Task 3074666
| Name | rand_automata_0025-1606117988-22454-90_0 |
| Workunit | 1402979 |
| Created | 26 Nov 2020, 20:14:32 UTC |
| Sent | 26 Nov 2020, 20:24:20 UTC |
| Report deadline | 3 Dec 2020, 20:24:20 UTC |
| Received | 26 Nov 2020, 20:34:45 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 4754 |
| Run time | 9 min 59 sec |
| CPU time | 9 min 54 sec |
| Validate state | Valid |
| Credit | 959.40 |
| Device peak FLOPS | 3,339.24 GFLOPS |
| Application version | Machine Learning Dataset Generator (test) v9.80 (cuda10200) x86_64-pc-linux-gnu |
| Peak working set size | 2.19 GB |
| Peak swap size | 9.99 GB |
| Peak disk usage | 2.98 GB |
Stderr output
<core_client_version>7.14.2</core_client_version> <![CDATA[ <stderr_txt> DEBUG: Args: ../../projects/www.mlcathome.org_mlcathome/mlds-gpu_9.80_x86_64-pc-linux-gnu__cuda10200 -c -a LSTM --lr 0.001 -w 64 -b 2 -s 32 --maxepoch 192 nthreads: 1 gpudev: 0 Re-exec()-ing to set environment correctly Machine Learning Dataset Generator v9.80 (Linux/x86_64) (libTorch: release/1.7 GPU: GeForce GTX 1650) [2020-11-26 15:24:37 main:442] : INFO : Set logging level to 1 [2020-11-26 15:24:37 main:448] : INFO : Running in BOINC Client mode [2020-11-26 15:24:37 main:451] : INFO : Resolving all filenames [2020-11-26 15:24:37 main:459] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-train-val-dataset.hdf5 (exists = 1) [2020-11-26 15:24:37 main:459] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-1606117988-22454-90_0_r150096924_1 (exists = 0) [2020-11-26 15:24:37 main:459] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-1606117988-22454-90_0_r150096924_0 (exists = 0) [2020-11-26 15:24:37 main:459] : INFO : Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-1606117988-22454-90 (exists = 1) [2020-11-26 15:24:37 main:459] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-26 15:24:37 main:479] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-train-val-dataset.hdf5 [2020-11-26 15:24:37 main:481] : INFO : Configuration: [2020-11-26 15:24:37 main:482] : INFO : Model type: LSTM [2020-11-26 15:24:37 main:483] : INFO : Validation Loss Threshold: 0.0001 [2020-11-26 15:24:37 main:484] : INFO : Max Epochs: 192 [2020-11-26 15:24:37 main:485] : INFO : Batch Size: 32 [2020-11-26 15:24:37 main:486] : INFO : Learning Rate: 0.001 [2020-11-26 15:24:37 main:487] : INFO : Patience: 10 [2020-11-26 15:24:37 main:488] : INFO : Hidden Width: 64 [2020-11-26 15:24:37 main:489] : INFO : # Recurrent Layers: 4 [2020-11-26 15:24:37 main:490] : INFO : # Backend Layers: 2 [2020-11-26 15:24:37 main:491] : INFO : # Threads: 1 [2020-11-26 15:24:37 main:493] : INFO : Preparing Dataset [2020-11-26 15:24:37 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-train-val-dataset.hdf5 into memory [2020-11-26 15:24:37 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-train-val-dataset.hdf5 into memory [2020-11-26 15:24:39 load:106] : INFO : Successfully loaded dataset of 4096 examples into memory. [2020-11-26 15:24:39 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-train-val-dataset.hdf5 into memory [2020-11-26 