Task 2830758
| Name | rand_automata_0061-1604984701-29164-0_2 |
| Workunit | 1264203 |
| Created | 11 Nov 2020, 5:38:30 UTC |
| Sent | 11 Nov 2020, 5:40:06 UTC |
| Report deadline | 12 Nov 2020, 4:10:06 UTC |
| Received | 11 Nov 2020, 11:46:27 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 1545 |
| Run time | 13 min 24 sec |
| CPU time | 12 min 45 sec |
| Validate state | Valid |
| Credit | 959.40 |
| Device peak FLOPS | 4,174.60 GFLOPS |
| Application version | Machine Learning Dataset Generator (test) v9.75 (cuda10200) windows_x86_64 |
| Peak working set size | 1.41 GB |
| Peak swap size | 3.04 GB |
| Peak disk usage | 1.54 GB |
Stderr output
<core_client_version>7.16.11</core_client_version> <![CDATA[ <stderr_txt> Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: GeForce GTX 970) [2020-11-11 13:33:01 main:435] : INFO : Set logging level to 1 [2020-11-11 13:33:01 main:441] : INFO : Running in BOINC Client mode [2020-11-11 13:33:01 main:444] : INFO : Resolving all filenames [2020-11-11 13:33:01 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0061-train-val-dataset.hdf5 (exists = 1) [2020-11-11 13:33:01 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0061-1604984701-29164-0_2_r1188780390_1 (exists = 0) [2020-11-11 13:33:01 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0061-1604984701-29164-0_2_r1188780390_0 (exists = 0) [2020-11-11 13:33:01 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 0) [2020-11-11 13:33:01 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-11 13:33:01 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/rand_automata_0061-train-val-dataset.hdf5 [2020-11-11 13:33:01 main:474] : INFO : Configuration: [2020-11-11 13:33:01 main:475] : INFO : Model type: LSTM [2020-11-11 13:33:01 main:476] : INFO : Validation Loss Threshold: 0.0001 [2020-11-11 13:33:01 main:477] : INFO : Max Epochs: 192 [2020-11-11 13:33:01 main:478] : INFO : Batch Size: 32 [2020-11-11 13:33:01 main:479] : INFO : Learning Rate: 0.001 [2020-11-11 13:33:01 main:480] : INFO : Patience: 10 [2020-11-11 13:33:01 main:481] : INFO : Hidden Width: 64 [2020-11-11 13:33:01 main:482] : INFO : # Recurrent Layers: 4 [2020-11-11 13:33:01 main:483] : INFO : # Backend Layers: 2 [2020-11-11 13:33:01 main:484] : INFO : # Threads: 1 [2020-11-11 13:33:01 main:486] : INFO : Preparing Dataset [2020-11-11 13:33:01 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0061-train-val-dataset.hdf5 into memory [2020-11-11 13:33:01 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0061-train-val-dataset.hdf5 into memory [2020-11-11 13:33:03 load:106] : INFO : Successfully loaded dataset of 4096 examples into memory. [2020-11-11 13:33:03 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0061-train-val-dataset.hdf5 into memory [2020-11-11 13:33:03 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0061-train-val-dataset.hdf5 into memory [2020-11-11 13:33:03 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-11 13:33:03 main:494] : INFO : Creating Model [2020-11-11 13:33:03 main:507] : INFO : Preparing config file [2020-11-11 13:33:03 main:519] : INFO : Creating new config file [2020-11-11 13:33:04 main:559] : INFO : Loading DataLoader into Memory [2020-11-11 13:33:04 main:562] : INFO : Starting Training [2020-11-11 13:33:09 main:574] : INFO : Epoch 1 | loss: 0.0661623 | val_loss: 0.0658108 | Time: 4444.55 ms [2020-11-11 13:33:13 main:574] : INFO : Epoch 2 | loss: 0.0644052 | val_loss: 0.0623052 | Time: 4000.31 ms [2020-11-11 13:33:17 main:574] : INFO : Epoch 3 | loss: 0.0610113 | val_loss: 0.0596344 | Time: 3974.18 ms [2020-11-11 13:33:21 main:574] : INFO : Epoch 4 | loss: 0.0583837 | val_loss: 0.0571309 | Time: 4161.09 ms [2020-11-11 13:33:25 main:574] : INFO : Epoch 5 | loss: 0.0561402 | val_loss: 0.055185 | Time: 3853.94 ms [2020-11-11 13:33:29 main:574] : INFO : Epoch 6 | loss: 0.0543884 | val_loss: 0.053682 | Time: 4118.1 ms [2020-11-11 13:33:33 main:574] : INFO : Epoch 7 | loss: 0.0529598 | val_loss: 0.0523199 | Time: 3937.15 ms [2020-11-11 13:33:37 main:574] : INFO : Epoch 8 | loss: 0.051717 | val_loss: 0.0510944 | Time: 4077.58 ms [2020-11-11 13:33:41 main:574] : INFO : Epoch 9 | loss: 0.0504535 | val_loss: 0.0498852 | Time: 4123.77 ms [2020-11-11 13:33:45 main:574] : INFO : Epoch 10 | loss: 0.0492463 | val_loss: 0.0488583 | Time: 3840.5 ms [2020-11-11 13:33:49 main:574] : INFO : Epoch 11 | loss: 0.0479463 | val_loss: 0.0474271 | Time: 4111.38 ms [2020-11-11 13:33:53 main:574] : INFO : Epoch 12 | loss: 0.0465325 | val_loss: 0.0461075 | Time: 3869.83 ms [2020-11-11 13:33:57 main:574] : INFO : Epoch 13 | loss: 0.0450167 | val_loss: 0.0446152 | Time: 4088.55 ms [2020-11-11 13:34:01 main:574] : INFO : Epoch 14 | loss: 0.04345 | val_loss: 0.0429083 | Time: 4129.67 ms [2020-11-11 13:34:05 main:574] : INFO : Epoch 15 | loss: 0.0416608 | val_loss: 0.0415137 | Time: 3847.46 ms [2020-11-11 13:34:10 main:574] : INFO : Epoch 16 | loss: 0.0395263 | val_loss: 0.0390927 | Time: 4108.2 ms [2020-11-11 13:34:13 main:574] : INFO : Epoch 17 | loss: 0.0373472 | val_loss: 0.036835 | Time: 3806.63 ms [2020-11-11 13:34:18 main:574] : INFO : Epoch 18 | loss: 0.034784 | val_loss: 0.034542 | Time: 4124.35 ms [2020-11-11 13:34:22 main:574] : INFO : Epoch 19 | loss: 0.0321107 | val_loss: 0.031684 | Time: 4111.64 ms [2020-11-11 13:34:26 main:574] : INFO : Epoch 20 | loss: 0.0294216 | val_loss: 0.0291384 | Time: 3846.33 ms [2020-11-11 13:34:30 main:574] : INFO : Epoch 21 | loss: 0.0272986 | val_loss: 0.0259102 | Time: 4133.55 ms [2020-11-11 13:34:34 main:574] : INFO : Epoch 22 | loss: 0.0246811 | val_loss: 0.0260788 | Time: 3842.81 ms [2020-11-11 13:34:38 main:574] : INFO : Epoch 23 | loss: 0.0218657 | val_loss: 0.0198965 | Time: 4103.01 ms [2020-11-11 13:34:42 main:574] : INFO : Epoch 24 | loss: 0.0218278 | val_loss: 0.0277622 | Time: 4056.46 ms [2020-11-11 13:34:46 main:574] : INFO : Epoch 25 | loss: 0.0233952 | val_loss: 0.0267397 | Time: 3837.6 ms [2020-11-11 13:34:50 main:574] : INFO : Epoch 26 | loss: 0.0228522 | val_loss: 0.0296066 | Time: 4201.92 ms [2020-11-11 13:34:54 main:574] : INFO : Epoch 27 | loss: 0.0311668 | val_loss: 0.0318091 | Time: 3852.55 ms [2020-11-11 13:34:58 main:574] : INFO : Epoch 28 | loss: 