Task 2806286
| Name | rand_automata_0082-1604984849-1380-0_1 |
| Workunit | 1264434 |
| Created | 10 Nov 2020, 5:26:08 UTC |
| Sent | 10 Nov 2020, 6:02:35 UTC |
| Report deadline | 11 Nov 2020, 4:32:35 UTC |
| Received | 10 Nov 2020, 23:06:51 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 563 |
| Run time | 25 min 15 sec |
| CPU time | 24 min 25 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 |
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 1660 Ti) [2020-11-10 23:33:49 main:435] : INFO : Set logging level to 1 [2020-11-10 23:33:49 main:441] : INFO : Running in BOINC Client mode [2020-11-10 23:33:49 main:444] : INFO : Resolving all filenames [2020-11-10 23:33:49 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-train-val-dataset.hdf5 (exists = 1) [2020-11-10 23:33:49 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-1604984849-1380-0_1_r2022892749_1 (exists = 0) [2020-11-10 23:33:49 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-1604984849-1380-0_1_r2022892749_0 (exists = 0) [2020-11-10 23:33:49 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 0) [2020-11-10 23:33:49 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-10 23:33:49 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-train-val-dataset.hdf5 [2020-11-10 23:33:49 main:474] : INFO : Configuration: [2020-11-10 23:33:50 main:475] : INFO : Model type: LSTM [2020-11-10 23:33:50 main:476] : INFO : Validation Loss Threshold: 0.0001 [2020-11-10 23:33:50 main:477] : INFO : Max Epochs: 192 [2020-11-10 23:33:50 main:478] : INFO : Batch Size: 32 [2020-11-10 23:33:50 main:479] : INFO : Learning Rate: 0.001 [2020-11-10 23:33:50 main:480] : INFO : Patience: 10 [2020-11-10 23:33:50 main:481] : INFO : Hidden Width: 64 [2020-11-10 23:33:50 main:482] : INFO : # Recurrent Layers: 4 [2020-11-10 23:33:50 main:483] : INFO : # Backend Layers: 2 [2020-11-10 23:33:50 main:484] : INFO : # Threads: 1 [2020-11-10 23:33:50 main:486] : INFO : Preparing Dataset [2020-11-10 23:33:50 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-train-val-dataset.hdf5 into memory [2020-11-10 23:33:50 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-train-val-dataset.hdf5 into memory [2020-11-10 23:33:52 load:106] : INFO : Successfully loaded dataset of 4096 examples into memory. [2020-11-10 23:33:52 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-train-val-dataset.hdf5 into memory [2020-11-10 23:33:52 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-train-val-dataset.hdf5 into memory [2020-11-10 23:33:52 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-10 23:33:52 main:494] : INFO : Creating Model [2020-11-10 23:33:52 main:507] : INFO : Preparing config file [2020-11-10 23:33:52 main:519] : INFO : Creating new config file [2020-11-10 23:33:54 main:559] : INFO : Loading DataLoader into Memory [2020-11-10 23:33:54 main:562] : INFO : Starting Training [2020-11-10 23:34:02 main:574] : INFO : Epoch 1 | loss: 0.0655053 | val_loss: 0.0643439 | Time: 7718.55 ms [2020-11-10 23:34:09 main:574] : INFO : Epoch 2 | loss: 0.0630214 | val_loss: 0.0615837 | Time: 7248.26 ms [2020-11-10 23:34:16 main:574] : INFO : Epoch 3 | loss: 0.0596083 | val_loss: 0.0579804 | Time: 7296.56 ms [2020-11-10 23:34:24 main:574] : INFO : Epoch 4 | loss: 0.0567746 | val_loss: 0.0556222 | Time: 7298.36 ms [2020-11-10 23:34:31 main:574] : INFO : Epoch 5 | loss: 0.0547395 | val_loss: 0.0540139 | Time: 7357.56 ms [2020-11-10 23:34:38 main:574] : INFO : Epoch 6 | loss: 0.0532473 | val_loss: 0.052631 | Time: 7293.7 ms [2020-11-10 23:34:46 main:574] : INFO : Epoch 7 | loss: 0.052036 | val_loss: 0.051595 | Time: 7336.26 ms [2020-11-10 23:34:53 main:574] : INFO : Epoch 8 | loss: 0.0509166 | val_loss: 0.0504891 | Time: 7332.66 ms [2020-11-10 23:35:01 main:574] : INFO : Epoch 9 | loss: 0.0498185 | val_loss: 0.0495031 | Time: 7487.66 ms [2020-11-10 23:35:08 main:574] : INFO : Epoch 10 | loss: 0.0487726 | val_loss: 0.0482308 | Time: 7510.76 ms [2020-11-10 23:35:16 main:574] : INFO : Epoch 11 | loss: 0.0476151 | val_loss: 0.0471796 | Time: 7535.18 ms [2020-11-10 23:35:24 main:574] : INFO : Epoch 12 | loss: 0.0464695 | val_loss: 0.0460442 | Time: 7689.29 ms [2020-11-10 23:35:31 main:574] : INFO : Epoch 13 | loss: 0.0451975 | val_loss: 0.0448543 | Time: 7552.9 ms [2020-11-10 23:35:39 main:574] : INFO : Epoch 14 | loss: 0.0439339 | val_loss: 0.0433707 | Time: 7525.12 ms [2020-11-10 23:35:46 main:574] : INFO : Epoch 15 | loss: 0.0422606 | val_loss: 0.0419211 | Time: 7426.08 ms [2020-11-10 23:35:54 main:574] : INFO : Epoch 16 | loss: 0.0406585 | val_loss: 0.0401216 | Time: 7551.32 ms [2020-11-10 23:36:02 main:574] : INFO : Epoch 17 | loss: 0.0388475 | val_loss: 0.0382637 | Time: 7598.71 ms [2020-11-10 23:36:09 main:574] : INFO : Epoch 18 | loss: 0.0367743 | val_loss: 0.0362085 | Time: 7622.82 ms [2020-11-10 23:36:17 main:574] : INFO : Epoch 19 | loss: 0.0344471 | val_loss: 0.0341238 | Time: 7654.98 ms [2020-11-10 23:36:25 main:574] : INFO : Epoch 20 | loss: 0.0320263 | val_loss: 0.0319547 | Time: 7698.35 ms [2020-11-10 23:36:32 main:574] : INFO : Epoch 21 | loss: 0.0295616 | val_loss: 0.0297614 | Time: 7551.05 ms [2020-11-10 23:36:40 main:574] : INFO : Epoch 22 | loss: 0.027888 | val_loss: 0.0311347 | Time: 7552.77 ms [2020-11-10 23:36:48 main:574] : INFO : Epoch 23 | loss: 0.0257838 | val_loss: 0.0305071 | Time: 7500.49 ms [2020-11-10 23:36:55 main:574] : INFO : Epoch 24 | loss: 0.0319878 | val_loss: 0.0234862 | Time: 7443.73 ms [2020-11-10 23:37:03 main:574] : INFO : Epoch 25 | loss: 0.0222393 | val_loss: 0.0224807 | Time: 7467.67 ms [2020-11-10 23:37:10 main:574] : INFO : Epoch 26 | loss: 0.0202018 | val_loss: 0.0209013 | Time: 7486.49 ms [2020-11-10 23:37:18 main:574] : INFO : Epoch 27 | loss: 0.0201092 | val_loss: 0.0229108 | Time: 7588.5 ms [2020-11-10 23:37:25 main:574] : INFO : Epoch 28 | loss: 0.0310077 | val_loss: 0.060666 | Time: 7462.68 ms [2020-11-10 23:37:33 main:574] : INFO : Epoch 29 | loss: 0.0550421 | val_loss: 0.0475089 | Time: 7616.97 ms [2020-11-10 23:37:41 main:574] : INFO : Epoch 30 | loss: 0.0328927 | val_loss: 0.0218876 | Time: 7615.93 ms [2020-11-10 23:37:48 main:574] : INFO : Epoch 31 | loss: 0.0203901 | val_loss: 0.0195673 | Time: 7529.34 ms [2020-11-10 23:37:56 main:574] : INFO : Epoch 32 | loss: 0.0166014 | val_loss: 0.0217384 | Time: 7592.41 ms [2020-11-10 23:38:04 main:574] : INFO : Epoch 33 | loss: 0.0183331 | val_loss: 0.0178071 | Time: 7586.34 ms [2020-11-10 23:38:11 main:574] : INFO : Epoch 34 | loss: 0.0145288 | val_loss: 0.0141431 | Time: 7615 ms [2020-11-10 23:38:19 main:574] : INFO : Epoch 35 | loss: 0.0131223 | val_loss: 0.015447 | Time: 7651.16 ms [2020-11-10 23:38:27 main:574] : INFO : Epoch 36 | loss: 0.0126653 | val_loss: 0.0158189 | Time: 7759.33 ms [2020-11-10 23:38:35 main:574] : INFO : Epoch 37 | loss: 0.0128323 | val_loss: 0.0177716 | Time: 7816.31 ms [2020-11-10 23:38:43 main:574] : INFO : Epoch 38 | loss: 0.0122048 | val_loss: 0.0113251 | Time: 7683.62 ms [2020-11-10 23:38:50 main:574] : INFO : Epoch 39 | loss: 0.0106636 | val_loss: 0.013512 | Time: 7726.78 ms [2020-11-10 23:38:58 main:574] : INFO : Epoch 40 | loss: 0.0106897 | val_loss: 0.0104652 | Time: 7708.43 ms [2020-11-10 23:39:06 main:574] : INFO : Epoch 41 | loss: 0.00991342 | val_loss: 0.0101399 | Time: 7679.34 ms [2020-11-10 23:39:14 main:574] : INFO : Epoch 42 | loss: 0.00954557 | val_loss: 0.00974473 | Time: 7630.73 ms [2020-11-10 23:39:21 main:574] : INFO : Epoch 43 | loss: 0.0092327 | val_loss: 0.0101211 | Time: 7741.11 ms [2020-11-10 23:39:29 main:574] : INFO : Epoch 44 | loss: 0.00903447 | val_loss: 0.00922051 | Time: 7800.44 ms [2020-11-10 23:39:37 main:574] : INFO : Epoch 45 | loss: 0.00878201 | val_loss: 0.0089991 | Time: 7709.56 ms [2020-11-10 23:39:45 main:574] : INFO : Epoch 46 | loss: 0.00857048 | val_loss: 0.00911784 | Time: 7653.56 ms [2020-11-10 23:39:53 main:574] : INFO : Epoch 47 | loss: 0.00904782 | val_loss: 0.0105987 | Time: 8169.36 ms [2020-11-10 23:40:01 main:574] : INFO : Epoch 48 | loss: 0.00848894 | val_loss: 0.0083519 | Time: 7755.15 ms [2020-11-10 23:40:09 main:574] : INFO : Epoch 49 | loss: 0.00788478 | val_loss: 0.00798675 | Time: 7741.75 ms [2020-11-10 23:40:17 main:574] : INFO : Epoch 50 | loss: 0.0076342 | val_loss: 0.00774081 | Time: 7794.55 ms [2020-11-10 23:40:24 main:574] : INFO : Epoch 51 | loss: 0.00753927 | val_loss: 0.00757875 | Time: 7745.62 ms [2020-11-10 23:40:32 main:574] : INFO : Epoch 52 | loss: 0.00721831 | val_loss: 0.00731339 | Time: 7673.59 ms [2020-11-10 23:40:40 main:574] : INFO : Epoch 53 | loss: 0.00700096 | val_loss: 0.00711693 | Time: 7638.41 ms [2020-11-10 23:40:47 main:574] : INFO : Epoch 54 | loss: 0.00680243 | val_loss: 0.00688217 | Time: 7656.36 ms [2020-11-10 23:40:55 main:574] : INFO : Epoch 55 | loss: 0.00660814 | val_loss: 0.00667764 | Time: 7651.32 ms [2020-11-10 23:41:03 main:574] : INFO : Epoch 56 | loss: 0.00641759 | val_loss: 0.00654447 | Time: 7680.71 ms [2020-11-10 23:41:11 main:574] : INFO : Epoch 57 | loss: 0.00624054 | val_loss: 0.00626345 | Time: 7654.36 ms [2020-11-10 23:41:18 main:574] : INFO : Epoch 58 | loss: 0.00603501 | val_loss: 0.00607101 | Time: 7687.99 ms [2020-11-10 23:41:26 main:574] : INFO : Epoch 59 | loss: 0.00585429 | val_loss: 0.00586977 | Time: 7690.12 ms [2020-11-10 23:41:34 main:574] : INFO : Epoch 60 | loss: 0.00567362 | val_loss: 0.0056833 | Time: 7613.03 ms [2020-11-10 23:41:42 main:574] : INFO : Epoch 61 | loss: 0.00549837 | val_loss: 0.00552451 | Time: 7788.03 ms [2020-11-10 23:41:49 main:574] : INFO : Epoch 62 | loss: 0.00532808 | val_loss: 0.00532337 | Time: 7753.32 ms [2020-11-10 23:41:57 main:574] : INFO : Epoch 63 | loss: 0.00515706 | val_loss: 0.00514703 | Time: 7728.7 ms [2020-11-10 23:42:05 main:574] : INFO : Epoch 64 | loss: 0.0049809 | val_loss: 0.00498058 | Time: 7712.84 ms [2020-11-10 23:42:13 main:574] : INFO : Epoch 65 | loss: 0.00481925 | val_loss: 0.0048095 | Time: 7752.7 ms [2020-11-10 23:42:21 main:574] : INFO : Epoch 66 | loss: 0.00465944 | val_loss: 0.00465479 | Time: 7747.11 ms [2020-11-10 23:42:28 main:574] : INFO : Epoch 67 | loss: 0.00450307 | val_loss: 0.00449511 | Time: 7707.97 ms [2020-11-10 23:42:36 main:574] : INFO : Epoch 68 | loss: 0.00435039 | val_loss: 0.00435094 | Time: 7724.77 ms [2020-11-10 23:42:44 main:574] : INFO : Epoch 69 | loss: 0.00420168 | val_loss: 0.00418684 | Time: 7752.14 ms [2020-11-10 23:42:52 main:574] : INFO : Epoch 70 | loss: 0.00405729 | val_loss: 0.00403515 | Time: 7756.15 ms [2020-11-10 23:43:00 main:574] : INFO : Epoch 71 | loss: 0.00391707 | val_loss: 0.00388727 | Time: 7822.01 ms [2020-11-10 23:43:08 main:574] : INFO : Epoch 72 | loss: 0.00377968 | val_loss: 0.00374821 | Time: 7761.23 ms [2020-11-10 23:43:15 main:574] : INFO : Epoch 73 | loss: 0.00364751 | val_loss: 0.00361171 | Time: 7669.71 ms [2020-11-10 23:43:23 main:574] : INFO : Epoch 74 | loss: 0.00351649 | val_loss: 0.00348161 | Time: 7746.64 ms [2020-11-10 23:43:31 main:574] : INFO : Epoch 75 | loss: 0.00339036 | val_loss: 0.00335683 | Time: 7752.84 ms [2020-11-10 23:43:39 main:574] : INFO : Epoch 76 | loss: 0.00326655 | val_loss: 0.00322252 | Time: 7677.87 ms [2020-11-10 23:43:46 main:574] : INFO : Epoch 77 | loss: 0.00314805 | val_loss: 0.00310337 | Time: 7556.9 ms [2020-11-10 23:43:54 main:574] : INFO : Epoch 78 | loss: 0.0030288 | val_loss: 0.00298573 | Time: 7584.07 ms [2020-11-10 23:44:02 main:574] : INFO : Epoch 79 | loss: 0.00291403 | val_loss: 0.002869 | Time: 7752.1 ms [2020-11-10 23:44:10 main:574] : INFO : Epoch 80 | loss: 0.00280356 | val_loss: 0.00276235 | Time: 7664.18 ms [2020-11-10 23:44:17 main:574] : INFO : Epoch 81 | loss: 0.00269398 | val_loss: 0.00265147 | Time: 7733.05 ms [2020-11-10 23:44:25 main:574] : INFO : Epoch 82 | loss: 0.00258941 | val_loss: 0.00254554 | Time: 7580.88 ms [2020-11-10 23:44:33 main:574] : INFO : Epoch 83 | loss: 0.00248861 | val_loss: 0.00244172 | Time: 7640.31 ms [2020-11-10 23:44:41 main:574] : INFO : Epoch 84 | loss: 0.00239073 | val_loss: 0.00234531 | Time: 7841.48 ms [2020-11-10 23:44:48 main:574] : INFO : Epoch 85 | loss: 0.00229744 | val_loss: 0.00225607 | Time: 7624.54 ms [2020-11-10 23:44:56 main:574] : INFO : Epoch 86 | loss: 0.00220597 | val_loss: 0.00216676 | Time: 