diff --git a/.gitattributes b/.gitattributes index a6344aac8c09253b3b630fb776ae94478aa0275b..3b0a3028db13d02827cbb3612313b996d7745e1b 100644 --- a/.gitattributes +++ b/.gitattributes @@ -33,3 +33,12 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text *.zip filter=lfs diff=lfs merge=lfs -text *.zst filter=lfs diff=lfs merge=lfs -text *tfevents* filter=lfs diff=lfs merge=lfs -text +RNAN/model_eval/3375/Set5_1.png filter=lfs diff=lfs merge=lfs -text +RNAN/model_eval/3380/Set5_1.png filter=lfs diff=lfs merge=lfs -text +RNAN/model_eval/3385/Set5_1.png filter=lfs diff=lfs merge=lfs -text +RNAN/model_eval/3390/Set5_1.png filter=lfs diff=lfs merge=lfs -text +RNAN/model_eval/3395/Set5_1.png filter=lfs diff=lfs merge=lfs -text +RNAN/model_eval/3400/Set5_1.png filter=lfs diff=lfs merge=lfs -text +RNAN/model_eval/3405/Set5_1.png filter=lfs diff=lfs merge=lfs -text +RNAN/model_eval/3410/Set5_1.png filter=lfs diff=lfs merge=lfs -text +RNAN/model_eval/3415/Set5_1.png filter=lfs diff=lfs merge=lfs -text diff --git a/DNAN/DNAN.log b/DNAN/DNAN.log new file mode 100644 index 0000000000000000000000000000000000000000..c9259384ec34b133694bd0882163fac494dcd850 --- /dev/null +++ b/DNAN/DNAN.log @@ -0,0 +1,7158 @@ +[2024-05-20 11:11:45,626] - INFO: LOGGER SETUP COMPLETED +[2024-05-20 11:11:45,630] - INFO: DATASET LOADED +[2024-05-20 11:11:45,984] - INFO: MODEL LOADED +[2024-05-20 11:11:45,984] - INFO: Device: cuda +[2024-05-20 11:11:49,194] - INFO: Epoch 1/9999, Iter 0: Loss = 0.25150424242019653, lr = [0.0001] +[2024-05-20 11:12:03,742] - INFO: Epoch 1/9999, Iter 20: Loss = 0.0630868449807167, lr = [0.0001] +[2024-05-20 11:12:17,972] - INFO: Epoch 1/9999, Iter 40: Loss = 0.04820328205823898, lr = [0.0001] +[2024-05-20 11:12:32,200] - INFO: Epoch 1/9999, Iter 60: Loss = 0.0315883569419384, lr = [0.0001] +[2024-05-20 11:12:46,432] - INFO: Epoch 1/9999, Iter 80: Loss = 0.025539904832839966, lr = [0.0001] +[2024-05-20 11:13:01,815] - INFO: Epoch 2/9999, Iter 100: Loss = 0.023988494649529457, lr = [0.0001] +[2024-05-20 11:13:16,427] - INFO: Epoch 2/9999, Iter 120: Loss = 0.02978348359465599, lr = [0.0001] +[2024-05-20 11:13:30,718] - INFO: Epoch 2/9999, Iter 140: Loss = 0.03430520370602608, lr = [0.0001] +[2024-05-20 11:13:45,108] - INFO: Epoch 2/9999, Iter 160: Loss = 0.019841203466057777, lr = [0.0001] +[2024-05-20 11:14:51,429] - INFO: Epoch 2/9999, Iter 180: Loss = 0.05077355355024338, lr = [0.0001] +[2024-05-20 11:15:07,246] - INFO: Epoch 3/9999, Iter 200: Loss = 0.03322385996580124, lr = [0.0001] +[2024-05-20 11:15:21,569] - INFO: Epoch 3/9999, Iter 220: Loss = 0.016662824898958206, lr = [0.0001] +[2024-05-20 11:15:35,928] - INFO: Epoch 3/9999, Iter 240: Loss = 0.025938471779227257, lr = [0.0001] +[2024-05-20 11:15:50,289] - INFO: Epoch 3/9999, Iter 260: Loss = 0.023337364196777344, lr = [0.0001] +[2024-05-20 11:16:04,701] - INFO: Epoch 3/9999, Iter 280: Loss = 0.017873957753181458, lr = [0.0001] +[2024-05-20 11:16:46,130] - INFO: Epoch 4/9999, Iter 300: Loss = 0.029166022315621376, lr = [0.0001] +[2024-05-20 11:17:00,576] - INFO: Epoch 4/9999, Iter 320: Loss = 0.019366590306162834, lr = [0.0001] +[2024-05-20 11:17:15,002] - INFO: Epoch 4/9999, Iter 340: Loss = 0.02178061380982399, lr = [0.0001] +[2024-05-20 11:17:29,408] - INFO: Epoch 4/9999, Iter 360: Loss = 0.021078035235404968, lr = [0.0001] +[2024-05-20 11:17:43,835] - INFO: Epoch 4/9999, Iter 380: Loss = 0.014949500560760498, lr = [0.0001] +[2024-05-20 11:17:59,469] - INFO: Epoch 5/9999, Iter 400: Loss = 0.02460123412311077, lr = [0.0001] +[2024-05-20 11:18:14,006] - INFO: Epoch 5/9999, Iter 420: Loss = 0.018171144649386406, lr = [0.0001] +[2024-05-20 11:18:28,485] - INFO: Epoch 5/9999, Iter 440: Loss = 0.027384348213672638, lr = [0.0001] +[2024-05-20 11:18:42,980] - INFO: Epoch 5/9999, Iter 460: Loss = 0.028931330889463425, lr = [0.0001] +[2024-05-20 11:18:57,560] - INFO: Epoch 5/9999, Iter 480: Loss = 0.022301770746707916, lr = [0.0001] +[2024-05-20 11:19:11,757] - INFO: Evaluate at epoch 5! +[2024-05-20 11:20:47,249] - INFO: Eval PSNR (max): 34.354 (5) SSIM (max): 0.9412 (5) +[2024-05-20 11:20:47,250] - INFO: Eval PSNR (current): 34.354 (5) SSIM (current): 0.9412 (5) +[2024-05-20 11:20:47,250] - INFO: Evaluation over. +[2024-05-20 11:21:51,176] - INFO: Epoch 6/9999, Iter 500: Loss = 0.031017493456602097, lr = [0.0001] +[2024-05-20 11:22:05,373] - INFO: Epoch 6/9999, Iter 520: Loss = 0.018016748130321503, lr = [0.0001] +[2024-05-20 11:22:19,588] - INFO: Epoch 6/9999, Iter 540: Loss = 0.02054004557430744, lr = [0.0001] +[2024-05-20 11:22:33,919] - INFO: Epoch 6/9999, Iter 560: Loss = 0.02538696490228176, lr = [0.0001] +[2024-05-20 11:22:48,315] - INFO: Epoch 6/9999, Iter 580: Loss = 0.01562853343784809, lr = [0.0001] +[2024-05-20 11:23:03,926] - INFO: Epoch 7/9999, Iter 600: Loss = 0.020854998379945755, lr = [0.0001] +[2024-05-20 11:23:18,385] - INFO: Epoch 7/9999, Iter 620: Loss = 0.02919965423643589, lr = [0.0001] +[2024-05-20 11:23:32,784] - INFO: Epoch 7/9999, Iter 640: Loss = 0.028474189341068268, lr = [0.0001] +[2024-05-20 11:23:47,305] - INFO: Epoch 7/9999, Iter 660: Loss = 0.020523233339190483, lr = [0.0001] +[2024-05-20 11:24:01,865] - INFO: Epoch 7/9999, Iter 680: Loss = 0.013765711337327957, lr = [0.0001] +[2024-05-20 11:24:17,713] - INFO: Epoch 8/9999, Iter 700: Loss = 0.021963108330965042, lr = [0.0001] +[2024-05-20 11:24:32,394] - INFO: Epoch 8/9999, Iter 720: Loss = 0.01509549655020237, lr = [0.0001] +[2024-05-20 11:24:46,985] - INFO: Epoch 8/9999, Iter 740: Loss = 0.025423314422369003, lr = [0.0001] +[2024-05-20 11:25:01,806] - INFO: Epoch 8/9999, Iter 760: Loss = 0.01618466153740883, lr = [0.0001] +[2024-05-20 11:27:03,088] - INFO: Epoch 8/9999, Iter 780: Loss = 0.01980111561715603, lr = [0.0001] +[2024-05-20 11:27:18,593] - INFO: Epoch 9/9999, Iter 800: Loss = 0.023233074694871902, lr = [0.0001] +[2024-05-20 11:27:32,921] - INFO: Epoch 9/9999, Iter 820: Loss = 0.029287729412317276, lr = [0.0001] +[2024-05-20 11:27:47,305] - INFO: Epoch 9/9999, Iter 840: Loss = 0.025768199935555458, lr = [0.0001] +[2024-05-20 11:28:01,653] - INFO: Epoch 9/9999, Iter 860: Loss = 0.020091308280825615, lr = [0.0001] +[2024-05-20 11:28:16,088] - INFO: Epoch 9/9999, Iter 880: Loss = 0.018501900136470795, lr = [0.0001] +[2024-05-20 11:28:31,748] - INFO: Epoch 10/9999, Iter 900: Loss = 0.013069705106317997, lr = [0.0001] +[2024-05-20 11:28:46,228] - INFO: Epoch 10/9999, Iter 920: Loss = 0.020632518455386162, lr = [0.0001] +[2024-05-20 11:29:00,720] - INFO: Epoch 10/9999, Iter 940: Loss = 0.0282913688570261, lr = [0.0001] +[2024-05-20 11:29:15,224] - INFO: Epoch 10/9999, Iter 960: Loss = 0.023224392905831337, lr = [0.0001] +[2024-05-20 11:29:35,811] - INFO: Epoch 10/9999, Iter 980: Loss = 0.015456696040928364, lr = [0.0001] +[2024-05-20 11:29:56,724] - INFO: Evaluate at epoch 10! +[2024-05-20 11:31:42,086] - INFO: Eval PSNR (max): 35.006 (10) SSIM (max): 0.9434 (10) +[2024-05-20 11:31:42,087] - INFO: Eval PSNR (current): 35.006 (10) SSIM (current): 0.9434 (10) +[2024-05-20 11:31:42,087] - INFO: Evaluation over. +[2024-05-20 11:32:26,202] - INFO: Epoch 11/9999, Iter 1000: Loss = 0.022387459874153137, lr = [0.0001] +[2024-05-20 11:32:46,164] - INFO: Epoch 11/9999, Iter 1020: Loss = 0.018490048125386238, lr = [0.0001] +[2024-05-20 11:33:00,421] - INFO: Epoch 11/9999, Iter 1040: Loss = 0.02288670837879181, lr = [0.0001] +[2024-05-20 11:33:14,704] - INFO: Epoch 11/9999, Iter 1060: Loss = 0.010046379640698433, lr = [0.0001] +[2024-05-20 11:33:29,322] - INFO: Epoch 11/9999, Iter 1080: Loss = 0.02258799783885479, lr = [0.0001] +[2024-05-20 11:33:44,815] - INFO: Epoch 12/9999, Iter 1100: Loss = 0.02276138961315155, lr = [0.0001] +[2024-05-20 11:33:59,330] - INFO: Epoch 12/9999, Iter 1120: Loss = 0.01667359285056591, lr = [0.0001] +[2024-05-20 11:34:13,783] - INFO: Epoch 12/9999, Iter 1140: Loss = 0.01656533218920231, lr = [0.0001] +[2024-05-20 11:34:28,331] - INFO: Epoch 12/9999, Iter 1160: Loss = 0.01242793072015047, lr = [0.0001] +[2024-05-20 11:34:42,853] - INFO: Epoch 12/9999, Iter 1180: Loss = 0.012430614791810513, lr = [0.0001] +[2024-05-20 11:35:00,648] - INFO: Epoch 13/9999, Iter 1200: Loss = 0.015942592173814774, lr = [0.0001] +[2024-05-20 11:35:18,565] - INFO: Epoch 13/9999, Iter 1220: Loss = 0.017433837056159973, lr = [0.0001] +[2024-05-20 11:35:33,276] - INFO: Epoch 13/9999, Iter 1240: Loss = 0.02564287558197975, lr = [0.0001] +[2024-05-20 11:35:47,796] - INFO: Epoch 13/9999, Iter 1260: Loss = 0.01741648092865944, lr = [0.0001] +[2024-05-20 11:36:02,402] - INFO: Epoch 13/9999, Iter 1280: Loss = 0.025158675387501717, lr = [0.0001] +[2024-05-20 11:36:18,092] - INFO: Epoch 14/9999, Iter 1300: Loss = 0.01607477106153965, lr = [0.0001] +[2024-05-20 11:36:32,825] - INFO: Epoch 14/9999, Iter 1320: Loss = 0.015163423493504524, lr = [0.0001] +[2024-05-20 11:36:47,508] - INFO: Epoch 14/9999, Iter 1340: Loss = 0.03495904430747032, lr = [0.0001] +[2024-05-20 11:37:02,166] - INFO: Epoch 14/9999, Iter 1360: Loss = 0.019263016059994698, lr = [0.0001] +[2024-05-20 11:37:16,820] - INFO: Epoch 14/9999, Iter 1380: Loss = 0.013377785682678223, lr = [0.0001] +[2024-05-20 11:37:32,641] - INFO: Epoch 15/9999, Iter 1400: Loss = 0.013652712106704712, lr = [0.0001] +[2024-05-20 11:37:47,363] - INFO: Epoch 15/9999, Iter 1420: Loss = 0.014990044757723808, lr = [0.0001] +[2024-05-20 11:38:02,011] - INFO: Epoch 15/9999, Iter 1440: Loss = 0.01601327210664749, lr = [0.0001] +[2024-05-20 11:38:16,757] - INFO: Epoch 15/9999, Iter 1460: Loss = 0.01974635384976864, lr = [0.0001] +[2024-05-20 11:38:31,499] - INFO: Epoch 15/9999, Iter 1480: Loss = 0.012553567998111248, lr = [0.0001] +[2024-05-20 11:38:45,916] - INFO: Evaluate at epoch 15! +[2024-05-20 11:39:33,117] - INFO: Eval PSNR (max): 35.006 (10) SSIM (max): 0.9452 (15) +[2024-05-20 11:39:33,117] - INFO: Eval PSNR (current): 34.952 (15) SSIM (current): 0.9452 (15) +[2024-05-20 11:39:33,117] - INFO: Evaluation over. +[2024-05-20 11:40:17,329] - INFO: Epoch 16/9999, Iter 1500: Loss = 0.014236552640795708, lr = [0.0001] +[2024-05-20 11:40:31,756] - INFO: Epoch 16/9999, Iter 1520: Loss = 0.0226124320179224, lr = [0.0001] +[2024-05-20 11:40:46,211] - INFO: Epoch 16/9999, Iter 1540: Loss = 0.024980684742331505, lr = [0.0001] +[2024-05-20 11:41:00,656] - INFO: Epoch 16/9999, Iter 1560: Loss = 0.0240837000310421, lr = [0.0001] +[2024-05-20 11:41:15,066] - INFO: Epoch 16/9999, Iter 1580: Loss = 0.017926620319485664, lr = [0.0001] +[2024-05-20 11:41:30,934] - INFO: Epoch 17/9999, Iter 1600: Loss = 0.01261957734823227, lr = [0.0001] +[2024-05-20 11:41:45,407] - INFO: Epoch 17/9999, Iter 1620: Loss = 0.017249902710318565, lr = [0.0001] +[2024-05-20 11:42:00,020] - INFO: Epoch 17/9999, Iter 1640: Loss = 0.020700322464108467, lr = [0.0001] +[2024-05-20 11:42:14,612] - INFO: Epoch 17/9999, Iter 1660: Loss = 0.014683902263641357, lr = [0.0001] +[2024-05-20 11:42:29,225] - INFO: Epoch 17/9999, Iter 1680: Loss = 0.031788796186447144, lr = [0.0001] +[2024-05-20 11:42:45,200] - INFO: Epoch 18/9999, Iter 1700: Loss = 0.015376115217804909, lr = [0.0001] +[2024-05-20 11:42:59,904] - INFO: Epoch 18/9999, Iter 1720: Loss = 0.027641018852591515, lr = [0.0001] +[2024-05-20 11:43:14,565] - INFO: Epoch 18/9999, Iter 1740: Loss = 0.02296989969909191, lr = [0.0001] +[2024-05-20 11:43:29,198] - INFO: Epoch 18/9999, Iter 1760: Loss = 0.025750646367669106, lr = [0.0001] +[2024-05-20 11:43:43,856] - INFO: Epoch 18/9999, Iter 1780: Loss = 0.01153147779405117, lr = [0.0001] +[2024-05-20 11:43:59,628] - INFO: Epoch 19/9999, Iter 1800: Loss = 0.020168747752904892, lr = [0.0001] +[2024-05-20 11:44:14,416] - INFO: Epoch 19/9999, Iter 1820: Loss = 0.011775906197726727, lr = [0.0001] +[2024-05-20 11:44:29,176] - INFO: Epoch 19/9999, Iter 1840: Loss = 0.017335684970021248, lr = [0.0001] +[2024-05-20 11:44:43,960] - INFO: Epoch 19/9999, Iter 1860: Loss = 0.02296980656683445, lr = [0.0001] +[2024-05-20 11:44:58,736] - INFO: Epoch 19/9999, Iter 1880: Loss = 0.01871773973107338, lr = [0.0001] +[2024-05-20 11:45:14,737] - INFO: Epoch 20/9999, Iter 1900: Loss = 0.018097326159477234, lr = [0.0001] +[2024-05-20 11:45:29,450] - INFO: Epoch 20/9999, Iter 1920: Loss = 0.014755398966372013, lr = [0.0001] +[2024-05-20 11:45:44,192] - INFO: Epoch 20/9999, Iter 1940: Loss = 0.013022767379879951, lr = [0.0001] +[2024-05-20 11:45:58,924] - INFO: Epoch 20/9999, Iter 1960: Loss = 0.02655506506562233, lr = [0.0001] +[2024-05-20 11:46:13,642] - INFO: Epoch 20/9999, Iter 1980: Loss = 0.010900616645812988, lr = [0.0001] +[2024-05-20 11:46:28,069] - INFO: Evaluate at epoch 20! +[2024-05-20 11:48:01,659] - INFO: Eval PSNR (max): 35.738 (20) SSIM (max): 0.9470 (20) +[2024-05-20 11:48:01,660] - INFO: Eval PSNR (current): 35.738 (20) SSIM (current): 0.9470 (20) +[2024-05-20 11:48:01,660] - INFO: Evaluation over. +[2024-05-20 11:48:45,792] - INFO: Epoch 21/9999, Iter 2000: Loss = 0.016464009881019592, lr = [0.0001] +[2024-05-20 11:49:00,144] - INFO: Epoch 21/9999, Iter 2020: Loss = 0.020052766427397728, lr = [0.0001] +[2024-05-20 11:49:14,488] - INFO: Epoch 21/9999, Iter 2040: Loss = 0.010811016894876957, lr = [0.0001] +[2024-05-20 11:49:28,829] - INFO: Epoch 21/9999, Iter 2060: Loss = 0.01450319867581129, lr = [0.0001] +[2024-05-20 11:49:43,209] - INFO: Epoch 21/9999, Iter 2080: Loss = 0.018998654559254646, lr = [0.0001] +[2024-05-20 11:49:59,167] - INFO: Epoch 22/9999, Iter 2100: Loss = 0.019399628043174744, lr = [0.0001] +[2024-05-20 11:50:13,588] - INFO: Epoch 22/9999, Iter 2120: Loss = 0.0108747947961092, lr = [0.0001] +[2024-05-20 11:50:27,964] - INFO: Epoch 22/9999, Iter 2140: Loss = 0.01680772937834263, lr = [0.0001] +[2024-05-20 11:50:42,503] - INFO: Epoch 22/9999, Iter 2160: Loss = 0.015086646191775799, lr = [0.0001] +[2024-05-20 11:50:57,144] - INFO: Epoch 22/9999, Iter 2180: Loss = 0.01727481558918953, lr = [0.0001] +[2024-05-20 11:51:12,976] - INFO: Epoch 23/9999, Iter 2200: Loss = 0.017271479591727257, lr = [0.0001] +[2024-05-20 11:51:27,519] - INFO: Epoch 23/9999, Iter 2220: Loss = 0.026734471321105957, lr = [0.0001] +[2024-05-20 11:51:42,139] - INFO: Epoch 23/9999, Iter 2240: Loss = 0.025570547208189964, lr = [0.0001] +[2024-05-20 11:51:56,737] - INFO: Epoch 23/9999, Iter 2260: Loss = 0.024165811017155647, lr = [0.0001] +[2024-05-20 11:52:11,514] - INFO: Epoch 23/9999, Iter 2280: Loss = 0.017878595739603043, lr = [0.0001] +[2024-05-20 11:52:27,413] - INFO: Epoch 24/9999, Iter 2300: Loss = 0.019810177385807037, lr = [0.0001] +[2024-05-20 11:52:42,140] - INFO: Epoch 24/9999, Iter 2320: Loss = 0.013410178013145924, lr = [0.0001] +[2024-05-20 11:52:56,831] - INFO: Epoch 24/9999, Iter 2340: Loss = 0.016795091331005096, lr = [0.0001] +[2024-05-20 11:53:11,530] - INFO: Epoch 24/9999, Iter 2360: Loss = 0.020118454471230507, lr = [0.0001] +[2024-05-20 11:53:26,252] - INFO: Epoch 24/9999, Iter 2380: Loss = 0.013997155241668224, lr = [0.0001] +[2024-05-20 11:53:42,136] - INFO: Epoch 25/9999, Iter 2400: Loss = 0.007188640534877777, lr = [0.0001] +[2024-05-20 11:53:57,004] - INFO: Epoch 25/9999, Iter 2420: Loss = 0.018588630482554436, lr = [0.0001] +[2024-05-20 11:54:11,753] - INFO: Epoch 25/9999, Iter 2440: Loss = 0.016661401838064194, lr = [0.0001] +[2024-05-20 11:54:26,499] - INFO: Epoch 25/9999, Iter 2460: Loss = 0.01665274053812027, lr = [0.0001] +[2024-05-20 11:54:41,235] - INFO: Epoch 25/9999, Iter 2480: Loss = 0.012957287952303886, lr = [0.0001] +[2024-05-20 11:54:55,643] - INFO: Evaluate at epoch 25! +[2024-05-20 11:56:25,385] - INFO: Eval PSNR (max): 36.217 (25) SSIM (max): 0.9530 (25) +[2024-05-20 11:56:25,386] - INFO: Eval PSNR (current): 36.217 (25) SSIM (current): 0.9530 (25) +[2024-05-20 11:56:25,386] - INFO: Evaluation over. +[2024-05-20 11:57:09,604] - INFO: Epoch 26/9999, Iter 2500: Loss = 0.02257927693426609, lr = [0.0001] +[2024-05-20 11:57:23,964] - INFO: Epoch 26/9999, Iter 2520: Loss = 0.01462961733341217, lr = [0.0001] +[2024-05-20 11:57:38,325] - INFO: Epoch 26/9999, Iter 2540: Loss = 0.01921497844159603, lr = [0.0001] +[2024-05-20 11:57:54,436] - INFO: Epoch 26/9999, Iter 2560: Loss = 0.02190607599914074, lr = [0.0001] +[2024-05-20 11:58:08,837] - INFO: Epoch 26/9999, Iter 2580: Loss = 0.014656081795692444, lr = [0.0001] +[2024-05-20 11:58:24,621] - INFO: Epoch 27/9999, Iter 2600: Loss = 0.030909240245819092, lr = [0.0001] +[2024-05-20 11:58:39,096] - INFO: Epoch 27/9999, Iter 2620: Loss = 0.01517732534557581, lr = [0.0001] +[2024-05-20 11:58:53,543] - INFO: Epoch 27/9999, Iter 2640: Loss = 0.012660914100706577, lr = [0.0001] +[2024-05-20 11:59:08,049] - INFO: Epoch 27/9999, Iter 2660: Loss = 0.017834497615695, lr = [0.0001] +[2024-05-20 11:59:22,668] - INFO: Epoch 27/9999, Iter 2680: Loss = 0.022357871755957603, lr = [0.0001] +[2024-05-20 11:59:38,260] - INFO: Epoch 28/9999, Iter 2700: Loss = 0.02588079310953617, lr = [0.0001] +[2024-05-20 11:59:52,851] - INFO: Epoch 28/9999, Iter 2720: Loss = 0.009802483022212982, lr = [0.0001] +[2024-05-20 12:00:07,432] - INFO: Epoch 28/9999, Iter 2740: Loss = 0.01603912003338337, lr = [0.0001] +[2024-05-20 12:00:22,036] - INFO: Epoch 28/9999, Iter 2760: Loss = 0.014625990763306618, lr = [0.0001] +[2024-05-20 12:00:36,655] - INFO: Epoch 28/9999, Iter 2780: Loss = 0.010679113678634167, lr = [0.0001] +[2024-05-20 12:00:52,556] - INFO: Epoch 29/9999, Iter 2800: Loss = 0.01005693431943655, lr = [0.0001] +[2024-05-20 12:01:07,279] - INFO: Epoch 29/9999, Iter 2820: Loss = 0.011365516111254692, lr = [0.0001] +[2024-05-20 12:01:21,954] - INFO: Epoch 29/9999, Iter 2840: Loss = 0.021802185103297234, lr = [0.0001] +[2024-05-20 12:01:36,709] - INFO: Epoch 29/9999, Iter 2860: Loss = 0.02107248455286026, lr = [0.0001] +[2024-05-20 12:01:51,498] - INFO: Epoch 29/9999, Iter 2880: Loss = 0.014526031911373138, lr = [0.0001] +[2024-05-20 12:02:07,570] - INFO: Epoch 30/9999, Iter 2900: Loss = 0.021898867562413216, lr = [0.0001] +[2024-05-20 12:02:22,364] - INFO: Epoch 30/9999, Iter 2920: Loss = 0.014187807217240334, lr = [0.0001] +[2024-05-20 12:02:37,113] - INFO: Epoch 30/9999, Iter 2940: Loss = 0.01862371899187565, lr = [0.0001] +[2024-05-20 12:02:51,782] - INFO: Epoch 30/9999, Iter 2960: Loss = 0.01056876964867115, lr = [0.0001] +[2024-05-20 12:03:06,539] - INFO: Epoch 30/9999, Iter 2980: Loss = 0.01744428090751171, lr = [0.0001] +[2024-05-20 12:03:20,847] - INFO: Evaluate at epoch 30! +[2024-05-20 12:04:51,108] - INFO: Eval PSNR (max): 36.721 (30) SSIM (max): 0.9551 (30) +[2024-05-20 12:04:51,109] - INFO: Eval PSNR (current): 36.721 (30) SSIM (current): 0.9551 (30) +[2024-05-20 12:04:51,109] - INFO: Evaluation over. +[2024-05-20 12:05:35,472] - INFO: Epoch 31/9999, Iter 3000: Loss = 0.010246439836919308, lr = [0.0001] +[2024-05-20 12:05:49,780] - INFO: Epoch 31/9999, Iter 3020: Loss = 0.01696436107158661, lr = [0.0001] +[2024-05-20 12:06:04,185] - INFO: Epoch 31/9999, Iter 3040: Loss = 0.013822818174958229, lr = [0.0001] +[2024-05-20 12:06:18,596] - INFO: Epoch 31/9999, Iter 3060: Loss = 0.014059031382203102, lr = [0.0001] +[2024-05-20 12:06:32,911] - INFO: Epoch 31/9999, Iter 3080: Loss = 0.017656363546848297, lr = [0.0001] +[2024-05-20 12:06:48,512] - INFO: Epoch 32/9999, Iter 3100: Loss = 0.03037821687757969, lr = [0.0001] +[2024-05-20 12:07:03,056] - INFO: Epoch 32/9999, Iter 3120: Loss = 0.01763932965695858, lr = [0.0001] +[2024-05-20 12:07:17,477] - INFO: Epoch 32/9999, Iter 3140: Loss = 0.014500878751277924, lr = [0.0001] +[2024-05-20 12:07:31,947] - INFO: Epoch 32/9999, Iter 3160: Loss = 0.012099122628569603, lr = [0.0001] +[2024-05-20 12:07:46,444] - INFO: Epoch 32/9999, Iter 3180: Loss = 0.01251267921179533, lr = [0.0001] +[2024-05-20 12:08:02,297] - INFO: Epoch 33/9999, Iter 3200: Loss = 0.013852457515895367, lr = [0.0001] +[2024-05-20 12:08:16,892] - INFO: Epoch 33/9999, Iter 3220: Loss = 0.019755056127905846, lr = [0.0001] +[2024-05-20 12:08:31,454] - INFO: Epoch 33/9999, Iter 3240: Loss = 0.015624837018549442, lr = [0.0001] +[2024-05-20 12:08:46,004] - INFO: Epoch 33/9999, Iter 3260: Loss = 0.01342303678393364, lr = [0.0001] +[2024-05-20 12:09:00,674] - INFO: Epoch 33/9999, Iter 3280: Loss = 0.019402654841542244, lr = [0.0001] +[2024-05-20 12:09:16,602] - INFO: Epoch 34/9999, Iter 3300: Loss = 0.01855975016951561, lr = [0.0001] +[2024-05-20 12:09:31,296] - INFO: Epoch 34/9999, Iter 3320: Loss = 0.02449711598455906, lr = [0.0001] +[2024-05-20 12:09:45,953] - INFO: Epoch 34/9999, Iter 3340: Loss = 0.02025698311626911, lr = [0.0001] +[2024-05-20 12:10:00,698] - INFO: Epoch 34/9999, Iter 3360: Loss = 0.016632774844765663, lr = [0.0001] +[2024-05-20 12:10:15,415] - INFO: Epoch 34/9999, Iter 3380: Loss = 0.016354966908693314, lr = [0.0001] +[2024-05-20 12:10:31,198] - INFO: Epoch 35/9999, Iter 3400: Loss = 0.01682736724615097, lr = [0.0001] +[2024-05-20 12:10:45,954] - INFO: Epoch 35/9999, Iter 3420: Loss = 0.015588040463626385, lr = [0.0001] +[2024-05-20 12:11:00,668] - INFO: Epoch 35/9999, Iter 3440: Loss = 0.014689860865473747, lr = [0.0001] +[2024-05-20 12:11:15,468] - INFO: Epoch 35/9999, Iter 3460: Loss = 0.013597791083157063, lr = [0.0001] +[2024-05-20 12:11:30,215] - INFO: Epoch 35/9999, Iter 3480: Loss = 0.015040801838040352, lr = [0.0001] +[2024-05-20 12:11:44,665] - INFO: Evaluate at epoch 35! +[2024-05-20 12:13:14,518] - INFO: Eval PSNR (max): 36.859 (35) SSIM (max): 0.9552 (35) +[2024-05-20 12:13:14,519] - INFO: Eval PSNR (current): 36.859 (35) SSIM (current): 0.9552 (35) +[2024-05-20 12:13:14,519] - INFO: Evaluation over. +[2024-05-20 12:13:58,739] - INFO: Epoch 36/9999, Iter 3500: Loss = 0.020839113742113113, lr = [0.0001] +[2024-05-20 12:14:13,106] - INFO: Epoch 36/9999, Iter 3520: Loss = 0.009933413937687874, lr = [0.0001] +[2024-05-20 12:14:27,486] - INFO: Epoch 36/9999, Iter 3540: Loss = 0.01555239874869585, lr = [0.0001] +[2024-05-20 12:14:41,866] - INFO: Epoch 36/9999, Iter 3560: Loss = 0.013394112698733807, lr = [0.0001] +[2024-05-20 12:14:56,319] - INFO: Epoch 36/9999, Iter 3580: Loss = 0.016061296686530113, lr = [0.0001] +[2024-05-20 12:16:04,675] - INFO: Epoch 37/9999, Iter 3600: Loss = 0.015905896201729774, lr = [0.0001] +[2024-05-20 12:16:19,073] - INFO: Epoch 37/9999, Iter 3620: Loss = 0.011330480687320232, lr = [0.0001] +[2024-05-20 12:16:33,460] - INFO: Epoch 37/9999, Iter 3640: Loss = 0.022441644221544266, lr = [0.0001] +[2024-05-20 12:16:47,829] - INFO: Epoch 37/9999, Iter 3660: Loss = 0.022432643920183182, lr = [0.0001] +[2024-05-20 12:17:02,262] - INFO: Epoch 37/9999, Iter 3680: Loss = 0.011750464327633381, lr = [0.0001] +[2024-05-20 12:17:17,727] - INFO: Epoch 38/9999, Iter 3700: Loss = 0.0181388221681118, lr = [0.0001] +[2024-05-20 12:17:32,208] - INFO: Epoch 38/9999, Iter 3720: Loss = 0.017811451107263565, lr = [0.0001] +[2024-05-20 12:17:46,750] - INFO: Epoch 38/9999, Iter 3740: Loss = 0.01596347987651825, lr = [0.0001] +[2024-05-20 12:18:01,226] - INFO: Epoch 38/9999, Iter 3760: Loss = 0.017348654568195343, lr = [0.0001] +[2024-05-20 12:18:15,797] - INFO: Epoch 38/9999, Iter 3780: Loss = 0.014146428555250168, lr = [0.0001] +[2024-05-20 12:18:31,504] - INFO: Epoch 39/9999, Iter 3800: Loss = 0.020005377009510994, lr = [0.0001] +[2024-05-20 12:19:01,624] - INFO: Epoch 39/9999, Iter 3820: Loss = 0.018604401499032974, lr = [0.0001] +[2024-05-20 12:19:16,200] - INFO: Epoch 39/9999, Iter 3840: Loss = 0.01924140378832817, lr = [0.0001] +[2024-05-20 12:19:30,680] - INFO: Epoch 39/9999, Iter 3860: Loss = 0.01561291329562664, lr = [0.0001] +[2024-05-20 12:19:45,219] - INFO: Epoch 39/9999, Iter 3880: Loss = 0.01885487139225006, lr = [0.0001] +[2024-05-20 12:20:01,215] - INFO: Epoch 40/9999, Iter 3900: Loss = 0.009843305684626102, lr = [0.0001] +[2024-05-20 12:20:15,811] - INFO: Epoch 40/9999, Iter 3920: Loss = 0.013908778317272663, lr = [0.0001] +[2024-05-20 12:20:30,369] - INFO: Epoch 40/9999, Iter 3940: Loss = 0.01063121110200882, lr = [0.0001] +[2024-05-20 12:20:44,952] - INFO: Epoch 40/9999, Iter 3960: Loss = 0.030068552121520042, lr = [0.0001] +[2024-05-20 12:20:59,516] - INFO: Epoch 40/9999, Iter 3980: Loss = 0.014722729101777077, lr = [0.0001] +[2024-05-20 12:21:44,018] - INFO: Evaluate at epoch 40! +[2024-05-20 12:23:14,171] - INFO: Eval PSNR (max): 36.900 (40) SSIM (max): 0.9562 (40) +[2024-05-20 12:23:14,172] - INFO: Eval PSNR (current): 36.900 (40) SSIM (current): 0.9562 (40) +[2024-05-20 12:23:14,172] - INFO: Evaluation over. +[2024-05-20 12:23:58,528] - INFO: Epoch 41/9999, Iter 4000: Loss = 0.010968541726469994, lr = [0.0001] +[2024-05-20 12:24:12,747] - INFO: Epoch 41/9999, Iter 4020: Loss = 0.01216675341129303, lr = [0.0001] +[2024-05-20 12:24:27,027] - INFO: Epoch 41/9999, Iter 4040: Loss = 0.015228375792503357, lr = [0.0001] +[2024-05-20 12:24:41,320] - INFO: Epoch 41/9999, Iter 4060: Loss = 0.010991702787578106, lr = [0.0001] +[2024-05-20 12:24:55,637] - INFO: Epoch 41/9999, Iter 4080: Loss = 0.016524983569979668, lr = [0.0001] +[2024-05-20 12:25:55,149] - INFO: Epoch 42/9999, Iter 4100: Loss = 0.019445061683654785, lr = [0.0001] +[2024-05-20 12:26:09,500] - INFO: Epoch 42/9999, Iter 4120: Loss = 0.02478414587676525, lr = [0.0001] +[2024-05-20 12:26:23,860] - INFO: Epoch 42/9999, Iter 4140: Loss = 0.01444917917251587, lr = [0.0001] +[2024-05-20 12:26:38,221] - INFO: Epoch 42/9999, Iter 4160: Loss = 0.018174909055233, lr = [0.0001] +[2024-05-20 12:26:52,581] - INFO: Epoch 42/9999, Iter 4180: Loss = 0.013631677255034447, lr = [0.0001] +[2024-05-20 12:27:08,226] - INFO: Epoch 43/9999, Iter 4200: Loss = 0.014651563949882984, lr = [0.0001] +[2024-05-20 12:27:22,668] - INFO: Epoch 43/9999, Iter 4220: Loss = 0.014668844640254974, lr = [0.0001] +[2024-05-20 12:27:37,160] - INFO: Epoch 43/9999, Iter 4240: Loss = 0.019454143941402435, lr = [0.0001] +[2024-05-20 12:27:51,585] - INFO: Epoch 43/9999, Iter 4260: Loss = 0.020416071638464928, lr = [0.0001] +[2024-05-20 12:28:06,104] - INFO: Epoch 43/9999, Iter 4280: Loss = 0.019423816353082657, lr = [0.0001] +[2024-05-20 12:28:21,770] - INFO: Epoch 44/9999, Iter 4300: Loss = 0.018231360241770744, lr = [0.0001] +[2024-05-20 12:28:36,428] - INFO: Epoch 44/9999, Iter 4320: Loss = 0.023977164179086685, lr = [0.0001] +[2024-05-20 12:28:51,001] - INFO: Epoch 44/9999, Iter 4340: Loss = 0.019576188176870346, lr = [0.0001] +[2024-05-20 12:29:05,608] - INFO: Epoch 44/9999, Iter 4360: Loss = 0.02498665452003479, lr = [0.0001] +[2024-05-20 12:29:20,277] - INFO: Epoch 44/9999, Iter 4380: Loss = 0.01860954985022545, lr = [0.0001] +[2024-05-20 12:29:36,230] - INFO: Epoch 45/9999, Iter 4400: Loss = 0.014701432548463345, lr = [0.0001] +[2024-05-20 12:29:50,898] - INFO: Epoch 45/9999, Iter 4420: Loss = 0.019693519920110703, lr = [0.0001] +[2024-05-20 12:30:05,649] - INFO: Epoch 45/9999, Iter 4440: Loss = 0.0159589983522892, lr = [0.0001] +[2024-05-20 12:30:20,320] - INFO: Epoch 45/9999, Iter 4460: Loss = 0.016274338588118553, lr = [0.0001] +[2024-05-20 12:30:35,019] - INFO: Epoch 45/9999, Iter 4480: Loss = 0.01591542735695839, lr = [0.0001] +[2024-05-20 12:30:49,447] - INFO: Evaluate at epoch 45! +[2024-05-20 12:34:38,134] - INFO: Eval PSNR (max): 36.912 (45) SSIM (max): 0.9562 (40) +[2024-05-20 12:34:38,136] - INFO: Eval PSNR (current): 36.912 (45) SSIM (current): 0.9554 (45) +[2024-05-20 12:34:38,136] - INFO: Evaluation over. +[2024-05-20 12:35:22,564] - INFO: Epoch 46/9999, Iter 4500: Loss = 0.01586131751537323, lr = [0.0001] +[2024-05-20 12:35:36,872] - INFO: Epoch 46/9999, Iter 4520: Loss = 0.013015002943575382, lr = [0.0001] +[2024-05-20 12:35:51,136] - INFO: Epoch 46/9999, Iter 4540: Loss = 0.035164494067430496, lr = [0.0001] +[2024-05-20 12:36:05,438] - INFO: Epoch 46/9999, Iter 4560: Loss = 0.015480578877031803, lr = [0.0001] +[2024-05-20 12:36:19,779] - INFO: Epoch 46/9999, Iter 4580: Loss = 0.012534205801784992, lr = [0.0001] +[2024-05-20 12:36:35,488] - INFO: Epoch 47/9999, Iter 4600: Loss = 0.017910972237586975, lr = [0.0001] +[2024-05-20 12:36:49,893] - INFO: Epoch 47/9999, Iter 4620: Loss = 0.018193444237113, lr = [0.0001] +[2024-05-20 12:37:04,385] - INFO: Epoch 47/9999, Iter 4640: Loss = 0.017833849415183067, lr = [0.0001] +[2024-05-20 12:37:18,773] - INFO: Epoch 47/9999, Iter 4660: Loss = 0.024393554776906967, lr = [0.0001] +[2024-05-20 12:37:33,178] - INFO: Epoch 47/9999, Iter 4680: Loss = 0.0180619265884161, lr = [0.0001] +[2024-05-20 12:37:48,920] - INFO: Epoch 48/9999, Iter 4700: Loss = 0.016164787113666534, lr = [0.0001] +[2024-05-20 12:38:03,479] - INFO: Epoch 48/9999, Iter 4720: Loss = 0.01764698140323162, lr = [0.0001] +[2024-05-20 12:38:18,005] - INFO: Epoch 48/9999, Iter 4740: Loss = 0.015743501484394073, lr = [0.0001] +[2024-05-20 12:38:32,578] - INFO: Epoch 48/9999, Iter 4760: Loss = 0.018350765109062195, lr = [0.0001] +[2024-05-20 12:38:47,239] - INFO: Epoch 48/9999, Iter 4780: Loss = 0.03322691097855568, lr = [0.0001] +[2024-05-20 12:39:03,320] - INFO: Epoch 49/9999, Iter 4800: Loss = 0.012898551300168037, lr = [0.0001] +[2024-05-20 12:39:17,974] - INFO: Epoch 49/9999, Iter 4820: Loss = 0.012164275161921978, lr = [0.0001] +[2024-05-20 12:39:32,533] - INFO: Epoch 49/9999, Iter 4840: Loss = 0.013672374188899994, lr = [0.0001] +[2024-05-20 12:39:48,159] - INFO: Epoch 49/9999, Iter 4860: Loss = 0.009061570279300213, lr = [0.0001] +[2024-05-20 12:40:03,284] - INFO: Epoch 49/9999, Iter 4880: Loss = 0.018774989992380142, lr = [0.0001] +[2024-05-20 12:40:19,161] - INFO: Epoch 50/9999, Iter 4900: Loss = 0.008869885466992855, lr = [0.0001] +[2024-05-20 12:40:33,986] - INFO: Epoch 50/9999, Iter 4920: Loss = 0.020449122413992882, lr = [0.0001] +[2024-05-20 12:40:48,704] - INFO: Epoch 50/9999, Iter 4940: Loss = 0.00974741019308567, lr = [0.0001] +[2024-05-20 12:41:03,506] - INFO: Epoch 50/9999, Iter 4960: Loss = 0.013333343900740147, lr = [0.0001] +[2024-05-20 12:41:18,209] - INFO: Epoch 50/9999, Iter 4980: Loss = 0.01310424879193306, lr = [0.0001] +[2024-05-20 12:41:32,616] - INFO: Evaluate at epoch 50! +[2024-05-20 12:42:20,025] - INFO: Eval PSNR (max): 37.030 (50) SSIM (max): 0.9562 (40) +[2024-05-20 12:42:20,026] - INFO: Eval PSNR (current): 37.030 (50) SSIM (current): 0.9547 (50) +[2024-05-20 12:42:20,026] - INFO: Evaluation over. +[2024-05-20 12:43:04,220] - INFO: Epoch 51/9999, Iter 5000: Loss = 0.020382454618811607, lr = [0.0001] +[2024-05-20 12:43:18,622] - INFO: Epoch 51/9999, Iter 5020: Loss = 0.008436216972768307, lr = [0.0001] +[2024-05-20 12:43:33,014] - INFO: Epoch 51/9999, Iter 5040: Loss = 0.011404585093259811, lr = [0.0001] +[2024-05-20 12:43:47,430] - INFO: Epoch 51/9999, Iter 5060: Loss = 0.021414758637547493, lr = [0.0001] +[2024-05-20 12:44:01,836] - INFO: Epoch 51/9999, Iter 5080: Loss = 0.020304249599575996, lr = [0.0001] +[2024-05-20 12:44:17,628] - INFO: Epoch 52/9999, Iter 5100: Loss = 0.01834392361342907, lr = [0.0001] +[2024-05-20 12:44:32,340] - INFO: Epoch 52/9999, Iter 5120: Loss = 0.009486456401646137, lr = [0.0001] +[2024-05-20 12:44:46,802] - INFO: Epoch 52/9999, Iter 5140: Loss = 0.016511447727680206, lr = [0.0001] +[2024-05-20 12:45:01,260] - INFO: Epoch 52/9999, Iter 5160: Loss = 0.01263826247304678, lr = [0.0001] +[2024-05-20 12:45:15,854] - INFO: Epoch 52/9999, Iter 5180: Loss = 0.02429049089550972, lr = [0.0001] +[2024-05-20 12:45:31,802] - INFO: Epoch 53/9999, Iter 5200: Loss = 0.025635285302996635, lr = [0.0001] +[2024-05-20 12:45:46,344] - INFO: Epoch 53/9999, Iter 5220: Loss = 0.0155105609446764, lr = [0.0001] +[2024-05-20 12:46:00,890] - INFO: Epoch 53/9999, Iter 5240: Loss = 0.010360204614698887, lr = [0.0001] +[2024-05-20 12:46:15,461] - INFO: Epoch 53/9999, Iter 5260: Loss = 0.015391198918223381, lr = [0.0001] +[2024-05-20 12:46:30,116] - INFO: Epoch 53/9999, Iter 5280: Loss = 0.017851533368229866, lr = [0.0001] +[2024-05-20 12:46:46,024] - INFO: Epoch 54/9999, Iter 5300: Loss = 0.017657659947872162, lr = [0.0001] +[2024-05-20 12:47:00,692] - INFO: Epoch 54/9999, Iter 5320: Loss = 0.013640516437590122, lr = [0.0001] +[2024-05-20 12:47:15,361] - INFO: Epoch 54/9999, Iter 5340: Loss = 0.01226674485951662, lr = [0.0001] +[2024-05-20 12:47:30,010] - INFO: Epoch 54/9999, Iter 5360: Loss = 0.015993991866707802, lr = [0.0001] +[2024-05-20 12:47:44,714] - INFO: Epoch 54/9999, Iter 5380: Loss = 0.00882300641387701, lr = [0.0001] +[2024-05-20 12:48:00,739] - INFO: Epoch 55/9999, Iter 5400: Loss = 0.01421123743057251, lr = [0.0001] +[2024-05-20 12:48:15,524] - INFO: Epoch 55/9999, Iter 5420: Loss = 0.017628494650125504, lr = [0.0001] +[2024-05-20 12:48:30,320] - INFO: Epoch 55/9999, Iter 5440: Loss = 0.014786987565457821, lr = [0.0001] +[2024-05-20 12:48:45,126] - INFO: Epoch 55/9999, Iter 5460: Loss = 0.008464857004582882, lr = [0.0001] +[2024-05-20 12:48:59,870] - INFO: Epoch 55/9999, Iter 5480: Loss = 0.009726474061608315, lr = [0.0001] +[2024-05-20 12:49:14,258] - INFO: Evaluate at epoch 55! +[2024-05-20 12:50:44,290] - INFO: Eval PSNR (max): 37.153 (55) SSIM (max): 0.9570 (55) +[2024-05-20 12:50:44,291] - INFO: Eval PSNR (current): 37.153 (55) SSIM (current): 0.9570 (55) +[2024-05-20 12:50:44,291] - INFO: Evaluation over. +[2024-05-20 12:51:28,505] - INFO: Epoch 56/9999, Iter 5500: Loss = 0.01876363530755043, lr = [0.0001] +[2024-05-20 12:51:42,796] - INFO: Epoch 56/9999, Iter 5520: Loss = 0.012759802863001823, lr = [0.0001] +[2024-05-20 12:51:57,224] - INFO: Epoch 56/9999, Iter 5540: Loss = 0.011981988325715065, lr = [0.0001] +[2024-05-20 12:52:11,646] - INFO: Epoch 56/9999, Iter 5560: Loss = 0.015285438857972622, lr = [0.0001] +[2024-05-20 12:52:26,055] - INFO: Epoch 56/9999, Iter 5580: Loss = 0.012454872019588947, lr = [0.0001] +[2024-05-20 12:52:41,873] - INFO: Epoch 57/9999, Iter 5600: Loss = 0.013470897451043129, lr = [0.0001] +[2024-05-20 12:52:56,364] - INFO: Epoch 57/9999, Iter 5620: Loss = 0.009000852704048157, lr = [0.0001] +[2024-05-20 12:53:10,821] - INFO: Epoch 57/9999, Iter 5640: Loss = 0.029263384640216827, lr = [0.0001] +[2024-05-20 12:53:25,283] - INFO: Epoch 57/9999, Iter 5660: Loss = 0.0254192054271698, lr = [0.0001] +[2024-05-20 12:53:39,782] - INFO: Epoch 57/9999, Iter 5680: Loss = 0.0061768703162670135, lr = [0.0001] +[2024-05-20 12:53:55,720] - INFO: Epoch 58/9999, Iter 5700: Loss = 0.014844768680632114, lr = [0.0001] +[2024-05-20 12:54:10,287] - INFO: Epoch 58/9999, Iter 5720: Loss = 0.011369413696229458, lr = [0.0001] +[2024-05-20 12:54:24,848] - INFO: Epoch 58/9999, Iter 5740: Loss = 0.028714604675769806, lr = [0.0001] +[2024-05-20 12:54:39,467] - INFO: Epoch 58/9999, Iter 5760: Loss = 0.2040518969297409, lr = [0.0001] +[2024-05-20 12:54:54,077] - INFO: Epoch 58/9999, Iter 5780: Loss = 0.19441840052604675, lr = [0.0001] +[2024-05-20 12:55:10,091] - INFO: Epoch 59/9999, Iter 5800: Loss = 0.07103390246629715, lr = [0.0001] +[2024-05-20 12:55:24,771] - INFO: Epoch 59/9999, Iter 5820: Loss = 0.036940593272447586, lr = [0.0001] +[2024-05-20 12:55:39,440] - INFO: Epoch 59/9999, Iter 5840: Loss = 0.02758142724633217, lr = [0.0001] +[2024-05-20 12:55:54,060] - INFO: Epoch 59/9999, Iter 5860: Loss = 0.041592177003622055, lr = [0.0001] +[2024-05-20 12:56:08,722] - INFO: Epoch 59/9999, Iter 5880: Loss = 0.018442140892148018, lr = [0.0001] +[2024-05-20 12:56:24,753] - INFO: Epoch 60/9999, Iter 5900: Loss = 0.027317499741911888, lr = [0.0001] +[2024-05-20 12:56:39,543] - INFO: Epoch 60/9999, Iter 5920: Loss = 0.015631455928087234, lr = [0.0001] +[2024-05-20 12:56:54,315] - INFO: Epoch 60/9999, Iter 5940: Loss = 0.023342985659837723, lr = [0.0001] +[2024-05-20 12:57:09,060] - INFO: Epoch 60/9999, Iter 5960: Loss = 0.01819724030792713, lr = [0.0001] +[2024-05-20 12:57:23,780] - INFO: Epoch 60/9999, Iter 5980: Loss = 0.01814287342131138, lr = [0.0001] +[2024-05-20 12:57:38,238] - INFO: Evaluate at epoch 60! +[2024-05-20 12:57:42,936] - INFO: Eval PSNR (max): 37.153 (55) SSIM (max): 0.9570 (55) +[2024-05-20 12:57:42,936] - INFO: Eval PSNR (current): 36.948 (60) SSIM (current): 0.9551 (60) +[2024-05-20 12:57:42,936] - INFO: Evaluation over. +[2024-05-20 12:58:27,506] - INFO: Epoch 61/9999, Iter 6000: Loss = 0.012644054368138313, lr = [0.0001] +[2024-05-20 12:58:42,018] - INFO: Epoch 61/9999, Iter 6020: Loss = 0.020862217992544174, lr = [0.0001] +[2024-05-20 12:58:56,631] - INFO: Epoch 61/9999, Iter 6040: Loss = 0.016702093183994293, lr = [0.0001] +[2024-05-20 12:59:11,185] - INFO: Epoch 61/9999, Iter 6060: Loss = 0.018679741770029068, lr = [0.0001] +[2024-05-20 12:59:25,657] - INFO: Epoch 61/9999, Iter 6080: Loss = 0.01694636605679989, lr = [0.0001] +[2024-05-20 12:59:41,348] - INFO: Epoch 62/9999, Iter 6100: Loss = 0.021895121783018112, lr = [0.0001] +[2024-05-20 12:59:55,863] - INFO: Epoch 62/9999, Iter 6120: Loss = 0.01205283310264349, lr = [0.0001] +[2024-05-20 13:00:10,328] - INFO: Epoch 62/9999, Iter 6140: Loss = 0.01847132109105587, lr = [0.0001] +[2024-05-20 13:00:24,891] - INFO: Epoch 62/9999, Iter 6160: Loss = 0.015222211368381977, lr = [0.0001] +[2024-05-20 13:00:39,525] - INFO: Epoch 62/9999, Iter 6180: Loss = 0.014856323599815369, lr = [0.0001] +[2024-05-20 13:00:57,100] - INFO: Epoch 63/9999, Iter 6200: Loss = 0.019322704523801804, lr = [0.0001] +[2024-05-20 13:01:11,757] - INFO: Epoch 63/9999, Iter 6220: Loss = 0.017818095162510872, lr = [0.0001] +[2024-05-20 13:01:26,435] - INFO: Epoch 63/9999, Iter 6240: Loss = 0.016901599243283272, lr = [0.0001] +[2024-05-20 13:01:41,180] - INFO: Epoch 63/9999, Iter 6260: Loss = 0.026765301823616028, lr = [0.0001] +[2024-05-20 13:01:55,868] - INFO: Epoch 63/9999, Iter 6280: Loss = 0.017444023862481117, lr = [0.0001] +[2024-05-20 13:02:11,755] - INFO: Epoch 64/9999, Iter 6300: Loss = 0.029005439952015877, lr = [0.0001] +[2024-05-20 13:02:26,531] - INFO: Epoch 64/9999, Iter 6320: Loss = 0.011658481322228909, lr = [0.0001] +[2024-05-20 13:02:41,371] - INFO: Epoch 64/9999, Iter 6340: Loss = 0.012710511684417725, lr = [0.0001] +[2024-05-20 13:02:56,060] - INFO: Epoch 64/9999, Iter 6360: Loss = 0.016412731260061264, lr = [0.0001] +[2024-05-20 13:03:10,798] - INFO: Epoch 64/9999, Iter 6380: Loss = 0.010262426920235157, lr = [0.0001] +[2024-05-20 13:03:26,967] - INFO: Epoch 65/9999, Iter 6400: Loss = 0.017401326447725296, lr = [0.0001] +[2024-05-20 13:03:41,971] - INFO: Epoch 65/9999, Iter 6420: Loss = 0.02245093695819378, lr = [0.0001] +[2024-05-20 13:03:56,746] - INFO: Epoch 65/9999, Iter 6440: Loss = 0.012799866497516632, lr = [0.0001] +[2024-05-20 13:04:11,547] - INFO: Epoch 65/9999, Iter 6460: Loss = 0.011304380372166634, lr = [0.0001] +[2024-05-20 13:04:26,328] - INFO: Epoch 65/9999, Iter 6480: Loss = 0.020400233566761017, lr = [0.0001] +[2024-05-20 13:04:40,803] - INFO: Evaluate at epoch 65! +[2024-05-20 13:06:11,211] - INFO: Eval PSNR (max): 37.232 (65) SSIM (max): 0.9570 (65) +[2024-05-20 13:06:11,212] - INFO: Eval PSNR (current): 37.232 (65) SSIM (current): 0.9570 (65) +[2024-05-20 13:06:11,212] - INFO: Evaluation over. +[2024-05-20 13:06:55,620] - INFO: Epoch 66/9999, Iter 6500: Loss = 0.008314901031553745, lr = [0.0001] +[2024-05-20 13:07:09,877] - INFO: Epoch 66/9999, Iter 6520: Loss = 0.01478536520153284, lr = [0.0001] +[2024-05-20 13:07:24,192] - INFO: Epoch 66/9999, Iter 6540: Loss = 0.013503567315638065, lr = [0.0001] +[2024-05-20 13:07:38,543] - INFO: Epoch 66/9999, Iter 6560: Loss = 0.015851864591240883, lr = [0.0001] +[2024-05-20 13:07:52,978] - INFO: Epoch 66/9999, Iter 6580: Loss = 0.023112203925848007, lr = [0.0001] +[2024-05-20 13:08:08,604] - INFO: Epoch 67/9999, Iter 6600: Loss = 0.028511691838502884, lr = [0.0001] +[2024-05-20 13:08:23,184] - INFO: Epoch 67/9999, Iter 6620: Loss = 0.008664886467158794, lr = [0.0001] +[2024-05-20 13:08:37,658] - INFO: Epoch 67/9999, Iter 6640: Loss = 0.024062560871243477, lr = [0.0001] +[2024-05-20 13:08:52,119] - INFO: Epoch 67/9999, Iter 6660: Loss = 0.01791525073349476, lr = [0.0001] +[2024-05-20 13:09:06,588] - INFO: Epoch 67/9999, Iter 6680: Loss = 0.017430895939469337, lr = [0.0001] +[2024-05-20 13:09:22,250] - INFO: Epoch 68/9999, Iter 6700: Loss = 0.011605298146605492, lr = [0.0001] +[2024-05-20 13:09:36,867] - INFO: Epoch 68/9999, Iter 6720: Loss = 0.01102477964013815, lr = [0.0001] +[2024-05-20 13:09:51,533] - INFO: Epoch 68/9999, Iter 6740: Loss = 0.011034930124878883, lr = [0.0001] +[2024-05-20 13:10:06,175] - INFO: Epoch 68/9999, Iter 6760: Loss = 0.01694629155099392, lr = [0.0001] +[2024-05-20 13:10:20,941] - INFO: Epoch 68/9999, Iter 6780: Loss = 0.014206292107701302, lr = [0.0001] +[2024-05-20 13:10:36,797] - INFO: Epoch 69/9999, Iter 6800: Loss = 0.024360133334994316, lr = [0.0001] +[2024-05-20 13:10:51,575] - INFO: Epoch 69/9999, Iter 6820: Loss = 0.015298358164727688, lr = [0.0001] +[2024-05-20 13:11:06,224] - INFO: Epoch 69/9999, Iter 6840: Loss = 0.032439447939395905, lr = [0.0001] +[2024-05-20 13:11:20,863] - INFO: Epoch 69/9999, Iter 6860: Loss = 0.015061473473906517, lr = [0.0001] +[2024-05-20 13:11:35,543] - INFO: Epoch 69/9999, Iter 6880: Loss = 0.022543931379914284, lr = [0.0001] +[2024-05-20 13:11:51,482] - INFO: Epoch 70/9999, Iter 6900: Loss = 0.021591296419501305, lr = [0.0001] +[2024-05-20 13:12:06,310] - INFO: Epoch 70/9999, Iter 6920: Loss = 0.007290195673704147, lr = [0.0001] +[2024-05-20 13:12:21,024] - INFO: Epoch 70/9999, Iter 6940: Loss = 0.015450665727257729, lr = [0.0001] +[2024-05-20 13:12:35,632] - INFO: Epoch 70/9999, Iter 6960: Loss = 0.018855810165405273, lr = [0.0001] +[2024-05-20 13:12:50,340] - INFO: Epoch 70/9999, Iter 6980: Loss = 0.007304205559194088, lr = [0.0001] +[2024-05-20 13:13:57,734] - INFO: Evaluate at epoch 70! +[2024-05-20 13:14:45,182] - INFO: Eval PSNR (max): 37.263 (70) SSIM (max): 0.9570 (65) +[2024-05-20 13:14:45,182] - INFO: Eval PSNR (current): 37.263 (70) SSIM (current): 0.9570 (70) +[2024-05-20 13:14:45,182] - INFO: Evaluation over. +[2024-05-20 13:15:52,454] - INFO: Epoch 71/9999, Iter 7000: Loss = 0.013889584690332413, lr = [0.0001] +[2024-05-20 13:16:06,720] - INFO: Epoch 71/9999, Iter 7020: Loss = 0.026136133819818497, lr = [0.0001] +[2024-05-20 13:16:21,071] - INFO: Epoch 71/9999, Iter 7040: Loss = 0.018066277727484703, lr = [0.0001] +[2024-05-20 13:16:35,360] - INFO: Epoch 71/9999, Iter 7060: Loss = 0.008632936514914036, lr = [0.0001] +[2024-05-20 13:16:49,760] - INFO: Epoch 71/9999, Iter 7080: Loss = 0.02632443979382515, lr = [0.0001] +[2024-05-20 13:17:05,439] - INFO: Epoch 72/9999, Iter 7100: Loss = 0.016520021483302116, lr = [0.0001] +[2024-05-20 13:17:19,928] - INFO: Epoch 72/9999, Iter 7120: Loss = 0.01586345210671425, lr = [0.0001] +[2024-05-20 13:17:34,420] - INFO: Epoch 72/9999, Iter 7140: Loss = 0.01712641306221485, lr = [0.0001] +[2024-05-20 13:17:48,850] - INFO: Epoch 72/9999, Iter 7160: Loss = 0.016603685915470123, lr = [0.0001] +[2024-05-20 13:18:03,331] - INFO: Epoch 72/9999, Iter 7180: Loss = 0.013749509118497372, lr = [0.0001] +[2024-05-20 13:18:18,935] - INFO: Epoch 73/9999, Iter 7200: Loss = 0.013065607286989689, lr = [0.0001] +[2024-05-20 13:18:33,471] - INFO: Epoch 73/9999, Iter 7220: Loss = 0.025761473923921585, lr = [0.0001] +[2024-05-20 13:18:47,980] - INFO: Epoch 73/9999, Iter 7240: Loss = 0.019032659009099007, lr = [0.0001] +[2024-05-20 13:19:02,568] - INFO: Epoch 73/9999, Iter 7260: Loss = 0.019297117367386818, lr = [0.0001] +[2024-05-20 13:19:17,170] - INFO: Epoch 73/9999, Iter 7280: Loss = 0.01569894328713417, lr = [0.0001] +[2024-05-20 13:19:33,022] - INFO: Epoch 74/9999, Iter 7300: Loss = 0.03081878460943699, lr = [0.0001] +[2024-05-20 13:19:48,152] - INFO: Epoch 74/9999, Iter 7320: Loss = 0.009392335079610348, lr = [0.0001] +[2024-05-20 13:20:02,875] - INFO: Epoch 74/9999, Iter 7340: Loss = 0.015663212165236473, lr = [0.0001] +[2024-05-20 13:20:17,512] - INFO: Epoch 74/9999, Iter 7360: Loss = 0.013605433516204357, lr = [0.0001] +[2024-05-20 13:20:32,218] - INFO: Epoch 74/9999, Iter 7380: Loss = 0.012468158267438412, lr = [0.0001] +[2024-05-20 13:20:48,247] - INFO: Epoch 75/9999, Iter 7400: Loss = 0.024362817406654358, lr = [0.0001] +[2024-05-20 13:21:03,268] - INFO: Epoch 75/9999, Iter 7420: Loss = 0.008530773222446442, lr = [0.0001] +[2024-05-20 13:21:17,995] - INFO: Epoch 75/9999, Iter 7440: Loss = 0.015272815711796284, lr = [0.0001] +[2024-05-20 13:21:32,738] - INFO: Epoch 75/9999, Iter 7460: Loss = 0.02051372453570366, lr = [0.0001] +[2024-05-20 13:21:48,956] - INFO: Epoch 75/9999, Iter 7480: Loss = 0.018548712134361267, lr = [0.0001] +[2024-05-20 13:22:03,343] - INFO: Evaluate at epoch 75! +[2024-05-20 13:25:07,376] - INFO: Eval PSNR (max): 37.263 (70) SSIM (max): 0.9577 (75) +[2024-05-20 13:25:07,385] - INFO: Eval PSNR (current): 37.250 (75) SSIM (current): 0.9577 (75) +[2024-05-20 13:25:07,385] - INFO: Evaluation over. +[2024-05-20 13:25:51,960] - INFO: Epoch 76/9999, Iter 7500: Loss = 0.023076476529240608, lr = [0.0001] +[2024-05-20 13:26:06,299] - INFO: Epoch 76/9999, Iter 7520: Loss = 0.021100793033838272, lr = [0.0001] +[2024-05-20 13:26:20,586] - INFO: Epoch 76/9999, Iter 7540: Loss = 0.02389105223119259, lr = [0.0001] +[2024-05-20 13:26:34,888] - INFO: Epoch 76/9999, Iter 7560: Loss = 0.011369794607162476, lr = [0.0001] +[2024-05-20 13:26:49,220] - INFO: Epoch 76/9999, Iter 7580: Loss = 0.02131596952676773, lr = [0.0001] +[2024-05-20 13:27:04,716] - INFO: Epoch 77/9999, Iter 7600: Loss = 0.012921293266117573, lr = [0.0001] +[2024-05-20 13:27:19,210] - INFO: Epoch 77/9999, Iter 7620: Loss = 0.017011696472764015, lr = [0.0001] +[2024-05-20 13:27:33,655] - INFO: Epoch 77/9999, Iter 7640: Loss = 0.011468837037682533, lr = [0.0001] +[2024-05-20 13:27:48,144] - INFO: Epoch 77/9999, Iter 7660: Loss = 0.013665322214365005, lr = [0.0001] +[2024-05-20 13:28:02,618] - INFO: Epoch 77/9999, Iter 7680: Loss = 0.02095361053943634, lr = [0.0001] +[2024-05-20 13:28:18,416] - INFO: Epoch 78/9999, Iter 7700: Loss = 0.012124583125114441, lr = [0.0001] +[2024-05-20 13:28:32,995] - INFO: Epoch 78/9999, Iter 7720: Loss = 0.018925808370113373, lr = [0.0001] +[2024-05-20 13:28:47,488] - INFO: Epoch 78/9999, Iter 7740: Loss = 0.013262659311294556, lr = [0.0001] +[2024-05-20 13:29:01,987] - INFO: Epoch 78/9999, Iter 7760: Loss = 0.01804094947874546, lr = [0.0001] +[2024-05-20 13:29:16,539] - INFO: Epoch 78/9999, Iter 7780: Loss = 0.01177710760384798, lr = [0.0001] +[2024-05-20 13:29:32,432] - INFO: Epoch 79/9999, Iter 7800: Loss = 0.016646824777126312, lr = [0.0001] +[2024-05-20 13:29:47,094] - INFO: Epoch 79/9999, Iter 7820: Loss = 0.012726645916700363, lr = [0.0001] +[2024-05-20 13:30:01,727] - INFO: Epoch 79/9999, Iter 7840: Loss = 0.010342060588300228, lr = [0.0001] +[2024-05-20 13:30:16,376] - INFO: Epoch 79/9999, Iter 7860: Loss = 0.022341931238770485, lr = [0.0001] +[2024-05-20 13:30:31,108] - INFO: Epoch 79/9999, Iter 7880: Loss = 0.017837347462773323, lr = [0.0001] +[2024-05-20 13:30:47,017] - INFO: Epoch 80/9999, Iter 7900: Loss = 0.021252408623695374, lr = [0.0001] +[2024-05-20 13:31:01,762] - INFO: Epoch 80/9999, Iter 7920: Loss = 0.013391495682299137, lr = [0.0001] +[2024-05-20 13:31:16,548] - INFO: Epoch 80/9999, Iter 7940: Loss = 0.022434428334236145, lr = [0.0001] +[2024-05-20 13:31:31,357] - INFO: Epoch 80/9999, Iter 7960: Loss = 0.016719402745366096, lr = [0.0001] +[2024-05-20 13:31:46,088] - INFO: Epoch 80/9999, Iter 7980: Loss = 0.009824076667428017, lr = [0.0001] +[2024-05-20 13:32:00,486] - INFO: Evaluate at epoch 80! +[2024-05-20 13:33:39,348] - INFO: Eval PSNR (max): 37.356 (80) SSIM (max): 0.9581 (80) +[2024-05-20 13:33:39,349] - INFO: Eval PSNR (current): 37.356 (80) SSIM (current): 0.9581 (80) +[2024-05-20 13:33:39,349] - INFO: Evaluation over. +[2024-05-20 13:34:24,208] - INFO: Epoch 81/9999, Iter 8000: Loss = 0.018523814156651497, lr = [0.0001] +[2024-05-20 13:34:38,493] - INFO: Epoch 81/9999, Iter 8020: Loss = 0.008189828135073185, lr = [0.0001] +[2024-05-20 13:34:52,756] - INFO: Epoch 81/9999, Iter 8040: Loss = 0.01540899183601141, lr = [0.0001] +[2024-05-20 13:35:07,119] - INFO: Epoch 81/9999, Iter 8060: Loss = 0.021441008895635605, lr = [0.0001] +[2024-05-20 13:35:21,568] - INFO: Epoch 81/9999, Iter 8080: Loss = 0.011852705851197243, lr = [0.0001] +[2024-05-20 13:35:37,259] - INFO: Epoch 82/9999, Iter 8100: Loss = 0.019721733406186104, lr = [0.0001] +[2024-05-20 13:35:51,791] - INFO: Epoch 82/9999, Iter 8120: Loss = 0.024852359667420387, lr = [0.0001] +[2024-05-20 13:36:06,231] - INFO: Epoch 82/9999, Iter 8140: Loss = 0.014712141826748848, lr = [0.0001] +[2024-05-20 13:36:20,712] - INFO: Epoch 82/9999, Iter 8160: Loss = 0.01490583922713995, lr = [0.0001] +[2024-05-20 13:36:35,336] - INFO: Epoch 82/9999, Iter 8180: Loss = 0.00962152425199747, lr = [0.0001] +[2024-05-20 13:36:51,221] - INFO: Epoch 83/9999, Iter 8200: Loss = 0.012877343222498894, lr = [0.0001] +[2024-05-20 13:37:05,848] - INFO: Epoch 83/9999, Iter 8220: Loss = 0.01987633667886257, lr = [0.0001] +[2024-05-20 13:37:20,481] - INFO: Epoch 83/9999, Iter 8240: Loss = 0.011862879619002342, lr = [0.0001] +[2024-05-20 13:37:35,078] - INFO: Epoch 83/9999, Iter 8260: Loss = 0.014510655775666237, lr = [0.0001] +[2024-05-20 13:37:49,730] - INFO: Epoch 83/9999, Iter 8280: Loss = 0.011941615492105484, lr = [0.0001] +[2024-05-20 13:38:05,620] - INFO: Epoch 84/9999, Iter 8300: Loss = 0.015055662952363491, lr = [0.0001] +[2024-05-20 13:38:20,327] - INFO: Epoch 84/9999, Iter 8320: Loss = 0.016023734584450722, lr = [0.0001] +[2024-05-20 13:38:34,942] - INFO: Epoch 84/9999, Iter 8340: Loss = 0.012705248780548573, lr = [0.0001] +[2024-05-20 13:38:49,608] - INFO: Epoch 84/9999, Iter 8360: Loss = 0.013515764847397804, lr = [0.0001] +[2024-05-20 13:39:04,273] - INFO: Epoch 84/9999, Iter 8380: Loss = 0.022928019985556602, lr = [0.0001] +[2024-05-20 13:39:19,872] - INFO: Epoch 85/9999, Iter 8400: Loss = 0.009493503719568253, lr = [0.0001] +[2024-05-20 13:39:34,650] - INFO: Epoch 85/9999, Iter 8420: Loss = 0.019016362726688385, lr = [0.0001] +[2024-05-20 13:39:49,380] - INFO: Epoch 85/9999, Iter 8440: Loss = 0.011902661062777042, lr = [0.0001] +[2024-05-20 13:40:04,009] - INFO: Epoch 85/9999, Iter 8460: Loss = 0.013949326239526272, lr = [0.0001] +[2024-05-20 13:40:18,664] - INFO: Epoch 85/9999, Iter 8480: Loss = 0.016397718340158463, lr = [0.0001] +[2024-05-20 13:40:32,954] - INFO: Evaluate at epoch 85! +[2024-05-20 13:41:20,431] - INFO: Eval PSNR (max): 37.357 (85) SSIM (max): 0.9581 (80) +[2024-05-20 13:41:20,431] - INFO: Eval PSNR (current): 37.357 (85) SSIM (current): 0.9578 (85) +[2024-05-20 13:41:20,431] - INFO: Evaluation over. +[2024-05-20 13:42:04,552] - INFO: Epoch 86/9999, Iter 8500: Loss = 0.017022084444761276, lr = [0.0001] +[2024-05-20 13:42:18,918] - INFO: Epoch 86/9999, Iter 8520: Loss = 0.012759906239807606, lr = [0.0001] +[2024-05-20 13:42:35,116] - INFO: Epoch 86/9999, Iter 8540: Loss = 0.009420226328074932, lr = [0.0001] +[2024-05-20 13:42:49,498] - INFO: Epoch 86/9999, Iter 8560: Loss = 0.011591555550694466, lr = [0.0001] +[2024-05-20 13:43:03,909] - INFO: Epoch 86/9999, Iter 8580: Loss = 0.014053555205464363, lr = [0.0001] +[2024-05-20 13:43:19,436] - INFO: Epoch 87/9999, Iter 8600: Loss = 0.010243300348520279, lr = [0.0001] +[2024-05-20 13:43:33,832] - INFO: Epoch 87/9999, Iter 8620: Loss = 0.01649688556790352, lr = [0.0001] +[2024-05-20 13:43:48,322] - INFO: Epoch 87/9999, Iter 8640: Loss = 0.01911531575024128, lr = [0.0001] +[2024-05-20 13:44:02,756] - INFO: Epoch 87/9999, Iter 8660: Loss = 0.01048356108367443, lr = [0.0001] +[2024-05-20 13:44:17,226] - INFO: Epoch 87/9999, Iter 8680: Loss = 0.017703654244542122, lr = [0.0001] +[2024-05-20 13:44:32,868] - INFO: Epoch 88/9999, Iter 8700: Loss = 0.014517201110720634, lr = [0.0001] +[2024-05-20 13:44:47,423] - INFO: Epoch 88/9999, Iter 8720: Loss = 0.008282743394374847, lr = [0.0001] +[2024-05-20 13:45:01,956] - INFO: Epoch 88/9999, Iter 8740: Loss = 0.014595168642699718, lr = [0.0001] +[2024-05-20 13:45:16,557] - INFO: Epoch 88/9999, Iter 8760: Loss = 0.01245839986950159, lr = [0.0001] +[2024-05-20 13:45:31,162] - INFO: Epoch 88/9999, Iter 8780: Loss = 0.009403799660503864, lr = [0.0001] +[2024-05-20 13:45:47,176] - INFO: Epoch 89/9999, Iter 8800: Loss = 0.015924934297800064, lr = [0.0001] +[2024-05-20 13:46:01,898] - INFO: Epoch 89/9999, Iter 8820: Loss = 0.011073125526309013, lr = [0.0001] +[2024-05-20 13:46:16,577] - INFO: Epoch 89/9999, Iter 8840: Loss = 0.012814830988645554, lr = [0.0001] +[2024-05-20 13:46:31,368] - INFO: Epoch 89/9999, Iter 8860: Loss = 0.013180959969758987, lr = [0.0001] +[2024-05-20 13:46:46,080] - INFO: Epoch 89/9999, Iter 8880: Loss = 0.013262919150292873, lr = [0.0001] +[2024-05-20 13:47:01,968] - INFO: Epoch 90/9999, Iter 8900: Loss = 0.024208392947912216, lr = [0.0001] +[2024-05-20 13:47:16,760] - INFO: Epoch 90/9999, Iter 8920: Loss = 0.01907946541905403, lr = [0.0001] +[2024-05-20 13:47:31,595] - INFO: Epoch 90/9999, Iter 8940: Loss = 0.020409487187862396, lr = [0.0001] +[2024-05-20 13:47:46,341] - INFO: Epoch 90/9999, Iter 8960: Loss = 0.008443988859653473, lr = [0.0001] +[2024-05-20 13:48:01,129] - INFO: Epoch 90/9999, Iter 8980: Loss = 0.02889791689813137, lr = [0.0001] +[2024-05-20 13:48:15,552] - INFO: Evaluate at epoch 90! +[2024-05-20 13:48:20,439] - INFO: Eval PSNR (max): 37.357 (85) SSIM (max): 0.9581 (80) +[2024-05-20 13:48:20,439] - INFO: Eval PSNR (current): 37.295 (90) SSIM (current): 0.9570 (90) +[2024-05-20 13:48:20,439] - INFO: Evaluation over. +[2024-05-20 13:49:04,508] - INFO: Epoch 91/9999, Iter 9000: Loss = 0.013861243613064289, lr = [0.0001] +[2024-05-20 13:49:19,076] - INFO: Epoch 91/9999, Iter 9020: Loss = 0.007854693569242954, lr = [0.0001] +[2024-05-20 13:49:33,589] - INFO: Epoch 91/9999, Iter 9040: Loss = 0.010455752722918987, lr = [0.0001] +[2024-05-20 13:49:48,193] - INFO: Epoch 91/9999, Iter 9060: Loss = 0.021195342764258385, lr = [0.0001] +[2024-05-20 13:50:02,690] - INFO: Epoch 91/9999, Iter 9080: Loss = 0.015881216153502464, lr = [0.0001] +[2024-05-20 13:50:18,652] - INFO: Epoch 92/9999, Iter 9100: Loss = 0.01584741845726967, lr = [0.0001] +[2024-05-20 13:50:33,171] - INFO: Epoch 92/9999, Iter 9120: Loss = 0.00544526195153594, lr = [0.0001] +[2024-05-20 13:50:47,649] - INFO: Epoch 92/9999, Iter 9140: Loss = 0.014321573078632355, lr = [0.0001] +[2024-05-20 13:51:02,244] - INFO: Epoch 92/9999, Iter 9160: Loss = 0.017665404826402664, lr = [0.0001] +[2024-05-20 13:51:16,871] - INFO: Epoch 92/9999, Iter 9180: Loss = 0.007391088642179966, lr = [0.0001] +[2024-05-20 13:51:32,776] - INFO: Epoch 93/9999, Iter 9200: Loss = 0.014760725200176239, lr = [0.0001] +[2024-05-20 13:51:47,476] - INFO: Epoch 93/9999, Iter 9220: Loss = 0.01240032073110342, lr = [0.0001] +[2024-05-20 13:52:02,117] - INFO: Epoch 93/9999, Iter 9240: Loss = 0.01928100176155567, lr = [0.0001] +[2024-05-20 13:52:22,624] - INFO: Epoch 93/9999, Iter 9260: Loss = 0.019984398037195206, lr = [0.0001] +[2024-05-20 13:52:45,239] - INFO: Epoch 93/9999, Iter 9280: Loss = 0.012673690915107727, lr = [0.0001] +[2024-05-20 13:53:16,959] - INFO: Epoch 94/9999, Iter 9300: Loss = 0.01605655625462532, lr = [0.0001] +[2024-05-20 13:53:33,176] - INFO: Epoch 94/9999, Iter 9320: Loss = 0.012862838804721832, lr = [0.0001] +[2024-05-20 13:53:47,701] - INFO: Epoch 94/9999, Iter 9340: Loss = 0.013238846324384212, lr = [0.0001] +[2024-05-20 13:54:02,201] - INFO: Epoch 94/9999, Iter 9360: Loss = 0.021077705547213554, lr = [0.0001] +[2024-05-20 13:54:16,850] - INFO: Epoch 94/9999, Iter 9380: Loss = 0.02172563038766384, lr = [0.0001] +[2024-05-20 13:54:32,634] - INFO: Epoch 95/9999, Iter 9400: Loss = 0.017903853207826614, lr = [0.0001] +[2024-05-20 13:54:47,300] - INFO: Epoch 95/9999, Iter 9420: Loss = 0.014738263562321663, lr = [0.0001] +[2024-05-20 13:55:01,916] - INFO: Epoch 95/9999, Iter 9440: Loss = 0.010839609429240227, lr = [0.0001] +[2024-05-20 13:55:16,615] - INFO: Epoch 95/9999, Iter 9460: Loss = 0.012741612270474434, lr = [0.0001] +[2024-05-20 13:55:31,278] - INFO: Epoch 95/9999, Iter 9480: Loss = 0.01075753290206194, lr = [0.0001] +[2024-05-20 13:55:45,696] - INFO: Evaluate at epoch 95! +[2024-05-20 13:55:50,507] - INFO: Eval PSNR (max): 37.357 (85) SSIM (max): 0.9581 (80) +[2024-05-20 13:55:50,508] - INFO: Eval PSNR (current): 37.020 (95) SSIM (current): 0.9575 (95) +[2024-05-20 13:55:50,508] - INFO: Evaluation over. +[2024-05-20 13:56:34,802] - INFO: Epoch 96/9999, Iter 9500: Loss = 0.01440476719290018, lr = [0.0001] +[2024-05-20 13:56:49,209] - INFO: Epoch 96/9999, Iter 9520: Loss = 0.03225008398294449, lr = [0.0001] +[2024-05-20 13:57:03,693] - INFO: Epoch 96/9999, Iter 9540: Loss = 0.019534189254045486, lr = [0.0001] +[2024-05-20 13:57:18,147] - INFO: Epoch 96/9999, Iter 9560: Loss = 0.012626484036445618, lr = [0.0001] +[2024-05-20 13:57:32,849] - INFO: Epoch 96/9999, Iter 9580: Loss = 0.014109758660197258, lr = [0.0001] +[2024-05-20 13:57:48,668] - INFO: Epoch 97/9999, Iter 9600: Loss = 0.0154266357421875, lr = [0.0001] +[2024-05-20 13:58:03,224] - INFO: Epoch 97/9999, Iter 9620: Loss = 0.009578632190823555, lr = [0.0001] +[2024-05-20 13:58:17,806] - INFO: Epoch 97/9999, Iter 9640: Loss = 0.012387635186314583, lr = [0.0001] +[2024-05-20 13:58:32,345] - INFO: Epoch 97/9999, Iter 9660: Loss = 0.022283656522631645, lr = [0.0001] +[2024-05-20 13:58:46,961] - INFO: Epoch 97/9999, Iter 9680: Loss = 0.014242352917790413, lr = [0.0001] +[2024-05-20 13:59:02,902] - INFO: Epoch 98/9999, Iter 9700: Loss = 0.01127502042800188, lr = [0.0001] +[2024-05-20 13:59:17,583] - INFO: Epoch 98/9999, Iter 9720: Loss = 0.015903523191809654, lr = [0.0001] +[2024-05-20 13:59:32,288] - INFO: Epoch 98/9999, Iter 9740: Loss = 0.013927243649959564, lr = [0.0001] +[2024-05-20 13:59:47,032] - INFO: Epoch 98/9999, Iter 9760: Loss = 0.01552443578839302, lr = [0.0001] +[2024-05-20 14:00:01,755] - INFO: Epoch 98/9999, Iter 9780: Loss = 0.021571630612015724, lr = [0.0001] +[2024-05-20 14:00:17,788] - INFO: Epoch 99/9999, Iter 9800: Loss = 0.018491890281438828, lr = [0.0001] +[2024-05-20 14:00:32,561] - INFO: Epoch 99/9999, Iter 9820: Loss = 0.014476098120212555, lr = [0.0001] +[2024-05-20 14:00:47,245] - INFO: Epoch 99/9999, Iter 9840: Loss = 0.011527575552463531, lr = [0.0001] +[2024-05-20 14:01:01,867] - INFO: Epoch 99/9999, Iter 9860: Loss = 0.015732740983366966, lr = [0.0001] +[2024-05-20 14:01:16,539] - INFO: Epoch 99/9999, Iter 9880: Loss = 0.01989513449370861, lr = [0.0001] +[2024-05-20 14:01:32,312] - INFO: Epoch 100/9999, Iter 9900: Loss = 0.011354737915098667, lr = [0.0001] +[2024-05-20 14:01:47,031] - INFO: Epoch 100/9999, Iter 9920: Loss = 0.018145954236388206, lr = [0.0001] +[2024-05-20 14:02:01,713] - INFO: Epoch 100/9999, Iter 9940: Loss = 0.01657264493405819, lr = [0.0001] +[2024-05-20 14:02:16,398] - INFO: Epoch 100/9999, Iter 9960: Loss = 0.01007249765098095, lr = [0.0001] +[2024-05-20 14:02:31,157] - INFO: Epoch 100/9999, Iter 9980: Loss = 0.015018505044281483, lr = [0.0001] +[2024-05-20 14:02:45,521] - INFO: Evaluate at epoch 100! +[2024-05-20 14:03:32,885] - INFO: Eval PSNR (max): 37.357 (85) SSIM (max): 0.9584 (100) +[2024-05-20 14:03:32,885] - INFO: Eval PSNR (current): 37.192 (100) SSIM (current): 0.9584 (100) +[2024-05-20 14:03:32,885] - INFO: Evaluation over. +[2024-05-20 14:04:17,004] - INFO: Epoch 101/9999, Iter 10000: Loss = 0.012504211626946926, lr = [0.0001] +[2024-05-20 14:04:31,416] - INFO: Epoch 101/9999, Iter 10020: Loss = 0.01800425350666046, lr = [0.0001] +[2024-05-20 14:04:45,808] - INFO: Epoch 101/9999, Iter 10040: Loss = 0.01571638323366642, lr = [0.0001] +[2024-05-20 14:05:00,226] - INFO: Epoch 101/9999, Iter 10060: Loss = 0.02262677066028118, lr = [0.0001] +[2024-05-20 14:05:14,609] - INFO: Epoch 101/9999, Iter 10080: Loss = 0.02479006163775921, lr = [0.0001] +[2024-05-20 14:05:30,750] - INFO: Epoch 102/9999, Iter 10100: Loss = 0.007445825729519129, lr = [0.0001] +[2024-05-20 14:05:45,150] - INFO: Epoch 102/9999, Iter 10120: Loss = 0.022574491798877716, lr = [0.0001] +[2024-05-20 14:05:59,656] - INFO: Epoch 102/9999, Iter 10140: Loss = 0.01897563971579075, lr = [0.0001] +[2024-05-20 14:06:14,204] - INFO: Epoch 102/9999, Iter 10160: Loss = 0.01902911253273487, lr = [0.0001] +[2024-05-20 14:06:28,726] - INFO: Epoch 102/9999, Iter 10180: Loss = 0.02327113039791584, lr = [0.0001] +[2024-05-20 14:06:44,516] - INFO: Epoch 103/9999, Iter 10200: Loss = 0.013272047974169254, lr = [0.0001] +[2024-05-20 14:06:59,085] - INFO: Epoch 103/9999, Iter 10220: Loss = 0.021396556869149208, lr = [0.0001] +[2024-05-20 14:07:13,766] - INFO: Epoch 103/9999, Iter 10240: Loss = 0.012769759632647038, lr = [0.0001] +[2024-05-20 14:07:28,369] - INFO: Epoch 103/9999, Iter 10260: Loss = 0.019805574789643288, lr = [0.0001] +[2024-05-20 14:07:43,042] - INFO: Epoch 103/9999, Iter 10280: Loss = 0.016422854736447334, lr = [0.0001] +[2024-05-20 14:07:58,780] - INFO: Epoch 104/9999, Iter 10300: Loss = 0.013749383389949799, lr = [0.0001] +[2024-05-20 14:08:13,566] - INFO: Epoch 104/9999, Iter 10320: Loss = 0.011608711443841457, lr = [0.0001] +[2024-05-20 14:08:28,287] - INFO: Epoch 104/9999, Iter 10340: Loss = 0.013258431106805801, lr = [0.0001] +[2024-05-20 14:08:42,947] - INFO: Epoch 104/9999, Iter 10360: Loss = 0.010023169219493866, lr = [0.0001] +[2024-05-20 14:08:57,683] - INFO: Epoch 104/9999, Iter 10380: Loss = 0.007301666773855686, lr = [0.0001] +[2024-05-20 14:09:13,808] - INFO: Epoch 105/9999, Iter 10400: Loss = 0.014875120483338833, lr = [0.0001] +[2024-05-20 14:09:28,613] - INFO: Epoch 105/9999, Iter 10420: Loss = 0.010819035582244396, lr = [0.0001] +[2024-05-20 14:09:43,364] - INFO: Epoch 105/9999, Iter 10440: Loss = 0.011435742489993572, lr = [0.0001] +[2024-05-20 14:09:58,099] - INFO: Epoch 105/9999, Iter 10460: Loss = 0.013034317642450333, lr = [0.0001] +[2024-05-20 14:10:12,798] - INFO: Epoch 105/9999, Iter 10480: Loss = 0.012574031949043274, lr = [0.0001] +[2024-05-20 14:10:27,204] - INFO: Evaluate at epoch 105! +[2024-05-20 14:10:32,128] - INFO: Eval PSNR (max): 37.357 (85) SSIM (max): 0.9584 (100) +[2024-05-20 14:10:32,128] - INFO: Eval PSNR (current): 37.307 (105) SSIM (current): 0.9579 (105) +[2024-05-20 14:10:32,128] - INFO: Evaluation over. +[2024-05-20 14:11:16,582] - INFO: Epoch 106/9999, Iter 10500: Loss = 0.03147704154253006, lr = [0.0001] +[2024-05-20 14:11:31,202] - INFO: Epoch 106/9999, Iter 10520: Loss = 0.014541709795594215, lr = [0.0001] +[2024-05-20 14:11:45,724] - INFO: Epoch 106/9999, Iter 10540: Loss = 0.005848270375281572, lr = [0.0001] +[2024-05-20 14:12:00,136] - INFO: Epoch 106/9999, Iter 10560: Loss = 0.02420130744576454, lr = [0.0001] +[2024-05-20 14:12:14,677] - INFO: Epoch 106/9999, Iter 10580: Loss = 0.016308989375829697, lr = [0.0001] +[2024-05-20 14:12:30,241] - INFO: Epoch 107/9999, Iter 10600: Loss = 0.018265461549162865, lr = [0.0001] +[2024-05-20 14:12:44,836] - INFO: Epoch 107/9999, Iter 10620: Loss = 0.018166230991482735, lr = [0.0001] +[2024-05-20 14:12:59,408] - INFO: Epoch 107/9999, Iter 10640: Loss = 0.007852104492485523, lr = [0.0001] +[2024-05-20 14:13:13,990] - INFO: Epoch 107/9999, Iter 10660: Loss = 0.023955177515745163, lr = [0.0001] +[2024-05-20 14:13:28,608] - INFO: Epoch 107/9999, Iter 10680: Loss = 0.013069977052509785, lr = [0.0001] +[2024-05-20 14:13:44,500] - INFO: Epoch 108/9999, Iter 10700: Loss = 0.007271196227520704, lr = [0.0001] +[2024-05-20 14:13:59,228] - INFO: Epoch 108/9999, Iter 10720: Loss = 0.010210549458861351, lr = [0.0001] +[2024-05-20 14:14:13,848] - INFO: Epoch 108/9999, Iter 10740: Loss = 0.01830393448472023, lr = [0.0001] +[2024-05-20 14:14:28,524] - INFO: Epoch 108/9999, Iter 10760: Loss = 0.019112149253487587, lr = [0.0001] +[2024-05-20 14:14:43,216] - INFO: Epoch 108/9999, Iter 10780: Loss = 0.018023917451500893, lr = [0.0001] +[2024-05-20 14:14:59,252] - INFO: Epoch 109/9999, Iter 10800: Loss = 0.010032887570559978, lr = [0.0001] +[2024-05-20 14:15:14,027] - INFO: Epoch 109/9999, Iter 10820: Loss = 0.021151510998606682, lr = [0.0001] +[2024-05-20 14:15:28,743] - INFO: Epoch 109/9999, Iter 10840: Loss = 0.016631150618195534, lr = [0.0001] +[2024-05-20 14:15:43,472] - INFO: Epoch 109/9999, Iter 10860: Loss = 0.014841901138424873, lr = [0.0001] +[2024-05-20 14:16:39,546] - INFO: Epoch 109/9999, Iter 10880: Loss = 0.01876632310450077, lr = [0.0001] +[2024-05-20 14:16:55,440] - INFO: Epoch 110/9999, Iter 10900: Loss = 0.01088947243988514, lr = [0.0001] +[2024-05-20 14:17:09,988] - INFO: Epoch 110/9999, Iter 10920: Loss = 0.006179806310683489, lr = [0.0001] +[2024-05-20 14:17:24,463] - INFO: Epoch 110/9999, Iter 10940: Loss = 0.015086074359714985, lr = [0.0001] +[2024-05-20 14:17:38,904] - INFO: Epoch 110/9999, Iter 10960: Loss = 0.016054293140769005, lr = [0.0001] +[2024-05-20 14:17:53,454] - INFO: Epoch 110/9999, Iter 10980: Loss = 0.005489672999829054, lr = [0.0001] +[2024-05-20 14:18:07,597] - INFO: Evaluate at epoch 110! +[2024-05-20 14:18:12,448] - INFO: Eval PSNR (max): 37.357 (85) SSIM (max): 0.9584 (100) +[2024-05-20 14:18:12,449] - INFO: Eval PSNR (current): 36.209 (110) SSIM (current): 0.9578 (110) +[2024-05-20 14:18:12,449] - INFO: Evaluation over. +[2024-05-20 14:20:43,948] - INFO: Epoch 111/9999, Iter 11000: Loss = 0.01388514693826437, lr = [0.0001] +[2024-05-20 14:20:58,264] - INFO: Epoch 111/9999, Iter 11020: Loss = 0.010936400853097439, lr = [0.0001] +[2024-05-20 14:21:12,586] - INFO: Epoch 111/9999, Iter 11040: Loss = 0.009775632061064243, lr = [0.0001] +[2024-05-20 14:21:26,809] - INFO: Epoch 111/9999, Iter 11060: Loss = 0.013110758736729622, lr = [0.0001] +[2024-05-20 14:21:41,121] - INFO: Epoch 111/9999, Iter 11080: Loss = 0.020615896210074425, lr = [0.0001] +[2024-05-20 14:21:56,836] - INFO: Epoch 112/9999, Iter 11100: Loss = 0.012986557558178902, lr = [0.0001] +[2024-05-20 14:22:11,241] - INFO: Epoch 112/9999, Iter 11120: Loss = 0.010629713535308838, lr = [0.0001] +[2024-05-20 14:22:51,850] - INFO: Epoch 112/9999, Iter 11140: Loss = 0.014599696733057499, lr = [0.0001] +[2024-05-20 14:23:06,286] - INFO: Epoch 112/9999, Iter 11160: Loss = 0.02585296705365181, lr = [0.0001] +[2024-05-20 14:23:20,723] - INFO: Epoch 112/9999, Iter 11180: Loss = 0.016945742070674896, lr = [0.0001] +[2024-05-20 14:23:36,447] - INFO: Epoch 113/9999, Iter 11200: Loss = 0.018146628513932228, lr = [0.0001] +[2024-05-20 14:23:50,926] - INFO: Epoch 113/9999, Iter 11220: Loss = 0.014329218305647373, lr = [0.0001] +[2024-05-20 14:24:05,326] - INFO: Epoch 113/9999, Iter 11240: Loss = 0.015557968989014626, lr = [0.0001] +[2024-05-20 14:24:19,799] - INFO: Epoch 113/9999, Iter 11260: Loss = 0.011062352918088436, lr = [0.0001] +[2024-05-20 14:24:34,228] - INFO: Epoch 113/9999, Iter 11280: Loss = 0.01368448231369257, lr = [0.0001] +[2024-05-20 14:24:50,016] - INFO: Epoch 114/9999, Iter 11300: Loss = 0.01458335854113102, lr = [0.0001] +[2024-05-20 14:25:04,642] - INFO: Epoch 114/9999, Iter 11320: Loss = 0.022458385676145554, lr = [0.0001] +[2024-05-20 14:25:19,215] - INFO: Epoch 114/9999, Iter 11340: Loss = 0.020934250205755234, lr = [0.0001] +[2024-05-20 14:25:33,748] - INFO: Epoch 114/9999, Iter 11360: Loss = 0.009997287765145302, lr = [0.0001] +[2024-05-20 14:25:48,227] - INFO: Epoch 114/9999, Iter 11380: Loss = 0.012468378059566021, lr = [0.0001] +[2024-05-20 14:26:03,993] - INFO: Epoch 115/9999, Iter 11400: Loss = 0.01736285351216793, lr = [0.0001] +[2024-05-20 14:28:09,921] - INFO: Epoch 115/9999, Iter 11420: Loss = 0.012142176739871502, lr = [0.0001] +[2024-05-20 14:28:24,232] - INFO: Epoch 115/9999, Iter 11440: Loss = 0.009960086084902287, lr = [0.0001] +[2024-05-20 14:28:38,537] - INFO: Epoch 115/9999, Iter 11460: Loss = 0.008962946012616158, lr = [0.0001] +[2024-05-20 14:28:52,818] - INFO: Epoch 115/9999, Iter 11480: Loss = 0.01064595952630043, lr = [0.0001] +[2024-05-20 14:29:06,864] - INFO: Evaluate at epoch 115! +[2024-05-20 14:30:37,290] - INFO: Eval PSNR (max): 37.462 (115) SSIM (max): 0.9586 (115) +[2024-05-20 14:30:37,297] - INFO: Eval PSNR (current): 37.462 (115) SSIM (current): 0.9586 (115) +[2024-05-20 14:30:37,297] - INFO: Evaluation over. +[2024-05-20 14:31:21,486] - INFO: Epoch 116/9999, Iter 11500: Loss = 0.01007323618978262, lr = [0.0001] +[2024-05-20 14:31:35,779] - INFO: Epoch 116/9999, Iter 11520: Loss = 0.010141093283891678, lr = [0.0001] +[2024-05-20 14:31:50,015] - INFO: Epoch 116/9999, Iter 11540: Loss = 0.017528612166643143, lr = [0.0001] +[2024-05-20 14:32:04,320] - INFO: Epoch 116/9999, Iter 11560: Loss = 0.016843516379594803, lr = [0.0001] +[2024-05-20 14:32:18,570] - INFO: Epoch 116/9999, Iter 11580: Loss = 0.01780744455754757, lr = [0.0001] +[2024-05-20 14:32:34,252] - INFO: Epoch 117/9999, Iter 11600: Loss = 0.00953148677945137, lr = [0.0001] +[2024-05-20 14:32:48,653] - INFO: Epoch 117/9999, Iter 11620: Loss = 0.017894582822918892, lr = [0.0001] +[2024-05-20 14:33:03,057] - INFO: Epoch 117/9999, Iter 11640: Loss = 0.01305971760302782, lr = [0.0001] +[2024-05-20 14:33:17,574] - INFO: Epoch 117/9999, Iter 11660: Loss = 0.013342736288905144, lr = [0.0001] +[2024-05-20 14:33:32,106] - INFO: Epoch 117/9999, Iter 11680: Loss = 0.016923442482948303, lr = [0.0001] +[2024-05-20 14:37:17,500] - INFO: Epoch 118/9999, Iter 11700: Loss = 0.017830422148108482, lr = [0.0001] +[2024-05-20 14:37:31,835] - INFO: Epoch 118/9999, Iter 11720: Loss = 0.021816421300172806, lr = [0.0001] +[2024-05-20 14:37:46,163] - INFO: Epoch 118/9999, Iter 11740: Loss = 0.017022255808115005, lr = [0.0001] +[2024-05-20 14:38:00,407] - INFO: Epoch 118/9999, Iter 11760: Loss = 0.01005308236926794, lr = [0.0001] +[2024-05-20 14:38:14,617] - INFO: Epoch 118/9999, Iter 11780: Loss = 0.010486126877367496, lr = [0.0001] +[2024-05-20 14:38:30,369] - INFO: Epoch 119/9999, Iter 11800: Loss = 0.015466151759028435, lr = [0.0001] +[2024-05-20 14:38:44,795] - INFO: Epoch 119/9999, Iter 11820: Loss = 0.009215040132403374, lr = [0.0001] +[2024-05-20 14:38:59,154] - INFO: Epoch 119/9999, Iter 11840: Loss = 0.014208908192813396, lr = [0.0001] +[2024-05-20 14:39:13,504] - INFO: Epoch 119/9999, Iter 11860: Loss = 0.015543430112302303, lr = [0.0001] +[2024-05-20 14:39:27,921] - INFO: Epoch 119/9999, Iter 11880: Loss = 0.009287595748901367, lr = [0.0001] +[2024-05-20 14:39:43,521] - INFO: Epoch 120/9999, Iter 11900: Loss = 0.018326066434383392, lr = [0.0001] +[2024-05-20 14:39:58,006] - INFO: Epoch 120/9999, Iter 11920: Loss = 0.011461891233921051, lr = [0.0001] +[2024-05-20 14:40:12,613] - INFO: Epoch 120/9999, Iter 11940: Loss = 0.009337091818451881, lr = [0.0001] +[2024-05-20 14:40:27,196] - INFO: Epoch 120/9999, Iter 11960: Loss = 0.00866654422134161, lr = [0.0001] +[2024-05-20 14:40:41,780] - INFO: Epoch 120/9999, Iter 11980: Loss = 0.010582858696579933, lr = [0.0001] +[2024-05-20 14:40:56,028] - INFO: Evaluate at epoch 120! +[2024-05-20 14:41:00,882] - INFO: Eval PSNR (max): 37.462 (115) SSIM (max): 0.9586 (115) +[2024-05-20 14:41:00,882] - INFO: Eval PSNR (current): 37.439 (120) SSIM (current): 0.9584 (120) +[2024-05-20 14:41:00,882] - INFO: Evaluation over. +[2024-05-20 14:41:45,521] - INFO: Epoch 121/9999, Iter 12000: Loss = 0.00977992918342352, lr = [0.0001] +[2024-05-20 14:41:59,928] - INFO: Epoch 121/9999, Iter 12020: Loss = 0.006600918713957071, lr = [0.0001] +[2024-05-20 14:42:14,400] - INFO: Epoch 121/9999, Iter 12040: Loss = 0.02250458113849163, lr = [0.0001] +[2024-05-20 14:42:28,824] - INFO: Epoch 121/9999, Iter 12060: Loss = 0.012311864644289017, lr = [0.0001] +[2024-05-20 14:42:43,222] - INFO: Epoch 121/9999, Iter 12080: Loss = 0.015432875603437424, lr = [0.0001] +[2024-05-20 14:42:58,756] - INFO: Epoch 122/9999, Iter 12100: Loss = 0.008271108381450176, lr = [0.0001] +[2024-05-20 14:43:13,254] - INFO: Epoch 122/9999, Iter 12120: Loss = 0.010669748298823833, lr = [0.0001] +[2024-05-20 14:43:27,684] - INFO: Epoch 122/9999, Iter 12140: Loss = 0.025761935859918594, lr = [0.0001] +[2024-05-20 14:43:42,117] - INFO: Epoch 122/9999, Iter 12160: Loss = 0.01782207190990448, lr = [0.0001] +[2024-05-20 14:43:56,629] - INFO: Epoch 122/9999, Iter 12180: Loss = 0.01317063719034195, lr = [0.0001] +[2024-05-20 14:44:12,541] - INFO: Epoch 123/9999, Iter 12200: Loss = 0.011337152682244778, lr = [0.0001] +[2024-05-20 14:44:27,220] - INFO: Epoch 123/9999, Iter 12220: Loss = 0.014110017567873001, lr = [0.0001] +[2024-05-20 14:44:41,958] - INFO: Epoch 123/9999, Iter 12240: Loss = 0.014152571558952332, lr = [0.0001] +[2024-05-20 14:44:56,540] - INFO: Epoch 123/9999, Iter 12260: Loss = 0.013601182028651237, lr = [0.0001] +[2024-05-20 14:45:11,188] - INFO: Epoch 123/9999, Iter 12280: Loss = 0.022142983973026276, lr = [0.0001] +[2024-05-20 14:45:27,075] - INFO: Epoch 124/9999, Iter 12300: Loss = 0.01098899357020855, lr = [0.0001] +[2024-05-20 14:45:41,844] - INFO: Epoch 124/9999, Iter 12320: Loss = 0.018611347302794456, lr = [0.0001] +[2024-05-20 14:45:56,497] - INFO: Epoch 124/9999, Iter 12340: Loss = 0.02447029948234558, lr = [0.0001] +[2024-05-20 14:46:11,148] - INFO: Epoch 124/9999, Iter 12360: Loss = 0.020033670589327812, lr = [0.0001] +[2024-05-20 14:46:25,913] - INFO: Epoch 124/9999, Iter 12380: Loss = 0.013571196235716343, lr = [0.0001] +[2024-05-20 14:46:41,915] - INFO: Epoch 125/9999, Iter 12400: Loss = 0.009200790897011757, lr = [0.0001] +[2024-05-20 14:46:56,671] - INFO: Epoch 125/9999, Iter 12420: Loss = 0.028635062277317047, lr = [0.0001] +[2024-05-20 14:47:11,295] - INFO: Epoch 125/9999, Iter 12440: Loss = 0.009606907144188881, lr = [0.0001] +[2024-05-20 14:47:25,872] - INFO: Epoch 125/9999, Iter 12460: Loss = 0.01044353749603033, lr = [0.0001] +[2024-05-20 14:47:40,466] - INFO: Epoch 125/9999, Iter 12480: Loss = 0.020037565380334854, lr = [0.0001] +[2024-05-20 14:47:54,797] - INFO: Evaluate at epoch 125! +[2024-05-20 14:47:59,688] - INFO: Eval PSNR (max): 37.462 (115) SSIM (max): 0.9586 (115) +[2024-05-20 14:47:59,688] - INFO: Eval PSNR (current): 37.389 (125) SSIM (current): 0.9581 (125) +[2024-05-20 14:47:59,688] - INFO: Evaluation over. +[2024-05-20 14:48:43,992] - INFO: Epoch 126/9999, Iter 12500: Loss = 0.02725202962756157, lr = [0.0001] +[2024-05-20 14:48:58,502] - INFO: Epoch 126/9999, Iter 12520: Loss = 0.012509184889495373, lr = [0.0001] +[2024-05-20 14:49:12,976] - INFO: Epoch 126/9999, Iter 12540: Loss = 0.01801370456814766, lr = [0.0001] +[2024-05-20 14:49:27,528] - INFO: Epoch 126/9999, Iter 12560: Loss = 0.01575884036719799, lr = [0.0001] +[2024-05-20 14:49:42,022] - INFO: Epoch 126/9999, Iter 12580: Loss = 0.01451069489121437, lr = [0.0001] +[2024-05-20 14:49:57,906] - INFO: Epoch 127/9999, Iter 12600: Loss = 0.01535698864609003, lr = [0.0001] +[2024-05-20 14:50:12,545] - INFO: Epoch 127/9999, Iter 12620: Loss = 0.010440895333886147, lr = [0.0001] +[2024-05-20 14:50:27,119] - INFO: Epoch 127/9999, Iter 12640: Loss = 0.01368379034101963, lr = [0.0001] +[2024-05-20 14:50:41,705] - INFO: Epoch 127/9999, Iter 12660: Loss = 0.02003488875925541, lr = [0.0001] +[2024-05-20 14:50:56,265] - INFO: Epoch 127/9999, Iter 12680: Loss = 0.008665693923830986, lr = [0.0001] +[2024-05-20 14:51:11,958] - INFO: Epoch 128/9999, Iter 12700: Loss = 0.013239257037639618, lr = [0.0001] +[2024-05-20 14:51:26,669] - INFO: Epoch 128/9999, Iter 12720: Loss = 0.017707347869873047, lr = [0.0001] +[2024-05-20 14:51:41,285] - INFO: Epoch 128/9999, Iter 12740: Loss = 0.01660645753145218, lr = [0.0001] +[2024-05-20 14:51:55,947] - INFO: Epoch 128/9999, Iter 12760: Loss = 0.014435539953410625, lr = [0.0001] +[2024-05-20 14:52:10,614] - INFO: Epoch 128/9999, Iter 12780: Loss = 0.014003252610564232, lr = [0.0001] +[2024-05-20 14:52:26,562] - INFO: Epoch 129/9999, Iter 12800: Loss = 0.01440515648573637, lr = [0.0001] +[2024-05-20 14:52:41,315] - INFO: Epoch 129/9999, Iter 12820: Loss = 0.012128576636314392, lr = [0.0001] +[2024-05-20 14:52:56,038] - INFO: Epoch 129/9999, Iter 12840: Loss = 0.015172313898801804, lr = [0.0001] +[2024-05-20 14:53:10,815] - INFO: Epoch 129/9999, Iter 12860: Loss = 0.014775057323276997, lr = [0.0001] +[2024-05-20 14:53:25,541] - INFO: Epoch 129/9999, Iter 12880: Loss = 0.016968686133623123, lr = [0.0001] +[2024-05-20 14:53:41,693] - INFO: Epoch 130/9999, Iter 12900: Loss = 0.012179366312921047, lr = [0.0001] +[2024-05-20 14:53:56,483] - INFO: Epoch 130/9999, Iter 12920: Loss = 0.014725448563694954, lr = [0.0001] +[2024-05-20 14:54:11,199] - INFO: Epoch 130/9999, Iter 12940: Loss = 0.011437562294304371, lr = [0.0001] +[2024-05-20 14:54:25,892] - INFO: Epoch 130/9999, Iter 12960: Loss = 0.021537259221076965, lr = [0.0001] +[2024-05-20 14:54:40,600] - INFO: Epoch 130/9999, Iter 12980: Loss = 0.012048124335706234, lr = [0.0001] +[2024-05-20 14:54:54,931] - INFO: Evaluate at epoch 130! +[2024-05-20 14:54:59,765] - INFO: Eval PSNR (max): 37.462 (115) SSIM (max): 0.9586 (115) +[2024-05-20 14:54:59,765] - INFO: Eval PSNR (current): 37.026 (130) SSIM (current): 0.9577 (130) +[2024-05-20 14:54:59,765] - INFO: Evaluation over. +[2024-05-20 14:55:44,240] - INFO: Epoch 131/9999, Iter 13000: Loss = 0.020998449996113777, lr = [0.0001] +[2024-05-20 14:55:58,767] - INFO: Epoch 131/9999, Iter 13020: Loss = 0.01707257516682148, lr = [0.0001] +[2024-05-20 14:56:13,223] - INFO: Epoch 131/9999, Iter 13040: Loss = 0.014628501608967781, lr = [0.0001] +[2024-05-20 14:56:27,688] - INFO: Epoch 131/9999, Iter 13060: Loss = 0.018727818503975868, lr = [0.0001] +[2024-05-20 14:56:42,301] - INFO: Epoch 131/9999, Iter 13080: Loss = 0.02437637187540531, lr = [0.0001] +[2024-05-20 14:56:58,034] - INFO: Epoch 132/9999, Iter 13100: Loss = 0.01757260598242283, lr = [0.0001] +[2024-05-20 14:57:12,628] - INFO: Epoch 132/9999, Iter 13120: Loss = 0.009008239023387432, lr = [0.0001] +[2024-05-20 14:57:27,173] - INFO: Epoch 132/9999, Iter 13140: Loss = 0.02119888737797737, lr = [0.0001] +[2024-05-20 14:57:41,782] - INFO: Epoch 132/9999, Iter 13160: Loss = 0.017221424728631973, lr = [0.0001] +[2024-05-20 14:57:56,397] - INFO: Epoch 132/9999, Iter 13180: Loss = 0.009324348531663418, lr = [0.0001] +[2024-05-20 14:58:12,054] - INFO: Epoch 133/9999, Iter 13200: Loss = 0.015122431330382824, lr = [0.0001] +[2024-05-20 14:58:26,665] - INFO: Epoch 133/9999, Iter 13220: Loss = 0.015718994662165642, lr = [0.0001] +[2024-05-20 14:58:41,399] - INFO: Epoch 133/9999, Iter 13240: Loss = 0.007772031705826521, lr = [0.0001] +[2024-05-20 14:58:55,968] - INFO: Epoch 133/9999, Iter 13260: Loss = 0.016337992623448372, lr = [0.0001] +[2024-05-20 14:59:10,569] - INFO: Epoch 133/9999, Iter 13280: Loss = 0.01270047202706337, lr = [0.0001] +[2024-05-20 14:59:26,387] - INFO: Epoch 134/9999, Iter 13300: Loss = 0.015150238759815693, lr = [0.0001] +[2024-05-20 14:59:41,058] - INFO: Epoch 134/9999, Iter 13320: Loss = 0.009037376381456852, lr = [0.0001] +[2024-05-20 14:59:55,766] - INFO: Epoch 134/9999, Iter 13340: Loss = 0.02573072910308838, lr = [0.0001] +[2024-05-20 15:00:10,398] - INFO: Epoch 134/9999, Iter 13360: Loss = 0.021563414484262466, lr = [0.0001] +[2024-05-20 15:00:25,092] - INFO: Epoch 134/9999, Iter 13380: Loss = 0.012739232741296291, lr = [0.0001] +[2024-05-20 15:00:40,940] - INFO: Epoch 135/9999, Iter 13400: Loss = 0.021876337006688118, lr = [0.0001] +[2024-05-20 15:00:55,707] - INFO: Epoch 135/9999, Iter 13420: Loss = 0.008789320476353168, lr = [0.0001] +[2024-05-20 15:01:10,435] - INFO: Epoch 135/9999, Iter 13440: Loss = 0.014974577352404594, lr = [0.0001] +[2024-05-20 15:01:25,132] - INFO: Epoch 135/9999, Iter 13460: Loss = 0.008768732659518719, lr = [0.0001] +[2024-05-20 15:01:39,832] - INFO: Epoch 135/9999, Iter 13480: Loss = 0.026252862066030502, lr = [0.0001] +[2024-05-20 15:01:54,244] - INFO: Evaluate at epoch 135! +[2024-05-20 15:01:58,973] - INFO: Eval PSNR (max): 37.462 (115) SSIM (max): 0.9586 (115) +[2024-05-20 15:01:58,973] - INFO: Eval PSNR (current): 37.196 (135) SSIM (current): 0.9580 (135) +[2024-05-20 15:01:58,973] - INFO: Evaluation over. +[2024-05-20 15:02:43,584] - INFO: Epoch 136/9999, Iter 13500: Loss = 0.014113110490143299, lr = [0.0001] +[2024-05-20 15:02:58,137] - INFO: Epoch 136/9999, Iter 13520: Loss = 0.010033275000751019, lr = [0.0001] +[2024-05-20 15:03:12,610] - INFO: Epoch 136/9999, Iter 13540: Loss = 0.014875001274049282, lr = [0.0001] +[2024-05-20 15:03:27,076] - INFO: Epoch 136/9999, Iter 13560: Loss = 0.016340823844075203, lr = [0.0001] +[2024-05-20 15:03:41,541] - INFO: Epoch 136/9999, Iter 13580: Loss = 0.01630396768450737, lr = [0.0001] +[2024-05-20 15:03:57,379] - INFO: Epoch 137/9999, Iter 13600: Loss = 0.014217943884432316, lr = [0.0001] +[2024-05-20 15:04:12,455] - INFO: Epoch 137/9999, Iter 13620: Loss = 0.01067466102540493, lr = [0.0001] +[2024-05-20 15:04:27,129] - INFO: Epoch 137/9999, Iter 13640: Loss = 0.008225850760936737, lr = [0.0001] +[2024-05-20 15:04:41,700] - INFO: Epoch 137/9999, Iter 13660: Loss = 0.015350621193647385, lr = [0.0001] +[2024-05-20 15:04:56,267] - INFO: Epoch 137/9999, Iter 13680: Loss = 0.00924838986247778, lr = [0.0001] +[2024-05-20 15:05:12,115] - INFO: Epoch 138/9999, Iter 13700: Loss = 0.011565648950636387, lr = [0.0001] +[2024-05-20 15:05:26,869] - INFO: Epoch 138/9999, Iter 13720: Loss = 0.008644959889352322, lr = [0.0001] +[2024-05-20 15:05:41,536] - INFO: Epoch 138/9999, Iter 13740: Loss = 0.010691052302718163, lr = [0.0001] +[2024-05-20 15:05:56,243] - INFO: Epoch 138/9999, Iter 13760: Loss = 0.008031505160033703, lr = [0.0001] +[2024-05-20 15:06:10,854] - INFO: Epoch 138/9999, Iter 13780: Loss = 0.020714208483695984, lr = [0.0001] +[2024-05-20 15:06:26,796] - INFO: Epoch 139/9999, Iter 13800: Loss = 0.015640852972865105, lr = [0.0001] +[2024-05-20 15:06:41,546] - INFO: Epoch 139/9999, Iter 13820: Loss = 0.012087267823517323, lr = [0.0001] +[2024-05-20 15:06:56,282] - INFO: Epoch 139/9999, Iter 13840: Loss = 0.015108711086213589, lr = [0.0001] +[2024-05-20 15:07:10,967] - INFO: Epoch 139/9999, Iter 13860: Loss = 0.010399858467280865, lr = [0.0001] +[2024-05-20 15:07:25,683] - INFO: Epoch 139/9999, Iter 13880: Loss = 0.01142868585884571, lr = [0.0001] +[2024-05-20 15:07:41,436] - INFO: Epoch 140/9999, Iter 13900: Loss = 0.018915830180048943, lr = [0.0001] +[2024-05-20 15:07:56,195] - INFO: Epoch 140/9999, Iter 13920: Loss = 0.019106920808553696, lr = [0.0001] +[2024-05-20 15:08:10,968] - INFO: Epoch 140/9999, Iter 13940: Loss = 0.01445669587701559, lr = [0.0001] +[2024-05-20 15:08:25,724] - INFO: Epoch 140/9999, Iter 13960: Loss = 0.016288265585899353, lr = [0.0001] +[2024-05-20 15:08:40,473] - INFO: Epoch 140/9999, Iter 13980: Loss = 0.005223891697824001, lr = [0.0001] +[2024-05-20 15:08:54,924] - INFO: Evaluate at epoch 140! +[2024-05-20 15:08:59,646] - INFO: Eval PSNR (max): 37.462 (115) SSIM (max): 0.9586 (115) +[2024-05-20 15:08:59,646] - INFO: Eval PSNR (current): 37.353 (140) SSIM (current): 0.9584 (140) +[2024-05-20 15:08:59,646] - INFO: Evaluation over. +[2024-05-20 15:09:43,934] - INFO: Epoch 141/9999, Iter 14000: Loss = 0.01718907617032528, lr = [0.0001] +[2024-05-20 15:09:58,506] - INFO: Epoch 141/9999, Iter 14020: Loss = 0.01658698357641697, lr = [0.0001] +[2024-05-20 15:10:13,002] - INFO: Epoch 141/9999, Iter 14040: Loss = 0.016157230362296104, lr = [0.0001] +[2024-05-20 15:10:27,460] - INFO: Epoch 141/9999, Iter 14060: Loss = 0.016010424122214317, lr = [0.0001] +[2024-05-20 15:10:41,875] - INFO: Epoch 141/9999, Iter 14080: Loss = 0.00807276926934719, lr = [0.0001] +[2024-05-20 15:10:57,764] - INFO: Epoch 142/9999, Iter 14100: Loss = 0.01930626481771469, lr = [0.0001] +[2024-05-20 15:11:12,324] - INFO: Epoch 142/9999, Iter 14120: Loss = 0.013875104486942291, lr = [0.0001] +[2024-05-20 15:11:26,802] - INFO: Epoch 142/9999, Iter 14140: Loss = 0.016188807785511017, lr = [0.0001] +[2024-05-20 15:11:41,315] - INFO: Epoch 142/9999, Iter 14160: Loss = 0.0216516125947237, lr = [0.0001] +[2024-05-20 15:11:55,797] - INFO: Epoch 142/9999, Iter 14180: Loss = 0.019706686958670616, lr = [0.0001] +[2024-05-20 15:12:12,084] - INFO: Epoch 143/9999, Iter 14200: Loss = 0.022536106407642365, lr = [0.0001] +[2024-05-20 15:12:26,754] - INFO: Epoch 143/9999, Iter 14220: Loss = 0.017909452319145203, lr = [0.0001] +[2024-05-20 15:13:40,971] - INFO: Epoch 143/9999, Iter 14240: Loss = 0.008707992732524872, lr = [0.0001] +[2024-05-20 15:13:55,406] - INFO: Epoch 143/9999, Iter 14260: Loss = 0.011947188526391983, lr = [0.0001] +[2024-05-20 15:14:09,852] - INFO: Epoch 143/9999, Iter 14280: Loss = 0.017207611352205276, lr = [0.0001] +[2024-05-20 15:14:25,701] - INFO: Epoch 144/9999, Iter 14300: Loss = 0.017408624291419983, lr = [0.0001] +[2024-05-20 15:14:40,348] - INFO: Epoch 144/9999, Iter 14320: Loss = 0.013651902787387371, lr = [0.0001] +[2024-05-20 15:14:54,833] - INFO: Epoch 144/9999, Iter 14340: Loss = 0.009997338056564331, lr = [0.0001] +[2024-05-20 15:15:09,351] - INFO: Epoch 144/9999, Iter 14360: Loss = 0.014100697822868824, lr = [0.0001] +[2024-05-20 15:15:50,004] - INFO: Epoch 144/9999, Iter 14380: Loss = 0.01831117644906044, lr = [0.0001] +[2024-05-20 15:16:05,682] - INFO: Epoch 145/9999, Iter 14400: Loss = 0.01275550201535225, lr = [0.0001] +[2024-05-20 15:16:20,276] - INFO: Epoch 145/9999, Iter 14420: Loss = 0.019726011902093887, lr = [0.0001] +[2024-05-20 15:16:34,904] - INFO: Epoch 145/9999, Iter 14440: Loss = 0.020960958674550056, lr = [0.0001] +[2024-05-20 15:16:49,468] - INFO: Epoch 145/9999, Iter 14460: Loss = 0.008734140545129776, lr = [0.0001] +[2024-05-20 15:17:03,993] - INFO: Epoch 145/9999, Iter 14480: Loss = 0.010853481478989124, lr = [0.0001] +[2024-05-20 15:17:18,216] - INFO: Evaluate at epoch 145! +[2024-05-20 15:17:23,047] - INFO: Eval PSNR (max): 37.462 (115) SSIM (max): 0.9586 (115) +[2024-05-20 15:17:23,047] - INFO: Eval PSNR (current): 37.296 (145) SSIM (current): 0.9579 (145) +[2024-05-20 15:17:23,047] - INFO: Evaluation over. +[2024-05-20 15:18:35,504] - INFO: Epoch 146/9999, Iter 14500: Loss = 0.016095174476504326, lr = [0.0001] +[2024-05-20 15:18:49,949] - INFO: Epoch 146/9999, Iter 14520: Loss = 0.013179785571992397, lr = [0.0001] +[2024-05-20 15:19:04,337] - INFO: Epoch 146/9999, Iter 14540: Loss = 0.016619142144918442, lr = [0.0001] +[2024-05-20 15:19:18,799] - INFO: Epoch 146/9999, Iter 14560: Loss = 0.013126379810273647, lr = [0.0001] +[2024-05-20 15:19:33,174] - INFO: Epoch 146/9999, Iter 14580: Loss = 0.026024628430604935, lr = [0.0001] +[2024-05-20 15:19:59,578] - INFO: Epoch 147/9999, Iter 14600: Loss = 0.013906103558838367, lr = [0.0001] +[2024-05-20 15:20:14,032] - INFO: Epoch 147/9999, Iter 14620: Loss = 0.009887421503663063, lr = [0.0001] +[2024-05-20 15:20:41,496] - INFO: Epoch 147/9999, Iter 14640: Loss = 0.009814132004976273, lr = [0.0001] +[2024-05-20 15:20:56,000] - INFO: Epoch 147/9999, Iter 14660: Loss = 0.009273727424442768, lr = [0.0001] +[2024-05-20 15:21:10,512] - INFO: Epoch 147/9999, Iter 14680: Loss = 0.01474167499691248, lr = [0.0001] +[2024-05-20 15:21:26,217] - INFO: Epoch 148/9999, Iter 14700: Loss = 0.01879396103322506, lr = [0.0001] +[2024-05-20 15:21:40,817] - INFO: Epoch 148/9999, Iter 14720: Loss = 0.013959233649075031, lr = [0.0001] +[2024-05-20 15:21:55,333] - INFO: Epoch 148/9999, Iter 14740: Loss = 0.02042660489678383, lr = [0.0001] +[2024-05-20 15:22:09,916] - INFO: Epoch 148/9999, Iter 14760: Loss = 0.013322954066097736, lr = [0.0001] +[2024-05-20 15:22:24,498] - INFO: Epoch 148/9999, Iter 14780: Loss = 0.015358973294496536, lr = [0.0001] +[2024-05-20 15:22:40,293] - INFO: Epoch 149/9999, Iter 14800: Loss = 0.008913598023355007, lr = [0.0001] +[2024-05-20 15:22:54,932] - INFO: Epoch 149/9999, Iter 14820: Loss = 0.026183411478996277, lr = [0.0001] +[2024-05-20 15:23:09,554] - INFO: Epoch 149/9999, Iter 14840: Loss = 0.0192791186273098, lr = [0.0001] +[2024-05-20 15:23:29,622] - INFO: Epoch 149/9999, Iter 14860: Loss = 0.013085974380373955, lr = [0.0001] +[2024-05-20 15:25:37,245] - INFO: Epoch 149/9999, Iter 14880: Loss = 0.015620690770447254, lr = [0.0001] +[2024-05-20 15:25:52,720] - INFO: Epoch 150/9999, Iter 14900: Loss = 0.015513603575527668, lr = [0.0001] +[2024-05-20 15:26:07,113] - INFO: Epoch 150/9999, Iter 14920: Loss = 0.013074906542897224, lr = [0.0001] +[2024-05-20 15:26:21,406] - INFO: Epoch 150/9999, Iter 14940: Loss = 0.014147263951599598, lr = [0.0001] +[2024-05-20 15:26:35,810] - INFO: Epoch 150/9999, Iter 14960: Loss = 0.01035330817103386, lr = [0.0001] +[2024-05-20 15:26:50,150] - INFO: Epoch 150/9999, Iter 14980: Loss = 0.017186658456921577, lr = [0.0001] +[2024-05-20 15:27:04,189] - INFO: Evaluate at epoch 150! +[2024-05-20 15:28:34,716] - INFO: Eval PSNR (max): 37.563 (150) SSIM (max): 0.9591 (150) +[2024-05-20 15:28:34,717] - INFO: Eval PSNR (current): 37.563 (150) SSIM (current): 0.9591 (150) +[2024-05-20 15:28:34,717] - INFO: Evaluation over. +[2024-05-20 15:29:18,795] - INFO: Epoch 151/9999, Iter 15000: Loss = 0.007993216626346111, lr = [0.0001] +[2024-05-20 15:29:33,072] - INFO: Epoch 151/9999, Iter 15020: Loss = 0.009425121359527111, lr = [0.0001] +[2024-05-20 15:29:47,436] - INFO: Epoch 151/9999, Iter 15040: Loss = 0.02777952142059803, lr = [0.0001] +[2024-05-20 15:30:01,720] - INFO: Epoch 151/9999, Iter 15060: Loss = 0.011178822256624699, lr = [0.0001] +[2024-05-20 15:30:15,988] - INFO: Epoch 151/9999, Iter 15080: Loss = 0.009101349860429764, lr = [0.0001] +[2024-05-20 15:30:31,680] - INFO: Epoch 152/9999, Iter 15100: Loss = 0.00949444342404604, lr = [0.0001] +[2024-05-20 15:30:46,092] - INFO: Epoch 152/9999, Iter 15120: Loss = 0.01268700510263443, lr = [0.0001] +[2024-05-20 15:31:00,470] - INFO: Epoch 152/9999, Iter 15140: Loss = 0.012782893143594265, lr = [0.0001] +[2024-05-20 15:31:14,846] - INFO: Epoch 152/9999, Iter 15160: Loss = 0.00858480203896761, lr = [0.0001] +[2024-05-20 15:31:29,195] - INFO: Epoch 152/9999, Iter 15180: Loss = 0.010177082382142544, lr = [0.0001] +[2024-05-20 15:31:44,716] - INFO: Epoch 153/9999, Iter 15200: Loss = 0.026184095069766045, lr = [0.0001] +[2024-05-20 15:31:59,247] - INFO: Epoch 153/9999, Iter 15220: Loss = 0.012247711420059204, lr = [0.0001] +[2024-05-20 15:32:13,768] - INFO: Epoch 153/9999, Iter 15240: Loss = 0.009591893292963505, lr = [0.0001] +[2024-05-20 15:32:28,299] - INFO: Epoch 153/9999, Iter 15260: Loss = 0.008975236676633358, lr = [0.0001] +[2024-05-20 15:32:42,843] - INFO: Epoch 153/9999, Iter 15280: Loss = 0.011938600800931454, lr = [0.0001] +[2024-05-20 15:32:58,704] - INFO: Epoch 154/9999, Iter 15300: Loss = 0.011972577311098576, lr = [0.0001] +[2024-05-20 15:33:13,492] - INFO: Epoch 154/9999, Iter 15320: Loss = 0.015356017276644707, lr = [0.0001] +[2024-05-20 15:33:28,076] - INFO: Epoch 154/9999, Iter 15340: Loss = 0.3391432464122772, lr = [0.0001] +[2024-05-20 15:33:42,625] - INFO: Epoch 154/9999, Iter 15360: Loss = 0.2137347310781479, lr = [0.0001] +[2024-05-20 15:33:57,235] - INFO: Epoch 154/9999, Iter 15380: Loss = 0.09591279923915863, lr = [0.0001] +[2024-05-20 15:34:13,023] - INFO: Epoch 155/9999, Iter 15400: Loss = 0.04984767735004425, lr = [0.0001] +[2024-05-20 15:34:27,716] - INFO: Epoch 155/9999, Iter 15420: Loss = 0.03810013830661774, lr = [0.0001] +[2024-05-20 15:34:42,345] - INFO: Epoch 155/9999, Iter 15440: Loss = 0.03619306534528732, lr = [0.0001] +[2024-05-20 15:34:57,164] - INFO: Epoch 155/9999, Iter 15460: Loss = 0.025609666481614113, lr = [0.0001] +[2024-05-20 15:35:11,927] - INFO: Epoch 155/9999, Iter 15480: Loss = 0.0168509129434824, lr = [0.0001] +[2024-05-20 15:35:26,353] - INFO: Evaluate at epoch 155! +[2024-05-20 15:35:31,032] - INFO: Eval PSNR (max): 37.563 (150) SSIM (max): 0.9591 (150) +[2024-05-20 15:35:31,032] - INFO: Eval PSNR (current): 34.697 (155) SSIM (current): 0.9446 (155) +[2024-05-20 15:35:31,032] - INFO: Evaluation over. +[2024-05-20 15:36:15,328] - INFO: Epoch 156/9999, Iter 15500: Loss = 0.026288552209734917, lr = [0.0001] +[2024-05-20 15:36:29,888] - INFO: Epoch 156/9999, Iter 15520: Loss = 0.017579438164830208, lr = [0.0001] +[2024-05-20 15:36:44,392] - INFO: Epoch 156/9999, Iter 15540: Loss = 0.010308411903679371, lr = [0.0001] +[2024-05-20 15:36:59,113] - INFO: Epoch 156/9999, Iter 15560: Loss = 0.010690745897591114, lr = [0.0001] +[2024-05-20 15:37:13,563] - INFO: Epoch 156/9999, Iter 15580: Loss = 0.01984010823071003, lr = [0.0001] +[2024-05-20 15:37:29,284] - INFO: Epoch 157/9999, Iter 15600: Loss = 0.016302810981869698, lr = [0.0001] +[2024-05-20 15:37:43,846] - INFO: Epoch 157/9999, Iter 15620: Loss = 0.028598209843039513, lr = [0.0001] +[2024-05-20 15:37:58,376] - INFO: Epoch 157/9999, Iter 15640: Loss = 0.019356906414031982, lr = [0.0001] +[2024-05-20 15:38:12,898] - INFO: Epoch 157/9999, Iter 15660: Loss = 0.01510846707969904, lr = [0.0001] +[2024-05-20 15:38:27,418] - INFO: Epoch 157/9999, Iter 15680: Loss = 0.013716894201934338, lr = [0.0001] +[2024-05-20 15:38:43,328] - INFO: Epoch 158/9999, Iter 15700: Loss = 0.013890151865780354, lr = [0.0001] +[2024-05-20 15:38:58,136] - INFO: Epoch 158/9999, Iter 15720: Loss = 0.010135482996702194, lr = [0.0001] +[2024-05-20 15:39:12,728] - INFO: Epoch 158/9999, Iter 15740: Loss = 0.013764378614723682, lr = [0.0001] +[2024-05-20 15:39:27,340] - INFO: Epoch 158/9999, Iter 15760: Loss = 0.007809916976839304, lr = [0.0001] +[2024-05-20 15:39:41,996] - INFO: Epoch 158/9999, Iter 15780: Loss = 0.016199400648474693, lr = [0.0001] +[2024-05-20 15:40:05,015] - INFO: Epoch 159/9999, Iter 15800: Loss = 0.013057051226496696, lr = [0.0001] +[2024-05-20 15:40:25,020] - INFO: Epoch 159/9999, Iter 15820: Loss = 0.017172377556562424, lr = [0.0001] +[2024-05-20 15:40:47,937] - INFO: Epoch 159/9999, Iter 15840: Loss = 0.013884984888136387, lr = [0.0001] +[2024-05-20 15:41:12,224] - INFO: Epoch 159/9999, Iter 15860: Loss = 0.024152906611561775, lr = [0.0001] +[2024-05-20 15:41:26,760] - INFO: Epoch 159/9999, Iter 15880: Loss = 0.017450924962759018, lr = [0.0001] +[2024-05-20 15:41:42,419] - INFO: Epoch 160/9999, Iter 15900: Loss = 0.01183863915503025, lr = [0.0001] +[2024-05-20 15:41:56,972] - INFO: Epoch 160/9999, Iter 15920: Loss = 0.011013271287083626, lr = [0.0001] +[2024-05-20 15:42:11,509] - INFO: Epoch 160/9999, Iter 15940: Loss = 0.01674051582813263, lr = [0.0001] +[2024-05-20 15:42:26,176] - INFO: Epoch 160/9999, Iter 15960: Loss = 0.009283352643251419, lr = [0.0001] +[2024-05-20 15:42:40,781] - INFO: Epoch 160/9999, Iter 15980: Loss = 0.006218323949724436, lr = [0.0001] +[2024-05-20 15:42:55,077] - INFO: Evaluate at epoch 160! +[2024-05-20 15:42:59,974] - INFO: Eval PSNR (max): 37.563 (150) SSIM (max): 0.9591 (150) +[2024-05-20 15:42:59,975] - INFO: Eval PSNR (current): 37.073 (160) SSIM (current): 0.9575 (160) +[2024-05-20 15:42:59,975] - INFO: Evaluation over. +[2024-05-20 15:43:44,430] - INFO: Epoch 161/9999, Iter 16000: Loss = 0.01582171581685543, lr = [0.0001] +[2024-05-20 15:43:58,908] - INFO: Epoch 161/9999, Iter 16020: Loss = 0.01387081854045391, lr = [0.0001] +[2024-05-20 15:44:13,398] - INFO: Epoch 161/9999, Iter 16040: Loss = 0.014322798699140549, lr = [0.0001] +[2024-05-20 15:44:27,912] - INFO: Epoch 161/9999, Iter 16060: Loss = 0.01372828520834446, lr = [0.0001] +[2024-05-20 15:44:42,279] - INFO: Epoch 161/9999, Iter 16080: Loss = 0.019519435241818428, lr = [0.0001] +[2024-05-20 15:44:58,006] - INFO: Epoch 162/9999, Iter 16100: Loss = 0.01415053941309452, lr = [0.0001] +[2024-05-20 15:45:12,443] - INFO: Epoch 162/9999, Iter 16120: Loss = 0.016434604302048683, lr = [0.0001] +[2024-05-20 15:45:26,936] - INFO: Epoch 162/9999, Iter 16140: Loss = 0.012617046013474464, lr = [0.0001] +[2024-05-20 15:45:41,463] - INFO: Epoch 162/9999, Iter 16160: Loss = 0.009723581373691559, lr = [0.0001] +[2024-05-20 15:45:56,009] - INFO: Epoch 162/9999, Iter 16180: Loss = 0.01590406708419323, lr = [0.0001] +[2024-05-20 15:46:11,863] - INFO: Epoch 163/9999, Iter 16200: Loss = 0.010917452163994312, lr = [0.0001] +[2024-05-20 15:46:26,644] - INFO: Epoch 163/9999, Iter 16220: Loss = 0.028662703931331635, lr = [0.0001] +[2024-05-20 15:46:41,205] - INFO: Epoch 163/9999, Iter 16240: Loss = 0.017165793105959892, lr = [0.0001] +[2024-05-20 15:46:55,846] - INFO: Epoch 163/9999, Iter 16260: Loss = 0.013932645320892334, lr = [0.0001] +[2024-05-20 15:47:10,510] - INFO: Epoch 163/9999, Iter 16280: Loss = 0.012858969159424305, lr = [0.0001] +[2024-05-20 15:47:26,319] - INFO: Epoch 164/9999, Iter 16300: Loss = 0.022004922851920128, lr = [0.0001] +[2024-05-20 15:47:41,056] - INFO: Epoch 164/9999, Iter 16320: Loss = 0.010720367543399334, lr = [0.0001] +[2024-05-20 15:47:55,834] - INFO: Epoch 164/9999, Iter 16340: Loss = 0.020926466211676598, lr = [0.0001] +[2024-05-20 15:48:10,569] - INFO: Epoch 164/9999, Iter 16360: Loss = 0.01079906988888979, lr = [0.0001] +[2024-05-20 15:48:25,251] - INFO: Epoch 164/9999, Iter 16380: Loss = 0.01075926423072815, lr = [0.0001] +[2024-05-20 15:48:41,277] - INFO: Epoch 165/9999, Iter 16400: Loss = 0.01657918654382229, lr = [0.0001] +[2024-05-20 15:48:56,165] - INFO: Epoch 165/9999, Iter 16420: Loss = 0.015285157598555088, lr = [0.0001] +[2024-05-20 15:49:10,878] - INFO: Epoch 165/9999, Iter 16440: Loss = 0.024576779454946518, lr = [0.0001] +[2024-05-20 15:49:25,633] - INFO: Epoch 165/9999, Iter 16460: Loss = 0.012322403490543365, lr = [0.0001] +[2024-05-20 15:49:40,327] - INFO: Epoch 165/9999, Iter 16480: Loss = 0.011791986413300037, lr = [0.0001] +[2024-05-20 15:49:54,798] - INFO: Evaluate at epoch 165! +[2024-05-20 15:49:59,613] - INFO: Eval PSNR (max): 37.563 (150) SSIM (max): 0.9591 (150) +[2024-05-20 15:49:59,613] - INFO: Eval PSNR (current): 37.479 (165) SSIM (current): 0.9586 (165) +[2024-05-20 15:49:59,613] - INFO: Evaluation over. +[2024-05-20 15:50:44,076] - INFO: Epoch 166/9999, Iter 16500: Loss = 0.013644020073115826, lr = [0.0001] +[2024-05-20 15:50:58,562] - INFO: Epoch 166/9999, Iter 16520: Loss = 0.008298216387629509, lr = [0.0001] +[2024-05-20 15:51:13,059] - INFO: Epoch 166/9999, Iter 16540: Loss = 0.021224651485681534, lr = [0.0001] +[2024-05-20 15:51:27,563] - INFO: Epoch 166/9999, Iter 16560: Loss = 0.01229320652782917, lr = [0.0001] +[2024-05-20 15:51:42,144] - INFO: Epoch 166/9999, Iter 16580: Loss = 0.01718067191541195, lr = [0.0001] +[2024-05-20 15:51:58,380] - INFO: Epoch 167/9999, Iter 16600: Loss = 0.021984299644827843, lr = [0.0001] +[2024-05-20 15:52:13,208] - INFO: Epoch 167/9999, Iter 16620: Loss = 0.006201988086104393, lr = [0.0001] +[2024-05-20 15:52:27,853] - INFO: Epoch 167/9999, Iter 16640: Loss = 0.015170823782682419, lr = [0.0001] +[2024-05-20 15:52:42,435] - INFO: Epoch 167/9999, Iter 16660: Loss = 0.013394152745604515, lr = [0.0001] +[2024-05-20 15:52:57,081] - INFO: Epoch 167/9999, Iter 16680: Loss = 0.016069278120994568, lr = [0.0001] +[2024-05-20 15:53:13,008] - INFO: Epoch 168/9999, Iter 16700: Loss = 0.011495811864733696, lr = [0.0001] +[2024-05-20 15:53:27,794] - INFO: Epoch 168/9999, Iter 16720: Loss = 0.019322413951158524, lr = [0.0001] +[2024-05-20 15:53:42,499] - INFO: Epoch 168/9999, Iter 16740: Loss = 0.014859561808407307, lr = [0.0001] +[2024-05-20 15:53:57,156] - INFO: Epoch 168/9999, Iter 16760: Loss = 0.010603110305964947, lr = [0.0001] +[2024-05-20 15:54:11,778] - INFO: Epoch 168/9999, Iter 16780: Loss = 0.016776956617832184, lr = [0.0001] +[2024-05-20 15:54:27,964] - INFO: Epoch 169/9999, Iter 16800: Loss = 0.01161967869848013, lr = [0.0001] +[2024-05-20 15:54:45,470] - INFO: Epoch 169/9999, Iter 16820: Loss = 0.00852228607982397, lr = [0.0001] +[2024-05-20 15:55:06,110] - INFO: Epoch 169/9999, Iter 16840: Loss = 0.015683339908719063, lr = [0.0001] +[2024-05-20 15:55:25,523] - INFO: Epoch 169/9999, Iter 16860: Loss = 0.018363911658525467, lr = [0.0001] +[2024-05-20 15:55:51,187] - INFO: Epoch 169/9999, Iter 16880: Loss = 0.01647181063890457, lr = [0.0001] +[2024-05-20 15:56:26,232] - INFO: Epoch 170/9999, Iter 16900: Loss = 0.008121113292872906, lr = [0.0001] +[2024-05-20 15:56:50,751] - INFO: Epoch 170/9999, Iter 16920: Loss = 0.0194172952324152, lr = [0.0001] +[2024-05-20 15:57:11,819] - INFO: Epoch 170/9999, Iter 16940: Loss = 0.011848412454128265, lr = [0.0001] +[2024-05-20 15:57:26,288] - INFO: Epoch 170/9999, Iter 16960: Loss = 0.01864287629723549, lr = [0.0001] +[2024-05-20 15:57:40,855] - INFO: Epoch 170/9999, Iter 16980: Loss = 0.01671636290848255, lr = [0.0001] +[2024-05-20 15:57:55,132] - INFO: Evaluate at epoch 170! +[2024-05-20 15:58:00,040] - INFO: Eval PSNR (max): 37.563 (150) SSIM (max): 0.9591 (150) +[2024-05-20 15:58:00,040] - INFO: Eval PSNR (current): 37.530 (170) SSIM (current): 0.9589 (170) +[2024-05-20 15:58:00,040] - INFO: Evaluation over. +[2024-05-20 15:58:44,765] - INFO: Epoch 171/9999, Iter 17000: Loss = 0.011662319302558899, lr = [0.0001] +[2024-05-20 15:58:59,178] - INFO: Epoch 171/9999, Iter 17020: Loss = 0.018370863050222397, lr = [0.0001] +[2024-05-20 15:59:13,618] - INFO: Epoch 171/9999, Iter 17040: Loss = 0.013221967034041882, lr = [0.0001] +[2024-05-20 15:59:28,097] - INFO: Epoch 171/9999, Iter 17060: Loss = 0.015410025604069233, lr = [0.0001] +[2024-05-20 15:59:42,417] - INFO: Epoch 171/9999, Iter 17080: Loss = 0.013842202723026276, lr = [0.0001] +[2024-05-20 15:59:58,107] - INFO: Epoch 172/9999, Iter 17100: Loss = 0.009659582749009132, lr = [0.0001] +[2024-05-20 16:00:12,770] - INFO: Epoch 172/9999, Iter 17120: Loss = 0.011052924208343029, lr = [0.0001] +[2024-05-20 16:00:27,185] - INFO: Epoch 172/9999, Iter 17140: Loss = 0.00924036093056202, lr = [0.0001] +[2024-05-20 16:00:41,664] - INFO: Epoch 172/9999, Iter 17160: Loss = 0.009457884356379509, lr = [0.0001] +[2024-05-20 16:00:56,208] - INFO: Epoch 172/9999, Iter 17180: Loss = 0.008624873124063015, lr = [0.0001] +[2024-05-20 16:01:12,023] - INFO: Epoch 173/9999, Iter 17200: Loss = 0.023270629346370697, lr = [0.0001] +[2024-05-20 16:01:26,651] - INFO: Epoch 173/9999, Iter 17220: Loss = 0.013554560020565987, lr = [0.0001] +[2024-05-20 16:01:41,188] - INFO: Epoch 173/9999, Iter 17240: Loss = 0.013102931901812553, lr = [0.0001] +[2024-05-20 16:01:55,902] - INFO: Epoch 173/9999, Iter 17260: Loss = 0.019959772005677223, lr = [0.0001] +[2024-05-20 16:02:10,543] - INFO: Epoch 173/9999, Iter 17280: Loss = 0.027133217081427574, lr = [0.0001] +[2024-05-20 16:02:26,444] - INFO: Epoch 174/9999, Iter 17300: Loss = 0.015762921422719955, lr = [0.0001] +[2024-05-20 16:02:41,167] - INFO: Epoch 174/9999, Iter 17320: Loss = 0.014865751378238201, lr = [0.0001] +[2024-05-20 16:02:55,901] - INFO: Epoch 174/9999, Iter 17340: Loss = 0.007437806576490402, lr = [0.0001] +[2024-05-20 16:03:10,626] - INFO: Epoch 174/9999, Iter 17360: Loss = 0.007741054520010948, lr = [0.0001] +[2024-05-20 16:03:25,307] - INFO: Epoch 174/9999, Iter 17380: Loss = 0.015456773340702057, lr = [0.0001] +[2024-05-20 16:03:41,294] - INFO: Epoch 175/9999, Iter 17400: Loss = 0.01368516031652689, lr = [0.0001] +[2024-05-20 16:03:56,272] - INFO: Epoch 175/9999, Iter 17420: Loss = 0.015810364857316017, lr = [0.0001] +[2024-05-20 16:04:10,994] - INFO: Epoch 175/9999, Iter 17440: Loss = 0.009016746655106544, lr = [0.0001] +[2024-05-20 16:04:25,659] - INFO: Epoch 175/9999, Iter 17460: Loss = 0.01297029573470354, lr = [0.0001] +[2024-05-20 16:04:40,261] - INFO: Epoch 175/9999, Iter 17480: Loss = 0.012998276390135288, lr = [0.0001] +[2024-05-20 16:04:54,653] - INFO: Evaluate at epoch 175! +[2024-05-20 16:04:59,527] - INFO: Eval PSNR (max): 37.563 (150) SSIM (max): 0.9591 (150) +[2024-05-20 16:04:59,527] - INFO: Eval PSNR (current): 37.493 (175) SSIM (current): 0.9588 (175) +[2024-05-20 16:04:59,528] - INFO: Evaluation over. +[2024-05-20 16:05:47,867] - INFO: Epoch 176/9999, Iter 17500: Loss = 0.015462375245988369, lr = [0.0001] +[2024-05-20 16:06:02,464] - INFO: Epoch 176/9999, Iter 17520: Loss = 0.011052613146603107, lr = [0.0001] +[2024-05-20 16:06:16,949] - INFO: Epoch 176/9999, Iter 17540: Loss = 0.014099578373134136, lr = [0.0001] +[2024-05-20 16:06:31,399] - INFO: Epoch 176/9999, Iter 17560: Loss = 0.014146502129733562, lr = [0.0001] +[2024-05-20 16:06:45,874] - INFO: Epoch 176/9999, Iter 17580: Loss = 0.017156660556793213, lr = [0.0001] +[2024-05-20 16:07:01,552] - INFO: Epoch 177/9999, Iter 17600: Loss = 0.012144312262535095, lr = [0.0001] +[2024-05-20 16:07:16,076] - INFO: Epoch 177/9999, Iter 17620: Loss = 0.008959268219769001, lr = [0.0001] +[2024-05-20 16:07:30,545] - INFO: Epoch 177/9999, Iter 17640: Loss = 0.016863329336047173, lr = [0.0001] +[2024-05-20 16:07:45,228] - INFO: Epoch 177/9999, Iter 17660: Loss = 0.009815048426389694, lr = [0.0001] +[2024-05-20 16:07:59,788] - INFO: Epoch 177/9999, Iter 17680: Loss = 0.02015543170273304, lr = [0.0001] +[2024-05-20 16:08:15,428] - INFO: Epoch 178/9999, Iter 17700: Loss = 0.011866210959851742, lr = [0.0001] +[2024-05-20 16:08:30,047] - INFO: Epoch 178/9999, Iter 17720: Loss = 0.010304521769285202, lr = [0.0001] +[2024-05-20 16:08:44,628] - INFO: Epoch 178/9999, Iter 17740: Loss = 0.015018549747765064, lr = [0.0001] +[2024-05-20 16:08:59,309] - INFO: Epoch 178/9999, Iter 17760: Loss = 0.010495055466890335, lr = [0.0001] +[2024-05-20 16:09:13,972] - INFO: Epoch 178/9999, Iter 17780: Loss = 0.014384880661964417, lr = [0.0001] +[2024-05-20 16:09:30,048] - INFO: Epoch 179/9999, Iter 17800: Loss = 0.020493848249316216, lr = [0.0001] +[2024-05-20 16:09:45,872] - INFO: Epoch 179/9999, Iter 17820: Loss = 0.01570323295891285, lr = [0.0001] +[2024-05-20 16:10:00,604] - INFO: Epoch 179/9999, Iter 17840: Loss = 0.020473744720220566, lr = [0.0001] +[2024-05-20 16:10:15,398] - INFO: Epoch 179/9999, Iter 17860: Loss = 0.021577253937721252, lr = [0.0001] +[2024-05-20 16:10:30,139] - INFO: Epoch 179/9999, Iter 17880: Loss = 0.007190090604126453, lr = [0.0001] +[2024-05-20 16:10:46,091] - INFO: Epoch 180/9999, Iter 17900: Loss = 0.016696127131581306, lr = [0.0001] +[2024-05-20 16:11:00,916] - INFO: Epoch 180/9999, Iter 17920: Loss = 0.014388448558747768, lr = [0.0001] +[2024-05-20 16:11:15,710] - INFO: Epoch 180/9999, Iter 17940: Loss = 0.01709929294884205, lr = [0.0001] +[2024-05-20 16:11:30,499] - INFO: Epoch 180/9999, Iter 17960: Loss = 0.014067650772631168, lr = [0.0001] +[2024-05-20 16:11:45,352] - INFO: Epoch 180/9999, Iter 17980: Loss = 0.019326740875840187, lr = [0.0001] +[2024-05-20 16:11:59,827] - INFO: Evaluate at epoch 180! +[2024-05-20 16:12:04,783] - INFO: Eval PSNR (max): 37.563 (150) SSIM (max): 0.9591 (150) +[2024-05-20 16:12:04,783] - INFO: Eval PSNR (current): 37.523 (180) SSIM (current): 0.9570 (180) +[2024-05-20 16:12:04,783] - INFO: Evaluation over. +[2024-05-20 16:12:48,892] - INFO: Epoch 181/9999, Iter 18000: Loss = 0.015444365330040455, lr = [0.0001] +[2024-05-20 16:13:03,513] - INFO: Epoch 181/9999, Iter 18020: Loss = 0.010351450182497501, lr = [0.0001] +[2024-05-20 16:13:18,052] - INFO: Epoch 181/9999, Iter 18040: Loss = 0.014811615459620953, lr = [0.0001] +[2024-05-20 16:13:32,603] - INFO: Epoch 181/9999, Iter 18060: Loss = 0.013058099895715714, lr = [0.0001] +[2024-05-20 16:13:47,092] - INFO: Epoch 181/9999, Iter 18080: Loss = 0.012354967184364796, lr = [0.0001] +[2024-05-20 16:14:02,740] - INFO: Epoch 182/9999, Iter 18100: Loss = 0.02022281102836132, lr = [0.0001] +[2024-05-20 16:14:17,219] - INFO: Epoch 182/9999, Iter 18120: Loss = 0.011735237203538418, lr = [0.0001] +[2024-05-20 16:14:31,767] - INFO: Epoch 182/9999, Iter 18140: Loss = 0.00838127825409174, lr = [0.0001] +[2024-05-20 16:14:46,310] - INFO: Epoch 182/9999, Iter 18160: Loss = 0.02348344959318638, lr = [0.0001] +[2024-05-20 16:15:00,872] - INFO: Epoch 182/9999, Iter 18180: Loss = 0.009944386780261993, lr = [0.0001] +[2024-05-20 16:15:16,776] - INFO: Epoch 183/9999, Iter 18200: Loss = 0.00918908417224884, lr = [0.0001] +[2024-05-20 16:15:31,397] - INFO: Epoch 183/9999, Iter 18220: Loss = 0.02153852954506874, lr = [0.0001] +[2024-05-20 16:15:46,097] - INFO: Epoch 183/9999, Iter 18240: Loss = 0.00858569797128439, lr = [0.0001] +[2024-05-20 16:16:00,733] - INFO: Epoch 183/9999, Iter 18260: Loss = 0.02238484099507332, lr = [0.0001] +[2024-05-20 16:16:15,388] - INFO: Epoch 183/9999, Iter 18280: Loss = 0.02048172801733017, lr = [0.0001] +[2024-05-20 16:17:09,575] - INFO: Epoch 184/9999, Iter 18300: Loss = 0.005194136407226324, lr = [0.0001] +[2024-05-20 16:17:31,116] - INFO: Epoch 184/9999, Iter 18320: Loss = 0.021866699680685997, lr = [0.0001] +[2024-05-20 16:17:45,652] - INFO: Epoch 184/9999, Iter 18340: Loss = 0.014049713499844074, lr = [0.0001] +[2024-05-20 16:18:00,231] - INFO: Epoch 184/9999, Iter 18360: Loss = 0.013577711768448353, lr = [0.0001] +[2024-05-20 16:18:14,747] - INFO: Epoch 184/9999, Iter 18380: Loss = 0.022178102284669876, lr = [0.0001] +[2024-05-20 16:18:30,616] - INFO: Epoch 185/9999, Iter 18400: Loss = 0.015844648703932762, lr = [0.0001] +[2024-05-20 16:18:45,152] - INFO: Epoch 185/9999, Iter 18420: Loss = 0.013942420482635498, lr = [0.0001] +[2024-05-20 16:18:59,976] - INFO: Epoch 185/9999, Iter 18440: Loss = 0.011928785592317581, lr = [0.0001] +[2024-05-20 16:19:14,477] - INFO: Epoch 185/9999, Iter 18460: Loss = 0.010878662578761578, lr = [0.0001] +[2024-05-20 16:21:16,303] - INFO: Epoch 185/9999, Iter 18480: Loss = 0.013569805771112442, lr = [0.0001] +[2024-05-20 16:21:30,300] - INFO: Evaluate at epoch 185! +[2024-05-20 16:24:49,438] - INFO: Eval PSNR (max): 37.625 (185) SSIM (max): 0.9592 (185) +[2024-05-20 16:24:49,439] - INFO: Eval PSNR (current): 37.625 (185) SSIM (current): 0.9592 (185) +[2024-05-20 16:24:49,439] - INFO: Evaluation over. +[2024-05-20 16:25:34,047] - INFO: Epoch 186/9999, Iter 18500: Loss = 0.019783103838562965, lr = [0.0001] +[2024-05-20 16:25:48,252] - INFO: Epoch 186/9999, Iter 18520: Loss = 0.006926989648491144, lr = [0.0001] +[2024-05-20 16:26:02,488] - INFO: Epoch 186/9999, Iter 18540: Loss = 0.010484611615538597, lr = [0.0001] +[2024-05-20 16:26:16,723] - INFO: Epoch 186/9999, Iter 18560: Loss = 0.0066322446800768375, lr = [0.0001] +[2024-05-20 16:26:31,042] - INFO: Epoch 186/9999, Iter 18580: Loss = 0.01593730039894581, lr = [0.0001] +[2024-05-20 16:26:46,689] - INFO: Epoch 187/9999, Iter 18600: Loss = 0.008038397878408432, lr = [0.0001] +[2024-05-20 16:27:01,032] - INFO: Epoch 187/9999, Iter 18620: Loss = 0.012557433918118477, lr = [0.0001] +[2024-05-20 16:27:15,355] - INFO: Epoch 187/9999, Iter 18640: Loss = 0.021087799221277237, lr = [0.0001] +[2024-05-20 16:27:29,758] - INFO: Epoch 187/9999, Iter 18660: Loss = 0.009356184862554073, lr = [0.0001] +[2024-05-20 16:28:44,478] - INFO: Epoch 187/9999, Iter 18680: Loss = 0.013415453024208546, lr = [0.0001] +[2024-05-20 16:28:59,966] - INFO: Epoch 188/9999, Iter 18700: Loss = 0.009595165029168129, lr = [0.0001] +[2024-05-20 16:29:14,280] - INFO: Epoch 188/9999, Iter 18720: Loss = 0.012931512668728828, lr = [0.0001] +[2024-05-20 16:29:28,709] - INFO: Epoch 188/9999, Iter 18740: Loss = 0.02427198365330696, lr = [0.0001] +[2024-05-20 16:29:43,088] - INFO: Epoch 188/9999, Iter 18760: Loss = 0.012753020972013474, lr = [0.0001] +[2024-05-20 16:29:57,487] - INFO: Epoch 188/9999, Iter 18780: Loss = 0.008344925940036774, lr = [0.0001] +[2024-05-20 16:30:13,301] - INFO: Epoch 189/9999, Iter 18800: Loss = 0.020281242206692696, lr = [0.0001] +[2024-05-20 16:30:28,067] - INFO: Epoch 189/9999, Iter 18820: Loss = 0.024172673001885414, lr = [0.0001] +[2024-05-20 16:30:42,498] - INFO: Epoch 189/9999, Iter 18840: Loss = 0.011515652760863304, lr = [0.0001] +[2024-05-20 16:30:57,058] - INFO: Epoch 189/9999, Iter 18860: Loss = 0.010866660624742508, lr = [0.0001] +[2024-05-20 16:31:11,568] - INFO: Epoch 189/9999, Iter 18880: Loss = 0.01657862402498722, lr = [0.0001] +[2024-05-20 16:31:27,268] - INFO: Epoch 190/9999, Iter 18900: Loss = 0.011887498199939728, lr = [0.0001] +[2024-05-20 16:31:41,893] - INFO: Epoch 190/9999, Iter 18920: Loss = 0.014490509405732155, lr = [0.0001] +[2024-05-20 16:31:56,632] - INFO: Epoch 190/9999, Iter 18940: Loss = 0.01678655855357647, lr = [0.0001] +[2024-05-20 16:32:11,240] - INFO: Epoch 190/9999, Iter 18960: Loss = 0.015447634272277355, lr = [0.0001] +[2024-05-20 16:32:25,776] - INFO: Epoch 190/9999, Iter 18980: Loss = 0.014758635312318802, lr = [0.0001] +[2024-05-20 16:32:40,025] - INFO: Evaluate at epoch 190! +[2024-05-20 16:32:44,976] - INFO: Eval PSNR (max): 37.625 (185) SSIM (max): 0.9592 (185) +[2024-05-20 16:32:44,976] - INFO: Eval PSNR (current): 37.406 (190) SSIM (current): 0.9589 (190) +[2024-05-20 16:32:44,976] - INFO: Evaluation over. +[2024-05-20 16:33:29,327] - INFO: Epoch 191/9999, Iter 19000: Loss = 0.008293399587273598, lr = [0.0001] +[2024-05-20 16:33:43,783] - INFO: Epoch 191/9999, Iter 19020: Loss = 0.014858881942927837, lr = [0.0001] +[2024-05-20 16:33:58,220] - INFO: Epoch 191/9999, Iter 19040: Loss = 0.011466109193861485, lr = [0.0001] +[2024-05-20 16:34:12,804] - INFO: Epoch 191/9999, Iter 19060: Loss = 0.01720128394663334, lr = [0.0001] +[2024-05-20 16:34:27,228] - INFO: Epoch 191/9999, Iter 19080: Loss = 0.013898960314691067, lr = [0.0001] +[2024-05-20 16:34:42,937] - INFO: Epoch 192/9999, Iter 19100: Loss = 0.01404199656099081, lr = [0.0001] +[2024-05-20 16:34:57,438] - INFO: Epoch 192/9999, Iter 19120: Loss = 0.016183272004127502, lr = [0.0001] +[2024-05-20 16:35:11,887] - INFO: Epoch 192/9999, Iter 19140: Loss = 0.01690801791846752, lr = [0.0001] +[2024-05-20 16:35:26,464] - INFO: Epoch 192/9999, Iter 19160: Loss = 0.01213968824595213, lr = [0.0001] +[2024-05-20 16:35:41,061] - INFO: Epoch 192/9999, Iter 19180: Loss = 0.012848918326199055, lr = [0.0001] +[2024-05-20 16:36:11,020] - INFO: Epoch 193/9999, Iter 19200: Loss = 0.009124286472797394, lr = [0.0001] +[2024-05-20 16:36:26,854] - INFO: Epoch 193/9999, Iter 19220: Loss = 0.01637856476008892, lr = [0.0001] +[2024-05-20 16:39:43,269] - INFO: Epoch 193/9999, Iter 19240: Loss = 0.014957461506128311, lr = [0.0001] +[2024-05-20 16:39:57,588] - INFO: Epoch 193/9999, Iter 19260: Loss = 0.012885536067187786, lr = [0.0001] +[2024-05-20 16:40:11,849] - INFO: Epoch 193/9999, Iter 19280: Loss = 0.012189969420433044, lr = [0.0001] +[2024-05-20 16:40:27,306] - INFO: Epoch 194/9999, Iter 19300: Loss = 0.021043261513113976, lr = [0.0001] +[2024-05-20 16:40:41,708] - INFO: Epoch 194/9999, Iter 19320: Loss = 0.01995842158794403, lr = [0.0001] +[2024-05-20 16:40:56,112] - INFO: Epoch 194/9999, Iter 19340: Loss = 0.018659111112356186, lr = [0.0001] +[2024-05-20 16:41:10,512] - INFO: Epoch 194/9999, Iter 19360: Loss = 0.028110146522521973, lr = [0.0001] +[2024-05-20 16:41:24,995] - INFO: Epoch 194/9999, Iter 19380: Loss = 0.016004983335733414, lr = [0.0001] +[2024-05-20 16:41:40,668] - INFO: Epoch 195/9999, Iter 19400: Loss = 0.017049677670001984, lr = [0.0001] +[2024-05-20 16:41:55,218] - INFO: Epoch 195/9999, Iter 19420: Loss = 0.01666400022804737, lr = [0.0001] +[2024-05-20 16:42:09,744] - INFO: Epoch 195/9999, Iter 19440: Loss = 0.013601332902908325, lr = [0.0001] +[2024-05-20 16:42:24,250] - INFO: Epoch 195/9999, Iter 19460: Loss = 0.016135243698954582, lr = [0.0001] +[2024-05-20 16:42:38,923] - INFO: Epoch 195/9999, Iter 19480: Loss = 0.015409911051392555, lr = [0.0001] +[2024-05-20 16:42:53,118] - INFO: Evaluate at epoch 195! +[2024-05-20 16:44:23,897] - INFO: Eval PSNR (max): 37.650 (195) SSIM (max): 0.9593 (195) +[2024-05-20 16:44:23,898] - INFO: Eval PSNR (current): 37.650 (195) SSIM (current): 0.9593 (195) +[2024-05-20 16:44:23,898] - INFO: Evaluation over. +[2024-05-20 16:45:08,448] - INFO: Epoch 196/9999, Iter 19500: Loss = 0.01781257428228855, lr = [0.0001] +[2024-05-20 16:45:22,739] - INFO: Epoch 196/9999, Iter 19520: Loss = 0.01310413982719183, lr = [0.0001] +[2024-05-20 16:45:37,085] - INFO: Epoch 196/9999, Iter 19540: Loss = 0.014164761640131474, lr = [0.0001] +[2024-05-20 16:45:51,480] - INFO: Epoch 196/9999, Iter 19560: Loss = 0.01046628225594759, lr = [0.0001] +[2024-05-20 16:46:05,798] - INFO: Epoch 196/9999, Iter 19580: Loss = 0.013732810504734516, lr = [0.0001] +[2024-05-20 16:46:21,646] - INFO: Epoch 197/9999, Iter 19600: Loss = 0.007874945178627968, lr = [0.0001] +[2024-05-20 16:46:36,113] - INFO: Epoch 197/9999, Iter 19620: Loss = 0.016447631642222404, lr = [0.0001] +[2024-05-20 16:46:50,607] - INFO: Epoch 197/9999, Iter 19640: Loss = 0.007952661253511906, lr = [0.0001] +[2024-05-20 16:47:05,068] - INFO: Epoch 197/9999, Iter 19660: Loss = 0.012933413498103619, lr = [0.0001] +[2024-05-20 16:47:19,487] - INFO: Epoch 197/9999, Iter 19680: Loss = 0.018692396581172943, lr = [0.0001] +[2024-05-20 16:47:35,084] - INFO: Epoch 198/9999, Iter 19700: Loss = 0.014514093287289143, lr = [0.0001] +[2024-05-20 16:47:49,661] - INFO: Epoch 198/9999, Iter 19720: Loss = 0.015112588182091713, lr = [0.0001] +[2024-05-20 16:48:04,176] - INFO: Epoch 198/9999, Iter 19740: Loss = 0.017456378787755966, lr = [0.0001] +[2024-05-20 16:48:18,697] - INFO: Epoch 198/9999, Iter 19760: Loss = 0.01220375020056963, lr = [0.0001] +[2024-05-20 16:48:33,285] - INFO: Epoch 198/9999, Iter 19780: Loss = 0.012731242924928665, lr = [0.0001] +[2024-05-20 16:48:48,912] - INFO: Epoch 199/9999, Iter 19800: Loss = 0.014766693115234375, lr = [0.0001] +[2024-05-20 16:49:03,632] - INFO: Epoch 199/9999, Iter 19820: Loss = 0.009552279487252235, lr = [0.0001] +[2024-05-20 16:49:18,270] - INFO: Epoch 199/9999, Iter 19840: Loss = 0.013261042535305023, lr = [0.0001] +[2024-05-20 16:49:32,946] - INFO: Epoch 199/9999, Iter 19860: Loss = 0.0189792662858963, lr = [0.0001] +[2024-05-20 16:49:47,602] - INFO: Epoch 199/9999, Iter 19880: Loss = 0.015958085656166077, lr = [0.0001] +[2024-05-20 16:50:03,479] - INFO: Epoch 200/9999, Iter 19900: Loss = 0.013225549831986427, lr = [0.0001] +[2024-05-20 16:50:18,224] - INFO: Epoch 200/9999, Iter 19920: Loss = 0.01496855914592743, lr = [0.0001] +[2024-05-20 16:50:32,845] - INFO: Epoch 200/9999, Iter 19940: Loss = 0.013547077775001526, lr = [0.0001] +[2024-05-20 16:50:47,741] - INFO: Epoch 200/9999, Iter 19960: Loss = 0.014019881375133991, lr = [0.0001] +[2024-05-20 16:51:02,336] - INFO: Epoch 200/9999, Iter 19980: Loss = 0.00914139486849308, lr = [0.0001] +[2024-05-20 16:51:16,664] - INFO: Evaluate at epoch 200! +[2024-05-20 16:51:21,597] - INFO: Eval PSNR (max): 37.650 (195) SSIM (max): 0.9593 (195) +[2024-05-20 16:51:21,598] - INFO: Eval PSNR (current): 37.455 (200) SSIM (current): 0.9591 (200) +[2024-05-20 16:51:21,598] - INFO: Evaluation over. +[2024-05-20 16:52:06,864] - INFO: Epoch 201/9999, Iter 20000: Loss = 0.014082510955631733, lr = [0.0001] +[2024-05-20 16:52:21,360] - INFO: Epoch 201/9999, Iter 20020: Loss = 0.017642542719841003, lr = [0.0001] +[2024-05-20 16:52:35,892] - INFO: Epoch 201/9999, Iter 20040: Loss = 0.019876224920153618, lr = [0.0001] +[2024-05-20 16:52:50,416] - INFO: Epoch 201/9999, Iter 20060: Loss = 0.022473689168691635, lr = [0.0001] +[2024-05-20 16:53:04,967] - INFO: Epoch 201/9999, Iter 20080: Loss = 0.006812412291765213, lr = [0.0001] +[2024-05-20 16:53:20,692] - INFO: Epoch 202/9999, Iter 20100: Loss = 0.015293066389858723, lr = [0.0001] +[2024-05-20 16:53:35,254] - INFO: Epoch 202/9999, Iter 20120: Loss = 0.015521617606282234, lr = [0.0001] +[2024-05-20 16:53:49,768] - INFO: Epoch 202/9999, Iter 20140: Loss = 0.021074354648590088, lr = [0.0001] +[2024-05-20 16:54:04,345] - INFO: Epoch 202/9999, Iter 20160: Loss = 0.008336053229868412, lr = [0.0001] +[2024-05-20 16:54:18,882] - INFO: Epoch 202/9999, Iter 20180: Loss = 0.012585542164742947, lr = [0.0001] +[2024-05-20 16:54:34,800] - INFO: Epoch 203/9999, Iter 20200: Loss = 0.007426913361996412, lr = [0.0001] +[2024-05-20 16:54:49,625] - INFO: Epoch 203/9999, Iter 20220: Loss = 0.014849452301859856, lr = [0.0001] +[2024-05-20 16:55:04,326] - INFO: Epoch 203/9999, Iter 20240: Loss = 0.0187826007604599, lr = [0.0001] +[2024-05-20 16:55:18,952] - INFO: Epoch 203/9999, Iter 20260: Loss = 0.017022190615534782, lr = [0.0001] +[2024-05-20 16:55:33,734] - INFO: Epoch 203/9999, Iter 20280: Loss = 0.0102229043841362, lr = [0.0001] +[2024-05-20 16:55:49,695] - INFO: Epoch 204/9999, Iter 20300: Loss = 0.006589928176254034, lr = [0.0001] +[2024-05-20 16:56:04,518] - INFO: Epoch 204/9999, Iter 20320: Loss = 0.01612621359527111, lr = [0.0001] +[2024-05-20 16:56:19,271] - INFO: Epoch 204/9999, Iter 20340: Loss = 0.01640871725976467, lr = [0.0001] +[2024-05-20 16:56:34,011] - INFO: Epoch 204/9999, Iter 20360: Loss = 0.011261922307312489, lr = [0.0001] +[2024-05-20 16:56:48,764] - INFO: Epoch 204/9999, Iter 20380: Loss = 0.012482084333896637, lr = [0.0001] +[2024-05-20 16:57:04,625] - INFO: Epoch 205/9999, Iter 20400: Loss = 0.011495349928736687, lr = [0.0001] +[2024-05-20 16:57:19,456] - INFO: Epoch 205/9999, Iter 20420: Loss = 0.0147526441141963, lr = [0.0001] +[2024-05-20 16:57:34,288] - INFO: Epoch 205/9999, Iter 20440: Loss = 0.018163403496146202, lr = [0.0001] +[2024-05-20 16:57:49,050] - INFO: Epoch 205/9999, Iter 20460: Loss = 0.017825331538915634, lr = [0.0001] +[2024-05-20 16:58:03,856] - INFO: Epoch 205/9999, Iter 20480: Loss = 0.010228956118226051, lr = [0.0001] +[2024-05-20 16:58:18,393] - INFO: Evaluate at epoch 205! +[2024-05-20 16:58:23,111] - INFO: Eval PSNR (max): 37.650 (195) SSIM (max): 0.9593 (195) +[2024-05-20 16:58:23,111] - INFO: Eval PSNR (current): 37.481 (205) SSIM (current): 0.9589 (205) +[2024-05-20 16:58:23,111] - INFO: Evaluation over. +[2024-05-20 17:02:25,434] - INFO: Epoch 206/9999, Iter 20500: Loss = 0.0166833084076643, lr = [0.0001] +[2024-05-20 17:05:54,854] - INFO: Epoch 206/9999, Iter 20520: Loss = 0.011498109437525272, lr = [0.0001] +[2024-05-20 17:06:09,105] - INFO: Epoch 206/9999, Iter 20540: Loss = 0.015770921483635902, lr = [0.0001] +[2024-05-20 17:06:23,376] - INFO: Epoch 206/9999, Iter 20560: Loss = 0.024752413854002953, lr = [0.0001] +[2024-05-20 17:06:37,707] - INFO: Epoch 206/9999, Iter 20580: Loss = 0.022479113191366196, lr = [0.0001] +[2024-05-20 17:06:53,090] - INFO: Epoch 207/9999, Iter 20600: Loss = 0.011260008439421654, lr = [0.0001] +[2024-05-20 17:07:07,545] - INFO: Epoch 207/9999, Iter 20620: Loss = 0.020471714437007904, lr = [0.0001] +[2024-05-20 17:07:21,848] - INFO: Epoch 207/9999, Iter 20640: Loss = 0.012583794072270393, lr = [0.0001] +[2024-05-20 17:07:36,200] - INFO: Epoch 207/9999, Iter 20660: Loss = 0.019662750884890556, lr = [0.0001] +[2024-05-20 17:07:50,622] - INFO: Epoch 207/9999, Iter 20680: Loss = 0.019955841824412346, lr = [0.0001] +[2024-05-20 17:08:06,153] - INFO: Epoch 208/9999, Iter 20700: Loss = 0.017270386219024658, lr = [0.0001] +[2024-05-20 17:08:20,820] - INFO: Epoch 208/9999, Iter 20720: Loss = 0.017489170655608177, lr = [0.0001] +[2024-05-20 17:08:35,372] - INFO: Epoch 208/9999, Iter 20740: Loss = 0.011979312635958195, lr = [0.0001] +[2024-05-20 17:08:49,887] - INFO: Epoch 208/9999, Iter 20760: Loss = 0.020507875829935074, lr = [0.0001] +[2024-05-20 17:09:04,381] - INFO: Epoch 208/9999, Iter 20780: Loss = 0.014387804083526134, lr = [0.0001] +[2024-05-20 17:09:20,051] - INFO: Epoch 209/9999, Iter 20800: Loss = 0.007976270280778408, lr = [0.0001] +[2024-05-20 17:09:34,649] - INFO: Epoch 209/9999, Iter 20820: Loss = 0.01511910930275917, lr = [0.0001] +[2024-05-20 17:09:49,405] - INFO: Epoch 209/9999, Iter 20840: Loss = 0.0055909971706569195, lr = [0.0001] +[2024-05-20 17:10:04,048] - INFO: Epoch 209/9999, Iter 20860: Loss = 0.020086700096726418, lr = [0.0001] +[2024-05-20 17:10:18,718] - INFO: Epoch 209/9999, Iter 20880: Loss = 0.012784982100129128, lr = [0.0001] +[2024-05-20 17:10:34,616] - INFO: Epoch 210/9999, Iter 20900: Loss = 0.0167975053191185, lr = [0.0001] +[2024-05-20 17:10:49,384] - INFO: Epoch 210/9999, Iter 20920: Loss = 0.02110057696700096, lr = [0.0001] +[2024-05-20 17:11:04,059] - INFO: Epoch 210/9999, Iter 20940: Loss = 0.014733397401869297, lr = [0.0001] +[2024-05-20 17:11:18,755] - INFO: Epoch 210/9999, Iter 20960: Loss = 0.010375435464084148, lr = [0.0001] +[2024-05-20 17:11:33,440] - INFO: Epoch 210/9999, Iter 20980: Loss = 0.012911738827824593, lr = [0.0001] +[2024-05-20 17:11:48,038] - INFO: Evaluate at epoch 210! +[2024-05-20 17:11:55,121] - INFO: Eval PSNR (max): 37.650 (195) SSIM (max): 0.9593 (195) +[2024-05-20 17:11:55,121] - INFO: Eval PSNR (current): 37.603 (210) SSIM (current): 0.9592 (210) +[2024-05-20 17:11:55,121] - INFO: Evaluation over. +[2024-05-20 17:14:31,400] - INFO: Epoch 211/9999, Iter 21000: Loss = 0.012619523331522942, lr = [0.0001] +[2024-05-20 17:14:45,624] - INFO: Epoch 211/9999, Iter 21020: Loss = 0.008811663836240768, lr = [0.0001] +[2024-05-20 17:15:15,524] - INFO: Epoch 211/9999, Iter 21040: Loss = 0.009817981161177158, lr = [0.0001] +[2024-05-20 17:15:29,859] - INFO: Epoch 211/9999, Iter 21060: Loss = 0.007579912431538105, lr = [0.0001] +[2024-05-20 17:15:44,224] - INFO: Epoch 211/9999, Iter 21080: Loss = 0.01750858500599861, lr = [0.0001] +[2024-05-20 17:15:59,760] - INFO: Epoch 212/9999, Iter 21100: Loss = 0.015832629054784775, lr = [0.0001] +[2024-05-20 17:16:14,352] - INFO: Epoch 212/9999, Iter 21120: Loss = 0.013814471662044525, lr = [0.0001] +[2024-05-20 17:16:28,860] - INFO: Epoch 212/9999, Iter 21140: Loss = 0.0075034755282104015, lr = [0.0001] +[2024-05-20 17:16:43,354] - INFO: Epoch 212/9999, Iter 21160: Loss = 0.0152242137119174, lr = [0.0001] +[2024-05-20 17:16:57,775] - INFO: Epoch 212/9999, Iter 21180: Loss = 0.014159811660647392, lr = [0.0001] +[2024-05-20 17:17:13,636] - INFO: Epoch 213/9999, Iter 21200: Loss = 0.014609352685511112, lr = [0.0001] +[2024-05-20 17:17:28,272] - INFO: Epoch 213/9999, Iter 21220: Loss = 0.024746306240558624, lr = [0.0001] +[2024-05-20 17:17:42,813] - INFO: Epoch 213/9999, Iter 21240: Loss = 0.013413295149803162, lr = [0.0001] +[2024-05-20 17:18:02,336] - INFO: Epoch 213/9999, Iter 21260: Loss = 0.00671621598303318, lr = [0.0001] +[2024-05-20 17:18:33,464] - INFO: Epoch 213/9999, Iter 21280: Loss = 0.01751136966049671, lr = [0.0001] +[2024-05-20 17:18:49,120] - INFO: Epoch 214/9999, Iter 21300: Loss = 0.008686184883117676, lr = [0.0001] +[2024-05-20 17:19:03,654] - INFO: Epoch 214/9999, Iter 21320: Loss = 0.020949481055140495, lr = [0.0001] +[2024-05-20 17:19:18,220] - INFO: Epoch 214/9999, Iter 21340: Loss = 0.014867739751935005, lr = [0.0001] +[2024-05-20 17:19:32,775] - INFO: Epoch 214/9999, Iter 21360: Loss = 0.018532492220401764, lr = [0.0001] +[2024-05-20 17:19:47,256] - INFO: Epoch 214/9999, Iter 21380: Loss = 0.012627923861145973, lr = [0.0001] +[2024-05-20 17:20:03,025] - INFO: Epoch 215/9999, Iter 21400: Loss = 0.015529409982264042, lr = [0.0001] +[2024-05-20 17:20:17,616] - INFO: Epoch 215/9999, Iter 21420: Loss = 0.014094231650233269, lr = [0.0001] +[2024-05-20 17:20:32,163] - INFO: Epoch 215/9999, Iter 21440: Loss = 0.012646348215639591, lr = [0.0001] +[2024-05-20 17:20:46,848] - INFO: Epoch 215/9999, Iter 21460: Loss = 0.008276567794382572, lr = [0.0001] +[2024-05-20 17:21:01,504] - INFO: Epoch 215/9999, Iter 21480: Loss = 0.006636109668761492, lr = [0.0001] +[2024-05-20 17:22:16,838] - INFO: Evaluate at epoch 215! +[2024-05-20 17:23:47,688] - INFO: Eval PSNR (max): 37.656 (215) SSIM (max): 0.9597 (215) +[2024-05-20 17:23:47,689] - INFO: Eval PSNR (current): 37.656 (215) SSIM (current): 0.9597 (215) +[2024-05-20 17:23:47,689] - INFO: Evaluation over. +[2024-05-20 17:24:32,250] - INFO: Epoch 216/9999, Iter 21500: Loss = 0.010539389215409756, lr = [0.0001] +[2024-05-20 17:24:46,554] - INFO: Epoch 216/9999, Iter 21520: Loss = 0.012903284281492233, lr = [0.0001] +[2024-05-20 17:25:00,819] - INFO: Epoch 216/9999, Iter 21540: Loss = 0.0157480351626873, lr = [0.0001] +[2024-05-20 17:25:15,168] - INFO: Epoch 216/9999, Iter 21560: Loss = 0.016916591674089432, lr = [0.0001] +[2024-05-20 17:25:29,486] - INFO: Epoch 216/9999, Iter 21580: Loss = 0.017812762409448624, lr = [0.0001] +[2024-05-20 17:25:45,204] - INFO: Epoch 217/9999, Iter 21600: Loss = 0.012526560574769974, lr = [0.0001] +[2024-05-20 17:25:59,722] - INFO: Epoch 217/9999, Iter 21620: Loss = 0.010514343157410622, lr = [0.0001] +[2024-05-20 17:26:14,192] - INFO: Epoch 217/9999, Iter 21640: Loss = 0.00903505552560091, lr = [0.0001] +[2024-05-20 17:26:28,556] - INFO: Epoch 217/9999, Iter 21660: Loss = 0.012097726576030254, lr = [0.0001] +[2024-05-20 17:26:43,106] - INFO: Epoch 217/9999, Iter 21680: Loss = 0.030019018799066544, lr = [0.0001] +[2024-05-20 17:26:58,882] - INFO: Epoch 218/9999, Iter 21700: Loss = 0.01087728887796402, lr = [0.0001] +[2024-05-20 17:27:13,540] - INFO: Epoch 218/9999, Iter 21720: Loss = 0.02293645218014717, lr = [0.0001] +[2024-05-20 17:27:28,078] - INFO: Epoch 218/9999, Iter 21740: Loss = 0.012310410849750042, lr = [0.0001] +[2024-05-20 17:27:42,896] - INFO: Epoch 218/9999, Iter 21760: Loss = 0.009726105257868767, lr = [0.0001] +[2024-05-20 17:27:57,508] - INFO: Epoch 218/9999, Iter 21780: Loss = 0.009322400204837322, lr = [0.0001] +[2024-05-20 17:28:13,328] - INFO: Epoch 219/9999, Iter 21800: Loss = 0.012948433868587017, lr = [0.0001] +[2024-05-20 17:28:28,068] - INFO: Epoch 219/9999, Iter 21820: Loss = 0.019780928269028664, lr = [0.0001] +[2024-05-20 17:28:42,720] - INFO: Epoch 219/9999, Iter 21840: Loss = 0.012540444731712341, lr = [0.0001] +[2024-05-20 17:28:57,427] - INFO: Epoch 219/9999, Iter 21860: Loss = 0.012818972580134869, lr = [0.0001] +[2024-05-20 17:29:12,106] - INFO: Epoch 219/9999, Iter 21880: Loss = 0.018582310527563095, lr = [0.0001] +[2024-05-20 17:29:28,226] - INFO: Epoch 220/9999, Iter 21900: Loss = 0.01422384474426508, lr = [0.0001] +[2024-05-20 17:29:43,080] - INFO: Epoch 220/9999, Iter 21920: Loss = 0.010245378129184246, lr = [0.0001] +[2024-05-20 17:29:57,777] - INFO: Epoch 220/9999, Iter 21940: Loss = 0.01464363094419241, lr = [0.0001] +[2024-05-20 17:30:12,577] - INFO: Epoch 220/9999, Iter 21960: Loss = 0.014188329689204693, lr = [0.0001] +[2024-05-20 17:30:27,326] - INFO: Epoch 220/9999, Iter 21980: Loss = 0.006953156553208828, lr = [0.0001] +[2024-05-20 17:30:41,765] - INFO: Evaluate at epoch 220! +[2024-05-20 17:30:46,545] - INFO: Eval PSNR (max): 37.656 (215) SSIM (max): 0.9597 (215) +[2024-05-20 17:30:46,545] - INFO: Eval PSNR (current): 37.155 (220) SSIM (current): 0.9570 (220) +[2024-05-20 17:30:46,545] - INFO: Evaluation over. +[2024-05-20 17:31:31,376] - INFO: Epoch 221/9999, Iter 22000: Loss = 0.009253330528736115, lr = [0.0001] +[2024-05-20 17:31:45,913] - INFO: Epoch 221/9999, Iter 22020: Loss = 0.010107872076332569, lr = [0.0001] +[2024-05-20 17:32:00,359] - INFO: Epoch 221/9999, Iter 22040: Loss = 0.012808263301849365, lr = [0.0001] +[2024-05-20 17:32:14,850] - INFO: Epoch 221/9999, Iter 22060: Loss = 0.014654476195573807, lr = [0.0001] +[2024-05-20 17:32:29,407] - INFO: Epoch 221/9999, Iter 22080: Loss = 0.025224685668945312, lr = [0.0001] +[2024-05-20 17:32:45,218] - INFO: Epoch 222/9999, Iter 22100: Loss = 0.012161660939455032, lr = [0.0001] +[2024-05-20 17:32:59,819] - INFO: Epoch 222/9999, Iter 22120: Loss = 0.012380651198327541, lr = [0.0001] +[2024-05-20 17:33:14,461] - INFO: Epoch 222/9999, Iter 22140: Loss = 0.019976899027824402, lr = [0.0001] +[2024-05-20 17:33:29,098] - INFO: Epoch 222/9999, Iter 22160: Loss = 0.012094122357666492, lr = [0.0001] +[2024-05-20 17:33:43,809] - INFO: Epoch 222/9999, Iter 22180: Loss = 0.009550732560455799, lr = [0.0001] +[2024-05-20 17:33:59,817] - INFO: Epoch 223/9999, Iter 22200: Loss = 0.007104142569005489, lr = [0.0001] +[2024-05-20 17:34:14,634] - INFO: Epoch 223/9999, Iter 22220: Loss = 0.026178177446126938, lr = [0.0001] +[2024-05-20 17:34:29,318] - INFO: Epoch 223/9999, Iter 22240: Loss = 0.008481580764055252, lr = [0.0001] +[2024-05-20 17:34:44,015] - INFO: Epoch 223/9999, Iter 22260: Loss = 0.013676125556230545, lr = [0.0001] +[2024-05-20 17:34:58,752] - INFO: Epoch 223/9999, Iter 22280: Loss = 0.010002202354371548, lr = [0.0001] +[2024-05-20 17:35:14,644] - INFO: Epoch 224/9999, Iter 22300: Loss = 0.018672313541173935, lr = [0.0001] +[2024-05-20 17:35:29,435] - INFO: Epoch 224/9999, Iter 22320: Loss = 0.017884332686662674, lr = [0.0001] +[2024-05-20 17:35:44,208] - INFO: Epoch 224/9999, Iter 22340: Loss = 0.008688608184456825, lr = [0.0001] +[2024-05-20 17:35:58,951] - INFO: Epoch 224/9999, Iter 22360: Loss = 0.02403249219059944, lr = [0.0001] +[2024-05-20 17:36:13,712] - INFO: Epoch 224/9999, Iter 22380: Loss = 0.013710607774555683, lr = [0.0001] +[2024-05-20 17:36:29,680] - INFO: Epoch 225/9999, Iter 22400: Loss = 0.021180346608161926, lr = [0.0001] +[2024-05-20 17:36:44,476] - INFO: Epoch 225/9999, Iter 22420: Loss = 0.01351788081228733, lr = [0.0001] +[2024-05-20 17:36:59,194] - INFO: Epoch 225/9999, Iter 22440: Loss = 0.021397553384304047, lr = [0.0001] +[2024-05-20 17:37:15,416] - INFO: Epoch 225/9999, Iter 22460: Loss = 0.011266798712313175, lr = [0.0001] +[2024-05-20 17:37:30,080] - INFO: Epoch 225/9999, Iter 22480: Loss = 0.015055508352816105, lr = [0.0001] +[2024-05-20 17:37:44,619] - INFO: Evaluate at epoch 225! +[2024-05-20 17:37:49,365] - INFO: Eval PSNR (max): 37.656 (215) SSIM (max): 0.9597 (215) +[2024-05-20 17:37:49,365] - INFO: Eval PSNR (current): 37.399 (225) SSIM (current): 0.9579 (225) +[2024-05-20 17:37:49,365] - INFO: Evaluation over. +[2024-05-20 17:38:34,200] - INFO: Epoch 226/9999, Iter 22500: Loss = 0.020501483231782913, lr = [0.0001] +[2024-05-20 17:38:48,730] - INFO: Epoch 226/9999, Iter 22520: Loss = 0.015615426003932953, lr = [0.0001] +[2024-05-20 17:39:03,308] - INFO: Epoch 226/9999, Iter 22540: Loss = 0.009421522729098797, lr = [0.0001] +[2024-05-20 17:39:17,805] - INFO: Epoch 226/9999, Iter 22560: Loss = 0.01978960819542408, lr = [0.0001] +[2024-05-20 17:39:32,284] - INFO: Epoch 226/9999, Iter 22580: Loss = 0.014307981356978416, lr = [0.0001] +[2024-05-20 17:39:48,163] - INFO: Epoch 227/9999, Iter 22600: Loss = 0.010995342396199703, lr = [0.0001] +[2024-05-20 17:40:02,744] - INFO: Epoch 227/9999, Iter 22620: Loss = 0.01824636198580265, lr = [0.0001] +[2024-05-20 17:40:17,336] - INFO: Epoch 227/9999, Iter 22640: Loss = 0.012019718997180462, lr = [0.0001] +[2024-05-20 17:40:31,924] - INFO: Epoch 227/9999, Iter 22660: Loss = 0.015920080244541168, lr = [0.0001] +[2024-05-20 17:40:46,562] - INFO: Epoch 227/9999, Iter 22680: Loss = 0.008137828670442104, lr = [0.0001] +[2024-05-20 17:41:02,302] - INFO: Epoch 228/9999, Iter 22700: Loss = 0.013147782534360886, lr = [0.0001] +[2024-05-20 17:41:17,013] - INFO: Epoch 228/9999, Iter 22720: Loss = 0.019558120518922806, lr = [0.0001] +[2024-05-20 17:41:31,677] - INFO: Epoch 228/9999, Iter 22740: Loss = 0.01870473101735115, lr = [0.0001] +[2024-05-20 17:41:46,321] - INFO: Epoch 228/9999, Iter 22760: Loss = 0.006456334143877029, lr = [0.0001] +[2024-05-20 17:42:01,042] - INFO: Epoch 228/9999, Iter 22780: Loss = 0.014669369906187057, lr = [0.0001] +[2024-05-20 17:42:16,942] - INFO: Epoch 229/9999, Iter 22800: Loss = 0.015736684203147888, lr = [0.0001] +[2024-05-20 17:42:31,784] - INFO: Epoch 229/9999, Iter 22820: Loss = 0.012928185984492302, lr = [0.0001] +[2024-05-20 17:42:46,576] - INFO: Epoch 229/9999, Iter 22840: Loss = 0.012036287225782871, lr = [0.0001] +[2024-05-20 17:43:01,436] - INFO: Epoch 229/9999, Iter 22860: Loss = 0.015320022590458393, lr = [0.0001] +[2024-05-20 17:43:16,302] - INFO: Epoch 229/9999, Iter 22880: Loss = 0.012284226715564728, lr = [0.0001] +[2024-05-20 17:43:32,208] - INFO: Epoch 230/9999, Iter 22900: Loss = 0.00890906061977148, lr = [0.0001] +[2024-05-20 17:43:47,047] - INFO: Epoch 230/9999, Iter 22920: Loss = 0.01227472722530365, lr = [0.0001] +[2024-05-20 17:44:01,749] - INFO: Epoch 230/9999, Iter 22940: Loss = 0.008213849738240242, lr = [0.0001] +[2024-05-20 17:44:16,414] - INFO: Epoch 230/9999, Iter 22960: Loss = 0.011641869321465492, lr = [0.0001] +[2024-05-20 17:44:31,071] - INFO: Epoch 230/9999, Iter 22980: Loss = 0.007461267523467541, lr = [0.0001] +[2024-05-20 17:44:45,458] - INFO: Evaluate at epoch 230! +[2024-05-20 17:44:50,294] - INFO: Eval PSNR (max): 37.656 (215) SSIM (max): 0.9597 (215) +[2024-05-20 17:44:50,294] - INFO: Eval PSNR (current): 37.263 (230) SSIM (current): 0.9589 (230) +[2024-05-20 17:44:50,294] - INFO: Evaluation over. +[2024-05-20 17:45:35,165] - INFO: Epoch 231/9999, Iter 23000: Loss = 0.011363031342625618, lr = [0.0001] +[2024-05-20 17:45:49,655] - INFO: Epoch 231/9999, Iter 23020: Loss = 0.014310638420283794, lr = [0.0001] +[2024-05-20 17:46:04,128] - INFO: Epoch 231/9999, Iter 23040: Loss = 0.01408001035451889, lr = [0.0001] +[2024-05-20 17:46:18,526] - INFO: Epoch 231/9999, Iter 23060: Loss = 0.010530193336308002, lr = [0.0001] +[2024-05-20 17:46:32,951] - INFO: Epoch 231/9999, Iter 23080: Loss = 0.018118105828762054, lr = [0.0001] +[2024-05-20 17:46:48,644] - INFO: Epoch 232/9999, Iter 23100: Loss = 0.012912163510918617, lr = [0.0001] +[2024-05-20 17:47:03,108] - INFO: Epoch 232/9999, Iter 23120: Loss = 0.012238146737217903, lr = [0.0001] +[2024-05-20 17:47:17,639] - INFO: Epoch 232/9999, Iter 23140: Loss = 0.009121940471231937, lr = [0.0001] +[2024-05-20 17:47:32,231] - INFO: Epoch 232/9999, Iter 23160: Loss = 0.016801733523607254, lr = [0.0001] +[2024-05-20 17:47:46,782] - INFO: Epoch 232/9999, Iter 23180: Loss = 0.013822540640830994, lr = [0.0001] +[2024-05-20 17:48:02,704] - INFO: Epoch 233/9999, Iter 23200: Loss = 0.013156396336853504, lr = [0.0001] +[2024-05-20 17:48:17,376] - INFO: Epoch 233/9999, Iter 23220: Loss = 0.019521376118063927, lr = [0.0001] +[2024-05-20 17:48:32,045] - INFO: Epoch 233/9999, Iter 23240: Loss = 0.013922283425927162, lr = [0.0001] +[2024-05-20 17:48:46,648] - INFO: Epoch 233/9999, Iter 23260: Loss = 0.017245247960090637, lr = [0.0001] +[2024-05-20 17:49:01,389] - INFO: Epoch 233/9999, Iter 23280: Loss = 0.026373419910669327, lr = [0.0001] +[2024-05-20 17:49:17,486] - INFO: Epoch 234/9999, Iter 23300: Loss = 0.014927498064935207, lr = [0.0001] +[2024-05-20 17:49:32,232] - INFO: Epoch 234/9999, Iter 23320: Loss = 0.01773028075695038, lr = [0.0001] +[2024-05-20 17:49:47,008] - INFO: Epoch 234/9999, Iter 23340: Loss = 0.02059333212673664, lr = [0.0001] +[2024-05-20 17:50:01,771] - INFO: Epoch 234/9999, Iter 23360: Loss = 0.016878463327884674, lr = [0.0001] +[2024-05-20 17:50:16,473] - INFO: Epoch 234/9999, Iter 23380: Loss = 0.016063813120126724, lr = [0.0001] +[2024-05-20 17:50:32,748] - INFO: Epoch 235/9999, Iter 23400: Loss = 0.02369537390768528, lr = [0.0001] +[2024-05-20 17:50:47,573] - INFO: Epoch 235/9999, Iter 23420: Loss = 0.015025133267045021, lr = [0.0001] +[2024-05-20 17:51:02,350] - INFO: Epoch 235/9999, Iter 23440: Loss = 0.004352304618805647, lr = [0.0001] +[2024-05-20 17:51:17,216] - INFO: Epoch 235/9999, Iter 23460: Loss = 0.015021396800875664, lr = [0.0001] +[2024-05-20 17:51:32,077] - INFO: Epoch 235/9999, Iter 23480: Loss = 0.00763168279081583, lr = [0.0001] +[2024-05-20 17:51:46,601] - INFO: Evaluate at epoch 235! +[2024-05-20 17:51:51,499] - INFO: Eval PSNR (max): 37.656 (215) SSIM (max): 0.9597 (215) +[2024-05-20 17:51:51,499] - INFO: Eval PSNR (current): 37.587 (235) SSIM (current): 0.9595 (235) +[2024-05-20 17:51:51,500] - INFO: Evaluation over. +[2024-05-20 17:52:36,163] - INFO: Epoch 236/9999, Iter 23500: Loss = 0.012712346389889717, lr = [0.0001] +[2024-05-20 17:52:50,879] - INFO: Epoch 236/9999, Iter 23520: Loss = 0.01271357387304306, lr = [0.0001] +[2024-05-20 17:53:05,443] - INFO: Epoch 236/9999, Iter 23540: Loss = 0.013955596834421158, lr = [0.0001] +[2024-05-20 17:53:19,992] - INFO: Epoch 236/9999, Iter 23560: Loss = 0.009817717596888542, lr = [0.0001] +[2024-05-20 17:53:34,512] - INFO: Epoch 236/9999, Iter 23580: Loss = 0.016647877171635628, lr = [0.0001] +[2024-05-20 17:53:50,416] - INFO: Epoch 237/9999, Iter 23600: Loss = 0.021543409675359726, lr = [0.0001] +[2024-05-20 17:54:04,980] - INFO: Epoch 237/9999, Iter 23620: Loss = 0.017038393765687943, lr = [0.0001] +[2024-05-20 17:54:19,532] - INFO: Epoch 237/9999, Iter 23640: Loss = 0.008320072665810585, lr = [0.0001] +[2024-05-20 17:54:34,207] - INFO: Epoch 237/9999, Iter 23660: Loss = 0.01134144514799118, lr = [0.0001] +[2024-05-20 17:54:48,901] - INFO: Epoch 237/9999, Iter 23680: Loss = 0.016930902376770973, lr = [0.0001] +[2024-05-20 17:55:04,760] - INFO: Epoch 238/9999, Iter 23700: Loss = 0.009134874679148197, lr = [0.0001] +[2024-05-20 17:55:19,479] - INFO: Epoch 238/9999, Iter 23720: Loss = 0.011158795095980167, lr = [0.0001] +[2024-05-20 17:55:34,069] - INFO: Epoch 238/9999, Iter 23740: Loss = 0.009370165877044201, lr = [0.0001] +[2024-05-20 17:55:48,777] - INFO: Epoch 238/9999, Iter 23760: Loss = 0.010391966439783573, lr = [0.0001] +[2024-05-20 17:56:03,438] - INFO: Epoch 238/9999, Iter 23780: Loss = 0.0087777404114604, lr = [0.0001] +[2024-05-20 17:56:19,495] - INFO: Epoch 239/9999, Iter 23800: Loss = 0.011191928759217262, lr = [0.0001] +[2024-05-20 17:56:34,259] - INFO: Epoch 239/9999, Iter 23820: Loss = 0.009803262539207935, lr = [0.0001] +[2024-05-20 17:56:49,064] - INFO: Epoch 239/9999, Iter 23840: Loss = 0.010803964920341969, lr = [0.0001] +[2024-05-20 17:57:03,909] - INFO: Epoch 239/9999, Iter 23860: Loss = 0.015374589711427689, lr = [0.0001] +[2024-05-20 17:57:18,700] - INFO: Epoch 239/9999, Iter 23880: Loss = 0.01730976067483425, lr = [0.0001] +[2024-05-20 17:57:34,686] - INFO: Epoch 240/9999, Iter 23900: Loss = 0.01862933114171028, lr = [0.0001] +[2024-05-20 17:57:49,609] - INFO: Epoch 240/9999, Iter 23920: Loss = 0.01621735282242298, lr = [0.0001] +[2024-05-20 17:58:07,383] - INFO: Epoch 240/9999, Iter 23940: Loss = 0.010714654810726643, lr = [0.0001] +[2024-05-20 17:58:22,852] - INFO: Epoch 240/9999, Iter 23960: Loss = 0.018245436251163483, lr = [0.0001] +[2024-05-20 17:58:37,557] - INFO: Epoch 240/9999, Iter 23980: Loss = 0.00665438175201416, lr = [0.0001] +[2024-05-20 17:58:51,901] - INFO: Evaluate at epoch 240! +[2024-05-20 17:58:57,121] - INFO: Eval PSNR (max): 37.656 (215) SSIM (max): 0.9597 (215) +[2024-05-20 17:58:57,122] - INFO: Eval PSNR (current): 37.526 (240) SSIM (current): 0.9591 (240) +[2024-05-20 17:58:57,122] - INFO: Evaluation over. +[2024-05-20 18:00:09,647] - INFO: Epoch 241/9999, Iter 24000: Loss = 0.011691744439303875, lr = [0.0001] +[2024-05-20 18:00:24,093] - INFO: Epoch 241/9999, Iter 24020: Loss = 0.016554299741983414, lr = [0.0001] +[2024-05-20 18:00:38,706] - INFO: Epoch 241/9999, Iter 24040: Loss = 0.013871741481125355, lr = [0.0001] +[2024-05-20 18:00:53,285] - INFO: Epoch 241/9999, Iter 24060: Loss = 0.01662510074675083, lr = [0.0001] +[2024-05-20 18:01:07,792] - INFO: Epoch 241/9999, Iter 24080: Loss = 0.011115644127130508, lr = [0.0001] +[2024-05-20 18:01:23,547] - INFO: Epoch 242/9999, Iter 24100: Loss = 0.021752728149294853, lr = [0.0001] +[2024-05-20 18:01:38,057] - INFO: Epoch 242/9999, Iter 24120: Loss = 0.010903188958764076, lr = [0.0001] +[2024-05-20 18:01:52,637] - INFO: Epoch 242/9999, Iter 24140: Loss = 0.005790576804429293, lr = [0.0001] +[2024-05-20 18:02:07,222] - INFO: Epoch 242/9999, Iter 24160: Loss = 0.01993582583963871, lr = [0.0001] +[2024-05-20 18:02:21,844] - INFO: Epoch 242/9999, Iter 24180: Loss = 0.008915038779377937, lr = [0.0001] +[2024-05-20 18:02:37,909] - INFO: Epoch 243/9999, Iter 24200: Loss = 0.020423296838998795, lr = [0.0001] +[2024-05-20 18:02:52,588] - INFO: Epoch 243/9999, Iter 24220: Loss = 0.014189181849360466, lr = [0.0001] +[2024-05-20 18:03:07,516] - INFO: Epoch 243/9999, Iter 24240: Loss = 0.012457404285669327, lr = [0.0001] +[2024-05-20 18:03:22,145] - INFO: Epoch 243/9999, Iter 24260: Loss = 0.018450096249580383, lr = [0.0001] +[2024-05-20 18:03:36,784] - INFO: Epoch 243/9999, Iter 24280: Loss = 0.02162049151957035, lr = [0.0001] +[2024-05-20 18:03:52,608] - INFO: Epoch 244/9999, Iter 24300: Loss = 0.014267759397625923, lr = [0.0001] +[2024-05-20 18:04:07,297] - INFO: Epoch 244/9999, Iter 24320: Loss = 0.014353594742715359, lr = [0.0001] +[2024-05-20 18:04:22,060] - INFO: Epoch 244/9999, Iter 24340: Loss = 0.017437387257814407, lr = [0.0001] +[2024-05-20 18:04:36,776] - INFO: Epoch 244/9999, Iter 24360: Loss = 0.014643291011452675, lr = [0.0001] +[2024-05-20 18:04:51,595] - INFO: Epoch 244/9999, Iter 24380: Loss = 0.01220774371176958, lr = [0.0001] +[2024-05-20 18:05:07,485] - INFO: Epoch 245/9999, Iter 24400: Loss = 0.012561246752738953, lr = [0.0001] +[2024-05-20 18:05:22,347] - INFO: Epoch 245/9999, Iter 24420: Loss = 0.018610725179314613, lr = [0.0001] +[2024-05-20 18:05:37,076] - INFO: Epoch 245/9999, Iter 24440: Loss = 0.01567685976624489, lr = [0.0001] +[2024-05-20 18:05:51,880] - INFO: Epoch 245/9999, Iter 24460: Loss = 0.018959997221827507, lr = [0.0001] +[2024-05-20 18:06:06,570] - INFO: Epoch 245/9999, Iter 24480: Loss = 0.018331173807382584, lr = [0.0001] +[2024-05-20 18:06:21,011] - INFO: Evaluate at epoch 245! +[2024-05-20 18:06:26,125] - INFO: Eval PSNR (max): 37.656 (215) SSIM (max): 0.9597 (215) +[2024-05-20 18:06:26,125] - INFO: Eval PSNR (current): 37.642 (245) SSIM (current): 0.9594 (245) +[2024-05-20 18:06:26,125] - INFO: Evaluation over. +[2024-05-20 18:07:36,360] - INFO: Epoch 246/9999, Iter 24500: Loss = 0.015475745312869549, lr = [0.0001] +[2024-05-20 18:07:51,224] - INFO: Epoch 246/9999, Iter 24520: Loss = 0.012942614033818245, lr = [0.0001] +[2024-05-20 18:08:05,676] - INFO: Epoch 246/9999, Iter 24540: Loss = 0.008540074340999126, lr = [0.0001] +[2024-05-20 18:08:20,272] - INFO: Epoch 246/9999, Iter 24560: Loss = 0.020146964117884636, lr = [0.0001] +[2024-05-20 18:08:34,734] - INFO: Epoch 246/9999, Iter 24580: Loss = 0.011343929916620255, lr = [0.0001] +[2024-05-20 18:08:50,625] - INFO: Epoch 247/9999, Iter 24600: Loss = 0.007863073609769344, lr = [0.0001] +[2024-05-20 18:09:05,049] - INFO: Epoch 247/9999, Iter 24620: Loss = 0.017218735069036484, lr = [0.0001] +[2024-05-20 18:09:19,586] - INFO: Epoch 247/9999, Iter 24640: Loss = 0.021563256159424782, lr = [0.0001] +[2024-05-20 18:09:34,116] - INFO: Epoch 247/9999, Iter 24660: Loss = 0.014472014270722866, lr = [0.0001] +[2024-05-20 18:09:48,588] - INFO: Epoch 247/9999, Iter 24680: Loss = 0.014855075627565384, lr = [0.0001] +[2024-05-20 18:10:04,784] - INFO: Epoch 248/9999, Iter 24700: Loss = 0.019658470526337624, lr = [0.0001] +[2024-05-20 18:10:19,416] - INFO: Epoch 248/9999, Iter 24720: Loss = 0.012258859351277351, lr = [0.0001] +[2024-05-20 18:10:34,052] - INFO: Epoch 248/9999, Iter 24740: Loss = 0.016000906005501747, lr = [0.0001] +[2024-05-20 18:10:48,745] - INFO: Epoch 248/9999, Iter 24760: Loss = 0.010237466543912888, lr = [0.0001] +[2024-05-20 18:11:03,434] - INFO: Epoch 248/9999, Iter 24780: Loss = 0.01468695979565382, lr = [0.0001] +[2024-05-20 18:11:19,322] - INFO: Epoch 249/9999, Iter 24800: Loss = 0.02048778161406517, lr = [0.0001] +[2024-05-20 18:11:34,006] - INFO: Epoch 249/9999, Iter 24820: Loss = 0.015218541957437992, lr = [0.0001] +[2024-05-20 18:11:48,885] - INFO: Epoch 249/9999, Iter 24840: Loss = 0.02169426716864109, lr = [0.0001] +[2024-05-20 18:12:03,628] - INFO: Epoch 249/9999, Iter 24860: Loss = 0.015862761065363884, lr = [0.0001] +[2024-05-20 18:12:18,423] - INFO: Epoch 249/9999, Iter 24880: Loss = 0.010507799685001373, lr = [0.0001] +[2024-05-20 18:12:34,566] - INFO: Epoch 250/9999, Iter 24900: Loss = 0.009862362407147884, lr = [0.0001] +[2024-05-20 18:12:49,484] - INFO: Epoch 250/9999, Iter 24920: Loss = 0.02158203348517418, lr = [0.0001] +[2024-05-20 18:13:04,273] - INFO: Epoch 250/9999, Iter 24940: Loss = 0.010903101414442062, lr = [0.0001] +[2024-05-20 18:13:19,001] - INFO: Epoch 250/9999, Iter 24960: Loss = 0.017930448055267334, lr = [0.0001] +[2024-05-20 18:13:33,927] - INFO: Epoch 250/9999, Iter 24980: Loss = 0.024683071300387383, lr = [0.0001] +[2024-05-20 18:13:48,397] - INFO: Evaluate at epoch 250! +[2024-05-20 18:13:53,414] - INFO: Eval PSNR (max): 37.656 (215) SSIM (max): 0.9597 (215) +[2024-05-20 18:13:53,414] - INFO: Eval PSNR (current): 37.643 (250) SSIM (current): 0.9596 (250) +[2024-05-20 18:13:53,414] - INFO: Evaluation over. +[2024-05-20 18:15:00,864] - INFO: Epoch 251/9999, Iter 25000: Loss = 0.01771296001970768, lr = [0.0001] +[2024-05-20 18:15:15,278] - INFO: Epoch 251/9999, Iter 25020: Loss = 0.018462596461176872, lr = [0.0001] +[2024-05-20 18:15:29,752] - INFO: Epoch 251/9999, Iter 25040: Loss = 0.013141259551048279, lr = [0.0001] +[2024-05-20 18:15:44,122] - INFO: Epoch 251/9999, Iter 25060: Loss = 0.018827425315976143, lr = [0.0001] +[2024-05-20 18:15:58,784] - INFO: Epoch 251/9999, Iter 25080: Loss = 0.010135624557733536, lr = [0.0001] +[2024-05-20 18:16:14,496] - INFO: Epoch 252/9999, Iter 25100: Loss = 0.012084521353244781, lr = [0.0001] +[2024-05-20 18:16:55,568] - INFO: Epoch 252/9999, Iter 25120: Loss = 0.012333706952631474, lr = [0.0001] +[2024-05-20 18:17:10,011] - INFO: Epoch 252/9999, Iter 25140: Loss = 0.01860424317419529, lr = [0.0001] +[2024-05-20 18:17:24,489] - INFO: Epoch 252/9999, Iter 25160: Loss = 0.012638277374207973, lr = [0.0001] +[2024-05-20 18:17:39,008] - INFO: Epoch 252/9999, Iter 25180: Loss = 0.012977153062820435, lr = [0.0001] +[2024-05-20 18:17:54,702] - INFO: Epoch 253/9999, Iter 25200: Loss = 0.012907405383884907, lr = [0.0001] +[2024-05-20 18:18:09,320] - INFO: Epoch 253/9999, Iter 25220: Loss = 0.017993170768022537, lr = [0.0001] +[2024-05-20 18:18:24,024] - INFO: Epoch 253/9999, Iter 25240: Loss = 0.021794943138957024, lr = [0.0001] +[2024-05-20 18:18:38,620] - INFO: Epoch 253/9999, Iter 25260: Loss = 