Task 5087389
| Name | ParityMachine-1617242566-18593-2_3 |
| Workunit | 2887705 |
| Created | 25 Apr 2021, 13:37:52 UTC |
| Sent | 25 Apr 2021, 14:47:36 UTC |
| Report deadline | 2 May 2021, 14:47:36 UTC |
| Received | 25 Apr 2021, 16:42:56 UTC |
| Server state | Over |
| Outcome | Computation error |
| Client state | Aborted by user |
| Exit status | 203 (0x000000CB) EXIT_ABORTED_VIA_GUI |
| Computer ID | 11741 |
| Run time | 11 min 34 sec |
| CPU time | 10 min 8 sec |
| Validate state | Invalid |
| Credit | 0.00 |
| Device peak FLOPS | 2,933.19 GFLOPS |
| Application version | Machine Learning Dataset Generator (GPU) v9.75 (cuda10200) windows_x86_64 |
| Peak working set size | 2.10 GB |
| Peak swap size | 4.31 GB |
| Peak disk usage | 1.53 GB |
Stderr output
<core_client_version>7.16.11</core_client_version> <![CDATA[ <message> aborted by user</message> <stderr_txt> Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: GeForce GTX 1650) [2021-04-25 16:59:23 main:435] : INFO : Set logging level to 1 [2021-04-25 16:59:23 main:441] : INFO : Running in BOINC Client mode [2021-04-25 16:59:23 main:444] : INFO : Resolving all filenames [2021-04-25 16:59:23 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 (exists = 1) [2021-04-25 16:59:23 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/ParityMachine-1617242566-18593-2_3_r1771356507_1 (exists = 0) [2021-04-25 16:59:23 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/ParityMachine-1617242566-18593-2_3_r1771356507_0 (exists = 0) [2021-04-25 16:59:23 main:452] : INFO : Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/ParityMachine-1617242566-18593-2 (exists = 1) [2021-04-25 16:59:23 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2021-04-25 16:59:23 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 [2021-04-25 16:59:23 main:474] : INFO : Configuration: [2021-04-25 16:59:23 main:475] : INFO : Model type: GRU [2021-04-25 16:59:24 main:476] : INFO : Validation Loss Threshold: 0.0001 [2021-04-25 16:59:24 main:477] : INFO : Max Epochs: 2048 [2021-04-25 16:59:24 main:478] : INFO : Batch Size: 128 [2021-04-25 16:59:24 main:479] : INFO : Learning Rate: 0.01 [2021-04-25 16:59:24 main:480] : INFO : Patience: 10 [2021-04-25 16:59:24 main:481] : INFO : Hidden Width: 12 [2021-04-25 16:59:25 main:482] : INFO : # Recurrent Layers: 4 [2021-04-25 16:59:25 main:483] : INFO : # Backend Layers: 4 [2021-04-25 16:59:25 main:484] : INFO : # Threads: 1 [2021-04-25 16:59:25 main:486] : INFO : Preparing Dataset [2021-04-25 16:59:25 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 into memory [2021-04-25 16:59:30 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 into memory [2021-04-25 17:00:05 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2021-04-25 17:00:05 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 into memory [2021-04-25 17:00:06 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 into memory [2021-04-25 17:00:07 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2021-04-25 17:00:07 main:494] : INFO : Creating Model [2021-04-25 17:00:07 main:507] : INFO : Preparing config file [2021-04-25 17:00:07 main:519] : INFO : Creating new config file [2021-04-25 17:00:07 main:538] : INFO : This is a continuation WU, loading previous network [2021-04-25 17:00:51 main:559] : INFO : Loading DataLoader into Memory [2021-04-25 17:00:51 main:562] : INFO : Starting Training [2021-04-25 17:01:07 main:574] : INFO : Epoch 1 | loss: 0.0312542 | val_loss: 0.0311997 | Time: 16477.9 ms [2021-04-25 17:01:15 main:574] : INFO : Epoch 2 | loss: 0.0311959 | val_loss: 0.0311983 | Time: 7505.52 ms [2021-04-25 17:01:22 main:574] : INFO : Epoch 3 | loss: 0.0311896 | val_loss: 0.0311908 | Time: 7434.5 ms [2021-04-25 17:01:30 main:574] : INFO : Epoch 4 | loss: 0.031187 | val_loss: 0.0311883 | Time: 7226.23 ms Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: GeForce GTX 1650) [2021-04-25 17:32:23 main:435] : INFO : Set logging level to 1 [2021-04-25 17:32:23 main:441] : INFO : Running in BOINC Client mode [2021-04-25 17:32:23 main:444] : INFO : Resolving all filenames [2021-04-25 17:32:23 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 (exists = 1) [2021-04-25 17:32:23 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/ParityMachine-1617242566-18593-2_3_r1771356507_1 (exists = 1) [2021-04-25 17:32:23 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/ParityMachine-1617242566-18593-2_3_r1771356507_0 (exists = 0) [2021-04-25 17:32:23 main:452] : INFO : Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/ParityMachine-1617242566-18593-2 (exists = 1) [2021-04-25 17:32:23 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2021-04-25 17:32:23 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 [2021-04-25 17:32:23 main:474] : INFO : Configuration: [2021-04-25 17:32:23 main:475] : INFO : Model type: GRU [2021-04-25 17:32:23 main:476] : INFO : Validation Loss Threshold: 0.0001 [2021-04-25 