Task 3075790
| Name | rand_automata_0025-1606117988-22454-97_0 |
| Workunit | 1403918 |
| Created | 26 Nov 2020, 22:40:05 UTC |
| Sent | 26 Nov 2020, 22:49:51 UTC |
| Report deadline | 3 Dec 2020, 22:49:51 UTC |
| Received | 26 Nov 2020, 23:00:22 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 4754 |
| Run time | 10 min 2 sec |
| CPU time | 9 min 58 sec |
| Validate state | Valid |
| Credit | 959.40 |
| Device peak FLOPS | 3,339.24 GFLOPS |
| Application version | Machine Learning Dataset Generator (test) v9.80 (cuda10200) x86_64-pc-linux-gnu |
| Peak working set size | 2.19 GB |
| Peak swap size | 9.99 GB |
| Peak disk usage | 2.98 GB |
Stderr output
<core_client_version>7.14.2</core_client_version> <![CDATA[ <stderr_txt> DEBUG: Args: ../../projects/www.mlcathome.org_mlcathome/mlds-gpu_9.80_x86_64-pc-linux-gnu__cuda10200 -c -a LSTM --lr 0.001 -w 64 -b 2 -s 32 --maxepoch 192 nthreads: 1 gpudev: 0 Re-exec()-ing to set environment correctly Machine Learning Dataset Generator v9.80 (Linux/x86_64) (libTorch: release/1.7 GPU: GeForce GTX 1650) [2020-11-26 17:50:08 main:442] : INFO : Set logging level to 1 [2020-11-26 17:50:08 main:448] : INFO : Running in BOINC Client mode [2020-11-26 17:50:08 main:451] : INFO : Resolving all filenames [2020-11-26 17:50:08 main:459] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-train-val-dataset.hdf5 (exists = 1) [2020-11-26 17:50:08 main:459] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-1606117988-22454-97_0_r625366089_1 (exists = 0) [2020-11-26 17:50:08 main:459] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-1606117988-22454-97_0_r625366089_0 (exists = 0) [2020-11-26 17:50:08 main:459] : INFO : Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-1606117988-22454-97 (exists = 1) [2020-11-26 17:50:08 main:459] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-26 17:50:08 main:479] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-train-val-dataset.hdf5 [2020-11-26 17:50:08 main:481] : INFO : Configuration: [2020-11-26 17:50:08 main:482] : INFO : Model type: LSTM [2020-11-26 17:50:08 main:483] : INFO : Validation Loss Threshold: 0.0001 [2020-11-26 17:50:08 main:484] : INFO : Max Epochs: 192 [2020-11-26 17:50:08 main:485] : INFO : Batch Size: 32 [2020-11-26 17:50:08 main:486] : INFO : Learning Rate: 0.001 [2020-11-26 17:50:08 main:487] : INFO : Patience: 10 [2020-11-26 17:50:08 main:488] : INFO : Hidden Width: 64 [2020-11-26 17:50:08 main:489] : INFO : # Recurrent Layers: 4 [2020-11-26 17:50:08 main:490] : INFO : # Backend Layers: 2 [2020-11-26 17:50:08 main:491] : INFO : # Threads: 1 [2020-11-26 17:50:08 main:493] : INFO : Preparing Dataset [2020-11-26 17:50:08 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 17:50:09 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 17:50:11 load:106] : INFO : Successfully loaded dataset of 4096 examples into memory. [2020-11-26 17:50:11 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 17:50:11 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 17:50:11 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-26 