Task 3074052
| Name | rand_automata_0025-1606117988-22454-86_0 |
| Workunit | 1402452 |
| Created | 26 Nov 2020, 18:49:49 UTC |
| Sent | 26 Nov 2020, 18:59:50 UTC |
| Report deadline | 3 Dec 2020, 18:59:50 UTC |
| Received | 26 Nov 2020, 19:12:31 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 4754 |
| Run time | 11 min 41 sec |
| CPU time | 11 min 38 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 | 9.98 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 14:00:13 main:442] : INFO : Set logging level to 1 [2020-11-26 14:00:13 main:448] : INFO : Running in BOINC Client mode [2020-11-26 14:00:13 main:451] : INFO : Resolving all filenames [2020-11-26 14:00:13 main:459] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-train-val-dataset.hdf5 (exists = 1) [2020-11-26 14:00:13 main:459] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-1606117988-22454-86_0_r1921892581_1 (exists = 0) [2020-11-26 14:00:13 main:459] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-1606117988-22454-86_0_r1921892581_0 (exists = 0) [2020-11-26 14:00:13 main:459] : INFO : Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-1606117988-22454-86 (exists = 1) [2020-11-26 14:00:13 main:459] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-26 14:00:13 main:479] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-train-val-dataset.hdf5 [2020-11-26 14:00:13 main:481] : INFO : Configuration: [2020-11-26 14:00:13 main:482] : INFO : Model type: LSTM [2020-11-26 14:00:13 main:483] : INFO : Validation Loss Threshold: 0.0001 [2020-11-26 14:00:13 main:484] : INFO : Max Epochs: 192 [2020-11-26 14:00:13 main:485] : INFO : Batch Size: 32 [2020-11-26 14:00:13 main:486] : INFO : Learning Rate: 0.001 [2020-11-26 14:00:13 main:487] : INFO : Patience: 10 [2020-11-26 14:00:13 main:488] : INFO : Hidden Width: 64 [2020-11-26 14:00:13 main:489] : INFO : # Recurrent Layers: 4 [2020-11-26 14:00:13 main:490] : INFO : # Backend Layers: 2 [2020-11-26 14:00:13 main:491] : INFO : # Threads: 1 [2020-11-26 14:00:13 main:493] : INFO : Preparing Dataset [2020-11-26 14:00:13 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 14:00:13 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 14:00:15 load:106] : INFO : Successfully loaded dataset of 4096 examples into memory. [2020-11-26 14:00:15 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 14:00:15 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 14:00:15 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-26 14:00:15 main:501] : INFO : Creating Model [2020-11-26 14:00:15 main:514] : INFO : Preparing config file [2020-11-26 14:00:15 main:526] : INFO : Creating new config file [2020-11-26 14:00:15 main:545] : INFO : This is a continuation WU, loading previous network [2020-11-26 14:00:15 main:566] : INFO : Loading DataLoader into Memory [2020-11-26 14:00:15 main:569] : INFO : Starting Training [2020-11-26 14:00:19 main:581] : INFO : Epoch 1 | loss: 0.0428334 | val_loss: 0.041159 | Time: 4010.22 ms [2020-11-26 