65236e-05 | Time: 3936.9 ms [2020-11-24 12:18:13 main:581] : INFO : Epoch 119 | loss: 9.17799e-05 | val_loss: 9.36458e-05 | Time: 3882.95 ms [2020-11-24 12:18:17 main:581] : INFO : Epoch 120 | loss: 8.71095e-05 | val_loss: 8.90852e-05 | Time: 4089.24 ms [2020-11-24 12:18:21 main:581] : INFO : Epoch 121 | loss: 8.4873e-05 | val_loss: 8.78677e-05 | Time: 3917.04 ms [2020-11-24 12:18:25 main:581] : INFO : Epoch 122 | loss: 8.26479e-05 | val_loss: 8.48972e-05 | Time: 4192.1 ms [2020-11-24 12:18:29 main:581] : INFO : Epoch 123 | loss: 8.00775e-05 | val_loss: 8.05125e-05 | Time: 3981.39 ms [2020-11-24 12:18:33 main:581] : INFO : Epoch 124 | loss: 7.70333e-05 | val_loss: 8.00153e-05 | Time: 4121.26 ms [2020-11-24 12:18:37 main:581] : INFO : Epoch 125 | loss: 7.51106e-05 | val_loss: 7.74952e-05 | Time: 3962.99 ms [2020-11-24 12:18:42 main:581] : INFO : Epoch 126 | loss: 7.2742e-05 | val_loss: 7.2941e-05 | Time: 4292.13 ms [2020-11-24 12:18:46 main:581] : INFO : Epoch 127 | loss: 7.05668e-05 | val_loss: 7.20363e-05 | Time: 4108.71 ms [2020-11-24 12:18:50 main:581] : INFO : Epoch 128 | loss: 6.89572e-05 | val_loss: 7.15474e-05 | Time: 3950.62 ms [2020-11-24 12:18:54 main:581] : INFO : Epoch 129 | loss: 6.82193e-05 | val_loss: 6.91896e-05 | Time: 3882.47 ms [2020-11-24 12:18:58 main:581] : INFO : Epoch 130 | loss: 6.54361e-05 | val_loss: 6.66425e-05 | Time: 3891.75 ms [2020-11-24 12:19:01 main:581] : INFO : Epoch 131 | loss: 6.34376e-05 | val_loss: 6.53869e-05 | Time: 3970.03 ms [2020-11-24 12:19:06 main:581] : INFO : Epoch 132 | loss: 6.26128e-05 | val_loss: 6.51578e-05 | Time: 4101.03 ms [2020-11-24 12:19:10 main:581] : INFO : Epoch 133 | loss: 6.05213e-05 | val_loss: 6.30678e-05 | Time: 4096.65 ms [2020-11-24 12:19:14 main:581] : INFO : Epoch 134 | loss: 5.87986e-05 | val_loss: 5.88388e-05 | Time: 3911.59 ms [2020-11-24 12:19:17 main:581] : INFO : Epoch 135 | loss: 5.66012e-05 | val_loss: 6.01641e-05 | Time: 3898.11 ms [2020-11-24 12:19:22 main:581] : INFO : Epoch 136 | loss: 5.62948e-05 | val_loss: 6.0028e-05 | Time: 4043.12 ms [2020-11-24 12:19:25 main:581] : INFO : Epoch 137 | loss: 5.47805e-05 | val_loss: 5.55789e-05 | Time: 3885.04 ms [2020-11-24 12:19:29 main:581] : INFO : Epoch 138 | loss: 5.36029e-05 | val_loss: 5.35802e-05 | Time: 3912.26 ms [2020-11-24 12:19:33 main:581] : INFO : Epoch 139 | loss: 5.24056e-05 | val_loss: 5.38639e-05 | Time: 4026.44 ms [2020-11-24 12:19:37 main:581] : INFO : Epoch 140 | loss: 5.12744e-05 | val_loss: 5.28923e-05 | Time: 3957.09 ms [2020-11-24 12:19:41 main:581] : INFO : Epoch 141 | loss: 5.01215e-05 | val_loss: 5.22139e-05 | Time: 3962.43 ms [2020-11-24 12:19:45 main:581] : INFO : Epoch 142 | loss: 4.94616e-05 | val_loss: 5.10392e-05 | Time: 4085.57 ms [2020-11-24 12:19:49 main:581] : INFO : Epoch 143 | loss: 4.74978e-05 | val_loss: 4.84962e-05 | Time: 3996.76 ms [2020-11-24 12:19:53 main:581] : INFO : Epoch 