Task 3076027
| Name | rand_automata_0082-1606118020-23562-96_0 |
| Workunit | 1404114 |
| Created | 26 Nov 2020, 23:11:23 UTC |
| Sent | 26 Nov 2020, 23:21:12 UTC |
| Report deadline | 3 Dec 2020, 23:21:12 UTC |
| Received | 26 Nov 2020, 23:31:26 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 | 2.19 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 18:21:29 main:442] : INFO : Set logging level to 1 [2020-11-26 18:21:29 main:448] : INFO : Running in BOINC Client mode [2020-11-26 18:21:29 main:451] : INFO : Resolving all filenames [2020-11-26 18:21:29 main:459] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-train-val-dataset.hdf5 (exists = 1) [2020-11-26 18:21:29 main:459] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-1606118020-23562-96_0_r419934408_1 (exists = 0) [2020-11-26 18:21:29 main:459] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-1606118020-23562-96_0_r419934408_0 (exists = 0) [2020-11-26 18:21:29 main:459] : INFO : Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-1606118020-23562-96 (exists = 1) [2020-11-26 18:21:29 main:459] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-26 18:21:29 main:479] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-train-val-dataset.hdf5 [2020-11-26 18:21:29 main:481] : INFO : Configuration: [2020-11-26 18:21:29 main:482] : INFO : Model type: LSTM [2020-11-26 18:21:29 main:483] : INFO : Validation Loss Threshold: 0.0001 [2020-11-26 18:21:29 main:484] : INFO : Max Epochs: 192 [2020-11-26 18:21:29 main:485] : INFO : Batch Size: 32 [2020-11-26 18:21:29 main:486] : INFO : Learning Rate: 0.001 [2020-11-26 18:21:29 main:487] : INFO : Patience: 10 [2020-11-26 18:21:29 main:488] : INFO : Hidden Width: 64 [2020-11-26 18:21:29 main:489] : INFO : # Recurrent Layers: 4 [2020-11-26 18:21:29 main:490] : INFO : # Backend Layers: 2 [2020-11-26 18:21:29 main:491] : INFO : # Threads: 1 [2020-11-26 18:21:29 main:493] : INFO : Preparing Dataset [2020-11-26 18:21:29 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 18:21:30 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 18:21:32 load:106] : INFO : Successfully loaded dataset of 4096 examples into memory. [2020-11-26 18:21:32 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 18:21:32 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 18:21:32 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-26 18:21:32 main:501] : INFO : Creating Model [2020-11-26 18:21:32 main:514] : INFO : Preparing config file [2020-11-26 18:21:32 main:526] : INFO : Creating new config file [2020-11-26 18:21:32 main:545] : INFO : This is a continuation WU, loading previous network [2020-11-26 18:21:32 main:566] : INFO : Loading DataLoader into Memory [2020-11-26 18:21:32 main:569] : INFO : Starting Training [2020-11-26 18:21:36 main:581] : INFO : Epoch 1 | loss: 0.0630066 | val_loss: 0.0630206 | Time: 3770 ms [2020-11-26 18:21:39 main:581] : INFO : Epoch 2 | loss: 0.0629825 | val_loss: 0.0629904 | Time: 3029.3 ms [2020-11-26 