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train.log
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train.log
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loaded dataset successfully!
the number of training set images: 950
Loading pretrained model from train_result/model/epoch_374/model.pdparams
There are 444/444 variables loaded into MBCNN.
[Epoch 375/1000] [Batch 0/30] [loss: 0.046000] [loss1: 0.016024] [loss2: 0.014076] [loss3: 0.0159003] [lr: 0.000010] ETA: 1 day, 13:53:04.668946
[Epoch 375/1000] [Batch 10/30] [loss: 0.046073] [loss1: 0.017237] [loss2: 0.014827] [loss3: 0.0140089] [lr: 0.000010] ETA: 1 day, 14:33:18.960161
[Epoch 375/1000] [Batch 20/30] [loss: 0.038473] [loss1: 0.013872] [loss2: 0.012588] [loss3: 0.0120128] [lr: 0.000010] ETA: 1 day, 2:26:48.884852 validation loss:[Epoch 375/1000] [mean loss: 0.056648] [mean PSNR: 35.480429]
[Epoch 376/1000] [Batch 0/30] [loss: 0.038200] [loss1: 0.013019] [loss2: 0.011610] [loss3: 0.0135711] [lr: 0.000010] ETA: 2 days, 14:11:21.569138
[Epoch 376/1000] [Batch 10/30] [loss: 0.056810] [loss1: 0.019363] [loss2: 0.018287] [loss3: 0.0191597] [lr: 0.000010] ETA: 1 day, 4:30:31.199844
[Epoch 376/1000] [Batch 20/30] [loss: 0.044730] [loss1: 0.015749] [loss2: 0.014155] [loss3: 0.0148265] [lr: 0.000010] ETA: 1 day, 6:54:07.144890 validation loss:[Epoch 376/1000] [mean loss: 0.044804] [mean PSNR: 36.421853]
[Epoch 377/1000] [Batch 0/30] [loss: 0.041328] [loss1: 0.014194] [loss2: 0.012669] [loss3: 0.0144654] [lr: 0.000010] ETA: 2 days, 8:22:44.356728
[Epoch 377/1000] [Batch 10/30] [loss: 0.058596] [loss1: 0.020080] [loss2: 0.018289] [loss3: 0.0202273] [lr: 0.000010] ETA: 1 day, 1:20:33.807039
[Epoch 377/1000] [Batch 20/30] [loss: 0.039538] [loss1: 0.013452] [loss2: 0.011966] [loss3: 0.0141199] [lr: 0.000010] ETA: 1 day, 12:08:00.598214 validation loss:[Epoch 377/1000] [mean loss: 0.053009] [mean PSNR: 35.748815]
[Epoch 378/1000] [Batch 0/30] [loss: 0.048476] [loss1: 0.016009] [loss2: 0.014314] [loss3: 0.0181542] [lr: 0.000010] ETA: 2 days, 13:55:09.154201
[Epoch 378/1000] [Batch 10/30] [loss: 0.042602] [loss1: 0.015336] [loss2: 0.012829] [loss3: 0.0144377] [lr: 0.000010] ETA: 23:41:21.780314
[Epoch 378/1000] [Batch 20/30] [loss: 0.037979] [loss1: 0.013360] [loss2: 0.011613] [loss3: 0.0130054] [lr: 0.000010] ETA: 1 day, 12:18:09.918118 validation loss:[Epoch 378/1000] [mean loss: 0.047448] [mean PSNR: 36.110974]
[Epoch 379/1000] [Batch 0/30] [loss: 0.042309] [loss1: 0.014637] [loss2: 0.012842] [loss3: 0.0148304] [lr: 0.000010] ETA: 2 days, 2:32:09.005435
[Epoch 379/1000] [Batch 10/30] [loss: 0.043876] [loss1: 0.014988] [loss2: 0.013274] [loss3: 0.0156137] [lr: 0.000010] ETA: 1 day, 4:26:50.936704
[Epoch 379/1000] [Batch 20/30] [loss: 0.036662] [loss1: 0.013009] [loss2: 0.011172] [loss3: 0.0124813] [lr: 0.000010] ETA: 1 day, 7:11:59.679790 validation loss:[Epoch 379/1000] [mean loss: 0.057488] [mean PSNR: 34.976570]
[Epoch 380/1000] [Batch 0/30] [loss: 0.036063] [loss1: 0.013353] [loss2: 0.011056] [loss3: 0.0116538] [lr: 0.000010] ETA: 2 days, 5:47:09.371881
[Epoch 380/1000] [Batch 10/30] [loss: 0.036603] [loss1: 0.012881] [loss2: 0.010768] [loss3: 0.0129544] [lr: 0.000010] ETA: 1 day, 5:42:21.435935
[Epoch 380/1000] [Batch 20/30] [loss: 0.044066] [loss1: 0.015444] [loss2: 0.013282] [loss3: 0.0153390] [lr: 0.000010] ETA: 1 day, 10:08:48.264527 validation loss:[Epoch 380/1000] [mean loss: 0.054210] [mean PSNR: 35.741070]
[Epoch 381/1000] [Batch 0/30] [loss: 0.040289] [loss1: 0.013919] [loss2: 0.012684] [loss3: 0.0136864] [lr: 0.000010] ETA: 2 days, 14:58:39.250395
[Epoch 381/1000] [Batch 10/30] [loss: 0.051246] [loss1: 0.016266] [loss2: 0.015760] [loss3: 0.0192196] [lr: 0.000010] ETA: 1 day, 15:22:14.389191
[Epoch 381/1000] [Batch 20/30] [loss: 0.063193] [loss1: 0.021336] [loss2: 0.019905] [loss3: 0.0219517] [lr: 0.000010] ETA: 1 day, 9:50:40.058994 validation loss:[Epoch 381/1000] [mean loss: 0.053661] [mean PSNR: 35.458813]
[Epoch 382/1000] [Batch 0/30] [loss: 0.042086] [loss1: 0.014001] [loss2: 0.012519] [loss3: 0.0155663] [lr: 0.000010] ETA: 2 days, 14:56:42.959132
[Epoch 382/1000] [Batch 10/30] [loss: 0.039471] [loss1: 0.013565] [loss2: 0.011841] [loss3: 0.0140653] [lr: 0.000010] ETA: 1 day, 9:40:58.021033
[Epoch 382/1000] [Batch 20/30] [loss: 0.044675] [loss1: 0.014222] [loss2: 0.013336] [loss3: 0.0171171] [lr: 0.000010] ETA: 1 day, 13:59:18.388329 validation loss:[Epoch 382/1000] [mean loss: 0.063677] [mean PSNR: 34.998222]
[Epoch 383/1000] [Batch 0/30] [loss: 0.038352] [loss1: 0.013573] [loss2: 0.011624] [loss3: 0.0131548] [lr: 0.000010] ETA: 2 days, 10:10:14.949002
[Epoch 383/1000] [Batch 10/30] [loss: 0.043350] [loss1: 0.013681] [loss2: 0.012352] [loss3: 0.0173174] [lr: 0.000010] ETA: 1 day, 1:08:13.759990
[Epoch 383/1000] [Batch 20/30] [loss: 0.032986] [loss1: 0.011671] [loss2: 0.009886] [loss3: 0.0114286] [lr: 0.000010] ETA: 1 day, 6:08:41.582780 validation loss:[Epoch 383/1000] [mean loss: 0.054647] [mean PSNR: 35.630331]
[Epoch 384/1000] [Batch 0/30] [loss: 0.038776] [loss1: 0.012759] [loss2: 0.011779] [loss3: 0.0142372] [lr: 0.000010] ETA: 2 days, 10:51:59.280510
[Epoch 384/1000] [Batch 10/30] [loss: 0.039976] [loss1: 0.014640] [loss2: 0.011975] [loss3: 0.0133608] [lr: 0.000010] ETA: 1 day, 0:23:15.836852
[Epoch 384/1000] [Batch 20/30] [loss: 0.048509] [loss1: 0.017730] [loss2: 0.014912] [loss3: 0.0158677] [lr: 0.000010] ETA: 1 day, 7:19:22.509561 validation loss:[Epoch 384/1000] [mean loss: 0.053102] [mean PSNR: 35.579290]
[Epoch 385/1000] [Batch 0/30] [loss: 0.042144] [loss1: 0.014261] [loss2: 0.012930] [loss3: 0.0149536] [lr: 0.000010] ETA: 2 days, 5:59:04.785333
[Epoch 385/1000] [Batch 10/30] [loss: 0.046402] [loss1: 0.015242] [loss2: 0.013951] [loss3: 0.0172093] [lr: 0.000010] ETA: 1 day, 16:56:16.201286
[Epoch 385/1000] [Batch 20/30] [loss: 0.048911] [loss1: 0.014938] [loss2: 0.014567] [loss3: 0.0194053] [lr: 0.000010] ETA: 1 day, 14:12:30.987206 validation loss:[Epoch 385/1000] [mean loss: 0.058861] [mean PSNR: 35.991784]
[Epoch 386/1000] [Batch 0/30] [loss: 0.069456] [loss1: 0.023071] [loss2: 0.021792] [loss3: 0.0245935] [lr: 0.000010] ETA: 2 days, 11:10:13.476076
[Epoch 386/1000] [Batch 10/30] [loss: 0.045163] [loss1: 0.016070] [loss2: 0.013782] [loss3: 0.0153110] [lr: 0.000010] ETA: 1 day, 4:09:46.340606
[Epoch 386/1000] [Batch 20/30] [loss: 0.054017] [loss1: 0.019243] [loss2: 0.017134] [loss3: 0.0176400] [lr: 0.000010] ETA: 1 day, 7:10:31.658745 validation loss:[Epoch 386/1000] [mean loss: 0.058254] [mean PSNR: 35.598139]
[Epoch 387/1000] [Batch 0/30] [loss: 0.041741] [loss1: 0.014602] [loss2: 0.013072] [loss3: 0.0140666] [lr: 0.000010] ETA: 2 days, 9:34:49.919801
[Epoch 387/1000] [Batch 10/30] [loss: 0.038141] [loss1: 0.012936] [loss2: 0.011187] [loss3: 0.0140186] [lr: 0.000010] ETA: 1 day, 15:00:45.774298
[Epoch 387/1000] [Batch 20/30] [loss: 0.043399] [loss1: 0.015338] [loss2: 0.013536] [loss3: 0.0145252] [lr: 0.000010] ETA: 1 day, 4:35:56.785815 validation loss:[Epoch 387/1000] [mean loss: 0.051081] [mean PSNR: 36.151571]
[Epoch 388/1000] [Batch 0/30] [loss: 0.032714] [loss1: 0.011399] [loss2: 0.009810] [loss3: 0.0115044] [lr: 0.000010] ETA: 2 days, 16:20:07.762585
[Epoch 388/1000] [Batch 10/30] [loss: 0.039390] [loss1: 0.014055] [loss2: 0.012177] [loss3: 0.0131585] [lr: 0.000010] ETA: 1 day, 6:40:01.038063
[Epoch 388/1000] [Batch 20/30] [loss: 0.056821] [loss1: 0.018787] [loss2: 0.017947] [loss3: 0.0200880] [lr: 0.000010] ETA: 1 day, 14:42:18.934269 validation loss:[Epoch 388/1000] [mean loss: 0.057069] [mean PSNR: 35.223687]
[Epoch 389/1000] [Batch 0/30] [loss: 0.045671] [loss1: 0.014983] [loss2: 0.013254] [loss3: 0.0174351] [lr: 0.000010] ETA: 2 days, 7:24:12.598407
[Epoch 389/1000] [Batch 10/30] [loss: 0.041453] [loss1: 0.014392] [loss2: 0.012876] [loss3: 0.0141844] [lr: 0.000010] ETA: 1 day, 4:50:59.113998
[Epoch 389/1000] [Batch 20/30] [loss: 0.050521] [loss1: 0.017435] [loss2: 0.015850] [loss3: 0.0172360] [lr: 0.000010] ETA: 1 day, 18:08:10.642197 validation loss:[Epoch 389/1000] [mean loss: 0.059196] [mean PSNR: 35.656196]
[Epoch 390/1000] [Batch 0/30] [loss: 0.048216] [loss1: 0.018444] [loss2: 0.015413] [loss3: 0.0143587] [lr: 0.000010] ETA: 2 days, 18:28:43.622847
[Epoch 390/1000] [Batch 10/30] [loss: 0.048490] [loss1: 0.016637] [loss2: 0.015183] [loss3: 0.0166710] [lr: 0.000010] ETA: 1 day, 5:59:06.658990
[Epoch 390/1000] [Batch 20/30] [loss: 0.038435] [loss1: 0.014109] [loss2: 0.011804] [loss3: 0.0125217] [lr: 0.000010] ETA: 1 day, 8:36:34.045429 validation loss:[Epoch 390/1000] [mean loss: 0.047161] [mean PSNR: 36.233777]
[Epoch 391/1000] [Batch 0/30] [loss: 0.041318] [loss1: 0.014883] [loss2: 0.012601] [loss3: 0.0138336] [lr: 0.000010] ETA: 2 days, 8:10:36.715307
[Epoch 391/1000] [Batch 10/30] [loss: 0.044682] [loss1: 0.015267] [loss2: 0.014257] [loss3: 0.0151580] [lr: 0.000010] ETA: 1 day, 10:02:11.335597
[Epoch 391/1000] [Batch 20/30] [loss: 0.040602] [loss1: 0.013831] [loss2: 0.013021] [loss3: 0.0137491] [lr: 0.000010] ETA: 1 day, 11:29:03.081689 validation loss:[Epoch 391/1000] [mean loss: 0.060492] [mean PSNR: 35.391949]
[Epoch 392/1000] [Batch 0/30] [loss: 0.043210] [loss1: 0.014970] [loss2: 0.013138] [loss3: 0.0151025] [lr: 0.000010] ETA: 2 days, 6:58:18.945007
[Epoch 392/1000] [Batch 10/30] [loss: 0.057732] [loss1: 0.019370] [loss2: 0.018244] [loss3: 0.0201175] [lr: 0.000010] ETA: 1 day, 8:40:47.383826
[Epoch 392/1000] [Batch 20/30] [loss: 0.036309] [loss1: 0.012916] [loss2: 0.010821] [loss3: 0.0125711] [lr: 0.000010] ETA: 1 day, 2:38:09.675183 validation loss:[Epoch 392/1000] [mean loss: 0.053767] [mean PSNR: 36.046623]
[Epoch 393/1000] [Batch 0/30] [loss: 0.045902] [loss1: 0.014998] [loss2: 0.013434] [loss3: 0.0174709] [lr: 0.000010] ETA: 2 days, 5:28:26.621060
[Epoch 393/1000] [Batch 10/30] [loss: 0.038925] [loss1: 0.013893] [loss2: 0.011830] [loss3: 0.0132017] [lr: 0.000010] ETA: 1 day, 7:33:19.186134
[Epoch 393/1000] [Batch 20/30] [loss: 0.038462] [loss1: 0.012775] [loss2: 0.011191] [loss3: 0.0144959] [lr: 0.000010] ETA: 1 day, 4:57:06.779130 validation loss:[Epoch 393/1000] [mean loss: 0.047187] [mean PSNR: 37.045012]
[Epoch 394/1000] [Batch 0/30] [loss: 0.039804] [loss1: 0.013745] [loss2: 0.012174] [loss3: 0.0138853] [lr: 0.000010] ETA: 2 days, 7:56:18.111448
[Epoch 394/1000] [Batch 10/30] [loss: 0.045151] [loss1: 0.016283] [loss2: 0.013739] [loss3: 0.0151290] [lr: 0.000010] ETA: 1 day, 11:13:59.124348
[Epoch 394/1000] [Batch 20/30] [loss: 0.052024] [loss1: 0.016649] [loss2: 0.016183] [loss3: 0.0191923] [lr: 0.000010] ETA: 1 day, 5:57:23.851433 validation loss:[Epoch 394/1000] [mean loss: 0.058994] [mean PSNR: 35.216386]
[Epoch 395/1000] [Batch 0/30] [loss: 0.032711] [loss1: 0.011702] [loss2: 0.009981] [loss3: 0.0110276] [lr: 0.000010] ETA: 2 days, 13:54:55.305920
[Epoch 395/1000] [Batch 10/30] [loss: 0.041198] [loss1: 0.014690] [loss2: 0.012546] [loss3: 0.0139613] [lr: 0.000010] ETA: 1 day, 5:11:49.611144
[Epoch 395/1000] [Batch 20/30] [loss: 0.042363] [loss1: 0.014645] [loss2: 0.012857] [loss3: 0.0148608] [lr: 0.000010] ETA: 1 day, 7:24:22.260160 validation loss:[Epoch 395/1000] [mean loss: 0.053440] [mean PSNR: 35.427538]
[Epoch 396/1000] [Batch 0/30] [loss: 0.042021] [loss1: 0.014251] [loss2: 0.013010] [loss3: 0.0147594] [lr: 0.000010] ETA: 2 days, 10:18:56.129065
[Epoch 396/1000] [Batch 10/30] [loss: 0.040678] [loss1: 0.014119] [loss2: 0.012542] [loss3: 0.0140178] [lr: 0.000010] ETA: 1 day, 0:11:46.780326
[Epoch 396/1000] [Batch 20/30] [loss: 0.035513] [loss1: 0.012418] [loss2: 0.011151] [loss3: 0.0119440] [lr: 0.000010] ETA: 1 day, 5:00:33.025193 validation loss:[Epoch 396/1000] [mean loss: 0.053097] [mean PSNR: 35.898499]
[Epoch 397/1000] [Batch 0/30] [loss: 0.037411] [loss1: 0.013284] [loss2: 0.011683] [loss3: 0.0124446] [lr: 0.000010] ETA: 2 days, 11:08:35.197999
[Epoch 397/1000] [Batch 10/30] [loss: 0.040344] [loss1: 0.014186] [loss2: 0.012750] [loss3: 0.0134078] [lr: 0.000010] ETA: 1 day, 0:13:56.091385
[Epoch 397/1000] [Batch 20/30] [loss: 0.043149] [loss1: 0.015624] [loss2: 0.012773] [loss3: 0.0147515] [lr: 0.000010] ETA: 1 day, 8:23:18.951638 validation loss:[Epoch 397/1000] [mean loss: 0.055551] [mean PSNR: 35.815300]
[Epoch 398/1000] [Batch 0/30] [loss: 0.051585] [loss1: 0.017206] [loss2: 0.016335] [loss3: 0.0180437] [lr: 0.000010] ETA: 2 days, 20:35:51.458716
[Epoch 398/1000] [Batch 10/30] [loss: 0.038643] [loss1: 0.013155] [loss2: 0.012023] [loss3: 0.0134647] [lr: 0.000010] ETA: 1 day, 9:45:41.938686
[Epoch 398/1000] [Batch 20/30] [loss: 0.045835] [loss1: 0.015721] [loss2: 0.014689] [loss3: 0.0154243] [lr: 0.000010] ETA: 1 day, 11:08:35.844936 validation loss:[Epoch 398/1000] [mean loss: 0.054165] [mean PSNR: 35.770405]
[Epoch 399/1000] [Batch 0/30] [loss: 0.043275] [loss1: 0.014569] [loss2: 0.012997] [loss3: 0.0157086] [lr: 0.000010] ETA: 2 days, 7:29:06.696775
[Epoch 399/1000] [Batch 10/30] [loss: 0.043427] [loss1: 0.014700] [loss2: 0.013703] [loss3: 0.0150238] [lr: 0.000010] ETA: 1 day, 3:16:14.428511
[Epoch 399/1000] [Batch 20/30] [loss: 0.037508] [loss1: 0.012910] [loss2: 0.011862] [loss3: 0.0127364] [lr: 0.000010] ETA: 1 day, 13:57:58.954651 validation loss:[Epoch 399/1000] [mean loss: 0.055483] [mean PSNR: 35.162265]
[Epoch 400/1000] [Batch 0/30] [loss: 0.051852] [loss1: 0.017908] [loss2: 0.016563] [loss3: 0.0173815] [lr: 0.000010] ETA: 2 days, 4:31:11.638584
[Epoch 400/1000] [Batch 10/30] [loss: 0.041568] [loss1: 0.014374] [loss2: 0.012860] [loss3: 0.0143339] [lr: 0.000010] ETA: 1 day, 4:29:36.439073
[Epoch 400/1000] [Batch 20/30] [loss: 0.036431] [loss1: 0.013228] [loss2: 0.010852] [loss3: 0.0123499] [lr: 0.000010] ETA: 1 day, 10:18:24.696407 validation loss:[Epoch 400/1000] [mean loss: 0.055477] [mean PSNR: 35.863681]
[Epoch 401/1000] [Batch 0/30] [loss: 0.035931] [loss1: 0.012772] [loss2: 0.011211] [loss3: 0.0119478] [lr: 0.000010] ETA: 2 days, 20:50:53.033352
[Epoch 401/1000] [Batch 10/30] [loss: 0.062789] [loss1: 0.020849] [loss2: 0.019884] [loss3: 0.0220554] [lr: 0.000010] ETA: 1 day, 6:14:03.007135
[Epoch 401/1000] [Batch 20/30] [loss: 0.042316] [loss1: 0.014683] [loss2: 0.012938] [loss3: 0.0146951] [lr: 0.000010] ETA: 1 day, 5:26:04.805031 validation loss:[Epoch 401/1000] [mean loss: 0.056869] [mean PSNR: 35.306235]
[Epoch 402/1000] [Batch 0/30] [loss: 0.046054] [loss1: 0.015898] [loss2: 0.014348] [loss3: 0.0158083] [lr: 0.000010] ETA: 2 days, 10:40:30.935211
[Epoch 402/1000] [Batch 10/30] [loss: 0.049194] [loss1: 0.015857] [loss2: 0.015124] [loss3: 0.0182137] [lr: 0.000010] ETA: 1 day, 5:14:14.441504
[Epoch 402/1000] [Batch 20/30] [loss: 0.045179] [loss1: 0.016037] [loss2: 0.013923] [loss3: 0.0152178] [lr: 0.000010] ETA: 21:02:47.651367 validation loss:[Epoch 402/1000] [mean loss: 0.058895] [mean PSNR: 35.471022]
[Epoch 403/1000] [Batch 0/30] [loss: 0.045344] [loss1: 0.015695] [loss2: 0.014273] [loss3: 0.0153759] [lr: 0.000010] ETA: 2 days, 10:56:35.486069
[Epoch 403/1000] [Batch 10/30] [loss: 0.048200] [loss1: 0.017436] [loss2: 0.014980] [loss3: 0.0157838] [lr: 0.000010] ETA: 1 day, 4:23:01.896567
[Epoch 403/1000] [Batch 20/30] [loss: 0.045470] [loss1: 0.014661] [loss2: 0.013601] [loss3: 0.0172088] [lr: 0.000010] ETA: 1 day, 6:21:50.013716 validation loss:[Epoch 403/1000] [mean loss: 0.064300] [mean PSNR: 35.511315]
[Epoch 404/1000] [Batch 0/30] [loss: 0.039965] [loss1: 0.013434] [loss2: 0.012078] [loss3: 0.0144528] [lr: 0.000010] ETA: 2 days, 8:33:38.953543
[Epoch 404/1000] [Batch 10/30] [loss: 0.048385] [loss1: 0.016667] [loss2: 0.015273] [loss3: 0.0164455] [lr: 0.000010] ETA: 1 day, 10:36:58.362482
[Epoch 404/1000] [Batch 20/30] [loss: 0.048168] [loss1: 0.017024] [loss2: 0.014379] [loss3: 0.0167656] [lr: 0.000010] ETA: 1 day, 6:50:06.417704 validation loss:[Epoch 404/1000] [mean loss: 0.056490] [mean PSNR: 35.792374]
[Epoch 405/1000] [Batch 0/30] [loss: 0.041369] [loss1: 0.014617] [loss2: 0.012785] [loss3: 0.0139664] [lr: 0.000010] ETA: 2 days, 10:15:04.747581
[Epoch 405/1000] [Batch 10/30] [loss: 0.044566] [loss1: 0.014857] [loss2: 0.014352] [loss3: 0.0153570] [lr: 0.000010] ETA: 1 day, 7:48:39.220295
[Epoch 405/1000] [Batch 20/30] [loss: 0.033717] [loss1: 0.012000] [loss2: 0.010038] [loss3: 0.0116785] [lr: 0.000010] ETA: 1 day, 6:10:35.051603 validation loss:[Epoch 405/1000] [mean loss: 0.046803] [mean PSNR: 36.867146]
[Epoch 406/1000] [Batch 0/30] [loss: 0.036669] [loss1: 0.012977] [loss2: 0.011315] [loss3: 0.0123765] [lr: 0.000010] ETA: 2 days, 3:50:29.353724
[Epoch 406/1000] [Batch 10/30] [loss: 0.047862] [loss1: 0.015244] [loss2: 0.014475] [loss3: 0.0181425] [lr: 0.000010] ETA: 1 day, 14:12:28.953574
[Epoch 406/1000] [Batch 20/30] [loss: 0.041776] [loss1: 0.014075] [loss2: 0.012953] [loss3: 0.0147482] [lr: 0.000010] ETA: 1 day, 2:22:11.205750 validation loss:[Epoch 406/1000] [mean loss: 0.052557] [mean PSNR: 35.906036]
[Epoch 407/1000] [Batch 0/30] [loss: 0.042931] [loss1: 0.014627] [loss2: 0.013767] [loss3: 0.0145364] [lr: 0.000010] ETA: 2 days, 10:16:37.448487
[Epoch 407/1000] [Batch 10/30] [loss: 0.043494] [loss1: 0.014941] [loss2: 0.013041] [loss3: 0.0155124] [lr: 0.000010] ETA: 1 day, 2:56:54.074130
[Epoch 407/1000] [Batch 20/30] [loss: 0.044342] [loss1: 0.015570] [loss2: 0.013806] [loss3: 0.0149658] [lr: 0.000010] ETA: 1 day, 2:43:46.578701 validation loss:[Epoch 407/1000] [mean loss: 0.055934] [mean PSNR: 35.687767]
[Epoch 408/1000] [Batch 0/30] [loss: 0.037161] [loss1: 0.013428] [loss2: 0.010987] [loss3: 0.0127460] [lr: 0.000010] ETA: 2 days, 10:50:47.097473
[Epoch 408/1000] [Batch 10/30] [loss: 0.039992] [loss1: 0.013879] [loss2: 0.012386] [loss3: 0.0137269] [lr: 0.000010] ETA: 1 day, 11:36:56.211140
[Epoch 408/1000] [Batch 20/30] [loss: 0.054676] [loss1: 0.017015] [loss2: 0.016093] [loss3: 0.0215679] [lr: 0.000010] ETA: 1 day, 14:48:09.938250 validation loss:[Epoch 408/1000] [mean loss: 0.063098] [mean PSNR: 34.901649]
[Epoch 409/1000] [Batch 0/30] [loss: 0.036746] [loss1: 0.013035] [loss2: 0.011298] [loss3: 0.0124129] [lr: 0.000010] ETA: 2 days, 1:26:05.355206
[Epoch 409/1000] [Batch 10/30] [loss: 0.036456] [loss1: 0.012365] [loss2: 0.010936] [loss3: 0.0131550] [lr: 0.000010] ETA: 1 day, 3:08:49.046488
[Epoch 409/1000] [Batch 20/30] [loss: 0.034825] [loss1: 0.011915] [loss2: 0.010705] [loss3: 0.0122045] [lr: 0.000010] ETA: 1 day, 9:25:44.564669 validation loss:[Epoch 409/1000] [mean loss: 0.047062] [mean PSNR: 35.963257]
[Epoch 410/1000] [Batch 0/30] [loss: 0.051154] [loss1: 0.019322] [loss2: 0.015971] [loss3: 0.0158606] [lr: 0.000010] ETA: 2 days, 6:57:17.234759
[Epoch 410/1000] [Batch 10/30] [loss: 0.048620] [loss1: 0.016090] [loss2: 0.015113] [loss3: 0.0174164] [lr: 0.000010] ETA: 1 day, 2:47:36.287377
[Epoch 410/1000] [Batch 20/30] [loss: 0.053657] [loss1: 0.018639] [loss2: 0.016817] [loss3: 0.0182016] [lr: 0.000010] ETA: 20:33:17.547588 validation loss:[Epoch 410/1000] [mean loss: 0.055138] [mean PSNR: 35.542179]
[Epoch 411/1000] [Batch 0/30] [loss: 0.045448] [loss1: 0.014095] [loss2: 0.012850] [loss3: 0.0185028] [lr: 0.000010] ETA: 2 days, 4:02:27.265456
[Epoch 411/1000] [Batch 10/30] [loss: 0.039829] [loss1: 0.013943] [loss2: 0.012341] [loss3: 0.0135444] [lr: 0.000010] ETA: 1 day, 9:52:05.600762
[Epoch 411/1000] [Batch 20/30] [loss: 0.052161] [loss1: 0.017197] [loss2: 0.016360] [loss3: 0.0186050] [lr: 0.000010] ETA: 1 day, 7:46:58.975222 validation loss:[Epoch 411/1000] [mean loss: 0.054926] [mean PSNR: 35.911385]
[Epoch 412/1000] [Batch 0/30] [loss: 0.048780] [loss1: 0.016800] [loss2: 0.014834] [loss3: 0.0171455] [lr: 0.000010] ETA: 2 days, 4:01:58.633547
[Epoch 412/1000] [Batch 10/30] [loss: 0.040522] [loss1: 0.013606] [loss2: 0.012603] [loss3: 0.0143136] [lr: 0.000010] ETA: 1 day, 8:22:11.217117
[Epoch 412/1000] [Batch 20/30] [loss: 0.057261] [loss1: 0.020022] [loss2: 0.018043] [loss3: 0.0191964] [lr: 0.000010] ETA: 1 day, 3:47:31.858554 validation loss:[Epoch 412/1000] [mean loss: 0.051344] [mean PSNR: 35.932860]
[Epoch 413/1000] [Batch 0/30] [loss: 0.043791] [loss1: 0.015506] [loss2: 0.013612] [loss3: 0.0146729] [lr: 0.000010] ETA: 2 days, 10:53:29.599435
[Epoch 413/1000] [Batch 10/30] [loss: 0.045935] [loss1: 0.014820] [loss2: 0.013871] [loss3: 0.0172442] [lr: 0.000010] ETA: 22:37:39.144974
[Epoch 413/1000] [Batch 20/30] [loss: 0.047485] [loss1: 0.017302] [loss2: 0.014854] [loss3: 0.0153294] [lr: 0.000010] ETA: 1 day, 8:40:44.712422 validation loss:[Epoch 413/1000] [mean loss: 0.050391] [mean PSNR: 35.827253]
[Epoch 414/1000] [Batch 0/30] [loss: 0.039248] [loss1: 0.013304] [loss2: 0.012256] [loss3: 0.0136884] [lr: 0.000010] ETA: 2 days, 15:14:50.156207
[Epoch 414/1000] [Batch 10/30] [loss: 0.038376] [loss1: 0.013142] [loss2: 0.011311] [loss3: 0.0139228] [lr: 0.000010] ETA: 1 day, 2:55:54.311814
[Epoch 414/1000] [Batch 20/30] [loss: 0.048320] [loss1: 0.016546] [loss2: 0.015030] [loss3: 0.0167439] [lr: 0.000010] ETA: 1 day, 6:15:41.779404 validation loss:[Epoch 414/1000] [mean loss: 0.053828] [mean PSNR: 35.851319]
[Epoch 415/1000] [Batch 0/30] [loss: 0.040454] [loss1: 0.014269] [loss2: 0.012655] [loss3: 0.0135289] [lr: 0.000010] ETA: 2 days, 13:24:45.523975
[Epoch 415/1000] [Batch 10/30] [loss: 0.047056] [loss1: 0.015178] [loss2: 0.014656] [loss3: 0.0172215] [lr: 0.000010] ETA: 1 day, 2:38:40.670624
[Epoch 415/1000] [Batch 20/30] [loss: 0.037389] [loss1: 0.013561] [loss2: 0.011472] [loss3: 0.0123564] [lr: 0.000010] ETA: 1 day, 2:14:53.781874 validation loss:[Epoch 415/1000] [mean loss: 0.058560] [mean PSNR: 35.280473]
[Epoch 416/1000] [Batch 0/30] [loss: 0.041372] [loss1: 0.014429] [loss2: 0.012798] [loss3: 0.0141442] [lr: 0.000010] ETA: 2 days, 19:05:32.888145
[Epoch 416/1000] [Batch 10/30] [loss: 0.040902] [loss1: 0.013928] [loss2: 0.012555] [loss3: 0.0144187] [lr: 0.000010] ETA: 1 day, 0:39:41.205273
[Epoch 416/1000] [Batch 20/30] [loss: 0.049440] [loss1: 0.016904] [loss2: 0.015185] [loss3: 0.0173502] [lr: 0.000010] ETA: 1 day, 4:42:43.054991 validation loss:[Epoch 416/1000] [mean loss: 0.049535] [mean PSNR: 36.123563]
[Epoch 417/1000] [Batch 0/30] [loss: 0.035163] [loss1: 0.012451] [loss2: 0.010596] [loss3: 0.0121161] [lr: 0.000010] ETA: 2 days, 11:01:41.608515
[Epoch 417/1000] [Batch 10/30] [loss: 0.036613] [loss1: 0.013023] [loss2: 0.010944] [loss3: 0.0126461] [lr: 0.000010] ETA: 1 day, 7:08:20.308762
[Epoch 417/1000] [Batch 20/30] [loss: 0.042162] [loss1: 0.014644] [loss2: 0.012777] [loss3: 0.0147411] [lr: 0.000010] ETA: 1 day, 2:33:05.179291 validation loss:[Epoch 417/1000] [mean loss: 0.061739] [mean PSNR: 35.302199]
[Epoch 418/1000] [Batch 0/30] [loss: 0.034107] [loss1: 0.011630] [loss2: 0.010378] [loss3: 0.0120982] [lr: 0.000010] ETA: 2 days, 6:54:06.570253
[Epoch 418/1000] [Batch 10/30] [loss: 0.042134] [loss1: 0.013777] [loss2: 0.012760] [loss3: 0.0155962] [lr: 0.000010] ETA: 1 day, 5:20:46.550202
[Epoch 418/1000] [Batch 20/30] [loss: 0.034424] [loss1: 0.012513] [loss2: 0.010583] [loss3: 0.0113284] [lr: 0.000010] ETA: 1 day, 8:22:02.348862 validation loss:[Epoch 418/1000] [mean loss: 0.047501] [mean PSNR: 35.854736]
[Epoch 419/1000] [Batch 0/30] [loss: 0.043274] [loss1: 0.014933] [loss2: 0.013059] [loss3: 0.0152814] [lr: 0.000010] ETA: 2 days, 9:43:19.798057
[Epoch 419/1000] [Batch 10/30] [loss: 0.048854] [loss1: 0.015107] [loss2: 0.015190] [loss3: 0.0185571] [lr: 0.000010] ETA: 1 day, 11:20:33.435516
[Epoch 419/1000] [Batch 20/30] [loss: 0.038300] [loss1: 0.013219] [loss2: 0.011509] [loss3: 0.0135711] [lr: 0.000010] ETA: 1 day, 8:45:08.719258 validation loss:[Epoch 419/1000] [mean loss: 0.065128] [mean PSNR: 34.808567]
[Epoch 420/1000] [Batch 0/30] [loss: 0.054322] [loss1: 0.018923] [loss2: 0.016609] [loss3: 0.0187896] [lr: 0.000010] ETA: 2 days, 3:12:18.144779
[Epoch 420/1000] [Batch 10/30] [loss: 0.042432] [loss1: 0.014511] [loss2: 0.013264] [loss3: 0.0146568] [lr: 0.000010] ETA: 1 day, 6:54:31.842339
[Epoch 420/1000] [Batch 20/30] [loss: 0.040854] [loss1: 0.014143] [loss2: 0.013293] [loss3: 0.0134182] [lr: 0.000010] ETA: 1 day, 15:33:40.392895 validation loss:[Epoch 420/1000] [mean loss: 0.058226] [mean PSNR: 35.114535]
[Epoch 421/1000] [Batch 0/30] [loss: 0.038167] [loss1: 0.012859] [loss2: 0.011856] [loss3: 0.0134512] [lr: 0.000010] ETA: 2 days, 13:29:19.858532
[Epoch 421/1000] [Batch 10/30] [loss: 0.062712] [loss1: 0.021503] [loss2: 0.020388] [loss3: 0.0208210] [lr: 0.000010] ETA: 1 day, 11:07:53.627796
[Epoch 421/1000] [Batch 20/30] [loss: 0.046997] [loss1: 0.015921] [loss2: 0.014189] [loss3: 0.0168869] [lr: 0.000010] ETA: 1 day, 7:05:32.899320 validation loss:[Epoch 421/1000] [mean loss: 0.049709] [mean PSNR: 36.465747]
[Epoch 422/1000] [Batch 0/30] [loss: 0.052187] [loss1: 0.016586] [loss2: 0.015591] [loss3: 0.0200103] [lr: 0.000010] ETA: 2 days, 7:56:08.897638
[Epoch 422/1000] [Batch 10/30] [loss: 0.047104] [loss1: 0.016809] [loss2: 0.014811] [loss3: 0.0154846] [lr: 0.000010] ETA: 1 day, 11:38:58.702159
[Epoch 422/1000] [Batch 20/30] [loss: 0.034345] [loss1: 0.012273] [loss2: 0.010416] [loss3: 0.0116562] [lr: 0.000010] ETA: 1 day, 4:44:36.059542loaded dataset successfully!
