Task 2824975
| Name | rand_automata_0011-1604983196-28679-0_2 |
| Workunit | 1263697 |
| Created | 10 Nov 2020, 23:31:35 UTC |
| Sent | 10 Nov 2020, 23:35:48 UTC |
| Report deadline | 11 Nov 2020, 22:05:48 UTC |
| Received | 11 Nov 2020, 3:05:34 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 3985 |
| Run time | 14 min 9 sec |
| CPU time | 14 min 1 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 | 0.60 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 21:51:10 main:435] : INFO : Set logging level to 1 [2020-11-10 21:51:10 main:441] : INFO : Running in BOINC Client mode [2020-11-10 21:51:10 main:444] : INFO : Resolving all filenames [2020-11-10 21:51:10 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0011-train-val-dataset.hdf5 (exists = 1) [2020-11-10 21:51:10 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0011-1604983196-28679-0_2_r1890249474_1 (exists = 0) [2020-11-10 21:51:10 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0011-1604983196-28679-0_2_r1890249474_0 (exists = 0) [2020-11-10 21:51:10 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 0) [2020-11-10 21:51:10 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-10 21:51:10 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/rand_automata_0011-train-val-dataset.hdf5 [2020-11-10 21:51:10 main:474] : INFO : Configuration: [2020-11-10 21:51:10 main:475] : INFO : Model type: LSTM [2020-11-10 21:51:10 main:476] : INFO : Validation Loss Threshold: 0.0001 [2020-11-10 21:51:10 main:477] : INFO : Max Epochs: 192 [2020-11-10 21:51:10 main:478] : INFO : Batch Size: 32 [2020-11-10 21:51:10 main:479] : INFO : Learning Rate: 0.001 [2020-11-10 21:51:10 main:480] : INFO : Patience: 10 [2020-11-10 21:51:10 main:481] : INFO : Hidden Width: 64 [2020-11-10 21:51:10 main:482] : INFO : # Recurrent Layers: 4 [2020-11-10 21:51:10 main:483] : INFO : # Backend Layers: 2 [2020-11-10 21:51:10 main:484] : INFO : # Threads: 1 [2020-11-10 21:51:10 main:486] : INFO : Preparing Dataset [2020-11-10 21:51:10 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0011-train-val-dataset.hdf5 into memory [2020-11-10 21:51:10 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0011-train-val-dataset.hdf5 into memory [2020-11-10 21:51:13 load:106] : INFO : Successfully loaded dataset of 4096 examples into memory. [2020-11-10 21:51:13 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0011-train-val-dataset.hdf5 into memory [2020-11-10 21:51:13 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0011-train-val-dataset.hdf5 into memory [2020-11-10 21:51:13 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-10 21:51:13 main:494] : INFO : Creating Model [2020-11-10 21:51:13 main:507] : INFO : Preparing config file [2020-11-10 21:51:13 main:519] : INFO : Creating new config file [2020-11-10 21:51:16 main:559] : INFO : Loading DataLoader into Memory [2020-11-10 21:51:16 main:562] : INFO : Starting Training [2020-11-10 21:51:21 main:574] : INFO : Epoch 1 | loss: 0.0661309 | val_loss: 0.0657939 | Time: 5175.54 ms [2020-11-10 21:51:25 main:574] : INFO : Epoch 2 | loss: 0.065608 | val_loss: 0.0645634 | Time: 4317.46 ms [2020-11-10 21:51:30 main:574] : INFO : Epoch 3 | loss: 0.0635924 | val_loss: 0.0621543 | Time: 4447.18 ms [2020-11-10 21:51:34 main:574] : INFO : Epoch 4 | loss: 0.0608171 | val_loss: 0.0594636 | Time: 4507.42 ms [2020-11-10 21:51:39 main:574] : INFO : Epoch 5 | loss: 0.0587025 | val_loss: 0.0579218 | Time: 4371.18 ms [2020-11-10 21:51:43 main:574] : INFO : Epoch 6 | loss: 0.0573995 | val_loss: 0.0567725 | Time: 4480.37 ms [2020-11-10 21:51:48 main:574] : INFO : Epoch 7 | loss: 0.0562874 | val_loss: 0.0558321 | Time: 4658.37 ms [2020-11-10 21:51:52 main:574] : INFO : Epoch 8 | loss: 0.0553098 | val_loss: 0.0548815 | Time: 4443.21 ms [2020-11-10 21:51:56 main:574] : INFO : Epoch 9 | loss: 0.0543456 | val_loss: 0.0539836 | Time: 4365.42 ms [2020-11-10 21:52:01 main:574] : INFO : Epoch 10 | loss: 0.0533378 | val_loss: 0.0529374 | Time: 4535.3 ms [2020-11-10 21:52:05 main:574] : INFO : Epoch 11 | loss: 0.0523122 | val_loss: 0.0518854 | Time: 4445.83 ms [2020-11-10 21:52:10 main:574] : INFO : Epoch 12 | loss: 0.0510442 | val_loss: 0.0505202 | Time: 4321.05 ms [2020-11-10 21:52:14 main:574] : INFO : Epoch 13 | loss: 0.049691 | val_loss: 0.0491259 | Time: 4302.02 ms [2020-11-10 21:52:19 main:574] : INFO : Epoch 14 | loss: 0.0479681 | val_loss: 0.0474733 | Time: 4431.4 ms [2020-11-10 21:52:23 main:574] : INFO : Epoch 15 | loss: 0.0461081 | val_loss: 0.0455897 | Time: 4429.91 ms [2020-11-10 21:52:27 main:574] : INFO : Epoch 16 | loss: 0.0438795 | val_loss: 0.0436624 | Time: 4470.99 ms [2020-11-10 21:52:32 main:574] : INFO : Epoch 17 | loss: 0.0414591 | val_loss: 0.0411438 | Time: 4307.46 ms [2020-11-10 21:52:36 main:574] : INFO : Epoch 18 | loss: 0.0400605 | val_loss: 0.039857 | Time: 4337.26 ms [2020-11-10 21:52:41 main:574] : INFO : Epoch 19 | loss: 0.0372995 | val_loss: 0.0395796 | Time: 4541.38 ms [2020-11-10 21:52:45 main:574] : INFO : Epoch 20 | loss: 0.0354268 | val_loss: 0.0349905 | Time: 4432.65 ms [2020-11-10 21:52:49 main:574] : INFO : Epoch 21 | loss: 0.0349763 | val_loss: 0.0340539 | Time: 4437.28 ms [2020-11-10 21:52:54 main:574] : INFO : Epoch 22 | loss: 0.0331824 | val_loss: 0.0314786 | Time: 4449.92 ms [2020-11-10 21:52:58 main:574] : INFO : Epoch 23 | loss: 0.0366533 | val_loss: 0.0342724 | Time: 4309.8 ms [2020-11-10 21:53:03 main:574] : INFO : Epoch 24 | loss: 0.0384156 | val_loss: 0.0353228 | Time: 4359.17 ms [2020-11-10 21:53:07 main:574] : INFO : Epoch 25 | loss: 0.0306939 | val_loss: 0.0338182 | Time: 4507.3 ms [2020-11-10 21:53:11 main:574] : INFO : Epoch 26 | loss: 0.0388628 | val_loss: 0.0617799 | Time: 4385.36 ms [2020-11-10 21:53:16 main:574] : INFO : Epoch 27 | loss: 0.0576476 | val_loss: 0.0539345 | Time: 4369.56 ms [2020-11-10 21:53:20 main:574] : INFO : Epoch 28 | loss: 0.0473152 | val_loss: 0.03807 | Time: 4249.7 ms [2020-11-10 21:53:24 main:574] : INFO : Epoch 29 | loss: 0.033028 | val_loss: 0.0368544 | Time: 4305.07 ms [2020-11-10 21:53:29 main:574] : INFO : Epoch 30 | loss: 0.0482791 | val_loss: 0.0495858 | Time: 4478.94 ms [2020-11-10 21:53:33 main:574] : INFO : Epoch 31 | loss: 0.0379956 | val_loss: 0.0309089 | Time: 4229.07 ms [2020-11-10 21:53:37 main:574] : INFO : Epoch 32 | loss: 0.0445162 | val_loss: 0.0419583 | Time: 4370.62 ms [2020-11-10 21:53:42 main:574] : INFO : Epoch 33 | loss: 0.0364948 | val_loss: 0.0481109 | Time: 4172.05 ms [2020-11-10 21:53:46 main:574] : INFO : Epoch 34 | loss: 0.0462273 | val_loss: 0.0364897 | Time: 4484.36 ms [2020-11-10 21:53:51 main:574] : INFO : Epoch 35 | loss: 0.0268019 | val_loss: 0.0240842 | Time: 4538.47 ms [2020-11-10 21:53:55 main:574] : INFO : Epoch 36 | loss: 0.0535487 | val_loss: 0.053961 | Time: 4505.77 ms [2020-11-10 21:53:59 main:574] : INFO : Epoch 37 | loss: 0.043135 | val_loss: 0.0319748 | Time: 4298.86 ms [2020-11-10 21:54:04 main:574] : INFO : Epoch 38 | loss: 0.0367281 | val_loss: 0.0635436 | Time: 4212.92 ms [2020-11-10 21:54:08 main:574] : INFO : Epoch 39 | loss: 0.0625099 | val_loss: 0.0619707 | Time: 4237.21 ms [2020-11-10 21:54:12 main:574] : INFO : Epoch 40 | loss: 0.0618111 | val_loss: 0.0615597 | Time: 4232.33 ms [2020-11-10 21:54:17 main:574] : INFO : Epoch 41 | loss: 0.0614568 | val_loss: 0.0612289 | Time: 4463.58 ms [2020-11-10 21:54:21 main:574] : INFO : Epoch 42 | loss: 0.0611299 | val_loss: 0.0609035 | Time: 4301.68 ms [2020-11-10 21:54:25 main:574] : INFO : Epoch 43 | loss: 0.0607799 | val_loss: 0.0605197 | Time: 4372.28 ms [2020-11-10 21:54:30 main:574] : INFO : Epoch 44 | loss: 0.0603795 | val_loss: 0.0600906 | Time: 4502.92 ms [2020-11-10 21:54:34 main:574] : INFO : Epoch 45 | loss: 0.0599341 | val_loss: 0.0596063 | Time: 4352.57 ms [2020-11-10 21:54:38 main:574] : INFO : Epoch 46 | loss: 0.0594291 | val_loss: 0.0590529 | Time: 4190.25 ms [2020-11-10 21:54:43 main:574] : INFO : Epoch 47 | loss: 0.058831 | val_loss: 0.0584007 | Time: 4331.71 ms [2020-11-10 21:54:47 main:574] : INFO : Epoch 48 | loss: 0.0581217 | val_loss: 0.0576444 | Time: 4397.95 ms [2020-11-10 21:54:51 main:574] : INFO : Epoch 49 | loss: 0.0572756 | val_loss: 0.0567449 | Time: 4299.17 ms [2020-11-10 21:54:56 main:574] : INFO : Epoch 50 | loss: 0.0562168 | val_loss: 0.055565 | Time: 4289.42 ms [2020-11-10 21:55:00 main:574] : INFO : Epoch 51 | loss: 0.0548657 | val_loss: 0.0540433 | Time: 4352.32 ms [2020-11-10 21:55:05 main:574] : INFO : Epoch 52 | loss: 0.0531325 | val_loss: 0.0520135 | Time: 4490.48 ms [2020-11-10 21:55:09 main:574] : INFO : Epoch 53 | loss: 0.0506764 | val_loss: 0.0490288 | Time: 4412.57 ms [2020-11-10 21:55:13 main:574] : INFO : Epoch 54 | loss: 0.0467437 | val_loss: 0.044325 | Time: 4402.6 ms [2020-11-10 21:55:18 main:574] : INFO : Epoch 55 | loss: 0.0403021 | val_loss: 0.0368504 | Time: 4329.5 ms [2020-11-10 21:55:22 main:574] : INFO : Epoch 56 | loss: 0.0334986 | val_loss: 0.0310727 | Time: 4510.08 ms [2020-11-10 21:55:26 main:574] : INFO : Epoch 57 | loss: 0.0314172 | val_loss: 