Task 3076197
| Name | rand_automata_0025-1606117988-22454-100_0 |
| Workunit | 1404261 |
| Created | 26 Nov 2020, 23:42:25 UTC |
| Sent | 26 Nov 2020, 23:52:11 UTC |
| Report deadline | 3 Dec 2020, 23:52:11 UTC |
| Received | 27 Nov 2020, 0:02:36 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 4754 |
| Run time | 9 min 55 sec |
| CPU time | 9 min 50 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 18:52:30 main:442] : INFO : Set logging level to 1 [2020-11-26 18:52:30 main:448] : INFO : Running in BOINC Client mode [2020-11-26 18:52:30 main:451] : INFO : Resolving all filenames [2020-11-26 18:52:30 main:459] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-train-val-dataset.hdf5 (exists = 1) [2020-11-26 18:52:30 main:459] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-1606117988-22454-100_0_r714296714_1 (exists = 0) [2020-11-26 18:52:30 main:459] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-1606117988-22454-100_0_r714296714_0 (exists = 0) [2020-11-26 18:52:30 main:459] : INFO : Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-1606117988-22454-100 (exists = 1) [2020-11-26 18:52:30 main:459] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-26 18:52:30 main:479] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/rand_automata_0025-train-val-dataset.hdf5 [2020-11-26 18:52:30 main:481] : INFO : Configuration: [2020-11-26 18:52:30 main:482] : INFO : Model type: LSTM [2020-11-26 18:52:30 main:483] : INFO : Validation Loss Threshold: 0.0001 [2020-11-26 18:52:30 main:484] : INFO : Max Epochs: 192 [2020-11-26 18:52:30 main:485] : INFO : Batch Size: 32 [2020-11-26 18:52:30 main:486] : INFO : Learning Rate: 0.001 [2020-11-26 18:52:30 main:487] : INFO : Patience: 10 [2020-11-26 18:52:30 main:488] : INFO : Hidden Width: 64 [2020-11-26 18:52:30 main:489] : INFO : # Recurrent Layers: 4 [2020-11-26 18:52:30 main:490] : INFO : # Backend Layers: 2 [2020-11-26 18:52:30 main:491] : INFO : # Threads: 1 [2020-11-26 18:52:30 main:493] : INFO : Preparing Dataset [2020-11-26 18:52:30 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 18:52:30 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 18:52:32 load:106] : INFO : Successfully loaded dataset of 4096 examples into memory. [2020-11-26 18:52:32 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 18:52:32 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 18:52:32 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-26 18:52:32 main:501] : INFO : Creating Model [2020-11-26 18:52:32 main:514] : INFO : Preparing config file [2020-11-26 18:52:32 main:526] : INFO : Creating new config file [2020-11-26 18:52:32 main:545] : INFO : This is a continuation WU, loading previous network [2020-11-26 18:52:33 main:566] : INFO : Loading DataLoader into Memory [2020-11-26 18:52:33 main:569] : INFO : Starting Training [2020-11-26 18:52:40 main:581] : INFO : Epoch 1 | loss: 0.0543777 | val_loss: 0.0546279 | Time: 7673.93 ms [2020-11-26 18:52:43 main:581] : INFO : Epoch 2 | loss: 0.0543335 | val_loss: 0.0545503 | Time: 3007.98 ms [2020-11-26 18:52:46 main:581] : INFO : Epoch 3 | loss: 0.0542721 | val_loss: 0.0544305 | Time: 3129.33 ms [2020-11-26 18:52:50 main:581] : INFO : Epoch 4 | loss: 0.0542793 | val_loss: 0.0545171 | Time: 3183.19 ms [2020-11-26 18:52:53 main:581] : INFO : Epoch 5 | loss: 0.0542463 | val_loss: 0.0543718 | Time: 2984.1 ms [2020-11-26 18:52:56 main:581] : INFO : Epoch 6 | loss: 0.0541509 | val_loss: 0.0543046 | Time: 2990.61 ms [2020-11-26 18:52:59 main:581] : INFO : Epoch 7 | loss: 0.0540936 | val_loss: 0.05422 | Time: 3051.54 ms [2020-11-26 18:53:02 main:581] : INFO : Epoch 8 | loss: 0.0540336 | val_loss: 0.0541371 | Time: 3039.76 ms [2020-11-26 18:53:05 main:581] : INFO : Epoch 9 | loss: 0.0540293 | val_loss: 0.0540172 | Time: 3026.04 ms [2020-11-26 18:53:08 main:581] : INFO : Epoch 10 | loss: 0.0538028 | val_loss: 0.0537504 | Time: 3050.1 ms [2020-11-26 18:53:11 main:581] : INFO : Epoch 11 | loss: 0.0539607 | val_loss: 0.0539833 | Time: 3046.95 ms [2020-11-26 18:53:14 main:581] : INFO : Epoch 12 | loss: 0.053877 | val_loss: 0.053888 | Time: 2985.34 ms [2020-11-26 18:53:17 main:581] : INFO : Epoch 13 | loss: 0.0538319 | val_loss: 0.053843 | Time: 3013.67 ms [2020-11-26 18:53:20 main:581] : INFO : Epoch 14 | loss: 0.0536822 | val_loss: 0.0537012 | Time: 3020.75 ms [2020-11-26 18:53:23 main:581] : INFO : Epoch 15 | loss: 0.0536332 | val_loss: 0.0537871 | Time: 2992.03 ms [2020-11-26 18:53:26 main:581] : INFO : Epoch 16 | loss: 0.0537267 | val_loss: 0.0536706 | Time: 3082.68 ms [2020-11-26 18:53:29 main:581] : INFO : Epoch 17 | loss: 0.0536279 | val_loss: 0.0535405 | Time: 2987.84 ms [2020-11-26 18:53:32 main:581] : INFO : Epoch 18 | loss: 0.0533959 | val_loss: 0.053297 | Time: 2976.3 ms [2020-11-26 18:53:35 main:581] : INFO : Epoch 19 | loss: 0.0532924 | val_loss: 0.0531724 | Time: 3202.64 ms [2020-11-26 18:53:38 main:581] : INFO : Epoch 20 | loss: 0.0532523 | val_loss: 0.0533181 | Time: 2978.04 ms [2020-11-26 18:53:41 main:581] : INFO : Epoch 21 | loss: 0.0532491 | val_loss: 0.0532053 | Time: 3118.83 ms [2020-11-26 18:53:44 main:581] : INFO : Epoch 22 | loss: 0.0531311 | val_loss: 0.0530537 | Time: 3129.25 ms [2020-11-26 18:53:48 main:581] : INFO : Epoch 23 | loss: 0.0529275 | val_loss: 0.0529001 | Time: 3102.41 ms [2020-11-26 18:53:51 main:581] : INFO : Epoch 24 | loss: 0.0527721 | val_loss: 0.0527272 | Time: 3049.57 ms [2020-11-26 18:53:54 main:581] : INFO : Epoch 25 | loss: 0.0526407 | val_loss: 0.052723 | Time: 3022.36 ms [2020-11-26 18:53:57 main:581] : INFO : Epoch 26 | loss: 0.0525835 | val_loss: 0.0525419 | Time: 3121.8 ms [2020-11-26 18:54:00 main:581] : INFO : Epoch 27 | loss: 0.0526804 | val_loss: 0.0527147 | Time: 3199.84 ms [2020-11-26 18:54:03 main:581] : INFO : Epoch 28 | loss: 0.0527625 | val_loss: 0.0526121 | Time: 3070.2 ms [2020-11-26 18:54:06 main:581] : INFO : Epoch 29 | loss: 0.0523966 | val_loss: 0.05224 | Time: 2957.27 ms [2020-11-26 18:54:09 main:581] : INFO : Epoch 30 | loss: 0.0522069 | val_loss: 0.0520775 | Time: 3031.57 ms [2020-11-26 18:54:12 main:581] : INFO : Epoch 31 | loss: 0.0521326 | val_loss: 0.05228 | Time: 3039.56 ms [2020-11-26 18:54:15 main:581] : INFO : Epoch 32 | loss: 0.0520432 | val_loss: 0.052227 | Time: 2980.52 ms [2020-11-26 18:54:18 main:581] : INFO : Epoch 33 | loss: 0.0520018 | val_loss: 0.0519967 | Time: 3057.36 ms [2020-11-26 18:54:21 main:581] : INFO : Epoch 34 | loss: 0.0520519 | val_loss: 0.052597 | Time: 3080.82 ms [2020-11-26 18:54:24 main:581] : INFO : Epoch 35 | loss: 0.0536007 | val_loss: 0.054119 | Time: 3016.15 ms [2020-11-26 18:54:27 main:581] : INFO : Epoch 36 | loss: 0.0541654 | val_loss: 0.0540501 | Time: 3189.78 ms [2020-11-26 18:54:30 main:581] : INFO : Epoch 37 | loss: 0.0540441 | val_loss: 0.0540352 | Time: 2942.46 ms [2020-11-26 18:54:33 main:581] : INFO : Epoch 38 | loss: 0.0540839 | val_loss: 0.0540492 | Time: 3187.11 ms [2020-11-26 18:54:37 main:581] : INFO : Epoch 39 | loss: 0.0540105 | val_loss: 0.0538343 | Time: 3069.08 ms [2020-11-26 18:54:40 main:581] : INFO : Epoch 40 | loss: 0.0538224 | val_loss: 0.0539603 | Time: 3076.95 ms [2020-11-26 18:54:43 main:581] : INFO : Epoch 41 | loss: 0.0538449 | val_loss: 0.0537629 | Time: 2972.83 ms [2020-11-26 18:54:46 main:581] : INFO : Epoch 42 | loss: 0.0537799 | val_loss: 0.0538349 | Time: 2990.11 ms [2020-11-26 18:54:49 main:581] : INFO : Epoch 43 | loss: 0.0537716 | val_loss: 0.0538328 | Time: 3122.99 ms [2020-11-26 18:54:52 main:581] : INFO : Epoch 44 | loss: 0.0538096 | val_loss: 0.0541073 | Time: 3110.17 ms [2020-11-26 18:54:55 main:581] : INFO : Epoch 45 | loss: 0.0539767 | val_loss: 0.0540372 | Time: 3064.25 ms [2020-11-26 18:54:58 main:581] : INFO : Epoch 46 | loss: 0.053772 | val_loss: 0.0537793 | Time: 3018.53 ms [2020-11-26 18:55:01 main:581] : INFO : Epoch 47 | loss: 0.0537769 | val_loss: 0.0538705 | Time: 3054.59 ms [2020-11-26 18:55:04 main:581] : INFO : Epoch 48 | loss: 0.0537632 | val_loss: 0.0539229 | Time: 3171.6 ms [2020-11-26 18:55:07 main:581] : INFO : Epoch 49 | loss: 0.0537082 | val_loss: 0.0539457 | Time: 2967.2 ms [2020-11-26 18:55:10 main:581] : INFO : Epoch 50 | loss: 0.0537369 | val_loss: 0.0539464 | Time: 3086.4 ms [2020-11-26 18:55:13 main:581] : INFO : Epoch 51 | loss: 0.0539166 | val_loss: 0.0539295 | Time: 3157.95 ms [2020-11-26 18:55:16 main:581] : INFO : Epoch 52 | loss: 0.0538074 | val_loss: 0.0539726 | Time: 3142.68 ms [2020-11-26 18:55:20 main:581] : INFO : Epoch 53 | loss: 0.0538368 | val_loss: 0.0539741 | Time: 3182.19 ms [2020-11-26 18:55:23 main:581] : INFO : Epoch 54 | loss: 0.0538051 | val_loss: 0.0540002 | Time: 3050.72 ms [2020-11-26 18:55:26 main:581] : INFO : Epoch 55 | loss: 0.0537701 | val_loss: 0.0539076 | Time: 3020.1 ms [2020-11-26 18:55:29 main:581] : INFO : Epoch 56 | loss: 0.0536705 | val_loss: 0.0537686 | Time: 2962.15 ms [2020-11-26 18:55:32 main:581] : INFO : Epoch 57 | loss: 0.0535535 | val_loss: 0.0536778 | Time: 3049.08 ms [2020-11-26 18:55:35 main:581] : INFO : Epoch 58 | loss: 0.0535331 | val_loss: 0.0537693 | Time: 3109.22 ms [2020-11-26 18:55:38 main:581] : INFO : Epoch 59 | loss: 0.053536 | val_loss: 0.0537158 | Time: 3025.47 ms [2020-11-26 18:55:41 main:581] : INFO : Epoch 60 | loss: 0.0533049 | val_loss: 0.0535441 | Time: 3049.77 ms [2020-11-26 18:55:44 main:581] : INFO : Epoch 61 | loss: 0.0531861 | val_loss: 0.0534831 | Time: 3067.23 ms [2020-11-26 18:55:47 main:581] : INFO : Epoch 62 | loss: 0.0532105 | val_loss: 0.0532715 | Time: 2991.08 ms [2020-11-26 18:55:50 main:581] : INFO : Epoch 63 | loss: 0.0531962 | val_loss: 0.0534682 | Time: 3024.05 ms [2020-11-26 18:55:53 main:581] : INFO : Epoch 64 | loss: 0.0532035 | val_loss: 0.0534505 | Time: 2966.24 ms [2020-11-26 18:55:56 main:581] : INFO : Epoch 65 | loss: 0.0530732 | val_loss: 0.0532802 | Time: 3001.71 ms [2020-11-26 18:55:59 main:581] : INFO : Epoch 66 | loss: 0.0530744 | val_loss: 0.0536986 | Time: 2994.93 ms [2020-11-26 18:56:02 main:581] : INFO : Epoch 67 | loss: 0.0534097 | val_loss: 0.0536895 | Time: 2995.75 ms [2020-11-26 18:56:05 main:581] : INFO : Epoch 68 | loss: 0.0535171 | val_loss: 0.054067 | Time: 2999.47 ms [2020-11-26 18:56:08 main:581] : INFO : Epoch 69 | loss: 0.0538224 | val_loss: 0.0540173 | Time: 2947.46 ms [2020-11-26 18:56:11 main:581] : INFO : Epoch 70 | loss: 0.0537335 | val_loss: 0.0538633 | Time: 2987.88 ms [2020-11-26 18:56:14 main:581] : INFO : Epoch 71 | loss: 0.05345 | val_loss: 0.0536377 | Time: 3063.14 ms [2020-11-26 18:56:17 main:581] : INFO : Epoch 72 | loss: 0.0534008 | val_loss: 0.0536506 | Time: 3049.58 ms [2020-11-26 18:56:20 main:581] : INFO : Epoch 73 | loss: 0.0533369 | val_loss: 0.0536664 | Time: 2999.8 ms [2020-11-26 18:56:23 main:581] : INFO : Epoch 74 | loss: 0.0538656 | val_loss: 0.0540109 | Time: 2949.99 ms [2020-11-26 18:56:26 main:581] : INFO : Epoch 75 | loss: 0.0537152 | val_loss: 0.0539007 | Time: 3030.24 ms [2020-11-26 18:56:29 main:581] : INFO : Epoch 76 | loss: 0.0535681 | val_loss: 0.0539968 | Time: 2995.33 ms [2020-11-26 18:56:32 main:581] : INFO : Epoch 77 | loss: 0.0535347 | val_loss: 0.0537403 | Time: 3012.85 ms [2020-11-26 18:56:35 main:581] : INFO : Epoch 78 | loss: 0.0535801 | val_loss: 0.0539921 | Time: 2957.51 ms [2020-11-26 18:56:38 main:581] : INFO : Epoch 79 | loss: 0.0536942 | val_loss: 0.0537093 | Time: 3031.41 ms [2020-11-26 18:56:41 main:581] : INFO : Epoch 80 | loss: 0.0535043 | val_loss: 0.0533563 | Time: 2958.86 ms [2020-11-26 18:56:44 main:581] : INFO : Epoch 81 | loss: 0.0533418 | val_loss: 0.0532903 | Time: 2972.58 ms [2020-11-26 18:56:47 main:581] : INFO : Epoch 82 | loss: 0.0533068 | val_loss: 0.0533232 | Time: 3024.77 ms [2020-11-26 18:56:50 main:581] : INFO : Epoch 83 | loss: 0.0532867 | val_loss: 0.0532601 | Time: 3002.47 ms [2020-11-26 18:56:53 main:581] : INFO : Epoch 84 | loss: 0.0531784 | val_loss: 0.0534663 | Time: 3139.71 ms [2020-11-26 18:56:56 main:581] : INFO : Epoch 85 | loss: 0.0532369 | val_loss: 