Task 3074121
| Name | rand_automata_0082-1606118020-23562-84_0 |
| Workunit | 1402504 |
| Created | 26 Nov 2020, 19:00:20 UTC |
| Sent | 26 Nov 2020, 19:11:55 UTC |
| Report deadline | 3 Dec 2020, 19:11:55 UTC |
| Received | 26 Nov 2020, 19:22:20 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 51 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 14:12:13 main:442] : INFO : Set logging level to 1 [2020-11-26 14:12:13 main:448] : INFO : Running in BOINC Client mode [2020-11-26 14:12:13 main:451] : INFO : Resolving all filenames [2020-11-26 14:12:13 main:459] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-train-val-dataset.hdf5 (exists = 1) [2020-11-26 14:12:13 main:459] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-1606118020-23562-84_0_r1247772222_1 (exists = 0) [2020-11-26 14:12:13 main:459] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-1606118020-23562-84_0_r1247772222_0 (exists = 0) [2020-11-26 14:12:13 main:459] : INFO : Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-1606118020-23562-84 (exists = 1) [2020-11-26 14:12:13 main:459] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-26 14:12:13 main:479] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-train-val-dataset.hdf5 [2020-11-26 14:12:13 main:481] : INFO : Configuration: [2020-11-26 14:12:13 main:482] : INFO : Model type: LSTM [2020-11-26 14:12:13 main:483] : INFO : Validation Loss Threshold: 0.0001 [2020-11-26 14:12:13 main:484] : INFO : Max Epochs: 192 [2020-11-26 14:12:13 main:485] : INFO : Batch Size: 32 [2020-11-26 14:12:13 main:486] : INFO : Learning Rate: 0.001 [2020-11-26 14:12:13 main:487] : INFO : Patience: 10 [2020-11-26 14:12:13 main:488] : INFO : Hidden Width: 64 [2020-11-26 14:12:13 main:489] : INFO : # Recurrent Layers: 4 [2020-11-26 14:12:13 main:490] : INFO : # Backend Layers: 2 [2020-11-26 14:12:13 main:491] : INFO : # Threads: 1 [2020-11-26 14:12:13 main:493] : INFO : Preparing Dataset [2020-11-26 14:12:13 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 14:12:13 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 14:12:15 load:106] : INFO : Successfully loaded dataset of 4096 examples into memory. [2020-11-26 14:12:15 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 14:12:15 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 14:12:15 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-26 14:12:15 main:501] : INFO : Creating Model [2020-11-26 14:12:15 main:514] : INFO : Preparing config file [2020-11-26 14:12:15 main:526] : INFO : Creating new config file [2020-11-26 14:12:15 main:545] : INFO : This is a continuation WU, loading previous network [2020-11-26 14:12:15 main:566] : INFO : Loading DataLoader into Memory [2020-11-26 14:12:15 main:569] : INFO : Starting Training [2020-11-26 14:12:19 main:581] : INFO : Epoch 1 | loss: 0.0617521 | val_loss: 0.0617414 | Time: 3851.77 ms [2020-11-26 14:12:22 main:581] : INFO : Epoch 2 | loss: 0.0618805 | val_loss: 0.0618998 | Time: 2953.32 ms [2020-11-26 