Task 3075565
| Name | rand_automata_0082-1606118020-23562-93_0 |
| Workunit | 1403728 |
| Created | 26 Nov 2020, 22:09:07 UTC |
| Sent | 26 Nov 2020, 22:18:59 UTC |
| Report deadline | 3 Dec 2020, 22:18:59 UTC |
| Received | 26 Nov 2020, 22:29:14 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 4754 |
| Run time | 9 min 50 sec |
| CPU time | 9 min 45 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 | 2.19 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 17:19:16 main:442] : INFO : Set logging level to 1 [2020-11-26 17:19:16 main:448] : INFO : Running in BOINC Client mode [2020-11-26 17:19:16 main:451] : INFO : Resolving all filenames [2020-11-26 17:19:16 main:459] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-train-val-dataset.hdf5 (exists = 1) [2020-11-26 17:19:16 main:459] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-1606118020-23562-93_0_r2086865974_1 (exists = 0) [2020-11-26 17:19:16 main:459] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-1606118020-23562-93_0_r2086865974_0 (exists = 0) [2020-11-26 17:19:16 main:459] : INFO : Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-1606118020-23562-93 (exists = 1) [2020-11-26 17:19:16 main:459] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-26 17:19:16 main:479] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-train-val-dataset.hdf5 [2020-11-26 17:19:16 main:481] : INFO : Configuration: [2020-11-26 17:19:16 main:482] : INFO : Model type: LSTM [2020-11-26 17:19:16 main:483] : INFO : Validation Loss Threshold: 0.0001 [2020-11-26 17:19:16 main:484] : INFO : Max Epochs: 192 [2020-11-26 17:19:16 main:485] : INFO : Batch Size: 32 [2020-11-26 17:19:16 main:486] : INFO : Learning Rate: 0.001 [2020-11-26 17:19:16 main:487] : INFO : Patience: 10 [2020-11-26 17:19:16 main:488] : INFO : Hidden Width: 64 [2020-11-26 17:19:16 main:489] : INFO : # Recurrent Layers: 4 [2020-11-26 17:19:16 main:490] : INFO : # Backend Layers: 2 [2020-11-26 17:19:16 main:491] : INFO : # Threads: 1 [2020-11-26 17:19:16 main:493] : INFO : Preparing Dataset [2020-11-26 17:19:16 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 17:19:16 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 17:19:18 load:106] : INFO : Successfully loaded dataset of 4096 examples into memory. [2020-11-26 17:19:18 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 17:19:18 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 17:19:18 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-26 17:19:18 main:501] : INFO : Creating Model [2020-11-26 17:19:18 main:514] : INFO : Preparing config file [2020-11-26 17:19:18 main:526] : INFO : Creating new config file [2020-11-26 17:19:18 main:545] : INFO : This is a continuation WU, loading previous network [2020-11-26 17:19:19 main:566] : INFO : Loading DataLoader into Memory [2020-11-26 17:19:19 main:569] : INFO : Starting Training [2020-11-26 17:19:23 main:581] : INFO : Epoch 1 | loss: 0.0608655 | val_loss: 0.0608803 | Time: 4718.47 ms [2020-11-26 