14:00:24 main:581] : INFO : Epoch 2 | loss: 0.0402888 | val_loss: 0.040771 | Time: 4290.73 ms [2020-11-26 14:00:28 main:581] : INFO : Epoch 3 | loss: 0.0399563 | val_loss: 0.0391428 | Time: 4542.03 ms [2020-11-26 14:00:31 main:581] : INFO : Epoch 4 | loss: 0.0387138 | val_loss: 0.0389023 | Time: 2994.13 ms [2020-11-26 14:00:35 main:581] : INFO : Epoch 5 | loss: 0.0379995 | val_loss: 0.0386271 | Time: 3356.81 ms [2020-11-26 14:00:38 main:581] : INFO : Epoch 6 | loss: 0.0387123 | val_loss: 0.0388963 | Time: 2976.96 ms [2020-11-26 14:00:41 main:581] : INFO : Epoch 7 | loss: 0.04072 | val_loss: 0.0443167 | Time: 3456.12 ms [2020-11-26 14:00:44 main:581] : INFO : Epoch 8 | loss: 0.0440013 | val_loss: 0.043808 | Time: 3115.9 ms [2020-11-26 14:00:47 main:581] : INFO : Epoch 9 | loss: 0.0432327 | val_loss: 0.0427533 | Time: 2973.46 ms [2020-11-26 14:00:50 main:581] : INFO : Epoch 10 | loss: 0.0420173 | val_loss: 0.042174 | Time: 3033.62 ms [2020-11-26 14:00:54 main:581] : INFO : Epoch 11 | loss: 0.041062 | val_loss: 0.0414183 | Time: 3966.07 ms [2020-11-26 14:00:58 main:581] : INFO : Epoch 12 | loss: 0.0413187 | val_loss: 0.0421867 | Time: 3521.67 ms [2020-11-26 14:01:01 main:581] : INFO : Epoch 13 | loss: 0.0413114 | val_loss: 0.0414252 | Time: 3808.69 ms [2020-11-26 14:01:05 main:581] : INFO : Epoch 14 | loss: 0.0404719 | val_loss: 0.0406894 | Time: 3189.46 ms [2020-11-26 14:01:09 main:581] : INFO : Epoch 15 | loss: 0.0399065 | val_loss: 0.0401498 | Time: 4365.24 ms [2020-11-26 14:01:13 main:581] : INFO : Epoch 16 | loss: 0.0393189 | val_loss: 0.0395264 | Time: 3652.52 ms [2020-11-26 14:01:16 main:581] : INFO : Epoch 17 | loss: 0.0412774 | val_loss: 0.0417171 | Time: 2994.39 ms [2020-11-26 14:01:20 main:581] : INFO : Epoch 18 | loss: 0.0431915 | val_loss: 0.0433124 | Time: 4296.77 ms [2020-11-26 14:01:24 main:581] : INFO : Epoch 19 | loss: 0.041956 | val_loss: 0.0417879 | Time: 3692.21 ms [2020-11-26 14:01:27 main:581] : INFO : Epoch 20 | loss: 0.0408201 | val_loss: 0.0409655 | Time: 2977.44 ms [2020-11-26 14:01:32 main:581] : INFO : Epoch 21 | loss: 0.0407073 | val_loss: 0.043279 | Time: 5172.64 ms [2020-11-26 14:01:36 main:581] : INFO : Epoch 22 | loss: 0.0441858 | val_loss: 0.0446558 | Time: 4007.48 ms [2020-11-26 14:01:39 main:581] : INFO : Epoch 23 | loss: 0.0442182 | val_loss: 0.0442978 | Time: 2987.97 ms [2020-11-26 14:01:43 main:581] : INFO : Epoch 24 | loss: 0.0439341 | val_loss: 0.0446581 | Time: 3751.22 ms [2020-11-26 14:01:46 main:581] : INFO : Epoch 25 | loss: 0.0437774 | val_loss: 0.0437096 | Time: 3301.07 ms [2020-11-26 14:01:50 main:581] : INFO : Epoch 26 | loss: 0.0437828 | val_loss: 0.0447028 | Time: 4267.38 ms [2020-11-26 14:01:53 main:581] : INFO : Epoch 27 | loss: 0.0429892 | val_loss: 0.0430213 | Time: 3172.46 ms [2020-11-26 14:01:58 main:581] : INFO : Epoch 28 | loss: 0.0415668 | val_loss: 0.0415129 | Time: 4516.53 ms [2020-11-26 14:02:02 main:581] : INFO : Epoch 29 | loss: 0.0421264 | val_loss: 0.0430119 | Time: 3690.72 