Task 3075134
| Name | rand_automata_0025-1606117988-22454-93_0 |
| Workunit | 1403366 |
| Created | 26 Nov 2020, 21:16:42 UTC |
| Sent | 26 Nov 2020, 21:26:37 UTC |
| Report deadline | 3 Dec 2020, 21:26:37 UTC |
| Received | 26 Nov 2020, 21:36:53 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 4754 |
| Run time | 9 min 51 sec |
| CPU time | 9 min 47 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 16:26:54 main:442] : INFO : Set logging level to 1 [2020-11-26 16:26:54 main:448] : INFO : Running in BOINC Client mode [2020-11-26 16:26:54 main:451] : INFO : Resolving all filenames [2020-11-26 16:26:54 main:459] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-train-val-dataset.hdf5 (exists = 1) [2020-11-26 16:26:54 main:459] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-1606117988-22454-93_0_r973601550_1 (exists = 0) [2020-11-26 16:26:54 main:459] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-1606117988-22454-93_0_r973601550_0 (exists = 0) [2020-11-26 16:26:54 main:459] : INFO : Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-1606117988-22454-93 (exists = 1) [2020-11-26 16:26:54 main:459] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-26 16:26:54 main:479] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-train-val-dataset.hdf5 [2020-11-26 16:26:54 main:481] : INFO : Configuration: [2020-11-26 16:26:54 main:482] : INFO : Model type: LSTM [2020-11-26 16:26:54 main:483] : INFO : Validation Loss Threshold: 0.0001 [2020-11-26 16:26:54 main:484] : INFO : Max Epochs: 192 [2020-11-26 16:26:54 main:485] : INFO : Batch Size: 32 [2020-11-26 16:26:54 main:486] : INFO : Learning Rate: 0.001 [2020-11-26 16:26:54 main:487] : INFO : Patience: 10 [2020-11-26 16:26:54 main:488] : INFO : Hidden Width: 64 [2020-11-26 16:26:54 main:489] : INFO : # Recurrent Layers: 4 [2020-11-26 16:26:54 main:490] : INFO : # Backend Layers: 2 [2020-11-26 16:26:54 main:491] : INFO : # Threads: 1 [2020-11-26 16:26:54 main:493] : INFO : Preparing Dataset [2020-11-26 16:26:54 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 16:26:54 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 16:26:56 load:106] : INFO : Successfully loaded dataset of 4096 examples into memory. [2020-11-26 16:26:56 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 16:26:56 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 16:26:56 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-26 16:26:56 main:501] : INFO : Creating Model [2020-11-26 16:26:56 main:514] : INFO : Preparing config file [2020-11-26 16:26:56 main:526] : INFO : Creating new config file [2020-11-26 16:26:56 main:545] : INFO : This is a continuation WU, loading previous network [2020-11-26 16:26:56 main:566] : INFO : Loading DataLoader into Memory [2020-11-26 16:26:56 main:569] : INFO : Starting Training [2020-11-26 16:27:01 main:581] : INFO : Epoch 1 | loss: 0.0594402 | val_loss: 0.0594518 | Time: 4704.23 ms [2020-11-26 16:27:04 main:581] : INFO : Epoch 2 | loss: 0.0593922 | val_loss: 0.0594377 | Time: 3084.74 ms [2020-11-26 16:27:07 main:581] : INFO : Epoch 3 | loss: 0.0593773 | val_loss: 0.0594607 | Time: 3174.99 ms [2020-11-26 16:27:11 main:581] : INFO : Epoch 4 | loss: 0.0593948 | val_loss: 0.0594154 | Time: 3428.14 ms [2020-11-26 16:27:14 main:581] : INFO : Epoch 5 | loss: 0.0594178 | val_loss: 0.0594185 | Time: 3120.84 ms [2020-11-26 16:27:17 main:581] : INFO : Epoch 6 | loss: 0.059393 | val_loss: 0.0593988 | Time: 3039.02 ms [2020-11-26 16:27:20 main:581] : INFO : Epoch 7 | loss: 0.0594239 | val_loss: 0.0594327 | Time: 3027.13 ms [2020-11-26 16:27:23 main:581] : INFO : Epoch 8 | loss: 0.059409 | val_loss: 0.0595319 | Time: 3052.25 ms [2020-11-26 16:27:27 main:581] : INFO : Epoch 9 | loss: 0.0595553 | val_loss: 0.0595968 | Time: 4026.2 ms [2020-11-26 16:27:30 main:581] : INFO : Epoch 10 | loss: 0.0595271 | val_loss: 0.0596092 | Time: 3009.62 ms [2020-11-26 16:27:33 main:581] : INFO : Epoch 11 | loss: 0.0594837 | val_loss: 0.0595446 | Time: 3159.5 ms [2020-11-26 16:27:36 main:581] : INFO : Epoch 12 | loss: 0.0595155 | val_loss: 0.059576 | Time: 3117.35 ms [2020-11-26 16:27:39 main:581] : INFO : Epoch 13 | loss: 0.0595049 | val_loss: 0.0595704 | Time: 3066.24 ms [2020-11-26 16:27:43 main:581] : INFO : Epoch 14 | loss: 0.0594757 | val_loss: 0.0595305 | Time: 3060.71 ms [2020-11-26 16:27:46 main:581] : INFO : Epoch 15 | loss: 0.059434 | val_loss: 0.0595167 | Time: 2992.61 ms [2020-11-26 16:27:49 main:581] : INFO : Epoch 16 | loss: 0.0594021 | val_loss: 0.0595033 | Time: 2993.08 ms [2020-11-26 16:27:52 main:581] : INFO : Epoch 17 | loss: 0.0593824 | val_loss: 0.059479 | Time: 2988.64 ms [2020-11-26 16:27:54 main:581] : INFO : Epoch 18 | loss: 0.0593769 | val_loss: 0.0594904 | Time: 2962.8 ms [2020-11-26 16:27:58 main:581] : INFO : Epoch 19 | loss: 0.0593182 | val_loss: 0.0593614 | Time: 3065.83 ms [2020-11-26 16:28:01 main:581] : INFO : Epoch 20 | loss: 0.0592597 | val_loss: 0.0593533 | Time: 3242.35 ms [2020-11-26 16:28:04 main:581] : INFO : Epoch 21 | loss: 0.0592153 | val_loss: 0.0593451 | Time: 2947.57 ms [2020-11-26 16:28:07 main:581] : INFO : Epoch 22 | loss: 0.059438 | val_loss: 0.0595315 | Time: 3087.01 ms [2020-11-26 16:28:10 main:581] : INFO : Epoch 23 | loss: 0.0594683 | val_loss: 0.0595403 | Time: 3128.74 ms [2020-11-26 16:28:13 main:581] : INFO : Epoch 24 | loss: 0.0594347 | val_loss: 0.0594743 | Time: 3007.24 ms [2020-11-26 16:28:16 main:581] : INFO : Epoch 25 | loss: 0.0593193 | val_loss: 0.0594014 | Time: 3051.81 ms [2020-11-26 16:28:19 main:581] : INFO : Epoch 26 | loss: 0.0592753 | val_loss: 0.0593552 | Time: 3048.78 ms [2020-11-26 16:28:22 main:581] : INFO : Epoch 27 | loss: 0.0593392 | val_loss: 0.0595737 | Time: 2944.33 ms [2020-11-26 16:28:25 main:581] : INFO : Epoch 28 | loss: 0.0594225 | val_loss: 0.0595484 | Time: 3008.9 ms [2020-11-26 16:28:28 main:581] : INFO : Epoch 29 | loss: 0.0593988 | val_loss: 0.0595188 | Time: 2978.65 ms [2020-11-26 16:28:31 main:581] : INFO : Epoch 30 | loss: 0.0593706 | val_loss: 0.0594848 | Time: 2989.87 ms [2020-11-26 16:28:34 main:581] : INFO : Epoch 31 | loss: 0.0593359 | val_loss: 0.0594378 | Time: 3026.09 ms [2020-11-26 16:28:37 main:581] : INFO : Epoch 32 | loss: 0.0592981 | val_loss: 0.0593801 | Time: 3067.49 ms [2020-11-26 16:28:40 main:581] : INFO : Epoch 33 | loss: 0.0592634 | val_loss: 0.0593348 | Time: 2970.87 ms [2020-11-26 16:28:43 main:581] : INFO : Epoch 34 | loss: 0.0592232 | val_loss: 0.0593095 | Time: 3040.9 ms [2020-11-26 16:28:46 main:581] : INFO : Epoch 35 | loss: 0.0591798 | val_loss: 0.0592825 | Time: 2974.56 ms [2020-11-26 16:28:49 main:581] : INFO : Epoch 36 | loss: 0.0591373 | val_loss: 0.0592171 | Time: 2995.32 ms [2020-11-26 16:28:52 main:581] : INFO : Epoch 37 | loss: 0.0590925 | val_loss: 0.0591955 | Time: 2977.62 ms [2020-11-26 16:28:55 main:581] : INFO : Epoch 38 | loss: 0.0590596 | val_loss: 0.0591453 | Time: 3126.77 ms [2020-11-26 16:28:58 main:581] : INFO : Epoch 39 | loss: 0.0589975 | val_loss: 0.0590822 | Time: 3158.45 ms [2020-11-26 16:29:01 main:581] : INFO : Epoch 40 | loss: 0.0589335 | val_loss: 0.0590454 | Time: 3031.5 ms [2020-11-26 16:29:04 main:581] : INFO : Epoch 41 | loss: 0.0588715 | val_loss: 0.0589819 | Time: 3031.72 ms [2020-11-26 16:29:08 main:581] : INFO : Epoch 42 | loss: 0.0588024 | val_loss: 0.0589155 | Time: 3148.86 ms [2020-11-26 16:29:11 main:581] : INFO : Epoch 43 | loss: 0.0587226 | val_loss: 0.0588123 | Time: 2979.64 ms [2020-11-26 16:29:14 main:581] : INFO : Epoch 44 | loss: 0.0586212 | val_loss: 0.0587314 | Time: 2978.28 ms [2020-11-26 16:29:17 main:581] : INFO : Epoch 45 | loss: 0.0585426 | val_loss: 0.0586351 | Time: 2989.8 ms [2020-11-26 16:29:20 main:581] : INFO : Epoch 46 | loss: 0.0584182 | val_loss: 0.0585449 | Time: 3070.44 ms [2020-11-26 16:29:23 main:581] : INFO : Epoch 47 | loss: 0.0582697 | val_loss: 0.0584009 | Time: 3032.36 ms [2020-11-26 16:29:26 main:581] : INFO : Epoch 48 | loss: 0.0581197 | val_loss: 0.0582137 | Time: 3064.91 ms [2020-11-26 16:29:29 main:581] : INFO : Epoch 49 | loss: 0.0579295 | val_loss: 0.0579977 | Time: 3036.46 ms [2020-11-26 16:29:32 main:581] : INFO : Epoch 50 | loss: 0.0577955 | val_loss: 0.0578308 | Time: 2991.09 ms [2020-11-26 16:29:35 main:581] : INFO : Epoch 51 | loss: 0.0576529 | val_loss: 0.0576244 | Time: 3033.89 ms [2020-11-26 16:29:38 main:581] : INFO : Epoch 52 | loss: 0.057386 | val_loss: 0.0574336 | Time: 2966.39 ms [2020-11-26 16:29:41 main:581] : INFO : Epoch 53 | loss: 0.0571852 | val_loss: 0.0572098 | Time: 3095.1 ms [2020-11-26 16:29:44 main:581] : INFO : Epoch 54 | loss: 0.0569609 | val_loss: 0.0570094 | Time: 3062.85 ms [2020-11-26 16:29:47 main:581] : INFO : Epoch 55 | loss: 0.0567295 | val_loss: 0.0566789 | Time: 3042.74 ms [2020-11-26 16:29:50 main:581] : INFO : Epoch 56 | loss: 0.0565005 | val_loss: 0.0566667 | Time: 3021.87 ms [2020-11-26 16:29:53 main:581] : INFO : Epoch 57 | loss: 0.05643 | val_loss: 0.0564018 | Time: 3019.23 ms [2020-11-26 16:29:56 