Task 3076087
| Name | rand_automata_0025-1606117988-22454-99_0 |
| Workunit | 1404169 |
| Created | 26 Nov 2020, 23:21:44 UTC |
| Sent | 26 Nov 2020, 23:31:26 UTC |
| Report deadline | 3 Dec 2020, 23:31:26 UTC |
| Received | 26 Nov 2020, 23:41:51 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 | 9.99 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 18:31:44 main:442] : INFO : Set logging level to 1 [2020-11-26 18:31:44 main:448] : INFO : Running in BOINC Client mode [2020-11-26 18:31:44 main:451] : INFO : Resolving all filenames [2020-11-26 18:31:44 main:459] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-train-val-dataset.hdf5 (exists = 1) [2020-11-26 18:31:44 main:459] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-1606117988-22454-99_0_r673318664_1 (exists = 0) [2020-11-26 18:31:44 main:459] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-1606117988-22454-99_0_r673318664_0 (exists = 0) [2020-11-26 18:31:44 main:459] : INFO : Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-1606117988-22454-99 (exists = 1) [2020-11-26 18:31:44 main:459] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-26 18:31:44 main:479] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-train-val-dataset.hdf5 [2020-11-26 18:31:44 main:481] : INFO : Configuration: [2020-11-26 18:31:44 main:482] : INFO : Model type: LSTM [2020-11-26 18:31:44 main:483] : INFO : Validation Loss Threshold: 0.0001 [2020-11-26 18:31:44 main:484] : INFO : Max Epochs: 192 [2020-11-26 18:31:44 main:485] : INFO : Batch Size: 32 [2020-11-26 18:31:44 main:486] : INFO : Learning Rate: 0.001 [2020-11-26 18:31:44 main:487] : INFO : Patience: 10 [2020-11-26 18:31:44 main:488] : INFO : Hidden Width: 64 [2020-11-26 18:31:44 main:489] : INFO : # Recurrent Layers: 4 [2020-11-26 18:31:44 main:490] : INFO : # Backend Layers: 2 [2020-11-26 18:31:44 main:491] : INFO : # Threads: 1 [2020-11-26 18:31:44 main:493] : INFO : Preparing Dataset [2020-11-26 18:31:44 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 18:31:44 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 18:31:46 load:106] : INFO : Successfully loaded dataset of 4096 examples into memory. [2020-11-26 18:31:46 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 18:31:46 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 18:31:46 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-26 18:31:46 main:501] : INFO : Creating Model [2020-11-26 18:31:46 main:514] : INFO : Preparing config file [2020-11-26 18:31:46 main:526] : INFO : Creating new config file [2020-11-26 18:31:46 main:545] : INFO : This is a continuation WU, loading previous network [2020-11-26 18:31:47 main:566] : INFO : Loading DataLoader into Memory [2020-11-26 18:31:47 main:569] : INFO : Starting Training [2020-11-26 18:31:51 main:581] : INFO : Epoch 1 | loss: 0.0603486 | val_loss: 0.0602367 | Time: 4802.58 ms [2020-11-26 18:31:54 main:581] : INFO : Epoch 2 | loss: 0.0601136 | val_loss: 0.0599726 | Time: 3122.5 ms [2020-11-26 18:31:57 main:581] : INFO : Epoch 3 | loss: 0.0597504 | val_loss: 0.0596293 | Time: 3028.66 ms [2020-11-26 18:32:01 main:581] : INFO : Epoch 4 | loss: 0.059479 | val_loss: 0.0594585 | Time: 3043.48 ms [2020-11-26 18:32:04 main:581] : INFO : Epoch 5 | loss: 0.0593609 | val_loss: 0.0593007 | Time: 3092.57 ms [2020-11-26 18:32:07 main:581] : INFO : Epoch 6 | loss: 0.0591108 | val_loss: 0.0590122 | Time: 2975.85 ms [2020-11-26 18:32:10 main:581] : INFO : Epoch 7 | loss: 0.0590091 | val_loss: 0.0590341 | Time: 3024.85 ms [2020-11-26 18:32:13 main:581] : INFO : Epoch 8 | loss: 0.0588354 | val_loss: 0.0587946 | Time: 3134.59 ms [2020-11-26 18:32:16 main:581] : INFO : Epoch 9 | loss: 0.0586544 | val_loss: 0.0587367 | Time: 2987.27 ms [2020-11-26 18:32:19 main:581] : INFO : Epoch 10 | loss: 0.0587926 | val_loss: 0.0589186 | Time: 2998.43 ms [2020-11-26 18:32:22 main:581] : INFO : Epoch 11 | loss: 0.0591449 | val_loss: 0.0593547 | Time: 2978.54 ms [2020-11-26 18:32:25 main:581] : INFO : Epoch 12 | loss: 0.0592577 | val_loss: 0.0593558 | Time: 3045.42 ms [2020-11-26 18:32:28 main:581] : INFO : Epoch 13 | loss: 0.0592988 | val_loss: 0.0593829 | Time: 3523.14 ms [2020-11-26 18:32:31 main:581] : INFO : Epoch 14 | loss: 0.0593226 | val_loss: 0.0594071 | Time: 2940.55 ms [2020-11-26 18:32:34 main:581] : INFO : Epoch 15 | loss: 0.0592819 | val_loss: 0.0594083 | Time: 2999.39 ms [2020-11-26 18:32:37 main:581] : INFO : Epoch 16 | loss: 0.0592865 | val_loss: 0.0593389 | Time: 2964.05 ms [2020-11-26 18:32:40 main:581] : INFO : Epoch 17 | loss: 0.0592474 | val_loss: 0.0593136 | Time: 2963.22 ms [2020-11-26 18:32:43 main:581] : INFO : Epoch 18 | loss: 0.0592679 | val_loss: 0.0593837 | Time: 2972.31 ms [2020-11-26 18:32:46 main:581] : INFO : Epoch 19 | loss: 0.059583 | val_loss: 0.0598846 | Time: 2974.4 ms [2020-11-26 18:32:49 main:581] : INFO : Epoch 20 | loss: 0.0599555 | val_loss: 0.0600822 | Time: 2986.83 ms [2020-11-26 18:32:52 main:581] : INFO : Epoch 21 | loss: 0.0599968 | val_loss: 0.0600275 | Time: 3049.74 ms [2020-11-26 18:32:55 main:581] : INFO : Epoch 22 | loss: 0.0600177 | val_loss: 0.0601347 | Time: 3054.67 ms [2020-11-26 18:32:58 main:581] : INFO : Epoch 23 | loss: 0.0600196 | val_loss: 0.0601041 | Time: 3027.87 ms [2020-11-26 18:33:01 main:581] : INFO : Epoch 24 | loss: 0.0600317 | val_loss: 0.0601386 | Time: 2965.45 ms [2020-11-26 18:33:05 main:581] : INFO : Epoch 25 | loss: 0.0600628 | val_loss: 0.0601355 | Time: 3376.56 ms [2020-11-26 18:33:08 main:581] : INFO : Epoch 26 | loss: 0.0600541 | val_loss: 0.0601433 | Time: 2955.68 ms [2020-11-26 18:33:11 main:581] : INFO : Epoch 27 | loss: 0.060011 | val_loss: 0.0600643 | Time: 3028.66 ms [2020-11-26 18:33:14 main:581] : INFO : Epoch 28 | loss: 0.0599953 | val_loss: 0.0600809 | Time: 3119.91 ms [2020-11-26 18:33:17 main:581] : INFO : Epoch 29 | loss: 0.0599849 | val_loss: 0.060084 | Time: 3064.27 ms [2020-11-26 18:33:20 main:581] : INFO : Epoch 30 | loss: 0.0599969 | val_loss: 