Task 2944141
| Name | rand_automata_0077-1605425776-32339-0_0 |
| Workunit | 1327852 |
| Created | 15 Nov 2020, 7:36:19 UTC |
| Sent | 18 Nov 2020, 8:23:20 UTC |
| Report deadline | 26 Nov 2020, 8:23:20 UTC |
| Received | 18 Nov 2020, 8:54:16 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 3682 |
| Run time | 15 min 8 sec |
| CPU time | 13 min 50 sec |
| Validate state | Valid |
| Credit | 959.40 |
| Device peak FLOPS | 11,978.66 GFLOPS |
| Application version | Machine Learning Dataset Generator (GPU) v9.75 (cuda10200) windows_x86_64 |
| Peak working set size | 1.49 GB |
| Peak swap size | 3.25 GB |
| Peak disk usage | 1.54 GB |
Stderr output
<core_client_version>7.16.5</core_client_version> <![CDATA[ <stderr_txt> Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: GeForce GTX 1080 Ti) [2020-11-18 03:26:29 main:435] : INFO : Set logging level to 1 [2020-11-18 03:26:29 main:441] : INFO : Running in BOINC Client mode [2020-11-18 03:26:29 main:444] : INFO : Resolving all filenames [2020-11-18 03:26:29 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0077-train-val-dataset.hdf5 (exists = 1) [2020-11-18 03:26:29 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0077-1605425776-32339-0_0_r1604801227_1 (exists = 0) [2020-11-18 03:26:30 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0077-1605425776-32339-0_0_r1604801227_0 (exists = 0) [2020-11-18 03:26:30 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 0) [2020-11-18 03:26:30 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-18 03:26:30 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/rand_automata_0077-train-val-dataset.hdf5 [2020-11-18 03:26:30 main:474] : INFO : Configuration: [2020-11-18 03:26:30 main:475] : INFO : Model type: LSTM [2020-11-18 03:26:30 main:476] : INFO : Validation Loss Threshold: 0.0001 [2020-11-18 03:26:30 main:477] : INFO : Max Epochs: 192 [2020-11-18 03:26:30 main:478] : INFO : Batch Size: 32 [2020-11-18 03:26:30 main:479] : INFO : Learning Rate: 0.001 [2020-11-18 03:26:30 main:480] : INFO : Patience: 10 [2020-11-18 03:26:30 main:481] : INFO : Hidden Width: 64 [2020-11-18 03:26:30 main:482] : INFO : # Recurrent Layers: 4 [2020-11-18 03:26:30 main:483] : INFO : # Backend Layers: 2 [2020-11-18 03:26:30 main:484] : INFO : # Threads: 1 [2020-11-18 03:26:30 main:486] : INFO : Preparing Dataset [2020-11-18 03:26:30 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0077-train-val-dataset.hdf5 into memory [2020-11-18 03:26:30 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0077-train-val-dataset.hdf5 into memory [2020-11-18 03:26:33 load:106] : INFO : Successfully loaded dataset of 4096 examples into memory. [2020-11-18 03:26:33 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0077-train-val-dataset.hdf5 into memory [2020-11-18 03:26:33 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0077-train-val-dataset.hdf5 into memory [2020-11-18 03:26:33 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-18 03:26:33 main:494] : INFO : Creating Model [2020-11-18 03:26:33 main:507] : INFO : Preparing config file [2020-11-18 03:26:33 main:519] : INFO : Creating new