Task 2861998
| Name | rand_automata_0026-1605108253-27998-0_0 |
| Workunit | 1291088 |
| Created | 11 Nov 2020, 15:24:18 UTC |
| Sent | 11 Nov 2020, 19:57:15 UTC |
| Report deadline | 19 Nov 2020, 19:57:15 UTC |
| Received | 12 Nov 2020, 4:25:08 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 3369 |
| Run time | 10 min 50 sec |
| CPU time | 10 min 43 sec |
| Validate state | Valid |
| Credit | 959.40 |
| Device peak FLOPS | 3,923.22 GFLOPS |
| Application version | Machine Learning Dataset Generator (GPU) v9.75 (cuda10200) windows_x86_64 |
| Peak working set size | 1.41 GB |
| Peak swap size | 3.04 GB |
| Peak disk usage | 1.53 GB |
Stderr output
<core_client_version>7.16.11</core_client_version> <![CDATA[ <stderr_txt> Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: GeForce GTX 970) [2020-11-12 04:57:06 main:435] : INFO : Set logging level to 1 [2020-11-12 04:57:06 main:441] : INFO : Running in BOINC Client mode [2020-11-12 04:57:06 main:444] : INFO : Resolving all filenames [2020-11-12 04:57:06 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0026-train-val-dataset.hdf5 (exists = 1) [2020-11-12 04:57:06 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0026-1605108253-27998-0_0_r1152498370_1 (exists = 0) [2020-11-12 04:57:06 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0026-1605108253-27998-0_0_r1152498370_0 (exists = 0) [2020-11-12 04:57:06 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 0) [2020-11-12 04:57:06 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-12 04:57:06 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/rand_automata_0026-train-val-dataset.hdf5 [2020-11-12 04:57:06 main:474] : INFO : Configuration: [2020-11-12 04:57:06 main:475] : INFO : Model type: LSTM [2020-11-12 04:57:06 main:476] : INFO : Validation Loss Threshold: 0.0001 [2020-11-12 04:57:06 main:477] : INFO : Max Epochs: 192 [2020-11-12 04:57:06 main:478] : INFO : Batch Size: 32 [2020-11-12 04:57:06 main:479] : INFO : Learning Rate: 0.001 [2020-11-12 04:57:06 main:480] : INFO : Patience: 10 [2020-11-12 04:57:06 main:481] : INFO : Hidden Width: 64 [2020-11-12 04:57:06 main:482] : INFO : # Recurrent Layers: 4 [2020-11-12 04:57:06 main:483] : INFO : # Backend Layers: 2 [2020-11-12 04:57:06 main:484] : INFO : # Threads: 1 [2020-11-12 04:57:06 main:486] : INFO : Preparing Dataset [2020-11-12 04:57:06 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0026-train-val-dataset.hdf5 into memory [2020-11-12 04:57:06 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0026-train-val-dataset.hdf5 into memory [2020-11-12 04:57:08 load:106] : INFO : Successfully loaded dataset of 4096 examples into memory. [2020-11-12 04:57:08 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0026-train-val-dataset.hdf5 into memory [2020-11-12 04:57:08 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0026-train-val-dataset.hdf5 into memory [2020-11-12 04:57:08 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-12 04:57:08 main:494] : INFO : Creating Model [2020-11-12 04:57:08 main:507] : INFO : Preparing config file [2020-11-12 04:57:08 main:519] : INFO : Creating new config file [2020-11-12 04:57:09 main:559] : INFO : Loading DataLoader into Memory [2020-11-12 04:57:09 main:562] : INFO : Starting Training [2020-11-12 04:57:12 main:574] : INFO : Epoch 1 | loss: 0.0664001 | val_loss: 0.0657592 | Time: 3551.11 ms [2020-11-12 04:57:16 main:574] : INFO : Epoch 2 | loss: 0.0655246 | val_loss: 0.0643863 | Time: 3397.37 ms [2020-11-12 04:57:19 main:574] : INFO : Epoch 3 | loss: 0.0637996 | val_loss: 0.0620958 | Time: 3447.66 ms [2020-11-12 04:57:22 main:574] : INFO : Epoch 4 | loss: 0.0600312 | val_loss: 0.0582751 | Time: 3260.37 ms [2020-11-12 04:57:26 main:574] : INFO : Epoch 5 | loss: 0.0571325 | val_loss: 0.0561536 | Time: 3390.41 ms [2020-11-12 04:57:29 main:574] : INFO : Epoch 6 | loss: 0.0553707 | val_loss: 0.054602 | Time: 3466.77 ms [2020-11-12 04:57:32 main:574] : INFO : Epoch 7 | loss: 0.0539603 | val_loss: 0.0532911 | Time: 3243.87 ms [2020-11-12 04:57:36 main:574] : INFO : Epoch 8 | loss: 0.0525978 | val_loss: 0.0520647 | Time: 3387.68 ms [2020-11-12 04:57:39 main:574] : INFO : Epoch 9 | loss: 0.0511474 | val_loss: 0.0505933 | Time: 3377.09 ms [2020-11-12 04:57:42 main:574] : INFO : Epoch 10 | loss: 0.0495244 | val_loss: 0.048967 | Time: 3246 ms [2020-11-12 04:57:46 main:574] : INFO : Epoch 11 | loss: 0.0477486 | val_loss: 0.0471496 | Time: 3391.92 ms [2020-11-12 04:57:49 main:574] : INFO : Epoch 12 | loss: 0.0455879 | val_loss: 0.045442 | Time: 3373.24 ms [2020-11-12 04:57:52 main:574] : INFO : Epoch 13 | loss: 0.0431025 | val_loss: 0.0426988 | Time: 3286.88 ms [2020-11-12 04:57:56 main:574] : INFO : Epoch 14 | loss: 0.0403054 | val_loss: 0.0396678 | Time: 3567.86 ms [2020-11-12 04:57:59 main:574] : INFO : Epoch 15 | loss: 0.0370542 | val_loss: 0.0373745 | Time: 3340.58 ms [2020-11-12 04:58:03 main:574] : INFO : Epoch 16 | loss: 0.0345231 | val_loss: 0.0398721 | Time: 3278.6 ms [2020-11-12 04:58:06 main:574] : INFO : Epoch 17 | loss: 0.0324054 | val_loss: 0.0308626 | Time: 3389.13 ms [2020-11-12 04:58:09 main:574] : INFO : Epoch 18 | loss: 0.0290752 | val_loss: 0.0306531 | Time: 3354.9 ms [2020-11-12 04:58:13 main:574] : INFO : Epoch 19 | loss: 0.0301637 | val_loss: 0.0263823 | Time: 3271.64 ms [2020-11-12 04:58:16 main:574] : INFO : Epoch 20 | loss: 0.0260817 | val_loss: 0.0271393 | Time: 3385.71 ms [2020-11-12 04:58:19 main:574] : INFO : Epoch 21 | loss: 0.0451593 | val_loss: 0.0570225 | Time: 3342.55 ms [2020-11-12 04:58:23 main:574] : INFO : Epoch 22 | loss: 0.0507989 | val_loss: 0.0431952 | Time: 3294.43 ms [2020-11-12 04:58:26 main:574] : INFO : Epoch 23 | loss: 0.0312111 | val_loss: 0.0240288 | Time: 3383.68 ms [2020-11-12 04:58:29 main:574] : INFO : Epoch 24 | loss: 0.0341995 | val_loss: 0.0548884 | Time: 3338.01 ms [2020-11-12 04:58:33 main:574] : INFO : Epoch 25 | loss: 0.0379817 | val_loss: 0.0276902 | Time: 3318.47 ms [2020-11-12 04:58:36 main:574] : INFO : Epoch 26 | loss: 0.0247311 | val_loss: 0.0282069 | Time: 3391.44 ms [2020-11-12 04:58:40 main:574] : INFO : Epoch 27 | loss: 0.0181591 | val_loss: 0.0154246 | Time: 3346.08 ms [2020-11-12 04:58:43 main:574] : INFO : Epoch 28 | loss: 0.0172464 | val_loss: 0.0213206 | Time: 3301.77 ms [2020-11-12 04:58:46 main:574] : INFO : Epoch 29 | loss: 0.0185883 | val_loss: 0.0149085 | Time: 3382.11 ms [2020-11-12 04:58:50 main:574] : INFO : Epoch 30 | loss: 0.0134498 | val_loss: 0.0127038 | Time: 3322.05 ms [2020-11-12 04:58:53 main:574] : INFO : Epoch 31 | loss: 0.0167816 | val_loss: 0.0171495 | Time: 3267.42 ms [2020-11-12 04:58:56 main:574] : INFO : Epoch 32 | loss: 0.0120421 | val_loss: 0.0110038 | Time: 3376.78 ms [2020-11-12 04:59:00 main:574] : INFO : Epoch 33 | loss: 0.0109839 | val_loss: 0.011485 | Time: 3336.65 ms [2020-11-12 04:59:03 main:574] : INFO : Epoch 34 | loss: 0.0104562 | val_loss: 0.00980419 | Time: 3298.83 ms [2020-11-12 04:59:06 main:574] : INFO : Epoch 35 | loss: 0.00903665 | val_loss: 0.00890963 | Time: 3395.97 ms [2020-11-12 04:59:10 main:574] : INFO : Epoch 36 | loss: 0.00963219 | val_loss: 0.00870756 | Time: 3338.62 ms [2020-11-12 04:59:13 main:574] : INFO : Epoch 37 | loss: 0.0206899 | val_loss: 0.0440168 | Time: 3298.8 ms [2020-11-12 04:59:16 main:574] : INFO : Epoch 38 | loss: 0.0173012 | val_loss: 0.00960088 | Time: 3387.41 ms [2020-11-12 04:59:20 main:574] : INFO : Epoch 39 | loss: 0.00914119 | val_loss: 0.00867789 | Time: 3328.52 ms [2020-11-12 04:59:23 main:574] : INFO : Epoch 40 | loss: 0.00875681 | val_loss: 0.0104191 | Time: 3327.65 ms [2020-11-12 04:59:26 main:574] : INFO : Epoch 41 | loss: 0.00805272 | val_loss: 0.00759752 | Time: 3393.8 ms [2020-11-12 04:59:30 main:574] : INFO : Epoch 42 | loss: 0.00896929 | val_loss: 0.00987669 | Time: 3338.32 ms [2020-11-12 04:59:33 main:574] : INFO : Epoch 43 | loss: 0.00769925 | val_loss: 0.0072139 | Time: 3307.4 ms [2020-11-12 04:59:36 main:574] : INFO : Epoch 44 | loss: 0.00686368 | val_loss: 0.00681869 | Time: 3390.89 ms [2020-11-12 04:59:40 main:574] : INFO : Epoch 45 | loss: 0.00654904 | val_loss: 0.00654756 | Time: 3323.5 ms [2020-11-12 04:59:43 main:574] : INFO : Epoch 46 | loss: 0.0062876 | val_loss: 0.00629864 | Time: 3299.44 ms [2020-11-12 04:59:46 main:574] : INFO : Epoch 47 | loss: 0.0060744 | val_loss: 0.00609588 | Time: 3379.47 ms [2020-11-12 04:59:50 main:574] : INFO : Epoch 48 | loss: 0.005876 | val_loss: 0.0059074 | Time: 3319.57 ms [2020-11-12 04:59:53 main:574] : INFO : Epoch 49 | loss: 0.00568165 | val_loss: 0.00571182 | Time: 3320.95 ms [2020-11-12 04:59:56 main:574] : INFO : Epoch 50 | loss: 0.0056054 | val_loss: 0.00560639 | Time: 3385.97 ms [2020-11-12 05:00:00 main:574] : INFO : Epoch 51 | loss: 0.00534706 | val_loss: 0.00543113 | Time: 3313.41 ms [2020-11-12 05:00:03 main:574] : INFO : Epoch 52 | loss: 0.00515647 | val_loss: 0.00516672 | Time: 3321.82 ms [2020-11-12 05:00:06 main:574] : INFO : Epoch 53 | loss: 0.00496844 | val_loss: 0.00497696 | Time: 3393.23 ms [2020-11-12 05:00:10 main:574] : INFO : Epoch 54 | loss: 0.00479773 | val_loss: 0.00479992 | Time: 3329.6 ms [2020-11-12 05:00:13 main:574] : INFO : Epoch 55 | loss: 0.00463289 | val_loss: 0.00462849 | Time: 3310.72 ms [2020-11-12 05:00:17 main:574] : INFO : Epoch 56 | loss: 0.00446957 | val_loss: 0.00446015 | Time: 3381.87 