| Name | rand_automata_0000-1606118478-6234-0_0 |
| Workunit | 1376960 |
| Created | 23 Nov 2020, 8:01:20 UTC |
| Sent | 24 Nov 2020, 0:31:12 UTC |
| Report deadline | 24 Nov 2020, 23:01:12 UTC |
| Received | 24 Nov 2020, 0:44:39 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 4754 |
| Run time | 12 min 56 sec |
| CPU time | 12 min 50 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 |
<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 -a LSTM -w 64 -b 2 -s 32 --lr 0.001 --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) [2020-11-23 19:31:35 main:442] : INFO : Set logging level to 1 [2020-11-23 19:31:35 main:448] : INFO : Running in BOINC Client mode [2020-11-23 19:31:35 main:451] : INFO : Resolving all filenames [2020-11-23 19:31:35 main:459] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0000-train-val-dataset.hdf5 (exists = 1) [2020-11-23 19:31:35 main:459] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0000-1606118478-6234-0_0_r1844109783_1 (exists = 0) [2020-11-23 19:31:35 main:459] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0000-1606118478-6234-0_0_r1844109783_0 (exists = 0) [2020-11-23 19:31:35 main:459] : INFO : Resolved: model-input.pt => model-input.pt (exists = 0) [2020-11-23 19:31:35 main:459] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-23 19:31:35 main:479] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/rand_automata_0000-train-val-dataset.hdf5 [2020-11-23 19:31:35 main:481] : INFO : Configuration: [2020-11-23 19:31:35 main:482] : INFO : Model type: LSTM [2020-11-23 19:31:35 main:483] : INFO : Validation Loss Threshold: 0.0001 [2020-11-23 19:31:35 main:484] : INFO : Max Epochs: 192 [2020-11-23 19:31:35 main:485] : INFO : Batch Size: 32 [2020-11-23 19:31:35 main:486] : INFO : Learning Rate: 0.001 [2020-11-23 19:31:35 main:487] : INFO : Patience: 10 [2020-11-23 19:31:35 main:488] : INFO : Hidden Width: 64 [2020-11-23 19:31:35 main:489] : INFO : # Recurrent Layers: 4 [2020-11-23 19:31:35 main:490] : INFO : # Backend Layers: 2 [2020-11-23 19:31:35 main:491] : INFO : # Threads: 1 [2020-11-23 19:31:35 main:493] : INFO : Preparing Dataset [2020-11-23 19:31:35 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0000-train-val-dataset.hdf5 into memory [2020-11-23 19:31:35 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0000-train-val-dataset.hdf5 into memory [2020-11-23 19:31:38 load:106] : INFO : Successfully loaded dataset of 4096 examples into memory. [2020-11-23 19:31:38 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0000-train-val-dataset.hdf5 into memory [2020-11-23 19:31:38 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0000-train-val-dataset.hdf5 into memory [2020-11-23 19:31:38 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-23 19:31:38 main:501] : INFO : Creating Model [2020-11-23 19:31:38 main:514] : INFO : Preparing config file [2020-11-23 19:31:38 main:526] : INFO : Creating new config file [2020-11-23 19:31:38 main:566] : INFO : Loading DataLoader into Memory [2020-11-23 19:31:38 main:569] : INFO : Starting Training [2020-11-23 