main:581] : INFO : Epoch 58 | loss: 0.0564101 | val_loss: 0.056448 | Time: 2979.67 ms [2020-11-26 16:29:59 main:581] : INFO : Epoch 59 | loss: 0.0562717 | val_loss: 0.056218 | Time: 3018.77 ms [2020-11-26 16:30:02 main:581] : INFO : Epoch 60 | loss: 0.0559949 | val_loss: 0.055894 | Time: 2982.98 ms [2020-11-26 16:30:05 main:581] : INFO : Epoch 61 | loss: 0.0557143 | val_loss: 0.0556675 | Time: 3070.54 ms [2020-11-26 16:30:08 main:581] : INFO : Epoch 62 | loss: 0.0555179 | val_loss: 0.055549 | Time: 2999.86 ms [2020-11-26 16:30:11 main:581] : INFO : Epoch 63 | loss: 0.0554054 | val_loss: 0.0554895 | Time: 3019.45 ms [2020-11-26 16:30:14 main:581] : INFO : Epoch 64 | loss: 0.055125 | val_loss: 0.0550502 | Time: 3065.19 ms [2020-11-26 16:30:17 main:581] : INFO : Epoch 65 | loss: 0.0549758 | val_loss: 0.0548446 | Time: 3000.5 ms [2020-11-26 16:30:20 main:581] : INFO : Epoch 66 | loss: 0.0548512 | val_loss: 0.0550721 | Time: 3094.94 ms [2020-11-26 16:30:23 main:581] : INFO : Epoch 67 | loss: 0.0550624 | val_loss: 0.0550054 | Time: 2991.98 ms [2020-11-26 16:30:26 main:581] : INFO : Epoch 68 | loss: 0.0549152 | val_loss: 0.0549407 | Time: 3024.84 ms [2020-11-26 16:30:29 main:581] : INFO : Epoch 69 | loss: 0.0550913 | val_loss: 0.0553402 | Time: 3064.27 ms [2020-11-26 16:30:32 main:581] : INFO : Epoch 70 | loss: 0.0552735 | val_loss: 0.0552031 | Time: 3083 ms [2020-11-26 16:30:35 main:581] : INFO : Epoch 71 | loss: 0.055082 | val_loss: 0.0550392 | Time: 2982.95 ms [2020-11-26 16:30:38 main:581] : INFO : Epoch 72 | loss: 0.0550782 | val_loss: 0.0552572 | Time: 2957.32 ms [2020-11-26 16:30:42 main:581] : INFO : Epoch 73 | loss: 0.0550588 | val_loss: 0.0550904 | Time: 3243.07 ms [2020-11-26 16:30:45 main:581] : INFO : Epoch 74 | loss: 0.0549247 | val_loss: 0.0550152 | Time: 3129.81 ms [2020-11-26 16:30:48 main:581] : INFO : Epoch 75 | loss: 0.0547814 | val_loss: 0.0549805 | Time: 3109.93 ms [2020-11-26 16:30:51 main:581] : INFO : Epoch 76 | loss: 0.0546973 | val_loss: 0.0548416 | Time: 2976.88 ms [2020-11-26 16:30:54 main:581] : INFO : Epoch 77 | loss: 0.0546566 | val_loss: 0.0546292 | Time: 3057.06 ms [2020-11-26 16:30:57 main:581] : INFO : Epoch 78 | loss: 0.0545032 | val_loss: 0.0547198 | Time: 3098.88 ms [2020-11-26 16:31:00 main:581] : INFO : Epoch 79 | loss: 0.0544184 | val_loss: 0.0543889 | Time: 2983.62 ms [2020-11-26 16:31:03 main:581] : INFO : Epoch 80 | loss: 0.0544672 | val_loss: 0.0546261 | Time: 3046.84 ms [2020-11-26 16:31:06 main:581] : INFO : Epoch 81 | loss: 0.0545335 | val_loss: 0.0548079 | Time: 3150.62 ms [2020-11-26 16:31:09 main:581] : INFO : Epoch 82 | loss: 0.0547446 | val_loss: 0.054831 | Time: 2955.43 ms [2020-11-26 16:31:12 main:581] : INFO : Epoch 83 | loss: 0.0548399 | val_loss: 0.0550934 | Time: 2960.69 ms [2020-11-26 16:31:15 main:581] : INFO : Epoch 84 | loss: 0.0552536 | val_loss: 0.0555413 | Time: 3057.12 ms [2020-11-26 16:31:18 main:581] : INFO : Epoch 85 | loss: 0.0554856 | val_loss: 0.0554346 | Time: 