Task 3074978
| Name | rand_automata_0025-1606117988-22454-92_0 |
| Workunit | 1403235 |
| Created | 26 Nov 2020, 20:55:50 UTC |
| Sent | 26 Nov 2020, 21:05:47 UTC |
| Report deadline | 3 Dec 2020, 21:05:47 UTC |
| Received | 26 Nov 2020, 21:16:10 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 52 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 | 2.19 GB |
| Peak swap size | 9.99 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 16:06:05 main:442] : INFO : Set logging level to 1 [2020-11-26 16:06:05 main:448] : INFO : Running in BOINC Client mode [2020-11-26 16:06:05 main:451] : INFO : Resolving all filenames [2020-11-26 16:06:05 main:459] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-train-val-dataset.hdf5 (exists = 1) [2020-11-26 16:06:05 main:459] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-1606117988-22454-92_0_r845100061_1 (exists = 0) [2020-11-26 16:06:05 main:459] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-1606117988-22454-92_0_r845100061_0 (exists = 0) [2020-11-26 16:06:05 main:459] : INFO : Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-1606117988-22454-92 (exists = 1) [2020-11-26 16:06:05 main:459] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-26 16:06:05 main:479] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-train-val-dataset.hdf5 [2020-11-26 16:06:05 main:481] : INFO : Configuration: [2020-11-26 16:06:05 main:482] : INFO : Model type: LSTM [2020-11-26 16:06:05 main:483] : INFO : Validation Loss Threshold: 0.0001 [2020-11-26 16:06:05 main:484] : INFO : Max Epochs: 192 [2020-11-26 16:06:05 main:485] : INFO : Batch Size: 32 [2020-11-26 16:06:05 main:486] : INFO : Learning Rate: 0.001 [2020-11-26 16:06:05 main:487] : INFO : Patience: 10 [2020-11-26 16:06:05 main:488] : INFO : Hidden Width: 64 [2020-11-26 16:06:05 main:489] : INFO : # Recurrent Layers: 4 [2020-11-26 16:06:05 main:490] : INFO : # Backend Layers: 2 [2020-11-26 16:06:05 main:491] : INFO : # Threads: 1 [2020-11-26 16:06:05 main:493] : INFO : Preparing Dataset [2020-11-26 16:06:05 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 16:06:05 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 16:06:07 load:106] : INFO : Successfully loaded dataset of 4096 examples into memory. [2020-11-26 16:06:07 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 16:06:07 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 16:06:07 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-26 16:06:07 main:501] : INFO : Creating Model [2020-11-26 16:06:07 main:514] : INFO : Preparing config file [2020-11-26 16:06:07 main:526] : INFO : Creating new config file [2020-11-26 16:06:07 main:545] : INFO : This is a continuation WU, loading previous network [2020-11-26 16:06:07 main:566] : INFO : Loading DataLoader into Memory [2020-11-26 16:06:07 main:569] : INFO : Starting Training [2020-11-26 16:06:11 main:581] : INFO : Epoch 1 | loss: 0.0551605 | val_loss: 0.0549447 | Time: 3546.05 ms [2020-11-26 16:06:14 main:581] : INFO : Epoch 2 | loss: 0.0546981 | val_loss: 0.0546065 | Time: 2998.22 ms [2020-11-26 16:06:17 main:581] : INFO : Epoch 3 | loss: 0.0542206 | val_loss: 0.0540419 | Time: 3022.91 ms [2020-11-26 16:06:20 main:581] : INFO : Epoch 4 | loss: 0.0537334 | val_loss: 0.0537286 | Time: 3043.92 ms [2020-11-26 16:06:23 main:581] : INFO : Epoch 5 | loss: 0.0534795 | val_loss: 0.053529 | Time: 3028.17 ms [2020-11-26 16:06:26 main:581] : INFO : Epoch 6 | loss: 0.0533738 | val_loss: 0.0534764 | Time: 3030 ms [2020-11-26 16:06:29 main:581] : INFO : Epoch 7 | loss: 0.0531122 | val_loss: 0.0533622 | Time: 3100.53 ms [2020-11-26 16:06:32 main:581] : INFO : Epoch 8 | loss: 0.0530005 | val_loss: 0.0530723 | Time: 3088.35 ms [2020-11-26 16:06:35 main:581] : INFO : Epoch 9 | loss: 0.052798 | val_loss: 0.0529306 | Time: 3031.38 ms [2020-11-26 16:06:38 main:581] : INFO : Epoch 10 | loss: 0.0525859 | val_loss: 0.0527325 | Time: 3021.8 ms [2020-11-26 16:06:41 main:581] : INFO : Epoch 11 | loss: 0.052286 | val_loss: 0.0521644 | Time: 3012.57 ms [2020-11-26 16:06:44 main:581] : INFO : Epoch 12 | loss: 0.0516002 | val_loss: 0.0520954 | Time: 3054.6 ms [2020-11-26 16:06:47 main:581] : INFO : Epoch 13 | loss: 0.0526349 | val_loss: 0.0530833 | Time: 3025.01 ms [2020-11-26 16:06:50 main:581] : INFO : Epoch 14 | loss: 0.0527147 | val_loss: 0.052893 | Time: 3065.17 ms [2020-11-26 16:06:54 main:581] : INFO : Epoch 15 | loss: 0.052785 | val_loss: 0.0539507 | Time: 3299.89 ms [2020-11-26 16:06:57 main:581] : INFO : Epoch 16 | loss: 0.0537257 | val_loss: 0.0539037 | Time: 3039.31 ms [2020-11-26 16:07:00 main:581] : INFO : Epoch 17 | loss: 0.0536262 | val_loss: 0.0537802 | Time: 3099.27 ms [2020-11-26 16:07:03 main:581] : INFO : Epoch 18 | loss: 0.0535454 | val_loss: 0.0536684 | Time: 3043.3 ms [2020-11-26 16:07:06 main:581] : INFO : Epoch 19 | loss: 0.0535919 | val_loss: 0.0537982 | Time: 3104.19 ms [2020-11-26 16:07:09 main:581] : INFO : Epoch 20 | loss: 0.0537722 | val_loss: 0.0545842 | Time: 3096.57 ms [2020-11-26 16:07:12 main:581] : INFO : Epoch 21 | loss: 0.0545394 | val_loss: 0.0544764 | Time: 2990.54 ms [2020-11-26 16:07:15 main:581] : INFO : Epoch 22 | loss: 0.0547315 | val_loss: 0.0547876 | Time: 3032.27 ms [2020-11-26 16:07:18 main:581] : INFO : Epoch 23 | loss: 0.0547188 | val_loss: 0.0546593 | Time: 3149.51 ms [2020-11-26 16:07:21 main:581] : INFO : Epoch 24 | loss: 0.0546573 | val_loss: 0.0551822 | Time: 3180.15 ms [2020-11-26 16:07:24 main:581] : INFO : Epoch 25 | loss: 0.0553249 | val_loss: 0.0552959 | Time: 3101.77 ms [2020-11-26 16:07:28 main:581] : INFO : Epoch 26 | loss: 0.0553095 | val_loss: 0.0552991 | Time: 3187.46 ms [2020-11-26 16:07:31 main:581] : INFO : Epoch 27 | loss: 0.0554008 | val_loss: 0.0555791 | Time: 3081.35 ms [2020-11-26 16:07:34 main:581] : INFO : Epoch 28 | loss: 0.0556418 | val_loss: 0.055629 | Time: 3028.02 ms [2020-11-26 16:07:37 main:581] : INFO : Epoch 29 | loss: 0.0556423 | val_loss: 0.0556866 | Time: 3052.06 ms [2020-11-26 