Task 3075381
| Name | rand_automata_0082-1606118020-23562-92_0 |
| Workunit | 1403559 |
| Created | 26 Nov 2020, 21:47:50 UTC |
| Sent | 26 Nov 2020, 21:57:43 UTC |
| Report deadline | 3 Dec 2020, 21:57:43 UTC |
| Received | 26 Nov 2020, 22:08:33 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 49 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 16:58:11 main:442] : INFO : Set logging level to 1 [2020-11-26 16:58:11 main:448] : INFO : Running in BOINC Client mode [2020-11-26 16:58:11 main:451] : INFO : Resolving all filenames [2020-11-26 16:58:11 main:459] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-train-val-dataset.hdf5 (exists = 1) [2020-11-26 16:58:11 main:459] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-1606118020-23562-92_0_r1566775071_1 (exists = 0) [2020-11-26 16:58:11 main:459] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-1606118020-23562-92_0_r1566775071_0 (exists = 0) [2020-11-26 16:58:11 main:459] : INFO : Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-1606118020-23562-92 (exists = 1) [2020-11-26 16:58:11 main:459] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-26 16:58:11 main:479] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-train-val-dataset.hdf5 [2020-11-26 16:58:11 main:481] : INFO : Configuration: [2020-11-26 16:58:11 main:482] : INFO : Model type: LSTM [2020-11-26 16:58:11 main:483] : INFO : Validation Loss Threshold: 0.0001 [2020-11-26 16:58:11 main:484] : INFO : Max Epochs: 192 [2020-11-26 16:58:11 main:485] : INFO : Batch Size: 32 [2020-11-26 16:58:11 main:486] : INFO : Learning Rate: 0.001 [2020-11-26 16:58:11 main:487] : INFO : Patience: 10 [2020-11-26 16:58:11 main:488] : INFO : Hidden Width: 64 [2020-11-26 16:58:11 main:489] : INFO : # Recurrent Layers: 4 [2020-11-26 16:58:11 main:490] : INFO : # Backend Layers: 2 [2020-11-26 16:58:11 main:491] : INFO : # Threads: 1 [2020-11-26 16:58:11 main:493] : INFO : Preparing Dataset [2020-11-26 16:58:11 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-train-val-dataset.hdf5 into memory [2020-11-26 16:58:11 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-train-val-dataset.hdf5 into memory [2020-11-26 16:58:13 load:106] : INFO : Successfully loaded dataset of 4096 examples into memory. [2020-11-26 16:58:13 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-train-val-dataset.hdf5 into memory [2020-11-26 16:58:13 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-train-val-dataset.hdf5 into memory [2020-11-26 16:58:13 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-26 16:58:13 main:501] : INFO : Creating Model [2020-11-26 16:58:13 main:514] : INFO : Preparing config file [2020-11-26 16:58:13 main:526] : INFO : Creating new config file [2020-11-26 16:58:13 main:545] : INFO : This is a continuation WU, loading previous network [2020-11-26 16:58:14 main:566] : INFO : Loading DataLoader into Memory [2020-11-26 16:58:14 main:569] : INFO : Starting Training [2020-11-26 16:58:22 main:581] : INFO : Epoch 1 | loss: 