Task 3074213
| Name | rand_automata_0025-1606117988-22454-87_0 |
| Workunit | 1402591 |
| Created | 26 Nov 2020, 19:13:06 UTC |
| Sent | 26 Nov 2020, 19:22:20 UTC |
| Report deadline | 3 Dec 2020, 19:22:20 UTC |
| Received | 26 Nov 2020, 19:32:35 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 4754 |
| Run time | 9 min 48 sec |
| CPU time | 9 min 44 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 14:22:37 main:442] : INFO : Set logging level to 1 [2020-11-26 14:22:37 main:448] : INFO : Running in BOINC Client mode [2020-11-26 14:22:37 main:451] : INFO : Resolving all filenames [2020-11-26 14:22:37 main:459] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-train-val-dataset.hdf5 (exists = 1) [2020-11-26 14:22:37 main:459] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-1606117988-22454-87_0_r54716465_1 (exists = 0) [2020-11-26 14:22:37 main:459] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-1606117988-22454-87_0_r54716465_0 (exists = 0) [2020-11-26 14:22:37 main:459] : INFO : Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-1606117988-22454-87 (exists = 1) [2020-11-26 14:22:37 main:459] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-26 14:22:37 main:479] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-train-val-dataset.hdf5 [2020-11-26 14:22:37 main:481] : INFO : Configuration: [2020-11-26 14:22:37 main:482] : INFO : Model type: LSTM [2020-11-26 14:22:37 main:483] : INFO : Validation Loss Threshold: 0.0001 [2020-11-26 14:22:37 main:484] : INFO : Max Epochs: 192 [2020-11-26 14:22:37 main:485] : INFO : Batch Size: 32 [2020-11-26 14:22:37 main:486] : INFO : Learning Rate: 0.001 [2020-11-26 14:22:37 main:487] : INFO : Patience: 10 [2020-11-26 14:22:37 main:488] : INFO : Hidden Width: 64 [2020-11-26 14:22:37 main:489] : INFO : # Recurrent Layers: 4 [2020-11-26 14:22:37 main:490] : INFO : # Backend Layers: 2 [2020-11-26 14:22:37 main:491] : INFO : # Threads: 1 [2020-11-26 14:22:37 main:493] : INFO : Preparing Dataset [2020-11-26 14:22:37 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-train-val-dataset.hdf5 into memory [2020-11-26 14:22:37 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-train-val-dataset.hdf5 into memory [2020-11-26 14:22:39 load:106] : INFO : Successfully loaded dataset of 4096 examples into memory. [2020-11-26 14:22:39 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-train-val-dataset.hdf5 into memory [2020-11-26 14:22:39 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-train-val-dataset.hdf5 into memory [2020-11-26 14:22:39 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-26 14:22:39 main:501] : INFO : Creating Model [2020-11-26 14:22:39 main:514] : INFO : Preparing config file [2020-11-26 14:22:39 main:526] : INFO : Creating new config file [2020-11-26 14:22:39 main:545] : INFO : This is a continuation WU, loading previous network [2020-11-26 14:22:39 main:566] : INFO : Loading DataLoader into Memory [2020-11-26 14:22:39 main:569] : INFO : Starting Training [2020-11-26 