Task 3074838
| Name | rand_automata_0025-1606117988-22454-91_0 |
| Workunit | 1403103 |
| Created | 26 Nov 2020, 20:35:14 UTC |
| Sent | 26 Nov 2020, 20:45:00 UTC |
| Report deadline | 3 Dec 2020, 20:45:00 UTC |
| Received | 26 Nov 2020, 20:55:20 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 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 | 9.99 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 15:45:18 main:442] : INFO : Set logging level to 1 [2020-11-26 15:45:18 main:448] : INFO : Running in BOINC Client mode [2020-11-26 15:45:18 main:451] : INFO : Resolving all filenames [2020-11-26 15:45:18 main:459] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-train-val-dataset.hdf5 (exists = 1) [2020-11-26 15:45:18 main:459] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-1606117988-22454-91_0_r1932572863_1 (exists = 0) [2020-11-26 15:45:18 main:459] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-1606117988-22454-91_0_r1932572863_0 (exists = 0) [2020-11-26 15:45:18 main:459] : INFO : Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-1606117988-22454-91 (exists = 1) [2020-11-26 15:45:18 main:459] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-26 15:45:18 main:479] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-train-val-dataset.hdf5 [2020-11-26 15:45:18 main:481] : INFO : Configuration: [2020-11-26 15:45:18 main:482] : INFO : Model type: LSTM [2020-11-26 15:45:18 main:483] : INFO : Validation Loss Threshold: 0.0001 [2020-11-26 15:45:18 main:484] : INFO : Max Epochs: 192 [2020-11-26 15:45:18 main:485] : INFO : Batch Size: 32 [2020-11-26 15:45:18 main:486] : INFO : Learning Rate: 0.001 [2020-11-26 15:45:18 main:487] : INFO : Patience: 10 [2020-11-26 15:45:18 main:488] : INFO : Hidden Width: 64 [2020-11-26 15:45:18 main:489] : INFO : # Recurrent Layers: 4 [2020-11-26 15:45:18 main:490] : INFO : # Backend Layers: 2 [2020-11-26 15:45:18 main:491] : INFO : # Threads: 1 [2020-11-26 15:45:18 main:493] : INFO : Preparing Dataset [2020-11-26 15:45:18 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-train-val-dataset.hdf5 into memory [2020-11-26 15:45:18 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-train-val-dataset.hdf5 into memory [2020-11-26 15:45:20 load:106] : INFO : Successfully loaded dataset of 4096 examples into memory. [2020-11-26 15:45:20 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-train-val-dataset.hdf5 into memory [2020-11-26 15:45:20 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-train-val-dataset.hdf5 into memory [2020-11-26 15:45:20 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-26 15:45:20 main:501] : INFO : Creating Model [2020-11-26 15:45:20 main:514] : INFO : Preparing config file [2020-11-26 15:45:20 main:526] : INFO : Creating new config file [2020-11-26 15:45:20 main:545] : INFO : This is a continuation WU, loading previous network [2020-11-26 15:45:20 main:566] : INFO : Loading DataLoader into Memory [2020-11-26 15:45:20 main:569] : INFO : Starting Training [2020-11-26 15:45:24 main:581] : INFO : Epoch 1 | loss: 0.05776 | val_loss: 0.0577933 | Time: 3980.7 ms [2020-11-26 15:45:27 main:581] : INFO : Epoch 2 | loss: 0.0576495 | val_loss: 0.0575457 | Time: 3053.25 ms [2020-11-26 15:45:31 main:581] : INFO : Epoch 3 | loss: 0.0573562 | val_loss: 0.057268 | Time: 3061.24 ms [2020-11-26 15:45:34 main:581] : INFO : Epoch 4 | loss: 0.0571107 | val_loss: 0.0571565 | Time: 3028.58 ms [2020-11-26 15:45:37 main:581] : INFO : Epoch 5 | loss: 0.0569616 | val_loss: 0.0568983 | Time: 3052.29 ms [2020-11-26 15:45:40 main:581] : INFO : Epoch 6 | loss: 0.0567204 | val_loss: 0.0567202 | Time: 2989.21 ms [2020-11-26 15:45:43 main:581] : INFO : Epoch 7 | loss: 0.0564886 | val_loss: 0.056435 | Time: 3064.47 ms [2020-11-26 15:45:46 main:581] : INFO : Epoch 8 | loss: 0.0561474 | val_loss: 0.0560686 | Time: 2989.27 ms [2020-11-26 15:45:49 main:581] : INFO : Epoch 9 | loss: 0.055698 | val_loss: 0.0556345 | Time: 3042.43 ms [2020-11-26 15:45:52 main:581] : INFO : Epoch 10 | loss: 0.0552834 | val_loss: 0.0551508 | Time: 3175.86 ms [2020-11-26 15:45:55 main:581] : INFO : Epoch 11 | loss: 0.0549743 | val_loss: 0.0549308 | Time: 3158.22 ms [2020-11-26 15:45:58 main:581] : INFO : Epoch 12 | loss: 0.0546171 | val_loss: 0.0546384 | Time: 3074.24 ms [2020-11-26 15:46:01 main:581] : INFO : Epoch 13 | loss: 0.0541575 | val_loss: 0.0540756 | Time: 3013.54 ms [2020-11-26 15:46:04 main:581] : INFO : Epoch 14 | loss: 0.0535512 | val_loss: 0.0534531 | Time: 3014.21 ms [2020-11-26 15:46:07 main:581] : INFO : Epoch 15 | loss: 0.0528356 | val_loss: 0.0527358 | Time: 3006.41 ms [2020-11-26 15:46:10 main:581] : INFO : Epoch 16 | loss: 0.0520718 | val_loss: 0.0521501 | Time: 3006.25 ms [2020-11-26 15:46:13 main:581] : INFO : Epoch 17 | loss: 0.0514863 | val_loss: 0.0518782 | Time: 3010.23 ms [2020-11-26 15:46:16 main:581] : INFO : Epoch 18 | loss: 0.051889 | val_loss: 0.0522559 | Time: 3049.25 ms [2020-11-26 15:46:19 main:581] : INFO : Epoch 19 | loss: 0.0520202 | val_loss: 0.0522611 | Time: 3004.65 ms [2020-11-26 15:46:22 main:581] : INFO : Epoch 20 | loss: 0.0520923 | val_loss: 0.0520937 | Time: 3010.25 ms [2020-11-26 15:46:25 main:581] : INFO : Epoch 21 | loss: 0.0516883 | val_loss: 0.0518144 | Time: 3134.6 ms [2020-11-26 15:46:28 main:581] : INFO : Epoch 22 | loss: 0.0513983 | val_loss: 0.0515913 | Time: 3055.73 ms [2020-11-26 15:46:31 main:581] : INFO : Epoch 23 | loss: 0.0511696 | val_loss: 0.0515534 | Time: 3004.32 ms [2020-11-26 15:46:34 main:581] : INFO : Epoch 24 | loss: 0.0515077 | val_loss: 0.0515662 | Time: 3038.63 ms [2020-11-26 15:46:38 main:581] : INFO : Epoch 25 | loss: 0.0510712 | val_loss: 0.0511765 | Time: 3138.03 ms [2020-11-26 15:46:41 main:581] : INFO : Epoch 26 | loss: 0.0507293 | val_loss: 0.0509853 | Time: 3005.63 ms [2020-11-26 15:46:44 main:581] : INFO : Epoch 27 | loss: 0.0503028 | val_loss: 0.0504762 | Time: 3037.75 ms [2020-11-26 15:46:47 main:581] : INFO : Epoch 28 | loss: 0.0497348 | val_loss: 0.0498836 | Time: 3048.99 ms [2020-11-26 15:46:50 main:581] : INFO : Epoch 29 | loss: 0.0492255 | val_loss: 0.0493422 | Time: 2990.79 ms [2020-11-26 15:46:53 main:581] : INFO : Epoch 30 | loss: 0.0487484 | val_loss: 0.0489459 | Time: 3014.59 ms [2020-11-26 15:46:56 main:581] : INFO : Epoch 31 | loss: 0.0486347 | val_loss: 0.0487385 | Time: 3093.05 ms [2020-11-26 15:46:59 main:581] : INFO : Epoch 32 | loss: 0.0485485 | val_loss: 0.0492727 | Time: 3083.19 ms [2020-11-26 15:47:02 main:581] : INFO : Epoch 33 | loss: 0.0495407 | val_loss: 0.0495456 | Time: 3076.97 ms [2020-11-26 15:47:05 main:581] : INFO : Epoch 34 | loss: 0.0495534 | val_loss: 0.0505172 | Time: 3007.06 ms [2020-11-26 15:47:08 main:581] : INFO : Epoch 35 | loss: 0.050483 | val_loss: 0.0509859 | Time: 3009.62 ms [2020-11-26 15:47:11 main:581] : INFO : Epoch 36 | loss: 0.0502528 | val_loss: 0.0503269 | Time: 2982.86 ms [2020-11-26 15:47:14 main:581] : INFO : Epoch 37 | loss: 0.0498437 | val_loss: 0.049851 | Time: 3078.2 ms [2020-11-26 15:47:17 main:581] : INFO : Epoch 38 | loss: 0.0497693 | val_loss: 0.0511148 | Time: 3035.85 ms [2020-11-26 15:47:20 main:581] : INFO : Epoch 39 | loss: 0.0512456 | val_loss: 0.0520565 | Time: 2967.5 ms [2020-11-26 15:47:23 main:581] : INFO : Epoch 40 | loss: 0.0516506 | val_loss: 0.0518634 | Time: 3054.08 ms [2020-11-26 15:47:26 main:581] : INFO : Epoch 41 | loss: 0.0514575 | val_loss: 0.0517249 | Time: 3161.26 ms [2020-11-26 15:47:29 main:581] : INFO : Epoch 42 | loss: 0.0512943 | val_loss: 0.0515836 | Time: 2991.77 ms [2020-11-26 15:47:32 main:581] : INFO : Epoch 43 | loss: 0.0514192 | val_loss: 0.0520441 | Time: 3010.75 ms [2020-11-26 15:47:35 main:581] : INFO : Epoch 44 | loss: 0.0516138 | val_loss: 0.0516497 | Time: 3021.26 ms [2020-11-26 15:47:38 main:581] : INFO : Epoch 45 | loss: 0.0513565 | val_loss: 0.0515364 | Time: 3005.99 ms [2020-11-26 15:47:41 main:581] : INFO : Epoch 46 | loss: 0.0511482 | val_loss: 0.0513625 | Time: 3000.31 ms [2020-11-26 15:47:45 main:581] : INFO : Epoch 47 | loss: 0.0510093 | val_loss: 0.0511506 | Time: 3266.36 ms [2020-11-26 15:47:48 main:581] : INFO : Epoch 48 | loss: 0.0510615 | val_loss: 0.0511503 | Time: 3136.61 ms [2020-11-26 15:47:51 main:581] : INFO : Epoch 49 | loss: 0.0520795 | val_loss: 0.0523071 | Time: 2991.02 ms [2020-11-26 15:47:54 main:581] : INFO : Epoch 50 | loss: 0.0519757 | val_loss: 0.0522349 | Time: 3020.76 ms [2020-11-26 15:47:57 main:581] : INFO : Epoch 51 | loss: 0.0518254 | val_loss: 0.0520476 | Time: 3073.42 ms [2020-11-26 15:48:00 main:581] : INFO : Epoch 52 | loss: 0.051691 | val_loss: 0.0519599 | Time: 2989.84 ms [2020-11-26 15:48:03 main:581] : INFO : Epoch 53 | loss: 0.0515907 | val_loss: 0.0518499 | Time: 3114.45 ms [2020-11-26 15:48:06 main:581] : INFO : Epoch 54 | loss: 0.0514639 | val_loss: 0.0517029 | Time: 3336.37 ms [2020-11-26 15:48:09 main:581] : INFO : Epoch 55 | loss: 0.0513397 | val_loss: 0.0516154 | Time: 3043.96 ms [2020-11-26 15:48:12 main:581] : INFO : Epoch 56 | loss: 0.051414 | val_loss: 0.0517701 | Time: 3059.61 ms [2020-11-26 15:48:15 main:581] : INFO : Epoch 57 | loss: 0.0513531 | val_loss: 0.0516217 | Time: 3000.76 ms [2020-11-26 15:48:18 main:581] : INFO : Epoch 58 | loss: 0.0511872 | val_loss: 0.0513937 | Time: 3009.87 ms [2020-11-26 15:48:21 main:581] : INFO : Epoch 59 | loss: 0.0510093 | val_loss: 0.0512334 | Time: 3102.07 ms [2020-11-26 15:48:24 main:581] : INFO : Epoch 60 | loss: 0.0510264 | val_loss: 0.0512906 | Time: 2985.41 ms [2020-11-26 15:48:27 main:581] : INFO : Epoch 61 | loss: 0.0509052 | val_loss: 0.0511075 | Time: 3001.61 ms [2020-11-26 15:48:30 main:581] : INFO : Epoch 62 | loss: 0.0507821 | val_loss: 0.0509848 | Time: 3037.83 ms [2020-11-26 15:48:33 main:581] : INFO : Epoch 63 | loss: 0.0508117 | val_loss: 0.0509665 | Time: 2994.14 ms [2020-11-26 15:48:37 main:581] : INFO : Epoch 64 | loss: 0.0507057 | val_loss: 0.0509254 | Time: 3043.48 ms [2020-11-26 15:48:40 main:581] : INFO : Epoch 65 | loss: 0.0506538 | val_loss: 0.0509563 | Time: 3035.08 ms [2020-11-26 15:48:43 main:581] : INFO : Epoch 66 | loss: 0.0506678 | val_loss: 0.0507968 | Time: 3121 ms [2020-11-26 15:48:46 main:581] : INFO : Epoch 67 | loss: 0.0504829 | val_loss: 0.0506198 | Time: 3227.94 ms [2020-11-26 15:48:49 main:581] : INFO : Epoch 68 | loss: 0.0509172 | val_loss: 0.0510778 | Time: 2984.72 ms [2020-11-26 15:48:52 main:581] : INFO : Epoch 69 | loss: 0.0509484 | val_loss: 0.0509374 | Time: 2995.16 ms [2020-11-26 15:48:55 main:581] : INFO : Epoch 70 | loss: 0.0506872 | val_loss: 0.0507779 | Time: 3123.13 ms [2020-11-26 15:48:58 main:581] : INFO : Epoch 71 | loss: 0.0504256 | val_loss: 0.0505786 | Time: 3088.02 ms [2020-11-26 15:49:01 main:581] : INFO : Epoch 72 | loss: 0.0502835 | val_loss: 0.0505486 | Time: 3086.97 ms [2020-11-26 15:49:04 main:581] : INFO : Epoch 73 | loss: 0.0501023 | val_loss: 0.0502695 | Time: 2992.13 ms [2020-11-26 15:49:07 main:581] : INFO : Epoch 74 | loss: 0.0499439 | val_loss: 0.0500309 | Time: 3000.88 ms [2020-11-26 15:49:10 main:581] : INFO : Epoch 75 | loss: 0.0495957 | val_loss: 0.0497583 | Time: 3221.59 ms [2020-11-26 15:49:13 main:581] : INFO : Epoch 76 | loss: 0.0493905 | val_loss: 0.0500391 | Time: 3087.33 ms [2020-11-26 15:49:16 main:581] : INFO : Epoch 77 | loss: 0.0497639 | val_loss: 0.0499982 | Time: 2989.03 ms [2020-11-26 15:49:20 main:581] : INFO : Epoch 78 | loss: 0.049533 | val_loss: 0.0498155 | Time: 3048.41 ms [2020-11-26 15:49:23 main:581] : INFO : Epoch 79 | loss: 0.0493073 | val_loss: 0.049584 | Time: 2997.48 ms [2020-11-26 15:49:26 main:581] : INFO : Epoch 80 | loss: 0.0490862 | val_loss: 0.04935 | Time: 2996.43 ms [2020-11-26 15:49:29 main:581] : INFO : Epoch 81 | loss: 0.0489082 | val_loss: 0.0491396 | Time: 3059.52 ms [2020-11-26 15:49:32 main:581] : INFO : Epoch 82 | loss: 0.0492908 | val_loss: 0.0496865 | Time: 3031.21 ms [2020-11-26 15:49:35 main:581] : INFO : Epoch 83 | loss: 0.0493062 | val_loss: 0.0496001 | Time: 3022.6 ms [2020-11-26 15:49:38 main:581] : INFO : Epoch 84 | loss: 0.0494157 | val_loss: 0.0496377 | Time: 3119.56 ms [2020-11-26 15:49:41 main:581] : INFO : Epoch 85 | loss: 0.0493385 | val_loss: 0.0495543 | Time: 3210.43 ms [2020-11-26 15:49:44 main:581] : INFO : Epoch 86 | loss: 0.0491274 | val_loss: 0.0493848 | Time: 3072.48 ms [2020-11-26 15:49:47 main:581] : INFO : Epoch 87 | loss: 0.0487368 | val_loss: 0.0489521 | Time: 3000.77 ms [2020-11-26 15:49:50 main:581] : INFO : Epoch 88 | loss: 0.0491127 | val_loss: 0.049937 | Time: 3069.55 ms [2020-11-26 15:49:53 main:581] : INFO : Epoch 89 | loss: 0.0491398 | val_loss: 0.0493954 | Time: 3068.7 ms [2020-11-26 15:49:56 main:581] : INFO : Epoch 90 | loss: 0.0489469 | val_loss: 0.0494682 | Time: 3008.8 ms [2020-11-26 15:49:59 main:581] : INFO : Epoch 91 | loss: 0.0492105 | val_loss: 0.0495396 | Time: 3057.73 ms [2020-11-26 15:50:02 main:581] : INFO : Epoch 92 | loss: 0.0491297 | val_loss: 0.0492091 | Time: 3147.87 ms [2020-11-26 15:50:05 main:581] : INFO : Epoch 93 | loss: 0.0494291 | val_loss: 0.0498021 | Time: 3058.47 ms [2020-11-26 15:50:09 main:581] : INFO : Epoch 94 | loss: 0.0496399 | val_loss: 0.0496967 | Time: 3068.7 ms [2020-11-26 15:50:11 main:581] : INFO : Epoch 95 | loss: 0.0494306 | val_loss: 0.0495215 | Time: 2971.02 ms [2020-11-26 15:50:14 main:581] : INFO : Epoch 96 | loss: 0.0491775 | val_loss: 0.0492313 | Time: 3006.82 ms [2020-11-26 15:50:18 main:581] : INFO : Epoch 97 | loss: 0.0489825 | val_loss: 0.0490935 | Time: 3028.89 ms [2020-11-26 15:50:21 main:581] : INFO : Epoch 98 | loss: 0.0488271 | val_loss: 0.0488676 | Time: 3138.7 ms [2020-11-26 15:50:24 main:581] : INFO : Epoch 99 | loss: 0.0484693 | val_loss: 0.0485393 | Time: 3004.38 ms [2020-11-26 15:50:27 main:581] : INFO : Epoch 100 | loss: 0.0480786 | val_loss: 0.0486222 | Time: 3328.96 ms [2020-11-26 15:50:30 main:581] : INFO : Epoch 101 | loss: 0.0489464 | val_loss: 0.04892 | Time: 3031.93 ms [2020-11-26 15:50:33 main:581] : INFO : Epoch 102 | loss: 0.0486828 | val_loss: 0.0487484 | Time: 3056.1 ms [2020-11-26 15:50:36 main:581] : INFO : Epoch 103 | loss: 0.0484592 | val_loss: 0.0485889 | Time: 3020.79 ms [2020-11-26 15:50:39 main:581] : INFO : Epoch 104 | loss: 0.048241 | val_loss: 0.0484313 | Time: 2995.18 ms [2020-11-26 15:50:42 main:581] : INFO : Epoch 105 | loss: 0.0479624 | val_loss: 0.0483025 | Time: 3081.17 ms [2020-11-26 15:50:45 main:581] : INFO : Epoch 106 | loss: 0.0477462 | val_loss: 0.0480926 | Time: 3068.19 ms [2020-11-26 15:50:48 main:581] : INFO : Epoch 107 | loss: 0.047598 | val_loss: 0.0479844 | Time: 3149.63 ms [2020-11-26 15:50:52 main:581] : INFO : Epoch 108 | loss: 0.0475839 | val_loss: 0.0484958 | Time: 3338.54 ms [2020-11-26 15:50:55 main:581] : INFO : Epoch 109 | loss: 0.0478906 | val_loss: 0.0482421 | Time: 3053.87 ms [2020-11-26 15:50:58 main:581] : INFO : Epoch 110 | loss: 0.047526 | val_loss: 0.047749 | Time: 2961.43 ms [2020-11-26 15:51:01 main:581] : INFO : Epoch 111 | loss: 0.0473043 | val_loss: 0.0477592 | Time: 2983.95 ms [2020-11-26 15:51:04 main:581] : INFO : Epoch 112 | loss: 0.0472677 | val_loss: 0.0476371 | Time: 3087.15 ms [2020-11-26 15:51:07 main:581] : INFO : Epoch 113 | loss: 0.0474637 | val_loss: 0.0477341 | Time: 3110.71 ms [2020-11-26 15:51:10 main:581] : INFO : Epoch 114 | loss: 0.0472634 | val_loss: 0.0479762 | Time: 3099.19 ms [2020-11-26 15:51:13 main:581] : INFO : Epoch 115 | loss: 0.0475195 | val_loss: 0.0483381 | Time: 2995.84 ms [2020-11-26 15:51:16 main:581] : INFO : Epoch 116 | loss: 0.0480214 | val_loss: 0.0485339 | Time: 3111.71 ms [2020-11-26 15:51:19 main:581] : INFO : Epoch 117 | loss: 0.0479883 | val_loss: 0.0486253 | Time: 2994.85 ms [2020-11-26 15:51:22 main:581] : INFO : Epoch 118 | loss: 0.0488778 | val_loss: 0.0500997 | Time: 3239.59 ms [2020-11-26 15:51:25 main:581] : INFO : Epoch 119 | loss: 0.0502215 | val_loss: 0.0510347 | Time: 3104.34 ms [2020-11-26 15:51:29 main:581] : INFO : Epoch 120 | loss: 0.0518919 | val_loss: 0.0522692 | Time: 3079.63 ms [2020-11-26 15:51:32 main:581] : INFO : Epoch 121 | loss: 0.0525144 | val_loss: 0.053081 | Time: 2959.95 ms [2020-11-26 15:51:35 main:581] : INFO : Epoch 122 | loss: 0.0531371 | val_loss: 0.053487 | Time: 3058.83 ms [2020-11-26 15:51:38 main:581] : INFO : Epoch 123 | loss: 0.0534619 | val_loss: 0.0542723 | Time: 3160.56 ms [2020-11-26 15:51:41 main:581] : INFO : Epoch 124 | loss: 0.0543393 | val_loss: 0.0544487 | Time: 3063.43 ms [2020-11-26 15:51:44 main:581] : INFO : Epoch 125 | loss: 0.0552784 | val_loss: 0.0552998 | Time: 3000.92 ms [2020-11-26 15:51:47 main:581] : INFO : Epoch 126 | loss: 0.0552869 | val_loss: 0.0552898 | Time: 3121.52 ms [2020-11-26 15:51:50 main:581] : INFO : Epoch 127 | loss: 0.0552593 | val_loss: 0.055287 | Time: 3091.97 ms [2020-11-26 15:51:53 main:581] : INFO : Epoch 128 | loss: 0.0552693 | val_loss: 0.0552788 | Time: 3135.55 ms [2020-11-26 15:51:56 main:581] : INFO : Epoch 129 | loss: 0.0551864 | val_loss: 0.0551763 | Time: 3066.87 ms [2020-11-26 15:51:59 main:581] : INFO : Epoch 130 | loss: 0.055138 | val_loss: 0.0551711 | Time: 3170.55 ms [2020-11-26 15:52:02 main:581] : INFO : Epoch 131 | loss: 0.0551016 | val_loss: 0.0551356 | Time: 3035.5 ms [2020-11-26 15:52:05 main:581] : INFO : Epoch 132 | loss: 0.0552066 | val_loss: 0.0555491 | Time: 3063.51 ms [2020-11-26 15:52:09 main:581] : INFO : Epoch 133 | loss: 0.0554344 | val_loss: 0.0555603 | Time: 3015.5 ms [2020-11-26 15:52:12 main:581] : INFO : Epoch 134 | loss: 0.0554153 | val_loss: 0.0555808 | Time: 3020.38 ms [2020-11-26 15:52:15 main:581] : INFO : Epoch 135 | loss: 0.0554099 | val_loss: 0.0555541 | Time: 3019.86 ms [2020-11-26 15:52:18 main:581] : INFO : Epoch 136 | loss: 0.0553789 | val_loss: 0.05565 | Time: 3105.53 ms [2020-11-26 15:52:21 main:581] : INFO : Epoch 137 | loss: 0.0559497 | val_loss: 0.0560788 | Time: 3121.18 ms [2020-11-26 15:52:24 main:581] : INFO : Epoch 138 | loss: 0.0559562 | val_loss: 0.0560939 | Time: 3038.24 ms [2020-11-26 15:52:27 main:581] : INFO : Epoch 139 | loss: 0.0559292 | val_loss: 0.0560578 | Time: 3134.8 ms [2020-11-26 15:52:30 main:581] : INFO : Epoch 140 | loss: 0.0559055 | val_loss: 0.0560311 | Time: 2992.08 ms [2020-11-26 15:52:33 main:581] : INFO : Epoch 141 | loss: 0.0559118 | val_loss: 0.0560239 | Time: 3052.17 ms [2020-11-26 15:52:36 main:581] : INFO : Epoch 142 | loss: 0.0558956 | val_loss: 0.0560166 | Time: 3004.95 ms [2020-11-26 15:52:39 main:581] : INFO : Epoch 143 | loss: 0.0558796 | val_loss: 0.0560235 | Time: 3044.16 ms [2020-11-26 15:52:42 main:581] : INFO : Epoch 144 | loss: 0.0558657 | val_loss: 0.0559784 | Time: 3205.97 ms [2020-11-26 15:52:45 main:581] : INFO : Epoch 145 | loss: 0.0558865 | val_loss: 0.0559757 | Time: 3134.82 ms [2020-11-26 15:52:48 main:581] : INFO : Epoch 146 | loss: 0.0558798 | val_loss: 0.0559675 | Time: 2986.03 ms [2020-11-26 15:52:51 main:581] : INFO : Epoch 147 | loss: 0.0558598 | val_loss: 0.0559714 | Time: 3037.01 ms [2020-11-26 15:52:54 main:581] : INFO : Epoch 148 | loss: 0.0558516 | val_loss: 0.055994 | Time: 3016.76 ms [2020-11-26 15:52:58 main:581] : INFO : Epoch 149 | loss: 0.0558658 | val_loss: 0.0559712 | Time: 3263.51 ms [2020-11-26 15:53:01 main:581] : INFO : Epoch 150 | loss: 0.0558344 | val_loss: 0.0559623 | Time: 3210 ms [2020-11-26 15:53:04 main:581] : INFO : Epoch 151 | loss: 0.0558217 | val_loss: 0.0559715 | Time: 3065.72 ms [2020-11-26 15:53:07 main:581] : INFO : Epoch 152 | loss: 0.055854 | val_loss: 0.0559694 | Time: 3042 ms [2020-11-26 15:53:10 main:581] : INFO : Epoch 153 | loss: 0.055805 | val_loss: 0.0558673 | Time: 2983.25 ms [2020-11-26 15:53:13 main:581] : INFO : Epoch 154 | loss: 0.0557523 | val_loss: 0.055887 | Time: 3038.86 ms [2020-11-26 15:53:16 main:581] : INFO : Epoch 155 | loss: 0.0557471 | val_loss: 0.0558555 | Time: 3053.49 ms [2020-11-26 15:53:19 main:581] : INFO : Epoch 156 | loss: 0.0558117 | val_loss: 0.0559035 | Time: 3077.05 ms [2020-11-26 15:53:22 main:581] : INFO : Epoch 157 | loss: 0.0558221 | val_loss: 0.0558944 | Time: 3144.87 ms [2020-11-26 15:53:25 main:581] : INFO : Epoch 158 | loss: 0.0558 | val_loss: 0.0559367 | Time: 3178.26 ms [2020-11-26 15:53:29 main:581] : INFO : Epoch 159 | loss: 0.0557876 | val_loss: 0.0557811 | Time: 3050.01 ms [2020-11-26 15:53:32 main:581] : INFO : Epoch 160 | loss: 0.0559219 | val_loss: 0.0560817 | Time: 3071.42 ms [2020-11-26 15:53:35 main:581] : INFO : Epoch 161 | loss: 0.0559733 | val_loss: 0.0560913 | Time: 3056.88 ms [2020-11-26 15:53:38 main:581] : INFO : Epoch 162 | loss: 0.0559788 | val_loss: 0.0561711 | Time: 3121.38 ms [2020-11-26 15:53:41 main:581] : INFO : Epoch 163 | loss: 0.0559957 | val_loss: 0.0560701 | Time: 3089.69 ms [2020-11-26 15:53:44 main:581] : INFO : Epoch 164 | loss: 0.0559469 | val_loss: 0.0559903 | Time: 3053.98 ms [2020-11-26 15:53:47 main:581] : INFO : Epoch 165 | loss: 0.05594 | val_loss: 0.0560471 | Time: 3168.22 ms [2020-11-26 15:53:50 main:581] : INFO : Epoch 166 | loss: 0.0559796 | val_loss: 0.0559649 | Time: 3103.84 ms [2020-11-26 15:53:53 main:581] : INFO : Epoch 167 | loss: 0.0560296 | val_loss: 0.0559973 | Time: 3091.71 ms [2020-11-26 15:53:56 main:581] : INFO : Epoch 168 | loss: 0.0560223 | val_loss: 0.0560597 | Time: 3058.87 ms [2020-11-26 15:53:59 main:581] : INFO : Epoch 169 | loss: 0.0559531 | val_loss: 0.0559046 | Time: 3061.18 ms [2020-11-26 15:54:02 main:581] : INFO : Epoch 170 | loss: 0.05603 | val_loss: 0.0561193 | Time: 3037.04 ms [2020-11-26 15:54:05 main:581] : INFO : Epoch 171 | loss: 0.0561021 | val_loss: 0.0559949 | Time: 2942.33 ms [2020-11-26 15:54:08 main:581] : INFO : Epoch 172 | loss: 0.0560481 | val_loss: 0.0559646 | Time: 3100.24 ms [2020-11-26 15:54:11 main:581] : INFO : Epoch 173 | loss: 0.0560099 | val_loss: 0.055985 | Time: 3001.65 ms [2020-11-26 15:54:15 main:581] : INFO : Epoch 174 | loss: 0.0559923 | val_loss: 0.0560206 | Time: 3029.58 ms [2020-11-26 15:54:18 main:581] : INFO : Epoch 175 | loss: 0.0560934 | val_loss: 0.0563469 | Time: 2989.01 ms [2020-11-26 15:54:21 main:581] : INFO : Epoch 176 | loss: 0.0562299 | val_loss: 0.0562984 | Time: 3012.15 ms [2020-11-26 15:54:24 main:581] : INFO : Epoch 177 | loss: 0.0561915 | val_loss: 0.056282 | Time: 3014.24 ms [2020-11-26 15:54:27 main:581] : INFO : Epoch 178 | loss: 0.0561487 | val_loss: 0.0562654 | Time: 3004.17 ms [2020-11-26 15:54:30 main:581] : INFO : Epoch 179 | loss: 0.0561156 | val_loss: 0.056227 | Time: 3050.24 ms [2020-11-26 15:54:33 main:581] : INFO : Epoch 180 | loss: 0.0560739 | val_loss: 0.0562211 | Time: 3073.78 ms [2020-11-26 15:54:36 main:581] : INFO : Epoch 181 | loss: 0.0560698 | val_loss: 0.0561742 | Time: 2993.1 ms [2020-11-26 15:54:39 main:581] : INFO : Epoch 182 | loss: 0.0560611 | val_loss: 0.0561579 | Time: 3069.83 ms [2020-11-26 15:54:42 main:581] : INFO : Epoch 183 | loss: 0.0560124 | val_loss: 0.0561301 | Time: 3033.47 ms [2020-11-26 15:54:45 main:581] : INFO : Epoch 184 | loss: 0.0559672 | val_loss: 0.0560888 | Time: 3235.85 ms [2020-11-26 15:54:48 main:581] : INFO : Epoch 185 | loss: 0.0559402 | val_loss: 0.0560909 | Time: 2995.87 ms [2020-11-26 15:54:51 main:581] : INFO : Epoch 186 | loss: 0.0558989 | val_loss: 0.0560471 | Time: 3085.26 ms [2020-11-26 15:54:54 main:581] : INFO : Epoch 187 | loss: 0.0558539 | val_loss: 0.0559997 | Time: 2985.66 ms [2020-11-26 15:54:57 main:581] : INFO : Epoch 188 | loss: 0.0558242 | val_loss: 0.0559525 | Time: 2982.52 ms [2020-11-26 15:55:00 main:581] : INFO : Epoch 189 | loss: 0.0557955 | val_loss: 0.0559024 | Time: 2990.37 ms [2020-11-26 15:55:03 main:581] : INFO : Epoch 190 | loss: 0.0557606 | val_loss: 0.0558648 | Time: 3010.77 ms [2020-11-26 15:55:06 main:581] : INFO : Epoch 191 | loss: 0.0556987 | val_loss: 0.0558127 | Time: 3111.33 ms [2020-11-26 15:55:09 main:581] : INFO : Epoch 192 | loss: 0.0556524 | val_loss: 0.05579 | Time: 2982.71 ms [2020-11-26 15:55:09 main:604] : INFO : Saving trained model to model-final.pt, val_loss 0.05579 [2020-11-26 15:55:09 main:610] : INFO : Saving end state to config to file [2020-11-26 15:55:09 main:615] : INFO : Success, exiting.. 15:55:09 (15265): 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)