0.0601211 | Time: 3003.24 ms [2020-11-26 18:33:23 main:581] : INFO : Epoch 31 | loss: 0.0600128 | val_loss: 0.060099 | Time: 3060.09 ms [2020-11-26 18:33:26 main:581] : INFO : Epoch 32 | loss: 0.0600092 | val_loss: 0.060117 | Time: 3116.82 ms [2020-11-26 18:33:29 main:581] : INFO : Epoch 33 | loss: 0.0599521 | val_loss: 0.0600818 | Time: 3126.26 ms [2020-11-26 18:33:32 main:581] : INFO : Epoch 34 | loss: 0.0599675 | val_loss: 0.0600756 | Time: 2977.36 ms [2020-11-26 18:33:35 main:581] : INFO : Epoch 35 | loss: 0.059964 | val_loss: 0.0600748 | Time: 3050.6 ms [2020-11-26 18:33:38 main:581] : INFO : Epoch 36 | loss: 0.0599657 | val_loss: 0.0600673 | Time: 3111.16 ms [2020-11-26 18:33:41 main:581] : INFO : Epoch 37 | loss: 0.0599587 | val_loss: 0.0600657 | Time: 2996.95 ms [2020-11-26 18:33:44 main:581] : INFO : Epoch 38 | loss: 0.0599564 | val_loss: 0.0601 | Time: 3025.39 ms [2020-11-26 18:33:47 main:581] : INFO : Epoch 39 | loss: 0.0599521 | val_loss: 0.0600794 | Time: 2978.74 ms [2020-11-26 18:33:50 main:581] : INFO : Epoch 40 | loss: 0.0599373 | val_loss: 0.0600624 | Time: 3205.36 ms [2020-11-26 18:33:54 main:581] : INFO : Epoch 41 | loss: 0.0599413 | val_loss: 0.0600796 | Time: 3238.98 ms [2020-11-26 18:33:57 main:581] : INFO : Epoch 42 | loss: 0.0599374 | val_loss: 0.0600482 | Time: 3173.85 ms [2020-11-26 18:34:00 main:581] : INFO : Epoch 43 | loss: 0.0599244 | val_loss: 0.06003 | Time: 3026.26 ms [2020-11-26 18:34:03 main:581] : INFO : Epoch 44 | loss: 0.0599154 | val_loss: 0.0600121 | Time: 3064.06 ms [2020-11-26 18:34:06 main:581] : INFO : Epoch 45 | loss: 0.0599027 | val_loss: 0.0599827 | Time: 3047.46 ms [2020-11-26 18:34:09 main:581] : INFO : Epoch 46 | loss: 0.0598914 | val_loss: 0.0599868 | Time: 3044.18 ms [2020-11-26 18:34:12 main:581] : INFO : Epoch 47 | loss: 0.0599386 | val_loss: 0.0603137 | Time: 2988.41 ms [2020-11-26 18:34:15 main:581] : INFO : Epoch 48 | loss: 0.0601412 | val_loss: 0.0600847 | Time: 3069.03 ms [2020-11-26 18:34:18 main:581] : INFO : Epoch 49 | loss: 0.0599746 | val_loss: 0.0600294 | Time: 2979.36 ms [2020-11-26 18:34:21 main:581] : INFO : Epoch 50 | loss: 0.0599926 | val_loss: 0.060051 | Time: 3065.76 ms [2020-11-26 18:34:24 main:581] : INFO : Epoch 51 | loss: 0.0601112 | val_loss: 0.060264 | Time: 3010.59 ms [2020-11-26 18:34:27 main:581] : INFO : Epoch 52 | loss: 0.0602134 | val_loss: 0.0602743 | Time: 3037.14 ms [2020-11-26 18:34:30 main:581] : INFO : Epoch 53 | loss: 0.0602024 | val_loss: 0.0602518 | Time: 3099.89 ms [2020-11-26 18:34:33 main:581] : INFO : Epoch 54 | loss: 0.0601906 | val_loss: 0.0602488 | Time: 3209.65 ms [2020-11-26 18:34:37 main:581] : INFO : Epoch 55 | loss: 0.0601955 | val_loss: 0.0602242 | Time: 3080.44 ms [2020-11-26 18:34:40 main:581] : INFO : Epoch 56 | loss: 0.0601994 | val_loss: 0.0602421 | Time: 3120.62 ms [2020-11-26 18:34:43 main:581] : INFO : Epoch 57 | loss: 0.0602093 | val_loss: 0.060235 | Time: 3019.42 ms [2020-11-26 18:34:46 main:581] : INFO : Epoch 