Task 3075658
| Name | rand_automata_0025-1606117988-22454-96_0 |
| Workunit | 1403794 |
| Created | 26 Nov 2020, 22:19:38 UTC |
| Sent | 26 Nov 2020, 22:29:14 UTC |
| Report deadline | 3 Dec 2020, 22:29:14 UTC |
| Received | 26 Nov 2020, 22:39:31 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 4754 |
| Run time | 9 min 50 sec |
| CPU time | 9 min 46 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 | 2.18 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 17:29:32 main:442] : INFO : Set logging level to 1 [2020-11-26 17:29:32 main:448] : INFO : Running in BOINC Client mode [2020-11-26 17:29:32 main:451] : INFO : Resolving all filenames [2020-11-26 17:29:32 main:459] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-train-val-dataset.hdf5 (exists = 1) [2020-11-26 17:29:32 main:459] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-1606117988-22454-96_0_r1910721620_1 (exists = 0) [2020-11-26 17:29:32 main:459] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-1606117988-22454-96_0_r1910721620_0 (exists = 0) [2020-11-26 17:29:32 main:459] : INFO : Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-1606117988-22454-96 (exists = 1) [2020-11-26 17:29:32 main:459] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-26 17:29:32 main:479] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-train-val-dataset.hdf5 [2020-11-26 17:29:32 main:481] : INFO : Configuration: [2020-11-26 17:29:32 main:482] : INFO : Model type: LSTM [2020-11-26 17:29:32 main:483] : INFO : Validation Loss Threshold: 0.0001 [2020-11-26 17:29:32 main:484] : INFO : Max Epochs: 192 [2020-11-26 17:29:32 main:485] : INFO : Batch Size: 32 [2020-11-26 17:29:32 main:486] : INFO : Learning Rate: 0.001 [2020-11-26 17:29:32 main:487] : INFO : Patience: 10 [2020-11-26 17:29:32 main:488] : INFO : Hidden Width: 64 [2020-11-26 17:29:32 main:489] : INFO : # Recurrent Layers: 4 [2020-11-26 17:29:32 main:490] : INFO : # Backend Layers: 2 [2020-11-26 17:29:32 main:491] : INFO : # Threads: 1 [2020-11-26 17:29:32 main:493] : INFO : Preparing Dataset [2020-11-26 17:29:32 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 17:29:32 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 17:29:34 load:106] : INFO : Successfully loaded dataset of 4096 examples into memory. [2020-11-26 17:29:34 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 17:29:34 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 17:29:34 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-26 17:29:34 main:501] : INFO : Creating Model [2020-11-26 17:29:34 main:514] : INFO : Preparing config file [2020-11-26 17:29:34 main:526] : INFO : Creating new config file [2020-11-26 17:29:34 main:545] : INFO : This is a continuation WU, loading previous network [2020-11-26 17:29:35 main:566] : INFO : Loading DataLoader into Memory [2020-11-26 17:29:35 main:569] : INFO : Starting Training [2020-11-26 17:29:39 main:581] : INFO : Epoch 1 | loss: 0.0438563 | val_loss: 0.0447895 | Time: 4662.2 ms [2020-11-26 