15:24:39 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-train-val-dataset.hdf5 into memory [2020-11-26 15:24:39 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-26 15:24:39 main:501] : INFO : Creating Model [2020-11-26 15:24:39 main:514] : INFO : Preparing config file [2020-11-26 15:24:39 main:526] : INFO : Creating new config file [2020-11-26 15:24:39 main:545] : INFO : This is a continuation WU, loading previous network [2020-11-26 15:24:40 main:566] : INFO : Loading DataLoader into Memory [2020-11-26 15:24:40 main:569] : INFO : Starting Training [2020-11-26 15:24:44 main:581] : INFO : Epoch 1 | loss: 0.0560258 | val_loss: 0.0557318 | Time: 4692.55 ms [2020-11-26 15:24:47 main:581] : INFO : Epoch 2 | loss: 0.0552157 | val_loss: 0.0553352 | Time: 2983.73 ms [2020-11-26 15:24:50 main:581] : INFO : Epoch 3 | loss: 0.0553129 | val_loss: 0.0556871 | Time: 3074.85 ms [2020-11-26 15:24:53 main:581] : INFO : Epoch 4 | loss: 0.0554615 | val_loss: 0.0557266 | Time: 3060.8 ms [2020-11-26 15:24:56 main:581] : INFO : Epoch 5 | loss: 0.0552838 | val_loss: 0.0551839 | Time: 3044.37 ms [2020-11-26 15:24:59 main:581] : INFO : Epoch 6 | loss: 0.0549369 | val_loss: 0.0557101 | Time: 3003 ms [2020-11-26 15:25:02 main:581] : INFO : Epoch 7 | loss: 0.055592 | val_loss: 0.0560539 | Time: 2991.77 ms [2020-11-26 15:25:06 main:581] : INFO : Epoch 8 | loss: 0.0554199 | val_loss: 0.0551964 | Time: 3102.93 ms [2020-11-26 15:25:08 main:581] : INFO : Epoch 9 | loss: 0.0551247 | val_loss: 0.0560309 | Time: 2978.33 ms [2020-11-26 15:25:12 main:581] : INFO : Epoch 10 | loss: 0.0556981 | val_loss: 0.0559628 | Time: 3235.36 ms [2020-11-26 15:25:15 main:581] : INFO : Epoch 11 | loss: 0.0557779 | val_loss: 0.0567346 | Time: 2993.86 ms [2020-11-26 15:25:18 main:581] : INFO : Epoch 12 | loss: 0.0566116 | val_loss: 0.0567795 | Time: 2991.52 ms [2020-11-26 15:25:21 main:581] : INFO : Epoch 13 | loss: 0.0566011 | val_loss: 0.05672 | Time: 3049.92 ms [2020-11-26 15:25:24 main:581] : INFO : Epoch 14 | loss: 0.0565759 | val_loss: 0.0567289 | Time: 3060.08 ms [2020-11-26 15:25:27 main:581] : INFO : Epoch 15 | loss: 0.0565448 | val_loss: 0.0566882 | Time: 3038.67 ms [2020-11-26 15:25:30 main:581] : INFO : Epoch 16 | loss: 0.0564954 | val_loss: 0.0567752 | Time: 3077.68 ms [2020-11-26 15:25:33 main:581] : INFO : Epoch 17 | loss: 0.0566209 | val_loss: 0.0567532 | Time: 3031.38 ms [2020-11-26 15:25:36 main:581] : INFO : Epoch 18 | loss: 0.0565717 | val_loss: 0.0566979 | Time: 3017.29 ms [2020-11-26 15:25:39 main:581] : INFO : Epoch 19 | loss: 0.0564761 | val_loss: 0.0566309 | Time: 3114.31 ms [2020-11-26 15:25:42 main:581] : INFO : Epoch 20 | loss: 0.056457 | val_loss: 0.0566612 | Time: 3249.63 ms [2020-11-26 15:25:45 main:581] : INFO : Epoch 21 | loss: 0.056412 | val_loss: 0.0565404 | Time: 3099.66 ms [2020-11-26 15:25:49 main:581] : INFO : Epoch 22 | loss: 0.0563539 | val_loss: 0.0565333 | Time: 3075.39 ms [2020-11-26 15:25:52 main:581] : INFO : Epoch 23 | loss: 0.0563444 | val_loss: 0.0564315 | Time: 3135.85 ms [2020-11-26 15:25:55 main:581] : INFO : Epoch 24 | loss: 