Task 3039794
| Name | rand_automata_0087-1606118023-23654-0_0 |
| Workunit | 1376115 |
| Created | 23 Nov 2020, 7:53:47 UTC |
| Sent | 24 Nov 2020, 4:10:48 UTC |
| Report deadline | 25 Nov 2020, 2:40:48 UTC |
| Received | 24 Nov 2020, 18:40:58 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 4379 |
| Run time | 14 min 36 sec |
| CPU time | 14 min 33 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 | 10.02 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 13:26:10 main:442] : INFO : Set logging level to 1 [2020-11-24 13:26:10 main:448] : INFO : Running in BOINC Client mode [2020-11-24 13:26:10 main:451] : INFO : Resolving all filenames [2020-11-24 13:26:10 main:459] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0087-train-val-dataset.hdf5 (exists = 1) [2020-11-24 13:26:10 main:459] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0087-1606118023-23654-0_0_r969035045_1 (exists = 0) [2020-11-24 13:26:10 main:459] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0087-1606118023-23654-0_0_r969035045_0 (exists = 0) [2020-11-24 13:26:10 main:459] : INFO : Resolved: model-input.pt => model-input.pt (exists = 0) [2020-11-24 13:26:10 main:459] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-24 13:26:10 main:479] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/rand_automata_0087-train-val-dataset.hdf5 [2020-11-24 13:26:10 main:481] : INFO : Configuration: [2020-11-24 13:26:10 main:482] : INFO : Model type: LSTM [2020-11-24 13:26:10 main:483] : INFO : Validation Loss Threshold: 0.0001 [2020-11-24 13:26:10 main:484] : INFO : Max Epochs: 192 [2020-11-24 13:26:10 main:485] : INFO : Batch Size: 32 [2020-11-24 13:26:10 main:486] : INFO : Learning Rate: 0.001 [2020-11-24 13:26:10 main:487] : INFO : Patience: 10 [2020-11-24 13:26:10 main:488] : INFO : Hidden Width: 64 [2020-11-24 13:26:10 main:489] : INFO : # Recurrent Layers: 4 [2020-11-24 13:26:10 main:490] : INFO : # Backend Layers: 2 [2020-11-24 13:26:10 main:491] : INFO : # Threads: 1 [2020-11-24 13:26:10 main:493] : INFO : Preparing Dataset [2020-11-24 13:26:10 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0087-train-val-dataset.hdf5 into memory [2020-11-24 13:26:10 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0087-train-val-dataset.hdf5 into memory [2020-11-24 13:26:11 load:106] : INFO : Successfully loaded dataset of 4096 examples into memory. [2020-11-24 13:26:11 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0087-train-val-dataset.hdf5 into memory [2020-11-24 13:26:11 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0087-train-val-dataset.hdf5 into memory [2020-11-24 13:26:11 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-24 13:26:11 main:501] : INFO : Creating Model [2020-11-24 13:26:11 main:514] : INFO : Preparing config file [2020-11-24 13:26:11 main:526] : INFO : Creating new config file [2020-11-24 13:26:12 main:566] : INFO : Loading DataLoader into Memory [2020-11-24 13:26:12 main:569] : INFO : Starting Training [2020-11-24 13:26:17 