Task 2942934
| Name | rand_automata_0089-1605425447-23330-0_1 |
| Workunit | 1327249 |
| Created | 15 Nov 2020, 7:30:48 UTC |
| Sent | 17 Nov 2020, 10:50:38 UTC |
| Report deadline | 25 Nov 2020, 10:50:38 UTC |
| Received | 19 Nov 2020, 11:09:16 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 3097 |
| Run time | 16 min 59 sec |
| CPU time | 16 min 13 sec |
| Validate state | Valid |
| Credit | 959.40 |
| Device peak FLOPS | 1,641.98 GFLOPS |
| Application version | Machine Learning Dataset Generator (GPU) v9.75 (cuda10200) windows_x86_64 |
| Peak working set size | 1.41 GB |
| Peak swap size | 3.00 GB |
| Peak disk usage | 1.54 GB |
Stderr output
<core_client_version>7.14.2</core_client_version> <![CDATA[ <stderr_txt> Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: GeForce GTX 750 Ti) [2020-11-19 05:52:20 main:435] : INFO : Set logging level to 1 [2020-11-19 05:52:20 main:441] : INFO : Running in BOINC Client mode [2020-11-19 05:52:20 main:444] : INFO : Resolving all filenames [2020-11-19 05:52:20 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0089-train-val-dataset.hdf5 (exists = 1) [2020-11-19 05:52:20 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0089-1605425447-23330-0_1_r734887980_1 (exists = 0) [2020-11-19 05:52:20 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0089-1605425447-23330-0_1_r734887980_0 (exists = 0) [2020-11-19 05:52:20 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 0) [2020-11-19 05:52:20 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-19 05:52:20 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/rand_automata_0089-train-val-dataset.hdf5 [2020-11-19 05:52:20 main:474] : INFO : Configuration: [2020-11-19 05:52:20 main:475] : INFO : Model type: LSTM [2020-11-19 05:52:20 main:476] : INFO : Validation Loss Threshold: 0.0001 [2020-11-19 05:52:20 main:477] : INFO : Max Epochs: 192 [2020-11-19 05:52:20 main:478] : INFO : Batch Size: 32 [2020-11-19 05:52:20 main:479] : INFO : Learning Rate: 0.001 [2020-11-19 05:52:20 main:480] : INFO : Patience: 10 [2020-11-19 05:52:20 main:481] : INFO : Hidden Width: 64 [2020-11-19 05:52:21 main:482] : INFO : # Recurrent Layers: 4 [2020-11-19 05:52:21 main:483] : INFO : # Backend Layers: 2 [2020-11-19 05:52:21 main:484] : INFO : # Threads: 1 [2020-11-19 05:52:21 main:486] : INFO : Preparing Dataset [2020-11-19 05:52:21 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0089-train-val-dataset.hdf5 into memory [2020-11-19 05:52:21 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0089-train-val-dataset.hdf5 into memory [2020-11-19 05:52:23 load:106] : INFO : Successfully loaded dataset of 4096 examples into memory. [2020-11-19 05:52:23 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0089-train-val-dataset.hdf5 into memory [2020-11-19 05:52:23 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0089-train-val-dataset.hdf5 into memory [2020-11-19 05:52:23 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-19 05:52:23 main:494] : INFO : Creating Model [2020-11-19 05:52:23 main:507] : INFO : Preparing config file [2020-11-19 05:52:23 main:519] : INFO : Creating new config file [2020-11-19 05:52:24 main:559] : INFO : Loading DataLoader into Memory [2020-11-19 05:52:30 main:562] : INFO : Starting Training [2020-11-19 05:52:35 main:574] : INFO : Epoch 1 | loss: 0.066819 | val_loss: 0.0660783 | Time: 5652.04 ms [2020-11-19 05:52:41 main:574] : INFO : Epoch 2 | loss: 0.066067 | val_loss: 0.0659865 | Time: 5058.7 ms [2020-11-19 05:52:46 main:574] : INFO : Epoch 3 | loss: 0.0647597 | val_loss: 0.0631554 | Time: 4988.09 ms [2020-11-19 05:52:51 main:574] : INFO : Epoch 4 | loss: 0.0614904 | val_loss: 0.0600558 | Time: 5073.55 ms [2020-11-19 05:52:56 main:574] : INFO : Epoch 5 | loss: 0.0589876 | val_loss: 0.0580841 | Time: 5239.64 ms [2020-11-19 05:53:01 main:574] : INFO : Epoch 6 | loss: 0.0573621 | val_loss: 0.0567322 | Time: 5251.7 ms [2020-11-19 05:53:07 main:574] : INFO : Epoch 7 | loss: 0.0561378 | val_loss: 0.0557342 | Time: 5240.13 ms [2020-11-19 05:53:12 main:574] : INFO : Epoch 8 | loss: 0.0550808 | val_loss: 0.0547117 | Time: 5218.15 ms [2020-11-19 05:53:17 main:574] : INFO : Epoch 9 | loss: 0.0540718 | val_loss: 0.0537224 | Time: 5222.81 ms [2020-11-19 05:53:22 main:574] : INFO : Epoch 10 | loss: 0.0530422 | val_loss: 0.0526688 | Time: 5248.47 ms [2020-11-19 05:53:27 main:574] : INFO : Epoch 11 | loss: 0.0519632 | val_loss: 0.0517031 | Time: 5022.07 ms [2020-11-19 05:53:32 main:574] : INFO : Epoch 12 | loss: 0.0507781 | val_loss: 0.0505915 | Time: 4993.37 ms [2020-11-19 05:53:38 main:574] : INFO : Epoch 13 | loss: 0.0493732 | val_loss: 0.0493276 | Time: 4994.74 ms [2020-11-19 05:53:43 main:574] : INFO : Epoch 14 | loss: 0.0477306 | val_loss: 0.0473794 | Time: 5072.19 ms [2020-11-19 05:53:48 main:574] : INFO : Epoch 15 | loss: 0.0457434 | val_loss: 0.0459086 | Time: 5020.65 ms [2020-11-19 05:53:53 main:574] : INFO : Epoch 16 | loss: 0.0432463 | val_loss: 0.0431543 | Time: 5013.99 ms [2020-11-19 05:53:58 main:574] : INFO : Epoch 17 | loss: 0.0403834 | val_loss: 0.0413571 | Time: 5020.05 ms [2020-11-19 05:54:03 main:574] : INFO : Epoch 18 | loss: 0.0370211 | val_loss: 0.0371726 | Time: 5008.01 ms [2020-11-19 05:54:08 main:574] : INFO : Epoch 19 | loss: 0.0334348 | val_loss: 0.0372098 | Time: 4973.16 ms [2020-11-19 05:54:13 main:574] : INFO : Epoch 20 | loss: 0.0341074 | val_loss: 0.0311406 | Time: 5031.79 ms [2020-11-19 05:54:18 main:574] : INFO : Epoch 21 | loss: 0.0279072 | val_loss: 0.0286736 | Time: 5033.48 ms [2020-11-19 05:54:23 main:574] : INFO : Epoch 22 | loss: 0.0319175 | val_loss: 0.0296465 | Time: 5151.5 ms [2020-11-19 05:54:29 main:574] : INFO : Epoch 23 | loss: 0.0312604 | val_loss: 0.027716 | Time: 5228.19 ms [2020-11-19 05:54:34 main:574] : INFO : Epoch 24 | loss: 0.0233639 | val_loss: 0.0197231 | Time: 5300.51 ms [2020-11-19 05:54:39 main:574] : INFO : Epoch 25 | loss: 0.0264409 | val_loss: 0.0189742 | Time: 5223.38 ms [2020-11-19 05:54:45 main:574] : INFO : Epoch 26 | loss: 0.0179262 | val_loss: 0.0149991 | Time: 5237.22 ms [2020-11-19 05:54:50 main:574] : INFO : Epoch 27 | loss: 0.0139985 | val_loss: 0.0147732 | Time: 5223.63 ms [2020-11-19 05:54:55 main:574] : INFO : Epoch 