14:12:25 main:581] : INFO : Epoch 3 | loss: 0.0619315 | val_loss: 0.06197 | Time: 2996.38 ms [2020-11-26 14:12:28 main:581] : INFO : Epoch 4 | loss: 0.0619879 | val_loss: 0.0619713 | Time: 3043.85 ms [2020-11-26 14:12:31 main:581] : INFO : Epoch 5 | loss: 0.0619644 | val_loss: 0.0619419 | Time: 3129.93 ms [2020-11-26 14:12:34 main:581] : INFO : Epoch 6 | loss: 0.0619666 | val_loss: 0.0619398 | Time: 2984.34 ms [2020-11-26 14:12:37 main:581] : INFO : Epoch 7 | loss: 0.0619602 | val_loss: 0.0619314 | Time: 2969.35 ms [2020-11-26 14:12:40 main:581] : INFO : Epoch 8 | loss: 0.0619556 | val_loss: 0.0619283 | Time: 3065.45 ms [2020-11-26 14:12:43 main:581] : INFO : Epoch 9 | loss: 0.0619455 | val_loss: 0.0618634 | Time: 3087.19 ms [2020-11-26 14:12:46 main:581] : INFO : Epoch 10 | loss: 0.0618964 | val_loss: 0.0618574 | Time: 2989.89 ms [2020-11-26 14:12:50 main:581] : INFO : Epoch 11 | loss: 0.0618828 | val_loss: 0.0618548 | Time: 3334.15 ms [2020-11-26 14:12:53 main:581] : INFO : Epoch 12 | loss: 0.0618866 | val_loss: 0.0618592 | Time: 3062.52 ms [2020-11-26 14:12:56 main:581] : INFO : Epoch 13 | loss: 0.0618869 | val_loss: 0.061806 | Time: 2991.14 ms [2020-11-26 14:12:59 main:581] : INFO : Epoch 14 | loss: 0.0618271 | val_loss: 0.0617909 | Time: 2994.14 ms [2020-11-26 14:13:02 main:581] : INFO : Epoch 15 | loss: 0.0617961 | val_loss: 0.0617287 | Time: 2956.37 ms [2020-11-26 14:13:05 main:581] : INFO : Epoch 16 | loss: 0.0617656 | val_loss: 0.0617336 | Time: 2972.65 ms [2020-11-26 14:13:08 main:581] : INFO : Epoch 17 | loss: 0.0617643 | val_loss: 0.0617572 | Time: 3086.06 ms [2020-11-26 14:13:11 main:581] : INFO : Epoch 18 | loss: 0.0617489 | val_loss: 0.0617111 | Time: 2986.64 ms [2020-11-26 14:13:14 main:581] : INFO : Epoch 19 | loss: 0.0617528 | val_loss: 0.0617499 | Time: 2965.81 ms [2020-11-26 14:13:17 main:581] : INFO : Epoch 20 | loss: 0.0617713 | val_loss: 0.0617588 | Time: 3069.84 ms [2020-11-26 14:13:20 main:581] : INFO : Epoch 21 | loss: 0.0617784 | val_loss: 0.0617579 | Time: 2956.85 ms [2020-11-26 14:13:23 main:581] : INFO : Epoch 22 | loss: 0.0617765 | val_loss: 0.0617573 | Time: 3082.71 ms [2020-11-26 14:13:26 main:581] : INFO : Epoch 23 | loss: 0.0617773 | val_loss: 0.0617553 | Time: 2989.61 ms [2020-11-26 14:13:29 main:581] : INFO : Epoch 24 | loss: 0.0617564 | val_loss: 0.061737 | Time: 2955.28 ms [2020-11-26 14:13:32 main:581] : INFO : Epoch 25 | loss: 0.061746 | val_loss: 0.0617301 | Time: 2955.16 ms [2020-11-26 14:13:35 main:581] : INFO : Epoch 26 | loss: 0.0617671 | val_loss: 0.061746 | Time: 2940.39 ms [2020-11-26 14:13:38 main:581] : INFO : Epoch 27 | loss: 0.0617742 | val_loss: 0.061761 | Time: 2948.22 ms [2020-11-26 14:13:41 main:581] : INFO : Epoch 28 | loss: 0.0617878 | val_loss: 0.0617611 | Time: 3033.9 ms [2020-11-26 14:13:44 main:581] : INFO : Epoch 29 | loss: 0.0617865 | val_loss: 0.0617585 | Time: 3007.43 ms [2020-11-26 14:13:47 main:581] : INFO : Epoch 30 | loss: 0.0617779 | val_loss: 0.0617387 | Time: 3050.75 ms [2020-11-26 14:13:50 main:581] : INFO : Epoch 31 | loss: 0.0617414 | val_loss: 0.0617124 | Time: 3009.26 ms [2020-11-26 14:13:53 main:581] : INFO : Epoch 32 | loss: 0.0617268 | val_loss: 0.0617046 | Time: 2945.51 ms [2020-11-26 14:13:56 main:581] : INFO : Epoch 33 | loss: 0.0617225 | val_loss: 0.061709 | Time: 3029.59 ms [2020-11-26 14:13:59 main:581] : INFO : Epoch 34 | loss: 0.061717 | val_loss: 0.0617 | Time: 3025.05 ms [2020-11-26 14:14:02 main:581] : INFO : Epoch 35 | loss: 0.0617024 | val_loss: 0.0616779 | Time: 2975.34 ms [2020-11-26 14:14:05 main:581] : INFO : Epoch 36 | loss: 0.0616883 | val_loss: 0.061683 | Time: 3022.46 ms [2020-11-26 14:14:08 main:581] : INFO : Epoch 37 | loss: 0.0616792 | val_loss: 0.0616715 | Time: 2944.84 ms [2020-11-26 14:14:11 main:581] : INFO : Epoch 38 | loss: 0.061669 | val_loss: 0.0616571 | Time: 3019.74 ms [2020-11-26 14:14:14 main:581] : INFO : Epoch 39 | loss: 0.061661 | val_loss: 0.0616571 | Time: 2965.59 ms [2020-11-26 14:14:17 main:581] : INFO : Epoch 40 | loss: 0.0616605 | val_loss: 0.0616562 | Time: 2969.7 ms [2020-11-26 14:14:20 main:581] : INFO : Epoch 41 | loss: 0.0616456 | val_loss: 0.06165 | Time: 3286.96 ms [2020-11-26 14:14:23 main:581] : INFO : Epoch 42 | loss: 0.0616362 | val_loss: 0.0616335 | Time: 2950.86 ms [2020-11-26 14:14:26 main:581] : INFO : Epoch 43 | loss: 0.0616346 | val_loss: 0.0616292 | Time: 3042.87 ms [2020-11-26 14:14:29 main:581] : INFO : Epoch 44 | loss: 0.061634 | val_loss: 0.0616359 | Time: 3052.17 ms [2020-11-26 14:14:32 main:581] : INFO : Epoch 45 | loss: 0.0616749 | val_loss: 0.0616647 | Time: 3129.08 ms [2020-11-26 14:14:35 main:581] : INFO : Epoch 46 | loss: 0.0616685 | val_loss: 0.0616503 | Time: 2996.37 ms [2020-11-26 14:14:38 main:581] : INFO : Epoch 47 | loss: 0.0616674 | val_loss: 0.0616579 | Time: 3130.88 ms [2020-11-26 14:14:41 main:581] : INFO : Epoch 48 | loss: 0.0616759 | val_loss: 0.0616749 | Time: 3095.9 ms [2020-11-26 14:14:45 main:581] : INFO : Epoch 49 | loss: 0.0616711 | val_loss: 0.0616602 | Time: 3162.57 ms [2020-11-26 14:14:48 main:581] : INFO : Epoch 50 | loss: 0.0616534 | val_loss: 0.0616463 | Time: 3297.34 ms [2020-11-26 14:14:51 main:581] : INFO : Epoch 51 | loss: 0.0616401 | val_loss: 0.0616296 | Time: 3001.11 ms [2020-11-26 14:14:54 main:581] : INFO : Epoch 52 | loss: 0.0616341 | val_loss: 0.0616316 | Time: 3133.53 ms [2020-11-26 14:14:57 main:581] : INFO : Epoch 53 | loss: 0.0616137 | val_loss: 0.0616118 | Time: 2978.52 ms [2020-11-26 14:15:00 main:581] : INFO : Epoch 54 | loss: 0.0615987 | val_loss: 0.061609 | Time: 2991.44 ms [2020-11-26 14:15:03 main:581] : INFO : Epoch 55 | loss: 0.0615964 | val_loss: 0.0615802 | Time: 3134.59 ms [2020-11-26 14:15:06 main:581] : INFO : Epoch 56 | loss: 0.0615731 | val_loss: 0.0615664 | Time: 3143.51 ms [2020-11-26 14:15:09 main:581] : INFO : Epoch 57 | loss: 0.0615566 | val_loss: 0.0615442 | Time: 3034.49 ms [2020-11-26 14:15:12 main:581] : INFO : Epoch 58 | loss: 0.0615522 | val_loss: 0.0615557 | Time: 3151.94 ms [2020-11-26 14:15:16 main:581] : INFO : Epoch 59 | loss: 0.0615364 | val_loss: 0.0615337 | Time: 3220.65 ms [2020-11-26 14:15:19 main:581] : INFO : Epoch 60 | loss: 0.0615091 | val_loss: 0.0615157 | Time: 3116.19 ms [2020-11-26 14:15:22 main:581] : INFO : Epoch 61 | loss: 0.0614989 | val_loss: 0.0615038 | Time: 2994.14 ms [2020-11-26 14:15:25 main:581] : INFO : Epoch 62 | loss: 0.0614805 | val_loss: 0.0614732 | Time: 3105.83 ms [2020-11-26 14:15:28 main:581] : INFO : Epoch 63 | loss: 0.0614555 | val_loss: 0.0614474 | Time: 2968.22 ms [2020-11-26 14:15:31 main:581] : INFO : Epoch 64 | loss: 0.0614348 | val_loss: 0.0614263 | Time: 2978.22 ms [2020-11-26 14:15:34 main:581] : INFO : Epoch 65 | loss: 0.0614324 | val_loss: 0.0614141 | Time: 3089.73 ms [2020-11-26 14:15:37 main:581] : INFO : Epoch 66 | loss: 0.0613955 | val_loss: 0.0614124 | Time: 3047.42 ms [2020-11-26 14:15:40 main:581] : INFO : Epoch 67 | loss: 0.0613733 | val_loss: 0.0613318 | Time: 3214.99 ms [2020-11-26 14:15:43 main:581] : INFO : Epoch 68 | loss: 0.0613336 | val_loss: 0.0613206 | Time: 3034.67 ms [2020-11-26 14:15:46 main:581] : INFO : Epoch 69 | loss: 0.0613004 | val_loss: 0.061274 | Time: 3105.53 ms [2020-11-26 14:15:50 main:581] : INFO : Epoch 70 | loss: 0.0612556 | val_loss: 0.0612528 | Time: 3340.08 ms [2020-11-26 14:15:53 main:581] : INFO : Epoch 71 | loss: 0.0612243 | val_loss: 0.0611978 | Time: 3004.18 ms [2020-11-26 14:15:56 main:581] : INFO : Epoch 72 | loss: 0.0611691 | val_loss: 0.0611494 | Time: 3042.83 ms [2020-11-26 14:15:59 main:581] : INFO : Epoch 73 | loss: 0.0611278 | val_loss: 0.0611317 | Time: 3003.23 ms [2020-11-26 14:16:02 main:581] : INFO : Epoch 74 | loss: 0.0611027 | val_loss: 0.0610748 | Time: 3145.86 ms [2020-11-26 14:16:05 main:581] : INFO : Epoch 75 | loss: 0.061047 | val_loss: 0.0609804 | Time: 3089.01 ms [2020-11-26 14:16:08 main:581] : INFO : Epoch 76 | loss: 0.0609646 | val_loss: 0.0609046 | Time: 3064.76 ms [2020-11-26 14:16:11 main:581] : INFO : Epoch 77 | loss: 0.0608935 | val_loss: 0.0608508 | Time: 3145.57 ms [2020-11-26 14:16:14 main:581] : INFO : Epoch 78 | loss: 0.060838 | val_loss: 0.0607848 | Time: 3058.74 ms [2020-11-26 14:16:17 main:581] : INFO : Epoch 79 | loss: 0.0607716 | val_loss: 0.0607274 | Time: 3104.06 ms [2020-11-26 14:16:20 main:581] : INFO : Epoch 80 | loss: 0.0607154 | val_loss: 0.0606695 | Time: 3057.36 ms [2020-11-26 14:16:23 main:581] : INFO : Epoch 81 | loss: 0.0606327 | val_loss: 0.0605639 | Time: 3053.53 ms [2020-11-26 14:16:27 main:581] : INFO : Epoch 82 | loss: 0.0605613 | val_loss: 0.0605705 | Time: 3172.56 ms [2020-11-26 14:16:30 main:581] : INFO : Epoch 83 | loss: 0.0605556 | val_loss: 0.0605172 | Time: 3409.04 ms [2020-11-26 14:16:33 main:581] : INFO : Epoch 84 | loss: 0.0604433 | val_loss: 0.0604072 | Time: 3129.4 ms [2020-11-26 14:16:36 main:581] : INFO : Epoch 85 | loss: 0.0603111 | val_loss: 0.0603042 | Time: 2941.17 ms [2020-11-26 