0.0221818 | val_loss: 0.0151845 | Time: 4150.37 ms [2020-11-11 13:35:02 main:574] : INFO : Epoch 29 | loss: 0.0129684 | val_loss: 0.0140503 | Time: 4081.52 ms [2020-11-11 13:35:06 main:574] : INFO : Epoch 30 | loss: 0.0214393 | val_loss: 0.0125932 | Time: 3854.42 ms [2020-11-11 13:35:10 main:574] : INFO : Epoch 31 | loss: 0.0133793 | val_loss: 0.0115431 | Time: 4068.19 ms [2020-11-11 13:35:14 main:574] : INFO : Epoch 32 | loss: 0.0107762 | val_loss: 0.0157675 | Time: 3836.64 ms [2020-11-11 13:35:18 main:574] : INFO : Epoch 33 | loss: 0.0102711 | val_loss: 0.00947258 | Time: 4108.08 ms [2020-11-11 13:35:23 main:574] : INFO : Epoch 34 | loss: 0.00876328 | val_loss: 0.00938744 | Time: 4042.47 ms [2020-11-11 13:35:27 main:574] : INFO : Epoch 35 | loss: 0.00816156 | val_loss: 0.00819104 | Time: 3935.7 ms [2020-11-11 13:35:31 main:574] : INFO : Epoch 36 | loss: 0.00779109 | val_loss: 0.00796547 | Time: 4141.05 ms [2020-11-11 13:35:35 main:574] : INFO : Epoch 37 | loss: 0.00738824 | val_loss: 0.00744582 | Time: 3859.23 ms [2020-11-11 13:35:39 main:574] : INFO : Epoch 38 | loss: 0.00705175 | val_loss: 0.00727535 | Time: 4110.49 ms [2020-11-11 13:35:43 main:574] : INFO : Epoch 39 | loss: 0.00676303 | val_loss: 0.0068668 | Time: 3959.85 ms [2020-11-11 13:35:47 main:574] : INFO : Epoch 40 | loss: 0.00650083 | val_loss: 0.00656153 | Time: 4072.66 ms [2020-11-11 13:35:51 main:574] : INFO : Epoch 41 | loss: 0.00624615 | val_loss: 0.00632886 | Time: 4063.12 ms [2020-11-11 13:35:55 main:574] : INFO : Epoch 42 | loss: 0.00606241 | val_loss: 0.00616626 | Time: 3842.92 ms [2020-11-11 13:35:59 main:574] : INFO : Epoch 43 | loss: 0.0057893 | val_loss: 0.00583078 | Time: 4101.61 ms [2020-11-11 13:36:03 main:574] : INFO : Epoch 44 | loss: 0.00559411 | val_loss: 0.00561385 | Time: 3870.8 ms [2020-11-11 13:36:07 main:574] : INFO : Epoch 45 | loss: 0.00536683 | val_loss: 0.00537381 | Time: 4077.43 ms [2020-11-11 13:36:11 main:574] : INFO : Epoch 46 | loss: 0.00515739 | val_loss: 0.00515295 | Time: 4134.26 ms [2020-11-11 13:36:15 main:574] : INFO : Epoch 47 | loss: 0.00495866 | val_loss: 0.00494761 | Time: 3853.75 ms [2020-11-11 13:36:19 main:574] : INFO : Epoch 48 | loss: 0.00477001 | val_loss: 0.00474401 | Time: 4149.61 ms [2020-11-11 13:36:23 main:574] : INFO : Epoch 49 | loss: 0.00457547 | val_loss: 0.00454227 | Time: 3832.52 ms [2020-11-11 13:36:28 main:574] : INFO : Epoch 50 | loss: 0.00439396 | val_loss: 0.00435322 | Time: 4166.17 ms [2020-11-11 13:36:32 main:574] : INFO : Epoch 51 | loss: 0.00421492 | val_loss: 0.00417242 | Time: 4178.11 ms [2020-11-11 13:36:36 main:574] : INFO : Epoch 52 | loss: 0.00405142 | val_loss: 0.00399377 | Time: 4002.04 ms [2020-11-11 13:36:40 main:574] : INFO : Epoch 53 | loss: 0.0038727 | val_loss: 0.00383262 | Time: 4160.81 ms [2020-11-11 13:36:44 main:574] : INFO : Epoch 54 | loss: 0.00370699 | val_loss: 0.00365736 | Time: 3903.89 ms [2020-11-11 13:36:48 main:574] : INFO : Epoch 55 | loss: 0.00354783 | val_loss: 0.00349059 | Time: 4126.99 ms [2020-11-11 13:36:52 main:574] : INFO : Epoch 56 | loss: 0.00339213 | val_loss: 0.003336 | Time: 4048.7 ms [2020-11-11 13:36:56 main:574] : INFO : Epoch 57 | loss: 0.00325966 | val_loss: 0.00322087 | Time: 3888.93 ms [2020-11-11 13:37:00 main:574] : INFO : Epoch 58 | loss: 0.00310308 | val_loss: 0.00303735 | Time: 4083.73 ms [2020-11-11 13:37:04 main:574] : INFO : Epoch 59 | loss: 0.0029583 | val_loss: 0.00290076 | Time: 3834.83 ms [2020-11-11 13:37:08 main:574] : INFO : Epoch 60 | loss: 0.00282403 | val_loss: 0.00276766 | Time: 4151.42 ms [2020-11-11 13:37:13 main:574] : INFO : Epoch 61 | loss: 0.00269451 | val_loss: 0.00263913 | Time: 4027.81 ms [2020-11-11 13:37:17 main:574] : INFO : Epoch 62 | loss: 0.00256908 | val_loss: 0.00251305 | Time: 3971.49 ms [2020-11-11 13:37:21 main:574] : INFO : Epoch 63 | loss: 0.00244743 | val_loss: 0.00239051 | Time: 4079.66 ms [2020-11-11 13:37:25 main:574] : INFO : Epoch 64 | loss: 0.0023316 | val_loss: 0.00227737 | Time: 3856.03 ms [2020-11-11 13:37:29 main:574] : INFO : Epoch 65 | loss: 0.00221933 | val_loss: 0.00216461 | Time: 4139.82 ms [2020-11-11 13:37:33 main:574] : INFO : Epoch 66 | loss: 0.00211183 | val_loss: 0.00206168 | Time: 3938.52 ms [2020-11-11 13:37:37 main:574] : INFO : Epoch 67 | loss: 0.00200877 | val_loss: 0.0019557 | Time: 4058.07 ms [2020-11-11 13:37:41 main:574] : INFO : Epoch 68 | loss: 0.00190841 | val_loss: 0.00185915 | Time: 4124.96 ms [2020-11-11 13:37:45 main:574] : INFO : Epoch 69 | loss: 0.00181267 | val_loss: 0.00176466 | Time: 3875.81 ms [2020-11-11 13:37:49 main:574] : INFO : Epoch 70 | loss: 0.00172141 | val_loss: 0.00167668 | Time: 4155.55 ms [2020-11-11 13:37:53 main:574] : INFO : Epoch 71 | loss: 0.0016343 | val_loss: 0.00158753 | Time: 3851.41 ms [2020-11-11 13:37:57 main:574] : INFO : Epoch 72 | loss: 0.00155024 | val_loss: 0.00150712 | Time: 4101.46 ms [2020-11-11 13:38:02 main:574] : INFO : Epoch 73 | loss: 0.00147221 | val_loss: 0.00142866 | Time: 4148.79 ms [2020-11-11 13:38:05 main:574] : INFO : Epoch 74 | loss: 0.00139649 | val_loss: 0.0013565 | Time: 3863.05 ms [2020-11-11 13:38:10 main:574] : INFO : Epoch 75 | loss: 0.00132485 | val_loss: 0.00128636 | Time: 4125.59 ms [2020-11-11 13:38:13 main:574] : INFO : Epoch 76 | loss: 0.00125612 | val_loss: 0.00121941 | Time: 3828.3 ms [2020-11-11 13:38:18 main:574] : INFO : Epoch 77 | loss: 0.00119172 | val_loss: 0.00115709 | Time: 4151 ms [2020-11-11 13:38:22 main:574] : INFO : Epoch 78 | loss: 0.00113012 | val_loss: 0.00109609 | Time: 4183.36 ms [2020-11-11 13:38:26 main:574] : INFO : Epoch 79 | loss: 0.00107124 | val_loss: 0.00104234 | Time: 3808.96 ms [2020-11-11 13:38:30 main:574] : INFO : Epoch 80 | loss: 0.00101605 | val_loss: 0.000984232 | Time: 4161.65 ms [2020-11-11 13:38:34 main:574] : INFO : Epoch 81 | loss: 0.000963403 | val_loss: 0.000934618 | Time: 3889.23 ms [2020-11-11 13:38:38 main:574] : INFO : Epoch 82 | loss: 0.000913432 | val_loss: 0.000884535 | Time: 4126.45 ms [2020-11-11 13:38:42 main:574] : INFO : Epoch 83 | loss: 0.000866601 | val_loss: 0.000838295 | Time: 4082.49 ms [2020-11-11 13:38:46 main:574] : INFO : Epoch 84 | loss: 0.000822477 | val_loss: 0.000795189 | Time: 3856.97 ms [2020-11-11 13:38:50 