0.059855 | val_loss: 0.0598448 | Time: 8511.25 ms [2020-11-26 16:58:25 main:581] : INFO : Epoch 2 | loss: 0.0598438 | val_loss: 0.0598512 | Time: 2994.75 ms [2020-11-26 16:58:28 main:581] : INFO : Epoch 3 | loss: 0.0598386 | val_loss: 0.0598507 | Time: 3034.81 ms [2020-11-26 16:58:31 main:581] : INFO : Epoch 4 | loss: 0.0598396 | val_loss: 0.0598355 | Time: 3080.24 ms [2020-11-26 16:58:34 main:581] : INFO : Epoch 5 | loss: 0.0598524 | val_loss: 0.059865 | Time: 3000.4 ms [2020-11-26 16:58:37 main:581] : INFO : Epoch 6 | loss: 0.0598651 | val_loss: 0.0598679 | Time: 3049.08 ms [2020-11-26 16:58:40 main:581] : INFO : Epoch 7 | loss: 0.0598685 | val_loss: 0.0598563 | Time: 3052.68 ms [2020-11-26 16:58:43 main:581] : INFO : Epoch 8 | loss: 0.0598571 | val_loss: 0.0598702 | Time: 3083.62 ms [2020-11-26 16:58:47 main:581] : INFO : Epoch 9 | loss: 0.0598595 | val_loss: 0.059849 | Time: 3058.75 ms [2020-11-26 16:58:50 main:581] : INFO : Epoch 10 | loss: 0.0598529 | val_loss: 0.0598547 | Time: 3002 ms [2020-11-26 16:58:53 main:581] : INFO : Epoch 11 | loss: 0.0598473 | val_loss: 0.0598499 | Time: 3028.22 ms [2020-11-26 16:58:56 main:581] : INFO : Epoch 12 | loss: 0.0598486 | val_loss: 0.0598383 | Time: 3084.68 ms [2020-11-26 16:58:59 main:581] : INFO : Epoch 13 | loss: 0.0598442 | val_loss: 0.0598451 | Time: 3107.3 ms [2020-11-26 16:59:02 main:581] : INFO : Epoch 14 | loss: 0.0598504 | val_loss: 0.059843 | Time: 3047.06 ms [2020-11-26 16:59:05 main:581] : INFO : Epoch 15 | loss: 0.0598288 | val_loss: 0.0598404 | Time: 3018.18 ms [2020-11-26 16:59:08 main:581] : INFO : Epoch 16 | loss: 0.0598318 | val_loss: 0.0598276 | Time: 3046.25 ms [2020-11-26 16:59:11 main:581] : INFO : Epoch 17 | loss: 0.0598306 | val_loss: 0.05983 | Time: 2985.93 ms [2020-11-26 16:59:14 main:581] : INFO : Epoch 18 | loss: 0.0598328 | val_loss: 0.0598252 | Time: 3187.79 ms [2020-11-26 16:59:17 main:581] : INFO : Epoch 19 | loss: 0.0598321 | val_loss: 0.0598453 | Time: 3065.35 ms [2020-11-26 16:59:20 main:581] : INFO : Epoch 20 | loss: 0.0598537 | val_loss: 0.0599043 | Time: 3027.35 ms [2020-11-26 16:59:23 main:581] : INFO : Epoch 21 | loss: 0.0599115 | val_loss: 0.0599089 | Time: 3055.52 ms [2020-11-26 16:59:26 main:581] : INFO : Epoch 22 | loss: 0.059924 | val_loss: 0.0598923 | Time: 3018.98 ms [2020-11-26 16:59:29 main:581] : INFO : Epoch 23 | loss: 0.059909 | val_loss: 0.059928 | Time: 3095.25 ms [2020-11-26 16:59:32 main:581] : INFO : Epoch 24 | loss: 0.0599217 | val_loss: 0.059927 | Time: 3082.51 ms [2020-11-26 16:59:35 main:581] : INFO : Epoch 25 | loss: 0.0599208 | val_loss: 0.0599311 | Time: 3108.8 ms [2020-11-26 16:59:39 main:581] : INFO : Epoch 26 | loss: 0.0599129 | val_loss: 0.0599135 | Time: 3165.73 ms [2020-11-26 16:59:42 main:581] : INFO : Epoch 27 | loss: 0.0599118 | val_loss: 0.0598946 | Time: 3129.99 ms [2020-11-26 16:59:45 main:581] : INFO : Epoch 28 | loss: 0.0598941 | val_loss: 0.0599001 | Time: 3027.5 ms [2020-11-26 16:59:48 main:581] : INFO : Epoch 29 | loss: 