0.017172273248434067, lr = [0.0001] +[2024-05-20 18:18:53,259] - INFO: Epoch 253/9999, Iter 25280: Loss = 0.02162543125450611, lr = [0.0001] +[2024-05-20 18:19:09,172] - INFO: Epoch 254/9999, Iter 25300: Loss = 0.0129852881655097, lr = [0.0001] +[2024-05-20 18:21:13,600] - INFO: Epoch 254/9999, Iter 25320: Loss = 0.018875235691666603, lr = [0.0001] +[2024-05-20 18:21:28,041] - INFO: Epoch 254/9999, Iter 25340: Loss = 0.01610342040657997, lr = [0.0001] +[2024-05-20 18:21:42,412] - INFO: Epoch 254/9999, Iter 25360: Loss = 0.009411705657839775, lr = [0.0001] +[2024-05-20 18:21:56,789] - INFO: Epoch 254/9999, Iter 25380: Loss = 0.010330482386052608, lr = [0.0001] +[2024-05-20 18:22:12,585] - INFO: Epoch 255/9999, Iter 25400: Loss = 0.016736244782805443, lr = [0.0001] +[2024-05-20 18:22:27,050] - INFO: Epoch 255/9999, Iter 25420: Loss = 0.012762665748596191, lr = [0.0001] +[2024-05-20 18:22:41,439] - INFO: Epoch 255/9999, Iter 25440: Loss = 0.01149594783782959, lr = [0.0001] +[2024-05-20 18:22:55,924] - INFO: Epoch 255/9999, Iter 25460: Loss = 0.01402448769658804, lr = [0.0001] +[2024-05-20 18:24:10,506] - INFO: Epoch 255/9999, Iter 25480: Loss = 0.014494196511805058, lr = [0.0001] +[2024-05-20 18:24:24,505] - INFO: Evaluate at epoch 255! +[2024-05-20 18:24:29,622] - INFO: Eval PSNR (max): 37.656 (215) SSIM (max): 0.9597 (215) +[2024-05-20 18:24:29,622] - INFO: Eval PSNR (current): 37.476 (255) SSIM (current): 0.9588 (255) +[2024-05-20 18:24:29,622] - INFO: Evaluation over. +[2024-05-20 18:25:37,981] - INFO: Epoch 256/9999, Iter 25500: Loss = 0.012201715260744095, lr = [0.0001] +[2024-05-20 18:25:52,228] - INFO: Epoch 256/9999, Iter 25520: Loss = 0.017800675705075264, lr = [0.0001] +[2024-05-20 18:26:06,706] - INFO: Epoch 256/9999, Iter 25540: Loss = 0.011712009087204933, lr = [0.0001] +[2024-05-20 18:26:21,071] - INFO: Epoch 256/9999, Iter 25560: Loss = 0.01605597510933876, lr = [0.0001] +[2024-05-20 18:26:35,407] - INFO: Epoch 256/9999, Iter 25580: Loss = 0.013888491317629814, lr = [0.0001] +[2024-05-20 18:26:51,572] - INFO: Epoch 257/9999, Iter 25600: Loss = 0.015474867075681686, lr = [0.0001] +[2024-05-20 18:27:06,064] - INFO: Epoch 257/9999, Iter 25620: Loss = 0.01463202852755785, lr = [0.0001] +[2024-05-20 18:27:20,484] - INFO: Epoch 257/9999, Iter 25640: Loss = 0.013564196415245533, lr = [0.0001] +[2024-05-20 18:27:34,886] - INFO: Epoch 257/9999, Iter 25660: Loss = 0.02565469779074192, lr = [0.0001] +[2024-05-20 18:29:38,156] - INFO: Epoch 257/9999, Iter 25680: Loss = 0.020087262615561485, lr = [0.0001] +[2024-05-20 18:29:53,749] - INFO: Epoch 258/9999, Iter 25700: Loss = 0.016883285716176033, lr = [0.0001] +[2024-05-20 18:30:08,112] - INFO: Epoch 258/9999, Iter 25720: Loss = 0.012242221273481846, lr = [0.0001] +[2024-05-20 18:30:22,441] - INFO: Epoch 258/9999, Iter 25740: Loss = 0.012933144345879555, lr = [0.0001] +[2024-05-20 18:30:36,946] - INFO: Epoch 258/9999, Iter 25760: Loss = 0.007640388794243336, lr = [0.0001] +[2024-05-20 18:30:51,302] - INFO: Epoch 258/9999, Iter 25780: Loss = 0.01349389273673296, lr = [0.0001] +[2024-05-20 18:31:07,088] - INFO: Epoch 259/9999, Iter 25800: Loss = 0.023936619982123375, lr = [0.0001] +[2024-05-20 18:31:21,527] - INFO: Epoch 259/9999, Iter 25820: Loss = 0.007310232613235712, lr = [0.0001] +[2024-05-20 18:31:36,024] - INFO: Epoch 259/9999, Iter 25840: Loss = 0.011089819483458996, lr = [0.0001] +[2024-05-20 18:31:50,634] - INFO: Epoch 259/9999, Iter 25860: Loss = 0.015302984975278378, lr = [0.0001] +[2024-05-20 18:32:05,169] - INFO: Epoch 259/9999, Iter 25880: Loss = 0.008413033559918404, lr = [0.0001] +[2024-05-20 18:32:21,136] - INFO: Epoch 260/9999, Iter 25900: Loss = 0.014764226973056793, lr = [0.0001] +[2024-05-20 18:32:35,898] - INFO: Epoch 260/9999, Iter 25920: Loss = 0.01100894995033741, lr = [0.0001] +[2024-05-20 18:32:50,608] - INFO: Epoch 260/9999, Iter 25940: Loss = 0.017566537484526634, lr = [0.0001] +[2024-05-20 18:33:05,262] - INFO: Epoch 260/9999, Iter 25960: Loss = 0.017505155876278877, lr = [0.0001] +[2024-05-20 18:33:19,966] - INFO: Epoch 260/9999, Iter 25980: Loss = 0.022455457597970963, lr = [0.0001] +[2024-05-20 18:33:34,321] - INFO: Evaluate at epoch 260! +[2024-05-20 18:33:39,549] - INFO: Eval PSNR (max): 37.656 (215) SSIM (max): 0.9597 (215) +[2024-05-20 18:33:39,550] - INFO: Eval PSNR (current): 37.228 (260) SSIM (current): 0.9585 (260) +[2024-05-20 18:33:39,550] - INFO: Evaluation over. +[2024-05-20 18:34:49,808] - INFO: Epoch 261/9999, Iter 26000: Loss = 0.008858029730618, lr = [0.0001] +[2024-05-20 18:35:04,349] - INFO: Epoch 261/9999, Iter 26020: Loss = 0.011156605556607246, lr = [0.0001] +[2024-05-20 18:35:18,740] - INFO: Epoch 261/9999, Iter 26040: Loss = 0.016142437234520912, lr = [0.0001] +[2024-05-20 18:35:33,166] - INFO: Epoch 261/9999, Iter 26060: Loss = 0.017928745597600937, lr = [0.0001] +[2024-05-20 18:35:47,608] - INFO: Epoch 261/9999, Iter 26080: Loss = 0.030779268592596054, lr = [0.0001] +[2024-05-20 18:36:03,251] - INFO: Epoch 262/9999, Iter 26100: Loss = 0.014160255901515484, lr = [0.0001] +[2024-05-20 18:36:17,860] - INFO: Epoch 262/9999, Iter 26120: Loss = 0.009508629329502583, lr = [0.0001] +[2024-05-20 18:36:32,340] - INFO: Epoch 262/9999, Iter 26140: Loss = 0.011221553198993206, lr = [0.0001] +[2024-05-20 18:40:28,063] - INFO: Epoch 262/9999, Iter 26160: Loss = 0.010061436332762241, lr = [0.0001] +[2024-05-20 18:40:42,285] - INFO: Epoch 262/9999, Iter 26180: Loss = 0.011584467254579067, lr = [0.0001] +[2024-05-20 18:40:58,014] - INFO: Epoch 263/9999, Iter 26200: Loss = 0.022497111931443214, lr = [0.0001] +[2024-05-20 18:41:12,328] - INFO: Epoch 263/9999, Iter 26220: Loss = 0.016474390402436256, lr = [0.0001] +[2024-05-20 18:41:27,181] - INFO: Epoch 263/9999, Iter 26240: Loss = 0.017710501328110695, lr = [0.0001] +[2024-05-20 18:41:41,568] - INFO: Epoch 263/9999, Iter 26260: Loss = 0.007729616481810808, lr = [0.0001] +[2024-05-20 18:41:55,994] - INFO: Epoch 263/9999, Iter 26280: Loss = 0.2475423812866211, lr = [0.0001] +[2024-05-20 18:42:17,104] - INFO: Epoch 264/9999, Iter 26300: Loss = 0.9134138822555542, lr = [0.0001] +[2024-05-20 18:42:31,738] - INFO: Epoch 264/9999, Iter 26320: Loss = 0.13187275826931, lr = [0.0001] +[2024-05-20 18:42:46,161] - INFO: Epoch 264/9999, Iter 26340: Loss = 0.04781344160437584, lr = [0.0001] +[2024-05-20 18:43:00,878] - INFO: Epoch 264/9999, Iter 26360: Loss = 0.022606955841183662, lr = [0.0001] +[2024-05-20 18:43:15,392] - INFO: Epoch 264/9999, Iter 26380: Loss = 0.016044972464442253, lr = [0.0001] +[2024-05-20 18:43:31,332] - INFO: Epoch 265/9999, Iter 26400: Loss = 0.011727215722203255, lr = [0.0001] +[2024-05-20 18:43:45,968] - INFO: Epoch 265/9999, Iter 26420: Loss = 0.014391441829502583, lr = [0.0001] +[2024-05-20 18:44:00,723] - INFO: Epoch 265/9999, Iter 26440: Loss = 0.012710673734545708, lr = [0.0001] +[2024-05-20 18:44:15,344] - INFO: Epoch 265/9999, Iter 26460: Loss = 0.011816349811851978, lr = [0.0001] +[2024-05-20 18:44:29,936] - INFO: Epoch 265/9999, Iter 26480: Loss = 0.011362975463271141, lr = [0.0001] +[2024-05-20 18:44:44,154] - INFO: Evaluate at epoch 265! +[2024-05-20 18:44:49,037] - INFO: Eval PSNR (max): 37.656 (215) SSIM (max): 0.9597 (215) +[2024-05-20 18:44:49,037] - INFO: Eval PSNR (current): 36.966 (265) SSIM (current): 0.9565 (265) +[2024-05-20 18:44:49,037] - INFO: Evaluation over. +[2024-05-20 18:45:53,749] - INFO: Epoch 266/9999, Iter 26500: Loss = 0.011794600635766983, lr = [0.0001] +[2024-05-20 18:46:08,192] - INFO: Epoch 266/9999, Iter 26520: Loss = 0.02713540382683277, lr = [0.0001] +[2024-05-20 18:46:22,516] - INFO: Epoch 266/9999, Iter 26540: Loss = 0.012100864201784134, lr = [0.0001] +[2024-05-20 18:46:37,129] - INFO: Epoch 266/9999, Iter 26560: Loss = 0.03209236264228821, lr = [0.0001] +[2024-05-20 18:46:51,526] - INFO: Epoch 266/9999, Iter 26580: Loss = 0.008212776854634285, lr = [0.0001] +[2024-05-20 18:47:07,531] - INFO: Epoch 267/9999, Iter 26600: Loss = 0.01311583537608385, lr = [0.0001] +[2024-05-20 18:47:22,039] - INFO: Epoch 267/9999, Iter 26620: Loss = 0.016927558928728104, lr = [0.0001] +[2024-05-20 18:47:36,526] - INFO: Epoch 267/9999, Iter 26640: Loss = 0.02461244724690914, lr = [0.0001] +[2024-05-20 18:47:50,996] - INFO: Epoch 267/9999, Iter 26660: Loss = 0.01350490003824234, lr = [0.0001] +[2024-05-20 18:48:05,530] - INFO: Epoch 267/9999, Iter 26680: Loss = 0.02734319120645523, lr = [0.0001] +[2024-05-20 18:48:21,424] - INFO: Epoch 268/9999, Iter 26700: Loss = 0.01239989884197712, lr = [0.0001] +[2024-05-20 18:48:36,088] - INFO: Epoch 268/9999, Iter 26720: Loss = 0.007728560362011194, lr = [0.0001] +[2024-05-20 18:48:50,700] - INFO: Epoch 268/9999, Iter 26740: Loss = 0.012808113358914852, lr = [0.0001] +[2024-05-20 18:49:05,360] - INFO: Epoch 268/9999, Iter 26760: Loss = 0.01591108739376068, lr = [0.0001] +[2024-05-20 18:49:20,080] - INFO: Epoch 268/9999, Iter 26780: Loss = 0.006493461783975363, lr = [0.0001] +[2024-05-20 18:49:36,289] - INFO: Epoch 269/9999, Iter 26800: Loss = 0.01179051585495472, lr = [0.0001] +[2024-05-20 18:49:51,025] - INFO: Epoch 269/9999, Iter 26820: Loss = 0.010068110190331936, lr = [0.0001] +[2024-05-20 18:50:05,777] - INFO: Epoch 269/9999, Iter 26840: Loss = 0.01226118765771389, lr = [0.0001] +[2024-05-20 18:50:20,460] - INFO: Epoch 269/9999, Iter 26860: Loss = 0.014299563132226467, lr = [0.0001] +[2024-05-20 18:50:35,158] - INFO: Epoch 269/9999, Iter 26880: Loss = 0.020599842071533203, lr = [0.0001] +[2024-05-20 18:50:51,248] - INFO: Epoch 270/9999, Iter 26900: Loss = 0.017114916816353798, lr = [0.0001] +[2024-05-20 18:51:06,017] - INFO: Epoch 270/9999, Iter 26920: Loss = 0.019559267908334732, lr = [0.0001] +[2024-05-20 18:51:20,783] - INFO: Epoch 270/9999, Iter 26940: Loss = 0.01856652833521366, lr = [0.0001] +[2024-05-20 18:51:35,611] - INFO: Epoch 270/9999, Iter 26960: Loss = 0.01757732965052128, lr = [0.0001] +[2024-05-20 18:51:50,546] - INFO: Epoch 270/9999, Iter 26980: Loss = 0.022786621004343033, lr = [0.0001] +[2024-05-20 18:52:04,993] - INFO: Evaluate at epoch 270! +[2024-05-20 18:52:09,906] - INFO: Eval PSNR (max): 37.656 (215) SSIM (max): 0.9597 (215) +[2024-05-20 18:52:09,906] - INFO: Eval PSNR (current): 37.381 (270) SSIM (current): 0.9583 (270) +[2024-05-20 18:52:09,906] - INFO: Evaluation over. +[2024-05-20 18:52:54,459] - INFO: Epoch 271/9999, Iter 27000: Loss = 0.016923455521464348, lr = [0.0001] +[2024-05-20 18:53:08,961] - INFO: Epoch 271/9999, Iter 27020: Loss = 0.014986091293394566, lr = [0.0001] +[2024-05-20 18:53:23,460] - INFO: Epoch 271/9999, Iter 27040: Loss = 0.008940856903791428, lr = [0.0001] +[2024-05-20 18:53:37,939] - INFO: Epoch 271/9999, Iter 27060: Loss = 0.016802476719021797, lr = [0.0001] +[2024-05-20 18:53:52,563] - INFO: Epoch 271/9999, Iter 27080: Loss = 0.009722203947603703, lr = [0.0001] +[2024-05-20 18:54:08,304] - INFO: Epoch 272/9999, Iter 27100: Loss = 0.008880337700247765, lr = [0.0001] +[2024-05-20 18:54:22,889] - INFO: Epoch 272/9999, Iter 27120: Loss = 0.02066056989133358, lr = [0.0001] +[2024-05-20 18:54:37,431] - INFO: Epoch 272/9999, Iter 27140: Loss = 0.016166504472494125, lr = [0.0001] +[2024-05-20 18:54:52,082] - INFO: Epoch 272/9999, Iter 27160: Loss = 0.00876104086637497, lr = [0.0001] +[2024-05-20 18:55:06,677] - INFO: Epoch 272/9999, Iter 27180: Loss = 0.006806680466979742, lr = [0.0001] +[2024-05-20 18:55:22,618] - INFO: Epoch 273/9999, Iter 27200: Loss = 0.013972105458378792, lr = [0.0001] +[2024-05-20 18:55:37,350] - INFO: Epoch 273/9999, Iter 27220: Loss = 0.018519556149840355, lr = [0.0001] +[2024-05-20 18:55:52,140] - INFO: Epoch 273/9999, Iter 27240: Loss = 0.016789110377430916, lr = [0.0001] +[2024-05-20 18:56:06,853] - INFO: Epoch 273/9999, Iter 27260: Loss = 0.013628842309117317, lr = [0.0001] +[2024-05-20 18:56:21,611] - INFO: Epoch 273/9999, Iter 27280: Loss = 0.01300564780831337, lr = [0.0001] +[2024-05-20 18:56:37,700] - INFO: Epoch 274/9999, Iter 27300: Loss = 0.01269465871155262, lr = [0.0001] +[2024-05-20 18:56:52,445] - INFO: Epoch 274/9999, Iter 27320: Loss = 0.009620231576263905, lr = [0.0001] +[2024-05-20 18:57:07,226] - INFO: Epoch 274/9999, Iter 27340: Loss = 0.011363298632204533, lr = [0.0001] +[2024-05-20 18:57:21,977] - INFO: Epoch 274/9999, Iter 27360: Loss = 0.010759162716567516, lr = [0.0001] +[2024-05-20 18:57:36,737] - INFO: Epoch 274/9999, Iter 27380: Loss = 0.015878580510616302, lr = [0.0001] +[2024-05-20 18:57:52,735] - INFO: Epoch 275/9999, Iter 27400: Loss = 0.012782488018274307, lr = [0.0001] +[2024-05-20 18:58:07,584] - INFO: Epoch 275/9999, Iter 27420: Loss = 0.017223620787262917, lr = [0.0001] +[2024-05-20 18:58:22,439] - INFO: Epoch 275/9999, Iter 27440: Loss = 0.012698006816208363, lr = [0.0001] +[2024-05-20 18:58:37,163] - INFO: Epoch 275/9999, Iter 27460: Loss = 0.007411492057144642, lr = [0.0001] +[2024-05-20 18:58:51,934] - INFO: Epoch 275/9999, Iter 27480: Loss = 0.020533517003059387, lr = [0.0001] +[2024-05-20 18:59:06,391] - INFO: Evaluate at epoch 275! +[2024-05-20 18:59:11,541] - INFO: Eval PSNR (max): 37.656 (215) SSIM (max): 0.9597 (215) +[2024-05-20 18:59:11,541] - INFO: Eval PSNR (current): 37.616 (275) SSIM (current): 0.9592 (275) +[2024-05-20 18:59:11,541] - INFO: Evaluation over. +[2024-05-20 19:00:06,261] - INFO: Epoch 276/9999, Iter 27500: Loss = 0.01252763718366623, lr = [0.0001] +[2024-05-20 19:00:20,776] - INFO: Epoch 276/9999, Iter 27520: Loss = 0.015253731980919838, lr = [0.0001] +[2024-05-20 19:00:35,304] - INFO: Epoch 276/9999, Iter 27540: Loss = 0.01537882536649704, lr = [0.0001] +[2024-05-20 19:00:49,831] - INFO: Epoch 276/9999, Iter 27560: Loss = 0.015566189773380756, lr = [0.0001] +[2024-05-20 19:01:04,363] - INFO: Epoch 276/9999, Iter 27580: Loss = 0.016648946329951286, lr = [0.0001] +[2024-05-20 19:01:20,316] - INFO: Epoch 277/9999, Iter 27600: Loss = 0.011128869839012623, lr = [0.0001] +[2024-05-20 19:01:35,029] - INFO: Epoch 277/9999, Iter 27620: Loss = 0.015581159852445126, lr = [0.0001] +[2024-05-20 19:01:49,521] - INFO: Epoch 277/9999, Iter 27640: Loss = 0.006112338043749332, lr = [0.0001] +[2024-05-20 19:02:04,064] - INFO: Epoch 277/9999, Iter 27660: Loss = 0.0077600060030817986, lr = [0.0001] +[2024-05-20 19:02:18,628] - INFO: Epoch 277/9999, Iter 27680: Loss = 0.01789717935025692, lr = [0.0001] +[2024-05-20 19:02:34,716] - INFO: Epoch 278/9999, Iter 27700: Loss = 0.013372122310101986, lr = [0.0001] +[2024-05-20 19:02:49,657] - INFO: Epoch 278/9999, Iter 27720: Loss = 0.013336141593754292, lr = [0.0001] +[2024-05-20 19:03:04,296] - INFO: Epoch 278/9999, Iter 27740: Loss = 0.014453554525971413, lr = [0.0001] +[2024-05-20 19:03:20,516] - INFO: Epoch 278/9999, Iter 27760: Loss = 0.017284931614995003, lr = [0.0001] +[2024-05-20 19:03:38,765] - INFO: Epoch 278/9999, Iter 27780: Loss = 0.01569288596510887, lr = [0.0001] +[2024-05-20 19:03:54,728] - INFO: Epoch 279/9999, Iter 27800: Loss = 0.02433907985687256, lr = [0.0001] +[2024-05-20 19:04:09,432] - INFO: Epoch 279/9999, Iter 27820: Loss = 0.01531966682523489, lr = [0.0001] +[2024-05-20 19:04:24,083] - INFO: Epoch 279/9999, Iter 27840: Loss = 0.016561558470129967, lr = [0.0001] +[2024-05-20 19:04:38,764] - INFO: Epoch 279/9999, Iter 27860: Loss = 0.011316947638988495, lr = [0.0001] +[2024-05-20 19:04:53,497] - INFO: Epoch 279/9999, Iter 27880: Loss = 0.009131754748523235, lr = [0.0001] +[2024-05-20 19:05:09,629] - INFO: Epoch 280/9999, Iter 27900: Loss = 0.020911332219839096, lr = [0.0001] +[2024-05-20 19:05:24,351] - INFO: Epoch 280/9999, Iter 27920: Loss = 0.021176157519221306, lr = [0.0001] +[2024-05-20 19:05:39,065] - INFO: Epoch 280/9999, Iter 27940: Loss = 0.010787773877382278, lr = [0.0001] +[2024-05-20 19:05:53,824] - INFO: Epoch 280/9999, Iter 27960: Loss = 0.020381353795528412, lr = [0.0001] +[2024-05-20 19:06:08,658] - INFO: Epoch 280/9999, Iter 27980: Loss = 0.02379598096013069, lr = [0.0001] +[2024-05-20 19:06:23,104] - INFO: Evaluate at epoch 280! +[2024-05-20 19:06:27,882] - INFO: Eval PSNR (max): 37.656 (215) SSIM (max): 0.9597 (215) +[2024-05-20 19:06:27,883] - INFO: Eval PSNR (current): 37.621 (280) SSIM (current): 0.9592 (280) +[2024-05-20 19:06:27,883] - INFO: Evaluation over. +[2024-05-20 19:10:40,324] - INFO: Epoch 281/9999, Iter 28000: Loss = 0.012229622341692448, lr = [0.0001] +[2024-05-20 19:10:54,785] - INFO: Epoch 281/9999, Iter 28020: Loss = 0.015322495251893997, lr = [0.0001] +[2024-05-20 19:11:09,080] - INFO: Epoch 281/9999, Iter 28040: Loss = 0.009767071343958378, lr = [0.0001] +[2024-05-20 19:11:23,427] - INFO: Epoch 281/9999, Iter 28060: Loss = 0.019471347332000732, lr = [0.0001] +[2024-05-20 19:11:37,634] - INFO: Epoch 281/9999, Iter 28080: Loss = 0.02812488190829754, lr = [0.0001] +[2024-05-20 19:12:47,098] - INFO: Epoch 282/9999, Iter 28100: Loss = 0.02290433831512928, lr = [0.0001] +[2024-05-20 19:13:01,476] - INFO: Epoch 282/9999, Iter 28120: Loss = 0.008883013390004635, lr = [0.0001] +[2024-05-20 19:13:15,792] - INFO: Epoch 282/9999, Iter 28140: Loss = 0.016568895429372787, lr = [0.0001] +[2024-05-20 19:13:30,084] - INFO: Epoch 282/9999, Iter 28160: Loss = 0.010692608542740345, lr = [0.0001] +[2024-05-20 19:13:44,456] - INFO: Epoch 282/9999, Iter 28180: Loss = 0.0076931859366595745, lr = [0.0001] +[2024-05-20 19:14:00,305] - INFO: Epoch 283/9999, Iter 28200: Loss = 0.011360849253833294, lr = [0.0001] +[2024-05-20 19:14:14,680] - INFO: Epoch 283/9999, Iter 28220: Loss = 0.008912998251616955, lr = [0.0001] +[2024-05-20 19:14:29,104] - INFO: Epoch 283/9999, Iter 28240: Loss = 0.010555283166468143, lr = [0.0001] +[2024-05-20 19:14:43,619] - INFO: Epoch 283/9999, Iter 28260: Loss = 0.008449126034975052, lr = [0.0001] +[2024-05-20 19:14:58,160] - INFO: Epoch 283/9999, Iter 28280: Loss = 0.01850750297307968, lr = [0.0001] +[2024-05-20 19:15:39,118] - INFO: Epoch 284/9999, Iter 28300: Loss = 0.016236258670687675, lr = [0.0001] +[2024-05-20 19:16:01,066] - INFO: Epoch 284/9999, Iter 28320: Loss = 0.016768161207437515, lr = [0.0001] +[2024-05-20 19:16:15,454] - INFO: Epoch 284/9999, Iter 28340: Loss = 0.01121706422418356, lr = [0.0001] +[2024-05-20 19:16:29,898] - INFO: Epoch 284/9999, Iter 28360: Loss = 0.009332801215350628, lr = [0.0001] +[2024-05-20 19:16:44,342] - INFO: Epoch 284/9999, Iter 28380: Loss = 0.008168856613337994, lr = [0.0001] +[2024-05-20 19:17:00,161] - INFO: Epoch 285/9999, Iter 28400: Loss = 0.014595475979149342, lr = [0.0001] +[2024-05-20 19:17:14,896] - INFO: Epoch 285/9999, Iter 28420: Loss = 0.011236581951379776, lr = [0.0001] +[2024-05-20 19:17:54,718] - INFO: Epoch 285/9999, Iter 28440: Loss = 0.008351395837962627, lr = [0.0001] +[2024-05-20 19:18:09,290] - INFO: Epoch 285/9999, Iter 28460: Loss = 0.01189718022942543, lr = [0.0001] +[2024-05-20 19:18:23,744] - INFO: Epoch 285/9999, Iter 28480: Loss = 0.01814570091664791, lr = [0.0001] +[2024-05-20 19:18:37,839] - INFO: Evaluate at epoch 285! +[2024-05-20 19:20:31,724] - INFO: Eval PSNR (max): 37.714 (285) SSIM (max): 0.9597 (215) +[2024-05-20 19:20:31,728] - INFO: Eval PSNR (current): 37.714 (285) SSIM (current): 0.9596 (285) +[2024-05-20 19:20:31,728] - INFO: Evaluation over. +[2024-05-20 19:23:39,356] - INFO: Epoch 286/9999, Iter 28500: Loss = 0.02414957620203495, lr = [0.0001] +[2024-05-20 19:23:53,800] - INFO: Epoch 286/9999, Iter 28520: Loss = 0.021539542824029922, lr = [0.0001] +[2024-05-20 19:24:08,037] - INFO: Epoch 286/9999, Iter 28540: Loss = 0.014770161360502243, lr = [0.0001] +[2024-05-20 19:24:28,548] - INFO: Epoch 286/9999, Iter 28560: Loss = 0.012119922786951065, lr = [0.0001] +[2024-05-20 19:24:42,893] - INFO: Epoch 286/9999, Iter 28580: Loss = 0.01935514621436596, lr = [0.0001] +[2024-05-20 19:24:58,688] - INFO: Epoch 287/9999, Iter 28600: Loss = 0.01721261441707611, lr = [0.0001] +[2024-05-20 19:25:13,081] - INFO: Epoch 287/9999, Iter 28620: Loss = 0.016048049554228783, lr = [0.0001] +[2024-05-20 19:25:27,610] - INFO: Epoch 287/9999, Iter 28640: Loss = 0.01573329046368599, lr = [0.0001] +[2024-05-20 19:25:42,135] - INFO: Epoch 287/9999, Iter 28660: Loss = 0.0101539958268404, lr = [0.0001] +[2024-05-20 19:25:56,582] - INFO: Epoch 287/9999, Iter 28680: Loss = 0.015454363077878952, lr = [0.0001] +[2024-05-20 19:26:12,420] - INFO: Epoch 288/9999, Iter 28700: Loss = 0.015306694433093071, lr = [0.0001] +[2024-05-20 19:26:27,017] - INFO: Epoch 288/9999, Iter 28720: Loss = 0.013911121524870396, lr = [0.0001] +[2024-05-20 19:26:41,620] - INFO: Epoch 288/9999, Iter 28740: Loss = 0.010173133574426174, lr = [0.0001] +[2024-05-20 19:26:56,232] - INFO: Epoch 288/9999, Iter 28760: Loss = 0.020761772990226746, lr = [0.0001] +[2024-05-20 19:27:10,804] - INFO: Epoch 288/9999, Iter 28780: Loss = 0.019571837037801743, lr = [0.0001] +[2024-05-20 19:27:26,923] - INFO: Epoch 289/9999, Iter 28800: Loss = 0.017198577523231506, lr = [0.0001] +[2024-05-20 19:27:41,587] - INFO: Epoch 289/9999, Iter 28820: Loss = 0.012854604050517082, lr = [0.0001] +[2024-05-20 19:27:56,312] - INFO: Epoch 289/9999, Iter 28840: Loss = 0.007909324951469898, lr = [0.0001] +[2024-05-20 19:28:11,104] - INFO: Epoch 289/9999, Iter 28860: Loss = 0.020717980340123177, lr = [0.0001] +[2024-05-20 19:28:25,777] - INFO: Epoch 289/9999, Iter 28880: Loss = 0.021712377667427063, lr = [0.0001] +[2024-05-20 19:28:41,979] - INFO: Epoch 290/9999, Iter 28900: Loss = 0.008860177360475063, lr = [0.0001] +[2024-05-20 19:28:56,787] - INFO: Epoch 290/9999, Iter 28920: Loss = 0.014372424222528934, lr = [0.0001] +[2024-05-20 19:29:11,550] - INFO: Epoch 290/9999, Iter 28940: Loss = 0.015710394829511642, lr = [0.0001] +[2024-05-20 19:29:26,355] - INFO: Epoch 290/9999, Iter 28960: Loss = 0.014094067737460136, lr = [0.0001] +[2024-05-20 19:29:41,166] - INFO: Epoch 290/9999, Iter 28980: Loss = 0.017683478072285652, lr = [0.0001] +[2024-05-20 19:29:55,616] - INFO: Evaluate at epoch 290! +[2024-05-20 19:32:17,810] - INFO: Eval PSNR (max): 37.742 (290) SSIM (max): 0.9598 (290) +[2024-05-20 19:32:17,812] - INFO: Eval PSNR (current): 37.742 (290) SSIM (current): 0.9598 (290) +[2024-05-20 19:32:17,812] - INFO: Evaluation over. +[2024-05-20 19:33:25,656] - INFO: Epoch 291/9999, Iter 29000: Loss = 0.012858920730650425, lr = [0.0001] +[2024-05-20 19:33:40,064] - INFO: Epoch 291/9999, Iter 29020: Loss = 0.013313235715031624, lr = [0.0001] +[2024-05-20 19:33:54,352] - INFO: Epoch 291/9999, Iter 29040: Loss = 0.01786090061068535, lr = [0.0001] +[2024-05-20 19:34:08,666] - INFO: Epoch 291/9999, Iter 29060: Loss = 0.013189715333282948, lr = [0.0001] +[2024-05-20 19:34:23,037] - INFO: Epoch 291/9999, Iter 29080: Loss = 0.015253630466759205, lr = [0.0001] +[2024-05-20 19:34:38,826] - INFO: Epoch 292/9999, Iter 29100: Loss = 0.013750569894909859, lr = [0.0001] +[2024-05-20 19:34:53,414] - INFO: Epoch 292/9999, Iter 29120: Loss = 0.017079303041100502, lr = [0.0001] +[2024-05-20 19:35:07,825] - INFO: Epoch 292/9999, Iter 29140: Loss = 0.010707811452448368, lr = [0.0001] +[2024-05-20 19:35:22,238] - INFO: Epoch 292/9999, Iter 29160: Loss = 0.011769275180995464, lr = [0.0001] +[2024-05-20 19:35:36,720] - INFO: Epoch 292/9999, Iter 29180: Loss = 0.015133301727473736, lr = [0.0001] +[2024-05-20 19:35:52,616] - INFO: Epoch 293/9999, Iter 29200: Loss = 0.015988733619451523, lr = [0.0001] +[2024-05-20 19:36:07,148] - INFO: Epoch 293/9999, Iter 29220: Loss = 0.020098049193620682, lr = [0.0001] +[2024-05-20 19:36:21,640] - INFO: Epoch 293/9999, Iter 29240: Loss = 0.012108737602829933, lr = [0.0001] +[2024-05-20 19:36:36,206] - INFO: Epoch 293/9999, Iter 29260: Loss = 0.015028124675154686, lr = [0.0001] +[2024-05-20 19:36:50,904] - INFO: Epoch 293/9999, Iter 29280: Loss = 0.005966678727418184, lr = [0.0001] +[2024-05-20 19:37:06,748] - INFO: Epoch 294/9999, Iter 29300: Loss = 0.008015860803425312, lr = [0.0001] +[2024-05-20 19:37:21,492] - INFO: Epoch 294/9999, Iter 29320: Loss = 0.026924001052975655, lr = [0.0001] +[2024-05-20 19:37:36,144] - INFO: Epoch 294/9999, Iter 29340: Loss = 0.008194909431040287, lr = [0.0001] +[2024-05-20 19:37:50,860] - INFO: Epoch 294/9999, Iter 29360: Loss = 0.01970353163778782, lr = [0.0001] +[2024-05-20 19:38:05,577] - INFO: Epoch 294/9999, Iter 29380: Loss = 0.020831990987062454, lr = [0.0001] +[2024-05-20 19:38:22,444] - INFO: Epoch 295/9999, Iter 29400: Loss = 0.014626860618591309, lr = [0.0001] +[2024-05-20 19:38:37,256] - INFO: Epoch 295/9999, Iter 29420: Loss = 0.018535031005740166, lr = [0.0001] +[2024-05-20 19:38:51,996] - INFO: Epoch 295/9999, Iter 29440: Loss = 0.014264203608036041, lr = [0.0001] +[2024-05-20 19:39:06,648] - INFO: Epoch 295/9999, Iter 29460: Loss = 0.014515300281345844, lr = [0.0001] +[2024-05-20 19:39:21,359] - INFO: Epoch 295/9999, Iter 29480: Loss = 0.009626991115510464, lr = [0.0001] +[2024-05-20 19:39:35,713] - INFO: Evaluate at epoch 295! +[2024-05-20 19:39:40,880] - INFO: Eval PSNR (max): 37.742 (290) SSIM (max): 0.9598 (290) +[2024-05-20 19:39:40,880] - INFO: Eval PSNR (current): 36.994 (295) SSIM (current): 0.9590 (295) +[2024-05-20 19:39:40,880] - INFO: Evaluation over. +[2024-05-20 19:40:49,509] - INFO: Epoch 296/9999, Iter 29500: Loss = 0.02100873365998268, lr = [0.0001] +[2024-05-20 19:41:03,840] - INFO: Epoch 296/9999, Iter 29520: Loss = 0.016317380592226982, lr = [0.0001] +[2024-05-20 19:41:18,249] - INFO: Epoch 296/9999, Iter 29540: Loss = 0.01790628582239151, lr = [0.0001] +[2024-05-20 19:41:32,587] - INFO: Epoch 296/9999, Iter 29560: Loss = 0.013604634441435337, lr = [0.0001] +[2024-05-20 19:41:47,009] - INFO: Epoch 296/9999, Iter 29580: Loss = 0.01223591435700655, lr = [0.0001] +[2024-05-20 19:42:03,129] - INFO: Epoch 297/9999, Iter 29600: Loss = 0.012157042510807514, lr = [0.0001] +[2024-05-20 19:42:17,592] - INFO: Epoch 297/9999, Iter 29620: Loss = 0.02775006927549839, lr = [0.0001] +[2024-05-20 19:42:32,134] - INFO: Epoch 297/9999, Iter 29640: Loss = 0.01888488605618477, lr = [0.0001] +[2024-05-20 19:42:46,676] - INFO: Epoch 297/9999, Iter 29660: Loss = 0.00971044972538948, lr = [0.0001] +[2024-05-20 19:43:01,273] - INFO: Epoch 297/9999, Iter 29680: Loss = 0.017720991745591164, lr = [0.0001] +[2024-05-20 19:43:16,933] - INFO: Epoch 298/9999, Iter 29700: Loss = 0.023559678345918655, lr = [0.0001] +[2024-05-20 19:43:31,542] - INFO: Epoch 298/9999, Iter 29720: Loss = 0.006645737681537867, lr = [0.0001] +[2024-05-20 19:43:46,240] - INFO: Epoch 298/9999, Iter 29740: Loss = 0.02224353887140751, lr = [0.0001] +[2024-05-20 19:44:00,924] - INFO: Epoch 298/9999, Iter 29760: Loss = 0.020016785711050034, lr = [0.0001] +[2024-05-20 19:44:15,614] - INFO: Epoch 298/9999, Iter 29780: Loss = 0.007509708404541016, lr = [0.0001] +[2024-05-20 19:44:31,606] - INFO: Epoch 299/9999, Iter 29800: Loss = 0.010725567117333412, lr = [0.0001] +[2024-05-20 19:44:46,379] - INFO: Epoch 299/9999, Iter 29820: Loss = 0.0160716213285923, lr = [0.0001] +[2024-05-20 19:45:01,079] - INFO: Epoch 299/9999, Iter 29840: Loss = 0.012780602090060711, lr = [0.0001] +[2024-05-20 19:45:15,876] - INFO: Epoch 299/9999, Iter 29860: Loss = 0.012698758393526077, lr = [0.0001] +[2024-05-20 19:45:30,731] - INFO: Epoch 299/9999, Iter 29880: Loss = 0.014508550055325031, lr = [0.0001] +[2024-05-20 19:45:46,930] - INFO: Epoch 300/9999, Iter 29900: Loss = 0.020770421251654625, lr = [0.0001] +[2024-05-20 19:46:01,852] - INFO: Epoch 300/9999, Iter 29920: Loss = 0.012138018384575844, lr = [0.0001] +[2024-05-20 19:46:16,614] - INFO: Epoch 300/9999, Iter 29940: Loss = 0.010441189631819725, lr = [0.0001] +[2024-05-20 19:46:31,275] - INFO: Epoch 300/9999, Iter 29960: Loss = 0.01631537824869156, lr = [0.0001] +[2024-05-20 19:46:45,958] - INFO: Epoch 300/9999, Iter 29980: Loss = 0.018405131995677948, lr = [0.0001] +[2024-05-20 19:47:00,261] - INFO: Evaluate at epoch 300! +[2024-05-20 19:47:05,724] - INFO: Eval PSNR (max): 37.742 (290) SSIM (max): 0.9598 (290) +[2024-05-20 19:47:05,724] - INFO: Eval PSNR (current): 37.532 (300) SSIM (current): 0.9595 (300) +[2024-05-20 19:47:05,725] - INFO: Evaluation over. +[2024-05-20 19:48:12,983] - INFO: Epoch 301/9999, Iter 30000: Loss = 0.01435354258865118, lr = [0.0001] +[2024-05-20 19:48:27,278] - INFO: Epoch 301/9999, Iter 30020: Loss = 0.01830146461725235, lr = [0.0001] +[2024-05-20 19:48:41,854] - INFO: Epoch 301/9999, Iter 30040: Loss = 0.016447456553578377, lr = [0.0001] +[2024-05-20 19:48:56,234] - INFO: Epoch 301/9999, Iter 30060: Loss = 0.012336836196482182, lr = [0.0001] +[2024-05-20 19:49:10,632] - INFO: Epoch 301/9999, Iter 30080: Loss = 0.01164097897708416, lr = [0.0001] +[2024-05-20 19:49:26,334] - INFO: Epoch 302/9999, Iter 30100: Loss = 0.010305882431566715, lr = [0.0001] +[2024-05-20 19:49:40,796] - INFO: Epoch 302/9999, Iter 30120: Loss = 0.02220209874212742, lr = [0.0001] +[2024-05-20 19:49:55,296] - INFO: Epoch 302/9999, Iter 30140: Loss = 0.012012350372970104, lr = [0.0001] +[2024-05-20 19:50:09,744] - INFO: Epoch 302/9999, Iter 30160: Loss = 0.010642028413712978, lr = [0.0001] +[2024-05-20 19:50:24,292] - INFO: Epoch 302/9999, Iter 30180: Loss = 0.016019778326153755, lr = [0.0001] +[2024-05-20 19:50:40,113] - INFO: Epoch 303/9999, Iter 30200: Loss = 0.013149870559573174, lr = [0.0001] +[2024-05-20 19:50:54,679] - INFO: Epoch 303/9999, Iter 30220: Loss = 0.02167881466448307, lr = [0.0001] +[2024-05-20 19:51:09,293] - INFO: Epoch 303/9999, Iter 30240: Loss = 0.02242990769445896, lr = [0.0001] +[2024-05-20 19:51:23,941] - INFO: Epoch 303/9999, Iter 30260: Loss = 0.010020391084253788, lr = [0.0001] +[2024-05-20 19:51:38,609] - INFO: Epoch 303/9999, Iter 30280: Loss = 0.014959687367081642, lr = [0.0001] +[2024-05-20 19:51:54,630] - INFO: Epoch 304/9999, Iter 30300: Loss = 0.022734126076102257, lr = [0.0001] +[2024-05-20 19:52:09,458] - INFO: Epoch 304/9999, Iter 30320: Loss = 0.012388459406793118, lr = [0.0001] +[2024-05-20 19:52:24,261] - INFO: Epoch 304/9999, Iter 30340: Loss = 0.014159822836518288, lr = [0.0001] +[2024-05-20 19:52:38,991] - INFO: Epoch 304/9999, Iter 30360: Loss = 0.021333564072847366, lr = [0.0001] +[2024-05-20 19:52:53,738] - INFO: Epoch 304/9999, Iter 30380: Loss = 0.018571073189377785, lr = [0.0001] +[2024-05-20 19:53:09,861] - INFO: Epoch 305/9999, Iter 30400: Loss = 0.012648163363337517, lr = [0.0001] +[2024-05-20 19:53:24,818] - INFO: Epoch 305/9999, Iter 30420: Loss = 0.012888455763459206, lr = [0.0001] +[2024-05-20 19:53:39,577] - INFO: Epoch 305/9999, Iter 30440: Loss = 0.020287981256842613, lr = [0.0001] +[2024-05-20 19:53:54,380] - INFO: Epoch 305/9999, Iter 30460: Loss = 0.010082729160785675, lr = [0.0001] +[2024-05-20 19:54:09,192] - INFO: Epoch 305/9999, Iter 30480: Loss = 0.01055007055401802, lr = [0.0001] +[2024-05-20 19:54:23,644] - INFO: Evaluate at epoch 305! +[2024-05-20 19:54:29,134] - INFO: Eval PSNR (max): 37.742 (290) SSIM (max): 0.9598 (290) +[2024-05-20 19:54:29,135] - INFO: Eval PSNR (current): 37.702 (305) SSIM (current): 0.9598 (305) +[2024-05-20 19:54:29,135] - INFO: Evaluation over. +[2024-05-20 19:55:37,567] - INFO: Epoch 306/9999, Iter 30500: Loss = 0.017440734431147575, lr = [0.0001] +[2024-05-20 19:55:52,044] - INFO: Epoch 306/9999, Iter 30520: Loss = 0.014795510098338127, lr = [0.0001] +[2024-05-20 19:56:06,513] - INFO: Epoch 306/9999, Iter 30540: Loss = 0.008081313222646713, lr = [0.0001] +[2024-05-20 19:56:20,899] - INFO: Epoch 306/9999, Iter 30560: Loss = 0.011732615530490875, lr = [0.0001] +[2024-05-20 19:56:35,312] - INFO: Epoch 306/9999, Iter 30580: Loss = 0.008986853994429111, lr = [0.0001] +[2024-05-20 19:56:51,240] - INFO: Epoch 307/9999, Iter 30600: Loss = 0.011455177329480648, lr = [0.0001] +[2024-05-20 19:57:05,694] - INFO: Epoch 307/9999, Iter 30620: Loss = 0.015247105620801449, lr = [0.0001] +[2024-05-20 19:57:20,324] - INFO: Epoch 307/9999, Iter 30640: Loss = 0.01308476459234953, lr = [0.0001] +[2024-05-20 19:57:34,859] - INFO: Epoch 307/9999, Iter 30660: Loss = 0.010194732807576656, lr = [0.0001] +[2024-05-20 19:57:49,405] - INFO: Epoch 307/9999, Iter 30680: Loss = 0.01681559532880783, lr = [0.0001] +[2024-05-20 19:58:05,515] - INFO: Epoch 308/9999, Iter 30700: Loss = 0.015747109428048134, lr = [0.0001] +[2024-05-20 19:58:20,062] - INFO: Epoch 308/9999, Iter 30720: Loss = 0.02145722694694996, lr = [0.0001] +[2024-05-20 19:58:34,648] - INFO: Epoch 308/9999, Iter 30740: Loss = 0.013694862835109234, lr = [0.0001] +[2024-05-20 19:58:49,404] - INFO: Epoch 308/9999, Iter 30760: Loss = 0.021663153544068336, lr = [0.0001] +[2024-05-20 19:59:04,172] - INFO: Epoch 308/9999, Iter 30780: Loss = 0.01483462005853653, lr = [0.0001] +[2024-05-20 19:59:20,164] - INFO: Epoch 309/9999, Iter 30800: Loss = 0.013992982916533947, lr = [0.0001] +[2024-05-20 19:59:35,006] - INFO: Epoch 309/9999, Iter 30820: Loss = 0.010628108866512775, lr = [0.0001] +[2024-05-20 19:59:49,810] - INFO: Epoch 309/9999, Iter 30840: Loss = 0.014213469810783863, lr = [0.0001] +[2024-05-20 20:00:04,525] - INFO: Epoch 309/9999, Iter 30860: Loss = 0.01971672661602497, lr = [0.0001] +[2024-05-20 20:00:19,306] - INFO: Epoch 309/9999, Iter 30880: Loss = 0.016033371910452843, lr = [0.0001] +[2024-05-20 20:00:35,273] - INFO: Epoch 310/9999, Iter 30900: Loss = 0.013103010132908821, lr = [0.0001] +[2024-05-20 20:00:50,110] - INFO: Epoch 310/9999, Iter 30920: Loss = 0.01855919323861599, lr = [0.0001] +[2024-05-20 20:01:04,894] - INFO: Epoch 310/9999, Iter 30940: Loss = 0.018609292805194855, lr = [0.0001] +[2024-05-20 20:01:19,568] - INFO: Epoch 310/9999, Iter 30960: Loss = 0.010768407955765724, lr = [0.0001] +[2024-05-20 20:01:34,340] - INFO: Epoch 310/9999, Iter 30980: Loss = 0.013894451782107353, lr = [0.0001] +[2024-05-20 20:01:48,884] - INFO: Evaluate at epoch 310! +[2024-05-20 20:01:53,823] - INFO: Eval PSNR (max): 37.742 (290) SSIM (max): 0.9598 (290) +[2024-05-20 20:01:53,823] - INFO: Eval PSNR (current): 37.686 (310) SSIM (current): 0.9598 (310) +[2024-05-20 20:01:53,824] - INFO: Evaluation over. +[2024-05-20 20:03:04,283] - INFO: Epoch 311/9999, Iter 31000: Loss = 0.010446506552398205, lr = [0.0001] +[2024-05-20 20:03:18,662] - INFO: Epoch 311/9999, Iter 31020: Loss = 0.010889618657529354, lr = [0.0001] +[2024-05-20 20:03:32,978] - INFO: Epoch 311/9999, Iter 31040: Loss = 0.01636207289993763, lr = [0.0001] +[2024-05-20 20:03:47,414] - INFO: Epoch 311/9999, Iter 31060: Loss = 0.025077929720282555, lr = [0.0001] +[2024-05-20 20:04:01,944] - INFO: Epoch 311/9999, Iter 31080: Loss = 0.026545478031039238, lr = [0.0001] +[2024-05-20 20:04:17,631] - INFO: Epoch 312/9999, Iter 31100: Loss = 0.025768116116523743, lr = [0.0001] +[2024-05-20 20:04:32,240] - INFO: Epoch 312/9999, Iter 31120: Loss = 0.013147450983524323, lr = [0.0001] +[2024-05-20 20:04:46,804] - INFO: Epoch 312/9999, Iter 31140: Loss = 0.012225771322846413, lr = [0.0001] +[2024-05-20 20:05:01,405] - INFO: Epoch 312/9999, Iter 31160: Loss = 0.012113464996218681, lr = [0.0001] +[2024-05-20 20:05:16,016] - INFO: Epoch 312/9999, Iter 31180: Loss = 0.01580580323934555, lr = [0.0001] +[2024-05-20 20:05:31,870] - INFO: Epoch 313/9999, Iter 31200: Loss = 0.01634770631790161, lr = [0.0001] +[2024-05-20 20:05:46,688] - INFO: Epoch 313/9999, Iter 31220: Loss = 0.010961472056806087, lr = [0.0001] +[2024-05-20 20:06:01,343] - INFO: Epoch 313/9999, Iter 31240: Loss = 0.011301069520413876, lr = [0.0001] +[2024-05-20 20:06:16,045] - INFO: Epoch 313/9999, Iter 31260: Loss = 0.023506036028265953, lr = [0.0001] +[2024-05-20 20:06:30,764] - INFO: Epoch 313/9999, Iter 31280: Loss = 0.013373839668929577, lr = [0.0001] +[2024-05-20 20:06:47,108] - INFO: Epoch 314/9999, Iter 31300: Loss = 0.012700416147708893, lr = [0.0001] +[2024-05-20 20:07:01,827] - INFO: Epoch 314/9999, Iter 31320: Loss = 0.009169784374535084, lr = [0.0001] +[2024-05-20 20:07:16,578] - INFO: Epoch 314/9999, Iter 31340: Loss = 0.010162311606109142, lr = [0.0001] +[2024-05-20 20:07:31,380] - INFO: Epoch 314/9999, Iter 31360: Loss = 0.012156696990132332, lr = [0.0001] +[2024-05-20 20:07:46,203] - INFO: Epoch 314/9999, Iter 31380: Loss = 0.014319459907710552, lr = [0.0001] +[2024-05-20 20:08:02,536] - INFO: Epoch 315/9999, Iter 31400: Loss = 0.01001083292067051, lr = [0.0001] +[2024-05-20 20:08:17,323] - INFO: Epoch 315/9999, Iter 31420: Loss = 0.012875545769929886, lr = [0.0001] +[2024-05-20 20:08:31,956] - INFO: Epoch 315/9999, Iter 31440: Loss = 0.014945536851882935, lr = [0.0001] +[2024-05-20 20:08:46,674] - INFO: Epoch 315/9999, Iter 31460: Loss = 0.011944967322051525, lr = [0.0001] +[2024-05-20 20:09:01,387] - INFO: Epoch 315/9999, Iter 31480: Loss = 0.013132361695170403, lr = [0.0001] +[2024-05-20 20:09:15,896] - INFO: Evaluate at epoch 315! +[2024-05-20 20:09:21,298] - INFO: Eval PSNR (max): 37.742 (290) SSIM (max): 0.9598 (290) +[2024-05-20 20:09:21,298] - INFO: Eval PSNR (current): 37.574 (315) SSIM (current): 0.9597 (315) +[2024-05-20 20:09:21,298] - INFO: Evaluation over. +[2024-05-20 20:10:28,374] - INFO: Epoch 316/9999, Iter 31500: Loss = 0.010365448892116547, lr = [0.0001] +[2024-05-20 20:10:42,674] - INFO: Epoch 316/9999, Iter 31520: Loss = 0.012223511002957821, lr = [0.0001] +[2024-05-20 20:10:57,118] - INFO: Epoch 316/9999, Iter 31540: Loss = 0.013084371574223042, lr = [0.0001] +[2024-05-20 20:11:11,567] - INFO: Epoch 316/9999, Iter 31560: Loss = 0.0125009436160326, lr = [0.0001] +[2024-05-20 20:11:26,051] - INFO: Epoch 316/9999, Iter 31580: Loss = 0.01970488578081131, lr = [0.0001] +[2024-05-20 20:11:41,900] - INFO: Epoch 317/9999, Iter 31600: Loss = 0.022208353504538536, lr = [0.0001] +[2024-05-20 20:11:56,516] - INFO: Epoch 317/9999, Iter 31620: Loss = 0.011364990845322609, lr = [0.0001] +[2024-05-20 20:12:11,104] - INFO: Epoch 317/9999, Iter 31640: Loss = 0.012798285111784935, lr = [0.0001] +[2024-05-20 20:12:25,671] - INFO: Epoch 317/9999, Iter 31660: Loss = 0.014118722639977932, lr = [0.0001] +[2024-05-20 20:12:40,149] - INFO: Epoch 317/9999, Iter 31680: Loss = 0.01145403366535902, lr = [0.0001] +[2024-05-20 20:12:56,035] - INFO: Epoch 318/9999, Iter 31700: Loss = 0.02373386174440384, lr = [0.0001] +[2024-05-20 20:13:10,694] - INFO: Epoch 318/9999, Iter 31720: Loss = 0.011563468724489212, lr = [0.0001] +[2024-05-20 20:13:25,263] - INFO: Epoch 318/9999, Iter 31740: Loss = 0.009961026720702648, lr = [0.0001] +[2024-05-20 20:13:39,974] - INFO: Epoch 318/9999, Iter 31760: Loss = 0.010357033461332321, lr = [0.0001] +[2024-05-20 20:13:54,681] - INFO: Epoch 318/9999, Iter 31780: Loss = 0.010085104033350945, lr = [0.0001] +[2024-05-20 20:14:10,710] - INFO: Epoch 319/9999, Iter 31800: Loss = 0.017324361950159073, lr = [0.0001] +[2024-05-20 20:14:25,363] - INFO: Epoch 319/9999, Iter 31820: Loss = 0.017127158120274544, lr = [0.0001] +[2024-05-20 20:14:40,067] - INFO: Epoch 319/9999, Iter 31840: Loss = 0.017212750390172005, lr = [0.0001] +[2024-05-20 20:14:54,796] - INFO: Epoch 319/9999, Iter 31860: Loss = 0.017774835228919983, lr = [0.0001] +[2024-05-20 20:15:11,432] - INFO: Epoch 319/9999, Iter 31880: Loss = 0.011935916729271412, lr = [0.0001] +[2024-05-20 20:15:27,487] - INFO: Epoch 320/9999, Iter 31900: Loss = 0.011986566707491875, lr = [0.0001] +[2024-05-20 20:15:42,146] - INFO: Epoch 320/9999, Iter 31920: Loss = 0.012873869389295578, lr = [0.0001] +[2024-05-20 20:15:56,776] - INFO: Epoch 320/9999, Iter 31940: Loss = 0.02045799233019352, lr = [0.0001] +[2024-05-20 20:16:11,280] - INFO: Epoch 320/9999, Iter 31960: Loss = 0.007619531825184822, lr = [0.0001] +[2024-05-20 20:16:25,888] - INFO: Epoch 320/9999, Iter 31980: Loss = 0.01499779149889946, lr = [0.0001] +[2024-05-20 20:16:40,165] - INFO: Evaluate at epoch 320! +[2024-05-20 20:16:45,156] - INFO: Eval PSNR (max): 37.742 (290) SSIM (max): 0.9598 (290) +[2024-05-20 20:16:45,156] - INFO: Eval PSNR (current): 37.564 (320) SSIM (current): 0.9590 (320) +[2024-05-20 20:16:45,156] - INFO: Evaluation over. +[2024-05-20 20:17:44,823] - INFO: Epoch 321/9999, Iter 32000: Loss = 0.019490281119942665, lr = [0.0001] +[2024-05-20 20:17:59,097] - INFO: Epoch 321/9999, Iter 32020: Loss = 0.009406556375324726, lr = [0.0001] +[2024-05-20 20:18:13,588] - INFO: Epoch 321/9999, Iter 32040: Loss = 0.008887002244591713, lr = [0.0001] +[2024-05-20 20:18:27,972] - INFO: Epoch 321/9999, Iter 32060: Loss = 0.011485022492706776, lr = [0.0001] +[2024-05-20 20:18:42,331] - INFO: Epoch 321/9999, Iter 32080: Loss = 0.01350900623947382, lr = [0.0001] +[2024-05-20 20:18:58,297] - INFO: Epoch 322/9999, Iter 32100: Loss = 0.013017571531236172, lr = [0.0001] +[2024-05-20 20:19:12,802] - INFO: Epoch 322/9999, Iter 32120: Loss = 0.01403095480054617, lr = [0.0001] +[2024-05-20 20:19:27,479] - INFO: Epoch 322/9999, Iter 32140: Loss = 0.010799637995660305, lr = [0.0001] +[2024-05-20 20:19:42,027] - INFO: Epoch 322/9999, Iter 32160: Loss = 0.02178230509161949, lr = [0.0001] +[2024-05-20 20:21:46,513] - INFO: Epoch 322/9999, Iter 32180: Loss = 0.020617304369807243, lr = [0.0001] +[2024-05-20 20:22:01,960] - INFO: Epoch 323/9999, Iter 32200: Loss = 0.006207128521054983, lr = [0.0001] +[2024-05-20 20:22:16,388] - INFO: Epoch 323/9999, Iter 32220: Loss = 0.016879644244909286, lr = [0.0001] +[2024-05-20 20:22:30,960] - INFO: Epoch 323/9999, Iter 32240: Loss = 0.00913291983306408, lr = [0.0001] +[2024-05-20 20:22:45,334] - INFO: Epoch 323/9999, Iter 32260: Loss = 0.012329649180173874, lr = [0.0001] +[2024-05-20 20:22:59,775] - INFO: Epoch 323/9999, Iter 32280: Loss = 0.01842145062983036, lr = [0.0001] +[2024-05-20 20:23:15,581] - INFO: Epoch 324/9999, Iter 32300: Loss = 0.020831847563385963, lr = [0.0001] +[2024-05-20 20:23:30,108] - INFO: Epoch 324/9999, Iter 32320: Loss = 0.0071522267535328865, lr = [0.0001] +[2024-05-20 20:23:44,659] - INFO: Epoch 324/9999, Iter 32340: Loss = 0.02220005914568901, lr = [0.0001] +[2024-05-20 20:25:53,570] - INFO: Epoch 324/9999, Iter 32360: Loss = 0.01030499953776598, lr = [0.0001] +[2024-05-20 20:26:07,988] - INFO: Epoch 324/9999, Iter 32380: Loss = 0.009731990285217762, lr = [0.0001] +[2024-05-20 20:26:23,500] - INFO: Epoch 325/9999, Iter 32400: Loss = 0.01795293018221855, lr = [0.0001] +[2024-05-20 20:26:37,909] - INFO: Epoch 325/9999, Iter 32420: Loss = 0.01723734848201275, lr = [0.0001] +[2024-05-20 20:26:52,224] - INFO: Epoch 325/9999, Iter 32440: Loss = 0.012956934981048107, lr = [0.0001] +[2024-05-20 20:27:06,573] - INFO: Epoch 325/9999, Iter 32460: Loss = 0.019327154383063316, lr = [0.0001] +[2024-05-20 20:27:21,019] - INFO: Epoch 325/9999, Iter 32480: Loss = 0.01769433729350567, lr = [0.0001] +[2024-05-20 20:27:35,082] - INFO: Evaluate at epoch 325! +[2024-05-20 20:30:40,666] - INFO: Eval PSNR (max): 37.752 (325) SSIM (max): 0.9598 (290) +[2024-05-20 20:30:40,670] - INFO: Eval PSNR (current): 37.752 (325) SSIM (current): 0.9598 (325) +[2024-05-20 20:30:40,670] - INFO: Evaluation over. +[2024-05-20 20:31:54,843] - INFO: Epoch 326/9999, Iter 32500: Loss = 0.009102802723646164, lr = [0.0001] +[2024-05-20 20:32:08,984] - INFO: Epoch 326/9999, Iter 32520: Loss = 0.010523329488933086, lr = [0.0001] +[2024-05-20 20:32:23,181] - INFO: Epoch 326/9999, Iter 32540: Loss = 0.01584276184439659, lr = [0.0001] +[2024-05-20 20:32:37,468] - INFO: Epoch 326/9999, Iter 32560: Loss = 0.014640582725405693, lr = [0.0001] +[2024-05-20 20:32:51,824] - INFO: Epoch 326/9999, Iter 32580: Loss = 0.0194175373762846, lr = [0.0001] +[2024-05-20 20:33:07,585] - INFO: Epoch 327/9999, Iter 32600: Loss = 0.02108096145093441, lr = [0.0001] +[2024-05-20 20:33:22,126] - INFO: Epoch 327/9999, Iter 32620: Loss = 0.011705470271408558, lr = [0.0001] +[2024-05-20 20:33:36,618] - INFO: Epoch 327/9999, Iter 32640: Loss = 0.01800321787595749, lr = [0.0001] +[2024-05-20 20:33:51,067] - INFO: Epoch 327/9999, Iter 32660: Loss = 0.00789438933134079, lr = [0.0001] +[2024-05-20 20:34:05,524] - INFO: Epoch 327/9999, Iter 32680: Loss = 0.013529793359339237, lr = [0.0001] +[2024-05-20 20:34:21,274] - INFO: Epoch 328/9999, Iter 32700: Loss = 0.011004180647432804, lr = [0.0001] +[2024-05-20 20:34:35,733] - INFO: Epoch 328/9999, Iter 32720: Loss = 0.012224609963595867, lr = [0.0001] +[2024-05-20 20:34:50,215] - INFO: Epoch 328/9999, Iter 32740: Loss = 0.019607748836278915, lr = [0.0001] +[2024-05-20 20:35:04,821] - INFO: Epoch 328/9999, Iter 32760: Loss = 0.013148645870387554, lr = [0.0001] +[2024-05-20 20:35:19,416] - INFO: Epoch 328/9999, Iter 32780: Loss = 0.02356170490384102, lr = [0.0001] +[2024-05-20 20:35:35,268] - INFO: Epoch 329/9999, Iter 32800: Loss = 0.012762968428432941, lr = [0.0001] +[2024-05-20 20:35:49,900] - INFO: Epoch 329/9999, Iter 32820: Loss = 0.012482338584959507, lr = [0.0001] +[2024-05-20 20:36:04,527] - INFO: Epoch 329/9999, Iter 32840: Loss = 0.013524048961699009, lr = [0.0001] +[2024-05-20 20:36:19,117] - INFO: Epoch 329/9999, Iter 32860: Loss = 0.021199742332100868, lr = [0.0001] +[2024-05-20 20:36:33,684] - INFO: Epoch 329/9999, Iter 32880: Loss = 0.015655625611543655, lr = [0.0001] +[2024-05-20 20:36:49,540] - INFO: Epoch 330/9999, Iter 32900: Loss = 0.013185911811888218, lr = [0.0001] +[2024-05-20 20:37:04,150] - INFO: Epoch 330/9999, Iter 32920: Loss = 0.018328625708818436, lr = [0.0001] +[2024-05-20 20:37:18,765] - INFO: Epoch 330/9999, Iter 32940: Loss = 0.011484925635159016, lr = [0.0001] +[2024-05-20 20:37:33,486] - INFO: Epoch 330/9999, Iter 32960: Loss = 0.00981886126101017, lr = [0.0001] +[2024-05-20 20:37:48,172] - INFO: Epoch 330/9999, Iter 32980: Loss = 0.014307498000562191, lr = [0.0001] +[2024-05-20 20:38:02,538] - INFO: Evaluate at epoch 330! +[2024-05-20 20:38:11,177] - INFO: Eval PSNR (max): 37.752 (325) SSIM (max): 0.9598 (290) +[2024-05-20 20:38:11,178] - INFO: Eval PSNR (current): 37.202 (330) SSIM (current): 0.9591 (330) +[2024-05-20 20:38:11,178] - INFO: Evaluation over. +[2024-05-20 20:43:42,470] - INFO: Epoch 331/9999, Iter 33000: Loss = 0.008575248531997204, lr = [0.0001] +[2024-05-20 20:43:56,807] - INFO: Epoch 331/9999, Iter 33020: Loss = 0.01468668133020401, lr = [0.0001] +[2024-05-20 20:44:11,012] - INFO: Epoch 331/9999, Iter 33040: Loss = 0.00781282875686884, lr = [0.0001] +[2024-05-20 20:44:25,438] - INFO: Epoch 331/9999, Iter 33060: Loss = 0.011476761661469936, lr = [0.0001] +[2024-05-20 20:44:39,884] - INFO: Epoch 331/9999, Iter 33080: Loss = 0.017806561663746834, lr = [0.0001] +[2024-05-20 20:44:55,438] - INFO: Epoch 332/9999, Iter 33100: Loss = 0.010342694818973541, lr = [0.0001] +[2024-05-20 20:45:09,696] - INFO: Epoch 332/9999, Iter 33120: Loss = 0.021787097677588463, lr = [0.0001] +[2024-05-20 20:45:24,104] - INFO: Epoch 332/9999, Iter 33140: Loss = 0.0165778286755085, lr = [0.0001] +[2024-05-20 20:45:38,482] - INFO: Epoch 332/9999, Iter 33160: Loss = 0.01637638732790947, lr = [0.0001] +[2024-05-20 20:45:52,946] - INFO: Epoch 332/9999, Iter 33180: Loss = 0.019071664661169052, lr = [0.0001] +[2024-05-20 20:46:08,644] - INFO: Epoch 333/9999, Iter 33200: Loss = 0.01709231361746788, lr = [0.0001] +[2024-05-20 20:46:23,120] - INFO: Epoch 333/9999, Iter 33220: Loss = 0.015564143657684326, lr = [0.0001] +[2024-05-20 20:46:37,703] - INFO: Epoch 333/9999, Iter 33240: Loss = 0.012641862034797668, lr = [0.0001] +[2024-05-20 20:46:52,229] - INFO: Epoch 333/9999, Iter 33260: Loss = 0.014263618737459183, lr = [0.0001] +[2024-05-20 20:47:06,801] - INFO: Epoch 333/9999, Iter 33280: Loss = 0.015105947852134705, lr = [0.0001] +[2024-05-20 20:47:22,803] - INFO: Epoch 334/9999, Iter 33300: Loss = 0.02576439455151558, lr = [0.0001] +[2024-05-20 20:47:37,460] - INFO: Epoch 334/9999, Iter 33320: Loss = 0.00960643868893385, lr = [0.0001] +[2024-05-20 20:47:52,153] - INFO: Epoch 334/9999, Iter 33340: Loss = 0.01566454768180847, lr = [0.0001] +[2024-05-20 20:48:06,755] - INFO: Epoch 334/9999, Iter 33360: Loss = 0.013286272995173931, lr = [0.0001] +[2024-05-20 20:48:21,391] - INFO: Epoch 334/9999, Iter 33380: Loss = 0.02187715284526348, lr = [0.0001] +[2024-05-20 20:48:37,500] - INFO: Epoch 335/9999, Iter 33400: Loss = 0.012523338198661804, lr = [0.0001] +[2024-05-20 20:48:52,407] - INFO: Epoch 335/9999, Iter 33420: Loss = 0.007903321646153927, lr = [0.0001] +[2024-05-20 20:49:07,068] - INFO: Epoch 335/9999, Iter 33440: Loss = 0.016696525737643242, lr = [0.0001] +[2024-05-20 20:49:21,777] - INFO: Epoch 335/9999, Iter 33460: Loss = 0.011077157221734524, lr = [0.0001] +[2024-05-20 20:49:36,496] - INFO: Epoch 335/9999, Iter 33480: Loss = 0.012477634474635124, lr = [0.0001] +[2024-05-20 20:49:50,861] - INFO: Evaluate at epoch 335! +[2024-05-20 20:49:56,168] - INFO: Eval PSNR (max): 37.752 (325) SSIM (max): 0.9598 (290) +[2024-05-20 20:49:56,168] - INFO: Eval PSNR (current): 37.674 (335) SSIM (current): 0.9595 (335) +[2024-05-20 20:49:56,168] - INFO: Evaluation over. +[2024-05-20 20:51:06,915] - INFO: Epoch 336/9999, Iter 33500: Loss = 0.02596864476799965, lr = [0.0001] +[2024-05-20 20:51:21,164] - INFO: Epoch 336/9999, Iter 33520: Loss = 0.01424352079629898, lr = [0.0001] +[2024-05-20 20:51:35,743] - INFO: Epoch 336/9999, Iter 33540: Loss = 0.02374260686337948, lr = [0.0001] +[2024-05-20 20:51:50,146] - INFO: Epoch 336/9999, Iter 33560: Loss = 0.012465475127100945, lr = [0.0001] +[2024-05-20 20:52:04,621] - INFO: Epoch 336/9999, Iter 33580: Loss = 0.008880788460373878, lr = [0.0001] +[2024-05-20 20:52:20,436] - INFO: Epoch 337/9999, Iter 33600: Loss = 0.01343141682446003, lr = [0.0001] +[2024-05-20 20:52:34,935] - INFO: Epoch 337/9999, Iter 33620: Loss = 0.011496903374791145, lr = [0.0001] +[2024-05-20 20:52:49,498] - INFO: Epoch 337/9999, Iter 33640: Loss = 0.013952215202152729, lr = [0.0001] +[2024-05-20 20:53:04,016] - INFO: Epoch 337/9999, Iter 33660: Loss = 0.013687477447092533, lr = [0.0001] +[2024-05-20 20:53:18,622] - INFO: Epoch 337/9999, Iter 33680: Loss = 0.010364566929638386, lr = [0.0001] +[2024-05-20 20:53:34,650] - INFO: Epoch 338/9999, Iter 33700: Loss = 0.017208227887749672, lr = [0.0001] +[2024-05-20 20:53:49,264] - INFO: Epoch 338/9999, Iter 33720: Loss = 0.009418637491762638, lr = [0.0001] +[2024-05-20 20:54:03,946] - INFO: Epoch 338/9999, Iter 33740: Loss = 0.008533395826816559, lr = [0.0001] +[2024-05-20 20:54:18,617] - INFO: Epoch 338/9999, Iter 33760: Loss = 0.010756115429103374, lr = [0.0001] +[2024-05-20 20:54:33,237] - INFO: Epoch 338/9999, Iter 33780: Loss = 0.007651659194380045, lr = [0.0001] +[2024-05-20 20:54:49,228] - INFO: Epoch 339/9999, Iter 33800: Loss = 0.011025422252714634, lr = [0.0001] +[2024-05-20 20:55:03,970] - INFO: Epoch 339/9999, Iter 33820: Loss = 0.014043638482689857, lr = [0.0001] +[2024-05-20 20:55:18,704] - INFO: Epoch 339/9999, Iter 33840: Loss = 0.014977313578128815, lr = [0.0001] +[2024-05-20 20:55:33,465] - INFO: Epoch 339/9999, Iter 33860: Loss = 0.006872283294796944, lr = [0.0001] +[2024-05-20 20:55:48,260] - INFO: Epoch 339/9999, Iter 33880: Loss = 0.009923010133206844, lr = [0.0001] +[2024-05-20 20:56:04,116] - INFO: Epoch 340/9999, Iter 33900: Loss = 0.018848037347197533, lr = [0.0001] +[2024-05-20 20:56:19,040] - INFO: Epoch 340/9999, Iter 33920: Loss = 0.013377626426517963, lr = [0.0001] +[2024-05-20 20:56:33,787] - INFO: Epoch 340/9999, Iter 33940: Loss = 0.007568629924207926, lr = [0.0001] +[2024-05-20 20:56:48,557] - INFO: Epoch 340/9999, Iter 33960: Loss = 0.009516875259578228, lr = [0.0001] +[2024-05-20 20:57:03,400] - INFO: Epoch 340/9999, Iter 33980: Loss = 0.01893201656639576, lr = [0.0001] +[2024-05-20 20:57:17,845] - INFO: Evaluate at epoch 340! +[2024-05-20 20:57:22,793] - INFO: Eval PSNR (max): 37.752 (325) SSIM (max): 0.9598 (290) +[2024-05-20 20:57:22,793] - INFO: Eval PSNR (current): 37.672 (340) SSIM (current): 0.9596 (340) +[2024-05-20 20:57:22,793] - INFO: Evaluation over. +[2024-05-20 20:58:32,402] - INFO: Epoch 341/9999, Iter 34000: Loss = 0.016179289668798447, lr = [0.0001] +[2024-05-20 20:58:47,023] - INFO: Epoch 341/9999, Iter 34020: Loss = 0.009309784509241581, lr = [0.0001] +[2024-05-20 20:59:01,434] - INFO: Epoch 341/9999, Iter 34040: Loss = 0.023123744875192642, lr = [0.0001] +[2024-05-20 20:59:15,941] - INFO: Epoch 341/9999, Iter 34060: Loss = 0.01757047511637211, lr = [0.0001] +[2024-05-20 20:59:30,416] - INFO: Epoch 341/9999, Iter 34080: Loss = 0.012669991701841354, lr = [0.0001] +[2024-05-20 20:59:46,292] - INFO: Epoch 342/9999, Iter 34100: Loss = 0.010872535407543182, lr = [0.0001] +[2024-05-20 21:00:00,811] - INFO: Epoch 342/9999, Iter 34120: Loss = 0.020240459591150284, lr = [0.0001] +[2024-05-20 21:00:15,387] - INFO: Epoch 342/9999, Iter 34140: Loss = 0.011976910755038261, lr = [0.0001] +[2024-05-20 21:00:29,914] - INFO: Epoch 342/9999, Iter 34160: Loss = 0.017465269193053246, lr = [0.0001] +[2024-05-20 21:00:44,528] - INFO: Epoch 342/9999, Iter 34180: Loss = 0.01971222460269928, lr = [0.0001] +[2024-05-20 21:01:00,322] - INFO: Epoch 343/9999, Iter 34200: Loss = 0.018161719664931297, lr = [0.0001] +[2024-05-20 21:01:14,916] - INFO: Epoch 343/9999, Iter 34220: Loss = 0.014401798136532307, lr = [0.0001] +[2024-05-20 21:01:29,548] - INFO: Epoch 343/9999, Iter 34240: Loss = 0.02260730229318142, lr = [0.0001] +[2024-05-20 21:01:44,169] - INFO: Epoch 343/9999, Iter 34260: Loss = 0.01373248640447855, lr = [0.0001] +[2024-05-20 21:01:58,956] - INFO: Epoch 343/9999, Iter 34280: Loss = 0.014151202514767647, lr = [0.0001] +[2024-05-20 21:02:14,985] - INFO: Epoch 344/9999, Iter 34300: Loss = 0.01744392327964306, lr = [0.0001] +[2024-05-20 21:02:29,876] - INFO: Epoch 344/9999, Iter 34320: Loss = 0.009564570151269436, lr = [0.0001] +[2024-05-20 21:02:44,724] - INFO: Epoch 344/9999, Iter 34340: Loss = 0.014667467214167118, lr = [0.0001] +[2024-05-20 21:02:59,452] - INFO: Epoch 344/9999, Iter 34360: Loss = 0.009095589630305767, lr = [0.0001] +[2024-05-20 21:03:14,208] - INFO: Epoch 344/9999, Iter 34380: Loss = 0.011928964406251907, lr = [0.0001] +[2024-05-20 21:03:30,432] - INFO: Epoch 345/9999, Iter 34400: Loss = 0.02020663022994995, lr = [0.0001] +[2024-05-20 21:03:45,372] - INFO: Epoch 345/9999, Iter 34420: Loss = 0.018915997818112373, lr = [0.0001] +[2024-05-20 21:04:00,249] - INFO: Epoch 345/9999, Iter 34440: Loss = 0.0129006989300251, lr = [0.0001] +[2024-05-20 21:04:15,009] - INFO: Epoch 345/9999, Iter 34460: Loss = 0.012334696017205715, lr = [0.0001] +[2024-05-20 21:04:29,804] - INFO: Epoch 345/9999, Iter 34480: Loss = 0.020374638959765434, lr = [0.0001] +[2024-05-20 21:04:44,282] - INFO: Evaluate at epoch 345! +[2024-05-20 21:04:49,899] - INFO: Eval PSNR (max): 37.752 (325) SSIM (max): 0.9598 (290) +[2024-05-20 21:04:49,900] - INFO: Eval PSNR (current): 37.561 (345) SSIM (current): 0.9594 (345) +[2024-05-20 21:04:49,900] - INFO: Evaluation over. +[2024-05-20 21:05:59,805] - INFO: Epoch 346/9999, Iter 34500: Loss = 0.010877983644604683, lr = [0.0001] +[2024-05-20 21:06:14,397] - INFO: Epoch 346/9999, Iter 34520: Loss = 0.008227585814893246, lr = [0.0001] +[2024-05-20 21:06:28,836] - INFO: Epoch 346/9999, Iter 34540: Loss = 0.019020946696400642, lr = [0.0001] +[2024-05-20 21:06:43,234] - INFO: Epoch 346/9999, Iter 34560: Loss = 0.009139405563473701, lr = [0.0001] +[2024-05-20 21:06:57,860] - INFO: Epoch 346/9999, Iter 34580: Loss = 0.014088348485529423, lr = [0.0001] +[2024-05-20 21:07:13,865] - INFO: Epoch 347/9999, Iter 34600: Loss = 0.01126792747527361, lr = [0.0001] +[2024-05-20 21:07:28,380] - INFO: Epoch 347/9999, Iter 34620: Loss = 0.014667478390038013, lr = [0.0001] +[2024-05-20 21:07:42,932] - INFO: Epoch 347/9999, Iter 34640: Loss = 0.012877791188657284, lr = [0.0001] +[2024-05-20 21:07:57,485] - INFO: Epoch 347/9999, Iter 34660: Loss = 0.018643684685230255, lr = [0.0001] +[2024-05-20 21:08:12,084] - INFO: Epoch 347/9999, Iter 34680: Loss = 0.015256207436323166, lr = [0.0001] +[2024-05-20 21:08:28,135] - INFO: Epoch 348/9999, Iter 34700: Loss = 0.016667496412992477, lr = [0.0001] +[2024-05-20 21:08:42,822] - INFO: Epoch 348/9999, Iter 34720: Loss = 0.012858808971941471, lr = [0.0001] +[2024-05-20 21:08:57,414] - INFO: Epoch 348/9999, Iter 34740: Loss = 0.010639796033501625, lr = [0.0001] +[2024-05-20 21:09:12,080] - INFO: Epoch 348/9999, Iter 34760: Loss = 0.01023450493812561, lr = [0.0001] +[2024-05-20 21:09:26,782] - INFO: Epoch 348/9999, Iter 34780: Loss = 0.01175523828715086, lr = [0.0001] +[2024-05-20 21:09:43,140] - INFO: Epoch 349/9999, Iter 34800: Loss = 0.007525599095970392, lr = [0.0001] +[2024-05-20 21:09:57,926] - INFO: Epoch 349/9999, Iter 34820: Loss = 0.013225932605564594, lr = [0.0001] +[2024-05-20 21:10:12,692] - INFO: Epoch 349/9999, Iter 34840: Loss = 0.010260997340083122, lr = [0.0001] +[2024-05-20 21:10:27,551] - INFO: Epoch 349/9999, Iter 34860: Loss = 0.01582988165318966, lr = [0.0001] +[2024-05-20 21:10:42,233] - INFO: Epoch 349/9999, Iter 34880: Loss = 0.017429202795028687, lr = [0.0001] +[2024-05-20 21:10:58,056] - INFO: Epoch 350/9999, Iter 34900: Loss = 0.013101224787533283, lr = [0.0001] +[2024-05-20 21:11:12,932] - INFO: Epoch 350/9999, Iter 34920: Loss = 0.017726633697748184, lr = [0.0001] +[2024-05-20 21:11:27,780] - INFO: Epoch 350/9999, Iter 34940: Loss = 0.006473147310316563, lr = [0.0001] +[2024-05-20 21:11:42,580] - INFO: Epoch 350/9999, Iter 34960: Loss = 0.007658475078642368, lr = [0.0001] +[2024-05-20 21:11:57,420] - INFO: Epoch 350/9999, Iter 34980: Loss = 0.011693625710904598, lr = [0.0001] +[2024-05-20 21:12:12,046] - INFO: Evaluate at epoch 350! +[2024-05-20 21:12:16,947] - INFO: Eval PSNR (max): 37.752 (325) SSIM (max): 0.9598 (290) +[2024-05-20 21:12:16,947] - INFO: Eval PSNR (current): 37.565 (350) SSIM (current): 0.9597 (350) +[2024-05-20 21:12:16,947] - INFO: Evaluation over. +[2024-05-20 21:14:24,427] - INFO: Epoch 351/9999, Iter 35000: Loss = 0.016386928036808968, lr = [0.0001] +[2024-05-20 21:14:38,702] - INFO: Epoch 351/9999, Iter 35020: Loss = 0.004771455656737089, lr = [0.0001] +[2024-05-20 21:14:53,125] - INFO: Epoch 351/9999, Iter 35040: Loss = 0.009324079379439354, lr = [0.0001] +[2024-05-20 21:15:26,936] - INFO: Epoch 351/9999, Iter 35060: Loss = 0.012597296386957169, lr = [0.0001] +[2024-05-20 21:15:41,314] - INFO: Epoch 351/9999, Iter 35080: Loss = 0.00844321958720684, lr = [0.0001] +[2024-05-20 21:15:57,344] - INFO: Epoch 352/9999, Iter 35100: Loss = 0.016459491103887558, lr = [0.0001] +[2024-05-20 21:16:11,974] - INFO: Epoch 352/9999, Iter 35120: Loss = 0.019657554104924202, lr = [0.0001] +[2024-05-20 21:16:26,349] - INFO: Epoch 352/9999, Iter 35140: Loss = 0.006916861981153488, lr = [0.0001] +[2024-05-20 21:16:40,710] - INFO: Epoch 352/9999, Iter 35160: Loss = 0.03759310767054558, lr = [0.0001] +[2024-05-20 21:16:55,097] - INFO: Epoch 352/9999, Iter 35180: Loss = 2.023824453353882, lr = [0.0001] +[2024-05-20 21:17:11,324] - INFO: Epoch 353/9999, Iter 35200: Loss = 0.2100067138671875, lr = [0.0001] +[2024-05-20 21:17:25,900] - INFO: Epoch 353/9999, Iter 35220: Loss = 0.0694112703204155, lr = [0.0001] +[2024-05-20 21:17:40,477] - INFO: Epoch 353/9999, Iter 35240: Loss = 0.029201198369264603, lr = [0.0001] +[2024-05-20 21:17:55,024] - INFO: Epoch 353/9999, Iter 35260: Loss = 0.030041657388210297, lr = [0.0001] +[2024-05-20 21:18:09,629] - INFO: Epoch 353/9999, Iter 35280: Loss = 0.026085611432790756, lr = [0.0001] +[2024-05-20 21:18:25,754] - INFO: Epoch 354/9999, Iter 35300: Loss = 0.01955537497997284, lr = [0.0001] +[2024-05-20 21:18:40,457] - INFO: Epoch 354/9999, Iter 35320: Loss = 0.018290521577000618, lr = [0.0001] +[2024-05-20 21:19:20,748] - INFO: Epoch 354/9999, Iter 35340: Loss = 0.025986045598983765, lr = [0.0001] +[2024-05-20 21:20:14,609] - INFO: Epoch 354/9999, Iter 35360: Loss = 0.025166356936097145, lr = [0.0001] +[2024-05-20 21:20:29,184] - INFO: Epoch 354/9999, Iter 35380: Loss = 0.01084772776812315, lr = [0.0001] +[2024-05-20 21:20:45,196] - INFO: Epoch 355/9999, Iter 35400: Loss = 0.012770606204867363, lr = [0.0001] +[2024-05-20 21:20:59,702] - INFO: Epoch 355/9999, Iter 35420: Loss = 0.02073502168059349, lr = [0.0001] +[2024-05-20 21:21:14,231] - INFO: Epoch 355/9999, Iter 35440: Loss = 0.018639566376805305, lr = [0.0001] +[2024-05-20 21:21:28,774] - INFO: Epoch 355/9999, Iter 35460: Loss = 0.01111015398055315, lr = [0.0001] +[2024-05-20 21:21:43,316] - INFO: Epoch 355/9999, Iter 35480: Loss = 0.008871114812791348, lr = [0.0001] +[2024-05-20 21:22:53,184] - INFO: Evaluate at epoch 355! +[2024-05-20 21:22:58,391] - INFO: Eval PSNR (max): 37.752 (325) SSIM (max): 0.9598 (290) +[2024-05-20 21:22:58,391] - INFO: Eval PSNR (current): 36.882 (355) SSIM (current): 0.9562 (355) +[2024-05-20 21:22:58,391] - INFO: Evaluation over. +[2024-05-20 21:23:52,592] - INFO: Epoch 356/9999, Iter 35500: Loss = 0.012780094519257545, lr = [0.0001] +[2024-05-20 21:24:07,033] - INFO: Epoch 356/9999, Iter 35520: Loss = 0.013957914896309376, lr = [0.0001] +[2024-05-20 21:24:21,351] - INFO: Epoch 356/9999, Iter 35540: Loss = 0.018788311630487442, lr = [0.0001] +[2024-05-20 21:24:35,685] - INFO: Epoch 356/9999, Iter 35560: Loss = 0.013083433732390404, lr = [0.0001] +[2024-05-20 21:24:49,979] - INFO: Epoch 356/9999, Iter 35580: Loss = 0.019413400441408157, lr = [0.0001] +[2024-05-20 21:25:05,846] - INFO: Epoch 357/9999, Iter 35600: Loss = 0.016117999330163002, lr = [0.0001] +[2024-05-20 21:25:20,249] - INFO: Epoch 357/9999, Iter 35620: Loss = 0.014333676546812057, lr = [0.0001] +[2024-05-20 21:25:34,828] - INFO: Epoch 357/9999, Iter 35640: Loss = 0.014226277358829975, lr = [0.0001] +[2024-05-20 21:25:49,274] - INFO: Epoch 357/9999, Iter 35660: Loss = 0.015951404348015785, lr = [0.0001] +[2024-05-20 21:26:03,772] - INFO: Epoch 357/9999, Iter 35680: Loss = 0.016102803871035576, lr = [0.0001] +[2024-05-20 21:26:19,424] - INFO: Epoch 358/9999, Iter 35700: Loss = 0.014697946608066559, lr = [0.0001] +[2024-05-20 21:26:33,957] - INFO: Epoch 358/9999, Iter 35720: Loss = 0.017730258405208588, lr = [0.0001] +[2024-05-20 21:26:48,530] - INFO: Epoch 358/9999, Iter 35740: Loss = 0.013141541741788387, lr = [0.0001] +[2024-05-20 21:27:03,198] - INFO: Epoch 358/9999, Iter 35760: Loss = 0.012045074254274368, lr = [0.0001] +[2024-05-20 21:27:17,811] - INFO: Epoch 358/9999, Iter 35780: Loss = 0.00966874323785305, lr = [0.0001] +[2024-05-20 21:27:33,999] - INFO: Epoch 359/9999, Iter 35800: Loss = 0.011580226942896843, lr = [0.0001] +[2024-05-20 21:27:48,777] - INFO: Epoch 359/9999, Iter 35820: Loss = 0.013582450337707996, lr = [0.0001] +[2024-05-20 21:28:03,458] - INFO: Epoch 359/9999, Iter 35840: Loss = 0.013618363067507744, lr = [0.0001] +[2024-05-20 21:28:18,043] - INFO: Epoch 359/9999, Iter 35860: Loss = 0.01253262348473072, lr = [0.0001] +[2024-05-20 21:28:32,656] - INFO: Epoch 359/9999, Iter 35880: Loss = 0.014898823574185371, lr = [0.0001] +[2024-05-20 21:28:48,536] - INFO: Epoch 360/9999, Iter 35900: Loss = 0.024386297911405563, lr = [0.0001] +[2024-05-20 21:29:03,219] - INFO: Epoch 360/9999, Iter 35920: Loss = 0.012884548865258694, lr = [0.0001] +[2024-05-20 21:29:17,839] - INFO: Epoch 360/9999, Iter 35940: Loss = 0.019419295713305473, lr = [0.0001] +[2024-05-20 21:29:32,480] - INFO: Epoch 360/9999, Iter 35960: Loss = 0.016886724159121513, lr = [0.0001] +[2024-05-20 21:29:47,252] - INFO: Epoch 360/9999, Iter 35980: Loss = 0.00902287382632494, lr = [0.0001] +[2024-05-20 21:30:01,676] - INFO: Evaluate at epoch 360! +[2024-05-20 21:30:07,356] - INFO: Eval PSNR (max): 37.752 (325) SSIM (max): 0.9598 (290) +[2024-05-20 21:30:07,356] - INFO: Eval PSNR (current): 37.457 (360) SSIM (current): 0.9585 (360) +[2024-05-20 21:30:07,356] - INFO: Evaluation over. +[2024-05-20 21:31:15,524] - INFO: Epoch 361/9999, Iter 36000: Loss = 0.007213654927909374, lr = [0.0001] +[2024-05-20 21:31:29,950] - INFO: Epoch 361/9999, Iter 36020: Loss = 0.015287564136087894, lr = [0.0001] +[2024-05-20 21:31:44,518] - INFO: Epoch 361/9999, Iter 36040: Loss = 0.017418505623936653, lr = [0.0001] +[2024-05-20 21:31:58,902] - INFO: Epoch 361/9999, Iter 36060: Loss = 0.01568084955215454, lr = [0.0001] +[2024-05-20 21:32:13,453] - INFO: Epoch 361/9999, Iter 36080: Loss = 0.014158770442008972, lr = [0.0001] +[2024-05-20 21:32:29,455] - INFO: Epoch 362/9999, Iter 36100: Loss = 0.013341857120394707, lr = [0.0001] +[2024-05-20 21:32:43,929] - INFO: Epoch 362/9999, Iter 36120: Loss = 0.011763266287744045, lr = [0.0001] +[2024-05-20 21:32:58,443] - INFO: Epoch 362/9999, Iter 36140: Loss = 0.016289671882987022, lr = [0.0001] +[2024-05-20 21:33:12,934] - INFO: Epoch 362/9999, Iter 36160: Loss = 0.02336958423256874, lr = [0.0001] +[2024-05-20 21:33:27,553] - INFO: Epoch 362/9999, Iter 36180: Loss = 0.01098930649459362, lr = [0.0001] +[2024-05-20 21:33:43,469] - INFO: Epoch 363/9999, Iter 36200: Loss = 0.016539813950657845, lr = [0.0001] +[2024-05-20 21:33:58,153] - INFO: Epoch 363/9999, Iter 36220: Loss = 0.020083513110876083, lr = [0.0001] +[2024-05-20 21:34:12,873] - INFO: Epoch 363/9999, Iter 36240: Loss = 0.013659478165209293, lr = [0.0001] +[2024-05-20 21:34:27,594] - INFO: Epoch 363/9999, Iter 36260: Loss = 0.009662016294896603, lr = [0.0001] +[2024-05-20 21:34:42,344] - INFO: Epoch 363/9999, Iter 36280: Loss = 0.009734435006976128, lr = [0.0001] +[2024-05-20 21:34:58,574] - INFO: Epoch 364/9999, Iter 36300: Loss = 0.014091270975768566, lr = [0.0001] +[2024-05-20 21:35:13,306] - INFO: Epoch 364/9999, Iter 36320: Loss = 0.015183908864855766, lr = [0.0001] +[2024-05-20 21:35:28,112] - INFO: Epoch 364/9999, Iter 36340: Loss = 0.020318588241934776, lr = [0.0001] +[2024-05-20 21:35:42,812] - INFO: Epoch 364/9999, Iter 36360: Loss = 0.013837308622896671, lr = [0.0001] +[2024-05-20 21:35:57,584] - INFO: Epoch 364/9999, Iter 36380: Loss = 0.013478646986186504, lr = [0.0001] +[2024-05-20 21:36:13,513] - INFO: Epoch 365/9999, Iter 36400: Loss = 0.02389800176024437, lr = [0.0001] +[2024-05-20 21:36:28,492] - INFO: Epoch 365/9999, Iter 36420: Loss = 0.013975806534290314, lr = [0.0001] +[2024-05-20 21:36:43,296] - INFO: Epoch 365/9999, Iter 36440: Loss = 0.01230328157544136, lr = [0.0001] +[2024-05-20 21:36:58,070] - INFO: Epoch 365/9999, Iter 36460: Loss = 0.009109913371503353, lr = [0.0001] +[2024-05-20 21:37:12,825] - INFO: Epoch 365/9999, Iter 36480: Loss = 0.008119775913655758, lr = [0.0001] +[2024-05-20 21:37:27,333] - INFO: Evaluate at epoch 365! +[2024-05-20 21:37:32,505] - INFO: Eval PSNR (max): 37.752 (325) SSIM (max): 0.9598 (290) +[2024-05-20 21:37:32,505] - INFO: Eval PSNR (current): 37.577 (365) SSIM (current): 0.9590 (365) +[2024-05-20 21:37:32,505] - INFO: Evaluation over. +[2024-05-20 21:38:41,657] - INFO: Epoch 366/9999, Iter 36500: Loss = 0.01587028056383133, lr = [0.0001] +[2024-05-20 21:38:56,035] - INFO: Epoch 366/9999, Iter 36520: Loss = 0.014399828389286995, lr = [0.0001] +[2024-05-20 21:39:10,588] - INFO: Epoch 366/9999, Iter 36540: Loss = 0.013339751400053501, lr = [0.0001] +[2024-05-20 21:39:25,048] - INFO: Epoch 366/9999, Iter 36560: Loss = 0.008683054707944393, lr = [0.0001] +[2024-05-20 21:39:39,501] - INFO: Epoch 366/9999, Iter 36580: Loss = 0.012651792727410793, lr = [0.0001] +[2024-05-20 21:39:55,178] - INFO: Epoch 367/9999, Iter 36600: Loss = 0.008331983350217342, lr = [0.0001] +[2024-05-20 21:40:09,692] - INFO: Epoch 367/9999, Iter 36620: Loss = 0.01878817193210125, lr = [0.0001] +[2024-05-20 21:40:24,199] - INFO: Epoch 367/9999, Iter 36640: Loss = 0.012764042243361473, lr = [0.0001] +[2024-05-20 21:40:38,742] - INFO: Epoch 367/9999, Iter 36660: Loss = 0.0134045435115695, lr = [0.0001] +[2024-05-20 21:40:53,312] - INFO: Epoch 367/9999, Iter 36680: Loss = 0.011095607653260231, lr = [0.0001] +[2024-05-20 21:41:09,274] - INFO: Epoch 368/9999, Iter 36700: Loss = 0.013552148826420307, lr = [0.0001] +[2024-05-20 21:41:23,958] - INFO: Epoch 368/9999, Iter 36720: Loss = 0.01043443288654089, lr = [0.0001] +[2024-05-20 21:41:38,564] - INFO: Epoch 368/9999, Iter 36740: Loss = 0.012074130587279797, lr = [0.0001] +[2024-05-20 21:41:53,164] - INFO: Epoch 368/9999, Iter 36760: Loss = 0.011834115721285343, lr = [0.0001] +[2024-05-20 21:42:07,819] - INFO: Epoch 368/9999, Iter 36780: Loss = 0.018130874261260033, lr = [0.0001] +[2024-05-20 21:42:24,020] - INFO: Epoch 369/9999, Iter 36800: Loss = 0.006900951731950045, lr = [0.0001] +[2024-05-20 21:42:38,704] - INFO: Epoch 369/9999, Iter 36820: Loss = 0.010690589435398579, lr = [0.0001] +[2024-05-20 21:42:53,466] - INFO: Epoch 369/9999, Iter 36840: Loss = 0.018928328529000282, lr = [0.0001] +[2024-05-20 21:43:08,225] - INFO: Epoch 369/9999, Iter 36860: Loss = 0.008534424938261509, lr = [0.0001] +[2024-05-20 21:43:22,932] - INFO: Epoch 369/9999, Iter 36880: Loss = 0.01544187031686306, lr = [0.0001] +[2024-05-20 21:43:38,912] - INFO: Epoch 370/9999, Iter 36900: Loss = 0.013137318193912506, lr = [0.0001] +[2024-05-20 21:43:53,767] - INFO: Epoch 370/9999, Iter 36920: Loss = 0.015725741162896156, lr = [0.0001] +[2024-05-20 21:44:08,510] - INFO: Epoch 370/9999, Iter 36940: Loss = 0.017833957448601723, lr = [0.0001] +[2024-05-20 21:44:23,117] - INFO: Epoch 370/9999, Iter 36960: Loss = 0.012811170890927315, lr = [0.0001] +[2024-05-20 21:44:37,903] - INFO: Epoch 370/9999, Iter 36980: Loss = 0.008980550803244114, lr = [0.0001] +[2024-05-20 21:44:52,254] - INFO: Evaluate at epoch 370! +[2024-05-20 21:44:58,086] - INFO: Eval PSNR (max): 37.752 (325) SSIM (max): 0.9598 (290) +[2024-05-20 21:44:58,086] - INFO: Eval PSNR (current): 37.560 (370) SSIM (current): 0.9582 (370) +[2024-05-20 21:44:58,086] - INFO: Evaluation over. +[2024-05-20 21:46:06,247] - INFO: Epoch 371/9999, Iter 37000: Loss = 0.011250965297222137, lr = [0.0001] +[2024-05-20 21:46:20,617] - INFO: Epoch 371/9999, Iter 37020: Loss = 0.014055871404707432, lr = [0.0001] +[2024-05-20 21:46:35,161] - INFO: Epoch 371/9999, Iter 37040: Loss = 0.011482298374176025, lr = [0.0001] +[2024-05-20 21:46:49,562] - INFO: Epoch 371/9999, Iter 37060: Loss = 0.016615763306617737, lr = [0.0001] +[2024-05-20 21:47:03,946] - INFO: Epoch 371/9999, Iter 37080: Loss = 0.013362787663936615, lr = [0.0001] +[2024-05-20 21:47:19,909] - INFO: Epoch 372/9999, Iter 37100: Loss = 0.01158543024212122, lr = [0.0001] +[2024-05-20 21:47:34,349] - INFO: Epoch 372/9999, Iter 37120: Loss = 0.015934893861413002, lr = [0.0001] +[2024-05-20 21:47:48,882] - INFO: Epoch 372/9999, Iter 37140: Loss = 0.016631033271551132, lr = [0.0001] +[2024-05-20 21:48:03,406] - INFO: Epoch 372/9999, Iter 37160: Loss = 0.010874677449464798, lr = [0.0001] +[2024-05-20 21:48:17,995] - INFO: Epoch 372/9999, Iter 37180: Loss = 0.00922129862010479, lr = [0.0001] +[2024-05-20 21:48:33,884] - INFO: Epoch 373/9999, Iter 37200: Loss = 0.011516480706632137, lr = [0.0001] +[2024-05-20 21:48:48,556] - INFO: Epoch 373/9999, Iter 37220: Loss = 0.013963178731501102, lr = [0.0001] +[2024-05-20 21:49:03,095] - INFO: Epoch 373/9999, Iter 37240: Loss = 0.00833375845104456, lr = [0.0001] +[2024-05-20 21:49:17,724] - INFO: Epoch 373/9999, Iter 37260: Loss = 0.021080760285258293, lr = [0.0001] +[2024-05-20 21:49:32,406] - INFO: Epoch 373/9999, Iter 37280: Loss = 0.020398074761033058, lr = [0.0001] +[2024-05-20 21:49:48,352] - INFO: Epoch 374/9999, Iter 37300: Loss = 0.01493985764682293, lr = [0.0001] +[2024-05-20 21:50:03,082] - INFO: Epoch 374/9999, Iter 37320: Loss = 0.01614326611161232, lr = [0.0001] +[2024-05-20 21:50:17,818] - INFO: Epoch 374/9999, Iter 37340: Loss = 0.020495781674981117, lr = [0.0001] +[2024-05-20 21:50:32,578] - INFO: Epoch 374/9999, Iter 37360: Loss = 0.01764601282775402, lr = [0.0001] +[2024-05-20 21:50:47,496] - INFO: Epoch 374/9999, Iter 37380: Loss = 0.013228477910161018, lr = [0.0001] +[2024-05-20 21:51:03,393] - INFO: Epoch 375/9999, Iter 37400: Loss = 0.01603071391582489, lr = [0.0001] +[2024-05-20 21:51:18,219] - INFO: Epoch 375/9999, Iter 37420: Loss = 0.014897441491484642, lr = [0.0001] +[2024-05-20 21:51:33,023] - INFO: Epoch 375/9999, Iter 37440: Loss = 0.007788463030010462, lr = [0.0001] +[2024-05-20 21:51:47,784] - INFO: Epoch 375/9999, Iter 37460: Loss = 0.016602184623479843, lr = [0.0001] +[2024-05-20 21:52:02,537] - INFO: Epoch 375/9999, Iter 37480: Loss = 0.011772055178880692, lr = [0.0001] +[2024-05-20 21:52:16,910] - INFO: Evaluate at epoch 375! +[2024-05-20 21:52:22,456] - INFO: Eval PSNR (max): 37.752 (325) SSIM (max): 0.9598 (290) +[2024-05-20 21:52:22,457] - INFO: Eval PSNR (current): 37.047 (375) SSIM (current): 0.9593 (375) +[2024-05-20 21:52:22,457] - INFO: Evaluation over. +[2024-05-20 21:53:34,788] - INFO: Epoch 376/9999, Iter 37500: Loss = 0.007906118407845497, lr = [0.0001] +[2024-05-20 21:53:49,393] - INFO: Epoch 376/9999, Iter 37520: Loss = 0.015129142440855503, lr = [0.0001] +[2024-05-20 21:54:03,855] - INFO: Epoch 376/9999, Iter 37540: Loss = 0.012148289941251278, lr = [0.0001] +[2024-05-20 21:54:18,214] - INFO: Epoch 376/9999, Iter 37560: Loss = 0.007499410305172205, lr = [0.0001] +[2024-05-20 21:54:32,600] - INFO: Epoch 376/9999, Iter 37580: Loss = 0.011326739564538002, lr = [0.0001] +[2024-05-20 21:54:48,716] - INFO: Epoch 377/9999, Iter 37600: Loss = 0.012210963293910027, lr = [0.0001] +[2024-05-20 21:55:03,462] - INFO: Epoch 377/9999, Iter 37620: Loss = 0.009989629499614239, lr = [0.0001] +[2024-05-20 21:55:18,036] - INFO: Epoch 377/9999, Iter 37640: Loss = 0.010668705217540264, lr = [0.0001] +[2024-05-20 21:55:32,585] - INFO: Epoch 377/9999, Iter 37660: Loss = 0.023097988218069077, lr = [0.0001] +[2024-05-20 21:55:47,088] - INFO: Epoch 377/9999, Iter 37680: Loss = 0.016429297626018524, lr = [0.0001] +[2024-05-20 21:56:02,877] - INFO: Epoch 378/9999, Iter 37700: Loss = 0.015319539234042168, lr = [0.0001] +[2024-05-20 21:56:17,584] - INFO: Epoch 378/9999, Iter 37720: Loss = 0.008624201640486717, lr = [0.0001] +[2024-05-20 21:56:32,184] - INFO: Epoch 378/9999, Iter 37740: Loss = 0.014038880355656147, lr = [0.0001] +[2024-05-20 21:56:46,668] - INFO: Epoch 378/9999, Iter 37760: Loss = 0.011513573117554188, lr = [0.0001] +[2024-05-20 21:57:01,291] - INFO: Epoch 378/9999, Iter 37780: Loss = 0.009686547331511974, lr = [0.0001] +[2024-05-20 21:57:17,101] - INFO: Epoch 379/9999, Iter 37800: Loss = 0.013961564749479294, lr = [0.0001] +[2024-05-20 21:57:31,692] - INFO: Epoch 379/9999, Iter 37820: Loss = 0.010837835259735584, lr = [0.0001] +[2024-05-20 21:57:46,372] - INFO: Epoch 379/9999, Iter 37840: Loss = 0.02206963486969471, lr = [0.0001] +[2024-05-20 21:58:00,973] - INFO: Epoch 379/9999, Iter 37860: Loss = 0.014388710260391235, lr = [0.0001] +[2024-05-20 21:58:15,548] - INFO: Epoch 379/9999, Iter 37880: Loss = 0.013749216683208942, lr = [0.0001] +[2024-05-20 21:58:31,618] - INFO: Epoch 380/9999, Iter 37900: Loss = 0.008211757987737656, lr = [0.0001] +[2024-05-20 21:58:46,366] - INFO: Epoch 380/9999, Iter 37920: Loss = 0.0079399598762393, lr = [0.0001] +[2024-05-20 21:59:01,018] - INFO: Epoch 380/9999, Iter 37940: Loss = 0.011910663917660713, lr = [0.0001] +[2024-05-20 21:59:15,712] - INFO: Epoch 380/9999, Iter 37960: Loss = 0.00752240139991045, lr = [0.0001] +[2024-05-20 21:59:30,396] - INFO: Epoch 380/9999, Iter 37980: Loss = 0.008869181387126446, lr = [0.0001] +[2024-05-20 21:59:44,712] - INFO: Evaluate at epoch 380! +[2024-05-20 21:59:49,809] - INFO: Eval PSNR (max): 37.752 (325) SSIM (max): 0.9598 (290) +[2024-05-20 21:59:49,809] - INFO: Eval PSNR (current): 37.346 (380) SSIM (current): 0.9596 (380) +[2024-05-20 21:59:49,809] - INFO: Evaluation over. +[2024-05-20 22:00:56,706] - INFO: Epoch 381/9999, Iter 38000: Loss = 0.01158895343542099, lr = [0.0001] +[2024-05-20 22:01:11,169] - INFO: Epoch 381/9999, Iter 38020: Loss = 0.011737208813428879, lr = [0.0001] +[2024-05-20 22:01:25,557] - INFO: Epoch 381/9999, Iter 38040: Loss = 0.009735696017742157, lr = [0.0001] +[2024-05-20 22:01:40,000] - INFO: Epoch 381/9999, Iter 38060: Loss = 0.013697546906769276, lr = [0.0001] +[2024-05-20 22:01:54,433] - INFO: Epoch 381/9999, Iter 38080: Loss = 0.013819652609527111, lr = [0.0001] +[2024-05-20 22:02:10,392] - INFO: Epoch 382/9999, Iter 38100: Loss = 0.011526476591825485, lr = [0.0001] +[2024-05-20 22:02:24,926] - INFO: Epoch 382/9999, Iter 38120: Loss = 0.017956949770450592, lr = [0.0001] +[2024-05-20 22:02:39,498] - INFO: Epoch 382/9999, Iter 38140: Loss = 0.012077650986611843, lr = [0.0001] +[2024-05-20 22:02:53,949] - INFO: Epoch 382/9999, Iter 38160: Loss = 0.012467816472053528, lr = [0.0001] +[2024-05-20 22:03:08,448] - INFO: Epoch 382/9999, Iter 38180: Loss = 0.02020435966551304, lr = [0.0001] +[2024-05-20 22:03:24,322] - INFO: Epoch 383/9999, Iter 38200: Loss = 0.015024739317595959, lr = [0.0001] +[2024-05-20 22:03:38,957] - INFO: Epoch 383/9999, Iter 38220: Loss = 0.009832612238824368, lr = [0.0001] +[2024-05-20 22:03:53,540] - INFO: Epoch 383/9999, Iter 38240: Loss = 0.01968611776828766, lr = [0.0001] +[2024-05-20 22:04:08,251] - INFO: Epoch 383/9999, Iter 38260: Loss = 0.010885230265557766, lr = [0.0001] +[2024-05-20 22:04:22,903] - INFO: Epoch 383/9999, Iter 38280: Loss = 0.027270132675766945, lr = [0.0001] +[2024-05-20 22:04:38,856] - INFO: Epoch 384/9999, Iter 38300: Loss = 0.009745053015649319, lr = [0.0001] +[2024-05-20 22:04:53,811] - INFO: Epoch 384/9999, Iter 38320: Loss = 0.006293884478509426, lr = [0.0001] +[2024-05-20 22:05:08,536] - INFO: Epoch 384/9999, Iter 38340: Loss = 0.01642521470785141, lr = [0.0001] +[2024-05-20 22:05:23,137] - INFO: Epoch 384/9999, Iter 38360: Loss = 0.008518236689269543, lr = [0.0001] +[2024-05-20 22:05:37,713] - INFO: Epoch 384/9999, Iter 38380: Loss = 0.012528651393949986, lr = [0.0001] +[2024-05-20 22:05:53,585] - INFO: Epoch 385/9999, Iter 38400: Loss = 0.008514194749295712, lr = [0.0001] +[2024-05-20 22:06:08,272] - INFO: Epoch 385/9999, Iter 38420: Loss = 0.01588069088757038, lr = [0.0001] +[2024-05-20 22:06:23,141] - INFO: Epoch 385/9999, Iter 38440: Loss = 0.022030653432011604, lr = [0.0001] +[2024-05-20 22:06:37,808] - INFO: Epoch 385/9999, Iter 38460: Loss = 0.01334343571215868, lr = [0.0001] +[2024-05-20 22:06:52,503] - INFO: Epoch 385/9999, Iter 38480: Loss = 0.012710576876997948, lr = [0.0001] +[2024-05-20 22:07:06,892] - INFO: Evaluate at epoch 385! +[2024-05-20 22:08:19,458] - INFO: Eval PSNR (max): 37.752 (325) SSIM (max): 0.9599 (385) +[2024-05-20 22:08:19,462] - INFO: Eval PSNR (current): 37.747 (385) SSIM (current): 0.9599 (385) +[2024-05-20 22:08:19,462] - INFO: Evaluation over. +[2024-05-20 22:09:29,092] - INFO: Epoch 386/9999, Iter 38500: Loss = 0.012944230809807777, lr = [0.0001] +[2024-05-20 22:09:43,291] - INFO: Epoch 386/9999, Iter 38520: Loss = 0.014367002062499523, lr = [0.0001] +[2024-05-20 22:09:57,520] - INFO: Epoch 386/9999, Iter 38540: Loss = 0.01800420694053173, lr = [0.0001] +[2024-05-20 22:10:11,951] - INFO: Epoch 386/9999, Iter 38560: Loss = 0.01789540983736515, lr = [0.0001] +[2024-05-20 22:10:26,252] - INFO: Epoch 386/9999, Iter 38580: Loss = 0.015871549025177956, lr = [0.0001] +[2024-05-20 22:10:41,904] - INFO: Epoch 387/9999, Iter 38600: Loss = 0.012856191955506802, lr = [0.0001] +[2024-05-20 22:10:56,289] - INFO: Epoch 387/9999, Iter 38620: Loss = 0.02340577356517315, lr = [0.0001] +[2024-05-20 22:11:10,617] - INFO: Epoch 387/9999, Iter 38640: Loss = 0.012443047016859055, lr = [0.0001] +[2024-05-20 22:11:25,037] - INFO: Epoch 387/9999, Iter 38660: Loss = 0.015334968455135822, lr = [0.0001] +[2024-05-20 22:11:39,714] - INFO: Epoch 387/9999, Iter 38680: Loss = 0.010224085301160812, lr = [0.0001] +[2024-05-20 22:11:55,552] - INFO: Epoch 388/9999, Iter 38700: Loss = 0.015366584993898869, lr = [0.0001] +[2024-05-20 22:12:10,051] - INFO: Epoch 388/9999, Iter 38720: Loss = 0.013901127502322197, lr = [0.0001] +[2024-05-20 22:12:24,566] - INFO: Epoch 388/9999, Iter 38740: Loss = 0.017400125041604042, lr = [0.0001] +[2024-05-20 22:12:39,185] - INFO: Epoch 388/9999, Iter 38760: Loss = 0.014770467765629292, lr = [0.0001] +[2024-05-20 22:12:53,768] - INFO: Epoch 388/9999, Iter 38780: Loss = 0.011195482686161995, lr = [0.0001] +[2024-05-20 22:13:09,758] - INFO: Epoch 389/9999, Iter 38800: Loss = 0.010737172327935696, lr = [0.0001] +[2024-05-20 22:13:24,396] - INFO: Epoch 389/9999, Iter 38820: Loss = 0.017303837463259697, lr = [0.0001] +[2024-05-20 22:13:39,058] - INFO: Epoch 389/9999, Iter 38840: Loss = 0.01591847836971283, lr = [0.0001] +[2024-05-20 22:13:53,725] - INFO: Epoch 389/9999, Iter 38860: Loss = 0.008224760182201862, lr = [0.0001] +[2024-05-20 22:14:08,299] - INFO: Epoch 389/9999, Iter 38880: Loss = 0.01441237423568964, lr = [0.0001] +[2024-05-20 22:14:24,388] - INFO: Epoch 390/9999, Iter 38900: Loss = 0.021434959024190903, lr = [0.0001] +[2024-05-20 22:14:39,106] - INFO: Epoch 390/9999, Iter 38920: Loss = 0.013550683856010437, lr = [0.0001] +[2024-05-20 22:14:53,708] - INFO: Epoch 390/9999, Iter 38940: Loss = 0.011135931126773357, lr = [0.0001] +[2024-05-20 22:15:08,956] - INFO: Epoch 390/9999, Iter 38960: Loss = 0.014078729785978794, lr = [0.0001] +[2024-05-20 22:15:23,665] - INFO: Epoch 390/9999, Iter 38980: Loss = 0.01229857187718153, lr = [0.0001] +[2024-05-20 22:15:38,037] - INFO: Evaluate at epoch 390! +[2024-05-20 22:15:43,172] - INFO: Eval PSNR (max): 37.752 (325) SSIM (max): 0.9599 (385) +[2024-05-20 22:15:43,172] - INFO: Eval PSNR (current): 37.700 (390) SSIM (current): 0.9599 (390) +[2024-05-20 22:15:43,172] - INFO: Evaluation over. +[2024-05-20 22:16:55,324] - INFO: Epoch 391/9999, Iter 39000: Loss = 0.011208013631403446, lr = [0.0001] +[2024-05-20 22:17:09,630] - INFO: Epoch 391/9999, Iter 39020: Loss = 0.00895454827696085, lr = [0.0001] +[2024-05-20 22:17:24,186] - INFO: Epoch 391/9999, Iter 39040: Loss = 0.020477984100580215, lr = [0.0001] +[2024-05-20 22:17:38,577] - INFO: Epoch 391/9999, Iter 39060: Loss = 0.018433375284075737, lr = [0.0001] +[2024-05-20 22:17:52,930] - INFO: Epoch 391/9999, Iter 39080: Loss = 0.012824184261262417, lr = [0.0001] +[2024-05-20 22:18:09,022] - INFO: Epoch 392/9999, Iter 39100: Loss = 0.016391191631555557, lr = [0.0001] +[2024-05-20 22:18:23,484] - INFO: Epoch 392/9999, Iter 39120: Loss = 0.009328527376055717, lr = [0.0001] +[2024-05-20 22:18:37,920] - INFO: Epoch 392/9999, Iter 39140: Loss = 0.01691974513232708, lr = [0.0001] +[2024-05-20 22:18:52,384] - INFO: Epoch 392/9999, Iter 39160: Loss = 0.013421609997749329, lr = [0.0001] +[2024-05-20 22:19:06,998] - INFO: Epoch 392/9999, Iter 39180: Loss = 0.010761559009552002, lr = [0.0001] +[2024-05-20 22:19:22,864] - INFO: Epoch 393/9999, Iter 39200: Loss = 0.017317727208137512, lr = [0.0001] +[2024-05-20 22:19:37,418] - INFO: Epoch 393/9999, Iter 39220: Loss = 0.017971346154808998, lr = [0.0001] +[2024-05-20 22:19:52,016] - INFO: Epoch 393/9999, Iter 39240: Loss = 0.01486020628362894, lr = [0.0001] +[2024-05-20 22:21:52,639] - INFO: Epoch 393/9999, Iter 39260: Loss = 0.008626041933894157, lr = [0.0001] +[2024-05-20 22:22:06,916] - INFO: Epoch 393/9999, Iter 39280: Loss = 0.00729689747095108, lr = [0.0001] +[2024-05-20 22:22:22,296] - INFO: Epoch 394/9999, Iter 39300: Loss = 0.01680203154683113, lr = [0.0001] +[2024-05-20 22:22:36,640] - INFO: Epoch 394/9999, Iter 39320: Loss = 0.010430770926177502, lr = [0.0001] +[2024-05-20 22:22:51,156] - INFO: Epoch 394/9999, Iter 39340: Loss = 0.014612974599003792, lr = [0.0001] +[2024-05-20 22:23:05,509] - INFO: Epoch 394/9999, Iter 39360: Loss = 0.01316882949322462, lr = [0.0001] +[2024-05-20 22:23:19,873] - INFO: Epoch 394/9999, Iter 39380: Loss = 0.01266663521528244, lr = [0.0001] +[2024-05-20 22:23:35,688] - INFO: Epoch 395/9999, Iter 39400: Loss = 0.01822037808597088, lr = [0.0001] +[2024-05-20 22:23:50,155] - INFO: Epoch 395/9999, Iter 39420: Loss = 0.00982673279941082, lr = [0.0001] +[2024-05-20 22:25:57,501] - INFO: Epoch 395/9999, Iter 39440: Loss = 0.01646558940410614, lr = [0.0001] +[2024-05-20 22:26:15,119] - INFO: Epoch 395/9999, Iter 39460: Loss = 0.01760941557586193, lr = [0.0001] +[2024-05-20 22:26:37,296] - INFO: Epoch 395/9999, Iter 39480: Loss = 0.006158280186355114, lr = [0.0001] +[2024-05-20 22:26:51,218] - INFO: Evaluate at epoch 395! +[2024-05-20 22:26:56,669] - INFO: Eval PSNR (max): 37.752 (325) SSIM (max): 0.9599 (385) +[2024-05-20 22:26:56,669] - INFO: Eval PSNR (current): 36.853 (395) SSIM (current): 0.9598 (395) +[2024-05-20 22:26:56,670] - INFO: Evaluation over. +[2024-05-20 22:28:06,658] - INFO: Epoch 396/9999, Iter 39500: Loss = 0.013895450159907341, lr = [0.0001] +[2024-05-20 22:28:20,870] - INFO: Epoch 396/9999, Iter 39520: Loss = 0.01912735588848591, lr = [0.0001] +[2024-05-20 22:28:35,292] - INFO: Epoch 396/9999, Iter 39540: Loss = 0.013978935778141022, lr = [0.0001] +[2024-05-20 22:29:28,301] - INFO: Epoch 396/9999, Iter 39560: Loss = 0.025689486414194107, lr = [0.0001] +[2024-05-20 22:29:43,028] - INFO: Epoch 396/9999, Iter 39580: Loss = 0.0131897097453475, lr = [0.0001] +[2024-05-20 22:29:58,620] - INFO: Epoch 397/9999, Iter 39600: Loss = 0.01038473192602396, lr = [0.0001] +[2024-05-20 22:30:12,957] - INFO: Epoch 397/9999, Iter 39620: Loss = 0.015102189965546131, lr = [0.0001] +[2024-05-20 22:30:27,200] - INFO: Epoch 397/9999, Iter 39640: Loss = 0.009334160014986992, lr = [0.0001] +[2024-05-20 22:30:41,561] - INFO: Epoch 397/9999, Iter 39660: Loss = 0.012277167290449142, lr = [0.0001] +[2024-05-20 22:30:55,958] - INFO: Epoch 397/9999, Iter 39680: Loss = 0.006721713114529848, lr = [0.0001] +[2024-05-20 22:31:11,471] - INFO: Epoch 398/9999, Iter 39700: Loss = 0.01725824736058712, lr = [0.0001] +[2024-05-20 22:31:26,204] - INFO: Epoch 398/9999, Iter 39720: Loss = 0.009057738818228245, lr = [0.0001] +[2024-05-20 22:31:40,664] - INFO: Epoch 398/9999, Iter 39740: Loss = 0.020272547379136086, lr = [0.0001] +[2024-05-20 22:31:55,188] - INFO: Epoch 398/9999, Iter 39760: Loss = 0.009747570380568504, lr = [0.0001] +[2024-05-20 22:32:09,684] - INFO: Epoch 398/9999, Iter 39780: Loss = 0.011184423230588436, lr = [0.0001] +[2024-05-20 22:32:25,459] - INFO: Epoch 399/9999, Iter 39800: Loss = 0.011194228194653988, lr = [0.0001] +[2024-05-20 22:32:39,996] - INFO: Epoch 399/9999, Iter 39820: Loss = 0.015049414709210396, lr = [0.0001] +[2024-05-20 22:32:54,656] - INFO: Epoch 399/9999, Iter 39840: Loss = 0.017354115843772888, lr = [0.0001] +[2024-05-20 22:33:09,242] - INFO: Epoch 399/9999, Iter 39860: Loss = 0.015405864454805851, lr = [0.0001] +[2024-05-20 22:33:23,823] - INFO: Epoch 399/9999, Iter 39880: Loss = 0.01013454794883728, lr = [0.0001] +[2024-05-20 22:33:39,531] - INFO: Epoch 400/9999, Iter 39900: Loss = 0.01564645953476429, lr = [0.0001] +[2024-05-20 22:33:54,189] - INFO: Epoch 400/9999, Iter 39920: Loss = 0.01312978845089674, lr = [0.0001] +[2024-05-20 22:34:08,786] - INFO: Epoch 400/9999, Iter 39940: Loss = 0.01176515594124794, lr = [0.0001] +[2024-05-20 22:34:23,460] - INFO: Epoch 400/9999, Iter 39960: Loss = 0.016965270042419434, lr = [0.0001] +[2024-05-20 22:34:38,124] - INFO: Epoch 400/9999, Iter 39980: Loss = 0.021840054541826248, lr = [0.0001] +[2024-05-20 22:34:52,490] - INFO: Evaluate at epoch 400! +[2024-05-20 22:36:03,837] - INFO: Eval PSNR (max): 37.752 (325) SSIM (max): 0.9601 (400) +[2024-05-20 22:36:03,838] - INFO: Eval PSNR (current): 36.870 (400) SSIM (current): 0.9601 (400) +[2024-05-20 22:36:03,838] - INFO: Evaluation over. +[2024-05-20 22:36:48,260] - INFO: Epoch 401/9999, Iter 40000: Loss = 0.014045631512999535, lr = [0.0001] +[2024-05-20 22:37:02,553] - INFO: Epoch 401/9999, Iter 40020: Loss = 0.0168492179363966, lr = [0.0001] +[2024-05-20 22:37:16,964] - INFO: Epoch 401/9999, Iter 40040: Loss = 0.013148033991456032, lr = [0.0001] +[2024-05-20 22:37:31,248] - INFO: Epoch 401/9999, Iter 40060: Loss = 0.019023176282644272, lr = [0.0001] +[2024-05-20 22:37:45,518] - INFO: Epoch 401/9999, Iter 40080: Loss = 0.011149514466524124, lr = [0.0001] +[2024-05-20 22:38:01,044] - INFO: Epoch 402/9999, Iter 40100: Loss = 0.01587359420955181, lr = [0.0001] +[2024-05-20 22:38:15,454] - INFO: Epoch 402/9999, Iter 40120: Loss = 0.02357202209532261, lr = [0.0001] +[2024-05-20 22:38:29,895] - INFO: Epoch 402/9999, Iter 40140: Loss = 0.017804404720664024, lr = [0.0001] +[2024-05-20 22:38:44,289] - INFO: Epoch 402/9999, Iter 40160: Loss = 0.01939823478460312, lr = [0.0001] +[2024-05-20 22:43:17,487] - INFO: Epoch 402/9999, Iter 40180: Loss = 0.011128109879791737, lr = [0.0001] +[2024-05-20 22:43:33,296] - INFO: Epoch 403/9999, Iter 40200: Loss = 0.01869495026767254, lr = [0.0001] +[2024-05-20 22:43:47,568] - INFO: Epoch 403/9999, Iter 40220: Loss = 0.010367150418460369, lr = [0.0001] +[2024-05-20 22:44:01,892] - INFO: Epoch 403/9999, Iter 40240: Loss = 0.014619715511798859, lr = [0.0001] +[2024-05-20 22:44:16,200] - INFO: Epoch 403/9999, Iter 40260: Loss = 0.01679457724094391, lr = [0.0001] +[2024-05-20 22:44:30,484] - INFO: Epoch 403/9999, Iter 40280: Loss = 0.014586398378014565, lr = [0.0001] +[2024-05-20 22:44:46,078] - INFO: Epoch 404/9999, Iter 40300: Loss = 0.026016445830464363, lr = [0.0001] +[2024-05-20 22:45:00,595] - INFO: Epoch 404/9999, Iter 40320: Loss = 0.016090793535113335, lr = [0.0001] +[2024-05-20 22:45:15,092] - INFO: Epoch 404/9999, Iter 40340: Loss = 0.010955016128718853, lr = [0.0001] +[2024-05-20 22:45:29,528] - INFO: Epoch 404/9999, Iter 40360: Loss = 0.012420487590134144, lr = [0.0001] +[2024-05-20 22:45:44,008] - INFO: Epoch 404/9999, Iter 40380: Loss = 0.015302373096346855, lr = [0.0001] +[2024-05-20 22:45:59,814] - INFO: Epoch 405/9999, Iter 40400: Loss = 0.010895377025008202, lr = [0.0001] +[2024-05-20 22:46:14,424] - INFO: Epoch 405/9999, Iter 40420: Loss = 0.014664003625512123, lr = [0.0001] +[2024-05-20 22:46:29,056] - INFO: Epoch 405/9999, Iter 40440: Loss = 0.008540459908545017, lr = [0.0001] +[2024-05-20 22:46:43,676] - INFO: Epoch 405/9999, Iter 40460: Loss = 0.009967027232050896, lr = [0.0001] +[2024-05-20 22:46:58,286] - INFO: Epoch 405/9999, Iter 40480: Loss = 0.010122566483914852, lr = [0.0001] +[2024-05-20 22:47:12,592] - INFO: Evaluate at epoch 405! +[2024-05-20 22:47:17,561] - INFO: Eval PSNR (max): 37.752 (325) SSIM (max): 0.9601 (400) +[2024-05-20 22:47:17,561] - INFO: Eval PSNR (current): 37.725 (405) SSIM (current): 0.9599 (405) +[2024-05-20 22:47:17,561] - INFO: Evaluation over. +[2024-05-20 22:48:20,748] - INFO: Epoch 406/9999, Iter 40500: Loss = 0.015506811439990997, lr = [0.0001] +[2024-05-20 22:48:35,124] - INFO: Epoch 406/9999, Iter 40520: Loss = 0.00820848997682333, lr = [0.0001] +[2024-05-20 22:48:49,486] - INFO: Epoch 406/9999, Iter 40540: Loss = 0.010039285756647587, lr = [0.0001] +[2024-05-20 22:49:03,849] - INFO: Epoch 406/9999, Iter 40560: Loss = 0.009472805075347424, lr = [0.0001] +[2024-05-20 22:49:18,223] - INFO: Epoch 406/9999, Iter 40580: Loss = 0.019366847351193428, lr = [0.0001] +[2024-05-20 22:49:34,200] - INFO: Epoch 407/9999, Iter 40600: Loss = 0.012675119563937187, lr = [0.0001] +[2024-05-20 22:49:48,817] - INFO: Epoch 407/9999, Iter 40620: Loss = 0.016764802858233452, lr = [0.0001] +[2024-05-20 22:50:03,416] - INFO: Epoch 407/9999, Iter 40640: Loss = 0.009504989720880985, lr = [0.0001] +[2024-05-20 22:50:17,861] - INFO: Epoch 407/9999, Iter 40660: Loss = 0.018863998353481293, lr = [0.0001] +[2024-05-20 22:50:32,456] - INFO: Epoch 407/9999, Iter 40680: Loss = 0.011266807094216347, lr = [0.0001] +[2024-05-20 22:50:48,247] - INFO: Epoch 408/9999, Iter 40700: Loss = 0.01457076147198677, lr = [0.0001] +[2024-05-20 22:51:02,820] - INFO: Epoch 408/9999, Iter 40720: Loss = 0.014153579249978065, lr = [0.0001] +[2024-05-20 22:51:17,480] - INFO: Epoch 408/9999, Iter 40740: Loss = 0.01682998798787594, lr = [0.0001] +[2024-05-20 22:51:32,077] - INFO: Epoch 408/9999, Iter 40760: Loss = 0.017434993758797646, lr = [0.0001] +[2024-05-20 22:51:46,736] - INFO: Epoch 408/9999, Iter 40780: Loss = 0.013812682591378689, lr = [0.0001] +[2024-05-20 22:52:03,072] - INFO: Epoch 409/9999, Iter 40800: Loss = 0.020840071141719818, lr = [0.0001] +[2024-05-20 22:52:17,890] - INFO: Epoch 409/9999, Iter 40820: Loss = 0.018619302660226822, lr = [0.0001] +[2024-05-20 22:52:32,630] - INFO: Epoch 409/9999, Iter 40840: Loss = 0.012701231054961681, lr = [0.0001] +[2024-05-20 22:52:47,264] - INFO: Epoch 409/9999, Iter 40860: Loss = 0.015563536435365677, lr = [0.0001] +[2024-05-20 22:53:01,945] - INFO: Epoch 409/9999, Iter 40880: Loss = 0.025610167533159256, lr = [0.0001] +[2024-05-20 22:53:17,984] - INFO: Epoch 410/9999, Iter 40900: Loss = 0.011893492192029953, lr = [0.0001] +[2024-05-20 22:53:32,790] - INFO: Epoch 410/9999, Iter 40920: Loss = 0.014512253925204277, lr = [0.0001] +[2024-05-20 22:53:47,463] - INFO: Epoch 410/9999, Iter 40940: Loss = 0.012391211465001106, lr = [0.0001] +[2024-05-20 22:54:02,166] - INFO: Epoch 410/9999, Iter 40960: Loss = 0.01922553777694702, lr = [0.0001] +[2024-05-20 22:54:16,843] - INFO: Epoch 410/9999, Iter 40980: Loss = 0.020707527175545692, lr = [0.0001] +[2024-05-20 22:54:31,175] - INFO: Evaluate at epoch 410! +[2024-05-20 22:54:36,066] - INFO: Eval PSNR (max): 37.752 (325) SSIM (max): 0.9601 (400) +[2024-05-20 22:54:36,066] - INFO: Eval PSNR (current): 36.798 (410) SSIM (current): 0.9596 (410) +[2024-05-20 22:54:36,066] - INFO: Evaluation over. +[2024-05-20 22:55:22,076] - INFO: Epoch 411/9999, Iter 41000: Loss = 0.016877615824341774, lr = [0.0001] +[2024-05-20 22:55:36,474] - INFO: Epoch 411/9999, Iter 41020: Loss = 0.0091622369363904, lr = [0.0001] +[2024-05-20 22:55:50,921] - INFO: Epoch 411/9999, Iter 41040: Loss = 0.014781777746975422, lr = [0.0001] +[2024-05-20 22:56:05,369] - INFO: Epoch 411/9999, Iter 41060: Loss = 0.016381192952394485, lr = [0.0001] +[2024-05-20 22:56:19,842] - INFO: Epoch 411/9999, Iter 41080: Loss = 0.021396765485405922, lr = [0.0001] +[2024-05-20 22:56:35,484] - INFO: Epoch 412/9999, Iter 41100: Loss = 0.01647689752280712, lr = [0.0001] +[2024-05-20 22:56:50,048] - INFO: Epoch 412/9999, Iter 41120: Loss = 0.012443901970982552, lr = [0.0001] +[2024-05-20 22:57:04,559] - INFO: Epoch 412/9999, Iter 41140: Loss = 0.01846245862543583, lr = [0.0001] +[2024-05-20 22:57:19,084] - INFO: Epoch 412/9999, Iter 41160: Loss = 0.013423160649836063, lr = [0.0001] +[2024-05-20 22:57:33,765] - INFO: Epoch 412/9999, Iter 41180: Loss = 0.016002995893359184, lr = [0.0001] +[2024-05-20 22:57:49,694] - INFO: Epoch 413/9999, Iter 41200: Loss = 0.029784318059682846, lr = [0.0001] +[2024-05-20 22:58:04,388] - INFO: Epoch 413/9999, Iter 41220: Loss = 0.012302654795348644, lr = [0.0001] +[2024-05-20 22:58:19,077] - INFO: Epoch 413/9999, Iter 41240: Loss = 0.023173082619905472, lr = [0.0001] +[2024-05-20 22:58:33,814] - INFO: Epoch 413/9999, Iter 41260: Loss = 0.016872161999344826, lr = [0.0001] +[2024-05-20 22:58:48,413] - INFO: Epoch 413/9999, Iter 41280: Loss = 0.012175596319139004, lr = [0.0001] +[2024-05-20 22:59:04,145] - INFO: Epoch 414/9999, Iter 41300: Loss = 0.017219511792063713, lr = [0.0001] +[2024-05-20 22:59:18,944] - INFO: Epoch 414/9999, Iter 41320: Loss = 0.01832614094018936, lr = [0.0001] +[2024-05-20 22:59:33,680] - INFO: Epoch 414/9999, Iter 41340: Loss = 0.024436257779598236, lr = [0.0001] +[2024-05-20 22:59:48,334] - INFO: Epoch 414/9999, Iter 41360: Loss = 0.005972983781248331, lr = [0.0001] +[2024-05-20 23:00:02,989] - INFO: Epoch 414/9999, Iter 41380: Loss = 0.012927978299558163, lr = [0.0001] +[2024-05-20 23:00:19,269] - INFO: Epoch 415/9999, Iter 41400: Loss = 0.01274775993078947, lr = [0.0001] +[2024-05-20 23:00:34,094] - INFO: Epoch 415/9999, Iter 41420: Loss = 0.016486134380102158, lr = [0.0001] +[2024-05-20 23:00:48,972] - INFO: Epoch 415/9999, Iter 41440: Loss = 0.008186026476323605, lr = [0.0001] +[2024-05-20 23:01:03,777] - INFO: Epoch 415/9999, Iter 41460: Loss = 0.009430558420717716, lr = [0.0001] +[2024-05-20 23:01:18,560] - INFO: Epoch 415/9999, Iter 41480: Loss = 0.008997755125164986, lr = [0.0001] +[2024-05-20 23:01:33,000] - INFO: Evaluate at epoch 415! +[2024-05-20 23:01:38,050] - INFO: Eval PSNR (max): 37.752 (325) SSIM (max): 0.9601 (400) +[2024-05-20 23:01:38,051] - INFO: Eval PSNR (current): 37.700 (415) SSIM (current): 0.9599 (415) +[2024-05-20 23:01:38,051] - INFO: Evaluation over. +[2024-05-20 23:02:22,530] - INFO: Epoch 416/9999, Iter 41500: Loss = 0.019323769956827164, lr = [0.0001] +[2024-05-20 23:02:37,052] - INFO: Epoch 416/9999, Iter 41520: Loss = 0.008937187492847443, lr = [0.0001] +[2024-05-20 23:02:51,469] - INFO: Epoch 416/9999, Iter 41540: Loss = 0.012256891466677189, lr = [0.0001] +[2024-05-20 23:03:06,056] - INFO: Epoch 416/9999, Iter 41560: Loss = 0.012814520858228207, lr = [0.0001] +[2024-05-20 23:03:20,529] - INFO: Epoch 416/9999, Iter 41580: Loss = 0.015160375274717808, lr = [0.0001] +[2024-05-20 23:03:36,341] - INFO: Epoch 417/9999, Iter 41600: Loss = 0.008913320489227772, lr = [0.0001] +[2024-05-20 23:03:50,924] - INFO: Epoch 417/9999, Iter 41620: Loss = 0.016029801219701767, lr = [0.0001] +[2024-05-20 23:04:05,472] - INFO: Epoch 417/9999, Iter 41640: Loss = 0.01541358232498169, lr = [0.0001] +[2024-05-20 23:04:20,060] - INFO: Epoch 417/9999, Iter 41660: Loss = 0.013881025835871696, lr = [0.0001] +[2024-05-20 23:04:34,597] - INFO: Epoch 417/9999, Iter 41680: Loss = 0.018831906840205193, lr = [0.0001] +[2024-05-20 23:04:50,630] - INFO: Epoch 418/9999, Iter 41700: Loss = 0.020753461867570877, lr = [0.0001] +[2024-05-20 23:05:05,441] - INFO: Epoch 418/9999, Iter 41720: Loss = 0.026522791013121605, lr = [0.0001] +[2024-05-20 23:05:20,126] - INFO: Epoch 418/9999, Iter 41740: Loss = 0.008118484169244766, lr = [0.0001] +[2024-05-20 23:05:34,839] - INFO: Epoch 418/9999, Iter 41760: Loss = 0.02006598375737667, lr = [0.0001] +[2024-05-20 23:05:49,503] - INFO: Epoch 418/9999, Iter 41780: Loss = 0.009258943609893322, lr = [0.0001] +[2024-05-20 23:06:05,552] - INFO: Epoch 419/9999, Iter 41800: Loss = 0.010809075087308884, lr = [0.0001] +[2024-05-20 23:06:20,410] - INFO: Epoch 419/9999, Iter 41820: Loss = 0.008021863177418709, lr = [0.0001] +[2024-05-20 23:06:35,084] - INFO: Epoch 419/9999, Iter 41840: Loss = 0.01698490045964718, lr = [0.0001] +[2024-05-20 23:06:49,714] - INFO: Epoch 419/9999, Iter 41860: Loss = 0.01215079240500927, lr = [0.0001] +[2024-05-20 23:07:04,412] - INFO: Epoch 419/9999, Iter 41880: Loss = 0.009659423492848873, lr = [0.0001] +[2024-05-20 23:07:20,173] - INFO: Epoch 420/9999, Iter 41900: Loss = 0.009453708305954933, lr = [0.0001] +[2024-05-20 23:07:34,833] - INFO: Epoch 420/9999, Iter 41920: Loss = 0.022494206205010414, lr = [0.0001] +[2024-05-20 23:07:49,568] - INFO: Epoch 420/9999, Iter 41940: Loss = 0.030519092455506325, lr = [0.0001] +[2024-05-20 23:08:04,269] - INFO: Epoch 420/9999, Iter 41960: Loss = 0.023422762751579285, lr = [0.0001] +[2024-05-20 23:08:19,135] - INFO: Epoch 420/9999, Iter 41980: Loss = 0.014760542660951614, lr = [0.0001] +[2024-05-20 23:08:33,581] - INFO: Evaluate at epoch 420! +[2024-05-20 23:08:38,993] - INFO: Eval PSNR (max): 37.752 (325) SSIM (max): 0.9601 (400) +[2024-05-20 23:08:38,994] - INFO: Eval PSNR (current): 37.616 (420) SSIM (current): 0.9596 (420) +[2024-05-20 23:08:38,994] - INFO: Evaluation over. +[2024-05-20 23:09:23,699] - INFO: Epoch 421/9999, Iter 42000: Loss = 0.010956567712128162, lr = [0.0001] +[2024-05-20 23:09:38,156] - INFO: Epoch 421/9999, Iter 42020: Loss = 0.013792197220027447, lr = [0.0001] +[2024-05-20 23:09:52,651] - INFO: Epoch 421/9999, Iter 42040: Loss = 0.015285287983715534, lr = [0.0001] +[2024-05-20 23:10:07,083] - INFO: Epoch 421/9999, Iter 42060: Loss = 0.011394072324037552, lr = [0.0001] +[2024-05-20 23:10:21,761] - INFO: Epoch 421/9999, Iter 42080: Loss = 0.015481151640415192, lr = [0.0001] +[2024-05-20 23:10:37,640] - INFO: Epoch 422/9999, Iter 42100: Loss = 0.010947410017251968, lr = [0.0001] +[2024-05-20 23:10:52,246] - INFO: Epoch 422/9999, Iter 42120: Loss = 0.019345052540302277, lr = [0.0001] +[2024-05-20 23:11:06,803] - INFO: Epoch 422/9999, Iter 42140: Loss = 0.013391643762588501, lr = [0.0001] +[2024-05-20 23:11:21,320] - INFO: Epoch 422/9999, Iter 42160: Loss = 0.013306163251399994, lr = [0.0001] +[2024-05-20 23:11:35,945] - INFO: Epoch 422/9999, Iter 42180: Loss = 0.012403344735503197, lr = [0.0001] +[2024-05-20 23:11:51,805] - INFO: Epoch 423/9999, Iter 42200: Loss = 0.013167176395654678, lr = [0.0001] +[2024-05-20 23:12:06,442] - INFO: Epoch 423/9999, Iter 42220: Loss = 0.014959471300244331, lr = [0.0001] +[2024-05-20 23:12:21,056] - INFO: Epoch 423/9999, Iter 42240: Loss = 0.010817406699061394, lr = [0.0001] +[2024-05-20 23:13:22,208] - INFO: Epoch 423/9999, Iter 42260: Loss = 0.02001863904297352, lr = [0.0001] +[2024-05-20 23:13:36,586] - INFO: Epoch 423/9999, Iter 42280: Loss = 0.014574610628187656, lr = [0.0001] +[2024-05-20 23:13:52,320] - INFO: Epoch 424/9999, Iter 42300: Loss = 0.011162305250763893, lr = [0.0001] +[2024-05-20 23:14:06,794] - INFO: Epoch 424/9999, Iter 42320: Loss = 0.01582208462059498, lr = [0.0001] +[2024-05-20 23:14:21,272] - INFO: Epoch 424/9999, Iter 42340: Loss = 0.01890178583562374, lr = [0.0001] +[2024-05-20 23:14:35,766] - INFO: Epoch 424/9999, Iter 42360: Loss = 0.011847606860101223, lr = [0.0001] +[2024-05-20 23:14:50,311] - INFO: Epoch 424/9999, Iter 42380: Loss = 0.013055023737251759, lr = [0.0001] +[2024-05-20 23:15:05,942] - INFO: Epoch 425/9999, Iter 42400: Loss = 0.010916924104094505, lr = [0.0001] +[2024-05-20 23:15:40,539] - INFO: Epoch 425/9999, Iter 42420: Loss = 0.007909047417342663, lr = [0.0001] +[2024-05-20 23:15:54,973] - INFO: Epoch 425/9999, Iter 42440: Loss = 0.009989398531615734, lr = [0.0001] +[2024-05-20 23:16:09,418] - INFO: Epoch 425/9999, Iter 42460: Loss = 0.01743270829319954, lr = [0.0001] +[2024-05-20 23:16:23,888] - INFO: Epoch 425/9999, Iter 42480: Loss = 0.015272650867700577, lr = [0.0001] +[2024-05-20 23:16:38,035] - INFO: Evaluate at epoch 425! +[2024-05-20 23:16:43,669] - INFO: Eval PSNR (max): 37.752 (325) SSIM (max): 0.9601 (400) +[2024-05-20 23:16:43,669] - INFO: Eval PSNR (current): 37.453 (425) SSIM (current): 0.9596 (425) +[2024-05-20 23:16:43,669] - INFO: Evaluation over. +[2024-05-20 23:18:31,135] - INFO: Epoch 426/9999, Iter 42500: Loss = 0.010163629427552223, lr = [0.0001] +[2024-05-20 23:18:45,344] - INFO: Epoch 426/9999, Iter 42520: Loss = 0.010220340453088284, lr = [0.0001] +[2024-05-20 23:18:59,725] - INFO: Epoch 426/9999, Iter 42540: Loss = 0.014446068555116653, lr = [0.0001] +[2024-05-20 23:19:14,084] - INFO: Epoch 426/9999, Iter 42560: Loss = 0.01441797986626625, lr = [0.0001] +[2024-05-20 23:20:13,928] - INFO: Epoch 426/9999, Iter 42580: Loss = 0.01544525008648634, lr = [0.0001] +[2024-05-20 23:20:29,412] - INFO: Epoch 427/9999, Iter 42600: Loss = 0.0171090979129076, lr = [0.0001] +[2024-05-20 23:20:44,020] - INFO: Epoch 427/9999, Iter 42620: Loss = 0.012904809787869453, lr = [0.0001] +[2024-05-20 23:20:58,447] - INFO: Epoch 427/9999, Iter 42640: Loss = 0.016092879697680473, lr = [0.0001] +[2024-05-20 23:21:12,862] - INFO: Epoch 427/9999, Iter 42660: Loss = 0.013615363277494907, lr = [0.0001] +[2024-05-20 23:21:27,271] - INFO: Epoch 427/9999, Iter 42680: Loss = 0.011925225146114826, lr = [0.0001] +[2024-05-20 23:21:43,167] - INFO: Epoch 428/9999, Iter 42700: Loss = 0.009135237894952297, lr = [0.0001] +[2024-05-20 23:21:57,688] - INFO: Epoch 428/9999, Iter 42720: Loss = 0.010797763243317604, lr = [0.0001] +[2024-05-20 23:22:12,132] - INFO: Epoch 428/9999, Iter 42740: Loss = 0.02798921801149845, lr = [0.0001] +[2024-05-20 23:22:26,676] - INFO: Epoch 428/9999, Iter 42760: Loss = 0.017586765810847282, lr = [0.0001] +[2024-05-20 23:22:41,412] - INFO: Epoch 428/9999, Iter 42780: Loss = 0.01528505515307188, lr = [0.0001] +[2024-05-20 23:22:58,106] - INFO: Epoch 429/9999, Iter 42800: Loss = 0.012732351198792458, lr = [0.0001] +[2024-05-20 23:23:14,385] - INFO: Epoch 429/9999, Iter 42820: Loss = 0.01008797436952591, lr = [0.0001] +[2024-05-20 23:24:33,098] - INFO: Epoch 429/9999, Iter 42840: Loss = 0.01600467599928379, lr = [0.0001] +[2024-05-20 23:24:47,536] - INFO: Epoch 429/9999, Iter 42860: Loss = 0.013957182876765728, lr = [0.0001] +[2024-05-20 23:25:01,944] - INFO: Epoch 429/9999, Iter 42880: Loss = 0.013190974481403828, lr = [0.0001] +[2024-05-20 23:25:17,606] - INFO: Epoch 430/9999, Iter 42900: Loss = 0.008200493641197681, lr = [0.0001] +[2024-05-20 23:25:32,060] - INFO: Epoch 430/9999, Iter 42920: Loss = 0.014619997702538967, lr = [0.0001] +[2024-05-20 23:25:46,528] - INFO: Epoch 430/9999, Iter 42940: Loss = 0.00823721382766962, lr = [0.0001] +[2024-05-20 23:26:00,985] - INFO: Epoch 430/9999, Iter 42960: Loss = 0.011210394091904163, lr = [0.0001] +[2024-05-20 23:26:15,469] - INFO: Epoch 430/9999, Iter 42980: Loss = 0.018290827050805092, lr = [0.0001] +[2024-05-20 23:26:29,647] - INFO: Evaluate at epoch 430! +[2024-05-20 23:26:34,653] - INFO: Eval PSNR (max): 37.752 (325) SSIM (max): 0.9601 (400) +[2024-05-20 23:26:34,653] - INFO: Eval PSNR (current): 37.719 (430) SSIM (current): 0.9599 (430) +[2024-05-20 23:26:34,653] - INFO: Evaluation over. +[2024-05-20 23:27:43,412] - INFO: Epoch 431/9999, Iter 43000: Loss = 0.018010213971138, lr = [0.0001] +[2024-05-20 23:27:57,772] - INFO: Epoch 431/9999, Iter 43020: Loss = 0.009437806904315948, lr = [0.0001] +[2024-05-20 23:28:12,052] - INFO: Epoch 431/9999, Iter 43040: Loss = 0.012666446156799793, lr = [0.0001] +[2024-05-20 23:28:26,488] - INFO: Epoch 431/9999, Iter 43060: Loss = 0.01171847153455019, lr = [0.0001] +[2024-05-20 23:28:40,801] - INFO: Epoch 431/9999, Iter 43080: Loss = 0.013611344620585442, lr = [0.0001] +[2024-05-20 23:28:56,632] - INFO: Epoch 432/9999, Iter 43100: Loss = 0.009158294647932053, lr = [0.0001] +[2024-05-20 23:29:11,211] - INFO: Epoch 432/9999, Iter 43120: Loss = 0.012389956042170525, lr = [0.0001] +[2024-05-20 23:29:25,638] - INFO: Epoch 432/9999, Iter 43140: Loss = 0.01180124282836914, lr = [0.0001] +[2024-05-20 23:29:40,131] - INFO: Epoch 432/9999, Iter 43160: Loss = 0.016753436997532845, lr = [0.0001] +[2024-05-20 23:29:54,690] - INFO: Epoch 432/9999, Iter 43180: Loss = 0.01946363039314747, lr = [0.0001] +[2024-05-20 23:30:10,308] - INFO: Epoch 433/9999, Iter 43200: Loss = 0.028065409511327744, lr = [0.0001] +[2024-05-20 23:30:24,946] - INFO: Epoch 433/9999, Iter 43220: Loss = 0.00937974639236927, lr = [0.0001] +[2024-05-20 23:30:39,550] - INFO: Epoch 433/9999, Iter 43240: Loss = 0.010913967154920101, lr = [0.0001] +[2024-05-20 23:30:54,329] - INFO: Epoch 433/9999, Iter 43260: Loss = 0.0197477787733078, lr = [0.0001] +[2024-05-20 23:31:08,852] - INFO: Epoch 433/9999, Iter 43280: Loss = 0.007549112197011709, lr = [0.0001] +[2024-05-20 23:31:24,790] - INFO: Epoch 434/9999, Iter 43300: Loss = 0.01217496208846569, lr = [0.0001] +[2024-05-20 23:31:39,450] - INFO: Epoch 434/9999, Iter 43320: Loss = 0.01585618034005165, lr = [0.0001] +[2024-05-20 23:31:54,085] - INFO: Epoch 434/9999, Iter 43340: Loss = 0.009495009668171406, lr = [0.0001] +[2024-05-20 23:32:08,621] - INFO: Epoch 434/9999, Iter 43360: Loss = 0.014874659478664398, lr = [0.0001] +[2024-05-20 23:32:23,179] - INFO: Epoch 434/9999, Iter 43380: Loss = 0.008976017124950886, lr = [0.0001] +[2024-05-20 23:32:38,910] - INFO: Epoch 435/9999, Iter 43400: Loss = 0.010660803876817226, lr = [0.0001] +[2024-05-20 23:32:53,762] - INFO: Epoch 435/9999, Iter 43420: Loss = 0.010763301514089108, lr = [0.0001] +[2024-05-20 23:33:08,424] - INFO: Epoch 435/9999, Iter 43440: Loss = 0.015696896240115166, lr = [0.0001] +[2024-05-20 23:33:23,147] - INFO: Epoch 435/9999, Iter 43460: Loss = 0.014270068146288395, lr = [0.0001] +[2024-05-20 23:33:37,875] - INFO: Epoch 435/9999, Iter 43480: Loss = 0.01660153828561306, lr = [0.0001] +[2024-05-20 23:33:52,219] - INFO: Evaluate at epoch 435! +[2024-05-20 23:33:57,475] - INFO: Eval PSNR (max): 37.752 (325) SSIM (max): 0.9601 (400) +[2024-05-20 23:33:57,475] - INFO: Eval PSNR (current): 37.724 (435) SSIM (current): 0.9599 (435) +[2024-05-20 23:33:57,475] - INFO: Evaluation over. +[2024-05-20 23:35:05,356] - INFO: Epoch 436/9999, Iter 43500: Loss = 0.01144516933709383, lr = [0.0001] +[2024-05-20 23:35:19,745] - INFO: Epoch 436/9999, Iter 43520: Loss = 0.015889305621385574, lr = [0.0001] +[2024-05-20 23:35:34,147] - INFO: Epoch 436/9999, Iter 43540: Loss = 0.014073331840336323, lr = [0.0001] +[2024-05-20 23:35:48,632] - INFO: Epoch 436/9999, Iter 43560: Loss = 0.011531882919371128, lr = [0.0001] +[2024-05-20 23:36:03,040] - INFO: Epoch 436/9999, Iter 43580: Loss = 0.00933900848031044, lr = [0.0001] +[2024-05-20 23:36:18,683] - INFO: Epoch 437/9999, Iter 43600: Loss = 0.013780403882265091, lr = [0.0001] +[2024-05-20 23:36:33,239] - INFO: Epoch 437/9999, Iter 43620: Loss = 0.017513025552034378, lr = [0.0001] +[2024-05-20 23:36:47,743] - INFO: Epoch 437/9999, Iter 43640: Loss = 0.01143503375351429, lr = [0.0001] +[2024-05-20 23:37:02,296] - INFO: Epoch 437/9999, Iter 43660: Loss = 0.013245225884020329, lr = [0.0001] +[2024-05-20 23:37:16,937] - INFO: Epoch 437/9999, Iter 43680: Loss = 0.017490150406956673, lr = [0.0001] +[2024-05-20 23:37:32,871] - INFO: Epoch 438/9999, Iter 43700: Loss = 0.008348084054887295, lr = [0.0001] +[2024-05-20 23:37:47,556] - INFO: Epoch 438/9999, Iter 43720: Loss = 0.012285140343010426, lr = [0.0001] +[2024-05-20 23:38:02,160] - INFO: Epoch 438/9999, Iter 43740: Loss = 0.011970862746238708, lr = [0.0001] +[2024-05-20 23:38:16,832] - INFO: Epoch 438/9999, Iter 43760: Loss = 0.02011554315686226, lr = [0.0001] +[2024-05-20 23:38:31,563] - INFO: Epoch 438/9999, Iter 43780: Loss = 0.008329329080879688, lr = [0.0001] +[2024-05-20 23:38:47,497] - INFO: Epoch 439/9999, Iter 43800: Loss = 0.016953537240624428, lr = [0.0001] +[2024-05-20 23:39:02,184] - INFO: Epoch 439/9999, Iter 43820: Loss = 0.008346057496964931, lr = [0.0001] +[2024-05-20 23:39:16,952] - INFO: Epoch 439/9999, Iter 43840: Loss = 0.022363541647791862, lr = [0.0001] +[2024-05-20 23:39:31,680] - INFO: Epoch 439/9999, Iter 43860: Loss = 0.01340184360742569, lr = [0.0001] +[2024-05-20 23:39:46,359] - INFO: Epoch 439/9999, Iter 43880: Loss = 0.017465706914663315, lr = [0.0001] +[2024-05-20 23:40:02,505] - INFO: Epoch 440/9999, Iter 43900: Loss = 0.009996408596634865, lr = [0.0001] +[2024-05-20 23:40:17,372] - INFO: Epoch 440/9999, Iter 43920: Loss = 0.01141540426760912, lr = [0.0001] +[2024-05-20 23:40:32,129] - INFO: Epoch 440/9999, Iter 43940: Loss = 0.018214073032140732, lr = [0.0001] +[2024-05-20 23:40:46,885] - INFO: Epoch 440/9999, Iter 43960: Loss = 0.01571897603571415, lr = [0.0001] +[2024-05-20 23:41:01,703] - INFO: Epoch 440/9999, Iter 43980: Loss = 0.008456172421574593, lr = [0.0001] +[2024-05-20 23:41:16,201] - INFO: Evaluate at epoch 440! +[2024-05-20 23:41:22,067] - INFO: Eval PSNR (max): 37.752 (325) SSIM (max): 0.9601 (400) +[2024-05-20 23:41:22,067] - INFO: Eval PSNR (current): 37.653 (440) SSIM (current): 0.9597 (440) +[2024-05-20 23:41:22,067] - INFO: Evaluation over. +[2024-05-20 23:42:33,671] - INFO: Epoch 441/9999, Iter 44000: Loss = 0.017616698518395424, lr = [0.0001] +[2024-05-20 23:42:48,107] - INFO: Epoch 441/9999, Iter 44020: Loss = 0.023493340238928795, lr = [0.0001] +[2024-05-20 23:43:02,544] - INFO: Epoch 441/9999, Iter 44040: Loss = 0.020028766244649887, lr = [0.0001] +[2024-05-20 23:43:16,920] - INFO: Epoch 441/9999, Iter 44060: Loss = 0.014839434996247292, lr = [0.0001] +[2024-05-20 23:43:31,339] - INFO: Epoch 441/9999, Iter 44080: Loss = 0.010007251054048538, lr = [0.0001] +[2024-05-20 23:43:47,109] - INFO: Epoch 442/9999, Iter 44100: Loss = 0.015008319169282913, lr = [0.0001] +[2024-05-20 23:44:01,586] - INFO: Epoch 442/9999, Iter 44120: Loss = 0.01393410935997963, lr = [0.0001] +[2024-05-20 23:44:16,091] - INFO: Epoch 442/9999, Iter 44140: Loss = 0.006587356328964233, lr = [0.0001] +[2024-05-20 23:44:30,538] - INFO: Epoch 442/9999, Iter 44160: Loss = 0.019886288791894913, lr = [0.0001] +[2024-05-20 23:44:45,104] - INFO: Epoch 442/9999, Iter 44180: Loss = 0.012910149060189724, lr = [0.0001] +[2024-05-20 23:45:00,978] - INFO: Epoch 443/9999, Iter 44200: Loss = 0.015357483178377151, lr = [0.0001] +[2024-05-20 23:45:15,641] - INFO: Epoch 443/9999, Iter 44220: Loss = 0.01669752039015293, lr = [0.0001] +[2024-05-20 23:45:30,327] - INFO: Epoch 443/9999, Iter 44240: Loss = 0.02786272205412388, lr = [0.0001] +[2024-05-20 23:45:45,020] - INFO: Epoch 443/9999, Iter 44260: Loss = 0.013585406355559826, lr = [0.0001] +[2024-05-20 23:45:59,808] - INFO: Epoch 443/9999, Iter 44280: Loss = 0.014253382571041584, lr = [0.0001] +[2024-05-20 23:46:15,629] - INFO: Epoch 444/9999, Iter 44300: Loss = 0.015934649854898453, lr = [0.0001] +[2024-05-20 23:46:30,267] - INFO: Epoch 444/9999, Iter 44320: Loss = 0.011394006200134754, lr = [0.0001] +[2024-05-20 23:46:44,959] - INFO: Epoch 444/9999, Iter 44340: Loss = 0.015755189582705498, lr = [0.0001] +[2024-05-20 23:46:59,683] - INFO: Epoch 444/9999, Iter 44360: Loss = 0.005513610318303108, lr = [0.0001] +[2024-05-20 23:47:14,383] - INFO: Epoch 444/9999, Iter 44380: Loss = 0.01488583441823721, lr = [0.0001] +[2024-05-20 23:47:30,591] - INFO: Epoch 445/9999, Iter 44400: Loss = 0.011109736748039722, lr = [0.0001] +[2024-05-20 23:47:45,374] - INFO: Epoch 445/9999, Iter 44420: Loss = 0.01465753372758627, lr = [0.0001] +[2024-05-20 23:48:00,223] - INFO: Epoch 445/9999, Iter 44440: Loss = 0.019329769536852837, lr = [0.0001] +[2024-05-20 23:48:15,020] - INFO: Epoch 445/9999, Iter 44460: Loss = 0.018044568598270416, lr = [0.0001] +[2024-05-20 23:48:29,751] - INFO: Epoch 445/9999, Iter 44480: Loss = 0.011940366588532925, lr = [0.0001] +[2024-05-20 23:48:44,250] - INFO: Evaluate at epoch 445! +[2024-05-20 23:48:49,637] - INFO: Eval PSNR (max): 37.752 (325) SSIM (max): 0.9601 (400) +[2024-05-20 23:48:49,637] - INFO: Eval PSNR (current): 37.310 (445) SSIM (current): 0.9597 (445) +[2024-05-20 23:48:49,637] - INFO: Evaluation over. +[2024-05-20 23:49:56,200] - INFO: Epoch 446/9999, Iter 44500: Loss = 0.02250213921070099, lr = [0.0001] +[2024-05-20 23:50:10,756] - INFO: Epoch 446/9999, Iter 44520: Loss = 0.010706337168812752, lr = [0.0001] +[2024-05-20 23:50:25,254] - INFO: Epoch 446/9999, Iter 44540: Loss = 0.021840453147888184, lr = [0.0001] +[2024-05-20 23:50:39,658] - INFO: Epoch 446/9999, Iter 44560: Loss = 0.016163205727934837, lr = [0.0001] +[2024-05-20 23:50:54,160] - INFO: Epoch 446/9999, Iter 44580: Loss = 0.013814741745591164, lr = [0.0001] +[2024-05-20 23:51:10,109] - INFO: Epoch 447/9999, Iter 44600: Loss = 0.01700877957046032, lr = [0.0001] +[2024-05-20 23:51:24,680] - INFO: Epoch 447/9999, Iter 44620: Loss = 0.013290748931467533, lr = [0.0001] +[2024-05-20 23:51:39,179] - INFO: Epoch 447/9999, Iter 44640: Loss = 0.015502344816923141, lr = [0.0001] +[2024-05-20 23:51:53,650] - INFO: Epoch 447/9999, Iter 44660: Loss = 0.013702875934541225, lr = [0.0001] +[2024-05-20 23:52:08,196] - INFO: Epoch 447/9999, Iter 44680: Loss = 0.011885356158018112, lr = [0.0001] +[2024-05-20 23:52:24,394] - INFO: Epoch 448/9999, Iter 44700: Loss = 0.010989516042172909, lr = [0.0001] +[2024-05-20 23:52:38,968] - INFO: Epoch 448/9999, Iter 44720: Loss = 0.014132698066532612, lr = [0.0001] +[2024-05-20 23:52:53,613] - INFO: Epoch 448/9999, Iter 44740: Loss = 0.010043866001069546, lr = [0.0001] +[2024-05-20 23:53:08,344] - INFO: Epoch 448/9999, Iter 44760: Loss = 0.005550369620323181, lr = [0.0001] +[2024-05-20 23:53:23,049] - INFO: Epoch 448/9999, Iter 44780: Loss = 0.01652872934937477, lr = [0.0001] +[2024-05-20 23:53:39,012] - INFO: Epoch 449/9999, Iter 44800: Loss = 0.01102421898394823, lr = [0.0001] +[2024-05-20 23:53:53,752] - INFO: Epoch 449/9999, Iter 44820: Loss = 0.015117616392672062, lr = [0.0001] +[2024-05-20 23:54:08,506] - INFO: Epoch 449/9999, Iter 44840: Loss = 0.01807226613163948, lr = [0.0001] +[2024-05-20 23:54:23,360] - INFO: Epoch 449/9999, Iter 44860: Loss = 0.01046956516802311, lr = [0.0001] +[2024-05-20 23:54:38,112] - INFO: Epoch 449/9999, Iter 44880: Loss = 0.01254362054169178, lr = [0.0001] +[2024-05-20 23:54:54,396] - INFO: Epoch 450/9999, Iter 44900: Loss = 0.01612776145339012, lr = [0.0001] +[2024-05-20 23:55:09,235] - INFO: Epoch 450/9999, Iter 44920: Loss = 0.011706553399562836, lr = [0.0001] +[2024-05-20 23:55:23,999] - INFO: Epoch 450/9999, Iter 44940: Loss = 0.012974017299711704, lr = [0.0001] +[2024-05-20 23:55:38,731] - INFO: Epoch 450/9999, Iter 44960: Loss = 0.016295786947011948, lr = [0.0001] +[2024-05-20 23:55:53,460] - INFO: Epoch 450/9999, Iter 44980: Loss = 0.014164096675813198, lr = [0.0001] +[2024-05-20 23:56:08,104] - INFO: Evaluate at epoch 450! +[2024-05-20 23:56:13,375] - INFO: Eval PSNR (max): 37.752 (325) SSIM (max): 0.9601 (400) +[2024-05-20 23:56:13,375] - INFO: Eval PSNR (current): 36.799 (450) SSIM (current): 0.9591 (450) +[2024-05-20 23:56:13,375] - INFO: Evaluation over. +[2024-05-20 23:57:20,629] - INFO: Epoch 451/9999, Iter 45000: Loss = 0.011667815037071705, lr = [0.0001] +[2024-05-20 23:57:35,006] - INFO: Epoch 451/9999, Iter 45020: Loss = 0.012381505221128464, lr = [0.0001] +[2024-05-20 23:57:49,476] - INFO: Epoch 451/9999, Iter 45040: Loss = 0.016785170882940292, lr = [0.0001] +[2024-05-20 23:58:03,917] - INFO: Epoch 451/9999, Iter 45060: Loss = 0.017555758357048035, lr = [0.0001] +[2024-05-20 23:58:18,435] - INFO: Epoch 451/9999, Iter 45080: Loss = 0.013879869133234024, lr = [0.0001] +[2024-05-20 23:58:34,280] - INFO: Epoch 452/9999, Iter 45100: Loss = 0.015495878644287586, lr = [0.0001] +[2024-05-20 23:58:48,983] - INFO: Epoch 452/9999, Iter 45120: Loss = 0.014486325904726982, lr = [0.0001] +[2024-05-20 23:59:03,471] - INFO: Epoch 452/9999, Iter 45140: Loss = 0.009522078558802605, lr = [0.0001] +[2024-05-20 23:59:17,963] - INFO: Epoch 452/9999, Iter 45160: Loss = 0.015927469357848167, lr = [0.0001] +[2024-05-20 23:59:32,540] - INFO: Epoch 452/9999, Iter 45180: Loss = 0.011733860708773136, lr = [0.0001] +[2024-05-20 23:59:48,621] - INFO: Epoch 453/9999, Iter 45200: Loss = 0.013865811750292778, lr = [0.0001] +[2024-05-21 00:00:03,216] - INFO: Epoch 453/9999, Iter 45220: Loss = 0.02529280260205269, lr = [0.0001] +[2024-05-21 00:00:17,898] - INFO: Epoch 453/9999, Iter 45240: Loss = 0.006007641553878784, lr = [0.0001] +[2024-05-21 00:00:32,604] - INFO: Epoch 453/9999, Iter 45260: Loss = 0.00876576080918312, lr = [0.0001] +[2024-05-21 00:00:47,285] - INFO: Epoch 453/9999, Iter 45280: Loss = 0.007121853530406952, lr = [0.0001] +[2024-05-21 00:01:03,320] - INFO: Epoch 454/9999, Iter 45300: Loss = 0.01695951446890831, lr = [0.0001] +[2024-05-21 00:01:18,092] - INFO: Epoch 454/9999, Iter 45320: Loss = 0.015429789200425148, lr = [0.0001] +[2024-05-21 00:01:32,757] - INFO: Epoch 454/9999, Iter 45340: Loss = 0.012475382536649704, lr = [0.0001] +[2024-05-21 00:01:47,389] - INFO: Epoch 454/9999, Iter 45360: Loss = 0.02700159326195717, lr = [0.0001] +[2024-05-21 00:02:02,105] - INFO: Epoch 454/9999, Iter 45380: Loss = 0.016528930515050888, lr = [0.0001] +[2024-05-21 00:02:18,216] - INFO: Epoch 455/9999, Iter 45400: Loss = 0.012736130505800247, lr = [0.0001] +[2024-05-21 00:02:32,953] - INFO: Epoch 455/9999, Iter 45420: Loss = 0.009493578225374222, lr = [0.0001] +[2024-05-21 00:02:47,616] - INFO: Epoch 455/9999, Iter 45440: Loss = 0.01124868169426918, lr = [0.0001] +[2024-05-21 00:03:02,287] - INFO: Epoch 455/9999, Iter 45460: Loss = 0.014894853346049786, lr = [0.0001] +[2024-05-21 00:03:17,051] - INFO: Epoch 455/9999, Iter 45480: Loss = 0.010988286696374416, lr = [0.0001] +[2024-05-21 00:03:31,467] - INFO: Evaluate at epoch 455! +[2024-05-21 00:03:36,792] - INFO: Eval PSNR (max): 37.752 (325) SSIM (max): 0.9601 (400) +[2024-05-21 00:03:36,792] - INFO: Eval PSNR (current): 37.317 (455) SSIM (current): 0.9595 (455) +[2024-05-21 00:03:36,792] - INFO: Evaluation over. +[2024-05-21 00:04:48,353] - INFO: Epoch 456/9999, Iter 45500: Loss = 0.014418796636164188, lr = [0.0001] +[2024-05-21 00:05:02,698] - INFO: Epoch 456/9999, Iter 45520: Loss = 0.01663808524608612, lr = [0.0001] +[2024-05-21 00:05:17,076] - INFO: Epoch 456/9999, Iter 45540: Loss = 0.015253055840730667, lr = [0.0001] +[2024-05-21 00:05:31,516] - INFO: Epoch 456/9999, Iter 45560: Loss = 0.01726139709353447, lr = [0.0001] +[2024-05-21 00:05:45,950] - INFO: Epoch 456/9999, Iter 45580: Loss = 0.013139713555574417, lr = [0.0001] +[2024-05-21 00:06:01,823] - INFO: Epoch 457/9999, Iter 45600: Loss = 0.010950974188745022, lr = [0.0001] +[2024-05-21 00:06:16,796] - INFO: Epoch 457/9999, Iter 45620: Loss = 0.01013749185949564, lr = [0.0001] +[2024-05-21 00:06:31,546] - INFO: Epoch 457/9999, Iter 45640: Loss = 0.011030536144971848, lr = [0.0001] +[2024-05-21 00:06:46,052] - INFO: Epoch 457/9999, Iter 45660: Loss = 0.010592120699584484, lr = [0.0001] +[2024-05-21 00:07:00,668] - INFO: Epoch 457/9999, Iter 45680: Loss = 0.012168662622570992, lr = [0.0001] +[2024-05-21 00:07:16,278] - INFO: Epoch 458/9999, Iter 45700: Loss = 0.016188589856028557, lr = [0.0001] +[2024-05-21 00:07:30,906] - INFO: Epoch 458/9999, Iter 45720: Loss = 0.00813707523047924, lr = [0.0001] +[2024-05-21 00:07:45,459] - INFO: Epoch 458/9999, Iter 45740: Loss = 0.01033556368201971, lr = [0.0001] +[2024-05-21 00:08:00,080] - INFO: Epoch 458/9999, Iter 45760: Loss = 0.010028790682554245, lr = [0.0001] +[2024-05-21 00:08:14,770] - INFO: Epoch 458/9999, Iter 45780: Loss = 0.020089248195290565, lr = [0.0001] +[2024-05-21 00:08:30,583] - INFO: Epoch 459/9999, Iter 45800: Loss = 0.012548965401947498, lr = [0.0001] +[2024-05-21 00:08:45,258] - INFO: Epoch 459/9999, Iter 45820: Loss = 0.013112103566527367, lr = [0.0001] +[2024-05-21 00:09:00,021] - INFO: Epoch 459/9999, Iter 45840: Loss = 0.010573758743703365, lr = [0.0001] +[2024-05-21 00:09:14,728] - INFO: Epoch 459/9999, Iter 45860: Loss = 0.020010868087410927, lr = [0.0001] +[2024-05-21 00:09:29,459] - INFO: Epoch 459/9999, Iter 45880: Loss = 0.01930638588964939, lr = [0.0001] +[2024-05-21 00:09:45,536] - INFO: Epoch 460/9999, Iter 45900: Loss = 0.011187474243342876, lr = [0.0001] +[2024-05-21 00:10:00,420] - INFO: Epoch 460/9999, Iter 45920: Loss = 0.012041221372783184, lr = [0.0001] +[2024-05-21 00:10:15,124] - INFO: Epoch 460/9999, Iter 45940: Loss = 0.01690974459052086, lr = [0.0001] +[2024-05-21 00:10:29,980] - INFO: Epoch 460/9999, Iter 45960: Loss = 0.02042645402252674, lr = [0.0001] +[2024-05-21 00:10:44,716] - INFO: Epoch 460/9999, Iter 45980: Loss = 0.013649482280015945, lr = [0.0001] +[2024-05-21 00:10:59,148] - INFO: Evaluate at epoch 460! +[2024-05-21 00:11:04,251] - INFO: Eval PSNR (max): 37.752 (325) SSIM (max): 0.9601 (400) +[2024-05-21 00:11:04,251] - INFO: Eval PSNR (current): 37.688 (460) SSIM (current): 0.9595 (460) +[2024-05-21 00:11:04,251] - INFO: Evaluation over. +[2024-05-21 00:12:13,803] - INFO: Epoch 461/9999, Iter 46000: Loss = 0.014028074219822884, lr = [0.0001] +[2024-05-21 00:12:28,439] - INFO: Epoch 461/9999, Iter 46020: Loss = 0.013068963773548603, lr = [0.0001] +[2024-05-21 00:12:42,849] - INFO: Epoch 461/9999, Iter 46040: Loss = 0.014850715175271034, lr = [0.0001] +[2024-05-21 00:12:57,267] - INFO: Epoch 461/9999, Iter 46060: Loss = 0.010153664276003838, lr = [0.0001] +[2024-05-21 00:13:11,656] - INFO: Epoch 461/9999, Iter 46080: Loss = 0.017030134797096252, lr = [0.0001] +[2024-05-21 00:13:27,286] - INFO: Epoch 462/9999, Iter 46100: Loss = 0.01823538914322853, lr = [0.0001] +[2024-05-21 00:13:41,851] - INFO: Epoch 462/9999, Iter 46120: Loss = 0.008738847449421883, lr = [0.0001] +[2024-05-21 00:13:56,396] - INFO: Epoch 462/9999, Iter 46140: Loss = 0.01792742684483528, lr = [0.0001] +[2024-05-21 00:14:10,983] - INFO: Epoch 462/9999, Iter 46160: Loss = 0.01603088714182377, lr = [0.0001] +[2024-05-21 00:14:25,800] - INFO: Epoch 462/9999, Iter 46180: Loss = 0.010235647670924664, lr = [0.0001] +[2024-05-21 00:14:48,192] - INFO: Epoch 463/9999, Iter 46200: Loss = 0.017932476475834846, lr = [0.0001] +[2024-05-21 00:15:02,744] - INFO: Epoch 463/9999, Iter 46220: Loss = 0.013056335970759392, lr = [0.0001] +[2024-05-21 00:15:17,302] - INFO: Epoch 463/9999, Iter 46240: Loss = 0.013199943117797375, lr = [0.0001] +[2024-05-21 00:15:31,900] - INFO: Epoch 463/9999, Iter 46260: Loss = 0.05496394261717796, lr = [0.0001] +[2024-05-21 00:15:46,398] - INFO: Epoch 463/9999, Iter 46280: Loss = 1.742258071899414, lr = [0.0001] +[2024-05-21 00:16:02,564] - INFO: Epoch 464/9999, Iter 46300: Loss = 0.1431421935558319, lr = [0.0001] +[2024-05-21 00:16:17,189] - INFO: Epoch 464/9999, Iter 46320: Loss = 0.1123661920428276, lr = [0.0001] +[2024-05-21 00:16:31,783] - INFO: Epoch 464/9999, Iter 46340: Loss = 0.03362857177853584, lr = [0.0001] +[2024-05-21 00:16:46,443] - INFO: Epoch 464/9999, Iter 46360: Loss = 0.03618346527218819, lr = [0.0001] +[2024-05-21 00:17:01,079] - INFO: Epoch 464/9999, Iter 46380: Loss = 0.03217232599854469, lr = [0.0001] +[2024-05-21 00:17:16,917] - INFO: Epoch 465/9999, Iter 46400: Loss = 0.012522618286311626, lr = [0.0001] +[2024-05-21 00:17:31,816] - INFO: Epoch 465/9999, Iter 46420: Loss = 0.0175239946693182, lr = [0.0001] +[2024-05-21 00:17:46,513] - INFO: Epoch 465/9999, Iter 46440: Loss = 0.02088477462530136, lr = [0.0001] +[2024-05-21 00:18:01,217] - INFO: Epoch 465/9999, Iter 46460: Loss = 0.013660704717040062, lr = [0.0001] +[2024-05-21 00:18:15,959] - INFO: Epoch 465/9999, Iter 46480: Loss = 0.0159190334379673, lr = [0.0001] +[2024-05-21 00:18:30,414] - INFO: Evaluate at epoch 465! +[2024-05-21 00:18:35,969] - INFO: Eval PSNR (max): 37.752 (325) SSIM (max): 0.9601 (400) +[2024-05-21 00:18:35,969] - INFO: Eval PSNR (current): 36.656 (465) SSIM (current): 0.9545 (465) +[2024-05-21 00:18:35,969] - INFO: Evaluation over. +[2024-05-21 00:21:36,552] - INFO: Epoch 466/9999, Iter 46500: Loss = 0.015859287232160568, lr = [0.0001] +[2024-05-21 00:21:50,800] - INFO: Epoch 466/9999, Iter 46520: Loss = 0.010769869200885296, lr = [0.0001] +[2024-05-21 00:22:05,290] - INFO: Epoch 466/9999, Iter 46540: Loss = 0.01744348742067814, lr = [0.0001] +[2024-05-21 00:22:19,559] - INFO: Epoch 466/9999, Iter 46560: Loss = 0.00926398579031229, lr = [0.0001] +[2024-05-21 00:22:33,835] - INFO: Epoch 466/9999, Iter 46580: Loss = 0.015318048186600208, lr = [0.0001] +[2024-05-21 00:22:49,460] - INFO: Epoch 467/9999, Iter 46600: Loss = 0.007325202692300081, lr = [0.0001] +[2024-05-21 00:23:03,796] - INFO: Epoch 467/9999, Iter 46620: Loss = 0.024660149589180946, lr = [0.0001] +[2024-05-21 00:25:09,308] - INFO: Epoch 467/9999, Iter 46640: Loss = 0.012101707980036736, lr = [0.0001] +[2024-05-21 00:25:23,500] - INFO: Epoch 467/9999, Iter 46660: Loss = 0.022204359993338585, lr = [0.0001] +[2024-05-21 00:25:37,710] - INFO: Epoch 467/9999, Iter 46680: Loss = 0.01257720123976469, lr = [0.0001] +[2024-05-21 00:25:53,507] - INFO: Epoch 468/9999, Iter 46700: Loss = 0.014166695065796375, lr = [0.0001] +[2024-05-21 00:26:07,931] - INFO: Epoch 468/9999, Iter 46720: Loss = 0.020550036802887917, lr = [0.0001] +[2024-05-21 00:26:22,344] - INFO: Epoch 468/9999, Iter 46740: Loss = 0.022754212841391563, lr = [0.0001] +[2024-05-21 00:26:36,678] - INFO: Epoch 468/9999, Iter 46760: Loss = 0.014777733013033867, lr = [0.0001] +[2024-05-21 00:26:51,056] - INFO: Epoch 468/9999, Iter 46780: Loss = 0.01388054434210062, lr = [0.0001] +[2024-05-21 00:27:06,984] - INFO: Epoch 469/9999, Iter 46800: Loss = 0.009434554725885391, lr = [0.0001] +[2024-05-21 00:27:21,584] - INFO: Epoch 469/9999, Iter 46820: Loss = 0.014177165925502777, lr = [0.0001] +[2024-05-21 00:27:36,105] - INFO: Epoch 469/9999, Iter 46840: Loss = 0.01635664701461792, lr = [0.0001] +[2024-05-21 00:27:50,671] - INFO: Epoch 469/9999, Iter 46860: Loss = 0.010850946418941021, lr = [0.0001] +[2024-05-21 00:28:08,765] - INFO: Epoch 469/9999, Iter 46880: Loss = 0.025177065283060074, lr = [0.0001] +[2024-05-21 00:28:30,835] - INFO: Epoch 470/9999, Iter 46900: Loss = 0.01468353159725666, lr = [0.0001] +[2024-05-21 00:28:45,424] - INFO: Epoch 470/9999, Iter 46920: Loss = 0.010392657481133938, lr = [0.0001] +[2024-05-21 00:29:00,017] - INFO: Epoch 470/9999, Iter 46940: Loss = 0.016943173483014107, lr = [0.0001] +[2024-05-21 00:29:14,563] - INFO: Epoch 470/9999, Iter 46960: Loss = 0.011531620286405087, lr = [0.0001] +[2024-05-21 00:29:29,146] - INFO: Epoch 470/9999, Iter 46980: Loss = 0.0072720167227089405, lr = [0.0001] +[2024-05-21 00:29:43,358] - INFO: Evaluate at epoch 470! +[2024-05-21 00:29:48,632] - INFO: Eval PSNR (max): 37.752 (325) SSIM (max): 0.9601 (400) +[2024-05-21 00:29:48,632] - INFO: Eval PSNR (current): 37.468 (470) SSIM (current): 0.9583 (470) +[2024-05-21 00:29:48,632] - INFO: Evaluation over. +[2024-05-21 00:30:33,530] - INFO: Epoch 471/9999, Iter 47000: Loss = 0.01896826922893524, lr = [0.0001] +[2024-05-21 00:30:47,932] - INFO: Epoch 471/9999, Iter 47020: Loss = 0.0280611515045166, lr = [0.0001] +[2024-05-21 00:31:02,304] - INFO: Epoch 471/9999, Iter 47040: Loss = 0.011054023168981075, lr = [0.0001] +[2024-05-21 00:31:16,628] - INFO: Epoch 471/9999, Iter 47060: Loss = 0.02280665934085846, lr = [0.0001] +[2024-05-21 00:31:31,057] - INFO: Epoch 471/9999, Iter 47080: Loss = 0.017453599721193314, lr = [0.0001] +[2024-05-21 00:31:46,737] - INFO: Epoch 472/9999, Iter 47100: Loss = 0.016651995480060577, lr = [0.0001] +[2024-05-21 00:32:01,255] - INFO: Epoch 472/9999, Iter 47120: Loss = 0.011482099071145058, lr = [0.0001] +[2024-05-21 00:32:15,853] - INFO: Epoch 472/9999, Iter 47140: Loss = 0.018572404980659485, lr = [0.0001] +[2024-05-21 00:32:30,412] - INFO: Epoch 472/9999, Iter 47160: Loss = 0.019020721316337585, lr = [0.0001] +[2024-05-21 00:32:44,988] - INFO: Epoch 472/9999, Iter 47180: Loss = 0.010353474877774715, lr = [0.0001] +[2024-05-21 00:33:00,868] - INFO: Epoch 473/9999, Iter 47200: Loss = 0.01374661922454834, lr = [0.0001] +[2024-05-21 00:33:15,571] - INFO: Epoch 473/9999, Iter 47220: Loss = 0.02254170924425125, lr = [0.0001] +[2024-05-21 00:33:30,218] - INFO: Epoch 473/9999, Iter 47240: Loss = 0.014500904828310013, lr = [0.0001] +[2024-05-21 00:33:44,992] - INFO: Epoch 473/9999, Iter 47260: Loss = 0.008025024086236954, lr = [0.0001] +[2024-05-21 00:33:59,658] - INFO: Epoch 473/9999, Iter 47280: Loss = 0.012281699106097221, lr = [0.0001] +[2024-05-21 00:34:15,764] - INFO: Epoch 474/9999, Iter 47300: Loss = 0.01692509651184082, lr = [0.0001] +[2024-05-21 00:34:30,527] - INFO: Epoch 474/9999, Iter 47320: Loss = 0.018668288365006447, lr = [0.0001] +[2024-05-21 00:34:45,253] - INFO: Epoch 474/9999, Iter 47340: Loss = 0.020365605130791664, lr = [0.0001] +[2024-05-21 00:35:00,070] - INFO: Epoch 474/9999, Iter 47360: Loss = 0.01560861337929964, lr = [0.0001] +[2024-05-21 00:35:14,853] - INFO: Epoch 474/9999, Iter 47380: Loss = 0.01671820878982544, lr = [0.0001] +[2024-05-21 00:35:31,044] - INFO: Epoch 475/9999, Iter 47400: Loss = 0.016232838854193687, lr = [0.0001] +[2024-05-21 00:35:45,884] - INFO: Epoch 475/9999, Iter 47420: Loss = 0.020643554627895355, lr = [0.0001] +[2024-05-21 00:36:00,685] - INFO: Epoch 475/9999, Iter 47440: Loss = 0.011042779311537743, lr = [0.0001] +[2024-05-21 00:36:15,410] - INFO: Epoch 475/9999, Iter 47460: Loss = 0.008973682299256325, lr = [0.0001] +[2024-05-21 00:36:30,208] - INFO: Epoch 475/9999, Iter 47480: Loss = 0.013542638160288334, lr = [0.0001] +[2024-05-21 00:36:44,633] - INFO: Evaluate at epoch 475! +[2024-05-21 00:36:49,696] - INFO: Eval PSNR (max): 37.752 (325) SSIM (max): 0.9601 (400) +[2024-05-21 00:36:49,696] - INFO: Eval PSNR (current): 37.573 (475) SSIM (current): 0.9589 (475) +[2024-05-21 00:36:49,696] - INFO: Evaluation over. +[2024-05-21 00:42:04,245] - INFO: Epoch 476/9999, Iter 47500: Loss = 0.0130137475207448, lr = [0.0001] +[2024-05-21 00:42:18,390] - INFO: Epoch 476/9999, Iter 47520: Loss = 0.010077359154820442, lr = [0.0001] +[2024-05-21 00:42:32,692] - INFO: Epoch 476/9999, Iter 47540: Loss = 0.007126218639314175, lr = [0.0001] +[2024-05-21 00:42:46,980] - INFO: Epoch 476/9999, Iter 47560: Loss = 0.01693038083612919, lr = [0.0001] +[2024-05-21 00:43:01,284] - INFO: Epoch 476/9999, Iter 47580: Loss = 0.010690255090594292, lr = [0.0001] +[2024-05-21 00:43:16,869] - INFO: Epoch 477/9999, Iter 47600: Loss = 0.010121588595211506, lr = [0.0001] +[2024-05-21 00:43:31,317] - INFO: Epoch 477/9999, Iter 47620: Loss = 0.01602071337401867, lr = [0.0001] +[2024-05-21 00:43:45,656] - INFO: Epoch 477/9999, Iter 47640: Loss = 0.012990914285182953, lr = [0.0001] +[2024-05-21 00:44:00,020] - INFO: Epoch 477/9999, Iter 47660: Loss = 0.007846909575164318, lr = [0.0001] +[2024-05-21 00:44:14,468] - INFO: Epoch 477/9999, Iter 47680: Loss = 0.012116785161197186, lr = [0.0001] +[2024-05-21 00:44:30,476] - INFO: Epoch 478/9999, Iter 47700: Loss = 0.013793889433145523, lr = [0.0001] +[2024-05-21 00:44:44,917] - INFO: Epoch 478/9999, Iter 47720: Loss = 0.02324257604777813, lr = [0.0001] +[2024-05-21 00:44:59,416] - INFO: Epoch 478/9999, Iter 47740: Loss = 0.020090628415346146, lr = [0.0001] +[2024-05-21 00:45:13,991] - INFO: Epoch 478/9999, Iter 47760: Loss = 0.020523570477962494, lr = [0.0001] +[2024-05-21 00:45:28,593] - INFO: Epoch 478/9999, Iter 47780: Loss = 0.010520733892917633, lr = [0.0001] +[2024-05-21 00:45:44,495] - INFO: Epoch 479/9999, Iter 47800: Loss = 0.0177462138235569, lr = [0.0001] +[2024-05-21 00:45:59,154] - INFO: Epoch 479/9999, Iter 47820: Loss = 0.009905237704515457, lr = [0.0001] +[2024-05-21 00:46:13,853] - INFO: Epoch 479/9999, Iter 47840: Loss = 0.008791061118245125, lr = [0.0001] +[2024-05-21 00:46:28,452] - INFO: Epoch 479/9999, Iter 47860: Loss = 0.01536404900252819, lr = [0.0001] +[2024-05-21 00:46:43,242] - INFO: Epoch 479/9999, Iter 47880: Loss = 0.011372026987373829, lr = [0.0001] +[2024-05-21 00:46:59,256] - INFO: Epoch 480/9999, Iter 47900: Loss = 0.016918150708079338, lr = [0.0001] +[2024-05-21 00:47:14,130] - INFO: Epoch 480/9999, Iter 47920: Loss = 0.010572881437838078, lr = [0.0001] +[2024-05-21 00:47:28,883] - INFO: Epoch 480/9999, Iter 47940: Loss = 0.013700781390070915, lr = [0.0001] +[2024-05-21 00:47:43,551] - INFO: Epoch 480/9999, Iter 47960: Loss = 0.009698969312012196, lr = [0.0001] +[2024-05-21 00:47:58,272] - INFO: Epoch 480/9999, Iter 47980: Loss = 0.013824893161654472, lr = [0.0001] +[2024-05-21 00:48:12,619] - INFO: Evaluate at epoch 480! +[2024-05-21 00:48:17,783] - INFO: Eval PSNR (max): 37.752 (325) SSIM (max): 0.9601 (400) +[2024-05-21 00:48:17,783] - INFO: Eval PSNR (current): 37.655 (480) SSIM (current): 0.9595 (480) +[2024-05-21 00:48:17,783] - INFO: Evaluation over. +[2024-05-21 00:49:30,587] - INFO: Epoch 481/9999, Iter 48000: Loss = 0.015104800462722778, lr = [0.0001] +[2024-05-21 00:49:44,912] - INFO: Epoch 481/9999, Iter 48020: Loss = 0.009744635783135891, lr = [0.0001] +[2024-05-21 00:49:59,487] - INFO: Epoch 481/9999, Iter 48040: Loss = 0.007888372987508774, lr = [0.0001] +[2024-05-21 00:50:13,920] - INFO: Epoch 481/9999, Iter 48060: Loss = 0.018177511170506477, lr = [0.0001] +[2024-05-21 00:50:28,394] - INFO: Epoch 481/9999, Iter 48080: Loss = 0.014064913615584373, lr = [0.0001] +[2024-05-21 00:50:44,016] - INFO: Epoch 482/9999, Iter 48100: Loss = 0.013191397301852703, lr = [0.0001] +[2024-05-21 00:50:58,512] - INFO: Epoch 482/9999, Iter 48120: Loss = 0.010988992638885975, lr = [0.0001] +[2024-05-21 00:51:13,052] - INFO: Epoch 482/9999, Iter 48140: Loss = 0.010011048056185246, lr = [0.0001] +[2024-05-21 00:51:27,563] - INFO: Epoch 482/9999, Iter 48160: Loss = 0.014548247680068016, lr = [0.0001] +[2024-05-21 00:51:42,124] - INFO: Epoch 482/9999, Iter 48180: Loss = 0.00990360975265503, lr = [0.0001] +[2024-05-21 00:51:58,038] - INFO: Epoch 483/9999, Iter 48200: Loss = 0.01015116460621357, lr = [0.0001] +[2024-05-21 00:52:12,708] - INFO: Epoch 483/9999, Iter 48220: Loss = 0.01163520384579897, lr = [0.0001] +[2024-05-21 00:52:27,380] - INFO: Epoch 483/9999, Iter 48240: Loss = 0.015232430770993233, lr = [0.0001] +[2024-05-21 00:52:42,048] - INFO: Epoch 483/9999, Iter 48260: Loss = 0.009634530171751976, lr = [0.0001] +[2024-05-21 00:52:56,736] - INFO: Epoch 483/9999, Iter 48280: Loss = 0.013150693848729134, lr = [0.0001] +[2024-05-21 00:53:12,899] - INFO: Epoch 484/9999, Iter 48300: Loss = 0.008094197139143944, lr = [0.0001] +[2024-05-21 00:53:27,720] - INFO: Epoch 484/9999, Iter 48320: Loss = 0.018572520464658737, lr = [0.0001] +[2024-05-21 00:53:42,461] - INFO: Epoch 484/9999, Iter 48340: Loss = 0.008900965563952923, lr = [0.0001] +[2024-05-21 00:53:57,168] - INFO: Epoch 484/9999, Iter 48360: Loss = 0.02156546153128147, lr = [0.0001] +[2024-05-21 00:54:11,969] - INFO: Epoch 484/9999, Iter 48380: Loss = 0.024251852184534073, lr = [0.0001] +[2024-05-21 00:54:28,056] - INFO: Epoch 485/9999, Iter 48400: Loss = 0.010803842917084694, lr = [0.0001] +[2024-05-21 00:54:42,876] - INFO: Epoch 485/9999, Iter 48420: Loss = 0.02494571916759014, lr = [0.0001] +[2024-05-21 00:54:57,848] - INFO: Epoch 485/9999, Iter 48440: Loss = 0.01013878546655178, lr = [0.0001] +[2024-05-21 00:55:12,624] - INFO: Epoch 485/9999, Iter 48460: Loss = 0.016124095767736435, lr = [0.0001] +[2024-05-21 00:55:27,424] - INFO: Epoch 485/9999, Iter 48480: Loss = 0.01689089834690094, lr = [0.0001] +[2024-05-21 00:55:41,932] - INFO: Evaluate at epoch 485! +[2024-05-21 00:55:47,197] - INFO: Eval PSNR (max): 37.752 (325) SSIM (max): 0.9601 (400) +[2024-05-21 00:55:47,197] - INFO: Eval PSNR (current): 37.709 (485) SSIM (current): 0.9597 (485) +[2024-05-21 00:55:47,197] - INFO: Evaluation over. +[2024-05-21 00:56:54,932] - INFO: Epoch 486/9999, Iter 48500: Loss = 0.01909526251256466, lr = [0.0001] +[2024-05-21 00:57:09,392] - INFO: Epoch 486/9999, Iter 48520: Loss = 0.016941295936703682, lr = [0.0001] +[2024-05-21 00:57:23,876] - INFO: Epoch 486/9999, Iter 48540: Loss = 0.007441007532179356, lr = [0.0001] +[2024-05-21 00:57:38,556] - INFO: Epoch 486/9999, Iter 48560: Loss = 0.019417790696024895, lr = [0.0001] +[2024-05-21 00:57:52,968] - INFO: Epoch 486/9999, Iter 48580: Loss = 0.008504263125360012, lr = [0.0001] +[2024-05-21 00:58:08,856] - INFO: Epoch 487/9999, Iter 48600: Loss = 0.014765462838113308, lr = [0.0001] +[2024-05-21 00:58:23,378] - INFO: Epoch 487/9999, Iter 48620: Loss = 0.015862878412008286, lr = [0.0001] +[2024-05-21 00:58:37,894] - INFO: Epoch 487/9999, Iter 48640: Loss = 0.0176705215126276, lr = [0.0001] +[2024-05-21 00:58:52,496] - INFO: Epoch 487/9999, Iter 48660: Loss = 0.017497776076197624, lr = [0.0001] +[2024-05-21 00:59:07,005] - INFO: Epoch 487/9999, Iter 48680: Loss = 0.012481753714382648, lr = [0.0001] +[2024-05-21 00:59:22,870] - INFO: Epoch 488/9999, Iter 48700: Loss = 0.015024939551949501, lr = [0.0001] +[2024-05-21 00:59:37,612] - INFO: Epoch 488/9999, Iter 48720: Loss = 0.01377609372138977, lr = [0.0001] +[2024-05-21 00:59:52,188] - INFO: Epoch 488/9999, Iter 48740: Loss = 0.013917073607444763, lr = [0.0001] +[2024-05-21 01:00:06,737] - INFO: Epoch 488/9999, Iter 48760: Loss = 0.014674678444862366, lr = [0.0001] +[2024-05-21 01:00:21,303] - INFO: Epoch 488/9999, Iter 48780: Loss = 0.019049273803830147, lr = [0.0001] +[2024-05-21 01:00:37,308] - INFO: Epoch 489/9999, Iter 48800: Loss = 0.01563371904194355, lr = [0.0001] +[2024-05-21 01:00:51,917] - INFO: Epoch 489/9999, Iter 48820: Loss = 0.010574053972959518, lr = [0.0001] +[2024-05-21 01:01:06,626] - INFO: Epoch 489/9999, Iter 48840: Loss = 0.010248211212456226, lr = [0.0001] +[2024-05-21 01:01:21,229] - INFO: Epoch 489/9999, Iter 48860: Loss = 0.01826285943388939, lr = [0.0001] +[2024-05-21 01:01:35,951] - INFO: Epoch 489/9999, Iter 48880: Loss = 0.010549014434218407, lr = [0.0001] +[2024-05-21 01:01:51,920] - INFO: Epoch 490/9999, Iter 48900: Loss = 0.0153041398152709, lr = [0.0001] +[2024-05-21 01:02:06,664] - INFO: Epoch 490/9999, Iter 48920: Loss = 0.01298499759286642, lr = [0.0001] +[2024-05-21 01:02:21,383] - INFO: Epoch 490/9999, Iter 48940: Loss = 0.01055905595421791, lr = [0.0001] +[2024-05-21 01:02:36,224] - INFO: Epoch 490/9999, Iter 48960: Loss = 0.018255038186907768, lr = [0.0001] +[2024-05-21 01:02:51,073] - INFO: Epoch 490/9999, Iter 48980: Loss = 0.01744695007801056, lr = [0.0001] +[2024-05-21 01:03:05,531] - INFO: Evaluate at epoch 490! +[2024-05-21 01:04:18,167] - INFO: Eval PSNR (max): 37.771 (490) SSIM (max): 0.9601 (400) +[2024-05-21 01:04:18,171] - INFO: Eval PSNR (current): 37.771 (490) SSIM (current): 0.9600 (490) +[2024-05-21 01:04:18,171] - INFO: Evaluation over. +[2024-05-21 01:05:28,184] - INFO: Epoch 491/9999, Iter 49000: Loss = 0.011070050299167633, lr = [0.0001] +[2024-05-21 01:05:42,400] - INFO: Epoch 491/9999, Iter 49020: Loss = 0.007914667949080467, lr = [0.0001] +[2024-05-21 01:05:56,632] - INFO: Epoch 491/9999, Iter 49040: Loss = 0.017889833077788353, lr = [0.0001] +[2024-05-21 01:06:11,047] - INFO: Epoch 491/9999, Iter 49060: Loss = 0.009193431586027145, lr = [0.0001] +[2024-05-21 01:06:25,420] - INFO: Epoch 491/9999, Iter 49080: Loss = 0.016988590359687805, lr = [0.0001] +[2024-05-21 01:06:41,119] - INFO: Epoch 492/9999, Iter 49100: Loss = 0.013082314282655716, lr = [0.0001] +[2024-05-21 01:06:55,735] - INFO: Epoch 492/9999, Iter 49120: Loss = 0.025651119649410248, lr = [0.0001] +[2024-05-21 01:07:10,186] - INFO: Epoch 492/9999, Iter 49140: Loss = 0.018569936975836754, lr = [0.0001] +[2024-05-21 01:07:24,648] - INFO: Epoch 492/9999, Iter 49160: Loss = 0.014285671524703503, lr = [0.0001] +[2024-05-21 01:07:39,242] - INFO: Epoch 492/9999, Iter 49180: Loss = 0.009668564423918724, lr = [0.0001] +[2024-05-21 01:07:54,960] - INFO: Epoch 493/9999, Iter 49200: Loss = 0.010955563746392727, lr = [0.0001] +[2024-05-21 01:08:09,504] - INFO: Epoch 493/9999, Iter 49220: Loss = 0.0100932652130723, lr = [0.0001] +[2024-05-21 01:08:24,013] - INFO: Epoch 493/9999, Iter 49240: Loss = 0.016859734430909157, lr = [0.0001] +[2024-05-21 01:08:38,737] - INFO: Epoch 493/9999, Iter 49260: Loss = 0.008548811078071594, lr = [0.0001] +[2024-05-21 01:08:53,327] - INFO: Epoch 493/9999, Iter 49280: Loss = 0.013042655773460865, lr = [0.0001] +[2024-05-21 01:09:09,409] - INFO: Epoch 494/9999, Iter 49300: Loss = 0.017352638766169548, lr = [0.0001] +[2024-05-21 01:09:24,037] - INFO: Epoch 494/9999, Iter 49320: Loss = 0.013937528245151043, lr = [0.0001] +[2024-05-21 01:09:38,788] - INFO: Epoch 494/9999, Iter 49340: Loss = 0.021979644894599915, lr = [0.0001] +[2024-05-21 01:09:53,476] - INFO: Epoch 494/9999, Iter 49360: Loss = 0.012588412500917912, lr = [0.0001] +[2024-05-21 01:10:08,164] - INFO: Epoch 494/9999, Iter 49380: Loss = 0.021979672834277153, lr = [0.0001] +[2024-05-21 01:10:24,093] - INFO: Epoch 495/9999, Iter 49400: Loss = 0.018921276554465294, lr = [0.0001] +[2024-05-21 01:10:38,876] - INFO: Epoch 495/9999, Iter 49420: Loss = 0.016351522877812386, lr = [0.0001] +[2024-05-21 01:10:53,588] - INFO: Epoch 495/9999, Iter 49440: Loss = 0.007787874434143305, lr = [0.0001] +[2024-05-21 01:11:08,244] - INFO: Epoch 495/9999, Iter 49460: Loss = 0.013279956765472889, lr = [0.0001] +[2024-05-21 01:11:22,976] - INFO: Epoch 495/9999, Iter 49480: Loss = 0.013327820226550102, lr = [0.0001] +[2024-05-21 01:11:37,315] - INFO: Evaluate at epoch 495! +[2024-05-21 01:11:42,980] - INFO: Eval PSNR (max): 37.771 (490) SSIM (max): 0.9601 (400) +[2024-05-21 01:11:42,981] - INFO: Eval PSNR (current): 37.724 (495) SSIM (current): 0.9596 (495) +[2024-05-21 01:11:42,981] - INFO: Evaluation over. +[2024-05-21 01:14:41,298] - INFO: Epoch 496/9999, Iter 49500: Loss = 0.018489286303520203, lr = [0.0001] +[2024-05-21 01:15:05,315] - INFO: Epoch 496/9999, Iter 49520: Loss = 0.009063881821930408, lr = [0.0001] +[2024-05-21 01:15:19,613] - INFO: Epoch 496/9999, Iter 49540: Loss = 0.009438572451472282, lr = [0.0001] +[2024-05-21 01:15:34,181] - INFO: Epoch 496/9999, Iter 49560: Loss = 0.016288192942738533, lr = [0.0001] +[2024-05-21 01:15:48,513] - INFO: Epoch 496/9999, Iter 49580: Loss = 0.009004592895507812, lr = [0.0001] +[2024-05-21 01:16:04,175] - INFO: Epoch 497/9999, Iter 49600: Loss = 0.014900249429047108, lr = [0.0001] +[2024-05-21 01:17:12,672] - INFO: Epoch 497/9999, Iter 49620: Loss = 0.012042192742228508, lr = [0.0001] +[2024-05-21 01:17:27,016] - INFO: Epoch 497/9999, Iter 49640: Loss = 0.013926404528319836, lr = [0.0001] +[2024-05-21 01:17:41,299] - INFO: Epoch 497/9999, Iter 49660: Loss = 0.015041382983326912, lr = [0.0001] +[2024-05-21 01:17:55,633] - INFO: Epoch 497/9999, Iter 49680: Loss = 0.009598868899047375, lr = [0.0001] +[2024-05-21 01:18:23,552] - INFO: Epoch 498/9999, Iter 49700: Loss = 0.010251165367662907, lr = [0.0001] +[2024-05-21 01:18:37,914] - INFO: Epoch 498/9999, Iter 49720: Loss = 0.012295287102460861, lr = [0.0001] +[2024-05-21 01:18:52,292] - INFO: Epoch 498/9999, Iter 49740: Loss = 0.010714096017181873, lr = [0.0001] +[2024-05-21 01:19:06,706] - INFO: Epoch 498/9999, Iter 49760: Loss = 0.009705202654004097, lr = [0.0001] +[2024-05-21 01:19:21,176] - INFO: Epoch 498/9999, Iter 49780: Loss = 0.01114879734814167, lr = [0.0001] +[2024-05-21 01:19:36,924] - INFO: Epoch 499/9999, Iter 49800: Loss = 0.02718590386211872, lr = [0.0001] +[2024-05-21 01:19:51,383] - INFO: Epoch 499/9999, Iter 49820: Loss = 0.022096820175647736, lr = [0.0001] +[2024-05-21 01:20:05,926] - INFO: Epoch 499/9999, Iter 49840: Loss = 0.014975609257817268, lr = [0.0001] +[2024-05-21 01:20:20,545] - INFO: Epoch 499/9999, Iter 49860: Loss = 0.01821371354162693, lr = [0.0001] +[2024-05-21 01:20:35,069] - INFO: Epoch 499/9999, Iter 49880: Loss = 0.006824320647865534, lr = [0.0001] +[2024-05-21 01:20:51,164] - INFO: Epoch 500/9999, Iter 49900: Loss = 0.0251159705221653, lr = [0.0001] +[2024-05-21 01:21:05,818] - INFO: Epoch 500/9999, Iter 49920: Loss = 0.018937304615974426, lr = [0.0001] +[2024-05-21 01:21:20,511] - INFO: Epoch 500/9999, Iter 49940: Loss = 0.011693058535456657, lr = [0.0001] +[2024-05-21 01:21:35,207] - INFO: Epoch 500/9999, Iter 49960: Loss = 0.008389567025005817, lr = [0.0001] +[2024-05-21 01:21:50,004] - INFO: Epoch 500/9999, Iter 49980: Loss = 0.008873362094163895, lr = [0.0001] +[2024-05-21 01:22:04,391] - INFO: Evaluate at epoch 500! +[2024-05-21 01:23:17,564] - INFO: Eval PSNR (max): 37.808 (500) SSIM (max): 0.9601 (400) +[2024-05-21 01:23:17,566] - INFO: Eval PSNR (current): 37.808 (500) SSIM (current): 0.9600 (500) +[2024-05-21 01:23:17,566] - INFO: Evaluation over. +[2024-05-21 01:24:43,166] - INFO: Epoch 501/9999, Iter 50000: Loss = 0.006982263643294573, lr = [0.0001] +[2024-05-21 01:24:57,668] - INFO: Epoch 501/9999, Iter 50020: Loss = 0.016258450224995613, lr = [0.0001] +[2024-05-21 01:25:12,013] - INFO: Epoch 501/9999, Iter 50040: Loss = 0.007578173652291298, lr = [0.0001] +[2024-05-21 01:25:26,356] - INFO: Epoch 501/9999, Iter 50060: Loss = 0.011593873612582684, lr = [0.0001] +[2024-05-21 01:25:40,788] - INFO: Epoch 501/9999, Iter 50080: Loss = 0.009259377606213093, lr = [0.0001] +[2024-05-21 01:25:56,228] - INFO: Epoch 502/9999, Iter 50100: Loss = 0.011549673974514008, lr = [0.0001] +[2024-05-21 01:26:10,687] - INFO: Epoch 502/9999, Iter 50120: Loss = 0.015818381682038307, lr = [0.0001] +[2024-05-21 01:26:25,135] - INFO: Epoch 502/9999, Iter 50140: Loss = 0.01982748508453369, lr = [0.0001] +[2024-05-21 01:26:39,654] - INFO: Epoch 502/9999, Iter 50160: Loss = 0.019594378769397736, lr = [0.0001] +[2024-05-21 01:26:54,131] - INFO: Epoch 502/9999, Iter 50180: Loss = 0.011246430687606335, lr = [0.0001] +[2024-05-21 01:27:10,132] - INFO: Epoch 503/9999, Iter 50200: Loss = 0.022542402148246765, lr = [0.0001] +[2024-05-21 01:27:24,654] - INFO: Epoch 503/9999, Iter 50220: Loss = 0.013577604666352272, lr = [0.0001] +[2024-05-21 01:27:39,261] - INFO: Epoch 503/9999, Iter 50240: Loss = 0.011332998983561993, lr = [0.0001] +[2024-05-21 01:27:53,850] - INFO: Epoch 503/9999, Iter 50260: Loss = 0.023106900975108147, lr = [0.0001] +[2024-05-21 01:28:08,419] - INFO: Epoch 503/9999, Iter 50280: Loss = 0.015623671002686024, lr = [0.0001] +[2024-05-21 01:28:24,192] - INFO: Epoch 504/9999, Iter 50300: Loss = 0.013197115622460842, lr = [0.0001] +[2024-05-21 01:28:38,832] - INFO: Epoch 504/9999, Iter 50320: Loss = 0.012441585771739483, lr = [0.0001] +[2024-05-21 01:28:53,517] - INFO: Epoch 504/9999, Iter 50340: Loss = 0.01878705807030201, lr = [0.0001] +[2024-05-21 01:29:08,300] - INFO: Epoch 504/9999, Iter 50360: Loss = 0.01431889645755291, lr = [0.0001] +[2024-05-21 01:29:23,052] - INFO: Epoch 504/9999, Iter 50380: Loss = 0.011333913542330265, lr = [0.0001] +[2024-05-21 01:29:39,339] - INFO: Epoch 505/9999, Iter 50400: Loss = 0.01646156795322895, lr = [0.0001] +[2024-05-21 01:29:54,186] - INFO: Epoch 505/9999, Iter 50420: Loss = 0.01715889573097229, lr = [0.0001] +[2024-05-21 01:30:08,955] - INFO: Epoch 505/9999, Iter 50440: Loss = 0.014919871464371681, lr = [0.0001] +[2024-05-21 01:30:23,869] - INFO: Epoch 505/9999, Iter 50460: Loss = 0.010948347859084606, lr = [0.0001] +[2024-05-21 01:30:38,664] - INFO: Epoch 505/9999, Iter 50480: Loss = 0.007433942053467035, lr = [0.0001] +[2024-05-21 01:30:53,292] - INFO: Evaluate at epoch 505! +[2024-05-21 01:30:59,189] - INFO: Eval PSNR (max): 37.808 (500) SSIM (max): 0.9601 (400) +[2024-05-21 01:30:59,189] - INFO: Eval PSNR (current): 37.230 (505) SSIM (current): 0.9594 (505) +[2024-05-21 01:30:59,189] - INFO: Evaluation over. +[2024-05-21 01:32:07,599] - INFO: Epoch 506/9999, Iter 50500: Loss = 0.023843565955758095, lr = [0.0001] +[2024-05-21 01:32:22,063] - INFO: Epoch 506/9999, Iter 50520: Loss = 0.020660217851400375, lr = [0.0001] +[2024-05-21 01:32:36,497] - INFO: Epoch 506/9999, Iter 50540: Loss = 0.01035383902490139, lr = [0.0001] +[2024-05-21 01:32:50,964] - INFO: Epoch 506/9999, Iter 50560: Loss = 0.0166903268545866, lr = [0.0001] +[2024-05-21 01:33:05,584] - INFO: Epoch 506/9999, Iter 50580: Loss = 0.010941240936517715, lr = [0.0001] +[2024-05-21 01:33:21,424] - INFO: Epoch 507/9999, Iter 50600: Loss = 0.015303493477404118, lr = [0.0001] +[2024-05-21 01:33:36,173] - INFO: Epoch 507/9999, Iter 50620: Loss = 0.013891460373997688, lr = [0.0001] +[2024-05-21 01:33:50,705] - INFO: Epoch 507/9999, Iter 50640: Loss = 0.013172635808587074, lr = [0.0001] +[2024-05-21 01:34:05,256] - INFO: Epoch 507/9999, Iter 50660: Loss = 0.009379200637340546, lr = [0.0001] +[2024-05-21 01:34:19,844] - INFO: Epoch 507/9999, Iter 50680: Loss = 0.007317568641155958, lr = [0.0001] +[2024-05-21 01:34:36,111] - INFO: Epoch 508/9999, Iter 50700: Loss = 0.017815401777625084, lr = [0.0001] +[2024-05-21 01:34:50,778] - INFO: Epoch 508/9999, Iter 50720: Loss = 0.016455918550491333, lr = [0.0001] +[2024-05-21 01:35:05,408] - INFO: Epoch 508/9999, Iter 50740: Loss = 0.01135683711618185, lr = [0.0001] +[2024-05-21 01:35:20,052] - INFO: Epoch 508/9999, Iter 50760: Loss = 0.02133350633084774, lr = [0.0001] +[2024-05-21 01:35:34,724] - INFO: Epoch 508/9999, Iter 50780: Loss = 0.008335997350513935, lr = [0.0001] +[2024-05-21 01:35:50,680] - INFO: Epoch 509/9999, Iter 50800: Loss = 0.014632557518780231, lr = [0.0001] +[2024-05-21 01:36:05,421] - INFO: Epoch 509/9999, Iter 50820: Loss = 0.006696121767163277, lr = [0.0001] +[2024-05-21 01:36:20,158] - INFO: Epoch 509/9999, Iter 50840: Loss = 0.01425811368972063, lr = [0.0001] +[2024-05-21 01:36:34,741] - INFO: Epoch 509/9999, Iter 50860: Loss = 0.01389012299478054, lr = [0.0001] +[2024-05-21 01:36:49,378] - INFO: Epoch 509/9999, Iter 50880: Loss = 0.01398507785052061, lr = [0.0001] +[2024-05-21 01:37:05,424] - INFO: Epoch 510/9999, Iter 50900: Loss = 0.014964401721954346, lr = [0.0001] +[2024-05-21 01:37:20,209] - INFO: Epoch 510/9999, Iter 50920: Loss = 0.013299010694026947, lr = [0.0001] +[2024-05-21 01:37:34,907] - INFO: Epoch 510/9999, Iter 50940: Loss = 0.014066951349377632, lr = [0.0001] +[2024-05-21 01:37:49,560] - INFO: Epoch 510/9999, Iter 50960: Loss = 0.019707992672920227, lr = [0.0001] +[2024-05-21 01:38:04,337] - INFO: Epoch 510/9999, Iter 50980: Loss = 0.013208995573222637, lr = [0.0001] +[2024-05-21 01:38:18,691] - INFO: Evaluate at epoch 510! +[2024-05-21 01:38:23,897] - INFO: Eval PSNR (max): 37.808 (500) SSIM (max): 0.9601 (400) +[2024-05-21 01:38:23,897] - INFO: Eval PSNR (current): 36.395 (510) SSIM (current): 0.9594 (510) +[2024-05-21 01:38:23,898] - INFO: Evaluation over. +[2024-05-21 01:39:32,387] - INFO: Epoch 511/9999, Iter 51000: Loss = 0.012214894406497478, lr = [0.0001] +[2024-05-21 01:39:46,785] - INFO: Epoch 511/9999, Iter 51020: Loss = 0.011336622759699821, lr = [0.0001] +[2024-05-21 01:40:01,279] - INFO: Epoch 511/9999, Iter 51040: Loss = 0.019670870155096054, lr = [0.0001] +[2024-05-21 01:40:15,760] - INFO: Epoch 511/9999, Iter 51060: Loss = 0.00971178524196148, lr = [0.0001] +[2024-05-21 01:40:30,204] - INFO: Epoch 511/9999, Iter 51080: Loss = 0.009912796318531036, lr = [0.0001] +[2024-05-21 01:40:45,965] - INFO: Epoch 512/9999, Iter 51100: Loss = 0.01378508098423481, lr = [0.0001] +[2024-05-21 01:41:00,464] - INFO: Epoch 512/9999, Iter 51120: Loss = 0.012463018298149109, lr = [0.0001] +[2024-05-21 01:41:14,966] - INFO: Epoch 512/9999, Iter 51140: Loss = 0.0194620992988348, lr = [0.0001] +[2024-05-21 01:41:29,393] - INFO: Epoch 512/9999, Iter 51160: Loss = 0.013277806341648102, lr = [0.0001] +[2024-05-21 01:41:43,852] - INFO: Epoch 512/9999, Iter 51180: Loss = 0.014484494924545288, lr = [0.0001] +[2024-05-21 01:41:59,738] - INFO: Epoch 513/9999, Iter 51200: Loss = 0.019554907456040382, lr = [0.0001] +[2024-05-21 01:42:14,345] - INFO: Epoch 513/9999, Iter 51220: Loss = 0.01550808921456337, lr = [0.0001] +[2024-05-21 01:42:28,885] - INFO: Epoch 513/9999, Iter 51240: Loss = 0.011590694077312946, lr = [0.0001] +[2024-05-21 01:42:43,510] - INFO: Epoch 513/9999, Iter 51260: Loss = 0.01376007217913866, lr = [0.0001] +[2024-05-21 01:42:58,239] - INFO: Epoch 513/9999, Iter 51280: Loss = 0.017445692792534828, lr = [0.0001] +[2024-05-21 01:43:14,278] - INFO: Epoch 514/9999, Iter 51300: Loss = 0.011830455623567104, lr = [0.0001] +[2024-05-21 01:43:28,992] - INFO: Epoch 514/9999, Iter 51320: Loss = 0.011532735079526901, lr = [0.0001] +[2024-05-21 01:43:43,802] - INFO: Epoch 514/9999, Iter 51340: Loss = 0.01282842829823494, lr = [0.0001] +[2024-05-21 01:43:58,627] - INFO: Epoch 514/9999, Iter 51360: Loss = 0.010997913777828217, lr = [0.0001] +[2024-05-21 01:44:13,343] - INFO: Epoch 514/9999, Iter 51380: Loss = 0.01625591702759266, lr = [0.0001] +[2024-05-21 01:44:29,496] - INFO: Epoch 515/9999, Iter 51400: Loss = 0.01254535373300314, lr = [0.0001] +[2024-05-21 01:44:44,242] - INFO: Epoch 515/9999, Iter 51420: Loss = 0.007566407788544893, lr = [0.0001] +[2024-05-21 01:44:58,909] - INFO: Epoch 515/9999, Iter 51440: Loss = 0.007328800857067108, lr = [0.0001] +[2024-05-21 01:45:13,492] - INFO: Epoch 515/9999, Iter 51460: Loss = 0.018313828855752945, lr = [0.0001] +[2024-05-21 01:45:28,205] - INFO: Epoch 515/9999, Iter 51480: Loss = 0.008800729177892208, lr = [0.0001] +[2024-05-21 01:45:42,557] - INFO: Evaluate at epoch 515! +[2024-05-21 01:46:56,911] - INFO: Eval PSNR (max): 37.808 (500) SSIM (max): 0.9602 (515) +[2024-05-21 01:46:56,916] - INFO: Eval PSNR (current): 37.705 (515) SSIM (current): 0.9602 (515) +[2024-05-21 01:46:56,916] - INFO: Evaluation over. +[2024-05-21 01:48:06,003] - INFO: Epoch 516/9999, Iter 51500: Loss = 0.0144955450668931, lr = [0.0001] +[2024-05-21 01:48:20,183] - INFO: Epoch 516/9999, Iter 51520: Loss = 0.011029886081814766, lr = [0.0001] +[2024-05-21 01:48:34,486] - INFO: Epoch 516/9999, Iter 51540: Loss = 0.005704227369278669, lr = [0.0001] +[2024-05-21 01:48:48,792] - INFO: Epoch 516/9999, Iter 51560: Loss = 0.01686577871441841, lr = [0.0001] +[2024-05-21 01:49:03,137] - INFO: Epoch 516/9999, Iter 51580: Loss = 0.015553046017885208, lr = [0.0001] +[2024-05-21 01:49:18,771] - INFO: Epoch 517/9999, Iter 51600: Loss = 0.00950124952942133, lr = [0.0001] +[2024-05-21 01:49:33,172] - INFO: Epoch 517/9999, Iter 51620: Loss = 0.015274827368557453, lr = [0.0001] +[2024-05-21 01:49:47,527] - INFO: Epoch 517/9999, Iter 51640: Loss = 0.019481513649225235, lr = [0.0001] +[2024-05-21 01:50:01,948] - INFO: Epoch 517/9999, Iter 51660: Loss = 0.004977914970368147, lr = [0.0001] +[2024-05-21 01:50:16,380] - INFO: Epoch 517/9999, Iter 51680: Loss = 0.01607385091483593, lr = [0.0001] +[2024-05-21 01:50:32,023] - INFO: Epoch 518/9999, Iter 51700: Loss = 0.013102604076266289, lr = [0.0001] +[2024-05-21 01:50:46,551] - INFO: Epoch 518/9999, Iter 51720: Loss = 0.010742361657321453, lr = [0.0001] +[2024-05-21 01:51:01,046] - INFO: Epoch 518/9999, Iter 51740: Loss = 0.01755966618657112, lr = [0.0001] +[2024-05-21 01:51:15,718] - INFO: Epoch 518/9999, Iter 51760: Loss = 0.012548482045531273, lr = [0.0001] +[2024-05-21 01:51:30,324] - INFO: Epoch 518/9999, Iter 51780: Loss = 0.008203638717532158, lr = [0.0001] +[2024-05-21 01:51:46,214] - INFO: Epoch 519/9999, Iter 51800: Loss = 0.017007315531373024, lr = [0.0001] +[2024-05-21 01:52:00,881] - INFO: Epoch 519/9999, Iter 51820: Loss = 0.012154997326433659, lr = [0.0001] +[2024-05-21 01:52:15,508] - INFO: Epoch 519/9999, Iter 51840: Loss = 0.010084784589707851, lr = [0.0001] +[2024-05-21 01:52:30,137] - INFO: Epoch 519/9999, Iter 51860: Loss = 0.016838647425174713, lr = [0.0001] +[2024-05-21 01:52:44,873] - INFO: Epoch 519/9999, Iter 51880: Loss = 0.014205650426447392, lr = [0.0001] +[2024-05-21 01:53:00,802] - INFO: Epoch 520/9999, Iter 51900: Loss = 0.015029418282210827, lr = [0.0001] +[2024-05-21 01:53:15,602] - INFO: Epoch 520/9999, Iter 51920: Loss = 0.013815843500196934, lr = [0.0001] +[2024-05-21 01:53:30,336] - INFO: Epoch 520/9999, Iter 51940: Loss = 0.02494935132563114, lr = [0.0001] +[2024-05-21 01:53:45,052] - INFO: Epoch 520/9999, Iter 51960: Loss = 0.008592306636273861, lr = [0.0001] +[2024-05-21 01:53:59,783] - INFO: Epoch 520/9999, Iter 51980: Loss = 0.011302833445370197, lr = [0.0001] +[2024-05-21 01:54:14,227] - INFO: Evaluate at epoch 520! +[2024-05-21 01:55:28,601] - INFO: Eval PSNR (max): 37.811 (520) SSIM (max): 0.9602 (515) +[2024-05-21 01:55:28,603] - INFO: Eval PSNR (current): 37.811 (520) SSIM (current): 0.9599 (520) +[2024-05-21 01:55:28,603] - INFO: Evaluation over. +[2024-05-21 01:56:38,156] - INFO: Epoch 521/9999, Iter 52000: Loss = 0.013899901881814003, lr = [0.0001] +[2024-05-21 01:56:52,444] - INFO: Epoch 521/9999, Iter 52020: Loss = 0.008369220420718193, lr = [0.0001] +[2024-05-21 01:57:06,724] - INFO: Epoch 521/9999, Iter 52040: Loss = 0.013782660476863384, lr = [0.0001] +[2024-05-21 01:57:21,002] - INFO: Epoch 521/9999, Iter 52060: Loss = 0.012411479838192463, lr = [0.0001] +[2024-05-21 01:57:35,375] - INFO: Epoch 521/9999, Iter 52080: Loss = 0.01628532074391842, lr = [0.0001] +[2024-05-21 01:57:51,448] - INFO: Epoch 522/9999, Iter 52100: Loss = 0.012762910686433315, lr = [0.0001] +[2024-05-21 01:58:05,844] - INFO: Epoch 522/9999, Iter 52120: Loss = 0.022048968821763992, lr = [0.0001] +[2024-05-21 01:58:20,235] - INFO: Epoch 522/9999, Iter 52140: Loss = 0.01649928279221058, lr = [0.0001] +[2024-05-21 01:58:34,683] - INFO: Epoch 522/9999, Iter 52160: Loss = 0.01004913542419672, lr = [0.0001] +[2024-05-21 01:58:49,119] - INFO: Epoch 522/9999, Iter 52180: Loss = 0.012361705303192139, lr = [0.0001] +[2024-05-21 01:59:04,888] - INFO: Epoch 523/9999, Iter 52200: Loss = 0.014501766301691532, lr = [0.0001] +[2024-05-21 01:59:19,422] - INFO: Epoch 523/9999, Iter 52220: Loss = 0.011478678323328495, lr = [0.0001] +[2024-05-21 01:59:33,851] - INFO: Epoch 523/9999, Iter 52240: Loss = 0.014746756292879581, lr = [0.0001] +[2024-05-21 01:59:48,308] - INFO: Epoch 523/9999, Iter 52260: Loss = 0.014195431023836136, lr = [0.0001] +[2024-05-21 02:00:02,805] - INFO: Epoch 523/9999, Iter 52280: Loss = 0.010265618562698364, lr = [0.0001] +[2024-05-21 02:00:18,702] - INFO: Epoch 524/9999, Iter 52300: Loss = 0.016653267666697502, lr = [0.0001] +[2024-05-21 02:00:33,369] - INFO: Epoch 524/9999, Iter 52320: Loss = 0.009210138581693172, lr = [0.0001] +[2024-05-21 02:00:47,970] - INFO: Epoch 524/9999, Iter 52340: Loss = 0.02276056818664074, lr = [0.0001] +[2024-05-21 02:01:02,507] - INFO: Epoch 524/9999, Iter 52360: Loss = 0.022262539714574814, lr = [0.0001] +[2024-05-21 02:01:17,125] - INFO: Epoch 524/9999, Iter 52380: Loss = 0.018962476402521133, lr = [0.0001] +[2024-05-21 02:01:33,164] - INFO: Epoch 525/9999, Iter 52400: Loss = 0.012678809463977814, lr = [0.0001] +[2024-05-21 02:01:47,878] - INFO: Epoch 525/9999, Iter 52420: Loss = 0.010423172265291214, lr = [0.0001] +[2024-05-21 02:02:02,518] - INFO: Epoch 525/9999, Iter 52440: Loss = 0.01164395734667778, lr = [0.0001] +[2024-05-21 02:02:17,151] - INFO: Epoch 525/9999, Iter 52460: Loss = 0.014721034094691277, lr = [0.0001] +[2024-05-21 02:02:31,860] - INFO: Epoch 525/9999, Iter 52480: Loss = 0.010628622956573963, lr = [0.0001] +[2024-05-21 02:02:46,240] - INFO: Evaluate at epoch 525! +[2024-05-21 02:02:51,209] - INFO: Eval PSNR (max): 37.811 (520) SSIM (max): 0.9602 (515) +[2024-05-21 02:02:51,210] - INFO: Eval PSNR (current): 37.442 (525) SSIM (current): 0.9597 (525) +[2024-05-21 02:02:51,210] - INFO: Evaluation over. +[2024-05-21 02:04:00,236] - INFO: Epoch 526/9999, Iter 52500: Loss = 0.016491493210196495, lr = [0.0001] +[2024-05-21 02:04:14,582] - INFO: Epoch 526/9999, Iter 52520: Loss = 0.010954011231660843, lr = [0.0001] +[2024-05-21 02:04:29,128] - INFO: Epoch 526/9999, Iter 52540: Loss = 0.019165029749274254, lr = [0.0001] +[2024-05-21 02:04:43,539] - INFO: Epoch 526/9999, Iter 52560: Loss = 0.01345969270914793, lr = [0.0001] +[2024-05-21 02:04:57,927] - INFO: Epoch 526/9999, Iter 52580: Loss = 0.010997277684509754, lr = [0.0001] +[2024-05-21 02:05:13,568] - INFO: Epoch 527/9999, Iter 52600: Loss = 0.015625091269612312, lr = [0.0001] +[2024-05-21 02:05:28,168] - INFO: Epoch 527/9999, Iter 52620: Loss = 0.0191060621291399, lr = [0.0001] +[2024-05-21 02:05:42,670] - INFO: Epoch 527/9999, Iter 52640: Loss = 0.017531920224428177, lr = [0.0001] +[2024-05-21 02:05:57,240] - INFO: Epoch 527/9999, Iter 52660: Loss = 0.023598406463861465, lr = [0.0001] +[2024-05-21 02:06:11,888] - INFO: Epoch 527/9999, Iter 52680: Loss = 0.004578069783747196, lr = [0.0001] +[2024-05-21 02:06:27,704] - INFO: Epoch 528/9999, Iter 52700: Loss = 0.007942666299641132, lr = [0.0001] +[2024-05-21 02:06:42,377] - INFO: Epoch 528/9999, Iter 52720: Loss = 0.011727988719940186, lr = [0.0001] +[2024-05-21 02:06:56,990] - INFO: Epoch 528/9999, Iter 52740: Loss = 0.01377426739782095, lr = [0.0001] +[2024-05-21 02:07:11,652] - INFO: Epoch 528/9999, Iter 52760: Loss = 0.01623479463160038, lr = [0.0001] +[2024-05-21 02:07:26,395] - INFO: Epoch 528/9999, Iter 52780: Loss = 0.017179569229483604, lr = [0.0001] +[2024-05-21 02:07:42,655] - INFO: Epoch 529/9999, Iter 52800: Loss = 0.012436560355126858, lr = [0.0001] +[2024-05-21 02:07:57,434] - INFO: Epoch 529/9999, Iter 52820: Loss = 0.013235506601631641, lr = [0.0001] +[2024-05-21 02:08:12,215] - INFO: Epoch 529/9999, Iter 52840: Loss = 0.013365218415856361, lr = [0.0001] +[2024-05-21 02:08:26,922] - INFO: Epoch 529/9999, Iter 52860: Loss = 0.013951445929706097, lr = [0.0001] +[2024-05-21 02:08:41,678] - INFO: Epoch 529/9999, Iter 52880: Loss = 0.017426373437047005, lr = [0.0001] +[2024-05-21 02:08:57,493] - INFO: Epoch 530/9999, Iter 52900: Loss = 0.012400183826684952, lr = [0.0001] +[2024-05-21 02:09:12,279] - INFO: Epoch 530/9999, Iter 52920: Loss = 0.018404902890324593, lr = [0.0001] +[2024-05-21 02:09:27,080] - INFO: Epoch 530/9999, Iter 52940: Loss = 0.009833304211497307, lr = [0.0001] +[2024-05-21 02:09:41,812] - INFO: Epoch 530/9999, Iter 52960: Loss = 0.01724330149590969, lr = [0.0001] +[2024-05-21 02:09:56,620] - INFO: Epoch 530/9999, Iter 52980: Loss = 0.01327171828597784, lr = [0.0001] +[2024-05-21 02:10:11,075] - INFO: Evaluate at epoch 530! +[2024-05-21 02:10:16,241] - INFO: Eval PSNR (max): 37.811 (520) SSIM (max): 0.9602 (515) +[2024-05-21 02:10:16,241] - INFO: Eval PSNR (current): 37.808 (530) SSIM (current): 0.9600 (530) +[2024-05-21 02:10:16,241] - INFO: Evaluation over. +[2024-05-21 02:11:26,604] - INFO: Epoch 531/9999, Iter 53000: Loss = 0.014579386450350285, lr = [0.0001] +[2024-05-21 02:11:40,953] - INFO: Epoch 531/9999, Iter 53020: Loss = 0.01450570859014988, lr = [0.0001] +[2024-05-21 02:11:55,400] - INFO: Epoch 531/9999, Iter 53040: Loss = 0.020748646929860115, lr = [0.0001] +[2024-05-21 02:12:09,875] - INFO: Epoch 531/9999, Iter 53060: Loss = 0.012326589785516262, lr = [0.0001] +[2024-05-21 02:12:24,274] - INFO: Epoch 531/9999, Iter 53080: Loss = 0.025479450821876526, lr = [0.0001] +[2024-05-21 02:12:40,300] - INFO: Epoch 532/9999, Iter 53100: Loss = 0.016603851690888405, lr = [0.0001] +[2024-05-21 02:12:54,808] - INFO: Epoch 532/9999, Iter 53120: Loss = 0.009014043025672436, lr = [0.0001] +[2024-05-21 02:13:09,445] - INFO: Epoch 532/9999, Iter 53140: Loss = 0.017248162999749184, lr = [0.0001] +[2024-05-21 02:13:23,931] - INFO: Epoch 532/9999, Iter 53160: Loss = 0.011683318763971329, lr = [0.0001] +[2024-05-21 02:13:38,520] - INFO: Epoch 532/9999, Iter 53180: Loss = 0.016379211097955704, lr = [0.0001] +[2024-05-21 02:13:55,060] - INFO: Epoch 533/9999, Iter 53200: Loss = 0.009108349680900574, lr = [0.0001] +[2024-05-21 02:14:35,860] - INFO: Epoch 533/9999, Iter 53220: Loss = 0.011089841835200787, lr = [0.0001] +[2024-05-21 02:14:50,312] - INFO: Epoch 533/9999, Iter 53240: Loss = 0.013784278184175491, lr = [0.0001] +[2024-05-21 02:15:04,804] - INFO: Epoch 533/9999, Iter 53260: Loss = 0.01070591900497675, lr = [0.0001] +[2024-05-21 02:15:19,322] - INFO: Epoch 533/9999, Iter 53280: Loss = 0.016871914267539978, lr = [0.0001] +[2024-05-21 02:15:34,939] - INFO: Epoch 534/9999, Iter 53300: Loss = 0.012220795266330242, lr = [0.0001] +[2024-05-21 02:15:49,389] - INFO: Epoch 534/9999, Iter 53320: Loss = 0.01801413670182228, lr = [0.0001] +[2024-05-21 02:16:03,839] - INFO: Epoch 534/9999, Iter 53340: Loss = 0.014877870678901672, lr = [0.0001] +[2024-05-21 02:16:18,342] - INFO: Epoch 534/9999, Iter 53360: Loss = 0.014947251416742802, lr = [0.0001] +[2024-05-21 02:16:33,752] - INFO: Epoch 534/9999, Iter 53380: Loss = 0.020808668807148933, lr = [0.0001] +[2024-05-21 02:16:49,687] - INFO: Epoch 535/9999, Iter 53400: Loss = 0.01700209639966488, lr = [0.0001] +[2024-05-21 02:17:04,320] - INFO: Epoch 535/9999, Iter 53420: Loss = 0.010610158555209637, lr = [0.0001] +[2024-05-21 02:17:19,053] - INFO: Epoch 535/9999, Iter 53440: Loss = 0.014534574933350086, lr = [0.0001] +[2024-05-21 02:17:33,592] - INFO: Epoch 535/9999, Iter 53460: Loss = 0.01904749497771263, lr = [0.0001] +[2024-05-21 02:17:48,201] - INFO: Epoch 535/9999, Iter 53480: Loss = 0.014400461688637733, lr = [0.0001] +[2024-05-21 02:18:02,433] - INFO: Evaluate at epoch 535! +[2024-05-21 02:18:07,285] - INFO: Eval PSNR (max): 37.811 (520) SSIM (max): 0.9602 (515) +[2024-05-21 02:18:07,285] - INFO: Eval PSNR (current): 37.745 (535) SSIM (current): 0.9600 (535) +[2024-05-21 02:18:07,285] - INFO: Evaluation over. +[2024-05-21 02:19:18,322] - INFO: Epoch 536/9999, Iter 53500: Loss = 0.009008429944515228, lr = [0.0001] +[2024-05-21 02:19:32,606] - INFO: Epoch 536/9999, Iter 53520: Loss = 0.013255921192467213, lr = [0.0001] +[2024-05-21 02:19:46,956] - INFO: Epoch 536/9999, Iter 53540: Loss = 0.00883348286151886, lr = [0.0001] +[2024-05-21 02:20:01,336] - INFO: Epoch 536/9999, Iter 53560: Loss = 0.010521809570491314, lr = [0.0001] +[2024-05-21 02:20:15,725] - INFO: Epoch 536/9999, Iter 53580: Loss = 0.02165803872048855, lr = [0.0001] +[2024-05-21 02:20:32,002] - INFO: Epoch 537/9999, Iter 53600: Loss = 0.010437022894620895, lr = [0.0001] +[2024-05-21 02:20:46,444] - INFO: Epoch 537/9999, Iter 53620: Loss = 0.00880958791822195, lr = [0.0001] +[2024-05-21 02:21:00,870] - INFO: Epoch 537/9999, Iter 53640: Loss = 0.012837019748985767, lr = [0.0001] +[2024-05-21 02:21:15,372] - INFO: Epoch 537/9999, Iter 53660: Loss = 0.010006587952375412, lr = [0.0001] +[2024-05-21 02:21:29,852] - INFO: Epoch 537/9999, Iter 53680: Loss = 0.010443249717354774, lr = [0.0001] +[2024-05-21 02:21:45,781] - INFO: Epoch 538/9999, Iter 53700: Loss = 0.009759840555489063, lr = [0.0001] +[2024-05-21 02:22:00,373] - INFO: Epoch 538/9999, Iter 53720: Loss = 0.02284209430217743, lr = [0.0001] +[2024-05-21 02:22:14,945] - INFO: Epoch 538/9999, Iter 53740: Loss = 0.013864628039300442, lr = [0.0001] +[2024-05-21 02:22:29,604] - INFO: Epoch 538/9999, Iter 53760: Loss = 0.013478009961545467, lr = [0.0001] +[2024-05-21 02:22:44,266] - INFO: Epoch 538/9999, Iter 53780: Loss = 0.01090624462813139, lr = [0.0001] +[2024-05-21 02:23:00,132] - INFO: Epoch 539/9999, Iter 53800: Loss = 0.017193974927067757, lr = [0.0001] +[2024-05-21 02:23:14,839] - INFO: Epoch 539/9999, Iter 53820: Loss = 0.012512749992311, lr = [0.0001] +[2024-05-21 02:23:29,484] - INFO: Epoch 539/9999, Iter 53840: Loss = 0.02316996641457081, lr = [0.0001] +[2024-05-21 02:23:44,142] - INFO: Epoch 539/9999, Iter 53860: Loss = 0.015497670508921146, lr = [0.0001] +[2024-05-21 02:23:58,801] - INFO: Epoch 539/9999, Iter 53880: Loss = 0.009739830158650875, lr = [0.0001] +[2024-05-21 02:24:14,472] - INFO: Epoch 540/9999, Iter 53900: Loss = 0.009184984490275383, lr = [0.0001] +[2024-05-21 02:24:29,184] - INFO: Epoch 540/9999, Iter 53920: Loss = 0.015906522050499916, lr = [0.0001] +[2024-05-21 02:24:43,850] - INFO: Epoch 540/9999, Iter 53940: Loss = 0.005318767391145229, lr = [0.0001] +[2024-05-21 02:24:58,470] - INFO: Epoch 540/9999, Iter 53960: Loss = 0.019304798915982246, lr = [0.0001] +[2024-05-21 02:25:13,117] - INFO: Epoch 540/9999, Iter 53980: Loss = 0.019930562004446983, lr = [0.0001] +[2024-05-21 02:25:27,491] - INFO: Evaluate at epoch 540! +[2024-05-21 02:25:32,664] - INFO: Eval PSNR (max): 37.811 (520) SSIM (max): 0.9602 (515) +[2024-05-21 02:25:32,664] - INFO: Eval PSNR (current): 37.522 (540) SSIM (current): 0.9594 (540) +[2024-05-21 02:25:32,664] - INFO: Evaluation over. +[2024-05-21 02:26:41,616] - INFO: Epoch 541/9999, Iter 54000: Loss = 0.00869213417172432, lr = [0.0001] +[2024-05-21 02:26:55,919] - INFO: Epoch 541/9999, Iter 54020: Loss = 0.00557303661480546, lr = [0.0001] +[2024-05-21 02:27:16,195] - INFO: Epoch 541/9999, Iter 54040: Loss = 0.013807623647153378, lr = [0.0001] +[2024-05-21 02:27:30,575] - INFO: Epoch 541/9999, Iter 54060: Loss = 0.014848455786705017, lr = [0.0001] +[2024-05-21 02:27:45,034] - INFO: Epoch 541/9999, Iter 54080: Loss = 0.009362212382256985, lr = [0.0001] +[2024-05-21 02:28:00,891] - INFO: Epoch 542/9999, Iter 54100: Loss = 0.015210859477519989, lr = [0.0001] +[2024-05-21 02:28:15,303] - INFO: Epoch 542/9999, Iter 54120: Loss = 0.013641724362969398, lr = [0.0001] +[2024-05-21 02:28:29,717] - INFO: Epoch 542/9999, Iter 54140: Loss = 0.01660037785768509, lr = [0.0001] +[2024-05-21 02:28:44,200] - INFO: Epoch 542/9999, Iter 54160: Loss = 0.016957851126790047, lr = [0.0001] +[2024-05-21 02:28:58,782] - INFO: Epoch 542/9999, Iter 54180: Loss = 0.009614890441298485, lr = [0.0001] +[2024-05-21 02:29:14,538] - INFO: Epoch 543/9999, Iter 54200: Loss = 0.010762644931674004, lr = [0.0001] +[2024-05-21 02:29:29,140] - INFO: Epoch 543/9999, Iter 54220: Loss = 0.01707366295158863, lr = [0.0001] +[2024-05-21 02:29:43,803] - INFO: Epoch 543/9999, Iter 54240: Loss = 0.007995802909135818, lr = [0.0001] +[2024-05-21 02:29:58,413] - INFO: Epoch 543/9999, Iter 54260: Loss = 0.010588581673800945, lr = [0.0001] +[2024-05-21 02:30:13,092] - INFO: Epoch 543/9999, Iter 54280: Loss = 0.014722807332873344, lr = [0.0001] +[2024-05-21 02:30:29,105] - INFO: Epoch 544/9999, Iter 54300: Loss = 0.021579915657639503, lr = [0.0001] +[2024-05-21 02:30:43,843] - INFO: Epoch 544/9999, Iter 54320: Loss = 0.007513236254453659, lr = [0.0001] +[2024-05-21 02:30:58,474] - INFO: Epoch 544/9999, Iter 54340: Loss = 0.006301560904830694, lr = [0.0001] +[2024-05-21 02:31:13,231] - INFO: Epoch 544/9999, Iter 54360: Loss = 0.00995335541665554, lr = [0.0001] +[2024-05-21 02:31:27,892] - INFO: Epoch 544/9999, Iter 54380: Loss = 0.015411880798637867, lr = [0.0001] +[2024-05-21 02:31:43,832] - INFO: Epoch 545/9999, Iter 54400: Loss = 0.015551019459962845, lr = [0.0001] +[2024-05-21 02:31:58,585] - INFO: Epoch 545/9999, Iter 54420: Loss = 0.014596104621887207, lr = [0.0001] +[2024-05-21 02:32:13,372] - INFO: Epoch 545/9999, Iter 54440: Loss = 0.012577272951602936, lr = [0.0001] +[2024-05-21 02:32:28,167] - INFO: Epoch 545/9999, Iter 54460: Loss = 0.014981071464717388, lr = [0.0001] +[2024-05-21 02:32:42,917] - INFO: Epoch 545/9999, Iter 54480: Loss = 0.022029642015695572, lr = [0.0001] +[2024-05-21 02:32:57,321] - INFO: Evaluate at epoch 545! +[2024-05-21 02:33:02,454] - INFO: Eval PSNR (max): 37.811 (520) SSIM (max): 0.9602 (515) +[2024-05-21 02:33:02,454] - INFO: Eval PSNR (current): 37.701 (545) SSIM (current): 0.9600 (545) +[2024-05-21 02:33:02,454] - INFO: Evaluation over. +[2024-05-21 02:33:47,728] - INFO: Epoch 546/9999, Iter 54500: Loss = 0.021452827379107475, lr = [0.0001] +[2024-05-21 02:34:02,161] - INFO: Epoch 546/9999, Iter 54520: Loss = 0.01183506939560175, lr = [0.0001] +[2024-05-21 02:34:16,674] - INFO: Epoch 546/9999, Iter 54540: Loss = 0.012355483137071133, lr = [0.0001] +[2024-05-21 02:34:31,172] - INFO: Epoch 546/9999, Iter 54560: Loss = 0.007129421457648277, lr = [0.0001] +[2024-05-21 02:34:45,664] - INFO: Epoch 546/9999, Iter 54580: Loss = 0.016670554876327515, lr = [0.0001] +[2024-05-21 02:35:01,392] - INFO: Epoch 547/9999, Iter 54600: Loss = 0.01153282355517149, lr = [0.0001] +[2024-05-21 02:35:15,917] - INFO: Epoch 547/9999, Iter 54620: Loss = 0.018614113330841064, lr = [0.0001] +[2024-05-21 02:35:31,869] - INFO: Epoch 547/9999, Iter 54640: Loss = 0.0168217271566391, lr = [0.0001] +[2024-05-21 02:37:57,318] - INFO: Epoch 547/9999, Iter 54660: Loss = 0.017579805105924606, lr = [0.0001] +[2024-05-21 02:38:12,816] - INFO: Epoch 547/9999, Iter 54680: Loss = 0.009116563946008682, lr = [0.0001] +[2024-05-21 02:38:28,586] - INFO: Epoch 548/9999, Iter 54700: Loss = 0.019660022109746933, lr = [0.0001] +[2024-05-21 02:38:42,993] - INFO: Epoch 548/9999, Iter 54720: Loss = 0.022599101066589355, lr = [0.0001] +[2024-05-21 02:38:57,312] - INFO: Epoch 548/9999, Iter 54740: Loss = 0.015598456375300884, lr = [0.0001] +[2024-05-21 02:39:11,749] - INFO: Epoch 548/9999, Iter 54760: Loss = 0.01326486375182867, lr = [0.0001] +[2024-05-21 02:39:26,094] - INFO: Epoch 548/9999, Iter 54780: Loss = 0.00963039230555296, lr = [0.0001] +[2024-05-21 02:39:41,804] - INFO: Epoch 549/9999, Iter 54800: Loss = 0.013963914476335049, lr = [0.0001] +[2024-05-21 02:39:56,640] - INFO: Epoch 549/9999, Iter 54820: Loss = 0.020233798772096634, lr = [0.0001] +[2024-05-21 02:40:11,663] - INFO: Epoch 549/9999, Iter 54840: Loss = 0.016921261325478554, lr = [0.0001] +[2024-05-21 02:40:26,148] - INFO: Epoch 549/9999, Iter 54860: Loss = 0.013547185808420181, lr = [0.0001] +[2024-05-21 02:40:40,692] - INFO: Epoch 549/9999, Iter 54880: Loss = 0.014553318731486797, lr = [0.0001] +[2024-05-21 02:40:56,955] - INFO: Epoch 550/9999, Iter 54900: Loss = 0.009342770092189312, lr = [0.0001] +[2024-05-21 02:41:11,592] - INFO: Epoch 550/9999, Iter 54920: Loss = 0.013346279971301556, lr = [0.0001] +[2024-05-21 02:41:26,409] - INFO: Epoch 550/9999, Iter 54940: Loss = 0.011821601539850235, lr = [0.0001] +[2024-05-21 02:41:41,012] - INFO: Epoch 550/9999, Iter 54960: Loss = 0.01155273150652647, lr = [0.0001] +[2024-05-21 02:41:55,608] - INFO: Epoch 550/9999, Iter 54980: Loss = 0.013427017256617546, lr = [0.0001] +[2024-05-21 02:42:09,858] - INFO: Evaluate at epoch 550! +[2024-05-21 02:42:15,373] - INFO: Eval PSNR (max): 37.811 (520) SSIM (max): 0.9602 (515) +[2024-05-21 02:42:15,373] - INFO: Eval PSNR (current): 37.732 (550) SSIM (current): 0.9598 (550) +[2024-05-21 02:42:15,373] - INFO: Evaluation over. +[2024-05-21 02:43:55,161] - INFO: Epoch 551/9999, Iter 55000: Loss = 0.008776829577982426, lr = [0.0001] +[2024-05-21 02:44:09,484] - INFO: Epoch 551/9999, Iter 55020: Loss = 0.012087630107998848, lr = [0.0001] +[2024-05-21 02:44:23,983] - INFO: Epoch 551/9999, Iter 55040: Loss = 0.008763117715716362, lr = [0.0001] +[2024-05-21 02:44:38,379] - INFO: Epoch 551/9999, Iter 55060: Loss = 0.016884982585906982, lr = [0.0001] +[2024-05-21 02:44:52,695] - INFO: Epoch 551/9999, Iter 55080: Loss = 0.01548551395535469, lr = [0.0001] +[2024-05-21 02:45:08,720] - INFO: Epoch 552/9999, Iter 55100: Loss = 0.017398182302713394, lr = [0.0001] +[2024-05-21 02:45:23,276] - INFO: Epoch 552/9999, Iter 55120: Loss = 0.02200237102806568, lr = [0.0001] +[2024-05-21 02:45:37,712] - INFO: Epoch 552/9999, Iter 55140: Loss = 0.017458809539675713, lr = [0.0001] +[2024-05-21 02:45:52,139] - INFO: Epoch 552/9999, Iter 55160: Loss = 0.011681878939270973, lr = [0.0001] +[2024-05-21 02:46:06,735] - INFO: Epoch 552/9999, Iter 55180: Loss = 0.010554750449955463, lr = [0.0001] +[2024-05-21 02:46:22,859] - INFO: Epoch 553/9999, Iter 55200: Loss = 0.013730804435908794, lr = [0.0001] +[2024-05-21 02:46:37,653] - INFO: Epoch 553/9999, Iter 55220: Loss = 0.02029256336390972, lr = [0.0001] +[2024-05-21 02:46:52,175] - INFO: Epoch 553/9999, Iter 55240: Loss = 0.02459046244621277, lr = [0.0001] +[2024-05-21 02:49:04,912] - INFO: Epoch 553/9999, Iter 55260: Loss = 0.01775456964969635, lr = [0.0001] +[2024-05-21 02:49:19,212] - INFO: Epoch 553/9999, Iter 55280: Loss = 0.01584007777273655, lr = [0.0001] +[2024-05-21 02:49:34,768] - INFO: Epoch 554/9999, Iter 55300: Loss = 0.020496869459748268, lr = [0.0001] +[2024-05-21 02:49:49,204] - INFO: Epoch 554/9999, Iter 55320: Loss = 0.012882090173661709, lr = [0.0001] +[2024-05-21 02:50:03,654] - INFO: Epoch 554/9999, Iter 55340: Loss = 0.013648099265992641, lr = [0.0001] +[2024-05-21 02:50:18,135] - INFO: Epoch 554/9999, Iter 55360: Loss = 0.015158896334469318, lr = [0.0001] +[2024-05-21 02:50:32,540] - INFO: Epoch 554/9999, Iter 55380: Loss = 0.017066238448023796, lr = [0.0001] +[2024-05-21 02:50:48,396] - INFO: Epoch 555/9999, Iter 55400: Loss = 0.013060645200312138, lr = [0.0001] +[2024-05-21 02:51:02,974] - INFO: Epoch 555/9999, Iter 55420: Loss = 0.019676143303513527, lr = [0.0001] +[2024-05-21 02:51:17,604] - INFO: Epoch 555/9999, Iter 55440: Loss = 0.019836999475955963, lr = [0.0001] +[2024-05-21 02:51:32,186] - INFO: Epoch 555/9999, Iter 55460: Loss = 0.013140285387635231, lr = [0.0001] +[2024-05-21 02:51:46,927] - INFO: Epoch 555/9999, Iter 55480: Loss = 0.006600146181881428, lr = [0.0001] +[2024-05-21 02:52:01,152] - INFO: Evaluate at epoch 555! +[2024-05-21 02:52:06,779] - INFO: Eval PSNR (max): 37.811 (520) SSIM (max): 0.9602 (515) +[2024-05-21 02:52:06,780] - INFO: Eval PSNR (current): 37.754 (555) SSIM (current): 0.9599 (555) +[2024-05-21 02:52:06,780] - INFO: Evaluation over. +[2024-05-21 03:00:04,881] - INFO: Epoch 556/9999, Iter 55500: Loss = 0.016728084534406662, lr = [0.0001] +[2024-05-21 03:00:19,206] - INFO: Epoch 556/9999, Iter 55520: Loss = 0.022004825994372368, lr = [0.0001] +[2024-05-21 03:00:33,459] - INFO: Epoch 556/9999, Iter 55540: Loss = 0.00944859441369772, lr = [0.0001] +[2024-05-21 03:00:47,825] - INFO: Epoch 556/9999, Iter 55560: Loss = 0.010740545578300953, lr = [0.0001] +[2024-05-21 03:01:02,073] - INFO: Epoch 556/9999, Iter 55580: Loss = 0.011843794025480747, lr = [0.0001] +[2024-05-21 03:01:17,831] - INFO: Epoch 557/9999, Iter 55600: Loss = 0.01608029380440712, lr = [0.0001] +[2024-05-21 03:01:32,261] - INFO: Epoch 557/9999, Iter 55620: Loss = 0.014915086328983307, lr = [0.0001] +[2024-05-21 03:01:46,736] - INFO: Epoch 557/9999, Iter 55640: Loss = 0.010740989819169044, lr = [0.0001] +[2024-05-21 03:02:01,144] - INFO: Epoch 557/9999, Iter 55660: Loss = 0.005954056046903133, lr = [0.0001] +[2024-05-21 03:02:15,576] - INFO: Epoch 557/9999, Iter 55680: Loss = 0.01330479234457016, lr = [0.0001] +[2024-05-21 03:02:31,477] - INFO: Epoch 558/9999, Iter 55700: Loss = 0.010382927022874355, lr = [0.0001] +[2024-05-21 03:02:46,304] - INFO: Epoch 558/9999, Iter 55720: Loss = 0.018134770914912224, lr = [0.0001] +[2024-05-21 03:03:00,904] - INFO: Epoch 558/9999, Iter 55740: Loss = 0.007031990680843592, lr = [0.0001] +[2024-05-21 03:03:15,532] - INFO: Epoch 558/9999, Iter 55760: Loss = 0.020161114633083344, lr = [0.0001] +[2024-05-21 03:03:30,163] - INFO: Epoch 558/9999, Iter 55780: Loss = 0.01398677658289671, lr = [0.0001] +[2024-05-21 03:03:46,308] - INFO: Epoch 559/9999, Iter 55800: Loss = 0.015508937649428844, lr = [0.0001] +[2024-05-21 03:04:00,940] - INFO: Epoch 559/9999, Iter 55820: Loss = 0.007702069357037544, lr = [0.0001] +[2024-05-21 03:04:15,702] - INFO: Epoch 559/9999, Iter 55840: Loss = 0.02207847870886326, lr = [0.0001] +[2024-05-21 03:04:30,383] - INFO: Epoch 559/9999, Iter 55860: Loss = 0.019271662458777428, lr = [0.0001] +[2024-05-21 03:04:45,072] - INFO: Epoch 559/9999, Iter 55880: Loss = 0.014421132393181324, lr = [0.0001] +[2024-05-21 03:05:01,311] - INFO: Epoch 560/9999, Iter 55900: Loss = 0.011519106104969978, lr = [0.0001] +[2024-05-21 03:05:16,070] - INFO: Epoch 560/9999, Iter 55920: Loss = 0.014354430139064789, lr = [0.0001] +[2024-05-21 03:05:30,698] - INFO: Epoch 560/9999, Iter 55940: Loss = 0.019362797960639, lr = [0.0001] +[2024-05-21 03:05:45,388] - INFO: Epoch 560/9999, Iter 55960: Loss = 0.012966113165020943, lr = [0.0001] +[2024-05-21 03:06:00,082] - INFO: Epoch 560/9999, Iter 55980: Loss = 0.014075351879000664, lr = [0.0001] +[2024-05-21 03:06:14,429] - INFO: Evaluate at epoch 560! +[2024-05-21 03:06:19,995] - INFO: Eval PSNR (max): 37.811 (520) SSIM (max): 0.9602 (515) +[2024-05-21 03:06:19,995] - INFO: Eval PSNR (current): 37.298 (560) SSIM (current): 0.9595 (560) +[2024-05-21 03:06:19,995] - INFO: Evaluation over. +[2024-05-21 03:07:31,520] - INFO: Epoch 561/9999, Iter 56000: Loss = 0.025055360049009323, lr = [0.0001] +[2024-05-21 03:07:45,916] - INFO: Epoch 561/9999, Iter 56020: Loss = 0.01072598248720169, lr = [0.0001] +[2024-05-21 03:08:00,473] - INFO: Epoch 561/9999, Iter 56040: Loss = 0.013095522299408913, lr = [0.0001] +[2024-05-21 03:08:14,955] - INFO: Epoch 561/9999, Iter 56060: Loss = 0.010129033587872982, lr = [0.0001] +[2024-05-21 03:08:29,420] - INFO: Epoch 561/9999, Iter 56080: Loss = 0.011785573326051235, lr = [0.0001] +[2024-05-21 03:08:45,153] - INFO: Epoch 562/9999, Iter 56100: Loss = 0.00927694421261549, lr = [0.0001] +[2024-05-21 03:08:59,923] - INFO: Epoch 562/9999, Iter 56120: Loss = 0.028204167261719704, lr = [0.0001] +[2024-05-21 03:09:14,452] - INFO: Epoch 562/9999, Iter 56140: Loss = 0.01804988645017147, lr = [0.0001] +[2024-05-21 03:09:28,935] - INFO: Epoch 562/9999, Iter 56160: Loss = 0.008627796545624733, lr = [0.0001] +[2024-05-21 03:09:43,483] - INFO: Epoch 562/9999, Iter 56180: Loss = 0.013369874097406864, lr = [0.0001] +[2024-05-21 03:09:59,406] - INFO: Epoch 563/9999, Iter 56200: Loss = 0.01924487017095089, lr = [0.0001] +[2024-05-21 03:10:32,368] - INFO: Epoch 563/9999, Iter 56220: Loss = 0.01845976896584034, lr = [0.0001] +[2024-05-21 03:10:46,852] - INFO: Epoch 563/9999, Iter 56240: Loss = 0.006857647560536861, lr = [0.0001] +[2024-05-21 03:11:06,520] - INFO: Epoch 563/9999, Iter 56260: Loss = 0.010025686584413052, lr = [0.0001] +[2024-05-21 03:11:21,858] - INFO: Epoch 563/9999, Iter 56280: Loss = 0.014570556581020355, lr = [0.0001] +[2024-05-21 03:11:44,449] - INFO: Epoch 564/9999, Iter 56300: Loss = 0.0165996290743351, lr = [0.0001] +[2024-05-21 03:11:58,913] - INFO: Epoch 564/9999, Iter 56320: Loss = 0.011526346206665039, lr = [0.0001] +[2024-05-21 03:12:13,444] - INFO: Epoch 564/9999, Iter 56340: Loss = 0.009387360885739326, lr = [0.0001] +[2024-05-21 03:12:27,924] - INFO: Epoch 564/9999, Iter 56360: Loss = 0.019345251843333244, lr = [0.0001] +[2024-05-21 03:13:34,987] - INFO: Epoch 564/9999, Iter 56380: Loss = 0.011325079947710037, lr = [0.0001] +[2024-05-21 03:13:50,600] - INFO: Epoch 565/9999, Iter 56400: Loss = 0.02193990908563137, lr = [0.0001] +[2024-05-21 03:14:05,046] - INFO: Epoch 565/9999, Iter 56420: Loss = 0.015800917521119118, lr = [0.0001] +[2024-05-21 03:14:19,525] - INFO: Epoch 565/9999, Iter 56440: Loss = 0.017150577157735825, lr = [0.0001] +[2024-05-21 03:14:34,024] - INFO: Epoch 565/9999, Iter 56460: Loss = 0.01147596724331379, lr = [0.0001] +[2024-05-21 03:14:48,522] - INFO: Epoch 565/9999, Iter 56480: Loss = 0.014624547213315964, lr = [0.0001] +[2024-05-21 03:15:02,664] - INFO: Evaluate at epoch 565! +[2024-05-21 03:15:07,730] - INFO: Eval PSNR (max): 37.811 (520) SSIM (max): 0.9602 (515) +[2024-05-21 03:15:07,730] - INFO: Eval PSNR (current): 37.665 (565) SSIM (current): 0.9592 (565) +[2024-05-21 03:15:07,730] - INFO: Evaluation over. +[2024-05-21 03:16:34,836] - INFO: Epoch 566/9999, Iter 56500: Loss = 0.015269016847014427, lr = [0.0001] +[2024-05-21 03:16:49,290] - INFO: Epoch 566/9999, Iter 56520: Loss = 0.009754584170877934, lr = [0.0001] +[2024-05-21 03:17:03,637] - INFO: Epoch 566/9999, Iter 56540: Loss = 0.015231326222419739, lr = [0.0001] +[2024-05-21 03:17:17,981] - INFO: Epoch 566/9999, Iter 56560: Loss = 0.020420406013727188, lr = [0.0001] +[2024-05-21 03:17:32,376] - INFO: Epoch 566/9999, Iter 56580: Loss = 0.01641351915895939, lr = [0.0001] +[2024-05-21 03:17:48,076] - INFO: Epoch 567/9999, Iter 56600: Loss = 0.020294716581702232, lr = [0.0001] +[2024-05-21 03:18:02,551] - INFO: Epoch 567/9999, Iter 56620: Loss = 0.014331656508147717, lr = [0.0001] +[2024-05-21 03:18:17,098] - INFO: Epoch 567/9999, Iter 56640: Loss = 0.019695131108164787, lr = [0.0001] +[2024-05-21 03:18:31,526] - INFO: Epoch 567/9999, Iter 56660: Loss = 0.008314376696944237, lr = [0.0001] +[2024-05-21 03:18:45,944] - INFO: Epoch 567/9999, Iter 56680: Loss = 0.012238330207765102, lr = [0.0001] +[2024-05-21 03:19:01,871] - INFO: Epoch 568/9999, Iter 56700: Loss = 0.019444281235337257, lr = [0.0001] +[2024-05-21 03:19:16,394] - INFO: Epoch 568/9999, Iter 56720: Loss = 0.012597617693245411, lr = [0.0001] +[2024-05-21 03:19:30,910] - INFO: Epoch 568/9999, Iter 56740: Loss = 0.01691460609436035, lr = [0.0001] +[2024-05-21 03:19:45,561] - INFO: Epoch 568/9999, Iter 56760: Loss = 0.005181791726499796, lr = [0.0001] +[2024-05-21 03:20:00,168] - INFO: Epoch 568/9999, Iter 56780: Loss = 0.006363945081830025, lr = [0.0001] +[2024-05-21 03:20:16,239] - INFO: Epoch 569/9999, Iter 56800: Loss = 0.007984102703630924, lr = [0.0001] +[2024-05-21 03:20:31,131] - INFO: Epoch 569/9999, Iter 56820: Loss = 0.01633600704371929, lr = [0.0001] +[2024-05-21 03:20:45,839] - INFO: Epoch 569/9999, Iter 56840: Loss = 0.015836939215660095, lr = [0.0001] +[2024-05-21 03:21:00,596] - INFO: Epoch 569/9999, Iter 56860: Loss = 0.01139373891055584, lr = [0.0001] +[2024-05-21 03:21:15,315] - INFO: Epoch 569/9999, Iter 56880: Loss = 0.010853148996829987, lr = [0.0001] +[2024-05-21 03:21:31,316] - INFO: Epoch 570/9999, Iter 56900: Loss = 0.008773143403232098, lr = [0.0001] +[2024-05-21 03:21:46,122] - INFO: Epoch 570/9999, Iter 56920: Loss = 0.014708745293319225, lr = [0.0001] +[2024-05-21 03:22:01,024] - INFO: Epoch 570/9999, Iter 56940: Loss = 0.01278953067958355, lr = [0.0001] +[2024-05-21 03:22:15,780] - INFO: Epoch 570/9999, Iter 56960: Loss = 0.015842778608202934, lr = [0.0001] +[2024-05-21 03:22:30,573] - INFO: Epoch 570/9999, Iter 56980: Loss = 0.014237700030207634, lr = [0.0001] +[2024-05-21 03:22:45,109] - INFO: Evaluate at epoch 570! +[2024-05-21 03:22:50,662] - INFO: Eval PSNR (max): 37.811 (520) SSIM (max): 0.9602 (515) +[2024-05-21 03:22:50,662] - INFO: Eval PSNR (current): 37.497 (570) SSIM (current): 0.9596 (570) +[2024-05-21 03:22:50,662] - INFO: Evaluation over. +[2024-05-21 03:24:18,929] - INFO: Epoch 571/9999, Iter 57000: Loss = 0.019541392102837563, lr = [0.0001] +[2024-05-21 03:24:33,513] - INFO: Epoch 571/9999, Iter 57020: Loss = 0.013627137057483196, lr = [0.0001] +[2024-05-21 03:24:47,952] - INFO: Epoch 571/9999, Iter 57040: Loss = 0.014338979497551918, lr = [0.0001] +[2024-05-21 03:25:02,455] - INFO: Epoch 571/9999, Iter 57060: Loss = 0.016007089987397194, lr = [0.0001] +[2024-05-21 03:25:16,920] - INFO: Epoch 571/9999, Iter 57080: Loss = 0.007442499976605177, lr = [0.0001] +[2024-05-21 03:25:32,582] - INFO: Epoch 572/9999, Iter 57100: Loss = 0.009654344990849495, lr = [0.0001] +[2024-05-21 03:25:47,165] - INFO: Epoch 572/9999, Iter 57120: Loss = 0.015033186413347721, lr = [0.0001] +[2024-05-21 03:26:01,653] - INFO: Epoch 572/9999, Iter 57140: Loss = 0.008033688180148602, lr = [0.0001] +[2024-05-21 03:26:16,177] - INFO: Epoch 572/9999, Iter 57160: Loss = 0.010323002003133297, lr = [0.0001] +[2024-05-21 03:26:30,768] - INFO: Epoch 572/9999, Iter 57180: Loss = 0.012815575115382671, lr = [0.0001] +[2024-05-21 03:27:22,991] - INFO: Epoch 573/9999, Iter 57200: Loss = 0.016238242387771606, lr = [0.0001] +[2024-05-21 03:27:38,360] - INFO: Epoch 573/9999, Iter 57220: Loss = 0.008227025158703327, lr = [0.0001] +[2024-05-21 03:27:52,773] - INFO: Epoch 573/9999, Iter 57240: Loss = 0.013538746163249016, lr = [0.0001] +[2024-05-21 03:28:07,204] - INFO: Epoch 573/9999, Iter 57260: Loss = 0.02346009761095047, lr = [0.0001] +[2024-05-21 03:28:21,622] - INFO: Epoch 573/9999, Iter 57280: Loss = 0.012946663424372673, lr = [0.0001] +[2024-05-21 03:28:37,568] - INFO: Epoch 574/9999, Iter 57300: Loss = 0.01717398874461651, lr = [0.0001] +[2024-05-21 03:28:52,114] - INFO: Epoch 574/9999, Iter 57320: Loss = 0.014124791137874126, lr = [0.0001] +[2024-05-21 03:29:06,699] - INFO: Epoch 574/9999, Iter 57340: Loss = 0.017338091507554054, lr = [0.0001] +[2024-05-21 03:29:21,312] - INFO: Epoch 574/9999, Iter 57360: Loss = 0.00793602503836155, lr = [0.0001] +[2024-05-21 03:29:35,921] - INFO: Epoch 574/9999, Iter 57380: Loss = 0.011405343189835548, lr = [0.0001] +[2024-05-21 03:29:51,658] - INFO: Epoch 575/9999, Iter 57400: Loss = 0.008657713420689106, lr = [0.0001] +[2024-05-21 03:30:06,264] - INFO: Epoch 575/9999, Iter 57420: Loss = 0.013335547409951687, lr = [0.0001] +[2024-05-21 03:30:20,996] - INFO: Epoch 575/9999, Iter 57440: Loss = 0.017196988686919212, lr = [0.0001] +[2024-05-21 03:30:35,724] - INFO: Epoch 575/9999, Iter 57460: Loss = 0.0088499765843153, lr = [0.0001] +[2024-05-21 03:30:50,384] - INFO: Epoch 575/9999, Iter 57480: Loss = 0.023372817784547806, lr = [0.0001] +[2024-05-21 03:31:04,729] - INFO: Evaluate at epoch 575! +[2024-05-21 03:31:09,798] - INFO: Eval PSNR (max): 37.811 (520) SSIM (max): 0.9602 (515) +[2024-05-21 03:31:09,799] - INFO: Eval PSNR (current): 37.670 (575) SSIM (current): 0.9597 (575) +[2024-05-21 03:31:09,799] - INFO: Evaluation over. +[2024-05-21 03:32:18,390] - INFO: Epoch 576/9999, Iter 57500: Loss = 0.010293346829712391, lr = [0.0001] +[2024-05-21 03:32:32,797] - INFO: Epoch 576/9999, Iter 57520: Loss = 0.016322553157806396, lr = [0.0001] +[2024-05-21 03:32:47,227] - INFO: Epoch 576/9999, Iter 57540: Loss = 0.01533140055835247, lr = [0.0001] +[2024-05-21 03:33:01,628] - INFO: Epoch 576/9999, Iter 57560: Loss = 0.012998593971133232, lr = [0.0001] +[2024-05-21 03:33:16,188] - INFO: Epoch 576/9999, Iter 57580: Loss = 0.012336821295320988, lr = [0.0001] +[2024-05-21 03:33:32,015] - INFO: Epoch 577/9999, Iter 57600: Loss = 0.011860603466629982, lr = [0.0001] +[2024-05-21 03:33:46,691] - INFO: Epoch 577/9999, Iter 57620: Loss = 0.015603170730173588, lr = [0.0001] +[2024-05-21 03:34:01,167] - INFO: Epoch 577/9999, Iter 57640: Loss = 0.009189724922180176, lr = [0.0001] +[2024-05-21 03:34:15,594] - INFO: Epoch 577/9999, Iter 57660: Loss = 0.008301176130771637, lr = [0.0001] +[2024-05-21 03:34:30,137] - INFO: Epoch 577/9999, Iter 57680: Loss = 0.0193975530564785, lr = [0.0001] +[2024-05-21 03:34:45,985] - INFO: Epoch 578/9999, Iter 57700: Loss = 0.01803990639746189, lr = [0.0001] +[2024-05-21 03:35:00,627] - INFO: Epoch 578/9999, Iter 57720: Loss = 0.009777299128472805, lr = [0.0001] +[2024-05-21 03:35:15,364] - INFO: Epoch 578/9999, Iter 57740: Loss = 0.013477342203259468, lr = [0.0001] +[2024-05-21 03:35:29,977] - INFO: Epoch 578/9999, Iter 57760: Loss = 0.018774298951029778, lr = [0.0001] +[2024-05-21 03:35:44,650] - INFO: Epoch 578/9999, Iter 57780: Loss = 0.01887706108391285, lr = [0.0001] +[2024-05-21 03:36:00,601] - INFO: Epoch 579/9999, Iter 57800: Loss = 0.010573464445769787, lr = [0.0001] +[2024-05-21 03:36:15,290] - INFO: Epoch 579/9999, Iter 57820: Loss = 0.009702292270958424, lr = [0.0001] +[2024-05-21 03:36:29,910] - INFO: Epoch 579/9999, Iter 57840: Loss = 0.016463376581668854, lr = [0.0001] +[2024-05-21 03:36:44,612] - INFO: Epoch 579/9999, Iter 57860: Loss = 0.0057726637460291386, lr = [0.0001] +[2024-05-21 03:36:59,312] - INFO: Epoch 579/9999, Iter 57880: Loss = 0.014417058788239956, lr = [0.0001] +[2024-05-21 03:37:15,414] - INFO: Epoch 580/9999, Iter 57900: Loss = 0.012301855720579624, lr = [0.0001] +[2024-05-21 03:37:30,135] - INFO: Epoch 580/9999, Iter 57920: Loss = 0.015591586008667946, lr = [0.0001] +[2024-05-21 03:37:44,939] - INFO: Epoch 580/9999, Iter 57940: Loss = 0.014639989472925663, lr = [0.0001] +[2024-05-21 03:37:59,783] - INFO: Epoch 580/9999, Iter 57960: Loss = 0.01553320325911045, lr = [0.0001] +[2024-05-21 03:38:14,556] - INFO: Epoch 580/9999, Iter 57980: Loss = 0.01321245264261961, lr = [0.0001] +[2024-05-21 03:38:28,999] - INFO: Evaluate at epoch 580! +[2024-05-21 03:38:34,250] - INFO: Eval PSNR (max): 37.811 (520) SSIM (max): 0.9602 (515) +[2024-05-21 03:38:34,250] - INFO: Eval PSNR (current): 37.599 (580) SSIM (current): 0.9593 (580) +[2024-05-21 03:38:34,250] - INFO: Evaluation over. +[2024-05-21 03:39:40,967] - INFO: Epoch 581/9999, Iter 58000: Loss = 0.01048253197222948, lr = [0.0001] +[2024-05-21 03:39:55,438] - INFO: Epoch 581/9999, Iter 58020: Loss = 0.00815985631197691, lr = [0.0001] +[2024-05-21 03:40:09,944] - INFO: Epoch 581/9999, Iter 58040: Loss = 0.01156384777277708, lr = [0.0001] +[2024-05-21 03:40:24,392] - INFO: Epoch 581/9999, Iter 58060: Loss = 0.013361328281462193, lr = [0.0001] +[2024-05-21 03:40:38,792] - INFO: Epoch 581/9999, Iter 58080: Loss = 0.02061929926276207, lr = [0.0001] +[2024-05-21 03:40:56,243] - INFO: Epoch 582/9999, Iter 58100: Loss = 0.012055723927915096, lr = [0.0001] +[2024-05-21 03:41:10,878] - INFO: Epoch 582/9999, Iter 58120: Loss = 0.010126747190952301, lr = [0.0001] +[2024-05-21 03:41:25,415] - INFO: Epoch 582/9999, Iter 58140: Loss = 0.011821608990430832, lr = [0.0001] +[2024-05-21 03:41:39,990] - INFO: Epoch 582/9999, Iter 58160: Loss = 0.014164634048938751, lr = [0.0001] +[2024-05-21 03:41:54,584] - INFO: Epoch 582/9999, Iter 58180: Loss = 0.01796727254986763, lr = [0.0001] +[2024-05-21 03:42:11,222] - INFO: Epoch 583/9999, Iter 58200: Loss = 0.018581461161375046, lr = [0.0001] +[2024-05-21 03:42:25,960] - INFO: Epoch 583/9999, Iter 58220: Loss = 0.020625097677111626, lr = [0.0001] +[2024-05-21 03:42:40,697] - INFO: Epoch 583/9999, Iter 58240: Loss = 0.011843107640743256, lr = [0.0001] +[2024-05-21 03:42:55,604] - INFO: Epoch 583/9999, Iter 58260: Loss = 0.006516289431601763, lr = [0.0001] +[2024-05-21 03:43:10,498] - INFO: Epoch 583/9999, Iter 58280: Loss = 0.02147597260773182, lr = [0.0001] +[2024-05-21 03:43:26,658] - INFO: Epoch 584/9999, Iter 58300: Loss = 0.013024051673710346, lr = [0.0001] +[2024-05-21 03:43:41,458] - INFO: Epoch 584/9999, Iter 58320: Loss = 0.01674242876470089, lr = [0.0001] +[2024-05-21 03:43:56,240] - INFO: Epoch 584/9999, Iter 58340: Loss = 0.02387339621782303, lr = [0.0001] +[2024-05-21 03:44:10,992] - INFO: Epoch 584/9999, Iter 58360: Loss = 0.006898688152432442, lr = [0.0001] +[2024-05-21 03:44:25,796] - INFO: Epoch 584/9999, Iter 58380: Loss = 0.014471016824245453, lr = [0.0001] +[2024-05-21 03:44:41,847] - INFO: Epoch 585/9999, Iter 58400: Loss = 0.012133295647799969, lr = [0.0001] +[2024-05-21 03:44:56,808] - INFO: Epoch 585/9999, Iter 58420: Loss = 0.018005644902586937, lr = [0.0001] +[2024-05-21 03:45:11,601] - INFO: Epoch 585/9999, Iter 58440: Loss = 0.011506447568535805, lr = [0.0001] +[2024-05-21 03:45:26,380] - INFO: Epoch 585/9999, Iter 58460: Loss = 0.023007869720458984, lr = [0.0001] +[2024-05-21 03:45:41,172] - INFO: Epoch 585/9999, Iter 58480: Loss = 0.00838746502995491, lr = [0.0001] +[2024-05-21 03:45:55,604] - INFO: Evaluate at epoch 585! +[2024-05-21 03:46:00,759] - INFO: Eval PSNR (max): 37.811 (520) SSIM (max): 0.9602 (515) +[2024-05-21 03:46:00,759] - INFO: Eval PSNR (current): 37.577 (585) SSIM (current): 0.9594 (585) +[2024-05-21 03:46:00,759] - INFO: Evaluation over. +[2024-05-21 03:47:11,617] - INFO: Epoch 586/9999, Iter 58500: Loss = 0.007924227975308895, lr = [0.0001] +[2024-05-21 03:47:26,348] - INFO: Epoch 586/9999, Iter 58520: Loss = 0.017590858042240143, lr = [0.0001] +[2024-05-21 03:47:41,094] - INFO: Epoch 586/9999, Iter 58540: Loss = 0.02427476830780506, lr = [0.0001] +[2024-05-21 03:47:55,575] - INFO: Epoch 586/9999, Iter 58560: Loss = 0.0099850008264184, lr = [0.0001] +[2024-05-21 03:48:10,147] - INFO: Epoch 586/9999, Iter 58580: Loss = 0.015308897010982037, lr = [0.0001] +[2024-05-21 03:48:25,965] - INFO: Epoch 587/9999, Iter 58600: Loss = 0.01205572672188282, lr = [0.0001] +[2024-05-21 03:48:40,626] - INFO: Epoch 587/9999, Iter 58620: Loss = 0.016649186611175537, lr = [0.0001] +[2024-05-21 03:48:55,248] - INFO: Epoch 587/9999, Iter 58640: Loss = 0.010445280000567436, lr = [0.0001] +[2024-05-21 03:49:09,870] - INFO: Epoch 587/9999, Iter 58660: Loss = 0.017583558335900307, lr = [0.0001] +[2024-05-21 03:49:24,528] - INFO: Epoch 587/9999, Iter 58680: Loss = 0.017012925818562508, lr = [0.0001] +[2024-05-21 03:49:40,483] - INFO: Epoch 588/9999, Iter 58700: Loss = 0.025918960571289062, lr = [0.0001] +[2024-05-21 03:49:55,624] - INFO: Epoch 588/9999, Iter 58720: Loss = 0.013787331059575081, lr = [0.0001] +[2024-05-21 03:50:10,314] - INFO: Epoch 588/9999, Iter 58740: Loss = 0.019472850486636162, lr = [0.0001] +[2024-05-21 03:50:25,095] - INFO: Epoch 588/9999, Iter 58760: Loss = 0.01933196559548378, lr = [0.0001] +[2024-05-21 03:50:39,800] - INFO: Epoch 588/9999, Iter 58780: Loss = 0.010041405446827412, lr = [0.0001] +[2024-05-21 03:50:55,839] - INFO: Epoch 589/9999, Iter 58800: Loss = 0.018251027911901474, lr = [0.0001] +[2024-05-21 03:51:10,636] - INFO: Epoch 589/9999, Iter 58820: Loss = 0.014377434737980366, lr = [0.0001] +[2024-05-21 03:51:25,369] - INFO: Epoch 589/9999, Iter 58840: Loss = 0.012823522090911865, lr = [0.0001] +[2024-05-21 03:51:40,190] - INFO: Epoch 589/9999, Iter 58860: Loss = 0.011837504804134369, lr = [0.0001] +[2024-05-21 03:51:55,014] - INFO: Epoch 589/9999, Iter 58880: Loss = 0.010960731655359268, lr = [0.0001] +[2024-05-21 03:52:11,436] - INFO: Epoch 590/9999, Iter 58900: Loss = 0.01144125871360302, lr = [0.0001] +[2024-05-21 03:52:26,360] - INFO: Epoch 590/9999, Iter 58920: Loss = 0.0107388561591506, lr = [0.0001] +[2024-05-21 03:52:41,147] - INFO: Epoch 590/9999, Iter 58940: Loss = 0.013200318440794945, lr = [0.0001] +[2024-05-21 03:52:56,054] - INFO: Epoch 590/9999, Iter 58960: Loss = 0.019952721893787384, lr = [0.0001] +[2024-05-21 03:53:10,852] - INFO: Epoch 590/9999, Iter 58980: Loss = 0.00926593504846096, lr = [0.0001] +[2024-05-21 03:53:25,308] - INFO: Evaluate at epoch 590! +[2024-05-21 03:53:30,483] - INFO: Eval PSNR (max): 37.811 (520) SSIM (max): 0.9602 (515) +[2024-05-21 03:53:30,483] - INFO: Eval PSNR (current): 37.791 (590) SSIM (current): 0.9599 (590) +[2024-05-21 03:53:30,483] - INFO: Evaluation over. +[2024-05-21 03:54:41,476] - INFO: Epoch 591/9999, Iter 59000: Loss = 0.010511999018490314, lr = [0.0001] +[2024-05-21 03:54:56,156] - INFO: Epoch 591/9999, Iter 59020: Loss = 0.008897809311747551, lr = [0.0001] +[2024-05-21 03:55:10,903] - INFO: Epoch 591/9999, Iter 59040: Loss = 0.010518647730350494, lr = [0.0001] +[2024-05-21 03:55:25,439] - INFO: Epoch 591/9999, Iter 59060: Loss = 0.016847897320985794, lr = [0.0001] +[2024-05-21 03:55:39,934] - INFO: Epoch 591/9999, Iter 59080: Loss = 0.01070786640048027, lr = [0.0001] +[2024-05-21 03:55:56,068] - INFO: Epoch 592/9999, Iter 59100: Loss = 0.012707012705504894, lr = [0.0001] +[2024-05-21 03:56:10,661] - INFO: Epoch 592/9999, Iter 59120: Loss = 0.008641256019473076, lr = [0.0001] +[2024-05-21 03:56:25,229] - INFO: Epoch 592/9999, Iter 59140: Loss = 0.015180164016783237, lr = [0.0001] +[2024-05-21 03:56:39,805] - INFO: Epoch 592/9999, Iter 59160: Loss = 0.007787056267261505, lr = [0.0001] +[2024-05-21 03:56:54,393] - INFO: Epoch 592/9999, Iter 59180: Loss = 0.013176274485886097, lr = [0.0001] +[2024-05-21 03:57:10,476] - INFO: Epoch 593/9999, Iter 59200: Loss = 0.011749927885830402, lr = [0.0001] +[2024-05-21 03:57:25,170] - INFO: Epoch 593/9999, Iter 59220: Loss = 0.013555707409977913, lr = [0.0001] +[2024-05-21 03:57:39,860] - INFO: Epoch 593/9999, Iter 59240: Loss = 0.0189858078956604, lr = [0.0001] +[2024-05-21 03:57:54,550] - INFO: Epoch 593/9999, Iter 59260: Loss = 0.010765768587589264, lr = [0.0001] +[2024-05-21 03:58:09,412] - INFO: Epoch 593/9999, Iter 59280: Loss = 0.01780378445982933, lr = [0.0001] +[2024-05-21 03:58:25,312] - INFO: Epoch 594/9999, Iter 59300: Loss = 0.015572754666209221, lr = [0.0001] +[2024-05-21 03:58:40,088] - INFO: Epoch 594/9999, Iter 59320: Loss = 0.014492262154817581, lr = [0.0001] +[2024-05-21 03:58:54,902] - INFO: Epoch 594/9999, Iter 59340: Loss = 0.017665620893239975, lr = [0.0001] +[2024-05-21 03:59:09,696] - INFO: Epoch 594/9999, Iter 59360: Loss = 0.01182603184133768, lr = [0.0001] +[2024-05-21 03:59:24,446] - INFO: Epoch 594/9999, Iter 59380: Loss = 0.017141880467534065, lr = [0.0001] +[2024-05-21 03:59:40,514] - INFO: Epoch 595/9999, Iter 59400: Loss = 0.01557130180299282, lr = [0.0001] +[2024-05-21 03:59:55,317] - INFO: Epoch 595/9999, Iter 59420: Loss = 0.023218531161546707, lr = [0.0001] +[2024-05-21 04:00:10,071] - INFO: Epoch 595/9999, Iter 59440: Loss = 0.008021306246519089, lr = [0.0001] +[2024-05-21 04:02:37,179] - INFO: Epoch 595/9999, Iter 59460: Loss = 0.013409877195954323, lr = [0.0001] +[2024-05-21 04:02:51,615] - INFO: Epoch 595/9999, Iter 59480: Loss = 0.015728730708360672, lr = [0.0001] +[2024-05-21 04:03:05,655] - INFO: Evaluate at epoch 595! +[2024-05-21 04:03:10,744] - INFO: Eval PSNR (max): 37.811 (520) SSIM (max): 0.9602 (515) +[2024-05-21 04:03:10,744] - INFO: Eval PSNR (current): 37.531 (595) SSIM (current): 0.9590 (595) +[2024-05-21 04:03:10,744] - INFO: Evaluation over. +[2024-05-21 04:04:18,783] - INFO: Epoch 596/9999, Iter 59500: Loss = 0.008891803212463856, lr = [0.0001] +[2024-05-21 04:04:33,303] - INFO: Epoch 596/9999, Iter 59520: Loss = 0.021066701039671898, lr = [0.0001] +[2024-05-21 04:04:47,627] - INFO: Epoch 596/9999, Iter 59540: Loss = 0.007954924367368221, lr = [0.0001] +[2024-05-21 04:05:02,028] - INFO: Epoch 596/9999, Iter 59560: Loss = 0.013711394742131233, lr = [0.0001] +[2024-05-21 04:05:16,396] - INFO: Epoch 596/9999, Iter 59580: Loss = 0.01622404158115387, lr = [0.0001] +[2024-05-21 04:05:32,002] - INFO: Epoch 597/9999, Iter 59600: Loss = 0.01174114365130663, lr = [0.0001] +[2024-05-21 04:05:46,612] - INFO: Epoch 597/9999, Iter 59620: Loss = 0.01019203756004572, lr = [0.0001] +[2024-05-21 04:06:01,156] - INFO: Epoch 597/9999, Iter 59640: Loss = 0.012865991331636906, lr = [0.0001] +[2024-05-21 04:06:15,554] - INFO: Epoch 597/9999, Iter 59660: Loss = 0.016386868432164192, lr = [0.0001] +[2024-05-21 04:06:29,969] - INFO: Epoch 597/9999, Iter 59680: Loss = 0.020727278664708138, lr = [0.0001] +[2024-05-21 04:06:45,691] - INFO: Epoch 598/9999, Iter 59700: Loss = 0.02016984298825264, lr = [0.0001] +[2024-05-21 04:07:00,384] - INFO: Epoch 598/9999, Iter 59720: Loss = 0.013042415492236614, lr = [0.0001] +[2024-05-21 04:07:14,912] - INFO: Epoch 598/9999, Iter 59740: Loss = 0.013648809865117073, lr = [0.0001] +[2024-05-21 04:07:29,443] - INFO: Epoch 598/9999, Iter 59760: Loss = 0.013459566980600357, lr = [0.0001] +[2024-05-21 04:07:44,129] - INFO: Epoch 598/9999, Iter 59780: Loss = 0.013184390030801296, lr = [0.0001] +[2024-05-21 04:08:00,255] - INFO: Epoch 599/9999, Iter 59800: Loss = 0.012439374811947346, lr = [0.0001] +[2024-05-21 04:08:14,928] - INFO: Epoch 599/9999, Iter 59820: Loss = 0.011134473606944084, lr = [0.0001] +[2024-05-21 04:08:29,612] - INFO: Epoch 599/9999, Iter 59840: Loss = 0.01568121463060379, lr = [0.0001] +[2024-05-21 04:08:44,363] - INFO: Epoch 599/9999, Iter 59860: Loss = 0.009575600735843182, lr = [0.0001] +[2024-05-21 04:08:59,130] - INFO: Epoch 599/9999, Iter 59880: Loss = 0.013463780283927917, lr = [0.0001] +[2024-05-21 04:09:15,268] - INFO: Epoch 600/9999, Iter 59900: Loss = 0.0101472157984972, lr = [0.0001] +[2024-05-21 04:09:30,072] - INFO: Epoch 600/9999, Iter 59920: Loss = 0.021641118451952934, lr = [0.0001] +[2024-05-21 04:09:44,941] - INFO: Epoch 600/9999, Iter 59940: Loss = 0.016338394954800606, lr = [0.0001] +[2024-05-21 04:09:59,712] - INFO: Epoch 600/9999, Iter 59960: Loss = 0.02188369818031788, lr = [0.0001] +[2024-05-21 04:10:14,456] - INFO: Epoch 600/9999, Iter 59980: Loss = 0.01308004092425108, lr = [0.0001] +[2024-05-21 04:10:28,908] - INFO: Evaluate at epoch 600! +[2024-05-21 04:10:33,987] - INFO: Eval PSNR (max): 37.811 (520) SSIM (max): 0.9602 (515) +[2024-05-21 04:10:33,988] - INFO: Eval PSNR (current): 37.609 (600) SSIM (current): 0.9594 (600) +[2024-05-21 04:10:33,988] - INFO: Evaluation over. +[2024-05-21 04:11:43,272] - INFO: Epoch 601/9999, Iter 60000: Loss = 0.0077184089459478855, lr = [0.0001] +[2024-05-21 04:11:57,644] - INFO: Epoch 601/9999, Iter 60020: Loss = 0.011463399045169353, lr = [0.0001] +[2024-05-21 04:12:12,066] - INFO: Epoch 601/9999, Iter 60040: Loss = 0.011360411532223225, lr = [0.0001] +[2024-05-21 04:12:26,528] - INFO: Epoch 601/9999, Iter 60060: Loss = 0.01305109728127718, lr = [0.0001] +[2024-05-21 04:12:41,200] - INFO: Epoch 601/9999, Iter 60080: Loss = 0.009179489687085152, lr = [0.0001] +[2024-05-21 04:12:57,120] - INFO: Epoch 602/9999, Iter 60100: Loss = 0.013474050909280777, lr = [0.0001] +[2024-05-21 04:13:11,764] - INFO: Epoch 602/9999, Iter 60120: Loss = 0.014102371409535408, lr = [0.0001] +[2024-05-21 04:13:26,327] - INFO: Epoch 602/9999, Iter 60140: Loss = 0.010253564454615116, lr = [0.0001] +[2024-05-21 04:13:40,921] - INFO: Epoch 602/9999, Iter 60160: Loss = 0.020002180710434914, lr = [0.0001] +[2024-05-21 04:14:24,197] - INFO: Epoch 602/9999, Iter 60180: Loss = 0.01027551107108593, lr = [0.0001] +[2024-05-21 04:14:53,750] - INFO: Epoch 603/9999, Iter 60200: Loss = 0.022953886538743973, lr = [0.0001] +[2024-05-21 04:15:08,210] - INFO: Epoch 603/9999, Iter 60220: Loss = 0.020999392494559288, lr = [0.0001] +[2024-05-21 04:15:22,738] - INFO: Epoch 603/9999, Iter 60240: Loss = 0.013339272700250149, lr = [0.0001] +[2024-05-21 04:15:37,195] - INFO: Epoch 603/9999, Iter 60260: Loss = 0.013274310156702995, lr = [0.0001] +[2024-05-21 04:16:10,680] - INFO: Epoch 603/9999, Iter 60280: Loss = 0.006776012480258942, lr = [0.0001] +[2024-05-21 04:16:42,645] - INFO: Epoch 604/9999, Iter 60300: Loss = 0.017931083217263222, lr = [0.0001] +[2024-05-21 04:16:57,110] - INFO: Epoch 604/9999, Iter 60320: Loss = 0.014983832836151123, lr = [0.0001] +[2024-05-21 04:17:11,704] - INFO: Epoch 604/9999, Iter 60340: Loss = 0.024873889982700348, lr = [0.0001] +[2024-05-21 04:17:26,359] - INFO: Epoch 604/9999, Iter 60360: Loss = 0.016422562301158905, lr = [0.0001] +[2024-05-21 04:17:40,805] - INFO: Epoch 604/9999, Iter 60380: Loss = 0.016306616365909576, lr = [0.0001] +[2024-05-21 04:17:56,639] - INFO: Epoch 605/9999, Iter 60400: Loss = 0.02556738629937172, lr = [0.0001] +[2024-05-21 04:18:11,186] - INFO: Epoch 605/9999, Iter 60420: Loss = 0.01032501831650734, lr = [0.0001] +[2024-05-21 04:18:25,820] - INFO: Epoch 605/9999, Iter 60440: Loss = 0.010034441016614437, lr = [0.0001] +[2024-05-21 04:18:40,451] - INFO: Epoch 605/9999, Iter 60460: Loss = 0.023492397740483284, lr = [0.0001] +[2024-05-21 04:18:55,100] - INFO: Epoch 605/9999, Iter 60480: Loss = 0.011360220611095428, lr = [0.0001] +[2024-05-21 04:19:09,542] - INFO: Evaluate at epoch 605! +[2024-05-21 04:19:14,507] - INFO: Eval PSNR (max): 37.811 (520) SSIM (max): 0.9602 (515) +[2024-05-21 04:19:14,507] - INFO: Eval PSNR (current): 37.701 (605) SSIM (current): 0.9597 (605) +[2024-05-21 04:19:14,508] - INFO: Evaluation over. +[2024-05-21 04:20:52,248] - INFO: Epoch 606/9999, Iter 60500: Loss = 0.012131924740970135, lr = [0.0001] +[2024-05-21 04:21:06,479] - INFO: Epoch 606/9999, Iter 60520: Loss = 0.011609737761318684, lr = [0.0001] +[2024-05-21 04:21:21,601] - INFO: Epoch 606/9999, Iter 60540: Loss = 0.012061740271747112, lr = [0.0001] +[2024-05-21 04:21:36,012] - INFO: Epoch 606/9999, Iter 60560: Loss = 0.011240941472351551, lr = [0.0001] +[2024-05-21 04:21:50,408] - INFO: Epoch 606/9999, Iter 60580: Loss = 0.016795283183455467, lr = [0.0001] +[2024-05-21 04:22:06,157] - INFO: Epoch 607/9999, Iter 60600: Loss = 0.01736055500805378, lr = [0.0001] +[2024-05-21 04:22:20,829] - INFO: Epoch 607/9999, Iter 60620: Loss = 0.009370346553623676, lr = [0.0001] +[2024-05-21 04:22:35,243] - INFO: Epoch 607/9999, Iter 60640: Loss = 0.010389153845608234, lr = [0.0001] +[2024-05-21 04:22:49,773] - INFO: Epoch 607/9999, Iter 60660: Loss = 0.02812035381793976, lr = [0.0001] +[2024-05-21 04:23:04,352] - INFO: Epoch 607/9999, Iter 60680: Loss = 0.021158168092370033, lr = [0.0001] +[2024-05-21 04:23:20,242] - INFO: Epoch 608/9999, Iter 60700: Loss = 0.016255978494882584, lr = [0.0001] +[2024-05-21 04:23:34,858] - INFO: Epoch 608/9999, Iter 60720: Loss = 0.018439149484038353, lr = [0.0001] +[2024-05-21 04:23:49,420] - INFO: Epoch 608/9999, Iter 60740: Loss = 0.010803968645632267, lr = [0.0001] +[2024-05-21 04:24:04,032] - INFO: Epoch 608/9999, Iter 60760: Loss = 0.01986848935484886, lr = [0.0001] +[2024-05-21 04:24:18,722] - INFO: Epoch 608/9999, Iter 60780: Loss = 0.017993174493312836, lr = [0.0001] +[2024-05-21 04:24:34,733] - INFO: Epoch 609/9999, Iter 60800: Loss = 0.013604627922177315, lr = [0.0001] +[2024-05-21 04:24:49,487] - INFO: Epoch 609/9999, Iter 60820: Loss = 0.012978337705135345, lr = [0.0001] +[2024-05-21 04:25:04,234] - INFO: Epoch 609/9999, Iter 60840: Loss = 0.0134044224396348, lr = [0.0001] +[2024-05-21 04:25:20,184] - INFO: Epoch 609/9999, Iter 60860: Loss = 0.006135425064712763, lr = [0.0001] +[2024-05-21 04:25:37,841] - INFO: Epoch 609/9999, Iter 60880: Loss = 0.011676282621920109, lr = [0.0001] +[2024-05-21 04:25:54,224] - INFO: Epoch 610/9999, Iter 60900: Loss = 0.01459080632776022, lr = [0.0001] +[2024-05-21 04:26:09,022] - INFO: Epoch 610/9999, Iter 60920: Loss = 0.014486958272755146, lr = [0.0001] +[2024-05-21 04:26:23,763] - INFO: Epoch 610/9999, Iter 60940: Loss = 0.007143548224121332, lr = [0.0001] +[2024-05-21 04:26:38,536] - INFO: Epoch 610/9999, Iter 60960: Loss = 0.02042049914598465, lr = [0.0001] +[2024-05-21 04:26:53,395] - INFO: Epoch 610/9999, Iter 60980: Loss = 0.010084242559969425, lr = [0.0001] +[2024-05-21 04:27:07,852] - INFO: Evaluate at epoch 610! +[2024-05-21 04:27:12,799] - INFO: Eval PSNR (max): 37.811 (520) SSIM (max): 0.9602 (515) +[2024-05-21 04:27:12,799] - INFO: Eval PSNR (current): 37.518 (610) SSIM (current): 0.9588 (610) +[2024-05-21 04:27:12,799] - INFO: Evaluation over. +[2024-05-21 04:27:58,988] - INFO: Epoch 611/9999, Iter 61000: Loss = 0.018983347341418266, lr = [0.0001] +[2024-05-21 04:28:13,453] - INFO: Epoch 611/9999, Iter 61020: Loss = 0.009329193271696568, lr = [0.0001] +[2024-05-21 04:28:27,961] - INFO: Epoch 611/9999, Iter 61040: Loss = 0.008780417963862419, lr = [0.0001] +[2024-05-21 04:28:42,418] - INFO: Epoch 611/9999, Iter 61060: Loss = 0.013187727890908718, lr = [0.0001] +[2024-05-21 04:28:56,903] - INFO: Epoch 611/9999, Iter 61080: Loss = 0.017538145184516907, lr = [0.0001] +[2024-05-21 04:29:12,820] - INFO: Epoch 612/9999, Iter 61100: Loss = 0.012410031631588936, lr = [0.0001] +[2024-05-21 04:29:27,437] - INFO: Epoch 612/9999, Iter 61120: Loss = 0.014665823429822922, lr = [0.0001] +[2024-05-21 04:29:42,129] - INFO: Epoch 612/9999, Iter 61140: Loss = 0.008375546894967556, lr = [0.0001] +[2024-05-21 04:29:56,825] - INFO: Epoch 612/9999, Iter 61160: Loss = 0.011769415810704231, lr = [0.0001] +[2024-05-21 04:30:11,472] - INFO: Epoch 612/9999, Iter 61180: Loss = 0.023171110078692436, lr = [0.0001] +[2024-05-21 04:30:27,375] - INFO: Epoch 613/9999, Iter 61200: Loss = 0.013826990500092506, lr = [0.0001] +[2024-05-21 04:30:42,065] - INFO: Epoch 613/9999, Iter 61220: Loss = 0.01120853517204523, lr = [0.0001] +[2024-05-21 04:30:56,736] - INFO: Epoch 613/9999, Iter 61240: Loss = 0.012290417216718197, lr = [0.0001] +[2024-05-21 04:31:11,452] - INFO: Epoch 613/9999, Iter 61260: Loss = 0.010742896236479282, lr = [0.0001] +[2024-05-21 04:31:26,222] - INFO: Epoch 613/9999, Iter 61280: Loss = 0.012125276029109955, lr = [0.0001] +[2024-05-21 04:31:42,506] - INFO: Epoch 614/9999, Iter 61300: Loss = 0.017038816586136818, lr = [0.0001] +[2024-05-21 04:31:57,337] - INFO: Epoch 614/9999, Iter 61320: Loss = 0.02212546579539776, lr = [0.0001] +[2024-05-21 04:32:12,116] - INFO: Epoch 614/9999, Iter 61340: Loss = 0.017513500526547432, lr = [0.0001] +[2024-05-21 04:32:26,894] - INFO: Epoch 614/9999, Iter 61360: Loss = 0.01572355255484581, lr = [0.0001] +[2024-05-21 04:32:41,736] - INFO: Epoch 614/9999, Iter 61380: Loss = 0.008186087012290955, lr = [0.0001] +[2024-05-21 04:32:57,714] - INFO: Epoch 615/9999, Iter 61400: Loss = 0.009410993196070194, lr = [0.0001] +[2024-05-21 04:33:12,574] - INFO: Epoch 615/9999, Iter 61420: Loss = 0.01939411461353302, lr = [0.0001] +[2024-05-21 04:33:27,311] - INFO: Epoch 615/9999, Iter 61440: Loss = 0.012037566863000393, lr = [0.0001] +[2024-05-21 04:33:42,049] - INFO: Epoch 615/9999, Iter 61460: Loss = 0.010939192958176136, lr = [0.0001] +[2024-05-21 04:33:56,772] - INFO: Epoch 615/9999, Iter 61480: Loss = 0.015549300238490105, lr = [0.0001] +[2024-05-21 04:34:11,130] - INFO: Evaluate at epoch 615! +[2024-05-21 04:34:16,579] - INFO: Eval PSNR (max): 37.811 (520) SSIM (max): 0.9602 (515) +[2024-05-21 04:34:16,579] - INFO: Eval PSNR (current): 37.722 (615) SSIM (current): 0.9599 (615) +[2024-05-21 04:34:16,579] - INFO: Evaluation over. +[2024-05-21 04:35:01,313] - INFO: Epoch 616/9999, Iter 61500: Loss = 0.008602757006883621, lr = [0.0001] +[2024-05-21 04:35:16,068] - INFO: Epoch 616/9999, Iter 61520: Loss = 0.016387060284614563, lr = [0.0001] +[2024-05-21 04:35:30,646] - INFO: Epoch 616/9999, Iter 61540: Loss = 0.012858477421104908, lr = [0.0001] +[2024-05-21 04:35:45,162] - INFO: Epoch 616/9999, Iter 61560: Loss = 0.005766086746007204, lr = [0.0001] +[2024-05-21 04:35:59,675] - INFO: Epoch 616/9999, Iter 61580: Loss = 0.00882358755916357, lr = [0.0001] +[2024-05-21 04:36:15,400] - INFO: Epoch 617/9999, Iter 61600: Loss = 0.018025116994976997, lr = [0.0001] +[2024-05-21 04:36:29,876] - INFO: Epoch 617/9999, Iter 61620: Loss = 0.02413969114422798, lr = [0.0001] +[2024-05-21 04:36:44,437] - INFO: Epoch 617/9999, Iter 61640: Loss = 0.005878195632249117, lr = [0.0001] +[2024-05-21 04:36:59,043] - INFO: Epoch 617/9999, Iter 61660: Loss = 0.015553448349237442, lr = [0.0001] +[2024-05-21 04:37:14,650] - INFO: Epoch 617/9999, Iter 61680: Loss = 0.013076337054371834, lr = [0.0001] +[2024-05-21 04:37:30,871] - INFO: Epoch 618/9999, Iter 61700: Loss = 0.015985121950507164, lr = [0.0001] +[2024-05-21 04:37:45,780] - INFO: Epoch 618/9999, Iter 61720: Loss = 0.013556065037846565, lr = [0.0001] +[2024-05-21 04:38:00,400] - INFO: Epoch 618/9999, Iter 61740: Loss = 0.010516250506043434, lr = [0.0001] +[2024-05-21 04:38:15,128] - INFO: Epoch 618/9999, Iter 61760: Loss = 0.0182151198387146, lr = [0.0001] +[2024-05-21 04:38:29,876] - INFO: Epoch 618/9999, Iter 61780: Loss = 0.015277099795639515, lr = [0.0001] +[2024-05-21 04:38:45,916] - INFO: Epoch 619/9999, Iter 61800: Loss = 0.01149060484021902, lr = [0.0001] +[2024-05-21 04:39:00,738] - INFO: Epoch 619/9999, Iter 61820: Loss = 0.015446762554347515, lr = [0.0001] +[2024-05-21 04:39:15,442] - INFO: Epoch 619/9999, Iter 61840: Loss = 0.012350569479167461, lr = [0.0001] +[2024-05-21 04:39:30,295] - INFO: Epoch 619/9999, Iter 61860: Loss = 0.01503718551248312, lr = [0.0001] +[2024-05-21 04:39:45,054] - INFO: Epoch 619/9999, Iter 61880: Loss = 0.017041709274053574, lr = [0.0001] +[2024-05-21 04:41:08,602] - INFO: Epoch 620/9999, Iter 61900: Loss = 0.018283786252141, lr = [0.0001] +[2024-05-21 04:41:23,416] - INFO: Epoch 620/9999, Iter 61920: Loss = 0.016821201890707016, lr = [0.0001] +[2024-05-21 04:41:37,862] - INFO: Epoch 620/9999, Iter 61940: Loss = 0.011771641671657562, lr = [0.0001] +[2024-05-21 04:41:52,318] - INFO: Epoch 620/9999, Iter 61960: Loss = 0.012823773548007011, lr = [0.0001] +[2024-05-21 04:42:06,809] - INFO: Epoch 620/9999, Iter 61980: Loss = 0.014907458797097206, lr = [0.0001] +[2024-05-21 04:42:21,002] - INFO: Evaluate at epoch 620! +[2024-05-21 04:42:26,264] - INFO: Eval PSNR (max): 37.811 (520) SSIM (max): 0.9602 (515) +[2024-05-21 04:42:26,264] - INFO: Eval PSNR (current): 37.456 (620) SSIM (current): 0.9589 (620) +[2024-05-21 04:42:26,264] - INFO: Evaluation over. +[2024-05-21 04:47:26,208] - INFO: Epoch 621/9999, Iter 62000: Loss = 0.012170211412012577, lr = [0.0001] +[2024-05-21 04:47:40,383] - INFO: Epoch 621/9999, Iter 62020: Loss = 0.017841126769781113, lr = [0.0001] +[2024-05-21 04:47:54,859] - INFO: Epoch 621/9999, Iter 62040: Loss = 0.014582245610654354, lr = [0.0001] +[2024-05-21 04:48:09,220] - INFO: Epoch 621/9999, Iter 62060: Loss = 0.01914348267018795, lr = [0.0001] +[2024-05-21 04:48:23,600] - INFO: Epoch 621/9999, Iter 62080: Loss = 0.01016125176101923, lr = [0.0001] +[2024-05-21 04:48:39,185] - INFO: Epoch 622/9999, Iter 62100: Loss = 0.010606013238430023, lr = [0.0001] +[2024-05-21 04:48:53,625] - INFO: Epoch 622/9999, Iter 62120: Loss = 0.014096873812377453, lr = [0.0001] +[2024-05-21 04:49:08,028] - INFO: Epoch 622/9999, Iter 62140: Loss = 0.006263551767915487, lr = [0.0001] +[2024-05-21 04:49:22,496] - INFO: Epoch 622/9999, Iter 62160: Loss = 0.010419368743896484, lr = [0.0001] +[2024-05-21 04:49:37,000] - INFO: Epoch 622/9999, Iter 62180: Loss = 0.01735706999897957, lr = [0.0001] +[2024-05-21 04:49:52,956] - INFO: Epoch 623/9999, Iter 62200: Loss = 0.007874137721955776, lr = [0.0001] +[2024-05-21 04:50:07,488] - INFO: Epoch 623/9999, Iter 62220: Loss = 0.010975224897265434, lr = [0.0001] +[2024-05-21 04:50:22,048] - INFO: Epoch 623/9999, Iter 62240: Loss = 0.017942972481250763, lr = [0.0001] +[2024-05-21 04:50:36,692] - INFO: Epoch 623/9999, Iter 62260: Loss = 0.022372832521796227, lr = [0.0001] +[2024-05-21 04:50:51,360] - INFO: Epoch 623/9999, Iter 62280: Loss = 0.018184909597039223, lr = [0.0001] +[2024-05-21 04:51:07,309] - INFO: Epoch 624/9999, Iter 62300: Loss = 0.01780429296195507, lr = [0.0001] +[2024-05-21 04:51:21,964] - INFO: Epoch 624/9999, Iter 62320: Loss = 0.01587819494307041, lr = [0.0001] +[2024-05-21 04:51:36,626] - INFO: Epoch 624/9999, Iter 62340: Loss = 0.009073241613805294, lr = [0.0001] +[2024-05-21 04:51:51,312] - INFO: Epoch 624/9999, Iter 62360: Loss = 0.017484677955508232, lr = [0.0001] +[2024-05-21 04:52:06,102] - INFO: Epoch 624/9999, Iter 62380: Loss = 0.008796978741884232, lr = [0.0001] +[2024-05-21 04:52:22,068] - INFO: Epoch 625/9999, Iter 62400: Loss = 0.009407431818544865, lr = [0.0001] +[2024-05-21 04:52:36,847] - INFO: Epoch 625/9999, Iter 62420: Loss = 0.023939529433846474, lr = [0.0001] +[2024-05-21 04:52:51,747] - INFO: Epoch 625/9999, Iter 62440: Loss = 0.01221605483442545, lr = [0.0001] +[2024-05-21 04:53:06,530] - INFO: Epoch 625/9999, Iter 62460: Loss = 0.009960311464965343, lr = [0.0001] +[2024-05-21 04:53:21,457] - INFO: Epoch 625/9999, Iter 62480: Loss = 0.008934833109378815, lr = [0.0001] +[2024-05-21 04:53:35,901] - INFO: Evaluate at epoch 625! +[2024-05-21 04:53:41,021] - INFO: Eval PSNR (max): 37.811 (520) SSIM (max): 0.9602 (515) +[2024-05-21 04:53:41,021] - INFO: Eval PSNR (current): 37.517 (625) SSIM (current): 0.9598 (625) +[2024-05-21 04:53:41,021] - INFO: Evaluation over. +[2024-05-21 04:54:50,328] - INFO: Epoch 626/9999, Iter 62500: Loss = 0.013354886323213577, lr = [0.0001] +[2024-05-21 04:55:04,724] - INFO: Epoch 626/9999, Iter 62520: Loss = 0.01268926914781332, lr = [0.0001] +[2024-05-21 04:55:19,234] - INFO: Epoch 626/9999, Iter 62540: Loss = 0.014703423716127872, lr = [0.0001] +[2024-05-21 04:55:33,727] - INFO: Epoch 626/9999, Iter 62560: Loss = 0.011708945967257023, lr = [0.0001] +[2024-05-21 04:55:48,166] - INFO: Epoch 626/9999, Iter 62580: Loss = 0.02763676829636097, lr = [0.0001] +[2024-05-21 04:56:04,035] - INFO: Epoch 627/9999, Iter 62600: Loss = 0.011416351422667503, lr = [0.0001] +[2024-05-21 04:56:18,600] - INFO: Epoch 627/9999, Iter 62620: Loss = 0.0276274885982275, lr = [0.0001] +[2024-05-21 04:56:33,189] - INFO: Epoch 627/9999, Iter 62640: Loss = 0.009265922009944916, lr = [0.0001] +[2024-05-21 04:56:47,797] - INFO: Epoch 627/9999, Iter 62660: Loss = 0.017320837825536728, lr = [0.0001] +[2024-05-21 04:57:02,440] - INFO: Epoch 627/9999, Iter 62680: Loss = 0.018705865368247032, lr = [0.0001] +[2024-05-21 04:57:18,499] - INFO: Epoch 628/9999, Iter 62700: Loss = 0.01100543886423111, lr = [0.0001] +[2024-05-21 04:57:33,236] - INFO: Epoch 628/9999, Iter 62720: Loss = 0.012603169307112694, lr = [0.0001] +[2024-05-21 04:57:47,943] - INFO: Epoch 628/9999, Iter 62740: Loss = 0.019640324637293816, lr = [0.0001] +[2024-05-21 04:58:02,658] - INFO: Epoch 628/9999, Iter 62760: Loss = 0.014027463272213936, lr = [0.0001] +[2024-05-21 04:58:17,379] - INFO: Epoch 628/9999, Iter 62780: Loss = 0.018894007429480553, lr = [0.0001] +[2024-05-21 04:58:33,421] - INFO: Epoch 629/9999, Iter 62800: Loss = 0.023113714531064034, lr = [0.0001] +[2024-05-21 04:58:48,189] - INFO: Epoch 629/9999, Iter 62820: Loss = 0.0118385199457407, lr = [0.0001] +[2024-05-21 04:59:03,016] - INFO: Epoch 629/9999, Iter 62840: Loss = 0.00928577035665512, lr = [0.0001] +[2024-05-21 04:59:17,785] - INFO: Epoch 629/9999, Iter 62860: Loss = 0.0062195113860070705, lr = [0.0001] +[2024-05-21 04:59:32,612] - INFO: Epoch 629/9999, Iter 62880: Loss = 0.01610320620238781, lr = [0.0001] +[2024-05-21 04:59:48,696] - INFO: Epoch 630/9999, Iter 62900: Loss = 0.010095161385834217, lr = [0.0001] +[2024-05-21 05:00:03,536] - INFO: Epoch 630/9999, Iter 62920: Loss = 0.009495269507169724, lr = [0.0001] +[2024-05-21 05:00:18,375] - INFO: Epoch 630/9999, Iter 62940: Loss = 0.014096938073635101, lr = [0.0001] +[2024-05-21 05:00:33,080] - INFO: Epoch 630/9999, Iter 62960: Loss = 0.00947215873748064, lr = [0.0001] +[2024-05-21 05:00:47,857] - INFO: Epoch 630/9999, Iter 62980: Loss = 0.020054105669260025, lr = [0.0001] +[2024-05-21 05:01:02,309] - INFO: Evaluate at epoch 630! +[2024-05-21 05:01:07,366] - INFO: Eval PSNR (max): 37.811 (520) SSIM (max): 0.9602 (515) +[2024-05-21 05:01:07,366] - INFO: Eval PSNR (current): 37.669 (630) SSIM (current): 0.9601 (630) +[2024-05-21 05:01:07,366] - INFO: Evaluation over. +[2024-05-21 05:02:17,256] - INFO: Epoch 631/9999, Iter 63000: Loss = 0.00962101947516203, lr = [0.0001] +[2024-05-21 05:02:31,641] - INFO: Epoch 631/9999, Iter 63020: Loss = 0.007909034378826618, lr = [0.0001] +[2024-05-21 05:02:46,275] - INFO: Epoch 631/9999, Iter 63040: Loss = 0.017160553485155106, lr = [0.0001] +[2024-05-21 05:03:00,640] - INFO: Epoch 631/9999, Iter 63060: Loss = 0.010060514323413372, lr = [0.0001] +[2024-05-21 05:03:15,211] - INFO: Epoch 631/9999, Iter 63080: Loss = 0.011057127267122269, lr = [0.0001] +[2024-05-21 05:03:30,888] - INFO: Epoch 632/9999, Iter 63100: Loss = 0.01675274409353733, lr = [0.0001] +[2024-05-21 05:03:45,748] - INFO: Epoch 632/9999, Iter 63120: Loss = 0.00849191565066576, lr = [0.0001] +[2024-05-21 05:04:00,199] - INFO: Epoch 632/9999, Iter 63140: Loss = 0.00946404505521059, lr = [0.0001] +[2024-05-21 05:04:14,710] - INFO: Epoch 632/9999, Iter 63160: Loss = 0.009064028970897198, lr = [0.0001] +[2024-05-21 05:04:29,216] - INFO: Epoch 632/9999, Iter 63180: Loss = 0.008432446978986263, lr = [0.0001] +[2024-05-21 05:04:45,162] - INFO: Epoch 633/9999, Iter 63200: Loss = 0.014367375522851944, lr = [0.0001] +[2024-05-21 05:04:59,808] - INFO: Epoch 633/9999, Iter 63220: Loss = 0.016011180356144905, lr = [0.0001] +[2024-05-21 05:05:14,453] - INFO: Epoch 633/9999, Iter 63240: Loss = 0.012413240037858486, lr = [0.0001] +[2024-05-21 05:05:29,188] - INFO: Epoch 633/9999, Iter 63260: Loss = 0.006892516743391752, lr = [0.0001] +[2024-05-21 05:05:43,876] - INFO: Epoch 633/9999, Iter 63280: Loss = 0.016717074438929558, lr = [0.0001] +[2024-05-21 05:05:59,800] - INFO: Epoch 634/9999, Iter 63300: Loss = 0.014796504750847816, lr = [0.0001] +[2024-05-21 05:06:14,482] - INFO: Epoch 634/9999, Iter 63320: Loss = 0.011723835952579975, lr = [0.0001] +[2024-05-21 05:06:29,193] - INFO: Epoch 634/9999, Iter 63340: Loss = 0.008309735916554928, lr = [0.0001] +[2024-05-21 05:06:43,961] - INFO: Epoch 634/9999, Iter 63360: Loss = 0.012889106757938862, lr = [0.0001] +[2024-05-21 05:06:58,712] - INFO: Epoch 634/9999, Iter 63380: Loss = 0.015317081473767757, lr = [0.0001] +[2024-05-21 05:07:14,658] - INFO: Epoch 635/9999, Iter 63400: Loss = 0.011942772194743156, lr = [0.0001] +[2024-05-21 05:07:29,460] - INFO: Epoch 635/9999, Iter 63420: Loss = 0.009114480577409267, lr = [0.0001] +[2024-05-21 05:07:44,249] - INFO: Epoch 635/9999, Iter 63440: Loss = 0.004684862215071917, lr = [0.0001] +[2024-05-21 05:07:58,913] - INFO: Epoch 635/9999, Iter 63460: Loss = 0.008134097792208195, lr = [0.0001] +[2024-05-21 05:08:13,645] - INFO: Epoch 635/9999, Iter 63480: Loss = 0.008780778385698795, lr = [0.0001] +[2024-05-21 05:08:28,065] - INFO: Evaluate at epoch 635! +[2024-05-21 05:08:33,230] - INFO: Eval PSNR (max): 37.811 (520) SSIM (max): 0.9602 (515) +[2024-05-21 05:08:33,230] - INFO: Eval PSNR (current): 37.787 (635) SSIM (current): 0.9600 (635) +[2024-05-21 05:08:33,230] - INFO: Evaluation over. +[2024-05-21 05:09:46,467] - INFO: Epoch 636/9999, Iter 63500: Loss = 0.012156475335359573, lr = [0.0001] +[2024-05-21 05:10:00,963] - INFO: Epoch 636/9999, Iter 63520: Loss = 0.00825408287346363, lr = [0.0001] +[2024-05-21 05:10:15,279] - INFO: Epoch 636/9999, Iter 63540: Loss = 0.01086496002972126, lr = [0.0001] +[2024-05-21 05:10:29,740] - INFO: Epoch 636/9999, Iter 63560: Loss = 0.01574939489364624, lr = [0.0001] +[2024-05-21 05:10:44,181] - INFO: Epoch 636/9999, Iter 63580: Loss = 0.01894778199493885, lr = [0.0001] +[2024-05-21 05:10:59,926] - INFO: Epoch 637/9999, Iter 63600: Loss = 0.009525561705231667, lr = [0.0001] +[2024-05-21 05:11:14,459] - INFO: Epoch 637/9999, Iter 63620: Loss = 0.013224194757640362, lr = [0.0001] +[2024-05-21 05:11:29,428] - INFO: Epoch 637/9999, Iter 63640: Loss = 0.023057973012328148, lr = [0.0001] +[2024-05-21 05:11:44,233] - INFO: Epoch 637/9999, Iter 63660: Loss = 0.007814322598278522, lr = [0.0001] +[2024-05-21 05:11:59,053] - INFO: Epoch 637/9999, Iter 63680: Loss = 0.009878573939204216, lr = [0.0001] +[2024-05-21 05:12:29,039] - INFO: Epoch 638/9999, Iter 63700: Loss = 0.012982181273400784, lr = [0.0001] +[2024-05-21 05:12:56,961] - INFO: Epoch 638/9999, Iter 63720: Loss = 0.011112024076282978, lr = [0.0001] +[2024-05-21 05:13:11,451] - INFO: Epoch 638/9999, Iter 63740: Loss = 0.018325012177228928, lr = [0.0001] +[2024-05-21 05:13:25,987] - INFO: Epoch 638/9999, Iter 63760: Loss = 0.010243820026516914, lr = [0.0001] +[2024-05-21 05:14:34,190] - INFO: Epoch 638/9999, Iter 63780: Loss = 0.014256499707698822, lr = [0.0001] +[2024-05-21 05:14:50,016] - INFO: Epoch 639/9999, Iter 63800: Loss = 0.009244231507182121, lr = [0.0001] +[2024-05-21 05:15:04,708] - INFO: Epoch 639/9999, Iter 63820: Loss = 0.01623271219432354, lr = [0.0001] +[2024-05-21 05:15:19,107] - INFO: Epoch 639/9999, Iter 63840: Loss = 0.006537346635013819, lr = [0.0001] +[2024-05-21 05:15:33,542] - INFO: Epoch 639/9999, Iter 63860: Loss = 0.011076213791966438, lr = [0.0001] +[2024-05-21 05:15:48,046] - INFO: Epoch 639/9999, Iter 63880: Loss = 0.012697632424533367, lr = [0.0001] +[2024-05-21 05:16:03,817] - INFO: Epoch 640/9999, Iter 63900: Loss = 0.013695646077394485, lr = [0.0001] +[2024-05-21 05:16:18,396] - INFO: Epoch 640/9999, Iter 63920: Loss = 0.012814797461032867, lr = [0.0001] +[2024-05-21 05:16:33,145] - INFO: Epoch 640/9999, Iter 63940: Loss = 0.013965973630547523, lr = [0.0001] +[2024-05-21 05:16:47,740] - INFO: Epoch 640/9999, Iter 63960: Loss = 0.014681980013847351, lr = [0.0001] +[2024-05-21 05:17:02,352] - INFO: Epoch 640/9999, Iter 63980: Loss = 0.025986168533563614, lr = [0.0001] +[2024-05-21 05:17:16,648] - INFO: Evaluate at epoch 640! +[2024-05-21 05:17:21,764] - INFO: Eval PSNR (max): 37.811 (520) SSIM (max): 0.9602 (515) +[2024-05-21 05:17:21,764] - INFO: Eval PSNR (current): 37.195 (640) SSIM (current): 0.9598 (640) +[2024-05-21 05:17:21,764] - INFO: Evaluation over. +[2024-05-21 05:18:44,214] - INFO: Epoch 641/9999, Iter 64000: Loss = 0.008067837916314602, lr = [0.0001] +[2024-05-21 05:18:58,638] - INFO: Epoch 641/9999, Iter 64020: Loss = 0.012788919731974602, lr = [0.0001] +[2024-05-21 05:19:13,072] - INFO: Epoch 641/9999, Iter 64040: Loss = 0.01988445222377777, lr = [0.0001] +[2024-05-21 05:19:27,638] - INFO: Epoch 641/9999, Iter 64060: Loss = 0.015825677663087845, lr = [0.0001] +[2024-05-21 05:19:42,076] - INFO: Epoch 641/9999, Iter 64080: Loss = 0.01173305045813322, lr = [0.0001] +[2024-05-21 05:19:57,700] - INFO: Epoch 642/9999, Iter 64100: Loss = 0.018593164160847664, lr = [0.0001] +[2024-05-21 05:20:12,212] - INFO: Epoch 642/9999, Iter 64120: Loss = 0.007795749697834253, lr = [0.0001] +[2024-05-21 05:20:26,755] - INFO: Epoch 642/9999, Iter 64140: Loss = 0.01517665944993496, lr = [0.0001] +[2024-05-21 05:20:41,236] - INFO: Epoch 642/9999, Iter 64160: Loss = 0.015489796176552773, lr = [0.0001] +[2024-05-21 05:20:55,888] - INFO: Epoch 642/9999, Iter 64180: Loss = 0.010676631703972816, lr = [0.0001] +[2024-05-21 05:21:12,026] - INFO: Epoch 643/9999, Iter 64200: Loss = 0.01113354042172432, lr = [0.0001] +[2024-05-21 05:21:26,787] - INFO: Epoch 643/9999, Iter 64220: Loss = 0.009369589388370514, lr = [0.0001] +[2024-05-21 05:21:41,450] - INFO: Epoch 643/9999, Iter 64240: Loss = 0.013252172619104385, lr = [0.0001] +[2024-05-21 05:21:56,177] - INFO: Epoch 643/9999, Iter 64260: Loss = 0.009181339293718338, lr = [0.0001] +[2024-05-21 05:22:10,876] - INFO: Epoch 643/9999, Iter 64280: Loss = 0.03181455656886101, lr = [0.0001] +[2024-05-21 05:22:26,934] - INFO: Epoch 644/9999, Iter 64300: Loss = 0.022295601665973663, lr = [0.0001] +[2024-05-21 05:22:41,658] - INFO: Epoch 644/9999, Iter 64320: Loss = 0.015653014183044434, lr = [0.0001] +[2024-05-21 05:22:56,416] - INFO: Epoch 644/9999, Iter 64340: Loss = 0.014041434973478317, lr = [0.0001] +[2024-05-21 05:23:11,167] - INFO: Epoch 644/9999, Iter 64360: Loss = 0.015587184578180313, lr = [0.0001] +[2024-05-21 05:23:25,976] - INFO: Epoch 644/9999, Iter 64380: Loss = 0.010927325114607811, lr = [0.0001] +[2024-05-21 05:23:41,974] - INFO: Epoch 645/9999, Iter 64400: Loss = 0.01732279360294342, lr = [0.0001] +[2024-05-21 05:23:56,828] - INFO: Epoch 645/9999, Iter 64420: Loss = 0.012165206484496593, lr = [0.0001] +[2024-05-21 05:24:11,649] - INFO: Epoch 645/9999, Iter 64440: Loss = 0.013918747194111347, lr = [0.0001] +[2024-05-21 05:24:26,455] - INFO: Epoch 645/9999, Iter 64460: Loss = 0.011349717155098915, lr = [0.0001] +[2024-05-21 05:24:41,361] - INFO: Epoch 645/9999, Iter 64480: Loss = 0.014503836631774902, lr = [0.0001] +[2024-05-21 05:24:55,882] - INFO: Evaluate at epoch 645! +[2024-05-21 05:25:01,188] - INFO: Eval PSNR (max): 37.811 (520) SSIM (max): 0.9602 (515) +[2024-05-21 05:25:01,188] - INFO: Eval PSNR (current): 37.748 (645) SSIM (current): 0.9600 (645) +[2024-05-21 05:25:01,188] - INFO: Evaluation over. +[2024-05-21 05:26:18,281] - INFO: Epoch 646/9999, Iter 64500: Loss = 0.016712568700313568, lr = [0.0001] +[2024-05-21 05:26:53,144] - INFO: Epoch 646/9999, Iter 64520: Loss = 0.01786798983812332, lr = [0.0001] +[2024-05-21 05:27:07,653] - INFO: Epoch 646/9999, Iter 64540: Loss = 0.01645578071475029, lr = [0.0001] +[2024-05-21 05:27:22,128] - INFO: Epoch 646/9999, Iter 64560: Loss = 0.0063492897897958755, lr = [0.0001] +[2024-05-21 05:27:36,792] - INFO: Epoch 646/9999, Iter 64580: Loss = 0.020833825692534447, lr = [0.0001] +[2024-05-21 05:27:52,712] - INFO: Epoch 647/9999, Iter 64600: Loss = 0.009745954535901546, lr = [0.0001] +[2024-05-21 05:28:07,467] - INFO: Epoch 647/9999, Iter 64620: Loss = 0.01084729004651308, lr = [0.0001] +[2024-05-21 05:28:22,076] - INFO: Epoch 647/9999, Iter 64640: Loss = 0.018597228452563286, lr = [0.0001] +[2024-05-21 05:28:36,692] - INFO: Epoch 647/9999, Iter 64660: Loss = 0.015249291434884071, lr = [0.0001] +[2024-05-21 05:28:51,316] - INFO: Epoch 647/9999, Iter 64680: Loss = 0.016963619738817215, lr = [0.0001] +[2024-05-21 05:29:07,336] - INFO: Epoch 648/9999, Iter 64700: Loss = 0.014492461457848549, lr = [0.0001] +[2024-05-21 05:29:21,979] - INFO: Epoch 648/9999, Iter 64720: Loss = 0.011247127316892147, lr = [0.0001] +[2024-05-21 05:29:36,780] - INFO: Epoch 648/9999, Iter 64740: Loss = 0.012136606499552727, lr = [0.0001] +[2024-05-21 05:29:51,462] - INFO: Epoch 648/9999, Iter 64760: Loss = 0.011925664730370045, lr = [0.0001] +[2024-05-21 05:30:06,117] - INFO: Epoch 648/9999, Iter 64780: Loss = 0.01608186401426792, lr = [0.0001] +[2024-05-21 05:30:22,307] - INFO: Epoch 649/9999, Iter 64800: Loss = 0.019382035359740257, lr = [0.0001] +[2024-05-21 05:30:37,238] - INFO: Epoch 649/9999, Iter 64820: Loss = 0.015149340033531189, lr = [0.0001] +[2024-05-21 05:30:51,963] - INFO: Epoch 649/9999, Iter 64840: Loss = 0.01446087658405304, lr = [0.0001] +[2024-05-21 05:31:06,704] - INFO: Epoch 649/9999, Iter 64860: Loss = 0.009850718080997467, lr = [0.0001] +[2024-05-21 05:31:21,437] - INFO: Epoch 649/9999, Iter 64880: Loss = 0.014990424737334251, lr = [0.0001] +[2024-05-21 05:31:37,556] - INFO: Epoch 650/9999, Iter 64900: Loss = 0.007685111835598946, lr = [0.0001] +[2024-05-21 05:31:52,359] - INFO: Epoch 650/9999, Iter 64920: Loss = 0.027134310454130173, lr = [0.0001] +[2024-05-21 05:32:07,109] - INFO: Epoch 650/9999, Iter 64940: Loss = 0.022669319063425064, lr = [0.0001] +[2024-05-21 05:32:21,927] - INFO: Epoch 650/9999, Iter 64960: Loss = 0.01585369184613228, lr = [0.0001] +[2024-05-21 05:32:36,704] - INFO: Epoch 650/9999, Iter 64980: Loss = 0.016374364495277405, lr = [0.0001] +[2024-05-21 05:32:51,180] - INFO: Evaluate at epoch 650! +[2024-05-21 05:32:56,266] - INFO: Eval PSNR (max): 37.811 (520) SSIM (max): 0.9602 (515) +[2024-05-21 05:32:56,266] - INFO: Eval PSNR (current): 37.140 (650) SSIM (current): 0.9595 (650) +[2024-05-21 05:32:56,266] - INFO: Evaluation over. +[2024-05-21 05:34:05,718] - INFO: Epoch 651/9999, Iter 65000: Loss = 0.020963750779628754, lr = [0.0001] +[2024-05-21 05:34:20,244] - INFO: Epoch 651/9999, Iter 65020: Loss = 0.009430496953427792, lr = [0.0001] +[2024-05-21 05:34:34,718] - INFO: Epoch 651/9999, Iter 65040: Loss = 0.01559875626116991, lr = [0.0001] +[2024-05-21 05:34:49,144] - INFO: Epoch 651/9999, Iter 65060: Loss = 0.02623235248029232, lr = [0.0001] +[2024-05-21 05:35:03,616] - INFO: Epoch 651/9999, Iter 65080: Loss = 0.009734300896525383, lr = [0.0001] +[2024-05-21 05:35:19,624] - INFO: Epoch 652/9999, Iter 65100: Loss = 0.012409997172653675, lr = [0.0001] +[2024-05-21 05:35:34,060] - INFO: Epoch 652/9999, Iter 65120: Loss = 0.009080595336854458, lr = [0.0001] +[2024-05-21 05:35:48,771] - INFO: Epoch 652/9999, Iter 65140: Loss = 0.010531178675591946, lr = [0.0001] +[2024-05-21 05:36:03,379] - INFO: Epoch 652/9999, Iter 65160: Loss = 0.017118073999881744, lr = [0.0001] +[2024-05-21 05:36:18,061] - INFO: Epoch 652/9999, Iter 65180: Loss = 0.013423692435026169, lr = [0.0001] +[2024-05-21 05:36:33,962] - INFO: Epoch 653/9999, Iter 65200: Loss = 0.019112611189484596, lr = [0.0001] +[2024-05-21 05:36:48,650] - INFO: Epoch 653/9999, Iter 65220: Loss = 0.009539091028273106, lr = [0.0001] +[2024-05-21 05:37:03,290] - INFO: Epoch 653/9999, Iter 65240: Loss = 0.013461947441101074, lr = [0.0001] +[2024-05-21 05:37:18,036] - INFO: Epoch 653/9999, Iter 65260: Loss = 0.006967940833419561, lr = [0.0001] +[2024-05-21 05:37:32,800] - INFO: Epoch 653/9999, Iter 65280: Loss = 0.01367478258907795, lr = [0.0001] +[2024-05-21 05:37:48,720] - INFO: Epoch 654/9999, Iter 65300: Loss = 0.009969951584935188, lr = [0.0001] +[2024-05-21 05:38:03,614] - INFO: Epoch 654/9999, Iter 65320: Loss = 0.011404779739677906, lr = [0.0001] +[2024-05-21 05:38:18,467] - INFO: Epoch 654/9999, Iter 65340: Loss = 0.008445040322840214, lr = [0.0001] +[2024-05-21 05:38:33,200] - INFO: Epoch 654/9999, Iter 65360: Loss = 0.023137662559747696, lr = [0.0001] +[2024-05-21 05:38:47,963] - INFO: Epoch 654/9999, Iter 65380: Loss = 0.010479633696377277, lr = [0.0001] +[2024-05-21 05:39:03,980] - INFO: Epoch 655/9999, Iter 65400: Loss = 0.012499812990427017, lr = [0.0001] +[2024-05-21 05:39:18,950] - INFO: Epoch 655/9999, Iter 65420: Loss = 0.008218900300562382, lr = [0.0001] +[2024-05-21 05:39:33,686] - INFO: Epoch 655/9999, Iter 65440: Loss = 0.012770169414579868, lr = [0.0001] +[2024-05-21 05:39:48,516] - INFO: Epoch 655/9999, Iter 65460: Loss = 0.013335377909243107, lr = [0.0001] +[2024-05-21 05:40:03,326] - INFO: Epoch 655/9999, Iter 65480: Loss = 0.01090465858578682, lr = [0.0001] +[2024-05-21 05:40:17,822] - INFO: Evaluate at epoch 655! +[2024-05-21 05:41:27,318] - INFO: Eval PSNR (max): 37.812 (655) SSIM (max): 0.9602 (515) +[2024-05-21 05:41:27,320] - INFO: Eval PSNR (current): 37.812 (655) SSIM (current): 0.9602 (655) +[2024-05-21 05:41:27,320] - INFO: Evaluation over. +[2024-05-21 05:42:36,245] - INFO: Epoch 656/9999, Iter 65500: Loss = 0.010460339486598969, lr = [0.0001] +[2024-05-21 05:42:50,961] - INFO: Epoch 656/9999, Iter 65520: Loss = 0.018143367022275925, lr = [0.0001] +[2024-05-21 05:43:05,410] - INFO: Epoch 656/9999, Iter 65540: Loss = 0.014033349230885506, lr = [0.0001] +[2024-05-21 05:43:19,889] - INFO: Epoch 656/9999, Iter 65560: Loss = 0.015457827597856522, lr = [0.0001] +[2024-05-21 05:43:34,279] - INFO: Epoch 656/9999, Iter 65580: Loss = 0.010288630612194538, lr = [0.0001] +[2024-05-21 05:43:50,189] - INFO: Epoch 657/9999, Iter 65600: Loss = 0.025422431528568268, lr = [0.0001] +[2024-05-21 05:44:04,604] - INFO: Epoch 657/9999, Iter 65620: Loss = 0.0060503738932311535, lr = [0.0001] +[2024-05-21 05:44:19,249] - INFO: Epoch 657/9999, Iter 65640: Loss = 0.01974615827202797, lr = [0.0001] +[2024-05-21 05:44:33,836] - INFO: Epoch 657/9999, Iter 65660: Loss = 0.018562840297818184, lr = [0.0001] +[2024-05-21 05:44:48,419] - INFO: Epoch 657/9999, Iter 65680: Loss = 0.02434995025396347, lr = [0.0001] +[2024-05-21 05:45:04,291] - INFO: Epoch 658/9999, Iter 65700: Loss = 0.009686382487416267, lr = [0.0001] +[2024-05-21 05:45:18,842] - INFO: Epoch 658/9999, Iter 65720: Loss = 0.011795347556471825, lr = [0.0001] +[2024-05-21 05:45:33,444] - INFO: Epoch 658/9999, Iter 65740: Loss = 0.011290527880191803, lr = [0.0001] +[2024-05-21 05:45:48,159] - INFO: Epoch 658/9999, Iter 65760: Loss = 0.013524733483791351, lr = [0.0001] +[2024-05-21 05:46:02,772] - INFO: Epoch 658/9999, Iter 65780: Loss = 0.008871110156178474, lr = [0.0001] +[2024-05-21 05:46:28,328] - INFO: Epoch 659/9999, Iter 65800: Loss = 0.011411495506763458, lr = [0.0001] +[2024-05-21 05:46:43,278] - INFO: Epoch 659/9999, Iter 65820: Loss = 0.025683628395199776, lr = [0.0001] +[2024-05-21 05:46:58,988] - INFO: Epoch 659/9999, Iter 65840: Loss = 0.016778210178017616, lr = [0.0001] +[2024-05-21 05:47:14,962] - INFO: Epoch 659/9999, Iter 65860: Loss = 0.013473396189510822, lr = [0.0001] +[2024-05-21 05:47:29,543] - INFO: Epoch 659/9999, Iter 65880: Loss = 0.017318936064839363, lr = [0.0001] +[2024-05-21 05:47:45,665] - INFO: Epoch 660/9999, Iter 65900: Loss = 0.013804828748106956, lr = [0.0001] +[2024-05-21 05:48:00,260] - INFO: Epoch 660/9999, Iter 65920: Loss = 0.020816745236516, lr = [0.0001] +[2024-05-21 05:48:15,024] - INFO: Epoch 660/9999, Iter 65940: Loss = 0.009405099786818027, lr = [0.0001] +[2024-05-21 05:48:29,766] - INFO: Epoch 660/9999, Iter 65960: Loss = 0.007629379164427519, lr = [0.0001] +[2024-05-21 05:48:44,452] - INFO: Epoch 660/9999, Iter 65980: Loss = 0.012756574898958206, lr = [0.0001] +[2024-05-21 05:48:58,762] - INFO: Evaluate at epoch 660! +[2024-05-21 05:49:03,694] - INFO: Eval PSNR (max): 37.812 (655) SSIM (max): 0.9602 (515) +[2024-05-21 05:49:03,694] - INFO: Eval PSNR (current): 37.650 (660) SSIM (current): 0.9594 (660) +[2024-05-21 05:49:03,694] - INFO: Evaluation over. +[2024-05-21 05:49:56,892] - INFO: Epoch 661/9999, Iter 66000: Loss = 0.010603034868836403, lr = [0.0001] +[2024-05-21 05:50:11,312] - INFO: Epoch 661/9999, Iter 66020: Loss = 0.014985239133238792, lr = [0.0001] +[2024-05-21 05:50:25,768] - INFO: Epoch 661/9999, Iter 66040: Loss = 0.01049146056175232, lr = [0.0001] +[2024-05-21 05:50:40,261] - INFO: Epoch 661/9999, Iter 66060: Loss = 0.012430981732904911, lr = [0.0001] +[2024-05-21 05:50:54,808] - INFO: Epoch 661/9999, Iter 66080: Loss = 0.008444693870842457, lr = [0.0001] +[2024-05-21 05:51:10,956] - INFO: Epoch 662/9999, Iter 66100: Loss = 0.010952665470540524, lr = [0.0001] +[2024-05-21 05:51:25,639] - INFO: Epoch 662/9999, Iter 66120: Loss = 0.01043131947517395, lr = [0.0001] +[2024-05-21 05:51:40,199] - INFO: Epoch 662/9999, Iter 66140: Loss = 0.010247845202684402, lr = [0.0001] +[2024-05-21 05:51:54,764] - INFO: Epoch 662/9999, Iter 66160: Loss = 0.014898053370416164, lr = [0.0001] +[2024-05-21 05:52:09,387] - INFO: Epoch 662/9999, Iter 66180: Loss = 0.02116515301167965, lr = [0.0001] +[2024-05-21 05:52:25,271] - INFO: Epoch 663/9999, Iter 66200: Loss = 0.016849668696522713, lr = [0.0001] +[2024-05-21 05:52:40,141] - INFO: Epoch 663/9999, Iter 66220: Loss = 0.016382021829485893, lr = [0.0001] +[2024-05-21 05:52:54,800] - INFO: Epoch 663/9999, Iter 66240: Loss = 0.014419350773096085, lr = [0.0001] +[2024-05-21 05:53:09,516] - INFO: Epoch 663/9999, Iter 66260: Loss = 0.013743352144956589, lr = [0.0001] +[2024-05-21 05:53:24,187] - INFO: Epoch 663/9999, Iter 66280: Loss = 0.012063913978636265, lr = [0.0001] +[2024-05-21 05:53:40,263] - INFO: Epoch 664/9999, Iter 66300: Loss = 0.017219122499227524, lr = [0.0001] +[2024-05-21 05:53:54,952] - INFO: Epoch 664/9999, Iter 66320: Loss = 0.006488495506346226, lr = [0.0001] +[2024-05-21 05:54:09,662] - INFO: Epoch 664/9999, Iter 66340: Loss = 0.017305148765444756, lr = [0.0001] +[2024-05-21 05:54:24,326] - INFO: Epoch 664/9999, Iter 66360: Loss = 0.006926413159817457, lr = [0.0001] +[2024-05-21 05:54:39,069] - INFO: Epoch 664/9999, Iter 66380: Loss = 0.006603778339922428, lr = [0.0001] +[2024-05-21 05:54:55,024] - INFO: Epoch 665/9999, Iter 66400: Loss = 0.004984788130968809, lr = [0.0001] +[2024-05-21 05:55:09,800] - INFO: Epoch 665/9999, Iter 66420: Loss = 0.009368063881993294, lr = [0.0001] +[2024-05-21 05:55:24,567] - INFO: Epoch 665/9999, Iter 66440: Loss = 0.010267995297908783, lr = [0.0001] +[2024-05-21 05:55:39,278] - INFO: Epoch 665/9999, Iter 66460: Loss = 0.024520106613636017, lr = [0.0001] +[2024-05-21 05:55:53,987] - INFO: Epoch 665/9999, Iter 66480: Loss = 0.014132954180240631, lr = [0.0001] +[2024-05-21 05:56:08,407] - INFO: Evaluate at epoch 665! +[2024-05-21 05:56:13,456] - INFO: Eval PSNR (max): 37.812 (655) SSIM (max): 0.9602 (515) +[2024-05-21 05:56:13,456] - INFO: Eval PSNR (current): 37.578 (665) SSIM (current): 0.9593 (665) +[2024-05-21 05:56:13,456] - INFO: Evaluation over. +[2024-05-21 05:56:58,818] - INFO: Epoch 666/9999, Iter 66500: Loss = 0.013071362860500813, lr = [0.0001] +[2024-05-21 05:57:13,356] - INFO: Epoch 666/9999, Iter 66520: Loss = 0.026990994811058044, lr = [0.0001] +[2024-05-21 05:57:27,820] - INFO: Epoch 666/9999, Iter 66540: Loss = 0.01950087398290634, lr = [0.0001] +[2024-05-21 05:57:42,412] - INFO: Epoch 666/9999, Iter 66560: Loss = 0.015530640259385109, lr = [0.0001] +[2024-05-21 05:57:56,987] - INFO: Epoch 666/9999, Iter 66580: Loss = 0.015846513211727142, lr = [0.0001] +[2024-05-21 05:58:13,028] - INFO: Epoch 667/9999, Iter 66600: Loss = 0.013782549649477005, lr = [0.0001] +[2024-05-21 05:58:27,634] - INFO: Epoch 667/9999, Iter 66620: Loss = 0.00972677581012249, lr = [0.0001] +[2024-05-21 05:58:42,216] - INFO: Epoch 667/9999, Iter 66640: Loss = 0.00580287491902709, lr = [0.0001] +[2024-05-21 05:58:56,920] - INFO: Epoch 667/9999, Iter 66660: Loss = 0.014010120183229446, lr = [0.0001] +[2024-05-21 05:59:11,516] - INFO: Epoch 667/9999, Iter 66680: Loss = 0.012716141529381275, lr = [0.0001] +[2024-05-21 05:59:27,717] - INFO: Epoch 668/9999, Iter 66700: Loss = 0.008443837985396385, lr = [0.0001] +[2024-05-21 05:59:42,399] - INFO: Epoch 668/9999, Iter 66720: Loss = 0.009360692463815212, lr = [0.0001] +[2024-05-21 05:59:57,166] - INFO: Epoch 668/9999, Iter 66740: Loss = 0.011207635514438152, lr = [0.0001] +[2024-05-21 06:00:11,875] - INFO: Epoch 668/9999, Iter 66760: Loss = 0.012564032338559628, lr = [0.0001] +[2024-05-21 06:00:26,685] - INFO: Epoch 668/9999, Iter 66780: Loss = 0.024999598041176796, lr = [0.0001] +[2024-05-21 06:00:42,891] - INFO: Epoch 669/9999, Iter 66800: Loss = 0.008375352248549461, lr = [0.0001] +[2024-05-21 06:00:57,671] - INFO: Epoch 669/9999, Iter 66820: Loss = 0.015886791050434113, lr = [0.0001] +[2024-05-21 06:01:12,497] - INFO: Epoch 669/9999, Iter 66840: Loss = 0.021550573408603668, lr = [0.0001] +[2024-05-21 06:01:27,209] - INFO: Epoch 669/9999, Iter 66860: Loss = 0.01856771484017372, lr = [0.0001] +[2024-05-21 06:01:41,870] - INFO: Epoch 669/9999, Iter 66880: Loss = 0.023859107866883278, lr = [0.0001] +[2024-05-21 06:01:57,800] - INFO: Epoch 670/9999, Iter 66900: Loss = 0.013782339170575142, lr = [0.0001] +[2024-05-21 06:02:12,651] - INFO: Epoch 670/9999, Iter 66920: Loss = 0.0142528610303998, lr = [0.0001] +[2024-05-21 06:02:27,360] - INFO: Epoch 670/9999, Iter 66940: Loss = 0.008979362435638905, lr = [0.0001] +[2024-05-21 06:02:42,118] - INFO: Epoch 670/9999, Iter 66960: Loss = 0.012108752503991127, lr = [0.0001] +[2024-05-21 06:02:57,051] - INFO: Epoch 670/9999, Iter 66980: Loss = 0.007907436229288578, lr = [0.0001] +[2024-05-21 06:03:11,480] - INFO: Evaluate at epoch 670! +[2024-05-21 06:03:16,572] - INFO: Eval PSNR (max): 37.812 (655) SSIM (max): 0.9602 (515) +[2024-05-21 06:03:16,572] - INFO: Eval PSNR (current): 37.779 (670) SSIM (current): 0.9601 (670) +[2024-05-21 06:03:16,572] - INFO: Evaluation over. +[2024-05-21 06:04:01,252] - INFO: Epoch 671/9999, Iter 67000: Loss = 0.014125782996416092, lr = [0.0001] +[2024-05-21 06:04:15,845] - INFO: Epoch 671/9999, Iter 67020: Loss = 0.012888090685009956, lr = [0.0001] +[2024-05-21 06:04:30,343] - INFO: Epoch 671/9999, Iter 67040: Loss = 0.011379445903003216, lr = [0.0001] +[2024-05-21 06:04:44,916] - INFO: Epoch 671/9999, Iter 67060: Loss = 0.008550631813704967, lr = [0.0001] +[2024-05-21 06:04:59,652] - INFO: Epoch 671/9999, Iter 67080: Loss = 0.00935649685561657, lr = [0.0001] +[2024-05-21 06:05:16,992] - INFO: Epoch 672/9999, Iter 67100: Loss = 0.013043386861681938, lr = [0.0001] +[2024-05-21 06:05:31,524] - INFO: Epoch 672/9999, Iter 67120: Loss = 0.01088622584939003, lr = [0.0001] +[2024-05-21 06:05:46,356] - INFO: Epoch 672/9999, Iter 67140: Loss = 0.016459261998534203, lr = [0.0001] +[2024-05-21 06:06:02,111] - INFO: Epoch 672/9999, Iter 67160: Loss = 0.020340880379080772, lr = [0.0001] +[2024-05-21 06:06:16,807] - INFO: Epoch 672/9999, Iter 67180: Loss = 0.012406949885189533, lr = [0.0001] +[2024-05-21 06:06:32,571] - INFO: Epoch 673/9999, Iter 67200: Loss = 0.012393593788146973, lr = [0.0001] +[2024-05-21 06:06:47,326] - INFO: Epoch 673/9999, Iter 67220: Loss = 0.019083214923739433, lr = [0.0001] +[2024-05-21 06:07:02,016] - INFO: Epoch 673/9999, Iter 67240: Loss = 0.02066171169281006, lr = [0.0001] +[2024-05-21 06:07:16,668] - INFO: Epoch 673/9999, Iter 67260: Loss = 0.011209392920136452, lr = [0.0001] +[2024-05-21 06:07:31,391] - INFO: Epoch 673/9999, Iter 67280: Loss = 0.022022387012839317, lr = [0.0001] +[2024-05-21 06:07:47,475] - INFO: Epoch 674/9999, Iter 67300: Loss = 0.01199315208941698, lr = [0.0001] +[2024-05-21 06:08:02,196] - INFO: Epoch 674/9999, Iter 67320: Loss = 0.008874435909092426, lr = [0.0001] +[2024-05-21 06:08:16,927] - INFO: Epoch 674/9999, Iter 67340: Loss = 0.009537679143249989, lr = [0.0001] +[2024-05-21 06:08:31,686] - INFO: Epoch 674/9999, Iter 67360: Loss = 0.009368575178086758, lr = [0.0001] +[2024-05-21 06:08:46,516] - INFO: Epoch 674/9999, Iter 67380: Loss = 0.012892586179077625, lr = [0.0001] +[2024-05-21 06:09:02,799] - INFO: Epoch 675/9999, Iter 67400: Loss = 0.0143966069445014, lr = [0.0001] +[2024-05-21 06:09:17,639] - INFO: Epoch 675/9999, Iter 67420: Loss = 0.009280641563236713, lr = [0.0001] +[2024-05-21 06:09:32,444] - INFO: Epoch 675/9999, Iter 67440: Loss = 0.010623007081449032, lr = [0.0001] +[2024-05-21 06:09:47,296] - INFO: Epoch 675/9999, Iter 67460: Loss = 0.01927918940782547, lr = [0.0001] +[2024-05-21 06:10:02,071] - INFO: Epoch 675/9999, Iter 67480: Loss = 0.013819144107401371, lr = [0.0001] +[2024-05-21 06:10:18,669] - INFO: Evaluate at epoch 675! +[2024-05-21 06:10:23,530] - INFO: Eval PSNR (max): 37.812 (655) SSIM (max): 0.9602 (515) +[2024-05-21 06:10:23,530] - INFO: Eval PSNR (current): 37.792 (675) SSIM (current): 0.9600 (675) +[2024-05-21 06:10:23,531] - INFO: Evaluation over. +[2024-05-21 06:11:08,622] - INFO: Epoch 676/9999, Iter 67500: Loss = 0.019140267744660378, lr = [0.0001] +[2024-05-21 06:11:23,112] - INFO: Epoch 676/9999, Iter 67520: Loss = 0.013995036482810974, lr = [0.0001] +[2024-05-21 06:11:37,690] - INFO: Epoch 676/9999, Iter 67540: Loss = 0.007202396634966135, lr = [0.0001] +[2024-05-21 06:11:52,245] - INFO: Epoch 676/9999, Iter 67560: Loss = 0.011787301860749722, lr = [0.0001] +[2024-05-21 06:12:06,784] - INFO: Epoch 676/9999, Iter 67580: Loss = 0.01510988175868988, lr = [0.0001] +[2024-05-21 06:12:22,579] - INFO: Epoch 677/9999, Iter 67600: Loss = 0.009113464504480362, lr = [0.0001] +[2024-05-21 06:12:37,332] - INFO: Epoch 677/9999, Iter 67620: Loss = 0.019887356087565422, lr = [0.0001] +[2024-05-21 06:12:51,906] - INFO: Epoch 677/9999, Iter 67640: Loss = 0.011235576122999191, lr = [0.0001] +[2024-05-21 06:13:06,560] - INFO: Epoch 677/9999, Iter 67660: Loss = 0.013240783475339413, lr = [0.0001] +[2024-05-21 06:13:21,120] - INFO: Epoch 677/9999, Iter 67680: Loss = 0.011870569549500942, lr = [0.0001] +[2024-05-21 06:13:36,959] - INFO: Epoch 678/9999, Iter 67700: Loss = 0.011912666261196136, lr = [0.0001] +[2024-05-21 06:13:51,616] - INFO: Epoch 678/9999, Iter 67720: Loss = 0.01753200776875019, lr = [0.0001] +[2024-05-21 06:14:06,259] - INFO: Epoch 678/9999, Iter 67740: Loss = 0.01186442282050848, lr = [0.0001] +[2024-05-21 06:14:20,969] - INFO: Epoch 678/9999, Iter 67760: Loss = 0.015291236340999603, lr = [0.0001] +[2024-05-21 06:14:35,637] - INFO: Epoch 678/9999, Iter 67780: Loss = 0.01183331198990345, lr = [0.0001] +[2024-05-21 06:15:04,749] - INFO: Epoch 679/9999, Iter 67800: Loss = 0.012656720355153084, lr = [0.0001] +[2024-05-21 06:15:19,409] - INFO: Epoch 679/9999, Iter 67820: Loss = 0.010208369232714176, lr = [0.0001] +[2024-05-21 06:15:34,092] - INFO: Epoch 679/9999, Iter 67840: Loss = 0.01147762406617403, lr = [0.0001] +[2024-05-21 06:15:48,698] - INFO: Epoch 679/9999, Iter 67860: Loss = 0.009112999774515629, lr = [0.0001] +[2024-05-21 06:16:03,452] - INFO: Epoch 679/9999, Iter 67880: Loss = 0.01693999394774437, lr = [0.0001] +[2024-05-21 06:16:19,361] - INFO: Epoch 680/9999, Iter 67900: Loss = 0.013078941032290459, lr = [0.0001] +[2024-05-21 06:16:34,052] - INFO: Epoch 680/9999, Iter 67920: Loss = 0.011527711525559425, lr = [0.0001] +[2024-05-21 06:16:48,769] - INFO: Epoch 680/9999, Iter 67940: Loss = 0.013520153239369392, lr = [0.0001] +[2024-05-21 06:17:03,496] - INFO: Epoch 680/9999, Iter 67960: Loss = 0.022233465686440468, lr = [0.0001] +[2024-05-21 06:17:18,206] - INFO: Epoch 680/9999, Iter 67980: Loss = 0.013240928761661053, lr = [0.0001] +[2024-05-21 06:17:32,623] - INFO: Evaluate at epoch 680! +[2024-05-21 06:17:37,605] - INFO: Eval PSNR (max): 37.812 (655) SSIM (max): 0.9602 (515) +[2024-05-21 06:17:37,605] - INFO: Eval PSNR (current): 37.771 (680) SSIM (current): 0.9602 (680) +[2024-05-21 06:17:37,605] - INFO: Evaluation over. +[2024-05-21 06:18:40,051] - INFO: Epoch 681/9999, Iter 68000: Loss = 0.010634179227054119, lr = [0.0001] +[2024-05-21 06:18:54,479] - INFO: Epoch 681/9999, Iter 68020: Loss = 0.015750689432024956, lr = [0.0001] +[2024-05-21 06:19:09,000] - INFO: Epoch 681/9999, Iter 68040: Loss = 0.008632190525531769, lr = [0.0001] +[2024-05-21 06:19:23,500] - INFO: Epoch 681/9999, Iter 68060: Loss = 0.011634313501417637, lr = [0.0001] +[2024-05-21 06:19:38,073] - INFO: Epoch 681/9999, Iter 68080: Loss = 0.01406435389071703, lr = [0.0001] +[2024-05-21 06:19:53,908] - INFO: Epoch 682/9999, Iter 68100: Loss = 0.0064333477057516575, lr = [0.0001] +[2024-05-21 06:20:08,414] - INFO: Epoch 682/9999, Iter 68120: Loss = 0.010334757156670094, lr = [0.0001] +[2024-05-21 06:20:22,983] - INFO: Epoch 682/9999, Iter 68140: Loss = 0.010315542109310627, lr = [0.0001] +[2024-05-21 06:20:37,568] - INFO: Epoch 682/9999, Iter 68160: Loss = 0.01463094912469387, lr = [0.0001] +[2024-05-21 06:20:54,068] - INFO: Epoch 682/9999, Iter 68180: Loss = 0.022776354104280472, lr = [0.0001] +[2024-05-21 06:21:09,911] - INFO: Epoch 683/9999, Iter 68200: Loss = 0.014014769345521927, lr = [0.0001] +[2024-05-21 06:21:24,629] - INFO: Epoch 683/9999, Iter 68220: Loss = 0.01321998331695795, lr = [0.0001] +[2024-05-21 06:21:39,338] - INFO: Epoch 683/9999, Iter 68240: Loss = 0.0048779877834022045, lr = [0.0001] +[2024-05-21 06:21:54,068] - INFO: Epoch 683/9999, Iter 68260: Loss = 0.0128541961312294, lr = [0.0001] +[2024-05-21 06:22:08,832] - INFO: Epoch 683/9999, Iter 68280: Loss = 0.011529875919222832, lr = [0.0001] +[2024-05-21 06:22:24,969] - INFO: Epoch 684/9999, Iter 68300: Loss = 0.012076664716005325, lr = [0.0001] +[2024-05-21 06:22:39,878] - INFO: Epoch 684/9999, Iter 68320: Loss = 0.005138985347002745, lr = [0.0001] +[2024-05-21 06:22:54,744] - INFO: Epoch 684/9999, Iter 68340: Loss = 0.0195904728025198, lr = [0.0001] +[2024-05-21 06:23:09,559] - INFO: Epoch 684/9999, Iter 68360: Loss = 0.0094918766990304, lr = [0.0001] +[2024-05-21 06:23:24,335] - INFO: Epoch 684/9999, Iter 68380: Loss = 0.017895307391881943, lr = [0.0001] +[2024-05-21 06:23:40,378] - INFO: Epoch 685/9999, Iter 68400: Loss = 0.016783306375145912, lr = [0.0001] +[2024-05-21 06:23:55,240] - INFO: Epoch 685/9999, Iter 68420: Loss = 0.02619066834449768, lr = [0.0001] +[2024-05-21 06:24:10,192] - INFO: Epoch 685/9999, Iter 68440: Loss = 0.006926911883056164, lr = [0.0001] +[2024-05-21 06:24:24,984] - INFO: Epoch 685/9999, Iter 68460: Loss = 0.009767184033989906, lr = [0.0001] +[2024-05-21 06:24:39,825] - INFO: Epoch 685/9999, Iter 68480: Loss = 0.011137210763990879, lr = [0.0001] +[2024-05-21 06:24:54,273] - INFO: Evaluate at epoch 685! +[2024-05-21 06:26:25,570] - INFO: Eval PSNR (max): 37.878 (685) SSIM (max): 0.9603 (685) +[2024-05-21 06:26:25,572] - INFO: Eval PSNR (current): 37.878 (685) SSIM (current): 0.9603 (685) +[2024-05-21 06:26:25,572] - INFO: Evaluation over. +[2024-05-21 06:27:10,919] - INFO: Epoch 686/9999, Iter 68500: Loss = 0.015022714622318745, lr = [0.0001] +[2024-05-21 06:27:25,270] - INFO: Epoch 686/9999, Iter 68520: Loss = 0.007691231090575457, lr = [0.0001] +[2024-05-21 06:27:39,676] - INFO: Epoch 686/9999, Iter 68540: Loss = 0.012166297063231468, lr = [0.0001] +[2024-05-21 06:27:54,099] - INFO: Epoch 686/9999, Iter 68560: Loss = 0.008978490717709064, lr = [0.0001] +[2024-05-21 06:28:08,546] - INFO: Epoch 686/9999, Iter 68580: Loss = 0.021899424493312836, lr = [0.0001] +[2024-05-21 06:28:24,260] - INFO: Epoch 687/9999, Iter 68600: Loss = 0.019597217440605164, lr = [0.0001] +[2024-05-21 06:28:38,763] - INFO: Epoch 687/9999, Iter 68620: Loss = 0.015137915499508381, lr = [0.0001] +[2024-05-21 06:28:53,203] - INFO: Epoch 687/9999, Iter 68640: Loss = 0.00951631460338831, lr = [0.0001] +[2024-05-21 06:29:07,766] - INFO: Epoch 687/9999, Iter 68660: Loss = 0.010410324670374393, lr = [0.0001] +[2024-05-21 06:29:22,348] - INFO: Epoch 687/9999, Iter 68680: Loss = 0.011705954559147358, lr = [0.0001] +[2024-05-21 06:29:38,258] - INFO: Epoch 688/9999, Iter 68700: Loss = 0.012804954312741756, lr = [0.0001] +[2024-05-21 06:29:52,900] - INFO: Epoch 688/9999, Iter 68720: Loss = 0.008001599460840225, lr = [0.0001] +[2024-05-21 06:30:07,540] - INFO: Epoch 688/9999, Iter 68740: Loss = 0.021243836730718613, lr = [0.0001] +[2024-05-21 06:30:22,176] - INFO: Epoch 688/9999, Iter 68760: Loss = 0.013129815459251404, lr = [0.0001] +[2024-05-21 06:30:36,833] - INFO: Epoch 688/9999, Iter 68780: Loss = 0.009744326584041119, lr = [0.0001] +[2024-05-21 06:30:52,839] - INFO: Epoch 689/9999, Iter 68800: Loss = 0.009301743470132351, lr = [0.0001] +[2024-05-21 06:31:07,520] - INFO: Epoch 689/9999, Iter 68820: Loss = 0.005296490155160427, lr = [0.0001] +[2024-05-21 06:31:22,259] - INFO: Epoch 689/9999, Iter 68840: Loss = 0.020154954865574837, lr = [0.0001] +[2024-05-21 06:31:37,023] - INFO: Epoch 689/9999, Iter 68860: Loss = 0.017475256696343422, lr = [0.0001] +[2024-05-21 06:31:51,725] - INFO: Epoch 689/9999, Iter 68880: Loss = 0.013582542538642883, lr = [0.0001] +[2024-05-21 06:32:07,772] - INFO: Epoch 690/9999, Iter 68900: Loss = 0.00911500584334135, lr = [0.0001] +[2024-05-21 06:32:22,639] - INFO: Epoch 690/9999, Iter 68920: Loss = 0.011436592787504196, lr = [0.0001] +[2024-05-21 06:32:37,417] - INFO: Epoch 690/9999, Iter 68940: Loss = 0.013536931946873665, lr = [0.0001] +[2024-05-21 06:32:52,139] - INFO: Epoch 690/9999, Iter 68960: Loss = 0.015264228917658329, lr = [0.0001] +[2024-05-21 06:33:06,827] - INFO: Epoch 690/9999, Iter 68980: Loss = 0.017452452331781387, lr = [0.0001] +[2024-05-21 06:33:21,182] - INFO: Evaluate at epoch 690! +[2024-05-21 06:34:52,904] - INFO: Eval PSNR (max): 37.885 (690) SSIM (max): 0.9604 (690) +[2024-05-21 06:34:52,906] - INFO: Eval PSNR (current): 37.885 (690) SSIM (current): 0.9604 (690) +[2024-05-21 06:34:52,906] - INFO: Evaluation over. +[2024-05-21 06:36:08,506] - INFO: Epoch 691/9999, Iter 69000: Loss = 0.008613119833171368, lr = [0.0001] +[2024-05-21 06:36:22,819] - INFO: Epoch 691/9999, Iter 69020: Loss = 0.013064539059996605, lr = [0.0001] +[2024-05-21 06:36:37,224] - INFO: Epoch 691/9999, Iter 69040: Loss = 0.014746577478945255, lr = [0.0001] +[2024-05-21 06:36:51,656] - INFO: Epoch 691/9999, Iter 69060: Loss = 0.01874345727264881, lr = [0.0001] +[2024-05-21 06:37:06,046] - INFO: Epoch 691/9999, Iter 69080: Loss = 0.015674235299229622, lr = [0.0001] +[2024-05-21 06:37:21,810] - INFO: Epoch 692/9999, Iter 69100: Loss = 0.012770216912031174, lr = [0.0001] +[2024-05-21 06:37:36,301] - INFO: Epoch 692/9999, Iter 69120: Loss = 0.014313251711428165, lr = [0.0001] +[2024-05-21 06:37:50,983] - INFO: Epoch 692/9999, Iter 69140: Loss = 0.014373311772942543, lr = [0.0001] +[2024-05-21 06:38:05,461] - INFO: Epoch 692/9999, Iter 69160: Loss = 0.010909086093306541, lr = [0.0001] +[2024-05-21 06:38:19,941] - INFO: Epoch 692/9999, Iter 69180: Loss = 0.007727301679551601, lr = [0.0001] +[2024-05-21 06:38:35,668] - INFO: Epoch 693/9999, Iter 69200: Loss = 0.013099663890898228, lr = [0.0001] +[2024-05-21 06:38:50,224] - INFO: Epoch 693/9999, Iter 69220: Loss = 0.01049116998910904, lr = [0.0001] +[2024-05-21 06:39:04,791] - INFO: Epoch 693/9999, Iter 69240: Loss = 0.013505778275430202, lr = [0.0001] +[2024-05-21 06:39:19,445] - INFO: Epoch 693/9999, Iter 69260: Loss = 0.010159231722354889, lr = [0.0001] +[2024-05-21 06:39:34,040] - INFO: Epoch 693/9999, Iter 69280: Loss = 0.010364840738475323, lr = [0.0001] +[2024-05-21 06:39:50,069] - INFO: Epoch 694/9999, Iter 69300: Loss = 0.013923043385148048, lr = [0.0001] +[2024-05-21 06:40:04,704] - INFO: Epoch 694/9999, Iter 69320: Loss = 0.01165948249399662, lr = [0.0001] +[2024-05-21 06:40:19,341] - INFO: Epoch 694/9999, Iter 69340: Loss = 0.018473772332072258, lr = [0.0001] +[2024-05-21 06:40:34,064] - INFO: Epoch 694/9999, Iter 69360: Loss = 0.014927186071872711, lr = [0.0001] +[2024-05-21 06:40:48,813] - INFO: Epoch 694/9999, Iter 69380: Loss = 0.015317738056182861, lr = [0.0001] +[2024-05-21 06:41:04,986] - INFO: Epoch 695/9999, Iter 69400: Loss = 0.022939398884773254, lr = [0.0001] +[2024-05-21 06:41:19,730] - INFO: Epoch 695/9999, Iter 69420: Loss = 0.020062509924173355, lr = [0.0001] +[2024-05-21 06:41:34,395] - INFO: Epoch 695/9999, Iter 69440: Loss = 0.02263263799250126, lr = [0.0001] +[2024-05-21 06:41:49,067] - INFO: Epoch 695/9999, Iter 69460: Loss = 0.007923031225800514, lr = [0.0001] +[2024-05-21 06:42:03,794] - INFO: Epoch 695/9999, Iter 69480: Loss = 0.009044898673892021, lr = [0.0001] +[2024-05-21 06:42:18,165] - INFO: Evaluate at epoch 695! +[2024-05-21 06:42:23,153] - INFO: Eval PSNR (max): 37.885 (690) SSIM (max): 0.9604 (690) +[2024-05-21 06:42:23,153] - INFO: Eval PSNR (current): 37.786 (695) SSIM (current): 0.9602 (695) +[2024-05-21 06:42:23,153] - INFO: Evaluation over. +[2024-05-21 06:43:32,079] - INFO: Epoch 696/9999, Iter 69500: Loss = 0.008967786096036434, lr = [0.0001] +[2024-05-21 06:43:46,586] - INFO: Epoch 696/9999, Iter 69520: Loss = 0.014850860461592674, lr = [0.0001] +[2024-05-21 06:44:00,947] - INFO: Epoch 696/9999, Iter 69540: Loss = 0.0110031608492136, lr = [0.0001] +[2024-05-21 06:44:15,416] - INFO: Epoch 696/9999, Iter 69560: Loss = 0.009345083497464657, lr = [0.0001] +[2024-05-21 06:44:29,912] - INFO: Epoch 696/9999, Iter 69580: Loss = 0.016794929280877113, lr = [0.0001] +[2024-05-21 06:44:45,636] - INFO: Epoch 697/9999, Iter 69600: Loss = 0.021520618349313736, lr = [0.0001] +[2024-05-21 06:45:00,165] - INFO: Epoch 697/9999, Iter 69620: Loss = 0.014264274388551712, lr = [0.0001] +[2024-05-21 06:45:14,704] - INFO: Epoch 697/9999, Iter 69640: Loss = 0.007381896022707224, lr = [0.0001] +[2024-05-21 06:45:29,252] - INFO: Epoch 697/9999, Iter 69660: Loss = 0.018660005182027817, lr = [0.0001] +[2024-05-21 06:45:43,802] - INFO: Epoch 697/9999, Iter 69680: Loss = 0.009434684179723263, lr = [0.0001] +[2024-05-21 06:45:59,728] - INFO: Epoch 698/9999, Iter 69700: Loss = 0.02066453918814659, lr = [0.0001] +[2024-05-21 06:46:14,356] - INFO: Epoch 698/9999, Iter 69720: Loss = 0.009448416531085968, lr = [0.0001] +[2024-05-21 06:46:29,006] - INFO: Epoch 698/9999, Iter 69740: Loss = 0.013837361708283424, lr = [0.0001] +[2024-05-21 06:46:43,643] - INFO: Epoch 698/9999, Iter 69760: Loss = 0.013508772477507591, lr = [0.0001] +[2024-05-21 06:46:58,321] - INFO: Epoch 698/9999, Iter 69780: Loss = 0.008452660404145718, lr = [0.0001] +[2024-05-21 06:47:14,177] - INFO: Epoch 699/9999, Iter 69800: Loss = 0.011094281449913979, lr = [0.0001] +[2024-05-21 06:47:29,180] - INFO: Epoch 699/9999, Iter 69820: Loss = 0.00412667915225029, lr = [0.0001] +[2024-05-21 06:47:43,968] - INFO: Epoch 699/9999, Iter 69840: Loss = 0.017401304095983505, lr = [0.0001] +[2024-05-21 06:47:58,707] - INFO: Epoch 699/9999, Iter 69860: Loss = 0.021547069773077965, lr = [0.0001] +[2024-05-21 06:48:13,398] - INFO: Epoch 699/9999, Iter 69880: Loss = 0.014061962254345417, lr = [0.0001] +[2024-05-21 06:48:29,459] - INFO: Epoch 700/9999, Iter 69900: Loss = 0.009613607078790665, lr = [0.0001] +[2024-05-21 06:48:44,353] - INFO: Epoch 700/9999, Iter 69920: Loss = 0.008967735804617405, lr = [0.0001] +[2024-05-21 06:48:59,308] - INFO: Epoch 700/9999, Iter 69940: Loss = 0.019646460190415382, lr = [0.0001] +[2024-05-21 06:49:14,159] - INFO: Epoch 700/9999, Iter 69960: Loss = 0.01771589182317257, lr = [0.0001] +[2024-05-21 06:49:28,968] - INFO: Epoch 700/9999, Iter 69980: Loss = 0.012683507986366749, lr = [0.0001] +[2024-05-21 06:49:43,447] - INFO: Evaluate at epoch 700! +[2024-05-21 06:49:48,553] - INFO: Eval PSNR (max): 37.885 (690) SSIM (max): 0.9604 (690) +[2024-05-21 06:49:48,553] - INFO: Eval PSNR (current): 37.796 (700) SSIM (current): 0.9602 (700) +[2024-05-21 06:49:48,553] - INFO: Evaluation over. +[2024-05-21 06:50:34,147] - INFO: Epoch 701/9999, Iter 70000: Loss = 0.010587281547486782, lr = [0.0001] +[2024-05-21 06:50:48,760] - INFO: Epoch 701/9999, Iter 70020: Loss = 0.009938395582139492, lr = [0.0001] +[2024-05-21 06:51:03,435] - INFO: Epoch 701/9999, Iter 70040: Loss = 0.010568777099251747, lr = [0.0001] +[2024-05-21 06:51:17,946] - INFO: Epoch 701/9999, Iter 70060: Loss = 0.01258957851678133, lr = [0.0001] +[2024-05-21 06:51:32,455] - INFO: Epoch 701/9999, Iter 70080: Loss = 0.009992415085434914, lr = [0.0001] +[2024-05-21 06:51:48,198] - INFO: Epoch 702/9999, Iter 70100: Loss = 0.012715192511677742, lr = [0.0001] +[2024-05-21 06:52:02,779] - INFO: Epoch 702/9999, Iter 70120: Loss = 0.015687519684433937, lr = [0.0001] +[2024-05-21 06:52:17,288] - INFO: Epoch 702/9999, Iter 70140: Loss = 0.02336787059903145, lr = [0.0001] +[2024-05-21 06:52:31,860] - INFO: Epoch 702/9999, Iter 70160: Loss = 0.01291884295642376, lr = [0.0001] +[2024-05-21 06:52:46,480] - INFO: Epoch 702/9999, Iter 70180: Loss = 0.013790684752166271, lr = [0.0001] +[2024-05-21 06:53:02,484] - INFO: Epoch 703/9999, Iter 70200: Loss = 0.020775603130459785, lr = [0.0001] +[2024-05-21 06:53:17,284] - INFO: Epoch 703/9999, Iter 70220: Loss = 0.01019703783094883, lr = [0.0001] +[2024-05-21 06:53:31,928] - INFO: Epoch 703/9999, Iter 70240: Loss = 0.011653116904199123, lr = [0.0001] +[2024-05-21 06:53:46,645] - INFO: Epoch 703/9999, Iter 70260: Loss = 0.014051872305572033, lr = [0.0001] +[2024-05-21 06:54:01,412] - INFO: Epoch 703/9999, Iter 70280: Loss = 0.009069901891052723, lr = [0.0001] +[2024-05-21 06:54:17,360] - INFO: Epoch 704/9999, Iter 70300: Loss = 0.009762424044311047, lr = [0.0001] +[2024-05-21 06:54:32,242] - INFO: Epoch 704/9999, Iter 70320: Loss = 0.007086465600878, lr = [0.0001] +[2024-05-21 06:54:47,015] - INFO: Epoch 704/9999, Iter 70340: Loss = 0.012855191715061665, lr = [0.0001] +[2024-05-21 06:55:01,756] - INFO: Epoch 704/9999, Iter 70360: Loss = 0.007305842824280262, lr = [0.0001] +[2024-05-21 06:55:16,486] - INFO: Epoch 704/9999, Iter 70380: Loss = 0.02167520672082901, lr = [0.0001] +[2024-05-21 06:55:32,588] - INFO: Epoch 705/9999, Iter 70400: Loss = 0.009611611254513264, lr = [0.0001] +[2024-05-21 06:55:47,466] - INFO: Epoch 705/9999, Iter 70420: Loss = 0.013460194692015648, lr = [0.0001] +[2024-05-21 06:56:02,269] - INFO: Epoch 705/9999, Iter 70440: Loss = 0.01591547206044197, lr = [0.0001] +[2024-05-21 06:56:17,076] - INFO: Epoch 705/9999, Iter 70460: Loss = 0.00788781139999628, lr = [0.0001] +[2024-05-21 06:56:31,993] - INFO: Epoch 705/9999, Iter 70480: Loss = 0.012000929564237595, lr = [0.0001] +[2024-05-21 06:56:46,520] - INFO: Evaluate at epoch 705! +[2024-05-21 06:56:51,359] - INFO: Eval PSNR (max): 37.885 (690) SSIM (max): 0.9604 (690) +[2024-05-21 06:56:51,359] - INFO: Eval PSNR (current): 37.856 (705) SSIM (current): 0.9600 (705) +[2024-05-21 06:56:51,359] - INFO: Evaluation over. +[2024-05-21 06:57:36,755] - INFO: Epoch 706/9999, Iter 70500: Loss = 0.01102896686643362, lr = [0.0001] +[2024-05-21 06:57:51,332] - INFO: Epoch 706/9999, Iter 70520: Loss = 0.019625186920166016, lr = [0.0001] +[2024-05-21 06:58:05,956] - INFO: Epoch 706/9999, Iter 70540: Loss = 0.017916493117809296, lr = [0.0001] +[2024-05-21 06:58:20,551] - INFO: Epoch 706/9999, Iter 70560: Loss = 0.009653318673372269, lr = [0.0001] +[2024-05-21 06:58:35,128] - INFO: Epoch 706/9999, Iter 70580: Loss = 0.015262221917510033, lr = [0.0001] +[2024-05-21 06:58:50,949] - INFO: Epoch 707/9999, Iter 70600: Loss = 0.010554373264312744, lr = [0.0001] +[2024-05-21 06:59:05,616] - INFO: Epoch 707/9999, Iter 70620: Loss = 0.02042856067419052, lr = [0.0001] +[2024-05-21 06:59:20,142] - INFO: Epoch 707/9999, Iter 70640: Loss = 0.010817967355251312, lr = [0.0001] +[2024-05-21 06:59:34,748] - INFO: Epoch 707/9999, Iter 70660: Loss = 0.021651552990078926, lr = [0.0001] +[2024-05-21 06:59:49,376] - INFO: Epoch 707/9999, Iter 70680: Loss = 0.013466749340295792, lr = [0.0001] +[2024-05-21 07:00:05,247] - INFO: Epoch 708/9999, Iter 70700: Loss = 0.013724149204790592, lr = [0.0001] +[2024-05-21 07:00:19,908] - INFO: Epoch 708/9999, Iter 70720: Loss = 0.010496598668396473, lr = [0.0001] +[2024-05-21 07:00:34,591] - INFO: Epoch 708/9999, Iter 70740: Loss = 0.0172036774456501, lr = [0.0001] +[2024-05-21 07:00:49,219] - INFO: Epoch 708/9999, Iter 70760: Loss = 0.024750778451561928, lr = [0.0001] +[2024-05-21 07:01:03,856] - INFO: Epoch 708/9999, Iter 70780: Loss = 0.011096308939158916, lr = [0.0001] +[2024-05-21 07:01:19,599] - INFO: Epoch 709/9999, Iter 70800: Loss = 0.009598547592759132, lr = [0.0001] +[2024-05-21 07:01:34,372] - INFO: Epoch 709/9999, Iter 70820: Loss = 0.02007414773106575, lr = [0.0001] +[2024-05-21 07:01:49,124] - INFO: Epoch 709/9999, Iter 70840: Loss = 0.015562111511826515, lr = [0.0001] +[2024-05-21 07:02:03,897] - INFO: Epoch 709/9999, Iter 70860: Loss = 0.014318711124360561, lr = [0.0001] +[2024-05-21 07:02:18,748] - INFO: Epoch 709/9999, Iter 70880: Loss = 0.024525100365281105, lr = [0.0001] +[2024-05-21 07:02:34,916] - INFO: Epoch 710/9999, Iter 70900: Loss = 0.008018418215215206, lr = [0.0001] +[2024-05-21 07:02:49,920] - INFO: Epoch 710/9999, Iter 70920: Loss = 0.007611543871462345, lr = [0.0001] +[2024-05-21 07:03:04,631] - INFO: Epoch 710/9999, Iter 70940: Loss = 0.007871720939874649, lr = [0.0001] +[2024-05-21 07:03:19,373] - INFO: Epoch 710/9999, Iter 70960: Loss = 0.013170302845537663, lr = [0.0001] +[2024-05-21 07:03:34,180] - INFO: Epoch 710/9999, Iter 70980: Loss = 0.02205839566886425, lr = [0.0001] +[2024-05-21 07:03:48,643] - INFO: Evaluate at epoch 710! +[2024-05-21 07:03:53,560] - INFO: Eval PSNR (max): 37.885 (690) SSIM (max): 0.9604 (690) +[2024-05-21 07:03:53,560] - INFO: Eval PSNR (current): 37.719 (710) SSIM (current): 0.9595 (710) +[2024-05-21 07:03:53,560] - INFO: Evaluation over. +[2024-05-21 07:04:49,764] - INFO: Epoch 711/9999, Iter 71000: Loss = 0.008080407977104187, lr = [0.0001] +[2024-05-21 07:05:04,272] - INFO: Epoch 711/9999, Iter 71020: Loss = 0.008566342294216156, lr = [0.0001] +[2024-05-21 07:05:18,709] - INFO: Epoch 711/9999, Iter 71040: Loss = 0.012515159323811531, lr = [0.0001] +[2024-05-21 07:05:33,183] - INFO: Epoch 711/9999, Iter 71060: Loss = 0.011531520634889603, lr = [0.0001] +[2024-05-21 07:05:47,678] - INFO: Epoch 711/9999, Iter 71080: Loss = 0.012300604023039341, lr = [0.0001] +[2024-05-21 07:06:03,726] - INFO: Epoch 712/9999, Iter 71100: Loss = 0.016285477206110954, lr = [0.0001] +[2024-05-21 07:06:18,328] - INFO: Epoch 712/9999, Iter 71120: Loss = 0.01430084090679884, lr = [0.0001] +[2024-05-21 07:06:32,924] - INFO: Epoch 712/9999, Iter 71140: Loss = 0.01438847091048956, lr = [0.0001] +[2024-05-21 07:06:47,464] - INFO: Epoch 712/9999, Iter 71160: Loss = 0.008241190575063229, lr = [0.0001] +[2024-05-21 07:07:02,089] - INFO: Epoch 712/9999, Iter 71180: Loss = 0.02079853229224682, lr = [0.0001] +[2024-05-21 07:07:17,937] - INFO: Epoch 713/9999, Iter 71200: Loss = 0.017145177349448204, lr = [0.0001] +[2024-05-21 07:07:32,615] - INFO: Epoch 713/9999, Iter 71220: Loss = 0.018761303275823593, lr = [0.0001] +[2024-05-21 07:07:47,290] - INFO: Epoch 713/9999, Iter 71240: Loss = 0.008579272776842117, lr = [0.0001] +[2024-05-21 07:08:02,136] - INFO: Epoch 713/9999, Iter 71260: Loss = 0.010968790389597416, lr = [0.0001] +[2024-05-21 07:08:16,847] - INFO: Epoch 713/9999, Iter 71280: Loss = 0.021219439804553986, lr = [0.0001] +[2024-05-21 07:08:32,820] - INFO: Epoch 714/9999, Iter 71300: Loss = 0.013062185607850552, lr = [0.0001] +[2024-05-21 07:08:47,546] - INFO: Epoch 714/9999, Iter 71320: Loss = 0.010256933979690075, lr = [0.0001] +[2024-05-21 07:09:02,225] - INFO: Epoch 714/9999, Iter 71340: Loss = 0.011278519406914711, lr = [0.0001] +[2024-05-21 07:09:16,936] - INFO: Epoch 714/9999, Iter 71360: Loss = 0.012566749937832355, lr = [0.0001] +[2024-05-21 07:09:31,650] - INFO: Epoch 714/9999, Iter 71380: Loss = 0.017455995082855225, lr = [0.0001] +[2024-05-21 07:09:47,567] - INFO: Epoch 715/9999, Iter 71400: Loss = 0.0213175006210804, lr = [0.0001] +[2024-05-21 07:10:02,340] - INFO: Epoch 715/9999, Iter 71420: Loss = 0.009316567331552505, lr = [0.0001] +[2024-05-21 07:10:17,105] - INFO: Epoch 715/9999, Iter 71440: Loss = 0.011765509843826294, lr = [0.0001] +[2024-05-21 07:10:31,842] - INFO: Epoch 715/9999, Iter 71460: Loss = 0.014818167313933372, lr = [0.0001] +[2024-05-21 07:10:46,587] - INFO: Epoch 715/9999, Iter 71480: Loss = 0.008907572366297245, lr = [0.0001] +[2024-05-21 07:11:01,038] - INFO: Evaluate at epoch 715! +[2024-05-21 07:11:49,325] - INFO: Eval PSNR (max): 37.885 (690) SSIM (max): 0.9605 (715) +[2024-05-21 07:11:49,326] - INFO: Eval PSNR (current): 37.718 (715) SSIM (current): 0.9605 (715) +[2024-05-21 07:11:49,326] - INFO: Evaluation over. +[2024-05-21 07:12:34,092] - INFO: Epoch 716/9999, Iter 71500: Loss = 0.010194039903581142, lr = [0.0001] +[2024-05-21 07:12:48,442] - INFO: Epoch 716/9999, Iter 71520: Loss = 0.010970746167004108, lr = [0.0001] +[2024-05-21 07:13:02,854] - INFO: Epoch 716/9999, Iter 71540: Loss = 0.02075919881463051, lr = [0.0001] +[2024-05-21 07:13:17,336] - INFO: Epoch 716/9999, Iter 71560: Loss = 0.011062164790928364, lr = [0.0001] +[2024-05-21 07:13:31,743] - INFO: Epoch 716/9999, Iter 71580: Loss = 0.015400043688714504, lr = [0.0001] +[2024-05-21 07:13:47,403] - INFO: Epoch 717/9999, Iter 71600: Loss = 0.015809733420610428, lr = [0.0001] +[2024-05-21 07:14:01,944] - INFO: Epoch 717/9999, Iter 71620: Loss = 0.009380767121911049, lr = [0.0001] +[2024-05-21 07:14:16,573] - INFO: Epoch 717/9999, Iter 71640: Loss = 0.008317071944475174, lr = [0.0001] +[2024-05-21 07:14:31,101] - INFO: Epoch 717/9999, Iter 71660: Loss = 0.008933600969612598, lr = [0.0001] +[2024-05-21 07:14:45,785] - INFO: Epoch 717/9999, Iter 71680: Loss = 0.020317280665040016, lr = [0.0001] +[2024-05-21 07:15:01,663] - INFO: Epoch 718/9999, Iter 71700: Loss = 0.008474258705973625, lr = [0.0001] +[2024-05-21 07:15:16,272] - INFO: Epoch 718/9999, Iter 71720: Loss = 0.012079874984920025, lr = [0.0001] +[2024-05-21 07:15:30,920] - INFO: Epoch 718/9999, Iter 71740: Loss = 0.011136116459965706, lr = [0.0001] +[2024-05-21 07:15:45,588] - INFO: Epoch 718/9999, Iter 71760: Loss = 0.015359684824943542, lr = [0.0001] +[2024-05-21 07:16:00,234] - INFO: Epoch 718/9999, Iter 71780: Loss = 0.016893427819013596, lr = [0.0001] +[2024-05-21 07:16:16,341] - INFO: Epoch 719/9999, Iter 71800: Loss = 0.0124413026496768, lr = [0.0001] +[2024-05-21 07:16:31,108] - INFO: Epoch 719/9999, Iter 71820: Loss = 0.009842869825661182, lr = [0.0001] +[2024-05-21 07:16:45,845] - INFO: Epoch 719/9999, Iter 71840: Loss = 0.016320116817951202, lr = [0.0001] +[2024-05-21 07:17:00,592] - INFO: Epoch 719/9999, Iter 71860: Loss = 0.008879379369318485, lr = [0.0001] +[2024-05-21 07:17:15,303] - INFO: Epoch 719/9999, Iter 71880: Loss = 0.00894747395068407, lr = [0.0001] +[2024-05-21 07:17:31,193] - INFO: Epoch 720/9999, Iter 71900: Loss = 0.0032925186678767204, lr = [0.0001] +[2024-05-21 07:17:46,186] - INFO: Epoch 720/9999, Iter 71920: Loss = 0.01105155237019062, lr = [0.0001] +[2024-05-21 07:18:00,988] - INFO: Epoch 720/9999, Iter 71940: Loss = 0.009231452830135822, lr = [0.0001] +[2024-05-21 07:18:15,792] - INFO: Epoch 720/9999, Iter 71960: Loss = 0.014558913186192513, lr = [0.0001] +[2024-05-21 07:18:33,525] - INFO: Epoch 720/9999, Iter 71980: Loss = 0.0128290094435215, lr = [0.0001] +[2024-05-21 07:18:47,918] - INFO: Evaluate at epoch 720! +[2024-05-21 07:18:53,241] - INFO: Eval PSNR (max): 37.885 (690) SSIM (max): 0.9605 (715) +[2024-05-21 07:18:53,241] - INFO: Eval PSNR (current): 37.791 (720) SSIM (current): 0.9602 (720) +[2024-05-21 07:18:53,241] - INFO: Evaluation over. +[2024-05-21 07:20:14,556] - INFO: Epoch 721/9999, Iter 72000: Loss = 0.012263096868991852, lr = [0.0001] +[2024-05-21 07:20:29,028] - INFO: Epoch 721/9999, Iter 72020: Loss = 0.013164293020963669, lr = [0.0001] +[2024-05-21 07:20:43,432] - INFO: Epoch 721/9999, Iter 72040: Loss = 0.020644452422857285, lr = [0.0001] +[2024-05-21 07:20:57,818] - INFO: Epoch 721/9999, Iter 72060: Loss = 0.011511070653796196, lr = [0.0001] +[2024-05-21 07:21:12,292] - INFO: Epoch 721/9999, Iter 72080: Loss = 0.016852345317602158, lr = [0.0001] +[2024-05-21 07:21:28,033] - INFO: Epoch 722/9999, Iter 72100: Loss = 0.01574898511171341, lr = [0.0001] +[2024-05-21 07:21:42,556] - INFO: Epoch 722/9999, Iter 72120: Loss = 0.009662395343184471, lr = [0.0001] +[2024-05-21 07:21:57,089] - INFO: Epoch 722/9999, Iter 72140: Loss = 0.013712090440094471, lr = [0.0001] +[2024-05-21 07:22:11,676] - INFO: Epoch 722/9999, Iter 72160: Loss = 0.012561231851577759, lr = [0.0001] +[2024-05-21 07:22:26,264] - INFO: Epoch 722/9999, Iter 72180: Loss = 0.01362462155520916, lr = [0.0001] +[2024-05-21 07:22:42,066] - INFO: Epoch 723/9999, Iter 72200: Loss = 0.0176099743694067, lr = [0.0001] +[2024-05-21 07:22:56,681] - INFO: Epoch 723/9999, Iter 72220: Loss = 0.0168992280960083, lr = [0.0001] +[2024-05-21 07:23:11,300] - INFO: Epoch 723/9999, Iter 72240: Loss = 0.015801599249243736, lr = [0.0001] +[2024-05-21 07:23:25,944] - INFO: Epoch 723/9999, Iter 72260: Loss = 0.02272791974246502, lr = [0.0001] +[2024-05-21 07:23:40,610] - INFO: Epoch 723/9999, Iter 72280: Loss = 0.009934836998581886, lr = [0.0001] +[2024-05-21 07:23:56,864] - INFO: Epoch 724/9999, Iter 72300: Loss = 0.008733599446713924, lr = [0.0001] +[2024-05-21 07:24:11,600] - INFO: Epoch 724/9999, Iter 72320: Loss = 0.013750376179814339, lr = [0.0001] +[2024-05-21 07:24:26,267] - INFO: Epoch 724/9999, Iter 72340: Loss = 0.014586191624403, lr = [0.0001] +[2024-05-21 07:24:40,950] - INFO: Epoch 724/9999, Iter 72360: Loss = 0.014288044534623623, lr = [0.0001] +[2024-05-21 07:24:55,608] - INFO: Epoch 724/9999, Iter 72380: Loss = 0.01165082212537527, lr = [0.0001] +[2024-05-21 07:25:11,561] - INFO: Epoch 725/9999, Iter 72400: Loss = 0.014258475042879581, lr = [0.0001] +[2024-05-21 07:25:26,323] - INFO: Epoch 725/9999, Iter 72420: Loss = 0.024169912561774254, lr = [0.0001] +[2024-05-21 07:25:41,749] - INFO: Epoch 725/9999, Iter 72440: Loss = 0.01244701724499464, lr = [0.0001] +[2024-05-21 07:25:56,588] - INFO: Epoch 725/9999, Iter 72460: Loss = 0.01124347560107708, lr = [0.0001] +[2024-05-21 07:26:11,341] - INFO: Epoch 725/9999, Iter 72480: Loss = 0.009393097832798958, lr = [0.0001] +[2024-05-21 07:26:25,844] - INFO: Evaluate at epoch 725! +[2024-05-21 07:26:30,753] - INFO: Eval PSNR (max): 37.885 (690) SSIM (max): 0.9605 (715) +[2024-05-21 07:26:30,753] - INFO: Eval PSNR (current): 37.766 (725) SSIM (current): 0.9601 (725) +[2024-05-21 07:26:30,753] - INFO: Evaluation over. +[2024-05-21 07:27:16,196] - INFO: Epoch 726/9999, Iter 72500: Loss = 0.0071732159703969955, lr = [0.0001] +[2024-05-21 07:27:30,784] - INFO: Epoch 726/9999, Iter 72520: Loss = 0.015039031393826008, lr = [0.0001] +[2024-05-21 07:27:45,300] - INFO: Epoch 726/9999, Iter 72540: Loss = 0.006957316771149635, lr = [0.0001] +[2024-05-21 07:27:59,832] - INFO: Epoch 726/9999, Iter 72560: Loss = 0.014383595436811447, lr = [0.0001] +[2024-05-21 07:28:14,361] - INFO: Epoch 726/9999, Iter 72580: Loss = 0.014849334955215454, lr = [0.0001] +[2024-05-21 07:28:30,111] - INFO: Epoch 727/9999, Iter 72600: Loss = 0.02128187008202076, lr = [0.0001] +[2024-05-21 07:28:44,759] - INFO: Epoch 727/9999, Iter 72620: Loss = 0.024355733767151833, lr = [0.0001] +[2024-05-21 07:28:59,317] - INFO: Epoch 727/9999, Iter 72640: Loss = 0.010219409130513668, lr = [0.0001] +[2024-05-21 07:29:13,890] - INFO: Epoch 727/9999, Iter 72660: Loss = 0.012606349773705006, lr = [0.0001] +[2024-05-21 07:29:28,485] - INFO: Epoch 727/9999, Iter 72680: Loss = 0.02081046812236309, lr = [0.0001] +[2024-05-21 07:29:44,323] - INFO: Epoch 728/9999, Iter 72700: Loss = 0.009429804049432278, lr = [0.0001] +[2024-05-21 07:29:59,018] - INFO: Epoch 728/9999, Iter 72720: Loss = 0.021885324269533157, lr = [0.0001] +[2024-05-21 07:30:13,663] - INFO: Epoch 728/9999, Iter 72740: Loss = 0.024544309824705124, lr = [0.0001] +[2024-05-21 07:30:28,402] - INFO: Epoch 728/9999, Iter 72760: Loss = 0.015538626350462437, lr = [0.0001] +[2024-05-21 07:30:43,184] - INFO: Epoch 728/9999, Iter 72780: Loss = 0.016366804018616676, lr = [0.0001] +[2024-05-21 07:30:59,207] - INFO: Epoch 729/9999, Iter 72800: Loss = 0.020923616364598274, lr = [0.0001] +[2024-05-21 07:31:14,092] - INFO: Epoch 729/9999, Iter 72820: Loss = 0.007782898843288422, lr = [0.0001] +[2024-05-21 07:31:28,770] - INFO: Epoch 729/9999, Iter 72840: Loss = 0.01720592938363552, lr = [0.0001] +[2024-05-21 07:31:43,395] - INFO: Epoch 729/9999, Iter 72860: Loss = 0.009785698726773262, lr = [0.0001] +[2024-05-21 07:31:58,144] - INFO: Epoch 729/9999, Iter 72880: Loss = 0.011882276274263859, lr = [0.0001] +[2024-05-21 07:32:14,053] - INFO: Epoch 730/9999, Iter 72900: Loss = 0.013231657445430756, lr = [0.0001] +[2024-05-21 07:32:28,830] - INFO: Epoch 730/9999, Iter 72920: Loss = 0.014499342069029808, lr = [0.0001] +[2024-05-21 07:32:43,716] - INFO: Epoch 730/9999, Iter 72940: Loss = 0.011536280624568462, lr = [0.0001] +[2024-05-21 07:32:58,426] - INFO: Epoch 730/9999, Iter 72960: Loss = 0.01482644397765398, lr = [0.0001] +[2024-05-21 07:33:13,204] - INFO: Epoch 730/9999, Iter 72980: Loss = 0.013998526148498058, lr = [0.0001] +[2024-05-21 07:33:27,651] - INFO: Evaluate at epoch 730! +[2024-05-21 07:33:32,566] - INFO: Eval PSNR (max): 37.885 (690) SSIM (max): 0.9605 (715) +[2024-05-21 07:33:32,566] - INFO: Eval PSNR (current): 37.775 (730) SSIM (current): 0.9601 (730) +[2024-05-21 07:33:32,566] - INFO: Evaluation over. +[2024-05-21 07:34:17,316] - INFO: Epoch 731/9999, Iter 73000: Loss = 0.01060943491756916, lr = [0.0001] +[2024-05-21 07:34:31,831] - INFO: Epoch 731/9999, Iter 73020: Loss = 0.023381251841783524, lr = [0.0001] +[2024-05-21 07:34:46,551] - INFO: Epoch 731/9999, Iter 73040: Loss = 0.01682467758655548, lr = [0.0001] +[2024-05-21 07:35:01,102] - INFO: Epoch 731/9999, Iter 73060: Loss = 0.008250725455582142, lr = [0.0001] +[2024-05-21 07:35:15,576] - INFO: Epoch 731/9999, Iter 73080: Loss = 0.014601452276110649, lr = [0.0001] +[2024-05-21 07:35:31,348] - INFO: Epoch 732/9999, Iter 73100: Loss = 0.013897375203669071, lr = [0.0001] +[2024-05-21 07:35:46,022] - INFO: Epoch 732/9999, Iter 73120: Loss = 0.01717441901564598, lr = [0.0001] +[2024-05-21 07:36:00,604] - INFO: Epoch 732/9999, Iter 73140: Loss = 0.01765849068760872, lr = [0.0001] +[2024-05-21 07:36:15,180] - INFO: Epoch 732/9999, Iter 73160: Loss = 0.01767810620367527, lr = [0.0001] +[2024-05-21 07:36:29,791] - INFO: Epoch 732/9999, Iter 73180: Loss = 0.011475276201963425, lr = [0.0001] +[2024-05-21 07:36:45,838] - INFO: Epoch 733/9999, Iter 73200: Loss = 0.025126313790678978, lr = [0.0001] +[2024-05-21 07:37:00,584] - INFO: Epoch 733/9999, Iter 73220: Loss = 0.013161902315914631, lr = [0.0001] +[2024-05-21 07:37:15,303] - INFO: Epoch 733/9999, Iter 73240: Loss = 0.011776931583881378, lr = [0.0001] +[2024-05-21 07:37:30,021] - INFO: Epoch 733/9999, Iter 73260: Loss = 0.016202621161937714, lr = [0.0001] +[2024-05-21 07:37:44,709] - INFO: Epoch 733/9999, Iter 73280: Loss = 0.013294965960085392, lr = [0.0001] +[2024-05-21 07:38:00,736] - INFO: Epoch 734/9999, Iter 73300: Loss = 0.007465002592653036, lr = [0.0001] +[2024-05-21 07:38:15,564] - INFO: Epoch 734/9999, Iter 73320: Loss = 0.015563706867396832, lr = [0.0001] +[2024-05-21 07:38:30,379] - INFO: Epoch 734/9999, Iter 73340: Loss = 0.016838183626532555, lr = [0.0001] +[2024-05-21 07:38:45,121] - INFO: Epoch 734/9999, Iter 73360: Loss = 0.008663599379360676, lr = [0.0001] +[2024-05-21 07:38:59,952] - INFO: Epoch 734/9999, Iter 73380: Loss = 0.006560569163411856, lr = [0.0001] +[2024-05-21 07:39:16,036] - INFO: Epoch 735/9999, Iter 73400: Loss = 0.013197444379329681, lr = [0.0001] +[2024-05-21 07:39:30,972] - INFO: Epoch 735/9999, Iter 73420: Loss = 0.013346814550459385, lr = [0.0001] +[2024-05-21 07:39:45,753] - INFO: Epoch 735/9999, Iter 73440: Loss = 0.021500760689377785, lr = [0.0001] +[2024-05-21 07:40:00,556] - INFO: Epoch 735/9999, Iter 73460: Loss = 0.01716543734073639, lr = [0.0001] +[2024-05-21 07:40:15,432] - INFO: Epoch 735/9999, Iter 73480: Loss = 0.01489285845309496, lr = [0.0001] +[2024-05-21 07:40:29,933] - INFO: Evaluate at epoch 735! +[2024-05-21 07:40:34,800] - INFO: Eval PSNR (max): 37.885 (690) SSIM (max): 0.9605 (715) +[2024-05-21 07:40:34,800] - INFO: Eval PSNR (current): 37.697 (735) SSIM (current): 0.9601 (735) +[2024-05-21 07:40:34,801] - INFO: Evaluation over. +[2024-05-21 07:41:19,948] - INFO: Epoch 736/9999, Iter 73500: Loss = 0.012662854976952076, lr = [0.0001] +[2024-05-21 07:41:34,519] - INFO: Epoch 736/9999, Iter 73520: Loss = 0.013345636427402496, lr = [0.0001] +[2024-05-21 07:41:49,044] - INFO: Epoch 736/9999, Iter 73540: Loss = 0.010442875325679779, lr = [0.0001] +[2024-05-21 07:42:03,622] - INFO: Epoch 736/9999, Iter 73560: Loss = 0.015563529916107655, lr = [0.0001] +[2024-05-21 07:42:18,132] - INFO: Epoch 736/9999, Iter 73580: Loss = 0.017224371433258057, lr = [0.0001] +[2024-05-21 07:42:33,796] - INFO: Epoch 737/9999, Iter 73600: Loss = 0.015838023275136948, lr = [0.0001] +[2024-05-21 07:42:48,387] - INFO: Epoch 737/9999, Iter 73620: Loss = 0.01931840367615223, lr = [0.0001] +[2024-05-21 07:43:03,034] - INFO: Epoch 737/9999, Iter 73640: Loss = 0.010458272881805897, lr = [0.0001] +[2024-05-21 07:43:17,668] - INFO: Epoch 737/9999, Iter 73660: Loss = 0.009980904869735241, lr = [0.0001] +[2024-05-21 07:43:32,286] - INFO: Epoch 737/9999, Iter 73680: Loss = 0.006698933430016041, lr = [0.0001] +[2024-05-21 07:43:48,112] - INFO: Epoch 738/9999, Iter 73700: Loss = 0.018182847648859024, lr = [0.0001] +[2024-05-21 07:44:02,794] - INFO: Epoch 738/9999, Iter 73720: Loss = 0.017280807718634605, lr = [0.0001] +[2024-05-21 07:44:17,424] - INFO: Epoch 738/9999, Iter 73740: Loss = 0.017144080251455307, lr = [0.0001] +[2024-05-21 07:44:32,149] - INFO: Epoch 738/9999, Iter 73760: Loss = 0.014471490867435932, lr = [0.0001] +[2024-05-21 07:44:46,882] - INFO: Epoch 738/9999, Iter 73780: Loss = 0.013749993406236172, lr = [0.0001] +[2024-05-21 07:45:02,836] - INFO: Epoch 739/9999, Iter 73800: Loss = 0.011883369646966457, lr = [0.0001] +[2024-05-21 07:45:17,687] - INFO: Epoch 739/9999, Iter 73820: Loss = 0.007803816348314285, lr = [0.0001] +[2024-05-21 07:45:32,410] - INFO: Epoch 739/9999, Iter 73840: Loss = 0.012180328369140625, lr = [0.0001] +[2024-05-21 07:45:47,232] - INFO: Epoch 739/9999, Iter 73860: Loss = 0.016124572604894638, lr = [0.0001] +[2024-05-21 07:46:02,035] - INFO: Epoch 739/9999, Iter 73880: Loss = 0.015698585659265518, lr = [0.0001] +[2024-05-21 07:46:18,049] - INFO: Epoch 740/9999, Iter 73900: Loss = 0.01657991111278534, lr = [0.0001] +[2024-05-21 07:46:32,896] - INFO: Epoch 740/9999, Iter 73920: Loss = 0.010743658058345318, lr = [0.0001] +[2024-05-21 07:46:47,604] - INFO: Epoch 740/9999, Iter 73940: Loss = 0.011150779202580452, lr = [0.0001] +[2024-05-21 07:47:02,392] - INFO: Epoch 740/9999, Iter 73960: Loss = 0.007612396031618118, lr = [0.0001] +[2024-05-21 07:47:17,228] - INFO: Epoch 740/9999, Iter 73980: Loss = 0.01988917589187622, lr = [0.0001] +[2024-05-21 07:47:31,782] - INFO: Evaluate at epoch 740! +[2024-05-21 07:47:36,677] - INFO: Eval PSNR (max): 37.885 (690) SSIM (max): 0.9605 (715) +[2024-05-21 07:47:36,677] - INFO: Eval PSNR (current): 37.728 (740) SSIM (current): 0.9600 (740) +[2024-05-21 07:47:36,678] - INFO: Evaluation over. +[2024-05-21 07:48:21,208] - INFO: Epoch 741/9999, Iter 74000: Loss = 0.013472819700837135, lr = [0.0001] +[2024-05-21 07:48:35,812] - INFO: Epoch 741/9999, Iter 74020: Loss = 0.02489340677857399, lr = [0.0001] +[2024-05-21 07:48:50,368] - INFO: Epoch 741/9999, Iter 74040: Loss = 0.009465435519814491, lr = [0.0001] +[2024-05-21 07:49:04,860] - INFO: Epoch 741/9999, Iter 74060: Loss = 0.004608985967934132, lr = [0.0001] +[2024-05-21 07:49:19,396] - INFO: Epoch 741/9999, Iter 74080: Loss = 0.017855698242783546, lr = [0.0001] +[2024-05-21 07:49:35,261] - INFO: Epoch 742/9999, Iter 74100: Loss = 0.012823587283492088, lr = [0.0001] +[2024-05-21 07:49:49,891] - INFO: Epoch 742/9999, Iter 74120: Loss = 0.014399374835193157, lr = [0.0001] +[2024-05-21 07:50:04,480] - INFO: Epoch 742/9999, Iter 74140: Loss = 0.008720268495380878, lr = [0.0001] +[2024-05-21 07:50:19,090] - INFO: Epoch 742/9999, Iter 74160: Loss = 0.010160578414797783, lr = [0.0001] +[2024-05-21 07:50:33,705] - INFO: Epoch 742/9999, Iter 74180: Loss = 0.01603812538087368, lr = [0.0001] +[2024-05-21 07:50:49,755] - INFO: Epoch 743/9999, Iter 74200: Loss = 0.015867454931139946, lr = [0.0001] +[2024-05-21 07:51:04,562] - INFO: Epoch 743/9999, Iter 74220: Loss = 0.01177949644625187, lr = [0.0001] +[2024-05-21 07:51:19,274] - INFO: Epoch 743/9999, Iter 74240: Loss = 0.011208344250917435, lr = [0.0001] +[2024-05-21 07:51:34,091] - INFO: Epoch 743/9999, Iter 74260: Loss = 0.004719800315797329, lr = [0.0001] +[2024-05-21 07:51:48,784] - INFO: Epoch 743/9999, Iter 74280: Loss = 0.010903161950409412, lr = [0.0001] +[2024-05-21 07:52:04,997] - INFO: Epoch 744/9999, Iter 74300: Loss = 0.02794782817363739, lr = [0.0001] +[2024-05-21 07:52:19,824] - INFO: Epoch 744/9999, Iter 74320: Loss = 0.015211622230708599, lr = [0.0001] +[2024-05-21 07:52:34,611] - INFO: Epoch 744/9999, Iter 74340: Loss = 0.020668555051088333, lr = [0.0001] +[2024-05-21 07:52:49,462] - INFO: Epoch 744/9999, Iter 74360: Loss = 0.011207256466150284, lr = [0.0001] +[2024-05-21 07:53:04,247] - INFO: Epoch 744/9999, Iter 74380: Loss = 0.010573375970125198, lr = [0.0001] +[2024-05-21 07:53:20,189] - INFO: Epoch 745/9999, Iter 74400: Loss = 0.009068137966096401, lr = [0.0001] +[2024-05-21 07:53:35,042] - INFO: Epoch 745/9999, Iter 74420: Loss = 0.014177368022501469, lr = [0.0001] +[2024-05-21 07:53:49,819] - INFO: Epoch 745/9999, Iter 74440: Loss = 0.018937570974230766, lr = [0.0001] +[2024-05-21 07:54:04,652] - INFO: Epoch 745/9999, Iter 74460: Loss = 0.010828346014022827, lr = [0.0001] +[2024-05-21 07:54:19,540] - INFO: Epoch 745/9999, Iter 74480: Loss = 0.015037786215543747, lr = [0.0001] +[2024-05-21 07:54:33,961] - INFO: Evaluate at epoch 745! +[2024-05-21 07:54:38,999] - INFO: Eval PSNR (max): 37.885 (690) SSIM (max): 0.9605 (715) +[2024-05-21 07:54:38,999] - INFO: Eval PSNR (current): 37.847 (745) SSIM (current): 0.9600 (745) +[2024-05-21 07:54:38,999] - INFO: Evaluation over. +[2024-05-21 07:55:23,873] - INFO: Epoch 746/9999, Iter 74500: Loss = 0.008330141194164753, lr = [0.0001] +[2024-05-21 07:55:38,562] - INFO: Epoch 746/9999, Iter 74520: Loss = 0.02022348903119564, lr = [0.0001] +[2024-05-21 07:55:53,150] - INFO: Epoch 746/9999, Iter 74540: Loss = 0.024437865242362022, lr = [0.0001] +[2024-05-21 07:56:07,664] - INFO: Epoch 746/9999, Iter 74560: Loss = 0.01904984749853611, lr = [0.0001] +[2024-05-21 07:56:22,269] - INFO: Epoch 746/9999, Iter 74580: Loss = 0.02105032093822956, lr = [0.0001] +[2024-05-21 07:56:38,160] - INFO: Epoch 747/9999, Iter 74600: Loss = 0.012906566262245178, lr = [0.0001] +[2024-05-21 07:56:52,798] - INFO: Epoch 747/9999, Iter 74620: Loss = 0.023596515879034996, lr = [0.0001] +[2024-05-21 07:57:07,416] - INFO: Epoch 747/9999, Iter 74640: Loss = 0.01317671313881874, lr = [0.0001] +[2024-05-21 07:57:22,051] - INFO: Epoch 747/9999, Iter 74660: Loss = 0.015554644167423248, lr = [0.0001] +[2024-05-21 07:57:36,670] - INFO: Epoch 747/9999, Iter 74680: Loss = 0.015602821484208107, lr = [0.0001] +[2024-05-21 07:57:52,736] - INFO: Epoch 748/9999, Iter 74700: Loss = 0.016486799344420433, lr = [0.0001] +[2024-05-21 07:58:07,421] - INFO: Epoch 748/9999, Iter 74720: Loss = 0.017094098031520844, lr = [0.0001] +[2024-05-21 07:58:22,083] - INFO: Epoch 748/9999, Iter 74740: Loss = 0.015111850574612617, lr = [0.0001] +[2024-05-21 07:58:36,754] - INFO: Epoch 748/9999, Iter 74760: Loss = 0.017279373481869698, lr = [0.0001] +[2024-05-21 07:58:51,494] - INFO: Epoch 748/9999, Iter 74780: Loss = 0.007359576411545277, lr = [0.0001] +[2024-05-21 07:59:07,588] - INFO: Epoch 749/9999, Iter 74800: Loss = 0.010683282278478146, lr = [0.0001] +[2024-05-21 07:59:22,387] - INFO: Epoch 749/9999, Iter 74820: Loss = 0.011540279723703861, lr = [0.0001] +[2024-05-21 07:59:37,428] - INFO: Epoch 749/9999, Iter 74840: Loss = 0.0062594120390713215, lr = [0.0001] +[2024-05-21 07:59:52,154] - INFO: Epoch 749/9999, Iter 74860: Loss = 0.01925569958984852, lr = [0.0001] +[2024-05-21 08:00:06,912] - INFO: Epoch 749/9999, Iter 74880: Loss = 0.013440550304949284, lr = [0.0001] +[2024-05-21 08:00:23,097] - INFO: Epoch 750/9999, Iter 74900: Loss = 0.018290875479578972, lr = [0.0001] +[2024-05-21 08:00:37,994] - INFO: Epoch 750/9999, Iter 74920: Loss = 0.005714932922273874, lr = [0.0001] +[2024-05-21 08:00:52,746] - INFO: Epoch 750/9999, Iter 74940: Loss = 0.019324960187077522, lr = [0.0001] +[2024-05-21 08:01:07,568] - INFO: Epoch 750/9999, Iter 74960: Loss = 0.007170671597123146, lr = [0.0001] +[2024-05-21 08:01:22,403] - INFO: Epoch 750/9999, Iter 74980: Loss = 0.019491730257868767, lr = [0.0001] +[2024-05-21 08:01:36,830] - INFO: Evaluate at epoch 750! +[2024-05-21 08:01:41,945] - INFO: Eval PSNR (max): 37.885 (690) SSIM (max): 0.9605 (715) +[2024-05-21 08:01:41,945] - INFO: Eval PSNR (current): 37.772 (750) SSIM (current): 0.9600 (750) +[2024-05-21 08:01:41,945] - INFO: Evaluation over. +[2024-05-21 08:02:26,762] - INFO: Epoch 751/9999, Iter 75000: Loss = 0.009443281218409538, lr = [0.0001] +[2024-05-21 08:02:41,491] - INFO: Epoch 751/9999, Iter 75020: Loss = 0.02043144591152668, lr = [0.0001] +[2024-05-21 08:02:56,052] - INFO: Epoch 751/9999, Iter 75040: Loss = 0.024615317583084106, lr = [0.0001] +[2024-05-21 08:03:10,576] - INFO: Epoch 751/9999, Iter 75060: Loss = 0.020873183384537697, lr = [0.0001] +[2024-05-21 08:03:25,152] - INFO: Epoch 751/9999, Iter 75080: Loss = 0.024662265554070473, lr = [0.0001] +[2024-05-21 08:03:40,830] - INFO: Epoch 752/9999, Iter 75100: Loss = 0.013749562203884125, lr = [0.0001] +[2024-05-21 08:03:55,508] - INFO: Epoch 752/9999, Iter 75120: Loss = 0.018457047641277313, lr = [0.0001] +[2024-05-21 08:04:10,100] - INFO: Epoch 752/9999, Iter 75140: Loss = 0.018378421664237976, lr = [0.0001] +[2024-05-21 08:04:24,649] - INFO: Epoch 752/9999, Iter 75160: Loss = 0.016797149553894997, lr = [0.0001] +[2024-05-21 08:04:39,360] - INFO: Epoch 752/9999, Iter 75180: Loss = 0.015685398131608963, lr = [0.0001] +[2024-05-21 08:04:55,490] - INFO: Epoch 753/9999, Iter 75200: Loss = 0.007677908521145582, lr = [0.0001] +[2024-05-21 08:05:10,200] - INFO: Epoch 753/9999, Iter 75220: Loss = 0.011622332036495209, lr = [0.0001] +[2024-05-21 08:05:24,851] - INFO: Epoch 753/9999, Iter 75240: Loss = 0.014286295510828495, lr = [0.0001] +[2024-05-21 08:05:39,643] - INFO: Epoch 753/9999, Iter 75260: Loss = 0.01739557273685932, lr = [0.0001] +[2024-05-21 08:05:54,336] - INFO: Epoch 753/9999, Iter 75280: Loss = 0.018962735310196877, lr = [0.0001] +[2024-05-21 08:06:10,176] - INFO: Epoch 754/9999, Iter 75300: Loss = 0.010984908789396286, lr = [0.0001] +[2024-05-21 08:06:24,962] - INFO: Epoch 754/9999, Iter 75320: Loss = 0.015908891335129738, lr = [0.0001] +[2024-05-21 08:06:39,756] - INFO: Epoch 754/9999, Iter 75340: Loss = 0.016314534470438957, lr = [0.0001] +[2024-05-21 08:06:54,487] - INFO: Epoch 754/9999, Iter 75360: Loss = 0.0062251100316643715, lr = [0.0001] +[2024-05-21 08:07:09,185] - INFO: Epoch 754/9999, Iter 75380: Loss = 0.01718275249004364, lr = [0.0001] +[2024-05-21 08:07:25,249] - INFO: Epoch 755/9999, Iter 75400: Loss = 0.015117716044187546, lr = [0.0001] +[2024-05-21 08:07:40,150] - INFO: Epoch 755/9999, Iter 75420: Loss = 0.01806522347033024, lr = [0.0001] +[2024-05-21 08:07:54,959] - INFO: Epoch 755/9999, Iter 75440: Loss = 0.011770514771342278, lr = [0.0001] +[2024-05-21 08:08:09,871] - INFO: Epoch 755/9999, Iter 75460: Loss = 0.01578829064965248, lr = [0.0001] +[2024-05-21 08:08:24,663] - INFO: Epoch 755/9999, Iter 75480: Loss = 0.015659132972359657, lr = [0.0001] +[2024-05-21 08:08:39,150] - INFO: Evaluate at epoch 755! +[2024-05-21 08:08:44,033] - INFO: Eval PSNR (max): 37.885 (690) SSIM (max): 0.9605 (715) +[2024-05-21 08:08:44,034] - INFO: Eval PSNR (current): 37.743 (755) SSIM (current): 0.9603 (755) +[2024-05-21 08:08:44,034] - INFO: Evaluation over. +[2024-05-21 08:09:42,380] - INFO: Epoch 756/9999, Iter 75500: Loss = 0.01120420265942812, lr = [0.0001] +[2024-05-21 08:09:56,974] - INFO: Epoch 756/9999, Iter 75520: Loss = 0.012608467601239681, lr = [0.0001] +[2024-05-21 08:10:11,540] - INFO: Epoch 756/9999, Iter 75540: Loss = 0.01860954239964485, lr = [0.0001] +[2024-05-21 08:10:26,092] - INFO: Epoch 756/9999, Iter 75560: Loss = 0.009112556464970112, lr = [0.0001] +[2024-05-21 08:10:40,515] - INFO: Epoch 756/9999, Iter 75580: Loss = 0.011499431915581226, lr = [0.0001] +[2024-05-21 08:10:56,248] - INFO: Epoch 757/9999, Iter 75600: Loss = 0.010111615993082523, lr = [0.0001] +[2024-05-21 08:11:11,070] - INFO: Epoch 757/9999, Iter 75620: Loss = 0.025395996868610382, lr = [0.0001] +[2024-05-21 08:11:25,605] - INFO: Epoch 757/9999, Iter 75640: Loss = 0.015189768746495247, lr = [0.0001] +[2024-05-21 08:11:40,191] - INFO: Epoch 757/9999, Iter 75660: Loss = 0.010377625934779644, lr = [0.0001] +[2024-05-21 08:11:54,780] - INFO: Epoch 757/9999, Iter 75680: Loss = 0.011479401960968971, lr = [0.0001] +[2024-05-21 08:12:10,571] - INFO: Epoch 758/9999, Iter 75700: Loss = 0.010206790640950203, lr = [0.0001] +[2024-05-21 08:12:25,212] - INFO: Epoch 758/9999, Iter 75720: Loss = 0.010469222441315651, lr = [0.0001] +[2024-05-21 08:12:39,975] - INFO: Epoch 758/9999, Iter 75740: Loss = 0.011001233011484146, lr = [0.0001] +[2024-05-21 08:12:54,772] - INFO: Epoch 758/9999, Iter 75760: Loss = 0.010736407712101936, lr = [0.0001] +[2024-05-21 08:13:09,428] - INFO: Epoch 758/9999, Iter 75780: Loss = 0.014514130540192127, lr = [0.0001] +[2024-05-21 08:13:25,410] - INFO: Epoch 759/9999, Iter 75800: Loss = 0.010671842843294144, lr = [0.0001] +[2024-05-21 08:13:40,125] - INFO: Epoch 759/9999, Iter 75820: Loss = 0.009329153224825859, lr = [0.0001] +[2024-05-21 08:13:54,848] - INFO: Epoch 759/9999, Iter 75840: Loss = 0.00877975020557642, lr = [0.0001] +[2024-05-21 08:14:09,505] - INFO: Epoch 759/9999, Iter 75860: Loss = 0.012891006655991077, lr = [0.0001] +[2024-05-21 08:14:24,304] - INFO: Epoch 759/9999, Iter 75880: Loss = 0.01995401456952095, lr = [0.0001] +[2024-05-21 08:14:40,376] - INFO: Epoch 760/9999, Iter 75900: Loss = 0.007879613898694515, lr = [0.0001] +[2024-05-21 08:14:55,236] - INFO: Epoch 760/9999, Iter 75920: Loss = 0.020476849749684334, lr = [0.0001] +[2024-05-21 08:15:10,057] - INFO: Epoch 760/9999, Iter 75940: Loss = 0.009807064197957516, lr = [0.0001] +[2024-05-21 08:15:24,810] - INFO: Epoch 760/9999, Iter 75960: Loss = 0.005563793238252401, lr = [0.0001] +[2024-05-21 08:15:39,566] - INFO: Epoch 760/9999, Iter 75980: Loss = 0.008436438627541065, lr = [0.0001] +[2024-05-21 08:15:53,998] - INFO: Evaluate at epoch 760! +[2024-05-21 08:15:59,318] - INFO: Eval PSNR (max): 37.885 (690) SSIM (max): 0.9605 (715) +[2024-05-21 08:15:59,318] - INFO: Eval PSNR (current): 37.769 (760) SSIM (current): 0.9598 (760) +[2024-05-21 08:15:59,318] - INFO: Evaluation over. +[2024-05-21 08:16:44,577] - INFO: Epoch 761/9999, Iter 76000: Loss = 0.017978567630052567, lr = [0.0001] +[2024-05-21 08:16:59,104] - INFO: Epoch 761/9999, Iter 76020: Loss = 0.017177656292915344, lr = [0.0001] +[2024-05-21 08:17:13,679] - INFO: Epoch 761/9999, Iter 76040: Loss = 0.013932442292571068, lr = [0.0001] +[2024-05-21 08:17:28,398] - INFO: Epoch 761/9999, Iter 76060: Loss = 0.00816928967833519, lr = [0.0001] +[2024-05-21 08:17:42,938] - INFO: Epoch 761/9999, Iter 76080: Loss = 0.009672174230217934, lr = [0.0001] +[2024-05-21 08:17:58,789] - INFO: Epoch 762/9999, Iter 76100: Loss = 0.01420264970511198, lr = [0.0001] +[2024-05-21 08:18:13,440] - INFO: Epoch 762/9999, Iter 76120: Loss = 0.012172266840934753, lr = [0.0001] +[2024-05-21 08:18:28,060] - INFO: Epoch 762/9999, Iter 76140: Loss = 0.0077897123992443085, lr = [0.0001] +[2024-05-21 08:18:42,604] - INFO: Epoch 762/9999, Iter 76160: Loss = 0.019680805504322052, lr = [0.0001] +[2024-05-21 08:18:57,153] - INFO: Epoch 762/9999, Iter 76180: Loss = 0.013031630776822567, lr = [0.0001] +[2024-05-21 08:19:13,042] - INFO: Epoch 763/9999, Iter 76200: Loss = 0.011126856319606304, lr = [0.0001] +[2024-05-21 08:19:27,689] - INFO: Epoch 763/9999, Iter 76220: Loss = 0.018230944871902466, lr = [0.0001] +[2024-05-21 08:19:42,365] - INFO: Epoch 763/9999, Iter 76240: Loss = 0.01981905847787857, lr = [0.0001] +[2024-05-21 08:19:57,040] - INFO: Epoch 763/9999, Iter 76260: Loss = 0.017910821363329887, lr = [0.0001] +[2024-05-21 08:20:11,681] - INFO: Epoch 763/9999, Iter 76280: Loss = 0.014524675905704498, lr = [0.0001] +[2024-05-21 08:20:27,664] - INFO: Epoch 764/9999, Iter 76300: Loss = 0.011356424540281296, lr = [0.0001] +[2024-05-21 08:20:42,461] - INFO: Epoch 764/9999, Iter 76320: Loss = 0.015406150370836258, lr = [0.0001] +[2024-05-21 08:21:00,711] - INFO: Epoch 764/9999, Iter 76340: Loss = 0.021272793412208557, lr = [0.0001] +[2024-05-21 08:21:17,747] - INFO: Epoch 764/9999, Iter 76360: Loss = 0.016579747200012207, lr = [0.0001] +[2024-05-21 08:21:35,780] - INFO: Epoch 764/9999, Iter 76380: Loss = 0.021336721256375313, lr = [0.0001] +[2024-05-21 08:21:55,492] - INFO: Epoch 765/9999, Iter 76400: Loss = 0.01278411690145731, lr = [0.0001] +[2024-05-21 08:22:10,878] - INFO: Epoch 765/9999, Iter 76420: Loss = 0.018365109339356422, lr = [0.0001] +[2024-05-21 08:22:27,832] - INFO: Epoch 765/9999, Iter 76440: Loss = 0.015486113727092743, lr = [0.0001] +[2024-05-21 08:22:43,168] - INFO: Epoch 765/9999, Iter 76460: Loss = 0.006996857468038797, lr = [0.0001] +[2024-05-21 08:22:57,968] - INFO: Epoch 765/9999, Iter 76480: Loss = 0.009617195464670658, lr = [0.0001] +[2024-05-21 08:23:12,331] - INFO: Evaluate at epoch 765! +[2024-05-21 08:23:17,508] - INFO: Eval PSNR (max): 37.885 (690) SSIM (max): 0.9605 (715) +[2024-05-21 08:23:17,508] - INFO: Eval PSNR (current): 37.879 (765) SSIM (current): 0.9604 (765) +[2024-05-21 08:23:17,508] - INFO: Evaluation over. +[2024-05-21 08:24:10,460] - INFO: Epoch 766/9999, Iter 76500: Loss = 0.011336077004671097, lr = [0.0001] +[2024-05-21 08:24:24,905] - INFO: Epoch 766/9999, Iter 76520: Loss = 0.013812229037284851, lr = [0.0001] +[2024-05-21 08:24:39,404] - INFO: Epoch 766/9999, Iter 76540: Loss = 0.01194864884018898, lr = [0.0001] +[2024-05-21 08:24:53,900] - INFO: Epoch 766/9999, Iter 76560: Loss = 0.01510572899132967, lr = [0.0001] +[2024-05-21 08:25:08,439] - INFO: Epoch 766/9999, Iter 76580: Loss = 0.008219372481107712, lr = [0.0001] +[2024-05-21 08:25:24,295] - INFO: Epoch 767/9999, Iter 76600: Loss = 0.004686137195676565, lr = [0.0001] +[2024-05-21 08:25:38,948] - INFO: Epoch 767/9999, Iter 76620: Loss = 0.023134686052799225, lr = [0.0001] +[2024-05-21 08:25:53,557] - INFO: Epoch 767/9999, Iter 76640: Loss = 0.01492464542388916, lr = [0.0001] +[2024-05-21 08:26:08,206] - INFO: Epoch 767/9999, Iter 76660: Loss = 0.011167719028890133, lr = [0.0001] +[2024-05-21 08:26:22,932] - INFO: Epoch 767/9999, Iter 76680: Loss = 0.013207266107201576, lr = [0.0001] +[2024-05-21 08:26:38,702] - INFO: Epoch 768/9999, Iter 76700: Loss = 0.01648791879415512, lr = [0.0001] +[2024-05-21 08:26:53,346] - INFO: Epoch 768/9999, Iter 76720: Loss = 0.01543781254440546, lr = [0.0001] +[2024-05-21 08:27:08,049] - INFO: Epoch 768/9999, Iter 76740: Loss = 0.007956157438457012, lr = [0.0001] +[2024-05-21 08:27:22,744] - INFO: Epoch 768/9999, Iter 76760: Loss = 0.008850468322634697, lr = [0.0001] +[2024-05-21 08:27:37,347] - INFO: Epoch 768/9999, Iter 76780: Loss = 0.012217284180223942, lr = [0.0001] +[2024-05-21 08:27:56,092] - INFO: Epoch 769/9999, Iter 76800: Loss = 0.015406293794512749, lr = [0.0001] +[2024-05-21 08:28:10,968] - INFO: Epoch 769/9999, Iter 76820: Loss = 0.011727158911526203, lr = [0.0001] +[2024-05-21 08:28:25,631] - INFO: Epoch 769/9999, Iter 76840: Loss = 0.014091814868152142, lr = [0.0001] +[2024-05-21 08:28:40,356] - INFO: Epoch 769/9999, Iter 76860: Loss = 0.007409677840769291, lr = [0.0001] +[2024-05-21 08:28:55,104] - INFO: Epoch 769/9999, Iter 76880: Loss = 0.00864140223711729, lr = [0.0001] +[2024-05-21 08:29:10,982] - INFO: Epoch 770/9999, Iter 76900: Loss = 0.018804915249347687, lr = [0.0001] +[2024-05-21 08:29:25,732] - INFO: Epoch 770/9999, Iter 76920: Loss = 0.00984104909002781, lr = [0.0001] +[2024-05-21 08:29:40,522] - INFO: Epoch 770/9999, Iter 76940: Loss = 0.009204278700053692, lr = [0.0001] +[2024-05-21 08:29:55,424] - INFO: Epoch 770/9999, Iter 76960: Loss = 0.011387886479496956, lr = [0.0001] +[2024-05-21 08:30:10,194] - INFO: Epoch 770/9999, Iter 76980: Loss = 0.011113305576145649, lr = [0.0001] +[2024-05-21 08:30:24,632] - INFO: Evaluate at epoch 770! +[2024-05-21 08:30:29,634] - INFO: Eval PSNR (max): 37.885 (690) SSIM (max): 0.9605 (715) +[2024-05-21 08:30:29,634] - INFO: Eval PSNR (current): 37.637 (770) SSIM (current): 0.9598 (770) +[2024-05-21 08:30:29,634] - INFO: Evaluation over. +[2024-05-21 08:31:14,182] - INFO: Epoch 771/9999, Iter 77000: Loss = 0.012147190049290657, lr = [0.0001] +[2024-05-21 08:31:28,775] - INFO: Epoch 771/9999, Iter 77020: Loss = 0.01277371495962143, lr = [0.0001] +[2024-05-21 08:31:43,280] - INFO: Epoch 771/9999, Iter 77040: Loss = 0.018238069489598274, lr = [0.0001] +[2024-05-21 08:31:57,841] - INFO: Epoch 771/9999, Iter 77060: Loss = 0.01045013777911663, lr = [0.0001] +[2024-05-21 08:32:12,424] - INFO: Epoch 771/9999, Iter 77080: Loss = 0.018535874783992767, lr = [0.0001] +[2024-05-21 08:32:28,170] - INFO: Epoch 772/9999, Iter 77100: Loss = 0.015940317884087563, lr = [0.0001] +[2024-05-21 08:32:42,857] - INFO: Epoch 772/9999, Iter 77120: Loss = 0.011720520444214344, lr = [0.0001] +[2024-05-21 08:32:57,467] - INFO: Epoch 772/9999, Iter 77140: Loss = 0.008152436465024948, lr = [0.0001] +[2024-05-21 08:33:12,097] - INFO: Epoch 772/9999, Iter 77160: Loss = 0.015468222089111805, lr = [0.0001] +[2024-05-21 08:33:26,710] - INFO: Epoch 772/9999, Iter 77180: Loss = 0.013334567658603191, lr = [0.0001] +[2024-05-21 08:33:42,615] - INFO: Epoch 773/9999, Iter 77200: Loss = 0.015154743567109108, lr = [0.0001] +[2024-05-21 08:33:57,348] - INFO: Epoch 773/9999, Iter 77220: Loss = 0.006158915814012289, lr = [0.0001] +[2024-05-21 08:34:12,053] - INFO: Epoch 773/9999, Iter 77240: Loss = 0.012496632523834705, lr = [0.0001] +[2024-05-21 08:34:26,724] - INFO: Epoch 773/9999, Iter 77260: Loss = 0.01377596240490675, lr = [0.0001] +[2024-05-21 08:34:41,448] - INFO: Epoch 773/9999, Iter 77280: Loss = 0.022240612655878067, lr = [0.0001] +[2024-05-21 08:34:57,308] - INFO: Epoch 774/9999, Iter 77300: Loss = 0.01599866896867752, lr = [0.0001] +[2024-05-21 08:35:12,146] - INFO: Epoch 774/9999, Iter 77320: Loss = 0.017449356615543365, lr = [0.0001] +[2024-05-21 08:35:26,888] - INFO: Epoch 774/9999, Iter 77340: Loss = 0.020077981054782867, lr = [0.0001] +[2024-05-21 08:35:41,683] - INFO: Epoch 774/9999, Iter 77360: Loss = 0.012074976228177547, lr = [0.0001] +[2024-05-21 08:35:56,478] - INFO: Epoch 774/9999, Iter 77380: Loss = 0.015326368622481823, lr = [0.0001] +[2024-05-21 08:36:12,776] - INFO: Epoch 775/9999, Iter 77400: Loss = 0.013851748779416084, lr = [0.0001] +[2024-05-21 08:36:27,627] - INFO: Epoch 775/9999, Iter 77420: Loss = 0.009433765895664692, lr = [0.0001] +[2024-05-21 08:36:42,455] - INFO: Epoch 775/9999, Iter 77440: Loss = 0.012039355002343655, lr = [0.0001] +[2024-05-21 08:36:57,280] - INFO: Epoch 775/9999, Iter 77460: Loss = 0.012640436179935932, lr = [0.0001] +[2024-05-21 08:37:12,207] - INFO: Epoch 775/9999, Iter 77480: Loss = 0.0128715131431818, lr = [0.0001] +[2024-05-21 08:37:26,696] - INFO: Evaluate at epoch 775! +[2024-05-21 08:37:31,587] - INFO: Eval PSNR (max): 37.885 (690) SSIM (max): 0.9605 (715) +[2024-05-21 08:37:31,588] - INFO: Eval PSNR (current): 37.874 (775) SSIM (current): 0.9604 (775) +[2024-05-21 08:37:31,588] - INFO: Evaluation over. +[2024-05-21 08:38:16,590] - INFO: Epoch 776/9999, Iter 77500: Loss = 0.009111340157687664, lr = [0.0001] +[2024-05-21 08:38:31,168] - INFO: Epoch 776/9999, Iter 77520: Loss = 0.01962042786180973, lr = [0.0001] +[2024-05-21 08:38:45,724] - INFO: Epoch 776/9999, Iter 77540: Loss = 0.012737602926790714, lr = [0.0001] +[2024-05-21 08:39:00,311] - INFO: Epoch 776/9999, Iter 77560: Loss = 0.012014572508633137, lr = [0.0001] +[2024-05-21 08:39:14,858] - INFO: Epoch 776/9999, Iter 77580: Loss = 0.01202976144850254, lr = [0.0001] +[2024-05-21 08:39:30,816] - INFO: Epoch 777/9999, Iter 77600: Loss = 0.01516264583915472, lr = [0.0001] +[2024-05-21 08:39:45,512] - INFO: Epoch 777/9999, Iter 77620: Loss = 0.01176124531775713, lr = [0.0001] +[2024-05-21 08:40:00,206] - INFO: Epoch 777/9999, Iter 77640: Loss = 0.01833106391131878, lr = [0.0001] +[2024-05-21 08:40:14,846] - INFO: Epoch 777/9999, Iter 77660: Loss = 0.009042138233780861, lr = [0.0001] +[2024-05-21 08:40:29,447] - INFO: Epoch 777/9999, Iter 77680: Loss = 0.011300538666546345, lr = [0.0001] +[2024-05-21 08:40:45,452] - INFO: Epoch 778/9999, Iter 77700: Loss = 0.008157913573086262, lr = [0.0001] +[2024-05-21 08:41:00,098] - INFO: Epoch 778/9999, Iter 77720: Loss = 0.0188238937407732, lr = [0.0001] +[2024-05-21 08:41:14,720] - INFO: Epoch 778/9999, Iter 77740: Loss = 0.01499833445996046, lr = [0.0001] +[2024-05-21 08:41:29,424] - INFO: Epoch 778/9999, Iter 77760: Loss = 0.013675091788172722, lr = [0.0001] +[2024-05-21 08:41:44,118] - INFO: Epoch 778/9999, Iter 77780: Loss = 0.015406818129122257, lr = [0.0001] +[2024-05-21 08:42:00,251] - INFO: Epoch 779/9999, Iter 77800: Loss = 0.012949585914611816, lr = [0.0001] +[2024-05-21 08:42:15,052] - INFO: Epoch 779/9999, Iter 77820: Loss = 0.011529332958161831, lr = [0.0001] +[2024-05-21 08:42:29,803] - INFO: Epoch 779/9999, Iter 77840: Loss = 0.012618206441402435, lr = [0.0001] +[2024-05-21 08:42:44,592] - INFO: Epoch 779/9999, Iter 77860: Loss = 0.009997082874178886, lr = [0.0001] +[2024-05-21 08:42:59,377] - INFO: Epoch 779/9999, Iter 77880: Loss = 0.01673879101872444, lr = [0.0001] +[2024-05-21 08:43:15,392] - INFO: Epoch 780/9999, Iter 77900: Loss = 0.01760421320796013, lr = [0.0001] +[2024-05-21 08:43:30,213] - INFO: Epoch 780/9999, Iter 77920: Loss = 0.011361707001924515, lr = [0.0001] +[2024-05-21 08:43:44,964] - INFO: Epoch 780/9999, Iter 77940: Loss = 0.016635479405522346, lr = [0.0001] +[2024-05-21 08:43:59,832] - INFO: Epoch 780/9999, Iter 77960: Loss = 0.00910099782049656, lr = [0.0001] +[2024-05-21 08:44:14,682] - INFO: Epoch 780/9999, Iter 77980: Loss = 0.012666345573961735, lr = [0.0001] +[2024-05-21 08:44:29,063] - INFO: Evaluate at epoch 780! +[2024-05-21 08:44:34,059] - INFO: Eval PSNR (max): 37.885 (690) SSIM (max): 0.9605 (715) +[2024-05-21 08:44:34,059] - INFO: Eval PSNR (current): 37.821 (780) SSIM (current): 0.9601 (780) +[2024-05-21 08:44:34,059] - INFO: Evaluation over. +[2024-05-21 08:45:18,846] - INFO: Epoch 781/9999, Iter 78000: Loss = 0.013834286481142044, lr = [0.0001] +[2024-05-21 08:45:33,495] - INFO: Epoch 781/9999, Iter 78020: Loss = 0.008200590498745441, lr = [0.0001] +[2024-05-21 08:45:48,043] - INFO: Epoch 781/9999, Iter 78040: Loss = 0.016740255057811737, lr = [0.0001] +[2024-05-21 08:46:02,588] - INFO: Epoch 781/9999, Iter 78060: Loss = 0.01311125885695219, lr = [0.0001] +[2024-05-21 08:46:17,148] - INFO: Epoch 781/9999, Iter 78080: Loss = 0.009358983486890793, lr = [0.0001] +[2024-05-21 08:46:32,969] - INFO: Epoch 782/9999, Iter 78100: Loss = 0.014988522045314312, lr = [0.0001] +[2024-05-21 08:46:47,605] - INFO: Epoch 782/9999, Iter 78120: Loss = 0.009811864234507084, lr = [0.0001] +[2024-05-21 08:47:02,167] - INFO: Epoch 782/9999, Iter 78140: Loss = 0.014734039083123207, lr = [0.0001] +[2024-05-21 08:47:16,713] - INFO: Epoch 782/9999, Iter 78160: Loss = 0.015101386234164238, lr = [0.0001] +[2024-05-21 08:47:31,328] - INFO: Epoch 782/9999, Iter 78180: Loss = 0.013515285216271877, lr = [0.0001] +[2024-05-21 08:47:47,269] - INFO: Epoch 783/9999, Iter 78200: Loss = 0.011135052889585495, lr = [0.0001] +[2024-05-21 08:48:02,053] - INFO: Epoch 783/9999, Iter 78220: Loss = 0.00770169822499156, lr = [0.0001] +[2024-05-21 08:48:16,739] - INFO: Epoch 783/9999, Iter 78240: Loss = 0.019259454682469368, lr = [0.0001] +[2024-05-21 08:48:31,488] - INFO: Epoch 783/9999, Iter 78260: Loss = 0.01209964044392109, lr = [0.0001] +[2024-05-21 08:48:46,158] - INFO: Epoch 783/9999, Iter 78280: Loss = 0.013046902604401112, lr = [0.0001] +[2024-05-21 08:49:01,920] - INFO: Epoch 784/9999, Iter 78300: Loss = 0.01827617548406124, lr = [0.0001] +[2024-05-21 08:49:16,799] - INFO: Epoch 784/9999, Iter 78320: Loss = 0.014946887269616127, lr = [0.0001] +[2024-05-21 08:49:31,511] - INFO: Epoch 784/9999, Iter 78340: Loss = 0.011123070493340492, lr = [0.0001] +[2024-05-21 08:49:46,177] - INFO: Epoch 784/9999, Iter 78360: Loss = 0.006497126072645187, lr = [0.0001] +[2024-05-21 08:50:00,895] - INFO: Epoch 784/9999, Iter 78380: Loss = 0.011868882924318314, lr = [0.0001] +[2024-05-21 08:50:16,848] - INFO: Epoch 785/9999, Iter 78400: Loss = 0.01618366874754429, lr = [0.0001] +[2024-05-21 08:50:31,641] - INFO: Epoch 785/9999, Iter 78420: Loss = 0.014463508501648903, lr = [0.0001] +[2024-05-21 08:50:46,519] - INFO: Epoch 785/9999, Iter 78440: Loss = 0.014866136014461517, lr = [0.0001] +[2024-05-21 08:51:01,240] - INFO: Epoch 785/9999, Iter 78460: Loss = 0.008785788901150227, lr = [0.0001] +[2024-05-21 08:51:16,080] - INFO: Epoch 785/9999, Iter 78480: Loss = 0.011481927707791328, lr = [0.0001] +[2024-05-21 08:51:30,514] - INFO: Evaluate at epoch 785! +[2024-05-21 08:51:35,517] - INFO: Eval PSNR (max): 37.885 (690) SSIM (max): 0.9605 (715) +[2024-05-21 08:51:35,517] - INFO: Eval PSNR (current): 37.788 (785) SSIM (current): 0.9600 (785) +[2024-05-21 08:51:35,517] - INFO: Evaluation over. +[2024-05-21 08:52:22,828] - INFO: Epoch 786/9999, Iter 78500: Loss = 0.015499202534556389, lr = [0.0001] +[2024-05-21 08:52:37,275] - INFO: Epoch 786/9999, Iter 78520: Loss = 0.009613913483917713, lr = [0.0001] +[2024-05-21 08:52:52,019] - INFO: Epoch 786/9999, Iter 78540: Loss = 0.013959592208266258, lr = [0.0001] +[2024-05-21 08:53:06,508] - INFO: Epoch 786/9999, Iter 78560: Loss = 0.01830107346177101, lr = [0.0001] +[2024-05-21 08:53:21,066] - INFO: Epoch 786/9999, Iter 78580: Loss = 0.010622762143611908, lr = [0.0001] +[2024-05-21 08:53:36,975] - INFO: Epoch 787/9999, Iter 78600: Loss = 0.021464049816131592, lr = [0.0001] +[2024-05-21 08:53:51,596] - INFO: Epoch 787/9999, Iter 78620: Loss = 0.010978588834404945, lr = [0.0001] +[2024-05-21 08:54:06,182] - INFO: Epoch 787/9999, Iter 78640: Loss = 0.017386971041560173, lr = [0.0001] +[2024-05-21 08:54:20,803] - INFO: Epoch 787/9999, Iter 78660: Loss = 0.011844213120639324, lr = [0.0001] +[2024-05-21 08:54:35,607] - INFO: Epoch 787/9999, Iter 78680: Loss = 0.013110716827213764, lr = [0.0001] +[2024-05-21 08:54:51,473] - INFO: Epoch 788/9999, Iter 78700: Loss = 0.013711921870708466, lr = [0.0001] +[2024-05-21 08:55:06,117] - INFO: Epoch 788/9999, Iter 78720: Loss = 0.012697006575763226, lr = [0.0001] +[2024-05-21 08:55:20,875] - INFO: Epoch 788/9999, Iter 78740: Loss = 0.005217129364609718, lr = [0.0001] +[2024-05-21 08:55:35,624] - INFO: Epoch 788/9999, Iter 78760: Loss = 0.01217894908040762, lr = [0.0001] +[2024-05-21 08:55:50,434] - INFO: Epoch 788/9999, Iter 78780: Loss = 0.013278908096253872, lr = [0.0001] +[2024-05-21 08:56:06,235] - INFO: Epoch 789/9999, Iter 78800: Loss = 0.009381371550261974, lr = [0.0001] +[2024-05-21 08:56:21,144] - INFO: Epoch 789/9999, Iter 78820: Loss = 0.010364129208028316, lr = [0.0001] +[2024-05-21 08:56:35,946] - INFO: Epoch 789/9999, Iter 78840: Loss = 0.007538294419646263, lr = [0.0001] +[2024-05-21 08:56:50,736] - INFO: Epoch 789/9999, Iter 78860: Loss = 0.011598644778132439, lr = [0.0001] +[2024-05-21 08:57:05,536] - INFO: Epoch 789/9999, Iter 78880: Loss = 0.010814249515533447, lr = [0.0001] +[2024-05-21 08:57:21,763] - INFO: Epoch 790/9999, Iter 78900: Loss = 0.021334538236260414, lr = [0.0001] +[2024-05-21 08:57:36,725] - INFO: Epoch 790/9999, Iter 78920: Loss = 0.015997447073459625, lr = [0.0001] +[2024-05-21 08:57:51,640] - INFO: Epoch 790/9999, Iter 78940: Loss = 0.01583133451640606, lr = [0.0001] +[2024-05-21 08:58:06,464] - INFO: Epoch 790/9999, Iter 78960: Loss = 0.01108213048428297, lr = [0.0001] +[2024-05-21 08:58:21,376] - INFO: Epoch 790/9999, Iter 78980: Loss = 0.013130798935890198, lr = [0.0001] +[2024-05-21 08:58:35,875] - INFO: Evaluate at epoch 790! +[2024-05-21 08:58:40,996] - INFO: Eval PSNR (max): 37.885 (690) SSIM (max): 0.9605 (715) +[2024-05-21 08:58:40,996] - INFO: Eval PSNR (current): 37.675 (790) SSIM (current): 0.9604 (790) +[2024-05-21 08:58:40,996] - INFO: Evaluation over. +[2024-05-21 09:03:20,835] - INFO: Epoch 791/9999, Iter 79000: Loss = 0.010102622210979462, lr = [0.0001] +[2024-05-21 09:03:35,056] - INFO: Epoch 791/9999, Iter 79020: Loss = 0.019018253311514854, lr = [0.0001] +[2024-05-21 09:03:49,347] - INFO: Epoch 791/9999, Iter 79040: Loss = 0.011499941349029541, lr = [0.0001] +[2024-05-21 09:04:03,652] - INFO: Epoch 791/9999, Iter 79060: Loss = 0.01306501030921936, lr = [0.0001] +[2024-05-21 09:04:18,021] - INFO: Epoch 791/9999, Iter 79080: Loss = 0.012323384173214436, lr = [0.0001] +[2024-05-21 09:04:33,740] - INFO: Epoch 792/9999, Iter 79100: Loss = 0.013017694465816021, lr = [0.0001] +[2024-05-21 09:04:48,222] - INFO: Epoch 792/9999, Iter 79120: Loss = 0.014412224292755127, lr = [0.0001] +[2024-05-21 09:05:02,722] - INFO: Epoch 792/9999, Iter 79140: Loss = 0.007340291514992714, lr = [0.0001] +[2024-05-21 09:05:17,211] - INFO: Epoch 792/9999, Iter 79160: Loss = 0.007856450043618679, lr = [0.0001] +[2024-05-21 09:05:31,695] - INFO: Epoch 792/9999, Iter 79180: Loss = 0.012417994439601898, lr = [0.0001] +[2024-05-21 09:05:47,482] - INFO: Epoch 793/9999, Iter 79200: Loss = 0.009941953234374523, lr = [0.0001] +[2024-05-21 09:06:02,019] - INFO: Epoch 793/9999, Iter 79220: Loss = 0.017443744465708733, lr = [0.0001] +[2024-05-21 09:06:16,664] - INFO: Epoch 793/9999, Iter 79240: Loss = 0.01763714849948883, lr = [0.0001] +[2024-05-21 09:06:31,296] - INFO: Epoch 793/9999, Iter 79260: Loss = 0.01236715354025364, lr = [0.0001] +[2024-05-21 09:06:45,879] - INFO: Epoch 793/9999, Iter 79280: Loss = 0.012779193930327892, lr = [0.0001] +[2024-05-21 09:07:01,724] - INFO: Epoch 794/9999, Iter 79300: Loss = 0.013149021193385124, lr = [0.0001] +[2024-05-21 09:07:16,432] - INFO: Epoch 794/9999, Iter 79320: Loss = 0.008373428136110306, lr = [0.0001] +[2024-05-21 09:07:31,138] - INFO: Epoch 794/9999, Iter 79340: Loss = 0.012569149024784565, lr = [0.0001] +[2024-05-21 09:07:45,938] - INFO: Epoch 794/9999, Iter 79360: Loss = 0.017295505851507187, lr = [0.0001] +[2024-05-21 09:08:00,735] - INFO: Epoch 794/9999, Iter 79380: Loss = 0.012021929956972599, lr = [0.0001] +[2024-05-21 09:08:16,880] - INFO: Epoch 795/9999, Iter 79400: Loss = 0.009738380089402199, lr = [0.0001] +[2024-05-21 09:08:31,661] - INFO: Epoch 795/9999, Iter 79420: Loss = 0.015041093342006207, lr = [0.0001] +[2024-05-21 09:08:46,467] - INFO: Epoch 795/9999, Iter 79440: Loss = 0.013509700074791908, lr = [0.0001] +[2024-05-21 09:09:01,208] - INFO: Epoch 795/9999, Iter 79460: Loss = 0.008122519589960575, lr = [0.0001] +[2024-05-21 09:09:16,058] - INFO: Epoch 795/9999, Iter 79480: Loss = 0.012754197232425213, lr = [0.0001] +[2024-05-21 09:09:30,532] - INFO: Evaluate at epoch 795! +[2024-05-21 09:10:40,556] - INFO: Eval PSNR (max): 37.903 (795) SSIM (max): 0.9605 (715) +[2024-05-21 09:10:40,565] - INFO: Eval PSNR (current): 37.903 (795) SSIM (current): 0.9604 (795) +[2024-05-21 09:10:40,565] - INFO: Evaluation over. +[2024-05-21 09:11:27,904] - INFO: Epoch 796/9999, Iter 79500: Loss = 0.0053994180634617805, lr = [0.0001] +[2024-05-21 09:11:42,244] - INFO: Epoch 796/9999, Iter 79520: Loss = 0.010539856739342213, lr = [0.0001] +[2024-05-21 09:11:56,673] - INFO: Epoch 796/9999, Iter 79540: Loss = 0.005695128347724676, lr = [0.0001] +[2024-05-21 09:12:11,024] - INFO: Epoch 796/9999, Iter 79560: Loss = 0.027490412816405296, lr = [0.0001] +[2024-05-21 09:12:25,416] - INFO: Epoch 796/9999, Iter 79580: Loss = 0.013129904866218567, lr = [0.0001] +[2024-05-21 09:12:41,200] - INFO: Epoch 797/9999, Iter 79600: Loss = 0.008920656517148018, lr = [0.0001] +[2024-05-21 09:12:55,696] - INFO: Epoch 797/9999, Iter 79620: Loss = 0.01856532134115696, lr = [0.0001] +[2024-05-21 09:13:10,192] - INFO: Epoch 797/9999, Iter 79640: Loss = 0.01857065036892891, lr = [0.0001] +[2024-05-21 09:13:24,692] - INFO: Epoch 797/9999, Iter 79660: Loss = 0.00871338602155447, lr = [0.0001] +[2024-05-21 09:13:39,316] - INFO: Epoch 797/9999, Iter 79680: Loss = 0.00946649257093668, lr = [0.0001] +[2024-05-21 09:13:55,100] - INFO: Epoch 798/9999, Iter 79700: Loss = 0.011287795379757881, lr = [0.0001] +[2024-05-21 09:14:09,644] - INFO: Epoch 798/9999, Iter 79720: Loss = 0.011707346886396408, lr = [0.0001] +[2024-05-21 09:14:24,244] - INFO: Epoch 798/9999, Iter 79740: Loss = 0.018279507756233215, lr = [0.0001] +[2024-05-21 09:14:38,792] - INFO: Epoch 798/9999, Iter 79760: Loss = 0.007959999144077301, lr = [0.0001] +[2024-05-21 09:14:53,418] - INFO: Epoch 798/9999, Iter 79780: Loss = 0.014310208149254322, lr = [0.0001] +[2024-05-21 09:15:09,487] - INFO: Epoch 799/9999, Iter 79800: Loss = 0.02239525318145752, lr = [0.0001] +[2024-05-21 09:15:24,083] - INFO: Epoch 799/9999, Iter 79820: Loss = 0.01461853552609682, lr = [0.0001] +[2024-05-21 09:15:38,736] - INFO: Epoch 799/9999, Iter 79840: Loss = 0.007541668135672808, lr = [0.0001] +[2024-05-21 09:15:53,499] - INFO: Epoch 799/9999, Iter 79860: Loss = 0.017890963703393936, lr = [0.0001] +[2024-05-21 09:16:08,224] - INFO: Epoch 799/9999, Iter 79880: Loss = 0.013233374804258347, lr = [0.0001] +[2024-05-21 09:16:24,310] - INFO: Epoch 800/9999, Iter 79900: Loss = 0.013000828213989735, lr = [0.0001] +[2024-05-21 09:16:39,120] - INFO: Epoch 800/9999, Iter 79920: Loss = 0.01939217746257782, lr = [0.0001] +[2024-05-21 09:16:53,924] - INFO: Epoch 800/9999, Iter 79940: Loss = 0.015250415541231632, lr = [0.0001] +[2024-05-21 09:17:08,819] - INFO: Epoch 800/9999, Iter 79960: Loss = 0.013197610154747963, lr = [0.0001] +[2024-05-21 09:17:23,636] - INFO: Epoch 800/9999, Iter 79980: Loss = 0.006250040605664253, lr = [0.0001] +[2024-05-21 09:17:38,033] - INFO: Evaluate at epoch 800! +[2024-05-21 09:17:43,134] - INFO: Eval PSNR (max): 37.903 (795) SSIM (max): 0.9605 (715) +[2024-05-21 09:17:43,135] - INFO: Eval PSNR (current): 37.847 (800) SSIM (current): 0.9603 (800) +[2024-05-21 09:17:43,135] - INFO: Evaluation over. +[2024-05-21 09:18:30,480] - INFO: Epoch 801/9999, Iter 80000: Loss = 0.008942208252847195, lr = [0.0001] +[2024-05-21 09:18:45,007] - INFO: Epoch 801/9999, Iter 80020: Loss = 0.017155582085251808, lr = [0.0001] +[2024-05-21 09:18:59,529] - INFO: Epoch 801/9999, Iter 80040: Loss = 0.009744242765009403, lr = [0.0001] +[2024-05-21 09:19:14,026] - INFO: Epoch 801/9999, Iter 80060: Loss = 0.012650558724999428, lr = [0.0001] +[2024-05-21 09:19:43,820] - INFO: Epoch 801/9999, Iter 80080: Loss = 0.015314437448978424, lr = [0.0001] +[2024-05-21 09:19:59,748] - INFO: Epoch 802/9999, Iter 80100: Loss = 0.016237858682870865, lr = [0.0001] +[2024-05-21 09:20:14,278] - INFO: Epoch 802/9999, Iter 80120: Loss = 0.011537059210240841, lr = [0.0001] +[2024-05-21 09:20:28,749] - INFO: Epoch 802/9999, Iter 80140: Loss = 0.0073142508044838905, lr = [0.0001] +[2024-05-21 09:20:43,215] - INFO: Epoch 802/9999, Iter 80160: Loss = 0.011299677193164825, lr = [0.0001] +[2024-05-21 09:21:33,008] - INFO: Epoch 802/9999, Iter 80180: Loss = 0.015942072495818138, lr = [0.0001] +[2024-05-21 09:21:48,861] - INFO: Epoch 803/9999, Iter 80200: Loss = 0.022194186225533485, lr = [0.0001] +[2024-05-21 09:22:03,379] - INFO: Epoch 803/9999, Iter 80220: Loss = 0.009350738488137722, lr = [0.0001] +[2024-05-21 09:22:17,844] - INFO: Epoch 803/9999, Iter 80240: Loss = 0.01771203614771366, lr = [0.0001] +[2024-05-21 09:22:32,239] - INFO: Epoch 803/9999, Iter 80260: Loss = 0.014614103361964226, lr = [0.0001] +[2024-05-21 09:22:46,731] - INFO: Epoch 803/9999, Iter 80280: Loss = 0.01095892395824194, lr = [0.0001] +[2024-05-21 09:23:02,777] - INFO: Epoch 804/9999, Iter 80300: Loss = 0.009286540560424328, lr = [0.0001] +[2024-05-21 09:23:19,082] - INFO: Epoch 804/9999, Iter 80320: Loss = 0.01806112378835678, lr = [0.0001] +[2024-05-21 09:23:33,612] - INFO: Epoch 804/9999, Iter 80340: Loss = 0.014275778084993362, lr = [0.0001] +[2024-05-21 09:23:48,227] - INFO: Epoch 804/9999, Iter 80360: Loss = 0.011984228156507015, lr = [0.0001] +[2024-05-21 09:24:02,918] - INFO: Epoch 804/9999, Iter 80380: Loss = 0.017020495608448982, lr = [0.0001] +[2024-05-21 09:24:18,884] - INFO: Epoch 805/9999, Iter 80400: Loss = 0.01180938258767128, lr = [0.0001] +[2024-05-21 09:24:33,540] - INFO: Epoch 805/9999, Iter 80420: Loss = 0.015694262459874153, lr = [0.0001] +[2024-05-21 09:24:48,226] - INFO: Epoch 805/9999, Iter 80440: Loss = 0.013521714136004448, lr = [0.0001] +[2024-05-21 09:25:02,908] - INFO: Epoch 805/9999, Iter 80460: Loss = 0.006463867612183094, lr = [0.0001] +[2024-05-21 09:25:17,632] - INFO: Epoch 805/9999, Iter 80480: Loss = 0.01191859133541584, lr = [0.0001] +[2024-05-21 09:25:32,002] - INFO: Evaluate at epoch 805! +[2024-05-21 09:25:37,069] - INFO: Eval PSNR (max): 37.903 (795) SSIM (max): 0.9605 (715) +[2024-05-21 09:25:37,069] - INFO: Eval PSNR (current): 37.888 (805) SSIM (current): 0.9602 (805) +[2024-05-21 09:25:37,069] - INFO: Evaluation over. +[2024-05-21 09:26:23,412] - INFO: Epoch 806/9999, Iter 80500: Loss = 0.012240816839039326, lr = [0.0001] +[2024-05-21 09:26:37,928] - INFO: Epoch 806/9999, Iter 80520: Loss = 0.018324406817555428, lr = [0.0001] +[2024-05-21 09:26:52,475] - INFO: Epoch 806/9999, Iter 80540: Loss = 0.016301805153489113, lr = [0.0001] +[2024-05-21 09:27:06,998] - INFO: Epoch 806/9999, Iter 80560: Loss = 0.012296758592128754, lr = [0.0001] +[2024-05-21 09:27:21,535] - INFO: Epoch 806/9999, Iter 80580: Loss = 0.009144337847828865, lr = [0.0001] +[2024-05-21 09:27:45,318] - INFO: Epoch 807/9999, Iter 80600: Loss = 0.01463498454540968, lr = [0.0001] +[2024-05-21 09:28:00,457] - INFO: Epoch 807/9999, Iter 80620: Loss = 0.021841486915946007, lr = [0.0001] +[2024-05-21 09:28:15,028] - INFO: Epoch 807/9999, Iter 80640: Loss = 0.013918251730501652, lr = [0.0001] +[2024-05-21 09:28:29,596] - INFO: Epoch 807/9999, Iter 80660: Loss = 0.010507190600037575, lr = [0.0001] +[2024-05-21 09:28:44,153] - INFO: Epoch 807/9999, Iter 80680: Loss = 0.0070592910051345825, lr = [0.0001] +[2024-05-21 09:29:00,044] - INFO: Epoch 808/9999, Iter 80700: Loss = 0.01448394637554884, lr = [0.0001] +[2024-05-21 09:29:14,793] - INFO: Epoch 808/9999, Iter 80720: Loss = 0.01409565843641758, lr = [0.0001] +[2024-05-21 09:29:29,454] - INFO: Epoch 808/9999, Iter 80740: Loss = 0.011699181981384754, lr = [0.0001] +[2024-05-21 09:29:44,153] - INFO: Epoch 808/9999, Iter 80760: Loss = 0.01709005981683731, lr = [0.0001] +[2024-05-21 09:29:58,878] - INFO: Epoch 808/9999, Iter 80780: Loss = 0.017435073852539062, lr = [0.0001] +[2024-05-21 09:30:14,840] - INFO: Epoch 809/9999, Iter 80800: Loss = 0.012724132277071476, lr = [0.0001] +[2024-05-21 09:30:29,628] - INFO: Epoch 809/9999, Iter 80820: Loss = 0.00936044380068779, lr = [0.0001] +[2024-05-21 09:30:44,356] - INFO: Epoch 809/9999, Iter 80840: Loss = 0.013054769486188889, lr = [0.0001] +[2024-05-21 09:30:59,101] - INFO: Epoch 809/9999, Iter 80860: Loss = 0.015843864530324936, lr = [0.0001] +[2024-05-21 09:31:13,842] - INFO: Epoch 809/9999, Iter 80880: Loss = 0.023993132635951042, lr = [0.0001] +[2024-05-21 09:31:29,871] - INFO: Epoch 810/9999, Iter 80900: Loss = 0.011413288302719593, lr = [0.0001] +[2024-05-21 09:31:44,802] - INFO: Epoch 810/9999, Iter 80920: Loss = 0.02003246359527111, lr = [0.0001] +[2024-05-21 09:31:59,574] - INFO: Epoch 810/9999, Iter 80940: Loss = 0.006272811442613602, lr = [0.0001] +[2024-05-21 09:32:14,459] - INFO: Epoch 810/9999, Iter 80960: Loss = 0.010505120269954205, lr = [0.0001] +[2024-05-21 09:32:29,291] - INFO: Epoch 810/9999, Iter 80980: Loss = 0.016609862446784973, lr = [0.0001] +[2024-05-21 09:32:43,717] - INFO: Evaluate at epoch 810! +[2024-05-21 09:32:48,684] - INFO: Eval PSNR (max): 37.903 (795) SSIM (max): 0.9605 (715) +[2024-05-21 09:32:48,684] - INFO: Eval PSNR (current): 37.764 (810) SSIM (current): 0.9599 (810) +[2024-05-21 09:32:48,684] - INFO: Evaluation over. +[2024-05-21 09:33:34,757] - INFO: Epoch 811/9999, Iter 81000: Loss = 0.008816534653306007, lr = [0.0001] +[2024-05-21 09:33:49,257] - INFO: Epoch 811/9999, Iter 81020: Loss = 0.01785496063530445, lr = [0.0001] +[2024-05-21 09:34:03,684] - INFO: Epoch 811/9999, Iter 81040: Loss = 0.004481058102101088, lr = [0.0001] +[2024-05-21 09:34:18,232] - INFO: Epoch 811/9999, Iter 81060: Loss = 0.013238705694675446, lr = [0.0001] +[2024-05-21 09:34:32,767] - INFO: Epoch 811/9999, Iter 81080: Loss = 0.007810404524207115, lr = [0.0001] +[2024-05-21 09:34:48,424] - INFO: Epoch 812/9999, Iter 81100: Loss = 0.025487683713436127, lr = [0.0001] +[2024-05-21 09:35:02,937] - INFO: Epoch 812/9999, Iter 81120: Loss = 0.018572712317109108, lr = [0.0001] +[2024-05-21 09:35:17,548] - INFO: Epoch 812/9999, Iter 81140: Loss = 0.012352128513157368, lr = [0.0001] +[2024-05-21 09:35:32,133] - INFO: Epoch 812/9999, Iter 81160: Loss = 0.018591443076729774, lr = [0.0001] +[2024-05-21 09:35:46,719] - INFO: Epoch 812/9999, Iter 81180: Loss = 0.008944693021476269, lr = [0.0001] +[2024-05-21 09:36:02,736] - INFO: Epoch 813/9999, Iter 81200: Loss = 0.007585891056805849, lr = [0.0001] +[2024-05-21 09:36:17,352] - INFO: Epoch 813/9999, Iter 81220: Loss = 0.012400374747812748, lr = [0.0001] +[2024-05-21 09:36:31,972] - INFO: Epoch 813/9999, Iter 81240: Loss = 0.005825459025800228, lr = [0.0001] +[2024-05-21 09:36:46,670] - INFO: Epoch 813/9999, Iter 81260: Loss = 0.017780477181077003, lr = [0.0001] +[2024-05-21 09:37:01,326] - INFO: Epoch 813/9999, Iter 81280: Loss = 0.009813634678721428, lr = [0.0001] +[2024-05-21 09:37:17,452] - INFO: Epoch 814/9999, Iter 81300: Loss = 0.009391045197844505, lr = [0.0001] +[2024-05-21 09:37:32,124] - INFO: Epoch 814/9999, Iter 81320: Loss = 0.01143969502300024, lr = [0.0001] +[2024-05-21 09:37:46,804] - INFO: Epoch 814/9999, Iter 81340: Loss = 0.01907612942159176, lr = [0.0001] +[2024-05-21 09:38:01,426] - INFO: Epoch 814/9999, Iter 81360: Loss = 0.011960230767726898, lr = [0.0001] +[2024-05-21 09:38:16,132] - INFO: Epoch 814/9999, Iter 81380: Loss = 0.012001730501651764, lr = [0.0001] +[2024-05-21 09:38:32,098] - INFO: Epoch 815/9999, Iter 81400: Loss = 0.00928481388837099, lr = [0.0001] +[2024-05-21 09:38:46,816] - INFO: Epoch 815/9999, Iter 81420: Loss = 0.016263868659734726, lr = [0.0001] +[2024-05-21 09:39:01,632] - INFO: Epoch 815/9999, Iter 81440: Loss = 0.011816644109785557, lr = [0.0001] +[2024-05-21 09:39:16,271] - INFO: Epoch 815/9999, Iter 81460: Loss = 0.013003943488001823, lr = [0.0001] +[2024-05-21 09:39:30,874] - INFO: Epoch 815/9999, Iter 81480: Loss = 0.01592119038105011, lr = [0.0001] +[2024-05-21 09:39:45,452] - INFO: Evaluate at epoch 815! +[2024-05-21 09:39:50,787] - INFO: Eval PSNR (max): 37.903 (795) SSIM (max): 0.9605 (715) +[2024-05-21 09:39:50,787] - INFO: Eval PSNR (current): 37.822 (815) SSIM (current): 0.9603 (815) +[2024-05-21 09:39:50,787] - INFO: Evaluation over. +[2024-05-21 09:40:36,780] - INFO: Epoch 816/9999, Iter 81500: Loss = 0.01461088191717863, lr = [0.0001] +[2024-05-21 09:40:51,294] - INFO: Epoch 816/9999, Iter 81520: Loss = 0.0074662091210484505, lr = [0.0001] +[2024-05-21 09:41:05,904] - INFO: Epoch 816/9999, Iter 81540: Loss = 0.007188421208411455, lr = [0.0001] +[2024-05-21 09:41:20,390] - INFO: Epoch 816/9999, Iter 81560: Loss = 0.010802935808897018, lr = [0.0001] +[2024-05-21 09:41:34,892] - INFO: Epoch 816/9999, Iter 81580: Loss = 0.012640182860195637, lr = [0.0001] +[2024-05-21 09:41:50,704] - INFO: Epoch 817/9999, Iter 81600: Loss = 0.013551673851907253, lr = [0.0001] +[2024-05-21 09:42:05,310] - INFO: Epoch 817/9999, Iter 81620: Loss = 0.011185466311872005, lr = [0.0001] +[2024-05-21 09:42:19,878] - INFO: Epoch 817/9999, Iter 81640: Loss = 0.014818412251770496, lr = [0.0001] +[2024-05-21 09:42:34,539] - INFO: Epoch 817/9999, Iter 81660: Loss = 0.022902298718690872, lr = [0.0001] +[2024-05-21 09:42:49,162] - INFO: Epoch 817/9999, Iter 81680: Loss = 0.01123003475368023, lr = [0.0001] +[2024-05-21 09:43:05,135] - INFO: Epoch 818/9999, Iter 81700: Loss = 0.012817798182368279, lr = [0.0001] +[2024-05-21 09:43:19,812] - INFO: Epoch 818/9999, Iter 81720: Loss = 0.019735325127840042, lr = [0.0001] +[2024-05-21 09:43:34,502] - INFO: Epoch 818/9999, Iter 81740: Loss = 0.008620072156190872, lr = [0.0001] +[2024-05-21 09:43:49,288] - INFO: Epoch 818/9999, Iter 81760: Loss = 0.00869964063167572, lr = [0.0001] +[2024-05-21 09:44:04,035] - INFO: Epoch 818/9999, Iter 81780: Loss = 0.012576957233250141, lr = [0.0001] +[2024-05-21 09:44:20,056] - INFO: Epoch 819/9999, Iter 81800: Loss = 0.017500024288892746, lr = [0.0001] +[2024-05-21 09:44:34,784] - INFO: Epoch 819/9999, Iter 81820: Loss = 0.007459566462785006, lr = [0.0001] +[2024-05-21 09:44:49,507] - INFO: Epoch 819/9999, Iter 81840: Loss = 0.010973918251693249, lr = [0.0001] +[2024-05-21 09:45:04,281] - INFO: Epoch 819/9999, Iter 81860: Loss = 0.010165096260607243, lr = [0.0001] +[2024-05-21 09:45:19,069] - INFO: Epoch 819/9999, Iter 81880: Loss = 0.015116941183805466, lr = [0.0001] +[2024-05-21 09:45:35,210] - INFO: Epoch 820/9999, Iter 81900: Loss = 0.0116023113951087, lr = [0.0001] +[2024-05-21 09:45:50,030] - INFO: Epoch 820/9999, Iter 81920: Loss = 0.013682196848094463, lr = [0.0001] +[2024-05-21 09:46:04,876] - INFO: Epoch 820/9999, Iter 81940: Loss = 0.00987370777875185, lr = [0.0001] +[2024-05-21 09:46:19,704] - INFO: Epoch 820/9999, Iter 81960: Loss = 0.01202459167689085, lr = [0.0001] +[2024-05-21 09:46:34,610] - INFO: Epoch 820/9999, Iter 81980: Loss = 0.013487558811903, lr = [0.0001] +[2024-05-21 09:46:49,161] - INFO: Evaluate at epoch 820! +[2024-05-21 09:46:54,409] - INFO: Eval PSNR (max): 37.903 (795) SSIM (max): 0.9605 (715) +[2024-05-21 09:46:54,409] - INFO: Eval PSNR (current): 37.846 (820) SSIM (current): 0.9604 (820) +[2024-05-21 09:46:54,409] - INFO: Evaluation over. +[2024-05-21 09:47:40,264] - INFO: Epoch 821/9999, Iter 82000: Loss = 0.018298568204045296, lr = [0.0001] +[2024-05-21 09:47:54,823] - INFO: Epoch 821/9999, Iter 82020: Loss = 0.018148181959986687, lr = [0.0001] +[2024-05-21 09:48:09,339] - INFO: Epoch 821/9999, Iter 82040: Loss = 0.012448849156498909, lr = [0.0001] +[2024-05-21 09:48:23,911] - INFO: Epoch 821/9999, Iter 82060: Loss = 0.00992164108902216, lr = [0.0001] +[2024-05-21 09:48:38,488] - INFO: Epoch 821/9999, Iter 82080: Loss = 0.014085352420806885, lr = [0.0001] +[2024-05-21 09:48:54,298] - INFO: Epoch 822/9999, Iter 82100: Loss = 0.013431054539978504, lr = [0.0001] +[2024-05-21 09:49:08,948] - INFO: Epoch 822/9999, Iter 82120: Loss = 0.016230454668402672, lr = [0.0001] +[2024-05-21 09:49:23,578] - INFO: Epoch 822/9999, Iter 82140: Loss = 0.013236568309366703, lr = [0.0001] +[2024-05-21 09:49:38,202] - INFO: Epoch 822/9999, Iter 82160: Loss = 0.013278654776513577, lr = [0.0001] +[2024-05-21 09:49:52,888] - INFO: Epoch 822/9999, Iter 82180: Loss = 0.014668927527964115, lr = [0.0001] +[2024-05-21 09:50:08,864] - INFO: Epoch 823/9999, Iter 82200: Loss = 0.016537873074412346, lr = [0.0001] +[2024-05-21 09:50:23,537] - INFO: Epoch 823/9999, Iter 82220: Loss = 0.012176774442195892, lr = [0.0001] +[2024-05-21 09:50:38,183] - INFO: Epoch 823/9999, Iter 82240: Loss = 0.009708513505756855, lr = [0.0001] +[2024-05-21 09:50:52,973] - INFO: Epoch 823/9999, Iter 82260: Loss = 0.0175715833902359, lr = [0.0001] +[2024-05-21 09:51:07,732] - INFO: Epoch 823/9999, Iter 82280: Loss = 0.015863699838519096, lr = [0.0001] +[2024-05-21 09:51:23,677] - INFO: Epoch 824/9999, Iter 82300: Loss = 0.015268712304532528, lr = [0.0001] +[2024-05-21 09:51:38,424] - INFO: Epoch 824/9999, Iter 82320: Loss = 0.009730435907840729, lr = [0.0001] +[2024-05-21 09:51:53,223] - INFO: Epoch 824/9999, Iter 82340: Loss = 0.011638376861810684, lr = [0.0001] +[2024-05-21 09:52:08,008] - INFO: Epoch 824/9999, Iter 82360: Loss = 0.024493372067809105, lr = [0.0001] +[2024-05-21 09:52:22,749] - INFO: Epoch 824/9999, Iter 82380: Loss = 0.012088769115507603, lr = [0.0001] +[2024-05-21 09:52:38,955] - INFO: Epoch 825/9999, Iter 82400: Loss = 0.018702302128076553, lr = [0.0001] +[2024-05-21 09:52:53,766] - INFO: Epoch 825/9999, Iter 82420: Loss = 0.013308513909578323, lr = [0.0001] +[2024-05-21 09:53:08,569] - INFO: Epoch 825/9999, Iter 82440: Loss = 0.016680482774972916, lr = [0.0001] +[2024-05-21 09:53:23,320] - INFO: Epoch 825/9999, Iter 82460: Loss = 0.014414852485060692, lr = [0.0001] +[2024-05-21 09:53:38,127] - INFO: Epoch 825/9999, Iter 82480: Loss = 0.027561336755752563, lr = [0.0001] +[2024-05-21 09:53:52,719] - INFO: Evaluate at epoch 825! +[2024-05-21 09:53:58,014] - INFO: Eval PSNR (max): 37.903 (795) SSIM (max): 0.9605 (715) +[2024-05-21 09:53:58,015] - INFO: Eval PSNR (current): 19.153 (825) SSIM (current): 0.8208 (825) +[2024-05-21 09:53:58,015] - INFO: Evaluation over. +[2024-05-21 09:54:43,766] - INFO: Epoch 826/9999, Iter 82500: Loss = 0.11271681636571884, lr = [0.0001] +[2024-05-21 09:54:58,279] - INFO: Epoch 826/9999, Iter 82520: Loss = 0.5210723280906677, lr = [0.0001] +[2024-05-21 09:55:12,843] - INFO: Epoch 826/9999, Iter 82540: Loss = 0.04769320785999298, lr = [0.0001] +[2024-05-21 09:55:27,328] - INFO: Epoch 826/9999, Iter 82560: Loss = 0.050017524510622025, lr = [0.0001] +[2024-05-21 09:55:41,908] - INFO: Epoch 826/9999, Iter 82580: Loss = 0.026377607136964798, lr = [0.0001] +[2024-05-21 09:55:57,702] - INFO: Epoch 827/9999, Iter 82600: Loss = 0.028866853564977646, lr = [0.0001] +[2024-05-21 09:56:12,279] - INFO: Epoch 827/9999, Iter 82620: Loss = 0.0162520594894886, lr = [0.0001] +[2024-05-21 09:56:26,845] - INFO: Epoch 827/9999, Iter 82640: Loss = 0.018300948664546013, lr = [0.0001] +[2024-05-21 09:56:41,414] - INFO: Epoch 827/9999, Iter 82660: Loss = 0.012934517115354538, lr = [0.0001] +[2024-05-21 09:56:56,018] - INFO: Epoch 827/9999, Iter 82680: Loss = 0.00932634249329567, lr = [0.0001] +[2024-05-21 09:57:12,061] - INFO: Epoch 828/9999, Iter 82700: Loss = 0.010974164120852947, lr = [0.0001] +[2024-05-21 09:57:26,817] - INFO: Epoch 828/9999, Iter 82720: Loss = 0.014627654105424881, lr = [0.0001] +[2024-05-21 09:57:41,501] - INFO: Epoch 828/9999, Iter 82740: Loss = 0.012755190022289753, lr = [0.0001] +[2024-05-21 09:57:56,224] - INFO: Epoch 828/9999, Iter 82760: Loss = 0.010802148841321468, lr = [0.0001] +[2024-05-21 09:58:10,999] - INFO: Epoch 828/9999, Iter 82780: Loss = 0.020739777013659477, lr = [0.0001] +[2024-05-21 09:58:27,085] - INFO: Epoch 829/9999, Iter 82800: Loss = 0.012901551090180874, lr = [0.0001] +[2024-05-21 09:58:41,898] - INFO: Epoch 829/9999, Iter 82820: Loss = 0.018443942070007324, lr = [0.0001] +[2024-05-21 09:58:56,567] - INFO: Epoch 829/9999, Iter 82840: Loss = 0.010879271663725376, lr = [0.0001] +[2024-05-21 09:59:11,300] - INFO: Epoch 829/9999, Iter 82860: Loss = 0.013024440966546535, lr = [0.0001] +[2024-05-21 09:59:26,028] - INFO: Epoch 829/9999, Iter 82880: Loss = 0.0203192550688982, lr = [0.0001] +[2024-05-21 09:59:42,061] - INFO: Epoch 830/9999, Iter 82900: Loss = 0.01640794612467289, lr = [0.0001] +[2024-05-21 09:59:56,882] - INFO: Epoch 830/9999, Iter 82920: Loss = 0.018522631376981735, lr = [0.0001] +[2024-05-21 10:00:11,520] - INFO: Epoch 830/9999, Iter 82940: Loss = 0.023761752992868423, lr = [0.0001] +[2024-05-21 10:00:26,267] - INFO: Epoch 830/9999, Iter 82960: Loss = 0.012183151207864285, lr = [0.0001] +[2024-05-21 10:00:41,009] - INFO: Epoch 830/9999, Iter 82980: Loss = 0.012614108622074127, lr = [0.0001] +[2024-05-21 10:00:55,411] - INFO: Evaluate at epoch 830! +[2024-05-21 10:01:00,380] - INFO: Eval PSNR (max): 37.903 (795) SSIM (max): 0.9605 (715) +[2024-05-21 10:01:00,380] - INFO: Eval PSNR (current): 37.602 (830) SSIM (current): 0.9592 (830) +[2024-05-21 10:01:00,380] - INFO: Evaluation over. +[2024-05-21 10:01:46,421] - INFO: Epoch 831/9999, Iter 83000: Loss = 0.014093232341110706, lr = [0.0001] +[2024-05-21 10:02:00,924] - INFO: Epoch 831/9999, Iter 83020: Loss = 0.018017714843153954, lr = [0.0001] +[2024-05-21 10:02:15,418] - INFO: Epoch 831/9999, Iter 83040: Loss = 0.00969615951180458, lr = [0.0001] +[2024-05-21 10:02:29,963] - INFO: Epoch 831/9999, Iter 83060: Loss = 0.017607659101486206, lr = [0.0001] +[2024-05-21 10:02:44,496] - INFO: Epoch 831/9999, Iter 83080: Loss = 0.020718906074762344, lr = [0.0001] +[2024-05-21 10:03:00,490] - INFO: Epoch 832/9999, Iter 83100: Loss = 0.020561017096042633, lr = [0.0001] +[2024-05-21 10:03:15,088] - INFO: Epoch 832/9999, Iter 83120: Loss = 0.016610588878393173, lr = [0.0001] +[2024-05-21 10:03:29,756] - INFO: Epoch 832/9999, Iter 83140: Loss = 0.018908213824033737, lr = [0.0001] +[2024-05-21 10:03:44,364] - INFO: Epoch 832/9999, Iter 83160: Loss = 0.017120832577347755, lr = [0.0001] +[2024-05-21 10:03:59,259] - INFO: Epoch 832/9999, Iter 83180: Loss = 0.008184559643268585, lr = [0.0001] +[2024-05-21 10:04:15,244] - INFO: Epoch 833/9999, Iter 83200: Loss = 0.00959287490695715, lr = [0.0001] +[2024-05-21 10:04:29,938] - INFO: Epoch 833/9999, Iter 83220: Loss = 0.020220721140503883, lr = [0.0001] +[2024-05-21 10:04:44,543] - INFO: Epoch 833/9999, Iter 83240: Loss = 0.012223804369568825, lr = [0.0001] +[2024-05-21 10:04:59,218] - INFO: Epoch 833/9999, Iter 83260: Loss = 0.012491706758737564, lr = [0.0001] +[2024-05-21 10:05:13,952] - INFO: Epoch 833/9999, Iter 83280: Loss = 0.008509344421327114, lr = [0.0001] +[2024-05-21 10:05:30,044] - INFO: Epoch 834/9999, Iter 83300: Loss = 0.008258418180048466, lr = [0.0001] +[2024-05-21 10:05:44,902] - INFO: Epoch 834/9999, Iter 83320: Loss = 0.01351175270974636, lr = [0.0001] +[2024-05-21 10:05:59,656] - INFO: Epoch 834/9999, Iter 83340: Loss = 0.007688188925385475, lr = [0.0001] +[2024-05-21 10:06:14,344] - INFO: Epoch 834/9999, Iter 83360: Loss = 0.009953615255653858, lr = [0.0001] +[2024-05-21 10:06:29,063] - INFO: Epoch 834/9999, Iter 83380: Loss = 0.010227631777524948, lr = [0.0001] +[2024-05-21 10:06:45,133] - INFO: Epoch 835/9999, Iter 83400: Loss = 0.011266578920185566, lr = [0.0001] +[2024-05-21 10:06:59,932] - INFO: Epoch 835/9999, Iter 83420: Loss = 0.011181602254509926, lr = [0.0001] +[2024-05-21 10:07:14,865] - INFO: Epoch 835/9999, Iter 83440: Loss = 0.010387731716036797, lr = [0.0001] +[2024-05-21 10:07:29,601] - INFO: Epoch 835/9999, Iter 83460: Loss = 0.021477267146110535, lr = [0.0001] +[2024-05-21 10:07:44,380] - INFO: Epoch 835/9999, Iter 83480: Loss = 0.014824336394667625, lr = [0.0001] +[2024-05-21 10:07:58,853] - INFO: Evaluate at epoch 835! +[2024-05-21 10:08:03,725] - INFO: Eval PSNR (max): 37.903 (795) SSIM (max): 0.9605 (715) +[2024-05-21 10:08:03,725] - INFO: Eval PSNR (current): 37.811 (835) SSIM (current): 0.9599 (835) +[2024-05-21 10:08:03,725] - INFO: Evaluation over. +[2024-05-21 10:08:49,554] - INFO: Epoch 836/9999, Iter 83500: Loss = 0.01393990870565176, lr = [0.0001] +[2024-05-21 10:09:04,087] - INFO: Epoch 836/9999, Iter 83520: Loss = 0.023482242599129677, lr = [0.0001] +[2024-05-21 10:09:18,654] - INFO: Epoch 836/9999, Iter 83540: Loss = 0.021647179499268532, lr = [0.0001] +[2024-05-21 10:09:33,309] - INFO: Epoch 836/9999, Iter 83560: Loss = 0.013172002509236336, lr = [0.0001] +[2024-05-21 10:09:47,888] - INFO: Epoch 836/9999, Iter 83580: Loss = 0.010021273978054523, lr = [0.0001] +[2024-05-21 10:10:03,818] - INFO: Epoch 837/9999, Iter 83600: Loss = 0.01436347421258688, lr = [0.0001] +[2024-05-21 10:10:18,408] - INFO: Epoch 837/9999, Iter 83620: Loss = 0.013935662806034088, lr = [0.0001] +[2024-05-21 10:10:33,054] - INFO: Epoch 837/9999, Iter 83640: Loss = 0.013178301975131035, lr = [0.0001] +[2024-05-21 10:10:47,681] - INFO: Epoch 837/9999, Iter 83660: Loss = 0.013755397871136665, lr = [0.0001] +[2024-05-21 10:11:02,368] - INFO: Epoch 837/9999, Iter 83680: Loss = 0.024390794336795807, lr = [0.0001] +[2024-05-21 10:11:18,316] - INFO: Epoch 838/9999, Iter 83700: Loss = 0.015417370945215225, lr = [0.0001] +[2024-05-21 10:11:33,085] - INFO: Epoch 838/9999, Iter 83720: Loss = 0.009840451180934906, lr = [0.0001] +[2024-05-21 10:11:47,722] - INFO: Epoch 838/9999, Iter 83740: Loss = 0.007915590889751911, lr = [0.0001] +[2024-05-21 10:12:02,424] - INFO: Epoch 838/9999, Iter 83760: Loss = 0.012035069987177849, lr = [0.0001] +[2024-05-21 10:12:17,083] - INFO: Epoch 838/9999, Iter 83780: Loss = 0.017349591478705406, lr = [0.0001] +[2024-05-21 10:12:33,015] - INFO: Epoch 839/9999, Iter 83800: Loss = 0.01485522836446762, lr = [0.0001] +[2024-05-21 10:12:47,701] - INFO: Epoch 839/9999, Iter 83820: Loss = 0.014562808908522129, lr = [0.0001] +[2024-05-21 10:13:02,461] - INFO: Epoch 839/9999, Iter 83840: Loss = 0.009282827377319336, lr = [0.0001] +[2024-05-21 10:13:17,132] - INFO: Epoch 839/9999, Iter 83860: Loss = 0.013170074671506882, lr = [0.0001] +[2024-05-21 10:13:31,879] - INFO: Epoch 839/9999, Iter 83880: Loss = 0.009481910616159439, lr = [0.0001] +[2024-05-21 10:13:47,854] - INFO: Epoch 840/9999, Iter 83900: Loss = 0.01557659637182951, lr = [0.0001] +[2024-05-21 10:14:02,728] - INFO: Epoch 840/9999, Iter 83920: Loss = 0.017622997984290123, lr = [0.0001] +[2024-05-21 10:14:17,471] - INFO: Epoch 840/9999, Iter 83940: Loss = 0.01390681229531765, lr = [0.0001] +[2024-05-21 10:14:32,292] - INFO: Epoch 840/9999, Iter 83960: Loss = 0.008472481742501259, lr = [0.0001] +[2024-05-21 10:14:47,096] - INFO: Epoch 840/9999, Iter 83980: Loss = 0.013198206201195717, lr = [0.0001] +[2024-05-21 10:15:01,633] - INFO: Evaluate at epoch 840! +[2024-05-21 10:15:06,622] - INFO: Eval PSNR (max): 37.903 (795) SSIM (max): 0.9605 (715) +[2024-05-21 10:15:06,622] - INFO: Eval PSNR (current): 37.883 (840) SSIM (current): 0.9602 (840) +[2024-05-21 10:15:06,622] - INFO: Evaluation over. +[2024-05-21 10:15:52,261] - INFO: Epoch 841/9999, Iter 84000: Loss = 0.012537085451185703, lr = [0.0001] +[2024-05-21 10:16:06,809] - INFO: Epoch 841/9999, Iter 84020: Loss = 0.016957569867372513, lr = [0.0001] +[2024-05-21 10:16:21,309] - INFO: Epoch 841/9999, Iter 84040: Loss = 0.012368171475827694, lr = [0.0001] +[2024-05-21 10:16:35,774] - INFO: Epoch 841/9999, Iter 84060: Loss = 0.016433292999863625, lr = [0.0001] +[2024-05-21 10:16:50,265] - INFO: Epoch 841/9999, Iter 84080: Loss = 0.012378460727632046, lr = [0.0001] +[2024-05-21 10:17:06,084] - INFO: Epoch 842/9999, Iter 84100: Loss = 0.01311137992888689, lr = [0.0001] +[2024-05-21 10:17:20,638] - INFO: Epoch 842/9999, Iter 84120: Loss = 0.015100730583071709, lr = [0.0001] +[2024-05-21 10:17:35,229] - INFO: Epoch 842/9999, Iter 84140: Loss = 0.019624635577201843, lr = [0.0001] +[2024-05-21 10:17:49,820] - INFO: Epoch 842/9999, Iter 84160: Loss = 0.010292123071849346, lr = [0.0001] +[2024-05-21 10:18:04,430] - INFO: Epoch 842/9999, Iter 84180: Loss = 0.012799138203263283, lr = [0.0001] +[2024-05-21 10:18:20,178] - INFO: Epoch 843/9999, Iter 84200: Loss = 0.017658622935414314, lr = [0.0001] +[2024-05-21 10:18:34,930] - INFO: Epoch 843/9999, Iter 84220: Loss = 0.008883137255907059, lr = [0.0001] +[2024-05-21 10:18:49,743] - INFO: Epoch 843/9999, Iter 84240: Loss = 0.009282935410737991, lr = [0.0001] +[2024-05-21 10:19:04,440] - INFO: Epoch 843/9999, Iter 84260: Loss = 0.011126971803605556, lr = [0.0001] +[2024-05-21 10:19:19,148] - INFO: Epoch 843/9999, Iter 84280: Loss = 0.017330389469861984, lr = [0.0001] +[2024-05-21 10:19:35,196] - INFO: Epoch 844/9999, Iter 84300: Loss = 0.0166909322142601, lr = [0.0001] +[2024-05-21 10:19:49,937] - INFO: Epoch 844/9999, Iter 84320: Loss = 0.015376738272607327, lr = [0.0001] +[2024-05-21 10:20:04,668] - INFO: Epoch 844/9999, Iter 84340: Loss = 0.016758311539888382, lr = [0.0001] +[2024-05-21 10:20:23,164] - INFO: Epoch 844/9999, Iter 84360: Loss = 0.010542565956711769, lr = [0.0001] +[2024-05-21 10:20:37,864] - INFO: Epoch 844/9999, Iter 84380: Loss = 0.01365182176232338, lr = [0.0001] +[2024-05-21 10:20:53,733] - INFO: Epoch 845/9999, Iter 84400: Loss = 0.011356872506439686, lr = [0.0001] +[2024-05-21 10:21:08,475] - INFO: Epoch 845/9999, Iter 84420: Loss = 0.008150656707584858, lr = [0.0001] +[2024-05-21 10:21:23,170] - INFO: Epoch 845/9999, Iter 84440: Loss = 0.01588394306600094, lr = [0.0001] +[2024-05-21 10:21:37,904] - INFO: Epoch 845/9999, Iter 84460: Loss = 0.021544504910707474, lr = [0.0001] +[2024-05-21 10:21:52,560] - INFO: Epoch 845/9999, Iter 84480: Loss = 0.015706965699791908, lr = [0.0001] +[2024-05-21 10:22:06,947] - INFO: Evaluate at epoch 845! +[2024-05-21 10:22:56,180] - INFO: Eval PSNR (max): 37.912 (845) SSIM (max): 0.9605 (715) +[2024-05-21 10:22:56,180] - INFO: Eval PSNR (current): 37.912 (845) SSIM (current): 0.9603 (845) +[2024-05-21 10:22:56,180] - INFO: Evaluation over. +[2024-05-21 10:23:42,520] - INFO: Epoch 846/9999, Iter 84500: Loss = 0.016594411805272102, lr = [0.0001] +[2024-05-21 10:23:56,936] - INFO: Epoch 846/9999, Iter 84520: Loss = 0.015423262491822243, lr = [0.0001] +[2024-05-21 10:24:11,245] - INFO: Epoch 846/9999, Iter 84540: Loss = 0.012576056644320488, lr = [0.0001] +[2024-05-21 10:24:25,628] - INFO: Epoch 846/9999, Iter 84560: Loss = 0.014253132976591587, lr = [0.0001] +[2024-05-21 10:24:40,086] - INFO: Epoch 846/9999, Iter 84580: Loss = 0.011276850476861, lr = [0.0001] +[2024-05-21 10:24:55,931] - INFO: Epoch 847/9999, Iter 84600: Loss = 0.020033005625009537, lr = [0.0001] +[2024-05-21 10:25:10,344] - INFO: Epoch 847/9999, Iter 84620: Loss = 0.014702011831104755, lr = [0.0001] +[2024-05-21 10:25:24,811] - INFO: Epoch 847/9999, Iter 84640: Loss = 0.01308873388916254, lr = [0.0001] +[2024-05-21 10:25:39,233] - INFO: Epoch 847/9999, Iter 84660: Loss = 0.011252357624471188, lr = [0.0001] +[2024-05-21 10:25:53,786] - INFO: Epoch 847/9999, Iter 84680: Loss = 0.011560368351638317, lr = [0.0001] +[2024-05-21 10:26:09,698] - INFO: Epoch 848/9999, Iter 84700: Loss = 0.00936032086610794, lr = [0.0001] +[2024-05-21 10:26:24,432] - INFO: Epoch 848/9999, Iter 84720: Loss = 0.018056532368063927, lr = [0.0001] +[2024-05-21 10:26:39,012] - INFO: Epoch 848/9999, Iter 84740: Loss = 0.015268652699887753, lr = [0.0001] +[2024-05-21 10:26:53,626] - INFO: Epoch 848/9999, Iter 84760: Loss = 0.015025298111140728, lr = [0.0001] +[2024-05-21 10:27:08,230] - INFO: Epoch 848/9999, Iter 84780: Loss = 0.008345545269548893, lr = [0.0001] +[2024-05-21 10:27:24,132] - INFO: Epoch 849/9999, Iter 84800: Loss = 0.013188080862164497, lr = [0.0001] +[2024-05-21 10:27:38,852] - INFO: Epoch 849/9999, Iter 84820: Loss = 0.007471339777112007, lr = [0.0001] +[2024-05-21 10:27:53,620] - INFO: Epoch 849/9999, Iter 84840: Loss = 0.011049272492527962, lr = [0.0001] +[2024-05-21 10:28:08,346] - INFO: Epoch 849/9999, Iter 84860: Loss = 0.008678550831973553, lr = [0.0001] +[2024-05-21 10:28:23,056] - INFO: Epoch 849/9999, Iter 84880: Loss = 0.00887447502464056, lr = [0.0001] +[2024-05-21 10:28:39,264] - INFO: Epoch 850/9999, Iter 84900: Loss = 0.011644545942544937, lr = [0.0001] +[2024-05-21 10:28:54,032] - INFO: Epoch 850/9999, Iter 84920: Loss = 0.0112446965649724, lr = [0.0001] +[2024-05-21 10:30:07,573] - INFO: Epoch 850/9999, Iter 84940: Loss = 0.008200643584132195, lr = [0.0001] +[2024-05-21 10:30:22,073] - INFO: Epoch 850/9999, Iter 84960: Loss = 0.01378864049911499, lr = [0.0001] +[2024-05-21 10:30:36,612] - INFO: Epoch 850/9999, Iter 84980: Loss = 0.01110964547842741, lr = [0.0001] +[2024-05-21 10:30:50,840] - INFO: Evaluate at epoch 850! +[2024-05-21 10:31:39,727] - INFO: Eval PSNR (max): 37.922 (850) SSIM (max): 0.9605 (715) +[2024-05-21 10:31:39,727] - INFO: Eval PSNR (current): 37.922 (850) SSIM (current): 0.9604 (850) +[2024-05-21 10:31:39,727] - INFO: Evaluation over. +[2024-05-21 10:32:25,601] - INFO: Epoch 851/9999, Iter 85000: Loss = 0.011642700992524624, lr = [0.0001] +[2024-05-21 10:32:39,836] - INFO: Epoch 851/9999, Iter 85020: Loss = 0.013408214785158634, lr = [0.0001] +[2024-05-21 10:32:54,167] - INFO: Epoch 851/9999, Iter 85040: Loss = 0.014870851300656796, lr = [0.0001] +[2024-05-21 10:33:08,516] - INFO: Epoch 851/9999, Iter 85060: Loss = 0.011642134748399258, lr = [0.0001] +[2024-05-21 10:33:22,900] - INFO: Epoch 851/9999, Iter 85080: Loss = 0.014003435149788857, lr = [0.0001] +[2024-05-21 10:33:38,539] - INFO: Epoch 852/9999, Iter 85100: Loss = 0.016811683773994446, lr = [0.0001] +[2024-05-21 10:33:53,065] - INFO: Epoch 852/9999, Iter 85120: Loss = 0.01358544547110796, lr = [0.0001] +[2024-05-21 10:34:07,500] - INFO: Epoch 852/9999, Iter 85140: Loss = 0.014702430926263332, lr = [0.0001] +[2024-05-21 10:34:21,949] - INFO: Epoch 852/9999, Iter 85160: Loss = 0.015494485385715961, lr = [0.0001] +[2024-05-21 10:34:36,437] - INFO: Epoch 852/9999, Iter 85180: Loss = 0.01277596689760685, lr = [0.0001] +[2024-05-21 10:34:52,297] - INFO: Epoch 853/9999, Iter 85200: Loss = 0.011725682765245438, lr = [0.0001] +[2024-05-21 10:35:06,845] - INFO: Epoch 853/9999, Iter 85220: Loss = 0.021197795867919922, lr = [0.0001] +[2024-05-21 10:37:25,764] - INFO: Epoch 853/9999, Iter 85240: Loss = 0.009437920525670052, lr = [0.0001] +[2024-05-21 10:40:13,953] - INFO: Epoch 853/9999, Iter 85260: Loss = 0.02434297278523445, lr = [0.0001] +[2024-05-21 10:40:28,196] - INFO: Epoch 853/9999, Iter 85280: Loss = 0.009465022943913937, lr = [0.0001] +[2024-05-21 10:40:43,804] - INFO: Epoch 854/9999, Iter 85300: Loss = 0.019770599901676178, lr = [0.0001] +[2024-05-21 10:40:58,159] - INFO: Epoch 854/9999, Iter 85320: Loss = 0.011978666298091412, lr = [0.0001] +[2024-05-21 10:41:12,484] - INFO: Epoch 854/9999, Iter 85340: Loss = 0.01691904291510582, lr = [0.0001] +[2024-05-21 10:41:26,789] - INFO: Epoch 854/9999, Iter 85360: Loss = 0.010804911144077778, lr = [0.0001] +[2024-05-21 10:41:41,228] - INFO: Epoch 854/9999, Iter 85380: Loss = 0.010813076980412006, lr = [0.0001] +[2024-05-21 10:41:57,159] - INFO: Epoch 855/9999, Iter 85400: Loss = 0.011927426792681217, lr = [0.0001] +[2024-05-21 10:42:11,636] - INFO: Epoch 855/9999, Iter 85420: Loss = 0.020626654848456383, lr = [0.0001] +[2024-05-21 10:42:26,131] - INFO: Epoch 855/9999, Iter 85440: Loss = 0.013813621364533901, lr = [0.0001] +[2024-05-21 10:42:40,660] - INFO: Epoch 855/9999, Iter 85460: Loss = 0.02249717153608799, lr = [0.0001] +[2024-05-21 10:42:55,232] - INFO: Epoch 855/9999, Iter 85480: Loss = 0.00902591459453106, lr = [0.0001] +[2024-05-21 10:43:09,597] - INFO: Evaluate at epoch 855! +[2024-05-21 10:43:14,793] - INFO: Eval PSNR (max): 37.922 (850) SSIM (max): 0.9605 (715) +[2024-05-21 10:43:14,794] - INFO: Eval PSNR (current): 37.909 (855) SSIM (current): 0.9604 (855) +[2024-05-21 10:43:14,794] - INFO: Evaluation over. +[2024-05-21 10:44:00,065] - INFO: Epoch 856/9999, Iter 85500: Loss = 0.010165722109377384, lr = [0.0001] +[2024-05-21 10:44:14,574] - INFO: Epoch 856/9999, Iter 85520: Loss = 0.019392957910895348, lr = [0.0001] +[2024-05-21 10:44:29,008] - INFO: Epoch 856/9999, Iter 85540: Loss = 0.013844294473528862, lr = [0.0001] +[2024-05-21 10:44:43,434] - INFO: Epoch 856/9999, Iter 85560: Loss = 0.015138916671276093, lr = [0.0001] +[2024-05-21 10:44:57,928] - INFO: Epoch 856/9999, Iter 85580: Loss = 0.009999883361160755, lr = [0.0001] +[2024-05-21 10:45:13,764] - INFO: Epoch 857/9999, Iter 85600: Loss = 0.02372884750366211, lr = [0.0001] +[2024-05-21 10:45:28,326] - INFO: Epoch 857/9999, Iter 85620: Loss = 0.017389412969350815, lr = [0.0001] +[2024-05-21 10:45:42,937] - INFO: Epoch 857/9999, Iter 85640: Loss = 0.01637580804526806, lr = [0.0001] +[2024-05-21 10:45:57,442] - INFO: Epoch 857/9999, Iter 85660: Loss = 0.01400569174438715, lr = [0.0001] +[2024-05-21 10:46:11,984] - INFO: Epoch 857/9999, Iter 85680: Loss = 0.01242977473884821, lr = [0.0001] +[2024-05-21 10:46:27,698] - INFO: Epoch 858/9999, Iter 85700: Loss = 0.012411219999194145, lr = [0.0001] +[2024-05-21 10:46:42,278] - INFO: Epoch 858/9999, Iter 85720: Loss = 0.015259349718689919, lr = [0.0001] +[2024-05-21 10:46:56,866] - INFO: Epoch 858/9999, Iter 85740: Loss = 0.021088039502501488, lr = [0.0001] +[2024-05-21 10:47:11,606] - INFO: Epoch 858/9999, Iter 85760: Loss = 0.010693551041185856, lr = [0.0001] +[2024-05-21 10:47:26,372] - INFO: Epoch 858/9999, Iter 85780: Loss = 0.013762610964477062, lr = [0.0001] +[2024-05-21 10:47:42,434] - INFO: Epoch 859/9999, Iter 85800: Loss = 0.007246925961226225, lr = [0.0001] +[2024-05-21 10:47:57,147] - INFO: Epoch 859/9999, Iter 85820: Loss = 0.021479936316609383, lr = [0.0001] +[2024-05-21 10:48:11,902] - INFO: Epoch 859/9999, Iter 85840: Loss = 0.010239803232252598, lr = [0.0001] +[2024-05-21 10:48:26,662] - INFO: Epoch 859/9999, Iter 85860: Loss = 0.006992285139858723, lr = [0.0001] +[2024-05-21 10:48:41,408] - INFO: Epoch 859/9999, Iter 85880: Loss = 0.009600646793842316, lr = [0.0001] +[2024-05-21 10:48:57,354] - INFO: Epoch 860/9999, Iter 85900: Loss = 0.018937435001134872, lr = [0.0001] +[2024-05-21 10:49:12,136] - INFO: Epoch 860/9999, Iter 85920: Loss = 0.010269878432154655, lr = [0.0001] +[2024-05-21 10:49:26,980] - INFO: Epoch 860/9999, Iter 85940: Loss = 0.014225039631128311, lr = [0.0001] +[2024-05-21 10:49:41,789] - INFO: Epoch 860/9999, Iter 85960: Loss = 0.01832689344882965, lr = [0.0001] +[2024-05-21 10:49:56,556] - INFO: Epoch 860/9999, Iter 85980: Loss = 0.011818993836641312, lr = [0.0001] +[2024-05-21 10:50:10,932] - INFO: Evaluate at epoch 860! +[2024-05-21 10:51:44,169] - INFO: Eval PSNR (max): 37.946 (860) SSIM (max): 0.9605 (860) +[2024-05-21 10:51:44,171] - INFO: Eval PSNR (current): 37.946 (860) SSIM (current): 0.9605 (860) +[2024-05-21 10:51:44,171] - INFO: Evaluation over. +[2024-05-21 10:52:29,527] - INFO: Epoch 861/9999, Iter 86000: Loss = 0.014238663017749786, lr = [0.0001] +[2024-05-21 10:52:43,884] - INFO: Epoch 861/9999, Iter 86020: Loss = 0.01212924811989069, lr = [0.0001] +[2024-05-21 10:52:58,186] - INFO: Epoch 861/9999, Iter 86040: Loss = 0.009082159958779812, lr = [0.0001] +[2024-05-21 10:53:12,562] - INFO: Epoch 861/9999, Iter 86060: Loss = 0.020153522491455078, lr = [0.0001] +[2024-05-21 10:53:26,928] - INFO: Epoch 861/9999, Iter 86080: Loss = 0.013895086944103241, lr = [0.0001] +[2024-05-21 10:53:42,681] - INFO: Epoch 862/9999, Iter 86100: Loss = 0.014393327757716179, lr = [0.0001] +[2024-05-21 10:53:57,125] - INFO: Epoch 862/9999, Iter 86120: Loss = 0.010647127404808998, lr = [0.0001] +[2024-05-21 10:54:11,552] - INFO: Epoch 862/9999, Iter 86140: Loss = 0.022208597511053085, lr = [0.0001] +[2024-05-21 10:54:25,972] - INFO: Epoch 862/9999, Iter 86160: Loss = 0.00941914226859808, lr = [0.0001] +[2024-05-21 10:54:40,466] - INFO: Epoch 862/9999, Iter 86180: Loss = 0.008571013808250427, lr = [0.0001] +[2024-05-21 10:54:56,212] - INFO: Epoch 863/9999, Iter 86200: Loss = 0.014086103066802025, lr = [0.0001] +[2024-05-21 10:55:10,752] - INFO: Epoch 863/9999, Iter 86220: Loss = 0.01616581343114376, lr = [0.0001] +[2024-05-21 10:55:25,388] - INFO: Epoch 863/9999, Iter 86240: Loss = 0.01617169752717018, lr = [0.0001] +[2024-05-21 10:55:39,982] - INFO: Epoch 863/9999, Iter 86260: Loss = 0.018417173996567726, lr = [0.0001] +[2024-05-21 10:55:54,606] - INFO: Epoch 863/9999, Iter 86280: Loss = 0.01600440964102745, lr = [0.0001] +[2024-05-21 10:56:10,587] - INFO: Epoch 864/9999, Iter 86300: Loss = 0.012104401364922523, lr = [0.0001] +[2024-05-21 10:56:25,254] - INFO: Epoch 864/9999, Iter 86320: Loss = 0.012797587551176548, lr = [0.0001] +[2024-05-21 10:56:39,883] - INFO: Epoch 864/9999, Iter 86340: Loss = 0.011579002253711224, lr = [0.0001] +[2024-05-21 10:56:54,526] - INFO: Epoch 864/9999, Iter 86360: Loss = 0.014334426261484623, lr = [0.0001] +[2024-05-21 10:57:09,113] - INFO: Epoch 864/9999, Iter 86380: Loss = 0.015361069701611996, lr = [0.0001] +[2024-05-21 10:57:25,002] - INFO: Epoch 865/9999, Iter 86400: Loss = 0.0135935815051198, lr = [0.0001] +[2024-05-21 10:57:39,675] - INFO: Epoch 865/9999, Iter 86420: Loss = 0.017127271741628647, lr = [0.0001] +[2024-05-21 10:57:54,411] - INFO: Epoch 865/9999, Iter 86440: Loss = 0.019716627895832062, lr = [0.0001] +[2024-05-21 10:58:09,104] - INFO: Epoch 865/9999, Iter 86460: Loss = 0.018391480669379234, lr = [0.0001] +[2024-05-21 10:58:23,720] - INFO: Epoch 865/9999, Iter 86480: Loss = 0.021237460896372795, lr = [0.0001] +[2024-05-21 10:58:38,067] - INFO: Evaluate at epoch 865! +[2024-05-21 10:59:27,056] - INFO: Eval PSNR (max): 37.946 (860) SSIM (max): 0.9606 (865) +[2024-05-21 10:59:27,057] - INFO: Eval PSNR (current): 37.876 (865) SSIM (current): 0.9606 (865) +[2024-05-21 10:59:27,057] - INFO: Evaluation over. +[2024-05-21 11:00:12,604] - INFO: Epoch 866/9999, Iter 86500: Loss = 0.015260981395840645, lr = [0.0001] +[2024-05-21 11:00:26,944] - INFO: Epoch 866/9999, Iter 86520: Loss = 0.01616785302758217, lr = [0.0001] +[2024-05-21 11:00:41,288] - INFO: Epoch 866/9999, Iter 86540: Loss = 0.009322690777480602, lr = [0.0001] +[2024-05-21 11:00:55,692] - INFO: Epoch 866/9999, Iter 86560: Loss = 0.007989994250237942, lr = [0.0001] +[2024-05-21 11:01:10,138] - INFO: Epoch 866/9999, Iter 86580: Loss = 0.011128365993499756, lr = [0.0001] +[2024-05-21 11:01:25,869] - INFO: Epoch 867/9999, Iter 86600: Loss = 0.016512153670191765, lr = [0.0001] +[2024-05-21 11:01:40,380] - INFO: Epoch 867/9999, Iter 86620: Loss = 0.03115253709256649, lr = [0.0001] +[2024-05-21 11:01:55,063] - INFO: Epoch 867/9999, Iter 86640: Loss = 0.0110401576384902, lr = [0.0001] +[2024-05-21 11:02:09,503] - INFO: Epoch 867/9999, Iter 86660: Loss = 0.00889215525239706, lr = [0.0001] +[2024-05-21 11:02:24,075] - INFO: Epoch 867/9999, Iter 86680: Loss = 0.008299354463815689, lr = [0.0001] +[2024-05-21 11:02:39,855] - INFO: Epoch 868/9999, Iter 86700: Loss = 0.014765426516532898, lr = [0.0001] +[2024-05-21 11:02:54,385] - INFO: Epoch 868/9999, Iter 86720: Loss = 0.018867990002036095, lr = [0.0001] +[2024-05-21 11:03:09,035] - INFO: Epoch 868/9999, Iter 86740: Loss = 0.009518702514469624, lr = [0.0001] +[2024-05-21 11:03:23,676] - INFO: Epoch 868/9999, Iter 86760: Loss = 0.015288670547306538, lr = [0.0001] +[2024-05-21 11:03:38,339] - INFO: Epoch 868/9999, Iter 86780: Loss = 0.01365394052118063, lr = [0.0001] +[2024-05-21 11:03:54,336] - INFO: Epoch 869/9999, Iter 86800: Loss = 0.01242198795080185, lr = [0.0001] +[2024-05-21 11:04:09,104] - INFO: Epoch 869/9999, Iter 86820: Loss = 0.019030405208468437, lr = [0.0001] +[2024-05-21 11:04:23,916] - INFO: Epoch 869/9999, Iter 86840: Loss = 0.012602227739989758, lr = [0.0001] +[2024-05-21 11:04:38,671] - INFO: Epoch 869/9999, Iter 86860: Loss = 0.012792980298399925, lr = [0.0001] +[2024-05-21 11:04:53,387] - INFO: Epoch 869/9999, Iter 86880: Loss = 0.007313963491469622, lr = [0.0001] +[2024-05-21 11:05:09,376] - INFO: Epoch 870/9999, Iter 86900: Loss = 0.010563982650637627, lr = [0.0001] +[2024-05-21 11:05:24,352] - INFO: Epoch 870/9999, Iter 86920: Loss = 0.013050911948084831, lr = [0.0001] +[2024-05-21 11:05:39,151] - INFO: Epoch 870/9999, Iter 86940: Loss = 0.014295489527285099, lr = [0.0001] +[2024-05-21 11:05:53,928] - INFO: Epoch 870/9999, Iter 86960: Loss = 0.017315909266471863, lr = [0.0001] +[2024-05-21 11:06:08,655] - INFO: Epoch 870/9999, Iter 86980: Loss = 0.007188614923506975, lr = [0.0001] +[2024-05-21 11:06:23,170] - INFO: Evaluate at epoch 870! +[2024-05-21 11:07:56,612] - INFO: Eval PSNR (max): 37.966 (870) SSIM (max): 0.9607 (870) +[2024-05-21 11:07:56,615] - INFO: Eval PSNR (current): 37.966 (870) SSIM (current): 0.9607 (870) +[2024-05-21 11:07:56,615] - INFO: Evaluation over. +[2024-05-21 11:08:42,357] - INFO: Epoch 871/9999, Iter 87000: Loss = 0.006113249342888594, lr = [0.0001] +[2024-05-21 11:08:56,700] - INFO: Epoch 871/9999, Iter 87020: Loss = 0.015292728319764137, lr = [0.0001] +[2024-05-21 11:09:11,152] - INFO: Epoch 871/9999, Iter 87040: Loss = 0.015686703845858574, lr = [0.0001] +[2024-05-21 11:09:25,537] - INFO: Epoch 871/9999, Iter 87060: Loss = 0.012362543493509293, lr = [0.0001] +[2024-05-21 11:09:39,880] - INFO: Epoch 871/9999, Iter 87080: Loss = 0.010973005555570126, lr = [0.0001] +[2024-05-21 11:09:55,618] - INFO: Epoch 872/9999, Iter 87100: Loss = 0.023439884185791016, lr = [0.0001] +[2024-05-21 11:10:10,096] - INFO: Epoch 872/9999, Iter 87120: Loss = 0.010550262406468391, lr = [0.0001] +[2024-05-21 11:10:24,600] - INFO: Epoch 872/9999, Iter 87140: Loss = 0.016997231170535088, lr = [0.0001] +[2024-05-21 11:10:39,040] - INFO: Epoch 872/9999, Iter 87160: Loss = 0.014679084531962872, lr = [0.0001] +[2024-05-21 11:10:53,584] - INFO: Epoch 872/9999, Iter 87180: Loss = 0.013941842131316662, lr = [0.0001] +[2024-05-21 11:11:09,335] - INFO: Epoch 873/9999, Iter 87200: Loss = 0.01069177221506834, lr = [0.0001] +[2024-05-21 11:11:23,856] - INFO: Epoch 873/9999, Iter 87220: Loss = 0.009380636736750603, lr = [0.0001] +[2024-05-21 11:12:21,552] - INFO: Epoch 873/9999, Iter 87240: Loss = 0.006618242710828781, lr = [0.0001] +[2024-05-21 11:12:35,957] - INFO: Epoch 873/9999, Iter 87260: Loss = 0.015162399969995022, lr = [0.0001] +[2024-05-21 11:12:50,432] - INFO: Epoch 873/9999, Iter 87280: Loss = 0.010836916044354439, lr = [0.0001] +[2024-05-21 11:13:06,118] - INFO: Epoch 874/9999, Iter 87300: Loss = 0.00967432837933302, lr = [0.0001] +[2024-05-21 11:13:20,750] - INFO: Epoch 874/9999, Iter 87320: Loss = 0.008123815059661865, lr = [0.0001] +[2024-05-21 11:13:50,291] - INFO: Epoch 874/9999, Iter 87340: Loss = 0.024843038991093636, lr = [0.0001] +[2024-05-21 11:14:04,732] - INFO: Epoch 874/9999, Iter 87360: Loss = 0.006140908692032099, lr = [0.0001] +[2024-05-21 11:14:19,152] - INFO: Epoch 874/9999, Iter 87380: Loss = 0.010647236369550228, lr = [0.0001] +[2024-05-21 11:14:34,920] - INFO: Epoch 875/9999, Iter 87400: Loss = 0.008133321069180965, lr = [0.0001] +[2024-05-21 11:14:49,339] - INFO: Epoch 875/9999, Iter 87420: Loss = 0.013771693222224712, lr = [0.0001] +[2024-05-21 11:15:03,838] - INFO: Epoch 875/9999, Iter 87440: Loss = 0.01859378255903721, lr = [0.0001] +[2024-05-21 11:15:18,375] - INFO: Epoch 875/9999, Iter 87460: Loss = 0.010320122353732586, lr = [0.0001] +[2024-05-21 11:15:33,002] - INFO: Epoch 875/9999, Iter 87480: Loss = 0.010136022232472897, lr = [0.0001] +[2024-05-21 11:15:47,243] - INFO: Evaluate at epoch 875! +[2024-05-21 11:15:52,289] - INFO: Eval PSNR (max): 37.966 (870) SSIM (max): 0.9607 (870) +[2024-05-21 11:15:52,290] - INFO: Eval PSNR (current): 37.964 (875) SSIM (current): 0.9607 (875) +[2024-05-21 11:15:52,290] - INFO: Evaluation over. +[2024-05-21 11:16:37,907] - INFO: Epoch 876/9999, Iter 87500: Loss = 0.0049884263426065445, lr = [0.0001] +[2024-05-21 11:16:52,334] - INFO: Epoch 876/9999, Iter 87520: Loss = 0.009679557755589485, lr = [0.0001] +[2024-05-21 11:17:06,757] - INFO: Epoch 876/9999, Iter 87540: Loss = 0.025341365486383438, lr = [0.0001] +[2024-05-21 11:17:21,296] - INFO: Epoch 876/9999, Iter 87560: Loss = 0.020390311256051064, lr = [0.0001] +[2024-05-21 11:17:56,750] - INFO: Epoch 876/9999, Iter 87580: Loss = 0.012854770757257938, lr = [0.0001] +[2024-05-21 11:18:12,717] - INFO: Epoch 877/9999, Iter 87600: Loss = 0.014982095919549465, lr = [0.0001] +[2024-05-21 11:18:27,168] - INFO: Epoch 877/9999, Iter 87620: Loss = 0.014072739519178867, lr = [0.0001] +[2024-05-21 11:18:41,582] - INFO: Epoch 877/9999, Iter 87640: Loss = 0.009651901200413704, lr = [0.0001] +[2024-05-21 11:18:56,014] - INFO: Epoch 877/9999, Iter 87660: Loss = 0.009132632054388523, lr = [0.0001] +[2024-05-21 11:19:10,538] - INFO: Epoch 877/9999, Iter 87680: Loss = 0.015345734544098377, lr = [0.0001] +[2024-05-21 11:19:26,455] - INFO: Epoch 878/9999, Iter 87700: Loss = 0.010211996734142303, lr = [0.0001] +[2024-05-21 11:19:41,092] - INFO: Epoch 878/9999, Iter 87720: Loss = 0.007746044080704451, lr = [0.0001] +[2024-05-21 11:19:55,736] - INFO: Epoch 878/9999, Iter 87740: Loss = 0.014517954550683498, lr = [0.0001] +[2024-05-21 11:20:10,366] - INFO: Epoch 878/9999, Iter 87760: Loss = 0.008868638426065445, lr = [0.0001] +[2024-05-21 11:20:25,020] - INFO: Epoch 878/9999, Iter 87780: Loss = 0.016683116555213928, lr = [0.0001] +[2024-05-21 11:20:40,806] - INFO: Epoch 879/9999, Iter 87800: Loss = 0.007979054003953934, lr = [0.0001] +[2024-05-21 11:20:55,542] - INFO: Epoch 879/9999, Iter 87820: Loss = 0.01243353821337223, lr = [0.0001] +[2024-05-21 11:21:10,208] - INFO: Epoch 879/9999, Iter 87840: Loss = 0.006659112870693207, lr = [0.0001] +[2024-05-21 11:21:24,919] - INFO: Epoch 879/9999, Iter 87860: Loss = 0.01394584123045206, lr = [0.0001] +[2024-05-21 11:21:41,856] - INFO: Epoch 879/9999, Iter 87880: Loss = 0.010215675458312035, lr = [0.0001] +[2024-05-21 11:21:59,424] - INFO: Epoch 880/9999, Iter 87900: Loss = 0.00715833343565464, lr = [0.0001] +[2024-05-21 11:22:14,249] - INFO: Epoch 880/9999, Iter 87920: Loss = 0.020607182756066322, lr = [0.0001] +[2024-05-21 11:22:28,940] - INFO: Epoch 880/9999, Iter 87940: Loss = 0.012916875071823597, lr = [0.0001] +[2024-05-21 11:22:43,596] - INFO: Epoch 880/9999, Iter 87960: Loss = 0.0075058466754853725, lr = [0.0001] +[2024-05-21 11:22:58,234] - INFO: Epoch 880/9999, Iter 87980: Loss = 0.01577211357653141, lr = [0.0001] +[2024-05-21 11:23:12,646] - INFO: Evaluate at epoch 880! +[2024-05-21 11:24:01,652] - INFO: Eval PSNR (max): 37.966 (870) SSIM (max): 0.9607 (880) +[2024-05-21 11:24:01,653] - INFO: Eval PSNR (current): 37.941 (880) SSIM (current): 0.9607 (880) +[2024-05-21 11:24:01,653] - INFO: Evaluation over. +[2024-05-21 11:24:47,620] - INFO: Epoch 881/9999, Iter 88000: Loss = 0.013943533413112164, lr = [0.0001] +[2024-05-21 11:25:01,937] - INFO: Epoch 881/9999, Iter 88020: Loss = 0.011089109815657139, lr = [0.0001] +[2024-05-21 11:25:16,284] - INFO: Epoch 881/9999, Iter 88040: Loss = 0.014476113952696323, lr = [0.0001] +[2024-05-21 11:25:30,652] - INFO: Epoch 881/9999, Iter 88060: Loss = 0.017836173996329308, lr = [0.0001] +[2024-05-21 11:25:45,102] - INFO: Epoch 881/9999, Iter 88080: Loss = 0.009773592464625835, lr = [0.0001] +[2024-05-21 11:26:01,068] - INFO: Epoch 882/9999, Iter 88100: Loss = 0.023635799065232277, lr = [0.0001] +[2024-05-21 11:26:15,582] - INFO: Epoch 882/9999, Iter 88120: Loss = 0.012651507742702961, lr = [0.0001] +[2024-05-21 11:26:30,040] - INFO: Epoch 882/9999, Iter 88140: Loss = 0.014764328487217426, lr = [0.0001] +[2024-05-21 11:26:44,658] - INFO: Epoch 882/9999, Iter 88160: Loss = 0.021931596100330353, lr = [0.0001] +[2024-05-21 11:26:59,164] - INFO: Epoch 882/9999, Iter 88180: Loss = 0.015636129304766655, lr = [0.0001] +[2024-05-21 11:27:14,955] - INFO: Epoch 883/9999, Iter 88200: Loss = 0.012536466121673584, lr = [0.0001] +[2024-05-21 11:27:29,587] - INFO: Epoch 883/9999, Iter 88220: Loss = 0.011509139090776443, lr = [0.0001] +[2024-05-21 11:27:44,299] - INFO: Epoch 883/9999, Iter 88240: Loss = 0.016509881243109703, lr = [0.0001] +[2024-05-21 11:27:58,917] - INFO: Epoch 883/9999, Iter 88260: Loss = 0.011784849688410759, lr = [0.0001] +[2024-05-21 11:28:13,631] - INFO: Epoch 883/9999, Iter 88280: Loss = 0.009334187023341656, lr = [0.0001] +[2024-05-21 11:28:29,372] - INFO: Epoch 884/9999, Iter 88300: Loss = 0.013053958304226398, lr = [0.0001] +[2024-05-21 11:28:44,032] - INFO: Epoch 884/9999, Iter 88320: Loss = 0.012688773684203625, lr = [0.0001] +[2024-05-21 11:28:58,626] - INFO: Epoch 884/9999, Iter 88340: Loss = 0.006694570183753967, lr = [0.0001] +[2024-05-21 11:29:13,356] - INFO: Epoch 884/9999, Iter 88360: Loss = 0.019786309450864792, lr = [0.0001] +[2024-05-21 11:29:28,031] - INFO: Epoch 884/9999, Iter 88380: Loss = 0.017479268833994865, lr = [0.0001] +[2024-05-21 11:29:44,007] - INFO: Epoch 885/9999, Iter 88400: Loss = 0.013483126647770405, lr = [0.0001] +[2024-05-21 11:29:58,701] - INFO: Epoch 885/9999, Iter 88420: Loss = 0.013595578260719776, lr = [0.0001] +[2024-05-21 11:30:13,418] - INFO: Epoch 885/9999, Iter 88440: Loss = 0.006274763029068708, lr = [0.0001] +[2024-05-21 11:30:28,176] - INFO: Epoch 885/9999, Iter 88460: Loss = 0.013155047781765461, lr = [0.0001] +[2024-05-21 11:30:42,877] - INFO: Epoch 885/9999, Iter 88480: Loss = 0.0063879964873194695, lr = [0.0001] +[2024-05-21 11:30:57,234] - INFO: Evaluate at epoch 885! +[2024-05-21 11:31:02,289] - INFO: Eval PSNR (max): 37.966 (870) SSIM (max): 0.9607 (880) +[2024-05-21 11:31:02,290] - INFO: Eval PSNR (current): 37.878 (885) SSIM (current): 0.9606 (885) +[2024-05-21 11:31:02,290] - INFO: Evaluation over. +[2024-05-21 11:32:40,731] - INFO: Epoch 886/9999, Iter 88500: Loss = 0.00960283912718296, lr = [0.0001] +[2024-05-21 11:32:55,097] - INFO: Epoch 886/9999, Iter 88520: Loss = 0.0077172028832137585, lr = [0.0001] +[2024-05-21 11:33:09,529] - INFO: Epoch 886/9999, Iter 88540: Loss = 0.011968046426773071, lr = [0.0001] +[2024-05-21 11:33:23,857] - INFO: Epoch 886/9999, Iter 88560: Loss = 0.00488502299413085, lr = [0.0001] +[2024-05-21 11:33:38,316] - INFO: Epoch 886/9999, Iter 88580: Loss = 0.02428298629820347, lr = [0.0001] +[2024-05-21 11:33:54,017] - INFO: Epoch 887/9999, Iter 88600: Loss = 0.008015305735170841, lr = [0.0001] +[2024-05-21 11:34:08,532] - INFO: Epoch 887/9999, Iter 88620: Loss = 0.01652725599706173, lr = [0.0001] +[2024-05-21 11:34:23,086] - INFO: Epoch 887/9999, Iter 88640: Loss = 0.01188234519213438, lr = [0.0001] +[2024-05-21 11:34:37,651] - INFO: Epoch 887/9999, Iter 88660: Loss = 0.027070380747318268, lr = [0.0001] +[2024-05-21 11:34:52,208] - INFO: Epoch 887/9999, Iter 88680: Loss = 0.01595580205321312, lr = [0.0001] +[2024-05-21 11:35:08,109] - INFO: Epoch 888/9999, Iter 88700: Loss = 0.008295692503452301, lr = [0.0001] +[2024-05-21 11:35:22,676] - INFO: Epoch 888/9999, Iter 88720: Loss = 0.006272406317293644, lr = [0.0001] +[2024-05-21 11:35:37,312] - INFO: Epoch 888/9999, Iter 88740: Loss = 0.019296878948807716, lr = [0.0001] +[2024-05-21 11:35:51,952] - INFO: Epoch 888/9999, Iter 88760: Loss = 0.011131693609058857, lr = [0.0001] +[2024-05-21 11:36:06,657] - INFO: Epoch 888/9999, Iter 88780: Loss = 0.007227087393403053, lr = [0.0001] +[2024-05-21 11:36:22,609] - INFO: Epoch 889/9999, Iter 88800: Loss = 0.015176627784967422, lr = [0.0001] +[2024-05-21 11:36:37,343] - INFO: Epoch 889/9999, Iter 88820: Loss = 0.0167112834751606, lr = [0.0001] +[2024-05-21 11:36:52,048] - INFO: Epoch 889/9999, Iter 88840: Loss = 0.020634999498724937, lr = [0.0001] +[2024-05-21 11:37:06,784] - INFO: Epoch 889/9999, Iter 88860: Loss = 0.0074919466860592365, lr = [0.0001] +[2024-05-21 11:37:21,488] - INFO: Epoch 889/9999, Iter 88880: Loss = 0.0212540403008461, lr = [0.0001] +[2024-05-21 11:37:37,500] - INFO: Epoch 890/9999, Iter 88900: Loss = 0.016524894163012505, lr = [0.0001] +[2024-05-21 11:37:52,319] - INFO: Epoch 890/9999, Iter 88920: Loss = 0.010853513143956661, lr = [0.0001] +[2024-05-21 11:38:07,081] - INFO: Epoch 890/9999, Iter 88940: Loss = 0.01598476618528366, lr = [0.0001] +[2024-05-21 11:38:21,944] - INFO: Epoch 890/9999, Iter 88960: Loss = 0.009947633370757103, lr = [0.0001] +[2024-05-21 11:38:36,718] - INFO: Epoch 890/9999, Iter 88980: Loss = 0.02329925447702408, lr = [0.0001] +[2024-05-21 11:38:51,197] - INFO: Evaluate at epoch 890! +[2024-05-21 11:41:49,882] - INFO: Eval PSNR (max): 37.984 (890) SSIM (max): 0.9607 (880) +[2024-05-21 11:41:49,883] - INFO: Eval PSNR (current): 37.984 (890) SSIM (current): 0.9607 (890) +[2024-05-21 11:41:49,883] - INFO: Evaluation over. +[2024-05-21 11:42:35,191] - INFO: Epoch 891/9999, Iter 89000: Loss = 0.010722102597355843, lr = [0.0001] +[2024-05-21 11:42:49,514] - INFO: Epoch 891/9999, Iter 89020: Loss = 0.013000763952732086, lr = [0.0001] +[2024-05-21 11:43:03,838] - INFO: Epoch 891/9999, Iter 89040: Loss = 0.016200222074985504, lr = [0.0001] +[2024-05-21 11:43:18,088] - INFO: Epoch 891/9999, Iter 89060: Loss = 0.013770008459687233, lr = [0.0001] +[2024-05-21 11:43:32,380] - INFO: Epoch 891/9999, Iter 89080: Loss = 0.01485070027410984, lr = [0.0001] +[2024-05-21 11:43:48,080] - INFO: Epoch 892/9999, Iter 89100: Loss = 0.009875196032226086, lr = [0.0001] +[2024-05-21 11:44:02,487] - INFO: Epoch 892/9999, Iter 89120: Loss = 0.018085362389683723, lr = [0.0001] +[2024-05-21 11:44:16,968] - INFO: Epoch 892/9999, Iter 89140: Loss = 0.007560291793197393, lr = [0.0001] +[2024-05-21 11:44:31,361] - INFO: Epoch 892/9999, Iter 89160: Loss = 0.009001036174595356, lr = [0.0001] +[2024-05-21 11:44:45,855] - INFO: Epoch 892/9999, Iter 89180: Loss = 0.009635208174586296, lr = [0.0001] +[2024-05-21 11:45:01,628] - INFO: Epoch 893/9999, Iter 89200: Loss = 0.01821723021566868, lr = [0.0001] +[2024-05-21 11:45:16,116] - INFO: Epoch 893/9999, Iter 89220: Loss = 0.011575203388929367, lr = [0.0001] +[2024-05-21 11:45:30,621] - INFO: Epoch 893/9999, Iter 89240: Loss = 0.014292202889919281, lr = [0.0001] +[2024-05-21 11:45:45,264] - INFO: Epoch 893/9999, Iter 89260: Loss = 0.017238391563296318, lr = [0.0001] +[2024-05-21 11:45:59,841] - INFO: Epoch 893/9999, Iter 89280: Loss = 0.011118292808532715, lr = [0.0001] +[2024-05-21 11:46:15,651] - INFO: Epoch 894/9999, Iter 89300: Loss = 0.013002444058656693, lr = [0.0001] +[2024-05-21 11:46:30,372] - INFO: Epoch 894/9999, Iter 89320: Loss = 0.01424936018884182, lr = [0.0001] +[2024-05-21 11:46:45,070] - INFO: Epoch 894/9999, Iter 89340: Loss = 0.024102533236145973, lr = [0.0001] +[2024-05-21 11:46:59,796] - INFO: Epoch 894/9999, Iter 89360: Loss = 0.014370404183864594, lr = [0.0001] +[2024-05-21 11:47:14,514] - INFO: Epoch 894/9999, Iter 89380: Loss = 0.015037345699965954, lr = [0.0001] +[2024-05-21 11:47:30,556] - INFO: Epoch 895/9999, Iter 89400: Loss = 0.004515007603913546, lr = [0.0001] +[2024-05-21 11:47:45,476] - INFO: Epoch 895/9999, Iter 89420: Loss = 0.009510764852166176, lr = [0.0001] +[2024-05-21 11:48:00,228] - INFO: Epoch 895/9999, Iter 89440: Loss = 0.007349372375756502, lr = [0.0001] +[2024-05-21 11:48:14,948] - INFO: Epoch 895/9999, Iter 89460: Loss = 0.01901923678815365, lr = [0.0001] +[2024-05-21 11:48:29,695] - INFO: Epoch 895/9999, Iter 89480: Loss = 0.013367134146392345, lr = [0.0001] +[2024-05-21 11:48:44,119] - INFO: Evaluate at epoch 895! +[2024-05-21 11:48:49,197] - INFO: Eval PSNR (max): 37.984 (890) SSIM (max): 0.9607 (880) +[2024-05-21 11:48:49,197] - INFO: Eval PSNR (current): 37.896 (895) SSIM (current): 0.9604 (895) +[2024-05-21 11:48:49,197] - INFO: Evaluation over. +[2024-05-21 11:54:24,748] - INFO: Epoch 896/9999, Iter 89500: Loss = 0.015741722658276558, lr = [0.0001] +[2024-05-21 11:54:38,956] - INFO: Epoch 896/9999, Iter 89520: Loss = 0.01656339131295681, lr = [0.0001] +[2024-05-21 11:54:53,321] - INFO: Epoch 896/9999, Iter 89540: Loss = 0.016449185088276863, lr = [0.0001] +[2024-05-21 11:55:07,572] - INFO: Epoch 896/9999, Iter 89560: Loss = 0.007200578693300486, lr = [0.0001] +[2024-05-21 11:55:21,780] - INFO: Epoch 896/9999, Iter 89580: Loss = 0.012644657865166664, lr = [0.0001] +[2024-05-21 11:55:37,249] - INFO: Epoch 897/9999, Iter 89600: Loss = 0.012567959725856781, lr = [0.0001] +[2024-05-21 11:55:51,611] - INFO: Epoch 897/9999, Iter 89620: Loss = 0.013981521129608154, lr = [0.0001] +[2024-05-21 11:56:06,096] - INFO: Epoch 897/9999, Iter 89640: Loss = 0.009880704805254936, lr = [0.0001] +[2024-05-21 11:56:20,512] - INFO: Epoch 897/9999, Iter 89660: Loss = 0.015584406442940235, lr = [0.0001] +[2024-05-21 11:56:34,952] - INFO: Epoch 897/9999, Iter 89680: Loss = 0.013312555849552155, lr = [0.0001] +[2024-05-21 11:56:50,732] - INFO: Epoch 898/9999, Iter 89700: Loss = 0.011335372924804688, lr = [0.0001] +[2024-05-21 11:57:06,256] - INFO: Epoch 898/9999, Iter 89720: Loss = 0.008521078154444695, lr = [0.0001] +[2024-05-21 11:57:53,458] - INFO: Epoch 898/9999, Iter 89740: Loss = 0.013622265309095383, lr = [0.0001] +[2024-05-21 11:58:07,866] - INFO: Epoch 898/9999, Iter 89760: Loss = 0.012239394709467888, lr = [0.0001] +[2024-05-21 11:58:22,321] - INFO: Epoch 898/9999, Iter 89780: Loss = 0.015216897241771221, lr = [0.0001] +[2024-05-21 11:59:39,853] - INFO: Epoch 899/9999, Iter 89800: Loss = 0.01322233583778143, lr = [0.0001] +[2024-05-21 11:59:54,271] - INFO: Epoch 899/9999, Iter 89820: Loss = 0.01616784743964672, lr = [0.0001] +[2024-05-21 12:00:08,652] - INFO: Epoch 899/9999, Iter 89840: Loss = 0.01620490290224552, lr = [0.0001] +[2024-05-21 12:00:22,970] - INFO: Epoch 899/9999, Iter 89860: Loss = 0.01785704866051674, lr = [0.0001] +[2024-05-21 12:00:37,305] - INFO: Epoch 899/9999, Iter 89880: Loss = 0.014518327079713345, lr = [0.0001] +[2024-05-21 12:00:53,016] - INFO: Epoch 900/9999, Iter 89900: Loss = 0.011359134688973427, lr = [0.0001] +[2024-05-21 12:01:07,447] - INFO: Epoch 900/9999, Iter 89920: Loss = 0.0088448915630579, lr = [0.0001] +[2024-05-21 12:01:21,892] - INFO: Epoch 900/9999, Iter 89940: Loss = 0.008057203143835068, lr = [0.0001] +[2024-05-21 12:01:36,320] - INFO: Epoch 900/9999, Iter 89960: Loss = 0.012324647977948189, lr = [0.0001] +[2024-05-21 12:01:50,880] - INFO: Epoch 900/9999, Iter 89980: Loss = 0.015749825164675713, lr = [0.0001] +[2024-05-21 12:02:05,000] - INFO: Evaluate at epoch 900! +[2024-05-21 12:02:10,054] - INFO: Eval PSNR (max): 37.984 (890) SSIM (max): 0.9607 (880) +[2024-05-21 12:02:10,054] - INFO: Eval PSNR (current): 37.921 (900) SSIM (current): 0.9606 (900) +[2024-05-21 12:02:10,054] - INFO: Evaluation over. +[2024-05-21 12:11:41,301] - INFO: Epoch 901/9999, Iter 90000: Loss = 0.013089590705931187, lr = [0.0001] +[2024-05-21 12:11:55,429] - INFO: Epoch 901/9999, Iter 90020: Loss = 0.010292894206941128, lr = [0.0001] +[2024-05-21 12:12:09,646] - INFO: Epoch 901/9999, Iter 90040: Loss = 0.008188202977180481, lr = [0.0001] +[2024-05-21 12:12:23,855] - INFO: Epoch 901/9999, Iter 90060: Loss = 0.008057204075157642, lr = [0.0001] +[2024-05-21 12:12:38,144] - INFO: Epoch 901/9999, Iter 90080: Loss = 0.012986408546566963, lr = [0.0001] +[2024-05-21 12:13:14,658] - INFO: Epoch 902/9999, Iter 90100: Loss = 0.0209418423473835, lr = [0.0001] +[2024-05-21 12:13:29,022] - INFO: Epoch 902/9999, Iter 90120: Loss = 0.009406904689967632, lr = [0.0001] +[2024-05-21 12:13:43,411] - INFO: Epoch 902/9999, Iter 90140: Loss = 0.007207865361124277, lr = [0.0001] +[2024-05-21 12:13:57,737] - INFO: Epoch 902/9999, Iter 90160: Loss = 0.018527468666434288, lr = [0.0001] +[2024-05-21 12:14:38,976] - INFO: Epoch 902/9999, Iter 90180: Loss = 0.012056381441652775, lr = [0.0001] +[2024-05-21 12:14:54,552] - INFO: Epoch 903/9999, Iter 90200: Loss = 0.00759973144158721, lr = [0.0001] +[2024-05-21 12:15:08,931] - INFO: Epoch 903/9999, Iter 90220: Loss = 0.018831966444849968, lr = [0.0001] +[2024-05-21 12:15:23,346] - INFO: Epoch 903/9999, Iter 90240: Loss = 0.011878727935254574, lr = [0.0001] +[2024-05-21 12:15:37,788] - INFO: Epoch 903/9999, Iter 90260: Loss = 0.01201493851840496, lr = [0.0001] +[2024-05-21 12:15:52,362] - INFO: Epoch 903/9999, Iter 90280: Loss = 0.011955519206821918, lr = [0.0001] +[2024-05-21 12:16:08,071] - INFO: Epoch 904/9999, Iter 90300: Loss = 0.007180917542427778, lr = [0.0001] +[2024-05-21 12:16:22,662] - INFO: Epoch 904/9999, Iter 90320: Loss = 0.018345514312386513, lr = [0.0001] +[2024-05-21 12:16:37,150] - INFO: Epoch 904/9999, Iter 90340: Loss = 0.008629828691482544, lr = [0.0001] +[2024-05-21 12:16:51,724] - INFO: Epoch 904/9999, Iter 90360: Loss = 0.009339693933725357, lr = [0.0001] +[2024-05-21 12:17:06,337] - INFO: Epoch 904/9999, Iter 90380: Loss = 0.011916386894881725, lr = [0.0001] +[2024-05-21 12:17:22,112] - INFO: Epoch 905/9999, Iter 90400: Loss = 0.01103690080344677, lr = [0.0001] +[2024-05-21 12:17:36,809] - INFO: Epoch 905/9999, Iter 90420: Loss = 0.012076975777745247, lr = [0.0001] +[2024-05-21 12:17:51,598] - INFO: Epoch 905/9999, Iter 90440: Loss = 0.006302666384726763, lr = [0.0001] +[2024-05-21 12:18:06,235] - INFO: Epoch 905/9999, Iter 90460: Loss = 0.010783495381474495, lr = [0.0001] +[2024-05-21 12:18:26,118] - INFO: Epoch 905/9999, Iter 90480: Loss = 0.012708120048046112, lr = [0.0001] +[2024-05-21 12:18:40,650] - INFO: Evaluate at epoch 905! +[2024-05-21 12:18:45,692] - INFO: Eval PSNR (max): 37.984 (890) SSIM (max): 0.9607 (880) +[2024-05-21 12:18:45,692] - INFO: Eval PSNR (current): 37.928 (905) SSIM (current): 0.9607 (905) +[2024-05-21 12:18:45,692] - INFO: Evaluation over. +[2024-05-21 12:19:35,780] - INFO: Epoch 906/9999, Iter 90500: Loss = 0.01722748391330242, lr = [0.0001] +[2024-05-21 12:19:50,080] - INFO: Epoch 906/9999, Iter 90520: Loss = 0.013132438063621521, lr = [0.0001] +[2024-05-21 12:20:04,496] - INFO: Epoch 906/9999, Iter 90540: Loss = 0.012374144978821278, lr = [0.0001] +[2024-05-21 12:20:18,944] - INFO: Epoch 906/9999, Iter 90560: Loss = 0.02078150399029255, lr = [0.0001] +[2024-05-21 12:20:33,346] - INFO: Epoch 906/9999, Iter 90580: Loss = 0.01809239573776722, lr = [0.0001] +[2024-05-21 12:20:48,958] - INFO: Epoch 907/9999, Iter 90600: Loss = 0.012301645241677761, lr = [0.0001] +[2024-05-21 12:21:04,608] - INFO: Epoch 907/9999, Iter 90620: Loss = 0.021775249391794205, lr = [0.0001] +[2024-05-21 12:21:19,133] - INFO: Epoch 907/9999, Iter 90640: Loss = 0.009832244366407394, lr = [0.0001] +[2024-05-21 12:21:33,676] - INFO: Epoch 907/9999, Iter 90660: Loss = 0.009485429152846336, lr = [0.0001] +[2024-05-21 12:21:48,207] - INFO: Epoch 907/9999, Iter 90680: Loss = 0.011891664937138557, lr = [0.0001] +[2024-05-21 12:22:04,174] - INFO: Epoch 908/9999, Iter 90700: Loss = 0.01465681567788124, lr = [0.0001] +[2024-05-21 12:22:18,780] - INFO: Epoch 908/9999, Iter 90720: Loss = 0.01549331471323967, lr = [0.0001] +[2024-05-21 12:22:33,379] - INFO: Epoch 908/9999, Iter 90740: Loss = 0.014126867987215519, lr = [0.0001] +[2024-05-21 12:22:48,104] - INFO: Epoch 908/9999, Iter 90760: Loss = 0.01865333691239357, lr = [0.0001] +[2024-05-21 12:23:02,800] - INFO: Epoch 908/9999, Iter 90780: Loss = 0.022136064246296883, lr = [0.0001] +[2024-05-21 12:23:18,939] - INFO: Epoch 909/9999, Iter 90800: Loss = 0.018291708081960678, lr = [0.0001] +[2024-05-21 12:23:33,738] - INFO: Epoch 909/9999, Iter 90820: Loss = 0.010587112046778202, lr = [0.0001] +[2024-05-21 12:23:48,545] - INFO: Epoch 909/9999, Iter 90840: Loss = 0.010693350806832314, lr = [0.0001] +[2024-05-21 12:24:03,346] - INFO: Epoch 909/9999, Iter 90860: Loss = 0.021075237542390823, lr = [0.0001] +[2024-05-21 12:24:18,143] - INFO: Epoch 909/9999, Iter 90880: Loss = 0.015933599323034286, lr = [0.0001] +[2024-05-21 12:24:34,189] - INFO: Epoch 910/9999, Iter 90900: Loss = 0.013750029727816582, lr = [0.0001] +[2024-05-21 12:24:48,931] - INFO: Epoch 910/9999, Iter 90920: Loss = 0.107129767537117, lr = [0.0001] +[2024-05-21 12:25:03,751] - INFO: Epoch 910/9999, Iter 90940: Loss = 0.4815816581249237, lr = [0.0001] +[2024-05-21 12:25:18,546] - INFO: Epoch 910/9999, Iter 90960: Loss = 0.06836043298244476, lr = [0.0001] +[2024-05-21 12:25:33,325] - INFO: Epoch 910/9999, Iter 90980: Loss = 0.05548403784632683, lr = [0.0001] +[2024-05-21 12:25:47,865] - INFO: Evaluate at epoch 910! +[2024-05-21 12:25:52,695] - INFO: Eval PSNR (max): 37.984 (890) SSIM (max): 0.9607 (880) +[2024-05-21 12:25:52,695] - INFO: Eval PSNR (current): 32.090 (910) SSIM (current): 0.9354 (910) +[2024-05-21 12:25:52,695] - INFO: Evaluation over. +[2024-05-21 12:26:42,581] - INFO: Epoch 911/9999, Iter 91000: Loss = 0.03699009120464325, lr = [0.0001] +[2024-05-21 12:26:57,089] - INFO: Epoch 911/9999, Iter 91020: Loss = 0.02929684892296791, lr = [0.0001] +[2024-05-21 12:27:11,580] - INFO: Epoch 911/9999, Iter 91040: Loss = 0.015045451931655407, lr = [0.0001] +[2024-05-21 12:27:26,007] - INFO: Epoch 911/9999, Iter 91060: Loss = 0.01832684874534607, lr = [0.0001] +[2024-05-21 12:27:40,839] - INFO: Epoch 911/9999, Iter 91080: Loss = 0.013239244930446148, lr = [0.0001] +[2024-05-21 12:29:49,697] - INFO: Epoch 912/9999, Iter 91100: Loss = 0.011260521598160267, lr = [0.0001] +[2024-05-21 12:30:04,068] - INFO: Epoch 912/9999, Iter 91120: Loss = 0.012607143260538578, lr = [0.0001] +[2024-05-21 12:30:18,352] - INFO: Epoch 912/9999, Iter 91140: Loss = 0.01746460795402527, lr = [0.0001] +[2024-05-21 12:30:32,620] - INFO: Epoch 912/9999, Iter 91160: Loss = 0.01964128017425537, lr = [0.0001] +[2024-05-21 12:30:46,898] - INFO: Epoch 912/9999, Iter 91180: Loss = 0.017425505444407463, lr = [0.0001] +[2024-05-21 12:31:02,679] - INFO: Epoch 913/9999, Iter 91200: Loss = 0.008990508504211903, lr = [0.0001] +[2024-05-21 12:31:17,150] - INFO: Epoch 913/9999, Iter 91220: Loss = 0.014521891251206398, lr = [0.0001] +[2024-05-21 12:31:31,574] - INFO: Epoch 913/9999, Iter 91240: Loss = 0.013455219566822052, lr = [0.0001] +[2024-05-21 12:31:46,007] - INFO: Epoch 913/9999, Iter 91260: Loss = 0.011391296051442623, lr = [0.0001] +[2024-05-21 12:32:00,604] - INFO: Epoch 913/9999, Iter 91280: Loss = 0.010425526648759842, lr = [0.0001] +[2024-05-21 12:34:10,394] - INFO: Epoch 914/9999, Iter 91300: Loss = 0.021299317479133606, lr = [0.0001] +[2024-05-21 12:34:24,624] - INFO: Epoch 914/9999, Iter 91320: Loss = 0.010388226248323917, lr = [0.0001] +[2024-05-21 12:34:38,841] - INFO: Epoch 914/9999, Iter 91340: Loss = 0.01394167635589838, lr = [0.0001] +[2024-05-21 12:34:53,136] - INFO: Epoch 914/9999, Iter 91360: Loss = 0.016475364565849304, lr = [0.0001] +[2024-05-21 12:35:07,427] - INFO: Epoch 914/9999, Iter 91380: Loss = 0.012123209424316883, lr = [0.0001] +[2024-05-21 12:35:23,208] - INFO: Epoch 915/9999, Iter 91400: Loss = 0.013055659830570221, lr = [0.0001] +[2024-05-21 12:35:37,662] - INFO: Epoch 915/9999, Iter 91420: Loss = 0.015069670975208282, lr = [0.0001] +[2024-05-21 12:35:52,045] - INFO: Epoch 915/9999, Iter 91440: Loss = 0.011462030932307243, lr = [0.0001] +[2024-05-21 12:36:06,515] - INFO: Epoch 915/9999, Iter 91460: Loss = 0.015889855101704597, lr = [0.0001] +[2024-05-21 12:36:21,006] - INFO: Epoch 915/9999, Iter 91480: Loss = 0.023570924997329712, lr = [0.0001] +[2024-05-21 12:36:35,208] - INFO: Evaluate at epoch 915! +[2024-05-21 12:36:40,191] - INFO: Eval PSNR (max): 37.984 (890) SSIM (max): 0.9607 (880) +[2024-05-21 12:36:40,191] - INFO: Eval PSNR (current): 37.547 (915) SSIM (current): 0.9590 (915) +[2024-05-21 12:36:40,191] - INFO: Evaluation over. +[2024-05-21 12:37:30,102] - INFO: Epoch 916/9999, Iter 91500: Loss = 0.009851287119090557, lr = [0.0001] +[2024-05-21 12:37:44,393] - INFO: Epoch 916/9999, Iter 91520: Loss = 0.020866019651293755, lr = [0.0001] +[2024-05-21 12:37:58,797] - INFO: Epoch 916/9999, Iter 91540: Loss = 0.015120269730687141, lr = [0.0001] +[2024-05-21 12:38:13,129] - INFO: Epoch 916/9999, Iter 91560: Loss = 0.01479286514222622, lr = [0.0001] +[2024-05-21 12:38:27,447] - INFO: Epoch 916/9999, Iter 91580: Loss = 0.0104671036824584, lr = [0.0001] +[2024-05-21 12:38:42,899] - INFO: Epoch 917/9999, Iter 91600: Loss = 0.013882521539926529, lr = [0.0001] +[2024-05-21 12:38:57,349] - INFO: Epoch 917/9999, Iter 91620: Loss = 0.016736440360546112, lr = [0.0001] +[2024-05-21 12:39:11,926] - INFO: Epoch 917/9999, Iter 91640: Loss = 0.011086449958384037, lr = [0.0001] +[2024-05-21 12:39:26,390] - INFO: Epoch 917/9999, Iter 91660: Loss = 0.013511409051716328, lr = [0.0001] +[2024-05-21 12:39:40,902] - INFO: Epoch 917/9999, Iter 91680: Loss = 0.025340601801872253, lr = [0.0001] +[2024-05-21 12:39:56,660] - INFO: Epoch 918/9999, Iter 91700: Loss = 0.010591603815555573, lr = [0.0001] +[2024-05-21 12:40:11,166] - INFO: Epoch 918/9999, Iter 91720: Loss = 0.010499102994799614, lr = [0.0001] +[2024-05-21 12:40:25,728] - INFO: Epoch 918/9999, Iter 91740: Loss = 0.012483454309403896, lr = [0.0001] +[2024-05-21 12:40:40,361] - INFO: Epoch 918/9999, Iter 91760: Loss = 0.008887282572686672, lr = [0.0001] +[2024-05-21 12:40:54,996] - INFO: Epoch 918/9999, Iter 91780: Loss = 0.006221368908882141, lr = [0.0001] +[2024-05-21 12:41:10,992] - INFO: Epoch 919/9999, Iter 91800: Loss = 0.006107439752668142, lr = [0.0001] +[2024-05-21 12:41:25,731] - INFO: Epoch 919/9999, Iter 91820: Loss = 0.019388245418667793, lr = [0.0001] +[2024-05-21 12:41:40,467] - INFO: Epoch 919/9999, Iter 91840: Loss = 0.011612833477556705, lr = [0.0001] +[2024-05-21 12:41:55,256] - INFO: Epoch 919/9999, Iter 91860: Loss = 0.008817247115075588, lr = [0.0001] +[2024-05-21 12:42:09,975] - INFO: Epoch 919/9999, Iter 91880: Loss = 0.022693144157528877, lr = [0.0001] +[2024-05-21 12:42:25,840] - INFO: Epoch 920/9999, Iter 91900: Loss = 0.013880419544875622, lr = [0.0001] +[2024-05-21 12:42:40,684] - INFO: Epoch 920/9999, Iter 91920: Loss = 0.008947675116360188, lr = [0.0001] +[2024-05-21 12:42:55,361] - INFO: Epoch 920/9999, Iter 91940: Loss = 0.00923815555870533, lr = [0.0001] +[2024-05-21 12:43:10,055] - INFO: Epoch 920/9999, Iter 91960: Loss = 0.009095876477658749, lr = [0.0001] +[2024-05-21 12:43:24,728] - INFO: Epoch 920/9999, Iter 91980: Loss = 0.009039858356118202, lr = [0.0001] +[2024-05-21 12:43:39,108] - INFO: Evaluate at epoch 920! +[2024-05-21 12:43:44,221] - INFO: Eval PSNR (max): 37.984 (890) SSIM (max): 0.9607 (880) +[2024-05-21 12:43:44,221] - INFO: Eval PSNR (current): 37.699 (920) SSIM (current): 0.9598 (920) +[2024-05-21 12:43:44,221] - INFO: Evaluation over. +[2024-05-21 12:44:34,864] - INFO: Epoch 921/9999, Iter 92000: Loss = 0.011194471269845963, lr = [0.0001] +[2024-05-21 12:44:49,430] - INFO: Epoch 921/9999, Iter 92020: Loss = 0.018213951960206032, lr = [0.0001] +[2024-05-21 12:45:03,936] - INFO: Epoch 921/9999, Iter 92040: Loss = 0.013815546408295631, lr = [0.0001] +[2024-05-21 12:45:18,452] - INFO: Epoch 921/9999, Iter 92060: Loss = 0.011441010050475597, lr = [0.0001] +[2024-05-21 12:45:32,927] - INFO: Epoch 921/9999, Iter 92080: Loss = 0.008521457202732563, lr = [0.0001] +[2024-05-21 12:45:48,733] - INFO: Epoch 922/9999, Iter 92100: Loss = 0.014648190699517727, lr = [0.0001] +[2024-05-21 12:46:03,252] - INFO: Epoch 922/9999, Iter 92120: Loss = 0.01058595534414053, lr = [0.0001] +[2024-05-21 12:46:17,836] - INFO: Epoch 922/9999, Iter 92140: Loss = 0.011639796197414398, lr = [0.0001] +[2024-05-21 12:46:32,420] - INFO: Epoch 922/9999, Iter 92160: Loss = 0.02122730016708374, lr = [0.0001] +[2024-05-21 12:46:47,112] - INFO: Epoch 922/9999, Iter 92180: Loss = 0.013103948906064034, lr = [0.0001] +[2024-05-21 12:47:03,137] - INFO: Epoch 923/9999, Iter 92200: Loss = 0.007727874908596277, lr = [0.0001] +[2024-05-21 12:47:17,888] - INFO: Epoch 923/9999, Iter 92220: Loss = 0.019765984266996384, lr = [0.0001] +[2024-05-21 12:47:32,512] - INFO: Epoch 923/9999, Iter 92240: Loss = 0.008437556214630604, lr = [0.0001] +[2024-05-21 12:47:47,181] - INFO: Epoch 923/9999, Iter 92260: Loss = 0.018688498064875603, lr = [0.0001] +[2024-05-21 12:48:01,937] - INFO: Epoch 923/9999, Iter 92280: Loss = 0.012530474923551083, lr = [0.0001] +[2024-05-21 12:48:18,014] - INFO: Epoch 924/9999, Iter 92300: Loss = 0.014506351202726364, lr = [0.0001] +[2024-05-21 12:48:32,808] - INFO: Epoch 924/9999, Iter 92320: Loss = 0.016604261472821236, lr = [0.0001] +[2024-05-21 12:48:47,581] - INFO: Epoch 924/9999, Iter 92340: Loss = 0.008920661173760891, lr = [0.0001] +[2024-05-21 12:49:02,326] - INFO: Epoch 924/9999, Iter 92360: Loss = 0.010517400689423084, lr = [0.0001] +[2024-05-21 12:49:17,140] - INFO: Epoch 924/9999, Iter 92380: Loss = 0.010431061498820782, lr = [0.0001] +[2024-05-21 12:49:33,255] - INFO: Epoch 925/9999, Iter 92400: Loss = 0.013957608491182327, lr = [0.0001] +[2024-05-21 12:49:48,296] - INFO: Epoch 925/9999, Iter 92420: Loss = 0.019294634461402893, lr = [0.0001] +[2024-05-21 12:50:03,102] - INFO: Epoch 925/9999, Iter 92440: Loss = 0.014198536053299904, lr = [0.0001] +[2024-05-21 12:50:17,931] - INFO: Epoch 925/9999, Iter 92460: Loss = 0.008083714172244072, lr = [0.0001] +[2024-05-21 12:50:32,778] - INFO: Epoch 925/9999, Iter 92480: Loss = 0.012031872756779194, lr = [0.0001] +[2024-05-21 12:50:47,296] - INFO: Evaluate at epoch 925! +[2024-05-21 12:50:52,225] - INFO: Eval PSNR (max): 37.984 (890) SSIM (max): 0.9607 (880) +[2024-05-21 12:50:52,225] - INFO: Eval PSNR (current): 37.841 (925) SSIM (current): 0.9601 (925) +[2024-05-21 12:50:52,225] - INFO: Evaluation over. +[2024-05-21 12:51:41,540] - INFO: Epoch 926/9999, Iter 92500: Loss = 0.02219207212328911, lr = [0.0001] +[2024-05-21 12:51:55,974] - INFO: Epoch 926/9999, Iter 92520: Loss = 0.024885624647140503, lr = [0.0001] +[2024-05-21 12:52:10,584] - INFO: Epoch 926/9999, Iter 92540: Loss = 0.017673147842288017, lr = [0.0001] +[2024-05-21 12:52:25,176] - INFO: Epoch 926/9999, Iter 92560: Loss = 0.01064543891698122, lr = [0.0001] +[2024-05-21 12:52:39,694] - INFO: Epoch 926/9999, Iter 92580: Loss = 0.009673737920820713, lr = [0.0001] +[2024-05-21 12:52:55,512] - INFO: Epoch 927/9999, Iter 92600: Loss = 0.018035633489489555, lr = [0.0001] +[2024-05-21 12:53:10,042] - INFO: Epoch 927/9999, Iter 92620: Loss = 0.013517907820641994, lr = [0.0001] +[2024-05-21 12:53:24,593] - INFO: Epoch 927/9999, Iter 92640: Loss = 0.026035644114017487, lr = [0.0001] +[2024-05-21 12:53:39,173] - INFO: Epoch 927/9999, Iter 92660: Loss = 0.0064737736247479916, lr = [0.0001] +[2024-05-21 12:53:53,772] - INFO: Epoch 927/9999, Iter 92680: Loss = 0.012634700164198875, lr = [0.0001] +[2024-05-21 12:54:09,654] - INFO: Epoch 928/9999, Iter 92700: Loss = 0.009013360366225243, lr = [0.0001] +[2024-05-21 12:54:24,389] - INFO: Epoch 928/9999, Iter 92720: Loss = 0.014457047916948795, lr = [0.0001] +[2024-05-21 12:54:39,074] - INFO: Epoch 928/9999, Iter 92740: Loss = 0.008658272214233875, lr = [0.0001] +[2024-05-21 12:54:53,732] - INFO: Epoch 928/9999, Iter 92760: Loss = 0.011324386112391949, lr = [0.0001] +[2024-05-21 12:55:08,356] - INFO: Epoch 928/9999, Iter 92780: Loss = 0.010390831157565117, lr = [0.0001] +[2024-05-21 12:55:24,260] - INFO: Epoch 929/9999, Iter 92800: Loss = 0.01462493371218443, lr = [0.0001] +[2024-05-21 12:55:38,958] - INFO: Epoch 929/9999, Iter 92820: Loss = 0.011496826075017452, lr = [0.0001] +[2024-05-21 12:55:53,672] - INFO: Epoch 929/9999, Iter 92840: Loss = 0.011268612928688526, lr = [0.0001] +[2024-05-21 12:56:08,438] - INFO: Epoch 929/9999, Iter 92860: Loss = 0.009242325089871883, lr = [0.0001] +[2024-05-21 12:56:23,220] - INFO: Epoch 929/9999, Iter 92880: Loss = 0.012734221294522285, lr = [0.0001] +[2024-05-21 12:56:39,317] - INFO: Epoch 930/9999, Iter 92900: Loss = 0.012718266807496548, lr = [0.0001] +[2024-05-21 12:56:54,089] - INFO: Epoch 930/9999, Iter 92920: Loss = 0.013127765618264675, lr = [0.0001] +[2024-05-21 12:57:08,762] - INFO: Epoch 930/9999, Iter 92940: Loss = 0.013347773812711239, lr = [0.0001] +[2024-05-21 12:57:23,403] - INFO: Epoch 930/9999, Iter 92960: Loss = 0.015450029633939266, lr = [0.0001] +[2024-05-21 12:57:38,143] - INFO: Epoch 930/9999, Iter 92980: Loss = 0.014940662309527397, lr = [0.0001] +[2024-05-21 12:57:52,484] - INFO: Evaluate at epoch 930! +[2024-05-21 12:57:57,469] - INFO: Eval PSNR (max): 37.984 (890) SSIM (max): 0.9607 (880) +[2024-05-21 12:57:57,470] - INFO: Eval PSNR (current): 37.619 (930) SSIM (current): 0.9602 (930) +[2024-05-21 12:57:57,470] - INFO: Evaluation over. +[2024-05-21 12:58:47,176] - INFO: Epoch 931/9999, Iter 93000: Loss = 0.01596757024526596, lr = [0.0001] +[2024-05-21 12:59:01,564] - INFO: Epoch 931/9999, Iter 93020: Loss = 0.012802168726921082, lr = [0.0001] +[2024-05-21 12:59:16,113] - INFO: Epoch 931/9999, Iter 93040: Loss = 0.009348452091217041, lr = [0.0001] +[2024-05-21 12:59:30,576] - INFO: Epoch 931/9999, Iter 93060: Loss = 0.015598047524690628, lr = [0.0001] +[2024-05-21 12:59:45,084] - INFO: Epoch 931/9999, Iter 93080: Loss = 0.009255553595721722, lr = [0.0001] +[2024-05-21 13:00:00,974] - INFO: Epoch 932/9999, Iter 93100: Loss = 0.011847998015582561, lr = [0.0001] +[2024-05-21 13:00:15,472] - INFO: Epoch 932/9999, Iter 93120: Loss = 0.011798535473644733, lr = [0.0001] +[2024-05-21 13:00:30,055] - INFO: Epoch 932/9999, Iter 93140: Loss = 0.010238719172775745, lr = [0.0001] +[2024-05-21 13:00:44,614] - INFO: Epoch 932/9999, Iter 93160: Loss = 0.020551394671201706, lr = [0.0001] +[2024-05-21 13:00:59,240] - INFO: Epoch 932/9999, Iter 93180: Loss = 0.01758384332060814, lr = [0.0001] +[2024-05-21 13:01:15,276] - INFO: Epoch 933/9999, Iter 93200: Loss = 0.012037187814712524, lr = [0.0001] +[2024-05-21 13:01:29,932] - INFO: Epoch 933/9999, Iter 93220: Loss = 0.015879113227128983, lr = [0.0001] +[2024-05-21 13:01:44,593] - INFO: Epoch 933/9999, Iter 93240: Loss = 0.011919790878891945, lr = [0.0001] +[2024-05-21 13:01:59,240] - INFO: Epoch 933/9999, Iter 93260: Loss = 0.011529902927577496, lr = [0.0001] +[2024-05-21 13:02:13,871] - INFO: Epoch 933/9999, Iter 93280: Loss = 0.013349381275475025, lr = [0.0001] +[2024-05-21 13:02:29,884] - INFO: Epoch 934/9999, Iter 93300: Loss = 0.006589230615645647, lr = [0.0001] +[2024-05-21 13:02:44,536] - INFO: Epoch 934/9999, Iter 93320: Loss = 0.013914190232753754, lr = [0.0001] +[2024-05-21 13:02:59,196] - INFO: Epoch 934/9999, Iter 93340: Loss = 0.018266556784510612, lr = [0.0001] +[2024-05-21 13:03:13,872] - INFO: Epoch 934/9999, Iter 93360: Loss = 0.009210203774273396, lr = [0.0001] +[2024-05-21 13:03:28,654] - INFO: Epoch 934/9999, Iter 93380: Loss = 0.015104896388947964, lr = [0.0001] +[2024-05-21 13:03:44,531] - INFO: Epoch 935/9999, Iter 93400: Loss = 0.020847424864768982, lr = [0.0001] +[2024-05-21 13:03:59,426] - INFO: Epoch 935/9999, Iter 93420: Loss = 0.017770342528820038, lr = [0.0001] +[2024-05-21 13:04:14,159] - INFO: Epoch 935/9999, Iter 93440: Loss = 0.014446199871599674, lr = [0.0001] +[2024-05-21 13:04:28,907] - INFO: Epoch 935/9999, Iter 93460: Loss = 0.008483543060719967, lr = [0.0001] +[2024-05-21 13:04:43,728] - INFO: Epoch 935/9999, Iter 93480: Loss = 0.015544653870165348, lr = [0.0001] +[2024-05-21 13:04:58,250] - INFO: Evaluate at epoch 935! +[2024-05-21 13:05:03,061] - INFO: Eval PSNR (max): 37.984 (890) SSIM (max): 0.9607 (880) +[2024-05-21 13:05:03,061] - INFO: Eval PSNR (current): 37.906 (935) SSIM (current): 0.9603 (935) +[2024-05-21 13:05:03,061] - INFO: Evaluation over. +[2024-05-21 13:05:52,490] - INFO: Epoch 936/9999, Iter 93500: Loss = 0.020255442708730698, lr = [0.0001] +[2024-05-21 13:06:07,026] - INFO: Epoch 936/9999, Iter 93520: Loss = 0.007674232590943575, lr = [0.0001] +[2024-05-21 13:06:21,456] - INFO: Epoch 936/9999, Iter 93540: Loss = 0.010966506786644459, lr = [0.0001] +[2024-05-21 13:06:35,958] - INFO: Epoch 936/9999, Iter 93560: Loss = 0.012508933432400227, lr = [0.0001] +[2024-05-21 13:06:50,375] - INFO: Epoch 936/9999, Iter 93580: Loss = 0.011003117077052593, lr = [0.0001] +[2024-05-21 13:07:06,091] - INFO: Epoch 937/9999, Iter 93600: Loss = 0.023260802030563354, lr = [0.0001] +[2024-05-21 13:07:20,885] - INFO: Epoch 937/9999, Iter 93620: Loss = 0.007138942368328571, lr = [0.0001] +[2024-05-21 13:07:35,484] - INFO: Epoch 937/9999, Iter 93640: Loss = 0.011164126917719841, lr = [0.0001] +[2024-05-21 13:07:49,990] - INFO: Epoch 937/9999, Iter 93660: Loss = 0.010192840360105038, lr = [0.0001] +[2024-05-21 13:08:04,703] - INFO: Epoch 937/9999, Iter 93680: Loss = 0.013362151570618153, lr = [0.0001] +[2024-05-21 13:08:20,576] - INFO: Epoch 938/9999, Iter 93700: Loss = 0.011189608834683895, lr = [0.0001] +[2024-05-21 13:08:35,233] - INFO: Epoch 938/9999, Iter 93720: Loss = 0.011987222358584404, lr = [0.0001] +[2024-05-21 13:08:49,949] - INFO: Epoch 938/9999, Iter 93740: Loss = 0.009487266652286053, lr = [0.0001] +[2024-05-21 13:09:04,684] - INFO: Epoch 938/9999, Iter 93760: Loss = 0.016981882974505424, lr = [0.0001] +[2024-05-21 13:09:19,507] - INFO: Epoch 938/9999, Iter 93780: Loss = 0.014516770839691162, lr = [0.0001] +[2024-05-21 13:09:35,545] - INFO: Epoch 939/9999, Iter 93800: Loss = 0.013886361382901669, lr = [0.0001] +[2024-05-21 13:09:50,301] - INFO: Epoch 939/9999, Iter 93820: Loss = 0.01637197658419609, lr = [0.0001] +[2024-05-21 13:10:05,028] - INFO: Epoch 939/9999, Iter 93840: Loss = 0.01663871854543686, lr = [0.0001] +[2024-05-21 13:10:19,825] - INFO: Epoch 939/9999, Iter 93860: Loss = 0.011626727879047394, lr = [0.0001] +[2024-05-21 13:10:34,689] - INFO: Epoch 939/9999, Iter 93880: Loss = 0.014423209242522717, lr = [0.0001] +[2024-05-21 13:10:50,824] - INFO: Epoch 940/9999, Iter 93900: Loss = 0.00875353254377842, lr = [0.0001] +[2024-05-21 13:11:05,692] - INFO: Epoch 940/9999, Iter 93920: Loss = 0.006609851494431496, lr = [0.0001] +[2024-05-21 13:11:20,504] - INFO: Epoch 940/9999, Iter 93940: Loss = 0.0075123002752661705, lr = [0.0001] +[2024-05-21 13:11:35,359] - INFO: Epoch 940/9999, Iter 93960: Loss = 0.019599704071879387, lr = [0.0001] +[2024-05-21 13:11:50,106] - INFO: Epoch 940/9999, Iter 93980: Loss = 0.02070433646440506, lr = [0.0001] +[2024-05-21 13:12:04,614] - INFO: Evaluate at epoch 940! +[2024-05-21 13:12:09,617] - INFO: Eval PSNR (max): 37.984 (890) SSIM (max): 0.9607 (880) +[2024-05-21 13:12:09,617] - INFO: Eval PSNR (current): 37.692 (940) SSIM (current): 0.9600 (940) +[2024-05-21 13:12:09,617] - INFO: Evaluation over. +[2024-05-21 13:13:54,191] - INFO: Epoch 941/9999, Iter 94000: Loss = 0.02135828696191311, lr = [0.0001] +[2024-05-21 13:14:08,542] - INFO: Epoch 941/9999, Iter 94020: Loss = 0.016565142199397087, lr = [0.0001] +[2024-05-21 13:14:22,944] - INFO: Epoch 941/9999, Iter 94040: Loss = 0.011380769312381744, lr = [0.0001] +[2024-05-21 13:14:49,526] - INFO: Epoch 941/9999, Iter 94060: Loss = 0.020338136702775955, lr = [0.0001] +[2024-05-21 13:15:03,870] - INFO: Epoch 941/9999, Iter 94080: Loss = 0.009736494161188602, lr = [0.0001] +[2024-05-21 13:15:19,611] - INFO: Epoch 942/9999, Iter 94100: Loss = 0.02640559896826744, lr = [0.0001] +[2024-05-21 13:15:34,132] - INFO: Epoch 942/9999, Iter 94120: Loss = 0.022321423515677452, lr = [0.0001] +[2024-05-21 13:15:48,645] - INFO: Epoch 942/9999, Iter 94140: Loss = 0.014225895516574383, lr = [0.0001] +[2024-05-21 13:16:03,051] - INFO: Epoch 942/9999, Iter 94160: Loss = 0.01901085302233696, lr = [0.0001] +[2024-05-21 13:16:17,541] - INFO: Epoch 942/9999, Iter 94180: Loss = 0.01089839730411768, lr = [0.0001] +[2024-05-21 13:16:33,277] - INFO: Epoch 943/9999, Iter 94200: Loss = 0.014001057483255863, lr = [0.0001] +[2024-05-21 13:16:47,790] - INFO: Epoch 943/9999, Iter 94220: Loss = 0.011872882954776287, lr = [0.0001] +[2024-05-21 13:17:02,387] - INFO: Epoch 943/9999, Iter 94240: Loss = 0.013056398369371891, lr = [0.0001] +[2024-05-21 13:17:16,885] - INFO: Epoch 943/9999, Iter 94260: Loss = 0.018098201602697372, lr = [0.0001] +[2024-05-21 13:17:31,405] - INFO: Epoch 943/9999, Iter 94280: Loss = 0.013718337751924992, lr = [0.0001] +[2024-05-21 13:17:47,364] - INFO: Epoch 944/9999, Iter 94300: Loss = 0.014980870299041271, lr = [0.0001] +[2024-05-21 13:18:02,184] - INFO: Epoch 944/9999, Iter 94320: Loss = 0.012566445395350456, lr = [0.0001] +[2024-05-21 13:18:16,786] - INFO: Epoch 944/9999, Iter 94340: Loss = 0.013011224567890167, lr = [0.0001] +[2024-05-21 13:18:31,416] - INFO: Epoch 944/9999, Iter 94360: Loss = 0.009731542319059372, lr = [0.0001] +[2024-05-21 13:18:46,083] - INFO: Epoch 944/9999, Iter 94380: Loss = 0.01131631713360548, lr = [0.0001] +[2024-05-21 13:19:02,051] - INFO: Epoch 945/9999, Iter 94400: Loss = 0.011806845664978027, lr = [0.0001] +[2024-05-21 13:19:16,801] - INFO: Epoch 945/9999, Iter 94420: Loss = 0.012063554488122463, lr = [0.0001] +[2024-05-21 13:19:31,534] - INFO: Epoch 945/9999, Iter 94440: Loss = 0.007659008726477623, lr = [0.0001] +[2024-05-21 13:19:46,188] - INFO: Epoch 945/9999, Iter 94460: Loss = 0.016452042385935783, lr = [0.0001] +[2024-05-21 13:20:00,838] - INFO: Epoch 945/9999, Iter 94480: Loss = 0.012469738721847534, lr = [0.0001] +[2024-05-21 13:20:15,132] - INFO: Evaluate at epoch 945! +[2024-05-21 13:20:20,116] - INFO: Eval PSNR (max): 37.984 (890) SSIM (max): 0.9607 (880) +[2024-05-21 13:20:20,117] - INFO: Eval PSNR (current): 37.933 (945) SSIM (current): 0.9606 (945) +[2024-05-21 13:20:20,117] - INFO: Evaluation over. +[2024-05-21 13:21:10,178] - INFO: Epoch 946/9999, Iter 94500: Loss = 0.021229317411780357, lr = [0.0001] +[2024-05-21 13:21:24,568] - INFO: Epoch 946/9999, Iter 94520: Loss = 0.012866766192018986, lr = [0.0001] +[2024-05-21 13:21:39,034] - INFO: Epoch 946/9999, Iter 94540: Loss = 0.016898591071367264, lr = [0.0001] +[2024-05-21 13:21:53,651] - INFO: Epoch 946/9999, Iter 94560: Loss = 0.009159655310213566, lr = [0.0001] +[2024-05-21 13:22:08,069] - INFO: Epoch 946/9999, Iter 94580: Loss = 0.011566606350243092, lr = [0.0001] +[2024-05-21 13:22:23,780] - INFO: Epoch 947/9999, Iter 94600: Loss = 0.007770565804094076, lr = [0.0001] +[2024-05-21 13:22:38,284] - INFO: Epoch 947/9999, Iter 94620: Loss = 0.019023766741156578, lr = [0.0001] +[2024-05-21 13:22:52,778] - INFO: Epoch 947/9999, Iter 94640: Loss = 0.010215491987764835, lr = [0.0001] +[2024-05-21 13:23:07,312] - INFO: Epoch 947/9999, Iter 94660: Loss = 0.011547518894076347, lr = [0.0001] +[2024-05-21 13:23:21,952] - INFO: Epoch 947/9999, Iter 94680: Loss = 0.016889289021492004, lr = [0.0001] +[2024-05-21 13:23:37,965] - INFO: Epoch 948/9999, Iter 94700: Loss = 0.006772777996957302, lr = [0.0001] +[2024-05-21 13:23:52,632] - INFO: Epoch 948/9999, Iter 94720: Loss = 0.014354413375258446, lr = [0.0001] +[2024-05-21 13:24:07,259] - INFO: Epoch 948/9999, Iter 94740: Loss = 0.01291192788630724, lr = [0.0001] +[2024-05-21 13:24:21,874] - INFO: Epoch 948/9999, Iter 94760: Loss = 0.012132177129387856, lr = [0.0001] +[2024-05-21 13:24:36,524] - INFO: Epoch 948/9999, Iter 94780: Loss = 0.012780414894223213, lr = [0.0001] +[2024-05-21 13:24:52,356] - INFO: Epoch 949/9999, Iter 94800: Loss = 0.016123037785291672, lr = [0.0001] +[2024-05-21 13:25:07,008] - INFO: Epoch 949/9999, Iter 94820: Loss = 0.009435156360268593, lr = [0.0001] +[2024-05-21 13:25:21,692] - INFO: Epoch 949/9999, Iter 94840: Loss = 0.017422471195459366, lr = [0.0001] +[2024-05-21 13:25:36,380] - INFO: Epoch 949/9999, Iter 94860: Loss = 0.014635789208114147, lr = [0.0001] +[2024-05-21 13:25:51,136] - INFO: Epoch 949/9999, Iter 94880: Loss = 0.01993975229561329, lr = [0.0001] +[2024-05-21 13:26:07,248] - INFO: Epoch 950/9999, Iter 94900: Loss = 0.010851090773940086, lr = [0.0001] +[2024-05-21 13:26:22,102] - INFO: Epoch 950/9999, Iter 94920: Loss = 0.01825026050209999, lr = [0.0001] +[2024-05-21 13:26:36,720] - INFO: Epoch 950/9999, Iter 94940: Loss = 0.00974296685308218, lr = [0.0001] +[2024-05-21 13:26:51,312] - INFO: Epoch 950/9999, Iter 94960: Loss = 0.008900337852537632, lr = [0.0001] +[2024-05-21 13:27:06,031] - INFO: Epoch 950/9999, Iter 94980: Loss = 0.01541456300765276, lr = [0.0001] +[2024-05-21 13:27:20,408] - INFO: Evaluate at epoch 950! +[2024-05-21 13:27:25,343] - INFO: Eval PSNR (max): 37.984 (890) SSIM (max): 0.9607 (880) +[2024-05-21 13:27:25,344] - INFO: Eval PSNR (current): 37.380 (950) SSIM (current): 0.9599 (950) +[2024-05-21 13:27:25,344] - INFO: Evaluation over. +[2024-05-21 13:29:12,336] - INFO: Epoch 951/9999, Iter 95000: Loss = 0.011547655798494816, lr = [0.0001] +[2024-05-21 13:29:26,594] - INFO: Epoch 951/9999, Iter 95020: Loss = 0.018210818991065025, lr = [0.0001] +[2024-05-21 13:29:40,932] - INFO: Epoch 951/9999, Iter 95040: Loss = 0.005474936217069626, lr = [0.0001] +[2024-05-21 13:29:55,273] - INFO: Epoch 951/9999, Iter 95060: Loss = 0.01277168933302164, lr = [0.0001] +[2024-05-21 13:30:09,724] - INFO: Epoch 951/9999, Iter 95080: Loss = 0.010559539310634136, lr = [0.0001] +[2024-05-21 13:30:25,473] - INFO: Epoch 952/9999, Iter 95100: Loss = 0.010550219565629959, lr = [0.0001] +[2024-05-21 13:30:39,860] - INFO: Epoch 952/9999, Iter 95120: Loss = 0.009432503953576088, lr = [0.0001] +[2024-05-21 13:30:54,352] - INFO: Epoch 952/9999, Iter 95140: Loss = 0.005772131495177746, lr = [0.0001] +[2024-05-21 13:31:08,800] - INFO: Epoch 952/9999, Iter 95160: Loss = 0.017736051231622696, lr = [0.0001] +[2024-05-21 13:31:23,359] - INFO: Epoch 952/9999, Iter 95180: Loss = 0.006107708904892206, lr = [0.0001] +[2024-05-21 13:31:39,213] - INFO: Epoch 953/9999, Iter 95200: Loss = 0.012582279741764069, lr = [0.0001] +[2024-05-21 13:31:53,876] - INFO: Epoch 953/9999, Iter 95220: Loss = 0.01308218389749527, lr = [0.0001] +[2024-05-21 13:32:08,510] - INFO: Epoch 953/9999, Iter 95240: Loss = 0.014138447120785713, lr = [0.0001] +[2024-05-21 13:32:23,238] - INFO: Epoch 953/9999, Iter 95260: Loss = 0.013517062179744244, lr = [0.0001] +[2024-05-21 13:32:37,939] - INFO: Epoch 953/9999, Iter 95280: Loss = 0.017730405554175377, lr = [0.0001] +[2024-05-21 13:32:53,972] - INFO: Epoch 954/9999, Iter 95300: Loss = 0.015595389530062675, lr = [0.0001] +[2024-05-21 13:33:08,704] - INFO: Epoch 954/9999, Iter 95320: Loss = 0.005815321579575539, lr = [0.0001] +[2024-05-21 13:33:23,377] - INFO: Epoch 954/9999, Iter 95340: Loss = 0.01770576648414135, lr = [0.0001] +[2024-05-21 13:33:38,003] - INFO: Epoch 954/9999, Iter 95360: Loss = 0.011638889089226723, lr = [0.0001] +[2024-05-21 13:33:52,665] - INFO: Epoch 954/9999, Iter 95380: Loss = 0.018348999321460724, lr = [0.0001] +[2024-05-21 13:34:08,407] - INFO: Epoch 955/9999, Iter 95400: Loss = 0.013166975229978561, lr = [0.0001] +[2024-05-21 13:34:23,058] - INFO: Epoch 955/9999, Iter 95420: Loss = 0.020418142899870872, lr = [0.0001] +[2024-05-21 13:34:37,775] - INFO: Epoch 955/9999, Iter 95440: Loss = 0.02608158439397812, lr = [0.0001] +[2024-05-21 13:34:52,508] - INFO: Epoch 955/9999, Iter 95460: Loss = 0.009898139163851738, lr = [0.0001] +[2024-05-21 13:35:07,226] - INFO: Epoch 955/9999, Iter 95480: Loss = 0.011377743445336819, lr = [0.0001] +[2024-05-21 13:35:21,656] - INFO: Evaluate at epoch 955! +[2024-05-21 13:35:26,561] - INFO: Eval PSNR (max): 37.984 (890) SSIM (max): 0.9607 (880) +[2024-05-21 13:35:26,561] - INFO: Eval PSNR (current): 37.804 (955) SSIM (current): 0.9605 (955) +[2024-05-21 13:35:26,561] - INFO: Evaluation over. +[2024-05-21 13:36:16,200] - INFO: Epoch 956/9999, Iter 95500: Loss = 0.008900403045117855, lr = [0.0001] +[2024-05-21 13:36:30,661] - INFO: Epoch 956/9999, Iter 95520: Loss = 0.010955678299069405, lr = [0.0001] +[2024-05-21 13:36:45,124] - INFO: Epoch 956/9999, Iter 95540: Loss = 0.011709113605320454, lr = [0.0001] +[2024-05-21 13:36:59,552] - INFO: Epoch 956/9999, Iter 95560: Loss = 0.01276211254298687, lr = [0.0001] +[2024-05-21 13:37:13,958] - INFO: Epoch 956/9999, Iter 95580: Loss = 0.009467060677707195, lr = [0.0001] +[2024-05-21 13:37:29,790] - INFO: Epoch 957/9999, Iter 95600: Loss = 0.014384269714355469, lr = [0.0001] +[2024-05-21 13:37:44,532] - INFO: Epoch 957/9999, Iter 95620: Loss = 0.016390882432460785, lr = [0.0001] +[2024-05-21 13:37:58,963] - INFO: Epoch 957/9999, Iter 95640: Loss = 0.013721555471420288, lr = [0.0001] +[2024-05-21 13:38:13,383] - INFO: Epoch 957/9999, Iter 95660: Loss = 0.022967470809817314, lr = [0.0001] +[2024-05-21 13:38:29,025] - INFO: Epoch 957/9999, Iter 95680: Loss = 0.015599197708070278, lr = [0.0001] +[2024-05-21 13:40:30,674] - INFO: Epoch 958/9999, Iter 95700: Loss = 0.011081181466579437, lr = [0.0001] +[2024-05-21 13:40:44,878] - INFO: Epoch 958/9999, Iter 95720: Loss = 0.015299828723073006, lr = [0.0001] +[2024-05-21 13:40:59,301] - INFO: Epoch 958/9999, Iter 95740: Loss = 0.01145657803863287, lr = [0.0001] +[2024-05-21 13:41:13,535] - INFO: Epoch 958/9999, Iter 95760: Loss = 0.009158197790384293, lr = [0.0001] +[2024-05-21 13:41:27,888] - INFO: Epoch 958/9999, Iter 95780: Loss = 0.011850476264953613, lr = [0.0001] +[2024-05-21 13:41:43,496] - INFO: Epoch 959/9999, Iter 95800: Loss = 0.022686654701828957, lr = [0.0001] +[2024-05-21 13:41:57,892] - INFO: Epoch 959/9999, Iter 95820: Loss = 0.013206169940531254, lr = [0.0001] +[2024-05-21 13:42:12,373] - INFO: Epoch 959/9999, Iter 95840: Loss = 0.014365666545927525, lr = [0.0001] +[2024-05-21 13:42:26,827] - INFO: Epoch 959/9999, Iter 95860: Loss = 0.011735559441149235, lr = [0.0001] +[2024-05-21 13:42:41,314] - INFO: Epoch 959/9999, Iter 95880: Loss = 0.007684074342250824, lr = [0.0001] +[2024-05-21 13:42:57,024] - INFO: Epoch 960/9999, Iter 95900: Loss = 0.016514059156179428, lr = [0.0001] +[2024-05-21 13:43:11,541] - INFO: Epoch 960/9999, Iter 95920: Loss = 0.015452486462891102, lr = [0.0001] +[2024-05-21 13:43:26,146] - INFO: Epoch 960/9999, Iter 95940: Loss = 0.0263407900929451, lr = [0.0001] +[2024-05-21 13:43:40,728] - INFO: Epoch 960/9999, Iter 95960: Loss = 0.007277493365108967, lr = [0.0001] +[2024-05-21 13:43:55,404] - INFO: Epoch 960/9999, Iter 95980: Loss = 0.020250938832759857, lr = [0.0001] +[2024-05-21 13:44:09,653] - INFO: Evaluate at epoch 960! +[2024-05-21 13:44:14,663] - INFO: Eval PSNR (max): 37.984 (890) SSIM (max): 0.9607 (880) +[2024-05-21 13:44:14,664] - INFO: Eval PSNR (current): 37.963 (960) SSIM (current): 0.9607 (960) +[2024-05-21 13:44:14,664] - INFO: Evaluation over. +[2024-05-21 13:45:03,908] - INFO: Epoch 961/9999, Iter 96000: Loss = 0.013233078643679619, lr = [0.0001] +[2024-05-21 13:45:18,436] - INFO: Epoch 961/9999, Iter 96020: Loss = 0.018526127561926842, lr = [0.0001] +[2024-05-21 13:45:32,804] - INFO: Epoch 961/9999, Iter 96040: Loss = 0.023623749613761902, lr = [0.0001] +[2024-05-21 13:45:47,223] - INFO: Epoch 961/9999, Iter 96060: Loss = 0.014923356473445892, lr = [0.0001] +[2024-05-21 13:46:01,664] - INFO: Epoch 961/9999, Iter 96080: Loss = 0.011928504332900047, lr = [0.0001] +[2024-05-21 13:46:17,440] - INFO: Epoch 962/9999, Iter 96100: Loss = 0.011457771994173527, lr = [0.0001] +[2024-05-21 13:46:31,936] - INFO: Epoch 962/9999, Iter 96120: Loss = 0.016486968845129013, lr = [0.0001] +[2024-05-21 13:46:46,439] - INFO: Epoch 962/9999, Iter 96140: Loss = 0.015487761236727238, lr = [0.0001] +[2024-05-21 13:47:00,928] - INFO: Epoch 962/9999, Iter 96160: Loss = 0.030457738786935806, lr = [0.0001] +[2024-05-21 13:47:15,526] - INFO: Epoch 962/9999, Iter 96180: Loss = 0.016277363523840904, lr = [0.0001] +[2024-05-21 13:47:31,351] - INFO: Epoch 963/9999, Iter 96200: Loss = 0.017590664327144623, lr = [0.0001] +[2024-05-21 13:47:46,000] - INFO: Epoch 963/9999, Iter 96220: Loss = 0.014242200180888176, lr = [0.0001] +[2024-05-21 13:48:00,644] - INFO: Epoch 963/9999, Iter 96240: Loss = 0.007564215920865536, lr = [0.0001] +[2024-05-21 13:48:15,332] - INFO: Epoch 963/9999, Iter 96260: Loss = 0.018760142847895622, lr = [0.0001] +[2024-05-21 13:48:30,006] - INFO: Epoch 963/9999, Iter 96280: Loss = 0.01593569666147232, lr = [0.0001] +[2024-05-21 13:48:46,033] - INFO: Epoch 964/9999, Iter 96300: Loss = 0.02547036111354828, lr = [0.0001] +[2024-05-21 13:49:00,807] - INFO: Epoch 964/9999, Iter 96320: Loss = 0.01617896929383278, lr = [0.0001] +[2024-05-21 13:49:15,563] - INFO: Epoch 964/9999, Iter 96340: Loss = 0.013336004689335823, lr = [0.0001] +[2024-05-21 13:49:30,277] - INFO: Epoch 964/9999, Iter 96360: Loss = 0.017596576362848282, lr = [0.0001] +[2024-05-21 13:49:45,032] - INFO: Epoch 964/9999, Iter 96380: Loss = 0.01981230080127716, lr = [0.0001] +[2024-05-21 13:50:01,024] - INFO: Epoch 965/9999, Iter 96400: Loss = 0.008704213425517082, lr = [0.0001] +[2024-05-21 13:50:15,988] - INFO: Epoch 965/9999, Iter 96420: Loss = 0.008777090348303318, lr = [0.0001] +[2024-05-21 13:50:30,727] - INFO: Epoch 965/9999, Iter 96440: Loss = 0.011670134961605072, lr = [0.0001] +[2024-05-21 13:50:45,484] - INFO: Epoch 965/9999, Iter 96460: Loss = 0.009964769706130028, lr = [0.0001] +[2024-05-21 13:51:00,263] - INFO: Epoch 965/9999, Iter 96480: Loss = 0.01795877516269684, lr = [0.0001] +[2024-05-21 13:54:22,787] - INFO: Evaluate at epoch 965! +[2024-05-21 13:54:27,676] - INFO: Eval PSNR (max): 37.984 (890) SSIM (max): 0.9607 (880) +[2024-05-21 13:54:27,676] - INFO: Eval PSNR (current): 37.982 (965) SSIM (current): 0.9607 (965) +[2024-05-21 13:54:27,676] - INFO: Evaluation over. +[2024-05-21 13:55:53,259] - INFO: Epoch 966/9999, Iter 96500: Loss = 0.021025273948907852, lr = [0.0001] +[2024-05-21 13:57:11,844] - INFO: Epoch 966/9999, Iter 96520: Loss = 0.009178574196994305, lr = [0.0001] +[2024-05-21 13:57:44,751] - INFO: Epoch 966/9999, Iter 96540: Loss = 0.009236730635166168, lr = [0.0001] +[2024-05-21 13:57:59,984] - INFO: Epoch 966/9999, Iter 96560: Loss = 0.01821504719555378, lr = [0.0001] +[2024-05-21 13:58:14,294] - INFO: Epoch 966/9999, Iter 96580: Loss = 0.01068649161607027, lr = [0.0001] +[2024-05-21 13:59:11,820] - INFO: Epoch 967/9999, Iter 96600: Loss = 0.014096342958509922, lr = [0.0001] +[2024-05-21 14:01:44,326] - INFO: Epoch 967/9999, Iter 96620: Loss = 0.007113379426300526, lr = [0.0001] +[2024-05-21 14:01:58,528] - INFO: Epoch 967/9999, Iter 96640: Loss = 0.01009983941912651, lr = [0.0001] +[2024-05-21 14:02:12,774] - INFO: Epoch 967/9999, Iter 96660: Loss = 0.010884902440011501, lr = [0.0001] +[2024-05-21 14:02:27,039] - INFO: Epoch 967/9999, Iter 96680: Loss = 0.009459410794079304, lr = [0.0001] +[2024-05-21 14:02:42,560] - INFO: Epoch 968/9999, Iter 96700: Loss = 0.012635194696485996, lr = [0.0001] +[2024-05-21 14:02:56,898] - INFO: Epoch 968/9999, Iter 96720: Loss = 0.017229342833161354, lr = [0.0001] +[2024-05-21 14:03:11,183] - INFO: Epoch 968/9999, Iter 96740: Loss = 0.00861796922981739, lr = [0.0001] +[2024-05-21 14:03:25,495] - INFO: Epoch 968/9999, Iter 96760: Loss = 0.0072440095245838165, lr = [0.0001] +[2024-05-21 14:03:44,340] - INFO: Epoch 968/9999, Iter 96780: Loss = 0.024410326033830643, lr = [0.0001] +[2024-05-21 14:04:15,209] - INFO: Epoch 969/9999, Iter 96800: Loss = 0.009617078118026257, lr = [0.0001] +[2024-05-21 14:04:36,402] - INFO: Epoch 969/9999, Iter 96820: Loss = 0.017421148717403412, lr = [0.0001] +[2024-05-21 14:04:59,656] - INFO: Epoch 969/9999, Iter 96840: Loss = 0.012692701071500778, lr = [0.0001] +[2024-05-21 14:05:24,462] - INFO: Epoch 969/9999, Iter 96860: Loss = 0.014518526382744312, lr = [0.0001] +[2024-05-21 14:05:48,935] - INFO: Epoch 969/9999, Iter 96880: Loss = 0.009230208583176136, lr = [0.0001] +[2024-05-21 14:06:20,542] - INFO: Epoch 970/9999, Iter 96900: Loss = 0.014238010160624981, lr = [0.0001] +[2024-05-21 14:06:41,013] - INFO: Epoch 970/9999, Iter 96920: Loss = 0.01385390106588602, lr = [0.0001] +[2024-05-21 14:07:04,194] - INFO: Epoch 970/9999, Iter 96940: Loss = 0.013092546723783016, lr = [0.0001] +[2024-05-21 14:07:29,899] - INFO: Epoch 970/9999, Iter 96960: Loss = 0.021170221269130707, lr = [0.0001] +[2024-05-21 14:07:54,765] - INFO: Epoch 970/9999, Iter 96980: Loss = 0.007316106930375099, lr = [0.0001] +[2024-05-21 14:08:19,293] - INFO: Evaluate at epoch 970! +[2024-05-21 14:08:30,830] - INFO: Eval PSNR (max): 37.984 (890) SSIM (max): 0.9607 (880) +[2024-05-21 14:08:30,830] - INFO: Eval PSNR (current): 37.815 (970) SSIM (current): 0.9607 (970) +[2024-05-21 14:08:30,830] - INFO: Evaluation over. +[2024-05-21 14:11:49,810] - INFO: Epoch 971/9999, Iter 97000: Loss = 0.011897765100002289, lr = [0.0001] +[2024-05-21 14:12:15,319] - INFO: Epoch 971/9999, Iter 97020: Loss = 0.018692325800657272, lr = [0.0001] +[2024-05-21 14:12:36,489] - INFO: Epoch 971/9999, Iter 97040: Loss = 0.009687995538115501, lr = [0.0001] +[2024-05-21 14:12:50,772] - INFO: Epoch 971/9999, Iter 97060: Loss = 0.014913676306605339, lr = [0.0001] +[2024-05-21 14:13:05,068] - INFO: Epoch 971/9999, Iter 97080: Loss = 0.014133438467979431, lr = [0.0001] +[2024-05-21 14:13:47,248] - INFO: Epoch 972/9999, Iter 97100: Loss = 0.021483058109879494, lr = [0.0001] +[2024-05-21 14:14:01,595] - INFO: Epoch 972/9999, Iter 97120: Loss = 0.01591532863676548, lr = [0.0001] +[2024-05-21 14:14:20,900] - INFO: Epoch 972/9999, Iter 97140: Loss = 0.017550889402627945, lr = [0.0001] +[2024-05-21 14:14:46,384] - INFO: Epoch 972/9999, Iter 97160: Loss = 0.015384544618427753, lr = [0.0001] +[2024-05-21 14:15:11,415] - INFO: Epoch 972/9999, Iter 97180: Loss = 0.010401732288300991, lr = [0.0001] +[2024-05-21 14:15:44,045] - INFO: Epoch 973/9999, Iter 97200: Loss = 0.013494079001247883, lr = [0.0001] +[2024-05-21 14:16:06,682] - INFO: Epoch 973/9999, Iter 97220: Loss = 0.017569923773407936, lr = [0.0001] +[2024-05-21 14:16:30,956] - INFO: Epoch 973/9999, Iter 97240: Loss = 0.007957501336932182, lr = [0.0001] +[2024-05-21 14:16:56,311] - INFO: Epoch 973/9999, Iter 97260: Loss = 0.009850256145000458, lr = [0.0001] +[2024-05-21 14:17:18,746] - INFO: Epoch 973/9999, Iter 97280: Loss = 0.012774452567100525, lr = [0.0001] +[2024-05-21 14:17:51,668] - INFO: Epoch 974/9999, Iter 97300: Loss = 0.01069018617272377, lr = [0.0001] +[2024-05-21 14:18:12,975] - INFO: Epoch 974/9999, Iter 97320: Loss = 0.014229887165129185, lr = [0.0001] +[2024-05-21 14:18:35,678] - INFO: Epoch 974/9999, Iter 97340: Loss = 0.015593253076076508, lr = [0.0001] +[2024-05-21 14:19:00,158] - INFO: Epoch 974/9999, Iter 97360: Loss = 0.010260925628244877, lr = [0.0001] +[2024-05-21 14:19:24,758] - INFO: Epoch 974/9999, Iter 97380: Loss = 0.013118339702486992, lr = [0.0001] +[2024-05-21 14:19:56,264] - INFO: Epoch 975/9999, Iter 97400: Loss = 0.02340773306787014, lr = [0.0001] +[2024-05-21 14:20:18,481] - INFO: Epoch 975/9999, Iter 97420: Loss = 0.0144957872107625, lr = [0.0001] +[2024-05-21 14:20:38,917] - INFO: Epoch 975/9999, Iter 97440: Loss = 0.02334817498922348, lr = [0.0001] +[2024-05-21 14:20:53,450] - INFO: Epoch 975/9999, Iter 97460: Loss = 0.01630009338259697, lr = [0.0001] +[2024-05-21 14:21:07,852] - INFO: Epoch 975/9999, Iter 97480: Loss = 0.013182258233428001, lr = [0.0001] +[2024-05-21 14:21:21,937] - INFO: Evaluate at epoch 975! +[2024-05-21 14:21:26,943] - INFO: Eval PSNR (max): 37.984 (890) SSIM (max): 0.9607 (880) +[2024-05-21 14:21:26,943] - INFO: Eval PSNR (current): 37.924 (975) SSIM (current): 0.9607 (975) +[2024-05-21 14:21:26,943] - INFO: Evaluation over. +[2024-05-21 14:22:30,812] - INFO: Epoch 976/9999, Iter 97500: Loss = 0.02055439166724682, lr = [0.0001] +[2024-05-21 14:22:56,270] - INFO: Epoch 976/9999, Iter 97520: Loss = 0.008491339161992073, lr = [0.0001] +[2024-05-21 14:23:20,899] - INFO: Epoch 976/9999, Iter 97540: Loss = 0.015766553580760956, lr = [0.0001] +[2024-05-21 14:23:46,425] - INFO: Epoch 976/9999, Iter 97560: Loss = 0.010550746694207191, lr = [0.0001] +[2024-05-21 14:24:11,570] - INFO: Epoch 976/9999, Iter 97580: Loss = 0.019079644232988358, lr = [0.0001] +[2024-05-21 14:24:44,148] - INFO: Epoch 977/9999, Iter 97600: Loss = 0.012428410351276398, lr = [0.0001] +[2024-05-21 14:25:07,322] - INFO: Epoch 977/9999, Iter 97620: Loss = 0.013938862830400467, lr = [0.0001] +[2024-05-21 14:25:30,207] - INFO: Epoch 977/9999, Iter 97640: Loss = 0.017731722444295883, lr = [0.0001] +[2024-05-21 14:25:55,211] - INFO: Epoch 977/9999, Iter 97660: Loss = 0.029553426429629326, lr = [0.0001] +[2024-05-21 14:26:19,870] - INFO: Epoch 977/9999, Iter 97680: Loss = 0.01692250557243824, lr = [0.0001] +[2024-05-21 14:26:51,885] - INFO: Epoch 978/9999, Iter 97700: Loss = 0.01158022228628397, lr = [0.0001] +[2024-05-21 14:27:13,663] - INFO: Epoch 978/9999, Iter 97720: Loss = 0.006296013481914997, lr = [0.0001] +[2024-05-21 14:27:37,927] - INFO: Epoch 978/9999, Iter 97740: Loss = 0.01416163332760334, lr = [0.0001] +[2024-05-21 14:28:02,453] - INFO: Epoch 978/9999, Iter 97760: Loss = 0.010893161408603191, lr = [0.0001] +[2024-05-21 14:28:28,770] - INFO: Epoch 978/9999, Iter 97780: Loss = 0.016319002956151962, lr = [0.0001] +[2024-05-21 14:30:47,328] - INFO: Epoch 979/9999, Iter 97800: Loss = 0.016390319913625717, lr = [0.0001] +[2024-05-21 14:31:01,587] - INFO: Epoch 979/9999, Iter 97820: Loss = 0.0190199576318264, lr = [0.0001] +[2024-05-21 14:31:15,896] - INFO: Epoch 979/9999, Iter 97840: Loss = 0.004802667535841465, lr = [0.0001] +[2024-05-21 14:31:30,260] - INFO: Epoch 979/9999, Iter 97860: Loss = 0.012981169857084751, lr = [0.0001] +[2024-05-21 14:31:44,608] - INFO: Epoch 979/9999, Iter 97880: Loss = 0.008791029453277588, lr = [0.0001] +[2024-05-21 14:32:09,279] - INFO: Epoch 980/9999, Iter 97900: Loss = 0.009430007077753544, lr = [0.0001] +[2024-05-21 14:32:33,840] - INFO: Epoch 980/9999, Iter 97920: Loss = 0.018166502937674522, lr = [0.0001] +[2024-05-21 14:33:00,444] - INFO: Epoch 980/9999, Iter 97940: Loss = 0.008965585380792618, lr = [0.0001] +[2024-05-21 14:33:27,574] - INFO: Epoch 980/9999, Iter 97960: Loss = 0.015723371878266335, lr = [0.0001] +[2024-05-21 14:36:57,551] - INFO: Epoch 980/9999, Iter 97980: Loss = 0.017471328377723694, lr = [0.0001] +[2024-05-21 14:37:20,719] - INFO: Evaluate at epoch 980! +[2024-05-21 14:37:31,699] - INFO: Eval PSNR (max): 37.984 (890) SSIM (max): 0.9607 (880) +[2024-05-21 14:37:31,700] - INFO: Eval PSNR (current): 37.945 (980) SSIM (current): 0.9606 (980) +[2024-05-21 14:37:31,700] - INFO: Evaluation over. +[2024-05-21 14:39:03,559] - INFO: Epoch 981/9999, Iter 98000: Loss = 0.012012111023068428, lr = [0.0001] +[2024-05-21 14:39:27,158] - INFO: Epoch 981/9999, Iter 98020: Loss = 0.010643321089446545, lr = [0.0001] +[2024-05-21 14:39:51,091] - INFO: Epoch 981/9999, Iter 98040: Loss = 0.018185583874583244, lr = [0.0001] +[2024-05-21 14:40:16,069] - INFO: Epoch 981/9999, Iter 98060: Loss = 0.014371893368661404, lr = [0.0001] +[2024-05-21 14:40:40,053] - INFO: Epoch 981/9999, Iter 98080: Loss = 0.018480423837900162, lr = [0.0001] +[2024-05-21 14:41:10,859] - INFO: Epoch 982/9999, Iter 98100: Loss = 0.011313996277749538, lr = [0.0001] +[2024-05-21 14:41:32,783] - INFO: Epoch 982/9999, Iter 98120: Loss = 0.0154366260394454, lr = [0.0001] +[2024-05-21 14:41:52,524] - INFO: Epoch 982/9999, Iter 98140: Loss = 0.008069177158176899, lr = [0.0001] +[2024-05-21 14:42:06,952] - INFO: Epoch 982/9999, Iter 98160: Loss = 0.01341391634196043, lr = [0.0001] +[2024-05-21 14:42:21,349] - INFO: Epoch 982/9999, Iter 98180: Loss = 0.011944365687668324, lr = [0.0001] +[2024-05-21 14:42:37,149] - INFO: Epoch 983/9999, Iter 98200: Loss = 0.008913842961192131, lr = [0.0001] +[2024-05-21 14:42:51,543] - INFO: Epoch 983/9999, Iter 98220: Loss = 0.011812259443104267, lr = [0.0001] +[2024-05-21 14:43:12,780] - INFO: Epoch 983/9999, Iter 98240: Loss = 0.014320753514766693, lr = [0.0001] +[2024-05-21 14:43:39,574] - INFO: Epoch 983/9999, Iter 98260: Loss = 0.008183117024600506, lr = [0.0001] +[2024-05-21 14:44:09,667] - INFO: Epoch 983/9999, Iter 98280: Loss = 0.007087973412126303, lr = [0.0001] +[2024-05-21 14:44:45,205] - INFO: Epoch 984/9999, Iter 98300: Loss = 0.009120281785726547, lr = [0.0001] +[2024-05-21 14:45:10,824] - INFO: Epoch 984/9999, Iter 98320: Loss = 0.018199553713202477, lr = [0.0001] +[2024-05-21 14:45:36,242] - INFO: Epoch 984/9999, Iter 98340: Loss = 0.013485044240951538, lr = [0.0001] +[2024-05-21 14:46:05,501] - INFO: Epoch 984/9999, Iter 98360: Loss = 0.019791647791862488, lr = [0.0001] +[2024-05-21 14:50:11,348] - INFO: Epoch 984/9999, Iter 98380: Loss = 0.01805676892399788, lr = [0.0001] +[2024-05-21 14:50:45,430] - INFO: Epoch 985/9999, Iter 98400: Loss = 0.013618743047118187, lr = [0.0001] +[2024-05-21 14:51:06,663] - INFO: Epoch 985/9999, Iter 98420: Loss = 0.014047110453248024, lr = [0.0001] +[2024-05-21 14:51:29,393] - INFO: Epoch 985/9999, Iter 98440: Loss = 0.010686421766877174, lr = [0.0001] +[2024-05-21 14:51:52,932] - INFO: Epoch 985/9999, Iter 98460: Loss = 0.010623435489833355, lr = [0.0001] +[2024-05-21 14:52:17,546] - INFO: Epoch 985/9999, Iter 98480: Loss = 0.015991665422916412, lr = [0.0001] +[2024-05-21 14:52:42,000] - INFO: Evaluate at epoch 985! +[2024-05-21 14:52:53,035] - INFO: Eval PSNR (max): 37.984 (890) SSIM (max): 0.9607 (880) +[2024-05-21 14:52:53,035] - INFO: Eval PSNR (current): 37.893 (985) SSIM (current): 0.9606 (985) +[2024-05-21 14:52:53,035] - INFO: Evaluation over. +[2024-05-21 14:53:39,980] - INFO: Epoch 986/9999, Iter 98500: Loss = 0.010484907776117325, lr = [0.0001] +[2024-05-21 14:53:54,248] - INFO: Epoch 986/9999, Iter 98520: Loss = 0.023182498291134834, lr = [0.0001] +[2024-05-21 14:54:08,579] - INFO: Epoch 986/9999, Iter 98540: Loss = 0.019261322915554047, lr = [0.0001] +[2024-05-21 14:54:22,913] - INFO: Epoch 986/9999, Iter 98560: Loss = 0.009924529120326042, lr = [0.0001] +[2024-05-21 14:54:45,671] - INFO: Epoch 986/9999, Iter 98580: Loss = 0.010933560319244862, lr = [0.0001] +[2024-05-21 14:55:17,609] - INFO: Epoch 987/9999, Iter 98600: Loss = 0.007612096145749092, lr = [0.0001] +[2024-05-21 14:55:41,352] - INFO: Epoch 987/9999, Iter 98620: Loss = 0.02475122921168804, lr = [0.0001] +[2024-05-21 14:56:06,500] - INFO: Epoch 987/9999, Iter 98640: Loss = 0.019216198474168777, lr = [0.0001] +[2024-05-21 14:56:32,385] - INFO: Epoch 987/9999, Iter 98660: Loss = 0.015054029412567616, lr = [0.0001] +[2024-05-21 14:56:58,790] - INFO: Epoch 987/9999, Iter 98680: Loss = 0.01065443642437458, lr = [0.0001] +[2024-05-21 14:57:29,636] - INFO: Epoch 988/9999, Iter 98700: Loss = 0.007899485528469086, lr = [0.0001] +[2024-05-21 14:57:53,997] - INFO: Epoch 988/9999, Iter 98720: Loss = 0.01458024326711893, lr = [0.0001] +[2024-05-21 14:58:18,845] - INFO: Epoch 988/9999, Iter 98740: Loss = 0.010733663104474545, lr = [0.0001] +[2024-05-21 14:58:45,729] - INFO: Epoch 988/9999, Iter 98760: Loss = 0.012829625979065895, lr = [0.0001] +[2024-05-21 14:59:11,095] - INFO: Epoch 988/9999, Iter 98780: Loss = 0.011264615692198277, lr = [0.0001] +[2024-05-21 14:59:43,385] - INFO: Epoch 989/9999, Iter 98800: Loss = 0.014387612231075764, lr = [0.0001] +[2024-05-21 15:00:07,314] - INFO: Epoch 989/9999, Iter 98820: Loss = 0.01178946252912283, lr = [0.0001] +[2024-05-21 15:00:32,457] - INFO: Epoch 989/9999, Iter 98840: Loss = 0.012023656629025936, lr = [0.0001] +[2024-05-21 15:00:48,062] - INFO: Epoch 989/9999, Iter 98860: Loss = 0.008494025096297264, lr = [0.0001] +[2024-05-21 15:01:02,632] - INFO: Epoch 989/9999, Iter 98880: Loss = 0.011005504056811333, lr = [0.0001] +[2024-05-21 15:01:18,555] - INFO: Epoch 990/9999, Iter 98900: Loss = 0.012550781480967999, lr = [0.0001] +[2024-05-21 15:01:33,062] - INFO: Epoch 990/9999, Iter 98920: Loss = 0.01063219178467989, lr = [0.0001] +[2024-05-21 15:01:49,358] - INFO: Epoch 990/9999, Iter 98940: Loss = 0.01823585480451584, lr = [0.0001] +[2024-05-21 15:02:12,797] - INFO: Epoch 990/9999, Iter 98960: Loss = 0.009771006181836128, lr = [0.0001] +[2024-05-21 15:02:38,874] - INFO: Epoch 990/9999, Iter 98980: Loss = 0.008825552649796009, lr = [0.0001] +[2024-05-21 15:03:05,073] - INFO: Evaluate at epoch 990! +[2024-05-21 15:03:16,769] - INFO: Eval PSNR (max): 37.984 (890) SSIM (max): 0.9607 (880) +[2024-05-21 15:03:16,769] - INFO: Eval PSNR (current): 37.903 (990) SSIM (current): 0.9607 (990) +[2024-05-21 15:03:16,769] - INFO: Evaluation over. +[2024-05-21 15:04:52,317] - INFO: Epoch 991/9999, Iter 99000: Loss = 0.013693045824766159, lr = [0.0001] +[2024-05-21 15:05:16,009] - INFO: Epoch 991/9999, Iter 99020: Loss = 0.014477025717496872, lr = [0.0001] +[2024-05-21 15:05:42,354] - INFO: Epoch 991/9999, Iter 99040: Loss = 0.016033688560128212, lr = [0.0001] +[2024-05-21 15:06:09,600] - INFO: Epoch 991/9999, Iter 99060: Loss = 0.011557384394109249, lr = [0.0001] +[2024-05-21 15:06:35,245] - INFO: Epoch 991/9999, Iter 99080: Loss = 0.018855102360248566, lr = [0.0001] +[2024-05-21 15:07:07,954] - INFO: Epoch 992/9999, Iter 99100: Loss = 0.011674118228256702, lr = [0.0001] +[2024-05-21 15:07:31,014] - INFO: Epoch 992/9999, Iter 99120: Loss = 0.011290720663964748, lr = [0.0001] +[2024-05-21 15:07:56,682] - INFO: Epoch 992/9999, Iter 99140: Loss = 0.015084999613463879, lr = [0.0001] +[2024-05-21 15:08:22,949] - INFO: Epoch 992/9999, Iter 99160: Loss = 0.014424529857933521, lr = [0.0001] +[2024-05-21 15:08:42,680] - INFO: Epoch 992/9999, Iter 99180: Loss = 0.02132793702185154, lr = [0.0001] +[2024-05-21 15:08:58,446] - INFO: Epoch 993/9999, Iter 99200: Loss = 0.008141604252159595, lr = [0.0001] +[2024-05-21 15:09:12,980] - INFO: Epoch 993/9999, Iter 99220: Loss = 0.009971858933568, lr = [0.0001] +[2024-05-21 15:09:27,446] - INFO: Epoch 993/9999, Iter 99240: Loss = 0.009853718802332878, lr = [0.0001] +[2024-05-21 15:09:41,860] - INFO: Epoch 993/9999, Iter 99260: Loss = 0.02240891195833683, lr = [0.0001] +[2024-05-21 15:10:06,140] - INFO: Epoch 993/9999, Iter 99280: Loss = 0.008493726141750813, lr = [0.0001] +[2024-05-21 15:11:05,031] - INFO: Epoch 994/9999, Iter 99300: Loss = 0.007560255471616983, lr = [0.0001] +[2024-05-21 15:11:30,744] - INFO: Epoch 994/9999, Iter 99320: Loss = 0.021616054698824883, lr = [0.0001] +[2024-05-21 15:11:57,301] - INFO: Epoch 994/9999, Iter 99340: Loss = 0.014352928847074509, lr = [0.0001] +[2024-05-21 15:12:22,596] - INFO: Epoch 994/9999, Iter 99360: Loss = 0.014058013446629047, lr = [0.0001] +[2024-05-21 15:13:19,781] - INFO: Epoch 994/9999, Iter 99380: Loss = 0.00923474133014679, lr = [0.0001] +[2024-05-21 15:13:53,535] - INFO: Epoch 995/9999, Iter 99400: Loss = 0.0139724500477314, lr = [0.0001] +[2024-05-21 15:14:19,709] - INFO: Epoch 995/9999, Iter 99420: Loss = 0.01245898101478815, lr = [0.0001] +[2024-05-21 15:14:45,589] - INFO: Epoch 995/9999, Iter 99440: Loss = 0.014115618541836739, lr = [0.0001] +[2024-05-21 15:15:11,985] - INFO: Epoch 995/9999, Iter 99460: Loss = 0.01119255181401968, lr = [0.0001] +[2024-05-21 15:15:39,292] - INFO: Epoch 995/9999, Iter 99480: Loss = 0.014614944346249104, lr = [0.0001] +[2024-05-21 15:16:03,934] - INFO: Evaluate at epoch 995! +[2024-05-21 15:16:37,185] - INFO: Eval PSNR (max): 37.984 (890) SSIM (max): 0.9607 (880) +[2024-05-21 15:16:37,186] - INFO: Eval PSNR (current): 37.736 (995) SSIM (current): 0.9603 (995) +[2024-05-21 15:16:37,186] - INFO: Evaluation over. +[2024-05-21 15:17:53,800] - INFO: Epoch 996/9999, Iter 99500: Loss = 0.017981912940740585, lr = [0.0001] +[2024-05-21 15:18:08,021] - INFO: Epoch 996/9999, Iter 99520: Loss = 0.008339415304362774, lr = [0.0001] +[2024-05-21 15:18:22,358] - INFO: Epoch 996/9999, Iter 99540: Loss = 0.014162465929985046, lr = [0.0001] +[2024-05-21 15:18:36,632] - INFO: Epoch 996/9999, Iter 99560: Loss = 0.012102067470550537, lr = [0.0001] +[2024-05-21 15:18:50,996] - INFO: Epoch 996/9999, Iter 99580: Loss = 0.015235436148941517, lr = [0.0001] +[2024-05-21 15:19:17,162] - INFO: Epoch 997/9999, Iter 99600: Loss = 0.007163164671510458, lr = [0.0001] +[2024-05-21 15:19:41,250] - INFO: Epoch 997/9999, Iter 99620: Loss = 0.012251652777194977, lr = [0.0001] +[2024-05-21 15:20:06,723] - INFO: Epoch 997/9999, Iter 99640: Loss = 0.007147857453674078, lr = [0.0001] +[2024-05-21 15:20:32,560] - INFO: Epoch 997/9999, Iter 99660: Loss = 0.017713040113449097, lr = [0.0001] +[2024-05-21 15:21:01,071] - INFO: Epoch 997/9999, Iter 99680: Loss = 0.009072805754840374, lr = [0.0001] +[2024-05-21 15:21:33,841] - INFO: Epoch 998/9999, Iter 99700: Loss = 0.014847220852971077, lr = [0.0001] +[2024-05-21 15:21:57,766] - INFO: Epoch 998/9999, Iter 99720: Loss = 0.014378190971910954, lr = [0.0001] +[2024-05-21 15:22:25,120] - INFO: Epoch 998/9999, Iter 99740: Loss = 0.010557335801422596, lr = [0.0001] +[2024-05-21 15:22:50,717] - INFO: Epoch 998/9999, Iter 99760: Loss = 0.014536689966917038, lr = [0.0001] +[2024-05-21 15:23:17,271] - INFO: Epoch 998/9999, Iter 99780: Loss = 0.013386737555265427, lr = [0.0001] +[2024-05-21 15:23:49,732] - INFO: Epoch 999/9999, Iter 99800: Loss = 0.010297947563230991, lr = [0.0001] +[2024-05-21 15:24:14,777] - INFO: Epoch 999/9999, Iter 99820: Loss = 0.0079882200807333, lr = [0.0001] +[2024-05-21 15:25:07,254] - INFO: Epoch 999/9999, Iter 99840: Loss = 0.010829281061887741, lr = [0.0001] +[2024-05-21 15:25:33,308] - INFO: Epoch 999/9999, Iter 99860: Loss = 0.022184373810887337, lr = [0.0001] +[2024-05-21 15:25:47,900] - INFO: Epoch 999/9999, Iter 99880: Loss = 0.017731551080942154, lr = [0.0001] +[2024-05-21 15:26:03,587] - INFO: Epoch 1000/9999, Iter 99900: Loss = 0.006967815104871988, lr = [0.0001] +[2024-05-21 15:26:17,967] - INFO: Epoch 1000/9999, Iter 99920: Loss = 0.01931958831846714, lr = [0.0001] +[2024-05-21 15:26:32,320] - INFO: Epoch 1000/9999, Iter 99940: Loss = 0.015150350518524647, lr = [0.0001] +[2024-05-21 15:26:47,942] - INFO: Epoch 1000/9999, Iter 99960: Loss = 0.012715229764580727, lr = [0.0001] +[2024-05-21 15:27:16,213] - INFO: Epoch 1000/9999, Iter 99980: Loss = 0.017366919666528702, lr = [0.0001] +[2024-05-21 15:27:41,254] - INFO: Evaluate at epoch 1000! +[2024-05-21 15:27:53,914] - INFO: Eval PSNR (max): 37.984 (890) SSIM (max): 0.9607 (880) +[2024-05-21 15:27:53,914] - INFO: Eval PSNR (current): 37.731 (1000) SSIM (current): 0.9604 (1000) +[2024-05-21 15:27:53,915] - INFO: Evaluation over. +[2024-05-21 15:29:31,068] - INFO: Epoch 1001/9999, Iter 100000: Loss = 0.010818946175277233, lr = [5e-05] +[2024-05-21 15:29:57,429] - INFO: Epoch 1001/9999, Iter 100020: Loss = 0.014158275909721851, lr = [5e-05] +[2024-05-21 15:30:21,455] - INFO: Epoch 1001/9999, Iter 100040: Loss = 0.018972918391227722, lr = [5e-05] +[2024-05-21 15:30:48,188] - INFO: Epoch 1001/9999, Iter 100060: Loss = 0.010940099135041237, lr = [5e-05] +[2024-05-21 15:31:14,272] - INFO: Epoch 1001/9999, Iter 100080: Loss = 0.016758248209953308, lr = [5e-05] +[2024-05-21 15:31:47,834] - INFO: Epoch 1002/9999, Iter 100100: Loss = 0.005637189373373985, lr = [5e-05] +[2024-05-21 15:32:11,341] - INFO: Epoch 1002/9999, Iter 100120: Loss = 0.017570946365594864, lr = [5e-05] +[2024-05-21 15:32:37,417] - INFO: Epoch 1002/9999, Iter 100140: Loss = 0.01363527774810791, lr = [5e-05] +[2024-05-21 15:33:04,535] - INFO: Epoch 1002/9999, Iter 100160: Loss = 0.011731726117432117, lr = [5e-05] +[2024-05-21 15:33:31,905] - INFO: Epoch 1002/9999, Iter 100180: Loss = 0.01360948197543621, lr = [5e-05] +[2024-05-21 15:33:48,243] - INFO: Epoch 1003/9999, Iter 100200: Loss = 0.01637372374534607, lr = [5e-05] +[2024-05-21 15:34:02,777] - INFO: Epoch 1003/9999, Iter 100220: Loss = 0.011145994998514652, lr = [5e-05] +[2024-05-21 15:34:17,263] - INFO: Epoch 1003/9999, Iter 100240: Loss = 0.011193332262337208, lr = [5e-05] +[2024-05-21 15:34:31,738] - INFO: Epoch 1003/9999, Iter 100260: Loss = 0.007263056933879852, lr = [5e-05] +[2024-05-21 15:34:49,222] - INFO: Epoch 1003/9999, Iter 100280: Loss = 0.01471448503434658, lr = [5e-05] +[2024-05-21 15:35:23,396] - INFO: Epoch 1004/9999, Iter 100300: Loss = 0.01099691167473793, lr = [5e-05] +[2024-05-21 15:35:48,581] - INFO: Epoch 1004/9999, Iter 100320: Loss = 0.012298484332859516, lr = [5e-05] +[2024-05-21 15:36:14,434] - INFO: Epoch 1004/9999, Iter 100340: Loss = 0.021231530234217644, lr = [5e-05] +[2024-05-21 15:36:42,493] - INFO: Epoch 1004/9999, Iter 100360: Loss = 0.024021092802286148, lr = [5e-05] +[2024-05-21 15:37:08,779] - INFO: Epoch 1004/9999, Iter 100380: Loss = 0.010288885794579983, lr = [5e-05] +[2024-05-21 15:37:40,776] - INFO: Epoch 1005/9999, Iter 100400: Loss = 0.01747222989797592, lr = [5e-05] +[2024-05-21 15:38:05,679] - INFO: Epoch 1005/9999, Iter 100420: Loss = 0.009568500332534313, lr = [5e-05] +[2024-05-21 15:38:31,665] - INFO: Epoch 1005/9999, Iter 100440: Loss = 0.006200393196195364, lr = [5e-05] +[2024-05-21 15:38:58,717] - INFO: Epoch 1005/9999, Iter 100460: Loss = 0.012094772420823574, lr = [5e-05] +[2024-05-21 15:39:25,515] - INFO: Epoch 1005/9999, Iter 100480: Loss = 0.014256998896598816, lr = [5e-05] +[2024-05-21 15:39:50,378] - INFO: Evaluate at epoch 1005! +[2024-05-21 15:42:16,344] - INFO: Eval PSNR (max): 37.992 (1005) SSIM (max): 0.9609 (1005) +[2024-05-21 15:42:16,345] - INFO: Eval PSNR (current): 37.992 (1005) SSIM (current): 0.9609 (1005) +[2024-05-21 15:42:16,346] - INFO: Evaluation over. +[2024-05-21 15:43:02,086] - INFO: Epoch 1006/9999, Iter 100500: Loss = 0.011842388659715652, lr = [5e-05] +[2024-05-21 15:43:16,334] - INFO: Epoch 1006/9999, Iter 100520: Loss = 0.016765525564551353, lr = [5e-05] +[2024-05-21 15:43:30,603] - INFO: Epoch 1006/9999, Iter 100540: Loss = 0.0135350925847888, lr = [5e-05] +[2024-05-21 15:43:44,863] - INFO: Epoch 1006/9999, Iter 100560: Loss = 0.012768327258527279, lr = [5e-05] +[2024-05-21 15:44:06,111] - INFO: Epoch 1006/9999, Iter 100580: Loss = 0.01284507941454649, lr = [5e-05] +[2024-05-21 15:45:20,713] - INFO: Epoch 1007/9999, Iter 100600: Loss = 0.011760321445763111, lr = [5e-05] +[2024-05-21 15:45:46,453] - INFO: Epoch 1007/9999, Iter 100620: Loss = 0.01354442723095417, lr = [5e-05] +[2024-05-21 15:46:12,441] - INFO: Epoch 1007/9999, Iter 100640: Loss = 0.006553893908858299, lr = [5e-05] +[2024-05-21 15:46:39,978] - INFO: Epoch 1007/9999, Iter 100660: Loss = 0.012083560228347778, lr = [5e-05] +[2024-05-21 15:47:06,152] - INFO: Epoch 1007/9999, Iter 100680: Loss = 0.007800694555044174, lr = [5e-05] +[2024-05-21 15:47:46,279] - INFO: Epoch 1008/9999, Iter 100700: Loss = 0.016441097483038902, lr = [5e-05] +[2024-05-21 15:48:12,446] - INFO: Epoch 1008/9999, Iter 100720: Loss = 0.013694055378437042, lr = [5e-05] +[2024-05-21 15:48:38,150] - INFO: Epoch 1008/9999, Iter 100740: Loss = 0.008433657698333263, lr = [5e-05] +[2024-05-21 15:49:05,551] - INFO: Epoch 1008/9999, Iter 100760: Loss = 0.012363873422145844, lr = [5e-05] +[2024-05-21 15:49:31,410] - INFO: Epoch 1008/9999, Iter 100780: Loss = 0.010136939585208893, lr = [5e-05] +[2024-05-21 15:50:06,465] - INFO: Epoch 1009/9999, Iter 100800: Loss = 0.018541600555181503, lr = [5e-05] +[2024-05-21 15:50:31,228] - INFO: Epoch 1009/9999, Iter 100820: Loss = 0.015405861660838127, lr = [5e-05] +[2024-05-21 15:50:53,515] - INFO: Epoch 1009/9999, Iter 100840: Loss = 0.014146295376121998, lr = [5e-05] +[2024-05-21 15:51:07,956] - INFO: Epoch 1009/9999, Iter 100860: Loss = 0.023845398798584938, lr = [5e-05] +[2024-05-21 15:51:22,507] - INFO: Epoch 1009/9999, Iter 100880: Loss = 0.01781795173883438, lr = [5e-05] +[2024-05-21 15:51:38,573] - INFO: Epoch 1010/9999, Iter 100900: Loss = 0.009513424709439278, lr = [5e-05] +[2024-05-21 15:51:53,024] - INFO: Epoch 1010/9999, Iter 100920: Loss = 0.019305231049656868, lr = [5e-05] +[2024-05-21 15:52:10,985] - INFO: Epoch 1010/9999, Iter 100940: Loss = 0.013570664450526237, lr = [5e-05] +[2024-05-21 15:52:36,486] - INFO: Epoch 1010/9999, Iter 100960: Loss = 0.016433194279670715, lr = [5e-05] +[2024-05-21 15:53:01,976] - INFO: Epoch 1010/9999, Iter 100980: Loss = 0.008961922489106655, lr = [5e-05] +[2024-05-21 15:53:29,381] - INFO: Evaluate at epoch 1010! +[2024-05-21 15:53:41,160] - INFO: Eval PSNR (max): 37.992 (1005) SSIM (max): 0.9609 (1005) +[2024-05-21 15:53:41,160] - INFO: Eval PSNR (current): 37.973 (1010) SSIM (current): 0.9608 (1010) +[2024-05-21 15:53:41,160] - INFO: Evaluation over. +[2024-05-21 15:55:17,486] - INFO: Epoch 1011/9999, Iter 101000: Loss = 0.01605847291648388, lr = [5e-05] +[2024-05-21 15:55:40,928] - INFO: Epoch 1011/9999, Iter 101020: Loss = 0.007259417325258255, lr = [5e-05] +[2024-05-21 15:56:07,134] - INFO: Epoch 1011/9999, Iter 101040: Loss = 0.01020397711545229, lr = [5e-05] +[2024-05-21 15:56:33,751] - INFO: Epoch 1011/9999, Iter 101060: Loss = 0.010516094043850899, lr = [5e-05] +[2024-05-21 15:57:01,316] - INFO: Epoch 1011/9999, Iter 101080: Loss = 0.006284297443926334, lr = [5e-05] +[2024-05-21 15:57:35,909] - INFO: Epoch 1012/9999, Iter 101100: Loss = 0.011792270466685295, lr = [5e-05] +[2024-05-21 15:58:00,714] - INFO: Epoch 1012/9999, Iter 101120: Loss = 0.013766822405159473, lr = [5e-05] +[2024-05-21 15:58:27,836] - INFO: Epoch 1012/9999, Iter 101140: Loss = 0.009357178583741188, lr = [5e-05] +[2024-05-21 15:58:51,902] - INFO: Epoch 1012/9999, Iter 101160: Loss = 0.009132151491940022, lr = [5e-05] +[2024-05-21 15:59:06,281] - INFO: Epoch 1012/9999, Iter 101180: Loss = 0.012417714111506939, lr = [5e-05] +[2024-05-21 15:59:22,164] - INFO: Epoch 1013/9999, Iter 101200: Loss = 0.009224103763699532, lr = [5e-05] +[2024-05-21 15:59:36,646] - INFO: Epoch 1013/9999, Iter 101220: Loss = 0.008984158746898174, lr = [5e-05] +[2024-05-21 15:59:50,990] - INFO: Epoch 1013/9999, Iter 101240: Loss = 0.010924456641077995, lr = [5e-05] +[2024-05-21 16:00:10,047] - INFO: Epoch 1013/9999, Iter 101260: Loss = 0.01985401101410389, lr = [5e-05] +[2024-05-21 16:00:37,559] - INFO: Epoch 1013/9999, Iter 101280: Loss = 0.012894749641418457, lr = [5e-05] +[2024-05-21 16:01:15,422] - INFO: Epoch 1014/9999, Iter 101300: Loss = 0.010015429928898811, lr = [5e-05] +[2024-05-21 16:01:40,618] - INFO: Epoch 1014/9999, Iter 101320: Loss = 0.008399148471653461, lr = [5e-05] +[2024-05-21 16:02:07,644] - INFO: Epoch 1014/9999, Iter 101340: Loss = 0.0072931251488626, lr = [5e-05] +[2024-05-21 16:02:52,087] - INFO: Epoch 1014/9999, Iter 101360: Loss = 0.010167528875172138, lr = [5e-05] +[2024-05-21 16:04:33,816] - INFO: Epoch 1014/9999, Iter 101380: Loss = 0.01762467995285988, lr = [5e-05] +[2024-05-21 16:08:44,613] - INFO: Epoch 1015/9999, Iter 101400: Loss = 0.01223429013043642, lr = [5e-05] +[2024-05-21 16:09:09,309] - INFO: Epoch 1015/9999, Iter 101420: Loss = 0.015200244262814522, lr = [5e-05] +[2024-05-21 16:10:00,531] - INFO: Epoch 1015/9999, Iter 101440: Loss = 0.016463112086057663, lr = [5e-05] +[2024-05-21 16:10:24,418] - INFO: Epoch 1015/9999, Iter 101460: Loss = 0.017326781526207924, lr = [5e-05] +[2024-05-21 16:10:48,664] - INFO: Epoch 1015/9999, Iter 101480: Loss = 0.012414596043527126, lr = [5e-05] +[2024-05-21 16:11:12,438] - INFO: Evaluate at epoch 1015! +[2024-05-21 16:13:30,549] - INFO: Eval PSNR (max): 37.994 (1015) SSIM (max): 0.9609 (1015) +[2024-05-21 16:13:30,550] - INFO: Eval PSNR (current): 37.994 (1015) SSIM (current): 0.9609 (1015) +[2024-05-21 16:13:30,550] - INFO: Evaluation over. +[2024-05-21 16:14:43,303] - INFO: Epoch 1016/9999, Iter 101500: Loss = 0.010569361969828606, lr = [5e-05] +[2024-05-21 16:14:57,660] - INFO: Epoch 1016/9999, Iter 101520: Loss = 0.022790029644966125, lr = [5e-05] +[2024-05-21 16:15:11,825] - INFO: Epoch 1016/9999, Iter 101540: Loss = 0.01426333375275135, lr = [5e-05] +[2024-05-21 16:15:27,807] - INFO: Epoch 1016/9999, Iter 101560: Loss = 0.012361954897642136, lr = [5e-05] +[2024-05-21 16:15:55,982] - INFO: Epoch 1016/9999, Iter 101580: Loss = 0.012333850376307964, lr = [5e-05] +[2024-05-21 16:16:33,047] - INFO: Epoch 1017/9999, Iter 101600: Loss = 0.010617615655064583, lr = [5e-05] +[2024-05-21 16:16:59,745] - INFO: Epoch 1017/9999, Iter 101620: Loss = 0.01482581626623869, lr = [5e-05] +[2024-05-21 16:17:27,299] - INFO: Epoch 1017/9999, Iter 101640: Loss = 0.007589320186525583, lr = [5e-05] +[2024-05-21 16:17:56,102] - INFO: Epoch 1017/9999, Iter 101660: Loss = 0.00766619062051177, lr = [5e-05] +[2024-05-21 16:18:21,412] - INFO: Epoch 1017/9999, Iter 101680: Loss = 0.016906078904867172, lr = [5e-05] +[2024-05-21 16:18:58,978] - INFO: Epoch 1018/9999, Iter 101700: Loss = 0.01540999487042427, lr = [5e-05] +[2024-05-21 16:19:24,816] - INFO: Epoch 1018/9999, Iter 101720: Loss = 0.009498579427599907, lr = [5e-05] +[2024-05-21 16:19:52,653] - INFO: Epoch 1018/9999, Iter 101740: Loss = 0.01355853769928217, lr = [5e-05] +[2024-05-21 16:20:20,798] - INFO: Epoch 1018/9999, Iter 101760: Loss = 0.008900212123990059, lr = [5e-05] +[2024-05-21 16:20:49,818] - INFO: Epoch 1018/9999, Iter 101780: Loss = 0.007945330813527107, lr = [5e-05] +[2024-05-21 16:21:26,630] - INFO: Epoch 1019/9999, Iter 101800: Loss = 0.009170101955533028, lr = [5e-05] +[2024-05-21 16:21:43,610] - INFO: Epoch 1019/9999, Iter 101820: Loss = 0.01428495068103075, lr = [5e-05] +[2024-05-21 16:21:58,001] - INFO: Epoch 1019/9999, Iter 101840: Loss = 0.015673695132136345, lr = [5e-05] +[2024-05-21 16:22:12,493] - INFO: Epoch 1019/9999, Iter 101860: Loss = 0.01818796619772911, lr = [5e-05] +[2024-05-21 16:22:26,966] - INFO: Epoch 1019/9999, Iter 101880: Loss = 0.015284673310816288, lr = [5e-05] +[2024-05-21 16:22:52,038] - INFO: Epoch 1020/9999, Iter 101900: Loss = 0.023670289665460587, lr = [5e-05] +[2024-05-21 16:23:16,185] - INFO: Epoch 1020/9999, Iter 101920: Loss = 0.008456863462924957, lr = [5e-05] +[2024-05-21 16:23:43,752] - INFO: Epoch 1020/9999, Iter 101940: Loss = 0.014847541227936745, lr = [5e-05] +[2024-05-21 16:24:13,502] - INFO: Epoch 1020/9999, Iter 101960: Loss = 0.0131681514903903, lr = [5e-05] +[2024-05-21 16:24:41,779] - INFO: Epoch 1020/9999, Iter 101980: Loss = 0.01256154291331768, lr = [5e-05] +[2024-05-21 16:25:10,050] - INFO: Evaluate at epoch 1020! +[2024-05-21 16:26:48,317] - INFO: Eval PSNR (max): 37.994 (1015) SSIM (max): 0.9609 (1020) +[2024-05-21 16:26:48,574] - INFO: Eval PSNR (current): 37.987 (1020) SSIM (current): 0.9609 (1020) +[2024-05-21 16:26:48,574] - INFO: Evaluation over. +[2024-05-21 16:28:28,138] - INFO: Epoch 1021/9999, Iter 102000: Loss = 0.014458881691098213, lr = [5e-05] +[2024-05-21 16:28:55,950] - INFO: Epoch 1021/9999, Iter 102020: Loss = 0.016250750049948692, lr = [5e-05] +[2024-05-21 16:29:25,349] - INFO: Epoch 1021/9999, Iter 102040: Loss = 0.007195963524281979, lr = [5e-05] +[2024-05-21 16:30:47,793] - INFO: Epoch 1021/9999, Iter 102060: Loss = 0.017426081001758575, lr = [5e-05] +[2024-05-21 16:31:12,131] - INFO: Epoch 1021/9999, Iter 102080: Loss = 0.019857004284858704, lr = [5e-05] +[2024-05-21 16:31:27,964] - INFO: Epoch 1022/9999, Iter 102100: Loss = 0.012215739116072655, lr = [5e-05] +[2024-05-21 16:31:42,328] - INFO: Epoch 1022/9999, Iter 102120: Loss = 0.018182430416345596, lr = [5e-05] +[2024-05-21 16:31:56,708] - INFO: Epoch 1022/9999, Iter 102140: Loss = 0.01382246520370245, lr = [5e-05] +[2024-05-21 16:32:11,112] - INFO: Epoch 1022/9999, Iter 102160: Loss = 0.009549414739012718, lr = [5e-05] +[2024-05-21 16:32:38,590] - INFO: Epoch 1022/9999, Iter 102180: Loss = 0.013761995360255241, lr = [5e-05] +[2024-05-21 16:33:24,264] - INFO: Epoch 1023/9999, Iter 102200: Loss = 0.006351867225021124, lr = [5e-05] +[2024-05-21 16:33:56,255] - INFO: Epoch 1023/9999, Iter 102220: Loss = 0.012611144222319126, lr = [5e-05] +[2024-05-21 16:34:31,263] - INFO: Epoch 1023/9999, Iter 102240: Loss = 0.015411346219480038, lr = [5e-05] +[2024-05-21 16:38:01,715] - INFO: Epoch 1023/9999, Iter 102260: Loss = 0.021002622321248055, lr = [5e-05] +[2024-05-21 16:38:26,473] - INFO: Epoch 1023/9999, Iter 102280: Loss = 0.012808484025299549, lr = [5e-05] +[2024-05-21 16:38:58,764] - INFO: Epoch 1024/9999, Iter 102300: Loss = 0.016487915068864822, lr = [5e-05] +[2024-05-21 16:39:21,711] - INFO: Epoch 1024/9999, Iter 102320: Loss = 0.013296953402459621, lr = [5e-05] +[2024-05-21 16:39:46,681] - INFO: Epoch 1024/9999, Iter 102340: Loss = 0.010306864976882935, lr = [5e-05] +[2024-05-21 16:40:12,115] - INFO: Epoch 1024/9999, Iter 102360: Loss = 0.021381983533501625, lr = [5e-05] +[2024-05-21 16:40:37,270] - INFO: Epoch 1024/9999, Iter 102380: Loss = 0.014197176322340965, lr = [5e-05] +[2024-05-21 16:41:10,469] - INFO: Epoch 1025/9999, Iter 102400: Loss = 0.010917222127318382, lr = [5e-05] +[2024-05-21 16:41:31,777] - INFO: Epoch 1025/9999, Iter 102420: Loss = 0.013979126699268818, lr = [5e-05] +[2024-05-21 16:41:46,156] - INFO: Epoch 1025/9999, Iter 102440: Loss = 0.016023119911551476, lr = [5e-05] +[2024-05-21 16:42:00,568] - INFO: Epoch 1025/9999, Iter 102460: Loss = 0.017364582046866417, lr = [5e-05] +[2024-05-21 16:42:15,013] - INFO: Epoch 1025/9999, Iter 102480: Loss = 0.006427731830626726, lr = [5e-05] +[2024-05-21 16:42:29,066] - INFO: Evaluate at epoch 1025! +[2024-05-21 16:42:34,037] - INFO: Eval PSNR (max): 37.994 (1015) SSIM (max): 0.9609 (1020) +[2024-05-21 16:42:34,037] - INFO: Eval PSNR (current): 37.923 (1025) SSIM (current): 0.9607 (1025) +[2024-05-21 16:42:34,037] - INFO: Evaluation over. +[2024-05-21 16:44:06,665] - INFO: Epoch 1026/9999, Iter 102500: Loss = 0.015763141214847565, lr = [5e-05] +[2024-05-21 16:44:31,775] - INFO: Epoch 1026/9999, Iter 102520: Loss = 0.01514473557472229, lr = [5e-05] +[2024-05-21 16:44:56,707] - INFO: Epoch 1026/9999, Iter 102540: Loss = 0.013494138605892658, lr = [5e-05] +[2024-05-21 16:45:22,141] - INFO: Epoch 1026/9999, Iter 102560: Loss = 0.007826993241906166, lr = [5e-05] +[2024-05-21 16:45:47,595] - INFO: Epoch 1026/9999, Iter 102580: Loss = 0.013263272121548653, lr = [5e-05] +[2024-05-21 16:46:17,826] - INFO: Epoch 1027/9999, Iter 102600: Loss = 0.012604263611137867, lr = [5e-05] +[2024-05-21 16:46:41,387] - INFO: Epoch 1027/9999, Iter 102620: Loss = 0.016930395737290382, lr = [5e-05] +[2024-05-21 16:47:06,364] - INFO: Epoch 1027/9999, Iter 102640: Loss = 0.023912960663437843, lr = [5e-05] +[2024-05-21 16:47:32,017] - INFO: Epoch 1027/9999, Iter 102660: Loss = 0.005633351858705282, lr = [5e-05] +[2024-05-21 16:47:56,560] - INFO: Epoch 1027/9999, Iter 102680: Loss = 0.009713034145534039, lr = [5e-05] +[2024-05-21 16:54:21,994] - INFO: Epoch 1028/9999, Iter 102700: Loss = 0.009746902622282505, lr = [5e-05] +[2024-05-21 16:54:45,812] - INFO: Epoch 1028/9999, Iter 102720: Loss = 0.010803903453052044, lr = [5e-05] +[2024-05-21 16:55:09,072] - INFO: Epoch 1028/9999, Iter 102740: Loss = 0.009957628324627876, lr = [5e-05] +[2024-05-21 16:55:30,510] - INFO: Epoch 1028/9999, Iter 102760: Loss = 0.016104156151413918, lr = [5e-05] +[2024-05-21 16:55:44,825] - INFO: Epoch 1028/9999, Iter 102780: Loss = 0.011306262575089931, lr = [5e-05] +[2024-05-21 16:56:00,778] - INFO: Epoch 1029/9999, Iter 102800: Loss = 0.007688103709369898, lr = [5e-05] +[2024-05-21 16:56:15,116] - INFO: Epoch 1029/9999, Iter 102820: Loss = 0.013941017910838127, lr = [5e-05] +[2024-05-21 16:56:29,463] - INFO: Epoch 1029/9999, Iter 102840: Loss = 0.013179092667996883, lr = [5e-05] +[2024-05-21 16:56:48,994] - INFO: Epoch 1029/9999, Iter 102860: Loss = 0.012277035042643547, lr = [5e-05] +[2024-05-21 16:57:16,487] - INFO: Epoch 1029/9999, Iter 102880: Loss = 0.012216565199196339, lr = [5e-05] +[2024-05-21 16:57:52,678] - INFO: Epoch 1030/9999, Iter 102900: Loss = 0.018763387575745583, lr = [5e-05] +[2024-05-21 16:58:19,280] - INFO: Epoch 1030/9999, Iter 102920: Loss = 0.009828179143369198, lr = [5e-05] +[2024-05-21 16:58:46,519] - INFO: Epoch 1030/9999, Iter 102940: Loss = 0.010616783052682877, lr = [5e-05] +[2024-05-21 16:59:13,695] - INFO: Epoch 1030/9999, Iter 102960: Loss = 0.011417610570788383, lr = [5e-05] +[2024-05-21 16:59:40,355] - INFO: Epoch 1030/9999, Iter 102980: Loss = 0.008833407424390316, lr = [5e-05] +[2024-05-21 17:00:06,451] - INFO: Evaluate at epoch 1030! +[2024-05-21 17:01:45,389] - INFO: Eval PSNR (max): 37.994 (1015) SSIM (max): 0.9609 (1030) +[2024-05-21 17:01:45,558] - INFO: Eval PSNR (current): 37.963 (1030) SSIM (current): 0.9609 (1030) +[2024-05-21 17:01:45,558] - INFO: Evaluation over. +[2024-05-21 17:03:25,665] - INFO: Epoch 1031/9999, Iter 103000: Loss = 0.00893020536750555, lr = [5e-05] +[2024-05-21 17:03:54,836] - INFO: Epoch 1031/9999, Iter 103020: Loss = 0.008670699782669544, lr = [5e-05] +[2024-05-21 17:04:15,335] - INFO: Epoch 1031/9999, Iter 103040: Loss = 0.013849902898073196, lr = [5e-05] +[2024-05-21 17:04:29,731] - INFO: Epoch 1031/9999, Iter 103060: Loss = 0.01626722887158394, lr = [5e-05] +[2024-05-21 17:04:44,043] - INFO: Epoch 1031/9999, Iter 103080: Loss = 0.008080746978521347, lr = [5e-05] +[2024-05-21 17:04:59,931] - INFO: Epoch 1032/9999, Iter 103100: Loss = 0.016835829243063927, lr = [5e-05] +[2024-05-21 17:05:14,368] - INFO: Epoch 1032/9999, Iter 103120: Loss = 0.017331594601273537, lr = [5e-05] +[2024-05-21 17:05:37,541] - INFO: Epoch 1032/9999, Iter 103140: Loss = 0.022049617022275925, lr = [5e-05] +[2024-05-21 17:06:05,171] - INFO: Epoch 1032/9999, Iter 103160: Loss = 0.01819348707795143, lr = [5e-05] +[2024-05-21 17:06:35,229] - INFO: Epoch 1032/9999, Iter 103180: Loss = 0.006519063841551542, lr = [5e-05] +[2024-05-21 17:07:12,082] - INFO: Epoch 1033/9999, Iter 103200: Loss = 0.01103123463690281, lr = [5e-05] +[2024-05-21 17:07:38,322] - INFO: Epoch 1033/9999, Iter 103220: Loss = 0.008978231810033321, lr = [5e-05] +[2024-05-21 17:08:03,013] - INFO: Epoch 1033/9999, Iter 103240: Loss = 0.010601012967526913, lr = [5e-05] +[2024-05-21 17:08:33,330] - INFO: Epoch 1033/9999, Iter 103260: Loss = 0.023016806691884995, lr = [5e-05] +[2024-05-21 17:09:01,958] - INFO: Epoch 1033/9999, Iter 103280: Loss = 0.009922259487211704, lr = [5e-05] +[2024-05-21 17:09:39,644] - INFO: Epoch 1034/9999, Iter 103300: Loss = 0.012774800881743431, lr = [5e-05] +[2024-05-21 17:10:06,437] - INFO: Epoch 1034/9999, Iter 103320: Loss = 0.022165298461914062, lr = [5e-05] +[2024-05-21 17:11:19,985] - INFO: Epoch 1034/9999, Iter 103340: Loss = 0.01326953899115324, lr = [5e-05] +[2024-05-21 17:11:48,941] - INFO: Epoch 1034/9999, Iter 103360: Loss = 0.012127715162932873, lr = [5e-05] +[2024-05-21 17:12:14,508] - INFO: Epoch 1034/9999, Iter 103380: Loss = 0.007324012462049723, lr = [5e-05] +[2024-05-21 17:12:30,277] - INFO: Epoch 1035/9999, Iter 103400: Loss = 0.012171129696071148, lr = [5e-05] +[2024-05-21 17:12:44,676] - INFO: Epoch 1035/9999, Iter 103420: Loss = 0.010024745017290115, lr = [5e-05] +[2024-05-21 17:12:59,204] - INFO: Epoch 1035/9999, Iter 103440: Loss = 0.008921423926949501, lr = [5e-05] +[2024-05-21 17:13:13,577] - INFO: Epoch 1035/9999, Iter 103460: Loss = 0.017351560294628143, lr = [5e-05] +[2024-05-21 17:13:35,113] - INFO: Epoch 1035/9999, Iter 103480: Loss = 0.007694834377616644, lr = [5e-05] +[2024-05-21 17:14:03,465] - INFO: Evaluate at epoch 1035! +[2024-05-21 17:14:16,926] - INFO: Eval PSNR (max): 37.994 (1015) SSIM (max): 0.9609 (1030) +[2024-05-21 17:14:16,927] - INFO: Eval PSNR (current): 37.955 (1035) SSIM (current): 0.9607 (1035) +[2024-05-21 17:14:16,927] - INFO: Evaluation over. +[2024-05-21 17:15:55,184] - INFO: Epoch 1036/9999, Iter 103500: Loss = 0.010663283988833427, lr = [5e-05] +[2024-05-21 17:16:49,188] - INFO: Epoch 1036/9999, Iter 103520: Loss = 0.014201123267412186, lr = [5e-05] +[2024-05-21 17:17:15,532] - INFO: Epoch 1036/9999, Iter 103540: Loss = 0.011584091931581497, lr = [5e-05] +[2024-05-21 17:17:44,889] - INFO: Epoch 1036/9999, Iter 103560: Loss = 0.011897062882781029, lr = [5e-05] +[2024-05-21 17:18:15,979] - INFO: Epoch 1036/9999, Iter 103580: Loss = 0.010335175320506096, lr = [5e-05] +[2024-05-21 17:18:54,910] - INFO: Epoch 1037/9999, Iter 103600: Loss = 0.0096975676715374, lr = [5e-05] +[2024-05-21 17:19:21,585] - INFO: Epoch 1037/9999, Iter 103620: Loss = 0.014233560301363468, lr = [5e-05] +[2024-05-21 17:19:50,182] - INFO: Epoch 1037/9999, Iter 103640: Loss = 0.010202213190495968, lr = [5e-05] +[2024-05-21 17:20:18,842] - INFO: Epoch 1037/9999, Iter 103660: Loss = 0.011792915873229504, lr = [5e-05] +[2024-05-21 17:20:40,108] - INFO: Epoch 1037/9999, Iter 103680: Loss = 0.01712595857679844, lr = [5e-05] +[2024-05-21 17:20:55,870] - INFO: Epoch 1038/9999, Iter 103700: Loss = 0.007944198325276375, lr = [5e-05] +[2024-05-21 17:21:10,540] - INFO: Epoch 1038/9999, Iter 103720: Loss = 0.014326684176921844, lr = [5e-05] +[2024-05-21 17:21:24,957] - INFO: Epoch 1038/9999, Iter 103740: Loss = 0.011417271569371223, lr = [5e-05] +[2024-05-21 17:21:39,401] - INFO: Epoch 1038/9999, Iter 103760: Loss = 0.006918522994965315, lr = [5e-05] +[2024-05-21 17:22:05,704] - INFO: Epoch 1038/9999, Iter 103780: Loss = 0.015427470207214355, lr = [5e-05] +[2024-05-21 17:22:44,253] - INFO: Epoch 1039/9999, Iter 103800: Loss = 0.015996063128113747, lr = [5e-05] +[2024-05-21 17:23:10,966] - INFO: Epoch 1039/9999, Iter 103820: Loss = 0.01468797866255045, lr = [5e-05] +[2024-05-21 17:23:39,049] - INFO: Epoch 1039/9999, Iter 103840: Loss = 0.01267723273485899, lr = [5e-05] +[2024-05-21 17:24:09,879] - INFO: Epoch 1039/9999, Iter 103860: Loss = 0.006897306069731712, lr = [5e-05] +[2024-05-21 17:24:35,143] - INFO: Epoch 1039/9999, Iter 103880: Loss = 0.009703027084469795, lr = [5e-05] +[2024-05-21 17:25:12,262] - INFO: Epoch 1040/9999, Iter 103900: Loss = 0.012075011618435383, lr = [5e-05] +[2024-05-21 17:25:37,946] - INFO: Epoch 1040/9999, Iter 103920: Loss = 0.01130965817719698, lr = [5e-05] +[2024-05-21 17:26:08,390] - INFO: Epoch 1040/9999, Iter 103940: Loss = 0.020081304013729095, lr = [5e-05] +[2024-05-21 17:26:38,342] - INFO: Epoch 1040/9999, Iter 103960: Loss = 0.013918737880885601, lr = [5e-05] +[2024-05-21 17:27:08,356] - INFO: Epoch 1040/9999, Iter 103980: Loss = 0.013091710396111012, lr = [5e-05] +[2024-05-21 17:27:34,777] - INFO: Evaluate at epoch 1040! +[2024-05-21 17:27:47,371] - INFO: Eval PSNR (max): 37.994 (1015) SSIM (max): 0.9609 (1030) +[2024-05-21 17:27:47,371] - INFO: Eval PSNR (current): 37.886 (1040) SSIM (current): 0.9608 (1040) +[2024-05-21 17:27:47,371] - INFO: Evaluation over. +[2024-05-21 17:29:04,237] - INFO: Epoch 1041/9999, Iter 104000: Loss = 0.008066610433161259, lr = [5e-05] +[2024-05-21 17:29:18,450] - INFO: Epoch 1041/9999, Iter 104020: Loss = 0.009850835427641869, lr = [5e-05] +[2024-05-21 17:29:32,751] - INFO: Epoch 1041/9999, Iter 104040: Loss = 0.008704026229679585, lr = [5e-05] +[2024-05-21 17:29:47,243] - INFO: Epoch 1041/9999, Iter 104060: Loss = 0.011157027445733547, lr = [5e-05] +[2024-05-21 17:30:01,604] - INFO: Epoch 1041/9999, Iter 104080: Loss = 0.0121387904509902, lr = [5e-05] +[2024-05-21 17:30:39,205] - INFO: Epoch 1042/9999, Iter 104100: Loss = 0.02054634317755699, lr = [5e-05] +[2024-05-21 17:31:07,239] - INFO: Epoch 1042/9999, Iter 104120: Loss = 0.01271418109536171, lr = [5e-05] +[2024-05-21 17:31:38,000] - INFO: Epoch 1042/9999, Iter 104140: Loss = 0.013686884194612503, lr = [5e-05] +[2024-05-21 17:32:10,603] - INFO: Epoch 1042/9999, Iter 104160: Loss = 0.011629395186901093, lr = [5e-05] +[2024-05-21 17:32:41,935] - INFO: Epoch 1042/9999, Iter 104180: Loss = 0.009960931725800037, lr = [5e-05] +[2024-05-21 17:33:21,956] - INFO: Epoch 1043/9999, Iter 104200: Loss = 0.011742797680199146, lr = [5e-05] +[2024-05-21 17:33:52,938] - INFO: Epoch 1043/9999, Iter 104220: Loss = 0.014217005111277103, lr = [5e-05] +[2024-05-21 17:34:24,552] - INFO: Epoch 1043/9999, Iter 104240: Loss = 0.01658240146934986, lr = [5e-05] +[2024-05-21 17:34:56,553] - INFO: Epoch 1043/9999, Iter 104260: Loss = 0.015926377847790718, lr = [5e-05] +[2024-05-21 17:35:28,671] - INFO: Epoch 1043/9999, Iter 104280: Loss = 0.009557929821312428, lr = [5e-05] +[2024-05-21 17:36:11,481] - INFO: Epoch 1044/9999, Iter 104300: Loss = 0.016285831108689308, lr = [5e-05] +[2024-05-21 17:36:27,336] - INFO: Epoch 1044/9999, Iter 104320: Loss = 0.013725090771913528, lr = [5e-05] +[2024-05-21 17:36:41,794] - INFO: Epoch 1044/9999, Iter 104340: Loss = 0.01623377948999405, lr = [5e-05] +[2024-05-21 17:36:56,183] - INFO: Epoch 1044/9999, Iter 104360: Loss = 0.00803338922560215, lr = [5e-05] +[2024-05-21 17:37:10,648] - INFO: Epoch 1044/9999, Iter 104380: Loss = 0.01353145856410265, lr = [5e-05] +[2024-05-21 17:37:35,890] - INFO: Epoch 1045/9999, Iter 104400: Loss = 0.013943804427981377, lr = [5e-05] +[2024-05-21 17:38:02,135] - INFO: Epoch 1045/9999, Iter 104420: Loss = 0.007313333451747894, lr = [5e-05] +[2024-05-21 17:38:33,744] - INFO: Epoch 1045/9999, Iter 104440: Loss = 0.017303988337516785, lr = [5e-05] +[2024-05-21 17:39:06,301] - INFO: Epoch 1045/9999, Iter 104460: Loss = 0.017166856676340103, lr = [5e-05] +[2024-05-21 17:39:38,052] - INFO: Epoch 1045/9999, Iter 104480: Loss = 0.007799782324582338, lr = [5e-05] +[2024-05-21 17:40:04,730] - INFO: Evaluate at epoch 1045! +[2024-05-21 17:40:19,061] - INFO: Eval PSNR (max): 37.994 (1015) SSIM (max): 0.9609 (1030) +[2024-05-21 17:40:19,061] - INFO: Eval PSNR (current): 37.932 (1045) SSIM (current): 0.9608 (1045) +[2024-05-21 17:40:19,061] - INFO: Evaluation over. +[2024-05-21 17:42:00,040] - INFO: Epoch 1046/9999, Iter 104500: Loss = 0.01745408959686756, lr = [5e-05] +[2024-05-21 17:42:30,958] - INFO: Epoch 1046/9999, Iter 104520: Loss = 0.011173487640917301, lr = [5e-05] +[2024-05-21 17:43:04,408] - INFO: Epoch 1046/9999, Iter 104540: Loss = 0.01128353551030159, lr = [5e-05] +[2024-05-21 17:43:36,690] - INFO: Epoch 1046/9999, Iter 104560: Loss = 0.01910771243274212, lr = [5e-05] +[2024-05-21 17:44:07,554] - INFO: Epoch 1046/9999, Iter 104580: Loss = 0.017088379710912704, lr = [5e-05] +[2024-05-21 17:44:25,035] - INFO: Epoch 1047/9999, Iter 104600: Loss = 0.016034873202443123, lr = [5e-05] +[2024-05-21 17:44:39,448] - INFO: Epoch 1047/9999, Iter 104620: Loss = 0.014210168272256851, lr = [5e-05] +[2024-05-21 17:44:53,826] - INFO: Epoch 1047/9999, Iter 104640: Loss = 0.011680341325700283, lr = [5e-05] +[2024-05-21 17:45:08,238] - INFO: Epoch 1047/9999, Iter 104660: Loss = 0.010180376470088959, lr = [5e-05] +[2024-05-21 17:45:24,838] - INFO: Epoch 1047/9999, Iter 104680: Loss = 0.007725905627012253, lr = [5e-05] +[2024-05-21 17:46:05,731] - INFO: Epoch 1048/9999, Iter 104700: Loss = 0.010138141922652721, lr = [5e-05] +[2024-05-21 17:46:34,904] - INFO: Epoch 1048/9999, Iter 104720: Loss = 0.01625991240143776, lr = [5e-05] +[2024-05-21 17:47:07,161] - INFO: Epoch 1048/9999, Iter 104740: Loss = 0.011616772040724754, lr = [5e-05] +[2024-05-21 17:47:39,811] - INFO: Epoch 1048/9999, Iter 104760: Loss = 0.013139493763446808, lr = [5e-05] +[2024-05-21 17:48:09,244] - INFO: Epoch 1048/9999, Iter 104780: Loss = 0.010573077946901321, lr = [5e-05] +[2024-05-21 17:48:51,572] - INFO: Epoch 1049/9999, Iter 104800: Loss = 0.022088011726737022, lr = [5e-05] +[2024-05-21 17:49:21,550] - INFO: Epoch 1049/9999, Iter 104820: Loss = 0.01212052721530199, lr = [5e-05] +[2024-05-21 17:49:52,247] - INFO: Epoch 1049/9999, Iter 104840: Loss = 0.012383773922920227, lr = [5e-05] +[2024-05-21 17:50:24,561] - INFO: Epoch 1049/9999, Iter 104860: Loss = 0.015583686530590057, lr = [5e-05] +[2024-05-21 17:50:58,937] - INFO: Epoch 1049/9999, Iter 104880: Loss = 0.01954401284456253, lr = [5e-05] +[2024-05-21 17:51:31,648] - INFO: Epoch 1050/9999, Iter 104900: Loss = 0.011695362627506256, lr = [5e-05] +[2024-05-21 17:51:45,984] - INFO: Epoch 1050/9999, Iter 104920: Loss = 0.017605463042855263, lr = [5e-05] +[2024-05-21 17:52:00,457] - INFO: Epoch 1050/9999, Iter 104940: Loss = 0.00967214535921812, lr = [5e-05] +[2024-05-21 17:52:14,912] - INFO: Epoch 1050/9999, Iter 104960: Loss = 0.008584382012486458, lr = [5e-05] +[2024-05-21 17:52:29,266] - INFO: Epoch 1050/9999, Iter 104980: Loss = 0.01709051802754402, lr = [5e-05] +[2024-05-21 17:52:47,537] - INFO: Evaluate at epoch 1050! +[2024-05-21 17:53:03,193] - INFO: Eval PSNR (max): 37.994 (1015) SSIM (max): 0.9609 (1030) +[2024-05-21 17:53:03,193] - INFO: Eval PSNR (current): 37.898 (1050) SSIM (current): 0.9606 (1050) +[2024-05-21 17:53:03,194] - INFO: Evaluation over. +[2024-05-21 17:55:51,997] - INFO: Epoch 1051/9999, Iter 105000: Loss = 0.013751466758549213, lr = [5e-05] +[2024-05-21 17:56:23,008] - INFO: Epoch 1051/9999, Iter 105020: Loss = 0.007813687436282635, lr = [5e-05] +[2024-05-21 17:56:54,454] - INFO: Epoch 1051/9999, Iter 105040: Loss = 0.013091592118144035, lr = [5e-05] +[2024-05-21 17:57:23,476] - INFO: Epoch 1051/9999, Iter 105060: Loss = 0.007304515223950148, lr = [5e-05] +[2024-05-21 17:57:55,075] - INFO: Epoch 1051/9999, Iter 105080: Loss = 0.013881885446608067, lr = [5e-05] +[2024-05-21 17:58:36,087] - INFO: Epoch 1052/9999, Iter 105100: Loss = 0.013052661903202534, lr = [5e-05] +[2024-05-21 17:59:05,529] - INFO: Epoch 1052/9999, Iter 105120: Loss = 0.007734555751085281, lr = [5e-05] +[2024-05-21 17:59:36,857] - INFO: Epoch 1052/9999, Iter 105140: Loss = 0.007084289565682411, lr = [5e-05] +[2024-05-21 18:00:10,338] - INFO: Epoch 1052/9999, Iter 105160: Loss = 0.019943002611398697, lr = [5e-05] +[2024-05-21 18:00:38,695] - INFO: Epoch 1052/9999, Iter 105180: Loss = 0.015648754313588142, lr = [5e-05] +[2024-05-21 18:00:54,433] - INFO: Epoch 1053/9999, Iter 105200: Loss = 0.01700652949512005, lr = [5e-05] +[2024-05-21 18:01:08,944] - INFO: Epoch 1053/9999, Iter 105220: Loss = 0.01658453606069088, lr = [5e-05] +[2024-05-21 18:01:23,396] - INFO: Epoch 1053/9999, Iter 105240: Loss = 0.009357870556414127, lr = [5e-05] +[2024-05-21 18:01:37,797] - INFO: Epoch 1053/9999, Iter 105260: Loss = 0.005819244775921106, lr = [5e-05] +[2024-05-21 18:01:58,476] - INFO: Epoch 1053/9999, Iter 105280: Loss = 0.015694864094257355, lr = [5e-05] +[2024-05-21 18:02:41,488] - INFO: Epoch 1054/9999, Iter 105300: Loss = 0.019322523847222328, lr = [5e-05] +[2024-05-21 18:03:11,038] - INFO: Epoch 1054/9999, Iter 105320: Loss = 0.014295672066509724, lr = [5e-05] +[2024-05-21 18:03:41,643] - INFO: Epoch 1054/9999, Iter 105340: Loss = 0.00995915662497282, lr = [5e-05] +[2024-05-21 18:04:13,388] - INFO: Epoch 1054/9999, Iter 105360: Loss = 0.010215059854090214, lr = [5e-05] +[2024-05-21 18:04:42,183] - INFO: Epoch 1054/9999, Iter 105380: Loss = 0.01037247758358717, lr = [5e-05] +[2024-05-21 18:05:23,038] - INFO: Epoch 1055/9999, Iter 105400: Loss = 0.009767891839146614, lr = [5e-05] +[2024-05-21 18:05:52,206] - INFO: Epoch 1055/9999, Iter 105420: Loss = 0.010724871419370174, lr = [5e-05] +[2024-05-21 18:06:24,641] - INFO: Epoch 1055/9999, Iter 105440: Loss = 0.01543179526925087, lr = [5e-05] +[2024-05-21 18:06:56,604] - INFO: Epoch 1055/9999, Iter 105460: Loss = 0.007432773243635893, lr = [5e-05] +[2024-05-21 18:07:29,028] - INFO: Epoch 1055/9999, Iter 105480: Loss = 0.005668156780302525, lr = [5e-05] +[2024-05-21 18:07:58,097] - INFO: Evaluate at epoch 1055! +[2024-05-21 18:08:03,223] - INFO: Eval PSNR (max): 37.994 (1015) SSIM (max): 0.9609 (1030) +[2024-05-21 18:08:03,223] - INFO: Eval PSNR (current): 37.990 (1055) SSIM (current): 0.9609 (1055) +[2024-05-21 18:08:03,223] - INFO: Evaluation over. +[2024-05-21 18:09:15,768] - INFO: Epoch 1056/9999, Iter 105500: Loss = 0.012400150299072266, lr = [5e-05] +[2024-05-21 18:09:30,084] - INFO: Epoch 1056/9999, Iter 105520: Loss = 0.016843382269144058, lr = [5e-05] +[2024-05-21 18:09:44,407] - INFO: Epoch 1056/9999, Iter 105540: Loss = 0.006293120793998241, lr = [5e-05] +[2024-05-21 18:09:58,792] - INFO: Epoch 1056/9999, Iter 105560: Loss = 0.0073065306060016155, lr = [5e-05] +[2024-05-21 18:10:19,746] - INFO: Epoch 1056/9999, Iter 105580: Loss = 0.01893952116370201, lr = [5e-05] +[2024-05-21 18:11:02,034] - INFO: Epoch 1057/9999, Iter 105600: Loss = 0.006691473536193371, lr = [5e-05] +[2024-05-21 18:11:32,220] - INFO: Epoch 1057/9999, Iter 105620: Loss = 0.014111535623669624, lr = [5e-05] +[2024-05-21 18:12:03,523] - INFO: Epoch 1057/9999, Iter 105640: Loss = 0.018702281638979912, lr = [5e-05] +[2024-05-21 18:12:36,176] - INFO: Epoch 1057/9999, Iter 105660: Loss = 0.017716601490974426, lr = [5e-05] +[2024-05-21 18:13:04,871] - INFO: Epoch 1057/9999, Iter 105680: Loss = 0.014893792569637299, lr = [5e-05] +[2024-05-21 18:13:52,434] - INFO: Epoch 1058/9999, Iter 105700: Loss = 0.017991332337260246, lr = [5e-05] +[2024-05-21 18:14:22,164] - INFO: Epoch 1058/9999, Iter 105720: Loss = 0.024233723059296608, lr = [5e-05] +[2024-05-21 18:14:52,586] - INFO: Epoch 1058/9999, Iter 105740: Loss = 0.0180019810795784, lr = [5e-05] +[2024-05-21 18:15:25,126] - INFO: Epoch 1058/9999, Iter 105760: Loss = 0.015041898936033249, lr = [5e-05] +[2024-05-21 18:15:58,261] - INFO: Epoch 1058/9999, Iter 105780: Loss = 0.007730231154710054, lr = [5e-05] +[2024-05-21 18:16:27,355] - INFO: Epoch 1059/9999, Iter 105800: Loss = 0.011189174838364124, lr = [5e-05] +[2024-05-21 18:16:41,743] - INFO: Epoch 1059/9999, Iter 105820: Loss = 0.012013331986963749, lr = [5e-05] +[2024-05-21 18:16:56,336] - INFO: Epoch 1059/9999, Iter 105840: Loss = 0.010600502602756023, lr = [5e-05] +[2024-05-21 18:17:10,768] - INFO: Epoch 1059/9999, Iter 105860: Loss = 0.014303093776106834, lr = [5e-05] +[2024-05-21 18:17:25,129] - INFO: Epoch 1059/9999, Iter 105880: Loss = 0.009919524192810059, lr = [5e-05] +[2024-05-21 18:17:56,069] - INFO: Epoch 1060/9999, Iter 105900: Loss = 0.009446640498936176, lr = [5e-05] +[2024-05-21 18:18:23,620] - INFO: Epoch 1060/9999, Iter 105920: Loss = 0.007343982346355915, lr = [5e-05] +[2024-05-21 18:18:53,629] - INFO: Epoch 1060/9999, Iter 105940: Loss = 0.0111091872677207, lr = [5e-05] +[2024-05-21 18:19:27,503] - INFO: Epoch 1060/9999, Iter 105960: Loss = 0.015402127057313919, lr = [5e-05] +[2024-05-21 18:19:58,484] - INFO: Epoch 1060/9999, Iter 105980: Loss = 0.010551356710493565, lr = [5e-05] +[2024-05-21 18:20:27,294] - INFO: Evaluate at epoch 1060! +[2024-05-21 18:22:07,835] - INFO: Eval PSNR (max): 37.995 (1060) SSIM (max): 0.9609 (1030) +[2024-05-21 18:22:08,093] - INFO: Eval PSNR (current): 37.995 (1060) SSIM (current): 0.9609 (1060) +[2024-05-21 18:22:08,093] - INFO: Evaluation over. +[2024-05-21 18:24:43,427] - INFO: Epoch 1061/9999, Iter 106000: Loss = 0.009038946591317654, lr = [5e-05] +[2024-05-21 18:25:15,637] - INFO: Epoch 1061/9999, Iter 106020: Loss = 0.0049091512337327, lr = [5e-05] +[2024-05-21 18:25:48,848] - INFO: Epoch 1061/9999, Iter 106040: Loss = 0.011690422892570496, lr = [5e-05] +[2024-05-21 18:26:06,672] - INFO: Epoch 1061/9999, Iter 106060: Loss = 0.023032961413264275, lr = [5e-05] +[2024-05-21 18:26:21,028] - INFO: Epoch 1061/9999, Iter 106080: Loss = 0.014890836551785469, lr = [5e-05] +[2024-05-21 18:26:36,944] - INFO: Epoch 1062/9999, Iter 106100: Loss = 0.010048391297459602, lr = [5e-05] +[2024-05-21 18:26:51,296] - INFO: Epoch 1062/9999, Iter 106120: Loss = 0.009583830833435059, lr = [5e-05] +[2024-05-21 18:27:05,655] - INFO: Epoch 1062/9999, Iter 106140: Loss = 0.009803622029721737, lr = [5e-05] +[2024-05-21 18:27:37,028] - INFO: Epoch 1062/9999, Iter 106160: Loss = 0.019900379702448845, lr = [5e-05] +[2024-05-21 18:28:12,529] - INFO: Epoch 1062/9999, Iter 106180: Loss = 0.012308157049119473, lr = [5e-05] +[2024-05-21 18:29:03,645] - INFO: Epoch 1063/9999, Iter 106200: Loss = 0.007235672790557146, lr = [5e-05] +[2024-05-21 18:29:38,155] - INFO: Epoch 1063/9999, Iter 106220: Loss = 0.018191590905189514, lr = [5e-05] +[2024-05-21 18:30:36,623] - INFO: Epoch 1063/9999, Iter 106240: Loss = 0.011117618530988693, lr = [5e-05] +[2024-05-21 18:31:13,531] - INFO: Epoch 1063/9999, Iter 106260: Loss = 0.011986754834651947, lr = [5e-05] +[2024-05-21 18:31:51,115] - INFO: Epoch 1063/9999, Iter 106280: Loss = 0.005664960481226444, lr = [5e-05] +[2024-05-21 18:32:40,161] - INFO: Epoch 1064/9999, Iter 106300: Loss = 0.010272701270878315, lr = [5e-05] +[2024-05-21 18:33:13,894] - INFO: Epoch 1064/9999, Iter 106320: Loss = 0.008613805286586285, lr = [5e-05] +[2024-05-21 18:33:43,025] - INFO: Epoch 1064/9999, Iter 106340: Loss = 0.012501527555286884, lr = [5e-05] +[2024-05-21 18:33:57,356] - INFO: Epoch 1064/9999, Iter 106360: Loss = 0.014519654214382172, lr = [5e-05] +[2024-05-21 18:34:11,792] - INFO: Epoch 1064/9999, Iter 106380: Loss = 0.009002319537103176, lr = [5e-05] +[2024-05-21 18:34:27,672] - INFO: Epoch 1065/9999, Iter 106400: Loss = 0.020598864182829857, lr = [5e-05] +[2024-05-21 18:34:42,044] - INFO: Epoch 1065/9999, Iter 106420: Loss = 0.010196791961789131, lr = [5e-05] +[2024-05-21 18:35:05,439] - INFO: Epoch 1065/9999, Iter 106440: Loss = 0.01000936795026064, lr = [5e-05] +[2024-05-21 18:35:42,966] - INFO: Epoch 1065/9999, Iter 106460: Loss = 0.009789848700165749, lr = [5e-05] +[2024-05-21 18:37:31,215] - INFO: Epoch 1065/9999, Iter 106480: Loss = 0.008070101030170918, lr = [5e-05] +[2024-05-21 18:38:08,881] - INFO: Evaluate at epoch 1065! +[2024-05-21 18:38:26,270] - INFO: Eval PSNR (max): 37.995 (1060) SSIM (max): 0.9609 (1030) +[2024-05-21 18:38:26,271] - INFO: Eval PSNR (current): 37.990 (1065) SSIM (current): 0.9607 (1065) +[2024-05-21 18:38:26,271] - INFO: Evaluation over. +[2024-05-21 18:39:49,299] - INFO: Epoch 1066/9999, Iter 106500: Loss = 0.018869221210479736, lr = [5e-05] +[2024-05-21 18:40:24,712] - INFO: Epoch 1066/9999, Iter 106520: Loss = 0.013380302116274834, lr = [5e-05] +[2024-05-21 18:41:01,785] - INFO: Epoch 1066/9999, Iter 106540: Loss = 0.01564556360244751, lr = [5e-05] +[2024-05-21 18:41:38,220] - INFO: Epoch 1066/9999, Iter 106560: Loss = 0.007431351114064455, lr = [5e-05] +[2024-05-21 18:42:14,125] - INFO: Epoch 1066/9999, Iter 106580: Loss = 0.015303203836083412, lr = [5e-05] +[2024-05-21 18:42:48,379] - INFO: Epoch 1067/9999, Iter 106600: Loss = 0.014211725443601608, lr = [5e-05] +[2024-05-21 18:43:02,920] - INFO: Epoch 1067/9999, Iter 106620: Loss = 0.012280868366360664, lr = [5e-05] +[2024-05-21 18:43:17,392] - INFO: Epoch 1067/9999, Iter 106640: Loss = 0.01768064871430397, lr = [5e-05] +[2024-05-21 18:43:31,769] - INFO: Epoch 1067/9999, Iter 106660: Loss = 0.010928699746727943, lr = [5e-05] +[2024-05-21 18:43:46,168] - INFO: Epoch 1067/9999, Iter 106680: Loss = 0.014968575909733772, lr = [5e-05] +[2024-05-21 18:44:23,015] - INFO: Epoch 1068/9999, Iter 106700: Loss = 0.016372868791222572, lr = [5e-05] +[2024-05-21 18:44:56,663] - INFO: Epoch 1068/9999, Iter 106720: Loss = 0.009362529031932354, lr = [5e-05] +[2024-05-21 18:45:32,861] - INFO: Epoch 1068/9999, Iter 106740: Loss = 0.007611880078911781, lr = [5e-05] +[2024-05-21 18:46:09,638] - INFO: Epoch 1068/9999, Iter 106760: Loss = 0.023479057475924492, lr = [5e-05] +[2024-05-21 18:46:42,916] - INFO: Epoch 1068/9999, Iter 106780: Loss = 0.021222352981567383, lr = [5e-05] +[2024-05-21 18:47:32,003] - INFO: Epoch 1069/9999, Iter 106800: Loss = 0.018187914043664932, lr = [5e-05] +[2024-05-21 18:48:07,255] - INFO: Epoch 1069/9999, Iter 106820: Loss = 0.015379166230559349, lr = [5e-05] +[2024-05-21 18:48:44,389] - INFO: Epoch 1069/9999, Iter 106840: Loss = 0.01858285628259182, lr = [5e-05] +[2024-05-21 18:49:20,843] - INFO: Epoch 1069/9999, Iter 106860: Loss = 0.007547562010586262, lr = [5e-05] +[2024-05-21 18:49:57,681] - INFO: Epoch 1069/9999, Iter 106880: Loss = 0.017321215942502022, lr = [5e-05] +[2024-05-21 18:50:13,435] - INFO: Epoch 1070/9999, Iter 106900: Loss = 0.02239222079515457, lr = [5e-05] +[2024-05-21 18:50:27,880] - INFO: Epoch 1070/9999, Iter 106920: Loss = 0.014243696816265583, lr = [5e-05] +[2024-05-21 18:50:43,832] - INFO: Epoch 1070/9999, Iter 106940: Loss = 0.01666036620736122, lr = [5e-05] +[2024-05-21 18:50:58,249] - INFO: Epoch 1070/9999, Iter 106960: Loss = 0.014698980376124382, lr = [5e-05] +[2024-05-21 18:51:13,385] - INFO: Epoch 1070/9999, Iter 106980: Loss = 0.017189260572195053, lr = [5e-05] +[2024-05-21 18:51:47,966] - INFO: Evaluate at epoch 1070! +[2024-05-21 18:52:06,168] - INFO: Eval PSNR (max): 37.995 (1060) SSIM (max): 0.9609 (1030) +[2024-05-21 18:52:06,169] - INFO: Eval PSNR (current): 37.985 (1070) SSIM (current): 0.9606 (1070) +[2024-05-21 18:52:06,169] - INFO: Evaluation over. +[2024-05-21 19:00:45,946] - INFO: Epoch 1071/9999, Iter 107000: Loss = 0.014119108207523823, lr = [5e-05] +[2024-05-21 19:01:10,510] - INFO: Epoch 1071/9999, Iter 107020: Loss = 0.012628639116883278, lr = [5e-05] +[2024-05-21 19:01:32,640] - INFO: Epoch 1071/9999, Iter 107040: Loss = 0.006758817005902529, lr = [5e-05] +[2024-05-21 19:01:57,322] - INFO: Epoch 1071/9999, Iter 107060: Loss = 0.01189312431961298, lr = [5e-05] +[2024-05-21 19:02:21,433] - INFO: Epoch 1071/9999, Iter 107080: Loss = 0.010816322639584541, lr = [5e-05] +[2024-05-21 19:02:53,413] - INFO: Epoch 1072/9999, Iter 107100: Loss = 0.009847020730376244, lr = [5e-05] +[2024-05-21 19:03:16,349] - INFO: Epoch 1072/9999, Iter 107120: Loss = 0.014042923226952553, lr = [5e-05] +[2024-05-21 19:03:39,951] - INFO: Epoch 1072/9999, Iter 107140: Loss = 0.015743598341941833, lr = [5e-05] +[2024-05-21 19:04:05,718] - INFO: Epoch 1072/9999, Iter 107160: Loss = 0.016301387920975685, lr = [5e-05] +[2024-05-21 19:04:30,718] - INFO: Epoch 1072/9999, Iter 107180: Loss = 0.008785356767475605, lr = [5e-05] +[2024-05-21 19:05:02,374] - INFO: Epoch 1073/9999, Iter 107200: Loss = 0.007662913762032986, lr = [5e-05] +[2024-05-21 19:05:16,892] - INFO: Epoch 1073/9999, Iter 107220: Loss = 0.007085174322128296, lr = [5e-05] +[2024-05-21 19:05:31,392] - INFO: Epoch 1073/9999, Iter 107240: Loss = 0.01041414588689804, lr = [5e-05] +[2024-05-21 19:05:45,810] - INFO: Epoch 1073/9999, Iter 107260: Loss = 0.020417336374521255, lr = [5e-05] +[2024-05-21 19:06:00,232] - INFO: Epoch 1073/9999, Iter 107280: Loss = 0.008584043011069298, lr = [5e-05] +[2024-05-21 19:06:22,016] - INFO: Epoch 1074/9999, Iter 107300: Loss = 0.005927305202931166, lr = [5e-05] +[2024-05-21 19:06:43,925] - INFO: Epoch 1074/9999, Iter 107320: Loss = 0.011454765684902668, lr = [5e-05] +[2024-05-21 19:07:08,435] - INFO: Epoch 1074/9999, Iter 107340: Loss = 0.01946764625608921, lr = [5e-05] +[2024-05-21 19:07:34,221] - INFO: Epoch 1074/9999, Iter 107360: Loss = 0.004375974182039499, lr = [5e-05] +[2024-05-21 19:08:00,776] - INFO: Epoch 1074/9999, Iter 107380: Loss = 0.018476178869605064, lr = [5e-05] +[2024-05-21 19:08:33,154] - INFO: Epoch 1075/9999, Iter 107400: Loss = 0.011592266149818897, lr = [5e-05] +[2024-05-21 19:08:55,428] - INFO: Epoch 1075/9999, Iter 107420: Loss = 0.005448071751743555, lr = [5e-05] +[2024-05-21 19:09:20,204] - INFO: Epoch 1075/9999, Iter 107440: Loss = 0.013513202778995037, lr = [5e-05] +[2024-05-21 19:09:45,835] - INFO: Epoch 1075/9999, Iter 107460: Loss = 0.019757790490984917, lr = [5e-05] +[2024-05-21 19:11:07,551] - INFO: Epoch 1075/9999, Iter 107480: Loss = 0.008194046095013618, lr = [5e-05] +[2024-05-21 19:11:34,000] - INFO: Evaluate at epoch 1075! +[2024-05-21 19:11:45,046] - INFO: Eval PSNR (max): 37.995 (1060) SSIM (max): 0.9609 (1030) +[2024-05-21 19:11:45,046] - INFO: Eval PSNR (current): 37.983 (1075) SSIM (current): 0.9609 (1075) +[2024-05-21 19:11:45,046] - INFO: Evaluation over. +[2024-05-21 19:13:20,984] - INFO: Epoch 1076/9999, Iter 107500: Loss = 0.014276731759309769, lr = [5e-05] +[2024-05-21 19:13:46,500] - INFO: Epoch 1076/9999, Iter 107520: Loss = 0.025853917002677917, lr = [5e-05] +[2024-05-21 19:14:06,704] - INFO: Epoch 1076/9999, Iter 107540: Loss = 0.011626199819147587, lr = [5e-05] +[2024-05-21 19:14:20,996] - INFO: Epoch 1076/9999, Iter 107560: Loss = 0.011135715059936047, lr = [5e-05] +[2024-05-21 19:14:35,552] - INFO: Epoch 1076/9999, Iter 107580: Loss = 0.021418632939457893, lr = [5e-05] +[2024-05-21 19:14:51,218] - INFO: Epoch 1077/9999, Iter 107600: Loss = 0.015958096832036972, lr = [5e-05] +[2024-05-21 19:15:05,456] - INFO: Epoch 1077/9999, Iter 107620: Loss = 0.0083168875426054, lr = [5e-05] +[2024-05-21 19:15:27,023] - INFO: Epoch 1077/9999, Iter 107640: Loss = 0.011155921034514904, lr = [5e-05] +[2024-05-21 19:15:54,325] - INFO: Epoch 1077/9999, Iter 107660: Loss = 0.013427446596324444, lr = [5e-05] +[2024-05-21 19:16:50,055] - INFO: Epoch 1077/9999, Iter 107680: Loss = 0.014520780183374882, lr = [5e-05] +[2024-05-21 19:17:27,411] - INFO: Epoch 1078/9999, Iter 107700: Loss = 0.013894927687942982, lr = [5e-05] +[2024-05-21 19:17:55,170] - INFO: Epoch 1078/9999, Iter 107720: Loss = 0.017405381426215172, lr = [5e-05] +[2024-05-21 19:18:19,673] - INFO: Epoch 1078/9999, Iter 107740: Loss = 0.012982447631657124, lr = [5e-05] +[2024-05-21 19:18:48,856] - INFO: Epoch 1078/9999, Iter 107760: Loss = 0.013971155509352684, lr = [5e-05] +[2024-05-21 19:19:16,582] - INFO: Epoch 1078/9999, Iter 107780: Loss = 0.013347633183002472, lr = [5e-05] +[2024-05-21 19:19:52,956] - INFO: Epoch 1079/9999, Iter 107800: Loss = 0.01024472527205944, lr = [5e-05] +[2024-05-21 19:20:19,224] - INFO: Epoch 1079/9999, Iter 107820: Loss = 0.01636987365782261, lr = [5e-05] +[2024-05-21 19:20:47,173] - INFO: Epoch 1079/9999, Iter 107840: Loss = 0.013830180279910564, lr = [5e-05] +[2024-05-21 19:21:15,354] - INFO: Epoch 1079/9999, Iter 107860: Loss = 0.011714725755155087, lr = [5e-05] +[2024-05-21 19:21:44,856] - INFO: Epoch 1079/9999, Iter 107880: Loss = 0.011066364124417305, lr = [5e-05] +[2024-05-21 19:22:00,636] - INFO: Epoch 1080/9999, Iter 107900: Loss = 0.013682550750672817, lr = [5e-05] +[2024-05-21 19:22:15,143] - INFO: Epoch 1080/9999, Iter 107920: Loss = 0.011409096419811249, lr = [5e-05] +[2024-05-21 19:22:29,585] - INFO: Epoch 1080/9999, Iter 107940: Loss = 0.017537200823426247, lr = [5e-05] +[2024-05-21 19:22:44,080] - INFO: Epoch 1080/9999, Iter 107960: Loss = 0.01687314733862877, lr = [5e-05] +[2024-05-21 19:23:01,031] - INFO: Epoch 1080/9999, Iter 107980: Loss = 0.011037423275411129, lr = [5e-05] +[2024-05-21 19:23:28,330] - INFO: Evaluate at epoch 1080! +[2024-05-21 19:23:41,171] - INFO: Eval PSNR (max): 37.995 (1060) SSIM (max): 0.9609 (1030) +[2024-05-21 19:23:41,171] - INFO: Eval PSNR (current): 37.940 (1080) SSIM (current): 0.9604 (1080) +[2024-05-21 19:23:41,171] - INFO: Evaluation over. +[2024-05-21 19:25:20,429] - INFO: Epoch 1081/9999, Iter 108000: Loss = 0.020344272255897522, lr = [5e-05] +[2024-05-21 19:25:48,566] - INFO: Epoch 1081/9999, Iter 108020: Loss = 0.01294894888997078, lr = [5e-05] +[2024-05-21 19:26:15,124] - INFO: Epoch 1081/9999, Iter 108040: Loss = 0.005688557866960764, lr = [5e-05] +[2024-05-21 19:26:41,513] - INFO: Epoch 1081/9999, Iter 108060: Loss = 0.018894871696829796, lr = [5e-05] +[2024-05-21 19:27:10,132] - INFO: Epoch 1081/9999, Iter 108080: Loss = 0.008322772569954395, lr = [5e-05] +[2024-05-21 19:27:46,209] - INFO: Epoch 1082/9999, Iter 108100: Loss = 0.008904749527573586, lr = [5e-05] +[2024-05-21 19:28:12,706] - INFO: Epoch 1082/9999, Iter 108120: Loss = 0.01106506772339344, lr = [5e-05] +[2024-05-21 19:28:40,719] - INFO: Epoch 1082/9999, Iter 108140: Loss = 0.015487326309084892, lr = [5e-05] +[2024-05-21 19:29:09,510] - INFO: Epoch 1082/9999, Iter 108160: Loss = 0.011941413395106792, lr = [5e-05] +[2024-05-21 19:29:38,255] - INFO: Epoch 1082/9999, Iter 108180: Loss = 0.01236139889806509, lr = [5e-05] +[2024-05-21 19:29:56,851] - INFO: Epoch 1083/9999, Iter 108200: Loss = 0.018726572394371033, lr = [5e-05] +[2024-05-21 19:30:11,380] - INFO: Epoch 1083/9999, Iter 108220: Loss = 0.02133886329829693, lr = [5e-05] +[2024-05-21 19:30:25,845] - INFO: Epoch 1083/9999, Iter 108240: Loss = 0.01872152090072632, lr = [5e-05] +[2024-05-21 19:30:40,356] - INFO: Epoch 1083/9999, Iter 108260: Loss = 0.00742900837212801, lr = [5e-05] +[2024-05-21 19:30:54,801] - INFO: Epoch 1083/9999, Iter 108280: Loss = 0.02018951065838337, lr = [5e-05] +[2024-05-21 19:31:31,592] - INFO: Epoch 1084/9999, Iter 108300: Loss = 0.014191919006407261, lr = [5e-05] +[2024-05-21 19:31:59,462] - INFO: Epoch 1084/9999, Iter 108320: Loss = 0.012435744516551495, lr = [5e-05] +[2024-05-21 19:32:29,784] - INFO: Epoch 1084/9999, Iter 108340: Loss = 0.014574481174349785, lr = [5e-05] +[2024-05-21 19:32:59,898] - INFO: Epoch 1084/9999, Iter 108360: Loss = 0.005870566703379154, lr = [5e-05] +[2024-05-21 19:33:31,515] - INFO: Epoch 1084/9999, Iter 108380: Loss = 0.019209137186408043, lr = [5e-05] +[2024-05-21 19:34:07,299] - INFO: Epoch 1085/9999, Iter 108400: Loss = 0.012060178443789482, lr = [5e-05] +[2024-05-21 19:34:33,204] - INFO: Epoch 1085/9999, Iter 108420: Loss = 0.01401932816952467, lr = [5e-05] +[2024-05-21 19:35:02,650] - INFO: Epoch 1085/9999, Iter 108440: Loss = 0.011049656197428703, lr = [5e-05] +[2024-05-21 19:35:32,578] - INFO: Epoch 1085/9999, Iter 108460: Loss = 0.013457982800900936, lr = [5e-05] +[2024-05-21 19:36:01,748] - INFO: Epoch 1085/9999, Iter 108480: Loss = 0.010535121895372868, lr = [5e-05] +[2024-05-21 19:36:30,950] - INFO: Evaluate at epoch 1085! +[2024-05-21 19:36:44,595] - INFO: Eval PSNR (max): 37.995 (1060) SSIM (max): 0.9609 (1030) +[2024-05-21 19:36:44,595] - INFO: Eval PSNR (current): 37.981 (1085) SSIM (current): 0.9608 (1085) +[2024-05-21 19:36:44,595] - INFO: Evaluation over. +[2024-05-21 19:37:47,436] - INFO: Epoch 1086/9999, Iter 108500: Loss = 0.013723832555115223, lr = [5e-05] +[2024-05-21 19:38:01,708] - INFO: Epoch 1086/9999, Iter 108520: Loss = 0.017112156376242638, lr = [5e-05] +[2024-05-21 19:38:16,070] - INFO: Epoch 1086/9999, Iter 108540: Loss = 0.007417773827910423, lr = [5e-05] +[2024-05-21 19:38:30,308] - INFO: Epoch 1086/9999, Iter 108560: Loss = 0.012555064633488655, lr = [5e-05] +[2024-05-21 19:38:44,652] - INFO: Epoch 1086/9999, Iter 108580: Loss = 0.021602753549814224, lr = [5e-05] +[2024-05-21 19:39:13,944] - INFO: Epoch 1087/9999, Iter 108600: Loss = 0.010462301783263683, lr = [5e-05] +[2024-05-21 19:39:38,101] - INFO: Epoch 1087/9999, Iter 108620: Loss = 0.014560905285179615, lr = [5e-05] +[2024-05-21 19:40:08,395] - INFO: Epoch 1087/9999, Iter 108640: Loss = 0.012665186077356339, lr = [5e-05] +[2024-05-21 19:40:36,639] - INFO: Epoch 1087/9999, Iter 108660: Loss = 0.02149425446987152, lr = [5e-05] +[2024-05-21 19:41:08,431] - INFO: Epoch 1087/9999, Iter 108680: Loss = 0.01214907132089138, lr = [5e-05] +[2024-05-21 19:41:45,544] - INFO: Epoch 1088/9999, Iter 108700: Loss = 0.016563083976507187, lr = [5e-05] +[2024-05-21 19:42:12,368] - INFO: Epoch 1088/9999, Iter 108720: Loss = 0.010096427984535694, lr = [5e-05] +[2024-05-21 19:42:42,761] - INFO: Epoch 1088/9999, Iter 108740: Loss = 0.010134800337255001, lr = [5e-05] +[2024-05-21 19:43:14,927] - INFO: Epoch 1088/9999, Iter 108760: Loss = 0.02483510412275791, lr = [5e-05] +[2024-05-21 19:43:45,225] - INFO: Epoch 1088/9999, Iter 108780: Loss = 0.014889043755829334, lr = [5e-05] +[2024-05-21 19:44:26,590] - INFO: Epoch 1089/9999, Iter 108800: Loss = 0.014770889654755592, lr = [5e-05] +[2024-05-21 19:44:56,252] - INFO: Epoch 1089/9999, Iter 108820: Loss = 0.007143575698137283, lr = [5e-05] +[2024-05-21 19:45:12,470] - INFO: Epoch 1089/9999, Iter 108840: Loss = 0.01720867119729519, lr = [5e-05] +[2024-05-21 19:45:26,906] - INFO: Epoch 1089/9999, Iter 108860: Loss = 0.022916510701179504, lr = [5e-05] +[2024-05-21 19:45:41,274] - INFO: Epoch 1089/9999, Iter 108880: Loss = 0.013046138919889927, lr = [5e-05] +[2024-05-21 19:45:56,831] - INFO: Epoch 1090/9999, Iter 108900: Loss = 0.017133427783846855, lr = [5e-05] +[2024-05-21 19:46:11,632] - INFO: Epoch 1090/9999, Iter 108920: Loss = 0.011930273845791817, lr = [5e-05] +[2024-05-21 19:46:38,051] - INFO: Epoch 1090/9999, Iter 108940: Loss = 0.007865356281399727, lr = [5e-05] +[2024-05-21 19:47:08,217] - INFO: Epoch 1090/9999, Iter 108960: Loss = 0.018076283857226372, lr = [5e-05] +[2024-05-21 19:47:37,807] - INFO: Epoch 1090/9999, Iter 108980: Loss = 0.008003544062376022, lr = [5e-05] +[2024-05-21 19:48:06,663] - INFO: Evaluate at epoch 1090! +[2024-05-21 19:51:09,082] - INFO: Eval PSNR (max): 38.005 (1090) SSIM (max): 0.9609 (1090) +[2024-05-21 19:51:09,352] - INFO: Eval PSNR (current): 38.005 (1090) SSIM (current): 0.9609 (1090) +[2024-05-21 19:51:09,352] - INFO: Evaluation over. +[2024-05-21 19:52:49,651] - INFO: Epoch 1091/9999, Iter 109000: Loss = 0.01590082235634327, lr = [5e-05] +[2024-05-21 19:53:20,252] - INFO: Epoch 1091/9999, Iter 109020: Loss = 0.014050452969968319, lr = [5e-05] +[2024-05-21 19:53:50,495] - INFO: Epoch 1091/9999, Iter 109040: Loss = 0.012592614628374577, lr = [5e-05] +[2024-05-21 19:54:19,772] - INFO: Epoch 1091/9999, Iter 109060: Loss = 0.011471076868474483, lr = [5e-05] +[2024-05-21 19:54:34,424] - INFO: Epoch 1091/9999, Iter 109080: Loss = 0.011327129788696766, lr = [5e-05] +[2024-05-21 19:54:49,840] - INFO: Epoch 1092/9999, Iter 109100: Loss = 0.009730511344969273, lr = [5e-05] +[2024-05-21 19:55:04,206] - INFO: Epoch 1092/9999, Iter 109120: Loss = 0.014403345063328743, lr = [5e-05] +[2024-05-21 19:55:18,569] - INFO: Epoch 1092/9999, Iter 109140: Loss = 0.01574516110122204, lr = [5e-05] +[2024-05-21 19:55:32,956] - INFO: Epoch 1092/9999, Iter 109160: Loss = 0.0077088819816708565, lr = [5e-05] +[2024-05-21 19:56:02,911] - INFO: Epoch 1092/9999, Iter 109180: Loss = 0.010328691452741623, lr = [5e-05] +[2024-05-21 19:56:41,194] - INFO: Epoch 1093/9999, Iter 109200: Loss = 0.012069308198988438, lr = [5e-05] +[2024-05-21 19:57:10,245] - INFO: Epoch 1093/9999, Iter 109220: Loss = 0.013697762973606586, lr = [5e-05] +[2024-05-21 19:57:39,680] - INFO: Epoch 1093/9999, Iter 109240: Loss = 0.01719697378575802, lr = [5e-05] +[2024-05-21 19:58:09,011] - INFO: Epoch 1093/9999, Iter 109260: Loss = 0.016008254140615463, lr = [5e-05] +[2024-05-21 19:58:36,022] - INFO: Epoch 1093/9999, Iter 109280: Loss = 0.015144878067076206, lr = [5e-05] +[2024-05-21 19:59:14,815] - INFO: Epoch 1094/9999, Iter 109300: Loss = 0.010118651203811169, lr = [5e-05] +[2024-05-21 19:59:41,189] - INFO: Epoch 1094/9999, Iter 109320: Loss = 0.016576997935771942, lr = [5e-05] +[2024-05-21 20:00:10,738] - INFO: Epoch 1094/9999, Iter 109340: Loss = 0.007321469485759735, lr = [5e-05] +[2024-05-21 20:00:40,197] - INFO: Epoch 1094/9999, Iter 109360: Loss = 0.006463376339524984, lr = [5e-05] +[2024-05-21 20:01:10,035] - INFO: Epoch 1094/9999, Iter 109380: Loss = 0.010404646396636963, lr = [5e-05] +[2024-05-21 20:01:40,703] - INFO: Epoch 1095/9999, Iter 109400: Loss = 0.010183023288846016, lr = [5e-05] +[2024-05-21 20:01:55,206] - INFO: Epoch 1095/9999, Iter 109420: Loss = 0.021272340789437294, lr = [5e-05] +[2024-05-21 20:02:09,772] - INFO: Epoch 1095/9999, Iter 109440: Loss = 0.014014696702361107, lr = [5e-05] +[2024-05-21 20:02:24,244] - INFO: Epoch 1095/9999, Iter 109460: Loss = 0.013353697024285793, lr = [5e-05] +[2024-05-21 20:02:38,620] - INFO: Epoch 1095/9999, Iter 109480: Loss = 0.011767883785068989, lr = [5e-05] +[2024-05-21 20:02:53,332] - INFO: Evaluate at epoch 1095! +[2024-05-21 20:03:06,880] - INFO: Eval PSNR (max): 38.005 (1090) SSIM (max): 0.9609 (1090) +[2024-05-21 20:03:06,880] - INFO: Eval PSNR (current): 37.952 (1095) SSIM (current): 0.9605 (1095) +[2024-05-21 20:03:06,881] - INFO: Evaluation over. +[2024-05-21 20:04:46,280] - INFO: Epoch 1096/9999, Iter 109500: Loss = 0.01650095358490944, lr = [5e-05] +[2024-05-21 20:05:18,022] - INFO: Epoch 1096/9999, Iter 109520: Loss = 0.01571177877485752, lr = [5e-05] +[2024-05-21 20:05:48,936] - INFO: Epoch 1096/9999, Iter 109540: Loss = 0.009645647369325161, lr = [5e-05] +[2024-05-21 20:06:16,493] - INFO: Epoch 1096/9999, Iter 109560: Loss = 0.011416845954954624, lr = [5e-05] +[2024-05-21 20:06:46,924] - INFO: Epoch 1096/9999, Iter 109580: Loss = 0.011644798330962658, lr = [5e-05] +[2024-05-21 20:07:24,279] - INFO: Epoch 1097/9999, Iter 109600: Loss = 0.016636980697512627, lr = [5e-05] +[2024-05-21 20:07:50,752] - INFO: Epoch 1097/9999, Iter 109620: Loss = 0.01636223867535591, lr = [5e-05] +[2024-05-21 20:08:19,271] - INFO: Epoch 1097/9999, Iter 109640: Loss = 0.011259500868618488, lr = [5e-05] +[2024-05-21 20:08:51,120] - INFO: Epoch 1097/9999, Iter 109660: Loss = 0.010405492037534714, lr = [5e-05] +[2024-05-21 20:09:20,917] - INFO: Epoch 1097/9999, Iter 109680: Loss = 0.012214288115501404, lr = [5e-05] +[2024-05-21 20:09:46,236] - INFO: Epoch 1098/9999, Iter 109700: Loss = 0.009091813117265701, lr = [5e-05] +[2024-05-21 20:10:00,958] - INFO: Epoch 1098/9999, Iter 109720: Loss = 0.008658182807266712, lr = [5e-05] +[2024-05-21 20:10:15,400] - INFO: Epoch 1098/9999, Iter 109740: Loss = 0.007436360698193312, lr = [5e-05] +[2024-05-21 20:10:29,773] - INFO: Epoch 1098/9999, Iter 109760: Loss = 0.017774445936083794, lr = [5e-05] +[2024-05-21 20:10:44,225] - INFO: Epoch 1098/9999, Iter 109780: Loss = 0.008564593270421028, lr = [5e-05] +[2024-05-21 20:11:13,314] - INFO: Epoch 1099/9999, Iter 109800: Loss = 0.01135961152613163, lr = [5e-05] +[2024-05-21 20:11:37,765] - INFO: Epoch 1099/9999, Iter 109820: Loss = 0.01259500440210104, lr = [5e-05] +[2024-05-21 20:12:06,279] - INFO: Epoch 1099/9999, Iter 109840: Loss = 0.011805987916886806, lr = [5e-05] +[2024-05-21 20:12:36,380] - INFO: Epoch 1099/9999, Iter 109860: Loss = 0.011149094440042973, lr = [5e-05] +[2024-05-21 20:13:06,687] - INFO: Epoch 1099/9999, Iter 109880: Loss = 0.01372765377163887, lr = [5e-05] +[2024-05-21 20:14:11,417] - INFO: Epoch 1100/9999, Iter 109900: Loss = 0.019760189577937126, lr = [5e-05] +[2024-05-21 20:14:41,904] - INFO: Epoch 1100/9999, Iter 109920: Loss = 0.015351507812738419, lr = [5e-05] +[2024-05-21 20:15:13,241] - INFO: Epoch 1100/9999, Iter 109940: Loss = 0.015456302091479301, lr = [5e-05] +[2024-05-21 20:15:43,619] - INFO: Epoch 1100/9999, Iter 109960: Loss = 0.013562927022576332, lr = [5e-05] +[2024-05-21 20:16:14,972] - INFO: Epoch 1100/9999, Iter 109980: Loss = 0.008576738648116589, lr = [5e-05] +[2024-05-21 20:16:43,328] - INFO: Evaluate at epoch 1100! +[2024-05-21 20:16:56,670] - INFO: Eval PSNR (max): 38.005 (1090) SSIM (max): 0.9609 (1090) +[2024-05-21 20:16:56,670] - INFO: Eval PSNR (current): 37.990 (1100) SSIM (current): 0.9609 (1100) +[2024-05-21 20:16:56,670] - INFO: Evaluation over. +[2024-05-21 20:18:09,343] - INFO: Epoch 1101/9999, Iter 110000: Loss = 0.006492859683930874, lr = [5e-05] +[2024-05-21 20:18:23,572] - INFO: Epoch 1101/9999, Iter 110020: Loss = 0.01842593029141426, lr = [5e-05] +[2024-05-21 20:18:37,820] - INFO: Epoch 1101/9999, Iter 110040: Loss = 0.00900551863014698, lr = [5e-05] +[2024-05-21 20:18:52,217] - INFO: Epoch 1101/9999, Iter 110060: Loss = 0.02017589472234249, lr = [5e-05] +[2024-05-21 20:19:06,535] - INFO: Epoch 1101/9999, Iter 110080: Loss = 0.014749977737665176, lr = [5e-05] +[2024-05-21 20:19:34,026] - INFO: Epoch 1102/9999, Iter 110100: Loss = 0.007359360344707966, lr = [5e-05] +[2024-05-21 20:20:00,078] - INFO: Epoch 1102/9999, Iter 110120: Loss = 0.016816049814224243, lr = [5e-05] +[2024-05-21 20:20:30,716] - INFO: Epoch 1102/9999, Iter 110140: Loss = 0.014517627656459808, lr = [5e-05] +[2024-05-21 20:21:00,796] - INFO: Epoch 1102/9999, Iter 110160: Loss = 0.02409786731004715, lr = [5e-05] +[2024-05-21 20:21:33,323] - INFO: Epoch 1102/9999, Iter 110180: Loss = 0.012841641902923584, lr = [5e-05] +[2024-05-21 20:22:11,060] - INFO: Epoch 1103/9999, Iter 110200: Loss = 0.011274919845163822, lr = [5e-05] +[2024-05-21 20:22:38,582] - INFO: Epoch 1103/9999, Iter 110220: Loss = 0.01522696204483509, lr = [5e-05] +[2024-05-21 20:23:07,924] - INFO: Epoch 1103/9999, Iter 110240: Loss = 0.012872368097305298, lr = [5e-05] +[2024-05-21 20:24:32,743] - INFO: Epoch 1103/9999, Iter 110260: Loss = 0.011736715212464333, lr = [5e-05] +[2024-05-21 20:25:02,756] - INFO: Epoch 1103/9999, Iter 110280: Loss = 0.012020603753626347, lr = [5e-05] +[2024-05-21 20:25:41,241] - INFO: Epoch 1104/9999, Iter 110300: Loss = 0.016134556382894516, lr = [5e-05] +[2024-05-21 20:26:08,058] - INFO: Epoch 1104/9999, Iter 110320: Loss = 0.011108380742371082, lr = [5e-05] +[2024-05-21 20:26:25,929] - INFO: Epoch 1104/9999, Iter 110340: Loss = 0.01294008269906044, lr = [5e-05] +[2024-05-21 20:26:40,357] - INFO: Epoch 1104/9999, Iter 110360: Loss = 0.021338244900107384, lr = [5e-05] +[2024-05-21 20:26:54,744] - INFO: Epoch 1104/9999, Iter 110380: Loss = 0.015677448362112045, lr = [5e-05] +[2024-05-21 20:27:10,234] - INFO: Epoch 1105/9999, Iter 110400: Loss = 0.018524546176195145, lr = [5e-05] +[2024-05-21 20:27:24,575] - INFO: Epoch 1105/9999, Iter 110420: Loss = 0.008143429644405842, lr = [5e-05] +[2024-05-21 20:27:56,634] - INFO: Epoch 1105/9999, Iter 110440: Loss = 0.0183474849909544, lr = [5e-05] +[2024-05-21 20:28:34,478] - INFO: Epoch 1105/9999, Iter 110460: Loss = 0.021989142522215843, lr = [5e-05] +[2024-05-21 20:29:12,583] - INFO: Epoch 1105/9999, Iter 110480: Loss = 0.008636579848825932, lr = [5e-05] +[2024-05-21 20:29:48,679] - INFO: Evaluate at epoch 1105! +[2024-05-21 20:31:30,801] - INFO: Eval PSNR (max): 38.015 (1105) SSIM (max): 0.9609 (1090) +[2024-05-21 20:31:31,162] - INFO: Eval PSNR (current): 38.015 (1105) SSIM (current): 0.9609 (1105) +[2024-05-21 20:31:31,163] - INFO: Evaluation over. +[2024-05-21 20:33:16,759] - INFO: Epoch 1106/9999, Iter 110500: Loss = 0.01875927299261093, lr = [5e-05] +[2024-05-21 20:33:53,992] - INFO: Epoch 1106/9999, Iter 110520: Loss = 0.008654414676129818, lr = [5e-05] +[2024-05-21 20:34:31,367] - INFO: Epoch 1106/9999, Iter 110540: Loss = 0.02490755170583725, lr = [5e-05] +[2024-05-21 20:34:58,523] - INFO: Epoch 1106/9999, Iter 110560: Loss = 0.0177412498742342, lr = [5e-05] +[2024-05-21 20:35:12,848] - INFO: Epoch 1106/9999, Iter 110580: Loss = 0.012870131991803646, lr = [5e-05] +[2024-05-21 20:35:28,720] - INFO: Epoch 1107/9999, Iter 110600: Loss = 0.016398735344409943, lr = [5e-05] +[2024-05-21 20:35:43,150] - INFO: Epoch 1107/9999, Iter 110620: Loss = 0.011351398192346096, lr = [5e-05] +[2024-05-21 20:35:57,536] - INFO: Epoch 1107/9999, Iter 110640: Loss = 0.013372844085097313, lr = [5e-05] +[2024-05-21 20:36:23,553] - INFO: Epoch 1107/9999, Iter 110660: Loss = 0.010763662867248058, lr = [5e-05] +[2024-05-21 20:37:03,357] - INFO: Epoch 1107/9999, Iter 110680: Loss = 0.010231717489659786, lr = [5e-05] +[2024-05-21 20:37:55,501] - INFO: Epoch 1108/9999, Iter 110700: Loss = 0.019109603017568588, lr = [5e-05] +[2024-05-21 20:38:32,231] - INFO: Epoch 1108/9999, Iter 110720: Loss = 0.010721557773649693, lr = [5e-05] +[2024-05-21 20:39:05,773] - INFO: Epoch 1108/9999, Iter 110740: Loss = 0.013845234178006649, lr = [5e-05] +[2024-05-21 20:39:44,269] - INFO: Epoch 1108/9999, Iter 110760: Loss = 0.010679161176085472, lr = [5e-05] +[2024-05-21 20:40:21,997] - INFO: Epoch 1108/9999, Iter 110780: Loss = 0.01895451359450817, lr = [5e-05] +[2024-05-21 20:41:13,228] - INFO: Epoch 1109/9999, Iter 110800: Loss = 0.02172466553747654, lr = [5e-05] +[2024-05-21 20:41:48,434] - INFO: Epoch 1109/9999, Iter 110820: Loss = 0.01484390813857317, lr = [5e-05] +[2024-05-21 20:42:15,957] - INFO: Epoch 1109/9999, Iter 110840: Loss = 0.010995746590197086, lr = [5e-05] +[2024-05-21 20:42:30,340] - INFO: Epoch 1109/9999, Iter 110860: Loss = 0.01763242669403553, lr = [5e-05] +[2024-05-21 20:42:44,741] - INFO: Epoch 1109/9999, Iter 110880: Loss = 0.01792837865650654, lr = [5e-05] +[2024-05-21 20:43:00,575] - INFO: Epoch 1110/9999, Iter 110900: Loss = 0.0144269447773695, lr = [5e-05] +[2024-05-21 20:43:30,680] - INFO: Epoch 1110/9999, Iter 110920: Loss = 0.012582034803926945, lr = [5e-05] +[2024-05-21 20:44:06,162] - INFO: Epoch 1110/9999, Iter 110940: Loss = 0.021900292485952377, lr = [5e-05] +[2024-05-21 20:44:43,587] - INFO: Epoch 1110/9999, Iter 110960: Loss = 0.014808082021772861, lr = [5e-05] +[2024-05-21 20:45:21,385] - INFO: Epoch 1110/9999, Iter 110980: Loss = 0.015259403735399246, lr = [5e-05] +[2024-05-21 20:45:46,808] - INFO: Evaluate at epoch 1110! +[2024-05-21 20:45:51,804] - INFO: Eval PSNR (max): 38.015 (1105) SSIM (max): 0.9609 (1090) +[2024-05-21 20:45:51,805] - INFO: Eval PSNR (current): 38.008 (1110) SSIM (current): 0.9609 (1110) +[2024-05-21 20:45:51,805] - INFO: Evaluation over. +[2024-05-21 20:46:37,232] - INFO: Epoch 1111/9999, Iter 111000: Loss = 0.011951396241784096, lr = [5e-05] +[2024-05-21 20:46:51,503] - INFO: Epoch 1111/9999, Iter 111020: Loss = 0.014356408268213272, lr = [5e-05] +[2024-05-21 20:47:05,852] - INFO: Epoch 1111/9999, Iter 111040: Loss = 0.010035513900220394, lr = [5e-05] +[2024-05-21 20:47:20,294] - INFO: Epoch 1111/9999, Iter 111060: Loss = 0.01300748623907566, lr = [5e-05] +[2024-05-21 20:47:34,614] - INFO: Epoch 1111/9999, Iter 111080: Loss = 0.01252546813338995, lr = [5e-05] +[2024-05-21 20:47:50,392] - INFO: Epoch 1112/9999, Iter 111100: Loss = 0.012959621846675873, lr = [5e-05] +[2024-05-21 20:48:04,973] - INFO: Epoch 1112/9999, Iter 111120: Loss = 0.009036813862621784, lr = [5e-05] +[2024-05-21 20:48:19,528] - INFO: Epoch 1112/9999, Iter 111140: Loss = 0.014951140619814396, lr = [5e-05] +[2024-05-21 20:48:34,067] - INFO: Epoch 1112/9999, Iter 111160: Loss = 0.021331846714019775, lr = [5e-05] +[2024-05-21 20:48:48,571] - INFO: Epoch 1112/9999, Iter 111180: Loss = 0.008317509666085243, lr = [5e-05] +[2024-05-21 20:49:04,541] - INFO: Epoch 1113/9999, Iter 111200: Loss = 0.017315533012151718, lr = [5e-05] +[2024-05-21 20:49:19,117] - INFO: Epoch 1113/9999, Iter 111220: Loss = 0.01577587239444256, lr = [5e-05] +[2024-05-21 20:49:33,787] - INFO: Epoch 1113/9999, Iter 111240: Loss = 0.023028744384646416, lr = [5e-05] +[2024-05-21 20:49:48,416] - INFO: Epoch 1113/9999, Iter 111260: Loss = 0.01731487736105919, lr = [5e-05] +[2024-05-21 20:50:03,088] - INFO: Epoch 1113/9999, Iter 111280: Loss = 0.024010702967643738, lr = [5e-05] +[2024-05-21 20:50:19,017] - INFO: Epoch 1114/9999, Iter 111300: Loss = 0.024458087980747223, lr = [5e-05] +[2024-05-21 20:50:33,700] - INFO: Epoch 1114/9999, Iter 111320: Loss = 0.004996081814169884, lr = [5e-05] +[2024-05-21 20:50:48,396] - INFO: Epoch 1114/9999, Iter 111340: Loss = 0.010881107300519943, lr = [5e-05] +[2024-05-21 20:51:03,208] - INFO: Epoch 1114/9999, Iter 111360: Loss = 0.011308658868074417, lr = [5e-05] +[2024-05-21 20:51:17,944] - INFO: Epoch 1114/9999, Iter 111380: Loss = 0.012869630940258503, lr = [5e-05] +[2024-05-21 20:51:36,394] - INFO: Epoch 1115/9999, Iter 111400: Loss = 0.01290887501090765, lr = [5e-05] +[2024-05-21 20:51:54,288] - INFO: Epoch 1115/9999, Iter 111420: Loss = 0.007686099037528038, lr = [5e-05] +[2024-05-21 20:52:08,935] - INFO: Epoch 1115/9999, Iter 111440: Loss = 0.012029986828565598, lr = [5e-05] +[2024-05-21 20:59:13,879] - INFO: Epoch 1115/9999, Iter 111460: Loss = 0.009502631612122059, lr = [5e-05] +[2024-05-21 20:59:28,111] - INFO: Epoch 1115/9999, Iter 111480: Loss = 0.009174545295536518, lr = [5e-05] +[2024-05-21 20:59:41,962] - INFO: Evaluate at epoch 1115! +[2024-05-21 20:59:46,932] - INFO: Eval PSNR (max): 38.015 (1105) SSIM (max): 0.9609 (1090) +[2024-05-21 20:59:46,932] - INFO: Eval PSNR (current): 38.006 (1115) SSIM (current): 0.9609 (1115) +[2024-05-21 20:59:46,932] - INFO: Evaluation over. +[2024-05-21 21:00:33,529] - INFO: Epoch 1116/9999, Iter 111500: Loss = 0.01579124480485916, lr = [5e-05] +[2024-05-21 21:00:47,739] - INFO: Epoch 1116/9999, Iter 111520: Loss = 0.014240107499063015, lr = [5e-05] +[2024-05-21 21:01:02,004] - INFO: Epoch 1116/9999, Iter 111540: Loss = 0.0076871900819242, lr = [5e-05] +[2024-05-21 21:01:16,360] - INFO: Epoch 1116/9999, Iter 111560: Loss = 0.019839143380522728, lr = [5e-05] +[2024-05-21 21:01:30,661] - INFO: Epoch 1116/9999, Iter 111580: Loss = 0.005513994954526424, lr = [5e-05] +[2024-05-21 21:01:46,238] - INFO: Epoch 1117/9999, Iter 111600: Loss = 0.008563537150621414, lr = [5e-05] +[2024-05-21 21:02:00,619] - INFO: Epoch 1117/9999, Iter 111620: Loss = 0.013949922285974026, lr = [5e-05] +[2024-05-21 21:02:15,059] - INFO: Epoch 1117/9999, Iter 111640: Loss = 0.011204780079424381, lr = [5e-05] +[2024-05-21 21:02:29,536] - INFO: Epoch 1117/9999, Iter 111660: Loss = 0.011883453465998173, lr = [5e-05] +[2024-05-21 21:02:44,092] - INFO: Epoch 1117/9999, Iter 111680: Loss = 0.01515958458185196, lr = [5e-05] +[2024-05-21 21:02:59,840] - INFO: Epoch 1118/9999, Iter 111700: Loss = 0.01386111881583929, lr = [5e-05] +[2024-05-21 21:03:14,407] - INFO: Epoch 1118/9999, Iter 111720: Loss = 0.01628575287759304, lr = [5e-05] +[2024-05-21 21:03:28,984] - INFO: Epoch 1118/9999, Iter 111740: Loss = 0.010517936199903488, lr = [5e-05] +[2024-05-21 21:03:43,488] - INFO: Epoch 1118/9999, Iter 111760: Loss = 0.014464326202869415, lr = [5e-05] +[2024-05-21 21:03:58,084] - INFO: Epoch 1118/9999, Iter 111780: Loss = 0.01293464470654726, lr = [5e-05] +[2024-05-21 21:04:14,024] - INFO: Epoch 1119/9999, Iter 111800: Loss = 0.0165141299366951, lr = [5e-05] +[2024-05-21 21:04:28,783] - INFO: Epoch 1119/9999, Iter 111820: Loss = 0.010963565669953823, lr = [5e-05] +[2024-05-21 21:04:43,436] - INFO: Epoch 1119/9999, Iter 111840: Loss = 0.011127982288599014, lr = [5e-05] +[2024-05-21 21:04:57,980] - INFO: Epoch 1119/9999, Iter 111860: Loss = 0.01650921069085598, lr = [5e-05] +[2024-05-21 21:05:12,639] - INFO: Epoch 1119/9999, Iter 111880: Loss = 0.007961779832839966, lr = [5e-05] +[2024-05-21 21:05:28,391] - INFO: Epoch 1120/9999, Iter 111900: Loss = 0.014508441090583801, lr = [5e-05] +[2024-05-21 21:05:43,073] - INFO: Epoch 1120/9999, Iter 111920: Loss = 0.007119305897504091, lr = [5e-05] +[2024-05-21 21:05:57,676] - INFO: Epoch 1120/9999, Iter 111940: Loss = 0.008937693201005459, lr = [5e-05] +[2024-05-21 21:06:12,406] - INFO: Epoch 1120/9999, Iter 111960: Loss = 0.012754193507134914, lr = [5e-05] +[2024-05-21 21:06:27,152] - INFO: Epoch 1120/9999, Iter 111980: Loss = 0.016283228993415833, lr = [5e-05] +[2024-05-21 21:06:41,526] - INFO: Evaluate at epoch 1120! +[2024-05-21 21:06:46,423] - INFO: Eval PSNR (max): 38.015 (1105) SSIM (max): 0.9609 (1090) +[2024-05-21 21:06:46,423] - INFO: Eval PSNR (current): 37.967 (1120) SSIM (current): 0.9608 (1120) +[2024-05-21 21:06:46,423] - INFO: Evaluation over. +[2024-05-21 21:07:32,072] - INFO: Epoch 1121/9999, Iter 112000: Loss = 0.02257903479039669, lr = [5e-05] +[2024-05-21 21:07:46,520] - INFO: Epoch 1121/9999, Iter 112020: Loss = 0.007944446988403797, lr = [5e-05] +[2024-05-21 21:08:00,991] - INFO: Epoch 1121/9999, Iter 112040: Loss = 0.016153661534190178, lr = [5e-05] +[2024-05-21 21:08:15,450] - INFO: Epoch 1121/9999, Iter 112060: Loss = 0.01913551427423954, lr = [5e-05] +[2024-05-21 21:08:29,840] - INFO: Epoch 1121/9999, Iter 112080: Loss = 0.01785263791680336, lr = [5e-05] +[2024-05-21 21:08:45,736] - INFO: Epoch 1122/9999, Iter 112100: Loss = 0.007517121732234955, lr = [5e-05] +[2024-05-21 21:09:00,182] - INFO: Epoch 1122/9999, Iter 112120: Loss = 0.004938619211316109, lr = [5e-05] +[2024-05-21 21:09:14,679] - INFO: Epoch 1122/9999, Iter 112140: Loss = 0.010718460194766521, lr = [5e-05] +[2024-05-21 21:09:29,237] - INFO: Epoch 1122/9999, Iter 112160: Loss = 0.0201712716370821, lr = [5e-05] +[2024-05-21 21:09:43,773] - INFO: Epoch 1122/9999, Iter 112180: Loss = 0.00750143313780427, lr = [5e-05] +[2024-05-21 21:09:59,612] - INFO: Epoch 1123/9999, Iter 112200: Loss = 0.007303302176296711, lr = [5e-05] +[2024-05-21 21:10:51,689] - INFO: Epoch 1123/9999, Iter 112220: Loss = 0.017612028867006302, lr = [5e-05] +[2024-05-21 21:11:15,263] - INFO: Epoch 1123/9999, Iter 112240: Loss = 0.009476807899773121, lr = [5e-05] +[2024-05-21 21:11:29,660] - INFO: Epoch 1123/9999, Iter 112260: Loss = 0.01174713671207428, lr = [5e-05] +[2024-05-21 21:11:44,148] - INFO: Epoch 1123/9999, Iter 112280: Loss = 0.011843531392514706, lr = [5e-05] +[2024-05-21 21:11:59,835] - INFO: Epoch 1124/9999, Iter 112300: Loss = 0.01433628611266613, lr = [5e-05] +[2024-05-21 21:12:14,370] - INFO: Epoch 1124/9999, Iter 112320: Loss = 0.018623599782586098, lr = [5e-05] +[2024-05-21 21:12:28,915] - INFO: Epoch 1124/9999, Iter 112340: Loss = 0.012624500319361687, lr = [5e-05] +[2024-05-21 21:12:43,460] - INFO: Epoch 1124/9999, Iter 112360: Loss = 0.009119227528572083, lr = [5e-05] +[2024-05-21 21:12:58,156] - INFO: Epoch 1124/9999, Iter 112380: Loss = 0.013178469613194466, lr = [5e-05] +[2024-05-21 21:13:14,084] - INFO: Epoch 1125/9999, Iter 112400: Loss = 0.007664731238037348, lr = [5e-05] +[2024-05-21 21:13:28,750] - INFO: Epoch 1125/9999, Iter 112420: Loss = 0.008599851280450821, lr = [5e-05] +[2024-05-21 21:13:43,388] - INFO: Epoch 1125/9999, Iter 112440: Loss = 0.014078990556299686, lr = [5e-05] +[2024-05-21 21:13:58,123] - INFO: Epoch 1125/9999, Iter 112460: Loss = 0.009072245098650455, lr = [5e-05] +[2024-05-21 21:14:12,775] - INFO: Epoch 1125/9999, Iter 112480: Loss = 0.012593154795467854, lr = [5e-05] +[2024-05-21 21:14:27,095] - INFO: Evaluate at epoch 1125! +[2024-05-21 21:14:32,001] - INFO: Eval PSNR (max): 38.015 (1105) SSIM (max): 0.9609 (1090) +[2024-05-21 21:14:32,002] - INFO: Eval PSNR (current): 37.993 (1125) SSIM (current): 0.9607 (1125) +[2024-05-21 21:14:32,002] - INFO: Evaluation over. +[2024-05-21 21:15:17,849] - INFO: Epoch 1126/9999, Iter 112500: Loss = 0.012252441607415676, lr = [5e-05] +[2024-05-21 21:15:32,229] - INFO: Epoch 1126/9999, Iter 112520: Loss = 0.01931188255548477, lr = [5e-05] +[2024-05-21 21:15:46,660] - INFO: Epoch 1126/9999, Iter 112540: Loss = 0.009110466577112675, lr = [5e-05] +[2024-05-21 21:16:01,198] - INFO: Epoch 1126/9999, Iter 112560: Loss = 0.01912776008248329, lr = [5e-05] +[2024-05-21 21:16:37,924] - INFO: Epoch 1126/9999, Iter 112580: Loss = 0.018169958144426346, lr = [5e-05] +[2024-05-21 21:16:53,659] - INFO: Epoch 1127/9999, Iter 112600: Loss = 0.010972992517054081, lr = [5e-05] +[2024-05-21 21:17:08,180] - INFO: Epoch 1127/9999, Iter 112620: Loss = 0.018013061955571175, lr = [5e-05] +[2024-05-21 21:17:22,791] - INFO: Epoch 1127/9999, Iter 112640: Loss = 0.01750607043504715, lr = [5e-05] +[2024-05-21 21:17:37,217] - INFO: Epoch 1127/9999, Iter 112660: Loss = 0.015964237973093987, lr = [5e-05] +[2024-05-21 21:17:51,722] - INFO: Epoch 1127/9999, Iter 112680: Loss = 0.009153855964541435, lr = [5e-05] +[2024-05-21 21:18:07,553] - INFO: Epoch 1128/9999, Iter 112700: Loss = 0.013720911927521229, lr = [5e-05] +[2024-05-21 21:18:22,072] - INFO: Epoch 1128/9999, Iter 112720: Loss = 0.014615895226597786, lr = [5e-05] +[2024-05-21 21:18:36,600] - INFO: Epoch 1128/9999, Iter 112740: Loss = 0.009618408977985382, lr = [5e-05] +[2024-05-21 21:18:51,170] - INFO: Epoch 1128/9999, Iter 112760: Loss = 0.017030373215675354, lr = [5e-05] +[2024-05-21 21:19:05,785] - INFO: Epoch 1128/9999, Iter 112780: Loss = 0.009946780279278755, lr = [5e-05] +[2024-05-21 21:19:21,601] - INFO: Epoch 1129/9999, Iter 112800: Loss = 0.0211125947535038, lr = [5e-05] +[2024-05-21 21:19:36,350] - INFO: Epoch 1129/9999, Iter 112820: Loss = 0.01915484294295311, lr = [5e-05] +[2024-05-21 21:19:51,009] - INFO: Epoch 1129/9999, Iter 112840: Loss = 0.016713233664631844, lr = [5e-05] +[2024-05-21 21:20:05,708] - INFO: Epoch 1129/9999, Iter 112860: Loss = 0.007597088813781738, lr = [5e-05] +[2024-05-21 21:20:20,388] - INFO: Epoch 1129/9999, Iter 112880: Loss = 0.013043087907135487, lr = [5e-05] +[2024-05-21 21:20:36,648] - INFO: Epoch 1130/9999, Iter 112900: Loss = 0.01087433286011219, lr = [5e-05] +[2024-05-21 21:20:51,362] - INFO: Epoch 1130/9999, Iter 112920: Loss = 0.006332700606435537, lr = [5e-05] +[2024-05-21 21:21:06,154] - INFO: Epoch 1130/9999, Iter 112940: Loss = 0.015176407061517239, lr = [5e-05] +[2024-05-21 21:21:20,840] - INFO: Epoch 1130/9999, Iter 112960: Loss = 0.012828445062041283, lr = [5e-05] +[2024-05-21 21:21:35,588] - INFO: Epoch 1130/9999, Iter 112980: Loss = 0.016987020149827003, lr = [5e-05] +[2024-05-21 21:21:50,055] - INFO: Evaluate at epoch 1130! +[2024-05-21 21:22:39,996] - INFO: Eval PSNR (max): 38.041 (1130) SSIM (max): 0.9609 (1090) +[2024-05-21 21:22:39,996] - INFO: Eval PSNR (current): 38.041 (1130) SSIM (current): 0.9609 (1130) +[2024-05-21 21:22:39,996] - INFO: Evaluation over. +[2024-05-21 21:23:26,348] - INFO: Epoch 1131/9999, Iter 113000: Loss = 0.014098298735916615, lr = [5e-05] +[2024-05-21 21:23:40,675] - INFO: Epoch 1131/9999, Iter 113020: Loss = 0.017164841294288635, lr = [5e-05] +[2024-05-21 21:23:55,045] - INFO: Epoch 1131/9999, Iter 113040: Loss = 0.010430113412439823, lr = [5e-05] +[2024-05-21 21:24:09,399] - INFO: Epoch 1131/9999, Iter 113060: Loss = 0.011305540800094604, lr = [5e-05] +[2024-05-21 21:24:23,819] - INFO: Epoch 1131/9999, Iter 113080: Loss = 0.015676135197281837, lr = [5e-05] +[2024-05-21 21:24:39,307] - INFO: Epoch 1132/9999, Iter 113100: Loss = 0.014937283471226692, lr = [5e-05] +[2024-05-21 21:24:53,866] - INFO: Epoch 1132/9999, Iter 113120: Loss = 0.015161767601966858, lr = [5e-05] +[2024-05-21 21:25:08,488] - INFO: Epoch 1132/9999, Iter 113140: Loss = 0.008397255092859268, lr = [5e-05] +[2024-05-21 21:25:22,947] - INFO: Epoch 1132/9999, Iter 113160: Loss = 0.01579027809202671, lr = [5e-05] +[2024-05-21 21:25:37,568] - INFO: Epoch 1132/9999, Iter 113180: Loss = 0.015246407128870487, lr = [5e-05] +[2024-05-21 21:25:53,210] - INFO: Epoch 1133/9999, Iter 113200: Loss = 0.009561747312545776, lr = [5e-05] +[2024-05-21 21:26:07,837] - INFO: Epoch 1133/9999, Iter 113220: Loss = 0.007720803841948509, lr = [5e-05] +[2024-05-21 21:26:22,554] - INFO: Epoch 1133/9999, Iter 113240: Loss = 0.005757137667387724, lr = [5e-05] +[2024-05-21 21:26:37,213] - INFO: Epoch 1133/9999, Iter 113260: Loss = 0.015005270950496197, lr = [5e-05] +[2024-05-21 21:26:51,889] - INFO: Epoch 1133/9999, Iter 113280: Loss = 0.012097817845642567, lr = [5e-05] +[2024-05-21 21:27:08,032] - INFO: Epoch 1134/9999, Iter 113300: Loss = 0.008735024370253086, lr = [5e-05] +[2024-05-21 21:27:22,733] - INFO: Epoch 1134/9999, Iter 113320: Loss = 0.007300333119928837, lr = [5e-05] +[2024-05-21 21:27:37,453] - INFO: Epoch 1134/9999, Iter 113340: Loss = 0.017320498824119568, lr = [5e-05] +[2024-05-21 21:27:52,183] - INFO: Epoch 1134/9999, Iter 113360: Loss = 0.017964288592338562, lr = [5e-05] +[2024-05-21 21:28:06,976] - INFO: Epoch 1134/9999, Iter 113380: Loss = 0.016289565712213516, lr = [5e-05] +[2024-05-21 21:28:23,016] - INFO: Epoch 1135/9999, Iter 113400: Loss = 0.02331261709332466, lr = [5e-05] +[2024-05-21 21:28:37,770] - INFO: Epoch 1135/9999, Iter 113420: Loss = 0.012730450369417667, lr = [5e-05] +[2024-05-21 21:28:52,598] - INFO: Epoch 1135/9999, Iter 113440: Loss = 0.018528291955590248, lr = [5e-05] +[2024-05-21 21:29:07,364] - INFO: Epoch 1135/9999, Iter 113460: Loss = 0.011566998437047005, lr = [5e-05] +[2024-05-21 21:29:22,132] - INFO: Epoch 1135/9999, Iter 113480: Loss = 0.008260900154709816, lr = [5e-05] +[2024-05-21 21:29:36,635] - INFO: Evaluate at epoch 1135! +[2024-05-21 21:31:09,293] - INFO: Eval PSNR (max): 38.052 (1135) SSIM (max): 0.9609 (1135) +[2024-05-21 21:31:09,294] - INFO: Eval PSNR (current): 38.052 (1135) SSIM (current): 0.9609 (1135) +[2024-05-21 21:31:09,294] - INFO: Evaluation over. +[2024-05-21 21:31:54,580] - INFO: Epoch 1136/9999, Iter 113500: Loss = 0.013351027853786945, lr = [5e-05] +[2024-05-21 21:32:08,869] - INFO: Epoch 1136/9999, Iter 113520: Loss = 0.010937622748315334, lr = [5e-05] +[2024-05-21 21:32:23,176] - INFO: Epoch 1136/9999, Iter 113540: Loss = 0.007159254048019648, lr = [5e-05] +[2024-05-21 21:32:37,464] - INFO: Epoch 1136/9999, Iter 113560: Loss = 0.010762272402644157, lr = [5e-05] +[2024-05-21 21:32:51,805] - INFO: Epoch 1136/9999, Iter 113580: Loss = 0.00982943270355463, lr = [5e-05] +[2024-05-21 21:33:07,459] - INFO: Epoch 1137/9999, Iter 113600: Loss = 0.014119667932391167, lr = [5e-05] +[2024-05-21 21:33:21,842] - INFO: Epoch 1137/9999, Iter 113620: Loss = 0.007930409163236618, lr = [5e-05] +[2024-05-21 21:33:36,234] - INFO: Epoch 1137/9999, Iter 113640: Loss = 0.021023249253630638, lr = [5e-05] +[2024-05-21 21:33:50,748] - INFO: Epoch 1137/9999, Iter 113660: Loss = 0.013435255736112595, lr = [5e-05] +[2024-05-21 21:34:05,192] - INFO: Epoch 1137/9999, Iter 113680: Loss = 0.010367752984166145, lr = [5e-05] +[2024-05-21 21:34:20,862] - INFO: Epoch 1138/9999, Iter 113700: Loss = 0.013403616845607758, lr = [5e-05] +[2024-05-21 21:34:35,588] - INFO: Epoch 1138/9999, Iter 113720: Loss = 0.022229118272662163, lr = [5e-05] +[2024-05-21 21:34:50,184] - INFO: Epoch 1138/9999, Iter 113740: Loss = 0.012656007893383503, lr = [5e-05] +[2024-05-21 21:35:04,847] - INFO: Epoch 1138/9999, Iter 113760: Loss = 0.010409646667540073, lr = [5e-05] +[2024-05-21 21:35:19,414] - INFO: Epoch 1138/9999, Iter 113780: Loss = 0.01771458424627781, lr = [5e-05] +[2024-05-21 21:35:35,366] - INFO: Epoch 1139/9999, Iter 113800: Loss = 0.016298620030283928, lr = [5e-05] +[2024-05-21 21:35:50,032] - INFO: Epoch 1139/9999, Iter 113820: Loss = 0.019951874390244484, lr = [5e-05] +[2024-05-21 21:36:04,920] - INFO: Epoch 1139/9999, Iter 113840: Loss = 0.013651459477841854, lr = [5e-05] +[2024-05-21 21:36:19,673] - INFO: Epoch 1139/9999, Iter 113860: Loss = 0.013648336753249168, lr = [5e-05] +[2024-05-21 21:36:34,333] - INFO: Epoch 1139/9999, Iter 113880: Loss = 0.008022029884159565, lr = [5e-05] +[2024-05-21 21:36:50,135] - INFO: Epoch 1140/9999, Iter 113900: Loss = 0.011012863367795944, lr = [5e-05] +[2024-05-21 21:37:04,824] - INFO: Epoch 1140/9999, Iter 113920: Loss = 0.006118718069046736, lr = [5e-05] +[2024-05-21 21:37:19,593] - INFO: Epoch 1140/9999, Iter 113940: Loss = 0.009446279145777225, lr = [5e-05] +[2024-05-21 21:37:34,285] - INFO: Epoch 1140/9999, Iter 113960: Loss = 0.010800611227750778, lr = [5e-05] +[2024-05-21 21:37:48,943] - INFO: Epoch 1140/9999, Iter 113980: Loss = 0.01966243050992489, lr = [5e-05] +[2024-05-21 21:38:03,414] - INFO: Evaluate at epoch 1140! +[2024-05-21 21:38:08,328] - INFO: Eval PSNR (max): 38.052 (1135) SSIM (max): 0.9609 (1135) +[2024-05-21 21:38:08,328] - INFO: Eval PSNR (current): 38.016 (1140) SSIM (current): 0.9608 (1140) +[2024-05-21 21:38:08,328] - INFO: Evaluation over. +[2024-05-21 21:38:54,029] - INFO: Epoch 1141/9999, Iter 114000: Loss = 0.007698835805058479, lr = [5e-05] +[2024-05-21 21:39:08,542] - INFO: Epoch 1141/9999, Iter 114020: Loss = 0.011064940132200718, lr = [5e-05] +[2024-05-21 21:39:22,992] - INFO: Epoch 1141/9999, Iter 114040: Loss = 0.011427314020693302, lr = [5e-05] +[2024-05-21 21:39:37,409] - INFO: Epoch 1141/9999, Iter 114060: Loss = 0.011743457056581974, lr = [5e-05] +[2024-05-21 21:39:51,895] - INFO: Epoch 1141/9999, Iter 114080: Loss = 0.011316529475152493, lr = [5e-05] +[2024-05-21 21:40:07,583] - INFO: Epoch 1142/9999, Iter 114100: Loss = 0.00882858969271183, lr = [5e-05] +[2024-05-21 21:40:22,048] - INFO: Epoch 1142/9999, Iter 114120: Loss = 0.016826823353767395, lr = [5e-05] +[2024-05-21 21:40:36,537] - INFO: Epoch 1142/9999, Iter 114140: Loss = 0.010653690434992313, lr = [5e-05] +[2024-05-21 21:40:51,017] - INFO: Epoch 1142/9999, Iter 114160: Loss = 0.02145717479288578, lr = [5e-05] +[2024-05-21 21:41:05,576] - INFO: Epoch 1142/9999, Iter 114180: Loss = 0.013160762377083302, lr = [5e-05] +[2024-05-21 21:41:21,495] - INFO: Epoch 1143/9999, Iter 114200: Loss = 0.011547236703336239, lr = [5e-05] +[2024-05-21 21:41:36,172] - INFO: Epoch 1143/9999, Iter 114220: Loss = 0.013350429013371468, lr = [5e-05] +[2024-05-21 21:41:50,791] - INFO: Epoch 1143/9999, Iter 114240: Loss = 0.00902610644698143, lr = [5e-05] +[2024-05-21 21:42:05,366] - INFO: Epoch 1143/9999, Iter 114260: Loss = 0.00947375688701868, lr = [5e-05] +[2024-05-21 21:42:20,058] - INFO: Epoch 1143/9999, Iter 114280: Loss = 0.015747955068945885, lr = [5e-05] +[2024-05-21 21:42:35,992] - INFO: Epoch 1144/9999, Iter 114300: Loss = 0.015092119574546814, lr = [5e-05] +[2024-05-21 21:42:50,759] - INFO: Epoch 1144/9999, Iter 114320: Loss = 0.015054610557854176, lr = [5e-05] +[2024-05-21 21:43:05,483] - INFO: Epoch 1144/9999, Iter 114340: Loss = 0.01152858231216669, lr = [5e-05] +[2024-05-21 21:43:20,252] - INFO: Epoch 1144/9999, Iter 114360: Loss = 0.014999381266534328, lr = [5e-05] +[2024-05-21 21:43:34,895] - INFO: Epoch 1144/9999, Iter 114380: Loss = 0.009575087577104568, lr = [5e-05] +[2024-05-21 21:43:50,723] - INFO: Epoch 1145/9999, Iter 114400: Loss = 0.01620587892830372, lr = [5e-05] +[2024-05-21 21:44:05,386] - INFO: Epoch 1145/9999, Iter 114420: Loss = 0.011827923357486725, lr = [5e-05] +[2024-05-21 21:44:20,054] - INFO: Epoch 1145/9999, Iter 114440: Loss = 0.01314360462129116, lr = [5e-05] +[2024-05-21 21:44:34,665] - INFO: Epoch 1145/9999, Iter 114460: Loss = 0.015088329091668129, lr = [5e-05] +[2024-05-21 21:44:49,282] - INFO: Epoch 1145/9999, Iter 114480: Loss = 0.006953476928174496, lr = [5e-05] +[2024-05-21 21:45:03,687] - INFO: Evaluate at epoch 1145! +[2024-05-21 21:45:08,511] - INFO: Eval PSNR (max): 38.052 (1135) SSIM (max): 0.9609 (1135) +[2024-05-21 21:45:08,511] - INFO: Eval PSNR (current): 38.035 (1145) SSIM (current): 0.9609 (1145) +[2024-05-21 21:45:08,511] - INFO: Evaluation over. +[2024-05-21 21:45:54,228] - INFO: Epoch 1146/9999, Iter 114500: Loss = 0.01113587524741888, lr = [5e-05] +[2024-05-21 21:46:08,657] - INFO: Epoch 1146/9999, Iter 114520: Loss = 0.013529089279472828, lr = [5e-05] +[2024-05-21 21:46:23,127] - INFO: Epoch 1146/9999, Iter 114540: Loss = 0.013299262151122093, lr = [5e-05] +[2024-05-21 21:46:37,528] - INFO: Epoch 1146/9999, Iter 114560: Loss = 0.015267091803252697, lr = [5e-05] +[2024-05-21 21:46:51,984] - INFO: Epoch 1146/9999, Iter 114580: Loss = 0.005824474152177572, lr = [5e-05] +[2024-05-21 21:47:07,864] - INFO: Epoch 1147/9999, Iter 114600: Loss = 0.012836451642215252, lr = [5e-05] +[2024-05-21 21:47:22,397] - INFO: Epoch 1147/9999, Iter 114620: Loss = 0.007807976100593805, lr = [5e-05] +[2024-05-21 21:47:37,096] - INFO: Epoch 1147/9999, Iter 114640: Loss = 0.01594364084303379, lr = [5e-05] +[2024-05-21 21:47:51,624] - INFO: Epoch 1147/9999, Iter 114660: Loss = 0.009016535244882107, lr = [5e-05] +[2024-05-21 21:48:06,180] - INFO: Epoch 1147/9999, Iter 114680: Loss = 0.006156862247735262, lr = [5e-05] +[2024-05-21 21:48:22,170] - INFO: Epoch 1148/9999, Iter 114700: Loss = 0.010473827831447124, lr = [5e-05] +[2024-05-21 21:48:36,757] - INFO: Epoch 1148/9999, Iter 114720: Loss = 0.010250413790345192, lr = [5e-05] +[2024-05-21 21:48:51,474] - INFO: Epoch 1148/9999, Iter 114740: Loss = 0.011624944396317005, lr = [5e-05] +[2024-05-21 21:49:06,108] - INFO: Epoch 1148/9999, Iter 114760: Loss = 0.005377400666475296, lr = [5e-05] +[2024-05-21 21:49:20,801] - INFO: Epoch 1148/9999, Iter 114780: Loss = 0.014243686571717262, lr = [5e-05] +[2024-05-21 21:49:36,569] - INFO: Epoch 1149/9999, Iter 114800: Loss = 0.012075806967914104, lr = [5e-05] +[2024-05-21 21:49:51,350] - INFO: Epoch 1149/9999, Iter 114820: Loss = 0.005115937441587448, lr = [5e-05] +[2024-05-21 21:50:06,012] - INFO: Epoch 1149/9999, Iter 114840: Loss = 0.012699345126748085, lr = [5e-05] +[2024-05-21 21:50:20,694] - INFO: Epoch 1149/9999, Iter 114860: Loss = 0.009184641763567924, lr = [5e-05] +[2024-05-21 21:50:35,344] - INFO: Epoch 1149/9999, Iter 114880: Loss = 0.0264840479940176, lr = [5e-05] +[2024-05-21 21:50:51,439] - INFO: Epoch 1150/9999, Iter 114900: Loss = 0.011336905881762505, lr = [5e-05] +[2024-05-21 21:51:06,295] - INFO: Epoch 1150/9999, Iter 114920: Loss = 0.010677127167582512, lr = [5e-05] +[2024-05-21 21:51:21,136] - INFO: Epoch 1150/9999, Iter 114940: Loss = 0.015583811327815056, lr = [5e-05] +[2024-05-21 21:51:35,840] - INFO: Epoch 1150/9999, Iter 114960: Loss = 0.007177193649113178, lr = [5e-05] +[2024-05-21 21:51:50,560] - INFO: Epoch 1150/9999, Iter 114980: Loss = 0.011432460509240627, lr = [5e-05] +[2024-05-21 21:52:04,963] - INFO: Evaluate at epoch 1150! +[2024-05-21 21:52:09,769] - INFO: Eval PSNR (max): 38.052 (1135) SSIM (max): 0.9609 (1135) +[2024-05-21 21:52:09,770] - INFO: Eval PSNR (current): 37.984 (1150) SSIM (current): 0.9609 (1150) +[2024-05-21 21:52:09,770] - INFO: Evaluation over. +[2024-05-21 21:52:55,468] - INFO: Epoch 1151/9999, Iter 115000: Loss = 0.007225813809782267, lr = [5e-05] +[2024-05-21 21:53:10,104] - INFO: Epoch 1151/9999, Iter 115020: Loss = 0.00840489286929369, lr = [5e-05] +[2024-05-21 21:53:24,548] - INFO: Epoch 1151/9999, Iter 115040: Loss = 0.01057959534227848, lr = [5e-05] +[2024-05-21 21:53:38,984] - INFO: Epoch 1151/9999, Iter 115060: Loss = 0.016841374337673187, lr = [5e-05] +[2024-05-21 21:53:53,476] - INFO: Epoch 1151/9999, Iter 115080: Loss = 0.007280090358108282, lr = [5e-05] +[2024-05-21 21:54:09,112] - INFO: Epoch 1152/9999, Iter 115100: Loss = 0.015070926398038864, lr = [5e-05] +[2024-05-21 21:54:23,601] - INFO: Epoch 1152/9999, Iter 115120: Loss = 0.01488091517239809, lr = [5e-05] +[2024-05-21 21:54:38,204] - INFO: Epoch 1152/9999, Iter 115140: Loss = 0.008637184277176857, lr = [5e-05] +[2024-05-21 21:54:52,756] - INFO: Epoch 1152/9999, Iter 115160: Loss = 0.005100250244140625, lr = [5e-05] +[2024-05-21 21:55:07,311] - INFO: Epoch 1152/9999, Iter 115180: Loss = 0.012313151732087135, lr = [5e-05] +[2024-05-21 21:55:23,073] - INFO: Epoch 1153/9999, Iter 115200: Loss = 0.010635430924594402, lr = [5e-05] +[2024-05-21 21:55:37,701] - INFO: Epoch 1153/9999, Iter 115220: Loss = 0.012941079214215279, lr = [5e-05] +[2024-05-21 21:55:52,340] - INFO: Epoch 1153/9999, Iter 115240: Loss = 0.01619676686823368, lr = [5e-05] +[2024-05-21 21:56:06,908] - INFO: Epoch 1153/9999, Iter 115260: Loss = 0.011406498961150646, lr = [5e-05] +[2024-05-21 21:56:21,484] - INFO: Epoch 1153/9999, Iter 115280: Loss = 0.013508860021829605, lr = [5e-05] +[2024-05-21 21:56:37,232] - INFO: Epoch 1154/9999, Iter 115300: Loss = 0.019587421789765358, lr = [5e-05] +[2024-05-21 21:56:51,952] - INFO: Epoch 1154/9999, Iter 115320: Loss = 0.013875091448426247, lr = [5e-05] +[2024-05-21 21:57:06,664] - INFO: Epoch 1154/9999, Iter 115340: Loss = 0.008191258646547794, lr = [5e-05] +[2024-05-21 21:57:21,312] - INFO: Epoch 1154/9999, Iter 115360: Loss = 0.020578792318701744, lr = [5e-05] +[2024-05-21 21:57:35,970] - INFO: Epoch 1154/9999, Iter 115380: Loss = 0.013942930847406387, lr = [5e-05] +[2024-05-21 21:57:52,044] - INFO: Epoch 1155/9999, Iter 115400: Loss = 0.00792684592306614, lr = [5e-05] +[2024-05-21 21:58:06,804] - INFO: Epoch 1155/9999, Iter 115420: Loss = 0.00874235201627016, lr = [5e-05] +[2024-05-21 21:58:21,632] - INFO: Epoch 1155/9999, Iter 115440: Loss = 0.010828053578734398, lr = [5e-05] +[2024-05-21 21:58:36,358] - INFO: Epoch 1155/9999, Iter 115460: Loss = 0.006778544746339321, lr = [5e-05] +[2024-05-21 21:58:51,184] - INFO: Epoch 1155/9999, Iter 115480: Loss = 0.015377940610051155, lr = [5e-05] +[2024-05-21 21:59:05,656] - INFO: Evaluate at epoch 1155! +[2024-05-21 21:59:10,625] - INFO: Eval PSNR (max): 38.052 (1135) SSIM (max): 0.9609 (1135) +[2024-05-21 21:59:10,626] - INFO: Eval PSNR (current): 37.994 (1155) SSIM (current): 0.9608 (1155) +[2024-05-21 21:59:10,626] - INFO: Evaluation over. +[2024-05-21 21:59:56,031] - INFO: Epoch 1156/9999, Iter 115500: Loss = 0.012592766433954239, lr = [5e-05] +[2024-05-21 22:00:10,802] - INFO: Epoch 1156/9999, Iter 115520: Loss = 0.01747649721801281, lr = [5e-05] +[2024-05-21 22:00:25,282] - INFO: Epoch 1156/9999, Iter 115540: Loss = 0.0135653056204319, lr = [5e-05] +[2024-05-21 22:00:39,732] - INFO: Epoch 1156/9999, Iter 115560: Loss = 0.011088996194303036, lr = [5e-05] +[2024-05-21 22:00:54,155] - INFO: Epoch 1156/9999, Iter 115580: Loss = 0.013476009480655193, lr = [5e-05] +[2024-05-21 22:01:09,876] - INFO: Epoch 1157/9999, Iter 115600: Loss = 0.011347180232405663, lr = [5e-05] +[2024-05-21 22:01:24,490] - INFO: Epoch 1157/9999, Iter 115620: Loss = 0.01566593162715435, lr = [5e-05] +[2024-05-21 22:01:39,024] - INFO: Epoch 1157/9999, Iter 115640: Loss = 0.009870128706097603, lr = [5e-05] +[2024-05-21 22:01:53,632] - INFO: Epoch 1157/9999, Iter 115660: Loss = 0.013894414529204369, lr = [5e-05] +[2024-05-21 22:02:08,224] - INFO: Epoch 1157/9999, Iter 115680: Loss = 0.00851798802614212, lr = [5e-05] +[2024-05-21 22:02:23,983] - INFO: Epoch 1158/9999, Iter 115700: Loss = 0.009521429426968098, lr = [5e-05] +[2024-05-21 22:02:38,640] - INFO: Epoch 1158/9999, Iter 115720: Loss = 0.010592364706099033, lr = [5e-05] +[2024-05-21 22:02:53,296] - INFO: Epoch 1158/9999, Iter 115740: Loss = 0.016058465465903282, lr = [5e-05] +[2024-05-21 22:03:07,948] - INFO: Epoch 1158/9999, Iter 115760: Loss = 0.015516147017478943, lr = [5e-05] +[2024-05-21 22:03:22,634] - INFO: Epoch 1158/9999, Iter 115780: Loss = 0.019468069076538086, lr = [5e-05] +[2024-05-21 22:03:38,796] - INFO: Epoch 1159/9999, Iter 115800: Loss = 0.01164159830659628, lr = [5e-05] +[2024-05-21 22:03:53,580] - INFO: Epoch 1159/9999, Iter 115820: Loss = 0.009949675761163235, lr = [5e-05] +[2024-05-21 22:04:08,293] - INFO: Epoch 1159/9999, Iter 115840: Loss = 0.014672065153717995, lr = [5e-05] +[2024-05-21 22:04:22,964] - INFO: Epoch 1159/9999, Iter 115860: Loss = 0.012022334150969982, lr = [5e-05] +[2024-05-21 22:04:37,548] - INFO: Epoch 1159/9999, Iter 115880: Loss = 0.02037099190056324, lr = [5e-05] +[2024-05-21 22:04:53,345] - INFO: Epoch 1160/9999, Iter 115900: Loss = 0.010773811489343643, lr = [5e-05] +[2024-05-21 22:05:08,120] - INFO: Epoch 1160/9999, Iter 115920: Loss = 0.02172994799911976, lr = [5e-05] +[2024-05-21 22:05:22,835] - INFO: Epoch 1160/9999, Iter 115940: Loss = 0.017076214775443077, lr = [5e-05] +[2024-05-21 22:05:37,540] - INFO: Epoch 1160/9999, Iter 115960: Loss = 0.010425934568047523, lr = [5e-05] +[2024-05-21 22:05:52,252] - INFO: Epoch 1160/9999, Iter 115980: Loss = 0.020574960857629776, lr = [5e-05] +[2024-05-21 22:06:06,649] - INFO: Evaluate at epoch 1160! +[2024-05-21 22:06:11,575] - INFO: Eval PSNR (max): 38.052 (1135) SSIM (max): 0.9609 (1135) +[2024-05-21 22:06:11,575] - INFO: Eval PSNR (current): 37.997 (1160) SSIM (current): 0.9607 (1160) +[2024-05-21 22:06:11,575] - INFO: Evaluation over. +[2024-05-21 22:06:57,349] - INFO: Epoch 1161/9999, Iter 116000: Loss = 0.011220909655094147, lr = [5e-05] +[2024-05-21 22:07:11,763] - INFO: Epoch 1161/9999, Iter 116020: Loss = 0.011838378384709358, lr = [5e-05] +[2024-05-21 22:07:26,440] - INFO: Epoch 1161/9999, Iter 116040: Loss = 0.02776309847831726, lr = [5e-05] +[2024-05-21 22:07:40,844] - INFO: Epoch 1161/9999, Iter 116060: Loss = 0.02100045420229435, lr = [5e-05] +[2024-05-21 22:07:55,243] - INFO: Epoch 1161/9999, Iter 116080: Loss = 0.016189351677894592, lr = [5e-05] +[2024-05-21 22:08:10,924] - INFO: Epoch 1162/9999, Iter 116100: Loss = 0.010932182893157005, lr = [5e-05] +[2024-05-21 22:08:25,484] - INFO: Epoch 1162/9999, Iter 116120: Loss = 0.00741776404902339, lr = [5e-05] +[2024-05-21 22:08:39,958] - INFO: Epoch 1162/9999, Iter 116140: Loss = 0.022440535947680473, lr = [5e-05] +[2024-05-21 22:08:54,501] - INFO: Epoch 1162/9999, Iter 116160: Loss = 0.012972572818398476, lr = [5e-05] +[2024-05-21 22:09:09,164] - INFO: Epoch 1162/9999, Iter 116180: Loss = 0.0070818946696817875, lr = [5e-05] +[2024-05-21 22:09:24,994] - INFO: Epoch 1163/9999, Iter 116200: Loss = 0.014921128749847412, lr = [5e-05] +[2024-05-21 22:09:39,616] - INFO: Epoch 1163/9999, Iter 116220: Loss = 0.012740862555801868, lr = [5e-05] +[2024-05-21 22:09:54,233] - INFO: Epoch 1163/9999, Iter 116240: Loss = 0.007488576229661703, lr = [5e-05] +[2024-05-21 22:10:08,828] - INFO: Epoch 1163/9999, Iter 116260: Loss = 0.016166748479008675, lr = [5e-05] +[2024-05-21 22:10:23,428] - INFO: Epoch 1163/9999, Iter 116280: Loss = 0.008954144082963467, lr = [5e-05] +[2024-05-21 22:10:39,284] - INFO: Epoch 1164/9999, Iter 116300: Loss = 0.012639975175261497, lr = [5e-05] +[2024-05-21 22:10:53,956] - INFO: Epoch 1164/9999, Iter 116320: Loss = 0.01075286976993084, lr = [5e-05] +[2024-05-21 22:11:08,600] - INFO: Epoch 1164/9999, Iter 116340: Loss = 0.011538870632648468, lr = [5e-05] +[2024-05-21 22:11:23,260] - INFO: Epoch 1164/9999, Iter 116360: Loss = 0.007845615968108177, lr = [5e-05] +[2024-05-21 22:11:38,016] - INFO: Epoch 1164/9999, Iter 116380: Loss = 0.011464285664260387, lr = [5e-05] +[2024-05-21 22:11:53,989] - INFO: Epoch 1165/9999, Iter 116400: Loss = 0.01366219948977232, lr = [5e-05] +[2024-05-21 22:12:08,823] - INFO: Epoch 1165/9999, Iter 116420: Loss = 0.020655924454331398, lr = [5e-05] +[2024-05-21 22:12:23,580] - INFO: Epoch 1165/9999, Iter 116440: Loss = 0.0135337607935071, lr = [5e-05] +[2024-05-21 22:12:38,314] - INFO: Epoch 1165/9999, Iter 116460: Loss = 0.015305254608392715, lr = [5e-05] +[2024-05-21 22:12:53,072] - INFO: Epoch 1165/9999, Iter 116480: Loss = 0.016093984246253967, lr = [5e-05] +[2024-05-21 22:13:07,505] - INFO: Evaluate at epoch 1165! +[2024-05-21 22:14:23,355] - INFO: Eval PSNR (max): 38.052 (1135) SSIM (max): 0.9609 (1165) +[2024-05-21 22:14:23,356] - INFO: Eval PSNR (current): 38.048 (1165) SSIM (current): 0.9609 (1165) +[2024-05-21 22:14:23,356] - INFO: Evaluation over. +[2024-05-21 22:15:09,148] - INFO: Epoch 1166/9999, Iter 116500: Loss = 0.01389293558895588, lr = [5e-05] +[2024-05-21 22:15:23,461] - INFO: Epoch 1166/9999, Iter 116520: Loss = 0.005184974521398544, lr = [5e-05] +[2024-05-21 22:15:37,808] - INFO: Epoch 1166/9999, Iter 116540: Loss = 0.013660156168043613, lr = [5e-05] +[2024-05-21 22:15:52,237] - INFO: Epoch 1166/9999, Iter 116560: Loss = 0.008408389054238796, lr = [5e-05] +[2024-05-21 22:16:06,617] - INFO: Epoch 1166/9999, Iter 116580: Loss = 0.01307960320264101, lr = [5e-05] +[2024-05-21 22:16:22,352] - INFO: Epoch 1167/9999, Iter 116600: Loss = 0.024968216195702553, lr = [5e-05] +[2024-05-21 22:16:36,625] - INFO: Epoch 1167/9999, Iter 116620: Loss = 0.007729220204055309, lr = [5e-05] +[2024-05-21 22:16:51,076] - INFO: Epoch 1167/9999, Iter 116640: Loss = 0.01586250774562359, lr = [5e-05] +[2024-05-21 22:17:05,564] - INFO: Epoch 1167/9999, Iter 116660: Loss = 0.01590910740196705, lr = [5e-05] +[2024-05-21 22:17:20,033] - INFO: Epoch 1167/9999, Iter 116680: Loss = 0.011963188648223877, lr = [5e-05] +[2024-05-21 22:17:35,801] - INFO: Epoch 1168/9999, Iter 116700: Loss = 0.008506699465215206, lr = [5e-05] +[2024-05-21 22:17:50,400] - INFO: Epoch 1168/9999, Iter 116720: Loss = 0.007752844598144293, lr = [5e-05] +[2024-05-21 22:18:04,954] - INFO: Epoch 1168/9999, Iter 116740: Loss = 0.013060135766863823, lr = [5e-05] +[2024-05-21 22:18:19,653] - INFO: Epoch 1168/9999, Iter 116760: Loss = 0.016562363132834435, lr = [5e-05] +[2024-05-21 22:18:34,212] - INFO: Epoch 1168/9999, Iter 116780: Loss = 0.015289460308849812, lr = [5e-05] +[2024-05-21 22:18:50,064] - INFO: Epoch 1169/9999, Iter 116800: Loss = 0.019220644608139992, lr = [5e-05] +[2024-05-21 22:19:04,720] - INFO: Epoch 1169/9999, Iter 116820: Loss = 0.01723315753042698, lr = [5e-05] +[2024-05-21 22:19:19,430] - INFO: Epoch 1169/9999, Iter 116840: Loss = 0.015626998618245125, lr = [5e-05] +[2024-05-21 22:19:34,227] - INFO: Epoch 1169/9999, Iter 116860: Loss = 0.016602639108896255, lr = [5e-05] +[2024-05-21 22:19:48,966] - INFO: Epoch 1169/9999, Iter 116880: Loss = 0.013048873282968998, lr = [5e-05] +[2024-05-21 22:20:04,725] - INFO: Epoch 1170/9999, Iter 116900: Loss = 0.015024161897599697, lr = [5e-05] +[2024-05-21 22:20:19,517] - INFO: Epoch 1170/9999, Iter 116920: Loss = 0.01653335429728031, lr = [5e-05] +[2024-05-21 22:20:34,221] - INFO: Epoch 1170/9999, Iter 116940: Loss = 0.0156208211556077, lr = [5e-05] +[2024-05-21 22:20:49,008] - INFO: Epoch 1170/9999, Iter 116960: Loss = 0.01538774836808443, lr = [5e-05] +[2024-05-21 22:21:03,850] - INFO: Epoch 1170/9999, Iter 116980: Loss = 0.013895035721361637, lr = [5e-05] +[2024-05-21 22:21:18,226] - INFO: Evaluate at epoch 1170! +[2024-05-21 22:21:22,945] - INFO: Eval PSNR (max): 38.052 (1135) SSIM (max): 0.9609 (1165) +[2024-05-21 22:21:22,946] - INFO: Eval PSNR (current): 38.027 (1170) SSIM (current): 0.9609 (1170) +[2024-05-21 22:21:22,946] - INFO: Evaluation over. +[2024-05-21 22:22:07,590] - INFO: Epoch 1171/9999, Iter 117000: Loss = 0.014363407157361507, lr = [5e-05] +[2024-05-21 22:22:22,100] - INFO: Epoch 1171/9999, Iter 117020: Loss = 0.013669074513018131, lr = [5e-05] +[2024-05-21 22:22:36,664] - INFO: Epoch 1171/9999, Iter 117040: Loss = 0.01447681337594986, lr = [5e-05] +[2024-05-21 22:22:51,124] - INFO: Epoch 1171/9999, Iter 117060: Loss = 0.018017413094639778, lr = [5e-05] +[2024-05-21 22:23:05,546] - INFO: Epoch 1171/9999, Iter 117080: Loss = 0.008617065846920013, lr = [5e-05] +[2024-05-21 22:23:21,360] - INFO: Epoch 1172/9999, Iter 117100: Loss = 0.007642127573490143, lr = [5e-05] +[2024-05-21 22:23:35,836] - INFO: Epoch 1172/9999, Iter 117120: Loss = 0.01105648372322321, lr = [5e-05] +[2024-05-21 22:24:20,724] - INFO: Epoch 1172/9999, Iter 117140: Loss = 0.014924866147339344, lr = [5e-05] +[2024-05-21 22:24:35,216] - INFO: Epoch 1172/9999, Iter 117160: Loss = 0.009544020518660545, lr = [5e-05] +[2024-05-21 22:24:49,650] - INFO: Epoch 1172/9999, Iter 117180: Loss = 0.015362992882728577, lr = [5e-05] +[2024-05-21 22:25:05,560] - INFO: Epoch 1173/9999, Iter 117200: Loss = 0.018340621143579483, lr = [5e-05] +[2024-05-21 22:25:19,976] - INFO: Epoch 1173/9999, Iter 117220: Loss = 0.01171830389648676, lr = [5e-05] +[2024-05-21 22:25:34,438] - INFO: Epoch 1173/9999, Iter 117240: Loss = 0.009659458883106709, lr = [5e-05] +[2024-05-21 22:25:48,883] - INFO: Epoch 1173/9999, Iter 117260: Loss = 0.011069534346461296, lr = [5e-05] +[2024-05-21 22:26:03,462] - INFO: Epoch 1173/9999, Iter 117280: Loss = 0.012034552171826363, lr = [5e-05] +[2024-05-21 22:26:19,554] - INFO: Epoch 1174/9999, Iter 117300: Loss = 0.00899538490921259, lr = [5e-05] +[2024-05-21 22:26:34,240] - INFO: Epoch 1174/9999, Iter 117320: Loss = 0.009566400200128555, lr = [5e-05] +[2024-05-21 22:26:48,924] - INFO: Epoch 1174/9999, Iter 117340: Loss = 0.008914479985833168, lr = [5e-05] +[2024-05-21 22:27:03,502] - INFO: Epoch 1174/9999, Iter 117360: Loss = 0.018200788646936417, lr = [5e-05] +[2024-05-21 22:27:18,168] - INFO: Epoch 1174/9999, Iter 117380: Loss = 0.008665347471833229, lr = [5e-05] +[2024-05-21 22:27:34,018] - INFO: Epoch 1175/9999, Iter 117400: Loss = 0.007919375784695148, lr = [5e-05] +[2024-05-21 22:27:48,705] - INFO: Epoch 1175/9999, Iter 117420: Loss = 0.019458459690213203, lr = [5e-05] +[2024-05-21 22:28:03,421] - INFO: Epoch 1175/9999, Iter 117440: Loss = 0.009919701144099236, lr = [5e-05] +[2024-05-21 22:28:18,217] - INFO: Epoch 1175/9999, Iter 117460: Loss = 0.01282554678618908, lr = [5e-05] +[2024-05-21 22:28:32,929] - INFO: Epoch 1175/9999, Iter 117480: Loss = 0.009363356977701187, lr = [5e-05] +[2024-05-21 22:28:47,368] - INFO: Evaluate at epoch 1175! +[2024-05-21 22:29:35,753] - INFO: Eval PSNR (max): 38.052 (1135) SSIM (max): 0.9609 (1175) +[2024-05-21 22:29:35,753] - INFO: Eval PSNR (current): 38.014 (1175) SSIM (current): 0.9609 (1175) +[2024-05-21 22:29:35,753] - INFO: Evaluation over. +[2024-05-21 22:30:20,976] - INFO: Epoch 1176/9999, Iter 117500: Loss = 0.01000239234417677, lr = [5e-05] +[2024-05-21 22:30:35,248] - INFO: Epoch 1176/9999, Iter 117520: Loss = 0.014833809807896614, lr = [5e-05] +[2024-05-21 22:30:49,640] - INFO: Epoch 1176/9999, Iter 117540: Loss = 0.013141072355210781, lr = [5e-05] +[2024-05-21 22:31:04,091] - INFO: Epoch 1176/9999, Iter 117560: Loss = 0.02116485685110092, lr = [5e-05] +[2024-05-21 22:31:18,460] - INFO: Epoch 1176/9999, Iter 117580: Loss = 0.013172099366784096, lr = [5e-05] +[2024-05-21 22:31:34,071] - INFO: Epoch 1177/9999, Iter 117600: Loss = 0.00544904125854373, lr = [5e-05] +[2024-05-21 22:31:48,536] - INFO: Epoch 1177/9999, Iter 117620: Loss = 0.010942232795059681, lr = [5e-05] +[2024-05-21 22:32:03,029] - INFO: Epoch 1177/9999, Iter 117640: Loss = 0.011117624118924141, lr = [5e-05] +[2024-05-21 22:32:17,463] - INFO: Epoch 1177/9999, Iter 117660: Loss = 0.014101332053542137, lr = [5e-05] +[2024-05-21 22:32:32,047] - INFO: Epoch 1177/9999, Iter 117680: Loss = 0.016204606741666794, lr = [5e-05] +[2024-05-21 22:32:47,948] - INFO: Epoch 1178/9999, Iter 117700: Loss = 0.015703896060585976, lr = [5e-05] +[2024-05-21 22:33:02,740] - INFO: Epoch 1178/9999, Iter 117720: Loss = 0.02370736375451088, lr = [5e-05] +[2024-05-21 22:33:17,385] - INFO: Epoch 1178/9999, Iter 117740: Loss = 0.011920435354113579, lr = [5e-05] +[2024-05-21 22:33:32,019] - INFO: Epoch 1178/9999, Iter 117760: Loss = 0.005964053329080343, lr = [5e-05] +[2024-05-21 22:33:46,693] - INFO: Epoch 1178/9999, Iter 117780: Loss = 0.014008668251335621, lr = [5e-05] +[2024-05-21 22:34:02,676] - INFO: Epoch 1179/9999, Iter 117800: Loss = 0.01871989481151104, lr = [5e-05] +[2024-05-21 22:34:17,437] - INFO: Epoch 1179/9999, Iter 117820: Loss = 0.016703549772500992, lr = [5e-05] +[2024-05-21 22:34:32,208] - INFO: Epoch 1179/9999, Iter 117840: Loss = 0.016464518383145332, lr = [5e-05] +[2024-05-21 22:34:47,010] - INFO: Epoch 1179/9999, Iter 117860: Loss = 0.00926617719233036, lr = [5e-05] +[2024-05-21 22:35:01,724] - INFO: Epoch 1179/9999, Iter 117880: Loss = 0.009704827331006527, lr = [5e-05] +[2024-05-21 22:35:17,640] - INFO: Epoch 1180/9999, Iter 117900: Loss = 0.012356667779386044, lr = [5e-05] +[2024-05-21 22:35:32,434] - INFO: Epoch 1180/9999, Iter 117920: Loss = 0.011673979461193085, lr = [5e-05] +[2024-05-21 22:35:47,200] - INFO: Epoch 1180/9999, Iter 117940: Loss = 0.01325890514999628, lr = [5e-05] +[2024-05-21 22:36:01,998] - INFO: Epoch 1180/9999, Iter 117960: Loss = 0.017730562016367912, lr = [5e-05] +[2024-05-21 22:36:16,771] - INFO: Epoch 1180/9999, Iter 117980: Loss = 0.018883565440773964, lr = [5e-05] +[2024-05-21 22:36:31,278] - INFO: Evaluate at epoch 1180! +[2024-05-21 22:37:46,323] - INFO: Eval PSNR (max): 38.052 (1135) SSIM (max): 0.9609 (1180) +[2024-05-21 22:37:46,324] - INFO: Eval PSNR (current): 38.029 (1180) SSIM (current): 0.9609 (1180) +[2024-05-21 22:37:46,324] - INFO: Evaluation over. +[2024-05-21 22:38:31,569] - INFO: Epoch 1181/9999, Iter 118000: Loss = 0.00993414968252182, lr = [5e-05] +[2024-05-21 22:38:45,860] - INFO: Epoch 1181/9999, Iter 118020: Loss = 0.009628774598240852, lr = [5e-05] +[2024-05-21 22:39:00,168] - INFO: Epoch 1181/9999, Iter 118040: Loss = 0.011339467950165272, lr = [5e-05] +[2024-05-21 22:39:14,477] - INFO: Epoch 1181/9999, Iter 118060: Loss = 0.01035376638174057, lr = [5e-05] +[2024-05-21 22:39:28,826] - INFO: Epoch 1181/9999, Iter 118080: Loss = 0.01071564108133316, lr = [5e-05] +[2024-05-21 22:39:44,460] - INFO: Epoch 1182/9999, Iter 118100: Loss = 0.00940418615937233, lr = [5e-05] +[2024-05-21 22:39:58,849] - INFO: Epoch 1182/9999, Iter 118120: Loss = 0.012767736800014973, lr = [5e-05] +[2024-05-21 22:40:13,316] - INFO: Epoch 1182/9999, Iter 118140: Loss = 0.01766781322658062, lr = [5e-05] +[2024-05-21 22:40:27,855] - INFO: Epoch 1182/9999, Iter 118160: Loss = 0.019542613998055458, lr = [5e-05] +[2024-05-21 22:40:42,372] - INFO: Epoch 1182/9999, Iter 118180: Loss = 0.01227186806499958, lr = [5e-05] +[2024-05-21 22:40:58,395] - INFO: Epoch 1183/9999, Iter 118200: Loss = 0.01638592779636383, lr = [5e-05] +[2024-05-21 22:41:12,980] - INFO: Epoch 1183/9999, Iter 118220: Loss = 0.005310986191034317, lr = [5e-05] +[2024-05-21 22:41:27,545] - INFO: Epoch 1183/9999, Iter 118240: Loss = 0.008561537601053715, lr = [5e-05] +[2024-05-21 22:41:42,180] - INFO: Epoch 1183/9999, Iter 118260: Loss = 0.009471612051129341, lr = [5e-05] +[2024-05-21 22:41:56,797] - INFO: Epoch 1183/9999, Iter 118280: Loss = 0.009513516910374165, lr = [5e-05] +[2024-05-21 22:42:12,872] - INFO: Epoch 1184/9999, Iter 118300: Loss = 0.010289640165865421, lr = [5e-05] +[2024-05-21 22:42:27,625] - INFO: Epoch 1184/9999, Iter 118320: Loss = 0.012435291893780231, lr = [5e-05] +[2024-05-21 22:42:42,330] - INFO: Epoch 1184/9999, Iter 118340: Loss = 0.01611226797103882, lr = [5e-05] +[2024-05-21 22:42:57,120] - INFO: Epoch 1184/9999, Iter 118360: Loss = 0.009291412308812141, lr = [5e-05] +[2024-05-21 22:43:11,894] - INFO: Epoch 1184/9999, Iter 118380: Loss = 0.016047358512878418, lr = [5e-05] +[2024-05-21 22:43:27,977] - INFO: Epoch 1185/9999, Iter 118400: Loss = 0.01461385190486908, lr = [5e-05] +[2024-05-21 22:43:42,763] - INFO: Epoch 1185/9999, Iter 118420: Loss = 0.012282933108508587, lr = [5e-05] +[2024-05-21 22:43:57,449] - INFO: Epoch 1185/9999, Iter 118440: Loss = 0.011605441570281982, lr = [5e-05] +[2024-05-21 22:44:12,207] - INFO: Epoch 1185/9999, Iter 118460: Loss = 0.013945847749710083, lr = [5e-05] +[2024-05-21 22:44:26,972] - INFO: Epoch 1185/9999, Iter 118480: Loss = 0.007455929182469845, lr = [5e-05] +[2024-05-21 22:44:41,611] - INFO: Evaluate at epoch 1185! +[2024-05-21 22:45:30,108] - INFO: Eval PSNR (max): 38.052 (1135) SSIM (max): 0.9610 (1185) +[2024-05-21 22:45:30,108] - INFO: Eval PSNR (current): 38.043 (1185) SSIM (current): 0.9610 (1185) +[2024-05-21 22:45:30,108] - INFO: Evaluation over. +[2024-05-21 22:46:15,341] - INFO: Epoch 1186/9999, Iter 118500: Loss = 0.011231958866119385, lr = [5e-05] +[2024-05-21 22:46:29,636] - INFO: Epoch 1186/9999, Iter 118520: Loss = 0.014253972098231316, lr = [5e-05] +[2024-05-21 22:46:44,041] - INFO: Epoch 1186/9999, Iter 118540: Loss = 0.012879658490419388, lr = [5e-05] +[2024-05-21 22:46:58,391] - INFO: Epoch 1186/9999, Iter 118560: Loss = 0.017299389466643333, lr = [5e-05] +[2024-05-21 22:47:12,976] - INFO: Epoch 1186/9999, Iter 118580: Loss = 0.013419589959084988, lr = [5e-05] +[2024-05-21 22:47:28,501] - INFO: Epoch 1187/9999, Iter 118600: Loss = 0.017255563288927078, lr = [5e-05] +[2024-05-21 22:47:43,016] - INFO: Epoch 1187/9999, Iter 118620: Loss = 0.01514831930398941, lr = [5e-05] +[2024-05-21 22:47:57,595] - INFO: Epoch 1187/9999, Iter 118640: Loss = 0.012254644185304642, lr = [5e-05] +[2024-05-21 22:48:12,112] - INFO: Epoch 1187/9999, Iter 118660: Loss = 0.012612709775567055, lr = [5e-05] +[2024-05-21 22:48:26,750] - INFO: Epoch 1187/9999, Iter 118680: Loss = 0.014879535883665085, lr = [5e-05] +[2024-05-21 22:48:42,618] - INFO: Epoch 1188/9999, Iter 118700: Loss = 0.010238912887871265, lr = [5e-05] +[2024-05-21 22:48:57,290] - INFO: Epoch 1188/9999, Iter 118720: Loss = 0.012564764358103275, lr = [5e-05] +[2024-05-21 22:49:11,912] - INFO: Epoch 1188/9999, Iter 118740: Loss = 0.01860153302550316, lr = [5e-05] +[2024-05-21 22:49:26,534] - INFO: Epoch 1188/9999, Iter 118760: Loss = 0.005364647600799799, lr = [5e-05] +[2024-05-21 22:49:41,222] - INFO: Epoch 1188/9999, Iter 118780: Loss = 0.012837530113756657, lr = [5e-05] +[2024-05-21 22:49:57,343] - INFO: Epoch 1189/9999, Iter 118800: Loss = 0.011273165233433247, lr = [5e-05] +[2024-05-21 22:50:12,041] - INFO: Epoch 1189/9999, Iter 118820: Loss = 0.013384758494794369, lr = [5e-05] +[2024-05-21 22:50:26,746] - INFO: Epoch 1189/9999, Iter 118840: Loss = 0.013530963100492954, lr = [5e-05] +[2024-05-21 22:50:41,328] - INFO: Epoch 1189/9999, Iter 118860: Loss = 0.011707029305398464, lr = [5e-05] +[2024-05-21 22:50:55,920] - INFO: Epoch 1189/9999, Iter 118880: Loss = 0.01382387150079012, lr = [5e-05] +[2024-05-21 22:51:12,021] - INFO: Epoch 1190/9999, Iter 118900: Loss = 0.015984227880835533, lr = [5e-05] +[2024-05-21 22:51:26,790] - INFO: Epoch 1190/9999, Iter 118920: Loss = 0.010603595525026321, lr = [5e-05] +[2024-05-21 22:51:41,444] - INFO: Epoch 1190/9999, Iter 118940: Loss = 0.02368709072470665, lr = [5e-05] +[2024-05-21 22:52:13,498] - INFO: Epoch 1190/9999, Iter 118960: Loss = 0.016652675345540047, lr = [5e-05] +[2024-05-21 23:02:24,315] - INFO: Epoch 1190/9999, Iter 118980: Loss = 0.009491018019616604, lr = [5e-05] +[2024-05-21 23:02:38,193] - INFO: Evaluate at epoch 1190! +[2024-05-21 23:03:27,504] - INFO: Eval PSNR (max): 38.052 (1135) SSIM (max): 0.9610 (1190) +[2024-05-21 23:03:27,505] - INFO: Eval PSNR (current): 38.047 (1190) SSIM (current): 0.9610 (1190) +[2024-05-21 23:03:27,505] - INFO: Evaluation over. +[2024-05-21 23:04:13,714] - INFO: Epoch 1191/9999, Iter 119000: Loss = 0.012469318695366383, lr = [5e-05] +[2024-05-21 23:04:27,802] - INFO: Epoch 1191/9999, Iter 119020: Loss = 0.02017851546406746, lr = [5e-05] +[2024-05-21 23:04:41,968] - INFO: Epoch 1191/9999, Iter 119040: Loss = 0.019479403272271156, lr = [5e-05] +[2024-05-21 23:04:56,304] - INFO: Epoch 1191/9999, Iter 119060: Loss = 0.007116932421922684, lr = [5e-05] +[2024-05-21 23:05:10,563] - INFO: Epoch 1191/9999, Iter 119080: Loss = 0.008493965491652489, lr = [5e-05] +[2024-05-21 23:05:26,110] - INFO: Epoch 1192/9999, Iter 119100: Loss = 0.011674662120640278, lr = [5e-05] +[2024-05-21 23:05:40,483] - INFO: Epoch 1192/9999, Iter 119120: Loss = 0.0113677978515625, lr = [5e-05] +[2024-05-21 23:05:54,849] - INFO: Epoch 1192/9999, Iter 119140: Loss = 0.014667605981230736, lr = [5e-05] +[2024-05-21 23:06:09,197] - INFO: Epoch 1192/9999, Iter 119160: Loss = 0.009847062639892101, lr = [5e-05] +[2024-05-21 23:06:23,610] - INFO: Epoch 1192/9999, Iter 119180: Loss = 0.01228475570678711, lr = [5e-05] +[2024-05-21 23:06:39,355] - INFO: Epoch 1193/9999, Iter 119200: Loss = 0.017823008820414543, lr = [5e-05] +[2024-05-21 23:06:54,016] - INFO: Epoch 1193/9999, Iter 119220: Loss = 0.012273717671632767, lr = [5e-05] +[2024-05-21 23:07:08,460] - INFO: Epoch 1193/9999, Iter 119240: Loss = 0.013012854382395744, lr = [5e-05] +[2024-05-21 23:07:23,024] - INFO: Epoch 1193/9999, Iter 119260: Loss = 0.0069116707891225815, lr = [5e-05] +[2024-05-21 23:07:37,627] - INFO: Epoch 1193/9999, Iter 119280: Loss = 0.009909825399518013, lr = [5e-05] +[2024-05-21 23:07:53,764] - INFO: Epoch 1194/9999, Iter 119300: Loss = 0.022614935413002968, lr = [5e-05] +[2024-05-21 23:08:08,412] - INFO: Epoch 1194/9999, Iter 119320: Loss = 0.013805142603814602, lr = [5e-05] +[2024-05-21 23:08:23,249] - INFO: Epoch 1194/9999, Iter 119340: Loss = 0.010709618218243122, lr = [5e-05] +[2024-05-21 23:08:37,764] - INFO: Epoch 1194/9999, Iter 119360: Loss = 0.007950997911393642, lr = [5e-05] +[2024-05-21 23:08:52,404] - INFO: Epoch 1194/9999, Iter 119380: Loss = 0.006633336190134287, lr = [5e-05] +[2024-05-21 23:09:08,425] - INFO: Epoch 1195/9999, Iter 119400: Loss = 0.0064142667688429356, lr = [5e-05] +[2024-05-21 23:09:23,066] - INFO: Epoch 1195/9999, Iter 119420: Loss = 0.01588265411555767, lr = [5e-05] +[2024-05-21 23:09:37,767] - INFO: Epoch 1195/9999, Iter 119440: Loss = 0.017013277858495712, lr = [5e-05] +[2024-05-21 23:10:20,203] - INFO: Epoch 1195/9999, Iter 119460: Loss = 0.011168797500431538, lr = [5e-05] +[2024-05-21 23:11:04,773] - INFO: Epoch 1195/9999, Iter 119480: Loss = 0.012730428948998451, lr = [5e-05] +[2024-05-21 23:11:18,971] - INFO: Evaluate at epoch 1195! +[2024-05-21 23:11:23,925] - INFO: Eval PSNR (max): 38.052 (1135) SSIM (max): 0.9610 (1190) +[2024-05-21 23:11:23,925] - INFO: Eval PSNR (current): 38.021 (1195) SSIM (current): 0.9609 (1195) +[2024-05-21 23:11:23,925] - INFO: Evaluation over. +[2024-05-21 23:12:09,912] - INFO: Epoch 1196/9999, Iter 119500: Loss = 0.01046337652951479, lr = [5e-05] +[2024-05-21 23:12:24,244] - INFO: Epoch 1196/9999, Iter 119520: Loss = 0.010409198701381683, lr = [5e-05] +[2024-05-21 23:12:38,692] - INFO: Epoch 1196/9999, Iter 119540: Loss = 0.014187525026500225, lr = [5e-05] +[2024-05-21 23:12:53,075] - INFO: Epoch 1196/9999, Iter 119560: Loss = 0.005742532201111317, lr = [5e-05] +[2024-05-21 23:13:07,455] - INFO: Epoch 1196/9999, Iter 119580: Loss = 0.018294814974069595, lr = [5e-05] +[2024-05-21 23:13:23,204] - INFO: Epoch 1197/9999, Iter 119600: Loss = 0.01299178134649992, lr = [5e-05] +[2024-05-21 23:13:37,649] - INFO: Epoch 1197/9999, Iter 119620: Loss = 0.006310359109193087, lr = [5e-05] +[2024-05-21 23:13:52,100] - INFO: Epoch 1197/9999, Iter 119640: Loss = 0.012786580249667168, lr = [5e-05] +[2024-05-21 23:14:06,550] - INFO: Epoch 1197/9999, Iter 119660: Loss = 0.009826095774769783, lr = [5e-05] +[2024-05-21 23:14:21,018] - INFO: Epoch 1197/9999, Iter 119680: Loss = 0.01164720393717289, lr = [5e-05] +[2024-05-21 23:14:36,802] - INFO: Epoch 1198/9999, Iter 119700: Loss = 0.011300871148705482, lr = [5e-05] +[2024-05-21 23:14:51,472] - INFO: Epoch 1198/9999, Iter 119720: Loss = 0.023984426632523537, lr = [5e-05] +[2024-05-21 23:15:06,009] - INFO: Epoch 1198/9999, Iter 119740: Loss = 0.01673954725265503, lr = [5e-05] +[2024-05-21 23:15:20,625] - INFO: Epoch 1198/9999, Iter 119760: Loss = 0.022155465558171272, lr = [5e-05] +[2024-05-21 23:15:35,280] - INFO: Epoch 1198/9999, Iter 119780: Loss = 0.012623971328139305, lr = [5e-05] +[2024-05-21 23:15:51,279] - INFO: Epoch 1199/9999, Iter 119800: Loss = 0.014522808603942394, lr = [5e-05] +[2024-05-21 23:16:06,032] - INFO: Epoch 1199/9999, Iter 119820: Loss = 0.013753203675150871, lr = [5e-05] +[2024-05-21 23:16:20,796] - INFO: Epoch 1199/9999, Iter 119840: Loss = 0.009729052893817425, lr = [5e-05] +[2024-05-21 23:16:35,518] - INFO: Epoch 1199/9999, Iter 119860: Loss = 0.004918452352285385, lr = [5e-05] +[2024-05-21 23:17:26,220] - INFO: Epoch 1199/9999, Iter 119880: Loss = 0.015924248844385147, lr = [5e-05] +[2024-05-21 23:17:42,132] - INFO: Epoch 1200/9999, Iter 119900: Loss = 0.012298149056732655, lr = [5e-05] +[2024-05-21 23:17:56,596] - INFO: Epoch 1200/9999, Iter 119920: Loss = 0.01760624721646309, lr = [5e-05] +[2024-05-21 23:18:11,066] - INFO: Epoch 1200/9999, Iter 119940: Loss = 0.016927361488342285, lr = [5e-05] +[2024-05-21 23:18:25,566] - INFO: Epoch 1200/9999, Iter 119960: Loss = 0.010780339129269123, lr = [5e-05] +[2024-05-21 23:18:40,094] - INFO: Epoch 1200/9999, Iter 119980: Loss = 0.010757120326161385, lr = [5e-05] +[2024-05-21 23:18:54,314] - INFO: Evaluate at epoch 1200! +[2024-05-21 23:18:59,158] - INFO: Eval PSNR (max): 38.052 (1135) SSIM (max): 0.9610 (1190) +[2024-05-21 23:18:59,158] - INFO: Eval PSNR (current): 38.039 (1200) SSIM (current): 0.9609 (1200) +[2024-05-21 23:18:59,158] - INFO: Evaluation over. +[2024-05-21 23:19:44,572] - INFO: Epoch 1201/9999, Iter 120000: Loss = 0.016360685229301453, lr = [5e-05] +[2024-05-21 23:19:58,992] - INFO: Epoch 1201/9999, Iter 120020: Loss = 0.01300793793052435, lr = [5e-05] +[2024-05-21 23:20:13,412] - INFO: Epoch 1201/9999, Iter 120040: Loss = 0.012201756238937378, lr = [5e-05] +[2024-05-21 23:20:27,755] - INFO: Epoch 1201/9999, Iter 120060: Loss = 0.011561649851500988, lr = [5e-05] +[2024-05-21 23:20:42,198] - INFO: Epoch 1201/9999, Iter 120080: Loss = 0.020674599334597588, lr = [5e-05] +[2024-05-21 23:20:57,823] - INFO: Epoch 1202/9999, Iter 120100: Loss = 0.009222688153386116, lr = [5e-05] +[2024-05-21 23:21:12,256] - INFO: Epoch 1202/9999, Iter 120120: Loss = 0.009756337851285934, lr = [5e-05] +[2024-05-21 23:21:26,800] - INFO: Epoch 1202/9999, Iter 120140: Loss = 0.01108521781861782, lr = [5e-05] +[2024-05-21 23:21:41,269] - INFO: Epoch 1202/9999, Iter 120160: Loss = 0.017620764672756195, lr = [5e-05] +[2024-05-21 23:21:55,812] - INFO: Epoch 1202/9999, Iter 120180: Loss = 0.012974805198609829, lr = [5e-05] +[2024-05-21 23:22:11,556] - INFO: Epoch 1203/9999, Iter 120200: Loss = 0.016232771798968315, lr = [5e-05] +[2024-05-21 23:22:26,082] - INFO: Epoch 1203/9999, Iter 120220: Loss = 0.010873778723180294, lr = [5e-05] +[2024-05-21 23:22:40,693] - INFO: Epoch 1203/9999, Iter 120240: Loss = 0.011747222393751144, lr = [5e-05] +[2024-05-21 23:22:55,337] - INFO: Epoch 1203/9999, Iter 120260: Loss = 0.016162903979420662, lr = [5e-05] +[2024-05-21 23:23:09,926] - INFO: Epoch 1203/9999, Iter 120280: Loss = 0.015880947932600975, lr = [5e-05] +[2024-05-21 23:23:25,892] - INFO: Epoch 1204/9999, Iter 120300: Loss = 0.010200093500316143, lr = [5e-05] +[2024-05-21 23:23:40,613] - INFO: Epoch 1204/9999, Iter 120320: Loss = 0.01444397121667862, lr = [5e-05] +[2024-05-21 23:23:55,212] - INFO: Epoch 1204/9999, Iter 120340: Loss = 0.015400709584355354, lr = [5e-05] +[2024-05-21 23:24:09,831] - INFO: Epoch 1204/9999, Iter 120360: Loss = 0.008471704088151455, lr = [5e-05] +[2024-05-21 23:24:24,538] - INFO: Epoch 1204/9999, Iter 120380: Loss = 0.012496023438870907, lr = [5e-05] +[2024-05-21 23:24:40,573] - INFO: Epoch 1205/9999, Iter 120400: Loss = 0.014274964109063148, lr = [5e-05] +[2024-05-21 23:24:55,290] - INFO: Epoch 1205/9999, Iter 120420: Loss = 0.01319298055022955, lr = [5e-05] +[2024-05-21 23:25:09,965] - INFO: Epoch 1205/9999, Iter 120440: Loss = 0.008281160145998001, lr = [5e-05] +[2024-05-21 23:25:24,694] - INFO: Epoch 1205/9999, Iter 120460: Loss = 0.012614808045327663, lr = [5e-05] +[2024-05-21 23:25:39,408] - INFO: Epoch 1205/9999, Iter 120480: Loss = 0.011303814128041267, lr = [5e-05] +[2024-05-21 23:25:53,788] - INFO: Evaluate at epoch 1205! +[2024-05-21 23:25:58,688] - INFO: Eval PSNR (max): 38.052 (1135) SSIM (max): 0.9610 (1190) +[2024-05-21 23:25:58,688] - INFO: Eval PSNR (current): 38.038 (1205) SSIM (current): 0.9609 (1205) +[2024-05-21 23:25:58,688] - INFO: Evaluation over. +[2024-05-21 23:26:44,208] - INFO: Epoch 1206/9999, Iter 120500: Loss = 0.013464354909956455, lr = [5e-05] +[2024-05-21 23:26:58,877] - INFO: Epoch 1206/9999, Iter 120520: Loss = 0.006287794094532728, lr = [5e-05] +[2024-05-21 23:27:13,374] - INFO: Epoch 1206/9999, Iter 120540: Loss = 0.008837517350912094, lr = [5e-05] +[2024-05-21 23:27:27,824] - INFO: Epoch 1206/9999, Iter 120560: Loss = 0.01257901731878519, lr = [5e-05] +[2024-05-21 23:27:42,280] - INFO: Epoch 1206/9999, Iter 120580: Loss = 0.010921208187937737, lr = [5e-05] +[2024-05-21 23:27:57,922] - INFO: Epoch 1207/9999, Iter 120600: Loss = 0.01996234618127346, lr = [5e-05] +[2024-05-21 23:28:12,427] - INFO: Epoch 1207/9999, Iter 120620: Loss = 0.01446110662072897, lr = [5e-05] +[2024-05-21 23:28:27,103] - INFO: Epoch 1207/9999, Iter 120640: Loss = 0.011201445944607258, lr = [5e-05] +[2024-05-21 23:28:41,567] - INFO: Epoch 1207/9999, Iter 120660: Loss = 0.008682899177074432, lr = [5e-05] +[2024-05-21 23:28:56,124] - INFO: Epoch 1207/9999, Iter 120680: Loss = 0.00834739301353693, lr = [5e-05] +[2024-05-21 23:29:11,852] - INFO: Epoch 1208/9999, Iter 120700: Loss = 0.008637256920337677, lr = [5e-05] +[2024-05-21 23:29:26,512] - INFO: Epoch 1208/9999, Iter 120720: Loss = 0.014689182862639427, lr = [5e-05] +[2024-05-21 23:29:41,153] - INFO: Epoch 1208/9999, Iter 120740: Loss = 0.009616211988031864, lr = [5e-05] +[2024-05-21 23:29:55,835] - INFO: Epoch 1208/9999, Iter 120760: Loss = 0.012124622240662575, lr = [5e-05] +[2024-05-21 23:30:10,420] - INFO: Epoch 1208/9999, Iter 120780: Loss = 0.01867583766579628, lr = [5e-05] +[2024-05-21 23:30:26,360] - INFO: Epoch 1209/9999, Iter 120800: Loss = 0.009138364344835281, lr = [5e-05] +[2024-05-21 23:30:41,139] - INFO: Epoch 1209/9999, Iter 120820: Loss = 0.017067020758986473, lr = [5e-05] +[2024-05-21 23:30:55,826] - INFO: Epoch 1209/9999, Iter 120840: Loss = 0.015194033272564411, lr = [5e-05] +[2024-05-21 23:31:10,484] - INFO: Epoch 1209/9999, Iter 120860: Loss = 0.011229563504457474, lr = [5e-05] +[2024-05-21 23:31:25,258] - INFO: Epoch 1209/9999, Iter 120880: Loss = 0.010821759700775146, lr = [5e-05] +[2024-05-21 23:31:41,268] - INFO: Epoch 1210/9999, Iter 120900: Loss = 0.012290019541978836, lr = [5e-05] +[2024-05-21 23:31:56,050] - INFO: Epoch 1210/9999, Iter 120920: Loss = 0.011939524672925472, lr = [5e-05] +[2024-05-21 23:32:10,776] - INFO: Epoch 1210/9999, Iter 120940: Loss = 0.013083575293421745, lr = [5e-05] +[2024-05-21 23:32:25,511] - INFO: Epoch 1210/9999, Iter 120960: Loss = 0.01913234405219555, lr = [5e-05] +[2024-05-21 23:32:40,151] - INFO: Epoch 1210/9999, Iter 120980: Loss = 0.010143326595425606, lr = [5e-05] +[2024-05-21 23:32:54,491] - INFO: Evaluate at epoch 1210! +[2024-05-21 23:32:59,306] - INFO: Eval PSNR (max): 38.052 (1135) SSIM (max): 0.9610 (1190) +[2024-05-21 23:32:59,306] - INFO: Eval PSNR (current): 37.981 (1210) SSIM (current): 0.9609 (1210) +[2024-05-21 23:32:59,306] - INFO: Evaluation over. +[2024-05-21 23:33:44,720] - INFO: Epoch 1211/9999, Iter 121000: Loss = 0.009054392576217651, lr = [5e-05] +[2024-05-21 23:33:59,229] - INFO: Epoch 1211/9999, Iter 121020: Loss = 0.012408815324306488, lr = [5e-05] +[2024-05-21 23:34:13,725] - INFO: Epoch 1211/9999, Iter 121040: Loss = 0.01028513815253973, lr = [5e-05] +[2024-05-21 23:34:28,224] - INFO: Epoch 1211/9999, Iter 121060: Loss = 0.01947908103466034, lr = [5e-05] +[2024-05-21 23:34:42,718] - INFO: Epoch 1211/9999, Iter 121080: Loss = 0.02359692193567753, lr = [5e-05] +[2024-05-21 23:34:58,418] - INFO: Epoch 1212/9999, Iter 121100: Loss = 0.013486005365848541, lr = [5e-05] +[2024-05-21 23:35:12,994] - INFO: Epoch 1212/9999, Iter 121120: Loss = 0.01004132442176342, lr = [5e-05] +[2024-05-21 23:35:27,536] - INFO: Epoch 1212/9999, Iter 121140: Loss = 0.012618931010365486, lr = [5e-05] +[2024-05-21 23:35:42,124] - INFO: Epoch 1212/9999, Iter 121160: Loss = 0.016269877552986145, lr = [5e-05] +[2024-05-21 23:35:56,751] - INFO: Epoch 1212/9999, Iter 121180: Loss = 0.019261855632066727, lr = [5e-05] +[2024-05-21 23:36:12,654] - INFO: Epoch 1213/9999, Iter 121200: Loss = 0.011389998719096184, lr = [5e-05] +[2024-05-21 23:36:27,360] - INFO: Epoch 1213/9999, Iter 121220: Loss = 0.011978456750512123, lr = [5e-05] +[2024-05-21 23:36:42,057] - INFO: Epoch 1213/9999, Iter 121240: Loss = 0.016419634222984314, lr = [5e-05] +[2024-05-21 23:36:56,794] - INFO: Epoch 1213/9999, Iter 121260: Loss = 0.005231890361756086, lr = [5e-05] +[2024-05-21 23:37:11,556] - INFO: Epoch 1213/9999, Iter 121280: Loss = 0.010550854727625847, lr = [5e-05] +[2024-05-21 23:37:27,642] - INFO: Epoch 1214/9999, Iter 121300: Loss = 0.01508548203855753, lr = [5e-05] +[2024-05-21 23:37:42,454] - INFO: Epoch 1214/9999, Iter 121320: Loss = 0.017747141420841217, lr = [5e-05] +[2024-05-21 23:37:57,275] - INFO: Epoch 1214/9999, Iter 121340: Loss = 0.012937330640852451, lr = [5e-05] +[2024-05-21 23:38:12,040] - INFO: Epoch 1214/9999, Iter 121360: Loss = 0.006775843910872936, lr = [5e-05] +[2024-05-21 23:38:26,755] - INFO: Epoch 1214/9999, Iter 121380: Loss = 0.01742979697883129, lr = [5e-05] +[2024-05-21 23:38:42,675] - INFO: Epoch 1215/9999, Iter 121400: Loss = 0.021328559145331383, lr = [5e-05] +[2024-05-21 23:38:57,693] - INFO: Epoch 1215/9999, Iter 121420: Loss = 0.006168699823319912, lr = [5e-05] +[2024-05-21 23:39:12,476] - INFO: Epoch 1215/9999, Iter 121440: Loss = 0.010622180067002773, lr = [5e-05] +[2024-05-21 23:39:27,268] - INFO: Epoch 1215/9999, Iter 121460: Loss = 0.019170604646205902, lr = [5e-05] +[2024-05-21 23:39:42,119] - INFO: Epoch 1215/9999, Iter 121480: Loss = 0.012658230029046535, lr = [5e-05] +[2024-05-21 23:39:56,562] - INFO: Evaluate at epoch 1215! +[2024-05-21 23:40:01,402] - INFO: Eval PSNR (max): 38.052 (1135) SSIM (max): 0.9610 (1190) +[2024-05-21 23:40:01,403] - INFO: Eval PSNR (current): 38.020 (1215) SSIM (current): 0.9609 (1215) +[2024-05-21 23:40:01,403] - INFO: Evaluation over. +[2024-05-21 23:40:47,020] - INFO: Epoch 1216/9999, Iter 121500: Loss = 0.01563609205186367, lr = [5e-05] +[2024-05-21 23:41:01,566] - INFO: Epoch 1216/9999, Iter 121520: Loss = 0.011958320625126362, lr = [5e-05] +[2024-05-21 23:41:16,268] - INFO: Epoch 1216/9999, Iter 121540: Loss = 0.01440088264644146, lr = [5e-05] +[2024-05-21 23:41:30,744] - INFO: Epoch 1216/9999, Iter 121560: Loss = 0.009788746014237404, lr = [5e-05] +[2024-05-21 23:41:45,208] - INFO: Epoch 1216/9999, Iter 121580: Loss = 0.008210165426135063, lr = [5e-05] +[2024-05-21 23:42:00,923] - INFO: Epoch 1217/9999, Iter 121600: Loss = 0.007672061678022146, lr = [5e-05] +[2024-05-21 23:42:15,476] - INFO: Epoch 1217/9999, Iter 121620: Loss = 0.012637697160243988, lr = [5e-05] +[2024-05-21 23:42:30,032] - INFO: Epoch 1217/9999, Iter 121640: Loss = 0.009725559502840042, lr = [5e-05] +[2024-05-21 23:42:44,559] - INFO: Epoch 1217/9999, Iter 121660: Loss = 0.014011281542479992, lr = [5e-05] +[2024-05-21 23:42:59,300] - INFO: Epoch 1217/9999, Iter 121680: Loss = 0.00598895875737071, lr = [5e-05] +[2024-05-21 23:43:15,221] - INFO: Epoch 1218/9999, Iter 121700: Loss = 0.014087440446019173, lr = [5e-05] +[2024-05-21 23:43:29,942] - INFO: Epoch 1218/9999, Iter 121720: Loss = 0.013006340712308884, lr = [5e-05] +[2024-05-21 23:43:44,578] - INFO: Epoch 1218/9999, Iter 121740: Loss = 0.012447107583284378, lr = [5e-05] +[2024-05-21 23:43:59,314] - INFO: Epoch 1218/9999, Iter 121760: Loss = 0.015226130373775959, lr = [5e-05] +[2024-05-21 23:44:14,026] - INFO: Epoch 1218/9999, Iter 121780: Loss = 0.012162446044385433, lr = [5e-05] +[2024-05-21 23:44:29,996] - INFO: Epoch 1219/9999, Iter 121800: Loss = 0.011351113207638264, lr = [5e-05] +[2024-05-21 23:44:44,690] - INFO: Epoch 1219/9999, Iter 121820: Loss = 0.010529200546443462, lr = [5e-05] +[2024-05-21 23:44:59,377] - INFO: Epoch 1219/9999, Iter 121840: Loss = 0.016496805474162102, lr = [5e-05] +[2024-05-21 23:45:13,994] - INFO: Epoch 1219/9999, Iter 121860: Loss = 0.011081911623477936, lr = [5e-05] +[2024-05-21 23:45:28,661] - INFO: Epoch 1219/9999, Iter 121880: Loss = 0.024788010865449905, lr = [5e-05] +[2024-05-21 23:45:44,544] - INFO: Epoch 1220/9999, Iter 121900: Loss = 0.009132865816354752, lr = [5e-05] +[2024-05-21 23:45:59,348] - INFO: Epoch 1220/9999, Iter 121920: Loss = 0.004938849713653326, lr = [5e-05] +[2024-05-21 23:46:14,010] - INFO: Epoch 1220/9999, Iter 121940: Loss = 0.013489680364727974, lr = [5e-05] +[2024-05-21 23:46:28,671] - INFO: Epoch 1220/9999, Iter 121960: Loss = 0.013178055174648762, lr = [5e-05] +[2024-05-21 23:46:43,440] - INFO: Epoch 1220/9999, Iter 121980: Loss = 0.009099896997213364, lr = [5e-05] +[2024-05-21 23:46:57,805] - INFO: Evaluate at epoch 1220! +[2024-05-21 23:47:48,134] - INFO: Eval PSNR (max): 38.052 (1135) SSIM (max): 0.9611 (1220) +[2024-05-21 23:47:48,135] - INFO: Eval PSNR (current): 38.012 (1220) SSIM (current): 0.9611 (1220) +[2024-05-21 23:47:48,135] - INFO: Evaluation over. +[2024-05-21 23:48:33,284] - INFO: Epoch 1221/9999, Iter 122000: Loss = 0.01378642302006483, lr = [5e-05] +[2024-05-21 23:48:47,665] - INFO: Epoch 1221/9999, Iter 122020: Loss = 0.013683485798537731, lr = [5e-05] +[2024-05-21 23:49:02,100] - INFO: Epoch 1221/9999, Iter 122040: Loss = 0.014136431738734245, lr = [5e-05] +[2024-05-21 23:49:16,624] - INFO: Epoch 1221/9999, Iter 122060: Loss = 0.021879946812987328, lr = [5e-05] +[2024-05-21 23:49:30,946] - INFO: Epoch 1221/9999, Iter 122080: Loss = 0.01466425508260727, lr = [5e-05] +[2024-05-21 23:49:46,600] - INFO: Epoch 1222/9999, Iter 122100: Loss = 0.013142431154847145, lr = [5e-05] +[2024-05-21 23:50:01,152] - INFO: Epoch 1222/9999, Iter 122120: Loss = 0.012551029212772846, lr = [5e-05] +[2024-05-21 23:50:15,588] - INFO: Epoch 1222/9999, Iter 122140: Loss = 0.011093965731561184, lr = [5e-05] +[2024-05-21 23:50:30,095] - INFO: Epoch 1222/9999, Iter 122160: Loss = 0.009020889177918434, lr = [5e-05] +[2024-05-21 23:50:44,593] - INFO: Epoch 1222/9999, Iter 122180: Loss = 0.014991258271038532, lr = [5e-05] +[2024-05-21 23:51:00,327] - INFO: Epoch 1223/9999, Iter 122200: Loss = 0.013661148026585579, lr = [5e-05] +[2024-05-21 23:51:14,983] - INFO: Epoch 1223/9999, Iter 122220: Loss = 0.01342158205807209, lr = [5e-05] +[2024-05-21 23:51:29,568] - INFO: Epoch 1223/9999, Iter 122240: Loss = 0.017783015966415405, lr = [5e-05] +[2024-05-21 23:51:44,199] - INFO: Epoch 1223/9999, Iter 122260: Loss = 0.009462793357670307, lr = [5e-05] +[2024-05-21 23:51:58,868] - INFO: Epoch 1223/9999, Iter 122280: Loss = 0.007465584669262171, lr = [5e-05] +[2024-05-21 23:52:14,748] - INFO: Epoch 1224/9999, Iter 122300: Loss = 0.020721951499581337, lr = [5e-05] +[2024-05-21 23:52:29,494] - INFO: Epoch 1224/9999, Iter 122320: Loss = 0.010853911750018597, lr = [5e-05] +[2024-05-21 23:52:44,199] - INFO: Epoch 1224/9999, Iter 122340: Loss = 0.017581136897206306, lr = [5e-05] +[2024-05-21 23:52:58,936] - INFO: Epoch 1224/9999, Iter 122360: Loss = 0.012356382794678211, lr = [5e-05] +[2024-05-21 23:53:13,692] - INFO: Epoch 1224/9999, Iter 122380: Loss = 0.00917817186564207, lr = [5e-05] +[2024-05-21 23:53:29,529] - INFO: Epoch 1225/9999, Iter 122400: Loss = 0.016767237335443497, lr = [5e-05] +[2024-05-21 23:53:44,363] - INFO: Epoch 1225/9999, Iter 122420: Loss = 0.01806570030748844, lr = [5e-05] +[2024-05-21 23:53:59,180] - INFO: Epoch 1225/9999, Iter 122440: Loss = 0.010784364305436611, lr = [5e-05] +[2024-05-21 23:54:13,919] - INFO: Epoch 1225/9999, Iter 122460: Loss = 0.011113952845335007, lr = [5e-05] +[2024-05-21 23:54:28,861] - INFO: Epoch 1225/9999, Iter 122480: Loss = 0.01060224138200283, lr = [5e-05] +[2024-05-21 23:54:43,315] - INFO: Evaluate at epoch 1225! +[2024-05-21 23:54:48,155] - INFO: Eval PSNR (max): 38.052 (1135) SSIM (max): 0.9611 (1220) +[2024-05-21 23:54:48,155] - INFO: Eval PSNR (current): 38.041 (1225) SSIM (current): 0.9609 (1225) +[2024-05-21 23:54:48,155] - INFO: Evaluation over. +[2024-05-21 23:55:33,468] - INFO: Epoch 1226/9999, Iter 122500: Loss = 0.009718717075884342, lr = [5e-05] +[2024-05-21 23:55:47,984] - INFO: Epoch 1226/9999, Iter 122520: Loss = 0.0148734450340271, lr = [5e-05] +[2024-05-21 23:56:02,442] - INFO: Epoch 1226/9999, Iter 122540: Loss = 0.007264295592904091, lr = [5e-05] +[2024-05-21 23:56:16,880] - INFO: Epoch 1226/9999, Iter 122560: Loss = 0.01789676584303379, lr = [5e-05] +[2024-05-21 23:56:31,460] - INFO: Epoch 1226/9999, Iter 122580: Loss = 0.015788741409778595, lr = [5e-05] +[2024-05-21 23:56:47,287] - INFO: Epoch 1227/9999, Iter 122600: Loss = 0.00837097316980362, lr = [5e-05] +[2024-05-21 23:57:01,768] - INFO: Epoch 1227/9999, Iter 122620: Loss = 0.013449246995151043, lr = [5e-05] +[2024-05-21 23:57:16,316] - INFO: Epoch 1227/9999, Iter 122640: Loss = 0.01312475185841322, lr = [5e-05] +[2024-05-21 23:57:30,904] - INFO: Epoch 1227/9999, Iter 122660: Loss = 0.01604324020445347, lr = [5e-05] +[2024-05-21 23:57:45,460] - INFO: Epoch 1227/9999, Iter 122680: Loss = 0.01675191894173622, lr = [5e-05] +[2024-05-21 23:58:01,280] - INFO: Epoch 1228/9999, Iter 122700: Loss = 0.007314989808946848, lr = [5e-05] +[2024-05-21 23:58:15,900] - INFO: Epoch 1228/9999, Iter 122720: Loss = 0.01783718168735504, lr = [5e-05] +[2024-05-21 23:58:30,641] - INFO: Epoch 1228/9999, Iter 122740: Loss = 0.013161048293113708, lr = [5e-05] +[2024-05-21 23:58:45,356] - INFO: Epoch 1228/9999, Iter 122760: Loss = 0.009301303885877132, lr = [5e-05] +[2024-05-21 23:59:00,050] - INFO: Epoch 1228/9999, Iter 122780: Loss = 0.013013513758778572, lr = [5e-05] +[2024-05-21 23:59:16,237] - INFO: Epoch 1229/9999, Iter 122800: Loss = 0.01042583305388689, lr = [5e-05] +[2024-05-21 23:59:31,057] - INFO: Epoch 1229/9999, Iter 122820: Loss = 0.015981316566467285, lr = [5e-05] +[2024-05-21 23:59:45,866] - INFO: Epoch 1229/9999, Iter 122840: Loss = 0.016407722607254982, lr = [5e-05] +[2024-05-22 00:00:00,664] - INFO: Epoch 1229/9999, Iter 122860: Loss = 0.012347842566668987, lr = [5e-05] +[2024-05-22 00:00:15,436] - INFO: Epoch 1229/9999, Iter 122880: Loss = 0.014230137690901756, lr = [5e-05] +[2024-05-22 00:00:31,521] - INFO: Epoch 1230/9999, Iter 122900: Loss = 0.01490330696105957, lr = [5e-05] +[2024-05-22 00:00:46,311] - INFO: Epoch 1230/9999, Iter 122920: Loss = 0.012879089452326298, lr = [5e-05] +[2024-05-22 00:01:01,105] - INFO: Epoch 1230/9999, Iter 122940: Loss = 0.016099488362669945, lr = [5e-05] +[2024-05-22 00:01:15,908] - INFO: Epoch 1230/9999, Iter 122960: Loss = 0.008338497020304203, lr = [5e-05] +[2024-05-22 00:01:30,677] - INFO: Epoch 1230/9999, Iter 122980: Loss = 0.014258605428040028, lr = [5e-05] +[2024-05-22 00:01:45,133] - INFO: Evaluate at epoch 1230! +[2024-05-22 00:01:49,940] - INFO: Eval PSNR (max): 38.052 (1135) SSIM (max): 0.9611 (1220) +[2024-05-22 00:01:49,941] - INFO: Eval PSNR (current): 38.012 (1230) SSIM (current): 0.9611 (1230) +[2024-05-22 00:01:49,941] - INFO: Evaluation over. +[2024-05-22 00:02:35,510] - INFO: Epoch 1231/9999, Iter 123000: Loss = 0.01597326062619686, lr = [5e-05] +[2024-05-22 00:02:50,042] - INFO: Epoch 1231/9999, Iter 123020: Loss = 0.0204590056091547, lr = [5e-05] +[2024-05-22 00:03:04,576] - INFO: Epoch 1231/9999, Iter 123040: Loss = 0.013190167024731636, lr = [5e-05] +[2024-05-22 00:03:19,072] - INFO: Epoch 1231/9999, Iter 123060: Loss = 0.011324773542582989, lr = [5e-05] +[2024-05-22 00:03:33,616] - INFO: Epoch 1231/9999, Iter 123080: Loss = 0.0171905979514122, lr = [5e-05] +[2024-05-22 00:03:49,488] - INFO: Epoch 1232/9999, Iter 123100: Loss = 0.008041325956583023, lr = [5e-05] +[2024-05-22 00:04:04,230] - INFO: Epoch 1232/9999, Iter 123120: Loss = 0.006249937694519758, lr = [5e-05] +[2024-05-22 00:04:18,800] - INFO: Epoch 1232/9999, Iter 123140: Loss = 0.010832052677869797, lr = [5e-05] +[2024-05-22 00:04:33,382] - INFO: Epoch 1232/9999, Iter 123160: Loss = 0.013249210081994534, lr = [5e-05] +[2024-05-22 00:04:47,970] - INFO: Epoch 1232/9999, Iter 123180: Loss = 0.0173530001193285, lr = [5e-05] +[2024-05-22 00:05:03,729] - INFO: Epoch 1233/9999, Iter 123200: Loss = 0.015634039416909218, lr = [5e-05] +[2024-05-22 00:05:18,422] - INFO: Epoch 1233/9999, Iter 123220: Loss = 0.007004651706665754, lr = [5e-05] +[2024-05-22 00:05:33,027] - INFO: Epoch 1233/9999, Iter 123240: Loss = 0.012333054095506668, lr = [5e-05] +[2024-05-22 00:05:47,702] - INFO: Epoch 1233/9999, Iter 123260: Loss = 0.011167633347213268, lr = [5e-05] +[2024-05-22 00:06:02,442] - INFO: Epoch 1233/9999, Iter 123280: Loss = 0.02166200615465641, lr = [5e-05] +[2024-05-22 00:06:18,504] - INFO: Epoch 1234/9999, Iter 123300: Loss = 0.014646599069237709, lr = [5e-05] +[2024-05-22 00:06:33,239] - INFO: Epoch 1234/9999, Iter 123320: Loss = 0.011436029337346554, lr = [5e-05] +[2024-05-22 00:06:47,885] - INFO: Epoch 1234/9999, Iter 123340: Loss = 0.01527789980173111, lr = [5e-05] +[2024-05-22 00:07:02,504] - INFO: Epoch 1234/9999, Iter 123360: Loss = 0.010211276821792126, lr = [5e-05] +[2024-05-22 00:07:17,259] - INFO: Epoch 1234/9999, Iter 123380: Loss = 0.007941929623484612, lr = [5e-05] diff --git a/DNAN/DNAN_2.log b/DNAN/DNAN_2.log new file mode 100644 index 0000000000000000000000000000000000000000..efbc89bc070e07ff635a8c4a48d4c17495391378 --- /dev/null +++ b/DNAN/DNAN_2.log @@ -0,0 +1,7950 @@ +[2024-05-25 09:37:47,171] - INFO: LOGGER SETUP COMPLETED +[2024-05-25 09:37:47,177] - INFO: DATASET LOADED +[2024-05-25 09:37:48,324] - INFO: MODEL LOADED +[2024-05-25 09:37:48,324] - INFO: Device: cuda +[2024-05-25 09:38:13,937] - INFO: Load Pretrained model at epoch 1230 +[2024-05-25 09:38:17,384] - INFO: Epoch 1231/9999, Iter 123000: Loss = 0.007583480328321457, lr = [0.0001] +[2024-05-25 09:38:50,020] - INFO: Epoch 1231/9999, Iter 123040: Loss = 0.014803539030253887, lr = [0.0001] +[2024-05-25 09:39:22,181] - INFO: Epoch 1231/9999, Iter 123080: Loss = 0.017268700525164604, lr = [0.0001] +[2024-05-25 09:39:52,819] - INFO: Epoch 1232/9999, Iter 123120: Loss = 0.2484104037284851, lr = [0.0001] +[2024-05-25 09:40:20,128] - INFO: Epoch 1232/9999, Iter 123160: Loss = 0.054747387766838074, lr = [0.0001] +[2024-05-25 09:40:48,597] - INFO: Epoch 1233/9999, Iter 123200: Loss = 0.03013661503791809, lr = [0.0001] +[2024-05-25 09:41:15,910] - INFO: Epoch 1233/9999, Iter 123240: Loss = 0.021420443430542946, lr = [0.0001] +[2024-05-25 09:41:43,175] - INFO: Epoch 1233/9999, Iter 123280: Loss = 0.03346968814730644, lr = [0.0001] +[2024-05-25 09:42:12,056] - INFO: Epoch 1234/9999, Iter 123320: Loss = 0.01769791729748249, lr = [0.0001] +[2024-05-25 09:42:39,212] - INFO: Epoch 1234/9999, Iter 123360: Loss = 0.009408684447407722, lr = [0.0001] +[2024-05-25 09:43:07,900] - INFO: Epoch 1235/9999, Iter 123400: Loss = 0.013964264653623104, lr = [0.0001] +[2024-05-25 09:43:35,145] - INFO: Epoch 1235/9999, Iter 123440: Loss = 0.015512644313275814, lr = [0.0001] +[2024-05-25 09:44:02,381] - INFO: Epoch 1235/9999, Iter 123480: Loss = 0.013721046969294548, lr = [0.0001] +[2024-05-25 09:44:15,639] - INFO: Evaluate at epoch 1235! +[2024-05-25 09:44:20,508] - INFO: Eval PSNR (max): 38.052 (1135) SSIM (max): 0.9611 (1220) +[2024-05-25 09:44:20,509] - INFO: Eval PSNR (current): 37.436 (1235) SSIM (current): 0.9584 (1235) +[2024-05-25 09:44:20,509] - INFO: Evaluation over. +[2024-05-25 09:44:41,119] - INFO: Epoch 1236/9999, Iter 123520: Loss = 0.020826658234000206, lr = [0.0001] +[2024-05-25 09:45:08,365] - INFO: Epoch 1236/9999, Iter 123560: Loss = 0.014905352145433426, lr = [0.0001] +[2024-05-25 09:45:36,829] - INFO: Epoch 1237/9999, Iter 123600: Loss = 0.019654879346489906, lr = [0.0001] +[2024-05-25 09:46:04,117] - INFO: Epoch 1237/9999, Iter 123640: Loss = 0.015454371459782124, lr = [0.0001] +[2024-05-25 09:46:31,347] - INFO: Epoch 1237/9999, Iter 123680: Loss = 0.015785928815603256, lr = [0.0001] +[2024-05-25 09:46:59,958] - INFO: Epoch 1238/9999, Iter 123720: Loss = 0.012792878784239292, lr = [0.0001] +[2024-05-25 09:47:27,170] - INFO: Epoch 1238/9999, Iter 123760: Loss = 0.0048261540941894054, lr = [0.0001] +[2024-05-25 09:47:55,689] - INFO: Epoch 1239/9999, Iter 123800: Loss = 0.016939181834459305, lr = [0.0001] +[2024-05-25 09:48:22,995] - INFO: Epoch 1239/9999, Iter 123840: Loss = 0.009252737276256084, lr = [0.0001] +[2024-05-25 09:48:50,219] - INFO: Epoch 1239/9999, Iter 123880: Loss = 0.006328398361802101, lr = [0.0001] +[2024-05-25 09:49:19,077] - INFO: Epoch 1240/9999, Iter 123920: Loss = 0.008598309010267258, lr = [0.0001] +[2024-05-25 09:49:46,337] - INFO: Epoch 1240/9999, Iter 123960: Loss = 0.009172867983579636, lr = [0.0001] +[2024-05-25 09:50:13,281] - INFO: Evaluate at epoch 1240! +[2024-05-25 09:50:18,026] - INFO: Eval PSNR (max): 38.052 (1135) SSIM (max): 0.9611 (1220) +[2024-05-25 09:50:18,026] - INFO: Eval PSNR (current): 37.751 (1240) SSIM (current): 0.9597 (1240) +[2024-05-25 09:50:18,026] - INFO: Evaluation over. +[2024-05-25 09:50:25,012] - INFO: Epoch 1241/9999, Iter 124000: Loss = 0.011218241415917873, lr = [0.0001] +[2024-05-25 09:50:52,332] - INFO: Epoch 1241/9999, Iter 124040: Loss = 0.02134658768773079, lr = [0.0001] +[2024-05-25 09:51:19,574] - INFO: Epoch 1241/9999, Iter 124080: Loss = 0.010198734700679779, lr = [0.0001] +[2024-05-25 09:51:48,064] - INFO: Epoch 1242/9999, Iter 124120: Loss = 0.018143899738788605, lr = [0.0001] +[2024-05-25 09:52:15,226] - INFO: Epoch 1242/9999, Iter 124160: Loss = 0.020088214427232742, lr = [0.0001] +[2024-05-25 09:52:43,835] - INFO: Epoch 1243/9999, Iter 124200: Loss = 0.015730377286672592, lr = [0.0001] +[2024-05-25 09:53:11,193] - INFO: Epoch 1243/9999, Iter 124240: Loss = 0.010240723378956318, lr = [0.0001] +[2024-05-25 09:53:38,416] - INFO: Epoch 1243/9999, Iter 124280: Loss = 0.008331035263836384, lr = [0.0001] +[2024-05-25 09:54:07,297] - INFO: Epoch 1244/9999, Iter 124320: Loss = 0.020700139924883842, lr = [0.0001] +[2024-05-25 09:54:34,495] - INFO: Epoch 1244/9999, Iter 124360: Loss = 0.008619730360805988, lr = [0.0001] +[2024-05-25 09:55:02,956] - INFO: Epoch 1245/9999, Iter 124400: Loss = 0.014155951328575611, lr = [0.0001] +[2024-05-25 09:55:30,327] - INFO: Epoch 1245/9999, Iter 124440: Loss = 0.01168635580688715, lr = [0.0001] +[2024-05-25 09:55:57,490] - INFO: Epoch 1245/9999, Iter 124480: Loss = 0.013782459311187267, lr = [0.0001] +[2024-05-25 09:56:10,770] - INFO: Evaluate at epoch 1245! +[2024-05-25 09:56:15,582] - INFO: Eval PSNR (max): 38.052 (1135) SSIM (max): 0.9611 (1220) +[2024-05-25 09:56:15,582] - INFO: Eval PSNR (current): 37.829 (1245) SSIM (current): 0.9601 (1245) +[2024-05-25 09:56:15,582] - INFO: Evaluation over. +[2024-05-25 09:56:36,383] - INFO: Epoch 1246/9999, Iter 124520: Loss = 0.010607087053358555, lr = [0.0001] +[2024-05-25 09:57:03,610] - INFO: Epoch 1246/9999, Iter 124560: Loss = 0.011203169822692871, lr = [0.0001] +[2024-05-25 09:57:32,110] - INFO: Epoch 1247/9999, Iter 124600: Loss = 0.008581564761698246, lr = [0.0001] +[2024-05-25 09:57:59,459] - INFO: Epoch 1247/9999, Iter 124640: Loss = 0.012611694633960724, lr = [0.0001] +[2024-05-25 09:58:26,635] - INFO: Epoch 1247/9999, Iter 124680: Loss = 0.016043206676840782, lr = [0.0001] +[2024-05-25 09:58:55,434] - INFO: Epoch 1248/9999, Iter 124720: Loss = 0.012988612987101078, lr = [0.0001] +[2024-05-25 09:59:22,706] - INFO: Epoch 1248/9999, Iter 124760: Loss = 0.017498275265097618, lr = [0.0001] +[2024-05-25 09:59:51,321] - INFO: Epoch 1249/9999, Iter 124800: Loss = 0.009952526539564133, lr = [0.0001] +[2024-05-25 10:00:18,666] - INFO: Epoch 1249/9999, Iter 124840: Loss = 0.013473994098603725, lr = [0.0001] +[2024-05-25 10:00:45,858] - INFO: Epoch 1249/9999, Iter 124880: Loss = 0.011354540474712849, lr = [0.0001] +[2024-05-25 10:01:14,478] - INFO: Epoch 1250/9999, Iter 124920: Loss = 0.010784702375531197, lr = [0.0001] +[2024-05-25 10:01:41,671] - INFO: Epoch 1250/9999, Iter 124960: Loss = 0.016723595559597015, lr = [0.0001] +[2024-05-25 10:02:08,597] - INFO: Evaluate at epoch 1250! +[2024-05-25 10:02:13,341] - INFO: Eval PSNR (max): 38.052 (1135) SSIM (max): 0.9611 (1220) +[2024-05-25 10:02:13,341] - INFO: Eval PSNR (current): 37.923 (1250) SSIM (current): 0.9604 (1250) +[2024-05-25 10:02:13,341] - INFO: Evaluation over. +[2024-05-25 10:02:19,909] - INFO: Epoch 1251/9999, Iter 125000: Loss = 0.016765814274549484, lr = [0.0001] +[2024-05-25 10:02:47,178] - INFO: Epoch 1251/9999, Iter 125040: Loss = 0.010979626327753067, lr = [0.0001] +[2024-05-25 10:03:14,424] - INFO: Epoch 1251/9999, Iter 125080: Loss = 0.015461061149835587, lr = [0.0001] +[2024-05-25 10:03:43,052] - INFO: Epoch 1252/9999, Iter 125120: Loss = 0.0074989753775298595, lr = [0.0001] +[2024-05-25 10:04:10,286] - INFO: Epoch 1252/9999, Iter 125160: Loss = 0.009024059399962425, lr = [0.0001] +[2024-05-25 10:04:38,885] - INFO: Epoch 1253/9999, Iter 125200: Loss = 0.010150348767638206, lr = [0.0001] +[2024-05-25 10:05:06,126] - INFO: Epoch 1253/9999, Iter 125240: Loss = 0.01604863628745079, lr = [0.0001] +[2024-05-25 10:05:33,311] - INFO: Epoch 1253/9999, Iter 125280: Loss = 0.013381238095462322, lr = [0.0001] +[2024-05-25 10:06:02,083] - INFO: Epoch 1254/9999, Iter 125320: Loss = 0.0128704234957695, lr = [0.0001] +[2024-05-25 10:06:29,285] - INFO: Epoch 1254/9999, Iter 125360: Loss = 0.01648862101137638, lr = [0.0001] +[2024-05-25 10:06:57,796] - INFO: Epoch 1255/9999, Iter 125400: Loss = 0.009210629388689995, lr = [0.0001] +[2024-05-25 10:07:25,031] - INFO: Epoch 1255/9999, Iter 125440: Loss = 0.01963026635348797, lr = [0.0001] +[2024-05-25 10:07:52,244] - INFO: Epoch 1255/9999, Iter 125480: Loss = 0.010381638072431087, lr = [0.0001] +[2024-05-25 10:08:05,552] - INFO: Evaluate at epoch 1255! +[2024-05-25 10:08:10,415] - INFO: Eval PSNR (max): 38.052 (1135) SSIM (max): 0.9611 (1220) +[2024-05-25 10:08:10,415] - INFO: Eval PSNR (current): 37.932 (1255) SSIM (current): 0.9604 (1255) +[2024-05-25 10:08:10,415] - INFO: Evaluation over. +[2024-05-25 10:08:31,050] - INFO: Epoch 1256/9999, Iter 125520: Loss = 0.01771862618625164, lr = [0.0001] +[2024-05-25 10:08:58,304] - INFO: Epoch 1256/9999, Iter 125560: Loss = 0.025387009605765343, lr = [0.0001] +[2024-05-25 10:09:26,948] - INFO: Epoch 1257/9999, Iter 125600: Loss = 0.010288301855325699, lr = [0.0001] +[2024-05-25 10:09:54,191] - INFO: Epoch 1257/9999, Iter 125640: Loss = 0.012964610941708088, lr = [0.0001] +[2024-05-25 10:10:21,472] - INFO: Epoch 1257/9999, Iter 125680: Loss = 0.017338065430521965, lr = [0.0001] +[2024-05-25 10:10:49,787] - INFO: Epoch 1258/9999, Iter 125720: Loss = 0.014700571075081825, lr = [0.0001] +[2024-05-25 10:11:16,975] - INFO: Epoch 1258/9999, Iter 125760: Loss = 0.010172254405915737, lr = [0.0001] +[2024-05-25 10:11:45,587] - INFO: Epoch 1259/9999, Iter 125800: Loss = 0.017483284696936607, lr = [0.0001] +[2024-05-25 10:12:12,913] - INFO: Epoch 1259/9999, Iter 125840: Loss = 0.016200445592403412, lr = [0.0001] +[2024-05-25 10:12:40,151] - INFO: Epoch 1259/9999, Iter 125880: Loss = 0.012970434501767159, lr = [0.0001] +[2024-05-25 10:13:08,959] - INFO: Epoch 1260/9999, Iter 125920: Loss = 0.00630840752273798, lr = [0.0001] +[2024-05-25 10:13:36,235] - INFO: Epoch 1260/9999, Iter 125960: Loss = 0.015378821641206741, lr = [0.0001] +[2024-05-25 10:14:03,050] - INFO: Evaluate at epoch 1260! +[2024-05-25 10:14:07,884] - INFO: Eval PSNR (max): 38.052 (1135) SSIM (max): 0.9611 (1220) +[2024-05-25 10:14:07,884] - INFO: Eval PSNR (current): 37.698 (1260) SSIM (current): 0.9606 (1260) +[2024-05-25 10:14:07,884] - INFO: Evaluation over. +[2024-05-25 10:14:14,894] - INFO: Epoch 1261/9999, Iter 126000: Loss = 0.01096808910369873, lr = [0.0001] +[2024-05-25 10:14:42,238] - INFO: Epoch 1261/9999, Iter 126040: Loss = 0.011142382398247719, lr = [0.0001] +[2024-05-25 10:15:09,421] - INFO: Epoch 1261/9999, Iter 126080: Loss = 0.01861562579870224, lr = [0.0001] +[2024-05-25 10:15:38,107] - INFO: Epoch 1262/9999, Iter 126120: Loss = 0.017711177468299866, lr = [0.0001] +[2024-05-25 10:16:05,314] - INFO: Epoch 1262/9999, Iter 126160: Loss = 0.012210038490593433, lr = [0.0001] +[2024-05-25 10:16:33,637] - INFO: Epoch 1263/9999, Iter 126200: Loss = 0.015028196386992931, lr = [0.0001] +[2024-05-25 10:17:01,013] - INFO: Epoch 1263/9999, Iter 126240: Loss = 0.006072172895073891, lr = [0.0001] +[2024-05-25 10:17:28,240] - INFO: Epoch 1263/9999, Iter 126280: Loss = 0.005599869880825281, lr = [0.0001] +[2024-05-25 10:17:57,092] - INFO: Epoch 1264/9999, Iter 126320: Loss = 0.012969492003321648, lr = [0.0001] +[2024-05-25 10:18:24,381] - INFO: Epoch 1264/9999, Iter 126360: Loss = 0.016162455081939697, lr = [0.0001] +[2024-05-25 10:18:52,883] - INFO: Epoch 1265/9999, Iter 126400: Loss = 0.011839360930025578, lr = [0.0001] +[2024-05-25 10:19:20,180] - INFO: Epoch 1265/9999, Iter 126440: Loss = 0.015053472481667995, lr = [0.0001] +[2024-05-25 10:19:47,399] - INFO: Epoch 1265/9999, Iter 126480: Loss = 0.00702819274738431, lr = [0.0001] +[2024-05-25 10:20:00,735] - INFO: Evaluate at epoch 1265! +[2024-05-25 10:20:05,611] - INFO: Eval PSNR (max): 38.052 (1135) SSIM (max): 0.9611 (1220) +[2024-05-25 10:20:05,611] - INFO: Eval PSNR (current): 37.900 (1265) SSIM (current): 0.9606 (1265) +[2024-05-25 10:20:05,611] - INFO: Evaluation over. +[2024-05-25 10:20:26,376] - INFO: Epoch 1266/9999, Iter 126520: Loss = 0.01646973192691803, lr = [0.0001] +[2024-05-25 10:20:53,554] - INFO: Epoch 1266/9999, Iter 126560: Loss = 0.006306121591478586, lr = [0.0001] +[2024-05-25 10:21:22,025] - INFO: Epoch 1267/9999, Iter 126600: Loss = 0.017835162580013275, lr = [0.0001] +[2024-05-25 10:21:49,367] - INFO: Epoch 1267/9999, Iter 126640: Loss = 0.017190096899867058, lr = [0.0001] +[2024-05-25 10:22:16,543] - INFO: Epoch 1267/9999, Iter 126680: Loss = 0.009248240850865841, lr = [0.0001] +[2024-05-25 10:22:45,143] - INFO: Epoch 1268/9999, Iter 126720: Loss = 0.009428536519408226, lr = [0.0001] +[2024-05-25 10:23:12,361] - INFO: Epoch 1268/9999, Iter 126760: Loss = 0.011040699668228626, lr = [0.0001] +[2024-05-25 10:23:40,798] - INFO: Epoch 1269/9999, Iter 126800: Loss = 0.018670765683054924, lr = [0.0001] +[2024-05-25 10:24:08,106] - INFO: Epoch 1269/9999, Iter 126840: Loss = 0.013742886483669281, lr = [0.0001] +[2024-05-25 10:24:35,311] - INFO: Epoch 1269/9999, Iter 126880: Loss = 0.02187676727771759, lr = [0.0001] +[2024-05-25 10:25:04,144] - INFO: Epoch 1270/9999, Iter 126920: Loss = 0.014018571935594082, lr = [0.0001] +[2024-05-25 10:25:31,365] - INFO: Epoch 1270/9999, Iter 126960: Loss = 0.009497969411313534, lr = [0.0001] +[2024-05-25 10:25:58,300] - INFO: Evaluate at epoch 1270! +[2024-05-25 10:26:03,133] - INFO: Eval PSNR (max): 38.052 (1135) SSIM (max): 0.9611 (1220) +[2024-05-25 10:26:03,134] - INFO: Eval PSNR (current): 37.944 (1270) SSIM (current): 0.9608 (1270) +[2024-05-25 10:26:03,134] - INFO: Evaluation over. +[2024-05-25 10:26:09,939] - INFO: Epoch 1271/9999, Iter 127000: Loss = 0.010935966856777668, lr = [0.0001] +[2024-05-25 10:26:37,258] - INFO: Epoch 1271/9999, Iter 127040: Loss = 0.011322665959596634, lr = [0.0001] +[2024-05-25 10:27:04,529] - INFO: Epoch 1271/9999, Iter 127080: Loss = 0.0173017755150795, lr = [0.0001] +[2024-05-25 10:27:33,139] - INFO: Epoch 1272/9999, Iter 127120: Loss = 0.012184766121208668, lr = [0.0001] +[2024-05-25 10:28:00,366] - INFO: Epoch 1272/9999, Iter 127160: Loss = 0.011302304454147816, lr = [0.0001] +[2024-05-25 10:28:28,816] - INFO: Epoch 1273/9999, Iter 127200: Loss = 0.013145565055310726, lr = [0.0001] +[2024-05-25 10:28:56,075] - INFO: Epoch 1273/9999, Iter 127240: Loss = 0.010540353134274483, lr = [0.0001] +[2024-05-25 10:29:23,293] - INFO: Epoch 1273/9999, Iter 127280: Loss = 0.01223572064191103, lr = [0.0001] +[2024-05-25 10:29:52,093] - INFO: Epoch 1274/9999, Iter 127320: Loss = 0.01875131204724312, lr = [0.0001] +[2024-05-25 10:30:19,304] - INFO: Epoch 1274/9999, Iter 127360: Loss = 0.0173723716288805, lr = [0.0001] +[2024-05-25 10:30:47,797] - INFO: Epoch 1275/9999, Iter 127400: Loss = 0.016158899292349815, lr = [0.0001] +[2024-05-25 10:31:15,078] - INFO: Epoch 1275/9999, Iter 127440: Loss = 0.011134697124361992, lr = [0.0001] +[2024-05-25 10:31:42,226] - INFO: Epoch 1275/9999, Iter 127480: Loss = 0.024380408227443695, lr = [0.0001] +[2024-05-25 10:31:55,506] - INFO: Evaluate at epoch 1275! +[2024-05-25 10:32:00,473] - INFO: Eval PSNR (max): 38.052 (1135) SSIM (max): 0.9611 (1220) +[2024-05-25 10:32:00,473] - INFO: Eval PSNR (current): 37.794 (1275) SSIM (current): 0.9608 (1275) +[2024-05-25 10:32:00,474] - INFO: Evaluation over. +[2024-05-25 10:32:21,079] - INFO: Epoch 1276/9999, Iter 127520: Loss = 0.012533457018435001, lr = [0.0001] +[2024-05-25 10:32:48,259] - INFO: Epoch 1276/9999, Iter 127560: Loss = 0.012546425685286522, lr = [0.0001] +[2024-05-25 10:33:16,900] - INFO: Epoch 1277/9999, Iter 127600: Loss = 0.012262526899576187, lr = [0.0001] +[2024-05-25 10:33:44,310] - INFO: Epoch 1277/9999, Iter 127640: Loss = 0.014464734122157097, lr = [0.0001] +[2024-05-25 10:34:11,516] - INFO: Epoch 1277/9999, Iter 127680: Loss = 0.005446511320769787, lr = [0.0001] +[2024-05-25 10:34:40,421] - INFO: Epoch 1278/9999, Iter 127720: Loss = 0.014970808289945126, lr = [0.0001] +[2024-05-25 10:35:07,657] - INFO: Epoch 1278/9999, Iter 127760: Loss = 0.017765739932656288, lr = [0.0001] +[2024-05-25 10:35:36,143] - INFO: Epoch 1279/9999, Iter 127800: Loss = 