Task 3075466
| Name | rand_automata_0025-1606117988-22454-95_0 |
| Workunit | 1403630 |
| Created | 26 Nov 2020, 21:58:21 UTC |
| Sent | 26 Nov 2020, 22:08:33 UTC |
| Report deadline | 3 Dec 2020, 22:08:33 UTC |
| Received | 26 Nov 2020, 22:18:59 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 4754 |
| Run time | 9 min 58 sec |
| CPU time | 9 min 54 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 17:08:51 main:442] : INFO : Set logging level to 1 [2020-11-26 17:08:51 main:448] : INFO : Running in BOINC Client mode [2020-11-26 17:08:51 main:451] : INFO : Resolving all filenames [2020-11-26 17:08:51 main:459] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-train-val-dataset.hdf5 (exists = 1) [2020-11-26 17:08:51 main:459] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-1606117988-22454-95_0_r2112704988_1 (exists = 0) [2020-11-26 17:08:51 main:459] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-1606117988-22454-95_0_r2112704988_0 (exists = 0) [2020-11-26 17:08:51 main:459] : INFO : Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-1606117988-22454-95 (exists = 1) [2020-11-26 17:08:51 main:459] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-26 17:08:51 main:479] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-train-val-dataset.hdf5 [2020-11-26 17:08:51 main:481] : INFO : Configuration: [2020-11-26 17:08:51 main:482] : INFO : Model type: LSTM [2020-11-26 17:08:51 main:483] : INFO : Validation Loss Threshold: 0.0001 [2020-11-26 17:08:51 main:484] : INFO : Max Epochs: 192 [2020-11-26 17:08:51 main:485] : INFO : Batch Size: 32 [2020-11-26 17:08:51 main:486] : INFO : Learning Rate: 0.001 [2020-11-26 17:08:51 main:487] : INFO : Patience: 10 [2020-11-26 17:08:51 main:488] : INFO : Hidden Width: 64 [2020-11-26 17:08:51 main:489] : INFO : # Recurrent Layers: 4 [2020-11-26 17:08:51 main:490] : INFO : # Backend Layers: 2 [2020-11-26 17:08:51 main:491] : INFO : # Threads: 1 [2020-11-26 17:08:51 main:493] : INFO : Preparing Dataset [2020-11-26 17:08:51 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 17:08:51 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 17:08:53 load:106] : INFO : Successfully loaded dataset of 4096 examples into memory. [2020-11-26 17:08:53 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 17:08:53 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 17:08:53 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-26 17:08:53 main:501] : INFO : Creating Model [2020-11-26 17:08:53 main:514] : INFO : Preparing config file [2020-11-26 17:08:53 main:526] : INFO : Creating new config file [2020-11-26 17:08:53 main:545] : INFO : This is a continuation WU, loading previous network [2020-11-26 17:08:54 main:566] : INFO : Loading DataLoader into Memory [2020-11-26 17:08:54 main:569] : INFO : Starting Training [2020-11-26 17:08:58 main:581] : INFO : Epoch 1 | loss: 0.0499202 | val_loss: 0.0495164 | Time: 4173.11 ms [2020-11-26 17:09:01 main:581] : INFO : Epoch 2 | loss: 0.0490951 | val_loss: 0.0491955 | Time: 3059.75 ms [2020-11-26 17:09:04 main:581] : INFO : Epoch 3 | loss: 0.0489625 | val_loss: 0.0491517 | Time: 2994.82 ms [2020-11-26 17:09:07 main:581] : INFO : Epoch 4 | loss: 0.048782 | val_loss: 0.0494268 | Time: 3048.62 ms [2020-11-26 17:09:10 main:581] : INFO : Epoch 5 | loss: 0.0487658 | val_loss: 0.0488273 | Time: 3170.48 ms [2020-11-26 17:09:13 main:581] : INFO : Epoch 6 | loss: 0.0482422 | val_loss: 0.0484652 | Time: 3102.03 ms [2020-11-26 17:09:16 main:581] : INFO : Epoch 7 | loss: 0.0477767 | val_loss: 0.0482624 | Time: 3024.25 ms [2020-11-26 17:09:19 main:581] : INFO : Epoch 8 | loss: 0.0479667 | val_loss: 0.0481872 | Time: 3105.49 ms [2020-11-26 17:09:23 main:581] : INFO : Epoch 9 | loss: 0.047574 | val_loss: 0.0476738 | Time: 3310.56 ms [2020-11-26 17:09:26 main:581] : INFO : Epoch 10 | loss: 0.0476902 | val_loss: 0.0479479 | Time: 3082.73 ms [2020-11-26 17:09:29 main:581] : INFO : Epoch 11 | loss: 0.0476824 | val_loss: 0.0479615 | Time: 3025.17 ms [2020-11-26 17:09:32 main:581] : INFO : Epoch 12 | loss: 0.047678 | val_loss: 0.0476386 | Time: 3070.35 ms [2020-11-26 17:09:35 main:581] : INFO : Epoch 13 | loss: 0.0482612 | val_loss: 0.0487361 | Time: 3290.92 ms [2020-11-26 17:09:38 main:581] : INFO : Epoch 14 | loss: 0.0487106 | val_loss: 0.0488024 | Time: 2972.47 ms [2020-11-26 17:09:41 main:581] : INFO : Epoch 15 | loss: 0.0487973 | val_loss: 0.0486524 | Time: 3129.5 ms [2020-11-26 17:09:44 main:581] : INFO : Epoch 16 | loss: 0.0491049 | val_loss: 0.0489314 | Time: 3082.27 ms [2020-11-26 17:09:48 main:581] : INFO : Epoch 17 | loss: 0.0486409 | val_loss: 0.0484169 | Time: 3087.14 ms [2020-11-26 17:09:51 main:581] : INFO : Epoch 18 | loss: 0.0479185 | val_loss: 0.0477207 | Time: 2997.84 ms [2020-11-26 17:09:54 main:581] : INFO : Epoch 19 | loss: 0.0475981 | val_loss: 0.0477169 | Time: 3002.37 ms [2020-11-26 17:09:56 main:581] : INFO : Epoch 20 | loss: 0.0475504 | val_loss: 0.0474653 | Time: 2977.2 ms [2020-11-26 17:10:00 main:581] : INFO : Epoch 21 | loss: 0.0478629 | val_loss: 0.0477396 | Time: 3057.47 ms [2020-11-26 17:10:03 main:581] : INFO : Epoch 22 | loss: 0.0477218 | val_loss: 0.0477173 | Time: 3212.63 ms [2020-11-26 17:10:06 main:581] : INFO : Epoch 23 | loss: 0.0474102 | val_loss: 0.0473826 | Time: 3112.37 ms [2020-11-26 17:10:09 main:581] : INFO : Epoch 24 | loss: 0.0470676 | val_loss: 0.0471456 | Time: 3197.85 ms [2020-11-26 17:10:12 main:581] : INFO : Epoch 25 | loss: 0.0468158 | val_loss: 0.0470892 | Time: 3084.89 ms [2020-11-26 17:10:15 main:581] : INFO : Epoch 26 | loss: 0.0469314 | val_loss: 0.047104 | Time: 3102.06 ms [2020-11-26 17:10:18 main:581] : INFO : Epoch 27 | loss: 0.0467164 | val_loss: 0.0469014 | Time: 3163.86 ms [2020-11-26 17:10:21 main:581] : INFO : Epoch 28 | loss: 0.0463852 | val_loss: 0.0465441 | Time: 3049.92 ms [2020-11-26 17:10:25 main:581] : INFO : Epoch 29 | loss: 0.046292 | val_loss: 0.046797 | Time: 3068.82 ms [2020-11-26 17:10:28 main:581] : INFO : Epoch 