config file [2020-11-18 03:26:34 main:559] : INFO : Loading DataLoader into Memory [2020-11-18 03:26:34 main:562] : INFO : Starting Training [2020-11-18 03:26:39 main:574] : INFO : Epoch 1 | loss: 0.0661818 | val_loss: 0.0658209 | Time: 4957.31 ms [2020-11-18 03:26:44 main:574] : INFO : Epoch 2 | loss: 0.0648596 | val_loss: 0.0628498 | Time: 4495.44 ms [2020-11-18 03:26:48 main:574] : INFO : Epoch 3 | loss: 0.0614792 | val_loss: 0.0597766 | Time: 4527.18 ms [2020-11-18 03:26:53 main:574] : INFO : Epoch 4 | loss: 0.0577281 | val_loss: 0.0560876 | Time: 4463.56 ms [2020-11-18 03:26:58 main:574] : INFO : Epoch 5 | loss: 0.0549312 | val_loss: 0.0540578 | Time: 4485.12 ms [2020-11-18 03:27:02 main:574] : INFO : Epoch 6 | loss: 0.0531697 | val_loss: 0.0526498 | Time: 4469.36 ms [2020-11-18 03:27:07 main:574] : INFO : Epoch 7 | loss: 0.0517107 | val_loss: 0.0512611 | Time: 4528.29 ms [2020-11-18 03:27:11 main:574] : INFO : Epoch 8 | loss: 0.0504508 | val_loss: 0.0500966 | Time: 4496.87 ms [2020-11-18 03:27:16 main:574] : INFO : Epoch 9 | loss: 0.049286 | val_loss: 0.0489619 | Time: 4473.47 ms [2020-11-18 03:27:21 main:574] : INFO : Epoch 10 | loss: 0.0481053 | val_loss: 0.0479416 | Time: 4994.99 ms [2020-11-18 03:27:25 main:574] : INFO : Epoch 11 | loss: 0.0468237 | val_loss: 0.0465691 | Time: 4383.58 ms [2020-11-18 03:27:30 main:574] : INFO : Epoch 12 | loss: 0.0454762 | val_loss: 0.0454215 | Time: 4480.73 ms [2020-11-18 03:27:34 main:574] : INFO : Epoch 13 | loss: 0.0439111 | val_loss: 0.0437806 | Time: 4535.52 ms [2020-11-18 03:27:39 main:574] : INFO : Epoch 14 | loss: 0.0421677 | val_loss: 0.0420817 | Time: 4470.54 ms [2020-11-18 03:27:44 main:574] : INFO : Epoch 15 | loss: 0.0401641 | val_loss: 0.0400588 | Time: 4495.88 ms [2020-11-18 03:27:49 main:574] : INFO : Epoch 16 | loss: 0.0379329 | val_loss: 0.0378721 | Time: 4510.87 ms [2020-11-18 03:27:53 main:574] : INFO : Epoch 17 | loss: 0.0355463 | val_loss: 0.0358305 | Time: 4487.48 ms [2020-11-18 03:27:58 main:574] : INFO : Epoch 18 | loss: 0.0330774 | val_loss: 0.0334157 | Time: 4478.55 ms [2020-11-18 03:28:02 main:574] : INFO : Epoch 19 | loss: 0.0306871 | val_loss: 0.0307985 | Time: 4426.77 ms [2020-11-18 03:28:07 main:574] : INFO : Epoch 20 | loss: 0.0278469 | val_loss: 0.0286001 | Time: 4523.3 ms [2020-11-18 03:28:11 main:574] : INFO : Epoch 21 | loss: 0.0255062 | val_loss: 0.0263981 | Time: 4532.71 ms [2020-11-18 03:28:16 main:574] : INFO : Epoch 22 | loss: 0.0312871 | val_loss: 0.0259078 | Time: 4483.83 ms [2020-11-18 03:28:20 main:574] : INFO : Epoch 23 | loss: 0.0317736 | val_loss: 0.0357581 | Time: 4493.47 ms [2020-11-18 03:28:25 main:574] : INFO : Epoch 24 | loss: 0.0236399 | val_loss: 0.0219108 | Time: 4488.08 ms [2020-11-18 03:28:30 main:574] : INFO : Epoch 25 | loss: 0.02108 | val_loss: 0.0186901 | Time: 4518.92 ms [2020-11-18 03:28:34 main:574] : INFO : Epoch 26 | loss: 0.018848 | val_loss: 0.0169947 | Time: 4482.75 ms [2020-11-18 03:28:39 main:574] : INFO : Epoch 27 | loss: 0.01794 | val_loss: 0.0300922 | Time: 4503.99 ms [2020-11-18 03:28:43 main:574] : INFO : Epoch 28 | loss: 0.0185654 | val_loss: 