17:19:27 main:581] : INFO : Epoch 2 | loss: 0.0608818 | val_loss: 0.0608981 | Time: 3057.23 ms [2020-11-26 17:19:30 main:581] : INFO : Epoch 3 | loss: 0.0609168 | val_loss: 0.0609606 | Time: 3142.96 ms [2020-11-26 17:19:34 main:581] : INFO : Epoch 4 | loss: 0.0609395 | val_loss: 0.0609691 | Time: 3113.13 ms [2020-11-26 17:19:37 main:581] : INFO : Epoch 5 | loss: 0.060928 | val_loss: 0.06092 | Time: 3049.56 ms [2020-11-26 17:19:40 main:581] : INFO : Epoch 6 | loss: 0.0609223 | val_loss: 0.0609266 | Time: 3007.87 ms [2020-11-26 17:19:43 main:581] : INFO : Epoch 7 | loss: 0.0609268 | val_loss: 0.0609682 | Time: 2997.77 ms [2020-11-26 17:19:46 main:581] : INFO : Epoch 8 | loss: 0.0609413 | val_loss: 0.0609391 | Time: 2943.22 ms [2020-11-26 17:19:49 main:581] : INFO : Epoch 9 | loss: 0.0609335 | val_loss: 0.0609431 | Time: 3044.14 ms [2020-11-26 17:19:52 main:581] : INFO : Epoch 10 | loss: 0.0609392 | val_loss: 0.0609405 | Time: 2996.65 ms [2020-11-26 17:19:55 main:581] : INFO : Epoch 11 | loss: 0.0609345 | val_loss: 0.0609343 | Time: 3283.84 ms [2020-11-26 17:19:58 main:581] : INFO : Epoch 12 | loss: 0.0609174 | val_loss: 0.0609268 | Time: 3174.06 ms [2020-11-26 17:20:01 main:581] : INFO : Epoch 13 | loss: 0.0609023 | val_loss: 0.0609243 | Time: 3071.57 ms [2020-11-26 17:20:04 main:581] : INFO : Epoch 14 | loss: 0.0609003 | val_loss: 0.060922 | Time: 2962.41 ms [2020-11-26 17:20:07 main:581] : INFO : Epoch 15 | loss: 0.0608813 | val_loss: 0.0608789 | Time: 3000.75 ms [2020-11-26 17:20:10 main:581] : INFO : Epoch 16 | loss: 0.060879 | val_loss: 0.0609034 | Time: 3107.36 ms [2020-11-26 17:20:13 main:581] : INFO : Epoch 17 | loss: 0.0608752 | val_loss: 0.0609105 | Time: 3041.45 ms [2020-11-26 17:20:16 main:581] : INFO : Epoch 18 | loss: 0.0608827 | val_loss: 0.0609122 | Time: 2991.49 ms [2020-11-26 17:20:19 main:581] : INFO : Epoch 19 | loss: 0.0608787 | val_loss: 0.0609376 | Time: 3138.8 ms [2020-11-26 17:20:23 main:581] : INFO : Epoch 20 | loss: 0.0609029 | val_loss: 0.0609239 | Time: 3170.51 ms [2020-11-26 17:20:26 main:581] : INFO : Epoch 21 | loss: 0.0609219 | val_loss: 0.0609039 | Time: 2963.33 ms [2020-11-26 17:20:29 main:581] : INFO : Epoch 22 | loss: 0.0609198 | val_loss: 0.0609406 | Time: 3001.61 ms [2020-11-26 17:20:32 main:581] : INFO : Epoch 23 | loss: 0.0609251 | val_loss: 0.0609236 | Time: 2999.5 ms [2020-11-26 17:20:35 main:581] : INFO : Epoch 24 | loss: 0.0609112 | val_loss: 0.0609355 | Time: 3102.7 ms [2020-11-26 17:20:38 main:581] : INFO : Epoch 25 | loss: 0.0609278 | val_loss: 0.0609387 | Time: 3065.4 ms [2020-11-26 17:20:41 main:581] : INFO : Epoch 26 | loss: 0.0609266 | val_loss: 0.06095 | Time: 2992.14 ms [2020-11-26 17:20:44 main:581] : INFO : Epoch 27 | loss: 0.0609316 | val_loss: 0.0609375 | Time: 3022.6 ms [2020-11-26 17:20:47 main:581] : INFO : Epoch 28 | loss: 0.0609481 | val_loss: 0.0609441 | Time: 3006.15 ms [2020-11-26 17:20:50 main:581] : INFO : Epoch 29 | loss: 0.0609422 | val_loss: 0.0609466 | Time: 3005.21 