7739.9 ms [2020-11-10 23:45:04 main:574] : INFO : Epoch 87 | loss: 0.00212148 | val_loss: 0.00208545 | Time: 7745.07 ms [2020-11-10 23:45:12 main:574] : INFO : Epoch 88 | loss: 0.00203814 | val_loss: 0.0020004 | Time: 7673.04 ms [2020-11-10 23:45:19 main:574] : INFO : Epoch 89 | loss: 0.00195976 | val_loss: 0.00192158 | Time: 7667.56 ms [2020-11-10 23:45:27 main:574] : INFO : Epoch 90 | loss: 0.00188298 | val_loss: 0.00184518 | Time: 7591.44 ms [2020-11-10 23:45:35 main:574] : INFO : Epoch 91 | loss: 0.00180954 | val_loss: 0.00177637 | Time: 7573.34 ms [2020-11-10 23:45:42 main:574] : INFO : Epoch 92 | loss: 0.00174041 | val_loss: 0.00170807 | Time: 7572.76 ms [2020-11-10 23:45:50 main:574] : INFO : Epoch 93 | loss: 0.00167572 | val_loss: 0.00164467 | Time: 7719.87 ms [2020-11-10 23:45:58 main:574] : INFO : Epoch 94 | loss: 0.00161184 | val_loss: 0.00158533 | Time: 7727.27 ms [2020-11-10 23:46:06 main:574] : INFO : Epoch 95 | loss: 0.00154987 | val_loss: 0.00152273 | Time: 7620.82 ms [2020-11-10 23:46:13 main:574] : INFO : Epoch 96 | loss: 0.00149426 | val_loss: 0.00147401 | Time: 7554.13 ms [2020-11-10 23:46:21 main:574] : INFO : Epoch 97 | loss: 0.00144146 | val_loss: 0.00141793 | Time: 7648.12 ms [2020-11-10 23:46:29 main:574] : INFO : Epoch 98 | loss: 0.00139189 | val_loss: 0.00136252 | Time: 7864.54 ms [2020-11-10 23:46:37 main:574] : INFO : Epoch 99 | loss: 0.00133829 | val_loss: 0.00132144 | Time: 7725.98 ms [2020-11-10 23:46:45 main:574] : INFO : Epoch 100 | loss: 0.00129227 | val_loss: 0.00126964 | Time: 7940.77 ms [2020-11-10 23:46:52 main:574] : INFO : Epoch 101 | loss: 0.00124801 | val_loss: 0.00122846 | Time: 7494.36 ms [2020-11-10 23:47:00 main:574] : INFO : Epoch 102 | loss: 0.00120757 | val_loss: 0.00119171 | Time: 7678.56 ms [2020-11-10 23:47:08 main:574] : INFO : Epoch 103 | loss: 0.00116214 | val_loss: 0.0011454 | Time: 7753.63 ms [2020-11-10 23:47:16 main:574] : INFO : Epoch 104 | loss: 0.00112276 | val_loss: 0.00111022 | Time: 7779.13 ms [2020-11-10 23:47:24 main:574] : INFO : Epoch 105 | loss: 0.00108413 | val_loss: 0.00107426 | Time: 7849.21 ms [2020-11-10 23:47:31 main:574] : INFO : Epoch 106 | loss: 0.0010489 | val_loss: 0.00103548 | Time: 7661.06 ms [2020-11-10 23:47:39 main:574] : INFO : Epoch 107 | loss: 0.00101331 | val_loss: 0.00100132 | Time: 7713.97 ms [2020-11-10 23:47:47 main:574] : INFO : Epoch 108 | loss: 0.000980186 | val_loss: 0.000963727 | Time: 7626.33 ms [2020-11-10 23:47:54 main:574] : INFO : Epoch 109 | loss: 0.000947472 | val_loss: 0.000938059 | Time: 7605.16 ms [2020-11-10 23:48:02 main:574] : INFO : Epoch 110 | loss: 0.0010079 | val_loss: 0.000923164 | Time: 7662.91 ms [2020-11-10 23:48:10 main:574] : INFO : Epoch 111 | loss: 0.000892787 | val_loss: 0.000879005 | Time: 7816.62 ms [2020-11-10 23:48:18 main:574] : INFO : Epoch 112 | loss: 0.000863146 | val_loss: 0.000852956 | Time: 7725.22 ms [2020-11-10 23:48:26 main:574] : INFO : Epoch 113 | loss: 0.000837966 | val_loss: 0.00083328 | Time: 7826.81 ms [2020-11-10 23:48:34 main:574] : INFO : Epoch 114 | loss: 0.000814486 | val_loss: 0.000804971 | Time: 7740.32 ms [2020-11-10 23:48:41 main:574] : INFO : Epoch 115 | loss: 0.000792054 | val_loss: 0.000787395 | Time: 7814.64 ms [2020-11-10 23:48:49 main:574] : INFO : Epoch 116 | loss: 0.000769912 | val_loss: 0.000767151 | Time: 7658.36 ms [2020-11-10 23:48:57 main:574] : INFO : Epoch 117 | loss: 0.000748922 | val_loss: 0.000747369 | Time: 7682.99 ms [2020-11-10 23:49:05 main:574] : INFO : Epoch 118 | loss: 0.000729114 | val_loss: 0.000721859 | Time: 7620.84 ms [2020-11-10 23:49:12 main:574] : INFO : Epoch 119 | loss: 0.000709439 | val_loss: 0.000707353 | Time: 7911.4 ms [2020-11-10 23:49:20 main:574] : INFO : Epoch 120 | loss: 0.000690078 | val_loss: 0.000687968 | Time: 7710.42 ms [2020-11-10 23:49:28 main:574] : INFO : Epoch 121 | loss: 0.000671531 | val_loss: 0.000669134 | Time: 7756.64 ms [2020-11-10 23:49:36 main:574] : INFO : Epoch 122 | loss: 0.00065513 | val_loss: 0.000652369 | Time: 7892.61 ms [2020-11-10 23:49:44 main:574] : INFO : Epoch 123 | loss: 0.000637291 | val_loss: 0.000636693 | Time: 7836.34 ms [2020-11-10 23:49:52 main:574] : INFO : Epoch 124 | loss: 0.000620646 | val_loss: 0.000617453 | Time: 7700.65 ms [2020-11-10 23:49:59 main:574] : INFO : Epoch 125 | loss: 0.000634188 | val_loss: 0.000604577 | Time: 7646.65 ms [2020-11-10 23:50:07 main:574] : INFO : Epoch 126 | loss: 0.000589777 | val_loss: 0.000591747 | Time: 7695.34 ms [2020-11-10 23:50:15 main:574] : INFO : Epoch 127 | loss: 0.000576058 | val_loss: 0.000577917 | Time: 7707.9 ms [2020-11-10 23:50:23 main:574] : INFO : Epoch 128 | loss: 0.000563313 | val_loss: 0.000565573 | Time: 7710.51 ms [2020-11-10 23:50:31 main:574] : INFO : Epoch 129 | loss: 0.000549909 | val_loss: 0.000550381 | Time: 7852.14 ms [2020-11-10 23:50:39 main:574] : INFO : Epoch 130 | loss: 0.000537566 | val_loss: 0.000538983 | Time: 7822.06 ms [2020-11-10 23:50:46 main:574] : INFO : Epoch 131 | loss: 0.000526004 | val_loss: 0.00052675 | Time: 7726.08 ms [2020-11-10 23:50:54 main:574] : INFO : Epoch 132 | loss: 0.000513512 | val_loss: 0.000513157 | Time: 7759.99 ms [2020-11-10 23:51:02 main:574] : INFO : Epoch 133 | loss: 0.00050251 | val_loss: 0.000505673 | Time: 7786.5 ms [2020-11-10 23:51:10 main:574] : INFO : Epoch 134 | loss: 0.00049349 | val_loss: 0.000494725 | Time: 7685.34 ms [2020-11-10 23:51:18 main:574] : INFO : Epoch 135 | loss: 0.000482012 | val_loss: 0.000481541 | Time: 7725.62 ms [2020-11-10 23:51:25 main:574] : INFO : Epoch 136 | loss: 0.000471332 | val_loss: 0.000475767 | Time: 7724.87 ms [2020-11-10 23:51:33 main:574] : INFO : Epoch 137 | loss: 0.000461619 | val_loss: 0.000464845 | Time: 7760.82 ms [2020-11-10 23:51:41 main:574] : INFO : Epoch 138 | loss: 0.000452679 | val_loss: 0.000455227 | Time: 7747.46 ms [2020-11-10 23:51:49 main:574] : INFO : Epoch 139 | loss: 0.000444281 | val_loss: 0.000446005 | Time: 7761.43 ms [2020-11-10 23:51:57 main:574] : INFO : Epoch 140 | loss: 0.000435025 | val_loss: 0.000438097 | Time: 8166.88 ms [2020-11-10 23:52:05 main:574] : INFO : Epoch 141 | loss: 