Task 3075064
| Name | rand_automata_0082-1606118020-23562-90_0 |
| Workunit | 1403314 |
| Created | 26 Nov 2020, 21:06:22 UTC |
| Sent | 26 Nov 2020, 21:16:10 UTC |
| Report deadline | 3 Dec 2020, 21:16:10 UTC |
| Received | 26 Nov 2020, 21:26:37 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 | 2.19 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 16:16:28 main:442] : INFO : Set logging level to 1 [2020-11-26 16:16:28 main:448] : INFO : Running in BOINC Client mode [2020-11-26 16:16:28 main:451] : INFO : Resolving all filenames [2020-11-26 16:16:28 main:459] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-train-val-dataset.hdf5 (exists = 1) [2020-11-26 16:16:28 main:459] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-1606118020-23562-90_0_r1012644304_1 (exists = 0) [2020-11-26 16:16:28 main:459] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-1606118020-23562-90_0_r1012644304_0 (exists = 0) [2020-11-26 16:16:28 main:459] : INFO : Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-1606118020-23562-90 (exists = 1) [2020-11-26 16:16:28 main:459] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-26 16:16:28 main:479] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-train-val-dataset.hdf5 [2020-11-26 16:16:28 main:481] : INFO : Configuration: [2020-11-26 16:16:28 main:482] : INFO : Model type: LSTM [2020-11-26 16:16:28 main:483] : INFO : Validation Loss Threshold: 0.0001 [2020-11-26 16:16:28 main:484] : INFO : Max Epochs: 192 [2020-11-26 16:16:28 main:485] : INFO : Batch Size: 32 [2020-11-26 16:16:28 main:486] : INFO : Learning Rate: 0.001 [2020-11-26 16:16:28 main:487] : INFO : Patience: 10 [2020-11-26 16:16:28 main:488] : INFO : Hidden Width: 64 [2020-11-26 16:16:28 main:489] : INFO : # Recurrent Layers: 4 [2020-11-26 16:16:28 main:490] : INFO : # Backend Layers: 2 [2020-11-26 16:16:28 main:491] : INFO : # Threads: 1 [2020-11-26 16:16:28 main:493] : INFO : Preparing Dataset [2020-11-26 16:16:28 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 16:16:28 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 16:16:31 load:106] : INFO : Successfully loaded dataset of 4096 examples into memory. [2020-11-26 16:16:31 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 16:16:31 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 16:16:31 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-26 16:16:31 main:501] : INFO : Creating Model [2020-11-26 16:16:31 main:514] : INFO : Preparing config file [2020-11-26 16:16:31 main:526] : INFO : Creating new config file [2020-11-26 16:16:31 main:545] : INFO : This is a continuation WU, loading previous network [2020-11-26 16:16:31 main:566] : INFO : Loading DataLoader into Memory [2020-11-26 16:16:31 main:569] : INFO : Starting Training [2020-11-26 16:16:35 main:581] : INFO : Epoch 1 | loss: 0.0540451 | val_loss: 0.0540926 | Time: 4435.38 ms [2020-11-26 16:16:38 main:581] : INFO : Epoch 2 | loss: 0.0536126 | val_loss: 0.0536876 | Time: 2983.33 ms [2020-11-26 16:16:42 main:581] : INFO : Epoch 3 | loss: 0.0533955 | val_loss: 0.0535438 | Time: 3101.78 ms [2020-11-26 16:16:45 main:581] : INFO : Epoch 4 | loss: 0.0533107 | val_loss: 0.0535377 | Time: 3015.36 ms [2020-11-26 16:16:48 main:581] : INFO : Epoch 5 | loss: 0.05325 | val_loss: 0.0535279 | Time: 3055.78 ms [2020-11-26 16:16:51 main:581] : INFO : Epoch 6 | loss: 0.0537691 | val_loss: 0.0540758 | Time: 3032.52 ms [2020-11-26 16:16:54 main:581] : INFO : Epoch 7 | loss: 0.0538106 | val_loss: 0.0539818 | Time: 2999.6 ms [2020-11-26 16:16:57 main:581] : INFO : Epoch 8 | loss: 0.0538283 | val_loss: 0.0540938 | Time: 3166.88 ms [2020-11-26 16:17:00 main:581] : INFO : Epoch 9 | loss: 0.0540547 | val_loss: 0.0541895 | Time: 3001.45 ms [2020-11-26 16:17:04 main:581] : INFO : Epoch 10 | loss: 0.0540704 | val_loss: 0.0541598 | Time: 4291.7 ms [2020-11-26 16:17:07 main:581] : INFO : Epoch 11 | loss: 0.0540277 | val_loss: 0.054214 | Time: 3195.14 ms [2020-11-26 16:17:10 main:581] : INFO : Epoch 12 | loss: 0.0541607 | val_loss: 0.0543212 | Time: 3042.28 ms [2020-11-26 16:17:14 main:581] : INFO : Epoch 13 | loss: 0.0541797 | val_loss: 0.0543378 | Time: 3169.2 ms [2020-11-26 16:17:17 main:581] : INFO : Epoch 14 | loss: 0.054305 | val_loss: 0.0544425 | Time: 3177.93 ms [2020-11-26 16:17:20 main:581] : INFO : Epoch 15 | loss: 0.0543963 | val_loss: 0.0545797 | Time: 2975.95 ms [2020-11-26 16:17:23 main:581] : INFO : Epoch 16 | loss: 0.0544828 | val_loss: 0.054556 | Time: 3019.31 ms [2020-11-26 16:17:26 main:581] : INFO : Epoch 17 | loss: 0.0544808 | val_loss: 0.0545283 | Time: 2994.95 ms [2020-11-26 16:17:29 main:581] : INFO : Epoch 18 | loss: 0.0545019 | val_loss: 0.0545683 | Time: 3011.01 ms [2020-11-26 16:17:32 main:581] : INFO : Epoch 19 | loss: 0.0543899 | val_loss: 0.0543996 | Time: 2976.01 ms [2020-11-26 16:17:35 main:581] : INFO : Epoch 20 | loss: 0.0541892 | val_loss: 0.0543306 | Time: 3043.73 ms [2020-11-26 16:17:38 main:581] : INFO : Epoch 21 | loss: 0.0543641 | val_loss: 0.0546152 | Time: 3119.99 ms [2020-11-26 16:17:41 main:581] : INFO : Epoch 22 | loss: 0.0543195 | val_loss: 0.0543617 | Time: 3150.48 ms [2020-11-26 16:17:44 main:581] : INFO : Epoch 23 | loss: 0.0542676 | val_loss: 0.0544763 | Time: 2967.8 ms [2020-11-26 16:17:47 main:581] : INFO : Epoch 24 | loss: 0.0543766 | val_loss: 0.0545281 | Time: 3211 ms [2020-11-26 16:17:50 main:581] : INFO : Epoch 25 | loss: 0.0543886 | val_loss: 0.0544216 | Time: 3163.52 ms [2020-11-26 16:17:53 main:581] : INFO : Epoch 26 | loss: 0.0542579 | val_loss: 0.0543017 | Time: 3128.73 ms [2020-11-26 16:17:57 main:581] : INFO : Epoch 27 | loss: 0.0541895 | val_loss: 0.0543596 | Time: 3159.88 ms [2020-11-26 16:18:00 main:581] : INFO : Epoch 28 | loss: 0.0542122 | val_loss: 0.054311 | Time: 3009.69 ms [2020-11-26 16:18:03 main:581] : INFO : Epoch 29 | loss: 0.054371 | val_loss: 0.0547178 | Time: 3181.77 ms [2020-11-26 16:18:06 main:581] : INFO : Epoch 30 | loss: 0.0545628 | val_loss: 0.0548011 | Time: 3114.15 ms [2020-11-26 16:18:09 main:581] : INFO : Epoch 31 | loss: 0.0546761 | val_loss: 0.0548681 | Time: 3021.83 ms [2020-11-26 16:18:12 main:581] : INFO : Epoch 32 | loss: 0.0546451 | val_loss: 0.0548467 | Time: 3130.9 ms [2020-11-26 16:18:15 main:581] : INFO : Epoch 33 | loss: 0.0546819 | val_loss: 0.0548458 | Time: 3059.39 ms [2020-11-26 16:18:18 main:581] : INFO : Epoch 34 | loss: 0.0547247 | val_loss: 0.0549968 | Time: 3168.76 ms [2020-11-26 16:18:21 main:581] : INFO : Epoch 35 | loss: 0.054865 | val_loss: 0.0550475 | Time: 3034.04 ms [2020-11-26 16:18:24 main:581] : INFO : Epoch 36 | loss: 0.0549153 | val_loss: 0.0550726 | Time: 3058.33 ms [2020-11-26 16:18:28 main:581] : INFO : Epoch 37 | loss: 0.0549392 | val_loss: 0.0550766 | Time: 3097.61 ms [2020-11-26 16:18:31 main:581] : INFO : Epoch 38 | loss: 0.0549529 | val_loss: 0.0551079 | Time: 3081.56 ms [2020-11-26 16:18:34 main:581] : INFO : Epoch 39 | loss: 0.0550361 | val_loss: 0.0550966 | Time: 3017.61 ms [2020-11-26 16:18:37 main:581] : INFO : Epoch 40 | loss: 0.0549748 | val_loss: 0.0551173 | Time: 3031.29 ms [2020-11-26 16:18:40 main:581] : INFO : Epoch 41 | loss: 0.0550932 | val_loss: 0.055218 | Time: 3025.1 ms [2020-11-26 16:18:43 main:581] : INFO : Epoch 42 | loss: 0.0551906 | val_loss: 0.0553128 | Time: 3054.32 ms [2020-11-26 16:18:46 main:581] : INFO : Epoch 43 | loss: 0.0552178 | val_loss: 0.055337 | Time: 3048.89 ms [2020-11-26 16:18:49 main:581] : INFO : Epoch 44 | loss: 0.0552681 | val_loss: 0.055463 | Time: 2981.6 ms [2020-11-26 16:18:52 main:581] : INFO : Epoch 45 | loss: 0.0554178 | val_loss: 0.0556062 | Time: 3072.44 ms [2020-11-26 16:18:55 main:581] : INFO : Epoch 46 | loss: 0.0555791 | val_loss: 0.0557634 | Time: 3175.06 ms [2020-11-26 16:18:58 main:581] : INFO : Epoch 47 | loss: 0.0556512 | val_loss: 0.0557167 | Time: 3019.47 ms [2020-11-26 16:19:01 main:581] : INFO : Epoch 48 | loss: 0.0556383 | val_loss: 0.0556819 | Time: 3097.57 ms [2020-11-26 16:19:04 main:581] : INFO : Epoch 49 | loss: 0.0556219 | val_loss: 0.0557663 | Time: 3068.43 ms [2020-11-26 16:19:07 main:581] : INFO : Epoch 50 | loss: 0.0556834 | val_loss: 0.0557745 | Time: 3211.48 ms [2020-11-26 16:19:11 main:581] : INFO : Epoch 51 | loss: 0.0557146 | val_loss: 0.055721 | Time: 3106.11 ms [2020-11-26 16:19:14 main:581] : INFO : Epoch 52 | loss: 0.0556577 | val_loss: 0.0557104 | Time: 3095.84 ms [2020-11-26 16:19:17 main:581] : INFO : Epoch 53 | loss: 0.0556845 | val_loss: 0.0556976 | Time: 3146.4 ms [2020-11-26 16:19:20 main:581] : INFO : Epoch 54 | loss: 0.055675 | val_loss: 0.0558287 | Time: 3014.22 ms [2020-11-26 16:19:23 main:581] : INFO : Epoch 55 | loss: 0.0557415 | val_loss: 0.0557264 | Time: 3104.08 ms [2020-11-26 16:19:26 main:581] : INFO : Epoch 56 | loss: 0.0556743 | val_loss: 0.0557514 | Time: 3036.33 ms [2020-11-26 16:19:29 main:581] : INFO : Epoch 57 | loss: 0.0556634 | val_loss: 0.055774 | Time: 3062.6 ms [2020-11-26 16:19:32 main:581] : INFO : Epoch 58 | loss: 0.0558026 | val_loss: 0.0558501 | Time: 3013.17 ms [2020-11-26 16:19:35 main:581] : INFO : Epoch 59 | loss: 0.0557814 | val_loss: 0.0557254 | Time: 2994.84 ms [2020-11-26 16:19:38 main:581] : INFO : Epoch 60 | loss: 0.0556634 | val_loss: 0.0557828 | Time: 3148.75 ms [2020-11-26 16:19:41 main:581] : INFO : Epoch 61 | loss: 0.0558365 | val_loss: 0.0559409 | Time: 3030.86 ms [2020-11-26 16:19:44 main:581] : INFO : Epoch 62 | loss: 0.0558425 | val_loss: 0.055986 | Time: 3041.1 ms [2020-11-26 16:19:47 main:581] : INFO : Epoch 63 | loss: 0.0558619 | val_loss: 0.0559342 | Time: 3025.27 ms [2020-11-26 16:19:50 main:581] : INFO : Epoch 64 | loss: 0.0559276 | val_loss: 0.0560958 | Time: 3116.95 ms [2020-11-26 16:19:53 main:581] : INFO : Epoch 65 | loss: 0.0559677 | val_loss: 0.0560758 | Time: 3031.48 ms [2020-11-26 16:19:56 main:581] : INFO : Epoch 66 | loss: 0.0559191 | val_loss: 0.0559863 | Time: 3096.24 ms [2020-11-26 16:20:00 main:581] : INFO : Epoch 67 | loss: 0.0559067 | val_loss: 0.0559082 | Time: 3159.89 ms [2020-11-26 16:20:03 main:581] : INFO : Epoch 68 | loss: 0.0558686 | val_loss: 0.0559258 | Time: 3027.56 ms [2020-11-26 16:20:06 main:581] : INFO : Epoch 69 | loss: 0.0559617 | val_loss: 0.0561223 | Time: 3125.38 ms [2020-11-26 16:20:09 main:581] : INFO : Epoch 70 | loss: 0.0560223 | val_loss: 0.0560362 | Time: 3069.95 ms [2020-11-26 16:20:12 main:581] : INFO : Epoch 71 | loss: 0.0559576 | val_loss: 0.0560138 | Time: 3132.45 ms [2020-11-26 16:20:15 main:581] : INFO : Epoch 72 | loss: 0.0559503 | val_loss: 0.0559858 | Time: 3068.52 ms [2020-11-26 16:20:18 main:581] : INFO : Epoch 73 | loss: 0.0559302 | val_loss: 0.055968 | Time: 3012.77 ms [2020-11-26 16:20:21 main:581] : INFO : Epoch 74 | loss: 0.0558777 | val_loss: 0.0558815 | Time: 3207.51 ms [2020-11-26 16:20:24 main:581] : INFO : Epoch 75 | loss: 0.0558426 | val_loss: 0.055855 | Time: 3136.04 ms [2020-11-26 16:20:27 main:581] : INFO : Epoch 76 | loss: 0.0558396 | val_loss: 0.0559047 | Time: 3045.17 ms [2020-11-26 16:20:31 main:581] : INFO : Epoch 77 | loss: 0.0558522 | val_loss: 0.0559407 | Time: 3086.76 ms [2020-11-26 16:20:34 main:581] : INFO : Epoch 78 | loss: 0.0558651 | val_loss: 0.0559247 | Time: 2994.16 ms [2020-11-26 16:20:37 main:581] : INFO : Epoch 79 | loss: 0.055861 | val_loss: 0.0558959 | Time: 3204.72 ms [2020-11-26 16:20:40 main:581] : INFO : Epoch 80 | loss: 0.0558899 | val_loss: 0.0559617 | Time: 3172.26 ms [2020-11-26 16:20:43 main:581] : INFO : Epoch 81 | loss: 0.0559241 | val_loss: 0.0559939 | Time: 3172.46 ms [2020-11-26 16:20:46 main:581] : INFO : Epoch 82 | loss: 0.0559478 | val_loss: 0.0560102 | Time: 3263.93 ms [2020-11-26 16:20:50 main:581] : INFO : Epoch 83 | loss: 0.055937 | val_loss: 0.0559918 | Time: 3274.9 ms [2020-11-26 16:20:53 main:581] : INFO : Epoch 84 | loss: 0.0559331 | val_loss: 0.0559811 | Time: 3158.32 ms [2020-11-26 16:20:56 main:581] : INFO : Epoch 85 | loss: 0.0558959 | val_loss: 0.0559566 | Time: 3014.57 ms [2020-11-26 