Task 3074418
| Name | rand_automata_0082-1606118020-23562-86_0 |
| Workunit | 1402777 |
| Created | 26 Nov 2020, 19:43:34 UTC |
| Sent | 26 Nov 2020, 19:53:28 UTC |
| Report deadline | 3 Dec 2020, 19:53:28 UTC |
| Received | 26 Nov 2020, 20:04:21 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 49 sec |
| Validate state | Valid |
| Credit | 959.40 |
| Device peak FLOPS | 3,339.24 GFLOPS |
| Application version | Machine Learning Dataset Generator (test) v9.80 (cuda10200) x86_64-pc-linux-gnu |
| Peak working set size | 2.19 GB |
| Peak swap size | 9.98 GB |
| Peak disk usage | 2.98 GB |
Stderr output
<core_client_version>7.14.2</core_client_version> <![CDATA[ <stderr_txt> DEBUG: Args: ../../projects/www.mlcathome.org_mlcathome/mlds-gpu_9.80_x86_64-pc-linux-gnu__cuda10200 -c -a LSTM --lr 0.001 -w 64 -b 2 -s 32 --maxepoch 192 nthreads: 1 gpudev: 0 Re-exec()-ing to set environment correctly Machine Learning Dataset Generator v9.80 (Linux/x86_64) (libTorch: release/1.7 GPU: GeForce GTX 1650) [2020-11-26 14:53:46 main:442] : INFO : Set logging level to 1 [2020-11-26 14:53:46 main:448] : INFO : Running in BOINC Client mode [2020-11-26 14:53:46 main:451] : INFO : Resolving all filenames [2020-11-26 14:53:46 main:459] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-train-val-dataset.hdf5 (exists = 1) [2020-11-26 14:53:46 main:459] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-1606118020-23562-86_0_r98747427_1 (exists = 0) [2020-11-26 14:53:46 main:459] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-1606118020-23562-86_0_r98747427_0 (exists = 0) [2020-11-26 14:53:46 main:459] : INFO : Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-1606118020-23562-86 (exists = 1) [2020-11-26 14:53:46 main:459] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-26 14:53:46 main:479] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-train-val-dataset.hdf5 [2020-11-26 14:53:46 main:481] : INFO : Configuration: [2020-11-26 14:53:46 main:482] : INFO : Model type: LSTM [2020-11-26 14:53:46 main:483] : INFO : Validation Loss Threshold: 0.0001 [2020-11-26 14:53:46 main:484] : INFO : Max Epochs: 192 [2020-11-26 14:53:46 main:485] : INFO : Batch Size: 32 [2020-11-26 14:53:46 main:486] : INFO : Learning Rate: 0.001 [2020-11-26 14:53:46 main:487] : INFO : Patience: 10 [2020-11-26 14:53:46 main:488] : INFO : Hidden Width: 64 [2020-11-26 14:53:46 main:489] : INFO : # Recurrent Layers: 4 [2020-11-26 14:53:46 main:490] : INFO : # Backend Layers: 2 [2020-11-26 14:53:46 main:491] : INFO : # Threads: 1 [2020-11-26 14:53:46 main:493] : INFO : Preparing Dataset [2020-11-26 14:53:46 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-train-val-dataset.hdf5 into memory [2020-11-26 14:53:46 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-train-val-dataset.hdf5 into memory [2020-11-26 14:53:48 load:106] : INFO : Successfully loaded dataset of 4096 examples into memory. [2020-11-26 14:53:48 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-train-val-dataset.hdf5 into memory [2020-11-26 14:53:48 