main:574] : INFO : Epoch 85 | loss: 0.000779843 | val_loss: 0.000756552 | Time: 4093.56 ms [2020-11-11 13:38:54 main:574] : INFO : Epoch 86 | loss: 0.000740119 | val_loss: 0.000715755 | Time: 3831.67 ms [2020-11-11 13:38:58 main:574] : INFO : Epoch 87 | loss: 0.000702288 | val_loss: 0.000678676 | Time: 4113.78 ms [2020-11-11 13:39:02 main:574] : INFO : Epoch 88 | loss: 0.000666465 | val_loss: 0.000644901 | Time: 4029.61 ms [2020-11-11 13:39:06 main:574] : INFO : Epoch 89 | loss: 0.000632646 | val_loss: 0.000611044 | Time: 3904.89 ms [2020-11-11 13:39:11 main:574] : INFO : Epoch 90 | loss: 0.000601537 | val_loss: 0.000582916 | Time: 4144.44 ms [2020-11-11 13:39:14 main:574] : INFO : Epoch 91 | loss: 0.000571541 | val_loss: 0.00055158 | Time: 3864.48 ms [2020-11-11 13:39:19 main:574] : INFO : Epoch 92 | loss: 0.000543653 | val_loss: 0.000524735 | Time: 4089.12 ms [2020-11-11 13:39:23 main:574] : INFO : Epoch 93 | loss: 0.000516028 | val_loss: 0.000500016 | Time: 3979.72 ms [2020-11-11 13:39:27 main:574] : INFO : Epoch 94 | loss: 0.000490675 | val_loss: 0.000473903 | Time: 3994.84 ms [2020-11-11 13:39:31 main:574] : INFO : Epoch 95 | loss: 0.00046649 | val_loss: 0.000451818 | Time: 4111.24 ms [2020-11-11 13:39:35 main:574] : INFO : Epoch 96 | loss: 0.000444005 | val_loss: 0.000429466 | Time: 3840.45 ms [2020-11-11 13:39:39 main:574] : INFO : Epoch 97 | loss: 0.000422824 | val_loss: 0.000408828 | Time: 4084.79 ms [2020-11-11 13:39:43 main:574] : INFO : Epoch 98 | loss: 0.000401729 | val_loss: 0.000390183 | Time: 3946.75 ms [2020-11-11 13:39:47 main:574] : INFO : Epoch 99 | loss: 0.000383353 | val_loss: 0.000371714 | Time: 3935.81 ms [2020-11-11 13:39:51 main:574] : INFO : Epoch 100 | loss: 0.00036435 | val_loss: 0.000352864 | Time: 4037.52 ms [2020-11-11 13:39:55 main:574] : INFO : Epoch 101 | loss: 0.000346927 | val_loss: 0.000334659 | Time: 3862.51 ms [2020-11-11 13:39:59 main:574] : INFO : Epoch 102 | loss: 0.000330637 | val_loss: 0.00031993 | Time: 4122.73 ms [2020-11-11 13:40:03 main:574] : INFO : Epoch 103 | loss: 0.000315621 | val_loss: 0.00030628 | Time: 3906.77 ms [2020-11-11 13:40:07 main:574] : INFO : Epoch 104 | loss: 0.000301699 | val_loss: 0.000289503 | Time: 4106.74 ms [2020-11-11 13:40:11 main:574] : INFO : Epoch 105 | loss: 0.000287451 | val_loss: 0.000279199 | Time: 4138.61 ms [2020-11-11 13:40:15 main:574] : INFO : Epoch 106 | loss: 0.000275014 | val_loss: 0.000266944 | Time: 3860.57 ms [2020-11-11 13:40:19 main:574] : INFO : Epoch 107 | loss: 0.000262837 | val_loss: 0.000254405 | Time: 4147.45 ms [2020-11-11 13:40:23 main:574] : INFO : Epoch 108 | loss: 0.000251247 | val_loss: 0.000245207 | Time: 3872.24 ms [2020-11-11 13:40:28 main:574] : INFO : Epoch 109 | loss: 0.000240216 | val_loss: 0.00023773 | Time: 4144.73 ms [2020-11-11 13:40:32 main:574] : INFO : Epoch 110 | loss: 0.000231402 | val_loss: 0.00022344 | Time: 4160.15 ms [2020-11-11 13:40:36 main:574] : INFO : Epoch 111 | loss: 0.000222462 | val_loss: 0.000217745 | Time: 3878.31 ms [2020-11-11 13:40:40 main:574] : INFO : Epoch 112 | loss: 0.000211307 | val_loss: 0.00020613 | Time: 4099.19 