Task 3073723
| Name | rand_automata_0025-1606117988-22454-84_0 |
| Workunit | 1402159 |
| Created | 26 Nov 2020, 18:09:10 UTC |
| Sent | 26 Nov 2020, 18:18:30 UTC |
| Report deadline | 3 Dec 2020, 18:18:30 UTC |
| Received | 26 Nov 2020, 18:28:50 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 4754 |
| Run time | 9 min 47 sec |
| CPU time | 9 min 44 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 13:18:55 main:442] : INFO : Set logging level to 1 [2020-11-26 13:18:55 main:448] : INFO : Running in BOINC Client mode [2020-11-26 13:18:55 main:451] : INFO : Resolving all filenames [2020-11-26 13:18:55 main:459] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-train-val-dataset.hdf5 (exists = 1) [2020-11-26 13:18:55 main:459] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-1606117988-22454-84_0_r1653103091_1 (exists = 0) [2020-11-26 13:18:55 main:459] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-1606117988-22454-84_0_r1653103091_0 (exists = 0) [2020-11-26 13:18:55 main:459] : INFO : Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-1606117988-22454-84 (exists = 1) [2020-11-26 13:18:55 main:459] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-26 13:18:55 main:479] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-train-val-dataset.hdf5 [2020-11-26 13:18:55 main:481] : INFO : Configuration: [2020-11-26 13:18:55 main:482] : INFO : Model type: LSTM [2020-11-26 13:18:55 main:483] : INFO : Validation Loss Threshold: 0.0001 [2020-11-26 13:18:55 main:484] : INFO : Max Epochs: 192 [2020-11-26 13:18:55 main:485] : INFO : Batch Size: 32 [2020-11-26 13:18:55 main:486] : INFO : Learning Rate: 0.001 [2020-11-26 13:18:55 main:487] : INFO : Patience: 10 [2020-11-26 13:18:55 main:488] : INFO : Hidden Width: 64 [2020-11-26 13:18:55 main:489] : INFO : # Recurrent Layers: 4 [2020-11-26 13:18:55 main:490] : INFO : # Backend Layers: 2 [2020-11-26 13:18:55 main:491] : INFO : # Threads: 1 [2020-11-26 13:18:55 main:493] : INFO : Preparing Dataset [2020-11-26 13:18:55 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 13:18:55 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 13:18:57 load:106] : INFO : Successfully loaded dataset of 4096 examples into memory. [2020-11-26 13:18:57 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 13:18:57 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 13:18:57 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-26 13:18:57 main:501] : INFO : Creating Model [2020-11-26 13:18:57 main:514] : INFO : Preparing config file [2020-11-26 13:18:57 main:526] : INFO : Creating new config file [2020-11-26 13:18:57 main:545] : INFO : This is a continuation WU, loading previous network [2020-11-26 13:18:57 main:566] : INFO : Loading DataLoader into Memory [2020-11-26 13:18:57 main:569] : INFO : Starting Training [2020-11-26 13:19:01 main:581] : INFO : Epoch 1 | loss: 0.0439834 | val_loss: 0.0436548 | Time: 3782.1 ms [2020-11-26 13:19:04 main:581] : INFO : Epoch 2 | loss: 0.0444649 | val_loss: 0.0445718 | Time: 3074.55 ms [2020-11-26 13:19:08 main:581] : INFO : Epoch 3 | loss: 0.0441274 | val_loss: 0.0437895 | Time: 3209.55 ms [2020-11-26 13:19:11 main:581] : INFO : Epoch 4 | loss: 0.043395 | val_loss: 0.0430194 | Time: 3010.96 ms [2020-11-26 13:19:14 main:581] : INFO : Epoch 5 | loss: 0.0430833 | val_loss: 0.0432429 | Time: 2993.99 ms [2020-11-26 13:19:17 main:581] : INFO : Epoch 6 | loss: 0.0427048 | val_loss: 0.0425193 | Time: 3033.73 ms [2020-11-26 13:19:20 main:581] : INFO : Epoch 7 | loss: 0.0426719 | val_loss: 0.0434484 | Time: 2943.38 ms [2020-11-26 13:19:22 main:581] : INFO : Epoch 8 | loss: 0.0429513 | val_loss: 0.0431452 | Time: 2936.62 ms [2020-11-26 13:19:25 main:581] : INFO : Epoch 9 | loss: 0.042496 | val_loss: 0.0423913 | Time: 2987.73 ms [2020-11-26 13:19:29 main:581] : INFO : Epoch 10 | loss: 0.043096 | val_loss: 0.0446629 | Time: 3085.92 ms [2020-11-26 13:19:32 main:581] : INFO : Epoch 11 | loss: 0.044537 | val_loss: 0.0449341 | Time: 3036.56 ms [2020-11-26 13:19:35 main:581] : INFO : Epoch 12 | loss: 0.0443622 | val_loss: 0.0440674 | Time: 3384.63 ms [2020-11-26 13:19:38 main:581] : INFO : Epoch 13 | loss: 0.0437915 | val_loss: 0.044121 | Time: 3015.14 ms [2020-11-26 13:19:41 main:581] : INFO : Epoch 14 | loss: 0.0440146 | val_loss: 0.0443401 | Time: 3107.24 ms [2020-11-26 13:19:44 main:581] : INFO : Epoch 15 | loss: 0.0441499 | val_loss: 0.0433514 | Time: 3019.63 ms [2020-11-26 13:19:47 main:581] : INFO : Epoch 16 | loss: 0.0431684 | val_loss: 0.0456516 | Time: 3043.82 ms [2020-11-26 13:19:50 main:581] : INFO : Epoch 17 | loss: 0.0463235 | val_loss: 0.0461552 | Time: 3002.46 ms [2020-11-26 13:19:53 main:581] : INFO : Epoch 18 | loss: 0.0461516 | val_loss: 0.0459819 | Time: 3127.82 ms [2020-11-26 13:19:56 main:581] : INFO : Epoch 19 | loss: 0.0468277 | val_loss: 0.0464444 | Time: 3109.63 ms [2020-11-26 13:19:59 main:581] : INFO : Epoch 20 | loss: 0.046045 | val_loss: 0.0455249 | Time: 2991.08 ms [2020-11-26 13:20:02 main:581] : INFO : Epoch 21 | loss: 0.0454441 | val_loss: 0.0450701 | Time: 2975.71 ms [2020-11-26 13:20:05 main:581] : INFO : Epoch 22 | loss: 0.0447272 | val_loss: 0.0457878 | Time: 2946.35 ms [2020-11-26 13:20:08 main:581] : INFO : Epoch 23 | loss: 0.0450127 | val_loss: 0.0445033 | Time: 2949.19 ms [2020-11-26 13:20:11 main:581] : INFO : Epoch 24 | loss: 0.0443 | val_loss: 0.044207 | Time: 2941.17 ms [2020-11-26 13:20:14 main:581] : INFO : Epoch 25 | loss: 0.0438882 | val_loss: 0.0437615 | Time: 3032.3 ms [2020-11-26 13:20:17 main:581] : INFO : Epoch 26 | loss: 0.0432596 | val_loss: 0.043107 | Time: 3022.42 ms [2020-11-26 13:20:20 main:581] : INFO : Epoch 27 | loss: 0.0429053 | val_loss: 0.0426161 | Time: 2987.08 ms [2020-11-26 13:20:23 main:581] : INFO : Epoch 28 | loss: 0.0423182 | val_loss: 0.0421129 | Time: 2976.95 ms [2020-11-26 13:20:26 main:581] : INFO : Epoch 29 | loss: 0.0415986 | val_loss: 0.0412085 | Time: 3036.38 ms [2020-11-26 13:20:29 main:581] : INFO : Epoch 