Task 3075290
| Name | rand_automata_0025-1606117988-22454-94_0 |
| Workunit | 1403496 |
| Created | 26 Nov 2020, 21:37:19 UTC |
| Sent | 26 Nov 2020, 21:47:14 UTC |
| Report deadline | 3 Dec 2020, 21:47:14 UTC |
| Received | 26 Nov 2020, 21:57:43 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 4754 |
| Run time | 9 min 59 sec |
| CPU time | 9 min 55 sec |
| Validate state | Valid |
| Credit | 959.40 |
| Device peak FLOPS | 3,339.24 GFLOPS |
| Application version | Machine Learning Dataset Generator (test) v9.80 (cuda10200) x86_64-pc-linux-gnu |
| Peak working set size | 2.18 GB |
| Peak swap size | 9.98 GB |
| Peak disk usage | 2.98 GB |
Stderr output
<core_client_version>7.14.2</core_client_version> <![CDATA[ <stderr_txt> DEBUG: Args: ../../projects/www.mlcathome.org_mlcathome/mlds-gpu_9.80_x86_64-pc-linux-gnu__cuda10200 -c -a LSTM --lr 0.001 -w 64 -b 2 -s 32 --maxepoch 192 nthreads: 1 gpudev: 0 Re-exec()-ing to set environment correctly Machine Learning Dataset Generator v9.80 (Linux/x86_64) (libTorch: release/1.7 GPU: GeForce GTX 1650) [2020-11-26 16:47:30 main:442] : INFO : Set logging level to 1 [2020-11-26 16:47:30 main:448] : INFO : Running in BOINC Client mode [2020-11-26 16:47:30 main:451] : INFO : Resolving all filenames [2020-11-26 16:47:30 main:459] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-train-val-dataset.hdf5 (exists = 1) [2020-11-26 16:47:30 main:459] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-1606117988-22454-94_0_r901461191_1 (exists = 0) [2020-11-26 16:47:30 main:459] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-1606117988-22454-94_0_r901461191_0 (exists = 0) [2020-11-26 16:47:30 main:459] : INFO : Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-1606117988-22454-94 (exists = 1) [2020-11-26 16:47:30 main:459] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-26 16:47:30 main:479] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-train-val-dataset.hdf5 [2020-11-26 16:47:30 main:481] : INFO : Configuration: [2020-11-26 16:47:30 main:482] : INFO : Model type: LSTM [2020-11-26 16:47:30 main:483] : INFO : Validation Loss Threshold: 0.0001 [2020-11-26 16:47:30 main:484] : INFO : Max Epochs: 192 [2020-11-26 16:47:30 main:485] : INFO : Batch Size: 32 [2020-11-26 16:47:30 main:486] : INFO : Learning Rate: 0.001 [2020-11-26 16:47:30 main:487] : INFO : Patience: 10 [2020-11-26 16:47:30 main:488] : INFO : Hidden Width: 64 [2020-11-26 16:47:30 main:489] : INFO : # Recurrent Layers: 4 [2020-11-26 16:47:30 main:490] : INFO : # Backend Layers: 2 [2020-11-26 16:47:30 main:491] : INFO : # Threads: 1 [2020-11-26 16:47:30 main:493] : INFO : Preparing Dataset [2020-11-26 16:47:30 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 16:47:31 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 16:47:33 load:106] : INFO : Successfully loaded dataset of 4096 examples into memory. [2020-11-26 16:47:33 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 16:47:33 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 16:47:33 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-26 