Task 3076332
| Name | rand_automata_0025-1606117988-22454-101_0 |
| Workunit | 1404391 |
| Created | 27 Nov 2020, 0:03:12 UTC |
| Sent | 27 Nov 2020, 0:12:55 UTC |
| Report deadline | 4 Dec 2020, 0:12:55 UTC |
| Received | 27 Nov 2020, 0:23:21 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 4754 |
| Run time | 9 min 57 sec |
| CPU time | 9 min 53 sec |
| Validate state | Valid |
| Credit | 959.40 |
| Device peak FLOPS | 3,339.24 GFLOPS |
| Application version | Machine Learning Dataset Generator (test) v9.80 (cuda10200) x86_64-pc-linux-gnu |
| Peak working set size | 2.18 GB |
| Peak swap size | 9.98 GB |
| Peak disk usage | 2.98 GB |
Stderr output
<core_client_version>7.14.2</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) [2020-11-26 19:13:12 main:442] : INFO : Set logging level to 1 [2020-11-26 19:13:12 main:448] : INFO : Running in BOINC Client mode [2020-11-26 19:13:12 main:451] : INFO : Resolving all filenames [2020-11-26 19:13:12 main:459] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-train-val-dataset.hdf5 (exists = 1) [2020-11-26 19:13:12 main:459] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-1606117988-22454-101_0_r910890993_1 (exists = 0) [2020-11-26 19:13:12 main:459] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-1606117988-22454-101_0_r910890993_0 (exists = 0) [2020-11-26 19:13:12 main:459] : INFO : Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-1606117988-22454-101 (exists = 1) [2020-11-26 19:13:12 main:459] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-26 19:13:12 main:479] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-train-val-dataset.hdf5 [2020-11-26 19:13:12 main:481] : INFO : Configuration: [2020-11-26 19:13:12 main:482] : INFO : Model type: LSTM [2020-11-26 19:13:12 main:483] : INFO : Validation Loss Threshold: 0.0001 [2020-11-26 19:13:12 main:484] : INFO : Max Epochs: 192 [2020-11-26 19:13:12 main:485] : INFO : Batch Size: 32 [2020-11-26 19:13:12 main:486] : INFO : Learning Rate: 0.001 [2020-11-26 19:13:12 main:487] : INFO : Patience: 10 [2020-11-26 19:13:12 main:488] : INFO : Hidden Width: 64 [2020-11-26 19:13:12 main:489] : INFO : # Recurrent Layers: 4 [2020-11-26 19:13:12 main:490] : INFO : # Backend Layers: 2 [2020-11-26 19:13:12 main:491] : INFO : # Threads: 1 [2020-11-26 19:13:12 main:493] : INFO : Preparing Dataset [2020-11-26 19:13:12 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-train-val-dataset.hdf5 into memory [2020-11-26 19:13:12 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-train-val-dataset.hdf5 into memory [2020-11-26 19:13:15 load:106] : INFO : Successfully loaded dataset of 4096 examples into memory. [2020-11-26 19:13:15 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-train-val-dataset.hdf5 into memory [2020-11-26 19:13:15 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-train-val-dataset.hdf5 into memory [2020-11-26 19:13:15 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-26 19:13:15 main:501] : INFO : Creating Model [2020-11-26 19:13:15 main:514] : INFO : Preparing