Task 3074545
| Name | rand_automata_0082-1606118020-23562-87_0 |
| Workunit | 1402892 |
| Created | 26 Nov 2020, 20:04:56 UTC |
| Sent | 26 Nov 2020, 20:13:59 UTC |
| Report deadline | 3 Dec 2020, 20:13:59 UTC |
| Received | 26 Nov 2020, 20:24:20 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 4754 |
| Run time | 9 min 54 sec |
| CPU time | 9 min 51 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 | 2.18 GB |
| Peak swap size | 9.98 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 15:14:16 main:442] : INFO : Set logging level to 1 [2020-11-26 15:14:16 main:448] : INFO : Running in BOINC Client mode [2020-11-26 15:14:16 main:451] : INFO : Resolving all filenames [2020-11-26 15:14:16 main:459] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-train-val-dataset.hdf5 (exists = 1) [2020-11-26 15:14:16 main:459] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-1606118020-23562-87_0_r702883926_1 (exists = 0) [2020-11-26 15:14:16 main:459] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-1606118020-23562-87_0_r702883926_0 (exists = 0) [2020-11-26 15:14:16 main:459] : INFO : Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-1606118020-23562-87 (exists = 1) [2020-11-26 15:14:16 main:459] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-26 15:14:16 main:479] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-train-val-dataset.hdf5 [2020-11-26 15:14:16 main:481] : INFO : Configuration: [2020-11-26 15:14:16 main:482] : INFO : Model type: LSTM [2020-11-26 15:14:16 main:483] : INFO : Validation Loss Threshold: 0.0001 [2020-11-26 15:14:16 main:484] : INFO : Max Epochs: 192 [2020-11-26 15:14:16 main:485] : INFO : Batch Size: 32 [2020-11-26 15:14:16 main:486] : INFO : Learning Rate: 0.001 [2020-11-26 15:14:16 main:487] : INFO : Patience: 10 [2020-11-26 15:14:16 main:488] : INFO : Hidden Width: 64 [2020-11-26 15:14:16 main:489] : INFO : # Recurrent Layers: 4 [2020-11-26 15:14:16 main:490] : INFO : # Backend Layers: 2 [2020-11-26 15:14:16 main:491] : INFO : # Threads: 1 [2020-11-26 15:14:16 main:493] : INFO : Preparing Dataset [2020-11-26 15:14:16 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 [2020-11-26 15:14:16 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 [2020-11-26 15:14:18 load:106] : INFO : Successfully loaded dataset of 4096 examples into memory. [2020-11-26 15:14:18 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 [2020-11-26 15:14:18 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 [2020-11-26 15:14:18 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-26 15:14:18 main:501] : INFO : Creating Model [2020-11-26 15:14:18 main:514] : INFO : Preparing config file [2020-11-26 15:14:18 main:526] : INFO : Creating new config file [2020-11-26 15:14:18 main:545] : INFO : This is a continuation WU, loading previous network [2020-11-26 15:14:18 main:566] : INFO : Loading DataLoader into Memory [2020-11-26 15:14:18 main:569] : INFO : Starting Training [2020-11-26 15:14:23 main:581] : INFO : Epoch 1 | loss: 