18:21:42 main:581] : INFO : Epoch 3 | loss: 0.0629768 | val_loss: 0.0630141 | Time: 2991.65 ms [2020-11-26 18:21:45 main:581] : INFO : Epoch 4 | loss: 0.0630169 | val_loss: 0.0630398 | Time: 3019.19 ms [2020-11-26 18:21:48 main:581] : INFO : Epoch 5 | loss: 0.0630378 | val_loss: 0.0630078 | Time: 3074.3 ms [2020-11-26 18:21:51 main:581] : INFO : Epoch 6 | loss: 0.0629999 | val_loss: 0.0630203 | Time: 3067.94 ms [2020-11-26 18:21:54 main:581] : INFO : Epoch 7 | loss: 0.0629998 | val_loss: 0.0630177 | Time: 3135.68 ms [2020-11-26 18:21:57 main:581] : INFO : Epoch 8 | loss: 0.0630014 | val_loss: 0.0630041 | Time: 3144.07 ms [2020-11-26 18:22:01 main:581] : INFO : Epoch 9 | loss: 0.0629992 | val_loss: 0.0630045 | Time: 3290.3 ms [2020-11-26 18:22:04 main:581] : INFO : Epoch 10 | loss: 0.0629952 | val_loss: 0.0630038 | Time: 3036.63 ms [2020-11-26 18:22:07 main:581] : INFO : Epoch 11 | loss: 0.0629887 | val_loss: 0.062985 | Time: 3103.76 ms [2020-11-26 18:22:10 main:581] : INFO : Epoch 12 | loss: 0.0629762 | val_loss: 0.0629764 | Time: 3166.6 ms [2020-11-26 18:22:13 main:581] : INFO : Epoch 13 | loss: 0.0629765 | val_loss: 0.0630124 | Time: 3010.61 ms [2020-11-26 18:22:16 main:581] : INFO : Epoch 14 | loss: 0.0629859 | val_loss: 0.0630159 | Time: 2949.3 ms [2020-11-26 18:22:19 main:581] : INFO : Epoch 15 | loss: 0.0629956 | val_loss: 0.0630025 | Time: 2943.18 ms [2020-11-26 18:22:22 main:581] : INFO : Epoch 16 | loss: 0.0629974 | val_loss: 0.0630367 | Time: 3046.22 ms [2020-11-26 18:22:25 main:581] : INFO : Epoch 17 | loss: 0.0630133 | val_loss: 0.0630455 | Time: 3050.08 ms [2020-11-26 18:22:28 main:581] : INFO : Epoch 18 | loss: 0.0629851 | val_loss: 0.0630084 | Time: 3039.29 ms [2020-11-26 18:22:31 main:581] : INFO : Epoch 19 | loss: 0.0629769 | val_loss: 0.0629808 | Time: 2973.13 ms [2020-11-26 18:22:34 main:581] : INFO : Epoch 20 | loss: 0.0629729 | val_loss: 0.0629925 | Time: 2976.26 ms [2020-11-26 18:22:37 main:581] : INFO : Epoch 21 | loss: 0.0629671 | val_loss: 0.0629668 | Time: 3093.6 ms [2020-11-26 18:22:40 main:581] : INFO : Epoch 22 | loss: 0.0629626 | val_loss: 0.0629752 | Time: 3103.64 ms [2020-11-26 18:22:43 main:581] : INFO : Epoch 23 | loss: 0.0629677 | val_loss: 0.0629863 | Time: 3149.49 ms [2020-11-26 18:22:47 main:581] : INFO : Epoch 24 | loss: 0.0629658 | val_loss: 0.0629894 | Time: 3280.74 ms [2020-11-26 18:22:50 main:581] : INFO : Epoch 25 | loss: 0.0629523 | val_loss: 0.0629687 | Time: 3024.6 ms [2020-11-26 18:22:53 main:581] : INFO : Epoch 26 | loss: 0.0629495 | val_loss: 0.062992 | Time: 2973.86 ms [2020-11-26 18:22:56 main:581] : INFO : Epoch 27 | loss: 0.0629445 | val_loss: 0.0629648 | Time: 3148.89 ms [2020-11-26 18:22:59 main:581] : INFO : Epoch 28 | loss: 0.0629417 | val_loss: 0.0629647 | Time: 3058.61 ms [2020-11-26 18:23:02 main:581] : INFO : Epoch 29 | loss: 0.0629443 | val_loss: 0.0629611 | Time: 3165.72 ms [2020-11-26 18:23:05 main:581] : INFO : Epoch 30 | loss: 0.0629424 | val_loss: 