ms [2020-11-11 13:40:44 main:574] : INFO : Epoch 113 | loss: 0.000203264 | val_loss: 0.000196854 | Time: 3704.64 ms [2020-11-11 13:40:48 main:574] : INFO : Epoch 114 | loss: 0.000195536 | val_loss: 0.000195578 | Time: 4113.27 ms [2020-11-11 13:40:53 main:574] : INFO : Epoch 115 | loss: 0.000188297 | val_loss: 0.000184352 | Time: 4044.22 ms [2020-11-11 13:40:56 main:574] : INFO : Epoch 116 | loss: 0.000180766 | val_loss: 0.000178406 | Time: 3906.75 ms [2020-11-11 13:41:01 main:574] : INFO : Epoch 117 | loss: 0.000173946 | val_loss: 0.000174336 | Time: 4134.59 ms [2020-11-11 13:41:05 main:574] : INFO : Epoch 118 | loss: 0.000167915 | val_loss: 0.000164819 | Time: 3881.93 ms [2020-11-11 13:41:09 main:574] : INFO : Epoch 119 | loss: 0.000160761 | val_loss: 0.000157431 | Time: 4166.66 ms [2020-11-11 13:41:13 main:574] : INFO : Epoch 120 | loss: 0.000156482 | val_loss: 0.000151637 | Time: 3947.6 ms [2020-11-11 13:41:17 main:574] : INFO : Epoch 121 | loss: 0.000150161 | val_loss: 0.000147949 | Time: 4094.03 ms [2020-11-11 13:41:21 main:574] : INFO : Epoch 122 | loss: 0.000145887 | val_loss: 0.000144733 | Time: 4162.72 ms [2020-11-11 13:41:25 main:574] : INFO : Epoch 123 | loss: 0.000140317 | val_loss: 0.000137749 | Time: 3874.27 ms [2020-11-11 13:41:29 main:574] : INFO : Epoch 124 | loss: 0.00013535 | val_loss: 0.000132598 | Time: 4082.02 ms [2020-11-11 13:41:33 main:574] : INFO : Epoch 125 | loss: 0.000131 | val_loss: 0.000128523 | Time: 3854.36 ms [2020-11-11 13:41:37 main:574] : INFO : Epoch 126 | loss: 0.000126782 | val_loss: 0.000124764 | Time: 4144.34 ms [2020-11-11 13:41:42 main:574] : INFO : Epoch 127 | loss: 0.000123102 | val_loss: 0.000121097 | Time: 4272.62 ms [2020-11-11 13:41:46 main:574] : INFO : Epoch 128 | loss: 0.000118979 | val_loss: 0.000117514 | Time: 4093.15 ms [2020-11-11 13:41:50 main:574] : INFO : Epoch 129 | loss: 0.000115684 | val_loss: 0.000114626 | Time: 4151.59 ms [2020-11-11 13:41:54 main:574] : INFO : Epoch 130 | loss: 0.000112424 | val_loss: 0.000110789 | Time: 3792.67 ms [2020-11-11 13:41:58 main:574] : INFO : Epoch 131 | loss: 0.000108877 | val_loss: 0.000106297 | Time: 4128.19 ms [2020-11-11 13:42:02 main:574] : INFO : Epoch 132 | loss: 0.000106147 | val_loss: 0.000102783 | Time: 4129.48 ms [2020-11-11 13:42:06 main:574] : INFO : Epoch 133 | loss: 0.000103129 | val_loss: 0.00010082 | Time: 3861.82 ms [2020-11-11 13:42:10 main:574] : INFO : Epoch 134 | loss: 0.000100264 | val_loss: 9.95722e-05 | Time: 4124.65 ms [2020-11-11 13:42:14 main:574] : INFO : Epoch 135 | loss: 9.78042e-05 | val_loss: 9.73214e-05 | Time: 3814.74 ms [2020-11-11 13:42:18 main:574] : INFO : Epoch 136 | loss: 9.53398e-05 | val_loss: 9.3694e-05 | Time: 4122.96 ms [2020-11-11 13:42:22 main:574] : INFO : Epoch 137 | loss: 9.25875e-05 | val_loss: 8.96585e-05 | Time: 4021.18 ms [2020-11-11 13:42:26 main:574] : INFO : Epoch 138 | loss: 9.00474e-05 | val_loss: 8.81921e-05 | Time: 3945.5 ms [2020-11-11 13:42:31 main:574] : INFO : Epoch 139 | loss: 8.76374e-05 | val_loss: 8.56837e-05 | Time: 4138.35 ms [2020-11-11 13:42:34 main:574] : INFO : Epoch 140 | loss: 8.53217e-05 | val_loss: 8.41068e-05 | Time: 3813.57 ms [2020-11-11 13:42:39 main:574] : INFO : Epoch 141 | loss: 8.37814e-05 | val_loss: 8.15095e-05 | Time: 4107.88 ms [2020-11-11 13:42:43 main:574] : INFO : Epoch 142 | loss: 8.1554e-05 | val_loss: 8.11994e-05 | Time: 3989.98 ms [2020-11-11 13:42:47 main:574] : INFO : Epoch 143 | loss: 8.01681e-05 | val_loss: 7.84416e-05 | Time: 4110.73 ms [2020-11-11 13:42:51 main:574] : INFO : Epoch 144 | loss: 7.79629e-05 | val_loss: 7.66814e-05 | Time: 4092.86 ms [2020-11-11 13:42:55 main:574] : INFO : Epoch 145 | loss: 7.59165e-05 | val_loss: 7.47745e-05 | Time: 3876.63 ms [2020-11-11 13:42:59 main:574] : INFO : Epoch 146 | loss: 7.53685e-05 | val_loss: 7.39544e-05 | Time: 4120.57 ms [2020-11-11 13:43:03 main:574] : INFO : Epoch 147 | loss: 7.35496e-05 | val_loss: 7.19454e-05 | Time: 3854.62 ms [2020-11-11 13:43:07 main:574] : INFO : Epoch 148 | loss: 7.14495e-05 | val_loss: 7.14955e-05 | Time: 4085.45 ms [2020-11-11 13:43:11 main:574] : INFO : Epoch 149 | loss: 6.98955e-05 | val_loss: 6.89709e-05 | Time: 4120.11 ms [2020-11-11 13:43:15 main:574] : INFO : Epoch 150 | loss: 6.91367e-05 | val_loss: 7.93524e-05 | Time: 3879.89 ms [2020-11-11 13:43:20 main:574] : INFO : Epoch 151 | loss: 6.68925e-05 | val_loss: 6.76737e-05 | Time: 4173.81 ms [2020-11-11 13:43:23 main:574] : INFO : Epoch 152 | loss: 6.55631e-05 | val_loss: 6.52605e-05 | Time: 3862.84 ms [2020-11-11 13:43:28 main:574] : INFO : Epoch 153 | loss: 6.46069e-05 | val_loss: 6.27375e-05 | Time: 4137 ms [2020-11-11 13:43:32 main:574] : INFO : Epoch 154 | loss: 6.36706e-05 | val_loss: 6.14713e-05 | Time: 4081.67 ms [2020-11-11 13:43:36 main:574] : INFO : Epoch 155 | loss: 6.19014e-05 | val_loss: 6.17288e-05 | Time: 3851.29 ms [2020-11-11 13:43:40 main:574] : INFO : Epoch 156 | loss: 6.04551e-05 | val_loss: 6.14994e-05 | Time: 4197.21 ms [2020-11-11 13:43:44 main:574] : INFO : Epoch 157 | loss: 6.02648e-05 | val_loss: 5.95293e-05 | Time: 3824.48 ms [2020-11-11 13:43:48 main:574] : INFO : Epoch 158 | loss: 5.88477e-05 | val_loss: 6.05831e-05 | Time: 4122.88 ms [2020-11-11 13:43:52 main:574] : INFO : Epoch 159 | loss: 5.78594e-05 | val_loss: 5.64132e-05 | Time: 4143.76 ms [2020-11-11 13:43:56 main:574] : INFO : Epoch 160 | loss: 5.67105e-05 | val_loss: 5.7266e-05 | Time: 3873.47 ms [2020-11-11 13:44:00 main:574] : INFO : Epoch 161 | loss: 5.57667e-05 | val_loss: 5.74781e-05 | Time: 4151.73 ms [2020-11-11 13:44:04 main:574] : INFO : Epoch 162 | loss: 5.48718e-05 | val_loss: 5.53786e-05 | Time: 3881.5 ms [2020-11-11 13:44:08 main:574] : INFO : Epoch 163 | loss: 5.35106e-05 | val_loss: 5.44373e-05 | Time: 4143.14 ms [2020-11-11 13:44:13 main:574] : INFO : Epoch 164 | loss: 5.30257e-05 | val_loss: 5.18834e-05 | Time: 4042.46 ms [2020-11-11 13:44:17 main:574] : INFO : Epoch 165 | loss: 5.22418e-05 | val_loss: 5.19171e-05 | Time: 3947.01 ms [2020-11-11 13:44:21 main:574] : INFO : Epoch 166 | loss: 5.15025e-05 | val_loss: 5.29298e-05 | Time: 4131.4 ms [2020-11-11 13:44:25 main:574] : INFO : Epoch 167 | loss: 5.04997e-05 | val_loss: 4.91037e-05 | Time: 3856.54 ms [2020-11-11 