Task 8420883
| Name | ParityModified-1634615652-18363-1_0 |
| Workunit | 5928695 |
| Created | 26 Oct 2021, 9:08:41 UTC |
| Sent | 29 Oct 2021, 18:59:52 UTC |
| Report deadline | 5 Nov 2021, 18:59:52 UTC |
| Received | 6 Jan 2022, 22:19:28 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 860 |
| Run time | 4 hours 58 min 24 sec |
| CPU time | 4 hours 41 min 30 sec |
| Validate state | Task was reported too late to validate |
| Credit | 0.00 |
| Device peak FLOPS | 1,219.20 GFLOPS |
| Application version | Machine Learning Dataset Generator (GPU) v9.75 (cuda10200) windows_x86_64 |
| Peak working set size | 2.51 GB |
| Peak swap size | 3.59 GB |
| Peak disk usage | 1.54 GB |
Stderr output
<core_client_version>7.16.20</core_client_version>
<![CDATA[
<stderr_txt>
main:574] : INFO : Epoch 1652 | loss: 0.0311193 | val_loss: 0.0311552 | Time: 10712.6 ms
[2022-01-06 19:29:50 main:574] : INFO : Epoch 1653 | loss: 0.0311184 | val_loss: 0.0311519 | Time: 10203.4 ms
[2022-01-06 19:30:00 main:574] : INFO : Epoch 1654 | loss: 0.0311167 | val_loss: 0.0311551 | Time: 10471.3 ms
[2022-01-06 19:30:13 main:574] : INFO : Epoch 1655 | loss: 0.031117 | val_loss: 0.0311552 | Time: 12285.9 ms
Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: GeForce MX250)
[2022-01-07 07:00:06 main:435] : INFO : Set logging level to 1
[2022-01-07 07:00:06 main:441] : INFO : Running in BOINC Client mode
[2022-01-07 07:00:06 main:444] : INFO : Resolving all filenames
[2022-01-07 07:00:06 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 (exists = 1)
[2022-01-07 07:00:06 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1634615652-18363-1_0_r907305986_1 (exists = 1)
[2022-01-07 07:00:06 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1634615652-18363-1_0_r907305986_0 (exists = 0)
[2022-01-07 07:00:06 main:452] : INFO : Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1634615652-18363-1 (exists = 1)
[2022-01-07 07:00:06 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1)
[2022-01-07 07:00:06 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5
[2022-01-07 07:00:06 main:474] : INFO : Configuration:
[2022-01-07 07:00:07 main:475] : INFO : Model type: GRU
[2022-01-07 07:00:07 main:476] : INFO : Validation Loss Threshold: 0.0001
[2022-01-07 07:00:07 main:477] : INFO : Max Epochs: 2048
[2022-01-07 07:00:07 main:478] : INFO : Batch Size: 128
[2022-01-07 07:00:07 main:479] : INFO : Learning Rate: 0.01
[2022-01-07 07:00:07 main:480] : INFO : Patience: 10
[2022-01-07 07:00:07 main:481] : INFO : Hidden Width: 12
[2022-01-07 07:00:07 main:482] : INFO : # Recurrent Layers: 4
[2022-01-07 07:00:07 main:483] : INFO : # Backend Layers: 4
[2022-01-07 07:00:07 main:484] : INFO : # Threads: 1
[2022-01-07 07:00:07 main:486] : INFO : Preparing Dataset
[2022-01-07 07:00:07 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory
Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: GeForce MX250)
[2022-01-07 08:27:05 main:435] : INFO : Set logging level to 1
[2022-01-07 08:27:05 main:441] : INFO : Running in BOINC Client mode
[2022-01-07 08:27:05 main:444] : INFO : Resolving all filenames
[2022-01-07 08:27:05 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 (exists = 1)
[2022-01-07 08:27:05 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1634615652-18363-1_0_r907305986_1 (exists = 1)
[2022-01-07 08:27:05 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1634615652-18363-1_0_r907305986_0 (exists = 0)
[2022-01-07 08:27:05 main:452] : INFO : Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1634615652-18363-1 (exists = 1)
[2022-01-07 08:27:05 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1)
[2022-01-07 08:27:05 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5
[2022-01-07 08:27:05 main:474] : INFO : Configuration:
[2022-01-07 08:27:05 main:475] : INFO : Model type: GRU
[2022-01-07 08:27:05 main:476] : INFO : Validation Loss Threshold: 0.0001
[2022-01-07 08:27:05 main:477] : INFO : Max Epochs: 2048
[2022-01-07 08:27:05 main:478] : INFO : Batch Size: 128
[2022-01-07 08:27:05 main:479] : INFO : Learning Rate: 0.01
[2022-01-07 08:27:05 main:480] : INFO : Patience: 10
[2022-01-07 08:27:05 main:481] : INFO : Hidden Width: 12
[2022-01-07 08:27:05 main:482] : INFO : # Recurrent Layers: 4
[2022-01-07 08:27:05 main:483] : INFO : # Backend Layers: 4
[2022-01-07 08:27:05 main:484] : INFO : # Threads: 1
[2022-01-07 08:27:05 main:486] : INFO : Preparing Dataset
[2022-01-07 08:27:05 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory
[2022-01-07 08:27:05 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory
[2022-01-07 08:27:07 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory.
[2022-01-07 08:27:07 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory
[2022-01-07 08:27:07 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory
[2022-01-07 08:27:07 load:106] : INFO : Successfully loaded dataset of 512 examples into memory.
[2022-01-07 08:27:07 main:494] : INFO : Creating Model
[2022-01-07 08:27:08 main:507] : INFO : Preparing config file
[2022-01-07 08:27:08 main:511] : INFO : Found checkpoint, attempting to load...
[2022-01-07 08:27:08 main:512] : INFO : Loading config
[2022-01-07 08:27:08 main:514] : INFO : Loading state
[2022-01-07 08:27:09 main:559] : INFO : Loading DataLoader into Memory
[2022-01-07 08:27:09 main:562] : INFO : Starting Training
[2022-01-07 08:27:13 main:574] : INFO : Epoch 1647 | loss: 0.0311438 | val_loss: 0.0311515 | Time: 4905.69 ms
[2022-01-07 08:27:20 main:574] : INFO : Epoch 1648 | loss: 0.0311225 | val_loss: 0.0311521 | Time: 6103.42 ms
[2022-01-07 08:27:29 main:574] : INFO : Epoch 1649 | loss: 0.0311186 | val_loss: 0.0311568 | Time: 9491.81 ms
[2022-01-07 08:27:39 main:574] : INFO : Epoch 1650 | loss: 0.0311211 | val_loss: 0.0311586 | Time: 9860.67 ms
[2022-01-07 08:27:49 main:574] : INFO : Epoch 1651 | loss: 0.0311195 | val_loss: 0.0311499 | Time: 9672.69 ms
[2022-01-07 08:27:58 main:574] : INFO : Epoch 1652 | loss: 0.0311217 | val_loss: 0.0311604 | Time: 9735.52 ms
[2022-01-07 08:28:08 main:574] : INFO : Epoch 1653 | loss: 0.0311209 | val_loss: 0.0311638 | Time: 9957.68 ms
[2022-01-07 08:28:18 main:574] : INFO : Epoch 1654 | loss: 0.0311209 | val_loss: 0.0311596 | Time: 9899.2 ms
[2022-01-07 08:28:28 main:574] : INFO : Epoch 1655 | loss: 0.0311194 | val_loss: 0.0311595 | Time: 9667.2 ms
[2022-01-07 08:28:37 main:574] : INFO : Epoch 1656 | loss: 0.0311167 | val_loss: 0.0311572 | Time: 9512.05 ms
[2022-01-07 08:28:47 main:574] : INFO : Epoch 1657 | loss: 0.0311187 | val_loss: 0.0311551 | Time: 9581.48 ms
[2022-01-07 08:28:57 main:574] : INFO : Epoch 1658 | loss: 0.0311205 | val_loss: 0.0311511 | Time: 10057.7 ms
[2022-01-07 08:29:07 main:574] : INFO : Epoch 1659 | loss: 0.0311206 | val_loss: 0.0311564 | Time: 9979.06 ms
[2022-01-07 08:29:17 main:574] : INFO : Epoch 1660 | loss: 0.0311188 | val_loss: 0.0311601 | Time: 9459.36 ms
[2022-01-07 08:29:26 main:574] : INFO : Epoch 1661 | loss: 0.0311181 | val_loss: 0.031158 | Time: 9369.9 ms
[2022-01-07 08:29:36 main:574] : INFO : Epoch 1662 | loss: 0.0311185 | val_loss: 0.0311572 | Time: 9662.95 ms
[2022-01-07 08:29:46 main:574] : INFO : Epoch 1663 | loss: 0.0311177 | val_loss: 0.0311534 | Time: 10311.6 ms
[2022-01-07 08:29:56 main:574] : INFO : Epoch 1664 | loss: 0.0311165 | val_loss: 0.0311512 | Time: 9644.65 ms
[2022-01-07 08:30:05 main:574] : INFO : Epoch 1665 | loss: 0.0311161 | val_loss: 0.0311607 | Time: 9294.94 ms
[2022-01-07 08:30:14 main:574] : INFO : Epoch 1666 | loss: 0.0311157 | val_loss: 0.0311572 | Time: 9543.6 ms
[2022-01-07 08:30:24 main:574] : INFO : Epoch 1667 | loss: 0.0311156 | val_loss: 0.0311516 | Time: 9445.42 ms
[2022-01-07 08:30:34 main:574] : INFO : Epoch 1668 | loss: 0.0311174 | val_loss: 0.0311558 | Time: 9649.53 ms
[2022-01-07 08:30:43 main:574] : INFO : Epoch 1669 | loss: 0.0311174 | val_loss: 0.0311578 | Time: 9541.76 ms
[2022-01-07 08:30:53 main:574] : INFO : Epoch 1670 | loss: 0.0311176 | val_loss: 0.0311527 | Time: 9975.2 ms
[2022-01-07 08:31:03 main:574] : INFO : Epoch 1671 | loss: 0.0311162 | val_loss: 0.0311638 | Time: 9871.79 ms
[2022-01-07 08:31:13 main:574] : INFO : Epoch 1672 | loss: 0.031116 | val_loss: 0.0311629 | Time: 10076 ms
[2022-01-07 08:31:23 main:574] : INFO : Epoch 1673 | loss: 0.0311151 | val_loss: 0.0311589 | Time: 9721.73 ms
[2022-01-07 08:31:32 main:574] : INFO : Epoch 1674 | loss: 0.0311169 | val_loss: 0.0311616 | Time: 9710.09 ms
[2022-01-07 08:31:43 main:574] : INFO : Epoch 1675 | loss: 0.0311286 | val_loss: 0.0311582 | Time: 10245.1 ms
