| Name | rand_automata_0057-1604934217-23350-1_0 |
| Workunit | 1264712 |
| Created | 10 Nov 2020, 5:31:54 UTC |
| Sent | 10 Nov 2020, 5:32:43 UTC |
| Report deadline | 17 Nov 2020, 5:32:43 UTC |
| Received | 11 Nov 2020, 2:23:28 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 563 |
| Run time | 25 min 39 sec |
| CPU time | 23 min 47 sec |
| Validate state | Valid |
| Credit | 959.40 |
| Device peak FLOPS | 5,442.60 GFLOPS |
| Application version | Machine Learning Dataset Generator (test) v9.75 (cuda10200) windows_x86_64 |
| Peak working set size | 1.95 GB |
| Peak swap size | 3.88 GB |
| Peak disk usage | 1.54 GB |
<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 1660 Ti) [2020-11-11 02:57:44 main:435] : INFO : Set logging level to 1 [2020-11-11 02:57:44 main:441] : INFO : Running in BOINC Client mode [2020-11-11 02:57:44 main:444] : INFO : Resolving all filenames [2020-11-11 02:57:44 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0057-train-val-dataset.hdf5 (exists = 1) [2020-11-11 02:57:44 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0057-1604934217-23350-1_0_r229425015_1 (exists = 0) [2020-11-11 02:57:44 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0057-1604934217-23350-1_0_r229425015_0 (exists = 0) [2020-11-11 02:57:44 main:452] : INFO : Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0057-1604934217-23350-1 (exists = 1) [2020-11-11 02:57:44 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-11 02:57:45 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/rand_automata_0057-train-val-dataset.hdf5 [2020-11-11 02:57:45 main:474] : INFO : Configuration: [2020-11-11 02:57:45 main:475] : INFO : Model type: LSTM [2020-11-11 02:57:45 main:476] : INFO : Validation Loss Threshold: 0.0001 [2020-11-11 02:57:45 main:477] : INFO : Max Epochs: 192 [2020-11-11 02:57:45 main:478] : INFO : Batch Size: 32 [2020-11-11 02:57:45 main:479] : INFO : Learning Rate: 0.001 [2020-11-11 02:57:45 main:480] : INFO : Patience: 10 [2020-11-11 02:57:45 main:481] : INFO : Hidden Width: 64 [2020-11-11 02:57:45 main:482] : INFO : # Recurrent Layers: 4 [2020-11-11 02:57:45 main:483] : INFO : # Backend Layers: 2 [2020-11-11 02:57:45 main:484] : INFO : # Threads: 1 [2020-11-11 02:57:45 main:486] : INFO : Preparing Dataset [2020-11-11 02:57:45 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0057-train-val-dataset.hdf5 into memory [2020-11-11 02:57:45 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0057-train-val-dataset.hdf5 into memory [2020-11-11 02:57:47 load:106] : INFO : Successfully loaded dataset of 4096 examples into memory. [2020-11-11 02:57:47 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0057-train-val-dataset.hdf5 into memory [2020-11-11 02:57:47 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0057-train-val-dataset.hdf5 into memory [2020-11-11 02:57:47 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-11 02:57:47 main:494] : INFO : Creating Model [2020-11-11 02:57:47 main:507] : INFO : Preparing config file [2020-11-11 02:57:48 main:519] : INFO : Creating new config file [2020-11-11 02:57:48 main:538] : INFO : This is a continuation