ms [2020-11-26 14:02:05 main:581] : INFO : Epoch 30 | loss: 0.0436835 | val_loss: 0.0441529 | Time: 3685.03 ms [2020-11-26 14:02:10 main:581] : INFO : Epoch 31 | loss: 0.0444771 | val_loss: 0.0449665 | Time: 4654.04 ms [2020-11-26 14:02:14 main:581] : INFO : Epoch 32 | loss: 0.0467771 | val_loss: 0.0475373 | Time: 4437.68 ms [2020-11-26 14:02:17 main:581] : INFO : Epoch 33 | loss: 0.0478008 | val_loss: 0.0495816 | Time: 3109.5 ms [2020-11-26 14:02:21 main:581] : INFO : Epoch 34 | loss: 0.0494489 | val_loss: 0.0495765 | Time: 3154.58 ms [2020-11-26 14:02:25 main:581] : INFO : Epoch 35 | loss: 0.049925 | val_loss: 0.0501999 | Time: 4483.72 ms [2020-11-26 14:02:30 main:581] : INFO : Epoch 36 | loss: 0.0503802 | val_loss: 0.0513803 | Time: 4516.97 ms [2020-11-26 14:02:33 main:581] : INFO : Epoch 37 | loss: 0.0508238 | val_loss: 0.0510629 | Time: 3136.54 ms [2020-11-26 14:02:38 main:581] : INFO : Epoch 38 | loss: 0.050502 | val_loss: 0.0503954 | Time: 5585.12 ms [2020-11-26 14:02:42 main:581] : INFO : Epoch 39 | loss: 0.0497835 | val_loss: 0.0498525 | Time: 3308.75 ms [2020-11-26 14:02:45 main:581] : INFO : Epoch 40 | loss: 0.0490108 | val_loss: 0.0490544 | Time: 3300.45 ms [2020-11-26 14:02:50 main:581] : INFO : Epoch 41 | loss: 0.0485371 | val_loss: 0.0486456 | Time: 5546.97 ms [2020-11-26 14:02:55 main:581] : INFO : Epoch 42 | loss: 0.0478908 | val_loss: 0.0481869 | Time: 4833.32 ms [2020-11-26 14:02:59 main:581] : INFO : Epoch 43 | loss: 0.0477043 | val_loss: 0.0476623 | Time: 4044.06 ms [2020-11-26 14:03:03 main:581] : INFO : Epoch 44 | loss: 0.0474474 | val_loss: 0.0484234 | Time: 3419.57 ms [2020-11-26 14:03:07 main:581] : INFO : Epoch 45 | loss: 0.0484098 | val_loss: 0.0491831 | Time: 4299.8 ms [2020-11-26 14:03:12 main:581] : INFO : Epoch 46 | loss: 0.0484944 | val_loss: 0.048721 | Time: 5113.67 ms [2020-11-26 14:03:17 main:581] : INFO : Epoch 47 | loss: 0.0486917 | val_loss: 0.0494154 | Time: 4478.72 ms [2020-11-26 14:03:20 main:581] : INFO : Epoch 48 | loss: 0.0492114 | val_loss: 0.0495269 | Time: 3679.77 ms [2020-11-26 14:03:23 main:581] : INFO : Epoch 49 | loss: 0.0489681 | val_loss: 0.0491031 | Time: 3083.3 ms [2020-11-26 14:03:27 main:581] : INFO : Epoch 50 | loss: 0.0486096 | val_loss: 0.0485544 | Time: 3457.5 ms [2020-11-26 14:03:30 main:581] : INFO : Epoch 51 | loss: 0.0479132 | val_loss: 0.0480785 | Time: 3079.56 ms [2020-11-26 14:03:33 main:581] : INFO : Epoch 52 | loss: 0.0473656 | val_loss: 0.0475706 | Time: 3256.73 ms [2020-11-26 14:03:38 main:581] : INFO : Epoch 53 | loss: 0.0468207 | val_loss: 0.0473419 | Time: 4321.54 ms [2020-11-26 14:03:41 main:581] : INFO : Epoch 54 | loss: 0.0469521 | val_loss: 0.0480407 | Time: 3569.64 ms [2020-11-26 14:03:44 main:581] : INFO : Epoch 55 | loss: 0.0477683 | val_loss: 0.048143 | Time: 3350.08 ms [2020-11-26 14:03:48 main:581] : INFO : Epoch 56 | loss: 0.048407 | val_loss: 0.0496734 | Time: 3881.39 ms [2020-11-26 14:03:53 main:581] : INFO : Epoch 57 | loss: 0.0492415 | val_loss: 