ms [2020-11-26 17:20:53 main:581] : INFO : Epoch 30 | loss: 0.0609441 | val_loss: 0.0609479 | Time: 3179 ms [2020-11-26 17:20:56 main:581] : INFO : Epoch 31 | loss: 0.060938 | val_loss: 0.0609435 | Time: 3008.97 ms [2020-11-26 17:20:59 main:581] : INFO : Epoch 32 | loss: 0.060938 | val_loss: 0.0609387 | Time: 3036.75 ms [2020-11-26 17:21:02 main:581] : INFO : Epoch 33 | loss: 0.0609363 | val_loss: 0.0609623 | Time: 3021.62 ms [2020-11-26 17:21:05 main:581] : INFO : Epoch 34 | loss: 0.0609369 | val_loss: 0.0609566 | Time: 3120.09 ms [2020-11-26 17:21:08 main:581] : INFO : Epoch 35 | loss: 0.0609399 | val_loss: 0.0609667 | Time: 3033.46 ms [2020-11-26 17:21:11 main:581] : INFO : Epoch 36 | loss: 0.0609405 | val_loss: 0.0609511 | Time: 3014.5 ms [2020-11-26 17:21:14 main:581] : INFO : Epoch 37 | loss: 0.0609413 | val_loss: 0.0609502 | Time: 3011.24 ms [2020-11-26 17:21:17 main:581] : INFO : Epoch 38 | loss: 0.0609401 | val_loss: 0.0609399 | Time: 2944.06 ms [2020-11-26 17:21:20 main:581] : INFO : Epoch 39 | loss: 0.0609393 | val_loss: 0.0609457 | Time: 3016.63 ms [2020-11-26 17:21:23 main:581] : INFO : Epoch 40 | loss: 0.0609405 | val_loss: 0.0609406 | Time: 2949.97 ms [2020-11-26 17:21:26 main:581] : INFO : Epoch 41 | loss: 0.0609381 | val_loss: 0.0609519 | Time: 2984.94 ms [2020-11-26 17:21:29 main:581] : INFO : Epoch 42 | loss: 0.0609486 | val_loss: 0.06095 | Time: 3048.87 ms [2020-11-26 17:21:32 main:581] : INFO : Epoch 43 | loss: 0.0609478 | val_loss: 0.0609433 | Time: 3042.67 ms [2020-11-26 17:21:35 main:581] : INFO : Epoch 44 | loss: 0.0609431 | val_loss: 0.0609611 | Time: 3120.33 ms [2020-11-26 17:21:38 main:581] : INFO : Epoch 45 | loss: 0.0609342 | val_loss: 0.0609709 | Time: 3014.49 ms [2020-11-26 17:21:41 main:581] : INFO : Epoch 46 | loss: 0.0609268 | val_loss: 0.0609411 | Time: 3114.97 ms [2020-11-26 17:21:44 main:581] : INFO : Epoch 47 | loss: 0.0609374 | val_loss: 0.0609305 | Time: 3018.37 ms [2020-11-26 17:21:47 main:581] : INFO : Epoch 48 | loss: 0.0609295 | val_loss: 0.0609383 | Time: 3037.2 ms [2020-11-26 17:21:50 main:581] : INFO : Epoch 49 | loss: 0.0609437 | val_loss: 0.0609454 | Time: 3012.2 ms [2020-11-26 17:21:53 main:581] : INFO : Epoch 50 | loss: 0.0609404 | val_loss: 0.0609255 | Time: 3028.03 ms [2020-11-26 17:21:57 main:581] : INFO : Epoch 51 | loss: 0.0609305 | val_loss: 0.0609168 | Time: 3136.82 ms [2020-11-26 17:22:00 main:581] : INFO : Epoch 52 | loss: 0.0609266 | val_loss: 0.0609226 | Time: 2961.32 ms [2020-11-26 17:22:03 main:581] : INFO : Epoch 53 | loss: 0.0609372 | val_loss: 0.0609546 | Time: 2972.18 ms [2020-11-26 17:22:06 main:581] : INFO : Epoch 54 | loss: 0.0609805 | val_loss: 0.0609844 | Time: 2967.62 ms [2020-11-26 17:22:09 main:581] : INFO : Epoch 55 | loss: 0.0609906 | val_loss: 0.0609636 | Time: 2989.16 ms [2020-11-26 17:22:11 main:581] : INFO : Epoch 56 | loss: 0.061027 | val_loss: 0.0610616 | Time: 2980.73 ms [2020-11-26 17:22:14 main:581] : INFO : Epoch 57 | loss: 0.0610765 | val_loss: 