[2022-01-07 08:31:53 main:574] : INFO : Epoch 1676 | loss: 0.0311286 | val_loss: 0.031156 | Time: 10284.1 ms
[2022-01-07 08:32:04 main:574] : INFO : Epoch 1677 | loss: 0.0311263 | val_loss: 0.0311636 | Time: 11406 ms
[2022-01-07 08:32:15 main:574] : INFO : Epoch 1678 | loss: 0.0311293 | val_loss: 0.0311559 | Time: 10576.4 ms
[2022-01-07 08:32:25 main:574] : INFO : Epoch 1679 | loss: 0.0311241 | val_loss: 0.0311573 | Time: 9969.7 ms
[2022-01-07 08:32:35 main:574] : INFO : Epoch 1680 | loss: 0.0311274 | val_loss: 0.0311496 | Time: 9898.88 ms
[2022-01-07 08:32:45 main:574] : INFO : Epoch 1681 | loss: 0.0311248 | val_loss: 0.0311488 | Time: 10392.6 ms
[2022-01-07 08:32:55 main:574] : INFO : Epoch 1682 | loss: 0.0311213 | val_loss: 0.0311505 | Time: 9965.32 ms
[2022-01-07 08:33:06 main:574] : INFO : Epoch 1683 | loss: 0.0311205 | val_loss: 0.0311472 | Time: 10260.1 ms
[2022-01-07 08:33:17 main:574] : INFO : Epoch 1684 | loss: 0.0311219 | val_loss: 0.0311539 | Time: 11017.5 ms
[2022-01-07 08:33:28 main:574] : INFO : Epoch 1685 | loss: 0.0311257 | val_loss: 0.0311561 | Time: 10981.7 ms
[2022-01-07 08:33:38 main:574] : INFO : Epoch 1686 | loss: 0.0311269 | val_loss: 0.0311583 | Time: 10547.9 ms
[2022-01-07 08:33:49 main:574] : INFO : Epoch 1687 | loss: 0.0311263 | val_loss: 0.0311592 | Time: 10544.1 ms
[2022-01-07 08:33:59 main:574] : INFO : Epoch 1688 | loss: 0.0311365 | val_loss: 0.0311572 | Time: 10680.7 ms
[2022-01-07 08:34:10 main:574] : INFO : Epoch 1689 | loss: 0.0311393 | val_loss: 0.0311517 | Time: 10650.4 ms
[2022-01-07 08:34:21 main:574] : INFO : Epoch 1690 | loss: 0.0311333 | val_loss: 0.0311507 | Time: 10920.1 ms
[2022-01-07 08:34:32 main:574] : INFO : Epoch 1691 | loss: 0.0311287 | val_loss: 0.0311517 | Time: 10899.8 ms
[2022-01-07 08:34:43 main:574] : INFO : Epoch 1692 | loss: 0.0311271 | val_loss: 0.0311511 | Time: 11201.6 ms
[2022-01-07 08:34:54 main:574] : INFO : Epoch 1693 | loss: 0.0311253 | val_loss: 0.0311495 | Time: 11173.9 ms
[2022-01-07 08:35:05 main:574] : INFO : Epoch 1694 | loss: 0.0311252 | val_loss: 0.031155 | Time: 11179.9 ms
[2022-01-07 08:35:17 main:574] : INFO : Epoch 1695 | loss: 0.031126 | val_loss: 0.0311575 | Time: 11330.8 ms
[2022-01-07 08:35:28 main:574] : INFO : Epoch 1696 | loss: 0.0311267 | val_loss: 0.0311513 | Time: 11667.8 ms
[2022-01-07 08:35:40 main:574] : INFO : Epoch 1697 | loss: 0.0311237 | val_loss: 0.0311481 | Time: 11608.8 ms
[2022-01-07 08:35:51 main:574] : INFO : Epoch 1698 | loss: 0.0311208 | val_loss: 0.0311457 | Time: 11349.9 ms
[2022-01-07 08:36:02 main:574] : INFO : Epoch 1699 | loss: 0.031121 | val_loss: 0.0311488 | Time: 11032.7 ms
[2022-01-07 08:36:14 main:574] : INFO : Epoch 1700 | loss: 0.0311193 | val_loss: 0.0311501 | Time: 11788.5 ms
[2022-01-07 08:36:26 main:574] : INFO : Epoch 1701 | loss: 0.031118 | val_loss: 0.0311465 | Time: 12208.8 ms
[2022-01-07 08:36:38 main:574] : INFO : Epoch 1702 | loss: 0.0311183 | val_loss: 0.031154 | Time: 11912.5 ms
[2022-01-07 08:36:50 main:574] : INFO : Epoch 1703 | loss: 0.0311213 | val_loss: 0.031148 | Time: 11726 ms
[2022-01-07 08:37:02 main:574] : INFO : Epoch 1704 | loss: 0.0311203 | val_loss: 0.0311488 | Time: 11802.7 ms
[2022-01-07 08:37:15 main:574] : INFO : Epoch 1705 | loss: 0.0311179 | val_loss: 0.0311561 | Time: 12946.4 ms
[2022-01-07 08:37:28 main:574] : INFO : Epoch 1706 | loss: 0.0311286 | val_loss: 0.0311623 | Time: 12991.7 ms
[2022-01-07 08:37:41 main:574] : INFO : Epoch 1707 | loss: 0.031137 | val_loss: 0.0311549 | Time: 13332.2 ms
[2022-01-07 08:37:53 main:574] : INFO : Epoch 1708 | loss: 0.031133 | val_loss: 0.0311505 | Time: 12199.8 ms
[2022-01-07 08:38:06 main:574] : INFO : Epoch 1709 | loss: 0.031132 | val_loss: 0.031162 | Time: 12606.2 ms
[2022-01-07 08:38:19 main:574] : INFO : Epoch 1710 | loss: 0.0311313 | val_loss: 0.0311542 | Time: 13015.8 ms
[2022-01-07 08:38:32 main:574] : INFO : Epoch 1711 | loss: 0.0311305 | val_loss: 0.0311558 | Time: 12499.3 ms
[2022-01-07 08:38:45 main:574] : INFO : Epoch 1712 | loss: 0.0311317 | val_loss: 0.0311507 | Time: 13035.9 ms
[2022-01-07 08:38:57 main:574] : INFO : Epoch 1713 | loss: 0.0311273 | val_loss: 0.0311473 | Time: 12048.6 ms
[2022-01-07 08:39:11 main:574] : INFO : Epoch 1714 | loss: 0.0311265 | val_loss: 0.0311608 | Time: 13863.1 ms
[2022-01-07 08:39:24 main:574] : INFO : Epoch 1715 | loss: 0.0311349 | val_loss: 0.0311604 | Time: 13829.8 ms
[2022-01-07 08:39:38 main:574] : INFO : Epoch 1716 | loss: 0.0311432 | val_loss: 0.0311587 | Time: 13845.5 ms
[2022-01-07 08:39:52 main:574] : INFO : Epoch 1717 | loss: 0.0311411 | val_loss: 0.0311543 | Time: 13850 ms
[2022-01-07 08:40:06 main:574] : INFO : Epoch 1718 | loss: 0.0311412 | val_loss: 0.0311557 | Time: 13902.3 ms
[2022-01-07 08:40:20 main:574] : INFO : Epoch 1719 | loss: 0.0311384 | val_loss: 0.0311524 | Time: 13790 ms
[2022-01-07 08:40:33 main:574] : INFO : Epoch 1720 | loss: 0.0311347 | val_loss: 0.0311498 | Time: 13581.8 ms
[2022-01-07 08:40:48 main:574] : INFO : Epoch 1721 | loss: 0.0311344 | val_loss: 0.0311537 | Time: 14262.6 ms
Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: GeForce MX250)
[2022-01-07 10:03:19 main:435] : INFO : Set logging level to 1
[2022-01-07 10:03:19 main:441] : INFO : Running in BOINC Client mode
[2022-01-07 10:03:19 main:444] : INFO : Resolving all filenames
[2022-01-07 10:03:19 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 (exists = 1)
[2022-01-07 10:03:19 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1634615652-18363-1_0_r907305986_1 (exists = 1)
[2022-01-07 10:03:19 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1634615652-18363-1_0_r907305986_0 (exists = 0)
[2022-01-07 10:03:19 main:452] : INFO : Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1634615652-18363-1 (exists = 1)
[2022-01-07 10:03:19 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1)
[2022-01-07 10:03:19 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5
[2022-01-07 10:03:19 main:474] : INFO : Configuration:
[2022-01-07 10:03:19 main:475] : INFO : Model type: GRU
[2022-01-07 10:03:19 main:476] : INFO : Validation Loss Threshold: 0.0001
[2022-01-07 10:03:19 main:477] : INFO : Max Epochs: 2048
[2022-01-07 10:03:19 main:478] : INFO : Batch Size: 128
[2022-01-07 10:03:19 main:479] : INFO : Learning Rate: 0.01
[2022-01-07 10:03:19 main:480] : INFO : Patience: 10
[2022-01-07 10:03:19 main:481] : INFO : Hidden Width: 12
[2022-01-07 10:03:19 main:482] : INFO : # Recurrent Layers: 4
[2022-01-07 10:03:19 main:483] : INFO : # Backend Layers: 4
[2022-01-07 10:03:19 main:484] : INFO : # Threads: 1
[2022-01-07 10:03:19 main:486] : INFO : Preparing Dataset
[2022-01-07 10:03:19 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory
[2022-01-07 10:03:19 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory
Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: GeForce MX250)
[2022-01-07 10:37:36 main:435] : INFO : Set logging level to 1
[2022-01-07 10:37:36 main:441] : INFO : Running in BOINC Client mode
[2022-01-07 10:37:36 main:444] : INFO : Resolving all filenames
[2022-01-07 10:37:36 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 (exists = 1)
[2022-01-07 10:37:36 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1634615652-18363-1_0_r907305986_1 (exists = 1)
[2022-01-07 10:37:36 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1634615652-18363-1_0_r907305986_0 (exists = 0)
[2022-01-07 10:37:36 main:452] : INFO : Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/ParityModified-1634615652-18363-1 (exists = 1)
[2022-01-07 10:37:36 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1)
[2022-01-07 10:37:36 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5
[2022-01-07 10:37:36 main:474] : INFO : Configuration:
[2022-01-07 10:37:36 main:475] : INFO : Model type: GRU
[2022-01-07 10:37:36 main:476] : INFO : Validation Loss Threshold: 0.0001
[2022-01-07 10:37:36 main:477] : INFO : Max Epochs: 2048
[2022-01-07 10:37:36 main:478] : INFO : Batch Size: 128
[2022-01-07 10:37:36 main:479] : INFO : Learning Rate: 0.01
[2022-01-07 10:37:36 main:480] : INFO : Patience: 10
[2022-01-07 10:37:36 main:481] : INFO : Hidden Width: 12
[2022-01-07 10:37:36 main:482] : INFO : # Recurrent Layers: 4
[2022-01-07 10:37:36 main:483] : INFO : # Backend Layers: 4
[2022-01-07 10:37:36 main:484] : INFO : # Threads: 1
[2022-01-07 10:37:36 main:486] : INFO : Preparing Dataset
[2022-01-07 10:37:36 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory
[2022-01-07 10:37:36 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory
[2022-01-07 10:37:38 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory.