ms [2020-11-12 05:00:20 main:574] : INFO : Epoch 57 | loss: 0.00431119 | val_loss: 0.00430424 | Time: 3310.8 ms [2020-11-12 05:00:23 main:574] : INFO : Epoch 58 | loss: 0.00415158 | val_loss: 0.00414003 | Time: 3314.8 ms [2020-11-12 05:00:27 main:574] : INFO : Epoch 59 | loss: 0.00399723 | val_loss: 0.00398106 | Time: 3380.55 ms [2020-11-12 05:00:30 main:574] : INFO : Epoch 60 | loss: 0.00384566 | val_loss: 0.00382929 | Time: 3308.36 ms [2020-11-12 05:00:33 main:574] : INFO : Epoch 61 | loss: 0.00369652 | val_loss: 0.00367707 | Time: 3303.89 ms [2020-11-12 05:00:37 main:574] : INFO : Epoch 62 | loss: 0.00355099 | val_loss: 0.0035272 | Time: 3386.72 ms [2020-11-12 05:00:40 main:574] : INFO : Epoch 63 | loss: 0.00340893 | val_loss: 0.00338505 | Time: 3313.26 ms [2020-11-12 05:00:43 main:574] : INFO : Epoch 64 | loss: 0.00327084 | val_loss: 0.00323691 | Time: 3310.73 ms [2020-11-12 05:00:47 main:574] : INFO : Epoch 65 | loss: 0.00313424 | val_loss: 0.00309916 | Time: 3384.36 ms [2020-11-12 05:00:50 main:574] : INFO : Epoch 66 | loss: 0.00300217 | val_loss: 0.00296801 | Time: 3316.05 ms [2020-11-12 05:00:53 main:574] : INFO : Epoch 67 | loss: 0.00287392 | val_loss: 0.00283675 | Time: 3320.65 ms [2020-11-12 05:00:57 main:574] : INFO : Epoch 68 | loss: 0.00274966 | val_loss: 0.00271213 | Time: 3385.68 ms [2020-11-12 05:01:00 main:574] : INFO : Epoch 69 | loss: 0.00262811 | val_loss: 0.0025878 | Time: 3328.95 ms [2020-11-12 05:01:03 main:574] : INFO : Epoch 70 | loss: 0.00251133 | val_loss: 0.00247012 | Time: 3313.6 ms [2020-11-12 05:01:07 main:574] : INFO : Epoch 71 | loss: 0.00239793 | val_loss: 0.00235702 | Time: 3386.15 ms [2020-11-12 05:01:10 main:574] : INFO : Epoch 72 | loss: 0.00228742 | val_loss: 0.00224559 | Time: 3307.05 ms [2020-11-12 05:01:13 main:574] : INFO : Epoch 73 | loss: 0.00218219 | val_loss: 0.00214201 | Time: 3321.53 ms [2020-11-12 05:01:17 main:574] : INFO : Epoch 74 | loss: 0.00208004 | val_loss: 0.00203822 | Time: 3393.39 ms [2020-11-12 05:01:20 main:574] : INFO : Epoch 75 | loss: 0.00198161 | val_loss: 0.00194341 | Time: 3311.14 ms [2020-11-12 05:01:23 main:574] : INFO : Epoch 76 | loss: 0.00188773 | val_loss: 0.00185176 | Time: 3320.95 ms [2020-11-12 05:01:27 main:574] : INFO : Epoch 77 | loss: 0.00179757 | val_loss: 0.00176128 | Time: 3386.91 ms [2020-11-12 05:01:30 main:574] : INFO : Epoch 78 | loss: 0.00171133 | val_loss: 0.0016749 | Time: 3303.81 ms [2020-11-12 05:01:33 main:574] : INFO : Epoch 79 | loss: 0.00162829 | val_loss: 0.00159244 | Time: 3341.62 ms [2020-11-12 05:01:37 main:574] : INFO : Epoch 80 | loss: 0.00154931 | val_loss: 0.00151579 | Time: 3388.45 ms [2020-11-12 05:01:40 main:574] : INFO : Epoch 81 | loss: 0.00147271 | val_loss: 0.00144229 | Time: 3306.08 ms [2020-11-12 05:01:43 main:574] : INFO : Epoch 82 | loss: 0.00140172 | val_loss: 0.00137208 | Time: 3332.74 ms [2020-11-12 05:01:47 main:574] : INFO : Epoch 83 | loss: 0.00133249 | val_loss: 0.00130231 | Time: 3394.62 ms [2020-11-12 05:01:50 main:574] : INFO : Epoch 84 | loss: 0.00126634 | val_loss: 0.0012415 | Time: 3307.1 ms [2020-11-12 05:01:53 