Task 3074352
| Name | rand_automata_0025-1606117988-22454-88_0 |
| Workunit | 1402720 |
| Created | 26 Nov 2020, 19:33:08 UTC |
| Sent | 26 Nov 2020, 19:43:04 UTC |
| Report deadline | 3 Dec 2020, 19:43:04 UTC |
| Received | 26 Nov 2020, 19:53:28 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 4754 |
| Run time | 9 min 59 sec |
| CPU time | 9 min 55 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 14:43:22 main:442] : INFO : Set logging level to 1 [2020-11-26 14:43:22 main:448] : INFO : Running in BOINC Client mode [2020-11-26 14:43:22 main:451] : INFO : Resolving all filenames [2020-11-26 14:43:22 main:459] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-train-val-dataset.hdf5 (exists = 1) [2020-11-26 14:43:22 main:459] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-1606117988-22454-88_0_r390107881_1 (exists = 0) [2020-11-26 14:43:22 main:459] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-1606117988-22454-88_0_r390107881_0 (exists = 0) [2020-11-26 14:43:22 main:459] : INFO : Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-1606117988-22454-88 (exists = 1) [2020-11-26 14:43:22 main:459] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-26 14:43:22 main:479] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-train-val-dataset.hdf5 [2020-11-26 14:43:22 main:481] : INFO : Configuration: [2020-11-26 14:43:22 main:482] : INFO : Model type: LSTM [2020-11-26 14:43:22 main:483] : INFO : Validation Loss Threshold: 0.0001 [2020-11-26 14:43:22 main:484] : INFO : Max Epochs: 192 [2020-11-26 14:43:22 main:485] : INFO : Batch Size: 32 [2020-11-26 14:43:22 main:486] : INFO : Learning Rate: 0.001 [2020-11-26 14:43:22 main:487] : INFO : Patience: 10 [2020-11-26 14:43:22 main:488] : INFO : Hidden Width: 64 [2020-11-26 14:43:22 main:489] : INFO : # Recurrent Layers: 4 [2020-11-26 14:43:22 main:490] : INFO : # Backend Layers: 2 [2020-11-26 14:43:22 main:491] : INFO : # Threads: 1 [2020-11-26 14:43:22 main:493] : INFO : Preparing Dataset [2020-11-26 14:43:22 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 14:43:22 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 14:43:24 load:106] : INFO : Successfully loaded dataset of 4096 examples into memory. [2020-11-26 14:43:24 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 14:43:24 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 14:43:24 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-26 14:43:24 main:501] : INFO : Creating Model [2020-11-26 14:43:24 main:514] : INFO : Preparing config file [2020-11-26 14:43:24 main:526] : INFO : Creating new config file [2020-11-26 14:43:24 main:545] : INFO : This is a continuation WU, loading previous network [2020-11-26 14:43:24 main:566] : INFO : Loading DataLoader into Memory [2020-11-26 14:43:24 main:569] : INFO : Starting Training [2020-11-26 14:43:28 main:581] : INFO : Epoch 1 | loss: 0.0566587 | val_loss: 0.0567592 | Time: 3637.85 ms [2020-11-26 14:43:31 main:581] : INFO : Epoch 2 | loss: 0.0562883 | val_loss: 0.0562632 | Time: 3159.18 ms [2020-11-26 14:43:34 main:581] : INFO : Epoch 3 | loss: 0.0559812 | val_loss: 0.0561765 | Time: 3062.2 ms [2020-11-26 14:43:37 main:581] : INFO : Epoch 4 | loss: 0.0560959 | val_loss: 0.0564484 | Time: 3115.55 ms [2020-11-26 14:43:41 main:581] : INFO : Epoch 5 | loss: 0.0564536 | val_loss: 0.0567365 | Time: 3111.77 ms [2020-11-26 14:43:44 main:581] : INFO : Epoch 6 | loss: 0.0564792 | val_loss: 0.0565934 | Time: 3062.4 ms [2020-11-26 14:43:47 main:581] : INFO : Epoch 7 | loss: 0.0561688 | val_loss: 0.0561729 | Time: 3017.59 ms [2020-11-26 14:43:50 main:581] : INFO : Epoch 8 | loss: 0.0562422 | val_loss: 0.0566351 | Time: 3177.95 ms [2020-11-26 14:43:53 main:581] : INFO : Epoch 9 | loss: 0.0564957 | val_loss: 0.0566226 | Time: 3234.21 ms [2020-11-26 14:43:56 main:581] : INFO : Epoch 10 | loss: 0.0565251 | val_loss: 0.0566135 | Time: 3023.58 ms [2020-11-26 14:43:59 main:581] : INFO : Epoch 11 | loss: 0.056382 | val_loss: 0.0564687 | Time: 3187.94 ms [2020-11-26 14:44:03 main:581] : INFO : Epoch 12 | loss: 0.0562344 | val_loss: 0.0563213 | Time: 3310.4 ms [2020-11-26 14:44:06 main:581] : INFO : Epoch 13 | loss: 0.0560901 | val_loss: 0.0562081 | Time: 3073.78 ms [2020-11-26 14:44:09 main:581] : INFO : Epoch 14 | loss: 0.0559282 | val_loss: 0.0560602 | Time: 2995.97 ms [2020-11-26 14:44:12 main:581] : INFO : Epoch 15 | loss: 0.0557842 | val_loss: 0.0558939 | Time: 2986.09 ms [2020-11-26 14:44:15 main:581] : INFO : Epoch 16 | loss: 0.0557046 | val_loss: 0.0559281 | Time: 2998.47 ms [2020-11-26 14:44:18 main:581] : INFO : Epoch 17 | loss: 0.0556501 | val_loss: 0.0558321 | Time: 3044.34 ms [2020-11-26 14:44:21 main:581] : INFO : Epoch 18 | loss: 0.0555027 | val_loss: 0.0557317 | Time: 3056.34 ms [2020-11-26 14:44:24 main:581] : INFO : Epoch 19 | loss: 0.055842 | val_loss: 0.0560312 | Time: 3144.53 ms [2020-11-26 14:44:27 main:581] : INFO : Epoch 20 | loss: 0.0556828 | val_loss: 0.0557866 | Time: 3166.71 ms [2020-11-26 14:44:30 main:581] : INFO : Epoch 21 | loss: 0.0553989 | val_loss: 0.0554457 | Time: 3043.73 ms [2020-11-26 14:44:33 main:581] : INFO : Epoch 22 | loss: 0.0550021 | val_loss: 0.0550071 | Time: 3138.97 ms [2020-11-26 14:44:36 main:581] : INFO : Epoch 23 | loss: 0.054759 | val_loss: 0.054809 | Time: 3141.19 ms [2020-11-26 14:44:40 main:581] : INFO : Epoch 24 | loss: 0.054523 | val_loss: 0.054542 | Time: 3162.38 ms [2020-11-26 14:44:43 main:581] : INFO : Epoch 25 | loss: 0.0542461 | val_loss: 0.054207 | Time: 3032.16 ms [2020-11-26 14:44:46 main:581] : INFO : Epoch 26 | loss: 0.0537804 | val_loss: 0.0538621 | Time: 3133.33 ms [2020-11-26 14:44:49 main:581] : INFO : Epoch 27 | loss: 0.0534547 | val_loss: 0.0536414 | Time: 3082.71 ms [2020-11-26 14:44:52 main:581] : INFO : Epoch 28 | loss: 0.0532505 | val_loss: 0.0532982 | Time: 3047.82 ms [2020-11-26 14:44:55 main:581] : INFO : Epoch 29 | loss: 0.053022 | val_loss: 0.0530134 | Time: 3037.43 ms [2020-11-26 14:44:58 main:581] : INFO : Epoch 30 | loss: 0.0528071 | val_loss: 0.0530158 | Time: 3138.65 ms [2020-11-26 14:45:01 main:581] : INFO : Epoch 31 | loss: 0.0526688 | val_loss: 0.0525899 | Time: 3051.48 ms [2020-11-26 14:45:04 main:581] : INFO : Epoch 32 | loss: 0.052604 | val_loss: 0.052974 | Time: 3084.2 ms [2020-11-26 14:45:07 main:581] : INFO : Epoch 33 | loss: 0.0527064 | val_loss: 0.0527326 | Time: 3030.79 ms [2020-11-26 14:45:10 main:581] : INFO : Epoch 34 | loss: 0.0525984 | val_loss: 0.0529924 | Time: 3147.6 ms [2020-11-26 14:45:13 main:581] : INFO : Epoch 35 | loss: 0.0525755 | val_loss: 0.052577 | Time: 3165.33 ms [2020-11-26 14:45:17 main:581] : INFO : Epoch 36 | loss: 0.0521908 | val_loss: 0.0522676 | Time: 3190.58 ms [2020-11-26 14:45:20 main:581] : INFO : Epoch 37 | loss: 0.0523369 | val_loss: 0.0524273 | Time: 3067.59 ms [2020-11-26 14:45:23 main:581] : INFO : Epoch 38 | loss: 0.0521025 | val_loss: 0.0519973 | Time: 3205.15 ms [2020-11-26 14:45:26 main:581] : INFO : Epoch 39 | loss: 0.0518249 | val_loss: 0.0520233 | Time: 3042.57 ms [2020-11-26 14:45:29 main:581] : INFO : Epoch 40 | loss: 0.0516028 | val_loss: 0.0516171 | Time: 3028.55 ms [2020-11-26 14:45:32 main:581] : INFO : Epoch 41 | loss: 0.0517001 | val_loss: 0.0516047 | Time: 3098.66 ms [2020-11-26 14:45:35 main:581] : INFO : Epoch 42 | loss: 0.0516707 | val_loss: 0.0522744 | Time: 3048.44 ms [2020-11-26 14:45:38 main:581] : INFO : Epoch 43 | loss: 0.0520948 | val_loss: 0.051929 | Time: 3042.4 ms [2020-11-26 14:45:41 main:581] : INFO : Epoch 44 | loss: 0.0514792 | val_loss: 0.0511423 | Time: 3075.72 ms [2020-11-26 14:45:44 main:581] : INFO : Epoch 45 | loss: 0.0508244 | val_loss: 0.0506083 | Time: 3040.48 ms [2020-11-26 14:45:47 main:581] : INFO : Epoch 46 | loss: 0.0503041 | val_loss: 0.0501705 | Time: 3158.96 ms [2020-11-26 14:45:51 main:581] : INFO : Epoch 47 | loss: 0.0497539 | val_loss: 0.0495607 | Time: 3104.63 ms [2020-11-26 14:45:54 main:581] : INFO : Epoch 48 | loss: 0.0490458 | val_loss: 0.0490928 | Time: 3018.64 ms [2020-11-26 14:45:57 main:581] : INFO : Epoch 49 | loss: 0.0485048 | val_loss: 0.0486858 | Time: 2993.4 ms [2020-11-26 14:46:00 main:581] : INFO : Epoch 50 | loss: 0.0480886 | val_loss: 0.048393 | Time: 3053.19 ms [2020-11-26 14:46:03 main:581] : INFO : Epoch 51 | loss: 0.047803 | val_loss: 0.0481493 | Time: 3055.14 ms [2020-11-26 14:46:06 main:581] : INFO : Epoch 52 | loss: 0.0486422 | val_loss: 0.050021 | Time: 3031.73 ms [2020-11-26 14:46:09 main:581] : INFO : Epoch 53 | loss: 0.0490173 | val_loss: 0.0491951 | Time: 3039.56 ms [2020-11-26 14:46:12 main:581] : INFO : Epoch 54 | loss: 0.048384 | val_loss: 0.0485538 | Time: 3121.55 ms [2020-11-26 14:46:15 main:581] : INFO : Epoch 55 | loss: 0.0478314 | val_loss: 0.048112 | Time: 3014.68 ms [2020-11-26 14:46:18 main:581] : INFO : Epoch 56 | loss: 0.0479235 | val_loss: 0.0489333 | Time: 3026.59 ms [2020-11-26 14:46:21 main:581] : INFO : Epoch 57 | loss: 0.0482486 | val_loss: 0.0484126 | Time: 3129.65 ms [2020-11-26 14:46:24 