16:07:40 main:581] : INFO : Epoch 30 | loss: 0.0557734 | val_loss: 0.0560786 | Time: 2986.89 ms [2020-11-26 16:07:43 main:581] : INFO : Epoch 31 | loss: 0.0559949 | val_loss: 0.0559623 | Time: 2991.49 ms [2020-11-26 16:07:46 main:581] : INFO : Epoch 32 | loss: 0.0558639 | val_loss: 0.0558398 | Time: 3039.09 ms [2020-11-26 16:07:49 main:581] : INFO : Epoch 33 | loss: 0.0557434 | val_loss: 0.0557589 | Time: 3040.29 ms [2020-11-26 16:07:52 main:581] : INFO : Epoch 34 | loss: 0.0557119 | val_loss: 0.0557467 | Time: 3079.71 ms [2020-11-26 16:07:55 main:581] : INFO : Epoch 35 | loss: 0.055671 | val_loss: 0.0557025 | Time: 3067.92 ms [2020-11-26 16:07:58 main:581] : INFO : Epoch 36 | loss: 0.0555363 | val_loss: 0.0555791 | Time: 2990.39 ms [2020-11-26 16:08:01 main:581] : INFO : Epoch 37 | loss: 0.0553579 | val_loss: 0.0553969 | Time: 3107.36 ms [2020-11-26 16:08:04 main:581] : INFO : Epoch 38 | loss: 0.0551996 | val_loss: 0.0552531 | Time: 3093.91 ms [2020-11-26 16:08:07 main:581] : INFO : Epoch 39 | loss: 0.055048 | val_loss: 0.0551876 | Time: 2981.15 ms [2020-11-26 16:08:10 main:581] : INFO : Epoch 40 | loss: 0.0549693 | val_loss: 0.0550987 | Time: 3011.63 ms [2020-11-26 16:08:13 main:581] : INFO : Epoch 41 | loss: 0.0550663 | val_loss: 0.0553139 | Time: 3064.03 ms [2020-11-26 16:08:16 main:581] : INFO : Epoch 42 | loss: 0.0551722 | val_loss: 0.0553025 | Time: 3025.59 ms [2020-11-26 16:08:19 main:581] : INFO : Epoch 43 | loss: 0.055092 | val_loss: 0.0552684 | Time: 3085.85 ms [2020-11-26 16:08:22 main:581] : INFO : Epoch 44 | loss: 0.0549751 | val_loss: 0.0551057 | Time: 3024.58 ms [2020-11-26 16:08:25 main:581] : INFO : Epoch 45 | loss: 0.0548477 | val_loss: 0.0550303 | Time: 3081.33 ms [2020-11-26 16:08:28 main:581] : INFO : Epoch 46 | loss: 0.054702 | val_loss: 0.054884 | Time: 3094.9 ms [2020-11-26 16:08:32 main:581] : INFO : Epoch 47 | loss: 0.0546578 | val_loss: 0.0549537 | Time: 3144.31 ms [2020-11-26 16:08:35 main:581] : INFO : Epoch 48 | loss: 0.0548625 | val_loss: 0.0549944 | Time: 3041.9 ms [2020-11-26 16:08:38 main:581] : INFO : Epoch 49 | loss: 0.0548166 | val_loss: 0.0549439 | Time: 3228.17 ms [2020-11-26 16:08:41 main:581] : INFO : Epoch 50 | loss: 0.0547092 | val_loss: 0.0548207 | Time: 3082.77 ms [2020-11-26 16:08:44 main:581] : INFO : Epoch 51 | loss: 0.05451 | val_loss: 0.0546494 | Time: 3056.8 ms [2020-11-26 16:08:47 main:581] : INFO : Epoch 52 | loss: 0.0543328 | val_loss: 0.0544391 | Time: 3030.88 ms [2020-11-26 16:08:50 main:581] : INFO : Epoch 53 | loss: 0.0541786 | val_loss: 0.0542874 | Time: 3078.96 ms [2020-11-26 16:08:53 main:581] : INFO : Epoch 54 | loss: 0.0540179 | val_loss: 0.0540944 | Time: 2998.52 ms [2020-11-26 16:08:56 main:581] : INFO : Epoch 55 | loss: 0.053817 | val_loss: 0.0539731 | Time: 3037.58 ms [2020-11-26 16:08:59 main:581] : INFO : Epoch 56 | loss: 0.0536703 | val_loss: 0.0537098 | Time: 3001.54 ms [2020-11-26 16:09:02 main:581] : INFO : Epoch 57 | loss: 0.0534539 | val_loss: 0.0536043 | Time: 