0.0534081 | Time: 3034.59 ms [2020-11-26 18:56:59 main:581] : INFO : Epoch 86 | loss: 0.0531684 | val_loss: 0.0533002 | Time: 3099.91 ms [2020-11-26 18:57:02 main:581] : INFO : Epoch 87 | loss: 0.0532246 | val_loss: 0.0533586 | Time: 3053.29 ms [2020-11-26 18:57:05 main:581] : INFO : Epoch 88 | loss: 0.0530976 | val_loss: 0.0531732 | Time: 2970.44 ms [2020-11-26 18:57:08 main:581] : INFO : Epoch 89 | loss: 0.0529259 | val_loss: 0.0530443 | Time: 3119.16 ms [2020-11-26 18:57:11 main:581] : INFO : Epoch 90 | loss: 0.0527533 | val_loss: 0.0528216 | Time: 3020.85 ms [2020-11-26 18:57:15 main:581] : INFO : Epoch 91 | loss: 0.0526252 | val_loss: 0.052731 | Time: 3135.81 ms [2020-11-26 18:57:18 main:581] : INFO : Epoch 92 | loss: 0.0524822 | val_loss: 0.0525984 | Time: 3039.6 ms [2020-11-26 18:57:21 main:581] : INFO : Epoch 93 | loss: 0.0523976 | val_loss: 0.0525891 | Time: 3128.99 ms [2020-11-26 18:57:24 main:581] : INFO : Epoch 94 | loss: 0.0523311 | val_loss: 0.0525101 | Time: 2993.65 ms [2020-11-26 18:57:27 main:581] : INFO : Epoch 95 | loss: 0.0524575 | val_loss: 0.0525954 | Time: 2973.57 ms [2020-11-26 18:57:30 main:581] : INFO : Epoch 96 | loss: 0.0524955 | val_loss: 0.0528104 | Time: 2981.72 ms [2020-11-26 18:57:33 main:581] : INFO : Epoch 97 | loss: 0.0527704 | val_loss: 0.0529746 | Time: 3091.97 ms [2020-11-26 18:57:36 main:581] : INFO : Epoch 98 | loss: 0.0528649 | val_loss: 0.0529302 | Time: 3059.85 ms [2020-11-26 18:57:39 main:581] : INFO : Epoch 99 | loss: 0.0527225 | val_loss: 0.0527339 | Time: 3129.02 ms [2020-11-26 18:57:42 main:581] : INFO : Epoch 100 | loss: 0.052539 | val_loss: 0.0526722 | Time: 3032.32 ms [2020-11-26 18:57:45 main:581] : INFO : Epoch 101 | loss: 0.0528312 | val_loss: 0.0529154 | Time: 3077.03 ms [2020-11-26 18:57:48 main:581] : INFO : Epoch 102 | loss: 0.0532887 | val_loss: 0.0540129 | Time: 3082.1 ms [2020-11-26 18:57:51 main:581] : INFO : Epoch 103 | loss: 0.0539559 | val_loss: 0.0538875 | Time: 3076.8 ms [2020-11-26 18:57:54 main:581] : INFO : Epoch 104 | loss: 0.0538098 | val_loss: 0.0538378 | Time: 2966.65 ms [2020-11-26 18:57:57 main:581] : INFO : Epoch 105 | loss: 0.0540775 | val_loss: 0.0542221 | Time: 3165.31 ms [2020-11-26 18:58:00 main:581] : INFO : Epoch 106 | loss: 0.0540282 | val_loss: 0.0539676 | Time: 3059.91 ms [2020-11-26 18:58:03 main:581] : INFO : Epoch 107 | loss: 0.0537578 | val_loss: 0.0538141 | Time: 3018.59 ms [2020-11-26 18:58:06 main:581] : INFO : Epoch 108 | loss: 0.053773 | val_loss: 0.0538091 | Time: 3012.25 ms [2020-11-26 18:58:10 main:581] : INFO : Epoch 109 | loss: 0.0537934 | val_loss: 0.0538985 | Time: 3132.03 ms [2020-11-26 18:58:13 main:581] : INFO : Epoch 110 | loss: 0.0536959 | val_loss: 0.0537486 | Time: 3206.9 ms [2020-11-26 18:58:16 main:581] : INFO : Epoch 111 | loss: 0.0535237 | val_loss: 0.0535998 | Time: 3084.26 ms [2020-11-26 18:58:19 main:581] : INFO : Epoch 112 | loss: 0.0535231 | val_loss: 0.0535706 | Time: 3021.42 ms [2020-11-26 18:58:22 main:581] : INFO : Epoch 113 | loss: 0.0534006 | val_loss: 0.05361 | Time: 3063.12 ms [2020-11-26 18:58:25 main:581] : INFO : Epoch 114 | loss: 0.0533278 | val_loss: 0.0535048 | Time: 3147.45 ms [2020-11-26 18:58:28 main:581] : INFO : Epoch 115 | loss: 0.0532935 | val_loss: 0.0536249 | Time: 3126.79 ms [2020-11-26 18:58:31 main:581] : INFO : Epoch 116 | loss: 0.0534377 | val_loss: 0.053659 | Time: 3016.12 ms [2020-11-26 18:58:34 main:581] : INFO : Epoch 117 | loss: 0.0533688 | val_loss: 0.053581 | Time: 3126.22 ms [2020-11-26 18:58:37 main:581] : INFO : Epoch 118 | loss: 0.0532476 | val_loss: 0.0534081 | Time: 3013.94 ms [2020-11-26 18:58:40 main:581] : INFO : Epoch 119 | loss: 0.0532067 | val_loss: 0.0533169 | Time: 3011.42 ms [2020-11-26 18:58:43 main:581] : INFO : Epoch 120 | loss: 0.0530817 | val_loss: 0.0532693 | Time: 3065.06 ms [2020-11-26 18:58:46 main:581] : INFO : Epoch 121 | loss: 0.0530319 | val_loss: 0.0532094 | Time: 3001.96 ms [2020-11-26 18:58:50 main:581] : INFO : Epoch 122 | loss: 0.0529745 | val_loss: 0.0531626 | Time: 3081.88 ms [2020-11-26 18:58:53 main:581] : INFO : Epoch 123 | loss: 0.052892 | val_loss: 0.0530779 | Time: 3018.46 ms [2020-11-26 18:58:56 main:581] : INFO : Epoch 124 | loss: 0.0527762 | val_loss: 0.0529625 | Time: 3021.01 ms [2020-11-26 18:58:59 main:581] : INFO : Epoch 125 | loss: 0.0526981 | val_loss: 0.0528787 | Time: 3063.81 ms [2020-11-26 18:59:02 main:581] : INFO : Epoch 126 | loss: 0.052564 | val_loss: 0.0528419 | Time: 3041.61 ms [2020-11-26 18:59:05 main:581] : INFO : Epoch 127 | loss: 0.0524864 | val_loss: 0.0527894 | Time: 2983.78 ms [2020-11-26 18:59:08 main:581] : INFO : Epoch 128 | loss: 0.0524014 | val_loss: 0.0526789 | Time: 3025.11 ms [2020-11-26 18:59:11 main:581] : INFO : Epoch 129 | loss: 0.0523291 | val_loss: 0.0526061 | Time: 3054.54 ms [2020-11-26 18:59:14 main:581] : INFO : Epoch 130 | loss: 0.0522934 | val_loss: 0.0525749 | Time: 3107.35 ms [2020-11-26 18:59:17 main:581] : INFO : Epoch 131 | loss: 0.0521623 | val_loss: 0.0523449 | Time: 3060.39 ms [2020-11-26 18:59:20 main:581] : INFO : Epoch 132 | loss: 0.0520132 | val_loss: 0.0522094 | Time: 2980.67 ms [2020-11-26 18:59:23 main:581] : INFO : Epoch 133 | loss: 0.0520385 | val_loss: 0.0523844 | Time: 3012.99 ms [2020-11-26 18:59:26 main:581] : INFO : Epoch 134 | loss: 0.0523515 | val_loss: 0.0526021 | Time: 3055.6 ms [2020-11-26 18:59:29 main:581] : INFO : Epoch 135 | loss: 0.0522685 | val_loss: 0.05248 | Time: 3110.21 ms [2020-11-26 18:59:32 main:581] : INFO : Epoch 136 | loss: 0.0521659 | val_loss: 0.0523596 | Time: 3018.46 ms [2020-11-26 18:59:35 main:581] : INFO : Epoch 137 | loss: 0.0519558 | val_loss: 0.0521222 | Time: 3098.42 ms [2020-11-26 18:59:38 main:581] : INFO : Epoch 138 | loss: 0.0517447 | val_loss: 0.0520105 | Time: 3050.32 ms [2020-11-26 18:59:41 main:581] : INFO : Epoch 139 | loss: 0.0516671 | val_loss: 0.0520377 | Time: 3033.01 ms [2020-11-26 18:59:44 main:581] : INFO : Epoch 140 | loss: 0.0516389 | val_loss: 