0.0332061 | Time: 4506.69 ms [2020-11-18 03:28:48 main:574] : INFO : Epoch 29 | loss: 0.0173276 | val_loss: 0.0180795 | Time: 4511.81 ms [2020-11-18 03:28:53 main:574] : INFO : Epoch 30 | loss: 0.0150316 | val_loss: 0.0135176 | Time: 4498.7 ms [2020-11-18 03:28:57 main:574] : INFO : Epoch 31 | loss: 0.0118005 | val_loss: 0.011879 | Time: 4500.16 ms [2020-11-18 03:29:02 main:574] : INFO : Epoch 32 | loss: 0.0113415 | val_loss: 0.010883 | Time: 4508.46 ms [2020-11-18 03:29:06 main:574] : INFO : Epoch 33 | loss: 0.0101083 | val_loss: 0.00965041 | Time: 4432.73 ms [2020-11-18 03:29:11 main:574] : INFO : Epoch 34 | loss: 0.00896848 | val_loss: 0.00907376 | Time: 4489.38 ms [2020-11-18 03:29:15 main:574] : INFO : Epoch 35 | loss: 0.00905293 | val_loss: 0.00961756 | Time: 4529.75 ms [2020-11-18 03:29:20 main:574] : INFO : Epoch 36 | loss: 0.0084931 | val_loss: 0.0082773 | Time: 4485.54 ms [2020-11-18 03:29:24 main:574] : INFO : Epoch 37 | loss: 0.0079503 | val_loss: 0.00938815 | Time: 4482.31 ms [2020-11-18 03:29:29 main:574] : INFO : Epoch 38 | loss: 0.00853204 | val_loss: 0.00777923 | Time: 4454.87 ms [2020-11-18 03:29:33 main:574] : INFO : Epoch 39 | loss: 0.00761191 | val_loss: 0.0104714 | Time: 4540.8 ms [2020-11-18 03:29:38 main:574] : INFO : Epoch 40 | loss: 0.00887933 | val_loss: 0.00741801 | Time: 4473.01 ms [2020-11-18 03:29:43 main:574] : INFO : Epoch 41 | loss: 0.0067195 | val_loss: 0.00667884 | Time: 4535.63 ms [2020-11-18 03:29:47 main:574] : INFO : Epoch 42 | loss: 0.00633461 | val_loss: 0.00640075 | Time: 4586.19 ms [2020-11-18 03:29:52 main:574] : INFO : Epoch 43 | loss: 0.00607924 | val_loss: 0.00613482 | Time: 4507.93 ms [2020-11-18 03:29:57 main:574] : INFO : Epoch 44 | loss: 0.00580434 | val_loss: 0.00589563 | Time: 4514.11 ms [2020-11-18 03:30:01 main:574] : INFO : Epoch 45 | loss: 0.00558696 | val_loss: 0.00562451 | Time: 4521.92 ms [2020-11-18 03:30:06 main:574] : INFO : Epoch 46 | loss: 0.00537922 | val_loss: 0.00541645 | Time: 4446.91 ms [2020-11-18 03:30:10 main:574] : INFO : Epoch 47 | loss: 0.0051889 | val_loss: 0.00521143 | Time: 4522.4 ms [2020-11-18 03:30:15 main:574] : INFO : Epoch 48 | loss: 0.00499278 | val_loss: 0.00504792 | Time: 4503.97 ms [2020-11-18 03:30:19 main:574] : INFO : Epoch 49 | loss: 0.00484212 | val_loss: 0.00482489 | Time: 4486.13 ms [2020-11-18 03:30:24 main:574] : INFO : Epoch 50 | loss: 0.00462208 | val_loss: 0.00465206 | Time: 4834.14 ms [2020-11-18 03:30:29 main:574] : INFO : Epoch 51 | loss: 0.0044375 | val_loss: 0.00446003 | Time: 4503.48 ms [2020-11-18 03:30:33 main:574] : INFO : Epoch 52 | loss: 0.00426358 | val_loss: 0.00428232 | Time: 4457.73 ms [2020-11-18 03:30:38 main:574] : INFO : Epoch 53 | loss: 0.00409367 | val_loss: 0.00409969 | Time: 4558.5 ms [2020-11-18 03:30:43 main:574] : INFO : Epoch 54 | loss: 0.00393188 | val_loss: 0.00392717 | Time: 4465.88 ms [2020-11-18 03:30:47 main:574] : INFO : Epoch 55 | loss: 0.00376819 | val_loss: 0.00376558 | Time: 4468.74 ms [2020-11-18 03:30:52 main:574] : INFO : Epoch 56 | loss: 0.00361094 | val_loss: 0.00360618 | Time: 4461.39 ms [2020-11-18 03:30:56 main:574] : INFO : Epoch 57 | loss: 0.00347096 | val_loss: 0.003559 | Time: 4484.75 ms [2020-11-18 03:31:01 main:574] : INFO : Epoch 58 | loss: 0.00332943 | val_loss: 0.00330763 | Time: 4498.74 ms [2020-11-18 03:31:05 main:574] : INFO : Epoch 59 | loss: 0.00317158 | val_loss: 0.00316824 | Time: 4479.94 ms [2020-11-18 03:31:10 main:574] : INFO : Epoch 60 | loss: 0.00303492 | val_loss: 0.00302802 | Time: 4459.19 ms [2020-11-18 03:31:15 main:574] : INFO : Epoch 61 | loss: 0.00290347 | val_loss: 0.00289589 | Time: 4563.39 ms [2020-11-18 03:31:19 main:574] : INFO : Epoch 62 | loss: 0.00278074 | val_loss: 0.00276942 | Time: 4576.85 ms [2020-11-18 03:31:24 main:574] : INFO : Epoch 63 | loss: 0.00265341 | val_loss: 0.00264393 | Time: 4488.02 ms [2020-11-18 03:31:28 main:574] : INFO : Epoch 64 | loss: 0.00254123 | val_loss: 0.00253018 | Time: 4458.14 ms [2020-11-18 03:31:33 main:574] : INFO : Epoch 65 | loss: 0.002424 | val_loss: 0.00241754 | Time: 4468.85 ms [2020-11-18 03:31:37 main:574] : INFO : Epoch 66 | loss: 0.00231564 | val_loss: 0.00230854 | Time: 4471.14 ms [2020-11-18 03:31:42 main:574] : INFO : Epoch 67 | loss: 0.00221118 | val_loss: 0.00220367 | Time: 4442.33 ms [2020-11-18 03:31:46 main:574] : INFO : Epoch 68 | loss: 0.00211114 | val_loss: 0.00210328 | Time: 4492.12 ms [2020-11-18 03:31:51 main:574] : INFO : Epoch 69 | loss: 0.00201476 | val_loss: 0.0020068 | Time: 4492.21 ms [2020-11-18 03:31:56 main:574] : INFO : Epoch 70 | loss: 0.00192392 | val_loss: 0.00191854 | Time: 4547.4 ms [2020-11-18 03:32:00 main:574] : INFO : Epoch 71 | loss: 0.00183511 | val_loss: 0.00182459 | Time: 4459.6 ms [2020-11-18 03:32:05 main:574] : INFO : Epoch 72 | loss: 0.00175097 | val_loss: 0.00174162 | Time: 4525.7 ms [2020-11-18 03:32:09 main:574] : INFO : Epoch 73 | loss: 0.00166962 | val_loss: 0.00166445 | Time: 4456.37 ms [2020-11-18 03:32:14 main:574] : INFO : Epoch 74 | loss: 0.00159312 | val_loss: 0.00158435 | Time: 4491.68 ms [2020-11-18 03:32:18 main:574] : INFO : Epoch 75 | loss: 0.00151902 | val_loss: 0.00151105 | Time: 4525.73 ms [2020-11-18 03:32:23 main:574] : INFO : Epoch 76 | loss: 0.00144828 | val_loss: 0.00144453 | Time: 4462.21 ms [2020-11-18 03:32:27 main:574] : INFO : Epoch 77 | loss: 0.00138067 | val_loss: 0.00137594 | Time: 4460.2 ms [2020-11-18 03:32:32 main:574] : INFO : Epoch 78 | loss: 0.00131604 | val_loss: 0.00130753 | Time: 4487.89 ms [2020-11-18 03:32:37 main:574] : INFO : Epoch 79 | loss: 0.0012545 | val_loss: 0.00125101 | Time: 4482.83 ms [2020-11-18 03:32:41 main:574] : INFO : Epoch 80 | loss: 0.00119495 | val_loss: 0.00119081 | Time: 4545.65 ms [2020-11-18 03:32:46 main:574] : INFO : Epoch 81 | loss: 0.00113878 | val_loss: 0.00113696 | Time: 4498.73 ms [2020-11-18 03:32:50 main:574] : INFO : Epoch 82 | loss: 0.00108539 | val_loss: 0.00108077 | Time: 4504.52 ms [2020-11-18 03:32:55 main:574] : INFO : Epoch 83 | loss: 0.00103416 | val_loss: 0.00103138 | Time: 4451.34 ms [2020-11-18 03:32:59 main:574] : INFO : Epoch 84 | loss: 0.00098547 | val_loss: 0.000983538 | Time: 4455.17 ms [2020-11-18 03:33:04 main:574] : INFO : Epoch 85 | loss: 0.000940504 | val_loss: 0.00094245 | Time: 4485.75 ms [2020-11-18 03:33:08 main:574] : INFO : Epoch 86 | loss: 0.000896048 | val_loss: 0.000892915 | Time: 4548.03 ms [2020-11-18 03:33:13 main:574] : INFO : Epoch 87 | loss: 0.000854714 | val_loss: 0.000854732 | Time: 4481.38 ms [2020-11-18 03:33:18 main:574] : INFO : Epoch 88 | loss: 0.000815446 | val_loss: 0.000813701 | Time: 4510.26 ms [2020-11-18 03:33:23 main:574] : INFO : Epoch 89 | loss: 0.000776659 | val_loss: 0.000778226 | Time: 4941.14 ms [2020-11-18 03:33:26 main:574] : INFO : Epoch 90 | loss: 0.000741445 | val_loss: 0.000741624 | Time: 3574.24 ms [2020-11-18 03:33:30 main:574] : INFO : Epoch 91 | loss: 0.000707244 | val_loss: 0.000709491 | Time: 3567.99 ms [2020-11-18 03:33:34 main:574] : INFO : Epoch 92 | loss: 0.000674978 | val_loss: 0.000675869 | Time: 3687.98 ms [2020-11-18 03:33:38 main:574] : INFO : Epoch 93 | loss: 0.000643951 | val_loss: 0.000644322 | Time: 3554.93 ms [2020-11-18 03:33:42 main:574] : INFO : Epoch 94 | loss: 0.000615106 | val_loss: 0.000616467 | Time: 3615.81 ms [2020-11-18 03:33:45 main:574] : INFO : Epoch 95 | loss: 0.000587147 | val_loss: 0.000590257 | Time: 3566.77 ms [2020-11-18 03:33:49 main:574] : INFO : Epoch 96 | loss: 0.000561108 | val_loss: 0.000561798 | Time: 4004.99 ms [2020-11-18 03:33:54 main:574] : INFO : Epoch 97 | loss: 0.000535752 | val_loss: 0.00053612 | Time: 3971.87 ms [2020-11-18 03:33:59 main:574] : INFO : Epoch 98 | loss: 0.000511298 | val_loss: 0.000514232 | Time: 4338.69 ms [2020-11-18 03:34:03 main:574] : INFO : Epoch 99 | loss: 0.000489254 | val_loss: 0.000488554 | Time: 4294.31 ms [2020-11-18 03:34:07 main:574] : INFO : Epoch 100 | loss: 0.000468041 | val_loss: 0.000469246 | Time: 4280.48 ms [2020-11-18 03:34:12 main:574] : INFO : Epoch 101 | loss: 0.000447585 | val_loss: 0.000450078 | Time: 4297.88 ms [2020-11-18 03:34:16 main:574] : INFO : Epoch 102 | loss: 0.000428702 | val_loss: 0.000429518 | Time: 4284.36 ms [2020-11-18 03:34:20 main:574] : INFO : Epoch 103 | loss: 0.000410012 | val_loss: 0.000411169 | Time: 4319.87 ms [2020-11-18 03:34:25 main:574] : INFO : Epoch 104 | loss: 0.000392197 | val_loss: 0.000393428 | Time: 4385 ms [2020-11-18 03:34:29 main:574] : INFO : Epoch 105 | loss: 0.000375682 | val_loss: 0.000374902 | Time: 4347.36 ms [2020-11-18 03:34:34 main:574] : INFO : Epoch 106 | loss: 0.000360565 | val_loss: 0.000363633 | Time: 4312.02 ms [2020-11-18 03:34:38 main:574] : INFO : Epoch 107 | loss: 0.000345644 | val_loss: 0.000347375 | Time: 4306.23 ms [2020-11-18 03:34:42 main:574] : INFO : Epoch 108 | loss: 0.000332056 | val_loss: 0.000333781 | Time: 4324.6 ms [2020-11-18 03:34:47 main:574] : INFO : Epoch 109 | loss: 0.000317437 | val_loss: 0.000321287 | Time: 4329.13 ms [2020-11-18 03:34:51 main:574] : INFO : Epoch 110 | loss: 0.000305761 | val_loss: 0.000307402 | Time: 4319.54 ms [2020-11-18 03:34:56 main:574] : INFO : Epoch 111 | loss: 0.000294379 | val_loss: 0.000297113 | Time: 4225.7 ms [2020-11-18 03:35:00 main:574] : INFO : Epoch 112 | loss: 0.000282715 | val_loss: 0.000284445 | Time: 4326.66 ms [2020-11-18 03:35:04 main:574] : INFO : Epoch 113 | loss: 0.000271075 | val_loss: 0.000273655 | Time: 4325.54 ms [2020-11-18 03:35:09 main:574] : INFO : Epoch 114 | loss: 0.000261297 | val_loss: 0.000262245 | Time: 4322.33 ms [2020-11-18 03:35:13 main:574] : INFO : Epoch 115 | loss: 0.000251296 | val_loss: 0.000252044 | Time: 4328.85 ms [2020-11-18 03:35:18 main:574] : INFO : Epoch 116 | loss: 0.000242126 | val_loss: 0.000244628 | Time: 4316.9 ms [2020-11-18 03:35:22 main:574] : INFO : Epoch 117 | loss: 0.000232916 | val_loss: 0.00023554 | Time: 4293.58 ms [2020-11-18 03:35:27 main:574] : INFO : Epoch 118 | loss: 0.000225003 | val_loss: 0.000229178 | Time: 4370.64 ms [2020-11-18 03:35:31 main:574] : INFO : Epoch 119 | loss: 0.000216885 | val_loss: 0.000219385 | Time: 4306.19 ms [2020-11-18 03:35:35 main:574] : INFO : Epoch 120 | loss: 0.000208682 | val_loss: 0.000209693 | Time: 4295.6 ms [2020-11-18 03:35:40 main:574] : INFO : Epoch 121 | loss: 0.000201434 | val_loss: 0.000203854 | Time: 4341.94 ms [2020-11-18 03:35:44 main:574] : INFO : Epoch 122 | loss: 0.000195321 | val_loss: 0.000196548 | Time: 4359.18 ms [2020-11-18 03:35:49 main:574] : INFO : Epoch 123 | loss: 0.000188051 | val_loss: 0.000191775 | Time: 4262.88 ms [2020-11-18 03:35:53 main:574] : INFO : Epoch 124 | loss: 0.00018145 | val_loss: 0.000182558 | Time: 4280.01 ms [2020-11-18 03:35:57 main:574] : INFO : Epoch 125 | loss: 0.00017651 | val_loss: 0.000181211 | Time: 4303.64 ms [2020-11-18 03:36:02 main:574] : INFO : Epoch 126 | loss: 0.000169903 | val_loss: 0.000173073 | Time: 4336.8 ms [2020-11-18 03:36:06 main:574] : INFO : Epoch 127 | loss: 0.000164339 | val_loss: 0.000165216 | Time: 4307.99 ms [2020-11-18 03:36:11 main:574] : INFO : Epoch 128 | loss: 0.000160059 | val_loss: 0.000160777 | Time: 4352.48 ms [2020-11-18 03:36:15 main:574] : INFO : Epoch 129 | loss: 0.000154589 | val_loss: 0.000157109 | Time: 4303.65 ms [2020-11-18 03:36:19 main:574] : INFO : Epoch 130 | loss: 0.000149969 | val_loss: 0.00015235 | Time: 4333.59 ms [2020-11-18 03:36:24 main:574] : INFO : Epoch 131 | loss: 0.000144946 | val_loss: 0.000145748 | Time: 4311.49 ms [2020-11-18 03:36:28 main:574] : INFO : Epoch 132 | loss: 0.000141463 | val_loss: 0.00014294 | Time: 4343.82 ms [2020-11-18 03:36:33 main:574] : INFO : Epoch 133 | loss: 0.000137554 | val_loss: 0.000142308 | Time: 4281.57 ms [2020-11-18 03:36:37 main:574] : INFO : Epoch 134 | loss: 0.000133597 | val_loss: 0.000135497 | Time: 4289.41 ms [2020-11-18 03:36:41 main:574] : INFO : Epoch 135 | loss: 0.000129792 | val_loss: 0.000131086 | Time: 4270.72 ms [2020-11-18 03:36:46 main:574] : INFO : Epoch 136 | loss: 0.000126009 | val_loss: 0.000127112 | Time: 4296.71 ms [2020-11-18 03:36:50 main:574] : INFO : Epoch 137 | loss: 0.000122411 | val_loss: 0.000125043 | Time: 4296.3 ms [2020-11-18 03:36:54 main:574] : INFO : Epoch 138 | loss: 0.00011978 | val_loss: 0.000122978 | Time: 4343.57 ms [2020-11-18 03:36:59 main:574] : INFO : Epoch 139 | loss: 0.000116272 | val_loss: 0.000118133 | Time: 4302.04 ms [2020-11-18 03:37:03 main:574] : INFO : Epoch 140 | loss: 0.000113684 | val_loss: 0.000115305 | Time: 4302.9 ms [2020-11-18 03:37:08 main:574] : INFO : Epoch 