Task 3076152
| Name | rand_automata_0082-1606118020-23562-97_0 |
| Workunit | 1404225 |
| Created | 26 Nov 2020, 23:32:04 UTC |
| Sent | 26 Nov 2020, 23:41:51 UTC |
| Report deadline | 3 Dec 2020, 23:41:51 UTC |
| Received | 26 Nov 2020, 23:52:11 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 4754 |
| Run time | 9 min 54 sec |
| CPU time | 9 min 51 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 | 9.99 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 18:42:08 main:442] : INFO : Set logging level to 1 [2020-11-26 18:42:08 main:448] : INFO : Running in BOINC Client mode [2020-11-26 18:42:08 main:451] : INFO : Resolving all filenames [2020-11-26 18:42:08 main:459] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-train-val-dataset.hdf5 (exists = 1) [2020-11-26 18:42:08 main:459] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-1606118020-23562-97_0_r1389720060_1 (exists = 0) [2020-11-26 18:42:08 main:459] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-1606118020-23562-97_0_r1389720060_0 (exists = 0) [2020-11-26 18:42:08 main:459] : INFO : Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-1606118020-23562-97 (exists = 1) [2020-11-26 18:42:08 main:459] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-26 18:42:08 main:479] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-train-val-dataset.hdf5 [2020-11-26 18:42:08 main:481] : INFO : Configuration: [2020-11-26 18:42:08 main:482] : INFO : Model type: LSTM [2020-11-26 18:42:08 main:483] : INFO : Validation Loss Threshold: 0.0001 [2020-11-26 18:42:08 main:484] : INFO : Max Epochs: 192 [2020-11-26 18:42:08 main:485] : INFO : Batch Size: 32 [2020-11-26 18:42:08 main:486] : INFO : Learning Rate: 0.001 [2020-11-26 18:42:08 main:487] : INFO : Patience: 10 [2020-11-26 18:42:08 main:488] : INFO : Hidden Width: 64 [2020-11-26 18:42:08 main:489] : INFO : # Recurrent Layers: 4 [2020-11-26 18:42:08 main:490] : INFO : # Backend Layers: 2 [2020-11-26 18:42:08 main:491] : INFO : # Threads: 1 [2020-11-26 18:42:08 main:493] : INFO : Preparing Dataset [2020-11-26 18:42:08 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 18:42:08 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 18:42:10 load:106] : INFO : Successfully loaded dataset of 4096 examples into memory. [2020-11-26 18:42:10 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 18:42:10 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 18:42:10 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-26 18:42:10 main:501] : INFO : Creating Model [2020-11-26 18:42:10 main:514] : INFO : Preparing config file [2020-11-26 18:42:10 main:526] : INFO : Creating new config file [2020-11-26 18:42:10 main:545] : INFO : This is a continuation WU, loading previous network [2020-11-26 18:42:10 main:566] : INFO : Loading DataLoader into Memory [2020-11-26 18:42:10 main:569] : INFO : Starting Training [2020-11-26 18:42:15 main:581] : INFO : Epoch 1 | loss: 0.0631271 | val_loss: 0.0631628 | Time: 4796.65 ms [2020-11-26 