17:32:23 main:477] : INFO : Max Epochs: 2048 [2021-04-25 17:32:23 main:478] : INFO : Batch Size: 128 [2021-04-25 17:32:23 main:479] : INFO : Learning Rate: 0.01 [2021-04-25 17:32:23 main:480] : INFO : Patience: 10 [2021-04-25 17:32:23 main:481] : INFO : Hidden Width: 12 [2021-04-25 17:32:23 main:482] : INFO : # Recurrent Layers: 4 [2021-04-25 17:32:23 main:483] : INFO : # Backend Layers: 4 [2021-04-25 17:32:23 main:484] : INFO : # Threads: 1 [2021-04-25 17:32:23 main:486] : INFO : Preparing Dataset [2021-04-25 17:32:23 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 into memory [2021-04-25 17:32:24 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 into memory Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: GeForce GTX 1650) [2021-04-25 17:52:53 main:435] : INFO : Set logging level to 1 [2021-04-25 17:52:53 main:441] : INFO : Running in BOINC Client mode [2021-04-25 17:52:53 main:444] : INFO : Resolving all filenames [2021-04-25 17:52:53 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 (exists = 1) [2021-04-25 17:52:53 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/ParityMachine-1617242566-18593-2_3_r1771356507_1 (exists = 1) [2021-04-25 17:52:53 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/ParityMachine-1617242566-18593-2_3_r1771356507_0 (exists = 0) [2021-04-25 17:52:53 main:452] : INFO : Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/ParityMachine-1617242566-18593-2 (exists = 1) [2021-04-25 17:52:53 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2021-04-25 17:52:53 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 [2021-04-25 17:52:53 main:474] : INFO : Configuration: [2021-04-25 17:52:53 main:475] : INFO : Model type: GRU [2021-04-25 17:52:53 main:476] : INFO : Validation Loss Threshold: 0.0001 [2021-04-25 17:52:53 main:477] : INFO : Max Epochs: 2048 [2021-04-25 17:52:53 main:478] : INFO : Batch Size: 128 [2021-04-25 17:52:53 main:479] : INFO : Learning Rate: 0.01 [2021-04-25 17:52:53 main:480] : INFO : Patience: 10 [2021-04-25 17:52:53 main:481] : INFO : Hidden Width: 12 [2021-04-25 17:52:53 main:482] : INFO : # Recurrent Layers: 4 [2021-04-25 17:52:53 main:483] : INFO : # Backend Layers: 4 [2021-04-25 17:52:53 main:484] : INFO : # Threads: 1 [2021-04-25 17:52:53 main:486] : INFO : Preparing Dataset [2021-04-25 17:52:53 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 into memory [2021-04-25 17:52:53 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 into memory [2021-04-25 17:52:58 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2021-04-25 17:52:58 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 into memory [2021-04-25 17:52:58 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 into memory [2021-04-25 17:52:59 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2021-04-25 17:52:59 main:494] : INFO : Creating Model [2021-04-25 17:52:59 main:507] : INFO : Preparing config file [2021-04-25 17:52:59 main:519] : INFO : Creating new config file [2021-04-25 17:52:59 main:538] : INFO : This is a continuation WU, loading previous network [2021-04-25 17:53:04 main:559] : INFO : Loading DataLoader into Memory [2021-04-25 17:53:04 main:562] : INFO : Starting Training [2021-04-25 17:53:10 main:574] : INFO : Epoch 1 | loss: 0.0312522 | val_loss: 0.0312074 | Time: 5499.06 ms [2021-04-25 17:53:14 main:574] : INFO : Epoch 2 | loss: 0.0312003 | val_loss: 0.0312004 | Time: 3942.96 ms [2021-04-25 17:53:18 main:574] : INFO : Epoch 3 | loss: 0.0311946 | val_loss: 0.0311989 | Time: 3919.24 ms [2021-04-25 17:53:22 main:574] : INFO : Epoch 4 | loss: 0.0311905 | val_loss: 0.0311944 | Time: 3904.27 ms [2021-04-25 17:53:26 main:574] : INFO : Epoch 5 | loss: 0.0311877 | val_loss: 0.031191 | Time: 3915.63 ms [2021-04-25 17:53:30 main:574] : INFO : Epoch 6 | loss: 0.0311864 | val_loss: 0.0311962 | Time: 3918.75 ms [2021-04-25 17:53:33 main:574] : INFO : Epoch 7 | loss: 0.0311897 | val_loss: 0.0311923 | Time: 3938.96 ms [2021-04-25 17:53:37 main:574] : INFO : Epoch 8 | loss: 0.0311853 | val_loss: 0.0311919 | Time: 3915.43 ms [2021-04-25 17:53:41 main:574] : INFO : Epoch 9 | loss: 0.0311819 | val_loss: 0.0311879 | Time: 3914.23 ms [2021-04-25 17:53:45 main:574] : INFO : Epoch 10 | loss: 0.0311796 | val_loss: 0.0311866 | Time: 3906.77 ms [2021-04-25 17:53:49 main:574] : INFO : Epoch 11 | loss: 0.0311782 | val_loss: 0.0311867 | Time: 3932.31 ms [2021-04-25 17:53:53 main:574] : INFO : Epoch 12 | loss: 0.0311773 | val_loss: 0.0311857 | Time: 4014.51 ms [2021-04-25 17:53:57 main:574] : INFO : Epoch 13 | loss: 0.0311758 | val_loss: 0.031187 | Time: 4062.03 ms [2021-04-25 17:54:01 main:574] : INFO : Epoch 14 | loss: 0.0311742 | val_loss: 0.0311829 | Time: 4043.26 ms [2021-04-25 17:54:05 main:574] : INFO : Epoch 15 | loss: 0.031174 | val_loss: 0.0311834 | Time: 3897.72 ms [2021-04-25 17:54:09 main:574] : INFO : Epoch 16 | loss: 0.0311738 | val_loss: 0.0311899 | Time: 3944.49 ms [2021-04-25 17:54:13 main:574] : INFO : Epoch 17 | loss: 0.0311747 | val_loss: 0.0311809 | Time: 4067.36 ms [2021-04-25 17:54:17 main:574] : INFO : Epoch 18 | loss: 0.0311722 | val_loss: 0.0311846 | Time: 3878.06 ms [2021-04-25 17:54:21 main:574] : INFO : Epoch 19 | loss: 0.0311708 | val_loss: 0.0311826 | Time: 3904.89 ms [2021-04-25 17:54:25 main:574] : INFO : Epoch 20 | loss: 0.0311702 | val_loss: 0.0311802 | Time: 3959.45 ms [2021-04-25 17:54:29 main:574] : INFO : Epoch 21 | loss: 0.03117 | val_loss: 0.031183 | Time: 3994.67 ms [2021-04-25 17:54:33 main:574] : INFO : Epoch 22 | loss: 0.031171 | val_loss: 0.0311805 | Time: 3976.15 ms [2021-04-25 17:54:38 main:574] : INFO : Epoch 23 | loss: 0.0311677 | val_loss: 0.0311793 | Time: 4492.2 ms [2021-04-25 17:54:42 main:574] : INFO : Epoch 24 | loss: 0.0311689 | val_loss: 0.0311795 | Time: 3941.53 ms [2021-04-25 17:54:45 main:574] : INFO : Epoch 25 | loss: 0.0311704 | val_loss: 0.0311803 | Time: 3930.02 ms [2021-04-25 17:54:49 main:574] : INFO : Epoch 26 | loss: 0.0311677 | val_loss: 0.0311796 | Time: 3898.58 ms [2021-04-25 17:54:53 main:574] : INFO : Epoch 27 | loss: 0.031166 | val_loss: 0.0311781 | Time: 3904.75 ms [2021-04-25 17:54:57 main:574] : INFO : Epoch 28 | loss: 0.0311674 | val_loss: 0.0311861 | Time: 3930.57 ms [2021-04-25 17:55:01 main:574] : INFO : Epoch 29 | loss: 0.0311678 | val_loss: 0.0311792 | Time: 3935.41 ms [2021-04-25 17:55:05 main:574] : INFO : Epoch 30 | loss: 0.0311666 | val_loss: 0.0311791 | Time: 3932.85 ms [2021-04-25 17:55:09 main:574] : INFO : Epoch 31 | loss: 0.0311658 | val_loss: 0.0311784 | Time: 3888.07 ms [2021-04-25 17:55:13 main:574] : INFO : Epoch 32 | loss: 0.0311673 | val_loss: 0.0311772 | Time: 4108.36 ms [2021-04-25 17:55:17 main:574] : INFO : Epoch 33 | loss: 0.0311666 | val_loss: 0.0311778 | Time: 4017.8 ms [2021-04-25 17:55:21 main:574] : INFO : Epoch 34 | loss: 0.0311651 | val_loss: 0.0311799 | Time: 3977.12 ms [2021-04-25 17:55:25 main:574] : INFO : Epoch 35 | loss: 0.0311626 | val_loss: 0.0311775 | Time: 3905.1 ms [2021-04-25 17:55:29 main:574] : INFO : Epoch 36 | loss: 0.0311657 | val_loss: 0.0311826 | Time: 4253.55 ms [2021-04-25 17:55:33 main:574] : INFO : Epoch 37 | loss: 0.031165 | val_loss: 0.0311798 | Time: 3940.34 ms [2021-04-25 17:55:37 main:574] : INFO : Epoch 38 | loss: 0.0311638 | val_loss: 0.0311773 | Time: 3919.03 ms [2021-04-25 17:55:41 main:574] : INFO : Epoch 39 | loss: 0.0311642 | val_loss: 0.0311794 | Time: 3884.34 ms [2021-04-25 17:55:45 main:574] : INFO : Epoch 40 | loss: 0.0311624 | val_loss: 0.0311753 | Time: 3905.24 ms [2021-04-25 17:55:49 main:574] : INFO : Epoch 41 | loss: 0.0311602 | val_loss: 0.0311754 | Time: 3915.44 ms [2021-04-25 17:55:53 main:574] : INFO : Epoch 42 | loss: 0.0311618 | val_loss: 0.0311769 | Time: 4103.41 ms [2021-04-25 17:55:57 main:574] : INFO : Epoch 43 | loss: 0.0311593 | val_loss: 0.0311759 | Time: 4080.75 ms [2021-04-25 17:56:01 main:574] : INFO : Epoch 44 | loss: 0.0311618 | val_loss: 0.031179 | Time: 4046.6 ms [2021-04-25 17:56:05 main:574] : INFO : Epoch 45 | loss: 0.0311618 | val_loss: 0.0311734 | Time: 3965.12 ms [2021-04-25 17:56:09 main:574] : INFO : Epoch 46 | loss: 0.0311595 | val_loss: 0.0311765 | Time: 4084.95 ms [2021-04-25 17:56:13 main:574] : INFO : Epoch 47 | loss: 0.0311601 | val_loss: 0.031181 | Time: 4013.2 ms [2021-04-25 17:56:17 main:574] : INFO : Epoch 48 | loss: 0.0311595 | val_loss: 0.0311757 | Time: 3904.86 ms [2021-04-25 17:56:21 main:574] : INFO : Epoch 49 | loss: 0.0311592 | val_loss: 0.0311809 | Time: 3912.85 ms [2021-04-25 17:56:25 main:574] : INFO : Epoch 50 | loss: 0.0311599 | val_loss: 0.0311789 | Time: 3999.72 ms [2021-04-25 17:56:29 main:574] : INFO : Epoch 51 | loss: 0.0311593 | val_loss: 0.0311744 | Time: 4029.79 ms [2021-04-25 17:56:33 main:574] : INFO : Epoch 52 | loss: 0.0311584 | val_loss: 0.0311746 | Time: 4090.25 ms [2021-04-25 17:56:37 main:574] : INFO : Epoch 53 | loss: 0.0311579 | val_loss: 0.0311751 | Time: 4186.32 ms [2021-04-25 17:56:42 main:574] : INFO : Epoch 54 | loss: 0.0311572 | val_loss: 0.031174 | Time: 4122.38 ms [2021-04-25 17:56:46 main:574] : INFO : Epoch 55 | loss: 0.0311555 | val_loss: 0.031176 | Time: 4053.67 ms [2021-04-25 17:56:50 main:574] : INFO : Epoch 56 | loss: 0.0311556 | val_loss: 0.0311744 | Time: 3950.69 ms [2021-04-25 17:56:54 main:574] : INFO : Epoch 57 | loss: 0.0311559 | val_loss: 0.0311747 | Time: 4047.37 ms [2021-04-25 17:56:58 main:574] : INFO : Epoch 58 | loss: 0.0311579 | val_loss: 0.0311748 | Time: 4106.52 ms [2021-04-25 17:57:02 main:574] : INFO : Epoch 59 | loss: 0.0311582 | val_loss: 0.0311745 | Time: 3850.56 ms [2021-04-25 17:57:06 main:574] : INFO : Epoch 60 | loss: 0.0311595 | val_loss: 0.031173 | Time: 4599.45 ms [2021-04-25 17:57:10 main:574] : INFO : Epoch 61 | loss: 0.0311591 | val_loss: 0.0311737 | Time: 4032.55 ms [2021-04-25 17:57:14 main:574] : INFO : Epoch 62 | loss: 0.0311603 | val_loss: 0.0311749 | Time: 3960.57 ms [2021-04-25 17:57:18 