0.0567891 | Time: 4156.67 ms [2020-11-10 21:55:31 main:574] : INFO : Epoch 58 | loss: 0.0470086 | val_loss: 0.0336601 | Time: 4250.44 ms [2020-11-10 21:55:35 main:574] : INFO : Epoch 59 | loss: 0.0347074 | val_loss: 0.0494094 | Time: 4383.65 ms [2020-11-10 21:55:39 main:574] : INFO : Epoch 60 | loss: 0.0502535 | val_loss: 0.0478643 | Time: 4363.84 ms [2020-11-10 21:55:44 main:574] : INFO : Epoch 61 | loss: 0.0372985 | val_loss: 0.0303823 | Time: 4389.49 ms [2020-11-10 21:55:48 main:574] : INFO : Epoch 62 | loss: 0.0271648 | val_loss: 0.0245301 | Time: 4573.17 ms [2020-11-10 21:55:53 main:574] : INFO : Epoch 63 | loss: 0.0226034 | val_loss: 0.0217052 | Time: 4522.51 ms [2020-11-10 21:55:57 main:574] : INFO : Epoch 64 | loss: 0.0425319 | val_loss: 0.0603705 | Time: 4466.73 ms [2020-11-10 21:56:02 main:574] : INFO : Epoch 65 | loss: 0.0593166 | val_loss: 0.0585281 | Time: 4396.71 ms [2020-11-10 21:56:06 main:574] : INFO : Epoch 66 | loss: 0.0574521 | val_loss: 0.056533 | Time: 4351.03 ms [2020-11-10 21:56:10 main:574] : INFO : Epoch 67 | loss: 0.055011 | val_loss: 0.0535719 | Time: 4294.37 ms [2020-11-10 21:56:15 main:574] : INFO : Epoch 68 | loss: 0.0511058 | val_loss: 0.0481355 | Time: 4331.46 ms [2020-11-10 21:56:19 main:574] : INFO : Epoch 69 | loss: 0.042899 | val_loss: 0.0369596 | Time: 4610.76 ms [2020-11-10 21:56:24 main:574] : INFO : Epoch 70 | loss: 0.0342661 | val_loss: 0.0322389 | Time: 4353.26 ms [2020-11-10 21:56:28 main:574] : INFO : Epoch 71 | loss: 0.0573736 | val_loss: 0.0560145 | Time: 4352.82 ms [2020-11-10 21:56:32 main:574] : INFO : Epoch 72 | loss: 0.0528338 | val_loss: 0.0486778 | Time: 4399.31 ms [2020-11-10 21:56:37 main:574] : INFO : Epoch 73 | loss: 0.0426541 | val_loss: 0.0363374 | Time: 4376.32 ms [2020-11-10 21:56:41 main:574] : INFO : Epoch 74 | loss: 0.0434291 | val_loss: 0.0628585 | Time: 4390.63 ms [2020-11-10 21:56:46 main:574] : INFO : Epoch 75 | loss: 0.0623647 | val_loss: 0.0621119 | Time: 4363.52 ms [2020-11-10 21:56:50 main:574] : INFO : Epoch 76 | loss: 0.061989 | val_loss: 0.0618701 | Time: 4260.51 ms [2020-11-10 21:56:54 main:574] : INFO : Epoch 77 | loss: 0.0617799 | val_loss: 0.0616751 | Time: 4342.6 ms [2020-11-10 21:56:59 main:574] : INFO : Epoch 78 | loss: 0.0615795 | val_loss: 0.0614822 | Time: 4401.37 ms [2020-11-10 21:57:03 main:574] : INFO : Epoch 79 | loss: 0.0613699 | val_loss: 0.0612672 | Time: 4378.96 ms [2020-11-10 21:57:07 main:574] : INFO : Epoch 80 | loss: 0.0611624 | val_loss: 0.061063 | Time: 4411.39 ms [2020-11-10 21:57:12 main:574] : INFO : Epoch 81 | loss: 0.0609533 | val_loss: 0.060845 | Time: 4331.06 ms [2020-11-10 21:57:16 main:574] : INFO : Epoch 82 | loss: 0.0607279 | val_loss: 0.0606171 | Time: 4259.12 ms [2020-11-10 21:57:20 main:574] : INFO : Epoch 83 | loss: 0.060471 | val_loss: 0.0603455 | Time: 4453.25 ms [2020-11-10 21:57:25 main:574] : INFO : Epoch 84 | loss: 0.0601588 | val_loss: 0.0599911 | Time: 4401.33 ms [2020-11-10 21:57:29 main:574] : INFO : Epoch 85 | loss: 0.0597594 | val_loss: 0.0595362 | Time: 4312.44 ms [2020-11-10 21:57:33 main:574] : INFO : Epoch 86 | loss: 0.0592059 | val_loss: 0.0589154 | Time: 4196.1 ms [2020-11-10 21:57:37 main:574] : INFO : Epoch 87 | loss: 0.0585201 | val_loss: 0.0581644 | Time: 4191.75 ms [2020-11-10 21:57:42 main:574] : INFO : Epoch 88 | loss: 0.0576874 | val_loss: 0.0572346 | Time: 4185.45 ms [2020-11-10 21:57:46 main:574] : INFO : Epoch 89 | loss: 0.0566667 | val_loss: 0.0560587 | Time: 4372.59 ms [2020-11-10 21:57:50 main:574] : INFO : Epoch 90 | loss: 0.0553275 | val_loss: 0.054485 | Time: 4385.86 ms [2020-11-10 21:57:55 main:574] : INFO : Epoch 91 | loss: 0.0534275 | val_loss: 0.0522522 | Time: 4274.9 ms [2020-11-10 21:57:59 main:574] : INFO : Epoch 92 | loss: 0.0504852 | val_loss: 0.0486647 | Time: 4422.45 ms [2020-11-10 21:58:04 main:574] : INFO : Epoch 93 | loss: 0.0457038 | val_loss: 0.043003 | Time: 4512.1 ms [2020-11-10 21:58:08 main:574] : INFO : Epoch 94 | loss: 0.0391852 | val_loss: 0.0359242 | Time: 4440.02 ms [2020-11-10 21:58:12 main:574] : INFO : Epoch 95 | loss: 0.0318139 | val_loss: 0.0352937 | Time: 4343.2 ms [2020-11-10 21:58:17 main:574] : INFO : Epoch 96 | loss: 0.0348904 | val_loss: 0.0273851 | Time: 4278.82 ms [2020-11-10 21:58:21 main:574] : INFO : Epoch 97 | loss: 0.043334 | val_loss: 0.0594929 | Time: 4305.71 ms [2020-11-10 21:58:25 main:574] : INFO : Epoch 98 | loss: 0.0583809 | val_loss: 0.0571614 | Time: 4505.86 ms [2020-11-10 21:58:30 main:574] : INFO : Epoch 99 | loss: 0.0559681 | val_loss: 0.0543868 | Time: 4480.38 ms [2020-11-10 21:58:34 main:574] : INFO : Epoch 100 | loss: 0.0529061 | val_loss: 0.0509893 | Time: 4349.22 ms [2020-11-10 21:58:39 main:574] : INFO : Epoch 101 | loss: 0.0489251 | val_loss: 0.0463495 | Time: 4351.01 ms [2020-11-10 21:58:43 main:574] : INFO : Epoch 102 | loss: 0.0430275 | val_loss: 0.0394295 | Time: 4620.19 ms [2020-11-10 21:58:48 main:574] : INFO : Epoch 103 | loss: 0.0382489 | val_loss: 0.045344 | Time: 4312.76 ms [2020-11-10 21:58:52 main:574] : INFO : Epoch 104 | loss: 0.053233 | val_loss: 0.0572856 | Time: 4376.86 ms [2020-11-10 21:58:56 main:574] : INFO : Epoch 105 | loss: 0.0552439 | val_loss: 0.0529961 | Time: 4352.66 ms [2020-11-10 21:59:01 main:574] : INFO : Epoch 106 | loss: 0.0501231 | val_loss: 0.0472538 | Time: 4426 ms [2020-11-10 21:59:05 main:574] : INFO : Epoch 107 | loss: 0.0438255 | val_loss: 0.041499 | Time: 4505.25 ms [2020-11-10 21:59:10 main:574] : INFO : Epoch 108 | loss: 0.0406131 | val_loss: 0.0398499 | Time: 4472.21 ms [2020-11-10 21:59:14 main:574] : INFO : Epoch 109 | loss: 0.0324927 | val_loss: 0.0294236 | Time: 4612.15 ms [2020-11-10 21:59:19 main:574] : INFO : Epoch 110 | loss: 0.0295927 | val_loss: 0.028211 | Time: 4460.75 ms [2020-11-10 21:59:23 main:574] : INFO : Epoch 111 | loss: 0.035901 | val_loss: 0.0617039 | Time: 4231.04 ms [2020-11-10 21:59:27 main:574] : INFO : Epoch 112 | loss: 0.061023 | val_loss: 0.0605124 | Time: 4211.78 ms [2020-11-10 21:59:32 main:574] : INFO : Epoch 