Task 3075958
| Name | rand_automata_0025-1606117988-22454-98_0 |
| Workunit | 1404054 |
| Created | 26 Nov 2020, 23:00:57 UTC |
| Sent | 26 Nov 2020, 23:10:48 UTC |
| Report deadline | 3 Dec 2020, 23:10:48 UTC |
| Received | 26 Nov 2020, 23:21:12 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 4754 |
| Run time | 9 min 52 sec |
| CPU time | 9 min 48 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 18:11:08 main:442] : INFO : Set logging level to 1 [2020-11-26 18:11:08 main:448] : INFO : Running in BOINC Client mode [2020-11-26 18:11:08 main:451] : INFO : Resolving all filenames [2020-11-26 18:11:08 main:459] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-train-val-dataset.hdf5 (exists = 1) [2020-11-26 18:11:08 main:459] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-1606117988-22454-98_0_r1825832785_1 (exists = 0) [2020-11-26 18:11:08 main:459] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-1606117988-22454-98_0_r1825832785_0 (exists = 0) [2020-11-26 18:11:08 main:459] : INFO : Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-1606117988-22454-98 (exists = 1) [2020-11-26 18:11:08 main:459] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-26 18:11:08 main:479] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-train-val-dataset.hdf5 [2020-11-26 18:11:08 main:481] : INFO : Configuration: [2020-11-26 18:11:08 main:482] : INFO : Model type: LSTM [2020-11-26 18:11:08 main:483] : INFO : Validation Loss Threshold: 0.0001 [2020-11-26 18:11:08 main:484] : INFO : Max Epochs: 192 [2020-11-26 18:11:08 main:485] : INFO : Batch Size: 32 [2020-11-26 18:11:08 main:486] : INFO : Learning Rate: 0.001 [2020-11-26 18:11:08 main:487] : INFO : Patience: 10 [2020-11-26 18:11:08 main:488] : INFO : Hidden Width: 64 [2020-11-26 18:11:08 main:489] : INFO : # Recurrent Layers: 4 [2020-11-26 18:11:08 main:490] : INFO : # Backend Layers: 2 [2020-11-26 18:11:08 main:491] : INFO : # Threads: 1 [2020-11-26 18:11:08 main:493] : INFO : Preparing Dataset [2020-11-26 18:11:08 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 18:11:08 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 18:11:11 load:106] : INFO : Successfully loaded dataset of 4096 examples into memory. [2020-11-26 18:11:11 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 18:11:11 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 18:11:11 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-26 18:11:11 main:501] : INFO : Creating Model [2020-11-26 18:11:11 main:514] : INFO : Preparing config file [2020-11-26 18:11:11 main:526] : INFO : Creating new config file [2020-11-26 18:11:11 main:545] : INFO : This is a continuation WU, loading previous network [2020-11-26 18:11:11 main:566] : INFO : Loading DataLoader into Memory [2020-11-26 18:11:11 main:569] : INFO : Starting Training [2020-11-26 18:11:18 main:581] : INFO : Epoch 1 | loss: 0.056414 | val_loss: 0.0562057 | Time: 6650.47 ms [2020-11-26 18:11:21 main:581] : INFO : Epoch 2 | loss: 0.0562307 | val_loss: 0.0561682 | Time: 3059.22 ms [2020-11-26 18:11:24 main:581] : INFO : Epoch 3 | loss: 0.0562399 | val_loss: 0.0562241 | Time: 3000.43 ms [2020-11-26 18:11:27 main:581] : INFO : Epoch 4 | loss: 0.0562259 | val_loss: 0.0562381 | Time: 3090.45 ms [2020-11-26 18:11:30 main:581] : INFO : Epoch 5 | loss: 0.0561742 | val_loss: 0.0561068 | Time: 3245.37 ms [2020-11-26 18:11:33 main:581] : INFO : Epoch 6 | loss: 0.0560783 | val_loss: 0.0559386 | Time: 3080.83 ms [2020-11-26 18:11:36 main:581] : INFO : Epoch 7 | loss: 0.0559335 | val_loss: 0.0559559 | Time: 3163.94 ms [2020-11-26 18:11:39 main:581] : INFO : Epoch 8 | loss: 0.0559476 | val_loss: 0.0559354 | Time: 3011.93 ms [2020-11-26 18:11:42 main:581] : INFO : Epoch 9 | loss: 0.0559693 | val_loss: 0.0560507 | Time: 2991.6 ms [2020-11-26 18:11:45 main:581] : INFO : Epoch 10 | loss: 0.0560736 | val_loss: 0.0560446 | Time: 3031.79 ms [2020-11-26 18:11:48 main:581] : INFO : Epoch 11 | loss: 0.0560562 | val_loss: 0.0559176 | Time: 3100.61 ms [2020-11-26 18:11:51 main:581] : INFO : Epoch 12 | loss: 0.0560635 | val_loss: 0.0561144 | Time: 3003.36 ms [2020-11-26 18:11:54 main:581] : INFO : Epoch 13 | loss: 0.0560519 | val_loss: 0.0561223 | Time: 3017.02 ms [2020-11-26 18:11:57 main:581] : INFO : Epoch 14 | loss: 0.0560683 | val_loss: 0.0561161 | Time: 2996.98 ms [2020-11-26 18:12:00 main:581] : INFO : Epoch 15 | loss: 0.0561522 | val_loss: 0.0561358 | Time: 3058.37 ms [2020-11-26 18:12:03 main:581] : INFO : Epoch 16 | loss: 0.0561425 | val_loss: 0.0562471 | Time: 3049.53 ms [2020-11-26 18:12:07 main:581] : INFO : Epoch 17 | loss: 0.0563335 | val_loss: 0.0565757 | Time: 3012.68 ms [2020-11-26 18:12:10 main:581] : INFO : Epoch 18 | loss: 0.0566066 | val_loss: 0.0564934 | Time: 3019.56 ms [2020-11-26 18:12:13 main:581] : INFO : Epoch 19 | loss: 0.0564777 | val_loss: 0.0564998 | Time: 3004.98 ms [2020-11-26 18:12:16 main:581] : INFO : Epoch 20 | loss: 0.0566501 | val_loss: 0.0572044 | Time: 3038.7 ms [2020-11-26 18:12:19 main:581] : INFO : Epoch 21 | loss: 0.0575958 | val_loss: 0.05811 | Time: 3044.27 ms [2020-11-26 18:12:22 main:581] : INFO : Epoch 22 | loss: 0.0581604 | val_loss: 0.0581526 | Time: 2986.64 ms [2020-11-26 18:12:25 main:581] : INFO : Epoch 23 | loss: 0.0583395 | val_loss: 0.0586532 | Time: 3051.62 ms [2020-11-26 18:12:28 main:581] : INFO : Epoch 24 | loss: 0.0588318 | val_loss: 0.0589929 | Time: 3031.27 ms [2020-11-26 18:12:31 main:581] : INFO : Epoch 25 | loss: 0.0589354 | val_loss: 0.0589561 | Time: 3009.07 ms [2020-11-26 18:12:34 main:581] : INFO : Epoch 26 | loss: 0.0588951 | val_loss: 0.0589237 | Time: 3011.43 ms [2020-11-26 18:12:37 main:581] : INFO : Epoch 27 | loss: 0.0589512 | val_loss: 0.0589409 | Time: 2990.2 ms [2020-11-26 18:12:40 main:581] : INFO : Epoch 28 | loss: 0.058972 | val_loss: 0.058961 | Time: 3020.93 ms [2020-11-26 18:12:43 main:581] : INFO : Epoch 29 | loss: 0.0589572 | val_loss: 0.0589657 | Time: 2990.07 ms [2020-11-26 18:12:46 main:581] : INFO : Epoch 30 | loss: 0.0589637 | val_loss: 0.0589808 | Time: 3177.31 ms [2020-11-26 18:12:49 main:581] : INFO : Epoch 31 | loss: 0.0589953 | val_loss: 0.0590067 | Time: 2988.36 ms [2020-11-26 18:12:52 main:581] : INFO : Epoch 32 | loss: 0.059013 | val_loss: 0.0590268 | Time: 2987.57 ms [2020-11-26 18:12:55 main:581] : INFO : Epoch 33 | loss: 0.059012 | val_loss: 0.0590218 | Time: 2946.62 ms [2020-11-26 18:12:58 main:581] : INFO : Epoch 34 | loss: 0.0589855 | val_loss: 0.0590146 | Time: 3171.93 ms [2020-11-26 18:13:01 main:581] : INFO : Epoch 35 | loss: 0.058986 | val_loss: 0.0590402 | Time: 3034.77 ms [2020-11-26 18:13:04 main:581] : INFO : Epoch 36 | loss: 0.0590044 | val_loss: 0.0589491 | Time: 2999.9 ms [2020-11-26 18:13:07 main:581] : INFO : Epoch 37 | loss: 0.0589801 | val_loss: 0.0589261 | Time: 3020.79 ms [2020-11-26 18:13:10 main:581] : INFO : Epoch 38 | loss: 0.0589277 | val_loss: 0.0589123 | Time: 3011.95 ms [2020-11-26 18:13:13 main:581] : INFO : Epoch 39 | loss: 0.0589038 | val_loss: 0.05891 | Time: 3040.06 ms [2020-11-26 18:13:16 main:581] : INFO : Epoch 40 | loss: 0.0588875 | val_loss: 0.0588898 | Time: 2980.94 ms [2020-11-26 18:13:19 main:581] : INFO : Epoch 41 | loss: 0.0589194 | val_loss: 0.058968 | Time: 3073.98 ms [2020-11-26 18:13:22 main:581] : INFO : Epoch 42 | loss: 0.0590055 | val_loss: 0.0589768 | Time: 3086.81 ms [2020-11-26 18:13:25 main:581] : INFO : Epoch 43 | loss: 0.0590452 | val_loss: 0.059119 | Time: 3159.97 ms [2020-11-26 18:13:28 main:581] : INFO : Epoch 44 | loss: 0.0591816 | val_loss: 0.059231 | Time: 2938.64 ms [2020-11-26 18:13:31 main:581] : INFO : Epoch 45 | loss: 0.0592192 | val_loss: 0.0592076 | Time: 3047.7 ms [2020-11-26 18:13:34 main:581] : INFO : Epoch 46 | loss: 0.059235 | val_loss: 0.0592597 | Time: 3056.92 ms [2020-11-26 18:13:37 main:581] : INFO : Epoch 47 | loss: 0.0592309 | val_loss: 0.0592488 | Time: 3022.71 ms [2020-11-26 18:13:40 main:581] : INFO : Epoch 48 | loss: 0.0592568 | val_loss: 0.0593279 | Time: 2963.69 ms [2020-11-26 18:13:43 main:581] : INFO : Epoch 49 | loss: 0.0593303 | val_loss: 0.0593354 | Time: 2995.61 ms [2020-11-26 18:13:47 main:581] : INFO : Epoch 50 | loss: 0.0593291 | val_loss: 0.0593473 | Time: 3373.47 ms [2020-11-26 18:13:50 main:581] : INFO : Epoch 51 | loss: 0.0595058 | val_loss: 0.0595796 | Time: 2953.18 ms [2020-11-26 18:13:53 main:581] : INFO : Epoch 52 | loss: 0.059558 | val_loss: 0.0595082 | Time: 2949.42 ms [2020-11-26 18:13:56 main:581] : INFO : Epoch 53 | loss: 0.0597115 | val_loss: 0.0598712 | Time: 2938 ms [2020-11-26 18:13:59 main:581] : INFO : Epoch 54 | loss: 0.0599284 | val_loss: 0.0601568 | Time: 2982.05 ms [2020-11-26 18:14:02 main:581] : INFO : Epoch 55 | loss: 0.0601232 | val_loss: 0.0601419 | Time: 3058.48 ms [2020-11-26 18:14:05 main:581] : INFO : Epoch 56 | loss: 0.0601064 | val_loss: 0.0601352 | Time: 3042.07 ms [2020-11-26 18:14:08 main:581] : INFO : Epoch 57 | loss: 0.0601052 | val_loss: 0.0601534 | Time: 2997.31 ms [2020-11-26 