30 | loss: 0.0415143 | val_loss: 0.0421203 | Time: 2961.94 ms [2020-11-26 13:20:32 main:581] : INFO : Epoch 31 | loss: 0.0414511 | val_loss: 0.0422832 | Time: 2990.4 ms [2020-11-26 13:20:35 main:581] : INFO : Epoch 32 | loss: 0.041564 | val_loss: 0.0423441 | Time: 3075.05 ms [2020-11-26 13:20:38 main:581] : INFO : Epoch 33 | loss: 0.0411807 | val_loss: 0.0416819 | Time: 2969.7 ms [2020-11-26 13:20:41 main:581] : INFO : Epoch 34 | loss: 0.0414494 | val_loss: 0.0422501 | Time: 2976.44 ms [2020-11-26 13:20:44 main:581] : INFO : Epoch 35 | loss: 0.0433833 | val_loss: 0.0472803 | Time: 2969.44 ms [2020-11-26 13:20:47 main:581] : INFO : Epoch 36 | loss: 0.0464816 | val_loss: 0.0463888 | Time: 3008.17 ms [2020-11-26 13:20:50 main:581] : INFO : Epoch 37 | loss: 0.0467633 | val_loss: 0.0501502 | Time: 2979.97 ms [2020-11-26 13:20:53 main:581] : INFO : Epoch 38 | loss: 0.0493902 | val_loss: 0.0491609 | Time: 3053.13 ms [2020-11-26 13:20:56 main:581] : INFO : Epoch 39 | loss: 0.0487977 | val_loss: 0.0492582 | Time: 3009.16 ms [2020-11-26 13:20:59 main:581] : INFO : Epoch 40 | loss: 0.0487172 | val_loss: 0.0494087 | Time: 2957.72 ms [2020-11-26 13:21:02 main:581] : INFO : Epoch 41 | loss: 0.0494533 | val_loss: 0.0498178 | Time: 3046.35 ms [2020-11-26 13:21:05 main:581] : INFO : Epoch 42 | loss: 0.0491971 | val_loss: 0.049481 | Time: 3075.24 ms [2020-11-26 13:21:08 main:581] : INFO : Epoch 43 | loss: 0.0492958 | val_loss: 0.0514113 | Time: 3125.17 ms [2020-11-26 13:21:12 main:581] : INFO : Epoch 44 | loss: 0.0511901 | val_loss: 0.051293 | Time: 3218.89 ms [2020-11-26 13:21:15 main:581] : INFO : Epoch 45 | loss: 0.0511851 | val_loss: 0.0517322 | Time: 3109.17 ms [2020-11-26 13:21:18 main:581] : INFO : Epoch 46 | loss: 0.051359 | val_loss: 0.0518789 | Time: 2968.03 ms [2020-11-26 13:21:21 main:581] : INFO : Epoch 47 | loss: 0.0519795 | val_loss: 0.0518789 | Time: 3186.79 ms [2020-11-26 13:21:24 main:581] : INFO : Epoch 48 | loss: 0.0515593 | val_loss: 0.0518362 | Time: 3024.43 ms [2020-11-26 13:21:27 main:581] : INFO : Epoch 49 | loss: 0.0515396 | val_loss: 0.0518431 | Time: 3043.12 ms [2020-11-26 13:21:30 main:581] : INFO : Epoch 50 | loss: 0.0512316 | val_loss: 0.0510986 | Time: 3072.77 ms [2020-11-26 13:21:33 main:581] : INFO : Epoch 51 | loss: 0.0506907 | val_loss: 0.0506822 | Time: 3025.73 ms [2020-11-26 13:21:36 main:581] : INFO : Epoch 52 | loss: 0.0507895 | val_loss: 0.051184 | Time: 3060.69 ms [2020-11-26 13:21:39 main:581] : INFO : Epoch 53 | loss: 0.0506367 | val_loss: 0.0504002 | Time: 3098.3 ms [2020-11-26 13:21:42 main:581] : INFO : Epoch 54 | loss: 0.050082 | val_loss: 0.0500854 | Time: 2979.94 ms [2020-11-26 13:21:45 main:581] : INFO : Epoch 55 | loss: 0.0494822 | val_loss: 0.0495333 | Time: 2992.21 ms [2020-11-26 13:21:48 main:581] : INFO : Epoch 56 | loss: 0.0491145 | val_loss: 0.0493991 | Time: 3029.92 ms [2020-11-26 13:21:51 main:581] : INFO : Epoch 57 | loss: 0.0486619 | val_loss: 0.0484537 | Time: 2980.58 ms [2020-11-26 