Task 3075734
| Name | rand_automata_0082-1606118020-23562-94_0 |
| Workunit | 1403868 |
| Created | 26 Nov 2020, 22:29:49 UTC |
| Sent | 26 Nov 2020, 22:39:31 UTC |
| Report deadline | 3 Dec 2020, 22:39:31 UTC |
| Received | 26 Nov 2020, 22:49:51 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 4754 |
| Run time | 9 min 53 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 17:39:50 main:442] : INFO : Set logging level to 1 [2020-11-26 17:39:50 main:448] : INFO : Running in BOINC Client mode [2020-11-26 17:39:50 main:451] : INFO : Resolving all filenames [2020-11-26 17:39:50 main:459] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-train-val-dataset.hdf5 (exists = 1) [2020-11-26 17:39:50 main:459] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-1606118020-23562-94_0_r651215456_1 (exists = 0) [2020-11-26 17:39:50 main:459] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-1606118020-23562-94_0_r651215456_0 (exists = 0) [2020-11-26 17:39:50 main:459] : INFO : Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-1606118020-23562-94 (exists = 1) [2020-11-26 17:39:50 main:459] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-26 17:39:50 main:479] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-train-val-dataset.hdf5 [2020-11-26 17:39:50 main:481] : INFO : Configuration: [2020-11-26 17:39:50 main:482] : INFO : Model type: LSTM [2020-11-26 17:39:50 main:483] : INFO : Validation Loss Threshold: 0.0001 [2020-11-26 17:39:50 main:484] : INFO : Max Epochs: 192 [2020-11-26 17:39:50 main:485] : INFO : Batch Size: 32 [2020-11-26 17:39:50 main:486] : INFO : Learning Rate: 0.001 [2020-11-26 17:39:50 main:487] : INFO : Patience: 10 [2020-11-26 17:39:50 main:488] : INFO : Hidden Width: 64 [2020-11-26 17:39:50 main:489] : INFO : # Recurrent Layers: 4 [2020-11-26 17:39:50 main:490] : INFO : # Backend Layers: 2 [2020-11-26 17:39:50 main:491] : INFO : # Threads: 1 [2020-11-26 17:39:50 main:493] : INFO : Preparing Dataset [2020-11-26 17:39:50 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 17:39:50 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 17:39:52 load:106] : INFO : Successfully loaded dataset of 4096 examples into memory. [2020-11-26 17:39:52 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 17:39:52 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 17:39:52 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-26 17:39:52 main:501] : INFO : Creating Model [2020-11-26 17:39:52 main:514] : INFO : Preparing config file [2020-11-26 17:39:52 main:526] : INFO : Creating new config file [2020-11-26 17:39:52 main:545] : INFO : This is a continuation WU, loading previous network [2020-11-26 17:39:52 main:566] : INFO : Loading DataLoader into Memory [2020-11-26 17:39:52 main:569] : INFO : Starting Training [2020-11-26 17:39:56 main:581] : INFO : Epoch 1 | loss: 0.0620613 | val_loss: 0.0620636 | Time: 3612.42 ms [2020-11-26 17:39:59 main:581] : INFO : Epoch 2 | loss: 0.0620858 | val_loss: 0.0620818 | Time: 