16:47:33 main:501] : INFO : Creating Model [2020-11-26 16:47:33 main:514] : INFO : Preparing config file [2020-11-26 16:47:33 main:526] : INFO : Creating new config file [2020-11-26 16:47:33 main:545] : INFO : This is a continuation WU, loading previous network [2020-11-26 16:47:33 main:566] : INFO : Loading DataLoader into Memory [2020-11-26 16:47:33 main:569] : INFO : Starting Training [2020-11-26 16:47:37 main:581] : INFO : Epoch 1 | loss: 0.0583206 | val_loss: 0.0582822 | Time: 3584.32 ms [2020-11-26 16:47:40 main:581] : INFO : Epoch 2 | loss: 0.0581744 | val_loss: 0.0580975 | Time: 3130.96 ms [2020-11-26 16:47:43 main:581] : INFO : Epoch 3 | loss: 0.0583241 | val_loss: 0.0587007 | Time: 3229.6 ms [2020-11-26 16:47:46 main:581] : INFO : Epoch 4 | loss: 0.0588089 | val_loss: 0.0587915 | Time: 3062.26 ms [2020-11-26 16:47:49 main:581] : INFO : Epoch 5 | loss: 0.0588057 | val_loss: 0.0588371 | Time: 3115.71 ms [2020-11-26 16:47:52 main:581] : INFO : Epoch 6 | loss: 0.0587693 | val_loss: 0.0585982 | Time: 3172.77 ms [2020-11-26 16:47:55 main:581] : INFO : Epoch 7 | loss: 0.0586104 | val_loss: 0.0584959 | Time: 3011.46 ms [2020-11-26 16:47:59 main:581] : INFO : Epoch 8 | loss: 0.0584936 | val_loss: 0.0584232 | Time: 3416.38 ms [2020-11-26 16:48:02 main:581] : INFO : Epoch 9 | loss: 0.0585356 | val_loss: 0.0585127 | Time: 3109.05 ms [2020-11-26 16:48:05 main:581] : INFO : Epoch 10 | loss: 0.0585839 | val_loss: 0.0585606 | Time: 3101.87 ms [2020-11-26 16:48:08 main:581] : INFO : Epoch 11 | loss: 0.0588008 | val_loss: 0.0588122 | Time: 2983.36 ms [2020-11-26 16:48:11 main:581] : INFO : Epoch 12 | loss: 0.058856 | val_loss: 0.0588848 | Time: 3018 ms [2020-11-26 16:48:14 main:581] : INFO : Epoch 13 | loss: 0.0590306 | val_loss: 0.0591283 | Time: 3150.15 ms [2020-11-26 16:48:17 main:581] : INFO : Epoch 14 | loss: 0.0591461 | val_loss: 0.0591748 | Time: 3151.33 ms [2020-11-26 16:48:20 main:581] : INFO : Epoch 15 | loss: 0.0591445 | val_loss: 0.0591544 | Time: 3181.18 ms [2020-11-26 16:48:24 main:581] : INFO : Epoch 16 | loss: 0.0591335 | val_loss: 0.0591816 | Time: 3072.49 ms [2020-11-26 16:48:27 main:581] : INFO : Epoch 17 | loss: 0.0591577 | val_loss: 0.0591496 | Time: 3110.13 ms [2020-11-26 16:48:30 main:581] : INFO : Epoch 18 | loss: 0.0591407 | val_loss: 0.0591627 | Time: 3189.41 ms [2020-11-26 16:48:33 main:581] : INFO : Epoch 19 | loss: 0.0591322 | val_loss: 0.0591355 | Time: 3008.55 ms [2020-11-26 16:48:36 main:581] : INFO : Epoch 20 | loss: 0.0591232 | val_loss: 0.0591155 | Time: 3079.5 ms [2020-11-26 16:48:39 main:581] : INFO : Epoch 21 | loss: 0.0591632 | val_loss: 0.0592523 | Time: 3118.01 ms [2020-11-26 16:48:42 main:581] : INFO : Epoch 22 | loss: 0.0591866 | val_loss: 0.0591767 | Time: 3119.09 ms [2020-11-26 16:48:45 main:581] : INFO : Epoch 23 | loss: 0.0592191 | val_loss: 0.0593076 | Time: 3056.88 ms [2020-11-26 16:48:48 main:581] : INFO : Epoch 24 | loss: 0.0593823 | val_loss: 0.059459 | Time: 3210.2 ms [2020-11-26 16:48:52 main:581] : INFO : Epoch 25 | loss: 0.0594236 | val_loss: 0.0594552 | Time: 3157.6 ms [2020-11-26 16:48:55 main:581] : INFO : Epoch 26 | loss: 0.0594521 | val_loss: 0.0594867 | Time: 3255.67 ms [2020-11-26 16:48:58 main:581] : INFO : Epoch 27 | loss: 0.0594399 | val_loss: 0.0594725 | Time: 3050.17 ms [2020-11-26 16:49:01 main:581] : INFO : Epoch 28 | loss: 0.0594221 | val_loss: 0.0594691 | Time: 3108.41 ms [2020-11-26 16:49:04 main:581] : INFO : Epoch 29 | loss: 0.059402 | val_loss: 0.0594418 | Time: 3094.02 ms [2020-11-26 16:49:07 main:581] : INFO : Epoch 30 | loss: 0.0596478 | val_loss: 0.0598166 | Time: 3050.87 ms [2020-11-26 16:49:10 main:581] : INFO : Epoch 31 | loss: 0.0597627 | val_loss: 0.0597817 | Time: 3026.57 ms [2020-11-26 16:49:13 main:581] : INFO : Epoch 32 | loss: 0.0597513 | val_loss: 0.0597723 | Time: 3009.96 ms [2020-11-26 16:49:16 main:581] : INFO : Epoch 33 | loss: 0.0597463 | val_loss: 0.0597769 | Time: 3078.78 ms [2020-11-26 16:49:19 main:581] : INFO : Epoch 34 | loss: 0.0597752 | val_loss: 0.0597676 | Time: 3146.3 ms [2020-11-26 16:49:23 main:581] : INFO : Epoch 35 | loss: 0.0597328 | val_loss: 0.0597096 | Time: 3076.61 ms [2020-11-26 16:49:26 main:581] : INFO : Epoch 36 | loss: 0.0597039 | val_loss: 0.0597102 | Time: 3031.8 ms [2020-11-26 16:49:29 main:581] : INFO : Epoch 37 | loss: 0.0596982 | val_loss: 0.0597014 | Time: 3027.22 ms [2020-11-26 16:49:32 main:581] : INFO : Epoch 38 | loss: 0.059688 | val_loss: 0.0596983 | Time: 3028.42 ms [2020-11-26 16:49:35 main:581] : INFO : Epoch 39 | loss: 0.0596876 | val_loss: 0.0596998 | Time: 3059.49 ms [2020-11-26 16:49:38 main:581] : INFO : Epoch 40 | loss: 0.059682 | val_loss: 0.059701 | Time: 3056.24 ms [2020-11-26 16:49:41 main:581] : INFO : Epoch 41 | loss: 0.059674 | val_loss: 0.0596952 | Time: 3018.24 ms [2020-11-26 16:49:44 main:581] : INFO : Epoch 42 | loss: 0.0596595 | val_loss: 0.0596869 | Time: 3054.5 ms [2020-11-26 16:49:47 main:581] : INFO : Epoch 43 | loss: 0.059659 | val_loss: 0.0596779 | Time: 3163.86 ms [2020-11-26 16:49:50 main:581] : INFO : Epoch 44 | loss: 0.059665 | val_loss: 0.0596788 | Time: 3043.42 ms [2020-11-26 16:49:53 main:581] : INFO : Epoch 45 | loss: 0.0596593 | val_loss: 0.059662 | Time: 3386.27 ms [2020-11-26 16:49:56 main:581] : INFO : Epoch 46 | loss: 0.0596524 | val_loss: 0.0596553 | Time: 3070.51 ms [2020-11-26 16:49:59 main:581] : INFO : Epoch 47 | loss: 0.0596429 | val_loss: 0.0596519 | Time: 2988.04 ms [2020-11-26 16:50:03 main:581] : INFO : Epoch 48 | loss: 0.0596366 | val_loss: 0.059649 | Time: 3156.44 ms [2020-11-26 16:50:06 main:581] : INFO : Epoch 49 | loss: 0.0596314 | val_loss: 0.0596395 | Time: 3142.42 ms [2020-11-26 16:50:09 main:581] : INFO : Epoch 50 | loss: 0.0596218 | val_loss: 0.059633 | Time: 3054 ms [2020-11-26 16:50:12 main:581] : INFO : Epoch 51 | loss: 0.0596035 | val_loss: 0.059616 | Time: 3052.64 ms [2020-11-26 16:50:15 main:581] : INFO : Epoch 52 | loss: 0.0595962 | val_loss: 0.0596026 | Time: 3022.56 ms [2020-11-26 16:50:18 main:581] : INFO : Epoch 53 | loss: 0.0595844 | val_loss: 0.0595965 | Time: 3120.76 ms [2020-11-26 16:50:21 main:581] : INFO : Epoch 54 | loss: 0.0595782 | val_loss: 0.059586 | Time: 3059.12 ms [2020-11-26 16:50:24 main:581] : INFO : Epoch 55 | loss: 0.0595631 | val_loss: 0.05958 | Time: 3034.64 ms [2020-11-26 16:50:27 main:581] : INFO : Epoch 56 | loss: 0.0595518 | val_loss: 0.0595693 | Time: 3094.09 ms [2020-11-26 16:50:30 main:581] : INFO : Epoch 57 | loss: 0.0595421 | val_loss: 0.0595675 | Time: 3037.23 ms [2020-11-26 16:50:33 main:581] : INFO : Epoch 58 | loss: 0.0595273 | val_loss: 0.0595528 | Time: 3067.62 ms [2020-11-26 16:50:36 main:581] : INFO : Epoch 59 | loss: 0.0595202 | val_loss: 0.0595328 | Time: 3083.46 ms [2020-11-26 16:50:39 main:581] : INFO : Epoch 60 | loss: 0.0595022 | val_loss: 0.0595264 | Time: 3037.9 ms [2020-11-26 16:50:42 main:581] : INFO : Epoch 61 | loss: 0.0594887 | val_loss: 0.0595228 | Time: 3036.76 ms [2020-11-26 16:50:46 main:581] : INFO : Epoch 62 | loss: 0.0594657 | val_loss: 0.0595146 | Time: 3072.37 ms [2020-11-26 16:50:49 main:581] : INFO : Epoch 63 | loss: 0.0594459 | val_loss: 0.0594999 | Time: 3135.23 ms [2020-11-26 16:50:52 main:581] : INFO : Epoch 64 | loss: 0.0594448 | val_loss: 0.0594607 | Time: 3070.54 ms [2020-11-26 16:50:55 main:581] : INFO : Epoch 65 | loss: 0.059421 | val_loss: 0.0594544 | Time: 3126.46 ms [2020-11-26 16:50:58 main:581] : INFO : Epoch 66 | loss: 0.0593962 | val_loss: 0.0594604 | Time: 3037.81 ms [2020-11-26 16:51:01 main:581] : INFO : Epoch 67 | loss: 0.0593785 | val_loss: 0.0594181 | Time: 3059.81 ms [2020-11-26 16:51:04 main:581] : INFO : Epoch 68 | loss: 0.059372 | val_loss: 0.0594424 | Time: 3117.08 ms [2020-11-26 16:51:07 main:581] : INFO : Epoch 69 | loss: 0.0593413 | val_loss: 0.0593802 | Time: 3027 ms [2020-11-26 16:51:10 main:581] : INFO : Epoch 70 | loss: 0.0593118 | val_loss: 0.0593567 | Time: 3082.98 ms [2020-11-26 16:51:13 main:581] : INFO : Epoch 71 | loss: 0.0592819 | val_loss: 0.0593235 | Time: 3081.24 ms [2020-11-26 16:51:16 main:581] : INFO : Epoch 72 | loss: 0.0592483 | val_loss: 0.0592917 | Time: 3092.99 ms [2020-11-26 16:51:19 main:581] : INFO : Epoch 73 | loss: 0.0592154 | val_loss: 0.0592581 | Time: 3117.14 ms [2020-11-26 16:51:23 main:581] : INFO : Epoch 74 | loss: 0.0591577 | val_loss: 0.059213 | Time: 3131.7 ms [2020-11-26 16:51:26 main:581] : INFO : Epoch 75 | loss: 0.0591195 | val_loss: 0.0591796 | Time: 3157.09 ms [2020-11-26 16:51:29 main:581] : INFO : Epoch 76 | loss: 0.0590281 | val_loss: 0.0589785 | Time: 3165.67 ms [2020-11-26 16:51:32 main:581] : INFO : Epoch 77 | loss: 0.0589097 | val_loss: 0.05896 | Time: 3101.75 ms [2020-11-26 16:51:35 main:581] : INFO : Epoch 78 | loss: 0.058943 | val_loss: 0.0590254 | Time: 3031.24 ms [2020-11-26 16:51:38 main:581] : INFO : Epoch 79 | loss: 0.0589501 | val_loss: 0.058972 | Time: 3008.51 ms [2020-11-26 16:51:41 main:581] : INFO : Epoch 80 | loss: 0.0589112 | val_loss: 0.0589418 | Time: 3006.07 ms [2020-11-26 16:51:44 main:581] : INFO : Epoch 81 | loss: 0.0588625 | val_loss: 0.0588921 | Time: 3214.28 ms [2020-11-26 16:51:47 main:581] : INFO : Epoch 82 | loss: 0.0588143 | val_loss: 0.0588338 | Time: 3045.51 ms [2020-11-26 16:51:50 main:581] : INFO : Epoch 83 | loss: 0.058832 | val_loss: 0.0589564 | Time: 3081.02 ms [2020-11-26 16:51:53 main:581] : INFO : Epoch 84 | loss: 0.0588964 | val_loss: 0.0589368 | Time: 3063.99 ms [2020-11-26 16:51:57 main:581] : INFO : Epoch 85 | loss: 0.0588479 | val_loss: 0.0589135 | Time: 3104.33 ms [2020-11-26 16:52:00 main:581] : INFO : Epoch 86 | loss: 0.0588394 | val_loss: 0.0588516 | Time: 3098.16 ms [2020-11-26 16:52:03 main:581] : INFO : Epoch 87 | loss: 0.0587951 | val_loss: 0.0588183 | Time: 3011.3 ms [2020-11-26 16:52:06 main:581] : INFO : Epoch 88 | loss: 0.0587253 | val_loss: 0.058738 | Time: 3158.64 ms [2020-11-26 16:52:09 main:581] : INFO : Epoch 89 | loss: 0.0586725 | val_loss: 0.0587064 | Time: 3066.72 ms [2020-11-26 16:52:12 main:581] : INFO : Epoch 90 | loss: 0.0586239 | val_loss: 0.0586539 | Time: 3145.03 ms [2020-11-26 16:52:15 main:581] : INFO : Epoch 91 | loss: 0.0586311 | val_loss: 0.0588044 | Time: 3257.75 ms [2020-11-26 16:52:18 main:581] : INFO : Epoch 92 | loss: 0.0587483 | val_loss: 0.0587465 | Time: 3054.72 ms [2020-11-26 16:52:22 main:581] : INFO : Epoch 93 | loss: 0.0587027 | val_loss: 0.0586899 | Time: 3164.36 ms [2020-11-26 16:52:25 main:581] : INFO : Epoch 94 | loss: 0.0586658 | val_loss: 0.0586712 | Time: 3245.05 ms [2020-11-26 16:52:28 main:581] : INFO : Epoch 95 | loss: 0.0586231 | val_loss: 0.0586019 | Time: 3057.23 ms [2020-11-26 16:52:31 main:581] : INFO : Epoch 96 | loss: 0.0585457 | val_loss: 0.0585131 | Time: 3044.75 ms [2020-11-26 16:52:34 main:581] : INFO : Epoch 97 | loss: 0.0584545 | val_loss: 0.0584593 | Time: 3050.87 ms [2020-11-26 16:52:37 main:581] : INFO : Epoch 98 | loss: 0.0587226 | val_loss: 0.0589471 | Time: 3066.94 ms [2020-11-26 16:52:40 main:581] : INFO : Epoch 99 | loss: 0.0589793 | val_loss: 0.0589131 | Time: 3020.59 ms [2020-11-26 16:52:43 main:581] : INFO : Epoch 100 | loss: 0.0589288 | val_loss: 0.058885 | Time: 3057.32 ms [2020-11-26 16:52:46 main:581] : INFO : Epoch 101 | loss: 0.0588859 | val_loss: 0.0588432 | Time: 3112.84 ms [2020-11-26 16:52:49 main:581] : INFO : Epoch 102 | loss: 0.0588422 | val_loss: 0.0587695 | Time: 3071.04 ms [2020-11-26 16:52:52 main:581] : INFO : Epoch 103 | loss: 0.0587999 | val_loss: 0.0587293 | Time: 3133.41 ms [2020-11-26 16:52:56 main:581] : INFO : Epoch 104 | loss: 0.0587319 | val_loss: 0.0586898 | Time: 3189.09 ms [2020-11-26 16:52:59 main:581] : INFO : Epoch 105 | loss: 0.0587274 | val_loss: 0.0586834 | Time: 3094.1 ms [2020-11-26 16:53:02 main:581] : INFO : Epoch 106 | loss: 0.0586862 | val_loss: 0.0586631 | Time: 3053.69 ms [2020-11-26 16:53:05 main:581] : INFO : Epoch 107 | loss: 0.0586452 | val_loss: 0.0586333 | Time: 3079.91 ms [2020-11-26 16:53:08 main:581] : INFO : Epoch 108 | loss: 0.0586213 | val_loss: 0.0586016 | Time: 3014.69 ms [2020-11-26 16:53:11 main:581] : INFO : Epoch 109 | loss: 0.0585632 | val_loss: 0.0585578 | Time: 3007.95 ms [2020-11-26 16:53:14 main:581] : INFO : Epoch 110 | loss: 0.0584997 | val_loss: 0.0584988 | Time: 3003.28 ms [2020-11-26 16:53:17 