0.0494042 | Time: 4956.73 ms [2020-11-26 14:03:57 main:581] : INFO : Epoch 58 | loss: 0.0488788 | val_loss: 0.0490642 | Time: 3277.8 ms [2020-11-26 14:04:00 main:581] : INFO : Epoch 59 | loss: 0.0490573 | val_loss: 0.0492783 | Time: 3357.09 ms [2020-11-26 14:04:03 main:581] : INFO : Epoch 60 | loss: 0.0487984 | val_loss: 0.0490222 | Time: 3526.32 ms [2020-11-26 14:04:07 main:581] : INFO : Epoch 61 | loss: 0.0487792 | val_loss: 0.0488388 | Time: 3302.51 ms [2020-11-26 14:04:11 main:581] : INFO : Epoch 62 | loss: 0.0484368 | val_loss: 0.0482982 | Time: 4664.21 ms [2020-11-26 14:04:15 main:581] : INFO : Epoch 63 | loss: 0.047822 | val_loss: 0.0477077 | Time: 3785.16 ms [2020-11-26 14:04:18 main:581] : INFO : Epoch 64 | loss: 0.0474571 | val_loss: 0.0475705 | Time: 3249.64 ms [2020-11-26 14:04:23 main:581] : INFO : Epoch 65 | loss: 0.0474819 | val_loss: 0.0476617 | Time: 4168.56 ms [2020-11-26 14:04:26 main:581] : INFO : Epoch 66 | loss: 0.046925 | val_loss: 0.0472555 | Time: 3407.65 ms [2020-11-26 14:04:30 main:581] : INFO : Epoch 67 | loss: 0.0482581 | val_loss: 0.048795 | Time: 3636.54 ms [2020-11-26 14:04:34 main:581] : INFO : Epoch 68 | loss: 0.0494561 | val_loss: 0.0508432 | Time: 4690.7 ms [2020-11-26 14:04:39 main:581] : INFO : Epoch 69 | loss: 0.0505166 | val_loss: 0.0509059 | Time: 4798.74 ms [2020-11-26 14:04:42 main:581] : INFO : Epoch 70 | loss: 0.0506381 | val_loss: 0.0506979 | Time: 2955.32 ms [2020-11-26 14:04:45 main:581] : INFO : Epoch 71 | loss: 0.0516797 | val_loss: 0.052616 | Time: 3287.92 ms [2020-11-26 14:04:48 main:581] : INFO : Epoch 72 | loss: 0.0522535 | val_loss: 0.052459 | Time: 3095.4 ms [2020-11-26 14:04:52 main:581] : INFO : Epoch 73 | loss: 0.0523048 | val_loss: 0.0523776 | Time: 3477.9 ms [2020-11-26 14:04:57 main:581] : INFO : Epoch 74 | loss: 0.0521882 | val_loss: 0.0522707 | Time: 4723.14 ms [2020-11-26 14:05:00 main:581] : INFO : Epoch 75 | loss: 0.0520815 | val_loss: 0.0521124 | Time: 3508.95 ms [2020-11-26 14:05:04 main:581] : INFO : Epoch 76 | loss: 0.0518281 | val_loss: 0.051904 | Time: 3683.25 ms [2020-11-26 14:05:07 main:581] : INFO : Epoch 77 | loss: 0.0515067 | val_loss: 0.0514748 | Time: 3192.17 ms [2020-11-26 14:05:11 main:581] : INFO : Epoch 78 | loss: 0.051251 | val_loss: 0.0512734 | Time: 3602.23 ms [2020-11-26 14:05:15 main:581] : INFO : Epoch 79 | loss: 0.0512396 | val_loss: 0.0513032 | Time: 4126.66 ms [2020-11-26 14:05:18 main:581] : INFO : Epoch 80 | loss: 0.0511736 | val_loss: 0.0513039 | Time: 3508.02 ms [2020-11-26 14:05:23 main:581] : INFO : Epoch 81 | loss: 0.0511925 | val_loss: 0.0513325 | Time: 4290.86 ms [2020-11-26 14:05:28 main:581] : INFO : Epoch 82 | loss: 0.0511286 | val_loss: 0.0511089 | Time: 5035.39 ms [2020-11-26 14:05:31 main:581] : INFO : Epoch 83 | loss: 0.0508737 | val_loss: 0.0508479 | Time: 3643.64 ms [2020-11-26 14:05:36 main:581] : INFO : Epoch 84 | loss: 0.0505837 | val_loss: 0.0507686 | Time: 4496.01 ms [2020-11-26 14:05:39 main:581] : INFO : Epoch 85 | loss: 0.0504286 | val_loss: 0.0504397 | Time: 3084.63 ms [2020-11-26 14:05:42 main:581] : INFO : Epoch 86 | loss: 0.0506063 | val_loss: 0.0522762 | Time: 3532.95 ms [2020-11-26 14:05:46 main:581] : INFO : Epoch 87 | loss: 0.0523336 | val_loss: 0.0522468 | Time: 4056.64 ms [2020-11-26 14:05:49 main:581] : INFO : Epoch 88 | loss: 0.0523341 | val_loss: 0.0523116 | Time: 2952.6 ms [2020-11-26 14:05:52 main:581] : INFO : Epoch 89 | loss: 0.0523658 | val_loss: 0.0522695 | Time: 3013.1 ms [2020-11-26 14:05:56 main:581] : INFO : Epoch 90 | loss: 0.0523263 | val_loss: 0.0522671 | Time: 3583.31 ms [2020-11-26 14:05:59 main:581] : INFO : Epoch 91 | loss: 0.052501 | val_loss: 0.0525946 | Time: 2933.71 ms [2020-11-26 14:06:02 main:581] : INFO : Epoch 92 | loss: 0.0525907 | val_loss: 0.0527779 | Time: 2990.65 ms [2020-11-26 14:06:05 main:581] : INFO : Epoch 93 | loss: 0.0526241 | val_loss: 0.0528325 | Time: 3108.64 ms [2020-11-26 14:06:08 main:581] : INFO : Epoch 94 | loss: 0.0526634 | val_loss: 0.0526512 | Time: 2971.92 ms [2020-11-26 14:06:11 main:581] : INFO : Epoch 95 | loss: 0.0527159 | val_loss: 0.0531768 | Time: 3101.28 ms [2020-11-26 14:06:15 main:581] : INFO : Epoch 96 | loss: 0.0529708 | val_loss: 0.0531673 | Time: 4088.87 ms [2020-11-26 14:06:18 main:581] : INFO : Epoch 97 | loss: 0.0529523 | val_loss: 0.0530626 | Time: 3022.36 ms [2020-11-26 14:06:22 main:581] : INFO : Epoch 98 | loss: 0.0528667 | val_loss: 0.0529505 | Time: 3826.04 ms [2020-11-26 14:06:26 main:581] : INFO : Epoch 99 | loss: 0.0527817 | val_loss: 0.052654 | Time: 3822.85 ms [2020-11-26 14:06:29 main:581] : INFO : Epoch 100 | loss: 0.0527011 | val_loss: 0.0527086 | Time: 3063.07 ms [2020-11-26 14:06:33 main:581] : INFO : Epoch 101 | loss: 0.0527336 | val_loss: 0.0526979 | Time: 4364.38 ms [2020-11-26 14:06:37 main:581] : INFO : Epoch 102 | loss: 0.0528346 | val_loss: 0.0529657 | Time: 3206.66 ms [2020-11-26 14:06:41 main:581] : INFO : Epoch 103 | loss: 0.053028 | val_loss: 0.0530955 | Time: 4428.3 ms [2020-11-26 14:06:44 main:581] : INFO : Epoch 104 | loss: 0.0529724 | val_loss: 0.0530226 | Time: 3176.26 ms [2020-11-26 14:06:48 main:581] : INFO : Epoch 105 | loss: 0.0529014 | val_loss: 0.0529729 | Time: 4022.56 ms [2020-11-26 14:06:52 main:581] : INFO : Epoch 106 | loss: 0.052786 | val_loss: 0.0528951 | Time: 4253.03 ms [2020-11-26 14:06:56 main:581] : INFO : Epoch 107 | loss: 0.0526476 | val_loss: 0.0526836 | Time: 3641.27 ms [2020-11-26 14:07:00 main:581] : INFO : Epoch 108 | loss: 0.0525899 | val_loss: 0.0527514 | Time: 3594.55 ms [2020-11-26 14:07:03 main:581] : INFO : Epoch 109 | loss: 0.0552812 | val_loss: 0.0559379 | Time: 3238.06 ms [2020-11-26 14:07:08 main:581] : INFO : Epoch 110 | loss: 0.0559386 | val_loss: 0.056116 | Time: 4827.79 ms [2020-11-26 14:07:12 main:581] : INFO : Epoch 111 | loss: 0.0559554 | val_loss: 0.0560066 | Time: 4572.03 ms [2020-11-26 14:07:16 main:581] : INFO : Epoch 112 | loss: 0.0559417 | val_loss: 0.0559343 | Time: 3686.35 ms [2020-11-26 14:07:19 