0.0629429 | Time: 3009.42 ms [2020-11-26 18:23:08 main:581] : INFO : Epoch 31 | loss: 0.0629431 | val_loss: 0.0629514 | Time: 3035.81 ms [2020-11-26 18:23:11 main:581] : INFO : Epoch 32 | loss: 0.062948 | val_loss: 0.062976 | Time: 2962.74 ms [2020-11-26 18:23:14 main:581] : INFO : Epoch 33 | loss: 0.0629541 | val_loss: 0.0629808 | Time: 3005.12 ms [2020-11-26 18:23:17 main:581] : INFO : Epoch 34 | loss: 0.0629975 | val_loss: 0.0630202 | Time: 3030.61 ms [2020-11-26 18:23:20 main:581] : INFO : Epoch 35 | loss: 0.0629941 | val_loss: 0.0630057 | Time: 3023.34 ms [2020-11-26 18:23:23 main:581] : INFO : Epoch 36 | loss: 0.0629993 | val_loss: 0.0630168 | Time: 3014.88 ms [2020-11-26 18:23:26 main:581] : INFO : Epoch 37 | loss: 0.0629931 | val_loss: 0.0630093 | Time: 2990.86 ms [2020-11-26 18:23:29 main:581] : INFO : Epoch 38 | loss: 0.0629884 | val_loss: 0.0630033 | Time: 3152.24 ms [2020-11-26 18:23:32 main:581] : INFO : Epoch 39 | loss: 0.0629933 | val_loss: 0.0630272 | Time: 3043.09 ms [2020-11-26 18:23:35 main:581] : INFO : Epoch 40 | loss: 0.0630081 | val_loss: 0.0630369 | Time: 2970.54 ms [2020-11-26 18:23:38 main:581] : INFO : Epoch 41 | loss: 0.0630141 | val_loss: 0.0630255 | Time: 2958.74 ms [2020-11-26 18:23:41 main:581] : INFO : Epoch 42 | loss: 0.0630121 | val_loss: 0.0630358 | Time: 3131.42 ms [2020-11-26 18:23:44 main:581] : INFO : Epoch 43 | loss: 0.0630116 | val_loss: 0.0630194 | Time: 3021.87 ms [2020-11-26 18:23:47 main:581] : INFO : Epoch 44 | loss: 0.06301 | val_loss: 0.0630258 | Time: 2975.04 ms [2020-11-26 18:23:50 main:581] : INFO : Epoch 45 | loss: 0.0630083 | val_loss: 0.0630087 | Time: 3053.25 ms [2020-11-26 18:23:53 main:581] : INFO : Epoch 46 | loss: 0.063003 | val_loss: 0.063006 | Time: 3001.29 ms [2020-11-26 18:23:56 main:581] : INFO : Epoch 47 | loss: 0.0630057 | val_loss: 0.063037 | Time: 2994.47 ms [2020-11-26 18:24:00 main:581] : INFO : Epoch 48 | loss: 0.063009 | val_loss: 0.063035 | Time: 3098.73 ms [2020-11-26 18:24:02 main:581] : INFO : Epoch 49 | loss: 0.0630021 | val_loss: 0.0630143 | Time: 2970.59 ms [2020-11-26 18:24:05 main:581] : INFO : Epoch 50 | loss: 0.0630047 | val_loss: 0.0630173 | Time: 2962.04 ms [2020-11-26 18:24:08 main:581] : INFO : Epoch 51 | loss: 0.0630024 | val_loss: 0.0630338 | Time: 2985.26 ms [2020-11-26 18:24:11 main:581] : INFO : Epoch 52 | loss: 0.0630091 | val_loss: 0.0630011 | Time: 2978.25 ms [2020-11-26 18:24:14 main:581] : INFO : Epoch 53 | loss: 0.0630023 | val_loss: 0.0629925 | Time: 2989.61 ms [2020-11-26 18:24:17 main:581] : INFO : Epoch 54 | loss: 0.0629987 | val_loss: 0.0630014 | Time: 3047.95 ms [2020-11-26 18:24:21 main:581] : INFO : Epoch 55 | loss: 0.0629988 | val_loss: 0.0630017 | Time: 3092.49 ms [2020-11-26 18:24:24 main:581] : INFO : Epoch 56 | loss: 0.0629986 | val_loss: 0.0630014 | Time: 3006.55 ms [2020-11-26 18:24:27 main:581] : INFO : Epoch 57 | loss: 0.0630173 | val_loss: 0.0630421 | Time: 3022.02 ms [2020-11-26 18:24:30 main:581] : INFO : Epoch 