Task 3074893
| Name | rand_automata_0082-1606118020-23562-89_0 |
| Workunit | 1403154 |
| Created | 26 Nov 2020, 20:45:30 UTC |
| Sent | 26 Nov 2020, 20:55:20 UTC |
| Report deadline | 3 Dec 2020, 20:55:20 UTC |
| Received | 26 Nov 2020, 21:05:47 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 4754 |
| Run time | 9 min 53 sec |
| CPU time | 9 min 49 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 15:55:45 main:442] : INFO : Set logging level to 1 [2020-11-26 15:55:45 main:448] : INFO : Running in BOINC Client mode [2020-11-26 15:55:45 main:451] : INFO : Resolving all filenames [2020-11-26 15:55:45 main:459] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-train-val-dataset.hdf5 (exists = 1) [2020-11-26 15:55:45 main:459] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-1606118020-23562-89_0_r2111022465_1 (exists = 0) [2020-11-26 15:55:45 main:459] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-1606118020-23562-89_0_r2111022465_0 (exists = 0) [2020-11-26 15:55:45 main:459] : INFO : Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-1606118020-23562-89 (exists = 1) [2020-11-26 15:55:45 main:459] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-26 15:55:45 main:479] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-train-val-dataset.hdf5 [2020-11-26 15:55:45 main:481] : INFO : Configuration: [2020-11-26 15:55:45 main:482] : INFO : Model type: LSTM [2020-11-26 15:55:45 main:483] : INFO : Validation Loss Threshold: 0.0001 [2020-11-26 15:55:45 main:484] : INFO : Max Epochs: 192 [2020-11-26 15:55:45 main:485] : INFO : Batch Size: 32 [2020-11-26 15:55:45 main:486] : INFO : Learning Rate: 0.001 [2020-11-26 15:55:45 main:487] : INFO : Patience: 10 [2020-11-26 15:55:45 main:488] : INFO : Hidden Width: 64 [2020-11-26 15:55:45 main:489] : INFO : # Recurrent Layers: 4 [2020-11-26 15:55:45 main:490] : INFO : # Backend Layers: 2 [2020-11-26 15:55:45 main:491] : INFO : # Threads: 1 [2020-11-26 15:55:45 main:493] : INFO : Preparing Dataset [2020-11-26 15:55:45 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-train-val-dataset.hdf5 into memory [2020-11-26 15:55:45 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-train-val-dataset.hdf5 into memory [2020-11-26 15:55:48 load:106] : INFO : Successfully loaded dataset of 4096 examples into memory. [2020-11-26 15:55:48 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-train-val-dataset.hdf5 into memory [2020-11-26 15:55:48 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-train-val-dataset.hdf5 into memory [2020-11-26 15:55:48 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-26 15:55:48 main:501] : INFO : Creating Model [2020-11-26 15:55:48 main:514] : INFO : Preparing config file [2020-11-26 15:55:48 main:526] : INFO : Creating new config file [2020-11-26 15:55:48 main:545] : INFO : This is a continuation WU, loading previous network [2020-11-26 15:55:48 main:566] : INFO : Loading DataLoader into Memory [2020-11-26 15:55:48 main:569] : INFO : Starting Training [2020-11-26 