main:581] : INFO : Epoch 58 | loss: 0.0480525 | val_loss: 0.048176 | Time: 3041.76 ms [2020-11-26 14:46:27 main:581] : INFO : Epoch 59 | loss: 0.0475428 | val_loss: 0.0492437 | Time: 3129.42 ms [2020-11-26 14:46:30 main:581] : INFO : Epoch 60 | loss: 0.0487113 | val_loss: 0.0488953 | Time: 3092.71 ms [2020-11-26 14:46:33 main:581] : INFO : Epoch 61 | loss: 0.0482047 | val_loss: 0.0483009 | Time: 3073.73 ms [2020-11-26 14:46:37 main:581] : INFO : Epoch 62 | loss: 0.047733 | val_loss: 0.0479705 | Time: 3261.54 ms [2020-11-26 14:46:40 main:581] : INFO : Epoch 63 | loss: 0.0483349 | val_loss: 0.0500901 | Time: 3058.16 ms [2020-11-26 14:46:43 main:581] : INFO : Epoch 64 | loss: 0.0504825 | val_loss: 0.0512621 | Time: 3144.48 ms [2020-11-26 14:46:46 main:581] : INFO : Epoch 65 | loss: 0.0510563 | val_loss: 0.0513912 | Time: 3046.15 ms [2020-11-26 14:46:49 main:581] : INFO : Epoch 66 | loss: 0.0514617 | val_loss: 0.0516276 | Time: 3084.31 ms [2020-11-26 14:46:52 main:581] : INFO : Epoch 67 | loss: 0.0512226 | val_loss: 0.0513501 | Time: 3106.65 ms [2020-11-26 14:46:55 main:581] : INFO : Epoch 68 | loss: 0.0511004 | val_loss: 0.0512324 | Time: 3067.53 ms [2020-11-26 14:46:58 main:581] : INFO : Epoch 69 | loss: 0.0509085 | val_loss: 0.0512572 | Time: 3305.8 ms [2020-11-26 14:47:02 main:581] : INFO : Epoch 70 | loss: 0.0530528 | val_loss: 0.0536299 | Time: 3201.73 ms [2020-11-26 14:47:05 main:581] : INFO : Epoch 71 | loss: 0.053619 | val_loss: 0.0535671 | Time: 3122.12 ms [2020-11-26 14:47:08 main:581] : INFO : Epoch 72 | loss: 0.0535537 | val_loss: 0.0535077 | Time: 3029.78 ms [2020-11-26 14:47:11 main:581] : INFO : Epoch 73 | loss: 0.0534829 | val_loss: 0.0534528 | Time: 3078.47 ms [2020-11-26 14:47:14 main:581] : INFO : Epoch 74 | loss: 0.0534107 | val_loss: 0.05338 | Time: 3007.6 ms [2020-11-26 14:47:17 main:581] : INFO : Epoch 75 | loss: 0.0533415 | val_loss: 0.0533283 | Time: 3048.43 ms [2020-11-26 14:47:20 main:581] : INFO : Epoch 76 | loss: 0.0532737 | val_loss: 0.0532814 | Time: 3245.25 ms [2020-11-26 14:47:23 main:581] : INFO : Epoch 77 | loss: 0.0532057 | val_loss: 0.0532232 | Time: 3077.91 ms [2020-11-26 14:47:26 main:581] : INFO : Epoch 78 | loss: 0.0531303 | val_loss: 0.0531674 | Time: 3057.67 ms [2020-11-26 14:47:29 main:581] : INFO : Epoch 79 | loss: 0.0530563 | val_loss: 0.0530982 | Time: 3105.98 ms [2020-11-26 14:47:33 main:581] : INFO : Epoch 80 | loss: 0.0529784 | val_loss: 0.0530639 | Time: 3103.88 ms [2020-11-26 14:47:36 main:581] : INFO : Epoch 81 | loss: 0.0529342 | val_loss: 0.0530389 | Time: 3088.38 ms [2020-11-26 14:47:39 main:581] : INFO : Epoch 82 | loss: 0.0528659 | val_loss: 0.0529761 | Time: 3052.02 ms [2020-11-26 14:47:42 main:581] : INFO : Epoch 83 | loss: 0.0527857 | val_loss: 0.0529358 | Time: 3096.73 ms [2020-11-26 14:47:45 main:581] : INFO : Epoch 84 | loss: 0.0527151 | val_loss: 0.0528624 | Time: 3051.78 ms [2020-11-26 14:47:48 main:581] : INFO : Epoch 85 | loss: 0.0526273 | val_loss: 0.0527143 | Time: 