14:22:44 main:581] : INFO : Epoch 1 | loss: 0.0581848 | val_loss: 0.0576466 | Time: 4606.26 ms [2020-11-26 14:22:47 main:581] : INFO : Epoch 2 | loss: 0.057635 | val_loss: 0.0575767 | Time: 2985.99 ms [2020-11-26 14:22:50 main:581] : INFO : Epoch 3 | loss: 0.0570916 | val_loss: 0.0567967 | Time: 2962.44 ms [2020-11-26 14:22:53 main:581] : INFO : Epoch 4 | loss: 0.0563662 | val_loss: 0.056044 | Time: 3047.7 ms [2020-11-26 14:22:56 main:581] : INFO : Epoch 5 | loss: 0.0559049 | val_loss: 0.056035 | Time: 2916.65 ms [2020-11-26 14:22:59 main:581] : INFO : Epoch 6 | loss: 0.0565007 | val_loss: 0.0570435 | Time: 2949.97 ms [2020-11-26 14:23:02 main:581] : INFO : Epoch 7 | loss: 0.0571769 | val_loss: 0.0576269 | Time: 3075.13 ms [2020-11-26 14:23:05 main:581] : INFO : Epoch 8 | loss: 0.0576187 | val_loss: 0.0576008 | Time: 2957.34 ms [2020-11-26 14:23:08 main:581] : INFO : Epoch 9 | loss: 0.0575849 | val_loss: 0.0575873 | Time: 2974.84 ms [2020-11-26 14:23:11 main:581] : INFO : Epoch 10 | loss: 0.0576081 | val_loss: 0.0575472 | Time: 2993.68 ms [2020-11-26 14:23:14 main:581] : INFO : Epoch 11 | loss: 0.0576241 | val_loss: 0.0575654 | Time: 2972 ms [2020-11-26 14:23:17 main:581] : INFO : Epoch 12 | loss: 0.057582 | val_loss: 0.0575305 | Time: 3028.06 ms [2020-11-26 14:23:20 main:581] : INFO : Epoch 13 | loss: 0.057522 | val_loss: 0.0574395 | Time: 3007.11 ms [2020-11-26 14:23:23 main:581] : INFO : Epoch 14 | loss: 0.0575377 | val_loss: 0.0574747 | Time: 3224.02 ms [2020-11-26 14:23:26 main:581] : INFO : Epoch 15 | loss: 0.0575111 | val_loss: 0.0574221 | Time: 3026.94 ms [2020-11-26 14:23:29 main:581] : INFO : Epoch 16 | loss: 0.0574707 | val_loss: 0.0573321 | Time: 2970.85 ms [2020-11-26 14:23:32 main:581] : INFO : Epoch 17 | loss: 0.0573865 | val_loss: 0.0572827 | Time: 3002.04 ms [2020-11-26 14:23:35 main:581] : INFO : Epoch 18 | loss: 0.0573667 | val_loss: 0.0572657 | Time: 2942.24 ms [2020-11-26 14:23:38 main:581] : INFO : Epoch 19 | loss: 0.0573206 | val_loss: 0.0572723 | Time: 3017.25 ms [2020-11-26 14:23:41 main:581] : INFO : Epoch 20 | loss: 0.0575725 | val_loss: 0.057471 | Time: 3026.65 ms [2020-11-26 14:23:44 main:581] : INFO : Epoch 21 | loss: 0.0575522 | val_loss: 0.0574477 | Time: 3033 ms [2020-11-26 14:23:47 main:581] : INFO : Epoch 22 | loss: 0.0575161 | val_loss: 0.0574193 | Time: 3159.17 ms [2020-11-26 14:23:50 main:581] : INFO : Epoch 23 | loss: 0.0575375 | val_loss: 0.0573816 | Time: 2940.51 ms [2020-11-26 14:23:53 main:581] : INFO : Epoch 24 | loss: 0.057496 | val_loss: 0.0573436 | Time: 3191.81 ms [2020-11-26 14:23:56 main:581] : INFO : Epoch 25 | loss: 0.0574493 | val_loss: 0.0573189 | Time: 3033.17 ms [2020-11-26 14:23:59 main:581] : INFO : Epoch 26 | loss: 0.0574112 | val_loss: 0.0573091 | Time: 2976.28 ms [2020-11-26 14:24:02 main:581] : INFO : Epoch 27 | loss: 0.057363 | val_loss: 0.0572832 | Time: 3066.12 ms [2020-11-26 14:24:05 main:581] : INFO : Epoch 28 | loss: 0.0573876 | val_loss: 0.057415 | Time: 2992.66 ms [2020-11-26 14:24:08 