0.0509762 | val_loss: 0.0505383 | Time: 4407.33 ms [2020-11-26 15:14:26 main:581] : INFO : Epoch 2 | loss: 0.0501116 | val_loss: 0.0497993 | Time: 3032.96 ms [2020-11-26 15:14:29 main:581] : INFO : Epoch 3 | loss: 0.0493628 | val_loss: 0.0494876 | Time: 2993.45 ms [2020-11-26 15:14:32 main:581] : INFO : Epoch 4 | loss: 0.0486955 | val_loss: 0.048563 | Time: 3092.33 ms [2020-11-26 15:14:35 main:581] : INFO : Epoch 5 | loss: 0.0484044 | val_loss: 0.0486886 | Time: 3224.19 ms [2020-11-26 15:14:38 main:581] : INFO : Epoch 6 | loss: 0.0486194 | val_loss: 0.0489692 | Time: 3171.06 ms [2020-11-26 15:14:41 main:581] : INFO : Epoch 7 | loss: 0.0486315 | val_loss: 0.0487785 | Time: 3047.36 ms [2020-11-26 15:14:45 main:581] : INFO : Epoch 8 | loss: 0.0484253 | val_loss: 0.0486378 | Time: 3177.47 ms [2020-11-26 15:14:48 main:581] : INFO : Epoch 9 | loss: 0.0480878 | val_loss: 0.048469 | Time: 3134.42 ms [2020-11-26 15:14:52 main:581] : INFO : Epoch 10 | loss: 0.0479359 | val_loss: 0.047956 | Time: 3968.53 ms [2020-11-26 15:14:55 main:581] : INFO : Epoch 11 | loss: 0.048331 | val_loss: 0.0487843 | Time: 3109.65 ms [2020-11-26 15:14:58 main:581] : INFO : Epoch 12 | loss: 0.0485021 | val_loss: 0.0486958 | Time: 3109.18 ms [2020-11-26 15:15:01 main:581] : INFO : Epoch 13 | loss: 0.0483356 | val_loss: 0.048779 | Time: 2991.89 ms [2020-11-26 15:15:04 main:581] : INFO : Epoch 14 | loss: 0.0487655 | val_loss: 0.0488947 | Time: 3287.05 ms [2020-11-26 15:15:07 main:581] : INFO : Epoch 15 | loss: 0.04863 | val_loss: 0.0487772 | Time: 3033 ms [2020-11-26 15:15:10 main:581] : INFO : Epoch 16 | loss: 0.0485519 | val_loss: 0.0493772 | Time: 3123.07 ms [2020-11-26 15:15:13 main:581] : INFO : Epoch 17 | loss: 0.0494293 | val_loss: 0.0494078 | Time: 3054.61 ms [2020-11-26 15:15:17 main:581] : INFO : Epoch 18 | loss: 0.0492785 | val_loss: 0.0492782 | Time: 3112.49 ms [2020-11-26 15:15:20 main:581] : INFO : Epoch 19 | loss: 0.0491127 | val_loss: 0.0490967 | Time: 3013.56 ms [2020-11-26 15:15:23 main:581] : INFO : Epoch 20 | loss: 0.048753 | val_loss: 0.0488374 | Time: 3137.49 ms [2020-11-26 15:15:26 main:581] : INFO : Epoch 21 | loss: 0.0489266 | val_loss: 0.0491002 | Time: 3238.32 ms [2020-11-26 15:15:29 main:581] : INFO : Epoch 22 | loss: 0.0489124 | val_loss: 0.0488454 | Time: 3086.56 ms [2020-11-26 15:15:32 main:581] : INFO : Epoch 23 | loss: 0.0487824 | val_loss: 0.0488359 | Time: 2987.24 ms [2020-11-26 15:15:35 main:581] : INFO : Epoch 24 | loss: 0.0486862 | val_loss: 0.0485585 | Time: 2989.57 ms [2020-11-26 15:15:38 main:581] : INFO : Epoch 25 | loss: 0.0484584 | val_loss: 0.0486912 | Time: 3162.52 ms [2020-11-26 15:15:41 main:581] : INFO : Epoch 26 | loss: 0.0487853 | val_loss: 0.0490897 | Time: 3034.33 ms [2020-11-26 15:15:44 main:581] : INFO : Epoch 27 | loss: 0.0488195 | val_loss: 0.0488172 | Time: 3090.98 ms [2020-11-26 15:15:47 main:581] : INFO : Epoch 28 | loss: 0.0485504 | val_loss: 0.0484564 | Time: 3023.45 ms [2020-11-26 15:15:50 main:581] : INFO : Epoch 29 | loss: 0.0482491 | val_loss: 0.0483548 | Time: 3074.95 ms [2020-11-26 15:15:53 main:581] : INFO : Epoch 30 | loss: 0.0480508 | val_loss: 0.0481001 | Time: 3022.36 ms [2020-11-26 15:15:56 main:581] : INFO : Epoch 31 | loss: 0.0479164 | val_loss: 0.0481285 | Time: 3026.29 ms [2020-11-26 15:15:59 main:581] : INFO : Epoch 32 | loss: 0.0479341 | val_loss: 0.0478044 | Time: 3036.9 ms [2020-11-26 15:16:02 main:581] : INFO : Epoch 33 | loss: 0.0478618 | val_loss: 0.0483185 | Time: 2999.81 ms [2020-11-26 15:16:06 main:581] : INFO : Epoch 34 | loss: 0.0482286 | val_loss: 0.048239 | Time: 3074.65 ms [2020-11-26 15:16:09 main:581] : INFO : Epoch 35 | loss: 0.0479963 | val_loss: 0.0482043 | Time: 3072.69 ms [2020-11-26 15:16:12 main:581] : INFO : Epoch 36 | loss: 0.0487205 | val_loss: 0.0491455 | Time: 3081.03 ms [2020-11-26 15:16:15 main:581] : INFO : Epoch 37 | loss: 0.0490563 | val_loss: 0.0491904 | Time: 3074.79 ms [2020-11-26 15:16:18 main:581] : INFO : Epoch 38 | loss: 0.0491819 | val_loss: 0.0492087 | Time: 3081.57 ms [2020-11-26 15:16:21 main:581] : INFO : Epoch 39 | loss: 0.0504046 | val_loss: 0.0509614 | Time: 3073.83 ms [2020-11-26 15:16:24 main:581] : INFO : Epoch 40 | loss: 0.0508292 | val_loss: 0.0508904 | Time: 3023.57 ms [2020-11-26 15:16:27 main:581] : INFO : Epoch 41 | loss: 0.0506951 | val_loss: 0.0505927 | Time: 2967.13 ms [2020-11-26 15:16:30 main:581] : INFO : Epoch 42 | loss: 0.0505982 | val_loss: 0.0506414 | Time: 3053.61 ms [2020-11-26 15:16:33 main:581] : INFO : Epoch 43 | loss: 0.0505931 | val_loss: 0.0506662 | Time: 3111.68 ms [2020-11-26 15:16:36 main:581] : INFO : Epoch 44 | loss: 0.0505791 | val_loss: 0.0507468 | Time: 3049.8 ms [2020-11-26 15:16:39 main:581] : INFO : Epoch 45 | loss: 0.0505848 | val_loss: 0.0509179 | Time: 3174.44 ms [2020-11-26 15:16:42 main:581] : INFO : Epoch 46 | loss: 0.0508 | val_loss: 0.051435 | Time: 3114.28 ms [2020-11-26 15:16:46 main:581] : INFO : Epoch 47 | loss: 0.0514703 | val_loss: 0.0517149 | Time: 3151.75 ms [2020-11-26 15:16:49 main:581] : INFO : Epoch 48 | loss: 0.0514182 | val_loss: 0.0516271 | Time: 2979.06 ms [2020-11-26 15:16:52 main:581] : INFO : Epoch 49 | loss: 0.0515523 | val_loss: 0.051731 | Time: 3009 ms [2020-11-26 15:16:55 main:581] : INFO : Epoch 50 | loss: 0.0514857 | val_loss: 0.0516724 | Time: 3067.13 ms [2020-11-26 15:16:58 main:581] : INFO : Epoch 51 | loss: 0.051426 | val_loss: 0.0517186 | Time: 2978.18 ms [2020-11-26 15:17:01 main:581] : INFO : Epoch 52 | loss: 0.0514954 | val_loss: 0.0516112 | Time: 2974.93 ms [2020-11-26 15:17:04 main:581] : INFO : Epoch 53 | loss: 0.0514448 | val_loss: 0.051676 | Time: 3055.02 ms [2020-11-26 15:17:07 main:581] : INFO : Epoch 54 | loss: 0.0515286 | val_loss: 0.0517083 | Time: 3010.87 ms [2020-11-26 15:17:10 main:581] : INFO : Epoch 55 | loss: 0.0514617 | val_loss: 0.0515873 | Time: 3133.42 ms [2020-11-26 15:17:13 main:581] : INFO : Epoch 56 | loss: 0.0516237 | val_loss: 0.05195 | Time: 3015.53 ms [2020-11-26 15:17:16 main:581] : INFO : Epoch 