main:581] : INFO : Epoch 113 | loss: 0.0559174 | val_loss: 0.0559214 | Time: 3050.24 ms [2020-11-26 14:07:24 main:581] : INFO : Epoch 114 | loss: 0.0561954 | val_loss: 0.0565263 | Time: 4822.99 ms [2020-11-26 14:07:28 main:581] : INFO : Epoch 115 | loss: 0.0565918 | val_loss: 0.0565306 | Time: 4550.16 ms [2020-11-26 14:07:33 main:581] : INFO : Epoch 116 | loss: 0.0565839 | val_loss: 0.0565098 | Time: 4916.45 ms [2020-11-26 14:07:37 main:581] : INFO : Epoch 117 | loss: 0.056553 | val_loss: 0.0566871 | Time: 3360.12 ms [2020-11-26 14:07:40 main:581] : INFO : Epoch 118 | loss: 0.0566909 | val_loss: 0.0567711 | Time: 2963.74 ms [2020-11-26 14:07:43 main:581] : INFO : Epoch 119 | loss: 0.0568553 | val_loss: 0.0570975 | Time: 3566.82 ms [2020-11-26 14:07:47 main:581] : INFO : Epoch 120 | loss: 0.0568815 | val_loss: 0.0570262 | Time: 3593.9 ms [2020-11-26 14:07:51 main:581] : INFO : Epoch 121 | loss: 0.0570816 | val_loss: 0.0572838 | Time: 4115.06 ms [2020-11-26 14:07:55 main:581] : INFO : Epoch 122 | loss: 0.0571757 | val_loss: 0.0572914 | Time: 4352.76 ms [2020-11-26 14:07:59 main:581] : INFO : Epoch 123 | loss: 0.0571881 | val_loss: 0.0573282 | Time: 3287.39 ms [2020-11-26 14:08:03 main:581] : INFO : Epoch 124 | loss: 0.0572291 | val_loss: 0.0573755 | Time: 4777.14 ms [2020-11-26 14:08:07 main:581] : INFO : Epoch 125 | loss: 0.0572629 | val_loss: 0.0573468 | Time: 3218.74 ms [2020-11-26 14:08:10 main:581] : INFO : Epoch 126 | loss: 0.0573138 | val_loss: 0.0573974 | Time: 3066.98 ms [2020-11-26 14:08:13 main:581] : INFO : Epoch 127 | loss: 0.0574832 | val_loss: 0.057551 | Time: 3810.82 ms [2020-11-26 14:08:17 main:581] : INFO : Epoch 128 | loss: 0.0577722 | val_loss: 0.0578162 | Time: 3798.43 ms [2020-11-26 14:08:20 main:581] : INFO : Epoch 129 | loss: 0.0578151 | val_loss: 0.0578234 | Time: 3224.86 ms [2020-11-26 14:08:26 main:581] : INFO : Epoch 130 | loss: 0.0577971 | val_loss: 0.0578127 | Time: 5123.87 ms [2020-11-26 14:08:30 main:581] : INFO : Epoch 131 | loss: 0.0578679 | val_loss: 0.0578854 | Time: 4587.38 ms [2020-11-26 14:08:34 main:581] : INFO : Epoch 132 | loss: 0.0578783 | val_loss: 0.0578528 | Time: 4221.3 ms [2020-11-26 14:08:38 main:581] : INFO : Epoch 133 | loss: 0.0578677 | val_loss: 0.0578351 | Time: 3174.27 ms [2020-11-26 14:08:41 main:581] : INFO : Epoch 134 | loss: 0.0578589 | val_loss: 0.0578561 | Time: 3458.96 ms [2020-11-26 14:08:44 main:581] : INFO : Epoch 135 | loss: 0.057883 | val_loss: 0.0578715 | Time: 3285.64 ms [2020-11-26 14:08:47 main:581] : INFO : Epoch 136 | loss: 0.0578757 | val_loss: 0.0578915 | Time: 3081.2 ms [2020-11-26 14:08:51 main:581] : INFO : Epoch 137 | loss: 0.0578933 | val_loss: 0.0578969 | Time: 3831.01 ms [2020-11-26 14:08:55 main:581] : INFO : Epoch 138 | loss: 0.057994 | val_loss: 0.0580191 | Time: 3334.17 ms [2020-11-26 14:08:58 main:581] : INFO : Epoch 139 | loss: 0.0579794 | val_loss: 0.0580261 | Time: 3071.77 ms [2020-11-26 14:09:01 main:581] : INFO : Epoch 140 | loss: 0.0579717 | val_loss: 