28 | loss: 0.012824 | val_loss: 0.0231453 | Time: 5244.56 ms [2020-11-19 05:55:00 main:574] : INFO : Epoch 29 | loss: 0.0139719 | val_loss: 0.0137628 | Time: 5236.64 ms [2020-11-19 05:55:05 main:574] : INFO : Epoch 30 | loss: 0.010694 | val_loss: 0.0105365 | Time: 5043.1 ms [2020-11-19 05:55:10 main:574] : INFO : Epoch 31 | loss: 0.00971857 | val_loss: 0.00994153 | Time: 5019.63 ms [2020-11-19 05:55:16 main:574] : INFO : Epoch 32 | loss: 0.00909703 | val_loss: 0.00928918 | Time: 5019.95 ms [2020-11-19 05:55:21 main:574] : INFO : Epoch 33 | loss: 0.00872998 | val_loss: 0.0090032 | Time: 4998.8 ms [2020-11-19 05:55:26 main:574] : INFO : Epoch 34 | loss: 0.00836791 | val_loss: 0.00856557 | Time: 4969.98 ms [2020-11-19 05:55:31 main:574] : INFO : Epoch 35 | loss: 0.00840648 | val_loss: 0.00846945 | Time: 4972.87 ms [2020-11-19 05:55:36 main:574] : INFO : Epoch 36 | loss: 0.00783958 | val_loss: 0.00800451 | Time: 4973.13 ms [2020-11-19 05:55:41 main:574] : INFO : Epoch 37 | loss: 0.00753457 | val_loss: 0.0077414 | Time: 4980.52 ms [2020-11-19 05:55:46 main:574] : INFO : Epoch 38 | loss: 0.00727962 | val_loss: 0.00754601 | Time: 4966.84 ms [2020-11-19 05:55:51 main:574] : INFO : Epoch 39 | loss: 0.00703378 | val_loss: 0.00720224 | Time: 4959.32 ms [2020-11-19 05:55:56 main:574] : INFO : Epoch 40 | loss: 0.00679077 | val_loss: 0.00696519 | Time: 4956.95 ms [2020-11-19 05:56:01 main:574] : INFO : Epoch 41 | loss: 0.00655464 | val_loss: 0.0066658 | Time: 4986.77 ms [2020-11-19 05:56:06 main:574] : INFO : Epoch 42 | loss: 0.00657799 | val_loss: 0.00640784 | Time: 4974.69 ms [2020-11-19 05:56:11 main:574] : INFO : Epoch 43 | loss: 0.00613302 | val_loss: 0.00616346 | Time: 4971.74 ms [2020-11-19 05:56:16 main:574] : INFO : Epoch 44 | loss: 0.00591055 | val_loss: 0.00596237 | Time: 4983.23 ms [2020-11-19 05:56:21 main:574] : INFO : Epoch 45 | loss: 0.00570329 | val_loss: 0.00575726 | Time: 4976.12 ms [2020-11-19 05:56:26 main:574] : INFO : Epoch 46 | loss: 0.00550599 | val_loss: 0.00551816 | Time: 5018.6 ms [2020-11-19 05:56:31 main:574] : INFO : Epoch 47 | loss: 0.00531624 | val_loss: 0.00532193 | Time: 5043.67 ms [2020-11-19 05:56:36 main:574] : INFO : Epoch 48 | loss: 0.00513055 | val_loss: 0.00512736 | Time: 5002.69 ms [2020-11-19 05:56:41 main:574] : INFO : Epoch 49 | loss: 0.00495027 | val_loss: 0.00494492 | Time: 4997.61 ms [2020-11-19 05:56:46 main:574] : INFO : Epoch 50 | loss: 0.00477524 | val_loss: 0.0047691 | Time: 5005.87 ms [2020-11-19 05:56:51 main:574] : INFO : Epoch 51 | loss: 0.00460456 | val_loss: 0.00459862 | Time: 5011.86 ms [2020-11-19 05:56:56 main:574] : INFO : Epoch 52 | loss: 0.00517226 | val_loss: 0.00498894 | Time: 5015.85 ms [2020-11-19 05:57:01 main:574] : INFO : Epoch 53 | loss: 0.00442904 | val_loss: 0.00431757 | Time: 5043.22 ms [2020-11-19 05:57:06 main:574] : INFO : Epoch 54 | loss: 0.00416664 | val_loss: 0.00415126 | Time: 5024.33 ms [2020-11-19 05:57:11 main:574] : INFO : Epoch 55 | loss: 0.0040091 | val_loss: 0.00399125 | Time: 5005.24 ms [2020-11-19 05:57:17 main:574] : INFO : Epoch 56 | loss: 0.00386404 | val_loss: 0.00385218 | Time: 5046.28 ms [2020-11-19 05:57:22 main:574] : INFO : Epoch 57 | loss: 0.00372765 | val_loss: 0.00371206 | Time: 4996.88 ms [2020-11-19 05:57:27 main:574] : INFO : Epoch 58 | loss: 0.003595 | val_loss: 0.00357711 | Time: 4985.33 ms [2020-11-19 05:57:32 main:574] : INFO : Epoch 59 | loss: 0.00346806 | val_loss: 0.00345357 | Time: 4980.15 ms [2020-11-19 05:57:37 main:574] : INFO : Epoch 60 | loss: 0.00334423 | val_loss: 0.00333148 | Time: 4980.61 ms [2020-11-19 05:57:42 main:574] : INFO : Epoch 61 | loss: 0.0032249 | val_loss: 0.00320981 | Time: 4965.75 ms [2020-11-19 05:57:47 main:574] : INFO : Epoch 62 | loss: 0.00310843 | val_loss: 0.00309095 | Time: 5021.73 ms [2020-11-19 05:57:52 main:574] : INFO : Epoch 63 | loss: 0.00299688 | val_loss: 0.00297771 | Time: 5115.49 ms [2020-11-19 05:57:57 main:574] : INFO : Epoch 64 | loss: 0.00288825 | val_loss: 0.00287174 | Time: 5117.44 ms [2020-11-19 05:58:02 main:574] : INFO : Epoch 65 | loss: 0.00278251 | val_loss: 0.00276512 | Time: 5110.5 ms [2020-11-19 05:58:07 main:574] : INFO : Epoch 66 | loss: 0.00268101 | val_loss: 0.00266438 | Time: 5081.74 ms [2020-11-19 05:58:12 main:574] : INFO : Epoch 67 | loss: 0.00258153 | val_loss: 0.00256394 | Time: 5014.6 ms [2020-11-19 05:58:17 main:574] : INFO : Epoch 68 | loss: 0.00248566 | val_loss: 0.00246835 | Time: 5028.29 ms [2020-11-19 05:58:23 main:574] : INFO : Epoch 69 | loss: 0.00239284 | val_loss: 0.00237411 | Time: 5182.86 ms [2020-11-19 05:58:28 main:574] : INFO : Epoch 70 | loss: 0.00230319 | val_loss: 0.00228815 | Time: 5173.36 ms [2020-11-19 05:58:33 main:574] : INFO : Epoch 71 | loss: 0.00221621 | val_loss: 0.00219807 | Time: 5181.4 ms [2020-11-19 05:58:38 main:574] : INFO : Epoch 72 | loss: 0.00213224 | val_loss: 0.0021132 | Time: 4961.5 ms [2020-11-19 05:58:43 main:574] : INFO : Epoch 73 | loss: 0.00205052 | val_loss: 0.00203412 | Time: 5009.95 ms [2020-11-19 05:58:48 main:574] : INFO : Epoch 74 | loss: 0.00197219 | val_loss: 0.001954 | Time: 5000.35 ms [2020-11-19 05:58:53 main:574] : INFO : Epoch 75 | loss: 0.00189618 | val_loss: 0.00187771 | Time: 4988.7 ms [2020-11-19 05:58:58 main:574] : INFO : Epoch 76 | loss: 0.00182152 | val_loss: 0.00180253 | Time: 5011.1 ms [2020-11-19 05:59:03 main:574] : INFO : Epoch 77 | loss: 0.00175016 | val_loss: 0.0017355 | Time: 5024.24 ms [2020-11-19 05:59:09 main:574] : INFO : Epoch 78 | loss: 0.00168185 | val_loss: 0.00166651 | Time: 5068.79 ms [2020-11-19 05:59:14 main:574] : INFO : Epoch 79 | loss: 0.00161591 | val_loss: 0.00159784 | Time: 5004.58 ms [2020-11-19 05:59:19 main:574] : INFO : Epoch 80 | loss: 0.0015519 | val_loss: 0.00153537 | Time: 5071.56 ms [2020-11-19 05:59:24 main:574] : INFO : Epoch 81 | loss: 0.00149109 | val_loss: 0.00147954 | Time: 5198.97 ms [2020-11-19 05:59:29 main:574] : INFO : Epoch 82 | loss: 0.00143091 | val_loss: 0.00141574 | Time: 4945.42 ms [2020-11-19 05:59:34 main:574] : INFO : Epoch 83 | loss: 0.00137356 | val_loss: 0.00136257 | Time: 4952.7 ms [2020-11-19 05:59:39 main:574] : INFO : Epoch 84 | loss: 0.00131971 | val_loss: 0.00130229 | Time: 5077.05 ms [2020-11-19 05:59:44 