113 | loss: 0.0601855 | val_loss: 0.0597055 | Time: 4329.63 ms [2020-11-10 21:59:36 main:574] : INFO : Epoch 114 | loss: 0.0592129 | val_loss: 0.0584954 | Time: 4203.96 ms [2020-11-10 21:59:40 main:574] : INFO : Epoch 115 | loss: 0.0577273 | val_loss: 0.0566707 | Time: 4364.28 ms [2020-11-10 21:59:44 main:574] : INFO : Epoch 116 | loss: 0.0554347 | val_loss: 0.0538062 | Time: 4341.89 ms [2020-11-10 21:59:49 main:574] : INFO : Epoch 117 | loss: 0.0516177 | val_loss: 0.0488231 | Time: 4402.54 ms [2020-11-10 21:59:53 main:574] : INFO : Epoch 118 | loss: 0.0439922 | val_loss: 0.0385938 | Time: 4487.85 ms [2020-11-10 21:59:58 main:574] : INFO : Epoch 119 | loss: 0.034452 | val_loss: 0.03199 | Time: 4323.53 ms [2020-11-10 22:00:02 main:574] : INFO : Epoch 120 | loss: 0.0367349 | val_loss: 0.0624663 | Time: 4538.85 ms [2020-11-10 22:00:07 main:574] : INFO : Epoch 121 | loss: 0.0618425 | val_loss: 0.0613723 | Time: 4439.2 ms [2020-11-10 22:00:11 main:574] : INFO : Epoch 122 | loss: 0.0611683 | val_loss: 0.0608045 | Time: 4267.93 ms [2020-11-10 22:00:15 main:574] : INFO : Epoch 123 | loss: 0.0606347 | val_loss: 0.0602294 | Time: 4260.61 ms [2020-11-10 22:00:20 main:574] : INFO : Epoch 124 | loss: 0.0600005 | val_loss: 0.0594829 | Time: 4475.93 ms [2020-11-10 22:00:24 main:574] : INFO : Epoch 125 | loss: 0.0591146 | val_loss: 0.0584215 | Time: 4342.92 ms [2020-11-10 22:00:28 main:574] : INFO : Epoch 126 | loss: 0.0578892 | val_loss: 0.0570201 | Time: 4340.57 ms [2020-11-10 22:00:33 main:574] : INFO : Epoch 127 | loss: 0.0563502 | val_loss: 0.0552831 | Time: 4285.29 ms [2020-11-10 22:00:37 main:574] : INFO : Epoch 128 | loss: 0.0544408 | val_loss: 0.0531116 | Time: 4292.34 ms [2020-11-10 22:00:41 main:574] : INFO : Epoch 129 | loss: 0.0520495 | val_loss: 0.0504556 | Time: 4293.44 ms [2020-11-10 22:00:45 main:574] : INFO : Epoch 130 | loss: 0.0487298 | val_loss: 0.0469261 | Time: 4225.97 ms [2020-11-10 22:00:50 main:574] : INFO : Epoch 131 | loss: 0.044523 | val_loss: 0.0423336 | Time: 4372.71 ms [2020-11-10 22:00:54 main:574] : INFO : Epoch 132 | loss: 0.0465245 | val_loss: 0.0548601 | Time: 4284.04 ms [2020-11-10 22:00:58 main:574] : INFO : Epoch 133 | loss: 0.0512167 | val_loss: 0.0471387 | Time: 4341.78 ms [2020-11-10 22:01:03 main:574] : INFO : Epoch 134 | loss: 0.0430469 | val_loss: 0.039242 | Time: 4362.64 ms [2020-11-10 22:01:07 main:574] : INFO : Epoch 135 | loss: 0.0399146 | val_loss: 0.0364605 | Time: 4286.55 ms [2020-11-10 22:01:11 main:574] : INFO : Epoch 136 | loss: 0.0322328 | val_loss: 0.0294254 | Time: 4349 ms [2020-11-10 22:01:16 main:574] : INFO : Epoch 137 | loss: 0.0374202 | val_loss: 0.0327793 | Time: 4555.97 ms [2020-11-10 22:01:20 main:574] : INFO : Epoch 138 | loss: 0.030764 | val_loss: 0.0292123 | Time: 4408.57 ms [2020-11-10 22:01:25 main:574] : INFO : Epoch 139 | loss: 0.0253974 | val_loss: 0.023917 | Time: 4639.39 ms [2020-11-10 22:01:29 main:574] : INFO : Epoch 140 | loss: 0.0241524 | val_loss: 0.0306942 | Time: 4253.04 ms [2020-11-10 