17:29:42 main:581] : INFO : Epoch 2 | loss: 0.0435977 | val_loss: 0.0439753 | Time: 2968.66 ms [2020-11-26 17:29:45 main:581] : INFO : Epoch 3 | loss: 0.0433224 | val_loss: 0.0442464 | Time: 3031.59 ms [2020-11-26 17:29:48 main:581] : INFO : Epoch 4 | loss: 0.0435563 | val_loss: 0.0444862 | Time: 2908.87 ms [2020-11-26 17:29:52 main:581] : INFO : Epoch 5 | loss: 0.0436416 | val_loss: 0.0436702 | Time: 3249.88 ms [2020-11-26 17:29:55 main:581] : INFO : Epoch 6 | loss: 0.042924 | val_loss: 0.0432884 | Time: 3269.56 ms [2020-11-26 17:29:58 main:581] : INFO : Epoch 7 | loss: 0.0429062 | val_loss: 0.0432151 | Time: 3249.49 ms [2020-11-26 17:30:01 main:581] : INFO : Epoch 8 | loss: 0.0424648 | val_loss: 0.0427251 | Time: 3023.5 ms [2020-11-26 17:30:05 main:581] : INFO : Epoch 9 | loss: 0.0419688 | val_loss: 0.0422243 | Time: 3896.67 ms [2020-11-26 17:30:08 main:581] : INFO : Epoch 10 | loss: 0.043299 | val_loss: 0.0452416 | Time: 3034.76 ms [2020-11-26 17:30:11 main:581] : INFO : Epoch 11 | loss: 0.0451298 | val_loss: 0.0453264 | Time: 3013.24 ms [2020-11-26 17:30:14 main:581] : INFO : Epoch 12 | loss: 0.0448008 | val_loss: 0.0454376 | Time: 2941.78 ms [2020-11-26 17:30:17 main:581] : INFO : Epoch 13 | loss: 0.0453912 | val_loss: 0.0456408 | Time: 3070.36 ms [2020-11-26 17:30:20 main:581] : INFO : Epoch 14 | loss: 0.0449671 | val_loss: 0.0454479 | Time: 3018.17 ms [2020-11-26 17:30:23 main:581] : INFO : Epoch 15 | loss: 0.0451548 | val_loss: 0.0457773 | Time: 2953.93 ms [2020-11-26 17:30:26 main:581] : INFO : Epoch 16 | loss: 0.0454208 | val_loss: 0.0455662 | Time: 2954.15 ms [2020-11-26 17:30:29 main:581] : INFO : Epoch 17 | loss: 0.0454616 | val_loss: 0.0459387 | Time: 3066.58 ms [2020-11-26 17:30:32 main:581] : INFO : Epoch 18 | loss: 0.0453573 | val_loss: 0.0456104 | Time: 2907.51 ms [2020-11-26 17:30:35 main:581] : INFO : Epoch 19 | loss: 0.0451262 | val_loss: 0.0460355 | Time: 2945.5 ms [2020-11-26 17:30:38 main:581] : INFO : Epoch 20 | loss: 0.0462481 | val_loss: 0.0467215 | Time: 3072.32 ms [2020-11-26 17:30:41 main:581] : INFO : Epoch 21 | loss: 0.0461836 | val_loss: 0.046308 | Time: 2992.68 ms [2020-11-26 17:30:44 main:581] : INFO : Epoch 22 | loss: 0.0460575 | val_loss: 0.0463551 | Time: 3071 ms [2020-11-26 17:30:47 main:581] : INFO : Epoch 23 | loss: 0.0459986 | val_loss: 0.0459265 | Time: 3079.79 ms [2020-11-26 17:30:50 main:581] : INFO : Epoch 24 | loss: 0.0456643 | val_loss: 0.0457052 | Time: 3018.11 ms [2020-11-26 17:30:53 main:581] : INFO : Epoch 25 | loss: 0.0452516 | val_loss: 0.0453798 | Time: 3007.21 ms [2020-11-26 17:30:56 main:581] : INFO : Epoch 26 | loss: 0.0451087 | val_loss: 0.0450975 | Time: 2978.24 ms [2020-11-26 17:30:59 main:581] : INFO : Epoch 27 | loss: 0.0448093 | val_loss: 0.0448698 | Time: 2933.99 ms [2020-11-26 17:31:02 main:581] : INFO : Epoch 28 | loss: 0.0445663 | val_loss: 0.0446713 | Time: 3172.05 ms [2020-11-26 17:31:05 main:581] : INFO : Epoch 29 | loss: 0.0447511 | val_loss: 0.0449397 | Time: 2909.9 ms [2020-11-26 17:31:08 main:581] : INFO : Epoch 30 | loss: 0.0447038 | val_loss: 0.0447714 | Time: 3089.06 ms [2020-11-26 17:31:11 main:581] : INFO : Epoch 31 | loss: 0.0443057 | val_loss: 0.0444103 | Time: 3135.64 ms [2020-11-26 17:31:14 main:581] : INFO : Epoch 32 | loss: 0.0439581 | val_loss: 0.0441116 | Time: 3014.48 ms [2020-11-26 17:31:17 main:581] : INFO : Epoch 33 | loss: 0.043639 | val_loss: 0.0438606 | Time: 2934.5 ms [2020-11-26 17:31:20 main:581] : INFO : Epoch 34 | loss: 0.0434714 | val_loss: 0.0436377 | Time: 3093.75 ms [2020-11-26 17:31:23 main:581] : INFO : Epoch 35 | loss: 0.0432026 | val_loss: 0.0440034 | Time: 3002.68 ms [2020-11-26 17:31:26 main:581] : INFO : Epoch 36 | loss: 0.0440719 | val_loss: 0.0444004 | Time: 3052.3 ms [2020-11-26 17:31:29 main:581] : INFO : Epoch 37 | loss: 0.0440396 | val_loss: 0.0441929 | Time: 3002.67 ms [2020-11-26 17:31:33 main:581] : INFO : Epoch 38 | loss: 0.043855 | val_loss: 0.0440936 | Time: 3101.04 ms [2020-11-26 17:31:36 main:581] : INFO : Epoch 39 | loss: 0.0435986 | val_loss: 0.0436954 | Time: 2987.17 ms [2020-11-26 17:31:39 main:581] : INFO : Epoch 40 | loss: 0.0433014 | val_loss: 0.0435573 | Time: 3001.69 ms [2020-11-26 17:31:41 main:581] : INFO : Epoch 41 | loss: 0.043223 | val_loss: 0.0433225 | Time: 2954.19 ms [2020-11-26 17:31:44 main:581] : INFO : Epoch 42 | loss: 0.04301 | val_loss: 0.0431057 | Time: 2999.65 ms [2020-11-26 17:31:48 main:581] : INFO : Epoch 43 | loss: 0.0436691 | val_loss: 0.0463957 | Time: 3018.28 ms [2020-11-26 17:31:51 main:581] : INFO : Epoch 44 | loss: 0.0462415 | val_loss: 0.0464521 | Time: 3457.47 ms [2020-11-26 17:31:54 main:581] : INFO : Epoch 45 | loss: 0.0460335 | val_loss: 0.0462718 | Time: 2963.78 ms [2020-11-26 17:31:57 main:581] : INFO : Epoch 46 | loss: 0.0457284 | val_loss: 0.0459758 | Time: 3222.54 ms [2020-11-26 17:32:00 main:581] : INFO : Epoch 47 | loss: 0.0454235 | val_loss: 0.0456148 | Time: 3004.76 ms [2020-11-26 17:32:03 main:581] : INFO : Epoch 48 | loss: 0.0452252 | val_loss: 0.0455892 | Time: 3085.96 ms [2020-11-26 17:32:06 main:581] : INFO : Epoch 49 | loss: 0.0450451 | val_loss: 0.0454383 | Time: 2972.41 ms [2020-11-26 17:32:09 main:581] : INFO : Epoch 50 | loss: 0.0447824 | val_loss: 0.0451152 | Time: 3010.98 ms [2020-11-26 17:32:12 main:581] : INFO : Epoch 51 | loss: 0.0448148 | val_loss: 0.0452828 | Time: 2968.41 ms [2020-11-26 17:32:15 main:581] : INFO : Epoch 52 | loss: 0.0449541 | val_loss: 0.0450663 | Time: 2982.59 ms [2020-11-26 17:32:18 main:581] : INFO : Epoch 53 | loss: 0.0449756 | val_loss: 0.0451439 | Time: 3015.61 ms [2020-11-26 17:32:21 main:581] : INFO : Epoch 54 | loss: 0.0449177 | val_loss: 0.0450031 | Time: 2994.81 ms [2020-11-26 17:32:24 main:581] : INFO : Epoch 55 | loss: 0.0445356 | val_loss: 0.0446168 | Time: 3053.81 ms [2020-11-26 17:32:27 main:581] : INFO : Epoch 56 | loss: 0.0442517 | val_loss: 0.0443568 | Time: 2995.63 ms [2020-11-26 17:32:30 main:581] : INFO : Epoch 57 | loss: 0.0437822 | val_loss: 0.0440791 | Time: 3043.81 ms [2020-11-26 17:32:33 main:581] : INFO : Epoch 58 | loss: 0.0437119 | val_loss: 0.0442469 | Time: 3041.52 ms [2020-11-26 17:32:36 main:581] : INFO : Epoch 59 | loss: 0.0446208 | val_loss: 0.0447323 | Time: 3044.11 ms [2020-11-26 17:32:39 main:581] : INFO : Epoch 60 | loss: 0.0446367 | val_loss: 0.0447818 | Time: 2979.54 ms [2020-11-26 17:32:42 main:581] : INFO : Epoch 61 | loss: 0.0442228 | val_loss: 0.0443107 | Time: 3055.91 ms [2020-11-26 17:32:45 main:581] : INFO : Epoch 62 | loss: 0.0438756 | val_loss: 0.0441722 | Time: 3028.29 ms [2020-11-26 17:32:49 main:581] : INFO : Epoch 63 | loss: 0.0432966 | val_loss: 0.0438339 | Time: 3146.39 ms [2020-11-26 17:32:52 main:581] : INFO : Epoch 64 | loss: 0.0428977 | val_loss: 0.0436521 | Time: 3150.93 ms [2020-11-26 17:32:55 main:581] : INFO : Epoch 65 | loss: 0.0425722 | val_loss: 0.0429255 | Time: 2986.04 ms [2020-11-26 17:32:58 main:581] : INFO : Epoch 66 | loss: 0.0423488 | val_loss: 0.0428665 | Time: 3022.6 ms [2020-11-26 17:33:01 main:581] : INFO : Epoch 67 | loss: 0.0426422 | val_loss: 0.0432972 | Time: 3062.33 ms [2020-11-26 17:33:04 main:581] : INFO : Epoch 68 | loss: 0.0427616 | val_loss: 0.0431078 | Time: 2971.92 ms [2020-11-26 17:33:07 main:581] : INFO : Epoch 69 | loss: 0.0429614 | val_loss: 0.0440745 | Time: 2999.96 ms [2020-11-26 17:33:10 main:581] : INFO : Epoch 70 | loss: 0.0432276 | val_loss: 0.0439953 | Time: 3015.09 ms [2020-11-26 17:33:13 main:581] : INFO : Epoch 71 | loss: 0.0440078 | val_loss: 0.0444897 | Time: 2996.92 ms [2020-11-26 17:33:16 main:581] : INFO : Epoch 72 | loss: 0.0436894 | val_loss: 0.0440561 | Time: 3017.17 ms [2020-11-26 17:33:19 main:581] : INFO : Epoch 73 | loss: 0.0436328 | val_loss: 0.0445252 | Time: 3037.23 ms [2020-11-26 17:33:22 main:581] : INFO : Epoch 74 | loss: 0.0435094 | val_loss: 0.0437609 | Time: 2990.81 ms [2020-11-26 17:33:25 main:581] : INFO : Epoch 75 | loss: 0.0429189 | val_loss: 0.0433775 | Time: 3134.55 ms [2020-11-26 17:33:28 main:581] : INFO : Epoch 76 | loss: 0.0425129 | val_loss: 0.0429943 | Time: 3089.46 ms [2020-11-26 17:33:31 main:581] : INFO : Epoch 77 | loss: 0.0426178 | val_loss: 0.0438187 | Time: 2983.75 ms [2020-11-26 17:33:34 main:581] : INFO : Epoch 78 | loss: 0.0436909 | val_loss: 0.0472394 | Time: 3011.11 ms [2020-11-26 17:33:37 main:581] : INFO : Epoch 79 | loss: 0.0490322 | val_loss: 0.0492043 | Time: 3005.66 ms [2020-11-26 17:33:40 main:581] : INFO : Epoch 80 | loss: 0.0490005 | val_loss: 0.048601 | Time: 3389.32 ms [2020-11-26 17:33:44 main:581] : INFO : Epoch 81 | loss: 0.0484817 | val_loss: 0.0483913 | Time: 3068.09 ms [2020-11-26 17:33:47 main:581] : INFO : Epoch 82 | loss: 0.0483398 | val_loss: 0.0482279 | Time: 3049.97 ms [2020-11-26 17:33:50 main:581] : INFO : Epoch 83 | loss: 0.0481603 | val_loss: 0.0479274 | Time: 2999.78 ms [2020-11-26 17:33:53 main:581] : INFO : Epoch 84 | loss: 0.0478671 | val_loss: 0.0476852 | Time: 3055.76 ms [2020-11-26 17:33:56 main:581] : INFO : Epoch 85 | loss: 