3013.78 ms [2020-11-26 14:47:51 main:581] : INFO : Epoch 86 | loss: 0.0524938 | val_loss: 0.0526239 | Time: 3091.26 ms [2020-11-26 14:47:54 main:581] : INFO : Epoch 87 | loss: 0.0523715 | val_loss: 0.0525376 | Time: 3048.05 ms [2020-11-26 14:47:57 main:581] : INFO : Epoch 88 | loss: 0.0522861 | val_loss: 0.0524471 | Time: 3025.25 ms [2020-11-26 14:48:00 main:581] : INFO : Epoch 89 | loss: 0.0521885 | val_loss: 0.0523643 | Time: 3064.71 ms [2020-11-26 14:48:03 main:581] : INFO : Epoch 90 | loss: 0.0521423 | val_loss: 0.0522975 | Time: 3077.82 ms [2020-11-26 14:48:06 main:581] : INFO : Epoch 91 | loss: 0.0519987 | val_loss: 0.0521499 | Time: 3234.63 ms [2020-11-26 14:48:10 main:581] : INFO : Epoch 92 | loss: 0.0518703 | val_loss: 0.052045 | Time: 3174.33 ms [2020-11-26 14:48:13 main:581] : INFO : Epoch 93 | loss: 0.0517379 | val_loss: 0.0519263 | Time: 3178.96 ms [2020-11-26 14:48:16 main:581] : INFO : Epoch 94 | loss: 0.0516526 | val_loss: 0.0518438 | Time: 2993.17 ms [2020-11-26 14:48:19 main:581] : INFO : Epoch 95 | loss: 0.0515744 | val_loss: 0.0517786 | Time: 3035.83 ms [2020-11-26 14:48:22 main:581] : INFO : Epoch 96 | loss: 0.0515526 | val_loss: 0.0517246 | Time: 3199.26 ms [2020-11-26 14:48:25 main:581] : INFO : Epoch 97 | loss: 0.0513926 | val_loss: 0.0516034 | Time: 3076.8 ms [2020-11-26 14:48:28 main:581] : INFO : Epoch 98 | loss: 0.0511921 | val_loss: 0.051461 | Time: 3101.78 ms [2020-11-26 14:48:31 main:581] : INFO : Epoch 99 | loss: 0.0510053 | val_loss: 0.0513143 | Time: 3169.18 ms [2020-11-26 14:48:34 main:581] : INFO : Epoch 100 | loss: 0.050799 | val_loss: 0.0511192 | Time: 3092.29 ms [2020-11-26 14:48:37 main:581] : INFO : Epoch 101 | loss: 0.050609 | val_loss: 0.0509905 | Time: 3050.49 ms [2020-11-26 14:48:41 main:581] : INFO : Epoch 102 | loss: 0.0504557 | val_loss: 0.0508834 | Time: 3051.22 ms [2020-11-26 14:48:44 main:581] : INFO : Epoch 103 | loss: 0.0503259 | val_loss: 0.0506263 | Time: 3034.91 ms [2020-11-26 14:48:47 main:581] : INFO : Epoch 104 | loss: 0.0501724 | val_loss: 0.050459 | Time: 2981.57 ms [2020-11-26 14:48:50 main:581] : INFO : Epoch 105 | loss: 0.049953 | val_loss: 0.0502438 | Time: 3037.03 ms [2020-11-26 14:48:53 main:581] : INFO : Epoch 106 | loss: 0.0497246 | val_loss: 0.0500241 | Time: 3106.22 ms [2020-11-26 14:48:56 main:581] : INFO : Epoch 107 | loss: 0.0495009 | val_loss: 0.0498171 | Time: 3179.38 ms [2020-11-26 14:48:59 main:581] : INFO : Epoch 108 | loss: 0.0493452 | val_loss: 0.049625 | Time: 3217.26 ms [2020-11-26 14:49:02 main:581] : INFO : Epoch 109 | loss: 0.0491404 | val_loss: 0.049445 | Time: 3086.34 ms [2020-11-26 14:49:05 main:581] : INFO : Epoch 110 | loss: 0.0489094 | val_loss: 0.0492295 | Time: 3058.34 ms [2020-11-26 14:49:08 main:581] : INFO : Epoch 111 | loss: 0.0487291 | val_loss: 0.0490839 | Time: 3030.44 ms [2020-11-26 14:49:11 main:581] : INFO : Epoch 112 | loss: 0.048462 | val_loss: 0.0488297 | Time: 3040.37 ms [2020-11-26 14:49:14 main:581] : INFO : Epoch 113 | loss: 