3039.46 ms [2020-11-26 16:09:05 main:581] : INFO : Epoch 58 | loss: 0.053315 | val_loss: 0.0533898 | Time: 3106.84 ms [2020-11-26 16:09:08 main:581] : INFO : Epoch 59 | loss: 0.0530649 | val_loss: 0.0532387 | Time: 3022.01 ms [2020-11-26 16:09:11 main:581] : INFO : Epoch 60 | loss: 0.0528228 | val_loss: 0.0529056 | Time: 3048.02 ms [2020-11-26 16:09:14 main:581] : INFO : Epoch 61 | loss: 0.0526251 | val_loss: 0.0528047 | Time: 3030.18 ms [2020-11-26 16:09:17 main:581] : INFO : Epoch 62 | loss: 0.0524279 | val_loss: 0.0525359 | Time: 3063.13 ms [2020-11-26 16:09:21 main:581] : INFO : Epoch 63 | loss: 0.0524817 | val_loss: 0.0524806 | Time: 3038.25 ms [2020-11-26 16:09:24 main:581] : INFO : Epoch 64 | loss: 0.0524305 | val_loss: 0.05242 | Time: 3111.82 ms [2020-11-26 16:09:27 main:581] : INFO : Epoch 65 | loss: 0.0521387 | val_loss: 0.0521429 | Time: 3073.13 ms [2020-11-26 16:09:30 main:581] : INFO : Epoch 66 | loss: 0.0518478 | val_loss: 0.0520108 | Time: 3102.38 ms [2020-11-26 16:09:33 main:581] : INFO : Epoch 67 | loss: 0.0516363 | val_loss: 0.0517337 | Time: 2970.06 ms [2020-11-26 16:09:36 main:581] : INFO : Epoch 68 | loss: 0.0516806 | val_loss: 0.0517981 | Time: 3369.39 ms [2020-11-26 16:09:39 main:581] : INFO : Epoch 69 | loss: 0.0530901 | val_loss: 0.053139 | Time: 3182.06 ms [2020-11-26 16:09:42 main:581] : INFO : Epoch 70 | loss: 0.0530684 | val_loss: 0.0530694 | Time: 3035.83 ms [2020-11-26 16:09:45 main:581] : INFO : Epoch 71 | loss: 0.0529468 | val_loss: 0.0529232 | Time: 3051.54 ms [2020-11-26 16:09:48 main:581] : INFO : Epoch 72 | loss: 0.052775 | val_loss: 0.0527235 | Time: 3038.03 ms [2020-11-26 16:09:51 main:581] : INFO : Epoch 73 | loss: 0.0528206 | val_loss: 0.0528062 | Time: 3006.59 ms [2020-11-26 16:09:55 main:581] : INFO : Epoch 74 | loss: 0.0527762 | val_loss: 0.0527252 | Time: 3091 ms [2020-11-26 16:09:58 main:581] : INFO : Epoch 75 | loss: 0.0526218 | val_loss: 0.0525054 | Time: 3300.75 ms [2020-11-26 16:10:01 main:581] : INFO : Epoch 76 | loss: 0.0524396 | val_loss: 0.0524569 | Time: 3049.06 ms [2020-11-26 16:10:04 main:581] : INFO : Epoch 77 | loss: 0.0523004 | val_loss: 0.0524226 | Time: 3140.17 ms [2020-11-26 16:10:07 main:581] : INFO : Epoch 78 | loss: 0.0521754 | val_loss: 0.052274 | Time: 3011.2 ms [2020-11-26 16:10:10 main:581] : INFO : Epoch 79 | loss: 0.0520393 | val_loss: 0.052153 | Time: 3026 ms [2020-11-26 16:10:13 main:581] : INFO : Epoch 80 | loss: 0.0520988 | val_loss: 0.0522706 | Time: 3127.06 ms [2020-11-26 16:10:16 main:581] : INFO : Epoch 81 | loss: 0.0521127 | val_loss: 0.052177 | Time: 3053.94 ms [2020-11-26 16:10:19 main:581] : INFO : Epoch 82 | loss: 0.0520757 | val_loss: 0.0523671 | Time: 3179.11 ms [2020-11-26 16:10:23 main:581] : INFO : Epoch 83 | loss: 0.0521978 | val_loss: 0.0522349 | Time: 3072.32 ms [2020-11-26 16:10:26 main:581] : INFO : Epoch 84 | loss: 0.0520642 | val_loss: 0.0521351 | Time: 3080.57 ms [2020-11-26 16:10:29 main:581] : INFO : Epoch 85 | loss: 0.0520409 | val_loss: 0.0522252 | Time: 3042.28 ms [2020-11-26 16:10:32 main:581] : INFO : Epoch 86 | loss: 0.0521054 | val_loss: 0.052213 | Time: 3137.39 ms [2020-11-26 16:10:35 main:581] : INFO : Epoch 87 | loss: 0.05197 | val_loss: 0.0521254 | Time: 3044.32 ms [2020-11-26 16:10:38 main:581] : INFO : Epoch 88 | loss: 0.0519757 | val_loss: 0.0522661 | Time: 3094.69 ms [2020-11-26 16:10:41 main:581] : INFO : Epoch 89 | loss: 0.0519078 | val_loss: 0.0520234 | Time: 3020.99 ms [2020-11-26 16:10:44 main:581] : INFO : Epoch 90 | loss: 0.052967 | val_loss: 0.0533259 | Time: 3076.9 ms [2020-11-26 16:10:47 main:581] : INFO : Epoch 91 | loss: 0.0533884 | val_loss: 0.0535981 | Time: 3069 ms [2020-11-26 16:10:50 main:581] : INFO : Epoch 92 | loss: 0.0534542 | val_loss: 0.0534498 | Time: 3107.97 ms [2020-11-26 16:10:53 main:581] : INFO : Epoch 93 | loss: 0.0534626 | val_loss: 0.0534325 | Time: 3062.67 ms [2020-11-26 16:10:56 main:581] : INFO : Epoch 94 | loss: 0.0535191 | val_loss: 0.0537819 | Time: 3041.97 ms [2020-11-26 16:10:59 main:581] : INFO : Epoch 95 | loss: 0.0538916 | val_loss: 0.0538901 | Time: 3101.17 ms [2020-11-26 16:11:02 main:581] : INFO : Epoch 96 | loss: 0.0539182 | val_loss: 0.0538717 | Time: 3037.48 ms [2020-11-26 16:11:05 main:581] : INFO : Epoch 97 | loss: 0.0549717 | val_loss: 0.0553147 | Time: 3046.65 ms [2020-11-26 16:11:09 main:581] : INFO : Epoch 98 | loss: 0.0552622 | val_loss: 0.055324 | Time: 3122.77 ms [2020-11-26 16:11:12 main:581] : INFO : Epoch 99 | loss: 0.0553841 | val_loss: 0.0556923 | Time: 3069.55 ms [2020-11-26 16:11:15 main:581] : INFO : Epoch 100 | loss: 0.055977 | val_loss: 0.0560036 | Time: 3023.35 ms [2020-11-26 16:11:18 main:581] : INFO : Epoch 101 | loss: 0.0561128 | val_loss: 0.0560736 | Time: 3281.97 ms [2020-11-26 16:11:21 main:581] : INFO : Epoch 102 | loss: 0.056072 | val_loss: 0.0559861 | Time: 3363.31 ms [2020-11-26 16:11:25 main:581] : INFO : Epoch 103 | loss: 0.0560564 | val_loss: 0.0560677 | Time: 3191.6 ms [2020-11-26 16:11:28 main:581] : INFO : Epoch 104 | loss: 0.0560264 | val_loss: 0.0559671 | Time: 3032.63 ms [2020-11-26 16:11:31 main:581] : INFO : Epoch 105 | loss: 0.0560058 | val_loss: 0.056172 | Time: 2993.72 ms [2020-11-26 16:11:34 main:581] : INFO : Epoch 106 | loss: 0.056298 | val_loss: 0.056367 | Time: 3054.03 ms [2020-11-26 16:11:37 main:581] : INFO : Epoch 107 | loss: 0.0563405 | val_loss: 0.056361 | Time: 3066.32 ms [2020-11-26 16:11:40 main:581] : INFO : Epoch 108 | loss: 0.0563167 | val_loss: 0.0562826 | Time: 3036.61 ms [2020-11-26 16:11:43 main:581] : INFO : Epoch 109 | loss: 0.0562115 | val_loss: 0.0561499 | Time: 3027.21 ms [2020-11-26 16:11:46 main:581] : INFO : Epoch 110 | loss: 0.056126 | val_loss: 0.0560327 | Time: 3057.35 ms [2020-11-26 16:11:49 main:581] : INFO : Epoch 111 | loss: 0.0562179 | val_loss: 0.0565684 | Time: 3006.48 ms [2020-11-26 16:11:52 main:581] : INFO : Epoch 112 | loss: 0.0566729 | val_loss: 0.0566102 | Time: 2978.07 ms [2020-11-26 16:11:55 main:581] : INFO : Epoch 113 | loss: 0.0566176 | val_loss: 0.0565892 | Time: 3037.96 ms [2020-11-26 16:11:58 main:581] : INFO : Epoch 114 | loss: 0.0566158 | val_loss: 0.0566174 | Time: 3170.53 ms [2020-11-26 16:12:01 main:581] : INFO : Epoch 115 | loss: 0.0566332 | val_loss: 0.0565841 | Time: 3129.27 ms [2020-11-26 16:12:04 main:581] : INFO : Epoch 116 | loss: 0.0565767 | val_loss: 0.056558 | Time: 3070.67 ms [2020-11-26 16:12:07 main:581] : INFO : Epoch 117 | loss: 0.0565531 | val_loss: 0.0565333 | Time: 3134.26 ms [2020-11-26 16:12:10 main:581] : INFO : Epoch 118 | loss: 0.0565414 | val_loss: 0.0565647 | Time: 3013.5 ms [2020-11-26 16:12:13 main:581] : INFO : Epoch 119 | loss: 0.05656 | val_loss: 0.0566832 | Time: 3106.96 ms [2020-11-26 16:12:17 main:581] : INFO : Epoch 120 | loss: 0.0567175 | val_loss: 0.0570202 | Time: 3053.86 ms [2020-11-26 16:12:20 main:581] : INFO : Epoch 121 | loss: 0.0570177 | val_loss: 0.0570876 | Time: 3108.67 ms [2020-11-26 16:12:23 main:581] : INFO : Epoch 122 | loss: 0.057024 | val_loss: 0.0570582 | Time: 3085.3 ms [2020-11-26 16:12:26 main:581] : INFO : Epoch 123 | loss: 0.0571639 | val_loss: 0.0572144 | Time: 3032.03 ms [2020-11-26 16:12:29 main:581] : INFO : Epoch 124 | loss: 0.05732 | val_loss: 0.0573979 | Time: 3172.16 ms [2020-11-26 16:12:32 main:581] : INFO : Epoch 125 | loss: 0.0574325 | val_loss: 0.0574539 | Time: 3052.4 ms [2020-11-26 16:12:35 main:581] : INFO : Epoch 126 | loss: 0.0573768 | val_loss: 0.0574082 | Time: 3233.81 ms [2020-11-26 16:12:38 main:581] : INFO : Epoch 127 | loss: 0.0572581 | val_loss: 0.0573528 | Time: 3035.59 ms [2020-11-26 16:12:41 main:581] : INFO : Epoch 128 | loss: 0.0571133 | val_loss: 0.0570372 | Time: 3066.96 ms [2020-11-26 16:12:44 main:581] : INFO : Epoch 129 | loss: 0.0570268 | val_loss: 0.0571228 | Time: 3053.76 ms [2020-11-26 16:12:47 main:581] : INFO : Epoch 130 | loss: 0.057181 | val_loss: 0.0573953 | Time: 3070.16 ms [2020-11-26 16:12:50 main:581] : INFO : Epoch 131 | loss: 0.0576134 | val_loss: 0.0577321 | Time: 3025.87 ms [2020-11-26 16:12:53 main:581] : INFO : Epoch 132 | loss: 0.0577126 | val_loss: 0.0578012 | Time: 3041.17 ms [2020-11-26 16:12:57 main:581] : INFO : Epoch 133 | loss: 0.0577911 | val_loss: 0.0579212 | Time: 3026.75 ms [2020-11-26 16:13:00 main:581] : INFO : Epoch 134 | loss: 0.0580573 | val_loss: 0.0586771 | Time: 3077.31 ms [2020-11-26 16:13:03 main:581] : INFO : Epoch 135 | loss: 0.0587121 | val_loss: 0.0592474 | Time: 3113.17 ms [2020-11-26 16:13:06 main:581] : INFO : Epoch 136 | loss: 0.0593657 | val_loss: 0.0595017 | Time: 3066.17 ms [2020-11-26 16:13:09 main:581] : INFO : Epoch 137 | loss: 0.059415 | val_loss: 0.059485 | Time: 3072.07 ms [2020-11-26 16:13:12 main:581] : INFO : Epoch 138 | loss: 0.0594092 | val_loss: 0.0594832 | Time: 3179.48 ms [2020-11-26 16:13:15 main:581] : INFO : Epoch 139 | loss: 0.0593978 | val_loss: 0.0594781 | Time: 3151.89 ms [2020-11-26 16:13:18 main:581] : INFO : Epoch 140 | loss: 0.059412 | val_loss: 0.0594896 | Time: 3006.12 ms [2020-11-26 16:13:21 main:581] : INFO : Epoch 141 | loss: 0.0594259 | val_loss: 0.059481 | Time: 3107.63 ms [2020-11-26 16:13:24 main:581] : INFO : Epoch 142 | loss: 0.0594119 | val_loss: 0.059472 | Time: 3103.79 ms [2020-11-26 16:13:27 main:581] : INFO : Epoch 143 | loss: 0.0594175 | val_loss: 0.0595072 | Time: 3010.09 ms [2020-11-26 16:13:30 main:581] : INFO : Epoch 144 | loss: 0.0594289 | val_loss: 0.0595147 | Time: 3055.88 ms [2020-11-26 16:13:33 main:581] : INFO : Epoch 145 | loss: 0.0594366 | val_loss: 0.0594864 | Time: 2973.98 ms [2020-11-26 16:13:36 main:581] : INFO : Epoch 146 | loss: 0.0594039 | val_loss: 0.0594755 | Time: 3026.95 ms [2020-11-26 16:13:40 main:581] : INFO : Epoch 147 | loss: 0.0594012 | val_loss: 0.0594602 | Time: 3035.48 ms [2020-11-26 16:13:42 main:581] : INFO : Epoch 148 | loss: 0.0594068 | val_loss: 0.059481 | Time: 2991.53 ms [2020-11-26 16:13:46 main:581] : INFO : Epoch 149 | loss: 0.0595375 | val_loss: 0.0596193 | Time: 3009.44 ms [2020-11-26 16:13:49 main:581] : INFO : Epoch 150 | loss: 0.0595542 | val_loss: 0.0596161 | Time: 3093.77 ms [2020-11-26 16:13:52 main:581] : INFO : Epoch 151 | loss: 0.0595475 | val_loss: 0.0596049 | Time: 3024.67 ms [2020-11-26 16:13:55 main:581] : INFO : Epoch 152 | loss: 0.0595615 | val_loss: 0.0596186 | Time: 2997.04 ms [2020-11-26 16:13:58 main:581] : INFO : Epoch 153 | loss: 0.0595636 | val_loss: 0.0596265 | Time: 3016.69 ms [2020-11-26 16:14:01 main:581] : INFO : Epoch 154 | loss: 0.0595483 | val_loss: 0.0596105 | Time: 3086.19 ms [2020-11-26 16:14:04 main:581] : INFO : Epoch 155 | loss: 0.0595271 | val_loss: 0.0595833 | Time: 3191.8 ms [2020-11-26 16:14:07 main:581] : INFO : Epoch 156 | loss: 0.0595278 | val_loss: 0.0595808 | Time: 3126.48 ms [2020-11-26 16:14:10 main:581] : INFO : Epoch 157 | loss: 0.0595305 | val_loss: 0.0595927 | Time: 3146.7 ms [2020-11-26 16:14:13 main:581] : INFO : Epoch 158 | loss: 0.0595333 | val_loss: 0.0595772 | Time: 3029.52 ms [2020-11-26 16:14:16 main:581] : INFO : Epoch 159 | loss: 0.0595008 | val_loss: 0.059511 | Time: 3077.08 ms [2020-11-26 16:14:20 main:581] : INFO : Epoch 160 | loss: 0.0594496 | val_loss: 0.059582 | Time: 3251.72 ms [2020-11-26 16:14:23 main:581] : INFO : Epoch 161 | loss: 0.0594752 | val_loss: 0.0595386 | Time: 3144.9 ms [2020-11-26 16:14:26 main:581] : INFO : Epoch 162 | loss: 0.0594834 | val_loss: 0.0595589 | Time: 3042.73 ms [2020-11-26 16:14:29 main:581] : INFO : Epoch 163 | loss: 0.0595094 | val_loss: 0.0596327 | Time: 3083.75 ms [2020-11-26 16:14:32 main:581] : INFO : Epoch 164 | loss: 0.0595581 | val_loss: 0.059605 | Time: 3049.71 ms [2020-11-26 16:14:35 main:581] : INFO : Epoch 165 | loss: 0.0595754 | val_loss: 0.0596201 | Time: 3298.79 ms [2020-11-26 16:14:38 main:581] : INFO : Epoch 166 | loss: 0.0596029 | val_loss: 0.059694 | Time: 3032.98 ms [2020-11-26 16:14:41 main:581] : INFO : Epoch 167 | loss: 0.0595841 | val_loss: 0.0595404 | Time: 3071.61 ms [2020-11-26 16:14:44 main:581] : INFO : Epoch 168 | loss: 0.0594744 | val_loss: 0.0595117 | Time: 3141.03 ms [2020-11-26 16:14:47 main:581] : INFO : Epoch 169 | loss: 0.0594652 | val_loss: 0.0595115 | Time: 3048.25 ms [2020-11-26 16:14:51 main:581] : INFO : Epoch 170 | loss: 0.0594608 | val_loss: 0.0595157 | Time: 3070.79 ms [2020-11-26 16:14:54 main:581] : INFO : Epoch 171 | loss: 0.0594652 | val_loss: 0.0595246 | Time: 3028.86 ms [2020-11-26 16:14:57 main:581] : INFO : Epoch 172 | loss: 0.0594761 | val_loss: 0.0595202 | Time: 3015.35 ms [2020-11-26 16:15:00 main:581] : INFO : Epoch 173 | loss: 0.0594754 | val_loss: 0.0595174 | Time: 3109.06 ms [2020-11-26 16:15:03 main:581] : INFO : Epoch 174 | loss: 0.059474 | val_loss: 0.0595193 | Time: 3342.35 ms [2020-11-26 16:15:06 main:581] : INFO : Epoch 175 | loss: 0.0594755 | val_loss: 0.0595183 | Time: 3088.87 ms [2020-11-26 16:15:09 main:581] : INFO : Epoch 176 | loss: 0.0594755 | val_loss: 0.0595258 | Time: 3008.39 ms [2020-11-26 16:15:12 main:581] : INFO : Epoch 177 | loss: 0.0594754 | val_loss: 0.0595229 | Time: 3097.03 ms [2020-11-26 16:15:15 main:581] : INFO : Epoch 178 | loss: 0.0594727 | val_loss: 0.0595175 | Time: 3195.05 ms [2020-11-26 16:15:19 main:581] : INFO : Epoch 179 | loss: 0.0594711 | val_loss: 0.0595117 | Time: 3179.96 ms [2020-11-26 16:15:22 main:581] : INFO : Epoch 180 | loss: 0.0594699 | val_loss: 0.0595108 | Time: 3070.91 ms [2020-11-26 16:15:25 main:581] : INFO : Epoch 181 | loss: 0.0594703 | val_loss: 0.0595114 | Time: 3006.28 ms [2020-11-26 16:15:28 main:581] : INFO : Epoch 182 | loss: 0.059469 | val_loss: 0.0595029 | Time: 3093.15 ms [2020-11-26 16:15:31 main:581] : INFO : Epoch 183 | loss: 0.0594671 | val_loss: 0.0595067 | Time: 3032.22 ms [2020-11-26 16:15:34 main:581] : INFO : Epoch 184 | loss: 0.0594675 | val_loss: 0.0595097 | Time: 3047.26 ms [2020-11-26 16:15:37 main:581] : INFO : Epoch 185 | loss: 0.0594674 | val_loss: 0.05951 | Time: 3181.18 ms [2020-11-26 16:15:40 main:581] : INFO : Epoch 186 | loss: 0.059465 | val_loss: 0.059511 | Time: 3080.25 ms [2020-11-26 16:15:43 main:581] : INFO : Epoch 187 | loss: 0.059464 | val_loss: 0.0595098 | Time: 3117.41 ms [2020-11-26 16:15:46 main:581] : INFO : Epoch 188 | loss: 0.0594666 | val_loss: 0.0595073 | Time: 3263.32 ms [2020-11-26 16:15:50 main:581] : INFO : Epoch 189 | loss: 0.0594637 | val_loss: 0.0595035 | Time: 3093.86 ms [2020-11-26 16:15:53 main:581] : INFO : Epoch 190 | loss: 0.0594644 | val_loss: 0.0595137 | Time: 3149.22 ms [2020-11-26 16:15:56 main:581] : INFO : Epoch 191 | loss: 0.0594617 | val_loss: 0.0595141 | Time: 3043.73 ms [2020-11-26 16:15:59 main:581] : INFO : Epoch 192 | loss: 0.0594568 | val_loss: 0.0595087 | Time: 3003.99 ms [2020-11-26 16:15:59 main:604] : INFO : Saving trained model to model-final.pt, val_loss 0.0595087 [2020-11-26 16:15:59 main:610] : INFO : Saving end state to config to file [2020-11-26 16:15:59 main:615] : INFO : Success, exiting.. 16:15:59 (15311): 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)