18:42:18 main:581] : INFO : Epoch 2 | loss: 0.0632032 | val_loss: 0.0632213 | Time: 2980.76 ms [2020-11-26 18:42:21 main:581] : INFO : Epoch 3 | loss: 0.0632464 | val_loss: 0.0632359 | Time: 3095.07 ms [2020-11-26 18:42:24 main:581] : INFO : Epoch 4 | loss: 0.0633023 | val_loss: 0.0632938 | Time: 2948.49 ms [2020-11-26 18:42:27 main:581] : INFO : Epoch 5 | loss: 0.0633133 | val_loss: 0.0633238 | Time: 3007.02 ms [2020-11-26 18:42:30 main:581] : INFO : Epoch 6 | loss: 0.0633242 | val_loss: 0.0632949 | Time: 2991.6 ms [2020-11-26 18:42:33 main:581] : INFO : Epoch 7 | loss: 0.0633177 | val_loss: 0.0633197 | Time: 3205.39 ms [2020-11-26 18:42:36 main:581] : INFO : Epoch 8 | loss: 0.0633126 | val_loss: 0.0633129 | Time: 3003.09 ms [2020-11-26 18:42:39 main:581] : INFO : Epoch 9 | loss: 0.0633166 | val_loss: 0.0632969 | Time: 2965.52 ms [2020-11-26 18:42:43 main:581] : INFO : Epoch 10 | loss: 0.0633179 | val_loss: 0.0633098 | Time: 3590.61 ms [2020-11-26 18:42:46 main:581] : INFO : Epoch 11 | loss: 0.0632867 | val_loss: 0.0632312 | Time: 2999.52 ms [2020-11-26 18:42:49 main:581] : INFO : Epoch 12 | loss: 0.0632568 | val_loss: 0.0632399 | Time: 3084.22 ms [2020-11-26 18:42:52 main:581] : INFO : Epoch 13 | loss: 0.063257 | val_loss: 0.0632433 | Time: 3070.38 ms [2020-11-26 18:42:55 main:581] : INFO : Epoch 14 | loss: 0.0632571 | val_loss: 0.0632417 | Time: 2987.65 ms [2020-11-26 18:42:58 main:581] : INFO : Epoch 15 | loss: 0.0632567 | val_loss: 0.0632427 | Time: 3009.21 ms [2020-11-26 18:43:01 main:581] : INFO : Epoch 16 | loss: 0.0632577 | val_loss: 0.063231 | Time: 3019.21 ms [2020-11-26 18:43:04 main:581] : INFO : Epoch 17 | loss: 0.063258 | val_loss: 0.0632446 | Time: 2988.76 ms [2020-11-26 18:43:07 main:581] : INFO : Epoch 18 | loss: 0.0632592 | val_loss: 0.0632643 | Time: 2989.26 ms [2020-11-26 18:43:10 main:581] : INFO : Epoch 19 | loss: 0.0632572 | val_loss: 0.0632441 | Time: 3019.45 ms [2020-11-26 18:43:13 main:581] : INFO : Epoch 20 | loss: 0.0632515 | val_loss: 0.0632515 | Time: 2990.53 ms [2020-11-26 18:43:16 main:581] : INFO : Epoch 21 | loss: 0.0632495 | val_loss: 0.0632449 | Time: 3087.47 ms [2020-11-26 18:43:19 main:581] : INFO : Epoch 22 | loss: 0.0632533 | val_loss: 0.0632497 | Time: 3033.31 ms [2020-11-26 18:43:22 main:581] : INFO : Epoch 23 | loss: 0.0632576 | val_loss: 0.0632383 | Time: 2981.34 ms [2020-11-26 18:43:25 main:581] : INFO : Epoch 24 | loss: 0.0632601 | val_loss: 0.0632338 | Time: 3023.63 ms [2020-11-26 18:43:28 main:581] : INFO : Epoch 25 | loss: 0.0632616 | val_loss: 0.0632502 | Time: 3156.71 ms [2020-11-26 18:43:31 main:581] : INFO : Epoch 26 | loss: 0.0632652 | val_loss: 0.0632397 | Time: 3013.61 ms [2020-11-26 18:43:34 main:581] : INFO : Epoch 27 | loss: 0.063282 | val_loss: 0.0632746 | Time: 2982.49 ms [2020-11-26 18:43:37 main:581] : INFO : Epoch 28 | loss: 0.0632812 | val_loss: 0.0632643 | Time: 2991.72 ms [2020-11-26 18:43:40 main:581] : INFO : Epoch 29 | loss: 0.06328 | val_loss: 0.0632589 | Time: 2986.59 