0.0561998 | val_loss: 0.0563569 | Time: 3326.3 ms [2020-11-26 15:25:58 main:581] : INFO : Epoch 25 | loss: 0.0564939 | val_loss: 0.0567496 | Time: 3061.25 ms [2020-11-26 15:26:01 main:581] : INFO : Epoch 26 | loss: 0.0565779 | val_loss: 0.0566201 | Time: 3043.06 ms [2020-11-26 15:26:04 main:581] : INFO : Epoch 27 | loss: 0.0564286 | val_loss: 0.0564053 | Time: 3233.32 ms [2020-11-26 15:26:07 main:581] : INFO : Epoch 28 | loss: 0.0563527 | val_loss: 0.0563182 | Time: 3032.91 ms [2020-11-26 15:26:10 main:581] : INFO : Epoch 29 | loss: 0.056266 | val_loss: 0.0562684 | Time: 3128.41 ms [2020-11-26 15:26:14 main:581] : INFO : Epoch 30 | loss: 0.0562047 | val_loss: 0.0562095 | Time: 3147.23 ms [2020-11-26 15:26:17 main:581] : INFO : Epoch 31 | loss: 0.0562017 | val_loss: 0.0562767 | Time: 3081.08 ms [2020-11-26 15:26:20 main:581] : INFO : Epoch 32 | loss: 0.0560929 | val_loss: 0.0560998 | Time: 3066.37 ms [2020-11-26 15:26:23 main:581] : INFO : Epoch 33 | loss: 0.05593 | val_loss: 0.0559294 | Time: 3024.22 ms [2020-11-26 15:26:26 main:581] : INFO : Epoch 34 | loss: 0.0558106 | val_loss: 0.0559124 | Time: 3258.52 ms [2020-11-26 15:26:29 main:581] : INFO : Epoch 35 | loss: 0.0558462 | val_loss: 0.0561445 | Time: 3300.63 ms [2020-11-26 15:26:32 main:581] : INFO : Epoch 36 | loss: 0.0560887 | val_loss: 0.0562196 | Time: 3086.09 ms [2020-11-26 15:26:36 main:581] : INFO : Epoch 37 | loss: 0.056487 | val_loss: 0.0568261 | Time: 3054.92 ms [2020-11-26 15:26:39 main:581] : INFO : Epoch 38 | loss: 0.0567508 | val_loss: 0.0568292 | Time: 3104.9 ms [2020-11-26 15:26:42 main:581] : INFO : Epoch 39 | loss: 0.0565862 | val_loss: 0.0566159 | Time: 3199.04 ms [2020-11-26 15:26:45 main:581] : INFO : Epoch 40 | loss: 0.0567388 | val_loss: 0.0571289 | Time: 3053.75 ms [2020-11-26 15:26:48 main:581] : INFO : Epoch 41 | loss: 0.0570118 | val_loss: 0.0566536 | Time: 3091.09 ms [2020-11-26 15:26:51 main:581] : INFO : Epoch 42 | loss: 0.056546 | val_loss: 0.0567012 | Time: 3045.39 ms [2020-11-26 15:26:54 main:581] : INFO : Epoch 43 | loss: 0.0566425 | val_loss: 0.0566961 | Time: 3074.63 ms [2020-11-26 15:26:57 main:581] : INFO : Epoch 44 | loss: 0.0566967 | val_loss: 0.0566426 | Time: 3016.71 ms [2020-11-26 15:27:00 main:581] : INFO : Epoch 45 | loss: 0.0566906 | val_loss: 0.0567537 | Time: 3149.01 ms [2020-11-26 15:27:03 main:581] : INFO : Epoch 46 | loss: 0.0567552 | val_loss: 0.0567115 | Time: 3128.44 ms [2020-11-26 15:27:07 main:581] : INFO : Epoch 47 | loss: 0.0566985 | val_loss: 0.0566222 | Time: 3243.07 ms [2020-11-26 15:27:10 main:581] : INFO : Epoch 48 | loss: 0.0566203 | val_loss: 0.0565685 | Time: 3052.71 ms [2020-11-26 15:27:13 main:581] : INFO : Epoch 49 | loss: 0.0565514 | val_loss: 0.0565125 | Time: 3132.09 ms [2020-11-26 15:27:16 main:581] : INFO : Epoch 50 | loss: 0.0564633 | val_loss: 0.0563244 | Time: 3089.19 ms [2020-11-26 15:27:19 main:581] : INFO : Epoch 51 | loss: 0.0563034 | val_loss: 0.0562186 | Time: 3172 ms [2020-11-26 15:27:22 main:581] : INFO : Epoch 52 | loss: 0.0561214 | val_loss: 0.0561463 | Time: 3097.84 ms [2020-11-26 15:27:25 