2957.68 ms [2020-11-26 17:40:02 main:581] : INFO : Epoch 3 | loss: 0.0620744 | val_loss: 0.0620918 | Time: 3103.02 ms [2020-11-26 17:40:05 main:581] : INFO : Epoch 4 | loss: 0.062092 | val_loss: 0.062097 | Time: 2965.1 ms [2020-11-26 17:40:08 main:581] : INFO : Epoch 5 | loss: 0.0620969 | val_loss: 0.0620987 | Time: 3018.54 ms [2020-11-26 17:40:11 main:581] : INFO : Epoch 6 | loss: 0.0621182 | val_loss: 0.0621147 | Time: 3014.26 ms [2020-11-26 17:40:14 main:581] : INFO : Epoch 7 | loss: 0.0621142 | val_loss: 0.0621108 | Time: 3089.02 ms [2020-11-26 17:40:17 main:581] : INFO : Epoch 8 | loss: 0.062113 | val_loss: 0.0621022 | Time: 2983.36 ms [2020-11-26 17:40:20 main:581] : INFO : Epoch 9 | loss: 0.0621102 | val_loss: 0.0620937 | Time: 3010.82 ms [2020-11-26 17:40:23 main:581] : INFO : Epoch 10 | loss: 0.0621059 | val_loss: 0.0620774 | Time: 2985.02 ms [2020-11-26 17:40:26 main:581] : INFO : Epoch 11 | loss: 0.0621053 | val_loss: 0.0620879 | Time: 3035.24 ms [2020-11-26 17:40:29 main:581] : INFO : Epoch 12 | loss: 0.0620928 | val_loss: 0.062077 | Time: 3047.83 ms [2020-11-26 17:40:32 main:581] : INFO : Epoch 13 | loss: 0.0620994 | val_loss: 0.0620662 | Time: 3062.21 ms [2020-11-26 17:40:35 main:581] : INFO : Epoch 14 | loss: 0.0620855 | val_loss: 0.062085 | Time: 3060.73 ms [2020-11-26 17:40:38 main:581] : INFO : Epoch 15 | loss: 0.0620872 | val_loss: 0.0620708 | Time: 3027.41 ms [2020-11-26 17:40:41 main:581] : INFO : Epoch 16 | loss: 0.0620828 | val_loss: 0.0620577 | Time: 3095.26 ms [2020-11-26 17:40:44 main:581] : INFO : Epoch 17 | loss: 0.0620802 | val_loss: 0.0620513 | Time: 3138.22 ms [2020-11-26 17:40:48 main:581] : INFO : Epoch 18 | loss: 0.0620763 | val_loss: 0.0620915 | Time: 3125.32 ms [2020-11-26 17:40:51 main:581] : INFO : Epoch 19 | loss: 0.0620914 | val_loss: 0.0620528 | Time: 3166.86 ms [2020-11-26 17:40:54 main:581] : INFO : Epoch 20 | loss: 0.0621142 | val_loss: 0.0621536 | Time: 2992.5 ms [2020-11-26 17:40:57 main:581] : INFO : Epoch 21 | loss: 0.0621359 | val_loss: 0.0621562 | Time: 2965.57 ms [2020-11-26 17:41:00 main:581] : INFO : Epoch 22 | loss: 0.0621463 | val_loss: 0.0621266 | Time: 2951.3 ms [2020-11-26 17:41:03 main:581] : INFO : Epoch 23 | loss: 0.0621338 | val_loss: 0.0621115 | Time: 3103.98 ms [2020-11-26 17:41:06 main:581] : INFO : Epoch 24 | loss: 0.0621301 | val_loss: 0.062104 | Time: 3116.44 ms [2020-11-26 17:41:09 main:581] : INFO : Epoch 25 | loss: 0.0621282 | val_loss: 0.062135 | Time: 3006.69 ms [2020-11-26 17:41:12 main:581] : INFO : Epoch 26 | loss: 0.0621625 | val_loss: 0.0621223 | Time: 2986.55 ms [2020-11-26 17:41:15 main:581] : INFO : Epoch 27 | loss: 0.0621685 | val_loss: 0.0621435 | Time: 3130.94 ms [2020-11-26 17:41:18 main:581] : INFO : Epoch 28 | loss: 0.0621685 | val_loss: 0.0621403 | Time: 3144.12 ms [2020-11-26 17:41:21 main:581] : INFO : Epoch 29 | loss: 0.0621742 | val_loss: 0.0621374 | Time: 3029.74 ms [2020-11-26 17:41:24 main:581] : INFO : Epoch 30 | loss: 0.062176 | val_loss: 0.0621651 | Time: 3137.47 ms [2020-11-26 17:41:27 main:581] : INFO : Epoch 31 | loss: 0.06217 | val_loss: 0.0621522 | Time: 3052.1 ms [2020-11-26 17:41:30 main:581] : INFO : Epoch 32 | loss: 0.0621738 | val_loss: 0.0621614 | Time: 3036.49 ms [2020-11-26 17:41:34 main:581] : INFO : Epoch 33 | loss: 0.0621777 | val_loss: 0.0621601 | Time: 3102.48 ms [2020-11-26 17:41:36 main:581] : INFO : Epoch 34 | loss: 0.0621733 | val_loss: 0.0621589 | Time: 2940.86 ms [2020-11-26 17:41:39 main:581] : INFO : Epoch 35 | loss: 0.0621633 | val_loss: 0.0621463 | Time: 3045.22 ms [2020-11-26 17:41:43 main:581] : INFO : Epoch 36 | loss: 0.0621769 | val_loss: 0.0621784 | Time: 3118.07 ms [2020-11-26 17:41:46 main:581] : INFO : Epoch 37 | loss: 0.0621766 | val_loss: 0.0621653 | Time: 3092.71 ms [2020-11-26 17:41:49 main:581] : INFO : Epoch 38 | loss: 0.0621736 | val_loss: 0.0621694 | Time: 3164.83 ms [2020-11-26 17:41:52 main:581] : INFO : Epoch 39 | loss: 0.0621838 | val_loss: 0.0621787 | Time: 3125.34 ms [2020-11-26 17:41:55 main:581] : INFO : Epoch 40 | loss: 0.0622022 | val_loss: 0.0621849 | Time: 3175.6 ms [2020-11-26 17:41:58 main:581] : INFO : Epoch 41 | loss: 0.0621946 | val_loss: 0.0621666 | Time: 3027.85 ms [2020-11-26 17:42:01 main:581] : INFO : Epoch 42 | loss: 0.0622417 | val_loss: 0.0623088 | Time: 3075.37 ms [2020-11-26 17:42:04 main:581] : INFO : Epoch 43 | loss: 0.0623184 | val_loss: 0.062297 | Time: 2961.72 ms [2020-11-26 17:42:07 main:581] : INFO : Epoch 44 | loss: 0.0623016 | val_loss: 0.0623168 | Time: 3043.54 ms [2020-11-26 17:42:10 main:581] : INFO : Epoch 45 | loss: 0.0623025 | val_loss: 0.0623129 | Time: 3032.5 ms [2020-11-26 17:42:13 main:581] : INFO : Epoch 46 | loss: 0.0623008 | val_loss: 0.0623166 | Time: 3084.48 ms [2020-11-26 17:42:17 main:581] : INFO : Epoch 47 | loss: 0.0623066 | val_loss: 0.0623062 | Time: 3221.26 ms [2020-11-26 17:42:20 main:581] : INFO : Epoch 48 | loss: 0.0622984 | val_loss: 0.0622998 | Time: 3025.59 ms [2020-11-26 17:42:23 main:581] : INFO : Epoch 49 | loss: 0.0622916 | val_loss: 0.0623069 | Time: 3036.16 ms [2020-11-26 17:42:26 main:581] : INFO : Epoch 50 | loss: 0.0622984 | val_loss: 0.062305 | Time: 3028.25 ms [2020-11-26 17:42:29 main:581] : INFO : Epoch 51 | loss: 0.0623033 | val_loss: 0.0623098 | Time: 2984.5 ms [2020-11-26 17:42:32 main:581] : INFO : Epoch 52 | loss: 0.0623141 | val_loss: 0.0623037 | Time: 2967.36 ms [2020-11-26 17:42:35 main:581] : INFO : Epoch 53 | loss: 0.0623049 | val_loss: 0.0622927 | Time: 3125.22 ms [2020-11-26 17:42:38 main:581] : INFO : Epoch 54 | loss: 0.0623026 | val_loss: 0.0623035 | Time: 3064.12 ms [2020-11-26 17:42:41 main:581] : INFO : Epoch 55 | loss: 0.0622934 | val_loss: 0.0622961 | Time: 3185.98 ms [2020-11-26 17:42:44 main:581] : INFO : Epoch 56 | loss: 0.0622912 | val_loss: 0.0622991 | Time: 3077.3 ms [2020-11-26 17:42:47 main:581] : INFO : Epoch 57 | loss: 0.0622914 | val_loss: 0.0622813 | Time: 3139.67 ms [2020-11-26 17:42:50 main:581] : INFO : Epoch 58 | loss: 0.0623029 | val_loss: 0.0623138 | Time: 3027.35 ms [2020-11-26 17:42:53 main:581] : INFO : Epoch 59 | loss: 0.0623032 | val_loss: 0.062332 | Time: 2991.01 ms [2020-11-26 17:42:56 main:581] : INFO : Epoch 60 | loss: 0.0623018 | val_loss: 0.062322 | Time: 3004.59 ms [2020-11-26 17:42:59 main:581] : INFO : Epoch 61 | loss: 0.0622869 | val_loss: 0.0623035 | Time: 3000.28 ms [2020-11-26 17:43:02 main:581] : INFO : Epoch 62 | loss: 0.0622874 | val_loss: 0.0622906 | Time: 2993.74 ms [2020-11-26 17:43:05 main:581] : INFO : Epoch 63 | loss: 0.0622896 | val_loss: 0.0623036 | Time: 3109.16 ms [2020-11-26 17:43:08 main:581] : INFO : Epoch 64 | loss: 0.0623428 | val_loss: 0.0623483 | Time: 3084.03 ms [2020-11-26 17:43:11 main:581] : INFO : Epoch 65 | loss: 0.0623435 | val_loss: 0.0623533 | Time: 2981 ms [2020-11-26 17:43:15 main:581] : INFO : Epoch 66 | loss: 0.0623436 | val_loss: 0.0623376 | Time: 3189.25 ms [2020-11-26 17:43:18 main:581] : INFO : Epoch 67 | loss: 0.0623469 | val_loss: 0.062343 | Time: 2959.19 ms [2020-11-26 17:43:21 main:581] : INFO : Epoch 68 | loss: 0.0623461 | val_loss: 0.0623472 | Time: 2982.46 ms [2020-11-26 17:43:24 main:581] : INFO : Epoch 69 | loss: 0.0623486 | val_loss: 0.0623507 | Time: 2992.64 ms [2020-11-26 17:43:27 main:581] : INFO : Epoch 70 | loss: 0.0623487 | val_loss: 0.0623477 | Time: 3066.03 ms [2020-11-26 17:43:30 main:581] : INFO : Epoch 71 | loss: 0.0623488 | val_loss: 0.0623225 | Time: 2982.5 ms [2020-11-26 17:43:33 main:581] : INFO : Epoch 72 | loss: 0.0623304 | val_loss: 0.0623248 | Time: 3016.46 ms [2020-11-26 17:43:36 main:581] : INFO : Epoch 73 | loss: 0.0623313 | val_loss: 0.0623424 | Time: 2970.07 ms [2020-11-26 17:43:39 main:581] : INFO : Epoch 74 | loss: 0.0623378 | val_loss: 0.0623255 | Time: 3048 ms [2020-11-26 17:43:42 main:581] : INFO : Epoch 75 | loss: 0.062336 | val_loss: 0.0623325 | Time: 3060.15 ms [2020-11-26 17:43:45 main:581] : INFO : Epoch 76 | loss: 0.0623338 | val_loss: 0.0623265 | Time: 2992.29 ms [2020-11-26 17:43:48 main:581] : INFO : Epoch 77 | loss: 0.0623288 | val_loss: 0.0623392 | Time: 3048.33 ms [2020-11-26 17:43:51 main:581] : INFO : Epoch 78 | loss: 0.0623252 | val_loss: 0.0623503 | Time: 3113.06 ms [2020-11-26 17:43:54 main:581] : INFO : Epoch 79 | loss: 0.0623388 | val_loss: 0.0623275 | Time: 3171.14 ms [2020-11-26 17:43:57 main:581] : INFO : Epoch 80 | loss: 0.0623316 | val_loss: 0.0623453 | Time: 3031.52 ms [2020-11-26 17:44:00 main:581] : INFO : Epoch 81 | loss: 0.0623273 | val_loss: 0.0623236 | Time: 3228.89 ms [2020-11-26 17:44:03 main:581] : INFO : Epoch 82 | loss: 0.0623245 | val_loss: 0.062333 | Time: 3109.35 ms [2020-11-26 17:44:06 main:581] : INFO : Epoch 83 | loss: 0.0623277 | val_loss: 0.0623357 | Time: 3055.84 ms [2020-11-26 17:44:10 main:581] : INFO : Epoch 84 | loss: 0.0623301 | val_loss: 0.0623023 | Time: 3096.62 ms [2020-11-26 17:44:13 main:581] : INFO : Epoch 85 | loss: 0.0623161 | val_loss: 0.0623011 | Time: 3037.79 ms [2020-11-26 17:44:16 main:581] : INFO : Epoch 86 | loss: 0.0623172 | val_loss: 0.0622988 | Time: 3160.2 ms [2020-11-26 17:44:19 main:581] : INFO : Epoch 87 | loss: 0.0623112 | val_loss: 0.0623119 | Time: 3028.51 ms [2020-11-26 17:44:22 main:581] : INFO : Epoch 88 | loss: 0.0623097 | val_loss: 0.0622908 | Time: 2994.82 ms [2020-11-26 17:44:25 main:581] : INFO : Epoch 89 | loss: 0.0622946 | val_loss: 0.0622816 | Time: 2996.16 ms [2020-11-26 17:44:28 main:581] : INFO : Epoch 90 | loss: 0.0623032 | val_loss: 0.0622717 | Time: 3026.88 ms [2020-11-26 17:44:31 main:581] : INFO : Epoch 91 | loss: 0.0623027 | val_loss: 0.0622841 | Time: 2999.16 ms [2020-11-26 17:44:34 main:581] : INFO : Epoch 92 | loss: 0.0623027 | val_loss: 0.0622805 | Time: 3074.17 ms [2020-11-26 17:44:37 main:581] : INFO : Epoch 93 | loss: 0.0622995 | val_loss: 0.0622913 | Time: 3044.46 ms [2020-11-26 17:44:40 main:581] : INFO : Epoch 94 | loss: 0.06229 | val_loss: 0.0622811 | Time: 3003.06 ms [2020-11-26 17:44:43 main:581] : INFO : Epoch 95 | loss: 0.0622918 | val_loss: 0.0622756 | Time: 3091.47 ms [2020-11-26 17:44:46 main:581] : INFO : Epoch 96 | loss: 0.0623652 | val_loss: 0.0623645 | Time: 3009.92 ms [2020-11-26 17:44:49 main:581] : INFO : Epoch 97 | loss: 0.0623939 | val_loss: 0.0623545 | Time: 3230.54 ms [2020-11-26 17:44:52 main:581] : INFO : Epoch 98 | loss: 0.0623841 | val_loss: 0.0623818 | Time: 3186.23 ms [2020-11-26 17:44:56 main:581] : INFO : Epoch 99 | loss: 0.0623885 | val_loss: 0.0623788 | Time: 3187.53 ms [2020-11-26 17:44:59 main:581] : INFO : Epoch 100 | loss: 0.0623891 | val_loss: 0.0623752 | Time: 3037.74 ms [2020-11-26 17:45:02 main:581] : INFO : Epoch 101 | loss: 0.0623723 | val_loss: 0.0623364 | Time: 3094.94 ms [2020-11-26 17:45:05 main:581] : INFO : Epoch 102 | loss: 0.0623669 | val_loss: 0.0623397 | Time: 3089.91 ms [2020-11-26 17:45:08 main:581] : INFO : Epoch 103 | loss: 0.0623565 | val_loss: 0.0623379 | Time: 3154.14 ms [2020-11-26 17:45:11 main:581] : INFO : Epoch 104 | loss: 0.0623578 | val_loss: 0.0623447 | Time: 3124.4 ms [2020-11-26 17:45:14 main:581] : INFO : Epoch 105 | loss: 0.0623695 | val_loss: 0.0623443 | Time: 3079.85 ms [2020-11-26 17:45:17 main:581] : INFO : Epoch 106 | loss: 0.0623699 | val_loss: 0.0623527 | Time: 2966.04 ms [2020-11-26 17:45:20 main:581] : INFO : Epoch 107 | loss: 0.0623718 | val_loss: 0.0623889 | Time: 3000.43 ms [2020-11-26 17:45:23 main:581] : INFO : Epoch 108 | loss: 0.0624303 | val_loss: 0.0624022 | Time: 3010.14 ms [2020-11-26 17:45:26 main:581] : INFO : Epoch 109 | loss: 0.0624297 | val_loss: 0.0624037 | Time: 3054.32 ms [2020-11-26 17:45:29 main:581] : INFO : Epoch 110 | loss: 0.0624266 | val_loss: 0.0623823 | Time: 3064.76 ms [2020-11-26 17:45:32 main:581] : INFO : Epoch 111 | loss: 0.0624274 | val_loss: 0.0624258 | Time: 3100.86 ms [2020-11-26 17:45:35 main:581] : INFO : Epoch 112 | loss: 0.0624236 | val_loss: 0.0623954 | Time: 3058.15 ms [2020-11-26 17:45:39 main:581] : INFO : Epoch 113 | loss: 