19:31:43 main:581] : INFO : Epoch 1 | loss: 0.06633 | val_loss: 0.0658871 | Time: 4765.94 ms [2020-11-23 19:31:47 main:581] : INFO : Epoch 2 | loss: 0.0655907 | val_loss: 0.0641811 | Time: 4123.43 ms [2020-11-23 19:31:51 main:581] : INFO : Epoch 3 | loss: 0.0628095 | val_loss: 0.061504 | Time: 4168.43 ms [2020-11-23 19:31:55 main:581] : INFO : Epoch 4 | loss: 0.0600483 | val_loss: 0.058777 | Time: 4149.97 ms [2020-11-23 19:32:00 main:581] : INFO : Epoch 5 | loss: 0.0577469 | val_loss: 0.0569846 | Time: 4174.78 ms [2020-11-23 19:32:04 main:581] : INFO : Epoch 6 | loss: 0.0562354 | val_loss: 0.0557446 | Time: 4165.04 ms [2020-11-23 19:32:08 main:581] : INFO : Epoch 7 | loss: 0.0550588 | val_loss: 0.0547764 | Time: 4228.75 ms [2020-11-23 19:32:12 main:581] : INFO : Epoch 8 | loss: 0.0540318 | val_loss: 0.0538779 | Time: 4200.86 ms [2020-11-23 19:32:16 main:581] : INFO : Epoch 9 | loss: 0.053028 | val_loss: 0.052873 | Time: 4162.37 ms [2020-11-23 19:32:21 main:581] : INFO : Epoch 10 | loss: 0.0520686 | val_loss: 0.0518721 | Time: 4202.29 ms [2020-11-23 19:32:25 main:581] : INFO : Epoch 11 | loss: 0.0509944 | val_loss: 0.0509366 | Time: 4153.67 ms [2020-11-23 19:32:29 main:581] : INFO : Epoch 12 | loss: 0.049835 | val_loss: 0.0499164 | Time: 4200.82 ms [2020-11-23 19:32:33 main:581] : INFO : Epoch 13 | loss: 0.0485697 | val_loss: 0.0483658 | Time: 4075.37 ms [2020-11-23 19:32:37 main:581] : INFO : Epoch 14 | loss: 0.047016 | val_loss: 0.0468129 | Time: 4171.18 ms [2020-11-23 19:32:41 main:581] : INFO : Epoch 15 | loss: 0.0452386 | val_loss: 0.0451104 | Time: 4172.36 ms [2020-11-23 19:32:45 main:581] : INFO : Epoch 16 | loss: 0.0431216 | val_loss: 0.0425862 | Time: 4090.24 ms [2020-11-23 19:32:49 main:581] : INFO : Epoch 17 | loss: 0.0405663 | val_loss: 0.0401374 | Time: 4110.5 ms [2020-11-23 19:32:54 main:581] : INFO : Epoch 18 | loss: 0.0376716 | val_loss: 0.0371903 | Time: 4087.71 ms [2020-11-23 19:32:58 main:581] : INFO : Epoch 19 | loss: 0.0342823 | val_loss: 0.033731 | Time: 4136.61 ms [2020-11-23 19:33:02 main:581] : INFO : Epoch 20 | loss: 0.0312854 | val_loss: 0.0312102 | Time: 4033.14 ms [2020-11-23 19:33:06 main:581] : INFO : Epoch 21 | loss: 0.0307735 | val_loss: 0.0276017 | Time: 4182.14 ms [2020-11-23 19:33:10 main:581] : INFO : Epoch 22 | loss: 0.0256254 | val_loss: 0.0316969 | Time: 4131.43 ms [2020-11-23 19:33:14 main:581] : INFO : Epoch 23 | loss: 0.0247461 | val_loss: 0.0346282 | Time: 4096.65 ms [2020-11-23 19:33:18 main:581] : INFO : Epoch 24 | loss: 0.0356512 | val_loss: 0.0606454 | Time: 4063.58 ms [2020-11-23 19:33:22 main:581] : INFO : Epoch 25 | loss: 0.058731 | val_loss: 0.057567 | Time: 4081.58 ms [2020-11-23 19:33:26 main:581] : INFO : Epoch 26 | loss: 0.0560541 | val_loss: 0.0548535 | Time: 4129.87 ms [2020-11-23 19:33:31 main:581] : INFO : Epoch 27 | loss: 0.0526421 | val_loss: 0.0506438 | Time: 4075.95 ms [2020-11-23 19:33:34 main:581] : INFO : Epoch 28 | loss: 0.0461437 | val_loss: 0.0419407 | Time: 3989.27 ms [2020-11-23 19:33:39 main:581] : INFO : Epoch 29 | loss: 0.0352161 | val_loss: 0.0335164 | Time: 4141.4 ms [2020-11-23 19:33:43 main:581] : INFO : Epoch 30 | loss: 0.0236672 | val_loss: 0.0235501 | Time: 3978.15 ms [2020-11-23 19:33:47 main:581] : INFO : Epoch 31 | loss: 0.0258512 | val_loss: 0.0309324 | Time: 4042.44 ms [2020-11-23 19:33:51 main:581] : INFO : Epoch 32 | loss: 0.0178498 | val_loss: 0.0149563 | Time: 3974.87 ms [2020-11-23 19:33:55 main:581] : INFO : Epoch 33 | loss: 0.0402907 | val_loss: 0.0392511 | Time: 4174.04 ms [2020-11-23 19:33:59 main:581] : INFO : Epoch 34 | loss: 0.021594 | val_loss: 0.0158717 | Time: 4030.02 ms [2020-11-23 19:34:03 main:581] : INFO : Epoch 35 | loss: 0.0136253 | val_loss: 0.0137489 | Time: 4053.33 ms [2020-11-23 19:34:07 main:581] : INFO : Epoch 36 | loss: 0.0172617 | val_loss: 0.0170717 | Time: 4021.01 ms [2020-11-23 19:34:11 main:581] : INFO : Epoch 37 | loss: 0.0122762 | val_loss: 0.0113148 | Time: 4016.88 ms [2020-11-23 19:34:15 main:581] : INFO : Epoch 38 | loss: 0.0115869 | val_loss: 0.0135988 | Time: 4050.08 ms [2020-11-23 19:34:19 main:581] : INFO : Epoch 39 | loss: 0.0107365 | val_loss: 0.0134256 | Time: 4074.31 ms [2020-11-23 19:34:23 main:581] : INFO : Epoch 40 | loss: 0.0109772 | val_loss: 0.00985285 | Time: 4088.47 ms [2020-11-23 19:34:27 main:581] : INFO : Epoch 41 | loss: 0.00909607 | val_loss: 0.00918211 | Time: 4090.72 ms [2020-11-23 19:34:31 main:581] : INFO : Epoch 42 | loss: 0.00888585 | val_loss: 0.00899561 | Time: 4036.43 ms [2020-11-23 19:34:35 main:581] : INFO : Epoch 43 | loss: 0.00837616 | val_loss: 0.0084899 | Time: 3948.35 ms [2020-11-23 19:34:39 main:581] : INFO : Epoch 44 | loss: 0.00807074 | val_loss: 0.00817408 | Time: 4027.3 ms [2020-11-23 19:34:43 main:581] : INFO : Epoch 45 | loss: 0.00778717 | val_loss: 0.00790711 | Time: 4025.9 ms [2020-11-23 19:34:47 main:581] : INFO : Epoch 46 | loss: 0.00754203 | val_loss: 0.00762816 | Time: 4057.66 ms [2020-11-23 19:34:51 main:581] : INFO : Epoch 47 | loss: 0.00731198 | val_loss: 0.00743353 | Time: 3974.05 ms [2020-11-23 19:34:55 main:581] : INFO : Epoch 48 | loss: 0.00708621 | val_loss: 0.0070942 | Time: 4020.28 ms [2020-11-23 19:34:59 main:581] : INFO : Epoch 49 | loss: 0.00685743 | val_loss: 0.00686031 | Time: 4055.59 ms [2020-11-23 19:35:03 main:581] : INFO : Epoch 50 | loss: 0.00663582 | val_loss: 0.0066351 | Time: 3999.09 ms [2020-11-23 19:35:07 main:581] : INFO : Epoch 51 | loss: 0.00642561 | val_loss: 0.00640751 | Time: 4038.18 ms [2020-11-23 19:35:11 main:581] : INFO : Epoch 52 | loss: 0.00622236 | val_loss: 0.00616208 | Time: 3977.26 ms [2020-11-23 19:35:15 main:581] : INFO : Epoch 53 | loss: 0.00601515 | val_loss: 0.00600412 | Time: 3998.96 ms [2020-11-23 19:35:19 main:581] : INFO : Epoch 54 | loss: 0.00581529 | val_loss: 0.00575842 | Time: 4054.46 ms [2020-11-23 19:35:23 main:581] : INFO : Epoch 55 | loss: 0.00561983 | val_loss: 0.00555785 | Time: 4000.47 ms [2020-11-23 19:35:27 main:581] : INFO : Epoch 56 | loss: 0.00543142 | val_loss: 0.00536751 | Time: 3987.6 ms [2020-11-23 19:35:32 main:581] : INFO : Epoch 57 | loss: 0.00524256 | val_loss: 0.00518481 | Time: 4063.49 ms [2020-11-23 