Task 3048064
| Name | rand_automata_0052-1606118059-24853-2_0 |
| Workunit | 1381581 |
| Created | 24 Nov 2020, 4:26:41 UTC |
| Sent | 24 Nov 2020, 4:57:05 UTC |
| Report deadline | 1 Dec 2020, 4:57:05 UTC |
| Received | 24 Nov 2020, 19:41:32 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 4379 |
| Run time | 15 min 26 sec |
| CPU time | 15 min 23 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 -c -a LSTM --lr 0.001 -w 64 -b 2 -s 32 --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 14:10:23 main:442] : INFO : Set logging level to 1 [2020-11-24 14:10:23 main:448] : INFO : Running in BOINC Client mode [2020-11-24 14:10:23 main:451] : INFO : Resolving all filenames [2020-11-24 14:10:23 main:459] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0052-train-val-dataset.hdf5 (exists = 1) [2020-11-24 14:10:23 main:459] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0052-1606118059-24853-2_0_r1685932145_1 (exists = 0) [2020-11-24 14:10:23 main:459] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0052-1606118059-24853-2_0_r1685932145_0 (exists = 0) [2020-11-24 14:10:23 main:459] : INFO : Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0052-1606118059-24853-2 (exists = 1) [2020-11-24 14:10:23 main:459] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-24 14:10:23 main:479] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/rand_automata_0052-train-val-dataset.hdf5 [2020-11-24 14:10:23 main:481] : INFO : Configuration: [2020-11-24 14:10:23 main:482] : INFO : Model type: LSTM [2020-11-24 14:10:23 main:483] : INFO : Validation Loss Threshold: 0.0001 [2020-11-24 14:10:23 main:484] : INFO : Max Epochs: 192 [2020-11-24 14:10:23 main:485] : INFO : Batch Size: 32 [2020-11-24 14:10:23 main:486] : INFO : Learning Rate: 0.001 [2020-11-24 14:10:23 main:487] : INFO : Patience: 10 [2020-11-24 14:10:23 main:488] : INFO : Hidden Width: 64 [2020-11-24 14:10:23 main:489] : INFO : # Recurrent Layers: 4 [2020-11-24 14:10:23 main:490] : INFO : # Backend Layers: 2 [2020-11-24 14:10:23 main:491] : INFO : # Threads: 1 [2020-11-24 14:10:23 main:493] : INFO : Preparing Dataset [2020-11-24 14:10:23 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0052-train-val-dataset.hdf5 into memory [2020-11-24 14:10:23 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0052-train-val-dataset.hdf5 into memory [2020-11-24 14:10:24 load:106] : INFO : Successfully loaded dataset of 4096 examples into memory. [2020-11-24 14:10:24 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0052-train-val-dataset.hdf5 into memory [2020-11-24 14:10:24 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0052-train-val-dataset.hdf5 into memory [2020-11-24 14:10:24 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-24 14:10:24 main:501] : INFO : Creating Model [2020-11-24 14:10:24 main:514] : INFO : Preparing config file [2020-11-24 14:10:24 main:526] : INFO : Creating new config file [2020-11-24 14:10:24 main:545] : INFO : This is a continuation WU, loading previous network [2020-11-24 14:10:25 main:566] : INFO : Loading DataLoader