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-train-val-dataset.hdf5 into memory [2020-11-26 14:53:48 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-26 14:53:48 main:501] : INFO : Creating Model [2020-11-26 14:53:48 main:514] : INFO : Preparing config file [2020-11-26 14:53:48 main:526] : INFO : Creating new config file [2020-11-26 14:53:48 main:545] : INFO : This is a continuation WU, loading previous network [2020-11-26 14:53:49 main:566] : INFO : Loading DataLoader into Memory [2020-11-26 14:53:49 main:569] : INFO : Starting Training [2020-11-26 14:53:53 main:581] : INFO : Epoch 1 | loss: 0.0483183 | val_loss: 0.0479326 | Time: 4642 ms [2020-11-26 14:53:56 main:581] : INFO : Epoch 2 | loss: 0.0480297 | val_loss: 0.0481191 | Time: 2994.45 ms [2020-11-26 14:53:59 main:581] : INFO : Epoch 3 | loss: 0.0481471 | val_loss: 0.0482965 | Time: 3103.23 ms [2020-11-26 14:54:02 main:581] : INFO : Epoch 4 | loss: 0.0479254 | val_loss: 0.0476907 | Time: 3036.27 ms [2020-11-26 14:54:05 main:581] : INFO : Epoch 5 | loss: 0.0475418 | val_loss: 0.0474829 | Time: 2976.89 ms [2020-11-26 14:54:08 main:581] : INFO : Epoch 6 | loss: 0.0472993 | val_loss: 0.0472769 | Time: 3047.78 ms [2020-11-26 14:54:11 main:581] : INFO : Epoch 7 | loss: 0.0473708 | val_loss: 0.0475762 | Time: 2976.33 ms [2020-11-26 14:54:14 main:581] : INFO : Epoch 8 | loss: 0.047636 | val_loss: 0.0475426 | Time: 3007.96 ms [2020-11-26 14:54:18 main:581] : INFO : Epoch 9 | loss: 0.0475138 | val_loss: 0.047391 | Time: 3065.29 ms [2020-11-26 14:54:21 main:581] : INFO : Epoch 10 | loss: 0.0473845 | val_loss: 0.0473919 | Time: 3043.45 ms [2020-11-26 14:54:24 main:581] : INFO : Epoch 11 | loss: 0.0472844 | val_loss: 0.04718 | Time: 3069.71 ms [2020-11-26 14:54:27 main:581] : INFO : Epoch 12 | loss: 0.0472599 | val_loss: 0.047443 | Time: 2979.91 ms [2020-11-26 14:54:30 main:581] : INFO : Epoch 13 | loss: 0.0474547 | val_loss: 0.0475483 | Time: 3090.29 ms [2020-11-26 14:54:33 main:581] : INFO : Epoch 14 | loss: 0.0474795 | val_loss: 0.0475292 | Time: 3162.12 ms [2020-11-26 14:54:36 main:581] : INFO : Epoch 15 | loss: 0.0473773 | val_loss: 0.0477164 | Time: 3033.97 ms [2020-11-26 14:54:39 main:581] : INFO : Epoch 16 | loss: 0.0478357 | val_loss: 0.0481907 | Time: 3138.3 ms [2020-11-26 14:54:42 main:581] : INFO : Epoch 17 | loss: 0.0480256 | val_loss: 0.0480381 | Time: 3150.14 ms [2020-11-26 14:54:45 main:581] : INFO : Epoch 18 | loss: 0.0477863 | val_loss: 0.0478809 | Time: 3056.54 ms [2020-11-26 14:54:48 main:581] : INFO : Epoch 19 | loss: 0.047616 | val_loss: 0.0476333 | Time: 2974.99 ms [2020-11-26 14:54:51 main:581] : INFO : Epoch 20 | loss: 0.0473164 | val_loss: 0.0473778 | Time: 3070.6 ms [2020-11-26 14:54:54 main:581] : INFO : Epoch 21 | loss: 0.0472201 | val_loss: 0.0473753 | Time: 2985.53 ms [2020-11-26 14:54:57 main:581] : INFO : Epoch 22 | loss: 0.0472381 | val_loss: 0.0476427 | Time: 3058.59 ms [2020-11-26 14:55:00 main:581] : INFO : Epoch 23 | loss: 0.0476361 | val_loss: 0.0477001 | Time: 3044.37 ms [2020-11-26 14:55:03 main:581] : INFO : Epoch 24 | loss: 0.0474601 | val_loss: 0.0475375 | Time: 