[2022-01-07 10:37:38 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory
[2022-01-07 10:37:38 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/ParityModified-train-val-dataset.hdf5 into memory
[2022-01-07 10:37:38 load:106] : INFO : Successfully loaded dataset of 512 examples into memory.
[2022-01-07 10:37:38 main:494] : INFO : Creating Model
[2022-01-07 10:37:38 main:507] : INFO : Preparing config file
[2022-01-07 10:37:38 main:511] : INFO : Found checkpoint, attempting to load...
[2022-01-07 10:37:38 main:512] : INFO : Loading config
[2022-01-07 10:37:38 main:514] : INFO : Loading state
[2022-01-07 10:37:38 main:559] : INFO : Loading DataLoader into Memory
[2022-01-07 10:37:38 main:562] : INFO : Starting Training
[2022-01-07 10:37:43 main:574] : INFO : Epoch 1721 | loss: 0.031171 | val_loss: 0.0311516 | Time: 4399.74 ms
[2022-01-07 10:37:48 main:574] : INFO : Epoch 1722 | loss: 0.0311368 | val_loss: 0.0311534 | Time: 5067.8 ms
[2022-01-07 10:37:56 main:574] : INFO : Epoch 1723 | loss: 0.031129 | val_loss: 0.0311475 | Time: 7995.81 ms
[2022-01-07 10:38:06 main:574] : INFO : Epoch 1724 | loss: 0.0311267 | val_loss: 0.0311507 | Time: 10201.9 ms
[2022-01-07 10:38:15 main:574] : INFO : Epoch 1725 | loss: 0.0311233 | val_loss: 0.0311483 | Time: 9299.34 ms
[2022-01-07 10:38:25 main:574] : INFO : Epoch 1726 | loss: 0.0311232 | val_loss: 0.0311487 | Time: 9456.05 ms
[2022-01-07 10:38:34 main:574] : INFO : Epoch 1727 | loss: 0.0311297 | val_loss: 0.0311524 | Time: 9316.73 ms
[2022-01-07 10:38:44 main:574] : INFO : Epoch 1728 | loss: 0.0311318 | val_loss: 0.0311495 | Time: 9483.28 ms
[2022-01-07 10:38:53 main:574] : INFO : Epoch 1729 | loss: 0.0311271 | val_loss: 0.031146 | Time: 9650.64 ms
[2022-01-07 10:39:05 main:574] : INFO : Epoch 1730 | loss: 0.0311238 | val_loss: 0.0311461 | Time: 11282.5 ms
[2022-01-07 10:39:21 main:574] : INFO : Epoch 1731 | loss: 0.031121 | val_loss: 0.0311465 | Time: 16848.3 ms
[2022-01-07 10:39:31 main:574] : INFO : Epoch 1732 | loss: 0.0311198 | val_loss: 0.0311451 | Time: 9570.48 ms
[2022-01-07 10:39:41 main:574] : INFO : Epoch 1733 | loss: 0.0311224 | val_loss: 0.0311427 | Time: 9765.96 ms
[2022-01-07 10:39:50 main:574] : INFO : Epoch 1734 | loss: 0.0311287 | val_loss: 0.0311428 | Time: 9198.06 ms
[2022-01-07 10:39:59 main:574] : INFO : Epoch 1735 | loss: 0.031127 | val_loss: 0.0311439 | Time: 9142.43 ms
[2022-01-07 10:40:09 main:574] : INFO : Epoch 1736 | loss: 0.0311269 | val_loss: 0.0311451 | Time: 9892.11 ms
[2022-01-07 10:40:18 main:574] : INFO : Epoch 1737 | loss: 0.0311249 | val_loss: 0.0311445 | Time: 9417.73 ms
[2022-01-07 10:40:28 main:574] : INFO : Epoch 1738 | loss: 0.0311234 | val_loss: 0.0311443 | Time: 9423.58 ms
[2022-01-07 10:40:37 main:574] : INFO : Epoch 1739 | loss: 0.031122 | val_loss: 0.0311455 | Time: 9177.72 ms
[2022-01-07 10:40:46 main:574] : INFO : Epoch 1740 | loss: 0.0311212 | val_loss: 0.0311507 | Time: 9334.62 ms
[2022-01-07 10:40:56 main:574] : INFO : Epoch 1741 | loss: 0.0311213 | val_loss: 0.0311458 | Time: 9427.68 ms
[2022-01-07 10:41:06 main:574] : INFO : Epoch 1742 | loss: 0.0311196 | val_loss: 0.0311525 | Time: 10098.1 ms
[2022-01-07 10:41:15 main:574] : INFO : Epoch 1743 | loss: 0.0311199 | val_loss: 0.0311474 | Time: 9379.74 ms
[2022-01-07 10:41:25 main:574] : INFO : Epoch 1744 | loss: 0.031117 | val_loss: 0.031146 | Time: 9481.32 ms
[2022-01-07 10:41:35 main:574] : INFO : Epoch 1745 | loss: 0.0311177 | val_loss: 0.0311471 | Time: 9833.17 ms
[2022-01-07 10:41:44 main:574] : INFO : Epoch 1746 | loss: 0.0311151 | val_loss: 0.0311444 | Time: 9126.65 ms
[2022-01-07 10:41:53 main:574] : INFO : Epoch 1747 | loss: 0.0311169 | val_loss: 0.0311422 | Time: 9185.36 ms
[2022-01-07 10:42:03 main:574] : INFO : Epoch 1748 | loss: 0.0311166 | val_loss: 0.0311475 | Time: 9936.36 ms
[2022-01-07 10:42:13 main:574] : INFO : Epoch 1749 | loss: 0.0311156 | val_loss: 0.0311441 | Time: 9685.81 ms
[2022-01-07 10:42:22 main:574] : INFO : Epoch 1750 | loss: 0.0311185 | val_loss: 0.0311518 | Time: 9640.32 ms
[2022-01-07 10:42:32 main:574] : INFO : Epoch 1751 | loss: 0.0311245 | val_loss: 0.0311515 | Time: 9269.59 ms
[2022-01-07 10:42:42 main:574] : INFO : Epoch 1752 | loss: 0.0311267 | val_loss: 0.0311503 | Time: 10795.5 ms
[2022-01-07 10:42:52 main:574] : INFO : Epoch 1753 | loss: 0.0311207 | val_loss: 0.031144 | Time: 9385.77 ms
[2022-01-07 10:43:01 main:574] : INFO : Epoch 1754 | loss: 0.0311227 | val_loss: 0.0311471 | Time: 9452.13 ms
[2022-01-07 10:43:11 main:574] : INFO : Epoch 1755 | loss: 0.0311233 | val_loss: 0.0311457 | Time: 9525.94 ms
[2022-01-07 10:43:20 main:574] : INFO : Epoch 1756 | loss: 0.0311257 | val_loss: 0.0311457 | Time: 9603.73 ms
[2022-01-07 10:43:30 main:574] : INFO : Epoch 1757 | loss: 0.0311255 | val_loss: 0.0311455 | Time: 9521.82 ms
[2022-01-07 10:43:40 main:574] : INFO : Epoch 1758 | loss: 0.031123 | val_loss: 0.0311474 | Time: 10236.7 ms
[2022-01-07 10:43:50 main:574] : INFO : Epoch 1759 | loss: 0.0311205 | val_loss: 0.0311534 | Time: 9510.66 ms
[2022-01-07 10:44:00 main:574] : INFO : Epoch 1760 | loss: 0.0311255 | val_loss: 0.0311469 | Time: 10602.7 ms
[2022-01-07 10:44:10 main:574] : INFO : Epoch 1761 | loss: 0.0311241 | val_loss: 0.0311432 | Time: 9545.51 ms
[2022-01-07 10:44:20 main:574] : INFO : Epoch 1762 | loss: 0.0311206 | val_loss: 0.0311509 | Time: 10393.2 ms
[2022-01-07 10:44:30 main:574] : INFO : Epoch 1763 | loss: 0.0311202 | val_loss: 0.03115 | Time: 9947.86 ms
[2022-01-07 10:44:40 main:574] : INFO : Epoch 1764 | loss: 0.0311202 | val_loss: 0.0311497 | Time: 9733.77 ms
[2022-01-07 10:44:50 main:574] : INFO : Epoch 1765 | loss: 0.0311254 | val_loss: 0.0311527 | Time: 9967.06 ms
[2022-01-07 10:45:00 main:574] : INFO : Epoch 1766 | loss: 0.031125 | val_loss: 0.0311527 | Time: 10038 ms
[2022-01-07 10:45:10 main:574] : INFO : Epoch 1767 | loss: 0.0311218 | val_loss: 0.0311456 | Time: 9809.28 ms
[2022-01-07 10:45:20 main:574] : INFO : Epoch 1768 | loss: 0.0311201 | val_loss: 0.0311418 | Time: 9866.65 ms
[2022-01-07 10:45:30 main:574] : INFO : Epoch 1769 | loss: 0.0311196 | val_loss: 0.0311453 | Time: 10142.7 ms
[2022-01-07 10:45:40 main:574] : INFO : Epoch 1770 | loss: 0.0311195 | val_loss: 0.0311474 | Time: 10135.7 ms