0.0599144 | val_loss: 0.0599497 | Time: 3023.71 ms [2020-11-26 16:59:51 main:581] : INFO : Epoch 30 | loss: 0.059923 | val_loss: 0.0599434 | Time: 3213.17 ms [2020-11-26 16:59:54 main:581] : INFO : Epoch 31 | loss: 0.0598989 | val_loss: 0.0599213 | Time: 3231.98 ms [2020-11-26 16:59:57 main:581] : INFO : Epoch 32 | loss: 0.05984 | val_loss: 0.0598518 | Time: 3143.39 ms [2020-11-26 17:00:01 main:581] : INFO : Epoch 33 | loss: 0.0598319 | val_loss: 0.0598518 | Time: 3217.65 ms [2020-11-26 17:00:04 main:581] : INFO : Epoch 34 | loss: 0.0598294 | val_loss: 0.0598301 | Time: 3139.79 ms [2020-11-26 17:00:07 main:581] : INFO : Epoch 35 | loss: 0.0598291 | val_loss: 0.0598525 | Time: 3123.85 ms [2020-11-26 17:00:10 main:581] : INFO : Epoch 36 | loss: 0.0598161 | val_loss: 0.0598698 | Time: 3080.3 ms [2020-11-26 17:00:13 main:581] : INFO : Epoch 37 | loss: 0.0598465 | val_loss: 0.0598884 | Time: 3368.97 ms [2020-11-26 17:00:16 main:581] : INFO : Epoch 38 | loss: 0.0598586 | val_loss: 0.0598932 | Time: 3122.7 ms [2020-11-26 17:00:19 main:581] : INFO : Epoch 39 | loss: 0.0598571 | val_loss: 0.0599025 | Time: 2982.86 ms [2020-11-26 17:00:22 main:581] : INFO : Epoch 40 | loss: 0.0598588 | val_loss: 0.0599331 | Time: 3031.97 ms [2020-11-26 17:00:25 main:581] : INFO : Epoch 41 | loss: 0.0598773 | val_loss: 0.059889 | Time: 2976.91 ms [2020-11-26 17:00:29 main:581] : INFO : Epoch 42 | loss: 0.0598857 | val_loss: 0.0598924 | Time: 3094.22 ms [2020-11-26 17:00:32 main:581] : INFO : Epoch 43 | loss: 0.059885 | val_loss: 0.0598902 | Time: 3206.78 ms [2020-11-26 17:00:35 main:581] : INFO : Epoch 44 | loss: 0.0598802 | val_loss: 0.0598697 | Time: 3052.68 ms [2020-11-26 17:00:38 main:581] : INFO : Epoch 45 | loss: 0.0598796 | val_loss: 0.059871 | Time: 3120.19 ms [2020-11-26 17:00:41 main:581] : INFO : Epoch 46 | loss: 0.0598834 | val_loss: 0.059886 | Time: 2986.13 ms [2020-11-26 17:00:44 main:581] : INFO : Epoch 47 | loss: 0.0598795 | val_loss: 0.0598847 | Time: 2983.93 ms [2020-11-26 17:00:47 main:581] : INFO : Epoch 48 | loss: 0.0598776 | val_loss: 0.0598829 | Time: 3006.66 ms [2020-11-26 17:00:50 main:581] : INFO : Epoch 49 | loss: 0.0598766 | val_loss: 0.0598847 | Time: 3036.18 ms [2020-11-26 17:00:53 main:581] : INFO : Epoch 50 | loss: 0.0598766 | val_loss: 0.0598758 | Time: 3054.02 ms [2020-11-26 17:00:56 main:581] : INFO : Epoch 51 | loss: 0.0598765 | val_loss: 0.0598732 | Time: 3068.02 ms [2020-11-26 17:00:59 main:581] : INFO : Epoch 52 | loss: 0.0598789 | val_loss: 0.0598612 | Time: 3009.56 ms [2020-11-26 17:01:02 main:581] : INFO : Epoch 53 | loss: 0.0598763 | val_loss: 0.0598698 | Time: 3042.48 ms [2020-11-26 17:01:05 main:581] : INFO : Epoch 54 | loss: 0.0598787 | val_loss: 0.059875 | Time: 3014.84 ms [2020-11-26 17:01:08 main:581] : INFO : Epoch 55 | loss: 0.0598739 | val_loss: 0.059877 | Time: 3066.74 ms [2020-11-26 17:01:11 main:581] : INFO : Epoch 56 | loss: 0.0598803 | val_loss: 0.0598978 | Time: 3117.11 ms [2020-11-26 17:01:14 main:581] : INFO : Epoch 