0.0519267 | Time: 3154.86 ms [2020-11-26 18:59:47 main:581] : INFO : Epoch 141 | loss: 0.0515496 | val_loss: 0.0517476 | Time: 2979.98 ms [2020-11-26 18:59:50 main:581] : INFO : Epoch 142 | loss: 0.051348 | val_loss: 0.0516493 | Time: 2991.2 ms [2020-11-26 18:59:53 main:581] : INFO : Epoch 143 | loss: 0.0512287 | val_loss: 0.0516041 | Time: 3046.25 ms [2020-11-26 18:59:56 main:581] : INFO : Epoch 144 | loss: 0.0518536 | val_loss: 0.052682 | Time: 3004.7 ms [2020-11-26 19:00:00 main:581] : INFO : Epoch 145 | loss: 0.0524482 | val_loss: 0.0526328 | Time: 3282.51 ms [2020-11-26 19:00:03 main:581] : INFO : Epoch 146 | loss: 0.0524003 | val_loss: 0.0526583 | Time: 2973.01 ms [2020-11-26 19:00:06 main:581] : INFO : Epoch 147 | loss: 0.0524176 | val_loss: 0.0527829 | Time: 3002.5 ms [2020-11-26 19:00:09 main:581] : INFO : Epoch 148 | loss: 0.0524404 | val_loss: 0.0525618 | Time: 3036.49 ms [2020-11-26 19:00:12 main:581] : INFO : Epoch 149 | loss: 0.0522575 | val_loss: 0.052476 | Time: 2966.66 ms [2020-11-26 19:00:15 main:581] : INFO : Epoch 150 | loss: 0.0521068 | val_loss: 0.0524055 | Time: 3038.98 ms [2020-11-26 19:00:18 main:581] : INFO : Epoch 151 | loss: 0.0522324 | val_loss: 0.0526711 | Time: 2980.45 ms [2020-11-26 19:00:21 main:581] : INFO : Epoch 152 | loss: 0.0523452 | val_loss: 0.0525449 | Time: 3031.88 ms [2020-11-26 19:00:24 main:581] : INFO : Epoch 153 | loss: 0.0522773 | val_loss: 0.0525685 | Time: 3103.71 ms [2020-11-26 19:00:27 main:581] : INFO : Epoch 154 | loss: 0.052222 | val_loss: 0.052513 | Time: 2969.97 ms [2020-11-26 19:00:30 main:581] : INFO : Epoch 155 | loss: 0.0521131 | val_loss: 0.0523809 | Time: 3277.37 ms [2020-11-26 19:00:33 main:581] : INFO : Epoch 156 | loss: 0.0519911 | val_loss: 0.0523256 | Time: 3181.66 ms [2020-11-26 19:00:36 main:581] : INFO : Epoch 157 | loss: 0.0518998 | val_loss: 0.0521091 | Time: 2970.01 ms [2020-11-26 19:00:39 main:581] : INFO : Epoch 158 | loss: 0.0517981 | val_loss: 0.0521742 | Time: 3064.43 ms [2020-11-26 19:00:43 main:581] : INFO : Epoch 159 | loss: 0.051761 | val_loss: 0.0522611 | Time: 3171.98 ms [2020-11-26 19:00:46 main:581] : INFO : Epoch 160 | loss: 0.0517921 | val_loss: 0.0521309 | Time: 3217.73 ms [2020-11-26 19:00:49 main:581] : INFO : Epoch 161 | loss: 0.051678 | val_loss: 0.0520776 | Time: 3122.28 ms [2020-11-26 19:00:52 main:581] : INFO : Epoch 162 | loss: 0.0515269 | val_loss: 0.05185 | Time: 3056.88 ms [2020-11-26 19:00:55 main:581] : INFO : Epoch 163 | loss: 0.0513871 | val_loss: 0.0518489 | Time: 3097.21 ms [2020-11-26 19:00:58 main:581] : INFO : Epoch 164 | loss: 0.051377 | val_loss: 0.0517362 | Time: 3023.68 ms [2020-11-26 19:01:01 main:581] : INFO : Epoch 165 | loss: 0.0513835 | val_loss: 0.0519847 | Time: 2988.78 ms [2020-11-26 19:01:04 main:581] : INFO : Epoch 166 | loss: 0.0516283 | val_loss: 0.0522901 | Time: 3027.22 ms [2020-11-26 19:01:07 main:581] : INFO : Epoch 167 | loss: 0.0522119 | val_loss: 0.0525629 | Time: 3071.23 ms [2020-11-26 19:01:10 main:581] : INFO : Epoch 168 | loss: 0.0523825 | val_loss: 0.0526765 | Time: 3120.28 ms [2020-11-26 19:01:13 main:581] : INFO : Epoch 169 | loss: 0.0525048 | val_loss: 0.0525863 | Time: 3151.15 ms [2020-11-26 19:01:17 main:581] : INFO : Epoch 170 | loss: 0.0524117 | val_loss: 0.052488 | Time: 3146.51 ms [2020-11-26 19:01:20 main:581] : INFO : Epoch 171 | loss: 0.052317 | val_loss: 0.0524211 | Time: 3015.42 ms [2020-11-26 19:01:23 main:581] : INFO : Epoch 172 | loss: 0.0522383 | val_loss: 0.0522802 | Time: 3045.79 ms [2020-11-26 19:01:26 main:581] : INFO : Epoch 173 | loss: 0.0520938 | val_loss: 0.0522953 | Time: 3085.58 ms [2020-11-26 19:01:29 main:581] : INFO : Epoch 174 | loss: 0.0519454 | val_loss: 0.0521744 | Time: 3022.33 ms [2020-11-26 19:01:32 main:581] : INFO : Epoch 175 | loss: 0.0517885 | val_loss: 0.0520169 | Time: 3031.05 ms [2020-11-26 19:01:35 main:581] : INFO : Epoch 176 | loss: 0.051682 | val_loss: 0.0519751 | Time: 3064.38 ms [2020-11-26 19:01:38 main:581] : INFO : Epoch 177 | loss: 0.0516147 | val_loss: 0.0519048 | Time: 2966 ms [2020-11-26 19:01:41 main:581] : INFO : Epoch 178 | loss: 0.0515042 | val_loss: 0.0517882 | Time: 2972.19 ms [2020-11-26 19:01:44 main:581] : INFO : Epoch 179 | loss: 0.0513777 | val_loss: 0.0516695 | Time: 3102.9 ms [2020-11-26 19:01:47 main:581] : INFO : Epoch 180 | loss: 0.0512212 | val_loss: 0.051541 | Time: 3047.69 ms [2020-11-26 19:01:50 main:581] : INFO : Epoch 181 | loss: 0.0511117 | val_loss: 0.0515237 | Time: 2987.36 ms [2020-11-26 19:01:53 main:581] : INFO : Epoch 182 | loss: 0.051042 | val_loss: 0.0512132 | Time: 3037.52 ms [2020-11-26 19:01:56 main:581] : INFO : Epoch 183 | loss: 0.0508044 | val_loss: 0.0510762 | Time: 2977.25 ms [2020-11-26 19:01:59 main:581] : INFO : Epoch 184 | loss: 0.0506482 | val_loss: 0.0509333 | Time: 2997.98 ms [2020-11-26 19:02:02 main:581] : INFO : Epoch 185 | loss: 0.0504989 | val_loss: 0.0507619 | Time: 3054.38 ms [2020-11-26 19:02:05 main:581] : INFO : Epoch 186 | loss: 0.0503702 | val_loss: 0.0507295 | Time: 3012.72 ms [2020-11-26 19:02:08 main:581] : INFO : Epoch 187 | loss: 0.0502795 | val_loss: 0.0506512 | Time: 2992 ms [2020-11-26 19:02:11 main:581] : INFO : Epoch 188 | loss: 0.0500742 | val_loss: 0.0505714 | Time: 3032.68 ms [2020-11-26 19:02:14 main:581] : INFO : Epoch 189 | loss: 0.050025 | val_loss: 0.0504323 | Time: 2958.64 ms [2020-11-26 19:02:17 main:581] : INFO : Epoch 190 | loss: 0.049875 | val_loss: 0.0502433 | Time: 2999.53 ms [2020-11-26 19:02:20 main:581] : INFO : Epoch 191 | loss: 0.0497489 | val_loss: 0.0502328 | Time: 2953.31 ms [2020-11-26 19:02:23 main:581] : INFO : Epoch 192 | loss: 0.0499123 | val_loss: 0.0502612 | Time: 2969.39 ms [2020-11-26 19:02:23 main:604] : INFO : Saving trained model to model-final.pt, val_loss 0.0502612 [2020-11-26 19:02:23 main:610] : INFO : Saving end state to config to file [2020-11-26 19:02:23 main:615] : INFO : Success, exiting.. 19:02:23 (15720): 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)