13:44:29 main:574] : INFO : Epoch 168 | loss: 5.00542e-05 | val_loss: 4.89917e-05 | Time: 4129.6 ms [2020-11-11 13:44:33 main:574] : INFO : Epoch 169 | loss: 4.86955e-05 | val_loss: 4.72501e-05 | Time: 3973.7 ms [2020-11-11 13:44:37 main:574] : INFO : Epoch 170 | loss: 4.82142e-05 | val_loss: 5.06662e-05 | Time: 4031.6 ms [2020-11-11 13:44:41 main:574] : INFO : Epoch 171 | loss: 4.78363e-05 | val_loss: 4.68478e-05 | Time: 4136.53 ms [2020-11-11 13:44:45 main:574] : INFO : Epoch 172 | loss: 4.65057e-05 | val_loss: 4.63038e-05 | Time: 3841.78 ms [2020-11-11 13:44:49 main:574] : INFO : Epoch 173 | loss: 4.6182e-05 | val_loss: 4.44518e-05 | Time: 4144.19 ms [2020-11-11 13:44:53 main:574] : INFO : Epoch 174 | loss: 4.57282e-05 | val_loss: 4.6343e-05 | Time: 3851.07 ms [2020-11-11 13:44:57 main:574] : INFO : Epoch 175 | loss: 4.46284e-05 | val_loss: 4.49884e-05 | Time: 4134.85 ms [2020-11-11 13:45:02 main:574] : INFO : Epoch 176 | loss: 4.47384e-05 | val_loss: 4.29194e-05 | Time: 4176.94 ms [2020-11-11 13:45:05 main:574] : INFO : Epoch 177 | loss: 4.33763e-05 | val_loss: 5.09027e-05 | Time: 3822.86 ms [2020-11-11 13:45:10 main:574] : INFO : Epoch 178 | loss: 4.33901e-05 | val_loss: 4.20654e-05 | Time: 4129.1 ms [2020-11-11 13:45:13 main:574] : INFO : Epoch 179 | loss: 4.2728e-05 | val_loss: 4.17993e-05 | Time: 3859.98 ms [2020-11-11 13:45:18 main:574] : INFO : Epoch 180 | loss: 4.17205e-05 | val_loss: 4.11624e-05 | Time: 4090.72 ms [2020-11-11 13:45:22 main:574] : INFO : Epoch 181 | loss: 4.15088e-05 | val_loss: 4.25193e-05 | Time: 4085.41 ms [2020-11-11 13:45:26 main:574] : INFO : Epoch 182 | loss: 4.14398e-05 | val_loss: 3.94857e-05 | Time: 3859.81 ms [2020-11-11 13:45:30 main:574] : INFO : Epoch 183 | loss: 3.97647e-05 | val_loss: 3.88337e-05 | Time: 4122.39 ms [2020-11-11 13:45:34 main:574] : INFO : Epoch 184 | loss: 3.99164e-05 | val_loss: 3.85733e-05 | Time: 3827.65 ms [2020-11-11 13:45:38 main:574] : INFO : Epoch 185 | loss: 4.00414e-05 | val_loss: 4.00357e-05 | Time: 4114.42 ms [2020-11-11 13:45:42 main:574] : INFO : Epoch 186 | loss: 3.82354e-05 | val_loss: 3.78174e-05 | Time: 4145.54 ms [2020-11-11 13:45:46 main:574] : INFO : Epoch 187 | loss: 3.85086e-05 | val_loss: 3.81495e-05 | Time: 3857.7 ms [2020-11-11 13:45:50 main:574] : INFO : Epoch 188 | loss: 3.80244e-05 | val_loss: 3.77587e-05 | Time: 4098.17 ms [2020-11-11 13:45:54 main:574] : INFO : Epoch 189 | loss: 3.78413e-05 | val_loss: 3.87267e-05 | Time: 3857.4 ms [2020-11-11 13:45:58 main:574] : INFO : Epoch 190 | loss: 3.82075e-05 | val_loss: 3.60085e-05 | Time: 4198.43 ms [2020-11-11 13:46:02 main:574] : INFO : Epoch 191 | loss: 3.60857e-05 | val_loss: 3.65944e-05 | Time: 4059.87 ms [2020-11-11 13:46:07 main:574] : INFO : Epoch 192 | loss: 3.56521e-05 | val_loss: 3.47344e-05 | Time: 3962.55 ms [2020-11-11 13:46:07 main:597] : INFO : Saving trained model to model-final.pt, val_loss 3.47344e-05 [2020-11-11 13:46:07 main:603] : INFO : Saving end state to config to file [2020-11-11 13:46:07 main:608] : INFO : Success, exiting.. 13:46:07 (6160): 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)