19:35:35 main:581] : INFO : Epoch 58 | loss: 0.00505928 | val_loss: 0.00499038 | Time: 3986.98 ms [2020-11-23 19:35:40 main:581] : INFO : Epoch 59 | loss: 0.00487832 | val_loss: 0.00481347 | Time: 4008.71 ms [2020-11-23 19:35:44 main:581] : INFO : Epoch 60 | loss: 0.00470066 | val_loss: 0.00462418 | Time: 4117.88 ms [2020-11-23 19:35:48 main:581] : INFO : Epoch 61 | loss: 0.0045261 | val_loss: 0.00444714 | Time: 3985.59 ms [2020-11-23 19:35:52 main:581] : INFO : Epoch 62 | loss: 0.00435671 | val_loss: 0.00428349 | Time: 4049.53 ms [2020-11-23 19:35:56 main:581] : INFO : Epoch 63 | loss: 0.00418949 | val_loss: 0.00411595 | Time: 4014.89 ms [2020-11-23 19:36:00 main:581] : INFO : Epoch 64 | loss: 0.00402694 | val_loss: 0.00394231 | Time: 4007.82 ms [2020-11-23 19:36:04 main:581] : INFO : Epoch 65 | loss: 0.00386753 | val_loss: 0.0037862 | Time: 4044.62 ms [2020-11-23 19:36:08 main:581] : INFO : Epoch 66 | loss: 0.00371193 | val_loss: 0.00363206 | Time: 3964.34 ms [2020-11-23 19:36:12 main:581] : INFO : Epoch 67 | loss: 0.00356103 | val_loss: 0.00347788 | Time: 3957.53 ms [2020-11-23 19:36:16 main:581] : INFO : Epoch 68 | loss: 0.00341289 | val_loss: 0.00333209 | Time: 3855 ms [2020-11-23 19:36:20 main:581] : INFO : Epoch 69 | loss: 0.00326892 | val_loss: 0.00318743 | Time: 4088.33 ms [2020-11-23 19:36:24 main:581] : INFO : Epoch 70 | loss: 0.00312849 | val_loss: 0.00305044 | Time: 4003.2 ms [2020-11-23 19:36:27 main:581] : INFO : Epoch 71 | loss: 0.002994 | val_loss: 0.00291743 | Time: 3824.02 ms [2020-11-23 19:36:31 main:581] : INFO : Epoch 72 | loss: 0.0028632 | val_loss: 0.00279131 | Time: 4027.37 ms [2020-11-23 19:36:35 main:581] : INFO : Epoch 73 | loss: 0.00273792 | val_loss: 0.002663 | Time: 4020.35 ms [2020-11-23 19:36:39 main:581] : INFO : Epoch 74 | loss: 0.00261383 | val_loss: 0.00254486 | Time: 3956.54 ms [2020-11-23 19:36:43 main:581] : INFO : Epoch 75 | loss: 0.00249554 | val_loss: 0.00242664 | Time: 4045.24 ms [2020-11-23 19:36:47 main:581] : INFO : Epoch 76 | loss: 0.00238229 | val_loss: 0.00231501 | Time: 3865.68 ms [2020-11-23 19:36:51 main:581] : INFO : Epoch 77 | loss: 0.00227274 | val_loss: 0.00221137 | Time: 4101.44 ms [2020-11-23 19:36:55 main:581] : INFO : Epoch 78 | loss: 0.00216862 | val_loss: 0.00210959 | Time: 3797.89 ms [2020-11-23 19:36:59 main:581] : INFO : Epoch 79 | loss: 0.0020672 | val_loss: 0.00200583 | Time: 3830.45 ms [2020-11-23 19:37:03 main:581] : INFO : Epoch 80 | loss: 0.00196941 | val_loss: 0.00191476 | Time: 3777.13 ms [2020-11-23 19:37:07 main:581] : INFO : Epoch 81 | loss: 0.00187644 | val_loss: 0.00182217 | Time: 4077.26 ms [2020-11-23 19:37:11 main:581] : INFO : Epoch 82 | loss: 0.00178709 | val_loss: 0.00173971 | Time: 3961.21 ms [2020-11-23 19:37:15 main:581] : INFO : Epoch 83 | loss: 0.00170129 | val_loss: 0.00165062 | Time: 3916.31 ms [2020-11-23 19:37:19 main:581] : INFO : Epoch 84 | loss: 0.00161994 | val_loss: 0.00157398 | Time: 3941.4 ms [2020-11-23 19:37:23 main:581] : INFO : Epoch 85 | loss: 0.00154198 | val_loss: 0.00149565 | Time: 4049.39 ms [2020-11-23 19:37:27 