30 | loss: 0.046518 | val_loss: 0.0466375 | Time: 3013.08 ms [2020-11-26 17:10:31 main:581] : INFO : Epoch 31 | loss: 0.04643 | val_loss: 0.0467729 | Time: 3019.98 ms [2020-11-26 17:10:34 main:581] : INFO : Epoch 32 | loss: 0.0463928 | val_loss: 0.0466496 | Time: 2990.39 ms [2020-11-26 17:10:37 main:581] : INFO : Epoch 33 | loss: 0.0464469 | val_loss: 0.0468456 | Time: 3010.56 ms [2020-11-26 17:10:40 main:581] : INFO : Epoch 34 | loss: 0.0468419 | val_loss: 0.0476106 | Time: 3094.17 ms [2020-11-26 17:10:43 main:581] : INFO : Epoch 35 | loss: 0.0477031 | val_loss: 0.0487695 | Time: 3047.13 ms [2020-11-26 17:10:46 main:581] : INFO : Epoch 36 | loss: 0.0483405 | val_loss: 0.0484551 | Time: 3158.75 ms [2020-11-26 17:10:49 main:581] : INFO : Epoch 37 | loss: 0.0481532 | val_loss: 0.0484305 | Time: 3174.28 ms [2020-11-26 17:10:52 main:581] : INFO : Epoch 38 | loss: 0.0480032 | val_loss: 0.0479203 | Time: 3012.86 ms [2020-11-26 17:10:55 main:581] : INFO : Epoch 39 | loss: 0.0481552 | val_loss: 0.0483256 | Time: 3068.55 ms [2020-11-26 17:10:58 main:581] : INFO : Epoch 40 | loss: 0.0482031 | val_loss: 0.0481495 | Time: 3060.09 ms [2020-11-26 17:11:01 main:581] : INFO : Epoch 41 | loss: 0.0478004 | val_loss: 0.0479611 | Time: 2987.56 ms [2020-11-26 17:11:04 main:581] : INFO : Epoch 42 | loss: 0.0474686 | val_loss: 0.0474418 | Time: 3040.29 ms [2020-11-26 17:11:07 main:581] : INFO : Epoch 43 | loss: 0.0473652 | val_loss: 0.0476626 | Time: 3146.92 ms [2020-11-26 17:11:10 main:581] : INFO : Epoch 44 | loss: 0.0473439 | val_loss: 0.0474492 | Time: 3002.93 ms [2020-11-26 17:11:13 main:581] : INFO : Epoch 45 | loss: 0.0469822 | val_loss: 0.0471097 | Time: 3016.54 ms [2020-11-26 17:11:16 main:581] : INFO : Epoch 46 | loss: 0.0467705 | val_loss: 0.04702 | Time: 3089.51 ms [2020-11-26 17:11:20 main:581] : INFO : Epoch 47 | loss: 0.0468214 | val_loss: 0.0481093 | Time: 3066.92 ms [2020-11-26 17:11:23 main:581] : INFO : Epoch 48 | loss: 0.0476619 | val_loss: 0.0479373 | Time: 2991.04 ms [2020-11-26 17:11:26 main:581] : INFO : Epoch 49 | loss: 0.0475539 | val_loss: 0.0479721 | Time: 2987.14 ms [2020-11-26 17:11:29 main:581] : INFO : Epoch 50 | loss: 0.0477008 | val_loss: 0.0478768 | Time: 3035.57 ms [2020-11-26 17:11:32 main:581] : INFO : Epoch 51 | loss: 0.0475521 | val_loss: 0.0476379 | Time: 3016.31 ms [2020-11-26 17:11:35 main:581] : INFO : Epoch 52 | loss: 0.0473178 | val_loss: 0.047443 | Time: 2987.86 ms [2020-11-26 17:11:38 main:581] : INFO : Epoch 53 | loss: 0.0472142 | val_loss: 0.0474205 | Time: 3142.12 ms [2020-11-26 17:11:41 main:581] : INFO : Epoch 54 | loss: 0.0474204 | val_loss: 0.0478564 | Time: 3299.03 ms [2020-11-26 17:11:44 main:581] : INFO : Epoch 55 | loss: 0.0477576 | val_loss: 0.0481083 | Time: 3017.68 ms [2020-11-26 17:11:47 main:581] : INFO : Epoch 56 | loss: 0.0475854 | val_loss: 0.0477943 | Time: 3111.81 ms [2020-11-26 17:11:50 main:581] : INFO : Epoch 57 | loss: 0.0471682 | val_loss: 0.0475838 | Time: 3160.98 ms [2020-11-26 