18:14:11 main:581] : INFO : Epoch 58 | loss: 0.0601086 | val_loss: 0.0601676 | Time: 3049.61 ms [2020-11-26 18:14:14 main:581] : INFO : Epoch 59 | loss: 0.0601125 | val_loss: 0.0601803 | Time: 3062.25 ms [2020-11-26 18:14:17 main:581] : INFO : Epoch 60 | loss: 0.0601261 | val_loss: 0.0601756 | Time: 3107.04 ms [2020-11-26 18:14:20 main:581] : INFO : Epoch 61 | loss: 0.0601758 | val_loss: 0.0602504 | Time: 3051.51 ms [2020-11-26 18:14:23 main:581] : INFO : Epoch 62 | loss: 0.0602044 | val_loss: 0.0602284 | Time: 2962.94 ms [2020-11-26 18:14:26 main:581] : INFO : Epoch 63 | loss: 0.0602042 | val_loss: 0.0602289 | Time: 3025.9 ms [2020-11-26 18:14:29 main:581] : INFO : Epoch 64 | loss: 0.0602048 | val_loss: 0.0602127 | Time: 3047.42 ms [2020-11-26 18:14:32 main:581] : INFO : Epoch 65 | loss: 0.0601952 | val_loss: 0.0602149 | Time: 2982.45 ms [2020-11-26 18:14:35 main:581] : INFO : Epoch 66 | loss: 0.0602269 | val_loss: 0.0602629 | Time: 3038.74 ms [2020-11-26 18:14:38 main:581] : INFO : Epoch 67 | loss: 0.060216 | val_loss: 0.0602633 | Time: 2950.03 ms [2020-11-26 18:14:41 main:581] : INFO : Epoch 68 | loss: 0.0602047 | val_loss: 0.060253 | Time: 2980.41 ms [2020-11-26 18:14:44 main:581] : INFO : Epoch 69 | loss: 0.0602202 | val_loss: 0.0602581 | Time: 2974.24 ms [2020-11-26 18:14:47 main:581] : INFO : Epoch 70 | loss: 0.0602367 | val_loss: 0.0602695 | Time: 2998.03 ms [2020-11-26 18:14:50 main:581] : INFO : Epoch 71 | loss: 0.0602312 | val_loss: 0.0602688 | Time: 3031.89 ms [2020-11-26 18:14:53 main:581] : INFO : Epoch 72 | loss: 0.0602244 | val_loss: 0.0602449 | Time: 3137.57 ms [2020-11-26 18:14:57 main:581] : INFO : Epoch 73 | loss: 0.0602109 | val_loss: 0.060251 | Time: 3410.86 ms [2020-11-26 18:14:59 main:581] : INFO : Epoch 74 | loss: 0.0602202 | val_loss: 0.0602579 | Time: 2951.44 ms [2020-11-26 18:15:03 main:581] : INFO : Epoch 75 | loss: 0.0602147 | val_loss: 0.0602437 | Time: 3109.67 ms [2020-11-26 18:15:06 main:581] : INFO : Epoch 76 | loss: 0.0602055 | val_loss: 0.0602523 | Time: 3265.7 ms [2020-11-26 18:15:09 main:581] : INFO : Epoch 77 | loss: 0.0602337 | val_loss: 0.0602676 | Time: 2972.34 ms [2020-11-26 18:15:12 main:581] : INFO : Epoch 78 | loss: 0.0602364 | val_loss: 0.0602712 | Time: 2973.52 ms [2020-11-26 18:15:15 main:581] : INFO : Epoch 79 | loss: 0.0602413 | val_loss: 0.0602725 | Time: 3042.48 ms [2020-11-26 18:15:18 main:581] : INFO : Epoch 80 | loss: 0.0602422 | val_loss: 0.0602792 | Time: 3003.22 ms [2020-11-26 18:15:21 main:581] : INFO : Epoch 81 | loss: 0.0602532 | val_loss: 0.0603169 | Time: 3038.5 ms [2020-11-26 18:15:24 main:581] : INFO : Epoch 82 | loss: 0.0602898 | val_loss: 0.0603728 | Time: 3045.61 ms [2020-11-26 18:15:27 main:581] : INFO : Epoch 83 | loss: 0.0603606 | val_loss: 0.0604624 | Time: 3093.48 ms [2020-11-26 18:15:30 main:581] : INFO : Epoch 84 | loss: 0.0605007 | val_loss: 0.0605411 | Time: 2983.6 ms [2020-11-26 18:15:33 main:581] : INFO : Epoch 85 | loss: 0.0605123 | val_loss: 0.0605858 | Time: 3112.02 ms [2020-11-26 18:15:36 main:581] : INFO : Epoch 86 | loss: 0.0605541 | val_loss: 0.0605915 | Time: 3025.45 ms [2020-11-26 18:15:39 main:581] : INFO : Epoch 87 | loss: 0.0605489 | val_loss: 0.0605801 | Time: 3045.92 ms [2020-11-26 18:15:42 main:581] : INFO : Epoch 88 | loss: 0.0605422 | val_loss: 0.0605745 | Time: 3084.93 ms [2020-11-26 18:15:45 main:581] : INFO : Epoch 89 | loss: 0.0605283 | val_loss: 0.0605698 | Time: 3060.98 ms [2020-11-26 18:15:48 main:581] : INFO : Epoch 90 | loss: 0.060535 | val_loss: 0.0605453 | Time: 3021.91 ms [2020-11-26 18:15:51 main:581] : INFO : Epoch 91 | loss: 0.0605323 | val_loss: 0.0605547 | Time: 3037.02 ms [2020-11-26 18:15:54 main:581] : INFO : Epoch 92 | loss: 0.0605297 | val_loss: 0.060545 | Time: 2977.76 ms [2020-11-26 18:15:57 main:581] : INFO : Epoch 93 | loss: 0.0605292 | val_loss: 0.0605464 | Time: 3116.01 ms [2020-11-26 18:16:01 main:581] : INFO : Epoch 94 | loss: 0.060527 | val_loss: 0.0605311 | Time: 3186.67 ms [2020-11-26 18:16:04 main:581] : INFO : Epoch 95 | loss: 0.0605283 | val_loss: 0.0605413 | Time: 3070.76 ms [2020-11-26 18:16:07 main:581] : INFO : Epoch 96 | loss: 0.0605222 | val_loss: 0.0605071 | Time: 2970.06 ms [2020-11-26 18:16:10 main:581] : INFO : Epoch 97 | loss: 0.0604863 | val_loss: 0.0605117 | Time: 2995.35 ms [2020-11-26 18:16:13 main:581] : INFO : Epoch 98 | loss: 0.0604884 | val_loss: 0.0605232 | Time: 3011.92 ms [2020-11-26 18:16:16 main:581] : INFO : Epoch 99 | loss: 0.0604849 | val_loss: 0.0605017 | Time: 3012.69 ms [2020-11-26 18:16:19 main:581] : INFO : Epoch 100 | loss: 0.060474 | val_loss: 0.0605126 | Time: 2967 ms [2020-11-26 18:16:22 main:581] : INFO : Epoch 101 | loss: 0.0604817 | val_loss: 0.0605154 | Time: 3150.02 ms [2020-11-26 18:16:25 main:581] : INFO : Epoch 102 | loss: 0.0604756 | val_loss: 0.060508 | Time: 3043.71 ms [2020-11-26 18:16:28 main:581] : INFO : Epoch 103 | loss: 0.0604746 | val_loss: 0.0605132 | Time: 3153.29 ms [2020-11-26 18:16:31 main:581] : INFO : Epoch 104 | loss: 0.0604768 | val_loss: 0.0605166 | Time: 3036.09 ms [2020-11-26 18:16:34 main:581] : INFO : Epoch 105 | loss: 0.0604887 | val_loss: 0.0605293 | Time: 3046.98 ms [2020-11-26 18:16:37 main:581] : INFO : Epoch 106 | loss: 0.0604945 | val_loss: 0.0605162 | Time: 3072.96 ms [2020-11-26 18:16:40 main:581] : INFO : Epoch 107 | loss: 0.0605033 | val_loss: 0.0605249 | Time: 3144.24 ms [2020-11-26 18:16:43 main:581] : INFO : Epoch 108 | loss: 0.0605009 | val_loss: 0.0605252 | Time: 3026.42 ms [2020-11-26 18:16:46 main:581] : INFO : Epoch 109 | loss: 0.0604994 | val_loss: 0.0605271 | Time: 3055 ms [2020-11-26 18:16:50 main:581] : INFO : Epoch 110 | loss: 0.0604905 | val_loss: 0.0605149 | Time: 3082.26 ms [2020-11-26 18:16:53 main:581] : INFO : Epoch 111 | loss: 0.0604784 | val_loss: 0.0605023 | Time: 3009.04 ms [2020-11-26 18:16:56 main:581] : INFO : Epoch 112 | loss: 0.0604707 | val_loss: 0.0605036 | Time: 3014.54 ms [2020-11-26 18:16:59 main:581] : INFO : Epoch 