13:21:54 main:581] : INFO : Epoch 58 | loss: 0.0475879 | val_loss: 0.0477942 | Time: 3085.55 ms [2020-11-26 13:21:57 main:581] : INFO : Epoch 59 | loss: 0.0475674 | val_loss: 0.0503388 | Time: 3054.46 ms [2020-11-26 13:22:00 main:581] : INFO : Epoch 60 | loss: 0.0503564 | val_loss: 0.0508487 | Time: 2961.72 ms [2020-11-26 13:22:03 main:581] : INFO : Epoch 61 | loss: 0.0507067 | val_loss: 0.051109 | Time: 2977.1 ms [2020-11-26 13:22:06 main:581] : INFO : Epoch 62 | loss: 0.0504661 | val_loss: 0.0509801 | Time: 3017.61 ms [2020-11-26 13:22:09 main:581] : INFO : Epoch 63 | loss: 0.050341 | val_loss: 0.0506894 | Time: 3033.7 ms [2020-11-26 13:22:12 main:581] : INFO : Epoch 64 | loss: 0.0501213 | val_loss: 0.0504137 | Time: 2989.56 ms [2020-11-26 13:22:16 main:581] : INFO : Epoch 65 | loss: 0.0501198 | val_loss: 0.0505065 | Time: 3411.88 ms [2020-11-26 13:22:19 main:581] : INFO : Epoch 66 | loss: 0.0502068 | val_loss: 0.0505471 | Time: 3096.82 ms [2020-11-26 13:22:22 main:581] : INFO : Epoch 67 | loss: 0.0498465 | val_loss: 0.0500505 | Time: 3013.6 ms [2020-11-26 13:22:25 main:581] : INFO : Epoch 68 | loss: 0.0493994 | val_loss: 0.049654 | Time: 3017.58 ms [2020-11-26 13:22:28 main:581] : INFO : Epoch 69 | loss: 0.0489752 | val_loss: 0.0492843 | Time: 2942.24 ms [2020-11-26 13:22:31 main:581] : INFO : Epoch 70 | loss: 0.0486907 | val_loss: 0.0489922 | Time: 3079.44 ms [2020-11-26 13:22:34 main:581] : INFO : Epoch 71 | loss: 0.0486715 | val_loss: 0.049304 | Time: 3067.94 ms [2020-11-26 13:22:37 main:581] : INFO : Epoch 72 | loss: 0.0488583 | val_loss: 0.0495883 | Time: 2943.93 ms [2020-11-26 13:22:40 main:581] : INFO : Epoch 73 | loss: 0.0507877 | val_loss: 0.0513109 | Time: 3001.32 ms [2020-11-26 13:22:43 main:581] : INFO : Epoch 74 | loss: 0.0514714 | val_loss: 0.051705 | Time: 2954.96 ms [2020-11-26 13:22:46 main:581] : INFO : Epoch 75 | loss: 0.0514758 | val_loss: 0.0516306 | Time: 2992.48 ms [2020-11-26 13:22:49 main:581] : INFO : Epoch 76 | loss: 0.0513447 | val_loss: 0.0513206 | Time: 3099.31 ms [2020-11-26 13:22:52 main:581] : INFO : Epoch 77 | loss: 0.0510973 | val_loss: 0.0513713 | Time: 3091.31 ms [2020-11-26 13:22:55 main:581] : INFO : Epoch 78 | loss: 0.0510822 | val_loss: 0.0513291 | Time: 3051.3 ms [2020-11-26 13:22:58 main:581] : INFO : Epoch 79 | loss: 0.0509034 | val_loss: 0.0510441 | Time: 2962.78 ms [2020-11-26 13:23:01 main:581] : INFO : Epoch 80 | loss: 0.0505676 | val_loss: 0.0506897 | Time: 3023.67 ms [2020-11-26 13:23:04 main:581] : INFO : Epoch 81 | loss: 0.0502117 | val_loss: 0.0504505 | Time: 3062.5 ms [2020-11-26 13:23:07 main:581] : INFO : Epoch 82 | loss: 0.0498747 | val_loss: 0.05019 | Time: 3013.26 ms [2020-11-26 13:23:10 main:581] : INFO : Epoch 83 | loss: 0.0496223 | val_loss: 0.0498487 | Time: 3016 ms [2020-11-26 13:23:13 main:581] : INFO : Epoch 84 | loss: 0.0492735 | val_loss: 0.0495384 | Time: 3023 ms [2020-11-26 13:23:16 main:581] : INFO : Epoch 85 | loss: 0.0488743 | val_loss: 0.0491133 | Time: 