main:581] : INFO : Epoch 1 | loss: 0.0660318 | val_loss: 0.0657599 | Time: 5747.13 ms [2020-11-24 13:26:22 main:581] : INFO : Epoch 2 | loss: 0.0651061 | val_loss: 0.0638281 | Time: 4911.31 ms [2020-11-24 13:26:27 main:581] : INFO : Epoch 3 | loss: 0.0625547 | val_loss: 0.0612277 | Time: 4797.74 ms [2020-11-24 13:26:32 main:581] : INFO : Epoch 4 | loss: 0.0601072 | val_loss: 0.0590672 | Time: 4849.7 ms [2020-11-24 13:26:37 main:581] : INFO : Epoch 5 | loss: 0.0582596 | val_loss: 0.0574056 | Time: 4847.59 ms [2020-11-24 13:26:42 main:581] : INFO : Epoch 6 | loss: 0.0568741 | val_loss: 0.0563175 | Time: 4776.83 ms [2020-11-24 13:26:46 main:581] : INFO : Epoch 7 | loss: 0.0557543 | val_loss: 0.0552845 | Time: 4802.87 ms [2020-11-24 13:26:51 main:581] : INFO : Epoch 8 | loss: 0.0548061 | val_loss: 0.0544252 | Time: 4831.76 ms [2020-11-24 13:26:56 main:581] : INFO : Epoch 9 | loss: 0.0538156 | val_loss: 0.0533787 | Time: 4906.65 ms [2020-11-24 13:27:01 main:581] : INFO : Epoch 10 | loss: 0.0528377 | val_loss: 0.052498 | Time: 4817.9 ms [2020-11-24 13:27:06 main:581] : INFO : Epoch 11 | loss: 0.0518049 | val_loss: 0.0514466 | Time: 4786.95 ms [2020-11-24 13:27:10 main:581] : INFO : Epoch 12 | loss: 0.0506717 | val_loss: 0.0503215 | Time: 4800.49 ms [2020-11-24 13:27:15 main:581] : INFO : Epoch 13 | loss: 0.0494967 | val_loss: 0.0490604 | Time: 4829.86 ms [2020-11-24 13:27:20 main:581] : INFO : Epoch 14 | loss: 0.0482011 | val_loss: 0.0480719 | Time: 4822.78 ms [2020-11-24 13:27:25 main:581] : INFO : Epoch 15 | loss: 0.0468015 | val_loss: 0.046585 | Time: 4820.66 ms [2020-11-24 13:27:30 main:581] : INFO : Epoch 16 | loss: 0.0451747 | val_loss: 0.0452627 | Time: 4804.61 ms [2020-11-24 13:27:34 main:581] : INFO : Epoch 17 | loss: 0.0432957 | val_loss: 0.0430382 | Time: 4497.18 ms [2020-11-24 13:27:39 main:581] : INFO : Epoch 18 | loss: 0.0413201 | val_loss: 0.0412958 | Time: 4948.43 ms [2020-11-24 13:27:44 main:581] : INFO : Epoch 19 | loss: 0.0389817 | val_loss: 0.0393919 | Time: 5121.7 ms [2020-11-24 13:27:49 main:581] : INFO : Epoch 20 | loss: 0.0368172 | val_loss: 0.0370075 | Time: 4796.1 ms [2020-11-24 13:27:54 main:581] : INFO : Epoch 21 | loss: 0.0351956 | val_loss: 0.0370141 | Time: 4838.52 ms [2020-11-24 13:27:59 main:581] : INFO : Epoch 22 | loss: 0.0326534 | val_loss: 0.0338117 | Time: 5020.06 ms [2020-11-24 13:28:04 main:581] : INFO : Epoch 23 | loss: 0.0323406 | val_loss: 0.069791 | Time: 5351.3 ms [2020-11-24 13:28:10 main:581] : INFO : Epoch 24 | loss: 0.0634123 | val_loss: 0.0625637 | Time: 5348.77 ms [2020-11-24 13:28:15 main:581] : INFO : Epoch 25 | loss: 0.0624032 | val_loss: 0.0621834 | Time: 5354.69 ms [2020-11-24 13:28:20 main:581] : INFO : Epoch 26 | loss: 0.0621065 | val_loss: 0.0619488 | Time: 5310.08 ms [2020-11-24 13:28:26 main:581] : INFO : Epoch 27 | loss: 0.0618882 | val_loss: 0.0617406 | Time: 5399.99 ms [2020-11-24 13:28:31 main:581] : INFO : Epoch 28 | loss: 0.0617006 | val_loss: 0.061564 | Time: 5349.67 ms [2020-11-24 13:28:36 