16:20:59 main:581] : INFO : Epoch 86 | loss: 0.0558679 | val_loss: 0.055873 | Time: 3069.08 ms [2020-11-26 16:21:02 main:581] : INFO : Epoch 87 | loss: 0.0560385 | val_loss: 0.0562662 | Time: 3008.83 ms [2020-11-26 16:21:05 main:581] : INFO : Epoch 88 | loss: 0.0562229 | val_loss: 0.0562809 | Time: 3028.11 ms [2020-11-26 16:21:08 main:581] : INFO : Epoch 89 | loss: 0.0562179 | val_loss: 0.0562601 | Time: 3061.77 ms [2020-11-26 16:21:11 main:581] : INFO : Epoch 90 | loss: 0.0562006 | val_loss: 0.0562373 | Time: 3066.55 ms [2020-11-26 16:21:14 main:581] : INFO : Epoch 91 | loss: 0.0562021 | val_loss: 0.0562837 | Time: 3010.28 ms [2020-11-26 16:21:17 main:581] : INFO : Epoch 92 | loss: 0.0562239 | val_loss: 0.0562707 | Time: 3089.92 ms [2020-11-26 16:21:20 main:581] : INFO : Epoch 93 | loss: 0.0561941 | val_loss: 0.056198 | Time: 3172.57 ms [2020-11-26 16:21:23 main:581] : INFO : Epoch 94 | loss: 0.0561524 | val_loss: 0.0561382 | Time: 3102.59 ms [2020-11-26 16:21:26 main:581] : INFO : Epoch 95 | loss: 0.0560971 | val_loss: 0.0560944 | Time: 3016.98 ms [2020-11-26 16:21:29 main:581] : INFO : Epoch 96 | loss: 0.0562165 | val_loss: 0.0562188 | Time: 3008.96 ms [2020-11-26 16:21:32 main:581] : INFO : Epoch 97 | loss: 0.0562229 | val_loss: 0.0562752 | Time: 3009.91 ms [2020-11-26 16:21:36 main:581] : INFO : Epoch 98 | loss: 0.0562285 | val_loss: 0.0562722 | Time: 3196.25 ms [2020-11-26 16:21:39 main:581] : INFO : Epoch 99 | loss: 0.0562698 | val_loss: 0.056319 | Time: 3100.44 ms [2020-11-26 16:21:42 main:581] : INFO : Epoch 100 | loss: 0.0562494 | val_loss: 0.056319 | Time: 3076.33 ms [2020-11-26 16:21:45 main:581] : INFO : Epoch 101 | loss: 0.0562342 | val_loss: 0.056283 | Time: 3017.05 ms [2020-11-26 16:21:48 main:581] : INFO : Epoch 102 | loss: 0.0561887 | val_loss: 0.0562477 | Time: 3108.09 ms [2020-11-26 16:21:51 main:581] : INFO : Epoch 103 | loss: 0.056162 | val_loss: 0.0562185 | Time: 2997.76 ms [2020-11-26 16:21:54 main:581] : INFO : Epoch 104 | loss: 0.0561466 | val_loss: 0.0562064 | Time: 3001.46 ms [2020-11-26 16:21:57 main:581] : INFO : Epoch 105 | loss: 0.0561431 | val_loss: 0.0562123 | Time: 3025.14 ms [2020-11-26 16:22:00 main:581] : INFO : Epoch 106 | loss: 0.0561313 | val_loss: 0.0561838 | Time: 3003.92 ms [2020-11-26 16:22:03 main:581] : INFO : Epoch 107 | loss: 0.0560929 | val_loss: 0.0561708 | Time: 3218.01 ms [2020-11-26 16:22:06 main:581] : INFO : Epoch 108 | loss: 0.0560801 | val_loss: 0.0561593 | Time: 3070.56 ms [2020-11-26 16:22:09 main:581] : INFO : Epoch 109 | loss: 0.0560542 | val_loss: 0.0561063 | Time: 3156.4 ms [2020-11-26 16:22:13 main:581] : INFO : Epoch 110 | loss: 0.0560256 | val_loss: 0.0560913 | Time: 3207.17 ms [2020-11-26 16:22:16 main:581] : INFO : Epoch 111 | loss: 0.0560357 | val_loss: 0.0561343 | Time: 3136.59 ms [2020-11-26 16:22:19 main:581] : INFO : Epoch 112 | loss: 0.0560339 | val_loss: 0.0560976 | Time: 3191.55 ms [2020-11-26 16:22:22 main:581] : INFO : Epoch 113 | loss: 0.0560033 | val_loss: 0.0560197 | Time: 3103.44 ms [2020-11-26 16:22:25 main:581] : INFO : Epoch 114 | loss: 0.0560546 | val_loss: 0.0561109 | Time: 3079.7 ms [2020-11-26 16:22:28 main:581] : INFO : Epoch 115 | loss: 0.0560538 | val_loss: 0.0559212 | Time: 3120.01 ms [2020-11-26 16:22:31 main:581] : INFO : Epoch 116 | loss: 0.0559018 | val_loss: 0.0558953 | Time: 3031.18 ms [2020-11-26 16:22:34 main:581] : INFO : Epoch 117 | loss: 0.0559289 | val_loss: 0.0559004 | Time: 3110.96 ms [2020-11-26 16:22:38 main:581] : INFO : Epoch 118 | loss: 0.0559131 | val_loss: 0.0560286 | Time: 3166.29 ms [2020-11-26 16:22:41 main:581] : INFO : Epoch 119 | loss: 0.0560457 | val_loss: 0.0559917 | Time: 3003.74 ms [2020-11-26 16:22:44 main:581] : INFO : Epoch 120 | loss: 0.0560057 | val_loss: 0.0559697 | Time: 3015.45 ms [2020-11-26 16:22:47 main:581] : INFO : Epoch 121 | loss: 0.0559869 | val_loss: 0.055963 | Time: 3019.34 ms [2020-11-26 16:22:50 main:581] : INFO : Epoch 122 | loss: 0.05597 | val_loss: 0.0559362 | Time: 3243.97 ms [2020-11-26 16:22:53 main:581] : INFO : Epoch 123 | loss: 0.0559751 | val_loss: 0.0560325 | Time: 3000.68 ms [2020-11-26 16:22:56 main:581] : INFO : Epoch 124 | loss: 0.0559864 | val_loss: 0.0560592 | Time: 3099.33 ms [2020-11-26 16:22:59 main:581] : INFO : Epoch 125 | loss: 0.0560093 | val_loss: 0.056009 | Time: 3006.51 ms [2020-11-26 16:23:02 main:581] : INFO : Epoch 126 | loss: 0.0559972 | val_loss: 0.0559972 | Time: 3141.61 ms [2020-11-26 16:23:05 main:581] : INFO : Epoch 127 | loss: 0.0559636 | val_loss: 0.0559994 | Time: 3039.72 ms [2020-11-26 16:23:08 main:581] : INFO : Epoch 128 | loss: 0.055924 | val_loss: 0.0559567 | Time: 3025.93 ms [2020-11-26 16:23:11 main:581] : INFO : Epoch 129 | loss: 0.0559062 | val_loss: 0.0559355 | Time: 3120.88 ms [2020-11-26 16:23:14 main:581] : INFO : Epoch 130 | loss: 0.0559506 | val_loss: 0.0560095 | Time: 3080.03 ms [2020-11-26 16:23:18 main:581] : INFO : Epoch 131 | loss: 0.0559843 | val_loss: 0.0559642 | Time: 3114.52 ms [2020-11-26 16:23:21 main:581] : INFO : Epoch 132 | loss: 0.055919 | val_loss: 0.0559506 | Time: 3073.27 ms [2020-11-26 16:23:24 main:581] : INFO : Epoch 133 | loss: 0.0558766 | val_loss: 0.0559276 | Time: 3068.73 ms [2020-11-26 16:23:27 main:581] : INFO : Epoch 134 | loss: 0.055869 | val_loss: 0.0558735 | Time: 3013.12 ms [2020-11-26 16:23:30 main:581] : INFO : Epoch 135 | loss: 0.0558801 | val_loss: 0.0559534 | Time: 3007.18 ms [2020-11-26 16:23:33 main:581] : INFO : Epoch 136 | loss: 0.05584 | val_loss: 0.0558569 | Time: 3184.35 ms [2020-11-26 16:23:36 main:581] : INFO : Epoch 137 | loss: 0.0558554 | val_loss: 0.0558797 | Time: 3006.33 ms [2020-11-26 16:23:39 main:581] : INFO : Epoch 138 | loss: 0.0558967 | val_loss: 0.0560746 | Time: 2991.87 ms [2020-11-26 16:23:42 main:581] : INFO : Epoch 139 | loss: 0.0561274 | val_loss: 0.0564625 | Time: 3102.19 ms [2020-11-26 16:23:45 main:581] : INFO : Epoch 140 | loss: 0.0564442 | val_loss: 0.0565639 | Time: 3096.5 ms [2020-11-26 