ms [2020-11-26 18:43:43 main:581] : INFO : Epoch 30 | loss: 0.0633017 | val_loss: 0.0633218 | Time: 3004.77 ms [2020-11-26 18:43:47 main:581] : INFO : Epoch 31 | loss: 0.0633344 | val_loss: 0.0633027 | Time: 3158.4 ms [2020-11-26 18:43:50 main:581] : INFO : Epoch 32 | loss: 0.063332 | val_loss: 0.0633424 | Time: 3026.39 ms [2020-11-26 18:43:53 main:581] : INFO : Epoch 33 | loss: 0.0633301 | val_loss: 0.0633516 | Time: 3046.64 ms [2020-11-26 18:43:56 main:581] : INFO : Epoch 34 | loss: 0.0633236 | val_loss: 0.0633365 | Time: 3051.76 ms [2020-11-26 18:43:59 main:581] : INFO : Epoch 35 | loss: 0.0633226 | val_loss: 0.0633331 | Time: 3064.82 ms [2020-11-26 18:44:02 main:581] : INFO : Epoch 36 | loss: 0.0633389 | val_loss: 0.0633478 | Time: 3062.86 ms [2020-11-26 18:44:05 main:581] : INFO : Epoch 37 | loss: 0.0633443 | val_loss: 0.0633374 | Time: 3010.46 ms [2020-11-26 18:44:08 main:581] : INFO : Epoch 38 | loss: 0.0633527 | val_loss: 0.0633532 | Time: 3123.88 ms [2020-11-26 18:44:11 main:581] : INFO : Epoch 39 | loss: 0.0633462 | val_loss: 0.0633262 | Time: 3119.57 ms [2020-11-26 18:44:14 main:581] : INFO : Epoch 40 | loss: 0.063337 | val_loss: 0.0633155 | Time: 3131.64 ms [2020-11-26 18:44:17 main:581] : INFO : Epoch 41 | loss: 0.0632816 | val_loss: 0.0632488 | Time: 3136.92 ms [2020-11-26 18:44:20 main:581] : INFO : Epoch 42 | loss: 0.0632608 | val_loss: 0.063247 | Time: 3040.23 ms [2020-11-26 18:44:23 main:581] : INFO : Epoch 43 | loss: 0.0633138 | val_loss: 0.0633391 | Time: 3022.45 ms [2020-11-26 18:44:27 main:581] : INFO : Epoch 44 | loss: 0.0633429 | val_loss: 0.0633137 | Time: 3102.78 ms [2020-11-26 18:44:30 main:581] : INFO : Epoch 45 | loss: 0.0633524 | val_loss: 0.0633252 | Time: 3183.46 ms [2020-11-26 18:44:33 main:581] : INFO : Epoch 46 | loss: 0.0633468 | val_loss: 0.0633319 | Time: 3111.6 ms [2020-11-26 18:44:36 main:581] : INFO : Epoch 47 | loss: 0.0633506 | val_loss: 0.0633233 | Time: 3097.48 ms [2020-11-26 18:44:39 main:581] : INFO : Epoch 48 | loss: 0.063347 | val_loss: 0.0633377 | Time: 3026.45 ms [2020-11-26 18:44:42 main:581] : INFO : Epoch 49 | loss: 0.0633476 | val_loss: 0.0633293 | Time: 3135.85 ms [2020-11-26 18:44:45 main:581] : INFO : Epoch 50 | loss: 0.0633507 | val_loss: 0.0633483 | Time: 3097.28 ms [2020-11-26 18:44:48 main:581] : INFO : Epoch 51 | loss: 0.0633472 | val_loss: 0.0633063 | Time: 3128.68 ms [2020-11-26 18:44:51 main:581] : INFO : Epoch 52 | loss: 0.0633386 | val_loss: 0.0633205 | Time: 2979.55 ms [2020-11-26 18:44:54 main:581] : INFO : Epoch 53 | loss: 0.063334 | val_loss: 0.0633171 | Time: 3007.32 ms [2020-11-26 18:44:57 main:581] : INFO : Epoch 54 | loss: 0.0633365 | val_loss: 0.063323 | Time: 3019.15 ms [2020-11-26 18:45:00 main:581] : INFO : Epoch 55 | loss: 0.0633321 | val_loss: 0.0633112 | Time: 3017.75 ms [2020-11-26 18:45:03 main:581] : INFO : Epoch 56 | loss: 0.0633324 | val_loss: 0.0633176 | Time: 3112.51 ms [2020-11-26 18:45:07 main:581] : INFO : Epoch 57 | loss: 0.0633376 | val_loss: 