main:574] : INFO : Epoch 85 | loss: 0.00120399 | val_loss: 0.00117829 | Time: 3327.93 ms [2020-11-12 05:01:57 main:574] : INFO : Epoch 86 | loss: 0.00114399 | val_loss: 0.00112173 | Time: 3394.48 ms [2020-11-12 05:02:00 main:574] : INFO : Epoch 87 | loss: 0.00108713 | val_loss: 0.0010632 | Time: 3299.3 ms [2020-11-12 05:02:03 main:574] : INFO : Epoch 88 | loss: 0.00103306 | val_loss: 0.00101017 | Time: 3345.29 ms [2020-11-12 05:02:07 main:574] : INFO : Epoch 89 | loss: 0.000981082 | val_loss: 0.000959712 | Time: 3390.02 ms [2020-11-12 05:02:10 main:574] : INFO : Epoch 90 | loss: 0.000932051 | val_loss: 0.000912649 | Time: 3298.58 ms [2020-11-12 05:02:14 main:574] : INFO : Epoch 91 | loss: 0.000884907 | val_loss: 0.000865676 | Time: 3346.07 ms [2020-11-12 05:02:17 main:574] : INFO : Epoch 92 | loss: 0.000841186 | val_loss: 0.000822216 | Time: 3392.03 ms [2020-11-12 05:02:20 main:574] : INFO : Epoch 93 | loss: 0.000798865 | val_loss: 0.000780932 | Time: 3296.7 ms [2020-11-12 05:02:24 main:574] : INFO : Epoch 94 | loss: 0.000758506 | val_loss: 0.000739378 | Time: 3335.81 ms [2020-11-12 05:02:27 main:574] : INFO : Epoch 95 | loss: 0.000720301 | val_loss: 0.000701733 | Time: 3396.89 ms [2020-11-12 05:02:30 main:574] : INFO : Epoch 96 | loss: 0.000684084 | val_loss: 0.000666606 | Time: 3353.95 ms [2020-11-12 05:02:34 main:574] : INFO : Epoch 97 | loss: 0.000649367 | val_loss: 0.000633174 | Time: 3333.7 ms [2020-11-12 05:02:37 main:574] : INFO : Epoch 98 | loss: 0.000617408 | val_loss: 0.000601818 | Time: 3381.14 ms [2020-11-12 05:02:40 main:574] : INFO : Epoch 99 | loss: 0.000586591 | val_loss: 0.000573961 | Time: 3274.55 ms [2020-11-12 05:02:44 main:574] : INFO : Epoch 100 | loss: 0.000557504 | val_loss: 0.000545222 | Time: 3359.05 ms [2020-11-12 05:02:47 main:574] : INFO : Epoch 101 | loss: 0.000529752 | val_loss: 0.000516442 | Time: 3392.17 ms [2020-11-12 05:02:50 main:574] : INFO : Epoch 102 | loss: 0.000503275 | val_loss: 0.000488849 | Time: 3287.97 ms [2020-11-12 05:02:54 main:574] : INFO : Epoch 103 | loss: 0.000477934 | val_loss: 0.000464885 | Time: 3354.26 ms [2020-11-12 05:02:57 main:574] : INFO : Epoch 104 | loss: 0.000455197 | val_loss: 0.00044204 | Time: 3395.93 ms [2020-11-12 05:03:00 main:574] : INFO : Epoch 105 | loss: 0.000432707 | val_loss: 0.000420471 | Time: 3286.69 ms [2020-11-12 05:03:04 main:574] : INFO : Epoch 106 | loss: 0.00041168 | val_loss: 0.000400866 | Time: 3350.52 ms [2020-11-12 05:03:07 main:574] : INFO : Epoch 107 | loss: 0.000392474 | val_loss: 0.000381984 | Time: 3393.95 ms [2020-11-12 05:03:10 main:574] : INFO : Epoch 108 | loss: 0.000373665 | val_loss: 0.000362989 | Time: 3273.76 ms [2020-11-12 05:03:14 main:574] : INFO : Epoch 109 | loss: 0.000355816 | val_loss: 0.000346004 | Time: 3356.5 ms [2020-11-12 05:03:17 main:574] : INFO : Epoch 110 | loss: 0.000339204 | val_loss: 0.000330436 | Time: 3396.96 ms [2020-11-12 05:03:20 main:574] : INFO : Epoch 111 | loss: 0.000323791 | val_loss: 0.000314523 | Time: 3271.99 ms [2020-11-12 05:03:24 main:574] : INFO : Epoch 112 | loss: 0.000308862 | val_loss: 0.000299255 | Time: 3365.75 