[2022-01-07 10:45:50 main:574] : INFO : Epoch 1771 | loss: 0.0311166 | val_loss: 0.0311476 | Time: 10247.2 ms
[2022-01-07 10:46:00 main:574] : INFO : Epoch 1772 | loss: 0.0311131 | val_loss: 0.031151 | Time: 9914.49 ms
[2022-01-07 10:46:10 main:574] : INFO : Epoch 1773 | loss: 0.0311141 | val_loss: 0.0311469 | Time: 10291.2 ms
[2022-01-07 10:46:20 main:574] : INFO : Epoch 1774 | loss: 0.0311147 | val_loss: 0.0311482 | Time: 9416.01 ms
[2022-01-07 10:46:28 main:574] : INFO : Epoch 1775 | loss: 0.0311139 | val_loss: 0.0311478 | Time: 8195.57 ms
[2022-01-07 10:46:37 main:574] : INFO : Epoch 1776 | loss: 0.0311163 | val_loss: 0.0311518 | Time: 9212.83 ms
[2022-01-07 10:46:46 main:574] : INFO : Epoch 1777 | loss: 0.0311221 | val_loss: 0.0311481 | Time: 8951.6 ms
[2022-01-07 10:46:56 main:574] : INFO : Epoch 1778 | loss: 0.0311257 | val_loss: 0.0311441 | Time: 9411.38 ms
[2022-01-07 10:47:05 main:574] : INFO : Epoch 1779 | loss: 0.0311228 | val_loss: 0.0311534 | Time: 9196.81 ms
[2022-01-07 10:47:14 main:574] : INFO : Epoch 1780 | loss: 0.0311186 | val_loss: 0.0311464 | Time: 9421.43 ms
[2022-01-07 10:47:23 main:574] : INFO : Epoch 1781 | loss: 0.0311161 | val_loss: 0.0311439 | Time: 8666.45 ms
[2022-01-07 10:47:32 main:574] : INFO : Epoch 1782 | loss: 0.0311152 | val_loss: 0.0311473 | Time: 8738.01 ms
[2022-01-07 10:47:41 main:574] : INFO : Epoch 1783 | loss: 0.0311184 | val_loss: 0.0311486 | Time: 8855.95 ms
[2022-01-07 10:47:50 main:574] : INFO : Epoch 1784 | loss: 0.0311167 | val_loss: 0.031147 | Time: 9361.55 ms
[2022-01-07 10:47:59 main:574] : INFO : Epoch 1785 | loss: 0.0311153 | val_loss: 0.0311482 | Time: 9334.36 ms
[2022-01-07 10:48:08 main:574] : INFO : Epoch 1786 | loss: 0.0311159 | val_loss: 0.0311441 | Time: 9085.7 ms
[2022-01-07 10:48:17 main:574] : INFO : Epoch 1787 | loss: 0.0311209 | val_loss: 0.0311473 | Time: 8615.4 ms
[2022-01-07 10:48:26 main:574] : INFO : Epoch 1788 | loss: 0.0311236 | val_loss: 0.0311463 | Time: 8967.9 ms
[2022-01-07 10:48:34 main:574] : INFO : Epoch 1789 | loss: 0.031123 | val_loss: 0.0311471 | Time: 8079.5 ms
[2022-01-07 10:48:42 main:574] : INFO : Epoch 1790 | loss: 0.0311234 | val_loss: 0.0311475 | Time: 7673.53 ms
[2022-01-07 10:48:50 main:574] : INFO : Epoch 1791 | loss: 0.0311205 | val_loss: 0.031146 | Time: 7848.04 ms
[2022-01-07 10:48:57 main:574] : INFO : Epoch 1792 | loss: 0.0311179 | val_loss: 0.0311522 | Time: 7682.04 ms
[2022-01-07 10:49:05 main:574] : INFO : Epoch 1793 | loss: 0.0311179 | val_loss: 0.0311459 | Time: 7815.88 ms
[2022-01-07 10:49:13 main:574] : INFO : Epoch 1794 | loss: 0.0311182 | val_loss: 0.031144 | Time: 8203.17 ms
[2022-01-07 10:49:21 main:574] : INFO : Epoch 1795 | loss: 0.0311243 | val_loss: 0.031169 | Time: 7698.76 ms
[2022-01-07 10:49:29 main:574] : INFO : Epoch 1796 | loss: 0.031145 | val_loss: 0.031164 | Time: 7886.19 ms
[2022-01-07 10:49:37 main:574] : INFO : Epoch 1797 | loss: 0.0311348 | val_loss: 0.0311563 | Time: 7945.97 ms
[2022-01-07 10:49:45 main:574] : INFO : Epoch 1798 | loss: 0.0311305 | val_loss: 0.0311529 | Time: 7955.15 ms
[2022-01-07 10:49:53 main:574] : INFO : Epoch 1799 | loss: 0.0311286 | val_loss: 0.0311526 | Time: 7941.22 ms
[2022-01-07 10:50:01 main:574] : INFO : Epoch 1800 | loss: 0.0311223 | val_loss: 0.0311529 | Time: 7978.16 ms
[2022-01-07 10:50:09 main:574] : INFO : Epoch 1801 | loss: 0.0311219 | val_loss: 0.0311529 | Time: 8367.82 ms
[2022-01-07 10:50:17 main:574] : INFO : Epoch 1802 | loss: 0.0311223 | val_loss: 0.0311499 | Time: 8405.35 ms
[2022-01-07 10:50:26 main:574] : INFO : Epoch 1803 | loss: 0.0311251 | val_loss: 0.0311455 | Time: 8026.7 ms
[2022-01-07 10:50:34 main:574] : INFO : Epoch 1804 | loss: 0.0311238 | val_loss: 0.0311526 | Time: 8013.09 ms
[2022-01-07 10:50:42 main:574] : INFO : Epoch 1805 | loss: 0.0311203 | val_loss: 0.0311484 | Time: 8360.98 ms
[2022-01-07 10:50:50 main:574] : INFO : Epoch 1806 | loss: 0.0311183 | val_loss: 0.0311485 | Time: 8593.23 ms
[2022-01-07 10:50:59 main:574] : INFO : Epoch 1807 | loss: 0.0311188 | val_loss: 0.0311502 | Time: 8103.47 ms
[2022-01-07 10:51:07 main:574] : INFO : Epoch 1808 | loss: 0.0311208 | val_loss: 0.0311454 | Time: 7977.41 ms
[2022-01-07 10:51:15 main:574] : INFO : Epoch 1809 | loss: 0.0311177 | val_loss: 0.0311437 | Time: 8101.41 ms
[2022-01-07 10:51:23 main:574] : INFO : Epoch 1810 | loss: 0.0311193 | val_loss: 0.0311512 | Time: 8235.35 ms
[2022-01-07 10:51:31 main:574] : INFO : Epoch 1811 | loss: 0.0311209 | val_loss: 0.0311468 | Time: 8054.29 ms
[2022-01-07 10:51:39 main:574] : INFO : Epoch 1812 | loss: 0.0311327 | val_loss: 0.0311554 | Time: 7825.22 ms
[2022-01-07 10:51:47 main:574] : INFO : Epoch 1813 | loss: 0.0311408 | val_loss: 0.0311477 | Time: 7966.71 ms
[2022-01-07 10:51:54 main:574] : INFO : Epoch 1814 | loss: 0.0311343 | val_loss: 0.0311457 | Time: 7669.41 ms
[2022-01-07 10:52:03 main:574] : INFO : Epoch 1815 | loss: 0.0311325 | val_loss: 0.031153 | Time: 8496.69 ms
[2022-01-07 10:52:12 main:574] : INFO : Epoch 1816 | loss: 0.0311324 | val_loss: 0.0311478 | Time: 8555.91 ms
[2022-01-07 10:52:20 main:574] : INFO : Epoch 1817 | loss: 0.0311291 | val_loss: 0.0311452 | Time: 8275.03 ms
[2022-01-07 10:52:28 main:574] : INFO : Epoch 1818 | loss: 0.0311281 | val_loss: 0.0311446 | Time: 7711.07 ms
[2022-01-07 10:52:35 main:574] : INFO : Epoch 1819 | loss: 0.031126 | val_loss: 0.0311452 | Time: 7710.84 ms
[2022-01-07 10:52:43 main:574] : INFO : Epoch 1820 | loss: 0.0311228 | val_loss: 0.0311453 | Time: 7446.47 ms
[2022-01-07 10:52:50 main:574] : INFO : Epoch 1821 | loss: 0.0311221 | val_loss: 0.0311434 | Time: 7440.88 ms
[2022-01-07 10:52:58 main:574] : INFO : Epoch 1822 | loss: 0.0311207 | val_loss: 0.0311432 | Time: 7519.65 ms
[2022-01-07 10:53:06 main:574] : INFO : Epoch 1823 | loss: 0.0311207 | val_loss: 0.0311424 | Time: 7884.82 ms
[2022-01-07 10:53:14 main:574] : INFO : Epoch 1824 | loss: 0.0311195 | val_loss: 0.0311466 | Time: 8575.56 ms
[2022-01-07 10:53:22 main:574] : INFO : Epoch 1825 | loss: 0.0311198 | val_loss: 0.0311453 | Time: 7801.09 ms
[2022-01-07 10:53:30 main:574] : INFO : Epoch 1826 | loss: 0.0311173 | val_loss: 0.0311457 | Time: 8307.91 ms