3011.61 ms [2020-11-26 13:23:19 main:581] : INFO : Epoch 86 | loss: 0.0487361 | val_loss: 0.0490035 | Time: 3219 ms [2020-11-26 13:23:23 main:581] : INFO : Epoch 87 | loss: 0.0484139 | val_loss: 0.0486283 | Time: 3106.34 ms [2020-11-26 13:23:26 main:581] : INFO : Epoch 88 | loss: 0.0479333 | val_loss: 0.0480541 | Time: 3004.92 ms [2020-11-26 13:23:29 main:581] : INFO : Epoch 89 | loss: 0.0476545 | val_loss: 0.0481708 | Time: 3008.1 ms [2020-11-26 13:23:32 main:581] : INFO : Epoch 90 | loss: 0.047908 | val_loss: 0.0481478 | Time: 3037.96 ms [2020-11-26 13:23:35 main:581] : INFO : Epoch 91 | loss: 0.0475964 | val_loss: 0.0476453 | Time: 2977.73 ms [2020-11-26 13:23:38 main:581] : INFO : Epoch 92 | loss: 0.0470028 | val_loss: 0.0471546 | Time: 3050.86 ms [2020-11-26 13:23:41 main:581] : INFO : Epoch 93 | loss: 0.0463868 | val_loss: 0.0469113 | Time: 3021.58 ms [2020-11-26 13:23:44 main:581] : INFO : Epoch 94 | loss: 0.0464609 | val_loss: 0.0469304 | Time: 3144.92 ms [2020-11-26 13:23:47 main:581] : INFO : Epoch 95 | loss: 0.0464613 | val_loss: 0.0462251 | Time: 3127.57 ms [2020-11-26 13:23:50 main:581] : INFO : Epoch 96 | loss: 0.0458268 | val_loss: 0.045868 | Time: 2986.59 ms [2020-11-26 13:23:53 main:581] : INFO : Epoch 97 | loss: 0.0452919 | val_loss: 0.045738 | Time: 2946.74 ms [2020-11-26 13:23:56 main:581] : INFO : Epoch 98 | loss: 0.0460011 | val_loss: 0.0462122 | Time: 3109.24 ms [2020-11-26 13:23:59 main:581] : INFO : Epoch 99 | loss: 0.0459235 | val_loss: 0.0466753 | Time: 3122.7 ms [2020-11-26 13:24:02 main:581] : INFO : Epoch 100 | loss: 0.0463112 | val_loss: 0.0465519 | Time: 2949.23 ms [2020-11-26 13:24:05 main:581] : INFO : Epoch 101 | loss: 0.045975 | val_loss: 0.046267 | Time: 3044.16 ms [2020-11-26 13:24:08 main:581] : INFO : Epoch 102 | loss: 0.046713 | val_loss: 0.0482898 | Time: 3035.57 ms [2020-11-26 13:24:11 main:581] : INFO : Epoch 103 | loss: 0.0486129 | val_loss: 0.0487883 | Time: 3140.39 ms [2020-11-26 13:24:14 main:581] : INFO : Epoch 104 | loss: 0.0480833 | val_loss: 0.0482435 | Time: 2972.88 ms [2020-11-26 13:24:17 main:581] : INFO : Epoch 105 | loss: 0.0474481 | val_loss: 0.0476765 | Time: 2993.24 ms [2020-11-26 13:24:20 main:581] : INFO : Epoch 106 | loss: 0.0469752 | val_loss: 0.047201 | Time: 2958.05 ms [2020-11-26 13:24:23 main:581] : INFO : Epoch 107 | loss: 0.0464189 | val_loss: 0.0468548 | Time: 3196.11 ms [2020-11-26 13:24:27 main:581] : INFO : Epoch 108 | loss: 0.0478129 | val_loss: 0.0486683 | Time: 3109 ms [2020-11-26 13:24:30 main:581] : INFO : Epoch 109 | loss: 0.0478181 | val_loss: 0.048228 | Time: 3108.63 ms [2020-11-26 13:24:33 main:581] : INFO : Epoch 110 | loss: 0.0473891 | val_loss: 0.0479026 | Time: 2986.47 ms [2020-11-26 13:24:36 main:581] : INFO : Epoch 111 | loss: 0.0469 | val_loss: 0.0471494 | Time: 3059.63 ms [2020-11-26 13:24:39 main:581] : INFO : Epoch 112 | loss: 0.0462595 | val_loss: 0.0467167 | Time: 3120.46 ms [2020-11-26 13:24:42 main:581] : INFO : Epoch 113 | loss: 