ms [2020-11-12 05:03:27 main:574] : INFO : Epoch 113 | loss: 0.000294725 | val_loss: 0.000286107 | Time: 3394.35 ms [2020-11-12 05:03:31 main:574] : INFO : Epoch 114 | loss: 0.000280844 | val_loss: 0.000272904 | Time: 3277.62 ms [2020-11-12 05:03:34 main:574] : INFO : Epoch 115 | loss: 0.000268911 | val_loss: 0.000263218 | Time: 3364.64 ms [2020-11-12 05:03:37 main:574] : INFO : Epoch 116 | loss: 0.000256806 | val_loss: 0.00024874 | Time: 3387.12 ms [2020-11-12 05:03:41 main:574] : INFO : Epoch 117 | loss: 0.000245466 | val_loss: 0.000239684 | Time: 3274.32 ms [2020-11-12 05:03:44 main:574] : INFO : Epoch 118 | loss: 0.000235143 | val_loss: 0.000227728 | Time: 3373.57 ms [2020-11-12 05:03:47 main:574] : INFO : Epoch 119 | loss: 0.000224701 | val_loss: 0.000219391 | Time: 3400.52 ms [2020-11-12 05:03:51 main:574] : INFO : Epoch 120 | loss: 0.000215661 | val_loss: 0.000208556 | Time: 3285.85 ms [2020-11-12 05:03:54 main:574] : INFO : Epoch 121 | loss: 0.000205574 | val_loss: 0.00019888 | Time: 3374.84 ms [2020-11-12 05:03:57 main:574] : INFO : Epoch 122 | loss: 0.000196911 | val_loss: 0.000193204 | Time: 3394 ms [2020-11-12 05:04:01 main:574] : INFO : Epoch 123 | loss: 0.000188978 | val_loss: 0.000183852 | Time: 3298.77 ms [2020-11-12 05:04:04 main:574] : INFO : Epoch 124 | loss: 0.000181076 | val_loss: 0.000177128 | Time: 3381.64 ms [2020-11-12 05:04:07 main:574] : INFO : Epoch 125 | loss: 0.000173572 | val_loss: 0.000168272 | Time: 3390.9 ms [2020-11-12 05:04:11 main:574] : INFO : Epoch 126 | loss: 0.000166609 | val_loss: 0.000161104 | Time: 3250.03 ms [2020-11-12 05:04:14 main:574] : INFO : Epoch 127 | loss: 0.000160027 | val_loss: 0.000156463 | Time: 3380 ms [2020-11-12 05:04:18 main:574] : INFO : Epoch 128 | loss: 0.000154137 | val_loss: 0.000149591 | Time: 3386.71 ms [2020-11-12 05:04:21 main:574] : INFO : Epoch 129 | loss: 0.00014774 | val_loss: 0.000143289 | Time: 3263.7 ms [2020-11-12 05:04:24 main:574] : INFO : Epoch 130 | loss: 0.000141747 | val_loss: 0.000139428 | Time: 3394.94 ms [2020-11-12 05:04:28 main:574] : INFO : Epoch 131 | loss: 0.000136476 | val_loss: 0.000132576 | Time: 3382.95 ms [2020-11-12 05:04:31 main:574] : INFO : Epoch 132 | loss: 0.000131667 | val_loss: 0.000128359 | Time: 3239.57 ms [2020-11-12 05:04:34 main:574] : INFO : Epoch 133 | loss: 0.000126393 | val_loss: 0.000123302 | Time: 3386.93 ms [2020-11-12 05:04:38 main:574] : INFO : Epoch 134 | loss: 0.00012185 | val_loss: 0.000118773 | Time: 3385.91 ms [2020-11-12 05:04:41 main:574] : INFO : Epoch 135 | loss: 0.000117774 | val_loss: 0.00011486 | Time: 3243.78 ms [2020-11-12 05:04:44 main:574] : INFO : Epoch 136 | loss: 0.000113559 | val_loss: 0.000113154 | Time: 3380.7 ms [2020-11-12 05:04:48 main:574] : INFO : Epoch 137 | loss: 0.000109471 | val_loss: 0.000105519 | Time: 3395.52 ms [2020-11-12 05:04:51 main:574] : INFO : Epoch 138 | loss: 0.000105638 | val_loss: 0.000104054 | Time: 3270.9 ms [2020-11-12 05:04:54 main:574] : INFO : Epoch 139 | loss: 0.000102194 | val_loss: 0.000102896 | Time: 3385.39 ms [2020-11-12 05:04:58 main:574] : INFO : Epoch 140 | loss: 9.86992e-05 | val_loss: 9.57242e-05 | Time: 3384.34 ms [2020-11-12 05:05:01 main:574] : INFO : Epoch 141 | loss: 9.53487e-05 | val_loss: 9.45203e-05 | Time: 3265.58 ms [2020-11-12 05:05:04 main:574] : INFO : Epoch 142 | loss: 9.23017e-05 | val_loss: 9.01273e-05 | Time: 3379.55 ms [2020-11-12 05:05:08 main:574] : INFO : Epoch 143 | loss: 8.97004e-05 | val_loss: 8.84547e-05 | Time: 3404.1 ms [2020-11-12 05:05:11 main:574] : INFO : Epoch 144 | loss: 8.6538e-05 | val_loss: 8.54733e-05 | Time: 3237.28 ms [2020-11-12 05:05:14 main:574] : INFO : Epoch 145 | loss: 8.40561e-05 | val_loss: 8.28511e-05 | Time: 3394.67 ms [2020-11-12 05:05:18 main:574] : INFO : Epoch 146 | loss: 8.17396e-05 | val_loss: 7.885e-05 | Time: 3395.6 ms [2020-11-12 05:05:21 main:574] : INFO : Epoch 147 | loss: 7.91832e-05 | val_loss: 7.88132e-05 | Time: 3233.49 ms [2020-11-12 05:05:24 main:574] : INFO : Epoch 148 | loss: 7.70049e-05 | val_loss: 7.61024e-05 | Time: 3391.8 ms [2020-11-12 05:05:28 main:574] : INFO : Epoch 149 | loss: 7.47478e-05 | val_loss: 7.40506e-05 | Time: 3387.61 ms [2020-11-12 05:05:31 main:574] : INFO : Epoch 150 | loss: 7.20823e-05 | val_loss: 7.22378e-05 | Time: 3240.63 ms [2020-11-12 05:05:34 main:574] : INFO : Epoch 151 | loss: 7.00921e-05 | val_loss: 6.97222e-05 | Time: 3398.59 ms [2020-11-12 05:05:38 main:574] : INFO : Epoch 152 | loss: 6.85223e-05 | val_loss: 6.67387e-05 | Time: 3392.29 ms [2020-11-12 05:05:41 main:574] : INFO : Epoch 153 | loss: 6.66402e-05 | val_loss: 6.61798e-05 | Time: 3266.85 ms [2020-11-12 05:05:45 main:574] : INFO : Epoch 154 | loss: 6.5334e-05 | val_loss: 6.41689e-05 | Time: 3390.01 ms [2020-11-12 05:05:48 main:574] : INFO : Epoch 155 | loss: 6.30178e-05 | val_loss: 6.40286e-05 | Time: 3399.5 ms [2020-11-12 05:05:51 main:574] : INFO : Epoch 156 | loss: 6.14517e-05 | val_loss: 6.00953e-05 | Time: 3261.72 ms [2020-11-12 05:05:55 main:574] : INFO : Epoch 157 | loss: 5.98153e-05 | val_loss: 6.01404e-05 | Time: 3396.74 ms [2020-11-12 05:05:58 main:574] : INFO : Epoch 158 | loss: 5.84777e-05 | val_loss: 5.80597e-05 | Time: 3390.47 ms [2020-11-12 05:06:01 main:574] : INFO : Epoch 159 | loss: 5.70369e-05 | val_loss: 5.54261e-05 | Time: 3238.68 ms [2020-11-12 05:06:05 main:574] : INFO : Epoch 160 | loss: 5.55663e-05 | val_loss: 5.51653e-05 | Time: 3389.82 ms [2020-11-12 05:06:08 main:574] : INFO : Epoch 161 | loss: 5.44667e-05 | val_loss: 5.42387e-05 | Time: 3392.97 ms [2020-11-12 05:06:11 main:574] : INFO : Epoch 162 | loss: 5.36951e-05 | val_loss: 5.40736e-05 | Time: 3268.21 ms [2020-11-12 05:06:15 main:574] : INFO : Epoch 163 | loss: 5.19012e-05 | val_loss: 5.07109e-05 | Time: 3398.94 ms [2020-11-12 05:06:18 main:574] : INFO : Epoch 164 | loss: 5.07162e-05 | val_loss: 5.07362e-05 | Time: 3389.6 ms [2020-11-12 05:06:21 main:574] : INFO : Epoch 165 | loss: 4.94577e-05 | val_loss: 4.96966e-05 | Time: 3243.72 ms [2020-11-12 05:06:25 main:574] : INFO : Epoch 166 | loss: 4.89007e-05 | val_loss: 4.81618e-05 | Time: 3391.88 ms [2020-11-12 05:06:28 main:574] : INFO : Epoch 167 | loss: 4.77635e-05 | val_loss: 4.74127e-05 | Time: 3392.11 ms [2020-11-12 05:06:31 main:574] : INFO : Epoch 168 | loss: 4.64953e-05 | val_loss: 4.60255e-05 | Time: 3215.31 ms [2020-11-12 05:06:35 main:574] : INFO : Epoch 169 | loss: 4.56757e-05 | val_loss: 4.54141e-05 | Time: 3383.19 ms [2020-11-12 05:06:38 main:574] : INFO : Epoch 170 | loss: 4.49488e-05 | val_loss: 4.42985e-05 | Time: 3382.65 ms [2020-11-12 05:06:41 main:574] : INFO : Epoch 171 | loss: 4.36551e-05 | val_loss: 4.37627e-05 | Time: 3252.97 ms [2020-11-12 05:06:45 main:574] : INFO : Epoch 172 | loss: 4.30431e-05 | val_loss: 4.29297e-05 | Time: 3392.19 ms [2020-11-12 05:06:48 main:574] : INFO : Epoch 173 | loss: 4.2153e-05 | val_loss: 4.26322e-05 | Time: 3380.76 ms [2020-11-12 05:06:51 main:574] : INFO : Epoch 174 | loss: 4.16408e-05 | val_loss: 4.12195e-05 | Time: 3238.65 ms [2020-11-12 05:06:55 main:574] : INFO : Epoch 175 | loss: 4.06788e-05 | val_loss: 3.99927e-05 | Time: 3404.53 ms [2020-11-12 05:06:58 main:574] : INFO : Epoch 176 | loss: 3.97299e-05 | val_loss: 3.89804e-05 | Time: 3401.99 ms [2020-11-12 05:07:01 main:574] : INFO : Epoch 177 | loss: 3.89737e-05 | val_loss: 3.85551e-05 | Time: 3246.73 ms [2020-11-12 05:07:05 main:574] : INFO : Epoch 178 | loss: 3.83354e-05 | val_loss: 4.00438e-05 | Time: 3400.86 ms [2020-11-12 05:07:08 main:574] : INFO : Epoch 179 | loss: 3.75942e-05 | val_loss: 3.73879e-05 | Time: 3394.22 ms [2020-11-12 05:07:12 main:574] : INFO : Epoch 180 | loss: 3.7259e-05 | val_loss: 3.6838e-05 | Time: 3260.45 ms [2020-11-12 05:07:15 main:574] : INFO : Epoch 181 | loss: 3.63893e-05 | val_loss: 3.65666e-05 | Time: 3405.55 ms [2020-11-12 05:07:18 main:574] : INFO : Epoch 182 | loss: 3.57906e-05 | val_loss: 3.59507e-05 | Time: 3387.26 ms [2020-11-12 05:07:22 main:574] : INFO : Epoch 183 | loss: 3.52867e-05 | val_loss: 3.45816e-05 | Time: 3273.45 ms [2020-11-12 05:07:25 main:574] : INFO : Epoch 184 | loss: 3.48378e-05 | val_loss: 3.53348e-05 | Time: 3397.05 ms [2020-11-12 05:07:28 main:574] : INFO : Epoch 185 | loss: 3.40897e-05 | val_loss: 3.50169e-05 | Time: 3392.97 ms [2020-11-12 05:07:32 main:574] : INFO : Epoch 186 | loss: 3.40985e-05 | val_loss: 3.40772e-05 | Time: 3249.3 ms [2020-11-12 05:07:35 main:574] : INFO : Epoch 187 | loss: 3.32719e-05 | val_loss: 3.29109e-05 | Time: 3404.02 ms [2020-11-12 05:07:38 main:574] : INFO : Epoch 188 | loss: 3.25707e-05 | val_loss: 3.33469e-05 | Time: 3386.42 ms [2020-11-12 05:07:42 main:574] : INFO : Epoch 189 | loss: 3.23194e-05 | val_loss: 3.19719e-05 | Time: 3272.31 ms [2020-11-12 05:07:45 main:574] : INFO : Epoch 190 | loss: 3.1754e-05 | val_loss: 3.17672e-05 | Time: 3478.74 ms [2020-11-12 05:07:49 main:574] : INFO : Epoch 191 | loss: 3.10876e-05 | val_loss: 3.09019e-05 | Time: 3393.65 ms [2020-11-12 05:07:52 main:574] : INFO : Epoch 192 | loss: 3.04608e-05 | val_loss: 3.0594e-05 | Time: 3252.83 ms [2020-11-12 05:07:52 main:597] : INFO : Saving trained model to model-final.pt, val_loss 3.0594e-05 [2020-11-12 05:07:52 main:603] : INFO : Saving end state to config to file [2020-11-12 05:07:52 main:608] : INFO : Success, exiting.. 05:07:52 (820): 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)