144 | loss: 4.62006e-05 | val_loss: 4.79884e-05 | Time: 4095.46 ms [2020-11-24 12:19:57 main:581] : INFO : Epoch 145 | loss: 4.54645e-05 | val_loss: 4.68906e-05 | Time: 4011.91 ms [2020-11-24 12:20:01 main:581] : INFO : Epoch 146 | loss: 4.46878e-05 | val_loss: 4.81129e-05 | Time: 3955.01 ms [2020-11-24 12:20:06 main:581] : INFO : Epoch 147 | loss: 4.41094e-05 | val_loss: 4.43649e-05 | Time: 4076.21 ms [2020-11-24 12:20:10 main:581] : INFO : Epoch 148 | loss: 4.37976e-05 | val_loss: 4.97435e-05 | Time: 4051.12 ms [2020-11-24 12:20:13 main:581] : INFO : Epoch 149 | loss: 4.27199e-05 | val_loss: 4.44941e-05 | Time: 3923.37 ms [2020-11-24 12:20:18 main:581] : INFO : Epoch 150 | loss: 4.15078e-05 | val_loss: 4.46199e-05 | Time: 4187.49 ms [2020-11-24 12:20:22 main:581] : INFO : Epoch 151 | loss: 4.05614e-05 | val_loss: 4.28538e-05 | Time: 4040 ms [2020-11-24 12:20:26 main:581] : INFO : Epoch 152 | loss: 4.02824e-05 | val_loss: 4.14452e-05 | Time: 4430.09 ms [2020-11-24 12:20:30 main:581] : INFO : Epoch 153 | loss: 3.89763e-05 | val_loss: 4.00297e-05 | Time: 4201.98 ms [2020-11-24 12:20:34 main:581] : INFO : Epoch 154 | loss: 3.90623e-05 | val_loss: 4.40309e-05 | Time: 3946.5 ms [2020-11-24 12:20:38 main:581] : INFO : Epoch 155 | loss: 3.7722e-05 | val_loss: 3.84919e-05 | Time: 3999.86 ms [2020-11-24 12:20:42 main:581] : INFO : Epoch 156 | loss: 3.75593e-05 | val_loss: 3.75285e-05 | Time: 4049.14 ms [2020-11-24 12:20:46 main:581] : INFO : Epoch 157 | loss: 3.63733e-05 | val_loss: 3.7952e-05 | Time: 4056.01 ms [2020-11-24 12:20:51 main:581] : INFO : Epoch 158 | loss: 3.6059e-05 | val_loss: 3.65791e-05 | Time: 4149.73 ms [2020-11-24 12:20:55 main:581] : INFO : Epoch 159 | loss: 3.53331e-05 | val_loss: 4.05096e-05 | Time: 3984.86 ms [2020-11-24 12:20:59 main:581] : INFO : Epoch 160 | loss: 3.51454e-05 | val_loss: 3.48287e-05 | Time: 4123.73 ms [2020-11-24 12:21:03 main:581] : INFO : Epoch 161 | loss: 3.4955e-05 | val_loss: 3.48976e-05 | Time: 3955.43 ms [2020-11-24 12:21:07 main:581] : INFO : Epoch 162 | loss: 3.37346e-05 | val_loss: 3.52568e-05 | Time: 3946.35 ms [2020-11-24 12:21:11 main:581] : INFO : Epoch 163 | loss: 3.32154e-05 | val_loss: 3.49936e-05 | Time: 4106.14 ms [2020-11-24 12:21:15 main:581] : INFO : Epoch 164 | loss: 3.38127e-05 | val_loss: 3.27142e-05 | Time: 4065.15 ms [2020-11-24 12:21:19 main:581] : INFO : Epoch 165 | loss: 3.20312e-05 | val_loss: 3.48236e-05 | Time: 4073.57 ms [2020-11-24 12:21:23 main:581] : INFO : Epoch 166 | loss: 3.2138e-05 | val_loss: 3.16877e-05 | Time: 4081.29 ms [2020-11-24 12:21:27 main:581] : INFO : Epoch 167 | loss: 3.1064e-05 | val_loss: 3.21503e-05 | Time: 4014.23 ms [2020-11-24 12:21:31 main:581] : INFO : Epoch 168 | loss: 3.09927e-05 | val_loss: 3.22077e-05 | Time: 3976.48 ms [2020-11-24 12:21:35 main:581] : INFO : Epoch 169 | loss: 3.03798e-05 | val_loss: 3.14561e-05 | Time: 3915.47 ms [2020-11-24 12:21:39 main:581] : INFO : Epoch 170 | loss: 3.02341e-05 | val_loss: 3.03509e-05 | Time: 4089.82 ms [2020-11-24 12:21:43 main:581] : INFO : Epoch 171 | loss: 2.96659e-05 | val_loss: 3.68598e-05 | Time: 4194.3 ms [2020-11-24 12:21:47 main:581] : INFO : Epoch 172 | loss: 2.96293e-05 | val_loss: 3.1649e-05 | Time: 3950.42 ms [2020-11-24 12:21:51 main:581] : INFO : Epoch 173 | loss: 3.00976e-05 | val_loss: 2.9312e-05 | Time: 3944.67 ms [2020-11-24 12:21:55 main:581] : INFO : Epoch 174 | loss: 2.78538e-05 | val_loss: 3.00431e-05 | Time: 4341.25 ms [2020-11-24 12:21:59 main:581] : INFO : Epoch 175 | loss: 2.82635e-05 | val_loss: 2.86164e-05 | Time: 4104.44 ms [2020-11-24 12:22:03 main:581] : INFO : Epoch 176 | loss: 2.7468e-05 | val_loss: 3.20484e-05 | Time: 4027.1 ms [2020-11-24 12:22:08 main:581] : INFO : Epoch 177 | loss: 2.7877e-05 | val_loss: 2.98682e-05 | Time: 4271.67 ms [2020-11-24 12:22:12 main:581] : INFO : Epoch 178 | loss: 2.69094e-05 | val_loss: 2.73962e-05 | Time: 4266.16 ms [2020-11-24 12:22:16 main:581] : INFO : Epoch 179 | loss: 2.65322e-05 | val_loss: 2.8069e-05 | Time: 4358.02 ms [2020-11-24 12:22:21 main:581] : INFO : Epoch 180 | loss: 2.63978e-05 | val_loss: 2.64938e-05 | Time: 4279.51 ms [2020-11-24 12:22:25 main:581] : INFO : Epoch 181 | loss: 2.58061e-05 | val_loss: 2.6688e-05 | Time: 4217.86 ms [2020-11-24 12:22:29 main:581] : INFO : Epoch 182 | loss: 2.60291e-05 | val_loss: 2.75912e-05 | Time: 4423.2 ms [2020-11-24 12:22:34 main:581] : INFO : Epoch 183 | loss: 2.57279e-05 | val_loss: 2.56995e-05 | Time: 4459.09 ms [2020-11-24 12:22:39 main:581] : INFO : Epoch 184 | loss: 2.53523e-05 | val_loss: 2.97915e-05 | Time: 4971.12 ms [2020-11-24 12:22:43 main:581] : INFO : Epoch 185 | loss: 2.56872e-05 | val_loss: 2.63919e-05 | Time: 4185.5 ms [2020-11-24 12:22:47 main:581] : INFO : Epoch 186 | loss: 2.48825e-05 | val_loss: 2.49792e-05 | Time: 4364.5 ms [2020-11-24 12:22:52 main:581] : INFO : Epoch 187 | loss: 2.42967e-05 | val_loss: 2.98425e-05 | Time: 4468.88 ms [2020-11-24 12:22:56 main:581] : INFO : Epoch 188 | loss: 2.39953e-05 | val_loss: 2.38873e-05 | Time: 4283.61 ms [2020-11-24 12:23:00 main:581] : INFO : Epoch 189 | loss: 2.39651e-05 | val_loss: 2.52268e-05 | Time: 4259.2 ms [2020-11-24 12:23:05 main:581] : INFO : Epoch 190 | loss: 2.44584e-05 | val_loss: 2.42193e-05 | Time: 4667.85 ms [2020-11-24 12:23:10 main:581] : INFO : Epoch 191 | loss: 2.32392e-05 | val_loss: 2.4434e-05 | Time: 4786.56 ms [2020-11-24 12:23:15 main:581] : INFO : Epoch 192 | loss: 2.29225e-05 | val_loss: 2.39468e-05 | Time: 5104.51 ms [2020-11-24 12:23:15 main:604] : INFO : Saving trained model to model-final.pt, val_loss 2.39468e-05 [2020-11-24 12:23:15 main:610] : INFO : Saving end state to config to file [2020-11-24 12:23:15 main:615] : INFO : Success, exiting.. 12:23:15 (2965727): 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)