16:23:48 main:581] : INFO : Epoch 141 | loss: 0.0565758 | val_loss: 0.0566205 | Time: 3018.09 ms [2020-11-26 16:23:51 main:581] : INFO : Epoch 142 | loss: 0.056556 | val_loss: 0.0566143 | Time: 3013.54 ms [2020-11-26 16:23:54 main:581] : INFO : Epoch 143 | loss: 0.0567142 | val_loss: 0.0568202 | Time: 3051.39 ms [2020-11-26 16:23:57 main:581] : INFO : Epoch 144 | loss: 0.0567221 | val_loss: 0.0567647 | Time: 3025.55 ms [2020-11-26 16:24:00 main:581] : INFO : Epoch 145 | loss: 0.0567072 | val_loss: 0.0567421 | Time: 3019.17 ms [2020-11-26 16:24:03 main:581] : INFO : Epoch 146 | loss: 0.0568668 | val_loss: 0.0569028 | Time: 3074.1 ms [2020-11-26 16:24:06 main:581] : INFO : Epoch 147 | loss: 0.0570337 | val_loss: 0.0572705 | Time: 3068.94 ms [2020-11-26 16:24:09 main:581] : INFO : Epoch 148 | loss: 0.0572764 | val_loss: 0.0573772 | Time: 3063.08 ms [2020-11-26 16:24:12 main:581] : INFO : Epoch 149 | loss: 0.0577072 | val_loss: 0.0579624 | Time: 3072.71 ms [2020-11-26 16:24:16 main:581] : INFO : Epoch 150 | loss: 0.0579653 | val_loss: 0.0579644 | Time: 3108.09 ms [2020-11-26 16:24:19 main:581] : INFO : Epoch 151 | loss: 0.0581404 | val_loss: 0.0583533 | Time: 3075.21 ms [2020-11-26 16:24:22 main:581] : INFO : Epoch 152 | loss: 0.0585077 | val_loss: 0.0587684 | Time: 2965.83 ms [2020-11-26 16:24:25 main:581] : INFO : Epoch 153 | loss: 0.0588285 | val_loss: 0.0589731 | Time: 3090.68 ms [2020-11-26 16:24:28 main:581] : INFO : Epoch 154 | loss: 0.0588565 | val_loss: 0.0589668 | Time: 3159.47 ms [2020-11-26 16:24:31 main:581] : INFO : Epoch 155 | loss: 0.0588587 | val_loss: 0.058966 | Time: 3060.88 ms [2020-11-26 16:24:34 main:581] : INFO : Epoch 156 | loss: 0.0588548 | val_loss: 0.0589726 | Time: 3205.97 ms [2020-11-26 16:24:37 main:581] : INFO : Epoch 157 | loss: 0.0588577 | val_loss: 0.0589647 | Time: 2977.55 ms [2020-11-26 16:24:40 main:581] : INFO : Epoch 158 | loss: 0.0588551 | val_loss: 0.0589594 | Time: 3088.08 ms [2020-11-26 16:24:43 main:581] : INFO : Epoch 159 | loss: 0.0588605 | val_loss: 0.0589675 | Time: 3025.87 ms [2020-11-26 16:24:46 main:581] : INFO : Epoch 160 | loss: 0.0588545 | val_loss: 0.0589334 | Time: 3097.83 ms [2020-11-26 16:24:49 main:581] : INFO : Epoch 161 | loss: 0.0588341 | val_loss: 0.0589162 | Time: 2959.23 ms [2020-11-26 16:24:52 main:581] : INFO : Epoch 162 | loss: 0.0588266 | val_loss: 0.0589185 | Time: 3099.4 ms [2020-11-26 16:24:56 main:581] : INFO : Epoch 163 | loss: 0.0588222 | val_loss: 0.0589065 | Time: 3153.28 ms [2020-11-26 16:24:59 main:581] : INFO : Epoch 164 | loss: 0.0588235 | val_loss: 0.0589273 | Time: 3109.78 ms [2020-11-26 16:25:02 main:581] : INFO : Epoch 165 | loss: 0.0588076 | val_loss: 0.0588661 | Time: 3044.75 ms [2020-11-26 16:25:05 main:581] : INFO : Epoch 166 | loss: 0.0587806 | val_loss: 0.0588642 | Time: 3018.91 ms [2020-11-26 16:25:08 main:581] : INFO : Epoch 167 | loss: 0.0587616 | val_loss: 0.0588738 | Time: 3153.73 ms [2020-11-26 16:25:11 main:581] : INFO : Epoch 