Task 3039736
| Name | rand_automata_0032-1606117992-22583-0_0 |
| Workunit | 1376058 |
| Created | 23 Nov 2020, 7:53:17 UTC |
| Sent | 24 Nov 2020, 4:57:05 UTC |
| Report deadline | 25 Nov 2020, 3:27:05 UTC |
| Received | 24 Nov 2020, 19:10:30 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 4379 |
| Run time | 15 min 41 sec |
| CPU time | 15 min 37 sec |
| Validate state | Valid |
| Credit | 959.40 |
| Device peak FLOPS | 4,493.80 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 | 10.01 GB |
| Peak disk usage | 2.98 GB |
Stderr output
<core_client_version>7.16.11</core_client_version> <![CDATA[ <stderr_txt> DEBUG: Args: ../../projects/www.mlcathome.org_mlcathome/mlds-gpu_9.80_x86_64-pc-linux-gnu__cuda10200 -a LSTM -w 64 -b 2 -s 32 --lr 0.001 --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 SUPER) [2020-11-24 13:54:37 main:442] : INFO : Set logging level to 1 [2020-11-24 13:54:37 main:448] : INFO : Running in BOINC Client mode [2020-11-24 13:54:37 main:451] : INFO : Resolving all filenames [2020-11-24 13:54:37 main:459] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0032-train-val-dataset.hdf5 (exists = 1) [2020-11-24 13:54:37 main:459] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0032-1606117992-22583-0_0_r766286548_1 (exists = 0) [2020-11-24 13:54:37 main:459] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0032-1606117992-22583-0_0_r766286548_0 (exists = 0) [2020-11-24 13:54:37 main:459] : INFO : Resolved: model-input.pt => model-input.pt (exists = 0) [2020-11-24 13:54:37 main:459] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-24 13:54:37 main:479] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/rand_automata_0032-train-val-dataset.hdf5 [2020-11-24 13:54:37 main:481] : INFO : Configuration: [2020-11-24 13:54:37 main:482] : INFO : Model type: LSTM [2020-11-24 13:54:37 main:483] : INFO : Validation Loss Threshold: 0.0001 [2020-11-24 13:54:37 main:484] : INFO : Max Epochs: 192 [2020-11-24 13:54:37 main:485] : INFO : Batch Size: 32 [2020-11-24 13:54:37 main:486] : INFO : Learning Rate: 0.001 [2020-11-24 13:54:37 main:487] : INFO : Patience: 10 [2020-11-24 13:54:37 main:488] : INFO : Hidden Width: 64 [2020-11-24 13:54:37 main:489] : INFO : # Recurrent Layers: 4 [2020-11-24 13:54:37 main:490] : INFO : # Backend Layers: 2 [2020-11-24 13:54:37 main:491] : INFO : # Threads: 1 [2020-11-24 13:54:37 main:493] : INFO : Preparing Dataset [2020-11-24 13:54:37 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0032-train-val-dataset.hdf5 into memory [2020-11-24 13:54:37 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0032-train-val-dataset.hdf5 into memory [2020-11-24 13:54:38 load:106] : INFO : Successfully loaded dataset of 4096 examples into memory. [2020-11-24 13:54:38 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0032-train-val-dataset.hdf5 into memory [2020-11-24 13:54:38 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0032-train-val-dataset.hdf5 into memory [2020-11-24 13:54:38 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-24 13:54:38 main:501] : INFO : Creating Model [2020-11-24 13:54:38 