0.0610787 | Time: 2952.04 ms [2020-11-26 17:22:18 main:581] : INFO : Epoch 58 | loss: 0.0610717 | val_loss: 0.0610766 | Time: 3088.04 ms [2020-11-26 17:22:21 main:581] : INFO : Epoch 59 | loss: 0.0611333 | val_loss: 0.0612163 | Time: 3013.46 ms [2020-11-26 17:22:24 main:581] : INFO : Epoch 60 | loss: 0.0613661 | val_loss: 0.0614465 | Time: 3039.47 ms [2020-11-26 17:22:27 main:581] : INFO : Epoch 61 | loss: 0.0614136 | val_loss: 0.0613717 | Time: 2976.96 ms [2020-11-26 17:22:30 main:581] : INFO : Epoch 62 | loss: 0.0613515 | val_loss: 0.0613101 | Time: 3059.43 ms [2020-11-26 17:22:33 main:581] : INFO : Epoch 63 | loss: 0.0613442 | val_loss: 0.0614131 | Time: 3027.96 ms [2020-11-26 17:22:36 main:581] : INFO : Epoch 64 | loss: 0.061448 | val_loss: 0.0614644 | Time: 3022.37 ms [2020-11-26 17:22:39 main:581] : INFO : Epoch 65 | loss: 0.0614467 | val_loss: 0.0614112 | Time: 2974.16 ms [2020-11-26 17:22:42 main:581] : INFO : Epoch 66 | loss: 0.0615646 | val_loss: 0.0615904 | Time: 3251.04 ms [2020-11-26 17:22:45 main:581] : INFO : Epoch 67 | loss: 0.0616562 | val_loss: 0.0616674 | Time: 3081.41 ms [2020-11-26 17:22:48 main:581] : INFO : Epoch 68 | loss: 0.061717 | val_loss: 0.0616585 | Time: 2974.58 ms [2020-11-26 17:22:51 main:581] : INFO : Epoch 69 | loss: 0.0617073 | val_loss: 0.0616692 | Time: 3079.89 ms [2020-11-26 17:22:54 main:581] : INFO : Epoch 70 | loss: 0.0615866 | val_loss: 0.0615165 | Time: 3177.95 ms [2020-11-26 17:22:57 main:581] : INFO : Epoch 71 | loss: 0.0615615 | val_loss: 0.0615151 | Time: 3032.93 ms [2020-11-26 17:23:00 main:581] : INFO : Epoch 72 | loss: 0.0615555 | val_loss: 0.0615246 | Time: 3119.01 ms [2020-11-26 17:23:03 main:581] : INFO : Epoch 73 | loss: 0.0615509 | val_loss: 0.0615188 | Time: 3094.44 ms [2020-11-26 17:23:06 main:581] : INFO : Epoch 74 | loss: 0.0615497 | val_loss: 0.0615194 | Time: 2956.33 ms [2020-11-26 17:23:09 main:581] : INFO : Epoch 75 | loss: 0.0615659 | val_loss: 0.0615377 | Time: 3024.51 ms [2020-11-26 17:23:12 main:581] : INFO : Epoch 76 | loss: 0.0616146 | val_loss: 0.0616298 | Time: 2977.03 ms [2020-11-26 17:23:16 main:581] : INFO : Epoch 77 | loss: 0.061798 | val_loss: 0.0618681 | Time: 3200.89 ms [2020-11-26 17:23:19 main:581] : INFO : Epoch 78 | loss: 0.0619009 | val_loss: 0.0619092 | Time: 3002.54 ms [2020-11-26 17:23:22 main:581] : INFO : Epoch 79 | loss: 0.0620006 | val_loss: 0.0619732 | Time: 2959.47 ms [2020-11-26 17:23:25 main:581] : INFO : Epoch 80 | loss: 0.062061 | val_loss: 0.0620182 | Time: 2942.95 ms [2020-11-26 17:23:27 main:581] : INFO : Epoch 81 | loss: 0.0620425 | val_loss: 0.0620369 | Time: 2959 ms [2020-11-26 17:23:31 main:581] : INFO : Epoch 82 | loss: 0.0620503 | val_loss: 0.0620119 | Time: 3040.54 ms [2020-11-26 17:23:34 main:581] : INFO : Epoch 83 | loss: 0.0620691 | val_loss: 0.062039 | Time: 3001.65 ms [2020-11-26 17:23:36 main:581] : INFO : Epoch 84 | loss: 0.0620497 | val_loss: 0.0620153 | Time: 2963.59 ms [2020-11-26 17:23:40 main:581] : INFO : Epoch 85 | loss: 0.06205 | val_loss: 0.0620147 | Time: 3012.05 ms [2020-11-26 17:23:42 main:581] : INFO : Epoch 86 | loss: 0.0620581 | val_loss: 0.0619914 | Time: 2948.16 ms [2020-11-26 17:23:46 main:581] : INFO : Epoch 87 | loss: 0.0620493 | val_loss: 0.0619972 | Time: 3156.82 ms [2020-11-26 17:23:49 main:581] : INFO : Epoch 88 | loss: 0.062044 | val_loss: 0.0619913 | Time: 2956.47 ms [2020-11-26 17:23:52 main:581] : INFO : Epoch 89 | loss: 0.0620307 | val_loss: 0.0619756 | Time: 2972.79 ms [2020-11-26 17:23:55 main:581] : INFO : Epoch 90 | loss: 0.0620366 | val_loss: 0.0620397 | Time: 2979.93 ms [2020-11-26 17:23:57 main:581] : INFO : Epoch 91 | loss: 0.0620898 | val_loss: 0.0620455 | Time: 2951.73 ms [2020-11-26 17:24:01 main:581] : INFO : Epoch 92 | loss: 0.0620884 | val_loss: 0.0620486 | Time: 3094.16 ms [2020-11-26 17:24:04 main:581] : INFO : Epoch 93 | loss: 0.0620947 | val_loss: 0.0620699 | Time: 2990.3 ms [2020-11-26 17:24:07 main:581] : INFO : Epoch 94 | loss: 0.062094 | val_loss: 0.062046 | Time: 2969 ms [2020-11-26 17:24:09 main:581] : INFO : Epoch 95 | loss: 0.0620847 | val_loss: 0.0620293 | Time: 2967.35 ms [2020-11-26 17:24:12 main:581] : INFO : Epoch 96 | loss: 0.062078 | val_loss: 0.0620226 | Time: 2957.55 ms [2020-11-26 17:24:15 main:581] : INFO : Epoch 97 | loss: 0.0620777 | val_loss: 0.0620439 | Time: 2992.29 ms [2020-11-26 17:24:19 main:581] : INFO : Epoch 98 | loss: 0.0620747 | val_loss: 0.0620213 | Time: 3300.55 ms [2020-11-26 17:24:22 main:581] : INFO : Epoch 99 | loss: 0.0620771 | val_loss: 0.062065 | Time: 2954.44 ms [2020-11-26 17:24:25 main:581] : INFO : Epoch 100 | loss: 0.0620843 | val_loss: 0.0620327 | Time: 3187.43 ms [2020-11-26 17:24:28 main:581] : INFO : Epoch 101 | loss: 0.0620478 | val_loss: 0.0619809 | Time: 2973.15 ms [2020-11-26 17:24:31 main:581] : INFO : Epoch 102 | loss: 0.0620447 | val_loss: 0.0620372 | Time: 3002.3 ms [2020-11-26 17:24:34 main:581] : INFO : Epoch 103 | loss: 0.0620783 | val_loss: 0.0620326 | Time: 2945.46 ms [2020-11-26 17:24:37 main:581] : INFO : Epoch 104 | loss: 0.0620823 | val_loss: 0.0620628 | Time: 3093.63 ms [2020-11-26 17:24:40 main:581] : INFO : Epoch 105 | loss: 0.0620933 | val_loss: 0.0620397 | Time: 3141.16 ms [2020-11-26 17:24:43 main:581] : INFO : Epoch 106 | loss: 0.0620769 | val_loss: 0.0620203 | Time: 3005.98 ms [2020-11-26 17:24:46 main:581] : INFO : Epoch 107 | loss: 0.0620357 | val_loss: 0.0620026 | Time: 3024.47 ms [2020-11-26 17:24:49 main:581] : INFO : Epoch 108 | loss: 0.0620285 | val_loss: 0.0620062 | Time: 2961.94 ms [2020-11-26 17:24:52 main:581] : INFO : Epoch 109 | loss: 0.0620282 | val_loss: 0.062 | Time: 2956 ms [2020-11-26 17:24:55 main:581] : INFO : Epoch 110 | loss: 0.062023 | val_loss: 0.0620125 | Time: 3055.87 ms [2020-11-26 17:24:58 main:581] : INFO : Epoch 111 | loss: 0.0620251 | val_loss: 0.0620111 | Time: 3040.61 ms [2020-11-26 17:25:01 main:581] : INFO : Epoch 112 | loss: 0.0620177 | val_loss: 0.0620252 | Time: 2992.66 ms [2020-11-26 17:25:04 