0.0633144 | Time: 3071.88 ms [2020-11-26 18:45:10 main:581] : INFO : Epoch 58 | loss: 0.0633362 | val_loss: 0.0633196 | Time: 2976.5 ms [2020-11-26 18:45:13 main:581] : INFO : Epoch 59 | loss: 0.063347 | val_loss: 0.063337 | Time: 3300.75 ms [2020-11-26 18:45:16 main:581] : INFO : Epoch 60 | loss: 0.0633511 | val_loss: 0.0633418 | Time: 3170 ms [2020-11-26 18:45:19 main:581] : INFO : Epoch 61 | loss: 0.0633659 | val_loss: 0.0633597 | Time: 3417.02 ms [2020-11-26 18:45:22 main:581] : INFO : Epoch 62 | loss: 0.0633625 | val_loss: 0.0633489 | Time: 3045.22 ms [2020-11-26 18:45:25 main:581] : INFO : Epoch 63 | loss: 0.0633632 | val_loss: 0.0633543 | Time: 3022.34 ms [2020-11-26 18:45:28 main:581] : INFO : Epoch 64 | loss: 0.0633563 | val_loss: 0.0633082 | Time: 3028.19 ms [2020-11-26 18:45:31 main:581] : INFO : Epoch 65 | loss: 0.0633127 | val_loss: 0.063299 | Time: 2997.94 ms [2020-11-26 18:45:35 main:581] : INFO : Epoch 66 | loss: 0.0633065 | val_loss: 0.0632855 | Time: 3078.79 ms [2020-11-26 18:45:38 main:581] : INFO : Epoch 67 | loss: 0.0633088 | val_loss: 0.0632966 | Time: 3061.09 ms [2020-11-26 18:45:41 main:581] : INFO : Epoch 68 | loss: 0.0633118 | val_loss: 0.0633121 | Time: 3028.73 ms [2020-11-26 18:45:44 main:581] : INFO : Epoch 69 | loss: 0.0633049 | val_loss: 0.0633021 | Time: 3205.43 ms [2020-11-26 18:45:47 main:581] : INFO : Epoch 70 | loss: 0.0633092 | val_loss: 0.0633042 | Time: 3068.35 ms [2020-11-26 18:45:50 main:581] : INFO : Epoch 71 | loss: 0.0633194 | val_loss: 0.063334 | Time: 3088.3 ms [2020-11-26 18:45:53 main:581] : INFO : Epoch 72 | loss: 0.063354 | val_loss: 0.0633464 | Time: 3154.15 ms [2020-11-26 18:45:56 main:581] : INFO : Epoch 73 | loss: 0.0633684 | val_loss: 0.0633421 | Time: 3163.59 ms [2020-11-26 18:45:59 main:581] : INFO : Epoch 74 | loss: 0.0633629 | val_loss: 0.0633741 | Time: 3151.74 ms [2020-11-26 18:46:03 main:581] : INFO : Epoch 75 | loss: 0.0633886 | val_loss: 0.0633619 | Time: 3021.81 ms [2020-11-26 18:46:06 main:581] : INFO : Epoch 76 | loss: 0.0633898 | val_loss: 0.0633628 | Time: 3020.16 ms [2020-11-26 18:46:09 main:581] : INFO : Epoch 77 | loss: 0.0633924 | val_loss: 0.0633704 | Time: 3155.88 ms [2020-11-26 18:46:12 main:581] : INFO : Epoch 78 | loss: 0.0633898 | val_loss: 0.0634126 | Time: 3077.19 ms [2020-11-26 18:46:15 main:581] : INFO : Epoch 79 | loss: 0.0634233 | val_loss: 0.0633985 | Time: 3022.43 ms [2020-11-26 18:46:18 main:581] : INFO : Epoch 80 | loss: 0.0634435 | val_loss: 0.0634055 | Time: 3069.29 ms [2020-11-26 18:46:21 main:581] : INFO : Epoch 81 | loss: 0.0634404 | val_loss: 0.0634263 | Time: 3134.72 ms [2020-11-26 18:46:24 main:581] : INFO : Epoch 82 | loss: 0.063449 | val_loss: 0.0634589 | Time: 2988.87 ms [2020-11-26 18:46:27 main:581] : INFO : Epoch 83 | loss: 0.0634956 | val_loss: 0.0634785 | Time: 3002.64 ms [2020-11-26 18:46:30 main:581] : INFO : Epoch 84 | loss: 0.063543 | val_loss: 0.063553 | Time: 2968.99 ms [2020-11-26 18:46:33 main:581] : INFO : Epoch 85 | loss: 0.0635755 | val_loss: 0.0635713 | Time: 3149.47 ms [2020-11-26 18:46:36 main:581] : INFO : Epoch 86 | loss: 0.0635771 | val_loss: 0.0635562 | Time: 3104.64 ms [2020-11-26 18:46:39 main:581] : INFO : Epoch 87 | loss: 0.0635946 | val_loss: 0.0635618 | Time: 3007.04 ms [2020-11-26 18:46:42 main:581] : INFO : Epoch 88 | loss: 0.0635959 | val_loss: 0.0636138 | Time: 3006.84 ms [2020-11-26 18:46:45 main:581] : INFO : Epoch 89 | loss: 0.0636279 | val_loss: 0.0636285 | Time: 3064.3 ms [2020-11-26 18:46:48 main:581] : INFO : Epoch 90 | loss: 0.0636385 | val_loss: 0.0636522 | Time: 3015.16 ms [2020-11-26 18:46:51 main:581] : INFO : Epoch 91 | loss: 0.0637294 | val_loss: 0.0637367 | Time: 3091.89 ms [2020-11-26 18:46:55 main:581] : INFO : Epoch 92 | loss: 0.0637607 | val_loss: 0.0637711 | Time: 3117.77 ms [2020-11-26 18:46:58 main:581] : INFO : Epoch 93 | loss: 0.0639323 | val_loss: 0.063984 | Time: 3106.45 ms [2020-11-26 18:47:01 main:581] : INFO : Epoch 94 | loss: 0.0640242 | val_loss: 0.0639643 | Time: 3092.55 ms [2020-11-26 18:47:04 main:581] : INFO : Epoch 95 | loss: 0.0639475 | val_loss: 0.0639314 | Time: 3071.74 ms [2020-11-26 18:47:07 main:581] : INFO : Epoch 96 | loss: 0.0639361 | val_loss: 0.0639415 | Time: 3082.11 ms [2020-11-26 18:47:10 main:581] : INFO : Epoch 97 | loss: 0.0638967 | val_loss: 0.063861 | Time: 3061.44 ms [2020-11-26 18:47:13 main:581] : INFO : Epoch 98 | loss: 0.0639163 | val_loss: 0.0639783 | Time: 3052.29 ms [2020-11-26 18:47:16 main:581] : INFO : Epoch 99 | loss: 0.0639734 | val_loss: 0.0639433 | Time: 3067.34 ms [2020-11-26 18:47:19 main:581] : INFO : Epoch 100 | loss: 0.0639447 | val_loss: 0.0639362 | Time: 3046.68 ms [2020-11-26 18:47:22 main:581] : INFO : Epoch 101 | loss: 0.0639527 | val_loss: 0.0639527 | Time: 2985.64 ms [2020-11-26 18:47:25 main:581] : INFO : Epoch 102 | loss: 0.0639344 | val_loss: 0.063905 | Time: 3030.28 ms [2020-11-26 18:47:28 main:581] : INFO : Epoch 103 | loss: 0.0639344 | val_loss: 0.0638645 | Time: 2982.17 ms [2020-11-26 18:47:31 main:581] : INFO : Epoch 104 | loss: 0.0638925 | val_loss: 0.0638776 | Time: 2983.36 ms [2020-11-26 18:47:34 main:581] : INFO : Epoch 105 | loss: 0.0638926 | val_loss: 0.0638666 | Time: 2970.59 ms [2020-11-26 18:47:37 main:581] : INFO : Epoch 106 | loss: 0.0638898 | val_loss: 0.063871 | Time: 2977.59 ms [2020-11-26 18:47:40 main:581] : INFO : Epoch 107 | loss: 0.063896 | val_loss: 0.0638739 | Time: 3014.61 ms [2020-11-26 18:47:43 main:581] : INFO : Epoch 108 | loss: 0.0638931 | val_loss: 0.0638599 | Time: 3005.39 ms [2020-11-26 18:47:46 main:581] : INFO : Epoch 109 | loss: 0.063918 | val_loss: 0.0639446 | Time: 3022.49 ms [2020-11-26 18:47:49 main:581] : INFO : Epoch 110 | loss: 0.0639586 | val_loss: 0.0639474 | Time: 2992.07 ms [2020-11-26 18:47:52 main:581] : INFO : Epoch 111 | loss: 0.0639412 | val_loss: 0.0639221 | Time: 3003.87 ms [2020-11-26 18:47:55 main:581] : INFO : Epoch 112 | loss: 0.0639363 | val_loss: 0.0639329 | Time: 2972.01 ms [2020-11-26 18:47:58 main:581] : INFO : Epoch 113 | loss: 0.0639638 | val_loss: 0.0639678 | Time: 3022.61 ms [2020-11-26 18:48:01 main:581] : INFO : Epoch 114 | loss: 0.0639571 | val_loss: 0.0639486 | Time: 3051.43 ms [2020-11-26 18:48:04 main:581] : INFO : Epoch 115 | loss: 0.0639585 | val_loss: 0.063941 | Time: 3259.76 ms [2020-11-26 18:48:07 main:581] : INFO : Epoch 116 | loss: 0.0638407 | val_loss: 0.0638142 | Time: 2968.71 ms [2020-11-26 18:48:10 main:581] : INFO : Epoch 117 | loss: 0.0637478 | val_loss: 0.0637334 | Time: 3107.83 ms [2020-11-26 18:48:13 main:581] : INFO : Epoch 118 | loss: 0.0637142 | val_loss: 0.0636888 | Time: 3020.66 ms [2020-11-26 18:48:17 main:581] : INFO : Epoch 119 | loss: 0.0636987 | val_loss: 0.0636937 | Time: 3120.75 ms [2020-11-26 18:48:20 main:581] : INFO : Epoch 120 | loss: 0.0637005 | val_loss: 0.0636971 | Time: 3060.28 ms [2020-11-26 18:48:23 main:581] : INFO : Epoch 121 | loss: 0.0636849 | val_loss: 0.0636568 | Time: 3109.69 ms [2020-11-26 18:48:26 main:581] : INFO : Epoch 122 | loss: 0.0636709 | val_loss: 0.0636635 | Time: 3016.64 ms [2020-11-26 18:48:29 main:581] : INFO : Epoch 123 | loss: 0.0637018 | val_loss: 0.0637656 | Time: 3000.25 ms [2020-11-26 18:48:32 main:581] : INFO : Epoch 124 | loss: 0.0637554 | val_loss: 0.0637687 | Time: 3101.86 ms [2020-11-26 18:48:35 main:581] : INFO : Epoch 125 | loss: 0.0637548 | val_loss: 0.0637468 | Time: 3019.36 ms [2020-11-26 18:48:38 main:581] : INFO : Epoch 126 | loss: 0.0637616 | val_loss: 0.0637785 | Time: 3039.93 ms [2020-11-26 18:48:41 main:581] : INFO : Epoch 127 | loss: 0.0637604 | val_loss: 0.0637439 | Time: 3042.95 ms [2020-11-26 18:48:44 main:581] : INFO : Epoch 128 | loss: 0.0637641 | val_loss: 0.0637314 | Time: 3114.28 ms [2020-11-26 18:48:47 main:581] : INFO : Epoch 129 | loss: 0.063757 | val_loss: 0.0637483 | Time: 3038.5 ms [2020-11-26 18:48:50 main:581] : INFO : Epoch 130 | loss: 0.0637626 | val_loss: 0.063751 | Time: 3209.9 ms [2020-11-26 18:48:53 main:581] : INFO : Epoch 131 | loss: 0.0637609 | val_loss: 0.0637507 | Time: 3139.48 ms [2020-11-26 18:48:57 main:581] : INFO : Epoch 132 | loss: 0.0637528 | val_loss: 0.0637276 | Time: 3007.69 ms [2020-11-26 18:49:00 main:581] : INFO : Epoch 133 | loss: 0.0637566 | val_loss: 0.0637541 | Time: 3060.99 ms [2020-11-26 18:49:03 main:581] : INFO : Epoch 134 | loss: 0.0637461 | val_loss: 0.0637501 | Time: 3181.48 ms [2020-11-26 18:49:06 main:581] : INFO : Epoch 135 | loss: 0.0637491 | val_loss: 0.0637334 | Time: 3141.86 ms [2020-11-26 18:49:09 main:581] : INFO : Epoch 136 | loss: 0.0637407 | val_loss: 0.0637138 | Time: 3035.72 ms [2020-11-26 18:49:12 main:581] : INFO : Epoch 137 | loss: 0.063739 | val_loss: 0.0637281 | Time: 3067.39 ms [2020-11-26 18:49:15 main:581] : INFO : Epoch 138 | loss: 0.0637431 | val_loss: 0.0637115 | Time: 3114.83 ms [2020-11-26 18:49:18 main:581] : INFO : Epoch 139 | loss: 0.0637295 | val_loss: 0.0637109 | Time: 3068.02 ms [2020-11-26 18:49:21 main:581] : INFO : Epoch 140 | loss: 0.0637337 | val_loss: 