main:581] : INFO : Epoch 53 | loss: 0.0560464 | val_loss: 0.056101 | Time: 3073.49 ms [2020-11-26 15:27:28 main:581] : INFO : Epoch 54 | loss: 0.0559503 | val_loss: 0.0559987 | Time: 3075.72 ms [2020-11-26 15:27:31 main:581] : INFO : Epoch 55 | loss: 0.0559559 | val_loss: 0.0560308 | Time: 3038.42 ms [2020-11-26 15:27:34 main:581] : INFO : Epoch 56 | loss: 0.0558944 | val_loss: 0.0559059 | Time: 3149.01 ms [2020-11-26 15:27:37 main:581] : INFO : Epoch 57 | loss: 0.0557548 | val_loss: 0.0557414 | Time: 2976.94 ms [2020-11-26 15:27:41 main:581] : INFO : Epoch 58 | loss: 0.0555866 | val_loss: 0.0555427 | Time: 3025.31 ms [2020-11-26 15:27:44 main:581] : INFO : Epoch 59 | loss: 0.0553934 | val_loss: 0.0554015 | Time: 3111.88 ms [2020-11-26 15:27:47 main:581] : INFO : Epoch 60 | loss: 0.0552861 | val_loss: 0.0552357 | Time: 3125.58 ms [2020-11-26 15:27:50 main:581] : INFO : Epoch 61 | loss: 0.0552138 | val_loss: 0.0553419 | Time: 3073.14 ms [2020-11-26 15:27:53 main:581] : INFO : Epoch 62 | loss: 0.0552672 | val_loss: 0.0553032 | Time: 3099.76 ms [2020-11-26 15:27:56 main:581] : INFO : Epoch 63 | loss: 0.0550594 | val_loss: 0.0554821 | Time: 3002.73 ms [2020-11-26 15:27:59 main:581] : INFO : Epoch 64 | loss: 0.0555868 | val_loss: 0.0556639 | Time: 3013.05 ms [2020-11-26 15:28:02 main:581] : INFO : Epoch 65 | loss: 0.055519 | val_loss: 0.0555698 | Time: 3102.72 ms [2020-11-26 15:28:05 main:581] : INFO : Epoch 66 | loss: 0.0553579 | val_loss: 0.0553687 | Time: 3170.41 ms [2020-11-26 15:28:08 main:581] : INFO : Epoch 67 | loss: 0.0551683 | val_loss: 0.0552218 | Time: 3192.2 ms [2020-11-26 15:28:11 main:581] : INFO : Epoch 68 | loss: 0.05506 | val_loss: 0.0552558 | Time: 3035.68 ms [2020-11-26 15:28:14 main:581] : INFO : Epoch 69 | loss: 0.055096 | val_loss: 0.0552271 | Time: 3043.71 ms [2020-11-26 15:28:18 main:581] : INFO : Epoch 70 | loss: 0.055007 | val_loss: 0.0549704 | Time: 3031.21 ms [2020-11-26 15:28:21 main:581] : INFO : Epoch 71 | loss: 0.0549281 | val_loss: 0.055221 | Time: 3019.53 ms [2020-11-26 15:28:24 main:581] : INFO : Epoch 72 | loss: 0.0550098 | val_loss: 0.0551166 | Time: 3070.5 ms [2020-11-26 15:28:27 main:581] : INFO : Epoch 73 | loss: 0.0549045 | val_loss: 0.0551482 | Time: 3002.9 ms [2020-11-26 15:28:30 main:581] : INFO : Epoch 74 | loss: 0.0549117 | val_loss: 0.0549772 | Time: 3014.91 ms [2020-11-26 15:28:33 main:581] : INFO : Epoch 75 | loss: 0.0547652 | val_loss: 0.054957 | Time: 3017.56 ms [2020-11-26 15:28:36 main:581] : INFO : Epoch 76 | loss: 0.0546952 | val_loss: 0.054738 | Time: 3019.42 ms [2020-11-26 15:28:39 main:581] : INFO : Epoch 77 | loss: 0.0545274 | val_loss: 0.0545534 | Time: 2983.14 ms [2020-11-26 15:28:42 main:581] : INFO : Epoch 78 | loss: 0.0545087 | val_loss: 0.0545793 | Time: 3043.23 ms [2020-11-26 15:28:45 main:581] : INFO : Epoch 79 | loss: 0.0544105 | val_loss: 0.0544174 | Time: 3037 ms [2020-11-26 15:28:48 main:581] : INFO : Epoch 80 | loss: 0.0542893 | val_loss: 0.0542935 | Time: 3232.14 ms [2020-11-26 15:28:51 main:581] : INFO : Epoch 81 | loss: 0.0545095 | val_loss: 0.0547542 | Time: 