main:514] : INFO : Preparing config file [2020-11-24 13:54:38 main:526] : INFO : Creating new config file [2020-11-24 13:54:39 main:566] : INFO : Loading DataLoader into Memory [2020-11-24 13:54:39 main:569] : INFO : Starting Training [2020-11-24 13:54:44 main:581] : INFO : Epoch 1 | loss: 0.0667232 | val_loss: 0.0661035 | Time: 5343.42 ms [2020-11-24 13:54:49 main:581] : INFO : Epoch 2 | loss: 0.0660975 | val_loss: 0.0660284 | Time: 4803.9 ms [2020-11-24 13:54:54 main:581] : INFO : Epoch 3 | loss: 0.0645264 | val_loss: 0.0629627 | Time: 4811.45 ms [2020-11-24 13:54:59 main:581] : INFO : Epoch 4 | loss: 0.061584 | val_loss: 0.060282 | Time: 4848.87 ms [2020-11-24 13:55:04 main:581] : INFO : Epoch 5 | loss: 0.059163 | val_loss: 0.0582207 | Time: 4873.14 ms [2020-11-24 13:55:08 main:581] : INFO : Epoch 6 | loss: 0.0573376 | val_loss: 0.056626 | Time: 4868.95 ms [2020-11-24 13:55:13 main:581] : INFO : Epoch 7 | loss: 0.0559015 | val_loss: 0.0553824 | Time: 4852.5 ms [2020-11-24 13:55:18 main:581] : INFO : Epoch 8 | loss: 0.0547344 | val_loss: 0.0542258 | Time: 4853.69 ms [2020-11-24 13:55:23 main:581] : INFO : Epoch 9 | loss: 0.0535424 | val_loss: 0.0530618 | Time: 4877 ms [2020-11-24 13:55:28 main:581] : INFO : Epoch 10 | loss: 0.0523238 | val_loss: 0.0518063 | Time: 4982.42 ms [2020-11-24 13:55:33 main:581] : INFO : Epoch 11 | loss: 0.0509008 | val_loss: 0.0503795 | Time: 5208.79 ms [2020-11-24 13:55:38 main:581] : INFO : Epoch 12 | loss: 0.0492475 | val_loss: 0.0485236 | Time: 5280.5 ms [2020-11-24 13:55:43 main:581] : INFO : Epoch 13 | loss: 0.0474326 | val_loss: 0.0468654 | Time: 4848.15 ms [2020-11-24 13:55:48 main:581] : INFO : Epoch 14 | loss: 0.0452923 | val_loss: 0.0446855 | Time: 4875.48 ms [2020-11-24 13:55:53 main:581] : INFO : Epoch 15 | loss: 0.0429298 | val_loss: 0.0420756 | Time: 4873.83 ms [2020-11-24 13:55:58 main:581] : INFO : Epoch 16 | loss: 0.0405002 | val_loss: 0.0395872 | Time: 4883.36 ms [2020-11-24 13:56:03 main:581] : INFO : Epoch 17 | loss: 0.0377605 | val_loss: 0.0372188 | Time: 4900.09 ms [2020-11-24 13:56:08 main:581] : INFO : Epoch 18 | loss: 0.0349635 | val_loss: 0.0362349 | Time: 4908.11 ms [2020-11-24 13:56:13 main:581] : INFO : Epoch 19 | loss: 0.0335899 | val_loss: 0.0364497 | Time: 4881.9 ms [2020-11-24 13:56:17 main:581] : INFO : Epoch 20 | loss: 0.0311423 | val_loss: 0.0294062 | Time: 4881.8 ms [2020-11-24 13:56:22 main:581] : INFO : Epoch 21 | loss: 0.0297032 | val_loss: 0.0284646 | Time: 4873.64 ms [2020-11-24 13:56:27 main:581] : INFO : Epoch 22 | loss: 0.0290297 | val_loss: 0.0433706 | Time: 4859.98 ms [2020-11-24 13:56:32 main:581] : INFO : Epoch 23 | loss: 0.0264588 | val_loss: 0.0312469 | Time: 4877.3 ms [2020-11-24 13:56:37 main:581] : INFO : Epoch 24 | loss: 0.032868 | val_loss: 0.0515046 | Time: 4857.13 ms [2020-11-24 13:56:42 main:581] : INFO : Epoch 25 | loss: 0.0374151 | val_loss: 0.0271297 | Time: 4892.75 ms [2020-11-24 13:56:47 main:581] : INFO : Epoch 26 | loss: 0.0284465 | val_loss: 0.0221397 | Time: 4853.73 ms [2020-11-24 13:56:52 main:581] : INFO : Epoch 27 | loss: 0.0209796 | val_loss: 0.0195538 | Time: 4856.68 ms [2020-11-24 13:56:56 main:581] : INFO : Epoch 28 | loss: 0.0200358 | val_loss: 0.0175342 | Time: 4832 ms [2020-11-24 13:57:01 main:581] : INFO : Epoch 29 | loss: 0.0157379 | val_loss: 0.0228121 | Time: 4856.72 ms [2020-11-24 13:57:06 main:581] : INFO : Epoch 30 | loss: 0.0155455 | val_loss: 0.0154344 | Time: 4871.29 ms [2020-11-24 13:57:11 main:581] : INFO : Epoch 31 | loss: 0.0240518 | val_loss: 0.0525832 | Time: 4885.07 ms [2020-11-24 13:57:16 main:581] : INFO : Epoch 32 | loss: 0.0319702 | val_loss: 0.0185778 | Time: 4896.54 ms [2020-11-24 13:57:21 main:581] : INFO : Epoch 33 | loss: 0.0141374 | val_loss: 0.0142286 | Time: 4865.96 ms [2020-11-24 13:57:26 main:581] : INFO : Epoch 34 | loss: 0.0366917 | val_loss: 0.059834 | Time: 4861.7 ms [2020-11-24 13:57:30 main:581] : INFO : Epoch 35 | loss: 0.0582992 | val_loss: 0.0567528 | Time: 4856.63 ms [2020-11-24 13:57:35 main:581] : INFO : Epoch 36 | loss: 0.0544923 | val_loss: 0.0515736 | Time: 4854.59 ms [2020-11-24 13:57:40 main:581] : INFO : Epoch 37 | loss: 0.044699 | val_loss: 0.0341365 | Time: 4836.41 ms [2020-11-24 13:57:45 main:581] : INFO : Epoch 38 | loss: 0.0239488 | val_loss: 0.0206802 | Time: 4859.95 ms [2020-11-24 13:57:50 main:581] : INFO : Epoch 39 | loss: 0.016658 | val_loss: 0.0136798 | Time: 4869.77 ms [2020-11-24 13:57:55 main:581] : INFO : Epoch 40 | loss: 0.0133461 | val_loss: 0.012845 | Time: 4866.24 ms [2020-11-24 13:58:00 main:581] : INFO : Epoch 41 | loss: 0.0119597 | val_loss: 0.0119172 | Time: 4855.84 ms [2020-11-24 13:58:05 main:581] : INFO : Epoch 42 | loss: 0.0108567 | val_loss: 0.0108785 | Time: 4889.85 ms [2020-11-24 13:58:09 main:581] : INFO : Epoch 43 | loss: 0.00940064 | val_loss: 0.00938157 | Time: 4872.68 ms [2020-11-24 13:58:14 main:581] : INFO : Epoch 44 | loss: 0.00876312 | val_loss: 0.0090045 | Time: 4875.3 ms [2020-11-24 13:58:19 main:581] : INFO : Epoch 45 | loss: 0.00939418 | val_loss: 0.0104708 | Time: 4873.53 ms [2020-11-24 13:58:24 main:581] : INFO : Epoch 46 | loss: 0.00838829 | val_loss: 0.00846493 | Time: 4889.3 ms [2020-11-24 13:58:29 main:581] : INFO : Epoch 47 | loss: 0.0495173 | val_loss: 0.0567472 | Time: 4859.31 ms [2020-11-24 13:58:34 main:581] : INFO : Epoch 48 | loss: 0.0534741 | val_loss: 0.0498168 | Time: 4858.95 ms [2020-11-24 13:58:39 main:581] : INFO : Epoch 49 | loss: 0.0423887 | val_loss: 0.0348795 | Time: 4853.88 ms [2020-11-24 13:58:43 main:581] : INFO : Epoch 50 | loss: 0.0318348 | val_loss: 0.0231415 | Time: 4890.57 ms [2020-11-24 13:58:48 main:581] : INFO : Epoch 51 | loss: 0.0148552 | val_loss: 0.0120116 | Time: 4824.42 ms [2020-11-24 13:58:53 main:581] : INFO : Epoch 52 | loss: 0.0131014 | val_loss: 0.0107874 | Time: 4884.64 ms [2020-11-24 13:58:58 main:581] : INFO : Epoch 53 | loss: 0.00908228 | val_loss: 0.00927046 | Time: 4902.71 ms [2020-11-24 13:59:03 main:581] : INFO : Epoch 54 | loss: 0.00829174 | val_loss: 0.00822592 | Time: 4869.55 ms [2020-11-24 13:59:08 main:581] : INFO : Epoch 55 | loss: 0.0079138 | val_loss: 0.00819689 | Time: 4864.56 ms [2020-11-24 13:59:13 main:581] : INFO : Epoch 56 | loss: 0.00754093 | val_loss: 0.00761468 | Time: 4841.17 ms [2020-11-24 13:59:18 main:581] : INFO : Epoch 57 | loss: 0.00707952 | val_loss: 0.00719166 | Time: 4857.19 ms [2020-11-24 13:59:23 main:581] : INFO : Epoch 58 | loss: 0.00680522 | val_loss: 0.00693605 | Time: 5054.3 ms [2020-11-24 13:59:28 main:581] : INFO : Epoch 59 | loss: 0.00657879 | val_loss: 0.00670975 | Time: 5115 ms [2020-11-24 13:59:33 main:581] : INFO : Epoch 60 | loss: 0.00637635 | val_loss: 0.006499 | Time: 4843.8 ms [2020-11-24 13:59:37 main:581] : INFO : Epoch 61 | loss: 0.00617082 | val_loss: 0.00638675 | Time: 4815.33 ms [2020-11-24 13:59:42 main:581] : INFO : Epoch 62 | loss: 0.00600342 | val_loss: 0.00609696 | Time: 4814.95 ms [2020-11-24 13:59:47 main:581] : INFO : Epoch 63 | loss: 0.00580831 | val_loss: 0.00589547 | Time: 5169.17 ms [2020-11-24 13:59:52 main:581] : INFO : Epoch 64 | loss: 0.00563515 | val_loss: 0.00570682 | Time: 4891.28 ms [2020-11-24 13:59:57 main:581] : INFO : Epoch 65 | loss: 0.00547781 | val_loss: 0.00552926 | Time: 4868.06 ms [2020-11-24 14:00:02 main:581] : INFO : Epoch 66 | loss: 0.00531667 | val_loss: 0.00535555 | Time: 4830.88 ms [2020-11-24 14:00:07 main:581] : INFO : Epoch 67 | loss: 0.00515411 | val_loss: 0.00519954 | Time: 4865.69 ms [2020-11-24 14:00:12 main:581] : INFO : Epoch 68 | loss: 0.00499726 | val_loss: 0.00502089 | Time: 4845.79 ms [2020-11-24 14:00:17 main:581] : INFO : Epoch 69 | loss: 0.00509211 | val_loss: 0.00489808 | Time: 4852.91 ms [2020-11-24 14:00:21 main:581] : INFO : Epoch 70 | loss: 0.00477312 | val_loss: 0.00473086 | Time: 4870.88 ms [2020-11-24 14:00:26 main:581] : INFO : Epoch 71 | loss: 0.0045604 | val_loss: 0.00453509 | Time: 4873.64 ms [2020-11-24 14:00:31 main:581] : INFO : Epoch 72 | loss: 0.00440312 | val_loss: 0.00438808 | Time: 4891.87 ms [2020-11-24 14:00:36 main:581] : INFO : Epoch 73 | loss: 0.00425573 | val_loss: 0.00423596 | Time: 4870.77 ms [2020-11-24 14:00:41 main:581] : INFO : Epoch 74 | loss: 0.00418125 | val_loss: 0.00409931 | Time: 4854.2 ms [2020-11-24 14:00:46 main:581] : INFO : Epoch 75 | loss: 0.00396923 | val_loss: 0.00395213 | Time: 4882.61 ms [2020-11-24 14:00:51 main:581] : INFO : Epoch 76 | loss: 0.00382608 | val_loss: 0.00380688 | Time: 4870.77 ms [2020-11-24 14:00:56 main:581] : INFO : Epoch 77 | loss: 0.00368759 | val_loss: 0.00366669 | Time: 4888.82 ms [2020-11-24 14:01:00 main:581] : INFO : Epoch 78 | loss: 0.00355227 | val_loss: 0.00352914 | Time: 4894.19 ms [2020-11-24 14:01:05 main:581] : INFO : Epoch 79 | loss: 0.00341818 | val_loss: 0.00339578 | Time: 4891.13 ms [2020-11-24 14:01:10 main:581] : INFO : Epoch 80 | loss: 0.00328785 | val_loss: 0.00326472 | Time: 4879.18 ms [2020-11-24 14:01:15 main:581] : INFO : Epoch 81 | loss: 0.00316163 | val_loss: 0.00313231 | Time: 4881.57 ms [2020-11-24 14:01:20 main:581] : INFO : Epoch 82 | loss: 0.00303181 | val_loss: 0.00300461 | Time: 4873.74 ms [2020-11-24 14:01:25 main:581] : INFO : Epoch 83 | loss: 0.00290769 | val_loss: 0.0028837 | Time: 4873.09 ms [2020-11-24 14:01:30 main:581] : INFO : Epoch 84 | loss: 0.00280406 | val_loss: 0.00276486 | Time: 