main:581] : INFO : Epoch 113 | loss: 0.0620208 | val_loss: 0.0620098 | Time: 2963.34 ms [2020-11-26 17:25:07 main:581] : INFO : Epoch 114 | loss: 0.062034 | val_loss: 0.0620085 | Time: 3014.55 ms [2020-11-26 17:25:10 main:581] : INFO : Epoch 115 | loss: 0.0620368 | val_loss: 0.0620056 | Time: 2981.7 ms [2020-11-26 17:25:13 main:581] : INFO : Epoch 116 | loss: 0.06203 | val_loss: 0.0619971 | Time: 3005.85 ms [2020-11-26 17:25:16 main:581] : INFO : Epoch 117 | loss: 0.0620272 | val_loss: 0.0619928 | Time: 3035.73 ms [2020-11-26 17:25:19 main:581] : INFO : Epoch 118 | loss: 0.0620284 | val_loss: 0.061996 | Time: 3090.81 ms [2020-11-26 17:25:22 main:581] : INFO : Epoch 119 | loss: 0.0620241 | val_loss: 0.0620034 | Time: 2978.07 ms [2020-11-26 17:25:25 main:581] : INFO : Epoch 120 | loss: 0.0620197 | val_loss: 0.0620085 | Time: 3028.01 ms [2020-11-26 17:25:28 main:581] : INFO : Epoch 121 | loss: 0.062017 | val_loss: 0.062022 | Time: 3016.69 ms [2020-11-26 17:25:31 main:581] : INFO : Epoch 122 | loss: 0.062014 | val_loss: 0.06197 | Time: 2971.58 ms [2020-11-26 17:25:34 main:581] : INFO : Epoch 123 | loss: 0.0620089 | val_loss: 0.0619835 | Time: 2992.16 ms [2020-11-26 17:25:37 main:581] : INFO : Epoch 124 | loss: 0.0620065 | val_loss: 0.0619726 | Time: 3050.26 ms [2020-11-26 17:25:40 main:581] : INFO : Epoch 125 | loss: 0.0620108 | val_loss: 0.0619745 | Time: 3027.31 ms [2020-11-26 17:25:43 main:581] : INFO : Epoch 126 | loss: 0.0620031 | val_loss: 0.0619835 | Time: 3046.56 ms [2020-11-26 17:25:46 main:581] : INFO : Epoch 127 | loss: 0.0620062 | val_loss: 0.061999 | Time: 3017.08 ms [2020-11-26 17:25:50 main:581] : INFO : Epoch 128 | loss: 0.0620138 | val_loss: 0.061981 | Time: 3199.21 ms [2020-11-26 17:25:52 main:581] : INFO : Epoch 129 | loss: 0.0620046 | val_loss: 0.0619712 | Time: 2943.72 ms [2020-11-26 17:25:55 main:581] : INFO : Epoch 130 | loss: 0.0620043 | val_loss: 0.061969 | Time: 2964.29 ms [2020-11-26 17:25:59 main:581] : INFO : Epoch 131 | loss: 0.0620054 | val_loss: 0.0619946 | Time: 3190.47 ms [2020-11-26 17:26:02 main:581] : INFO : Epoch 132 | loss: 0.0620086 | val_loss: 0.0619822 | Time: 2988.46 ms [2020-11-26 17:26:05 main:581] : INFO : Epoch 133 | loss: 0.0620084 | val_loss: 0.0619932 | Time: 3074.35 ms [2020-11-26 17:26:08 main:581] : INFO : Epoch 134 | loss: 0.0620085 | val_loss: 0.0619951 | Time: 2967.2 ms [2020-11-26 17:26:11 main:581] : INFO : Epoch 135 | loss: 0.0620041 | val_loss: 0.0619945 | Time: 3028.06 ms [2020-11-26 17:26:14 main:581] : INFO : Epoch 136 | loss: 0.062005 | val_loss: 0.0619822 | Time: 3061.34 ms [2020-11-26 17:26:17 main:581] : INFO : Epoch 137 | loss: 0.0620071 | val_loss: 0.0619582 | Time: 3000.61 ms [2020-11-26 17:26:20 main:581] : INFO : Epoch 138 | loss: 0.0620017 | val_loss: 0.0619523 | Time: 2963.83 ms [2020-11-26 17:26:23 main:581] : INFO : Epoch 139 | loss: 0.062004 | val_loss: 0.0619787 | Time: 3052.29 ms [2020-11-26 17:26:26 main:581] : INFO : Epoch 140 | loss: 0.0620039 | val_loss: 