main:581] : INFO : Epoch 29 | loss: 0.0575317 | val_loss: 0.0574482 | Time: 2961.97 ms [2020-11-26 14:24:11 main:581] : INFO : Epoch 30 | loss: 0.0575838 | val_loss: 0.0574336 | Time: 2968.55 ms [2020-11-26 14:24:14 main:581] : INFO : Epoch 31 | loss: 0.0575489 | val_loss: 0.0574088 | Time: 3026.59 ms [2020-11-26 14:24:17 main:581] : INFO : Epoch 32 | loss: 0.057494 | val_loss: 0.0573726 | Time: 2997.46 ms [2020-11-26 14:24:20 main:581] : INFO : Epoch 33 | loss: 0.0574022 | val_loss: 0.0573814 | Time: 3069.36 ms [2020-11-26 14:24:23 main:581] : INFO : Epoch 34 | loss: 0.0574194 | val_loss: 0.0573844 | Time: 2978.55 ms [2020-11-26 14:24:26 main:581] : INFO : Epoch 35 | loss: 0.0574346 | val_loss: 0.0573752 | Time: 2949.3 ms [2020-11-26 14:24:29 main:581] : INFO : Epoch 36 | loss: 0.057496 | val_loss: 0.057452 | Time: 2989.65 ms [2020-11-26 14:24:32 main:581] : INFO : Epoch 37 | loss: 0.0575437 | val_loss: 0.0574507 | Time: 2950.54 ms [2020-11-26 14:24:35 main:581] : INFO : Epoch 38 | loss: 0.0574914 | val_loss: 0.0574105 | Time: 2959.06 ms [2020-11-26 14:24:38 main:581] : INFO : Epoch 39 | loss: 0.0574592 | val_loss: 0.0573345 | Time: 2997.86 ms [2020-11-26 14:24:41 main:581] : INFO : Epoch 40 | loss: 0.0574414 | val_loss: 0.0574845 | Time: 3019.99 ms [2020-11-26 14:24:44 main:581] : INFO : Epoch 41 | loss: 0.0576192 | val_loss: 0.0577606 | Time: 2935.2 ms [2020-11-26 14:24:47 main:581] : INFO : Epoch 42 | loss: 0.0579483 | val_loss: 0.0579057 | Time: 2986.84 ms [2020-11-26 14:24:50 main:581] : INFO : Epoch 43 | loss: 0.058016 | val_loss: 0.0582708 | Time: 2961.99 ms [2020-11-26 14:24:53 main:581] : INFO : Epoch 44 | loss: 0.0582801 | val_loss: 0.0582331 | Time: 3240.37 ms [2020-11-26 14:24:56 main:581] : INFO : Epoch 45 | loss: 0.0582071 | val_loss: 0.0581346 | Time: 3238.89 ms [2020-11-26 14:24:59 main:581] : INFO : Epoch 46 | loss: 0.058199 | val_loss: 0.0581586 | Time: 3015.59 ms [2020-11-26 14:25:02 main:581] : INFO : Epoch 47 | loss: 0.05807 | val_loss: 0.0579445 | Time: 2974.97 ms [2020-11-26 14:25:06 main:581] : INFO : Epoch 48 | loss: 0.0579552 | val_loss: 0.0580541 | Time: 3368.26 ms [2020-11-26 14:25:09 main:581] : INFO : Epoch 49 | loss: 0.0580415 | val_loss: 0.0580445 | Time: 3013.3 ms [2020-11-26 14:25:12 main:581] : INFO : Epoch 50 | loss: 0.0580199 | val_loss: 0.0580527 | Time: 2957.13 ms [2020-11-26 14:25:15 main:581] : INFO : Epoch 51 | loss: 0.0581436 | val_loss: 0.0581703 | Time: 3037.81 ms [2020-11-26 14:25:18 main:581] : INFO : Epoch 52 | loss: 0.0581586 | val_loss: 0.0581823 | Time: 2935.77 ms [2020-11-26 14:25:21 main:581] : INFO : Epoch 53 | loss: 0.0581585 | val_loss: 0.0581544 | Time: 2979.4 ms [2020-11-26 14:25:24 main:581] : INFO : Epoch 54 | loss: 0.0581346 | val_loss: 0.0581712 | Time: 3012.15 ms [2020-11-26 14:25:27 main:581] : INFO : Epoch 55 | loss: 0.0581806 | val_loss: 0.0581342 | Time: 3096.15 ms [2020-11-26 14:25:30 main:581] : INFO : Epoch 56 | loss: 0.0582628 | val_loss: 0.0583242 | Time: 3192.39 ms [2020-11-26 