into Memory [2020-11-24 14:10:25 main:569] : INFO : Starting Training [2020-11-24 14:10:30 main:581] : INFO : Epoch 1 | loss: 0.018815 | val_loss: 0.0213257 | Time: 5273.71 ms [2020-11-24 14:10:35 main:581] : INFO : Epoch 2 | loss: 0.0163923 | val_loss: 0.0143692 | Time: 4709.36 ms [2020-11-24 14:10:39 main:581] : INFO : Epoch 3 | loss: 0.0141178 | val_loss: 0.0136889 | Time: 4693.86 ms [2020-11-24 14:10:44 main:581] : INFO : Epoch 4 | loss: 0.0126468 | val_loss: 0.0123055 | Time: 4745.64 ms [2020-11-24 14:10:49 main:581] : INFO : Epoch 5 | loss: 0.0117375 | val_loss: 0.0117348 | Time: 4791.51 ms [2020-11-24 14:10:53 main:581] : INFO : Epoch 6 | loss: 0.011611 | val_loss: 0.0121314 | Time: 4726.79 ms [2020-11-24 14:10:58 main:581] : INFO : Epoch 7 | loss: 0.0138173 | val_loss: 0.0147151 | Time: 4732.39 ms [2020-11-24 14:11:03 main:581] : INFO : Epoch 8 | loss: 0.0129344 | val_loss: 0.0114009 | Time: 4822.38 ms [2020-11-24 14:11:08 main:581] : INFO : Epoch 9 | loss: 0.0108506 | val_loss: 0.0108104 | Time: 4814.43 ms [2020-11-24 14:11:13 main:581] : INFO : Epoch 10 | loss: 0.019197 | val_loss: 0.0317485 | Time: 4823.4 ms [2020-11-24 14:11:18 main:581] : INFO : Epoch 11 | loss: 0.0185842 | val_loss: 0.0132387 | Time: 4831.19 ms [2020-11-24 14:11:22 main:581] : INFO : Epoch 12 | loss: 0.0299937 | val_loss: 0.0530982 | Time: 4804.43 ms [2020-11-24 14:11:27 main:581] : INFO : Epoch 13 | loss: 0.0464898 | val_loss: 0.0381603 | Time: 4789.36 ms [2020-11-24 14:11:32 main:581] : INFO : Epoch 14 | loss: 0.0283787 | val_loss: 0.0221566 | Time: 5176.65 ms [2020-11-24 14:11:37 main:581] : INFO : Epoch 15 | loss: 0.0235622 | val_loss: 0.0213443 | Time: 4897.31 ms [2020-11-24 14:11:42 main:581] : INFO : Epoch 16 | loss: 0.0180574 | val_loss: 0.0164609 | Time: 4818.74 ms [2020-11-24 14:11:47 main:581] : INFO : Epoch 17 | loss: 0.0148344 | val_loss: 0.0137275 | Time: 4808.78 ms [2020-11-24 14:11:52 main:581] : INFO : Epoch 18 | loss: 0.0127432 | val_loss: 0.0194459 | Time: 4727.58 ms [2020-11-24 14:11:56 main:581] : INFO : Epoch 19 | loss: 0.0538513 | val_loss: 0.05831 | Time: 4720.8 ms [2020-11-24 14:12:01 main:581] : INFO : Epoch 20 | loss: 0.0575397 | val_loss: 0.0569173 | Time: 4808.25 ms [2020-11-24 14:12:06 main:581] : INFO : Epoch 21 | loss: 0.0559493 | val_loss: 0.0550658 | Time: 4796.41 ms [2020-11-24 14:12:11 main:581] : INFO : Epoch 22 | loss: 0.0533098 | val_loss: 0.0514885 | Time: 4788.76 ms [2020-11-24 14:12:15 main:581] : INFO : Epoch 23 | loss: 0.0466492 | val_loss: 0.0409788 | Time: 4750.14 ms [2020-11-24 14:12:20 main:581] : INFO : Epoch 24 | loss: 0.0322473 | val_loss: 0.0239184 | Time: 4761.81 ms [2020-11-24 14:12:25 main:581] : INFO : Epoch 25 | loss: 0.0203643 | val_loss: 0.0176692 | Time: 4732.4 ms [2020-11-24 14:12:30 main:581] : INFO : Epoch 26 | loss: 0.0171845 | val_loss: 0.015915 | Time: 4732.21 ms [2020-11-24 14:12:34 main:581] : INFO : Epoch 27 | loss: 0.0184625 | val_loss: 0.0161561 | Time: 4753.45 ms [2020-11-24 14:12:40 main:581] : INFO : Epoch 28 | loss: 0.0147745 | val_loss: 0.0151892 | Time: 