2983.07 ms [2020-11-26 14:55:06 main:581] : INFO : Epoch 25 | loss: 0.0475974 | val_loss: 0.0477217 | Time: 3002.62 ms [2020-11-26 14:55:09 main:581] : INFO : Epoch 26 | loss: 0.0474124 | val_loss: 0.0471333 | Time: 3110.77 ms [2020-11-26 14:55:13 main:581] : INFO : Epoch 27 | loss: 0.0469394 | val_loss: 0.046966 | Time: 3023.48 ms [2020-11-26 14:55:16 main:581] : INFO : Epoch 28 | loss: 0.04679 | val_loss: 0.0469564 | Time: 2994.65 ms [2020-11-26 14:55:19 main:581] : INFO : Epoch 29 | loss: 0.0467554 | val_loss: 0.0469861 | Time: 3033.89 ms [2020-11-26 14:55:22 main:581] : INFO : Epoch 30 | loss: 0.0468487 | val_loss: 0.0473023 | Time: 3042.79 ms [2020-11-26 14:55:25 main:581] : INFO : Epoch 31 | loss: 0.0470164 | val_loss: 0.0472701 | Time: 3159.95 ms [2020-11-26 14:55:28 main:581] : INFO : Epoch 32 | loss: 0.0468466 | val_loss: 0.0470598 | Time: 3017.04 ms [2020-11-26 14:55:31 main:581] : INFO : Epoch 33 | loss: 0.0468149 | val_loss: 0.047599 | Time: 3029.12 ms [2020-11-26 14:55:34 main:581] : INFO : Epoch 34 | loss: 0.0475479 | val_loss: 0.0477661 | Time: 3046.18 ms [2020-11-26 14:55:37 main:581] : INFO : Epoch 35 | loss: 0.0474987 | val_loss: 0.0476749 | Time: 2967.24 ms [2020-11-26 14:55:40 main:581] : INFO : Epoch 36 | loss: 0.0473529 | val_loss: 0.0476115 | Time: 2945.31 ms [2020-11-26 14:55:43 main:581] : INFO : Epoch 37 | loss: 0.0473007 | val_loss: 0.047058 | Time: 2977.26 ms [2020-11-26 14:55:46 main:581] : INFO : Epoch 38 | loss: 0.0469582 | val_loss: 0.046938 | Time: 2968.35 ms [2020-11-26 14:55:49 main:581] : INFO : Epoch 39 | loss: 0.0468286 | val_loss: 0.0468388 | Time: 2967.95 ms [2020-11-26 14:55:52 main:581] : INFO : Epoch 40 | loss: 0.0467241 | val_loss: 0.0468109 | Time: 3115.19 ms [2020-11-26 14:55:55 main:581] : INFO : Epoch 41 | loss: 0.0465532 | val_loss: 0.0467043 | Time: 2941.03 ms [2020-11-26 14:55:58 main:581] : INFO : Epoch 42 | loss: 0.0464025 | val_loss: 0.0466095 | Time: 3083.75 ms [2020-11-26 14:56:01 main:581] : INFO : Epoch 43 | loss: 0.0463344 | val_loss: 0.0464385 | Time: 3209.56 ms [2020-11-26 14:56:04 main:581] : INFO : Epoch 44 | loss: 0.046203 | val_loss: 0.0465772 | Time: 3225.96 ms [2020-11-26 14:56:07 main:581] : INFO : Epoch 45 | loss: 0.0463458 | val_loss: 0.0465169 | Time: 2997.13 ms [2020-11-26 14:56:10 main:581] : INFO : Epoch 46 | loss: 0.0463903 | val_loss: 0.0474468 | Time: 3027.18 ms [2020-11-26 14:56:13 main:581] : INFO : Epoch 47 | loss: 0.0476888 | val_loss: 0.0482596 | Time: 3087.14 ms [2020-11-26 14:56:16 main:581] : INFO : Epoch 48 | loss: 0.0477296 | val_loss: 0.0481811 | Time: 2962.63 ms [2020-11-26 14:56:19 main:581] : INFO : Epoch 49 | loss: 0.0474753 | val_loss: 0.0478363 | Time: 2989.04 ms [2020-11-26 14:56:22 main:581] : INFO : Epoch 50 | loss: 0.0472106 | val_loss: 0.0475527 | Time: 3058 ms [2020-11-26 14:56:25 main:581] : INFO : Epoch 51 | loss: 0.0469996 | val_loss: 0.0474216 | Time: 2995.36 ms [2020-11-26 14:56:28 main:581] : INFO : Epoch 52 | loss: 0.0484202 | val_loss: 0.0503036 | Time: 3034.84 ms [2020-11-26 14:56:31 main:581] : INFO : Epoch 53 | loss: 