the number of training set images: 950
Loading pretrained model from train_result/model/epoch_393/model.pdparams
There are 444/444 variables loaded into MBCNN.
[Epoch 394/1000] [Batch 0/30] [loss: 0.044927] [loss1: 0.015985] [loss2: 0.013645] [loss3: 0.0152964] [lr: 0.000005] ETA: 1 day, 8:58:54.085293
[Epoch 394/1000] [Batch 10/30] [loss: 0.041231] [loss1: 0.014460] [loss2: 0.012855] [loss3: 0.0139152] [lr: 0.000005] ETA: 1 day, 11:32:29.112184
[Epoch 394/1000] [Batch 20/30] [loss: 0.039065] [loss1: 0.013976] [loss2: 0.012032] [loss3: 0.0130572] [lr: 0.000005] ETA: 1 day, 9:29:48.316250 validation loss:[Epoch 394/1000] [mean loss: 0.052149] [mean PSNR: 36.083873]
[Epoch 395/1000] [Batch 0/30] [loss: 0.050421] [loss1: 0.015976] [loss2: 0.015121] [loss3: 0.0193245] [lr: 0.000005] ETA: 2 days, 10:48:38.148208
[Epoch 395/1000] [Batch 10/30] [loss: 0.045959] [loss1: 0.016062] [loss2: 0.014251] [loss3: 0.0156456] [lr: 0.000005] ETA: 1 day, 6:30:35.054364
[Epoch 395/1000] [Batch 20/30] [loss: 0.037096] [loss1: 0.012489] [loss2: 0.011486] [loss3: 0.0131204] [lr: 0.000005] ETA: 1 day, 11:05:44.993610 validation loss:[Epoch 395/1000] [mean loss: 0.047819] [mean PSNR: 36.455115]
[Epoch 396/1000] [Batch 0/30] [loss: 0.055597] [loss1: 0.019194] [loss2: 0.016826] [loss3: 0.0195773] [lr: 0.000005] ETA: 2 days, 10:44:07.263823
[Epoch 396/1000] [Batch 10/30] [loss: 0.034516] [loss1: 0.012219] [loss2: 0.010341] [loss3: 0.0119560] [lr: 0.000005] ETA: 1 day, 2:46:15.349712
[Epoch 396/1000] [Batch 20/30] [loss: 0.050893] [loss1: 0.016449] [loss2: 0.015617] [loss3: 0.0188273] [lr: 0.000005] ETA: 1 day, 12:46:35.752954 validation loss:[Epoch 396/1000] [mean loss: 0.052938] [mean PSNR: 36.112352]
[Epoch 397/1000] [Batch 0/30] [loss: 0.046429] [loss1: 0.016286] [loss2: 0.014311] [loss3: 0.0158324] [lr: 0.000005] ETA: 2 days, 16:56:23.838844
[Epoch 397/1000] [Batch 10/30] [loss: 0.040712] [loss1: 0.013261] [loss2: 0.012214] [loss3: 0.0152377] [lr: 0.000005] ETA: 1 day, 8:53:37.149582
[Epoch 397/1000] [Batch 20/30] [loss: 0.036242] [loss1: 0.012707] [loss2: 0.010957] [loss3: 0.0125778] [lr: 0.000005] ETA: 1 day, 3:22:54.459405 validation loss:[Epoch 397/1000] [mean loss: 0.053820] [mean PSNR: 35.617117]
[Epoch 398/1000] [Batch 0/30] [loss: 0.047115] [loss1: 0.016612] [loss2: 0.014510] [loss3: 0.0159923] [lr: 0.000005] ETA: 2 days, 18:02:55.064478
[Epoch 398/1000] [Batch 10/30] [loss: 0.055188] [loss1: 0.018910] [loss2: 0.017596] [loss3: 0.0186834] [lr: 0.000005] ETA: 1 day, 8:51:22.832968
[Epoch 398/1000] [Batch 20/30] [loss: 0.040737] [loss1: 0.014884] [loss2: 0.012330] [loss3: 0.0135227] [lr: 0.000005] ETA: 23:36:20.177021 validation loss:[Epoch 398/1000] [mean loss: 0.063473] [mean PSNR: 35.284482]
[Epoch 399/1000] [Batch 0/30] [loss: 0.040107] [loss1: 0.014365] [loss2: 0.012446] [loss3: 0.0132959] [lr: 0.000005] ETA: 2 days, 10:48:34.843147
[Epoch 399/1000] [Batch 10/30] [loss: 0.043233] [loss1: 0.013622] [loss2: 0.013029] [loss3: 0.0165815] [lr: 0.000005] ETA: 1 day, 10:32:11.776376
[Epoch 399/1000] [Batch 20/30] [loss: 0.053557] [loss1: 0.018970] [loss2: 0.016437] [loss3: 0.0181500] [lr: 0.000005] ETA: 1 day, 4:29:21.907737 validation loss:[Epoch 399/1000] [mean loss: 0.056252] [mean PSNR: 35.633557]
[Epoch 400/1000] [Batch 0/30] [loss: 0.046995] [loss1: 0.015647] [loss2: 0.014915] [loss3: 0.0164327] [lr: 0.000005] ETA: 2 days, 14:39:27.018986
[Epoch 400/1000] [Batch 10/30] [loss: 0.050628] [loss1: 0.017258] [loss2: 0.015464] [loss3: 0.0179058] [lr: 0.000005] ETA: 1 day, 4:56:14.023151
[Epoch 400/1000] [Batch 20/30] [loss: 0.041889] [loss1: 0.014258] [loss2: 0.012897] [loss3: 0.0147337] [lr: 0.000005] ETA: 1 day, 10:24:31.086302 validation loss:[Epoch 400/1000] [mean loss: 0.056573] [mean PSNR: 35.482534]
[Epoch 401/1000] [Batch 0/30] [loss: 0.038724] [loss1: 0.013972] [loss2: 0.011789] [loss3: 0.0129630] [lr: 0.000005] ETA: 2 days, 8:45:43.078995
[Epoch 401/1000] [Batch 10/30] [loss: 0.043028] [loss1: 0.015179] [loss2: 0.013235] [loss3: 0.0146133] [lr: 0.000005] ETA: 1 day, 2:38:13.218470
[Epoch 401/1000] [Batch 20/30] [loss: 0.046264] [loss1: 0.016849] [loss2: 0.014170] [loss3: 0.0152451] [lr: 0.000005] ETA: 1 day, 7:21:37.817409 validation loss:[Epoch 401/1000] [mean loss: 0.053504] [mean PSNR: 36.652057]
[Epoch 402/1000] [Batch 0/30] [loss: 0.036691] [loss1: 0.013174] [loss2: 0.011037] [loss3: 0.0124796] [lr: 0.000005] ETA: 2 days, 7:13:58.916516
[Epoch 402/1000] [Batch 10/30] [loss: 0.044582] [loss1: 0.015532] [loss2: 0.013754] [loss3: 0.0152957] [lr: 0.000005] ETA: 1 day, 4:40:31.666014
[Epoch 402/1000] [Batch 20/30] [loss: 0.050719] [loss1: 0.019589] [loss2: 0.015942] [loss3: 0.0151869] [lr: 0.000005] ETA: 1 day, 3:27:24.763794 validation loss:[Epoch 402/1000] [mean loss: 0.065510] [mean PSNR: 35.127353]
[Epoch 403/1000] [Batch 0/30] [loss: 0.048279] [loss1: 0.017091] [loss2: 0.014809] [loss3: 0.0163790] [lr: 0.000005] ETA: 2 days, 8:50:50.320230
[Epoch 403/1000] [Batch 10/30] [loss: 0.040956] [loss1: 0.013538] [loss2: 0.012210] [loss3: 0.0152081] [lr: 0.000005] ETA: 1 day, 12:28:03.910990
[Epoch 403/1000] [Batch 20/30] [loss: 0.041488] [loss1: 0.014867] [loss2: 0.012241] [loss3: 0.0143800] [lr: 0.000005] ETA: 1 day, 7:49:32.461624 validation loss:[Epoch 403/1000] [mean loss: 0.055101] [mean PSNR: 35.573162]
[Epoch 404/1000] [Batch 0/30] [loss: 0.039937] [loss1: 0.014227] [loss2: 0.012292] [loss3: 0.0134175] [lr: 0.000005] ETA: 2 days, 6:07:49.058647
[Epoch 404/1000] [Batch 10/30] [loss: 0.039691] [loss1: 0.013872] [loss2: 0.012272] [loss3: 0.0135476] [lr: 0.000005] ETA: 1 day, 5:31:51.303506
[Epoch 404/1000] [Batch 20/30] [loss: 0.048770] [loss1: 0.015849] [loss2: 0.015201] [loss3: 0.0177194] [lr: 0.000005] ETA: 1 day, 1:41:49.533854 validation loss:[Epoch 404/1000] [mean loss: 0.059672] [mean PSNR: 35.054892]
[Epoch 405/1000] [Batch 0/30] [loss: 0.045677] [loss1: 0.015962] [loss2: 0.013688] [loss3: 0.0160268] [lr: 0.000005] ETA: 2 days, 7:16:55.708959
[Epoch 405/1000] [Batch 10/30] [loss: 0.047992] [loss1: 0.016825] [loss2: 0.014345] [loss3: 0.0168223] [lr: 0.000005] ETA: 1 day, 3:57:16.333790
[Epoch 405/1000] [Batch 20/30] [loss: 0.042463] [loss1: 0.015285] [loss2: 0.012776] [loss3: 0.0144011] [lr: 0.000005] ETA: 1 day, 11:56:13.473260 validation loss:[Epoch 405/1000] [mean loss: 0.047449] [mean PSNR: 36.883207]
[Epoch 406/1000] [Batch 0/30] [loss: 0.045290] [loss1: 0.015722] [loss2: 0.014161] [loss3: 0.0154067] [lr: 0.000005] ETA: 2 days, 14:22:21.880589
[Epoch 406/1000] [Batch 10/30] [loss: 0.037051] [loss1: 0.012967] [loss2: 0.011177] [loss3: 0.0129077] [lr: 0.000005] ETA: 1 day, 15:13:54.541090
[Epoch 406/1000] [Batch 20/30] [loss: 0.036071] [loss1: 0.013248] [loss2: 0.011007] [loss3: 0.0118162] [lr: 0.000005] ETA: 1 day, 1:21:41.529360 validation loss:[Epoch 406/1000] [mean loss: 0.065140] [mean PSNR: 35.922777]
[Epoch 407/1000] [Batch 0/30] [loss: 0.052529] [loss1: 0.018406] [loss2: 0.016576] [loss3: 0.0175472] [lr: 0.000005] ETA: 2 days, 10:38:48.111055
[Epoch 407/1000] [Batch 10/30] [loss: 0.037249] [loss1: 0.012734] [loss2: 0.010328] [loss3: 0.0141871] [lr: 0.000005] ETA: 1 day, 0:18:15.697999
[Epoch 407/1000] [Batch 20/30] [loss: 0.033259] [loss1: 0.012079] [loss2: 0.010006] [loss3: 0.0111744] [lr: 0.000005] ETA: 1 day, 5:14:21.629839 validation loss:[Epoch 407/1000] [mean loss: 0.055746] [mean PSNR: 35.475106]
[Epoch 408/1000] [Batch 0/30] [loss: 0.052094] [loss1: 0.017701] [loss2: 0.016433] [loss3: 0.0179598] [lr: 0.000005] ETA: 2 days, 12:46:56.278610
[Epoch 408/1000] [Batch 10/30] [loss: 0.042984] [loss1: 0.015043] [loss2: 0.013105] [loss3: 0.0148361] [lr: 0.000005] ETA: 1 day, 4:35:30.798888
[Epoch 408/1000] [Batch 20/30] [loss: 0.041660] [loss1: 0.014822] [loss2: 0.013100] [loss3: 0.0137376] [lr: 0.000005] ETA: 1 day, 7:53:13.602090 validation loss:[Epoch 408/1000] [mean loss: 0.046926] [mean PSNR: 36.625009]
[Epoch 409/1000] [Batch 0/30] [loss: 0.045611] [loss1: 0.015997] [loss2: 0.014139] [loss3: 0.0154754] [lr: 0.000005] ETA: 2 days, 13:30:01.116850
[Epoch 409/1000] [Batch 10/30] [loss: 0.042410] [loss1: 0.014585] [loss2: 0.013375] [loss3: 0.0144501] [lr: 0.000005] ETA: 1 day, 15:42:11.758862
[Epoch 409/1000] [Batch 20/30] [loss: 0.044766] [loss1: 0.015529] [loss2: 0.014068] [loss3: 0.0151691] [lr: 0.000005] ETA: 1 day, 9:25:49.998889 validation loss:[Epoch 409/1000] [mean loss: 0.065101] [mean PSNR: 34.868388]
[Epoch 410/1000] [Batch 0/30] [loss: 0.049573] [loss1: 0.018001] [loss2: 0.015514] [loss3: 0.0160586] [lr: 0.000005] ETA: 2 days, 11:48:46.470637
[Epoch 410/1000] [Batch 10/30] [loss: 0.047313] [loss1: 0.015807] [loss2: 0.014663] [loss3: 0.0168423] [lr: 0.000005] ETA: 1 day, 9:06:45.741489
[Epoch 410/1000] [Batch 20/30] [loss: 0.046921] [loss1: 0.016334] [loss2: 0.014398] [loss3: 0.0161895] [lr: 0.000005] ETA: 1 day, 5:35:35.798168 validation loss:[Epoch 410/1000] [mean loss: 0.052974] [mean PSNR: 36.062822]
[Epoch 411/1000] [Batch 0/30] [loss: 0.034410] [loss1: 0.012297] [loss2: 0.010646] [loss3: 0.0114669] [lr: 0.000005] ETA: 2 days, 9:54:11.236238
[Epoch 411/1000] [Batch 10/30] [loss: 0.045565] [loss1: 0.016317] [loss2: 0.013913] [loss3: 0.0153359] [lr: 0.000005] ETA: 1 day, 5:29:28.283634
[Epoch 411/1000] [Batch 20/30] [loss: 0.038913] [loss1: 0.013681] [loss2: 0.011714] [loss3: 0.0135173] [lr: 0.000005] ETA: 1 day, 4:30:47.350025 validation loss:[Epoch 411/1000] [mean loss: 0.055444] [mean PSNR: 35.765511]
[Epoch 412/1000] [Batch 0/30] [loss: 0.037473] [loss1: 0.013045] [loss2: 0.011444] [loss3: 0.0129846] [lr: 0.000005] ETA: 2 days, 7:04:26.231775
[Epoch 412/1000] [Batch 10/30] [loss: 0.035367] [loss1: 0.012691] [loss2: 0.010798] [loss3: 0.0118780] [lr: 0.000005] ETA: 1 day, 13:38:17.986224
[Epoch 412/1000] [Batch 20/30] [loss: 0.035150] [loss1: 0.011898] [loss2: 0.010220] [loss3: 0.0130328] [lr: 0.000005] ETA: 1 day, 9:00:42.743258 validation loss:[Epoch 412/1000] [mean loss: 0.057200] [mean PSNR: 36.189138]
[Epoch 413/1000] [Batch 0/30] [loss: 0.050740] [loss1: 0.016414] [loss2: 0.015580] [loss3: 0.0187464] [lr: 0.000003] ETA: 2 days, 14:52:20.854254
[Epoch 413/1000] [Batch 10/30] [loss: 0.035677] [loss1: 0.012775] [loss2: 0.010899] [loss3: 0.0120024] [lr: 0.000003] ETA: 1 day, 5:55:33.360672
[Epoch 413/1000] [Batch 20/30] [loss: 0.041018] [loss1: 0.014448] [loss2: 0.012528] [loss3: 0.0140426] [lr: 0.000003] ETA: 1 day, 17:00:13.203373 validation loss:[Epoch 413/1000] [mean loss: 0.056141] [mean PSNR: 36.047528]
[Epoch 414/1000] [Batch 0/30] [loss: 0.038962] [loss1: 0.014000] [loss2: 0.012015] [loss3: 0.0129474] [lr: 0.000003] ETA: 2 days, 11:08:47.467661
[Epoch 414/1000] [Batch 10/30] [loss: 0.044644] [loss1: 0.015073] [loss2: 0.013646] [loss3: 0.0159254] [lr: 0.000003] ETA: 1 day, 3:03:46.430497
[Epoch 414/1000] [Batch 20/30] [loss: 0.040864] [loss1: 0.012681] [loss2: 0.012109] [loss3: 0.0160738] [lr: 0.000003] ETA: 1 day, 11:36:39.935246 validation loss:[Epoch 414/1000] [mean loss: 0.053740] [mean PSNR: 35.867425]
[Epoch 415/1000] [Batch 0/30] [loss: 0.047818] [loss1: 0.016933] [loss2: 0.015439] [loss3: 0.0154458] [lr: 0.000003] ETA: 2 days, 17:29:27.691934
[Epoch 415/1000] [Batch 10/30] [loss: 0.034305] [loss1: 0.012355] [loss2: 0.010407] [loss3: 0.0115428] [lr: 0.000003] ETA: 1 day, 7:02:45.440001
[Epoch 415/1000] [Batch 20/30] [loss: 0.043485] [loss1: 0.015006] [loss2: 0.012472] [loss3: 0.0160072] [lr: 0.000003] ETA: 1 day, 7:45:01.425858 validation loss:[Epoch 415/1000] [mean loss: 0.052869] [mean PSNR: 35.972345]
[Epoch 416/1000] [Batch 0/30] [loss: 0.038229] [loss1: 0.013832] [loss2: 0.011575] [loss3: 0.0128211] [lr: 0.000003] ETA: 2 days, 9:47:47.832012
[Epoch 416/1000] [Batch 10/30] [loss: 0.052860] [loss1: 0.018140] [loss2: 0.016684] [loss3: 0.0180357] [lr: 0.000003] ETA: 1 day, 16:24:41.222219
[Epoch 416/1000] [Batch 20/30] [loss: 0.039727] [loss1: 0.013585] [loss2: 0.012005] [loss3: 0.0141370] [lr: 0.000003] ETA: 1 day, 8:09:35.576234 validation loss:[Epoch 416/1000] [mean loss: 0.057217] [mean PSNR: 35.489369]
[Epoch 417/1000] [Batch 0/30] [loss: 0.042750] [loss1: 0.014421] [loss2: 0.013201] [loss3: 0.0151287] [lr: 0.000003] ETA: 2 days, 9:11:29.412382
[Epoch 417/1000] [Batch 10/30] [loss: 0.042762] [loss1: 0.014676] [loss2: 0.012905] [loss3: 0.0151805] [lr: 0.000003] ETA: 1 day, 9:00:30.187778
[Epoch 417/1000] [Batch 20/30] [loss: 0.052134] [loss1: 0.017507] [loss2: 0.016447] [loss3: 0.0181791] [lr: 0.000003] ETA: 1 day, 7:23:13.713839 validation loss:[Epoch 417/1000] [mean loss: 0.051702] [mean PSNR: 35.817419]
[Epoch 418/1000] [Batch 0/30] [loss: 0.047754] [loss1: 0.014683] [loss2: 0.013032] [loss3: 0.0200382] [lr: 0.000003] ETA: 2 days, 12:09:22.272377
[Epoch 418/1000] [Batch 10/30] [loss: 0.036895] [loss1: 0.013094] [loss2: 0.011016] [loss3: 0.0127844] [lr: 0.000003] ETA: 1 day, 6:03:30.349369
[Epoch 418/1000] [Batch 20/30] [loss: 0.041093] [loss1: 0.014727] [loss2: 0.012777] [loss3: 0.0135889] [lr: 0.000003] ETA: 1 day, 13:03:30.097275 validation loss:[Epoch 418/1000] [mean loss: 0.059585] [mean PSNR: 35.497715]
[Epoch 419/1000] [Batch 0/30] [loss: 0.050122] [loss1: 0.016593] [loss2: 0.016037] [loss3: 0.0174921] [lr: 0.000003] ETA: 2 days, 5:01:32.169793
[Epoch 419/1000] [Batch 10/30] [loss: 0.036327] [loss1: 0.012633] [loss2: 0.011169] [loss3: 0.0125245] [lr: 0.000003] ETA: 1 day, 14:15:48.384690
[Epoch 419/1000] [Batch 20/30] [loss: 0.074894] [loss1: 0.024922] [loss2: 0.023120] [loss3: 0.0268519] [lr: 0.000003] ETA: 1 day, 7:00:00.753899 validation loss:[Epoch 419/1000] [mean loss: 0.052726] [mean PSNR: 35.729628]
[Epoch 420/1000] [Batch 0/30] [loss: 0.040084] [loss1: 0.013690] [loss2: 0.012172] [loss3: 0.0142218] [lr: 0.000003] ETA: 2 days, 12:23:02.062769
[Epoch 420/1000] [Batch 10/30] [loss: 0.042332] [loss1: 0.014775] [loss2: 0.013240] [loss3: 0.0143168] [lr: 0.000003] ETA: 1 day, 5:22:56.142387
[Epoch 420/1000] [Batch 20/30] [loss: 0.049260] [loss1: 0.015589] [loss2: 0.014783] [loss3: 0.0188878] [lr: 0.000003] ETA: 1 day, 7:44:51.434827 validation loss:[Epoch 420/1000] [mean loss: 0.058008] [mean PSNR: 35.227130]
[Epoch 421/1000] [Batch 0/30] [loss: 0.038276] [loss1: 0.011938] [loss2: 0.010626] [loss3: 0.0157118] [lr: 0.000003] ETA: 2 days, 6:24:30.589156
[Epoch 421/1000] [Batch 10/30] [loss: 0.041281] [loss1: 0.014615] [loss2: 0.012426] [loss3: 0.0142403] [lr: 0.000003] ETA: 1 day, 3:25:22.475548
[Epoch 421/1000] [Batch 20/30] [loss: 0.037855] [loss1: 0.013180] [loss2: 0.011523] [loss3: 0.0131515] [lr: 0.000003] ETA: 1 day, 6:51:32.916560 validation loss:[Epoch 421/1000] [mean loss: 0.061453] [mean PSNR: 34.963546]
[Epoch 422/1000] [Batch 0/30] [loss: 0.040208] [loss1: 0.014324] [loss2: 0.012147] [loss3: 0.0137373] [lr: 0.000003] ETA: 2 days, 6:13:43.549290
[Epoch 422/1000] [Batch 10/30] [loss: 0.047804] [loss1: 0.016328] [loss2: 0.014930] [loss3: 0.0165463] [lr: 0.000003] ETA: 1 day, 11:27:51.177788
[Epoch 422/1000] [Batch 20/30] [loss: 0.040345] [loss1: 0.013854] [loss2: 0.012192] [loss3: 0.0142990] [lr: 0.000003] ETA: 1 day, 3:53:41.795273 validation loss:[Epoch 422/1000] [mean loss: 0.051396] [mean PSNR: 35.538154]
[Epoch 423/1000] [Batch 0/30] [loss: 0.040099] [loss1: 0.014162] [loss2: 0.012211] [loss3: 0.0137257] [lr: 0.000003] ETA: 2 days, 6:06:55.855708
[Epoch 423/1000] [Batch 10/30] [loss: 0.051626] [loss1: 0.017174] [loss2: 0.016327] [loss3: 0.0181258] [lr: 0.000003] ETA: 1 day, 6:52:10.675697
[Epoch 423/1000] [Batch 20/30] [loss: 0.033322] [loss1: 0.012508] [loss2: 0.010041] [loss3: 0.0107732] [lr: 0.000003] ETA: 1 day, 4:01:24.265079 validation loss:[Epoch 423/1000] [mean loss: 0.054658] [mean PSNR: 35.486543]
[Epoch 424/1000] [Batch 0/30] [loss: 0.041126] [loss1: 0.015528] [loss2: 0.012814] [loss3: 0.0127840] [lr: 0.000003] ETA: 1 day, 22:59:49.874725
[Epoch 424/1000] [Batch 10/30] [loss: 0.052257] [loss1: 0.016744] [loss2: 0.015313] [loss3: 0.0202006] [lr: 0.000003] ETA: 1 day, 5:13:24.529121
[Epoch 424/1000] [Batch 20/30] [loss: 0.049940] [loss1: 0.017583] [loss2: 0.015617] [loss3: 0.0167402] [lr: 0.000003] ETA: 1 day, 2:43:29.781094 validation loss:[Epoch 424/1000] [mean loss: 0.055450] [mean PSNR: 35.964371]
[Epoch 425/1000] [Batch 0/30] [loss: 0.039414] [loss1: 0.014211] [loss2: 0.012064] [loss3: 0.0131393] [lr: 0.000003] ETA: 1 day, 22:12:38.285308
[Epoch 425/1000] [Batch 10/30] [loss: 0.051862] [loss1: 0.016771] [loss2: 0.015670] [loss3: 0.0194210] [lr: 0.000003] ETA: 1 day, 1:35:27.035074
[Epoch 425/1000] [Batch 20/30] [loss: 0.053747] [loss1: 0.018648] [loss2: 0.016913] [loss3: 0.0181866] [lr: 0.000003] ETA: 21:20:29.820724 validation loss:[Epoch 425/1000] [mean loss: 0.057264] [mean PSNR: 35.757733]
[Epoch 426/1000] [Batch 0/30] [loss: 0.055366] [loss1: 0.018949] [loss2: 0.017274] [loss3: 0.0191425] [lr: 0.000003] ETA: 2 days, 7:43:31.999884
[Epoch 426/1000] [Batch 10/30] [loss: 0.034828] [loss1: 0.013455] [loss2: 0.010520] [loss3: 0.0108537] [lr: 0.000003] ETA: 1 day, 2:13:34.319551
[Epoch 426/1000] [Batch 20/30] [loss: 0.042978] [loss1: 0.013793] [loss2: 0.012953] [loss3: 0.0162324] [lr: 0.000003] ETA: 1 day, 7:43:32.028790 validation loss:[Epoch 426/1000] [mean loss: 0.046068] [mean PSNR: 35.937986]
[Epoch 427/1000] [Batch 0/30] [loss: 0.038500] [loss1: 0.013790] [loss2: 0.011643] [loss3: 0.0130669] [lr: 0.000003] ETA: 2 days, 4:09:56.691749
[Epoch 427/1000] [Batch 10/30] [loss: 0.040072] [loss1: 0.014080] [loss2: 0.011765] [loss3: 0.0142273] [lr: 0.000003] ETA: 23:43:37.438374
[Epoch 427/1000] [Batch 20/30] [loss: 0.041171] [loss1: 0.014547] [loss2: 0.012743] [loss3: 0.0138814] [lr: 0.000003] ETA: 1 day, 5:30:26.893470 validation loss:[Epoch 427/1000] [mean loss: 0.054104] [mean PSNR: 35.981463]
[Epoch 428/1000] [Batch 0/30] [loss: 0.039100] [loss1: 0.013780] [loss2: 0.012008] [loss3: 0.0133116] [lr: 0.000003] ETA: 2 days, 2:14:33.125381
[Epoch 428/1000] [Batch 10/30] [loss: 0.038026] [loss1: 0.013760] [loss2: 0.011700] [loss3: 0.0125659] [lr: 0.000003] ETA: 1 day, 3:25:25.815094
[Epoch 428/1000] [Batch 20/30] [loss: 0.050198] [loss1: 0.016479] [loss2: 0.014874] [loss3: 0.0188457] [lr: 0.000003] ETA: 1 day, 3:37:24.127202 validation loss:[Epoch 428/1000] [mean loss: 0.060416] [mean PSNR: 35.560836]
[Epoch 429/1000] [Batch 0/30] [loss: 0.039480] [loss1: 0.014023] [loss2: 0.011975] [loss3: 0.0134820] [lr: 0.000003] ETA: 2 days, 7:22:34.104609
[Epoch 429/1000] [Batch 10/30] [loss: 0.039522] [loss1: 0.014614] [loss2: 0.012229] [loss3: 0.0126785] [lr: 0.000003] ETA: 18:11:01.877861
[Epoch 429/1000] [Batch 20/30] [loss: 0.046797] [loss1: 0.016516] [loss2: 0.014371] [loss3: 0.0159109] [lr: 0.000003] ETA: 1 day, 0:23:33.981717 validation loss:[Epoch 429/1000] [mean loss: 0.051646] [mean PSNR: 35.910950]
[Epoch 430/1000] [Batch 0/30] [loss: 0.041942] [loss1: 0.014112] [loss2: 0.012251] [loss3: 0.0155796] [lr: 0.000003] ETA: 2 days, 9:22:28.596454
[Epoch 430/1000] [Batch 10/30] [loss: 0.044654] [loss1: 0.016394] [loss2: 0.013247] [loss3: 0.0150122] [lr: 0.000003] ETA: 1 day, 3:41:55.929394
[Epoch 430/1000] [Batch 20/30] [loss: 0.044782] [loss1: 0.015116] [loss2: 0.013790] [loss3: 0.0158760] [lr: 0.000003] ETA: 1 day, 5:19:35.429926 validation loss:[Epoch 430/1000] [mean loss: 0.056438] [mean PSNR: 36.025286]
[Epoch 431/1000] [Batch 0/30] [loss: 0.043298] [loss1: 0.014993] [loss2: 0.013359] [loss3: 0.0149459] [lr: 0.000003] ETA: 2 days, 2:18:59.221129
[Epoch 431/1000] [Batch 10/30] [loss: 0.037709] [loss1: 0.013591] [loss2: 0.011571] [loss3: 0.0125470] [lr: 0.000003] ETA: 1 day, 1:32:48.796978
[Epoch 431/1000] [Batch 20/30] [loss: 0.041296] [loss1: 0.013808] [loss2: 0.011323] [loss3: 0.0161660] [lr: 0.000003] ETA: 21:12:20.597928 validation loss:[Epoch 431/1000] [mean loss: 0.062680] [mean PSNR: 34.848161]
[Epoch 432/1000] [Batch 0/30] [loss: 0.039972] [loss1: 0.013390] [loss2: 0.012393] [loss3: 0.0141896] [lr: 0.000003] ETA: 2 days, 2:07:15.730991
[Epoch 432/1000] [Batch 10/30] [loss: 0.045562] [loss1: 0.015517] [loss2: 0.013375] [loss3: 0.0166700] [lr: 0.000003] ETA: 1 day, 7:56:00.214510
[Epoch 432/1000] [Batch 20/30] [loss: 0.032779] [loss1: 0.011637] [loss2: 0.009880] [loss3: 0.0112625] [lr: 0.000003] ETA: 1 day, 15:00:46.582513 validation loss:[Epoch 432/1000] [mean loss: 0.064381] [mean PSNR: 34.898660]