5143.23 ms [2020-11-24 14:12:44 main:581] : INFO : Epoch 29 | loss: 0.0132226 | val_loss: 0.0144139 | Time: 4871.59 ms [2020-11-24 14:12:49 main:581] : INFO : Epoch 30 | loss: 0.012318 | val_loss: 0.0117497 | Time: 4721.65 ms [2020-11-24 14:12:54 main:581] : INFO : Epoch 31 | loss: 0.0147147 | val_loss: 0.0188234 | Time: 4794.42 ms [2020-11-24 14:12:59 main:581] : INFO : Epoch 32 | loss: 0.0208987 | val_loss: 0.0285038 | Time: 4736.98 ms [2020-11-24 14:13:03 main:581] : INFO : Epoch 33 | loss: 0.0441191 | val_loss: 0.0402936 | Time: 4697.16 ms [2020-11-24 14:13:08 main:581] : INFO : Epoch 34 | loss: 0.0261134 | val_loss: 0.0187998 | Time: 4739.6 ms [2020-11-24 14:13:13 main:581] : INFO : Epoch 35 | loss: 0.0311384 | val_loss: 0.0466968 | Time: 4755.35 ms [2020-11-24 14:13:18 main:581] : INFO : Epoch 36 | loss: 0.0326397 | val_loss: 0.022071 | Time: 4681.85 ms [2020-11-24 14:13:22 main:581] : INFO : Epoch 37 | loss: 0.017048 | val_loss: 0.0152073 | Time: 4710.63 ms [2020-11-24 14:13:27 main:581] : INFO : Epoch 38 | loss: 0.0163642 | val_loss: 0.0152954 | Time: 4729.58 ms [2020-11-24 14:13:32 main:581] : INFO : Epoch 39 | loss: 0.0131795 | val_loss: 0.0126524 | Time: 4724.93 ms [2020-11-24 14:13:36 main:581] : INFO : Epoch 40 | loss: 0.0116856 | val_loss: 0.0115638 | Time: 4727.85 ms [2020-11-24 14:13:41 main:581] : INFO : Epoch 41 | loss: 0.0111988 | val_loss: 0.0111289 | Time: 4759.95 ms [2020-11-24 14:13:46 main:581] : INFO : Epoch 42 | loss: 0.0240337 | val_loss: 0.0293083 | Time: 4770.34 ms [2020-11-24 14:13:51 main:581] : INFO : Epoch 43 | loss: 0.0188116 | val_loss: 0.0156047 | Time: 4738.65 ms [2020-11-24 14:13:55 main:581] : INFO : Epoch 44 | loss: 0.0142156 | val_loss: 0.0127867 | Time: 4758.99 ms [2020-11-24 14:14:00 main:581] : INFO : Epoch 45 | loss: 0.0118267 | val_loss: 0.0113553 | Time: 4721.69 ms [2020-11-24 14:14:05 main:581] : INFO : Epoch 46 | loss: 0.011033 | val_loss: 0.0108047 | Time: 4754.79 ms [2020-11-24 14:14:10 main:581] : INFO : Epoch 47 | loss: 0.012598 | val_loss: 0.0132633 | Time: 4761.64 ms [2020-11-24 14:14:14 main:581] : INFO : Epoch 48 | loss: 0.0112532 | val_loss: 0.01077 | Time: 4728.93 ms [2020-11-24 14:14:19 main:581] : INFO : Epoch 49 | loss: 0.0105357 | val_loss: 0.0101841 | Time: 4791.16 ms [2020-11-24 14:14:24 main:581] : INFO : Epoch 50 | loss: 0.0097902 | val_loss: 0.00977375 | Time: 4750.39 ms [2020-11-24 14:14:29 main:581] : INFO : Epoch 51 | loss: 0.00957935 | val_loss: 0.00996591 | Time: 4728.05 ms [2020-11-24 14:14:33 main:581] : INFO : Epoch 52 | loss: 0.00941478 | val_loss: 0.0112951 | Time: 4755.62 ms [2020-11-24 14:14:38 main:581] : INFO : Epoch 53 | loss: 0.00967491 | val_loss: 0.00997468 | Time: 4777.42 ms [2020-11-24 14:14:43 main:581] : INFO : Epoch 54 | loss: 0.0283959 | val_loss: 0.0511505 | Time: 4769.74 ms [2020-11-24 14:14:48 main:581] : INFO : Epoch 55 | loss: 0.0431377 | val_loss: 0.0312835 | Time: 4770.86 ms [2020-11-24 14:14:52 main:581] : INFO : Epoch 56 | loss: 0.0419704 | val_loss: 0.0346963 | Time: 4753.16 ms [2020-11-24 14:14:57 main:581] : INFO : Epoch 57 | loss: 0.0229686 | val_loss: 0.0162661 | Time: 4764.95 ms [2020-11-24 14:15:02 main:581] : INFO : Epoch 58 | loss: 0.0214934 | val_loss: 0.0177137 | Time: 4774.28 ms [2020-11-24 14:15:07 main:581] : INFO : Epoch 59 | loss: 0.0150952 | val_loss: 0.0139459 | Time: 4755.8 ms [2020-11-24 14:15:12 main:581] : INFO : Epoch 60 | loss: 0.0122314 | val_loss: 0.0122821 | Time: 4755.02 ms [2020-11-24 14:15:16 main:581] : INFO : Epoch 61 | loss: 0.0108163 | val_loss: 0.0107259 | Time: 4770.95 ms [2020-11-24 14:15:21 main:581] : INFO : Epoch 62 | loss: 0.0101207 | val_loss: 0.0102886 | Time: 4744.22 ms [2020-11-24 14:15:26 main:581] : INFO : Epoch 63 | loss: 0.0097672 | val_loss: 0.00988097 | Time: 4748.36 ms [2020-11-24 14:15:31 main:581] : INFO : Epoch 64 | loss: 0.00943138 | val_loss: 0.00954227 | Time: 5244.01 ms [2020-11-24 14:15:36 main:581] : INFO : Epoch 65 | loss: 0.00912522 | val_loss: 0.00928872 | Time: 5148.01 ms [2020-11-24 14:15:41 main:581] : INFO : Epoch 66 | loss: 0.00890262 | val_loss: 0.00917095 | Time: 4868.69 ms [2020-11-24 14:15:46 main:581] : INFO : Epoch 67 | loss: 0.00873248 | val_loss: 0.00890494 | Time: 4763.5 ms [2020-11-24 14:15:51 main:581] : INFO : Epoch 68 | loss: 0.00854803 | val_loss: 0.00875979 | Time: 4766.38 ms [2020-11-24 14:15:55 main:581] : INFO : Epoch 69 | loss: 0.0083913 | val_loss: 0.0086083 | Time: 4778.33 ms [2020-11-24 14:16:00 main:581] : INFO : Epoch 70 | loss: 0.00826146 | val_loss: 0.00851017 | Time: 4889.34 ms [2020-11-24 14:16:05 main:581] : INFO : Epoch 71 | loss: 0.00812885 | val_loss: 0.00831705 | Time: 5073.48 ms [2020-11-24 14:16:10 main:581] : INFO : Epoch 72 | loss: 0.00800616 | val_loss: 0.0082229 | Time: 4768.35 ms [2020-11-24 14:16:15 main:581] : INFO : Epoch 73 | loss: 0.00790058 | val_loss: 0.00798612 | Time: 4767.91 ms [2020-11-24 14:16:20 main:581] : INFO : Epoch 74 | loss: 0.00774384 | val_loss: 0.00781785 | Time: 4773.41 ms [2020-11-24 14:16:24 main:581] : INFO : Epoch 75 | loss: 0.00762476 | val_loss: 0.00773281 | Time: 4784.79 ms [2020-11-24 14:16:29 main:581] : INFO : Epoch 76 | loss: 0.0076519 | val_loss: 0.00754963 | Time: 4773.25 ms [2020-11-24 14:16:34 main:581] : INFO : Epoch 77 | loss: 0.00744825 | val_loss: 0.00747759 | Time: 4778.96 ms [2020-11-24 14:16:39 main:581] : INFO : Epoch 78 | loss: 0.00731585 | val_loss: 0.00735407 | Time: 5218.5 ms [2020-11-24 14:16:44 main:581] : INFO : Epoch 79 | loss: 0.0072135 | val_loss: 0.00717775 | Time: 5164.48 ms [2020-11-24 14:16:50 main:581] : INFO : Epoch 80 | loss: 0.00709773 | val_loss: 0.00704945 | Time: 5411.85 ms [2020-11-24 14:16:55 main:581] : INFO : Epoch 81 | loss: 0.00699541 | val_loss: 0.00701678 | Time: 5147.35 ms [2020-11-24 14:17:00 main:581] : INFO : Epoch 82 | loss: 0.00688935 | val_loss: 0.00690268 | Time: 5147.59 ms [2020-11-24 14:17:05 main:581] : INFO : Epoch 83 | loss: 0.00685738 | val_loss: 0.00992658 | Time: 5197.82 ms [2020-11-24 14:17:10 main:581] : INFO : Epoch 84 | loss: 0.0074198 | val_loss: 0.00678507 | Time: 4918.6 ms [2020-11-24 14:17:15 main:581] : INFO : Epoch 85 | loss: 0.00703311 | val_loss: 0.0068192 | Time: 4758.07 ms [2020-11-24 14:17:20 main:581] : INFO : Epoch 86 | loss: 0.00661469 | val_loss: 0.00651101 | Time: 4758.05 ms [2020-11-24 14:17:24 main:581] : INFO : Epoch 87 | loss: 0.00643275 | val_loss: 0.00638028 | Time: 4749.51 ms [2020-11-24 14:17:29 main:581] : INFO : Epoch 88 | loss: 0.00630557 | val_loss: 0.0062678 | Time: 4762.74 ms [2020-11-24 14:17:34 main:581] : INFO : Epoch 89 | loss: 0.00618754 | val_loss: 0.00615758 | Time: 4764.03 ms [2020-11-24 14:17:39 main:581] : INFO : Epoch 90 | loss: 0.00621483 | val_loss: 0.00611366 | Time: 4735.21 ms [2020-11-24 14:17:44 main:581] : INFO : Epoch 91 | loss: 0.0062471 | val_loss: 0.00619918 | Time: 4798.36 ms [2020-11-24 14:17:49 main:581] : INFO : Epoch 92 | loss: 0.00693069 | val_loss: 0.00618869 | Time: 5017.43 ms [2020-11-24 14:17:53 main:581] : INFO : Epoch 93 | loss: 0.00599331 | val_loss: 0.0061035 | Time: 4752.69 ms [2020-11-24 14:17:58 main:581] : INFO : Epoch 94 | loss: 0.00588275 | val_loss: 0.00574216 | Time: 4760.88 ms [2020-11-24 14:18:03 main:581] : INFO : Epoch 95 | loss: 0.00563141 | val_loss: 0.00560565 | Time: 4710.4 ms [2020-11-24 14:18:08 main:581] : INFO : Epoch 96 | loss: 0.00549679 | val_loss: 0.00547834 | Time: 4765.89 ms [2020-11-24 14:18:12 main:581] : INFO : Epoch 97 | loss: 0.0053776 | val_loss: 0.00536256 | Time: 4753.51 ms [2020-11-24 14:18:17 main:581] : INFO : Epoch 98 | loss: 0.00526392 | val_loss: 0.00525124 | Time: 4715.28 ms [2020-11-24 14:18:22 main:581] : INFO : Epoch 99 | loss: 0.00848978 | val_loss: 0.00645714 | Time: 4761.45 ms [2020-11-24 14:18:27 main:581] : INFO : Epoch 100 | loss: 0.0060721 | val_loss: 0.005549 | Time: 4748.58 ms [2020-11-24 14:18:31 main:581] : INFO : Epoch 101 | loss: 0.00539627 | val_loss: 0.00528469 | Time: 4751.48 ms [2020-11-24 14:18:36 main:581] : INFO : Epoch 102 | loss: 0.00516672 | val_loss: 0.0050908 | Time: 4757.51 ms [2020-11-24 14:18:41 main:581] : INFO : Epoch 103 | loss: 0.00500214 | val_loss: 0.00496704 | Time: 4813.13 ms [2020-11-24 14:18:46 main:581] : INFO : Epoch 104 | loss: 0.00487145 | val_loss: 0.00485088 | Time: 4761.82 ms [2020-11-24 14:18:50 main:581] : INFO : Epoch 105 | loss: 0.00475884 | val_loss: 0.00474015 | Time: 4741.2 ms [2020-11-24 14:18:55 main:581] : INFO : Epoch 106 | loss: 0.00465351 | val_loss: 0.00464035 | Time: 4774.59 ms [2020-11-24 14:19:00 main:581] : INFO : Epoch 107 | loss: 0.00455357 | val_loss: 0.00453858 | Time: 4723.12 ms [2020-11-24 14:19:05 main:581] : INFO : Epoch 108 | loss: 0.00445602 | val_loss: 0.00443286 | Time: 4758.55 ms [2020-11-24 14:19:09 main:581] : INFO : Epoch 109 | loss: 0.00436286 | val_loss: 0.00433684 | Time: 4759.88 ms [2020-11-24 14:19:14 main:581] : INFO : Epoch 110 | loss: 0.00427006 | val_loss: 0.00424121 | Time: 4761.35 ms [2020-11-24 14:19:19 main:581] : INFO : Epoch 111 | loss: 0.00417775 | val_loss: 0.00414489 | Time: 4738.91 ms [2020-11-24 14:19:24 main:581] : INFO : Epoch 112 | loss: 0.00408751 | val_loss: 0.00405323 | Time: 4715.92 ms [2020-11-24 14:19:28 main:581] : INFO : Epoch 113 | loss: 0.00399458 | val_loss: 0.00396501 | Time: 4745.48 ms [2020-11-24 14:19:33 main:581] : INFO : Epoch 114 | loss: 0.0039052 | val_loss: 0.00387241 | Time: 4720.37 ms [2020-11-24 14:19:38 main:581] : INFO : Epoch 115 | loss: 0.0038167 | val_loss: 0.00378471 | Time: 4726.35 ms [2020-11-24 14:19:43 main:581] : INFO : Epoch 116 | loss: 0.00372598 | val_loss: 0.00369277 | Time: 4735.85 ms [2020-11-24 14:19:47 main:581] : INFO : Epoch 117 | loss: 0.00363597 | val_loss: 0.00360564 | Time: 4784.32 ms [2020-11-24 14:19:52 main:581] : INFO : Epoch 118 | loss: 0.00366978 | val_loss: 0.00389342 | Time: 4749.06 ms [2020-11-24 14:19:57 main:581] : INFO : Epoch 119 | loss: 0.0035307 | val_loss: 0.00344403 | Time: 4736.34 ms [2020-11-24 14:20:01 main:581] : INFO : Epoch 120 | loss: 0.0033823 | val_loss: 0.00334872 | Time: 4718.01 ms [2020-11-24 14:20:06 main:581] : INFO : Epoch 121 | loss: 0.00328831 | val_loss: 0.00325753 | Time: 4796.21 ms [2020-11-24 14:20:11 main:581] : INFO : Epoch 122 | loss: 0.00320095 | val_loss: 0.00316921 | Time: 4961.21 ms [2020-11-24 14:20:16 main:581] : INFO : Epoch 123 | loss: 0.00311365 | val_loss: 0.0030809 | Time: 5137.76 ms [2020-11-24 14:20:21 main:581] : INFO : Epoch 124 | loss: 0.00302665 | val_loss: 0.00299474 | Time: 4790.58 ms [2020-11-24 14:20:26 main:581] : INFO : Epoch 125 | loss: 0.00293723 | val_loss: 0.00290092 | Time: 4775.72 ms [2020-11-24 14:20:31 main:581] : INFO : Epoch 126 | loss: 0.00284674 | val_loss: 0.00280978 | Time: 4774.88 ms [2020-11-24 14:20:36 main:581] : INFO : Epoch 127 | loss: 0.00276091 | val_loss: 0.00272321 | Time: 4794.75 ms [2020-11-24 14:20:40 main:581] : INFO : Epoch 128 | loss: 0.00267322 | val_loss: 0.00263562 | Time: 4762.37 ms [2020-11-24 14:20:45 main:581] : INFO : Epoch 129 | loss: 0.0025876 | val_loss: 0.00255001 | Time: 4775.98 ms [2020-11-24 14:20:50 main:581] : INFO : Epoch 130 | loss: 0.00250393 | val_loss: 0.00246794 | Time: 4790.55 ms [2020-11-24 14:20:55 main:581] : INFO : Epoch 131 | loss: 0.00242085 | val_loss: 0.00238263 | Time: 4799.17 ms [2020-11-24 14:20:59 main:581] : INFO : Epoch 132 | loss: 0.00233864 | val_loss: 0.00229968 | Time: 4740.11 ms [2020-11-24 14:21:04 main:581] : INFO : Epoch 133 | loss: 0.00225782 | val_loss: 0.00222108 | Time: 4710.7 ms [2020-11-24 14:21:09 main:581] : INFO : Epoch 134 | loss: 0.0021772 | val_loss: 0.00213732 | Time: 4740.28 ms [2020-11-24 14:21:14 main:581] : INFO : Epoch 135 | loss: 0.00209787 | val_loss: 0.00205924 | Time: 4805.58 ms [2020-11-24 14:21:18 main:581] : INFO : Epoch 136 | loss: 0.00201837 | val_loss: 0.00197823 | Time: 4829.77 ms [2020-11-24 14:21:23 main:581] : INFO : Epoch 137 | loss: 0.00194024 | val_loss: 0.00190013 | Time: 4811.71 ms [2020-11-24 14:21:28 main:581] : INFO : Epoch 138 | loss: 0.00187263 | val_loss: 0.00182851 | Time: 4778.69 ms [2020-11-24 14:21:33 main:581] : INFO : Epoch 139 | loss: 0.00179071 | val_loss: 0.00175291 | Time: 4791.4 ms [2020-11-24 14:21:38 main:581] : INFO : Epoch 140 | loss: 0.00171933 | val_loss: 0.00168214 | Time: 4780.4 ms [2020-11-24 14:21:42 main:581] : INFO : Epoch 141 | loss: 0.00164828 | val_loss: 0.00161078 | Time: 4757.09 ms [2020-11-24 14:21:47 main:581] : INFO : Epoch 142 | loss: 0.00157751 | val_loss: 0.00154357 | Time: 4803.42 ms [2020-11-24 14:21:52 main:581] : INFO : Epoch 143 | loss: 0.00150939 | val_loss: 0.00147763 | Time: 4775.26 ms [2020-11-24 14:21:57 main:581] : INFO : Epoch 144 | loss: 0.00144692 | val_loss: 0.00141456 | Time: 4777.63 ms [2020-11-24 14:22:02 main:581] : INFO : Epoch 145 | loss: 0.00138461 | val_loss: 0.00135683 | Time: 4791.24 ms [2020-11-24 14:22:07 main:581] : INFO : Epoch 146 | loss: 0.00132637 | val_loss: 0.00129891 | Time: 4969.44 ms [2020-11-24 14:22:11 main:581] : INFO : Epoch 147 | loss: 0.00127035 | val_loss: 0.00124319 | Time: 4744.49 ms [2020-11-24 14:22:16 main:581] : INFO : Epoch 148 | loss: 0.00121711 | val_loss: 0.00119226 | Time: 4751 ms [2020-11-24 14:22:21 main:581] : INFO : Epoch 149 | loss: 0.00116414 | val_loss: 0.00114222 | Time: 4810.36 ms [2020-11-24 14:22:26 main:581] : INFO : Epoch 150 | loss: 0.0011144 | val_loss: 0.00109113 | Time: 4766.32 ms [2020-11-24 14:22:30 main:581] : INFO : Epoch 151 | loss: 0.00106687 | val_loss: 0.00104508 | Time: 4736.7 ms [2020-11-24 14:22:35 main:581] : INFO : Epoch 152 | loss: 0.00102124 | val_loss: 0.00100086 | Time: 4708.59 ms [2020-11-24 14:22:40 main:581] : INFO : Epoch 153 | loss: 0.000977777 | val_loss: 0.000958192 | Time: 4728.83 ms [2020-11-24 14:22:45 main:581] : INFO : Epoch 154 | loss: 0.000936813 | val_loss: 0.000917771 | Time: 4777.74 ms [2020-11-24 14:22:49 main:581] : INFO : Epoch 155 | loss: 0.000896143 | val_loss: 0.000876051 | Time: 4760.73 ms [2020-11-24 14:22:54 main:581] : INFO : Epoch 156 | loss: 0.000857864 | val_loss: 0.000841194 | Time: 4883.72 ms [2020-11-24 14:22:59 main:581] : INFO : Epoch 157 | loss: 0.00082173 | val_loss: 0.000804091 | Time: 4761.55 ms [2020-11-24 14:23:04 main:581] : INFO : Epoch 158 | loss: 0.000786652 | val_loss: 0.000768225 | Time: 4738.01 ms [2020-11-24 14:23:08 main:581] : INFO : Epoch 159 | loss: 0.00075352 | val_loss: 0.000737213 | Time: 4743.51 ms [2020-11-24 14:23:13 main:581] : INFO : Epoch 160 | loss: 0.000721579 | val_loss: 0.000705242 | Time: 4748.87 ms [2020-11-24 14:23:18 main:581] : INFO : Epoch 161 | loss: 0.000691364 | val_loss: 0.000677602 | Time: 4847.16 ms [2020-11-24 14:23:23 main:581] : INFO : Epoch 162 | loss: 0.000662455 | val_loss: 0.00064771 | Time: 4828.29 ms [2020-11-24 14:23:28 main:581] : INFO : Epoch 163 | loss: 0.00063494 | val_loss: 0.000621205 | Time: 4795.43 ms [2020-11-24 14:23:32 main:581] : INFO : Epoch 164 | loss: 0.00060812 | val_loss: 0.00059634 | Time: 4775.28 ms [2020-11-24 14:23:37 main:581] : INFO : Epoch 165 | loss: 0.000583611 | val_loss: 0.00057122 | Time: 4759.44 ms [2020-11-24 14:23:42 main:581] : INFO : Epoch 166 | loss: 0.000559529 | val_loss: 0.000547914 | Time: 4772.8 ms [2020-11-24 14:23:47 main:581] : INFO : Epoch 167 | loss: 0.000537101 | val_loss: 0.000527029 | Time: 4751.82 ms [2020-11-24 14:23:51 main:581] : INFO : Epoch 168 | loss: 