17:50:11 main:501] : INFO : Creating Model [2020-11-26 17:50:11 main:514] : INFO : Preparing config file [2020-11-26 17:50:11 main:526] : INFO : Creating new config file [2020-11-26 17:50:11 main:545] : INFO : This is a continuation WU, loading previous network [2020-11-26 17:50:11 main:566] : INFO : Loading DataLoader into Memory [2020-11-26 17:50:11 main:569] : INFO : Starting Training [2020-11-26 17:50:18 main:581] : INFO : Epoch 1 | loss: 0.0548747 | val_loss: 0.0547191 | Time: 6570.51 ms [2020-11-26 17:50:21 main:581] : INFO : Epoch 2 | loss: 0.0549461 | val_loss: 0.0549372 | Time: 3122.25 ms [2020-11-26 17:50:24 main:581] : INFO : Epoch 3 | loss: 0.0551524 | val_loss: 0.0550093 | Time: 3142.15 ms [2020-11-26 17:50:27 main:581] : INFO : Epoch 4 | loss: 0.05523 | val_loss: 0.055156 | Time: 3189.49 ms [2020-11-26 17:50:30 main:581] : INFO : Epoch 5 | loss: 0.0552996 | val_loss: 0.0551268 | Time: 3069.62 ms [2020-11-26 17:50:33 main:581] : INFO : Epoch 6 | loss: 0.0552375 | val_loss: 0.0550493 | Time: 2999.46 ms [2020-11-26 17:50:36 main:581] : INFO : Epoch 7 | loss: 0.0552537 | val_loss: 0.0550947 | Time: 3030.79 ms [2020-11-26 17:50:39 main:581] : INFO : Epoch 8 | loss: 0.055293 | val_loss: 0.05498 | Time: 3058.57 ms [2020-11-26 17:50:42 main:581] : INFO : Epoch 9 | loss: 0.0551198 | val_loss: 0.0548788 | Time: 3085.02 ms [2020-11-26 17:50:46 main:581] : INFO : Epoch 10 | loss: 0.0550324 | val_loss: 0.0548652 | Time: 3058.81 ms [2020-11-26 17:50:49 main:581] : INFO : Epoch 11 | loss: 0.0550404 | val_loss: 0.0547845 | Time: 3022.59 ms [2020-11-26 17:50:52 main:581] : INFO : Epoch 12 | loss: 0.0549391 | val_loss: 0.054697 | Time: 3124.55 ms [2020-11-26 17:50:55 main:581] : INFO : Epoch 13 | loss: 0.0551327 | val_loss: 0.0550026 | Time: 3125.09 ms [2020-11-26 17:50:58 main:581] : INFO : Epoch 14 | loss: 0.0552638 | val_loss: 0.0549872 | Time: 3139.44 ms [2020-11-26 17:51:01 main:581] : INFO : Epoch 15 | loss: 0.0552375 | val_loss: 0.0549878 | Time: 3146.88 ms [2020-11-26 17:51:04 main:581] : INFO : Epoch 16 | loss: 0.0552321 | val_loss: 0.054974 | Time: 3089.69 ms [2020-11-26 17:51:07 main:581] : INFO : Epoch 17 | loss: 0.0552632 | val_loss: 0.054995 | Time: 3088.7 ms [2020-11-26 17:51:10 main:581] : INFO : Epoch 18 | loss: 0.0552282 | val_loss: 0.0549734 | Time: 3108.07 ms [2020-11-26 17:51:14 main:581] : INFO : Epoch 19 | loss: 0.0551983 | val_loss: 0.054938 | Time: 3127.14 ms [2020-11-26 17:51:17 main:581] : INFO : Epoch 20 | loss: 0.0551976 | val_loss: 0.054979 | Time: 2989.84 ms [2020-11-26 17:51:19 main:581] : INFO : Epoch 21 | loss: 0.0551994 | val_loss: 0.05495 | Time: 2994.79 ms [2020-11-26 17:51:23 main:581] : INFO : Epoch 22 | loss: 0.0551709 | val_loss: 0.0549446 | Time: 3072.69 ms [2020-11-26 17:51:26 main:581] : INFO : Epoch 23 | loss: 0.055158 | val_loss: 0.0549104 | Time: 3017.82 ms [2020-11-26 17:51:29 main:581] : INFO : Epoch 24 | loss: 0.0551421 | val_loss: 0.0549297 | Time: 3008.38 ms [2020-11-26 17:51:32 main:581] : INFO : Epoch 25 | loss: 0.0551313 | val_loss: 0.054979 | Time: 