0.0624186 | val_loss: 0.062396 | Time: 3180.95 ms [2020-11-26 17:45:42 main:581] : INFO : Epoch 114 | loss: 0.0624244 | val_loss: 0.0623871 | Time: 3146.71 ms [2020-11-26 17:45:45 main:581] : INFO : Epoch 115 | loss: 0.0624093 | val_loss: 0.0623563 | Time: 3045.78 ms [2020-11-26 17:45:48 main:581] : INFO : Epoch 116 | loss: 0.0623746 | val_loss: 0.0623158 | Time: 3068.66 ms [2020-11-26 17:45:51 main:581] : INFO : Epoch 117 | loss: 0.0623608 | val_loss: 0.0623213 | Time: 3017.98 ms [2020-11-26 17:45:54 main:581] : INFO : Epoch 118 | loss: 0.0623372 | val_loss: 0.0623151 | Time: 3169.21 ms [2020-11-26 17:45:57 main:581] : INFO : Epoch 119 | loss: 0.0623313 | val_loss: 0.062303 | Time: 3050.37 ms [2020-11-26 17:46:00 main:581] : INFO : Epoch 120 | loss: 0.0623316 | val_loss: 0.0623213 | Time: 2989.68 ms [2020-11-26 17:46:03 main:581] : INFO : Epoch 121 | loss: 0.0623727 | val_loss: 0.0623762 | Time: 3069.98 ms [2020-11-26 17:46:06 main:581] : INFO : Epoch 122 | loss: 0.062381 | val_loss: 0.0623618 | Time: 3054.31 ms [2020-11-26 17:46:09 main:581] : INFO : Epoch 123 | loss: 0.0623611 | val_loss: 0.0623388 | Time: 3006.9 ms [2020-11-26 17:46:12 main:581] : INFO : Epoch 124 | loss: 0.062354 | val_loss: 0.0623479 | Time: 3101.38 ms [2020-11-26 17:46:15 main:581] : INFO : Epoch 125 | loss: 0.0623526 | val_loss: 0.0623596 | Time: 3007.12 ms [2020-11-26 17:46:18 main:581] : INFO : Epoch 126 | loss: 0.0623422 | val_loss: 0.0623467 | Time: 2988.41 ms [2020-11-26 17:46:21 main:581] : INFO : Epoch 127 | loss: 0.0623559 | val_loss: 0.062356 | Time: 2996.04 ms [2020-11-26 17:46:24 main:581] : INFO : Epoch 128 | loss: 0.0623665 | val_loss: 0.0623705 | Time: 3077.5 ms [2020-11-26 17:46:27 main:581] : INFO : Epoch 129 | loss: 0.0623644 | val_loss: 0.0623535 | Time: 3016.83 ms [2020-11-26 17:46:31 main:581] : INFO : Epoch 130 | loss: 0.0623669 | val_loss: 0.0623524 | Time: 3065.83 ms [2020-11-26 17:46:34 main:581] : INFO : Epoch 131 | loss: 0.062368 | val_loss: 0.0623807 | Time: 3041.06 ms [2020-11-26 17:46:37 main:581] : INFO : Epoch 132 | loss: 0.0623848 | val_loss: 0.0623808 | Time: 3071.65 ms [2020-11-26 17:46:40 main:581] : INFO : Epoch 133 | loss: 0.0623746 | val_loss: 0.0623695 | Time: 3068.38 ms [2020-11-26 17:46:43 main:581] : INFO : Epoch 134 | loss: 0.06238 | val_loss: 0.062361 | Time: 3043.83 ms [2020-11-26 17:46:46 main:581] : INFO : Epoch 135 | loss: 0.0623705 | val_loss: 0.0623591 | Time: 3008.33 ms [2020-11-26 17:46:49 main:581] : INFO : Epoch 136 | loss: 0.0623644 | val_loss: 0.062344 | Time: 2973.8 ms [2020-11-26 17:46:52 main:581] : INFO : Epoch 137 | loss: 0.062353 | val_loss: 0.0623452 | Time: 3169.29 ms [2020-11-26 17:46:55 main:581] : INFO : Epoch 138 | loss: 0.0623722 | val_loss: 0.0623556 | Time: 3011.68 ms [2020-11-26 17:46:58 main:581] : INFO : Epoch 139 | loss: 0.0623722 | val_loss: 0.0623549 | Time: 3007.94 ms [2020-11-26 17:47:01 main:581] : INFO : Epoch 140 | loss: 0.0623781 | val_loss: 0.062353 | Time: 3100.19 ms [2020-11-26 17:47:04 main:581] : INFO : Epoch 141 | loss: 0.0623741 | val_loss: 0.0623593 | Time: 3022.03 ms [2020-11-26 17:47:07 main:581] : INFO : Epoch 142 | loss: 0.0623746 | val_loss: 0.0623756 | Time: 3037.25 ms [2020-11-26 17:47:10 main:581] : INFO : Epoch 143 | loss: 0.0623755 | val_loss: 0.0623331 | Time: 3191.22 ms [2020-11-26 17:47:13 main:581] : INFO : Epoch 144 | loss: 0.0623735 | val_loss: 0.0623337 | Time: 3094.8 ms [2020-11-26 17:47:17 main:581] : INFO : Epoch 145 | loss: 0.0623695 | val_loss: 0.0623346 | Time: 3142.33 ms [2020-11-26 17:47:20 main:581] : INFO : Epoch 146 | loss: 0.0623681 | val_loss: 0.0623368 | Time: 3075.49 ms [2020-11-26 17:47:23 main:581] : INFO : Epoch 147 | loss: 0.0623659 | val_loss: 0.0623254 | Time: 3022.78 ms [2020-11-26 17:47:26 main:581] : INFO : Epoch 148 | loss: 0.0623713 | val_loss: 0.0623409 | Time: 3047.46 ms [2020-11-26 17:47:29 main:581] : INFO : Epoch 149 | loss: 0.0623725 | val_loss: 0.0623355 | Time: 3095.01 ms [2020-11-26 17:47:32 main:581] : INFO : Epoch 150 | loss: 0.0623676 | val_loss: 0.0623458 | Time: 3040.04 ms [2020-11-26 17:47:35 main:581] : INFO : Epoch 151 | loss: 0.062372 | val_loss: 0.0623424 | Time: 3299.53 ms [2020-11-26 17:47:38 main:581] : INFO : Epoch 152 | loss: 0.0623823 | val_loss: 0.0623842 | Time: 3107.03 ms [2020-11-26 17:47:41 main:581] : INFO : Epoch 153 | loss: 0.0623987 | val_loss: 0.0623986 | Time: 3001.29 ms [2020-11-26 17:47:44 main:581] : INFO : Epoch 154 | loss: 0.0623983 | val_loss: 0.0623975 | Time: 2974.26 ms [2020-11-26 17:47:47 main:581] : INFO : Epoch 155 | loss: 0.0623978 | val_loss: 0.0623859 | Time: 2968.65 ms [2020-11-26 17:47:50 main:581] : INFO : Epoch 156 | loss: 0.0623941 | val_loss: 0.0623916 | Time: 3040.44 ms [2020-11-26 17:47:53 main:581] : INFO : Epoch 157 | loss: 0.0623604 | val_loss: 0.0623604 | Time: 3030.72 ms [2020-11-26 17:47:56 main:581] : INFO : Epoch 158 | loss: 0.0623573 | val_loss: 0.062372 | Time: 2973.15 ms [2020-11-26 17:47:59 main:581] : INFO : Epoch 159 | loss: 0.0623535 | val_loss: 0.0623583 | Time: 2988.98 ms [2020-11-26 17:48:02 main:581] : INFO : Epoch 160 | loss: 0.0623582 | val_loss: 0.0623607 | Time: 3028.9 ms [2020-11-26 17:48:05 main:581] : INFO : Epoch 161 | loss: 0.0623518 | val_loss: 0.0623755 | Time: 2989.13 ms [2020-11-26 17:48:08 main:581] : INFO : Epoch 162 | loss: 0.0623547 | val_loss: 0.0623702 | Time: 2969.62 ms [2020-11-26 17:48:11 main:581] : INFO : Epoch 163 | loss: 0.0623507 | val_loss: 0.0623629 | Time: 3187.85 ms [2020-11-26 17:48:14 main:581] : INFO : Epoch 164 | loss: 0.0623523 | val_loss: 0.0623577 | Time: 2978.85 ms [2020-11-26 17:48:17 main:581] : INFO : Epoch 165 | loss: 0.0623503 | val_loss: 0.0623645 | Time: 3134.29 ms [2020-11-26 17:48:21 main:581] : INFO : Epoch 166 | loss: 0.0623522 | val_loss: 0.0623737 | Time: 3262.76 ms [2020-11-26 17:48:24 main:581] : INFO : Epoch 167 | loss: 0.0623551 | val_loss: 0.06237 | Time: 3024.19 ms [2020-11-26 17:48:27 main:581] : INFO : Epoch 