main:574] : INFO : Epoch 63 | loss: 0.0311562 | val_loss: 0.0311789 | Time: 3984.98 ms [2021-04-25 17:57:22 main:574] : INFO : Epoch 64 | loss: 0.031154 | val_loss: 0.0311724 | Time: 4068.69 ms [2021-04-25 17:57:26 main:574] : INFO : Epoch 65 | loss: 0.0311537 | val_loss: 0.0311719 | Time: 3912.14 ms [2021-04-25 17:57:30 main:574] : INFO : Epoch 66 | loss: 0.0311593 | val_loss: 0.0311736 | Time: 3893.73 ms [2021-04-25 17:57:34 main:574] : INFO : Epoch 67 | loss: 0.0311595 | val_loss: 0.0311765 | Time: 3922.3 ms [2021-04-25 17:57:38 main:574] : INFO : Epoch 68 | loss: 0.0311556 | val_loss: 0.031171 | Time: 3896.39 ms [2021-04-25 17:57:42 main:574] : INFO : Epoch 69 | loss: 0.031157 | val_loss: 0.0311739 | Time: 3920.81 ms [2021-04-25 17:57:46 main:574] : INFO : Epoch 70 | loss: 0.0311547 | val_loss: 0.0311721 | Time: 3905.56 ms [2021-04-25 17:57:50 main:574] : INFO : Epoch 71 | loss: 0.0311568 | val_loss: 0.0311772 | Time: 4025.51 ms [2021-04-25 17:57:54 main:574] : INFO : Epoch 72 | loss: 0.0311561 | val_loss: 0.0311709 | Time: 4004.23 ms [2021-04-25 17:57:58 main:574] : INFO : Epoch 73 | loss: 0.031156 | val_loss: 0.0311768 | Time: 3950.32 ms [2021-04-25 17:58:02 main:574] : INFO : Epoch 74 | loss: 0.0311549 | val_loss: 0.0311728 | Time: 3989.85 ms [2021-04-25 17:58:06 main:574] : INFO : Epoch 75 | loss: 0.031151 | val_loss: 0.0311726 | Time: 3900.75 ms [2021-04-25 17:58:10 main:574] : INFO : Epoch 76 | loss: 0.0311511 | val_loss: 0.0311773 | Time: 3886.86 ms [2021-04-25 17:58:14 main:574] : INFO : Epoch 77 | loss: 0.0311519 | val_loss: 0.0311735 | Time: 3901.72 ms [2021-04-25 17:58:17 main:574] : INFO : Epoch 78 | loss: 0.0311551 | val_loss: 0.0311722 | Time: 3899.73 ms [2021-04-25 17:58:21 main:574] : INFO : Epoch 79 | loss: 0.0311553 | val_loss: 0.0311728 | Time: 4006.84 ms [2021-04-25 17:58:25 main:574] : INFO : Epoch 80 | loss: 0.0311589 | val_loss: 0.0311734 | Time: 4024.92 ms [2021-04-25 17:58:29 main:574] : INFO : Epoch 81 | loss: 0.0311598 | val_loss: 0.0311686 | Time: 3939.54 ms [2021-04-25 17:58:33 main:574] : INFO : Epoch 82 | loss: 0.0311576 | val_loss: 0.0311701 | Time: 3972.89 ms [2021-04-25 17:58:37 main:574] : INFO : Epoch 83 | loss: 0.0311588 | val_loss: 0.03118 | Time: 3911.36 ms [2021-04-25 17:58:41 main:574] : INFO : Epoch 84 | loss: 0.0311572 | val_loss: 0.0311758 | Time: 3894.68 ms [2021-04-25 17:58:45 main:574] : INFO : Epoch 85 | loss: 0.0311538 | val_loss: 0.0311763 | Time: 3893.48 ms [2021-04-25 17:58:49 main:574] : INFO : Epoch 86 | loss: 0.0311547 | val_loss: 0.031173 | Time: 3931.64 ms [2021-04-25 17:58:53 main:574] : INFO : Epoch 87 | loss: 0.0311505 | val_loss: 0.0311712 | Time: 3882.8 ms [2021-04-25 17:58:57 main:574] : INFO : Epoch 88 | loss: 0.0311516 | val_loss: 0.0311726 | Time: 4263.62 ms [2021-04-25 17:59:01 main:574] : INFO : Epoch 89 | loss: 0.0311501 | val_loss: 0.0311724 | Time: 3928.38 ms [2021-04-25 17:59:05 main:574] : INFO : Epoch 90 | loss: 0.0311499 | val_loss: 0.0311718 | Time: 3993.11 ms [2021-04-25 17:59:09 main:574] : INFO : Epoch 91 | loss: 0.0311489 | val_loss: 0.0311694 | Time: 3893.14 ms [2021-04-25 17:59:13 main:574] : INFO : Epoch 92 | loss: 0.0311501 | val_loss: 0.0311738 | Time: 3930.85 ms [2021-04-25 17:59:17 main:574] : INFO : Epoch 93 | loss: 0.0311581 | val_loss: 0.0311771 | Time: 3934.95 ms [2021-04-25 17:59:21 main:574] : INFO : Epoch 94 | loss: 0.0311532 | val_loss: 0.0311747 | Time: 3922.22 ms [2021-04-25 17:59:25 main:574] : INFO : Epoch 95 | loss: 0.0311494 | val_loss: 0.0311713 | Time: 3915.21 ms [2021-04-25 17:59:29 main:574] : INFO : Epoch 96 | loss: 0.0311508 | val_loss: 0.0311716 | Time: 4170.58 ms [2021-04-25 17:59:33 main:574] : INFO : Epoch 97 | loss: 0.0311504 | val_loss: 0.0311759 | Time: 3996.33 ms [2021-04-25 17:59:37 main:574] : INFO : Epoch 98 | loss: 0.0311488 | val_loss: 0.0311719 | Time: 3896.43 ms [2021-04-25 17:59:41 main:574] : INFO : Epoch 99 | loss: 0.0311512 | val_loss: 0.0311712 | Time: 3943.09 ms [2021-04-25 17:59:45 main:574] : INFO : Epoch 100 | loss: 0.0311518 | val_loss: 0.0311746 | Time: 3983.89 ms [2021-04-25 17:59:49 main:574] : INFO : Epoch 101 | loss: 0.0311474 | val_loss: 0.0311697 | Time: 3997.97 ms [2021-04-25 17:59:53 main:574] : INFO : Epoch 102 | loss: 0.0311506 | val_loss: 0.0311709 | Time: 3990.13 ms [2021-04-25 17:59:57 main:574] : INFO : Epoch 103 | loss: 0.0311525 | val_loss: 0.0311787 | Time: 3944.24 ms [2021-04-25 18:00:01 main:574] : INFO : Epoch 104 | loss: 0.0311561 | val_loss: 0.0311733 | Time: 4070.27 ms [2021-04-25 18:00:05 main:574] : INFO : Epoch 105 | loss: 0.0311569 | val_loss: 0.0311773 | Time: 3984.72 ms [2021-04-25 18:00:09 main:574] : INFO : Epoch 106 | loss: 0.0311627 | val_loss: 0.0311727 | Time: 3978.41 ms [2021-04-25 18:00:13 main:574] : INFO : Epoch 107 | loss: 0.0311566 | val_loss: 0.0311688 | Time: 3909.31 ms [2021-04-25 18:00:17 main:574] : INFO : Epoch 108 | loss: 0.0311545 | val_loss: 0.031175 | Time: 