14:25:33 main:581] : INFO : Epoch 57 | loss: 0.0583401 | val_loss: 0.0582455 | Time: 3033.69 ms [2020-11-26 14:25:36 main:581] : INFO : Epoch 58 | loss: 0.0583157 | val_loss: 0.0582974 | Time: 2976.41 ms [2020-11-26 14:25:39 main:581] : INFO : Epoch 59 | loss: 0.0584126 | val_loss: 0.058686 | Time: 2936.86 ms [2020-11-26 14:25:42 main:581] : INFO : Epoch 60 | loss: 0.0586519 | val_loss: 0.0586874 | Time: 3290.36 ms [2020-11-26 14:25:45 main:581] : INFO : Epoch 61 | loss: 0.0586353 | val_loss: 0.0586435 | Time: 2997.55 ms [2020-11-26 14:25:48 main:581] : INFO : Epoch 62 | loss: 0.0586215 | val_loss: 0.058653 | Time: 3015.06 ms [2020-11-26 14:25:51 main:581] : INFO : Epoch 63 | loss: 0.0586209 | val_loss: 0.0586441 | Time: 3130.09 ms [2020-11-26 14:25:54 main:581] : INFO : Epoch 64 | loss: 0.0586188 | val_loss: 0.0586961 | Time: 3012.57 ms [2020-11-26 14:25:57 main:581] : INFO : Epoch 65 | loss: 0.0586507 | val_loss: 0.0587093 | Time: 2964.26 ms [2020-11-26 14:26:00 main:581] : INFO : Epoch 66 | loss: 0.0586563 | val_loss: 0.0587323 | Time: 2954.73 ms [2020-11-26 14:26:03 main:581] : INFO : Epoch 67 | loss: 0.058713 | val_loss: 0.0587642 | Time: 3056.88 ms [2020-11-26 14:26:07 main:581] : INFO : Epoch 68 | loss: 0.0587053 | val_loss: 0.0587827 | Time: 3189.17 ms [2020-11-26 14:26:10 main:581] : INFO : Epoch 69 | loss: 0.058696 | val_loss: 0.0587548 | Time: 3011.79 ms [2020-11-26 14:26:13 main:581] : INFO : Epoch 70 | loss: 0.0585457 | val_loss: 0.0585886 | Time: 3072.68 ms [2020-11-26 14:26:16 main:581] : INFO : Epoch 71 | loss: 0.0584966 | val_loss: 0.0585841 | Time: 2984.74 ms [2020-11-26 14:26:19 main:581] : INFO : Epoch 72 | loss: 0.0585011 | val_loss: 0.0585842 | Time: 2989.9 ms [2020-11-26 14:26:22 main:581] : INFO : Epoch 73 | loss: 0.0584999 | val_loss: 0.0585811 | Time: 3030.8 ms [2020-11-26 14:26:25 main:581] : INFO : Epoch 74 | loss: 0.0584951 | val_loss: 0.0585727 | Time: 3179.73 ms [2020-11-26 14:26:28 main:581] : INFO : Epoch 75 | loss: 0.058482 | val_loss: 0.0585759 | Time: 3269.96 ms [2020-11-26 14:26:31 main:581] : INFO : Epoch 76 | loss: 0.0585153 | val_loss: 0.058601 | Time: 2974.65 ms [2020-11-26 14:26:34 main:581] : INFO : Epoch 77 | loss: 0.0585557 | val_loss: 0.0586048 | Time: 2968.55 ms [2020-11-26 14:26:37 main:581] : INFO : Epoch 78 | loss: 0.0585452 | val_loss: 0.0585917 | Time: 3029.23 ms [2020-11-26 14:26:40 main:581] : INFO : Epoch 79 | loss: 0.0585926 | val_loss: 0.0586337 | Time: 3199.84 ms [2020-11-26 14:26:43 main:581] : INFO : Epoch 80 | loss: 0.058614 | val_loss: 0.0586423 | Time: 3051.03 ms [2020-11-26 14:26:46 main:581] : INFO : Epoch 81 | loss: 0.0586129 | val_loss: 0.058646 | Time: 3036.48 ms [2020-11-26 14:26:49 main:581] : INFO : Epoch 82 | loss: 0.0586642 | val_loss: 0.0587503 | Time: 2932.44 ms [2020-11-26 14:26:52 main:581] : INFO : Epoch 83 | loss: 0.0587397 | val_loss: 0.0587592 | Time: 3056.9 ms [2020-11-26 14:26:55 main:581] : INFO : Epoch 84 | loss: 0.0587745 | val_loss: 0.0588092 | Time: 3028.84 ms [2020-11-26 14:26:58 main:581] : INFO : Epoch 85 | loss: 0.0588318 | val_loss: 0.058836 | Time: 2945.71 ms [2020-11-26 14:27:01 main:581] : INFO : Epoch 86 | loss: 0.0588793 | val_loss: 0.058916 | Time: 2925.06 ms [2020-11-26 14:27:04 main:581] : INFO : Epoch 87 | loss: 0.0588818 | val_loss: 0.0589032 | Time: 2986.18 ms [2020-11-26 14:27:07 main:581] : INFO : Epoch 88 | loss: 0.058862 | val_loss: 0.0588302 | Time: 2972.15 ms [2020-11-26 14:27:10 main:581] : INFO : Epoch 89 | loss: 0.058844 | val_loss: 0.0588372 | Time: 2944.39 ms [2020-11-26 14:27:13 main:581] : INFO : Epoch 90 | loss: 0.0588382 | val_loss: 0.0588478 | Time: 3041.06 ms [2020-11-26 14:27:16 main:581] : INFO : Epoch 91 | loss: 0.0588627 | val_loss: 0.0588169 | Time: 3030.86 ms [2020-11-26 14:27:19 main:581] : INFO : Epoch 92 | loss: 0.0588372 | val_loss: 0.0587574 | Time: 3033.29 ms [2020-11-26 14:27:22 main:581] : INFO : Epoch 93 | loss: 0.0588756 | val_loss: 0.0588053 | Time: 3007.97 ms [2020-11-26 14:27:25 main:581] : INFO : Epoch 94 | loss: 0.0588458 | val_loss: 0.0588057 | Time: 3054.5 ms [2020-11-26 14:27:28 main:581] : INFO : Epoch 95 | loss: 0.0587816 | val_loss: 0.0587494 | Time: 3065.13 ms [2020-11-26 14:27:31 main:581] : INFO : Epoch 96 | loss: 0.0587541 | val_loss: 0.058724 | Time: 2995.98 ms [2020-11-26 14:27:35 main:581] : INFO : Epoch 97 | loss: 0.0587336 | val_loss: 0.0587088 | Time: 3119.92 ms [2020-11-26 14:27:38 main:581] : INFO : Epoch 98 | loss: 0.0587395 | val_loss: 0.0587419 | Time: 3019.36 ms [2020-11-26 14:27:41 main:581] : INFO : Epoch 99 | loss: 0.0587442 | val_loss: 0.0586534 | Time: 2969.41 ms [2020-11-26 14:27:43 main:581] : INFO : Epoch 100 | loss: 0.0586766 | val_loss: 0.0586579 | Time: 2969.94 ms [2020-11-26 14:27:47 main:581] : INFO : Epoch 101 | loss: 0.0586545 | val_loss: 0.0586457 | Time: 3035.16 ms [2020-11-26 14:27:49 main:581] : INFO : Epoch 102 | loss: 0.0586396 | val_loss: 0.0586209 | Time: 2969.97 ms [2020-11-26 14:27:53 main:581] : INFO : Epoch 103 | loss: 0.0586443 | val_loss: 0.0586977 | Time: 3102.78 ms [2020-11-26 14:27:56 main:581] : INFO : Epoch 104 | loss: 0.0586637 | val_loss: 0.0586667 | Time: 3072.47 ms [2020-11-26 14:27:59 main:581] : INFO : Epoch 105 | loss: 0.0586268 | val_loss: 0.0586325 | Time: 3100.73 ms [2020-11-26 14:28:02 main:581] : INFO : Epoch 106 | loss: 0.0585569 | val_loss: 0.0585686 | Time: 2976.09 ms [2020-11-26 14:28:05 main:581] : INFO : Epoch 107 | loss: 0.0585251 | val_loss: 0.0586427 | Time: 3009.76 ms [2020-11-26 14:28:08 main:581] : INFO : Epoch 108 | loss: 0.0585529 | val_loss: 0.0586116 | Time: 3041.6 ms [2020-11-26 14:28:11 main:581] : INFO : Epoch 109 | loss: 0.0585122 | val_loss: 0.0585616 | Time: 2997.88 ms [2020-11-26 14:28:14 main:581] : INFO : Epoch 110 | loss: 0.0585569 | val_loss: 0.0586263 | Time: 3009.9 ms [2020-11-26 14:28:17 main:581] : INFO : Epoch 111 | loss: 0.0586221 | val_loss: 0.0586721 | Time: 3054.23 ms [2020-11-26 14:28:20 main:581] : INFO : Epoch 112 | loss: 0.0586245 | val_loss: 0.0586657 | Time: 2958.24 ms [2020-11-26 14:28:23 main:581] : INFO : Epoch 113 | loss: 0.0587284 | val_loss: 0.0587787 | Time: 2963.15 ms [2020-11-26 14:28:26 main:581] : INFO : Epoch 114 | loss: 0.0587373 | val_loss: 0.058843 | Time: 2974.58 ms [2020-11-26 14:28:29 main:581] : INFO : Epoch 115 | loss: 0.0588628 | val_loss: 0.0591689 | Time: 2968.18 ms [2020-11-26 14:28:32 main:581] : INFO : Epoch 116 | loss: 0.0591144 | val_loss: 0.0591451 | Time: 3086.72 ms [2020-11-26 14:28:35 main:581] : INFO : Epoch 117 | loss: 0.0591018 | val_loss: 0.0591389 | Time: 3093.15 ms [2020-11-26 14:28:38 main:581] : INFO : Epoch 118 | loss: 0.0591019 | val_loss: 0.0591295 | Time: 3103.53 ms [2020-11-26 14:28:41 main:581] : INFO : Epoch 119 | loss: 0.0590768 | val_loss: 0.0590819 | Time: 3129.07 ms [2020-11-26 14:28:44 main:581] : INFO : Epoch 120 | loss: 0.0590635 | val_loss: 0.0591167 | Time: 3122.75 ms [2020-11-26 14:28:47 main:581] : INFO : Epoch 121 | loss: 0.0592253 | val_loss: 0.0592697 | Time: 3125.86 ms [2020-11-26 14:28:50 main:581] : INFO : Epoch 122 | loss: 0.0592004 | val_loss: 0.0592304 | Time: 3104 ms [2020-11-26 14:28:53 main:581] : INFO : Epoch 123 | loss: 0.0591612 | val_loss: 0.0591995 | Time: 2916.38 ms [2020-11-26 14:28:56 main:581] : INFO : Epoch 124 | loss: 0.0591484 | val_loss: 0.0591824 | Time: 2950.1 ms [2020-11-26 14:28:59 main:581] : INFO : Epoch 125 | loss: 0.0591198 | val_loss: 0.0591583 | Time: 2975.34 ms [2020-11-26 14:29:02 main:581] : INFO : Epoch 126 | loss: 0.059114 | val_loss: 0.0591544 | Time: 2963.61 ms [2020-11-26 14:29:05 main:581] : INFO : Epoch 127 | loss: 0.0590899 | val_loss: 0.0591172 | Time: 2940.09 ms [2020-11-26 14:29:08 main:581] : INFO : Epoch 128 | loss: 0.0590498 | val_loss: 0.0590835 | Time: 2938.67 ms [2020-11-26 14:29:11 main:581] : INFO : Epoch 129 | loss: 0.0589964 | val_loss: 0.059042 | Time: 2996.76 ms [2020-11-26 14:29:14 main:581] : INFO : Epoch 130 | loss: 0.058948 | val_loss: 0.0589742 | Time: 3049.91 ms [2020-11-26 14:29:17 main:581] : INFO : Epoch 131 | loss: 0.0588381 | val_loss: 0.0588576 | Time: 3038.75 ms [2020-11-26 14:29:20 main:581] : INFO : Epoch 132 | loss: 0.0587654 | val_loss: 0.0588406 | Time: 3030.18 ms [2020-11-26 14:29:23 main:581] : INFO : Epoch 133 | loss: 0.0587193 | val_loss: 0.0587943 | Time: 2961.33 ms [2020-11-26 14:29:26 main:581] : INFO : Epoch 134 | loss: 0.0586655 | val_loss: 0.0587378 | Time: 3034.38 ms [2020-11-26 14:29:29 main:581] : INFO : Epoch 135 | loss: 0.05861 | val_loss: 0.0586663 | Time: 3165.44 ms [2020-11-26 14:29:32 main:581] : INFO : Epoch 136 | loss: 0.0585442 | val_loss: 0.0586694 | Time: 2965.73 ms [2020-11-26 14:29:35 main:581] : INFO : Epoch 137 | loss: 0.058558 | val_loss: 0.0586452 | Time: 2955.5 ms [2020-11-26 14:29:38 main:581] : INFO : Epoch 138 | loss: 0.0585331 | val_loss: 0.0587068 | Time: 3053.63 ms [2020-11-26 14:29:41 main:581] : INFO : Epoch 139 | loss: 0.0585472 | val_loss: 0.0586581 | Time: 2993.69 ms [2020-11-26 14:29:44 main:581] : INFO : Epoch 140 | loss: 