0.0459291 | val_loss: 0.0467499 | Time: 3142.2 ms [2020-11-26 13:24:45 main:581] : INFO : Epoch 114 | loss: 0.0459992 | val_loss: 0.0462773 | Time: 3004.82 ms [2020-11-26 13:24:48 main:581] : INFO : Epoch 115 | loss: 0.0453163 | val_loss: 0.0455339 | Time: 3111.16 ms [2020-11-26 13:24:51 main:581] : INFO : Epoch 116 | loss: 0.0447284 | val_loss: 0.0452097 | Time: 3084.73 ms [2020-11-26 13:24:54 main:581] : INFO : Epoch 117 | loss: 0.0451608 | val_loss: 0.0456652 | Time: 3027.18 ms [2020-11-26 13:24:57 main:581] : INFO : Epoch 118 | loss: 0.0448419 | val_loss: 0.0449525 | Time: 2965.9 ms [2020-11-26 13:25:00 main:581] : INFO : Epoch 119 | loss: 0.0467726 | val_loss: 0.0469591 | Time: 3026.41 ms [2020-11-26 13:25:03 main:581] : INFO : Epoch 120 | loss: 0.047215 | val_loss: 0.0477315 | Time: 2970.82 ms [2020-11-26 13:25:06 main:581] : INFO : Epoch 121 | loss: 0.0472554 | val_loss: 0.0471575 | Time: 3044.69 ms [2020-11-26 13:25:09 main:581] : INFO : Epoch 122 | loss: 0.0468648 | val_loss: 0.0473919 | Time: 3024.82 ms [2020-11-26 13:25:12 main:581] : INFO : Epoch 123 | loss: 0.0471728 | val_loss: 0.0469856 | Time: 2990.69 ms [2020-11-26 13:25:15 main:581] : INFO : Epoch 124 | loss: 0.0464971 | val_loss: 0.0466053 | Time: 2954.69 ms [2020-11-26 13:25:18 main:581] : INFO : Epoch 125 | loss: 0.0460744 | val_loss: 0.0459405 | Time: 2990.45 ms [2020-11-26 13:25:21 main:581] : INFO : Epoch 126 | loss: 0.0455107 | val_loss: 0.045512 | Time: 2991.9 ms [2020-11-26 13:25:24 main:581] : INFO : Epoch 127 | loss: 0.0452123 | val_loss: 0.0455306 | Time: 3060.06 ms [2020-11-26 13:25:27 main:581] : INFO : Epoch 128 | loss: 0.0447521 | val_loss: 0.0452176 | Time: 3012.93 ms [2020-11-26 13:25:30 main:581] : INFO : Epoch 129 | loss: 0.0446387 | val_loss: 0.0447025 | Time: 3032.46 ms [2020-11-26 13:25:33 main:581] : INFO : Epoch 130 | loss: 0.0438681 | val_loss: 0.043877 | Time: 3008.14 ms [2020-11-26 13:25:36 main:581] : INFO : Epoch 131 | loss: 0.043106 | val_loss: 0.0433158 | Time: 3011.58 ms [2020-11-26 13:25:39 main:581] : INFO : Epoch 132 | loss: 0.0427603 | val_loss: 0.0430424 | Time: 2995.06 ms [2020-11-26 13:25:42 main:581] : INFO : Epoch 133 | loss: 0.0434488 | val_loss: 0.045903 | Time: 3024.29 ms [2020-11-26 13:25:45 main:581] : INFO : Epoch 134 | loss: 0.0451519 | val_loss: 0.0450691 | Time: 3044.54 ms [2020-11-26 13:25:48 main:581] : INFO : Epoch 135 | loss: 0.0440322 | val_loss: 0.0437544 | Time: 3010.71 ms [2020-11-26 13:25:52 main:581] : INFO : Epoch 136 | loss: 0.0428081 | val_loss: 0.0429209 | Time: 3184.05 ms [2020-11-26 13:25:55 main:581] : INFO : Epoch 137 | loss: 0.0439011 | val_loss: 0.0449497 | Time: 3007.94 ms [2020-11-26 13:25:57 main:581] : INFO : Epoch 138 | loss: 0.0447372 | val_loss: 0.0467559 | Time: 2967.73 ms [2020-11-26 13:26:01 main:581] : INFO : Epoch 139 | loss: 0.0459891 | val_loss: 0.0461299 | Time: 3199.94 ms [2020-11-26 13:26:04 main:581] : INFO : Epoch 140 | loss: 0.0453569 | val_loss: 0.0457311 | Time: 2966.65 