57 | loss: 0.0517983 | val_loss: 0.0518257 | Time: 3175.79 ms [2020-11-26 15:17:19 main:581] : INFO : Epoch 58 | loss: 0.051847 | val_loss: 0.0522486 | Time: 3018.8 ms [2020-11-26 15:17:22 main:581] : INFO : Epoch 59 | loss: 0.0521252 | val_loss: 0.0522398 | Time: 2974.79 ms [2020-11-26 15:17:25 main:581] : INFO : Epoch 60 | loss: 0.052061 | val_loss: 0.0521358 | Time: 2953.96 ms [2020-11-26 15:17:28 main:581] : INFO : Epoch 61 | loss: 0.0521075 | val_loss: 0.052229 | Time: 2990.54 ms [2020-11-26 15:17:31 main:581] : INFO : Epoch 62 | loss: 0.0520896 | val_loss: 0.0521345 | Time: 3014.18 ms [2020-11-26 15:17:34 main:581] : INFO : Epoch 63 | loss: 0.0520405 | val_loss: 0.0521797 | Time: 2991.82 ms [2020-11-26 15:17:37 main:581] : INFO : Epoch 64 | loss: 0.0519961 | val_loss: 0.05198 | Time: 3029.4 ms [2020-11-26 15:17:40 main:581] : INFO : Epoch 65 | loss: 0.0518554 | val_loss: 0.0520468 | Time: 3075.65 ms [2020-11-26 15:17:43 main:581] : INFO : Epoch 66 | loss: 0.0518214 | val_loss: 0.0519945 | Time: 2949.1 ms [2020-11-26 15:17:46 main:581] : INFO : Epoch 67 | loss: 0.0518507 | val_loss: 0.0518856 | Time: 3074.53 ms [2020-11-26 15:17:49 main:581] : INFO : Epoch 68 | loss: 0.0518106 | val_loss: 0.0520297 | Time: 3083.06 ms [2020-11-26 15:17:52 main:581] : INFO : Epoch 69 | loss: 0.0516695 | val_loss: 0.0516824 | Time: 2968.94 ms [2020-11-26 15:17:55 main:581] : INFO : Epoch 70 | loss: 0.0520486 | val_loss: 0.0522135 | Time: 3198.27 ms [2020-11-26 15:17:58 main:581] : INFO : Epoch 71 | loss: 0.0520468 | val_loss: 0.0521707 | Time: 3039.73 ms [2020-11-26 15:18:01 main:581] : INFO : Epoch 72 | loss: 0.0520894 | val_loss: 0.0521707 | Time: 3022.88 ms [2020-11-26 15:18:04 main:581] : INFO : Epoch 73 | loss: 0.0518855 | val_loss: 0.0520285 | Time: 3032.47 ms [2020-11-26 15:18:07 main:581] : INFO : Epoch 74 | loss: 0.0515407 | val_loss: 0.051536 | Time: 2977.83 ms [2020-11-26 15:18:10 main:581] : INFO : Epoch 75 | loss: 0.0512851 | val_loss: 0.0514311 | Time: 3083.83 ms [2020-11-26 15:18:14 main:581] : INFO : Epoch 76 | loss: 0.0511701 | val_loss: 0.051363 | Time: 3152.58 ms [2020-11-26 15:18:17 main:581] : INFO : Epoch 77 | loss: 0.0509141 | val_loss: 0.0511305 | Time: 3035.23 ms [2020-11-26 15:18:20 main:581] : INFO : Epoch 78 | loss: 0.0517559 | val_loss: 0.0526364 | Time: 2997.07 ms [2020-11-26 15:18:23 main:581] : INFO : Epoch 79 | loss: 0.0524758 | val_loss: 0.0527145 | Time: 3010.59 ms [2020-11-26 15:18:26 main:581] : INFO : Epoch 80 | loss: 0.0523066 | val_loss: 0.0524044 | Time: 3103.43 ms [2020-11-26 15:18:29 main:581] : INFO : Epoch 81 | loss: 0.0520849 | val_loss: 0.0521353 | Time: 3013.85 ms [2020-11-26 15:18:32 main:581] : INFO : Epoch 82 | loss: 0.051945 | val_loss: 0.0520208 | Time: 3123.28 ms [2020-11-26 15:18:35 main:581] : INFO : Epoch 83 | loss: 0.0517423 | val_loss: 0.0519843 | Time: 3061.92 ms [2020-11-26 15:18:38 main:581] : INFO : Epoch 84 | loss: 0.0519021 | val_loss: 0.0520325 | Time: 3266.33 ms [2020-11-26 15:18:41 main:581] : INFO : Epoch 85 | loss: 0.0518894 | val_loss: 0.051981 | Time: 3070.69 ms [2020-11-26 15:18:44 main:581] : INFO : Epoch 86 | loss: 0.0518781 | val_loss: 0.0520836 | Time: 3049.08 ms [2020-11-26 15:18:47 main:581] : INFO : Epoch 87 | loss: 0.0519067 | val_loss: 0.0520538 | Time: 3032.98 ms [2020-11-26 15:18:50 main:581] : INFO : Epoch 88 | loss: 0.0518583 | val_loss: 0.0517662 | Time: 3081.64 ms [2020-11-26 15:18:53 main:581] : INFO : Epoch 89 | loss: 0.0514978 | val_loss: 0.051668 | Time: 3000.18 ms [2020-11-26 15:18:57 main:581] : INFO : Epoch 90 | loss: 0.0516191 | val_loss: 0.0519301 | Time: 3242.4 ms [2020-11-26 15:19:00 main:581] : INFO : Epoch 91 | loss: 0.0517045 | val_loss: 0.0519987 | Time: 3040.94 ms [2020-11-26 15:19:03 main:581] : INFO : Epoch 92 | loss: 0.0517733 | val_loss: 0.0520575 | Time: 2944.93 ms [2020-11-26 15:19:06 main:581] : INFO : Epoch 93 | loss: 0.051734 | val_loss: 0.0522229 | Time: 2968.39 ms [2020-11-26 15:19:09 main:581] : INFO : Epoch 94 | loss: 0.0519725 | val_loss: 0.0523606 | Time: 3067.78 ms [2020-11-26 15:19:12 main:581] : INFO : Epoch 95 | loss: 0.0526278 | val_loss: 0.0528151 | Time: 3021.73 ms [2020-11-26 15:19:15 main:581] : INFO : Epoch 96 | loss: 0.0526063 | val_loss: 0.0526941 | Time: 3035.69 ms [2020-11-26 15:19:18 main:581] : INFO : Epoch 97 | loss: 0.0524882 | val_loss: 0.0526455 | Time: 3059.53 ms [2020-11-26 15:19:21 main:581] : INFO : Epoch 98 | loss: 0.0524148 | val_loss: 0.0526304 | Time: 3021.06 ms [2020-11-26 15:19:24 main:581] : INFO : Epoch 99 | loss: 0.0523206 | val_loss: 0.0525641 | Time: 3048.68 ms [2020-11-26 15:19:27 main:581] : INFO : Epoch 100 | loss: 0.0526321 | val_loss: 0.0532646 | Time: 3042.83 ms [2020-11-26 15:19:30 main:581] : INFO : Epoch 101 | loss: 0.0531141 | val_loss: 0.0532274 | Time: 3041.52 ms [2020-11-26 15:19:33 main:581] : INFO : Epoch 102 | loss: 0.0531603 | val_loss: 0.0533261 | Time: 3024.3 ms [2020-11-26 15:19:36 main:581] : INFO : Epoch 103 | loss: 0.0531156 | val_loss: 0.0532352 | Time: 3137.86 ms [2020-11-26 15:19:39 main:581] : INFO : Epoch 104 | loss: 0.053068 | val_loss: 0.0532253 | Time: 3062.32 ms [2020-11-26 15:19:42 main:581] : INFO : Epoch 105 | loss: 0.0529969 | val_loss: 0.0529989 | Time: 3023.29 ms [2020-11-26 15:19:45 main:581] : INFO : Epoch 106 | loss: 0.0528002 | val_loss: 0.0530292 | Time: 3007.08 ms [2020-11-26 15:19:48 main:581] : INFO : Epoch 107 | loss: 0.0527696 | val_loss: 0.053026 | Time: 3032.51 ms [2020-11-26 15:19:51 main:581] : INFO : Epoch 108 | loss: 0.0527603 | val_loss: 0.0529727 | Time: 3032.99 ms [2020-11-26 15:19:55 main:581] : INFO : Epoch 109 | loss: 0.0527309 | val_loss: 0.0530451 | Time: 3209.19 ms [2020-11-26 15:19:58 main:581] : INFO : Epoch 110 | loss: 0.0527381 | val_loss: 0.0529372 | Time: 3014.78 ms [2020-11-26 15:20:01 main:581] : INFO : Epoch 111 | loss: 0.0526671 | val_loss: 0.0528362 | Time: 3222.87 ms [2020-11-26 15:20:04 main:581] : INFO : Epoch 112 | loss: 0.0525241 | val_loss: 0.0526485 | Time: 3035.51 ms [2020-11-26 15:20:07 main:581] : INFO : Epoch 113 | loss: 0.0524512 | val_loss: 0.0526421 | Time: 3203.63 ms [2020-11-26 15:20:10 main:581] : INFO : Epoch 114 | loss: 0.0524915 | val_loss: 0.0526775 | Time: 2981.92 ms [2020-11-26 15:20:13 main:581] : INFO : Epoch 115 | loss: 0.0524351 | val_loss: 0.0525683 | Time: 2957.04 ms [2020-11-26 15:20:16 main:581] : INFO : Epoch 116 | loss: 0.0524391 | val_loss: 0.0526397 | Time: 2985.74 ms [2020-11-26 15:20:19 main:581] : INFO : Epoch 117 | loss: 0.0527058 | val_loss: 0.0530032 | Time: 2988.85 ms [2020-11-26 15:20:22 main:581] : INFO : Epoch 118 | loss: 0.0527371 | val_loss: 0.0529928 | Time: 3004.82 ms [2020-11-26 15:20:25 main:581] : INFO : Epoch 119 | loss: 0.0526455 | val_loss: 0.0529419 | Time: 3008.17 ms [2020-11-26 15:20:28 main:581] : INFO : Epoch 120 | loss: 0.0525552 | val_loss: 0.0528424 | Time: 2986.75 ms [2020-11-26 15:20:31 main:581] : INFO : Epoch 121 | loss: 0.0525235 | val_loss: 0.0528411 | Time: 3055.19 ms [2020-11-26 15:20:34 main:581] : INFO : Epoch 122 | loss: 0.0525114 | val_loss: 0.0527659 | Time: 3101.64 ms [2020-11-26 15:20:37 main:581] : INFO : Epoch 123 | loss: 0.052436 | val_loss: 0.0526687 | Time: 3024.37 ms [2020-11-26 15:20:40 main:581] : INFO : Epoch 124 | loss: 0.0523481 | val_loss: 0.0524749 | Time: 3124.38 ms [2020-11-26 15:20:43 main:581] : INFO : Epoch 125 | loss: 0.0522663 | val_loss: 0.0524098 | Time: 3058.39 ms [2020-11-26 15:20:46 main:581] : INFO : Epoch 126 | loss: 0.052218 | val_loss: 0.0525478 | Time: 3015.72 ms [2020-11-26 15:20:49 main:581] : INFO : Epoch 127 | loss: 0.0524454 | val_loss: 0.052778 | Time: 2992.91 ms [2020-11-26 15:20:52 main:581] : INFO : Epoch 128 | loss: 0.0524529 | val_loss: 0.0525668 | Time: 3042.73 ms [2020-11-26 15:20:55 main:581] : INFO : Epoch 129 | loss: 0.0522997 | val_loss: 0.0524989 | Time: 3094.32 ms [2020-11-26 15:20:58 main:581] : INFO : Epoch 130 | loss: 0.0521763 | val_loss: 0.0524205 | Time: 3028.33 ms [2020-11-26 15:21:01 main:581] : INFO : Epoch 131 | loss: 0.0520652 | val_loss: 0.052295 | Time: 3003.52 ms [2020-11-26 15:21:05 main:581] : INFO : Epoch 132 | loss: 0.0520633 | val_loss: 0.0522521 | Time: 3094.44 ms [2020-11-26 15:21:08 main:581] : INFO : Epoch 133 | loss: 0.0519566 | val_loss: 0.0522463 | Time: 3029.79 ms [2020-11-26 15:21:11 main:581] : INFO : Epoch 134 | loss: 0.0520159 | val_loss: 0.0522904 | Time: 3052.92 ms [2020-11-26 15:21:14 main:581] : INFO : Epoch 135 | loss: 0.0520437 | val_loss: 0.052371 | Time: 3092.35 ms [2020-11-26 15:21:17 main:581] : INFO : Epoch 136 | loss: 0.0522323 | val_loss: 0.0524715 | Time: 3198.14 ms [2020-11-26 15:21:20 main:581] : INFO : Epoch 137 | loss: 0.0525007 | val_loss: 0.0528022 | Time: 3157.09 ms [2020-11-26 15:21:23 main:581] : INFO : Epoch 138 | loss: 0.0525034 | val_loss: 0.0526683 | Time: 2983.48 ms [2020-11-26 15:21:26 main:581] : INFO : Epoch 139 | loss: 0.0523378 | val_loss: 0.0524785 | Time: 3003.45 ms [2020-11-26 15:21:29 main:581] : INFO : Epoch 140 | loss: 