WU, loading previous network [2020-11-11 02:57:49 main:559] : INFO : Loading DataLoader into Memory [2020-11-11 02:57:49 main:562] : INFO : Starting Training [2020-11-11 02:57:58 main:574] : INFO : Epoch 1 | loss: 0.000219037 | val_loss: 0.000192895 | Time: 8351.35 ms [2020-11-11 02:58:05 main:574] : INFO : Epoch 2 | loss: 0.000190013 | val_loss: 0.000192415 | Time: 7613.12 ms [2020-11-11 02:58:13 main:574] : INFO : Epoch 3 | loss: 0.000187576 | val_loss: 0.00019055 | Time: 7861.89 ms [2020-11-11 02:58:21 main:574] : INFO : Epoch 4 | loss: 0.000185908 | val_loss: 0.000188708 | Time: 7998.32 ms [2020-11-11 02:58:29 main:574] : INFO : Epoch 5 | loss: 0.000182695 | val_loss: 0.000186139 | Time: 7778.44 ms [2020-11-11 02:58:37 main:574] : INFO : Epoch 6 | loss: 0.000179124 | val_loss: 0.000180938 | Time: 7636.62 ms [2020-11-11 02:58:45 main:574] : INFO : Epoch 7 | loss: 0.000176629 | val_loss: 0.000178911 | Time: 7914.31 ms [2020-11-11 02:58:53 main:574] : INFO : Epoch 8 | loss: 0.000173478 | val_loss: 0.000175498 | Time: 8138.86 ms [2020-11-11 02:59:01 main:574] : INFO : Epoch 9 | loss: 0.000170435 | val_loss: 0.000173098 | Time: 8046.25 ms [2020-11-11 02:59:09 main:574] : INFO : Epoch 10 | loss: 0.00016689 | val_loss: 0.00016923 | Time: 7627.2 ms [2020-11-11 02:59:17 main:574] : INFO : Epoch 11 | loss: 0.000163907 | val_loss: 0.00016684 | Time: 7738.52 ms [2020-11-11 02:59:25 main:574] : INFO : Epoch 12 | loss: 0.000161523 | val_loss: 0.000162571 | Time: 7693.66 ms [2020-11-11 02:59:32 main:574] : INFO : Epoch 13 | loss: 0.000158363 | val_loss: 0.000161872 | Time: 7891.86 ms [2020-11-11 02:59:41 main:574] : INFO : Epoch 14 | loss: 0.000156013 | val_loss: 0.000158699 | Time: 8010.26 ms [2020-11-11 02:59:48 main:574] : INFO : Epoch 15 | loss: 0.000152848 | val_loss: 0.000156767 | Time: 7779.03 ms [2020-11-11 02:59:56 main:574] : INFO : Epoch 16 | loss: 0.000150449 | val_loss: 0.000153459 | Time: 7621.5 ms [2020-11-11 03:00:04 main:574] : INFO : Epoch 17 | loss: 0.000148405 | val_loss: 0.00015023 | Time: 7757.98 ms [2020-11-11 03:00:12 main:574] : INFO : Epoch 18 | loss: 0.000145185 | val_loss: 0.000150286 | Time: 7901.75 ms [2020-11-11 03:00:20 main:574] : INFO : Epoch 19 | loss: 0.000143209 | val_loss: 0.000145232 | Time: 7813.85 ms [2020-11-11 03:00:27 main:574] : INFO : Epoch 20 | loss: 0.000140543 | val_loss: 0.000142236 | Time: 7493.27 ms [2020-11-11 03:00:35 main:574] : INFO : Epoch 21 | loss: 0.000138535 | val_loss: 0.000141224 | Time: 7703.51 ms [2020-11-11 03:00:43 main:574] : INFO : Epoch 22 | loss: 0.000135889 | val_loss: 0.000137661 | Time: 7620.93 ms [2020-11-11 03:00:51 main:574] : INFO : Epoch 23 | loss: 0.000133189 | val_loss: 0.00013751 | Time: 7785.1 ms [2020-11-11 03:00:59 main:574] : INFO : Epoch 24 | loss: 0.000131128 | val_loss: 0.00013521 | Time: 7452.47 ms [2020-11-11 03:01:07 main:574] : INFO : Epoch 25 | loss: 0.000128816 | val_loss: 0.000131208 | Time: 8209.98 ms [2020-11-11 03:01:15 main:574] : INFO : Epoch 26 | loss: 0.000126958 | val_loss: 0.000128977 | Time: 7770.18 ms [2020-11-11 03:01:23 main:574] : INFO : Epoch 27 | loss: 0.000125376 | val_loss: 0.000128585 | Time: 7714.82 ms [2020-11-11 03:01:30 main:574] : INFO : Epoch 28 | loss: 0.000122735 | val_loss: 0.000125361 | Time: 7493.4 ms [2020-11-11 03:01:38 main:574] : INFO : Epoch 29 | loss: 0.000121573 | val_loss: 0.000122761 | Time: 7619.28 ms [2020-11-11 03:01:46 main:574] : INFO : Epoch 30 | loss: 0.000119246 | val_loss: 0.000122523 | Time: 8039.08 ms [2020-11-11 03:01:54 main:574] : INFO : Epoch 31 | loss: 0.000117246 | val_loss: 0.000119356 | Time: 7991.57 ms [2020-11-11 03:02:02 main:574] : INFO : Epoch 32 | loss: 0.000115165 | val_loss: 0.000118204 | Time: 7680.51 ms [2020-11-11 03:02:10 main:574] : INFO : Epoch 33 | loss: 0.000114494 | val_loss: 0.000115282 | Time: 7678.66 ms [2020-11-11 03:02:17 main:574] : INFO : Epoch 34 | loss: 0.000111718 | val_loss: 0.000113666 | Time: 7638.53 ms [2020-11-11 03:02:25 main:574] : INFO : Epoch 35 | loss: 0.000110738 | val_loss: 0.000113508 | Time: 7625.13 ms [2020-11-11 03:02:33 main:574] : INFO : Epoch 36 | loss: 0.000108888 | val_loss: 0.000111552 | Time: 7767.04 ms [2020-11-11 03:02:40 main:574] : INFO : Epoch 37 | loss: 0.000107059 | val_loss: 0.000109715 | Time: 7457.83 ms [2020-11-11 03:02:48 main:574] : INFO : Epoch 38 | loss: 0.000105876 | val_loss: 0.000108686 | Time: 7445.33 ms [2020-11-11 03:02:55 main:574] : INFO : Epoch 39 | loss: 0.000104056 | val_loss: 0.000107225 | Time: 7493.82 ms [2020-11-11 03:03:03 main:574] : INFO : Epoch 40 | loss: 0.000102449 | val_loss: 0.000106247 | Time: 7537.43 ms [2020-11-11 03:03:10 main:574] : INFO : Epoch 41 | loss: 0.000101541 | val_loss: 0.000103443 | Time: 7497.32 ms [2020-11-11 03:03:18 main:574] : INFO : Epoch 42 | loss: 9.97299e-05 | val_loss: 0.00010228 | Time: 7332.03 ms [2020-11-11 03:03:25 main:574] : INFO : Epoch 43 | loss: 9.78315e-05 | val_loss: 9.94557e-05 | Time: 7467.47 ms [2020-11-11 03:03:33 main:574] : INFO : Epoch 44 | loss: 9.7037e-05 | val_loss: 9.8584e-05 | Time: 7346.2 ms [2020-11-11 03:03:40 main:574] : INFO : Epoch 45 | loss: 9.55052e-05 | val_loss: 9.80273e-05 | Time: 7300.95 ms [2020-11-11 03:03:47 main:574] : INFO : Epoch 46 | loss: 9.45538e-05 | val_loss: 9.68307e-05 | Time: 7147.08 ms [2020-11-11 03:03:55 main:574] : INFO : Epoch 47 | loss: 9.30212e-05 | val_loss: 9.37803e-05 | Time: 7155.25 ms [2020-11-11 03:04:02 main:574] : INFO : Epoch 48 | loss: 9.17302e-05 | val_loss: 9.49192e-05 | Time: 7742.82 ms [2020-11-11 03:04:10 main:574] : INFO : Epoch 49 | loss: 9.0765e-05 | val_loss: 9.21593e-05 | Time: 8033.85 ms [2020-11-11 03:04:19 main:574] : INFO : Epoch 50 | loss: 8.96834e-05 | val_loss: 9.03204e-05 | Time: 8028.62 ms [2020-11-11 03:04:26 main:574] : INFO : Epoch 51 | loss: 8.86567e-05 | val_loss: 9.08627e-05 | Time: 7549.96 ms [2020-11-11 03:04:34 main:574] : INFO : Epoch 52 | loss: 8.78511e-05 | val_loss: 8.94229e-05 | Time: 8083.3 ms [2020-11-11 03:04:43 main:574] : INFO : Epoch 53 | loss: 8.61757e-05 | val_loss: 8.68541e-05 | Time: 8033.81 ms [2020-11-11 03:04:50 main:574] : INFO : Epoch 54 | loss: 8.51042e-05 | val_loss: 8.77812e-05 | Time: 7707.09 ms [2020-11-11 03:04:58 main:574] : INFO : Epoch 55 | loss: 8.44899e-05 | val_loss: 8.63254e-05 | Time: 7612.98 ms [2020-11-11 03:05:06 main:574] : INFO : Epoch 56 | loss: 8.38384e-05 | val_loss: 8.55085e-05 | Time: 7867.38 ms [2020-11-11 03:05:14 main:574] : INFO : Epoch 57 | loss: 8.3084e-05 | val_loss: 8.39482e-05 | Time: 7810.68 ms [2020-11-11 03:05:22 main:574] : INFO : Epoch 58 | loss: 8.1443e-05 | val_loss: 8.24517e-05 | Time: 7845.98 ms [2020-11-11 03:05:30 main:574] : INFO : Epoch 59 | loss: 8.1243e-05 | val_loss: 8.16353e-05 | Time: 7752.52 ms [2020-11-11 03:05:37 main:574] : INFO : Epoch 60 | loss: 7.96481e-05 | val_loss: 8.15765e-05 | Time: 7772.47 ms [2020-11-11 03:05:45 main:574] : INFO : Epoch 61 | loss: 7.85455e-05 | val_loss: 8.1044e-05 | Time: 7796.22 ms [2020-11-11 03:05:54 main:574] : INFO : Epoch 62 | loss: 7.82525e-05 | val_loss: 7.93253e-05 | Time: 8313.47 ms [2020-11-11 03:06:02 main:574] : INFO : Epoch 63 | loss: 7.75286e-05 | val_loss: 7.93944e-05 | Time: 7859.99 ms [2020-11-11 03:06:09 main:574] : INFO : Epoch 64 | loss: 7.6579e-05 | val_loss: 7.8119e-05 | Time: 7807.58 ms [2020-11-11 03:06:17 main:574] : INFO : Epoch 65 | loss: 7.57693e-05 | val_loss: 7.63214e-05 | Time: 7649.3 ms [2020-11-11 03:06:25 main:574] : INFO : Epoch 66 | loss: 7.48653e-05 | val_loss: 7.88973e-05 | Time: 8115.21 ms [2020-11-11 03:06:33 main:574] : INFO : Epoch 67 | loss: 7.41873e-05 | val_loss: 7.54755e-05 | Time: 8180.48 ms [2020-11-11 03:06:41 main:574] : INFO : Epoch 68 | loss: 7.35738e-05 | val_loss: 7.49404e-05 | Time: 7742.38 ms [2020-11-11 03:06:49 main:574] : INFO : Epoch 69 | loss: 7.24683e-05 | val_loss: 7.37724e-05 | Time: 8007.04 ms [2020-11-11 03:06:58 main:574] : INFO : Epoch 70 | loss: 7.17452e-05 | val_loss: 7.44216e-05 | Time: 8136.98 ms [2020-11-11 03:07:06 main:574] : INFO : Epoch 71 | loss: 7.14374e-05 | val_loss: 7.1347e-05 | Time: 8499.8 ms [2020-11-11 03:07:14 main:574] : INFO : Epoch 72 | loss: 7.04939e-05 | val_loss: 7.19609e-05 | Time: 8127.25 ms [2020-11-11 03:07:22 main:574] : INFO : Epoch 73 | loss: 6.99593e-05 | val_loss: 7.20527e-05 | Time: 8033.84 ms [2020-11-11 03:07:30 main:574] : INFO : Epoch 74 | loss: 6.96445e-05 | val_loss: 7.12887e-05 | Time: 7603.16 ms [2020-11-11 03:07:38 main:574] : INFO : Epoch 75 | loss: 6.86488e-05 | val_loss: 7.05705e-05 | Time: 7927.23 ms [2020-11-11 03:07:46 main:574] : INFO : Epoch 76 | loss: 6.80635e-05 | val_loss: 6.89812e-05 | Time: 8175.23 ms [2020-11-11 03:07:54 main:574] : INFO : Epoch 77 | loss: 6.72947e-05 | val_loss: 6.92868e-05 | Time: 7921.75 ms [2020-11-11 03:08:02 main:574] : INFO : Epoch 78 | loss: 6.64349e-05 | val_loss: 6.83011e-05 | Time: 7911.88 ms [2020-11-11 03:08:10 main:574] : INFO : Epoch 79 | loss: 6.60672e-05 | val_loss: 6.72383e-05 | Time: 7780.62 ms [2020-11-11 03:08:18 main:574] : INFO : Epoch 80 | loss: 6.58551e-05 | val_loss: 6.7742e-05 | Time: 7729.89 ms [2020-11-11 03:08:26 main:574] : INFO : Epoch 81 | loss: 6.49471e-05 | val_loss: 6.70401e-05 | Time: 7971.18 ms [2020-11-11 03:08:35 main:574] : INFO : Epoch 82 | loss: 6.4337e-05 | val_loss: 6.63506e-05 | Time: 8343.47 ms [2020-11-11 03:08:42 main:574] : INFO : Epoch 83 | loss: 6.40807e-05 | val_loss: 6.47296e-05 | Time: 7459.55 ms [2020-11-11 03:08:50 main:574] : INFO : Epoch 84 | loss: 6.36379e-05 | val_loss: 6.58296e-05 | Time: 7916.35 ms [2020-11-11 03:08:58 main:574] : INFO : Epoch 85 | loss: 6.25338e-05 | val_loss: 6.39994e-05 | Time: 7842.33 ms [2020-11-11 03:09:06 main:574] : INFO : Epoch 86 | loss: 6.20751e-05 | val_loss: 6.29184e-05 | Time: 7769.7 ms [2020-11-11 03:09:14 main:574] : INFO : Epoch 87 | loss: 6.19237e-05 | val_loss: 6.32315e-05 | Time: 7675.33 ms [2020-11-11 03:09:21 main:574] : INFO : Epoch 88 | loss: 6.08745e-05 | val_loss: 6.33395e-05 | Time: 7667.6 ms [2020-11-11 03:09:29 main:574] : INFO : Epoch 89 | loss: 6.06815e-05 | val_loss: 6.18804e-05 | Time: 7888.91 ms [2020-11-11 03:09:37 main:574] : INFO : Epoch 90 | loss: 6.04632e-05 | val_loss: 6.14069e-05 | Time: 7869.08 ms [2020-11-11 03:09:45 main:574] : INFO : Epoch 91 | loss: 5.98595e-05 | val_loss: 6.15609e-05 | Time: 7662.66 ms [2020-11-11 03:09:53 main:574] : INFO : Epoch 92 | loss: 5.91832e-05 | val_loss: 5.96102e-05 | Time: 7736.19 ms [2020-11-11 03:10:01 main:574] : INFO : Epoch 93 | loss: 5.84846e-05 | val_loss: 6.12719e-05 | Time: 7769.03 ms [2020-11-11 03:10:08 main:574] : INFO : Epoch 94 | loss: 5.80104e-05 | val_loss: 5.90477e-05 | Time: 7608.19 ms [2020-11-11 03:10:16 main:574] : INFO : Epoch 95 | loss: 5.75867e-05 | val_loss: 5.86619e-05 | Time: 8012.01 ms [2020-11-11 03:10:24 main:574] : INFO : Epoch 96 | loss: 5.70759e-05 | val_loss: 5.76933e-05 | Time: 7623.17 ms [2020-11-11 03:10:32 main:574] : INFO : Epoch 97 | loss: 5.675e-05 | val_loss: 5.81016e-05 | Time: 7788.01 ms [2020-11-11 03:10:40 main:574] : INFO : Epoch 98 | loss: 5.66502e-05 | val_loss: 5.76937e-05 | Time: 8154.24 ms [2020-11-11 03:10:48 main:574] : INFO : Epoch 99 | loss: 5.5552e-05 | val_loss: 5.84302e-05 | Time: 7917.46 ms [2020-11-11 03:10:56 main:574] : INFO : Epoch 100 | loss: 5.56472e-05 | val_loss: 5.66456e-05 | Time: 7727.11 ms [2020-11-11 03:11:04 main:574] : INFO : Epoch 101 | loss: 5.47386e-05 | val_loss: 5.6499e-05 | Time: 7664.69 ms [2020-11-11 03:11:12 main:574] : INFO : Epoch 102 | loss: 5.48944e-05 | val_loss: 5.58485e-05 | Time: 8458.28 ms [2020-11-11 03:11:20 main:574] : INFO : Epoch 103 | loss: 5.40439e-05 | val_loss: 5.62902e-05 | Time: 7810.05 ms [2020-11-11 03:11:28 main:574] : INFO : Epoch 104 | loss: 5.39437e-05 | val_loss: 5.5987e-05 | Time: 8253.96 ms [2020-11-11 03:11:36 main:574] : INFO : Epoch 105 | loss: 5.336e-05 | val_loss: 5.52302e-05 | Time: 7879.96 ms [2020-11-11 03:11:45 main:574] : INFO : Epoch 106 | loss: 5.3035e-05 | val_loss: 5.49598e-05 | Time: 7999.86 ms [2020-11-11 03:11:53 main:574] : INFO : Epoch 107 | loss: 5.24876e-05 | val_loss: 5.38096e-05 | Time: 7901.51 ms [2020-11-11 03:12:01 main:574] : INFO : Epoch 108 | loss: 5.21092e-05 | val_loss: 5.37306e-05 | Time: 8198.06 ms [2020-11-11 03:12:09 main:574] : INFO : Epoch 109 | loss: 5.21695e-05 | val_loss: 5.35152e-05 | Time: 8291.72 ms [2020-11-11 03:12:17 main:574] : INFO : Epoch 110 | loss: 5.152e-05 | val_loss: 5.29696e-05 | Time: 7753.85 ms [2020-11-11 03:12:25 main:574] : INFO : Epoch 111 | loss: 5.16894e-05 | val_loss: 5.29557e-05 | Time: 7863.62 ms [2020-11-11 