[Epoch 433/1000] [Batch 0/30] [loss: 0.042416] [loss1: 0.012777] [loss2: 0.013224] [loss3: 0.0164153] [lr: 0.000001] ETA: 2 days, 9:55:49.214358
[Epoch 433/1000] [Batch 10/30] [loss: 0.046588] [loss1: 0.016288] [loss2: 0.014350] [loss3: 0.0159502] [lr: 0.000001] ETA: 1 day, 2:35:48.571396
[Epoch 433/1000] [Batch 20/30] [loss: 0.043754] [loss1: 0.014807] [loss2: 0.013413] [loss3: 0.0155342] [lr: 0.000001] ETA: 1 day, 5:19:23.663020 validation loss:[Epoch 433/1000] [mean loss: 0.060004] [mean PSNR: 36.022980]
[Epoch 434/1000] [Batch 0/30] [loss: 0.052533] [loss1: 0.018767] [loss2: 0.016206] [loss3: 0.0175600] [lr: 0.000001] ETA: 2 days, 9:24:33.202987
[Epoch 434/1000] [Batch 10/30] [loss: 0.059097] [loss1: 0.019784] [loss2: 0.018308] [loss3: 0.0210057] [lr: 0.000001] ETA: 1 day, 4:54:48.688948
[Epoch 434/1000] [Batch 20/30] [loss: 0.043191] [loss1: 0.014810] [loss2: 0.013358] [loss3: 0.0150221] [lr: 0.000001] ETA: 1 day, 13:17:25.730362 validation loss:[Epoch 434/1000] [mean loss: 0.058652] [mean PSNR: 35.886047]
[Epoch 435/1000] [Batch 0/30] [loss: 0.049116] [loss1: 0.015966] [loss2: 0.014058] [loss3: 0.0190921] [lr: 0.000001] ETA: 2 days, 5:42:38.907652
[Epoch 435/1000] [Batch 10/30] [loss: 0.036644] [loss1: 0.013446] [loss2: 0.010965] [loss3: 0.0122327] [lr: 0.000001] ETA: 17:43:19.610858
[Epoch 435/1000] [Batch 20/30] [loss: 0.042114] [loss1: 0.014223] [loss2: 0.012558] [loss3: 0.0153333] [lr: 0.000001] ETA: 1 day, 10:36:55.365589 validation loss:[Epoch 435/1000] [mean loss: 0.055073] [mean PSNR: 35.755705]
[Epoch 436/1000] [Batch 0/30] [loss: 0.041176] [loss1: 0.014090] [loss2: 0.012686] [loss3: 0.0144000] [lr: 0.000001] ETA: 2 days, 1:00:14.513626
[Epoch 436/1000] [Batch 10/30] [loss: 0.050396] [loss1: 0.017924] [loss2: 0.015527] [loss3: 0.0169458] [lr: 0.000001] ETA: 1 day, 3:47:51.714635
[Epoch 436/1000] [Batch 20/30] [loss: 0.044595] [loss1: 0.015883] [loss2: 0.013420] [loss3: 0.0152920] [lr: 0.000001] ETA: 22:21:31.867614 validation loss:[Epoch 436/1000] [mean loss: 0.059532] [mean PSNR: 35.348922]
[Epoch 437/1000] [Batch 0/30] [loss: 0.051194] [loss1: 0.017644] [loss2: 0.015990] [loss3: 0.0175598] [lr: 0.000001] ETA: 2 days, 5:25:46.054451
[Epoch 437/1000] [Batch 10/30] [loss: 0.038254] [loss1: 0.014211] [loss2: 0.011542] [loss3: 0.0125003] [lr: 0.000001] ETA: 20:34:21.757412
[Epoch 437/1000] [Batch 20/30] [loss: 0.053334] [loss1: 0.018374] [loss2: 0.017269] [loss3: 0.0176908] [lr: 0.000001] ETA: 1 day, 7:05:38.354313 validation loss:[Epoch 437/1000] [mean loss: 0.059279] [mean PSNR: 34.943539]
[Epoch 438/1000] [Batch 0/30] [loss: 0.043297] [loss1: 0.015048] [loss2: 0.013504] [loss3: 0.0147454] [lr: 0.000001] ETA: 2 days, 1:56:18.302393
[Epoch 438/1000] [Batch 10/30] [loss: 0.041208] [loss1: 0.013918] [loss2: 0.012326] [loss3: 0.0149643] [lr: 0.000001] ETA: 23:18:39.327652
[Epoch 438/1000] [Batch 20/30] [loss: 0.039461] [loss1: 0.013827] [loss2: 0.012428] [loss3: 0.0132066] [lr: 0.000001] ETA: 1 day, 2:51:04.185801 validation loss:[Epoch 438/1000] [mean loss: 0.058722] [mean PSNR: 35.421033]
[Epoch 439/1000] [Batch 0/30] [loss: 0.042766] [loss1: 0.015264] [loss2: 0.012939] [loss3: 0.0145623] [lr: 0.000001] ETA: 2 days, 6:54:12.819371
[Epoch 439/1000] [Batch 10/30] [loss: 0.040220] [loss1: 0.014453] [loss2: 0.011624] [loss3: 0.0141437] [lr: 0.000001] ETA: 1 day, 1:33:17.712927
[Epoch 439/1000] [Batch 20/30] [loss: 0.046585] [loss1: 0.017015] [loss2: 0.014475] [loss3: 0.0150956] [lr: 0.000001] ETA: 1 day, 7:46:49.348857 validation loss:[Epoch 439/1000] [mean loss: 0.060524] [mean PSNR: 35.152578]
[Epoch 440/1000] [Batch 0/30] [loss: 0.044363] [loss1: 0.015230] [loss2: 0.013420] [loss3: 0.0157130] [lr: 0.000001] ETA: 2 days, 6:48:25.103302
[Epoch 440/1000] [Batch 10/30] [loss: 0.056288] [loss1: 0.019547] [loss2: 0.017203] [loss3: 0.0195373] [lr: 0.000001] ETA: 1 day, 7:13:03.253238
[Epoch 440/1000] [Batch 20/30] [loss: 0.053833] [loss1: 0.018500] [loss2: 0.016322] [loss3: 0.0190102] [lr: 0.000001] ETA: 1 day, 7:27:58.930311 validation loss:[Epoch 440/1000] [mean loss: 0.052931] [mean PSNR: 36.137936]
[Epoch 441/1000] [Batch 0/30] [loss: 0.037417] [loss1: 0.013056] [loss2: 0.011896] [loss3: 0.0124653] [lr: 0.000001] ETA: 2 days, 2:05:42.639971
[Epoch 441/1000] [Batch 10/30] [loss: 0.037023] [loss1: 0.012688] [loss2: 0.011017] [loss3: 0.0133178] [lr: 0.000001] ETA: 1 day, 11:05:44.509954
[Epoch 441/1000] [Batch 20/30] [loss: 0.046881] [loss1: 0.016259] [loss2: 0.014122] [loss3: 0.0165004] [lr: 0.000001] ETA: 1 day, 3:18:58.240504 validation loss:[Epoch 441/1000] [mean loss: 0.045327] [mean PSNR: 36.884480]
[Epoch 442/1000] [Batch 0/30] [loss: 0.040993] [loss1: 0.014043] [loss2: 0.012306] [loss3: 0.0146441] [lr: 0.000001] ETA: 2 days, 0:55:30.354867
[Epoch 442/1000] [Batch 10/30] [loss: 0.039879] [loss1: 0.013725] [loss2: 0.012254] [loss3: 0.0138995] [lr: 0.000001] ETA: 1 day, 0:00:37.421241
[Epoch 442/1000] [Batch 20/30] [loss: 0.054900] [loss1: 0.018638] [loss2: 0.016580] [loss3: 0.0196815] [lr: 0.000001] ETA: 1 day, 1:07:09.086800 validation loss:[Epoch 442/1000] [mean loss: 0.053554] [mean PSNR: 35.694840]
[Epoch 443/1000] [Batch 0/30] [loss: 0.039436] [loss1: 0.014286] [loss2: 0.011408] [loss3: 0.0137424] [lr: 0.000001] ETA: 1 day, 21:14:01.581495
[Epoch 443/1000] [Batch 10/30] [loss: 0.055756] [loss1: 0.018044] [loss2: 0.016988] [loss3: 0.0207243] [lr: 0.000001] ETA: 1 day, 6:30:42.559576
[Epoch 443/1000] [Batch 20/30] [loss: 0.037581] [loss1: 0.013436] [loss2: 0.011254] [loss3: 0.0128909] [lr: 0.000001] ETA: 21:37:47.082341 validation loss:[Epoch 443/1000] [mean loss: 0.058768] [mean PSNR: 36.127623]
[Epoch 444/1000] [Batch 0/30] [loss: 0.039277] [loss1: 0.013054] [loss2: 0.012206] [loss3: 0.0140165] [lr: 0.000001] ETA: 2 days, 4:06:37.263365
[Epoch 444/1000] [Batch 10/30] [loss: 0.038710] [loss1: 0.013744] [loss2: 0.011956] [loss3: 0.0130103] [lr: 0.000001] ETA: 1 day, 11:12:32.954361
[Epoch 444/1000] [Batch 20/30] [loss: 0.054057] [loss1: 0.018131] [loss2: 0.016946] [loss3: 0.0189790] [lr: 0.000001] ETA: 1 day, 0:38:32.427382 validation loss:[Epoch 444/1000] [mean loss: 0.060875] [mean PSNR: 35.441052]
[Epoch 445/1000] [Batch 0/30] [loss: 0.051296] [loss1: 0.016954] [loss2: 0.015407] [loss3: 0.0189354] [lr: 0.000001] ETA: 2 days, 8:21:35.909393
[Epoch 445/1000] [Batch 10/30] [loss: 0.037488] [loss1: 0.013884] [loss2: 0.011202] [loss3: 0.0124025] [lr: 0.000001] ETA: 1 day, 0:07:30.184021
[Epoch 445/1000] [Batch 20/30] [loss: 0.037345] [loss1: 0.013260] [loss2: 0.011695] [loss3: 0.0123906] [lr: 0.000001] ETA: 1 day, 4:44:41.865475 validation loss:[Epoch 445/1000] [mean loss: 0.055650] [mean PSNR: 35.605671]
[Epoch 446/1000] [Batch 0/30] [loss: 0.044950] [loss1: 0.015879] [loss2: 0.013126] [loss3: 0.0159440] [lr: 0.000001] ETA: 2 days, 1:12:37.571440
[Epoch 446/1000] [Batch 10/30] [loss: 0.041413] [loss1: 0.013811] [loss2: 0.012306] [loss3: 0.0152956] [lr: 0.000001] ETA: 1 day, 8:20:39.374871
[Epoch 446/1000] [Batch 20/30] [loss: 0.043857] [loss1: 0.015099] [loss2: 0.013597] [loss3: 0.0151608] [lr: 0.000001] ETA: 1 day, 5:29:18.040571 validation loss:[Epoch 446/1000] [mean loss: 0.061805] [mean PSNR: 35.475061]
[Epoch 447/1000] [Batch 0/30] [loss: 0.042546] [loss1: 0.015256] [loss2: 0.012839] [loss3: 0.0144510] [lr: 0.000001] ETA: 1 day, 22:52:27.589324
[Epoch 447/1000] [Batch 10/30] [loss: 0.034405] [loss1: 0.012415] [loss2: 0.010495] [loss3: 0.0114940] [lr: 0.000001] ETA: 1 day, 4:18:36.363907
[Epoch 447/1000] [Batch 20/30] [loss: 0.043830] [loss1: 0.014265] [loss2: 0.013007] [loss3: 0.0165575] [lr: 0.000001] ETA: 1 day, 3:23:42.607782 validation loss:[Epoch 447/1000] [mean loss: 0.064096] [mean PSNR: 34.946230]
[Epoch 448/1000] [Batch 0/30] [loss: 0.035068] [loss1: 0.013243] [loss2: 0.010635] [loss3: 0.0111886] [lr: 0.000001] ETA: 2 days, 2:55:17.895985
[Epoch 448/1000] [Batch 10/30] [loss: 0.039140] [loss1: 0.013995] [loss2: 0.011829] [loss3: 0.0133162] [lr: 0.000001] ETA: 1 day, 6:14:33.315346
[Epoch 448/1000] [Batch 20/30] [loss: 0.043423] [loss1: 0.015582] [loss2: 0.013680] [loss3: 0.0141610] [lr: 0.000001] ETA: 1 day, 2:40:22.927127 validation loss:[Epoch 448/1000] [mean loss: 0.056238] [mean PSNR: 35.956401]
[Epoch 449/1000] [Batch 0/30] [loss: 0.039993] [loss1: 0.014402] [loss2: 0.012317] [loss3: 0.0132738] [lr: 0.000001] ETA: 1 day, 23:21:43.553753
[Epoch 449/1000] [Batch 10/30] [loss: 0.047223] [loss1: 0.016363] [loss2: 0.014726] [loss3: 0.0161339] [lr: 0.000001] ETA: 22:34:11.074734
[Epoch 449/1000] [Batch 20/30] [loss: 0.042936] [loss1: 0.014800] [loss2: 0.013373] [loss3: 0.0147633] [lr: 0.000001] ETA: 1 day, 1:03:46.136956 validation loss:[Epoch 449/1000] [mean loss: 0.048825] [mean PSNR: 36.329832]
[Epoch 450/1000] [Batch 0/30] [loss: 0.034792] [loss1: 0.011631] [loss2: 0.009677] [loss3: 0.0134836] [lr: 0.000001] ETA: 2 days, 4:57:06.364231
[Epoch 450/1000] [Batch 10/30] [loss: 0.062086] [loss1: 0.021567] [loss2: 0.019108] [loss3: 0.0214111] [lr: 0.000001] ETA: 1 day, 1:00:13.234706
[Epoch 450/1000] [Batch 20/30] [loss: 0.048846] [loss1: 0.016253] [loss2: 0.015526] [loss3: 0.0170672] [lr: 0.000001] ETA: 1 day, 5:25:12.685852 validation loss:[Epoch 450/1000] [mean loss: 0.056002] [mean PSNR: 35.621481]
[Epoch 451/1000] [Batch 0/30] [loss: 0.045878] [loss1: 0.015945] [loss2: 0.013894] [loss3: 0.0160398] [lr: 0.000001] ETA: 2 days, 9:23:46.769199
[Epoch 451/1000] [Batch 10/30] [loss: 0.048689] [loss1: 0.015803] [loss2: 0.014701] [loss3: 0.0181847] [lr: 0.000001] ETA: 1 day, 5:55:51.810441
[Epoch 451/1000] [Batch 20/30] [loss: 0.046703] [loss1: 0.018142] [loss2: 0.015466] [loss3: 0.0130958] [lr: 0.000001] ETA: 1 day, 1:04:49.458704 validation loss:[Epoch 451/1000] [mean loss: 0.055655] [mean PSNR: 35.871996]
[Epoch 452/1000] [Batch 0/30] [loss: 0.040246] [loss1: 0.014035] [loss2: 0.012318] [loss3: 0.0138928] [lr: 0.000001] ETA: 2 days, 5:29:38.112745
[Epoch 452/1000] [Batch 10/30] [loss: 0.051418] [loss1: 0.017298] [loss2: 0.016190] [loss3: 0.0179303] [lr: 0.000001] ETA: 1 day, 5:50:26.518097
[Epoch 452/1000] [Batch 20/30] [loss: 0.044193] [loss1: 0.014813] [loss2: 0.012956] [loss3: 0.0164243] [lr: 0.000001] ETA: 1 day, 2:47:09.518290 validation loss:[Epoch 452/1000] [mean loss: 0.055644] [mean PSNR: 35.377530]
[Epoch 453/1000] [Batch 0/30] [loss: 0.053937] [loss1: 0.017939] [loss2: 0.016346] [loss3: 0.0196509] [lr: 0.000001] ETA: 2 days, 1:15:10.966609
[Epoch 453/1000] [Batch 10/30] [loss: 0.035944] [loss1: 0.012242] [loss2: 0.010857] [loss3: 0.0128444] [lr: 0.000001] ETA: 1 day, 9:54:08.090839
[Epoch 453/1000] [Batch 20/30] [loss: 0.039896] [loss1: 0.013193] [loss2: 0.012212] [loss3: 0.0144909] [lr: 0.000001] ETA: 1 day, 7:07:18.272433 validation loss:[Epoch 453/1000] [mean loss: 0.058643] [mean PSNR: 35.837233]
[Epoch 454/1000] [Batch 0/30] [loss: 0.041384] [loss1: 0.014816] [loss2: 0.012164] [loss3: 0.0144044] [lr: 0.000001] ETA: 2 days, 4:49:05.757766
[Epoch 454/1000] [Batch 10/30] [loss: 0.036516] [loss1: 0.013533] [loss2: 0.010825] [loss3: 0.0121577] [lr: 0.000001] ETA: 18:53:36.541629
[Epoch 454/1000] [Batch 20/30] [loss: 0.046737] [loss1: 0.015769] [loss2: 0.014504] [loss3: 0.0164641] [lr: 0.000001] ETA: 1 day, 6:10:06.335459 validation loss:[Epoch 454/1000] [mean loss: 0.059898] [mean PSNR: 35.340950]
[Epoch 455/1000] [Batch 0/30] [loss: 0.042383] [loss1: 0.014742] [loss2: 0.012977] [loss3: 0.0146637] [lr: 0.000001] ETA: 2 days, 2:57:11.450772
[Epoch 455/1000] [Batch 10/30] [loss: 0.046888] [loss1: 0.016708] [loss2: 0.014670] [loss3: 0.0155103] [lr: 0.000001] ETA: 1 day, 10:53:46.177473
[Epoch 455/1000] [Batch 20/30] [loss: 0.047708] [loss1: 0.016514] [loss2: 0.014648] [loss3: 0.0165458] [lr: 0.000001] ETA: 1 day, 7:14:22.207930 validation loss:[Epoch 455/1000] [mean loss: 0.065800] [mean PSNR: 34.874437]
[Epoch 456/1000] [Batch 0/30] [loss: 0.034218] [loss1: 0.012312] [loss2: 0.010377] [loss3: 0.0115289] [lr: 0.000001] ETA: 2 days, 2:59:57.447510
[Epoch 456/1000] [Batch 10/30] [loss: 0.055064] [loss1: 0.018090] [loss2: 0.017354] [loss3: 0.0196192] [lr: 0.000001] ETA: 1 day, 5:50:49.600458
[Epoch 456/1000] [Batch 20/30] [loss: 0.038735] [loss1: 0.014058] [loss2: 0.011576] [loss3: 0.0131009] [lr: 0.000001] ETA: 21:47:17.703037 validation loss:[Epoch 456/1000] [mean loss: 0.044311] [mean PSNR: 36.506195]
[Epoch 457/1000] [Batch 0/30] [loss: 0.046382] [loss1: 0.015331] [loss2: 0.013571] [loss3: 0.0174801] [lr: 0.000001] ETA: 2 days, 5:03:31.868892
[Epoch 457/1000] [Batch 10/30] [loss: 0.051236] [loss1: 0.017440] [loss2: 0.016024] [loss3: 0.0177709] [lr: 0.000001] ETA: 1 day, 1:29:12.960806
[Epoch 457/1000] [Batch 20/30] [loss: 0.045711] [loss1: 0.015892] [loss2: 0.014285] [loss3: 0.0155344] [lr: 0.000001] ETA: 1 day, 6:27:24.543772 validation loss:[Epoch 457/1000] [mean loss: 0.057353] [mean PSNR: 35.487460]
[Epoch 458/1000] [Batch 0/30] [loss: 0.043131] [loss1: 0.015342] [loss2: 0.013449] [loss3: 0.0143390] [lr: 0.000001] ETA: 2 days, 4:09:29.380603
[Epoch 458/1000] [Batch 10/30] [loss: 0.047422] [loss1: 0.016406] [loss2: 0.014373] [loss3: 0.0166437] [lr: 0.000001] ETA: 1 day, 7:49:22.200904
[Epoch 458/1000] [Batch 20/30] [loss: 0.043345] [loss1: 0.014947] [loss2: 0.013555] [loss3: 0.0148433] [lr: 0.000001] ETA: 1 day, 0:05:39.018364 validation loss:[Epoch 458/1000] [mean loss: 0.053462] [mean PSNR: 35.481958]
[Epoch 459/1000] [Batch 0/30] [loss: 0.037844] [loss1: 0.012030] [loss2: 0.010798] [loss3: 0.0150162] [lr: 0.000001] ETA: 2 days, 3:13:13.299086
[Epoch 459/1000] [Batch 10/30] [loss: 0.043557] [loss1: 0.014941] [loss2: 0.013077] [loss3: 0.0155390] [lr: 0.000001] ETA: 1 day, 6:30:09.465432
[Epoch 459/1000] [Batch 20/30] [loss: 0.047423] [loss1: 0.017164] [loss2: 0.014710] [loss3: 0.0155498] [lr: 0.000001] ETA: 1 day, 3:28:49.338937 validation loss:[Epoch 459/1000] [mean loss: 0.060047] [mean PSNR: 35.487691]
[Epoch 460/1000] [Batch 0/30] [loss: 0.039610] [loss1: 0.014286] [loss2: 0.012096] [loss3: 0.0132288] [lr: 0.000001] ETA: 2 days, 2:03:12.922926
[Epoch 460/1000] [Batch 10/30] [loss: 0.058438] [loss1: 0.019170] [loss2: 0.017688] [loss3: 0.0215801] [lr: 0.000001] ETA: 15:25:58.327339
[Epoch 460/1000] [Batch 20/30] [loss: 0.041560] [loss1: 0.013896] [loss2: 0.012757] [loss3: 0.0149075] [lr: 0.000001] ETA: 1 day, 7:22:02.802224 validation loss:[Epoch 460/1000] [mean loss: 0.057380] [mean PSNR: 35.273527]
[Epoch 461/1000] [Batch 0/30] [loss: 0.041202] [loss1: 0.014460] [loss2: 0.012757] [loss3: 0.0139852] [lr: 0.000001] ETA: 2 days, 0:07:30.850353
[Epoch 461/1000] [Batch 10/30] [loss: 0.047510] [loss1: 0.016330] [loss2: 0.014658] [loss3: 0.0165219] [lr: 0.000001] ETA: 1 day, 1:46:48.263664
[Epoch 461/1000] [Batch 20/30] [loss: 0.042727] [loss1: 0.015110] [loss2: 0.013157] [loss3: 0.0144601] [lr: 0.000001] ETA: 23:14:44.393251 validation loss:[Epoch 461/1000] [mean loss: 0.057267] [mean PSNR: 35.895266]
[Epoch 462/1000] [Batch 0/30] [loss: 0.049675] [loss1: 0.016870] [loss2: 0.016639] [loss3: 0.0161651] [lr: 0.000001] ETA: 2 days, 9:16:30.610285
[Epoch 462/1000] [Batch 10/30] [loss: 0.044230] [loss1: 0.015005] [loss2: 0.013320] [loss3: 0.0159041] [lr: 0.000001] ETA: 1 day, 3:18:44.241340
[Epoch 462/1000] [Batch 20/30] [loss: 0.037624] [loss1: 0.013665] [loss2: 0.011277] [loss3: 0.0126813] [lr: 0.000001] ETA: 1 day, 5:38:03.129005 validation loss:[Epoch 462/1000] [mean loss: 0.059217] [mean PSNR: 35.416113]
[Epoch 463/1000] [Batch 0/30] [loss: 0.042800] [loss1: 0.014132] [loss2: 0.012817] [loss3: 0.0158508] [lr: 0.000001] ETA: 2 days, 7:15:31.362340
[Epoch 463/1000] [Batch 10/30] [loss: 0.066390] [loss1: 0.022994] [loss2: 0.020651] [loss3: 0.0227450] [lr: 0.000001] ETA: 1 day, 0:20:37.847948
[Epoch 463/1000] [Batch 20/30] [loss: 0.036242] [loss1: 0.013481] [loss2: 0.010944] [loss3: 0.0118178] [lr: 0.000001] ETA: 18:33:09.410069 validation loss:[Epoch 463/1000] [mean loss: 0.057944] [mean PSNR: 35.682741]
[Epoch 464/1000] [Batch 0/30] [loss: 0.033220] [loss1: 0.011500] [loss2: 0.009495] [loss3: 0.0122251] [lr: 0.000001] ETA: 2 days, 4:55:11.221104
[Epoch 464/1000] [Batch 10/30] [loss: 0.039383] [loss1: 0.013368] [loss2: 0.012249] [loss3: 0.0137669] [lr: 0.000001] ETA: 1 day, 7:33:45.653629
[Epoch 464/1000] [Batch 20/30] [loss: 0.053464] [loss1: 0.018110] [loss2: 0.016693] [loss3: 0.0186601] [lr: 0.000001] ETA: 1 day, 6:57:27.061982 validation loss:[Epoch 464/1000] [mean loss: 0.051688] [mean PSNR: 35.878277]
[Epoch 465/1000] [Batch 0/30] [loss: 0.036409] [loss1: 0.012758] [loss2: 0.010847] [loss3: 0.0128042] [lr: 0.000001] ETA: 2 days, 2:31:39.229574
[Epoch 465/1000] [Batch 10/30] [loss: 0.052684] [loss1: 0.017787] [loss2: 0.016347] [loss3: 0.0185503] [lr: 0.000001] ETA: 1 day, 6:33:19.869308
[Epoch 465/1000] [Batch 20/30] [loss: 0.039989] [loss1: 0.014720] [loss2: 0.012212] [loss3: 0.0130579] [lr: 0.000001] ETA: 1 day, 3:07:24.704835 validation loss:[Epoch 465/1000] [mean loss: 0.058501] [mean PSNR: 35.567967]
[Epoch 466/1000] [Batch 0/30] [loss: 0.052250] [loss1: 0.016040] [loss2: 0.015853] [loss3: 0.0203572] [lr: 0.000001] ETA: 2 days, 8:09:20.836644
[Epoch 466/1000] [Batch 10/30] [loss: 0.035541] [loss1: 0.012718] [loss2: 0.010962] [loss3: 0.0118610] [lr: 0.000001] ETA: 1 day, 3:11:00.826504
[Epoch 466/1000] [Batch 20/30] [loss: 0.038687] [loss1: 0.014259] [loss2: 0.011391] [loss3: 0.0130370] [lr: 0.000001] ETA: 22:48:37.992401 validation loss:[Epoch 466/1000] [mean loss: 0.057384] [mean PSNR: 35.657616]
[Epoch 467/1000] [Batch 0/30] [loss: 0.048983] [loss1: 0.017873] [loss2: 0.015472] [loss3: 0.0156380] [lr: 0.000001] ETA: 2 days, 7:48:41.464691
[Epoch 467/1000] [Batch 10/30] [loss: 0.049826] [loss1: 0.017423] [loss2: 0.015606] [loss3: 0.0167972] [lr: 0.000001] ETA: 1 day, 1:59:24.713831
[Epoch 467/1000] [Batch 20/30] [loss: 0.040220] [loss1: 0.013948] [loss2: 0.012573] [loss3: 0.0136995] [lr: 0.000001] ETA: 1 day, 2:56:54.304934 validation loss:[Epoch 467/1000] [mean loss: 0.051173] [mean PSNR: 36.365680]
[Epoch 468/1000] [Batch 0/30] [loss: 0.048030] [loss1: 0.016252] [loss2: 0.015223] [loss3: 0.0165543] [lr: 0.000001] ETA: 2 days, 6:02:00.722952
[Epoch 468/1000] [Batch 10/30] [loss: 0.051074] [loss1: 0.015428] [loss2: 0.015574] [loss3: 0.0200724] [lr: 0.000001] ETA: 1 day, 3:39:38.139758
[Epoch 468/1000] [Batch 20/30] [loss: 0.034243] [loss1: 0.011241] [loss2: 0.010155] [loss3: 0.0128475] [lr: 0.000001] ETA: 1 day, 0:54:17.631698 validation loss:[Epoch 468/1000] [mean loss: 0.049600] [mean PSNR: 36.089903]
[Epoch 469/1000] [Batch 0/30] [loss: 0.041863] [loss1: 0.014738] [loss2: 0.012494] [loss3: 0.0146310] [lr: 0.000001] ETA: 2 days, 1:46:31.132407
[Epoch 469/1000] [Batch 10/30] [loss: 0.038262] [loss1: 0.013814] [loss2: 0.011570] [loss3: 0.0128776] [lr: 0.000001] ETA: 1 day, 6:31:47.110767
[Epoch 469/1000] [Batch 20/30] [loss: 0.045863] [loss1: 0.015990] [loss2: 0.014165] [loss3: 0.0157082] [lr: 0.000001] ETA: 22:54:57.407856 validation loss:[Epoch 469/1000] [mean loss: 0.049052] [mean PSNR: 36.291031]
[Epoch 470/1000] [Batch 0/30] [loss: 0.048068] [loss1: 0.017823] [loss2: 0.014723] [loss3: 0.0155225] [lr: 0.000001] ETA: 2 days, 1:55:13.715386
[Epoch 470/1000] [Batch 10/30] [loss: 0.042477] [loss1: 0.014754] [loss2: 0.013253] [loss3: 0.0144703] [lr: 0.000001] ETA: 1 day, 5:37:27.870576
[Epoch 470/1000] [Batch 20/30] [loss: 0.047218] [loss1: 0.016124] [loss2: 0.013809] [loss3: 0.0172847] [lr: 0.000001] ETA: 1 day, 10:11:07.788925 validation loss:[Epoch 470/1000] [mean loss: 0.058624] [mean PSNR: 35.768759]
[Epoch 471/1000] [Batch 0/30] [loss: 0.045557] [loss1: 0.014952] [loss2: 0.013317] [loss3: 0.0172874] [lr: 0.000001] ETA: 2 days, 3:51:17.614532
[Epoch 471/1000] [Batch 10/30] [loss: 0.039919] [loss1: 0.014439] [loss2: 0.012058] [loss3: 0.0134227] [lr: 0.000001] ETA: 1 day, 4:13:12.677217
[Epoch 471/1000] [Batch 20/30] [loss: 0.046035] [loss1: 0.015512] [loss2: 0.014072] [loss3: 0.0164514] [lr: 0.000001] ETA: 1 day, 8:22:22.573619 validation loss:[Epoch 471/1000] [mean loss: 0.061074] [mean PSNR: 35.706273]
[Epoch 472/1000] [Batch 0/30] [loss: 0.040740] [loss1: 0.014051] [loss2: 0.012160] [loss3: 0.0145284] [lr: 0.000001] ETA: 1 day, 15:38:12.356758
[Epoch 472/1000] [Batch 10/30] [loss: 0.060058] [loss1: 0.018913] [loss2: 0.017943] [loss3: 0.0232013] [lr: 0.000001] ETA: 1 day, 5:17:41.632984