58 | loss: 0.0601988 | val_loss: 0.0602359 | Time: 3150.99 ms [2020-11-26 18:34:49 main:581] : INFO : Epoch 59 | loss: 0.0602211 | val_loss: 0.0602659 | Time: 2973.72 ms [2020-11-26 18:34:52 main:581] : INFO : Epoch 60 | loss: 0.0602224 | val_loss: 0.0602669 | Time: 3036.63 ms [2020-11-26 18:34:55 main:581] : INFO : Epoch 61 | loss: 0.0602055 | val_loss: 0.0602356 | Time: 3186.77 ms [2020-11-26 18:34:58 main:581] : INFO : Epoch 62 | loss: 0.0602102 | val_loss: 0.0602996 | Time: 3044.86 ms [2020-11-26 18:35:01 main:581] : INFO : Epoch 63 | loss: 0.0602351 | val_loss: 0.0602884 | Time: 2961.01 ms [2020-11-26 18:35:04 main:581] : INFO : Epoch 64 | loss: 0.0602335 | val_loss: 0.0602876 | Time: 3103.55 ms [2020-11-26 18:35:07 main:581] : INFO : Epoch 65 | loss: 0.06023 | val_loss: 0.0602905 | Time: 3017.82 ms [2020-11-26 18:35:11 main:581] : INFO : Epoch 66 | loss: 0.060243 | val_loss: 0.0603095 | Time: 3366.05 ms [2020-11-26 18:35:14 main:581] : INFO : Epoch 67 | loss: 0.0602578 | val_loss: 0.0603209 | Time: 3299.22 ms [2020-11-26 18:35:17 main:581] : INFO : Epoch 68 | loss: 0.0602742 | val_loss: 0.0603428 | Time: 3065.36 ms [2020-11-26 18:35:20 main:581] : INFO : Epoch 69 | loss: 0.0602725 | val_loss: 0.0603357 | Time: 3400.46 ms [2020-11-26 18:35:23 main:581] : INFO : Epoch 70 | loss: 0.0602662 | val_loss: 0.0603344 | Time: 3159.86 ms [2020-11-26 18:35:27 main:581] : INFO : Epoch 71 | loss: 0.0602567 | val_loss: 0.0604145 | Time: 3059.58 ms [2020-11-26 18:35:30 main:581] : INFO : Epoch 72 | loss: 0.0603348 | val_loss: 0.0603691 | Time: 3258.56 ms [2020-11-26 18:35:33 main:581] : INFO : Epoch 73 | loss: 0.0603106 | val_loss: 0.0603772 | Time: 3079.6 ms [2020-11-26 18:35:36 main:581] : INFO : Epoch 74 | loss: 0.0602943 | val_loss: 0.0603605 | Time: 3050.94 ms [2020-11-26 18:35:39 main:581] : INFO : Epoch 75 | loss: 0.0602977 | val_loss: 0.0603856 | Time: 3093.05 ms [2020-11-26 18:35:42 main:581] : INFO : Epoch 76 | loss: 0.0603319 | val_loss: 0.0603919 | Time: 2978.76 ms [2020-11-26 18:35:45 main:581] : INFO : Epoch 77 | loss: 0.0603433 | val_loss: 0.0603991 | Time: 2965.41 ms [2020-11-26 18:35:48 main:581] : INFO : Epoch 78 | loss: 0.0603404 | val_loss: 0.0604025 | Time: 3116.79 ms [2020-11-26 18:35:51 main:581] : INFO : Epoch 79 | loss: 0.0603356 | val_loss: 0.0604064 | Time: 3082.93 ms [2020-11-26 18:35:54 main:581] : INFO : Epoch 80 | loss: 0.060333 | val_loss: 0.0603934 | Time: 3102.64 ms [2020-11-26 18:35:57 main:581] : INFO : Epoch 81 | loss: 0.0603165 | val_loss: 0.0603798 | Time: 3030.55 ms [2020-11-26 18:36:00 main:581] : INFO : Epoch 82 | loss: 0.0602979 | val_loss: 0.0603627 | Time: 3026.37 ms [2020-11-26 18:36:04 main:581] : INFO : Epoch 83 | loss: 0.0602864 | val_loss: 0.060343 | Time: 3338.11 ms [2020-11-26 18:36:07 main:581] : INFO : Epoch 84 | loss: 0.0602632 | val_loss: 0.0603524 | Time: 3466.3 ms [2020-11-26 18:36:10 main:581] : INFO : Epoch 85 | loss: 0.0602395 | val_loss: 0.0603089 | Time: 2980.43 ms [2020-11-26 18:36:13 main:581] : INFO : Epoch 86 | loss: 0.0602596 | val_loss: 0.0603641 | Time: 3044.47 ms [2020-11-26 18:36:16 main:581] : INFO : Epoch 87 | loss: 0.0602938 | val_loss: 0.0603422 | Time: 3013.29 ms [2020-11-26 18:36:19 main:581] : INFO : Epoch 88 | loss: 0.0603049 | val_loss: 0.0603766 | Time: 3014.24 ms [2020-11-26 18:36:22 main:581] : INFO : Epoch 89 | loss: 0.060287 | val_loss: 0.0603524 | Time: 2969.64 ms [2020-11-26 18:36:25 main:581] : INFO : Epoch 90 | loss: 0.0602527 | val_loss: 0.06032 | Time: 3123.81 ms [2020-11-26 18:36:29 main:581] : INFO : Epoch 91 | loss: 0.0602179 | val_loss: 0.0602696 | Time: 3343.26 ms [2020-11-26 18:36:32 main:581] : INFO : Epoch 92 | loss: 0.0601906 | val_loss: 0.0602454 | Time: 3001.72 ms [2020-11-26 18:36:35 main:581] : INFO : Epoch 93 | loss: 0.0601638 | val_loss: 0.0602479 | Time: 2997.05 ms [2020-11-26 18:36:38 main:581] : INFO : Epoch 94 | loss: 0.0601971 | val_loss: 0.0602225 | Time: 3062.02 ms [2020-11-26 18:36:41 main:581] : INFO : Epoch 95 | loss: 0.0601676 | val_loss: 0.0602128 | Time: 3081.33 ms [2020-11-26 18:36:44 main:581] : INFO : Epoch 96 | loss: 0.0601504 | val_loss: 0.0601883 | Time: 3062.83 ms [2020-11-26 18:36:47 main:581] : INFO : Epoch 97 | loss: 0.0601334 | val_loss: 0.0601844 | Time: 3031.17 ms [2020-11-26 18:36:50 main:581] : INFO : Epoch 98 | loss: 0.0601363 | val_loss: 0.0601883 | Time: 3175.01 ms [2020-11-26 18:36:53 main:581] : INFO : Epoch 99 | loss: 0.0601262 | val_loss: 0.0601747 | Time: 3068.27 ms [2020-11-26 18:36:56 main:581] : INFO : Epoch 100 | loss: 0.0600974 | val_loss: 0.060151 | Time: 3013.11 ms [2020-11-26 18:36:59 main:581] : INFO : Epoch 101 | loss: 0.0600807 | val_loss: 0.0601162 | Time: 2977.42 ms [2020-11-26 18:37:02 main:581] : INFO : Epoch 102 | loss: 0.0600605 | val_loss: 0.0601081 | Time: 3133.36 ms [2020-11-26 18:37:05 main:581] : INFO : Epoch 103 | loss: 0.0600326 | val_loss: 0.06008 | Time: 3181.61 ms [2020-11-26 18:37:08 main:581] : INFO : Epoch 104 | loss: 0.0600157 | val_loss: 0.0600803 | Time: 3035.79 ms [2020-11-26 18:37:11 main:581] : INFO : Epoch 105 | loss: 0.0600229 | val_loss: 0.06006 | Time: 3043.97 ms [2020-11-26 18:37:15 main:581] : INFO : Epoch 106 | loss: 0.0599949 | val_loss: 0.0600312 | Time: 3098.25 ms [2020-11-26 18:37:18 main:581] : INFO : Epoch 107 | loss: 0.0599679 | val_loss: 0.060038 | Time: 3223.37 ms [2020-11-26 18:37:21 main:581] : INFO : Epoch 108 | loss: 0.0599467 | val_loss: 0.059982 | Time: 3112.58 ms [2020-11-26 18:37:24 main:581] : INFO : Epoch 109 | loss: 0.0599007 | val_loss: 0.0599991 | Time: 3106.31 ms [2020-11-26 18:37:27 main:581] : INFO : Epoch 110 | loss: 0.0599629 | val_loss: 0.0599933 | Time: 3124.95 ms [2020-11-26 18:37:30 main:581] : INFO : Epoch 111 | loss: 0.0599038 | val_loss: 0.0599082 | Time: 3193.32 ms [2020-11-26 18:37:33 main:581] : INFO : Epoch 112 | loss: 0.0598587 | val_loss: 0.05987 | Time: 3133.82 ms [2020-11-26 18:37:36 main:581] : INFO : Epoch 113 | loss: 0.0598222 | val_loss: 0.059843 | Time: 3013.66 ms [2020-11-26 18:37:40 main:581] : INFO : Epoch 114 | loss: 0.0597863 | val_loss: 0.0598181 | Time: 3036.3 ms [2020-11-26 18:37:43 main:581] : INFO : Epoch 115 | loss: 0.0597544 | val_loss: 0.0598002 | Time: 3120.11 ms [2020-11-26 18:37:46 main:581] : INFO : Epoch 116 | loss: 0.059709 | val_loss: 0.0597587 | Time: 3058.59 ms [2020-11-26 18:37:49 main:581] : INFO : Epoch 117 | loss: 0.0596667 | val_loss: 0.0596974 | Time: 3184.15 ms [2020-11-26 18:37:52 main:581] : INFO : Epoch 118 | loss: 0.0596005 | val_loss: 0.0596515 | Time: 3169.39 ms [2020-11-26 18:37:55 main:581] : INFO : Epoch 119 | loss: 0.0595438 | val_loss: 0.059578 | Time: 3209.9 ms [2020-11-26 18:37:58 main:581] : INFO : Epoch 120 | loss: 0.0594928 | val_loss: 0.0595656 | Time: 3026.2 ms [2020-11-26 18:38:01 main:581] : INFO : Epoch 121 | loss: 0.0594714 | val_loss: 0.0595314 | Time: 2972.66 ms [2020-11-26 18:38:04 main:581] : INFO : Epoch 122 | loss: 0.0594305 | val_loss: 0.0594813 | Time: 2995.45 ms [2020-11-26 18:38:07 main:581] : INFO : Epoch 123 | loss: 0.0593573 | val_loss: 0.0594245 | Time: 3098.11 ms [2020-11-26 18:38:10 main:581] : INFO : Epoch 124 | loss: 0.0592886 | val_loss: 0.0593575 | Time: 2978.65 ms [2020-11-26 18:38:13 main:581] : INFO : Epoch 125 | loss: 0.0592279 | val_loss: 0.0593082 | Time: 3103.41 ms [2020-11-26 18:38:17 main:581] : INFO : Epoch 126 | loss: 0.0591624 | val_loss: 0.0592329 | Time: 3073.32 ms [2020-11-26 18:38:20 main:581] : INFO : Epoch 127 | loss: 0.059087 | val_loss: 0.0591722 | Time: 3034.39 ms [2020-11-26 18:38:23 main:581] : INFO : Epoch 128 | loss: 0.0590224 | val_loss: 0.0591152 | Time: 3005.29 ms [2020-11-26 18:38:26 main:581] : INFO : Epoch 129 | loss: 0.0589887 | val_loss: 0.0590972 | Time: 3188.55 ms [2020-11-26 18:38:29 main:581] : INFO : Epoch 130 | loss: 0.0589056 | val_loss: 0.0590562 | Time: 3262.02 ms [2020-11-26 18:38:32 main:581] : INFO : Epoch 131 | loss: 0.0590362 | val_loss: 0.0590949 | Time: 3146.24 ms [2020-11-26 18:38:35 main:581] : INFO : Epoch 132 | loss: 0.0589652 | val_loss: 0.0590264 | Time: 3138.14 ms [2020-11-26 18:38:39 main:581] : INFO : Epoch 133 | loss: 0.0588897 | val_loss: 0.0589282 | Time: 3225.62 ms [2020-11-26 18:38:42 main:581] : INFO : Epoch 134 | loss: 0.058813 | val_loss: 0.058845 | Time: 3020.07 ms [2020-11-26 18:38:45 main:581] : INFO : Epoch 135 | loss: 0.058745 | val_loss: 0.0588055 | Time: 2991.76 ms [2020-11-26 18:38:47 main:581] : INFO : Epoch 136 | loss: 0.0586766 | val_loss: 0.0587371 | Time: 2973.39 ms [2020-11-26 18:38:51 main:581] : INFO : Epoch 137 | loss: 0.0585943 | val_loss: 0.0586509 | Time: 3110.13 ms [2020-11-26 18:38:54 main:581] : INFO : Epoch 138 | loss: 0.0585378 | val_loss: 0.0586628 | Time: 3103.73 ms [2020-11-26 18:38:57 main:581] : INFO : Epoch 139 | loss: 0.0585291 | val_loss: 0.0585956 | Time: 3124.44 ms [2020-11-26 18:39:00 main:581] : INFO : Epoch 140 | loss: 0.058433 | val_loss: 0.0585165 | Time: 2997.28 ms [2020-11-26 18:39:03 main:581] : INFO : Epoch 141 | loss: 0.0583321 | val_loss: 0.0584426 | Time: 2991.86 ms [2020-11-26 18:39:06 main:581] : INFO : Epoch 142 | loss: 0.0582368 | val_loss: 0.0583145 | Time: 3010.79 ms [2020-11-26 18:39:09 main:581] : INFO : Epoch 143 | loss: 0.0580998 | val_loss: 0.0581709 | Time: 3084.06 ms [2020-11-26 18:39:12 main:581] : INFO : Epoch 144 | loss: 0.0579718 | val_loss: 0.0580946 | Time: 3058.07 ms [2020-11-26 18:39:15 main:581] : INFO : Epoch 145 | loss: 0.0578521 | val_loss: 0.0579637 | Time: 3070.08 ms [2020-11-26 18:39:18 main:581] : INFO : Epoch 146 | loss: 0.0577296 | val_loss: 0.0578714 | Time: 3000.56 ms [2020-11-26 18:39:21 main:581] : INFO : Epoch 147 | loss: 0.0575953 | val_loss: 0.0577323 | Time: 3064.72 ms [2020-11-26 18:39:24 main:581] : INFO : Epoch 148 | loss: 0.0574513 | val_loss: 0.0575876 | Time: 2996.97 ms [2020-11-26 18:39:27 main:581] : INFO : Epoch 149 | loss: 0.0573382 | val_loss: 0.0574498 | Time: 3217.43 ms [2020-11-26 18:39:30 main:581] : INFO : Epoch 150 | loss: 0.0571886 | val_loss: 0.0572943 | Time: 3072.96 ms [2020-11-26 18:39:33 main:581] : INFO : Epoch 151 | loss: 0.0570095 | val_loss: 0.0571059 | Time: 3081.04 ms [2020-11-26 18:39:36 main:581] : INFO : Epoch 152 | loss: 0.056959 | val_loss: 0.0571069 | Time: 2980.99 ms [2020-11-26 18:39:39 main:581] : INFO : Epoch 153 | loss: 0.0568556 | val_loss: 0.0569689 | Time: 3028.58 ms [2020-11-26 18:39:42 main:581] : INFO : Epoch 154 | loss: 0.0567758 | val_loss: 0.0570262 | Time: 2979.26 ms [2020-11-26 18:39:45 main:581] : INFO : Epoch 155 | loss: 0.0567952 | val_loss: 0.0567485 | Time: 2947.61 ms [2020-11-26 18:39:48 main:581] : INFO : Epoch 156 | loss: 0.0565182 | val_loss: 0.0565808 | Time: 2958.02 ms [2020-11-26 18:39:51 main:581] : INFO : Epoch 157 | loss: 0.0563202 | val_loss: 0.0563678 | Time: 2971.44 ms [2020-11-26 18:39:54 main:581] : INFO : Epoch 158 | loss: 0.0562049 | val_loss: 0.0563885 | Time: 2949.21 ms [2020-11-26 18:39:57 main:581] : INFO : Epoch 159 | loss: 0.0561483 | val_loss: 0.0561769 | Time: 2955.24 ms [2020-11-26 18:40:00 main:581] : INFO : Epoch 160 | loss: 0.0558933 | val_loss: 0.0560281 | Time: 3051.75 ms [2020-11-26 18:40:03 main:581] : INFO : Epoch 161 | loss: 0.0557852 | val_loss: 0.0557968 | Time: 2983 ms [2020-11-26 18:40:06 main:581] : INFO : Epoch 162 | loss: 0.0558001 | val_loss: 0.0560713 | Time: 3187.99 ms [2020-11-26 18:40:10 main:581] : INFO : Epoch 163 | loss: 0.0560425 | val_loss: 0.0559828 | Time: 3060.08 ms [2020-11-26 18:40:13 main:581] : INFO : Epoch 164 | loss: 0.0559021 | val_loss: 0.0559217 | Time: 3110.25 ms [2020-11-26 18:40:16 main:581] : INFO : Epoch 165 | loss: 0.0558041 | val_loss: 0.0559297 | Time: 3038.77 ms [2020-11-26 18:40:19 main:581] : INFO : Epoch 166 | loss: 0.0557932 | val_loss: 0.056052 | Time: 3260.7 ms [2020-11-26 18:40:22 main:581] : INFO : Epoch 167 | loss: 0.0560753 | val_loss: 0.0562061 | Time: 3138.43 ms [2020-11-26 18:40:25 main:581] : INFO : Epoch 168 | loss: 0.0560613 | val_loss: 0.0561247 | Time: 3119.95 ms [2020-11-26 18:40:28 main:581] : INFO : Epoch 169 | loss: 0.0559987 | val_loss: 0.0560871 | Time: 2993.04 ms [2020-11-26 18:40:31 main:581] : INFO : Epoch 170 | loss: 0.0560138 | val_loss: 0.0561141 | Time: 3114.95 ms [2020-11-26 18:40:34 main:581] : INFO : Epoch 171 | loss: 0.056032 | val_loss: 0.0560972 | Time: 3074.28 ms [2020-11-26 18:40:37 main:581] : INFO : Epoch 172 | loss: 0.0559887 | val_loss: 0.0560328 | Time: 3092.77 ms [2020-11-26 18:40:41 main:581] : INFO : Epoch 173 | loss: 0.0559322 | val_loss: 0.0560052 | Time: 3174.97 ms [2020-11-26 18:40:44 main:581] : INFO : Epoch 174 | loss: 0.055845 | val_loss: 0.0559157 | Time: 3315.2 ms [2020-11-26 18:40:47 main:581] : INFO : Epoch 175 | loss: 0.0558482 | val_loss: 0.0559575 | Time: 3063.83 ms [2020-11-26 18:40:50 main:581] : INFO : Epoch 176 | loss: 0.0558347 | val_loss: 0.055915 | Time: 3057.14 ms [2020-11-26 18:40:53 main:581] : INFO : Epoch 177 | loss: 0.0557214 | val_loss: 0.0557833 | Time: 3068.3 ms [2020-11-26 18:40:56 main:581] : INFO : Epoch 178 | loss: 0.055608 | val_loss: 0.055659 | Time: 2970.46 ms [2020-11-26 18:40:59 main:581] : INFO : Epoch 179 | loss: 0.0555288 | val_loss: 0.0555359 | Time: 3013.22 ms [2020-11-26 18:41:02 main:581] : INFO : Epoch 180 | loss: 0.0553318 | val_loss: 0.055356 | Time: 3039.64 ms [2020-11-26 18:41:05 main:581] : INFO : Epoch 181 | loss: 0.0552594 | val_loss: 0.0553353 | Time: 3136.13 ms [2020-11-26 18:41:08 main:581] : INFO : Epoch 182 | loss: 0.0551901 | val_loss: 0.0551827 | Time: 3131.21 ms [2020-11-26 18:41:12 main:581] : INFO : Epoch 183 | loss: 0.055125 | val_loss: 0.0551755 | Time: 3365.37 ms [2020-11-26 18:41:15 main:581] : INFO : Epoch 184 | loss: 0.0550873 | val_loss: 0.0551451 | Time: 3100.98 ms [2020-11-26 18:41:18 main:581] : INFO : Epoch 185 | loss: 0.0549672 | val_loss: 0.0549252 | Time: 3120.86 ms [2020-11-26 18:41:21 main:581] : INFO : Epoch 186 | loss: 0.0548613 | val_loss: 0.05492 | Time: 3121.26 ms [2020-11-26 18:41:24 main:581] : INFO : Epoch 187 | loss: 0.0547849 | val_loss: 0.0549661 | Time: 3015.95 ms [2020-11-26 18:41:27 main:581] : INFO : Epoch 188 | loss: 0.0546378 | val_loss: 0.054757 | Time: 3009.94 ms [2020-11-26 18:41:30 main:581] : INFO : Epoch 189 | loss: 0.0546578 | val_loss: 0.054775 | Time: 2995.39 ms [2020-11-26 18:41:33 main:581] : INFO : Epoch 190 | loss: 0.0545872 | val_loss: 0.054721 | Time: 2974.17 ms [2020-11-26 18:41:36 main:581] : INFO : Epoch 191 | loss: 0.0545135 | val_loss: 0.0547523 | Time: 3008.53 ms [2020-11-26 18:41:40 main:581] : INFO : Epoch 192 | loss: 0.0544798 | val_loss: 0.0547645 | Time: 3347.71 ms [2020-11-26 18:41:40 main:604] : INFO : Saving trained model to model-final.pt, val_loss 0.0547645 [2020-11-26 18:41:40 main:610] : INFO : Saving end state to config to file [2020-11-26 18:41:40 main:615] : INFO : Success, exiting.. 18:41:40 (15675): 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)