4877.67 ms [2020-11-24 14:01:35 main:581] : INFO : Epoch 85 | loss: 0.00266936 | val_loss: 0.0026476 | Time: 4882.57 ms [2020-11-24 14:01:39 main:581] : INFO : Epoch 86 | loss: 0.00255382 | val_loss: 0.00253003 | Time: 4845.04 ms [2020-11-24 14:01:44 main:581] : INFO : Epoch 87 | loss: 0.00244181 | val_loss: 0.00241649 | Time: 4814.89 ms [2020-11-24 14:01:49 main:581] : INFO : Epoch 88 | loss: 0.00233327 | val_loss: 0.00231064 | Time: 4858.42 ms [2020-11-24 14:01:54 main:581] : INFO : Epoch 89 | loss: 0.00222794 | val_loss: 0.00220413 | Time: 4839.82 ms [2020-11-24 14:01:59 main:581] : INFO : Epoch 90 | loss: 0.00212654 | val_loss: 0.00210588 | Time: 4880.41 ms [2020-11-24 14:02:04 main:581] : INFO : Epoch 91 | loss: 0.00202807 | val_loss: 0.00200797 | Time: 4869.17 ms [2020-11-24 14:02:09 main:581] : INFO : Epoch 92 | loss: 0.00193376 | val_loss: 0.00191748 | Time: 4852.36 ms [2020-11-24 14:02:13 main:581] : INFO : Epoch 93 | loss: 0.00184302 | val_loss: 0.00182428 | Time: 4905.91 ms [2020-11-24 14:02:18 main:581] : INFO : Epoch 94 | loss: 0.00175553 | val_loss: 0.00173598 | Time: 4900.79 ms [2020-11-24 14:02:23 main:581] : INFO : Epoch 95 | loss: 0.00167173 | val_loss: 0.00165279 | Time: 4907.98 ms [2020-11-24 14:02:28 main:581] : INFO : Epoch 96 | loss: 0.0015913 | val_loss: 0.00157603 | Time: 4848.39 ms [2020-11-24 14:02:33 main:581] : INFO : Epoch 97 | loss: 0.00151436 | val_loss: 0.00149841 | Time: 4866.54 ms [2020-11-24 14:02:38 main:581] : INFO : Epoch 98 | loss: 0.00144025 | val_loss: 0.00142807 | Time: 4872.27 ms [2020-11-24 14:02:43 main:581] : INFO : Epoch 99 | loss: 0.00137103 | val_loss: 0.00135548 | Time: 4875.64 ms [2020-11-24 14:02:48 main:581] : INFO : Epoch 100 | loss: 0.0013029 | val_loss: 0.00129133 | Time: 4856.36 ms [2020-11-24 14:02:52 main:581] : INFO : Epoch 101 | loss: 0.00123901 | val_loss: 0.00122888 | Time: 4862.5 ms [2020-11-24 14:02:57 main:581] : INFO : Epoch 102 | loss: 0.00117753 | val_loss: 0.00116973 | Time: 4847.99 ms [2020-11-24 14:03:02 main:581] : INFO : Epoch 103 | loss: 0.00111885 | val_loss: 0.00110795 | Time: 4843.48 ms [2020-11-24 14:03:07 main:581] : INFO : Epoch 104 | loss: 0.00106319 | val_loss: 0.00105511 | Time: 4842.65 ms [2020-11-24 14:03:12 main:581] : INFO : Epoch 105 | loss: 0.00101022 | val_loss: 0.000998988 | Time: 4837.03 ms [2020-11-24 14:03:17 main:581] : INFO : Epoch 106 | loss: 0.000959995 | val_loss: 0.000952239 | Time: 4831.18 ms [2020-11-24 14:03:21 main:581] : INFO : Epoch 107 | loss: 0.000912955 | val_loss: 0.000905588 | Time: 4849.3 ms [2020-11-24 14:03:26 main:581] : INFO : Epoch 108 | loss: 0.000867696 | val_loss: 0.000859722 | Time: 4831.43 ms [2020-11-24 14:03:31 main:581] : INFO : Epoch 109 | loss: 0.000825207 | val_loss: 0.000817208 | Time: 4841.37 ms [2020-11-24 14:03:36 main:581] : INFO : Epoch 110 | loss: 0.00078466 | val_loss: 0.000779767 | Time: 4879.56 ms [2020-11-24 14:03:41 main:581] : INFO : Epoch 111 | loss: 0.000747536 | val_loss: 0.000741552 | Time: 4886.46 ms [2020-11-24 14:03:46 main:581] : INFO : Epoch 112 | loss: 0.000711625 | val_loss: 0.000707311 | Time: 4855.53 ms [2020-11-24 14:03:51 main:581] : INFO : Epoch 113 | loss: 0.000677958 | val_loss: 0.000672346 | Time: 4808.16 ms [2020-11-24 14:03:55 main:581] : INFO : Epoch 114 | loss: 0.000646027 | val_loss: 0.000643638 | Time: 4835.64 ms [2020-11-24 14:04:00 main:581] : INFO : Epoch 115 | loss: 0.000615938 | val_loss: 0.000613213 | Time: 4849.29 ms [2020-11-24 14:04:05 main:581] : INFO : Epoch 116 | loss: 0.000586795 | val_loss: 0.000585193 | Time: 4826.4 ms [2020-11-24 14:04:10 main:581] : INFO : Epoch 117 | loss: 0.000559385 | val_loss: 0.000558401 | Time: 4868.74 ms [2020-11-24 14:04:15 main:581] : INFO : Epoch 118 | loss: 0.000534716 | val_loss: 0.000534073 | Time: 4863.88 ms [2020-11-24 14:04:20 main:581] : INFO : Epoch 119 | loss: 0.000510071 | val_loss: 0.000508819 | Time: 4889.79 ms [2020-11-24 14:04:25 main:581] : INFO : Epoch 120 | loss: 0.00048721 | val_loss: 0.00048615 | Time: 4863.41 ms [2020-11-24 14:04:29 main:581] : INFO : Epoch 121 | loss: 0.000465995 | val_loss: 0.000465802 | Time: 4872.59 ms [2020-11-24 14:04:34 main:581] : INFO : Epoch 122 | loss: 0.000445362 | val_loss: 0.000446172 | Time: 4847.16 ms [2020-11-24 14:04:39 main:581] : INFO : Epoch 123 | loss: 0.000426809 | val_loss: 0.000426376 | Time: 4863.06 ms [2020-11-24 14:04:44 main:581] : INFO : Epoch 124 | loss: 0.000407632 | val_loss: 0.000408305 | Time: 4893.36 ms [2020-11-24 14:04:49 main:581] : INFO : Epoch 125 | loss: 0.00039017 | val_loss: 0.000390722 | Time: 4888.39 ms [2020-11-24 14:04:54 main:581] : INFO : Epoch 126 | loss: 0.000373819 | val_loss: 0.000372499 | Time: 5130.94 ms [2020-11-24 14:04:59 main:581] : INFO : Epoch 127 | loss: 0.000357708 | val_loss: 0.000358676 | Time: 4888.5 ms [2020-11-24 14:05:04 main:581] : INFO : Epoch 128 | loss: 0.000342976 | val_loss: 0.000347233 | Time: 4905.81 ms [2020-11-24 14:05:09 main:581] : INFO : Epoch 129 | loss: 0.000328817 | val_loss: 0.000328902 | Time: 4875.14 ms [2020-11-24 14:05:14 main:581] : INFO : Epoch 130 | loss: 0.000315879 | val_loss: 0.0003161 | Time: 4866.66 ms [2020-11-24 14:05:18 main:581] : INFO : Epoch 131 | loss: 0.000303462 | val_loss: 0.000304716 | Time: 4883.23 ms [2020-11-24 14:05:23 main:581] : INFO : Epoch 132 | loss: 0.000290788 | val_loss: 0.000292844 | Time: 4863.72 ms [2020-11-24 14:05:28 main:581] : INFO : Epoch 133 | loss: 0.000279426 | val_loss: 0.000281334 | Time: 4884.44 ms [2020-11-24 14:05:33 main:581] : INFO : Epoch 134 | loss: 0.000267987 | val_loss: 0.000267955 | Time: 4899.61 ms [2020-11-24 14:05:38 main:581] : INFO : Epoch 135 | loss: 0.000257483 | val_loss: 0.00025959 | Time: 4750.21 ms [2020-11-24 14:05:43 main:581] : INFO : Epoch 136 | loss: 0.000247768 | val_loss: 0.000250768 | Time: 4795.93 ms [2020-11-24 14:05:48 main:581] : INFO : Epoch 137 | loss: 0.000238608 | val_loss: 0.000241516 | Time: 4846.12 ms [2020-11-24 14:05:52 main:581] : INFO : Epoch 138 | loss: 0.000230004 | val_loss: 0.000232114 | Time: 4816.57 ms [2020-11-24 14:05:57 main:581] : INFO : Epoch 139 | loss: 0.000221727 | val_loss: 0.000222313 | Time: 4802.18 ms [2020-11-24 14:06:02 main:581] : INFO : Epoch 140 | loss: 0.000213171 | val_loss: 0.000215381 | Time: 4826.55 ms [2020-11-24 14:06:07 main:581] : INFO : Epoch 141 | loss: 0.000205668 | val_loss: 0.000206557 | Time: 4858.92 ms [2020-11-24 14:06:12 main:581] : INFO : Epoch 142 | loss: 0.000198825 | val_loss: 0.000200506 | Time: 4844.36 ms [2020-11-24 14:06:17 main:581] : INFO : Epoch 143 | loss: 0.000192289 | val_loss: 0.000193963 | Time: 4991.82 ms [2020-11-24 14:06:22 main:581] : INFO : Epoch 144 | loss: 0.000184962 | val_loss: 0.000186561 | Time: 4861.51 ms [2020-11-24 14:06:27 main:581] : INFO : Epoch 145 | loss: 0.000179069 | val_loss: 0.000182507 | Time: 5013.57 ms [2020-11-24 14:06:31 main:581] : INFO : Epoch 146 | loss: 0.000173874 | val_loss: 0.000179068 | Time: 4798.82 ms [2020-11-24 14:06:36 main:581] : INFO : Epoch 147 | loss: 0.000168062 | val_loss: 0.000170962 | Time: 5046.52 ms [2020-11-24 14:06:42 main:581] : INFO : Epoch 148 | loss: 0.000162492 | val_loss: 0.000165047 | Time: 5194.42 ms [2020-11-24 14:06:47 main:581] : INFO : Epoch 149 | loss: 0.00015754 | val_loss: 0.000159998 | Time: 5053.03 ms [2020-11-24 14:06:51 main:581] : INFO : Epoch 150 | loss: 0.000152814 | val_loss: 0.000152649 | Time: 4825.92 ms [2020-11-24 14:06:56 main:581] : INFO : Epoch 151 | loss: 0.00014817 | val_loss: 0.000148295 | Time: 4840.32 ms [2020-11-24 14:07:01 main:581] : INFO : Epoch 152 | loss: 0.000143963 | val_loss: 0.000145216 | Time: 4859.9 ms [2020-11-24 14:07:06 main:581] : INFO : Epoch 153 | loss: 0.000138966 | val_loss: 0.000139742 | Time: 4818.66 ms [2020-11-24 14:07:11 main:581] : INFO : Epoch 154 | loss: 0.000135769 | val_loss: 0.000137254 | Time: 4850.97 ms [2020-11-24 14:07:16 main:581] : INFO : Epoch 155 | loss: 0.000131478 | val_loss: 0.000134524 | Time: 4893.81 ms [2020-11-24 14:07:21 main:581] : INFO : Epoch 156 | loss: 0.000127999 | val_loss: 0.000130943 | Time: 4871.73 ms [2020-11-24 14:07:25 main:581] : INFO : Epoch 157 | loss: 0.000124582 | val_loss: 0.000125698 | Time: 4857.39 ms [2020-11-24 14:07:30 main:581] : INFO : Epoch 158 | loss: 0.000121018 | val_loss: 0.000122889 | Time: 4862.38 ms [2020-11-24 14:07:35 main:581] : INFO : Epoch 159 | loss: 0.000117554 | val_loss: 0.000118025 | Time: 4874.57 ms [2020-11-24 14:07:40 main:581] : INFO : Epoch 160 | loss: 0.000114338 | val_loss: 0.000115871 | Time: 4860.76 ms [2020-11-24 14:07:45 main:581] : INFO : Epoch 161 | loss: 0.000112075 | val_loss: 0.000113429 | Time: 4873.25 ms [2020-11-24 14:07:50 main:581] : INFO : Epoch 162 | loss: 0.000108787 | val_loss: 0.000109284 | Time: 4842.95 ms [2020-11-24 14:07:55 main:581] : INFO : Epoch 163 | loss: 0.000105631 | val_loss: 0.00010799 | Time: 4828.9 ms [2020-11-24 14:07:59 main:581] : INFO : Epoch 164 | loss: 0.000103247 | val_loss: 0.000104172 | Time: 4796.73 ms [2020-11-24 14:08:04 main:581] : INFO : Epoch 165 | loss: 0.000101331 | val_loss: 0.000101941 | Time: 4820.88 ms [2020-11-24 14:08:09 main:581] : INFO : Epoch 166 | loss: 9.87346e-05 | val_loss: 9.92246e-05 | Time: 4853.07 ms [2020-11-24 14:08:14 main:581] : INFO : Epoch 167 | loss: 9.59621e-05 | val_loss: 9.81757e-05 | Time: 4885.41 ms [2020-11-24 