main:581] : INFO : Epoch 29 | loss: 0.0615289 | val_loss: 0.0614022 | Time: 5360.35 ms [2020-11-24 13:28:41 main:581] : INFO : Epoch 30 | loss: 0.0613647 | val_loss: 0.0612531 | Time: 4847.1 ms [2020-11-24 13:28:46 main:581] : INFO : Epoch 31 | loss: 0.0612084 | val_loss: 0.0610829 | Time: 4841.42 ms [2020-11-24 13:28:51 main:581] : INFO : Epoch 32 | loss: 0.0610516 | val_loss: 0.0609501 | Time: 4823.1 ms [2020-11-24 13:28:56 main:581] : INFO : Epoch 33 | loss: 0.0608999 | val_loss: 0.0607862 | Time: 4823.01 ms [2020-11-24 13:29:01 main:581] : INFO : Epoch 34 | loss: 0.0607561 | val_loss: 0.0606374 | Time: 4827.14 ms [2020-11-24 13:29:05 main:581] : INFO : Epoch 35 | loss: 0.0606124 | val_loss: 0.0605083 | Time: 4829.71 ms [2020-11-24 13:29:10 main:581] : INFO : Epoch 36 | loss: 0.0604755 | val_loss: 0.0603835 | Time: 4826.74 ms [2020-11-24 13:29:15 main:581] : INFO : Epoch 37 | loss: 0.0603393 | val_loss: 0.0602497 | Time: 4822.48 ms [2020-11-24 13:29:20 main:581] : INFO : Epoch 38 | loss: 0.0602197 | val_loss: 0.060119 | Time: 5077.87 ms [2020-11-24 13:29:25 main:581] : INFO : Epoch 39 | loss: 0.0600937 | val_loss: 0.0600092 | Time: 5289.17 ms [2020-11-24 13:29:30 main:581] : INFO : Epoch 40 | loss: 0.0599655 | val_loss: 0.059896 | Time: 4994.46 ms [2020-11-24 13:29:35 main:581] : INFO : Epoch 41 | loss: 0.0598426 | val_loss: 0.0597737 | Time: 4884.87 ms [2020-11-24 13:29:40 main:581] : INFO : Epoch 42 | loss: 0.0597176 | val_loss: 0.0596393 | Time: 4814.44 ms [2020-11-24 13:29:45 main:581] : INFO : Epoch 43 | loss: 0.0595996 | val_loss: 0.0595345 | Time: 4802.6 ms [2020-11-24 13:29:50 main:581] : INFO : Epoch 44 | loss: 0.0594824 | val_loss: 0.0594228 | Time: 4804.96 ms [2020-11-24 13:29:55 main:581] : INFO : Epoch 45 | loss: 0.0593582 | val_loss: 0.0592744 | Time: 4808.33 ms [2020-11-24 13:29:59 main:581] : INFO : Epoch 46 | loss: 0.0592396 | val_loss: 0.059171 | Time: 4798.73 ms [2020-11-24 13:30:04 main:581] : INFO : Epoch 47 | loss: 0.0591188 | val_loss: 0.0590239 | Time: 4800.63 ms [2020-11-24 13:30:09 main:581] : INFO : Epoch 48 | loss: 0.0589875 | val_loss: 0.0589059 | Time: 4835.62 ms [2020-11-24 13:30:14 main:581] : INFO : Epoch 49 | loss: 0.0588582 | val_loss: 0.058787 | Time: 4842.3 ms [2020-11-24 13:30:19 main:581] : INFO : Epoch 50 | loss: 0.0587324 | val_loss: 0.058637 | Time: 4792.95 ms [2020-11-24 13:30:23 main:581] : INFO : Epoch 51 | loss: 0.0585975 | val_loss: 0.0585127 | Time: 4833.9 ms [2020-11-24 13:30:28 main:581] : INFO : Epoch 52 | loss: 0.0584705 | val_loss: 0.0584103 | Time: 4828.86 ms [2020-11-24 13:30:33 main:581] : INFO : Epoch 53 | loss: 0.0583351 | val_loss: 0.0582386 | Time: 4845.76 ms [2020-11-24 13:30:38 main:581] : INFO : Epoch 54 | loss: 0.0582019 | val_loss: 0.0581553 | Time: 4862.71 ms [2020-11-24 13:30:43 main:581] : INFO : Epoch 55 | loss: 0.0580721 | val_loss: 0.0579804 | Time: 4930.15 ms [2020-11-24 13:30:48 main:581] : INFO : Epoch 56 | loss: 0.0579404 | val_loss: 0.0578584 | Time: 5438.32 ms [2020-11-24 13:30:54 