main:574] : INFO : Epoch 85 | loss: 0.00126701 | val_loss: 0.0012514 | Time: 5075.65 ms [2020-11-19 05:59:49 main:574] : INFO : Epoch 86 | loss: 0.00121535 | val_loss: 0.00120398 | Time: 5056.57 ms [2020-11-19 05:59:54 main:574] : INFO : Epoch 87 | loss: 0.0011666 | val_loss: 0.00115141 | Time: 5043.58 ms [2020-11-19 05:59:59 main:574] : INFO : Epoch 88 | loss: 0.0011187 | val_loss: 0.00110546 | Time: 5086.38 ms [2020-11-19 06:00:04 main:574] : INFO : Epoch 89 | loss: 0.00107338 | val_loss: 0.00106307 | Time: 4991.3 ms [2020-11-19 06:00:10 main:574] : INFO : Epoch 90 | loss: 0.00102991 | val_loss: 0.00101916 | Time: 4973.13 ms [2020-11-19 06:00:14 main:574] : INFO : Epoch 91 | loss: 0.000987898 | val_loss: 0.000972058 | Time: 4948.95 ms [2020-11-19 06:00:19 main:574] : INFO : Epoch 92 | loss: 0.000946793 | val_loss: 0.000935642 | Time: 4966.28 ms [2020-11-19 06:00:25 main:574] : INFO : Epoch 93 | loss: 0.00090895 | val_loss: 0.00089865 | Time: 5113.92 ms [2020-11-19 06:00:30 main:574] : INFO : Epoch 94 | loss: 0.000871029 | val_loss: 0.000859905 | Time: 5011 ms [2020-11-19 06:00:35 main:574] : INFO : Epoch 95 | loss: 0.000836162 | val_loss: 0.000825139 | Time: 5022.32 ms [2020-11-19 06:00:40 main:574] : INFO : Epoch 96 | loss: 0.000801951 | val_loss: 0.000789991 | Time: 4966.75 ms [2020-11-19 06:00:45 main:574] : INFO : Epoch 97 | loss: 0.000769427 | val_loss: 0.00075924 | Time: 4967.09 ms [2020-11-19 06:00:50 main:574] : INFO : Epoch 98 | loss: 0.000738577 | val_loss: 0.000726928 | Time: 4962.2 ms [2020-11-19 06:00:55 main:574] : INFO : Epoch 99 | loss: 0.000709696 | val_loss: 0.000700132 | Time: 4960.58 ms [2020-11-19 06:01:00 main:574] : INFO : Epoch 100 | loss: 0.000680467 | val_loss: 0.000668188 | Time: 4953.72 ms [2020-11-19 06:01:05 main:574] : INFO : Epoch 101 | loss: 0.000653607 | val_loss: 0.000642364 | Time: 4962.22 ms [2020-11-19 06:01:10 main:574] : INFO : Epoch 102 | loss: 0.000627834 | val_loss: 0.000619831 | Time: 4945.05 ms [2020-11-19 06:01:15 main:574] : INFO : Epoch 103 | loss: 0.000604627 | val_loss: 0.000594531 | Time: 4960.43 ms [2020-11-19 06:01:20 main:574] : INFO : Epoch 104 | loss: 0.000580298 | val_loss: 0.000572253 | Time: 4956.21 ms [2020-11-19 06:01:25 main:574] : INFO : Epoch 105 | loss: 0.000558279 | val_loss: 0.000548969 | Time: 5241.48 ms [2020-11-19 06:01:30 main:574] : INFO : Epoch 106 | loss: 0.000538207 | val_loss: 0.000528831 | Time: 5243.91 ms [2020-11-19 06:01:36 main:574] : INFO : Epoch 107 | loss: 0.000518242 | val_loss: 0.000509841 | Time: 4973.22 ms [2020-11-19 06:01:41 main:574] : INFO : Epoch 108 | loss: 0.00049839 | val_loss: 0.000491776 | Time: 4962.49 ms [2020-11-19 06:01:46 main:574] : INFO : Epoch 109 | loss: 0.000480389 | val_loss: 0.000473416 | Time: 5002.94 ms [2020-11-19 06:01:51 main:574] : INFO : Epoch 110 | loss: 0.00046378 | val_loss: 0.000455022 | Time: 4945.03 ms [2020-11-19 06:01:56 main:574] : INFO : Epoch 111 | loss: 0.000446808 | val_loss: 0.000439188 | Time: 4949.72 ms [2020-11-19 06:02:01 main:574] : INFO : Epoch 112 | loss: 0.000432192 | val_loss: 0.000425563 | Time: 5035.95 ms [2020-11-19 06:02:06 main:574] : INFO : Epoch 113 | loss: 0.000416651 | val_loss: 0.000410677 | Time: 4996.06 ms [2020-11-19 06:02:11 main:574] : INFO : Epoch 114 | loss: 0.000402002 | val_loss: 0.000397011 | Time: 4954.23 ms [2020-11-19 06:02:16 main:574] : INFO : Epoch 115 | loss: 0.000388311 | val_loss: 0.000385276 | Time: 4974.61 ms [2020-11-19 06:02:21 main:574] : INFO : Epoch 116 | loss: 0.000375331 | val_loss: 0.000369898 | Time: 4991.54 ms [2020-11-19 06:02:26 main:574] : INFO : Epoch 117 | loss: 0.000363108 | val_loss: 0.00035659 | Time: 5106.55 ms [2020-11-19 06:02:31 main:574] : INFO : Epoch 118 | loss: 0.00035175 | val_loss: 0.000345866 | Time: 5042.95 ms [2020-11-19 06:02:36 main:574] : INFO : Epoch 119 | loss: 0.000339968 | val_loss: 0.000334581 | Time: 5085.03 ms [2020-11-19 06:02:41 main:574] : INFO : Epoch 120 | loss: 0.000329874 | val_loss: 0.00032385 | Time: 5090.42 ms [2020-11-19 06:02:46 main:574] : INFO : Epoch 121 | loss: 0.000319494 | val_loss: 0.000316108 | Time: 5090.82 ms [2020-11-19 06:02:52 main:574] : INFO : Epoch 122 | loss: 0.000310393 | val_loss: 0.000305626 | Time: 5083.33 ms [2020-11-19 06:02:57 main:574] : INFO : Epoch 123 | loss: 0.000300098 | val_loss: 0.000298038 | Time: 5119.83 ms [2020-11-19 06:03:02 main:574] : INFO : Epoch 124 | loss: 0.000291631 | val_loss: 0.00028911 | Time: 5063.29 ms [2020-11-19 06:03:07 main:574] : INFO : Epoch 125 | loss: 0.000283525 | val_loss: 0.000279986 | Time: 5039.51 ms [2020-11-19 06:03:12 main:574] : INFO : Epoch 126 | loss: 0.000275582 | val_loss: 0.000272951 | Time: 5045.67 ms [2020-11-19 06:03:17 main:574] : INFO : Epoch 127 | loss: 0.000267861 | val_loss: 0.0002649 | Time: 5003.89 ms [2020-11-19 06:03:22 main:574] : INFO : Epoch 128 | loss: 0.00026029 | val_loss: 0.000259303 | Time: 5077.45 ms [2020-11-19 06:03:27 main:574] : INFO : Epoch 129 | loss: 0.000254059 | val_loss: 0.000251241 | Time: 4963.49 ms [2020-11-19 06:03:32 main:574] : INFO : Epoch 130 | loss: 0.000247353 | val_loss: 0.000246094 | Time: 4954.57 ms [2020-11-19 06:03:37 main:574] : INFO : Epoch 131 | loss: 0.000241248 | val_loss: 0.000239209 | Time: 4946.05 ms [2020-11-19 06:03:42 main:574] : INFO : Epoch 132 | loss: 0.000235261 | val_loss: 0.000235061 | Time: 4953.92 ms [2020-11-19 06:03:47 main:574] : INFO : Epoch 133 | loss: 0.000229198 | val_loss: 0.000228271 | Time: 4956.79 ms [2020-11-19 06:03:52 main:574] : INFO : Epoch 134 | loss: 0.000223818 | val_loss: 0.000224649 | Time: 4976.62 ms [2020-11-19 06:03:57 main:574] : INFO : Epoch 135 | loss: 0.000217874 | val_loss: 0.000217135 | Time: 4945.08 ms [2020-11-19 06:04:02 main:574] : INFO : Epoch 136 | loss: 0.000213663 | val_loss: 0.000213911 | Time: 4955.02 ms [2020-11-19 06:04:07 main:574] : INFO : Epoch 137 | loss: 0.000207703 | val_loss: 0.000209499 | Time: 4948.58 ms [2020-11-19 06:04:12 main:574] : INFO : Epoch 138 | loss: 0.000203741 | val_loss: 0.000202102 | Time: 5197.3 ms [2020-11-19 06:04:18 main:574] : INFO : Epoch 139 | loss: 0.00019949 | val_loss: 0.000199066 | Time: 5135.24 ms [2020-11-19 06:04:23 main:574] : INFO : Epoch 140 | loss: 0.000194794 | val_loss: 0.000195465 | Time: 5151.34 ms [2020-11-19 06:04:28 main:574] : INFO : Epoch 141 | loss: 0.000190912 | val_loss: 0.000190751 | Time: 5250.13 ms [2020-11-19 06:04:34 main:574] : INFO : Epoch 142 | loss: 0.000186984 | val_loss: 0.000186276 | Time: 5260.18 ms [2020-11-19 06:04:39 main:574] : INFO : Epoch 143 | loss: 0.000182628 | val_loss: 0.000181702 | Time: 5272.91 ms [2020-11-19 06:04:44 main:574] : INFO : Epoch 144 | loss: 0.000179311 | val_loss: 0.000181201 | Time: 5237.9 ms [2020-11-19 06:04:49 main:574] : INFO : Epoch 145 | loss: 0.000175863 | val_loss: 0.000176201 | Time: 5229.43 ms [2020-11-19 06:04:55 main:574] : INFO : Epoch 146 | loss: 0.000171759 | val_loss: 0.000173988 | Time: 5157.98 ms [2020-11-19 06:05:00 main:574] : INFO : Epoch 147 | loss: 0.000169167 | val_loss: 0.000168252 | Time: 5025.62 ms [2020-11-19 06:05:05 main:574] : INFO : Epoch 148 | loss: 0.000165873 | val_loss: 0.000163741 | Time: 5020.82 ms [2020-11-19 06:05:10 main:574] : INFO : Epoch 149 | loss: 0.00016253 | val_loss: 0.000162238 | Time: 5044.34 ms [2020-11-19 06:05:15 main:574] : INFO : Epoch 150 | loss: 0.000159562 | val_loss: 0.000159344 | Time: 5017.93 ms [2020-11-19 06:05:20 main:574] : INFO : Epoch 151 | loss: 0.000156533 | val_loss: 0.000156753 | Time: 5050.28 ms [2020-11-19 06:05:25 main:574] : INFO : Epoch 152 | loss: 0.000154128 | val_loss: 0.000153661 | Time: 5086.42 ms [2020-11-19 06:05:30 main:574] : INFO : Epoch 153 | loss: 0.000151094 | val_loss: 0.000152768 | Time: 5025.56 ms [2020-11-19 06:05:35 main:574] : INFO : Epoch 154 | loss: 0.000148728 | val_loss: 0.000147652 | Time: 4969.16 ms [2020-11-19 06:05:40 main:574] : INFO : Epoch 155 | loss: 0.000146292 | val_loss: 0.000146487 | Time: 4959.51 ms [2020-11-19 06:05:45 main:574] : INFO : Epoch 156 | loss: 0.000143032 | val_loss: 0.000143711 | Time: 4965.31 ms [2020-11-19 06:05:50 main:574] : INFO : Epoch 157 | loss: 0.000141274 | val_loss: 0.000141139 | Time: 4965.05 ms [2020-11-19 06:05:55 main:574] : INFO : Epoch 158 | loss: 0.00013889 | val_loss: 0.000139672 | Time: 5056.7 ms [2020-11-19 06:06:01 main:574] : INFO : Epoch 159 | loss: 0.000136962 | val_loss: 0.000136447 | Time: 5219.16 ms [2020-11-19 06:06:06 main:574] : INFO : Epoch 160 | loss: 0.000134554 | val_loss: 0.000135194 | Time: 5239.72 ms [2020-11-19 06:06:11 main:574] : INFO : Epoch 161 | loss: 0.00013256 | val_loss: 0.000133145 | Time: 5233.86 ms [2020-11-19 06:06:17 main:574] : INFO : Epoch 162 | loss: 0.000130345 | val_loss: 0.000131284 | Time: 5223.59 ms [2020-11-19 06:06:22 main:574] : INFO : Epoch 163 | loss: 0.000127967 | val_loss: 0.000127774 | Time: 5281.07 ms [2020-11-19 06:06:27 main:574] : INFO : Epoch 164 | loss: 0.000125904 | val_loss: 0.000128066 | Time: 5000.82 ms [2020-11-19 06:06:32 main:574] : INFO : Epoch 165 | loss: 0.000124793 | val_loss: 0.000124744 | Time: 5029.91 ms [2020-11-19 06:06:37 main:574] : INFO : Epoch 166 | loss: 0.000122486 | val_loss: 0.000123272 | Time: 5021.77 ms [2020-11-19 06:06:42 main:574] : INFO : Epoch 167 | loss: 0.000120639 | val_loss: 0.000121675 | Time: 5039.72 ms [2020-11-19 