0.0584753 | val_loss: 0.0585525 | Time: 2971.4 ms [2020-11-26 14:29:47 main:581] : INFO : Epoch 141 | loss: 0.0584011 | val_loss: 0.0585228 | Time: 3061.91 ms [2020-11-26 14:29:51 main:581] : INFO : Epoch 142 | loss: 0.0584042 | val_loss: 0.0585781 | Time: 3064.31 ms [2020-11-26 14:29:54 main:581] : INFO : Epoch 143 | loss: 0.0584025 | val_loss: 0.0585003 | Time: 3012.76 ms [2020-11-26 14:29:57 main:581] : INFO : Epoch 144 | loss: 0.058303 | val_loss: 0.0583502 | Time: 3061.88 ms [2020-11-26 14:30:00 main:581] : INFO : Epoch 145 | loss: 0.0581647 | val_loss: 0.0582268 | Time: 3072.26 ms [2020-11-26 14:30:03 main:581] : INFO : Epoch 146 | loss: 0.0581145 | val_loss: 0.0582842 | Time: 2978.17 ms [2020-11-26 14:30:06 main:581] : INFO : Epoch 147 | loss: 0.0580965 | val_loss: 0.0581318 | Time: 3013.22 ms [2020-11-26 14:30:09 main:581] : INFO : Epoch 148 | loss: 0.0580202 | val_loss: 0.0581035 | Time: 3046.75 ms [2020-11-26 14:30:12 main:581] : INFO : Epoch 149 | loss: 0.058029 | val_loss: 0.0580353 | Time: 2985.14 ms [2020-11-26 14:30:15 main:581] : INFO : Epoch 150 | loss: 0.0579013 | val_loss: 0.0578728 | Time: 2964.18 ms [2020-11-26 14:30:18 main:581] : INFO : Epoch 151 | loss: 0.0577887 | val_loss: 0.0578647 | Time: 3025.38 ms [2020-11-26 14:30:21 main:581] : INFO : Epoch 152 | loss: 0.0578474 | val_loss: 0.0579704 | Time: 2945.41 ms [2020-11-26 14:30:24 main:581] : INFO : Epoch 153 | loss: 0.0577882 | val_loss: 0.0579201 | Time: 3003.53 ms [2020-11-26 14:30:27 main:581] : INFO : Epoch 154 | loss: 0.0577419 | val_loss: 0.0578294 | Time: 3001.93 ms [2020-11-26 14:30:30 main:581] : INFO : Epoch 155 | loss: 0.0576617 | val_loss: 0.0577319 | Time: 2991.16 ms [2020-11-26 14:30:33 main:581] : INFO : Epoch 156 | loss: 0.0574987 | val_loss: 0.0575202 | Time: 3000.46 ms [2020-11-26 14:30:36 main:581] : INFO : Epoch 157 | loss: 0.0573433 | val_loss: 0.0573354 | Time: 2999.26 ms [2020-11-26 14:30:39 main:581] : INFO : Epoch 158 | loss: 0.0571791 | val_loss: 0.0572934 | Time: 3099.84 ms [2020-11-26 14:30:42 main:581] : INFO : Epoch 159 | loss: 0.0570944 | val_loss: 0.0571452 | Time: 3010.72 ms [2020-11-26 14:30:45 main:581] : INFO : Epoch 160 | loss: 0.0568612 | val_loss: 0.0567324 | Time: 2981.49 ms [2020-11-26 14:30:48 main:581] : INFO : Epoch 161 | loss: 0.0564695 | val_loss: 0.0565376 | Time: 3045.29 ms [2020-11-26 14:30:51 main:581] : INFO : Epoch 162 | loss: 0.0563793 | val_loss: 0.0564348 | Time: 3131.29 ms [2020-11-26 14:30:54 main:581] : INFO : Epoch 163 | loss: 0.0562201 | val_loss: 0.056175 | Time: 2983.67 ms [2020-11-26 14:30:57 main:581] : INFO : Epoch 164 | loss: 0.0560272 | val_loss: 0.0560271 | Time: 2941.45 ms [2020-11-26 14:31:00 main:581] : INFO : Epoch 165 | loss: 0.0559993 | val_loss: 0.0559578 | Time: 3028.19 ms [2020-11-26 14:31:03 main:581] : INFO : Epoch 166 | loss: 0.0557823 | val_loss: 0.0557205 | Time: 2998.24 ms [2020-11-26 14:31:06 main:581] : INFO : Epoch 167 | loss: 0.0556841 | val_loss: 0.0556368 | Time: 3025.48 ms [2020-11-26 