Task 3075860
| Name | rand_automata_0082-1606118020-23562-95_0 |
| Workunit | 1403984 |
| Created | 26 Nov 2020, 22:50:26 UTC |
| Sent | 26 Nov 2020, 23:00:22 UTC |
| Report deadline | 3 Dec 2020, 23:00:22 UTC |
| Received | 26 Nov 2020, 23:10:48 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 4754 |
| Run time | 10 min 1 sec |
| CPU time | 9 min 58 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 18:00:39 main:442] : INFO : Set logging level to 1 [2020-11-26 18:00:39 main:448] : INFO : Running in BOINC Client mode [2020-11-26 18:00:39 main:451] : INFO : Resolving all filenames [2020-11-26 18:00:39 main:459] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-train-val-dataset.hdf5 (exists = 1) [2020-11-26 18:00:39 main:459] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-1606118020-23562-95_0_r1663868997_1 (exists = 0) [2020-11-26 18:00:39 main:459] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-1606118020-23562-95_0_r1663868997_0 (exists = 0) [2020-11-26 18:00:39 main:459] : INFO : Resolved: model-input.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-1606118020-23562-95 (exists = 1) [2020-11-26 18:00:39 main:459] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-26 18:00:39 main:479] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/rand_automata_0082-train-val-dataset.hdf5 [2020-11-26 18:00:39 main:481] : INFO : Configuration: [2020-11-26 18:00:39 main:482] : INFO : Model type: LSTM [2020-11-26 18:00:39 main:483] : INFO : Validation Loss Threshold: 0.0001 [2020-11-26 18:00:39 main:484] : INFO : Max Epochs: 192 [2020-11-26 18:00:39 main:485] : INFO : Batch Size: 32 [2020-11-26 18:00:39 main:486] : INFO : Learning Rate: 0.001 [2020-11-26 18:00:39 main:487] : INFO : Patience: 10 [2020-11-26 18:00:39 main:488] : INFO : Hidden Width: 64 [2020-11-26 18:00:39 main:489] : INFO : # Recurrent Layers: 4 [2020-11-26 18:00:39 main:490] : INFO : # Backend Layers: 2 [2020-11-26 18:00:39 main:491] : INFO : # Threads: 1 [2020-11-26 18:00:39 main:493] : INFO : Preparing Dataset [2020-11-26 18:00:39 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 18:00:39 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 18:00:41 load:106] : INFO : Successfully loaded dataset of 4096 examples into memory. [2020-11-26 18:00:41 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 18:00:41 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 18:00:41 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-26 18:00:41 main:501] : INFO : Creating Model [2020-11-26 18:00:41 main:514] : INFO : Preparing config file [2020-11-26 18:00:41 main:526] : INFO : Creating new config file [2020-11-26 18:00:41 main:545] : INFO : This is a continuation WU, loading previous network [2020-11-26 18:00:42 main:566] : INFO : Loading DataLoader into Memory [2020-11-26 18:00:42 main:569] : INFO : Starting Training [2020-11-26 18:00:46 main:581] : INFO : Epoch 1 | loss: 0.0623918 | val_loss: 0.0623699 | Time: 4916.1 ms [2020-11-26 18:00:49 main:581] : INFO : Epoch 2 | loss: 0.0623739 | val_loss: 0.0623579 | Time: 3028.93 ms [2020-11-26 18:00:52 main:581] : INFO : Epoch 3 | loss: 0.0623536 | val_loss: 0.0623051 | Time: 2991.86 ms [2020-11-26 18:00:56 main:581] : INFO : Epoch 4 | loss: 0.0623321 | val_loss: 0.0623331 | Time: 3045.92 ms [2020-11-26 18:00:59 main:581] : INFO : Epoch 5 | loss: 0.0623462 | val_loss: 0.0623541 | Time: 3087.67 ms [2020-11-26 18:01:02 main:581] : INFO : Epoch 6 | loss: 0.0623529 | val_loss: 0.0623378 | Time: 3003.67 ms [2020-11-26 18:01:05 main:581] : INFO : Epoch 7 | loss: 0.0623499 | val_loss: 0.0623569 | Time: 3046.99 ms [2020-11-26 18:01:08 main:581] : INFO : Epoch 8 | loss: 0.0623571 | val_loss: 0.0623446 | Time: 3008.86 ms [2020-11-26 18:01:11 main:581] : INFO : Epoch 9 | loss: 0.0623829 | val_loss: 0.062377 | Time: 3158.26 ms [2020-11-26 18:01:15 main:581] : INFO : Epoch 10 | loss: 0.0623917 | val_loss: 0.0623859 | Time: 3737.8 ms [2020-11-26 18:01:18 main:581] : INFO : Epoch 11 | loss: 0.0623888 | val_loss: 0.0623697 | Time: 3110.37 ms [2020-11-26 18:01:21 main:581] : INFO : Epoch 12 | loss: 0.0624027 | val_loss: 0.0623969 | Time: 3157.8 ms [2020-11-26 18:01:24 main:581] : INFO : Epoch 13 | loss: 0.0624297 | val_loss: 0.0624362 | Time: 3092.68 ms [2020-11-26 18:01:27 main:581] : INFO : Epoch 14 | loss: 0.0624422 | val_loss: 0.0624296 | Time: 3027.49 ms [2020-11-26 18:01:30 main:581] : INFO : Epoch 15 | loss: 0.062435 | val_loss: 0.0624273 | Time: 3146.71 ms [2020-11-26 18:01:33 main:581] : INFO : Epoch 16 | loss: 0.0624346 | val_loss: 0.0624321 | Time: 3171.97 ms [2020-11-26 18:01:36 main:581] : INFO : Epoch 17 | loss: 0.0624424 | val_loss: 0.0624412 | Time: 3015.17 ms [2020-11-26 18:01:40 main:581] : INFO : Epoch 18 | loss: 0.0624422 | val_loss: 0.0624336 | Time: 3200.86 ms [2020-11-26 18:01:43 main:581] : INFO : Epoch 19 | loss: 0.0624517 | val_loss: 0.0624729 | Time: 3166.99 ms [2020-11-26 18:01:46 main:581] : INFO : Epoch 20 | loss: 0.0624859 | val_loss: 0.0624785 | Time: 3045.7 ms [2020-11-26 18:01:49 main:581] : INFO : Epoch 21 | loss: 0.0625273 | val_loss: 0.0625159 | Time: 3018.67 ms [2020-11-26 18:01:52 main:581] : INFO : Epoch 22 | loss: 0.0625201 | val_loss: 0.0625184 | Time: 3047.78 ms [2020-11-26 18:01:55 main:581] : INFO : Epoch 23 | loss: 0.0625221 | val_loss: 0.0625145 | Time: 3120.59 ms [2020-11-26 18:01:58 main:581] : INFO : Epoch 24 | loss: 0.06253 | val_loss: 0.0625452 | Time: 3051.38 ms [2020-11-26 18:02:01 main:581] : INFO : Epoch 25 | loss: 0.0625672 | val_loss: 0.0625399 | Time: 3088.25 ms [2020-11-26 18:02:04 main:581] : INFO : Epoch 26 | loss: 0.0625891 | val_loss: 0.0625681 | Time: 3047.99 ms [2020-11-26 18:02:07 main:581] : INFO : Epoch 27 | loss: 0.0625928 | val_loss: 0.0625648 | Time: 3058.46 ms [2020-11-26 18:02:10 main:581] : INFO : Epoch 28 | loss: 0.0625914 | val_loss: 0.0625843 | Time: 3154.02 ms [2020-11-26 18:02:13 main:581] : INFO : Epoch 29 | loss: 0.062606 | val_loss: 0.0626174 | Time: 3032.25 ms [2020-11-26 