2989.78 ms [2020-11-26 16:31:21 main:581] : INFO : Epoch 86 | loss: 0.0555317 | val_loss: 0.0556489 | Time: 3045.1 ms [2020-11-26 16:31:24 main:581] : INFO : Epoch 87 | loss: 0.0557809 | val_loss: 0.0559983 | Time: 2982.42 ms [2020-11-26 16:31:27 main:581] : INFO : Epoch 88 | loss: 0.0559752 | val_loss: 0.0559833 | Time: 2960.06 ms [2020-11-26 16:31:30 main:581] : INFO : Epoch 89 | loss: 0.0559187 | val_loss: 0.0558667 | Time: 2967.03 ms [2020-11-26 16:31:33 main:581] : INFO : Epoch 90 | loss: 0.0557629 | val_loss: 0.0557308 | Time: 2964.43 ms [2020-11-26 16:31:36 main:581] : INFO : Epoch 91 | loss: 0.055613 | val_loss: 0.0556011 | Time: 3112.67 ms [2020-11-26 16:31:39 main:581] : INFO : Epoch 92 | loss: 0.0554884 | val_loss: 0.0554704 | Time: 3006.29 ms [2020-11-26 16:31:42 main:581] : INFO : Epoch 93 | loss: 0.0553478 | val_loss: 0.0553123 | Time: 2958.02 ms [2020-11-26 16:31:45 main:581] : INFO : Epoch 94 | loss: 0.055196 | val_loss: 0.0552065 | Time: 2957.31 ms [2020-11-26 16:31:48 main:581] : INFO : Epoch 95 | loss: 0.0551279 | val_loss: 0.055191 | Time: 3197.59 ms [2020-11-26 16:31:51 main:581] : INFO : Epoch 96 | loss: 0.0550355 | val_loss: 0.0549725 | Time: 3030.14 ms [2020-11-26 16:31:54 main:581] : INFO : Epoch 97 | loss: 0.0549665 | val_loss: 0.0550059 | Time: 3046.15 ms [2020-11-26 16:31:57 main:581] : INFO : Epoch 98 | loss: 0.0551407 | val_loss: 0.0553411 | Time: 2977.2 ms [2020-11-26 16:32:00 main:581] : INFO : Epoch 99 | loss: 0.0553879 | val_loss: 0.0553367 | Time: 2970.45 ms [2020-11-26 16:32:03 main:581] : INFO : Epoch 100 | loss: 0.0552873 | val_loss: 0.0553524 | Time: 2951.55 ms [2020-11-26 16:32:06 main:581] : INFO : Epoch 101 | loss: 0.0551798 | val_loss: 0.0552955 | Time: 2969.37 ms [2020-11-26 16:32:09 main:581] : INFO : Epoch 102 | loss: 0.0551205 | val_loss: 0.0552169 | Time: 2981.41 ms [2020-11-26 16:32:12 main:581] : INFO : Epoch 103 | loss: 0.0549668 | val_loss: 0.0550952 | Time: 3088.69 ms [2020-11-26 16:32:15 main:581] : INFO : Epoch 104 | loss: 0.0549446 | val_loss: 0.0550742 | Time: 3157.41 ms [2020-11-26 16:32:18 main:581] : INFO : Epoch 105 | loss: 0.0549096 | val_loss: 0.0552708 | Time: 2981.07 ms [2020-11-26 16:32:21 main:581] : INFO : Epoch 106 | loss: 0.0552546 | val_loss: 0.0549622 | Time: 3114.28 ms [2020-11-26 16:32:24 main:581] : INFO : Epoch 107 | loss: 0.0548932 | val_loss: 0.0548515 | Time: 2976.03 ms [2020-11-26 16:32:27 main:581] : INFO : Epoch 108 | loss: 0.054716 | val_loss: 0.0546274 | Time: 3000.16 ms [2020-11-26 16:32:30 main:581] : INFO : Epoch 109 | loss: 0.0545525 | val_loss: 0.0545395 | Time: 2945.53 ms [2020-11-26 16:32:33 main:581] : INFO : Epoch 110 | loss: 0.0544141 | val_loss: 0.0545353 | Time: 2968.06 ms [2020-11-26 16:32:36 main:581] : INFO : Epoch 111 | loss: 0.054558 | val_loss: 0.0544356 | Time: 2952.9 ms [2020-11-26 16:32:39 main:581] : INFO : Epoch 112 | loss: 0.0544873 | val_loss: 0.0543266 | Time: 3126.04 ms [2020-11-26 16:32:42 main:581] : INFO : Epoch 113 | loss: 0.0544725 | val_loss: 0.0545758 | Time: 2994.97 ms [2020-11-26 16:32:46 main:581] : INFO : Epoch 114 | loss: 0.0544638 | val_loss: 0.0542159 | Time: 3212.57 ms [2020-11-26 16:32:49 main:581] : INFO : Epoch 115 | loss: 0.0544053 | val_loss: 0.054297 | Time: 3095.13 ms [2020-11-26 16:32:52 main:581] : INFO : Epoch 116 | loss: 0.0542652 | val_loss: 0.0541262 | Time: 3126.04 ms [2020-11-26 16:32:55 main:581] : INFO : Epoch 117 | loss: 0.0542676 | val_loss: 0.054191 | Time: 3062.76 ms [2020-11-26 16:32:58 main:581] : INFO : Epoch 118 | loss: 0.0540115 | val_loss: 0.0537732 | Time: 3067.65 ms [2020-11-26 16:33:01 main:581] : INFO : Epoch 119 | loss: 0.053804 | val_loss: 0.0538857 | Time: 3115.06 ms [2020-11-26 16:33:04 main:581] : INFO : Epoch 120 | loss: 0.0539233 | val_loss: 0.0540424 | Time: 3030.64 ms [2020-11-26 16:33:07 main:581] : INFO : Epoch 121 | loss: 0.0541455 | val_loss: 0.0544989 | Time: 3225.91 ms [2020-11-26 16:33:10 main:581] : INFO : Epoch 122 | loss: 0.0543983 | val_loss: 0.0546223 | Time: 2985.41 ms [2020-11-26 16:33:14 main:581] : INFO : Epoch 123 | loss: 0.0550324 | val_loss: 0.0551912 | Time: 3152.54 ms [2020-11-26 16:33:17 main:581] : INFO : Epoch 124 | loss: 0.0552198 | val_loss: 0.0550803 | Time: 3058.85 ms [2020-11-26 16:33:20 main:581] : INFO : Epoch 125 | loss: 0.0550883 | val_loss: 0.0549868 | Time: 3032.63 ms [2020-11-26 16:33:23 main:581] : INFO : Epoch 126 | loss: 0.0549526 | val_loss: 0.0548666 | Time: 3036.44 ms [2020-11-26 16:33:26 main:581] : INFO : Epoch 127 | loss: 0.0548275 | val_loss: 0.0547432 | Time: 2935.86 ms [2020-11-26 16:33:29 main:581] : INFO : Epoch 128 | loss: 0.054712 | val_loss: 0.0546813 | Time: 2951.19 ms [2020-11-26 16:33:32 main:581] : INFO : Epoch 129 | loss: 0.0549182 | val_loss: 0.0553551 | Time: 3099.31 ms [2020-11-26 16:33:35 main:581] : INFO : Epoch 130 | loss: 0.0554735 | val_loss: 0.0558066 | Time: 3018.18 ms [2020-11-26 16:33:38 main:581] : INFO : Epoch 131 | loss: 0.0557064 | val_loss: 0.0556924 | Time: 3033.02 ms [2020-11-26 16:33:41 main:581] : INFO : Epoch 132 | loss: 0.0555569 | val_loss: 0.0556356 | Time: 2996.75 ms [2020-11-26 16:33:44 main:581] : INFO : Epoch 133 | loss: 0.0555654 | val_loss: 0.0555505 | Time: 2991.82 ms [2020-11-26 16:33:47 main:581] : INFO : Epoch 134 | loss: 0.0555857 | val_loss: 0.0555592 | Time: 3000.07 ms [2020-11-26 16:33:50 main:581] : INFO : Epoch 135 | loss: 0.0556839 | val_loss: 0.0556959 | Time: 2992.08 ms [2020-11-26 16:33:53 main:581] : INFO : Epoch 136 | loss: 0.0557252 | val_loss: 0.0556408 | Time: 3000.23 ms [2020-11-26 16:33:56 main:581] : INFO : Epoch 137 | loss: 0.0557386 | val_loss: 0.0557685 | Time: 3152.25 ms [2020-11-26 16:33:59 main:581] : INFO : Epoch 138 | loss: 0.0558313 | val_loss: 0.0559127 | Time: 2946.1 ms [2020-11-26 16:34:02 main:581] : INFO : Epoch 139 | loss: 0.0560889 | val_loss: 0.0562219 | Time: 2945.15 ms [2020-11-26 16:34:05 main:581] : INFO : Epoch 140 | loss: 0.0562988 | val_loss: 0.0564264 | Time: 