0.0637328 | Time: 3135.26 ms [2020-11-26 18:49:24 main:581] : INFO : Epoch 141 | loss: 0.0637385 | val_loss: 0.0637285 | Time: 3065.15 ms [2020-11-26 18:49:27 main:581] : INFO : Epoch 142 | loss: 0.0637412 | val_loss: 0.0637258 | Time: 3046.86 ms [2020-11-26 18:49:30 main:581] : INFO : Epoch 143 | loss: 0.0637353 | val_loss: 0.0637298 | Time: 2979.82 ms [2020-11-26 18:49:33 main:581] : INFO : Epoch 144 | loss: 0.0637339 | val_loss: 0.0637178 | Time: 3082.07 ms [2020-11-26 18:49:37 main:581] : INFO : Epoch 145 | loss: 0.063737 | val_loss: 0.0637325 | Time: 3024.45 ms [2020-11-26 18:49:40 main:581] : INFO : Epoch 146 | loss: 0.0637421 | val_loss: 0.0637391 | Time: 3096.21 ms [2020-11-26 18:49:43 main:581] : INFO : Epoch 147 | loss: 0.0637551 | val_loss: 0.063804 | Time: 3102.95 ms [2020-11-26 18:49:46 main:581] : INFO : Epoch 148 | loss: 0.0638119 | val_loss: 0.06381 | Time: 3087.69 ms [2020-11-26 18:49:49 main:581] : INFO : Epoch 149 | loss: 0.0638126 | val_loss: 0.0638141 | Time: 3050.41 ms [2020-11-26 18:49:52 main:581] : INFO : Epoch 150 | loss: 0.0638109 | val_loss: 0.0637954 | Time: 3181.13 ms [2020-11-26 18:49:55 main:581] : INFO : Epoch 151 | loss: 0.0638099 | val_loss: 0.0638167 | Time: 3041.48 ms [2020-11-26 18:49:58 main:581] : INFO : Epoch 152 | loss: 0.0638099 | val_loss: 0.0637749 | Time: 3062.1 ms [2020-11-26 18:50:01 main:581] : INFO : Epoch 153 | loss: 0.0637876 | val_loss: 0.0637781 | Time: 3025.45 ms [2020-11-26 18:50:04 main:581] : INFO : Epoch 154 | loss: 0.0637901 | val_loss: 0.0637913 | Time: 3085.2 ms [2020-11-26 18:50:07 main:581] : INFO : Epoch 155 | loss: 0.0637792 | val_loss: 0.0637598 | Time: 3069.09 ms [2020-11-26 18:50:10 main:581] : INFO : Epoch 156 | loss: 0.063761 | val_loss: 0.0637489 | Time: 3105.86 ms [2020-11-26 18:50:13 main:581] : INFO : Epoch 157 | loss: 0.0637608 | val_loss: 0.063746 | Time: 3009.92 ms [2020-11-26 18:50:17 main:581] : INFO : Epoch 158 | loss: 0.0637411 | val_loss: 0.0637022 | Time: 3158.34 ms [2020-11-26 18:50:20 main:581] : INFO : Epoch 159 | loss: 0.0637262 | val_loss: 0.0637154 | Time: 2998.22 ms [2020-11-26 18:50:23 main:581] : INFO : Epoch 160 | loss: 0.0637232 | val_loss: 0.0636979 | Time: 2990.72 ms [2020-11-26 18:50:26 main:581] : INFO : Epoch 161 | loss: 0.0637307 | val_loss: 0.0637244 | Time: 2995.62 ms [2020-11-26 18:50:29 main:581] : INFO : Epoch 162 | loss: 0.0637271 | val_loss: 0.0637221 | Time: 3157.65 ms [2020-11-26 18:50:32 main:581] : INFO : Epoch 163 | loss: 0.0637247 | val_loss: 0.0637143 | Time: 3004.91 ms [2020-11-26 18:50:35 main:581] : INFO : Epoch 164 | loss: 0.0637298 | val_loss: 0.0637116 | Time: 2984.26 ms [2020-11-26 18:50:38 main:581] : INFO : Epoch 165 | loss: 0.0637307 | val_loss: 0.0637251 | Time: 2960.84 ms [2020-11-26 18:50:41 main:581] : INFO : Epoch 166 | loss: 0.0637246 | val_loss: 0.063716 | Time: 3005.3 ms [2020-11-26 18:50:44 main:581] : INFO : Epoch 167 | loss: 0.0637247 | val_loss: 0.0637112 | Time: 3075.41 ms [2020-11-26 18:50:47 