main:581] : INFO : Epoch 111 | loss: 0.0584411 | val_loss: 0.0584512 | Time: 3056.88 ms [2020-11-26 16:53:20 main:581] : INFO : Epoch 112 | loss: 0.0583744 | val_loss: 0.0583681 | Time: 3066.11 ms [2020-11-26 16:53:23 main:581] : INFO : Epoch 113 | loss: 0.0583206 | val_loss: 0.0583388 | Time: 3062.75 ms [2020-11-26 16:53:26 main:581] : INFO : Epoch 114 | loss: 0.0582688 | val_loss: 0.0582852 | Time: 3142.25 ms [2020-11-26 16:53:29 main:581] : INFO : Epoch 115 | loss: 0.0582213 | val_loss: 0.0582555 | Time: 3143.2 ms [2020-11-26 16:53:32 main:581] : INFO : Epoch 116 | loss: 0.0581748 | val_loss: 0.0581863 | Time: 3063.1 ms [2020-11-26 16:53:36 main:581] : INFO : Epoch 117 | loss: 0.0580576 | val_loss: 0.0580431 | Time: 3178.09 ms [2020-11-26 16:53:39 main:581] : INFO : Epoch 118 | loss: 0.0579713 | val_loss: 0.0579581 | Time: 3201.16 ms [2020-11-26 16:53:42 main:581] : INFO : Epoch 119 | loss: 0.0578463 | val_loss: 0.0578287 | Time: 3120.45 ms [2020-11-26 16:53:45 main:581] : INFO : Epoch 120 | loss: 0.0577253 | val_loss: 0.0577036 | Time: 3132.65 ms [2020-11-26 16:53:48 main:581] : INFO : Epoch 121 | loss: 0.05761 | val_loss: 0.0576202 | Time: 3057.12 ms [2020-11-26 16:53:51 main:581] : INFO : Epoch 122 | loss: 0.0575001 | val_loss: 0.0575502 | Time: 3049.61 ms [2020-11-26 16:53:54 main:581] : INFO : Epoch 123 | loss: 0.0574024 | val_loss: 0.0574414 | Time: 3050.11 ms [2020-11-26 16:53:57 main:581] : INFO : Epoch 124 | loss: 0.0572807 | val_loss: 0.0573227 | Time: 3154.45 ms [2020-11-26 16:54:01 main:581] : INFO : Epoch 125 | loss: 0.0571658 | val_loss: 0.0571923 | Time: 3191.76 ms [2020-11-26 16:54:04 main:581] : INFO : Epoch 126 | loss: 0.0570176 | val_loss: 0.0570527 | Time: 3084.92 ms [2020-11-26 16:54:07 main:581] : INFO : Epoch 127 | loss: 0.0568959 | val_loss: 0.0568948 | Time: 3024.78 ms [2020-11-26 16:54:10 main:581] : INFO : Epoch 128 | loss: 0.056735 | val_loss: 0.0567187 | Time: 3070.86 ms [2020-11-26 16:54:13 main:581] : INFO : Epoch 129 | loss: 0.0565431 | val_loss: 0.056531 | Time: 3061.92 ms [2020-11-26 16:54:16 main:581] : INFO : Epoch 130 | loss: 0.056351 | val_loss: 0.0563442 | Time: 3123.9 ms [2020-11-26 16:54:19 main:581] : INFO : Epoch 131 | loss: 0.0561544 | val_loss: 0.0561655 | Time: 3154.55 ms [2020-11-26 16:54:22 main:581] : INFO : Epoch 132 | loss: 0.0560153 | val_loss: 0.0560131 | Time: 3128.71 ms [2020-11-26 16:54:25 main:581] : INFO : Epoch 133 | loss: 0.055813 | val_loss: 0.0558199 | Time: 3099.66 ms [2020-11-26 16:54:29 main:581] : INFO : Epoch 134 | loss: 0.0556578 | val_loss: 0.0556062 | Time: 3261.09 ms [2020-11-26 16:54:32 main:581] : INFO : Epoch 135 | loss: 0.0554296 | val_loss: 0.0553793 | Time: 3102.56 ms [2020-11-26 16:54:35 main:581] : INFO : Epoch 136 | loss: 0.0552392 | val_loss: 0.0552506 | Time: 3167.2 ms [2020-11-26 16:54:38 main:581] : INFO : Epoch 137 | loss: 0.0550604 | val_loss: 0.0550401 | Time: 3009.4 ms [2020-11-26 16:54:41 main:581] : INFO : Epoch 138 | loss: 0.0548625 | val_loss: 0.0548841 | Time: 3157.51 ms [2020-11-26 16:54:44 main:581] : INFO : Epoch 139 | loss: 0.0548726 | val_loss: 0.0548031 | Time: 3108.75 ms [2020-11-26 16:54:47 main:581] : INFO : Epoch 140 | loss: 0.0546592 | val_loss: 0.054732 | Time: 3045.49 ms [2020-11-26 16:54:50 main:581] : INFO : Epoch 141 | loss: 0.0544401 | val_loss: 0.0544028 | Time: 3026.43 ms [2020-11-26 16:54:53 main:581] : INFO : Epoch 142 | loss: 0.0542055 | val_loss: 0.0543043 | Time: 3078.53 ms [2020-11-26 16:54:56 main:581] : INFO : Epoch 143 | loss: 0.0542237 | val_loss: 0.0544044 | Time: 3101.39 ms [2020-11-26 16:55:00 main:581] : INFO : Epoch 144 | loss: 0.0540129 | val_loss: 0.0541117 | Time: 3190.62 ms [2020-11-26 16:55:03 main:581] : INFO : Epoch 145 | loss: 0.053755 | val_loss: 0.0539187 | Time: 2996.53 ms [2020-11-26 16:55:06 main:581] : INFO : Epoch 146 | loss: 0.0538056 | val_loss: 0.0540004 | Time: 3012.57 ms [2020-11-26 16:55:09 main:581] : INFO : Epoch 147 | loss: 0.0539516 | val_loss: 0.0541713 | Time: 3127.68 ms [2020-11-26 16:55:12 main:581] : INFO : Epoch 148 | loss: 0.0539758 | val_loss: 0.0539879 | Time: 3106.87 ms [2020-11-26 16:55:15 main:581] : INFO : Epoch 149 | loss: 0.053799 | val_loss: 0.0538897 | Time: 3182.82 ms [2020-11-26 16:55:18 main:581] : INFO : Epoch 150 | loss: 0.0536492 | val_loss: 0.0537408 | Time: 3048.22 ms [2020-11-26 16:55:21 main:581] : INFO : Epoch 151 | loss: 0.0535917 | val_loss: 0.0536317 | Time: 3081.34 ms [2020-11-26 16:55:24 main:581] : INFO : Epoch 152 | loss: 0.0535294 | val_loss: 0.0535373 | Time: 3113.65 ms [2020-11-26 16:55:27 main:581] : INFO : Epoch 153 | loss: 0.0535874 | val_loss: 0.0537059 | Time: 3083.22 ms [2020-11-26 16:55:30 main:581] : INFO : Epoch 154 | loss: 0.0535673 | val_loss: 0.0535968 | Time: 3082.64 ms [2020-11-26 16:55:33 main:581] : INFO : Epoch 155 | loss: 0.0534479 | val_loss: 0.0535014 | Time: 3047.94 ms [2020-11-26 16:55:36 main:581] : INFO : Epoch 156 | loss: 0.0534012 | val_loss: 0.0537396 | Time: 3080.13 ms [2020-11-26 16:55:40 main:581] : INFO : Epoch 157 | loss: 0.053512 | val_loss: 0.0536887 | Time: 3120.16 ms [2020-11-26 16:55:43 main:581] : INFO : Epoch 158 | loss: 0.053431 | val_loss: 0.0535278 | Time: 3091.64 ms [2020-11-26 16:55:46 main:581] : INFO : Epoch 159 | loss: 0.0533364 | val_loss: 0.0534668 | Time: 3065.76 ms [2020-11-26 16:55:49 main:581] : INFO : Epoch 160 | loss: 0.0532469 | val_loss: 0.0533967 | Time: 3034.06 ms [2020-11-26 16:55:52 main:581] : INFO : Epoch 161 | loss: 0.0532002 | val_loss: 0.0533443 | Time: 3092.37 ms [2020-11-26 16:55:55 main:581] : INFO : Epoch 162 | loss: 0.0532119 | val_loss: 0.0533132 | Time: 3070.18 ms [2020-11-26 16:55:58 main:581] : INFO : Epoch 163 | loss: 0.0531001 | val_loss: 0.0532607 | Time: 3069.64 ms [2020-11-26 16:56:01 main:581] : INFO : Epoch 164 | loss: 0.0530575 | val_loss: 0.0531584 | Time: 3062.7 ms [2020-11-26 16:56:04 main:581] : INFO : Epoch 165 | loss: 0.0529226 | val_loss: 0.0529665 | Time: 3064.34 ms [2020-11-26 16:56:07 main:581] : INFO : Epoch 166 | loss: 0.0528304 | val_loss: 0.0528446 | Time: 3186.86 ms [2020-11-26 16:56:10 main:581] : INFO : Epoch 167 | loss: 0.0527833 | val_loss: 0.0530486 | Time: 3116.14 ms [2020-11-26 16:56:14 main:581] : INFO : Epoch 168 | loss: 0.0528135 | val_loss: 0.0529343 | Time: 3070.17 ms [2020-11-26 16:56:17 main:581] : INFO : Epoch 169 | loss: 0.052687 | val_loss: 0.0527619 | Time: 3055.48 ms [2020-11-26 16:56:20 main:581] : INFO : Epoch 170 | loss: 0.052575 | val_loss: 0.0530196 | Time: 3071.46 ms [2020-11-26 16:56:23 main:581] : INFO : Epoch 171 | loss: 0.0527853 | val_loss: 0.0529276 | Time: 3146.94 ms [2020-11-26 16:56:26 main:581] : INFO : Epoch 172 | loss: 0.0527636 | val_loss: 0.0530799 | Time: 3089.94 ms [2020-11-26 16:56:29 main:581] : INFO : Epoch 173 | loss: 0.0529168 | val_loss: 0.0528719 | Time: 3098.73 ms [2020-11-26 16:56:32 main:581] : INFO : Epoch 174 | loss: 0.0526929 | val_loss: 0.0526448 | Time: 2992.09 ms [2020-11-26 16:56:35 main:581] : INFO : Epoch 175 | loss: 0.0524395 | val_loss: 0.0524497 | Time: 3144.36 ms [2020-11-26 16:56:38 main:581] : INFO : Epoch 176 | loss: 0.0522867 | val_loss: 0.052853 | Time: 3001.16 ms [2020-11-26 16:56:41 main:581] : INFO : Epoch 177 | loss: 0.0526294 | val_loss: 0.0526938 | Time: 3108.53 ms [2020-11-26 16:56:44 main:581] : INFO : Epoch 178 | loss: 0.0524456 | val_loss: 0.0525636 | Time: 3103.41 ms [2020-11-26 16:56:47 main:581] : INFO : Epoch 179 | loss: 0.0522617 | val_loss: 0.0524452 | Time: 3111.81 ms [2020-11-26 16:56:51 main:581] : INFO : Epoch 180 | loss: 0.0521008 | val_loss: 0.0522038 | Time: 3128.68 ms [2020-11-26 16:56:54 main:581] : INFO : Epoch 181 | loss: 0.0518882 | val_loss: 0.0520497 | Time: 3147.71 ms [2020-11-26 16:56:57 main:581] : INFO : Epoch 182 | loss: 0.0517201 | val_loss: 0.0519128 | Time: 3035.33 ms [2020-11-26 16:57:00 main:581] : INFO : Epoch 183 | loss: 0.0515391 | val_loss: 0.0517358 | Time: 3017.65 ms [2020-11-26 16:57:03 main:581] : INFO : Epoch 184 | loss: 0.051378 | val_loss: 0.0516417 | Time: 3084.13 ms [2020-11-26 16:57:06 main:581] : INFO : Epoch 185 | loss: 0.0514252 | val_loss: 0.0516906 | Time: 3098.77 ms [2020-11-26 16:57:09 main:581] : INFO : Epoch 186 | loss: 0.0512884 | val_loss: 0.0514532 | Time: 3032.29 ms [2020-11-26 16:57:12 main:581] : INFO : Epoch 187 | loss: 0.0516287 | val_loss: 0.0518355 | Time: 3023.07 ms [2020-11-26 16:57:15 main:581] : INFO : Epoch 188 | loss: 0.0515492 | val_loss: 0.0515334 | Time: 3074.57 ms [2020-11-26 16:57:18 main:581] : INFO : Epoch 189 | loss: 0.0512308 | val_loss: 0.0512915 | Time: 3017.14 ms [2020-11-26 16:57:21 main:581] : INFO : Epoch 190 | loss: 0.0509953 | val_loss: 0.0511268 | Time: 3035.53 ms [2020-11-26 16:57:24 main:581] : INFO : Epoch 191 | loss: 0.0507807 | val_loss: 0.0507749 | Time: 3064.48 ms [2020-11-26 16:57:27 main:581] : INFO : Epoch 192 | loss: 0.0505973 | val_loss: 0.0506006 | Time: 3071.14 ms [2020-11-26 16:57:27 main:604] : INFO : Saving trained model to model-final.pt, val_loss 0.0506006 [2020-11-26 16:57:27 main:610] : INFO : Saving end state to config to file [2020-11-26 16:57:27 main:615] : INFO : Success, exiting.. 16:57:27 (15399): 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)