3035.67 ms [2020-11-26 17:51:35 main:581] : INFO : Epoch 26 | loss: 0.0551461 | val_loss: 0.0549642 | Time: 3183.81 ms [2020-11-26 17:51:38 main:581] : INFO : Epoch 27 | loss: 0.0551431 | val_loss: 0.0549734 | Time: 3162.28 ms [2020-11-26 17:51:41 main:581] : INFO : Epoch 28 | loss: 0.0551262 | val_loss: 0.0549295 | Time: 3223.76 ms [2020-11-26 17:51:44 main:581] : INFO : Epoch 29 | loss: 0.0551325 | val_loss: 0.0548903 | Time: 3134.72 ms [2020-11-26 17:51:47 main:581] : INFO : Epoch 30 | loss: 0.0551282 | val_loss: 0.0548971 | Time: 3059.33 ms [2020-11-26 17:51:50 main:581] : INFO : Epoch 31 | loss: 0.0551103 | val_loss: 0.0548559 | Time: 3028.51 ms [2020-11-26 17:51:53 main:581] : INFO : Epoch 32 | loss: 0.0551143 | val_loss: 0.0548653 | Time: 2981.39 ms [2020-11-26 17:51:56 main:581] : INFO : Epoch 33 | loss: 0.0550901 | val_loss: 0.0548663 | Time: 3077.08 ms [2020-11-26 17:52:00 main:581] : INFO : Epoch 34 | loss: 0.0550921 | val_loss: 0.0548597 | Time: 3023.55 ms [2020-11-26 17:52:03 main:581] : INFO : Epoch 35 | loss: 0.0550761 | val_loss: 0.0548339 | Time: 3215.86 ms [2020-11-26 17:52:06 main:581] : INFO : Epoch 36 | loss: 0.055049 | val_loss: 0.0548259 | Time: 3027.75 ms [2020-11-26 17:52:09 main:581] : INFO : Epoch 37 | loss: 0.0550028 | val_loss: 0.0547877 | Time: 3083.09 ms [2020-11-26 17:52:12 main:581] : INFO : Epoch 38 | loss: 0.0549614 | val_loss: 0.0547571 | Time: 3157.84 ms [2020-11-26 17:52:15 main:581] : INFO : Epoch 39 | loss: 0.0549431 | val_loss: 0.0547666 | Time: 3161.98 ms [2020-11-26 17:52:18 main:581] : INFO : Epoch 40 | loss: 0.0549121 | val_loss: 0.0547879 | Time: 2996.68 ms [2020-11-26 17:52:21 main:581] : INFO : Epoch 41 | loss: 0.0549091 | val_loss: 0.054731 | Time: 3000.48 ms [2020-11-26 17:52:24 main:581] : INFO : Epoch 42 | loss: 0.054873 | val_loss: 0.0546909 | Time: 3142.36 ms [2020-11-26 17:52:27 main:581] : INFO : Epoch 43 | loss: 0.0548478 | val_loss: 0.0546677 | Time: 3133.56 ms [2020-11-26 17:52:31 main:581] : INFO : Epoch 44 | loss: 0.0549106 | val_loss: 0.054773 | Time: 3247.96 ms [2020-11-26 17:52:34 main:581] : INFO : Epoch 45 | loss: 0.0548906 | val_loss: 0.0546621 | Time: 3249.9 ms [2020-11-26 17:52:37 main:581] : INFO : Epoch 46 | loss: 0.0548512 | val_loss: 0.0547008 | Time: 3043.4 ms [2020-11-26 17:52:40 main:581] : INFO : Epoch 47 | loss: 0.0548441 | val_loss: 0.0545935 | Time: 3006.26 ms [2020-11-26 17:52:43 main:581] : INFO : Epoch 48 | loss: 0.054805 | val_loss: 0.054578 | Time: 3026.87 ms [2020-11-26 17:52:46 main:581] : INFO : Epoch 49 | loss: 0.0548172 | val_loss: 0.0545364 | Time: 3141.55 ms [2020-11-26 17:52:49 main:581] : INFO : Epoch 50 | loss: 0.0548091 | val_loss: 0.054537 | Time: 3036.83 ms [2020-11-26 17:52:52 main:581] : INFO : Epoch 51 | loss: 0.0547451 | val_loss: 0.0544475 | Time: 3043.68 ms [2020-11-26 17:52:55 main:581] : INFO : Epoch 52 | loss: 0.0546792 | val_loss: 0.0544732 | Time: 3035.53 ms [2020-11-26 17:52:58 main:581] : INFO : Epoch 53 | loss: 0.0546603 | val_loss: 0.0545023 | Time: 3035.4 ms [2020-11-26 17:53:01 main:581] : INFO : Epoch 54 | loss: 0.0545179 | val_loss: 0.0543191 | Time: 3140.91 ms [2020-11-26 17:53:05 main:581] : INFO : Epoch 55 | loss: 0.0544863 | val_loss: 0.0543194 | Time: 3096.22 ms [2020-11-26 17:53:08 main:581] : INFO : Epoch 56 | loss: 0.0547109 | val_loss: 0.0546588 | Time: 3272.6 ms [2020-11-26 17:53:11 main:581] : INFO : Epoch 57 | loss: 0.0547507 | val_loss: 0.0546322 | Time: 2981.7 ms [2020-11-26 17:53:14 main:581] : INFO : Epoch 58 | loss: 0.0547242 | val_loss: 0.0544991 | Time: 3151.52 ms [2020-11-26 17:53:17 main:581] : INFO : Epoch 59 | loss: 0.0546848 | val_loss: 0.0545533 | Time: 3071.74 ms [2020-11-26 17:53:20 main:581] : INFO : Epoch 60 | loss: 0.0547304 | val_loss: 0.0545465 | Time: 3087.86 ms [2020-11-26 17:53:23 main:581] : INFO : Epoch 61 | loss: 0.0547167 | val_loss: 0.0545319 | Time: 3047.42 ms [2020-11-26 17:53:26 main:581] : INFO : Epoch 62 | loss: 0.0547795 | val_loss: 0.0546695 | Time: 3007.06 ms [2020-11-26 17:53:29 main:581] : INFO : Epoch 63 | loss: 0.0548204 | val_loss: 0.0546811 | Time: 2985.17 ms [2020-11-26 17:53:32 main:581] : INFO : Epoch 64 | loss: 0.0547742 | val_loss: 0.0546658 | Time: 3063.32 ms [2020-11-26 17:53:35 main:581] : INFO : Epoch 65 | loss: 0.0547787 | val_loss: 0.0546795 | Time: 3143.28 ms [2020-11-26 17:53:38 main:581] : INFO : Epoch 66 | loss: 0.0550426 | val_loss: 0.0551324 | Time: 3049.21 ms [2020-11-26 17:53:41 main:581] : INFO : Epoch 67 | loss: 0.0554917 | val_loss: 0.0553609 | Time: 3042.78 ms [2020-11-26 17:53:44 main:581] : INFO : Epoch 68 | loss: 0.0554873 | val_loss: 0.0553246 | Time: 3011.39 ms [2020-11-26 17:53:47 main:581] : INFO : Epoch 69 | loss: 0.055453 | val_loss: 0.0553345 | Time: 3007.4 ms [2020-11-26 17:53:51 main:581] : INFO : Epoch 70 | loss: 0.0554404 | val_loss: 0.0552494 | Time: 3070.96 ms [2020-11-26 17:53:54 main:581] : INFO : Epoch 71 | loss: 0.0553796 | val_loss: 0.0552173 | Time: 3068.14 ms [2020-11-26 17:53:57 main:581] : INFO : Epoch 72 | loss: 0.0553495 | val_loss: 0.0551494 | Time: 3025.99 ms [2020-11-26 17:54:00 main:581] : INFO : Epoch 73 | loss: 0.0553046 | val_loss: 0.055112 | Time: 3216.21 ms [2020-11-26 17:54:03 main:581] : INFO : Epoch 74 | loss: 0.0552841 | val_loss: 0.0551036 | Time: 3277.32 ms [2020-11-26 17:54:06 main:581] : INFO : Epoch 75 | loss: 0.0552277 | val_loss: 0.0550035 | Time: 3102.77 ms [2020-11-26 17:54:09 main:581] : INFO : Epoch 76 | loss: 0.0551821 | val_loss: 0.0550069 | Time: 3261.65 ms [2020-11-26 17:54:13 main:581] : INFO : Epoch 77 | loss: 0.0551578 | val_loss: 0.0550631 | Time: 3220.66 ms [2020-11-26 17:54:16 main:581] : INFO : Epoch 78 | loss: 0.0551405 | val_loss: 0.0550059 | Time: 3181.73 ms [2020-11-26 17:54:19 main:581] : INFO : Epoch 79 | loss: 0.0550658 | val_loss: 0.0549693 | Time: 3268.99 ms [2020-11-26 17:54:22 main:581] : INFO : Epoch 80 | loss: 0.0550161 | val_loss: 0.0548331 | Time: 2995.37 ms [2020-11-26 17:54:25 main:581] : INFO : Epoch 81 | loss: 0.0549159 | val_loss: 0.0547352 | Time: 3023.95 ms [2020-11-26 17:54:28 main:581] : INFO : Epoch 82 | loss: 0.0549032 | val_loss: 0.0547821 | Time: 3137.61 ms [2020-11-26 17:54:31 main:581] : INFO : Epoch 83 | loss: 0.0550813 | val_loss: 0.0550947 | Time: 3161.69 ms [2020-11-26 17:54:35 main:581] : INFO : Epoch 84 | loss: 0.0551769 | val_loss: 0.0550775 | Time: 3118.21 ms [2020-11-26 17:54:38 main:581] : INFO : Epoch 85 | loss: 0.055706 | val_loss: 0.0556413 | Time: 3080.64 ms [2020-11-26 17:54:41 main:581] : INFO : Epoch 86 | loss: 0.0555508 | val_loss: 0.0554843 | Time: 3162.09 ms [2020-11-26 17:54:44 main:581] : INFO : Epoch 87 | loss: 0.0555122 | val_loss: 0.0555378 | Time: 3155.38 ms [2020-11-26 17:54:47 main:581] : INFO : Epoch 88 | loss: 0.0555057 | val_loss: 0.0554698 | Time: 3127.86 ms [2020-11-26 17:54:50 main:581] : INFO : Epoch 89 | loss: 0.0554943 | val_loss: 0.0555568 | Time: 3097.92 ms [2020-11-26 17:54:53 main:581] : INFO : Epoch 90 | loss: 0.0555328 | val_loss: 0.0555696 | Time: 3131.91 ms [2020-11-26 17:54:56 main:581] : INFO : Epoch 91 | loss: 0.0555644 | val_loss: 0.0555996 | Time: 3026.03 ms [2020-11-26 17:54:59 main:581] : INFO : Epoch 92 | loss: 0.0556053 | val_loss: 0.0556116 | Time: 3109.05 ms [2020-11-26 17:55:03 main:581] : INFO : Epoch 93 | loss: 0.0556015 | val_loss: 0.0555549 | Time: 3057.15 ms [2020-11-26 17:55:06 main:581] : INFO : Epoch 94 | loss: 0.0555654 | val_loss: 0.0555669 | Time: 3083.14 ms [2020-11-26 17:55:09 main:581] : INFO : Epoch 95 | loss: 0.0555048 | val_loss: 0.0554919 | Time: 3074.5 ms [2020-11-26 17:55:12 main:581] : INFO : Epoch 96 | loss: 0.055464 | val_loss: 0.0554278 | Time: 3105.92 ms [2020-11-26 17:55:15 main:581] : INFO : Epoch 97 | loss: 0.0555284 | val_loss: 0.0557034 | Time: 3029.89 ms [2020-11-26 17:55:18 main:581] : INFO : Epoch 98 | loss: 0.0556125 | val_loss: 0.0556607 | Time: 3162.05 ms [2020-11-26 17:55:21 main:581] : INFO : Epoch 99 | loss: 0.055571 | val_loss: 0.0556612 | Time: 3051.29 ms [2020-11-26 17:55:24 main:581] : INFO : Epoch 100 | loss: 0.0556125 | val_loss: 0.0555829 | Time: 3068.89 ms [2020-11-26 17:55:27 main:581] : INFO : Epoch 101 | loss: 0.0555451 | val_loss: 0.0555536 | Time: 3055.11 ms [2020-11-26 17:55:30 main:581] : INFO : Epoch 102 | loss: 0.0554779 | val_loss: 0.0553684 | Time: 3222.62 ms [2020-11-26 17:55:33 main:581] : INFO : Epoch 103 | loss: 0.0554128 | val_loss: 0.0553777 | Time: 3089.01 ms [2020-11-26 17:55:37 main:581] : INFO : Epoch 104 | loss: 0.0553625 | val_loss: 0.0551987 | Time: 3150.32 ms [2020-11-26 17:55:40 main:581] : INFO : Epoch 105 | loss: 0.0553112 | val_loss: 0.0551772 | Time: 3106.59 ms [2020-11-26 17:55:43 main:581] : INFO : Epoch 106 | loss: 0.0552558 | val_loss: 0.0551813 | Time: 2999.27 ms [2020-11-26 17:55:46 main:581] : INFO : Epoch 107 | loss: 0.0551451 | val_loss: 0.05505 | Time: 3191.33 ms [2020-11-26 17:55:49 main:581] : INFO : Epoch 108 | loss: 0.0552407 | val_loss: 0.0552666 | Time: 3137.21 ms [2020-11-26 17:55:52 main:581] : INFO : Epoch 109 | loss: 0.0554639 | val_loss: 0.0554604 | Time: 3073.93 ms [2020-11-26 17:55:55 main:581] : INFO : Epoch 110 | loss: 0.0555069 | val_loss: 0.0553749 | Time: 3130.33 ms [2020-11-26 17:55:58 