18:02:16 main:581] : INFO : Epoch 30 | loss: 0.0626301 | val_loss: 0.0626137 | Time: 3050.17 ms [2020-11-26 18:02:19 main:581] : INFO : Epoch 31 | loss: 0.062579 | val_loss: 0.0625659 | Time: 3108.34 ms [2020-11-26 18:02:23 main:581] : INFO : Epoch 32 | loss: 0.0625776 | val_loss: 0.0625724 | Time: 3096.48 ms [2020-11-26 18:02:26 main:581] : INFO : Epoch 33 | loss: 0.0625722 | val_loss: 0.0625716 | Time: 3091.94 ms [2020-11-26 18:02:29 main:581] : INFO : Epoch 34 | loss: 0.0625669 | val_loss: 0.0625569 | Time: 3205.18 ms [2020-11-26 18:02:32 main:581] : INFO : Epoch 35 | loss: 0.0625615 | val_loss: 0.0625519 | Time: 3212.91 ms [2020-11-26 18:02:35 main:581] : INFO : Epoch 36 | loss: 0.0625584 | val_loss: 0.0625685 | Time: 3080.76 ms [2020-11-26 18:02:38 main:581] : INFO : Epoch 37 | loss: 0.062571 | val_loss: 0.0625548 | Time: 3099.78 ms [2020-11-26 18:02:41 main:581] : INFO : Epoch 38 | loss: 0.062566 | val_loss: 0.0625642 | Time: 3141.67 ms [2020-11-26 18:02:45 main:581] : INFO : Epoch 39 | loss: 0.0625587 | val_loss: 0.062574 | Time: 3175.38 ms [2020-11-26 18:02:48 main:581] : INFO : Epoch 40 | loss: 0.0625552 | val_loss: 0.0625666 | Time: 3040.98 ms [2020-11-26 18:02:51 main:581] : INFO : Epoch 41 | loss: 0.0625538 | val_loss: 0.0625796 | Time: 3141.59 ms [2020-11-26 18:02:54 main:581] : INFO : Epoch 42 | loss: 0.0625477 | val_loss: 0.0625744 | Time: 3056.37 ms [2020-11-26 18:02:57 main:581] : INFO : Epoch 43 | loss: 0.0625454 | val_loss: 0.0625831 | Time: 3024.45 ms [2020-11-26 18:03:00 main:581] : INFO : Epoch 44 | loss: 0.0625533 | val_loss: 0.0625888 | Time: 3054.76 ms [2020-11-26 18:03:03 main:581] : INFO : Epoch 45 | loss: 0.0625501 | val_loss: 0.06258 | Time: 3081.46 ms [2020-11-26 18:03:06 main:581] : INFO : Epoch 46 | loss: 0.0625523 | val_loss: 0.0625774 | Time: 3036.43 ms [2020-11-26 18:03:09 main:581] : INFO : Epoch 47 | loss: 0.0625512 | val_loss: 0.0625776 | Time: 3029.2 ms [2020-11-26 18:03:12 main:581] : INFO : Epoch 48 | loss: 0.0625514 | val_loss: 0.0625646 | Time: 3023.51 ms [2020-11-26 18:03:15 main:581] : INFO : Epoch 49 | loss: 0.0625511 | val_loss: 0.0625827 | Time: 3040.1 ms [2020-11-26 18:03:18 main:581] : INFO : Epoch 50 | loss: 0.0625551 | val_loss: 0.0625476 | Time: 2994.68 ms [2020-11-26 18:03:21 main:581] : INFO : Epoch 51 | loss: 0.0625495 | val_loss: 0.0625344 | Time: 3100.44 ms [2020-11-26 18:03:24 main:581] : INFO : Epoch 52 | loss: 0.0625482 | val_loss: 0.0625514 | Time: 2986.43 ms [2020-11-26 18:03:27 main:581] : INFO : Epoch 53 | loss: 0.0625479 | val_loss: 0.0625552 | Time: 2991.82 ms [2020-11-26 18:03:30 main:581] : INFO : Epoch 54 | loss: 0.0625461 | val_loss: 0.0625613 | Time: 3056.76 ms [2020-11-26 18:03:33 main:581] : INFO : Epoch 55 | loss: 0.0625482 | val_loss: 0.0625631 | Time: 3095.84 ms [2020-11-26 18:03:36 main:581] : INFO : Epoch 56 | loss: 0.0625723 | val_loss: 0.0625819 | Time: 3038.21 ms [2020-11-26 18:03:39 main:581] : INFO : Epoch 57 | loss: 0.062591 | val_loss: 0.0625968 | Time: 3049.89 ms [2020-11-26 18:03:43 main:581] : INFO : Epoch 58 | loss: 0.0625876 | val_loss: 0.0625918 | Time: 3087.18 ms [2020-11-26 18:03:46 main:581] : INFO : Epoch 59 | loss: 0.0625896 | val_loss: 0.0625749 | Time: 3158.1 ms [2020-11-26 18:03:49 main:581] : INFO : Epoch 60 | loss: 0.0625926 | val_loss: 0.0625918 | Time: 3111.22 ms [2020-11-26 18:03:52 main:581] : INFO : Epoch 61 | loss: 0.0625941 | val_loss: 0.0626066 | Time: 3220.79 ms [2020-11-26 18:03:55 main:581] : INFO : Epoch 62 | loss: 0.0625895 | val_loss: 0.0626097 | Time: 3050.89 ms [2020-11-26 18:03:58 main:581] : INFO : Epoch 63 | loss: 0.0625911 | val_loss: 0.0626158 | Time: 3154.65 ms [2020-11-26 18:04:01 main:581] : INFO : Epoch 64 | loss: 0.06259 | val_loss: 0.0626147 | Time: 3098.7 ms [2020-11-26 18:04:04 main:581] : INFO : Epoch 65 | loss: 0.0625902 | val_loss: 0.0626179 | Time: 3103.31 ms [2020-11-26 18:04:08 main:581] : INFO : Epoch 66 | loss: 0.0625934 | val_loss: 0.0626042 | Time: 3133.46 ms [2020-11-26 18:04:11 main:581] : INFO : Epoch 67 | loss: 0.0625898 | val_loss: 0.0626145 | Time: 3159.58 ms [2020-11-26 18:04:14 main:581] : INFO : Epoch 68 | loss: 0.0625948 | val_loss: 0.0625997 | Time: 3134.57 ms [2020-11-26 18:04:17 main:581] : INFO : Epoch 69 | loss: 0.0625952 | val_loss: 0.0626144 | Time: 3092.86 ms [2020-11-26 18:04:20 main:581] : INFO : Epoch 70 | loss: 0.0625911 | val_loss: 0.062597 | Time: 2995.62 ms [2020-11-26 18:04:23 main:581] : INFO : Epoch 71 | loss: 0.0625935 | val_loss: 0.0625774 | Time: 3203.51 ms [2020-11-26 18:04:26 main:581] : INFO : Epoch 72 | loss: 0.0625939 | val_loss: 0.0625847 | Time: 3157.95 ms [2020-11-26 18:04:29 main:581] : INFO : Epoch 73 | loss: 0.0625978 | val_loss: 0.0626241 | Time: 3143.89 ms [2020-11-26 18:04:33 main:581] : INFO : Epoch 74 | loss: 0.0626009 | val_loss: 0.0626195 | Time: 3104.07 ms [2020-11-26 18:04:36 main:581] : INFO : Epoch 75 | loss: 0.0626282 | val_loss: 0.0626391 | Time: 3077.92 ms [2020-11-26 18:04:39 main:581] : INFO : Epoch 76 | loss: 0.0626378 | val_loss: 0.0626162 | Time: 3127.84 ms [2020-11-26 18:04:42 main:581] : INFO : Epoch 77 | loss: 0.0625782 | val_loss: 0.0625768 | Time: 3072.52 ms [2020-11-26 18:04:45 main:581] : INFO : Epoch 78 | loss: 0.0625677 | val_loss: 0.0625586 | Time: 3256.59 ms [2020-11-26 18:04:48 main:581] : INFO : Epoch 79 | loss: 0.0625769 | val_loss: 0.062607 | Time: 3149.87 ms [2020-11-26 18:04:51 main:581] : INFO : Epoch 80 | loss: 0.0626028 | val_loss: 0.0626002 | Time: 3104.38 ms [2020-11-26 18:04:54 main:581] : INFO : Epoch 81 | loss: 0.0626197 | val_loss: 0.0626254 | Time: 3025.5 ms [2020-11-26 18:04:57 main:581] : INFO : Epoch 82 | loss: 0.0626339 | val_loss: 0.0626228 | Time: 3063.32 ms [2020-11-26 18:05:00 main:581] : INFO : Epoch 83 | loss: 0.0626324 | val_loss: 0.0626103 | Time: 3049.61 ms [2020-11-26 18:05:04 main:581] : INFO : Epoch 84 | loss: 0.0626289 | val_loss: 0.0626261 | Time: 3064.29 ms [2020-11-26 18:05:07 main:581] : INFO : Epoch 85 | loss: 0.0626431 | val_loss: 0.0626526 | Time: 3096.56 ms [2020-11-26 18:05:10 main:581] : INFO : Epoch 86 | loss: 0.0626507 | val_loss: 0.0626481 | Time: 3069.06 ms [2020-11-26 18:05:13 main:581] : INFO : Epoch 87 | loss: 0.0626781 | val_loss: 0.0627102 | Time: 3038.5 ms [2020-11-26 18:05:16 main:581] : INFO : Epoch 88 | loss: 0.0627544 | val_loss: 0.0628012 | Time: 3076.27 ms [2020-11-26 18:05:19 main:581] : INFO : Epoch 89 | loss: 0.0628036 | val_loss: 0.062813 | Time: 3028.84 ms [2020-11-26 18:05:22 main:581] : INFO : Epoch 90 | loss: 0.0628091 | val_loss: 0.0628152 | Time: 3036.1 ms [2020-11-26 18:05:25 main:581] : INFO : Epoch 91 | loss: 0.0627966 | val_loss: 0.0627847 | Time: 3075.68 ms [2020-11-26 18:05:28 main:581] : INFO : Epoch 92 | loss: 0.0627715 | val_loss: 0.0627785 | Time: 3118.23 ms [2020-11-26 18:05:31 main:581] : INFO : Epoch 93 | loss: 0.0627573 | val_loss: 0.0627751 | Time: 3230.2 ms [2020-11-26 18:05:34 main:581] : INFO : Epoch 94 | loss: 0.062757 | val_loss: 0.062771 | Time: 3042.07 ms [2020-11-26 18:05:38 main:581] : INFO : Epoch 95 | loss: 0.0627566 | val_loss: 0.0627736 | Time: 3185.14 ms [2020-11-26 18:05:41 main:581] : INFO : Epoch 96 | loss: 0.0627507 | val_loss: 0.062807 | Time: 3170.46 ms [2020-11-26 18:05:44 main:581] : INFO : Epoch 97 | loss: 0.0627732 | val_loss: 0.0628046 | Time: 3040.37 ms [2020-11-26 18:05:47 main:581] : INFO : Epoch 98 | loss: 0.0627757 | val_loss: 0.062815 | Time: 3072.23 ms [2020-11-26 18:05:50 main:581] : INFO : Epoch 99 | loss: 0.0627871 | val_loss: 0.0628134 | Time: 3079 ms [2020-11-26 18:05:53 main:581] : INFO : Epoch 100 | loss: 0.0627863 | val_loss: 0.0628057 | Time: 3018.47 ms [2020-11-26 18:05:56 main:581] : INFO : Epoch 101 | loss: 0.0627882 | val_loss: 0.062813 | Time: 3099.72 ms [2020-11-26 18:05:59 main:581] : INFO : Epoch 102 | loss: 0.062785 | val_loss: 0.0628126 | Time: 3219.39 ms [2020-11-26 18:06:03 main:581] : INFO : Epoch 103 | loss: 0.0627845 | val_loss: 0.0628132 | Time: 3320.81 ms [2020-11-26 18:06:06 main:581] : INFO : Epoch 104 | loss: 0.0627834 | val_loss: 0.0628021 | Time: 3027.84 ms [2020-11-26 18:06:09 main:581] : INFO : Epoch 105 | loss: 0.0627856 | val_loss: 0.0628115 | Time: 3149.62 ms [2020-11-26 18:06:12 main:581] : INFO : Epoch 106 | loss: 0.0627856 | val_loss: 0.0628078 | Time: 3167.28 ms [2020-11-26 18:06:15 main:581] : INFO : Epoch 107 | loss: 0.0627885 | val_loss: 0.062814 | Time: 3133.07 ms [2020-11-26 18:06:18 main:581] : INFO : Epoch 108 | loss: 0.0627864 | val_loss: 0.0628093 | Time: 3152.84 ms [2020-11-26 18:06:21 main:581] : INFO : Epoch 109 | loss: 0.062788 | val_loss: 0.0628016 | Time: 3118.38 ms [2020-11-26 18:06:25 main:581] : INFO : Epoch 110 | loss: 0.0627896 | val_loss: 0.0628173 | Time: 3280.91 ms [2020-11-26 18:06:28 main:581] : INFO : Epoch 111 | loss: 0.0627964 | val_loss: 0.0628142 | Time: 3098.69 ms [2020-11-26 18:06:31 main:581] : INFO : Epoch 112 | loss: 0.0627923 | val_loss: 0.0628098 | Time: 3038.23 ms [2020-11-26 18:06:34 main:581] : INFO : Epoch 113 | loss: 0.0627976 | val_loss: 0.0627992 | Time: 3232.89 ms [2020-11-26 18:06:37 main:581] : INFO : Epoch 114 | loss: 0.0628017 | val_loss: 0.0627923 | Time: 3153.23 ms [2020-11-26 18:06:40 main:581] : INFO : Epoch 115 | loss: 0.0627961 | val_loss: 0.0628044 | Time: 3091.66 ms [2020-11-26 18:06:43 main:581] : INFO : Epoch 116 | loss: 0.0628037 | val_loss: 0.0628159 | Time: 3195 ms [2020-11-26 18:06:46 main:581] : INFO : Epoch 117 | loss: 0.0628364 | val_loss: 0.062838 | Time: 3064.18 ms [2020-11-26 18:06:50 main:581] : INFO : Epoch 118 | loss: 0.0628411 | val_loss: 0.0628469 | Time: 3081.82 ms [2020-11-26 18:06:53 main:581] : INFO : Epoch 119 | loss: 0.0628402 | val_loss: 0.0628352 | Time: 3173.32 ms [2020-11-26 18:06:56 main:581] : INFO : Epoch 120 | loss: 0.0628383 | val_loss: 0.0628492 | Time: 3159.91 ms [2020-11-26 18:06:59 main:581] : INFO : Epoch 121 | loss: 0.0628394 | val_loss: 0.0628461 | Time: 3056.75 ms [2020-11-26 18:07:02 main:581] : INFO : Epoch 122 | loss: 0.0628352 | val_loss: 0.0628396 | Time: 3031.91 ms [2020-11-26 18:07:05 main:581] : INFO : Epoch 123 | loss: 0.0628366 | val_loss: 0.0628644 | Time: 3166.32 ms [2020-11-26 18:07:08 main:581] : INFO : Epoch 124 | loss: 0.0628348 | val_loss: 0.0628464 | Time: 3150.8 ms [2020-11-26 18:07:11 main:581] : INFO : Epoch 125 | loss: 0.0628383 | val_loss: 0.062838 | Time: 3052.45 ms [2020-11-26 18:07:15 main:581] : INFO : Epoch 126 | loss: 0.0628388 | val_loss: 0.0628435 | Time: 3179.43 ms [2020-11-26 18:07:18 main:581] : INFO : Epoch 127 | loss: 0.0628421 | val_loss: 0.0628406 | Time: 3041.2 ms [2020-11-26 18:07:21 main:581] : INFO : Epoch 128 | loss: 0.0628432 | val_loss: 0.0628725 | Time: 3148.97 ms [2020-11-26 18:07:24 main:581] : INFO : Epoch 129 | loss: 0.0628611 | val_loss: 0.0628788 | Time: 3061.56 ms [2020-11-26 18:07:27 main:581] : INFO : Epoch 130 | loss: 0.0628578 | val_loss: 0.0628877 | Time: 3039.56 ms [2020-11-26 18:07:30 main:581] : INFO : Epoch 131 | loss: 0.0628519 | val_loss: 0.0628426 | Time: 3098.92 ms [2020-11-26 18:07:33 main:581] : INFO : Epoch 132 | loss: 0.0628454 | val_loss: 0.0628396 | Time: 3051.47 ms [2020-11-26 18:07:36 main:581] : INFO : Epoch 133 | loss: 0.062846 | val_loss: 0.0628459 | Time: 3060.84 ms [2020-11-26 18:07:39 main:581] : INFO : Epoch 134 | loss: 0.0628413 | val_loss: 0.0628352 | Time: 3081.82 ms [2020-11-26 18:07:42 main:581] : INFO : Epoch 135 | loss: 0.062844 | val_loss: 0.0628448 | Time: 3039.59 ms [2020-11-26 18:07:45 main:581] : INFO : Epoch 136 | loss: 0.0628926 | val_loss: 0.06289 | Time: 3036.29 ms [2020-11-26 18:07:48 main:581] : INFO : Epoch 137 | loss: 0.0629034 | val_loss: 0.0628779 | Time: 3041.29 ms [2020-11-26 18:07:51 main:581] : INFO : Epoch 138 | loss: 0.0628697 | val_loss: 0.0628809 | Time: 3036.87 ms [2020-11-26 18:07:55 main:581] : INFO : Epoch 139 | loss: 0.0628643 | val_loss: 0.0628706 | Time: 3219.97 ms [2020-11-26 18:07:57 main:581] : INFO : Epoch 140 | loss: 0.0628655 | val_loss: 0.0628924 | Time: 2984.64 ms [2020-11-26 18:08:00 main:581] : INFO : Epoch 141 | loss: 0.0628883 | val_loss: 0.0628859 | Time: 3005.25 ms [2020-11-26 18:08:04 main:581] : INFO : Epoch 142 | loss: 0.0628925 | val_loss: 0.0629073 | Time: 3057.61 ms [2020-11-26 18:08:07 main:581] : INFO : Epoch 143 | loss: 0.0628884 | val_loss: 0.0628971 | Time: 3070.06 ms [2020-11-26 18:08:10 main:581] : INFO : Epoch 144 | loss: 0.0628875 | val_loss: 0.0629213 | Time: 3008.38 ms [2020-11-26 18:08:13 main:581] : INFO : Epoch 145 | loss: 0.0628896 | val_loss: 0.0629152 | Time: 3036.46 ms [2020-11-26 18:08:16 main:581] : INFO : Epoch 146 | loss: 0.0628991 | val_loss: 0.0629164 | Time: 3079.63 ms [2020-11-26 18:08:19 main:581] : INFO : Epoch 147 | loss: 0.0628925 | val_loss: 0.0629124 | Time: 3035.94 ms [2020-11-26 18:08:22 main:581] : INFO : Epoch 148 | loss: 0.062895 | val_loss: 0.062919 | Time: 3026.93 ms [2020-11-26 18:08:25 main:581] : INFO : Epoch 149 | loss: 0.0629134 | val_loss: 0.0629349 | Time: 3012.22 ms [2020-11-26 18:08:28 main:581] : INFO : Epoch 150 | loss: 0.0629182 | val_loss: 0.062907 | Time: 3004.78 ms [2020-11-26 18:08:31 main:581] : INFO : Epoch 151 | loss: 0.062922 | val_loss: 0.0629364 | Time: 3068 ms [2020-11-26 18:08:34 main:581] : INFO : Epoch 152 | loss: 0.0629272 | val_loss: 0.0629502 | Time: 3055.27 ms [2020-11-26 18:08:37 main:581] : INFO : Epoch 153 | loss: 0.0629337 | val_loss: 0.0629316 | Time: 3007.43 ms [2020-11-26 18:08:40 main:581] : INFO : Epoch 154 | loss: 0.0629314 | val_loss: 0.0629353 | Time: 3119.71 ms [2020-11-26 18:08:43 main:581] : INFO : Epoch 155 | loss: 0.0629363 | val_loss: 0.0629437 | Time: 3237.74 ms [2020-11-26 18:08:47 main:581] : INFO : Epoch 156 | loss: 0.0629317 | val_loss: 0.0629407 | Time: 3205.7 ms [2020-11-26 18:08:50 main:581] : INFO : Epoch 157 | loss: 0.0629346 | val_loss: 0.0629698 | Time: 3055.05 ms [2020-11-26 18:08:53 main:581] : INFO : Epoch 158 | loss: 0.0629446 | val_loss: 0.0629535 | Time: 3040.47 ms [2020-11-26 18:08:56 main:581] : INFO : Epoch 159 | loss: 0.0629393 | val_loss: 0.0629648 | Time: 3143.98 ms [2020-11-26 18:08:59 main:581] : INFO : Epoch 160 | loss: 0.0629354 | val_loss: 0.0629707 | Time: 3170.22 ms [2020-11-26 18:09:02 main:581] : INFO : Epoch 161 | loss: 0.0629326 | val_loss: 0.0629578 | Time: 3261.3 ms [2020-11-26 18:09:05 main:581] : INFO : Epoch 162 | loss: 0.0629256 | val_loss: 0.0629383 | Time: 3081.01 ms [2020-11-26 18:09:08 main:581] : INFO : Epoch 163 | loss: 0.0629092 | val_loss: 0.0629325 | Time: 3020.57 ms [2020-11-26 18:09:11 main:581] : INFO : Epoch 164 | loss: 0.0629036 | val_loss: 0.0629125 | Time: 3064.81 ms [2020-11-26 18:09:14 main:581] : INFO : Epoch 165 | loss: 0.0629063 | val_loss: 0.0628975 | Time: 3112.53 ms [2020-11-26 18:09:18 main:581] : INFO : Epoch 166 | loss: 0.0629006 | val_loss: 0.0629069 | Time: 3171.23 ms [2020-11-26 18:09:21 main:581] : INFO : Epoch 167 | loss: 0.0629022 | val_loss: 0.0629032 | Time: 3024.25 ms [2020-11-26 18:09:24 main:581] : INFO : Epoch 168 | loss: 0.062903 | val_loss: 0.0629091 | Time: 3023.05 ms [2020-11-26 18:09:27 main:581] : INFO : Epoch 169 | loss: 0.0629025 | val_loss: 0.0629182 | Time: 3110.58 ms [2020-11-26 18:09:30 main:581] : INFO : Epoch 170 | loss: 0.0629024 | val_loss: 0.0629188 | Time: 3151.76 ms [2020-11-26 18:09:33 main:581] : INFO : Epoch 171 | loss: 0.0629098 | val_loss: 0.0629356 | Time: 3072.82 ms [2020-11-26 18:09:36 main:581] : INFO : Epoch 172 | loss: 0.0629068 | val_loss: 0.0629089 | Time: 3070.01 ms [2020-11-26 18:09:39 main:581] : INFO : Epoch 173 | loss: 0.0629051 | val_loss: 0.0629307 | Time: 3185.78 ms [2020-11-26 18:09:43 main:581] : INFO : Epoch 174 | loss: 0.0629024 | val_loss: 0.0629252 | Time: 3230.07 ms [2020-11-26 18:09:46 main:581] : INFO : Epoch 175 | loss: 0.0629061 | val_loss: 0.062917 | Time: 2997.27 ms [2020-11-26 18:09:49 main:581] : INFO : Epoch 176 | loss: 0.0629084 | val_loss: 0.062927 | Time: 3037.69 ms [2020-11-26 18:09:52 main:581] : INFO : Epoch 177 | loss: 0.0629113 | val_loss: 0.0629145 | Time: 3134.1 ms [2020-11-26 18:09:55 main:581] : INFO : Epoch 178 | loss: 0.0629034 | val_loss: 0.062926 | Time: 3142.24 ms [2020-11-26 18:09:58 main:581] : INFO : Epoch 179 | loss: 0.0629248 | val_loss: 0.0629301 | Time: 3113.82 ms [2020-11-26 18:10:01 main:581] : INFO : Epoch 180 | loss: 0.0629314 | val_loss: 0.0629381 | Time: 3013.84 ms [2020-11-26 18:10:04 main:581] : INFO : Epoch 181 | loss: 0.0629376 | val_loss: 0.0629473 | Time: 3138.18 ms [2020-11-26 18:10:07 main:581] : INFO : Epoch 182 | loss: 0.0629357 | val_loss: 0.062944 | Time: 3137.24 ms [2020-11-26 18:10:10 main:581] : INFO : Epoch 183 | loss: 0.0629295 | val_loss: 0.0629405 | Time: 3080.57 ms [2020-11-26 18:10:13 main:581] : INFO : Epoch 184 | loss: 0.0629379 | val_loss: 0.0629564 | Time: 3064.04 ms [2020-11-26 18:10:16 main:581] : INFO : Epoch 185 | loss: 0.0629356 | val_loss: 0.0629434 | Time: 3082.47 ms [2020-11-26 18:10:20 main:581] : INFO : Epoch 186 | loss: 0.0629299 | val_loss: 0.0629416 | Time: 3116.81 ms [2020-11-26 18:10:23 main:581] : INFO : Epoch 187 | loss: 0.0629383 | val_loss: 0.0629644 | Time: 3122.7 ms [2020-11-26 18:10:26 main:581] : INFO : Epoch 188 | loss: 0.0629422 | val_loss: 0.0629505 | Time: 3042.26 ms [2020-11-26 18:10:29 main:581] : INFO : Epoch 189 | loss: 0.063001 | val_loss: 0.0630214 | Time: 3038.37 ms [2020-11-26 18:10:32 main:581] : INFO : Epoch 190 | loss: 0.0630012 | val_loss: 0.0630263 | Time: 3092.97 ms [2020-11-26 18:10:35 main:581] : INFO : Epoch 191 | loss: 0.0629981 | val_loss: 0.0630153 | Time: 3112.84 ms [2020-11-26 18:10:38 main:581] : INFO : Epoch 192 | loss: 0.0629923 | val_loss: 0.0630099 | Time: 3105.73 ms [2020-11-26 18:10:38 main:604] : INFO : Saving trained model to model-final.pt, val_loss 0.0630099 [2020-11-26 18:10:38 main:610] : INFO : Saving end state to config to file [2020-11-26 18:10:38 main:615] : INFO : Success, exiting.. 18:10:38 (15556): 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)