0.000515664 | val_loss: 0.00050587 | Time: 4780.2 ms [2020-11-24 14:23:56 main:581] : INFO : Epoch 169 | loss: 0.000495677 | val_loss: 0.000485213 | Time: 4814.21 ms [2020-11-24 14:24:01 main:581] : INFO : Epoch 170 | loss: 0.000475601 | val_loss: 0.000466454 | Time: 4819.58 ms [2020-11-24 14:24:06 main:581] : INFO : Epoch 171 | loss: 0.000457524 | val_loss: 0.000447832 | Time: 4812.08 ms [2020-11-24 14:24:11 main:581] : INFO : Epoch 172 | loss: 0.000439497 | val_loss: 0.000430944 | Time: 4804.97 ms [2020-11-24 14:24:15 main:581] : INFO : Epoch 173 | loss: 0.000422946 | val_loss: 0.000416254 | Time: 4718.27 ms [2020-11-24 14:24:20 main:581] : INFO : Epoch 174 | loss: 0.000407159 | val_loss: 0.000399809 | Time: 4781.15 ms [2020-11-24 14:24:25 main:581] : INFO : Epoch 175 | loss: 0.000392106 | val_loss: 0.000384525 | Time: 4748.26 ms [2020-11-24 14:24:30 main:581] : INFO : Epoch 176 | loss: 0.000377642 | val_loss: 0.00037105 | Time: 4768.09 ms [2020-11-24 14:24:35 main:581] : INFO : Epoch 177 | loss: 0.000364772 | val_loss: 0.00036373 | Time: 4970.98 ms [2020-11-24 14:24:39 main:581] : INFO : Epoch 178 | loss: 0.000351935 | val_loss: 0.000344762 | Time: 4727.13 ms [2020-11-24 14:24:44 main:581] : INFO : Epoch 179 | loss: 0.000339189 | val_loss: 0.000336039 | Time: 4763.84 ms [2020-11-24 14:24:49 main:581] : INFO : Epoch 180 | loss: 0.000327481 | val_loss: 0.000323421 | Time: 4731.67 ms [2020-11-24 14:24:54 main:581] : INFO : Epoch 181 | loss: 0.000316269 | val_loss: 0.000312044 | Time: 4708.65 ms [2020-11-24 14:24:58 main:581] : INFO : Epoch 182 | loss: 0.000306081 | val_loss: 0.000301944 | Time: 4743.3 ms [2020-11-24 14:25:03 main:581] : INFO : Epoch 183 | loss: 0.000297413 | val_loss: 0.000292675 | Time: 4789.85 ms [2020-11-24 14:25:08 main:581] : INFO : Epoch 184 | loss: 0.000286486 | val_loss: 0.000283374 | Time: 4737.92 ms [2020-11-24 14:25:13 main:581] : INFO : Epoch 185 | loss: 0.000277748 | val_loss: 0.000274955 | Time: 4777.19 ms [2020-11-24 14:25:17 main:581] : INFO : Epoch 186 | loss: 0.000269224 | val_loss: 0.0002652 | Time: 4774.53 ms [2020-11-24 14:25:22 main:581] : INFO : Epoch 187 | loss: 0.000260843 | val_loss: 0.000257185 | Time: 4774.54 ms [2020-11-24 14:25:27 main:581] : INFO : Epoch 188 | loss: 0.000253109 | val_loss: 0.000250715 | Time: 4782.6 ms [2020-11-24 14:25:32 main:581] : INFO : Epoch 189 | loss: 0.000246254 | val_loss: 0.000246182 | Time: 4764.36 ms [2020-11-24 14:25:37 main:581] : INFO : Epoch 190 | loss: 0.000239159 | val_loss: 0.000237293 | Time: 4813.72 ms [2020-11-24 14:25:41 main:581] : INFO : Epoch 191 | loss: 0.000233031 | val_loss: 0.000231128 | Time: 4817.46 ms [2020-11-24 14:25:46 main:581] : INFO : Epoch 192 | loss: 0.000225994 | val_loss: 0.000224956 | Time: 4748.91 ms [2020-11-24 14:25:46 main:604] : INFO : Saving trained model to model-final.pt, val_loss 0.000224956 [2020-11-24 14:25:46 main:610] : INFO : Saving end state to config to file [2020-11-24 14:25:46 main:615] : INFO : Success, exiting.. 14:25:46 (3314617): 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)