0.0500119 | val_loss: 0.0502819 | Time: 2984.72 ms [2020-11-26 14:56:34 main:581] : INFO : Epoch 54 | loss: 0.0499799 | val_loss: 0.0501146 | Time: 3104.51 ms [2020-11-26 14:56:37 main:581] : INFO : Epoch 55 | loss: 0.049868 | val_loss: 0.0500822 | Time: 3002.93 ms [2020-11-26 14:56:40 main:581] : INFO : Epoch 56 | loss: 0.0497539 | val_loss: 0.0499579 | Time: 2968.42 ms [2020-11-26 14:56:43 main:581] : INFO : Epoch 57 | loss: 0.0496557 | val_loss: 0.049802 | Time: 2963.76 ms [2020-11-26 14:56:46 main:581] : INFO : Epoch 58 | loss: 0.0496624 | val_loss: 0.0499741 | Time: 2977.63 ms [2020-11-26 14:56:49 main:581] : INFO : Epoch 59 | loss: 0.0496826 | val_loss: 0.0499761 | Time: 2953.18 ms [2020-11-26 14:56:53 main:581] : INFO : Epoch 60 | loss: 0.0496722 | val_loss: 0.0499078 | Time: 3159.76 ms [2020-11-26 14:56:56 main:581] : INFO : Epoch 61 | loss: 0.0495736 | val_loss: 0.0498444 | Time: 3044.11 ms [2020-11-26 14:56:59 main:581] : INFO : Epoch 62 | loss: 0.0494532 | val_loss: 0.0497481 | Time: 3007.47 ms [2020-11-26 14:57:02 main:581] : INFO : Epoch 63 | loss: 0.0493777 | val_loss: 0.0497368 | Time: 3113.84 ms [2020-11-26 14:57:05 main:581] : INFO : Epoch 64 | loss: 0.0493262 | val_loss: 0.0496098 | Time: 2976.95 ms [2020-11-26 14:57:08 main:581] : INFO : Epoch 65 | loss: 0.0492117 | val_loss: 0.0496151 | Time: 3005.12 ms [2020-11-26 14:57:11 main:581] : INFO : Epoch 66 | loss: 0.0492081 | val_loss: 0.0494778 | Time: 2991.41 ms [2020-11-26 14:57:14 main:581] : INFO : Epoch 67 | loss: 0.0491462 | val_loss: 0.0495351 | Time: 3411.36 ms [2020-11-26 14:57:17 main:581] : INFO : Epoch 68 | loss: 0.0491729 | val_loss: 0.0494269 | Time: 3000.44 ms [2020-11-26 14:57:20 main:581] : INFO : Epoch 69 | loss: 0.0490666 | val_loss: 0.0495758 | Time: 3145.2 ms [2020-11-26 14:57:23 main:581] : INFO : Epoch 70 | loss: 0.0492439 | val_loss: 0.0492837 | Time: 3242.72 ms [2020-11-26 14:57:27 main:581] : INFO : Epoch 71 | loss: 0.0490379 | val_loss: 0.0492757 | Time: 3115.1 ms [2020-11-26 14:57:30 main:581] : INFO : Epoch 72 | loss: 0.0489791 | val_loss: 0.0491497 | Time: 3096.52 ms [2020-11-26 14:57:33 main:581] : INFO : Epoch 73 | loss: 0.0488283 | val_loss: 0.049149 | Time: 3053.51 ms [2020-11-26 14:57:36 main:581] : INFO : Epoch 74 | loss: 0.0489347 | val_loss: 0.0490889 | Time: 3058.83 ms [2020-11-26 14:57:39 main:581] : INFO : Epoch 75 | loss: 0.0488741 | val_loss: 0.0490316 | Time: 3114.71 ms [2020-11-26 14:57:42 main:581] : INFO : Epoch 76 | loss: 0.0488683 | val_loss: 0.0488966 | Time: 2998.81 ms [2020-11-26 14:57:45 main:581] : INFO : Epoch 77 | loss: 0.0493208 | val_loss: 0.0505816 | Time: 3142.49 ms [2020-11-26 14:57:48 main:581] : INFO : Epoch 78 | loss: 0.0503832 | val_loss: 0.0505507 | Time: 2995.49 ms [2020-11-26 14:57:51 main:581] : INFO : Epoch 79 | loss: 0.0503366 | val_loss: 0.0505542 | Time: 3016.83 ms [2020-11-26 14:57:54 main:581] : INFO : Epoch 80 | loss: 0.0503249 | val_loss: 0.0505264 | Time: 2967.07 ms [2020-11-26 14:57:57 main:581] : INFO : Epoch 81 | loss: 0.0502603 | val_loss: 0.0504251 | Time: 3087.83 ms [2020-11-26 