0.0578704 | Time: 3841.31 ms [2020-11-26 14:09:05 main:581] : INFO : Epoch 141 | loss: 0.0582955 | val_loss: 0.0584104 | Time: 3124.1 ms [2020-11-26 14:09:09 main:581] : INFO : Epoch 142 | loss: 0.0584281 | val_loss: 0.0584518 | Time: 4026.66 ms [2020-11-26 14:09:12 main:581] : INFO : Epoch 143 | loss: 0.0584366 | val_loss: 0.0584187 | Time: 3609.01 ms [2020-11-26 14:09:15 main:581] : INFO : Epoch 144 | loss: 0.0586365 | val_loss: 0.0587212 | Time: 3109.04 ms [2020-11-26 14:09:19 main:581] : INFO : Epoch 145 | loss: 0.0587025 | val_loss: 0.0585831 | Time: 3239.48 ms [2020-11-26 14:09:22 main:581] : INFO : Epoch 146 | loss: 0.0586649 | val_loss: 0.0585565 | Time: 3022.57 ms [2020-11-26 14:09:25 main:581] : INFO : Epoch 147 | loss: 0.0586919 | val_loss: 0.0586474 | Time: 3140.4 ms [2020-11-26 14:09:29 main:581] : INFO : Epoch 148 | loss: 0.0587195 | val_loss: 0.0586519 | Time: 4518.79 ms [2020-11-26 14:09:32 main:581] : INFO : Epoch 149 | loss: 0.0587138 | val_loss: 0.0586451 | Time: 3260.67 ms [2020-11-26 14:09:35 main:581] : INFO : Epoch 150 | loss: 0.0587082 | val_loss: 0.0586153 | Time: 2989.95 ms [2020-11-26 14:09:39 main:581] : INFO : Epoch 151 | loss: 0.0586704 | val_loss: 0.0585956 | Time: 3469.16 ms [2020-11-26 14:09:42 main:581] : INFO : Epoch 152 | loss: 0.0586892 | val_loss: 0.0587391 | Time: 3096.32 ms [2020-11-26 14:09:45 main:581] : INFO : Epoch 153 | loss: 0.0587714 | val_loss: 0.0588222 | Time: 3183.44 ms [2020-11-26 14:09:49 main:581] : INFO : Epoch 154 | loss: 0.0588084 | val_loss: 0.0588387 | Time: 3780.59 ms [2020-11-26 14:09:53 main:581] : INFO : Epoch 155 | loss: 0.0589068 | val_loss: 0.0589511 | Time: 4009.66 ms [2020-11-26 14:09:57 main:581] : INFO : Epoch 156 | loss: 0.0589709 | val_loss: 0.0589599 | Time: 3493.21 ms [2020-11-26 14:10:00 main:581] : INFO : Epoch 157 | loss: 0.058974 | val_loss: 0.0589266 | Time: 3214.73 ms [2020-11-26 14:10:03 main:581] : INFO : Epoch 158 | loss: 0.0591084 | val_loss: 0.0591839 | Time: 3227.08 ms [2020-11-26 14:10:06 main:581] : INFO : Epoch 159 | loss: 0.0592141 | val_loss: 0.0593041 | Time: 3484.3 ms [2020-11-26 14:10:09 main:581] : INFO : Epoch 160 | loss: 0.0592756 | val_loss: 0.0592966 | Time: 3034.23 ms [2020-11-26 14:10:12 main:581] : INFO : Epoch 161 | loss: 0.0592631 | val_loss: 0.0592715 | Time: 2985.62 ms [2020-11-26 14:10:16 main:581] : INFO : Epoch 162 | loss: 0.0592312 | val_loss: 0.0592541 | Time: 3317.94 ms [2020-11-26 14:10:19 main:581] : INFO : Epoch 163 | loss: 0.0592048 | val_loss: 0.0592285 | Time: 3255.54 ms [2020-11-26 14:10:22 main:581] : INFO : Epoch 164 | loss: 0.0591733 | val_loss: 0.0591677 | Time: 3266.86 ms [2020-11-26 14:10:25 main:581] : INFO : Epoch 165 | loss: 0.0590156 | val_loss: 0.0589924 | Time: 2981.26 ms [2020-11-26 14:10:29 main:581] : INFO : Epoch 166 | loss: 0.0589605 | val_loss: 0.0589685 | Time: 3279.38 ms [2020-11-26 14:10:32 main:581] : INFO : Epoch 167 | loss: 0.0589228 | val_loss: 0.0589649 | Time: 3388.43 ms [2020-11-26 14:10:35 