113 | loss: 0.0604742 | val_loss: 0.0605033 | Time: 3050.18 ms [2020-11-26 18:17:02 main:581] : INFO : Epoch 114 | loss: 0.0604735 | val_loss: 0.0605043 | Time: 3119.18 ms [2020-11-26 18:17:05 main:581] : INFO : Epoch 115 | loss: 0.0604723 | val_loss: 0.0605022 | Time: 2969.4 ms [2020-11-26 18:17:08 main:581] : INFO : Epoch 116 | loss: 0.0604709 | val_loss: 0.0605031 | Time: 3041.26 ms [2020-11-26 18:17:11 main:581] : INFO : Epoch 117 | loss: 0.060446 | val_loss: 0.0604642 | Time: 3071.33 ms [2020-11-26 18:17:14 main:581] : INFO : Epoch 118 | loss: 0.0604986 | val_loss: 0.0605893 | Time: 3047.89 ms [2020-11-26 18:17:17 main:581] : INFO : Epoch 119 | loss: 0.0605513 | val_loss: 0.0605751 | Time: 3094.08 ms [2020-11-26 18:17:20 main:581] : INFO : Epoch 120 | loss: 0.0605472 | val_loss: 0.0605704 | Time: 3020.69 ms [2020-11-26 18:17:23 main:581] : INFO : Epoch 121 | loss: 0.0605533 | val_loss: 0.0605912 | Time: 3004.04 ms [2020-11-26 18:17:26 main:581] : INFO : Epoch 122 | loss: 0.0605616 | val_loss: 0.0605879 | Time: 3010.71 ms [2020-11-26 18:17:29 main:581] : INFO : Epoch 123 | loss: 0.0605677 | val_loss: 0.060595 | Time: 3010.79 ms [2020-11-26 18:17:32 main:581] : INFO : Epoch 124 | loss: 0.060567 | val_loss: 0.0606349 | Time: 2969.75 ms [2020-11-26 18:17:35 main:581] : INFO : Epoch 125 | loss: 0.060584 | val_loss: 0.0606174 | Time: 3064.34 ms [2020-11-26 18:17:38 main:581] : INFO : Epoch 126 | loss: 0.0605718 | val_loss: 0.0606097 | Time: 3048.94 ms [2020-11-26 18:17:41 main:581] : INFO : Epoch 127 | loss: 0.0605669 | val_loss: 0.060613 | Time: 2967.29 ms [2020-11-26 18:17:44 main:581] : INFO : Epoch 128 | loss: 0.0605625 | val_loss: 0.0606068 | Time: 2998.27 ms [2020-11-26 18:17:47 main:581] : INFO : Epoch 129 | loss: 0.0605587 | val_loss: 0.0606048 | Time: 3125.79 ms [2020-11-26 18:17:50 main:581] : INFO : Epoch 130 | loss: 0.0605585 | val_loss: 0.0606072 | Time: 3081.59 ms [2020-11-26 18:17:53 main:581] : INFO : Epoch 131 | loss: 0.0605541 | val_loss: 0.0605931 | Time: 3011.28 ms [2020-11-26 18:17:56 main:581] : INFO : Epoch 132 | loss: 0.0605555 | val_loss: 0.0605863 | Time: 2966.33 ms [2020-11-26 18:17:59 main:581] : INFO : Epoch 133 | loss: 0.060559 | val_loss: 0.0606094 | Time: 2957.69 ms [2020-11-26 18:18:02 main:581] : INFO : Epoch 134 | loss: 0.0605604 | val_loss: 0.0606076 | Time: 3023.89 ms [2020-11-26 18:18:05 main:581] : INFO : Epoch 135 | loss: 0.0605592 | val_loss: 0.0606027 | Time: 3022.26 ms [2020-11-26 18:18:08 main:581] : INFO : Epoch 136 | loss: 0.0605597 | val_loss: 0.060601 | Time: 3109.19 ms [2020-11-26 18:18:11 main:581] : INFO : Epoch 137 | loss: 0.06056 | val_loss: 0.0605992 | Time: 2999.39 ms [2020-11-26 18:18:14 main:581] : INFO : Epoch 138 | loss: 0.060556 | val_loss: 0.0605743 | Time: 2964.77 ms [2020-11-26 18:18:17 main:581] : INFO : Epoch 139 | loss: 0.0605459 | val_loss: 0.0605798 | Time: 3123.84 ms [2020-11-26 18:18:20 main:581] : INFO : Epoch 140 | loss: 0.0605476 | val_loss: 0.0605833 | Time: 