58 | loss: 0.0630246 | val_loss: 0.063043 | Time: 3125.79 ms [2020-11-26 18:24:33 main:581] : INFO : Epoch 59 | loss: 0.063018 | val_loss: 0.0630404 | Time: 2974.66 ms [2020-11-26 18:24:36 main:581] : INFO : Epoch 60 | loss: 0.0630002 | val_loss: 0.0630262 | Time: 2975.11 ms [2020-11-26 18:24:39 main:581] : INFO : Epoch 61 | loss: 0.0629965 | val_loss: 0.063021 | Time: 2987.13 ms [2020-11-26 18:24:42 main:581] : INFO : Epoch 62 | loss: 0.0629998 | val_loss: 0.0630118 | Time: 2979.64 ms [2020-11-26 18:24:45 main:581] : INFO : Epoch 63 | loss: 0.0629993 | val_loss: 0.0630053 | Time: 2967.22 ms [2020-11-26 18:24:48 main:581] : INFO : Epoch 64 | loss: 0.0630091 | val_loss: 0.0630167 | Time: 2988.07 ms [2020-11-26 18:24:51 main:581] : INFO : Epoch 65 | loss: 0.0630091 | val_loss: 0.0630095 | Time: 3028.22 ms [2020-11-26 18:24:54 main:581] : INFO : Epoch 66 | loss: 0.0630069 | val_loss: 0.0630083 | Time: 3040.07 ms [2020-11-26 18:24:57 main:581] : INFO : Epoch 67 | loss: 0.0630103 | val_loss: 0.0630286 | Time: 3018.7 ms [2020-11-26 18:25:00 main:581] : INFO : Epoch 68 | loss: 0.0630062 | val_loss: 0.0630124 | Time: 2966.61 ms [2020-11-26 18:25:03 main:581] : INFO : Epoch 69 | loss: 0.0630072 | val_loss: 0.0630002 | Time: 3000.67 ms [2020-11-26 18:25:06 main:581] : INFO : Epoch 70 | loss: 0.0630096 | val_loss: 0.0630156 | Time: 2959.19 ms [2020-11-26 18:25:09 main:581] : INFO : Epoch 71 | loss: 0.0630113 | val_loss: 0.0630267 | Time: 3029.91 ms [2020-11-26 18:25:12 main:581] : INFO : Epoch 72 | loss: 0.0630278 | val_loss: 0.0630447 | Time: 3006.61 ms [2020-11-26 18:25:15 main:581] : INFO : Epoch 73 | loss: 0.0630278 | val_loss: 0.0630288 | Time: 3006.65 ms [2020-11-26 18:25:18 main:581] : INFO : Epoch 74 | loss: 0.063029 | val_loss: 0.0630273 | Time: 3098.56 ms [2020-11-26 18:25:21 main:581] : INFO : Epoch 75 | loss: 0.0630271 | val_loss: 0.0630345 | Time: 3107.14 ms [2020-11-26 18:25:24 main:581] : INFO : Epoch 76 | loss: 0.06303 | val_loss: 0.0630398 | Time: 3058.08 ms [2020-11-26 18:25:27 main:581] : INFO : Epoch 77 | loss: 0.0630265 | val_loss: 0.0630334 | Time: 3011.57 ms [2020-11-26 18:25:30 main:581] : INFO : Epoch 78 | loss: 0.0630317 | val_loss: 0.0630491 | Time: 3051.3 ms [2020-11-26 18:25:33 main:581] : INFO : Epoch 79 | loss: 0.0630481 | val_loss: 0.0630914 | Time: 3125.6 ms [2020-11-26 18:25:36 main:581] : INFO : Epoch 80 | loss: 0.0630761 | val_loss: 0.063066 | Time: 3074.02 ms [2020-11-26 18:25:39 main:581] : INFO : Epoch 81 | loss: 0.0630647 | val_loss: 0.0630609 | Time: 3086.55 ms [2020-11-26 18:25:42 main:581] : INFO : Epoch 82 | loss: 0.0630616 | val_loss: 0.0630664 | Time: 2945.34 ms [2020-11-26 18:25:45 main:581] : INFO : Epoch 83 | loss: 0.0630547 | val_loss: 0.0630559 | Time: 2985.03 ms [2020-11-26 18:25:48 main:581] : INFO : Epoch 84 | loss: 0.0630571 | val_loss: 0.0630514 | Time: 3041.53 ms [2020-11-26 18:25:51 main:581] : INFO : Epoch 85 | loss: 0.0630297 | val_loss: 0.0630464 | Time: 3049.79 ms [2020-11-26 