[2022-01-07 10:53:39 main:574] : INFO : Epoch 1827 | loss: 0.0311338 | val_loss: 0.0311678 | Time: 8481.54 ms
[2022-01-07 10:53:47 main:574] : INFO : Epoch 1828 | loss: 0.031147 | val_loss: 0.0311632 | Time: 8270.92 ms
[2022-01-07 10:53:55 main:574] : INFO : Epoch 1829 | loss: 0.0311389 | val_loss: 0.0311566 | Time: 8037.83 ms
[2022-01-07 10:54:03 main:574] : INFO : Epoch 1830 | loss: 0.0311384 | val_loss: 0.0311608 | Time: 8179.81 ms
[2022-01-07 10:54:11 main:574] : INFO : Epoch 1831 | loss: 0.0311344 | val_loss: 0.0311577 | Time: 7274.42 ms
[2022-01-07 10:54:18 main:574] : INFO : Epoch 1832 | loss: 0.0311297 | val_loss: 0.0311595 | Time: 7821.69 ms
[2022-01-07 10:54:27 main:574] : INFO : Epoch 1833 | loss: 0.0311284 | val_loss: 0.0311551 | Time: 8534.05 ms
[2022-01-07 10:54:35 main:574] : INFO : Epoch 1834 | loss: 0.0311294 | val_loss: 0.0311534 | Time: 7875.81 ms
[2022-01-07 10:54:43 main:574] : INFO : Epoch 1835 | loss: 0.0311297 | val_loss: 0.0311509 | Time: 8530.58 ms
[2022-01-07 10:54:52 main:574] : INFO : Epoch 1836 | loss: 0.0311263 | val_loss: 0.0311506 | Time: 8332.56 ms
[2022-01-07 10:55:00 main:574] : INFO : Epoch 1837 | loss: 0.0311243 | val_loss: 0.0311517 | Time: 8528.73 ms
[2022-01-07 10:55:09 main:574] : INFO : Epoch 1838 | loss: 0.0311267 | val_loss: 0.0311482 | Time: 8460.97 ms
[2022-01-07 10:55:17 main:574] : INFO : Epoch 1839 | loss: 0.0311257 | val_loss: 0.0311446 | Time: 7904.87 ms
[2022-01-07 10:55:25 main:574] : INFO : Epoch 1840 | loss: 0.031122 | val_loss: 0.0311535 | Time: 8023.96 ms
[2022-01-07 10:55:32 main:574] : INFO : Epoch 1841 | loss: 0.0311221 | val_loss: 0.0311441 | Time: 7829.22 ms
[2022-01-07 10:55:40 main:574] : INFO : Epoch 1842 | loss: 0.0311213 | val_loss: 0.0311518 | Time: 8053.43 ms
[2022-01-07 10:55:49 main:574] : INFO : Epoch 1843 | loss: 0.0311199 | val_loss: 0.0311554 | Time: 8343.85 ms
[2022-01-07 10:55:57 main:574] : INFO : Epoch 1844 | loss: 0.0311257 | val_loss: 0.0311593 | Time: 8055.42 ms
[2022-01-07 10:56:05 main:574] : INFO : Epoch 1845 | loss: 0.0311435 | val_loss: 0.0311534 | Time: 8343.25 ms
[2022-01-07 10:56:13 main:574] : INFO : Epoch 1846 | loss: 0.031141 | val_loss: 0.031155 | Time: 8027.56 ms
[2022-01-07 10:56:21 main:574] : INFO : Epoch 1847 | loss: 0.0311374 | val_loss: 0.0311497 | Time: 7713.16 ms
[2022-01-07 10:56:29 main:574] : INFO : Epoch 1848 | loss: 0.031133 | val_loss: 0.0311526 | Time: 8089.84 ms
[2022-01-07 10:56:37 main:574] : INFO : Epoch 1849 | loss: 0.0311345 | val_loss: 0.031155 | Time: 7650.32 ms
[2022-01-07 10:56:45 main:574] : INFO : Epoch 1850 | loss: 0.0311321 | val_loss: 0.0311438 | Time: 7946.83 ms
[2022-01-07 10:56:52 main:574] : INFO : Epoch 1851 | loss: 0.0311329 | val_loss: 0.0311496 | Time: 7628.74 ms
[2022-01-07 10:57:01 main:574] : INFO : Epoch 1852 | loss: 0.0311391 | val_loss: 0.0311524 | Time: 8268.65 ms
[2022-01-07 10:57:09 main:574] : INFO : Epoch 1853 | loss: 0.0311327 | val_loss: 0.0311459 | Time: 7891.52 ms
[2022-01-07 10:57:16 main:574] : INFO : Epoch 1854 | loss: 0.0311299 | val_loss: 0.0311447 | Time: 7934.45 ms
[2022-01-07 10:57:25 main:574] : INFO : Epoch 1855 | loss: 0.0311389 | val_loss: 0.0311456 | Time: 8147.23 ms
[2022-01-07 10:57:33 main:574] : INFO : Epoch 1856 | loss: 0.0311342 | val_loss: 0.0311489 | Time: 8619.31 ms
[2022-01-07 10:57:40 main:574] : INFO : Epoch 1857 | loss: 0.0311286 | val_loss: 0.031145 | Time: 6925.79 ms
[2022-01-07 10:57:46 main:574] : INFO : Epoch 1858 | loss: 0.0311271 | val_loss: 0.0311435 | Time: 6286.61 ms
[2022-01-07 10:57:52 main:574] : INFO : Epoch 1859 | loss: 0.0311342 | val_loss: 0.0311571 | Time: 6017.9 ms
[2022-01-07 10:58:08 main:574] : INFO : Epoch 1860 | loss: 0.0311426 | val_loss: 0.0311518 | Time: 15255.8 ms
[2022-01-07 10:58:13 main:574] : INFO : Epoch 1861 | loss: 0.0311359 | val_loss: 0.0311435 | Time: 5522.19 ms
[2022-01-07 10:58:21 main:574] : INFO : Epoch 1862 | loss: 0.0311355 | val_loss: 0.0311454 | Time: 8170.87 ms
[2022-01-07 10:58:33 main:574] : INFO : Epoch 1863 | loss: 0.0311397 | val_loss: 0.0311462 | Time: 11962.3 ms
[2022-01-07 10:58:45 main:574] : INFO : Epoch 1864 | loss: 0.0311381 | val_loss: 0.0311418 | Time: 11472.3 ms
[2022-01-07 10:58:57 main:574] : INFO : Epoch 1865 | loss: 0.0311313 | val_loss: 0.031142 | Time: 11642.5 ms
[2022-01-07 10:59:08 main:574] : INFO : Epoch 1866 | loss: 0.0311278 | val_loss: 0.0311404 | Time: 11582.9 ms
[2022-01-07 10:59:20 main:574] : INFO : Epoch 1867 | loss: 0.0311271 | val_loss: 0.031141 | Time: 11593.3 ms
[2022-01-07 10:59:31 main:574] : INFO : Epoch 1868 | loss: 0.0311248 | val_loss: 0.0311402 | Time: 10843.2 ms
[2022-01-07 10:59:42 main:574] : INFO : Epoch 1869 | loss: 0.0311238 | val_loss: 0.0311418 | Time: 11519.3 ms
[2022-01-07 10:59:54 main:574] : INFO : Epoch 1870 | loss: 0.0311228 | val_loss: 0.0311417 | Time: 12187.4 ms
[2022-01-07 11:00:06 main:574] : INFO : Epoch 1871 | loss: 0.0311212 | val_loss: 0.0311452 | Time: 11418.4 ms
[2022-01-07 11:00:18 main:574] : INFO : Epoch 1872 | loss: 0.0311211 | val_loss: 0.0311471 | Time: 11867.3 ms
[2022-01-07 11:00:29 main:574] : INFO : Epoch 1873 | loss: 0.0311225 | val_loss: 0.0311469 | Time: 11149.2 ms
[2022-01-07 11:00:39 main:574] : INFO : Epoch 1874 | loss: 0.0311207 | val_loss: 0.0311433 | Time: 10621.3 ms
[2022-01-07 11:00:50 main:574] : INFO : Epoch 1875 | loss: 0.0311198 | val_loss: 0.0311406 | Time: 10715.6 ms
[2022-01-07 11:01:00 main:574] : INFO : Epoch 1876 | loss: 0.0311203 | val_loss: 0.0311449 | Time: 10377.4 ms
[2022-01-07 11:01:20 main:574] : INFO : Epoch 1877 | loss: 0.0311185 | val_loss: 0.0311465 | Time: 19628.9 ms
[2022-01-07 11:01:31 main:574] : INFO : Epoch 1878 | loss: 0.0311182 | val_loss: 0.0311465 | Time: 11045.5 ms
[2022-01-07 11:01:42 main:574] : INFO : Epoch 1879 | loss: 0.0311186 | val_loss: 0.0311459 | Time: 10476.5 ms
[2022-01-07 11:01:53 main:574] : INFO : Epoch 1880 | loss: 0.0311181 | val_loss: 0.0311441 | Time: 11438.8 ms
[2022-01-07 11:02:04 main:574] : INFO : Epoch 1881 | loss: 0.0311166 | val_loss: 0.031144 | Time: 10825.6 ms
[2022-01-07 11:02:15 main:574] : INFO : Epoch 1882 | loss: 0.0311169 | val_loss: 0.0311496 | Time: 10844.1 ms
[2022-01-07 11:02:25 main:574] : INFO : Epoch 1883 | loss: 0.0311159 | val_loss: 0.0311431 | Time: 10105.5 ms