0.0619783 | Time: 3057.42 ms [2020-11-26 17:26:29 main:581] : INFO : Epoch 141 | loss: 0.062005 | val_loss: 0.0619904 | Time: 2968.59 ms [2020-11-26 17:26:32 main:581] : INFO : Epoch 142 | loss: 0.0619961 | val_loss: 0.0619822 | Time: 3043.04 ms [2020-11-26 17:26:35 main:581] : INFO : Epoch 143 | loss: 0.0620013 | val_loss: 0.0619667 | Time: 3059.68 ms [2020-11-26 17:26:38 main:581] : INFO : Epoch 144 | loss: 0.0619966 | val_loss: 0.0619991 | Time: 3013.41 ms [2020-11-26 17:26:41 main:581] : INFO : Epoch 145 | loss: 0.062 | val_loss: 0.0619636 | Time: 2976.28 ms [2020-11-26 17:26:44 main:581] : INFO : Epoch 146 | loss: 0.0620258 | val_loss: 0.0620309 | Time: 2957.92 ms [2020-11-26 17:26:47 main:581] : INFO : Epoch 147 | loss: 0.0620496 | val_loss: 0.0620298 | Time: 2935.71 ms [2020-11-26 17:26:50 main:581] : INFO : Epoch 148 | loss: 0.0620485 | val_loss: 0.0620316 | Time: 2996.4 ms [2020-11-26 17:26:53 main:581] : INFO : Epoch 149 | loss: 0.0620443 | val_loss: 0.0620339 | Time: 2954.49 ms [2020-11-26 17:26:56 main:581] : INFO : Epoch 150 | loss: 0.062043 | val_loss: 0.0620268 | Time: 2956.83 ms [2020-11-26 17:26:59 main:581] : INFO : Epoch 151 | loss: 0.0620468 | val_loss: 0.0620347 | Time: 3100.13 ms [2020-11-26 17:27:02 main:581] : INFO : Epoch 152 | loss: 0.0620479 | val_loss: 0.062039 | Time: 2941.57 ms [2020-11-26 17:27:05 main:581] : INFO : Epoch 153 | loss: 0.0620453 | val_loss: 0.0620527 | Time: 2978.45 ms [2020-11-26 17:27:08 main:581] : INFO : Epoch 154 | loss: 0.0620443 | val_loss: 0.062047 | Time: 2951.28 ms [2020-11-26 17:27:11 main:581] : INFO : Epoch 155 | loss: 0.0620491 | val_loss: 0.0620416 | Time: 3003.35 ms [2020-11-26 17:27:14 main:581] : INFO : Epoch 156 | loss: 0.0620471 | val_loss: 0.0620398 | Time: 2984.22 ms [2020-11-26 17:27:17 main:581] : INFO : Epoch 157 | loss: 0.0620456 | val_loss: 0.0620492 | Time: 3166.88 ms [2020-11-26 17:27:20 main:581] : INFO : Epoch 158 | loss: 0.0620454 | val_loss: 0.0620349 | Time: 3087.06 ms [2020-11-26 17:27:23 main:581] : INFO : Epoch 159 | loss: 0.0620447 | val_loss: 0.0620356 | Time: 3227.13 ms [2020-11-26 17:27:26 main:581] : INFO : Epoch 160 | loss: 0.0620449 | val_loss: 0.0620308 | Time: 3170.38 ms [2020-11-26 17:27:29 main:581] : INFO : Epoch 161 | loss: 0.0620426 | val_loss: 0.0620433 | Time: 3007.26 ms [2020-11-26 17:27:32 main:581] : INFO : Epoch 162 | loss: 0.0620474 | val_loss: 0.0620359 | Time: 2967.38 ms [2020-11-26 17:27:35 main:581] : INFO : Epoch 163 | loss: 0.0620449 | val_loss: 0.0620478 | Time: 2956.91 ms [2020-11-26 17:27:38 main:581] : INFO : Epoch 164 | loss: 0.0620448 | val_loss: 0.0620428 | Time: 3058.17 ms [2020-11-26 17:27:41 main:581] : INFO : Epoch 165 | loss: 0.0620446 | val_loss: 0.0620505 | Time: 2971.74 ms [2020-11-26 17:27:44 main:581] : INFO : Epoch 166 | loss: 0.0620445 | val_loss: 0.0620495 | Time: 2969.97 ms [2020-11-26 17:27:47 main:581] : INFO : Epoch 167 | loss: 0.0620425 | val_loss: 0.0620371 | Time: 3074.6 ms [2020-11-26 17:27:50 