18:25:54 main:581] : INFO : Epoch 86 | loss: 0.0630293 | val_loss: 0.0630377 | Time: 2975.77 ms [2020-11-26 18:25:57 main:581] : INFO : Epoch 87 | loss: 0.0630339 | val_loss: 0.0630621 | Time: 3057.42 ms [2020-11-26 18:26:00 main:581] : INFO : Epoch 88 | loss: 0.0630349 | val_loss: 0.0630557 | Time: 2999.39 ms [2020-11-26 18:26:03 main:581] : INFO : Epoch 89 | loss: 0.0630294 | val_loss: 0.0630595 | Time: 3102.27 ms [2020-11-26 18:26:06 main:581] : INFO : Epoch 90 | loss: 0.0630197 | val_loss: 0.0630411 | Time: 3066.52 ms [2020-11-26 18:26:09 main:581] : INFO : Epoch 91 | loss: 0.0630292 | val_loss: 0.0630597 | Time: 2974.49 ms [2020-11-26 18:26:12 main:581] : INFO : Epoch 92 | loss: 0.0630315 | val_loss: 0.063055 | Time: 3009.32 ms [2020-11-26 18:26:16 main:581] : INFO : Epoch 93 | loss: 0.0630328 | val_loss: 0.0630548 | Time: 3126.87 ms [2020-11-26 18:26:19 main:581] : INFO : Epoch 94 | loss: 0.0630321 | val_loss: 0.0630393 | Time: 3190.37 ms [2020-11-26 18:26:22 main:581] : INFO : Epoch 95 | loss: 0.0630373 | val_loss: 0.0630457 | Time: 3048.84 ms [2020-11-26 18:26:25 main:581] : INFO : Epoch 96 | loss: 0.0630371 | val_loss: 0.063056 | Time: 3015.92 ms [2020-11-26 18:26:28 main:581] : INFO : Epoch 97 | loss: 0.0630289 | val_loss: 0.063044 | Time: 2964.66 ms [2020-11-26 18:26:31 main:581] : INFO : Epoch 98 | loss: 0.0630288 | val_loss: 0.0630672 | Time: 2985.04 ms [2020-11-26 18:26:34 main:581] : INFO : Epoch 99 | loss: 0.063031 | val_loss: 0.0630685 | Time: 2995.58 ms [2020-11-26 18:26:37 main:581] : INFO : Epoch 100 | loss: 0.0630369 | val_loss: 0.0630457 | Time: 2947.64 ms [2020-11-26 18:26:40 main:581] : INFO : Epoch 101 | loss: 0.0630456 | val_loss: 0.0630869 | Time: 3045.2 ms [2020-11-26 18:26:43 main:581] : INFO : Epoch 102 | loss: 0.0630515 | val_loss: 0.0630694 | Time: 3027.51 ms [2020-11-26 18:26:46 main:581] : INFO : Epoch 103 | loss: 0.063043 | val_loss: 0.063039 | Time: 3184.89 ms [2020-11-26 18:26:49 main:581] : INFO : Epoch 104 | loss: 0.06304 | val_loss: 0.0630439 | Time: 2988.13 ms [2020-11-26 18:26:52 main:581] : INFO : Epoch 105 | loss: 0.0630401 | val_loss: 0.0630456 | Time: 3147.95 ms [2020-11-26 18:26:55 main:581] : INFO : Epoch 106 | loss: 0.063037 | val_loss: 0.0630429 | Time: 2961.66 ms [2020-11-26 18:26:58 main:581] : INFO : Epoch 107 | loss: 0.0630385 | val_loss: 0.0630499 | Time: 3013.08 ms [2020-11-26 18:27:01 main:581] : INFO : Epoch 108 | loss: 0.0630356 | val_loss: 0.0630516 | Time: 3089.98 ms [2020-11-26 18:27:04 main:581] : INFO : Epoch 109 | loss: 0.0630359 | val_loss: 0.0630512 | Time: 3091.82 ms [2020-11-26 18:27:07 main:581] : INFO : Epoch 110 | loss: 0.0630332 | val_loss: 0.0630462 | Time: 3064.83 ms [2020-11-26 18:27:10 main:581] : INFO : Epoch 111 | loss: 0.0630358 | val_loss: 0.063044 | Time: 3020.47 ms [2020-11-26 18:27:13 main:581] : INFO : Epoch 112 | loss: 0.0630369 | val_loss: 0.063041 | Time: 2969.82 ms [2020-11-26 18:27:16 main:581] : INFO : Epoch 113 | loss: 0.0630372 | val_loss: 0.0630463 | Time: 2998.3 ms [2020-11-26 18:27:19 main:581] : INFO : Epoch 114 | loss: 0.0630358 | val_loss: 0.0630457 | Time: 3121.66 ms [2020-11-26 18:27:22 main:581] : INFO : Epoch 115 | loss: 0.0630337 | val_loss: 0.0630498 | Time: 2987.86 ms [2020-11-26 18:27:25 main:581] : INFO : Epoch 116 | loss: 0.063033 | val_loss: 0.0630469 | Time: 3059.98 ms [2020-11-26 18:27:28 main:581] : INFO : Epoch 117 | loss: 0.0630313 | val_loss: 0.0630493 | Time: 2988.54 ms [2020-11-26 18:27:32 main:581] : INFO : Epoch 118 | loss: 0.0630331 | val_loss: 0.0630399 | Time: 3047.55 ms [2020-11-26 18:27:35 main:581] : INFO : Epoch 119 | loss: 0.0630305 | val_loss: 0.0630553 | Time: 3100.62 ms [2020-11-26 18:27:38 main:581] : INFO : Epoch 120 | loss: 0.063058 | val_loss: 0.063054 | Time: 3116.05 ms [2020-11-26 18:27:41 main:581] : INFO : Epoch 121 | loss: 0.0630576 | val_loss: 0.0630695 | Time: 3029.18 ms [2020-11-26 18:27:44 main:581] : INFO : Epoch 122 | loss: 0.0630623 | val_loss: 0.0630793 | Time: 3000.09 ms [2020-11-26 18:27:47 main:581] : INFO : Epoch 123 | loss: 0.0630854 | val_loss: 0.0630792 | Time: 3079.23 ms [2020-11-26 18:27:50 main:581] : INFO : Epoch 124 | loss: 0.0630812 | val_loss: 0.063086 | Time: 2986.03 ms [2020-11-26 18:27:53 main:581] : INFO : Epoch 125 | loss: 0.0630833 | val_loss: 0.0630794 | Time: 2984.12 ms [2020-11-26 18:27:56 main:581] : INFO : Epoch 126 | loss: 0.0630864 | val_loss: 0.0630976 | Time: 3068.69 ms [2020-11-26 18:27:59 main:581] : INFO : Epoch 127 | loss: 0.0631027 | val_loss: 0.0631071 | Time: 2968.23 ms [2020-11-26 18:28:02 main:581] : INFO : Epoch 128 | loss: 0.0630991 | val_loss: 0.0630935 | Time: 3061.21 ms [2020-11-26 18:28:05 main:581] : INFO : Epoch 129 | loss: 0.0631024 | val_loss: 0.0631014 | Time: 3026.76 ms [2020-11-26 18:28:08 main:581] : INFO : Epoch 130 | loss: 0.0631023 | val_loss: 0.0631115 | Time: 2969.91 ms [2020-11-26 18:28:11 main:581] : INFO : Epoch 131 | loss: 0.0631095 | val_loss: 0.0631374 | Time: 3069.49 ms [2020-11-26 18:28:14 main:581] : INFO : Epoch 132 | loss: 0.063126 | val_loss: 0.063124 | Time: 3008.33 ms [2020-11-26 18:28:17 main:581] : INFO : Epoch 133 | loss: 0.0631261 | val_loss: 0.0631242 | Time: 3173.7 ms [2020-11-26 18:28:20 main:581] : INFO : Epoch 134 | loss: 0.0631277 | val_loss: 0.0631469 | Time: 2978.72 ms [2020-11-26 18:28:23 main:581] : INFO : Epoch 135 | loss: 0.0631413 | val_loss: 0.0631478 | Time: 3044.12 ms [2020-11-26 18:28:26 main:581] : INFO : Epoch 136 | loss: 0.0631509 | val_loss: 0.0631414 | Time: 3078.05 ms [2020-11-26 18:28:29 main:581] : INFO : Epoch 137 | loss: 0.0631461 | val_loss: 0.0631319 | Time: 3014.92 ms [2020-11-26 18:28:32 main:581] : INFO : Epoch 138 | loss: 0.0631506 | val_loss: 0.0631436 | Time: 2989.87 ms [2020-11-26 18:28:35 main:581] : INFO : Epoch 139 | loss: 0.0631528 | val_loss: 0.0631471 | Time: 3007.33 ms [2020-11-26 18:28:38 main:581] : INFO : Epoch 140 | loss: 0.063153 | val_loss: 0.0631474 | Time: 2989.3 ms [2020-11-26 18:28:41 main:581] : INFO : Epoch 141 | loss: 0.0631515 | val_loss: 0.0631473 | Time: 2981.77 ms [2020-11-26 18:28:44 main:581] : INFO : Epoch 142 | loss: 0.0631574 | val_loss: 0.0631459 | Time: 2991.1 ms [2020-11-26 18:28:47 main:581] : INFO : Epoch 143 | loss: 0.0631566 | val_loss: 0.063146 | Time: 3051.21 ms [2020-11-26 18:28:50 main:581] : INFO : Epoch 144 | loss: 0.0631601 | val_loss: 0.0631687 | Time: 2998.94 ms [2020-11-26 18:28:53 main:581] : INFO : Epoch 145 | loss: 0.0631738 | val_loss: 0.0631716 | Time: 3069.57 ms [2020-11-26 18:28:56 main:581] : INFO : Epoch 146 | loss: 0.0631752 | val_loss: 0.0631868 | Time: 2948.78 ms [2020-11-26 18:28:59 main:581] : INFO : Epoch 147 | loss: 0.0631793 | val_loss: 0.0631951 | Time: 3089.41 ms [2020-11-26 18:29:03 main:581] : INFO : Epoch 148 | loss: 0.0631845 | val_loss: 0.0631849 | Time: 3119.08 ms [2020-11-26 18:29:06 main:581] : INFO : Epoch 149 | loss: 0.0631745 | val_loss: 0.0631264 | Time: 3095.48 ms [2020-11-26 18:29:09 main:581] : INFO : Epoch 150 | loss: 0.0631454 | val_loss: 0.0631196 | Time: 3012.31 ms [2020-11-26 18:29:12 main:581] : INFO : Epoch 151 | loss: 0.0631417 | val_loss: 0.0631343 | Time: 2995.74 ms [2020-11-26 18:29:15 main:581] : INFO : Epoch 152 | loss: 0.0631408 | val_loss: 0.0631226 | Time: 2991.48 ms [2020-11-26 18:29:18 main:581] : INFO : Epoch 153 | loss: 0.0631442 | val_loss: 0.0631389 | Time: 3024.17 ms [2020-11-26 18:29:21 main:581] : INFO : Epoch 154 | loss: 0.0631369 | val_loss: 0.0631334 | Time: 2980.73 ms [2020-11-26 18:29:24 main:581] : INFO : Epoch 155 | loss: 0.063141 | val_loss: 0.0631292 | Time: 3052.37 ms [2020-11-26 18:29:27 main:581] : INFO : Epoch 156 | loss: 0.063145 | val_loss: 0.0631359 | Time: 3024.75 ms [2020-11-26 18:29:30 main:581] : INFO : Epoch 157 | loss: 0.0631408 | val_loss: 0.0631473 | Time: 2969.52 ms [2020-11-26 18:29:33 main:581] : INFO : Epoch 158 | loss: 0.0631466 | val_loss: 0.063136 | Time: 3043.26 ms [2020-11-26 18:29:36 main:581] : INFO : Epoch 159 | loss: 0.0631441 | val_loss: 0.063142 | Time: 3256.78 ms [2020-11-26 18:29:39 main:581] : INFO : Epoch 160 | loss: 0.0631425 | val_loss: 0.0631383 | Time: 3086.61 ms [2020-11-26 18:29:42 main:581] : INFO : Epoch 161 | loss: 0.0631444 | val_loss: 0.0631552 | Time: 3039.55 ms [2020-11-26 18:29:45 main:581] : INFO : Epoch 162 | loss: 0.0631435 | val_loss: 0.0631432 | Time: 3001.34 ms [2020-11-26 18:29:48 main:581] : INFO : Epoch 163 | loss: 0.0631402 | val_loss: 0.0631319 | Time: 3060.74 ms [2020-11-26 18:29:51 main:581] : INFO : Epoch 164 | loss: 0.0631457 | val_loss: 0.0631267 | Time: 3075.07 ms [2020-11-26 18:29:54 main:581] : INFO : Epoch 165 | loss: 0.063141 | val_loss: 0.0631458 | Time: 2976.86 ms [2020-11-26 18:29:57 main:581] : INFO : Epoch 166 | loss: 0.0631449 | val_loss: 0.0631387 | Time: 3149.43 ms [2020-11-26 18:30:00 main:581] : INFO : Epoch 167 | loss: 0.0631441 | val_loss: 0.0631623 | Time: 2947.31 ms [2020-11-26 18:30:03 main:581] : INFO : Epoch 