15:55:52 main:581] : INFO : Epoch 1 | loss: 0.0566594 | val_loss: 0.0568334 | Time: 3972.4 ms [2020-11-26 15:55:55 main:581] : INFO : Epoch 2 | loss: 0.0566439 | val_loss: 0.0568471 | Time: 3004.85 ms [2020-11-26 15:55:58 main:581] : INFO : Epoch 3 | loss: 0.0566508 | val_loss: 0.056777 | Time: 3081.55 ms [2020-11-26 15:56:01 main:581] : INFO : Epoch 4 | loss: 0.0565769 | val_loss: 0.056684 | Time: 3036.74 ms [2020-11-26 15:56:04 main:581] : INFO : Epoch 5 | loss: 0.0566036 | val_loss: 0.0567559 | Time: 2958.95 ms [2020-11-26 15:56:07 main:581] : INFO : Epoch 6 | loss: 0.0565708 | val_loss: 0.0565995 | Time: 3051.22 ms [2020-11-26 15:56:10 main:581] : INFO : Epoch 7 | loss: 0.0564865 | val_loss: 0.0566006 | Time: 3128.02 ms [2020-11-26 15:56:13 main:581] : INFO : Epoch 8 | loss: 0.0564514 | val_loss: 0.0565782 | Time: 3048.14 ms [2020-11-26 15:56:17 main:581] : INFO : Epoch 9 | loss: 0.0564716 | val_loss: 0.0566485 | Time: 3155.77 ms [2020-11-26 15:56:20 main:581] : INFO : Epoch 10 | loss: 0.0564625 | val_loss: 0.0565936 | Time: 3102.95 ms [2020-11-26 15:56:23 main:581] : INFO : Epoch 11 | loss: 0.0564292 | val_loss: 0.0565399 | Time: 3170.64 ms [2020-11-26 15:56:26 main:581] : INFO : Epoch 12 | loss: 0.0563707 | val_loss: 0.0565301 | Time: 3124.07 ms [2020-11-26 15:56:29 main:581] : INFO : Epoch 13 | loss: 0.0563605 | val_loss: 0.0565152 | Time: 3063.48 ms [2020-11-26 15:56:32 main:581] : INFO : Epoch 14 | loss: 0.0563048 | val_loss: 0.0564002 | Time: 2962.93 ms [2020-11-26 15:56:35 main:581] : INFO : Epoch 15 | loss: 0.0563062 | val_loss: 0.0563698 | Time: 3124.65 ms [2020-11-26 15:56:38 main:581] : INFO : Epoch 16 | loss: 0.0562638 | val_loss: 0.0563505 | Time: 3036.51 ms [2020-11-26 15:56:41 main:581] : INFO : Epoch 17 | loss: 0.0562122 | val_loss: 0.0563044 | Time: 2944.62 ms [2020-11-26 15:56:44 main:581] : INFO : Epoch 18 | loss: 0.0561777 | val_loss: 0.0562968 | Time: 2966.97 ms [2020-11-26 15:56:47 main:581] : INFO : Epoch 19 | loss: 0.0561874 | val_loss: 0.0564304 | Time: 3047.6 ms [2020-11-26 15:56:50 main:581] : INFO : Epoch 20 | loss: 0.0563456 | val_loss: 0.0564356 | Time: 2957.85 ms [2020-11-26 15:56:53 main:581] : INFO : Epoch 21 | loss: 0.0563756 | val_loss: 0.0565052 | Time: 3014.5 ms [2020-11-26 15:56:56 main:581] : INFO : Epoch 22 | loss: 0.0563835 | val_loss: 0.0564876 | Time: 3005.76 ms [2020-11-26 15:56:59 main:581] : INFO : Epoch 23 | loss: 0.0563567 | val_loss: 0.0564682 | Time: 3056.39 ms [2020-11-26 15:57:02 main:581] : INFO : Epoch 24 | loss: 0.0563291 | val_loss: 0.0564137 | Time: 2985.43 ms [2020-11-26 15:57:05 main:581] : INFO : Epoch 25 | loss: 0.0562762 | val_loss: 0.0563821 | Time: 2977.33 ms [2020-11-26 15:57:08 main:581] : INFO : Epoch 26 | loss: 0.0562829 | val_loss: 0.0563893 | Time: 3066.28 ms [2020-11-26 15:57:11 main:581] : INFO : Epoch 27 | loss: 0.0562545 | val_loss: 0.0563462 | Time: 3055.58 ms [2020-11-26 15:57:14 main:581] : INFO : Epoch 28 | loss: 0.0562069 | val_loss: 0.05631 | Time: 3084.02 ms [2020-11-26 