0.023707479238510132, lr = [0.0001] +[2024-05-25 10:36:03,427] - INFO: Epoch 1279/9999, Iter 127840: Loss = 0.00845402292907238, lr = [0.0001] +[2024-05-25 10:36:30,647] - INFO: Epoch 1279/9999, Iter 127880: Loss = 0.012913173995912075, lr = [0.0001] +[2024-05-25 10:36:59,309] - INFO: Epoch 1280/9999, Iter 127920: Loss = 0.006926103960722685, lr = [0.0001] +[2024-05-25 10:37:26,501] - INFO: Epoch 1280/9999, Iter 127960: Loss = 0.01696392521262169, lr = [0.0001] +[2024-05-25 10:37:53,386] - INFO: Evaluate at epoch 1280! +[2024-05-25 10:37:58,309] - INFO: Eval PSNR (max): 38.052 (1135) SSIM (max): 0.9611 (1220) +[2024-05-25 10:37:58,310] - INFO: Eval PSNR (current): 37.993 (1280) SSIM (current): 0.9608 (1280) +[2024-05-25 10:37:58,310] - INFO: Evaluation over. +[2024-05-25 10:38:05,132] - INFO: Epoch 1281/9999, Iter 128000: Loss = 0.006154283881187439, lr = [0.0001] +[2024-05-25 10:38:32,332] - INFO: Epoch 1281/9999, Iter 128040: Loss = 0.009951643645763397, lr = [0.0001] +[2024-05-25 10:38:59,525] - INFO: Epoch 1281/9999, Iter 128080: Loss = 0.022601794451475143, lr = [0.0001] +[2024-05-25 10:39:28,096] - INFO: Epoch 1282/9999, Iter 128120: Loss = 0.0073300497606396675, lr = [0.0001] +[2024-05-25 10:39:55,285] - INFO: Epoch 1282/9999, Iter 128160: Loss = 0.014297178946435452, lr = [0.0001] +[2024-05-25 10:40:23,781] - INFO: Epoch 1283/9999, Iter 128200: Loss = 0.011653686873614788, lr = [0.0001] +[2024-05-25 10:40:51,142] - INFO: Epoch 1283/9999, Iter 128240: Loss = 0.01644827611744404, lr = [0.0001] +[2024-05-25 10:41:18,338] - INFO: Epoch 1283/9999, Iter 128280: Loss = 0.008650870993733406, lr = [0.0001] +[2024-05-25 10:41:47,295] - INFO: Epoch 1284/9999, Iter 128320: Loss = 0.018985476344823837, lr = [0.0001] +[2024-05-25 10:42:14,502] - INFO: Epoch 1284/9999, Iter 128360: Loss = 0.02069317363202572, lr = [0.0001] +[2024-05-25 10:42:43,053] - INFO: Epoch 1285/9999, Iter 128400: Loss = 0.008865045383572578, lr = [0.0001] +[2024-05-25 10:43:10,443] - INFO: Epoch 1285/9999, Iter 128440: Loss = 0.011565107852220535, lr = [0.0001] +[2024-05-25 10:43:37,668] - INFO: Epoch 1285/9999, Iter 128480: Loss = 0.009544472210109234, lr = [0.0001] +[2024-05-25 10:43:50,973] - INFO: Evaluate at epoch 1285! +[2024-05-25 10:43:55,647] - INFO: Eval PSNR (max): 38.052 (1135) SSIM (max): 0.9611 (1220) +[2024-05-25 10:43:55,648] - INFO: Eval PSNR (current): 37.570 (1285) SSIM (current): 0.9605 (1285) +[2024-05-25 10:43:55,648] - INFO: Evaluation over. +[2024-05-25 10:44:15,920] - INFO: Epoch 1286/9999, Iter 128520: Loss = 0.019025059416890144, lr = [0.0001] +[2024-05-25 10:44:43,135] - INFO: Epoch 1286/9999, Iter 128560: Loss = 0.00684709008783102, lr = [0.0001] +[2024-05-25 10:45:11,773] - INFO: Epoch 1287/9999, Iter 128600: Loss = 0.012752234004437923, lr = [0.0001] +[2024-05-25 10:45:39,089] - INFO: Epoch 1287/9999, Iter 128640: Loss = 0.017196238040924072, lr = [0.0001] +[2024-05-25 10:46:06,331] - INFO: Epoch 1287/9999, Iter 128680: Loss = 0.010340379551053047, lr = [0.0001] +[2024-05-25 10:46:35,245] - INFO: Epoch 1288/9999, Iter 128720: Loss = 0.011398452334105968, lr = [0.0001] +[2024-05-25 10:47:02,438] - INFO: Epoch 1288/9999, Iter 128760: Loss = 0.008974103257060051, lr = [0.0001] +[2024-05-25 10:47:30,980] - INFO: Epoch 1289/9999, Iter 128800: Loss = 0.02079588547348976, lr = [0.0001] +[2024-05-25 10:47:58,390] - INFO: Epoch 1289/9999, Iter 128840: Loss = 0.017107805237174034, lr = [0.0001] +[2024-05-25 10:48:25,542] - INFO: Epoch 1289/9999, Iter 128880: Loss = 0.009527676738798618, lr = [0.0001] +[2024-05-25 10:48:54,114] - INFO: Epoch 1290/9999, Iter 128920: Loss = 0.010756966657936573, lr = [0.0001] +[2024-05-25 10:49:21,332] - INFO: Epoch 1290/9999, Iter 128960: Loss = 0.0159879419952631, lr = [0.0001] +[2024-05-25 10:49:48,305] - INFO: Evaluate at epoch 1290! +[2024-05-25 10:49:53,046] - INFO: Eval PSNR (max): 38.052 (1135) SSIM (max): 0.9611 (1220) +[2024-05-25 10:49:53,047] - INFO: Eval PSNR (current): 38.047 (1290) SSIM (current): 0.9609 (1290) +[2024-05-25 10:49:53,047] - INFO: Evaluation over. +[2024-05-25 10:49:59,844] - INFO: Epoch 1291/9999, Iter 129000: Loss = 0.013070126064121723, lr = [0.0001] +[2024-05-25 10:50:27,108] - INFO: Epoch 1291/9999, Iter 129040: Loss = 0.010951410979032516, lr = [0.0001] +[2024-05-25 10:50:54,277] - INFO: Epoch 1291/9999, Iter 129080: Loss = 0.017814043909311295, lr = [0.0001] +[2024-05-25 10:51:22,947] - INFO: Epoch 1292/9999, Iter 129120: Loss = 0.005907055456191301, lr = [0.0001] +[2024-05-25 10:51:50,130] - INFO: Epoch 1292/9999, Iter 129160: Loss = 0.016397561877965927, lr = [0.0001] +[2024-05-25 10:52:19,057] - INFO: Epoch 1293/9999, Iter 129200: Loss = 0.01881800778210163, lr = [0.0001] +[2024-05-25 10:52:46,408] - INFO: Epoch 1293/9999, Iter 129240: Loss = 0.015591568313539028, lr = [0.0001] +[2024-05-25 10:53:13,622] - INFO: Epoch 1293/9999, Iter 129280: Loss = 0.020509017631411552, lr = [0.0001] +[2024-05-25 10:53:42,202] - INFO: Epoch 1294/9999, Iter 129320: Loss = 0.014209317043423653, lr = [0.0001] +[2024-05-25 10:54:09,372] - INFO: Epoch 1294/9999, Iter 129360: Loss = 0.013325318694114685, lr = [0.0001] +[2024-05-25 10:54:38,197] - INFO: Epoch 1295/9999, Iter 129400: Loss = 0.006273791193962097, lr = [0.0001] +[2024-05-25 10:55:05,562] - INFO: Epoch 1295/9999, Iter 129440: Loss = 0.009550141170620918, lr = [0.0001] +[2024-05-25 10:55:32,840] - INFO: Epoch 1295/9999, Iter 129480: Loss = 0.009110033512115479, lr = [0.0001] +[2024-05-25 10:55:46,134] - INFO: Evaluate at epoch 1295! +[2024-05-25 10:55:50,771] - INFO: Eval PSNR (max): 38.052 (1135) SSIM (max): 0.9611 (1220) +[2024-05-25 10:55:50,771] - INFO: Eval PSNR (current): 38.037 (1295) SSIM (current): 0.9609 (1295) +[2024-05-25 10:55:50,771] - INFO: Evaluation over. +[2024-05-25 10:56:11,316] - INFO: Epoch 1296/9999, Iter 129520: Loss = 0.016247184947133064, lr = [0.0001] +[2024-05-25 10:56:38,525] - INFO: Epoch 1296/9999, Iter 129560: Loss = 0.008973625488579273, lr = [0.0001] +[2024-05-25 10:57:06,800] - INFO: Epoch 1297/9999, Iter 129600: Loss = 0.014583210460841656, lr = [0.0001] +[2024-05-25 10:57:34,043] - INFO: Epoch 1297/9999, Iter 129640: Loss = 0.01178259588778019, lr = [0.0001] +[2024-05-25 10:58:01,270] - INFO: Epoch 1297/9999, Iter 129680: Loss = 0.018874958157539368, lr = [0.0001] +[2024-05-25 10:58:29,990] - INFO: Epoch 1298/9999, Iter 129720: Loss = 0.01389530673623085, lr = [0.0001] +[2024-05-25 10:58:57,207] - INFO: Epoch 1298/9999, Iter 129760: Loss = 0.01416407898068428, lr = [0.0001] +[2024-05-25 10:59:25,804] - INFO: Epoch 1299/9999, Iter 129800: Loss = 0.009799106977880001, lr = [0.0001] +[2024-05-25 10:59:53,091] - INFO: Epoch 1299/9999, Iter 129840: Loss = 0.015174578875303268, lr = [0.0001] +[2024-05-25 11:00:20,263] - INFO: Epoch 1299/9999, Iter 129880: Loss = 0.012217149138450623, lr = [0.0001] +[2024-05-25 11:00:48,978] - INFO: Epoch 1300/9999, Iter 129920: Loss = 0.006817496381700039, lr = [0.0001] +[2024-05-25 11:01:16,158] - INFO: Epoch 1300/9999, Iter 129960: Loss = 0.009632298722863197, lr = [0.0001] +[2024-05-25 11:01:43,045] - INFO: Evaluate at epoch 1300! +[2024-05-25 11:01:47,876] - INFO: Eval PSNR (max): 38.052 (1135) SSIM (max): 0.9611 (1220) +[2024-05-25 11:01:47,876] - INFO: Eval PSNR (current): 38.023 (1300) SSIM (current): 0.9609 (1300) +[2024-05-25 11:01:47,876] - INFO: Evaluation over. +[2024-05-25 11:01:55,263] - INFO: Epoch 1301/9999, Iter 130000: Loss = 0.012613673694431782, lr = [0.0001] +[2024-05-25 11:02:22,531] - INFO: Epoch 1301/9999, Iter 130040: Loss = 0.014173523522913456, lr = [0.0001] +[2024-05-25 11:02:49,798] - INFO: Epoch 1301/9999, Iter 130080: Loss = 0.007218103855848312, lr = [0.0001] +[2024-05-25 11:03:18,468] - INFO: Epoch 1302/9999, Iter 130120: Loss = 0.0075458260253071785, lr = [0.0001] +[2024-05-25 11:03:45,678] - INFO: Epoch 1302/9999, Iter 130160: Loss = 0.012055599130690098, lr = [0.0001] +[2024-05-25 11:04:14,036] - INFO: Epoch 1303/9999, Iter 130200: Loss = 0.02023882418870926, lr = [0.0001] +[2024-05-25 11:04:41,335] - INFO: Epoch 1303/9999, Iter 130240: Loss = 0.009771766141057014, lr = [0.0001] +[2024-05-25 11:05:08,554] - INFO: Epoch 1303/9999, Iter 130280: Loss = 0.01066195871680975, lr = [0.0001] +[2024-05-25 11:05:37,130] - INFO: Epoch 1304/9999, Iter 130320: Loss = 0.015988625586032867, lr = [0.0001] +[2024-05-25 11:06:04,358] - INFO: Epoch 1304/9999, Iter 130360: Loss = 0.018961960449814796, lr = [0.0001] +[2024-05-25 11:06:32,823] - INFO: Epoch 1305/9999, Iter 130400: Loss = 0.009138395078480244, lr = [0.0001] +[2024-05-25 11:07:00,109] - INFO: Epoch 1305/9999, Iter 130440: Loss = 0.009915263392031193, lr = [0.0001] +[2024-05-25 11:07:27,331] - INFO: Epoch 1305/9999, Iter 130480: Loss = 0.017174601554870605, lr = [0.0001] +[2024-05-25 11:07:40,588] - INFO: Evaluate at epoch 1305! +[2024-05-25 11:07:45,438] - INFO: Eval PSNR (max): 38.052 (1135) SSIM (max): 0.9611 (1220) +[2024-05-25 11:07:45,438] - INFO: Eval PSNR (current): 37.894 (1305) SSIM (current): 0.9609 (1305) +[2024-05-25 11:07:45,438] - INFO: Evaluation over. +[2024-05-25 11:08:06,216] - INFO: Epoch 1306/9999, Iter 130520: Loss = 0.008769286796450615, lr = [0.0001] +[2024-05-25 11:08:33,467] - INFO: Epoch 1306/9999, Iter 130560: Loss = 0.012493632733821869, lr = [0.0001] +[2024-05-25 11:09:02,076] - INFO: Epoch 1307/9999, Iter 130600: Loss = 0.010796697810292244, lr = [0.0001] +[2024-05-25 11:09:29,347] - INFO: Epoch 1307/9999, Iter 130640: Loss = 0.008568162098526955, lr = [0.0001] +[2024-05-25 11:09:56,540] - INFO: Epoch 1307/9999, Iter 130680: Loss = 0.011042285710573196, lr = [0.0001] +[2024-05-25 11:10:25,090] - INFO: Epoch 1308/9999, Iter 130720: Loss = 0.019056417047977448, lr = [0.0001] +[2024-05-25 11:10:52,361] - INFO: Epoch 1308/9999, Iter 130760: Loss = 0.010459231212735176, lr = [0.0001] +[2024-05-25 11:11:20,741] - INFO: Epoch 1309/9999, Iter 130800: Loss = 0.015320241451263428, lr = [0.0001] +[2024-05-25 11:11:48,025] - INFO: Epoch 1309/9999, Iter 130840: Loss = 0.01788821630179882, lr = [0.0001] +[2024-05-25 11:12:15,195] - INFO: Epoch 1309/9999, Iter 130880: Loss = 0.020326169207692146, lr = [0.0001] +[2024-05-25 11:12:43,832] - INFO: Epoch 1310/9999, Iter 130920: Loss = 0.0069575742818415165, lr = [0.0001] +[2024-05-25 11:13:11,029] - INFO: Epoch 1310/9999, Iter 130960: Loss = 0.012286574579775333, lr = [0.0001] +[2024-05-25 11:13:37,862] - INFO: Evaluate at epoch 1310! +[2024-05-25 11:13:42,717] - INFO: Eval PSNR (max): 38.052 (1135) SSIM (max): 0.9611 (1220) +[2024-05-25 11:13:42,718] - INFO: Eval PSNR (current): 38.047 (1310) SSIM (current): 0.9609 (1310) +[2024-05-25 11:13:42,718] - INFO: Evaluation over. +[2024-05-25 11:13:49,878] - INFO: Epoch 1311/9999, Iter 131000: Loss = 0.012437839061021805, lr = [0.0001] +[2024-05-25 11:14:17,128] - INFO: Epoch 1311/9999, Iter 131040: Loss = 0.016297722235322, lr = [0.0001] +[2024-05-25 11:14:44,361] - INFO: Epoch 1311/9999, Iter 131080: Loss = 0.008256719447672367, lr = [0.0001] +[2024-05-25 11:15:13,134] - INFO: Epoch 1312/9999, Iter 131120: Loss = 0.020886002108454704, lr = [0.0001] +[2024-05-25 11:15:40,400] - INFO: Epoch 1312/9999, Iter 131160: Loss = 0.009441309608519077, lr = [0.0001] +[2024-05-25 11:16:08,794] - INFO: Epoch 1313/9999, Iter 131200: Loss = 0.01160653680562973, lr = [0.0001] +[2024-05-25 11:16:36,079] - INFO: Epoch 1313/9999, Iter 131240: Loss = 0.0125276492908597, lr = [0.0001] +[2024-05-25 11:17:03,231] - INFO: Epoch 1313/9999, Iter 131280: Loss = 0.009296005591750145, lr = [0.0001] +[2024-05-25 11:17:32,038] - INFO: Epoch 1314/9999, Iter 131320: Loss = 0.009969932027161121, lr = [0.0001] +[2024-05-25 11:17:59,240] - INFO: Epoch 1314/9999, Iter 131360: Loss = 0.009691490791738033, lr = [0.0001] +[2024-05-25 11:18:27,965] - INFO: Epoch 1315/9999, Iter 131400: Loss = 0.01876518316566944, lr = [0.0001] +[2024-05-25 11:18:55,155] - INFO: Epoch 1315/9999, Iter 131440: Loss = 0.007418873254209757, lr = [0.0001] +[2024-05-25 11:19:22,413] - INFO: Epoch 1315/9999, Iter 131480: Loss = 0.009733122773468494, lr = [0.0001] +[2024-05-25 11:19:35,756] - INFO: Evaluate at epoch 1315! +[2024-05-25 11:19:40,581] - INFO: Eval PSNR (max): 38.052 (1135) SSIM (max): 0.9611 (1220) +[2024-05-25 11:19:40,582] - INFO: Eval PSNR (current): 37.992 (1315) SSIM (current): 0.9609 (1315) +[2024-05-25 11:19:40,582] - INFO: Evaluation over. +[2024-05-25 11:20:01,951] - INFO: Epoch 1316/9999, Iter 131520: Loss = 0.01042884774506092, lr = [0.0001] +[2024-05-25 11:20:29,139] - INFO: Epoch 1316/9999, Iter 131560: Loss = 0.013738458976149559, lr = [0.0001] +[2024-05-25 11:20:57,548] - INFO: Epoch 1317/9999, Iter 131600: Loss = 0.008893788792192936, lr = [0.0001] +[2024-05-25 11:21:24,862] - INFO: Epoch 1317/9999, Iter 131640: Loss = 0.022089220583438873, lr = [0.0001] +[2024-05-25 11:21:52,064] - INFO: Epoch 1317/9999, Iter 131680: Loss = 0.009977592155337334, lr = [0.0001] +[2024-05-25 11:22:20,718] - INFO: Epoch 1318/9999, Iter 131720: Loss = 0.01320192776620388, lr = [0.0001] +[2024-05-25 11:22:47,869] - INFO: Epoch 1318/9999, Iter 131760: Loss = 0.008238086476922035, lr = [0.0001] +[2024-05-25 11:23:16,263] - INFO: Epoch 1319/9999, Iter 131800: Loss = 0.017309781163930893, lr = [0.0001] +[2024-05-25 11:23:43,647] - INFO: Epoch 1319/9999, Iter 131840: Loss = 0.008568823337554932, lr = [0.0001] +[2024-05-25 11:24:10,854] - INFO: Epoch 1319/9999, Iter 131880: Loss = 0.008995287120342255, lr = [0.0001] +[2024-05-25 11:24:39,420] - INFO: Epoch 1320/9999, Iter 131920: Loss = 0.01482614316046238, lr = [0.0001] +[2024-05-25 11:25:06,588] - INFO: Epoch 1320/9999, Iter 131960: Loss = 0.01262219063937664, lr = [0.0001] +[2024-05-25 11:25:33,518] - INFO: Evaluate at epoch 1320! +[2024-05-25 11:25:38,229] - INFO: Eval PSNR (max): 38.052 (1135) SSIM (max): 0.9611 (1220) +[2024-05-25 11:25:38,229] - INFO: Eval PSNR (current): 38.006 (1320) SSIM (current): 0.9609 (1320) +[2024-05-25 11:25:38,229] - INFO: Evaluation over. +[2024-05-25 11:25:45,214] - INFO: Epoch 1321/9999, Iter 132000: Loss = 0.010282676666975021, lr = [0.0001] +[2024-05-25 11:26:12,511] - INFO: Epoch 1321/9999, Iter 132040: Loss = 0.005847078748047352, lr = [0.0001] +[2024-05-25 11:26:39,700] - INFO: Epoch 1321/9999, Iter 132080: Loss = 0.009761459194123745, lr = [0.0001] +[2024-05-25 11:27:08,383] - INFO: Epoch 1322/9999, Iter 132120: Loss = 0.01686675101518631, lr = [0.0001] +[2024-05-25 11:27:35,631] - INFO: Epoch 1322/9999, Iter 132160: Loss = 0.01430438831448555, lr = [0.0001] +[2024-05-25 11:28:04,090] - INFO: Epoch 1323/9999, Iter 132200: Loss = 0.009817750193178654, lr = [0.0001] +[2024-05-25 11:28:31,395] - INFO: Epoch 1323/9999, Iter 132240: Loss = 0.012469672597944736, lr = [0.0001] +[2024-05-25 11:28:58,562] - INFO: Epoch 1323/9999, Iter 132280: Loss = 0.008611517958343029, lr = [0.0001] +[2024-05-25 11:29:27,319] - INFO: Epoch 1324/9999, Iter 132320: Loss = 0.014148776419460773, lr = [0.0001] +[2024-05-25 11:29:54,479] - INFO: Epoch 1324/9999, Iter 132360: Loss = 0.016983268782496452, lr = [0.0001] +[2024-05-25 11:30:22,818] - INFO: Epoch 1325/9999, Iter 132400: Loss = 0.007865621708333492, lr = [0.0001] +[2024-05-25 11:30:50,184] - INFO: Epoch 1325/9999, Iter 132440: Loss = 0.010830243118107319, lr = [0.0001] +[2024-05-25 11:31:17,414] - INFO: Epoch 1325/9999, Iter 132480: Loss = 0.01048104278743267, lr = [0.0001] +[2024-05-25 11:31:30,719] - INFO: Evaluate at epoch 1325! +[2024-05-25 11:31:40,623] - INFO: Eval PSNR (max): 38.055 (1325) SSIM (max): 0.9611 (1220) +[2024-05-25 11:31:40,623] - INFO: Eval PSNR (current): 38.055 (1325) SSIM (current): 0.9610 (1325) +[2024-05-25 11:31:40,623] - INFO: Evaluation over. +[2024-05-25 11:32:01,120] - INFO: Epoch 1326/9999, Iter 132520: Loss = 0.01157921552658081, lr = [0.0001] +[2024-05-25 11:32:28,355] - INFO: Epoch 1326/9999, Iter 132560: Loss = 0.01433712150901556, lr = [0.0001] +[2024-05-25 11:32:57,017] - INFO: Epoch 1327/9999, Iter 132600: Loss = 0.01626448705792427, lr = [0.0001] +[2024-05-25 11:33:24,423] - INFO: Epoch 1327/9999, Iter 132640: Loss = 0.019205858930945396, lr = [0.0001] +[2024-05-25 11:33:51,626] - INFO: Epoch 1327/9999, Iter 132680: Loss = 0.019176973029971123, lr = [0.0001] +[2024-05-25 11:34:20,512] - INFO: Epoch 1328/9999, Iter 132720: Loss = 0.011353581212460995, lr = [0.0001] +[2024-05-25 11:34:47,727] - INFO: Epoch 1328/9999, Iter 132760: Loss = 0.011995265260338783, lr = [0.0001] +[2024-05-25 11:35:16,284] - INFO: Epoch 1329/9999, Iter 132800: Loss = 0.014650850556790829, lr = [0.0001] +[2024-05-25 11:35:43,559] - INFO: Epoch 1329/9999, Iter 132840: Loss = 0.006867935415357351, lr = [0.0001] +[2024-05-25 11:36:10,750] - INFO: Epoch 1329/9999, Iter 132880: Loss = 0.010191754437983036, lr = [0.0001] +[2024-05-25 11:36:39,296] - INFO: Epoch 1330/9999, Iter 132920: Loss = 0.01482679694890976, lr = [0.0001] +[2024-05-25 11:37:06,519] - INFO: Epoch 1330/9999, Iter 132960: Loss = 0.011951068416237831, lr = [0.0001] +[2024-05-25 11:37:33,453] - INFO: Evaluate at epoch 1330! +[2024-05-25 11:37:38,358] - INFO: Eval PSNR (max): 38.055 (1325) SSIM (max): 0.9611 (1220) +[2024-05-25 11:37:38,358] - INFO: Eval PSNR (current): 38.039 (1330) SSIM (current): 0.9608 (1330) +[2024-05-25 11:37:38,358] - INFO: Evaluation over. +[2024-05-25 11:37:45,136] - INFO: Epoch 1331/9999, Iter 133000: Loss = 0.008405192755162716, lr = [0.0001] +[2024-05-25 11:38:12,365] - INFO: Epoch 1331/9999, Iter 133040: Loss = 0.0065109278075397015, lr = [0.0001] +[2024-05-25 11:38:39,575] - INFO: Epoch 1331/9999, Iter 133080: Loss = 0.014933804981410503, lr = [0.0001] +[2024-05-25 11:39:08,295] - INFO: Epoch 1332/9999, Iter 133120: Loss = 0.01372806541621685, lr = [0.0001] +[2024-05-25 11:39:35,476] - INFO: Epoch 1332/9999, Iter 133160: Loss = 0.023204516619443893, lr = [0.0001] +[2024-05-25 11:40:04,116] - INFO: Epoch 1333/9999, Iter 133200: Loss = 0.012852995656430721, lr = [0.0001] +[2024-05-25 11:40:31,336] - INFO: Epoch 1333/9999, Iter 133240: Loss = 0.010759948752820492, lr = [0.0001] +[2024-05-25 11:40:58,536] - INFO: Epoch 1333/9999, Iter 133280: Loss = 0.011544019915163517, lr = [0.0001] +[2024-05-25 11:41:27,375] - INFO: Epoch 1334/9999, Iter 133320: Loss = 0.0118575319647789, lr = [0.0001] +[2024-05-25 11:41:54,634] - INFO: Epoch 1334/9999, Iter 133360: Loss = 0.023769916966557503, lr = [0.0001] +[2024-05-25 11:42:23,353] - INFO: Epoch 1335/9999, Iter 133400: Loss = 0.01081007905304432, lr = [0.0001] +[2024-05-25 11:42:50,567] - INFO: Epoch 1335/9999, Iter 133440: Loss = 0.024262620136141777, lr = [0.0001] +[2024-05-25 11:43:17,775] - INFO: Epoch 1335/9999, Iter 133480: Loss = 0.007370924111455679, lr = [0.0001] +[2024-05-25 11:43:31,073] - INFO: Evaluate at epoch 1335! +[2024-05-25 11:43:35,880] - INFO: Eval PSNR (max): 38.055 (1325) SSIM (max): 0.9611 (1220) +[2024-05-25 11:43:35,880] - INFO: Eval PSNR (current): 37.983 (1335) SSIM (current): 0.9608 (1335) +[2024-05-25 11:43:35,880] - INFO: Evaluation over. +[2024-05-25 11:43:56,492] - INFO: Epoch 1336/9999, Iter 133520: Loss = 0.015363001264631748, lr = [0.0001] +[2024-05-25 11:44:23,646] - INFO: Epoch 1336/9999, Iter 133560: Loss = 0.011971131898462772, lr = [0.0001] +[2024-05-25 11:44:52,420] - INFO: Epoch 1337/9999, Iter 133600: Loss = 0.019318534061312675, lr = [0.0001] +[2024-05-25 11:45:19,708] - INFO: Epoch 1337/9999, Iter 133640: Loss = 0.012591708451509476, lr = [0.0001] +[2024-05-25 11:45:46,936] - INFO: Epoch 1337/9999, Iter 133680: Loss = 0.011094123125076294, lr = [0.0001] +[2024-05-25 11:46:15,495] - INFO: Epoch 1338/9999, Iter 133720: Loss = 0.012786219827830791, lr = [0.0001] +[2024-05-25 11:46:42,731] - INFO: Epoch 1338/9999, Iter 133760: Loss = 0.014478432014584541, lr = [0.0001] +[2024-05-25 11:47:11,224] - INFO: Epoch 1339/9999, Iter 133800: Loss = 0.009377549402415752, lr = [0.0001] +[2024-05-25 11:47:38,523] - INFO: Epoch 1339/9999, Iter 133840: Loss = 0.011656945571303368, lr = [0.0001] +[2024-05-25 11:48:05,730] - INFO: Epoch 1339/9999, Iter 133880: Loss = 0.00639864057302475, lr = [0.0001] +[2024-05-25 11:48:34,387] - INFO: Epoch 1340/9999, Iter 133920: Loss = 0.014301726594567299, lr = [0.0001] +[2024-05-25 11:49:01,589] - INFO: Epoch 1340/9999, Iter 133960: Loss = 0.017140578478574753, lr = [0.0001] +[2024-05-25 11:49:28,484] - INFO: Evaluate at epoch 1340! +[2024-05-25 11:49:33,107] - INFO: Eval PSNR (max): 38.055 (1325) SSIM (max): 0.9611 (1220) +[2024-05-25 11:49:33,107] - INFO: Eval PSNR (current): 38.019 (1340) SSIM (current): 0.9608 (1340) +[2024-05-25 11:49:33,107] - INFO: Evaluation over. +[2024-05-25 11:49:39,891] - INFO: Epoch 1341/9999, Iter 134000: Loss = 0.011334637179970741, lr = [0.0001] +[2024-05-25 11:50:07,232] - INFO: Epoch 1341/9999, Iter 134040: Loss = 0.012236707843840122, lr = [0.0001] +[2024-05-25 11:50:34,416] - INFO: Epoch 1341/9999, Iter 134080: Loss = 0.016834605485200882, lr = [0.0001] +[2024-05-25 11:51:02,979] - INFO: Epoch 1342/9999, Iter 134120: Loss = 0.009720087051391602, lr = [0.0001] +[2024-05-25 11:51:30,194] - INFO: Epoch 1342/9999, Iter 134160: Loss = 0.015320608392357826, lr = [0.0001] +[2024-05-25 11:51:59,010] - INFO: Epoch 1343/9999, Iter 134200: Loss = 0.00785390567034483, lr = [0.0001] +[2024-05-25 11:52:26,308] - INFO: Epoch 1343/9999, Iter 134240: Loss = 0.013366999104619026, lr = [0.0001] +[2024-05-25 11:52:53,522] - INFO: Epoch 1343/9999, Iter 134280: Loss = 0.013811254873871803, lr = [0.0001] +[2024-05-25 11:53:22,157] - INFO: Epoch 1344/9999, Iter 134320: Loss = 0.010036884807050228, lr = [0.0001] +[2024-05-25 11:53:49,404] - INFO: Epoch 1344/9999, Iter 134360: Loss = 0.010077950544655323, lr = [0.0001] +[2024-05-25 11:54:18,040] - INFO: Epoch 1345/9999, Iter 134400: Loss = 0.016897859051823616, lr = [0.0001] +[2024-05-25 11:54:45,393] - INFO: Epoch 1345/9999, Iter 134440: Loss = 0.011736384592950344, lr = [0.0001] +[2024-05-25 11:55:12,556] - INFO: Epoch 1345/9999, Iter 134480: Loss = 0.009188059717416763, lr = [0.0001] +[2024-05-25 11:55:25,857] - INFO: Evaluate at epoch 1345! +[2024-05-25 11:55:30,741] - INFO: Eval PSNR (max): 38.055 (1325) SSIM (max): 0.9611 (1220) +[2024-05-25 11:55:30,741] - INFO: Eval PSNR (current): 37.976 (1345) SSIM (current): 0.9606 (1345) +[2024-05-25 11:55:30,741] - INFO: Evaluation over. +[2024-05-25 11:55:50,969] - INFO: Epoch 1346/9999, Iter 134520: Loss = 0.01673508621752262, lr = [0.0001] +[2024-05-25 11:56:18,119] - INFO: Epoch 1346/9999, Iter 134560: Loss = 0.009082663804292679, lr = [0.0001] +[2024-05-25 11:56:46,848] - INFO: Epoch 1347/9999, Iter 134600: Loss = 0.014464570209383965, lr = [0.0001] +[2024-05-25 11:57:14,121] - INFO: Epoch 1347/9999, Iter 134640: Loss = 0.011000625789165497, lr = [0.0001] +[2024-05-25 11:57:41,339] - INFO: Epoch 1347/9999, Iter 134680: Loss = 0.012916218489408493, lr = [0.0001] +[2024-05-25 11:58:10,136] - INFO: Epoch 1348/9999, Iter 134720: Loss = 0.00666852155700326, lr = [0.0001] +[2024-05-25 11:58:37,308] - INFO: Epoch 1348/9999, Iter 134760: Loss = 0.013703202828764915, lr = [0.0001] +[2024-05-25 11:59:05,886] - INFO: Epoch 1349/9999, Iter 134800: Loss = 0.011144024319946766, lr = [0.0001] +[2024-05-25 11:59:33,242] - INFO: Epoch 1349/9999, Iter 134840: Loss = 0.010993179865181446, lr = [0.0001] +[2024-05-25 12:00:00,414] - INFO: Epoch 1349/9999, Iter 134880: Loss = 0.008952472358942032, lr = [0.0001] +[2024-05-25 12:00:28,916] - INFO: Epoch 1350/9999, Iter 134920: Loss = 0.014064310118556023, lr = [0.0001] +[2024-05-25 12:00:56,116] - INFO: Epoch 1350/9999, Iter 134960: Loss = 0.011834586039185524, lr = [0.0001] +[2024-05-25 12:01:23,036] - INFO: Evaluate at epoch 1350! +[2024-05-25 12:01:27,815] - INFO: Eval PSNR (max): 38.055 (1325) SSIM (max): 0.9611 (1220) +[2024-05-25 12:01:27,815] - INFO: Eval PSNR (current): 37.563 (1350) SSIM (current): 0.9607 (1350) +[2024-05-25 12:01:27,815] - INFO: Evaluation over. +[2024-05-25 12:01:34,288] - INFO: Epoch 1351/9999, Iter 135000: Loss = 0.015054029412567616, lr = [0.0001] +[2024-05-25 12:02:01,519] - INFO: Epoch 1351/9999, Iter 135040: Loss = 0.010236943140625954, lr = [0.0001] +[2024-05-25 12:02:28,743] - INFO: Epoch 1351/9999, Iter 135080: Loss = 0.01123543456196785, lr = [0.0001] +[2024-05-25 12:02:57,473] - INFO: Epoch 1352/9999, Iter 135120: Loss = 0.009593317285180092, lr = [0.0001] +[2024-05-25 12:03:24,663] - INFO: Epoch 1352/9999, Iter 135160: Loss = 0.010555390268564224, lr = [0.0001] +[2024-05-25 12:03:53,221] - INFO: Epoch 1353/9999, Iter 135200: Loss = 0.01920628733932972, lr = [0.0001] +[2024-05-25 12:04:20,490] - INFO: Epoch 1353/9999, Iter 135240: Loss = 0.018426455557346344, lr = [0.0001] +[2024-05-25 12:04:47,775] - INFO: Epoch 1353/9999, Iter 135280: Loss = 0.00964275561273098, lr = [0.0001] +[2024-05-25 12:05:16,585] - INFO: Epoch 1354/9999, Iter 135320: Loss = 0.007855148985981941, lr = [0.0001] +[2024-05-25 12:05:43,831] - INFO: Epoch 1354/9999, Iter 135360: Loss = 0.011156952008605003, lr = [0.0001] +[2024-05-25 12:06:12,466] - INFO: Epoch 1355/9999, Iter 135400: Loss = 0.014147107489407063, lr = [0.0001] +[2024-05-25 12:06:39,750] - INFO: Epoch 1355/9999, Iter 135440: Loss = 0.022960640490055084, lr = [0.0001] +[2024-05-25 12:07:06,951] - INFO: Epoch 1355/9999, Iter 135480: Loss = 0.019264711067080498, lr = [0.0001] +[2024-05-25 12:07:20,303] - INFO: Evaluate at epoch 1355! +[2024-05-25 12:07:25,110] - INFO: Eval PSNR (max): 38.055 (1325) SSIM (max): 0.9611 (1220) +[2024-05-25 12:07:25,110] - INFO: Eval PSNR (current): 37.952 (1355) SSIM (current): 0.9607 (1355) +[2024-05-25 12:07:25,110] - INFO: Evaluation over. +[2024-05-25 12:07:45,510] - INFO: Epoch 1356/9999, Iter 135520: Loss = 0.008917060680687428, lr = [0.0001] +[2024-05-25 12:08:12,711] - INFO: Epoch 1356/9999, Iter 135560: Loss = 0.010185252875089645, lr = [0.0001] +[2024-05-25 12:08:41,314] - INFO: Epoch 1357/9999, Iter 135600: Loss = 0.00875590555369854, lr = [0.0001] +[2024-05-25 12:09:08,553] - INFO: Epoch 1357/9999, Iter 135640: Loss = 0.00687692454084754, lr = [0.0001] +[2024-05-25 12:09:35,794] - INFO: Epoch 1357/9999, Iter 135680: Loss = 0.005660003516823053, lr = [0.0001] +[2024-05-25 12:10:04,296] - INFO: Epoch 1358/9999, Iter 135720: Loss = 0.008952159434556961, lr = [0.0001] +[2024-05-25 12:10:31,520] - INFO: Epoch 1358/9999, Iter 135760: Loss = 0.013496017083525658, lr = [0.0001] +[2024-05-25 12:11:00,275] - INFO: Epoch 1359/9999, Iter 135800: Loss = 0.011249903589487076, lr = [0.0001] +[2024-05-25 12:11:27,617] - INFO: Epoch 1359/9999, Iter 135840: Loss = 0.006893359590321779, lr = [0.0001] +[2024-05-25 12:11:54,788] - INFO: Epoch 1359/9999, Iter 135880: Loss = 0.017354462295770645, lr = [0.0001] +[2024-05-25 12:12:23,398] - INFO: Epoch 1360/9999, Iter 135920: Loss = 0.008583227172493935, lr = [0.0001] +[2024-05-25 12:12:50,618] - INFO: Epoch 1360/9999, Iter 135960: Loss = 0.02110055461525917, lr = [0.0001] +[2024-05-25 12:13:17,487] - INFO: Evaluate at epoch 1360! +[2024-05-25 12:13:22,334] - INFO: Eval PSNR (max): 38.055 (1325) SSIM (max): 0.9611 (1220) +[2024-05-25 12:13:22,334] - INFO: Eval PSNR (current): 38.006 (1360) SSIM (current): 0.9608 (1360) +[2024-05-25 12:13:22,334] - INFO: Evaluation over. +[2024-05-25 12:13:29,007] - INFO: Epoch 1361/9999, Iter 136000: Loss = 0.01724306121468544, lr = [0.0001] +[2024-05-25 12:13:56,248] - INFO: Epoch 1361/9999, Iter 136040: Loss = 0.02015531435608864, lr = [0.0001] +[2024-05-25 12:14:23,453] - INFO: Epoch 1361/9999, Iter 136080: Loss = 0.009502693079411983, lr = [0.0001] +[2024-05-25 12:14:52,207] - INFO: Epoch 1362/9999, Iter 136120: Loss = 0.013080400414764881, lr = [0.0001] +[2024-05-25 12:15:19,435] - INFO: Epoch 1362/9999, Iter 136160: Loss = 0.01605372317135334, lr = [0.0001] +[2024-05-25 12:15:48,061] - INFO: Epoch 1363/9999, Iter 136200: Loss = 0.00915247667580843, lr = [0.0001] +[2024-05-25 12:16:15,367] - INFO: Epoch 1363/9999, Iter 136240: Loss = 0.016992099583148956, lr = [0.0001] +[2024-05-25 12:16:42,618] - INFO: Epoch 1363/9999, Iter 136280: Loss = 0.008122744038701057, lr = [0.0001] +[2024-05-25 12:17:11,344] - INFO: Epoch 1364/9999, Iter 136320: Loss = 0.015881888568401337, lr = [0.0001] +[2024-05-25 12:17:38,492] - INFO: Epoch 1364/9999, Iter 136360: Loss = 0.007203080225735903, lr = [0.0001] +[2024-05-25 12:18:06,989] - INFO: Epoch 1365/9999, Iter 136400: Loss = 0.015506650321185589, lr = [0.0001] +[2024-05-25 12:18:34,264] - INFO: Epoch 1365/9999, Iter 136440: Loss = 0.010359914042055607, lr = [0.0001] +[2024-05-25 12:19:01,530] - INFO: Epoch 1365/9999, Iter 136480: Loss = 0.031005147844552994, lr = [0.0001] +[2024-05-25 12:19:14,918] - INFO: Evaluate at epoch 1365! +[2024-05-25 12:19:19,775] - INFO: Eval PSNR (max): 38.055 (1325) SSIM (max): 0.9611 (1220) +[2024-05-25 12:19:19,775] - INFO: Eval PSNR (current): 37.977 (1365) SSIM (current): 0.9607 (1365) +[2024-05-25 12:19:19,776] - INFO: Evaluation over. +[2024-05-25 12:19:40,004] - INFO: Epoch 1366/9999, Iter 136520: Loss = 0.013678913936018944, lr = [0.0001] +[2024-05-25 12:20:07,210] - INFO: Epoch 1366/9999, Iter 136560: Loss = 0.014026384800672531, lr = [0.0001] +[2024-05-25 12:20:35,856] - INFO: Epoch 1367/9999, Iter 136600: Loss = 0.019815750420093536, lr = [0.0001] +[2024-05-25 12:21:03,153] - INFO: Epoch 1367/9999, Iter 136640: Loss = 0.01353576872497797, lr = [0.0001] +[2024-05-25 12:21:30,433] - INFO: Epoch 1367/9999, Iter 136680: Loss = 0.020508872345089912, lr = [0.0001] +[2024-05-25 12:21:59,228] - INFO: Epoch 1368/9999, Iter 136720: Loss = 0.009881691075861454, lr = [0.0001] +[2024-05-25 12:22:26,452] - INFO: Epoch 1368/9999, Iter 136760: Loss = 0.006239029578864574, lr = [0.0001] +[2024-05-25 12:22:55,204] - INFO: Epoch 1369/9999, Iter 136800: Loss = 0.01763511449098587, lr = [0.0001] +[2024-05-25 12:23:22,505] - INFO: Epoch 1369/9999, Iter 136840: Loss = 0.013990329578518867, lr = [0.0001] +[2024-05-25 12:23:49,720] - INFO: Epoch 1369/9999, Iter 136880: Loss = 0.014893160201609135, lr = [0.0001] +[2024-05-25 12:24:18,654] - INFO: Epoch 1370/9999, Iter 136920: Loss = 0.015420430339872837, lr = [0.0001] +[2024-05-25 12:24:45,838] - INFO: Epoch 1370/9999, Iter 136960: Loss = 0.010711051523685455, lr = [0.0001] +[2024-05-25 12:25:12,738] - INFO: Evaluate at epoch 1370! +[2024-05-25 12:25:17,558] - INFO: Eval PSNR (max): 38.055 (1325) SSIM (max): 0.9611 (1220) +[2024-05-25 12:25:17,558] - INFO: Eval PSNR (current): 37.979 (1370) SSIM (current): 0.9606 (1370) +[2024-05-25 12:25:17,558] - INFO: Evaluation over. +[2024-05-25 12:25:24,305] - INFO: Epoch 1371/9999, Iter 137000: Loss = 0.020494773983955383, lr = [0.0001] +[2024-05-25 12:25:51,543] - INFO: Epoch 1371/9999, Iter 137040: Loss = 0.01108768954873085, lr = [0.0001] +[2024-05-25 12:26:18,704] - INFO: Epoch 1371/9999, Iter 137080: Loss = 0.018624678254127502, lr = [0.0001] +[2024-05-25 12:26:47,255] - INFO: Epoch 1372/9999, Iter 137120: Loss = 0.012258385308086872, lr = [0.0001] +[2024-05-25 12:27:14,419] - INFO: Epoch 1372/9999, Iter 137160: Loss = 0.010196886956691742, lr = [0.0001] +[2024-05-25 12:27:42,918] - INFO: Epoch 1373/9999, Iter 137200: Loss = 0.006406405474990606, lr = [0.0001] +[2024-05-25 12:28:10,187] - INFO: Epoch 1373/9999, Iter 137240: Loss = 0.015555668622255325, lr = [0.0001] +[2024-05-25 12:28:37,376] - INFO: Epoch 1373/9999, Iter 137280: Loss = 0.012174050323665142, lr = [0.0001] +[2024-05-25 12:29:06,100] - INFO: Epoch 1374/9999, Iter 137320: Loss = 0.012610339559614658, lr = [0.0001] +[2024-05-25 12:29:33,296] - INFO: Epoch 1374/9999, Iter 137360: Loss = 0.014578557573258877, lr = [0.0001] +[2024-05-25 12:30:01,691] - INFO: Epoch 1375/9999, Iter 137400: Loss = 0.011277328245341778, lr = [0.0001] +[2024-05-25 12:30:29,032] - INFO: Epoch 1375/9999, Iter 137440: Loss = 0.017914358526468277, lr = [0.0001] +[2024-05-25 12:30:56,293] - INFO: Epoch 1375/9999, Iter 137480: Loss = 0.015516323037445545, lr = [0.0001] +[2024-05-25 12:31:09,622] - INFO: Evaluate at epoch 1375! +[2024-05-25 12:31:14,707] - INFO: Eval PSNR (max): 38.055 (1325) SSIM (max): 0.9611 (1220) +[2024-05-25 12:31:14,707] - INFO: Eval PSNR (current): 37.964 (1375) SSIM (current): 0.9605 (1375) +[2024-05-25 12:31:14,707] - INFO: Evaluation over. +[2024-05-25 12:31:36,631] - INFO: Epoch 1376/9999, Iter 137520: Loss = 0.008236460387706757, lr = [0.0001] +[2024-05-25 12:32:03,962] - INFO: Epoch 1376/9999, Iter 137560: Loss = 0.010798304341733456, lr = [0.0001] +[2024-05-25 12:32:32,632] - INFO: Epoch 1377/9999, Iter 137600: Loss = 0.009152773767709732, lr = [0.0001] +[2024-05-25 12:32:59,998] - INFO: Epoch 1377/9999, Iter 137640: Loss = 0.01298369187861681, lr = [0.0001] +[2024-05-25 12:33:27,327] - INFO: Epoch 1377/9999, Iter 137680: Loss = 0.01563570275902748, lr = [0.0001] +[2024-05-25 12:33:55,816] - INFO: Epoch 1378/9999, Iter 137720: Loss = 0.008391660638153553, lr = [0.0001] +[2024-05-25 12:34:23,056] - INFO: Epoch 1378/9999, Iter 137760: Loss = 0.010777258314192295, lr = [0.0001] +[2024-05-25 12:34:51,615] - INFO: Epoch 1379/9999, Iter 137800: Loss = 0.016196157783269882, lr = [0.0001] +[2024-05-25 12:35:18,964] - INFO: Epoch 1379/9999, Iter 137840: Loss = 0.012585368938744068, lr = [0.0001] +[2024-05-25 12:35:46,198] - INFO: Epoch 1379/9999, Iter 137880: Loss = 0.015411926433444023, lr = [0.0001] +[2024-05-25 12:36:14,689] - INFO: Epoch 1380/9999, Iter 137920: Loss = 0.013193751685321331, lr = [0.0001] +[2024-05-25 12:36:41,931] - INFO: Epoch 1380/9999, Iter 137960: Loss = 0.007742444518953562, lr = [0.0001] +[2024-05-25 12:37:08,909] - INFO: Evaluate at epoch 1380! +[2024-05-25 12:37:13,513] - INFO: Eval PSNR (max): 38.055 (1325) SSIM (max): 0.9611 (1220) +[2024-05-25 12:37:13,514] - INFO: Eval PSNR (current): 37.967 (1380) SSIM (current): 0.9608 (1380) +[2024-05-25 12:37:13,514] - INFO: Evaluation over. +[2024-05-25 12:37:21,979] - INFO: Epoch 1381/9999, Iter 138000: Loss = 0.009648894891142845, lr = [0.0001] +[2024-05-25 12:37:49,346] - INFO: Epoch 1381/9999, Iter 138040: Loss = 0.014107173308730125, lr = [0.0001] +[2024-05-25 12:38:16,643] - INFO: Epoch 1381/9999, Iter 138080: Loss = 0.007081200834363699, lr = [0.0001] +[2024-05-25 12:38:45,369] - INFO: Epoch 1382/9999, Iter 138120: Loss = 0.0135499844327569, lr = [0.0001] +[2024-05-25 12:39:12,668] - INFO: Epoch 1382/9999, Iter 138160: Loss = 0.01526973769068718, lr = [0.0001] +[2024-05-25 12:39:41,463] - INFO: Epoch 1383/9999, Iter 138200: Loss = 0.015738096088171005, lr = [0.0001] +[2024-05-25 12:40:08,837] - INFO: Epoch 1383/9999, Iter 138240: Loss = 0.01570461504161358, lr = [0.0001] +[2024-05-25 12:40:36,120] - INFO: Epoch 1383/9999, Iter 138280: Loss = 0.00840587355196476, lr = [0.0001] +[2024-05-25 12:41:04,786] - INFO: Epoch 1384/9999, Iter 138320: Loss = 0.013805199414491653, lr = [0.0001] +[2024-05-25 12:41:31,987] - INFO: Epoch 1384/9999, Iter 138360: Loss = 0.013325763866305351, lr = [0.0001] +[2024-05-25 12:42:00,846] - INFO: Epoch 1385/9999, Iter 138400: Loss = 0.012440968304872513, lr = [0.0001] +[2024-05-25 12:42:28,142] - INFO: Epoch 1385/9999, Iter 138440: Loss = 0.009561420418322086, lr = [0.0001] +[2024-05-25 12:42:55,461] - INFO: Epoch 1385/9999, Iter 138480: Loss = 0.006579624488949776, lr = [0.0001] +[2024-05-25 12:43:08,762] - INFO: Evaluate at epoch 1385! +[2024-05-25 12:43:13,662] - INFO: Eval PSNR (max): 38.055 (1325) SSIM (max): 0.9611 (1220) +[2024-05-25 12:43:13,662] - INFO: Eval PSNR (current): 37.960 (1385) SSIM (current): 0.9607 (1385) +[2024-05-25 12:43:13,662] - INFO: Evaluation over. +[2024-05-25 12:43:34,443] - INFO: Epoch 1386/9999, Iter 138520: Loss = 0.008427806198596954, lr = [0.0001] +[2024-05-25 12:44:01,722] - INFO: Epoch 1386/9999, Iter 138560: Loss = 0.015415688045322895, lr = [0.0001] +[2024-05-25 12:44:30,365] - INFO: Epoch 1387/9999, Iter 138600: Loss = 0.013232062570750713, lr = [0.0001] +[2024-05-25 12:44:57,747] - INFO: Epoch 1387/9999, Iter 138640: Loss = 0.017456265166401863, lr = [0.0001] +[2024-05-25 12:45:24,920] - INFO: Epoch 1387/9999, Iter 138680: Loss = 0.013600241392850876, lr = [0.0001] +[2024-05-25 12:45:53,520] - INFO: Epoch 1388/9999, Iter 138720: Loss = 0.007691886741667986, lr = [0.0001] +[2024-05-25 12:46:20,687] - INFO: Epoch 1388/9999, Iter 138760: Loss = 0.018538199365139008, lr = [0.0001] +[2024-05-25 12:46:49,121] - INFO: Epoch 1389/9999, Iter 138800: Loss = 0.008695145137608051, lr = [0.0001] +[2024-05-25 12:47:16,492] - INFO: Epoch 1389/9999, Iter 138840: Loss = 0.01420336402952671, lr = [0.0001] +[2024-05-25 12:47:43,705] - INFO: Epoch 1389/9999, Iter 138880: Loss = 0.012276015244424343, lr = [0.0001] +[2024-05-25 12:48:12,711] - INFO: Epoch 1390/9999, Iter 138920: Loss = 0.016420677304267883, lr = [0.0001] +[2024-05-25 12:48:39,919] - INFO: Epoch 1390/9999, Iter 138960: Loss = 0.016095416620373726, lr = [0.0001] +[2024-05-25 12:49:06,818] - INFO: Evaluate at epoch 1390! +[2024-05-25 12:49:11,723] - INFO: Eval PSNR (max): 38.055 (1325) SSIM (max): 0.9611 (1220) +[2024-05-25 12:49:11,724] - INFO: Eval PSNR (current): 37.911 (1390) SSIM (current): 0.9606 (1390) +[2024-05-25 12:49:11,724] - INFO: Evaluation over. +[2024-05-25 12:49:18,986] - INFO: Epoch 1391/9999, Iter 139000: Loss = 0.011562378145754337, lr = [0.0001] +[2024-05-25 12:49:46,241] - INFO: Epoch 1391/9999, Iter 139040: Loss = 0.009359913878142834, lr = [0.0001] +[2024-05-25 12:50:13,453] - INFO: Epoch 1391/9999, Iter 139080: Loss = 0.00907826703041792, lr = [0.0001] +[2024-05-25 12:50:42,183] - INFO: Epoch 1392/9999, Iter 139120: Loss = 0.015825670212507248, lr = [0.0001] +[2024-05-25 12:51:09,382] - INFO: Epoch 1392/9999, Iter 139160: Loss = 0.006031616125255823, lr = [0.0001] +[2024-05-25 12:51:38,140] - INFO: Epoch 1393/9999, Iter 139200: Loss = 0.00789419561624527, lr = [0.0001] +[2024-05-25 12:52:05,456] - INFO: Epoch 1393/9999, Iter 139240: Loss = 0.007261672057211399, lr = [0.0001] +[2024-05-25 12:52:32,584] - INFO: Epoch 1393/9999, Iter 139280: Loss = 0.013904300518333912, lr = [0.0001] +[2024-05-25 12:53:01,569] - INFO: Epoch 1394/9999, Iter 139320: Loss = 0.011943463236093521, lr = [0.0001] +[2024-05-25 12:53:28,834] - INFO: Epoch 1394/9999, Iter 139360: Loss = 0.004208857659250498, lr = [0.0001] +[2024-05-25 12:53:57,277] - INFO: Epoch 1395/9999, Iter 139400: Loss = 0.01240121852606535, lr = [0.0001] +[2024-05-25 12:54:24,702] - INFO: Epoch 1395/9999, Iter 139440: Loss = 0.014970222488045692, lr = [0.0001] +[2024-05-25 12:54:51,922] - INFO: Epoch 1395/9999, Iter 139480: Loss = 0.012875828891992569, lr = [0.0001] +[2024-05-25 12:55:05,254] - INFO: Evaluate at epoch 1395! +[2024-05-25 12:55:10,039] - INFO: Eval PSNR (max): 38.055 (1325) SSIM (max): 0.9611 (1220) +[2024-05-25 12:55:10,040] - INFO: Eval PSNR (current): 38.008 (1395) SSIM (current): 0.9608 (1395) +[2024-05-25 12:55:10,040] - INFO: Evaluation over. +[2024-05-25 12:55:30,216] - INFO: Epoch 1396/9999, Iter 139520: Loss = 0.011585288681089878, lr = [0.0001] +[2024-05-25 12:55:57,437] - INFO: Epoch 1396/9999, Iter 139560: Loss = 0.017914114519953728, lr = [0.0001] +[2024-05-25 12:56:26,069] - INFO: Epoch 1397/9999, Iter 139600: Loss = 0.012522106990218163, lr = [0.0001] +[2024-05-25 12:56:53,362] - INFO: Epoch 1397/9999, Iter 139640: Loss = 0.014401397667825222, lr = [0.0001] +[2024-05-25 12:57:20,557] - INFO: Epoch 1397/9999, Iter 139680: Loss = 0.008164373226463795, lr = [0.0001] +[2024-05-25 12:57:49,324] - INFO: Epoch 1398/9999, Iter 139720: Loss = 0.0143575519323349, lr = [0.0001] +[2024-05-25 12:58:16,541] - INFO: Epoch 1398/9999, Iter 139760: Loss = 0.007191039621829987, lr = [0.0001] +[2024-05-25 12:58:45,033] - INFO: Epoch 1399/9999, Iter 139800: Loss = 0.014741776511073112, lr = [0.0001] +[2024-05-25 12:59:12,366] - INFO: Epoch 1399/9999, Iter 139840: Loss = 0.018566185608506203, lr = [0.0001] +[2024-05-25 12:59:39,575] - INFO: Epoch 1399/9999, Iter 139880: Loss = 0.011004985310137272, lr = [0.0001] +[2024-05-25 13:00:08,283] - INFO: Epoch 1400/9999, Iter 139920: Loss = 0.01782810315489769, lr = [0.0001] +[2024-05-25 13:00:35,519] - INFO: Epoch 1400/9999, Iter 139960: Loss = 0.01298332680016756, lr = [0.0001] +[2024-05-25 13:01:02,397] - INFO: Evaluate at epoch 1400! +[2024-05-25 13:01:07,265] - INFO: Eval PSNR (max): 38.055 (1325) SSIM (max): 0.9611 (1220) +[2024-05-25 13:01:07,266] - INFO: Eval PSNR (current): 37.947 (1400) SSIM (current): 0.9606 (1400) +[2024-05-25 13:01:07,266] - INFO: Evaluation over. +[2024-05-25 13:01:13,923] - INFO: Epoch 1401/9999, Iter 140000: Loss = 0.008711012080311775, lr = [0.0001] +[2024-05-25 13:01:41,229] - INFO: Epoch 1401/9999, Iter 140040: Loss = 0.008890699595212936, lr = [0.0001] +[2024-05-25 13:02:08,438] - INFO: Epoch 1401/9999, Iter 140080: Loss = 0.024168800562620163, lr = [0.0001] +[2024-05-25 13:02:37,094] - INFO: Epoch 1402/9999, Iter 140120: Loss = 0.011027703061699867, lr = [0.0001] +[2024-05-25 13:03:04,342] - INFO: Epoch 1402/9999, Iter 140160: Loss = 0.007090040482580662, lr = [0.0001] +[2024-05-25 13:03:33,088] - INFO: Epoch 1403/9999, Iter 140200: Loss = 0.012215365655720234, lr = [0.0001] +[2024-05-25 13:04:00,394] - INFO: Epoch 1403/9999, Iter 140240: Loss = 0.008185832761228085, lr = [0.0001] +[2024-05-25 13:04:27,576] - INFO: Epoch 1403/9999, Iter 140280: Loss = 0.023841239511966705, lr = [0.0001] +[2024-05-25 13:04:56,498] - INFO: Epoch 1404/9999, Iter 140320: Loss = 0.009360658004879951, lr = [0.0001] +[2024-05-25 13:05:23,698] - INFO: Epoch 1404/9999, Iter 140360: Loss = 0.01981409266591072, lr = [0.0001] +[2024-05-25 13:05:52,442] - INFO: Epoch 1405/9999, Iter 140400: Loss = 0.008033904246985912, lr = [0.0001] +[2024-05-25 13:06:19,704] - INFO: Epoch 1405/9999, Iter 140440: Loss = 0.015458312816917896, lr = [0.0001] +[2024-05-25 13:06:46,869] - INFO: Epoch 1405/9999, Iter 140480: Loss = 0.006929461844265461, lr = [0.0001] +[2024-05-25 13:07:00,177] - INFO: Evaluate at epoch 1405! +[2024-05-25 13:07:04,954] - INFO: Eval PSNR (max): 38.055 (1325) SSIM (max): 0.9611 (1220) +[2024-05-25 13:07:04,955] - INFO: Eval PSNR (current): 37.851 (1405) SSIM (current): 0.9604 (1405) +[2024-05-25 13:07:04,955] - INFO: Evaluation over. +[2024-05-25 13:07:25,468] - INFO: Epoch 1406/9999, Iter 140520: Loss = 0.0075650811195373535, lr = [0.0001] +[2024-05-25 13:07:52,617] - INFO: Epoch 1406/9999, Iter 140560: Loss = 0.01707085594534874, lr = [0.0001] +[2024-05-25 13:08:21,186] - INFO: Epoch 1407/9999, Iter 140600: Loss = 0.017752083018422127, lr = [0.0001] +[2024-05-25 13:08:48,523] - INFO: Epoch 1407/9999, Iter 140640: Loss = 0.02109326794743538, lr = [0.0001] +[2024-05-25 13:09:15,758] - INFO: Epoch 1407/9999, Iter 140680: Loss = 0.007839802652597427, lr = [0.0001] +[2024-05-25 13:09:44,414] - INFO: Epoch 1408/9999, Iter 140720: Loss = 0.014076732099056244, lr = [0.0001] +[2024-05-25 13:10:11,575] - INFO: Epoch 1408/9999, Iter 140760: Loss = 0.012031148187816143, lr = [0.0001] +[2024-05-25 13:10:40,304] - INFO: Epoch 1409/9999, Iter 140800: Loss = 0.013094360940158367, lr = [0.0001] +[2024-05-25 13:11:07,588] - INFO: Epoch 1409/9999, Iter 140840: Loss = 0.018015744164586067, lr = [0.0001] +[2024-05-25 13:11:34,816] - INFO: Epoch 1409/9999, Iter 140880: Loss = 0.012299148365855217, lr = [0.0001] +[2024-05-25 13:12:03,738] - INFO: Epoch 1410/9999, Iter 140920: Loss = 0.005196830723434687, lr = [0.0001] +[2024-05-25 13:12:30,999] - INFO: Epoch 1410/9999, Iter 140960: Loss = 0.016317585483193398, lr = [0.0001] +[2024-05-25 13:12:57,879] - INFO: Evaluate at epoch 1410! +[2024-05-25 13:13:02,680] - INFO: Eval PSNR (max): 38.055 (1325) SSIM (max): 0.9611 (1220) +[2024-05-25 13:13:02,680] - INFO: Eval PSNR (current): 37.948 (1410) SSIM (current): 0.9609 (1410) +[2024-05-25 13:13:02,680] - INFO: Evaluation over. +[2024-05-25 13:13:14,183] - INFO: Epoch 1411/9999, Iter 141000: Loss = 0.011479583568871021, lr = [0.0001] +[2024-05-25 13:13:42,133] - INFO: Epoch 1411/9999, Iter 141040: Loss = 0.01059509627521038, lr = [0.0001] +[2024-05-25 13:14:09,444] - INFO: Epoch 1411/9999, Iter 141080: Loss = 0.009216380305588245, lr = [0.0001] +[2024-05-25 13:14:38,246] - INFO: Epoch 1412/9999, Iter 141120: Loss = 0.011967157945036888, lr = [0.0001] +[2024-05-25 13:15:05,457] - INFO: Epoch 1412/9999, Iter 141160: Loss = 0.007806139998137951, lr = [0.0001] +[2024-05-25 13:15:34,093] - INFO: Epoch 1413/9999, Iter 141200: Loss = 0.01204609964042902, lr = [0.0001] +[2024-05-25 13:16:01,394] - INFO: Epoch 1413/9999, Iter 141240: Loss = 0.018220175057649612, lr = [0.0001] +[2024-05-25 13:16:28,598] - INFO: Epoch 1413/9999, Iter 141280: Loss = 0.009625962935388088, lr = [0.0001] +[2024-05-25 13:16:57,098] - INFO: Epoch 1414/9999, Iter 141320: Loss = 0.01903359591960907, lr = [0.0001] +[2024-05-25 13:17:24,279] - INFO: Epoch 1414/9999, Iter 141360: Loss = 0.02049553208053112, lr = [0.0001] +[2024-05-25 13:17:52,794] - INFO: Epoch 1415/9999, Iter 141400: Loss = 0.006793791428208351, lr = [0.0001] +[2024-05-25 13:18:20,079] - INFO: Epoch 1415/9999, Iter 141440: Loss = 0.01878921128809452, lr = [0.0001] +[2024-05-25 13:18:47,300] - INFO: Epoch 1415/9999, Iter 141480: Loss = 0.021071359515190125, lr = [0.0001] +[2024-05-25 13:19:00,599] - INFO: Evaluate at epoch 1415! +[2024-05-25 13:19:05,391] - INFO: Eval PSNR (max): 38.055 (1325) SSIM (max): 0.9611 (1220) +[2024-05-25 13:19:05,391] - INFO: Eval PSNR (current): 37.961 (1415) SSIM (current): 0.9607 (1415) +[2024-05-25 13:19:05,391] - INFO: Evaluation over. +[2024-05-25 13:19:26,423] - INFO: Epoch 1416/9999, Iter 141520: Loss = 0.017741484567523003, lr = [0.0001] +[2024-05-25 13:19:53,733] - INFO: Epoch 1416/9999, Iter 141560: Loss = 0.01447356678545475, lr = [0.0001] +[2024-05-25 13:20:22,130] - INFO: Epoch 1417/9999, Iter 141600: Loss = 0.013152584433555603, lr = [0.0001] +[2024-05-25 13:20:49,382] - INFO: Epoch 1417/9999, Iter 141640: Loss = 0.008706538006663322, lr = [0.0001] +[2024-05-25 13:21:16,630] - INFO: Epoch 1417/9999, Iter 141680: Loss = 0.012932958081364632, lr = [0.0001] +[2024-05-25 13:21:45,351] - INFO: Epoch 1418/9999, Iter 141720: Loss = 0.011677967384457588, lr = [0.0001] +[2024-05-25 13:22:12,521] - INFO: Epoch 1418/9999, Iter 141760: Loss = 0.0120825981721282, lr = [0.0001] +[2024-05-25 13:22:41,085] - INFO: Epoch 1419/9999, Iter 141800: Loss = 0.007907839491963387, lr = [0.0001] +[2024-05-25 13:23:08,448] - INFO: Epoch 1419/9999, Iter 141840: Loss = 0.007345641031861305, lr = [0.0001] +[2024-05-25 13:23:35,631] - INFO: Epoch 1419/9999, Iter 141880: Loss = 0.008253577165305614, lr = [0.0001] +[2024-05-25 13:24:04,341] - INFO: Epoch 1420/9999, Iter 141920: Loss = 0.010703014209866524, lr = [0.0001] +[2024-05-25 13:24:31,551] - INFO: Epoch 1420/9999, Iter 141960: Loss = 0.009710084646940231, lr = [0.0001] +[2024-05-25 13:24:58,375] - INFO: Evaluate at epoch 1420! +[2024-05-25 13:25:03,096] - INFO: Eval PSNR (max): 38.055 (1325) SSIM (max): 0.9611 (1220) +[2024-05-25 13:25:03,096] - INFO: Eval PSNR (current): 37.889 (1420) SSIM (current): 0.9605 (1420) +[2024-05-25 13:25:03,096] - INFO: Evaluation over. +[2024-05-25 13:25:09,795] - INFO: Epoch 1421/9999, Iter 142000: Loss = 0.014263114891946316, lr = [0.0001] +[2024-05-25 13:25:37,078] - INFO: Epoch 1421/9999, Iter 142040: Loss = 0.01540989801287651, lr = [0.0001] +[2024-05-25 13:26:04,262] - INFO: Epoch 1421/9999, Iter 142080: Loss = 0.014807510189712048, lr = [0.0001] +[2024-05-25 13:26:32,878] - INFO: Epoch 1422/9999, Iter 142120: Loss = 0.015785470604896545, lr = [0.0001] +[2024-05-25 13:27:00,087] - INFO: Epoch 1422/9999, Iter 142160: Loss = 0.011938770301640034, lr = [0.0001] +[2024-05-25 13:27:28,596] - INFO: Epoch 1423/9999, Iter 142200: Loss = 0.015402683988213539, lr = [0.0001] +[2024-05-25 13:27:55,919] - INFO: Epoch 1423/9999, Iter 142240: Loss = 0.008962227031588554, lr = [0.0001] +[2024-05-25 13:28:23,087] - INFO: Epoch 1423/9999, Iter 142280: Loss = 0.0062881894409656525, lr = [0.0001] +[2024-05-25 13:28:51,846] - INFO: Epoch 1424/9999, Iter 142320: Loss = 0.009885335341095924, lr = [0.0001] +[2024-05-25 13:29:19,072] - INFO: Epoch 1424/9999, Iter 142360: Loss = 0.012659484520554543, lr = [0.0001] +[2024-05-25 13:29:47,637] - INFO: Epoch 1425/9999, Iter 142400: Loss = 0.013444839976727962, lr = [0.0001] +[2024-05-25 13:30:14,892] - INFO: Epoch 1425/9999, Iter 142440: Loss = 0.008995681069791317, lr = [0.0001] +[2024-05-25 13:30:42,111] - INFO: Epoch 1425/9999, Iter 142480: Loss = 0.011858288198709488, lr = [0.0001] +[2024-05-25 13:30:55,473] - INFO: Evaluate at epoch 1425! +[2024-05-25 13:31:00,462] - INFO: Eval PSNR (max): 38.055 (1325) SSIM (max): 0.9611 (1220) +[2024-05-25 13:31:00,462] - INFO: Eval PSNR (current): 37.903 (1425) SSIM (current): 0.9606 (1425) +[2024-05-25 13:31:00,462] - INFO: Evaluation over. +[2024-05-25 13:31:21,216] - INFO: Epoch 1426/9999, Iter 142520: Loss = 0.012926433235406876, lr = [0.0001] +[2024-05-25 13:31:48,361] - INFO: Epoch 1426/9999, Iter 142560: Loss = 0.01890150085091591, lr = [0.0001] +[2024-05-25 13:32:16,683] - INFO: Epoch 1427/9999, Iter 142600: Loss = 0.012422988191246986, lr = [0.0001] +[2024-05-25 13:32:43,931] - INFO: Epoch 1427/9999, Iter 142640: Loss = 0.01943359151482582, lr = [0.0001] +[2024-05-25 13:33:11,127] - INFO: Epoch 1427/9999, Iter 142680: Loss = 0.016153350472450256, lr = [0.0001] +[2024-05-25 13:33:39,655] - INFO: Epoch 1428/9999, Iter 142720: Loss = 0.014668891206383705, lr = [0.0001] +[2024-05-25 13:34:06,806] - INFO: Epoch 1428/9999, Iter 142760: Loss = 0.018066057935357094, lr = [0.0001] +[2024-05-25 13:34:35,389] - INFO: Epoch 1429/9999, Iter 142800: Loss = 0.02021537534892559, lr = [0.0001] +[2024-05-25 13:35:02,623] - INFO: Epoch 1429/9999, Iter 142840: Loss = 0.007406735792756081, lr = [0.0001] +[2024-05-25 13:35:29,863] - INFO: Epoch 1429/9999, Iter 142880: Loss = 0.010727361775934696, lr = [0.0001] +[2024-05-25 13:35:58,479] - INFO: Epoch 1430/9999, Iter 142920: Loss = 0.014003440737724304, lr = [0.0001] +[2024-05-25 13:36:25,737] - INFO: Epoch 1430/9999, Iter 142960: Loss = 0.006319241598248482, lr = [0.0001] +[2024-05-25 13:36:52,679] - INFO: Evaluate at epoch 1430! +[2024-05-25 13:36:57,614] - INFO: Eval PSNR (max): 38.055 (1325) SSIM (max): 0.9611 (1220) +[2024-05-25 13:36:57,614] - INFO: Eval PSNR (current): 37.534 (1430) SSIM (current): 0.9604 (1430) +[2024-05-25 13:36:57,614] - INFO: Evaluation over. +[2024-05-25 13:37:04,359] - INFO: Epoch 1431/9999, Iter 143000: Loss = 0.010495318099856377, lr = [0.0001] +[2024-05-25 13:37:31,666] - INFO: Epoch 1431/9999, Iter 143040: Loss = 0.02096790261566639, lr = [0.0001] +[2024-05-25 13:37:58,856] - INFO: Epoch 1431/9999, Iter 143080: Loss = 0.005314192268997431, lr = [0.0001] +[2024-05-25 13:38:27,452] - INFO: Epoch 1432/9999, Iter 143120: Loss = 0.01717178337275982, lr = [0.0001] +[2024-05-25 13:38:54,643] - INFO: Epoch 1432/9999, Iter 143160: Loss = 0.009958081878721714, lr = [0.0001] +[2024-05-25 13:39:23,063] - INFO: Epoch 1433/9999, Iter 143200: Loss = 0.011604447849094868, lr = [0.0001] +[2024-05-25 13:39:50,287] - INFO: Epoch 1433/9999, Iter 143240: Loss = 0.015533102676272392, lr = [0.0001] +[2024-05-25 13:40:17,441] - INFO: Epoch 1433/9999, Iter 143280: Loss = 0.008758432231843472, lr = [0.0001] +[2024-05-25 13:40:46,322] - INFO: Epoch 1434/9999, Iter 143320: Loss = 0.012808465398848057, lr = [0.0001] +[2024-05-25 13:41:13,523] - INFO: Epoch 1434/9999, Iter 143360: Loss = 0.012109695002436638, lr = [0.0001] +[2024-05-25 13:41:42,117] - INFO: Epoch 1435/9999, Iter 143400: Loss = 0.01653830148279667, lr = [0.0001] +[2024-05-25 13:42:09,361] - INFO: Epoch 1435/9999, Iter 143440: Loss = 0.008544121868908405, lr = [0.0001] +[2024-05-25 13:42:36,588] - INFO: Epoch 1435/9999, Iter 143480: Loss = 0.011843301355838776, lr = [0.0001] +[2024-05-25 13:42:49,873] - INFO: Evaluate at epoch 1435! +[2024-05-25 13:42:54,562] - INFO: Eval PSNR (max): 38.055 (1325) SSIM (max): 0.9611 (1220) +[2024-05-25 13:42:54,562] - INFO: Eval PSNR (current): 37.915 (1435) SSIM (current): 0.9608 (1435) +[2024-05-25 13:42:54,562] - INFO: Evaluation over. +[2024-05-25 13:43:14,798] - INFO: Epoch 1436/9999, Iter 143520: Loss = 0.026757704094052315, lr = [0.0001] +[2024-05-25 13:43:42,013] - INFO: Epoch 1436/9999, Iter 143560: Loss = 0.020511789247393608, lr = [0.0001] +[2024-05-25 13:44:10,844] - INFO: Epoch 1437/9999, Iter 143600: Loss = 0.00939084216952324, lr = [0.0001] +[2024-05-25 13:44:38,090] - INFO: Epoch 1437/9999, Iter 143640: Loss = 0.020079070702195168, lr = [0.0001] +[2024-05-25 13:45:05,356] - INFO: Epoch 1437/9999, Iter 143680: Loss = 0.022478142753243446, lr = [0.0001] +[2024-05-25 13:45:34,159] - INFO: Epoch 1438/9999, Iter 143720: Loss = 0.009874273091554642, lr = [0.0001] +[2024-05-25 13:46:01,288] - INFO: Epoch 1438/9999, Iter 143760: Loss = 0.007577198091894388, lr = [0.0001] +[2024-05-25 13:46:30,018] - INFO: Epoch 1439/9999, Iter 143800: Loss = 0.012166272848844528, lr = [0.0001] +[2024-05-25 13:46:57,300] - INFO: Epoch 1439/9999, Iter 143840: Loss = 0.02291904203593731, lr = [0.0001] +[2024-05-25 13:47:24,487] - INFO: Epoch 1439/9999, Iter 143880: Loss = 0.01365684811025858, lr = [0.0001] +[2024-05-25 13:47:53,047] - INFO: Epoch 1440/9999, Iter 143920: Loss = 0.010721760801970959, lr = [0.0001] +[2024-05-25 13:48:20,224] - INFO: Epoch 1440/9999, Iter 143960: Loss = 0.01161595992743969, lr = [0.0001] +[2024-05-25 13:48:47,132] - INFO: Evaluate at epoch 1440! +[2024-05-25 13:48:51,745] - INFO: Eval PSNR (max): 38.055 (1325) SSIM (max): 0.9611 (1220) +[2024-05-25 13:48:51,745] - INFO: Eval PSNR (current): 37.918 (1440) SSIM (current): 0.9604 (1440) +[2024-05-25 13:48:51,745] - INFO: Evaluation over. +[2024-05-25 13:48:58,513] - INFO: Epoch 1441/9999, Iter 144000: Loss = 0.010991145856678486, lr = [0.0001] +[2024-05-25 13:49:25,766] - INFO: Epoch 1441/9999, Iter 144040: Loss = 0.011271494440734386, lr = [0.0001] +[2024-05-25 13:49:52,968] - INFO: Epoch 1441/9999, Iter 144080: Loss = 0.012273909524083138, lr = [0.0001] +[2024-05-25 13:50:21,483] - INFO: Epoch 1442/9999, Iter 144120: Loss = 0.020707566291093826, lr = [0.0001] +[2024-05-25 13:50:48,666] - INFO: Epoch 1442/9999, Iter 144160: Loss = 0.014892171137034893, lr = [0.0001] +[2024-05-25 13:51:17,509] - INFO: Epoch 1443/9999, Iter 144200: Loss = 0.013295439071953297, lr = [0.0001] +[2024-05-25 13:51:44,721] - INFO: Epoch 1443/9999, Iter 144240: Loss = 0.012491176836192608, lr = [0.0001] +[2024-05-25 13:52:11,939] - INFO: Epoch 1443/9999, Iter 144280: Loss = 0.005325743462890387, lr = [0.0001] +[2024-05-25 13:52:40,618] - INFO: Epoch 1444/9999, Iter 144320: Loss = 0.013451235368847847, lr = [0.0001] +[2024-05-25 13:53:07,787] - INFO: Epoch 1444/9999, Iter 144360: Loss = 0.009738815017044544, lr = [0.0001] +[2024-05-25 13:53:36,441] - INFO: Epoch 1445/9999, Iter 144400: Loss = 0.01903996244072914, lr = [0.0001] +[2024-05-25 13:54:03,750] - INFO: Epoch 1445/9999, Iter 144440: Loss = 0.015484057366847992, lr = [0.0001] +[2024-05-25 13:54:30,950] - INFO: Epoch 1445/9999, Iter 144480: Loss = 0.010618687607347965, lr = [0.0001] +[2024-05-25 13:54:44,234] - INFO: Evaluate at epoch 1445! +[2024-05-25 13:54:49,047] - INFO: Eval PSNR (max): 38.055 (1325) SSIM (max): 0.9611 (1220) +[2024-05-25 13:54:49,048] - INFO: Eval PSNR (current): 37.877 (1445) SSIM (current): 0.9606 (1445) +[2024-05-25 13:54:49,048] - INFO: Evaluation over. +[2024-05-25 13:55:09,567] - INFO: Epoch 1446/9999, Iter 144520: Loss = 0.010845773853361607, lr = [0.0001] +[2024-05-25 13:55:36,798] - INFO: Epoch 1446/9999, Iter 144560: Loss = 0.01704694889485836, lr = [0.0001] +[2024-05-25 13:56:05,209] - INFO: Epoch 1447/9999, Iter 144600: Loss = 0.02270105667412281, lr = [0.0001] +[2024-05-25 13:56:32,519] - INFO: Epoch 1447/9999, Iter 144640: Loss = 0.007606884930282831, lr = [0.0001] +[2024-05-25 13:56:59,788] - INFO: Epoch 1447/9999, Iter 144680: Loss = 0.024221248924732208, lr = [0.0001] +[2024-05-25 13:57:28,355] - INFO: Epoch 1448/9999, Iter 144720: Loss = 0.009366285055875778, lr = [0.0001] +[2024-05-25 13:57:55,546] - INFO: Epoch 1448/9999, Iter 144760: Loss = 0.016918806359171867, lr = [0.0001] +[2024-05-25 13:58:24,124] - INFO: Epoch 1449/9999, Iter 144800: Loss = 0.01850351132452488, lr = [0.0001] +[2024-05-25 13:58:51,391] - INFO: Epoch 1449/9999, Iter 144840: Loss = 0.009960252791643143, lr = [0.0001] +[2024-05-25 13:59:18,607] - INFO: Epoch 1449/9999, Iter 144880: Loss = 0.010846727527678013, lr = [0.0001] +[2024-05-25 13:59:47,343] - INFO: Epoch 1450/9999, Iter 144920: Loss = 0.013603068888187408, lr = [0.0001] +[2024-05-25 14:00:14,534] - INFO: Epoch 1450/9999, Iter 144960: Loss = 0.013489802367985249, lr = [0.0001] +[2024-05-25 14:00:41,436] - INFO: Evaluate at epoch 1450! +[2024-05-25 14:00:46,254] - INFO: Eval PSNR (max): 38.055 (1325) SSIM (max): 0.9611 (1220) +[2024-05-25 14:00:46,254] - INFO: Eval PSNR (current): 37.863 (1450) SSIM (current): 0.9605 (1450) +[2024-05-25 14:00:46,254] - INFO: Evaluation over. +[2024-05-25 14:00:53,224] - INFO: Epoch 1451/9999, Iter 145000: Loss = 0.01280339527875185, lr = [0.0001] +[2024-05-25 14:01:20,528] - INFO: Epoch 1451/9999, Iter 145040: Loss = 0.010440771467983723, lr = [0.0001] +[2024-05-25 14:01:47,768] - INFO: Epoch 1451/9999, Iter 145080: Loss = 0.013052833266556263, lr = [0.0001] +[2024-05-25 14:02:16,136] - INFO: Epoch 1452/9999, Iter 145120: Loss = 0.014029818587005138, lr = [0.0001] +[2024-05-25 14:02:43,291] - INFO: Epoch 1452/9999, Iter 145160: Loss = 0.019440574571490288, lr = [0.0001] +[2024-05-25 14:03:11,859] - INFO: Epoch 1453/9999, Iter 145200: Loss = 0.011592189781367779, lr = [0.0001] +[2024-05-25 14:03:39,224] - INFO: Epoch 1453/9999, Iter 145240: Loss = 0.015369064174592495, lr = [0.0001] +[2024-05-25 14:04:06,362] - INFO: Epoch 1453/9999, Iter 145280: Loss = 0.012970267795026302, lr = [0.0001] +[2024-05-25 14:04:35,079] - INFO: Epoch 1454/9999, Iter 145320: Loss = 0.00839311070740223, lr = [0.0001] +[2024-05-25 14:05:02,350] - INFO: Epoch 1454/9999, Iter 145360: Loss = 0.015248698182404041, lr = [0.0001] +[2024-05-25 14:05:30,892] - INFO: Epoch 1455/9999, Iter 145400: Loss = 0.007142140995711088, lr = [0.0001] +[2024-05-25 14:05:58,144] - INFO: Epoch 1455/9999, Iter 145440: Loss = 0.016301490366458893, lr = [0.0001] +[2024-05-25 14:06:25,345] - INFO: Epoch 1455/9999, Iter 145480: Loss = 0.015130535699427128, lr = [0.0001] +[2024-05-25 14:06:38,703] - INFO: Evaluate at epoch 1455! +[2024-05-25 14:06:43,518] - INFO: Eval PSNR (max): 38.055 (1325) SSIM (max): 0.9611 (1220) +[2024-05-25 14:06:43,519] - INFO: Eval PSNR (current): 37.901 (1455) SSIM (current): 0.9605 (1455) +[2024-05-25 14:06:43,519] - INFO: Evaluation over. +[2024-05-25 14:07:03,792] - INFO: Epoch 1456/9999, Iter 145520: Loss = 0.02119726873934269, lr = [0.0001] +[2024-05-25 14:07:30,966] - INFO: Epoch 1456/9999, Iter 145560: Loss = 0.009835106320679188, lr = [0.0001] +[2024-05-25 14:07:59,436] - INFO: Epoch 1457/9999, Iter 145600: Loss = 0.01214697863906622, lr = [0.0001] +[2024-05-25 14:08:26,691] - INFO: Epoch 1457/9999, Iter 145640: Loss = 0.015541712753474712, lr = [0.0001] +[2024-05-25 14:08:53,869] - INFO: Epoch 1457/9999, Iter 145680: Loss = 0.01401070412248373, lr = [0.0001] +[2024-05-25 14:09:22,511] - INFO: Epoch 1458/9999, Iter 145720: Loss = 0.01869107596576214, lr = [0.0001] +[2024-05-25 14:09:49,681] - INFO: Epoch 1458/9999, Iter 145760: Loss = 0.01011389959603548, lr = [0.0001] +[2024-05-25 14:10:18,524] - INFO: Epoch 1459/9999, Iter 145800: Loss = 0.009404950775206089, lr = [0.0001] +[2024-05-25 14:10:45,769] - INFO: Epoch 1459/9999, Iter 145840: Loss = 0.014202713966369629, lr = [0.0001] +[2024-05-25 14:11:12,986] - INFO: Epoch 1459/9999, Iter 145880: Loss = 0.013672004453837872, lr = [0.0001] +[2024-05-25 14:11:41,734] - INFO: Epoch 1460/9999, Iter 145920: Loss = 0.01155466865748167, lr = [0.0001] +[2024-05-25 14:12:08,939] - INFO: Epoch 1460/9999, Iter 145960: Loss = 0.010710674338042736, lr = [0.0001] +[2024-05-25 14:12:35,878] - INFO: Evaluate at epoch 1460! +[2024-05-25 14:12:40,701] - INFO: Eval PSNR (max): 38.055 (1325) SSIM (max): 0.9611 (1220) +[2024-05-25 14:12:40,701] - INFO: Eval PSNR (current): 37.920 (1460) SSIM (current): 0.9604 (1460) +[2024-05-25 14:12:40,701] - INFO: Evaluation over. +[2024-05-25 14:12:47,436] - INFO: Epoch 1461/9999, Iter 146000: Loss = 0.016417600214481354, lr = [0.0001] +[2024-05-25 14:13:14,713] - INFO: Epoch 1461/9999, Iter 146040: Loss = 0.010832104831933975, lr = [0.0001] +[2024-05-25 14:13:41,853] - INFO: Epoch 1461/9999, Iter 146080: Loss = 0.011586016975343227, lr = [0.0001] +[2024-05-25 14:14:10,492] - INFO: Epoch 1462/9999, Iter 146120: Loss = 0.015602678060531616, lr = [0.0001] +[2024-05-25 14:14:37,767] - INFO: Epoch 1462/9999, Iter 146160: Loss = 0.01636555604636669, lr = [0.0001] +[2024-05-25 14:15:06,466] - INFO: Epoch 1463/9999, Iter 146200: Loss = 0.010754650458693504, lr = [0.0001] +[2024-05-25 14:15:33,750] - INFO: Epoch 1463/9999, Iter 146240: Loss = 0.011616174131631851, lr = [0.0001] +[2024-05-25 14:16:00,946] - INFO: Epoch 1463/9999, Iter 146280: Loss = 0.022597208619117737, lr = [0.0001] +[2024-05-25 14:16:29,639] - INFO: Epoch 1464/9999, Iter 146320: Loss = 0.024572288617491722, lr = [0.0001] +[2024-05-25 14:16:56,740] - INFO: Epoch 1464/9999, Iter 146360: Loss = 0.01569513976573944, lr = [0.0001] +[2024-05-25 14:17:25,330] - INFO: Epoch 1465/9999, Iter 146400: Loss = 0.014869623817503452, lr = [0.0001] +[2024-05-25 14:17:52,611] - INFO: Epoch 1465/9999, Iter 146440: Loss = 0.01488491427153349, lr = [0.0001] +[2024-05-25 14:18:19,762] - INFO: Epoch 1465/9999, Iter 146480: Loss = 0.018800916150212288, lr = [0.0001] +[2024-05-25 14:18:33,052] - INFO: Evaluate at epoch 1465! +[2024-05-25 14:18:37,777] - INFO: Eval PSNR (max): 38.055 (1325) SSIM (max): 0.9611 (1220) +[2024-05-25 14:18:37,777] - INFO: Eval PSNR (current): 37.846 (1465) SSIM (current): 0.9606 (1465) +[2024-05-25 14:18:37,777] - INFO: Evaluation over. +[2024-05-25 14:18:58,212] - INFO: Epoch 1466/9999, Iter 146520: Loss = 0.007135727908462286, lr = [0.0001] +[2024-05-25 14:19:25,411] - INFO: Epoch 1466/9999, Iter 146560: Loss = 0.01861567236483097, lr = [0.0001] +[2024-05-25 14:19:53,983] - INFO: Epoch 1467/9999, Iter 146600: Loss = 0.009981103241443634, lr = [0.0001] +[2024-05-25 14:20:21,244] - INFO: Epoch 1467/9999, Iter 146640: Loss = 0.007708429358899593, lr = [0.0001] +[2024-05-25 14:20:48,514] - INFO: Epoch 1467/9999, Iter 146680: Loss = 0.00715402327477932, lr = [0.0001] +[2024-05-25 14:21:17,217] - INFO: Epoch 1468/9999, Iter 146720: Loss = 0.006257352884858847, lr = [0.0001] +[2024-05-25 14:21:44,369] - INFO: Epoch 1468/9999, Iter 146760: Loss = 0.015120113268494606, lr = [0.0001] +[2024-05-25 14:22:12,837] - INFO: Epoch 1469/9999, Iter 146800: Loss = 0.01448746956884861, lr = [0.0001] +[2024-05-25 14:22:40,130] - INFO: Epoch 1469/9999, Iter 146840: Loss = 0.0168437696993351, lr = [0.0001] +[2024-05-25 14:23:07,384] - INFO: Epoch 1469/9999, Iter 146880: Loss = 0.011706010438501835, lr = [0.0001] +[2024-05-25 14:23:35,966] - INFO: Epoch 1470/9999, Iter 146920: Loss = 0.01223139837384224, lr = [0.0001] +[2024-05-25 14:24:03,125] - INFO: Epoch 1470/9999, Iter 146960: Loss = 0.01808157004415989, lr = [0.0001] +[2024-05-25 14:24:30,023] - INFO: Evaluate at epoch 1470! +[2024-05-25 14:24:34,869] - INFO: Eval PSNR (max): 38.055 (1325) SSIM (max): 0.9611 (1220) +[2024-05-25 14:24:34,869] - INFO: Eval PSNR (current): 37.992 (1470) SSIM (current): 0.9607 (1470) +[2024-05-25 14:24:34,870] - INFO: Evaluation over. +[2024-05-25 14:24:41,792] - INFO: Epoch 1471/9999, Iter 147000: Loss = 0.009511391632258892, lr = [0.0001] +[2024-05-25 14:25:09,157] - INFO: Epoch 1471/9999, Iter 147040: Loss = 0.011845039203763008, lr = [0.0001] +[2024-05-25 14:25:36,368] - INFO: Epoch 1471/9999, Iter 147080: Loss = 0.010096496902406216, lr = [0.0001] +[2024-05-25 14:26:04,911] - INFO: Epoch 1472/9999, Iter 147120: Loss = 0.014566498808562756, lr = [0.0001] +[2024-05-25 14:26:32,065] - INFO: Epoch 1472/9999, Iter 147160: Loss = 0.023862194269895554, lr = [0.0001] +[2024-05-25 14:27:00,584] - INFO: Epoch 1473/9999, Iter 147200: Loss = 0.01954570598900318, lr = [0.0001] +[2024-05-25 14:27:27,891] - INFO: Epoch 1473/9999, Iter 147240: Loss = 0.008943230845034122, lr = [0.0001] +[2024-05-25 14:27:55,080] - INFO: Epoch 1473/9999, Iter 147280: Loss = 0.01713385060429573, lr = [0.0001] +[2024-05-25 14:28:23,750] - INFO: Epoch 1474/9999, Iter 147320: Loss = 0.012917405925691128, lr = [0.0001] +[2024-05-25 14:28:50,928] - INFO: Epoch 1474/9999, Iter 147360: Loss = 0.014644567854702473, lr = [0.0001] +[2024-05-25 14:29:19,677] - INFO: Epoch 1475/9999, Iter 147400: Loss = 0.012235837057232857, lr = [0.0001] +[2024-05-25 14:29:46,908] - INFO: Epoch 1475/9999, Iter 147440: Loss = 0.015424947254359722, lr = [0.0001] +[2024-05-25 14:30:14,176] - INFO: Epoch 1475/9999, Iter 147480: Loss = 0.015732094645500183, lr = [0.0001] +[2024-05-25 14:30:27,473] - INFO: Evaluate at epoch 1475! +[2024-05-25 14:30:32,183] - INFO: Eval PSNR (max): 38.055 (1325) SSIM (max): 0.9611 (1220) +[2024-05-25 14:30:32,183] - INFO: Eval PSNR (current): 37.941 (1475) SSIM (current): 0.9607 (1475) +[2024-05-25 14:30:32,183] - INFO: Evaluation over. +[2024-05-25 14:30:52,742] - INFO: Epoch 1476/9999, Iter 147520: Loss = 0.017855461686849594, lr = [0.0001] +[2024-05-25 14:31:19,912] - INFO: Epoch 1476/9999, Iter 147560: Loss = 0.011740011163055897, lr = [0.0001] +[2024-05-25 14:31:48,588] - INFO: Epoch 1477/9999, Iter 147600: Loss = 0.01697283610701561, lr = [0.0001] +[2024-05-25 14:32:15,975] - INFO: Epoch 1477/9999, Iter 147640: Loss = 0.006631809752434492, lr = [0.0001] +[2024-05-25 14:32:43,138] - INFO: Epoch 1477/9999, Iter 147680: Loss = 0.0129941301420331, lr = [0.0001] +[2024-05-25 14:33:11,850] - INFO: Epoch 1478/9999, Iter 147720: Loss = 0.013855055905878544, lr = [0.0001] +[2024-05-25 14:33:39,081] - INFO: Epoch 1478/9999, Iter 147760: Loss = 0.00999413337558508, lr = [0.0001] +[2024-05-25 14:34:07,598] - INFO: Epoch 1479/9999, Iter 147800: Loss = 0.008769320324063301, lr = [0.0001] +[2024-05-25 14:34:34,935] - INFO: Epoch 1479/9999, Iter 147840: Loss = 0.012707682326436043, lr = [0.0001] +[2024-05-25 14:35:02,090] - INFO: Epoch 1479/9999, Iter 147880: Loss = 0.006231715902686119, lr = [0.0001] +[2024-05-25 14:35:30,711] - INFO: Epoch 1480/9999, Iter 147920: Loss = 0.010596259497106075, lr = [0.0001] +[2024-05-25 14:35:57,867] - INFO: Epoch 1480/9999, Iter 147960: Loss = 0.012109672650694847, lr = [0.0001] +[2024-05-25 14:36:24,727] - INFO: Evaluate at epoch 1480! +[2024-05-25 14:36:29,501] - INFO: Eval PSNR (max): 38.055 (1325) SSIM (max): 0.9611 (1220) +[2024-05-25 14:36:29,502] - INFO: Eval PSNR (current): 38.045 (1480) SSIM (current): 0.9609 (1480) +[2024-05-25 14:36:29,502] - INFO: Evaluation over. +[2024-05-25 14:36:36,362] - INFO: Epoch 1481/9999, Iter 148000: Loss = 0.005479627754539251, lr = [0.0001] +[2024-05-25 14:37:03,676] - INFO: Epoch 1481/9999, Iter 148040: Loss = 0.019403837621212006, lr = [0.0001] +[2024-05-25 14:37:30,893] - INFO: Epoch 1481/9999, Iter 148080: Loss = 0.017507417127490044, lr = [0.0001] +[2024-05-25 14:37:59,574] - INFO: Epoch 1482/9999, Iter 148120: Loss = 0.014435146935284138, lr = [0.0001] +[2024-05-25 14:38:26,760] - INFO: Epoch 1482/9999, Iter 148160: Loss = 0.015771420672535896, lr = [0.0001] +[2024-05-25 14:38:55,324] - INFO: Epoch 1483/9999, Iter 148200: Loss = 0.009699849411845207, lr = [0.0001] +[2024-05-25 14:39:22,713] - INFO: Epoch 1483/9999, Iter 148240: Loss = 0.010740058496594429, lr = [0.0001] +[2024-05-25 14:39:49,970] - INFO: Epoch 1483/9999, Iter 148280: Loss = 0.008095727302134037, lr = [0.0001] +[2024-05-25 14:40:18,744] - INFO: Epoch 1484/9999, Iter 148320: Loss = 0.010258171707391739, lr = [0.0001] +[2024-05-25 14:40:46,007] - INFO: Epoch 1484/9999, Iter 148360: Loss = 0.009740273468196392, lr = [0.0001] +[2024-05-25 14:41:14,648] - INFO: Epoch 1485/9999, Iter 148400: Loss = 0.01568308286368847, lr = [0.0001] +[2024-05-25 14:41:41,958] - INFO: Epoch 1485/9999, Iter 148440: Loss = 0.021966595202684402, lr = [0.0001] +[2024-05-25 14:42:09,085] - INFO: Epoch 1485/9999, Iter 148480: Loss = 0.014862027950584888, lr = [0.0001] +[2024-05-25 14:42:22,549] - INFO: Evaluate at epoch 1485! +[2024-05-25 14:42:27,376] - INFO: Eval PSNR (max): 38.055 (1325) SSIM (max): 0.9611 (1220) +[2024-05-25 14:42:27,376] - INFO: Eval PSNR (current): 37.969 (1485) SSIM (current): 0.9607 (1485) +[2024-05-25 14:42:27,377] - INFO: Evaluation over. +[2024-05-25 14:42:47,889] - INFO: Epoch 1486/9999, Iter 148520: Loss = 0.020451439544558525, lr = [0.0001] +[2024-05-25 14:43:15,058] - INFO: Epoch 1486/9999, Iter 148560: Loss = 0.005476064048707485, lr = [0.0001] +[2024-05-25 14:43:43,846] - INFO: Epoch 1487/9999, Iter 148600: Loss = 0.014726707711815834, lr = [0.0001] +[2024-05-25 14:44:11,114] - INFO: Epoch 1487/9999, Iter 148640: Loss = 0.01649564318358898, lr = [0.0001] +[2024-05-25 14:44:38,316] - INFO: Epoch 1487/9999, Iter 148680: Loss = 0.01892225816845894, lr = [0.0001] +[2024-05-25 14:45:06,841] - INFO: Epoch 1488/9999, Iter 148720: Loss = 0.011515939608216286, lr = [0.0001] +[2024-05-25 14:45:34,086] - INFO: Epoch 1488/9999, Iter 148760: Loss = 0.01545097678899765, lr = [0.0001] +[2024-05-25 14:46:02,465] - INFO: Epoch 1489/9999, Iter 148800: Loss = 0.017187204211950302, lr = [0.0001] +[2024-05-25 14:46:29,817] - INFO: Epoch 1489/9999, Iter 148840: Loss = 0.016864463686943054, lr = [0.0001] +[2024-05-25 14:46:57,000] - INFO: Epoch 1489/9999, Iter 148880: Loss = 0.009622064419090748, lr = [0.0001] +[2024-05-25 14:47:25,567] - INFO: Epoch 1490/9999, Iter 148920: Loss = 0.0068451049737632275, lr = [0.0001] +[2024-05-25 14:47:52,766] - INFO: Epoch 1490/9999, Iter 148960: Loss = 0.013863060623407364, lr = [0.0001] +[2024-05-25 14:48:19,671] - INFO: Evaluate at epoch 1490! +[2024-05-25 14:48:24,427] - INFO: Eval PSNR (max): 38.055 (1325) SSIM (max): 0.9611 (1220) +[2024-05-25 14:48:24,427] - INFO: Eval PSNR (current): 37.759 (1490) SSIM (current): 0.9602 (1490) +[2024-05-25 14:48:24,427] - INFO: Evaluation over. +[2024-05-25 14:48:31,380] - INFO: Epoch 1491/9999, Iter 149000: Loss = 0.016593143343925476, lr = [0.0001] +[2024-05-25 14:48:58,612] - INFO: Epoch 1491/9999, Iter 149040: Loss = 0.014512944966554642, lr = [0.0001] +[2024-05-25 14:49:25,838] - INFO: Epoch 1491/9999, Iter 149080: Loss = 0.0119901392608881, lr = [0.0001] +[2024-05-25 14:49:54,545] - INFO: Epoch 1492/9999, Iter 149120: Loss = 0.01933201774954796, lr = [0.0001] +[2024-05-25 14:50:21,767] - INFO: Epoch 1492/9999, Iter 149160: Loss = 0.01407646294683218, lr = [0.0001] +[2024-05-25 14:50:50,338] - INFO: Epoch 1493/9999, Iter 149200: Loss = 0.009338514879345894, lr = [0.0001] +[2024-05-25 14:51:17,614] - INFO: Epoch 1493/9999, Iter 149240: Loss = 0.006228982470929623, lr = [0.0001] +[2024-05-25 14:51:44,876] - INFO: Epoch 1493/9999, Iter 149280: Loss = 0.009861242026090622, lr = [0.0001] +[2024-05-25 14:52:13,572] - INFO: Epoch 1494/9999, Iter 149320: Loss = 0.01348046213388443, lr = [0.0001] +[2024-05-25 14:52:40,799] - INFO: Epoch 1494/9999, Iter 149360: Loss = 0.012381182983517647, lr = [0.0001] +[2024-05-25 14:53:09,488] - INFO: Epoch 1495/9999, Iter 149400: Loss = 0.009474563412368298, lr = [0.0001] +[2024-05-25 14:53:36,776] - INFO: Epoch 1495/9999, Iter 149440: Loss = 0.015025114640593529, lr = [0.0001] +[2024-05-25 14:54:03,951] - INFO: Epoch 1495/9999, Iter 149480: Loss = 0.014966771006584167, lr = [0.0001] +[2024-05-25 14:54:17,223] - INFO: Evaluate at epoch 1495! +[2024-05-25 14:54:22,033] - INFO: Eval PSNR (max): 38.055 (1325) SSIM (max): 0.9611 (1220) +[2024-05-25 14:54:22,033] - INFO: Eval PSNR (current): 37.985 (1495) SSIM (current): 0.9608 (1495) +[2024-05-25 14:54:22,033] - INFO: Evaluation over. +[2024-05-25 14:54:42,503] - INFO: Epoch 1496/9999, Iter 149520: Loss = 0.014637247659265995, lr = [0.0001] +[2024-05-25 14:55:09,771] - INFO: Epoch 1496/9999, Iter 149560: Loss = 0.010613256134092808, lr = [0.0001] +[2024-05-25 14:55:38,405] - INFO: Epoch 1497/9999, Iter 149600: Loss = 0.006373428739607334, lr = [0.0001] +[2024-05-25 14:56:05,740] - INFO: Epoch 1497/9999, Iter 149640: Loss = 0.010839368216693401, lr = [0.0001] +[2024-05-25 14:56:32,939] - INFO: Epoch 1497/9999, Iter 149680: Loss = 0.018644770607352257, lr = [0.0001] +[2024-05-25 14:57:01,512] - INFO: Epoch 1498/9999, Iter 149720: Loss = 0.017584573477506638, lr = [0.0001] +[2024-05-25 14:57:28,714] - INFO: Epoch 1498/9999, Iter 149760: Loss = 0.01012168638408184, lr = [0.0001] +[2024-05-25 14:57:57,405] - INFO: Epoch 1499/9999, Iter 149800: Loss = 0.015977751463651657, lr = [0.0001] +[2024-05-25 14:58:24,802] - INFO: Epoch 1499/9999, Iter 149840: Loss = 0.014641700312495232, lr = [0.0001] +[2024-05-25 14:58:51,928] - INFO: Epoch 1499/9999, Iter 149880: Loss = 0.02259177155792713, lr = [0.0001] +[2024-05-25 14:59:20,416] - INFO: Epoch 1500/9999, Iter 149920: Loss = 0.012013876810669899, lr = [5e-05] +[2024-05-25 14:59:47,709] - INFO: Epoch 1500/9999, Iter 149960: Loss = 0.012669113464653492, lr = [5e-05] +[2024-05-25 15:00:14,629] - INFO: Evaluate at epoch 1500! +[2024-05-25 15:00:19,363] - INFO: Eval PSNR (max): 38.055 (1325) SSIM (max): 0.9611 (1220) +[2024-05-25 15:00:19,363] - INFO: Eval PSNR (current): 38.013 (1500) SSIM (current): 0.9609 (1500) +[2024-05-25 15:00:19,363] - INFO: Evaluation over. +[2024-05-25 15:00:26,247] - INFO: Epoch 1501/9999, Iter 150000: Loss = 0.008737131021916866, lr = [5e-05] +[2024-05-25 15:00:53,579] - INFO: Epoch 1501/9999, Iter 150040: Loss = 0.00961355958133936, lr = [5e-05] +[2024-05-25 15:01:20,778] - INFO: Epoch 1501/9999, Iter 150080: Loss = 0.01610010489821434, lr = [5e-05] +[2024-05-25 15:01:49,283] - INFO: Epoch 1502/9999, Iter 150120: Loss = 0.014711640775203705, lr = [5e-05] +[2024-05-25 15:02:16,489] - INFO: Epoch 1502/9999, Iter 150160: Loss = 0.017865028232336044, lr = [5e-05] +[2024-05-25 15:02:44,962] - INFO: Epoch 1503/9999, Iter 150200: Loss = 0.009578652679920197, lr = [5e-05] +[2024-05-25 15:03:12,332] - INFO: Epoch 1503/9999, Iter 150240: Loss = 0.01316365972161293, lr = [5e-05] +[2024-05-25 15:03:39,569] - INFO: Epoch 1503/9999, Iter 150280: Loss = 0.011206096969544888, lr = [5e-05] +[2024-05-25 15:04:08,186] - INFO: Epoch 1504/9999, Iter 150320: Loss = 0.016308387741446495, lr = [5e-05] +[2024-05-25 15:04:35,390] - INFO: Epoch 1504/9999, Iter 150360: Loss = 0.009021014906466007, lr = [5e-05] +[2024-05-25 15:05:03,795] - INFO: Epoch 1505/9999, Iter 150400: Loss = 0.010127399116754532, lr = [5e-05] +[2024-05-25 15:05:31,167] - INFO: Epoch 1505/9999, Iter 150440: Loss = 0.015070678666234016, lr = [5e-05] +[2024-05-25 15:05:58,366] - INFO: Epoch 1505/9999, Iter 150480: Loss = 0.019078215584158897, lr = [5e-05] +[2024-05-25 15:06:11,654] - INFO: Evaluate at epoch 1505! +[2024-05-25 15:06:16,414] - INFO: Eval PSNR (max): 38.055 (1325) SSIM (max): 0.9611 (1220) +[2024-05-25 15:06:16,415] - INFO: Eval PSNR (current): 37.960 (1505) SSIM (current): 0.9609 (1505) +[2024-05-25 15:06:16,415] - INFO: Evaluation over. +[2024-05-25 15:06:37,033] - INFO: Epoch 1506/9999, Iter 150520: Loss = 0.011607479304075241, lr = [5e-05] +[2024-05-25 15:07:04,218] - INFO: Epoch 1506/9999, Iter 150560: Loss = 0.00985195767134428, lr = [5e-05] +[2024-05-25 15:07:32,964] - INFO: Epoch 1507/9999, Iter 150600: Loss = 0.010934141464531422, lr = [5e-05] +[2024-05-25 15:08:00,328] - INFO: Epoch 1507/9999, Iter 150640: Loss = 0.01610608771443367, lr = [5e-05] +[2024-05-25 15:08:27,498] - INFO: Epoch 1507/9999, Iter 150680: Loss = 0.011081146076321602, lr = [5e-05] +[2024-05-25 15:08:56,197] - INFO: Epoch 1508/9999, Iter 150720: Loss = 0.01404667366296053, lr = [5e-05] +[2024-05-25 15:09:23,418] - INFO: Epoch 1508/9999, Iter 150760: Loss = 0.013626137748360634, lr = [5e-05] +[2024-05-25 15:09:52,180] - INFO: Epoch 1509/9999, Iter 150800: Loss = 0.011724061332643032, lr = [5e-05] +[2024-05-25 15:10:19,478] - INFO: Epoch 1509/9999, Iter 150840: Loss = 0.011005640029907227, lr = [5e-05] +[2024-05-25 15:10:46,681] - INFO: Epoch 1509/9999, Iter 150880: Loss = 0.010757415555417538, lr = [5e-05] +[2024-05-25 15:11:15,289] - INFO: Epoch 1510/9999, Iter 150920: Loss = 0.010748893022537231, lr = [5e-05] +[2024-05-25 15:11:42,459] - INFO: Epoch 1510/9999, Iter 150960: Loss = 0.013154758140444756, lr = [5e-05] +[2024-05-25 15:12:09,394] - INFO: Evaluate at epoch 1510! +[2024-05-25 15:12:19,392] - INFO: Eval PSNR (max): 38.073 (1510) SSIM (max): 0.9611 (1220) +[2024-05-25 15:12:19,393] - INFO: Eval PSNR (current): 38.073 (1510) SSIM (current): 0.9610 (1510) +[2024-05-25 15:12:19,393] - INFO: Evaluation over. +[2024-05-25 15:12:26,258] - INFO: Epoch 1511/9999, Iter 151000: Loss = 0.01963699236512184, lr = [5e-05] +[2024-05-25 15:12:53,475] - INFO: Epoch 1511/9999, Iter 151040: Loss = 0.011155368760228157, lr = [5e-05] +[2024-05-25 15:13:20,682] - INFO: Epoch 1511/9999, Iter 151080: Loss = 0.010302899405360222, lr = [5e-05] +[2024-05-25 15:13:49,260] - INFO: Epoch 1512/9999, Iter 151120: Loss = 0.008010804653167725, lr = [5e-05] +[2024-05-25 15:14:16,491] - INFO: Epoch 1512/9999, Iter 151160: Loss = 0.009958343580365181, lr = [5e-05] +[2024-05-25 15:14:45,149] - INFO: Epoch 1513/9999, Iter 151200: Loss = 0.017557356506586075, lr = [5e-05] +[2024-05-25 15:15:12,511] - INFO: Epoch 1513/9999, Iter 151240: Loss = 0.023994365707039833, lr = [5e-05] +[2024-05-25 15:15:39,680] - INFO: Epoch 1513/9999, Iter 151280: Loss = 0.013026325032114983, lr = [5e-05] +[2024-05-25 15:16:08,386] - INFO: Epoch 1514/9999, Iter 151320: Loss = 0.02199733443558216, lr = [5e-05] +[2024-05-25 15:16:35,714] - INFO: Epoch 1514/9999, Iter 151360: Loss = 0.005750745534896851, lr = [5e-05] +[2024-05-25 15:17:04,330] - INFO: Epoch 1515/9999, Iter 151400: Loss = 0.011063415557146072, lr = [5e-05] +[2024-05-25 15:17:31,635] - INFO: Epoch 1515/9999, Iter 151440: Loss = 0.010318630374968052, lr = [5e-05] +[2024-05-25 15:17:58,853] - INFO: Epoch 1515/9999, Iter 151480: Loss = 0.00922628678381443, lr = [5e-05] +[2024-05-25 15:18:12,192] - INFO: Evaluate at epoch 1515! +[2024-05-25 15:18:16,882] - INFO: Eval PSNR (max): 38.073 (1510) SSIM (max): 0.9611 (1220) +[2024-05-25 15:18:16,882] - INFO: Eval PSNR (current): 38.035 (1515) SSIM (current): 0.9610 (1515) +[2024-05-25 15:18:16,882] - INFO: Evaluation over. +[2024-05-25 15:18:37,411] - INFO: Epoch 1516/9999, Iter 151520: Loss = 0.011886714026331902, lr = [5e-05] +[2024-05-25 15:19:04,562] - INFO: Epoch 1516/9999, Iter 151560: Loss = 0.0069773332215845585, lr = [5e-05] +[2024-05-25 15:19:33,301] - INFO: Epoch 1517/9999, Iter 151600: Loss = 0.016171157360076904, lr = [5e-05] +[2024-05-25 15:20:00,598] - INFO: Epoch 1517/9999, Iter 151640: Loss = 0.017474349588155746, lr = [5e-05] +[2024-05-25 15:20:27,786] - INFO: Epoch 1517/9999, Iter 151680: Loss = 0.014042573980987072, lr = [5e-05] +[2024-05-25 15:20:56,473] - INFO: Epoch 1518/9999, Iter 151720: Loss = 0.010405060835182667, lr = [5e-05] +[2024-05-25 15:21:23,682] - INFO: Epoch 1518/9999, Iter 151760: Loss = 0.014555995352566242, lr = [5e-05] +[2024-05-25 15:21:52,105] - INFO: Epoch 1519/9999, Iter 151800: Loss = 0.01115905400365591, lr = [5e-05] +[2024-05-25 15:22:19,421] - INFO: Epoch 1519/9999, Iter 151840: Loss = 0.007474289275705814, lr = [5e-05] +[2024-05-25 15:22:46,598] - INFO: Epoch 1519/9999, Iter 151880: Loss = 0.010303054936230183, lr = [5e-05] +[2024-05-25 15:23:15,261] - INFO: Epoch 1520/9999, Iter 151920: Loss = 0.015948310494422913, lr = [5e-05] +[2024-05-25 15:23:42,506] - INFO: Epoch 1520/9999, Iter 151960: Loss = 0.0050371610559523106, lr = [5e-05] +[2024-05-25 15:24:09,358] - INFO: Evaluate at epoch 1520! +[2024-05-25 15:24:24,130] - INFO: Eval PSNR (max): 38.073 (1520) SSIM (max): 0.9611 (1520) +[2024-05-25 15:24:24,130] - INFO: Eval PSNR (current): 38.073 (1520) SSIM (current): 0.9611 (1520) +[2024-05-25 15:24:24,131] - INFO: Evaluation over. +[2024-05-25 15:24:31,053] - INFO: Epoch 1521/9999, Iter 152000: Loss = 0.011365024372935295, lr = [5e-05] +[2024-05-25 15:24:58,280] - INFO: Epoch 1521/9999, Iter 152040: Loss = 0.01477832905948162, lr = [5e-05] +[2024-05-25 15:25:25,467] - INFO: Epoch 1521/9999, Iter 152080: Loss = 0.010147741995751858, lr = [5e-05] +[2024-05-25 15:25:54,290] - INFO: Epoch 1522/9999, Iter 152120: Loss = 0.011868075467646122, lr = [5e-05] +[2024-05-25 15:26:21,484] - INFO: Epoch 1522/9999, Iter 152160: Loss = 0.013282875530421734, lr = [5e-05] +[2024-05-25 15:26:49,909] - INFO: Epoch 1523/9999, Iter 152200: Loss = 0.010351913049817085, lr = [5e-05] +[2024-05-25 15:27:17,191] - INFO: Epoch 1523/9999, Iter 152240: Loss = 0.0118362195789814, lr = [5e-05] +[2024-05-25 15:27:44,414] - INFO: Epoch 1523/9999, Iter 152280: Loss = 0.013282912783324718, lr = [5e-05] +[2024-05-25 15:28:13,188] - INFO: Epoch 1524/9999, Iter 152320: Loss = 0.01177685335278511, lr = [5e-05] +[2024-05-25 15:28:40,370] - INFO: Epoch 1524/9999, Iter 152360: Loss = 0.012786786071956158, lr = [5e-05] +[2024-05-25 15:29:08,994] - INFO: Epoch 1525/9999, Iter 152400: Loss = 0.018090784549713135, lr = [5e-05] +[2024-05-25 15:29:36,298] - INFO: Epoch 1525/9999, Iter 152440: Loss = 0.011369426734745502, lr = [5e-05] +[2024-05-25 15:30:03,523] - INFO: Epoch 1525/9999, Iter 152480: Loss = 0.00972558744251728, lr = [5e-05] +[2024-05-25 15:30:16,801] - INFO: Evaluate at epoch 1525! +[2024-05-25 15:30:21,636] - INFO: Eval PSNR (max): 38.073 (1520) SSIM (max): 0.9611 (1520) +[2024-05-25 15:30:21,637] - INFO: Eval PSNR (current): 38.013 (1525) SSIM (current): 0.9610 (1525) +[2024-05-25 15:30:21,637] - INFO: Evaluation over. +[2024-05-25 15:30:42,218] - INFO: Epoch 1526/9999, Iter 152520: Loss = 0.006441052537411451, lr = [5e-05] +[2024-05-25 15:31:09,434] - INFO: Epoch 1526/9999, Iter 152560: Loss = 0.009405112825334072, lr = [5e-05] +[2024-05-25 15:31:38,100] - INFO: Epoch 1527/9999, Iter 152600: Loss = 0.009260684251785278, lr = [5e-05] +[2024-05-25 15:32:05,384] - INFO: Epoch 1527/9999, Iter 152640: Loss = 0.008381453342735767, lr = [5e-05] +[2024-05-25 15:32:32,558] - INFO: Epoch 1527/9999, Iter 152680: Loss = 0.007435962557792664, lr = [5e-05] +[2024-05-25 15:33:01,265] - INFO: Epoch 1528/9999, Iter 152720: Loss = 0.016118617728352547, lr = [5e-05] +[2024-05-25 15:33:28,423] - INFO: Epoch 1528/9999, Iter 152760: Loss = 0.018853947520256042, lr = [5e-05] +[2024-05-25 15:33:57,097] - INFO: Epoch 1529/9999, Iter 152800: Loss = 0.01158609427511692, lr = [5e-05] +[2024-05-25 15:34:24,431] - INFO: Epoch 1529/9999, Iter 152840: Loss = 0.009239996783435345, lr = [5e-05] +[2024-05-25 15:34:51,642] - INFO: Epoch 1529/9999, Iter 152880: Loss = 0.016542183235287666, lr = [5e-05] +[2024-05-25 15:35:20,222] - INFO: Epoch 1530/9999, Iter 152920: Loss = 0.016886023804545403, lr = [5e-05] +[2024-05-25 15:35:47,494] - INFO: Epoch 1530/9999, Iter 152960: Loss = 0.015100055374205112, lr = [5e-05] +[2024-05-25 15:36:14,384] - INFO: Evaluate at epoch 1530! +[2024-05-25 15:36:19,249] - INFO: Eval PSNR (max): 38.073 (1520) SSIM (max): 0.9611 (1520) +[2024-05-25 15:36:19,250] - INFO: Eval PSNR (current): 38.060 (1530) SSIM (current): 0.9611 (1530) +[2024-05-25 15:36:19,250] - INFO: Evaluation over. +[2024-05-25 15:36:26,036] - INFO: Epoch 1531/9999, Iter 153000: Loss = 0.010424322448670864, lr = [5e-05] +[2024-05-25 15:36:53,295] - INFO: Epoch 1531/9999, Iter 153040: Loss = 0.013012716546654701, lr = [5e-05] +[2024-05-25 15:37:20,453] - INFO: Epoch 1531/9999, Iter 153080: Loss = 0.007204791996628046, lr = [5e-05] +[2024-05-25 15:37:48,824] - INFO: Epoch 1532/9999, Iter 153120: Loss = 0.01092186477035284, lr = [5e-05] +[2024-05-25 15:38:16,026] - INFO: Epoch 1532/9999, Iter 153160: Loss = 0.00953854713588953, lr = [5e-05] +[2024-05-25 15:38:44,800] - INFO: Epoch 1533/9999, Iter 153200: Loss = 0.01990552246570587, lr = [5e-05] +[2024-05-25 15:39:12,132] - INFO: Epoch 1533/9999, Iter 153240: Loss = 0.014678334817290306, lr = [5e-05] +[2024-05-25 15:39:39,355] - INFO: Epoch 1533/9999, Iter 153280: Loss = 0.005695419851690531, lr = [5e-05] +[2024-05-25 15:40:07,969] - INFO: Epoch 1534/9999, Iter 153320: Loss = 0.010703997686505318, lr = [5e-05] +[2024-05-25 15:40:35,170] - INFO: Epoch 1534/9999, Iter 153360: Loss = 0.01175372302532196, lr = [5e-05] +[2024-05-25 15:41:03,525] - INFO: Epoch 1535/9999, Iter 153400: Loss = 0.011481408029794693, lr = [5e-05] +[2024-05-25 15:41:30,832] - INFO: Epoch 1535/9999, Iter 153440: Loss = 0.02399267628788948, lr = [5e-05] +[2024-05-25 15:41:57,984] - INFO: Epoch 1535/9999, Iter 153480: Loss = 0.007588360458612442, lr = [5e-05] +[2024-05-25 15:42:11,387] - INFO: Evaluate at epoch 1535! +[2024-05-25 15:42:21,160] - INFO: Eval PSNR (max): 38.073 (1520) SSIM (max): 0.9611 (1535) +[2024-05-25 15:42:21,161] - INFO: Eval PSNR (current): 38.073 (1535) SSIM (current): 0.9611 (1535) +[2024-05-25 15:42:21,161] - INFO: Evaluation over. +[2024-05-25 15:42:41,592] - INFO: Epoch 1536/9999, Iter 153520: Loss = 0.009451399557292461, lr = [5e-05] +[2024-05-25 15:43:08,784] - INFO: Epoch 1536/9999, Iter 153560: Loss = 0.009554353542625904, lr = [5e-05] +[2024-05-25 15:43:37,489] - INFO: Epoch 1537/9999, Iter 153600: Loss = 0.008323892019689083, lr = [5e-05] +[2024-05-25 15:44:04,751] - INFO: Epoch 1537/9999, Iter 153640: Loss = 0.010309605859220028, lr = [5e-05] +[2024-05-25 15:44:31,966] - INFO: Epoch 1537/9999, Iter 153680: Loss = 0.021620431914925575, lr = [5e-05] +[2024-05-25 15:45:00,571] - INFO: Epoch 1538/9999, Iter 153720: Loss = 0.01337407249957323, lr = [5e-05] +[2024-05-25 15:45:27,789] - INFO: Epoch 1538/9999, Iter 153760: Loss = 0.008545514196157455, lr = [5e-05] +[2024-05-25 15:45:56,404] - INFO: Epoch 1539/9999, Iter 153800: Loss = 0.009217692539095879, lr = [5e-05] +[2024-05-25 15:46:23,736] - INFO: Epoch 1539/9999, Iter 153840: Loss = 0.007398238871246576, lr = [5e-05] +[2024-05-25 15:46:50,975] - INFO: Epoch 1539/9999, Iter 153880: Loss = 0.011614354327321053, lr = [5e-05] +[2024-05-25 15:47:19,563] - INFO: Epoch 1540/9999, Iter 153920: Loss = 0.012514940463006496, lr = [5e-05] +[2024-05-25 15:47:46,715] - INFO: Epoch 1540/9999, Iter 153960: Loss = 0.014561441726982594, lr = [5e-05] +[2024-05-25 15:48:13,608] - INFO: Evaluate at epoch 1540! +[2024-05-25 15:48:18,480] - INFO: Eval PSNR (max): 38.073 (1520) SSIM (max): 0.9611 (1535) +[2024-05-25 15:48:18,480] - INFO: Eval PSNR (current): 38.066 (1540) SSIM (current): 0.9611 (1540) +[2024-05-25 15:48:18,480] - INFO: Evaluation over. +[2024-05-25 15:48:26,017] - INFO: Epoch 1541/9999, Iter 154000: Loss = 0.009147846139967442, lr = [5e-05] +[2024-05-25 15:48:53,379] - INFO: Epoch 1541/9999, Iter 154040: Loss = 0.011226581409573555, lr = [5e-05] +[2024-05-25 15:49:20,553] - INFO: Epoch 1541/9999, Iter 154080: Loss = 0.015438955277204514, lr = [5e-05] +[2024-05-25 15:49:49,308] - INFO: Epoch 1542/9999, Iter 154120: Loss = 0.010437623597681522, lr = [5e-05] +[2024-05-25 15:50:16,639] - INFO: Epoch 1542/9999, Iter 154160: Loss = 0.015002116560935974, lr = [5e-05] +[2024-05-25 15:50:45,341] - INFO: Epoch 1543/9999, Iter 154200: Loss = 0.009824775159358978, lr = [5e-05] +[2024-05-25 15:51:12,623] - INFO: Epoch 1543/9999, Iter 154240: Loss = 0.010476868599653244, lr = [5e-05] +[2024-05-25 15:51:39,800] - INFO: Epoch 1543/9999, Iter 154280: Loss = 0.015289686620235443, lr = [5e-05] +[2024-05-25 15:52:08,550] - INFO: Epoch 1544/9999, Iter 154320: Loss = 0.020327581092715263, lr = [5e-05] +[2024-05-25 15:52:35,673] - INFO: Epoch 1544/9999, Iter 154360: Loss = 0.011433495208621025, lr = [5e-05] +[2024-05-25 15:53:04,325] - INFO: Epoch 1545/9999, Iter 154400: Loss = 0.025145331397652626, lr = [5e-05] +[2024-05-25 15:53:31,684] - INFO: Epoch 1545/9999, Iter 154440: Loss = 0.013597573153674603, lr = [5e-05] +[2024-05-25 15:53:58,955] - INFO: Epoch 1545/9999, Iter 154480: Loss = 0.009936332702636719, lr = [5e-05] +[2024-05-25 15:54:12,304] - INFO: Evaluate at epoch 1545! +[2024-05-25 15:54:22,163] - INFO: Eval PSNR (max): 38.109 (1545) SSIM (max): 0.9611 (1535) +[2024-05-25 15:54:22,163] - INFO: Eval PSNR (current): 38.109 (1545) SSIM (current): 0.9611 (1545) +[2024-05-25 15:54:22,164] - INFO: Evaluation over. +[2024-05-25 15:54:42,839] - INFO: Epoch 1546/9999, Iter 154520: Loss = 0.010790175758302212, lr = [5e-05] +[2024-05-25 15:55:10,017] - INFO: Epoch 1546/9999, Iter 154560: Loss = 0.015543800778687, lr = [5e-05] +[2024-05-25 15:55:38,730] - INFO: Epoch 1547/9999, Iter 154600: Loss = 0.015962103381752968, lr = [5e-05] +[2024-05-25 15:56:05,940] - INFO: Epoch 1547/9999, Iter 154640: Loss = 0.008673019707202911, lr = [5e-05] +[2024-05-25 15:56:33,124] - INFO: Epoch 1547/9999, Iter 154680: Loss = 0.011401609517633915, lr = [5e-05] +[2024-05-25 15:57:01,627] - INFO: Epoch 1548/9999, Iter 154720: Loss = 0.008737028576433659, lr = [5e-05] +[2024-05-25 15:57:28,842] - INFO: Epoch 1548/9999, Iter 154760: Loss = 0.015411540865898132, lr = [5e-05] +[2024-05-25 15:57:57,501] - INFO: Epoch 1549/9999, Iter 154800: Loss = 0.014953864738345146, lr = [5e-05] +[2024-05-25 15:58:24,942] - INFO: Epoch 1549/9999, Iter 154840: Loss = 0.01668025180697441, lr = [5e-05] +[2024-05-25 15:58:52,175] - INFO: Epoch 1549/9999, Iter 154880: Loss = 0.012983085587620735, lr = [5e-05] +[2024-05-25 15:59:21,019] - INFO: Epoch 1550/9999, Iter 154920: Loss = 0.009964920580387115, lr = [5e-05] +[2024-05-25 15:59:48,206] - INFO: Epoch 1550/9999, Iter 154960: Loss = 0.013316333293914795, lr = [5e-05] +[2024-05-25 16:00:15,084] - INFO: Evaluate at epoch 1550! +[2024-05-25 16:00:25,480] - INFO: Eval PSNR (max): 38.109 (1545) SSIM (max): 0.9612 (1550) +[2024-05-25 16:00:25,481] - INFO: Eval PSNR (current): 38.097 (1550) SSIM (current): 0.9612 (1550) +[2024-05-25 16:00:25,481] - INFO: Evaluation over. +[2024-05-25 16:00:32,368] - INFO: Epoch 1551/9999, Iter 155000: Loss = 0.009367117658257484, lr = [5e-05] +[2024-05-25 16:00:59,646] - INFO: Epoch 1551/9999, Iter 155040: Loss = 0.011977280490100384, lr = [5e-05] +[2024-05-25 16:01:26,875] - INFO: Epoch 1551/9999, Iter 155080: Loss = 0.00857968907803297, lr = [5e-05] +[2024-05-25 16:01:55,616] - INFO: Epoch 1552/9999, Iter 155120: Loss = 0.02113601379096508, lr = [5e-05] +[2024-05-25 16:02:22,788] - INFO: Epoch 1552/9999, Iter 155160: Loss = 0.011427903547883034, lr = [5e-05] +[2024-05-25 16:02:51,529] - INFO: Epoch 1553/9999, Iter 155200: Loss = 0.00709256436675787, lr = [5e-05] +[2024-05-25 16:03:18,897] - INFO: Epoch 1553/9999, Iter 155240: Loss = 0.012258047237992287, lr = [5e-05] +[2024-05-25 16:03:46,127] - INFO: Epoch 1553/9999, Iter 155280: Loss = 0.012084359303116798, lr = [5e-05] +[2024-05-25 16:04:14,561] - INFO: Epoch 1554/9999, Iter 155320: Loss = 0.01709405519068241, lr = [5e-05] +[2024-05-25 16:04:41,735] - INFO: Epoch 1554/9999, Iter 155360: Loss = 0.012102385051548481, lr = [5e-05] +[2024-05-25 16:05:10,332] - INFO: Epoch 1555/9999, Iter 155400: Loss = 0.009011722169816494, lr = [5e-05] +[2024-05-25 16:05:37,594] - INFO: Epoch 1555/9999, Iter 155440: Loss = 0.005967766046524048, lr = [5e-05] +[2024-05-25 16:06:04,819] - INFO: Epoch 1555/9999, Iter 155480: Loss = 0.013016138225793839, lr = [5e-05] +[2024-05-25 16:06:18,093] - INFO: Evaluate at epoch 1555! +[2024-05-25 16:06:22,899] - INFO: Eval PSNR (max): 38.109 (1545) SSIM (max): 0.9612 (1550) +[2024-05-25 16:06:22,900] - INFO: Eval PSNR (current): 38.045 (1555) SSIM (current): 0.9611 (1555) +[2024-05-25 16:06:22,900] - INFO: Evaluation over. +[2024-05-25 16:06:43,563] - INFO: Epoch 1556/9999, Iter 155520: Loss = 0.01495387963950634, lr = [5e-05] +[2024-05-25 16:07:10,790] - INFO: Epoch 1556/9999, Iter 155560: Loss = 0.017496444284915924, lr = [5e-05] +[2024-05-25 16:07:39,384] - INFO: Epoch 1557/9999, Iter 155600: Loss = 0.01021907664835453, lr = [5e-05] +[2024-05-25 16:08:06,731] - INFO: Epoch 1557/9999, Iter 155640: Loss = 0.00944214966148138, lr = [5e-05] +[2024-05-25 16:08:33,889] - INFO: Epoch 1557/9999, Iter 155680: Loss = 0.006118187215179205, lr = [5e-05] +[2024-05-25 16:09:02,499] - INFO: Epoch 1558/9999, Iter 155720: Loss = 0.010389125905930996, lr = [5e-05] +[2024-05-25 16:09:29,743] - INFO: Epoch 1558/9999, Iter 155760: Loss = 0.016700023785233498, lr = [5e-05] +[2024-05-25 16:09:58,155] - INFO: Epoch 1559/9999, Iter 155800: Loss = 0.019976550713181496, lr = [5e-05] +[2024-05-25 16:10:25,360] - INFO: Epoch 1559/9999, Iter 155840: Loss = 0.009852631948888302, lr = [5e-05] +[2024-05-25 16:10:52,562] - INFO: Epoch 1559/9999, Iter 155880: Loss = 0.008106876164674759, lr = [5e-05] +[2024-05-25 16:11:21,380] - INFO: Epoch 1560/9999, Iter 155920: Loss = 0.013918212614953518, lr = [5e-05] +[2024-05-25 16:11:48,595] - INFO: Epoch 1560/9999, Iter 155960: Loss = 0.0075681679882109165, lr = [5e-05] +[2024-05-25 16:12:15,619] - INFO: Evaluate at epoch 1560! +[2024-05-25 16:12:20,421] - INFO: Eval PSNR (max): 38.109 (1545) SSIM (max): 0.9612 (1550) +[2024-05-25 16:12:20,422] - INFO: Eval PSNR (current): 38.065 (1560) SSIM (current): 0.9610 (1560) +[2024-05-25 16:12:20,422] - INFO: Evaluation over. +[2024-05-25 16:12:27,636] - INFO: Epoch 1561/9999, Iter 156000: Loss = 0.011905756779015064, lr = [5e-05] +[2024-05-25 16:12:54,824] - INFO: Epoch 1561/9999, Iter 156040: Loss = 0.010755603201687336, lr = [5e-05] +[2024-05-25 16:13:22,015] - INFO: Epoch 1561/9999, Iter 156080: Loss = 0.012167088687419891, lr = [5e-05] +[2024-05-25 16:13:50,818] - INFO: Epoch 1562/9999, Iter 156120: Loss = 0.015397629700601101, lr = [5e-05] +[2024-05-25 16:14:18,006] - INFO: Epoch 1562/9999, Iter 156160: Loss = 0.009062050841748714, lr = [5e-05] +[2024-05-25 16:14:46,521] - INFO: Epoch 1563/9999, Iter 156200: Loss = 0.012079419568181038, lr = [5e-05] +[2024-05-25 16:15:13,915] - INFO: Epoch 1563/9999, Iter 156240: Loss = 0.015283230692148209, lr = [5e-05] +[2024-05-25 16:15:41,066] - INFO: Epoch 1563/9999, Iter 156280: Loss = 0.005690385587513447, lr = [5e-05] +[2024-05-25 16:16:09,684] - INFO: Epoch 1564/9999, Iter 156320: Loss = 0.00968571100383997, lr = [5e-05] +[2024-05-25 16:16:36,867] - INFO: Epoch 1564/9999, Iter 156360: Loss = 0.019409192726016045, lr = [5e-05] +[2024-05-25 16:17:05,412] - INFO: Epoch 1565/9999, Iter 156400: Loss = 0.014945568516850471, lr = [5e-05] +[2024-05-25 16:17:32,749] - INFO: Epoch 1565/9999, Iter 156440: Loss = 0.011929724365472794, lr = [5e-05] +[2024-05-25 16:17:59,935] - INFO: Epoch 1565/9999, Iter 156480: Loss = 0.01693870685994625, lr = [5e-05] +[2024-05-25 16:18:13,253] - INFO: Evaluate at epoch 1565! +[2024-05-25 16:18:17,986] - INFO: Eval PSNR (max): 38.109 (1545) SSIM (max): 0.9612 (1550) +[2024-05-25 16:18:17,986] - INFO: Eval PSNR (current): 38.055 (1565) SSIM (current): 0.9610 (1565) +[2024-05-25 16:18:17,986] - INFO: Evaluation over. +[2024-05-25 16:18:38,844] - INFO: Epoch 1566/9999, Iter 156520: Loss = 0.011605320498347282, lr = [5e-05] +[2024-05-25 16:19:05,992] - INFO: Epoch 1566/9999, Iter 156560: Loss = 0.014457831159234047, lr = [5e-05] +[2024-05-25 16:19:34,569] - INFO: Epoch 1567/9999, Iter 156600: Loss = 0.012950298376381397, lr = [5e-05] +[2024-05-25 16:20:01,842] - INFO: Epoch 1567/9999, Iter 156640: Loss = 0.009909464977681637, lr = [5e-05] +[2024-05-25 16:20:29,083] - INFO: Epoch 1567/9999, Iter 156680: Loss = 0.015679536387324333, lr = [5e-05] +[2024-05-25 16:20:57,829] - INFO: Epoch 1568/9999, Iter 156720: Loss = 0.012579874135553837, lr = [5e-05] +[2024-05-25 16:21:25,054] - INFO: Epoch 1568/9999, Iter 156760: Loss = 0.010429594665765762, lr = [5e-05] +[2024-05-25 16:21:53,411] - INFO: Epoch 1569/9999, Iter 156800: Loss = 0.023786552250385284, lr = [5e-05] +[2024-05-25 16:22:20,789] - INFO: Epoch 1569/9999, Iter 156840: Loss = 0.019413020461797714, lr = [5e-05] +[2024-05-25 16:22:47,929] - INFO: Epoch 1569/9999, Iter 156880: Loss = 0.017138613387942314, lr = [5e-05] +[2024-05-25 16:23:16,706] - INFO: Epoch 1570/9999, Iter 156920: Loss = 0.012342404574155807, lr = [5e-05] +[2024-05-25 16:23:43,915] - INFO: Epoch 1570/9999, Iter 156960: Loss = 0.010681710205972195, lr = [5e-05] +[2024-05-25 16:24:10,808] - INFO: Evaluate at epoch 1570! +[2024-05-25 16:24:15,452] - INFO: Eval PSNR (max): 38.109 (1545) SSIM (max): 0.9612 (1550) +[2024-05-25 16:24:15,453] - INFO: Eval PSNR (current): 38.051 (1570) SSIM (current): 0.9610 (1570) +[2024-05-25 16:24:15,453] - INFO: Evaluation over. +[2024-05-25 16:24:22,177] - INFO: Epoch 1571/9999, Iter 157000: Loss = 0.009924612939357758, lr = [5e-05] +[2024-05-25 16:24:49,468] - INFO: Epoch 1571/9999, Iter 157040: Loss = 0.022080885246396065, lr = [5e-05] +[2024-05-25 16:25:16,619] - INFO: Epoch 1571/9999, Iter 157080: Loss = 0.009013084694743156, lr = [5e-05] +[2024-05-25 16:25:45,298] - INFO: Epoch 1572/9999, Iter 157120: Loss = 0.011073141358792782, lr = [5e-05] +[2024-05-25 16:26:12,456] - INFO: Epoch 1572/9999, Iter 157160: Loss = 0.014510628767311573, lr = [5e-05] +[2024-05-25 16:26:41,153] - INFO: Epoch 1573/9999, Iter 157200: Loss = 0.006449120584875345, lr = [5e-05] +[2024-05-25 16:27:08,509] - INFO: Epoch 1573/9999, Iter 157240: Loss = 0.012070409022271633, lr = [5e-05] +[2024-05-25 16:27:35,741] - INFO: Epoch 1573/9999, Iter 157280: Loss = 0.013666738756000996, lr = [5e-05] +[2024-05-25 16:28:04,376] - INFO: Epoch 1574/9999, Iter 157320: Loss = 0.01966245099902153, lr = [5e-05] +[2024-05-25 16:28:31,674] - INFO: Epoch 1574/9999, Iter 157360: Loss = 0.011045588180422783, lr = [5e-05] +[2024-05-25 16:29:00,349] - INFO: Epoch 1575/9999, Iter 157400: Loss = 0.014672365970909595, lr = [5e-05] +[2024-05-25 16:29:27,628] - INFO: Epoch 1575/9999, Iter 157440: Loss = 0.015881050378084183, lr = [5e-05] +[2024-05-25 16:29:54,790] - INFO: Epoch 1575/9999, Iter 157480: Loss = 0.012961638160049915, lr = [5e-05] +[2024-05-25 16:30:08,114] - INFO: Evaluate at epoch 1575! +[2024-05-25 16:30:12,760] - INFO: Eval PSNR (max): 38.109 (1545) SSIM (max): 0.9612 (1550) +[2024-05-25 16:30:12,760] - INFO: Eval PSNR (current): 38.057 (1575) SSIM (current): 0.9610 (1575) +[2024-05-25 16:30:12,760] - INFO: Evaluation over. +[2024-05-25 16:30:33,316] - INFO: Epoch 1576/9999, Iter 157520: Loss = 0.0078957574442029, lr = [5e-05] +[2024-05-25 16:31:00,501] - INFO: Epoch 1576/9999, Iter 157560: Loss = 0.022204753011465073, lr = [5e-05] +[2024-05-25 16:31:28,962] - INFO: Epoch 1577/9999, Iter 157600: Loss = 0.012986414134502411, lr = [5e-05] +[2024-05-25 16:31:56,274] - INFO: Epoch 1577/9999, Iter 157640: Loss = 0.011038394644856453, lr = [5e-05] +[2024-05-25 16:32:23,545] - INFO: Epoch 1577/9999, Iter 157680: Loss = 0.01195590291172266, lr = [5e-05] +[2024-05-25 16:32:52,363] - INFO: Epoch 1578/9999, Iter 157720: Loss = 0.02083439752459526, lr = [5e-05] +[2024-05-25 16:33:19,580] - INFO: Epoch 1578/9999, Iter 157760: Loss = 0.015705300495028496, lr = [5e-05] +[2024-05-25 16:33:48,133] - INFO: Epoch 1579/9999, Iter 157800: Loss = 0.009045220911502838, lr = [5e-05] +[2024-05-25 16:34:15,462] - INFO: Epoch 1579/9999, Iter 157840: Loss = 0.02254815772175789, lr = [5e-05] +[2024-05-25 16:34:42,669] - INFO: Epoch 1579/9999, Iter 157880: Loss = 0.014165368862450123, lr = [5e-05] +[2024-05-25 16:35:11,467] - INFO: Epoch 1580/9999, Iter 157920: Loss = 0.013030319474637508, lr = [5e-05] +[2024-05-25 16:35:38,711] - INFO: Epoch 1580/9999, Iter 157960: Loss = 0.008090825751423836, lr = [5e-05] +[2024-05-25 16:36:05,572] - INFO: Evaluate at epoch 1580! +[2024-05-25 16:36:15,674] - INFO: Eval PSNR (max): 38.109 (1545) SSIM (max): 0.9612 (1580) +[2024-05-25 16:36:15,675] - INFO: Eval PSNR (current): 38.103 (1580) SSIM (current): 0.9612 (1580) +[2024-05-25 16:36:15,675] - INFO: Evaluation over. +[2024-05-25 16:36:22,320] - INFO: Epoch 1581/9999, Iter 158000: Loss = 0.021101318299770355, lr = [5e-05] +[2024-05-25 16:36:49,608] - INFO: Epoch 1581/9999, Iter 158040: Loss = 0.0111539913341403, lr = [5e-05] +[2024-05-25 16:37:16,830] - INFO: Epoch 1581/9999, Iter 158080: Loss = 0.014077247120440006, lr = [5e-05] +[2024-05-25 16:37:45,360] - INFO: Epoch 1582/9999, Iter 158120: Loss = 0.011482874862849712, lr = [5e-05] +[2024-05-25 16:38:12,567] - INFO: Epoch 1582/9999, Iter 158160: Loss = 0.009530863724648952, lr = [5e-05] +[2024-05-25 16:38:41,098] - INFO: Epoch 1583/9999, Iter 158200: Loss = 0.02480580285191536, lr = [5e-05] +[2024-05-25 16:39:08,368] - INFO: Epoch 1583/9999, Iter 158240: Loss = 0.023653544485569, lr = [5e-05] +[2024-05-25 16:39:35,574] - INFO: Epoch 1583/9999, Iter 158280: Loss = 0.017516663298010826, lr = [5e-05] +[2024-05-25 16:40:04,340] - INFO: Epoch 1584/9999, Iter 158320: Loss = 0.013607780449092388, lr = [5e-05] +[2024-05-25 16:40:31,536] - INFO: Epoch 1584/9999, Iter 158360: Loss = 0.010491565801203251, lr = [5e-05] +[2024-05-25 16:40:59,937] - INFO: Epoch 1585/9999, Iter 158400: Loss = 0.014314452186226845, lr = [5e-05] +[2024-05-25 16:41:27,126] - INFO: Epoch 1585/9999, Iter 158440: Loss = 0.016740117222070694, lr = [5e-05] +[2024-05-25 16:41:54,330] - INFO: Epoch 1585/9999, Iter 158480: Loss = 0.017971953377127647, lr = [5e-05] +[2024-05-25 16:42:07,601] - INFO: Evaluate at epoch 1585! +[2024-05-25 16:42:12,230] - INFO: Eval PSNR (max): 38.109 (1545) SSIM (max): 0.9612 (1580) +[2024-05-25 16:42:12,230] - INFO: Eval PSNR (current): 38.066 (1585) SSIM (current): 0.9612 (1585) +[2024-05-25 16:42:12,230] - INFO: Evaluation over. +[2024-05-25 16:42:32,495] - INFO: Epoch 1586/9999, Iter 158520: Loss = 0.008755595423281193, lr = [5e-05] +[2024-05-25 16:42:59,701] - INFO: Epoch 1586/9999, Iter 158560: Loss = 0.015094798058271408, lr = [5e-05] +[2024-05-25 16:43:28,328] - INFO: Epoch 1587/9999, Iter 158600: Loss = 0.015671130269765854, lr = [5e-05] +[2024-05-25 16:43:55,602] - INFO: Epoch 1587/9999, Iter 158640: Loss = 0.012872647494077682, lr = [5e-05] +[2024-05-25 16:44:22,796] - INFO: Epoch 1587/9999, Iter 158680: Loss = 0.009732461534440517, lr = [5e-05] +[2024-05-25 16:44:51,388] - INFO: Epoch 1588/9999, Iter 158720: Loss = 0.014514640904963017, lr = [5e-05] +[2024-05-25 16:45:18,594] - INFO: Epoch 1588/9999, Iter 158760: Loss = 0.02088692970573902, lr = [5e-05] +[2024-05-25 16:45:47,134] - INFO: Epoch 1589/9999, Iter 158800: Loss = 0.01569424942135811, lr = [5e-05] +[2024-05-25 16:46:14,458] - INFO: Epoch 1589/9999, Iter 158840: Loss = 0.01828148029744625, lr = [5e-05] +[2024-05-25 16:46:41,638] - INFO: Epoch 1589/9999, Iter 158880: Loss = 0.006017821840941906, lr = [5e-05] +[2024-05-25 16:47:10,463] - INFO: Epoch 1590/9999, Iter 158920: Loss = 0.013172750361263752, lr = [5e-05] +[2024-05-25 16:47:37,639] - INFO: Epoch 1590/9999, Iter 158960: Loss = 0.014754284173250198, lr = [5e-05] +[2024-05-25 16:48:04,575] - INFO: Evaluate at epoch 1590! +[2024-05-25 16:48:09,241] - INFO: Eval PSNR (max): 38.109 (1545) SSIM (max): 0.9612 (1580) +[2024-05-25 16:48:09,241] - INFO: Eval PSNR (current): 38.073 (1590) SSIM (current): 0.9611 (1590) +[2024-05-25 16:48:09,241] - INFO: Evaluation over. +[2024-05-25 16:48:15,900] - INFO: Epoch 1591/9999, Iter 159000: Loss = 0.013510475866496563, lr = [5e-05] +[2024-05-25 16:48:43,203] - INFO: Epoch 1591/9999, Iter 159040: Loss = 0.010746101848781109, lr = [5e-05] +[2024-05-25 16:49:10,430] - INFO: Epoch 1591/9999, Iter 159080: Loss = 0.011712909676134586, lr = [5e-05] +[2024-05-25 16:49:38,963] - INFO: Epoch 1592/9999, Iter 159120: Loss = 0.013251404277980328, lr = [5e-05] +[2024-05-25 16:50:06,179] - INFO: Epoch 1592/9999, Iter 159160: Loss = 0.01080302707850933, lr = [5e-05] +[2024-05-25 16:50:34,621] - INFO: Epoch 1593/9999, Iter 159200: Loss = 0.008744783699512482, lr = [5e-05] +[2024-05-25 16:51:01,890] - INFO: Epoch 1593/9999, Iter 159240: Loss = 0.006152710411697626, lr = [5e-05] +[2024-05-25 16:51:29,154] - INFO: Epoch 1593/9999, Iter 159280: Loss = 0.009982303716242313, lr = [5e-05] +[2024-05-25 16:51:57,915] - INFO: Epoch 1594/9999, Iter 159320: Loss = 0.00907259713858366, lr = [5e-05] +[2024-05-25 16:52:25,116] - INFO: Epoch 1594/9999, Iter 159360: Loss = 0.012881017290055752, lr = [5e-05] +[2024-05-25 16:52:53,658] - INFO: Epoch 1595/9999, Iter 159400: Loss = 0.016458436846733093, lr = [5e-05] +[2024-05-25 16:53:20,958] - INFO: Epoch 1595/9999, Iter 159440: Loss = 0.012937754392623901, lr = [5e-05] +[2024-05-25 16:53:48,155] - INFO: Epoch 1595/9999, Iter 159480: Loss = 0.0151680838316679, lr = [5e-05] +[2024-05-25 16:54:01,447] - INFO: Evaluate at epoch 1595! +[2024-05-25 16:54:06,170] - INFO: Eval PSNR (max): 38.109 (1545) SSIM (max): 0.9612 (1580) +[2024-05-25 16:54:06,170] - INFO: Eval PSNR (current): 38.037 (1595) SSIM (current): 0.9610 (1595) +[2024-05-25 16:54:06,170] - INFO: Evaluation over. +[2024-05-25 16:54:26,590] - INFO: Epoch 1596/9999, Iter 159520: Loss = 0.00829368270933628, lr = [5e-05] +[2024-05-25 16:54:53,805] - INFO: Epoch 1596/9999, Iter 159560: Loss = 0.01534381415694952, lr = [5e-05] +[2024-05-25 16:55:22,447] - INFO: Epoch 1597/9999, Iter 159600: Loss = 0.0169373732060194, lr = [5e-05] +[2024-05-25 16:55:49,835] - INFO: Epoch 1597/9999, Iter 159640: Loss = 0.006360297556966543, lr = [5e-05] +[2024-05-25 16:56:17,035] - INFO: Epoch 1597/9999, Iter 159680: Loss = 0.016838526353240013, lr = [5e-05] +[2024-05-25 16:56:45,615] - INFO: Epoch 1598/9999, Iter 159720: Loss = 0.007111969869583845, lr = [5e-05] +[2024-05-25 16:57:12,837] - INFO: Epoch 1598/9999, Iter 159760: Loss = 0.011943967081606388, lr = [5e-05] +[2024-05-25 16:57:41,331] - INFO: Epoch 1599/9999, Iter 159800: Loss = 0.030001875013113022, lr = [5e-05] +[2024-05-25 16:58:08,699] - INFO: Epoch 1599/9999, Iter 159840: Loss = 0.016570407897233963, lr = [5e-05] +[2024-05-25 16:58:35,903] - INFO: Epoch 1599/9999, Iter 159880: Loss = 0.013401597738265991, lr = [5e-05] +[2024-05-25 16:59:04,506] - INFO: Epoch 1600/9999, Iter 159920: Loss = 0.017556821927428246, lr = [5e-05] +[2024-05-25 16:59:31,683] - INFO: Epoch 1600/9999, Iter 159960: Loss = 0.011958502233028412, lr = [5e-05] +[2024-05-25 16:59:58,544] - INFO: Evaluate at epoch 1600! +[2024-05-25 17:00:03,197] - INFO: Eval PSNR (max): 38.109 (1545) SSIM (max): 0.9612 (1580) +[2024-05-25 17:00:03,198] - INFO: Eval PSNR (current): 38.049 (1600) SSIM (current): 0.9611 (1600) +[2024-05-25 17:00:03,198] - INFO: Evaluation over. +[2024-05-25 17:00:09,808] - INFO: Epoch 1601/9999, Iter 160000: Loss = 0.013461670838296413, lr = [5e-05] +[2024-05-25 17:00:37,087] - INFO: Epoch 1601/9999, Iter 160040: Loss = 0.011130486615002155, lr = [5e-05] +[2024-05-25 17:01:04,332] - INFO: Epoch 1601/9999, Iter 160080: Loss = 0.018373100087046623, lr = [5e-05] +[2024-05-25 17:01:33,061] - INFO: Epoch 1602/9999, Iter 160120: Loss = 0.004917263984680176, lr = [5e-05] +[2024-05-25 17:02:00,265] - INFO: Epoch 1602/9999, Iter 160160: Loss = 0.01124840509146452, lr = [5e-05] +[2024-05-25 17:02:28,771] - INFO: Epoch 1603/9999, Iter 160200: Loss = 0.015528522431850433, lr = [5e-05] +[2024-05-25 17:02:56,095] - INFO: Epoch 1603/9999, Iter 160240: Loss = 0.004285150673240423, lr = [5e-05] +[2024-05-25 17:03:23,290] - INFO: Epoch 1603/9999, Iter 160280: Loss = 0.00558044295758009, lr = [5e-05] +[2024-05-25 17:03:52,072] - INFO: Epoch 1604/9999, Iter 160320: Loss = 0.01454542949795723, lr = [5e-05] +[2024-05-25 17:04:19,290] - INFO: Epoch 1604/9999, Iter 160360: Loss = 0.019545165821909904, lr = [5e-05] +[2024-05-25 17:04:47,605] - INFO: Epoch 1605/9999, Iter 160400: Loss = 0.013250523246824741, lr = [5e-05] +[2024-05-25 17:05:14,955] - INFO: Epoch 1605/9999, Iter 160440: Loss = 0.00567724509164691, lr = [5e-05] +[2024-05-25 17:05:42,253] - INFO: Epoch 1605/9999, Iter 160480: Loss = 0.013376076705753803, lr = [5e-05] +[2024-05-25 17:05:55,591] - INFO: Evaluate at epoch 1605! +[2024-05-25 17:06:00,230] - INFO: Eval PSNR (max): 38.109 (1545) SSIM (max): 0.9612 (1580) +[2024-05-25 17:06:00,230] - INFO: Eval PSNR (current): 38.060 (1605) SSIM (current): 0.9611 (1605) +[2024-05-25 17:06:00,230] - INFO: Evaluation over. +[2024-05-25 17:06:20,575] - INFO: Epoch 1606/9999, Iter 160520: Loss = 0.012702906504273415, lr = [5e-05] +[2024-05-25 17:06:47,788] - INFO: Epoch 1606/9999, Iter 160560: Loss = 0.010260820388793945, lr = [5e-05] +[2024-05-25 17:07:16,513] - INFO: Epoch 1607/9999, Iter 160600: Loss = 0.01892366074025631, lr = [5e-05] +[2024-05-25 17:07:43,807] - INFO: Epoch 1607/9999, Iter 160640: Loss = 0.020402399823069572, lr = [5e-05] +[2024-05-25 17:08:11,039] - INFO: Epoch 1607/9999, Iter 160680: Loss = 0.014145566150546074, lr = [5e-05] +[2024-05-25 17:08:39,673] - INFO: Epoch 1608/9999, Iter 160720: Loss = 0.012173044495284557, lr = [5e-05] +[2024-05-25 17:09:06,868] - INFO: Epoch 1608/9999, Iter 160760: Loss = 0.013513823039829731, lr = [5e-05] +[2024-05-25 17:09:35,406] - INFO: Epoch 1609/9999, Iter 160800: Loss = 0.00861144158989191, lr = [5e-05] +[2024-05-25 17:10:02,734] - INFO: Epoch 1609/9999, Iter 160840: Loss = 0.012807468883693218, lr = [5e-05] +[2024-05-25 17:10:29,940] - INFO: Epoch 1609/9999, Iter 160880: Loss = 0.011833892203867435, lr = [5e-05] +[2024-05-25 17:10:58,608] - INFO: Epoch 1610/9999, Iter 160920: Loss = 0.014710276387631893, lr = [5e-05] +[2024-05-25 17:11:25,777] - INFO: Epoch 1610/9999, Iter 160960: Loss = 0.013996635563671589, lr = [5e-05] +[2024-05-25 17:11:52,676] - INFO: Evaluate at epoch 1610! +[2024-05-25 17:11:57,335] - INFO: Eval PSNR (max): 38.109 (1545) SSIM (max): 0.9612 (1580) +[2024-05-25 17:11:57,335] - INFO: Eval PSNR (current): 38.093 (1610) SSIM (current): 0.9611 (1610) +[2024-05-25 17:11:57,335] - INFO: Evaluation over. +[2024-05-25 17:12:03,874] - INFO: Epoch 1611/9999, Iter 161000: Loss = 0.010590762831270695, lr = [5e-05] +[2024-05-25 17:12:31,118] - INFO: Epoch 1611/9999, Iter 161040: Loss = 0.00905891414731741, lr = [5e-05] +[2024-05-25 17:12:58,409] - INFO: Epoch 1611/9999, Iter 161080: Loss = 0.01766170933842659, lr = [5e-05] +[2024-05-25 17:13:26,991] - INFO: Epoch 1612/9999, Iter 161120: Loss = 0.012969047762453556, lr = [5e-05] +[2024-05-25 17:13:54,196] - INFO: Epoch 1612/9999, Iter 161160: Loss = 0.014708125963807106, lr = [5e-05] +[2024-05-25 17:14:22,790] - INFO: Epoch 1613/9999, Iter 161200: Loss = 0.021441616117954254, lr = [5e-05] +[2024-05-25 17:14:50,062] - INFO: Epoch 1613/9999, Iter 161240: Loss = 0.011420988477766514, lr = [5e-05] +[2024-05-25 17:15:17,303] - INFO: Epoch 1613/9999, Iter 161280: Loss = 0.019537124782800674, lr = [5e-05] +[2024-05-25 17:15:46,043] - INFO: Epoch 1614/9999, Iter 161320: Loss = 0.013727079145610332, lr = [5e-05] +[2024-05-25 17:16:13,331] - INFO: Epoch 1614/9999, Iter 161360: Loss = 0.012005092576146126, lr = [5e-05] +[2024-05-25 17:16:41,846] - INFO: Epoch 1615/9999, Iter 161400: Loss = 0.00925159640610218, lr = [5e-05] +[2024-05-25 17:17:09,259] - INFO: Epoch 1615/9999, Iter 161440: Loss = 0.010726414620876312, lr = [5e-05] +[2024-05-25 17:17:36,435] - INFO: Epoch 1615/9999, Iter 161480: Loss = 0.012598778121173382, lr = [5e-05] +[2024-05-25 17:17:49,714] - INFO: Evaluate at epoch 1615! +[2024-05-25 17:17:54,314] - INFO: Eval PSNR (max): 38.109 (1545) SSIM (max): 0.9612 (1580) +[2024-05-25 17:17:54,314] - INFO: Eval PSNR (current): 38.099 (1615) SSIM (current): 0.9612 (1615) +[2024-05-25 17:17:54,314] - INFO: Evaluation over. +[2024-05-25 17:18:14,701] - INFO: Epoch 1616/9999, Iter 161520: Loss = 0.012814573012292385, lr = [5e-05] +[2024-05-25 17:18:41,960] - INFO: Epoch 1616/9999, Iter 161560: Loss = 0.018872592598199844, lr = [5e-05] +[2024-05-25 17:19:10,416] - INFO: Epoch 1617/9999, Iter 161600: Loss = 0.009924918413162231, lr = [5e-05] +[2024-05-25 17:19:37,675] - INFO: Epoch 1617/9999, Iter 161640: Loss = 0.015968509018421173, lr = [5e-05] +[2024-05-25 17:20:04,889] - INFO: Epoch 1617/9999, Iter 161680: Loss = 0.009206262417137623, lr = [5e-05] +[2024-05-25 17:20:33,582] - INFO: Epoch 1618/9999, Iter 161720: Loss = 0.009876901283860207, lr = [5e-05] +[2024-05-25 17:21:00,761] - INFO: Epoch 1618/9999, Iter 161760: Loss = 0.008555016480386257, lr = [5e-05] +[2024-05-25 17:21:29,424] - INFO: Epoch 1619/9999, Iter 161800: Loss = 0.016396524384617805, lr = [5e-05] +[2024-05-25 17:21:56,655] - INFO: Epoch 1619/9999, Iter 161840: Loss = 0.015540306456387043, lr = [5e-05] +[2024-05-25 17:22:23,829] - INFO: Epoch 1619/9999, Iter 161880: Loss = 0.008040554821491241, lr = [5e-05] +[2024-05-25 17:22:52,671] - INFO: Epoch 1620/9999, Iter 161920: Loss = 0.017393089830875397, lr = [5e-05] +[2024-05-25 17:23:19,901] - INFO: Epoch 1620/9999, Iter 161960: Loss = 0.018156562000513077, lr = [5e-05] +[2024-05-25 17:23:46,934] - INFO: Evaluate at epoch 1620! +[2024-05-25 17:24:01,885] - INFO: Eval PSNR (max): 38.127 (1620) SSIM (max): 0.9613 (1620) +[2024-05-25 17:24:01,886] - INFO: Eval PSNR (current): 38.127 (1620) SSIM (current): 0.9613 (1620) +[2024-05-25 17:24:01,886] - INFO: Evaluation over. +[2024-05-25 17:24:08,580] - INFO: Epoch 1621/9999, Iter 162000: Loss = 0.011552990414202213, lr = [5e-05] +[2024-05-25 17:24:35,880] - INFO: Epoch 1621/9999, Iter 162040: Loss = 0.021520640701055527, lr = [5e-05] +[2024-05-25 17:25:03,100] - INFO: Epoch 1621/9999, Iter 162080: Loss = 0.01051188725978136, lr = [5e-05] +[2024-05-25 17:25:31,598] - INFO: Epoch 1622/9999, Iter 162120: Loss = 0.012926441617310047, lr = [5e-05] +[2024-05-25 17:25:58,851] - INFO: Epoch 1622/9999, Iter 162160: Loss = 0.013431642204523087, lr = [5e-05] +[2024-05-25 17:26:27,249] - INFO: Epoch 1623/9999, Iter 162200: Loss = 0.016916556283831596, lr = [5e-05] +[2024-05-25 17:26:54,522] - INFO: Epoch 1623/9999, Iter 162240: Loss = 0.015956994146108627, lr = [5e-05] +[2024-05-25 17:27:21,777] - INFO: Epoch 1623/9999, Iter 162280: Loss = 0.01527850329875946, lr = [5e-05] +[2024-05-25 17:27:50,424] - INFO: Epoch 1624/9999, Iter 162320: Loss = 0.01714625395834446, lr = [5e-05] +[2024-05-25 17:28:17,663] - INFO: Epoch 1624/9999, Iter 162360: Loss = 0.01065546739846468, lr = [5e-05] +[2024-05-25 17:28:46,363] - INFO: Epoch 1625/9999, Iter 162400: Loss = 0.022998321801424026, lr = [5e-05] +[2024-05-25 17:29:13,652] - INFO: Epoch 1625/9999, Iter 162440: Loss = 0.005762279964983463, lr = [5e-05] +[2024-05-25 17:29:40,847] - INFO: Epoch 1625/9999, Iter 162480: Loss = 0.017361808568239212, lr = [5e-05] +[2024-05-25 17:29:54,171] - INFO: Evaluate at epoch 1625! +[2024-05-25 17:29:58,700] - INFO: Eval PSNR (max): 38.127 (1620) SSIM (max): 0.9613 (1620) +[2024-05-25 17:29:58,701] - INFO: Eval PSNR (current): 38.110 (1625) SSIM (current): 0.9612 (1625) +[2024-05-25 17:29:58,701] - INFO: Evaluation over. +[2024-05-25 17:30:18,918] - INFO: Epoch 1626/9999, Iter 162520: Loss = 0.010177338495850563, lr = [5e-05] +[2024-05-25 17:30:46,135] - INFO: Epoch 1626/9999, Iter 162560: Loss = 0.010509486310184002, lr = [5e-05] +[2024-05-25 17:31:14,574] - INFO: Epoch 1627/9999, Iter 162600: Loss = 0.017105119302868843, lr = [5e-05] +[2024-05-25 17:31:41,820] - INFO: Epoch 1627/9999, Iter 162640: Loss = 0.01224400196224451, lr = [5e-05] +[2024-05-25 17:32:09,085] - INFO: Epoch 1627/9999, Iter 162680: Loss = 0.011592553928494453, lr = [5e-05] +[2024-05-25 17:32:37,639] - INFO: Epoch 1628/9999, Iter 162720: Loss = 0.008513820357620716, lr = [5e-05] +[2024-05-25 17:33:04,810] - INFO: Epoch 1628/9999, Iter 162760: Loss = 0.017000805586576462, lr = [5e-05] +[2024-05-25 17:33:33,446] - INFO: Epoch 1629/9999, Iter 162800: Loss = 0.014536124654114246, lr = [5e-05] +[2024-05-25 17:34:00,776] - INFO: Epoch 1629/9999, Iter 162840: Loss = 0.011355548165738583, lr = [5e-05] +[2024-05-25 17:34:27,984] - INFO: Epoch 1629/9999, Iter 162880: Loss = 0.012751186266541481, lr = [5e-05] +[2024-05-25 17:34:56,761] - INFO: Epoch 1630/9999, Iter 162920: Loss = 0.012467624619603157, lr = [5e-05] +[2024-05-25 17:35:23,982] - INFO: Epoch 1630/9999, Iter 162960: Loss = 0.012915920466184616, lr = [5e-05] +[2024-05-25 17:35:50,876] - INFO: Evaluate at epoch 1630! +[2024-05-25 17:35:55,574] - INFO: Eval PSNR (max): 38.127 (1620) SSIM (max): 0.9613 (1620) +[2024-05-25 17:35:55,574] - INFO: Eval PSNR (current): 38.068 (1630) SSIM (current): 0.9611 (1630) +[2024-05-25 17:35:55,574] - INFO: Evaluation over. +[2024-05-25 17:36:02,268] - INFO: Epoch 1631/9999, Iter 163000: Loss = 0.010799375362694263, lr = [5e-05] +[2024-05-25 17:36:29,577] - INFO: Epoch 1631/9999, Iter 163040: Loss = 0.01270305272191763, lr = [5e-05] +[2024-05-25 17:36:56,804] - INFO: Epoch 1631/9999, Iter 163080: Loss = 0.01868555322289467, lr = [5e-05] +[2024-05-25 17:37:25,633] - INFO: Epoch 1632/9999, Iter 163120: Loss = 0.014159368351101875, lr = [5e-05] +[2024-05-25 17:37:52,819] - INFO: Epoch 1632/9999, Iter 163160: Loss = 0.01656278781592846, lr = [5e-05] +[2024-05-25 17:38:21,340] - INFO: Epoch 1633/9999, Iter 163200: Loss = 0.008874695748090744, lr = [5e-05] +[2024-05-25 17:38:48,585] - INFO: Epoch 1633/9999, Iter 163240: Loss = 0.012846607714891434, lr = [5e-05] +[2024-05-25 17:39:15,787] - INFO: Epoch 1633/9999, Iter 163280: Loss = 0.01171103585511446, lr = [5e-05] +[2024-05-25 17:39:44,583] - INFO: Epoch 1634/9999, Iter 163320: Loss = 0.01921323873102665, lr = [5e-05] +[2024-05-25 17:40:11,810] - INFO: Epoch 1634/9999, Iter 163360: Loss = 0.016803499311208725, lr = [5e-05] +[2024-05-25 17:40:40,332] - INFO: Epoch 1635/9999, Iter 163400: Loss = 0.009092808701097965, lr = [5e-05] +[2024-05-25 17:41:07,577] - INFO: Epoch 1635/9999, Iter 163440: Loss = 0.020051857456564903, lr = [5e-05] +[2024-05-25 17:41:34,829] - INFO: Epoch 1635/9999, Iter 163480: Loss = 0.020909806713461876, lr = [5e-05] +[2024-05-25 17:41:48,135] - INFO: Evaluate at epoch 1635! +[2024-05-25 17:41:52,788] - INFO: Eval PSNR (max): 38.127 (1620) SSIM (max): 0.9613 (1620) +[2024-05-25 17:41:52,788] - INFO: Eval PSNR (current): 38.105 (1635) SSIM (current): 0.9612 (1635) +[2024-05-25 17:41:52,788] - INFO: Evaluation over. +[2024-05-25 17:42:13,278] - INFO: Epoch 1636/9999, Iter 163520: Loss = 0.007088628131896257, lr = [5e-05] +[2024-05-25 17:42:40,499] - INFO: Epoch 1636/9999, Iter 163560: Loss = 0.013040673919022083, lr = [5e-05] +[2024-05-25 17:43:09,200] - INFO: Epoch 1637/9999, Iter 163600: Loss = 0.022112885490059853, lr = [5e-05] +[2024-05-25 17:43:36,464] - INFO: Epoch 1637/9999, Iter 163640: Loss = 0.011050946079194546, lr = [5e-05] +[2024-05-25 17:44:03,692] - INFO: Epoch 1637/9999, Iter 163680: Loss = 0.012742018327116966, lr = [5e-05] +[2024-05-25 17:44:32,219] - INFO: Epoch 1638/9999, Iter 163720: Loss = 0.013988700695335865, lr = [5e-05] +[2024-05-25 17:44:59,455] - INFO: Epoch 1638/9999, Iter 163760: Loss = 0.010415120981633663, lr = [5e-05] +[2024-05-25 17:45:27,967] - INFO: Epoch 1639/9999, Iter 163800: Loss = 0.012642942368984222, lr = [5e-05] +[2024-05-25 17:45:55,297] - INFO: Epoch 1639/9999, Iter 163840: Loss = 0.011624234728515148, lr = [5e-05] +[2024-05-25 17:46:22,499] - INFO: Epoch 1639/9999, Iter 163880: Loss = 0.025019561871886253, lr = [5e-05] +[2024-05-25 17:46:51,157] - INFO: Epoch 1640/9999, Iter 163920: Loss = 0.013184452429413795, lr = [5e-05] +[2024-05-25 17:47:18,376] - INFO: Epoch 1640/9999, Iter 163960: Loss = 0.005609289277344942, lr = [5e-05] +[2024-05-25 17:47:45,267] - INFO: Evaluate at epoch 1640! +[2024-05-25 17:47:49,997] - INFO: Eval PSNR (max): 38.127 (1620) SSIM (max): 0.9613 (1620) +[2024-05-25 17:47:49,997] - INFO: Eval PSNR (current): 37.960 (1640) SSIM (current): 0.9610 (1640) +[2024-05-25 17:47:49,997] - INFO: Evaluation over. +[2024-05-25 17:47:56,716] - INFO: Epoch 1641/9999, Iter 164000: Loss = 0.014203722588717937, lr = [5e-05] +[2024-05-25 17:48:23,975] - INFO: Epoch 1641/9999, Iter 164040: Loss = 0.00897308997809887, lr = [5e-05] +[2024-05-25 17:48:51,234] - INFO: Epoch 1641/9999, Iter 164080: Loss = 0.009948001243174076, lr = [5e-05] +[2024-05-25 17:49:19,698] - INFO: Epoch 1642/9999, Iter 164120: Loss = 0.014545604586601257, lr = [5e-05] +[2024-05-25 17:49:46,876] - INFO: Epoch 1642/9999, Iter 164160: Loss = 0.00949812401086092, lr = [5e-05] +[2024-05-25 17:50:15,430] - INFO: Epoch 1643/9999, Iter 164200: Loss = 0.017083652317523956, lr = [5e-05] +[2024-05-25 17:50:42,753] - INFO: Epoch 1643/9999, Iter 164240: Loss = 0.013341558165848255, lr = [5e-05] +[2024-05-25 17:51:09,928] - INFO: Epoch 1643/9999, Iter 164280: Loss = 0.011375544592738152, lr = [5e-05] +[2024-05-25 17:51:38,683] - INFO: Epoch 1644/9999, Iter 164320: Loss = 0.009240668267011642, lr = [5e-05] +[2024-05-25 17:52:05,938] - INFO: Epoch 1644/9999, Iter 164360: Loss = 0.015915539115667343, lr = [5e-05] +[2024-05-25 17:52:34,623] - INFO: Epoch 1645/9999, Iter 164400: Loss = 0.017924603074789047, lr = [5e-05] +[2024-05-25 17:53:02,102] - INFO: Epoch 1645/9999, Iter 164440: Loss = 0.008647684939205647, lr = [5e-05] +[2024-05-25 17:53:29,282] - INFO: Epoch 1645/9999, Iter 164480: Loss = 0.010259103029966354, lr = [5e-05] +[2024-05-25 17:53:42,599] - INFO: Evaluate at epoch 1645! +[2024-05-25 17:53:47,324] - INFO: Eval PSNR (max): 38.127 (1620) SSIM (max): 0.9613 (1620) +[2024-05-25 17:53:47,324] - INFO: Eval PSNR (current): 38.074 (1645) SSIM (current): 0.9612 (1645) +[2024-05-25 17:53:47,324] - INFO: Evaluation over. +[2024-05-25 17:54:07,985] - INFO: Epoch 1646/9999, Iter 164520: Loss = 0.011002774350345135, lr = [5e-05] +[2024-05-25 17:54:35,268] - INFO: Epoch 1646/9999, Iter 164560: Loss = 0.011521147564053535, lr = [5e-05] +[2024-05-25 17:55:03,928] - INFO: Epoch 1647/9999, Iter 164600: Loss = 0.022972991690039635, lr = [5e-05] +[2024-05-25 17:55:31,178] - INFO: Epoch 1647/9999, Iter 164640: Loss = 0.02183966152369976, lr = [5e-05] +[2024-05-25 17:55:58,322] - INFO: Epoch 1647/9999, Iter 164680: Loss = 0.012702559120953083, lr = [5e-05] +[2024-05-25 17:56:26,873] - INFO: Epoch 1648/9999, Iter 164720: Loss = 0.010781185701489449, lr = [5e-05] +[2024-05-25 17:56:54,085] - INFO: Epoch 1648/9999, Iter 164760: Loss = 0.013438288122415543, lr = [5e-05] +[2024-05-25 17:57:22,581] - INFO: Epoch 1649/9999, Iter 164800: Loss = 0.015830958262085915, lr = [5e-05] +[2024-05-25 17:57:49,869] - INFO: Epoch 1649/9999, Iter 164840: Loss = 0.010226518847048283, lr = [5e-05] +[2024-05-25 17:58:17,058] - INFO: Epoch 1649/9999, Iter 164880: Loss = 0.010703466832637787, lr = [5e-05] +[2024-05-25 17:58:45,602] - INFO: Epoch 1650/9999, Iter 164920: Loss = 0.012059610337018967, lr = [5e-05] +[2024-05-25 17:59:12,895] - INFO: Epoch 1650/9999, Iter 164960: Loss = 0.011471472680568695, lr = [5e-05] +[2024-05-25 17:59:39,780] - INFO: Evaluate at epoch 1650! +[2024-05-25 17:59:44,515] - INFO: Eval PSNR (max): 38.127 (1620) SSIM (max): 0.9613 (1620) +[2024-05-25 17:59:44,516] - INFO: Eval PSNR (current): 38.031 (1650) SSIM (current): 0.9609 (1650) +[2024-05-25 17:59:44,516] - INFO: Evaluation over. +[2024-05-25 17:59:51,303] - INFO: Epoch 1651/9999, Iter 165000: Loss = 0.019215134903788567, lr = [5e-05] +[2024-05-25 18:00:18,559] - INFO: Epoch 1651/9999, Iter 165040: Loss = 0.014057640917599201, lr = [5e-05] +[2024-05-25 18:00:45,757] - INFO: Epoch 1651/9999, Iter 165080: Loss = 0.01631779596209526, lr = [5e-05] +[2024-05-25 18:01:14,403] - INFO: Epoch 1652/9999, Iter 165120: Loss = 0.014426995068788528, lr = [5e-05] +[2024-05-25 18:01:41,604] - INFO: Epoch 1652/9999, Iter 165160: Loss = 0.009999612346291542, lr = [5e-05] +[2024-05-25 18:02:10,232] - INFO: Epoch 1653/9999, Iter 165200: Loss = 0.010661410167813301, lr = [5e-05] +[2024-05-25 18:02:37,518] - INFO: Epoch 1653/9999, Iter 165240: Loss = 0.015332394279539585, lr = [5e-05] +[2024-05-25 18:03:04,767] - INFO: Epoch 1653/9999, Iter 165280: Loss = 0.010321149602532387, lr = [5e-05] +[2024-05-25 18:03:33,310] - INFO: Epoch 1654/9999, Iter 165320: Loss = 0.01412701141089201, lr = [5e-05] +[2024-05-25 18:04:00,523] - INFO: Epoch 1654/9999, Iter 165360: Loss = 0.011695283465087414, lr = [5e-05] +[2024-05-25 18:04:29,104] - INFO: Epoch 1655/9999, Iter 165400: Loss = 0.007209004834294319, lr = [5e-05] +[2024-05-25 18:04:56,391] - INFO: Epoch 1655/9999, Iter 165440: Loss = 0.008824239484965801, lr = [5e-05] +[2024-05-25 18:05:23,638] - INFO: Epoch 1655/9999, Iter 165480: Loss = 0.013281498104333878, lr = [5e-05] +[2024-05-25 18:05:36,917] - INFO: Evaluate at epoch 1655! +[2024-05-25 18:05:41,622] - INFO: Eval PSNR (max): 38.127 (1620) SSIM (max): 0.9613 (1620) +[2024-05-25 18:05:41,622] - INFO: Eval PSNR (current): 38.111 (1655) SSIM (current): 0.9612 (1655) +[2024-05-25 18:05:41,622] - INFO: Evaluation over. +[2024-05-25 18:06:02,196] - INFO: Epoch 1656/9999, Iter 165520: Loss = 0.01691291108727455, lr = [5e-05] +[2024-05-25 18:06:29,438] - INFO: Epoch 1656/9999, Iter 165560: Loss = 0.019037768244743347, lr = [5e-05] +[2024-05-25 18:06:57,937] - INFO: Epoch 1657/9999, Iter 165600: Loss = 0.010417593643069267, lr = [5e-05] +[2024-05-25 18:07:25,261] - INFO: Epoch 1657/9999, Iter 165640: Loss = 0.010361448861658573, lr = [5e-05] +[2024-05-25 18:07:52,537] - INFO: Epoch 1657/9999, Iter 165680: Loss = 0.008044169284403324, lr = [5e-05] +[2024-05-25 18:08:21,203] - INFO: Epoch 1658/9999, Iter 165720: Loss = 0.009444168768823147, lr = [5e-05] +[2024-05-25 18:08:48,502] - INFO: Epoch 1658/9999, Iter 165760: Loss = 0.010656246915459633, lr = [5e-05] +[2024-05-25 18:09:16,843] - INFO: Epoch 1659/9999, Iter 165800: Loss = 0.011548329144716263, lr = [5e-05] +[2024-05-25 18:09:44,148] - INFO: Epoch 1659/9999, Iter 165840: Loss = 0.010292069986462593, lr = [5e-05] +[2024-05-25 18:10:11,411] - INFO: Epoch 1659/9999, Iter 165880: Loss = 0.020348191261291504, lr = [5e-05] +[2024-05-25 18:10:40,124] - INFO: Epoch 1660/9999, Iter 165920: Loss = 0.006968950852751732, lr = [5e-05] +[2024-05-25 18:11:07,342] - INFO: Epoch 1660/9999, Iter 165960: Loss = 0.010437210090458393, lr = [5e-05] +[2024-05-25 18:11:34,274] - INFO: Evaluate at epoch 1660! +[2024-05-25 18:11:38,799] - INFO: Eval PSNR (max): 38.127 (1620) SSIM (max): 0.9613 (1620) +[2024-05-25 18:11:38,800] - INFO: Eval PSNR (current): 38.046 (1660) SSIM (current): 0.9610 (1660) +[2024-05-25 18:11:38,800] - INFO: Evaluation over. +[2024-05-25 18:11:45,533] - INFO: Epoch 1661/9999, Iter 166000: Loss = 0.02695562317967415, lr = [5e-05] +[2024-05-25 18:12:12,821] - INFO: Epoch 1661/9999, Iter 166040: Loss = 0.01464062836021185, lr = [5e-05] +[2024-05-25 18:12:40,055] - INFO: Epoch 1661/9999, Iter 166080: Loss = 0.005962925497442484, lr = [5e-05] +[2024-05-25 18:13:08,615] - INFO: Epoch 1662/9999, Iter 166120: Loss = 0.009038536809384823, lr = [5e-05] +[2024-05-25 18:13:35,820] - INFO: Epoch 1662/9999, Iter 166160: Loss = 0.008284900337457657, lr = [5e-05] +[2024-05-25 18:14:04,189] - INFO: Epoch 1663/9999, Iter 166200: Loss = 0.011980637907981873, lr = [5e-05] +[2024-05-25 18:14:31,472] - INFO: Epoch 1663/9999, Iter 166240: Loss = 0.00868242233991623, lr = [5e-05] +[2024-05-25 18:14:58,664] - INFO: Epoch 1663/9999, Iter 166280: Loss = 0.011268319562077522, lr = [5e-05] +[2024-05-25 18:15:27,195] - INFO: Epoch 1664/9999, Iter 166320: Loss = 0.00973180029541254, lr = [5e-05] +[2024-05-25 18:15:54,386] - INFO: Epoch 1664/9999, Iter 166360: Loss = 0.009947020560503006, lr = [5e-05] +[2024-05-25 18:16:22,856] - INFO: Epoch 1665/9999, Iter 166400: Loss = 0.011449619196355343, lr = [5e-05] +[2024-05-25 18:16:50,092] - INFO: Epoch 1665/9999, Iter 166440: Loss = 0.012170226313173771, lr = [5e-05] +[2024-05-25 18:17:17,338] - INFO: Epoch 1665/9999, Iter 166480: Loss = 0.016587739810347557, lr = [5e-05] +[2024-05-25 18:17:30,636] - INFO: Evaluate at epoch 1665! +[2024-05-25 18:17:35,264] - INFO: Eval PSNR (max): 38.127 (1620) SSIM (max): 0.9613 (1620) +[2024-05-25 18:17:35,264] - INFO: Eval PSNR (current): 38.023 (1665) SSIM (current): 0.9608 (1665) +[2024-05-25 18:17:35,264] - INFO: Evaluation over. +[2024-05-25 18:17:55,631] - INFO: Epoch 1666/9999, Iter 166520: Loss = 0.01953754760324955, lr = [5e-05] +[2024-05-25 18:18:22,847] - INFO: Epoch 1666/9999, Iter 166560: Loss = 0.02182694710791111, lr = [5e-05] +[2024-05-25 18:18:51,675] - INFO: Epoch 1667/9999, Iter 166600: Loss = 0.016362264752388, lr = [5e-05] +[2024-05-25 18:19:18,950] - INFO: Epoch 1667/9999, Iter 166640: Loss = 0.01622256264090538, lr = [5e-05] +[2024-05-25 18:19:46,138] - INFO: Epoch 1667/9999, Iter 166680: Loss = 0.014518987387418747, lr = [5e-05] +[2024-05-25 18:20:14,766] - INFO: Epoch 1668/9999, Iter 166720: Loss = 0.01733158901333809, lr = [5e-05] +[2024-05-25 18:20:41,970] - INFO: Epoch 1668/9999, Iter 166760: Loss = 0.017604151740670204, lr = [5e-05] +[2024-05-25 18:21:10,416] - INFO: Epoch 1669/9999, Iter 166800: Loss = 0.006516020745038986, lr = [5e-05] +[2024-05-25 18:21:37,683] - INFO: Epoch 1669/9999, Iter 166840: Loss = 0.012058459222316742, lr = [5e-05] +[2024-05-25 18:22:04,933] - INFO: Epoch 1669/9999, Iter 166880: Loss = 0.010763658210635185, lr = [5e-05] +[2024-05-25 18:22:33,361] - INFO: Epoch 1670/9999, Iter 166920: Loss = 0.009236452169716358, lr = [5e-05] +[2024-05-25 18:23:00,643] - INFO: Epoch 1670/9999, Iter 166960: Loss = 0.01655755192041397, lr = [5e-05] +[2024-05-25 18:23:27,532] - INFO: Evaluate at epoch 1670! +[2024-05-25 18:23:32,214] - INFO: Eval PSNR (max): 38.127 (1620) SSIM (max): 0.9613 (1620) +[2024-05-25 18:23:32,214] - INFO: Eval PSNR (current): 38.005 (1670) SSIM (current): 0.9609 (1670) +[2024-05-25 18:23:32,214] - INFO: Evaluation over. +[2024-05-25 18:23:39,045] - INFO: Epoch 1671/9999, Iter 167000: Loss = 0.012542572803795338, lr = [5e-05] +[2024-05-25 18:24:06,352] - INFO: Epoch 1671/9999, Iter 167040: Loss = 0.008359776809811592, lr = [5e-05] +[2024-05-25 18:24:33,595] - INFO: Epoch 1671/9999, Iter 167080: Loss = 0.01895936392247677, lr = [5e-05] +[2024-05-25 18:25:02,387] - INFO: Epoch 1672/9999, Iter 167120: Loss = 0.01189976092427969, lr = [5e-05] +[2024-05-25 18:25:29,623] - INFO: Epoch 1672/9999, Iter 167160: Loss = 0.011462781578302383, lr = [5e-05] +[2024-05-25 18:25:58,143] - INFO: Epoch 1673/9999, Iter 167200: Loss = 0.008469643071293831, lr = [5e-05] +[2024-05-25 18:26:25,419] - INFO: Epoch 1673/9999, Iter 167240: Loss = 0.013069912791252136, lr = [5e-05] +[2024-05-25 18:26:52,688] - INFO: Epoch 1673/9999, Iter 167280: Loss = 0.011348863132297993, lr = [5e-05] +[2024-05-25 18:27:21,365] - INFO: Epoch 1674/9999, Iter 167320: Loss = 0.011074199341237545, lr = [5e-05] +[2024-05-25 18:27:48,617] - INFO: Epoch 1674/9999, Iter 167360: Loss = 0.008088087663054466, lr = [5e-05] +[2024-05-25 18:28:17,132] - INFO: Epoch 1675/9999, Iter 167400: Loss = 0.015808647498488426, lr = [5e-05] +[2024-05-25 18:28:44,454] - INFO: Epoch 1675/9999, Iter 167440: Loss = 0.017654357478022575, lr = [5e-05] +[2024-05-25 18:29:11,738] - INFO: Epoch 1675/9999, Iter 167480: Loss = 0.005447966046631336, lr = [5e-05] +[2024-05-25 18:29:25,053] - INFO: Evaluate at epoch 1675! +[2024-05-25 18:29:29,602] - INFO: Eval PSNR (max): 38.127 (1620) SSIM (max): 0.9613 (1620) +[2024-05-25 18:29:29,602] - INFO: Eval PSNR (current): 38.108 (1675) SSIM (current): 0.9613 (1675) +[2024-05-25 18:29:29,602] - INFO: Evaluation over. +[2024-05-25 18:29:50,163] - INFO: Epoch 1676/9999, Iter 167520: Loss = 0.02148193120956421, lr = [5e-05] +[2024-05-25 18:30:17,423] - INFO: Epoch 1676/9999, Iter 167560: Loss = 0.014495749957859516, lr = [5e-05] +[2024-05-25 18:30:45,992] - INFO: Epoch 1677/9999, Iter 167600: Loss = 0.011543404310941696, lr = [5e-05] +[2024-05-25 18:31:13,265] - INFO: Epoch 1677/9999, Iter 167640: Loss = 0.014773924835026264, lr = [5e-05] +[2024-05-25 18:31:40,441] - INFO: Epoch 1677/9999, Iter 167680: Loss = 0.012487152591347694, lr = [5e-05] +[2024-05-25 18:32:09,291] - INFO: Epoch 1678/9999, Iter 167720: Loss = 0.007324725389480591, lr = [5e-05] +[2024-05-25 18:32:36,510] - INFO: Epoch 1678/9999, Iter 167760: Loss = 0.006195655092597008, lr = [5e-05] +[2024-05-25 18:33:05,092] - INFO: Epoch 1679/9999, Iter 167800: Loss = 0.009815423749387264, lr = [5e-05] +[2024-05-25 18:33:32,390] - INFO: Epoch 1679/9999, Iter 167840: Loss = 0.008794521912932396, lr = [5e-05] +[2024-05-25 18:33:59,682] - INFO: Epoch 1679/9999, Iter 167880: Loss = 0.0070866006426513195, lr = [5e-05] +[2024-05-25 18:34:28,361] - INFO: Epoch 1680/9999, Iter 167920: Loss = 0.017948104068636894, lr = [5e-05] +[2024-05-25 18:34:55,508] - INFO: Epoch 1680/9999, Iter 167960: Loss = 0.012712917290627956, lr = [5e-05] +[2024-05-25 18:35:22,407] - INFO: Evaluate at epoch 1680! +[2024-05-25 18:35:27,083] - INFO: Eval PSNR (max): 38.127 (1620) SSIM (max): 0.9613 (1620) +[2024-05-25 18:35:27,083] - INFO: Eval PSNR (current): 38.078 (1680) SSIM (current): 0.9611 (1680) +[2024-05-25 18:35:27,083] - INFO: Evaluation over. +[2024-05-25 18:35:34,048] - INFO: Epoch 1681/9999, Iter 168000: Loss = 0.00990603119134903, lr = [5e-05] +[2024-05-25 18:36:01,389] - INFO: Epoch 1681/9999, Iter 168040: Loss = 0.009491825476288795, lr = [5e-05] +[2024-05-25 18:36:28,662] - INFO: Epoch 1681/9999, Iter 168080: Loss = 0.015658428892493248, lr = [5e-05] +[2024-05-25 18:36:57,285] - INFO: Epoch 1682/9999, Iter 168120: Loss = 0.010423597879707813, lr = [5e-05] +[2024-05-25 18:37:24,440] - INFO: Epoch 1682/9999, Iter 168160: Loss = 0.014284939505159855, lr = [5e-05] +[2024-05-25 18:37:53,206] - INFO: Epoch 1683/9999, Iter 168200: Loss = 0.01620078831911087, lr = [5e-05] +[2024-05-25 18:38:20,483] - INFO: Epoch 1683/9999, Iter 168240: Loss = 0.014642505906522274, lr = [5e-05] +[2024-05-25 18:38:47,608] - INFO: Epoch 1683/9999, Iter 168280: Loss = 0.013469889760017395, lr = [5e-05] +[2024-05-25 18:39:16,122] - INFO: Epoch 1684/9999, Iter 168320: Loss = 0.017108488827943802, lr = [5e-05] +[2024-05-25 18:39:43,327] - INFO: Epoch 1684/9999, Iter 168360: Loss = 0.008938721381127834, lr = [5e-05] +[2024-05-25 18:40:11,935] - INFO: Epoch 1685/9999, Iter 168400: Loss = 0.013768194243311882, lr = [5e-05] +[2024-05-25 18:40:39,227] - INFO: Epoch 1685/9999, Iter 168440: Loss = 0.007527985144406557, lr = [5e-05] +[2024-05-25 18:41:06,496] - INFO: Epoch 1685/9999, Iter 168480: Loss = 0.018754150718450546, lr = [5e-05] +[2024-05-25 18:41:19,780] - INFO: Evaluate at epoch 1685! +[2024-05-25 18:41:24,573] - INFO: Eval PSNR (max): 38.127 (1620) SSIM (max): 0.9613 (1620) +[2024-05-25 18:41:24,574] - INFO: Eval PSNR (current): 38.068 (1685) SSIM (current): 0.9611 (1685) +[2024-05-25 18:41:24,574] - INFO: Evaluation over. +[2024-05-25 18:41:45,088] - INFO: Epoch 1686/9999, Iter 168520: Loss = 0.015437060967087746, lr = [5e-05] +[2024-05-25 18:42:12,283] - INFO: Epoch 1686/9999, Iter 168560: Loss = 0.014806789346039295, lr = [5e-05] +[2024-05-25 18:42:40,780] - INFO: Epoch 1687/9999, Iter 168600: Loss = 0.019304215908050537, lr = [5e-05] +[2024-05-25 18:43:08,051] - INFO: Epoch 1687/9999, Iter 168640: Loss = 0.010097366757690907, lr = [5e-05] +[2024-05-25 18:43:35,222] - INFO: Epoch 1687/9999, Iter 168680: Loss = 0.013228869065642357, lr = [5e-05] +[2024-05-25 18:44:03,878] - INFO: Epoch 1688/9999, Iter 168720: Loss = 0.019085749983787537, lr = [5e-05] +[2024-05-25 18:44:31,082] - INFO: Epoch 1688/9999, Iter 168760: Loss = 0.014218908734619617, lr = [5e-05] +[2024-05-25 18:44:59,688] - INFO: Epoch 1689/9999, Iter 168800: Loss = 0.020880939438939095, lr = [5e-05] +[2024-05-25 18:45:27,030] - INFO: Epoch 1689/9999, Iter 168840: Loss = 0.010776007547974586, lr = [5e-05] +[2024-05-25 18:45:54,245] - INFO: Epoch 1689/9999, Iter 168880: Loss = 0.009479104541242123, lr = [5e-05] +[2024-05-25 18:46:22,935] - INFO: Epoch 1690/9999, Iter 168920: Loss = 0.011372284963726997, lr = [5e-05] +[2024-05-25 18:46:50,177] - INFO: Epoch 1690/9999, Iter 168960: Loss = 0.011996847577393055, lr = [5e-05] +[2024-05-25 18:47:17,026] - INFO: Evaluate at epoch 1690! +[2024-05-25 18:47:21,686] - INFO: Eval PSNR (max): 38.127 (1620) SSIM (max): 0.9613 (1620) +[2024-05-25 18:47:21,686] - INFO: Eval PSNR (current): 38.007 (1690) SSIM (current): 0.9611 (1690) +[2024-05-25 18:47:21,686] - INFO: Evaluation over. +[2024-05-25 18:47:28,487] - INFO: Epoch 1691/9999, Iter 169000: Loss = 0.013734742999076843, lr = [5e-05] +[2024-05-25 18:47:55,754] - INFO: Epoch 1691/9999, Iter 169040: Loss = 0.018036387860774994, lr = [5e-05] +[2024-05-25 18:48:22,970] - INFO: Epoch 1691/9999, Iter 169080: Loss = 0.011681974865496159, lr = [5e-05] +[2024-05-25 18:48:51,701] - INFO: Epoch 1692/9999, Iter 169120: Loss = 0.0206151083111763, lr = [5e-05] +[2024-05-25 18:49:18,899] - INFO: Epoch 1692/9999, Iter 169160: Loss = 0.016277946531772614, lr = [5e-05] +[2024-05-25 18:49:47,700] - INFO: Epoch 1693/9999, Iter 169200: Loss = 0.0082328449934721, lr = [5e-05] +[2024-05-25 18:50:15,029] - INFO: Epoch 1693/9999, Iter 169240: Loss = 0.013835975900292397, lr = [5e-05] +[2024-05-25 18:50:42,228] - INFO: Epoch 1693/9999, Iter 169280: Loss = 0.010828192345798016, lr = [5e-05] +[2024-05-25 18:51:10,678] - INFO: Epoch 1694/9999, Iter 169320: Loss = 0.008095710538327694, lr = [5e-05] +[2024-05-25 18:51:37,868] - INFO: Epoch 1694/9999, Iter 169360: Loss = 0.0067864940501749516, lr = [5e-05] +[2024-05-25 18:52:06,458] - INFO: Epoch 1695/9999, Iter 169400: Loss = 0.011019681580364704, lr = [5e-05] +[2024-05-25 18:52:33,748] - INFO: Epoch 1695/9999, Iter 169440: Loss = 0.011712069623172283, lr = [5e-05] +[2024-05-25 18:53:00,907] - INFO: Epoch 1695/9999, Iter 169480: Loss = 0.013216922990977764, lr = [5e-05] +[2024-05-25 18:53:14,206] - INFO: Evaluate at epoch 1695! +[2024-05-25 18:53:24,788] - INFO: Eval PSNR (max): 38.127 (1620) SSIM (max): 0.9613 (1695) +[2024-05-25 18:53:24,789] - INFO: Eval PSNR (current): 38.102 (1695) SSIM (current): 0.9613 (1695) +[2024-05-25 18:53:24,789] - INFO: Evaluation over. +[2024-05-25 18:53:45,178] - INFO: Epoch 1696/9999, Iter 169520: Loss = 0.015276570804417133, lr = [5e-05] +[2024-05-25 18:54:12,388] - INFO: Epoch 1696/9999, Iter 169560: Loss = 0.028528593480587006, lr = [5e-05] +[2024-05-25 18:54:41,106] - INFO: Epoch 1697/9999, Iter 169600: Loss = 0.009233220480382442, lr = [5e-05] +[2024-05-25 18:55:08,386] - INFO: Epoch 1697/9999, Iter 169640: Loss = 0.010808627121150494, lr = [5e-05] +[2024-05-25 18:55:35,606] - INFO: Epoch 1697/9999, Iter 169680: Loss = 0.014561986550688744, lr = [5e-05] +[2024-05-25 18:56:04,232] - INFO: Epoch 1698/9999, Iter 169720: Loss = 0.007974985986948013, lr = [5e-05] +[2024-05-25 18:56:31,456] - INFO: Epoch 1698/9999, Iter 169760: Loss = 0.015863867476582527, lr = [5e-05] +[2024-05-25 18:57:00,004] - INFO: Epoch 1699/9999, Iter 169800: Loss = 0.006998045835644007, lr = [5e-05] +[2024-05-25 18:57:27,306] - INFO: Epoch 1699/9999, Iter 169840: Loss = 0.008426572196185589, lr = [5e-05] +[2024-05-25 18:57:54,487] - INFO: Epoch 1699/9999, Iter 169880: Loss = 0.012357740662992, lr = [5e-05] +[2024-05-25 18:58:23,279] - INFO: Epoch 1700/9999, Iter 169920: Loss = 0.011089904233813286, lr = [5e-05] +[2024-05-25 18:58:50,508] - INFO: Epoch 1700/9999, Iter 169960: Loss = 0.00865003652870655, lr = [5e-05] +[2024-05-25 18:59:17,380] - INFO: Evaluate at epoch 1700! +[2024-05-25 18:59:27,542] - INFO: Eval PSNR (max): 38.134 (1700) SSIM (max): 0.9613 (1695) +[2024-05-25 18:59:27,543] - INFO: Eval PSNR (current): 38.134 (1700) SSIM (current): 0.9612 (1700) +[2024-05-25 18:59:27,543] - INFO: Evaluation over. +[2024-05-25 18:59:34,219] - INFO: Epoch 1701/9999, Iter 170000: Loss = 0.010974587872624397, lr = [5e-05] +[2024-05-25 19:00:01,553] - INFO: Epoch 1701/9999, Iter 170040: Loss = 0.010003608651459217, lr = [5e-05] +[2024-05-25 19:00:28,726] - INFO: Epoch 1701/9999, Iter 170080: Loss = 0.009156093932688236, lr = [5e-05] +[2024-05-25 19:00:57,473] - INFO: Epoch 1702/9999, Iter 170120: Loss = 0.01079570222645998, lr = [5e-05] +[2024-05-25 19:01:24,743] - INFO: Epoch 1702/9999, Iter 170160: Loss = 0.016310879960656166, lr = [5e-05] +[2024-05-25 19:01:53,316] - INFO: Epoch 1703/9999, Iter 170200: Loss = 0.012509681284427643, lr = [5e-05] +[2024-05-25 19:02:20,595] - INFO: Epoch 1703/9999, Iter 170240: Loss = 0.015591347590088844, lr = [5e-05] +[2024-05-25 19:02:47,840] - INFO: Epoch 1703/9999, Iter 170280: Loss = 0.01524482760578394, lr = [5e-05] +[2024-05-25 19:03:16,429] - INFO: Epoch 1704/9999, Iter 170320: Loss = 0.01595473103225231, lr = [5e-05] +[2024-05-25 19:03:43,714] - INFO: Epoch 1704/9999, Iter 170360: Loss = 0.008386948145925999, lr = [5e-05] +[2024-05-25 19:04:12,399] - INFO: Epoch 1705/9999, Iter 170400: Loss = 0.012523997575044632, lr = [5e-05] +[2024-05-25 19:04:39,621] - INFO: Epoch 1705/9999, Iter 170440: Loss = 0.010224736295640469, lr = [5e-05] +[2024-05-25 19:05:06,873] - INFO: Epoch 1705/9999, Iter 170480: Loss = 0.017469899728894234, lr = [5e-05] +[2024-05-25 19:05:20,193] - INFO: Evaluate at epoch 1705! +[2024-05-25 19:05:24,931] - INFO: Eval PSNR (max): 38.134 (1700) SSIM (max): 0.9613 (1695) +[2024-05-25 19:05:24,931] - INFO: Eval PSNR (current): 38.108 (1705) SSIM (current): 0.9612 (1705) +[2024-05-25 19:05:24,931] - INFO: Evaluation over. +[2024-05-25 19:05:45,251] - INFO: Epoch 1706/9999, Iter 170520: Loss = 0.011792425997555256, lr = [5e-05] +[2024-05-25 19:06:12,504] - INFO: Epoch 1706/9999, Iter 170560: Loss = 0.014541278593242168, lr = [5e-05] +[2024-05-25 19:06:40,794] - INFO: Epoch 1707/9999, Iter 170600: Loss = 0.009196673519909382, lr = [5e-05] +[2024-05-25 19:07:08,082] - INFO: Epoch 1707/9999, Iter 170640: Loss = 0.015737231820821762, lr = [5e-05] +[2024-05-25 19:07:35,340] - INFO: Epoch 1707/9999, Iter 170680: Loss = 0.009283981285989285, lr = [5e-05] +[2024-05-25 19:08:04,346] - INFO: Epoch 1708/9999, Iter 170720: Loss = 0.01423212792724371, lr = [5e-05] +[2024-05-25 19:08:31,594] - INFO: Epoch 1708/9999, Iter 170760: Loss = 0.012586821801960468, lr = [5e-05] +[2024-05-25 19:09:00,046] - INFO: Epoch 1709/9999, Iter 170800: Loss = 0.01782277785241604, lr = [5e-05] +[2024-05-25 19:09:27,312] - INFO: Epoch 1709/9999, Iter 170840: Loss = 0.015912067145109177, lr = [5e-05] +[2024-05-25 19:09:54,492] - INFO: Epoch 1709/9999, Iter 170880: Loss = 0.010092460550367832, lr = [5e-05] +[2024-05-25 19:10:23,318] - INFO: Epoch 1710/9999, Iter 170920: Loss = 0.016766777262091637, lr = [5e-05] +[2024-05-25 19:10:50,520] - INFO: Epoch 1710/9999, Iter 170960: Loss = 0.010269192047417164, lr = [5e-05] +[2024-05-25 19:11:17,413] - INFO: Evaluate at epoch 1710! +[2024-05-25 19:11:21,935] - INFO: Eval PSNR (max): 38.134 (1700) SSIM (max): 0.9613 (1695) +[2024-05-25 19:11:21,936] - INFO: Eval PSNR (current): 38.097 (1710) SSIM (current): 0.9612 (1710) +[2024-05-25 19:11:21,936] - INFO: Evaluation over. +[2024-05-25 19:11:28,801] - INFO: Epoch 1711/9999, Iter 171000: Loss = 0.008316065184772015, lr = [5e-05] +[2024-05-25 19:11:56,089] - INFO: Epoch 1711/9999, Iter 171040: Loss = 0.01748626120388508, lr = [5e-05] +[2024-05-25 19:12:23,338] - INFO: Epoch 1711/9999, Iter 171080: Loss = 0.017631419003009796, lr = [5e-05] +[2024-05-25 19:12:52,156] - INFO: Epoch 1712/9999, Iter 171120: Loss = 0.006176565773785114, lr = [5e-05] +[2024-05-25 19:13:19,365] - INFO: Epoch 1712/9999, Iter 171160: Loss = 0.01626620441675186, lr = [5e-05] +[2024-05-25 19:13:47,953] - INFO: Epoch 1713/9999, Iter 171200: Loss = 0.00834562350064516, lr = [5e-05] +[2024-05-25 19:14:15,280] - INFO: Epoch 1713/9999, Iter 171240: Loss = 0.012153887189924717, lr = [5e-05] +[2024-05-25 19:14:42,500] - INFO: Epoch 1713/9999, Iter 171280: Loss = 0.0093660494312644, lr = [5e-05] +[2024-05-25 19:15:11,263] - INFO: Epoch 1714/9999, Iter 171320: Loss = 0.02176271192729473, lr = [5e-05] +[2024-05-25 19:15:38,524] - INFO: Epoch 1714/9999, Iter 171360: Loss = 0.012461408972740173, lr = [5e-05] +[2024-05-25 19:16:06,967] - INFO: Epoch 1715/9999, Iter 171400: Loss = 0.008379833772778511, lr = [5e-05] +[2024-05-25 19:16:34,229] - INFO: Epoch 1715/9999, Iter 171440: Loss = 0.011775607243180275, lr = [5e-05] +[2024-05-25 19:17:01,433] - INFO: Epoch 1715/9999, Iter 171480: Loss = 0.01218693982809782, lr = [5e-05] +[2024-05-25 19:17:14,826] - INFO: Evaluate at epoch 1715! +[2024-05-25 19:17:19,529] - INFO: Eval PSNR (max): 38.134 (1700) SSIM (max): 0.9613 (1695) +[2024-05-25 19:17:19,529] - INFO: Eval PSNR (current): 38.089 (1715) SSIM (current): 0.9613 (1715) +[2024-05-25 19:17:19,529] - INFO: Evaluation over. +[2024-05-25 19:17:39,883] - INFO: Epoch 1716/9999, Iter 171520: Loss = 0.01528145745396614, lr = [5e-05] +[2024-05-25 19:18:07,139] - INFO: Epoch 1716/9999, Iter 171560: Loss = 0.023181069642305374, lr = [5e-05] +[2024-05-25 19:18:35,484] - INFO: Epoch 1717/9999, Iter 171600: Loss = 0.013696105219423771, lr = [5e-05] +[2024-05-25 19:19:02,721] - INFO: Epoch 1717/9999, Iter 171640: Loss = 0.00783300306648016, lr = [5e-05] +[2024-05-25 19:19:29,975] - INFO: Epoch 1717/9999, Iter 171680: Loss = 0.01322002150118351, lr = [5e-05] +[2024-05-25 19:19:58,643] - INFO: Epoch 1718/9999, Iter 171720: Loss = 0.016040047630667686, lr = [5e-05] +[2024-05-25 19:20:25,834] - INFO: Epoch 1718/9999, Iter 171760: Loss = 0.011173540726304054, lr = [5e-05] +[2024-05-25 19:20:54,520] - INFO: Epoch 1719/9999, Iter 171800: Loss = 0.01499753724783659, lr = [5e-05] +[2024-05-25 19:21:21,831] - INFO: Epoch 1719/9999, Iter 171840: Loss = 0.011753425933420658, lr = [5e-05] +[2024-05-25 19:21:49,042] - INFO: Epoch 1719/9999, Iter 171880: Loss = 0.014791661873459816, lr = [5e-05] +[2024-05-25 19:22:17,768] - INFO: Epoch 1720/9999, Iter 171920: Loss = 0.017387324944138527, lr = [5e-05] +[2024-05-25 19:22:44,950] - INFO: Epoch 1720/9999, Iter 171960: Loss = 0.011424141004681587, lr = [5e-05] +[2024-05-25 19:23:11,856] - INFO: Evaluate at epoch 1720! +[2024-05-25 19:23:16,579] - INFO: Eval PSNR (max): 38.134 (1700) SSIM (max): 0.9613 (1695) +[2024-05-25 19:23:16,579] - INFO: Eval PSNR (current): 38.041 (1720) SSIM (current): 0.9610 (1720) +[2024-05-25 19:23:16,579] - INFO: Evaluation over. +[2024-05-25 19:23:23,605] - INFO: Epoch 1721/9999, Iter 172000: Loss = 0.020515235140919685, lr = [5e-05] +[2024-05-25 19:23:50,917] - INFO: Epoch 1721/9999, Iter 172040: Loss = 0.009436040185391903, lr = [5e-05] +[2024-05-25 19:24:18,147] - INFO: Epoch 1721/9999, Iter 172080: Loss = 0.019685693085193634, lr = [5e-05] +[2024-05-25 19:24:46,815] - INFO: Epoch 1722/9999, Iter 172120: Loss = 0.019588729366660118, lr = [5e-05] +[2024-05-25 19:25:14,006] - INFO: Epoch 1722/9999, Iter 172160: Loss = 0.015673115849494934, lr = [5e-05] +[2024-05-25 19:25:42,660] - INFO: Epoch 1723/9999, Iter 172200: Loss = 0.010506542399525642, lr = [5e-05] +[2024-05-25 19:26:09,936] - INFO: Epoch 1723/9999, Iter 172240: Loss = 0.014247465878725052, lr = [5e-05] +[2024-05-25 19:26:37,127] - INFO: Epoch 1723/9999, Iter 172280: Loss = 0.019467715173959732, lr = [5e-05] +[2024-05-25 19:27:05,748] - INFO: Epoch 1724/9999, Iter 172320: Loss = 0.011503377929329872, lr = [5e-05] +[2024-05-25 19:27:32,938] - INFO: Epoch 1724/9999, Iter 172360: Loss = 0.010130814276635647, lr = [5e-05] +[2024-05-25 19:28:01,478] - INFO: Epoch 1725/9999, Iter 172400: Loss = 0.009057166054844856, lr = [5e-05] +[2024-05-25 19:28:28,795] - INFO: Epoch 1725/9999, Iter 172440: Loss = 0.006459030322730541, lr = [5e-05] +[2024-05-25 19:28:56,023] - INFO: Epoch 1725/9999, Iter 172480: Loss = 0.012504260055720806, lr = [5e-05] +[2024-05-25 19:29:09,289] - INFO: Evaluate at epoch 1725! +[2024-05-25 19:29:19,210] - INFO: Eval PSNR (max): 38.134 (1700) SSIM (max): 0.9613 (1725) +[2024-05-25 19:29:19,211] - INFO: Eval PSNR (current): 38.086 (1725) SSIM (current): 0.9613 (1725) +[2024-05-25 19:29:19,211] - INFO: Evaluation over. +[2024-05-25 19:29:39,734] - INFO: Epoch 1726/9999, Iter 172520: Loss = 0.010975689627230167, lr = [5e-05] +[2024-05-25 19:30:06,907] - INFO: Epoch 1726/9999, Iter 172560: Loss = 0.010708433575928211, lr = [5e-05] +[2024-05-25 19:30:35,615] - INFO: Epoch 1727/9999, Iter 172600: Loss = 0.01052119117230177, lr = [5e-05] +[2024-05-25 19:31:02,870] - INFO: Epoch 1727/9999, Iter 172640: Loss = 0.010480002500116825, lr = [5e-05] +[2024-05-25 19:31:30,067] - INFO: Epoch 1727/9999, Iter 172680: Loss = 0.013665310107171535, lr = [5e-05] +[2024-05-25 19:31:58,682] - INFO: Epoch 1728/9999, Iter 172720: Loss = 0.00929349660873413, lr = [5e-05] +[2024-05-25 19:32:25,892] - INFO: Epoch 1728/9999, Iter 172760: Loss = 0.01496756263077259, lr = [5e-05] +[2024-05-25 19:32:54,412] - INFO: Epoch 1729/9999, Iter 172800: Loss = 0.010104643180966377, lr = [5e-05] +[2024-05-25 19:33:21,667] - INFO: Epoch 1729/9999, Iter 172840: Loss = 0.010521833784878254, lr = [5e-05] +[2024-05-25 19:33:48,880] - INFO: Epoch 1729/9999, Iter 172880: Loss = 0.011350352317094803, lr = [5e-05] +[2024-05-25 19:34:17,499] - INFO: Epoch 1730/9999, Iter 172920: Loss = 0.012793807312846184, lr = [5e-05] +[2024-05-25 19:34:44,696] - INFO: Epoch 1730/9999, Iter 172960: Loss = 0.010464776307344437, lr = [5e-05] +[2024-05-25 19:35:11,638] - INFO: Evaluate at epoch 1730! +[2024-05-25 19:35:16,417] - INFO: Eval PSNR (max): 38.134 (1700) SSIM (max): 0.9613 (1725) +[2024-05-25 19:35:16,417] - INFO: Eval PSNR (current): 38.093 (1730) SSIM (current): 0.9612 (1730) +[2024-05-25 19:35:16,417] - INFO: Evaluation over. +[2024-05-25 