168 | loss: 0.0631421 | val_loss: 0.0631391 | Time: 2976.5 ms [2020-11-26 18:30:06 main:581] : INFO : Epoch 169 | loss: 0.0631432 | val_loss: 0.0631437 | Time: 3038.05 ms [2020-11-26 18:30:09 main:581] : INFO : Epoch 170 | loss: 0.0631435 | val_loss: 0.063148 | Time: 2943.22 ms [2020-11-26 18:30:12 main:581] : INFO : Epoch 171 | loss: 0.0631495 | val_loss: 0.0631546 | Time: 3059.3 ms [2020-11-26 18:30:16 main:581] : INFO : Epoch 172 | loss: 0.0631426 | val_loss: 0.0631548 | Time: 3160.94 ms [2020-11-26 18:30:19 main:581] : INFO : Epoch 173 | loss: 0.0631459 | val_loss: 0.0631665 | Time: 3049.94 ms [2020-11-26 18:30:22 main:581] : INFO : Epoch 174 | loss: 0.0631556 | val_loss: 0.0631415 | Time: 3133.71 ms [2020-11-26 18:30:25 main:581] : INFO : Epoch 175 | loss: 0.063148 | val_loss: 0.0631509 | Time: 3034.08 ms [2020-11-26 18:30:28 main:581] : INFO : Epoch 176 | loss: 0.0631374 | val_loss: 0.0631436 | Time: 2992.64 ms [2020-11-26 18:30:31 main:581] : INFO : Epoch 177 | loss: 0.0631325 | val_loss: 0.0631394 | Time: 3151.32 ms [2020-11-26 18:30:34 main:581] : INFO : Epoch 178 | loss: 0.0631353 | val_loss: 0.0631568 | Time: 3010.61 ms [2020-11-26 18:30:37 main:581] : INFO : Epoch 179 | loss: 0.0631376 | val_loss: 0.063141 | Time: 3001.7 ms [2020-11-26 18:30:40 main:581] : INFO : Epoch 180 | loss: 0.06313 | val_loss: 0.0631359 | Time: 3113.27 ms [2020-11-26 18:30:43 main:581] : INFO : Epoch 181 | loss: 0.0631293 | val_loss: 0.0631451 | Time: 3036.22 ms [2020-11-26 18:30:46 main:581] : INFO : Epoch 182 | loss: 0.0631368 | val_loss: 0.0631324 | Time: 3136.99 ms [2020-11-26 18:30:49 main:581] : INFO : Epoch 183 | loss: 0.0631379 | val_loss: 0.063137 | Time: 3000.08 ms [2020-11-26 18:30:52 main:581] : INFO : Epoch 184 | loss: 0.0631327 | val_loss: 0.0631326 | Time: 2959.08 ms [2020-11-26 18:30:55 main:581] : INFO : Epoch 185 | loss: 0.0631369 | val_loss: 0.0631438 | Time: 3047.48 ms [2020-11-26 18:30:58 main:581] : INFO : Epoch 186 | loss: 0.0631338 | val_loss: 0.0631397 | Time: 3017.51 ms [2020-11-26 18:31:01 main:581] : INFO : Epoch 187 | loss: 0.0631434 | val_loss: 0.0631688 | Time: 3084.71 ms [2020-11-26 18:31:04 main:581] : INFO : Epoch 188 | loss: 0.0631495 | val_loss: 0.0631705 | Time: 3083.57 ms [2020-11-26 18:31:07 main:581] : INFO : Epoch 189 | loss: 0.0631484 | val_loss: 0.0631429 | Time: 3021.91 ms [2020-11-26 18:31:11 main:581] : INFO : Epoch 190 | loss: 0.0631303 | val_loss: 0.0631348 | Time: 3128.2 ms [2020-11-26 18:31:14 main:581] : INFO : Epoch 191 | loss: 0.0631287 | val_loss: 0.0631245 | Time: 3146.9 ms [2020-11-26 18:31:17 main:581] : INFO : Epoch 192 | loss: 0.0631216 | val_loss: 0.0631317 | Time: 3095.34 ms [2020-11-26 18:31:17 main:604] : INFO : Saving trained model to model-final.pt, val_loss 0.0631317 [2020-11-26 18:31:17 main:610] : INFO : Saving end state to config to file [2020-11-26 18:31:17 main:615] : INFO : Success, exiting.. 18:31:17 (15609): 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)