14:08:19 main:581] : INFO : Epoch 168 | loss: 9.41334e-05 | val_loss: 9.51634e-05 | Time: 4874.24 ms [2020-11-24 14:08:24 main:581] : INFO : Epoch 169 | loss: 9.15113e-05 | val_loss: 9.46146e-05 | Time: 4868.03 ms [2020-11-24 14:08:29 main:581] : INFO : Epoch 170 | loss: 8.97078e-05 | val_loss: 8.97739e-05 | Time: 4868.37 ms [2020-11-24 14:08:33 main:581] : INFO : Epoch 171 | loss: 8.74298e-05 | val_loss: 8.788e-05 | Time: 4849.92 ms [2020-11-24 14:08:38 main:581] : INFO : Epoch 172 | loss: 8.6041e-05 | val_loss: 8.99939e-05 | Time: 4958.35 ms [2020-11-24 14:08:43 main:581] : INFO : Epoch 173 | loss: 8.41996e-05 | val_loss: 8.61366e-05 | Time: 4905.54 ms [2020-11-24 14:08:48 main:581] : INFO : Epoch 174 | loss: 8.21626e-05 | val_loss: 8.24411e-05 | Time: 4882.23 ms [2020-11-24 14:08:53 main:581] : INFO : Epoch 175 | loss: 8.02482e-05 | val_loss: 8.514e-05 | Time: 4847.21 ms [2020-11-24 14:08:58 main:581] : INFO : Epoch 176 | loss: 7.91902e-05 | val_loss: 8.12445e-05 | Time: 4801.6 ms [2020-11-24 14:09:03 main:581] : INFO : Epoch 177 | loss: 7.71857e-05 | val_loss: 7.81128e-05 | Time: 4783.7 ms [2020-11-24 14:09:07 main:581] : INFO : Epoch 178 | loss: 7.54616e-05 | val_loss: 7.7481e-05 | Time: 4883.17 ms [2020-11-24 14:09:12 main:581] : INFO : Epoch 179 | loss: 7.41326e-05 | val_loss: 7.53716e-05 | Time: 4866.14 ms [2020-11-24 14:09:17 main:581] : INFO : Epoch 180 | loss: 7.21792e-05 | val_loss: 7.31864e-05 | Time: 4851.71 ms [2020-11-24 14:09:22 main:581] : INFO : Epoch 181 | loss: 7.11698e-05 | val_loss: 7.24034e-05 | Time: 4854.82 ms [2020-11-24 14:09:27 main:581] : INFO : Epoch 182 | loss: 7.01208e-05 | val_loss: 7.09557e-05 | Time: 4900.62 ms [2020-11-24 14:09:32 main:581] : INFO : Epoch 183 | loss: 6.88795e-05 | val_loss: 7.29778e-05 | Time: 4894.91 ms [2020-11-24 14:09:37 main:581] : INFO : Epoch 184 | loss: 6.72457e-05 | val_loss: 6.75854e-05 | Time: 4875.99 ms [2020-11-24 14:09:42 main:581] : INFO : Epoch 185 | loss: 6.59582e-05 | val_loss: 6.72671e-05 | Time: 4839.86 ms [2020-11-24 14:09:46 main:581] : INFO : Epoch 186 | loss: 6.48321e-05 | val_loss: 6.74033e-05 | Time: 4922.54 ms [2020-11-24 14:09:51 main:581] : INFO : Epoch 187 | loss: 6.35862e-05 | val_loss: 6.41977e-05 | Time: 4925.57 ms [2020-11-24 14:09:56 main:581] : INFO : Epoch 188 | loss: 6.26193e-05 | val_loss: 6.4403e-05 | Time: 4854.62 ms [2020-11-24 14:10:01 main:581] : INFO : Epoch 189 | loss: 6.14636e-05 | val_loss: 6.22394e-05 | Time: 4833.17 ms [2020-11-24 14:10:06 main:581] : INFO : Epoch 190 | loss: 6.09466e-05 | val_loss: 6.19668e-05 | Time: 4841.76 ms [2020-11-24 14:10:11 main:581] : INFO : Epoch 191 | loss: 5.93543e-05 | val_loss: 6.05844e-05 | Time: 4833.15 ms [2020-11-24 14:10:16 main:581] : INFO : Epoch 192 | loss: 5.86122e-05 | val_loss: 5.8829e-05 | Time: 4827.92 ms [2020-11-24 14:10:16 main:604] : INFO : Saving trained model to model-final.pt, val_loss 5.8829e-05 [2020-11-24 14:10:16 main:610] : INFO : Saving end state to config to file [2020-11-24 14:10:16 main:615] : INFO : Success, exiting.. 14:10:16 (3272395): 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)