0.0474882 | val_loss: 0.0474134 | Time: 3191.56 ms [2020-11-26 17:33:59 main:581] : INFO : Epoch 86 | loss: 0.0473317 | val_loss: 0.0473517 | Time: 2946.61 ms [2020-11-26 17:34:02 main:581] : INFO : Epoch 87 | loss: 0.0471239 | val_loss: 0.0471351 | Time: 3014.54 ms [2020-11-26 17:34:05 main:581] : INFO : Epoch 88 | loss: 0.0468834 | val_loss: 0.0470784 | Time: 2971.14 ms [2020-11-26 17:34:08 main:581] : INFO : Epoch 89 | loss: 0.0469813 | val_loss: 0.0472181 | Time: 3064.1 ms [2020-11-26 17:34:11 main:581] : INFO : Epoch 90 | loss: 0.0470411 | val_loss: 0.0470503 | Time: 3029.28 ms [2020-11-26 17:34:14 main:581] : INFO : Epoch 91 | loss: 0.0468117 | val_loss: 0.0466934 | Time: 3074.12 ms [2020-11-26 17:34:17 main:581] : INFO : Epoch 92 | loss: 0.0466223 | val_loss: 0.0465886 | Time: 3019 ms [2020-11-26 17:34:20 main:581] : INFO : Epoch 93 | loss: 0.0465037 | val_loss: 0.0463302 | Time: 3058.94 ms [2020-11-26 17:34:23 main:581] : INFO : Epoch 94 | loss: 0.0468465 | val_loss: 0.0473667 | Time: 2965.18 ms [2020-11-26 17:34:26 main:581] : INFO : Epoch 95 | loss: 0.047224 | val_loss: 0.047606 | Time: 3055.5 ms [2020-11-26 17:34:29 main:581] : INFO : Epoch 96 | loss: 0.0477423 | val_loss: 0.0477057 | Time: 3075.6 ms [2020-11-26 17:34:32 main:581] : INFO : Epoch 97 | loss: 0.0474437 | val_loss: 0.0472847 | Time: 3290.47 ms [2020-11-26 17:34:35 main:581] : INFO : Epoch 98 | loss: 0.0471679 | val_loss: 0.046876 | Time: 3009.42 ms [2020-11-26 17:34:38 main:581] : INFO : Epoch 99 | loss: 0.0467173 | val_loss: 0.0466807 | Time: 2977.6 ms [2020-11-26 17:34:41 main:581] : INFO : Epoch 100 | loss: 0.0473375 | val_loss: 0.0478946 | Time: 3043.93 ms [2020-11-26 17:34:44 main:581] : INFO : Epoch 101 | loss: 0.0479506 | val_loss: 0.0480212 | Time: 2958.14 ms [2020-11-26 17:34:47 main:581] : INFO : Epoch 102 | loss: 0.0475795 | val_loss: 0.0474387 | Time: 2991.82 ms [2020-11-26 17:34:50 main:581] : INFO : Epoch 103 | loss: 0.0472158 | val_loss: 0.0471321 | Time: 3000.95 ms [2020-11-26 17:34:53 main:581] : INFO : Epoch 104 | loss: 0.0474948 | val_loss: 0.0476338 | Time: 3065.43 ms [2020-11-26 17:34:56 main:581] : INFO : Epoch 105 | loss: 0.0475815 | val_loss: 0.0475106 | Time: 2991.79 ms [2020-11-26 17:34:59 main:581] : INFO : Epoch 106 | loss: 0.0472747 | val_loss: 0.0470233 | Time: 2986.5 ms [2020-11-26 17:35:02 main:581] : INFO : Epoch 107 | loss: 0.0471716 | val_loss: 0.0474262 | Time: 3002.32 ms [2020-11-26 17:35:05 main:581] : INFO : Epoch 108 | loss: 0.0470634 | val_loss: 0.046815 | Time: 3012.03 ms [2020-11-26 17:35:09 main:581] : INFO : Epoch 109 | loss: 0.0465982 | val_loss: 0.0465076 | Time: 3091.56 ms [2020-11-26 17:35:12 main:581] : INFO : Epoch 110 | loss: 0.046303 | val_loss: 0.0464422 | Time: 3052.04 ms [2020-11-26 17:35:15 main:581] : INFO : Epoch 111 | loss: 0.0459918 | val_loss: 0.0461642 | Time: 3037.57 ms [2020-11-26 17:35:18 main:581] : INFO : Epoch 112 | loss: 0.0456017 | val_loss: 0.0460025 | Time: 3010.4 ms [2020-11-26 17:35:21 