2975.6 ms [2020-11-26 18:18:23 main:581] : INFO : Epoch 141 | loss: 0.0605388 | val_loss: 0.0605597 | Time: 3051.51 ms [2020-11-26 18:18:26 main:581] : INFO : Epoch 142 | loss: 0.06053 | val_loss: 0.0605825 | Time: 3003.78 ms [2020-11-26 18:18:29 main:581] : INFO : Epoch 143 | loss: 0.0605367 | val_loss: 0.0605791 | Time: 2978.48 ms [2020-11-26 18:18:33 main:581] : INFO : Epoch 144 | loss: 0.0605435 | val_loss: 0.0605725 | Time: 3098.01 ms [2020-11-26 18:18:36 main:581] : INFO : Epoch 145 | loss: 0.0605374 | val_loss: 0.0605704 | Time: 3122.11 ms [2020-11-26 18:18:39 main:581] : INFO : Epoch 146 | loss: 0.0605339 | val_loss: 0.0605675 | Time: 3083.37 ms [2020-11-26 18:18:42 main:581] : INFO : Epoch 147 | loss: 0.0605311 | val_loss: 0.0605682 | Time: 2975.48 ms [2020-11-26 18:18:45 main:581] : INFO : Epoch 148 | loss: 0.0605286 | val_loss: 0.0605637 | Time: 2991.91 ms [2020-11-26 18:18:48 main:581] : INFO : Epoch 149 | loss: 0.0605262 | val_loss: 0.0605684 | Time: 3066.67 ms [2020-11-26 18:18:51 main:581] : INFO : Epoch 150 | loss: 0.0605268 | val_loss: 0.0605652 | Time: 3038.88 ms [2020-11-26 18:18:54 main:581] : INFO : Epoch 151 | loss: 0.0605262 | val_loss: 0.0605591 | Time: 3117.2 ms [2020-11-26 18:18:57 main:581] : INFO : Epoch 152 | loss: 0.0605343 | val_loss: 0.0605638 | Time: 3063.25 ms [2020-11-26 18:19:00 main:581] : INFO : Epoch 153 | loss: 0.0605281 | val_loss: 0.0605547 | Time: 3031.12 ms [2020-11-26 18:19:03 main:581] : INFO : Epoch 154 | loss: 0.0605184 | val_loss: 0.0605575 | Time: 2955.27 ms [2020-11-26 18:19:06 main:581] : INFO : Epoch 155 | loss: 0.060533 | val_loss: 0.0605783 | Time: 3049.33 ms [2020-11-26 18:19:09 main:581] : INFO : Epoch 156 | loss: 0.060511 | val_loss: 0.0605357 | Time: 2975.8 ms [2020-11-26 18:19:12 main:581] : INFO : Epoch 157 | loss: 0.0604855 | val_loss: 0.0605234 | Time: 2966.79 ms [2020-11-26 18:19:15 main:581] : INFO : Epoch 158 | loss: 0.0604674 | val_loss: 0.0604845 | Time: 2961.69 ms [2020-11-26 18:19:18 main:581] : INFO : Epoch 159 | loss: 0.0604568 | val_loss: 0.0604867 | Time: 3069.54 ms [2020-11-26 18:19:21 main:581] : INFO : Epoch 160 | loss: 0.0604794 | val_loss: 0.0605602 | Time: 3160.87 ms [2020-11-26 18:19:24 main:581] : INFO : Epoch 161 | loss: 0.0605239 | val_loss: 0.0605545 | Time: 3059.89 ms [2020-11-26 18:19:27 main:581] : INFO : Epoch 162 | loss: 0.0605137 | val_loss: 0.0605243 | Time: 3085.68 ms [2020-11-26 18:19:31 main:581] : INFO : Epoch 163 | loss: 0.0605088 | val_loss: 0.0605306 | Time: 3236.19 ms [2020-11-26 18:19:34 main:581] : INFO : Epoch 164 | loss: 0.0605046 | val_loss: 0.0605352 | Time: 3029.84 ms [2020-11-26 18:19:37 main:581] : INFO : Epoch 165 | loss: 0.06051 | val_loss: 0.0605391 | Time: 3005.96 ms [2020-11-26 18:19:40 main:581] : INFO : Epoch 166 | loss: 0.0605092 | val_loss: 0.0605388 | Time: 3074.29 ms [2020-11-26 18:19:43 main:581] : INFO : Epoch 167 | loss: 0.0605093 | val_loss: 0.0605366 | Time: 2943.63 ms [2020-11-26 18:19:46 main:581] : INFO : Epoch 168 | loss: 0.060515 | val_loss: 0.0605386 | Time: 2946.12 ms [2020-11-26 18:19:49 main:581] : INFO : Epoch 169 | loss: 0.0605135 | val_loss: 0.0605333 | Time: 3019.55 ms [2020-11-26 18:19:52 main:581] : INFO : Epoch 170 | loss: 0.0605066 | val_loss: 0.0605332 | Time: 2993.59 ms [2020-11-26 18:19:55 main:581] : INFO : Epoch 171 | loss: 0.0605038 | val_loss: 0.060531 | Time: 3159.73 ms [2020-11-26 18:19:58 main:581] : INFO : Epoch 172 | loss: 0.0605003 | val_loss: 0.0605297 | Time: 2936.87 ms [2020-11-26 18:20:01 main:581] : INFO : Epoch 173 | loss: 0.0605117 | val_loss: 0.0605416 | Time: 2994.91 ms [2020-11-26 18:20:04 main:581] : INFO : Epoch 174 | loss: 0.060515 | val_loss: 0.0605366 | Time: 3028.55 ms [2020-11-26 18:20:07 main:581] : INFO : Epoch 175 | loss: 0.0605125 | val_loss: 0.0605416 | Time: 3160.54 ms [2020-11-26 18:20:10 main:581] : INFO : Epoch 176 | loss: 0.0605129 | val_loss: 0.0605524 | Time: 2964.25 ms [2020-11-26 18:20:13 main:581] : INFO : Epoch 177 | loss: 0.0604999 | val_loss: 0.0605119 | Time: 3002.24 ms [2020-11-26 18:20:16 main:581] : INFO : Epoch 178 | loss: 0.0604789 | val_loss: 0.0605051 | Time: 3081.53 ms [2020-11-26 18:20:19 main:581] : INFO : Epoch 179 | loss: 0.0604684 | val_loss: 0.0605037 | Time: 3004.57 ms [2020-11-26 18:20:22 main:581] : INFO : Epoch 180 | loss: 0.0604572 | val_loss: 0.0604915 | Time: 2923.41 ms [2020-11-26 18:20:25 main:581] : INFO : Epoch 181 | loss: 0.0604513 | val_loss: 0.060489 | Time: 2985.23 ms [2020-11-26 18:20:28 main:581] : INFO : Epoch 182 | loss: 0.0604559 | val_loss: 0.0604766 | Time: 2995.49 ms [2020-11-26 18:20:31 main:581] : INFO : Epoch 183 | loss: 0.060444 | val_loss: 0.0604829 | Time: 3026.08 ms [2020-11-26 18:20:34 main:581] : INFO : Epoch 184 | loss: 0.0604446 | val_loss: 0.0604859 | Time: 3043.8 ms [2020-11-26 18:20:37 main:581] : INFO : Epoch 185 | loss: 0.06044 | val_loss: 0.0604823 | Time: 2986.78 ms [2020-11-26 18:20:40 main:581] : INFO : Epoch 186 | loss: 0.0604354 | val_loss: 0.0604852 | Time: 2982.35 ms [2020-11-26 18:20:43 main:581] : INFO : Epoch 187 | loss: 0.0604414 | val_loss: 0.0604826 | Time: 3262.28 ms [2020-11-26 18:20:46 main:581] : INFO : Epoch 188 | loss: 0.0605138 | val_loss: 0.0605723 | Time: 2947.88 ms [2020-11-26 18:20:49 main:581] : INFO : Epoch 189 | loss: 0.0605153 | val_loss: 0.0605668 | Time: 2992.5 ms [2020-11-26 18:20:52 main:581] : INFO : Epoch 190 | loss: 0.0605093 | val_loss: 0.0605533 | Time: 3020.01 ms [2020-11-26 18:20:55 main:581] : INFO : Epoch 191 | loss: 0.0605011 | val_loss: 0.0605482 | Time: 2978.06 ms [2020-11-26 18:20:58 main:581] : INFO : Epoch 192 | loss: 0.0604956 | val_loss: 0.0605543 | Time: 2981.9 ms [2020-11-26 18:20:58 main:604] : INFO : Saving trained model to model-final.pt, val_loss 0.0605543 [2020-11-26 18:20:58 main:610] : INFO : Saving end state to config to file [2020-11-26 18:20:58 main:615] : INFO : Success, exiting.. 18:20:58 (15575): 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)