0.0525775 | val_loss: 0.0530801 | Time: 3091.05 ms [2020-11-26 15:21:32 main:581] : INFO : Epoch 141 | loss: 0.0527218 | val_loss: 0.0529375 | Time: 3055.88 ms [2020-11-26 15:21:35 main:581] : INFO : Epoch 142 | loss: 0.0525885 | val_loss: 0.0528352 | Time: 3006.71 ms [2020-11-26 15:21:38 main:581] : INFO : Epoch 143 | loss: 0.0525544 | val_loss: 0.0528022 | Time: 3080.83 ms [2020-11-26 15:21:41 main:581] : INFO : Epoch 144 | loss: 0.0523945 | val_loss: 0.0525418 | Time: 3099.6 ms [2020-11-26 15:21:44 main:581] : INFO : Epoch 145 | loss: 0.0522458 | val_loss: 0.0523316 | Time: 3037.45 ms [2020-11-26 15:21:48 main:581] : INFO : Epoch 146 | loss: 0.052198 | val_loss: 0.0523939 | Time: 3079.85 ms [2020-11-26 15:21:51 main:581] : INFO : Epoch 147 | loss: 0.0520196 | val_loss: 0.0522992 | Time: 3020.3 ms [2020-11-26 15:21:54 main:581] : INFO : Epoch 148 | loss: 0.0521096 | val_loss: 0.0523564 | Time: 3060.26 ms [2020-11-26 15:21:57 main:581] : INFO : Epoch 149 | loss: 0.0521101 | val_loss: 0.0522559 | Time: 3074.31 ms [2020-11-26 15:22:00 main:581] : INFO : Epoch 150 | loss: 0.0520216 | val_loss: 0.0521483 | Time: 3007.88 ms [2020-11-26 15:22:03 main:581] : INFO : Epoch 151 | loss: 0.0520419 | val_loss: 0.0522455 | Time: 2996.86 ms [2020-11-26 15:22:06 main:581] : INFO : Epoch 152 | loss: 0.051962 | val_loss: 0.0520459 | Time: 3050.3 ms [2020-11-26 15:22:09 main:581] : INFO : Epoch 153 | loss: 0.0518128 | val_loss: 0.0519136 | Time: 3007.93 ms [2020-11-26 15:22:12 main:581] : INFO : Epoch 154 | loss: 0.0517053 | val_loss: 0.0518585 | Time: 3038.53 ms [2020-11-26 15:22:15 main:581] : INFO : Epoch 155 | loss: 0.0516918 | val_loss: 0.0517621 | Time: 2986.41 ms [2020-11-26 15:22:18 main:581] : INFO : Epoch 156 | loss: 0.0517117 | val_loss: 0.0526607 | Time: 3036.48 ms [2020-11-26 15:22:21 main:581] : INFO : Epoch 157 | loss: 0.0524809 | val_loss: 0.0525977 | Time: 3009.98 ms [2020-11-26 15:22:24 main:581] : INFO : Epoch 158 | loss: 0.0524098 | val_loss: 0.0525449 | Time: 3103.55 ms [2020-11-26 15:22:27 main:581] : INFO : Epoch 159 | loss: 0.0523864 | val_loss: 0.0525405 | Time: 3012.96 ms [2020-11-26 15:22:30 main:581] : INFO : Epoch 160 | loss: 0.0523881 | val_loss: 0.052476 | Time: 3052.56 ms [2020-11-26 15:22:33 main:581] : INFO : Epoch 161 | loss: 0.0523363 | val_loss: 0.0524548 | Time: 3085.57 ms [2020-11-26 15:22:36 main:581] : INFO : Epoch 162 | loss: 0.0522154 | val_loss: 0.0522692 | Time: 3139.88 ms [2020-11-26 15:22:39 main:581] : INFO : Epoch 163 | loss: 0.0520679 | val_loss: 0.0522606 | Time: 3102.61 ms [2020-11-26 15:22:42 main:581] : INFO : Epoch 164 | loss: 0.0520694 | val_loss: 0.0523128 | Time: 3058.64 ms [2020-11-26 15:22:46 main:581] : INFO : Epoch 165 | loss: 0.0523207 | val_loss: 0.0524014 | Time: 3149.84 ms [2020-11-26 15:22:49 main:581] : INFO : Epoch 166 | loss: 0.0523582 | val_loss: 0.0523705 | Time: 3139.58 ms [2020-11-26 15:22:52 main:581] : INFO : Epoch 167 | loss: 0.0523142 | val_loss: 0.0523196 | Time: 3060.76 ms [2020-11-26 15:22:55 