22:01:34 main:574] : INFO : Epoch 141 | loss: 0.0473849 | val_loss: 0.0540763 | Time: 4359.26 ms [2020-11-10 22:01:38 main:574] : INFO : Epoch 142 | loss: 0.0472799 | val_loss: 0.042568 | Time: 4363.94 ms [2020-11-10 22:01:43 main:574] : INFO : Epoch 143 | loss: 0.0340748 | val_loss: 0.0325006 | Time: 4487.33 ms [2020-11-10 22:01:47 main:574] : INFO : Epoch 144 | loss: 0.0242487 | val_loss: 0.0213583 | Time: 4312.5 ms [2020-11-10 22:01:51 main:574] : INFO : Epoch 145 | loss: 0.0188104 | val_loss: 0.0189584 | Time: 4250.6 ms [2020-11-10 22:01:55 main:574] : INFO : Epoch 146 | loss: 0.0163879 | val_loss: 0.0162212 | Time: 4194.17 ms [2020-11-10 22:02:00 main:574] : INFO : Epoch 147 | loss: 0.0406501 | val_loss: 0.0374478 | Time: 4504.64 ms [2020-11-10 22:02:04 main:574] : INFO : Epoch 148 | loss: 0.032588 | val_loss: 0.0335155 | Time: 4356.76 ms [2020-11-10 22:02:09 main:574] : INFO : Epoch 149 | loss: 0.0235855 | val_loss: 0.0204395 | Time: 4490.54 ms [2020-11-10 22:02:13 main:574] : INFO : Epoch 150 | loss: 0.0204194 | val_loss: 0.0261603 | Time: 4578.14 ms [2020-11-10 22:02:18 main:574] : INFO : Epoch 151 | loss: 0.0216427 | val_loss: 0.0198938 | Time: 4273.34 ms [2020-11-10 22:02:22 main:574] : INFO : Epoch 152 | loss: 0.0154307 | val_loss: 0.0148126 | Time: 4419.53 ms [2020-11-10 22:02:26 main:574] : INFO : Epoch 153 | loss: 0.0138314 | val_loss: 0.0139815 | Time: 4418.52 ms [2020-11-10 22:02:31 main:574] : INFO : Epoch 154 | loss: 0.0147936 | val_loss: 0.014767 | Time: 4544.22 ms [2020-11-10 22:02:35 main:574] : INFO : Epoch 155 | loss: 0.015589 | val_loss: 0.0154433 | Time: 4256.23 ms [2020-11-10 22:02:40 main:574] : INFO : Epoch 156 | loss: 0.0141953 | val_loss: 0.0126657 | Time: 4370.53 ms [2020-11-10 22:02:44 main:574] : INFO : Epoch 157 | loss: 0.0116187 | val_loss: 0.0115664 | Time: 4591.7 ms [2020-11-10 22:02:49 main:574] : INFO : Epoch 158 | loss: 0.0111795 | val_loss: 0.0113367 | Time: 4419.15 ms [2020-11-10 22:02:53 main:574] : INFO : Epoch 159 | loss: 0.0110719 | val_loss: 0.0118129 | Time: 4442.28 ms [2020-11-10 22:02:57 main:574] : INFO : Epoch 160 | loss: 0.0108802 | val_loss: 0.0106257 | Time: 4281.35 ms [2020-11-10 22:03:02 main:574] : INFO : Epoch 161 | loss: 0.00989982 | val_loss: 0.0100041 | Time: 4451.08 ms [2020-11-10 22:03:06 main:574] : INFO : Epoch 162 | loss: 0.00975678 | val_loss: 0.0100847 | Time: 4458.5 ms [2020-11-10 22:03:10 main:574] : INFO : Epoch 163 | loss: 0.00938507 | val_loss: 0.0104452 | Time: 4206.11 ms [2020-11-10 22:03:15 main:574] : INFO : Epoch 164 | loss: 0.00929285 | val_loss: 0.00947502 | Time: 4315.73 ms [2020-11-10 22:03:19 main:574] : INFO : Epoch 165 | loss: 0.00887751 | val_loss: 0.00904666 | Time: 4226.71 ms [2020-11-10 22:03:23 main:574] : INFO : Epoch 166 | loss: 0.00858571 | val_loss: 0.00878648 | Time: 4354.31 ms [2020-11-10 22:03:27 main:574] : INFO : Epoch 167 | loss: 0.00835314 | val_loss: 0.00858698 | Time: 4211.02 ms [2020-11-10 22:03:32 main:574] : INFO : Epoch 168 | loss: 0.00821962 | val_loss: 0.00832099 | Time: 4280.77 ms [2020-11-10 22:03:36 main:574] : INFO : Epoch 169 | loss: 0.00798391 | val_loss: 0.00807541 | Time: 4214.68 ms [2020-11-10 22:03:40 main:574] : INFO : Epoch 170 | loss: 0.00778201 | val_loss: 0.00789398 | Time: 4219.51 ms [2020-11-10 22:03:45 main:574] : INFO : Epoch 171 | loss: 0.0213265 | val_loss: 0.0125537 | Time: 4302.13 ms [2020-11-10 22:03:49 main:574] : INFO : Epoch 172 | loss: 0.00957891 | val_loss: 0.00889756 | Time: 4228.5 ms [2020-11-10 22:03:53 main:574] : INFO : Epoch 173 | loss: 0.00841141 | val_loss: 0.00831017 | Time: 4325.28 ms [2020-11-10 22:03:57 main:574] : INFO : Epoch 174 | loss: 0.00789528 | val_loss: 0.00792209 | Time: 4256.1 ms [2020-11-10 22:04:02 main:574] : INFO : Epoch 175 | loss: 0.00752625 | val_loss: 0.00758097 | Time: 4265.26 ms [2020-11-10 22:04:06 main:574] : INFO : Epoch 176 | loss: 0.0072437 | val_loss: 0.00733512 | Time: 4081.7 ms [2020-11-10 22:04:10 main:574] : INFO : Epoch 177 | loss: 0.0070164 | val_loss: 0.00711049 | Time: 4230.88 ms [2020-11-10 22:04:14 main:574] : INFO : Epoch 178 | loss: 0.00681032 | val_loss: 0.00691204 | Time: 4534.06 ms [2020-11-10 22:04:19 main:574] : INFO : Epoch 179 | loss: 0.00661886 | val_loss: 0.00672518 | Time: 4402.13 ms [2020-11-10 22:04:23 main:574] : INFO : Epoch 180 | loss: 0.00644646 | val_loss: 0.00653262 | Time: 4581.85 ms [2020-11-10 22:04:28 main:574] : INFO : Epoch 181 | loss: 0.00627398 | val_loss: 0.00628777 | Time: 4356.06 ms [2020-11-10 22:04:32 main:574] : INFO : Epoch 182 | loss: 0.00610716 | val_loss: 0.00611632 | Time: 4473.75 ms [2020-11-10 22:04:37 main:574] : INFO : Epoch 183 | loss: 0.00595066 | val_loss: 0.00595169 | Time: 4323.59 ms [2020-11-10 22:04:41 main:574] : INFO : Epoch 184 | loss: 0.00579385 | val_loss: 0.00580552 | Time: 4441.03 ms [2020-11-10 22:04:46 main:574] : INFO : Epoch 185 | loss: 0.00563861 | val_loss: 0.00565037 | Time: 4580.1 ms [2020-11-10 22:04:50 main:574] : INFO : Epoch 186 | loss: 0.00548353 | val_loss: 0.00548987 | Time: 4386.63 ms [2020-11-10 22:04:54 main:574] : INFO : Epoch 187 | loss: 0.00532896 | val_loss: 0.00533748 | Time: 4216.29 ms [2020-11-10 22:04:59 main:574] : INFO : Epoch 188 | loss: 0.00518472 | val_loss: 0.00518445 | Time: 4346.04 ms [2020-11-10 22:05:03 main:574] : INFO : Epoch 189 | loss: 0.00503354 | val_loss: 0.00503357 | Time: 4388.66 ms [2020-11-10 22:05:07 main:574] : INFO : Epoch 190 | loss: 0.00488851 | val_loss: 0.00486552 | Time: 4290.84 ms [2020-11-10 22:05:12 main:574] : INFO : Epoch 191 | loss: 0.00475059 | val_loss: 0.00533514 | Time: 4428.35 ms [2020-11-10 22:05:16 main:574] : INFO : Epoch 192 | loss: 0.00481492 | val_loss: 0.00458839 | Time: 4571.03 ms [2020-11-10 22:05:16 main:597] : INFO : Saving trained model to model-final.pt, val_loss 0.00458839 [2020-11-10 22:05:16 main:603] : INFO : Saving end state to config to file [2020-11-10 22:05:16 main:608] : INFO : Success, exiting.. 22:05:16 (13984): 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)