15:57:17 main:581] : INFO : Epoch 29 | loss: 0.0562016 | val_loss: 0.0563179 | Time: 3006.4 ms [2020-11-26 15:57:20 main:581] : INFO : Epoch 30 | loss: 0.0561766 | val_loss: 0.0562937 | Time: 3045.24 ms [2020-11-26 15:57:23 main:581] : INFO : Epoch 31 | loss: 0.0561528 | val_loss: 0.0563134 | Time: 2990.7 ms [2020-11-26 15:57:26 main:581] : INFO : Epoch 32 | loss: 0.056264 | val_loss: 0.0564374 | Time: 2957.73 ms [2020-11-26 15:57:29 main:581] : INFO : Epoch 33 | loss: 0.0563259 | val_loss: 0.0564092 | Time: 3178.23 ms [2020-11-26 15:57:33 main:581] : INFO : Epoch 34 | loss: 0.0562804 | val_loss: 0.0563925 | Time: 3250.96 ms [2020-11-26 15:57:36 main:581] : INFO : Epoch 35 | loss: 0.0562279 | val_loss: 0.0563403 | Time: 3180.79 ms [2020-11-26 15:57:39 main:581] : INFO : Epoch 36 | loss: 0.0561891 | val_loss: 0.0562973 | Time: 2964.48 ms [2020-11-26 15:57:42 main:581] : INFO : Epoch 37 | loss: 0.0561492 | val_loss: 0.0562358 | Time: 3002.83 ms [2020-11-26 15:57:45 main:581] : INFO : Epoch 38 | loss: 0.0561173 | val_loss: 0.056232 | Time: 3039.05 ms [2020-11-26 15:57:48 main:581] : INFO : Epoch 39 | loss: 0.0560969 | val_loss: 0.0561247 | Time: 2937.73 ms [2020-11-26 15:57:51 main:581] : INFO : Epoch 40 | loss: 0.0559681 | val_loss: 0.056102 | Time: 2999.56 ms [2020-11-26 15:57:54 main:581] : INFO : Epoch 41 | loss: 0.0559208 | val_loss: 0.0560513 | Time: 3061.74 ms [2020-11-26 15:57:57 main:581] : INFO : Epoch 42 | loss: 0.0559373 | val_loss: 0.0560778 | Time: 3165.83 ms [2020-11-26 15:58:00 main:581] : INFO : Epoch 43 | loss: 0.0559096 | val_loss: 0.0560114 | Time: 3010.43 ms [2020-11-26 15:58:03 main:581] : INFO : Epoch 44 | loss: 0.0558994 | val_loss: 0.0560041 | Time: 3026.28 ms [2020-11-26 15:58:06 main:581] : INFO : Epoch 45 | loss: 0.0558865 | val_loss: 0.0559346 | Time: 2994.66 ms [2020-11-26 15:58:09 main:581] : INFO : Epoch 46 | loss: 0.0558507 | val_loss: 0.0559279 | Time: 3025.81 ms [2020-11-26 15:58:12 main:581] : INFO : Epoch 47 | loss: 0.0558518 | val_loss: 0.0558815 | Time: 2991.95 ms [2020-11-26 15:58:15 main:581] : INFO : Epoch 48 | loss: 0.0558033 | val_loss: 0.0558431 | Time: 2972.11 ms [2020-11-26 15:58:18 main:581] : INFO : Epoch 49 | loss: 0.0557717 | val_loss: 0.0558749 | Time: 3032.07 ms [2020-11-26 15:58:21 main:581] : INFO : Epoch 50 | loss: 0.0557222 | val_loss: 0.0559068 | Time: 3137.26 ms [2020-11-26 15:58:24 main:581] : INFO : Epoch 51 | loss: 0.0556653 | val_loss: 0.0558409 | Time: 3101.06 ms [2020-11-26 15:58:27 main:581] : INFO : Epoch 52 | loss: 0.0556104 | val_loss: 0.0557542 | Time: 3047 ms [2020-11-26 15:58:30 main:581] : INFO : Epoch 53 | loss: 0.0555496 | val_loss: 0.0556944 | Time: 3030.3 ms [2020-11-26 15:58:33 main:581] : INFO : Epoch 54 | loss: 0.0555108 | val_loss: 0.0556623 | Time: 2962.98 ms [2020-11-26 15:58:36 main:581] : INFO : Epoch 55 | loss: 0.0554362 | val_loss: 0.0556112 | Time: 3048.03 ms [2020-11-26 15:58:39 main:581] : INFO : Epoch 56 | loss: 0.0553673 | val_loss: 0.055545 | Time: 3008.37 ms [2020-11-26 15:58:42 main:581] : INFO : Epoch 57 | loss: 0.055315 | val_loss: 0.0555354 | Time: 3003.66 ms [2020-11-26 15:58:46 main:581] : INFO : Epoch 58 | loss: 0.0553994 | val_loss: 0.055481 | Time: 3050.55 ms [2020-11-26 15:58:49 main:581] : INFO : Epoch 59 | loss: 0.0552665 | val_loss: 0.0553911 | Time: 3030.41 ms [2020-11-26 15:58:52 main:581] : INFO : Epoch 60 | loss: 0.0552398 | val_loss: 0.0553713 | Time: 3155.19 ms [2020-11-26 15:58:55 main:581] : INFO : Epoch 61 | loss: 0.0551707 | val_loss: 0.0552981 | Time: 2972.98 ms [2020-11-26 15:58:58 main:581] : INFO : Epoch 62 | loss: 0.0551165 | val_loss: 0.0552648 | Time: 3009.51 ms [2020-11-26 15:59:01 main:581] : INFO : Epoch 63 | loss: 0.0550824 | val_loss: 0.055199 | Time: 3082.1 ms [2020-11-26 15:59:04 main:581] : INFO : Epoch 64 | loss: 0.0549741 | val_loss: 0.0550944 | Time: 3069.4 ms [2020-11-26 15:59:07 main:581] : INFO : Epoch 65 | loss: 0.0548765 | val_loss: 0.0550244 | Time: 3107.93 ms [2020-11-26 15:59:10 main:581] : INFO : Epoch 66 | loss: 0.0548495 | val_loss: 0.0550093 | Time: 3115.61 ms [2020-11-26 15:59:13 main:581] : INFO : Epoch 67 | loss: 0.0547693 | val_loss: 0.0548897 | Time: 2984.82 ms [2020-11-26 15:59:16 main:581] : INFO : Epoch 68 | loss: 0.0546223 | val_loss: 0.0547597 | Time: 3077.41 ms [2020-11-26 15:59:19 main:581] : INFO : Epoch 69 | loss: 0.0544938 | val_loss: 0.0546513 | Time: 2974.79 ms [2020-11-26 15:59:22 main:581] : INFO : Epoch 70 | loss: 0.0543984 | val_loss: 0.054585 | Time: 3038.51 ms [2020-11-26 15:59:25 main:581] : INFO : Epoch 71 | loss: 0.0542726 | val_loss: 0.054396 | Time: 3116.42 ms [2020-11-26 15:59:28 main:581] : INFO : Epoch 72 | loss: 0.0541288 | val_loss: 0.0543425 | Time: 3104.82 ms [2020-11-26 15:59:31 main:581] : INFO : Epoch 73 | loss: 0.0540651 | val_loss: 0.0542059 | Time: 3102.07 ms [2020-11-26 15:59:35 main:581] : INFO : Epoch 74 | loss: 0.0539221 | val_loss: 0.0540466 | Time: 3122.07 ms [2020-11-26 15:59:38 main:581] : INFO : Epoch 75 | loss: 0.0537826 | val_loss: 0.0539125 | Time: 3004.51 ms [2020-11-26 15:59:41 main:581] : INFO : Epoch 76 | loss: 0.0536466 | val_loss: 0.0537656 | Time: 3112.91 ms [2020-11-26 15:59:44 main:581] : INFO : Epoch 77 | loss: 0.0535552 | val_loss: 0.0537395 | Time: 3008.59 ms [2020-11-26 15:59:47 main:581] : INFO : Epoch 78 | loss: 0.0534413 | val_loss: 0.0536035 | Time: 3009.49 ms [2020-11-26 15:59:50 main:581] : INFO : Epoch 79 | loss: 0.0532539 | val_loss: 0.0535143 | Time: 3099.55 ms [2020-11-26 15:59:53 main:581] : INFO : Epoch 80 | loss: 0.0531404 | val_loss: 0.0532647 | Time: 3261.58 ms [2020-11-26 15:59:56 main:581] : INFO : Epoch 81 | loss: 0.0529516 | val_loss: 0.0531719 | Time: 2994.77 ms [2020-11-26 15:59:59 main:581] : INFO : Epoch 82 | loss: 0.0527542 | val_loss: 0.0530438 | Time: 3074.89 ms [2020-11-26 16:00:02 main:581] : INFO : Epoch 83 | loss: 0.0528702 | val_loss: 0.0530939 | Time: 3128.97 ms [2020-11-26 16:00:05 main:581] : INFO : Epoch 84 | loss: 0.0529792 | val_loss: 0.0531529 | Time: 3007.6 