[Epoch 472/1000] [Batch 20/30] [loss: 0.060910] [loss1: 0.021002] [loss2: 0.018922] [loss3: 0.0209856] [lr: 0.000001] ETA: 1 day, 0:46:31.896634 validation loss:[Epoch 472/1000] [mean loss: 0.054494] [mean PSNR: 35.893457]
[Epoch 473/1000] [Batch 0/30] [loss: 0.043687] [loss1: 0.015223] [loss2: 0.013202] [loss3: 0.0152619] [lr: 0.000000] ETA: 1 day, 23:27:22.498047
[Epoch 473/1000] [Batch 10/30] [loss: 0.050027] [loss1: 0.017380] [loss2: 0.015709] [loss3: 0.0169382] [lr: 0.000000] ETA: 1 day, 6:49:06.433401
[Epoch 473/1000] [Batch 20/30] [loss: 0.041173] [loss1: 0.014367] [loss2: 0.012509] [loss3: 0.0142972] [lr: 0.000000] ETA: 1 day, 1:31:18.019583 validation loss:[Epoch 473/1000] [mean loss: 0.059298] [mean PSNR: 36.198089]
[Epoch 474/1000] [Batch 0/30] [loss: 0.047661] [loss1: 0.016297] [loss2: 0.014766] [loss3: 0.0165976] [lr: 0.000000] ETA: 2 days, 8:10:29.470696
[Epoch 474/1000] [Batch 10/30] [loss: 0.040142] [loss1: 0.013965] [loss2: 0.012270] [loss3: 0.0139064] [lr: 0.000000] ETA: 1 day, 9:39:56.848135
[Epoch 474/1000] [Batch 20/30] [loss: 0.064456] [loss1: 0.021766] [loss2: 0.018647] [loss3: 0.0240435] [lr: 0.000000] ETA: 1 day, 0:02:05.364799 validation loss:[Epoch 474/1000] [mean loss: 0.055307] [mean PSNR: 35.705449]
[Epoch 475/1000] [Batch 0/30] [loss: 0.033350] [loss1: 0.011827] [loss2: 0.010187] [loss3: 0.0113361] [lr: 0.000000] ETA: 2 days, 2:03:12.336380
[Epoch 475/1000] [Batch 10/30] [loss: 0.046735] [loss1: 0.016101] [loss2: 0.014354] [loss3: 0.0162793] [lr: 0.000000] ETA: 23:55:29.158082
[Epoch 475/1000] [Batch 20/30] [loss: 0.056250] [loss1: 0.018768] [loss2: 0.017856] [loss3: 0.0196256] [lr: 0.000000] ETA: 1 day, 1:23:15.716982 validation loss:[Epoch 475/1000] [mean loss: 0.051435] [mean PSNR: 35.900274]
[Epoch 476/1000] [Batch 0/30] [loss: 0.038455] [loss1: 0.014054] [loss2: 0.011929] [loss3: 0.0124719] [lr: 0.000000] ETA: 1 day, 20:20:45.174837
[Epoch 476/1000] [Batch 10/30] [loss: 0.039344] [loss1: 0.013778] [loss2: 0.012139] [loss3: 0.0134267] [lr: 0.000000] ETA: 1 day, 10:21:00.916903
[Epoch 476/1000] [Batch 20/30] [loss: 0.042028] [loss1: 0.014828] [loss2: 0.013165] [loss3: 0.0140356] [lr: 0.000000] ETA: 1 day, 0:43:11.271782 validation loss:[Epoch 476/1000] [mean loss: 0.059648] [mean PSNR: 35.199944]
[Epoch 477/1000] [Batch 0/30] [loss: 0.037926] [loss1: 0.013190] [loss2: 0.011827] [loss3: 0.0129086] [lr: 0.000000] ETA: 2 days, 8:24:03.795977
[Epoch 477/1000] [Batch 10/30] [loss: 0.040135] [loss1: 0.014430] [loss2: 0.012106] [loss3: 0.0135985] [lr: 0.000000] ETA: 1 day, 4:01:33.176498
[Epoch 477/1000] [Batch 20/30] [loss: 0.036692] [loss1: 0.013392] [loss2: 0.010891] [loss3: 0.0124085] [lr: 0.000000] ETA: 1 day, 8:27:54.207883 validation loss:[Epoch 477/1000] [mean loss: 0.059135] [mean PSNR: 35.531304]
[Epoch 478/1000] [Batch 0/30] [loss: 0.038707] [loss1: 0.013261] [loss2: 0.011656] [loss3: 0.0137898] [lr: 0.000000] ETA: 2 days, 6:27:05.702806
[Epoch 478/1000] [Batch 10/30] [loss: 0.043390] [loss1: 0.014384] [loss2: 0.013740] [loss3: 0.0152655] [lr: 0.000000] ETA: 1 day, 1:09:41.817353
[Epoch 478/1000] [Batch 20/30] [loss: 0.064368] [loss1: 0.022552] [loss2: 0.020395] [loss3: 0.0214216] [lr: 0.000000] ETA: 1 day, 8:42:06.108770 validation loss:[Epoch 478/1000] [mean loss: 0.060404] [mean PSNR: 35.193983]
[Epoch 479/1000] [Batch 0/30] [loss: 0.040877] [loss1: 0.014546] [loss2: 0.012495] [loss3: 0.0138364] [lr: 0.000000] ETA: 1 day, 23:56:04.463439
[Epoch 479/1000] [Batch 10/30] [loss: 0.049105] [loss1: 0.017297] [loss2: 0.014849] [loss3: 0.0169585] [lr: 0.000000] ETA: 19:23:57.320967
[Epoch 479/1000] [Batch 20/30] [loss: 0.052653] [loss1: 0.018184] [loss2: 0.015725] [loss3: 0.0187439] [lr: 0.000000] ETA: 22:01:32.509112loaded dataset successfully!
the number of training set images: 950
Loading pretrained model from train_result/model/epoch_393/model.pdparams
There are 444/444 variables loaded into MBCNN.
[Epoch 394/1000] [Batch 0/30] [loss: 0.043477] [loss1: 0.016071] [loss2: 0.013167] [loss3: 0.0142391] [lr: 0.000005] ETA: 13:53:50.754876
[Epoch 394/1000] [Batch 10/30] [loss: 0.039848] [loss1: 0.014514] [loss2: 0.012258] [loss3: 0.0130761] [lr: 0.000005] ETA: 6:01:55.141537
[Epoch 394/1000] [Batch 20/30] [loss: 0.054776] [loss1: 0.019846] [loss2: 0.017198] [loss3: 0.0177322] [lr: 0.000005] ETA: 6:02:43.554859 validation loss:[Epoch 394/1000] [mean loss: 0.056801] [mean PSNR: 35.568331]
[Epoch 395/1000] [Batch 0/30] [loss: 0.041337] [loss1: 0.014476] [loss2: 0.011933] [loss3: 0.0149279] [lr: 0.000005] ETA: 1 day, 9:39:20.955262
[Epoch 395/1000] [Batch 10/30] [loss: 0.043609] [loss1: 0.015636] [loss2: 0.013355] [loss3: 0.0146179] [lr: 0.000005] ETA: 6:02:10.054078
[Epoch 395/1000] [Batch 20/30] [loss: 0.038612] [loss1: 0.014651] [loss2: 0.011891] [loss3: 0.0120700] [lr: 0.000005] ETA: 6:03:04.775939 validation loss:[Epoch 395/1000] [mean loss: 0.053799] [mean PSNR: 35.464377]
[Epoch 396/1000] [Batch 0/30] [loss: 0.042244] [loss1: 0.016218] [loss2: 0.012347] [loss3: 0.0136784] [lr: 0.000005] ETA: 1 day, 9:23:38.911743
[Epoch 396/1000] [Batch 10/30] [loss: 0.042900] [loss1: 0.014614] [loss2: 0.012808] [loss3: 0.0154781] [lr: 0.000005] ETA: 6:02:09.496562
[Epoch 396/1000] [Batch 20/30] [loss: 0.044764] [loss1: 0.015898] [loss2: 0.013955] [loss3: 0.0149116] [lr: 0.000005] ETA: 6:02:44.902353 validation loss:[Epoch 396/1000] [mean loss: 0.055376] [mean PSNR: 35.573958]
[Epoch 397/1000] [Batch 0/30] [loss: 0.043730] [loss1: 0.016278] [loss2: 0.013482] [loss3: 0.0139703] [lr: 0.000005] ETA: 1 day, 10:31:25.030510
[Epoch 397/1000] [Batch 10/30] [loss: 0.066114] [loss1: 0.022671] [loss2: 0.020511] [loss3: 0.0229325] [lr: 0.000005] ETA: 6:02:01.653290
[Epoch 397/1000] [Batch 20/30] [loss: 0.042321] [loss1: 0.015065] [loss2: 0.012565] [loss3: 0.0146905] [lr: 0.000005] ETA: 6:01:17.103395 validation loss:[Epoch 397/1000] [mean loss: 0.054889] [mean PSNR: 35.992578]
[Epoch 398/1000] [Batch 0/30] [loss: 0.041059] [loss1: 0.015155] [loss2: 0.012366] [loss3: 0.0135377] [lr: 0.000005] ETA: 1 day, 9:29:58.913999
[Epoch 398/1000] [Batch 10/30] [loss: 0.045645] [loss1: 0.015980] [loss2: 0.014202] [loss3: 0.0154638] [lr: 0.000005] ETA: 6:00:45.747817
[Epoch 398/1000] [Batch 20/30] [loss: 0.039537] [loss1: 0.014445] [loss2: 0.011965] [loss3: 0.0131268] [lr: 0.000005] ETA: 6:00:57.334185 validation loss:[Epoch 398/1000] [mean loss: 0.057824] [mean PSNR: 36.058693]
[Epoch 399/1000] [Batch 0/30] [loss: 0.043153] [loss1: 0.015640] [loss2: 0.013693] [loss3: 0.0138198] [lr: 0.000005] ETA: 1 day, 10:09:10.507700
[Epoch 399/1000] [Batch 10/30] [loss: 0.045734] [loss1: 0.015885] [loss2: 0.013809] [loss3: 0.0160404] [lr: 0.000005] ETA: 5:59:59.292822
[Epoch 399/1000] [Batch 20/30] [loss: 0.040797] [loss1: 0.015239] [loss2: 0.012129] [loss3: 0.0134284] [lr: 0.000005] ETA: 6:00:08.484139 validation loss:[Epoch 399/1000] [mean loss: 0.049030] [mean PSNR: 35.909047]
[Epoch 400/1000] [Batch 0/30] [loss: 0.053510] [loss1: 0.019205] [loss2: 0.016415] [loss3: 0.0178900] [lr: 0.000005] ETA: 1 day, 10:25:14.636135
[Epoch 400/1000] [Batch 10/30] [loss: 0.037666] [loss1: 0.014189] [loss2: 0.010968] [loss3: 0.0125093] [lr: 0.000005] ETA: 6:00:05.414808
[Epoch 400/1000] [Batch 20/30] [loss: 0.051378] [loss1: 0.017923] [loss2: 0.015968] [loss3: 0.0174867] [lr: 0.000005] ETA: 5:59:07.785363 validation loss:[Epoch 400/1000] [mean loss: 0.066794] [mean PSNR: 34.864768]
[Epoch 401/1000] [Batch 0/30] [loss: 0.043649] [loss1: 0.016275] [loss2: 0.013176] [loss3: 0.0141976] [lr: 0.000005] ETA: 1 day, 8:15:36.143725
[Epoch 401/1000] [Batch 10/30] [loss: 0.053973] [loss1: 0.019264] [loss2: 0.016730] [loss3: 0.0179798] [lr: 0.000005] ETA: 5:59:45.113544
[Epoch 401/1000] [Batch 20/30] [loss: 0.061217] [loss1: 0.021543] [loss2: 0.018860] [loss3: 0.0208148] [lr: 0.000005] ETA: 5:59:38.590131 validation loss:[Epoch 401/1000] [mean loss: 0.054780] [mean PSNR: 35.559111]
[Epoch 402/1000] [Batch 0/30] [loss: 0.046490] [loss1: 0.016677] [loss2: 0.014049] [loss3: 0.0157638] [lr: 0.000005] ETA: 1 day, 9:21:23.336892
[Epoch 402/1000] [Batch 10/30] [loss: 0.051375] [loss1: 0.017557] [loss2: 0.015636] [loss3: 0.0181828] [lr: 0.000005] ETA: 5:58:01.220715
[Epoch 402/1000] [Batch 20/30] [loss: 0.041872] [loss1: 0.015899] [loss2: 0.012807] [loss3: 0.0131667] [lr: 0.000005] ETA: 5:57:38.554688 validation loss:[Epoch 402/1000] [mean loss: 0.060609] [mean PSNR: 35.649128]
[Epoch 403/1000] [Batch 0/30] [loss: 0.042307] [loss1: 0.015627] [loss2: 0.012680] [loss3: 0.0140001] [lr: 0.000005] ETA: 1 day, 9:09:34.931803
[Epoch 403/1000] [Batch 10/30] [loss: 0.045265] [loss1: 0.016577] [loss2: 0.013688] [loss3: 0.0150002] [lr: 0.000005] ETA: 5:58:42.536945
[Epoch 403/1000] [Batch 20/30] [loss: 0.039179] [loss1: 0.014057] [loss2: 0.011834] [loss3: 0.0132873] [lr: 0.000005] ETA: 5:58:45.411904 validation loss:[Epoch 403/1000] [mean loss: 0.054233] [mean PSNR: 35.720533]
[Epoch 404/1000] [Batch 0/30] [loss: 0.042780] [loss1: 0.015137] [loss2: 0.012532] [loss3: 0.0151108] [lr: 0.000005] ETA: 1 day, 7:45:43.584394
[Epoch 404/1000] [Batch 10/30] [loss: 0.043986] [loss1: 0.016603] [loss2: 0.013079] [loss3: 0.0143040] [lr: 0.000005] ETA: 5:57:31.908414
[Epoch 404/1000] [Batch 20/30] [loss: 0.039248] [loss1: 0.013762] [loss2: 0.011973] [loss3: 0.0135133] [lr: 0.000005] ETA: 5:58:11.095538 validation loss:[Epoch 404/1000] [mean loss: 0.063841] [mean PSNR: 35.159279]
[Epoch 405/1000] [Batch 0/30] [loss: 0.043132] [loss1: 0.015361] [loss2: 0.013115] [loss3: 0.0146565] [lr: 0.000005] ETA: 1 day, 9:53:49.715037
[Epoch 405/1000] [Batch 10/30] [loss: 0.046631] [loss1: 0.016626] [loss2: 0.014461] [loss3: 0.0155443] [lr: 0.000005] ETA: 5:56:39.153805
[Epoch 405/1000] [Batch 20/30] [loss: 0.039141] [loss1: 0.014604] [loss2: 0.011672] [loss3: 0.0128653] [lr: 0.000005] ETA: 5:57:38.218534 validation loss:[Epoch 405/1000] [mean loss: 0.059582] [mean PSNR: 35.176705]
[Epoch 406/1000] [Batch 0/30] [loss: 0.047033] [loss1: 0.016794] [loss2: 0.014627] [loss3: 0.0156116] [lr: 0.000005] ETA: 1 day, 10:35:01.741691
[Epoch 406/1000] [Batch 10/30] [loss: 0.042728] [loss1: 0.016336] [loss2: 0.012627] [loss3: 0.0137648] [lr: 0.000005] ETA: 5:56:04.582677
[Epoch 406/1000] [Batch 20/30] [loss: 0.036021] [loss1: 0.013304] [loss2: 0.010879] [loss3: 0.0118379] [lr: 0.000005] ETA: 5:57:23.591976 validation loss:[Epoch 406/1000] [mean loss: 0.051862] [mean PSNR: 36.072756]
[Epoch 407/1000] [Batch 0/30] [loss: 0.049431] [loss1: 0.017654] [loss2: 0.015278] [loss3: 0.0164986] [lr: 0.000005] ETA: 1 day, 7:58:46.376059
[Epoch 407/1000] [Batch 10/30] [loss: 0.036217] [loss1: 0.013355] [loss2: 0.010989] [loss3: 0.0118728] [lr: 0.000005] ETA: 5:56:27.480264
[Epoch 407/1000] [Batch 20/30] [loss: 0.048445] [loss1: 0.016484] [loss2: 0.014683] [loss3: 0.0172770] [lr: 0.000005] ETA: 5:55:46.175725 validation loss:[Epoch 407/1000] [mean loss: 0.051076] [mean PSNR: 35.849154]
[Epoch 408/1000] [Batch 0/30] [loss: 0.048820] [loss1: 0.018140] [loss2: 0.015068] [loss3: 0.0156117] [lr: 0.000005] ETA: 1 day, 8:09:50.618134
[Epoch 408/1000] [Batch 10/30] [loss: 0.051044] [loss1: 0.018026] [loss2: 0.015592] [loss3: 0.0174260] [lr: 0.000005] ETA: 5:55:04.016948
[Epoch 408/1000] [Batch 20/30] [loss: 0.039889] [loss1: 0.014888] [loss2: 0.011584] [loss3: 0.0134174] [lr: 0.000005] ETA: 5:55:36.860557 validation loss:[Epoch 408/1000] [mean loss: 0.056653] [mean PSNR: 35.151587]
[Epoch 409/1000] [Batch 0/30] [loss: 0.051368] [loss1: 0.017215] [loss2: 0.014763] [loss3: 0.0193905] [lr: 0.000005] ETA: 1 day, 8:17:22.643909
[Epoch 409/1000] [Batch 10/30] [loss: 0.047397] [loss1: 0.016402] [loss2: 0.014437] [loss3: 0.0165582] [lr: 0.000005] ETA: 5:55:16.130371
[Epoch 409/1000] [Batch 20/30] [loss: 0.054987] [loss1: 0.017856] [loss2: 0.016274] [loss3: 0.0208563] [lr: 0.000005] ETA: 5:55:09.387388 validation loss:[Epoch 409/1000] [mean loss: 0.049710] [mean PSNR: 35.790063]
[Epoch 410/1000] [Batch 0/30] [loss: 0.041594] [loss1: 0.014839] [loss2: 0.012412] [loss3: 0.0143436] [lr: 0.000005] ETA: 1 day, 8:16:33.284798
[Epoch 410/1000] [Batch 10/30] [loss: 0.042732] [loss1: 0.015771] [loss2: 0.012662] [loss3: 0.0142992] [lr: 0.000005] ETA: 5:54:34.538114
[Epoch 410/1000] [Batch 20/30] [loss: 0.047594] [loss1: 0.016892] [loss2: 0.014532] [loss3: 0.0161707] [lr: 0.000005] ETA: 5:55:03.028698 validation loss:[Epoch 410/1000] [mean loss: 0.052953] [mean PSNR: 36.294466]
[Epoch 411/1000] [Batch 0/30] [loss: 0.059902] [loss1: 0.021630] [loss2: 0.018298] [loss3: 0.0199737] [lr: 0.000005] ETA: 1 day, 8:22:33.636296
[Epoch 411/1000] [Batch 10/30] [loss: 0.038071] [loss1: 0.014818] [loss2: 0.011190] [loss3: 0.0120630] [lr: 0.000005] ETA: 5:53:46.998286
[Epoch 411/1000] [Batch 20/30] [loss: 0.065263] [loss1: 0.021691] [loss2: 0.020514] [loss3: 0.0230580] [lr: 0.000005] ETA: 5:54:18.687878 validation loss:[Epoch 411/1000] [mean loss: 0.059835] [mean PSNR: 35.461803]
[Epoch 412/1000] [Batch 0/30] [loss: 0.055122] [loss1: 0.018984] [loss2: 0.016483] [loss3: 0.0196548] [lr: 0.000005] ETA: 1 day, 9:01:45.292025
[Epoch 412/1000] [Batch 10/30] [loss: 0.045036] [loss1: 0.016245] [loss2: 0.013327] [loss3: 0.0154641] [lr: 0.000005] ETA: 5:52:21.953347
[Epoch 412/1000] [Batch 20/30] [loss: 0.040064] [loss1: 0.014371] [loss2: 0.012161] [loss3: 0.0135324] [lr: 0.000005] ETA: 5:52:28.390818 validation loss:[Epoch 412/1000] [mean loss: 0.060532] [mean PSNR: 35.325955]
[Epoch 413/1000] [Batch 0/30] [loss: 0.050531] [loss1: 0.018023] [loss2: 0.015660] [loss3: 0.0168478] [lr: 0.000005] ETA: 1 day, 9:36:16.222329
[Epoch 413/1000] [Batch 10/30] [loss: 0.041815] [loss1: 0.015278] [loss2: 0.012522] [loss3: 0.0140145] [lr: 0.000005] ETA: 5:52:45.185165
[Epoch 413/1000] [Batch 20/30] [loss: 0.043579] [loss1: 0.015054] [loss2: 0.013422] [loss3: 0.0151032] [lr: 0.000005] ETA: 5:53:15.156033 validation loss:[Epoch 413/1000] [mean loss: 0.059387] [mean PSNR: 35.241802]
[Epoch 414/1000] [Batch 0/30] [loss: 0.048259] [loss1: 0.015960] [loss2: 0.013810] [loss3: 0.0184890] [lr: 0.000005] ETA: 1 day, 8:32:09.740982
[Epoch 414/1000] [Batch 10/30] [loss: 0.042787] [loss1: 0.015309] [loss2: 0.012699] [loss3: 0.0147783] [lr: 0.000005] ETA: 5:52:08.492360
[Epoch 414/1000] [Batch 20/30] [loss: 0.052502] [loss1: 0.019047] [loss2: 0.015849] [loss3: 0.0176062] [lr: 0.000005] ETA: 5:52:06.414471 validation loss:[Epoch 414/1000] [mean loss: 0.066571] [mean PSNR: 34.491561]
[Epoch 415/1000] [Batch 0/30] [loss: 0.042452] [loss1: 0.015315] [loss2: 0.012852] [loss3: 0.0142849] [lr: 0.000005] ETA: 1 day, 8:14:15.583584
[Epoch 415/1000] [Batch 10/30] [loss: 0.047886] [loss1: 0.016567] [loss2: 0.014596] [loss3: 0.0167231] [lr: 0.000005] ETA: 5:50:36.789265
[Epoch 415/1000] [Batch 20/30] [loss: 0.038580] [loss1: 0.014829] [loss2: 0.011195] [loss3: 0.0125568] [lr: 0.000005] ETA: 5:53:28.717752 validation loss:[Epoch 415/1000] [mean loss: 0.056536] [mean PSNR: 35.699823]
[Epoch 416/1000] [Batch 0/30] [loss: 0.061772] [loss1: 0.021442] [loss2: 0.019026] [loss3: 0.0213032] [lr: 0.000005] ETA: 1 day, 8:23:14.889393
[Epoch 416/1000] [Batch 10/30] [loss: 0.047038] [loss1: 0.016113] [loss2: 0.013879] [loss3: 0.0170459] [lr: 0.000005] ETA: 5:50:12.130251
[Epoch 416/1000] [Batch 20/30] [loss: 0.065343] [loss1: 0.022169] [loss2: 0.019827] [loss3: 0.0233477] [lr: 0.000005] ETA: 5:49:36.886153 validation loss:[Epoch 416/1000] [mean loss: 0.049314] [mean PSNR: 36.621820]
[Epoch 417/1000] [Batch 0/30] [loss: 0.037007] [loss1: 0.013985] [loss2: 0.010452] [loss3: 0.0125697] [lr: 0.000005] ETA: 1 day, 9:01:12.043755
[Epoch 417/1000] [Batch 10/30] [loss: 0.046139] [loss1: 0.016538] [loss2: 0.014237] [loss3: 0.0153648] [lr: 0.000005] ETA: 5:50:40.710487
[Epoch 417/1000] [Batch 20/30] [loss: 0.036925] [loss1: 0.013966] [loss2: 0.010968] [loss3: 0.0119908] [lr: 0.000005] ETA: 5:50:20.609694 validation loss:[Epoch 417/1000] [mean loss: 0.056535] [mean PSNR: 35.813881]
[Epoch 418/1000] [Batch 0/30] [loss: 0.041188] [loss1: 0.014806] [loss2: 0.012588] [loss3: 0.0137944] [lr: 0.000005] ETA: 1 day, 7:50:54.873075
[Epoch 418/1000] [Batch 10/30] [loss: 0.034408] [loss1: 0.013311] [loss2: 0.010375] [loss3: 0.0107220] [lr: 0.000005] ETA: 5:49:17.753277
[Epoch 418/1000] [Batch 20/30] [loss: 0.041140] [loss1: 0.014637] [loss2: 0.012537] [loss3: 0.0139656] [lr: 0.000005] ETA: 5:49:39.639282 validation loss:[Epoch 418/1000] [mean loss: 0.056715] [mean PSNR: 35.532959]
[Epoch 419/1000] [Batch 0/30] [loss: 0.040898] [loss1: 0.013988] [loss2: 0.011908] [loss3: 0.0150010] [lr: 0.000005] ETA: 1 day, 9:05:05.962722
[Epoch 419/1000] [Batch 10/30] [loss: 0.041845] [loss1: 0.015270] [loss2: 0.012625] [loss3: 0.0139496] [lr: 0.000005] ETA: 5:49:01.920018
[Epoch 419/1000] [Batch 20/30] [loss: 0.037001] [loss1: 0.013389] [loss2: 0.011185] [loss3: 0.0124270] [lr: 0.000005] ETA: 5:48:15.923400 validation loss:[Epoch 419/1000] [mean loss: 0.058676] [mean PSNR: 35.229446]
[Epoch 420/1000] [Batch 0/30] [loss: 0.043676] [loss1: 0.015779] [loss2: 0.013169] [loss3: 0.0147279] [lr: 0.000005] ETA: 1 day, 9:54:51.646671
[Epoch 420/1000] [Batch 10/30] [loss: 0.035595] [loss1: 0.012855] [loss2: 0.010399] [loss3: 0.0123415] [lr: 0.000005] ETA: 5:48:51.941969
[Epoch 420/1000] [Batch 20/30] [loss: 0.041266] [loss1: 0.014801] [loss2: 0.012717] [loss3: 0.0137483] [lr: 0.000005] ETA: 5:48:35.918946 validation loss:[Epoch 420/1000] [mean loss: 0.062819] [mean PSNR: 35.415715]
[Epoch 421/1000] [Batch 0/30] [loss: 0.050208] [loss1: 0.016967] [loss2: 0.014877] [loss3: 0.0183638] [lr: 0.000005] ETA: 1 day, 7:13:18.378589
[Epoch 421/1000] [Batch 10/30] [loss: 0.036623] [loss1: 0.013259] [loss2: 0.010927] [loss3: 0.0124369] [lr: 0.000005] ETA: 5:47:42.761478
[Epoch 421/1000] [Batch 20/30] [loss: 0.048048] [loss1: 0.018209] [loss2: 0.014358] [loss3: 0.0154802] [lr: 0.000005] ETA: 5:47:36.204021 validation loss:[Epoch 421/1000] [mean loss: 0.058347] [mean PSNR: 36.005797]
[Epoch 422/1000] [Batch 0/30] [loss: 0.047347] [loss1: 0.017096] [loss2: 0.014096] [loss3: 0.0161559] [lr: 0.000005] ETA: 1 day, 7:21:26.078782
[Epoch 422/1000] [Batch 10/30] [loss: 0.036357] [loss1: 0.013246] [loss2: 0.010881] [loss3: 0.0122288] [lr: 0.000005] ETA: 5:47:07.270243
[Epoch 422/1000] [Batch 20/30] [loss: 0.040155] [loss1: 0.014844] [loss2: 0.011667] [loss3: 0.0136442] [lr: 0.000005] ETA: 5:46:43.665075 validation loss:[Epoch 422/1000] [mean loss: 0.052992] [mean PSNR: 35.846141]
[Epoch 423/1000] [Batch 0/30] [loss: 0.038080] [loss1: 0.013806] [loss2: 0.011491] [loss3: 0.0127827] [lr: 0.000005] ETA: 1 day, 8:18:58.000009
[Epoch 423/1000] [Batch 10/30] [loss: 0.049671] [loss1: 0.017441] [loss2: 0.015082] [loss3: 0.0171479] [lr: 0.000005] ETA: 5:47:27.043133
[Epoch 423/1000] [Batch 20/30] [loss: 0.043640] [loss1: 0.014782] [loss2: 0.013236] [loss3: 0.0156217] [lr: 0.000005] ETA: 5:46:28.489635 validation loss:[Epoch 423/1000] [mean loss: 0.042223] [mean PSNR: 36.136830]
[Epoch 424/1000] [Batch 0/30] [loss: 0.040205] [loss1: 0.015090] [loss2: 0.011992] [loss3: 0.0131234] [lr: 0.000005] ETA: 1 day, 9:17:10.775757
[Epoch 424/1000] [Batch 10/30] [loss: 0.037392] [loss1: 0.013381] [loss2: 0.010883] [loss3: 0.0131276] [lr: 0.000005] ETA: 5:46:44.543023
[Epoch 424/1000] [Batch 20/30] [loss: 0.044012] [loss1: 0.016196] [loss2: 0.013454] [loss3: 0.0143617] [lr: 0.000005] ETA: 5:46:27.582951 validation loss:[Epoch 424/1000] [mean loss: 0.057431] [mean PSNR: 35.757092]
[Epoch 425/1000] [Batch 0/30] [loss: 0.039624] [loss1: 0.014329] [loss2: 0.011622] [loss3: 0.0136727] [lr: 0.000005] ETA: 1 day, 7:59:09.519324
[Epoch 425/1000] [Batch 10/30] [loss: 0.037993] [loss1: 0.013519] [loss2: 0.011416] [loss3: 0.0130584] [lr: 0.000005] ETA: 5:55:43.788538
[Epoch 425/1000] [Batch 20/30] [loss: 0.045982] [loss1: 0.017188] [loss2: 0.014048] [loss3: 0.0147462] [lr: 0.000005] ETA: 5:45:07.155530 validation loss:[Epoch 425/1000] [mean loss: 0.050167] [mean PSNR: 36.197403]
[Epoch 426/1000] [Batch 0/30] [loss: 0.041541] [loss1: 0.014768] [loss2: 0.012934] [loss3: 0.0138390] [lr: 0.000005] ETA: 1 day, 9:08:12.498550
[Epoch 426/1000] [Batch 10/30] [loss: 0.054485] [loss1: 0.019143] [loss2: 0.015095] [loss3: 0.0202470] [lr: 0.000005] ETA: 5:44:27.141569
