Task 2824987
| Name | rand_automata_0025-1604983204-28966-0_2 |
| Workunit | 1263712 |
| Created | 10 Nov 2020, 23:31:35 UTC |
| Sent | 10 Nov 2020, 23:33:55 UTC |
| Report deadline | 11 Nov 2020, 22:03:55 UTC |
| Received | 11 Nov 2020, 0:02:19 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 3985 |
| Run time | 14 min 3 sec |
| CPU time | 13 min 56 sec |
| Validate state | Valid |
| Credit | 959.40 |
| Device peak FLOPS | 3,338.19 GFLOPS |
| Application version | Machine Learning Dataset Generator (test) v9.75 (cuda10200) x86_64-pc-linux-gnu |
| Peak working set size | 2.26 GB |
| Peak swap size | 9.65 GB |
| Peak disk usage | 0.59 MB |
Stderr output
<core_client_version>7.16.11</core_client_version> <![CDATA[ <stderr_txt> DEBUG: Args: ../../projects/www.mlcathome.org_mlcathome/mldstest_9.75_x86_64-pc-linux-gnu__cuda10200 -a LSTM -w 64 -b 2 -s 32 --lr 0.001 --maxepoch 192 --device 0 nthreads: 1 gpudev: 0 Re-exec()-ing to set number of threads correctly... Machine Learning Dataset Generator v9.75 (Linux/x86_64) (libTorch: release/1.6 GPU: GeForce GTX 1650) device already set [2020-11-10 18:48:00 main:435] : INFO : Set logging level to 1 [2020-11-10 18:48:00 main:441] : INFO : Running in BOINC Client mode [2020-11-10 18:48:00 main:444] : INFO : Resolving all filenames [2020-11-10 18:48:00 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-train-val-dataset.hdf5 (exists = 1) [2020-11-10 18:48:00 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-1604983204-28966-0_2_r2092511280_1 (exists = 0) [2020-11-10 18:48:00 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-1604983204-28966-0_2_r2092511280_0 (exists = 0) [2020-11-10 18:48:00 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 0) [2020-11-10 18:48:00 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-10 18:48:00 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-train-val-dataset.hdf5 [2020-11-10 18:48:00 main:474] : INFO : Configuration: [2020-11-10 18:48:00 main:475] : INFO : Model type: LSTM [2020-11-10 18:48:00 main:476] : INFO : Validation Loss Threshold: 0.0001 [2020-11-10 18:48:00 main:477] : INFO : Max Epochs: 192 [2020-11-10 18:48:00 main:478] : INFO : Batch Size: 32 [2020-11-10 18:48:00 main:479] : INFO : Learning Rate: 0.001 [2020-11-10 18:48:00 main:480] : INFO : Patience: 10 [2020-11-10 18:48:00 main:481] : INFO : Hidden Width: 64 [2020-11-10 18:48:00 main:482] : INFO : # Recurrent Layers: 4 [2020-11-10 18:48:00 main:483] : INFO : # Backend Layers: 2 [2020-11-10 18:48:00 main:484] : INFO : # Threads: 1 [2020-11-10 18:48:00 main:486] : INFO : Preparing Dataset [2020-11-10 18:48:00 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 [2020-11-10 18:48:00 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 [2020-11-10 18:48:03 load:106] : INFO : Successfully loaded dataset of 4096 examples into memory. [2020-11-10 18:48:03 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 [2020-11-10 18:48:03 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 [2020-11-10 18:48:03 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-10 18:48:03 main:494] : INFO : Creating