14:58:00 main:581] : INFO : Epoch 82 | loss: 0.0502289 | val_loss: 0.0503354 | Time: 2994.92 ms [2020-11-26 14:58:03 main:581] : INFO : Epoch 83 | loss: 0.0502135 | val_loss: 0.050281 | Time: 3162.68 ms [2020-11-26 14:58:07 main:581] : INFO : Epoch 84 | loss: 0.0501782 | val_loss: 0.0502973 | Time: 3262.2 ms [2020-11-26 14:58:10 main:581] : INFO : Epoch 85 | loss: 0.050165 | val_loss: 0.0502483 | Time: 3057.65 ms [2020-11-26 14:58:13 main:581] : INFO : Epoch 86 | loss: 0.0501047 | val_loss: 0.0502282 | Time: 2991 ms [2020-11-26 14:58:16 main:581] : INFO : Epoch 87 | loss: 0.0500347 | val_loss: 0.050137 | Time: 3011.39 ms [2020-11-26 14:58:19 main:581] : INFO : Epoch 88 | loss: 0.0499656 | val_loss: 0.0501263 | Time: 3048.56 ms [2020-11-26 14:58:22 main:581] : INFO : Epoch 89 | loss: 0.0499402 | val_loss: 0.0500999 | Time: 3039.4 ms [2020-11-26 14:58:25 main:581] : INFO : Epoch 90 | loss: 0.0498789 | val_loss: 0.0500884 | Time: 3026.48 ms [2020-11-26 14:58:28 main:581] : INFO : Epoch 91 | loss: 0.049878 | val_loss: 0.0500722 | Time: 3019.7 ms [2020-11-26 14:58:31 main:581] : INFO : Epoch 92 | loss: 0.0498664 | val_loss: 0.0500045 | Time: 3082.13 ms [2020-11-26 14:58:34 main:581] : INFO : Epoch 93 | loss: 0.0498454 | val_loss: 0.0500115 | Time: 3121.83 ms [2020-11-26 14:58:37 main:581] : INFO : Epoch 94 | loss: 0.0497771 | val_loss: 0.049882 | Time: 3064.92 ms [2020-11-26 14:58:40 main:581] : INFO : Epoch 95 | loss: 0.0497229 | val_loss: 0.0498185 | Time: 3055.34 ms [2020-11-26 14:58:43 main:581] : INFO : Epoch 96 | loss: 0.0496965 | val_loss: 0.0498636 | Time: 3097.68 ms [2020-11-26 14:58:46 main:581] : INFO : Epoch 97 | loss: 0.0496604 | val_loss: 0.0498106 | Time: 3342.62 ms [2020-11-26 14:58:50 main:581] : INFO : Epoch 98 | loss: 0.0496198 | val_loss: 0.0497942 | Time: 3035.24 ms [2020-11-26 14:58:53 main:581] : INFO : Epoch 99 | loss: 0.0495625 | val_loss: 0.0497257 | Time: 3084.31 ms [2020-11-26 14:58:56 main:581] : INFO : Epoch 100 | loss: 0.0495206 | val_loss: 0.049681 | Time: 3028.18 ms [2020-11-26 14:58:59 main:581] : INFO : Epoch 101 | loss: 0.0494364 | val_loss: 0.0496205 | Time: 2979 ms [2020-11-26 14:59:02 main:581] : INFO : Epoch 102 | loss: 0.0493758 | val_loss: 0.0496272 | Time: 3045.09 ms [2020-11-26 14:59:05 main:581] : INFO : Epoch 103 | loss: 0.0493225 | val_loss: 0.0495623 | Time: 2972.93 ms [2020-11-26 14:59:08 main:581] : INFO : Epoch 104 | loss: 0.0493375 | val_loss: 0.0496182 | Time: 3038.37 ms [2020-11-26 14:59:11 main:581] : INFO : Epoch 105 | loss: 0.0494191 | val_loss: 0.0495572 | Time: 2996.66 ms [2020-11-26 14:59:14 main:581] : INFO : Epoch 106 | loss: 0.0493283 | val_loss: 0.0495502 | Time: 2971.93 ms [2020-11-26 14:59:17 main:581] : INFO : Epoch 107 | loss: 0.0492654 | val_loss: 0.0495379 | Time: 3027.35 ms [2020-11-26 14:59:20 main:581] : INFO : Epoch 108 | loss: 0.0492475 | val_loss: 0.049468 | Time: 3040.18 ms [2020-11-26 14:59:23 main:581] : INFO : Epoch 109 | loss: 0.0492034 | val_loss: 0.0494679 | Time: 3065.96 ms [2020-11-26 14:59:26 main:581] : INFO : Epoch 110 | loss: 0.0491859 | val_loss: 0.0494001 | Time: 3010.51 ms [2020-11-26 14:59:29 main:581] : INFO : Epoch 111 | loss: 0.0490914 | val_loss: 0.0493865 | Time: 2965.3 ms [2020-11-26 14:59:32 main:581] : INFO : Epoch 112 | loss: 0.0490046 | val_loss: 0.0492729 | Time: 3019.91 ms [2020-11-26 14:59:35 main:581] : INFO : Epoch 113 | loss: 0.0490127 | val_loss: 0.0491979 | Time: 3079.14 ms [2020-11-26 14:59:38 main:581] : INFO : Epoch 114 | loss: 0.048919 | val_loss: 0.0491308 | Time: 2995.02 ms [2020-11-26 14:59:41 main:581] : INFO : Epoch 115 | loss: 0.0488289 | val_loss: 0.0490857 | Time: 3064.79 ms [2020-11-26 14:59:44 main:581] : INFO : Epoch 116 | loss: 0.048819 | val_loss: 0.0491113 | Time: 2975.67 ms [2020-11-26 14:59:47 main:581] : INFO : Epoch 117 | loss: 0.0488045 | val_loss: 0.0490057 | Time: 3142.57 ms [2020-11-26 14:59:50 main:581] : INFO : Epoch 118 | loss: 0.0486746 | val_loss: 0.0488805 | Time: 3088.59 ms [2020-11-26 14:59:53 main:581] : INFO : Epoch 119 | loss: 0.0486039 | val_loss: 0.0488483 | Time: 2980.93 ms [2020-11-26 14:59:56 main:581] : INFO : Epoch 120 | loss: 0.0486079 | val_loss: 0.048797 | Time: 2988.14 ms [2020-11-26 14:59:59 main:581] : INFO : Epoch 121 | loss: 0.0484488 | val_loss: 0.0486388 | Time: 3093.67 ms [2020-11-26 15:00:02 main:581] : INFO : Epoch 122 | loss: 0.0484012 | val_loss: 0.0494569 | Time: 3013.71 ms [2020-11-26 15:00:05 main:581] : INFO : Epoch 123 | loss: 0.0497333 | val_loss: 0.0499552 | Time: 2951.29 ms [2020-11-26 15:00:08 main:581] : INFO : Epoch 124 | loss: 0.0498661 | val_loss: 0.050157 | Time: 3152.37 ms [2020-11-26 15:00:11 main:581] : INFO : Epoch 125 | loss: 0.0500151 | val_loss: 0.0501281 | Time: 3025.41 ms [2020-11-26 15:00:14 main:581] : INFO : Epoch 126 | loss: 0.0499915 | val_loss: 0.0501159 | Time: 3018.54 ms [2020-11-26 15:00:17 main:581] : INFO : Epoch 127 | loss: 0.0499769 | val_loss: 0.0500923 | Time: 3040.11 ms [2020-11-26 15:00:20 main:581] : INFO : Epoch 128 | loss: 0.0499344 | val_loss: 0.0499283 | Time: 3026.93 ms [2020-11-26 15:00:23 main:581] : INFO : Epoch 129 | loss: 0.0498317 | val_loss: 0.0499061 | Time: 3035.72 ms [2020-11-26 15:00:26 main:581] : INFO : Epoch 130 | loss: 0.0497295 | val_loss: 0.0497665 | Time: 2975.44 ms [2020-11-26 15:00:29 main:581] : INFO : Epoch 131 | loss: 0.0496216 | val_loss: 0.0497096 | Time: 2990.41 ms [2020-11-26 15:00:32 main:581] : INFO : Epoch 132 | loss: 0.0497882 | val_loss: 0.0499388 | Time: 2949.38 ms [2020-11-26 15:00:36 main:581] : INFO : Epoch 133 | loss: 0.0499043 | val_loss: 0.0499 | Time: 3231.01 ms [2020-11-26 15:00:39 main:581] : INFO : Epoch 134 | loss: 0.0498529 | val_loss: 0.0498615 | Time: 2985.83 ms [2020-11-26 15:00:42 main:581] : INFO : Epoch 135 | loss: 0.0498092 | val_loss: 0.0498525 | Time: 3073.37 ms [2020-11-26 15:00:45 main:581] : INFO : Epoch 136 | loss: 0.049831 | val_loss: 0.0501937 | Time: 2969.28 ms [2020-11-26 15:00:48 main:581] : INFO : Epoch 137 | loss: 0.0500933 | val_loss: 0.050195 | Time: 3445.25 ms [2020-11-26 15:00:51 main:581] : INFO : Epoch 138 | loss: 0.0500366 | val_loss: 0.0501717 | Time: 2992.11 