19:35:23,231] - INFO: Epoch 1731/9999, Iter 173000: Loss = 0.009890574030578136, lr = [5e-05] +[2024-05-25 19:35:50,611] - INFO: Epoch 1731/9999, Iter 173040: Loss = 0.010284405201673508, lr = [5e-05] +[2024-05-25 19:36:17,863] - INFO: Epoch 1731/9999, Iter 173080: Loss = 0.008402437902987003, lr = [5e-05] +[2024-05-25 19:36:46,378] - INFO: Epoch 1732/9999, Iter 173120: Loss = 0.012210629880428314, lr = [5e-05] +[2024-05-25 19:37:13,596] - INFO: Epoch 1732/9999, Iter 173160: Loss = 0.006984790321439505, lr = [5e-05] +[2024-05-25 19:37:41,923] - INFO: Epoch 1733/9999, Iter 173200: Loss = 0.010158035904169083, lr = [5e-05] +[2024-05-25 19:38:09,250] - INFO: Epoch 1733/9999, Iter 173240: Loss = 0.006637438666075468, lr = [5e-05] +[2024-05-25 19:38:36,501] - INFO: Epoch 1733/9999, Iter 173280: Loss = 0.020065907388925552, lr = [5e-05] +[2024-05-25 19:39:05,199] - INFO: Epoch 1734/9999, Iter 173320: Loss = 0.01364260446280241, lr = [5e-05] +[2024-05-25 19:39:32,413] - INFO: Epoch 1734/9999, Iter 173360: Loss = 0.014689401723444462, lr = [5e-05] +[2024-05-25 19:40:01,144] - INFO: Epoch 1735/9999, Iter 173400: Loss = 0.016616221517324448, lr = [5e-05] +[2024-05-25 19:40:28,446] - INFO: Epoch 1735/9999, Iter 173440: Loss = 0.01738922856748104, lr = [5e-05] +[2024-05-25 19:40:55,733] - INFO: Epoch 1735/9999, Iter 173480: Loss = 0.013097284361720085, lr = [5e-05] +[2024-05-25 19:41:09,033] - INFO: Evaluate at epoch 1735! +[2024-05-25 19:41:13,717] - INFO: Eval PSNR (max): 38.134 (1700) SSIM (max): 0.9613 (1725) +[2024-05-25 19:41:13,718] - INFO: Eval PSNR (current): 38.107 (1735) SSIM (current): 0.9613 (1735) +[2024-05-25 19:41:13,718] - INFO: Evaluation over. +[2024-05-25 19:41:34,120] - INFO: Epoch 1736/9999, Iter 173520: Loss = 0.017215369269251823, lr = [5e-05] +[2024-05-25 19:42:01,304] - INFO: Epoch 1736/9999, Iter 173560: Loss = 0.012129629030823708, lr = [5e-05] +[2024-05-25 19:42:29,824] - INFO: Epoch 1737/9999, Iter 173600: Loss = 0.014425617642700672, lr = [5e-05] +[2024-05-25 19:42:57,149] - INFO: Epoch 1737/9999, Iter 173640: Loss = 0.008462660945951939, lr = [5e-05] +[2024-05-25 19:43:24,426] - INFO: Epoch 1737/9999, Iter 173680: Loss = 0.01167481392621994, lr = [5e-05] +[2024-05-25 19:43:53,083] - INFO: Epoch 1738/9999, Iter 173720: Loss = 0.007896273396909237, lr = [5e-05] +[2024-05-25 19:44:20,277] - INFO: Epoch 1738/9999, Iter 173760: Loss = 0.01132668275386095, lr = [5e-05] +[2024-05-25 19:44:48,707] - INFO: Epoch 1739/9999, Iter 173800: Loss = 0.014036267064511776, lr = [5e-05] +[2024-05-25 19:45:15,957] - INFO: Epoch 1739/9999, Iter 173840: Loss = 0.009179610759019852, lr = [5e-05] +[2024-05-25 19:45:43,171] - INFO: Epoch 1739/9999, Iter 173880: Loss = 0.010357360355556011, lr = [5e-05] +[2024-05-25 19:46:12,091] - INFO: Epoch 1740/9999, Iter 173920: Loss = 0.012994700111448765, lr = [5e-05] +[2024-05-25 19:46:39,367] - INFO: Epoch 1740/9999, Iter 173960: Loss = 0.013119054958224297, lr = [5e-05] +[2024-05-25 19:47:06,277] - INFO: Evaluate at epoch 1740! +[2024-05-25 19:47:10,939] - INFO: Eval PSNR (max): 38.134 (1700) SSIM (max): 0.9613 (1725) +[2024-05-25 19:47:10,939] - INFO: Eval PSNR (current): 38.038 (1740) SSIM (current): 0.9611 (1740) +[2024-05-25 19:47:10,939] - INFO: Evaluation over. +[2024-05-25 19:47:17,689] - INFO: Epoch 1741/9999, Iter 174000: Loss = 0.013770059682428837, lr = [5e-05] +[2024-05-25 19:47:44,950] - INFO: Epoch 1741/9999, Iter 174040: Loss = 0.02281443029642105, lr = [5e-05] +[2024-05-25 19:48:12,191] - INFO: Epoch 1741/9999, Iter 174080: Loss = 0.016130506992340088, lr = [5e-05] +[2024-05-25 19:48:40,875] - INFO: Epoch 1742/9999, Iter 174120: Loss = 0.01407654955983162, lr = [5e-05] +[2024-05-25 19:49:08,090] - INFO: Epoch 1742/9999, Iter 174160: Loss = 0.015105435624718666, lr = [5e-05] +[2024-05-25 19:49:36,564] - INFO: Epoch 1743/9999, Iter 174200: Loss = 0.014198342338204384, lr = [5e-05] +[2024-05-25 19:50:03,967] - INFO: Epoch 1743/9999, Iter 174240: Loss = 0.016463426873087883, lr = [5e-05] +[2024-05-25 19:50:31,162] - INFO: Epoch 1743/9999, Iter 174280: Loss = 0.010743772611021996, lr = [5e-05] +[2024-05-25 19:50:59,568] - INFO: Epoch 1744/9999, Iter 174320: Loss = 0.019565604627132416, lr = [5e-05] +[2024-05-25 19:51:26,750] - INFO: Epoch 1744/9999, Iter 174360: Loss = 0.01303893979638815, lr = [5e-05] +[2024-05-25 19:51:55,539] - INFO: Epoch 1745/9999, Iter 174400: Loss = 0.014464635401964188, lr = [5e-05] +[2024-05-25 19:52:22,829] - INFO: Epoch 1745/9999, Iter 174440: Loss = 0.008834975771605968, lr = [5e-05] +[2024-05-25 19:52:50,045] - INFO: Epoch 1745/9999, Iter 174480: Loss = 0.02005413919687271, lr = [5e-05] +[2024-05-25 19:53:03,346] - INFO: Evaluate at epoch 1745! +[2024-05-25 19:53:08,025] - INFO: Eval PSNR (max): 38.134 (1700) SSIM (max): 0.9613 (1725) +[2024-05-25 19:53:08,025] - INFO: Eval PSNR (current): 38.110 (1745) SSIM (current): 0.9612 (1745) +[2024-05-25 19:53:08,025] - INFO: Evaluation over. +[2024-05-25 19:53:28,559] - INFO: Epoch 1746/9999, Iter 174520: Loss = 0.018280649557709694, lr = [5e-05] +[2024-05-25 19:53:55,788] - INFO: Epoch 1746/9999, Iter 174560: Loss = 0.013294159434735775, lr = [5e-05] +[2024-05-25 19:54:24,421] - INFO: Epoch 1747/9999, Iter 174600: Loss = 0.00864823441952467, lr = [5e-05] +[2024-05-25 19:54:51,723] - INFO: Epoch 1747/9999, Iter 174640: Loss = 0.006981431506574154, lr = [5e-05] +[2024-05-25 19:55:18,971] - INFO: Epoch 1747/9999, Iter 174680: Loss = 0.0095751928165555, lr = [5e-05] +[2024-05-25 19:55:47,474] - INFO: Epoch 1748/9999, Iter 174720: Loss = 0.0105979572981596, lr = [5e-05] +[2024-05-25 19:56:14,663] - INFO: Epoch 1748/9999, Iter 174760: Loss = 0.012019376270473003, lr = [5e-05] +[2024-05-25 19:56:43,405] - INFO: Epoch 1749/9999, Iter 174800: Loss = 0.012902438640594482, lr = [5e-05] +[2024-05-25 19:57:10,751] - INFO: Epoch 1749/9999, Iter 174840: Loss = 0.011504875496029854, lr = [5e-05] +[2024-05-25 19:57:38,022] - INFO: Epoch 1749/9999, Iter 174880: Loss = 0.012135225348174572, lr = [5e-05] +[2024-05-25 19:58:06,675] - INFO: Epoch 1750/9999, Iter 174920: Loss = 0.01320903655141592, lr = [5e-05] +[2024-05-25 19:58:33,856] - INFO: Epoch 1750/9999, Iter 174960: Loss = 0.008595304563641548, lr = [5e-05] +[2024-05-25 19:59:00,772] - INFO: Evaluate at epoch 1750! +[2024-05-25 19:59:10,739] - INFO: Eval PSNR (max): 38.134 (1700) SSIM (max): 0.9614 (1750) +[2024-05-25 19:59:10,740] - INFO: Eval PSNR (current): 38.112 (1750) SSIM (current): 0.9614 (1750) +[2024-05-25 19:59:10,740] - INFO: Evaluation over. +[2024-05-25 19:59:17,567] - INFO: Epoch 1751/9999, Iter 175000: Loss = 0.012385892681777477, lr = [5e-05] +[2024-05-25 19:59:44,858] - INFO: Epoch 1751/9999, Iter 175040: Loss = 0.021366888657212257, lr = [5e-05] +[2024-05-25 20:00:12,107] - INFO: Epoch 1751/9999, Iter 175080: Loss = 0.012408164329826832, lr = [5e-05] +[2024-05-25 20:00:40,578] - INFO: Epoch 1752/9999, Iter 175120: Loss = 0.017176814377307892, lr = [5e-05] +[2024-05-25 20:01:07,837] - INFO: Epoch 1752/9999, Iter 175160: Loss = 0.007623871322721243, lr = [5e-05] +[2024-05-25 20:01:36,474] - INFO: Epoch 1753/9999, Iter 175200: Loss = 0.008189963176846504, lr = [5e-05] +[2024-05-25 20:02:03,727] - INFO: Epoch 1753/9999, Iter 175240: Loss = 0.011721997521817684, lr = [5e-05] +[2024-05-25 20:02:30,971] - INFO: Epoch 1753/9999, Iter 175280: Loss = 0.022985564544796944, lr = [5e-05] +[2024-05-25 20:02:59,533] - INFO: Epoch 1754/9999, Iter 175320: Loss = 0.01597536727786064, lr = [5e-05] +[2024-05-25 20:03:26,764] - INFO: Epoch 1754/9999, Iter 175360: Loss = 0.011813843622803688, lr = [5e-05] +[2024-05-25 20:03:55,427] - INFO: Epoch 1755/9999, Iter 175400: Loss = 0.009596430696547031, lr = [5e-05] +[2024-05-25 20:04:22,726] - INFO: Epoch 1755/9999, Iter 175440: Loss = 0.009070937521755695, lr = [5e-05] +[2024-05-25 20:04:49,971] - INFO: Epoch 1755/9999, Iter 175480: Loss = 0.01024600863456726, lr = [5e-05] +[2024-05-25 20:05:03,262] - INFO: Evaluate at epoch 1755! +[2024-05-25 20:05:07,908] - INFO: Eval PSNR (max): 38.134 (1700) SSIM (max): 0.9614 (1750) +[2024-05-25 20:05:07,909] - INFO: Eval PSNR (current): 38.103 (1755) SSIM (current): 0.9612 (1755) +[2024-05-25 20:05:07,909] - INFO: Evaluation over. +[2024-05-25 20:05:28,273] - INFO: Epoch 1756/9999, Iter 175520: Loss = 0.013053744100034237, lr = [5e-05] +[2024-05-25 20:05:55,477] - INFO: Epoch 1756/9999, Iter 175560: Loss = 0.011131785809993744, lr = [5e-05] +[2024-05-25 20:06:24,053] - INFO: Epoch 1757/9999, Iter 175600: Loss = 0.011731822974979877, lr = [5e-05] +[2024-05-25 20:06:51,272] - INFO: Epoch 1757/9999, Iter 175640: Loss = 0.010452979244291782, lr = [5e-05] +[2024-05-25 20:07:18,522] - INFO: Epoch 1757/9999, Iter 175680: Loss = 0.0056153107434511185, lr = [5e-05] +[2024-05-25 20:07:47,111] - INFO: Epoch 1758/9999, Iter 175720: Loss = 0.009391670115292072, lr = [5e-05] +[2024-05-25 20:08:14,374] - INFO: Epoch 1758/9999, Iter 175760: Loss = 0.014468884095549583, lr = [5e-05] +[2024-05-25 20:08:43,298] - INFO: Epoch 1759/9999, Iter 175800: Loss = 0.011051730252802372, lr = [5e-05] +[2024-05-25 20:09:10,654] - INFO: Epoch 1759/9999, Iter 175840: Loss = 0.012094509787857533, lr = [5e-05] +[2024-05-25 20:09:37,852] - INFO: Epoch 1759/9999, Iter 175880: Loss = 0.009598501026630402, lr = [5e-05] +[2024-05-25 20:10:06,578] - INFO: Epoch 1760/9999, Iter 175920: Loss = 0.019262216985225677, lr = [5e-05] +[2024-05-25 20:10:33,815] - INFO: Epoch 1760/9999, Iter 175960: Loss = 0.013055779039859772, lr = [5e-05] +[2024-05-25 20:11:04,880] - INFO: Evaluate at epoch 1760! +[2024-05-25 20:11:11,704] - INFO: Eval PSNR (max): 38.134 (1700) SSIM (max): 0.9614 (1750) +[2024-05-25 20:11:11,704] - INFO: Eval PSNR (current): 38.096 (1760) SSIM (current): 0.9612 (1760) +[2024-05-25 20:11:11,704] - INFO: Evaluation over. +[2024-05-25 20:11:23,097] - INFO: Epoch 1761/9999, Iter 176000: Loss = 0.02794984169304371, lr = [5e-05] +[2024-05-25 20:11:50,403] - INFO: Epoch 1761/9999, Iter 176040: Loss = 0.007862310856580734, lr = [5e-05] +[2024-05-25 20:12:19,203] - INFO: Epoch 1761/9999, Iter 176080: Loss = 0.007408239413052797, lr = [5e-05] +[2024-05-25 20:12:48,576] - INFO: Epoch 1762/9999, Iter 176120: Loss = 0.011201637797057629, lr = [5e-05] +[2024-05-25 20:13:16,486] - INFO: Epoch 1762/9999, Iter 176160: Loss = 0.008748743683099747, lr = [5e-05] +[2024-05-25 20:13:47,699] - INFO: Epoch 1763/9999, Iter 176200: Loss = 0.015286386013031006, lr = [5e-05] +[2024-05-25 20:14:15,176] - INFO: Epoch 1763/9999, Iter 176240: Loss = 0.015659069642424583, lr = [5e-05] +[2024-05-25 20:14:46,055] - INFO: Epoch 1763/9999, Iter 176280: Loss = 0.01445817667990923, lr = [5e-05] +[2024-05-25 20:15:16,915] - INFO: Epoch 1764/9999, Iter 176320: Loss = 0.008378198370337486, lr = [5e-05] +[2024-05-25 20:15:44,075] - INFO: Epoch 1764/9999, Iter 176360: Loss = 0.020259426906704903, lr = [5e-05] +[2024-05-25 20:16:12,735] - INFO: Epoch 1765/9999, Iter 176400: Loss = 0.011718577705323696, lr = [5e-05] +[2024-05-25 20:16:40,091] - INFO: Epoch 1765/9999, Iter 176440: Loss = 0.00795792881399393, lr = [5e-05] +[2024-05-25 20:17:07,277] - INFO: Epoch 1765/9999, Iter 176480: Loss = 0.016977205872535706, lr = [5e-05] +[2024-05-25 20:17:20,578] - INFO: Evaluate at epoch 1765! +[2024-05-25 20:17:25,239] - INFO: Eval PSNR (max): 38.134 (1700) SSIM (max): 0.9614 (1750) +[2024-05-25 20:17:25,240] - INFO: Eval PSNR (current): 38.112 (1765) SSIM (current): 0.9612 (1765) +[2024-05-25 20:17:25,240] - INFO: Evaluation over. +[2024-05-25 20:17:46,182] - INFO: Epoch 1766/9999, Iter 176520: Loss = 0.017470983788371086, lr = [5e-05] +[2024-05-25 20:18:13,381] - INFO: Epoch 1766/9999, Iter 176560: Loss = 0.01180255226790905, lr = [5e-05] +[2024-05-25 20:18:42,056] - INFO: Epoch 1767/9999, Iter 176600: Loss = 0.007797511760145426, lr = [5e-05] +[2024-05-25 20:19:09,318] - INFO: Epoch 1767/9999, Iter 176640: Loss = 0.010618630796670914, lr = [5e-05] +[2024-05-25 20:19:36,562] - INFO: Epoch 1767/9999, Iter 176680: Loss = 0.010740245692431927, lr = [5e-05] +[2024-05-25 20:20:05,072] - INFO: Epoch 1768/9999, Iter 176720: Loss = 0.01286137755960226, lr = [5e-05] +[2024-05-25 20:20:32,304] - INFO: Epoch 1768/9999, Iter 176760: Loss = 0.009598307311534882, lr = [5e-05] +[2024-05-25 20:21:00,784] - INFO: Epoch 1769/9999, Iter 176800: Loss = 0.009916608221828938, lr = [5e-05] +[2024-05-25 20:21:28,037] - INFO: Epoch 1769/9999, Iter 176840: Loss = 0.00795165915042162, lr = [5e-05] +[2024-05-25 20:21:55,258] - INFO: Epoch 1769/9999, Iter 176880: Loss = 0.010990754701197147, lr = [5e-05] +[2024-05-25 20:22:24,020] - INFO: Epoch 1770/9999, Iter 176920: Loss = 0.015719152987003326, lr = [5e-05] +[2024-05-25 20:22:51,226] - INFO: Epoch 1770/9999, Iter 176960: Loss = 0.008797337301075459, lr = [5e-05] +[2024-05-25 20:23:18,148] - INFO: Evaluate at epoch 1770! +[2024-05-25 20:23:22,740] - INFO: Eval PSNR (max): 38.134 (1700) SSIM (max): 0.9614 (1750) +[2024-05-25 20:23:22,740] - INFO: Eval PSNR (current): 38.091 (1770) SSIM (current): 0.9613 (1770) +[2024-05-25 20:23:22,740] - INFO: Evaluation over. +[2024-05-25 20:23:29,326] - INFO: Epoch 1771/9999, Iter 177000: Loss = 0.010232606902718544, lr = [5e-05] +[2024-05-25 20:23:56,667] - INFO: Epoch 1771/9999, Iter 177040: Loss = 0.014567545615136623, lr = [5e-05] +[2024-05-25 20:24:23,871] - INFO: Epoch 1771/9999, Iter 177080: Loss = 0.012650988064706326, lr = [5e-05] +[2024-05-25 20:24:52,462] - INFO: Epoch 1772/9999, Iter 177120: Loss = 0.010024398565292358, lr = [5e-05] +[2024-05-25 20:25:19,696] - INFO: Epoch 1772/9999, Iter 177160: Loss = 0.006274811923503876, lr = [5e-05] +[2024-05-25 20:25:48,222] - INFO: Epoch 1773/9999, Iter 177200: Loss = 0.00939529575407505, lr = [5e-05] +[2024-05-25 20:26:15,505] - INFO: Epoch 1773/9999, Iter 177240: Loss = 0.011388116516172886, lr = [5e-05] +[2024-05-25 20:26:42,703] - INFO: Epoch 1773/9999, Iter 177280: Loss = 0.015974465757608414, lr = [5e-05] +[2024-05-25 20:27:11,531] - INFO: Epoch 1774/9999, Iter 177320: Loss = 0.008791928179562092, lr = [5e-05] +[2024-05-25 20:27:38,810] - INFO: Epoch 1774/9999, Iter 177360: Loss = 0.027263447642326355, lr = [5e-05] +[2024-05-25 20:28:07,285] - INFO: Epoch 1775/9999, Iter 177400: Loss = 0.016368309035897255, lr = [5e-05] +[2024-05-25 20:28:34,604] - INFO: Epoch 1775/9999, Iter 177440: Loss = 0.018539942800998688, lr = [5e-05] +[2024-05-25 20:29:01,853] - INFO: Epoch 1775/9999, Iter 177480: Loss = 0.007891254499554634, lr = [5e-05] +[2024-05-25 20:29:15,114] - INFO: Evaluate at epoch 1775! +[2024-05-25 20:29:19,851] - INFO: Eval PSNR (max): 38.134 (1700) SSIM (max): 0.9614 (1750) +[2024-05-25 20:29:19,852] - INFO: Eval PSNR (current): 38.088 (1775) SSIM (current): 0.9612 (1775) +[2024-05-25 20:29:19,852] - INFO: Evaluation over. +[2024-05-25 20:29:40,476] - INFO: Epoch 1776/9999, Iter 177520: Loss = 0.007186626084148884, lr = [5e-05] +[2024-05-25 20:30:07,688] - INFO: Epoch 1776/9999, Iter 177560: Loss = 0.007978181354701519, lr = [5e-05] +[2024-05-25 20:30:36,432] - INFO: Epoch 1777/9999, Iter 177600: Loss = 0.01818743906915188, lr = [5e-05] +[2024-05-25 20:31:03,727] - INFO: Epoch 1777/9999, Iter 177640: Loss = 0.01597740314900875, lr = [5e-05] +[2024-05-25 20:31:30,974] - INFO: Epoch 1777/9999, Iter 177680: Loss = 0.013244889676570892, lr = [5e-05] +[2024-05-25 20:31:59,763] - INFO: Epoch 1778/9999, Iter 177720: Loss = 0.011705616489052773, lr = [5e-05] +[2024-05-25 20:32:27,072] - INFO: Epoch 1778/9999, Iter 177760: Loss = 0.008851651102304459, lr = [5e-05] +[2024-05-25 20:32:55,562] - INFO: Epoch 1779/9999, Iter 177800: Loss = 0.007739761844277382, lr = [5e-05] +[2024-05-25 20:33:22,927] - INFO: Epoch 1779/9999, Iter 177840: Loss = 0.011575259268283844, lr = [5e-05] +[2024-05-25 20:33:50,107] - INFO: Epoch 1779/9999, Iter 177880: Loss = 0.011038475669920444, lr = [5e-05] +[2024-05-25 20:34:18,830] - INFO: Epoch 1780/9999, Iter 177920: Loss = 0.009236003272235394, lr = [5e-05] +[2024-05-25 20:34:46,002] - INFO: Epoch 1780/9999, Iter 177960: Loss = 0.01118079386651516, lr = [5e-05] +[2024-05-25 20:35:12,898] - INFO: Evaluate at epoch 1780! +[2024-05-25 20:35:17,465] - INFO: Eval PSNR (max): 38.134 (1700) SSIM (max): 0.9614 (1750) +[2024-05-25 20:35:17,465] - INFO: Eval PSNR (current): 38.106 (1780) SSIM (current): 0.9611 (1780) +[2024-05-25 20:35:17,465] - INFO: Evaluation over. +[2024-05-25 20:35:24,212] - INFO: Epoch 1781/9999, Iter 178000: Loss = 0.011575720272958279, lr = [5e-05] +[2024-05-25 20:35:51,496] - INFO: Epoch 1781/9999, Iter 178040: Loss = 0.01829090528190136, lr = [5e-05] +[2024-05-25 20:36:18,729] - INFO: Epoch 1781/9999, Iter 178080: Loss = 0.01649331860244274, lr = [5e-05] +[2024-05-25 20:36:47,659] - INFO: Epoch 1782/9999, Iter 178120: Loss = 0.010153369046747684, lr = [5e-05] +[2024-05-25 20:37:14,855] - INFO: Epoch 1782/9999, Iter 178160: Loss = 0.013660095632076263, lr = [5e-05] +[2024-05-25 20:37:43,491] - INFO: Epoch 1783/9999, Iter 178200: Loss = 0.018354123458266258, lr = [5e-05] +[2024-05-25 20:38:10,832] - INFO: Epoch 1783/9999, Iter 178240: Loss = 0.010665656067430973, lr = [5e-05] +[2024-05-25 20:38:38,078] - INFO: Epoch 1783/9999, Iter 178280: Loss = 0.025312066078186035, lr = [5e-05] +[2024-05-25 20:39:06,827] - INFO: Epoch 1784/9999, Iter 178320: Loss = 0.018260935321450233, lr = [5e-05] +[2024-05-25 20:39:34,074] - INFO: Epoch 1784/9999, Iter 178360: Loss = 0.02162724919617176, lr = [5e-05] +[2024-05-25 20:40:02,494] - INFO: Epoch 1785/9999, Iter 178400: Loss = 0.010259630158543587, lr = [5e-05] +[2024-05-25 20:40:29,828] - INFO: Epoch 1785/9999, Iter 178440: Loss = 0.025554167106747627, lr = [5e-05] +[2024-05-25 20:40:57,038] - INFO: Epoch 1785/9999, Iter 178480: Loss = 0.009836574085056782, lr = [5e-05] +[2024-05-25 20:41:10,349] - INFO: Evaluate at epoch 1785! +[2024-05-25 20:41:14,919] - INFO: Eval PSNR (max): 38.134 (1700) SSIM (max): 0.9614 (1750) +[2024-05-25 20:41:14,919] - INFO: Eval PSNR (current): 38.092 (1785) SSIM (current): 0.9612 (1785) +[2024-05-25 20:41:14,919] - INFO: Evaluation over. +[2024-05-25 20:41:35,571] - INFO: Epoch 1786/9999, Iter 178520: Loss = 0.00630010524764657, lr = [5e-05] +[2024-05-25 20:42:02,789] - INFO: Epoch 1786/9999, Iter 178560: Loss = 0.012680851854383945, lr = [5e-05] +[2024-05-25 20:42:31,278] - INFO: Epoch 1787/9999, Iter 178600: Loss = 0.02618328109383583, lr = [5e-05] +[2024-05-25 20:42:58,589] - INFO: Epoch 1787/9999, Iter 178640: Loss = 0.011099062860012054, lr = [5e-05] +[2024-05-25 20:43:25,802] - INFO: Epoch 1787/9999, Iter 178680: Loss = 0.013716314919292927, lr = [5e-05] +[2024-05-25 20:43:54,490] - INFO: Epoch 1788/9999, Iter 178720: Loss = 0.005877673160284758, lr = [5e-05] +[2024-05-25 20:44:21,715] - INFO: Epoch 1788/9999, Iter 178760: Loss = 0.01481262780725956, lr = [5e-05] +[2024-05-25 20:44:50,209] - INFO: Epoch 1789/9999, Iter 178800: Loss = 0.012943332083523273, lr = [5e-05] +[2024-05-25 20:45:17,495] - INFO: Epoch 1789/9999, Iter 178840: Loss = 0.011854566633701324, lr = [5e-05] +[2024-05-25 20:45:44,734] - INFO: Epoch 1789/9999, Iter 178880: Loss = 0.007232039235532284, lr = [5e-05] +[2024-05-25 20:46:13,454] - INFO: Epoch 1790/9999, Iter 178920: Loss = 0.015244263224303722, lr = [5e-05] +[2024-05-25 20:46:40,694] - INFO: Epoch 1790/9999, Iter 178960: Loss = 0.013136148452758789, lr = [5e-05] +[2024-05-25 20:47:07,617] - INFO: Evaluate at epoch 1790! +[2024-05-25 20:47:12,355] - INFO: Eval PSNR (max): 38.134 (1700) SSIM (max): 0.9614 (1750) +[2024-05-25 20:47:12,355] - INFO: Eval PSNR (current): 38.052 (1790) SSIM (current): 0.9609 (1790) +[2024-05-25 20:47:12,355] - INFO: Evaluation over. +[2024-05-25 20:47:19,176] - INFO: Epoch 1791/9999, Iter 179000: Loss = 0.012437539175152779, lr = [5e-05] +[2024-05-25 20:47:46,434] - INFO: Epoch 1791/9999, Iter 179040: Loss = 0.015379917807877064, lr = [5e-05] +[2024-05-25 20:48:13,666] - INFO: Epoch 1791/9999, Iter 179080: Loss = 0.010812441818416119, lr = [5e-05] +[2024-05-25 20:48:42,346] - INFO: Epoch 1792/9999, Iter 179120: Loss = 0.016494616866111755, lr = [5e-05] +[2024-05-25 20:49:09,580] - INFO: Epoch 1792/9999, Iter 179160: Loss = 0.008807908743619919, lr = [5e-05] +[2024-05-25 20:49:38,054] - INFO: Epoch 1793/9999, Iter 179200: Loss = 0.011219636537134647, lr = [5e-05] +[2024-05-25 20:50:05,317] - INFO: Epoch 1793/9999, Iter 179240: Loss = 0.009233164601027966, lr = [5e-05] +[2024-05-25 20:50:32,594] - INFO: Epoch 1793/9999, Iter 179280: Loss = 0.012652636505663395, lr = [5e-05] +[2024-05-25 20:51:01,286] - INFO: Epoch 1794/9999, Iter 179320: Loss = 0.012100744992494583, lr = [5e-05] +[2024-05-25 20:51:28,481] - INFO: Epoch 1794/9999, Iter 179360: Loss = 0.009788471274077892, lr = [5e-05] +[2024-05-25 20:51:57,220] - INFO: Epoch 1795/9999, Iter 179400: Loss = 0.01227479986846447, lr = [5e-05] +[2024-05-25 20:52:24,531] - INFO: Epoch 1795/9999, Iter 179440: Loss = 0.013582334853708744, lr = [5e-05] +[2024-05-25 20:52:51,754] - INFO: Epoch 1795/9999, Iter 179480: Loss = 0.01727905683219433, lr = [5e-05] +[2024-05-25 20:53:05,076] - INFO: Evaluate at epoch 1795! +[2024-05-25 20:53:09,657] - INFO: Eval PSNR (max): 38.134 (1700) SSIM (max): 0.9614 (1750) +[2024-05-25 20:53:09,657] - INFO: Eval PSNR (current): 38.066 (1795) SSIM (current): 0.9612 (1795) +[2024-05-25 20:53:09,658] - INFO: Evaluation over. +[2024-05-25 20:53:30,048] - INFO: Epoch 1796/9999, Iter 179520: Loss = 0.012400765903294086, lr = [5e-05] +[2024-05-25 20:53:57,310] - INFO: Epoch 1796/9999, Iter 179560: Loss = 0.008826913312077522, lr = [5e-05] +[2024-05-25 20:54:25,757] - INFO: Epoch 1797/9999, Iter 179600: Loss = 0.0148050831630826, lr = [5e-05] +[2024-05-25 20:54:52,950] - INFO: Epoch 1797/9999, Iter 179640: Loss = 0.01927979849278927, lr = [5e-05] +[2024-05-25 20:55:20,193] - INFO: Epoch 1797/9999, Iter 179680: Loss = 0.013829235918819904, lr = [5e-05] +[2024-05-25 20:55:48,967] - INFO: Epoch 1798/9999, Iter 179720: Loss = 0.016043445095419884, lr = [5e-05] +[2024-05-25 20:56:16,158] - INFO: Epoch 1798/9999, Iter 179760: Loss = 0.01671958714723587, lr = [5e-05] +[2024-05-25 20:56:44,815] - INFO: Epoch 1799/9999, Iter 179800: Loss = 0.01494704931974411, lr = [5e-05] +[2024-05-25 20:57:12,086] - INFO: Epoch 1799/9999, Iter 179840: Loss = 0.013580592349171638, lr = [5e-05] +[2024-05-25 20:57:39,332] - INFO: Epoch 1799/9999, Iter 179880: Loss = 0.009046684950590134, lr = [5e-05] +[2024-05-25 20:58:07,770] - INFO: Epoch 1800/9999, Iter 179920: Loss = 0.015977228060364723, lr = [5e-05] +[2024-05-25 20:58:35,018] - INFO: Epoch 1800/9999, Iter 179960: Loss = 0.013390232808887959, lr = [5e-05] +[2024-05-25 20:59:01,936] - INFO: Evaluate at epoch 1800! +[2024-05-25 20:59:06,536] - INFO: Eval PSNR (max): 38.134 (1700) SSIM (max): 0.9614 (1750) +[2024-05-25 20:59:06,536] - INFO: Eval PSNR (current): 38.129 (1800) SSIM (current): 0.9612 (1800) +[2024-05-25 20:59:06,536] - INFO: Evaluation over. +[2024-05-25 20:59:13,237] - INFO: Epoch 1801/9999, Iter 180000: Loss = 0.015429788269102573, lr = [5e-05] +[2024-05-25 20:59:40,526] - INFO: Epoch 1801/9999, Iter 180040: Loss = 0.010129997506737709, lr = [5e-05] +[2024-05-25 21:00:07,771] - INFO: Epoch 1801/9999, Iter 180080: Loss = 0.014823711477220058, lr = [5e-05] +[2024-05-25 21:00:36,423] - INFO: Epoch 1802/9999, Iter 180120: Loss = 0.01562603749334812, lr = [5e-05] +[2024-05-25 21:01:03,659] - INFO: Epoch 1802/9999, Iter 180160: Loss = 0.01621626690030098, lr = [5e-05] +[2024-05-25 21:01:32,238] - INFO: Epoch 1803/9999, Iter 180200: Loss = 0.009424270130693913, lr = [5e-05] +[2024-05-25 21:01:59,543] - INFO: Epoch 1803/9999, Iter 180240: Loss = 0.011369341053068638, lr = [5e-05] +[2024-05-25 21:02:26,753] - INFO: Epoch 1803/9999, Iter 180280: Loss = 0.011138792149722576, lr = [5e-05] +[2024-05-25 21:02:55,332] - INFO: Epoch 1804/9999, Iter 180320: Loss = 0.012341118417680264, lr = [5e-05] +[2024-05-25 21:03:22,513] - INFO: Epoch 1804/9999, Iter 180360: Loss = 0.013201447203755379, lr = [5e-05] +[2024-05-25 21:03:51,010] - INFO: Epoch 1805/9999, Iter 180400: Loss = 0.013001929968595505, lr = [5e-05] +[2024-05-25 21:04:18,370] - INFO: Epoch 1805/9999, Iter 180440: Loss = 0.012588441371917725, lr = [5e-05] +[2024-05-25 21:04:45,651] - INFO: Epoch 1805/9999, Iter 180480: Loss = 0.012479984201490879, lr = [5e-05] +[2024-05-25 21:04:58,930] - INFO: Evaluate at epoch 1805! +[2024-05-25 21:05:03,552] - INFO: Eval PSNR (max): 38.134 (1700) SSIM (max): 0.9614 (1750) +[2024-05-25 21:05:03,553] - INFO: Eval PSNR (current): 38.128 (1805) SSIM (current): 0.9613 (1805) +[2024-05-25 21:05:03,553] - INFO: Evaluation over. +[2024-05-25 21:05:23,946] - INFO: Epoch 1806/9999, Iter 180520: Loss = 0.0061845979653298855, lr = [5e-05] +[2024-05-25 21:05:51,081] - INFO: Epoch 1806/9999, Iter 180560: Loss = 0.012201780453324318, lr = [5e-05] +[2024-05-25 21:06:19,784] - INFO: Epoch 1807/9999, Iter 180600: Loss = 0.008952531963586807, lr = [5e-05] +[2024-05-25 21:06:47,072] - INFO: Epoch 1807/9999, Iter 180640: Loss = 0.013018595054745674, lr = [5e-05] +[2024-05-25 21:07:14,285] - INFO: Epoch 1807/9999, Iter 180680: Loss = 0.011908922344446182, lr = [5e-05] +[2024-05-25 21:07:43,019] - INFO: Epoch 1808/9999, Iter 180720: Loss = 0.017765190452337265, lr = [5e-05] +[2024-05-25 21:08:10,253] - INFO: Epoch 1808/9999, Iter 180760: Loss = 0.016474779695272446, lr = [5e-05] +[2024-05-25 21:08:38,974] - INFO: Epoch 1809/9999, Iter 180800: Loss = 0.011073417961597443, lr = [5e-05] +[2024-05-25 21:09:06,340] - INFO: Epoch 1809/9999, Iter 180840: Loss = 0.014269177801907063, lr = [5e-05] +[2024-05-25 21:09:33,599] - INFO: Epoch 1809/9999, Iter 180880: Loss = 0.01327277347445488, lr = [5e-05] +[2024-05-25 21:10:02,184] - INFO: Epoch 1810/9999, Iter 180920: Loss = 0.01647087000310421, lr = [5e-05] +[2024-05-25 21:10:29,348] - INFO: Epoch 1810/9999, Iter 180960: Loss = 0.011907604523003101, lr = [5e-05] +[2024-05-25 21:10:56,260] - INFO: Evaluate at epoch 1810! +[2024-05-25 21:11:00,935] - INFO: Eval PSNR (max): 38.134 (1700) SSIM (max): 0.9614 (1750) +[2024-05-25 21:11:00,936] - INFO: Eval PSNR (current): 38.122 (1810) SSIM (current): 0.9612 (1810) +[2024-05-25 21:11:00,936] - INFO: Evaluation over. +[2024-05-25 21:11:07,662] - INFO: Epoch 1811/9999, Iter 181000: Loss = 0.013062559068202972, lr = [5e-05] +[2024-05-25 21:11:34,960] - INFO: Epoch 1811/9999, Iter 181040: Loss = 0.010046237148344517, lr = [5e-05] +[2024-05-25 21:12:02,143] - INFO: Epoch 1811/9999, Iter 181080: Loss = 0.006269383244216442, lr = [5e-05] +[2024-05-25 21:12:30,894] - INFO: Epoch 1812/9999, Iter 181120: Loss = 0.00680137611925602, lr = [5e-05] +[2024-05-25 21:12:58,119] - INFO: Epoch 1812/9999, Iter 181160: Loss = 0.008687896654009819, lr = [5e-05] +[2024-05-25 21:13:26,717] - INFO: Epoch 1813/9999, Iter 181200: Loss = 0.008430222980678082, lr = [5e-05] +[2024-05-25 21:13:54,040] - INFO: Epoch 1813/9999, Iter 181240: Loss = 0.012094021774828434, lr = [5e-05] +[2024-05-25 21:14:21,254] - INFO: Epoch 1813/9999, Iter 181280: Loss = 0.007455762010067701, lr = [5e-05] +[2024-05-25 21:14:50,213] - INFO: Epoch 1814/9999, Iter 181320: Loss = 0.01999095268547535, lr = [5e-05] +[2024-05-25 21:15:17,465] - INFO: Epoch 1814/9999, Iter 181360: Loss = 0.015456033870577812, lr = [5e-05] +[2024-05-25 21:15:45,935] - INFO: Epoch 1815/9999, Iter 181400: Loss = 0.012185836210846901, lr = [5e-05] +[2024-05-25 21:16:13,189] - INFO: Epoch 1815/9999, Iter 181440: Loss = 0.01404649019241333, lr = [5e-05] +[2024-05-25 21:16:40,403] - INFO: Epoch 1815/9999, Iter 181480: Loss = 0.010721150785684586, lr = [5e-05] +[2024-05-25 21:16:53,711] - INFO: Evaluate at epoch 1815! +[2024-05-25 21:16:58,338] - INFO: Eval PSNR (max): 38.134 (1700) SSIM (max): 0.9614 (1750) +[2024-05-25 21:16:58,338] - INFO: Eval PSNR (current): 38.119 (1815) SSIM (current): 0.9613 (1815) +[2024-05-25 21:16:58,338] - INFO: Evaluation over. +[2024-05-25 21:17:18,635] - INFO: Epoch 1816/9999, Iter 181520: Loss = 0.011153963394463062, lr = [5e-05] +[2024-05-25 21:17:45,875] - INFO: Epoch 1816/9999, Iter 181560: Loss = 0.011122197844088078, lr = [5e-05] +[2024-05-25 21:18:14,630] - INFO: Epoch 1817/9999, Iter 181600: Loss = 0.011008077301084995, lr = [5e-05] +[2024-05-25 21:18:41,978] - INFO: Epoch 1817/9999, Iter 181640: Loss = 0.012764142826199532, lr = [5e-05] +[2024-05-25 21:19:09,184] - INFO: Epoch 1817/9999, Iter 181680: Loss = 0.0142223434522748, lr = [5e-05] +[2024-05-25 21:19:37,586] - INFO: Epoch 1818/9999, Iter 181720: Loss = 0.018231717869639397, lr = [5e-05] +[2024-05-25 21:20:04,790] - INFO: Epoch 1818/9999, Iter 181760: Loss = 0.023129520937800407, lr = [5e-05] +[2024-05-25 21:20:33,540] - INFO: Epoch 1819/9999, Iter 181800: Loss = 0.0092324772849679, lr = [5e-05] +[2024-05-25 21:21:00,875] - INFO: Epoch 1819/9999, Iter 181840: Loss = 0.01917392760515213, lr = [5e-05] +[2024-05-25 21:21:28,044] - INFO: Epoch 1819/9999, Iter 181880: Loss = 0.01191973127424717, lr = [5e-05] +[2024-05-25 21:21:56,618] - INFO: Epoch 1820/9999, Iter 181920: Loss = 0.011964322999119759, lr = [5e-05] +[2024-05-25 21:22:23,799] - INFO: Epoch 1820/9999, Iter 181960: Loss = 0.012596247717738152, lr = [5e-05] +[2024-05-25 21:22:50,750] - INFO: Evaluate at epoch 1820! +[2024-05-25 21:22:55,441] - INFO: Eval PSNR (max): 38.134 (1700) SSIM (max): 0.9614 (1750) +[2024-05-25 21:22:55,442] - INFO: Eval PSNR (current): 38.091 (1820) SSIM (current): 0.9612 (1820) +[2024-05-25 21:22:55,442] - INFO: Evaluation over. +[2024-05-25 21:23:02,281] - INFO: Epoch 1821/9999, Iter 182000: Loss = 0.01831371895968914, lr = [5e-05] +[2024-05-25 21:23:29,643] - INFO: Epoch 1821/9999, Iter 182040: Loss = 0.009054618887603283, lr = [5e-05] +[2024-05-25 21:23:56,834] - INFO: Epoch 1821/9999, Iter 182080: Loss = 0.011674854904413223, lr = [5e-05] +[2024-05-25 21:24:25,439] - INFO: Epoch 1822/9999, Iter 182120: Loss = 0.01111843902617693, lr = [5e-05] +[2024-05-25 21:24:52,649] - INFO: Epoch 1822/9999, Iter 182160: Loss = 0.009460550732910633, lr = [5e-05] +[2024-05-25 21:25:21,256] - INFO: Epoch 1823/9999, Iter 182200: Loss = 0.017383793368935585, lr = [5e-05] +[2024-05-25 21:25:48,581] - INFO: Epoch 1823/9999, Iter 182240: Loss = 0.009057850576937199, lr = [5e-05] +[2024-05-25 21:26:15,818] - INFO: Epoch 1823/9999, Iter 182280: Loss = 0.01627049222588539, lr = [5e-05] +[2024-05-25 21:26:44,487] - INFO: Epoch 1824/9999, Iter 182320: Loss = 0.009400474838912487, lr = [5e-05] +[2024-05-25 21:27:11,648] - INFO: Epoch 1824/9999, Iter 182360: Loss = 0.025648973882198334, lr = [5e-05] +[2024-05-25 21:27:40,408] - INFO: Epoch 1825/9999, Iter 182400: Loss = 0.012898586690425873, lr = [5e-05] +[2024-05-25 21:28:07,759] - INFO: Epoch 1825/9999, Iter 182440: Loss = 0.015504837036132812, lr = [5e-05] +[2024-05-25 21:28:34,936] - INFO: Epoch 1825/9999, Iter 182480: Loss = 0.008144753985106945, lr = [5e-05] +[2024-05-25 21:28:48,233] - INFO: Evaluate at epoch 1825! +[2024-05-25 21:28:58,489] - INFO: Eval PSNR (max): 38.138 (1825) SSIM (max): 0.9614 (1750) +[2024-05-25 21:28:58,489] - INFO: Eval PSNR (current): 38.138 (1825) SSIM (current): 0.9613 (1825) +[2024-05-25 21:28:58,489] - INFO: Evaluation over. +[2024-05-25 21:29:19,012] - INFO: Epoch 1826/9999, Iter 182520: Loss = 0.008818704634904861, lr = [5e-05] +[2024-05-25 21:29:46,185] - INFO: Epoch 1826/9999, Iter 182560: Loss = 0.012339706532657146, lr = [5e-05] +[2024-05-25 21:30:14,726] - INFO: Epoch 1827/9999, Iter 182600: Loss = 0.0071052429266273975, lr = [5e-05] +[2024-05-25 21:30:41,990] - INFO: Epoch 1827/9999, Iter 182640: Loss = 0.011696593835949898, lr = [5e-05] +[2024-05-25 21:31:09,238] - INFO: Epoch 1827/9999, Iter 182680: Loss = 0.013626419007778168, lr = [5e-05] +[2024-05-25 21:31:37,888] - INFO: Epoch 1828/9999, Iter 182720: Loss = 0.0097823366522789, lr = [5e-05] +[2024-05-25 21:32:05,110] - INFO: Epoch 1828/9999, Iter 182760: Loss = 0.007364341523498297, lr = [5e-05] +[2024-05-25 21:32:33,709] - INFO: Epoch 1829/9999, Iter 182800: Loss = 0.009938216768205166, lr = [5e-05] +[2024-05-25 21:33:01,087] - INFO: Epoch 1829/9999, Iter 182840: Loss = 0.011576356366276741, lr = [5e-05] +[2024-05-25 21:33:28,299] - INFO: Epoch 1829/9999, Iter 182880: Loss = 0.021022506058216095, lr = [5e-05] +[2024-05-25 21:33:57,005] - INFO: Epoch 1830/9999, Iter 182920: Loss = 0.021481191739439964, lr = [5e-05] +[2024-05-25 21:34:24,262] - INFO: Epoch 1830/9999, Iter 182960: Loss = 0.01909988559782505, lr = [5e-05] +[2024-05-25 21:34:51,173] - INFO: Evaluate at epoch 1830! +[2024-05-25 21:34:55,801] - INFO: Eval PSNR (max): 38.138 (1825) SSIM (max): 0.9614 (1750) +[2024-05-25 21:34:55,801] - INFO: Eval PSNR (current): 38.033 (1830) SSIM (current): 0.9611 (1830) +[2024-05-25 21:34:55,801] - INFO: Evaluation over. +[2024-05-25 21:35:02,624] - INFO: Epoch 1831/9999, Iter 183000: Loss = 0.010185642167925835, lr = [5e-05] +[2024-05-25 21:35:29,887] - INFO: Epoch 1831/9999, Iter 183040: Loss = 0.00818527489900589, lr = [5e-05] +[2024-05-25 21:35:57,155] - INFO: Epoch 1831/9999, Iter 183080: Loss = 0.012373946607112885, lr = [5e-05] +[2024-05-25 21:36:25,890] - INFO: Epoch 1832/9999, Iter 183120: Loss = 0.013370377011597157, lr = [5e-05] +[2024-05-25 21:36:53,098] - INFO: Epoch 1832/9999, Iter 183160: Loss = 0.0058924793265759945, lr = [5e-05] +[2024-05-25 21:37:21,769] - INFO: Epoch 1833/9999, Iter 183200: Loss = 0.012615669518709183, lr = [5e-05] +[2024-05-25 21:37:49,205] - INFO: Epoch 1833/9999, Iter 183240: Loss = 0.007503915578126907, lr = [5e-05] +[2024-05-25 21:38:16,338] - INFO: Epoch 1833/9999, Iter 183280: Loss = 0.011784541420638561, lr = [5e-05] +[2024-05-25 21:38:44,936] - INFO: Epoch 1834/9999, Iter 183320: Loss = 0.011181455105543137, lr = [5e-05] +[2024-05-25 21:39:12,159] - INFO: Epoch 1834/9999, Iter 183360: Loss = 0.01243435125797987, lr = [5e-05] +[2024-05-25 21:39:40,693] - INFO: Epoch 1835/9999, Iter 183400: Loss = 0.01926703006029129, lr = [5e-05] +[2024-05-25 21:40:07,999] - INFO: Epoch 1835/9999, Iter 183440: Loss = 0.017853617668151855, lr = [5e-05] +[2024-05-25 21:40:35,168] - INFO: Epoch 1835/9999, Iter 183480: Loss = 0.012677287682890892, lr = [5e-05] +[2024-05-25 21:40:48,494] - INFO: Evaluate at epoch 1835! +[2024-05-25 21:40:53,017] - INFO: Eval PSNR (max): 38.138 (1825) SSIM (max): 0.9614 (1750) +[2024-05-25 21:40:53,017] - INFO: Eval PSNR (current): 38.073 (1835) SSIM (current): 0.9612 (1835) +[2024-05-25 21:40:53,017] - INFO: Evaluation over. +[2024-05-25 21:41:13,465] - INFO: Epoch 1836/9999, Iter 183520: Loss = 0.014996747486293316, lr = [5e-05] +[2024-05-25 21:41:40,644] - INFO: Epoch 1836/9999, Iter 183560: Loss = 0.02204406075179577, lr = [5e-05] +[2024-05-25 21:42:09,158] - INFO: Epoch 1837/9999, Iter 183600: Loss = 0.006191376131027937, lr = [5e-05] +[2024-05-25 21:42:36,423] - INFO: Epoch 1837/9999, Iter 183640: Loss = 0.01890452951192856, lr = [5e-05] +[2024-05-25 21:43:03,620] - INFO: Epoch 1837/9999, Iter 183680: Loss = 0.007348239421844482, lr = [5e-05] +[2024-05-25 21:43:32,330] - INFO: Epoch 1838/9999, Iter 183720: Loss = 0.020167579874396324, lr = [5e-05] +[2024-05-25 21:43:59,583] - INFO: Epoch 1838/9999, Iter 183760: Loss = 0.007041798904538155, lr = [5e-05] +[2024-05-25 21:44:28,222] - INFO: Epoch 1839/9999, Iter 183800: Loss = 0.0049022589810192585, lr = [5e-05] +[2024-05-25 21:44:55,548] - INFO: Epoch 1839/9999, Iter 183840: Loss = 0.010317623615264893, lr = [5e-05] +[2024-05-25 21:45:22,756] - INFO: Epoch 1839/9999, Iter 183880: Loss = 0.009888258762657642, lr = [5e-05] +[2024-05-25 21:45:51,554] - INFO: Epoch 1840/9999, Iter 183920: Loss = 0.024742666631937027, lr = [5e-05] +[2024-05-25 21:46:18,758] - INFO: Epoch 1840/9999, Iter 183960: Loss = 0.01063399389386177, lr = [5e-05] +[2024-05-25 21:46:45,664] - INFO: Evaluate at epoch 1840! +[2024-05-25 21:46:50,316] - INFO: Eval PSNR (max): 38.138 (1825) SSIM (max): 0.9614 (1750) +[2024-05-25 21:46:50,316] - INFO: Eval PSNR (current): 38.031 (1840) SSIM (current): 0.9611 (1840) +[2024-05-25 21:46:50,316] - INFO: Evaluation over. +[2024-05-25 21:46:57,279] - INFO: Epoch 1841/9999, Iter 184000: Loss = 0.012399465776979923, lr = [5e-05] +[2024-05-25 21:47:24,547] - INFO: Epoch 1841/9999, Iter 184040: Loss = 0.009246732108294964, lr = [5e-05] +[2024-05-25 21:47:51,727] - INFO: Epoch 1841/9999, Iter 184080: Loss = 0.01070654857903719, lr = [5e-05] +[2024-05-25 21:48:20,306] - INFO: Epoch 1842/9999, Iter 184120: Loss = 0.010293793864548206, lr = [5e-05] +[2024-05-25 21:48:47,513] - INFO: Epoch 1842/9999, Iter 184160: Loss = 0.0124270124360919, lr = [5e-05] +[2024-05-25 21:49:16,229] - INFO: Epoch 1843/9999, Iter 184200: Loss = 0.018758142367005348, lr = [5e-05] +[2024-05-25 21:49:43,514] - INFO: Epoch 1843/9999, Iter 184240: Loss = 0.011876488104462624, lr = [5e-05] +[2024-05-25 21:50:10,705] - INFO: Epoch 1843/9999, Iter 184280: Loss = 0.007051935885101557, lr = [5e-05] +[2024-05-25 21:50:39,292] - INFO: Epoch 1844/9999, Iter 184320: Loss = 0.014108260162174702, lr = [5e-05] +[2024-05-25 21:51:06,539] - INFO: Epoch 1844/9999, Iter 184360: Loss = 0.010730445384979248, lr = [5e-05] +[2024-05-25 21:51:34,933] - INFO: Epoch 1845/9999, Iter 184400: Loss = 0.015811311081051826, lr = [5e-05] +[2024-05-25 21:52:02,263] - INFO: Epoch 1845/9999, Iter 184440: Loss = 0.022802993655204773, lr = [5e-05] +[2024-05-25 21:52:29,508] - INFO: Epoch 1845/9999, Iter 184480: Loss = 0.012051367200911045, lr = [5e-05] +[2024-05-25 21:52:42,782] - INFO: Evaluate at epoch 1845! +[2024-05-25 21:52:47,586] - INFO: Eval PSNR (max): 38.138 (1825) SSIM (max): 0.9614 (1750) +[2024-05-25 21:52:47,586] - INFO: Eval PSNR (current): 38.101 (1845) SSIM (current): 0.9612 (1845) +[2024-05-25 21:52:47,586] - INFO: Evaluation over. +[2024-05-25 21:53:08,040] - INFO: Epoch 1846/9999, Iter 184520: Loss = 0.018584247678518295, lr = [5e-05] +[2024-05-25 21:53:35,289] - INFO: Epoch 1846/9999, Iter 184560: Loss = 0.01145129930227995, lr = [5e-05] +[2024-05-25 21:54:03,929] - INFO: Epoch 1847/9999, Iter 184600: Loss = 0.013508847914636135, lr = [5e-05] +[2024-05-25 21:54:31,201] - INFO: Epoch 1847/9999, Iter 184640: Loss = 0.007086219731718302, lr = [5e-05] +[2024-05-25 21:54:58,464] - INFO: Epoch 1847/9999, Iter 184680: Loss = 0.01871006190776825, lr = [5e-05] +[2024-05-25 21:55:27,070] - INFO: Epoch 1848/9999, Iter 184720: Loss = 0.014849417842924595, lr = [5e-05] +[2024-05-25 21:55:54,287] - INFO: Epoch 1848/9999, Iter 184760: Loss = 0.015703978016972542, lr = [5e-05] +[2024-05-25 21:56:22,624] - INFO: Epoch 1849/9999, Iter 184800: Loss = 0.009504278190433979, lr = [5e-05] +[2024-05-25 21:56:49,944] - INFO: Epoch 1849/9999, Iter 184840: Loss = 0.01580335572361946, lr = [5e-05] +[2024-05-25 21:57:17,141] - INFO: Epoch 1849/9999, Iter 184880: Loss = 0.010390257462859154, lr = [5e-05] +[2024-05-25 21:57:45,774] - INFO: Epoch 1850/9999, Iter 184920: Loss = 0.01829894259572029, lr = [5e-05] +[2024-05-25 21:58:13,001] - INFO: Epoch 1850/9999, Iter 184960: Loss = 0.014980660751461983, lr = [5e-05] +[2024-05-25 21:58:39,930] - INFO: Evaluate at epoch 1850! +[2024-05-25 21:58:44,493] - INFO: Eval PSNR (max): 38.138 (1825) SSIM (max): 0.9614 (1750) +[2024-05-25 21:58:44,493] - INFO: Eval PSNR (current): 38.110 (1850) SSIM (current): 0.9613 (1850) +[2024-05-25 21:58:44,493] - INFO: Evaluation over. +[2024-05-25 21:58:51,337] - INFO: Epoch 1851/9999, Iter 185000: Loss = 0.009786735288798809, lr = [5e-05] +[2024-05-25 21:59:18,629] - INFO: Epoch 1851/9999, Iter 185040: Loss = 0.007814465090632439, lr = [5e-05] +[2024-05-25 21:59:45,883] - INFO: Epoch 1851/9999, Iter 185080: Loss = 0.013432604260742664, lr = [5e-05] +[2024-05-25 22:00:14,527] - INFO: Epoch 1852/9999, Iter 185120: Loss = 0.01751977950334549, lr = [5e-05] +[2024-05-25 22:00:41,697] - INFO: Epoch 1852/9999, Iter 185160: Loss = 0.008437580429017544, lr = [5e-05] +[2024-05-25 22:01:10,152] - INFO: Epoch 1853/9999, Iter 185200: Loss = 0.015953591093420982, lr = [5e-05] +[2024-05-25 22:01:37,551] - INFO: Epoch 1853/9999, Iter 185240: Loss = 0.008465167135000229, lr = [5e-05] +[2024-05-25 22:02:04,729] - INFO: Epoch 1853/9999, Iter 185280: Loss = 0.014291071332991123, lr = [5e-05] +[2024-05-25 22:02:33,528] - INFO: Epoch 1854/9999, Iter 185320: Loss = 0.012871623039245605, lr = [5e-05] +[2024-05-25 22:03:00,743] - INFO: Epoch 1854/9999, Iter 185360: Loss = 0.009745107032358646, lr = [5e-05] +[2024-05-25 22:03:29,412] - INFO: Epoch 1855/9999, Iter 185400: Loss = 0.00738429045304656, lr = [5e-05] +[2024-05-25 22:03:56,726] - INFO: Epoch 1855/9999, Iter 185440: Loss = 0.010767548345029354, lr = [5e-05] +[2024-05-25 22:04:23,886] - INFO: Epoch 1855/9999, Iter 185480: Loss = 0.012016983702778816, lr = [5e-05] +[2024-05-25 22:04:37,180] - INFO: Evaluate at epoch 1855! +[2024-05-25 22:04:47,585] - INFO: Eval PSNR (max): 38.142 (1855) SSIM (max): 0.9614 (1750) +[2024-05-25 22:04:47,586] - INFO: Eval PSNR (current): 38.142 (1855) SSIM (current): 0.9613 (1855) +[2024-05-25 22:04:47,586] - INFO: Evaluation over. +[2024-05-25 22:05:08,045] - INFO: Epoch 1856/9999, Iter 185520: Loss = 0.007393202744424343, lr = [5e-05] +[2024-05-25 22:05:35,228] - INFO: Epoch 1856/9999, Iter 185560: Loss = 0.012780489400029182, lr = [5e-05] +[2024-05-25 22:06:03,928] - INFO: Epoch 1857/9999, Iter 185600: Loss = 0.011220688931643963, lr = [5e-05] +[2024-05-25 22:06:31,244] - INFO: Epoch 1857/9999, Iter 185640: Loss = 0.007959523238241673, lr = [5e-05] +[2024-05-25 22:06:58,532] - INFO: Epoch 1857/9999, Iter 185680: Loss = 0.013124785386025906, lr = [5e-05] +[2024-05-25 22:07:27,193] - INFO: Epoch 1858/9999, Iter 185720: Loss = 0.02023913897573948, lr = [5e-05] +[2024-05-25 22:07:54,422] - INFO: Epoch 1858/9999, Iter 185760: Loss = 0.009800942614674568, lr = [5e-05] +[2024-05-25 22:08:22,986] - INFO: Epoch 1859/9999, Iter 185800: Loss = 0.005713353399187326, lr = [5e-05] +[2024-05-25 22:08:50,291] - INFO: Epoch 1859/9999, Iter 185840: Loss = 0.017910871654748917, lr = [5e-05] +[2024-05-25 22:09:17,562] - INFO: Epoch 1859/9999, Iter 185880: Loss = 0.015996800735592842, lr = [5e-05] +[2024-05-25 22:09:46,316] - INFO: Epoch 1860/9999, Iter 185920: Loss = 0.008876847103238106, lr = [5e-05] +[2024-05-25 22:10:13,524] - INFO: Epoch 1860/9999, Iter 185960: Loss = 0.015064757317304611, lr = [5e-05] +[2024-05-25 22:10:40,503] - INFO: Evaluate at epoch 1860! +[2024-05-25 22:10:45,014] - INFO: Eval PSNR (max): 38.142 (1855) SSIM (max): 0.9614 (1750) +[2024-05-25 22:10:45,014] - INFO: Eval PSNR (current): 38.086 (1860) SSIM (current): 0.9611 (1860) +[2024-05-25 22:10:45,014] - INFO: Evaluation over. +[2024-05-25 22:10:51,786] - INFO: Epoch 1861/9999, Iter 186000: Loss = 0.015767903998494148, lr = [5e-05] +[2024-05-25 22:11:19,191] - INFO: Epoch 1861/9999, Iter 186040: Loss = 0.013175754807889462, lr = [5e-05] +[2024-05-25 22:11:46,409] - INFO: Epoch 1861/9999, Iter 186080: Loss = 0.013501445762813091, lr = [5e-05] +[2024-05-25 22:12:15,082] - INFO: Epoch 1862/9999, Iter 186120: Loss = 0.010227717459201813, lr = [5e-05] +[2024-05-25 22:12:42,319] - INFO: Epoch 1862/9999, Iter 186160: Loss = 0.00943162851035595, lr = [5e-05] +[2024-05-25 22:13:10,840] - INFO: Epoch 1863/9999, Iter 186200: Loss = 0.010168887674808502, lr = [5e-05] +[2024-05-25 22:13:38,105] - INFO: Epoch 1863/9999, Iter 186240: Loss = 0.008784548379480839, lr = [5e-05] +[2024-05-25 22:14:05,299] - INFO: Epoch 1863/9999, Iter 186280: Loss = 0.011299175210297108, lr = [5e-05] +[2024-05-25 22:14:34,056] - INFO: Epoch 1864/9999, Iter 186320: Loss = 0.013503254391252995, lr = [5e-05] +[2024-05-25 22:15:01,267] - INFO: Epoch 1864/9999, Iter 186360: Loss = 0.01211998239159584, lr = [5e-05] +[2024-05-25 22:15:29,751] - INFO: Epoch 1865/9999, Iter 186400: Loss = 0.009936436079442501, lr = [5e-05] +[2024-05-25 22:15:57,047] - INFO: Epoch 1865/9999, Iter 186440: Loss = 0.012791609391570091, lr = [5e-05] +[2024-05-25 22:16:24,315] - INFO: Epoch 1865/9999, Iter 186480: Loss = 0.014599579386413097, lr = [5e-05] +[2024-05-25 22:16:37,585] - INFO: Evaluate at epoch 1865! +[2024-05-25 22:16:42,107] - INFO: Eval PSNR (max): 38.142 (1855) SSIM (max): 0.9614 (1750) +[2024-05-25 22:16:42,107] - INFO: Eval PSNR (current): 38.141 (1865) SSIM (current): 0.9613 (1865) +[2024-05-25 22:16:42,107] - INFO: Evaluation over. +[2024-05-25 22:17:02,699] - INFO: Epoch 1866/9999, Iter 186520: Loss = 0.02052365057170391, lr = [5e-05] +[2024-05-25 22:17:29,860] - INFO: Epoch 1866/9999, Iter 186560: Loss = 0.01259737741202116, lr = [5e-05] +[2024-05-25 22:17:58,413] - INFO: Epoch 1867/9999, Iter 186600: Loss = 0.009691568091511726, lr = [5e-05] +[2024-05-25 22:18:25,664] - INFO: Epoch 1867/9999, Iter 186640: Loss = 0.013216317631304264, lr = [5e-05] +[2024-05-25 22:18:52,843] - INFO: Epoch 1867/9999, Iter 186680: Loss = 0.01219435315579176, lr = [5e-05] +[2024-05-25 22:19:21,480] - INFO: Epoch 1868/9999, Iter 186720: Loss = 0.015254097990691662, lr = [5e-05] +[2024-05-25 22:19:48,690] - INFO: Epoch 1868/9999, Iter 186760: Loss = 0.00997292809188366, lr = [5e-05] +[2024-05-25 22:20:17,205] - INFO: Epoch 1869/9999, Iter 186800: Loss = 0.012194613926112652, lr = [5e-05] +[2024-05-25 22:20:44,565] - INFO: Epoch 1869/9999, Iter 186840: Loss = 0.013979563489556313, lr = [5e-05] +[2024-05-25 22:21:11,701] - INFO: Epoch 1869/9999, Iter 186880: Loss = 0.011487080715596676, lr = [5e-05] +[2024-05-25 22:21:40,372] - INFO: Epoch 1870/9999, Iter 186920: Loss = 0.010195840150117874, lr = [5e-05] +[2024-05-25 22:22:07,519] - INFO: Epoch 1870/9999, Iter 186960: Loss = 0.011141370981931686, lr = [5e-05] +[2024-05-25 22:22:34,445] - INFO: Evaluate at epoch 1870! +[2024-05-25 22:22:38,972] - INFO: Eval PSNR (max): 38.142 (1855) SSIM (max): 0.9614 (1750) +[2024-05-25 22:22:38,972] - INFO: Eval PSNR (current): 38.116 (1870) SSIM (current): 0.9613 (1870) +[2024-05-25 22:22:38,972] - INFO: Evaluation over. +[2024-05-25 22:22:45,882] - INFO: Epoch 1871/9999, Iter 187000: Loss = 0.009378232061862946, lr = [5e-05] +[2024-05-25 22:23:13,142] - INFO: Epoch 1871/9999, Iter 187040: Loss = 0.009700862690806389, lr = [5e-05] +[2024-05-25 22:23:40,345] - INFO: Epoch 1871/9999, Iter 187080: Loss = 0.011255412362515926, lr = [5e-05] +[2024-05-25 22:24:09,329] - INFO: Epoch 1872/9999, Iter 187120: Loss = 0.014092708006501198, lr = [5e-05] +[2024-05-25 22:24:36,512] - INFO: Epoch 1872/9999, Iter 187160: Loss = 0.00799441710114479, lr = [5e-05] +[2024-05-25 22:25:05,157] - INFO: Epoch 1873/9999, Iter 187200: Loss = 0.01903678849339485, lr = [5e-05] +[2024-05-25 22:25:32,608] - INFO: Epoch 1873/9999, Iter 187240: Loss = 0.013306672684848309, lr = [5e-05] +[2024-05-25 22:25:59,790] - INFO: Epoch 1873/9999, Iter 187280: Loss = 0.018162507563829422, lr = [5e-05] +[2024-05-25 22:26:28,422] - INFO: Epoch 1874/9999, Iter 187320: Loss = 0.013298749923706055, lr = [5e-05] +[2024-05-25 22:26:55,623] - INFO: Epoch 1874/9999, Iter 187360: Loss = 0.01739897020161152, lr = [5e-05] +[2024-05-25 22:27:24,109] - INFO: Epoch 1875/9999, Iter 187400: Loss = 0.01652310974895954, lr = [5e-05] +[2024-05-25 22:27:51,387] - INFO: Epoch 1875/9999, Iter 187440: Loss = 0.016127655282616615, lr = [5e-05] +[2024-05-25 22:28:18,607] - INFO: Epoch 1875/9999, Iter 187480: Loss = 0.01255946233868599, lr = [5e-05] +[2024-05-25 22:28:31,872] - INFO: Evaluate at epoch 1875! +[2024-05-25 22:28:36,583] - INFO: Eval PSNR (max): 38.142 (1855) SSIM (max): 0.9614 (1750) +[2024-05-25 22:28:36,583] - INFO: Eval PSNR (current): 38.088 (1875) SSIM (current): 0.9613 (1875) +[2024-05-25 22:28:36,583] - INFO: Evaluation over. +[2024-05-25 22:28:57,016] - INFO: Epoch 1876/9999, Iter 187520: Loss = 0.01921861432492733, lr = [5e-05] +[2024-05-25 22:29:24,181] - INFO: Epoch 1876/9999, Iter 187560: Loss = 0.012519815936684608, lr = [5e-05] +[2024-05-25 22:29:52,695] - INFO: Epoch 1877/9999, Iter 187600: Loss = 0.005798136815428734, lr = [5e-05] +[2024-05-25 22:30:19,986] - INFO: Epoch 1877/9999, Iter 187640: Loss = 0.006713717244565487, lr = [5e-05] +[2024-05-25 22:30:47,257] - INFO: Epoch 1877/9999, Iter 187680: Loss = 0.0141854677349329, lr = [5e-05] +[2024-05-25 22:31:15,862] - INFO: Epoch 1878/9999, Iter 187720: Loss = 0.008124752901494503, lr = [5e-05] +[2024-05-25 22:31:43,082] - INFO: Epoch 1878/9999, Iter 187760: Loss = 0.01625773310661316, lr = [5e-05] +[2024-05-25 22:32:11,858] - INFO: Epoch 1879/9999, Iter 187800: Loss = 0.011675320565700531, lr = [5e-05] +[2024-05-25 22:32:39,248] - INFO: Epoch 1879/9999, Iter 187840: Loss = 0.0085635706782341, lr = [5e-05] +[2024-05-25 22:33:06,484] - INFO: Epoch 1879/9999, Iter 187880: Loss = 0.02014242671430111, lr = [5e-05] +[2024-05-25 22:33:35,169] - INFO: Epoch 1880/9999, Iter 187920: Loss = 0.01425953209400177, lr = [5e-05] +[2024-05-25 22:34:02,394] - INFO: Epoch 1880/9999, Iter 187960: Loss = 0.011232474818825722, lr = [5e-05] +[2024-05-25 22:34:29,294] - INFO: Evaluate at epoch 1880! +[2024-05-25 22:34:33,873] - INFO: Eval PSNR (max): 38.142 (1855) SSIM (max): 0.9614 (1750) +[2024-05-25 22:34:33,873] - INFO: Eval PSNR (current): 38.087 (1880) SSIM (current): 0.9612 (1880) +[2024-05-25 22:34:33,873] - INFO: Evaluation over. +[2024-05-25 22:34:40,817] - INFO: Epoch 1881/9999, Iter 188000: Loss = 0.016855141147971153, lr = [5e-05] +[2024-05-25 22:35:08,254] - INFO: Epoch 1881/9999, Iter 188040: Loss = 0.007751597557216883, lr = [5e-05] +[2024-05-25 22:35:35,477] - INFO: Epoch 1881/9999, Iter 188080: Loss = 0.010714495554566383, lr = [5e-05] +[2024-05-25 22:36:04,051] - INFO: Epoch 1882/9999, Iter 188120: Loss = 0.007926520891487598, lr = [5e-05] +[2024-05-25 22:36:31,337] - INFO: Epoch 1882/9999, Iter 188160: Loss = 0.019708139821887016, lr = [5e-05] +[2024-05-25 22:36:59,852] - INFO: Epoch 1883/9999, Iter 188200: Loss = 0.014753264375030994, lr = [5e-05] +[2024-05-25 22:37:27,299] - INFO: Epoch 1883/9999, Iter 188240: Loss = 0.027979299426078796, lr = [5e-05] +[2024-05-25 22:37:54,514] - INFO: Epoch 1883/9999, Iter 188280: Loss = 0.012281705625355244, lr = [5e-05] +[2024-05-25 22:38:23,042] - INFO: Epoch 1884/9999, Iter 188320: Loss = 0.02932904101908207, lr = [5e-05] +[2024-05-25 22:38:50,241] - INFO: Epoch 1884/9999, Iter 188360: Loss = 0.01415231078863144, lr = [5e-05] +[2024-05-25 22:39:18,926] - INFO: Epoch 1885/9999, Iter 188400: Loss = 0.013143093325197697, lr = [5e-05] +[2024-05-25 22:39:46,250] - INFO: Epoch 1885/9999, Iter 188440: Loss = 0.014796614646911621, lr = [5e-05] +[2024-05-25 22:40:13,445] - INFO: Epoch 1885/9999, Iter 188480: Loss = 0.011812567710876465, lr = [5e-05] +[2024-05-25 22:40:26,732] - INFO: Evaluate at epoch 1885! +[2024-05-25 22:40:31,366] - INFO: Eval PSNR (max): 38.142 (1855) SSIM (max): 0.9614 (1750) +[2024-05-25 22:40:31,367] - INFO: Eval PSNR (current): 38.099 (1885) SSIM (current): 0.9611 (1885) +[2024-05-25 22:40:31,367] - INFO: Evaluation over. +[2024-05-25 22:40:51,735] - INFO: Epoch 1886/9999, Iter 188520: Loss = 0.009909666143357754, lr = [5e-05] +[2024-05-25 22:41:18,939] - INFO: Epoch 1886/9999, Iter 188560: Loss = 0.008020464330911636, lr = [5e-05] +[2024-05-25 22:41:47,537] - INFO: Epoch 1887/9999, Iter 188600: Loss = 0.005411388352513313, lr = [5e-05] +[2024-05-25 22:42:14,895] - INFO: Epoch 1887/9999, Iter 188640: Loss = 0.007714449428021908, lr = [5e-05] +[2024-05-25 22:42:42,103] - INFO: Epoch 1887/9999, Iter 188680: Loss = 0.006034073419868946, lr = [5e-05] +[2024-05-25 22:43:10,681] - INFO: Epoch 1888/9999, Iter 188720: Loss = 0.01066205371171236, lr = [5e-05] +[2024-05-25 22:43:37,930] - INFO: Epoch 1888/9999, Iter 188760: Loss = 0.011417915113270283, lr = [5e-05] +[2024-05-25 22:44:06,662] - INFO: Epoch 1889/9999, Iter 188800: Loss = 0.029022570699453354, lr = [5e-05] +[2024-05-25 22:44:33,960] - INFO: Epoch 1889/9999, Iter 188840: Loss = 0.008698607794940472, lr = [5e-05] +[2024-05-25 22:45:01,113] - INFO: Epoch 1889/9999, Iter 188880: Loss = 0.009868321940302849, lr = [5e-05] +[2024-05-25 22:45:29,802] - INFO: Epoch 1890/9999, Iter 188920: Loss = 0.00443011149764061, lr = [5e-05] +[2024-05-25 22:45:56,998] - INFO: Epoch 1890/9999, Iter 188960: Loss = 0.02408677712082863, lr = [5e-05] +[2024-05-25 22:46:23,937] - INFO: Evaluate at epoch 1890! +[2024-05-25 22:46:28,520] - INFO: Eval PSNR (max): 38.142 (1855) SSIM (max): 0.9614 (1750) +[2024-05-25 22:46:28,520] - INFO: Eval PSNR (current): 38.091 (1890) SSIM (current): 0.9612 (1890) +[2024-05-25 22:46:28,520] - INFO: Evaluation over. +[2024-05-25 22:46:35,320] - INFO: Epoch 1891/9999, Iter 189000: Loss = 0.008046776987612247, lr = [5e-05] +[2024-05-25 22:47:02,615] - INFO: Epoch 1891/9999, Iter 189040: Loss = 0.011101090349256992, lr = [5e-05] +[2024-05-25 22:47:29,834] - INFO: Epoch 1891/9999, Iter 189080: Loss = 0.02073337510228157, lr = [5e-05] +[2024-05-25 22:47:58,595] - INFO: Epoch 1892/9999, Iter 189120: Loss = 0.010673102922737598, lr = [5e-05] +[2024-05-25 22:48:25,821] - INFO: Epoch 1892/9999, Iter 189160: Loss = 0.024770816788077354, lr = [5e-05] +[2024-05-25 22:48:54,449] - INFO: Epoch 1893/9999, Iter 189200: Loss = 0.01565246656537056, lr = [5e-05] +[2024-05-25 22:49:21,767] - INFO: Epoch 1893/9999, Iter 189240: Loss = 0.009988767094910145, lr = [5e-05] +[2024-05-25 22:49:48,986] - INFO: Epoch 1893/9999, Iter 189280: Loss = 0.01274178083986044, lr = [5e-05] +[2024-05-25 22:50:17,871] - INFO: Epoch 1894/9999, Iter 189320: Loss = 0.011972513981163502, lr = [5e-05] +[2024-05-25 22:50:45,110] - INFO: Epoch 1894/9999, Iter 189360: Loss = 0.015822788700461388, lr = [5e-05] +[2024-05-25 22:51:13,462] - INFO: Epoch 1895/9999, Iter 189400: Loss = 0.010297623462975025, lr = [5e-05] +[2024-05-25 22:51:40,760] - INFO: Epoch 1895/9999, Iter 189440: Loss = 0.016321144998073578, lr = [5e-05] +[2024-05-25 22:52:08,011] - INFO: Epoch 1895/9999, Iter 189480: Loss = 0.012354504317045212, lr = [5e-05] +[2024-05-25 22:52:21,485] - INFO: Evaluate at epoch 1895! +[2024-05-25 22:52:25,950] - INFO: Eval PSNR (max): 38.142 (1855) SSIM (max): 0.9614 (1750) +[2024-05-25 22:52:25,950] - INFO: Eval PSNR (current): 38.104 (1895) SSIM (current): 0.9612 (1895) +[2024-05-25 22:52:25,950] - INFO: Evaluation over. +[2024-05-25 22:52:46,722] - INFO: Epoch 1896/9999, Iter 189520: Loss = 0.01370131317526102, lr = [5e-05] +[2024-05-25 22:53:14,035] - INFO: Epoch 1896/9999, Iter 189560: Loss = 0.01429719291627407, lr = [5e-05] +[2024-05-25 22:53:42,678] - INFO: Epoch 1897/9999, Iter 189600: Loss = 0.016745146363973618, lr = [5e-05] +[2024-05-25 22:54:09,973] - INFO: Epoch 1897/9999, Iter 189640: Loss = 0.011230027303099632, lr = [5e-05] +[2024-05-25 22:54:37,246] - INFO: Epoch 1897/9999, Iter 189680: Loss = 0.011894338764250278, lr = [5e-05] +[2024-05-25 22:55:06,106] - INFO: Epoch 1898/9999, Iter 189720: Loss = 0.010793437249958515, lr = [5e-05] +[2024-05-25 22:55:33,332] - INFO: Epoch 1898/9999, Iter 189760: Loss = 0.012937634252011776, lr = [5e-05] +[2024-05-25 22:56:01,965] - INFO: Epoch 1899/9999, Iter 189800: Loss = 0.01566189154982567, lr = [5e-05] +[2024-05-25 22:56:29,291] - INFO: Epoch 1899/9999, Iter 189840: Loss = 0.011722490191459656, lr = [5e-05] +[2024-05-25 22:56:56,490] - INFO: Epoch 1899/9999, Iter 189880: Loss = 0.013250792399048805, lr = [5e-05] +[2024-05-25 22:57:25,107] - INFO: Epoch 1900/9999, Iter 189920: Loss = 0.014292032457888126, lr = [5e-05] +[2024-05-25 22:57:52,309] - INFO: Epoch 1900/9999, Iter 189960: Loss = 0.006757358089089394, lr = [5e-05] +[2024-05-25 22:58:19,183] - INFO: Evaluate at epoch 1900! +[2024-05-25 22:58:23,740] - INFO: Eval PSNR (max): 38.142 (1855) SSIM (max): 0.9614 (1750) +[2024-05-25 22:58:23,740] - INFO: Eval PSNR (current): 38.095 (1900) SSIM (current): 0.9612 (1900) +[2024-05-25 22:58:23,740] - INFO: Evaluation over. +[2024-05-25 22:58:30,393] - INFO: Epoch 1901/9999, Iter 190000: Loss = 0.015543030574917793, lr = [5e-05] +[2024-05-25 22:58:57,704] - INFO: Epoch 1901/9999, Iter 190040: Loss = 0.0070078629069030285, lr = [5e-05] +[2024-05-25 22:59:24,979] - INFO: Epoch 1901/9999, Iter 190080: Loss = 0.008762858808040619, lr = [5e-05] +[2024-05-25 22:59:53,699] - INFO: Epoch 1902/9999, Iter 190120: Loss = 0.008656833320856094, lr = [5e-05] +[2024-05-25 23:00:20,946] - INFO: Epoch 1902/9999, Iter 190160: Loss = 0.013667271472513676, lr = [5e-05] +[2024-05-25 23:00:49,544] - INFO: Epoch 1903/9999, Iter 190200: Loss = 0.004321586340665817, lr = [5e-05] +[2024-05-25 23:01:16,897] - INFO: Epoch 1903/9999, Iter 190240: Loss = 0.01303198840469122, lr = [5e-05] +[2024-05-25 23:01:44,104] - INFO: Epoch 1903/9999, Iter 190280: Loss = 0.016348980367183685, lr = [5e-05] +[2024-05-25 23:02:12,648] - INFO: Epoch 1904/9999, Iter 190320: Loss = 0.008769677951931953, lr = [5e-05] +[2024-05-25 23:02:39,823] - INFO: Epoch 1904/9999, Iter 190360: Loss = 0.010711551643908024, lr = [5e-05] +[2024-05-25 23:03:08,243] - INFO: Epoch 1905/9999, Iter 190400: Loss = 0.011003666557371616, lr = [5e-05] +[2024-05-25 23:03:35,562] - INFO: Epoch 1905/9999, Iter 190440: Loss = 0.027228180319070816, lr = [5e-05] +[2024-05-25 23:04:02,832] - INFO: Epoch 1905/9999, Iter 190480: Loss = 0.009946238249540329, lr = [5e-05] +[2024-05-25 23:04:16,144] - INFO: Evaluate at epoch 1905! +[2024-05-25 23:04:20,829] - INFO: Eval PSNR (max): 38.142 (1855) SSIM (max): 0.9614 (1750) +[2024-05-25 23:04:20,830] - INFO: Eval PSNR (current): 38.110 (1905) SSIM (current): 0.9613 (1905) +[2024-05-25 23:04:20,830] - INFO: Evaluation over. +[2024-05-25 23:04:41,203] - INFO: Epoch 1906/9999, Iter 190520: Loss = 0.017107274383306503, lr = [5e-05] +[2024-05-25 23:05:08,402] - INFO: Epoch 1906/9999, Iter 190560: Loss = 0.018036292865872383, lr = [5e-05] +[2024-05-25 23:05:36,925] - INFO: Epoch 1907/9999, Iter 190600: Loss = 0.008849802426993847, lr = [5e-05] +[2024-05-25 23:06:04,298] - INFO: Epoch 1907/9999, Iter 190640: Loss = 0.009744979441165924, lr = [5e-05] +[2024-05-25 23:06:31,529] - INFO: Epoch 1907/9999, Iter 190680: Loss = 0.013642632402479649, lr = [5e-05] +[2024-05-25 23:07:00,114] - INFO: Epoch 1908/9999, Iter 190720: Loss = 0.01182058360427618, lr = [5e-05] +[2024-05-25 23:07:27,312] - INFO: Epoch 1908/9999, Iter 190760: Loss = 0.007895479910075665, lr = [5e-05] +[2024-05-25 23:07:55,919] - INFO: Epoch 1909/9999, Iter 190800: Loss = 0.01210444699972868, lr = [5e-05] +[2024-05-25 23:08:23,146] - INFO: Epoch 1909/9999, Iter 190840: Loss = 0.01025324035435915, lr = [5e-05] +[2024-05-25 23:08:50,342] - INFO: Epoch 1909/9999, Iter 190880: Loss = 0.025252889841794968, lr = [5e-05] +[2024-05-25 23:09:18,845] - INFO: Epoch 1910/9999, Iter 190920: Loss = 0.01573566347360611, lr = [5e-05] +[2024-05-25 23:09:46,054] - INFO: Epoch 1910/9999, Iter 190960: Loss = 0.010166345164179802, lr = [5e-05] +[2024-05-25 23:10:12,973] - INFO: Evaluate at epoch 1910! +[2024-05-25 23:10:17,689] - INFO: Eval PSNR (max): 38.142 (1855) SSIM (max): 0.9614 (1750) +[2024-05-25 23:10:17,689] - INFO: Eval PSNR (current): 38.095 (1910) SSIM (current): 0.9612 (1910) +[2024-05-25 23:10:17,690] - INFO: Evaluation over. +[2024-05-25 23:10:24,396] - INFO: Epoch 1911/9999, Iter 191000: Loss = 0.02042136900126934, lr = [5e-05] +[2024-05-25 23:10:51,786] - INFO: Epoch 1911/9999, Iter 191040: Loss = 0.010442672297358513, lr = [5e-05] +[2024-05-25 23:11:19,054] - INFO: Epoch 1911/9999, Iter 191080: Loss = 0.011470021679997444, lr = [5e-05] +[2024-05-25 23:11:47,512] - INFO: Epoch 1912/9999, Iter 191120: Loss = 0.016184013336896896, lr = [5e-05] +[2024-05-25 23:12:14,648] - INFO: Epoch 1912/9999, Iter 191160: Loss = 0.02106644958257675, lr = [5e-05] +[2024-05-25 23:12:43,109] - INFO: Epoch 1913/9999, Iter 191200: Loss = 0.011317665688693523, lr = [5e-05] +[2024-05-25 23:13:10,404] - INFO: Epoch 1913/9999, Iter 191240: Loss = 0.00921786017715931, lr = [5e-05] +[2024-05-25 23:13:37,647] - INFO: Epoch 1913/9999, Iter 191280: Loss = 0.012254837900400162, lr = [5e-05] +[2024-05-25 23:14:06,100] - INFO: Epoch 1914/9999, Iter 191320: Loss = 0.015123515389859676, lr = [5e-05] +[2024-05-25 23:14:33,299] - INFO: Epoch 1914/9999, Iter 191360: Loss = 0.01546385046094656, lr = [5e-05] +[2024-05-25 23:15:01,983] - INFO: Epoch 1915/9999, Iter 191400: Loss = 0.01625772751867771, lr = [5e-05] +[2024-05-25 23:15:29,311] - INFO: Epoch 1915/9999, Iter 191440: Loss = 0.009767974726855755, lr = [5e-05] +[2024-05-25 23:15:56,573] - INFO: Epoch 1915/9999, Iter 191480: Loss = 0.008023123256862164, lr = [5e-05] +[2024-05-25 23:16:09,847] - INFO: Evaluate at epoch 1915! +[2024-05-25 23:16:14,611] - INFO: Eval PSNR (max): 38.142 (1855) SSIM (max): 0.9614 (1750) +[2024-05-25 23:16:14,611] - INFO: Eval PSNR (current): 38.075 (1915) SSIM (current): 0.9613 (1915) +[2024-05-25 23:16:14,611] - INFO: Evaluation over. +[2024-05-25 23:16:35,282] - INFO: Epoch 1916/9999, Iter 191520: Loss = 0.010983012616634369, lr = [5e-05] +[2024-05-25 23:17:02,503] - INFO: Epoch 1916/9999, Iter 191560: Loss = 0.011844515800476074, lr = [5e-05] +[2024-05-25 23:17:31,073] - INFO: Epoch 1917/9999, Iter 191600: Loss = 0.006367992144078016, lr = [5e-05] +[2024-05-25 23:17:58,346] - INFO: Epoch 1917/9999, Iter 191640: Loss = 0.014868170954287052, lr = [5e-05] +[2024-05-25 23:18:27,013] - INFO: Epoch 1917/9999, Iter 191680: Loss = 0.019282102584838867, lr = [5e-05] +[2024-05-25 23:18:59,761] - INFO: Epoch 1918/9999, Iter 191720: Loss = 0.011143149808049202, lr = [5e-05] +[2024-05-25 23:19:27,079] - INFO: Epoch 1918/9999, Iter 191760: Loss = 0.011523348279297352, lr = [5e-05] +[2024-05-25 23:19:57,911] - INFO: Epoch 1919/9999, Iter 191800: Loss = 0.016011463478207588, lr = [5e-05] +[2024-05-25 23:20:25,172] - INFO: Epoch 1919/9999, Iter 191840: Loss = 0.01156842801719904, lr = [5e-05] +[2024-05-25 23:20:54,072] - INFO: Epoch 1919/9999, Iter 191880: Loss = 0.006263040006160736, lr = [5e-05] +[2024-05-25 23:21:23,103] - INFO: Epoch 1920/9999, Iter 191920: Loss = 0.009274661540985107, lr = [5e-05] +[2024-05-25 23:21:50,434] - INFO: Epoch 1920/9999, Iter 191960: Loss = 0.013807100243866444, lr = [5e-05] +[2024-05-25 23:22:20,384] - INFO: Evaluate at epoch 1920! +[2024-05-25 23:22:27,091] - INFO: Eval PSNR (max): 38.142 (1855) SSIM (max): 0.9614 (1750) +[2024-05-25 23:22:27,091] - INFO: Eval PSNR (current): 38.083 (1920) SSIM (current): 0.9613 (1920) +[2024-05-25 23:22:27,091] - INFO: Evaluation over. +[2024-05-25 23:22:39,738] - INFO: Epoch 1921/9999, Iter 192000: Loss = 0.012096326798200607, lr = [5e-05] +[2024-05-25 23:23:07,564] - INFO: Epoch 1921/9999, Iter 192040: Loss = 0.009773221798241138, lr = [5e-05] +[2024-05-25 23:23:34,746] - INFO: Epoch 1921/9999, Iter 192080: Loss = 0.010749945417046547, lr = [5e-05] +[2024-05-25 23:24:03,450] - INFO: Epoch 1922/9999, Iter 192120: Loss = 0.008396848104894161, lr = [5e-05] +[2024-05-25 23:24:30,637] - INFO: Epoch 1922/9999, Iter 192160: Loss = 0.007959057576954365, lr = [5e-05] +[2024-05-25 23:24:59,264] - INFO: Epoch 1923/9999, Iter 192200: Loss = 0.010273068211972713, lr = [5e-05] +[2024-05-25 23:25:26,608] - INFO: Epoch 1923/9999, Iter 192240: Loss = 0.02257184498012066, lr = [5e-05] +[2024-05-25 23:25:53,808] - INFO: Epoch 1923/9999, Iter 192280: Loss = 0.008925718255341053, lr = [5e-05] +[2024-05-25 23:26:22,576] - INFO: Epoch 1924/9999, Iter 192320: Loss = 0.016830915585160255, lr = [5e-05] +[2024-05-25 23:26:49,785] - INFO: Epoch 1924/9999, Iter 192360: Loss = 0.01973189413547516, lr = [5e-05] +[2024-05-25 23:27:18,394] - INFO: Epoch 1925/9999, Iter 192400: Loss = 0.013351427391171455, lr = [5e-05] +[2024-05-25 23:27:45,699] - INFO: Epoch 1925/9999, Iter 192440: Loss = 0.013007832691073418, lr = [5e-05] +[2024-05-25 23:28:12,864] - INFO: Epoch 1925/9999, Iter 192480: Loss = 0.013830115087330341, lr = [5e-05] +[2024-05-25 23:28:26,167] - INFO: Evaluate at epoch 1925! +[2024-05-25 23:28:36,503] - INFO: Eval PSNR (max): 38.142 (1855) SSIM (max): 0.9614 (1925) +[2024-05-25 23:28:36,504] - INFO: Eval PSNR (current): 38.089 (1925) SSIM (current): 0.9614 (1925) +[2024-05-25 23:28:36,504] - INFO: Evaluation over. +[2024-05-25 23:28:56,907] - INFO: Epoch 1926/9999, Iter 192520: Loss = 0.01489885151386261, lr = [5e-05] +[2024-05-25 23:29:24,103] - INFO: Epoch 1926/9999, Iter 192560: Loss = 0.008506352081894875, lr = [5e-05] +[2024-05-25 23:29:52,498] - INFO: Epoch 1927/9999, Iter 192600: Loss = 0.010195093229413033, lr = [5e-05] +[2024-05-25 23:30:19,733] - INFO: Epoch 1927/9999, Iter 192640: Loss = 0.016269315034151077, lr = [5e-05] +[2024-05-25 23:30:46,958] - INFO: Epoch 1927/9999, Iter 192680: Loss = 0.00913884025067091, lr = [5e-05] +[2024-05-25 23:31:15,511] - INFO: Epoch 1928/9999, Iter 192720: Loss = 0.020005812868475914, lr = [5e-05] +[2024-05-25 23:31:42,716] - INFO: Epoch 1928/9999, Iter 192760: Loss = 0.011795549653470516, lr = [5e-05] +[2024-05-25 23:32:11,081] - INFO: Epoch 1929/9999, Iter 192800: Loss = 0.014515945687890053, lr = [5e-05] +[2024-05-25 23:32:38,354] - INFO: Epoch 1929/9999, Iter 192840: Loss = 0.004547341726720333, lr = [5e-05] +[2024-05-25 23:33:05,543] - INFO: Epoch 1929/9999, Iter 192880: Loss = 0.010067151859402657, lr = [5e-05] +[2024-05-25 23:33:34,075] - INFO: Epoch 1930/9999, Iter 192920: Loss = 0.007197076454758644, lr = [5e-05] +[2024-05-25 23:34:01,362] - INFO: Epoch 1930/9999, Iter 192960: Loss = 0.007699355483055115, lr = [5e-05] +[2024-05-25 23:34:28,278] - INFO: Evaluate at epoch 1930! +[2024-05-25 23:34:32,969] - INFO: Eval PSNR (max): 38.142 (1855) SSIM (max): 0.9614 (1925) +[2024-05-25 23:34:32,969] - INFO: Eval PSNR (current): 38.123 (1930) SSIM (current): 0.9613 (1930) +[2024-05-25 23:34:32,969] - INFO: Evaluation over. +[2024-05-25 23:34:39,949] - INFO: Epoch 1931/9999, Iter 193000: Loss = 0.013578664511442184, lr = [5e-05] +[2024-05-25 23:35:07,187] - INFO: Epoch 1931/9999, Iter 193040: Loss = 0.015255464240908623, lr = [5e-05] +[2024-05-25 23:35:34,392] - INFO: Epoch 1931/9999, Iter 193080: Loss = 0.019904889166355133, lr = [5e-05] +[2024-05-25 23:36:03,181] - INFO: Epoch 1932/9999, Iter 193120: Loss = 0.01528723631054163, lr = [5e-05] +[2024-05-25 23:36:30,322] - INFO: Epoch 1932/9999, Iter 193160: Loss = 0.01326562650501728, lr = [5e-05] +[2024-05-25 23:36:58,882] - INFO: Epoch 1933/9999, Iter 193200: Loss = 0.00569474371150136, lr = [5e-05] +[2024-05-25 23:37:26,264] - INFO: Epoch 1933/9999, Iter 193240: Loss = 0.016688169911503792, lr = [5e-05] +[2024-05-25 23:37:53,406] - INFO: Epoch 1933/9999, Iter 193280: Loss = 0.02872396446764469, lr = [5e-05] +[2024-05-25 23:38:21,955] - INFO: Epoch 1934/9999, Iter 193320: Loss = 0.010840880684554577, lr = [5e-05] +[2024-05-25 23:38:49,151] - INFO: Epoch 1934/9999, Iter 193360: Loss = 0.014339319430291653, lr = [5e-05] +[2024-05-25 23:39:18,020] - INFO: Epoch 1935/9999, Iter 193400: Loss = 0.01222312543541193, lr = [5e-05] +[2024-05-25 23:39:45,264] - INFO: Epoch 1935/9999, Iter 193440: Loss = 0.015692701563239098, lr = [5e-05] +[2024-05-25 23:40:12,448] - INFO: Epoch 1935/9999, Iter 193480: Loss = 0.013402089476585388, lr = [5e-05] +[2024-05-25 23:40:25,773] - INFO: Evaluate at epoch 1935! +[2024-05-25 23:40:30,275] - INFO: Eval PSNR (max): 38.142 (1855) SSIM (max): 0.9614 (1925) +[2024-05-25 23:40:30,275] - INFO: Eval PSNR (current): 38.130 (1935) SSIM (current): 0.9613 (1935) +[2024-05-25 23:40:30,275] - INFO: Evaluation over. +[2024-05-25 23:40:50,704] - INFO: Epoch 1936/9999, Iter 193520: Loss = 0.010283048264682293, lr = [5e-05] +[2024-05-25 23:41:17,928] - INFO: Epoch 1936/9999, Iter 193560: Loss = 0.011043063364923, lr = [5e-05] +[2024-05-25 23:41:46,504] - INFO: Epoch 1937/9999, Iter 193600: Loss = 0.012570043094456196, lr = [5e-05] +[2024-05-25 23:42:13,815] - INFO: Epoch 1937/9999, Iter 193640: Loss = 0.019767841324210167, lr = [5e-05] +[2024-05-25 23:42:41,070] - INFO: Epoch 1937/9999, Iter 193680: Loss = 0.014607218094170094, lr = [5e-05] +[2024-05-25 23:43:09,827] - INFO: Epoch 1938/9999, Iter 193720: Loss = 0.01425436232239008, lr = [5e-05] +[2024-05-25 23:43:37,036] - INFO: Epoch 1938/9999, Iter 193760: Loss = 0.012835592962801456, lr = [5e-05] +[2024-05-25 23:44:05,711] - INFO: Epoch 1939/9999, Iter 193800: Loss = 0.016119996085762978, lr = [5e-05] +[2024-05-25 23:44:32,974] - INFO: Epoch 1939/9999, Iter 193840: Loss = 0.017903709784150124, lr = [5e-05] +[2024-05-25 23:45:00,225] - INFO: Epoch 1939/9999, Iter 193880: Loss = 0.013959119096398354, lr = [5e-05] +[2024-05-25 23:45:28,686] - INFO: Epoch 1940/9999, Iter 193920: Loss = 0.007504168897867203, lr = [5e-05] +[2024-05-25 23:45:55,806] - INFO: Epoch 1940/9999, Iter 193960: Loss = 0.019573843106627464, lr = [5e-05] +[2024-05-25 23:46:22,828] - INFO: Evaluate at epoch 1940! +[2024-05-25 23:46:27,493] - INFO: Eval PSNR (max): 38.142 (1855) SSIM (max): 0.9614 (1925) +[2024-05-25 23:46:27,493] - INFO: Eval PSNR (current): 38.110 (1940) SSIM (current): 0.9612 (1940) +[2024-05-25 23:46:27,493] - INFO: Evaluation over. +[2024-05-25 23:46:34,156] - INFO: Epoch 1941/9999, Iter 194000: Loss = 0.012956698425114155, lr = [5e-05] +[2024-05-25 23:47:01,443] - INFO: Epoch 1941/9999, Iter 194040: Loss = 0.013746561482548714, lr = [5e-05] +[2024-05-25 23:47:28,623] - INFO: Epoch 1941/9999, Iter 194080: Loss = 0.00612230971455574, lr = [5e-05] +[2024-05-25 23:47:57,230] - INFO: Epoch 1942/9999, Iter 194120: Loss = 0.007969659753143787, lr = [5e-05] +[2024-05-25 23:48:24,438] - INFO: Epoch 1942/9999, Iter 194160: Loss = 0.00948970764875412, lr = [5e-05] +[2024-05-25 23:48:53,015] - INFO: Epoch 1943/9999, Iter 194200: Loss = 0.009339203126728535, lr = [5e-05] +[2024-05-25 23:49:20,274] - INFO: Epoch 1943/9999, Iter 194240: Loss = 0.018952585756778717, lr = [5e-05] +[2024-05-25 23:49:47,483] - INFO: Epoch 1943/9999, Iter 194280: Loss = 0.008911021053791046, lr = [5e-05] +[2024-05-25 23:50:16,030] - INFO: Epoch 1944/9999, Iter 194320: Loss = 0.019528735429048538, lr = [5e-05] +[2024-05-25 23:50:43,247] - INFO: Epoch 1944/9999, Iter 194360: Loss = 0.020776890218257904, lr = [5e-05] +[2024-05-25 23:51:11,863] - INFO: Epoch 1945/9999, Iter 194400: Loss = 0.00917149055749178, lr = [5e-05] +[2024-05-25 23:51:39,134] - INFO: Epoch 1945/9999, Iter 194440: Loss = 0.015452257357537746, lr = [5e-05] +[2024-05-25 23:52:06,375] - INFO: Epoch 1945/9999, Iter 194480: Loss = 0.010060316883027554, lr = [5e-05] +[2024-05-25 23:52:19,667] - INFO: Evaluate at epoch 1945! +[2024-05-25 23:52:24,241] - INFO: Eval PSNR (max): 38.142 (1855) SSIM (max): 0.9614 (1925) +[2024-05-25 23:52:24,241] - INFO: Eval PSNR (current): 38.115 (1945) SSIM (current): 0.9611 (1945) +[2024-05-25 23:52:24,241] - INFO: Evaluation over. +[2024-05-25 23:52:44,627] - INFO: Epoch 1946/9999, Iter 194520: Loss = 0.010002374649047852, lr = [5e-05] +[2024-05-25 23:53:11,818] - INFO: Epoch 1946/9999, Iter 194560: Loss = 0.007202151231467724, lr = [5e-05] +[2024-05-25 23:53:40,450] - INFO: Epoch 1947/9999, Iter 194600: Loss = 0.011662052944302559, lr = [5e-05] +[2024-05-25 23:54:07,765] - INFO: Epoch 1947/9999, Iter 194640: Loss = 0.013865455985069275, lr = [5e-05] +[2024-05-25 23:54:35,005] - INFO: Epoch 1947/9999, Iter 194680: Loss = 0.012890791520476341, lr = [5e-05] +[2024-05-25 23:55:03,632] - INFO: Epoch 1948/9999, Iter 194720: Loss = 0.011569707654416561, lr = [5e-05] +[2024-05-25 23:55:30,819] - INFO: Epoch 1948/9999, Iter 194760: Loss = 0.01603667065501213, lr = [5e-05] +[2024-05-25 23:55:59,287] - INFO: Epoch 1949/9999, Iter 194800: Loss = 0.011449247598648071, lr = [5e-05] +[2024-05-25 23:56:26,596] - INFO: Epoch 1949/9999, Iter 194840: Loss = 0.005927605088800192, lr = [5e-05] +[2024-05-25 23:56:53,826] - INFO: Epoch 1949/9999, Iter 194880: Loss = 0.010546109639108181, lr = [5e-05] +[2024-05-25 23:57:22,352] - INFO: Epoch 1950/9999, Iter 194920: Loss = 0.006805418524891138, lr = [5e-05] +[2024-05-25 23:57:49,608] - INFO: Epoch 1950/9999, Iter 194960: Loss = 0.011336739175021648, lr = [5e-05] +[2024-05-25 23:58:16,479] - INFO: Evaluate at epoch 1950! +[2024-05-25 23:58:21,206] - INFO: Eval PSNR (max): 38.142 (1855) SSIM (max): 0.9614 (1925) +[2024-05-25 23:58:21,206] - INFO: Eval PSNR (current): 38.113 (1950) SSIM (current): 0.9613 (1950) +[2024-05-25 23:58:21,206] - INFO: Evaluation over. +[2024-05-25 23:58:27,744] - INFO: Epoch 1951/9999, Iter 195000: Loss = 0.011508215218782425, lr = [5e-05] +[2024-05-25 23:58:55,071] - INFO: Epoch 1951/9999, Iter 195040: Loss = 0.013452503830194473, lr = [5e-05] +[2024-05-25 23:59:22,294] - INFO: Epoch 1951/9999, Iter 195080: Loss = 0.015800083056092262, lr = [5e-05] +[2024-05-25 23:59:50,982] - INFO: Epoch 1952/9999, Iter 195120: Loss = 0.007672765292227268, lr = [5e-05] +[2024-05-26 00:00:18,183] - INFO: Epoch 1952/9999, Iter 195160: Loss = 0.013995272107422352, lr = [5e-05] +[2024-05-26 00:00:46,733] - INFO: Epoch 1953/9999, Iter 195200: Loss = 0.011850753799080849, lr = [5e-05] +[2024-05-26 00:01:14,038] - INFO: Epoch 1953/9999, Iter 195240: Loss = 0.006783263757824898, lr = [5e-05] +[2024-05-26 00:01:41,310] - INFO: Epoch 1953/9999, Iter 195280: Loss = 0.010398275218904018, lr = [5e-05] +[2024-05-26 00:02:10,080] - INFO: Epoch 1954/9999, Iter 195320: Loss = 0.00596237275749445, lr = [5e-05] +[2024-05-26 00:02:37,274] - INFO: Epoch 1954/9999, Iter 195360: Loss = 0.009888535365462303, lr = [5e-05] +[2024-05-26 00:03:06,069] - INFO: Epoch 1955/9999, Iter 195400: Loss = 0.011998468078672886, lr = [5e-05] +[2024-05-26 00:03:33,360] - INFO: Epoch 1955/9999, Iter 195440: Loss = 0.016219601035118103, lr = [5e-05] +[2024-05-26 00:04:00,544] - INFO: Epoch 1955/9999, Iter 195480: Loss = 0.009074641391634941, lr = [5e-05] +[2024-05-26 00:04:13,824] - INFO: Evaluate at epoch 1955! +[2024-05-26 00:04:18,384] - INFO: Eval PSNR (max): 38.142 (1855) SSIM (max): 0.9614 (1925) +[2024-05-26 00:04:18,385] - INFO: Eval PSNR (current): 38.111 (1955) SSIM (current): 0.9614 (1955) +[2024-05-26 00:04:18,385] - INFO: Evaluation over. +[2024-05-26 00:04:39,203] - INFO: Epoch 1956/9999, Iter 195520: Loss = 0.014792315661907196, lr = [5e-05] +[2024-05-26 00:05:06,394] - INFO: Epoch 1956/9999, Iter 195560: Loss = 0.01726534403860569, lr = [5e-05] +[2024-05-26 00:05:35,160] - INFO: Epoch 1957/9999, Iter 195600: Loss = 0.0135818962007761, lr = [5e-05] +[2024-05-26 00:06:02,490] - INFO: Epoch 1957/9999, Iter 195640: Loss = 0.009588838554918766, lr = [5e-05] +[2024-05-26 00:06:29,647] - INFO: Epoch 1957/9999, Iter 195680: Loss = 0.02188289538025856, lr = [5e-05] +[2024-05-26 00:06:58,562] - INFO: Epoch 1958/9999, Iter 195720: Loss = 0.01222911849617958, lr = [5e-05] +[2024-05-26 00:07:25,765] - INFO: Epoch 1958/9999, Iter 195760: Loss = 0.00860569067299366, lr = [5e-05] +[2024-05-26 00:07:54,528] - INFO: Epoch 1959/9999, Iter 195800: Loss = 0.018354328349232674, lr = [5e-05] +[2024-05-26 00:08:21,818] - INFO: Epoch 1959/9999, Iter 195840: Loss = 0.010754503309726715, lr = [5e-05] +[2024-05-26 00:08:49,068] - INFO: Epoch 1959/9999, Iter 195880: Loss = 0.020207878202199936, lr = [5e-05] +[2024-05-26 00:09:17,760] - INFO: Epoch 1960/9999, Iter 195920: Loss = 0.0179516039788723, lr = [5e-05] +[2024-05-26 00:09:45,008] - INFO: Epoch 1960/9999, Iter 195960: Loss = 0.016975853592157364, lr = [5e-05] +[2024-05-26 00:10:11,864] - INFO: Evaluate at epoch 1960! +[2024-05-26 00:10:16,427] - INFO: Eval PSNR (max): 38.142 (1855) SSIM (max): 0.9614 (1925) +[2024-05-26 00:10:16,427] - INFO: Eval PSNR (current): 38.055 (1960) SSIM (current): 0.9612 (1960) +[2024-05-26 00:10:16,427] - INFO: Evaluation over. +[2024-05-26 00:10:23,114] - INFO: Epoch 1961/9999, Iter 196000: Loss = 0.010631580837070942, lr = [5e-05] +[2024-05-26 00:10:50,363] - INFO: Epoch 1961/9999, Iter 196040: Loss = 0.017531441524624825, lr = [5e-05] +[2024-05-26 00:11:17,654] - INFO: Epoch 1961/9999, Iter 196080: Loss = 0.018941396847367287, lr = [5e-05] +[2024-05-26 00:11:46,555] - INFO: Epoch 1962/9999, Iter 196120: Loss = 0.01920549012720585, lr = [5e-05] +[2024-05-26 00:12:13,771] - INFO: Epoch 1962/9999, Iter 196160: Loss = 0.011702892370522022, lr = [5e-05] +[2024-05-26 00:12:42,352] - INFO: Epoch 1963/9999, Iter 196200: Loss = 0.011898992583155632, lr = [5e-05] +[2024-05-26 00:13:09,657] - INFO: Epoch 1963/9999, Iter 196240: Loss = 0.016590019688010216, lr = [5e-05] +[2024-05-26 00:13:36,865] - INFO: Epoch 1963/9999, Iter 196280: Loss = 0.01981164515018463, lr = [5e-05] +[2024-05-26 00:14:05,601] - INFO: Epoch 1964/9999, Iter 196320: Loss = 0.019920190796256065, lr = [5e-05] +[2024-05-26 00:14:32,796] - INFO: Epoch 1964/9999, Iter 196360: Loss = 0.010877867229282856, lr = [5e-05] +[2024-05-26 00:15:01,480] - INFO: Epoch 1965/9999, Iter 196400: Loss = 0.01695406250655651, lr = [5e-05] +[2024-05-26 00:15:28,618] - INFO: Epoch 1965/9999, Iter 196440: Loss = 0.014421499334275723, lr = [5e-05] +[2024-05-26 00:15:55,829] - INFO: Epoch 1965/9999, Iter 196480: Loss = 0.015798769891262054, lr = [5e-05] +[2024-05-26 00:16:09,117] - INFO: Evaluate at epoch 1965! +[2024-05-26 00:16:13,695] - INFO: Eval PSNR (max): 38.142 (1855) SSIM (max): 0.9614 (1925) +[2024-05-26 00:16:13,696] - INFO: Eval PSNR (current): 38.086 (1965) SSIM (current): 0.9613 (1965) +[2024-05-26 00:16:13,696] - INFO: Evaluation over. +[2024-05-26 00:16:34,185] - INFO: Epoch 1966/9999, Iter 196520: Loss = 0.012029921635985374, lr = [5e-05] +[2024-05-26 00:17:01,414] - INFO: Epoch 1966/9999, Iter 196560: Loss = 0.00934969075024128, lr = [5e-05] +[2024-05-26 00:17:29,870] - INFO: Epoch 1967/9999, Iter 196600: Loss = 0.01539717148989439, lr = [5e-05] +[2024-05-26 00:17:57,144] - INFO: Epoch 1967/9999, Iter 196640: Loss = 0.00717121921479702, lr = [5e-05] +[2024-05-26 00:18:24,423] - INFO: Epoch 1967/9999, Iter 196680: Loss = 0.01145183201879263, lr = [5e-05] +[2024-05-26 00:18:52,913] - INFO: Epoch 1968/9999, Iter 196720: Loss = 0.01217381190508604, lr = [5e-05] +[2024-05-26 00:19:20,053] - INFO: Epoch 1968/9999, Iter 196760: Loss = 0.00867507979273796, lr = [5e-05] +[2024-05-26 00:19:48,845] - INFO: Epoch 1969/9999, Iter 196800: Loss = 0.00908095296472311, lr = [5e-05] +[2024-05-26 00:20:16,289] - INFO: Epoch 1969/9999, Iter 196840: Loss = 0.013898419216275215, lr = [5e-05] +[2024-05-26 00:20:43,512] - INFO: Epoch 1969/9999, Iter 196880: Loss = 0.01521630585193634, lr = [5e-05] +[2024-05-26 00:21:12,179] - INFO: Epoch 1970/9999, Iter 196920: Loss = 0.0072765471413731575, lr = [5e-05] +[2024-05-26 00:21:39,397] - INFO: Epoch 1970/9999, Iter 196960: Loss = 0.011937258765101433, lr = [5e-05] +[2024-05-26 00:22:06,348] - INFO: Evaluate at epoch 1970! +[2024-05-26 00:22:10,961] - INFO: Eval PSNR (max): 38.142 (1855) SSIM (max): 0.9614 (1925) +[2024-05-26 00:22:10,962] - INFO: Eval PSNR (current): 38.130 (1970) SSIM (current): 0.9613 (1970) +[2024-05-26 00:22:10,962] - INFO: Evaluation over. +[2024-05-26 00:22:17,764] - INFO: Epoch 1971/9999, Iter 197000: Loss = 0.013767565600574017, lr = [5e-05] +[2024-05-26 00:22:45,011] - INFO: Epoch 1971/9999, Iter 197040: Loss = 0.015369395725429058, lr = [5e-05] +[2024-05-26 00:23:12,274] - INFO: Epoch 1971/9999, Iter 197080: Loss = 0.007727166172116995, lr = [5e-05] +[2024-05-26 00:23:40,919] - INFO: Epoch 1972/9999, Iter 197120: Loss = 0.012385892681777477, lr = [5e-05] +[2024-05-26 00:24:08,159] - INFO: Epoch 1972/9999, Iter 197160: Loss = 0.013972878456115723, lr = [5e-05] +[2024-05-26 00:24:36,736] - INFO: Epoch 1973/9999, Iter 197200: Loss = 0.015533573925495148, lr = [5e-05] +[2024-05-26 00:25:04,106] - INFO: Epoch 1973/9999, Iter 197240: Loss = 0.017854196950793266, lr = [5e-05] +[2024-05-26 00:25:31,315] - INFO: Epoch 1973/9999, Iter 197280: Loss = 0.01041556615382433, lr = [5e-05] +[2024-05-26 00:25:59,920] - INFO: Epoch 1974/9999, Iter 197320: Loss = 0.015188246965408325, lr = [5e-05] +[2024-05-26 00:26:27,094] - INFO: Epoch 1974/9999, Iter 197360: Loss = 0.02315394952893257, lr = [5e-05] +[2024-05-26 00:26:55,617] - INFO: Epoch 1975/9999, Iter 197400: Loss = 0.008431090973317623, lr = [5e-05] +[2024-05-26 00:27:22,996] - INFO: Epoch 1975/9999, Iter 197440: Loss = 0.010182616300880909, lr = [5e-05] +[2024-05-26 00:27:50,245] - INFO: Epoch 1975/9999, Iter 197480: Loss = 0.01318529061973095, lr = [5e-05] +[2024-05-26 00:28:03,542] - INFO: Evaluate at epoch 1975! +[2024-05-26 00:28:08,200] - INFO: Eval PSNR (max): 38.142 (1855) SSIM (max): 0.9614 (1925) +[2024-05-26 00:28:08,201] - INFO: Eval PSNR (current): 38.137 (1975) SSIM (current): 0.9612 (1975) +[2024-05-26 00:28:08,201] - INFO: Evaluation over. +[2024-05-26 00:28:28,686] - INFO: Epoch 1976/9999, Iter 197520: Loss = 0.003891655243933201, lr = [5e-05] +[2024-05-26 00:28:55,843] - INFO: Epoch 1976/9999, Iter 197560: Loss = 0.019254347309470177, lr = [5e-05] +[2024-05-26 00:29:24,249] - INFO: Epoch 1977/9999, Iter 197600: Loss = 0.011956494301557541, lr = [5e-05] +[2024-05-26 00:29:51,554] - INFO: Epoch 1977/9999, Iter 197640: Loss = 0.007258156780153513, lr = [5e-05] +[2024-05-26 00:30:18,698] - INFO: Epoch 1977/9999, Iter 197680: Loss = 0.013094954192638397, lr = [5e-05] +[2024-05-26 00:30:47,351] - INFO: Epoch 1978/9999, Iter 197720: Loss = 0.011027627624571323, lr = [5e-05] +[2024-05-26 00:31:14,534] - INFO: Epoch 1978/9999, Iter 197760: Loss = 0.016993818804621696, lr = [5e-05] +[2024-05-26 00:31:43,048] - INFO: Epoch 1979/9999, Iter 197800: Loss = 0.013156681321561337, lr = [5e-05] +[2024-05-26 00:32:10,346] - INFO: Epoch 1979/9999, Iter 197840: Loss = 0.01082127820700407, lr = [5e-05] +[2024-05-26 00:32:37,557] - INFO: Epoch 1979/9999, Iter 197880: Loss = 0.02034718170762062, lr = [5e-05] +[2024-05-26 00:33:06,271] - INFO: Epoch 1980/9999, Iter 197920: Loss = 0.013312420807778835, lr = [5e-05] +[2024-05-26 00:33:33,517] - INFO: Epoch 1980/9999, Iter 197960: Loss = 0.017452377825975418, lr = [5e-05] +[2024-05-26 00:34:00,407] - INFO: Evaluate at epoch 1980! +[2024-05-26 00:34:04,986] - INFO: Eval PSNR (max): 38.142 (1855) SSIM (max): 0.9614 (1925) +[2024-05-26 00:34:04,986] - INFO: Eval PSNR (current): 38.122 (1980) SSIM (current): 0.9613 (1980) +[2024-05-26 00:34:04,986] - INFO: Evaluation over. +[2024-05-26 00:34:12,020] - INFO: Epoch 1981/9999, Iter 198000: Loss = 0.012445103377103806, lr = [5e-05] +[2024-05-26 00:34:39,343] - INFO: Epoch 1981/9999, Iter 198040: Loss = 0.010177526623010635, lr = [5e-05] +[2024-05-26 00:35:06,552] - INFO: Epoch 1981/9999, Iter 198080: Loss = 0.007462425623089075, lr = [5e-05] +[2024-05-26 00:35:35,409] - INFO: Epoch 1982/9999, Iter 198120: Loss = 0.013933919370174408, lr = [5e-05] +[2024-05-26 00:36:02,635] - INFO: Epoch 1982/9999, Iter 198160: Loss = 0.01406903937458992, lr = [5e-05] +[2024-05-26 00:36:31,166] - INFO: Epoch 1983/9999, Iter 198200: Loss = 0.01364893838763237, lr = [5e-05] +[2024-05-26 00:36:58,450] - INFO: Epoch 1983/9999, Iter 198240: Loss = 0.00982121005654335, lr = [5e-05] +[2024-05-26 00:37:25,683] - INFO: Epoch 1983/9999, Iter 198280: Loss = 0.016795814037322998, lr = [5e-05] +[2024-05-26 00:37:54,237] - INFO: Epoch 1984/9999, Iter 198320: Loss = 0.019403934478759766, lr = [5e-05] +[2024-05-26 00:38:21,423] - INFO: Epoch 1984/9999, Iter 198360: Loss = 0.018925238400697708, lr = [5e-05] +[2024-05-26 00:38:49,719] - INFO: Epoch 1985/9999, Iter 198400: Loss = 0.015155273489654064, lr = [5e-05] +[2024-05-26 00:39:17,027] - INFO: Epoch 1985/9999, Iter 198440: Loss = 0.0156821571290493, lr = [5e-05] +[2024-05-26 00:39:44,216] - INFO: Epoch 1985/9999, Iter 198480: Loss = 0.018616968765854836, lr = [5e-05] +[2024-05-26 00:39:57,528] - INFO: Evaluate at epoch 1985! +[2024-05-26 00:40:02,074] - INFO: Eval PSNR (max): 38.142 (1855) SSIM (max): 0.9614 (1925) +[2024-05-26 00:40:02,074] - INFO: Eval PSNR (current): 38.094 (1985) SSIM (current): 0.9612 (1985) +[2024-05-26 00:40:02,074] - INFO: Evaluation over. +[2024-05-26 00:40:22,729] - INFO: Epoch 1986/9999, Iter 198520: Loss = 0.013100546784698963, lr = [5e-05] +[2024-05-26 00:40:49,973] - INFO: Epoch 1986/9999, Iter 198560: Loss = 0.015039779245853424, lr = [5e-05] +[2024-05-26 00:41:18,411] - INFO: Epoch 1987/9999, Iter 198600: Loss = 0.013587475754320621, lr = [5e-05] +[2024-05-26 00:41:45,688] - INFO: Epoch 1987/9999, Iter 198640: Loss = 0.012812145054340363, lr = [5e-05] +[2024-05-26 00:42:12,850] - INFO: Epoch 1987/9999, Iter 198680: Loss = 0.0072859362699091434, lr = [5e-05] +[2024-05-26 00:42:41,499] - INFO: Epoch 1988/9999, Iter 198720: Loss = 0.013335153460502625, lr = [5e-05] +[2024-05-26 00:43:08,683] - INFO: Epoch 1988/9999, Iter 198760: Loss = 0.012007677927613258, lr = [5e-05] +[2024-05-26 00:43:37,255] - INFO: Epoch 1989/9999, Iter 198800: Loss = 0.016348356381058693, lr = [5e-05] +[2024-05-26 00:44:04,602] - INFO: Epoch 1989/9999, Iter 198840: Loss = 0.0114842988550663, lr = [5e-05] +[2024-05-26 00:44:31,840] - INFO: Epoch 1989/9999, Iter 198880: Loss = 0.012489641085267067, lr = [5e-05] +[2024-05-26 00:45:00,587] - INFO: Epoch 1990/9999, Iter 198920: Loss = 0.01841038651764393, lr = [5e-05] +[2024-05-26 00:45:27,830] - INFO: Epoch 1990/9999, Iter 198960: Loss = 0.009482256136834621, lr = [5e-05] +[2024-05-26 00:45:54,731] - INFO: Evaluate at epoch 1990! +[2024-05-26 00:46:04,485] - INFO: Eval PSNR (max): 38.147 (1990) SSIM (max): 0.9614 (1925) +[2024-05-26 00:46:04,485] - INFO: Eval PSNR (current): 38.147 (1990) SSIM (current): 0.9613 (1990) +[2024-05-26 00:46:04,486] - INFO: Evaluation over. +[2024-05-26 00:46:11,181] - INFO: Epoch 1991/9999, Iter 199000: Loss = 0.009080205112695694, lr = [5e-05] +[2024-05-26 00:46:38,475] - INFO: Epoch 1991/9999, Iter 199040: Loss = 0.009241835214197636, lr = [5e-05] +[2024-05-26 00:47:05,715] - INFO: Epoch 1991/9999, Iter 199080: Loss = 0.01647813618183136, lr = [5e-05] +[2024-05-26 00:47:34,414] - INFO: Epoch 1992/9999, Iter 199120: Loss = 0.015306700021028519, lr = [5e-05] +[2024-05-26 00:48:01,648] - INFO: Epoch 1992/9999, Iter 199160: Loss = 0.014885424636304379, lr = [5e-05] +[2024-05-26 00:48:30,295] - INFO: Epoch 1993/9999, Iter 199200: Loss = 0.015176195651292801, lr = [5e-05] +[2024-05-26 00:48:57,633] - INFO: Epoch 1993/9999, Iter 199240: Loss = 0.010280324146151543, lr = [5e-05] +[2024-05-26 00:49:24,903] - INFO: Epoch 1993/9999, Iter 199280: Loss = 0.010339583270251751, lr = [5e-05] +[2024-05-26 00:49:53,505] - INFO: Epoch 1994/9999, Iter 199320: Loss = 0.011379358358681202, lr = [5e-05] +[2024-05-26 00:50:20,648] - INFO: Epoch 1994/9999, Iter 199360: Loss = 0.0061967275105416775, lr = [5e-05] +[2024-05-26 00:50:49,200] - INFO: Epoch 1995/9999, Iter 199400: Loss = 0.010900557972490788, lr = [5e-05] +[2024-05-26 00:51:16,544] - INFO: Epoch 1995/9999, Iter 199440: Loss = 0.006609267555177212, lr = [5e-05] +[2024-05-26 00:51:43,775] - INFO: Epoch 1995/9999, Iter 199480: Loss = 0.010678119026124477, lr = [5e-05] +[2024-05-26 00:51:57,043] - INFO: Evaluate at epoch 1995! +[2024-05-26 00:52:01,634] - INFO: Eval PSNR (max): 38.147 (1990) SSIM (max): 0.9614 (1925) +[2024-05-26 00:52:01,634] - INFO: Eval PSNR (current): 38.137 (1995) SSIM (current): 0.9613 (1995) +[2024-05-26 00:52:01,634] - INFO: Evaluation over. +[2024-05-26 00:52:22,040] - INFO: Epoch 1996/9999, Iter 199520: Loss = 0.012120360508561134, lr = [5e-05] +[2024-05-26 00:52:49,251] - INFO: Epoch 1996/9999, Iter 199560: Loss = 0.012726088054478168, lr = [5e-05] +[2024-05-26 00:53:17,892] - INFO: Epoch 1997/9999, Iter 199600: Loss = 0.008580125868320465, lr = [5e-05] +[2024-05-26 00:53:45,122] - INFO: Epoch 1997/9999, Iter 199640: Loss = 0.014162695035338402, lr = [5e-05] +[2024-05-26 00:54:12,385] - INFO: Epoch 1997/9999, Iter 199680: Loss = 0.01577882096171379, lr = [5e-05] +[2024-05-26 00:54:41,153] - INFO: Epoch 1998/9999, Iter 199720: Loss = 0.012696029618382454, lr = [5e-05] +[2024-05-26 00:55:08,327] - INFO: Epoch 1998/9999, Iter 199760: Loss = 0.024462992325425148, lr = [5e-05] +[2024-05-26 00:55:37,009] - INFO: Epoch 1999/9999, Iter 199800: Loss = 0.016046160832047462, lr = [5e-05] +[2024-05-26 00:56:04,314] - INFO: Epoch 1999/9999, Iter 199840: Loss = 0.006152786780148745, lr = [5e-05] +[2024-05-26 00:56:31,507] - INFO: Epoch 1999/9999, Iter 199880: Loss = 0.006936873774975538, lr = [5e-05] +[2024-05-26 00:56:59,879] - INFO: Epoch 2000/9999, Iter 199920: Loss = 0.013386785052716732, lr = [2.5e-05] +[2024-05-26 00:57:27,059] - INFO: Epoch 2000/9999, Iter 199960: Loss = 0.012671960517764091, lr = [2.5e-05] +[2024-05-26 00:57:54,070] - INFO: Evaluate at epoch 2000! +[2024-05-26 00:58:09,131] - INFO: Eval PSNR (max): 38.154 (2000) SSIM (max): 0.9614 (2000) +[2024-05-26 00:58:09,132] - INFO: Eval PSNR (current): 38.154 (2000) SSIM (current): 0.9614 (2000) +[2024-05-26 00:58:09,132] - INFO: Evaluation over. +[2024-05-26 00:58:15,857] - INFO: Epoch 2001/9999, Iter 200000: Loss = 0.010030001401901245, lr = [2.5e-05] +[2024-05-26 00:58:43,160] - INFO: Epoch 2001/9999, Iter 200040: Loss = 0.011774715967476368, lr = [2.5e-05] +[2024-05-26 00:59:10,388] - INFO: Epoch 2001/9999, Iter 200080: Loss = 0.011618055403232574, lr = [2.5e-05] +[2024-05-26 00:59:39,061] - INFO: Epoch 2002/9999, Iter 200120: Loss = 0.011413916014134884, lr = [2.5e-05] +[2024-05-26 01:00:06,225] - INFO: Epoch 2002/9999, Iter 200160: Loss = 0.011728975921869278, lr = [2.5e-05] +[2024-05-26 01:00:34,960] - INFO: Epoch 2003/9999, Iter 200200: Loss = 0.008472589775919914, lr = [2.5e-05] +[2024-05-26 01:01:02,250] - INFO: Epoch 2003/9999, Iter 200240: Loss = 0.012745526619255543, lr = [2.5e-05] +[2024-05-26 01:01:29,504] - INFO: Epoch 2003/9999, Iter 200280: Loss = 0.02048036828637123, lr = [2.5e-05] +[2024-05-26 01:01:58,377] - INFO: Epoch 2004/9999, Iter 200320: Loss = 0.0180168766528368, lr = [2.5e-05] +[2024-05-26 01:02:25,607] - INFO: Epoch 2004/9999, Iter 200360: Loss = 0.007790702395141125, lr = [2.5e-05] +[2024-05-26 01:02:54,042] - INFO: Epoch 2005/9999, Iter 200400: Loss = 0.010268139652907848, lr = [2.5e-05] +[2024-05-26 01:03:21,350] - INFO: Epoch 2005/9999, Iter 200440: Loss = 0.014497633092105389, lr = [2.5e-05] +[2024-05-26 01:03:48,559] - INFO: Epoch 2005/9999, Iter 200480: Loss = 0.013673819601535797, lr = [2.5e-05] +[2024-05-26 01:04:01,830] - INFO: Evaluate at epoch 2005! +[2024-05-26 01:04:16,469] - INFO: Eval PSNR (max): 38.155 (2005) SSIM (max): 0.9614 (2005) +[2024-05-26 01:04:16,470] - INFO: Eval PSNR (current): 38.155 (2005) SSIM (current): 0.9614 (2005) +[2024-05-26 01:04:16,470] - INFO: Evaluation over. +[2024-05-26 01:04:37,168] - INFO: Epoch 2006/9999, Iter 200520: Loss = 0.009145515039563179, lr = [2.5e-05] +[2024-05-26 01:05:04,355] - INFO: Epoch 2006/9999, Iter 200560: Loss = 0.01216148491948843, lr = [2.5e-05] +[2024-05-26 01:05:33,064] - INFO: Epoch 2007/9999, Iter 200600: Loss = 0.008975566364824772, lr = [2.5e-05] +[2024-05-26 01:06:00,410] - INFO: Epoch 2007/9999, Iter 200640: Loss = 0.008428698405623436, lr = [2.5e-05] +[2024-05-26 01:06:27,596] - INFO: Epoch 2007/9999, Iter 200680: Loss = 0.00958312675356865, lr = [2.5e-05] +[2024-05-26 01:06:56,242] - INFO: Epoch 2008/9999, Iter 200720: Loss = 0.013805864378809929, lr = [2.5e-05] +[2024-05-26 01:07:23,451] - INFO: Epoch 2008/9999, Iter 200760: Loss = 0.0101833650842309, lr = [2.5e-05] +[2024-05-26 01:07:52,120] - INFO: Epoch 2009/9999, Iter 200800: Loss = 0.02124672941863537, lr = [2.5e-05] +[2024-05-26 01:08:19,475] - INFO: Epoch 2009/9999, Iter 200840: Loss = 0.014452665112912655, lr = [2.5e-05] +[2024-05-26 01:08:46,672] - INFO: Epoch 2009/9999, Iter 200880: Loss = 0.012835524044930935, lr = [2.5e-05] +[2024-05-26 01:09:15,551] - INFO: Epoch 2010/9999, Iter 200920: Loss = 0.020055143162608147, lr = [2.5e-05] +[2024-05-26 01:09:42,750] - INFO: Epoch 2010/9999, Iter 200960: Loss = 0.013408046215772629, lr = [2.5e-05] +[2024-05-26 01:10:09,623] - INFO: Evaluate at epoch 2010! +[2024-05-26 01:10:24,343] - INFO: Eval PSNR (max): 38.164 (2010) SSIM (max): 0.9615 (2010) +[2024-05-26 01:10:24,343] - INFO: Eval PSNR (current): 38.164 (2010) SSIM (current): 0.9615 (2010) +[2024-05-26 01:10:24,344] - INFO: Evaluation over. +[2024-05-26 01:10:30,434] - INFO: Epoch 2011/9999, Iter 201000: Loss = 0.010206787846982479, lr = [2.5e-05] +[2024-05-26 01:10:57,866] - INFO: Epoch 2011/9999, Iter 201040: Loss = 0.00736430287361145, lr = [2.5e-05] +[2024-05-26 01:11:25,093] - INFO: Epoch 2011/9999, Iter 201080: Loss = 0.010105954483151436, lr = [2.5e-05] +[2024-05-26 01:11:53,939] - INFO: Epoch 2012/9999, Iter 201120: Loss = 0.010635641403496265, lr = [2.5e-05] +[2024-05-26 01:12:21,234] - INFO: Epoch 2012/9999, Iter 201160: Loss = 0.010294359177350998, lr = [2.5e-05] +[2024-05-26 01:12:49,929] - INFO: Epoch 2013/9999, Iter 201200: Loss = 0.014447490684688091, lr = [2.5e-05] +[2024-05-26 01:13:17,191] - INFO: Epoch 2013/9999, Iter 201240: Loss = 0.007461159955710173, lr = [2.5e-05] +[2024-05-26 01:13:44,403] - INFO: Epoch 2013/9999, Iter 201280: Loss = 0.016627555713057518, lr = [2.5e-05] +[2024-05-26 01:14:13,189] - INFO: Epoch 2014/9999, Iter 201320: Loss = 0.008133767172694206, lr = [2.5e-05] +[2024-05-26 01:14:40,392] - INFO: Epoch 2014/9999, Iter 201360: Loss = 0.008925540372729301, lr = [2.5e-05] +[2024-05-26 01:15:08,858] - INFO: Epoch 2015/9999, Iter 201400: Loss = 0.01831051893532276, lr = [2.5e-05] +[2024-05-26 01:15:36,159] - INFO: Epoch 2015/9999, Iter 201440: Loss = 0.00894937664270401, lr = [2.5e-05] +[2024-05-26 01:16:03,347] - INFO: Epoch 2015/9999, Iter 201480: Loss = 0.018914854153990746, lr = [2.5e-05] +[2024-05-26 01:16:16,664] - INFO: Evaluate at epoch 2015! +[2024-05-26 01:16:21,132] - INFO: Eval PSNR (max): 38.164 (2010) SSIM (max): 0.9615 (2010) +[2024-05-26 01:16:21,132] - INFO: Eval PSNR (current): 38.148 (2015) SSIM (current): 0.9615 (2015) +[2024-05-26 01:16:21,132] - INFO: Evaluation over. +[2024-05-26 01:16:41,915] - INFO: Epoch 2016/9999, Iter 201520: Loss = 0.010122667998075485, lr = [2.5e-05] +[2024-05-26 01:17:09,106] - INFO: Epoch 2016/9999, Iter 201560: Loss = 0.017357368022203445, lr = [2.5e-05] +[2024-05-26 01:17:37,618] - INFO: Epoch 2017/9999, Iter 201600: Loss = 0.008641622960567474, lr = [2.5e-05] +[2024-05-26 01:18:04,977] - INFO: Epoch 2017/9999, Iter 201640: Loss = 0.010748087428510189, lr = [2.5e-05] +[2024-05-26 01:18:32,191] - INFO: Epoch 2017/9999, Iter 201680: Loss = 0.010208431631326675, lr = [2.5e-05] +[2024-05-26 01:19:01,037] - INFO: Epoch 2018/9999, Iter 201720: Loss = 0.011622183956205845, lr = [2.5e-05] +[2024-05-26 01:19:28,235] - INFO: Epoch 2018/9999, Iter 201760: Loss = 0.008149574510753155, lr = [2.5e-05] +[2024-05-26 01:19:56,822] - INFO: Epoch 2019/9999, Iter 201800: Loss = 0.011048858985304832, lr = [2.5e-05] +[2024-05-26 01:20:24,260] - INFO: Epoch 2019/9999, Iter 201840: Loss = 0.01590755209326744, lr = [2.5e-05] +[2024-05-26 01:20:51,401] - INFO: Epoch 2019/9999, Iter 201880: Loss = 0.007554950658231974, lr = [2.5e-05] +[2024-05-26 01:21:20,149] - INFO: Epoch 2020/9999, Iter 201920: Loss = 0.01360518392175436, lr = [2.5e-05] +[2024-05-26 01:21:47,384] - INFO: Epoch 2020/9999, Iter 201960: Loss = 0.010790389962494373, lr = [2.5e-05] +[2024-05-26 01:22:14,302] - INFO: Evaluate at epoch 2020! +[2024-05-26 01:22:29,239] - INFO: Eval PSNR (max): 38.169 (2020) SSIM (max): 0.9615 (2020) +[2024-05-26 01:22:29,239] - INFO: Eval PSNR (current): 38.169 (2020) SSIM (current): 0.9615 (2020) +[2024-05-26 01:22:29,240] - INFO: Evaluation over. +[2024-05-26 01:22:35,873] - INFO: Epoch 2021/9999, Iter 202000: Loss = 0.016774578019976616, lr = [2.5e-05] +[2024-05-26 01:23:03,239] - INFO: Epoch 2021/9999, Iter 202040: Loss = 0.012314758263528347, lr = [2.5e-05] +[2024-05-26 01:23:30,434] - INFO: Epoch 2021/9999, Iter 202080: Loss = 0.008958869613707066, lr = [2.5e-05] +[2024-05-26 01:23:59,110] - INFO: Epoch 2022/9999, Iter 202120: Loss = 0.009634662419557571, lr = [2.5e-05] +[2024-05-26 01:24:26,283] - INFO: Epoch 2022/9999, Iter 202160: Loss = 0.010530798695981503, lr = [2.5e-05] +[2024-05-26 01:24:54,756] - INFO: Epoch 2023/9999, Iter 202200: Loss = 0.007832038216292858, lr = [2.5e-05] +[2024-05-26 01:25:21,988] - INFO: Epoch 2023/9999, Iter 202240: Loss = 0.01091862190514803, lr = [2.5e-05] +[2024-05-26 01:25:49,181] - INFO: Epoch 2023/9999, Iter 202280: Loss = 0.013139152899384499, lr = [2.5e-05] +[2024-05-26 01:26:18,039] - INFO: Epoch 2024/9999, Iter 202320: Loss = 0.010166686028242111, lr = [2.5e-05] +[2024-05-26 01:26:45,233] - INFO: Epoch 2024/9999, Iter 202360: Loss = 0.008077675476670265, lr = [2.5e-05] +[2024-05-26 01:27:13,901] - INFO: Epoch 2025/9999, Iter 202400: Loss = 0.012094874866306782, lr = [2.5e-05] +[2024-05-26 01:27:41,225] - INFO: Epoch 2025/9999, Iter 202440: Loss = 0.018530268222093582, lr = [2.5e-05] +[2024-05-26 01:28:08,406] - INFO: Epoch 2025/9999, Iter 202480: Loss = 0.01429051160812378, lr = [2.5e-05] +[2024-05-26 01:28:21,661] - INFO: Evaluate at epoch 2025! +[2024-05-26 01:28:26,216] - INFO: Eval PSNR (max): 38.169 (2020) SSIM (max): 0.9615 (2020) +[2024-05-26 01:28:26,216] - INFO: Eval PSNR (current): 38.160 (2025) SSIM (current): 0.9615 (2025) +[2024-05-26 01:28:26,216] - INFO: Evaluation over. +[2024-05-26 01:28:46,376] - INFO: Epoch 2026/9999, Iter 202520: Loss = 0.012709952890872955, lr = [2.5e-05] +[2024-05-26 01:29:13,564] - INFO: Epoch 2026/9999, Iter 202560: Loss = 0.015007728710770607, lr = [2.5e-05] +[2024-05-26 01:29:42,186] - INFO: Epoch 2027/9999, Iter 202600: Loss = 0.01636362075805664, lr = [2.5e-05] +[2024-05-26 01:30:09,490] - INFO: Epoch 2027/9999, Iter 202640: Loss = 0.00808419194072485, lr = [2.5e-05] +[2024-05-26 01:30:36,673] - INFO: Epoch 2027/9999, Iter 202680: Loss = 0.01084266509860754, lr = [2.5e-05] +[2024-05-26 01:31:05,321] - INFO: Epoch 2028/9999, Iter 202720: Loss = 0.009987122379243374, lr = [2.5e-05] +[2024-05-26 01:31:32,532] - INFO: Epoch 2028/9999, Iter 202760: Loss = 0.02131562866270542, lr = [2.5e-05] +[2024-05-26 01:32:00,875] - INFO: Epoch 2029/9999, Iter 202800: Loss = 0.01015582587569952, lr = [2.5e-05] +[2024-05-26 01:32:28,255] - INFO: Epoch 2029/9999, Iter 202840: Loss = 0.013371847569942474, lr = [2.5e-05] +[2024-05-26 01:32:55,525] - INFO: Epoch 2029/9999, Iter 202880: Loss = 0.013434447348117828, lr = [2.5e-05] +[2024-05-26 01:33:24,038] - INFO: Epoch 2030/9999, Iter 202920: Loss = 0.012143422849476337, lr = [2.5e-05] +[2024-05-26 01:33:51,320] - INFO: Epoch 2030/9999, Iter 202960: Loss = 0.010076784528791904, lr = [2.5e-05] +[2024-05-26 01:34:18,269] - INFO: Evaluate at epoch 2030! +[2024-05-26 01:34:22,884] - INFO: Eval PSNR (max): 38.169 (2020) SSIM (max): 0.9615 (2020) +[2024-05-26 01:34:22,884] - INFO: Eval PSNR (current): 38.165 (2030) SSIM (current): 0.9615 (2030) +[2024-05-26 01:34:22,884] - INFO: Evaluation over. +[2024-05-26 01:34:29,726] - INFO: Epoch 2031/9999, Iter 203000: Loss = 0.0071308184415102005, lr = [2.5e-05] +[2024-05-26 01:34:57,045] - INFO: Epoch 2031/9999, Iter 203040: Loss = 0.008614158257842064, lr = [2.5e-05] +[2024-05-26 01:35:24,259] - INFO: Epoch 2031/9999, Iter 203080: Loss = 0.013165819458663464, lr = [2.5e-05] +[2024-05-26 01:35:52,850] - INFO: Epoch 2032/9999, Iter 203120: Loss = 0.01681527867913246, lr = [2.5e-05] +[2024-05-26 01:36:20,031] - INFO: Epoch 2032/9999, Iter 203160: Loss = 0.010351616889238358, lr = [2.5e-05] +[2024-05-26 01:36:48,745] - INFO: Epoch 2033/9999, Iter 203200: Loss = 0.0038740807212889194, lr = [2.5e-05] +[2024-05-26 01:37:16,032] - INFO: Epoch 2033/9999, Iter 203240: Loss = 0.0170509722083807, lr = [2.5e-05] +[2024-05-26 01:37:43,282] - INFO: Epoch 2033/9999, Iter 203280: Loss = 0.02008788473904133, lr = [2.5e-05] +[2024-05-26 01:38:11,798] - INFO: Epoch 2034/9999, Iter 203320: Loss = 0.011844469234347343, lr = [2.5e-05] +[2024-05-26 01:38:39,047] - INFO: Epoch 2034/9999, Iter 203360: Loss = 0.012900186702609062, lr = [2.5e-05] +[2024-05-26 01:39:07,395] - INFO: Epoch 2035/9999, Iter 203400: Loss = 0.01035978365689516, lr = [2.5e-05] +[2024-05-26 01:39:34,652] - INFO: Epoch 2035/9999, Iter 203440: Loss = 0.008504793047904968, lr = [2.5e-05] +[2024-05-26 01:40:01,874] - INFO: Epoch 2035/9999, Iter 203480: Loss = 0.013534793630242348, lr = [2.5e-05] +[2024-05-26 01:40:15,192] - INFO: Evaluate at epoch 2035! +[2024-05-26 01:40:19,944] - INFO: Eval PSNR (max): 38.169 (2020) SSIM (max): 0.9615 (2020) +[2024-05-26 01:40:19,944] - INFO: Eval PSNR (current): 38.141 (2035) SSIM (current): 0.9614 (2035) +[2024-05-26 01:40:19,944] - INFO: Evaluation over. +[2024-05-26 01:40:40,307] - INFO: Epoch 2036/9999, Iter 203520: Loss = 0.011619208380579948, lr = [2.5e-05] +[2024-05-26 01:41:07,499] - INFO: Epoch 2036/9999, Iter 203560: Loss = 0.009608165360987186, lr = [2.5e-05] +[2024-05-26 01:41:35,940] - INFO: Epoch 2037/9999, Iter 203600: Loss = 0.009676684625446796, lr = [2.5e-05] +[2024-05-26 01:42:03,196] - INFO: Epoch 2037/9999, Iter 203640: Loss = 0.0125169288367033, lr = [2.5e-05] +[2024-05-26 01:42:30,365] - INFO: Epoch 2037/9999, Iter 203680: Loss = 0.009691812098026276, lr = [2.5e-05] +[2024-05-26 01:42:59,054] - INFO: Epoch 2038/9999, Iter 203720: Loss = 0.012541579082608223, lr = [2.5e-05] +[2024-05-26 01:43:26,235] - INFO: Epoch 2038/9999, Iter 203760: Loss = 0.011216826736927032, lr = [2.5e-05] +[2024-05-26 01:43:54,754] - INFO: Epoch 2039/9999, Iter 203800: Loss = 0.014897246845066547, lr = [2.5e-05] +[2024-05-26 01:44:21,987] - INFO: Epoch 2039/9999, Iter 203840: Loss = 0.012649415992200375, lr = [2.5e-05] +[2024-05-26 01:44:49,207] - INFO: Epoch 2039/9999, Iter 203880: Loss = 0.00775048928335309, lr = [2.5e-05] +[2024-05-26 01:45:18,006] - INFO: Epoch 2040/9999, Iter 203920: Loss = 0.010477731935679913, lr = [2.5e-05] +[2024-05-26 01:45:45,179] - INFO: Epoch 2040/9999, Iter 203960: Loss = 0.01933027058839798, lr = [2.5e-05] +[2024-05-26 01:46:12,124] - INFO: Evaluate at epoch 2040! +[2024-05-26 01:46:16,648] - INFO: Eval PSNR (max): 38.169 (2020) SSIM (max): 0.9615 (2020) +[2024-05-26 01:46:16,648] - INFO: Eval PSNR (current): 38.166 (2040) SSIM (current): 0.9615 (2040) +[2024-05-26 01:46:16,648] - INFO: Evaluation over. +[2024-05-26 01:46:23,222] - INFO: Epoch 2041/9999, Iter 204000: Loss = 0.009562348015606403, lr = [2.5e-05] +[2024-05-26 01:46:50,620] - INFO: Epoch 2041/9999, Iter 204040: Loss = 0.01401219516992569, lr = [2.5e-05] +[2024-05-26 01:47:17,843] - INFO: Epoch 2041/9999, Iter 204080: Loss = 0.01801997423171997, lr = [2.5e-05] +[2024-05-26 01:47:46,440] - INFO: Epoch 2042/9999, Iter 204120: Loss = 0.008233392611145973, lr = [2.5e-05] +[2024-05-26 01:48:13,679] - INFO: Epoch 2042/9999, Iter 204160: Loss = 0.0174647755920887, lr = [2.5e-05] +[2024-05-26 01:48:42,268] - INFO: Epoch 2043/9999, Iter 204200: Loss = 0.016370775178074837, lr = [2.5e-05] +[2024-05-26 01:49:09,533] - INFO: Epoch 2043/9999, Iter 204240: Loss = 0.013673091307282448, lr = [2.5e-05] +[2024-05-26 01:49:36,731] - INFO: Epoch 2043/9999, Iter 204280: Loss = 0.012606848962605, lr = [2.5e-05] +[2024-05-26 01:50:05,431] - INFO: Epoch 2044/9999, Iter 204320: Loss = 0.010758889839053154, lr = [2.5e-05] +[2024-05-26 01:50:32,723] - INFO: Epoch 2044/9999, Iter 204360: Loss = 0.010694141499698162, lr = [2.5e-05] +[2024-05-26 01:51:01,073] - INFO: Epoch 2045/9999, Iter 204400: Loss = 0.0069199674762785435, lr = [2.5e-05] +[2024-05-26 01:51:28,400] - INFO: Epoch 2045/9999, Iter 204440: Loss = 0.014546431601047516, lr = [2.5e-05] +[2024-05-26 01:51:55,633] - INFO: Epoch 2045/9999, Iter 204480: Loss = 0.010711814276874065, lr = [2.5e-05] +[2024-05-26 01:52:08,957] - INFO: Evaluate at epoch 2045! +[2024-05-26 01:52:13,506] - INFO: Eval PSNR (max): 38.169 (2020) SSIM (max): 0.9615 (2020) +[2024-05-26 01:52:13,506] - INFO: Eval PSNR (current): 38.155 (2045) SSIM (current): 0.9615 (2045) +[2024-05-26 01:52:13,506] - INFO: Evaluation over. +[2024-05-26 01:52:33,881] - INFO: Epoch 2046/9999, Iter 204520: Loss = 0.010059120133519173, lr = [2.5e-05] +[2024-05-26 01:53:01,078] - INFO: Epoch 2046/9999, Iter 204560: Loss = 0.017253752797842026, lr = [2.5e-05] +[2024-05-26 01:53:29,753] - INFO: Epoch 2047/9999, Iter 204600: Loss = 0.010309859178960323, lr = [2.5e-05] +[2024-05-26 01:53:56,997] - INFO: Epoch 2047/9999, Iter 204640: Loss = 0.010929982177913189, lr = [2.5e-05] +[2024-05-26 01:54:24,228] - INFO: Epoch 2047/9999, Iter 204680: Loss = 0.00580044137313962, lr = [2.5e-05] +[2024-05-26 01:54:52,942] - INFO: Epoch 2048/9999, Iter 204720: Loss = 0.015596679411828518, lr = [2.5e-05] +[2024-05-26 01:55:20,081] - INFO: Epoch 2048/9999, Iter 204760: Loss = 0.008342853747308254, lr = [2.5e-05] +[2024-05-26 01:55:48,784] - INFO: Epoch 2049/9999, Iter 204800: Loss = 0.014448050409555435, lr = [2.5e-05] +[2024-05-26 01:56:16,080] - INFO: Epoch 2049/9999, Iter 204840: Loss = 0.013602823950350285, lr = [2.5e-05] +[2024-05-26 01:56:43,264] - INFO: Epoch 2049/9999, Iter 204880: Loss = 0.0163281112909317, lr = [2.5e-05] +[2024-05-26 01:57:11,883] - INFO: Epoch 2050/9999, Iter 204920: Loss = 0.009832331910729408, lr = [2.5e-05] +[2024-05-26 01:57:39,163] - INFO: Epoch 2050/9999, Iter 204960: Loss = 0.01789400726556778, lr = [2.5e-05] +[2024-05-26 01:58:05,971] - INFO: Evaluate at epoch 2050! +[2024-05-26 01:58:10,660] - INFO: Eval PSNR (max): 38.169 (2020) SSIM (max): 0.9615 (2020) +[2024-05-26 01:58:10,660] - INFO: Eval PSNR (current): 38.167 (2050) SSIM (current): 0.9615 (2050) +[2024-05-26 01:58:10,660] - INFO: Evaluation over. +[2024-05-26 01:58:17,544] - INFO: Epoch 2051/9999, Iter 205000: Loss = 0.014712040312588215, lr = [2.5e-05] +[2024-05-26 01:58:44,850] - INFO: Epoch 2051/9999, Iter 205040: Loss = 0.020455434918403625, lr = [2.5e-05] +[2024-05-26 01:59:12,093] - INFO: Epoch 2051/9999, Iter 205080: Loss = 0.010953395627439022, lr = [2.5e-05] +[2024-05-26 01:59:40,599] - INFO: Epoch 2052/9999, Iter 205120: Loss = 0.013146878220140934, lr = [2.5e-05] +[2024-05-26 02:00:07,783] - INFO: Epoch 2052/9999, Iter 205160: Loss = 0.011726087890565395, lr = [2.5e-05] +[2024-05-26 02:00:36,373] - INFO: Epoch 2053/9999, Iter 205200: Loss = 0.016345849260687828, lr = [2.5e-05] +[2024-05-26 02:01:03,623] - INFO: Epoch 2053/9999, Iter 205240: Loss = 0.020734142512083054, lr = [2.5e-05] +[2024-05-26 02:01:30,850] - INFO: Epoch 2053/9999, Iter 205280: Loss = 0.015021121129393578, lr = [2.5e-05] +[2024-05-26 02:01:59,447] - INFO: Epoch 2054/9999, Iter 205320: Loss = 0.02530684694647789, lr = [2.5e-05] +[2024-05-26 02:02:26,660] - INFO: Epoch 2054/9999, Iter 205360: Loss = 0.01476235780864954, lr = [2.5e-05] +[2024-05-26 02:02:55,190] - INFO: Epoch 2055/9999, Iter 205400: Loss = 0.01632869429886341, lr = [2.5e-05] +[2024-05-26 02:03:22,485] - INFO: Epoch 2055/9999, Iter 205440: Loss = 0.00852460041642189, lr = [2.5e-05] +[2024-05-26 02:03:49,643] - INFO: Epoch 2055/9999, Iter 205480: Loss = 0.008436440490186214, lr = [2.5e-05] +[2024-05-26 02:04:02,911] - INFO: Evaluate at epoch 2055! +[2024-05-26 02:04:13,005] - INFO: Eval PSNR (max): 38.174 (2055) SSIM (max): 0.9615 (2020) +[2024-05-26 02:04:13,006] - INFO: Eval PSNR (current): 38.174 (2055) SSIM (current): 0.9615 (2055) +[2024-05-26 02:04:13,006] - INFO: Evaluation over. +[2024-05-26 02:04:33,459] - INFO: Epoch 2056/9999, Iter 205520: Loss = 0.01031116209924221, lr = [2.5e-05] +[2024-05-26 02:05:00,684] - INFO: Epoch 2056/9999, Iter 205560: Loss = 0.01593104377388954, lr = [2.5e-05] +[2024-05-26 02:05:29,370] - INFO: Epoch 2057/9999, Iter 205600: Loss = 0.028707588091492653, lr = [2.5e-05] +[2024-05-26 02:05:56,603] - INFO: Epoch 2057/9999, Iter 205640: Loss = 0.004656777251511812, lr = [2.5e-05] +[2024-05-26 02:06:23,835] - INFO: Epoch 2057/9999, Iter 205680: Loss = 0.012417376041412354, lr = [2.5e-05] +[2024-05-26 02:06:52,479] - INFO: Epoch 2058/9999, Iter 205720: Loss = 0.0073457034304738045, lr = [2.5e-05] +[2024-05-26 02:07:19,769] - INFO: Epoch 2058/9999, Iter 205760: Loss = 0.02398315630853176, lr = [2.5e-05] +[2024-05-26 02:07:48,441] - INFO: Epoch 2059/9999, Iter 205800: Loss = 0.02071673609316349, lr = [2.5e-05] +[2024-05-26 02:08:15,737] - INFO: Epoch 2059/9999, Iter 205840: Loss = 0.014511991292238235, lr = [2.5e-05] +[2024-05-26 02:08:42,975] - INFO: Epoch 2059/9999, Iter 205880: Loss = 0.009783828631043434, lr = [2.5e-05] +[2024-05-26 02:09:11,429] - INFO: Epoch 2060/9999, Iter 205920: Loss = 0.02158247120678425, lr = [2.5e-05] +[2024-05-26 02:09:38,652] - INFO: Epoch 2060/9999, Iter 205960: Loss = 0.009827137924730778, lr = [2.5e-05] +[2024-05-26 02:10:05,519] - INFO: Evaluate at epoch 2060! +[2024-05-26 02:10:10,083] - INFO: Eval PSNR (max): 38.174 (2055) SSIM (max): 0.9615 (2020) +[2024-05-26 02:10:10,083] - INFO: Eval PSNR (current): 38.160 (2060) SSIM (current): 0.9614 (2060) +[2024-05-26 02:10:10,083] - INFO: Evaluation over. +[2024-05-26 02:10:16,852] - INFO: Epoch 2061/9999, Iter 206000: Loss = 0.02016775868833065, lr = [2.5e-05] +[2024-05-26 02:10:44,194] - INFO: Epoch 2061/9999, Iter 206040: Loss = 0.010892211459577084, lr = [2.5e-05] +[2024-05-26 02:11:11,378] - INFO: Epoch 2061/9999, Iter 206080: Loss = 0.016968658193945885, lr = [2.5e-05] +[2024-05-26 02:11:40,042] - INFO: Epoch 2062/9999, Iter 206120: Loss = 0.013239061459898949, lr = [2.5e-05] +[2024-05-26 02:12:07,232] - INFO: Epoch 2062/9999, Iter 206160: Loss = 0.010546812787652016, lr = [2.5e-05] +[2024-05-26 02:12:35,714] - INFO: Epoch 2063/9999, Iter 206200: Loss = 0.01432502269744873, lr = [2.5e-05] +[2024-05-26 02:13:03,032] - INFO: Epoch 2063/9999, Iter 206240: Loss = 0.013562433421611786, lr = [2.5e-05] +[2024-05-26 02:13:30,279] - INFO: Epoch 2063/9999, Iter 206280: Loss = 0.006341243628412485, lr = [2.5e-05] +[2024-05-26 02:13:58,914] - INFO: Epoch 2064/9999, Iter 206320: Loss = 0.011480732820928097, lr = [2.5e-05] +[2024-05-26 02:14:26,043] - INFO: Epoch 2064/9999, Iter 206360: Loss = 0.015341785736382008, lr = [2.5e-05] +[2024-05-26 02:14:54,630] - INFO: Epoch 2065/9999, Iter 206400: Loss = 0.017969870939850807, lr = [2.5e-05] +[2024-05-26 02:15:21,944] - INFO: Epoch 2065/9999, Iter 206440: Loss = 0.010532817803323269, lr = [2.5e-05] +[2024-05-26 02:15:49,165] - INFO: Epoch 2065/9999, Iter 206480: Loss = 0.012235299684107304, lr = [2.5e-05] +[2024-05-26 02:16:02,507] - INFO: Evaluate at epoch 2065! +[2024-05-26 02:16:07,065] - INFO: Eval PSNR (max): 38.174 (2055) SSIM (max): 0.9615 (2020) +[2024-05-26 02:16:07,065] - INFO: Eval PSNR (current): 38.159 (2065) SSIM (current): 0.9614 (2065) +[2024-05-26 02:16:07,065] - INFO: Evaluation over. +[2024-05-26 02:16:27,578] - INFO: Epoch 2066/9999, Iter 206520: Loss = 0.0066351150162518024, lr = [2.5e-05] +[2024-05-26 02:16:54,891] - INFO: Epoch 2066/9999, Iter 206560: Loss = 0.02059130370616913, lr = [2.5e-05] +[2024-05-26 02:17:23,322] - INFO: Epoch 2067/9999, Iter 206600: Loss = 0.01242079772055149, lr = [2.5e-05] +[2024-05-26 02:17:50,613] - INFO: Epoch 2067/9999, Iter 206640: Loss = 0.023009082302451134, lr = [2.5e-05] +[2024-05-26 02:18:17,859] - INFO: Epoch 2067/9999, Iter 206680: Loss = 0.009282288141548634, lr = [2.5e-05] +[2024-05-26 02:18:46,589] - INFO: Epoch 2068/9999, Iter 206720: Loss = 0.01841270737349987, lr = [2.5e-05] +[2024-05-26 02:19:13,785] - INFO: Epoch 2068/9999, Iter 206760: Loss = 0.017357109114527702, lr = [2.5e-05] +[2024-05-26 02:19:42,416] - INFO: Epoch 2069/9999, Iter 206800: Loss = 0.012158796191215515, lr = [2.5e-05] +[2024-05-26 02:20:09,702] - INFO: Epoch 2069/9999, Iter 206840: Loss = 0.011840310879051685, lr = [2.5e-05] +[2024-05-26 02:20:36,898] - INFO: Epoch 2069/9999, Iter 206880: Loss = 0.009652248583734035, lr = [2.5e-05] +[2024-05-26 02:21:05,661] - INFO: Epoch 2070/9999, Iter 206920: Loss = 0.009953899309039116, lr = [2.5e-05] +[2024-05-26 02:21:32,850] - INFO: Epoch 2070/9999, Iter 206960: Loss = 0.014784720726311207, lr = [2.5e-05] +[2024-05-26 02:21:59,772] - INFO: Evaluate at epoch 2070! +[2024-05-26 02:22:04,383] - INFO: Eval PSNR (max): 38.174 (2055) SSIM (max): 0.9615 (2020) +[2024-05-26 02:22:04,384] - INFO: Eval PSNR (current): 38.149 (2070) SSIM (current): 0.9614 (2070) +[2024-05-26 02:22:04,384] - INFO: Evaluation over. +[2024-05-26 02:22:11,139] - INFO: Epoch 2071/9999, Iter 207000: Loss = 0.01071136724203825, lr = [2.5e-05] +[2024-05-26 02:22:38,424] - INFO: Epoch 2071/9999, Iter 207040: Loss = 0.01385716162621975, lr = [2.5e-05] +[2024-05-26 02:23:05,594] - INFO: Epoch 2071/9999, Iter 207080: Loss = 0.008843248710036278, lr = [2.5e-05] +[2024-05-26 02:23:34,248] - INFO: Epoch 2072/9999, Iter 207120: Loss = 0.008352996781468391, lr = [2.5e-05] +[2024-05-26 02:24:01,449] - INFO: Epoch 2072/9999, Iter 207160: Loss = 0.008248494006693363, lr = [2.5e-05] +[2024-05-26 02:24:30,073] - INFO: Epoch 2073/9999, Iter 207200: Loss = 0.01523031760007143, lr = [2.5e-05] +[2024-05-26 02:24:57,346] - INFO: Epoch 2073/9999, Iter 207240: Loss = 0.008491290733218193, lr = [2.5e-05] +[2024-05-26 02:25:24,563] - INFO: Epoch 2073/9999, Iter 207280: Loss = 0.007872621528804302, lr = [2.5e-05] +[2024-05-26 02:25:52,939] - INFO: Epoch 2074/9999, Iter 207320: Loss = 0.014815257862210274, lr = [2.5e-05] +[2024-05-26 02:26:20,069] - INFO: Epoch 2074/9999, Iter 207360: Loss = 0.003934336360543966, lr = [2.5e-05] +[2024-05-26 02:26:56,704] - INFO: Epoch 2075/9999, Iter 207400: Loss = 0.006532976869493723, lr = [2.5e-05] +[2024-05-26 02:27:24,500] - INFO: Epoch 2075/9999, Iter 207440: Loss = 0.013826540671288967, lr = [2.5e-05] +[2024-05-26 02:27:51,710] - INFO: Epoch 2075/9999, Iter 207480: Loss = 0.015264864079654217, lr = [2.5e-05] +[2024-05-26 02:28:06,955] - INFO: Evaluate at epoch 2075! +[2024-05-26 02:28:13,545] - INFO: Eval PSNR (max): 38.174 (2055) SSIM (max): 0.9615 (2020) +[2024-05-26 02:28:13,546] - INFO: Eval PSNR (current): 38.123 (2075) SSIM (current): 0.9613 (2075) +[2024-05-26 02:28:13,546] - INFO: Evaluation over. +[2024-05-26 02:28:34,404] - INFO: Epoch 2076/9999, Iter 207520: Loss = 0.013897113502025604, lr = [2.5e-05] +[2024-05-26 02:29:02,846] - INFO: Epoch 2076/9999, Iter 207560: Loss = 0.015906384214758873, lr = [2.5e-05] +[2024-05-26 02:29:31,661] - INFO: Epoch 2077/9999, Iter 207600: Loss = 0.01170516200363636, lr = [2.5e-05] +[2024-05-26 02:29:59,072] - INFO: Epoch 2077/9999, Iter 207640: Loss = 0.01042222697287798, lr = [2.5e-05] +[2024-05-26 02:30:26,363] - INFO: Epoch 2077/9999, Iter 207680: Loss = 0.012646139599382877, lr = [2.5e-05] +[2024-05-26 02:30:57,642] - INFO: Epoch 2078/9999, Iter 207720: Loss = 0.006860767491161823, lr = [2.5e-05] +[2024-05-26 02:31:24,882] - INFO: Epoch 2078/9999, Iter 207760: Loss = 0.011235691606998444, lr = [2.5e-05] +[2024-05-26 02:31:54,554] - INFO: Epoch 2079/9999, Iter 207800: Loss = 0.005215945187956095, lr = [2.5e-05] +[2024-05-26 02:32:21,925] - INFO: Epoch 2079/9999, Iter 207840: Loss = 0.01442481018602848, lr = [2.5e-05] +[2024-05-26 02:32:49,698] - INFO: Epoch 2079/9999, Iter 207880: Loss = 0.010393901728093624, lr = [2.5e-05] +[2024-05-26 02:33:18,480] - INFO: Epoch 2080/9999, Iter 207920: Loss = 0.010576916858553886, lr = [2.5e-05] +[2024-05-26 02:33:45,707] - INFO: Epoch 2080/9999, Iter 207960: Loss = 0.010278959758579731, lr = [2.5e-05] +[2024-05-26 02:34:12,597] - INFO: Evaluate at epoch 2080! +[2024-05-26 02:34:17,194] - INFO: Eval PSNR (max): 38.174 (2055) SSIM (max): 0.9615 (2020) +[2024-05-26 02:34:17,194] - INFO: Eval PSNR (current): 38.161 (2080) SSIM (current): 0.9614 (2080) +[2024-05-26 02:34:17,194] - INFO: Evaluation over. +[2024-05-26 02:34:24,596] - INFO: Epoch 2081/9999, Iter 208000: Loss = 0.018036670982837677, lr = [2.5e-05] +[2024-05-26 02:34:51,874] - INFO: Epoch 2081/9999, Iter 208040: Loss = 0.013119369745254517, lr = [2.5e-05] +[2024-05-26 02:35:19,094] - INFO: Epoch 2081/9999, Iter 208080: Loss = 0.0216501634567976, lr = [2.5e-05] +[2024-05-26 02:35:47,847] - INFO: Epoch 2082/9999, Iter 208120: Loss = 0.012251758016645908, lr = [2.5e-05] +[2024-05-26 02:36:15,099] - INFO: Epoch 2082/9999, Iter 208160: Loss = 0.008156116120517254, lr = [2.5e-05] +[2024-05-26 02:36:43,749] - INFO: Epoch 2083/9999, Iter 208200: Loss = 0.007176014129072428, lr = [2.5e-05] +[2024-05-26 02:37:11,120] - INFO: Epoch 2083/9999, Iter 208240: Loss = 0.009887115098536015, lr = [2.5e-05] +[2024-05-26 02:37:38,387] - INFO: Epoch 2083/9999, Iter 208280: Loss = 0.007832242175936699, lr = [2.5e-05] +[2024-05-26 02:38:07,111] - INFO: Epoch 2084/9999, Iter 208320: Loss = 0.009200508706271648, lr = [2.5e-05] +[2024-05-26 02:38:34,320] - INFO: Epoch 2084/9999, Iter 208360: Loss = 0.015966562554240227, lr = [2.5e-05] +[2024-05-26 02:39:02,717] - INFO: Epoch 2085/9999, Iter 208400: Loss = 0.011425791308283806, lr = [2.5e-05] +[2024-05-26 02:39:29,974] - INFO: Epoch 2085/9999, Iter 208440: Loss = 0.01176391076296568, lr = [2.5e-05] +[2024-05-26 02:39:57,172] - INFO: Epoch 2085/9999, Iter 208480: Loss = 0.009080151095986366, lr = [2.5e-05] +[2024-05-26 02:40:10,454] - INFO: Evaluate at epoch 2085! +[2024-05-26 02:40:15,116] - INFO: Eval PSNR (max): 38.174 (2055) SSIM (max): 0.9615 (2020) +[2024-05-26 02:40:15,116] - INFO: Eval PSNR (current): 38.147 (2085) SSIM (current): 0.9615 (2085) +[2024-05-26 02:40:15,116] - INFO: Evaluation over. +[2024-05-26 02:40:35,868] - INFO: Epoch 2086/9999, Iter 208520: Loss = 0.012559782713651657, lr = [2.5e-05] +[2024-05-26 02:41:03,066] - INFO: Epoch 2086/9999, Iter 208560: Loss = 0.01682823896408081, lr = [2.5e-05] +[2024-05-26 02:41:31,504] - INFO: Epoch 2087/9999, Iter 208600: Loss = 0.011698411777615547, lr = [2.5e-05] +[2024-05-26 02:41:58,733] - INFO: Epoch 2087/9999, Iter 208640: Loss = 0.020621851086616516, lr = [2.5e-05] +[2024-05-26 02:42:25,966] - INFO: Epoch 2087/9999, Iter 208680: Loss = 0.009096212685108185, lr = [2.5e-05] +[2024-05-26 02:42:54,553] - INFO: Epoch 2088/9999, Iter 208720: Loss = 0.0096843671053648, lr = [2.5e-05] +[2024-05-26 02:43:21,699] - INFO: Epoch 2088/9999, Iter 208760: Loss = 0.013108289800584316, lr = [2.5e-05] +[2024-05-26 02:43:50,056] - INFO: Epoch 2089/9999, Iter 208800: Loss = 0.007109472993761301, lr = [2.5e-05] +[2024-05-26 02:44:17,381] - INFO: Epoch 2089/9999, Iter 208840: Loss = 0.02660054713487625, lr = [2.5e-05] +[2024-05-26 02:44:44,687] - INFO: Epoch 2089/9999, Iter 208880: Loss = 0.01930915005505085, lr = [2.5e-05] +[2024-05-26 02:45:13,187] - INFO: Epoch 2090/9999, Iter 208920: Loss = 0.013214679434895515, lr = [2.5e-05] +[2024-05-26 02:45:40,363] - INFO: Epoch 2090/9999, Iter 208960: Loss = 0.012361784465610981, lr = [2.5e-05] +[2024-05-26 02:46:07,326] - INFO: Evaluate at epoch 2090! +[2024-05-26 02:46:17,103] - INFO: Eval PSNR (max): 38.178 (2090) SSIM (max): 0.9615 (2020) +[2024-05-26 02:46:17,104] - INFO: Eval PSNR (current): 38.178 (2090) SSIM (current): 0.9615 (2090) +[2024-05-26 02:46:17,104] - INFO: Evaluation over. +[2024-05-26 02:46:24,214] - INFO: Epoch 2091/9999, Iter 209000: Loss = 0.014812970533967018, lr = [2.5e-05] +[2024-05-26 02:46:51,503] - INFO: Epoch 2091/9999, Iter 209040: Loss = 0.010523022152483463, lr = [2.5e-05] +[2024-05-26 02:47:18,773] - INFO: Epoch 2091/9999, Iter 209080: Loss = 0.0041739363223314285, lr = [2.5e-05] +[2024-05-26 02:47:47,359] - INFO: Epoch 2092/9999, Iter 209120: Loss = 0.013843879103660583, lr = [2.5e-05] +[2024-05-26 02:48:14,535] - INFO: Epoch 2092/9999, Iter 209160: Loss = 0.015392225235700607, lr = [2.5e-05] +[2024-05-26 02:48:43,096] - INFO: Epoch 2093/9999, Iter 209200: Loss = 0.008525410667061806, lr = [2.5e-05] +[2024-05-26 02:49:10,325] - INFO: Epoch 2093/9999, Iter 209240: Loss = 0.006563746370375156, lr = [2.5e-05] +[2024-05-26 02:49:37,504] - INFO: Epoch 2093/9999, Iter 209280: Loss = 0.01996956765651703, lr = [2.5e-05] +[2024-05-26 02:50:06,049] - INFO: Epoch 2094/9999, Iter 209320: Loss = 0.01473488099873066, lr = [2.5e-05] +[2024-05-26 02:50:33,229] - INFO: Epoch 2094/9999, Iter 209360: Loss = 0.020336905494332314, lr = [2.5e-05] +[2024-05-26 02:51:01,942] - INFO: Epoch 2095/9999, Iter 209400: Loss = 0.013363102450966835, lr = [2.5e-05] +[2024-05-26 02:51:29,218] - INFO: Epoch 2095/9999, Iter 209440: Loss = 0.01640523411333561, lr = [2.5e-05] +[2024-05-26 02:51:56,439] - INFO: Epoch 2095/9999, Iter 209480: Loss = 0.011735648848116398, lr = [2.5e-05] +[2024-05-26 02:52:09,882] - INFO: Evaluate at epoch 2095! +[2024-05-26 02:52:14,335] - INFO: Eval PSNR (max): 38.178 (2090) SSIM (max): 0.9615 (2020) +[2024-05-26 02:52:14,335] - INFO: Eval PSNR (current): 38.149 (2095) SSIM (current): 0.9615 (2095) +[2024-05-26 02:52:14,336] - INFO: Evaluation over. +[2024-05-26 02:52:34,939] - INFO: Epoch 2096/9999, Iter 209520: Loss = 0.010285879485309124, lr = [2.5e-05] +[2024-05-26 02:53:02,123] - INFO: Epoch 2096/9999, Iter 209560: Loss = 0.00784040056169033, lr = [2.5e-05] +[2024-05-26 02:53:30,730] - INFO: Epoch 2097/9999, Iter 209600: Loss = 0.009955556131899357, lr = [2.5e-05] +[2024-05-26 02:53:58,037] - INFO: Epoch 2097/9999, Iter 209640: Loss = 0.00786382146179676, lr = [2.5e-05] +[2024-05-26 02:54:25,256] - INFO: Epoch 2097/9999, Iter 209680: Loss = 0.007653288543224335, lr = [2.5e-05] +[2024-05-26 02:54:53,789] - INFO: Epoch 2098/9999, Iter 209720: Loss = 0.00725948391482234, lr = [2.5e-05] +[2024-05-26 02:55:20,987] - INFO: Epoch 2098/9999, Iter 209760: Loss = 0.009094508364796638, lr = [2.5e-05] +[2024-05-26 02:55:49,558] - INFO: Epoch 2099/9999, Iter 209800: Loss = 0.010660198517143726, lr = [2.5e-05] +[2024-05-26 02:56:16,875] - INFO: Epoch 2099/9999, Iter 209840: Loss = 0.015810377895832062, lr = [2.5e-05] +[2024-05-26 02:56:44,081] - INFO: Epoch 2099/9999, Iter 209880: Loss = 0.01912076398730278, lr = [2.5e-05] +[2024-05-26 02:57:12,781] - INFO: Epoch 2100/9999, Iter 209920: Loss = 0.007803779095411301, lr = [2.5e-05] +[2024-05-26 02:57:40,039] - INFO: Epoch 2100/9999, Iter 209960: Loss = 0.010843412950634956, lr = [2.5e-05] +[2024-05-26 02:58:06,915] - INFO: Evaluate at epoch 2100! +[2024-05-26 02:58:11,525] - INFO: Eval PSNR (max): 38.178 (2090) SSIM (max): 0.9615 (2020) +[2024-05-26 02:58:11,526] - INFO: Eval PSNR (current): 38.163 (2100) SSIM (current): 0.9614 (2100) +[2024-05-26 02:58:11,526] - INFO: Evaluation over. +[2024-05-26 02:58:18,079] - INFO: Epoch 2101/9999, Iter 210000: Loss = 0.01764003373682499, lr = [2.5e-05] +[2024-05-26 02:58:45,374] - INFO: Epoch 2101/9999, Iter 210040: Loss = 0.008040479384362698, lr = [2.5e-05] +[2024-05-26 02:59:12,565] - INFO: Epoch 2101/9999, Iter 210080: Loss = 0.012422171421349049, lr = [2.5e-05] +[2024-05-26 02:59:41,270] - INFO: Epoch 2102/9999, Iter 210120: Loss = 0.015104315243661404, lr = [2.5e-05] +[2024-05-26 03:00:08,462] - INFO: Epoch 2102/9999, Iter 210160: Loss = 0.006298660300672054, lr = [2.5e-05] +[2024-05-26 03:00:37,002] - INFO: Epoch 2103/9999, Iter 210200: Loss = 0.014167819172143936, lr = [2.5e-05] +[2024-05-26 03:01:04,343] - INFO: Epoch 2103/9999, Iter 210240: Loss = 0.016066575422883034, lr = [2.5e-05] +[2024-05-26 03:01:31,603] - INFO: Epoch 2103/9999, Iter 210280: Loss = 0.024236105382442474, lr = [2.5e-05] +[2024-05-26 03:02:00,183] - INFO: Epoch 2104/9999, Iter 210320: Loss = 0.006320700515061617, lr = [2.5e-05] +[2024-05-26 03:02:27,442] - INFO: Epoch 2104/9999, Iter 210360: Loss = 0.01193760521709919, lr = [2.5e-05] +[2024-05-26 03:02:56,082] - INFO: Epoch 2105/9999, Iter 210400: Loss = 0.017300017178058624, lr = [2.5e-05] +[2024-05-26 03:03:23,383] - INFO: Epoch 2105/9999, Iter 210440: Loss = 0.010621256195008755, lr = [2.5e-05] +[2024-05-26 03:03:50,574] - INFO: Epoch 2105/9999, Iter 210480: Loss = 0.009578550234436989, lr = [2.5e-05] +[2024-05-26 03:04:03,857] - INFO: Evaluate at epoch 2105! +[2024-05-26 03:04:13,421] - INFO: Eval PSNR (max): 38.178 (2090) SSIM (max): 0.9616 (2105) +[2024-05-26 03:04:13,422] - INFO: Eval PSNR (current): 38.173 (2105) SSIM (current): 0.9616 (2105) +[2024-05-26 03:04:13,422] - INFO: Evaluation over. +[2024-05-26 03:04:33,974] - INFO: Epoch 2106/9999, Iter 210520: Loss = 0.011646555736660957, lr = [2.5e-05] +[2024-05-26 03:05:01,175] - INFO: Epoch 2106/9999, Iter 210560: Loss = 0.007704099174588919, lr = [2.5e-05] +[2024-05-26 03:05:29,581] - INFO: Epoch 2107/9999, Iter 210600: Loss = 0.009735197760164738, lr = [2.5e-05] +[2024-05-26 03:05:56,884] - INFO: Epoch 2107/9999, Iter 210640: Loss = 0.017763467505574226, lr = [2.5e-05] +[2024-05-26 03:06:24,108] - INFO: Epoch 2107/9999, Iter 210680: Loss = 0.012123477645218372, lr = [2.5e-05] +[2024-05-26 03:06:53,092] - INFO: Epoch 2108/9999, Iter 210720: Loss = 0.01087108813226223, lr = [2.5e-05] +[2024-05-26 03:07:20,284] - INFO: Epoch 2108/9999, Iter 210760: Loss = 0.007486602291464806, lr = [2.5e-05] +[2024-05-26 03:07:48,858] - INFO: Epoch 2109/9999, Iter 210800: Loss = 0.008329816162586212, lr = [2.5e-05] +[2024-05-26 03:08:16,115] - INFO: Epoch 2109/9999, Iter 210840: Loss = 0.014518837444484234, lr = [2.5e-05] +[2024-05-26 03:08:43,418] - INFO: Epoch 2109/9999, Iter 210880: Loss = 0.010960625484585762, lr = [2.5e-05] +[2024-05-26 03:09:12,014] - INFO: Epoch 2110/9999, Iter 210920: Loss = 0.01054187398403883, lr = [2.5e-05] +[2024-05-26 03:09:39,216] - INFO: Epoch 2110/9999, Iter 210960: Loss = 0.010539829730987549, lr = [2.5e-05] +[2024-05-26 03:10:06,242] - INFO: Evaluate at epoch 2110! +[2024-05-26 03:10:10,835] - INFO: Eval PSNR (max): 38.178 (2090) SSIM (max): 0.9616 (2105) +[2024-05-26 03:10:10,835] - INFO: Eval PSNR (current): 38.175 (2110) SSIM (current): 0.9615 (2110) +[2024-05-26 03:10:10,835] - INFO: Evaluation over. +[2024-05-26 03:10:17,626] - INFO: Epoch 2111/9999, Iter 211000: Loss = 0.010034380480647087, lr = [2.5e-05] +[2024-05-26 03:10:44,904] - INFO: Epoch 2111/9999, Iter 211040: Loss = 0.008541286922991276, lr = [2.5e-05] +[2024-05-26 03:11:12,188] - INFO: Epoch 2111/9999, Iter 211080: Loss = 0.010869127698242664, lr = [2.5e-05] +[2024-05-26 03:11:40,738] - INFO: Epoch 2112/9999, Iter 211120: Loss = 0.010503989644348621, lr = [2.5e-05] +[2024-05-26 03:12:07,985] - INFO: Epoch 2112/9999, Iter 211160: Loss = 0.014891006052494049, lr = [2.5e-05] +[2024-05-26 03:12:36,828] - INFO: Epoch 2113/9999, Iter 211200: Loss = 0.007334791123867035, lr = [2.5e-05] +[2024-05-26 03:13:04,158] - INFO: Epoch 2113/9999, Iter 211240: Loss = 0.017987210303544998, lr = [2.5e-05] +[2024-05-26 03:13:31,341] - INFO: Epoch 2113/9999, Iter 211280: Loss = 0.006958708167076111, lr = [2.5e-05] +[2024-05-26 03:14:00,059] - INFO: Epoch 2114/9999, Iter 211320: Loss = 0.009808762930333614, lr = [2.5e-05] +[2024-05-26 03:14:27,299] - INFO: Epoch 2114/9999, Iter 211360: Loss = 0.011356644332408905, lr = [2.5e-05] +[2024-05-26 03:14:55,960] - INFO: Epoch 2115/9999, Iter 211400: Loss = 0.0069688367657363415, lr = [2.5e-05] +[2024-05-26 03:15:23,243] - INFO: Epoch 2115/9999, Iter 211440: Loss = 0.026538457721471786, lr = [2.5e-05] +[2024-05-26 03:15:50,424] - INFO: Epoch 2115/9999, Iter 211480: Loss = 0.017748108133673668, lr = [2.5e-05] +[2024-05-26 03:16:03,708] - INFO: Evaluate at epoch 2115! +[2024-05-26 03:16:13,531] - INFO: Eval PSNR (max): 38.180 (2115) SSIM (max): 0.9616 (2105) +[2024-05-26 03:16:13,532] - INFO: Eval PSNR (current): 38.180 (2115) SSIM (current): 0.9615 (2115) +[2024-05-26 03:16:13,532] - INFO: Evaluation over. +[2024-05-26 03:16:34,072] - INFO: Epoch 2116/9999, Iter 211520: Loss = 0.008971470408141613, lr = [2.5e-05] +[2024-05-26 03:17:01,352] - INFO: Epoch 2116/9999, Iter 211560: Loss = 0.009976656176149845, lr = [2.5e-05] +[2024-05-26 03:17:30,036] - INFO: Epoch 2117/9999, Iter 211600: Loss = 0.00785230565816164, lr = [2.5e-05] +[2024-05-26 03:17:57,407] - INFO: Epoch 2117/9999, Iter 211640: Loss = 0.006491599138826132, lr = [2.5e-05] +[2024-05-26 03:18:24,591] - INFO: Epoch 2117/9999, Iter 211680: Loss = 0.011232146993279457, lr = [2.5e-05] +[2024-05-26 03:18:53,388] - INFO: Epoch 2118/9999, Iter 211720: Loss = 0.014561540447175503, lr = [2.5e-05] +[2024-05-26 03:19:20,642] - INFO: Epoch 2118/9999, Iter 211760: Loss = 0.01651347428560257, lr = [2.5e-05] +[2024-05-26 03:19:49,386] - INFO: Epoch 2119/9999, Iter 211800: Loss = 0.008551944978535175, lr = [2.5e-05] +[2024-05-26 03:20:16,744] - INFO: Epoch 2119/9999, Iter 211840: Loss = 0.010425976477563381, lr = [2.5e-05] +[2024-05-26 03:20:43,959] - INFO: Epoch 2119/9999, Iter 211880: Loss = 0.009582221508026123, lr = [2.5e-05] +[2024-05-26 03:21:12,586] - INFO: Epoch 2120/9999, Iter 211920: Loss = 0.015490246936678886, lr = [2.5e-05] +[2024-05-26 03:21:39,810] - INFO: Epoch 2120/9999, Iter 211960: Loss = 0.012546703219413757, lr = [2.5e-05] +[2024-05-26 03:22:06,744] - INFO: Evaluate at epoch 2120! +[2024-05-26 03:22:16,436] - INFO: Eval PSNR (max): 38.186 (2120) SSIM (max): 0.9616 (2105) +[2024-05-26 03:22:16,437] - INFO: Eval PSNR (current): 38.186 (2120) SSIM (current): 0.9615 (2120) +[2024-05-26 03:22:16,437] - INFO: Evaluation over. +[2024-05-26 03:22:23,240] - INFO: Epoch 2121/9999, Iter 212000: Loss = 0.01160108856856823, lr = [2.5e-05] +[2024-05-26 03:22:50,515] - INFO: Epoch 2121/9999, Iter 212040: Loss = 0.012355602346360683, lr = [2.5e-05] +[2024-05-26 03:23:17,827] - INFO: Epoch 2121/9999, Iter 212080: Loss = 0.006746187806129456, lr = [2.5e-05] +[2024-05-26 03:23:46,537] - INFO: Epoch 2122/9999, Iter 212120: Loss = 0.008149057626724243, lr = [2.5e-05] +[2024-05-26 03:24:13,809] - INFO: Epoch 2122/9999, Iter 212160: Loss = 0.008319062180817127, lr = [2.5e-05] +[2024-05-26 03:24:42,319] - INFO: Epoch 2123/9999, Iter 212200: Loss = 0.019344735890626907, lr = [2.5e-05] +[2024-05-26 03:25:09,593] - INFO: Epoch 2123/9999, Iter 212240: Loss = 0.023434165865182877, lr = [2.5e-05] +[2024-05-26 03:25:36,792] - INFO: Epoch 2123/9999, Iter 212280: Loss = 0.007790065370500088, lr = [2.5e-05] +[2024-05-26 03:26:05,362] - INFO: Epoch 2124/9999, Iter 212320: Loss = 0.012265424244105816, lr = [2.5e-05] +[2024-05-26 03:26:32,583] - INFO: Epoch 2124/9999, Iter 212360: Loss = 0.010177952237427235, lr = [2.5e-05] +[2024-05-26 03:27:01,308] - INFO: Epoch 2125/9999, Iter 212400: Loss = 0.01023704931139946, lr = [2.5e-05] +[2024-05-26 03:27:28,583] - INFO: Epoch 2125/9999, Iter 212440: Loss = 0.014404227025806904, lr = [2.5e-05] +[2024-05-26 03:27:55,844] - INFO: Epoch 2125/9999, Iter 212480: Loss = 0.013143656775355339, lr = [2.5e-05] +[2024-05-26 03:28:09,155] - INFO: Evaluate at epoch 2125! +[2024-05-26 03:28:18,817] - INFO: Eval PSNR (max): 38.198 (2125) SSIM (max): 0.9616 (2105) +[2024-05-26 03:28:18,818] - INFO: Eval PSNR (current): 38.198 (2125) SSIM (current): 0.9614 (2125) +[2024-05-26 03:28:18,818] - INFO: Evaluation over. +[2024-05-26 03:28:39,474] - INFO: Epoch 2126/9999, Iter 212520: Loss = 0.011769657954573631, lr = [2.5e-05] +[2024-05-26 03:29:06,705] - INFO: Epoch 2126/9999, Iter 212560: Loss = 0.012565006501972675, lr = [2.5e-05] +[2024-05-26 03:29:35,259] - INFO: Epoch 2127/9999, Iter 212600: Loss = 0.00704896729439497, lr = [2.5e-05] +[2024-05-26 03:30:02,603] - INFO: Epoch 2127/9999, Iter 212640: Loss = 0.020509935915470123, lr = [2.5e-05] +[2024-05-26 03:30:29,832] - INFO: Epoch 2127/9999, Iter 212680: Loss = 0.014372280798852444, lr = [2.5e-05] +[2024-05-26 03:30:58,642] - INFO: Epoch 2128/9999, Iter 212720: Loss = 0.011370704509317875, lr = [2.5e-05] +[2024-05-26 03:31:25,855] - INFO: Epoch 2128/9999, Iter 212760: Loss = 0.006058824248611927, lr = [2.5e-05] +[2024-05-26 03:31:54,415] - INFO: Epoch 2129/9999, Iter 212800: Loss = 0.015085975639522076, lr = [2.5e-05] +[2024-05-26 03:32:21,698] - INFO: Epoch 2129/9999, Iter 212840: Loss = 0.024370405822992325, lr = [2.5e-05] +[2024-05-26 03:32:48,970] - INFO: Epoch 2129/9999, Iter 212880: Loss = 0.013545308262109756, lr = [2.5e-05] +[2024-05-26 03:33:17,573] - INFO: Epoch 2130/9999, Iter 212920: Loss = 0.008855683729052544, lr = [2.5e-05] +[2024-05-26 03:33:44,798] - INFO: Epoch 2130/9999, Iter 212960: Loss = 0.015467789955437183, lr = [2.5e-05] +[2024-05-26 03:34:11,718] - INFO: Evaluate at epoch 2130! +[2024-05-26 03:34:16,464] - INFO: Eval PSNR (max): 38.198 (2125) SSIM (max): 0.9616 (2105) +[2024-05-26 03:34:16,464] - INFO: Eval PSNR (current): 38.181 (2130) SSIM (current): 0.9615 (2130) +[2024-05-26 03:34:16,465] - INFO: Evaluation over. +[2024-05-26 03:34:23,112] - INFO: Epoch 2131/9999, Iter 213000: Loss = 0.015144041739404202, lr = [2.5e-05] +[2024-05-26 03:34:50,417] - INFO: Epoch 2131/9999, Iter 213040: Loss = 0.018559740856289864, lr = [2.5e-05] +[2024-05-26 03:35:17,663] - INFO: Epoch 2131/9999, Iter 213080: Loss = 0.011898121796548367, lr = [2.5e-05] +[2024-05-26 03:35:46,415] - INFO: Epoch 2132/9999, Iter 213120: Loss = 0.020895598456263542, lr = [2.5e-05] +[2024-05-26 03:36:13,627] - INFO: Epoch 2132/9999, Iter 213160: Loss = 0.011398577131330967, lr = [2.5e-05] +[2024-05-26 03:36:42,286] - INFO: Epoch 2133/9999, Iter 213200: Loss = 0.014156324788928032, lr = [2.5e-05] +[2024-05-26 03:37:09,540] - INFO: Epoch 2133/9999, Iter 213240: Loss = 0.012782042846083641, lr = [2.5e-05] +[2024-05-26 03:37:36,704] - INFO: Epoch 2133/9999, Iter 213280: Loss = 0.016730157658457756, lr = [2.5e-05] +[2024-05-26 03:38:05,294] - INFO: Epoch 2134/9999, Iter 213320: Loss = 0.009624175727367401, lr = [2.5e-05] +[2024-05-26 03:38:32,511] - INFO: Epoch 2134/9999, Iter 213360: Loss = 0.012004489079117775, lr = [2.5e-05] +[2024-05-26 03:39:01,229] - INFO: Epoch 2135/9999, Iter 213400: Loss = 0.015634333714842796, lr = [2.5e-05] +[2024-05-26 03:39:28,515] - INFO: Epoch 2135/9999, Iter 213440: Loss = 0.0137081453576684, lr = [2.5e-05] +[2024-05-26 03:39:55,733] - INFO: Epoch 2135/9999, Iter 213480: Loss = 0.011595171876251698, lr = [2.5e-05] +[2024-05-26 03:40:09,078] - INFO: Evaluate at epoch 2135! +[2024-05-26 03:40:13,556] - INFO: Eval PSNR (max): 38.198 (2125) SSIM (max): 0.9616 (2105) +[2024-05-26 03:40:13,556] - INFO: Eval PSNR (current): 38.195 (2135) SSIM (current): 0.9615 (2135) +[2024-05-26 03:40:13,556] - INFO: Evaluation over. +[2024-05-26 03:40:33,975] - INFO: Epoch 2136/9999, Iter 213520: Loss = 0.007399904076009989, lr = [2.5e-05] +[2024-05-26 03:41:01,146] - INFO: Epoch 2136/9999, Iter 213560: Loss = 0.008540475741028786, lr = [2.5e-05] +[2024-05-26 03:41:29,678] - INFO: Epoch 2137/9999, Iter 213600: Loss = 0.019900253042578697, lr = [2.5e-05] +[2024-05-26 03:41:56,844] - INFO: Epoch 2137/9999, Iter 213640: Loss = 0.009483927860856056, lr = [2.5e-05] +[2024-05-26 03:42:24,106] - INFO: Epoch 2137/9999, Iter 213680: Loss = 0.014607816003262997, lr = [2.5e-05] +[2024-05-26 03:42:52,919] - INFO: Epoch 2138/9999, Iter 213720: Loss = 0.01018664613366127, lr = [2.5e-05] +[2024-05-26 03:43:20,110] - INFO: Epoch 2138/9999, Iter 213760: Loss = 0.014569933526217937, lr = [2.5e-05] +[2024-05-26 03:43:48,833] - INFO: Epoch 2139/9999, Iter 213800: Loss = 0.011348305270075798, lr = [2.5e-05] +[2024-05-26 03:44:16,294] - INFO: Epoch 2139/9999, Iter 213840: Loss = 0.011992393061518669, lr = [2.5e-05] +[2024-05-26 03:44:43,469] - INFO: Epoch 2139/9999, Iter 213880: Loss = 0.013067365624010563, lr = [2.5e-05] +[2024-05-26 03:45:12,073] - INFO: Epoch 2140/9999, Iter 213920: Loss = 0.012101809494197369, lr = [2.5e-05] +[2024-05-26 03:45:39,329] - INFO: Epoch 2140/9999, Iter 213960: Loss = 0.008838397450745106, lr = [2.5e-05] +[2024-05-26 03:46:06,276] - INFO: Evaluate at epoch 2140! +[2024-05-26 03:46:10,984] - INFO: Eval PSNR (max): 38.198 (2125) SSIM (max): 0.9616 (2105) +[2024-05-26 03:46:10,984] - INFO: Eval PSNR (current): 38.157 (2140) SSIM (current): 0.9615 (2140) +[2024-05-26 03:46:10,984] - INFO: Evaluation over. +[2024-05-26 03:46:17,836] - INFO: Epoch 2141/9999, Iter 214000: Loss = 0.01362206693738699, lr = [2.5e-05] +[2024-05-26 03:46:45,173] - INFO: Epoch 2141/9999, Iter 214040: Loss = 0.022835979238152504, lr = [2.5e-05] +[2024-05-26 03:47:12,326] - INFO: Epoch 2141/9999, Iter 214080: Loss = 0.008662772364914417, lr = [2.5e-05] +[2024-05-26 03:47:40,895] - INFO: Epoch 2142/9999, Iter 214120: Loss = 0.004814065061509609, lr = [2.5e-05] +[2024-05-26 03:48:08,086] - INFO: Epoch 2142/9999, Iter 214160: Loss = 0.006794102489948273, lr = [2.5e-05] +[2024-05-26 03:48:36,951] - INFO: Epoch 2143/9999, Iter 214200: Loss = 0.010741567239165306, lr = [2.5e-05] +[2024-05-26 03:49:04,194] - INFO: Epoch 2143/9999, Iter 214240: Loss = 0.007837466895580292, lr = [2.5e-05] +[2024-05-26 03:49:31,402] - INFO: Epoch 2143/9999, Iter 214280: Loss = 0.013869849033653736, lr = [2.5e-05] +[2024-05-26 03:50:00,048] - INFO: Epoch 2144/9999, Iter 214320: Loss = 0.01822659559547901, lr = [2.5e-05] +[2024-05-26 03:50:27,247] - INFO: Epoch 2144/9999, Iter 214360: Loss = 0.011533616110682487, lr = [2.5e-05] +[2024-05-26 03:50:55,842] - INFO: Epoch 2145/9999, Iter 214400: Loss = 0.016547376289963722, lr = [2.5e-05] +[2024-05-26 03:51:23,149] - INFO: Epoch 2145/9999, Iter 214440: Loss = 0.01749255135655403, lr = [2.5e-05] +[2024-05-26 03:51:50,351] - INFO: Epoch 2145/9999, Iter 214480: Loss = 0.00988064892590046, lr = [2.5e-05] +[2024-05-26 03:52:03,690] - INFO: Evaluate at epoch 2145! +[2024-05-26 03:52:08,191] - INFO: Eval PSNR (max): 38.198 (2125) SSIM (max): 0.9616 (2105) +[2024-05-26 03:52:08,191] - INFO: Eval PSNR (current): 38.160 (2145) SSIM (current): 0.9614 (2145) +[2024-05-26 03:52:08,191] - INFO: Evaluation over. +[2024-05-26 03:52:28,707] - INFO: Epoch 2146/9999, Iter 214520: Loss = 0.010713757947087288, lr = [2.5e-05] +[2024-05-26 03:52:55,976] - INFO: Epoch 2146/9999, Iter 214560: Loss = 0.008265776559710503, lr = [2.5e-05] +[2024-05-26 03:53:24,736] - INFO: Epoch 2147/9999, Iter 214600: Loss = 0.01800333708524704, lr = [2.5e-05] +[2024-05-26 03:53:52,048] - INFO: Epoch 2147/9999, Iter 214640: Loss = 0.007497075013816357, lr = [2.5e-05] +[2024-05-26 03:54:19,246] - INFO: Epoch 2147/9999, Iter 214680: Loss = 0.019122997298836708, lr = [2.5e-05] +[2024-05-26 03:54:47,929] - INFO: Epoch 2148/9999, Iter 214720: Loss = 0.007776095997542143, lr = [2.5e-05] +[2024-05-26 03:55:15,144] - INFO: Epoch 2148/9999, Iter 214760: Loss = 0.007524450309574604, lr = [2.5e-05] +[2024-05-26 03:55:43,563] - INFO: Epoch 2149/9999, Iter 214800: Loss = 0.013250039890408516, lr = [2.5e-05] +[2024-05-26 03:56:10,975] - INFO: Epoch 2149/9999, Iter 214840: Loss = 0.007426882162690163, lr = [2.5e-05] +[2024-05-26 03:56:38,169] - INFO: Epoch 2149/9999, Iter 214880: Loss = 0.005603940226137638, lr = [2.5e-05] +[2024-05-26 03:57:06,915] - INFO: Epoch 2150/9999, Iter 214920: Loss = 0.017392894253134727, lr = [2.5e-05] +[2024-05-26 03:57:34,135] - INFO: Epoch 2150/9999, Iter 214960: Loss = 0.014571696519851685, lr = [2.5e-05] +[2024-05-26 03:58:01,018] - INFO: Evaluate at epoch 2150! +[2024-05-26 03:58:05,586] - INFO: Eval PSNR (max): 38.198 (2125) SSIM (max): 0.9616 (2105) +[2024-05-26 03:58:05,586] - INFO: Eval PSNR (current): 38.146 (2150) SSIM (current): 0.9615 (2150) +[2024-05-26 03:58:05,586] - INFO: Evaluation over. +[2024-05-26 03:58:12,216] - INFO: Epoch 2151/9999, Iter 215000: Loss = 0.015922127291560173, lr = [2.5e-05] +[2024-05-26 03:58:39,480] - INFO: Epoch 2151/9999, Iter 215040: Loss = 0.008111833594739437, lr = [2.5e-05] +[2024-05-26 03:59:06,665] - INFO: Epoch 2151/9999, Iter 215080: Loss = 0.01193199586123228, lr = [2.5e-05] +[2024-05-26 03:59:35,296] - INFO: Epoch 2152/9999, Iter 215120: Loss = 0.013896288350224495, lr = [2.5e-05] +[2024-05-26 04:00:02,488] - INFO: Epoch 2152/9999, Iter 215160: Loss = 0.0131608247756958, lr = [2.5e-05] +[2024-05-26 04:00:31,081] - INFO: Epoch 2153/9999, Iter 215200: Loss = 0.011456865817308426, lr = [2.5e-05] +[2024-05-26 04:00:58,408] - INFO: Epoch 2153/9999, Iter 215240: Loss = 0.014495663344860077, lr = [2.5e-05] +[2024-05-26 04:01:25,668] - INFO: Epoch 2153/9999, Iter 215280: Loss = 0.008735076524317265, lr = [2.5e-05] +[2024-05-26 04:01:54,307] - INFO: Epoch 2154/9999, Iter 215320: Loss = 0.014395017176866531, lr = [2.5e-05] +[2024-05-26 04:02:21,520] - INFO: Epoch 2154/9999, Iter 215360: Loss = 0.01573493890464306, lr = [2.5e-05] +[2024-05-26 04:02:50,056] - INFO: Epoch 2155/9999, Iter 215400: Loss = 0.019183246418833733, lr = [2.5e-05] +[2024-05-26 04:03:17,372] - INFO: Epoch 2155/9999, Iter 215440: Loss = 0.02219395339488983, lr = [2.5e-05] +[2024-05-26 04:03:44,649] - INFO: Epoch 2155/9999, Iter 215480: Loss = 0.012277073226869106, lr = [2.5e-05] +[2024-05-26 04:03:57,977] - INFO: Evaluate at epoch 2155! +[2024-05-26 04:04:02,572] - INFO: Eval PSNR (max): 38.198 (2125) SSIM (max): 0.9616 (2105) +[2024-05-26 04:04:02,572] - INFO: Eval PSNR (current): 38.175 (2155) SSIM (current): 0.9615 (2155) +[2024-05-26 04:04:02,572] - INFO: Evaluation over. +[2024-05-26 04:04:23,176] - INFO: Epoch 2156/9999, Iter 215520: Loss = 0.014650803990662098, lr = [2.5e-05] +[2024-05-26 04:04:50,481] - INFO: Epoch 2156/9999, Iter 215560: Loss = 0.00814933329820633, lr = [2.5e-05] +[2024-05-26 04:05:19,076] - INFO: Epoch 2157/9999, Iter 215600: Loss = 0.019126299768686295, lr = [2.5e-05] +[2024-05-26 04:05:46,366] - INFO: Epoch 2157/9999, Iter 215640: Loss = 0.015228379517793655, lr = [2.5e-05] +[2024-05-26 04:06:13,542] - INFO: Epoch 2157/9999, Iter 215680: Loss = 0.012853322550654411, lr = [2.5e-05] +[2024-05-26 04:06:42,334] - INFO: Epoch 2158/9999, Iter 215720: Loss = 0.013661907985806465, lr = [2.5e-05] +[2024-05-26 04:07:09,627] - INFO: Epoch 2158/9999, Iter 215760: Loss = 0.006997863296419382, lr = [2.5e-05] +[2024-05-26 04:07:38,232] - INFO: Epoch 2159/9999, Iter 215800: Loss = 0.00845737848430872, lr = [2.5e-05] +[2024-05-26 04:08:05,476] - INFO: Epoch 2159/9999, Iter 215840: Loss = 0.01566271483898163, lr = [2.5e-05] +[2024-05-26 04:08:32,770] - INFO: Epoch 2159/9999, Iter 215880: Loss = 0.015175295993685722, lr = [2.5e-05] +[2024-05-26 04:09:01,283] - INFO: Epoch 2160/9999, Iter 215920: Loss = 0.009516065008938313, lr = [2.5e-05] +[2024-05-26 04:09:28,492] - INFO: Epoch 2160/9999, Iter 215960: Loss = 0.013195428997278214, lr = [2.5e-05] +[2024-05-26 04:09:55,357] - INFO: Evaluate at epoch 2160! +[2024-05-26 04:09:59,911] - INFO: Eval PSNR (max): 38.198 (2125) SSIM (max): 0.9616 (2105) +[2024-05-26 04:09:59,912] - INFO: Eval PSNR (current): 38.189 (2160) SSIM (current): 0.9615 (2160) +[2024-05-26 04:09:59,912] - INFO: Evaluation over. +[2024-05-26 04:10:06,949] - INFO: Epoch 2161/9999, Iter 216000: Loss = 0.022148605436086655, lr = [2.5e-05] +[2024-05-26 04:10:34,271] - INFO: Epoch 2161/9999, Iter 216040: Loss = 0.013488298282027245, lr = [2.5e-05] +[2024-05-26 04:11:01,522] - INFO: Epoch 2161/9999, Iter 216080: Loss = 0.011270808055996895, lr = [2.5e-05] +[2024-05-26 04:11:30,294] - INFO: Epoch 2162/9999, Iter 216120: Loss = 0.007633189205080271, lr = [2.5e-05] +[2024-05-26 04:11:57,547] - INFO: Epoch 2162/9999, Iter 216160: Loss = 0.010608833283185959, lr = [2.5e-05] +[2024-05-26 04:12:26,025] - INFO: Epoch 2163/9999, Iter 216200: Loss = 0.016548728570342064, lr = [2.5e-05] +[2024-05-26 04:12:53,302] - INFO: Epoch 2163/9999, Iter 216240: Loss = 0.008755863644182682, lr = [2.5e-05] +[2024-05-26 04:13:20,546] - INFO: Epoch 2163/9999, Iter 216280: Loss = 0.00476496247574687, lr = [2.5e-05] +[2024-05-26 04:13:49,508] - INFO: Epoch 2164/9999, Iter 216320: Loss = 0.0065545919351279736, lr = [2.5e-05] +[2024-05-26 04:14:16,721] - INFO: Epoch 2164/9999, Iter 216360: Loss = 0.009918577037751675, lr = [2.5e-05] +[2024-05-26 04:14:45,224] - INFO: Epoch 2165/9999, Iter 216400: Loss = 0.015560203231871128, lr = [2.5e-05] +[2024-05-26 04:15:12,575] - INFO: Epoch 2165/9999, Iter 216440: Loss = 0.014084398746490479, lr = [2.5e-05] +[2024-05-26 04:15:39,882] - INFO: Epoch 2165/9999, Iter 216480: Loss = 0.008679704740643501, lr = [2.5e-05] +[2024-05-26 04:15:53,157] - INFO: Evaluate at epoch 2165! +[2024-05-26 04:15:57,616] - INFO: Eval PSNR (max): 38.198 (2125) SSIM (max): 0.9616 (2105) +[2024-05-26 04:15:57,616] - INFO: Eval PSNR (current): 38.188 (2165) SSIM (current): 0.9615 (2165) +[2024-05-26 04:15:57,616] - INFO: Evaluation over. +[2024-05-26 04:16:18,049] - INFO: Epoch 2166/9999, Iter 216520: Loss = 0.026935504749417305, lr = [2.5e-05] +[2024-05-26 04:16:45,275] - INFO: Epoch 2166/9999, Iter 216560: Loss = 0.022427426651120186, lr = [2.5e-05] +[2024-05-26 04:17:13,704] - INFO: Epoch 2167/9999, Iter 216600: Loss = 0.011866736225783825, lr = [2.5e-05] +[2024-05-26 04:17:40,991] - INFO: Epoch 2167/9999, Iter 216640: Loss = 0.0140891894698143, lr = [2.5e-05] +[2024-05-26 04:18:08,184] - INFO: Epoch 2167/9999, Iter 216680: Loss = 0.010334406048059464, lr = [2.5e-05] +[2024-05-26 04:18:36,840] - INFO: Epoch 2168/9999, Iter 216720: Loss = 0.011736713349819183, lr = [2.5e-05] +[2024-05-26 04:19:04,068] - INFO: Epoch 2168/9999, Iter 216760: Loss = 0.02275749482214451, lr = [2.5e-05] +[2024-05-26 04:19:32,532] - INFO: Epoch 2169/9999, Iter 216800: Loss = 0.00997828133404255, lr = [2.5e-05] +[2024-05-26 04:19:59,898] - INFO: Epoch 2169/9999, Iter 216840: Loss = 0.021750986576080322, lr = [2.5e-05] +[2024-05-26 04:20:27,160] - INFO: Epoch 2169/9999, Iter 216880: Loss = 0.02050044946372509, lr = [2.5e-05] +[2024-05-26 04:20:55,811] - INFO: Epoch 2170/9999, Iter 216920: Loss = 0.019720306620001793, lr = [2.5e-05] +[2024-05-26 04:21:23,009] - INFO: Epoch 2170/9999, Iter 216960: Loss = 0.00877446960657835, lr = [2.5e-05] +[2024-05-26 04:21:49,945] - INFO: Evaluate at epoch 2170! +[2024-05-26 04:21:54,453] - INFO: Eval PSNR (max): 38.198 (2125) SSIM (max): 0.9616 (2105) +[2024-05-26 04:21:54,453] - INFO: Eval PSNR (current): 38.177 (2170) SSIM (current): 0.9615 (2170) +[2024-05-26 04:21:54,453] - INFO: Evaluation over. +[2024-05-26 04:22:01,472] - INFO: Epoch 2171/9999, Iter 217000: Loss = 0.014823399484157562, lr = [2.5e-05] +[2024-05-26 04:22:28,804] - INFO: Epoch 2171/9999, Iter 217040: Loss = 0.009637049399316311, lr = [2.5e-05] +[2024-05-26 04:22:55,997] - INFO: Epoch 2171/9999, Iter 217080: Loss = 0.013561558909714222, lr = [2.5e-05] +[2024-05-26 04:23:24,647] - INFO: Epoch 2172/9999, Iter 217120: Loss = 0.014301673509180546, lr = [2.5e-05] +[2024-05-26 04:23:51,818] - INFO: Epoch 2172/9999, Iter 217160: Loss = 0.011785374954342842, lr = [2.5e-05] +[2024-05-26 04:24:20,624] - INFO: Epoch 2173/9999, Iter 217200: Loss = 0.016079571098089218, lr = [2.5e-05] +[2024-05-26 04:24:47,910] - INFO: Epoch 2173/9999, Iter 217240: Loss = 0.0114244744181633, lr = [2.5e-05] +[2024-05-26 04:25:15,216] - INFO: Epoch 2173/9999, Iter 217280: Loss = 0.009281767532229424, lr = [2.5e-05] +[2024-05-26 04:25:43,847] - INFO: Epoch 2174/9999, Iter 217320: Loss = 0.01236653234809637, lr = [2.5e-05] +[2024-05-26 04:26:11,026] - INFO: Epoch 2174/9999, Iter 217360: Loss = 0.010721190832555294, lr = [2.5e-05] +[2024-05-26 04:26:39,829] - INFO: Epoch 2175/9999, Iter 217400: Loss = 0.010081777349114418, lr = [2.5e-05] +[2024-05-26 04:27:07,070] - INFO: Epoch 2175/9999, Iter 217440: Loss = 0.011226694099605083, lr = [2.5e-05] +[2024-05-26 04:27:34,260] - INFO: Epoch 2175/9999, Iter 217480: Loss = 0.010542995296418667, lr = [2.5e-05] +[2024-05-26 04:27:47,545] - INFO: Evaluate at epoch 2175! +[2024-05-26 04:27:52,173] - INFO: Eval PSNR (max): 38.198 (2125) SSIM (max): 0.9616 (2105) +[2024-05-26 04:27:52,174] - INFO: Eval PSNR (current): 38.180 (2175) SSIM (current): 0.9615 (2175) +[2024-05-26 04:27:52,174] - INFO: Evaluation over. +[2024-05-26 04:28:12,539] - INFO: Epoch 2176/9999, Iter 217520: Loss = 0.014363870024681091, lr = [2.5e-05] +[2024-05-26 04:28:39,764] - INFO: Epoch 2176/9999, Iter 217560: Loss = 0.012164842337369919, lr = [2.5e-05] +[2024-05-26 04:29:08,228] - INFO: Epoch 2177/9999, Iter 217600: Loss = 0.018533527851104736, lr = [2.5e-05] +[2024-05-26 04:29:35,490] - INFO: Epoch 2177/9999, Iter 217640: Loss = 0.013686059042811394, lr = [2.5e-05] +[2024-05-26 04:30:02,738] - INFO: Epoch 2177/9999, Iter 217680: Loss = 0.018008286133408546, lr = [2.5e-05] +[2024-05-26 04:30:31,224] - INFO: Epoch 2178/9999, Iter 217720: Loss = 0.012692639604210854, lr = [2.5e-05] +[2024-05-26 04:30:58,476] - INFO: Epoch 2178/9999, Iter 217760: Loss = 0.01601150445640087, lr = [2.5e-05] +[2024-05-26 04:31:27,228] - INFO: Epoch 2179/9999, Iter 217800: Loss = 0.009903392754495144, lr = [2.5e-05] +[2024-05-26 04:31:54,514] - INFO: Epoch 2179/9999, Iter 217840: Loss = 0.010734699666500092, lr = [2.5e-05] +[2024-05-26 04:32:21,697] - INFO: Epoch 2179/9999, Iter 217880: Loss = 0.0067390138283371925, lr = [2.5e-05] +[2024-05-26 04:32:50,443] - INFO: Epoch 2180/9999, Iter 217920: Loss = 0.0146257895976305, lr = [2.5e-05] +[2024-05-26 04:33:17,677] - INFO: Epoch 2180/9999, Iter 217960: Loss = 0.007216936908662319, lr = [2.5e-05] +[2024-05-26 04:33:44,572] - INFO: Evaluate at epoch 2180! +[2024-05-26 04:33:49,143] - INFO: Eval PSNR (max): 38.198 (2125) SSIM (max): 0.9616 (2105) +[2024-05-26 04:33:49,144] - INFO: Eval PSNR (current): 38.194 (2180) SSIM (current): 0.9614 (2180) +[2024-05-26 04:33:49,144] - INFO: Evaluation over. +[2024-05-26 04:33:55,775] - INFO: Epoch 2181/9999, Iter 218000: Loss = 0.02073071151971817, lr = [2.5e-05] +[2024-05-26 04:34:23,091] - INFO: Epoch 2181/9999, Iter 218040: Loss = 0.010700790211558342, lr = [2.5e-05] +[2024-05-26 04:34:50,326] - INFO: Epoch 2181/9999, Iter 218080: Loss = 0.016769681125879288, lr = [2.5e-05] +[2024-05-26 04:35:18,939] - INFO: Epoch 2182/9999, Iter 218120: Loss = 0.013714812695980072, lr = [2.5e-05] +[2024-05-26 04:35:46,106] - INFO: Epoch 2182/9999, Iter 218160: Loss = 0.017012694850564003, lr = [2.5e-05] +[2024-05-26 04:36:14,756] - INFO: Epoch 2183/9999, Iter 218200: Loss = 0.01375990267843008, lr = [2.5e-05] +[2024-05-26 04:36:42,099] - INFO: Epoch 2183/9999, Iter 218240: Loss = 0.01735260896384716, lr = [2.5e-05] +[2024-05-26 04:37:09,330] - INFO: Epoch 2183/9999, Iter 218280: Loss = 0.007738924585282803, lr = [2.5e-05] +[2024-05-26 04:37:38,089] - INFO: Epoch 2184/9999, Iter 218320: Loss = 0.017992136999964714, lr = [2.5e-05] +[2024-05-26 04:38:05,326] - INFO: Epoch 2184/9999, Iter 218360: Loss = 0.015163428150117397, lr = [2.5e-05] +[2024-05-26 04:38:33,761] - INFO: Epoch 2185/9999, Iter 218400: Loss = 0.015282687731087208, lr = [2.5e-05] +[2024-05-26 04:39:01,146] - INFO: Epoch 2185/9999, Iter 218440: Loss = 0.008070984855294228, lr = [2.5e-05] +[2024-05-26 04:39:28,367] - INFO: Epoch 2185/9999, Iter 218480: Loss = 0.009744399227201939, lr = [2.5e-05] +[2024-05-26 04:39:41,673] - INFO: Evaluate at epoch 2185! +[2024-05-26 04:39:46,267] - INFO: Eval PSNR (max): 38.198 (2125) SSIM (max): 0.9616 (2105) +[2024-05-26 04:39:46,267] - INFO: Eval PSNR (current): 38.193 (2185) SSIM (current): 0.9615 (2185) +[2024-05-26 04:39:46,268] - INFO: Evaluation over. +[2024-05-26 04:40:06,658] - INFO: Epoch 2186/9999, Iter 218520: Loss = 0.005262184888124466, lr = [2.5e-05] +[2024-05-26 04:40:33,866] - INFO: Epoch 2186/9999, Iter 218560: Loss = 0.012950856238603592, lr = [2.5e-05] +[2024-05-26 04:41:02,434] - INFO: Epoch 2187/9999, Iter 218600: Loss = 0.010641874745488167, lr = [2.5e-05] +[2024-05-26 04:41:29,798] - INFO: Epoch 2187/9999, Iter 218640: Loss = 0.012379203923046589, lr = [2.5e-05] +[2024-05-26 04:41:57,013] - INFO: Epoch 2187/9999, Iter 218680: Loss = 0.015221983194351196, lr = [2.5e-05] +[2024-05-26 04:42:25,872] - INFO: Epoch 2188/9999, Iter 218720: Loss = 0.01432731468230486, lr = [2.5e-05] +[2024-05-26 04:42:53,074] - INFO: Epoch 2188/9999, Iter 218760: Loss = 0.01144691277295351, lr = [2.5e-05] +[2024-05-26 04:43:21,527] - INFO: Epoch 2189/9999, Iter 218800: Loss = 0.010230700485408306, lr = [2.5e-05] +[2024-05-26 04:43:48,855] - INFO: Epoch 2189/9999, Iter 218840: Loss = 0.01512646023184061, lr = [2.5e-05] +[2024-05-26 04:44:16,127] - INFO: Epoch 2189/9999, Iter 218880: Loss = 0.016216957941651344, lr = [2.5e-05] +[2024-05-26 04:44:44,912] - INFO: Epoch 2190/9999, Iter 218920: Loss = 0.013273237273097038, lr = [2.5e-05] +[2024-05-26 04:45:12,154] - INFO: Epoch 2190/9999, Iter 218960: Loss = 0.01155799813568592, lr = [2.5e-05] +[2024-05-26 04:45:39,055] - INFO: Evaluate at epoch 2190! +[2024-05-26 04:45:43,782] - INFO: Eval PSNR (max): 38.198 (2125) SSIM (max): 0.9616 (2105) +[2024-05-26 04:45:43,782] - INFO: Eval PSNR (current): 38.190 (2190) SSIM (current): 0.9614 (2190) +[2024-05-26 04:45:43,782] - INFO: Evaluation over. +[2024-05-26 04:45:50,520] - INFO: Epoch 2191/9999, Iter 219000: Loss = 0.00927961990237236, lr = [2.5e-05] +[2024-05-26 04:46:17,861] - INFO: Epoch 2191/9999, Iter 219040: Loss = 0.010642237029969692, lr = [2.5e-05] +[2024-05-26 04:46:45,129] - INFO: Epoch 2191/9999, Iter 219080: Loss = 0.008556345477700233, lr = [2.5e-05] +[2024-05-26 04:47:13,637] - INFO: Epoch 2192/9999, Iter 219120: Loss = 0.012383503839373589, lr = [2.5e-05] +[2024-05-26 04:47:40,849] - INFO: Epoch 2192/9999, Iter 219160: Loss = 0.018741047009825706, lr = [2.5e-05] +[2024-05-26 04:48:09,522] - INFO: Epoch 2193/9999, Iter 219200: Loss = 0.014864365570247173, lr = [2.5e-05] +[2024-05-26 04:48:36,863] - INFO: Epoch 2193/9999, Iter 219240: Loss = 0.00815517921000719, lr = [2.5e-05] +[2024-05-26 04:49:04,070] - INFO: Epoch 2193/9999, Iter 219280: Loss = 0.009880506433546543, lr = [2.5e-05] +[2024-05-26 04:49:32,774] - INFO: Epoch 2194/9999, Iter 219320: Loss = 0.012847492471337318, lr = [2.5e-05] +[2024-05-26 04:50:00,009] - INFO: Epoch 2194/9999, Iter 219360: Loss = 0.010751158930361271, lr = [2.5e-05] +[2024-05-26 04:50:28,716] - INFO: Epoch 2195/9999, Iter 219400: Loss = 0.011423512361943722, lr = [2.5e-05] +[2024-05-26 04:50:56,014] - INFO: Epoch 2195/9999, Iter 219440: Loss = 0.012950480915606022, lr = [2.5e-05] +[2024-05-26 04:51:23,215] - INFO: Epoch 2195/9999, Iter 219480: Loss = 0.011902043595910072, lr = [2.5e-05] +[2024-05-26 04:51:36,543] - INFO: Evaluate at epoch 2195! +[2024-05-26 04:51:41,235] - INFO: Eval PSNR (max): 38.198 (2125) SSIM (max): 0.9616 (2105) +[2024-05-26 04:51:41,235] - INFO: Eval PSNR (current): 38.182 (2195) SSIM (current): 0.9615 (2195) +[2024-05-26 04:51:41,235] - INFO: Evaluation over. +[2024-05-26 04:52:01,671] - INFO: Epoch 2196/9999, Iter 219520: Loss = 0.019448580220341682, lr = [2.5e-05] +[2024-05-26 04:52:28,902] - INFO: Epoch 2196/9999, Iter 219560: Loss = 0.018693050369620323, lr = [2.5e-05] +[2024-05-26 04:52:57,576] - INFO: Epoch 2197/9999, Iter 219600: Loss = 0.009164037182927132, lr = [2.5e-05] +[2024-05-26 04:53:24,919] - INFO: Epoch 2197/9999, Iter 219640: Loss = 0.0073501612059772015, lr = [2.5e-05] +[2024-05-26 04:53:52,060] - INFO: Epoch 2197/9999, Iter 219680: Loss = 0.014854952692985535, lr = [2.5e-05] +[2024-05-26 04:54:20,663] - INFO: Epoch 2198/9999, Iter 219720: Loss = 0.007955363020300865, lr = [2.5e-05] +[2024-05-26 04:54:47,883] - INFO: Epoch 2198/9999, Iter 219760: Loss = 0.013697260059416294, lr = [2.5e-05] +[2024-05-26 04:55:16,420] - INFO: Epoch 2199/9999, Iter 219800: Loss = 0.010880272835493088, lr = [2.5e-05] +[2024-05-26 04:55:43,728] - INFO: Epoch 2199/9999, Iter 219840: Loss = 0.016443002969026566, lr = [2.5e-05] +[2024-05-26 04:56:10,982] - INFO: Epoch 2199/9999, Iter 219880: Loss = 0.013000203296542168, lr = [2.5e-05] +[2024-05-26 04:56:39,624] - INFO: Epoch 2200/9999, Iter 219920: Loss = 0.025196995586156845, lr = [2.5e-05] +[2024-05-26 04:57:06,816] - INFO: Epoch 2200/9999, Iter 219960: Loss = 0.017635269090533257, lr = [2.5e-05] +[2024-05-26 04:57:33,764] - INFO: Evaluate at epoch 2200! +[2024-05-26 04:57:38,333] - INFO: Eval PSNR (max): 38.198 (2125) SSIM (max): 0.9616 (2105) +[2024-05-26 04:57:38,333] - INFO: Eval PSNR (current): 38.126 (2200) SSIM (current): 0.9613 (2200) +[2024-05-26 04:57:38,333] - INFO: Evaluation over. +[2024-05-26 04:57:45,106] - INFO: Epoch 2201/9999, Iter 220000: Loss = 0.009637236595153809, lr = [2.5e-05] +[2024-05-26 04:58:12,391] - INFO: Epoch 2201/9999, Iter 220040: Loss = 0.015028971247375011, lr = [2.5e-05] +[2024-05-26 04:58:39,751] - INFO: Epoch 2201/9999, Iter 220080: Loss = 0.010255084373056889, lr = [2.5e-05] +[2024-05-26 04:59:08,635] - INFO: Epoch 2202/9999, Iter 220120: Loss = 0.014584849588572979, lr = [2.5e-05] +[2024-05-26 04:59:35,844] - INFO: Epoch 2202/9999, Iter 220160: Loss = 0.010196561925113201, lr = [2.5e-05] +[2024-05-26 05:00:04,356] - INFO: Epoch 2203/9999, Iter 220200: Loss = 0.007959007285535336, lr = [2.5e-05] +[2024-05-26 05:00:31,695] - INFO: Epoch 2203/9999, Iter 220240: Loss = 0.012618131004273891, lr = [2.5e-05] +[2024-05-26 05:00:58,885] - INFO: Epoch 2203/9999, Iter 220280: Loss = 0.011472445912659168, lr = [2.5e-05] +[2024-05-26 05:01:27,399] - INFO: Epoch 2204/9999, Iter 220320: Loss = 0.010599350556731224, lr = [2.5e-05] +[2024-05-26 05:01:54,671] - INFO: Epoch 2204/9999, Iter 220360: Loss = 0.013898476958274841, lr = [2.5e-05] +[2024-05-26 05:02:23,048] - INFO: Epoch 2205/9999, Iter 220400: Loss = 0.00566635699942708, lr = [2.5e-05] +[2024-05-26 05:02:50,383] - INFO: Epoch 2205/9999, Iter 220440: Loss = 0.009970582090318203, lr = [2.5e-05] +[2024-05-26 05:03:17,641] - INFO: Epoch 2205/9999, Iter 220480: Loss = 0.010962974280118942, lr = [2.5e-05] +[2024-05-26 05:03:30,939] - INFO: Evaluate at epoch 2205! +[2024-05-26 05:03:35,641] - INFO: Eval PSNR (max): 38.198 (2125) SSIM (max): 0.9616 (2105) +[2024-05-26 05:03:35,642] - INFO: Eval PSNR (current): 38.187 (2205) SSIM (current): 0.9615 (2205) +[2024-05-26 05:03:35,642] - INFO: Evaluation over. +[2024-05-26 05:03:56,111] - INFO: Epoch 2206/9999, Iter 220520: Loss = 0.018079696223139763, lr = [2.5e-05] +[2024-05-26 05:04:23,271] - INFO: Epoch 2206/9999, Iter 220560: Loss = 0.017702627927064896, lr = [2.5e-05] +[2024-05-26 05:04:51,899] - INFO: Epoch 2207/9999, Iter 220600: Loss = 0.012291878461837769, lr = [2.5e-05] +[2024-05-26 05:05:19,246] - INFO: Epoch 2207/9999, Iter 220640: Loss = 0.010258608497679234, lr = [2.5e-05] +[2024-05-26 05:05:46,427] - INFO: Epoch 2207/9999, Iter 220680: Loss = 0.010624737478792667, lr = [2.5e-05] +[2024-05-26 05:06:15,161] - INFO: Epoch 2208/9999, Iter 220720: Loss = 0.007525581866502762, lr = [2.5e-05] +[2024-05-26 05:06:42,393] - INFO: Epoch 2208/9999, Iter 220760: Loss = 0.024316634982824326, lr = [2.5e-05] +[2024-05-26 05:07:10,906] - INFO: Epoch 2209/9999, Iter 220800: Loss = 0.011831946671009064, lr = [2.5e-05] +[2024-05-26 05:07:38,235] - INFO: Epoch 2209/9999, Iter 220840: Loss = 0.013205637224018574, lr = [2.5e-05] +[2024-05-26 05:08:05,423] - INFO: Epoch 2209/9999, Iter 220880: Loss = 0.010052305646240711, lr = [2.5e-05] +[2024-05-26 05:08:33,894] - INFO: Epoch 2210/9999, Iter 220920: Loss = 0.010261036455631256, lr = [2.5e-05] +[2024-05-26 05:09:01,095] - INFO: Epoch 2210/9999, Iter 220960: Loss = 0.016728416085243225, lr = [2.5e-05] +[2024-05-26 05:09:27,997] - INFO: Evaluate at epoch 2210! +[2024-05-26 05:09:38,060] - INFO: Eval PSNR (max): 38.198 (2125) SSIM (max): 0.9616 (2210) +[2024-05-26 05:09:38,060] - INFO: Eval PSNR (current): 38.191 (2210) SSIM (current): 0.9616 (2210) +[2024-05-26 05:09:38,061] - INFO: Evaluation over. +[2024-05-26 05:09:44,940] - INFO: Epoch 2211/9999, Iter 221000: Loss = 0.010373476892709732, lr = [2.5e-05] +[2024-05-26 05:10:12,170] - INFO: Epoch 2211/9999, Iter 221040: Loss = 0.025231892243027687, lr = [2.5e-05] +[2024-05-26 05:10:39,403] - INFO: Epoch 2211/9999, Iter 221080: Loss = 0.012780986726284027, lr = [2.5e-05] +[2024-05-26 05:11:08,118] - INFO: Epoch 2212/9999, Iter 221120: Loss = 0.013977158814668655, lr = [2.5e-05] +[2024-05-26 05:11:35,361] - INFO: Epoch 2212/9999, Iter 221160: Loss = 0.02112135849893093, lr = [2.5e-05] +[2024-05-26 05:12:03,868] - INFO: Epoch 2213/9999, Iter 221200: Loss = 0.012748251669108868, lr = [2.5e-05] +[2024-05-26 05:12:31,167] - INFO: Epoch 2213/9999, Iter 221240: Loss = 0.011819261126220226, lr = [2.5e-05] +[2024-05-26 05:12:58,359] - INFO: Epoch 2213/9999, Iter 221280: Loss = 0.008693144656717777, lr = [2.5e-05] +[2024-05-26 05:13:27,043] - INFO: Epoch 2214/9999, Iter 221320: Loss = 0.019301261752843857, lr = [2.5e-05] +[2024-05-26 05:13:54,391] - INFO: Epoch 2214/9999, Iter 221360: Loss = 0.012254415079951286, lr = [2.5e-05] +[2024-05-26 05:14:22,792] - INFO: Epoch 2215/9999, Iter 221400: Loss = 0.007583653554320335, lr = [2.5e-05] +[2024-05-26 05:14:50,069] - INFO: Epoch 2215/9999, Iter 221440: Loss = 0.012686572037637234, lr = [2.5e-05] +[2024-05-26 05:15:17,377] - INFO: Epoch 2215/9999, Iter 221480: Loss = 0.021272143349051476, lr = [2.5e-05] +[2024-05-26 05:15:30,693] - INFO: Evaluate at epoch 2215! +[2024-05-26 05:15:35,313] - INFO: Eval PSNR (max): 38.198 (2125) SSIM (max): 0.9616 (2210) +[2024-05-26 05:15:35,314] - INFO: Eval PSNR (current): 38.181 (2215) SSIM (current): 0.9615 (2215) +[2024-05-26 05:15:35,314] - INFO: Evaluation over. +[2024-05-26 05:15:55,887] - INFO: Epoch 2216/9999, Iter 221520: Loss = 0.01004840899258852, lr = [2.5e-05] +[2024-05-26 05:16:23,135] - INFO: Epoch 2216/9999, Iter 221560: Loss = 0.006311238743364811, lr = [2.5e-05] +[2024-05-26 05:16:51,908] - INFO: Epoch 2217/9999, Iter 221600: Loss = 0.01841590739786625, lr = [2.5e-05] +[2024-05-26 05:17:19,124] - INFO: Epoch 2217/9999, Iter 221640: Loss = 0.01260976493358612, lr = [2.5e-05] +[2024-05-26 05:17:46,363] - INFO: Epoch 2217/9999, Iter 221680: Loss = 0.01180115994066, lr = [2.5e-05] +[2024-05-26 05:18:14,839] - INFO: Epoch 2218/9999, Iter 221720: Loss = 0.01381190400570631, lr = [2.5e-05] +[2024-05-26 05:18:42,058] - INFO: Epoch 2218/9999, Iter 221760: Loss = 0.011813770979642868, lr = [2.5e-05] +[2024-05-26 05:19:10,822] - INFO: Epoch 2219/9999, Iter 221800: Loss = 0.010511654429137707, lr = [2.5e-05] +[2024-05-26 05:19:38,138] - INFO: Epoch 2219/9999, Iter 221840: Loss = 0.018665265291929245, lr = [2.5e-05] +[2024-05-26 05:20:05,383] - INFO: Epoch 2219/9999, Iter 221880: Loss = 0.010361714288592339, lr = [2.5e-05] +[2024-05-26 05:20:34,024] - INFO: Epoch 2220/9999, Iter 221920: Loss = 0.008461002260446548, lr = [2.5e-05] +[2024-05-26 05:21:01,384] - INFO: Epoch 2220/9999, Iter 221960: Loss = 0.010464975610375404, lr = [2.5e-05] +[2024-05-26 05:21:28,379] - INFO: Evaluate at epoch 2220! +[2024-05-26 05:21:32,986] - INFO: Eval PSNR (max): 38.198 (2125) SSIM (max): 0.9616 (2210) +[2024-05-26 05:21:32,986] - INFO: Eval PSNR (current): 38.168 (2220) SSIM (current): 0.9615 (2220) +[2024-05-26 05:21:32,986] - INFO: Evaluation over. +[2024-05-26 05:21:39,900] - INFO: Epoch 2221/9999, Iter 222000: Loss = 0.014644871465861797, lr = [2.5e-05] +[2024-05-26 05:22:07,162] - INFO: Epoch 2221/9999, Iter 222040: Loss = 0.01777135394513607, lr = [2.5e-05] +[2024-05-26 05:22:34,414] - INFO: Epoch 2221/9999, Iter 222080: Loss = 0.019148416817188263, lr = [2.5e-05] +[2024-05-26 05:23:03,260] - INFO: Epoch 2222/9999, Iter 222120: Loss = 0.010779614560306072, lr = [2.5e-05] +[2024-05-26 05:23:30,594] - INFO: Epoch 2222/9999, Iter 222160: Loss = 0.013491282239556313, lr = [2.5e-05] +[2024-05-26 05:23:59,205] - INFO: Epoch 2223/9999, Iter 222200: Loss = 0.010076343081891537, lr = [2.5e-05] +[2024-05-26 05:24:26,543] - INFO: Epoch 2223/9999, Iter 222240: Loss = 0.012951411306858063, lr = [2.5e-05] +[2024-05-26 05:24:53,730] - INFO: Epoch 2223/9999, Iter 222280: Loss = 0.010733402334153652, lr = [2.5e-05] +[2024-05-26 05:25:22,350] - INFO: Epoch 2224/9999, Iter 222320: Loss = 0.00734625943005085, lr = [2.5e-05] +[2024-05-26 05:25:49,570] - INFO: Epoch 2224/9999, Iter 222360: Loss = 0.014708755537867546, lr = [2.5e-05] +[2024-05-26 05:26:18,020] - INFO: Epoch 2225/9999, Iter 222400: Loss = 0.011236322112381458, lr = [2.5e-05] +[2024-05-26 05:26:45,337] - INFO: Epoch 2225/9999, Iter 222440: Loss = 0.0066259391605854034, lr = [2.5e-05] +[2024-05-26 05:27:12,603] - INFO: Epoch 2225/9999, Iter 222480: Loss = 0.017925705760717392, lr = [2.5e-05] +[2024-05-26 05:27:25,941] - INFO: Evaluate at epoch 2225! +[2024-05-26 05:27:41,314] - INFO: Eval PSNR (max): 38.201 (2225) SSIM (max): 0.9616 (2225) +[2024-05-26 05:27:41,314] - INFO: Eval PSNR (current): 38.201 (2225) SSIM (current): 0.9616 (2225) +[2024-05-26 05:27:41,314] - INFO: Evaluation over. +[2024-05-26 05:28:01,798] - INFO: Epoch 2226/9999, Iter 222520: Loss = 0.019042566418647766, lr = [2.5e-05] +[2024-05-26 05:28:29,050] - INFO: Epoch 2226/9999, Iter 222560: Loss = 0.01348427589982748, lr = [2.5e-05] +[2024-05-26 05:28:57,615] - INFO: Epoch 2227/9999, Iter 222600: Loss = 0.013437915593385696, lr = [2.5e-05] +[2024-05-26 05:29:24,899] - INFO: Epoch 2227/9999, Iter 222640: Loss = 0.008045370690524578, lr = [2.5e-05] +[2024-05-26 05:29:52,176] - INFO: Epoch 2227/9999, Iter 222680: Loss = 0.013463316485285759, lr = [2.5e-05] +[2024-05-26 05:30:20,989] - INFO: Epoch 2228/9999, Iter 222720: Loss = 0.011463087983429432, lr = [2.5e-05] +[2024-05-26 05:30:48,199] - INFO: Epoch 2228/9999, Iter 222760: Loss = 0.01341453567147255, lr = [2.5e-05] +[2024-05-26 05:31:16,708] - INFO: Epoch 2229/9999, Iter 222800: Loss = 0.010896844789385796, lr = [2.5e-05] +[2024-05-26 05:31:44,076] - INFO: Epoch 2229/9999, Iter 222840: Loss = 0.011994216591119766, lr = [2.5e-05] +[2024-05-26 05:32:11,289] - INFO: Epoch 2229/9999, Iter 222880: Loss = 0.01367516815662384, lr = [2.5e-05] +[2024-05-26 05:32:40,118] - INFO: Epoch 2230/9999, Iter 222920: Loss = 0.01805828884243965, lr = [2.5e-05] +[2024-05-26 05:33:07,348] - INFO: Epoch 2230/9999, Iter 222960: Loss = 0.01567745953798294, lr = [2.5e-05] +[2024-05-26 05:33:34,240] - INFO: Evaluate at epoch 2230! +[2024-05-26 05:33:39,022] - INFO: Eval PSNR (max): 38.201 (2225) SSIM (max): 0.9616 (2225) +[2024-05-26 05:33:39,022] - INFO: Eval PSNR (current): 38.183 (2230) SSIM (current): 0.9615 (2230) +[2024-05-26 05:33:39,022] - INFO: Evaluation over. +[2024-05-26 05:33:45,836] - INFO: Epoch 2231/9999, Iter 223000: Loss = 0.015480481088161469, lr = [2.5e-05] +[2024-05-26 05:34:13,181] - INFO: Epoch 2231/9999, Iter 223040: Loss = 0.015310132876038551, lr = [2.5e-05] +[2024-05-26 05:34:40,443] - INFO: Epoch 2231/9999, Iter 223080: Loss = 0.008682029321789742, lr = [2.5e-05] +[2024-05-26 05:35:09,035] - INFO: Epoch 2232/9999, Iter 223120: Loss = 0.009454396553337574, lr = [2.5e-05] +[2024-05-26 05:35:36,247] - INFO: Epoch 2232/9999, Iter 223160: Loss = 0.011013487353920937, lr = [2.5e-05] +[2024-05-26 05:36:04,932] - INFO: Epoch 2233/9999, Iter 223200: Loss = 0.010411012917757034, lr = [2.5e-05] +[2024-05-26 05:36:32,242] - INFO: Epoch 2233/9999, Iter 223240: Loss = 0.009501217864453793, lr = [2.5e-05] +[2024-05-26 05:36:59,439] - INFO: Epoch 2233/9999, Iter 223280: Loss = 0.011938223615288734, lr = [2.5e-05] +[2024-05-26 05:37:28,252] - INFO: Epoch 2234/9999, Iter 223320: Loss = 0.009322404861450195, lr = [2.5e-05] +[2024-05-26 05:37:55,478] - INFO: Epoch 2234/9999, Iter 223360: Loss = 0.008030598983168602, lr = [2.5e-05] +[2024-05-26 05:38:23,874] - INFO: Epoch 2235/9999, Iter 223400: Loss = 0.01803111843764782, lr = [2.5e-05] +[2024-05-26 05:38:51,240] - INFO: Epoch 2235/9999, Iter 223440: Loss = 0.015684865415096283, lr = [2.5e-05] +[2024-05-26 05:39:18,420] - INFO: Epoch 2235/9999, Iter 223480: Loss = 0.010093139484524727, lr = [2.5e-05] +[2024-05-26 05:39:31,694] - INFO: Evaluate at epoch 2235! +[2024-05-26 05:39:36,268] - INFO: Eval PSNR (max): 38.201 (2225) SSIM (max): 0.9616 (2225) +[2024-05-26 05:39:36,268] - INFO: Eval PSNR (current): 38.181 (2235) SSIM (current): 0.9615 (2235) +[2024-05-26 05:39:36,268] - INFO: Evaluation over. +[2024-05-26 05:39:56,716] - INFO: Epoch 2236/9999, Iter 223520: Loss = 0.010268948040902615, lr = [2.5e-05] +[2024-05-26 05:40:24,031] - INFO: Epoch 2236/9999, Iter 223560: Loss = 0.023748479783535004, lr = [2.5e-05] +[2024-05-26 05:40:52,771] - INFO: Epoch 2237/9999, Iter 223600: Loss = 0.019277561455965042, lr = [2.5e-05] +[2024-05-26 05:41:20,025] - INFO: Epoch 2237/9999, Iter 223640: Loss = 0.015484878793358803, lr = [2.5e-05] +[2024-05-26 05:41:47,210] - INFO: Epoch 2237/9999, Iter 223680: Loss = 0.011800531297922134, lr = [2.5e-05] +[2024-05-26 05:42:16,056] - INFO: Epoch 2238/9999, Iter 223720: Loss = 0.015596297569572926, lr = [2.5e-05] +[2024-05-26 05:42:43,257] - INFO: Epoch 2238/9999, Iter 223760: Loss = 0.02078068256378174, lr = [2.5e-05] +[2024-05-26 05:43:11,956] - INFO: Epoch 2239/9999, Iter 223800: Loss = 0.009602979756891727, lr = [2.5e-05] +[2024-05-26 05:43:39,290] - INFO: Epoch 2239/9999, Iter 223840: Loss = 0.009242613799870014, lr = [2.5e-05] +[2024-05-26 05:44:06,505] - INFO: Epoch 2239/9999, Iter 223880: Loss = 0.009374267421662807, lr = [2.5e-05] +[2024-05-26 05:44:35,353] - INFO: Epoch 2240/9999, Iter 223920: Loss = 0.02494400553405285, lr = [2.5e-05] +[2024-05-26 05:45:02,575] - INFO: Epoch 2240/9999, Iter 223960: Loss = 0.007062977645546198, lr = [2.5e-05] +[2024-05-26 05:45:29,421] - INFO: Evaluate at epoch 2240! +[2024-05-26 05:45:34,075] - INFO: Eval PSNR (max): 38.201 (2225) SSIM (max): 0.9616 (2225) +[2024-05-26 05:45:34,076] - INFO: Eval PSNR (current): 38.192 (2240) SSIM (current): 0.9616 (2240) +[2024-05-26 05:45:34,076] - INFO: Evaluation over. +[2024-05-26 05:45:41,042] - INFO: Epoch 2241/9999, Iter 224000: Loss = 0.01897124946117401, lr = [2.5e-05] +[2024-05-26 05:46:08,426] - INFO: Epoch 2241/9999, Iter 224040: Loss = 0.017314249649643898, lr = [2.5e-05] +[2024-05-26 05:46:35,646] - INFO: Epoch 2241/9999, Iter 224080: Loss = 0.011027419939637184, lr = [2.5e-05] +[2024-05-26 05:47:04,326] - INFO: Epoch 2242/9999, Iter 224120: Loss = 0.012874226085841656, lr = [2.5e-05] +[2024-05-26 05:47:31,506] - INFO: Epoch 2242/9999, Iter 224160: Loss = 0.017972245812416077, lr = [2.5e-05] +[2024-05-26 05:47:59,944] - INFO: Epoch 2243/9999, Iter 224200: Loss = 0.01071284618228674, lr = [2.5e-05] +[2024-05-26 05:48:27,236] - INFO: Epoch 2243/9999, Iter 224240: Loss = 0.019526543095707893, lr = [2.5e-05] +[2024-05-26 05:48:54,462] - INFO: Epoch 2243/9999, Iter 224280: Loss = 0.01009113248437643, lr = [2.5e-05] +[2024-05-26 05:49:27,355] - INFO: Epoch 2244/9999, Iter 224320: Loss = 0.008066384121775627, lr = [2.5e-05] +[2024-05-26 05:49:56,824] - INFO: Epoch 2244/9999, Iter 224360: Loss = 0.012744497507810593, lr = [2.5e-05] +[2024-05-26 05:50:25,449] - INFO: Epoch 2245/9999, Iter 224400: Loss = 0.011741247959434986, lr = [2.5e-05] +[2024-05-26 05:50:53,109] - INFO: Epoch 2245/9999, Iter 224440: Loss = 0.008905826136469841, lr = [2.5e-05] +[2024-05-26 05:51:20,665] - INFO: Epoch 2245/9999, Iter 224480: Loss = 0.0152821009978652, lr = [2.5e-05] +[2024-05-26 05:51:33,922] - INFO: Evaluate at epoch 2245! +[2024-05-26 05:51:40,758] - INFO: Eval PSNR (max): 38.201 (2225) SSIM (max): 0.9616 (2225) +[2024-05-26 05:51:40,758] - INFO: Eval PSNR (current): 38.153 (2245) SSIM (current): 0.9615 (2245) +[2024-05-26 05:51:40,758] - INFO: Evaluation over. +[2024-05-26 05:52:07,010] - INFO: Epoch 2246/9999, Iter 224520: Loss = 0.007546665612608194, lr = [2.5e-05] +[2024-05-26 05:52:34,472] - INFO: Epoch 2246/9999, Iter 224560: Loss = 0.008363040164113045, lr = [2.5e-05] +[2024-05-26 05:53:03,257] - INFO: Epoch 2247/9999, Iter 224600: Loss = 0.021062083542346954, lr = [2.5e-05] +[2024-05-26 05:53:31,132] - INFO: Epoch 2247/9999, Iter 224640: Loss = 0.011625976301729679, lr = [2.5e-05] +[2024-05-26 05:53:58,473] - INFO: Epoch 2247/9999, Iter 224680: Loss = 0.015782346948981285, lr = [2.5e-05] +[2024-05-26 05:54:29,211] - INFO: Epoch 2248/9999, Iter 224720: Loss = 0.01343256700783968, lr = [2.5e-05] +[2024-05-26 05:54:56,568] - INFO: Epoch 2248/9999, Iter 224760: Loss = 0.021464243531227112, lr = [2.5e-05] +[2024-05-26 05:55:25,642] - INFO: Epoch 2249/9999, Iter 224800: Loss = 0.013696006499230862, lr = [2.5e-05] +[2024-05-26 05:55:53,059] - INFO: Epoch 2249/9999, Iter 224840: Loss = 0.019898952916264534, lr = [2.5e-05] +[2024-05-26 05:56:20,314] - INFO: Epoch 2249/9999, Iter 224880: Loss = 0.006784886121749878, lr = [2.5e-05] +[2024-05-26 05:56:48,920] - INFO: Epoch 2250/9999, Iter 224920: Loss = 0.008138682693243027, lr = [2.5e-05] +[2024-05-26 05:57:16,198] - INFO: Epoch 2250/9999, Iter 224960: Loss = 0.012556837871670723, lr = [2.5e-05] +[2024-05-26 05:57:43,133] - INFO: Evaluate at epoch 2250! +[2024-05-26 05:57:47,754] - INFO: Eval PSNR (max): 38.201 (2225) SSIM (max): 0.9616 (2225) +[2024-05-26 05:57:47,754] - INFO: Eval PSNR (current): 38.187 (2250) SSIM (current): 0.9616 (2250) +[2024-05-26 05:57:47,754] - INFO: Evaluation over. +[2024-05-26 05:57:54,647] - INFO: Epoch 2251/9999, Iter 225000: Loss = 0.011906291358172894, lr = [2.5e-05] +[2024-05-26 05:58:21,933] - INFO: Epoch 2251/9999, Iter 225040: Loss = 0.015968987718224525, lr = [2.5e-05] +[2024-05-26 05:58:49,138] - INFO: Epoch 2251/9999, Iter 225080: Loss = 0.010848102159798145, lr = [2.5e-05] +[2024-05-26 05:59:17,898] - INFO: Epoch 2252/9999, Iter 225120: Loss = 0.006210406310856342, lr = [2.5e-05] +[2024-05-26 05:59:45,124] - INFO: Epoch 2252/9999, Iter 225160: Loss = 0.01020305696874857, lr = [2.5e-05] +[2024-05-26 06:00:13,630] - INFO: Epoch 2253/9999, Iter 225200: Loss = 0.008083043619990349, lr = [2.5e-05] +[2024-05-26 06:00:40,920] - INFO: Epoch 2253/9999, Iter 225240: Loss = 0.010243678465485573, lr = [2.5e-05] +[2024-05-26 06:01:08,195] - INFO: Epoch 2253/9999, Iter 225280: Loss = 0.015716902911663055, lr = [2.5e-05] +[2024-05-26 06:01:36,902] - INFO: Epoch 2254/9999, Iter 225320: Loss = 0.007282431703060865, lr = [2.5e-05] +[2024-05-26 06:02:04,104] - INFO: Epoch 2254/9999, Iter 225360: Loss = 0.012924298644065857, lr = [2.5e-05] +[2024-05-26 06:02:33,016] - INFO: Epoch 2255/9999, Iter 225400: Loss = 0.012632224708795547, lr = [2.5e-05] +[2024-05-26 06:03:00,398] - INFO: Epoch 2255/9999, Iter 225440: Loss = 0.008653399534523487, lr = [2.5e-05] +[2024-05-26 06:03:27,624] - INFO: Epoch 2255/9999, Iter 225480: Loss = 0.004689385183155537, lr = [2.5e-05] +[2024-05-26 06:03:40,947] - INFO: Evaluate at epoch 2255! +[2024-05-26 06:03:45,461] - INFO: Eval PSNR (max): 38.201 (2225) SSIM (max): 0.9616 (2225) +[2024-05-26 06:03:45,462] - INFO: Eval PSNR (current): 38.180 (2255) SSIM (current): 0.9616 (2255) +[2024-05-26 06:03:45,462] - INFO: Evaluation over. +[2024-05-26 06:04:05,988] - INFO: Epoch 2256/9999, Iter 225520: Loss = 0.008476820774376392, lr = [2.5e-05] +[2024-05-26 06:04:33,253] - INFO: Epoch 2256/9999, Iter 225560: Loss = 0.013157427310943604, lr = [2.5e-05] +[2024-05-26 06:05:01,760] - INFO: Epoch 2257/9999, Iter 225600: Loss = 0.015026586130261421, lr = [2.5e-05] +[2024-05-26 06:05:29,019] - INFO: Epoch 2257/9999, Iter 225640: Loss = 0.018723033368587494, lr = [2.5e-05] +[2024-05-26 06:05:56,216] - INFO: Epoch 2257/9999, Iter 225680: Loss = 0.010518663562834263, lr = [2.5e-05] +[2024-05-26 06:06:25,010] - INFO: Epoch 2258/9999, Iter 225720: Loss = 0.017460424453020096, lr = [2.5e-05] +[2024-05-26 06:06:52,264] - INFO: Epoch 2258/9999, Iter 225760: Loss = 0.011972210370004177, lr = [2.5e-05] +[2024-05-26 06:07:20,812] - INFO: Epoch 2259/9999, Iter 225800: Loss = 0.009069163352251053, lr = [2.5e-05] +[2024-05-26 06:07:48,177] - INFO: Epoch 2259/9999, Iter 225840: Loss = 0.016559887677431107, lr = [2.5e-05] +[2024-05-26 06:08:15,409] - INFO: Epoch 2259/9999, Iter 225880: Loss = 0.009009656496345997, lr = [2.5e-05] +[2024-05-26 06:08:44,291] - INFO: Epoch 2260/9999, Iter 225920: Loss = 0.014337906613945961, lr = [2.5e-05] +[2024-05-26 06:09:11,512] - INFO: Epoch 2260/9999, Iter 225960: Loss = 0.005137577187269926, lr = [2.5e-05] +[2024-05-26 06:09:38,424] - INFO: Evaluate at epoch 2260! +[2024-05-26 06:09:43,037] - INFO: Eval PSNR (max): 38.201 (2225) SSIM (max): 0.9616 (2225) +[2024-05-26 06:09:43,037] - INFO: Eval PSNR (current): 38.193 (2260) SSIM (current): 0.9615 (2260) +[2024-05-26 06:09:43,037] - INFO: Evaluation over. +[2024-05-26 06:09:49,569] - INFO: Epoch 2261/9999, Iter 226000: Loss = 0.012056046165525913, lr = [2.5e-05] +[2024-05-26 06:10:16,904] - INFO: Epoch 2261/9999, Iter 226040: Loss = 0.015876390039920807, lr = [2.5e-05] +[2024-05-26 06:10:44,103] - INFO: Epoch 2261/9999, Iter 226080: Loss = 0.009719181805849075, lr = [2.5e-05] +[2024-05-26 06:11:12,768] - INFO: Epoch 2262/9999, Iter 226120: Loss = 0.011310621164739132, lr = [2.5e-05] +[2024-05-26 06:11:39,973] - INFO: Epoch 2262/9999, Iter 226160: Loss = 0.016793973743915558, lr = [2.5e-05] +[2024-05-26 06:12:08,460] - INFO: Epoch 2263/9999, Iter 226200: Loss = 0.013413840904831886, lr = [2.5e-05] +[2024-05-26 06:12:35,847] - INFO: Epoch 2263/9999, Iter 226240: Loss = 0.015322797931730747, lr = [2.5e-05] +[2024-05-26 06:13:03,085] - INFO: Epoch 2263/9999, Iter 226280: Loss = 0.010777791030704975, lr = [2.5e-05] +[2024-05-26 06:13:31,751] - INFO: Epoch 2264/9999, Iter 226320: Loss = 0.009783722460269928, lr = [2.5e-05] +[2024-05-26 06:13:59,020] - INFO: Epoch 2264/9999, Iter 226360: Loss = 0.006347674876451492, lr = [2.5e-05] +[2024-05-26 06:14:27,380] - INFO: Epoch 2265/9999, Iter 226400: Loss = 0.011455555446445942, lr = [2.5e-05] +[2024-05-26 06:14:54,745] - INFO: Epoch 2265/9999, Iter 226440: Loss = 0.011288618668913841, lr = [2.5e-05] +[2024-05-26 06:15:21,960] - INFO: Epoch 2265/9999, Iter 226480: Loss = 0.0074606225825846195, lr = [2.5e-05] +[2024-05-26 06:15:35,268] - INFO: Evaluate at epoch 2265! +[2024-05-26 06:15:44,965] - INFO: Eval PSNR (max): 38.201 (2225) SSIM (max): 0.9616 (2265) +[2024-05-26 06:15:44,966] - INFO: Eval PSNR (current): 38.186 (2265) SSIM (current): 0.9616 (2265) +[2024-05-26 06:15:44,966] - INFO: Evaluation over. +[2024-05-26 06:16:05,335] - INFO: Epoch 2266/9999, Iter 226520: Loss = 0.009953523054718971, lr = [2.5e-05] +[2024-05-26 06:16:32,572] - INFO: Epoch 2266/9999, Iter 226560: Loss = 0.01472693495452404, lr = [2.5e-05] +[2024-05-26 06:17:01,088] - INFO: Epoch 2267/9999, Iter 226600: Loss = 0.010240997187793255, lr = [2.5e-05] +[2024-05-26 06:17:28,481] - INFO: Epoch 2267/9999, Iter 226640: Loss = 0.018219124525785446, lr = [2.5e-05] +[2024-05-26 06:17:55,688] - INFO: Epoch 2267/9999, Iter 226680: Loss = 0.012935495935380459, lr = [2.5e-05] +[2024-05-26 06:18:24,523] - INFO: Epoch 2268/9999, Iter 226720: Loss = 0.011219821870326996, lr = [2.5e-05] +[2024-05-26 06:18:51,764] - INFO: Epoch 2268/9999, Iter 226760: Loss = 0.013290195725858212, lr = [2.5e-05] +[2024-05-26 06:19:20,296] - INFO: Epoch 2269/9999, Iter 226800: Loss = 0.010088167153298855, lr = [2.5e-05] +[2024-05-26 06:19:47,576] - INFO: Epoch 2269/9999, Iter 226840: Loss = 0.011025962419807911, lr = [2.5e-05] +[2024-05-26 06:20:14,842] - INFO: Epoch 2269/9999, Iter 226880: Loss = 0.017450911924242973, lr = [2.5e-05] +[2024-05-26 06:20:43,668] - INFO: Epoch 2270/9999, Iter 226920: Loss = 0.014276636764407158, lr = [2.5e-05] +[2024-05-26 06:21:10,847] - INFO: Epoch 2270/9999, Iter 226960: Loss = 0.01369837298989296, lr = [2.5e-05] +[2024-05-26 06:21:37,777] - INFO: Evaluate at epoch 2270! +[2024-05-26 06:21:42,461] - INFO: Eval PSNR (max): 38.201 (2225) SSIM (max): 0.9616 (2265) +[2024-05-26 06:21:42,461] - INFO: Eval PSNR (current): 38.182 (2270) SSIM (current): 0.9615 (2270) +[2024-05-26 06:21:42,461] - INFO: Evaluation over. +[2024-05-26 06:21:48,998] - INFO: Epoch 2271/9999, Iter 227000: Loss = 0.01149872038513422, lr = [2.5e-05] +[2024-05-26 06:22:16,345] - INFO: Epoch 2271/9999, Iter 227040: Loss = 0.019516009837388992, lr = [2.5e-05] +[2024-05-26 06:22:43,583] - INFO: Epoch 2271/9999, Iter 227080: Loss = 0.01256744284182787, lr = [2.5e-05] +[2024-05-26 06:23:12,437] - INFO: Epoch 2272/9999, Iter 227120: Loss = 0.014856801368296146, lr = [2.5e-05] +[2024-05-26 06:23:39,669] - INFO: Epoch 2272/9999, Iter 227160: Loss = 0.011563980020582676, lr = [2.5e-05] +[2024-05-26 06:24:08,391] - INFO: Epoch 2273/9999, Iter 227200: Loss = 0.014492908492684364, lr = [2.5e-05] +[2024-05-26 06:24:35,719] - INFO: Epoch 2273/9999, Iter 227240: Loss = 0.01271800696849823, lr = [2.5e-05] +[2024-05-26 06:25:03,034] - INFO: Epoch 2273/9999, Iter 227280: Loss = 0.015835801139473915, lr = [2.5e-05] +[2024-05-26 06:25:31,871] - INFO: Epoch 2274/9999, Iter 227320: Loss = 0.010508053004741669, lr = [2.5e-05] +[2024-05-26 06:25:59,188] - INFO: Epoch 2274/9999, Iter 227360: Loss = 0.00883639045059681, lr = [2.5e-05] +[2024-05-26 06:26:27,717] - INFO: Epoch 2275/9999, Iter 227400: Loss = 0.0122413020581007, lr = [2.5e-05] +[2024-05-26 06:26:55,090] - INFO: Epoch 2275/9999, Iter 227440: Loss = 0.009725809097290039, lr = [2.5e-05] +[2024-05-26 06:27:22,336] - INFO: Epoch 2275/9999, Iter 227480: Loss = 0.012680287472903728, lr = [2.5e-05] +[2024-05-26 06:27:35,624] - INFO: Evaluate at epoch 2275! +[2024-05-26 06:27:40,258] - INFO: Eval PSNR (max): 38.201 (2225) SSIM (max): 0.9616 (2265) +[2024-05-26 06:27:40,258] - INFO: Eval PSNR (current): 38.175 (2275) SSIM (current): 0.9615 (2275) +[2024-05-26 06:27:40,258] - INFO: Evaluation over. +[2024-05-26 06:28:01,015] - INFO: Epoch 2276/9999, Iter 227520: Loss = 0.01006949320435524, lr = [2.5e-05] +[2024-05-26 06:28:28,264] - INFO: Epoch 2276/9999, Iter 227560: Loss = 0.01329858135432005, lr = [2.5e-05] +[2024-05-26 06:28:56,713] - INFO: Epoch 2277/9999, Iter 227600: Loss = 0.012724922969937325, lr = [2.5e-05] +[2024-05-26 06:29:24,067] - INFO: Epoch 2277/9999, Iter 227640: Loss = 0.008744559250772, lr = [2.5e-05] +[2024-05-26 06:29:51,294] - INFO: Epoch 2277/9999, Iter 227680: Loss = 0.012087062932550907, lr = [2.5e-05] +[2024-05-26 06:30:20,051] - INFO: Epoch 2278/9999, Iter 227720: Loss = 0.010467941872775555, lr = [2.5e-05] +[2024-05-26 06:30:47,266] - INFO: Epoch 2278/9999, Iter 227760: Loss = 0.01433671172708273, lr = [2.5e-05] +[2024-05-26 06:31:15,628] - INFO: Epoch 2279/9999, Iter 227800: Loss = 0.011904710903763771, lr = [2.5e-05] +[2024-05-26 06:31:43,022] - INFO: Epoch 2279/9999, Iter 227840: Loss = 0.006972428411245346, lr = [2.5e-05] +[2024-05-26 06:32:10,260] - INFO: Epoch 2279/9999, Iter 227880: Loss = 0.011073285713791847, lr = [2.5e-05] +[2024-05-26 06:32:38,877] - INFO: Epoch 2280/9999, Iter 227920: Loss = 0.014279788359999657, lr = [2.5e-05] +[2024-05-26 06:33:06,140] - INFO: Epoch 2280/9999, Iter 227960: Loss = 0.021493472158908844, lr = [2.5e-05] +[2024-05-26 06:33:33,082] - INFO: Evaluate at epoch 2280! +[2024-05-26 06:33:42,842] - INFO: Eval PSNR (max): 38.203 (2280) SSIM (max): 0.9616 (2265) +[2024-05-26 06:33:42,842] - INFO: Eval PSNR (current): 38.203 (2280) SSIM (current): 0.9615 (2280) +[2024-05-26 06:33:42,842] - INFO: Evaluation over. +[2024-05-26 06:33:49,614] - INFO: Epoch 2281/9999, Iter 228000: Loss = 0.0143622737377882, lr = [2.5e-05] +[2024-05-26 06:34:17,016] - INFO: Epoch 2281/9999, Iter 228040: Loss = 0.010599968954920769, lr = [2.5e-05] +[2024-05-26 06:34:44,224] - INFO: Epoch 2281/9999, Iter 228080: Loss = 0.015978801995515823, lr = [2.5e-05] +[2024-05-26 06:35:12,839] - INFO: Epoch 2282/9999, Iter 228120: Loss = 0.018490014597773552, lr = [2.5e-05] +[2024-05-26 06:35:40,110] - INFO: Epoch 2282/9999, Iter 228160: Loss = 0.01675228774547577, lr = [2.5e-05] +[2024-05-26 06:36:08,523] - INFO: Epoch 2283/9999, Iter 228200: Loss = 0.010351907461881638, lr = [2.5e-05] +[2024-05-26 06:36:35,893] - INFO: Epoch 2283/9999, Iter 228240: Loss = 0.012059688568115234, lr = [2.5e-05] +[2024-05-26 06:37:03,172] - INFO: Epoch 2283/9999, Iter 228280: Loss = 0.013649038039147854, lr = [2.5e-05] +[2024-05-26 06:37:31,840] - INFO: Epoch 2284/9999, Iter 228320: Loss = 0.010790280066430569, lr = [2.5e-05] +[2024-05-26 06:37:59,105] - INFO: Epoch 2284/9999, Iter 228360: Loss = 0.012488316744565964, lr = [2.5e-05] +[2024-05-26 06:38:27,775] - INFO: Epoch 2285/9999, Iter 228400: Loss = 0.016610445454716682, lr = [2.5e-05] +[2024-05-26 06:38:55,036] - INFO: Epoch 2285/9999, Iter 228440: Loss = 0.009809180162847042, lr = [2.5e-05] +[2024-05-26 06:39:22,289] - INFO: Epoch 2285/9999, Iter 228480: Loss = 0.00956928264349699, lr = [2.5e-05] +[2024-05-26 06:39:35,576] - INFO: Evaluate at epoch 2285! +[2024-05-26 06:39:40,228] - INFO: Eval PSNR (max): 38.203 (2280) SSIM (max): 0.9616 (2265) +[2024-05-26 06:39:40,228] - INFO: Eval PSNR (current): 38.189 (2285) SSIM (current): 0.9616 (2285) +[2024-05-26 06:39:40,228] - INFO: Evaluation over. +[2024-05-26 06:40:00,300] - INFO: Epoch 2286/9999, Iter 228520: Loss = 0.011760994791984558, lr = [2.5e-05] +[2024-05-26 06:40:27,611] - INFO: Epoch 2286/9999, Iter 228560: Loss = 0.00908610038459301, lr = [2.5e-05] +[2024-05-26 06:40:56,225] - INFO: Epoch 2287/9999, Iter 228600: Loss = 0.016174783930182457, lr = [2.5e-05] +[2024-05-26 06:41:23,568] - INFO: Epoch 2287/9999, Iter 228640: Loss = 0.018585797399282455, lr = [2.5e-05] +[2024-05-26 06:41:50,887] - INFO: Epoch 2287/9999, Iter 228680: Loss = 0.010859533213078976, lr = [2.5e-05] +[2024-05-26 06:42:19,700] - INFO: Epoch 2288/9999, Iter 228720: Loss = 0.008813331834971905, lr = [2.5e-05] +[2024-05-26 06:42:46,896] - INFO: Epoch 2288/9999, Iter 228760: Loss = 0.006902655120939016, lr = [2.5e-05] +[2024-05-26 06:43:15,320] - INFO: Epoch 2289/9999, Iter 228800: Loss = 0.018581876531243324, lr = [2.5e-05] +[2024-05-26 06:43:42,584] - INFO: Epoch 2289/9999, Iter 228840: Loss = 0.010923339053988457, lr = [2.5e-05] +[2024-05-26 06:44:09,826] - INFO: Epoch 2289/9999, Iter 228880: Loss = 0.020178278908133507, lr = [2.5e-05] +[2024-05-26 06:44:38,570] - INFO: Epoch 2290/9999, Iter 228920: Loss = 0.008443931117653847, lr = [2.5e-05] +[2024-05-26 06:45:05,764] - INFO: Epoch 2290/9999, Iter 228960: Loss = 0.013545203022658825, lr = [2.5e-05] +[2024-05-26 06:45:32,667] - INFO: Evaluate at epoch 2290! +[2024-05-26 06:45:37,165] - INFO: Eval PSNR (max): 38.203 (2280) SSIM (max): 0.9616 (2265) +[2024-05-26 06:45:37,165] - INFO: Eval PSNR (current): 38.176 (2290) SSIM (current): 0.9615 (2290) +[2024-05-26 06:45:37,165] - INFO: Evaluation over. +[2024-05-26 06:45:43,887] - INFO: Epoch 2291/9999, Iter 229000: Loss = 0.006283222232013941, lr = [2.5e-05] +[2024-05-26 06:46:11,298] - INFO: Epoch 2291/9999, Iter 229040: Loss = 0.00863682758063078, lr = [2.5e-05] +[2024-05-26 06:46:38,459] - INFO: Epoch 2291/9999, Iter 229080: Loss = 0.009702960029244423, lr = [2.5e-05] +[2024-05-26 06:47:07,041] - INFO: Epoch 2292/9999, Iter 229120: Loss = 0.014640587382018566, lr = [2.5e-05] +[2024-05-26 06:47:34,251] - INFO: Epoch 2292/9999, Iter 229160: Loss = 0.007798521779477596, lr = [2.5e-05] +[2024-05-26 06:48:02,763] - INFO: Epoch 2293/9999, Iter 229200: Loss = 0.01273191999644041, lr = [2.5e-05] +[2024-05-26 06:48:30,092] - INFO: Epoch 2293/9999, Iter 229240: Loss = 0.005917286965996027, lr = [2.5e-05] +[2024-05-26 06:48:57,254] - INFO: Epoch 2293/9999, Iter 229280: Loss = 0.012244065292179585, lr = [2.5e-05] +[2024-05-26 06:49:25,884] - INFO: Epoch 2294/9999, Iter 229320: Loss = 0.00886762235313654, lr = [2.5e-05] +[2024-05-26 06:49:53,154] - INFO: Epoch 2294/9999, Iter 229360: Loss = 0.01084882952272892, lr = [2.5e-05] +[2024-05-26 06:50:21,701] - INFO: Epoch 2295/9999, Iter 229400: Loss = 0.010117767378687859, lr = [2.5e-05] +[2024-05-26 06:50:48,961] - INFO: Epoch 2295/9999, Iter 229440: Loss = 0.011575715616345406, lr = [2.5e-05] +[2024-05-26 06:51:16,212] - INFO: Epoch 2295/9999, Iter 229480: Loss = 0.01307025458663702, lr = [2.5e-05] +[2024-05-26 06:51:29,485] - INFO: Evaluate at epoch 2295! +[2024-05-26 06:51:33,936] - INFO: Eval PSNR (max): 38.203 (2280) SSIM (max): 0.9616 (2265) +[2024-05-26 06:51:33,936] - INFO: Eval PSNR (current): 38.177 (2295) SSIM (current): 0.9615 (2295) +[2024-05-26 06:51:33,936] - INFO: Evaluation over. +[2024-05-26 06:51:54,392] - INFO: Epoch 2296/9999, Iter 229520: Loss = 0.008600905537605286, lr = [2.5e-05] +[2024-05-26 06:52:21,638] - INFO: Epoch 2296/9999, Iter 229560: Loss = 0.011341540142893791, lr = [2.5e-05] +[2024-05-26 06:52:50,287] - INFO: Epoch 2297/9999, Iter 229600: Loss = 0.008964703418314457, lr = [2.5e-05] +[2024-05-26 06:53:17,495] - INFO: Epoch 2297/9999, Iter 229640: Loss = 0.01492549292743206, lr = [2.5e-05] +[2024-05-26 06:53:44,766] - INFO: Epoch 2297/9999, Iter 229680: Loss = 0.011512909084558487, lr = [2.5e-05] +[2024-05-26 06:54:13,413] - INFO: Epoch 2298/9999, Iter 229720: Loss = 0.008507849648594856, lr = [2.5e-05] +[2024-05-26 06:54:40,627] - INFO: Epoch 2298/9999, Iter 229760: Loss = 0.009184906259179115, lr = [2.5e-05] +[2024-05-26 06:55:09,174] - INFO: Epoch 2299/9999, Iter 229800: Loss = 0.008716229349374771, lr = [2.5e-05] +[2024-05-26 06:55:36,518] - INFO: Epoch 2299/9999, Iter 229840: Loss = 0.026580240577459335, lr = [2.5e-05] +[2024-05-26 06:56:03,755] - INFO: Epoch 2299/9999, Iter 229880: Loss = 0.0181051567196846, lr = [2.5e-05] +[2024-05-26 06:56:32,310] - INFO: Epoch 2300/9999, Iter 229920: Loss = 0.01109800674021244, lr = [2.5e-05] +[2024-05-26 06:56:59,568] - INFO: Epoch 2300/9999, Iter 229960: Loss = 0.014177244156599045, lr = [2.5e-05] +[2024-05-26 06:57:26,489] - INFO: Evaluate at epoch 2300! +[2024-05-26 06:57:31,214] - INFO: Eval PSNR (max): 38.203 (2280) SSIM (max): 0.9616 (2265) +[2024-05-26 06:57:31,214] - INFO: Eval PSNR (current): 38.167 (2300) SSIM (current): 0.9615 (2300) +[2024-05-26 06:57:31,214] - INFO: Evaluation over. +[2024-05-26 06:57:38,528] - INFO: Epoch 2301/9999, Iter 230000: Loss = 0.007503801956772804, lr = [2.5e-05] +[2024-05-26 06:58:05,865] - INFO: Epoch 2301/9999, Iter 230040: Loss = 0.00987196434289217, lr = [2.5e-05] +[2024-05-26 06:58:33,051] - INFO: Epoch 2301/9999, Iter 230080: Loss = 0.011090010404586792, lr = [2.5e-05] +[2024-05-26 06:59:01,790] - INFO: Epoch 2302/9999, Iter 230120: Loss = 0.009949919767677784, lr = [2.5e-05] +[2024-05-26 06:59:29,075] - INFO: Epoch 2302/9999, Iter 230160: Loss = 0.008439342491328716, lr = [2.5e-05] +[2024-05-26 06:59:57,586] - INFO: Epoch 2303/9999, Iter 230200: Loss = 0.015784630551934242, lr = [2.5e-05] +[2024-05-26 07:00:25,063] - INFO: Epoch 2303/9999, Iter 230240: Loss = 0.020135732367634773, lr = [2.5e-05] +[2024-05-26 07:00:52,225] - INFO: Epoch 2303/9999, Iter 230280: Loss = 0.01047036424279213, lr = [2.5e-05] +[2024-05-26 07:01:20,837] - INFO: Epoch 2304/9999, Iter 230320: Loss = 0.010623130947351456, lr = [2.5e-05] +[2024-05-26 07:01:48,015] - INFO: Epoch 2304/9999, Iter 230360: Loss = 0.013010731898248196, lr = [2.5e-05] +[2024-05-26 07:02:16,773] - INFO: Epoch 2305/9999, Iter 230400: Loss = 0.015221498906612396, lr = [2.5e-05] +[2024-05-26 07:02:44,132] - INFO: Epoch 2305/9999, Iter 230440: Loss = 0.02060025744140148, lr = [2.5e-05] +[2024-05-26 07:03:11,292] - INFO: Epoch 2305/9999, Iter 230480: Loss = 0.010910667479038239, lr = [2.5e-05] +[2024-05-26 07:03:24,590] - INFO: Evaluate at epoch 2305! +[2024-05-26 07:03:29,220] - INFO: Eval PSNR (max): 38.203 (2280) SSIM (max): 0.9616 (2265) +[2024-05-26 07:03:29,220] - INFO: Eval PSNR (current): 38.185 (2305) SSIM (current): 0.9615 (2305) +[2024-05-26 07:03:29,220] - INFO: Evaluation over. +[2024-05-26 07:03:49,935] - INFO: Epoch 2306/9999, Iter 230520: Loss = 0.009701700881123543, lr = [2.5e-05] +[2024-05-26 07:04:17,146] - INFO: Epoch 2306/9999, Iter 230560: Loss = 0.00874795950949192, lr = [2.5e-05] +[2024-05-26 07:04:45,869] - INFO: Epoch 2307/9999, Iter 230600: Loss = 0.011458206921815872, lr = [2.5e-05] +[2024-05-26 07:05:13,174] - INFO: Epoch 2307/9999, Iter 230640: Loss = 0.009332006797194481, lr = [2.5e-05] +[2024-05-26 07:05:40,355] - INFO: Epoch 2307/9999, Iter 230680: Loss = 0.015588645823299885, lr = [2.5e-05] +[2024-05-26 07:06:08,955] - INFO: Epoch 2308/9999, Iter 230720: Loss = 0.010662637650966644, lr = [2.5e-05] +[2024-05-26 07:06:36,220] - INFO: Epoch 2308/9999, Iter 230760: Loss = 0.009677918627858162, lr = [2.5e-05] +[2024-05-26 07:07:04,843] - INFO: Epoch 2309/9999, Iter 230800: Loss = 0.01995682157576084, lr = [2.5e-05] +[2024-05-26 07:07:32,160] - INFO: Epoch 2309/9999, Iter 230840: Loss = 0.007310330867767334, lr = [2.5e-05] +[2024-05-26 07:07:59,380] - INFO: Epoch 2309/9999, Iter 230880: Loss = 0.014719826169312, lr = [2.5e-05] +[2024-05-26 07:08:27,951] - INFO: Epoch 2310/9999, Iter 230920: Loss = 0.007689789403229952, lr = [2.5e-05] +[2024-05-26 07:08:55,173] - INFO: Epoch 2310/9999, Iter 230960: Loss = 0.010354839265346527, lr = [2.5e-05] +[2024-05-26 07:09:22,052] - INFO: Evaluate at epoch 2310! +[2024-05-26 07:09:26,638] - INFO: Eval PSNR (max): 38.203 (2280) SSIM (max): 0.9616 (2265) +[2024-05-26 07:09:26,638] - INFO: Eval PSNR (current): 38.196 (2310) SSIM (current): 0.9616 (2310) +[2024-05-26 07:09:26,638] - INFO: Evaluation over. +[2024-05-26 07:09:33,513] - INFO: Epoch 2311/9999, Iter 231000: Loss = 0.006697948556393385, lr = [2.5e-05] +[2024-05-26 07:10:00,867] - INFO: Epoch 2311/9999, Iter 231040: Loss = 0.02092912048101425, lr = [2.5e-05] +[2024-05-26 07:10:28,105] - INFO: Epoch 2311/9999, Iter 231080: Loss = 0.010425777174532413, lr = [2.5e-05] +[2024-05-26 07:10:56,724] - INFO: Epoch 2312/9999, Iter 231120: Loss = 0.008777446113526821, lr = [2.5e-05] +[2024-05-26 07:11:23,947] - INFO: Epoch 2312/9999, Iter 231160: Loss = 0.010965133085846901, lr = [2.5e-05] +[2024-05-26 07:11:52,417] - INFO: Epoch 2313/9999, Iter 231200: Loss = 0.007519618142396212, lr = [2.5e-05] +[2024-05-26 07:12:19,666] - INFO: Epoch 2313/9999, Iter 231240: Loss = 0.012391278520226479, lr = [2.5e-05] +[2024-05-26 07:12:46,887] - INFO: Epoch 2313/9999, Iter 231280: Loss = 0.008832229301333427, lr = [2.5e-05] +[2024-05-26 07:13:15,530] - INFO: Epoch 2314/9999, Iter 231320: Loss = 0.015082350932061672, lr = [2.5e-05] +[2024-05-26 07:13:42,839] - INFO: Epoch 2314/9999, Iter 231360: Loss = 0.010651546530425549, lr = [2.5e-05] +[2024-05-26 07:14:11,477] - INFO: Epoch 2315/9999, Iter 231400: Loss = 0.00899750180542469, lr = [2.5e-05] +[2024-05-26 07:14:38,846] - INFO: Epoch 2315/9999, Iter 231440: Loss = 0.008429627865552902, lr = [2.5e-05] +[2024-05-26 07:15:06,032] - INFO: Epoch 2315/9999, Iter 231480: Loss = 0.011376732029020786, lr = [2.5e-05] +[2024-05-26 07:15:19,325] - INFO: Evaluate at epoch 2315! +[2024-05-26 07:15:23,754] - INFO: Eval PSNR (max): 38.203 (2280) SSIM (max): 0.9616 (2265) +[2024-05-26 07:15:23,754] - INFO: Eval PSNR (current): 38.193 (2315) SSIM (current): 0.9616 (2315) +[2024-05-26 07:15:23,754] - INFO: Evaluation over. +[2024-05-26 07:15:44,380] - INFO: Epoch 2316/9999, Iter 231520: Loss = 0.01179999765008688, lr = [2.5e-05] +[2024-05-26 07:16:11,572] - INFO: Epoch 2316/9999, Iter 231560: Loss = 0.00911727361381054, lr = [2.5e-05] +[2024-05-26 07:16:40,204] - INFO: Epoch 2317/9999, Iter 231600: Loss = 0.015973122790455818, lr = [2.5e-05] +[2024-05-26 07:17:07,554] - INFO: Epoch 2317/9999, Iter 231640: Loss = 0.016398578882217407, lr = [2.5e-05] +[2024-05-26 07:17:34,776] - INFO: Epoch 2317/9999, Iter 231680: Loss = 0.013654130510985851, lr = [2.5e-05] +[2024-05-26 07:18:03,584] - INFO: Epoch 2318/9999, Iter 231720: Loss = 0.00966686476022005, lr = [2.5e-05] +[2024-05-26 07:18:30,837] - INFO: Epoch 2318/9999, Iter 231760: Loss = 0.012703241780400276, lr = [2.5e-05] +[2024-05-26 07:18:59,541] - INFO: Epoch 2319/9999, Iter 231800: Loss = 0.007892679423093796, lr = [2.5e-05] +[2024-05-26 07:19:26,922] - INFO: Epoch 2319/9999, Iter 231840: Loss = 0.009541003964841366, lr = [2.5e-05] +[2024-05-26 07:19:54,112] - INFO: Epoch 2319/9999, Iter 231880: Loss = 0.022465476766228676, lr = [2.5e-05] +[2024-05-26 07:20:22,767] - INFO: Epoch 2320/9999, Iter 231920: Loss = 0.008431794121861458, lr = [2.5e-05] +[2024-05-26 07:20:50,004] - INFO: Epoch 2320/9999, Iter 231960: Loss = 0.015705348923802376, lr = [2.5e-05] +[2024-05-26 07:21:16,927] - INFO: Evaluate at epoch 2320! +[2024-05-26 07:21:21,669] - INFO: Eval PSNR (max): 38.203 (2280) SSIM (max): 0.9616 (2265) +[2024-05-26 07:21:21,669] - INFO: Eval PSNR (current): 38.153 (2320) SSIM (current): 0.9614 (2320) +[2024-05-26 07:21:21,669] - INFO: Evaluation over. +[2024-05-26 07:21:28,880] - INFO: Epoch 2321/9999, Iter 232000: Loss = 0.011369950138032436, lr = [2.5e-05] +[2024-05-26 07:21:56,276] - INFO: Epoch 2321/9999, Iter 232040: Loss = 0.02045176737010479, lr = [2.5e-05] +[2024-05-26 07:22:23,574] - INFO: Epoch 2321/9999, Iter 232080: Loss = 0.013271396048367023, lr = [2.5e-05] +[2024-05-26 07:22:52,247] - INFO: Epoch 2322/9999, Iter 232120: Loss = 0.007281828671693802, lr = [2.5e-05] +[2024-05-26 07:23:19,386] - INFO: Epoch 2322/9999, Iter 232160: Loss = 0.011325187049806118, lr = [2.5e-05] +[2024-05-26 07:23:47,853] - INFO: Epoch 2323/9999, Iter 232200: Loss = 0.0038730748929083347, lr = [2.5e-05] +[2024-05-26 07:24:15,139] - INFO: Epoch 2323/9999, Iter 232240: Loss = 0.01282016932964325, lr = [2.5e-05] +[2024-05-26 07:24:42,369] - INFO: Epoch 2323/9999, Iter 232280: Loss = 0.015966402366757393, lr = [2.5e-05] +[2024-05-26 07:25:10,967] - INFO: Epoch 2324/9999, Iter 232320: Loss = 0.009381896816194057, lr = [2.5e-05] +[2024-05-26 07:25:38,228] - INFO: Epoch 2324/9999, Iter 232360: Loss = 0.0165496077388525, lr = [2.5e-05] +[2024-05-26 07:26:07,066] - INFO: Epoch 2325/9999, Iter 232400: Loss = 0.01603102684020996, lr = [2.5e-05] +[2024-05-26 07:26:34,331] - INFO: Epoch 2325/9999, Iter 232440: Loss = 0.008058440871536732, lr = [2.5e-05] +[2024-05-26 07:27:01,586] - INFO: Epoch 2325/9999, Iter 232480: Loss = 0.011293208226561546, lr = [2.5e-05] +[2024-05-26 07:27:14,856] - INFO: Evaluate at epoch 2325! +[2024-05-26 07:27:24,803] - INFO: Eval PSNR (max): 38.204 (2325) SSIM (max): 0.9616 (2265) +[2024-05-26 07:27:24,804] - INFO: Eval PSNR (current): 38.204 (2325) SSIM (current): 0.9616 (2325) +[2024-05-26 07:27:24,804] - INFO: Evaluation over. +[2024-05-26 07:27:45,379] - INFO: Epoch 2326/9999, Iter 232520: Loss = 0.003951380029320717, lr = [2.5e-05] +[2024-05-26 07:28:12,595] - INFO: Epoch 2326/9999, Iter 232560: Loss = 0.012874792329967022, lr = [2.5e-05] +[2024-05-26 07:28:41,111] - INFO: Epoch 2327/9999, Iter 232600: Loss = 0.012414822354912758, lr = [2.5e-05] +[2024-05-26 07:29:08,331] - INFO: Epoch 2327/9999, Iter 232640: Loss = 0.013282758183777332, lr = [2.5e-05] +[2024-05-26 07:29:35,533] - INFO: Epoch 2327/9999, Iter 232680: Loss = 0.021186497062444687, lr = [2.5e-05] +[2024-05-26 07:30:04,073] - INFO: Epoch 2328/9999, Iter 232720: Loss = 0.017314013093709946, lr = [2.5e-05] +[2024-05-26 07:30:31,255] - INFO: Epoch 2328/9999, Iter 232760: Loss = 0.009169507771730423, lr = [2.5e-05] +[2024-05-26 07:30:59,819] - INFO: Epoch 2329/9999, Iter 232800: Loss = 0.01729598268866539, lr = [2.5e-05] +[2024-05-26 07:31:27,193] - INFO: Epoch 2329/9999, Iter 232840: Loss = 0.00629913667216897, lr = [2.5e-05] +[2024-05-26 07:31:54,418] - INFO: Epoch 2329/9999, Iter 232880: Loss = 0.009801975451409817, lr = [2.5e-05] +[2024-05-26 07:32:22,869] - INFO: Epoch 2330/9999, Iter 232920: Loss = 0.011004360392689705, lr = [2.5e-05] +[2024-05-26 07:32:50,095] - INFO: Epoch 2330/9999, Iter 232960: Loss = 0.012282700277864933, lr = [2.5e-05] +[2024-05-26 07:33:17,005] - INFO: Evaluate at epoch 2330! +[2024-05-26 07:33:21,593] - INFO: Eval PSNR (max): 38.204 (2325) SSIM (max): 0.9616 (2265) +[2024-05-26 07:33:21,593] - INFO: Eval PSNR (current): 38.184 (2330) SSIM (current): 0.9615 (2330) +[2024-05-26 07:33:21,593] - INFO: Evaluation over. +[2024-05-26 07:33:28,861] - INFO: Epoch 2331/9999, Iter 233000: Loss = 0.013263839296996593, lr = [2.5e-05] +[2024-05-26 07:33:56,296] - INFO: Epoch 2331/9999, Iter 233040: Loss = 0.006570001598447561, lr = [2.5e-05] +[2024-05-26 07:34:23,486] - INFO: Epoch 2331/9999, Iter 233080: Loss = 0.006292808800935745, lr = [2.5e-05] +[2024-05-26 07:34:52,188] - INFO: Epoch 2332/9999, Iter 233120: Loss = 0.013672727160155773, lr = [2.5e-05] +[2024-05-26 07:35:19,469] - INFO: Epoch 2332/9999, Iter 233160: Loss = 0.02495153807103634, lr = [2.5e-05] +[2024-05-26 07:35:47,876] - INFO: Epoch 2333/9999, Iter 233200: Loss = 0.01794615387916565, lr = [2.5e-05] +[2024-05-26 07:36:15,194] - INFO: Epoch 2333/9999, Iter 233240: Loss = 0.015483977273106575, lr = [2.5e-05] +[2024-05-26 07:36:42,318] - INFO: Epoch 2333/9999, Iter 233280: Loss = 0.0072989314794540405, lr = [2.5e-05] +[2024-05-26 07:37:10,870] - INFO: Epoch 2334/9999, Iter 233320: Loss = 0.010397086851298809, lr = [2.5e-05] +[2024-05-26 07:37:38,071] - INFO: Epoch 2334/9999, Iter 233360: Loss = 0.010152812115848064, lr = [2.5e-05] +[2024-05-26 07:38:06,776] - INFO: Epoch 2335/9999, Iter 233400: Loss = 0.0121096046641469, lr = [2.5e-05] +[2024-05-26 07:38:34,067] - INFO: Epoch 2335/9999, Iter 233440: Loss = 0.010078292340040207, lr = [2.5e-05] +[2024-05-26 07:39:01,260] - INFO: Epoch 2335/9999, Iter 233480: Loss = 0.009359721094369888, lr = [2.5e-05] +[2024-05-26 07:39:14,605] - INFO: Evaluate at epoch 2335! +[2024-05-26 07:39:19,127] - INFO: Eval PSNR (max): 38.204 (2325) SSIM (max): 0.9616 (2265) +[2024-05-26 07:39:19,128] - INFO: Eval PSNR (current): 38.198 (2335) SSIM (current): 0.9616 (2335) +[2024-05-26 07:39:19,128] - INFO: Evaluation over. +[2024-05-26 07:39:39,655] - INFO: Epoch 2336/9999, Iter 233520: Loss = 0.01352579053491354, lr = [2.5e-05] +[2024-05-26 07:40:06,863] - INFO: Epoch 2336/9999, Iter 233560: Loss = 0.011104098521173, lr = [2.5e-05] +[2024-05-26 07:40:35,269] - INFO: Epoch 2337/9999, Iter 233600: Loss = 0.008810772560536861, lr = [2.5e-05] +[2024-05-26 07:41:02,565] - INFO: Epoch 2337/9999, Iter 233640: Loss = 0.019354814663529396, lr = [2.5e-05] +[2024-05-26 07:41:29,774] - INFO: Epoch 2337/9999, Iter 233680: Loss = 0.013280343264341354, lr = [2.5e-05] +[2024-05-26 07:41:58,408] - INFO: Epoch 2338/9999, Iter 233720: Loss = 0.013643458485603333, lr = [2.5e-05] +[2024-05-26 07:42:25,591] - INFO: Epoch 2338/9999, Iter 233760: Loss = 0.014449689537286758, lr = [2.5e-05] +[2024-05-26 07:42:54,125] - INFO: Epoch 2339/9999, Iter 233800: Loss = 0.01961018517613411, lr = [2.5e-05] +[2024-05-26 07:43:21,499] - INFO: Epoch 2339/9999, Iter 233840: Loss = 0.009000302292406559, lr = [2.5e-05] +[2024-05-26 07:43:48,728] - INFO: Epoch 2339/9999, Iter 233880: Loss = 0.007166481576859951, lr = [2.5e-05] +[2024-05-26 07:44:17,482] - INFO: Epoch 2340/9999, Iter 233920: Loss = 0.007213030010461807, lr = [2.5e-05] +[2024-05-26 07:44:44,738] - INFO: Epoch 2340/9999, Iter 233960: Loss = 0.007823007181286812, lr = [2.5e-05] +[2024-05-26 07:45:11,761] - INFO: Evaluate at epoch 2340! +[2024-05-26 07:45:16,483] - INFO: Eval PSNR (max): 38.204 (2325) SSIM (max): 0.9616 (2265) +[2024-05-26 07:45:16,483] - INFO: Eval PSNR (current): 38.194 (2340) SSIM (current): 0.9615 (2340) +[2024-05-26 07:45:16,483] - INFO: Evaluation over. +[2024-05-26 07:45:23,467] - INFO: Epoch 2341/9999, Iter 234000: Loss = 0.009459445253014565, lr = [2.5e-05] +[2024-05-26 07:45:50,784] - INFO: Epoch 2341/9999, Iter 234040: Loss = 0.008866912685334682, lr = [2.5e-05] +[2024-05-26 07:46:17,974] - INFO: Epoch 2341/9999, Iter 234080: Loss = 0.006234949454665184, lr = [2.5e-05] +[2024-05-26 07:46:46,708] - INFO: Epoch 2342/9999, Iter 234120: Loss = 0.016085971146821976, lr = [2.5e-05] +[2024-05-26 07:47:13,934] - INFO: Epoch 2342/9999, Iter 234160: Loss = 0.006544190458953381, lr = [2.5e-05] +[2024-05-26 07:47:42,653] - INFO: Epoch 2343/9999, Iter 234200: Loss = 0.015344108454883099, lr = [2.5e-05] +[2024-05-26 07:48:09,957] - INFO: Epoch 2343/9999, Iter 234240: Loss = 0.016545860096812248, lr = [2.5e-05] +[2024-05-26 07:48:37,177] - INFO: Epoch 2343/9999, Iter 234280: Loss = 0.01265221182256937, lr = [2.5e-05] +[2024-05-26 07:49:06,037] - INFO: Epoch 2344/9999, Iter 234320: Loss = 0.009452290832996368, lr = [2.5e-05] +[2024-05-26 07:49:33,179] - INFO: Epoch 2344/9999, Iter 234360: Loss = 0.015169274061918259, lr = [2.5e-05] +[2024-05-26 07:50:01,805] - INFO: Epoch 2345/9999, Iter 234400: Loss = 0.013781577348709106, lr = [2.5e-05] +[2024-05-26 07:50:29,105] - INFO: Epoch 2345/9999, Iter 234440: Loss = 0.017661798745393753, lr = [2.5e-05] +[2024-05-26 07:50:56,351] - INFO: Epoch 2345/9999, Iter 234480: Loss = 0.014239221811294556, lr = [2.5e-05] +[2024-05-26 07:51:09,665] - INFO: Evaluate at epoch 2345! +[2024-05-26 07:51:25,108] - INFO: Eval PSNR (max): 38.209 (2345) SSIM (max): 0.9616 (2345) +[2024-05-26 07:51:25,109] - INFO: Eval PSNR (current): 38.209 (2345) SSIM (current): 0.9616 (2345) +[2024-05-26 07:51:25,109] - INFO: Evaluation over. +[2024-05-26 07:51:46,066] - INFO: Epoch 2346/9999, Iter 234520: Loss = 0.020667120814323425, lr = [2.5e-05] +[2024-05-26 07:52:13,267] - INFO: Epoch 2346/9999, Iter 234560: Loss = 0.007830934599041939, lr = [2.5e-05] +[2024-05-26 07:52:41,844] - INFO: Epoch 2347/9999, Iter 234600: Loss = 0.008886908181011677, lr = [2.5e-05] +[2024-05-26 07:53:09,215] - INFO: Epoch 2347/9999, Iter 234640: Loss = 0.018163753673434258, lr = [2.5e-05] +[2024-05-26 07:53:36,426] - INFO: Epoch 2347/9999, Iter 234680: Loss = 0.014913450926542282, lr = [2.5e-05] +[2024-05-26 07:54:05,156] - INFO: Epoch 2348/9999, Iter 234720: Loss = 0.0119978291913867, lr = [2.5e-05] +[2024-05-26 07:54:32,386] - INFO: Epoch 2348/9999, Iter 234760: Loss = 0.025369741022586823, lr = [2.5e-05] +[2024-05-26 07:55:01,073] - INFO: Epoch 2349/9999, Iter 234800: Loss = 0.0062333969399333, lr = [2.5e-05] +[2024-05-26 07:55:28,360] - INFO: Epoch 2349/9999, Iter 234840: Loss = 0.01418406330049038, lr = [2.5e-05] +[2024-05-26 07:55:55,584] - INFO: Epoch 2349/9999, Iter 234880: Loss = 0.008842823095619678, lr = [2.5e-05] +[2024-05-26 07:56:24,228] - INFO: Epoch 2350/9999, Iter 234920: Loss = 0.007317039649933577, lr = [2.5e-05] +[2024-05-26 07:56:51,466] - INFO: Epoch 2350/9999, Iter 234960: Loss = 0.01275082677602768, lr = [2.5e-05] +[2024-05-26 07:57:18,383] - INFO: Evaluate at epoch 2350! +[2024-05-26 07:57:23,030] - INFO: Eval PSNR (max): 38.209 (2345) SSIM (max): 0.9616 (2345) +[2024-05-26 07:57:23,030] - INFO: Eval PSNR (current): 38.186 (2350) SSIM (current): 0.9616 (2350) +[2024-05-26 07:57:23,030] - INFO: Evaluation over. +[2024-05-26 07:57:29,877] - INFO: Epoch 2351/9999, Iter 235000: Loss = 0.014231633394956589, lr = [2.5e-05] +[2024-05-26 07:57:57,223] - INFO: Epoch 2351/9999, Iter 235040: Loss = 0.013472335413098335, lr = [2.5e-05] +[2024-05-26 07:58:24,413] - INFO: Epoch 2351/9999, Iter 235080: Loss = 0.0068751368671655655, lr = [2.5e-05] +[2024-05-26 07:58:53,259] - INFO: Epoch 2352/9999, Iter 235120: Loss = 0.008181032724678516, lr = [2.5e-05] +[2024-05-26 07:59:20,417] - INFO: Epoch 2352/9999, Iter 235160: Loss = 0.006219722330570221, lr = [2.5e-05] +[2024-05-26 07:59:48,912] - INFO: Epoch 2353/9999, Iter 235200: Loss = 0.009531008079648018, lr = [2.5e-05] +[2024-05-26 08:00:16,156] - INFO: Epoch 2353/9999, Iter 235240: Loss = 0.011724725365638733, lr = [2.5e-05] +[2024-05-26 08:00:43,424] - INFO: Epoch 2353/9999, Iter 235280: Loss = 0.012939955107867718, lr = [2.5e-05] +[2024-05-26 08:01:12,221] - INFO: Epoch 2354/9999, Iter 235320: Loss = 0.011002199724316597, lr = [2.5e-05] +[2024-05-26 08:01:39,439] - INFO: Epoch 2354/9999, Iter 235360: Loss = 0.007461095228791237, lr = [2.5e-05] +[2024-05-26 08:02:07,927] - INFO: Epoch 2355/9999, Iter 235400: Loss = 0.013061650097370148, lr = [2.5e-05] +[2024-05-26 08:02:35,243] - INFO: Epoch 2355/9999, Iter 235440: Loss = 0.015964437276124954, lr = [2.5e-05] +[2024-05-26 08:03:02,445] - INFO: Epoch 2355/9999, Iter 235480: Loss = 0.014757752418518066, lr = [2.5e-05] +[2024-05-26 08:03:15,747] - INFO: Evaluate at epoch 2355! +[2024-05-26 08:03:20,504] - INFO: Eval PSNR (max): 38.209 (2345) SSIM (max): 0.9616 (2345) +[2024-05-26 08:03:20,505] - INFO: Eval PSNR (current): 38.186 (2355) SSIM (current): 0.9616 (2355) +[2024-05-26 08:03:20,505] - INFO: Evaluation over. +[2024-05-26 08:03:40,906] - INFO: Epoch 2356/9999, Iter 235520: Loss = 0.004874772392213345, lr = [2.5e-05] +[2024-05-26 08:04:08,085] - INFO: Epoch 2356/9999, Iter 235560: Loss = 0.01032273005694151, lr = [2.5e-05] +[2024-05-26 08:04:36,664] - INFO: Epoch 2357/9999, Iter 235600: Loss = 0.018942682072520256, lr = [2.5e-05] +[2024-05-26 08:05:04,024] - INFO: Epoch 2357/9999, Iter 235640: Loss = 0.02235928364098072, lr = [2.5e-05] +[2024-05-26 08:05:31,265] - INFO: Epoch 2357/9999, Iter 235680: Loss = 0.006920208223164082, lr = [2.5e-05] +[2024-05-26 08:05:59,982] - INFO: Epoch 2358/9999, Iter 235720: Loss = 0.005947441328316927, lr = [2.5e-05] +[2024-05-26 08:06:27,254] - INFO: Epoch 2358/9999, Iter 235760: Loss = 0.00888479221612215, lr = [2.5e-05] +[2024-05-26 08:06:55,844] - INFO: Epoch 2359/9999, Iter 235800: Loss = 0.0068356869742274284, lr = [2.5e-05] +[2024-05-26 08:07:23,241] - INFO: Epoch 2359/9999, Iter 235840: Loss = 0.008302897214889526, lr = [2.5e-05] +[2024-05-26 08:07:50,592] - INFO: Epoch 2359/9999, Iter 235880: Loss = 0.009070738218724728, lr = [2.5e-05] +[2024-05-26 08:08:19,203] - INFO: Epoch 2360/9999, Iter 235920: Loss = 0.009495319798588753, lr = [2.5e-05] +[2024-05-26 08:08:46,475] - INFO: Epoch 2360/9999, Iter 235960: Loss = 0.019907141104340553, lr = [2.5e-05] +[2024-05-26 08:09:13,438] - INFO: Evaluate at epoch 2360! +[2024-05-26 08:09:18,102] - INFO: Eval PSNR (max): 38.209 (2345) SSIM (max): 0.9616 (2345) +[2024-05-26 08:09:18,102] - INFO: Eval PSNR (current): 38.193 (2360) SSIM (current): 0.9616 (2360) +[2024-05-26 08:09:18,102] - INFO: Evaluation over. +[2024-05-26 08:09:24,964] - INFO: Epoch 2361/9999, Iter 236000: Loss = 0.013830052688717842, lr = [2.5e-05] +[2024-05-26 08:09:52,238] - INFO: Epoch 2361/9999, Iter 236040: Loss = 0.009043878875672817, lr = [2.5e-05] +[2024-05-26 08:10:19,458] - INFO: Epoch 2361/9999, Iter 236080: Loss = 0.013052631169557571, lr = [2.5e-05] +[2024-05-26 08:10:48,036] - INFO: Epoch 2362/9999, Iter 236120: Loss = 0.00986952893435955, lr = [2.5e-05] +[2024-05-26 08:11:15,250] - INFO: Epoch 2362/9999, Iter 236160: Loss = 0.020006343722343445, lr = [2.5e-05] +[2024-05-26 08:11:43,880] - INFO: Epoch 2363/9999, Iter 236200: Loss = 0.009974848479032516, lr = [2.5e-05] +[2024-05-26 08:12:11,099] - INFO: Epoch 2363/9999, Iter 236240: Loss = 0.018188009038567543, lr = [2.5e-05] +[2024-05-26 08:12:38,301] - INFO: Epoch 2363/9999, Iter 236280: Loss = 0.011866218410432339, lr = [2.5e-05] +[2024-05-26 08:13:06,721] - INFO: Epoch 2364/9999, Iter 236320: Loss = 0.014214575290679932, lr = [2.5e-05] +[2024-05-26 08:13:33,964] - INFO: Epoch 2364/9999, Iter 236360: Loss = 0.017695831134915352, lr = [2.5e-05] +[2024-05-26 08:14:02,545] - INFO: Epoch 2365/9999, Iter 236400: Loss = 0.011519397608935833, lr = [2.5e-05] +[2024-05-26 08:14:29,806] - INFO: Epoch 2365/9999, Iter 236440: Loss = 0.015848252922296524, lr = [2.5e-05] +[2024-05-26 08:14:57,047] - INFO: Epoch 2365/9999, Iter 236480: Loss = 0.013642686419188976, lr = [2.5e-05] +[2024-05-26 08:15:10,397] - INFO: Evaluate at epoch 2365! +[2024-05-26 08:15:20,220] - INFO: Eval PSNR (max): 38.209 (2345) SSIM (max): 0.9616 (2365) +[2024-05-26 08:15:20,220] - INFO: Eval PSNR (current): 38.202 (2365) SSIM (current): 0.9616 (2365) +[2024-05-26 08:15:20,220] - INFO: Evaluation over. +[2024-05-26 08:15:41,003] - INFO: Epoch 2366/9999, Iter 236520: Loss = 0.013271861709654331, lr = [2.5e-05] +[2024-05-26 08:16:08,177] - INFO: Epoch 2366/9999, Iter 236560: Loss = 0.008458264172077179, lr = [2.5e-05] +[2024-05-26 08:16:36,596] - INFO: Epoch 2367/9999, Iter 236600: Loss = 0.010217037983238697, lr = [2.5e-05] +[2024-05-26 08:17:03,878] - INFO: Epoch 2367/9999, Iter 236640: Loss = 0.015117731876671314, lr = [2.5e-05] +[2024-05-26 08:17:31,118] - INFO: Epoch 2367/9999, Iter 236680: Loss = 0.013818864710628986, lr = [2.5e-05] +[2024-05-26 08:18:00,027] - INFO: Epoch 2368/9999, Iter 236720: Loss = 0.008638892322778702, lr = [2.5e-05] +[2024-05-26 08:18:27,238] - INFO: Epoch 2368/9999, Iter 236760: Loss = 0.008937404491007328, lr = [2.5e-05] +[2024-05-26 08:18:55,844] - INFO: Epoch 2369/9999, Iter 236800: Loss = 0.014048552140593529, lr = [2.5e-05] +[2024-05-26 08:19:23,131] - INFO: Epoch 2369/9999, Iter 236840: Loss = 0.0085545489564538, lr = [2.5e-05] +[2024-05-26 08:19:50,378] - INFO: Epoch 2369/9999, Iter 236880: Loss = 0.01942223496735096, lr = [2.5e-05] +[2024-05-26 08:20:18,851] - INFO: Epoch 2370/9999, Iter 236920: Loss = 0.012476572766900063, lr = [2.5e-05] +[2024-05-26 08:20:46,086] - INFO: Epoch 2370/9999, Iter 236960: Loss = 0.012146932072937489, lr = [2.5e-05] +[2024-05-26 08:21:12,998] - INFO: Evaluate at epoch 2370! +[2024-05-26 08:21:17,657] - INFO: Eval PSNR (max): 38.209 (2345) SSIM (max): 0.9616 (2365) +[2024-05-26 08:21:17,657] - INFO: Eval PSNR (current): 38.189 (2370) SSIM (current): 0.9616 (2370) +[2024-05-26 08:21:17,657] - INFO: Evaluation over. +[2024-05-26 08:21:24,325] - INFO: Epoch 2371/9999, Iter 237000: Loss = 0.01614663563668728, lr = [2.5e-05] +[2024-05-26 08:21:51,598] - INFO: Epoch 2371/9999, Iter 237040: Loss = 0.013072935864329338, lr = [2.5e-05] +[2024-05-26 08:22:18,845] - INFO: Epoch 2371/9999, Iter 237080: Loss = 0.01019131951034069, lr = [2.5e-05] +[2024-05-26 08:22:47,889] - INFO: Epoch 2372/9999, Iter 237120: Loss = 0.007690125145018101, lr = [2.5e-05] +[2024-05-26 08:23:15,159] - INFO: Epoch 2372/9999, Iter 237160: Loss = 0.010570622980594635, lr = [2.5e-05] +[2024-05-26 08:23:43,756] - INFO: Epoch 2373/9999, Iter 237200: Loss = 0.013895737007260323, lr = [2.5e-05] +[2024-05-26 08:24:11,047] - INFO: Epoch 2373/9999, Iter 237240: Loss = 0.008954633958637714, lr = [2.5e-05] +[2024-05-26 08:24:38,243] - INFO: Epoch 2373/9999, Iter 237280: Loss = 0.009505050256848335, lr = [2.5e-05] +[2024-05-26 08:25:06,849] - INFO: Epoch 2374/9999, Iter 237320: Loss = 0.015748674049973488, lr = [2.5e-05] +[2024-05-26 08:25:34,033] - INFO: Epoch 2374/9999, Iter 237360: Loss = 0.013269574381411076, lr = [2.5e-05] +[2024-05-26 08:26:02,741] - INFO: Epoch 2375/9999, Iter 237400: Loss = 0.006356177385896444, lr = [2.5e-05] +[2024-05-26 08:26:30,027] - INFO: Epoch 2375/9999, Iter 237440: Loss = 0.02513549104332924, lr = [2.5e-05] +[2024-05-26 08:26:57,207] - INFO: Epoch 2375/9999, Iter 237480: Loss = 0.013076091185212135, lr = [2.5e-05] +[2024-05-26 08:27:10,510] - INFO: Evaluate at epoch 2375! +[2024-05-26 08:27:20,460] - INFO: Eval PSNR (max): 38.220 (2375) SSIM (max): 0.9616 (2365) +[2024-05-26 08:27:20,460] - INFO: Eval PSNR (current): 38.220 (2375) SSIM (current): 0.9616 (2375) +[2024-05-26 08:27:20,460] - INFO: Evaluation over. +[2024-05-26 08:27:40,935] - INFO: Epoch 2376/9999, Iter 237520: Loss = 0.009633423760533333, lr = [2.5e-05] +[2024-05-26 08:28:08,215] - INFO: Epoch 2376/9999, Iter 237560: Loss = 0.011463845148682594, lr = [2.5e-05] +[2024-05-26 08:28:36,849] - INFO: Epoch 2377/9999, Iter 237600: Loss = 0.011110920459032059, lr = [2.5e-05] +[2024-05-26 08:29:04,179] - INFO: Epoch 2377/9999, Iter 237640: Loss = 0.009027218446135521, lr = [2.5e-05] +[2024-05-26 08:29:31,436] - INFO: Epoch 2377/9999, Iter 237680: Loss = 0.013341378420591354, lr = [2.5e-05] +[2024-05-26 08:30:00,253] - INFO: Epoch 2378/9999, Iter 237720: Loss = 0.009968433529138565, lr = [2.5e-05] +[2024-05-26 08:30:27,451] - INFO: Epoch 2378/9999, Iter 237760: Loss = 0.012431632727384567, lr = [2.5e-05] +[2024-05-26 08:30:56,180] - INFO: Epoch 2379/9999, Iter 237800: Loss = 0.009686443954706192, lr = [2.5e-05] +[2024-05-26 08:31:23,522] - INFO: Epoch 2379/9999, Iter 237840: Loss = 0.01213579811155796, lr = [2.5e-05] +[2024-05-26 08:31:50,696] - INFO: Epoch 2379/9999, Iter 237880: Loss = 0.014775442890822887, lr = [2.5e-05] +[2024-05-26 08:32:19,414] - INFO: Epoch 2380/9999, Iter 237920: Loss = 0.008885092101991177, lr = [2.5e-05] +[2024-05-26 08:32:46,691] - INFO: Epoch 2380/9999, Iter 237960: Loss = 0.009864331223070621, lr = [2.5e-05] +[2024-05-26 08:33:13,604] - INFO: Evaluate at epoch 2380! +[2024-05-26 08:33:18,458] - INFO: Eval PSNR (max): 38.220 (2375) SSIM (max): 0.9616 (2365) +[2024-05-26 08:33:18,458] - INFO: Eval PSNR (current): 38.198 (2380) SSIM (current): 0.9616 (2380) +[2024-05-26 08:33:18,458] - INFO: Evaluation over. +[2024-05-26 08:33:25,282] - INFO: Epoch 2381/9999, Iter 238000: Loss = 0.013439313508570194, lr = [2.5e-05] +[2024-05-26 08:33:52,716] - INFO: Epoch 2381/9999, Iter 238040: Loss = 0.012557919137179852, lr = [2.5e-05] +[2024-05-26 08:34:19,936] - INFO: Epoch 2381/9999, Iter 238080: Loss = 0.010865844786167145, lr = [2.5e-05] +[2024-05-26 08:34:48,866] - INFO: Epoch 2382/9999, Iter 238120: Loss = 0.019578488543629646, lr = [2.5e-05] +[2024-05-26 08:35:16,041] - INFO: Epoch 2382/9999, Iter 238160: Loss = 0.013072356581687927, lr = [2.5e-05] +[2024-05-26 08:35:44,566] - INFO: Epoch 2383/9999, Iter 238200: Loss = 0.008571038022637367, lr = [2.5e-05] +[2024-05-26 08:36:11,887] - INFO: Epoch 2383/9999, Iter 238240: Loss = 0.004423194564878941, lr = [2.5e-05] +[2024-05-26 08:36:39,072] - INFO: Epoch 2383/9999, Iter 238280: Loss = 0.009383155032992363, lr = [2.5e-05] +[2024-05-26 08:37:07,990] - INFO: Epoch 2384/9999, Iter 238320: Loss = 0.007118081673979759, lr = [2.5e-05] +[2024-05-26 08:37:35,220] - INFO: Epoch 2384/9999, Iter 238360: Loss = 0.01455326471477747, lr = [2.5e-05] +[2024-05-26 08:38:03,816] - INFO: Epoch 2385/9999, Iter 238400: Loss = 0.01653211936354637, lr = [2.5e-05] +[2024-05-26 08:38:31,057] - INFO: Epoch 2385/9999, Iter 238440: Loss = 0.010331396944820881, lr = [2.5e-05] +[2024-05-26 08:38:58,278] - INFO: Epoch 2385/9999, Iter 238480: Loss = 0.01828455924987793, lr = [2.5e-05] +[2024-05-26 08:39:11,567] - INFO: Evaluate at epoch 2385! +[2024-05-26 08:39:16,252] - INFO: Eval PSNR (max): 38.220 (2375) SSIM (max): 0.9616 (2365) +[2024-05-26 08:39:16,252] - INFO: Eval PSNR (current): 38.167 (2385) SSIM (current): 0.9615 (2385) +[2024-05-26 08:39:16,252] - INFO: Evaluation over. +[2024-05-26 08:39:36,750] - INFO: Epoch 2386/9999, Iter 238520: Loss = 0.01948932744562626, lr = [2.5e-05] +[2024-05-26 08:40:03,985] - INFO: Epoch 2386/9999, Iter 238560: Loss = 0.00658620847389102, lr = [2.5e-05] +[2024-05-26 08:40:32,429] - INFO: Epoch 2387/9999, Iter 238600: Loss = 0.013528453186154366, lr = [2.5e-05] +[2024-05-26 08:40:59,782] - INFO: Epoch 2387/9999, Iter 238640: Loss = 0.010076434351503849, lr = [2.5e-05] +[2024-05-26 08:41:27,057] - INFO: Epoch 2387/9999, Iter 238680: Loss = 0.011798953637480736, lr = [2.5e-05] +[2024-05-26 08:41:55,721] - INFO: Epoch 2388/9999, Iter 238720: Loss = 0.0107202660292387, lr = [2.5e-05] +[2024-05-26 08:42:22,970] - INFO: Epoch 2388/9999, Iter 238760: Loss = 0.010095583274960518, lr = [2.5e-05] +[2024-05-26 08:42:51,357] - INFO: Epoch 2389/9999, Iter 238800: Loss = 0.012104824185371399, lr = [2.5e-05] +[2024-05-26 08:43:18,667] - INFO: Epoch 2389/9999, Iter 238840: Loss = 0.005754887126386166, lr = [2.5e-05] +[2024-05-26 08:43:45,866] - INFO: Epoch 2389/9999, Iter 238880: Loss = 0.009359774179756641, lr = [2.5e-05] +[2024-05-26 08:44:14,518] - INFO: Epoch 2390/9999, Iter 238920: Loss = 0.013501608744263649, lr = [2.5e-05] +[2024-05-26 08:44:41,806] - INFO: Epoch 2390/9999, Iter 238960: Loss = 0.011148051358759403, lr = [2.5e-05] +[2024-05-26 08:45:08,703] - INFO: Evaluate at epoch 2390! +[2024-05-26 08:45:13,431] - INFO: Eval PSNR (max): 38.220 (2375) SSIM (max): 0.9616 (2365) +[2024-05-26 08:45:13,431] - INFO: Eval PSNR (current): 38.151 (2390) SSIM (current): 0.9615 (2390) +[2024-05-26 08:45:13,431] - INFO: Evaluation over. +[2024-05-26 08:45:19,992] - INFO: Epoch 2391/9999, Iter 239000: Loss = 0.012825584039092064, lr = [2.5e-05] +[2024-05-26 08:45:47,299] - INFO: Epoch 2391/9999, Iter 239040: Loss = 0.009603857062757015, lr = [2.5e-05] +[2024-05-26 08:46:14,488] - INFO: Epoch 2391/9999, Iter 239080: Loss = 0.011087588034570217, lr = [2.5e-05] +[2024-05-26 08:46:43,014] - INFO: Epoch 2392/9999, Iter 239120: Loss = 0.013736359775066376, lr = [2.5e-05] +[2024-05-26 08:47:10,252] - INFO: Epoch 2392/9999, Iter 239160: Loss = 0.004879754967987537, lr = [2.5e-05] +[2024-05-26 08:47:38,785] - INFO: Epoch 2393/9999, Iter 239200: Loss = 0.012623593211174011, lr = [2.5e-05] +[2024-05-26 08:48:06,102] - INFO: Epoch 2393/9999, Iter 239240: Loss = 0.015304161235690117, lr = [2.5e-05] +[2024-05-26 08:48:33,286] - INFO: Epoch 2393/9999, Iter 239280: Loss = 0.014116079546511173, lr = [2.5e-05] +[2024-05-26 08:49:02,023] - INFO: Epoch 2394/9999, Iter 239320: Loss = 0.011139819398522377, lr = [2.5e-05] +[2024-05-26 08:49:29,258] - INFO: Epoch 2394/9999, Iter 239360: Loss = 0.013638200238347054, lr = [2.5e-05] +[2024-05-26 08:49:57,930] - INFO: Epoch 2395/9999, Iter 239400: Loss = 0.022125115618109703, lr = [2.5e-05] +[2024-05-26 08:50:25,327] - INFO: Epoch 2395/9999, Iter 239440: Loss = 0.01246234867721796, lr = [2.5e-05] +[2024-05-26 08:50:52,564] - INFO: Epoch 2395/9999, Iter 239480: Loss = 0.010650288313627243, lr = [2.5e-05] +[2024-05-26 08:51:05,856] - INFO: Evaluate at epoch 2395! +[2024-05-26 08:51:10,482] - INFO: Eval PSNR (max): 38.220 (2375) SSIM (max): 0.9616 (2365) +[2024-05-26 08:51:10,482] - INFO: Eval PSNR (current): 38.176 (2395) SSIM (current): 0.9614 (2395) +[2024-05-26 08:51:10,482] - INFO: Evaluation over. +[2024-05-26 08:51:31,084] - INFO: Epoch 2396/9999, Iter 239520: Loss = 0.009803295135498047, lr = [2.5e-05] +[2024-05-26 08:51:58,363] - INFO: Epoch 2396/9999, Iter 239560: Loss = 0.006973556242883205, lr = [2.5e-05] +[2024-05-26 08:52:26,979] - INFO: Epoch 2397/9999, Iter 239600: Loss = 0.010279307141900063, lr = [2.5e-05] +[2024-05-26 08:52:54,275] - INFO: Epoch 2397/9999, Iter 239640: Loss = 0.015442276373505592, lr = [2.5e-05] +[2024-05-26 08:53:21,507] - INFO: Epoch 2397/9999, Iter 239680: Loss = 0.008092928677797318, lr = [2.5e-05] +[2024-05-26 08:53:50,285] - INFO: Epoch 2398/9999, Iter 239720: Loss = 0.009017306379973888, lr = [2.5e-05] +[2024-05-26 08:54:17,554] - INFO: Epoch 2398/9999, Iter 239760: Loss = 0.007340708747506142, lr = [2.5e-05] +[2024-05-26 08:54:46,310] - INFO: Epoch 2399/9999, Iter 239800: Loss = 0.006363087799400091, lr = [2.5e-05] +[2024-05-26 08:55:13,606] - INFO: Epoch 2399/9999, Iter 239840: Loss = 0.019456414505839348, lr = [2.5e-05] +[2024-05-26 08:55:40,807] - INFO: Epoch 2399/9999, Iter 239880: Loss = 0.012780772522091866, lr = [2.5e-05] +[2024-05-26 08:56:09,510] - INFO: Epoch 2400/9999, Iter 239920: Loss = 0.014672130346298218, lr = [2.5e-05] +[2024-05-26 08:56:36,771] - INFO: Epoch 2400/9999, Iter 239960: Loss = 0.014877849258482456, lr = [2.5e-05] +[2024-05-26 08:57:03,633] - INFO: Evaluate at epoch 2400! +[2024-05-26 08:57:08,379] - INFO: Eval PSNR (max): 38.220 (2375) SSIM (max): 0.9616 (2365) +[2024-05-26 08:57:08,380] - INFO: Eval PSNR (current): 38.156 (2400) SSIM (current): 0.9615 (2400) +[2024-05-26 08:57:08,380] - INFO: Evaluation over. +[2024-05-26 08:57:15,050] - INFO: Epoch 2401/9999, Iter 240000: Loss = 0.017278576269745827, lr = [2.5e-05] +[2024-05-26 08:57:42,461] - INFO: Epoch 2401/9999, Iter 240040: Loss = 0.011695623397827148, lr = [2.5e-05] +[2024-05-26 08:58:09,743] - INFO: Epoch 2401/9999, Iter 240080: Loss = 0.02147061564028263, lr = [2.5e-05] +[2024-05-26 08:58:38,379] - INFO: Epoch 2402/9999, Iter 240120: Loss = 0.010662215761840343, lr = [2.5e-05] +[2024-05-26 08:59:05,593] - INFO: Epoch 2402/9999, Iter 240160: Loss = 0.017093311995267868, lr = [2.5e-05] +[2024-05-26 08:59:34,223] - INFO: Epoch 2403/9999, Iter 240200: Loss = 0.014317549765110016, lr = [2.5e-05] +[2024-05-26 09:00:01,617] - INFO: Epoch 2403/9999, Iter 240240: Loss = 0.023909110575914383, lr = [2.5e-05] +[2024-05-26 09:00:28,753] - INFO: Epoch 2403/9999, Iter 240280: Loss = 0.013377671130001545, lr = [2.5e-05] +[2024-05-26 09:00:57,648] - INFO: Epoch 2404/9999, Iter 240320: Loss = 0.009876399300992489, lr = [2.5e-05] +[2024-05-26 09:01:24,867] - INFO: Epoch 2404/9999, Iter 240360: Loss = 0.0074714599177241325, lr = [2.5e-05] +[2024-05-26 09:02:00,622] - INFO: Epoch 2405/9999, Iter 240400: Loss = 0.01477577444165945, lr = [2.5e-05] +[2024-05-26 09:02:28,835] - INFO: Epoch 2405/9999, Iter 240440: Loss = 0.014995268546044827, lr = [2.5e-05] +[2024-05-26 09:02:56,114] - INFO: Epoch 2405/9999, Iter 240480: Loss = 0.01071508415043354, lr = [2.5e-05] +[2024-05-26 09:03:10,906] - INFO: Evaluate at epoch 2405! +[2024-05-26 09:03:17,603] - INFO: Eval PSNR (max): 38.220 (2375) SSIM (max): 0.9616 (2365) +[2024-05-26 09:03:17,604] - INFO: Eval PSNR (current): 38.178 (2405) SSIM (current): 0.9615 (2405) +[2024-05-26 09:03:17,604] - INFO: Evaluation over. +[2024-05-26 09:03:38,175] - INFO: Epoch 2406/9999, Iter 240520: Loss = 0.027630183845758438, lr = [2.5e-05] +[2024-05-26 09:04:06,427] - INFO: Epoch 2406/9999, Iter 240560: Loss = 0.018262088298797607, lr = [2.5e-05] +[2024-05-26 09:04:35,263] - INFO: Epoch 2407/9999, Iter 240600: Loss = 0.02143331617116928, lr = [2.5e-05] +[2024-05-26 09:05:02,835] - INFO: Epoch 2407/9999, Iter 240640: Loss = 0.006200293079018593, lr = [2.5e-05] +[2024-05-26 09:05:30,183] - INFO: Epoch 2407/9999, Iter 240680: Loss = 0.011358101852238178, lr = [2.5e-05] +[2024-05-26 09:06:01,486] - INFO: Epoch 2408/9999, Iter 240720: Loss = 0.008728774264454842, lr = [2.5e-05] +[2024-05-26 09:06:28,774] - INFO: Epoch 2408/9999, Iter 240760: Loss = 0.005059157498180866, lr = [2.5e-05] +[2024-05-26 09:06:59,293] - INFO: Epoch 2409/9999, Iter 240800: Loss = 0.006849680095911026, lr = [2.5e-05] +[2024-05-26 09:07:26,627] - INFO: Epoch 2409/9999, Iter 240840: Loss = 0.006002326961606741, lr = [2.5e-05] +[2024-05-26 09:07:54,744] - INFO: Epoch 2409/9999, Iter 240880: Loss = 0.009243316948413849, lr = [2.5e-05] +[2024-05-26 09:08:23,475] - INFO: Epoch 2410/9999, Iter 240920: Loss = 0.020626911893486977, lr = [2.5e-05] +[2024-05-26 09:08:50,771] - INFO: Epoch 2410/9999, Iter 240960: Loss = 0.013386238366365433, lr = [2.5e-05] +[2024-05-26 09:09:17,674] - INFO: Evaluate at epoch 2410! +[2024-05-26 09:09:22,251] - INFO: Eval PSNR (max): 38.220 (2375) SSIM (max): 0.9616 (2365) +[2024-05-26 09:09:22,251] - INFO: Eval PSNR (current): 38.193 (2410) SSIM (current): 0.9615 (2410) +[2024-05-26 09:09:22,252] - INFO: Evaluation over. +[2024-05-26 09:09:29,317] - INFO: Epoch 2411/9999, Iter 241000: Loss = 0.015395142138004303, lr = [2.5e-05] +[2024-05-26 09:09:56,685] - INFO: Epoch 2411/9999, Iter 241040: Loss = 0.015589374117553234, lr = [2.5e-05] +[2024-05-26 09:10:23,945] - INFO: Epoch 2411/9999, Iter 241080: Loss = 0.008677304722368717, lr = [2.5e-05] +[2024-05-26 09:10:52,634] - INFO: Epoch 2412/9999, Iter 241120: Loss = 0.017579659819602966, lr = [2.5e-05] +[2024-05-26 09:11:19,868] - INFO: Epoch 2412/9999, Iter 241160: Loss = 0.010171561501920223, lr = [2.5e-05] +[2024-05-26 09:11:48,660] - INFO: Epoch 2413/9999, Iter 241200: Loss = 0.02865021862089634, lr = [2.5e-05] +[2024-05-26 09:12:16,040] - INFO: Epoch 2413/9999, Iter 241240: Loss = 0.013080960139632225, lr = [2.5e-05] +[2024-05-26 09:12:43,254] - INFO: Epoch 2413/9999, Iter 241280: Loss = 0.010190482251346111, lr = [2.5e-05] +[2024-05-26 09:13:12,027] - INFO: Epoch 2414/9999, Iter 241320: Loss = 0.021731093525886536, lr = [2.5e-05] +[2024-05-26 09:13:39,241] - INFO: Epoch 2414/9999, Iter 241360: Loss = 0.009555486962199211, lr = [2.5e-05] +[2024-05-26 09:14:07,693] - INFO: Epoch 2415/9999, Iter 241400: Loss = 0.015023992396891117, lr = [2.5e-05] +[2024-05-26 09:14:35,017] - INFO: Epoch 2415/9999, Iter 241440: Loss = 0.010515374131500721, lr = [2.5e-05] +[2024-05-26 09:15:02,215] - INFO: Epoch 2415/9999, Iter 241480: Loss = 0.017356256023049355, lr = [2.5e-05] +[2024-05-26 09:15:15,521] - INFO: Evaluate at epoch 2415! +[2024-05-26 09:15:20,286] - INFO: Eval PSNR (max): 38.220 (2375) SSIM (max): 0.9616 (2365) +[2024-05-26 09:15:20,286] - INFO: Eval PSNR (current): 38.195 (2415) SSIM (current): 0.9615 (2415) +[2024-05-26 09:15:20,286] - INFO: Evaluation over. +[2024-05-26 09:15:40,841] - INFO: Epoch 2416/9999, Iter 241520: Loss = 0.012023954652249813, lr = [2.5e-05] +[2024-05-26 09:16:08,054] - INFO: Epoch 2416/9999, Iter 241560: Loss = 0.014737208373844624, lr = [2.5e-05] +[2024-05-26 09:16:36,472] - INFO: Epoch 2417/9999, Iter 241600: Loss = 0.012913917191326618, lr = [2.5e-05] +[2024-05-26 09:17:03,768] - INFO: Epoch 2417/9999, Iter 241640: Loss = 0.014572979882359505, lr = [2.5e-05] +[2024-05-26 09:17:31,030] - INFO: Epoch 2417/9999, Iter 241680: Loss = 0.01436564140021801, lr = [2.5e-05] +[2024-05-26 09:17:59,643] - INFO: Epoch 2418/9999, Iter 241720: Loss = 0.011708181351423264, lr = [2.5e-05] +[2024-05-26 09:18:26,890] - INFO: Epoch 2418/9999, Iter 241760: Loss = 0.013284650631248951, lr = [2.5e-05] +[2024-05-26 09:18:55,237] - INFO: Epoch 2419/9999, Iter 241800: Loss = 0.013025062158703804, lr = [2.5e-05] +[2024-05-26 09:19:22,539] - INFO: Epoch 2419/9999, Iter 241840: Loss = 0.012471395544707775, lr = [2.5e-05] +[2024-05-26 09:19:49,767] - INFO: Epoch 2419/9999, Iter 241880: Loss = 0.01008873712271452, lr = [2.5e-05] +[2024-05-26 09:20:18,435] - INFO: Epoch 2420/9999, Iter 241920: Loss = 0.020801667124032974, lr = [2.5e-05] +[2024-05-26 09:20:45,767] - INFO: Epoch 2420/9999, Iter 241960: Loss = 0.010882081463932991, lr = [2.5e-05] +[2024-05-26 09:21:12,689] - INFO: Evaluate at epoch 2420! +[2024-05-26 09:21:17,389] - INFO: Eval PSNR (max): 38.220 (2375) SSIM (max): 0.9616 (2365) +[2024-05-26 09:21:17,389] - INFO: Eval PSNR (current): 38.133 (2420) SSIM (current): 0.9615 (2420) +[2024-05-26 09:21:17,389] - INFO: Evaluation over. +[2024-05-26 09:21:24,347] - INFO: Epoch 2421/9999, Iter 242000: Loss = 0.017369529232382774, lr = [2.5e-05] +[2024-05-26 09:21:51,611] - INFO: Epoch 2421/9999, Iter 242040: Loss = 0.012246540747582912, lr = [2.5e-05] +[2024-05-26 09:22:18,836] - INFO: Epoch 2421/9999, Iter 242080: Loss = 0.011696581728756428, lr = [2.5e-05] +[2024-05-26 09:22:47,599] - INFO: Epoch 2422/9999, Iter 242120: Loss = 0.006734156049787998, lr = [2.5e-05] +[2024-05-26 09:23:14,799] - INFO: Epoch 2422/9999, Iter 242160: Loss = 0.009627802297472954, lr = [2.5e-05] +[2024-05-26 09:23:43,303] - INFO: Epoch 2423/9999, Iter 242200: Loss = 0.010394812561571598, lr = [2.5e-05] +[2024-05-26 09:24:10,625] - INFO: Epoch 2423/9999, Iter 242240: Loss = 0.02179506979882717, lr = [2.5e-05] +[2024-05-26 09:24:37,824] - INFO: Epoch 2423/9999, Iter 242280: Loss = 0.017788434401154518, lr = [2.5e-05] +[2024-05-26 09:25:06,562] - INFO: Epoch 2424/9999, Iter 242320: Loss = 0.012249485589563847, lr = [2.5e-05] +[2024-05-26 09:25:33,863] - INFO: Epoch 2424/9999, Iter 242360: Loss = 0.010958613827824593, lr = [2.5e-05] +[2024-05-26 09:26:02,254] - INFO: Epoch 2425/9999, Iter 242400: Loss = 0.018358483910560608, lr = [2.5e-05] +[2024-05-26 09:26:29,537] - INFO: Epoch 2425/9999, Iter 242440: Loss = 0.011409091763198376, lr = [2.5e-05] +[2024-05-26 09:26:56,779] - INFO: Epoch 2425/9999, Iter 242480: Loss = 0.018014557659626007, lr = [2.5e-05] +[2024-05-26 09:27:10,094] - INFO: Evaluate at epoch 2425! +[2024-05-26 09:27:14,675] - INFO: Eval PSNR (max): 38.220 (2375) SSIM (max): 0.9616 (2365) +[2024-05-26 09:27:14,675] - INFO: Eval PSNR (current): 38.191 (2425) SSIM (current): 0.9616 (2425) +[2024-05-26 09:27:14,675] - INFO: Evaluation over. +[2024-05-26 09:27:35,131] - INFO: Epoch 2426/9999, Iter 242520: Loss = 0.01896977797150612, lr = [2.5e-05] +[2024-05-26 09:28:02,388] - INFO: Epoch 2426/9999, Iter 242560: Loss = 0.008349636569619179, lr = [2.5e-05] +[2024-05-26 09:28:30,955] - INFO: Epoch 2427/9999, Iter 242600: Loss = 0.023664161562919617, lr = [2.5e-05] +[2024-05-26 09:28:58,267] - INFO: Epoch 2427/9999, Iter 242640: Loss = 0.007908967323601246, lr = [2.5e-05] +[2024-05-26 09:29:25,473] - INFO: Epoch 2427/9999, Iter 242680: Loss = 0.00820542499423027, lr = [2.5e-05] +[2024-05-26 09:29:54,230] - INFO: Epoch 2428/9999, Iter 242720: Loss = 0.009943853132426739, lr = [2.5e-05] +[2024-05-26 09:30:21,455] - INFO: Epoch 2428/9999, Iter 242760: Loss = 0.010973207652568817, lr = [2.5e-05] +[2024-05-26 09:30:50,174] - INFO: Epoch 2429/9999, Iter 242800: Loss = 0.01847565919160843, lr = [2.5e-05] +[2024-05-26 09:31:17,436] - INFO: Epoch 2429/9999, Iter 242840: Loss = 0.02060030959546566, lr = [2.5e-05] +[2024-05-26 09:31:44,634] - INFO: Epoch 2429/9999, Iter 242880: Loss = 0.011887092143297195, lr = [2.5e-05] +[2024-05-26 09:32:13,349] - INFO: Epoch 2430/9999, Iter 242920: Loss = 0.011803348548710346, lr = [2.5e-05] +[2024-05-26 09:32:40,700] - INFO: Epoch 2430/9999, Iter 242960: Loss = 0.01379944197833538, lr = [2.5e-05] +[2024-05-26 09:33:07,609] - INFO: Evaluate at epoch 2430! +[2024-05-26 09:33:12,238] - INFO: Eval PSNR (max): 38.220 (2375) SSIM (max): 0.9616 (2365) +[2024-05-26 09:33:12,238] - INFO: Eval PSNR (current): 38.172 (2430) SSIM (current): 0.9616 (2430) +[2024-05-26 09:33:12,238] - INFO: Evaluation over. +[2024-05-26 09:33:18,948] - INFO: Epoch 2431/9999, Iter 243000: Loss = 0.016864364966750145, lr = [2.5e-05] +[2024-05-26 09:33:46,225] - INFO: Epoch 2431/9999, Iter 243040: Loss = 0.013837549835443497, lr = [2.5e-05] +[2024-05-26 09:34:13,519] - INFO: Epoch 2431/9999, Iter 243080: Loss = 0.011473143473267555, lr = [2.5e-05] +[2024-05-26 09:34:42,181] - INFO: Epoch 2432/9999, Iter 243120: Loss = 0.008873868733644485, lr = [2.5e-05] +[2024-05-26 09:35:09,378] - INFO: Epoch 2432/9999, Iter 243160: Loss = 0.00603047339245677, lr = [2.5e-05] +[2024-05-26 09:35:37,867] - INFO: Epoch 2433/9999, Iter 243200: Loss = 0.005971488077193499, lr = [2.5e-05] +[2024-05-26 09:36:05,105] - INFO: Epoch 2433/9999, Iter 243240: Loss = 0.011151356622576714, lr = [2.5e-05] +[2024-05-26 09:36:32,337] - INFO: Epoch 2433/9999, Iter 243280: Loss = 0.0099439462646842, lr = [2.5e-05] +[2024-05-26 09:37:00,834] - INFO: Epoch 2434/9999, Iter 243320: Loss = 0.0101160341873765, lr = [2.5e-05] +[2024-05-26 09:37:28,037] - INFO: Epoch 2434/9999, Iter 243360: Loss = 0.014673696830868721, lr = [2.5e-05] +[2024-05-26 09:37:56,655] - INFO: Epoch 2435/9999, Iter 243400: Loss = 0.009089915081858635, lr = [2.5e-05] +[2024-05-26 09:38:23,961] - INFO: Epoch 2435/9999, Iter 243440: Loss = 0.007831979542970657, lr = [2.5e-05] +[2024-05-26 09:38:51,177] - INFO: Epoch 2435/9999, Iter 243480: Loss = 0.012832583859562874, lr = [2.5e-05] +[2024-05-26 09:39:04,474] - INFO: Evaluate at epoch 2435! +[2024-05-26 09:39:14,517] - INFO: Eval PSNR (max): 38.220 (2375) SSIM (max): 0.9616 (2435) +[2024-05-26 09:39:14,517] - INFO: Eval PSNR (current): 38.208 (2435) SSIM (current): 0.9616 (2435) +[2024-05-26 09:39:14,518] - INFO: Evaluation over. +[2024-05-26 09:39:35,060] - INFO: Epoch 2436/9999, Iter 243520: Loss = 0.01639600656926632, lr = [2.5e-05] +[2024-05-26 09:40:02,256] - INFO: Epoch 2436/9999, Iter 243560: Loss = 0.013095195405185223, lr = [2.5e-05] +[2024-05-26 09:40:31,007] - INFO: Epoch 2437/9999, Iter 243600: Loss = 0.015003054402768612, lr = [2.5e-05] +[2024-05-26 09:40:58,304] - INFO: Epoch 2437/9999, Iter 243640: Loss = 0.008800970390439034, lr = [2.5e-05] +[2024-05-26 09:41:25,530] - INFO: Epoch 2437/9999, Iter 243680: Loss = 0.010730717331171036, lr = [2.5e-05] +[2024-05-26 09:41:54,103] - INFO: Epoch 2438/9999, Iter 243720: Loss = 0.015040497295558453, lr = [2.5e-05] +[2024-05-26 09:42:21,338] - INFO: Epoch 2438/9999, Iter 243760: Loss = 0.014008795842528343, lr = [2.5e-05] +[2024-05-26 09:42:49,876] - INFO: Epoch 2439/9999, Iter 243800: Loss = 0.00830461923032999, lr = [2.5e-05] +[2024-05-26 09:43:17,135] - INFO: Epoch 2439/9999, Iter 243840: Loss = 0.011911392211914062, lr = [2.5e-05] +[2024-05-26 09:43:44,321] - INFO: Epoch 2439/9999, Iter 243880: Loss = 0.01190551370382309, lr = [2.5e-05] +[2024-05-26 09:44:12,965] - INFO: Epoch 2440/9999, Iter 243920: Loss = 0.009877963922917843, lr = [2.5e-05] +[2024-05-26 09:44:40,139] - INFO: Epoch 2440/9999, Iter 243960: Loss = 0.007065013516694307, lr = [2.5e-05] +[2024-05-26 09:45:07,031] - INFO: Evaluate at epoch 2440! +[2024-05-26 09:45:11,923] - INFO: Eval PSNR (max): 38.220 (2375) SSIM (max): 0.9616 (2435) +[2024-05-26 09:45:11,923] - INFO: Eval PSNR (current): 38.180 (2440) SSIM (current): 0.9615 (2440) +[2024-05-26 09:45:11,923] - INFO: Evaluation over. +[2024-05-26 09:45:19,122] - INFO: Epoch 2441/9999, Iter 244000: Loss = 0.01662762463092804, lr = [2.5e-05] +[2024-05-26 09:45:46,459] - INFO: Epoch 2441/9999, Iter 244040: Loss = 0.015388761647045612, lr = [2.5e-05] +[2024-05-26 09:46:13,742] - INFO: Epoch 2441/9999, Iter 244080: Loss = 0.014267868362367153, lr = [2.5e-05] +[2024-05-26 09:46:42,333] - INFO: Epoch 2442/9999, Iter 244120: Loss = 0.006658559199422598, lr = [2.5e-05] +[2024-05-26 09:47:09,589] - INFO: Epoch 2442/9999, Iter 244160: Loss = 0.014717672020196915, lr = [2.5e-05] +[2024-05-26 09:47:37,952] - INFO: Epoch 2443/9999, Iter 244200: Loss = 0.018779927864670753, lr = [2.5e-05] +[2024-05-26 09:48:05,239] - INFO: Epoch 2443/9999, Iter 244240: Loss = 0.014137792401015759, lr = [2.5e-05] +[2024-05-26 09:48:32,533] - INFO: Epoch 2443/9999, Iter 244280: Loss = 0.01268662977963686, lr = [2.5e-05] +[2024-05-26 09:49:01,446] - INFO: Epoch 2444/9999, Iter 244320: Loss = 0.00451644929125905, lr = [2.5e-05] +[2024-05-26 09:49:28,617] - INFO: Epoch 2444/9999, Iter 244360: Loss = 0.012360398657619953, lr = [2.5e-05] +[2024-05-26 09:49:57,533] - INFO: Epoch 2445/9999, Iter 244400: Loss = 0.012779484502971172, lr = [2.5e-05] +[2024-05-26 09:50:24,874] - INFO: Epoch 2445/9999, Iter 244440: Loss = 0.011047814972698689, lr = [2.5e-05] +[2024-05-26 09:50:52,027] - INFO: Epoch 2445/9999, Iter 244480: Loss = 0.011870951391756535, lr = [2.5e-05] +[2024-05-26 09:51:05,325] - INFO: Evaluate at epoch 2445! +[2024-05-26 09:51:10,106] - INFO: Eval PSNR (max): 38.220 (2375) SSIM (max): 0.9616 (2435) +[2024-05-26 09:51:10,106] - INFO: Eval PSNR (current): 38.179 (2445) SSIM (current): 0.9615 (2445) +[2024-05-26 09:51:10,106] - INFO: Evaluation over. +[2024-05-26 09:51:32,439] - INFO: Epoch 2446/9999, Iter 244520: Loss = 0.006281121168285608, lr = [2.5e-05] +[2024-05-26 09:51:59,747] - INFO: Epoch 2446/9999, Iter 244560: Loss = 0.008689912036061287, lr = [2.5e-05] +[2024-05-26 09:52:28,484] - INFO: Epoch 2447/9999, Iter 244600: Loss = 0.014192539267241955, lr = [2.5e-05] +[2024-05-26 09:52:55,761] - INFO: Epoch 2447/9999, Iter 244640: Loss = 0.015400581993162632, lr = [2.5e-05] +[2024-05-26 09:53:23,018] - INFO: Epoch 2447/9999, Iter 244680: Loss = 0.010677654296159744, lr = [2.5e-05] +[2024-05-26 09:53:51,651] - INFO: Epoch 2448/9999, Iter 244720: Loss = 0.008413514122366905, lr = [2.5e-05] +[2024-05-26 09:54:18,922] - INFO: Epoch 2448/9999, Iter 244760: Loss = 0.011109251528978348, lr = [2.5e-05] +[2024-05-26 09:54:47,600] - INFO: Epoch 2449/9999, Iter 244800: Loss = 0.00937599129974842, lr = [2.5e-05] +[2024-05-26 09:55:14,892] - INFO: Epoch 2449/9999, Iter 244840: Loss = 0.008577928878366947, lr = [2.5e-05] +[2024-05-26 09:55:42,095] - INFO: Epoch 2449/9999, Iter 244880: Loss = 0.007888457737863064, lr = [2.5e-05] +[2024-05-26 09:56:10,810] - INFO: Epoch 2450/9999, Iter 244920: Loss = 0.010153300128877163, lr = [2.5e-05] +[2024-05-26 09:56:38,007] - INFO: Epoch 2450/9999, Iter 244960: Loss = 0.012926525436341763, lr = [2.5e-05] +[2024-05-26 09:57:04,925] - INFO: Evaluate at epoch 2450! +[2024-05-26 09:57:09,652] - INFO: Eval PSNR (max): 38.220 (2375) SSIM (max): 0.9616 (2435) +[2024-05-26 09:57:09,652] - INFO: Eval PSNR (current): 38.191 (2450) SSIM (current): 0.9616 (2450) +[2024-05-26 09:57:09,652] - INFO: Evaluation over. +[2024-05-26 09:57:16,344] - INFO: Epoch 2451/9999, Iter 245000: Loss = 0.0070903245359659195, lr = [2.5e-05] +[2024-05-26 09:57:43,639] - INFO: Epoch 2451/9999, Iter 245040: Loss = 0.015596859157085419, lr = [2.5e-05] +[2024-05-26 09:58:10,834] - INFO: Epoch 2451/9999, Iter 245080: Loss = 0.008949761278927326, lr = [2.5e-05] +[2024-05-26 09:58:39,508] - INFO: Epoch 2452/9999, Iter 245120: Loss = 0.01947883516550064, lr = [2.5e-05] +[2024-05-26 09:59:06,785] - INFO: Epoch 2452/9999, Iter 245160: Loss = 0.008195087313652039, lr = [2.5e-05] +[2024-05-26 09:59:35,356] - INFO: Epoch 2453/9999, Iter 245200: Loss = 0.011282740160822868, lr = [2.5e-05] +[2024-05-26 10:00:02,631] - INFO: Epoch 2453/9999, Iter 245240: Loss = 0.014141516759991646, lr = [2.5e-05] +[2024-05-26 10:00:29,850] - INFO: Epoch 2453/9999, Iter 245280: Loss = 0.007030615117400885, lr = [2.5e-05] +[2024-05-26 10:00:58,628] - INFO: Epoch 2454/9999, Iter 245320: Loss = 0.015604449436068535, lr = [2.5e-05] +[2024-05-26 10:01:25,810] - INFO: Epoch 2454/9999, Iter 245360: Loss = 0.014413682743906975, lr = [2.5e-05] +[2024-05-26 10:01:54,634] - INFO: Epoch 2455/9999, Iter 245400: Loss = 0.00877455621957779, lr = [2.5e-05] +[2024-05-26 10:02:21,996] - INFO: Epoch 2455/9999, Iter 245440: Loss = 0.01580917462706566, lr = [2.5e-05] +[2024-05-26 10:02:49,183] - INFO: Epoch 2455/9999, Iter 245480: Loss = 0.007165351416915655, lr = [2.5e-05] +[2024-05-26 10:03:02,516] - INFO: Evaluate at epoch 2455! +[2024-05-26 10:03:07,156] - INFO: Eval PSNR (max): 38.220 (2375) SSIM (max): 0.9616 (2435) +[2024-05-26 10:03:07,156] - INFO: Eval PSNR (current): 38.154 (2455) SSIM (current): 0.9616 (2455) +[2024-05-26 10:03:07,156] - INFO: Evaluation over. +[2024-05-26 10:03:27,529] - INFO: Epoch 2456/9999, Iter 245520: Loss = 0.014239187352359295, lr = [2.5e-05] +[2024-05-26 10:03:54,739] - INFO: Epoch 2456/9999, Iter 245560: Loss = 0.01699140854179859, lr = [2.5e-05] +[2024-05-26 10:04:23,237] - INFO: Epoch 2457/9999, Iter 245600: Loss = 0.011708417907357216, lr = [2.5e-05] +[2024-05-26 10:04:50,544] - INFO: Epoch 2457/9999, Iter 245640: Loss = 0.01547612901777029, lr = [2.5e-05] +[2024-05-26 10:05:17,737] - INFO: Epoch 2457/9999, Iter 245680: Loss = 0.009934513829648495, lr = [2.5e-05] +[2024-05-26 10:05:46,298] - INFO: Epoch 2458/9999, Iter 245720: Loss = 0.00911541935056448, lr = [2.5e-05] +[2024-05-26 10:06:13,480] - INFO: Epoch 2458/9999, Iter 245760: Loss = 0.01349456887692213, lr = [2.5e-05] +[2024-05-26 10:06:41,688] - INFO: Epoch 2459/9999, Iter 245800: Loss = 0.019410546869039536, lr = [2.5e-05] +[2024-05-26 10:07:08,931] - INFO: Epoch 2459/9999, Iter 245840: Loss = 0.011422256007790565, lr = [2.5e-05] +[2024-05-26 10:07:36,165] - INFO: Epoch 2459/9999, Iter 245880: Loss = 0.012366639450192451, lr = [2.5e-05] +[2024-05-26 10:08:04,598] - INFO: Epoch 2460/9999, Iter 245920: Loss = 0.019013086333870888, lr = [2.5e-05] +[2024-05-26 10:08:31,802] - INFO: Epoch 2460/9999, Iter 245960: Loss = 0.008187045343220234, lr = [2.5e-05] +[2024-05-26 10:08:58,694] - INFO: Evaluate at epoch 2460! +[2024-05-26 10:09:03,261] - INFO: Eval PSNR (max): 38.220 (2375) SSIM (max): 0.9616 (2435) +[2024-05-26 10:09:03,261] - INFO: Eval PSNR (current): 38.178 (2460) SSIM (current): 0.9616 (2460) +[2024-05-26 10:09:03,262] - INFO: Evaluation over. +[2024-05-26 10:09:10,381] - INFO: Epoch 2461/9999, Iter 246000: Loss = 0.01666777953505516, lr = [2.5e-05] +[2024-05-26 10:09:37,724] - INFO: Epoch 2461/9999, Iter 246040: Loss = 0.007946955040097237, lr = [2.5e-05] +[2024-05-26 10:10:04,962] - INFO: Epoch 2461/9999, Iter 246080: Loss = 0.018981510773301125, lr = [2.5e-05] +[2024-05-26 10:10:33,427] - INFO: Epoch 2462/9999, Iter 246120: Loss = 0.015782499685883522, lr = [2.5e-05] +[2024-05-26 10:11:00,681] - INFO: Epoch 2462/9999, Iter 246160: Loss = 0.014005245640873909, lr = [2.5e-05] +[2024-05-26 10:11:29,236] - INFO: Epoch 2463/9999, Iter 246200: Loss = 0.016626449301838875, lr = [2.5e-05] +[2024-05-26 10:11:56,535] - INFO: Epoch 2463/9999, Iter 246240: Loss = 0.015180796384811401, lr = [2.5e-05] +[2024-05-26 10:12:23,753] - INFO: Epoch 2463/9999, Iter 246280: Loss = 0.012796427123248577, lr = [2.5e-05] +[2024-05-26 10:12:52,436] - INFO: Epoch 2464/9999, Iter 246320: Loss = 0.01411672867834568, lr = [2.5e-05] +[2024-05-26 10:13:19,630] - INFO: Epoch 2464/9999, Iter 246360: Loss = 0.01428127195686102, lr = [2.5e-05] +[2024-05-26 10:13:48,213] - INFO: Epoch 2465/9999, Iter 246400: Loss = 0.013033926486968994, lr = [2.5e-05] +[2024-05-26 10:14:15,526] - INFO: Epoch 2465/9999, Iter 246440: Loss = 0.01313002035021782, lr = [2.5e-05] +[2024-05-26 10:14:42,724] - INFO: Epoch 2465/9999, Iter 246480: Loss = 0.012233191169798374, lr = [2.5e-05] +[2024-05-26 10:14:56,057] - INFO: Evaluate at epoch 2465! +[2024-05-26 10:15:00,616] - INFO: Eval PSNR (max): 38.220 (2375) SSIM (max): 0.9616 (2435) +[2024-05-26 10:15:00,617] - INFO: Eval PSNR (current): 38.184 (2465) SSIM (current): 0.9616 (2465) +[2024-05-26 10:15:00,617] - INFO: Evaluation over. +[2024-05-26 10:15:21,094] - INFO: Epoch 2466/9999, Iter 246520: Loss = 0.01760037988424301, lr = [2.5e-05] +[2024-05-26 10:15:48,330] - INFO: Epoch 2466/9999, Iter 246560: Loss = 0.0109565369784832, lr = [2.5e-05] +[2024-05-26 10:16:16,917] - INFO: Epoch 2467/9999, Iter 246600: Loss = 0.011849532835185528, lr = [2.5e-05] +[2024-05-26 10:16:44,177] - INFO: Epoch 2467/9999, Iter 246640: Loss = 0.004068248439580202, lr = [2.5e-05] +[2024-05-26 10:17:11,366] - INFO: Epoch 2467/9999, Iter 246680: Loss = 0.010476724244654179, lr = [2.5e-05] +[2024-05-26 10:17:40,172] - INFO: Epoch 2468/9999, Iter 246720: Loss = 0.018207905814051628, lr = [2.5e-05] +[2024-05-26 10:18:07,377] - INFO: Epoch 2468/9999, Iter 246760: Loss = 0.012780756689608097, lr = [2.5e-05] +[2024-05-26 10:18:35,928] - INFO: Epoch 2469/9999, Iter 246800: Loss = 0.00988802220672369, lr = [2.5e-05] +[2024-05-26 10:19:03,353] - INFO: Epoch 2469/9999, Iter 246840: Loss = 0.013116102665662766, lr = [2.5e-05] +[2024-05-26 10:19:30,527] - INFO: Epoch 2469/9999, Iter 246880: Loss = 0.02356266975402832, lr = [2.5e-05] +[2024-05-26 10:19:59,260] - INFO: Epoch 2470/9999, Iter 246920: Loss = 0.010523003526031971, lr = [2.5e-05] +[2024-05-26 10:20:26,487] - INFO: Epoch 2470/9999, Iter 246960: Loss = 0.01397792063653469, lr = [2.5e-05] +[2024-05-26 10:20:53,385] - INFO: Evaluate at epoch 2470! +[2024-05-26 10:20:57,885] - INFO: Eval PSNR (max): 38.220 (2375) SSIM (max): 0.9616 (2435) +[2024-05-26 10:20:57,885] - INFO: Eval PSNR (current): 38.190 (2470) SSIM (current): 0.9616 (2470) +[2024-05-26 10:20:57,885] - INFO: Evaluation over. +[2024-05-26 10:21:04,506] - INFO: Epoch 2471/9999, Iter 247000: Loss = 0.015347710810601711, lr = [2.5e-05] +[2024-05-26 10:21:31,816] - INFO: Epoch 2471/9999, Iter 247040: Loss = 0.011147522367537022, lr = [2.5e-05] +[2024-05-26 10:21:59,063] - INFO: Epoch 2471/9999, Iter 247080: Loss = 0.00827830284833908, lr = [2.5e-05] +[2024-05-26 10:22:27,674] - INFO: Epoch 2472/9999, Iter 247120: Loss = 0.012637156993150711, lr = [2.5e-05] +[2024-05-26 10:22:54,815] - INFO: Epoch 2472/9999, Iter 247160: Loss = 0.02270410768687725, lr = [2.5e-05] +[2024-05-26 10:23:23,257] - INFO: Epoch 2473/9999, Iter 247200: Loss = 0.010808300226926804, lr = [2.5e-05] +[2024-05-26 10:23:50,685] - INFO: Epoch 2473/9999, Iter 247240: Loss = 0.015464047901332378, lr = [2.5e-05] +[2024-05-26 10:24:17,888] - INFO: Epoch 2473/9999, Iter 247280: Loss = 0.011740823276340961, lr = [2.5e-05] +[2024-05-26 10:24:46,530] - INFO: Epoch 2474/9999, Iter 247320: Loss = 0.014786221086978912, lr = [2.5e-05] +[2024-05-26 10:25:13,731] - INFO: Epoch 2474/9999, Iter 247360: Loss = 0.011291863396763802, lr = [2.5e-05] +[2024-05-26 10:25:42,396] - INFO: Epoch 2475/9999, Iter 247400: Loss = 0.01343582570552826, lr = [2.5e-05] +[2024-05-26 10:26:09,660] - INFO: Epoch 2475/9999, Iter 247440: Loss = 0.005542119964957237, lr = [2.5e-05] +[2024-05-26 10:26:36,952] - INFO: Epoch 2475/9999, Iter 247480: Loss = 0.008287597447633743, lr = [2.5e-05] +[2024-05-26 10:26:50,228] - INFO: Evaluate at epoch 2475! +[2024-05-26 10:26:55,071] - INFO: Eval PSNR (max): 38.220 (2375) SSIM (max): 0.9616 (2435) +[2024-05-26 10:26:55,071] - INFO: Eval PSNR (current): 38.181 (2475) SSIM (current): 0.9616 (2475) +[2024-05-26 10:26:55,071] - INFO: Evaluation over. +[2024-05-26 10:27:15,350] - INFO: Epoch 2476/9999, Iter 247520: Loss = 0.008306384086608887, lr = [2.5e-05] +[2024-05-26 10:27:42,549] - INFO: Epoch 2476/9999, Iter 247560: Loss = 0.008131396025419235, lr = [2.5e-05] +[2024-05-26 10:28:11,005] - INFO: Epoch 2477/9999, Iter 247600: Loss = 0.012772183865308762, lr = [2.5e-05] +[2024-05-26 10:28:38,276] - INFO: Epoch 2477/9999, Iter 247640: Loss = 0.010319991037249565, lr = [2.5e-05] +[2024-05-26 10:29:05,496] - INFO: Epoch 2477/9999, Iter 247680: Loss = 0.009713838808238506, lr = [2.5e-05] +[2024-05-26 10:29:34,276] - INFO: Epoch 2478/9999, Iter 247720: Loss = 0.01382193062454462, lr = [2.5e-05] +[2024-05-26 10:30:01,546] - INFO: Epoch 2478/9999, Iter 247760: Loss = 0.00858383346349001, lr = [2.5e-05] +[2024-05-26 10:30:29,962] - INFO: Epoch 2479/9999, Iter 247800: Loss = 0.010321044363081455, lr = [2.5e-05] +[2024-05-26 10:30:57,300] - INFO: Epoch 2479/9999, Iter 247840: Loss = 0.01239037699997425, lr = [2.5e-05] +[2024-05-26 10:31:24,496] - INFO: Epoch 2479/9999, Iter 247880: Loss = 0.015725694596767426, lr = [2.5e-05] +[2024-05-26 10:31:53,126] - INFO: Epoch 2480/9999, Iter 247920: Loss = 0.011164753697812557, lr = [2.5e-05] +[2024-05-26 10:32:20,282] - INFO: Epoch 2480/9999, Iter 247960: Loss = 0.014732707291841507, lr = [2.5e-05] +[2024-05-26 10:32:47,145] - INFO: Evaluate at epoch 2480! +[2024-05-26 10:32:51,620] - INFO: Eval PSNR (max): 38.220 (2375) SSIM (max): 0.9616 (2435) +[2024-05-26 10:32:51,620] - INFO: Eval PSNR (current): 38.200 (2480) SSIM (current): 0.9616 (2480) +[2024-05-26 10:32:51,620] - INFO: Evaluation over. +[2024-05-26 10:32:58,835] - INFO: Epoch 2481/9999, Iter 248000: Loss = 0.016274970024824142, lr = [2.5e-05] +[2024-05-26 10:33:26,077] - INFO: Epoch 2481/9999, Iter 248040: Loss = 0.011940324679017067, lr = [2.5e-05] +[2024-05-26 10:33:53,252] - INFO: Epoch 2481/9999, Iter 248080: Loss = 0.014174253679811954, lr = [2.5e-05] +[2024-05-26 10:34:22,024] - INFO: Epoch 2482/9999, Iter 248120: Loss = 0.01698497124016285, lr = [2.5e-05] +[2024-05-26 10:34:49,246] - INFO: Epoch 2482/9999, Iter 248160: Loss = 0.007086066994816065, lr = [2.5e-05] +[2024-05-26 10:35:17,722] - INFO: Epoch 2483/9999, Iter 248200: Loss = 0.010488503612577915, lr = [2.5e-05] +[2024-05-26 10:35:45,005] - INFO: Epoch 2483/9999, Iter 248240: Loss = 0.009673841297626495, lr = [2.5e-05] +[2024-05-26 10:36:12,214] - INFO: Epoch 2483/9999, Iter 248280: Loss = 0.01888599805533886, lr = [2.5e-05] +[2024-05-26 10:36:40,788] - INFO: Epoch 2484/9999, Iter 248320: Loss = 0.009845657274127007, lr = [2.5e-05] +[2024-05-26 10:37:07,994] - INFO: Epoch 2484/9999, Iter 248360: Loss = 0.009478653781116009, lr = [2.5e-05] +[2024-05-26 10:37:36,464] - INFO: Epoch 2485/9999, Iter 248400: Loss = 0.013614878058433533, lr = [2.5e-05] +[2024-05-26 10:38:03,721] - INFO: Epoch 2485/9999, Iter 248440: Loss = 0.016538390889763832, lr = [2.5e-05] +[2024-05-26 10:38:30,942] - INFO: Epoch 2485/9999, Iter 248480: Loss = 0.007289777044206858, lr = [2.5e-05] +[2024-05-26 10:38:44,262] - INFO: Evaluate at epoch 2485! +[2024-05-26 10:38:48,980] - INFO: Eval PSNR (max): 38.220 (2375) SSIM (max): 0.9616 (2435) +[2024-05-26 10:38:48,980] - INFO: Eval PSNR (current): 38.191 (2485) SSIM (current): 0.9616 (2485) +[2024-05-26 10:38:48,980] - INFO: Evaluation over. +[2024-05-26 10:39:09,562] - INFO: Epoch 2486/9999, Iter 248520: Loss = 0.009422163479030132, lr = [2.5e-05] +[2024-05-26 10:39:36,795] - INFO: Epoch 2486/9999, Iter 248560: Loss = 0.0092161251232028, lr = [2.5e-05] +[2024-05-26 10:40:05,396] - INFO: Epoch 2487/9999, Iter 248600: Loss = 0.010957109741866589, lr = [2.5e-05] +[2024-05-26 10:40:32,698] - INFO: Epoch 2487/9999, Iter 248640: Loss = 0.010029072873294353, lr = [2.5e-05] +[2024-05-26 10:40:59,912] - INFO: Epoch 2487/9999, Iter 248680: Loss = 0.011983441188931465, lr = [2.5e-05] +[2024-05-26 10:41:28,578] - INFO: Epoch 2488/9999, Iter 248720: Loss = 0.011320441029965878, lr = [2.5e-05] +[2024-05-26 10:41:55,791] - INFO: Epoch 2488/9999, Iter 248760: Loss = 0.011111914180219173, lr = [2.5e-05] +[2024-05-26 10:42:24,218] - INFO: Epoch 2489/9999, Iter 248800: Loss = 0.01628599502146244, lr = [2.5e-05] +[2024-05-26 10:42:51,675] - INFO: Epoch 2489/9999, Iter 248840: Loss = 0.007890519686043262, lr = [2.5e-05] +[2024-05-26 10:43:18,901] - INFO: Epoch 2489/9999, Iter 248880: Loss = 0.01462616864591837, lr = [2.5e-05] +[2024-05-26 10:43:47,707] - INFO: Epoch 2490/9999, Iter 248920: Loss = 0.009055203758180141, lr = [2.5e-05] +[2024-05-26 10:44:14,940] - INFO: Epoch 2490/9999, Iter 248960: Loss = 0.013542226515710354, lr = [2.5e-05] +[2024-05-26 10:44:41,801] - INFO: Evaluate at epoch 2490! +[2024-05-26 10:44:46,415] - INFO: Eval PSNR (max): 38.220 (2375) SSIM (max): 0.9616 (2435) +[2024-05-26 10:44:46,415] - INFO: Eval PSNR (current): 38.200 (2490) SSIM (current): 0.9615 (2490) +[2024-05-26 10:44:46,415] - INFO: Evaluation over. +[2024-05-26 10:44:53,152] - INFO: Epoch 2491/9999, Iter 249000: Loss = 0.009067408740520477, lr = [2.5e-05] +[2024-05-26 10:45:20,471] - INFO: Epoch 2491/9999, Iter 249040: Loss = 0.013646461069583893, lr = [2.5e-05] +[2024-05-26 10:45:47,660] - INFO: Epoch 2491/9999, Iter 249080: Loss = 0.013555575162172318, lr = [2.5e-05] +[2024-05-26 10:46:16,393] - INFO: Epoch 2492/9999, Iter 249120: Loss = 0.007525103632360697, lr = [2.5e-05] +[2024-05-26 10:46:43,623] - INFO: Epoch 2492/9999, Iter 249160: Loss = 0.012642313726246357, lr = [2.5e-05] +[2024-05-26 10:47:12,370] - INFO: Epoch 2493/9999, Iter 249200: Loss = 0.019203850999474525, lr = [2.5e-05] +[2024-05-26 10:47:39,614] - INFO: Epoch 2493/9999, Iter 249240: Loss = 0.013500538654625416, lr = [2.5e-05] +[2024-05-26 10:48:06,906] - INFO: Epoch 2493/9999, Iter 249280: Loss = 0.010316482745110989, lr = [2.5e-05] +[2024-05-26 10:48:35,532] - INFO: Epoch 2494/9999, Iter 249320: Loss = 0.012653247453272343, lr = [2.5e-05] +[2024-05-26 10:49:02,776] - INFO: Epoch 2494/9999, Iter 249360: Loss = 0.012215115129947662, lr = [2.5e-05] +[2024-05-26 10:49:31,388] - INFO: Epoch 2495/9999, Iter 249400: Loss = 0.01467698160558939, lr = [2.5e-05] +[2024-05-26 10:49:58,688] - INFO: Epoch 2495/9999, Iter 249440: Loss = 0.011405461467802525, lr = [2.5e-05] +[2024-05-26 10:50:25,947] - INFO: Epoch 2495/9999, Iter 249480: Loss = 0.00676985876634717, lr = [2.5e-05] +[2024-05-26 10:50:39,218] - INFO: Evaluate at epoch 2495! +[2024-05-26 10:50:43,835] - INFO: Eval PSNR (max): 38.220 (2375) SSIM (max): 0.9616 (2435) +[2024-05-26 10:50:43,835] - INFO: Eval PSNR (current): 38.217 (2495) SSIM (current): 0.9616 (2495) +[2024-05-26 10:50:43,835] - INFO: Evaluation over. +[2024-05-26 10:51:04,384] - INFO: Epoch 2496/9999, Iter 249520: Loss = 0.01356144342571497, lr = [2.5e-05] +[2024-05-26 10:51:31,600] - INFO: Epoch 2496/9999, Iter 249560: Loss = 0.011115276254713535, lr = [2.5e-05] +[2024-05-26 10:52:00,072] - INFO: Epoch 2497/9999, Iter 249600: Loss = 0.010733861476182938, lr = [2.5e-05] +[2024-05-26 10:52:27,436] - INFO: Epoch 2497/9999, Iter 249640: Loss = 0.008867939002811909, lr = [2.5e-05] +[2024-05-26 10:52:54,622] - INFO: Epoch 2497/9999, Iter 249680: Loss = 0.010762465186417103, lr = [2.5e-05] +[2024-05-26 10:53:23,264] - INFO: Epoch 2498/9999, Iter 249720: Loss = 0.014122086577117443, lr = [2.5e-05] +[2024-05-26 10:53:50,482] - INFO: Epoch 2498/9999, Iter 249760: Loss = 0.009769325144588947, lr = [2.5e-05] +[2024-05-26 10:54:19,119] - INFO: Epoch 2499/9999, Iter 249800: Loss = 0.011411122046411037, lr = [2.5e-05] +[2024-05-26 10:54:46,484] - INFO: Epoch 2499/9999, Iter 249840: Loss = 0.015917956829071045, lr = [2.5e-05] +[2024-05-26 10:55:13,722] - INFO: Epoch 2499/9999, Iter 249880: Loss = 0.008781143464148045, lr = [2.5e-05] +[2024-05-26 10:55:42,232] - INFO: Epoch 2500/9999, Iter 249920: Loss = 0.014556210488080978, lr = [1.25e-05] +[2024-05-26 10:56:09,416] - INFO: Epoch 2500/9999, Iter 249960: Loss = 0.014862469397485256, lr = [1.25e-05] +[2024-05-26 10:56:36,388] - INFO: Evaluate at epoch 2500! +[2024-05-26 10:56:46,639] - INFO: Eval PSNR (max): 38.230 (2500) SSIM (max): 0.9616 (2435) +[2024-05-26 10:56:46,639] - INFO: Eval PSNR (current): 38.230 (2500) SSIM (current): 0.9616 (2500) +[2024-05-26 10:56:46,639] - INFO: Evaluation over. +[2024-05-26 10:56:53,432] - INFO: Epoch 2501/9999, Iter 250000: Loss = 0.013489442877471447, lr = [1.25e-05] +[2024-05-26 10:57:20,794] - INFO: Epoch 2501/9999, Iter 250040: Loss = 0.015821175649762154, lr = [1.25e-05] +[2024-05-26 10:57:48,041] - INFO: Epoch 2501/9999, Iter 250080: Loss = 0.010952351614832878, lr = [1.25e-05] +[2024-05-26 10:58:16,766] - INFO: Epoch 2502/9999, Iter 250120: Loss = 0.0071327234618365765, lr = [1.25e-05] +[2024-05-26 10:58:43,977] - INFO: Epoch 2502/9999, Iter 250160: Loss = 0.011212660931050777, lr = [1.25e-05] +[2024-05-26 10:59:12,575] - INFO: Epoch 2503/9999, Iter 250200: Loss = 0.011552874930202961, lr = [1.25e-05] +[2024-05-26 10:59:39,847] - INFO: Epoch 2503/9999, Iter 250240: Loss = 0.008653693832457066, lr = [1.25e-05] +[2024-05-26 11:00:07,066] - INFO: Epoch 2503/9999, Iter 250280: Loss = 0.0063452813774347305, lr = [1.25e-05] +[2024-05-26 11:00:35,749] - INFO: Epoch 2504/9999, Iter 250320: Loss = 0.0253805723041296, lr = [1.25e-05] +[2024-05-26 11:01:02,950] - INFO: Epoch 2504/9999, Iter 250360: Loss = 0.019918575882911682, lr = [1.25e-05] +[2024-05-26 11:01:31,606] - INFO: Epoch 2505/9999, Iter 250400: Loss = 0.012863925658166409, lr = [1.25e-05] +[2024-05-26 11:01:58,909] - INFO: Epoch 2505/9999, Iter 250440: Loss = 0.019442403689026833, lr = [1.25e-05] +[2024-05-26 11:02:26,121] - INFO: Epoch 2505/9999, Iter 250480: Loss = 0.008972966112196445, lr = [1.25e-05] +[2024-05-26 11:02:39,414] - INFO: Evaluate at epoch 2505! +[2024-05-26 11:02:44,113] - INFO: Eval PSNR (max): 38.230 (2500) SSIM (max): 0.9616 (2435) +[2024-05-26 11:02:44,114] - INFO: Eval PSNR (current): 38.222 (2505) SSIM (current): 0.9616 (2505) +[2024-05-26 11:02:44,114] - INFO: Evaluation over. +[2024-05-26 11:03:04,704] - INFO: Epoch 2506/9999, Iter 250520: Loss = 0.008671988733112812, lr = [1.25e-05] +[2024-05-26 11:03:31,893] - INFO: Epoch 2506/9999, Iter 250560: Loss = 0.015751032158732414, lr = [1.25e-05] +[2024-05-26 11:04:00,697] - INFO: Epoch 2507/9999, Iter 250600: Loss = 0.009080726653337479, lr = [1.25e-05] +[2024-05-26 11:04:27,994] - INFO: Epoch 2507/9999, Iter 250640: Loss = 0.014898108318448067, lr = [1.25e-05] +[2024-05-26 11:04:55,153] - INFO: Epoch 2507/9999, Iter 250680: Loss = 0.006683554966002703, lr = [1.25e-05] +[2024-05-26 11:05:23,923] - INFO: Epoch 2508/9999, Iter 250720: Loss = 0.004748884122818708, lr = [1.25e-05] +[2024-05-26 11:05:51,115] - INFO: Epoch 2508/9999, Iter 250760: Loss = 0.01201494038105011, lr = [1.25e-05] +[2024-05-26 11:06:19,752] - INFO: Epoch 2509/9999, Iter 250800: Loss = 0.00917329266667366, lr = [1.25e-05] +[2024-05-26 11:06:47,012] - INFO: Epoch 2509/9999, Iter 250840: Loss = 0.009420440532267094, lr = [1.25e-05] +[2024-05-26 11:07:14,214] - INFO: Epoch 2509/9999, Iter 250880: Loss = 0.015830202028155327, lr = [1.25e-05] +[2024-05-26 11:07:42,837] - INFO: Epoch 2510/9999, Iter 250920: Loss = 0.01489696279168129, lr = [1.25e-05] +[2024-05-26 11:08:10,020] - INFO: Epoch 2510/9999, Iter 250960: Loss = 0.009889430366456509, lr = [1.25e-05] +[2024-05-26 11:08:36,947] - INFO: Evaluate at epoch 2510! +[2024-05-26 11:08:46,890] - INFO: Eval PSNR (max): 38.230 (2500) SSIM (max): 0.9617 (2510) +[2024-05-26 11:08:46,891] - INFO: Eval PSNR (current): 38.222 (2510) SSIM (current): 0.9617 (2510) +[2024-05-26 11:08:46,891] - INFO: Evaluation over. +[2024-05-26 11:08:53,672] - INFO: Epoch 2511/9999, Iter 251000: Loss = 0.006569484248757362, lr = [1.25e-05] +[2024-05-26 11:09:20,954] - INFO: Epoch 2511/9999, Iter 251040: Loss = 0.00794646330177784, lr = [1.25e-05] +[2024-05-26 11:09:48,170] - INFO: Epoch 2511/9999, Iter 251080: Loss = 0.013678099028766155, lr = [1.25e-05] +[2024-05-26 11:10:17,082] - INFO: Epoch 2512/9999, Iter 251120: Loss = 0.018552172929048538, lr = [1.25e-05] +[2024-05-26 11:10:44,311] - INFO: Epoch 2512/9999, Iter 251160: Loss = 0.009058882482349873, lr = [1.25e-05] +[2024-05-26 11:11:12,861] - INFO: Epoch 2513/9999, Iter 251200: Loss = 0.010522512719035149, lr = [1.25e-05] +[2024-05-26 11:11:40,229] - INFO: Epoch 2513/9999, Iter 251240: Loss = 0.012330899946391582, lr = [1.25e-05] +[2024-05-26 11:12:07,393] - INFO: Epoch 2513/9999, Iter 251280: Loss = 0.013212773948907852, lr = [1.25e-05] +[2024-05-26 11:12:36,222] - INFO: Epoch 2514/9999, Iter 251320: Loss = 0.010504715144634247, lr = [1.25e-05] +[2024-05-26 11:13:03,449] - INFO: Epoch 2514/9999, Iter 251360: Loss = 0.019924839958548546, lr = [1.25e-05] +[2024-05-26 11:13:31,964] - INFO: Epoch 2515/9999, Iter 251400: Loss = 0.015516960993409157, lr = [1.25e-05] +[2024-05-26 11:13:59,222] - INFO: Epoch 2515/9999, Iter 251440: Loss = 0.005196594167500734, lr = [1.25e-05] +[2024-05-26 11:14:26,367] - INFO: Epoch 2515/9999, Iter 251480: Loss = 0.009828530251979828, lr = [1.25e-05] +[2024-05-26 11:14:39,679] - INFO: Evaluate at epoch 2515! +[2024-05-26 11:14:44,154] - INFO: Eval PSNR (max): 38.230 (2500) SSIM (max): 0.9617 (2510) +[2024-05-26 11:14:44,154] - INFO: Eval PSNR (current): 38.225 (2515) SSIM (current): 0.9616 (2515) +[2024-05-26 11:14:44,155] - INFO: Evaluation over. +[2024-05-26 11:15:04,731] - INFO: Epoch 2516/9999, Iter 251520: Loss = 0.01812116615474224, lr = [1.25e-05] +[2024-05-26 11:15:31,972] - INFO: Epoch 2516/9999, Iter 251560: Loss = 0.019927192479372025, lr = [1.25e-05] +[2024-05-26 11:16:00,704] - INFO: Epoch 2517/9999, Iter 251600: Loss = 0.0078993309289217, lr = [1.25e-05] +[2024-05-26 11:16:28,053] - INFO: Epoch 2517/9999, Iter 251640: Loss = 0.009918880648911, lr = [1.25e-05] +[2024-05-26 11:16:55,262] - INFO: Epoch 2517/9999, Iter 251680: Loss = 0.007607290055602789, lr = [1.25e-05] +[2024-05-26 11:17:23,996] - INFO: Epoch 2518/9999, Iter 251720: Loss = 0.010904764756560326, lr = [1.25e-05] +[2024-05-26 11:17:51,190] - INFO: Epoch 2518/9999, Iter 251760: Loss = 0.010090958327054977, lr = [1.25e-05] +[2024-05-26 11:18:19,714] - INFO: Epoch 2519/9999, Iter 251800: Loss = 0.009840949438512325, lr = [1.25e-05] +[2024-05-26 11:18:47,005] - INFO: Epoch 2519/9999, Iter 251840: Loss = 0.011964487843215466, lr = [1.25e-05] +[2024-05-26 11:19:14,247] - INFO: Epoch 2519/9999, Iter 251880: Loss = 0.0054681249894201756, lr = [1.25e-05] +[2024-05-26 11:19:42,864] - INFO: Epoch 2520/9999, Iter 251920: Loss = 0.009159117937088013, lr = [1.25e-05] +[2024-05-26 11:20:10,058] - INFO: Epoch 2520/9999, Iter 251960: Loss = 0.010714595206081867, lr = [1.25e-05] +[2024-05-26 11:20:36,976] - INFO: Evaluate at epoch 2520! +[2024-05-26 11:20:46,574] - INFO: Eval PSNR (max): 38.230 (2500) SSIM (max): 0.9617 (2520) +[2024-05-26 11:20:46,574] - INFO: Eval PSNR (current): 38.230 (2520) SSIM (current): 0.9617 (2520) +[2024-05-26 11:20:46,575] - INFO: Evaluation over. +[2024-05-26 11:20:53,397] - INFO: Epoch 2521/9999, Iter 252000: Loss = 0.010398264043033123, lr = [1.25e-05] +[2024-05-26 11:21:20,719] - INFO: Epoch 2521/9999, Iter 252040: Loss = 0.011956928297877312, lr = [1.25e-05] +[2024-05-26 11:21:47,927] - INFO: Epoch 2521/9999, Iter 252080: Loss = 0.013471275568008423, lr = [1.25e-05] +[2024-05-26 11:22:16,701] - INFO: Epoch 2522/9999, Iter 252120: Loss = 0.01464191172271967, lr = [1.25e-05] +[2024-05-26 11:22:43,975] - INFO: Epoch 2522/9999, Iter 252160: Loss = 0.009218322113156319, lr = [1.25e-05] +[2024-05-26 11:23:12,642] - INFO: Epoch 2523/9999, Iter 252200: Loss = 0.009500904940068722, lr = [1.25e-05] +[2024-05-26 11:23:39,927] - INFO: Epoch 2523/9999, Iter 252240: Loss = 0.008228110149502754, lr = [1.25e-05] +[2024-05-26 11:24:07,087] - INFO: Epoch 2523/9999, Iter 252280: Loss = 0.011216910555958748, lr = [1.25e-05] +[2024-05-26 11:24:35,788] - INFO: Epoch 2524/9999, Iter 252320: Loss = 0.025972040370106697, lr = [1.25e-05] +[2024-05-26 11:25:03,042] - INFO: Epoch 2524/9999, Iter 252360: Loss = 0.004967628512531519, lr = [1.25e-05] +[2024-05-26 11:25:31,684] - INFO: Epoch 2525/9999, Iter 252400: Loss = 0.009119714610278606, lr = [1.25e-05] +[2024-05-26 11:25:59,003] - INFO: Epoch 2525/9999, Iter 252440: Loss = 0.015571655705571175, lr = [1.25e-05] +[2024-05-26 11:26:26,224] - INFO: Epoch 2525/9999, Iter 252480: Loss = 0.011045747436583042, lr = [1.25e-05] +[2024-05-26 11:26:39,555] - INFO: Evaluate at epoch 2525! +[2024-05-26 11:26:54,523] - INFO: Eval PSNR (max): 38.235 (2525) SSIM (max): 0.9617 (2525) +[2024-05-26 11:26:54,524] - INFO: Eval PSNR (current): 38.235 (2525) SSIM (current): 0.9617 (2525) +[2024-05-26 11:26:54,524] - INFO: Evaluation over. +[2024-05-26 11:27:14,913] - INFO: Epoch 2526/9999, Iter 252520: Loss = 0.0134661253541708, lr = [1.25e-05] +[2024-05-26 11:27:42,118] - INFO: Epoch 2526/9999, Iter 252560: Loss = 0.009984343312680721, lr = [1.25e-05] +[2024-05-26 11:28:10,725] - INFO: Epoch 2527/9999, Iter 252600: Loss = 0.009862542152404785, lr = [1.25e-05] +[2024-05-26 11:28:38,105] - INFO: Epoch 2527/9999, Iter 252640: Loss = 0.008151967078447342, lr = [1.25e-05] +[2024-05-26 11:29:05,268] - INFO: Epoch 2527/9999, Iter 252680: Loss = 0.006913124583661556, lr = [1.25e-05] +[2024-05-26 11:29:34,187] - INFO: Epoch 2528/9999, Iter 252720: Loss = 0.006872250698506832, lr = [1.25e-05] +[2024-05-26 11:30:01,357] - INFO: Epoch 2528/9999, Iter 252760: Loss = 0.0158042274415493, lr = [1.25e-05] +[2024-05-26 11:30:30,068] - INFO: Epoch 2529/9999, Iter 252800: Loss = 0.013691084459424019, lr = [1.25e-05] +[2024-05-26 11:30:57,344] - INFO: Epoch 2529/9999, Iter 252840: Loss = 0.006235175300389528, lr = [1.25e-05] +[2024-05-26 11:31:24,520] - INFO: Epoch 2529/9999, Iter 252880: Loss = 0.01280840765684843, lr = [1.25e-05] +[2024-05-26 11:31:52,993] - INFO: Epoch 2530/9999, Iter 252920: Loss = 0.018828829750418663, lr = [1.25e-05] +[2024-05-26 11:32:20,274] - INFO: Epoch 2530/9999, Iter 252960: Loss = 0.015265675261616707, lr = [1.25e-05] +[2024-05-26 11:32:47,280] - INFO: Evaluate at epoch 2530! +[2024-05-26 11:32:51,822] - INFO: Eval PSNR (max): 38.235 (2525) SSIM (max): 0.9617 (2525) +[2024-05-26 11:32:51,822] - INFO: Eval PSNR (current): 38.222 (2530) SSIM (current): 0.9617 (2530) +[2024-05-26 11:32:51,822] - INFO: Evaluation over. +[2024-05-26 11:32:58,565] - INFO: Epoch 2531/9999, Iter 253000: Loss = 0.011941540986299515, lr = [1.25e-05] +[2024-05-26 11:33:25,957] - INFO: Epoch 2531/9999, Iter 253040: Loss = 0.016314329579472542, lr = [1.25e-05] +[2024-05-26 11:33:53,174] - INFO: Epoch 2531/9999, Iter 253080: Loss = 0.01780320145189762, lr = [1.25e-05] +[2024-05-26 11:34:21,615] - INFO: Epoch 2532/9999, Iter 253120: Loss = 0.011754142120480537, lr = [1.25e-05] +[2024-05-26 11:34:48,811] - INFO: Epoch 2532/9999, Iter 253160: Loss = 0.00673556886613369, lr = [1.25e-05] +[2024-05-26 11:35:17,463] - INFO: Epoch 2533/9999, Iter 253200: Loss = 0.011982990428805351, lr = [1.25e-05] +[2024-05-26 11:35:44,771] - INFO: Epoch 2533/9999, Iter 253240: Loss = 0.013811665587127209, lr = [1.25e-05] +[2024-05-26 11:36:11,896] - INFO: Epoch 2533/9999, Iter 253280: Loss = 0.009809136390686035, lr = [1.25e-05] +[2024-05-26 11:36:40,570] - INFO: Epoch 2534/9999, Iter 253320: Loss = 0.016682136803865433, lr = [1.25e-05] +[2024-05-26 11:37:07,771] - INFO: Epoch 2534/9999, Iter 253360: Loss = 0.017629332840442657, lr = [1.25e-05] +[2024-05-26 11:37:36,396] - INFO: Epoch 2535/9999, Iter 253400: Loss = 0.0072650001384317875, lr = [1.25e-05] +[2024-05-26 11:38:03,702] - INFO: Epoch 2535/9999, Iter 253440: Loss = 0.010096991434693336, lr = [1.25e-05] +[2024-05-26 11:38:30,936] - INFO: Epoch 2535/9999, Iter 253480: Loss = 0.016116131097078323, lr = [1.25e-05] +[2024-05-26 11:38:44,267] - INFO: Evaluate at epoch 2535! +[2024-05-26 11:38:48,961] - INFO: Eval PSNR (max): 38.235 (2525) SSIM (max): 0.9617 (2525) +[2024-05-26 11:38:48,961] - INFO: Eval PSNR (current): 38.212 (2535) SSIM (current): 0.9616 (2535) +[2024-05-26 11:38:48,961] - INFO: Evaluation over. +[2024-05-26 11:39:09,260] - INFO: Epoch 2536/9999, Iter 253520: Loss = 0.008372519165277481, lr = [1.25e-05] +[2024-05-26 11:39:36,461] - INFO: Epoch 2536/9999, Iter 253560: Loss = 0.010481862351298332, lr = [1.25e-05] +[2024-05-26 11:40:05,074] - INFO: Epoch 2537/9999, Iter 253600: Loss = 0.007974772714078426, lr = [1.25e-05] +[2024-05-26 11:40:32,386] - INFO: Epoch 2537/9999, Iter 253640: Loss = 0.01309943851083517, lr = [1.25e-05] +[2024-05-26 11:40:59,542] - INFO: Epoch 2537/9999, Iter 253680: Loss = 0.010830814950168133, lr = [1.25e-05] +[2024-05-26 11:41:28,228] - INFO: Epoch 2538/9999, Iter 253720: Loss = 0.010774325579404831, lr = [1.25e-05] +[2024-05-26 11:41:55,416] - INFO: Epoch 2538/9999, Iter 253760: Loss = 0.009347008541226387, lr = [1.25e-05] +[2024-05-26 11:42:24,388] - INFO: Epoch 2539/9999, Iter 253800: Loss = 0.010134758427739143, lr = [1.25e-05] +[2024-05-26 11:42:51,686] - INFO: Epoch 2539/9999, Iter 253840: Loss = 0.008456747978925705, lr = [1.25e-05] +[2024-05-26 11:43:18,884] - INFO: Epoch 2539/9999, Iter 253880: Loss = 0.015697261318564415, lr = [1.25e-05] +[2024-05-26 11:43:47,566] - INFO: Epoch 2540/9999, Iter 253920: Loss = 0.01220036018639803, lr = [1.25e-05] +[2024-05-26 11:44:14,842] - INFO: Epoch 2540/9999, Iter 253960: Loss = 0.013800625689327717, lr = [1.25e-05] +[2024-05-26 11:44:41,755] - INFO: Evaluate at epoch 2540! +[2024-05-26 11:44:51,838] - INFO: Eval PSNR (max): 38.236 (2540) SSIM (max): 0.9617 (2525) +[2024-05-26 11:44:51,839] - INFO: Eval PSNR (current): 38.236 (2540) SSIM (current): 0.9617 (2540) +[2024-05-26 11:44:51,839] - INFO: Evaluation over. +[2024-05-26 11:44:58,680] - INFO: Epoch 2541/9999, Iter 254000: Loss = 0.010859326459467411, lr = [1.25e-05] +[2024-05-26 11:45:26,007] - INFO: Epoch 2541/9999, Iter 254040: Loss = 0.013668941333889961, lr = [1.25e-05] +[2024-05-26 11:45:53,262] - INFO: Epoch 2541/9999, Iter 254080: Loss = 0.009595734067261219, lr = [1.25e-05] +[2024-05-26 11:46:21,832] - INFO: Epoch 2542/9999, Iter 254120: Loss = 0.008824975229799747, lr = [1.25e-05] +[2024-05-26 11:46:49,036] - INFO: Epoch 2542/9999, Iter 254160: Loss = 0.016414353623986244, lr = [1.25e-05] +[2024-05-26 11:47:17,615] - INFO: Epoch 2543/9999, Iter 254200: Loss = 0.007467375136911869, lr = [1.25e-05] +[2024-05-26 11:47:44,928] - INFO: Epoch 2543/9999, Iter 254240: Loss = 0.006715010851621628, lr = [1.25e-05] +[2024-05-26 11:48:12,104] - INFO: Epoch 2543/9999, Iter 254280: Loss = 0.011480587534606457, lr = [1.25e-05] +[2024-05-26 11:48:40,837] - INFO: Epoch 2544/9999, Iter 254320: Loss = 0.01718192920088768, lr = [1.25e-05] +[2024-05-26 11:49:08,059] - INFO: Epoch 2544/9999, Iter 254360: Loss = 0.006853211205452681, lr = [1.25e-05] +[2024-05-26 11:49:36,688] - INFO: Epoch 2545/9999, Iter 254400: Loss = 0.014489940367639065, lr = [1.25e-05] +[2024-05-26 11:50:04,014] - INFO: Epoch 2545/9999, Iter 254440: Loss = 0.011642931029200554, lr = [1.25e-05] +[2024-05-26 11:50:31,219] - INFO: Epoch 2545/9999, Iter 254480: Loss = 0.006980496924370527, lr = [1.25e-05] +[2024-05-26 11:50:44,532] - INFO: Evaluate at epoch 2545! +[2024-05-26 11:50:49,169] - INFO: Eval PSNR (max): 38.236 (2540) SSIM (max): 0.9617 (2525) +[2024-05-26 11:50:49,170] - INFO: Eval PSNR (current): 38.219 (2545) SSIM (current): 0.9617 (2545) +[2024-05-26 11:50:49,170] - INFO: Evaluation over. +[2024-05-26 11:51:09,884] - INFO: Epoch 2546/9999, Iter 254520: Loss = 0.008780582807958126, lr = [1.25e-05] +[2024-05-26 11:51:37,053] - INFO: Epoch 2546/9999, Iter 254560: Loss = 0.009191874414682388, lr = [1.25e-05] +[2024-05-26 11:52:05,759] - INFO: Epoch 2547/9999, Iter 254600: Loss = 0.01188479084521532, lr = [1.25e-05] +[2024-05-26 11:52:33,134] - INFO: Epoch 2547/9999, Iter 254640: Loss = 0.009433471597731113, lr = [1.25e-05] +[2024-05-26 11:53:00,338] - INFO: Epoch 2547/9999, Iter 254680: Loss = 0.011565676890313625, lr = [1.25e-05] +[2024-05-26 11:53:29,055] - INFO: Epoch 2548/9999, Iter 254720: Loss = 0.006750935222953558, lr = [1.25e-05] +[2024-05-26 11:53:56,206] - INFO: Epoch 2548/9999, Iter 254760: Loss = 0.01409093290567398, lr = [1.25e-05] +[2024-05-26 11:54:25,032] - INFO: Epoch 2549/9999, Iter 254800: Loss = 0.014758510515093803, lr = [1.25e-05] +[2024-05-26 11:54:52,358] - INFO: Epoch 2549/9999, Iter 254840: Loss = 0.008829360827803612, lr = [1.25e-05] +[2024-05-26 11:55:19,560] - INFO: Epoch 2549/9999, Iter 254880: Loss = 0.016049256548285484, lr = [1.25e-05] +[2024-05-26 11:55:48,232] - INFO: Epoch 2550/9999, Iter 254920: Loss = 0.014549566432833672, lr = [1.25e-05] +[2024-05-26 11:56:15,435] - INFO: Epoch 2550/9999, Iter 254960: Loss = 0.01028956938534975, lr = [1.25e-05] +[2024-05-26 11:56:42,438] - INFO: Evaluate at epoch 2550! +[2024-05-26 11:56:52,720] - INFO: Eval PSNR (max): 38.236 (2540) SSIM (max): 0.9617 (2550) +[2024-05-26 11:56:52,721] - INFO: Eval PSNR (current): 38.219 (2550) SSIM (current): 0.9617 (2550) +[2024-05-26 11:56:52,721] - INFO: Evaluation over. +[2024-05-26 11:56:59,601] - INFO: Epoch 2551/9999, Iter 255000: Loss = 0.014934301376342773, lr = [1.25e-05] +[2024-05-26 11:57:26,874] - INFO: Epoch 2551/9999, Iter 255040: Loss = 0.009122518822550774, lr = [1.25e-05] +[2024-05-26 11:57:54,074] - INFO: Epoch 2551/9999, Iter 255080: Loss = 0.011312478221952915, lr = [1.25e-05] +[2024-05-26 11:58:22,860] - INFO: Epoch 2552/9999, Iter 255120: Loss = 0.019921980798244476, lr = [1.25e-05] +[2024-05-26 11:58:50,047] - INFO: Epoch 2552/9999, Iter 255160: Loss = 0.012195219285786152, lr = [1.25e-05] +[2024-05-26 11:59:18,648] - INFO: Epoch 2553/9999, Iter 255200: Loss = 0.007356671150773764, lr = [1.25e-05] +[2024-05-26 11:59:45,968] - INFO: Epoch 2553/9999, Iter 255240: Loss = 0.029834318906068802, lr = [1.25e-05] +[2024-05-26 12:00:13,169] - INFO: Epoch 2553/9999, Iter 255280: Loss = 0.02466977946460247, lr = [1.25e-05] +[2024-05-26 12:00:41,815] - INFO: Epoch 2554/9999, Iter 255320: Loss = 0.01667255163192749, lr = [1.25e-05] +[2024-05-26 12:01:09,016] - INFO: Epoch 2554/9999, Iter 255360: Loss = 0.019346309825778008, lr = [1.25e-05] +[2024-05-26 12:01:37,775] - INFO: Epoch 2555/9999, Iter 255400: Loss = 0.015888795256614685, lr = [1.25e-05] +[2024-05-26 12:02:05,079] - INFO: Epoch 2555/9999, Iter 255440: Loss = 0.013965587131679058, lr = [1.25e-05] +[2024-05-26 12:02:32,327] - INFO: Epoch 2555/9999, Iter 255480: Loss = 0.022729942575097084, lr = [1.25e-05] +[2024-05-26 12:02:45,625] - INFO: Evaluate at epoch 2555! +[2024-05-26 12:02:50,101] - INFO: Eval PSNR (max): 38.236 (2540) SSIM (max): 0.9617 (2550) +[2024-05-26 12:02:50,101] - INFO: Eval PSNR (current): 38.213 (2555) SSIM (current): 0.9617 (2555) +[2024-05-26 12:02:50,101] - INFO: Evaluation over. +[2024-05-26 12:03:10,706] - INFO: Epoch 2556/9999, Iter 255520: Loss = 0.005339631345123053, lr = [1.25e-05] +[2024-05-26 12:03:37,918] - INFO: Epoch 2556/9999, Iter 255560: Loss = 0.0130767822265625, lr = [1.25e-05] +[2024-05-26 12:04:06,552] - INFO: Epoch 2557/9999, Iter 255600: Loss = 0.0064415400847792625, lr = [1.25e-05] +[2024-05-26 12:04:33,924] - INFO: Epoch 2557/9999, Iter 255640: Loss = 0.012847699224948883, lr = [1.25e-05] +[2024-05-26 12:05:01,137] - INFO: Epoch 2557/9999, Iter 255680: Loss = 0.009370613843202591, lr = [1.25e-05] +[2024-05-26 12:05:29,725] - INFO: Epoch 2558/9999, Iter 255720: Loss = 0.017573319375514984, lr = [1.25e-05] +[2024-05-26 12:05:56,933] - INFO: Epoch 2558/9999, Iter 255760: Loss = 0.016422785818576813, lr = [1.25e-05] +[2024-05-26 12:06:25,610] - INFO: Epoch 2559/9999, Iter 255800: Loss = 0.011895529925823212, lr = [1.25e-05] +[2024-05-26 12:06:52,829] - INFO: Epoch 2559/9999, Iter 255840: Loss = 0.016828441992402077, lr = [1.25e-05] +[2024-05-26 12:07:20,090] - INFO: Epoch 2559/9999, Iter 255880: Loss = 0.009028450585901737, lr = [1.25e-05] +[2024-05-26 12:07:48,743] - INFO: Epoch 2560/9999, Iter 255920: Loss = 0.01640467904508114, lr = [1.25e-05] +[2024-05-26 12:08:16,074] - INFO: Epoch 2560/9999, Iter 255960: Loss = 0.010082148015499115, lr = [1.25e-05] +[2024-05-26 12:08:42,987] - INFO: Evaluate at epoch 2560! +[2024-05-26 12:08:47,590] - INFO: Eval PSNR (max): 38.236 (2540) SSIM (max): 0.9617 (2550) +[2024-05-26 12:08:47,591] - INFO: Eval PSNR (current): 38.220 (2560) SSIM (current): 0.9616 (2560) +[2024-05-26 12:08:47,591] - INFO: Evaluation over. +[2024-05-26 12:08:54,434] - INFO: Epoch 2561/9999, Iter 256000: Loss = 0.015107796527445316, lr = [1.25e-05] +[2024-05-26 12:09:21,718] - INFO: Epoch 2561/9999, Iter 256040: Loss = 0.011223874054849148, lr = [1.25e-05] +[2024-05-26 12:09:48,948] - INFO: Epoch 2561/9999, Iter 256080: Loss = 0.012634847313165665, lr = [1.25e-05] +[2024-05-26 12:10:17,610] - INFO: Epoch 2562/9999, Iter 256120: Loss = 0.016182828694581985, lr = [1.25e-05] +[2024-05-26 12:10:44,829] - INFO: Epoch 2562/9999, Iter 256160: Loss = 0.01534632034599781, lr = [1.25e-05] +[2024-05-26 12:11:13,614] - INFO: Epoch 2563/9999, Iter 256200: Loss = 0.019569428637623787, lr = [1.25e-05] +[2024-05-26 12:11:41,000] - INFO: Epoch 2563/9999, Iter 256240: Loss = 0.010768251493573189, lr = [1.25e-05] +[2024-05-26 12:12:10,296] - INFO: Epoch 2563/9999, Iter 256280: Loss = 0.019038425758481026, lr = [1.25e-05] +[2024-05-26 12:12:44,030] - INFO: Epoch 2564/9999, Iter 256320: Loss = 0.009664916433393955, lr = [1.25e-05] +[2024-05-26 12:13:11,314] - INFO: Epoch 2564/9999, Iter 256360: Loss = 0.01202963013201952, lr = [1.25e-05] +[2024-05-26 12:13:43,332] - INFO: Epoch 2565/9999, Iter 256400: Loss = 0.007524037733674049, lr = [1.25e-05] +[2024-05-26 12:14:10,665] - INFO: Epoch 2565/9999, Iter 256440: Loss = 0.012351442128419876, lr = [1.25e-05] +[2024-05-26 12:14:39,702] - INFO: Epoch 2565/9999, Iter 256480: Loss = 0.013116017915308475, lr = [1.25e-05] +[2024-05-26 12:14:53,391] - INFO: Evaluate at epoch 2565! +[2024-05-26 12:14:58,076] - INFO: Eval PSNR (max): 38.236 (2540) SSIM (max): 0.9617 (2550) +[2024-05-26 12:14:58,077] - INFO: Eval PSNR (current): 38.217 (2565) SSIM (current): 0.9617 (2565) +[2024-05-26 12:14:58,077] - INFO: Evaluation over. +[2024-05-26 12:15:22,551] - INFO: Epoch 2566/9999, Iter 256520: Loss = 0.011445687152445316, lr = [1.25e-05] +[2024-05-26 12:15:49,896] - INFO: Epoch 2566/9999, Iter 256560: Loss = 0.012370429001748562, lr = [1.25e-05] +[2024-05-26 12:16:20,620] - INFO: Epoch 2567/9999, Iter 256600: Loss = 0.010295713320374489, lr = [1.25e-05] +[2024-05-26 12:16:47,855] - INFO: Epoch 2567/9999, Iter 256640: Loss = 0.01418391801416874, lr = [1.25e-05] +[2024-05-26 12:17:15,227] - INFO: Epoch 2567/9999, Iter 256680: Loss = 0.017274780198931694, lr = [1.25e-05] +[2024-05-26 12:17:43,723] - INFO: Epoch 2568/9999, Iter 256720: Loss = 0.014700112864375114, lr = [1.25e-05] +[2024-05-26 12:18:11,665] - INFO: Epoch 2568/9999, Iter 256760: Loss = 0.010055025108158588, lr = [1.25e-05] +[2024-05-26 12:18:40,412] - INFO: Epoch 2569/9999, Iter 256800: Loss = 0.006538291461765766, lr = [1.25e-05] +[2024-05-26 12:19:07,686] - INFO: Epoch 2569/9999, Iter 256840: Loss = 0.008068554103374481, lr = [1.25e-05] +[2024-05-26 12:19:34,905] - INFO: Epoch 2569/9999, Iter 256880: Loss = 0.01012768130749464, lr = [1.25e-05] +[2024-05-26 12:20:03,563] - INFO: Epoch 2570/9999, Iter 256920: Loss = 0.004143148194998503, lr = [1.25e-05] +[2024-05-26 12:20:30,731] - INFO: Epoch 2570/9999, Iter 256960: Loss = 0.008298659697175026, lr = [1.25e-05] +[2024-05-26 12:20:57,698] - INFO: Evaluate at epoch 2570! +[2024-05-26 12:21:02,401] - INFO: Eval PSNR (max): 38.236 (2540) SSIM (max): 0.9617 (2550) +[2024-05-26 12:21:02,401] - INFO: Eval PSNR (current): 38.197 (2570) SSIM (current): 0.9616 (2570) +[2024-05-26 12:21:02,401] - INFO: Evaluation over. +[2024-05-26 12:21:09,223] - INFO: Epoch 2571/9999, Iter 257000: Loss = 0.014236337505280972, lr = [1.25e-05] +[2024-05-26 12:21:36,457] - INFO: Epoch 2571/9999, Iter 257040: Loss = 0.012165273539721966, lr = [1.25e-05] +[2024-05-26 12:22:03,729] - INFO: Epoch 2571/9999, Iter 257080: Loss = 0.01495358720421791, lr = [1.25e-05] +[2024-05-26 12:22:32,352] - INFO: Epoch 2572/9999, Iter 257120: Loss = 0.013183660805225372, lr = [1.25e-05] +[2024-05-26 12:22:59,547] - INFO: Epoch 2572/9999, Iter 257160: Loss = 0.014634525403380394, lr = [1.25e-05] +[2024-05-26 12:23:28,247] - INFO: Epoch 2573/9999, Iter 257200: Loss = 0.011430703103542328, lr = [1.25e-05] +[2024-05-26 12:23:55,563] - INFO: Epoch 2573/9999, Iter 257240: Loss = 0.014153922908008099, lr = [1.25e-05] +[2024-05-26 12:24:22,744] - INFO: Epoch 2573/9999, Iter 257280: Loss = 0.013426206074655056, lr = [1.25e-05] +[2024-05-26 12:24:51,370] - INFO: Epoch 2574/9999, Iter 257320: Loss = 0.01606765203177929, lr = [1.25e-05] +[2024-05-26 12:25:18,605] - INFO: Epoch 2574/9999, Iter 257360: Loss = 0.020599255338311195, lr = [1.25e-05] +[2024-05-26 12:25:47,042] - INFO: Epoch 2575/9999, Iter 257400: Loss = 0.01516947615891695, lr = [1.25e-05] +[2024-05-26 12:26:14,341] - INFO: Epoch 2575/9999, Iter 257440: Loss = 0.016067735850811005, lr = [1.25e-05] +[2024-05-26 12:26:41,584] - INFO: Epoch 2575/9999, Iter 257480: Loss = 0.011311870999634266, lr = [1.25e-05] +[2024-05-26 12:26:54,911] - INFO: Evaluate at epoch 2575! +[2024-05-26 12:26:59,528] - INFO: Eval PSNR (max): 38.236 (2540) SSIM (max): 0.9617 (2550) +[2024-05-26 12:26:59,529] - INFO: Eval PSNR (current): 38.203 (2575) SSIM (current): 0.9616 (2575) +[2024-05-26 12:26:59,529] - INFO: Evaluation over. +[2024-05-26 12:27:20,020] - INFO: Epoch 2576/9999, Iter 257520: Loss = 0.014478074386715889, lr = [1.25e-05] +[2024-05-26 12:27:47,319] - INFO: Epoch 2576/9999, Iter 257560: Loss = 0.008243605494499207, lr = [1.25e-05] +[2024-05-26 12:28:15,989] - INFO: Epoch 2577/9999, Iter 257600: Loss = 0.013445580378174782, lr = [1.25e-05] +[2024-05-26 12:28:43,275] - INFO: Epoch 2577/9999, Iter 257640: Loss = 0.012918566353619099, lr = [1.25e-05] +[2024-05-26 12:29:10,501] - INFO: Epoch 2577/9999, Iter 257680: Loss = 0.013147840276360512, lr = [1.25e-05] +[2024-05-26 12:29:39,038] - INFO: Epoch 2578/9999, Iter 257720: Loss = 0.018147112801671028, lr = [1.25e-05] +[2024-05-26 12:30:06,354] - INFO: Epoch 2578/9999, Iter 257760: Loss = 0.006157848984003067, lr = [1.25e-05] +[2024-05-26 12:30:35,009] - INFO: Epoch 2579/9999, Iter 257800: Loss = 0.012752399779856205, lr = [1.25e-05] +[2024-05-26 12:31:02,338] - INFO: Epoch 2579/9999, Iter 257840: Loss = 0.019613120704889297, lr = [1.25e-05] +[2024-05-26 12:31:29,657] - INFO: Epoch 2579/9999, Iter 257880: Loss = 0.009472418576478958, lr = [1.25e-05] +[2024-05-26 12:31:58,197] - INFO: Epoch 2580/9999, Iter 257920: Loss = 0.01190309226512909, lr = [1.25e-05] +[2024-05-26 12:32:25,419] - INFO: Epoch 2580/9999, Iter 257960: Loss = 0.00685386685654521, lr = [1.25e-05] +[2024-05-26 12:32:52,419] - INFO: Evaluate at epoch 2580! +[2024-05-26 12:32:57,014] - INFO: Eval PSNR (max): 38.236 (2540) SSIM (max): 0.9617 (2550) +[2024-05-26 12:32:57,015] - INFO: Eval PSNR (current): 38.215 (2580) SSIM (current): 0.9616 (2580) +[2024-05-26 12:32:57,015] - INFO: Evaluation over. +[2024-05-26 12:33:03,899] - INFO: Epoch 2581/9999, Iter 258000: Loss = 0.007518830243498087, lr = [1.25e-05] +[2024-05-26 12:33:31,211] - INFO: Epoch 2581/9999, Iter 258040: Loss = 0.007815645076334476, lr = [1.25e-05] +[2024-05-26 12:33:58,465] - INFO: Epoch 2581/9999, Iter 258080: Loss = 0.0083225192502141, lr = [1.25e-05] +[2024-05-26 12:34:27,191] - INFO: Epoch 2582/9999, Iter 258120: Loss = 0.006262989714741707, lr = [1.25e-05] +[2024-05-26 12:34:54,462] - INFO: Epoch 2582/9999, Iter 258160: Loss = 0.01262432336807251, lr = [1.25e-05] +[2024-05-26 12:35:22,931] - INFO: Epoch 2583/9999, Iter 258200: Loss = 0.009239853359758854, lr = [1.25e-05] +[2024-05-26 12:35:50,280] - INFO: Epoch 2583/9999, Iter 258240: Loss = 0.011137052439153194, lr = [1.25e-05] +[2024-05-26 12:36:17,469] - INFO: Epoch 2583/9999, Iter 258280: Loss = 0.011593262664973736, lr = [1.25e-05] +[2024-05-26 12:36:46,050] - INFO: Epoch 2584/9999, Iter 258320: Loss = 0.013482038863003254, lr = [1.25e-05] +[2024-05-26 12:37:13,302] - INFO: Epoch 2584/9999, Iter 258360: Loss = 0.011388740502297878, lr = [1.25e-05] +[2024-05-26 12:37:41,880] - INFO: Epoch 2585/9999, Iter 258400: Loss = 0.012987249530851841, lr = [1.25e-05] +[2024-05-26 12:38:09,194] - INFO: Epoch 2585/9999, Iter 258440: Loss = 0.011192085221409798, lr = [1.25e-05] +[2024-05-26 12:38:36,454] - INFO: Epoch 2585/9999, Iter 258480: Loss = 0.006974390707910061, lr = [1.25e-05] +[2024-05-26 12:38:49,778] - INFO: Evaluate at epoch 2585! +[2024-05-26 12:38:54,451] - INFO: Eval PSNR (max): 38.236 (2540) SSIM (max): 0.9617 (2550) +[2024-05-26 12:38:54,451] - INFO: Eval PSNR (current): 38.208 (2585) SSIM (current): 0.9616 (2585) +[2024-05-26 12:38:54,451] - INFO: Evaluation over. +[2024-05-26 12:39:15,008] - INFO: Epoch 2586/9999, Iter 258520: Loss = 0.013857811689376831, lr = [1.25e-05] +[2024-05-26 12:39:42,250] - INFO: Epoch 2586/9999, Iter 258560: Loss = 0.008290457539260387, lr = [1.25e-05] +[2024-05-26 12:40:11,076] - INFO: Epoch 2587/9999, Iter 258600: Loss = 0.011060639284551144, lr = [1.25e-05] +[2024-05-26 12:40:38,359] - INFO: Epoch 2587/9999, Iter 258640: Loss = 0.021927742287516594, lr = [1.25e-05] +[2024-05-26 12:41:05,605] - INFO: Epoch 2587/9999, Iter 258680: Loss = 0.007370414212346077, lr = [1.25e-05] +[2024-05-26 12:41:34,257] - INFO: Epoch 2588/9999, Iter 258720: Loss = 0.007586081512272358, lr = [1.25e-05] +[2024-05-26 12:42:01,444] - INFO: Epoch 2588/9999, Iter 258760: Loss = 0.005453350488096476, lr = [1.25e-05] +[2024-05-26 12:42:30,103] - INFO: Epoch 2589/9999, Iter 258800: Loss = 0.01128376740962267, lr = [1.25e-05] +[2024-05-26 12:42:57,467] - INFO: Epoch 2589/9999, Iter 258840: Loss = 0.021520543843507767, lr = [1.25e-05] +[2024-05-26 12:43:24,660] - INFO: Epoch 2589/9999, Iter 258880: Loss = 0.013501258566975594, lr = [1.25e-05] +[2024-05-26 12:43:53,446] - INFO: Epoch 2590/9999, Iter 258920: Loss = 0.0065544419921934605, lr = [1.25e-05] +[2024-05-26 12:44:20,676] - INFO: Epoch 2590/9999, Iter 258960: Loss = 0.015103861689567566, lr = [1.25e-05] +[2024-05-26 12:44:47,606] - INFO: Evaluate at epoch 2590! +[2024-05-26 12:44:52,223] - INFO: Eval PSNR (max): 38.236 (2540) SSIM (max): 0.9617 (2550) +[2024-05-26 12:44:52,223] - INFO: Eval PSNR (current): 38.212 (2590) SSIM (current): 0.9617 (2590) +[2024-05-26 12:44:52,223] - INFO: Evaluation over. +[2024-05-26 12:44:59,134] - INFO: Epoch 2591/9999, Iter 259000: Loss = 0.01039181463420391, lr = [1.25e-05] +[2024-05-26 12:45:26,420] - INFO: Epoch 2591/9999, Iter 259040: Loss = 0.008864026516675949, lr = [1.25e-05] +[2024-05-26 12:45:53,573] - INFO: Epoch 2591/9999, Iter 259080: Loss = 0.011053134687244892, lr = [1.25e-05] +[2024-05-26 12:46:22,131] - INFO: Epoch 2592/9999, Iter 259120: Loss = 0.010940156877040863, lr = [1.25e-05] +[2024-05-26 12:46:49,301] - INFO: Epoch 2592/9999, Iter 259160: Loss = 0.010520339012145996, lr = [1.25e-05] +[2024-05-26 12:47:17,960] - INFO: Epoch 2593/9999, Iter 259200: Loss = 0.00840090587735176, lr = [1.25e-05] +[2024-05-26 12:47:45,326] - INFO: Epoch 2593/9999, Iter 259240: Loss = 0.008125257678329945, lr = [1.25e-05] +[2024-05-26 12:48:12,500] - INFO: Epoch 2593/9999, Iter 259280: Loss = 0.01581486314535141, lr = [1.25e-05] +[2024-05-26 12:48:41,207] - INFO: Epoch 2594/9999, Iter 259320: Loss = 0.01173056848347187, lr = [1.25e-05] +[2024-05-26 12:49:08,406] - INFO: Epoch 2594/9999, Iter 259360: Loss = 0.008998213335871696, lr = [1.25e-05] +[2024-05-26 12:49:37,120] - INFO: Epoch 2595/9999, Iter 259400: Loss = 0.02004811353981495, lr = [1.25e-05] +[2024-05-26 12:50:04,378] - INFO: Epoch 2595/9999, Iter 259440: Loss = 0.01381018478423357, lr = [1.25e-05] +[2024-05-26 12:50:31,592] - INFO: Epoch 2595/9999, Iter 259480: Loss = 0.014984122477471828, lr = [1.25e-05] +[2024-05-26 12:50:44,876] - INFO: Evaluate at epoch 2595! +[2024-05-26 12:50:49,492] - INFO: Eval PSNR (max): 38.236 (2540) SSIM (max): 0.9617 (2550) +[2024-05-26 12:50:49,492] - INFO: Eval PSNR (current): 38.212 (2595) SSIM (current): 0.9617 (2595) +[2024-05-26 12:50:49,493] - INFO: Evaluation over. +[2024-05-26 12:51:09,982] - INFO: Epoch 2596/9999, Iter 259520: Loss = 0.01858755759894848, lr = [1.25e-05] +[2024-05-26 12:51:37,162] - INFO: Epoch 2596/9999, Iter 259560: Loss = 0.009728074073791504, lr = [1.25e-05] +[2024-05-26 12:52:05,831] - INFO: Epoch 2597/9999, Iter 259600: Loss = 0.01606837660074234, lr = [1.25e-05] +[2024-05-26 12:52:33,036] - INFO: Epoch 2597/9999, Iter 259640: Loss = 0.010415120981633663, lr = [1.25e-05] +[2024-05-26 12:53:00,268] - INFO: Epoch 2597/9999, Iter 259680: Loss = 0.017619933933019638, lr = [1.25e-05] +[2024-05-26 12:53:28,970] - INFO: Epoch 2598/9999, Iter 259720: Loss = 0.007947025820612907, lr = [1.25e-05] +[2024-05-26 12:53:56,147] - INFO: Epoch 2598/9999, Iter 259760: Loss = 0.016309240832924843, lr = [1.25e-05] +[2024-05-26 12:54:24,513] - INFO: Epoch 2599/9999, Iter 259800: Loss = 0.018965501338243484, lr = [1.25e-05] +[2024-05-26 12:54:51,807] - INFO: Epoch 2599/9999, Iter 259840: Loss = 0.009176503866910934, lr = [1.25e-05] +[2024-05-26 12:55:19,008] - INFO: Epoch 2599/9999, Iter 259880: Loss = 0.014059812761843204, lr = [1.25e-05] +[2024-05-26 12:55:47,546] - INFO: Epoch 2600/9999, Iter 259920: Loss = 0.011742194183170795, lr = [1.25e-05] +[2024-05-26 12:56:14,822] - INFO: Epoch 2600/9999, Iter 259960: Loss = 0.008942864835262299, lr = [1.25e-05] +[2024-05-26 12:56:41,678] - INFO: Evaluate at epoch 2600! +[2024-05-26 12:56:51,521] - INFO: Eval PSNR (max): 38.236 (2540) SSIM (max): 0.9617 (2600) +[2024-05-26 12:56:51,521] - INFO: Eval PSNR (current): 38.222 (2600) SSIM (current): 0.9617 (2600) +[2024-05-26 12:56:51,521] - INFO: Evaluation over. +[2024-05-26 12:56:58,411] - INFO: Epoch 2601/9999, Iter 260000: Loss = 0.01123989187180996, lr = [1.25e-05] +[2024-05-26 12:57:25,717] - INFO: Epoch 2601/9999, Iter 260040: Loss = 0.005905776284635067, lr = [1.25e-05] +[2024-05-26 12:57:52,917] - INFO: Epoch 2601/9999, Iter 260080: Loss = 0.011784967966377735, lr = [1.25e-05] +[2024-05-26 12:58:21,592] - INFO: Epoch 2602/9999, Iter 260120: Loss = 0.006685044150799513, lr = [1.25e-05] +[2024-05-26 12:58:48,813] - INFO: Epoch 2602/9999, Iter 260160: Loss = 0.010458908975124359, lr = [1.25e-05] +[2024-05-26 12:59:17,382] - INFO: Epoch 2603/9999, Iter 260200: Loss = 0.011058444157242775, lr = [1.25e-05] +[2024-05-26 12:59:44,697] - INFO: Epoch 2603/9999, Iter 260240: Loss = 0.01614055410027504, lr = [1.25e-05] +[2024-05-26 13:00:11,942] - INFO: Epoch 2603/9999, Iter 260280: Loss = 0.015050319023430347, lr = [1.25e-05] +[2024-05-26 13:00:40,598] - INFO: Epoch 2604/9999, Iter 260320: Loss = 0.01568947546184063, lr = [1.25e-05] +[2024-05-26 13:01:07,785] - INFO: Epoch 2604/9999, Iter 260360: Loss = 0.009719787165522575, lr = [1.25e-05] +[2024-05-26 13:01:36,204] - INFO: Epoch 2605/9999, Iter 260400: Loss = 0.024300910532474518, lr = [1.25e-05] +[2024-05-26 13:02:03,484] - INFO: Epoch 2605/9999, Iter 260440: Loss = 0.010380057618021965, lr = [1.25e-05] +[2024-05-26 13:02:30,793] - INFO: Epoch 2605/9999, Iter 260480: Loss = 0.009777729399502277, lr = [1.25e-05] +[2024-05-26 13:02:44,078] - INFO: Evaluate at epoch 2605! +[2024-05-26 13:02:48,714] - INFO: Eval PSNR (max): 38.236 (2540) SSIM (max): 0.9617 (2600) +[2024-05-26 13:02:48,714] - INFO: Eval PSNR (current): 38.234 (2605) SSIM (current): 0.9617 (2605) +[2024-05-26 13:02:48,714] - INFO: Evaluation over. +[2024-05-26 13:03:09,192] - INFO: Epoch 2606/9999, Iter 260520: Loss = 0.013582115061581135, lr = [1.25e-05] +[2024-05-26 13:03:36,340] - INFO: Epoch 2606/9999, Iter 260560: Loss = 0.012444091029465199, lr = [1.25e-05] +[2024-05-26 13:04:04,880] - INFO: Epoch 2607/9999, Iter 260600: Loss = 0.014374958351254463, lr = [1.25e-05] +[2024-05-26 13:04:32,199] - INFO: Epoch 2607/9999, Iter 260640: Loss = 0.011816158890724182, lr = [1.25e-05] +[2024-05-26 13:04:59,447] - INFO: Epoch 2607/9999, Iter 260680: Loss = 0.012078766711056232, lr = [1.25e-05] +[2024-05-26 13:05:28,249] - INFO: Epoch 2608/9999, Iter 260720: Loss = 0.008298774249851704, lr = [1.25e-05] +[2024-05-26 13:05:55,443] - INFO: Epoch 2608/9999, Iter 260760: Loss = 0.01248962339013815, lr = [1.25e-05] +[2024-05-26 13:06:24,264] - INFO: Epoch 2609/9999, Iter 260800: Loss = 0.018113048747181892, lr = [1.25e-05] +[2024-05-26 13:06:51,613] - INFO: Epoch 2609/9999, Iter 260840: Loss = 0.010192500427365303, lr = [1.25e-05] +[2024-05-26 13:07:18,787] - INFO: Epoch 2609/9999, Iter 260880: Loss = 0.00748866144567728, lr = [1.25e-05] +[2024-05-26 13:07:47,462] - INFO: Epoch 2610/9999, Iter 260920: Loss = 0.011096371337771416, lr = [1.25e-05] +[2024-05-26 13:08:14,687] - INFO: Epoch 2610/9999, Iter 260960: Loss = 0.010102258995175362, lr = [1.25e-05] +[2024-05-26 13:08:41,834] - INFO: Evaluate at epoch 2610! +[2024-05-26 13:08:46,537] - INFO: Eval PSNR (max): 38.236 (2540) SSIM (max): 0.9617 (2600) +[2024-05-26 13:08:46,538] - INFO: Eval PSNR (current): 38.232 (2610) SSIM (current): 0.9616 (2610) +[2024-05-26 13:08:46,538] - INFO: Evaluation over. +[2024-05-26 13:08:56,940] - INFO: Epoch 2611/9999, Iter 261000: Loss = 0.010946176946163177, lr = [1.25e-05] +[2024-05-26 13:09:24,199] - INFO: Epoch 2611/9999, Iter 261040: Loss = 0.005696178413927555, lr = [1.25e-05] +[2024-05-26 13:09:51,572] - INFO: Epoch 2611/9999, Iter 261080: Loss = 0.006127928849309683, lr = [1.25e-05] +[2024-05-26 13:10:20,066] - INFO: Epoch 2612/9999, Iter 261120: Loss = 0.01203134749084711, lr = [1.25e-05] +[2024-05-26 13:10:47,179] - INFO: Epoch 2612/9999, Iter 261160: Loss = 0.010339593514800072, lr = [1.25e-05] +[2024-05-26 13:11:15,840] - INFO: Epoch 2613/9999, Iter 261200: Loss = 0.008237817324697971, lr = [1.25e-05] +[2024-05-26 13:11:43,207] - INFO: Epoch 2613/9999, Iter 261240: Loss = 0.008813838474452496, lr = [1.25e-05] +[2024-05-26 13:12:10,370] - INFO: Epoch 2613/9999, Iter 261280: Loss = 0.010199938900768757, lr = [1.25e-05] +[2024-05-26 13:12:39,277] - INFO: Epoch 2614/9999, Iter 261320: Loss = 0.01994556002318859, lr = [1.25e-05] +[2024-05-26 13:13:06,478] - INFO: Epoch 2614/9999, Iter 261360: Loss = 0.016350284218788147, lr = [1.25e-05] +[2024-05-26 13:13:35,117] - INFO: Epoch 2615/9999, Iter 261400: Loss = 0.012564362026751041, lr = [1.25e-05] +[2024-05-26 13:14:02,386] - INFO: Epoch 2615/9999, Iter 261440: Loss = 0.011464197188615799, lr = [1.25e-05] +[2024-05-26 13:14:29,606] - INFO: Epoch 2615/9999, Iter 261480: Loss = 0.008971260860562325, lr = [1.25e-05] +[2024-05-26 13:14:42,881] - INFO: Evaluate at epoch 2615! +[2024-05-26 13:14:47,507] - INFO: Eval PSNR (max): 38.236 (2540) SSIM (max): 0.9617 (2600) +[2024-05-26 13:14:47,507] - INFO: Eval PSNR (current): 38.199 (2615) SSIM (current): 0.9616 (2615) +[2024-05-26 13:14:47,507] - INFO: Evaluation over. +[2024-05-26 13:15:08,682] - INFO: Epoch 2616/9999, Iter 261520: Loss = 0.013592543080449104, lr = [1.25e-05] +[2024-05-26 13:15:35,931] - INFO: Epoch 2616/9999, Iter 261560: Loss = 0.012553049251437187, lr = [1.25e-05] +[2024-05-26 13:16:04,461] - INFO: Epoch 2617/9999, Iter 261600: Loss = 0.012970644049346447, lr = [1.25e-05] +[2024-05-26 13:16:31,770] - INFO: Epoch 2617/9999, Iter 261640: Loss = 0.009116742759943008, lr = [1.25e-05] +[2024-05-26 13:16:58,909] - INFO: Epoch 2617/9999, Iter 261680: Loss = 0.015976401045918465, lr = [1.25e-05] +[2024-05-26 13:17:27,516] - INFO: Epoch 2618/9999, Iter 261720: Loss = 0.011734165251255035, lr = [1.25e-05] +[2024-05-26 13:17:54,726] - INFO: Epoch 2618/9999, Iter 261760: Loss = 0.018586978316307068, lr = [1.25e-05] +[2024-05-26 13:18:23,432] - INFO: Epoch 2619/9999, Iter 261800: Loss = 0.014940767548978329, lr = [1.25e-05] +[2024-05-26 13:18:50,760] - INFO: Epoch 2619/9999, Iter 261840: Loss = 0.013318088836967945, lr = [1.25e-05] +[2024-05-26 13:19:17,895] - INFO: Epoch 2619/9999, Iter 261880: Loss = 0.009834574535489082, lr = [1.25e-05] +[2024-05-26 13:19:46,431] - INFO: Epoch 2620/9999, Iter 261920: Loss = 0.015369920991361141, lr = [1.25e-05] +[2024-05-26 13:20:13,567] - INFO: Epoch 2620/9999, Iter 261960: Loss = 0.008860481902956963, lr = [1.25e-05] +[2024-05-26 13:20:40,507] - INFO: Evaluate at epoch 2620! +[2024-05-26 13:20:45,045] - INFO: Eval PSNR (max): 38.236 (2540) SSIM (max): 0.9617 (2600) +[2024-05-26 13:20:45,046] - INFO: Eval PSNR (current): 38.226 (2620) SSIM (current): 0.9617 (2620) +[2024-05-26 13:20:45,046] - INFO: Evaluation over. +[2024-05-26 13:20:51,720] - INFO: Epoch 2621/9999, Iter 262000: Loss = 0.022724248468875885, lr = [1.25e-05] +[2024-05-26 13:21:18,956] - INFO: Epoch 2621/9999, Iter 262040: Loss = 0.01078046765178442, lr = [1.25e-05] +[2024-05-26 13:21:46,129] - INFO: Epoch 2621/9999, Iter 262080: Loss = 0.015325621701776981, lr = [1.25e-05] +[2024-05-26 13:22:14,942] - INFO: Epoch 2622/9999, Iter 262120: Loss = 0.018241355195641518, lr = [1.25e-05] +[2024-05-26 13:22:42,194] - INFO: Epoch 2622/9999, Iter 262160: Loss = 0.009263754822313786, lr = [1.25e-05] +[2024-05-26 13:23:10,712] - INFO: Epoch 2623/9999, Iter 262200: Loss = 0.008887095376849174, lr = [1.25e-05] +[2024-05-26 13:23:38,034] - INFO: Epoch 2623/9999, Iter 262240: Loss = 0.011636788956820965, lr = [1.25e-05] +[2024-05-26 13:24:05,194] - INFO: Epoch 2623/9999, Iter 262280: Loss = 0.017338577657938004, lr = [1.25e-05] +[2024-05-26 13:24:33,805] - INFO: Epoch 2624/9999, Iter 262320: Loss = 0.013781951740384102, lr = [1.25e-05] +[2024-05-26 13:25:00,910] - INFO: Epoch 2624/9999, Iter 262360: Loss = 0.017693396657705307, lr = [1.25e-05] +[2024-05-26 13:25:29,425] - INFO: Epoch 2625/9999, Iter 262400: Loss = 0.01031891442835331, lr = [1.25e-05] +[2024-05-26 13:25:56,736] - INFO: Epoch 2625/9999, Iter 262440: Loss = 0.012315163388848305, lr = [1.25e-05] +[2024-05-26 13:26:23,926] - INFO: Epoch 2625/9999, Iter 262480: Loss = 0.01674461178481579, lr = [1.25e-05] +[2024-05-26 13:26:37,209] - INFO: Evaluate at epoch 2625! +[2024-05-26 13:26:41,819] - INFO: Eval PSNR (max): 38.236 (2540) SSIM (max): 0.9617 (2600) +[2024-05-26 13:26:41,820] - INFO: Eval PSNR (current): 38.222 (2625) SSIM (current): 0.9617 (2625) +[2024-05-26 13:26:41,820] - INFO: Evaluation over. +[2024-05-26 13:27:02,502] - INFO: Epoch 2626/9999, Iter 262520: Loss = 0.009669939987361431, lr = [1.25e-05] +[2024-05-26 13:27:29,629] - INFO: Epoch 2626/9999, Iter 262560: Loss = 0.010485428385436535, lr = [1.25e-05] +[2024-05-26 13:27:58,273] - INFO: Epoch 2627/9999, Iter 262600: Loss = 0.008532507345080376, lr = [1.25e-05] +[2024-05-26 13:28:25,585] - INFO: Epoch 2627/9999, Iter 262640: Loss = 0.007897925563156605, lr = [1.25e-05] +[2024-05-26 13:28:52,799] - INFO: Epoch 2627/9999, Iter 262680: Loss = 0.014186356216669083, lr = [1.25e-05] +[2024-05-26 13:29:21,515] - INFO: Epoch 2628/9999, Iter 262720: Loss = 0.011869805864989758, lr = [1.25e-05] +[2024-05-26 13:29:48,755] - INFO: Epoch 2628/9999, Iter 262760: Loss = 0.0132870739325881, lr = [1.25e-05] +[2024-05-26 13:30:17,225] - INFO: Epoch 2629/9999, