Task 2868262
| Name | rand_automata_0003-1605109695-16432-0_1 |
| Workunit | 1293833 |
| Created | 11 Nov 2020, 15:48:20 UTC |
| Sent | 11 Nov 2020, 23:49:23 UTC |
| Report deadline | 19 Nov 2020, 23:49:23 UTC |
| Received | 13 Nov 2020, 8:44:10 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 3750 |
| Run time | 16 min 45 sec |
| CPU time | 16 min 32 sec |
| Validate state | Valid |
| Credit | 959.40 |
| Device peak FLOPS | 8,880.33 GFLOPS |
| Application version | Machine Learning Dataset Generator (GPU) v9.75 (cuda10200) windows_x86_64 |
| Peak working set size | 1.49 GB |
| Peak swap size | 3.22 GB |
| Peak disk usage | 1.54 GB |
Stderr output
<core_client_version>7.16.11</core_client_version> <![CDATA[ <stderr_txt> Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: GeForce GTX 1080) [2020-11-13 03:27:12 main:435] : INFO : Set logging level to 1 [2020-11-13 03:27:12 main:441] : INFO : Running in BOINC Client mode [2020-11-13 03:27:12 main:444] : INFO : Resolving all filenames [2020-11-13 03:27:12 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0003-train-val-dataset.hdf5 (exists = 1) [2020-11-13 03:27:12 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0003-1605109695-16432-0_1_r1546993560_1 (exists = 0) [2020-11-13 03:27:12 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0003-1605109695-16432-0_1_r1546993560_0 (exists = 0) [2020-11-13 03:27:12 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 0) [2020-11-13 03:27:12 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-13 03:27:12 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/rand_automata_0003-train-val-dataset.hdf5 [2020-11-13 03:27:12 main:474] : INFO : Configuration: [2020-11-13 03:27:12 main:475] : INFO : Model type: LSTM [2020-11-13 03:27:12 main:476] : INFO : Validation Loss Threshold: 0.0001 [2020-11-13 03:27:12 main:477] : INFO : Max Epochs: 192 [2020-11-13 03:27:12 main:478] : INFO : Batch Size: 32 [2020-11-13 03:27:13 main:479] : INFO : Learning Rate: 0.001 [2020-11-13 03:27:13 main:480] : INFO : Patience: 10 [2020-11-13 03:27:13 main:481] : INFO : Hidden Width: 64 [2020-11-13 03:27:13 main:482] : INFO : # Recurrent Layers: 4 [2020-11-13 03:27:13 main:483] : INFO : # Backend Layers: 2 [2020-11-13 03:27:13 main:484] : INFO : # Threads: 1 [2020-11-13 03:27:13 main:486] : INFO : Preparing Dataset [2020-11-13 03:27:13 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0003-train-val-dataset.hdf5 into memory [2020-11-13 03:27:13 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0003-train-val-dataset.hdf5 into memory [2020-11-13 03:27:14 load:106] : INFO : Successfully loaded dataset of 4096 examples into memory. [2020-11-13 03:27:14 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0003-train-val-dataset.hdf5 into memory [2020-11-13 03:27:14 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0003-train-val-dataset.hdf5 into memory [2020-11-13 03:27:15 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-13 03:27:15 main:494] : INFO : Creating Model [2020-11-13 03:27:15 main:507] : INFO : Preparing config file [2020-11-13 03:27:15 main:519] : INFO : Creating new config file [2020-11-13 03:27:15 main:559] : INFO : Loading DataLoader into Memory [2020-11-13 03:27:15 main:562] : INFO : Starting Training [2020-11-13 03:27:21 main:574] : INFO : Epoch 1 | loss: 0.0659022 | val_loss: 0.0656014 | Time: 5474.49 ms [2020-11-13 03:27:26 main:574] : INFO : Epoch 2 | loss: 0.0643208 | val_loss: 0.0630236 | Time: 4938.64 ms [2020-11-13 03:27:31 main:574] : INFO : Epoch 3 | loss: 0.0616065 | val_loss: 0.0600881 | Time: 5010.71 ms [2020-11-13 03:27:36 main:574] : INFO : Epoch 4 | loss: 0.0588296 | val_loss: 0.0577409 | Time: 4848.94 ms [2020-11-13 03:27:41 main:574] : INFO : Epoch 5 | loss: 0.0566882 | val_loss: 0.0558563 | Time: 4833.72 ms [2020-11-13 03:27:46 main:574] : INFO : Epoch 6 | loss: 0.0551042 | val_loss: 0.0545141 | Time: 4989.51 ms [2020-11-13 03:27:51 main:574] : INFO : Epoch 7 | loss: 0.0538506 | val_loss: 0.0532856 | Time: 4967.47 ms [2020-11-13 03:27:56 main:574] : INFO : Epoch 8 | loss: 0.0527626 | val_loss: 0.0524243 | Time: 5047.71 ms [2020-11-13 03:28:01 main:574] : INFO : Epoch 9 | loss: 0.0517599 | val_loss: 0.0514835 | Time: 4921.86 ms [2020-11-13 03:28:06 main:574] : INFO : Epoch 10 | loss: 0.0507869 | val_loss: 0.0504605 | Time: 5015.91 ms [2020-11-13 03:28:11 main:574] : INFO : Epoch 11 | loss: 0.0497679 | val_loss: 0.0495314 | Time: 5026.86 ms [2020-11-13 03:28:16 main:574] : INFO : Epoch 12 | loss: 0.0486569 | val_loss: 0.0484329 | Time: 5063.68 ms [2020-11-13 03:28:21 main:574] : INFO : Epoch 13 | loss: 0.0474841 | val_loss: 0.0475068 | Time: 4841.31 ms [2020-11-13 03:28:26 main:574] : INFO : Epoch 14 | loss: 0.0461412 | val_loss: 0.0457693 | Time: 4958.06 ms [2020-11-13 03:28:31 main:574] : INFO : Epoch 15 | loss: 0.0446228 | val_loss: 0.0443 | Time: 4909.36 ms [2020-11-13 03:28:35 main:574] : INFO : Epoch 16 | loss: 0.0428748 | val_loss: 0.0423775 | Time: 4919.26 ms [2020-11-13 03:28:41 main:574] : INFO : Epoch 17 | loss: 0.0407748 | val_loss: 0.0403863 | Time: 5022.67 ms [2020-11-13 03:28:46 main:574] : INFO : Epoch 18 | loss: 0.0383438 | val_loss: 0.0376185 | Time: 4988.02 ms [2020-11-13 03:28:50 main:574] : INFO : Epoch 19 | loss: 0.0353067 | val_loss: 0.0350675 | Time: 4936.72 ms [2020-11-13 03:28:55 main:574] : INFO : Epoch 20 | loss: 0.0318174 | val_loss: 0.0309165 | Time: 4926.78 ms [2020-11-13 03:29:00 main:574] : INFO : Epoch 21 | loss: 0.0284151 | val_loss: 0.0270797 | Time: 4909.99 ms [2020-11-13 03:29:05 main:574] : INFO : Epoch 22 | loss: 0.0248981 | val_loss: 0.0236638 | Time: 4887.85 ms [2020-11-13 03:29:10 main:574] : INFO : Epoch 23 | loss: 0.0561528 | val_loss: 0.0599606 | Time: 4826.48 ms [2020-11-13 03:29:15 main:574] : INFO : Epoch 24 | loss: 0.0589327 | val_loss: 0.0578243 | Time: 4874.24 ms [2020-11-13 03:29:20 main:574] : INFO : Epoch 25 | loss: 0.0564751 | val_loss: 0.0548327 | Time: 4893.08 ms [2020-11-13 03:29:25 main:574] : INFO : Epoch 26 | loss: 0.0523809 | val_loss: 0.0497433 | Time: 5033.71 ms [2020-11-13 03:29:30 main:574] : INFO : Epoch 27 | loss: 0.0451475 | val_loss: 0.0399544 | Time: 4925.4 ms [2020-11-13 03:29:35 main:574] : INFO : Epoch 28 | loss: 0.0321298 | val_loss: 0.0267768 | Time: 5016.37 ms [2020-11-13 03:29:40 main:574] : INFO : Epoch 29 | loss: 0.0285119 | val_loss: 0.0236646 | Time: 4882.14 ms [2020-11-13 03:29:45 main:574] : INFO : Epoch 30 | loss: 0.0216922 | val_loss: 0.0228601 | Time: 4931.71 ms [2020-11-13 03:29:50 main:574] : INFO : Epoch 31 | loss: 0.021262 | val_loss: 0.0195023 | Time: 4915.95 ms [2020-11-13 03:29:55 main:574] : INFO : Epoch 32 | loss: 0.0172773 | val_loss: 0.0190677 | Time: 5063.65 ms [2020-11-13 03:30:00 main:574] : INFO : Epoch 33 | loss: 0.0166788 | val_loss: 0.0246177 | Time: 4929.91 ms [2020-11-13 03:30:05 main:574] : INFO : Epoch 34 | loss: 0.0290455 | val_loss: 0.0205286 | Time: 4879.77 ms [2020-11-13 03:30:10 main:574] : INFO : Epoch 35 | loss: 0.0396936 | val_loss: 0.0626239 | Time: 5053.69 ms [2020-11-13 03:30:15 main:574] : INFO : Epoch 36 | loss: 0.061925 | val_loss: 0.0614391 | Time: 4910.28 ms [2020-11-13 03:30:20 main:574] : INFO : Epoch 37 | loss: 0.0610228 | val_loss: 0.0606441 | Time: 4888.3 ms [2020-11-13 03:30:25 main:574] : INFO : Epoch 38 | loss: 0.0602499 | val_loss: 0.0598206 | Time: 5039.79 ms [2020-11-13 03:30:30 main:574] : INFO : Epoch 39 | loss: 0.0593305 | val_loss: 0.0587424 | Time: 5003.48 ms [2020-11-13 03:30:35 main:574] : INFO : Epoch 40 | loss: 0.0580036 | val_loss: 0.0571703 | Time: 4915.82 ms [2020-11-13 03:30:40 main:574] : INFO : Epoch 41 | loss: 0.0561758 | val_loss: 0.0550199 | Time: 5073.61 ms [2020-11-13 03:30:45 main:574] : INFO : Epoch 42 | loss: 0.0537445 | val_loss: 0.0522567 | Time: 5050.05 ms [2020-11-13 03:30:50 main:574] : INFO : Epoch 43 | loss: 0.0504966 | val_loss: 0.04848 | Time: 5184.41 ms [2020-11-13 03:30:54 main:574] : INFO : Epoch 44 | loss: 0.04555 | val_loss: 0.0420899 | Time: 4567.03 ms [2020-11-13 03:30:59 main:574] : INFO : Epoch 45 | loss: 0.035892 | val_loss: 0.0302981 | Time: 4715.56 ms [2020-11-13 03:31:04 main:574] : INFO : Epoch 46 | loss: 0.0289444 | val_loss: 0.0226199 | Time: 4807.81 ms [2020-11-13 03:31:09 main:574] : INFO : Epoch 47 | loss: 0.0373498 | val_loss: 0.0609376 | Time: 4915.09 ms [2020-11-13 03:31:14 main:574] : INFO : Epoch 48 | loss: 0.0592875 | val_loss: 0.0577935 | Time: 4814.33 ms [2020-11-13 03:31:19 main:574] : INFO : Epoch 49 | loss: 0.0558467 | val_loss: 0.0539231 | Time: 5066.44 ms [2020-11-13 03:31:24 main:574] : INFO : Epoch 50 | loss: 0.0509643 | val_loss: 0.0478737 | Time: 5338.72 ms [2020-11-13 03:31:29 main:574] : INFO : Epoch 51 | loss: 0.0413899 | val_loss: 0.0334694 | Time: 5277.69 ms [2020-11-13 03:31:35 main:574] : INFO : Epoch 52 | loss: 0.0255619 | val_loss: 0.0216484 | Time: 5818.32 ms [2020-11-13 03:31:41 main:574] : INFO : Epoch 53 | loss: 0.0180775 | val_loss: 0.0168084 | Time: 5439.06 ms [2020-11-13 03:31:46 main:574] : INFO : Epoch 54 | loss: 0.0145178 | val_loss: 0.0143401 | Time: 5349.43 ms [2020-11-13 03:31:52 main:574] : INFO : Epoch 55 | loss: 0.0130917 | val_loss: 0.0132416 | Time: 5429.76 ms [2020-11-13 03:31:57 main:574] : INFO : Epoch 56 | loss: 0.0124382 | val_loss: 0.0139051 | Time: 5266.66 ms [2020-11-13 03:32:02 main:574] : INFO : Epoch 57 | loss: 0.0119943 | val_loss: 0.0119847 | Time: 5300.49 ms [2020-11-13 03:32:08 main:574] : INFO : Epoch 58 | loss: 0.0112676 | val_loss: 0.0117128 | Time: 5427.31 ms [2020-11-13 03:32:13 main:574] : INFO : Epoch 59 | loss: 0.010968 | val_loss: 0.011308 | Time: 5402.46 ms [2020-11-13 03:32:18 main:574] : INFO : Epoch 60 | loss: 0.0104363 | val_loss: 0.01041 | Time: 5417.79 ms [2020-11-13 03:32:24 main:574] : INFO : Epoch 61 | loss: 0.0099281 | val_loss: 0.0103225 | Time: 5373.1 ms [2020-11-13 03:32:29 main:574] : INFO : Epoch 62 | loss: 0.0100386 | val_loss: 0.00980932 | Time: 4924.67 ms [2020-11-13 03:32:34 main:574] : INFO : Epoch 63 | loss: 0.00930522 | val_loss: 0.00947239 | Time: 5164.75 ms [2020-11-13 03:32:39 main:574] : INFO : Epoch 64 | loss: 0.0110192 | val_loss: 0.00978381 | Time: 5382.79 ms [2020-11-13 03:32:45 main:574] : INFO : Epoch 65 | loss: 0.00901188 | val_loss: 0.00906249 | Time: 5400.54 ms [2020-11-13 03:32:50 main:574] : INFO : Epoch 66 | loss: 0.0085996 | val_loss: 0.0087651 | Time: 5217.11 ms [2020-11-13 03:32:55 main:574] : INFO : Epoch 67 | loss: 0.0083404 | val_loss: 0.00851817 | Time: 5394.09 ms [2020-11-13 03:33:01 main:574] : INFO : Epoch 68 | loss: 0.00810315 | val_loss: 0.0082257 | Time: 5285.99 ms [2020-11-13 03:33:06 main:574] : INFO : Epoch 69 | loss: 0.00788842 | val_loss: 0.0079854 | Time: 5605.73 ms [2020-11-13 03:33:12 main:574] : INFO : Epoch 70 | loss: 0.00767447 | val_loss: 0.00776348 | Time: 5670.57 ms [2020-11-13 03:33:18 main:574] : INFO : Epoch 71 | loss: 0.00747094 | val_loss: 0.00756913 | Time: 5731.16 ms [2020-11-13 03:33:24 main:574] : INFO : Epoch 72 | loss: 0.007271 | val_loss: 0.00735366 | Time: 5674.22 ms [2020-11-13 03:33:29 main:574] : INFO : Epoch 73 | loss: 0.00718509 | val_loss: 0.00719714 | Time: 5645.24 ms [2020-11-13 03:33:35 main:574] : INFO : Epoch 74 | loss: 0.00690833 | val_loss: 0.00698528 | Time: 5405.21 ms [2020-11-13 03:33:40 main:574] : INFO : Epoch 75 | loss: 0.006706 | val_loss: 0.00675084 | Time: 5359.89 ms [2020-11-13 03:33:45 main:574] : INFO : Epoch 76 | loss: 0.00651877 | val_loss: 0.00657108 | Time: 5278.37 ms [2020-11-13 03:33:51 main:574] : INFO : Epoch 77 | loss: 0.00633543 | val_loss: 0.00637114 | Time: 5386.31 ms [2020-11-13 03:33:56 main:574] : INFO : Epoch 78 | loss: 0.00615477 | val_loss: 0.0061879 | Time: 5414.32 ms [2020-11-13 03:34:01 main:574] : INFO : Epoch 79 | loss: 0.00597817 | val_loss: 0.00600666 | Time: 5274.84 ms [2020-11-13 03:34:06 main:574] : INFO : Epoch 80 | loss: 0.00580404 | val_loss: 0.00583205 | Time: 4853.17 ms [2020-11-13 03:34:11 main:574] : INFO : Epoch 81 | loss: 0.00563335 | val_loss: 0.00566489 | Time: 4931.34 ms [2020-11-13 03:34:17 main:574] : INFO : Epoch 82 | loss: 0.00546515 | val_loss: 0.00548734 | Time: 5290.36 ms [2020-11-13 03:34:22 main:574] : INFO : Epoch 83 | loss: 0.00529884 | val_loss: 0.0053139 | Time: 5313.96 ms [2020-11-13 03:34:27 main:574] : INFO : Epoch 84 | loss: 0.00513477 | val_loss: 0.00514872 | Time: 5393.93 ms [2020-11-13 03:34:33 main:574] : INFO : Epoch 85 | loss: 0.00497292 | val_loss: 0.00498564 | Time: 5274.86 ms [2020-11-13 03:34:38 main:574] : INFO : Epoch 86 | loss: 0.00481444 | val_loss: 0.00482336 | Time: 5437.76 ms [2020-11-13 03:34:43 main:574] : INFO : Epoch 87 | loss: 0.00465826 | val_loss: 0.0046682 | Time: 5419.03 ms [2020-11-13 03:34:49 main:574] : INFO : Epoch 88 | loss: 0.00450646 | val_loss: 0.00451315 | Time: 5368.78 ms [2020-11-13 03:34:54 main:574] : INFO : Epoch 89 | loss: 0.00435437 | val_loss: 0.00435546 | Time: 5320.23 ms [2020-11-13 03:35:00 main:574] : INFO : Epoch 90 | loss: 0.00420497 | val_loss: 0.00420816 | Time: 5371.9 ms [2020-11-13 03:35:05 main:574] : INFO : Epoch 91 | loss: 0.00405994 | val_loss: 0.0040618 | Time: 5118.51 ms [2020-11-13 03:35:10 main:574] : INFO : Epoch 92 | loss: 0.00391796 | val_loss: 0.00391756 | Time: 5705.7 ms [2020-11-13 03:35:16 main:574] : INFO : Epoch 93 | loss: 0.00377859 | val_loss: 0.00377638 | Time: 5419.33 ms [2020-11-13 03:35:21 main:574] : INFO : Epoch 94 | loss: 0.00364161 | val_loss: 0.00361275 | Time: 5358.43 ms [2020-11-13 03:35:27 main:574] : INFO : Epoch 95 | loss: 0.00350913 | val_loss: 0.00347812 | Time: 5359.38 ms [2020-11-13 03:35:32 main:574] : INFO : Epoch 96 | loss: 0.00337883 | val_loss: 0.00335504 | Time: 5317.5 ms [2020-11-13 03:35:37 main:574] : INFO : Epoch 97 | loss: 0.00325344 | val_loss: 0.00323502 | Time: 5299.97 ms [2020-11-13 03:35:42 main:574] : INFO : Epoch 98 | loss: 0.00312962 | val_loss: 0.00311867 | Time: 5109.01 ms [2020-11-13 03:35:48 main:574] : INFO : Epoch 99 | loss: 0.00300968 | val_loss: 0.0029998 | Time: 5398.89 ms [2020-11-13 03:35:53 main:574] : INFO : Epoch 100 | loss: 0.00289503 | val_loss: 0.00288704 | Time: 5347.81 ms [2020-11-13 03:35:59 main:574] : INFO : Epoch 101 | loss: 0.00278296 | val_loss: 0.00275725 | Time: 5409.9 ms [2020-11-13 03:36:04 main:574] : INFO : Epoch 102 | loss: 0.00267526 | val_loss: 0.00266202 | Time: 5040.93 ms [2020-11-13 03:36:09 main:574] : INFO : Epoch 103 | loss: 0.0025702 | val_loss: 0.00255512 | Time: 5010.8 ms [2020-11-13 03:36:14 main:574] : INFO : Epoch 104 | loss: 0.00246816 | val_loss: 0.00246361 | Time: 4922.94 ms [2020-11-13 03:36:19 main:574] : INFO : Epoch 105 | loss: 0.00237074 | val_loss: 0.00235888 | Time: 4859.12 ms [2020-11-13 03:36:23 main:574] : INFO : Epoch 106 | loss: 0.00227528 | val_loss: 0.00226726 | Time: 4903.91 ms [2020-11-13 03:36:28 main:574] : INFO : Epoch 107 | loss: 0.0021846 | val_loss: 0.00217432 | Time: 4845.39 ms [2020-11-13 03:36:33 main:574] : INFO : Epoch 108 | loss: 0.00209475 | val_loss: 0.00209892 | Time: 4856.79 ms [2020-11-13 03:36:38 main:574] : INFO : Epoch 109 | loss: 0.00201027 | val_loss: 0.00199042 | Time: 4814.3 ms [2020-11-13 03:36:43 main:574] : INFO : Epoch 110 | loss: 0.00192629 | val_loss: 0.0019073 | Time: 4882.95 ms [2020-11-13 03:36:48 main:574] : INFO : Epoch 111 | loss: 0.00184631 | val_loss: 0.00182699 | Time: 4905.13 ms [2020-11-13 03:36:53 main:574] : INFO : Epoch 112 | loss: 0.00176827 | val_loss: 0.00175271 | Time: 4841.21 ms [2020-11-13 03:36:58 