3167.15 ms [2020-11-26 15:28:54 main:581] : INFO : Epoch 82 | loss: 0.0549241 | val_loss: 0.0551665 | Time: 3045.18 ms [2020-11-26 15:28:57 main:581] : INFO : Epoch 83 | loss: 0.0550271 | val_loss: 0.0551141 | Time: 3114.06 ms [2020-11-26 15:29:00 main:581] : INFO : Epoch 84 | loss: 0.0549359 | val_loss: 0.0550065 | Time: 3100.38 ms [2020-11-26 15:29:03 main:581] : INFO : Epoch 85 | loss: 0.0551235 | val_loss: 0.0552421 | Time: 3094.24 ms [2020-11-26 15:29:06 main:581] : INFO : Epoch 86 | loss: 0.0550659 | val_loss: 0.0551027 | Time: 3011.06 ms [2020-11-26 15:29:10 main:581] : INFO : Epoch 87 | loss: 0.0549966 | val_loss: 0.0551075 | Time: 3069.91 ms [2020-11-26 15:29:13 main:581] : INFO : Epoch 88 | loss: 0.0550879 | val_loss: 0.0554427 | Time: 3074.63 ms [2020-11-26 15:29:16 main:581] : INFO : Epoch 89 | loss: 0.0555821 | val_loss: 0.0556641 | Time: 3129.73 ms [2020-11-26 15:29:19 main:581] : INFO : Epoch 90 | loss: 0.055629 | val_loss: 0.0557753 | Time: 3023.32 ms [2020-11-26 15:29:22 main:581] : INFO : Epoch 91 | loss: 0.0556141 | val_loss: 0.0559839 | Time: 3062.22 ms [2020-11-26 15:29:25 main:581] : INFO : Epoch 92 | loss: 0.0561093 | val_loss: 0.056752 | Time: 2983.37 ms [2020-11-26 15:29:28 main:581] : INFO : Epoch 93 | loss: 0.0566655 | val_loss: 0.0567828 | Time: 3115.3 ms [2020-11-26 15:29:31 main:581] : INFO : Epoch 94 | loss: 0.0566351 | val_loss: 0.0567288 | Time: 2972.06 ms [2020-11-26 15:29:34 main:581] : INFO : Epoch 95 | loss: 0.056614 | val_loss: 0.05673 | Time: 3152.71 ms [2020-11-26 15:29:37 main:581] : INFO : Epoch 96 | loss: 0.0565771 | val_loss: 0.0566585 | Time: 3039.74 ms [2020-11-26 15:29:40 main:581] : INFO : Epoch 97 | loss: 0.0564934 | val_loss: 0.0565824 | Time: 3064.79 ms [2020-11-26 15:29:43 main:581] : INFO : Epoch 98 | loss: 0.056433 | val_loss: 0.0566293 | Time: 3185.88 ms [2020-11-26 15:29:47 main:581] : INFO : Epoch 99 | loss: 0.0566703 | val_loss: 0.0568776 | Time: 3191.59 ms [2020-11-26 15:29:50 main:581] : INFO : Epoch 100 | loss: 0.0567337 | val_loss: 0.0568603 | Time: 3074.26 ms [2020-11-26 15:29:53 main:581] : INFO : Epoch 101 | loss: 0.0565343 | val_loss: 0.0566 | Time: 3011.75 ms [2020-11-26 15:29:56 main:581] : INFO : Epoch 102 | loss: 0.056398 | val_loss: 0.0564443 | Time: 3186.36 ms [2020-11-26 15:29:59 main:581] : INFO : Epoch 103 | loss: 0.0563018 | val_loss: 0.0563831 | Time: 2998.96 ms [2020-11-26 15:30:02 main:581] : INFO : Epoch 104 | loss: 0.0562237 | val_loss: 0.0564298 | Time: 3037.43 ms [2020-11-26 15:30:05 main:581] : INFO : Epoch 105 | loss: 0.0563931 | val_loss: 0.0565377 | Time: 3042.36 ms [2020-11-26 15:30:08 main:581] : INFO : Epoch 106 | loss: 0.0563672 | val_loss: 0.056473 | Time: 3086.27 ms [2020-11-26 15:30:11 main:581] : INFO : Epoch 107 | loss: 0.0562863 | val_loss: 0.0564441 | Time: 3104.71 ms [2020-11-26 15:30:14 main:581] : INFO : Epoch 108 | loss: 0.0563028 | val_loss: 0.0570738 | Time: 3031.11 ms [2020-11-26 15:30:17 main:581] : INFO : Epoch 109 | loss: 0.0569369 | val_loss: 0.0570905 | Time: 3028.3 ms [2020-11-26 15:30:20 main:581] : INFO : Epoch 110 | loss: 