main:581] : INFO : Epoch 86 | loss: 0.00146738 | val_loss: 0.00144021 | Time: 4001.66 ms [2020-11-23 19:37:31 main:581] : INFO : Epoch 87 | loss: 0.00139652 | val_loss: 0.00135233 | Time: 3883.22 ms [2020-11-23 19:37:35 main:581] : INFO : Epoch 88 | loss: 0.00132868 | val_loss: 0.00128971 | Time: 3983.88 ms [2020-11-23 19:37:39 main:581] : INFO : Epoch 89 | loss: 0.00126395 | val_loss: 0.00124389 | Time: 3999.19 ms [2020-11-23 19:37:43 main:581] : INFO : Epoch 90 | loss: 0.0012032 | val_loss: 0.0011682 | Time: 3915.19 ms [2020-11-23 19:37:47 main:581] : INFO : Epoch 91 | loss: 0.0011454 | val_loss: 0.00111172 | Time: 4020.15 ms [2020-11-23 19:37:51 main:581] : INFO : Epoch 92 | loss: 0.00109101 | val_loss: 0.00105911 | Time: 3918.18 ms [2020-11-23 19:37:55 main:581] : INFO : Epoch 93 | loss: 0.00103788 | val_loss: 0.00101146 | Time: 3981.29 ms [2020-11-23 19:37:58 main:581] : INFO : Epoch 94 | loss: 0.000989562 | val_loss: 0.000958888 | Time: 3927.92 ms [2020-11-23 19:38:02 main:581] : INFO : Epoch 95 | loss: 0.00094253 | val_loss: 0.000911846 | Time: 3999.39 ms [2020-11-23 19:38:06 main:581] : INFO : Epoch 96 | loss: 0.000897939 | val_loss: 0.000869986 | Time: 3995.16 ms [2020-11-23 19:38:10 main:581] : INFO : Epoch 97 | loss: 0.00085618 | val_loss: 0.000829474 | Time: 3959.57 ms [2020-11-23 19:38:14 main:581] : INFO : Epoch 98 | loss: 0.000814921 | val_loss: 0.000793328 | Time: 4029.68 ms [2020-11-23 19:38:18 main:581] : INFO : Epoch 99 | loss: 0.000777843 | val_loss: 0.00075469 | Time: 3870.16 ms [2020-11-23 19:38:22 main:581] : INFO : Epoch 100 | loss: 0.000740846 | val_loss: 0.000720635 | Time: 3939.33 ms [2020-11-23 19:38:26 main:581] : INFO : Epoch 101 | loss: 0.000706344 | val_loss: 0.000689894 | Time: 3940.4 ms [2020-11-23 19:38:30 main:581] : INFO : Epoch 102 | loss: 0.000675013 | val_loss: 0.000657553 | Time: 3956.81 ms [2020-11-23 19:38:34 main:581] : INFO : Epoch 103 | loss: 0.000642399 | val_loss: 0.000628118 | Time: 3903.45 ms [2020-11-23 19:38:38 main:581] : INFO : Epoch 104 | loss: 0.00061382 | val_loss: 0.000598759 | Time: 4033.74 ms [2020-11-23 19:38:42 main:581] : INFO : Epoch 105 | loss: 0.000586107 | val_loss: 0.000569459 | Time: 3960.51 ms [2020-11-23 19:38:46 main:581] : INFO : Epoch 106 | loss: 0.000557829 | val_loss: 0.00054447 | Time: 3983.66 ms [2020-11-23 19:38:50 main:581] : INFO : Epoch 107 | loss: 0.000532774 | val_loss: 0.000517093 | Time: 3846.18 ms [2020-11-23 19:38:54 main:581] : INFO : Epoch 108 | loss: 0.000506913 | val_loss: 0.000497447 | Time: 3955.86 ms [2020-11-23 19:38:58 main:581] : INFO : Epoch 109 | loss: 0.000483949 | val_loss: 0.000471604 | Time: 3939.38 ms [2020-11-23 19:39:02 main:581] : INFO : Epoch 110 | loss: 0.000463451 | val_loss: 0.000449725 | Time: 3902.52 ms [2020-11-23 19:39:06 main:581] : INFO : Epoch 111 | loss: 0.000441932 | val_loss: 0.000429617 | Time: 3976.36 ms [2020-11-23 19:39:10 main:581] : INFO : Epoch 112 | loss: 0.000422048 | val_loss: 0.000413098 | Time: 4005.54 ms [2020-11-23 19:39:13 main:581] : INFO : Epoch 113 | loss: 0.000401755 | val_loss: 