[Epoch 426/1000] [Batch 20/30] [loss: 0.056581] [loss1: 0.019265] [loss2: 0.017259] [loss3: 0.0200571] [lr: 0.000005] ETA: 5:45:04.350567 validation loss:[Epoch 426/1000] [mean loss: 0.053908] [mean PSNR: 35.829646]
[Epoch 427/1000] [Batch 0/30] [loss: 0.039967] [loss1: 0.014480] [loss2: 0.012138] [loss3: 0.0133493] [lr: 0.000005] ETA: 1 day, 6:50:26.802020
[Epoch 427/1000] [Batch 10/30] [loss: 0.045807] [loss1: 0.016964] [loss2: 0.013849] [loss3: 0.0149946] [lr: 0.000005] ETA: 5:43:51.254439
[Epoch 427/1000] [Batch 20/30] [loss: 0.045991] [loss1: 0.015232] [loss2: 0.013800] [loss3: 0.0169582] [lr: 0.000005] ETA: 5:43:30.047135 validation loss:[Epoch 427/1000] [mean loss: 0.061962] [mean PSNR: 35.154716]
[Epoch 428/1000] [Batch 0/30] [loss: 0.035922] [loss1: 0.013741] [loss2: 0.010793] [loss3: 0.0113888] [lr: 0.000005] ETA: 1 day, 7:55:14.023533
[Epoch 428/1000] [Batch 10/30] [loss: 0.045317] [loss1: 0.015070] [loss2: 0.013876] [loss3: 0.0163710] [lr: 0.000005] ETA: 5:42:41.110198
[Epoch 428/1000] [Batch 20/30] [loss: 0.050363] [loss1: 0.017950] [loss2: 0.015748] [loss3: 0.0166639] [lr: 0.000005] ETA: 5:42:58.748298 validation loss:[Epoch 428/1000] [mean loss: 0.056484] [mean PSNR: 35.223065]
[Epoch 429/1000] [Batch 0/30] [loss: 0.049803] [loss1: 0.017371] [loss2: 0.015060] [loss3: 0.0173725] [lr: 0.000005] ETA: 1 day, 7:57:17.640123
[Epoch 429/1000] [Batch 10/30] [loss: 0.041616] [loss1: 0.014974] [loss2: 0.013196] [loss3: 0.0134462] [lr: 0.000005] ETA: 5:42:51.038170
[Epoch 429/1000] [Batch 20/30] [loss: 0.066776] [loss1: 0.023261] [loss2: 0.021215] [loss3: 0.0223000] [lr: 0.000005] ETA: 5:43:08.989222 validation loss:[Epoch 429/1000] [mean loss: 0.061254] [mean PSNR: 35.189015]
[Epoch 430/1000] [Batch 0/30] [loss: 0.041339] [loss1: 0.014371] [loss2: 0.012090] [loss3: 0.0148780] [lr: 0.000005] ETA: 1 day, 6:53:06.423540
[Epoch 430/1000] [Batch 10/30] [loss: 0.047741] [loss1: 0.017184] [loss2: 0.014694] [loss3: 0.0158636] [lr: 0.000005] ETA: 5:41:59.067357
[Epoch 430/1000] [Batch 20/30] [loss: 0.043826] [loss1: 0.016088] [loss2: 0.013157] [loss3: 0.0145815] [lr: 0.000005] ETA: 5:42:16.995544 validation loss:[Epoch 430/1000] [mean loss: 0.055255] [mean PSNR: 36.100816]
[Epoch 431/1000] [Batch 0/30] [loss: 0.035416] [loss1: 0.012476] [loss2: 0.011031] [loss3: 0.0119084] [lr: 0.000005] ETA: 1 day, 6:57:51.096060
[Epoch 431/1000] [Batch 10/30] [loss: 0.044066] [loss1: 0.016415] [loss2: 0.013726] [loss3: 0.0139240] [lr: 0.000005] ETA: 5:41:33.944550
[Epoch 431/1000] [Batch 20/30] [loss: 0.036612] [loss1: 0.013259] [loss2: 0.011289] [loss3: 0.0120641] [lr: 0.000005] ETA: 5:42:08.545463 validation loss:[Epoch 431/1000] [mean loss: 0.055514] [mean PSNR: 36.198389]
[Epoch 432/1000] [Batch 0/30] [loss: 0.038294] [loss1: 0.013870] [loss2: 0.011809] [loss3: 0.0126151] [lr: 0.000005] ETA: 1 day, 8:02:54.303932
[Epoch 432/1000] [Batch 10/30] [loss: 0.038100] [loss1: 0.014133] [loss2: 0.011168] [loss3: 0.0127986] [lr: 0.000005] ETA: 5:41:01.345007
[Epoch 432/1000] [Batch 20/30] [loss: 0.044412] [loss1: 0.016354] [loss2: 0.013360] [loss3: 0.0146989] [lr: 0.000005] ETA: 5:41:11.206179 validation loss:[Epoch 432/1000] [mean loss: 0.058996] [mean PSNR: 35.656200]
[Epoch 433/1000] [Batch 0/30] [loss: 0.047097] [loss1: 0.016155] [loss2: 0.014386] [loss3: 0.0165555] [lr: 0.000005] ETA: 1 day, 7:54:17.442620
[Epoch 433/1000] [Batch 10/30] [loss: 0.035348] [loss1: 0.013666] [loss2: 0.010444] [loss3: 0.0112383] [lr: 0.000005] ETA: 5:40:26.682472
[Epoch 433/1000] [Batch 20/30] [loss: 0.042546] [loss1: 0.015601] [loss2: 0.013070] [loss3: 0.0138750] [lr: 0.000005] ETA: 5:39:22.335374 validation loss:[Epoch 433/1000] [mean loss: 0.055699] [mean PSNR: 35.538583]
[Epoch 434/1000] [Batch 0/30] [loss: 0.037501] [loss1: 0.014103] [loss2: 0.011032] [loss3: 0.0123658] [lr: 0.000005] ETA: 1 day, 9:15:55.413494
[Epoch 434/1000] [Batch 10/30] [loss: 0.043869] [loss1: 0.015948] [loss2: 0.013125] [loss3: 0.0147953] [lr: 0.000005] ETA: 5:40:09.481483
[Epoch 434/1000] [Batch 20/30] [loss: 0.038687] [loss1: 0.013920] [loss2: 0.011424] [loss3: 0.0133430] [lr: 0.000005] ETA: 5:39:47.390213 validation loss:[Epoch 434/1000] [mean loss: 0.057086] [mean PSNR: 35.954402]
[Epoch 435/1000] [Batch 0/30] [loss: 0.041451] [loss1: 0.015936] [loss2: 0.012171] [loss3: 0.0133436] [lr: 0.000005] ETA: 1 day, 6:06:46.298304
[Epoch 435/1000] [Batch 10/30] [loss: 0.043335] [loss1: 0.014926] [loss2: 0.013064] [loss3: 0.0153461] [lr: 0.000005] ETA: 5:38:51.361098
[Epoch 435/1000] [Batch 20/30] [loss: 0.047637] [loss1: 0.017910] [loss2: 0.014814] [loss3: 0.0149120] [lr: 0.000005] ETA: 5:38:26.805828 validation loss:[Epoch 435/1000] [mean loss: 0.045337] [mean PSNR: 36.416225]
[Epoch 436/1000] [Batch 0/30] [loss: 0.036015] [loss1: 0.013256] [loss2: 0.010913] [loss3: 0.0118447] [lr: 0.000005] ETA: 1 day, 7:56:04.123878
[Epoch 436/1000] [Batch 10/30] [loss: 0.035420] [loss1: 0.012740] [loss2: 0.010721] [loss3: 0.0119588] [lr: 0.000005] ETA: 5:38:11.258981
[Epoch 436/1000] [Batch 20/30] [loss: 0.040187] [loss1: 0.014206] [loss2: 0.012042] [loss3: 0.0139389] [lr: 0.000005] ETA: 5:38:06.109185 validation loss:[Epoch 436/1000] [mean loss: 0.059118] [mean PSNR: 35.286392]
[Epoch 437/1000] [Batch 0/30] [loss: 0.039074] [loss1: 0.014421] [loss2: 0.011922] [loss3: 0.0127305] [lr: 0.000005] ETA: 1 day, 6:22:00.381482
[Epoch 437/1000] [Batch 10/30] [loss: 0.039307] [loss1: 0.015433] [loss2: 0.011668] [loss3: 0.0122058] [lr: 0.000005] ETA: 5:37:59.854050
[Epoch 437/1000] [Batch 20/30] [loss: 0.052080] [loss1: 0.019234] [loss2: 0.015689] [loss3: 0.0171577] [lr: 0.000005] ETA: 5:38:24.622219 validation loss:[Epoch 437/1000] [mean loss: 0.058800] [mean PSNR: 35.218915]
[Epoch 438/1000] [Batch 0/30] [loss: 0.054533] [loss1: 0.018881] [loss2: 0.016843] [loss3: 0.0188091] [lr: 0.000005] ETA: 1 day, 6:24:09.598618
[Epoch 438/1000] [Batch 10/30] [loss: 0.043141] [loss1: 0.015649] [loss2: 0.013216] [loss3: 0.0142757] [lr: 0.000005] ETA: 5:36:47.518888
[Epoch 438/1000] [Batch 20/30] [loss: 0.046558] [loss1: 0.016616] [loss2: 0.013435] [loss3: 0.0165068] [lr: 0.000005] ETA: 5:38:06.059828 validation loss:[Epoch 438/1000] [mean loss: 0.056070] [mean PSNR: 35.842763]
[Epoch 439/1000] [Batch 0/30] [loss: 0.040649] [loss1: 0.015333] [loss2: 0.012177] [loss3: 0.0131385] [lr: 0.000005] ETA: 1 day, 6:17:14.256599
[Epoch 439/1000] [Batch 10/30] [loss: 0.051031] [loss1: 0.018306] [loss2: 0.015650] [loss3: 0.0170744] [lr: 0.000005] ETA: 5:36:13.105087
[Epoch 439/1000] [Batch 20/30] [loss: 0.040389] [loss1: 0.014679] [loss2: 0.012316] [loss3: 0.0133932] [lr: 0.000005] ETA: 5:36:37.486506 validation loss:[Epoch 439/1000] [mean loss: 0.062304] [mean PSNR: 35.046557]
[Epoch 440/1000] [Batch 0/30] [loss: 0.054833] [loss1: 0.018375] [loss2: 0.016842] [loss3: 0.0196170] [lr: 0.000005] ETA: 1 day, 7:54:07.038460
[Epoch 440/1000] [Batch 10/30] [loss: 0.040823] [loss1: 0.013677] [loss2: 0.011730] [loss3: 0.0154153] [lr: 0.000005] ETA: 5:35:54.817991
[Epoch 440/1000] [Batch 20/30] [loss: 0.036512] [loss1: 0.013882] [loss2: 0.011228] [loss3: 0.0114015] [lr: 0.000005] ETA: 5:36:39.223289 validation loss:[Epoch 440/1000] [mean loss: 0.055312] [mean PSNR: 36.030577]
[Epoch 441/1000] [Batch 0/30] [loss: 0.043830] [loss1: 0.016459] [loss2: 0.013641] [loss3: 0.0137300] [lr: 0.000005] ETA: 1 day, 7:15:57.035587
[Epoch 441/1000] [Batch 10/30] [loss: 0.053905] [loss1: 0.018463] [loss2: 0.016677] [loss3: 0.0187651] [lr: 0.000005] ETA: 5:35:34.489698
[Epoch 441/1000] [Batch 20/30] [loss: 0.039489] [loss1: 0.014207] [loss2: 0.012102] [loss3: 0.0131807] [lr: 0.000005] ETA: 5:35:04.992688 validation loss:[Epoch 441/1000] [mean loss: 0.056910] [mean PSNR: 35.425236]
[Epoch 442/1000] [Batch 0/30] [loss: 0.045061] [loss1: 0.015421] [loss2: 0.013841] [loss3: 0.0157991] [lr: 0.000005] ETA: 1 day, 6:44:02.178741
[Epoch 442/1000] [Batch 10/30] [loss: 0.059162] [loss1: 0.020941] [loss2: 0.018119] [loss3: 0.0201018] [lr: 0.000005] ETA: 5:34:55.370133
[Epoch 442/1000] [Batch 20/30] [loss: 0.048220] [loss1: 0.017570] [loss2: 0.014917] [loss3: 0.0157335] [lr: 0.000005] ETA: 5:35:15.966969 validation loss:[Epoch 442/1000] [mean loss: 0.052366] [mean PSNR: 35.907751]
[Epoch 443/1000] [Batch 0/30] [loss: 0.043013] [loss1: 0.015188] [loss2: 0.012357] [loss3: 0.0154677] [lr: 0.000003] ETA: 1 day, 7:40:23.532171
[Epoch 443/1000] [Batch 10/30] [loss: 0.040947] [loss1: 0.014149] [loss2: 0.012676] [loss3: 0.0141222] [lr: 0.000003] ETA: 5:34:16.078458
[Epoch 443/1000] [Batch 20/30] [loss: 0.046707] [loss1: 0.015256] [loss2: 0.012707] [loss3: 0.0187436] [lr: 0.000003] ETA: 5:34:25.823150 validation loss:[Epoch 443/1000] [mean loss: 0.055950] [mean PSNR: 35.446336]
[Epoch 444/1000] [Batch 0/30] [loss: 0.045508] [loss1: 0.015903] [loss2: 0.014035] [loss3: 0.0155705] [lr: 0.000003] ETA: 1 day, 5:47:19.186134
[Epoch 444/1000] [Batch 10/30] [loss: 0.042311] [loss1: 0.015054] [loss2: 0.012790] [loss3: 0.0144671] [lr: 0.000003] ETA: 5:33:17.299893
[Epoch 444/1000] [Batch 20/30] [loss: 0.052451] [loss1: 0.019149] [loss2: 0.015966] [loss3: 0.0173358] [lr: 0.000003] ETA: 5:33:59.740906 validation loss:[Epoch 444/1000] [mean loss: 0.061458] [mean PSNR: 34.861966]
[Epoch 445/1000] [Batch 0/30] [loss: 0.061739] [loss1: 0.020802] [loss2: 0.018769] [loss3: 0.0221677] [lr: 0.000003] ETA: 1 day, 6:28:39.715476
[Epoch 445/1000] [Batch 10/30] [loss: 0.048290] [loss1: 0.017453] [loss2: 0.014463] [loss3: 0.0163729] [lr: 0.000003] ETA: 5:32:57.208862
[Epoch 445/1000] [Batch 20/30] [loss: 0.047061] [loss1: 0.016670] [loss2: 0.014461] [loss3: 0.0159304] [lr: 0.000003] ETA: 5:32:58.628483 validation loss:[Epoch 445/1000] [mean loss: 0.052306] [mean PSNR: 35.625688]
[Epoch 446/1000] [Batch 0/30] [loss: 0.043372] [loss1: 0.015424] [loss2: 0.013244] [loss3: 0.0147043] [lr: 0.000003] ETA: 1 day, 6:06:39.821692
[Epoch 446/1000] [Batch 10/30] [loss: 0.039831] [loss1: 0.013850] [loss2: 0.012015] [loss3: 0.0139651] [lr: 0.000003] ETA: 5:32:11.961191
[Epoch 446/1000] [Batch 20/30] [loss: 0.045502] [loss1: 0.015925] [loss2: 0.013506] [loss3: 0.0160707] [lr: 0.000003] ETA: 5:32:59.580736 validation loss:[Epoch 446/1000] [mean loss: 0.055208] [mean PSNR: 35.676348]
[Epoch 447/1000] [Batch 0/30] [loss: 0.041560] [loss1: 0.013408] [loss2: 0.012013] [loss3: 0.0161393] [lr: 0.000003] ETA: 1 day, 7:34:31.575007
[Epoch 447/1000] [Batch 10/30] [loss: 0.043276] [loss1: 0.015769] [loss2: 0.012958] [loss3: 0.0145489] [lr: 0.000003] ETA: 5:31:57.014832
[Epoch 447/1000] [Batch 20/30] [loss: 0.038432] [loss1: 0.013780] [loss2: 0.011052] [loss3: 0.0136003] [lr: 0.000003] ETA: 5:31:33.545430 validation loss:[Epoch 447/1000] [mean loss: 0.055152] [mean PSNR: 35.866908]
[Epoch 448/1000] [Batch 0/30] [loss: 0.036611] [loss1: 0.012982] [loss2: 0.010987] [loss3: 0.0126430] [lr: 0.000003] ETA: 1 day, 5:14:20.483894
[Epoch 448/1000] [Batch 10/30] [loss: 0.036008] [loss1: 0.012930] [loss2: 0.011111] [loss3: 0.0119677] [lr: 0.000003] ETA: 5:31:06.081309
[Epoch 448/1000] [Batch 20/30] [loss: 0.047231] [loss1: 0.016882] [loss2: 0.014446] [loss3: 0.0159034] [lr: 0.000003] ETA: 5:31:28.957391 validation loss:[Epoch 448/1000] [mean loss: 0.070807] [mean PSNR: 34.346875]
[Epoch 449/1000] [Batch 0/30] [loss: 0.045768] [loss1: 0.016283] [loss2: 0.013314] [loss3: 0.0161716] [lr: 0.000003] ETA: 1 day, 5:10:47.007408
[Epoch 449/1000] [Batch 10/30] [loss: 0.041585] [loss1: 0.015315] [loss2: 0.012720] [loss3: 0.0135500] [lr: 0.000003] ETA: 5:31:40.064478
[Epoch 449/1000] [Batch 20/30] [loss: 0.035427] [loss1: 0.012500] [loss2: 0.010287] [loss3: 0.0126396] [lr: 0.000003] ETA: 5:30:30.009317 validation loss:[Epoch 449/1000] [mean loss: 0.058995] [mean PSNR: 35.441572]
[Epoch 450/1000] [Batch 0/30] [loss: 0.042275] [loss1: 0.014983] [loss2: 0.012415] [loss3: 0.0148769] [lr: 0.000003] ETA: 1 day, 5:51:12.489953
[Epoch 450/1000] [Batch 10/30] [loss: 0.049007] [loss1: 0.017106] [loss2: 0.014898] [loss3: 0.0170033] [lr: 0.000003] ETA: 5:30:00.436192
[Epoch 450/1000] [Batch 20/30] [loss: 0.044159] [loss1: 0.015954] [loss2: 0.013631] [loss3: 0.0145736] [lr: 0.000003] ETA: 5:30:29.794617 validation loss:[Epoch 450/1000] [mean loss: 0.049278] [mean PSNR: 36.285029]
[Epoch 451/1000] [Batch 0/30] [loss: 0.045322] [loss1: 0.015870] [loss2: 0.014017] [loss3: 0.0154348] [lr: 0.000003] ETA: 1 day, 6:13:04.114709
[Epoch 451/1000] [Batch 10/30] [loss: 0.037093] [loss1: 0.013451] [loss2: 0.010944] [loss3: 0.0126982] [lr: 0.000003] ETA: 5:29:12.550197
[Epoch 451/1000] [Batch 20/30] [loss: 0.040627] [loss1: 0.014947] [loss2: 0.012664] [loss3: 0.0130160] [lr: 0.000003] ETA: 5:29:40.444300 validation loss:[Epoch 451/1000] [mean loss: 0.056279] [mean PSNR: 35.434254]
[Epoch 452/1000] [Batch 0/30] [loss: 0.040912] [loss1: 0.014065] [loss2: 0.011763] [loss3: 0.0150842] [lr: 0.000003] ETA: 1 day, 5:41:10.888653
[Epoch 452/1000] [Batch 10/30] [loss: 0.057337] [loss1: 0.019948] [loss2: 0.017743] [loss3: 0.0196466] [lr: 0.000003] ETA: 5:29:01.615467
[Epoch 452/1000] [Batch 20/30] [loss: 0.035123] [loss1: 0.012912] [loss2: 0.010440] [loss3: 0.0117711] [lr: 0.000003] ETA: 5:28:45.555854 validation loss:[Epoch 452/1000] [mean loss: 0.058321] [mean PSNR: 35.461007]
[Epoch 453/1000] [Batch 0/30] [loss: 0.040025] [loss1: 0.014618] [loss2: 0.011708] [loss3: 0.0136980] [lr: 0.000003] ETA: 1 day, 5:22:27.084718
[Epoch 453/1000] [Batch 10/30] [loss: 0.039391] [loss1: 0.014497] [loss2: 0.011638] [loss3: 0.0132564] [lr: 0.000003] ETA: 5:27:39.273529
[Epoch 453/1000] [Batch 20/30] [loss: 0.046339] [loss1: 0.017475] [loss2: 0.013940] [loss3: 0.0149232] [lr: 0.000003] ETA: 5:28:49.753857 validation loss:[Epoch 453/1000] [mean loss: 0.049464] [mean PSNR: 36.345028]
[Epoch 454/1000] [Batch 0/30] [loss: 0.033772] [loss1: 0.012292] [loss2: 0.009930] [loss3: 0.0115510] [lr: 0.000003] ETA: 1 day, 5:37:24.629230
[Epoch 454/1000] [Batch 10/30] [loss: 0.045431] [loss1: 0.017092] [loss2: 0.013759] [loss3: 0.0145794] [lr: 0.000003] ETA: 5:27:28.922353
[Epoch 454/1000] [Batch 20/30] [loss: 0.042048] [loss1: 0.014704] [loss2: 0.012736] [loss3: 0.0146081] [lr: 0.000003] ETA: 5:26:59.757023 validation loss:[Epoch 454/1000] [mean loss: 0.053778] [mean PSNR: 35.950753]
[Epoch 455/1000] [Batch 0/30] [loss: 0.047809] [loss1: 0.016833] [loss2: 0.014623] [loss3: 0.0163527] [lr: 0.000003] ETA: 1 day, 6:12:51.328390
[Epoch 455/1000] [Batch 10/30] [loss: 0.044325] [loss1: 0.015264] [loss2: 0.013640] [loss3: 0.0154207] [lr: 0.000003] ETA: 5:27:36.047182
[Epoch 455/1000] [Batch 20/30] [loss: 0.051670] [loss1: 0.017948] [loss2: 0.016074] [loss3: 0.0176482] [lr: 0.000003] ETA: 5:26:40.957046 validation loss:[Epoch 455/1000] [mean loss: 0.046644] [mean PSNR: 35.730369]
[Epoch 456/1000] [Batch 0/30] [loss: 0.043696] [loss1: 0.015795] [loss2: 0.013275] [loss3: 0.0146258] [lr: 0.000003] ETA: 1 day, 6:23:36.731186
[Epoch 456/1000] [Batch 10/30] [loss: 0.038758] [loss1: 0.014308] [loss2: 0.011513] [loss3: 0.0129366] [lr: 0.000003] ETA: 5:26:17.864797
[Epoch 456/1000] [Batch 20/30] [loss: 0.036715] [loss1: 0.013826] [loss2: 0.010683] [loss3: 0.0122052] [lr: 0.000003] ETA: 5:26:10.369220 validation loss:[Epoch 456/1000] [mean loss: 0.060155] [mean PSNR: 35.403191]
[Epoch 457/1000] [Batch 0/30] [loss: 0.039479] [loss1: 0.014808] [loss2: 0.012030] [loss3: 0.0126404] [lr: 0.000003] ETA: 1 day, 5:41:44.612510
[Epoch 457/1000] [Batch 10/30] [loss: 0.032085] [loss1: 0.012427] [loss2: 0.009525] [loss3: 0.0101324] [lr: 0.000003] ETA: 5:25:44.384718
[Epoch 457/1000] [Batch 20/30] [loss: 0.052720] [loss1: 0.018853] [loss2: 0.016654] [loss3: 0.0172128] [lr: 0.000003] ETA: 5:25:02.758987 validation loss:[Epoch 457/1000] [mean loss: 0.048895] [mean PSNR: 36.443549]
[Epoch 458/1000] [Batch 0/30] [loss: 0.044699] [loss1: 0.016534] [loss2: 0.013327] [loss3: 0.0148385] [lr: 0.000003] ETA: 1 day, 5:32:51.354718
[Epoch 458/1000] [Batch 10/30] [loss: 0.053858] [loss1: 0.019621] [loss2: 0.016438] [loss3: 0.0177987] [lr: 0.000003] ETA: 5:24:43.298659
[Epoch 458/1000] [Batch 20/30] [loss: 0.040834] [loss1: 0.014675] [loss2: 0.012513] [loss3: 0.0136463] [lr: 0.000003] ETA: 5:24:42.955666 validation loss:[Epoch 458/1000] [mean loss: 0.065345] [mean PSNR: 34.901503]
[Epoch 459/1000] [Batch 0/30] [loss: 0.049260] [loss1: 0.017409] [loss2: 0.014840] [loss3: 0.0170110] [lr: 0.000003] ETA: 1 day, 4:11:47.778468
[Epoch 459/1000] [Batch 10/30] [loss: 0.067473] [loss1: 0.023056] [loss2: 0.020317] [loss3: 0.0241002] [lr: 0.000003] ETA: 5:25:08.213892
[Epoch 459/1000] [Batch 20/30] [loss: 0.046333] [loss1: 0.015434] [loss2: 0.013830] [loss3: 0.0170686] [lr: 0.000003] ETA: 5:25:01.264935 validation loss:[Epoch 459/1000] [mean loss: 0.059247] [mean PSNR: 35.299746]
[Epoch 460/1000] [Batch 0/30] [loss: 0.036926] [loss1: 0.014092] [loss2: 0.011066] [loss3: 0.0117677] [lr: 0.000003] ETA: 1 day, 6:07:39.574413
[Epoch 460/1000] [Batch 10/30] [loss: 0.048903] [loss1: 0.017133] [loss2: 0.014833] [loss3: 0.0169373] [lr: 0.000003] ETA: 5:24:10.963893
[Epoch 460/1000] [Batch 20/30] [loss: 0.039345] [loss1: 0.014732] [loss2: 0.011448] [loss3: 0.0131652] [lr: 0.000003] ETA: 5:24:05.727534 validation loss:[Epoch 460/1000] [mean loss: 0.057175] [mean PSNR: 35.595395]
[Epoch 461/1000] [Batch 0/30] [loss: 0.066546] [loss1: 0.023464] [loss2: 0.021040] [loss3: 0.0220410] [lr: 0.000003] ETA: 1 day, 3:41:45.282254
[Epoch 461/1000] [Batch 10/30] [loss: 0.041802] [loss1: 0.014566] [loss2: 0.012369] [loss3: 0.0148670] [lr: 0.000003] ETA: 5:23:55.395355
[Epoch 461/1000] [Batch 20/30] [loss: 0.049227] [loss1: 0.016523] [loss2: 0.014106] [loss3: 0.0185979] [lr: 0.000003] ETA: 5:24:09.836564 validation loss:[Epoch 461/1000] [mean loss: 0.054527] [mean PSNR: 35.653150]
[Epoch 462/1000] [Batch 0/30] [loss: 0.049202] [loss1: 0.017837] [loss2: 0.014974] [loss3: 0.0163910] [lr: 0.000003] ETA: 1 day, 4:52:40.756645
[Epoch 462/1000] [Batch 10/30] [loss: 0.049013] [loss1: 0.015704] [loss2: 0.014429] [loss3: 0.0188796] [lr: 0.000003] ETA: 5:22:18.018315
[Epoch 462/1000] [Batch 20/30] [loss: 0.044231] [loss1: 0.015735] [loss2: 0.013046] [loss3: 0.0154490] [lr: 0.000003] ETA: 5:22:50.050707 validation loss:[Epoch 462/1000] [mean loss: 0.067336] [mean PSNR: 34.746703]
[Epoch 463/1000] [Batch 0/30] [loss: 0.049786] [loss1: 0.017233] [loss2: 0.014712] [loss3: 0.0178409] [lr: 0.000003] ETA: 1 day, 5:33:21.891267
[Epoch 463/1000] [Batch 10/30] [loss: 0.045618] [loss1: 0.016078] [loss2: 0.013743] [loss3: 0.0157963] [lr: 0.000003] ETA: 5:22:06.856399
[Epoch 463/1000] [Batch 20/30] [loss: 0.047767] [loss1: 0.017109] [loss2: 0.014877] [loss3: 0.0157805] [lr: 0.000003] ETA: 5:22:30.137093 validation loss:[Epoch 463/1000] [mean loss: 0.058053] [mean PSNR: 35.564452]
[Epoch 464/1000] [Batch 0/30] [loss: 0.044483] [loss1: 0.015887] [loss2: 0.013606] [loss3: 0.0149904] [lr: 0.000003] ETA: 1 day, 5:51:43.375225
[Epoch 464/1000] [Batch 10/30] [loss: 0.048949] [loss1: 0.016940] [loss2: 0.014790] [loss3: 0.0172191] [lr: 0.000003] ETA: 5:21:43.422065
[Epoch 464/1000] [Batch 20/30] [loss: 0.035276] [loss1: 0.012836] [loss2: 0.011037] [loss3: 0.0114030] [lr: 0.000003] ETA: 5:21:32.746301 validation loss:[Epoch 464/1000] [mean loss: 0.053235] [mean PSNR: 36.094891]
[Epoch 465/1000] [Batch 0/30] [loss: 0.037750] [loss1: 0.013907] [loss2: 0.011372] [loss3: 0.0124718] [lr: 0.000003] ETA: 1 day, 5:25:13.505745
[Epoch 465/1000] [Batch 10/30] [loss: 0.054974] [loss1: 0.018916] [loss2: 0.017174] [loss3: 0.0188836] [lr: 0.000003] ETA: 5:21:24.667521
[Epoch 465/1000] [Batch 20/30] [loss: 0.042404] [loss1: 0.016289] [loss2: 0.012501] [loss3: 0.0136142] [lr: 0.000003] ETA: 5:21:22.780206 validation loss:[Epoch 465/1000] [mean loss: 0.045289] [mean PSNR: 37.015008]
[Epoch 466/1000] [Batch 0/30] [loss: 0.047917] [loss1: 0.017294] [loss2: 0.014803] [loss3: 0.0158202] [lr: 0.000003] ETA: 1 day, 5:13:53.489456
[Epoch 466/1000] [Batch 10/30] [loss: 0.035714] [loss1: 0.013147] [loss2: 0.010942] [loss3: 0.0116249] [lr: 0.000003] ETA: 5:20:40.071580
[Epoch 466/1000] [Batch 20/30] [loss: 0.044495] [loss1: 0.015139] [loss2: 0.012610] [loss3: 0.0167461] [lr: 0.000003] ETA: 5:20:13.188171 validation loss:[Epoch 466/1000] [mean loss: 0.055982] [mean PSNR: 35.503570]
[Epoch 467/1000] [Batch 0/30] [loss: 0.041425] [loss1: 0.015562] [loss2: 0.012717] [loss3: 0.0131467] [lr: 0.000003] ETA: 1 day, 4:57:07.282419
[Epoch 467/1000] [Batch 10/30] [loss: 0.056020] [loss1: 0.019313] [loss2: 0.017175] [loss3: 0.0195323] [lr: 0.000003] ETA: 5:19:32.876620
[Epoch 467/1000] [Batch 20/30] [loss: 0.037337] [loss1: 0.013312] [loss2: 0.011432] [loss3: 0.0125933] [lr: 0.000003] ETA: 5:19:50.208092 validation loss:[Epoch 467/1000] [mean loss: 0.051334] [mean PSNR: 35.717722]
[Epoch 468/1000] [Batch 0/30] [loss: 0.042278] [loss1: 0.014235] [loss2: 0.012594] [loss3: 0.0154494] [lr: 0.000003] ETA: 1 day, 5:02:55.457239
[Epoch 468/1000] [Batch 10/30] [loss: 0.044956] [loss1: 0.015294] [loss2: 0.013139] [loss3: 0.0165231] [lr: 0.000003] ETA: 5:19:07.800255
[Epoch 468/1000] [Batch 20/30] [loss: 0.047890] [loss1: 0.016731] [loss2: 0.014966] [loss3: 0.0161930] [lr: 0.000003] ETA: 5:19:23.800454 validation loss:[Epoch 468/1000] [mean loss: 0.056813] [mean PSNR: 35.556127]
[Epoch 469/1000] [Batch 0/30] [loss: 0.054590] [loss1: 0.018413] [loss2: 0.016549] [loss3: 0.0196282] [lr: 0.000003] ETA: 1 day, 4:48:37.847342
[Epoch 469/1000] [Batch 10/30] [loss: 0.049878] [loss1: 0.017537] [loss2: 0.014878] [loss3: 0.0174633] [lr: 0.000003] ETA: 5:18:44.865303
[Epoch 469/1000] [Batch 20/30] [loss: 0.039941] [loss1: 0.014539] [loss2: 0.012075] [loss3: 0.0133262] [lr: 0.000003] ETA: 5:18:56.791332 validation loss:[Epoch 469/1000] [mean loss: 0.047092] [mean PSNR: 36.577646]
[Epoch 470/1000] [Batch 0/30] [loss: 0.039919] [loss1: 0.013980] [loss2: 0.011874] [loss3: 0.0140663] [lr: 0.000003] ETA: 1 day, 4:50:47.193432
[Epoch 470/1000] [Batch 10/30] [loss: 0.035512] [loss1: 0.013199] [loss2: 0.010557] [loss3: 0.0117567] [lr: 0.000003] ETA: 5:18:08.356214
[Epoch 470/1000] [Batch 20/30] [loss: 0.047317] [loss1: 0.016401] [loss2: 0.014052] [loss3: 0.0168633] [lr: 0.000003] ETA: 5:18:15.542650 validation loss:[Epoch 470/1000] [mean loss: 0.048544] [mean PSNR: 36.082786]
[Epoch 471/1000] [Batch 0/30] [loss: 0.056487] [loss1: 0.020546] [loss2: 0.017696] [loss3: 0.0182447] [lr: 0.000003] ETA: 1 day, 4:55:42.580497
[Epoch 471/1000] [Batch 10/30] [loss: 0.044397] [loss1: 0.016206] [loss2: 0.013629] [loss3: 0.0145626] [lr: 0.000003] ETA: 5:18:40.873089
[Epoch 471/1000] [Batch 20/30] [loss: 0.043037] [loss1: 0.014414] [loss2: 0.012274] [loss3: 0.0163489] [lr: 0.000003] ETA: 5:17:52.815144 validation loss:[Epoch 471/1000] [mean loss: 0.050777] [mean PSNR: 36.066236]
[Epoch 472/1000] [Batch 0/30] [loss: 0.043543] [loss1: 0.015518] [loss2: 0.013025] [loss3: 0.0150009] [lr: 0.000003] ETA: 1 day, 6:19:25.004311
[Epoch 472/1000] [Batch 10/30] [loss: 0.043878] [loss1: 0.014801] [loss2: 0.012343] [loss3: 0.0167330] [lr: 0.000003] ETA: 5:16:54.433782
[Epoch 472/1000] [Batch 20/30] [loss: 0.052076] [loss1: 0.018935] [loss2: 0.016013] [loss3: 0.0171283] [lr: 0.000003] ETA: 5:17:51.958709 validation loss:[Epoch 472/1000] [mean loss: 0.053757] [mean PSNR: 35.807674]
[Epoch 473/1000] [Batch 0/30] [loss: 0.045901] [loss1: 0.016848] [loss2: 0.014351] [loss3: 0.0147015] [lr: 0.000003] ETA: 1 day, 3:27:46.398618
[Epoch 473/1000] [Batch 10/30] [loss: 0.045922] [loss1: 0.016510] [loss2: 0.013861] [loss3: 0.0155515] [lr: 0.000003] ETA: 5:16:03.033199
[Epoch 473/1000] [Batch 20/30] [loss: 0.037207] [loss1: 0.013544] [loss2: 0.011392] [loss3: 0.0122705] [lr: 0.000003] ETA: 5:16:13.073184 validation loss:[Epoch 473/1000] [mean loss: 0.052500] [mean PSNR: 36.041012]
[Epoch 474/1000] [Batch 0/30] [loss: 0.038592] [loss1: 0.015003] [loss2: 0.011319] [loss3: 0.0122697] [lr: 0.000003] ETA: 1 day, 2:52:34.784160
[Epoch 474/1000] [Batch 10/30] [loss: 0.054856] [loss1: 0.019394] [loss2: 0.016588] [loss3: 0.0188738] [lr: 0.000003] ETA: 5:15:52.282426
[Epoch 474/1000] [Batch 20/30] [loss: 0.042138] [loss1: 0.015571] [loss2: 0.012850] [loss3: 0.0137161] [lr: 0.000003] ETA: 5:15:33.260555 validation loss:[Epoch 474/1000] [mean loss: 0.062514] [mean PSNR: 35.018583]
[Epoch 475/1000] [Batch 0/30] [loss: 0.041271] [loss1: 0.015551] [loss2: 0.012612] [loss3: 0.0131076] [lr: 0.000003] ETA: 1 day, 4:10:24.649894
[Epoch 475/1000] [Batch 10/30] [loss: 0.041437] [loss1: 0.014122] [loss2: 0.012732] [loss3: 0.0145829] [lr: 0.000003] ETA: 5:14:34.633603
[Epoch 475/1000] [Batch 20/30] [loss: 0.055002] [loss1: 0.020363] [loss2: 0.018431] [loss3: 0.0162084] [lr: 0.000003] ETA: 5:14:47.154214 validation loss:[Epoch 475/1000] [mean loss: 0.053922] [mean PSNR: 35.010885]
[Epoch 476/1000] [Batch 0/30] [loss: 0.050612] [loss1: 0.018060] [loss2: 0.015699] [loss3: 0.0168530] [lr: 0.000003] ETA: 1 day, 4:50:36.139755
[Epoch 476/1000] [Batch 10/30] [loss: 0.039225] [loss1: 0.013976] [loss2: 0.011615] [loss3: 0.0136340] [lr: 0.000003] ETA: 5:14:40.770364
[Epoch 476/1000] [Batch 20/30] [loss: 0.040515] [loss1: 0.015086] [loss2: 0.012478] [loss3: 0.0129505] [lr: 0.000003] ETA: 5:14:36.500416 validation loss:[Epoch 476/1000] [mean loss: 0.057779] [mean PSNR: 35.234984]
[Epoch 477/1000] [Batch 0/30] [loss: 0.043319] [loss1: 0.016152] [loss2: 0.013407] [loss3: 0.0137600] [lr: 0.000003] ETA: 1 day, 5:08:02.651410
[Epoch 477/1000] [Batch 10/30] [loss: 0.041024] [loss1: 0.014394] [loss2: 0.012555] [loss3: 0.0140754] [lr: 0.000003] ETA: 5:14:00.801315
[Epoch 477/1000] [Batch 20/30] [loss: 0.046475] [loss1: 0.015875] [loss2: 0.013488] [loss3: 0.0171126] [lr: 0.000003] ETA: 5:14:07.028480 validation loss:[Epoch 477/1000] [mean loss: 0.065721] [mean PSNR: 34.822233]
[Epoch 478/1000] [Batch 0/30] [loss: 0.042830] [loss1: 0.015398] [loss2: 0.012971] [loss3: 0.0144608] [lr: 0.000003] ETA: 1 day, 5:31:18.953032
[Epoch 478/1000] [Batch 10/30] [loss: 0.043748] [loss1: 0.016035] [loss2: 0.012797] [loss3: 0.0149160] [lr: 0.000003] ETA: 5:13:40.350492
[Epoch 478/1000] [Batch 20/30] [loss: 0.033492] [loss1: 0.011335] [loss2: 0.009401] [loss3: 0.0127554] [lr: 0.000003] ETA: 5:13:23.272095 validation loss:[Epoch 478/1000] [mean loss: 0.052540] [mean PSNR: 35.967890]
[Epoch 479/1000] [Batch 0/30] [loss: 0.049547] [loss1: 0.017393] [loss2: 0.014723] [loss3: 0.0174313] [lr: 0.000003] ETA: 1 day, 4:54:12.358010
[Epoch 479/1000] [Batch 10/30] [loss: 0.044117] [loss1: 0.015687] [loss2: 0.013313] [loss3: 0.0151169] [lr: 0.000003] ETA: 5:12:54.251595
[Epoch 479/1000] [Batch 20/30] [loss: 0.077890] [loss1: 0.027761] [loss2: 0.024681] [loss3: 0.0254480] [lr: 0.000003] ETA: 5:13:34.671178 validation loss:[Epoch 479/1000] [mean loss: 0.048308] [mean PSNR: 35.868098]
[Epoch 480/1000] [Batch 0/30] [loss: 0.047888] [loss1: 0.016985] [loss2: 0.014558] [loss3: 0.0163454] [lr: 0.000003] ETA: 1 day, 4:05:47.543049
[Epoch 480/1000] [Batch 10/30] [loss: 0.042503] [loss1: 0.015465] [loss2: 0.013378] [loss3: 0.0136606] [lr: 0.000003] ETA: 5:11:49.275656
[Epoch 480/1000] [Batch 20/30] [loss: 0.039558] [loss1: 0.014324] [loss2: 0.012056] [loss3: 0.0131778] [lr: 0.000003] ETA: 5:12:56.840744 validation loss:[Epoch 480/1000] [mean loss: 0.053889] [mean PSNR: 35.537256]
[Epoch 481/1000] [Batch 0/30] [loss: 0.045395] [loss1: 0.015184] [loss2: 0.013638] [loss3: 0.0165728] [lr: 0.000003] ETA: 1 day, 3:44:34.726424
[Epoch 481/1000] [Batch 10/30] [loss: 0.050573] [loss1: 0.018156] [loss2: 0.015459] [loss3: 0.0169575] [lr: 0.000003] ETA: 5:12:52.981310
[Epoch 481/1000] [Batch 20/30] [loss: 0.040328] [loss1: 0.014759] [loss2: 0.011854] [loss3: 0.0137148] [lr: 0.000003] ETA: 5:12:19.520955 validation loss:[Epoch 481/1000] [mean loss: 0.063154] [mean PSNR: 34.843145]
[Epoch 482/1000] [Batch 0/30] [loss: 0.048069] [loss1: 0.016714] [loss2: 0.014799] [loss3: 0.0165568] [lr: 0.000003] ETA: 1 day, 3:39:14.214277
[Epoch 482/1000] [Batch 10/30] [loss: 0.039226] [loss1: 0.014408] [loss2: 0.011626] [loss3: 0.0131917] [lr: 0.000003] ETA: 5:10:14.492102
[Epoch 482/1000] [Batch 20/30] [loss: 0.036158] [loss1: 0.013701] [loss2: 0.010869] [loss3: 0.0115882] [lr: 0.000003] ETA: 5:11:39.134445 validation loss:[Epoch 482/1000] [mean loss: 0.054864] [mean PSNR: 35.723198]
[Epoch 483/1000] [Batch 0/30] [loss: 0.038629] [loss1: 0.014312] [loss2: 0.011596] [loss3: 0.0127207] [lr: 0.000003] ETA: 1 day, 5:26:22.325206
[Epoch 483/1000] [Batch 10/30] [loss: 0.046789] [loss1: 0.016726] [loss2: 0.014528] [loss3: 0.0155357] [lr: 0.000003] ETA: 5:09:53.759060
[Epoch 483/1000] [Batch 20/30] [loss: 0.042389] [loss1: 0.015069] [loss2: 0.012327] [loss3: 0.0149929] [lr: 0.000003] ETA: 5:11:19.441988 validation loss:[Epoch 483/1000] [mean loss: 0.052355] [mean PSNR: 35.768125]
[Epoch 484/1000] [Batch 0/30] [loss: 0.045798] [loss1: 0.016189] [loss2: 0.013401] [loss3: 0.0162082] [lr: 0.000003] ETA: 1 day, 5:20:09.325132
[Epoch 484/1000] [Batch 10/30] [loss: 0.042562] [loss1: 0.015087] [loss2: 0.013184] [loss3: 0.0142907] [lr: 0.000003] ETA: 5:09:17.594099
[Epoch 484/1000] [Batch 20/30] [loss: 0.038167] [loss1: 0.014052] [loss2: 0.011607] [loss3: 0.0125081] [lr: 0.000003] ETA: 5:09:37.411685 validation loss:[Epoch 484/1000] [mean loss: 0.055939] [mean PSNR: 35.663427]
[Epoch 485/1000] [Batch 0/30] [loss: 0.033745] [loss1: 0.012814] [loss2: 0.010193] [loss3: 0.0107382] [lr: 0.000003] ETA: 1 day, 3:35:17.001450
[Epoch 485/1000] [Batch 10/30] [loss: 0.039843] [loss1: 0.015249] [loss2: 0.011923] [loss3: 0.0126706] [lr: 0.000003] ETA: 5:08:48.884220
[Epoch 485/1000] [Batch 20/30] [loss: 0.050772] [loss1: 0.018218] [loss2: 0.015233] [loss3: 0.0173222] [lr: 0.000003] ETA: 5:09:31.981015 validation loss:[Epoch 485/1000] [mean loss: 0.054794] [mean PSNR: 35.460176]
[Epoch 486/1000] [Batch 0/30] [loss: 0.056805] [loss1: 0.019671] [loss2: 0.016781] [loss3: 0.0203521] [lr: 0.000003] ETA: 1 day, 4:27:49.524651
[Epoch 486/1000] [Batch 10/30] [loss: 0.047926] [loss1: 0.017709] [loss2: 0.014585] [loss3: 0.0156321] [lr: 0.000003] ETA: 5:09:21.054134
[Epoch 486/1000] [Batch 20/30] [loss: 0.041123] [loss1: 0.014749] [loss2: 0.012185] [loss3: 0.0141897] [lr: 0.000003] ETA: 5:07:37.122707 validation loss:[Epoch 486/1000] [mean loss: 0.062285] [mean PSNR: 35.332447]
[Epoch 487/1000] [Batch 0/30] [loss: 0.046779] [loss1: 0.016826] [loss2: 0.014140] [loss3: 0.0158127] [lr: 0.000003] ETA: 1 day, 2:26:53.659537
[Epoch 487/1000] [Batch 10/30] [loss: 0.050786] [loss1: 0.018241] [loss2: 0.015731] [loss3: 0.0168140] [lr: 0.000003] ETA: 5:08:34.894457
[Epoch 487/1000] [Batch 20/30] [loss: 0.040921] [loss1: 0.015004] [loss2: 0.012165] [loss3: 0.0137520] [lr: 0.000003] ETA: 5:08:17.905433 validation loss:[Epoch 487/1000] [mean loss: 0.051717] [mean PSNR: 36.120065]
[Epoch 488/1000] [Batch 0/30] [loss: 0.051744] [loss1: 0.017905] [loss2: 0.016171] [loss3: 0.0176682] [lr: 0.000003] ETA: 1 day, 3:16:47.761230
[Epoch 488/1000] [Batch 10/30] [loss: 0.048630] [loss1: 0.017880] [loss2: 0.015198] [loss3: 0.0155518] [lr: 0.000003] ETA: 5:08:16.639037
[Epoch 488/1000] [Batch 20/30] [loss: 0.034512] [loss1: 0.012439] [loss2: 0.009961] [loss3: 0.0121116] [lr: 0.000003] ETA: 5:07:29.712706 validation loss:[Epoch 488/1000] [mean loss: 0.050819] [mean PSNR: 36.492920]
[Epoch 489/1000] [Batch 0/30] [loss: 0.048309] [loss1: 0.017219] [loss2: 0.014841] [loss3: 0.0162494] [lr: 0.000003] ETA: 1 day, 3:13:35.616596
[Epoch 489/1000] [Batch 10/30] [loss: 0.050657] [loss1: 0.017850] [loss2: 0.015043] [loss3: 0.0177638] [lr: 0.000003] ETA: 5:06:47.442942
[Epoch 489/1000] [Batch 20/30] [loss: 0.043756] [loss1: 0.015206] [loss2: 0.013290] [loss3: 0.0152603] [lr: 0.000003] ETA: 5:06:36.329236 validation loss:[Epoch 489/1000] [mean loss: 0.057943] [mean PSNR: 35.560738]
[Epoch 490/1000] [Batch 0/30] [loss: 0.054599] [loss1: 0.019997] [loss2: 0.016816] [loss3: 0.0177865] [lr: 0.000003] ETA: 1 day, 3:53:58.463759
[Epoch 490/1000] [Batch 10/30] [loss: 0.048051] [loss1: 0.017606] [loss2: 0.014407] [loss3: 0.0160380] [lr: 0.000003] ETA: 5:06:46.557112
[Epoch 490/1000] [Batch 20/30] [loss: 0.038859] [loss1: 0.014085] [loss2: 0.011812] [loss3: 0.0129622] [lr: 0.000003] ETA: 5:06:35.626297 validation loss:[Epoch 490/1000] [mean loss: 0.046091] [mean PSNR: 36.302480]
[Epoch 491/1000] [Batch 0/30] [loss: 0.047316] [loss1: 0.016438] [loss2: 0.014647] [loss3: 0.0162302] [lr: 0.000003] ETA: 1 day, 6:26:22.815313
[Epoch 491/1000] [Batch 10/30] [loss: 0.051683] [loss1: 0.018798] [loss2: 0.015872] [loss3: 0.0170121] [lr: 0.000003] ETA: 5:05:25.382276
[Epoch 491/1000] [Batch 20/30] [loss: 0.053456] [loss1: 0.019350] [loss2: 0.016474] [loss3: 0.0176320] [lr: 0.000003] ETA: 5:06:28.887167 validation loss:[Epoch 491/1000] [mean loss: 0.056360] [mean PSNR: 35.854516]
[Epoch 492/1000] [Batch 0/30] [loss: 0.034724] [loss1: 0.013095] [loss2: 0.010257] [loss3: 0.0113722] [lr: 0.000003] ETA: 1 day, 4:25:16.403704
[Epoch 492/1000] [Batch 10/30] [loss: 0.045275] [loss1: 0.016657] [loss2: 0.014018] [loss3: 0.0145999] [lr: 0.000003] ETA: 5:04:28.876479
[Epoch 492/1000] [Batch 20/30] [loss: 0.037171] [loss1: 0.013751] [loss2: 0.011084] [loss3: 0.0123363] [lr: 0.000003] ETA: 5:04:22.654467 validation loss:[Epoch 492/1000] [mean loss: 0.053482] [mean PSNR: 36.227080]
[Epoch 493/1000] [Batch 0/30] [loss: 0.052610] [loss1: 0.018521] [loss2: 0.015682] [loss3: 0.0184076] [lr: 0.000001] ETA: 1 day, 2:46:50.612476
[Epoch 493/1000] [Batch 10/30] [loss: 0.044700] [loss1: 0.015225] [loss2: 0.013299] [loss3: 0.0161764] [lr: 0.000001] ETA: 5:03:46.505089
[Epoch 493/1000] [Batch 20/30] [loss: 0.041711] [loss1: 0.015550] [loss2: 0.012541] [loss3: 0.0136202] [lr: 0.000001] ETA: 5:04:43.309467 validation loss:[Epoch 493/1000] [mean loss: 0.056330] [mean PSNR: 36.413379]
[Epoch 494/1000] [Batch 0/30] [loss: 0.051617] [loss1: 0.018565] [loss2: 0.016072] [loss3: 0.0169805] [lr: 0.000001] ETA: 1 day, 3:30:25.802965
[Epoch 494/1000] [Batch 10/30] [loss: 0.049643] [loss1: 0.018217] [loss2: 0.015056] [loss3: 0.0163694] [lr: 0.000001] ETA: 5:03:39.093671
[Epoch 494/1000] [Batch 20/30] [loss: 0.035809] [loss1: 0.013452] [loss2: 0.010659] [loss3: 0.0116975] [lr: 0.000001] ETA: 5:03:25.847588 validation loss:[Epoch 494/1000] [mean loss: 0.058628] [mean PSNR: 35.756990]
[Epoch 495/1000] [Batch 0/30] [loss: 0.045591] [loss1: 0.015896] [loss2: 0.013632] [loss3: 0.0160628] [lr: 0.000001] ETA: 1 day, 3:39:23.550103
[Epoch 495/1000] [Batch 10/30] [loss: 0.048154] [loss1: 0.015547] [loss2: 0.014662] [loss3: 0.0179451] [lr: 0.000001] ETA: 5:03:20.278277
[Epoch 495/1000] [Batch 20/30] [loss: 0.048061] [loss1: 0.017697] [loss2: 0.014786] [loss3: 0.0155784] [lr: 0.000001] ETA: 5:03:50.115755 validation loss:[Epoch 495/1000] [mean loss: 0.058916] [mean PSNR: 35.335603]
[Epoch 496/1000] [Batch 0/30] [loss: 0.040460] [loss1: 0.014985] [loss2: 0.012237] [loss3: 0.0132377] [lr: 0.000001] ETA: 1 day, 2:34:21.999893
[Epoch 496/1000] [Batch 10/30] [loss: 0.052757] [loss1: 0.017009] [loss2: 0.015508] [loss3: 0.0202398] [lr: 0.000001] ETA: 5:02:47.409739
[Epoch 496/1000] [Batch 20/30] [loss: 0.050981] [loss1: 0.018317] [loss2: 0.015467] [loss3: 0.0171961] [lr: 0.000001] ETA: 5:02:26.389604 validation loss:[Epoch 496/1000] [mean loss: 0.054828] [mean PSNR: 35.780581]
[Epoch 497/1000] [Batch 0/30] [loss: 0.040996] [loss1: 0.015338] [loss2: 0.012344] [loss3: 0.0133147] [lr: 0.000001] ETA: 1 day, 3:21:45.111272
[Epoch 497/1000] [Batch 10/30] [loss: 0.040787] [loss1: 0.014477] [loss2: 0.012464] [loss3: 0.0138452] [lr: 0.000001] ETA: 5:01:48.721075
[Epoch 497/1000] [Batch 20/30] [loss: 0.045890] [loss1: 0.016716] [loss2: 0.013968] [loss3: 0.0152063] [lr: 0.000001] ETA: 5:02:09.009829 validation loss:[Epoch 497/1000] [mean loss: 0.057540] [mean PSNR: 35.851392]
[Epoch 498/1000] [Batch 0/30] [loss: 0.046275] [loss1: 0.015766] [loss2: 0.014151] [loss3: 0.0163579] [lr: 0.000001] ETA: 1 day, 2:00:11.474705
[Epoch 498/1000] [Batch 10/30] [loss: 0.050236] [loss1: 0.018331] [loss2: 0.015715] [loss3: 0.0161909] [lr: 0.000001] ETA: 5:01:43.277993
[Epoch 498/1000] [Batch 20/30] [loss: 0.049079] [loss1: 0.016194] [loss2: 0.014679] [loss3: 0.0182063] [lr: 0.000001] ETA: 5:01:27.437515 validation loss:[Epoch 498/1000] [mean loss: 0.055315] [mean PSNR: 35.564498]
[Epoch 499/1000] [Batch 0/30] [loss: 0.055374] [loss1: 0.018749] [loss2: 0.016752] [loss3: 0.0198728] [lr: 0.000001] ETA: 1 day, 1:38:52.051134
[Epoch 499/1000] [Batch 10/30] [loss: 0.056120] [loss1: 0.017479] [loss2: 0.016691] [loss3: 0.0219497] [lr: 0.000001] ETA: 5:01:27.242007
[Epoch 499/1000] [Batch 20/30] [loss: 0.054871] [loss1: 0.018473] [loss2: 0.016655] [loss3: 0.0197436] [lr: 0.000001] ETA: 5:01:24.228868 validation loss:[Epoch 499/1000] [mean loss: 0.055386] [mean PSNR: 35.647979]
[Epoch 500/1000] [Batch 0/30] [loss: 0.041243] [loss1: 0.014915] [loss2: 0.012580] [loss3: 0.0137486] [lr: 0.000001] ETA: 1 day, 2:37:53.018503
[Epoch 500/1000] [Batch 10/30] [loss: 0.044312] [loss1: 0.015772] [loss2: 0.013517] [loss3: 0.0150220] [lr: 0.000001] ETA: 4:59:52.235780
[Epoch 500/1000] [Batch 20/30] [loss: 0.050722] [loss1: 0.017728] [loss2: 0.015727] [loss3: 0.0172675] [lr: 0.000001] ETA: 5:00:03.562059 validation loss:[Epoch 500/1000] [mean loss: 0.060576] [mean PSNR: 35.201230]
[Epoch 501/1000] [Batch 0/30] [loss: 0.042436] [loss1: 0.016050] [loss2: 0.013051] [loss3: 0.0133348] [lr: 0.000001] ETA: 1 day, 2:36:16.643085
[Epoch 501/1000] [Batch 10/30] [loss: 0.057315] [loss1: 0.020474] [loss2: 0.017057] [loss3: 0.0197838] [lr: 0.000001] ETA: 5:00:25.928574
[Epoch 501/1000] [Batch 20/30] [loss: 0.050243] [loss1: 0.017554] [loss2: 0.015346] [loss3: 0.0173422] [lr: 0.000001] ETA: 5:00:24.750447 validation loss:[Epoch 501/1000] [mean loss: 0.053920] [mean PSNR: 35.858232]
[Epoch 502/1000] [Batch 0/30] [loss: 0.039353] [loss1: 0.014870] [loss2: 0.011812] [loss3: 0.0126705] [lr: 0.000001] ETA: 1 day, 2:12:35.946150
[Epoch 502/1000] [Batch 10/30] [loss: 0.046559] [loss1: 0.016305] [loss2: 0.013777] [loss3: 0.0164759] [lr: 0.000001] ETA: 4:58:32.078044
[Epoch 502/1000] [Batch 20/30] [loss: 0.043852] [loss1: 0.015700] [loss2: 0.013338] [loss3: 0.0148151] [lr: 0.000001] ETA: 4:58:40.495472 validation loss:[Epoch 502/1000] [mean loss: 0.059103] [mean PSNR: 36.156979]
[Epoch 503/1000] [Batch 0/30] [loss: 0.037707] [loss1: 0.014302] [loss2: 0.011312] [loss3: 0.0120936] [lr: 0.000001] ETA: 1 day, 2:11:47.872939
[Epoch 503/1000] [Batch 10/30] [loss: 0.044848] [loss1: 0.014140] [loss2: 0.011211] [loss3: 0.0194967] [lr: 0.000001] ETA: 4:58:47.582049
[Epoch 503/1000] [Batch 20/30] [loss: 0.040682] [loss1: 0.015248] [loss2: 0.012259] [loss3: 0.0131754] [lr: 0.000001] ETA: 4:58:12.066517 validation loss:[Epoch 503/1000] [mean loss: 0.052043] [mean PSNR: 36.030430]
[Epoch 504/1000] [Batch 0/30] [loss: 0.033614] [loss1: 0.012259] [loss2: 0.009878] [loss3: 0.0114761] [lr: 0.000001] ETA: 1 day, 3:36:07.110558
[Epoch 504/1000] [Batch 10/30] [loss: 0.050929] [loss1: 0.017601] [loss2: 0.015673] [loss3: 0.0176560] [lr: 0.000001] ETA: 4:57:50.260630
[Epoch 504/1000] [Batch 20/30] [loss: 0.047878] [loss1: 0.016949] [loss2: 0.014500] [loss3: 0.0164287] [lr: 0.000001] ETA: 4:57:08.688097 validation loss:[Epoch 504/1000] [mean loss: 0.050166] [mean PSNR: 35.943652]
[Epoch 505/1000] [Batch 0/30] [loss: 0.044317] [loss1: 0.015357] [loss2: 0.013306] [loss3: 0.0156532] [lr: 0.000001] ETA: 1 day, 2:09:10.783145
[Epoch 505/1000] [Batch 10/30] [loss: 0.053146] [loss1: 0.018623] [loss2: 0.016527] [loss3: 0.0179969] [lr: 0.000001] ETA: 4:57:02.722874
[Epoch 505/1000] [Batch 20/30] [loss: 0.041973] [loss1: 0.013945] [loss2: 0.012127] [loss3: 0.0159000] [lr: 0.000001] ETA: 4:57:22.361429 validation loss:[Epoch 505/1000] [mean loss: 0.050856] [mean PSNR: 36.056150]
[Epoch 506/1000] [Batch 0/30] [loss: 0.060237] [loss1: 0.021209] [loss2: 0.018970] [loss3: 0.0200576] [lr: 0.000001] ETA: 1 day, 2:17:31.641812
[Epoch 506/1000] [Batch 10/30] [loss: 0.045246] [loss1: 0.016436] [loss2: 0.013648] [loss3: 0.0151621] [lr: 0.000001] ETA: 4:57:13.538611
[Epoch 506/1000] [Batch 20/30] [loss: 0.043852] [loss1: 0.016161] [loss2: 0.012673] [loss3: 0.0150185] [lr: 0.000001] ETA: 4:56:21.923866 validation loss:[Epoch 506/1000] [mean loss: 0.048620] [mean PSNR: 36.231845]
[Epoch 507/1000] [Batch 0/30] [loss: 0.043929] [loss1: 0.015977] [loss2: 0.013461] [loss3: 0.0144911] [lr: 0.000001] ETA: 1 day, 2:08:55.324652
[Epoch 507/1000] [Batch 10/30] [loss: 0.045831] [loss1: 0.016855] [loss2: 0.013670] [loss3: 0.0153063] [lr: 0.000001] ETA: 4:56:26.828380