[2022-01-07 11:02:35 main:574] : INFO : Epoch 1884 | loss: 0.031116 | val_loss: 0.0311461 | Time: 10252.6 ms
[2022-01-07 11:02:45 main:574] : INFO : Epoch 1885 | loss: 0.031117 | val_loss: 0.0311443 | Time: 10216.4 ms
[2022-01-07 11:02:55 main:574] : INFO : Epoch 1886 | loss: 0.0311153 | val_loss: 0.031146 | Time: 10065.2 ms
[2022-01-07 11:03:06 main:574] : INFO : Epoch 1887 | loss: 0.0311208 | val_loss: 0.0311459 | Time: 10676.7 ms
[2022-01-07 11:03:16 main:574] : INFO : Epoch 1888 | loss: 0.0311158 | val_loss: 0.0311473 | Time: 10336.4 ms
[2022-01-07 11:03:27 main:574] : INFO : Epoch 1889 | loss: 0.0311138 | val_loss: 0.0311498 | Time: 10942.7 ms
[2022-01-07 11:03:38 main:574] : INFO : Epoch 1890 | loss: 0.0311144 | val_loss: 0.0311431 | Time: 10462.1 ms
[2022-01-07 11:03:49 main:574] : INFO : Epoch 1891 | loss: 0.0311155 | val_loss: 0.0311471 | Time: 10666 ms
[2022-01-07 11:04:00 main:574] : INFO : Epoch 1892 | loss: 0.0311153 | val_loss: 0.0311486 | Time: 10972.5 ms
[2022-01-07 11:04:11 main:574] : INFO : Epoch 1893 | loss: 0.0311152 | val_loss: 0.0311502 | Time: 11024.3 ms
[2022-01-07 11:04:21 main:574] : INFO : Epoch 1894 | loss: 0.0311136 | val_loss: 0.0311425 | Time: 10362.5 ms
[2022-01-07 11:04:33 main:574] : INFO : Epoch 1895 | loss: 0.0311143 | val_loss: 0.0311521 | Time: 11977.5 ms
[2022-01-07 11:04:52 main:574] : INFO : Epoch 1896 | loss: 0.0311136 | val_loss: 0.0311453 | Time: 19422.6 ms
[2022-01-07 11:05:05 main:574] : INFO : Epoch 1897 | loss: 0.0311132 | val_loss: 0.0311495 | Time: 12235 ms
[2022-01-07 11:05:15 main:574] : INFO : Epoch 1898 | loss: 0.0311123 | val_loss: 0.0311504 | Time: 10604.9 ms
[2022-01-07 11:05:26 main:574] : INFO : Epoch 1899 | loss: 0.0311126 | val_loss: 0.03115 | Time: 10831.1 ms
[2022-01-07 11:05:37 main:574] : INFO : Epoch 1900 | loss: 0.0311165 | val_loss: 0.0311455 | Time: 11351.6 ms
[2022-01-07 11:05:49 main:574] : INFO : Epoch 1901 | loss: 0.0311147 | val_loss: 0.0311466 | Time: 11677.2 ms
[2022-01-07 11:05:56 main:574] : INFO : Epoch 1902 | loss: 0.0311116 | val_loss: 0.0311583 | Time: 6533.71 ms
[2022-01-07 11:06:01 main:574] : INFO : Epoch 1903 | loss: 0.0311132 | val_loss: 0.0311513 | Time: 5165.79 ms
[2022-01-07 11:06:06 main:574] : INFO : Epoch 1904 | loss: 0.0311116 | val_loss: 0.0311519 | Time: 5064.51 ms
[2022-01-07 11:06:11 main:574] : INFO : Epoch 1905 | loss: 0.0311141 | val_loss: 0.0311515 | Time: 5059.31 ms
[2022-01-07 11:06:16 main:574] : INFO : Epoch 1906 | loss: 0.0311122 | val_loss: 0.0311502 | Time: 5192.65 ms
[2022-01-07 11:06:21 main:574] : INFO : Epoch 1907 | loss: 0.0311123 | val_loss: 0.0311412 | Time: 4722.31 ms
[2022-01-07 11:06:26 main:574] : INFO : Epoch 1908 | loss: 0.0311095 | val_loss: 0.031144 | Time: 5098.23 ms
[2022-01-07 11:06:31 main:574] : INFO : Epoch 1909 | loss: 0.03111 | val_loss: 0.0311419 | Time: 5265.08 ms
[2022-01-07 11:06:36 main:574] : INFO : Epoch 1910 | loss: 0.0311108 | val_loss: 0.0311507 | Time: 5216.56 ms
[2022-01-07 11:06:41 main:574] : INFO : Epoch 1911 | loss: 0.031109 | val_loss: 0.0311472 | Time: 4982.21 ms
[2022-01-07 11:06:47 main:574] : INFO : Epoch 1912 | loss: 0.0311099 | val_loss: 0.0311457 | Time: 5164.62 ms
[2022-01-07 11:06:52 main:574] : INFO : Epoch 1913 | loss: 0.0311096 | val_loss: 0.0311437 | Time: 5345.63 ms
[2022-01-07 11:06:58 main:574] : INFO : Epoch 1914 | loss: 0.0311115 | val_loss: 0.0311545 | Time: 5848.94 ms
[2022-01-07 11:07:03 main:574] : INFO : Epoch 1915 | loss: 0.0311175 | val_loss: 0.0311458 | Time: 5272.22 ms
[2022-01-07 11:07:08 main:574] : INFO : Epoch 1916 | loss: 0.0311288 | val_loss: 0.0311533 | Time: 4931.83 ms
[2022-01-07 11:07:13 main:574] : INFO : Epoch 1917 | loss: 0.0311261 | val_loss: 0.0311587 | Time: 5086.11 ms
[2022-01-07 11:07:18 main:574] : INFO : Epoch 1918 | loss: 0.0311221 | val_loss: 0.0311526 | Time: 5313.85 ms
[2022-01-07 11:07:24 main:574] : INFO : Epoch 1919 | loss: 0.0311192 | val_loss: 0.0311546 | Time: 5128.51 ms
[2022-01-07 11:07:29 main:574] : INFO : Epoch 1920 | loss: 0.0311195 | val_loss: 0.0311526 | Time: 5178.88 ms
[2022-01-07 11:07:34 main:574] : INFO : Epoch 1921 | loss: 0.0311168 | val_loss: 0.0311513 | Time: 5262.52 ms
[2022-01-07 11:07:39 main:574] : INFO : Epoch 1922 | loss: 0.0311188 | val_loss: 0.0311493 | Time: 5299.75 ms
[2022-01-07 11:07:45 main:574] : INFO : Epoch 1923 | loss: 0.0311153 | val_loss: 0.0311465 | Time: 5234.75 ms
[2022-01-07 11:07:50 main:574] : INFO : Epoch 1924 | loss: 0.0311128 | val_loss: 0.0311473 | Time: 5488.09 ms
[2022-01-07 11:07:56 main:574] : INFO : Epoch 1925 | loss: 0.0311134 | val_loss: 0.0311454 | Time: 5639.35 ms
[2022-01-07 11:08:01 main:574] : INFO : Epoch 1926 | loss: 0.0311182 | val_loss: 0.0311458 | Time: 5429.38 ms
[2022-01-07 11:08:06 main:574] : INFO : Epoch 1927 | loss: 0.0311182 | val_loss: 0.0311447 | Time: 5290.27 ms
[2022-01-07 11:08:12 main:574] : INFO : Epoch 1928 | loss: 0.0311229 | val_loss: 0.0311524 | Time: 5516.89 ms
[2022-01-07 11:08:17 main:574] : INFO : Epoch 1929 | loss: 0.0311324 | val_loss: 0.0311499 | Time: 5352.21 ms
[2022-01-07 11:08:23 main:574] : INFO : Epoch 1930 | loss: 0.0311279 | val_loss: 0.0311457 | Time: 5205.72 ms
[2022-01-07 11:08:28 main:574] : INFO : Epoch 1931 | loss: 0.0311299 | val_loss: 0.0311476 | Time: 5453.74 ms
[2022-01-07 11:08:34 main:574] : INFO : Epoch 1932 | loss: 0.0311284 | val_loss: 0.0311427 | Time: 5823.52 ms
[2022-01-07 11:08:39 main:574] : INFO : Epoch 1933 | loss: 0.0311241 | val_loss: 0.0311483 | Time: 5336.55 ms
[2022-01-07 11:08:45 main:574] : INFO : Epoch 1934 | loss: 0.031125 | val_loss: 0.0311521 | Time: 5699.94 ms
[2022-01-07 11:08:50 main:574] : INFO : Epoch 1935 | loss: 0.031124 | val_loss: 0.0311409 | Time: 5409.38 ms
[2022-01-07 11:08:56 main:574] : INFO : Epoch 1936 | loss: 0.0311229 | val_loss: 0.0311413 | Time: 6077.39 ms
[2022-01-07 11:09:02 main:574] : INFO : Epoch 1937 | loss: 0.0311196 | val_loss: 0.031143 | Time: 5356.73 ms
[2022-01-07 11:09:07 main:574] : INFO : Epoch 1938 | loss: 0.031119 | val_loss: 0.031145 | Time: 5323.34 ms
[2022-01-07 11:09:12 main:574] : INFO : Epoch 1939 | loss: 0.0311168 | val_loss: 0.0311423 | Time: 5273.76 ms