0.0483318 | val_loss: 0.0489273 | Time: 3091.33 ms [2020-11-26 14:49:17 main:581] : INFO : Epoch 114 | loss: 0.0482377 | val_loss: 0.0486588 | Time: 3044.92 ms [2020-11-26 14:49:20 main:581] : INFO : Epoch 115 | loss: 0.0481272 | val_loss: 0.048684 | Time: 3012.56 ms [2020-11-26 14:49:24 main:581] : INFO : Epoch 116 | loss: 0.0480296 | val_loss: 0.0486474 | Time: 3052.63 ms [2020-11-26 14:49:27 main:581] : INFO : Epoch 117 | loss: 0.0478556 | val_loss: 0.0482507 | Time: 3025.76 ms [2020-11-26 14:49:30 main:581] : INFO : Epoch 118 | loss: 0.0479381 | val_loss: 0.0487872 | Time: 3029.67 ms [2020-11-26 14:49:33 main:581] : INFO : Epoch 119 | loss: 0.0483197 | val_loss: 0.0485402 | Time: 3126.79 ms [2020-11-26 14:49:36 main:581] : INFO : Epoch 120 | loss: 0.0480612 | val_loss: 0.0483998 | Time: 3200.54 ms [2020-11-26 14:49:39 main:581] : INFO : Epoch 121 | loss: 0.0478482 | val_loss: 0.0481012 | Time: 3057.07 ms [2020-11-26 14:49:42 main:581] : INFO : Epoch 122 | loss: 0.0475517 | val_loss: 0.0480103 | Time: 3051.37 ms [2020-11-26 14:49:45 main:581] : INFO : Epoch 123 | loss: 0.0474178 | val_loss: 0.047609 | Time: 3107.7 ms [2020-11-26 14:49:48 main:581] : INFO : Epoch 124 | loss: 0.0470663 | val_loss: 0.0477176 | Time: 3042.33 ms [2020-11-26 14:49:51 main:581] : INFO : Epoch 125 | loss: 0.0469981 | val_loss: 0.0474411 | Time: 3145.03 ms [2020-11-26 14:49:54 main:581] : INFO : Epoch 126 | loss: 0.046756 | val_loss: 0.0473243 | Time: 3127.77 ms [2020-11-26 14:49:57 main:581] : INFO : Epoch 127 | loss: 0.0464702 | val_loss: 0.0469581 | Time: 3053.5 ms [2020-11-26 14:50:01 main:581] : INFO : Epoch 128 | loss: 0.0462062 | val_loss: 0.0466906 | Time: 3138.83 ms [2020-11-26 14:50:04 main:581] : INFO : Epoch 129 | loss: 0.0460036 | val_loss: 0.0467359 | Time: 3064.78 ms [2020-11-26 14:50:07 main:581] : INFO : Epoch 130 | loss: 0.0459935 | val_loss: 0.0463652 | Time: 3244.16 ms [2020-11-26 14:50:10 main:581] : INFO : Epoch 131 | loss: 0.0457166 | val_loss: 0.0468107 | Time: 3022.96 ms [2020-11-26 14:50:13 main:581] : INFO : Epoch 132 | loss: 0.0461924 | val_loss: 0.047246 | Time: 3039.24 ms [2020-11-26 14:50:16 main:581] : INFO : Epoch 133 | loss: 0.0472837 | val_loss: 0.0489339 | Time: 3123.06 ms [2020-11-26 14:50:19 main:581] : INFO : Epoch 134 | loss: 0.0481432 | val_loss: 0.0484468 | Time: 3088.32 ms [2020-11-26 14:50:22 main:581] : INFO : Epoch 135 | loss: 0.0477636 | val_loss: 0.0482958 | Time: 3030.6 ms [2020-11-26 14:50:25 main:581] : INFO : Epoch 136 | loss: 0.0473763 | val_loss: 0.0475225 | Time: 3092.67 ms [2020-11-26 14:50:28 main:581] : INFO : Epoch 137 | loss: 0.0465565 | val_loss: 0.0467094 | Time: 3148.11 ms [2020-11-26 14:50:32 main:581] : INFO : Epoch 138 | loss: 0.0460336 | val_loss: 0.0463203 | Time: 3067.48 ms [2020-11-26 14:50:35 main:581] : INFO : Epoch 139 | loss: 0.0458651 | val_loss: 0.0464076 | Time: 3079.31 ms [2020-11-26 14:50:38 main:581] : INFO : Epoch 140 | loss: 0.0455103 | val_loss: 0.0457163 | Time: 3121.75 