0.0569513 | val_loss: 0.0570947 | Time: 3087.96 ms [2020-11-26 15:30:23 main:581] : INFO : Epoch 111 | loss: 0.056972 | val_loss: 0.0571756 | Time: 3037.32 ms [2020-11-26 15:30:26 main:581] : INFO : Epoch 112 | loss: 0.0569547 | val_loss: 0.0571404 | Time: 3109.28 ms [2020-11-26 15:30:29 main:581] : INFO : Epoch 113 | loss: 0.0569988 | val_loss: 0.0571912 | Time: 3067.57 ms [2020-11-26 15:30:33 main:581] : INFO : Epoch 114 | loss: 0.0570592 | val_loss: 0.0572636 | Time: 3120.87 ms [2020-11-26 15:30:36 main:581] : INFO : Epoch 115 | loss: 0.057051 | val_loss: 0.0571675 | Time: 3148.63 ms [2020-11-26 15:30:39 main:581] : INFO : Epoch 116 | loss: 0.0569929 | val_loss: 0.0572939 | Time: 2997.07 ms [2020-11-26 15:30:42 main:581] : INFO : Epoch 117 | loss: 0.057271 | val_loss: 0.0573654 | Time: 3057.3 ms [2020-11-26 15:30:45 main:581] : INFO : Epoch 118 | loss: 0.0572731 | val_loss: 0.0573673 | Time: 3117.95 ms [2020-11-26 15:30:48 main:581] : INFO : Epoch 119 | loss: 0.0573155 | val_loss: 0.0574396 | Time: 3155.07 ms [2020-11-26 15:30:51 main:581] : INFO : Epoch 120 | loss: 0.0573464 | val_loss: 0.0573907 | Time: 3011.78 ms [2020-11-26 15:30:54 main:581] : INFO : Epoch 121 | loss: 0.0573489 | val_loss: 0.0575976 | Time: 3065.43 ms [2020-11-26 15:30:57 main:581] : INFO : Epoch 122 | loss: 0.0575061 | val_loss: 0.0575732 | Time: 3165.68 ms [2020-11-26 15:31:00 main:581] : INFO : Epoch 123 | loss: 0.0575037 | val_loss: 0.0577844 | Time: 3194.31 ms [2020-11-26 15:31:04 main:581] : INFO : Epoch 124 | loss: 0.0576846 | val_loss: 0.0578049 | Time: 3042.02 ms [2020-11-26 15:31:07 main:581] : INFO : Epoch 125 | loss: 0.0577197 | val_loss: 0.057869 | Time: 3251.85 ms [2020-11-26 15:31:10 main:581] : INFO : Epoch 126 | loss: 0.0577501 | val_loss: 0.0578298 | Time: 3051.96 ms [2020-11-26 15:31:13 main:581] : INFO : Epoch 127 | loss: 0.0577453 | val_loss: 0.0578461 | Time: 3080.09 ms [2020-11-26 15:31:16 main:581] : INFO : Epoch 128 | loss: 0.0577553 | val_loss: 0.0577919 | Time: 3008.7 ms [2020-11-26 15:31:19 main:581] : INFO : Epoch 129 | loss: 0.0579656 | val_loss: 0.0584631 | Time: 3025.8 ms [2020-11-26 15:31:22 main:581] : INFO : Epoch 130 | loss: 0.0583437 | val_loss: 0.0584427 | Time: 3060.23 ms [2020-11-26 15:31:25 main:581] : INFO : Epoch 131 | loss: 0.0583255 | val_loss: 0.0584301 | Time: 3017.63 ms [2020-11-26 15:31:28 main:581] : INFO : Epoch 132 | loss: 0.0583165 | val_loss: 0.0584336 | Time: 2996.11 ms [2020-11-26 15:31:31 main:581] : INFO : Epoch 133 | loss: 0.0583172 | val_loss: 0.058415 | Time: 3130.24 ms [2020-11-26 15:31:34 main:581] : INFO : Epoch 134 | loss: 0.058307 | val_loss: 0.0584205 | Time: 3002.49 ms [2020-11-26 15:31:37 main:581] : INFO : Epoch 135 | loss: 0.0582971 | val_loss: 0.0583904 | Time: 3069.56 ms [2020-11-26 15:31:40 main:581] : INFO : Epoch 136 | loss: 0.0582641 | val_loss: 0.0583944 | Time: 3058.93 ms [2020-11-26 15:31:43 main:581] : INFO : Epoch 137 | loss: 0.0582704 | val_loss: 0.0584014 | Time: 3168.65 ms [2020-11-26 15:31:46 main:581] : INFO : Epoch 138 | loss: 0.0582754 | val_loss: 0.0584028 | Time: 3019.05 