[2022-01-07 11:09:18 main:574] : INFO : Epoch 1940 | loss: 0.0311192 | val_loss: 0.0311473 | Time: 5735.14 ms
[2022-01-07 11:09:23 main:574] : INFO : Epoch 1941 | loss: 0.0311275 | val_loss: 0.0311491 | Time: 5415.28 ms
[2022-01-07 11:09:29 main:574] : INFO : Epoch 1942 | loss: 0.0311293 | val_loss: 0.0311528 | Time: 5399.2 ms
[2022-01-07 11:09:34 main:574] : INFO : Epoch 1943 | loss: 0.0311267 | val_loss: 0.0311486 | Time: 5490.45 ms
[2022-01-07 11:09:40 main:574] : INFO : Epoch 1944 | loss: 0.0311276 | val_loss: 0.0311482 | Time: 5356.9 ms
[2022-01-07 11:09:46 main:574] : INFO : Epoch 1945 | loss: 0.0311262 | val_loss: 0.0311436 | Time: 6043.81 ms
[2022-01-07 11:09:52 main:574] : INFO : Epoch 1946 | loss: 0.0311238 | val_loss: 0.0311422 | Time: 5814.81 ms
[2022-01-07 11:09:57 main:574] : INFO : Epoch 1947 | loss: 0.0311194 | val_loss: 0.0311512 | Time: 5733.64 ms
[2022-01-07 11:10:03 main:574] : INFO : Epoch 1948 | loss: 0.0311182 | val_loss: 0.0311432 | Time: 5698.53 ms
[2022-01-07 11:10:09 main:574] : INFO : Epoch 1949 | loss: 0.0311163 | val_loss: 0.0311414 | Time: 5593.94 ms
[2022-01-07 11:10:14 main:574] : INFO : Epoch 1950 | loss: 0.0311193 | val_loss: 0.0311461 | Time: 5570.53 ms
[2022-01-07 11:10:20 main:574] : INFO : Epoch 1951 | loss: 0.0311197 | val_loss: 0.0311457 | Time: 5494.52 ms
[2022-01-07 11:10:25 main:574] : INFO : Epoch 1952 | loss: 0.0311178 | val_loss: 0.0311495 | Time: 5751.56 ms
[2022-01-07 11:10:32 main:574] : INFO : Epoch 1953 | loss: 0.0311169 | val_loss: 0.0311424 | Time: 6078.38 ms
[2022-01-07 11:10:37 main:574] : INFO : Epoch 1954 | loss: 0.0311182 | val_loss: 0.0311439 | Time: 5859.97 ms
[2022-01-07 11:10:43 main:574] : INFO : Epoch 1955 | loss: 0.0311221 | val_loss: 0.0311451 | Time: 5676.69 ms
[2022-01-07 11:10:49 main:574] : INFO : Epoch 1956 | loss: 0.0311195 | val_loss: 0.0311463 | Time: 5718.4 ms
[2022-01-07 11:10:55 main:574] : INFO : Epoch 1957 | loss: 0.031125 | val_loss: 0.0311631 | Time: 5746.67 ms
[2022-01-07 11:11:01 main:574] : INFO : Epoch 1958 | loss: 0.0311239 | val_loss: 0.0311566 | Time: 6130.31 ms
[2022-01-07 11:11:07 main:574] : INFO : Epoch 1959 | loss: 0.0311186 | val_loss: 0.0311466 | Time: 5967.84 ms
[2022-01-07 11:11:12 main:574] : INFO : Epoch 1960 | loss: 0.0311151 | val_loss: 0.0311499 | Time: 5760.66 ms
[2022-01-07 11:11:18 main:574] : INFO : Epoch 1961 | loss: 0.0311142 | val_loss: 0.0311479 | Time: 5728 ms
[2022-01-07 11:11:24 main:574] : INFO : Epoch 1962 | loss: 0.0311133 | val_loss: 0.0311454 | Time: 5616.15 ms
[2022-01-07 11:11:30 main:574] : INFO : Epoch 1963 | loss: 0.0311143 | val_loss: 0.0311467 | Time: 5684.23 ms
[2022-01-07 11:11:35 main:574] : INFO : Epoch 1964 | loss: 0.0311172 | val_loss: 0.031147 | Time: 5493.81 ms
[2022-01-07 11:11:41 main:574] : INFO : Epoch 1965 | loss: 0.031116 | val_loss: 0.031149 | Time: 5531.81 ms
[2022-01-07 11:11:47 main:574] : INFO : Epoch 1966 | loss: 0.0311134 | val_loss: 0.0311428 | Time: 6089.44 ms
[2022-01-07 11:11:52 main:574] : INFO : Epoch 1967 | loss: 0.0311133 | val_loss: 0.0311449 | Time: 5340.6 ms
[2022-01-07 11:11:58 main:574] : INFO : Epoch 1968 | loss: 0.0311128 | val_loss: 0.0311488 | Time: 5890.75 ms
[2022-01-07 11:12:03 main:574] : INFO : Epoch 1969 | loss: 0.0311132 | val_loss: 0.0311465 | Time: 5589.55 ms
[2022-01-07 11:12:09 main:574] : INFO : Epoch 1970 | loss: 0.0311115 | val_loss: 0.0311383 | Time: 5541.95 ms
[2022-01-07 11:12:15 main:574] : INFO : Epoch 1971 | loss: 0.0311099 | val_loss: 0.0311418 | Time: 5534.69 ms
[2022-01-07 11:12:20 main:574] : INFO : Epoch 1972 | loss: 0.0311076 | val_loss: 0.0311409 | Time: 5537.28 ms
[2022-01-07 11:12:26 main:574] : INFO : Epoch 1973 | loss: 0.0311099 | val_loss: 0.031145 | Time: 5565.09 ms
[2022-01-07 11:12:32 main:574] : INFO : Epoch 1974 | loss: 0.0311076 | val_loss: 0.0311445 | Time: 6180.15 ms
[2022-01-07 11:12:37 main:574] : INFO : Epoch 1975 | loss: 0.0311074 | val_loss: 0.0311409 | Time: 5404.9 ms
[2022-01-07 11:12:43 main:574] : INFO : Epoch 1976 | loss: 0.0311059 | val_loss: 0.0311425 | Time: 5304.66 ms
[2022-01-07 11:12:48 main:574] : INFO : Epoch 1977 | loss: 0.0311062 | val_loss: 0.0311461 | Time: 5606.21 ms
[2022-01-07 11:12:54 main:574] : INFO : Epoch 1978 | loss: 0.0311047 | val_loss: 0.0311472 | Time: 5344.15 ms
[2022-01-07 11:12:59 main:574] : INFO : Epoch 1979 | loss: 0.0311076 | val_loss: 0.0311463 | Time: 5542.45 ms
[2022-01-07 11:13:05 main:574] : INFO : Epoch 1980 | loss: 0.0311082 | val_loss: 0.0311449 | Time: 5452.68 ms
[2022-01-07 11:13:10 main:574] : INFO : Epoch 1981 | loss: 0.0311092 | val_loss: 0.0311466 | Time: 5373.07 ms
[2022-01-07 11:13:15 main:574] : INFO : Epoch 1982 | loss: 0.0311092 | val_loss: 0.0311481 | Time: 5393.18 ms
[2022-01-07 11:13:21 main:574] : INFO : Epoch 1983 | loss: 0.0311076 | val_loss: 0.0311449 | Time: 5262.35 ms
[2022-01-07 11:13:26 main:574] : INFO : Epoch 1984 | loss: 0.031105 | val_loss: 0.0311452 | Time: 5184.15 ms
[2022-01-07 11:13:31 main:574] : INFO : Epoch 1985 | loss: 0.0311063 | val_loss: 0.0311401 | Time: 5355.66 ms
[2022-01-07 11:13:36 main:574] : INFO : Epoch 1986 | loss: 0.0311042 | val_loss: 0.0311453 | Time: 5275.25 ms
[2022-01-07 11:13:41 main:574] : INFO : Epoch 1987 | loss: 0.0311049 | val_loss: 0.0311403 | Time: 5048.11 ms
[2022-01-07 11:13:47 main:574] : INFO : Epoch 1988 | loss: 0.0311028 | val_loss: 0.031146 | Time: 5524.09 ms
[2022-01-07 11:13:53 main:574] : INFO : Epoch 1989 | loss: 0.0311028 | val_loss: 0.0311417 | Time: 5650.5 ms
[2022-01-07 11:13:58 main:574] : INFO : Epoch 1990 | loss: 0.031103 | val_loss: 0.0311418 | Time: 5472.68 ms
[2022-01-07 11:14:04 main:574] : INFO : Epoch 1991 | loss: 0.0311049 | val_loss: 0.0311481 | Time: 5522.34 ms
[2022-01-07 11:14:10 main:574] : INFO : Epoch 1992 | loss: 0.0311062 | val_loss: 0.0311449 | Time: 5983.74 ms
[2022-01-07 11:14:15 main:574] : INFO : Epoch 1993 | loss: 0.031105 | val_loss: 0.0311506 | Time: 5061.81 ms
[2022-01-07 11:14:20 main:574] : INFO : Epoch 1994 | loss: 0.0311068 | val_loss: 0.0311477 | Time: 5447.84 ms
[2022-01-07 11:14:26 main:574] : INFO : Epoch 1995 | loss: 0.0311093 | val_loss: 0.0311452 | Time: 5594.24 ms
[2022-01-07 11:14:31 main:574] : INFO : Epoch 1996 | loss: 0.0311084 | val_loss: 0.0311464 | Time: 5577.95 ms