0.000393999 | Time: 3833.19 ms [2020-11-23 19:39:17 main:581] : INFO : Epoch 114 | loss: 0.000385804 | val_loss: 0.000376429 | Time: 3969.15 ms [2020-11-23 19:39:21 main:581] : INFO : Epoch 115 | loss: 0.000367884 | val_loss: 0.000361734 | Time: 3917.1 ms [2020-11-23 19:39:25 main:581] : INFO : Epoch 116 | loss: 0.000351385 | val_loss: 0.000344669 | Time: 3918.88 ms [2020-11-23 19:39:29 main:581] : INFO : Epoch 117 | loss: 0.000336731 | val_loss: 0.000330402 | Time: 3964.48 ms [2020-11-23 19:39:33 main:581] : INFO : Epoch 118 | loss: 0.000322451 | val_loss: 0.000315471 | Time: 3936.92 ms [2020-11-23 19:39:37 main:581] : INFO : Epoch 119 | loss: 0.000309284 | val_loss: 0.000304733 | Time: 4052.95 ms [2020-11-23 19:39:41 main:581] : INFO : Epoch 120 | loss: 0.000296567 | val_loss: 0.000287477 | Time: 4006.73 ms [2020-11-23 19:39:45 main:581] : INFO : Epoch 121 | loss: 0.000282845 | val_loss: 0.000276561 | Time: 4010.65 ms [2020-11-23 19:39:49 main:581] : INFO : Epoch 122 | loss: 0.000272218 | val_loss: 0.000265037 | Time: 3854.03 ms [2020-11-23 19:39:53 main:581] : INFO : Epoch 123 | loss: 0.000262408 | val_loss: 0.000256328 | Time: 4007.35 ms [2020-11-23 19:39:57 main:581] : INFO : Epoch 124 | loss: 0.000252504 | val_loss: 0.000247098 | Time: 4047.98 ms [2020-11-23 19:40:01 main:581] : INFO : Epoch 125 | loss: 0.000241235 | val_loss: 0.000236196 | Time: 4049.03 ms [2020-11-23 19:40:05 main:581] : INFO : Epoch 126 | loss: 0.000232285 | val_loss: 0.000227759 | Time: 4056.38 ms [2020-11-23 19:40:09 main:581] : INFO : Epoch 127 | loss: 0.000224273 | val_loss: 0.000223203 | Time: 3685.66 ms [2020-11-23 19:40:13 main:581] : INFO : Epoch 128 | loss: 0.000216622 | val_loss: 0.000215819 | Time: 3916.42 ms [2020-11-23 19:40:17 main:581] : INFO : Epoch 129 | loss: 0.000209038 | val_loss: 0.000203803 | Time: 3885.67 ms [2020-11-23 19:40:21 main:581] : INFO : Epoch 130 | loss: 0.000200732 | val_loss: 0.000202283 | Time: 3912.53 ms [2020-11-23 19:40:25 main:581] : INFO : Epoch 131 | loss: 0.000195022 | val_loss: 0.00019281 | Time: 4154 ms [2020-11-23 19:40:29 main:581] : INFO : Epoch 132 | loss: 0.000188143 | val_loss: 0.000186688 | Time: 3974.8 ms [2020-11-23 19:40:33 main:581] : INFO : Epoch 133 | loss: 0.000181571 | val_loss: 0.000179073 | Time: 3750.95 ms [2020-11-23 19:40:36 main:581] : INFO : Epoch 134 | loss: 0.00017514 | val_loss: 0.000173195 | Time: 3625.06 ms [2020-11-23 19:40:40 main:581] : INFO : Epoch 135 | loss: 0.000170048 | val_loss: 0.000165207 | Time: 4045.23 ms [2020-11-23 19:40:44 main:581] : INFO : Epoch 136 | loss: 0.000165339 | val_loss: 0.000163699 | Time: 3890.98 ms [2020-11-23 19:40:48 main:581] : INFO : Epoch 137 | loss: 0.000160099 | val_loss: 0.000159026 | Time: 4147.12 ms [2020-11-23 19:40:52 main:581] : INFO : Epoch 138 | loss: 0.000155831 | val_loss: 0.000152494 | Time: 4213.3 ms [2020-11-23 19:40:56 main:581] : INFO : Epoch 139 | loss: 0.000149243 | val_loss: 0.000145157 | Time: 3988.88 ms [2020-11-23 19:41:00 main:581] : INFO : Epoch 140 | loss: 0.000145813 | val_loss: 0.000144732 | Time: 3764.26 ms [2020-11-23 