main:581] : INFO : Epoch 168 | loss: 0.0620405 | val_loss: 0.0620401 | Time: 3002.9 ms [2020-11-26 17:27:53 main:581] : INFO : Epoch 169 | loss: 0.0620435 | val_loss: 0.0620445 | Time: 3042.39 ms [2020-11-26 17:27:56 main:581] : INFO : Epoch 170 | loss: 0.0620479 | val_loss: 0.0620281 | Time: 3013.25 ms [2020-11-26 17:27:59 main:581] : INFO : Epoch 171 | loss: 0.0620492 | val_loss: 0.0620259 | Time: 2988.81 ms [2020-11-26 17:28:02 main:581] : INFO : Epoch 172 | loss: 0.0620456 | val_loss: 0.062032 | Time: 3010.5 ms [2020-11-26 17:28:05 main:581] : INFO : Epoch 173 | loss: 0.0620431 | val_loss: 0.062023 | Time: 2984.09 ms [2020-11-26 17:28:08 main:581] : INFO : Epoch 174 | loss: 0.0620425 | val_loss: 0.0620324 | Time: 2996.59 ms [2020-11-26 17:28:11 main:581] : INFO : Epoch 175 | loss: 0.0620464 | val_loss: 0.0620357 | Time: 2970.3 ms [2020-11-26 17:28:15 main:581] : INFO : Epoch 176 | loss: 0.0620464 | val_loss: 0.0620433 | Time: 3257.25 ms [2020-11-26 17:28:18 main:581] : INFO : Epoch 177 | loss: 0.0620423 | val_loss: 0.0620461 | Time: 3022.09 ms [2020-11-26 17:28:21 main:581] : INFO : Epoch 178 | loss: 0.0620456 | val_loss: 0.0620156 | Time: 2981.98 ms [2020-11-26 17:28:24 main:581] : INFO : Epoch 179 | loss: 0.0620455 | val_loss: 0.0620113 | Time: 2974.5 ms [2020-11-26 17:28:27 main:581] : INFO : Epoch 180 | loss: 0.0620437 | val_loss: 0.0620215 | Time: 3006.3 ms [2020-11-26 17:28:30 main:581] : INFO : Epoch 181 | loss: 0.062042 | val_loss: 0.0620137 | Time: 3053.4 ms [2020-11-26 17:28:33 main:581] : INFO : Epoch 182 | loss: 0.0620399 | val_loss: 0.0620158 | Time: 3480.6 ms [2020-11-26 17:28:36 main:581] : INFO : Epoch 183 | loss: 0.0620404 | val_loss: 0.0620181 | Time: 3004.44 ms [2020-11-26 17:28:39 main:581] : INFO : Epoch 184 | loss: 0.0620421 | val_loss: 0.0620163 | Time: 2941.77 ms [2020-11-26 17:28:42 main:581] : INFO : Epoch 185 | loss: 0.062037 | val_loss: 0.062007 | Time: 3123.69 ms [2020-11-26 17:28:45 main:581] : INFO : Epoch 186 | loss: 0.0620419 | val_loss: 0.0620072 | Time: 2999.51 ms [2020-11-26 17:28:48 main:581] : INFO : Epoch 187 | loss: 0.0620394 | val_loss: 0.062016 | Time: 3241.27 ms [2020-11-26 17:28:52 main:581] : INFO : Epoch 188 | loss: 0.0620436 | val_loss: 0.0620223 | Time: 3174.85 ms [2020-11-26 17:28:55 main:581] : INFO : Epoch 189 | loss: 0.0620432 | val_loss: 0.0620254 | Time: 3201.03 ms [2020-11-26 17:28:58 main:581] : INFO : Epoch 190 | loss: 0.0620431 | val_loss: 0.0620147 | Time: 3113.75 ms [2020-11-26 17:29:01 main:581] : INFO : Epoch 191 | loss: 0.0620386 | val_loss: 0.0620246 | Time: 2969.66 ms [2020-11-26 17:29:04 main:581] : INFO : Epoch 192 | loss: 0.0620413 | val_loss: 0.062014 | Time: 3084.28 ms [2020-11-26 17:29:04 main:604] : INFO : Saving trained model to model-final.pt, val_loss 0.062014 [2020-11-26 17:29:04 main:610] : INFO : Saving end state to config to file [2020-11-26 17:29:04 main:615] : INFO : Success, exiting.. 17:29:04 (15462): 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)