0.000426857 | val_loss: 0.000428691 | Time: 7716.83 ms [2020-11-10 23:52:13 main:574] : INFO : Epoch 142 | loss: 0.000418755 | val_loss: 0.000423714 | Time: 7741.38 ms [2020-11-10 23:52:21 main:574] : INFO : Epoch 143 | loss: 0.000410682 | val_loss: 0.000412132 | Time: 7734.68 ms [2020-11-10 23:52:28 main:574] : INFO : Epoch 144 | loss: 0.000403554 | val_loss: 0.00040445 | Time: 7705.15 ms [2020-11-10 23:52:36 main:574] : INFO : Epoch 145 | loss: 0.000395577 | val_loss: 0.000396214 | Time: 7871.23 ms [2020-11-10 23:52:44 main:574] : INFO : Epoch 146 | loss: 0.000388337 | val_loss: 0.000390743 | Time: 7917.59 ms [2020-11-10 23:52:52 main:574] : INFO : Epoch 147 | loss: 0.000381895 | val_loss: 0.000384676 | Time: 7766.67 ms [2020-11-10 23:53:00 main:574] : INFO : Epoch 148 | loss: 0.00037555 | val_loss: 0.000384549 | Time: 7886.83 ms [2020-11-10 23:53:08 main:574] : INFO : Epoch 149 | loss: 0.000369596 | val_loss: 0.00037136 | Time: 8026.48 ms [2020-11-10 23:53:16 main:574] : INFO : Epoch 150 | loss: 0.000363642 | val_loss: 0.000363737 | Time: 7857.89 ms [2020-11-10 23:53:24 main:574] : INFO : Epoch 151 | loss: 0.000356497 | val_loss: 0.000358121 | Time: 7651.26 ms [2020-11-10 23:53:32 main:574] : INFO : Epoch 152 | loss: 0.000352263 | val_loss: 0.000354666 | Time: 7852.43 ms [2020-11-10 23:53:39 main:574] : INFO : Epoch 153 | loss: 0.000345545 | val_loss: 0.000347353 | Time: 7654.8 ms [2020-11-10 23:53:47 main:574] : INFO : Epoch 154 | loss: 0.000339934 | val_loss: 0.000341843 | Time: 7834.4 ms [2020-11-10 23:53:55 main:574] : INFO : Epoch 155 | loss: 0.000335209 | val_loss: 0.000338117 | Time: 7724.66 ms [2020-11-10 23:54:03 main:574] : INFO : Epoch 156 | loss: 0.000329648 | val_loss: 0.0003312 | Time: 7796.65 ms [2020-11-10 23:54:11 main:574] : INFO : Epoch 157 | loss: 0.000324357 | val_loss: 0.000328743 | Time: 7779.55 ms [2020-11-10 23:54:19 main:574] : INFO : Epoch 158 | loss: 0.000320006 | val_loss: 0.000322616 | Time: 7696.02 ms [2020-11-10 23:54:27 main:574] : INFO : Epoch 159 | loss: 0.000315215 | val_loss: 0.000319064 | Time: 7829.24 ms [2020-11-10 23:54:34 main:574] : INFO : Epoch 160 | loss: 0.000310189 | val_loss: 0.000313923 | Time: 7681.06 ms [2020-11-10 23:54:42 main:574] : INFO : Epoch 161 | loss: 0.000306283 | val_loss: 0.000309682 | Time: 7789.03 ms [2020-11-10 23:54:50 main:574] : INFO : Epoch 162 | loss: 0.000301403 | val_loss: 0.00030403 | Time: 7779.98 ms [2020-11-10 23:54:58 main:574] : INFO : Epoch 163 | loss: 0.000298318 | val_loss: 0.000299784 | Time: 7641.83 ms [2020-11-10 23:55:06 main:574] : INFO : Epoch 164 | loss: 0.000293489 | val_loss: 0.000294213 | Time: 7756.78 ms [2020-11-10 23:55:13 main:574] : INFO : Epoch 165 | loss: 0.000289218 | val_loss: 0.000290115 | Time: 7653.65 ms [2020-11-10 23:55:21 main:574] : INFO : Epoch 166 | loss: 0.000285874 | val_loss: 0.000292356 | Time: 7620.89 ms [2020-11-10 23:55:29 main:574] : INFO : Epoch 167 | loss: 0.000281853 | val_loss: 0.000283948 | Time: 7801.45 ms [2020-11-10 23:55:37 main:574] : INFO : Epoch 168 | loss: 0.000278032 | val_loss: 0.000279239 | Time: 7681.18 ms [2020-11-10 23:55:44 main:574] : INFO : Epoch 169 | loss: 0.000275037 | val_loss: 0.000274845 | Time: 7680.71 ms [2020-11-10 23:55:52 main:574] : INFO : Epoch 170 | loss: 0.000271121 | val_loss: 0.00027347 | Time: 7821.74 ms [2020-11-10 23:56:00 main:574] : INFO : Epoch 171 | loss: 0.000267874 | val_loss: 0.000271982 | Time: 7759.33 ms [2020-11-10 23:56:08 main:574] : INFO : Epoch 172 | loss: 0.000264276 | val_loss: 0.00026477 | Time: 7719.66 ms [2020-11-10 23:56:15 main:574] : INFO : Epoch 173 | loss: 0.000261372 | val_loss: 0.000266186 | Time: 7520.35 ms [2020-11-10 23:56:23 main:574] : INFO : Epoch 174 | loss: 0.000258137 | val_loss: 0.000260882 | Time: 7872.93 ms [2020-11-10 23:56:31 main:574] : INFO : Epoch 175 | loss: 0.000255278 | val_loss: 0.000256047 | Time: 8031.43 ms [2020-11-10 23:56:39 main:574] : INFO : Epoch 176 | loss: 0.000251687 | val_loss: 0.000258326 | Time: 7841.4 ms [2020-11-10 23:56:47 main:574] : INFO : Epoch 177 | loss: 0.000249115 | val_loss: 0.000251134 | Time: 7880.04 ms [2020-11-10 23:56:55 main:574] : INFO : Epoch 178 | loss: 0.000246206 | val_loss: 0.000247455 | Time: 7847.72 ms [2020-11-10 23:57:03 main:574] : INFO : Epoch 179 | loss: 0.00024285 | val_loss: 0.000246689 | Time: 7818.51 ms [2020-11-10 23:57:11 main:574] : INFO : Epoch 180 | loss: 0.000240718 | val_loss: 0.000241183 | Time: 7750.3 ms [2020-11-10 23:57:19 main:574] : INFO : Epoch 181 | loss: 0.000237336 | val_loss: 0.00023855 | Time: 7664.33 ms [2020-11-10 23:57:26 main:574] : INFO : Epoch 182 | loss: 0.00023582 | val_loss: 0.000236848 | Time: 7673.19 ms [2020-11-10 23:57:34 main:574] : INFO : Epoch 183 | loss: 0.000232785 | val_loss: 0.000234206 | Time: 7776.7 ms [2020-11-10 23:57:42 main:574] : INFO : Epoch 184 | loss: 0.000230243 | val_loss: 0.000233263 | Time: 8003.13 ms [2020-11-10 23:57:50 main:574] : INFO : Epoch 185 | loss: 0.000227575 | val_loss: 0.000230264 | Time: 7884.81 ms [2020-11-10 23:57:58 main:574] : INFO : Epoch 186 | loss: 0.00022517 | val_loss: 0.000225967 | Time: 7789.29 ms [2020-11-10 23:58:06 main:574] : INFO : Epoch 187 | loss: 0.00022266 | val_loss: 0.000227962 | Time: 7621.78 ms [2020-11-10 23:58:13 main:574] : INFO : Epoch 188 | loss: 0.000220612 | val_loss: 0.000222455 | Time: 7640.59 ms [2020-11-10 23:58:21 main:574] : INFO : Epoch 189 | loss: 0.000217802 | val_loss: 0.000219902 | Time: 7626.01 ms [2020-11-10 23:58:29 main:574] : INFO : Epoch 190 | loss: 0.000215734 | val_loss: 0.000218161 | Time: 7767.88 ms [2020-11-10 23:58:37 main:574] : INFO : Epoch 191 | loss: 0.000214358 | val_loss: 0.000218766 | Time: 7790.02 ms [2020-11-10 23:58:45 main:574] : INFO : Epoch 192 | loss: 0.000212258 | val_loss: 0.000215443 | Time: 7758.2 ms [2020-11-10 23:58:45 main:597] : INFO : Saving trained model to model-final.pt, val_loss 0.000215443 [2020-11-10 23:58:45 main:603] : INFO : Saving end state to config to file [2020-11-10 23:58:45 main:608] : INFO : Success, exiting.. 23:58:45 (8272): 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)