19:41:04 main:581] : INFO : Epoch 141 | loss: 0.000141821 | val_loss: 0.000139865 | Time: 3929.11 ms [2020-11-23 19:41:08 main:581] : INFO : Epoch 142 | loss: 0.000137364 | val_loss: 0.000133306 | Time: 3937.51 ms [2020-11-23 19:41:12 main:581] : INFO : Epoch 143 | loss: 0.000134541 | val_loss: 0.000131379 | Time: 4059.3 ms [2020-11-23 19:41:16 main:581] : INFO : Epoch 144 | loss: 0.00013166 | val_loss: 0.000129519 | Time: 3801.06 ms [2020-11-23 19:41:20 main:581] : INFO : Epoch 145 | loss: 0.000126646 | val_loss: 0.000125157 | Time: 3913.93 ms [2020-11-23 19:41:24 main:581] : INFO : Epoch 146 | loss: 0.000123545 | val_loss: 0.000124357 | Time: 3869.98 ms [2020-11-23 19:41:28 main:581] : INFO : Epoch 147 | loss: 0.000120614 | val_loss: 0.000120734 | Time: 4048.56 ms [2020-11-23 19:41:32 main:581] : INFO : Epoch 148 | loss: 0.000117024 | val_loss: 0.000116646 | Time: 3979.76 ms [2020-11-23 19:41:36 main:581] : INFO : Epoch 149 | loss: 0.000114059 | val_loss: 0.000112624 | Time: 4091.88 ms [2020-11-23 19:41:40 main:581] : INFO : Epoch 150 | loss: 0.000111811 | val_loss: 0.000112355 | Time: 4047.56 ms [2020-11-23 19:41:44 main:581] : INFO : Epoch 151 | loss: 0.000108183 | val_loss: 0.000112575 | Time: 4036.02 ms [2020-11-23 19:41:48 main:581] : INFO : Epoch 152 | loss: 0.000106358 | val_loss: 0.000104504 | Time: 4138.49 ms [2020-11-23 19:41:52 main:581] : INFO : Epoch 153 | loss: 0.000103933 | val_loss: 0.000104477 | Time: 3997.16 ms [2020-11-23 19:41:56 main:581] : INFO : Epoch 154 | loss: 0.000101713 | val_loss: 0.000100497 | Time: 3701.45 ms [2020-11-23 19:41:59 main:581] : INFO : Epoch 155 | loss: 9.87839e-05 | val_loss: 9.76166e-05 | Time: 3717.03 ms [2020-11-23 19:42:03 main:581] : INFO : Epoch 156 | loss: 9.74434e-05 | val_loss: 9.51203e-05 | Time: 3884.8 ms [2020-11-23 19:42:07 main:581] : INFO : Epoch 157 | loss: 9.4506e-05 | val_loss: 9.5245e-05 | Time: 3732.77 ms [2020-11-23 19:42:11 main:581] : INFO : Epoch 158 | loss: 9.18714e-05 | val_loss: 9.29016e-05 | Time: 4061.43 ms [2020-11-23 19:42:15 main:581] : INFO : Epoch 159 | loss: 9.19439e-05 | val_loss: 8.87097e-05 | Time: 3738.01 ms [2020-11-23 19:42:19 main:581] : INFO : Epoch 160 | loss: 8.8105e-05 | val_loss: 8.76844e-05 | Time: 4092.8 ms [2020-11-23 19:42:23 main:581] : INFO : Epoch 161 | loss: 8.75175e-05 | val_loss: 8.4704e-05 | Time: 4021.34 ms [2020-11-23 19:42:27 main:581] : INFO : Epoch 162 | loss: 8.63855e-05 | val_loss: 9.62523e-05 | Time: 4052.72 ms [2020-11-23 19:42:31 main:581] : INFO : Epoch 163 | loss: 8.56194e-05 | val_loss: 8.19662e-05 | Time: 3926.18 ms [2020-11-23 19:42:35 main:581] : INFO : Epoch 164 | loss: 8.08177e-05 | val_loss: 8.37506e-05 | Time: 3980.03 ms [2020-11-23 19:42:39 main:581] : INFO : Epoch 165 | loss: 8.39708e-05 | val_loss: 8.01232e-05 | Time: 3886.94 ms [2020-11-23 19:42:43 main:581] : INFO : Epoch 166 | loss: 7.82163e-05 | val_loss: 7.60358e-05 | Time: 3887.31 ms [2020-11-23 19:42:47 main:581] : INFO : Epoch 167 | loss: 7.64097e-05 | val_loss: 7.67132e-05 | Time: 4070.04 ms [2020-11-23 19:42:51 main:581] : INFO : Epoch 