Model [2020-11-10 18:48:03 main:507] : INFO : Preparing config file [2020-11-10 18:48:03 main:519] : INFO : Creating new config file [2020-11-10 18:48:06 main:559] : INFO : Loading DataLoader into Memory [2020-11-10 18:48:06 main:562] : INFO : Starting Training [2020-11-10 18:48:11 main:574] : INFO : Epoch 1 | loss: 0.0661781 | val_loss: 0.0657313 | Time: 5063.2 ms [2020-11-10 18:48:15 main:574] : INFO : Epoch 2 | loss: 0.0651201 | val_loss: 0.0640375 | Time: 4242.64 ms [2020-11-10 18:48:19 main:574] : INFO : Epoch 3 | loss: 0.0620383 | val_loss: 0.0607384 | Time: 4345.27 ms [2020-11-10 18:48:24 main:574] : INFO : Epoch 4 | loss: 0.0594987 | val_loss: 0.0582203 | Time: 4322.55 ms [2020-11-10 18:48:28 main:574] : INFO : Epoch 5 | loss: 0.0572195 | val_loss: 0.0563227 | Time: 4191.74 ms [2020-11-10 18:48:32 main:574] : INFO : Epoch 6 | loss: 0.0555485 | val_loss: 0.0547888 | Time: 4160.1 ms [2020-11-10 18:48:36 main:574] : INFO : Epoch 7 | loss: 0.0542337 | val_loss: 0.0534962 | Time: 4331.3 ms [2020-11-10 18:48:41 main:574] : INFO : Epoch 8 | loss: 0.0530421 | val_loss: 0.0524645 | Time: 4232.15 ms [2020-11-10 18:48:45 main:574] : INFO : Epoch 9 | loss: 0.0519665 | val_loss: 0.0515601 | Time: 4214.81 ms [2020-11-10 18:48:49 main:574] : INFO : Epoch 10 | loss: 0.0509394 | val_loss: 0.0504686 | Time: 4457.06 ms [2020-11-10 18:48:54 main:574] : INFO : Epoch 11 | loss: 0.0498913 | val_loss: 0.0495163 | Time: 4163.68 ms [2020-11-10 18:48:58 main:574] : INFO : Epoch 12 | loss: 0.048868 | val_loss: 0.0485435 | Time: 4247.12 ms [2020-11-10 18:49:02 main:574] : INFO : Epoch 13 | loss: 0.047723 | val_loss: 0.0475537 | Time: 4309.92 ms [2020-11-10 18:49:07 main:574] : INFO : Epoch 14 | loss: 0.0464621 | val_loss: 0.0459326 | Time: 4426.49 ms [2020-11-10 18:49:11 main:574] : INFO : Epoch 15 | loss: 0.0450531 | val_loss: 0.0447917 | Time: 4198.31 ms [2020-11-10 18:49:15 main:574] : INFO : Epoch 16 | loss: 0.0434067 | val_loss: 0.0429884 | Time: 4391.12 ms [2020-11-10 18:49:20 main:574] : INFO : Epoch 17 | loss: 0.0415807 | val_loss: 0.0412233 | Time: 4378 ms [2020-11-10 18:49:24 main:574] : INFO : Epoch 18 | loss: 0.0393671 | val_loss: 0.0396193 | Time: 4170.6 ms [2020-11-10 18:49:28 main:574] : INFO : Epoch 19 | loss: 0.0368679 | val_loss: 0.0368449 | Time: 4046.4 ms [2020-11-10 18:49:32 main:574] : INFO : Epoch 20 | loss: 0.0341596 | val_loss: 0.0348831 | Time: 4004.12 ms [2020-11-10 18:49:36 main:574] : INFO : Epoch 21 | loss: 0.0312406 | val_loss: 0.0312471 | Time: 4352.22 ms [2020-11-10 18:49:41 main:574] : INFO : Epoch 22 | loss: 0.0281214 | val_loss: 0.0289805 | Time: 4460.17 ms [2020-11-10 18:49:45 main:574] : INFO : Epoch 23 | loss: 0.025424 | val_loss: 0.025728 | Time: 4297 ms [2020-11-10 18:49:49 main:574] : INFO : Epoch 24 | loss: 0.0272709 | val_loss: 0.0240282 | Time: 4220.82 ms [2020-11-10 18:49:53 main:574] : INFO : Epoch 25 | loss: 0.0215275 | val_loss: 0.0217957 | Time: 4284.23 ms [2020-11-10 18:49:58 main:574] : INFO : Epoch 26 | loss: 0.0573964 | val_loss: 0.0569931 | Time: 4250.53 ms [2020-11-10 18:50:02 main:574] : INFO : Epoch 27 | loss: 0.054903 | val_loss: 0.0527762 | Time: 4292.08 ms [2020-11-10 18:50:06 main:574] : INFO : Epoch 28 | loss: 0.0491992 | val_loss: 0.0449665 | Time: 4393.65 ms [2020-11-10 18:50:11 main:574] : INFO : Epoch 29 | loss: 0.0344913 | val_loss: 0.024521 | Time: 4311.43 ms [2020-11-10 18:50:15 main:574] : INFO : Epoch 30 | loss: 0.0227965 | val_loss: 0.0198425 | Time: 4269.57 ms [2020-11-10 18:50:19 main:574] : INFO : Epoch 31 | loss: 0.0183247 | val_loss: 0.0188348 | Time: 4218.01 ms [2020-11-10 18:50:23 main:574] : INFO : Epoch 32 | loss: 0.0171918 | val_loss: 0.0161977 | Time: 4268.03 ms [2020-11-10 18:50:28 main:574] : INFO : Epoch 33 | loss: 0.0164329 | val_loss: 0.0149667 | Time: 4270.93 ms [2020-11-10 18:50:32 main:574] : INFO : Epoch 34 | loss: 0.0121227 | val_loss: 0.0126831 | Time: 4175.97 ms [2020-11-10 18:50:36 main:574] : INFO : Epoch 35 | loss: 0.0109389 | val_loss: 0.0108068 | Time: 4345.43 ms [2020-11-10 18:50:41 main:574] : INFO : Epoch 36 | loss: 0.0312806 | val_loss: 0.0606512 | Time: 4421.45 ms [2020-11-10 18:50:45 main:574] : INFO : Epoch 37 | loss: 0.0591541 | val_loss: 0.0577695 | Time: 4464.39 ms [2020-11-10 18:50:49 main:574] : INFO : Epoch 38 | loss: 0.0564803 | val_loss: 0.0549859 | Time: 4424.2 ms [2020-11-10 18:50:54 main:574] : INFO : Epoch 39 | loss: 0.0534817 | val_loss: 0.0515279 | Time: 4352.98 ms [2020-11-10 18:50:58 main:574] : INFO : Epoch 40 | loss: 0.0490798 | val_loss: 0.0457106 | Time: 4265.67 ms [2020-11-10 18:51:02 main:574] : INFO : Epoch 41 | loss: 0.0394825 | val_loss: 0.031901 | Time: 4371.38 ms [2020-11-10 18:51:07 main:574] : INFO : Epoch 42 | loss: 0.0254972 | val_loss: 0.0443822 | Time: 4446.97 ms [2020-11-10 18:51:11 main:574] : INFO : Epoch 43 | loss: 0.0461071 | val_loss: 0.0586407 | Time: 4360.64 ms [2020-11-10 18:51:16 main:574] : INFO : Epoch 44 | loss: 0.0557047 | val_loss: 0.0524684 | Time: 4360.56 ms [2020-11-10 18:51:20 main:574] : INFO : Epoch 45 | loss: 0.0465708 | val_loss: 0.0375179 | Time: 4555.85 ms [2020-11-10 18:51:25 main:574] : INFO : Epoch 46 | loss: 0.0321449 | val_loss: 0.0229937 | Time: 4510.82 ms [2020-11-10 18:51:29 main:574] : INFO : Epoch 47 | loss: 0.0244467 | val_loss: 0.018252 | Time: 4299.18 ms [2020-11-10 18:51:33 main:574] : INFO : Epoch 48 | loss: 0.0156874 | val_loss: 0.0136701 | Time: 4310.62 ms [2020-11-10 18:51:38 main:574] : INFO : Epoch 49 | loss: 0.0118644 | val_loss: 0.0121426 | Time: 4366.68 ms [2020-11-10 18:51:42 main:574] : INFO : Epoch 50 | loss: 0.01104 | val_loss: 0.012271 | Time: 4224 ms [2020-11-10 18:51:47 main:574] : INFO : Epoch 51 | loss: 0.0113736 | val_loss: 0.0104686 | Time: 4633.76 ms [2020-11-10 18:51:51 main:574] : INFO : Epoch 52 | loss: 0.0107057 | val_loss: 0.0104002 | Time: 4509.46 ms [2020-11-10 18:51:55 main:574] : INFO : Epoch 53 | loss: 0.0362662 | val_loss: 0.0538296 | Time: 4348.17 ms [2020-11-10 18:52:00 main:574] : INFO : Epoch 54 | loss: 0.0489327 | val_loss: 0.0421508 | Time: 4325.87 ms [2020-11-10 18:52:04 main:574] : INFO : Epoch 55 | loss: 0.0273971 | val_loss: 0.0154941 | Time: 4368.44 ms [2020-11-10 18:52:08 main:574] : INFO : Epoch 56 | loss: 0.012574 | val_loss: 0.0120393 | Time: 4139.83 ms [2020-11-10 18:52:13 main:574] : INFO : Epoch 57 | loss: 0.0111206 | val_loss: 0.0102876 | Time: 4417.55 ms [2020-11-10 18:52:17 main:574] : INFO : Epoch 58 | loss: 0.00932483 | val_loss: 0.00926161 | Time: 4285.34 ms [2020-11-10 18:52:21 main:574] : INFO : Epoch 59 | loss: 0.00868896 | val_loss: 0.00887885 | Time: 4420.28 ms [2020-11-10 18:52:26 main:574] : INFO : Epoch 60 | loss: 0.00833794 | val_loss: 0.00851645 | Time: 4396.26 ms [2020-11-10 18:52:30 main:574] : INFO : Epoch 61 | loss: 0.00803816 | val_loss: 0.00820869 | Time: 4132.53 ms [2020-11-10 18:52:34 main:574] : INFO : Epoch 62 | loss: 0.00778545 | val_loss: 0.00790761 | Time: 4430.16 ms [2020-11-10 18:52:39 main:574] : INFO : Epoch 63 | loss: 0.0075788 | val_loss: 0.00772297 | Time: 4382.23 ms [2020-11-10 18:52:43 main:574] : INFO : Epoch 64 | loss: 0.00735053 | val_loss: 0.00744211 | Time: 4314.81 ms [2020-11-10 18:52:47 main:574] : INFO : Epoch 65 | loss: 0.00715957 | val_loss: 0.00723384 | Time: 4472.23 ms [2020-11-10 18:52:52 main:574] : INFO : Epoch 66 | loss: 0.00696668 | val_loss: 0.00703861 | Time: 4517.02 ms [2020-11-10 18:52:56 main:574] : INFO : Epoch 67 | loss: 0.0067901 | val_loss: 0.00685714 | Time: 4274.73 ms [2020-11-10 18:53:01 main:574] : INFO : Epoch 68 | loss: 0.00662314 | val_loss: 0.00668743 | Time: 4522.33 ms [2020-11-10 18:53:05 main:574] : INFO : Epoch 69 | loss: 0.00646077 | val_loss: 0.00651221 | Time: 4350.03 ms [2020-11-10 18:53:10 main:574] : INFO : Epoch 70 | loss: 0.00630159 | val_loss: 0.00634896 | Time: 4431.26 ms [2020-11-10 18:53:14 main:574] : INFO : Epoch 71 | loss: 0.00614762 | val_loss: 0.00619165 | Time: 4314.2 ms [2020-11-10 18:53:18 main:574] : INFO : Epoch 72 | loss: 0.00599671 | val_loss: 0.00603395 | Time: 4355.4 ms [2020-11-10 18:53:23 main:574] : INFO : Epoch 73 | loss: 0.00584617 | val_loss: 0.00588485 | Time: 4405.81 ms [2020-11-10 18:53:27 main:574] : INFO : Epoch 74 | loss: 0.00571064 | val_loss: 0.00600208 | Time: 4348.77 ms [2020-11-10 18:53:31 main:574] : INFO : Epoch 75 | loss: 0.00558343 | val_loss: 0.00558992 | Time: 4418.63 ms [2020-11-10 18:53:36 main:574] : INFO : Epoch 76 | loss: 0.00541451 | val_loss: 0.00543968 | Time: 4440.58 ms [2020-11-10 18:53:40 main:574] : INFO : Epoch 77 | loss: 0.00527279 | val_loss: 0.00529357 | Time: 4367.87 ms [2020-11-10 18:53:45 main:574] : INFO : Epoch 78 | loss: 0.00513488 | val_loss: 0.00515761 | Time: 4423.86 ms [2020-11-10 18:53:49 main:574] : INFO : Epoch 79 | loss: 0.00499928 | val_loss: 0.0050177 | Time: 4167.83 ms [2020-11-10 18:53:53 main:574] : INFO : Epoch 80 | loss: 0.00486724 | val_loss: 0.00488421 | Time: 4432.26 ms [2020-11-10 18:53:58 main:574] : INFO : Epoch 81 | loss: 0.00473596 | val_loss: 0.00474796 | Time: 4481.83 ms [2020-11-10 18:54:02 main:574] : INFO : Epoch 82 | loss: 0.00460637 | val_loss: 0.00461819 | Time: 4502.67 ms [2020-11-10 18:54:07 main:574] : INFO : Epoch 83 | loss: 0.00447833 | val_loss: 0.00448782 | Time: 4412.36 ms [2020-11-10 18:54:11 main:574] : INFO : Epoch 84 | loss: 0.00435463 | val_loss: 0.00436161 | Time: 4304.04 ms [2020-11-10 18:54:15 main:574] : INFO : Epoch 85 | loss: 0.00423125 | val_loss: 0.00423974 | Time: 4361.19 ms [2020-11-10 18:54:20 main:574] : INFO : Epoch 86 | loss: 0.00411059 | val_loss: 0.00411324 | Time: 4325.45 ms [2020-11-10 18:54:24 main:574] : INFO : Epoch 87 | loss: 0.00399192 | val_loss: 0.00399462 | Time: 4459.45 ms [2020-11-10 18:54:29 main:574] : INFO : Epoch 88 | loss: 0.00387521 | val_loss: 0.00387768 | Time: 4407.61 ms [2020-11-10 18:54:33 main:574] : INFO : Epoch 89 | loss: 0.00376125 | val_loss: 0.00375839 | Time: 4273.54 ms [2020-11-10 18:54:37 main:574] : INFO : Epoch 90 | loss: 0.00364863 | val_loss: 0.00364467 | Time: 4310.63 ms [2020-11-10 18:54:41 main:574] : INFO : Epoch 91 | loss: 0.003539 | val_loss: 0.00353565 | Time: 4306.58 ms [2020-11-10 18:54:46 main:574] : INFO : Epoch 92 | loss: 0.00343137 | val_loss: 0.00342503 | Time: 4278.72 ms [2020-11-10 18:54:50 main:574] : INFO : Epoch 93 | loss: 0.00332545 | val_loss: 0.0033222 | Time: 4549.77 ms [2020-11-10 18:54:55 main:574] : INFO : Epoch 94 | loss: 0.00322149 | val_loss: 0.00321897 | Time: 4613.5 ms [2020-11-10 18:54:59 main:574] : INFO : Epoch 95 | loss: 0.00311969 | val_loss: 0.00311738 | Time: 4416.85 ms [2020-11-10 18:55:04 main:574] : INFO : Epoch 96 | loss: 0.00302072 | val_loss: 0.00301579 | Time: 4494.4 ms [2020-11-10 18:55:08 main:574] : INFO : Epoch 97 | loss: 0.00292497 | val_loss: 0.00291593 | Time: 4290.81 ms [2020-11-10 18:55:12 main:574] : INFO : Epoch 98 | loss: 0.00283017 | val_loss: 0.00282049 | Time: 4393.03 ms [2020-11-10 18:55:17 main:574] : INFO : Epoch 99 | loss: 0.0027391 | val_loss: 0.00272927 | Time: 4403.97 ms [2020-11-10 18:55:21 main:574] : INFO : Epoch 100 | loss: 0.00264936 | val_loss: 0.00264021 | Time: 4350.98 ms [2020-11-10 18:55:25 main:574] : INFO : Epoch 101 | loss: 0.00256201 | val_loss: 0.00255476 | Time: 4262.87 ms [2020-11-10 18:55:30 main:574] : INFO : Epoch 102 | loss: 0.00247696 | val_loss: 0.00246477 | Time: 4258.9 ms [2020-11-10 18:55:34 main:574] : INFO : Epoch 103 | loss: 0.00239329 | val_loss: 0.00238693 | Time: 4307.92 ms [2020-11-10 18:55:38 main:574] : INFO : Epoch 104 | loss: 0.0023118 | val_loss: 0.00230492 | Time: 4264.04 ms [2020-11-10 18:55:43 main:574] : INFO : Epoch 105 | loss: 0.00223444 | val_loss: 0.00222387 | Time: 4359.64 ms [2020-11-10 18:55:47 main:574] : INFO : Epoch 106 | loss: 0.00215674 | val_loss: 0.00214678 | Time: 4222.85 ms [2020-11-10 18:55:51 main:574] : INFO : Epoch 107 | loss: 0.00208293 | val_loss: 0.00207179 | Time: 4353.1 ms [2020-11-10 18:55:55 main:574] : INFO : Epoch 108 | loss: 0.00200995 | val_loss: 0.00199982 | Time: 4256.98 ms [2020-11-10 18:56:00 main:574] : INFO : Epoch 109 | loss: 0.0019398 | val_loss: 0.00193031 | Time: 4424.58 ms [2020-11-10 18:56:04 main:574] : INFO : Epoch 110 | loss: 0.0018709 | val_loss: 0.00186289 | Time: 4078.54 ms [2020-11-10 18:56:08 main:574] : INFO : Epoch 111 | loss: 0.00180553 | val_loss: 0.0017985 | Time: 4169.16 ms [2020-11-10 18:56:13 main:574] : INFO : Epoch 112 | loss: 0.00174088 | val_loss: 0.0017319 | Time: 4523.17 ms [2020-11-10 18:56:17 main:574] : INFO : Epoch 113 | loss: 0.00167951 | val_loss: 0.00166862 | Time: 4497.22 ms [2020-11-10 18:56:22 main:574] : INFO : Epoch 114 | loss: 0.00161861 | val_loss: 0.00160902 | Time: 4387.93 ms [2020-11-10 18:56:26 main:574] : INFO : Epoch 115 | loss: 0.00155865 | val_loss: 0.00155585 | Time: 4355.81 ms [2020-11-10 18:56:30 main:574] : INFO : Epoch 116 | loss: 0.00150199 | val_loss: 0.00149987 | Time: 4221.85 ms [2020-11-10 18:56:35 main:574] : INFO : Epoch 117 | loss: 0.00144891 | val_loss: 0.00144063 | Time: 4449.9 ms [2020-11-10 18:56:39 main:574] : INFO : Epoch 118 | loss: 0.00139441 | val_loss: 0.00139028 | Time: 4476.89 ms [2020-11-10 18:56:43 main:574] : INFO : Epoch 119 | loss: 0.00134392 | val_loss: 0.00134164 | Time: 4284.36 ms [2020-11-10 18:56:48 main:574] : INFO : Epoch 120 | loss: 0.00129503 | val_loss: 0.00129714 | Time: 4416.66 ms [2020-11-10 18:56:52 main:574] : INFO : Epoch 121 | loss: 0.00124649 | val_loss: 0.00124606 | Time: 4453.97 ms [2020-11-10 18:56:57 main:574] : INFO : Epoch 122 | loss: 0.00120195 | val_loss: 0.0012019 | Time: 4395.78 ms [2020-11-10 18:57:01 main:574] : INFO : Epoch 123 | loss: 0.00115715 | val_loss: 0.00115554 | Time: 4376 ms [2020-11-10 18:57:05 main:574] : INFO : Epoch 124 | loss: 0.00111593 | val_loss: 0.00111402 | Time: 4349.11 ms [2020-11-10 18:57:10 main:574] : INFO : Epoch 125 | loss: 0.0010741 | val_loss: 0.00107534 | Time: 4259.87 ms [2020-11-10 18:57:14 main:574] : INFO : Epoch 126 | loss: 0.00103532 | val_loss: 0.00103775 | Time: 4333.64 ms [2020-11-10 18:57:18 main:574] : INFO : Epoch 127 | loss: 0.00099822 | val_loss: 0.00100027 | Time: 4326.96 ms [2020-11-10 18:57:23 main:574] : INFO : Epoch 128 | loss: 0.000961595 | val_loss: 0.000964097 | Time: 4229.29 ms [2020-11-10 18:57:27 main:574] : INFO : Epoch 129 | loss: 0.000926159 | val_loss: 0.000930476 | Time: 4409.3 ms [2020-11-10 18:57:31 main:574] : INFO : Epoch 130 | loss: 0.000893785 | val_loss: 0.000895347 | Time: 4062.42 ms [2020-11-10 18:57:35 main:574] : INFO : Epoch 131 | loss: 0.000862792 | val_loss: 0.000863801 | Time: 4420.05 ms [2020-11-10 18:57:40 main:574] : INFO : Epoch 132 | loss: 0.000832345 | val_loss: 0.000837121 | Time: 4358.57 ms [2020-11-10 18:57:44 main:574] : INFO : Epoch 133 | loss: 0.00080379 | val_loss: 0.000808299 | Time: 4355.42 ms [2020-11-10 18:57:49 main:574] : INFO : Epoch 134 | loss: 0.000775597 | val_loss: 0.000785218 | Time: 4420.96 ms [2020-11-10 18:57:53 main:574] : INFO : Epoch 135 | loss: 0.000750037 | val_loss: 0.000757397 | Time: 4396.23 ms [2020-11-10 18:57:57 main:574] : INFO : Epoch 136 | loss: 0.000723718 | val_loss: 0.000731804 | Time: 4237.32 ms [2020-11-10 18:58:02 main:574] : INFO : Epoch 137 | loss: 0.000699855 | val_loss: 0.000707369 | Time: 4327.53 ms [2020-11-10 18:58:06 main:574] : INFO : Epoch 138 | loss: 0.000676347 | val_loss: 0.00068212 | Time: 4391 ms [2020-11-10 18:58:10 main:574] : INFO : Epoch 139 | loss: 0.000654252 | val_loss: 0.000661787 | Time: 4336.5 ms [2020-11-10 18:58:14 main:574] : INFO : Epoch 140 | loss: 0.000634193 | val_loss: 0.000642814 | Time: 4154.47 ms [2020-11-10 18:58:19 main:574] : INFO : Epoch 141 | loss: 0.000613851 | val_loss: 0.00061948 | Time: 4181.28 ms [2020-11-10 18:58:23 main:574] : INFO : Epoch 142 | loss: 0.000594675 | val_loss: 0.000605473 | Time: 4224.54 ms [2020-11-10 18:58:27 main:574] : INFO : Epoch 143 | loss: 0.000575306 | val_loss: 0.000584187 | Time: 4331.92 ms [2020-11-10 18:58:31 main:574] : INFO : Epoch 144 | loss: 0.000557155 | val_loss: 0.00056393 | Time: 4370.88 ms [2020-11-10 18:58:36 main:574] : INFO : Epoch 145 | loss: 0.000539459 | val_loss: 0.000550739 | Time: 4406.17 ms [2020-11-10 18:58:40 main:574] : INFO : Epoch 146 | loss: 0.000523028 | val_loss: 0.000534698 | Time: 4482.6 ms [2020-11-10 18:58:45 main:574] : INFO : Epoch 147 | loss: 0.000507046 | val_loss: 0.000518179 | Time: 4237.69 ms [2020-11-10 18:58:49 main:574] : INFO : Epoch 148 | loss: 0.000492369 | val_loss: 0.000502285 | Time: 4324.83 ms [2020-11-10 18:58:53 main:574] : INFO : Epoch 149 | loss: 0.000477664 | val_loss: 0.000490044 | Time: 4346.89 ms [2020-11-10 18:58:58 main:574] : INFO : Epoch 150 | loss: 0.000463553 | val_loss: 0.000472974 | Time: 4418.02 ms [2020-11-10 18:59:02 main:574] : INFO : Epoch 151 | loss: 0.000450852 | val_loss: 0.000459573 | Time: 4365.3 ms [2020-11-10 18:59:06 main:574] : INFO : Epoch 152 | loss: 0.000437638 | val_loss: 0.000448175 | Time: 4389.69 ms [2020-11-10 18:59:11 main:574] : INFO : Epoch 153 | loss: 0.000426144 | val_loss: 0.000438561 | Time: 4198.15 ms [2020-11-10 18:59:15 main:574] : INFO : Epoch 154 | loss: 0.000413729 | val_loss: 0.000427142 | Time: 4376.28 ms [2020-11-10 18:59:19 main:574] : INFO : Epoch 155 | loss: 0.00040271 | val_loss: 0.000415068 | Time: 4282.87 ms [2020-11-10 18:59:24 main:574] : INFO : Epoch 156 | loss: 0.000392274 | val_loss: 0.000404011 | Time: 4382.09 ms [2020-11-10 18:59:28 main:574] : INFO : Epoch 157 | loss: 0.000382198 | val_loss: 0.000397454 | Time: 4378.17 ms [2020-11-10 18:59:32 main:574] : INFO : Epoch 158 | loss: 0.00037208 | val_loss: 0.000383126 | Time: 4365.14 ms [2020-11-10 18:59:37 main:574] : INFO : Epoch 159 | loss: 0.00036326 | val_loss: 0.000374157 | Time: 4411.62 ms [2020-11-10 18:59:41 main:574] : INFO : Epoch 160 | loss: 0.000354029 | val_loss: 0.0003662 | Time: 4340.24 ms [2020-11-10 18:59:45 main:574] : INFO : Epoch 161 | loss: 0.000345289 | val_loss: 0.000355639 | Time: 4199.16 ms [2020-11-10 18:59:50 main:574] : INFO : Epoch 162 | loss: 0.000337031 | val_loss: 0.000347869 | Time: 4453.57 ms [2020-11-10 18:59:54 main:574] : INFO : Epoch 163 | loss: 0.000328255 | val_loss: 0.000338719 | Time: 4240.68 ms [2020-11-10 18:59:58 main:574] : INFO : Epoch 164 | loss: 0.000321632 | val_loss: 0.000331108 | Time: 4281.56 ms [2020-11-10 19:00:03 main:574] : INFO : Epoch 165 | loss: 0.000313934 | val_loss: 0.000325501 | Time: 4436.64 ms [2020-11-10 19:00:07 main:574] : INFO : Epoch 166 | loss: 0.000306624 | val_loss: 0.000319693 | Time: 4379.12 ms [2020-11-10 19:00:11 main:574] : INFO : Epoch 167 | loss: 0.000300207 | val_loss: 0.000309423 | Time: 4174.82 ms [2020-11-10 19:00:16 