03:12:33 main:574] : INFO : Epoch 112 | loss: 5.0631e-05 | val_loss: 5.098e-05 | Time: 8139.81 ms [2020-11-11 03:12:41 main:574] : INFO : Epoch 113 | loss: 5.07417e-05 | val_loss: 5.24221e-05 | Time: 7944.1 ms [2020-11-11 03:12:49 main:574] : INFO : Epoch 114 | loss: 5.04394e-05 | val_loss: 5.08015e-05 | Time: 8136.44 ms [2020-11-11 03:12:57 main:574] : INFO : Epoch 115 | loss: 4.97203e-05 | val_loss: 5.1293e-05 | Time: 7546.24 ms [2020-11-11 03:13:05 main:574] : INFO : Epoch 116 | loss: 4.92596e-05 | val_loss: 5.08752e-05 | Time: 8005.68 ms [2020-11-11 03:13:13 main:574] : INFO : Epoch 117 | loss: 4.86671e-05 | val_loss: 5.3092e-05 | Time: 7420.56 ms [2020-11-11 03:13:20 main:574] : INFO : Epoch 118 | loss: 4.89709e-05 | val_loss: 4.926e-05 | Time: 7374.83 ms [2020-11-11 03:13:27 main:574] : INFO : Epoch 119 | loss: 4.8381e-05 | val_loss: 5.04521e-05 | Time: 7363.09 ms [2020-11-11 03:13:35 main:574] : INFO : Epoch 120 | loss: 4.79186e-05 | val_loss: 4.93608e-05 | Time: 7278.43 ms [2020-11-11 03:13:42 main:574] : INFO : Epoch 121 | loss: 4.75749e-05 | val_loss: 4.98026e-05 | Time: 7254.23 ms [2020-11-11 03:13:50 main:574] : INFO : Epoch 122 | loss: 4.75982e-05 | val_loss: 4.96352e-05 | Time: 7288.53 ms [2020-11-11 03:13:57 main:574] : INFO : Epoch 123 | loss: 4.71103e-05 | val_loss: 4.88147e-05 | Time: 7301.35 ms [2020-11-11 03:14:04 main:574] : INFO : Epoch 124 | loss: 4.64923e-05 | val_loss: 4.89123e-05 | Time: 7347.5 ms [2020-11-11 03:14:12 main:574] : INFO : Epoch 125 | loss: 4.6701e-05 | val_loss: 4.79922e-05 | Time: 7835.45 ms [2020-11-11 03:14:20 main:574] : INFO : Epoch 126 | loss: 4.59524e-05 | val_loss: 4.75587e-05 | Time: 7981.2 ms [2020-11-11 03:14:29 main:574] : INFO : Epoch 127 | loss: 4.59517e-05 | val_loss: 4.79489e-05 | Time: 8076.71 ms [2020-11-11 03:14:36 main:574] : INFO : Epoch 128 | loss: 4.55986e-05 | val_loss: 4.69567e-05 | Time: 7936.6 ms [2020-11-11 03:14:44 main:574] : INFO : Epoch 129 | loss: 4.57596e-05 | val_loss: 4.63515e-05 | Time: 7549.53 ms [2020-11-11 03:14:52 main:574] : INFO : Epoch 130 | loss: 4.49567e-05 | val_loss: 4.57078e-05 | Time: 7506.49 ms [2020-11-11 03:14:59 main:574] : INFO : Epoch 131 | loss: 4.42651e-05 | val_loss: 4.60902e-05 | Time: 7449.88 ms [2020-11-11 03:15:07 main:574] : INFO : Epoch 132 | loss: 4.41148e-05 | val_loss: 4.69231e-05 | Time: 7648.17 ms [2020-11-11 03:15:15 main:574] : INFO : Epoch 133 | loss: 4.39692e-05 | val_loss: 4.71012e-05 | Time: 7669.67 ms [2020-11-11 03:15:23 main:574] : INFO : Epoch 134 | loss: 4.38701e-05 | val_loss: 4.54028e-05 | Time: 7869.01 ms [2020-11-11 03:15:32 main:574] : INFO : Epoch 135 | loss: 4.35979e-05 | val_loss: 4.45745e-05 | Time: 7713.12 ms [2020-11-11 03:15:39 main:574] : INFO : Epoch 136 | loss: 4.30413e-05 | val_loss: 4.43321e-05 | Time: 7684.38 ms [2020-11-11 03:15:47 main:574] : INFO : Epoch 137 | loss: 4.31436e-05 | val_loss: 4.46011e-05 | Time: 7875.29 ms [2020-11-11 03:15:56 main:574] : INFO : Epoch 138 | loss: 4.28248e-05 | val_loss: 4.49696e-05 | Time: 7989.84 ms [2020-11-11 03:16:03 main:574] : INFO : Epoch 139 | loss: 4.25804e-05 | val_loss: 4.35304e-05 | Time: 7773.41 