[Epoch 507/1000] [Batch 20/30] [loss: 0.038689] [loss1: 0.015061] [loss2: 0.011416] [loss3: 0.0122131] [lr: 0.000001] ETA: 4:56:18.868299 validation loss:[Epoch 507/1000] [mean loss: 0.056080] [mean PSNR: 35.625993]
[Epoch 508/1000] [Batch 0/30] [loss: 0.036973] [loss1: 0.013633] [loss2: 0.011181] [loss3: 0.0121595] [lr: 0.000001] ETA: 1 day, 3:15:52.931614
[Epoch 508/1000] [Batch 10/30] [loss: 0.041935] [loss1: 0.015784] [loss2: 0.013139] [loss3: 0.0130119] [lr: 0.000001] ETA: 4:55:09.379673
[Epoch 508/1000] [Batch 20/30] [loss: 0.055976] [loss1: 0.019300] [loss2: 0.017223] [loss3: 0.0194531] [lr: 0.000001] ETA: 4:54:25.804448 validation loss:[Epoch 508/1000] [mean loss: 0.051426] [mean PSNR: 35.772085]
[Epoch 509/1000] [Batch 0/30] [loss: 0.049889] [loss1: 0.017844] [loss2: 0.015045] [loss3: 0.0169990] [lr: 0.000001] ETA: 1 day, 2:29:59.958780
[Epoch 509/1000] [Batch 10/30] [loss: 0.034940] [loss1: 0.013071] [loss2: 0.010316] [loss3: 0.0115529] [lr: 0.000001] ETA: 4:54:20.842133
[Epoch 509/1000] [Batch 20/30] [loss: 0.048149] [loss1: 0.015378] [loss2: 0.014162] [loss3: 0.0186090] [lr: 0.000001] ETA: 4:54:56.201153 validation loss:[Epoch 509/1000] [mean loss: 0.056333] [mean PSNR: 35.683762]
[Epoch 510/1000] [Batch 0/30] [loss: 0.037426] [loss1: 0.013450] [loss2: 0.011176] [loss3: 0.0127999] [lr: 0.000001] ETA: 1 day, 2:38:56.139679
[Epoch 510/1000] [Batch 10/30] [loss: 0.045664] [loss1: 0.016508] [loss2: 0.013399] [loss3: 0.0157577] [lr: 0.000001] ETA: 4:54:14.776311
[Epoch 510/1000] [Batch 20/30] [loss: 0.044528] [loss1: 0.015993] [loss2: 0.013666] [loss3: 0.0148689] [lr: 0.000001] ETA: 4:54:26.004982 validation loss:[Epoch 510/1000] [mean loss: 0.055558] [mean PSNR: 35.486104]
[Epoch 511/1000] [Batch 0/30] [loss: 0.057409] [loss1: 0.019796] [loss2: 0.018014] [loss3: 0.0195991] [lr: 0.000001] ETA: 1 day, 3:04:57.063489
[Epoch 511/1000] [Batch 10/30] [loss: 0.037326] [loss1: 0.013219] [loss2: 0.011640] [loss3: 0.0124671] [lr: 0.000001] ETA: 4:53:33.335500
[Epoch 511/1000] [Batch 20/30] [loss: 0.046971] [loss1: 0.016422] [loss2: 0.014624] [loss3: 0.0159240] [lr: 0.000001] ETA: 4:53:20.762093 validation loss:[Epoch 511/1000] [mean loss: 0.055092] [mean PSNR: 35.885609]
[Epoch 512/1000] [Batch 0/30] [loss: 0.048401] [loss1: 0.016201] [loss2: 0.013923] [loss3: 0.0182769] [lr: 0.000001] ETA: 1 day, 2:51:21.311760
[Epoch 512/1000] [Batch 10/30] [loss: 0.038319] [loss1: 0.013509] [loss2: 0.011522] [loss3: 0.0132880] [lr: 0.000001] ETA: 4:53:01.442635
[Epoch 512/1000] [Batch 20/30] [loss: 0.030942] [loss1: 0.011639] [loss2: 0.009052] [loss3: 0.0102509] [lr: 0.000001] ETA: 4:52:29.940295 validation loss:[Epoch 512/1000] [mean loss: 0.052927] [mean PSNR: 35.764261]
[Epoch 513/1000] [Batch 0/30] [loss: 0.051399] [loss1: 0.017783] [loss2: 0.015245] [loss3: 0.0183711] [lr: 0.000001] ETA: 1 day, 2:34:50.897870
[Epoch 513/1000] [Batch 10/30] [loss: 0.044109] [loss1: 0.016085] [loss2: 0.013165] [loss3: 0.0148586] [lr: 0.000001] ETA: 4:52:59.224920
[Epoch 513/1000] [Batch 20/30] [loss: 0.045487] [loss1: 0.016400] [loss2: 0.014088] [loss3: 0.0149992] [lr: 0.000001] ETA: 4:52:24.344347 validation loss:[Epoch 513/1000] [mean loss: 0.051694] [mean PSNR: 35.967978]
[Epoch 514/1000] [Batch 0/30] [loss: 0.048401] [loss1: 0.017711] [loss2: 0.014753] [loss3: 0.0159370] [lr: 0.000001] ETA: 1 day, 1:04:33.438849
[Epoch 514/1000] [Batch 10/30] [loss: 0.048735] [loss1: 0.016859] [loss2: 0.014277] [loss3: 0.0175990] [lr: 0.000001] ETA: 4:51:24.063222
[Epoch 514/1000] [Batch 20/30] [loss: 0.039773] [loss1: 0.013489] [loss2: 0.011676] [loss3: 0.0146082] [lr: 0.000001] ETA: 4:51:10.074081 validation loss:[Epoch 514/1000] [mean loss: 0.049024] [mean PSNR: 36.000223]
[Epoch 515/1000] [Batch 0/30] [loss: 0.053164] [loss1: 0.019139] [loss2: 0.016389] [loss3: 0.0176361] [lr: 0.000001] ETA: 1 day, 1:27:31.615942
[Epoch 515/1000] [Batch 10/30] [loss: 0.043369] [loss1: 0.015780] [loss2: 0.013092] [loss3: 0.0144967] [lr: 0.000001] ETA: 4:51:10.842161
[Epoch 515/1000] [Batch 20/30] [loss: 0.050959] [loss1: 0.017955] [loss2: 0.015632] [loss3: 0.0173722] [lr: 0.000001] ETA: 4:50:39.031887 validation loss:[Epoch 515/1000] [mean loss: 0.049808] [mean PSNR: 36.804222]
[Epoch 516/1000] [Batch 0/30] [loss: 0.050101] [loss1: 0.018399] [loss2: 0.015518] [loss3: 0.0161837] [lr: 0.000001] ETA: 1 day, 1:24:02.779512
[Epoch 516/1000] [Batch 10/30] [loss: 0.039510] [loss1: 0.014488] [loss2: 0.012252] [loss3: 0.0127701] [lr: 0.000001] ETA: 4:50:27.796557
[Epoch 516/1000] [Batch 20/30] [loss: 0.043807] [loss1: 0.016120] [loss2: 0.013439] [loss3: 0.0142482] [lr: 0.000001] ETA: 4:50:29.683089 validation loss:[Epoch 516/1000] [mean loss: 0.050979] [mean PSNR: 35.907954]
[Epoch 517/1000] [Batch 0/30] [loss: 0.057725] [loss1: 0.020541] [loss2: 0.017755] [loss3: 0.0194290] [lr: 0.000001] ETA: 1 day, 2:09:50.068023
[Epoch 517/1000] [Batch 10/30] [loss: 0.043640] [loss1: 0.015491] [loss2: 0.013529] [loss3: 0.0146203] [lr: 0.000001] ETA: 4:49:31.992569
[Epoch 517/1000] [Batch 20/30] [loss: 0.048715] [loss1: 0.017048] [loss2: 0.014983] [loss3: 0.0166844] [lr: 0.000001] ETA: 4:49:52.083013 validation loss:[Epoch 517/1000] [mean loss: 0.054983] [mean PSNR: 35.810129]
[Epoch 518/1000] [Batch 0/30] [loss: 0.035660] [loss1: 0.013275] [loss2: 0.010607] [loss3: 0.0117782] [lr: 0.000001] ETA: 1 day, 1:36:37.314048
[Epoch 518/1000] [Batch 10/30] [loss: 0.048679] [loss1: 0.016746] [loss2: 0.014008] [loss3: 0.0179248] [lr: 0.000001] ETA: 4:48:39.474494
[Epoch 518/1000] [Batch 20/30] [loss: 0.036136] [loss1: 0.013395] [loss2: 0.010797] [loss3: 0.0119444] [lr: 0.000001] ETA: 4:49:06.498661 validation loss:[Epoch 518/1000] [mean loss: 0.057799] [mean PSNR: 35.430940]
[Epoch 519/1000] [Batch 0/30] [loss: 0.038790] [loss1: 0.013772] [loss2: 0.011396] [loss3: 0.0136229] [lr: 0.000001] ETA: 1 day, 0:51:31.156747
[Epoch 519/1000] [Batch 10/30] [loss: 0.043248] [loss1: 0.015340] [loss2: 0.012989] [loss3: 0.0149193] [lr: 0.000001] ETA: 4:47:51.628518
[Epoch 519/1000] [Batch 20/30] [loss: 0.046992] [loss1: 0.016405] [loss2: 0.013969] [loss3: 0.0166182] [lr: 0.000001] ETA: 4:48:34.266887 validation loss:[Epoch 519/1000] [mean loss: 0.051266] [mean PSNR: 36.447123]
[Epoch 520/1000] [Batch 0/30] [loss: 0.033702] [loss1: 0.012528] [loss2: 0.010027] [loss3: 0.0111472] [lr: 0.000001] ETA: 1 day, 1:38:43.951721
[Epoch 520/1000] [Batch 10/30] [loss: 0.041776] [loss1: 0.015501] [loss2: 0.012420] [loss3: 0.0138548] [lr: 0.000001] ETA: 4:48:29.277163
[Epoch 520/1000] [Batch 20/30] [loss: 0.037144] [loss1: 0.014499] [loss2: 0.010937] [loss3: 0.0117076] [lr: 0.000001] ETA: 4:48:00.150752 validation loss:[Epoch 520/1000] [mean loss: 0.051810] [mean PSNR: 35.847211]
[Epoch 521/1000] [Batch 0/30] [loss: 0.059171] [loss1: 0.019745] [loss2: 0.017917] [loss3: 0.0215096] [lr: 0.000001] ETA: 1 day, 0:50:00.891352
[Epoch 521/1000] [Batch 10/30] [loss: 0.043031] [loss1: 0.015182] [loss2: 0.013122] [loss3: 0.0147271] [lr: 0.000001] ETA: 4:47:08.553028
[Epoch 521/1000] [Batch 20/30] [loss: 0.038897] [loss1: 0.013918] [loss2: 0.011594] [loss3: 0.0133844] [lr: 0.000001] ETA: 4:46:56.548586 validation loss:[Epoch 521/1000] [mean loss: 0.049306] [mean PSNR: 36.237861]
[Epoch 522/1000] [Batch 0/30] [loss: 0.047331] [loss1: 0.017072] [loss2: 0.014416] [loss3: 0.0158433] [lr: 0.000001] ETA: 23:43:34.467115
[Epoch 522/1000] [Batch 10/30] [loss: 0.038831] [loss1: 0.014593] [loss2: 0.011610] [loss3: 0.0126276] [lr: 0.000001] ETA: 4:47:15.379703
[Epoch 522/1000] [Batch 20/30] [loss: 0.044810] [loss1: 0.016691] [loss2: 0.013890] [loss3: 0.0142287] [lr: 0.000001] ETA: 4:46:53.079033 validation loss:[Epoch 522/1000] [mean loss: 0.057440] [mean PSNR: 35.584906]
[Epoch 523/1000] [Batch 0/30] [loss: 0.038167] [loss1: 0.013870] [loss2: 0.011393] [loss3: 0.0129041] [lr: 0.000001] ETA: 1 day, 1:18:55.995040
[Epoch 523/1000] [Batch 10/30] [loss: 0.037924] [loss1: 0.013682] [loss2: 0.011640] [loss3: 0.0126016] [lr: 0.000001] ETA: 4:46:47.316136
[Epoch 523/1000] [Batch 20/30] [loss: 0.044512] [loss1: 0.015900] [loss2: 0.013545] [loss3: 0.0150673] [lr: 0.000001] ETA: 4:46:29.038014 validation loss:[Epoch 523/1000] [mean loss: 0.052739] [mean PSNR: 36.694650]
[Epoch 524/1000] [Batch 0/30] [loss: 0.040612] [loss1: 0.014257] [loss2: 0.012108] [loss3: 0.0142473] [lr: 0.000001] ETA: 1 day, 1:28:32.317972
[Epoch 524/1000] [Batch 10/30] [loss: 0.035138] [loss1: 0.013066] [loss2: 0.010677] [loss3: 0.0113958] [lr: 0.000001] ETA: 4:45:56.937699
[Epoch 524/1000] [Batch 20/30] [loss: 0.038829] [loss1: 0.012887] [loss2: 0.011314] [loss3: 0.0146280] [lr: 0.000001] ETA: 4:45:56.851487 validation loss:[Epoch 524/1000] [mean loss: 0.053609] [mean PSNR: 35.755186]
[Epoch 525/1000] [Batch 0/30] [loss: 0.047911] [loss1: 0.016046] [loss2: 0.014243] [loss3: 0.0176213] [lr: 0.000001] ETA: 1 day, 0:27:08.831542
[Epoch 525/1000] [Batch 10/30] [loss: 0.041964] [loss1: 0.015106] [loss2: 0.012534] [loss3: 0.0143245] [lr: 0.000001] ETA: 4:46:04.644623
[Epoch 525/1000] [Batch 20/30] [loss: 0.038443] [loss1: 0.013855] [loss2: 0.011744] [loss3: 0.0128448] [lr: 0.000001] ETA: 4:45:22.405980 validation loss:[Epoch 525/1000] [mean loss: 0.058829] [mean PSNR: 35.485216]
[Epoch 526/1000] [Batch 0/30] [loss: 0.044881] [loss1: 0.015955] [loss2: 0.013612] [loss3: 0.0153142] [lr: 0.000001] ETA: 23:53:36.166706
[Epoch 526/1000] [Batch 10/30] [loss: 0.050963] [loss1: 0.017635] [loss2: 0.015793] [loss3: 0.0175350] [lr: 0.000001] ETA: 4:44:37.267845
[Epoch 526/1000] [Batch 20/30] [loss: 0.053856] [loss1: 0.018892] [loss2: 0.017448] [loss3: 0.0175159] [lr: 0.000001] ETA: 4:44:11.812840 validation loss:[Epoch 526/1000] [mean loss: 0.056276] [mean PSNR: 35.964870]
[Epoch 527/1000] [Batch 0/30] [loss: 0.045701] [loss1: 0.015875] [loss2: 0.013818] [loss3: 0.0160083] [lr: 0.000001] ETA: 23:57:59.356821
[Epoch 527/1000] [Batch 10/30] [loss: 0.042964] [loss1: 0.015640] [loss2: 0.012763] [loss3: 0.0145612] [lr: 0.000001] ETA: 4:44:33.778129
[Epoch 527/1000] [Batch 20/30] [loss: 0.049354] [loss1: 0.016598] [loss2: 0.013954] [loss3: 0.0188016] [lr: 0.000001] ETA: 4:43:32.544627 validation loss:[Epoch 527/1000] [mean loss: 0.050208] [mean PSNR: 36.275046]
[Epoch 528/1000] [Batch 0/30] [loss: 0.046126] [loss1: 0.016309] [loss2: 0.014052] [loss3: 0.0157650] [lr: 0.000001] ETA: 1 day, 0:56:00.715828
[Epoch 528/1000] [Batch 10/30] [loss: 0.041217] [loss1: 0.015170] [loss2: 0.012335] [loss3: 0.0137119] [lr: 0.000001] ETA: 4:43:32.782168
[Epoch 528/1000] [Batch 20/30] [loss: 0.048247] [loss1: 0.016490] [loss2: 0.014047] [loss3: 0.0177096] [lr: 0.000001] ETA: 4:42:53.721666 validation loss:[Epoch 528/1000] [mean loss: 0.046973] [mean PSNR: 36.276297]
[Epoch 529/1000] [Batch 0/30] [loss: 0.044664] [loss1: 0.016352] [loss2: 0.013551] [loss3: 0.0147612] [lr: 0.000001] ETA: 1 day, 0:55:45.243509
[Epoch 529/1000] [Batch 10/30] [loss: 0.045010] [loss1: 0.016682] [loss2: 0.013572] [loss3: 0.0147562] [lr: 0.000001] ETA: 4:43:32.434282
[Epoch 529/1000] [Batch 20/30] [loss: 0.042195] [loss1: 0.014751] [loss2: 0.013111] [loss3: 0.0143336] [lr: 0.000001] ETA: 4:42:31.630116 validation loss:[Epoch 529/1000] [mean loss: 0.049263] [mean PSNR: 36.301824]
[Epoch 530/1000] [Batch 0/30] [loss: 0.034657] [loss1: 0.013224] [loss2: 0.010924] [loss3: 0.0105092] [lr: 0.000001] ETA: 23:50:49.742961
[Epoch 530/1000] [Batch 10/30] [loss: 0.039788] [loss1: 0.014571] [loss2: 0.012214] [loss3: 0.0130029] [lr: 0.000001] ETA: 4:41:34.586916
[Epoch 530/1000] [Batch 20/30] [loss: 0.047954] [loss1: 0.017136] [loss2: 0.014323] [loss3: 0.0164948] [lr: 0.000001] ETA: 4:42:19.976501 validation loss:[Epoch 530/1000] [mean loss: 0.044910] [mean PSNR: 37.225652]
[Epoch 531/1000] [Batch 0/30] [loss: 0.048264] [loss1: 0.017022] [loss2: 0.015020] [loss3: 0.0162220] [lr: 0.000001] ETA: 1 day, 0:03:38.712573
[Epoch 531/1000] [Batch 10/30] [loss: 0.059426] [loss1: 0.020739] [loss2: 0.017993] [loss3: 0.0206932] [lr: 0.000001] ETA: 4:41:32.261157
[Epoch 531/1000] [Batch 20/30] [loss: 0.038523] [loss1: 0.014024] [loss2: 0.011761] [loss3: 0.0127381] [lr: 0.000001] ETA: 4:41:28.711643 validation loss:[Epoch 531/1000] [mean loss: 0.056755] [mean PSNR: 35.346584]
[Epoch 532/1000] [Batch 0/30] [loss: 0.041172] [loss1: 0.013984] [loss2: 0.012480] [loss3: 0.0147082] [lr: 0.000001] ETA: 1 day, 0:16:31.011772
[Epoch 532/1000] [Batch 10/30] [loss: 0.039875] [loss1: 0.014382] [loss2: 0.011996] [loss3: 0.0134971] [lr: 0.000001] ETA: 4:40:41.486490
[Epoch 532/1000] [Batch 20/30] [loss: 0.037078] [loss1: 0.014416] [loss2: 0.011920] [loss3: 0.0107416] [lr: 0.000001] ETA: 4:41:20.972428 validation loss:[Epoch 532/1000] [mean loss: 0.050994] [mean PSNR: 36.220827]
[Epoch 533/1000] [Batch 0/30] [loss: 0.047329] [loss1: 0.016681] [loss2: 0.014369] [loss3: 0.0162794] [lr: 0.000001] ETA: 1 day, 0:16:11.979146
[Epoch 533/1000] [Batch 10/30] [loss: 0.045249] [loss1: 0.015244] [loss2: 0.013823] [loss3: 0.0161824] [lr: 0.000001] ETA: 4:40:11.729908
[Epoch 533/1000] [Batch 20/30] [loss: 0.057844] [loss1: 0.020906] [loss2: 0.017917] [loss3: 0.0190220] [lr: 0.000001] ETA: 4:40:26.642156 validation loss:[Epoch 533/1000] [mean loss: 0.054828] [mean PSNR: 35.755871]
[Epoch 534/1000] [Batch 0/30] [loss: 0.037130] [loss1: 0.013741] [loss2: 0.010824] [loss3: 0.0125657] [lr: 0.000001] ETA: 1 day, 0:45:43.811789
[Epoch 534/1000] [Batch 10/30] [loss: 0.043334] [loss1: 0.015978] [loss2: 0.012919] [loss3: 0.0144360] [lr: 0.000001] ETA: 4:39:15.340827
[Epoch 534/1000] [Batch 20/30] [loss: 0.039179] [loss1: 0.013903] [loss2: 0.011223] [loss3: 0.0140528] [lr: 0.000001] ETA: 4:40:10.635738 validation loss:[Epoch 534/1000] [mean loss: 0.048143] [mean PSNR: 36.315783]
[Epoch 535/1000] [Batch 0/30] [loss: 0.045204] [loss1: 0.015854] [loss2: 0.013644] [loss3: 0.0157063] [lr: 0.000001] ETA: 1 day, 0:04:51.772091
[Epoch 535/1000] [Batch 10/30] [loss: 0.037825] [loss1: 0.014333] [loss2: 0.011425] [loss3: 0.0120669] [lr: 0.000001] ETA: 4:38:51.304278
[Epoch 535/1000] [Batch 20/30] [loss: 0.039688] [loss1: 0.014884] [loss2: 0.011881] [loss3: 0.0129228] [lr: 0.000001] ETA: 4:39:06.754706 validation loss:[Epoch 535/1000] [mean loss: 0.052083] [mean PSNR: 36.398739]
[Epoch 536/1000] [Batch 0/30] [loss: 0.044774] [loss1: 0.016312] [loss2: 0.014026] [loss3: 0.0144358] [lr: 0.000001] ETA: 1 day, 0:44:52.212868
[Epoch 536/1000] [Batch 10/30] [loss: 0.043829] [loss1: 0.015242] [loss2: 0.013170] [loss3: 0.0154177] [lr: 0.000001] ETA: 4:38:49.857397
[Epoch 536/1000] [Batch 20/30] [loss: 0.045541] [loss1: 0.016663] [loss2: 0.013949] [loss3: 0.0149289] [lr: 0.000001] ETA: 4:38:38.353796 validation loss:[Epoch 536/1000] [mean loss: 0.053542] [mean PSNR: 36.001793]
[Epoch 537/1000] [Batch 0/30] [loss: 0.044483] [loss1: 0.015883] [loss2: 0.013441] [loss3: 0.0151594] [lr: 0.000001] ETA: 1 day, 0:24:42.883050
[Epoch 537/1000] [Batch 10/30] [loss: 0.043207] [loss1: 0.016434] [loss2: 0.012641] [loss3: 0.0141321] [lr: 0.000001] ETA: 4:37:26.579227
[Epoch 537/1000] [Batch 20/30] [loss: 0.054346] [loss1: 0.019341] [loss2: 0.016689] [loss3: 0.0183165] [lr: 0.000001] ETA: 4:38:07.356977 validation loss:[Epoch 537/1000] [mean loss: 0.049923] [mean PSNR: 35.646506]
[Epoch 538/1000] [Batch 0/30] [loss: 0.049709] [loss1: 0.017647] [loss2: 0.014881] [loss3: 0.0171805] [lr: 0.000001] ETA: 1 day, 0:22:53.373413
[Epoch 538/1000] [Batch 10/30] [loss: 0.047218] [loss1: 0.016961] [loss2: 0.014360] [loss3: 0.0158970] [lr: 0.000001] ETA: 4:37:15.068130
[Epoch 538/1000] [Batch 20/30] [loss: 0.038748] [loss1: 0.014457] [loss2: 0.011307] [loss3: 0.0129850] [lr: 0.000001] ETA: 4:37:04.769802 validation loss:[Epoch 538/1000] [mean loss: 0.050970] [mean PSNR: 36.125320]
[Epoch 539/1000] [Batch 0/30] [loss: 0.038861] [loss1: 0.014152] [loss2: 0.011737] [loss3: 0.0129721] [lr: 0.000001] ETA: 23:31:42.422426
[Epoch 539/1000] [Batch 10/30] [loss: 0.056904] [loss1: 0.020110] [loss2: 0.017092] [loss3: 0.0197017] [lr: 0.000001] ETA: 4:36:52.136192
[Epoch 539/1000] [Batch 20/30] [loss: 0.029482] [loss1: 0.011492] [loss2: 0.008391] [loss3: 0.0095988] [lr: 0.000001] ETA: 4:36:55.910246 validation loss:[Epoch 539/1000] [mean loss: 0.055815] [mean PSNR: 35.521306]
[Epoch 540/1000] [Batch 0/30] [loss: 0.045006] [loss1: 0.015877] [loss2: 0.013469] [loss3: 0.0156598] [lr: 0.000001] ETA: 1 day, 0:03:57.118864
[Epoch 540/1000] [Batch 10/30] [loss: 0.051622] [loss1: 0.017659] [loss2: 0.015883] [loss3: 0.0180806] [lr: 0.000001] ETA: 4:36:10.571351
[Epoch 540/1000] [Batch 20/30] [loss: 0.048586] [loss1: 0.016927] [loss2: 0.014376] [loss3: 0.0172832] [lr: 0.000001] ETA: 4:35:37.534943 validation loss:[Epoch 540/1000] [mean loss: 0.053118] [mean PSNR: 35.979590]
[Epoch 541/1000] [Batch 0/30] [loss: 0.049546] [loss1: 0.017478] [loss2: 0.015517] [loss3: 0.0165515] [lr: 0.000001] ETA: 1 day, 0:53:05.571971
[Epoch 541/1000] [Batch 10/30] [loss: 0.044550] [loss1: 0.014736] [loss2: 0.013289] [loss3: 0.0165258] [lr: 0.000001] ETA: 4:35:08.674088
[Epoch 541/1000] [Batch 20/30] [loss: 0.054802] [loss1: 0.019295] [loss2: 0.016768] [loss3: 0.0187387] [lr: 0.000001] ETA: 4:35:16.660750 validation loss:[Epoch 541/1000] [mean loss: 0.051082] [mean PSNR: 35.709636]
[Epoch 542/1000] [Batch 0/30] [loss: 0.048551] [loss1: 0.016568] [loss2: 0.015088] [loss3: 0.0168947] [lr: 0.000001] ETA: 1 day, 0:59:33.947039
[Epoch 542/1000] [Batch 10/30] [loss: 0.044900] [loss1: 0.015294] [loss2: 0.013587] [loss3: 0.0160187] [lr: 0.000001] ETA: 4:34:57.458363
[Epoch 542/1000] [Batch 20/30] [loss: 0.042433] [loss1: 0.014713] [loss2: 0.012960] [loss3: 0.0147608] [lr: 0.000001] ETA: 4:35:20.607090 validation loss:[Epoch 542/1000] [mean loss: 0.057272] [mean PSNR: 35.156555]
[Epoch 543/1000] [Batch 0/30] [loss: 0.037207] [loss1: 0.013944] [loss2: 0.011060] [loss3: 0.0122026] [lr: 0.000001] ETA: 21:43:45.165524
[Epoch 543/1000] [Batch 10/30] [loss: 0.039477] [loss1: 0.014443] [loss2: 0.011542] [loss3: 0.0134922] [lr: 0.000001] ETA: 4:34:26.212988
[Epoch 543/1000] [Batch 20/30] [loss: 0.045473] [loss1: 0.016615] [loss2: 0.014102] [loss3: 0.0147567] [lr: 0.000001] ETA: 4:34:06.921773 validation loss:[Epoch 543/1000] [mean loss: 0.053099] [mean PSNR: 36.011243]
[Epoch 544/1000] [Batch 0/30] [loss: 0.035358] [loss1: 0.012796] [loss2: 0.010850] [loss3: 0.0117123] [lr: 0.000001] ETA: 1 day, 0:49:48.217392
[Epoch 544/1000] [Batch 10/30] [loss: 0.046162] [loss1: 0.016473] [loss2: 0.013790] [loss3: 0.0158984] [lr: 0.000001] ETA: 4:34:18.914609
[Epoch 544/1000] [Batch 20/30] [loss: 0.047174] [loss1: 0.016109] [loss2: 0.013855] [loss3: 0.0172099] [lr: 0.000001] ETA: 4:33:48.229270 validation loss:[Epoch 544/1000] [mean loss: 0.057793] [mean PSNR: 36.035115]
[Epoch 545/1000] [Batch 0/30] [loss: 0.045122] [loss1: 0.016237] [loss2: 0.013795] [loss3: 0.0150902] [lr: 0.000001] ETA: 23:59:33.930252
[Epoch 545/1000] [Batch 10/30] [loss: 0.036891] [loss1: 0.013349] [loss2: 0.011250] [loss3: 0.0122923] [lr: 0.000001] ETA: 4:32:53.168125
[Epoch 545/1000] [Batch 20/30] [loss: 0.042654] [loss1: 0.015049] [loss2: 0.013038] [loss3: 0.0145677] [lr: 0.000001] ETA: 4:32:55.891728 validation loss:[Epoch 545/1000] [mean loss: 0.055521] [mean PSNR: 35.599713]
[Epoch 546/1000] [Batch 0/30] [loss: 0.039109] [loss1: 0.014523] [loss2: 0.011537] [loss3: 0.0130493] [lr: 0.000001] ETA: 23:48:42.447324
[Epoch 546/1000] [Batch 10/30] [loss: 0.046526] [loss1: 0.016486] [loss2: 0.013371] [loss3: 0.0166685] [lr: 0.000001] ETA: 4:33:10.019047
[Epoch 546/1000] [Batch 20/30] [loss: 0.046836] [loss1: 0.017237] [loss2: 0.014084] [loss3: 0.0155148] [lr: 0.000001] ETA: 4:32:29.046898 validation loss:[Epoch 546/1000] [mean loss: 0.050030] [mean PSNR: 36.194425]
[Epoch 547/1000] [Batch 0/30] [loss: 0.043170] [loss1: 0.015338] [loss2: 0.013228] [loss3: 0.0146041] [lr: 0.000001] ETA: 22:44:05.892162
[Epoch 547/1000] [Batch 10/30] [loss: 0.042656] [loss1: 0.015133] [loss2: 0.013261] [loss3: 0.0142622] [lr: 0.000001] ETA: 4:31:43.712907
[Epoch 547/1000] [Batch 20/30] [loss: 0.057723] [loss1: 0.020415] [loss2: 0.018037] [loss3: 0.0192706] [lr: 0.000001] ETA: 4:31:58.347018 validation loss:[Epoch 547/1000] [mean loss: 0.052980] [mean PSNR: 36.078961]