main:581] : INFO : Epoch 113 | loss: 0.0457652 | val_loss: 0.0461975 | Time: 3067.58 ms [2020-11-26 17:35:24 main:581] : INFO : Epoch 114 | loss: 0.0463775 | val_loss: 0.0470864 | Time: 3003.33 ms [2020-11-26 17:35:27 main:581] : INFO : Epoch 115 | loss: 0.0466319 | val_loss: 0.0467728 | Time: 3047.1 ms [2020-11-26 17:35:30 main:581] : INFO : Epoch 116 | loss: 0.0463451 | val_loss: 0.0473201 | Time: 3013.39 ms [2020-11-26 17:35:33 main:581] : INFO : Epoch 117 | loss: 0.046983 | val_loss: 0.0470566 | Time: 3258.39 ms [2020-11-26 17:35:36 main:581] : INFO : Epoch 118 | loss: 0.0468043 | val_loss: 0.0470437 | Time: 3073.06 ms [2020-11-26 17:35:39 main:581] : INFO : Epoch 119 | loss: 0.0476331 | val_loss: 0.0483319 | Time: 2991.56 ms [2020-11-26 17:35:42 main:581] : INFO : Epoch 120 | loss: 0.0478733 | val_loss: 0.0481028 | Time: 2985.52 ms [2020-11-26 17:35:45 main:581] : INFO : Epoch 121 | loss: 0.0477015 | val_loss: 0.0481938 | Time: 3276.19 ms [2020-11-26 17:35:48 main:581] : INFO : Epoch 122 | loss: 0.0478492 | val_loss: 0.0479887 | Time: 2929.74 ms [2020-11-26 17:35:51 main:581] : INFO : Epoch 123 | loss: 0.0482039 | val_loss: 0.0485586 | Time: 2980.64 ms [2020-11-26 17:35:54 main:581] : INFO : Epoch 124 | loss: 0.0485605 | val_loss: 0.0485537 | Time: 2995.14 ms [2020-11-26 17:35:57 main:581] : INFO : Epoch 125 | loss: 0.0497184 | val_loss: 0.0500589 | Time: 2990.22 ms [2020-11-26 17:36:00 main:581] : INFO : Epoch 126 | loss: 0.0503535 | val_loss: 0.0517339 | Time: 2974.49 ms [2020-11-26 17:36:03 main:581] : INFO : Epoch 127 | loss: 0.051443 | val_loss: 0.0515248 | Time: 3076.41 ms [2020-11-26 17:36:06 main:581] : INFO : Epoch 128 | loss: 0.0512203 | val_loss: 0.0515855 | Time: 2980.9 ms [2020-11-26 17:36:09 main:581] : INFO : Epoch 129 | loss: 0.0519173 | val_loss: 0.0520782 | Time: 2999.5 ms [2020-11-26 17:36:12 main:581] : INFO : Epoch 130 | loss: 0.0517296 | val_loss: 0.0518098 | Time: 2972.72 ms [2020-11-26 17:36:15 main:581] : INFO : Epoch 131 | loss: 0.0528774 | val_loss: 0.0536313 | Time: 2985.94 ms [2020-11-26 17:36:18 main:581] : INFO : Epoch 132 | loss: 0.0536355 | val_loss: 0.0537539 | Time: 3213.13 ms [2020-11-26 17:36:21 main:581] : INFO : Epoch 133 | loss: 0.0536573 | val_loss: 0.0536757 | Time: 2964.38 ms [2020-11-26 17:36:24 main:581] : INFO : Epoch 134 | loss: 0.05354 | val_loss: 0.0535008 | Time: 3062.71 ms [2020-11-26 17:36:27 main:581] : INFO : Epoch 135 | loss: 0.0534395 | val_loss: 0.0534988 | Time: 3013.29 ms [2020-11-26 17:36:31 main:581] : INFO : Epoch 136 | loss: 0.0533868 | val_loss: 0.0534585 | Time: 3169.96 ms [2020-11-26 17:36:34 main:581] : INFO : Epoch 137 | loss: 0.0532903 | val_loss: 0.053255 | Time: 3013.31 ms [2020-11-26 17:36:37 main:581] : INFO : Epoch 138 | loss: 0.0531647 | val_loss: 0.0534349 | Time: 3089.44 ms [2020-11-26 17:36:40 main:581] : INFO : Epoch 139 | loss: 0.0533184 | val_loss: 0.0533088 | Time: 3011.96 ms [2020-11-26 17:36:43 main:581] : INFO : Epoch 140 | loss: 0.0532668 | val_loss: 0.0533239 | Time: 2948.3 ms [2020-11-26 17:36:46 main:581] : INFO : Epoch 141 | loss: 0.0532069 | val_loss: 0.0533012 | Time: 3075.21 ms [2020-11-26 17:36:49 main:581] : INFO : Epoch 142 | loss: 0.0530922 | val_loss: 0.0530105 | Time: 3108.06 ms [2020-11-26 17:36:52 main:581] : INFO : Epoch 143 | loss: 0.0528621 | val_loss: 0.0529335 | Time: 3065.89 ms [2020-11-26 17:36:55 main:581] : INFO : Epoch 144 | loss: 0.0527907 | val_loss: 0.0526935 | Time: 3017.95 ms [2020-11-26 17:36:58 main:581] : INFO : Epoch 145 | loss: 0.052612 | val_loss: 0.052802 | Time: 3039.07 ms [2020-11-26 17:37:01 main:581] : INFO : Epoch 146 | loss: 0.0526273 | val_loss: 0.0526591 | Time: 2999.45 ms [2020-11-26 17:37:04 main:581] : INFO : Epoch 147 | loss: 0.0525946 | val_loss: 0.0529161 | Time: 3068.09 ms [2020-11-26 17:37:07 main:581] : INFO : Epoch 148 | loss: 0.0525914 | val_loss: 0.0527023 | Time: 2963.59 ms [2020-11-26 17:37:10 main:581] : INFO : Epoch 149 | loss: 0.0524182 | val_loss: 0.0524709 | Time: 3053.43 ms [2020-11-26 17:37:13 main:581] : INFO : Epoch 150 | loss: 0.0522523 | val_loss: 0.0522886 | Time: 3113.27 ms [2020-11-26 17:37:16 main:581] : INFO : Epoch 151 | loss: 0.0520871 | val_loss: 0.0521159 | Time: 3005.94 ms [2020-11-26 17:37:19 main:581] : INFO : Epoch 152 | loss: 0.0519187 | val_loss: 0.051969 | Time: 2990.9 ms [2020-11-26 17:37:22 main:581] : INFO : Epoch 153 | loss: 0.0518931 | val_loss: 0.0526391 | Time: 2980.47 ms [2020-11-26 17:37:25 main:581] : INFO : Epoch 154 | loss: 0.0525263 | val_loss: 0.0528368 | Time: 3040.41 ms [2020-11-26 17:37:28 main:581] : INFO : Epoch 155 | loss: 0.0526708 | val_loss: 0.0528876 | Time: 3087.79 ms [2020-11-26 17:37:31 main:581] : INFO : Epoch 156 | loss: 0.0526209 | val_loss: 0.0526051 | Time: 3114.11 ms [2020-11-26 17:37:35 main:581] : INFO : Epoch 157 | loss: 0.0524678 | val_loss: 0.0525638 | Time: 3148.93 ms [2020-11-26 17:37:38 main:581] : INFO : Epoch 158 | loss: 0.0524334 | val_loss: 0.0527541 | Time: 2983.4 ms [2020-11-26 17:37:41 main:581] : INFO : Epoch 159 | loss: 0.0532323 | val_loss: 0.0532875 | Time: 2989.17 ms [2020-11-26 17:37:44 main:581] : INFO : Epoch 160 | loss: 0.0533592 | val_loss: 0.053224 | Time: 3127.13 ms [2020-11-26 17:37:47 main:581] : INFO : Epoch 161 | loss: 0.0533479 | val_loss: 0.0531336 | Time: 3154.08 ms [2020-11-26 17:37:50 main:581] : INFO : Epoch 162 | loss: 0.0531005 | val_loss: 0.0529818 | Time: 2987.13 ms [2020-11-26 17:37:53 main:581] : INFO : Epoch 163 | loss: 0.0529678 | val_loss: 0.0529202 | Time: 3050.71 ms [2020-11-26 17:37:56 main:581] : INFO : Epoch 164 | loss: 0.0528989 | val_loss: 0.0528781 | Time: 2940.68 ms [2020-11-26 17:37:59 main:581] : INFO : Epoch 165 | loss: 0.0529294 | val_loss: 0.0528958 | Time: 3087.78 ms [2020-11-26 17:38:02 main:581] : INFO : Epoch 166 | loss: 0.052923 | val_loss: 0.052864 | Time: 3080.1 ms [2020-11-26 17:38:05 main:581] : INFO : Epoch 167 | loss: 0.0528447 | val_loss: 0.0527711 | Time: 2962.24 ms [2020-11-26 17:38:08 main:581] : INFO : Epoch 168 | loss: 0.0527844 | val_loss: 0.0527763 | Time: 2955.51 ms [2020-11-26 17:38:11 main:581] : INFO : Epoch 169 | loss: 0.0527209 | val_loss: 0.0526995 | Time: 2972.79 ms [2020-11-26 17:38:14 main:581] : INFO : Epoch 170 | loss: 0.0526814 | val_loss: 0.0526519 | Time: 2952.54 ms [2020-11-26 17:38:17 main:581] : INFO : Epoch 171 | loss: 0.0526284 | val_loss: 0.0525589 | Time: 2940.68 ms [2020-11-26 17:38:20 main:581] : INFO : Epoch 172 | loss: 0.0525491 | val_loss: 0.0524733 | Time: 3029.95 ms [2020-11-26 17:38:23 main:581] : INFO : Epoch 173 | loss: 0.052475 | val_loss: 0.0525075 | Time: 3062.61 ms [2020-11-26 17:38:26 main:581] : INFO : Epoch 174 | loss: 0.0525437 | val_loss: 0.0526686 | Time: 3030.55 ms [2020-11-26 17:38:29 main:581] : INFO : Epoch 175 | loss: 0.0526018 | val_loss: 0.0526495 | Time: 3029.29 ms [2020-11-26 17:38:32 main:581] : INFO : Epoch 176 | loss: 0.0525605 | val_loss: 0.0525875 | Time: 2997.18 ms [2020-11-26 17:38:35 main:581] : INFO : Epoch 177 | loss: 0.0524461 | val_loss: 0.0524931 | Time: 2984.66 ms [2020-11-26 17:38:38 main:581] : INFO : Epoch 178 | loss: 0.0523425 | val_loss: 0.0522978 | Time: 3234.15 ms [2020-11-26 17:38:41 main:581] : INFO : Epoch 179 | loss: 0.0521432 | val_loss: 0.0522667 | Time: 2980.29 ms [2020-11-26 17:38:44 main:581] : INFO : Epoch 180 | loss: 0.0522283 | val_loss: 0.0522505 | Time: 2982.24 ms [2020-11-26 17:38:47 main:581] : INFO : Epoch 181 | loss: 0.0522013 | val_loss: 0.0522244 | Time: 2938.58 ms [2020-11-26 17:38:50 main:581] : INFO : Epoch 182 | loss: 0.0521663 | val_loss: 0.0522733 | Time: 2995.99 ms [2020-11-26 17:38:53 main:581] : INFO : Epoch 183 | loss: 0.0522602 | val_loss: 0.0522657 | Time: 3019.16 ms [2020-11-26 17:38:56 main:581] : INFO : Epoch 184 | loss: 0.0522882 | val_loss: 0.052337 | Time: 2932.78 ms [2020-11-26 17:38:59 main:581] : INFO : Epoch 185 | loss: 0.0523467 | val_loss: 0.0533185 | Time: 3159.87 ms [2020-11-26 17:39:02 main:581] : INFO : Epoch 186 | loss: 0.0534952 | val_loss: 0.0534731 | Time: 3039.54 ms [2020-11-26 17:39:05 main:581] : INFO : Epoch 187 | loss: 0.0534198 | val_loss: 0.0534231 | Time: 2978.74 ms [2020-11-26 17:39:08 main:581] : INFO : Epoch 188 | loss: 0.0533566 | val_loss: 0.053564 | Time: 3100.1 ms [2020-11-26 17:39:11 main:581] : INFO : Epoch 189 | loss: 0.0536161 | val_loss: 0.0536739 | Time: 3091.89 ms [2020-11-26 17:39:14 main:581] : INFO : Epoch 190 | loss: 0.0539094 | val_loss: 0.0549087 | Time: 3025.58 ms [2020-11-26 17:39:17 main:581] : INFO : Epoch 191 | loss: 0.0549981 | val_loss: 0.0549769 | Time: 2943.86 ms [2020-11-26 17:39:20 main:581] : INFO : Epoch 192 | loss: 0.0549676 | val_loss: 0.0549316 | Time: 2970.31 ms [2020-11-26 17:39:20 main:604] : INFO : Saving trained model to model-final.pt, val_loss 0.0549316 [2020-11-26 17:39:20 main:610] : INFO : Saving end state to config to file [2020-11-26 17:39:20 main:615] : INFO : Success, exiting.. 17:39:20 (15490): 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)