main:581] : INFO : Epoch 168 | loss: 0.0637438 | val_loss: 0.063724 | Time: 3149.05 ms [2020-11-26 18:50:50 main:581] : INFO : Epoch 169 | loss: 0.0637427 | val_loss: 0.0637221 | Time: 3091.03 ms [2020-11-26 18:50:53 main:581] : INFO : Epoch 170 | loss: 0.063751 | val_loss: 0.0637471 | Time: 3009.67 ms [2020-11-26 18:50:56 main:581] : INFO : Epoch 171 | loss: 0.06376 | val_loss: 0.0637395 | Time: 3017.03 ms [2020-11-26 18:50:59 main:581] : INFO : Epoch 172 | loss: 0.0637569 | val_loss: 0.0637689 | Time: 3151.92 ms [2020-11-26 18:51:02 main:581] : INFO : Epoch 173 | loss: 0.0637554 | val_loss: 0.0637548 | Time: 3112.66 ms [2020-11-26 18:51:05 main:581] : INFO : Epoch 174 | loss: 0.0637594 | val_loss: 0.0637751 | Time: 2979.59 ms [2020-11-26 18:51:08 main:581] : INFO : Epoch 175 | loss: 0.0637716 | val_loss: 0.0637705 | Time: 3013.82 ms [2020-11-26 18:51:11 main:581] : INFO : Epoch 176 | loss: 0.0637699 | val_loss: 0.0637722 | Time: 3080.98 ms [2020-11-26 18:51:15 main:581] : INFO : Epoch 177 | loss: 0.0637601 | val_loss: 0.0637478 | Time: 3180.08 ms [2020-11-26 18:51:18 main:581] : INFO : Epoch 178 | loss: 0.0637587 | val_loss: 0.0637451 | Time: 3129.64 ms [2020-11-26 18:51:21 main:581] : INFO : Epoch 179 | loss: 0.0637581 | val_loss: 0.0637707 | Time: 2984.2 ms [2020-11-26 18:51:24 main:581] : INFO : Epoch 180 | loss: 0.063754 | val_loss: 0.0637457 | Time: 3098.48 ms [2020-11-26 18:51:27 main:581] : INFO : Epoch 181 | loss: 0.0637543 | val_loss: 0.0637398 | Time: 3052.41 ms [2020-11-26 18:51:30 main:581] : INFO : Epoch 182 | loss: 0.0637549 | val_loss: 0.0637328 | Time: 3116.63 ms [2020-11-26 18:51:33 main:581] : INFO : Epoch 183 | loss: 0.0637541 | val_loss: 0.0637657 | Time: 3087.22 ms [2020-11-26 18:51:36 main:581] : INFO : Epoch 184 | loss: 0.0637562 | val_loss: 0.0637408 | Time: 3090.34 ms [2020-11-26 18:51:39 main:581] : INFO : Epoch 185 | loss: 0.0637525 | val_loss: 0.0637517 | Time: 3002.66 ms [2020-11-26 18:51:42 main:581] : INFO : Epoch 186 | loss: 0.0637548 | val_loss: 0.0637529 | Time: 3051.96 ms [2020-11-26 18:51:45 main:581] : INFO : Epoch 187 | loss: 0.0637528 | val_loss: 0.0637501 | Time: 3045.11 ms [2020-11-26 18:51:48 main:581] : INFO : Epoch 188 | loss: 0.0637516 | val_loss: 0.0637424 | Time: 3036.11 ms [2020-11-26 18:51:51 main:581] : INFO : Epoch 189 | loss: 0.0637484 | val_loss: 0.0637342 | Time: 3188.4 ms [2020-11-26 18:51:55 main:581] : INFO : Epoch 190 | loss: 0.0637533 | val_loss: 0.0637351 | Time: 3072.15 ms [2020-11-26 18:51:58 main:581] : INFO : Epoch 191 | loss: 0.0637514 | val_loss: 0.0637377 | Time: 3050.04 ms [2020-11-26 18:52:01 main:581] : INFO : Epoch 192 | loss: 0.0637511 | val_loss: 0.063737 | Time: 3043.6 ms [2020-11-26 18:52:01 main:604] : INFO : Saving trained model to model-final.pt, val_loss 0.063737 [2020-11-26 18:52:01 main:610] : INFO : Saving end state to config to file [2020-11-26 18:52:01 main:615] : INFO : Success, exiting.. 18:52:01 (15702): 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)