[Epoch 548/1000] [Batch 0/30] [loss: 0.046229] [loss1: 0.014810] [loss2: 0.013187] [loss3: 0.0182319] [lr: 0.000001] ETA: 1 day, 0:10:59.106445
[Epoch 548/1000] [Batch 10/30] [loss: 0.043385] [loss1: 0.014874] [loss2: 0.013073] [loss3: 0.0154384] [lr: 0.000001] ETA: 4:31:02.323427
[Epoch 548/1000] [Batch 20/30] [loss: 0.048693] [loss1: 0.017049] [loss2: 0.014756] [loss3: 0.0168873] [lr: 0.000001] ETA: 4:30:54.970303 validation loss:[Epoch 548/1000] [mean loss: 0.048831] [mean PSNR: 35.802427]
[Epoch 549/1000] [Batch 0/30] [loss: 0.055033] [loss1: 0.018163] [loss2: 0.016513] [loss3: 0.0203566] [lr: 0.000001] ETA: 23:32:00.696623
[Epoch 549/1000] [Batch 10/30] [loss: 0.045668] [loss1: 0.016436] [loss2: 0.013557] [loss3: 0.0156753] [lr: 0.000001] ETA: 4:31:08.038998
[Epoch 549/1000] [Batch 20/30] [loss: 0.044170] [loss1: 0.016696] [loss2: 0.012912] [loss3: 0.0145612] [lr: 0.000001] ETA: 4:30:26.430881 validation loss:[Epoch 549/1000] [mean loss: 0.058208] [mean PSNR: 35.947011]
[Epoch 550/1000] [Batch 0/30] [loss: 0.064153] [loss1: 0.022032] [loss2: 0.019573] [loss3: 0.0225484] [lr: 0.000001] ETA: 23:27:54.517465
[Epoch 550/1000] [Batch 10/30] [loss: 0.040375] [loss1: 0.014550] [loss2: 0.012323] [loss3: 0.0135017] [lr: 0.000001] ETA: 4:30:42.140059
[Epoch 550/1000] [Batch 20/30] [loss: 0.045936] [loss1: 0.015323] [loss2: 0.013224] [loss3: 0.0173886] [lr: 0.000001] ETA: 4:29:50.549889 validation loss:[Epoch 550/1000] [mean loss: 0.053582] [mean PSNR: 35.791910]
[Epoch 551/1000] [Batch 0/30] [loss: 0.042525] [loss1: 0.015999] [loss2: 0.012811] [loss3: 0.0137152] [lr: 0.000001] ETA: 23:24:33.471808
[Epoch 551/1000] [Batch 10/30] [loss: 0.042650] [loss1: 0.015824] [loss2: 0.012811] [loss3: 0.0140154] [lr: 0.000001] ETA: 4:29:24.304385
[Epoch 551/1000] [Batch 20/30] [loss: 0.033121] [loss1: 0.012052] [loss2: 0.010074] [loss3: 0.0109959] [lr: 0.000001] ETA: 4:29:31.516383 validation loss:[Epoch 551/1000] [mean loss: 0.065652] [mean PSNR: 34.798633]
[Epoch 552/1000] [Batch 0/30] [loss: 0.045428] [loss1: 0.015392] [loss2: 0.012684] [loss3: 0.0173510] [lr: 0.000001] ETA: 23:32:42.864990
[Epoch 552/1000] [Batch 10/30] [loss: 0.039982] [loss1: 0.013872] [loss2: 0.012402] [loss3: 0.0137080] [lr: 0.000001] ETA: 4:29:05.500312
[Epoch 552/1000] [Batch 20/30] [loss: 0.051236] [loss1: 0.016960] [loss2: 0.015010] [loss3: 0.0192660] [lr: 0.000001] ETA: 4:28:32.204356 validation loss:[Epoch 552/1000] [mean loss: 0.053090] [mean PSNR: 35.789551]
[Epoch 553/1000] [Batch 0/30] [loss: 0.034586] [loss1: 0.012754] [loss2: 0.010255] [loss3: 0.0115764] [lr: 0.000001] ETA: 22:46:32.785549
[Epoch 553/1000] [Batch 10/30] [loss: 0.037952] [loss1: 0.013802] [loss2: 0.011188] [loss3: 0.0129621] [lr: 0.000001] ETA: 4:28:43.747158
[Epoch 553/1000] [Batch 20/30] [loss: 0.048477] [loss1: 0.016385] [loss2: 0.013968] [loss3: 0.0181241] [lr: 0.000001] ETA: 4:28:14.523304 validation loss:[Epoch 553/1000] [mean loss: 0.063738] [mean PSNR: 35.374606]
[Epoch 554/1000] [Batch 0/30] [loss: 0.035898] [loss1: 0.013563] [loss2: 0.010677] [loss3: 0.0116578] [lr: 0.000001] ETA: 23:24:22.223368
[Epoch 554/1000] [Batch 10/30] [loss: 0.046925] [loss1: 0.018371] [loss2: 0.014797] [loss3: 0.0137577] [lr: 0.000001] ETA: 4:27:45.867960
[Epoch 554/1000] [Batch 20/30] [loss: 0.048196] [loss1: 0.017728] [loss2: 0.014892] [loss3: 0.0155764] [lr: 0.000001] ETA: 4:27:31.739769 validation loss:[Epoch 554/1000] [mean loss: 0.051656] [mean PSNR: 35.500494]
[Epoch 555/1000] [Batch 0/30] [loss: 0.053515] [loss1: 0.018350] [loss2: 0.016710] [loss3: 0.0184558] [lr: 0.000001] ETA: 23:50:44.489050
[Epoch 555/1000] [Batch 10/30] [loss: 0.041781] [loss1: 0.015266] [loss2: 0.012183] [loss3: 0.0143319] [lr: 0.000001] ETA: 4:26:47.797084
[Epoch 555/1000] [Batch 20/30] [loss: 0.045046] [loss1: 0.016536] [loss2: 0.013753] [loss3: 0.0147563] [lr: 0.000001] ETA: 4:26:51.303282 validation loss:[Epoch 555/1000] [mean loss: 0.051671] [mean PSNR: 35.799492]
[Epoch 556/1000] [Batch 0/30] [loss: 0.040145] [loss1: 0.014977] [loss2: 0.011883] [loss3: 0.0132851] [lr: 0.000001] ETA: 22:57:45.312166
[Epoch 556/1000] [Batch 10/30] [loss: 0.045409] [loss1: 0.016756] [loss2: 0.013665] [loss3: 0.0149873] [lr: 0.000001] ETA: 4:26:16.246579
[Epoch 556/1000] [Batch 20/30] [loss: 0.041136] [loss1: 0.014912] [loss2: 0.012063] [loss3: 0.0141614] [lr: 0.000001] ETA: 4:26:18.858376 validation loss:[Epoch 556/1000] [mean loss: 0.050175] [mean PSNR: 36.036611]
[Epoch 557/1000] [Batch 0/30] [loss: 0.038896] [loss1: 0.014323] [loss2: 0.011797] [loss3: 0.0127750] [lr: 0.000001] ETA: 1 day, 0:40:05.569210
[Epoch 557/1000] [Batch 10/30] [loss: 0.039048] [loss1: 0.014286] [loss2: 0.011282] [loss3: 0.0134793] [lr: 0.000001] ETA: 4:24:49.948273
[Epoch 557/1000] [Batch 20/30] [loss: 0.051677] [loss1: 0.018537] [loss2: 0.015626] [loss3: 0.0175137] [lr: 0.000001] ETA: 4:25:56.372783 validation loss:[Epoch 557/1000] [mean loss: 0.055949] [mean PSNR: 35.787671]
[Epoch 558/1000] [Batch 0/30] [loss: 0.041860] [loss1: 0.015361] [loss2: 0.012716] [loss3: 0.0137833] [lr: 0.000001] ETA: 23:40:45.367770
[Epoch 558/1000] [Batch 10/30] [loss: 0.044063] [loss1: 0.016057] [loss2: 0.013210] [loss3: 0.0147952] [lr: 0.000001] ETA: 4:25:09.929514
[Epoch 558/1000] [Batch 20/30] [loss: 0.041836] [loss1: 0.014885] [loss2: 0.012421] [loss3: 0.0145307] [lr: 0.000001] ETA: 4:25:18.607626 validation loss:[Epoch 558/1000] [mean loss: 0.053683] [mean PSNR: 35.865877]
[Epoch 559/1000] [Batch 0/30] [loss: 0.049781] [loss1: 0.017849] [loss2: 0.014889] [loss3: 0.0170431] [lr: 0.000001] ETA: 1 day, 0:56:49.446065
[Epoch 559/1000] [Batch 10/30] [loss: 0.031609] [loss1: 0.011758] [loss2: 0.009456] [loss3: 0.0103951] [lr: 0.000001] ETA: 4:24:24.218111
[Epoch 559/1000] [Batch 20/30] [loss: 0.041857] [loss1: 0.014900] [loss2: 0.012983] [loss3: 0.0139742] [lr: 0.000001] ETA: 4:24:16.098142 validation loss:[Epoch 559/1000] [mean loss: 0.050727] [mean PSNR: 36.155368]
[Epoch 560/1000] [Batch 0/30] [loss: 0.039813] [loss1: 0.014743] [loss2: 0.011809] [loss3: 0.0132608] [lr: 0.000001] ETA: 23:58:57.478638
[Epoch 560/1000] [Batch 10/30] [loss: 0.046716] [loss1: 0.016073] [loss2: 0.014332] [loss3: 0.0163109] [lr: 0.000001] ETA: 4:24:30.275383
[Epoch 560/1000] [Batch 20/30] [loss: 0.046558] [loss1: 0.016101] [loss2: 0.013999] [loss3: 0.0164583] [lr: 0.000001] ETA: 4:23:48.934569 validation loss:[Epoch 560/1000] [mean loss: 0.059197] [mean PSNR: 35.522268]
[Epoch 561/1000] [Batch 0/30] [loss: 0.043055] [loss1: 0.015770] [loss2: 0.012996] [loss3: 0.0142898] [lr: 0.000001] ETA: 23:28:39.200585
[Epoch 561/1000] [Batch 10/30] [loss: 0.047954] [loss1: 0.016998] [loss2: 0.013965] [loss3: 0.0169908] [lr: 0.000001] ETA: 4:23:47.982492
[Epoch 561/1000] [Batch 20/30] [loss: 0.046781] [loss1: 0.016729] [loss2: 0.014673] [loss3: 0.0153787] [lr: 0.000001] ETA: 4:23:11.121197 validation loss:[Epoch 561/1000] [mean loss: 0.048247] [mean PSNR: 36.668530]
[Epoch 562/1000] [Batch 0/30] [loss: 0.062129] [loss1: 0.021541] [loss2: 0.019115] [loss3: 0.0214734] [lr: 0.000001] ETA: 1 day, 0:12:36.349854
[Epoch 562/1000] [Batch 10/30] [loss: 0.042049] [loss1: 0.015187] [loss2: 0.012813] [loss3: 0.0140494] [lr: 0.000001] ETA: 4:22:44.884803
[Epoch 562/1000] [Batch 20/30] [loss: 0.040888] [loss1: 0.014859] [loss2: 0.012570] [loss3: 0.0134592] [lr: 0.000001] ETA: 4:22:35.783997 validation loss:[Epoch 562/1000] [mean loss: 0.049334] [mean PSNR: 36.040216]
[Epoch 563/1000] [Batch 0/30] [loss: 0.038000] [loss1: 0.014176] [loss2: 0.011445] [loss3: 0.0123788] [lr: 0.000001] ETA: 23:42:47.238765
[Epoch 563/1000] [Batch 10/30] [loss: 0.049280] [loss1: 0.016708] [loss2: 0.015291] [loss3: 0.0172815] [lr: 0.000001] ETA: 4:29:15.245781
[Epoch 563/1000] [Batch 20/30] [loss: 0.037636] [loss1: 0.014640] [loss2: 0.010978] [loss3: 0.0120182] [lr: 0.000001] ETA: 4:21:59.688392 validation loss:[Epoch 563/1000] [mean loss: 0.055814] [mean PSNR: 36.019186]
[Epoch 564/1000] [Batch 0/30] [loss: 0.039748] [loss1: 0.014999] [loss2: 0.011519] [loss3: 0.0132305] [lr: 0.000001] ETA: 23:35:11.145115
[Epoch 564/1000] [Batch 10/30] [loss: 0.040350] [loss1: 0.014440] [loss2: 0.012125] [loss3: 0.0137848] [lr: 0.000001] ETA: 4:21:20.940583
[Epoch 564/1000] [Batch 20/30] [loss: 0.036231] [loss1: 0.013284] [loss2: 0.011235] [loss3: 0.0117115] [lr: 0.000001] ETA: 4:20:52.178512 validation loss:[Epoch 564/1000] [mean loss: 0.051399] [mean PSNR: 36.002284]
[Epoch 565/1000] [Batch 0/30] [loss: 0.039282] [loss1: 0.014095] [loss2: 0.011674] [loss3: 0.0135128] [lr: 0.000001] ETA: 1 day, 0:51:20.503643
[Epoch 565/1000] [Batch 10/30] [loss: 0.042174] [loss1: 0.014766] [loss2: 0.012626] [loss3: 0.0147823] [lr: 0.000001] ETA: 4:20:56.167908
[Epoch 565/1000] [Batch 20/30] [loss: 0.041150] [loss1: 0.015101] [loss2: 0.012207] [loss3: 0.0138414] [lr: 0.000001] ETA: 4:20:53.624330 validation loss:[Epoch 565/1000] [mean loss: 0.055037] [mean PSNR: 35.644322]
[Epoch 566/1000] [Batch 0/30] [loss: 0.042252] [loss1: 0.015081] [loss2: 0.012595] [loss3: 0.0145766] [lr: 0.000001] ETA: 1 day, 0:22:54.871945
[Epoch 566/1000] [Batch 10/30] [loss: 0.049323] [loss1: 0.016531] [loss2: 0.014788] [loss3: 0.0180027] [lr: 0.000001] ETA: 4:20:22.813585
[Epoch 566/1000] [Batch 20/30] [loss: 0.040523] [loss1: 0.014999] [loss2: 0.011789] [loss3: 0.0137357] [lr: 0.000001] ETA: 4:20:59.512997 validation loss:[Epoch 566/1000] [mean loss: 0.057834] [mean PSNR: 35.647509]
[Epoch 567/1000] [Batch 0/30] [loss: 0.052599] [loss1: 0.016792] [loss2: 0.015168] [loss3: 0.0206402] [lr: 0.000001] ETA: 1 day, 1:13:14.032989
[Epoch 567/1000] [Batch 10/30] [loss: 0.040688] [loss1: 0.014932] [loss2: 0.011932] [loss3: 0.0138241] [lr: 0.000001] ETA: 4:19:59.458241
[Epoch 567/1000] [Batch 20/30] [loss: 0.033490] [loss1: 0.012297] [loss2: 0.009950] [loss3: 0.0112439] [lr: 0.000001] ETA: 4:19:15.833883 validation loss:[Epoch 567/1000] [mean loss: 0.054497] [mean PSNR: 35.955743]
[Epoch 568/1000] [Batch 0/30] [loss: 0.042051] [loss1: 0.014564] [loss2: 0.012947] [loss3: 0.0145396] [lr: 0.000001] ETA: 23:23:17.075043
[Epoch 568/1000] [Batch 10/30] [loss: 0.048107] [loss1: 0.016715] [loss2: 0.014798] [loss3: 0.0165934] [lr: 0.000001] ETA: 4:19:06.746850
[Epoch 568/1000] [Batch 20/30] [loss: 0.045126] [loss1: 0.016268] [loss2: 0.013640] [loss3: 0.0152186] [lr: 0.000001] ETA: 4:19:00.594144 validation loss:[Epoch 568/1000] [mean loss: 0.054518] [mean PSNR: 35.433517]
[Epoch 569/1000] [Batch 0/30] [loss: 0.033080] [loss1: 0.012057] [loss2: 0.009925] [loss3: 0.0110970] [lr: 0.000001] ETA: 23:56:30.321186
[Epoch 569/1000] [Batch 10/30] [loss: 0.053176] [loss1: 0.018741] [loss2: 0.016075] [loss3: 0.0183602] [lr: 0.000001] ETA: 4:18:30.604925
[Epoch 569/1000] [Batch 20/30] [loss: 0.045186] [loss1: 0.016340] [loss2: 0.014166] [loss3: 0.0146799] [lr: 0.000001] ETA: 4:18:46.809535 validation loss:[Epoch 569/1000] [mean loss: 0.049713] [mean PSNR: 36.020253]
[Epoch 570/1000] [Batch 0/30] [loss: 0.053306] [loss1: 0.017163] [loss2: 0.015584] [loss3: 0.0205594] [lr: 0.000001] ETA: 23:38:26.686950
[Epoch 570/1000] [Batch 10/30] [loss: 0.050073] [loss1: 0.017765] [loss2: 0.015947] [loss3: 0.0163604] [lr: 0.000001] ETA: 4:17:52.078772
[Epoch 570/1000] [Batch 20/30] [loss: 0.041271] [loss1: 0.015242] [loss2: 0.012691] [loss3: 0.0133380] [lr: 0.000001] ETA: 4:17:38.887196 validation loss:[Epoch 570/1000] [mean loss: 0.045906] [mean PSNR: 36.149599]
[Epoch 571/1000] [Batch 0/30] [loss: 0.037501] [loss1: 0.014190] [loss2: 0.011629] [loss3: 0.0116820] [lr: 0.000001] ETA: 1 day, 1:08:07.618582
[Epoch 571/1000] [Batch 10/30] [loss: 0.053289] [loss1: 0.018172] [loss2: 0.016794] [loss3: 0.0183232] [lr: 0.000001] ETA: 4:17:21.070027
[Epoch 571/1000] [Batch 20/30] [loss: 0.043948] [loss1: 0.015867] [loss2: 0.013511] [loss3: 0.0145691] [lr: 0.000001] ETA: 4:17:13.860695 validation loss:[Epoch 571/1000] [mean loss: 0.053412] [mean PSNR: 35.841794]
[Epoch 572/1000] [Batch 0/30] [loss: 0.043899] [loss1: 0.015771] [loss2: 0.013274] [loss3: 0.0148539] [lr: 0.000001] ETA: 22:39:31.750660
[Epoch 572/1000] [Batch 10/30] [loss: 0.040593] [loss1: 0.015873] [loss2: 0.012652] [loss3: 0.0120687] [lr: 0.000001] ETA: 4:17:03.754106
[Epoch 572/1000] [Batch 20/30] [loss: 0.045223] [loss1: 0.016530] [loss2: 0.013687] [loss3: 0.0150061] [lr: 0.000001] ETA: 4:16:54.743152 validation loss:[Epoch 572/1000] [mean loss: 0.060394] [mean PSNR: 35.697717]
[Epoch 573/1000] [Batch 0/30] [loss: 0.052412] [loss1: 0.017417] [loss2: 0.016002] [loss3: 0.0189932] [lr: 0.000001] ETA: 22:26:03.385885
[Epoch 573/1000] [Batch 10/30] [loss: 0.040928] [loss1: 0.014607] [loss2: 0.012569] [loss3: 0.0137524] [lr: 0.000001] ETA: 4:16:21.982422
[Epoch 573/1000] [Batch 20/30] [loss: 0.045523] [loss1: 0.016778] [loss2: 0.013875] [loss3: 0.0148693] [lr: 0.000001] ETA: 4:16:22.440236 validation loss:[Epoch 573/1000] [mean loss: 0.056820] [mean PSNR: 35.148762]
[Epoch 574/1000] [Batch 0/30] [loss: 0.053101] [loss1: 0.019520] [loss2: 0.016230] [loss3: 0.0173503] [lr: 0.000001] ETA: 23:24:51.635571
[Epoch 574/1000] [Batch 10/30] [loss: 0.046229] [loss1: 0.015810] [loss2: 0.014169] [loss3: 0.0162505] [lr: 0.000001] ETA: 4:15:42.082520
[Epoch 574/1000] [Batch 20/30] [loss: 0.045139] [loss1: 0.016833] [loss2: 0.013804] [loss3: 0.0145026] [lr: 0.000001] ETA: 4:15:01.225061 validation loss:[Epoch 574/1000] [mean loss: 0.058415] [mean PSNR: 35.265363]
[Epoch 575/1000] [Batch 0/30] [loss: 0.059077] [loss1: 0.019823] [loss2: 0.018537] [loss3: 0.0207171] [lr: 0.000001] ETA: 22:26:55.787137
[Epoch 575/1000] [Batch 10/30] [loss: 0.059426] [loss1: 0.019685] [loss2: 0.018750] [loss3: 0.0209915] [lr: 0.000001] ETA: 4:15:31.645765
[Epoch 575/1000] [Batch 20/30] [loss: 0.045461] [loss1: 0.016401] [loss2: 0.013950] [loss3: 0.0151099] [lr: 0.000001] ETA: 4:14:49.373119 validation loss:[Epoch 575/1000] [mean loss: 0.039855] [mean PSNR: 37.154722]
[Epoch 576/1000] [Batch 0/30] [loss: 0.037170] [loss1: 0.013995] [loss2: 0.010827] [loss3: 0.0123471] [lr: 0.000001] ETA: 22:42:15.558414
[Epoch 576/1000] [Batch 10/30] [loss: 0.037523] [loss1: 0.013821] [loss2: 0.011431] [loss3: 0.0122711] [lr: 0.000001] ETA: 4:14:23.367262
[Epoch 576/1000] [Batch 20/30] [loss: 0.037056] [loss1: 0.013819] [loss2: 0.011123] [loss3: 0.0121140] [lr: 0.000001] ETA: 4:14:32.411418 validation loss:[Epoch 576/1000] [mean loss: 0.054624] [mean PSNR: 35.424854]
[Epoch 577/1000] [Batch 0/30] [loss: 0.041725] [loss1: 0.015587] [loss2: 0.012506] [loss3: 0.0136325] [lr: 0.000001] ETA: 23:54:12.401483
[Epoch 577/1000] [Batch 10/30] [loss: 0.038307] [loss1: 0.014483] [loss2: 0.011498] [loss3: 0.0123264] [lr: 0.000001] ETA: 4:14:06.658344
[Epoch 577/1000] [Batch 20/30] [loss: 0.055059] [loss1: 0.019500] [loss2: 0.017060] [loss3: 0.0184991] [lr: 0.000001] ETA: 4:13:24.332888 validation loss:[Epoch 577/1000] [mean loss: 0.051643] [mean PSNR: 35.707236]
[Epoch 578/1000] [Batch 0/30] [loss: 0.053543] [loss1: 0.019639] [loss2: 0.016390] [loss3: 0.0175140] [lr: 0.000001] ETA: 23:38:30.298076
[Epoch 578/1000] [Batch 10/30] [loss: 0.046199] [loss1: 0.016225] [loss2: 0.014252] [loss3: 0.0157223] [lr: 0.000001] ETA: 4:13:09.790523
[Epoch 578/1000] [Batch 20/30] [loss: 0.048609] [loss1: 0.016013] [loss2: 0.014444] [loss3: 0.0181516] [lr: 0.000001] ETA: 4:12:53.177986 validation loss:[Epoch 578/1000] [mean loss: 0.052945] [mean PSNR: 36.297173]
[Epoch 579/1000] [Batch 0/30] [loss: 0.037833] [loss1: 0.013619] [loss2: 0.010553] [loss3: 0.0136612] [lr: 0.000001] ETA: 22:19:21.138704
[Epoch 579/1000] [Batch 10/30] [loss: 0.046714] [loss1: 0.017133] [loss2: 0.014010] [loss3: 0.0155705] [lr: 0.000001] ETA: 4:12:32.602882
[Epoch 579/1000] [Batch 20/30] [loss: 0.074377] [loss1: 0.024803] [loss2: 0.022932] [loss3: 0.0266412] [lr: 0.000001] ETA: 4:12:33.998857 validation loss:[Epoch 579/1000] [mean loss: 0.057163] [mean PSNR: 35.409950]
[Epoch 580/1000] [Batch 0/30] [loss: 0.039330] [loss1: 0.014702] [loss2: 0.011554] [loss3: 0.0130747] [lr: 0.000001] ETA: 22:12:58.669310
[Epoch 580/1000] [Batch 10/30] [loss: 0.051255] [loss1: 0.017628] [loss2: 0.015078] [loss3: 0.0185483] [lr: 0.000001] ETA: 4:11:51.434534
[Epoch 580/1000] [Batch 20/30] [loss: 0.047742] [loss1: 0.016695] [loss2: 0.014822] [loss3: 0.0162238] [lr: 0.000001] ETA: 4:12:11.332421 validation loss:[Epoch 580/1000] [mean loss: 0.047322] [mean PSNR: 36.221046]
[Epoch 581/1000] [Batch 0/30] [loss: 0.042711] [loss1: 0.015856] [loss2: 0.013097] [loss3: 0.0137584] [lr: 0.000001] ETA: 22:17:20.743096
[Epoch 581/1000] [Batch 10/30] [loss: 0.050013] [loss1: 0.017388] [loss2: 0.015469] [loss3: 0.0171557] [lr: 0.000001] ETA: 4:11:45.548401
[Epoch 581/1000] [Batch 20/30] [loss: 0.041971] [loss1: 0.016401] [loss2: 0.012049] [loss3: 0.0135209] [lr: 0.000001] ETA: 4:11:22.405841 validation loss:[Epoch 581/1000] [mean loss: 0.056174] [mean PSNR: 36.080684]
[Epoch 582/1000] [Batch 0/30] [loss: 0.051456] [loss1: 0.017926] [loss2: 0.015626] [loss3: 0.0179038] [lr: 0.000001] ETA: 21:21:18.127313
[Epoch 582/1000] [Batch 10/30] [loss: 0.046418] [loss1: 0.016853] [loss2: 0.013954] [loss3: 0.0156102] [lr: 0.000001] ETA: 4:11:14.095728
[Epoch 582/1000] [Batch 20/30] [loss: 0.050609] [loss1: 0.017878] [loss2: 0.015428] [loss3: 0.0173029] [lr: 0.000001] ETA: 4:10:19.994726 validation loss:[Epoch 582/1000] [mean loss: 0.054995] [mean PSNR: 35.349666]
[Epoch 583/1000] [Batch 0/30] [loss: 0.048859] [loss1: 0.017069] [loss2: 0.014926] [loss3: 0.0168641] [lr: 0.000001] ETA: 23:53:52.171919
[Epoch 583/1000] [Batch 10/30] [loss: 0.045855] [loss1: 0.016476] [loss2: 0.013627] [loss3: 0.0157522] [lr: 0.000001] ETA: 4:09:43.534813
[Epoch 583/1000] [Batch 20/30] [loss: 0.046713] [loss1: 0.016212] [loss2: 0.014358] [loss3: 0.0161434] [lr: 0.000001] ETA: 4:10:05.992754 validation loss:[Epoch 583/1000] [mean loss: 0.051060] [mean PSNR: 36.038428]
[Epoch 584/1000] [Batch 0/30] [loss: 0.036736] [loss1: 0.013449] [loss2: 0.010989] [loss3: 0.0122980] [lr: 0.000001] ETA: 23:24:41.376801
[Epoch 584/1000] [Batch 10/30] [loss: 0.041093] [loss1: 0.014402] [loss2: 0.012162] [loss3: 0.0145289] [lr: 0.000001] ETA: 4:09:27.375040
[Epoch 584/1000] [Batch 20/30] [loss: 0.051265] [loss1: 0.018542] [loss2: 0.015875] [loss3: 0.0168478] [lr: 0.000001] ETA: 4:09:21.426611 validation loss:[Epoch 584/1000] [mean loss: 0.047013] [mean PSNR: 36.830463]
[Epoch 585/1000] [Batch 0/30] [loss: 0.033275] [loss1: 0.012123] [loss2: 0.009986] [loss3: 0.0111662] [lr: 0.000001] ETA: 22:13:35.651894
[Epoch 585/1000] [Batch 10/30] [loss: 0.048343] [loss1: 0.016387] [loss2: 0.014431] [loss3: 0.0175246] [lr: 0.000001] ETA: 4:09:05.309744
[Epoch 585/1000] [Batch 20/30] [loss: 0.046390] [loss1: 0.016511] [loss2: 0.014494] [loss3: 0.0153855] [lr: 0.000001] ETA: 4:08:43.376851 validation loss:[Epoch 585/1000] [mean loss: 0.049291] [mean PSNR: 36.211698]
[Epoch 586/1000] [Batch 0/30] [loss: 0.050862] [loss1: 0.018158] [loss2: 0.015222] [loss3: 0.0174824] [lr: 0.000001] ETA: 21:59:14.503641
[Epoch 586/1000] [Batch 10/30] [loss: 0.039361] [loss1: 0.014036] [loss2: 0.011975] [loss3: 0.0133499] [lr: 0.000001] ETA: 4:07:53.759747
[Epoch 586/1000] [Batch 20/30] [loss: 0.046382] [loss1: 0.016562] [loss2: 0.014097] [loss3: 0.0157226] [lr: 0.000001] ETA: 4:08:11.855717 validation loss:[Epoch 586/1000] [mean loss: 0.052367] [mean PSNR: 36.590244]
[Epoch 587/1000] [Batch 0/30] [loss: 0.053301] [loss1: 0.018805] [loss2: 0.016744] [loss3: 0.0177518] [lr: 0.000001] ETA: 23:12:23.835504
[Epoch 587/1000] [Batch 10/30] [loss: 0.041227] [loss1: 0.015806] [loss2: 0.012364] [loss3: 0.0130573] [lr: 0.000001] ETA: 4:07:35.832348
[Epoch 587/1000] [Batch 20/30] [loss: 0.036666] [loss1: 0.013069] [loss2: 0.010906] [loss3: 0.0126916] [lr: 0.000001] ETA: 4:06:58.395307 validation loss:[Epoch 587/1000] [mean loss: 0.059494] [mean PSNR: 35.054682]
[Epoch 588/1000] [Batch 0/30] [loss: 0.051393] [loss1: 0.018270] [loss2: 0.015572] [loss3: 0.0175505] [lr: 0.000001] ETA: 22:17:45.739288
[Epoch 588/1000] [Batch 10/30] [loss: 0.034240] [loss1: 0.012360] [loss2: 0.010012] [loss3: 0.0118680] [lr: 0.000001] ETA: 4:06:55.030324
[Epoch 588/1000] [Batch 20/30] [loss: 0.047627] [loss1: 0.015967] [loss2: 0.014440] [loss3: 0.0172207] [lr: 0.000001] ETA: 4:07:08.583417 validation loss:[Epoch 588/1000] [mean loss: 0.050310] [mean PSNR: 35.890682]