14:16:39 main:581] : INFO : Epoch 86 | loss: 0.060227 | val_loss: 0.0602034 | Time: 3137.84 ms [2020-11-26 14:16:43 main:581] : INFO : Epoch 87 | loss: 0.0600942 | val_loss: 0.0600404 | Time: 3301.01 ms [2020-11-26 14:16:46 main:581] : INFO : Epoch 88 | loss: 0.0599902 | val_loss: 0.0599581 | Time: 3190.9 ms [2020-11-26 14:16:49 main:581] : INFO : Epoch 89 | loss: 0.059902 | val_loss: 0.0597836 | Time: 3451.15 ms [2020-11-26 14:16:52 main:581] : INFO : Epoch 90 | loss: 0.0597404 | val_loss: 0.0596709 | Time: 3170.66 ms [2020-11-26 14:16:56 main:581] : INFO : Epoch 91 | loss: 0.0596623 | val_loss: 0.0595731 | Time: 3319.03 ms [2020-11-26 14:16:59 main:581] : INFO : Epoch 92 | loss: 0.0595825 | val_loss: 0.0594643 | Time: 2979.34 ms [2020-11-26 14:17:02 main:581] : INFO : Epoch 93 | loss: 0.0596039 | val_loss: 0.0597618 | Time: 3079.1 ms [2020-11-26 14:17:05 main:581] : INFO : Epoch 94 | loss: 0.0597273 | val_loss: 0.0598281 | Time: 2962.5 ms [2020-11-26 14:17:08 main:581] : INFO : Epoch 95 | loss: 0.0598236 | val_loss: 0.0598111 | Time: 2985.79 ms [2020-11-26 14:17:11 main:581] : INFO : Epoch 96 | loss: 0.059799 | val_loss: 0.0597203 | Time: 3035.18 ms [2020-11-26 14:17:15 main:581] : INFO : Epoch 97 | loss: 0.0597157 | val_loss: 0.0596649 | Time: 3880.51 ms [2020-11-26 14:17:18 main:581] : INFO : Epoch 98 | loss: 0.0595816 | val_loss: 0.0595181 | Time: 3891.01 ms [2020-11-26 14:17:21 main:581] : INFO : Epoch 99 | loss: 0.0597459 | val_loss: 0.0597672 | Time: 3029.81 ms [2020-11-26 14:17:25 main:581] : INFO : Epoch 100 | loss: 0.0598022 | val_loss: 0.0598093 | Time: 3189.69 ms [2020-11-26 14:17:28 main:581] : INFO : Epoch 101 | loss: 0.0597607 | val_loss: 0.0597869 | Time: 3487.27 ms [2020-11-26 14:17:31 main:581] : INFO : Epoch 102 | loss: 0.0596627 | val_loss: 0.0595982 | Time: 2975.14 ms [2020-11-26 14:17:34 main:581] : INFO : Epoch 103 | loss: 0.0596502 | val_loss: 0.0595959 | Time: 3021.81 ms [2020-11-26 14:17:37 main:581] : INFO : Epoch 104 | loss: 0.0596002 | val_loss: 0.0596273 | Time: 3098.44 ms [2020-11-26 14:17:40 main:581] : INFO : Epoch 105 | loss: 0.0595895 | val_loss: 0.059612 | Time: 3181.43 ms [2020-11-26 14:17:44 main:581] : INFO : Epoch 106 | loss: 0.0595826 | val_loss: 0.0596346 | Time: 3270.55 ms [2020-11-26 14:17:47 main:581] : INFO : Epoch 107 | loss: 0.0596313 | val_loss: 0.0596227 | Time: 3169.4 ms [2020-11-26 14:17:50 main:581] : INFO : Epoch 108 | loss: 0.0596164 | val_loss: 0.0595906 | Time: 2975.43 ms [2020-11-26 14:17:53 main:581] : INFO : Epoch 109 | loss: 0.0595927 | val_loss: 0.0595782 | Time: 3062.78 ms [2020-11-26 14:17:56 main:581] : INFO : Epoch 110 | loss: 0.059589 | val_loss: 0.0595719 | Time: 3024.64 ms [2020-11-26 14:17:59 main:581] : INFO : Epoch 111 | loss: 0.0595948 | val_loss: 0.0595764 | Time: 3007.3 ms [2020-11-26 14:18:02 main:581] : INFO : Epoch 112 | loss: 0.0595365 | val_loss: 0.0595009 | Time: 2966.27 ms [2020-11-26 14:18:05 main:581] : INFO : Epoch 113 | loss: 0.0595536 | val_loss: 0.0595813 | Time: 2959.98 ms [2020-11-26 14:18:08 main:581] : INFO : Epoch 114 | loss: 0.0596696 | val_loss: 0.0596571 | Time: 3068.87 ms [2020-11-26 14:18:11 main:581] : INFO : Epoch 115 | loss: 0.059669 | val_loss: 0.0596271 | Time: 3003.51 ms [2020-11-26 14:18:14 main:581] : INFO : Epoch 116 | loss: 0.0596376 | val_loss: 0.0596147 | Time: 3301.4 ms [2020-11-26 14:18:17 main:581] : INFO : Epoch 117 | loss: 0.0596951 | val_loss: 0.0597181 | Time: 3012.71 ms [2020-11-26 14:18:21 main:581] : INFO : Epoch 118 | loss: 0.059718 | val_loss: 0.0598069 | Time: 3245.27 ms [2020-11-26 14:18:24 main:581] : INFO : Epoch 119 | loss: 0.0598545 | val_loss: 0.0597988 | Time: 3000.02 ms [2020-11-26 14:18:26 main:581] : INFO : Epoch 120 | loss: 0.0598495 | val_loss: 0.059813 | Time: 2983.82 ms [2020-11-26 14:18:30 main:581] : INFO : Epoch 121 | loss: 0.0598458 | val_loss: 0.0598124 | Time: 3036.1 ms [2020-11-26 14:18:33 main:581] : INFO : Epoch 122 | loss: 0.0598402 | val_loss: 0.0598127 | Time: 2979.29 ms [2020-11-26 14:18:36 main:581] : INFO : Epoch 123 | loss: 0.0598346 | val_loss: 0.0597651 | Time: 3038.66 ms [2020-11-26 14:18:39 main:581] : INFO : Epoch 124 | loss: 0.059823 | val_loss: 0.0597643 | Time: 3110.71 ms [2020-11-26 14:18:42 main:581] : INFO : Epoch 125 | loss: 0.0598197 | val_loss: 0.0597644 | Time: 2979.59 ms [2020-11-26 14:18:45 main:581] : INFO : Epoch 126 | loss: 0.0598129 | val_loss: 0.0597577 | Time: 2956.89 ms [2020-11-26 14:18:48 main:581] : INFO : Epoch 127 | loss: 0.0598071 | val_loss: 0.0597527 | Time: 3727.36 ms [2020-11-26 14:18:52 main:581] : INFO : Epoch 128 | loss: 0.0597959 | val_loss: 0.059751 | Time: 3286.58 ms [2020-11-26 14:18:55 main:581] : INFO : Epoch 129 | loss: 0.0597858 | val_loss: 0.0597449 | Time: 3128.98 ms [2020-11-26 14:18:58 main:581] : INFO : Epoch 130 | loss: 0.0597768 | val_loss: 0.0597422 | Time: 3170.42 ms [2020-11-26 14:19:01 main:581] : INFO : Epoch 131 | loss: 0.0597745 | val_loss: 0.059741 | Time: 2937.45 ms [2020-11-26 14:19:04 main:581] : INFO : Epoch 132 | loss: 0.0597705 | val_loss: 0.059716 | Time: 3546.11 ms [2020-11-26 14:19:07 main:581] : INFO : Epoch 133 | loss: 0.059751 | val_loss: 0.0597033 | Time: 3092.66 ms [2020-11-26 14:19:10 main:581] : INFO : Epoch 134 | loss: 0.0597478 | val_loss: 0.0597052 | Time: 3011.77 ms [2020-11-26 14:19:13 main:581] : INFO : Epoch 135 | loss: 0.0597418 | val_loss: 0.0597139 | Time: 2947.75 ms [2020-11-26 14:19:16 main:581] : INFO : Epoch 136 | loss: 0.0597343 | val_loss: 0.0597115 | Time: 2977.51 ms [2020-11-26 14:19:19 main:581] : INFO : Epoch 137 | loss: 0.0597365 | val_loss: 0.0597111 | Time: 3038.21 ms [2020-11-26 14:19:22 main:581] : INFO : Epoch 138 | loss: 0.0597264 | val_loss: 0.0596731 | Time: 2984.81 ms [2020-11-26 14:19:26 main:581] : INFO : Epoch 139 | loss: 0.0597278 | val_loss: 0.0597332 | Time: 3225.06 ms [2020-11-26 14:19:29 main:581] : INFO : Epoch 140 | loss: 0.0598016 | val_loss: 0.0597859 | Time: 3021.31 ms [2020-11-26 14:19:32 main:581] : INFO : Epoch 141 | loss: 0.0598187 | val_loss: 0.0597945 | Time: 2954.15 ms [2020-11-26 14:19:35 main:581] : INFO : Epoch 142 | loss: 0.0598264 | val_loss: 0.0598011 | Time: 2944.34 ms [2020-11-26 14:19:38 main:581] : INFO : Epoch 143 | loss: 0.0598281 | val_loss: 0.0597848 | Time: 2943.62 ms [2020-11-26 14:19:40 main:581] : INFO : Epoch 144 | loss: 0.0598515 | val_loss: 0.0598406 | Time: 2931.71 ms [2020-11-26 14:19:43 main:581] : INFO : Epoch 145 | loss: 0.0598748 | val_loss: 0.0598654 | Time: 3016.5 ms [2020-11-26 14:19:46 main:581] : INFO : Epoch 146 | loss: 0.0599098 | val_loss: 0.0598795 | Time: 2981.07 ms [2020-11-26 14:19:49 main:581] : INFO : Epoch 147 | loss: 0.0599313 | val_loss: 0.0599187 | Time: 2959.59 ms [2020-11-26 14:19:52 main:581] : INFO : Epoch 148 | loss: 0.0599351 | val_loss: 0.0599238 | Time: 2978.09 ms [2020-11-26 14:19:55 main:581] : INFO : Epoch 149 | loss: 0.0599591 | val_loss: 0.0599446 | Time: 2963.68 ms [2020-11-26 14:19:58 main:581] : INFO : Epoch 150 | loss: 0.0599626 | val_loss: 0.0599244 | Time: 2954.84 ms [2020-11-26 14:20:01 main:581] : INFO : Epoch 151 | loss: 0.0600054 | val_loss: 0.0600502 | Time: 3011.13 ms [2020-11-26 14:20:04 main:581] : INFO : Epoch 152 | loss: 0.0601297 | val_loss: 0.0600725 | Time: 2925.66 ms [2020-11-26 14:20:07 main:581] : INFO : Epoch 153 | loss: 0.0601188 | val_loss: 0.0600668 | Time: 2988.52 ms [2020-11-26 14:20:10 main:581] : INFO : Epoch 154 | loss: 0.0601048 | val_loss: 0.0600435 | Time: 3019.12 ms [2020-11-26 14:20:13 main:581] : INFO : Epoch 155 | loss: 0.060098 | val_loss: 0.0600137 | Time: 2974.39 ms [2020-11-26 14:20:16 main:581] : INFO : Epoch 156 | loss: 0.0600716 | val_loss: 0.0600019 | Time: 3056.57 ms [2020-11-26 14:20:19 main:581] : INFO : Epoch 157 | loss: 0.0600675 | val_loss: 0.0600145 | Time: 2978.58 ms [2020-11-26 14:20:22 main:581] : INFO : Epoch 158 | loss: 0.0600543 | val_loss: 0.0599881 | Time: 3013.66 ms [2020-11-26 14:20:25 main:581] : INFO : Epoch 159 | loss: 0.0600419 | val_loss: 0.0599904 | Time: 3087.4 ms [2020-11-26 14:20:28 main:581] : INFO : Epoch 160 | loss: 0.0600311 | val_loss: 0.0599445 | Time: 3087.88 ms [2020-11-26 14:20:32 main:581] : INFO : Epoch 161 | loss: 0.0600027 | val_loss: 0.0599311 | Time: 3054.38 ms [2020-11-26 14:20:35 main:581] : INFO : Epoch 162 | loss: 0.0599856 | val_loss: 0.0599049 | Time: 2982.93 ms [2020-11-26 14:20:37 main:581] : INFO : Epoch 163 | loss: 0.0599441 | val_loss: 0.0598721 | Time: 2990.28 ms [2020-11-26 14:20:41 main:581] : INFO : Epoch 164 | loss: 0.0599042 | val_loss: 0.0598413 | Time: 3069.49 ms [2020-11-26 14:20:44 main:581] : INFO : Epoch 165 | loss: 0.0598693 | val_loss: 0.0598331 | Time: 3008.14 ms [2020-11-26 14:20:47 main:581] : INFO : Epoch 166 | loss: 0.0598642 | val_loss: 0.0598267 | Time: 2977.13 ms [2020-11-26 14:20:50 main:581] : INFO : Epoch 167 | loss: 0.0598339 | val_loss: 0.0598229 | Time: 2986.22 ms [2020-11-26 14:20:53 main:581] : INFO : Epoch 