ms [2020-11-11 03:16:11 main:574] : INFO : Epoch 140 | loss: 4.19961e-05 | val_loss: 4.41034e-05 | Time: 7865.27 ms [2020-11-11 03:16:19 main:574] : INFO : Epoch 141 | loss: 4.21242e-05 | val_loss: 4.30348e-05 | Time: 7674.56 ms [2020-11-11 03:16:27 main:574] : INFO : Epoch 142 | loss: 4.19404e-05 | val_loss: 4.29088e-05 | Time: 7847.04 ms [2020-11-11 03:16:35 main:574] : INFO : Epoch 143 | loss: 4.12198e-05 | val_loss: 4.31455e-05 | Time: 7830 ms [2020-11-11 03:16:43 main:574] : INFO : Epoch 144 | loss: 4.13662e-05 | val_loss: 4.25969e-05 | Time: 7932.58 ms [2020-11-11 03:16:51 main:574] : INFO : Epoch 145 | loss: 4.11221e-05 | val_loss: 4.24606e-05 | Time: 7850.44 ms [2020-11-11 03:16:59 main:574] : INFO : Epoch 146 | loss: 4.07177e-05 | val_loss: 4.2879e-05 | Time: 7755.57 ms [2020-11-11 03:17:06 main:574] : INFO : Epoch 147 | loss: 4.09222e-05 | val_loss: 4.17687e-05 | Time: 7369.64 ms [2020-11-11 03:17:14 main:574] : INFO : Epoch 148 | loss: 4.00182e-05 | val_loss: 4.12378e-05 | Time: 7686.42 ms [2020-11-11 03:17:22 main:574] : INFO : Epoch 149 | loss: 4.05439e-05 | val_loss: 4.24924e-05 | Time: 8133.66 ms [2020-11-11 03:17:30 main:574] : INFO : Epoch 150 | loss: 3.9649e-05 | val_loss: 4.26931e-05 | Time: 7859.13 ms [2020-11-11 03:17:38 main:574] : INFO : Epoch 151 | loss: 3.93752e-05 | val_loss: 4.11522e-05 | Time: 7827.9 ms [2020-11-11 03:17:46 main:574] : INFO : Epoch 152 | loss: 3.92313e-05 | val_loss: 4.01546e-05 | Time: 7477.04 ms [2020-11-11 03:17:54 main:574] : INFO : Epoch 153 | loss: 3.90992e-05 | val_loss: 4.11326e-05 | Time: 8154.63 ms [2020-11-11 03:18:02 main:574] : INFO : Epoch 154 | loss: 3.88912e-05 | val_loss: 4.00347e-05 | Time: 7890.27 ms [2020-11-11 03:18:10 main:574] : INFO : Epoch 155 | loss: 3.8751e-05 | val_loss: 4.13384e-05 | Time: 7670.27 ms [2020-11-11 03:18:18 main:574] : INFO : Epoch 156 | loss: 3.86648e-05 | val_loss: 3.87147e-05 | Time: 7657.64 ms [2020-11-11 03:18:26 main:574] : INFO : Epoch 157 | loss: 3.79031e-05 | val_loss: 3.88885e-05 | Time: 8020.34 ms [2020-11-11 03:18:35 main:574] : INFO : Epoch 158 | loss: 3.8144e-05 | val_loss: 4.04683e-05 | Time: 8634.48 ms [2020-11-11 03:18:43 main:574] : INFO : Epoch 159 | loss: 3.78873e-05 | val_loss: 3.85956e-05 | Time: 8138.74 ms [2020-11-11 03:18:50 main:574] : INFO : Epoch 160 | loss: 3.76698e-05 | val_loss: 3.91412e-05 | Time: 7621.49 ms [2020-11-11 03:18:58 main:574] : INFO : Epoch 161 | loss: 3.774e-05 | val_loss: 4.02711e-05 | Time: 7675.54 ms [2020-11-11 03:19:06 main:574] : INFO : Epoch 162 | loss: 3.71268e-05 | val_loss: 3.85834e-05 | Time: 7946.02 ms [2020-11-11 03:19:14 main:574] : INFO : Epoch 163 | loss: 3.69471e-05 | val_loss: 3.83535e-05 | Time: 7933.31 ms [2020-11-11 03:19:22 main:574] : INFO : Epoch 164 | loss: 3.72781e-05 | val_loss: 3.82238e-05 | Time: 7588.73 ms [2020-11-11 03:19:30 main:574] : INFO : Epoch 165 | loss: 3.67717e-05 | val_loss: 3.98374e-05 | Time: 7672.78 ms [2020-11-11 03:19:38 main:574] : INFO : Epoch 166 | loss: 3.69932e-05 | val_loss: 3.92155e-05 | Time: 7650.17 ms [2020-11-11 03:19:46 main:574] : INFO : Epoch 167 | loss: 3.6232e-05 | val_loss: 3.66427e-05 | Time: 7967.9 ms [2020-11-11 03:19:54 main:574] : INFO : Epoch 168 | loss: 3.58258e-05 | val_loss: 3.77405e-05 | Time: 7547.48 ms [2020-11-11 03:20:02 main:574] : INFO : Epoch 169 | loss: 3.58451e-05 | val_loss: 3.69049e-05 | Time: 7777.14 ms [2020-11-11 03:20:10 main:574] : INFO : Epoch 170 | loss: 3.63007e-05 | val_loss: 3.72271e-05 | Time: 7933.46 ms [2020-11-11 03:20:17 main:574] : INFO : Epoch 171 | loss: 3.57075e-05 | val_loss: 3.68161e-05 | Time: 7630.05 ms [2020-11-11 03:20:25 main:574] : INFO : Epoch 172 | loss: 3.53735e-05 | val_loss: 3.78764e-05 | Time: 7995.54 ms [2020-11-11 03:20:33 main:574] : INFO : Epoch 173 | loss: 3.47478e-05 | val_loss: 3.6616e-05 | Time: 7917.79 ms [2020-11-11 03:20:41 main:574] : INFO : Epoch 174 | loss: 3.54931e-05 | val_loss: 3.73746e-05 | Time: 7689.83 ms [2020-11-11 03:20:49 main:574] : INFO : Epoch 175 | loss: 3.49353e-05 | val_loss: 3.83895e-05 | Time: 8178.96 ms [2020-11-11 03:20:57 main:574] : INFO : Epoch 176 | loss: 3.554e-05 | val_loss: 3.59174e-05 | Time: 7544.18 ms [2020-11-11 03:21:05 main:574] : INFO : Epoch 177 | loss: 3.46468e-05 | val_loss: 3.47112e-05 | Time: 7728.08 ms [2020-11-11 03:21:13 main:574] : INFO : Epoch 178 | loss: 3.42928e-05 | val_loss: 3.52794e-05 | Time: 7926.33 ms [2020-11-11 03:21:21 main:574] : INFO : Epoch 179 | loss: 3.42697e-05 | val_loss: 3.51119e-05 | Time: 7530.64 ms [2020-11-11 03:21:29 main:574] : INFO : Epoch 180 | loss: 3.39168e-05 | val_loss: 3.54993e-05 | Time: 8087.99 ms [2020-11-11 03:21:37 main:574] : INFO : Epoch 181 | loss: 3.36104e-05 | val_loss: 3.56126e-05 | Time: 8363.84 ms [2020-11-11 03:21:45 main:574] : INFO : Epoch 182 | loss: 3.35362e-05 | val_loss: 3.4543e-05 | Time: 8260.14 ms [2020-11-11 03:21:53 main:574] : INFO : Epoch 183 | loss: 3.33451e-05 | val_loss: 3.49335e-05 | Time: 7839.48 ms [2020-11-11 03:22:01 main:574] : INFO : Epoch 184 | loss: 3.33101e-05 | val_loss: 3.47141e-05 | Time: 7854.69 ms [2020-11-11 03:22:09 main:574] : INFO : Epoch 185 | loss: 3.35256e-05 | val_loss: 3.54952e-05 | Time: 7633.2 ms [2020-11-11 03:22:17 main:574] : INFO : Epoch 186 | loss: 3.30325e-05 | val_loss: 3.4316e-05 | Time: 7919.72 ms [2020-11-11 03:22:25 main:574] : INFO : Epoch 187 | loss: 3.28273e-05 | val_loss: 3.27342e-05 | Time: 7834.73 ms [2020-11-11 03:22:33 main:574] : INFO : Epoch 188 | loss: 3.32038e-05 | val_loss: 3.68373e-05 | Time: 7854.1 ms [2020-11-11 03:22:41 main:574] : INFO : Epoch 189 | loss: 3.30926e-05 | val_loss: 3.4351e-05 | Time: 7458.9 ms [2020-11-11 03:22:49 main:574] : INFO : Epoch 190 | loss: 3.23541e-05 | val_loss: 3.33075e-05 | Time: 8046.95 ms [2020-11-11 03:22:57 main:574] : INFO : Epoch 191 | loss: 3.29067e-05 | val_loss: 3.28561e-05 | Time: 7977.44 ms [2020-11-11 03:23:04 main:574] : INFO : Epoch 192 | loss: 3.18639e-05 | val_loss: 3.36014e-05 | Time: 7662.71 ms [2020-11-11 03:23:05 main:597] : INFO : Saving trained model to model-final.pt, val_loss 3.36014e-05 [2020-11-11 03:23:05 main:603] : INFO : Saving end state to config to file [2020-11-11 03:23:05 main:608] : INFO : Success, exiting.. 03:23:05 (2808): 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)