ms [2020-11-26 16:00:08 main:581] : INFO : Epoch 85 | loss: 0.0527484 | val_loss: 0.0528753 | Time: 3026.88 ms [2020-11-26 16:00:11 main:581] : INFO : Epoch 86 | loss: 0.052581 | val_loss: 0.0529973 | Time: 3014.89 ms [2020-11-26 16:00:14 main:581] : INFO : Epoch 87 | loss: 0.0530381 | val_loss: 0.0532803 | Time: 3110.76 ms [2020-11-26 16:00:17 main:581] : INFO : Epoch 88 | loss: 0.0529877 | val_loss: 0.0531047 | Time: 2985.44 ms [2020-11-26 16:00:20 main:581] : INFO : Epoch 89 | loss: 0.0528426 | val_loss: 0.0531409 | Time: 3009.84 ms [2020-11-26 16:00:24 main:581] : INFO : Epoch 90 | loss: 0.0528681 | val_loss: 0.0531186 | Time: 3184.17 ms [2020-11-26 16:00:27 main:581] : INFO : Epoch 91 | loss: 0.0528218 | val_loss: 0.0529929 | Time: 3035.99 ms [2020-11-26 16:00:30 main:581] : INFO : Epoch 92 | loss: 0.0527575 | val_loss: 0.0531367 | Time: 3095.36 ms [2020-11-26 16:00:33 main:581] : INFO : Epoch 93 | loss: 0.0527734 | val_loss: 0.0529763 | Time: 2976.46 ms [2020-11-26 16:00:36 main:581] : INFO : Epoch 94 | loss: 0.0527891 | val_loss: 0.053009 | Time: 3079.39 ms [2020-11-26 16:00:39 main:581] : INFO : Epoch 95 | loss: 0.0528945 | val_loss: 0.0533446 | Time: 3085.54 ms [2020-11-26 16:00:42 main:581] : INFO : Epoch 96 | loss: 0.0531628 | val_loss: 0.0535399 | Time: 3092.85 ms [2020-11-26 16:00:45 main:581] : INFO : Epoch 97 | loss: 0.0532773 | val_loss: 0.053586 | Time: 3078.96 ms [2020-11-26 16:00:48 main:581] : INFO : Epoch 98 | loss: 0.0536183 | val_loss: 0.054008 | Time: 2976.47 ms [2020-11-26 16:00:51 main:581] : INFO : Epoch 99 | loss: 0.0536436 | val_loss: 0.0536152 | Time: 3072.45 ms [2020-11-26 16:00:54 main:581] : INFO : Epoch 100 | loss: 0.053846 | val_loss: 0.0541946 | Time: 3046.12 ms [2020-11-26 16:00:57 main:581] : INFO : Epoch 101 | loss: 0.054007 | val_loss: 0.0541641 | Time: 2936.87 ms [2020-11-26 16:01:00 main:581] : INFO : Epoch 102 | loss: 0.0541156 | val_loss: 0.0542411 | Time: 3230.45 ms [2020-11-26 16:01:03 main:581] : INFO : Epoch 103 | loss: 0.0542013 | val_loss: 0.0542562 | Time: 2985.44 ms [2020-11-26 16:01:06 main:581] : INFO : Epoch 104 | loss: 0.0542126 | val_loss: 0.0543166 | Time: 3024.06 ms [2020-11-26 16:01:09 main:581] : INFO : Epoch 105 | loss: 0.0543882 | val_loss: 0.0544605 | Time: 3011.8 ms [2020-11-26 16:01:12 main:581] : INFO : Epoch 106 | loss: 0.054394 | val_loss: 0.054476 | Time: 3038.19 ms [2020-11-26 16:01:15 main:581] : INFO : Epoch 107 | loss: 0.0543317 | val_loss: 0.054427 | Time: 2976.16 ms [2020-11-26 16:01:18 main:581] : INFO : Epoch 108 | loss: 0.0543441 | val_loss: 0.0544967 | Time: 2990.87 ms [2020-11-26 16:01:21 main:581] : INFO : Epoch 109 | loss: 0.0544321 | val_loss: 0.0544446 | Time: 3039.84 ms [2020-11-26 16:01:25 main:581] : INFO : Epoch 110 | loss: 0.0543847 | val_loss: 0.0545071 | Time: 3154.84 ms [2020-11-26 16:01:28 main:581] : INFO : Epoch 111 | loss: 0.0547808 | val_loss: 0.0550452 | Time: 3018.67 ms [2020-11-26 16:01:31 main:581] : INFO : Epoch 112 | loss: 0.0548971 | val_loss: 0.0550317 | Time: 3112.43 ms [2020-11-26 16:01:34 main:581] : INFO : Epoch 113 | loss: 0.0551627 | val_loss: 0.0556114 | Time: 3039.47 ms [2020-11-26 16:01:37 main:581] : INFO : Epoch 114 | loss: 0.0554599 | val_loss: 0.0555833 | Time: 3146.09 ms [2020-11-26 16:01:40 main:581] : INFO : Epoch 115 | loss: 0.0554708 | val_loss: 0.0556795 | Time: 3258.78 ms [2020-11-26 16:01:43 main:581] : INFO : Epoch 116 | loss: 0.0555556 | val_loss: 0.0557069 | Time: 3125.76 ms [2020-11-26 16:01:46 main:581] : INFO : Epoch 117 | loss: 0.0555466 | val_loss: 0.0557151 | Time: 3034.52 ms [2020-11-26 16:01:50 main:581] : INFO : Epoch 118 | loss: 0.0555534 | val_loss: 0.0556811 | Time: 3249.23 ms [2020-11-26 16:01:53 main:581] : INFO : Epoch 119 | loss: 0.0555526 | val_loss: 0.0556699 | Time: 3109.8 ms [2020-11-26 16:01:56 main:581] : INFO : Epoch 120 | loss: 0.0555328 | val_loss: 0.0556866 | Time: 2982.24 ms [2020-11-26 16:01:59 main:581] : INFO : Epoch 121 | loss: 0.0554878 | val_loss: 0.0556254 | Time: 3087.25 ms [2020-11-26 16:02:02 main:581] : INFO : Epoch 122 | loss: 0.0554665 | val_loss: 0.0556254 | Time: 3067.33 ms [2020-11-26 16:02:05 main:581] : INFO : Epoch 123 | loss: 0.0554375 | val_loss: 0.0555748 | Time: 2988.88 ms [2020-11-26 16:02:08 main:581] : INFO : Epoch 124 | loss: 0.0553658 | val_loss: 0.055515 | Time: 2967.47 ms [2020-11-26 16:02:11 main:581] : INFO : Epoch 125 | loss: 0.0552939 | val_loss: 0.0554634 | Time: 2967.48 ms [2020-11-26 16:02:14 main:581] : INFO : Epoch 126 | loss: 0.0552927 | val_loss: 0.0554687 | Time: 3371.11 ms [2020-11-26 16:02:17 main:581] : INFO : Epoch 127 | loss: 0.0552904 | val_loss: 0.0553378 | Time: 3115.17 ms [2020-11-26 16:02:20 main:581] : INFO : Epoch 128 | loss: 0.0551366 | val_loss: 0.0552581 | Time: 3002.9 ms [2020-11-26 16:02:23 main:581] : INFO : Epoch 129 | loss: 0.0551062 | val_loss: 0.0551883 | Time: 3216.74 ms [2020-11-26 16:02:27 main:581] : INFO : Epoch 130 | loss: 0.0550019 | val_loss: 0.0551272 | Time: 3107.92 ms [2020-11-26 16:02:30 main:581] : INFO : Epoch 131 | loss: 0.0548922 | val_loss: 0.0550268 | Time: 3207.85 ms [2020-11-26 16:02:33 main:581] : INFO : Epoch 132 | loss: 0.0549096 | val_loss: 0.0551571 | Time: 3057.01 ms [2020-11-26 16:02:36 main:581] : INFO : Epoch 133 | loss: 0.0551417 | val_loss: 0.0552395 | Time: 2971.46 ms [2020-11-26 16:02:39 main:581] : INFO : Epoch 134 | loss: 0.0550825 | val_loss: 0.0551323 | Time: 2971.27 ms [2020-11-26 16:02:42 main:581] : INFO : Epoch 135 | loss: 0.0551 | val_loss: 0.0550568 | Time: 3107.6 ms [2020-11-26 16:02:45 main:581] : INFO : Epoch 136 | loss: 0.055076 | val_loss: 0.0554244 | Time: 2972.33 ms [2020-11-26 16:02:48 main:581] : INFO : Epoch 137 | loss: 0.0552391 | val_loss: 0.0554402 | Time: 3048.71 ms [2020-11-26 16:02:51 main:581] : INFO : Epoch 138 | loss: 0.0553397 | val_loss: 0.0555336 | Time: 2944.36 ms [2020-11-26 16:02:54 main:581] : INFO : Epoch 139 | loss: 0.0553448 | val_loss: 0.0555316 | Time: 3031.21 ms [2020-11-26 16:02:57 main:581] : INFO : Epoch 140 | loss: 0.0552799 | val_loss: 0.0554043 | Time: 3195.73 ms [2020-11-26 16:03:00 main:581] : INFO : Epoch 141 | loss: 0.0552687 | val_loss: 0.0554117 | Time: 3125.93 ms [2020-11-26 16:03:03 main:581] : INFO : Epoch 142 | loss: 0.0552403 | val_loss: 0.0554156 | Time: 3042.75 ms [2020-11-26 16:03:06 main:581] : INFO : Epoch 143 | loss: 0.0552569 | val_loss: 0.0554436 | Time: 2995.76 ms [2020-11-26 16:03:09 main:581] : INFO : Epoch 144 | loss: 0.0552572 | val_loss: 0.0553649 | Time: 2993.03 ms [2020-11-26 16:03:12 main:581] : INFO : Epoch 145 | loss: 0.0552223 | val_loss: 0.0553547 | Time: 3095.37 ms [2020-11-26 16:03:15 main:581] : INFO : Epoch 146 | loss: 0.0552331 | val_loss: 0.0554892 | Time: 3207.13 ms [2020-11-26 16:03:19 main:581] : INFO : Epoch 147 | loss: 0.0553738 | val_loss: 0.0556042 | Time: 3017.64 ms [2020-11-26 16:03:22 main:581] : INFO : Epoch 148 | loss: 0.0555209 | val_loss: 0.0556416 | Time: 2989.86 ms [2020-11-26 16:03:24 main:581] : INFO : Epoch 149 | loss: 0.0555252 | val_loss: 0.0556505 | Time: 2983.41 ms [2020-11-26 16:03:27 main:581] : INFO : Epoch 150 | loss: 0.0555602 | val_loss: 0.0556655 | Time: 2971.42 ms [2020-11-26 16:03:30 main:581] : INFO : Epoch 151 | loss: 0.0555368 | val_loss: 0.0556126 | Time: 2991.16 ms [2020-11-26 16:03:33 main:581] : INFO : Epoch 152 | loss: 0.0555089 | val_loss: 0.0556003 | Time: 2979.09 ms [2020-11-26 16:03:36 main:581] : INFO : Epoch 153 | loss: 0.0555287 | val_loss: 0.0556178 | Time: 3059.8 ms [2020-11-26 16:03:39 main:581] : INFO : Epoch 154 | loss: 0.0554599 | val_loss: 0.0555333 | Time: 2969.18 ms [2020-11-26 16:03:43 main:581] : INFO : Epoch 155 | loss: 0.0554417 | val_loss: 0.0555582 | Time: 3066.09 ms [2020-11-26 16:03:46 main:581] : INFO : Epoch 156 | loss: 0.0555234 | val_loss: 0.055605 | Time: 3027.8 ms [2020-11-26 16:03:49 main:581] : INFO : Epoch 157 | loss: 0.0554728 | val_loss: 0.0555373 | Time: 3039.51 ms [2020-11-26 16:03:52 main:581] : INFO : Epoch 158 | loss: 0.0554162 | val_loss: 0.0555475 | Time: 3095.96 ms [2020-11-26 16:03:55 main:581] : INFO : Epoch 159 | loss: 0.0556144 | val_loss: 0.0560483 | Time: 2998.99 ms [2020-11-26 16:03:58 main:581] : INFO : Epoch 160 | loss: 0.0559095 | val_loss: 0.0559818 | Time: 3129.26 ms [2020-11-26 16:04:01 main:581] : INFO : Epoch 161 | loss: 0.055848 | val_loss: 0.0559449 | Time: 3148.33 ms [2020-11-26 16:04:04 main:581] : INFO : Epoch 162 | loss: 0.0558352 | val_loss: 0.0558924 | Time: 2968.71 ms [2020-11-26 16:04:07 main:581] : INFO : Epoch 163 | loss: 0.0557294 | val_loss: 0.0557842 | Time: 2974.01 ms [2020-11-26 16:04:10 main:581] : INFO : Epoch 164 | loss: 0.0555979 | val_loss: 0.0556102 | Time: 2983.35 ms [2020-11-26 16:04:13 main:581] : INFO : Epoch 165 | loss: 0.0555455 | val_loss: 0.0555654 | Time: 3117 ms [2020-11-26 16:04:16 main:581] : INFO : Epoch 166 | loss: 0.0555792 | val_loss: 0.0556642 | Time: 2948.26 ms [2020-11-26 16:04:19 main:581] : INFO : Epoch 167 | loss: 0.0556833 | val_loss: 0.0558644 | Time: 2969.82 ms [2020-11-26 