[2022-01-07 11:14:37 main:574] : INFO : Epoch 1997 | loss: 0.0311061 | val_loss: 0.0311448 | Time: 5573.47 ms
[2022-01-07 11:14:42 main:574] : INFO : Epoch 1998 | loss: 0.0311095 | val_loss: 0.0311481 | Time: 5096.9 ms
[2022-01-07 11:14:47 main:574] : INFO : Epoch 1999 | loss: 0.0311087 | val_loss: 0.0311438 | Time: 5408.41 ms
[2022-01-07 11:14:53 main:574] : INFO : Epoch 2000 | loss: 0.031108 | val_loss: 0.0311433 | Time: 5622.67 ms
[2022-01-07 11:14:58 main:574] : INFO : Epoch 2001 | loss: 0.0311051 | val_loss: 0.031144 | Time: 5293.15 ms
[2022-01-07 11:15:04 main:574] : INFO : Epoch 2002 | loss: 0.0311021 | val_loss: 0.031144 | Time: 5608.64 ms
[2022-01-07 11:15:09 main:574] : INFO : Epoch 2003 | loss: 0.0311035 | val_loss: 0.0311398 | Time: 5210.62 ms
[2022-01-07 11:15:14 main:574] : INFO : Epoch 2004 | loss: 0.031103 | val_loss: 0.0311407 | Time: 5256.58 ms
[2022-01-07 11:15:20 main:574] : INFO : Epoch 2005 | loss: 0.0311015 | val_loss: 0.0311429 | Time: 5657.44 ms
[2022-01-07 11:15:26 main:574] : INFO : Epoch 2006 | loss: 0.0311007 | val_loss: 0.0311448 | Time: 5448.45 ms
[2022-01-07 11:15:31 main:574] : INFO : Epoch 2007 | loss: 0.0311028 | val_loss: 0.0311452 | Time: 5654.03 ms
[2022-01-07 11:15:37 main:574] : INFO : Epoch 2008 | loss: 0.0311052 | val_loss: 0.0311485 | Time: 5601.09 ms
[2022-01-07 11:15:42 main:574] : INFO : Epoch 2009 | loss: 0.0311022 | val_loss: 0.0311461 | Time: 5327.65 ms
[2022-01-07 11:15:48 main:574] : INFO : Epoch 2010 | loss: 0.0311059 | val_loss: 0.0311434 | Time: 5748.38 ms
[2022-01-07 11:15:54 main:574] : INFO : Epoch 2011 | loss: 0.031103 | val_loss: 0.0311445 | Time: 5698.27 ms
[2022-01-07 11:15:59 main:574] : INFO : Epoch 2012 | loss: 0.0311038 | val_loss: 0.0311478 | Time: 5869.33 ms
[2022-01-07 11:16:05 main:574] : INFO : Epoch 2013 | loss: 0.0311103 | val_loss: 0.0311684 | Time: 5720.27 ms
[2022-01-07 11:16:11 main:574] : INFO : Epoch 2014 | loss: 0.0311602 | val_loss: 0.0311638 | Time: 5850.32 ms
[2022-01-07 11:16:17 main:574] : INFO : Epoch 2015 | loss: 0.0311627 | val_loss: 0.0311578 | Time: 5538.87 ms
[2022-01-07 11:16:22 main:574] : INFO : Epoch 2016 | loss: 0.0311548 | val_loss: 0.0311508 | Time: 5278.16 ms
[2022-01-07 11:16:27 main:574] : INFO : Epoch 2017 | loss: 0.0311493 | val_loss: 0.0311467 | Time: 5351.83 ms
[2022-01-07 11:16:33 main:574] : INFO : Epoch 2018 | loss: 0.0311469 | val_loss: 0.0311571 | Time: 5944.61 ms
[2022-01-07 11:16:39 main:574] : INFO : Epoch 2019 | loss: 0.0311475 | val_loss: 0.0311518 | Time: 5699.58 ms
[2022-01-07 11:16:44 main:574] : INFO : Epoch 2020 | loss: 0.0311419 | val_loss: 0.0311538 | Time: 5395.42 ms
[2022-01-07 11:16:50 main:574] : INFO : Epoch 2021 | loss: 0.0311359 | val_loss: 0.0311452 | Time: 5254.38 ms
[2022-01-07 11:16:55 main:574] : INFO : Epoch 2022 | loss: 0.0311298 | val_loss: 0.0311408 | Time: 5146.38 ms
[2022-01-07 11:17:01 main:574] : INFO : Epoch 2023 | loss: 0.0311344 | val_loss: 0.0311429 | Time: 5915.24 ms
[2022-01-07 11:17:06 main:574] : INFO : Epoch 2024 | loss: 0.0311301 | val_loss: 0.031142 | Time: 5469.52 ms
[2022-01-07 11:17:12 main:574] : INFO : Epoch 2025 | loss: 0.031128 | val_loss: 0.031149 | Time: 5588.62 ms
[2022-01-07 11:17:17 main:574] : INFO : Epoch 2026 | loss: 0.0311282 | val_loss: 0.03114 | Time: 5360.38 ms
[2022-01-07 11:17:22 main:574] : INFO : Epoch 2027 | loss: 0.0311277 | val_loss: 0.0311417 | Time: 5169.56 ms
[2022-01-07 11:17:27 main:574] : INFO : Epoch 2028 | loss: 0.0311228 | val_loss: 0.0311381 | Time: 5187.69 ms
[2022-01-07 11:17:33 main:574] : INFO : Epoch 2029 | loss: 0.0311207 | val_loss: 0.0311392 | Time: 5340.23 ms
[2022-01-07 11:17:38 main:574] : INFO : Epoch 2030 | loss: 0.0311203 | val_loss: 0.0311368 | Time: 5338.32 ms
[2022-01-07 11:17:44 main:574] : INFO : Epoch 2031 | loss: 0.0311222 | val_loss: 0.0311376 | Time: 5468.6 ms
[2022-01-07 11:17:49 main:574] : INFO : Epoch 2032 | loss: 0.0311185 | val_loss: 0.0311378 | Time: 5244.23 ms
[2022-01-07 11:17:54 main:574] : INFO : Epoch 2033 | loss: 0.0311241 | val_loss: 0.0311424 | Time: 5156.55 ms
[2022-01-07 11:18:00 main:574] : INFO : Epoch 2034 | loss: 0.0311197 | val_loss: 0.0311407 | Time: 5607.77 ms
[2022-01-07 11:18:05 main:574] : INFO : Epoch 2035 | loss: 0.0311195 | val_loss: 0.0311419 | Time: 5332.93 ms
[2022-01-07 11:18:10 main:574] : INFO : Epoch 2036 | loss: 0.031117 | val_loss: 0.0311407 | Time: 5417.34 ms
[2022-01-07 11:18:16 main:574] : INFO : Epoch 2037 | loss: 0.0311219 | val_loss: 0.0311513 | Time: 5232.78 ms
[2022-01-07 11:18:21 main:574] : INFO : Epoch 2038 | loss: 0.0311254 | val_loss: 0.0311745 | Time: 5525.01 ms
[2022-01-07 11:18:26 main:574] : INFO : Epoch 2039 | loss: 0.0319034 | val_loss: 0.0332546 | Time: 5344.93 ms
[2022-01-07 11:18:32 main:574] : INFO : Epoch 2040 | loss: 0.0372967 | val_loss: 0.0318009 | Time: 5500.71 ms
[2022-01-07 11:18:37 main:574] : INFO : Epoch 2041 | loss: 0.0326004 | val_loss: 0.0316797 | Time: 5463.96 ms
[2022-01-07 11:18:43 main:574] : INFO : Epoch 2042 | loss: 0.0314347 | val_loss: 0.0312311 | Time: 5301.44 ms
[2022-01-07 11:18:48 main:574] : INFO : Epoch 2043 | loss: 0.0312254 | val_loss: 0.0312082 | Time: 5559.39 ms
[2022-01-07 11:18:54 main:574] : INFO : Epoch 2044 | loss: 0.031193 | val_loss: 0.0311858 | Time: 5369.83 ms
[2022-01-07 11:19:00 main:574] : INFO : Epoch 2045 | loss: 0.0311833 | val_loss: 0.0311787 | Time: 5885.34 ms
[2022-01-07 11:19:06 main:574] : INFO : Epoch 2046 | loss: 0.0311779 | val_loss: 0.0311728 | Time: 6138.42 ms
[2022-01-07 11:19:11 main:574] : INFO : Epoch 2047 | loss: 0.0311682 | val_loss: 0.0311617 | Time: 5316.63 ms
[2022-01-07 11:19:16 main:574] : INFO : Epoch 2048 | loss: 0.031158 | val_loss: 0.0311516 | Time: 5361.68 ms
[2022-01-07 11:19:16 main:597] : INFO : Saving trained model to model-final.pt, val_loss 0.0311516
[2022-01-07 11:19:16 main:603] : INFO : Saving end state to config to file
[2022-01-07 11:19:16 main:608] : INFO : Success, exiting..
11:19:16 (18024): called boinc_finish(0)
</stderr_txt>
]]>
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A project of the Cognition, Robotics, and Learning (CORAL) Lab at the University of Maryland, Baltimore County (UMBC)