141 | loss: 0.000110308 | val_loss: 0.000113 | Time: 4336.12 ms [2020-11-18 03:37:12 main:574] : INFO : Epoch 142 | loss: 0.000107841 | val_loss: 0.000108651 | Time: 4344.43 ms [2020-11-18 03:37:17 main:574] : INFO : Epoch 143 | loss: 0.000105482 | val_loss: 0.000107865 | Time: 4362.47 ms [2020-11-18 03:37:21 main:574] : INFO : Epoch 144 | loss: 0.000102877 | val_loss: 0.000104811 | Time: 4301.8 ms [2020-11-18 03:37:25 main:574] : INFO : Epoch 145 | loss: 0.000100491 | val_loss: 0.000101816 | Time: 4284.36 ms [2020-11-18 03:37:30 main:574] : INFO : Epoch 146 | loss: 9.8102e-05 | val_loss: 9.95279e-05 | Time: 4292.57 ms [2020-11-18 03:37:34 main:574] : INFO : Epoch 147 | loss: 9.59426e-05 | val_loss: 9.91564e-05 | Time: 4316.82 ms [2020-11-18 03:37:39 main:574] : INFO : Epoch 148 | loss: 9.3068e-05 | val_loss: 9.68651e-05 | Time: 4368.54 ms [2020-11-18 03:37:43 main:574] : INFO : Epoch 149 | loss: 9.16561e-05 | val_loss: 9.41557e-05 | Time: 4328.89 ms [2020-11-18 03:37:47 main:574] : INFO : Epoch 150 | loss: 8.92632e-05 | val_loss: 9.30778e-05 | Time: 4284.71 ms [2020-11-18 03:37:52 main:574] : INFO : Epoch 151 | loss: 8.76806e-05 | val_loss: 8.86789e-05 | Time: 4335.6 ms [2020-11-18 03:37:56 main:574] : INFO : Epoch 152 | loss: 8.59823e-05 | val_loss: 8.79017e-05 | Time: 4319.35 ms [2020-11-18 03:38:01 main:574] : INFO : Epoch 153 | loss: 8.45694e-05 | val_loss: 8.51224e-05 | Time: 4317.86 ms [2020-11-18 03:38:05 main:574] : INFO : Epoch 154 | loss: 8.27312e-05 | val_loss: 8.31796e-05 | Time: 4290.98 ms [2020-11-18 03:38:09 main:574] : INFO : Epoch 155 | loss: 8.13905e-05 | val_loss: 8.16057e-05 | Time: 4420.66 ms [2020-11-18 03:38:14 main:574] : INFO : Epoch 156 | loss: 7.96015e-05 | val_loss: 8.17411e-05 | Time: 4300.44 ms [2020-11-18 03:38:18 main:574] : INFO : Epoch 157 | loss: 7.79256e-05 | val_loss: 7.97868e-05 | Time: 4293.69 ms [2020-11-18 03:38:23 main:574] : INFO : Epoch 158 | loss: 7.63853e-05 | val_loss: 7.76699e-05 | Time: 4293.77 ms [2020-11-18 03:38:27 main:574] : INFO : Epoch 159 | loss: 7.48543e-05 | val_loss: 7.7942e-05 | Time: 4305.29 ms [2020-11-18 03:38:31 main:574] : INFO : Epoch 160 | loss: 7.3947e-05 | val_loss: 7.54588e-05 | Time: 4332.22 ms [2020-11-18 03:38:36 main:574] : INFO : Epoch 161 | loss: 7.24787e-05 | val_loss: 7.46172e-05 | Time: 4321.88 ms [2020-11-18 03:38:40 main:574] : INFO : Epoch 162 | loss: 7.06232e-05 | val_loss: 7.30643e-05 | Time: 4274.49 ms [2020-11-18 03:38:45 main:574] : INFO : Epoch 163 | loss: 6.97216e-05 | val_loss: 7.12209e-05 | Time: 4308.25 ms [2020-11-18 03:38:49 main:574] : INFO : Epoch 164 | loss: 6.85176e-05 | val_loss: 7.01099e-05 | Time: 4306.52 ms [2020-11-18 03:38:53 main:574] : INFO : Epoch 165 | loss: 6.74089e-05 | val_loss: 7.11035e-05 | Time: 4301.26 ms [2020-11-18 03:38:58 main:574] : INFO : Epoch 166 | loss: 6.59899e-05 | val_loss: 6.75015e-05 | Time: 4293.01 ms [2020-11-18 03:39:02 main:574] : INFO : Epoch 167 | loss: 6.56087e-05 | val_loss: 6.68967e-05 | Time: 4346.4 ms [2020-11-18 03:39:07 main:574] : INFO : Epoch 168 | loss: 6.41004e-05 | val_loss: 6.53268e-05 | Time: 4292.82 ms [2020-11-18 