ms [2020-11-26 15:31:50 main:581] : INFO : Epoch 139 | loss: 0.0582591 | val_loss: 0.0584252 | Time: 3074.77 ms [2020-11-26 15:31:53 main:581] : INFO : Epoch 140 | loss: 0.058307 | val_loss: 0.0584462 | Time: 3072.13 ms [2020-11-26 15:31:56 main:581] : INFO : Epoch 141 | loss: 0.0583271 | val_loss: 0.0584443 | Time: 3074.93 ms [2020-11-26 15:31:59 main:581] : INFO : Epoch 142 | loss: 0.0583133 | val_loss: 0.0585028 | Time: 3101.88 ms [2020-11-26 15:32:02 main:581] : INFO : Epoch 143 | loss: 0.0583711 | val_loss: 0.0584849 | Time: 3147.03 ms [2020-11-26 15:32:05 main:581] : INFO : Epoch 144 | loss: 0.0583462 | val_loss: 0.0584886 | Time: 3030.93 ms [2020-11-26 15:32:08 main:581] : INFO : Epoch 145 | loss: 0.0583386 | val_loss: 0.0584786 | Time: 3128.76 ms [2020-11-26 15:32:11 main:581] : INFO : Epoch 146 | loss: 0.0583331 | val_loss: 0.0584609 | Time: 3230.81 ms [2020-11-26 15:32:15 main:581] : INFO : Epoch 147 | loss: 0.0583382 | val_loss: 0.0584486 | Time: 3188.95 ms [2020-11-26 15:32:18 main:581] : INFO : Epoch 148 | loss: 0.0583234 | val_loss: 0.058419 | Time: 3330.02 ms [2020-11-26 15:32:21 main:581] : INFO : Epoch 149 | loss: 0.058306 | val_loss: 0.0584011 | Time: 3045.48 ms [2020-11-26 15:32:24 main:581] : INFO : Epoch 150 | loss: 0.0582953 | val_loss: 0.0583979 | Time: 3057.26 ms [2020-11-26 15:32:27 main:581] : INFO : Epoch 151 | loss: 0.0582916 | val_loss: 0.0584021 | Time: 3117.36 ms [2020-11-26 15:32:30 main:581] : INFO : Epoch 152 | loss: 0.0583033 | val_loss: 0.058408 | Time: 3084.02 ms [2020-11-26 15:32:33 main:581] : INFO : Epoch 153 | loss: 0.0583672 | val_loss: 0.0585079 | Time: 3058.65 ms [2020-11-26 15:32:36 main:581] : INFO : Epoch 154 | loss: 0.0583897 | val_loss: 0.0585116 | Time: 3014.38 ms [2020-11-26 15:32:39 main:581] : INFO : Epoch 155 | loss: 0.0584113 | val_loss: 0.0585448 | Time: 3216.18 ms [2020-11-26 15:32:43 main:581] : INFO : Epoch 156 | loss: 0.0584599 | val_loss: 0.0585778 | Time: 3140.06 ms [2020-11-26 15:32:46 main:581] : INFO : Epoch 157 | loss: 0.0584666 | val_loss: 0.0586008 | Time: 3130.14 ms [2020-11-26 15:32:49 main:581] : INFO : Epoch 158 | loss: 0.0584834 | val_loss: 0.0585745 | Time: 3091.52 ms [2020-11-26 15:32:52 main:581] : INFO : Epoch 159 | loss: 0.0584904 | val_loss: 0.0585932 | Time: 3154.85 ms [2020-11-26 15:32:55 main:581] : INFO : Epoch 160 | loss: 0.0584667 | val_loss: 0.0586256 | Time: 3131.83 ms [2020-11-26 15:32:58 main:581] : INFO : Epoch 161 | loss: 0.0584515 | val_loss: 0.0585421 | Time: 3013.07 ms [2020-11-26 15:33:01 main:581] : INFO : Epoch 162 | loss: 0.0583681 | val_loss: 0.0584482 | Time: 3168.5 ms [2020-11-26 15:33:04 main:581] : INFO : Epoch 163 | loss: 0.0583052 | val_loss: 0.0584202 | Time: 3112.08 ms [2020-11-26 15:33:08 main:581] : INFO : Epoch 164 | loss: 0.0582875 | val_loss: 0.0584139 | Time: 3118.68 ms [2020-11-26 15:33:11 main:581] : INFO : Epoch 165 | loss: 0.0582739 | val_loss: 0.0584019 | Time: 3000.64 ms [2020-11-26 15:33:14 main:581] : INFO : Epoch 166 | loss: 0.0582812 | val_loss: 0.0584032 | Time: 3062.54 ms [2020-11-26 15:33:17 main:581] : INFO : Epoch 167 | loss: 0.0582246 | val_loss: 0.0583655 | Time: 3059.24 ms [2020-11-26 15:33:20 main:581] : INFO : Epoch 168 | loss: 0.0582783 | val_loss: 0.0583886 | Time: 3020.48 ms [2020-11-26 15:33:23 main:581] : INFO : Epoch 169 | loss: 0.058274 | val_loss: 0.0583734 | Time: 3060.5 ms [2020-11-26 15:33:26 main:581] : INFO : Epoch 170 | loss: 0.0582734 | val_loss: 0.0584016 | Time: 2986.42 ms [2020-11-26 15:33:29 main:581] : INFO : Epoch 171 | loss: 0.0582341 | val_loss: 0.0583785 | Time: 3142 ms [2020-11-26 15:33:32 main:581] : INFO : Epoch 172 | loss: 0.0581258 | val_loss: 0.0582385 | Time: 3092.99 ms [2020-11-26 15:33:35 main:581] : INFO : Epoch 173 | loss: 0.0580657 | val_loss: 0.0582109 | Time: 3254.77 ms [2020-11-26 15:33:38 main:581] : INFO : Epoch 174 | loss: 0.0580376 | val_loss: 0.0581851 | Time: 3008.06 ms [2020-11-26 15:33:41 main:581] : INFO : Epoch 175 | loss: 0.0581038 | val_loss: 0.0583043 | Time: 3192.38 ms [2020-11-26 15:33:44 main:581] : INFO : Epoch 176 | loss: 0.0581767 | val_loss: 0.0582798 | Time: 3086.26 ms [2020-11-26 15:33:48 main:581] : INFO : Epoch 177 | loss: 0.0581473 | val_loss: 0.058222 | Time: 3011.66 ms [2020-11-26 15:33:51 main:581] : INFO : Epoch 178 | loss: 0.0580676 | val_loss: 0.0581763 | Time: 3006.33 ms [2020-11-26 15:33:54 main:581] : INFO : Epoch 179 | loss: 0.0580291 | val_loss: 0.0581154 | Time: 3081.51 ms [2020-11-26 15:33:57 main:581] : INFO : Epoch 180 | loss: 0.0579851 | val_loss: 0.0580702 | Time: 3029.27 ms [2020-11-26 15:34:00 main:581] : INFO : Epoch 181 | loss: 0.0579447 | val_loss: 0.0580734 | Time: 2997.85 ms [2020-11-26 15:34:03 main:581] : INFO : Epoch 182 | loss: 0.0579132 | val_loss: 0.0580057 | Time: 3016.29 ms [2020-11-26 15:34:06 main:581] : INFO : Epoch 183 | loss: 0.0578357 | val_loss: 0.0579651 | Time: 3078.08 ms [2020-11-26 15:34:09 main:581] : INFO : Epoch 184 | loss: 0.057898 | val_loss: 0.0579825 | Time: 3085.1 ms [2020-11-26 15:34:12 main:581] : INFO : Epoch 185 | loss: 0.0578608 | val_loss: 0.0578813 | Time: 3004.84 ms [2020-11-26 15:34:15 main:581] : INFO : Epoch 186 | loss: 0.0577877 | val_loss: 0.0577946 | Time: 3089.5 ms [2020-11-26 15:34:18 main:581] : INFO : Epoch 187 | loss: 0.0577469 | val_loss: 0.057793 | Time: 3185.82 ms [2020-11-26 15:34:21 main:581] : INFO : Epoch 188 | loss: 0.0577556 | val_loss: 0.0578102 | Time: 3089.29 ms [2020-11-26 15:34:24 main:581] : INFO : Epoch 189 | loss: 0.0577281 | val_loss: 0.0577775 | Time: 3067.35 ms [2020-11-26 15:34:28 main:581] : INFO : Epoch 190 | loss: 0.0576998 | val_loss: 0.057907 | Time: 3298.1 ms [2020-11-26 15:34:31 main:581] : INFO : Epoch 191 | loss: 0.0578301 | val_loss: 0.058019 | Time: 3151.07 ms [2020-11-26 15:34:34 main:581] : INFO : Epoch 192 | loss: 0.0578237 | val_loss: 0.0579322 | Time: 3105.99 ms [2020-11-26 15:34:34 main:604] : INFO : Saving trained model to model-final.pt, val_loss 0.0579322 [2020-11-26 15:34:34 main:610] : INFO : Saving end state to config to file [2020-11-26 15:34:34 main:615] : INFO : Success, exiting.. 15:34:34 (15221): 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)