16:04:22 main:581] : INFO : Epoch 168 | loss: 0.0559915 | val_loss: 0.0563918 | Time: 3092.99 ms [2020-11-26 16:04:25 main:581] : INFO : Epoch 169 | loss: 0.0562796 | val_loss: 0.0563752 | Time: 3096.69 ms [2020-11-26 16:04:28 main:581] : INFO : Epoch 170 | loss: 0.0562359 | val_loss: 0.0563217 | Time: 3106.19 ms [2020-11-26 16:04:31 main:581] : INFO : Epoch 171 | loss: 0.0561743 | val_loss: 0.0562706 | Time: 3037.02 ms [2020-11-26 16:04:35 main:581] : INFO : Epoch 172 | loss: 0.056116 | val_loss: 0.0562226 | Time: 3261.31 ms [2020-11-26 16:04:38 main:581] : INFO : Epoch 173 | loss: 0.0560575 | val_loss: 0.0561771 | Time: 3013.74 ms [2020-11-26 16:04:41 main:581] : INFO : Epoch 174 | loss: 0.0560241 | val_loss: 0.0561173 | Time: 3016.46 ms [2020-11-26 16:04:44 main:581] : INFO : Epoch 175 | loss: 0.0559563 | val_loss: 0.0560723 | Time: 3029.79 ms [2020-11-26 16:04:47 main:581] : INFO : Epoch 176 | loss: 0.0559093 | val_loss: 0.0560379 | Time: 2960.7 ms [2020-11-26 16:04:50 main:581] : INFO : Epoch 177 | loss: 0.0558429 | val_loss: 0.0559626 | Time: 2982.44 ms [2020-11-26 16:04:53 main:581] : INFO : Epoch 178 | loss: 0.0557793 | val_loss: 0.0558899 | Time: 2973.89 ms [2020-11-26 16:04:56 main:581] : INFO : Epoch 179 | loss: 0.0557252 | val_loss: 0.0558179 | Time: 3107.46 ms [2020-11-26 16:04:59 main:581] : INFO : Epoch 180 | loss: 0.0557321 | val_loss: 0.0557485 | Time: 3132.84 ms [2020-11-26 16:05:02 main:581] : INFO : Epoch 181 | loss: 0.0556517 | val_loss: 0.0557077 | Time: 3091.55 ms [2020-11-26 16:05:05 main:581] : INFO : Epoch 182 | loss: 0.0555121 | val_loss: 0.0554928 | Time: 2999.03 ms [2020-11-26 16:05:08 main:581] : INFO : Epoch 183 | loss: 0.0553944 | val_loss: 0.0554497 | Time: 3022.08 ms [2020-11-26 16:05:11 main:581] : INFO : Epoch 184 | loss: 0.0552996 | val_loss: 0.055334 | Time: 3028.31 ms [2020-11-26 16:05:14 main:581] : INFO : Epoch 185 | loss: 0.0551823 | val_loss: 0.0552512 | Time: 2967.81 ms [2020-11-26 16:05:17 main:581] : INFO : Epoch 186 | loss: 0.0551175 | val_loss: 0.0552983 | Time: 3052.77 ms [2020-11-26 16:05:20 main:581] : INFO : Epoch 187 | loss: 0.0551216 | val_loss: 0.0551792 | Time: 3074.3 ms [2020-11-26 16:05:23 main:581] : INFO : Epoch 188 | loss: 0.0549954 | val_loss: 0.0550995 | Time: 3204.07 ms [2020-11-26 16:05:26 main:581] : INFO : Epoch 189 | loss: 0.0548972 | val_loss: 0.0550574 | Time: 3086.5 ms [2020-11-26 16:05:29 main:581] : INFO : Epoch 190 | loss: 0.0548055 | val_loss: 0.0549682 | Time: 3053.97 ms [2020-11-26 16:05:32 main:581] : INFO : Epoch 191 | loss: 0.0546397 | val_loss: 0.0546656 | Time: 3103.83 ms [2020-11-26 16:05:36 main:581] : INFO : Epoch 192 | loss: 0.054429 | val_loss: 0.0546285 | Time: 3297.86 ms [2020-11-26 16:05:36 main:604] : INFO : Saving trained model to model-final.pt, val_loss 0.0546285 [2020-11-26 16:05:36 main:610] : INFO : Saving end state to config to file [2020-11-26 16:05:36 main:615] : INFO : Success, exiting.. 16:05:36 (15283): 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)