168 | loss: 7.59638e-05 | val_loss: 7.57091e-05 | Time: 3880.23 ms [2020-11-23 19:42:55 main:581] : INFO : Epoch 169 | loss: 7.33741e-05 | val_loss: 8.06151e-05 | Time: 3976.39 ms [2020-11-23 19:42:59 main:581] : INFO : Epoch 170 | loss: 7.30553e-05 | val_loss: 7.18047e-05 | Time: 4009.78 ms [2020-11-23 19:43:03 main:581] : INFO : Epoch 171 | loss: 7.13689e-05 | val_loss: 7.21623e-05 | Time: 4103.18 ms [2020-11-23 19:43:07 main:581] : INFO : Epoch 172 | loss: 7.23716e-05 | val_loss: 7.12599e-05 | Time: 3817.39 ms [2020-11-23 19:43:11 main:581] : INFO : Epoch 173 | loss: 6.91286e-05 | val_loss: 7.10535e-05 | Time: 3966.85 ms [2020-11-23 19:43:15 main:581] : INFO : Epoch 174 | loss: 6.8518e-05 | val_loss: 6.84887e-05 | Time: 4143.14 ms [2020-11-23 19:43:19 main:581] : INFO : Epoch 175 | loss: 6.64142e-05 | val_loss: 6.80901e-05 | Time: 4074.54 ms [2020-11-23 19:43:23 main:581] : INFO : Epoch 176 | loss: 6.59688e-05 | val_loss: 6.81178e-05 | Time: 4138.67 ms [2020-11-23 19:43:27 main:581] : INFO : Epoch 177 | loss: 6.48115e-05 | val_loss: 6.64974e-05 | Time: 3867.05 ms [2020-11-23 19:43:31 main:581] : INFO : Epoch 178 | loss: 6.48528e-05 | val_loss: 6.20095e-05 | Time: 3967.71 ms [2020-11-23 19:43:35 main:581] : INFO : Epoch 179 | loss: 6.30726e-05 | val_loss: 6.10067e-05 | Time: 4006.45 ms [2020-11-23 19:43:39 main:581] : INFO : Epoch 180 | loss: 6.13734e-05 | val_loss: 5.98887e-05 | Time: 3970.29 ms [2020-11-23 19:43:43 main:581] : INFO : Epoch 181 | loss: 6.21256e-05 | val_loss: 6.16987e-05 | Time: 3742.42 ms [2020-11-23 19:43:47 main:581] : INFO : Epoch 182 | loss: 5.97245e-05 | val_loss: 5.95528e-05 | Time: 4080.38 ms [2020-11-23 19:43:50 main:581] : INFO : Epoch 183 | loss: 6.13088e-05 | val_loss: 6.08293e-05 | Time: 3891.7 ms [2020-11-23 19:43:54 main:581] : INFO : Epoch 184 | loss: 5.87226e-05 | val_loss: 5.58999e-05 | Time: 3921.32 ms [2020-11-23 19:43:58 main:581] : INFO : Epoch 185 | loss: 5.67616e-05 | val_loss: 5.599e-05 | Time: 4045.56 ms [2020-11-23 19:44:03 main:581] : INFO : Epoch 186 | loss: 5.64602e-05 | val_loss: 5.5956e-05 | Time: 4176.06 ms [2020-11-23 19:44:07 main:581] : INFO : Epoch 187 | loss: 5.47282e-05 | val_loss: 5.47242e-05 | Time: 4105.75 ms [2020-11-23 19:44:11 main:581] : INFO : Epoch 188 | loss: 5.45014e-05 | val_loss: 5.58396e-05 | Time: 3971.35 ms [2020-11-23 19:44:15 main:581] : INFO : Epoch 189 | loss: 5.72881e-05 | val_loss: 5.32434e-05 | Time: 3990.09 ms [2020-11-23 19:44:19 main:581] : INFO : Epoch 190 | loss: 5.35108e-05 | val_loss: 5.59672e-05 | Time: 4086.79 ms [2020-11-23 19:44:23 main:581] : INFO : Epoch 191 | loss: 5.2843e-05 | val_loss: 5.43627e-05 | Time: 3847.81 ms [2020-11-23 19:44:27 main:581] : INFO : Epoch 192 | loss: 5.11112e-05 | val_loss: 5.4719e-05 | Time: 4147.27 ms [2020-11-23 19:44:27 main:604] : INFO : Saving trained model to model-final.pt, val_loss 5.4719e-05 [2020-11-23 19:44:27 main:610] : INFO : Saving end state to config to file [2020-11-23 19:44:27 main:615] : INFO : Success, exiting.. 19:44:27 (6459): 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)