168 | loss: 0.0598338 | val_loss: 0.0598207 | Time: 3072.59 ms [2020-11-26 14:20:56 main:581] : INFO : Epoch 169 | loss: 0.0598215 | val_loss: 0.0598055 | Time: 2992.68 ms [2020-11-26 14:20:59 main:581] : INFO : Epoch 170 | loss: 0.0597974 | val_loss: 0.0597977 | Time: 3019.28 ms [2020-11-26 14:21:02 main:581] : INFO : Epoch 171 | loss: 0.0597821 | val_loss: 0.0597713 | Time: 3106.88 ms [2020-11-26 14:21:05 main:581] : INFO : Epoch 172 | loss: 0.0597701 | val_loss: 0.0597613 | Time: 3078.96 ms [2020-11-26 14:21:08 main:581] : INFO : Epoch 173 | loss: 0.0597474 | val_loss: 0.059746 | Time: 3126.31 ms [2020-11-26 14:21:11 main:581] : INFO : Epoch 174 | loss: 0.0597234 | val_loss: 0.0597211 | Time: 3014.58 ms [2020-11-26 14:21:14 main:581] : INFO : Epoch 175 | loss: 0.0597003 | val_loss: 0.0596969 | Time: 3039.51 ms [2020-11-26 14:21:17 main:581] : INFO : Epoch 176 | loss: 0.0596919 | val_loss: 0.0597027 | Time: 2963.74 ms [2020-11-26 14:21:20 main:581] : INFO : Epoch 177 | loss: 0.0596917 | val_loss: 0.0596799 | Time: 2964.12 ms [2020-11-26 14:21:23 main:581] : INFO : Epoch 178 | loss: 0.0596856 | val_loss: 0.059719 | Time: 3142.8 ms [2020-11-26 14:21:26 main:581] : INFO : Epoch 179 | loss: 0.0596901 | val_loss: 0.0596833 | Time: 3001.94 ms [2020-11-26 14:21:29 main:581] : INFO : Epoch 180 | loss: 0.0596587 | val_loss: 0.0596552 | Time: 3012 ms [2020-11-26 14:21:32 main:581] : INFO : Epoch 181 | loss: 0.0596148 | val_loss: 0.0596118 | Time: 3117.84 ms [2020-11-26 14:21:35 main:581] : INFO : Epoch 182 | loss: 0.0595983 | val_loss: 0.0595868 | Time: 3047.8 ms [2020-11-26 14:21:38 main:581] : INFO : Epoch 183 | loss: 0.0595631 | val_loss: 0.0595514 | Time: 3021.59 ms [2020-11-26 14:21:41 main:581] : INFO : Epoch 184 | loss: 0.0595207 | val_loss: 0.0595147 | Time: 3067.16 ms [2020-11-26 14:21:44 main:581] : INFO : Epoch 185 | loss: 0.05949 | val_loss: 0.0594804 | Time: 3078.74 ms [2020-11-26 14:21:48 main:581] : INFO : Epoch 186 | loss: 0.0594614 | val_loss: 0.0594684 | Time: 3091.96 ms [2020-11-26 14:21:50 main:581] : INFO : Epoch 187 | loss: 0.0594557 | val_loss: 0.0594442 | Time: 2954.72 ms [2020-11-26 14:21:53 main:581] : INFO : Epoch 188 | loss: 0.0594038 | val_loss: 0.0593837 | Time: 2989.52 ms [2020-11-26 14:21:56 main:581] : INFO : Epoch 189 | loss: 0.0593495 | val_loss: 0.0593337 | Time: 2938.08 ms [2020-11-26 14:21:59 main:581] : INFO : Epoch 190 | loss: 0.0593106 | val_loss: 0.0592822 | Time: 3062.11 ms [2020-11-26 14:22:02 main:581] : INFO : Epoch 191 | loss: 0.0592656 | val_loss: 0.0592418 | Time: 2987.81 ms [2020-11-26 14:22:06 main:581] : INFO : Epoch 192 | loss: 0.0592243 | val_loss: 0.0592086 | Time: 3070.79 ms [2020-11-26 14:22:06 main:604] : INFO : Saving trained model to model-final.pt, val_loss 0.0592086 [2020-11-26 14:22:06 main:610] : INFO : Saving end state to config to file [2020-11-26 14:22:06 main:615] : INFO : Success, exiting.. 14:22:06 (15061): 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)