config file [2020-11-26 19:13:15 main:526] : INFO : Creating new config file [2020-11-26 19:13:15 main:545] : INFO : This is a continuation WU, loading previous network [2020-11-26 19:13:15 main:566] : INFO : Loading DataLoader into Memory [2020-11-26 19:13:15 main:569] : INFO : Starting Training [2020-11-26 19:13:20 main:581] : INFO : Epoch 1 | loss: 0.0493251 | val_loss: 0.0495319 | Time: 4663.71 ms [2020-11-26 19:13:23 main:581] : INFO : Epoch 2 | loss: 0.049002 | val_loss: 0.0491855 | Time: 3025.39 ms [2020-11-26 19:13:26 main:581] : INFO : Epoch 3 | loss: 0.0491488 | val_loss: 0.0495831 | Time: 3174.88 ms [2020-11-26 19:13:29 main:581] : INFO : Epoch 4 | loss: 0.0491701 | val_loss: 0.049388 | Time: 3091.93 ms [2020-11-26 19:13:32 main:581] : INFO : Epoch 5 | loss: 0.0488175 | val_loss: 0.0491049 | Time: 3082 ms [2020-11-26 19:13:35 main:581] : INFO : Epoch 6 | loss: 0.0485347 | val_loss: 0.0487618 | Time: 3013.35 ms [2020-11-26 19:13:38 main:581] : INFO : Epoch 7 | loss: 0.0484421 | val_loss: 0.0493355 | Time: 3080.77 ms [2020-11-26 19:13:41 main:581] : INFO : Epoch 8 | loss: 0.0489143 | val_loss: 0.049328 | Time: 3048.84 ms [2020-11-26 19:13:44 main:581] : INFO : Epoch 9 | loss: 0.0490587 | val_loss: 0.049776 | Time: 2991.23 ms [2020-11-26 19:13:47 main:581] : INFO : Epoch 10 | loss: 0.0492289 | val_loss: 0.0497463 | Time: 3106.31 ms [2020-11-26 19:13:50 main:581] : INFO : Epoch 11 | loss: 0.0493339 | val_loss: 0.05033 | Time: 3146.91 ms [2020-11-26 19:13:53 main:581] : INFO : Epoch 12 | loss: 0.0498905 | val_loss: 0.0501162 | Time: 3003.69 ms [2020-11-26 19:13:56 main:581] : INFO : Epoch 13 | loss: 0.0496692 | val_loss: 0.0499338 | Time: 3035.23 ms [2020-11-26 19:13:59 main:581] : INFO : Epoch 14 | loss: 0.0494555 | val_loss: 0.0497137 | Time: 3017.34 ms [2020-11-26 19:14:03 main:581] : INFO : Epoch 15 | loss: 0.0492012 | val_loss: 0.0495591 | Time: 3085.92 ms [2020-11-26 19:14:06 main:581] : INFO : Epoch 16 | loss: 0.0489874 | val_loss: 0.0493564 | Time: 3087.42 ms [2020-11-26 19:14:09 main:581] : INFO : Epoch 17 | loss: 0.0487935 | val_loss: 0.0492552 | Time: 3047.94 ms [2020-11-26 19:14:12 main:581] : INFO : Epoch 18 | loss: 0.0488602 | val_loss: 0.0492722 | Time: 3023.97 ms [2020-11-26 19:14:15 main:581] : INFO : Epoch 19 | loss: 0.04914 | val_loss: 0.0497934 | Time: 3193.37 ms [2020-11-26 19:14:18 main:581] : INFO : Epoch 20 | loss: 0.0498606 | val_loss: 0.0511082 | Time: 3070.86 ms [2020-11-26 19:14:21 main:581] : INFO : Epoch 21 | loss: 0.0507815 | val_loss: 0.0508203 | Time: 2974.86 ms [2020-11-26 19:14:24 main:581] : INFO : Epoch 22 | loss: 0.0504972 | val_loss: 0.0509815 | Time: 2990.98 ms [2020-11-26 19:14:27 main:581] : INFO : Epoch 23 | loss: 0.0508506 | val_loss: 0.0511412 | Time: 3010.18 ms [2020-11-26 19:14:30 main:581] : INFO : Epoch 24 | loss: 0.0506419 | val_loss: 0.0509793 | Time: 3025.58 ms [2020-11-26 19:14:33 main:581] : INFO : Epoch 25 | loss: 0.0505483 | val_loss: 0.0507833 | Time: 3019.93 ms [2020-11-26 19:14:36 main:581] : INFO : Epoch 26 | loss: 0.0502621 | val_loss: 0.0505196 | Time: 3258.87 ms [2020-11-26 19:14:39 main:581] : INFO : Epoch 27 | loss: 0.0501342 | val_loss: 0.0503038 | Time: 3153.94 ms [2020-11-26 19:14:42 main:581] : INFO : Epoch 28 | loss: 0.0502767 | val_loss: 0.0506016 | Time: 3123.02 ms [2020-11-26 19:14:46 main:581] : INFO : Epoch 29 | loss: 0.0504782 | val_loss: 0.0507528 | Time: 3160.95 ms [2020-11-26 19:14:49 main:581] : INFO : Epoch 30 | loss: 0.0511852 | val_loss: 0.0522007 | Time: 3148.73 ms [2020-11-26 19:14:52 main:581] : INFO : Epoch 31 | loss: 0.052132 | val_loss: 0.0525465 | Time: 2965.24 ms [2020-11-26 19:14:55 main:581] : INFO : Epoch 32 | loss: 0.0522775 | val_loss: 0.0523604 | Time: 3041.6 ms [2020-11-26 19:14:58 main:581] : INFO : Epoch 33 | loss: 0.0520205 | val_loss: 0.0521822 | Time: 2987.63 ms [2020-11-26 19:15:01 main:581] : INFO : Epoch 34 | loss: 0.052313 | val_loss: 0.0529464 | Time: 3020.24 ms [2020-11-26 19:15:04 main:581] : INFO : Epoch 35 | loss: 0.0531231 | val_loss: 0.0538887 | Time: 3010.07 ms [2020-11-26 19:15:07 main:581] : INFO : Epoch 36 | loss: 0.0536932 | val_loss: 0.0540366 | Time: 2997.31 ms [2020-11-26 19:15:10 main:581] : INFO : Epoch 37 | loss: 0.0540584 | val_loss: 0.054362 | Time: 3006.18 ms [2020-11-26 19:15:13 main:581] : INFO : Epoch 38 | loss: 0.0545147 | val_loss: 0.0554999 | Time: 2980.28 ms [2020-11-26 19:15:16 main:581] : INFO : Epoch 39 | loss: 0.0554149 | val_loss: 0.0555931 | Time: 3143.75 ms [2020-11-26 19:15:19 main:581] : INFO : Epoch 40 | loss: 0.0554607 | val_loss: 0.0557645 | Time: 3133.58 ms [2020-11-26 19:15:22 main:581] : INFO : Epoch 41 | loss: 0.0555893 | val_loss: 0.0557326 | Time: 3054.4 ms [2020-11-26 19:15:25 main:581] : INFO : Epoch 42 | loss: 0.0557187 | val_loss: 0.0560142 | Time: 3000.78 ms [2020-11-26 19:15:28 main:581] : INFO : Epoch 43 | loss: 0.0556818 | val_loss: 0.0557259 | Time: 2988.17 ms [2020-11-26 19:15:31 main:581] : INFO : Epoch 44 | loss: 0.0556322 | val_loss: 0.055764 | Time: 3139.55 ms [2020-11-26 19:15:34 main:581] : INFO : Epoch 45 | loss: 0.0556638 | val_loss: 0.0557982 | Time: 2982.37 ms [2020-11-26 19:15:37 main:581] : INFO : Epoch 46 | loss: 0.0556988 | val_loss: 0.0558467 | Time: 3019.71 ms [2020-11-26 19:15:40 main:581] : INFO : Epoch 47 | loss: 0.0557398 | val_loss: 0.0558767 | Time: 3023.17 ms [2020-11-26 19:15:43 main:581] : INFO : Epoch 48 | loss: 0.0558705 | val_loss: 0.0559846 | Time: 3008.74 ms [2020-11-26 19:15:46 main:581] : INFO : Epoch 49 | loss: 0.0560015 | val_loss: 0.0561122 | Time: 3008.35 ms [2020-11-26 19:15:49 main:581] : INFO : Epoch 50 | loss: 0.0560277 | val_loss: 0.0559304 | Time: 3105.39 ms [2020-11-26 19:15:52 main:581] : INFO : Epoch 51 | loss: 0.0559007 | val_loss: 0.05591 | Time: 3048.67 ms [2020-11-26 19:15:55 main:581] : INFO : Epoch 52 | loss: 0.0557941 | val_loss: 0.0557357 | Time: 2980.78 ms [2020-11-26 19:15:58 main:581] : INFO : Epoch 53 | loss: 0.05575 | val_loss: 0.0555631 | Time: 2988.44 ms [2020-11-26 19:16:02 main:581] : INFO : Epoch 54 | loss: 0.0556238 | val_loss: 0.0555157 | Time: 3189.33 ms [2020-11-26 19:16:05 main:581] : INFO : Epoch 55 | loss: 0.0556206 | val_loss: 0.0557434 | Time: 3032.15 ms [2020-11-26 19:16:08 main:581] : INFO : Epoch 56 | loss: 0.0557831 | val_loss: 0.0557533 | Time: 3005.42 ms [2020-11-26 19:16:11 main:581] : INFO : Epoch 57 | loss: 0.0557666 | val_loss: 0.0557858 | Time: 3000.96 ms [2020-11-26 19:16:14 main:581] : INFO : Epoch 58 | loss: 0.0557903 | val_loss: 0.0557708 | Time: 3032.6 ms [2020-11-26 19:16:17 main:581] : INFO : Epoch 59 | loss: 0.0557819 | val_loss: 0.0557242 | Time: 3054.67 ms [2020-11-26 19:16:20 main:581] : INFO : Epoch 60 | loss: 0.0558859 | val_loss: 0.0562878 | Time: 3049.86 ms [2020-11-26 19:16:23 main:581] : INFO : Epoch 61 | loss: 0.0563309 | val_loss: 0.0562947 | Time: 3147.06 ms [2020-11-26 19:16:26 main:581] : INFO : Epoch 62 | loss: 0.0563447 | val_loss: 0.0562859 | Time: 3012.53 ms [2020-11-26 19:16:29 main:581] : INFO : Epoch 63 | loss: 0.0563779 | val_loss: 0.0564466 | Time: 3036.39 ms [2020-11-26 19:16:32 main:581] : INFO : Epoch 64 | loss: 0.0564076 | val_loss: 0.0564638 | Time: 2995.5 ms [2020-11-26 19:16:35 main:581] : INFO : Epoch 65 | loss: 0.0564301 | val_loss: 0.0564424 | Time: 3034.95 ms [2020-11-26 19:16:38 main:581] : INFO : Epoch 66 | loss: 0.0564314 | val_loss: 0.0564433 | Time: 3088.87 ms [2020-11-26 19:16:41 main:581] : INFO : Epoch 67 | loss: 0.0564643 | val_loss: 0.0565079 | Time: 3091.12 ms [2020-11-26 19:16:44 main:581] : INFO : Epoch 68 | loss: 0.0565008 | val_loss: 0.056512 | Time: 3161.27 ms [2020-11-26 19:16:47 main:581] : INFO : Epoch 69 | loss: 0.0566796 | val_loss: 0.0567188 | Time: 3002.9 ms [2020-11-26 19:16:50 main:581] : INFO : Epoch 70 | loss: 0.0567243 | val_loss: 0.0566839 | Time: 2991.64 ms [2020-11-26 19:16:53 main:581] : INFO : Epoch 71 | loss: 0.0567335 | val_loss: 0.0566663 | Time: 3103.68 ms [2020-11-26 19:16:57 main:581] : INFO : Epoch 72 | loss: 0.0566668 | val_loss: 0.0566714 | Time: 3069.39 ms [2020-11-26 19:17:00 main:581] : INFO : Epoch 73 | loss: 0.056683 | val_loss: 0.0566622 | Time: 3201.12 ms [2020-11-26 19:17:03 main:581] : INFO : Epoch 74 | loss: 0.0566812 | val_loss: 0.0566769 | Time: 3221.35 ms [2020-11-26 19:17:06 main:581] : INFO : Epoch 75 | loss: 0.0566945 | val_loss: 0.0566652 | Time: 3009.86 ms [2020-11-26 19:17:09 main:581] : INFO : Epoch 76 | loss: 0.0566738 | val_loss: 0.0566402 | Time: 3142.11 ms [2020-11-26 19:17:12 main:581] : INFO : Epoch 77 | loss: 0.0566621 | val_loss: 0.0566344 | Time: 2966.74 ms [2020-11-26 19:17:15 main:581] : INFO : Epoch 78 | loss: 0.0566889 | val_loss: 0.0567018 | Time: 2979.36 ms [2020-11-26 19:17:18 main:581] : INFO : Epoch 79 | loss: 0.0567249 | val_loss: 0.0566827 | Time: 2988.23 ms [2020-11-26 19:17:21 main:581] : INFO : Epoch 80 | loss: 0.0567118 | val_loss: 0.0567127 | Time: 3156.74 ms [2020-11-26 19:17:24 main:581] : INFO : Epoch 81 | loss: 0.0566996 | val_loss: 0.0566964 | Time: 2983.05 ms [2020-11-26 19:17:27 main:581] : INFO : Epoch 82 | loss: 0.0566883 | val_loss: 0.0567062 | Time: 3089.55 ms [2020-11-26 19:17:30 main:581] : INFO : Epoch 83 | loss: 0.0567287 | val_loss: 0.0567197 | Time: 3200.05 ms [2020-11-26 19:17:34 main:581] : INFO : Epoch 84 | loss: 0.0567805 | val_loss: 0.0567544 | Time: 3107.34 ms [2020-11-26 19:17:37 main:581] : INFO : Epoch 85 | loss: 0.0568098 | val_loss: 0.0567701 | Time: 3092.22 ms [2020-11-26 19:17:40 main:581] : INFO : Epoch 86 | loss: 0.0568504 | val_loss: 0.0570128 | Time: 3012.23 ms [2020-11-26 19:17:43 main:581] : INFO : Epoch 87 | loss: 0.0570748 | val_loss: 0.0569616 | Time: 3104.86 ms [2020-11-26 19:17:46 main:581] : INFO : Epoch 88 | loss: 0.0569944 | val_loss: 0.0569835 | Time: 3044.39 ms [2020-11-26 19:17:49 main:581] : INFO : Epoch 89 | loss: 0.056938 | val_loss: 0.0569711 | Time: 2995.36 ms [2020-11-26 19:17:52 main:581] : INFO : Epoch 90 | loss: 0.0569829 | val_loss: 0.0570202 | Time: 3019.18 ms [2020-11-26 19:17:55 main:581] : INFO : Epoch 91 | loss: 0.0569692 | val_loss: 0.0570565 | Time: 3170.5 ms [2020-11-26 19:17:58 main:581] : INFO : Epoch 92 | loss: 0.0569494 | val_loss: 0.0570224 | Time: 2974.66 ms [2020-11-26 19:18:01 main:581] : INFO : Epoch 93 | loss: 0.0569458 | val_loss: 0.0569769 | Time: 2967.47 ms [2020-11-26 19:18:04 main:581] : INFO : Epoch 94 | loss: 0.0570247 | val_loss: 0.0572526 | Time: 3064.44 ms [2020-11-26 19:18:07 main:581] : INFO : Epoch 95 | loss: 0.0571495 | val_loss: 0.0571319 | Time: 2998.18 ms [2020-11-26 19:18:10 main:581] : INFO : Epoch 96 | loss: 0.0570103 | val_loss: 0.0571202 | Time: 3058.09 ms [2020-11-26 19:18:13 main:581] : INFO : Epoch 97 | loss: 0.0570058 | val_loss: 0.0571276 | Time: 3025.03 ms [2020-11-26 19:18:16 main:581] : INFO : Epoch 98 | loss: 0.0570155 | val_loss: 0.0571351 | Time: 3039.31 ms [2020-11-26 19:18:19 main:581] : INFO : Epoch 99 | loss: 0.057007 | val_loss: 0.057123 | Time: 2976.88 ms [2020-11-26 19:18:22 main:581] : INFO : Epoch 100 | loss: 0.0570113 | val_loss: 0.0570912 | Time: 2975.58 ms [2020-11-26 19:18:25 main:581] : INFO : Epoch 101 | loss: 0.0570442 | val_loss: 0.0571028 | Time: 3039.47 ms [2020-11-26 19:18:28 main:581] : INFO : Epoch 102 | loss: 0.057059 | val_loss: 0.0571205 | Time: 3118.53 ms [2020-11-26 19:18:32 main:581] : INFO : Epoch 103 | loss: 0.0571554 | val_loss: 0.0572931 | Time: 3226.61 ms [2020-11-26 19:18:35 main:581] : INFO : Epoch 104 | loss: 0.0572284 | val_loss: 0.0573284 | Time: 3107.47 ms [2020-11-26 19:18:38 main:581] : INFO : Epoch 105 | loss: 0.0572855 | val_loss: 0.0573368 | Time: 3120.99 ms [2020-11-26 19:18:41 main:581] : INFO : Epoch 106 | loss: 0.0572827 | val_loss: 0.0573753 | Time: 2997.4 ms [2020-11-26 19:18:44 main:581] : INFO : Epoch 107 | loss: 0.0573433 | val_loss: 0.0573506 | Time: 3111.8 ms [2020-11-26 19:18:47 main:581] : INFO : Epoch 108 | loss: 0.0573637 | val_loss: 0.0573177 | Time: 3106.53 ms [2020-11-26 19:18:50 main:581] : INFO : Epoch 109 | loss: 0.0573321 | val_loss: 0.0573219 | Time: 3087.87 ms [2020-11-26 19:18:53 main:581] : INFO : Epoch 110 | loss: 0.0573813 | val_loss: 0.0574789 | Time: 3110.46 ms [2020-11-26 19:18:56 main:581] : INFO : Epoch 111 | loss: 