main:581] : INFO : Epoch 111 | loss: 0.0557228 | val_loss: 0.0560121 | Time: 3067.03 ms [2020-11-26 17:56:01 main:581] : INFO : Epoch 112 | loss: 0.0561307 | val_loss: 0.0562957 | Time: 3066.5 ms [2020-11-26 17:56:04 main:581] : INFO : Epoch 113 | loss: 0.0562014 | val_loss: 0.0562763 | Time: 3059.63 ms [2020-11-26 17:56:07 main:581] : INFO : Epoch 114 | loss: 0.0561201 | val_loss: 0.055987 | Time: 3013.47 ms [2020-11-26 17:56:11 main:581] : INFO : Epoch 115 | loss: 0.055962 | val_loss: 0.0559009 | Time: 3142.69 ms [2020-11-26 17:56:14 main:581] : INFO : Epoch 116 | loss: 0.0558997 | val_loss: 0.0558193 | Time: 3116.76 ms [2020-11-26 17:56:17 main:581] : INFO : Epoch 117 | loss: 0.055868 | val_loss: 0.0558419 | Time: 3057.08 ms [2020-11-26 17:56:20 main:581] : INFO : Epoch 118 | loss: 0.0558657 | val_loss: 0.0557987 | Time: 3086.86 ms [2020-11-26 17:56:23 main:581] : INFO : Epoch 119 | loss: 0.0558805 | val_loss: 0.0558705 | Time: 3049.98 ms [2020-11-26 17:56:26 main:581] : INFO : Epoch 120 | loss: 0.0559037 | val_loss: 0.055902 | Time: 3112.82 ms [2020-11-26 17:56:29 main:581] : INFO : Epoch 121 | loss: 0.0559238 | val_loss: 0.055871 | Time: 3063.04 ms [2020-11-26 17:56:32 main:581] : INFO : Epoch 122 | loss: 0.0559804 | val_loss: 0.0559884 | Time: 3062.25 ms [2020-11-26 17:56:35 main:581] : INFO : Epoch 123 | loss: 0.0560697 | val_loss: 0.0560082 | Time: 3052.08 ms [2020-11-26 17:56:38 main:581] : INFO : Epoch 124 | loss: 0.0560368 | val_loss: 0.0559635 | Time: 3029.45 ms [2020-11-26 17:56:41 main:581] : INFO : Epoch 125 | loss: 0.0562946 | val_loss: 0.0563176 | Time: 3149.77 ms [2020-11-26 17:56:44 main:581] : INFO : Epoch 126 | loss: 0.0563347 | val_loss: 0.0562969 | Time: 3064.47 ms [2020-11-26 17:56:48 main:581] : INFO : Epoch 127 | loss: 0.0562993 | val_loss: 0.056269 | Time: 3090.47 ms [2020-11-26 17:56:51 main:581] : INFO : Epoch 128 | loss: 0.0563427 | val_loss: 0.056333 | Time: 3114.78 ms [2020-11-26 17:56:54 main:581] : INFO : Epoch 129 | loss: 0.0563212 | val_loss: 0.056275 | Time: 3105.29 ms [2020-11-26 17:56:57 main:581] : INFO : Epoch 130 | loss: 0.0562971 | val_loss: 0.056263 | Time: 3092.18 ms [2020-11-26 17:57:00 main:581] : INFO : Epoch 131 | loss: 0.056304 | val_loss: 0.0562517 | Time: 3122.23 ms [2020-11-26 17:57:03 main:581] : INFO : Epoch 132 | loss: 0.0563021 | val_loss: 0.0562534 | Time: 3253.23 ms [2020-11-26 17:57:06 main:581] : INFO : Epoch 133 | loss: 0.0563166 | val_loss: 0.0562919 | Time: 3011.28 ms [2020-11-26 17:57:09 main:581] : INFO : Epoch 134 | loss: 0.0563283 | val_loss: 0.0562771 | Time: 3160.01 ms [2020-11-26 17:57:13 main:581] : INFO : Epoch 135 | loss: 0.0563018 | val_loss: 0.0562443 | Time: 3348.14 ms [2020-11-26 17:57:16 main:581] : INFO : Epoch 136 | loss: 0.056319 | val_loss: 0.0563298 | Time: 3035.69 ms [2020-11-26 17:57:19 main:581] : INFO : Epoch 137 | loss: 0.0563454 | val_loss: 0.0563161 | Time: 3002.7 ms [2020-11-26 17:57:22 main:581] : INFO : Epoch 138 | loss: 0.0563219 | val_loss: 0.0562421 | Time: 2979.05 ms [2020-11-26 17:57:25 main:581] : INFO : Epoch 