main:581] : INFO : Epoch 57 | loss: 0.0578186 | val_loss: 0.057725 | Time: 5189.39 ms [2020-11-24 13:30:58 main:581] : INFO : Epoch 58 | loss: 0.0576726 | val_loss: 0.0575847 | Time: 4856.18 ms [2020-11-24 13:31:03 main:581] : INFO : Epoch 59 | loss: 0.0575462 | val_loss: 0.0574576 | Time: 4796.11 ms [2020-11-24 13:31:08 main:581] : INFO : Epoch 60 | loss: 0.0574026 | val_loss: 0.0573349 | Time: 4815.17 ms [2020-11-24 13:31:13 main:581] : INFO : Epoch 61 | loss: 0.0572574 | val_loss: 0.0571805 | Time: 4814.26 ms [2020-11-24 13:31:18 main:581] : INFO : Epoch 62 | loss: 0.0571191 | val_loss: 0.057061 | Time: 4799.13 ms [2020-11-24 13:31:22 main:581] : INFO : Epoch 63 | loss: 0.0569822 | val_loss: 0.0568943 | Time: 4809.54 ms [2020-11-24 13:31:27 main:581] : INFO : Epoch 64 | loss: 0.0568319 | val_loss: 0.0567622 | Time: 4796.59 ms [2020-11-24 13:31:32 main:581] : INFO : Epoch 65 | loss: 0.0566789 | val_loss: 0.0566184 | Time: 4926.84 ms [2020-11-24 13:31:37 main:581] : INFO : Epoch 66 | loss: 0.0565427 | val_loss: 0.0564527 | Time: 4867.59 ms [2020-11-24 13:31:42 main:581] : INFO : Epoch 67 | loss: 0.0563831 | val_loss: 0.0562951 | Time: 4897.89 ms [2020-11-24 13:31:47 main:581] : INFO : Epoch 68 | loss: 0.0562307 | val_loss: 0.0561588 | Time: 4877.39 ms [2020-11-24 13:31:52 main:581] : INFO : Epoch 69 | loss: 0.0560788 | val_loss: 0.056011 | Time: 4819.84 ms [2020-11-24 13:31:56 main:581] : INFO : Epoch 70 | loss: 0.0559181 | val_loss: 0.0558685 | Time: 4823.48 ms [2020-11-24 13:32:01 main:581] : INFO : Epoch 71 | loss: 0.0557679 | val_loss: 0.0557091 | Time: 4828.12 ms [2020-11-24 13:32:06 main:581] : INFO : Epoch 72 | loss: 0.0556001 | val_loss: 0.0555581 | Time: 4978.06 ms [2020-11-24 13:32:11 main:581] : INFO : Epoch 73 | loss: 0.055438 | val_loss: 0.055416 | Time: 4879.3 ms [2020-11-24 13:32:16 main:581] : INFO : Epoch 74 | loss: 0.0552792 | val_loss: 0.0552231 | Time: 4856.63 ms [2020-11-24 13:32:21 main:581] : INFO : Epoch 75 | loss: 0.0551133 | val_loss: 0.0550561 | Time: 4876 ms [2020-11-24 13:32:26 main:581] : INFO : Epoch 76 | loss: 0.0549434 | val_loss: 0.0549081 | Time: 4883.31 ms [2020-11-24 13:32:31 main:581] : INFO : Epoch 77 | loss: 0.0547671 | val_loss: 0.0547315 | Time: 4817.04 ms [2020-11-24 13:32:35 main:581] : INFO : Epoch 78 | loss: 0.0545852 | val_loss: 0.0545574 | Time: 4795.73 ms [2020-11-24 13:32:40 main:581] : INFO : Epoch 79 | loss: 0.054403 | val_loss: 0.0544393 | Time: 4872.38 ms [2020-11-24 13:32:46 main:581] : INFO : Epoch 80 | loss: 0.0542277 | val_loss: 0.0542732 | Time: 5318.18 ms [2020-11-24 13:32:50 main:581] : INFO : Epoch 81 | loss: 0.0540335 | val_loss: 0.0540302 | Time: 4871.22 ms [2020-11-24 13:32:55 main:581] : INFO : Epoch 82 | loss: 0.0538397 | val_loss: 0.0539007 | Time: 4843.47 ms [2020-11-24 13:33:00 main:581] : INFO : Epoch 83 | loss: 0.0536076 | val_loss: 0.0536059 | Time: 4856.77 ms [2020-11-24 13:33:05 main:581] : INFO : Epoch 84 | loss: 0.0534004 | val_loss: 0.0534883 | Time: 4872.39 ms [2020-11-24 