0.0575518 | val_loss: 0.0576013 | Time: 2959.9 ms [2020-11-26 19:18:59 main:581] : INFO : Epoch 112 | loss: 0.0576995 | val_loss: 0.0576465 | Time: 3059.99 ms [2020-11-26 19:19:02 main:581] : INFO : Epoch 113 | loss: 0.0577191 | val_loss: 0.0577258 | Time: 3073.99 ms [2020-11-26 19:19:05 main:581] : INFO : Epoch 114 | loss: 0.0577958 | val_loss: 0.057734 | Time: 2982.11 ms [2020-11-26 19:19:08 main:581] : INFO : Epoch 115 | loss: 0.05775 | val_loss: 0.057713 | Time: 2978.22 ms [2020-11-26 19:19:11 main:581] : INFO : Epoch 116 | loss: 0.0577147 | val_loss: 0.0576897 | Time: 3034.04 ms [2020-11-26 19:19:14 main:581] : INFO : Epoch 117 | loss: 0.0577131 | val_loss: 0.0577266 | Time: 3196.65 ms [2020-11-26 19:19:17 main:581] : INFO : Epoch 118 | loss: 0.0577154 | val_loss: 0.0577311 | Time: 3002.1 ms [2020-11-26 19:19:20 main:581] : INFO : Epoch 119 | loss: 0.057751 | val_loss: 0.057949 | Time: 3015.45 ms [2020-11-26 19:19:23 main:581] : INFO : Epoch 120 | loss: 0.0579483 | val_loss: 0.0579629 | Time: 2996.86 ms [2020-11-26 19:19:27 main:581] : INFO : Epoch 121 | loss: 0.0580029 | val_loss: 0.0581276 | Time: 3055.98 ms [2020-11-26 19:19:30 main:581] : INFO : Epoch 122 | loss: 0.0582304 | val_loss: 0.058039 | Time: 3064.72 ms [2020-11-26 19:19:33 main:581] : INFO : Epoch 123 | loss: 0.0580976 | val_loss: 0.0580197 | Time: 3108.42 ms [2020-11-26 19:19:36 main:581] : INFO : Epoch 124 | loss: 0.0580832 | val_loss: 0.0580472 | Time: 3008.42 ms [2020-11-26 19:19:39 main:581] : INFO : Epoch 125 | loss: 0.0580613 | val_loss: 0.0579256 | Time: 2996.77 ms [2020-11-26 19:19:42 main:581] : INFO : Epoch 126 | loss: 0.0579683 | val_loss: 0.0579182 | Time: 3018.1 ms [2020-11-26 19:19:45 main:581] : INFO : Epoch 127 | loss: 0.0579532 | val_loss: 0.0579311 | Time: 3036.59 ms [2020-11-26 19:19:48 main:581] : INFO : Epoch 128 | loss: 0.0579459 | val_loss: 0.0578965 | Time: 3080.19 ms [2020-11-26 19:19:51 main:581] : INFO : Epoch 129 | loss: 0.0579515 | val_loss: 0.0579738 | Time: 3101.99 ms [2020-11-26 19:19:54 main:581] : INFO : Epoch 130 | loss: 0.0579828 | val_loss: 0.0579743 | Time: 3002.41 ms [2020-11-26 19:19:57 main:581] : INFO : Epoch 131 | loss: 0.058027 | val_loss: 0.0580449 | Time: 3089.53 ms [2020-11-26 19:20:00 main:581] : INFO : Epoch 132 | loss: 0.0581374 | val_loss: 0.0580487 | Time: 3191.11 ms [2020-11-26 19:20:03 main:581] : INFO : Epoch 133 | loss: 0.0581391 | val_loss: 0.0580333 | Time: 3105.52 ms [2020-11-26 19:20:06 main:581] : INFO : Epoch 134 | loss: 0.0581459 | val_loss: 0.0580247 | Time: 3010.82 ms [2020-11-26 19:20:09 main:581] : INFO : Epoch 135 | loss: 0.0581418 | val_loss: 0.0580445 | Time: 3056.93 ms [2020-11-26 19:20:13 main:581] : INFO : Epoch 136 | loss: 0.0581259 | val_loss: 0.058031 | Time: 3148.8 ms [2020-11-26 19:20:16 main:581] : INFO : Epoch 137 | loss: 0.0581121 | val_loss: 0.0580365 | Time: 3142.15 ms [2020-11-26 19:20:19 main:581] : INFO : Epoch 138 | loss: 0.0581107 | val_loss: 0.0580534 | Time: 3130.18 ms [2020-11-26 19:20:22 main:581] : INFO : Epoch 139 | loss: 0.0581145 | val_loss: 0.0580374 | Time: 3123.16 ms [2020-11-26 19:20:25 main:581] : INFO : Epoch 140 | loss: 0.0581104 | val_loss: 0.0580519 | Time: 3148.81 ms [2020-11-26 19:20:28 main:581] : INFO : Epoch 141 | loss: 0.0581234 | val_loss: 0.0580424 | Time: 3102.11 ms [2020-11-26 19:20:31 main:581] : INFO : Epoch 142 | loss: 0.0581365 | val_loss: 0.0580317 | Time: 3209.98 ms [2020-11-26 19:20:35 main:581] : INFO : Epoch 143 | loss: 0.058131 | val_loss: 0.0580378 | Time: 3225.71 ms [2020-11-26 19:20:38 main:581] : INFO : Epoch 144 | loss: 0.0581318 | val_loss: 0.0580216 | Time: 3113.54 ms [2020-11-26 19:20:41 main:581] : INFO : Epoch 145 | loss: 0.0581248 | val_loss: 0.0580378 | Time: 3175.41 ms [2020-11-26 19:20:44 main:581] : INFO : Epoch 146 | loss: 0.0583092 | val_loss: 0.0583084 | Time: 3210.99 ms [2020-11-26 19:20:47 main:581] : INFO : Epoch 147 | loss: 0.0583667 | val_loss: 0.0583034 | Time: 3018.77 ms [2020-11-26 19:20:50 main:581] : INFO : Epoch 148 | loss: 0.058376 | val_loss: 0.0583017 | Time: 3038.37 ms [2020-11-26 19:20:53 main:581] : INFO : Epoch 149 | loss: 0.0583817 | val_loss: 0.0583049 | Time: 3078.09 ms [2020-11-26 19:20:56 main:581] : INFO : Epoch 150 | loss: 0.0583817 | val_loss: 0.0583166 | Time: 3058.71 ms [2020-11-26 19:20:59 main:581] : INFO : Epoch 151 | loss: 0.0583821 | val_loss: 0.058327 | Time: 3027.75 ms [2020-11-26 19:21:02 main:581] : INFO : Epoch 152 | loss: 0.0583838 | val_loss: 0.0583317 | Time: 3003.83 ms [2020-11-26 19:21:05 main:581] : INFO : Epoch 153 | loss: 0.0583783 | val_loss: 0.0583495 | Time: 3054.99 ms [2020-11-26 19:21:09 main:581] : INFO : Epoch 154 | loss: 0.0583815 | val_loss: 0.0583516 | Time: 3109.87 ms [2020-11-26 19:21:12 main:581] : INFO : Epoch 155 | loss: 0.0583773 | val_loss: 0.058343 | Time: 3263.93 ms [2020-11-26 19:21:15 main:581] : INFO : Epoch 156 | loss: 0.0583917 | val_loss: 0.0584673 | Time: 3199.89 ms [2020-11-26 19:21:18 main:581] : INFO : Epoch 157 | loss: 0.0584648 | val_loss: 0.0584475 | Time: 3068.65 ms [2020-11-26 19:21:21 main:581] : INFO : Epoch 158 | loss: 0.058455 | val_loss: 0.058442 | Time: 3115.57 ms [2020-11-26 19:21:24 main:581] : INFO : Epoch 159 | loss: 0.0584527 | val_loss: 0.0584537 | Time: 3051.78 ms [2020-11-26 19:21:27 main:581] : INFO : Epoch 160 | loss: 0.0584446 | val_loss: 0.0584269 | Time: 3048.06 ms [2020-11-26 19:21:30 main:581] : INFO : Epoch 161 | loss: 0.0584479 | val_loss: 0.0584435 | Time: 3084.55 ms [2020-11-26 19:21:33 main:581] : INFO : Epoch 162 | loss: 0.0584224 | val_loss: 0.0584073 | Time: 3006.27 ms [2020-11-26 19:21:36 main:581] : INFO : Epoch 163 | loss: 0.0584158 | val_loss: 0.0584098 | Time: 2986.23 ms [2020-11-26 19:21:39 main:581] : INFO : Epoch 164 | loss: 0.0584636 | val_loss: 0.0584983 | Time: 3131.31 ms [2020-11-26 19:21:43 main:581] : INFO : Epoch 165 | loss: 0.0584724 | val_loss: 0.0585007 | Time: 3216.32 ms [2020-11-26 19:21:46 main:581] : INFO : Epoch 166 | loss: 0.0584618 | val_loss: 0.0584949 | Time: 3102.33 ms [2020-11-26 19:21:49 main:581] : INFO : Epoch 167 | loss: 0.0584559 | val_loss: 