57 | loss: 0.0598924 | val_loss: 0.0598991 | Time: 3018.19 ms [2020-11-26 17:01:17 main:581] : INFO : Epoch 58 | loss: 0.0598949 | val_loss: 0.0598882 | Time: 3005.55 ms [2020-11-26 17:01:20 main:581] : INFO : Epoch 59 | loss: 0.0598943 | val_loss: 0.05991 | Time: 3055.77 ms [2020-11-26 17:01:23 main:581] : INFO : Epoch 60 | loss: 0.0599047 | val_loss: 0.0599069 | Time: 3052.27 ms [2020-11-26 17:01:27 main:581] : INFO : Epoch 61 | loss: 0.0599075 | val_loss: 0.0599126 | Time: 3183.42 ms [2020-11-26 17:01:30 main:581] : INFO : Epoch 62 | loss: 0.0598992 | val_loss: 0.0599136 | Time: 3028.46 ms [2020-11-26 17:01:33 main:581] : INFO : Epoch 63 | loss: 0.0599257 | val_loss: 0.0599382 | Time: 3020.76 ms [2020-11-26 17:01:36 main:581] : INFO : Epoch 64 | loss: 0.0599458 | val_loss: 0.0599641 | Time: 3052.11 ms [2020-11-26 17:01:39 main:581] : INFO : Epoch 65 | loss: 0.0599895 | val_loss: 0.059947 | Time: 3156.21 ms [2020-11-26 17:01:42 main:581] : INFO : Epoch 66 | loss: 0.0599958 | val_loss: 0.0599539 | Time: 3102.92 ms [2020-11-26 17:01:45 main:581] : INFO : Epoch 67 | loss: 0.06 | val_loss: 0.0599577 | Time: 3077.01 ms [2020-11-26 17:01:48 main:581] : INFO : Epoch 68 | loss: 0.0599988 | val_loss: 0.0599615 | Time: 3119.47 ms [2020-11-26 17:01:51 main:581] : INFO : Epoch 69 | loss: 0.0599937 | val_loss: 0.0599331 | Time: 3039.94 ms [2020-11-26 17:01:54 main:581] : INFO : Epoch 70 | loss: 0.0599927 | val_loss: 0.0599502 | Time: 2984.68 ms [2020-11-26 17:01:57 main:581] : INFO : Epoch 71 | loss: 0.0599968 | val_loss: 0.059944 | Time: 3033.19 ms [2020-11-26 17:02:00 main:581] : INFO : Epoch 72 | loss: 0.0599913 | val_loss: 0.059944 | Time: 3119.4 ms [2020-11-26 17:02:03 main:581] : INFO : Epoch 73 | loss: 0.0599907 | val_loss: 0.0599396 | Time: 3078.72 ms [2020-11-26 17:02:06 main:581] : INFO : Epoch 74 | loss: 0.0599944 | val_loss: 0.0599579 | Time: 2975.88 ms [2020-11-26 17:02:09 main:581] : INFO : Epoch 75 | loss: 0.0600095 | val_loss: 0.0599724 | Time: 2974.5 ms [2020-11-26 17:02:12 main:581] : INFO : Epoch 76 | loss: 0.0600087 | val_loss: 0.059966 | Time: 2999.64 ms [2020-11-26 17:02:16 main:581] : INFO : Epoch 77 | loss: 0.0600208 | val_loss: 0.0599839 | Time: 3199.69 ms [2020-11-26 17:02:19 main:581] : INFO : Epoch 78 | loss: 0.0600232 | val_loss: 0.0599714 | Time: 3056.94 ms [2020-11-26 17:02:22 main:581] : INFO : Epoch 79 | loss: 0.0600186 | val_loss: 0.0599749 | Time: 3207.04 ms [2020-11-26 17:02:25 main:581] : INFO : Epoch 80 | loss: 0.0600068 | val_loss: 0.059942 | Time: 3032.55 ms [2020-11-26 17:02:28 main:581] : INFO : Epoch 81 | loss: 0.0600202 | val_loss: 0.0601696 | Time: 3021.85 ms [2020-11-26 17:02:31 main:581] : INFO : Epoch 82 | loss: 0.0603684 | val_loss: 0.0603301 | Time: 3054.79 ms [2020-11-26 17:02:34 main:581] : INFO : Epoch 83 | loss: 0.0603744 | val_loss: 0.0603256 | Time: 2975.42 ms [2020-11-26 17:02:37 main:581] : INFO : Epoch 84 | loss: 0.0603769 | val_loss: 0.0603635 | Time: 3034.81 ms [2020-11-26 17:02:40 main:581] : INFO : Epoch 85 | loss: 0.060369 | val_loss: 0.0603278 | Time: 3048.73 ms [2020-11-26 17:02:43 main:581] : INFO : Epoch 86 | loss: 0.0603604 | val_loss: 0.060309 | Time: 2990.47 ms [2020-11-26 17:02:46 main:581] : INFO : Epoch 87 | loss: 0.0603499 | val_loss: 0.0603118 | Time: 3051.97 ms [2020-11-26 17:02:49 main:581] : INFO : Epoch 88 | loss: 0.060358 | val_loss: 0.0603506 | Time: 3015.52 ms [2020-11-26 17:02:52 main:581] : INFO : Epoch 89 | loss: 0.0603811 | val_loss: 0.0603661 | Time: 2997.12 ms [2020-11-26 17:02:55 main:581] : INFO : Epoch 90 | loss: 0.0603765 | val_loss: 0.0603589 | Time: 3195.95 ms [2020-11-26 17:02:58 main:581] : INFO : Epoch 91 | loss: 0.0603723 | val_loss: 0.060344 | Time: 3050.03 ms [2020-11-26 17:03:01 main:581] : INFO : Epoch 92 | loss: 0.060357 | val_loss: 0.0603137 | Time: 3033.13 ms [2020-11-26 17:03:04 main:581] : INFO : Epoch 93 | loss: 0.0603547 | val_loss: 0.0603252 | Time: 3009.26 ms [2020-11-26 17:03:07 main:581] : INFO : Epoch 94 | loss: 0.0603541 | val_loss: 0.0603599 | Time: 3115.55 ms [2020-11-26 17:03:11 main:581] : INFO : Epoch 95 | loss: 0.0603716 | val_loss: 0.0603355 | Time: 3058.03 ms [2020-11-26 17:03:14 main:581] : INFO : Epoch 96 | loss: 0.0603354 | val_loss: 0.0603304 | Time: 3020.12 ms [2020-11-26 17:03:17 main:581] : INFO : Epoch 97 | loss: 0.0603334 | val_loss: 0.0603438 | Time: 3017.39 ms [2020-11-26 17:03:20 main:581] : INFO : Epoch 98 | loss: 0.0603098 | val_loss: 0.060309 | Time: 3011.54 ms [2020-11-26 17:03:23 main:581] : INFO : Epoch 99 | loss: 0.0602785 | val_loss: 0.0603034 | Time: 3053.65 ms [2020-11-26 17:03:26 main:581] : INFO : Epoch 100 | loss: 0.060281 | val_loss: 0.0602936 | Time: 3051.16 ms [2020-11-26 17:03:29 main:581] : INFO : Epoch 101 | loss: 0.060276 | val_loss: 0.0603156 | Time: 3059.75 ms [2020-11-26 17:03:32 main:581] : INFO : Epoch 102 | loss: 0.0602864 | val_loss: 0.0603153 | Time: 3017.41 ms [2020-11-26 17:03:35 main:581] : INFO : Epoch 103 | loss: 0.0602883 | val_loss: 0.0603438 | Time: 3027.67 ms [2020-11-26 17:03:38 main:581] : INFO : Epoch 104 | loss: 0.0603064 | val_loss: 0.0603329 | Time: 3103.64 ms [2020-11-26 17:03:41 main:581] : INFO : Epoch 105 | loss: 0.0603041 | val_loss: 0.0603465 | Time: 3401.88 ms [2020-11-26 17:03:44 main:581] : INFO : Epoch 106 | loss: 0.0603049 | val_loss: 0.060338 | Time: 3103.22 ms [2020-11-26 17:03:47 main:581] : INFO : Epoch 107 | loss: 0.0602997 | val_loss: 0.0603253 | Time: 2967.5 ms [2020-11-26 17:03:50 main:581] : INFO : Epoch 108 | loss: 0.0603021 | val_loss: 0.060341 | Time: 2991.41 ms [2020-11-26 17:03:53 main:581] : INFO : Epoch 109 | loss: 0.0603032 | val_loss: 0.0603291 | Time: 2984.78 ms [2020-11-26 17:03:56 main:581] : INFO : Epoch 110 | loss: 0.0603022 | val_loss: 0.0603489 | Time: 2977.65 ms [2020-11-26 17:03:59 main:581] : INFO : Epoch 111 | loss: 0.0602991 | val_loss: 0.0603303 | Time: 3144.02 ms [2020-11-26 17:04:02 main:581] : INFO : Epoch 112 | loss: 0.0602947 | val_loss: 0.060331 | Time: 2997.22 ms [2020-11-26 17:04:06 main:581] : INFO : Epoch 113 | loss: 0.0602938 | val_loss: 0.06033 | Time: 3113.11 ms [2020-11-26 17:04:09 main:581] : INFO : Epoch 114 | loss: 0.0602976 | val_loss: 0.0603363 | Time: 2995.94 ms [2020-11-26 17:04:12 main:581] : INFO : Epoch 115 | loss: 0.0602974 | val_loss: 0.0603233 | Time: 3069.73 ms [2020-11-26 17:04:15 main:581] : INFO : Epoch 116 | loss: 0.0602967 | val_loss: 0.0603288 | Time: 3045.63 ms [2020-11-26 17:04:18 main:581] : INFO : Epoch 117 | loss: 0.0602957 | val_loss: 0.0603322 | Time: 3065.37 ms [2020-11-26 17:04:21 main:581] : INFO : Epoch 118 | loss: 0.060289 | val_loss: 0.0602858 | Time: 3215.12 ms [2020-11-26 17:04:24 main:581] : INFO : Epoch 119 | loss: 0.0602832 | val_loss: 0.0602942 | Time: 3117.08 ms [2020-11-26 17:04:27 main:581] : INFO : Epoch 120 | loss: 0.0602847 | val_loss: 0.0603205 | Time: 2972.89 ms [2020-11-26 17:04:30 main:581] : INFO : Epoch 121 | loss: 0.0602875 | val_loss: 0.0603092 | Time: 3031.02 ms [2020-11-26 17:04:33 main:581] : INFO : Epoch 122 | loss: 0.060288 | val_loss: 0.0603071 | Time: 3062.48 ms [2020-11-26 17:04:36 main:581] : INFO : Epoch 123 | loss: 0.0602843 | val_loss: 0.0603029 | Time: 3057.8 ms [2020-11-26 17:04:39 main:581] : INFO : Epoch 124 | loss: 0.0602886 | val_loss: 0.0603013 | Time: 3001.37 ms [2020-11-26 17:04:42 main:581] : INFO : Epoch 125 | loss: 0.0602863 | val_loss: 0.0603049 | Time: 3048.57 ms [2020-11-26 17:04:45 main:581] : INFO : Epoch 126 | loss: 0.0602962 | val_loss: 0.0603111 | Time: 3095.86 ms [2020-11-26 17:04:49 main:581] : INFO : Epoch 127 | loss: 0.0603035 | val_loss: 0.0603374 | Time: 3233.62 ms [2020-11-26 17:04:52 main:581] : INFO : Epoch 128 | loss: 0.0603014 | val_loss: 0.0603075 | Time: 3050.42 ms [2020-11-26 17:04:55 main:581] : INFO : Epoch 129 | loss: 0.0602938 | val_loss: 0.0602987 | Time: 3003.31 ms [2020-11-26 17:04:58 main:581] : INFO : Epoch 130 | loss: 0.0602918 | val_loss: 0.0602915 | Time: 3039.33 ms [2020-11-26 17:05:01 main:581] : INFO : Epoch 131 | loss: 0.060281 | val_loss: 0.0602937 | Time: 3106.93 ms [2020-11-26 17:05:04 main:581] : INFO : Epoch 132 | loss: 0.0602939 | val_loss: 0.0603199 | Time: 3156.33 ms [2020-11-26 17:05:07 main:581] : INFO : Epoch 133 | loss: 0.0603102 | val_loss: 0.0603125 | Time: 3069.48 ms [2020-11-26 17:05:10 main:581] : INFO : Epoch 134 | loss: 0.0602996 | val_loss: 0.0602963 | Time: 3010.14 ms [2020-11-26 17:05:13 main:581] : INFO : Epoch 135 | loss: 0.0602968 | val_loss: 0.0603224 | Time: 3049.31 ms [2020-11-26 17:05:16 main:581] : INFO : Epoch 136 | loss: 0.0603047 | val_loss: 0.0603256 | Time: 3062.57 ms [2020-11-26 17:05:19 main:581] : INFO : Epoch 137 | loss: 0.0603064 | val_loss: 0.0603221 | Time: 3078.27 ms [2020-11-26 17:05:22 main:581] : INFO : Epoch 138 | loss: 0.0603031 | val_loss: 0.0603143 | Time: 3027.45 ms [2020-11-26 17:05:25 main:581] : INFO : Epoch 139 | loss: 0.0603243 | val_loss: 0.0603853 | Time: 3031.39 ms [2020-11-26 17:05:28 main:581] : INFO : Epoch 140 | loss: 0.06039 | val_loss: 0.0603982 | Time: 3046.5 ms [2020-11-26 17:05:31 main:581] : INFO : Epoch 141 | loss: 0.0603825 | val_loss: 0.0603743 | Time: 2965.05 ms [2020-11-26 17:05:34 main:581] : INFO : Epoch 142 | loss: 0.0603756 | val_loss: 0.0603923 | Time: 2962.91 ms [2020-11-26 17:05:37 main:581] : INFO : Epoch 143 | loss: 0.0603756 | val_loss: 0.0603687 | Time: 3020.3 ms [2020-11-26 17:05:40 main:581] : INFO : Epoch 144 | loss: 0.0603753 | val_loss: 0.0603768 | Time: 2967.68 ms [2020-11-26 17:05:43 main:581] : INFO : Epoch 145 | loss: 0.0603862 | val_loss: 0.0603663 | Time: 3032.3 ms [2020-11-26 17:05:46 main:581] : INFO : Epoch 146 | loss: 0.0603887 | val_loss: 0.0603751 | Time: 3066.64 ms [2020-11-26 17:05:50 main:581] : INFO : Epoch 147 | loss: 0.0603968 | val_loss: 0.0603675 | Time: 3289.57 ms [2020-11-26 17:05:53 main:581] : INFO : Epoch 148 | loss: 0.0604227 | val_loss: 0.0604086 | Time: 3069.03 ms [2020-11-26 17:05:56 main:581] : INFO : Epoch 149 | loss: 0.0604293 | val_loss: 0.0604394 | Time: 3000.81 ms [2020-11-26 17:05:59 main:581] : INFO : Epoch 150 | loss: 0.0604559 | val_loss: 0.0604313 | Time: 3079.11 ms [2020-11-26 17:06:02 main:581] : INFO : Epoch 151 | loss: 0.0604596 | val_loss: 0.0604444 | Time: 3106.21 ms [2020-11-26 17:06:05 main:581] : INFO : Epoch 152 | loss: 0.0604521 | val_loss: 0.060447 | Time: 3009.99 ms [2020-11-26 17:06:08 main:581] : INFO : Epoch 153 | loss: 0.0604563 | val_loss: 0.0604288 | Time: 3102.02 ms [2020-11-26 17:06:11 main:581] : INFO : Epoch 154 | loss: 0.0604601 | val_loss: 0.060428 | Time: 3117.39 ms [2020-11-26 17:06:14 main:581] : INFO : Epoch 155 | loss: 0.0604589 | val_loss: 0.0604578 | Time: 3056.37 ms [2020-11-26 17:06:17 main:581] : INFO : Epoch 156 | loss: 0.0605631 | val_loss: 0.060595 | Time: 3001.51 ms [2020-11-26 17:06:20 main:581] : INFO : Epoch 157 | loss: 0.0605685 | val_loss: 0.0605868 | Time: 3073.44 ms [2020-11-26 17:06:23 main:581] : INFO : Epoch 158 | loss: 0.0605741 | val_loss: 0.0606041 | Time: 3178.49 ms [2020-11-26 17:06:27 main:581] : INFO : Epoch 159 | loss: 0.060574 | val_loss: 0.0606034 | Time: 3059.01 ms [2020-11-26 17:06:29 main:581] : INFO : Epoch 160 | loss: 0.0605679 | val_loss: 0.0605997 | Time: 2965.25 ms [2020-11-26 17:06:33 main:581] : INFO : Epoch 161 | loss: 0.0605701 | val_loss: 0.0605954 | Time: 3085.71 ms [2020-11-26 17:06:36 main:581] : INFO : Epoch 162 | loss: 0.0605772 | val_loss: 0.0606059 | Time: 3094.7 ms [2020-11-26 17:06:39 main:581] : INFO : Epoch 163 | loss: 0.0606308 | val_loss: 0.060699 | Time: 3049.15 ms [2020-11-26 17:06:42 main:581] : INFO : Epoch 164 | loss: 0.060675 | val_loss: 0.0607345 | Time: 3138.73 ms [2020-11-26 17:06:45 main:581] : INFO : Epoch 165 | loss: 0.0607229 | val_loss: 0.0607481 | Time: 3071.63 ms [2020-11-26 17:06:48 main:581] : INFO : Epoch 166 | loss: 0.0607194 | val_loss: 0.0607192 | Time: 3028.62 ms [2020-11-26 17:06:51 main:581] : INFO : Epoch 167 | loss: 0.0607122 | val_loss: 0.0607778 | Time: 3016.12 ms [2020-11-26 17:06:54 