ms [2020-11-26 15:00:54 main:581] : INFO : Epoch 139 | loss: 0.0499932 | val_loss: 0.050168 | Time: 3088.65 ms [2020-11-26 15:00:57 main:581] : INFO : Epoch 140 | loss: 0.0499614 | val_loss: 0.0501178 | Time: 2995.04 ms [2020-11-26 15:01:00 main:581] : INFO : Epoch 141 | loss: 0.0500949 | val_loss: 0.0506869 | Time: 2956.85 ms [2020-11-26 15:01:03 main:581] : INFO : Epoch 142 | loss: 0.0505426 | val_loss: 0.0507133 | Time: 2994.05 ms [2020-11-26 15:01:06 main:581] : INFO : Epoch 143 | loss: 0.0505073 | val_loss: 0.0506946 | Time: 2986.95 ms [2020-11-26 15:01:09 main:581] : INFO : Epoch 144 | loss: 0.0504327 | val_loss: 0.0507176 | Time: 3068.68 ms [2020-11-26 15:01:12 main:581] : INFO : Epoch 145 | loss: 0.0503989 | val_loss: 0.0507855 | Time: 3052.05 ms [2020-11-26 15:01:15 main:581] : INFO : Epoch 146 | loss: 0.0504063 | val_loss: 0.050675 | Time: 3060.73 ms [2020-11-26 15:01:18 main:581] : INFO : Epoch 147 | loss: 0.0503592 | val_loss: 0.0506193 | Time: 3017.15 ms [2020-11-26 15:01:21 main:581] : INFO : Epoch 148 | loss: 0.050286 | val_loss: 0.0505514 | Time: 2992.38 ms [2020-11-26 15:01:24 main:581] : INFO : Epoch 149 | loss: 0.0502531 | val_loss: 0.0504739 | Time: 3082.1 ms [2020-11-26 15:01:27 main:581] : INFO : Epoch 150 | loss: 0.0502054 | val_loss: 0.0504842 | Time: 2966.26 ms [2020-11-26 15:01:30 main:581] : INFO : Epoch 151 | loss: 0.0501515 | val_loss: 0.0504875 | Time: 3020.53 ms [2020-11-26 15:01:33 main:581] : INFO : Epoch 152 | loss: 0.0500708 | val_loss: 0.0503033 | Time: 3110.83 ms [2020-11-26 15:01:37 main:581] : INFO : Epoch 153 | loss: 0.0499689 | val_loss: 0.0502136 | Time: 3066.79 ms [2020-11-26 15:01:40 main:581] : INFO : Epoch 154 | loss: 0.049883 | val_loss: 0.0501777 | Time: 3012.2 ms [2020-11-26 15:01:43 main:581] : INFO : Epoch 155 | loss: 0.0498451 | val_loss: 0.0501387 | Time: 3003.41 ms [2020-11-26 15:01:46 main:581] : INFO : Epoch 156 | loss: 0.0497647 | val_loss: 0.0500789 | Time: 3110.24 ms [2020-11-26 15:01:49 main:581] : INFO : Epoch 157 | loss: 0.0496448 | val_loss: 0.050067 | Time: 3600 ms [2020-11-26 15:01:52 main:581] : INFO : Epoch 158 | loss: 0.0496468 | val_loss: 0.0501214 | Time: 2956.28 ms [2020-11-26 15:01:55 main:581] : INFO : Epoch 159 | loss: 0.0495423 | val_loss: 0.050112 | Time: 3141.85 ms [2020-11-26 15:01:58 main:581] : INFO : Epoch 160 | loss: 0.0496782 | val_loss: 0.0500574 | Time: 3068.62 ms [2020-11-26 15:02:01 main:581] : INFO : Epoch 161 | loss: 0.0495813 | val_loss: 0.049957 | Time: 3033.15 ms [2020-11-26 15:02:05 main:581] : INFO : Epoch 162 | loss: 0.0494655 | val_loss: 0.0499135 | Time: 3263.46 ms [2020-11-26 15:02:08 main:581] : INFO : Epoch 163 | loss: 0.0494647 | val_loss: 0.049929 | Time: 2986.36 ms [2020-11-26 15:02:11 main:581] : INFO : Epoch 164 | loss: 0.0493415 | val_loss: 0.0496706 | Time: 3104.46 ms [2020-11-26 15:02:14 main:581] : INFO : Epoch 165 | loss: 0.0492588 | val_loss: 0.0497571 | Time: 3036 ms [2020-11-26 15:02:17 main:581] : INFO : Epoch 166 | loss: 0.0493944 | val_loss: 0.0498803 | Time: 3078.52 ms [2020-11-26 15:02:20 main:581] : INFO : Epoch 