03:39:11 main:574] : INFO : Epoch 169 | loss: 6.3298e-05 | val_loss: 6.49408e-05 | Time: 4309.75 ms [2020-11-18 03:39:15 main:574] : INFO : Epoch 170 | loss: 6.19891e-05 | val_loss: 6.40921e-05 | Time: 4298.9 ms [2020-11-18 03:39:20 main:574] : INFO : Epoch 171 | loss: 6.07284e-05 | val_loss: 6.27192e-05 | Time: 4288.26 ms [2020-11-18 03:39:24 main:574] : INFO : Epoch 172 | loss: 6.0192e-05 | val_loss: 6.11725e-05 | Time: 4339.17 ms [2020-11-18 03:39:29 main:574] : INFO : Epoch 173 | loss: 5.97704e-05 | val_loss: 6.10804e-05 | Time: 4346.65 ms [2020-11-18 03:39:33 main:574] : INFO : Epoch 174 | loss: 5.8473e-05 | val_loss: 5.95976e-05 | Time: 4288.41 ms [2020-11-18 03:39:37 main:574] : INFO : Epoch 175 | loss: 5.76123e-05 | val_loss: 5.93275e-05 | Time: 4290.73 ms [2020-11-18 03:39:42 main:574] : INFO : Epoch 176 | loss: 5.67122e-05 | val_loss: 5.79608e-05 | Time: 4317.36 ms [2020-11-18 03:39:46 main:574] : INFO : Epoch 177 | loss: 5.5877e-05 | val_loss: 5.72169e-05 | Time: 4323.34 ms [2020-11-18 03:39:51 main:574] : INFO : Epoch 178 | loss: 5.50263e-05 | val_loss: 5.65355e-05 | Time: 4280.57 ms [2020-11-18 03:39:55 main:574] : INFO : Epoch 179 | loss: 5.46053e-05 | val_loss: 5.67174e-05 | Time: 4328.76 ms [2020-11-18 03:39:59 main:574] : INFO : Epoch 180 | loss: 5.36444e-05 | val_loss: 5.59804e-05 | Time: 4318.96 ms [2020-11-18 03:40:04 main:574] : INFO : Epoch 181 | loss: 5.27894e-05 | val_loss: 5.33763e-05 | Time: 4367.3 ms [2020-11-18 03:40:08 main:574] : INFO : Epoch 182 | loss: 5.21218e-05 | val_loss: 5.27731e-05 | Time: 4298.81 ms [2020-11-18 03:40:13 main:574] : INFO : Epoch 183 | loss: 5.13364e-05 | val_loss: 5.20908e-05 | Time: 4303.22 ms [2020-11-18 03:40:17 main:574] : INFO : Epoch 184 | loss: 5.04627e-05 | val_loss: 5.17564e-05 | Time: 4213.67 ms [2020-11-18 03:40:21 main:574] : INFO : Epoch 185 | loss: 5.00305e-05 | val_loss: 5.21006e-05 | Time: 4283.28 ms [2020-11-18 03:40:26 main:574] : INFO : Epoch 186 | loss: 4.96833e-05 | val_loss: 5.04552e-05 | Time: 4269.08 ms [2020-11-18 03:40:30 main:574] : INFO : Epoch 187 | loss: 4.87919e-05 | val_loss: 4.99682e-05 | Time: 4273.28 ms [2020-11-18 03:40:34 main:574] : INFO : Epoch 188 | loss: 4.79974e-05 | val_loss: 4.92758e-05 | Time: 4274.77 ms [2020-11-18 03:40:39 main:574] : INFO : Epoch 189 | loss: 4.73058e-05 | val_loss: 4.86179e-05 | Time: 4351.11 ms [2020-11-18 03:40:43 main:574] : INFO : Epoch 190 | loss: 4.66665e-05 | val_loss: 4.79846e-05 | Time: 4305.12 ms [2020-11-18 03:40:48 main:574] : INFO : Epoch 191 | loss: 4.60739e-05 | val_loss: 4.71462e-05 | Time: 4296.99 ms [2020-11-18 03:40:52 main:574] : INFO : Epoch 192 | loss: 4.58821e-05 | val_loss: 4.71081e-05 | Time: 4301.65 ms [2020-11-18 03:40:52 main:597] : INFO : Saving trained model to model-final.pt, val_loss 4.71081e-05 [2020-11-18 03:40:52 main:603] : INFO : Saving end state to config to file [2020-11-18 03:40:52 main:608] : INFO : Success, exiting.. 03:40:52 (1524): called boinc_finish(0) </stderr_txt> ]]>
©2022 MLC@Home Team
A project of the Cognition, Robotics, and Learning (CORAL) Lab at the University of Maryland, Baltimore County (UMBC)