168 | loss: 0.0587493 | val_loss: 0.0588688 | Time: 3057.47 ms [2020-11-26 16:25:14 main:581] : INFO : Epoch 169 | loss: 0.0587465 | val_loss: 0.0588624 | Time: 3028.22 ms [2020-11-26 16:25:17 main:581] : INFO : Epoch 170 | loss: 0.0587462 | val_loss: 0.0588539 | Time: 3064.18 ms [2020-11-26 16:25:20 main:581] : INFO : Epoch 171 | loss: 0.0587454 | val_loss: 0.058864 | Time: 3025.67 ms [2020-11-26 16:25:23 main:581] : INFO : Epoch 172 | loss: 0.0587466 | val_loss: 0.0588727 | Time: 3014.39 ms [2020-11-26 16:25:26 main:581] : INFO : Epoch 173 | loss: 0.0587468 | val_loss: 0.0588568 | Time: 3088.68 ms [2020-11-26 16:25:29 main:581] : INFO : Epoch 174 | loss: 0.058775 | val_loss: 0.058901 | Time: 3118.67 ms [2020-11-26 16:25:32 main:581] : INFO : Epoch 175 | loss: 0.058811 | val_loss: 0.0588933 | Time: 3054.77 ms [2020-11-26 16:25:35 main:581] : INFO : Epoch 176 | loss: 0.0588136 | val_loss: 0.0589178 | Time: 3054.94 ms [2020-11-26 16:25:38 main:581] : INFO : Epoch 177 | loss: 0.0588167 | val_loss: 0.0589192 | Time: 3014.25 ms [2020-11-26 16:25:41 main:581] : INFO : Epoch 178 | loss: 0.0588315 | val_loss: 0.0589163 | Time: 3106.65 ms [2020-11-26 16:25:45 main:581] : INFO : Epoch 179 | loss: 0.0588229 | val_loss: 0.058921 | Time: 3083.08 ms [2020-11-26 16:25:48 main:581] : INFO : Epoch 180 | loss: 0.0588285 | val_loss: 0.0589288 | Time: 3029.07 ms [2020-11-26 16:25:51 main:581] : INFO : Epoch 181 | loss: 0.0588308 | val_loss: 0.0589084 | Time: 3054.73 ms [2020-11-26 16:25:54 main:581] : INFO : Epoch 182 | loss: 0.0589996 | val_loss: 0.0590983 | Time: 3171.58 ms [2020-11-26 16:25:57 main:581] : INFO : Epoch 183 | loss: 0.0590491 | val_loss: 0.0591015 | Time: 3010.21 ms [2020-11-26 16:26:00 main:581] : INFO : Epoch 184 | loss: 0.0590486 | val_loss: 0.0590864 | Time: 3145.98 ms [2020-11-26 16:26:03 main:581] : INFO : Epoch 185 | loss: 0.0590451 | val_loss: 0.0591009 | Time: 3035.89 ms [2020-11-26 16:26:06 main:581] : INFO : Epoch 186 | loss: 0.0590424 | val_loss: 0.059098 | Time: 3083.34 ms [2020-11-26 16:26:09 main:581] : INFO : Epoch 187 | loss: 0.0590607 | val_loss: 0.059104 | Time: 3097.52 ms [2020-11-26 16:26:12 main:581] : INFO : Epoch 188 | loss: 0.0590618 | val_loss: 0.0591068 | Time: 3085.89 ms [2020-11-26 16:26:15 main:581] : INFO : Epoch 189 | loss: 0.0590578 | val_loss: 0.0591016 | Time: 3000.63 ms [2020-11-26 16:26:18 main:581] : INFO : Epoch 190 | loss: 0.0590602 | val_loss: 0.0591312 | Time: 3056.96 ms [2020-11-26 16:26:21 main:581] : INFO : Epoch 191 | loss: 0.0590499 | val_loss: 0.0591218 | Time: 3029.53 ms [2020-11-26 16:26:25 main:581] : INFO : Epoch 192 | loss: 0.0590557 | val_loss: 0.0591265 | Time: 3131.37 ms [2020-11-26 16:26:25 main:604] : INFO : Saving trained model to model-final.pt, val_loss 0.0591265 [2020-11-26 16:26:25 main:610] : INFO : Saving end state to config to file [2020-11-26 16:26:25 main:615] : INFO : Success, exiting.. 16:26:25 (15329): 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)