06:06:47 main:574] : INFO : Epoch 168 | loss: 0.000119058 | val_loss: 0.000118836 | Time: 5092.22 ms [2020-11-19 06:06:52 main:574] : INFO : Epoch 169 | loss: 0.000117376 | val_loss: 0.000117152 | Time: 5039.18 ms [2020-11-19 06:06:57 main:574] : INFO : Epoch 170 | loss: 0.000115625 | val_loss: 0.00011859 | Time: 5050.9 ms [2020-11-19 06:07:03 main:574] : INFO : Epoch 171 | loss: 0.000114074 | val_loss: 0.000113895 | Time: 5022.59 ms [2020-11-19 06:07:08 main:574] : INFO : Epoch 172 | loss: 0.000113067 | val_loss: 0.000113068 | Time: 5035.51 ms [2020-11-19 06:07:13 main:574] : INFO : Epoch 173 | loss: 0.000111329 | val_loss: 0.0001134 | Time: 5033.77 ms [2020-11-19 06:07:18 main:574] : INFO : Epoch 174 | loss: 0.000109522 | val_loss: 0.000110771 | Time: 5089.82 ms [2020-11-19 06:07:23 main:574] : INFO : Epoch 175 | loss: 0.000107668 | val_loss: 0.000109364 | Time: 5141.72 ms [2020-11-19 06:07:28 main:574] : INFO : Epoch 176 | loss: 0.000106778 | val_loss: 0.000106552 | Time: 5065.11 ms [2020-11-19 06:07:33 main:574] : INFO : Epoch 177 | loss: 0.000105176 | val_loss: 0.000106116 | Time: 5013.22 ms [2020-11-19 06:07:38 main:574] : INFO : Epoch 178 | loss: 0.000104043 | val_loss: 0.000104431 | Time: 5049.25 ms [2020-11-19 06:07:43 main:574] : INFO : Epoch 179 | loss: 0.000102828 | val_loss: 0.000105273 | Time: 5024.3 ms [2020-11-19 06:07:48 main:574] : INFO : Epoch 180 | loss: 0.000101219 | val_loss: 0.000103103 | Time: 4990.16 ms [2020-11-19 06:07:53 main:574] : INFO : Epoch 181 | loss: 0.000100584 | val_loss: 0.000100305 | Time: 5029.03 ms [2020-11-19 06:07:59 main:574] : INFO : Epoch 182 | loss: 9.87486e-05 | val_loss: 0.000102287 | Time: 5013.19 ms [2020-11-19 06:08:04 main:574] : INFO : Epoch 183 | loss: 9.78893e-05 | val_loss: 9.96083e-05 | Time: 5019.17 ms [2020-11-19 06:08:09 main:574] : INFO : Epoch 184 | loss: 9.66171e-05 | val_loss: 9.73122e-05 | Time: 5013.08 ms [2020-11-19 06:08:14 main:574] : INFO : Epoch 185 | loss: 9.55462e-05 | val_loss: 9.6876e-05 | Time: 5015.65 ms [2020-11-19 06:08:19 main:574] : INFO : Epoch 186 | loss: 9.43801e-05 | val_loss: 9.54491e-05 | Time: 5044.99 ms [2020-11-19 06:08:24 main:574] : INFO : Epoch 187 | loss: 9.31615e-05 | val_loss: 9.45892e-05 | Time: 5139.09 ms [2020-11-19 06:08:29 main:574] : INFO : Epoch 188 | loss: 9.27139e-05 | val_loss: 9.24831e-05 | Time: 5116 ms [2020-11-19 06:08:34 main:574] : INFO : Epoch 189 | loss: 9.12997e-05 | val_loss: 9.33951e-05 | Time: 5135.7 ms [2020-11-19 06:08:39 main:574] : INFO : Epoch 190 | loss: 9.03514e-05 | val_loss: 9.10323e-05 | Time: 5112.79 ms [2020-11-19 06:08:45 main:574] : INFO : Epoch 191 | loss: 8.94835e-05 | val_loss: 8.92462e-05 | Time: 5109.08 ms [2020-11-19 06:08:50 main:574] : INFO : Epoch 192 | loss: 8.9082e-05 | val_loss: 8.80594e-05 | Time: 5084.23 ms [2020-11-19 06:08:50 main:597] : INFO : Saving trained model to model-final.pt, val_loss 8.80594e-05 [2020-11-19 06:08:50 main:603] : INFO : Saving end state to config to file [2020-11-19 06:08:50 main:608] : INFO : Success, exiting.. 06:08:50 (14028): 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)