main:581] : INFO : Epoch 168 | loss: 0.0607608 | val_loss: 0.0607866 | Time: 3026.91 ms [2020-11-26 17:06:57 main:581] : INFO : Epoch 169 | loss: 0.0607576 | val_loss: 0.0607759 | Time: 3057.19 ms [2020-11-26 17:07:00 main:581] : INFO : Epoch 170 | loss: 0.0607475 | val_loss: 0.0607566 | Time: 3106.37 ms [2020-11-26 17:07:03 main:581] : INFO : Epoch 171 | loss: 0.0607461 | val_loss: 0.0607663 | Time: 3000.03 ms [2020-11-26 17:07:06 main:581] : INFO : Epoch 172 | loss: 0.0607584 | val_loss: 0.0607496 | Time: 3155.77 ms [2020-11-26 17:07:09 main:581] : INFO : Epoch 173 | loss: 0.0607413 | val_loss: 0.0607887 | Time: 2995.88 ms [2020-11-26 17:07:12 main:581] : INFO : Epoch 174 | loss: 0.0607959 | val_loss: 0.0607833 | Time: 3085.26 ms [2020-11-26 17:07:16 main:581] : INFO : Epoch 175 | loss: 0.0607952 | val_loss: 0.0607951 | Time: 3139.25 ms [2020-11-26 17:07:19 main:581] : INFO : Epoch 176 | loss: 0.0608157 | val_loss: 0.0607916 | Time: 3047.47 ms [2020-11-26 17:07:22 main:581] : INFO : Epoch 177 | loss: 0.0608517 | val_loss: 0.0608772 | Time: 3036.67 ms [2020-11-26 17:07:25 main:581] : INFO : Epoch 178 | loss: 0.0608513 | val_loss: 0.0608703 | Time: 3061.29 ms [2020-11-26 17:07:28 main:581] : INFO : Epoch 179 | loss: 0.0608437 | val_loss: 0.0608678 | Time: 3069.21 ms [2020-11-26 17:07:31 main:581] : INFO : Epoch 180 | loss: 0.0608378 | val_loss: 0.0608704 | Time: 3014.45 ms [2020-11-26 17:07:34 main:581] : INFO : Epoch 181 | loss: 0.060844 | val_loss: 0.0608644 | Time: 3095.8 ms [2020-11-26 17:07:37 main:581] : INFO : Epoch 182 | loss: 0.0608591 | val_loss: 0.0608763 | Time: 3137.11 ms [2020-11-26 17:07:40 main:581] : INFO : Epoch 183 | loss: 0.0608462 | val_loss: 0.0608646 | Time: 3004.66 ms [2020-11-26 17:07:43 main:581] : INFO : Epoch 184 | loss: 0.0608525 | val_loss: 0.0608683 | Time: 2993.7 ms [2020-11-26 17:07:46 main:581] : INFO : Epoch 185 | loss: 0.0608472 | val_loss: 0.0608711 | Time: 2997.66 ms [2020-11-26 17:07:49 main:581] : INFO : Epoch 186 | loss: 0.0608393 | val_loss: 0.0608603 | Time: 2988.91 ms [2020-11-26 17:07:52 main:581] : INFO : Epoch 187 | loss: 0.0608396 | val_loss: 0.0608544 | Time: 3117.14 ms [2020-11-26 17:07:55 main:581] : INFO : Epoch 188 | loss: 0.0608419 | val_loss: 0.0608466 | Time: 3004.74 ms [2020-11-26 17:07:58 main:581] : INFO : Epoch 189 | loss: 0.0608309 | val_loss: 0.0608454 | Time: 3033.11 ms [2020-11-26 17:08:01 main:581] : INFO : Epoch 190 | loss: 0.0608299 | val_loss: 0.0608679 | Time: 2973.97 ms [2020-11-26 17:08:04 main:581] : INFO : Epoch 191 | loss: 0.0608257 | val_loss: 0.0608502 | Time: 3055.71 ms [2020-11-26 17:08:07 main:581] : INFO : Epoch 192 | loss: 0.060826 | val_loss: 0.0608551 | Time: 3071.81 ms [2020-11-26 17:08:07 main:604] : INFO : Saving trained model to model-final.pt, val_loss 0.0608551 [2020-11-26 17:08:07 main:610] : INFO : Saving end state to config to file [2020-11-26 17:08:07 main:615] : INFO : Success, exiting.. 17:08:07 (15425): 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)