139 | loss: 0.0562701 | val_loss: 0.0562245 | Time: 3042.6 ms [2020-11-26 17:57:28 main:581] : INFO : Epoch 140 | loss: 0.0562404 | val_loss: 0.0561987 | Time: 2997.93 ms [2020-11-26 17:57:31 main:581] : INFO : Epoch 141 | loss: 0.0563777 | val_loss: 0.0566406 | Time: 3029.02 ms [2020-11-26 17:57:34 main:581] : INFO : Epoch 142 | loss: 0.0565784 | val_loss: 0.0566243 | Time: 3040.59 ms [2020-11-26 17:57:37 main:581] : INFO : Epoch 143 | loss: 0.0566449 | val_loss: 0.0567392 | Time: 3081.85 ms [2020-11-26 17:57:40 main:581] : INFO : Epoch 144 | loss: 0.0567175 | val_loss: 0.0567525 | Time: 3026.77 ms [2020-11-26 17:57:43 main:581] : INFO : Epoch 145 | loss: 0.0567123 | val_loss: 0.0567356 | Time: 3120.22 ms [2020-11-26 17:57:46 main:581] : INFO : Epoch 146 | loss: 0.0567151 | val_loss: 0.0566595 | Time: 3086.4 ms [2020-11-26 17:57:49 main:581] : INFO : Epoch 147 | loss: 0.0567004 | val_loss: 0.0566629 | Time: 3040.39 ms [2020-11-26 17:57:52 main:581] : INFO : Epoch 148 | loss: 0.0566836 | val_loss: 0.0566741 | Time: 3010.67 ms [2020-11-26 17:57:55 main:581] : INFO : Epoch 149 | loss: 0.0566792 | val_loss: 0.0566692 | Time: 3105.66 ms [2020-11-26 17:57:58 main:581] : INFO : Epoch 150 | loss: 0.0566779 | val_loss: 0.0566731 | Time: 3036.14 ms [2020-11-26 17:58:02 main:581] : INFO : Epoch 151 | loss: 0.0566656 | val_loss: 0.0566574 | Time: 3198.28 ms [2020-11-26 17:58:05 main:581] : INFO : Epoch 152 | loss: 0.0566546 | val_loss: 0.0566466 | Time: 3012.18 ms [2020-11-26 17:58:08 main:581] : INFO : Epoch 153 | loss: 0.056678 | val_loss: 0.0566525 | Time: 3051.62 ms [2020-11-26 17:58:11 main:581] : INFO : Epoch 154 | loss: 0.0566765 | val_loss: 0.056658 | Time: 3047.7 ms [2020-11-26 17:58:14 main:581] : INFO : Epoch 155 | loss: 0.0566558 | val_loss: 0.0566316 | Time: 3001.22 ms [2020-11-26 17:58:17 main:581] : INFO : Epoch 156 | loss: 0.0566411 | val_loss: 0.0566369 | Time: 3001.43 ms [2020-11-26 17:58:20 main:581] : INFO : Epoch 157 | loss: 0.0566223 | val_loss: 0.056619 | Time: 3005.61 ms [2020-11-26 17:58:23 main:581] : INFO : Epoch 158 | loss: 0.0566066 | val_loss: 0.0566937 | Time: 2999.47 ms [2020-11-26 17:58:26 main:581] : INFO : Epoch 159 | loss: 0.0567117 | val_loss: 0.0567054 | Time: 3011.28 ms [2020-11-26 17:58:29 main:581] : INFO : Epoch 160 | loss: 0.0566594 | val_loss: 0.0566666 | Time: 3129.64 ms [2020-11-26 17:58:32 main:581] : INFO : Epoch 161 | loss: 0.0566548 | val_loss: 0.0566639 | Time: 2992.87 ms [2020-11-26 17:58:35 main:581] : INFO : Epoch 162 | loss: 0.0566392 | val_loss: 0.0566416 | Time: 3090.17 ms [2020-11-26 17:58:38 main:581] : INFO : Epoch 163 | loss: 0.0566551 | val_loss: 0.0566808 | Time: 3229.22 ms [2020-11-26 17:58:41 main:581] : INFO : Epoch 164 | loss: 0.0566509 | val_loss: 0.0566617 | Time: 3157.94 ms [2020-11-26 17:58:44 main:581] : INFO : Epoch 165 | loss: 0.0566552 | val_loss: 0.0566307 | Time: 3000.15 ms [2020-11-26 17:58:47 main:581] : INFO : Epoch 166 | loss: 0.0566323 | val_loss: 0.0566047 | Time: 3040.57 ms [2020-11-26 17:58:51 main:581] : INFO : Epoch 167 | loss: 0.0565955 | val_loss: 0.0566004 | Time: 3112.9 ms [2020-11-26 17:58:54 main:581] : INFO : Epoch 168 | loss: 0.0565698 | val_loss: 0.0565347 | Time: 3038.82 ms [2020-11-26 17:58:57 main:581] : INFO : Epoch 169 | loss: 0.0565202 | val_loss: 0.0564963 | Time: 3202.18 ms [2020-11-26 17:59:00 main:581] : INFO : Epoch 170 | loss: 0.0564976 | val_loss: 0.0565222 | Time: 3168.79 ms [2020-11-26 17:59:03 main:581] : INFO : Epoch 171 | loss: 0.0565892 | val_loss: 0.0566769 | Time: 3065.86 ms [2020-11-26 17:59:06 main:581] : INFO : Epoch 172 | loss: 0.0566337 | val_loss: 0.0566527 | Time: 3048.64 ms [2020-11-26 17:59:09 main:581] : INFO : Epoch 173 | loss: 0.0566392 | val_loss: 0.0566084 | Time: 3093.12 ms [2020-11-26 17:59:12 main:581] : INFO : Epoch 174 | loss: 0.0566322 | val_loss: 0.0566159 | Time: 3141.85 ms [2020-11-26 17:59:15 main:581] : INFO : Epoch 175 | loss: 0.0565957 | val_loss: 0.0565676 | Time: 3148.77 ms [2020-11-26 17:59:19 main:581] : INFO : Epoch 176 | loss: 0.0565609 | val_loss: 0.0565414 | Time: 3133.18 ms [2020-11-26 17:59:22 main:581] : INFO : Epoch 177 | loss: 0.0565633 | val_loss: 0.0565917 | Time: 3058.15 ms [2020-11-26 17:59:25 main:581] : INFO : Epoch 178 | loss: 0.0566458 | val_loss: 0.0566769 | Time: 3071.75 ms [2020-11-26 17:59:28 main:581] : INFO : Epoch 179 | loss: 0.0567043 | val_loss: 0.0567077 | Time: 3001.46 ms [2020-11-26 17:59:31 main:581] : INFO : Epoch 180 | loss: 0.0566759 | val_loss: 0.0566781 | Time: 2993.75 ms [2020-11-26 17:59:34 main:581] : INFO : Epoch 181 | loss: 0.0566473 | val_loss: 0.0566516 | Time: 3147.99 ms [2020-11-26 17:59:37 main:581] : INFO : Epoch 182 | loss: 0.0566077 | val_loss: 0.0566187 | Time: 3161.25 ms [2020-11-26 17:59:40 main:581] : INFO : Epoch 183 | loss: 0.056602 | val_loss: 0.0565469 | Time: 3079.98 ms [2020-11-26 17:59:43 main:581] : INFO : Epoch 184 | loss: 0.0565481 | val_loss: 0.0565079 | Time: 3042.83 ms [2020-11-26 17:59:46 main:581] : INFO : Epoch 185 | loss: 0.0565223 | val_loss: 0.0564928 | Time: 3089.85 ms [2020-11-26 17:59:49 main:581] : INFO : Epoch 186 | loss: 0.0564851 | val_loss: 0.0564725 | Time: 3227.69 ms [2020-11-26 17:59:52 main:581] : INFO : Epoch 187 | loss: 0.0564626 | val_loss: 0.0564086 | Time: 3000.82 ms [2020-11-26 17:59:55 main:581] : INFO : Epoch 188 | loss: 0.0564418 | val_loss: 0.0564639 | Time: 3013.58 ms [2020-11-26 17:59:59 main:581] : INFO : Epoch 189 | loss: 0.0565053 | val_loss: 0.0565496 | Time: 3164.84 ms [2020-11-26 18:00:02 main:581] : INFO : Epoch 190 | loss: 0.056632 | val_loss: 0.0565833 | Time: 3008.09 ms [2020-11-26 18:00:05 main:581] : INFO : Epoch 191 | loss: 0.0566237 | val_loss: 0.05658 | Time: 3189.92 ms [2020-11-26 18:00:08 main:581] : INFO : Epoch 192 | loss: 0.0566002 | val_loss: 0.0565913 | Time: 3172.71 ms [2020-11-26 18:00:08 main:604] : INFO : Saving trained model to model-final.pt, val_loss 0.0565913 [2020-11-26 18:00:08 main:610] : INFO : Saving end state to config to file [2020-11-26 18:00:08 main:615] : INFO : Success, exiting.. 18:00:08 (15538): 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)