168 | loss: 0.06236 | val_loss: 0.0623756 | Time: 3123.69 ms [2020-11-26 17:48:30 main:581] : INFO : Epoch 169 | loss: 0.0623612 | val_loss: 0.0623745 | Time: 3121.28 ms [2020-11-26 17:48:33 main:581] : INFO : Epoch 170 | loss: 0.0623527 | val_loss: 0.062356 | Time: 3095.25 ms [2020-11-26 17:48:36 main:581] : INFO : Epoch 171 | loss: 0.0623541 | val_loss: 0.0623658 | Time: 2992.26 ms [2020-11-26 17:48:39 main:581] : INFO : Epoch 172 | loss: 0.0623559 | val_loss: 0.062367 | Time: 2974.07 ms [2020-11-26 17:48:42 main:581] : INFO : Epoch 173 | loss: 0.0623547 | val_loss: 0.0623566 | Time: 2979.44 ms [2020-11-26 17:48:45 main:581] : INFO : Epoch 174 | loss: 0.0623554 | val_loss: 0.0623725 | Time: 3032.69 ms [2020-11-26 17:48:48 main:581] : INFO : Epoch 175 | loss: 0.0623555 | val_loss: 0.0623865 | Time: 3043.19 ms [2020-11-26 17:48:51 main:581] : INFO : Epoch 176 | loss: 0.0623596 | val_loss: 0.0623574 | Time: 3027.57 ms [2020-11-26 17:48:54 main:581] : INFO : Epoch 177 | loss: 0.0623538 | val_loss: 0.0623565 | Time: 3078.95 ms [2020-11-26 17:48:57 main:581] : INFO : Epoch 178 | loss: 0.0623534 | val_loss: 0.0623816 | Time: 3120.56 ms [2020-11-26 17:49:00 main:581] : INFO : Epoch 179 | loss: 0.0623508 | val_loss: 0.0623726 | Time: 3128.94 ms [2020-11-26 17:49:04 main:581] : INFO : Epoch 180 | loss: 0.0623566 | val_loss: 0.0623859 | Time: 3203.02 ms [2020-11-26 17:49:07 main:581] : INFO : Epoch 181 | loss: 0.0623563 | val_loss: 0.0623848 | Time: 3126.74 ms [2020-11-26 17:49:10 main:581] : INFO : Epoch 182 | loss: 0.0623586 | val_loss: 0.0623754 | Time: 3065.42 ms [2020-11-26 17:49:13 main:581] : INFO : Epoch 183 | loss: 0.0623562 | val_loss: 0.0623825 | Time: 3088.92 ms [2020-11-26 17:49:16 main:581] : INFO : Epoch 184 | loss: 0.062363 | val_loss: 0.0623743 | Time: 2991.81 ms [2020-11-26 17:49:19 main:581] : INFO : Epoch 185 | loss: 0.0623556 | val_loss: 0.0623634 | Time: 2976.2 ms [2020-11-26 17:49:22 main:581] : INFO : Epoch 186 | loss: 0.0623544 | val_loss: 0.0623506 | Time: 3105.52 ms [2020-11-26 17:49:25 main:581] : INFO : Epoch 187 | loss: 0.0623523 | val_loss: 0.0623543 | Time: 3097.49 ms [2020-11-26 17:49:28 main:581] : INFO : Epoch 188 | loss: 0.0623523 | val_loss: 0.0623499 | Time: 2988.57 ms [2020-11-26 17:49:31 main:581] : INFO : Epoch 189 | loss: 0.062363 | val_loss: 0.0623838 | Time: 3030.45 ms [2020-11-26 17:49:34 main:581] : INFO : Epoch 190 | loss: 0.0623777 | val_loss: 0.0623746 | Time: 3058.28 ms [2020-11-26 17:49:37 main:581] : INFO : Epoch 191 | loss: 0.0623718 | val_loss: 0.0623782 | Time: 2996.19 ms [2020-11-26 17:49:40 main:581] : INFO : Epoch 192 | loss: 0.0623697 | val_loss: 0.0623811 | Time: 3143.99 ms [2020-11-26 17:49:40 main:604] : INFO : Saving trained model to model-final.pt, val_loss 0.0623811 [2020-11-26 17:49:40 main:610] : INFO : Saving end state to config to file [2020-11-26 17:49:40 main:615] : INFO : Success, exiting.. 17:49:40 (15509): 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)