2942.87 ms [2020-11-26 16:34:08 main:581] : INFO : Epoch 141 | loss: 0.0562437 | val_loss: 0.0562938 | Time: 3047.81 ms [2020-11-26 16:34:11 main:581] : INFO : Epoch 142 | loss: 0.0562258 | val_loss: 0.0563832 | Time: 3062.75 ms [2020-11-26 16:34:14 main:581] : INFO : Epoch 143 | loss: 0.0562956 | val_loss: 0.0562656 | Time: 2966.07 ms [2020-11-26 16:34:17 main:581] : INFO : Epoch 144 | loss: 0.056344 | val_loss: 0.0564103 | Time: 2968.57 ms [2020-11-26 16:34:20 main:581] : INFO : Epoch 145 | loss: 0.0564361 | val_loss: 0.0566179 | Time: 3143.4 ms [2020-11-26 16:34:23 main:581] : INFO : Epoch 146 | loss: 0.0566472 | val_loss: 0.0567801 | Time: 3138.09 ms [2020-11-26 16:34:26 main:581] : INFO : Epoch 147 | loss: 0.0570483 | val_loss: 0.0576362 | Time: 2958.22 ms [2020-11-26 16:34:29 main:581] : INFO : Epoch 148 | loss: 0.0578186 | val_loss: 0.0578941 | Time: 2946.72 ms [2020-11-26 16:34:32 main:581] : INFO : Epoch 149 | loss: 0.0579784 | val_loss: 0.0580403 | Time: 2951.21 ms [2020-11-26 16:34:35 main:581] : INFO : Epoch 150 | loss: 0.0579499 | val_loss: 0.0578161 | Time: 3009.71 ms [2020-11-26 16:34:38 main:581] : INFO : Epoch 151 | loss: 0.0577929 | val_loss: 0.0577591 | Time: 3022.83 ms [2020-11-26 16:34:41 main:581] : INFO : Epoch 152 | loss: 0.0576838 | val_loss: 0.0576975 | Time: 3064.23 ms [2020-11-26 16:34:44 main:581] : INFO : Epoch 153 | loss: 0.0576999 | val_loss: 0.0577049 | Time: 3054.83 ms [2020-11-26 16:34:47 main:581] : INFO : Epoch 154 | loss: 0.0577412 | val_loss: 0.0579096 | Time: 3082.99 ms [2020-11-26 16:34:50 main:581] : INFO : Epoch 155 | loss: 0.0579575 | val_loss: 0.0580241 | Time: 3040.23 ms [2020-11-26 16:34:53 main:581] : INFO : Epoch 156 | loss: 0.0580421 | val_loss: 0.0580759 | Time: 2986.73 ms [2020-11-26 16:34:56 main:581] : INFO : Epoch 157 | loss: 0.0582261 | val_loss: 0.0582158 | Time: 3052.29 ms [2020-11-26 16:34:59 main:581] : INFO : Epoch 158 | loss: 0.0580948 | val_loss: 0.0580659 | Time: 2978.74 ms [2020-11-26 16:35:02 main:581] : INFO : Epoch 159 | loss: 0.0580883 | val_loss: 0.0580897 | Time: 3048.87 ms [2020-11-26 16:35:05 main:581] : INFO : Epoch 160 | loss: 0.0580902 | val_loss: 0.0580621 | Time: 3271.3 ms [2020-11-26 16:35:09 main:581] : INFO : Epoch 161 | loss: 0.0580989 | val_loss: 0.0582364 | Time: 3066.66 ms [2020-11-26 16:35:12 main:581] : INFO : Epoch 162 | loss: 0.0582602 | val_loss: 0.0582811 | Time: 2996.86 ms [2020-11-26 16:35:14 main:581] : INFO : Epoch 163 | loss: 0.0582723 | val_loss: 0.0582765 | Time: 2980.6 ms [2020-11-26 16:35:18 main:581] : INFO : Epoch 164 | loss: 0.0582777 | val_loss: 0.0582745 | Time: 3062.9 ms [2020-11-26 16:35:21 main:581] : INFO : Epoch 165 | loss: 0.0582891 | val_loss: 0.0582887 | Time: 3084.03 ms [2020-11-26 16:35:24 main:581] : INFO : Epoch 166 | loss: 0.0582865 | val_loss: 0.0582846 | Time: 3020.37 ms [2020-11-26 16:35:27 main:581] : INFO : Epoch 167 | loss: 0.0582995 | val_loss: 0.0582884 | Time: 3202.83 ms [2020-11-26 16:35:30 main:581] : INFO : Epoch 168 | loss: 0.0583001 | val_loss: 0.0583026 | Time: 2976.86 ms [2020-11-26 16:35:33 main:581] : INFO : Epoch 169 | loss: 0.0582692 | val_loss: 0.0581985 | Time: 2999.96 ms [2020-11-26 16:35:36 main:581] : INFO : Epoch 170 | loss: 0.0582487 | val_loss: 0.0581993 | Time: 3031.66 ms [2020-11-26 16:35:39 main:581] : INFO : Epoch 171 | loss: 0.0582465 | val_loss: 0.0582248 | Time: 3011.33 ms [2020-11-26 16:35:42 main:581] : INFO : Epoch 172 | loss: 0.0583104 | val_loss: 0.0582892 | Time: 3040.92 ms [2020-11-26 16:35:45 main:581] : INFO : Epoch 173 | loss: 0.0583203 | val_loss: 0.0582871 | Time: 3011.82 ms [2020-11-26 16:35:48 main:581] : INFO : Epoch 174 | loss: 0.0583443 | val_loss: 0.0583158 | Time: 3227.33 ms [2020-11-26 16:35:51 main:581] : INFO : Epoch 175 | loss: 0.0583539 | val_loss: 0.0583614 | Time: 3137.15 ms [2020-11-26 16:35:54 main:581] : INFO : Epoch 176 | loss: 0.058366 | val_loss: 0.058315 | Time: 3052.59 ms [2020-11-26 16:35:57 main:581] : INFO : Epoch 177 | loss: 0.0583617 | val_loss: 0.0583216 | Time: 3127.68 ms [2020-11-26 16:36:01 main:581] : INFO : Epoch 178 | loss: 0.0583682 | val_loss: 0.0582587 | Time: 3042.72 ms [2020-11-26 16:36:04 main:581] : INFO : Epoch 179 | loss: 0.0582773 | val_loss: 0.0582545 | Time: 3028.33 ms [2020-11-26 16:36:07 main:581] : INFO : Epoch 180 | loss: 0.0582656 | val_loss: 0.0581767 | Time: 2959.07 ms [2020-11-26 16:36:10 main:581] : INFO : Epoch 181 | loss: 0.0582528 | val_loss: 0.0582425 | Time: 2999.94 ms [2020-11-26 16:36:13 main:581] : INFO : Epoch 182 | loss: 0.0582671 | val_loss: 0.058275 | Time: 3023.52 ms [2020-11-26 16:36:16 main:581] : INFO : Epoch 183 | loss: 0.0582818 | val_loss: 0.0582591 | Time: 3072.55 ms [2020-11-26 16:36:19 main:581] : INFO : Epoch 184 | loss: 0.058292 | val_loss: 0.0582566 | Time: 3128.21 ms [2020-11-26 16:36:22 main:581] : INFO : Epoch 185 | loss: 0.0582837 | val_loss: 0.0582523 | Time: 3061.33 ms [2020-11-26 16:36:25 main:581] : INFO : Epoch 186 | loss: 0.0582913 | val_loss: 0.0583224 | Time: 2998.71 ms [2020-11-26 16:36:28 main:581] : INFO : Epoch 187 | loss: 0.0583457 | val_loss: 0.0583297 | Time: 3172.18 ms [2020-11-26 16:36:31 main:581] : INFO : Epoch 188 | loss: 0.0583187 | val_loss: 0.058299 | Time: 3073.62 ms [2020-11-26 16:36:34 main:581] : INFO : Epoch 189 | loss: 0.0583126 | val_loss: 0.0582923 | Time: 2992.4 ms [2020-11-26 16:36:37 main:581] : INFO : Epoch 190 | loss: 0.0583337 | val_loss: 0.0583101 | Time: 3033.36 ms [2020-11-26 16:36:40 main:581] : INFO : Epoch 191 | loss: 0.058325 | val_loss: 0.058328 | Time: 2971.56 ms [2020-11-26 16:36:43 main:581] : INFO : Epoch 192 | loss: 0.0584063 | val_loss: 0.0584598 | Time: 3055.49 ms [2020-11-26 16:36:43 main:604] : INFO : Saving trained model to model-final.pt, val_loss 0.0584598 [2020-11-26 16:36:43 main:610] : INFO : Saving end state to config to file [2020-11-26 16:36:43 main:615] : INFO : Success, exiting.. 16:36:43 (15351): 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)