main:581] : INFO : Epoch 168 | loss: 0.052108 | val_loss: 0.0521032 | Time: 2992.77 ms [2020-11-26 15:22:58 main:581] : INFO : Epoch 169 | loss: 0.0519906 | val_loss: 0.0521134 | Time: 3076.22 ms [2020-11-26 15:23:01 main:581] : INFO : Epoch 170 | loss: 0.0519991 | val_loss: 0.0519091 | Time: 3181.9 ms [2020-11-26 15:23:04 main:581] : INFO : Epoch 171 | loss: 0.0518092 | val_loss: 0.0517647 | Time: 3234.28 ms [2020-11-26 15:23:07 main:581] : INFO : Epoch 172 | loss: 0.0516414 | val_loss: 0.0516689 | Time: 3037.16 ms [2020-11-26 15:23:10 main:581] : INFO : Epoch 173 | loss: 0.0514822 | val_loss: 0.051469 | Time: 2996.75 ms [2020-11-26 15:23:13 main:581] : INFO : Epoch 174 | loss: 0.0512855 | val_loss: 0.0513941 | Time: 3028.8 ms [2020-11-26 15:23:16 main:581] : INFO : Epoch 175 | loss: 0.0511596 | val_loss: 0.051195 | Time: 3014.49 ms [2020-11-26 15:23:19 main:581] : INFO : Epoch 176 | loss: 0.0510752 | val_loss: 0.0511961 | Time: 3036.38 ms [2020-11-26 15:23:22 main:581] : INFO : Epoch 177 | loss: 0.0510106 | val_loss: 0.0510443 | Time: 3057.78 ms [2020-11-26 15:23:25 main:581] : INFO : Epoch 178 | loss: 0.0509181 | val_loss: 0.0510008 | Time: 3013.01 ms [2020-11-26 15:23:28 main:581] : INFO : Epoch 179 | loss: 0.0509635 | val_loss: 0.0516271 | Time: 3049.55 ms [2020-11-26 15:23:31 main:581] : INFO : Epoch 180 | loss: 0.0515838 | val_loss: 0.0515457 | Time: 3012.38 ms [2020-11-26 15:23:34 main:581] : INFO : Epoch 181 | loss: 0.0517126 | val_loss: 0.0518284 | Time: 3045.7 ms [2020-11-26 15:23:38 main:581] : INFO : Epoch 182 | loss: 0.0516698 | val_loss: 0.051746 | Time: 3024.24 ms [2020-11-26 15:23:41 main:581] : INFO : Epoch 183 | loss: 0.0516855 | val_loss: 0.0516928 | Time: 3015.53 ms [2020-11-26 15:23:44 main:581] : INFO : Epoch 184 | loss: 0.0515727 | val_loss: 0.051667 | Time: 3048.84 ms [2020-11-26 15:23:47 main:581] : INFO : Epoch 185 | loss: 0.0515594 | val_loss: 0.0515717 | Time: 3032.23 ms [2020-11-26 15:23:50 main:581] : INFO : Epoch 186 | loss: 0.0515026 | val_loss: 0.0515285 | Time: 2971.82 ms [2020-11-26 15:23:53 main:581] : INFO : Epoch 187 | loss: 0.0515756 | val_loss: 0.0517454 | Time: 2990.66 ms [2020-11-26 15:23:56 main:581] : INFO : Epoch 188 | loss: 0.0515607 | val_loss: 0.0519621 | Time: 3011.11 ms [2020-11-26 15:23:59 main:581] : INFO : Epoch 189 | loss: 0.051934 | val_loss: 0.0520621 | Time: 3037.16 ms [2020-11-26 15:24:02 main:581] : INFO : Epoch 190 | loss: 0.0522678 | val_loss: 0.052667 | Time: 3007.07 ms [2020-11-26 15:24:05 main:581] : INFO : Epoch 191 | loss: 0.0526522 | val_loss: 0.0526683 | Time: 3062.59 ms [2020-11-26 15:24:08 main:581] : INFO : Epoch 192 | loss: 0.0524707 | val_loss: 0.052423 | Time: 3388.34 ms [2020-11-26 15:24:08 main:604] : INFO : Saving trained model to model-final.pt, val_loss 0.052423 [2020-11-26 15:24:08 main:610] : INFO : Saving end state to config to file [2020-11-26 15:24:08 main:615] : INFO : Success, exiting.. 15:24:08 (15191): 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)