4050.56 ms [2021-04-25 18:00:21 main:574] : INFO : Epoch 109 | loss: 0.031157 | val_loss: 0.0311778 | Time: 4012.33 ms [2021-04-25 18:00:25 main:574] : INFO : Epoch 110 | loss: 0.0311522 | val_loss: 0.0311699 | Time: 3996.46 ms [2021-04-25 18:00:29 main:574] : INFO : Epoch 111 | loss: 0.0311512 | val_loss: 0.0311719 | Time: 4252.37 ms [2021-04-25 18:00:33 main:574] : INFO : Epoch 112 | loss: 0.0311505 | val_loss: 0.03117 | Time: 4160.99 ms [2021-04-25 18:00:37 main:574] : INFO : Epoch 113 | loss: 0.0311515 | val_loss: 0.03117 | Time: 3901.07 ms [2021-04-25 18:00:41 main:574] : INFO : Epoch 114 | loss: 0.031152 | val_loss: 0.0311703 | Time: 4245.24 ms [2021-04-25 18:00:45 main:574] : INFO : Epoch 115 | loss: 0.0311518 | val_loss: 0.0311685 | Time: 3925.22 ms [2021-04-25 18:00:49 main:574] : INFO : Epoch 116 | loss: 0.0311476 | val_loss: 0.0311707 | Time: 3912.35 ms [2021-04-25 18:00:54 main:574] : INFO : Epoch 117 | loss: 0.031147 | val_loss: 0.0311707 | Time: 4376.04 ms [2021-04-25 18:00:58 main:574] : INFO : Epoch 118 | loss: 0.0311527 | val_loss: 0.0311657 | Time: 3962.74 ms [2021-04-25 18:01:02 main:574] : INFO : Epoch 119 | loss: 0.0311511 | val_loss: 0.0311664 | Time: 3975.49 ms [2021-04-25 18:01:06 main:574] : INFO : Epoch 120 | loss: 0.0311496 | val_loss: 0.0311712 | Time: 4024.43 ms [2021-04-25 18:01:10 main:574] : INFO : Epoch 121 | loss: 0.0311507 | val_loss: 0.0311695 | Time: 4230.14 ms [2021-04-25 18:01:14 main:574] : INFO : Epoch 122 | loss: 0.0311488 | val_loss: 0.0311703 | Time: 3930.63 ms [2021-04-25 18:01:18 main:574] : INFO : Epoch 123 | loss: 0.0311489 | val_loss: 0.0311689 | Time: 4138.29 ms [2021-04-25 18:01:22 main:574] : INFO : Epoch 124 | loss: 0.0311475 | val_loss: 0.0311735 | Time: 4044.92 ms [2021-04-25 18:01:26 main:574] : INFO : Epoch 125 | loss: 0.0311488 | val_loss: 0.0311706 | Time: 3981.25 ms [2021-04-25 18:01:30 main:574] : INFO : Epoch 126 | loss: 0.0311474 | val_loss: 0.0311719 | Time: 3916.89 ms [2021-04-25 18:01:34 main:574] : INFO : Epoch 127 | loss: 0.0311481 | val_loss: 0.0311737 | Time: 3925.21 ms [2021-04-25 18:01:38 main:574] : INFO : Epoch 128 | loss: 0.0311552 | val_loss: 0.0311681 | Time: 3883.18 ms [2021-04-25 18:01:42 main:574] : INFO : Epoch 129 | loss: 0.0311536 | val_loss: 0.031183 | Time: 3906.33 ms [2021-04-25 18:01:46 main:574] : INFO : Epoch 130 | loss: 0.0311574 | val_loss: 0.0311698 | Time: 3880.88 ms [2021-04-25 18:01:50 main:574] : INFO : Epoch 131 | loss: 0.0311504 | val_loss: 0.0311673 | Time: 3893.19 ms [2021-04-25 18:01:53 main:574] : INFO : Epoch 132 | loss: 0.0311498 | val_loss: 0.031171 | Time: 3916 ms [2021-04-25 18:01:57 main:574] : INFO : Epoch 133 | loss: 0.0311493 | val_loss: 0.0311691 | Time: 3904.78 ms [2021-04-25 18:02:01 main:574] : INFO : Epoch 134 | loss: 0.0311476 | val_loss: 0.0311697 | Time: 3923.5 ms [2021-04-25 18:02:06 main:574] : INFO : Epoch 135 | loss: 0.0311456 | val_loss: 0.0311742 | Time: 4770.87 ms [2021-04-25 18:02:10 main:574] : INFO : Epoch 136 | loss: 0.03116 | val_loss: 0.031174 | Time: 4165.08 ms [2021-04-25 18:02:14 main:574] : INFO : Epoch 137 | loss: 0.0311585 | val_loss: 0.0311718 | Time: 3932.97 ms [2021-04-25 18:02:18 main:574] : INFO : Epoch 138 | loss: 0.0311554 | val_loss: 0.0311682 | Time: 4007.3 ms [2021-04-25 18:02:22 main:574] : INFO : Epoch 139 | loss: 0.0311542 | val_loss: 0.0311696 | Time: 3915.63 ms [2021-04-25 18:02:26 main:574] : INFO : Epoch 140 | loss: 0.0311519 | val_loss: 0.0311721 | Time: 3926.66 ms [2021-04-25 18:02:30 main:574] : INFO : Epoch 141 | loss: 0.0311504 | val_loss: 0.0311687 | Time: 3950.18 ms [2021-04-25 18:02:34 main:574] : INFO : Epoch 142 | loss: 0.0311506 | val_loss: 0.0311714 | Time: 3958.04 ms [2021-04-25 18:02:38 main:574] : INFO : Epoch 143 | loss: 0.0311516 | val_loss: 0.0311764 | Time: 4107.47 ms [2021-04-25 18:02:42 main:574] : INFO : Epoch 144 | loss: 0.0311528 | val_loss: 0.0311684 | Time: 3902.5 ms [2021-04-25 18:02:46 main:574] : INFO : Epoch 145 | loss: 0.0311489 | val_loss: 0.0311731 | Time: 4105.77 ms [2021-04-25 18:02:50 main:574] : INFO : Epoch 146 | loss: 0.031147 | val_loss: 0.0311691 | Time: 4018 ms [2021-04-25 18:02:54 main:574] : INFO : Epoch 147 | loss: 0.031147 | val_loss: 0.0311695 | Time: 4004.16 ms [2021-04-25 18:02:58 main:574] : INFO : Epoch 148 | loss: 0.0311462 | val_loss: 0.03117 | Time: 3926.08 ms [2021-04-25 18:03:02 main:574] : INFO : Epoch 149 | loss: 0.0311476 | val_loss: 0.0311761 | Time: 3991.25 ms [2021-04-25 18:03:06 main:574] : INFO : Epoch 150 | loss: 0.031149 | val_loss: 0.0311705 | Time: 3921.3 ms [2021-04-25 18:03:10 main:574] : INFO : Epoch 151 | loss: 0.0311474 | val_loss: 0.0311698 | Time: 3884.58 ms [2021-04-25 18:03:14 main:574] : INFO : Epoch 152 | loss: 0.0311502 | val_loss: 0.0311695 | Time: 4015.51 ms [2021-04-25 18:03:18 main:574] : INFO : Epoch 153 | loss: 0.0311464 | val_loss: 0.0311717 | Time: 3898.27 ms [2021-04-25 18:03:22 main:574] : INFO : Epoch 154 | loss: 0.0311471 | val_loss: 0.0311752 | Time: 3922.74 ms [2021-04-25 18:03:26 main:574] : INFO : Epoch 155 | loss: 0.0311469 | val_loss: 0.0311716 | Time: 4018.74 ms [2021-04-25 18:03:30 main:574] : INFO : Epoch 156 | loss: 0.0311464 | val_loss: 0.0311721 | Time: 3920.92 ms [2021-04-25 18:03:34 main:574] : INFO : Epoch 157 | loss: 0.0311503 | val_loss: 0.0311694 | Time: 3938.2 ms [2021-04-25 18:03:38 main:574] : INFO : Epoch 158 | loss: 0.0311527 | val_loss: 0.031178 | Time: 3877.01 ms [2021-04-25 18:03:42 main:574] : INFO : Epoch 159 | loss: 0.0311682 | val_loss: 0.0311678 | Time: 3982.59 ms Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: GeForce GTX 1650) [2021-04-25 18:10:45 main:435] : INFO : Set logging level to 1 [2021-04-25 18:10:45 main:441] : INFO : Running in BOINC Client mode [2021-04-25 18:10:45 main:444] : INFO : Resolving all filenames [2021-04-25 18:10:45 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 (exists = 1) [2021-04-25 18:10:46 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/ParityMachine-1617242566-18593-2_3_r1771356507_1 (exists = 1) [2021-04-25 18:10:46 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/ParityMachine-1617242566-18593-2_3_r1771356507_0 (exists = 0) [2021-04-25 18:10:46 main:452] : INFO : Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/ParityMachine-1617242566-18593-2 (exists = 1) [2021-04-25 18:10:46 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1) [2021-04-25 18:10:46 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 [2021-04-25 18:10:46 main:474] : INFO : Configuration: [2021-04-25 18:10:46 main:475] : INFO : Model type: GRU [2021-04-25 18:10:46 main:476] : INFO : Validation Loss Threshold: 0.0001 [2021-04-25 18:10:46 main:477] : INFO : Max Epochs: 2048 [2021-04-25 18:10:46 main:478] : INFO : Batch Size: 128 [2021-04-25 18:10:46 main:479] : INFO : Learning Rate: 0.01 [2021-04-25 18:10:46 main:480] : INFO : Patience: 10 [2021-04-25 18:10:46 main:481] : INFO : Hidden Width: 12 [2021-04-25 18:10:46 main:482] : INFO : # Recurrent Layers: 4 [2021-04-25 18:10:46 main:483] : INFO : # Backend Layers: 4 [2021-04-25 18:10:46 main:484] : INFO : # Threads: 1 [2021-04-25 18:10:46 main:486] : INFO : Preparing Dataset [2021-04-25 18:10:46 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 into memory [2021-04-25 18:10:47 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 into memory [2021-04-25 18:10:53 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2021-04-25 18:10:53 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 into memory [2021-04-25 18:10:53 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 into memory [2021-04-25 18:10:53 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2021-04-25 18:10:53 main:494] : INFO : Creating Model [2021-04-25 18:10:53 main:507] : INFO : Preparing config file [2021-04-25 18:10:53 main:511] : INFO : Found checkpoint, attempting to load... [2021-04-25 18:10:53 main:512] : INFO : Loading config [2021-04-25 18:10:53 main:514] : INFO : Loading state [2021-04-25 18:11:00 main:559] : INFO : Loading DataLoader into Memory [2021-04-25 18:11:00 main:562] : INFO : Starting Training [2021-04-25 18:11:08 main:574] : INFO : Epoch 82 | loss: 0.0312318 | val_loss: 0.0311847 | Time: 7509.01 ms [2021-04-25 18:11:12 main:574] : INFO : Epoch 83 | loss: 0.0311672 | val_loss: 0.0311748 | Time: 4182.39 ms [2021-04-25 18:11:16 main:574] : INFO : Epoch 84 | loss: 0.0311611 | val_loss: 0.0311695 | Time: 4049.27 ms [2021-04-25 18:11:20 main:574] : INFO : Epoch 85 | loss: 0.0311585 | val_loss: 0.0311661 | Time: 4215.43 ms [2021-04-25 18:11:24 main:574] : INFO : Epoch 86 | loss: 0.0311564 | val_loss: 0.0311673 | Time: 3979.01 ms [2021-04-25 18:11:28 main:574] : INFO : Epoch 87 | loss: 0.031158 | val_loss: 0.0311646 | Time: 4008.79 ms [2021-04-25 18:11:32 main:574] : INFO : Epoch 88 | loss: 0.0311581 | val_loss: 0.0311672 | Time: 4261.56 ms [2021-04-25 18:11:37 main:574] : INFO : Epoch 89 | loss: 0.0311566 | val_loss: 0.0311662 | Time: 4484.51 ms [2021-04-25 18:11:41 main:574] : INFO : Epoch 90 | loss: 0.0311573 | val_loss: 0.031165 | Time: 4042.35 ms [2021-04-25 18:11:45 main:574] : INFO : Epoch 91 | loss: 0.0311539 | val_loss: 0.0311662 | Time: 4008.48 ms [2021-04-25 18:11:49 main:574] : INFO : Epoch 92 | loss: 0.0311527 | val_loss: 0.0311649 | Time: 4117.12 ms [2021-04-25 18:11:53 main:574] : INFO : Epoch 93 | loss: 0.031156 | val_loss: 0.0311666 | Time: 4248.63 ms [2021-04-25 18:11:58 main:574] : INFO : Epoch 94 | loss: 0.0311541 | val_loss: 0.031165 | Time: 4241.79 ms [2021-04-25 18:12:02 main:574] : INFO : Epoch 95 | loss: 0.0311523 | val_loss: 0.0311726 | Time: 4069.85 ms [2021-04-25 18:12:06 main:574] : INFO : Epoch 96 | loss: 0.0312225 | val_loss: 0.0312613 | Time: 3963.08 ms [2021-04-25 18:12:10 main:574] : INFO : Epoch 97 | loss: 0.0312707 | val_loss: 0.0312488 | Time: 3982.26 ms [2021-04-25 18:12:14 main:574] : INFO : Epoch 98 | loss: 0.0312367 | val_loss: 0.031227 | Time: 3988.25 ms [2021-04-25 18:12:18 main:574] : INFO : Epoch 99 | loss: 0.0312165 | val_loss: 0.0312064 | Time: 3978.72 ms [2021-04-25 18:12:22 main:574] : INFO : Epoch 100 | loss: 0.0311989 | val_loss: 0.0311972 | Time: 3927.35 ms [2021-04-25 18:12:26 main:574] : INFO : Epoch 101 | loss: 0.0311869 | val_loss: 0.0311799 | Time: 3986.43 ms [2021-04-25 18:12:30 main:574] : INFO : Epoch 102 | loss: 0.0311791 | val_loss: 0.0311781 | Time: 3973.47 ms [2021-04-25 18:12:33 main:574] : INFO : Epoch 103 | loss: 0.0311747 | val_loss: 0.0311705 | Time: 3938.29 ms [2021-04-25 18:12:37 main:574] : INFO : Epoch 104 | loss: 0.0311723 | val_loss: 0.0311721 | Time: 3961.76 ms [2021-04-25 18:12:41 main:574] : INFO : Epoch 105 | loss: 0.031172 | val_loss: 0.03117 | Time: 3969.87 ms [2021-04-25 18:12:45 main:574] : INFO : Epoch 106 | loss: 0.0311685 | val_loss: 0.0311686 | Time: 3995.15 ms [2021-04-25 18:12:49 main:574] : INFO : Epoch 107 | loss: 0.0311649 | val_loss: 0.0311722 | Time: 3980.41 ms [2021-04-25 18:12:53 main:574] : INFO : Epoch 108 | loss: 0.0311643 | val_loss: 0.0311683 | Time: 3996.74 ms [2021-04-25 18:12:57 main:574] : INFO : Epoch 109 | loss: 0.0311631 | val_loss: 0.0311673 | Time: 3987.34 ms [2021-04-25 18:13:01 main:574] : INFO : Epoch 110 | loss: 0.0311647 | val_loss: 0.0311681 | Time: 3986.04 ms [2021-04-25 18:13:05 main:574] : INFO : Epoch 111 | loss: 0.0311671 | val_loss: 0.0311758 | Time: 3940.78 ms [2021-04-25 18:13:09 main:574] : INFO : Epoch 112 | loss: 0.0311648 | val_loss: 0.0311688 | Time: 3997.11 ms [2021-04-25 18:13:13 main:574] : INFO : Epoch 113 | loss: 0.0311641 | val_loss: 0.0311765 | Time: 3934.27 ms [2021-04-25 18:13:17 main:574] : INFO : Epoch 114 | loss: 0.0311641 | val_loss: 0.0311666 | Time: 3942.85 ms [2021-04-25 18:13:22 main:574] : INFO : Epoch 115 | loss: 0.0311698 | val_loss: 0.0311931 | Time: 4661.7 ms [2021-04-25 18:13:26 main:574] : INFO : Epoch 116 | loss: 0.031178 | val_loss: 0.0311791 | Time: 3988.6 ms [2021-04-25 18:13:30 main:574] : INFO : Epoch 117 | loss: 0.0311702 | val_loss: 0.0311731 | Time: 3950.96 ms [2021-04-25 18:13:34 main:574] : INFO : Epoch 118 | loss: 0.031169 | val_loss: 0.031171 | Time: 4016.65 ms [2021-04-25 18:13:38 main:574] : INFO : Epoch 119 | loss: 0.0311641 | val_loss: 0.0311693 | Time: 3960.66 ms [2021-04-25 18:13:42 main:574] : INFO : Epoch 120 | loss: 0.0311612 | val_loss: 0.0311705 | Time: 3947.32 ms [2021-04-25 18:13:46 main:574] : INFO : Epoch 121 | loss: 0.0311626 | val_loss: 0.0311744 | Time: 3979.89 ms [2021-04-25 18:13:50 main:574] : INFO : Epoch 122 | loss: 0.0311587 | val_loss: 0.0311719 | Time: 4000.1 ms [2021-04-25 18:13:54 main:574] : INFO : Epoch 123 | loss: 0.0311582 | val_loss: 0.0311686 | Time: 4025.35 ms [2021-04-25 18:13:58 main:574] : INFO : Epoch 124 | loss: 0.0311569 | val_loss: 0.0311675 | Time: 3997.66 ms [2021-04-25 18:14:02 main:574] : INFO : Epoch 125 | loss: 0.0311585 | val_loss: 0.0311709 | Time: 3947.38 ms [2021-04-25 18:14:06 main:574] : INFO : Epoch 126 | loss: 0.0311555 | val_loss: 0.0311699 | Time: 3970.63 ms [2021-04-25 18:14:10 main:574] : INFO : Epoch 127 | loss: 0.0311548 | val_loss: 0.0311678 | Time: 4089.03 ms [2021-04-25 18:14:14 main:574] : INFO : Epoch 128 | loss: 0.0311535 | val_loss: 0.0311671 | Time: 3978.48 ms [2021-04-25 18:14:18 main:574] : INFO : Epoch 129 | loss: 0.0311538 | val_loss: 0.03117 | Time: 3982.39 ms [2021-04-25 18:14:22 main:574] : INFO : Epoch 130 | loss: 0.0311533 | val_loss: 0.0311674 | Time: 4027.1 ms [2021-04-25 18:14:26 main:574] : INFO : Epoch 131 | loss: 0.031153 | val_loss: 0.0311692 | Time: 3961.21 ms [2021-04-25 18:14:30 main:574] : INFO : Epoch 132 | loss: 0.0311525 | val_loss: 0.0311669 | Time: 4040.88 ms [2021-04-25 18:14:34 main:574] : INFO : Epoch 133 | loss: 0.0311519 | val_loss: 0.0311673 | Time: 3946.19 ms [2021-04-25 18:14:38 main:574] : INFO : Epoch 134 | loss: 0.0311512 | val_loss: 0.031167 | Time: 3972.07 ms [2021-04-25 18:14:42 main:574] : INFO : Epoch 135 | loss: 0.0311517 | val_loss: 0.0311667 | Time: 3964.93 ms [2021-04-25 18:14:46 main:574] : INFO : Epoch 136 | loss: 0.0311513 | val_loss: 0.0311681 | Time: 3989.33 ms [2021-04-25 18:14:50 main:574] : INFO : Epoch 137 | loss: 0.0311507 | val_loss: 0.0311669 | Time: 3979.58 ms [2021-04-25 18:14:54 main:574] : INFO : Epoch 138 | loss: 0.0311491 | val_loss: 0.0311666 | Time: 4131.96 ms [2021-04-25 18:14:58 main:574] : INFO : Epoch 139 | loss: 0.0311498 | val_loss: 0.0311664 | Time: 4134.63 ms [2021-04-25 18:15:02 main:574] : INFO : Epoch 140 | loss: 0.0311492 | val_loss: 0.0311664 | Time: 4148.66 ms [2021-04-25 18:15:06 main:574] : INFO : Epoch 141 | loss: 0.0311485 | val_loss: 0.0311662 | Time: 4158.21 ms [2021-04-25 18:15:10 main:574] : INFO : Epoch 142 | loss: 0.0311492 | val_loss: 0.0311695 | Time: 3980.85 ms [2021-04-25 18:15:15 main:574] : INFO : Epoch 143 | loss: 0.0311486 | val_loss: 0.0311666 | Time: 4110.03 ms [2021-04-25 18:15:19 main:574] : INFO : Epoch 144 | loss: 0.0311494 | val_loss: 0.0311662 | Time: 4095 ms [2021-04-25 18:15:23 main:574] : INFO : Epoch 145 | loss: 0.0311597 | val_loss: 0.0311973 | Time: 3982.08 ms [2021-04-25 18:15:27 main:574] : INFO : Epoch 146 | loss: 0.0311947 | val_loss: 0.0311873 | Time: 3968.09 ms [2021-04-25 18:15:31 main:574] : INFO : Epoch 147 | loss: 0.031186 | val_loss: 0.0311794 | Time: 3904.95 ms [2021-04-25 18:15:34 main:574] : INFO : Epoch 148 | loss: 0.0311756 | val_loss: 0.0311777 | Time: 3947.43 ms [2021-04-25 18:15:38 main:574] : INFO : Epoch 149 | loss: 0.0311706 | val_loss: 0.0311728 | Time: 3992.9 ms [2021-04-25 18:15:42 main:574] : INFO : Epoch 150 | loss: 0.0311666 | val_loss: 0.0311711 | Time: 3955.69 ms [2021-04-25 18:15:46 main:574] : INFO : Epoch 151 | loss: 0.0311651 | val_loss: 0.0311738 | Time: 3990.31 ms [2021-04-25 18:15:50 main:574] : INFO : Epoch 152 | loss: 0.0311658 | val_loss: 0.0311747 | Time: 3959.69 ms [2021-04-25 18:15:54 main:574] : INFO : Epoch 153 | loss: 0.0311657 | val_loss: 0.031172 | Time: 3974.61 ms [2021-04-25 18:15:58 main:574] : INFO : Epoch 154 | loss: 0.0311629 | val_loss: 0.0311686 | Time: 3976.15 ms [2021-04-25 18:16:02 main:574] : INFO : Epoch 155 | loss: 0.0311621 | val_loss: 0.0311688 | Time: 3968.13 ms [2021-04-25 18:16:06 main:574] : INFO : Epoch 156 | loss: 0.031159 | val_loss: 0.0311695 | Time: 3946.35 ms [2021-04-25 18:16:10 main:574] : INFO : Epoch 157 | loss: 0.0311585 | val_loss: 0.0311668 | Time: 3968.61 ms [2021-04-25 18:16:14 main:574] : INFO : Epoch 158 | loss: 0.0311583 | val_loss: 0.0311674 | Time: 3946.29 ms [2021-04-25 18:16:18 main:574] : INFO : Epoch 159 | loss: 0.0311573 | val_loss: 0.0311666 | Time: 3970.51 ms [2021-04-25 18:16:22 main:574] : INFO : Epoch 160 | loss: 0.0311575 | val_loss: 0.0311669 | Time: 4035.58 ms [2021-04-25 18:16:26 main:574] : INFO : Epoch 161 | loss: 0.0311559 | val_loss: 0.0311663 | Time: 4013.85 ms [2021-04-25 18:16:30 main:574] : INFO : Epoch 162 | loss: 0.0311549 | val_loss: 0.0311667 | Time: 3968.82 ms [2021-04-25 18:16:35 main:574] : INFO : Epoch 163 | loss: 0.0311553 | val_loss: 0.0311663 | Time: 4585.98 ms [2021-04-25 18:16:41 main:574] : INFO : Epoch 164 | loss: 0.0311543 | val_loss: 0.0311666 | Time: 6426.14 ms [2021-04-25 18:16:50 main:574] : INFO : Epoch 165 | loss: 0.0311547 | val_loss: 0.031167 | Time: 9093.01 ms [2021-04-25 18:16:56 main:574] : INFO : Epoch 166 | loss: 0.0311545 | val_loss: 0.0311659 | Time: 5848.29 ms [2021-04-25 18:17:00 main:574] : INFO : Epoch 167 | loss: 0.0311559 | val_loss: 0.0311762 | Time: 4157.97 ms [2021-04-25 18:17:05 main:574] : INFO : Epoch 168 | loss: 0.031181 | val_loss: 0.0311862 | Time: 4016.13 ms [2021-04-25 18:17:08 main:574] : INFO : Epoch 169 | loss: 0.0311814 | val_loss: 0.0311802 | Time: 3925.81 ms [2021-04-25 18:17:12 main:574] : INFO : Epoch 170 | loss: 0.0311774 | val_loss: 0.0311794 | Time: 3955.99 ms [2021-04-25 18:17:16 main:574] : INFO : Epoch 171 | loss: 0.0311758 | val_loss: 0.0311743 | Time: 3979.59 ms Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: GeForce GTX 1650) [2021-04-25 18:20:47 main:435] : INFO : Set logging level to 1 [2021-04-25 18:20:47 main:441] : INFO : Running in BOINC Client mode [2021-04-25 18:20:47 main:444] : INFO : Resolving all filenames [2021-04-25 18:20:47 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 (exists = 1) [2021-04-25 18:20:47 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/ParityMachine-1617242566-18593-2_3_r1771356507_1 (exists = 1) [2021-04-25 18:20:47 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/ParityMachine-1617242566-18593-2_3_r1771356507_0 (exists = 0) [2021-04-25 18:20:47 main:452] : INFO : Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/ParityMachine-1617242566-18593-2 (exists = 1) [2021-04-25 18:20:47 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1) [2021-04-25 18:20:47 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 [2021-04-25 18:20:47 main:474] : INFO : Configuration: [2021-04-25 18:20:47 main:475] : INFO : Model type: GRU [2021-04-25 18:20:47 main:476] : INFO : Validation Loss Threshold: 0.0001 [2021-04-25 18:20:47 main:477] : INFO : Max Epochs: 2048 [2021-04-25 18:20:47 main:478] : INFO : Batch Size: 128 [2021-04-25 18:20:47 main:479] : INFO : Learning Rate: 0.01 [2021-04-25 18:20:47 main:480] : INFO : Patience: 10 [2021-04-25 18:20:47 main:481] : INFO : Hidden Width: 12 [2021-04-25 18:20:47 main:482] : INFO : # Recurrent Layers: 4 [2021-04-25 18:20:47 main:483] : INFO : # Backend Layers: 4 [2021-04-25 18:20:47 main:484] : INFO : # Threads: 1 [2021-04-25 18:20:47 main:486] : INFO : Preparing Dataset [2021-04-25 18:20:47 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/ParityMachine-train-val-dataset.hdf5 into memory </stderr_txt> ]]>
©2022 MLC@Home Team
A project of the Cognition, Robotics, and Learning (CORAL) Lab at the University of Maryland, Baltimore County (UMBC)