0.0584757 | Time: 3079.71 ms [2020-11-26 19:21:52 main:581] : INFO : Epoch 168 | loss: 0.0584454 | val_loss: 0.0584649 | Time: 3137.7 ms [2020-11-26 19:21:55 main:581] : INFO : Epoch 169 | loss: 0.0584798 | val_loss: 0.0585139 | Time: 2970.5 ms [2020-11-26 19:21:58 main:581] : INFO : Epoch 170 | loss: 0.0584862 | val_loss: 0.0585874 | Time: 3227.06 ms [2020-11-26 19:22:01 main:581] : INFO : Epoch 171 | loss: 0.0584803 | val_loss: 0.0584677 | Time: 3118.35 ms [2020-11-26 19:22:04 main:581] : INFO : Epoch 172 | loss: 0.0584847 | val_loss: 0.058462 | Time: 3023.09 ms [2020-11-26 19:22:07 main:581] : INFO : Epoch 173 | loss: 0.0584827 | val_loss: 0.0585171 | Time: 2917.46 ms [2020-11-26 19:22:10 main:581] : INFO : Epoch 174 | loss: 0.0585023 | val_loss: 0.0585537 | Time: 2997.49 ms [2020-11-26 19:22:14 main:581] : INFO : Epoch 175 | loss: 0.058488 | val_loss: 0.0584893 | Time: 3400.7 ms [2020-11-26 19:22:17 main:581] : INFO : Epoch 176 | loss: 0.058479 | val_loss: 0.0584327 | Time: 3267.39 ms [2020-11-26 19:22:20 main:581] : INFO : Epoch 177 | loss: 0.0584307 | val_loss: 0.0584412 | Time: 3236.08 ms [2020-11-26 19:22:23 main:581] : INFO : Epoch 178 | loss: 0.0584342 | val_loss: 0.0584355 | Time: 3244.35 ms [2020-11-26 19:22:26 main:581] : INFO : Epoch 179 | loss: 0.0584285 | val_loss: 0.0584003 | Time: 2988.36 ms [2020-11-26 19:22:30 main:581] : INFO : Epoch 180 | loss: 0.0584263 | val_loss: 0.0584156 | Time: 3171.96 ms [2020-11-26 19:22:33 main:581] : INFO : Epoch 181 | loss: 0.0584856 | val_loss: 0.0584771 | Time: 3148.68 ms [2020-11-26 19:22:36 main:581] : INFO : Epoch 182 | loss: 0.0584856 | val_loss: 0.0584709 | Time: 3195.9 ms [2020-11-26 19:22:39 main:581] : INFO : Epoch 183 | loss: 0.0584758 | val_loss: 0.0584983 | Time: 3210.37 ms [2020-11-26 19:22:42 main:581] : INFO : Epoch 184 | loss: 0.0586222 | val_loss: 0.0586406 | Time: 3205.47 ms [2020-11-26 19:22:45 main:581] : INFO : Epoch 185 | loss: 0.0586716 | val_loss: 0.0586433 | Time: 3021.43 ms [2020-11-26 19:22:49 main:581] : INFO : Epoch 186 | loss: 0.0586477 | val_loss: 0.0586535 | Time: 3156.82 ms [2020-11-26 19:22:52 main:581] : INFO : Epoch 187 | loss: 0.058637 | val_loss: 0.0585589 | Time: 3076.5 ms [2020-11-26 19:22:55 main:581] : INFO : Epoch 188 | loss: 0.0586024 | val_loss: 0.0585665 | Time: 3057.22 ms [2020-11-26 19:22:58 main:581] : INFO : Epoch 189 | loss: 0.0587298 | val_loss: 0.058736 | Time: 3250.64 ms [2020-11-26 19:23:01 main:581] : INFO : Epoch 190 | loss: 0.0585248 | val_loss: 0.0585573 | Time: 2990.24 ms [2020-11-26 19:23:04 main:581] : INFO : Epoch 191 | loss: 0.0585309 | val_loss: 0.058523 | Time: 3182.67 ms [2020-11-26 19:23:07 main:581] : INFO : Epoch 192 | loss: 0.0585123 | val_loss: 0.0585575 | Time: 3230.64 ms [2020-11-26 19:23:07 main:604] : INFO : Saving trained model to model-final.pt, val_loss 0.0585575 [2020-11-26 19:23:07 main:610] : INFO : Saving end state to config to file [2020-11-26 19:23:07 main:615] : INFO : Success, exiting.. 19:23:07 (15765): 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)