167 | loss: 0.0495188 | val_loss: 0.049916 | Time: 3070.58 ms [2020-11-26 15:02:23 main:581] : INFO : Epoch 168 | loss: 0.0494314 | val_loss: 0.0498994 | Time: 3078.18 ms [2020-11-26 15:02:26 main:581] : INFO : Epoch 169 | loss: 0.049504 | val_loss: 0.050115 | Time: 3064.53 ms [2020-11-26 15:02:29 main:581] : INFO : Epoch 170 | loss: 0.0496537 | val_loss: 0.0501636 | Time: 2982.53 ms [2020-11-26 15:02:32 main:581] : INFO : Epoch 171 | loss: 0.0496098 | val_loss: 0.050144 | Time: 2979.35 ms [2020-11-26 15:02:35 main:581] : INFO : Epoch 172 | loss: 0.0496126 | val_loss: 0.0500153 | Time: 2948 ms [2020-11-26 15:02:38 main:581] : INFO : Epoch 173 | loss: 0.0495285 | val_loss: 0.0498524 | Time: 3061.94 ms [2020-11-26 15:02:41 main:581] : INFO : Epoch 174 | loss: 0.0496458 | val_loss: 0.0500897 | Time: 3003.35 ms [2020-11-26 15:02:44 main:581] : INFO : Epoch 175 | loss: 0.0496747 | val_loss: 0.0498608 | Time: 2956.26 ms [2020-11-26 15:02:47 main:581] : INFO : Epoch 176 | loss: 0.0495886 | val_loss: 0.0504029 | Time: 3040.88 ms [2020-11-26 15:02:50 main:581] : INFO : Epoch 177 | loss: 0.050039 | val_loss: 0.0503212 | Time: 2985.09 ms [2020-11-26 15:02:53 main:581] : INFO : Epoch 178 | loss: 0.0501562 | val_loss: 0.050447 | Time: 3148.85 ms [2020-11-26 15:02:56 main:581] : INFO : Epoch 179 | loss: 0.0501169 | val_loss: 0.0503157 | Time: 3028.68 ms [2020-11-26 15:03:00 main:581] : INFO : Epoch 180 | loss: 0.049877 | val_loss: 0.0499531 | Time: 3366.98 ms [2020-11-26 15:03:03 main:581] : INFO : Epoch 181 | loss: 0.0496738 | val_loss: 0.049975 | Time: 2996.7 ms [2020-11-26 15:03:06 main:581] : INFO : Epoch 182 | loss: 0.0498078 | val_loss: 0.049989 | Time: 3018.96 ms [2020-11-26 15:03:09 main:581] : INFO : Epoch 183 | loss: 0.049689 | val_loss: 0.0498606 | Time: 2951.89 ms [2020-11-26 15:03:12 main:581] : INFO : Epoch 184 | loss: 0.0495257 | val_loss: 0.0497614 | Time: 3074.07 ms [2020-11-26 15:03:15 main:581] : INFO : Epoch 185 | loss: 0.0495034 | val_loss: 0.0497339 | Time: 3117.7 ms [2020-11-26 15:03:18 main:581] : INFO : Epoch 186 | loss: 0.0493501 | val_loss: 0.0495398 | Time: 2997.82 ms [2020-11-26 15:03:21 main:581] : INFO : Epoch 187 | loss: 0.0511043 | val_loss: 0.0519465 | Time: 3181.64 ms [2020-11-26 15:03:24 main:581] : INFO : Epoch 188 | loss: 0.0519087 | val_loss: 0.0524939 | Time: 3264.44 ms [2020-11-26 15:03:27 main:581] : INFO : Epoch 189 | loss: 0.0522026 | val_loss: 0.0523595 | Time: 3041.73 ms [2020-11-26 15:03:30 main:581] : INFO : Epoch 190 | loss: 0.0521173 | val_loss: 0.0523089 | Time: 3013.62 ms [2020-11-26 15:03:33 main:581] : INFO : Epoch 191 | loss: 0.0520776 | val_loss: 0.0522799 | Time: 2963.1 ms [2020-11-26 15:03:36 main:581] : INFO : Epoch 192 | loss: 0.0520334 | val_loss: 0.0522289 | Time: 3071.13 ms [2020-11-26 15:03:36 main:604] : INFO : Saving trained model to model-final.pt, val_loss 0.0522289 [2020-11-26 15:03:36 main:610] : INFO : Saving end state to config to file [2020-11-26 15:03:36 main:615] : INFO : Success, exiting.. 15:03:36 (15145): 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)