13:33:10 main:581] : INFO : Epoch 85 | loss: 0.0531418 | val_loss: 0.0531694 | Time: 4874.61 ms [2020-11-24 13:33:15 main:581] : INFO : Epoch 86 | loss: 0.0529025 | val_loss: 0.0529485 | Time: 4846.64 ms [2020-11-24 13:33:20 main:581] : INFO : Epoch 87 | loss: 0.0526827 | val_loss: 0.0526917 | Time: 4818.1 ms [2020-11-24 13:33:24 main:581] : INFO : Epoch 88 | loss: 0.0524252 | val_loss: 0.0525021 | Time: 4817.95 ms [2020-11-24 13:33:29 main:581] : INFO : Epoch 89 | loss: 0.0521542 | val_loss: 0.0522598 | Time: 4831.27 ms [2020-11-24 13:33:34 main:581] : INFO : Epoch 90 | loss: 0.0518983 | val_loss: 0.0520585 | Time: 4862.17 ms [2020-11-24 13:33:39 main:581] : INFO : Epoch 91 | loss: 0.0516469 | val_loss: 0.0518414 | Time: 4847.27 ms [2020-11-24 13:33:44 main:581] : INFO : Epoch 92 | loss: 0.0513392 | val_loss: 0.0514991 | Time: 4836.81 ms [2020-11-24 13:33:49 main:581] : INFO : Epoch 93 | loss: 0.0510376 | val_loss: 0.0511795 | Time: 4851.48 ms [2020-11-24 13:33:53 main:581] : INFO : Epoch 94 | loss: 0.0507244 | val_loss: 0.0508885 | Time: 4831.28 ms [2020-11-24 13:33:58 main:581] : INFO : Epoch 95 | loss: 0.0503757 | val_loss: 0.0506879 | Time: 4838.86 ms [2020-11-24 13:34:03 main:581] : INFO : Epoch 96 | loss: 0.0500622 | val_loss: 0.0502492 | Time: 4825 ms [2020-11-24 13:34:08 main:581] : INFO : Epoch 97 | loss: 0.0496836 | val_loss: 0.0499395 | Time: 4837.84 ms [2020-11-24 13:34:13 main:581] : INFO : Epoch 98 | loss: 0.0493001 | val_loss: 0.0496927 | Time: 4854.87 ms [2020-11-24 13:34:18 main:581] : INFO : Epoch 99 | loss: 0.0488888 | val_loss: 0.0491019 | Time: 4844.08 ms [2020-11-24 13:34:23 main:581] : INFO : Epoch 100 | loss: 0.0484071 | val_loss: 0.0487754 | Time: 4850.26 ms [2020-11-24 13:34:27 main:581] : INFO : Epoch 101 | loss: 0.0479801 | val_loss: 0.0483239 | Time: 4875.71 ms [2020-11-24 13:34:32 main:581] : INFO : Epoch 102 | loss: 0.04736 | val_loss: 0.0478054 | Time: 4868.54 ms [2020-11-24 13:34:37 main:581] : INFO : Epoch 103 | loss: 0.046797 | val_loss: 0.0473673 | Time: 4836.57 ms [2020-11-24 13:34:42 main:581] : INFO : Epoch 104 | loss: 0.0461471 | val_loss: 0.046708 | Time: 4859.72 ms [2020-11-24 13:34:47 main:581] : INFO : Epoch 105 | loss: 0.0453858 | val_loss: 0.0458442 | Time: 4895.81 ms [2020-11-24 13:34:52 main:581] : INFO : Epoch 106 | loss: 0.0445724 | val_loss: 0.0452814 | Time: 4829.9 ms [2020-11-24 13:34:57 main:581] : INFO : Epoch 107 | loss: 0.0435125 | val_loss: 0.0444298 | Time: 4828.6 ms [2020-11-24 13:35:01 main:581] : INFO : Epoch 108 | loss: 0.0424309 | val_loss: 0.0433889 | Time: 4852.19 ms [2020-11-24 13:35:06 main:581] : INFO : Epoch 109 | loss: 0.0410853 | val_loss: 0.0421249 | Time: 4856.71 ms [2020-11-24 13:35:11 main:581] : INFO : Epoch 110 | loss: 0.0396987 | val_loss: 0.040521 | Time: 4798.26 ms [2020-11-24 13:35:16 main:581] : INFO : Epoch 111 | loss: 0.0380397 | val_loss: 0.039204 | Time: 4805.73 ms [2020-11-24 13:35:21 main:581] : INFO : Epoch 112 | loss: 0.0362856 | val_loss: 0.0369559 | Time: 4816.51 