main:574] : INFO : Epoch 113 | loss: 0.00169331 | val_loss: 0.00167943 | Time: 4858.68 ms [2020-11-13 03:37:02 main:574] : INFO : Epoch 114 | loss: 0.00162109 | val_loss: 0.00160538 | Time: 4858.82 ms [2020-11-13 03:37:08 main:574] : INFO : Epoch 115 | loss: 0.00155055 | val_loss: 0.00153853 | Time: 5398.4 ms [2020-11-13 03:37:13 main:574] : INFO : Epoch 116 | loss: 0.00148523 | val_loss: 0.00147044 | Time: 5367.13 ms [2020-11-13 03:37:19 main:574] : INFO : Epoch 117 | loss: 0.00142028 | val_loss: 0.0014131 | Time: 5433.22 ms [2020-11-13 03:37:24 main:574] : INFO : Epoch 118 | loss: 0.00135941 | val_loss: 0.00135164 | Time: 5409.71 ms [2020-11-13 03:37:30 main:574] : INFO : Epoch 119 | loss: 0.00130174 | val_loss: 0.00129309 | Time: 5370.29 ms [2020-11-13 03:37:35 main:574] : INFO : Epoch 120 | loss: 0.00124619 | val_loss: 0.00124097 | Time: 5317.77 ms [2020-11-13 03:37:40 main:574] : INFO : Epoch 121 | loss: 0.00119282 | val_loss: 0.00118414 | Time: 5517.38 ms [2020-11-13 03:37:46 main:574] : INFO : Epoch 122 | loss: 0.0011418 | val_loss: 0.00113701 | Time: 5482 ms [2020-11-13 03:37:51 main:574] : INFO : Epoch 123 | loss: 0.00109312 | val_loss: 0.00109131 | Time: 5315.66 ms [2020-11-13 03:37:57 main:574] : INFO : Epoch 124 | loss: 0.00104758 | val_loss: 0.00104333 | Time: 5368.96 ms [2020-11-13 03:38:02 main:574] : INFO : Epoch 125 | loss: 0.00100312 | val_loss: 0.00100119 | Time: 5171.1 ms [2020-11-13 03:38:07 main:574] : INFO : Epoch 126 | loss: 0.000961762 | val_loss: 0.000955278 | Time: 5000.45 ms [2020-11-13 03:38:12 main:574] : INFO : Epoch 127 | loss: 0.000921547 | val_loss: 0.00092283 | Time: 4888.29 ms [2020-11-13 03:38:17 main:574] : INFO : Epoch 128 | loss: 0.000882503 | val_loss: 0.000881387 | Time: 4862.15 ms [2020-11-13 03:38:22 main:574] : INFO : Epoch 129 | loss: 0.000846647 | val_loss: 0.000844586 | Time: 5238.65 ms [2020-11-13 03:38:27 main:574] : INFO : Epoch 130 | loss: 0.000810552 | val_loss: 0.000808713 | Time: 5436.75 ms [2020-11-13 03:38:33 main:574] : INFO : Epoch 131 | loss: 0.000777748 | val_loss: 0.000774676 | Time: 5450.42 ms [2020-11-13 03:38:38 main:574] : INFO : Epoch 132 | loss: 0.000758882 | val_loss: 0.000758382 | Time: 5433.41 ms [2020-11-13 03:38:44 main:574] : INFO : Epoch 133 | loss: 0.000717572 | val_loss: 0.000715104 | Time: 5344.47 ms [2020-11-13 03:38:50 main:574] : INFO : Epoch 134 | loss: 0.000688872 | val_loss: 0.000690392 | Time: 6068.14 ms [2020-11-13 03:38:55 main:574] : INFO : Epoch 135 | loss: 0.000662134 | val_loss: 0.000662817 | Time: 5645.31 ms [2020-11-13 03:39:01 main:574] : INFO : Epoch 136 | loss: 0.000636611 | val_loss: 0.000639344 | Time: 5437.72 ms [2020-11-13 03:39:06 main:574] : INFO : Epoch 137 | loss: 0.000613383 | val_loss: 0.000612438 | Time: 5225.87 ms [2020-11-13 03:39:12 main:574] : INFO : Epoch 138 | loss: 0.000590461 | val_loss: 0.000591464 | Time: 5506.35 ms [2020-11-13 03:39:17 main:574] : INFO : Epoch 139 | loss: 0.000569267 | val_loss: 0.000568707 | Time: 5698.57 ms [2020-11-13 03:39:23 main:574] : INFO : Epoch 140 | loss: 0.000548882 | val_loss: 0.000549243 | Time: 5420 ms [2020-11-13 03:39:28 main:574] : INFO : Epoch 141 | loss: 0.000528704 | val_loss: 0.00052658 | Time: 5626.79 ms [2020-11-13 03:39:35 main:574] : INFO : Epoch 142 | loss: 0.000510073 | val_loss: 0.000510106 | Time: 6294.87 ms [2020-11-13 03:39:40 main:574] : INFO : Epoch 143 | loss: 0.000491978 | val_loss: 0.000496245 | Time: 5317.79 ms [2020-11-13 03:39:45 main:574] : INFO : Epoch 144 | loss: 0.00047493 | val_loss: 0.000477482 | Time: 5149.36 ms [2020-11-13 03:39:51 main:574] : INFO : Epoch 145 | loss: 0.000458276 | val_loss: 0.000464752 | Time: 5381.95 ms [2020-11-13 03:39:56 main:574] : INFO : Epoch 146 | loss: 0.000443781 | val_loss: 0.000446471 | Time: 5358.71 ms [2020-11-13 03:40:01 main:574] : INFO : Epoch 147 | loss: 0.000428243 | val_loss: 0.000433417 | Time: 5251.98 ms [2020-11-13 03:40:06 main:574] : INFO : Epoch 148 | loss: 0.000414996 | val_loss: 0.000417254 | Time: 4897.42 ms [2020-11-13 03:40:11 main:574] : INFO : Epoch 149 | loss: 0.000401806 | val_loss: 0.000403622 | Time: 4919.25 ms [2020-11-13 03:40:16 main:574] : INFO : Epoch 150 | loss: 0.000389688 | val_loss: 0.000388988 | Time: 4846.29 ms [2020-11-13 03:40:21 main:574] : INFO : Epoch 151 | loss: 0.000376702 | val_loss: 0.000380969 | Time: 4862.66 ms [2020-11-13 03:40:26 main:574] : INFO : Epoch 152 | loss: 0.000365591 | val_loss: 0.000369122 | Time: 4857.96 ms [2020-11-13 03:40:31 main:574] : INFO : Epoch 153 | loss: 0.00035502 | val_loss: 0.00035615 | Time: 4851.76 ms [2020-11-13 03:40:36 main:574] : INFO : Epoch 154 | loss: 0.000344341 | val_loss: 0.000344618 | Time: 4933.09 ms [2020-11-13 03:40:40 main:574] : INFO : Epoch 155 | loss: 0.000334473 | val_loss: 0.000337127 | Time: 4862.78 ms [2020-11-13 03:40:45 main:574] : INFO : Epoch 156 | loss: 0.000324365 | val_loss: 0.000330433 | Time: 4923.3 ms [2020-11-13 03:40:50 main:574] : INFO : Epoch 157 | loss: 0.000316119 | val_loss: 0.000322263 | Time: 5082.1 ms [2020-11-13 03:40:56 main:574] : INFO : Epoch 158 | loss: 0.00030732 | val_loss: 0.000309379 | Time: 5423.5 ms [2020-11-13 03:41:01 main:574] : INFO : Epoch 159 | loss: 0.000298896 | val_loss: 0.000302435 | Time: 5434.48 ms [2020-11-13 03:41:07 main:574] : INFO : Epoch 160 | loss: 0.000291005 | val_loss: 0.000290966 | Time: 5317.66 ms [2020-11-13 03:41:12 main:574] : INFO : Epoch 161 | loss: 0.000284024 | val_loss: 0.000285824 | Time: 5443.91 ms [2020-11-13 03:41:18 main:574] : INFO : Epoch 162 | loss: 0.000276721 | val_loss: 0.000278655 | Time: 5389.59 ms [2020-11-13 03:41:23 main:574] : INFO : Epoch 163 | loss: 0.000269529 | val_loss: 0.000274657 | Time: 5415.31 ms [2020-11-13 03:41:28 main:574] : INFO : Epoch 164 | loss: 0.000263395 | val_loss: 0.000264884 | Time: 5415.21 ms [2020-11-13 03:41:34 main:574] : INFO : Epoch 165 | loss: 0.000256857 | val_loss: 0.000260957 | Time: 5432.99 ms [2020-11-13 03:41:39 main:574] : INFO : Epoch 166 | loss: 0.000250593 | val_loss: 0.000253164 | Time: 5378.32 ms [2020-11-13 03:41:45 main:574] : INFO : Epoch 167 | loss: 0.000244709 | val_loss: 0.000247773 | Time: 5327.72 ms [2020-11-13 03:41:50 main:574] : INFO : Epoch 168 | loss: 0.000239391 | val_loss: 0.000242982 | Time: 5420.86 ms [2020-11-13 03:41:56 main:574] : INFO : Epoch 169 | loss: 0.000233823 | val_loss: 0.000236636 | Time: 5410.71 ms [2020-11-13 03:42:01 main:574] : INFO : Epoch 170 | loss: 0.000229511 | val_loss: 0.00023207 | Time: 5296.65 ms [2020-11-13 03:42:06 main:574] : INFO : Epoch 171 | loss: 0.000224055 | val_loss: 0.000225728 | Time: 4920.09 ms [2020-11-13 03:42:11 main:574] : INFO : Epoch 172 | loss: 0.000219525 | val_loss: 0.000223003 | Time: 4831.75 ms [2020-11-13 03:42:16 main:574] : INFO : Epoch 173 | loss: 0.000214941 | val_loss: 0.00021769 | Time: 4901.16 ms [2020-11-13 03:42:20 main:574] : INFO : Epoch 174 | loss: 0.000210509 | val_loss: 0.000212051 | Time: 4894.88 ms [2020-11-13 03:42:25 main:574] : INFO : Epoch 175 | loss: 0.000205678 | val_loss: 0.000208323 | Time: 4963.72 ms [2020-11-13 03:42:30 main:574] : INFO : Epoch 176 | loss: 0.000202593 | val_loss: 0.000206321 | Time: 4837.6 ms [2020-11-13 03:42:35 main:574] : INFO : Epoch 177 | loss: 0.000198145 | val_loss: 0.000200284 | Time: 4984.95 ms [2020-11-13 03:42:40 main:574] : INFO : Epoch 178 | loss: 0.000194625 | val_loss: 0.000197981 | Time: 4871.54 ms [2020-11-13 03:42:45 main:574] : INFO : Epoch 179 | loss: 0.000191065 | val_loss: 0.00019227 | Time: 4920.95 ms [2020-11-13 03:42:50 main:574] : INFO : Epoch 180 | loss: 0.000187693 | val_loss: 0.000188852 | Time: 4869.07 ms [2020-11-13 03:42:55 main:574] : INFO : Epoch 181 | loss: 0.000183449 | val_loss: 0.000186481 | Time: 4857.1 ms [2020-11-13 03:43:00 main:574] : INFO : Epoch 182 | loss: 0.000180353 | val_loss: 0.000182092 | Time: 4862.64 ms [2020-11-13 03:43:05 main:574] : INFO : Epoch 183 | loss: 0.000176747 | val_loss: 0.000180581 | Time: 5313.08 ms [2020-11-13 03:43:11 main:574] : INFO : Epoch 184 | loss: 0.000173139 | val_loss: 0.000175824 | Time: 5412.27 ms [2020-11-13 03:43:16 main:574] : INFO : Epoch 185 | loss: 0.000171034 | val_loss: 0.000172289 | Time: 5432.92 ms [2020-11-13 03:43:21 main:574] : INFO : Epoch 186 | loss: 0.000167654 | val_loss: 0.000171204 | Time: 5299.92 ms [2020-11-13 03:43:27 main:574] : INFO : Epoch 187 | loss: 0.000164522 | val_loss: 0.000167394 | Time: 5376.89 ms [2020-11-13 03:43:32 main:574] : INFO : Epoch 188 | loss: 0.000162335 | val_loss: 0.000165036 | Time: 5390.02 ms [2020-11-13 03:43:38 main:574] : INFO : Epoch 189 | loss: 0.000159732 | val_loss: 0.000163078 | Time: 5441.98 ms [2020-11-13 03:43:43 main:574] : INFO : Epoch 190 | loss: 0.000156112 | val_loss: 0.000157768 | Time: 5440.82 ms [2020-11-13 03:43:48 main:574] : INFO : Epoch 191 | loss: 0.00015389 | val_loss: 0.000156259 | Time: 5442.19 ms [2020-11-13 03:43:55 main:574] : INFO : Epoch 192 | loss: 0.000150948 | val_loss: 0.000152648 | Time: 6182.27 ms [2020-11-13 03:43:55 main:597] : INFO : Saving trained model to model-final.pt, val_loss 0.000152648 [2020-11-13 03:43:55 main:603] : INFO : Saving end state to config to file [2020-11-13 03:43:55 main:608] : INFO : Success, exiting.. 03:43:55 (5284): 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)