ms [2020-11-26 14:50:41 main:581] : INFO : Epoch 141 | loss: 0.0452276 | val_loss: 0.0462203 | Time: 3000.09 ms [2020-11-26 14:50:44 main:581] : INFO : Epoch 142 | loss: 0.0454072 | val_loss: 0.0459022 | Time: 3025.15 ms [2020-11-26 14:50:47 main:581] : INFO : Epoch 143 | loss: 0.0453748 | val_loss: 0.0458217 | Time: 3048.69 ms [2020-11-26 14:50:50 main:581] : INFO : Epoch 144 | loss: 0.0452581 | val_loss: 0.0473847 | Time: 2976.02 ms [2020-11-26 14:50:53 main:581] : INFO : Epoch 145 | loss: 0.0467949 | val_loss: 0.0475242 | Time: 2979.01 ms [2020-11-26 14:50:56 main:581] : INFO : Epoch 146 | loss: 0.0469572 | val_loss: 0.0470209 | Time: 3048.86 ms [2020-11-26 14:50:59 main:581] : INFO : Epoch 147 | loss: 0.0463351 | val_loss: 0.0465054 | Time: 3102.44 ms [2020-11-26 14:51:02 main:581] : INFO : Epoch 148 | loss: 0.0456813 | val_loss: 0.0457852 | Time: 2995.93 ms [2020-11-26 14:51:05 main:581] : INFO : Epoch 149 | loss: 0.0448831 | val_loss: 0.0454757 | Time: 3116.7 ms [2020-11-26 14:51:08 main:581] : INFO : Epoch 150 | loss: 0.0446689 | val_loss: 0.0459694 | Time: 3024.82 ms [2020-11-26 14:51:11 main:581] : INFO : Epoch 151 | loss: 0.0451951 | val_loss: 0.0457796 | Time: 3003.12 ms [2020-11-26 14:51:14 main:581] : INFO : Epoch 152 | loss: 0.0447893 | val_loss: 0.0455096 | Time: 2998.92 ms [2020-11-26 14:51:17 main:581] : INFO : Epoch 153 | loss: 0.0443473 | val_loss: 0.0448689 | Time: 3018.17 ms [2020-11-26 14:51:20 main:581] : INFO : Epoch 154 | loss: 0.0446544 | val_loss: 0.0453786 | Time: 3216.95 ms [2020-11-26 14:51:23 main:581] : INFO : Epoch 155 | loss: 0.0445065 | val_loss: 0.0456576 | Time: 3048.47 ms [2020-11-26 14:51:27 main:581] : INFO : Epoch 156 | loss: 0.0448212 | val_loss: 0.0452023 | Time: 3272.35 ms [2020-11-26 14:51:30 main:581] : INFO : Epoch 157 | loss: 0.0440799 | val_loss: 0.0442363 | Time: 3049.28 ms [2020-11-26 14:51:33 main:581] : INFO : Epoch 158 | loss: 0.0434346 | val_loss: 0.0437822 | Time: 3023.13 ms [2020-11-26 14:51:36 main:581] : INFO : Epoch 159 | loss: 0.0428222 | val_loss: 0.0431156 | Time: 3027.03 ms [2020-11-26 14:51:39 main:581] : INFO : Epoch 160 | loss: 0.0423225 | val_loss: 0.0428803 | Time: 3061.81 ms [2020-11-26 14:51:42 main:581] : INFO : Epoch 161 | loss: 0.0421692 | val_loss: 0.0432657 | Time: 3014.72 ms [2020-11-26 14:51:45 main:581] : INFO : Epoch 162 | loss: 0.0422297 | val_loss: 0.0432296 | Time: 3145.82 ms [2020-11-26 14:51:48 main:581] : INFO : Epoch 163 | loss: 0.0436114 | val_loss: 0.0440307 | Time: 3122.77 ms [2020-11-26 14:51:51 main:581] : INFO : Epoch 164 | loss: 0.0428915 | val_loss: 0.0431888 | Time: 3204.36 ms [2020-11-26 14:51:54 main:581] : INFO : Epoch 165 | loss: 0.0423934 | val_loss: 0.0436532 | Time: 3029.67 ms [2020-11-26 14:51:57 main:581] : INFO : Epoch 166 | loss: 0.042529 | val_loss: 0.0429131 | Time: 3107.28 ms [2020-11-26 14:52:00 main:581] : INFO : Epoch 167 | loss: 0.0421445 | val_loss: 0.0429904 | Time: 3050.66 ms [2020-11-26 14:52:04 main:581] : INFO : Epoch 168 | loss: 0.0419118 | val_loss: 0.042794 | Time: 3065.13 ms [2020-11-26 14:52:07 main:581] : INFO : Epoch 169 | loss: 0.0425298 | val_loss: 0.0433086 | Time: 3174.43 ms [2020-11-26 14:52:10 main:581] : INFO : Epoch 170 | loss: 0.0419636 | val_loss: 0.0422301 | Time: 3031.2 ms [2020-11-26 14:52:13 main:581] : INFO : Epoch 171 | loss: 0.0417757 | val_loss: 0.0421142 | Time: 3148.32 ms [2020-11-26 14:52:16 main:581] : INFO : Epoch 172 | loss: 0.0407616 | val_loss: 0.0413663 | Time: 3100.54 ms [2020-11-26 14:52:19 main:581] : INFO : Epoch 173 | loss: 0.0403308 | val_loss: 0.0412738 | Time: 3141.27 ms [2020-11-26 14:52:22 main:581] : INFO : Epoch 174 | loss: 0.0406486 | val_loss: 0.0417334 | Time: 3003.88 ms [2020-11-26 14:52:25 main:581] : INFO : Epoch 175 | loss: 0.0415728 | val_loss: 0.0435641 | Time: 3091.97 ms [2020-11-26 14:52:28 main:581] : INFO : Epoch 176 | loss: 0.0429578 | val_loss: 0.0451939 | Time: 3254.47 ms [2020-11-26 14:52:32 main:581] : INFO : Epoch 177 | loss: 0.044169 | val_loss: 0.0442665 | Time: 3061.83 ms [2020-11-26 14:52:35 main:581] : INFO : Epoch 178 | loss: 0.0435833 | val_loss: 0.044711 | Time: 3041.86 ms [2020-11-26 14:52:38 main:581] : INFO : Epoch 179 | loss: 0.0445599 | val_loss: 0.0452157 | Time: 3001.9 ms [2020-11-26 14:52:41 main:581] : INFO : Epoch 180 | loss: 0.0442925 | val_loss: 0.0449564 | Time: 3071.51 ms [2020-11-26 14:52:44 main:581] : INFO : Epoch 181 | loss: 0.0450479 | val_loss: 0.0458909 | Time: 3052.71 ms [2020-11-26 14:52:47 main:581] : INFO : Epoch 182 | loss: 0.0453353 | val_loss: 0.0468357 | Time: 3130.03 ms [2020-11-26 14:52:50 main:581] : INFO : Epoch 183 | loss: 0.0452806 | val_loss: 0.0465114 | Time: 3017.54 ms [2020-11-26 14:52:53 main:581] : INFO : Epoch 184 | loss: 0.0465713 | val_loss: 0.0496941 | Time: 3213.33 ms [2020-11-26 14:52:56 main:581] : INFO : Epoch 185 | loss: 0.0492888 | val_loss: 0.0498232 | Time: 3017.78 ms [2020-11-26 14:52:59 main:581] : INFO : Epoch 186 | loss: 0.0492431 | val_loss: 0.0487984 | Time: 3107.32 ms [2020-11-26 14:53:02 main:581] : INFO : Epoch 187 | loss: 0.0487074 | val_loss: 0.0500142 | Time: 3117.6 ms [2020-11-26 14:53:05 main:581] : INFO : Epoch 188 | loss: 0.0494126 | val_loss: 0.0496451 | Time: 3062.79 ms [2020-11-26 14:53:08 main:581] : INFO : Epoch 189 | loss: 0.0492523 | val_loss: 0.0497913 | Time: 3059.62 ms [2020-11-26 14:53:12 main:581] : INFO : Epoch 190 | loss: 0.0495703 | val_loss: 0.0497432 | Time: 3070.02 ms [2020-11-26 14:53:15 main:581] : INFO : Epoch 191 | loss: 0.0493349 | val_loss: 0.0498841 | Time: 3235.57 ms [2020-11-26 14:53:18 main:581] : INFO : Epoch 192 | loss: 0.0493455 | val_loss: 0.0493407 | Time: 3094.47 ms [2020-11-26 14:53:18 main:604] : INFO : Saving trained model to model-final.pt, val_loss 0.0493407 [2020-11-26 14:53:18 main:610] : INFO : Saving end state to config to file [2020-11-26 14:53:18 main:615] : INFO : Success, exiting.. 14:53:18 (15126): 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)