main:574] : INFO : Epoch 168 | loss: 0.000294049 | val_loss: 0.000307697 | Time: 4256.02 ms [2020-11-10 19:00:20 main:574] : INFO : Epoch 169 | loss: 0.000287605 | val_loss: 0.000299259 | Time: 4295.72 ms [2020-11-10 19:00:24 main:574] : INFO : Epoch 170 | loss: 0.000281665 | val_loss: 0.000294553 | Time: 4447 ms [2020-11-10 19:00:29 main:574] : INFO : Epoch 171 | loss: 0.000276005 | val_loss: 0.000286137 | Time: 4493.79 ms [2020-11-10 19:00:33 main:574] : INFO : Epoch 172 | loss: 0.00027014 | val_loss: 0.000281331 | Time: 4202.5 ms [2020-11-10 19:00:37 main:574] : INFO : Epoch 173 | loss: 0.000264796 | val_loss: 0.000275121 | Time: 4282.17 ms [2020-11-10 19:00:42 main:574] : INFO : Epoch 174 | loss: 0.00026031 | val_loss: 0.00026936 | Time: 4348.74 ms [2020-11-10 19:00:46 main:574] : INFO : Epoch 175 | loss: 0.000254765 | val_loss: 0.000263371 | Time: 4376.9 ms [2020-11-10 19:00:51 main:574] : INFO : Epoch 176 | loss: 0.000250063 | val_loss: 0.000263014 | Time: 4484.13 ms [2020-11-10 19:00:55 main:574] : INFO : Epoch 177 | loss: 0.000245158 | val_loss: 0.000255209 | Time: 4360.05 ms [2020-11-10 19:00:59 main:574] : INFO : Epoch 178 | loss: 0.000240776 | val_loss: 0.000250782 | Time: 4276.43 ms [2020-11-10 19:01:04 main:574] : INFO : Epoch 179 | loss: 0.000237063 | val_loss: 0.000246431 | Time: 4457.48 ms [2020-11-10 19:01:08 main:574] : INFO : Epoch 180 | loss: 0.000232543 | val_loss: 0.000241109 | Time: 4337.21 ms [2020-11-10 19:01:12 main:574] : INFO : Epoch 181 | loss: 0.0002284 | val_loss: 0.000238731 | Time: 4263.03 ms [2020-11-10 19:01:17 main:574] : INFO : Epoch 182 | loss: 0.000224072 | val_loss: 0.000235693 | Time: 4392.34 ms [2020-11-10 19:01:21 main:574] : INFO : Epoch 183 | loss: 0.000220861 | val_loss: 0.000235567 | Time: 4172.57 ms [2020-11-10 19:01:25 main:574] : INFO : Epoch 184 | loss: 0.000217758 | val_loss: 0.000228306 | Time: 4382.27 ms [2020-11-10 19:01:30 main:574] : INFO : Epoch 185 | loss: 0.000213623 | val_loss: 0.000223769 | Time: 4401.39 ms [2020-11-10 19:01:34 main:574] : INFO : Epoch 186 | loss: 0.000209815 | val_loss: 0.000219854 | Time: 4450.77 ms [2020-11-10 19:01:38 main:574] : INFO : Epoch 187 | loss: 0.000206479 | val_loss: 0.000216167 | Time: 4335.04 ms [2020-11-10 19:01:43 main:574] : INFO : Epoch 188 | loss: 0.000204331 | val_loss: 0.000213594 | Time: 4367.47 ms [2020-11-10 19:01:47 main:574] : INFO : Epoch 189 | loss: 0.000200297 | val_loss: 0.000209677 | Time: 4264.45 ms [2020-11-10 19:01:51 main:574] : INFO : Epoch 190 | loss: 0.000196897 | val_loss: 0.000209165 | Time: 4462.42 ms [2020-11-10 19:01:56 main:574] : INFO : Epoch 191 | loss: 0.000194516 | val_loss: 0.000205023 | Time: 4471.25 ms [2020-11-10 19:02:00 main:574] : INFO : Epoch 192 | loss: 0.0001918 | val_loss: 0.000200897 | Time: 4365.89 ms [2020-11-10 19:02:00 main:597] : INFO : Saving trained model to model-final.pt, val_loss 0.000200897 [2020-11-10 19:02:00 main:603] : INFO : Saving end state to config to file [2020-11-10 19:02:00 main:608] : INFO : Success, exiting.. 19:02:00 (13028): 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)