14:31:09 main:581] : INFO : Epoch 168 | loss: 0.0555098 | val_loss: 0.0553828 | Time: 2991.32 ms [2020-11-26 14:31:12 main:581] : INFO : Epoch 169 | loss: 0.0552413 | val_loss: 0.0549603 | Time: 3016.76 ms [2020-11-26 14:31:15 main:581] : INFO : Epoch 170 | loss: 0.0550562 | val_loss: 0.0548986 | Time: 3046.9 ms [2020-11-26 14:31:18 main:581] : INFO : Epoch 171 | loss: 0.0549084 | val_loss: 0.05473 | Time: 3087.26 ms [2020-11-26 14:31:21 main:581] : INFO : Epoch 172 | loss: 0.0546037 | val_loss: 0.0546346 | Time: 2993.99 ms [2020-11-26 14:31:24 main:581] : INFO : Epoch 173 | loss: 0.0547418 | val_loss: 0.0546792 | Time: 3094.83 ms [2020-11-26 14:31:27 main:581] : INFO : Epoch 174 | loss: 0.0544897 | val_loss: 0.0541078 | Time: 3080.94 ms [2020-11-26 14:31:30 main:581] : INFO : Epoch 175 | loss: 0.0539575 | val_loss: 0.053869 | Time: 2983.06 ms [2020-11-26 14:31:33 main:581] : INFO : Epoch 176 | loss: 0.0537208 | val_loss: 0.0535254 | Time: 3123.96 ms [2020-11-26 14:31:36 main:581] : INFO : Epoch 177 | loss: 0.0532557 | val_loss: 0.0533141 | Time: 3010.8 ms [2020-11-26 14:31:39 main:581] : INFO : Epoch 178 | loss: 0.0531564 | val_loss: 0.0537868 | Time: 3094.07 ms [2020-11-26 14:31:42 main:581] : INFO : Epoch 179 | loss: 0.0556202 | val_loss: 0.0560375 | Time: 3046.89 ms [2020-11-26 14:31:45 main:581] : INFO : Epoch 180 | loss: 0.0561224 | val_loss: 0.0566473 | Time: 3016.8 ms [2020-11-26 14:31:49 main:581] : INFO : Epoch 181 | loss: 0.0563983 | val_loss: 0.0565311 | Time: 3119.7 ms [2020-11-26 14:31:52 main:581] : INFO : Epoch 182 | loss: 0.0563206 | val_loss: 0.0564377 | Time: 3159.44 ms [2020-11-26 14:31:55 main:581] : INFO : Epoch 183 | loss: 0.0562452 | val_loss: 0.056421 | Time: 3350.67 ms [2020-11-26 14:31:58 main:581] : INFO : Epoch 184 | loss: 0.0561946 | val_loss: 0.0563405 | Time: 3055.73 ms [2020-11-26 14:32:01 main:581] : INFO : Epoch 185 | loss: 0.0561037 | val_loss: 0.0562177 | Time: 3127.7 ms [2020-11-26 14:32:04 main:581] : INFO : Epoch 186 | loss: 0.0559781 | val_loss: 0.056097 | Time: 3144.03 ms [2020-11-26 14:32:07 main:581] : INFO : Epoch 187 | loss: 0.0560446 | val_loss: 0.0568676 | Time: 3022.48 ms [2020-11-26 14:32:10 main:581] : INFO : Epoch 188 | loss: 0.0566608 | val_loss: 0.0568063 | Time: 3052.14 ms [2020-11-26 14:32:13 main:581] : INFO : Epoch 189 | loss: 0.0565841 | val_loss: 0.0567437 | Time: 2976.58 ms [2020-11-26 14:32:16 main:581] : INFO : Epoch 190 | loss: 0.0565833 | val_loss: 0.0571054 | Time: 2965.27 ms [2020-11-26 14:32:19 main:581] : INFO : Epoch 191 | loss: 0.0570564 | val_loss: 0.0572334 | Time: 2956.66 ms [2020-11-26 14:32:22 main:581] : INFO : Epoch 192 | loss: 0.0570167 | val_loss: 0.0571939 | Time: 2959.01 ms [2020-11-26 14:32:22 main:604] : INFO : Saving trained model to model-final.pt, val_loss 0.0571939 [2020-11-26 14:32:22 main:610] : INFO : Saving end state to config to file [2020-11-26 14:32:22 main:615] : INFO : Success, exiting.. 14:32:22 (15079): 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)