ms [2020-11-26 13:26:07 main:581] : INFO : Epoch 141 | loss: 0.0450825 | val_loss: 0.0453841 | Time: 3064.64 ms [2020-11-26 13:26:10 main:581] : INFO : Epoch 142 | loss: 0.0446182 | val_loss: 0.044727 | Time: 2968.73 ms [2020-11-26 13:26:13 main:581] : INFO : Epoch 143 | loss: 0.0438734 | val_loss: 0.0441125 | Time: 3131.92 ms [2020-11-26 13:26:16 main:581] : INFO : Epoch 144 | loss: 0.0432649 | val_loss: 0.0438927 | Time: 3107.07 ms [2020-11-26 13:26:19 main:581] : INFO : Epoch 145 | loss: 0.0463645 | val_loss: 0.0529246 | Time: 2986.63 ms [2020-11-26 13:26:22 main:581] : INFO : Epoch 146 | loss: 0.0523859 | val_loss: 0.0527681 | Time: 2934.61 ms [2020-11-26 13:26:25 main:581] : INFO : Epoch 147 | loss: 0.0523772 | val_loss: 0.0532675 | Time: 2943.06 ms [2020-11-26 13:26:28 main:581] : INFO : Epoch 148 | loss: 0.0525765 | val_loss: 0.053062 | Time: 2983.03 ms [2020-11-26 13:26:31 main:581] : INFO : Epoch 149 | loss: 0.0523384 | val_loss: 0.0528359 | Time: 3012.24 ms [2020-11-26 13:26:34 main:581] : INFO : Epoch 150 | loss: 0.0521072 | val_loss: 0.052596 | Time: 2975.73 ms [2020-11-26 13:26:37 main:581] : INFO : Epoch 151 | loss: 0.0518615 | val_loss: 0.0523954 | Time: 3058.71 ms [2020-11-26 13:26:40 main:581] : INFO : Epoch 152 | loss: 0.0516358 | val_loss: 0.0521746 | Time: 3026.71 ms [2020-11-26 13:26:43 main:581] : INFO : Epoch 153 | loss: 0.0514621 | val_loss: 0.0519856 | Time: 3000.68 ms [2020-11-26 13:26:46 main:581] : INFO : Epoch 154 | loss: 0.0512833 | val_loss: 0.0517116 | Time: 3136.05 ms [2020-11-26 13:26:49 main:581] : INFO : Epoch 155 | loss: 0.0510501 | val_loss: 0.0515033 | Time: 3023.58 ms [2020-11-26 13:26:52 main:581] : INFO : Epoch 156 | loss: 0.0507323 | val_loss: 0.0511957 | Time: 2967.63 ms [2020-11-26 13:26:55 main:581] : INFO : Epoch 157 | loss: 0.0503853 | val_loss: 0.0507989 | Time: 3006.78 ms [2020-11-26 13:26:58 main:581] : INFO : Epoch 158 | loss: 0.050072 | val_loss: 0.0505648 | Time: 3035.91 ms [2020-11-26 13:27:01 main:581] : INFO : Epoch 159 | loss: 0.0497078 | val_loss: 0.0502172 | Time: 2980.83 ms [2020-11-26 13:27:04 main:581] : INFO : Epoch 160 | loss: 0.0492342 | val_loss: 0.0496834 | Time: 2981.46 ms [2020-11-26 13:27:07 main:581] : INFO : Epoch 161 | loss: 0.0488276 | val_loss: 0.0492254 | Time: 3066.77 ms [2020-11-26 13:27:10 main:581] : INFO : Epoch 162 | loss: 0.0484799 | val_loss: 0.0489818 | Time: 2960.6 ms [2020-11-26 13:27:13 main:581] : INFO : Epoch 163 | loss: 0.048292 | val_loss: 0.0489167 | Time: 2989.25 ms [2020-11-26 13:27:16 main:581] : INFO : Epoch 164 | loss: 0.0478694 | val_loss: 0.0482915 | Time: 2966.72 ms [2020-11-26 13:27:19 main:581] : INFO : Epoch 165 | loss: 0.0474315 | val_loss: 0.048534 | Time: 3061.22 ms [2020-11-26 13:27:22 main:581] : INFO : Epoch 166 | loss: 0.0478068 | val_loss: 0.0482162 | Time: 3054.82 ms [2020-11-26 13:27:25 main:581] : INFO : Epoch 167 | loss: 0.0472163 | val_loss: 0.0476496 | Time: 3019.09 ms [2020-11-26 13:27:28 main:581] : INFO : Epoch 168 | loss: 0.0466432 | val_loss: 0.0469143 | Time: 2984.88 ms [2020-11-26 13:27:31 main:581] : INFO : Epoch 169 | loss: 0.0479173 | val_loss: 0.0485942 | Time: 2984.66 ms [2020-11-26 13:27:34 main:581] : INFO : Epoch 170 | loss: 0.0481295 | val_loss: 0.0482225 | Time: 2956.17 ms [2020-11-26 13:27:37 main:581] : INFO : Epoch 171 | loss: 0.0477323 | val_loss: 0.0479219 | Time: 2982.13 ms [2020-11-26 13:27:40 main:581] : INFO : Epoch 172 | loss: 0.0473909 | val_loss: 0.04733 | Time: 2984.39 ms [2020-11-26 13:27:43 main:581] : INFO : Epoch 173 | loss: 0.0469641 | val_loss: 0.0471008 | Time: 3063.82 ms [2020-11-26 13:27:46 main:581] : INFO : Epoch 174 | loss: 0.0467494 | val_loss: 0.046764 | Time: 3060.69 ms [2020-11-26 13:27:49 main:581] : INFO : Epoch 175 | loss: 0.04637 | val_loss: 0.0463461 | Time: 3041.51 ms [2020-11-26 13:27:52 main:581] : INFO : Epoch 176 | loss: 0.0458187 | val_loss: 0.0457955 | Time: 2955.79 ms [2020-11-26 13:27:55 main:581] : INFO : Epoch 177 | loss: 0.045463 | val_loss: 0.0455008 | Time: 2943.56 ms [2020-11-26 13:27:58 main:581] : INFO : Epoch 178 | loss: 0.0450523 | val_loss: 0.0451346 | Time: 2999.38 ms [2020-11-26 13:28:01 main:581] : INFO : Epoch 179 | loss: 0.0445443 | val_loss: 0.0446726 | Time: 2947.82 ms [2020-11-26 13:28:04 main:581] : INFO : Epoch 180 | loss: 0.0441073 | val_loss: 0.0441514 | Time: 2985.25 ms [2020-11-26 13:28:07 main:581] : INFO : Epoch 181 | loss: 0.0435643 | val_loss: 0.0437561 | Time: 3051.58 ms [2020-11-26 13:28:10 main:581] : INFO : Epoch 182 | loss: 0.0431092 | val_loss: 0.0433553 | Time: 3026.77 ms [2020-11-26 13:28:13 main:581] : INFO : Epoch 183 | loss: 0.0427145 | val_loss: 0.0428098 | Time: 2941.82 ms [2020-11-26 13:28:16 main:581] : INFO : Epoch 184 | loss: 0.0424383 | val_loss: 0.0429371 | Time: 2959.48 ms [2020-11-26 13:28:19 main:581] : INFO : Epoch 185 | loss: 0.0425509 | val_loss: 0.0435883 | Time: 2952.61 ms [2020-11-26 13:28:22 main:581] : INFO : Epoch 186 | loss: 0.0427578 | val_loss: 0.0432341 | Time: 2958.73 ms [2020-11-26 13:28:25 main:581] : INFO : Epoch 187 | loss: 0.0421363 | val_loss: 0.0426268 | Time: 2966.21 ms [2020-11-26 13:28:28 main:581] : INFO : Epoch 188 | loss: 0.0424983 | val_loss: 0.0435852 | Time: 3075.86 ms [2020-11-26 13:28:31 main:581] : INFO : Epoch 189 | loss: 0.0428151 | val_loss: 0.043553 | Time: 3042.14 ms [2020-11-26 13:28:34 main:581] : INFO : Epoch 190 | loss: 0.0434465 | val_loss: 0.0436964 | Time: 3053.22 ms [2020-11-26 13:28:37 main:581] : INFO : Epoch 191 | loss: 0.0429743 | val_loss: 0.0431922 | Time: 3012.18 ms [2020-11-26 13:28:40 main:581] : INFO : Epoch 192 | loss: 0.0438612 | val_loss: 0.0454343 | Time: 3009.24 ms [2020-11-26 13:28:40 main:604] : INFO : Saving trained model to model-final.pt, val_loss 0.0454343 [2020-11-26 13:28:40 main:610] : INFO : Saving end state to config to file [2020-11-26 13:28:40 main:615] : INFO : Success, exiting.. 13:28:40 (14941): 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)