17:11:53 main:581] : INFO : Epoch 58 | loss: 0.0469462 | val_loss: 0.0474541 | Time: 3035.36 ms [2020-11-26 17:11:56 main:581] : INFO : Epoch 59 | loss: 0.0467797 | val_loss: 0.0471903 | Time: 3085.34 ms [2020-11-26 17:11:59 main:581] : INFO : Epoch 60 | loss: 0.046737 | val_loss: 0.0471005 | Time: 3021.94 ms [2020-11-26 17:12:02 main:581] : INFO : Epoch 61 | loss: 0.0467042 | val_loss: 0.0470499 | Time: 3025.73 ms [2020-11-26 17:12:05 main:581] : INFO : Epoch 62 | loss: 0.0465326 | val_loss: 0.048182 | Time: 3030.32 ms [2020-11-26 17:12:09 main:581] : INFO : Epoch 63 | loss: 0.0478568 | val_loss: 0.0485461 | Time: 3044.87 ms [2020-11-26 17:12:12 main:581] : INFO : Epoch 64 | loss: 0.0477728 | val_loss: 0.0482457 | Time: 3051.99 ms [2020-11-26 17:12:15 main:581] : INFO : Epoch 65 | loss: 0.0476844 | val_loss: 0.0480828 | Time: 3150.83 ms [2020-11-26 17:12:18 main:581] : INFO : Epoch 66 | loss: 0.0474089 | val_loss: 0.047769 | Time: 3105.77 ms [2020-11-26 17:12:21 main:581] : INFO : Epoch 67 | loss: 0.0472018 | val_loss: 0.0477545 | Time: 3065.19 ms [2020-11-26 17:12:24 main:581] : INFO : Epoch 68 | loss: 0.047297 | val_loss: 0.0476792 | Time: 3042.51 ms [2020-11-26 17:12:27 main:581] : INFO : Epoch 69 | loss: 0.0471117 | val_loss: 0.0475766 | Time: 3039.73 ms [2020-11-26 17:12:30 main:581] : INFO : Epoch 70 | loss: 0.0469139 | val_loss: 0.0472036 | Time: 3072.78 ms [2020-11-26 17:12:33 main:581] : INFO : Epoch 71 | loss: 0.04674 | val_loss: 0.0471801 | Time: 3040.69 ms [2020-11-26 17:12:36 main:581] : INFO : Epoch 72 | loss: 0.0466812 | val_loss: 0.0470125 | Time: 3183.5 ms [2020-11-26 17:12:39 main:581] : INFO : Epoch 73 | loss: 0.0467106 | val_loss: 0.0471787 | Time: 3141.16 ms [2020-11-26 17:12:43 main:581] : INFO : Epoch 74 | loss: 0.04669 | val_loss: 0.0468923 | Time: 3073.8 ms [2020-11-26 17:12:46 main:581] : INFO : Epoch 75 | loss: 0.0468263 | val_loss: 0.0474415 | Time: 3099.92 ms [2020-11-26 17:12:49 main:581] : INFO : Epoch 76 | loss: 0.0469651 | val_loss: 0.0471857 | Time: 3077.68 ms [2020-11-26 17:12:52 main:581] : INFO : Epoch 77 | loss: 0.04649 | val_loss: 0.0466958 | Time: 3134.78 ms [2020-11-26 17:12:55 main:581] : INFO : Epoch 78 | loss: 0.0463262 | val_loss: 0.0470341 | Time: 3032.04 ms [2020-11-26 17:12:58 main:581] : INFO : Epoch 79 | loss: 0.0465471 | val_loss: 0.0465869 | Time: 3022.15 ms [2020-11-26 17:13:01 main:581] : INFO : Epoch 80 | loss: 0.0459661 | val_loss: 0.0461685 | Time: 3087.52 ms [2020-11-26 17:13:04 main:581] : INFO : Epoch 81 | loss: 0.0462392 | val_loss: 0.046475 | Time: 3033.02 ms [2020-11-26 17:13:07 main:581] : INFO : Epoch 82 | loss: 0.0458783 | val_loss: 0.0459991 | Time: 3150.56 ms [2020-11-26 17:13:10 main:581] : INFO : Epoch 83 | loss: 0.0454447 | val_loss: 0.045692 | Time: 3053.21 ms [2020-11-26 17:13:13 main:581] : INFO : Epoch 84 | loss: 0.0451745 | val_loss: 0.0455604 | Time: 3115.62 ms [2020-11-26 17:13:16 main:581] : INFO : Epoch 85 | loss: 0.0453501 | val_loss: 0.0456706 | Time: 3105.59 ms [2020-11-26 17:13:19 main:581] : INFO : Epoch 86 | loss: 0.0452169 | val_loss: 0.0455756 | Time: 3042.04 ms [2020-11-26 17:13:22 main:581] : INFO : Epoch 87 | loss: 0.0449395 | val_loss: 0.0455138 | Time: 2986.35 ms [2020-11-26 17:13:26 main:581] : INFO : Epoch 88 | loss: 0.0449776 | val_loss: 0.0463091 | Time: 3062.02 ms [2020-11-26 17:13:29 main:581] : INFO : Epoch 89 | loss: 0.0462254 | val_loss: 0.0469892 | Time: 3022.68 ms [2020-11-26 17:13:32 main:581] : INFO : Epoch 90 | loss: 0.046383 | val_loss: 0.0465433 | Time: 3095.11 ms [2020-11-26 17:13:35 main:581] : INFO : Epoch 91 | loss: 0.0462448 | val_loss: 0.0467959 | Time: 3052.16 ms [2020-11-26 17:13:38 main:581] : INFO : Epoch 92 | loss: 0.0464967 | val_loss: 0.0473041 | Time: 3105.23 ms [2020-11-26 17:13:41 main:581] : INFO : Epoch 93 | loss: 0.0469103 | val_loss: 0.0483859 | Time: 3202.13 ms [2020-11-26 17:13:44 main:581] : INFO : Epoch 94 | loss: 0.0483262 | val_loss: 0.0482266 | Time: 3092.59 ms [2020-11-26 17:13:47 main:581] : INFO : Epoch 95 | loss: 0.0480504 | val_loss: 0.048101 | Time: 3042.36 ms [2020-11-26 17:13:50 main:581] : INFO : Epoch 96 | loss: 0.0479228 | val_loss: 0.0479343 | Time: 3045.61 ms [2020-11-26 17:13:53 main:581] : INFO : Epoch 97 | loss: 0.0476111 | val_loss: 0.0479659 | Time: 3000.24 ms [2020-11-26 17:13:56 main:581] : INFO : Epoch 98 | loss: 0.0475518 | val_loss: 0.0476374 | Time: 3072.66 ms [2020-11-26 17:13:59 main:581] : INFO : Epoch 99 | loss: 0.0473131 | val_loss: 0.0475559 | Time: 3113.46 ms [2020-11-26 17:14:02 main:581] : INFO : Epoch 100 | loss: 0.0471611 | val_loss: 0.0475182 | Time: 3019.38 ms [2020-11-26 17:14:05 main:581] : INFO : Epoch 101 | loss: 0.0477715 | val_loss: 0.0494194 | Time: 3037.15 ms [2020-11-26 17:14:08 main:581] : INFO : Epoch 102 | loss: 0.0493854 | val_loss: 0.0495318 | Time: 3045.04 ms [2020-11-26 17:14:11 main:581] : INFO : Epoch 103 | loss: 0.0490495 | val_loss: 0.0491677 | Time: 3017.71 ms [2020-11-26 17:14:15 main:581] : INFO : Epoch 104 | loss: 0.0488169 | val_loss: 0.048931 | Time: 3040.61 ms [2020-11-26 17:14:18 main:581] : INFO : Epoch 105 | loss: 0.0485901 | val_loss: 0.0487085 | Time: 3113.1 ms [2020-11-26 17:14:21 main:581] : INFO : Epoch 106 | loss: 0.0482868 | val_loss: 0.0484609 | Time: 3042.07 ms [2020-11-26 17:14:24 main:581] : INFO : Epoch 107 | loss: 0.0480218 | val_loss: 0.0481494 | Time: 3031.84 ms [2020-11-26 17:14:27 main:581] : INFO : Epoch 108 | loss: 0.047712 | val_loss: 0.0478165 | Time: 3064.52 ms [2020-11-26 17:14:30 main:581] : INFO : Epoch 109 | loss: 0.0473776 | val_loss: 0.047508 | Time: 3215.88 ms [2020-11-26 17:14:33 main:581] : INFO : Epoch 110 | loss: 0.0470534 | val_loss: 0.0472386 | Time: 3051.95 ms [2020-11-26 17:14:36 main:581] : INFO : Epoch 111 | loss: 0.0468713 | val_loss: 0.0470142 | Time: 3105.02 ms [2020-11-26 17:14:39 main:581] : INFO : Epoch 112 | loss: 0.0467585 | val_loss: 0.04684 | Time: 3136.61 ms [2020-11-26 17:14:42 main:581] : INFO : Epoch 113 | loss: 0.0468155 | val_loss: 0.046782 | Time: 3138.22 ms [2020-11-26 17:14:46 main:581] : INFO : Epoch 114 | loss: 0.0472861 | val_loss: 0.0489683 | Time: 3155.61 ms [2020-11-26 17:14:49 main:581] : INFO : Epoch 115 | loss: 0.0486014 | val_loss: 0.0485816 | Time: 3139.87 ms [2020-11-26 17:14:52 main:581] : INFO : Epoch 116 | loss: 0.0483018 | val_loss: 0.0484807 | Time: 3270.15 ms [2020-11-26 17:14:55 main:581] : INFO : Epoch 117 | loss: 0.0480687 | val_loss: 0.0482875 | Time: 3049.26 ms [2020-11-26 17:14:58 main:581] : INFO : Epoch 118 | loss: 0.0485616 | val_loss: 0.0488093 | Time: 3227.19 ms [2020-11-26 17:15:01 main:581] : INFO : Epoch 119 | loss: 0.0484874 | val_loss: 0.0487731 | Time: 3090.23 ms [2020-11-26 17:15:04 main:581] : INFO : Epoch 120 | loss: 0.0482783 | val_loss: 0.0482562 | Time: 3023.92 ms [2020-11-26 17:15:07 main:581] : INFO : Epoch 121 | loss: 0.0481565 | val_loss: 0.0487726 | Time: 3011.71 ms [2020-11-26 17:15:11 main:581] : INFO : Epoch 122 | loss: 0.0485135 | val_loss: 0.0484151 | Time: 3111 ms [2020-11-26 17:15:14 main:581] : INFO : Epoch 123 | loss: 0.048282 | val_loss: 0.0487136 | Time: 3048.11 ms [2020-11-26 17:15:17 main:581] : INFO : Epoch 124 | loss: 0.0482661 | val_loss: 0.0484371 | Time: 3138.94 ms [2020-11-26 17:15:20 main:581] : INFO : Epoch 125 | loss: 0.0478791 | val_loss: 0.0480521 | Time: 3067.16 ms [2020-11-26 17:15:23 main:581] : INFO : Epoch 126 | loss: 0.0474191 | val_loss: 0.0478942 | Time: 3120.39 ms [2020-11-26 17:15:26 main:581] : INFO : Epoch 127 | loss: 0.0473038 | val_loss: 0.0476615 | Time: 3159.83 ms [2020-11-26 17:15:29 main:581] : INFO : Epoch 128 | loss: 0.0471164 | val_loss: 0.0474765 | Time: 3024.04 ms [2020-11-26 17:15:32 main:581] : INFO : Epoch 129 | loss: 0.046929 | val_loss: 0.0473826 | Time: 3002.38 ms [2020-11-26 17:15:35 main:581] : INFO : Epoch 130 | loss: 0.0467316 | val_loss: 0.0470084 | Time: 3083.4 ms [2020-11-26 17:15:38 main:581] : INFO : Epoch 131 | loss: 0.0463742 | val_loss: 0.0466639 | Time: 3152.31 ms [2020-11-26 17:15:42 main:581] : INFO : Epoch 132 | loss: 0.048404 | val_loss: 0.0496791 | Time: 3258.65 ms [2020-11-26 17:15:45 main:581] : INFO : Epoch 133 | loss: 0.049467 | val_loss: 0.0496044 | Time: 3288.09 ms [2020-11-26 17:15:48 main:581] : INFO : Epoch 134 | loss: 0.0493859 | val_loss: 0.0495014 | Time: 3121.73 ms [2020-11-26 17:15:51 main:581] : INFO : Epoch 135 | loss: 0.0493452 | val_loss: 0.0495918 | Time: 3032.14 ms [2020-11-26 17:15:54 main:581] : INFO : Epoch 136 | loss: 0.0493037 | val_loss: 0.0494129 | Time: 3113.06 ms [2020-11-26 17:15:57 main:581] : INFO : Epoch 137 | loss: 0.0490397 | val_loss: 0.0491582 | Time: 2996.06 ms [2020-11-26 17:16:00 main:581] : INFO : Epoch 138 | loss: 0.0488793 | val_loss: 0.0491535 | Time: 3074.29 ms [2020-11-26 17:16:03 main:581] : INFO : Epoch 139 | loss: 0.0487325 | val_loss: 0.0488015 | Time: 3077.32 ms [2020-11-26 17:16:06 main:581] : INFO : Epoch 140 | loss: 0.0484051 | val_loss: 0.0485343 | Time: 3096.75 ms [2020-11-26 17:16:09 main:581] : INFO : Epoch 141 | loss: 0.0481329 | val_loss: 0.0482982 | Time: 3044.08 ms [2020-11-26 17:16:12 main:581] : INFO : Epoch 142 | loss: 0.0480626 | val_loss: 0.0482982 | Time: 3038.76 ms [2020-11-26 17:16:15 main:581] : INFO : Epoch 143 | loss: 0.0478863 | val_loss: 0.0480825 | Time: 3005.04 ms [2020-11-26 17:16:19 main:581] : INFO : Epoch 144 | loss: 0.0482302 | val_loss: 0.0490287 | Time: 3207.65 ms [2020-11-26 17:16:22 main:581] : INFO : Epoch 145 | loss: 0.0484904 | val_loss: 0.0487042 | Time: 3016.68 ms [2020-11-26 17:16:25 main:581] : INFO : Epoch 146 | loss: 0.0482214 | val_loss: 0.0486106 | Time: 3121.82 ms [2020-11-26 17:16:28 main:581] : INFO : Epoch 147 | loss: 0.0480809 | val_loss: 0.0483623 | Time: 3011.58 ms [2020-11-26 17:16:31 main:581] : INFO : Epoch 148 | loss: 0.0477063 | val_loss: 0.048135 | Time: 3081.33 ms [2020-11-26 17:16:34 main:581] : INFO : Epoch 149 | loss: 0.0474297 | val_loss: 0.0480635 | Time: 3127.8 ms [2020-11-26 17:16:37 main:581] : INFO : Epoch 150 | loss: 0.048279 | val_loss: 0.0485097 | Time: 3151.93 ms [2020-11-26 17:16:40 main:581] : INFO : Epoch 151 | loss: 0.0482603 | val_loss: 0.0484199 | Time: 3041.93 ms [2020-11-26 17:16:43 main:581] : INFO : Epoch 152 | loss: 0.048046 | val_loss: 0.0481929 | Time: 3167.91 ms [2020-11-26 17:16:46 main:581] : INFO : Epoch 153 | loss: 0.0478443 | val_loss: 0.0479495 | Time: 3024.22 ms [2020-11-26 17:16:49 main:581] : INFO : Epoch 154 | loss: 0.0475454 | val_loss: 0.0475984 | Time: 3031.43 ms [2020-11-26 17:16:53 main:581] : INFO : Epoch 155 | loss: 0.0472186 | val_loss: 0.0473102 | Time: 3099.69 ms [2020-11-26 17:16:56 main:581] : INFO : Epoch 156 | loss: 0.0468574 | val_loss: 0.0469519 | Time: 3150.96 ms [2020-11-26 17:16:59 main:581] : INFO : Epoch 157 | loss: 0.0464727 | val_loss: 0.0467058 | Time: 3113.49 ms [2020-11-26 17:17:02 main:581] : INFO : Epoch 158 | loss: 0.0461654 | val_loss: 0.0464044 | Time: 3017.28 ms [2020-11-26 17:17:05 main:581] : INFO : Epoch 159 | loss: 0.0461635 | val_loss: 0.0465592 | Time: 2981.17 ms [2020-11-26 17:17:08 main:581] : INFO : Epoch 160 | loss: 0.0460309 | val_loss: 0.0462266 | Time: 3062.52 ms [2020-11-26 17:17:11 main:581] : INFO : Epoch 161 | loss: 0.0457147 | val_loss: 0.046042 | Time: 3070.68 ms [2020-11-26 17:17:14 main:581] : INFO : Epoch 162 | loss: 0.0453784 | val_loss: 0.0455749 | Time: 3124.79 ms [2020-11-26 17:17:17 main:581] : INFO : Epoch 163 | loss: 0.0449951 | val_loss: 0.0453272 | Time: 3142.71 ms [2020-11-26 17:17:20 main:581] : INFO : Epoch 164 | loss: 0.0449026 | val_loss: 0.0456681 | Time: 3127.87 ms [2020-11-26 17:17:23 main:581] : INFO : Epoch 165 | loss: 0.0450137 | val_loss: 0.0453977 | Time: 3006.28 ms [2020-11-26 17:17:26 main:581] : INFO : Epoch 166 | loss: 0.044741 | val_loss: 0.0451342 | Time: 3052.88 ms [2020-11-26 17:17:29 main:581] : INFO : Epoch 167 | loss: 0.0447483 | val_loss: 0.0450754 | Time: 3012.1 ms [2020-11-26 17:17:32 main:581] : INFO : Epoch 168 | loss: 0.0462409 | val_loss: 0.0470103 | Time: 2992.61 ms [2020-11-26 17:17:35 main:581] : INFO : Epoch 169 | loss: 0.046797 | val_loss: 0.0470008 | Time: 3085.83 ms [2020-11-26 17:17:39 main:581] : INFO : Epoch 170 | loss: 0.04655 | val_loss: 0.046753 | Time: 3081.06 ms [2020-11-26 17:17:42 main:581] : INFO : Epoch 171 | loss: 0.0463323 | val_loss: 0.0465204 | Time: 3219.98 ms [2020-11-26 17:17:45 main:581] : INFO : Epoch 172 | loss: 0.0460851 | val_loss: 0.0463458 | Time: 3206.68 ms [2020-11-26 17:17:48 main:581] : INFO : Epoch 173 | loss: 0.0460064 | val_loss: 0.0461541 | Time: 3063.75 ms [2020-11-26 17:17:51 main:581] : INFO : Epoch 174 | loss: 0.0457304 | val_loss: 0.0458015 | Time: 3052.25 ms [2020-11-26 17:17:54 main:581] : INFO : Epoch 175 | loss: 0.045325 | val_loss: 0.0456162 | Time: 3086.51 ms [2020-11-26 17:17:57 main:581] : INFO : Epoch 176 | loss: 0.0450509 | val_loss: 0.0452313 | Time: 3069.74 ms [2020-11-26 17:18:00 main:581] : INFO : Epoch 177 | loss: 0.0448341 | val_loss: 0.0449734 | Time: 3175.51 ms [2020-11-26 17:18:04 main:581] : INFO : Epoch 178 | loss: 0.044859 | val_loss: 0.0448757 | Time: 3086.43 ms [2020-11-26 17:18:07 main:581] : INFO : Epoch 179 | loss: 0.0446733 | val_loss: 0.0450038 | Time: 3125.25 ms [2020-11-26 17:18:10 main:581] : INFO : Epoch 180 | loss: 0.0444382 | val_loss: 0.0448876 | Time: 3148.08 ms [2020-11-26 17:18:13 main:581] : INFO : Epoch 181 | loss: 0.0440217 | val_loss: 0.0444079 | Time: 3003.38 ms [2020-11-26 17:18:16 main:581] : INFO : Epoch 182 | loss: 0.0437292 | val_loss: 0.0444168 | Time: 3059.52 ms [2020-11-26 17:18:19 main:581] : INFO : Epoch 183 | loss: 0.0443142 | val_loss: 0.0450815 | Time: 3011.12 ms [2020-11-26 17:18:22 main:581] : INFO : Epoch 184 | loss: 0.0441306 | val_loss: 0.0444406 | Time: 3139.92 ms [2020-11-26 17:18:25 main:581] : INFO : Epoch 185 | loss: 0.0436258 | val_loss: 0.0439402 | Time: 3006.2 ms [2020-11-26 17:18:28 main:581] : INFO : Epoch 186 | loss: 0.043034 | val_loss: 0.043274 | Time: 3099.83 ms [2020-11-26 17:18:31 main:581] : INFO : Epoch 187 | loss: 0.0431785 | val_loss: 0.0437464 | Time: 3055.22 ms [2020-11-26 17:18:34 main:581] : INFO : Epoch 188 | loss: 0.0431212 | val_loss: 0.0441781 | Time: 2992.46 ms [2020-11-26 17:18:37 main:581] : INFO : Epoch 189 | loss: 0.0444494 | val_loss: 0.0456838 | Time: 3036.49 ms [2020-11-26 17:18:40 main:581] : INFO : Epoch 190 | loss: 0.0447274 | val_loss: 0.044817 | Time: 3007.98 ms [2020-11-26 17:18:43 main:581] : INFO : Epoch 191 | loss: 0.0449137 | val_loss: 0.045532 | Time: 3125.9 ms [2020-11-26 17:18:46 main:581] : INFO : Epoch 192 | loss: 0.0447806 | val_loss: 0.0451591 | Time: 3003.52 ms [2020-11-26 17:18:46 main:604] : INFO : Saving trained model to model-final.pt, val_loss 0.0451591 [2020-11-26 17:18:46 main:610] : INFO : Saving end state to config to file [2020-11-26 17:18:46 main:615] : INFO : Success, exiting.. 17:18:46 (15440): 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)