main:581] : INFO : Epoch 168 | loss: 0.0589086 | val_loss: 0.0589031 | Time: 3514.75 ms [2020-11-26 14:10:39 main:581] : INFO : Epoch 169 | loss: 0.0588565 | val_loss: 0.0588731 | Time: 3314.55 ms [2020-11-26 14:10:42 main:581] : INFO : Epoch 170 | loss: 0.0588378 | val_loss: 0.058857 | Time: 3264.42 ms [2020-11-26 14:10:45 main:581] : INFO : Epoch 171 | loss: 0.0588329 | val_loss: 0.0588423 | Time: 3105.9 ms [2020-11-26 14:10:49 main:581] : INFO : Epoch 172 | loss: 0.0589008 | val_loss: 0.0589576 | Time: 3922.02 ms [2020-11-26 14:10:52 main:581] : INFO : Epoch 173 | loss: 0.0589272 | val_loss: 0.0589214 | Time: 3036.7 ms [2020-11-26 14:10:55 main:581] : INFO : Epoch 174 | loss: 0.0589044 | val_loss: 0.0589255 | Time: 2950.37 ms [2020-11-26 14:10:58 main:581] : INFO : Epoch 175 | loss: 0.0588859 | val_loss: 0.0589026 | Time: 2973.44 ms [2020-11-26 14:11:01 main:581] : INFO : Epoch 176 | loss: 0.0588663 | val_loss: 0.0588643 | Time: 3351.63 ms [2020-11-26 14:11:05 main:581] : INFO : Epoch 177 | loss: 0.05882 | val_loss: 0.058827 | Time: 3194.72 ms [2020-11-26 14:11:08 main:581] : INFO : Epoch 178 | loss: 0.0588 | val_loss: 0.0588029 | Time: 2953.76 ms [2020-11-26 14:11:11 main:581] : INFO : Epoch 179 | loss: 0.0587898 | val_loss: 0.058836 | Time: 3018.43 ms [2020-11-26 14:11:14 main:581] : INFO : Epoch 180 | loss: 0.0587163 | val_loss: 0.058705 | Time: 3044.59 ms [2020-11-26 14:11:17 main:581] : INFO : Epoch 181 | loss: 0.0586527 | val_loss: 0.0586899 | Time: 3095.09 ms [2020-11-26 14:11:21 main:581] : INFO : Epoch 182 | loss: 0.0586426 | val_loss: 0.0587154 | Time: 3825.52 ms [2020-11-26 14:11:24 main:581] : INFO : Epoch 183 | loss: 0.0587176 | val_loss: 0.0589112 | Time: 3250.51 ms [2020-11-26 14:11:27 main:581] : INFO : Epoch 184 | loss: 0.0588333 | val_loss: 0.0588889 | Time: 2970.34 ms [2020-11-26 14:11:30 main:581] : INFO : Epoch 185 | loss: 0.0588288 | val_loss: 0.0588807 | Time: 3625.01 ms [2020-11-26 14:11:33 main:581] : INFO : Epoch 186 | loss: 0.0588297 | val_loss: 0.0589003 | Time: 2962.12 ms [2020-11-26 14:11:37 main:581] : INFO : Epoch 187 | loss: 0.0588219 | val_loss: 0.0588963 | Time: 3380.27 ms [2020-11-26 14:11:40 main:581] : INFO : Epoch 188 | loss: 0.0588763 | val_loss: 0.0589206 | Time: 2995.23 ms [2020-11-26 14:11:43 main:581] : INFO : Epoch 189 | loss: 0.0588632 | val_loss: 0.0588702 | Time: 2993.29 ms [2020-11-26 14:11:46 main:581] : INFO : Epoch 190 | loss: 0.0588304 | val_loss: 0.0587736 | Time: 3099.39 ms [2020-11-26 14:11:49 main:581] : INFO : Epoch 191 | loss: 0.0587251 | val_loss: 0.0587534 | Time: 3046.55 ms [2020-11-26 14:11:52 main:581] : INFO : Epoch 192 | loss: 0.058714 | val_loss: 0.0587071 | Time: 3275.16 ms [2020-11-26 14:11:52 main:604] : INFO : Saving trained model to model-final.pt, val_loss 0.0587071 [2020-11-26 14:11:52 main:610] : INFO : Saving end state to config to file [2020-11-26 14:11:52 main:615] : INFO : Success, exiting.. 14:11:52 (15033): 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)