ms [2020-11-24 13:35:25 main:581] : INFO : Epoch 113 | loss: 0.0348413 | val_loss: 0.0360695 | Time: 4833.77 ms [2020-11-24 13:35:30 main:581] : INFO : Epoch 114 | loss: 0.0349265 | val_loss: 0.0574969 | Time: 4843.92 ms [2020-11-24 13:35:35 main:581] : INFO : Epoch 115 | loss: 0.0427083 | val_loss: 0.0357473 | Time: 4874.09 ms [2020-11-24 13:35:40 main:581] : INFO : Epoch 116 | loss: 0.0360543 | val_loss: 0.032362 | Time: 4839.32 ms [2020-11-24 13:35:45 main:581] : INFO : Epoch 117 | loss: 0.0322244 | val_loss: 0.0368513 | Time: 4835.95 ms [2020-11-24 13:35:50 main:581] : INFO : Epoch 118 | loss: 0.0299827 | val_loss: 0.0310197 | Time: 4837.98 ms [2020-11-24 13:35:55 main:581] : INFO : Epoch 119 | loss: 0.0305885 | val_loss: 0.0366543 | Time: 4849.44 ms [2020-11-24 13:35:59 main:581] : INFO : Epoch 120 | loss: 0.0332661 | val_loss: 0.045683 | Time: 4904.49 ms [2020-11-24 13:36:04 main:581] : INFO : Epoch 121 | loss: 0.0331327 | val_loss: 0.0273609 | Time: 4861.66 ms [2020-11-24 13:36:09 main:581] : INFO : Epoch 122 | loss: 0.0287796 | val_loss: 0.0255843 | Time: 4843.72 ms [2020-11-24 13:36:14 main:581] : INFO : Epoch 123 | loss: 0.0560804 | val_loss: 0.0594144 | Time: 4830.23 ms [2020-11-24 13:36:18 main:581] : INFO : Epoch 124 | loss: 0.0580506 | val_loss: 0.0564545 | Time: 4469.24 ms [2020-11-24 13:36:23 main:581] : INFO : Epoch 125 | loss: 0.0542199 | val_loss: 0.0516128 | Time: 4130.3 ms [2020-11-24 13:36:27 main:581] : INFO : Epoch 126 | loss: 0.0470646 | val_loss: 0.0412908 | Time: 4057.96 ms [2020-11-24 13:36:31 main:581] : INFO : Epoch 127 | loss: 0.0353333 | val_loss: 0.0320669 | Time: 4051.9 ms [2020-11-24 13:36:35 main:581] : INFO : Epoch 128 | loss: 0.0280293 | val_loss: 0.0283329 | Time: 4099.12 ms [2020-11-24 13:36:39 main:581] : INFO : Epoch 129 | loss: 0.0280885 | val_loss: 0.0229116 | Time: 4257.98 ms [2020-11-24 13:36:43 main:581] : INFO : Epoch 130 | loss: 0.0387263 | val_loss: 0.0266012 | Time: 4119.68 ms [2020-11-24 13:36:47 main:581] : INFO : Epoch 131 | loss: 0.0398254 | val_loss: 0.0581454 | Time: 4046.24 ms [2020-11-24 13:36:51 main:581] : INFO : Epoch 132 | loss: 0.0550979 | val_loss: 0.0517002 | Time: 4133.19 ms [2020-11-24 13:36:55 main:581] : INFO : Epoch 133 | loss: 0.0450665 | val_loss: 0.0387454 | Time: 3933.02 ms [2020-11-24 13:36:59 main:581] : INFO : Epoch 134 | loss: 0.0307963 | val_loss: 0.0271444 | Time: 4063.3 ms [2020-11-24 13:37:03 main:581] : INFO : Epoch 135 | loss: 0.025481 | val_loss: 0.0235774 | Time: 4012.67 ms [2020-11-24 13:37:07 main:581] : INFO : Epoch 136 | loss: 0.0255474 | val_loss: 0.0226558 | Time: 3977.96 ms [2020-11-24 13:37:12 main:581] : INFO : Epoch 137 | loss: 0.0248973 | val_loss: 0.0221312 | Time: 4169.38 ms [2020-11-24 13:37:16 main:581] : INFO : Epoch 138 | loss: 0.0249689 | val_loss: 0.0287121 | Time: 4044.85 ms [2020-11-24 13:37:20 main:581] : INFO : Epoch 139 | loss: 0.0267835 | val_loss: 0.0219585 | Time: 4062.86 ms [2020-11-24 13:37:24 main:581] : INFO : Epoch 140 | loss: 0.0264117 | val_loss: 0.0581854 | Time: 3910.9 ms [2020-11-24 13:37:28 main:581] : INFO : Epoch 141 | loss: 0.0540827 | val_loss: 0.0498923 | Time: 4003.91 ms [2020-11-24 13:37:32 main:581] : INFO : Epoch 142 | loss: 0.0428989 | val_loss: 0.0371681 | Time: 4194.85 ms [2020-11-24 13:37:36 main:581] : INFO : Epoch 143 | loss: 0.0287567 | val_loss: 0.0274212 | Time: 4181.8 ms [2020-11-24 13:37:40 main:581] : INFO : Epoch 144 | loss: 0.0216665 | val_loss: 0.0197449 | Time: 4218.43 ms [2020-11-24 13:37:44 main:581] : INFO : Epoch 145 | loss: 0.0416991 | val_loss: 0.0389676 | Time: 4127.08 ms [2020-11-24 13:37:49 main:581] : INFO : Epoch 146 | loss: 0.0304896 | val_loss: 0.0228072 | Time: 4241.85 ms [2020-11-24 13:37:53 main:581] : INFO : Epoch 147 | loss: 0.0247884 | val_loss: 0.0274441 | Time: 4606.39 ms [2020-11-24 13:37:57 main:581] : INFO : Epoch 148 | loss: 0.0334439 | val_loss: 0.0269341 | Time: 4128.27 ms [2020-11-24 13:38:01 main:581] : INFO : Epoch 149 | loss: 0.0197258 | val_loss: 0.0171416 | Time: 4057.63 ms [2020-11-24 13:38:05 main:581] : INFO : Epoch 150 | loss: 0.0172798 | val_loss: 0.0169517 | Time: 4180.25 ms [2020-11-24 13:38:10 main:581] : INFO : Epoch 151 | loss: 0.0285078 | val_loss: 0.0193208 | Time: 4171.02 ms [2020-11-24 13:38:14 main:581] : INFO : Epoch 152 | loss: 0.023795 | val_loss: 0.0578519 | Time: 4337.79 ms [2020-11-24 13:38:18 main:581] : INFO : Epoch 153 | loss: 0.0561793 | val_loss: 0.0534751 | Time: 4061.06 ms [2020-11-24 13:38:22 main:581] : INFO : Epoch 154 | loss: 0.047796 | val_loss: 0.0400493 | Time: 4091.9 ms [2020-11-24 13:38:26 main:581] : INFO : Epoch 155 | loss: 0.0342363 | val_loss: 0.0283097 | Time: 3888.32 ms [2020-11-24 13:38:30 main:581] : INFO : Epoch 156 | loss: 0.0212574 | val_loss: 0.0208003 | Time: 3930.79 ms [2020-11-24 13:38:34 main:581] : INFO : Epoch 157 | loss: 0.0164676 | val_loss: 0.0154195 | Time: 3682.44 ms [2020-11-24 13:38:37 main:581] : INFO : Epoch 158 | loss: 0.0139218 | val_loss: 0.0136528 | Time: 3762.56 ms [2020-11-24 13:38:41 main:581] : INFO : Epoch 159 | loss: 0.0141506 | val_loss: 0.0132644 | Time: 3943.28 ms [2020-11-24 13:38:45 main:581] : INFO : Epoch 160 | loss: 0.0130743 | val_loss: 0.0131807 | Time: 4011.46 ms [2020-11-24 13:38:49 main:581] : INFO : Epoch 161 | loss: 0.0173264 | val_loss: 0.065679 | Time: 4045.17 ms [2020-11-24 13:38:53 main:581] : INFO : Epoch 162 | loss: 0.0610594 | val_loss: 0.0601344 | Time: 3981.22 ms [2020-11-24 13:38:57 main:581] : INFO : Epoch 163 | loss: 0.059844 | val_loss: 0.0593315 | Time: 3736.81 ms [2020-11-24 13:39:01 main:581] : INFO : Epoch 164 | loss: 0.0590046 | val_loss: 0.058388 | Time: 3803.43 ms [2020-11-24 13:39:05 main:581] : INFO : Epoch 165 | loss: 0.0579091 | val_loss: 0.0571141 | Time: 3887.99 ms [2020-11-24 13:39:09 main:581] : INFO : Epoch 166 | loss: 0.0564247 | val_loss: 0.0554262 | Time: 3973.32 ms [2020-11-24 13:39:13 main:581] : INFO : Epoch 167 | loss: 0.0544293 | val_loss: 0.0530366 | Time: 3922.69 ms [2020-11-24 13:39:17 main:581] : INFO : Epoch 168 | loss: 0.0513988 | val_loss: 0.0488084 | Time: 3935.54 ms [2020-11-24 13:39:21 main:581] : INFO : Epoch 169 | loss: 0.04519 | val_loss: 0.039679 | Time: 3864.14 ms [2020-11-24 13:39:24 main:581] : INFO : Epoch 170 | loss: 0.0479984 | val_loss: 0.0480878 | Time: 3920.39 ms [2020-11-24 13:39:28 main:581] : INFO : Epoch 171 | loss: 0.0409773 | val_loss: 0.0399554 | Time: 3582.13 ms [2020-11-24 13:39:32 main:581] : INFO : Epoch 172 | loss: 0.0300241 | val_loss: 0.0244859 | Time: 3564.84 ms [2020-11-24 13:39:35 main:581] : INFO : Epoch 173 | loss: 0.0292757 | val_loss: 0.0259131 | Time: 3534.61 ms [2020-11-24 13:39:39 main:581] : INFO : Epoch 174 | loss: 0.021151 | val_loss: 0.0178333 | Time: 3592.29 ms [2020-11-24 13:39:42 main:581] : INFO : Epoch 175 | loss: 0.0152979 | val_loss: 0.0147112 | Time: 3508.57 ms [2020-11-24 13:39:46 main:581] : INFO : Epoch 176 | loss: 0.0256802 | val_loss: 0.026822 | Time: 3508.64 ms [2020-11-24 13:39:49 main:581] : INFO : Epoch 177 | loss: 0.0173536 | val_loss: 0.0151185 | Time: 3513.19 ms [2020-11-24 13:39:53 main:581] : INFO : Epoch 178 | loss: 0.0132964 | val_loss: 0.0126679 | Time: 3444.95 ms [2020-11-24 13:39:56 main:581] : INFO : Epoch 179 | loss: 0.0127206 | val_loss: 0.012167 | Time: 3547.56 ms [2020-11-24 13:40:00 main:581] : INFO : Epoch 180 | loss: 0.0117595 | val_loss: 0.0118238 | Time: 3721.18 ms [2020-11-24 13:40:03 main:581] : INFO : Epoch 181 | loss: 0.0131004 | val_loss: 0.0128827 | Time: 3398.33 ms [2020-11-24 13:40:07 main:581] : INFO : Epoch 182 | loss: 0.0112761 | val_loss: 0.0110901 | Time: 3386.08 ms [2020-11-24 13:40:10 main:581] : INFO : Epoch 183 | loss: 0.0104945 | val_loss: 0.010481 | Time: 3498.67 ms [2020-11-24 13:40:14 main:581] : INFO : Epoch 184 | loss: 0.0102252 | val_loss: 0.0104016 | Time: 3651.84 ms [2020-11-24 13:40:18 main:581] : INFO : Epoch 185 | loss: 0.00989714 | val_loss: 0.0100156 | Time: 3668.19 ms [2020-11-24 13:40:21 main:581] : INFO : Epoch 186 | loss: 0.00964514 | val_loss: 0.00978446 | Time: 3892.73 ms [2020-11-24 13:40:25 main:581] : INFO : Epoch 187 | loss: 0.00945833 | val_loss: 0.0096824 | Time: 3866.93 ms [2020-11-24 13:40:29 main:581] : INFO : Epoch 188 | loss: 0.00923204 | val_loss: 0.00939472 | Time: 3778.72 ms [2020-11-24 13:40:33 main:581] : INFO : Epoch 189 | loss: 0.00910413 | val_loss: 0.00920613 | Time: 3702.07 ms [2020-11-24 13:40:37 main:581] : INFO : Epoch 190 | loss: 0.00888884 | val_loss: 0.00904751 | Time: 3767.24 ms [2020-11-24 13:40:40 main:581] : INFO : Epoch 191 | loss: 0.00868899 | val_loss: 0.00885679 | Time: 3581.18 ms [2020-11-24 13:40:44 main:581] : INFO : Epoch 192 | loss: 0.00852237 | val_loss: 0.00869901 | Time: 3459.79 ms [2020-11-24 13:40:44 main:604] : INFO : Saving trained model to model-final.pt, val_loss 0.00869901 [2020-11-24 13:40:44 main:610] : INFO : Saving end state to config to file [2020-11-24 13:40:44 main:615] : INFO : Success, exiting.. 13:40:44 (3182442): 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)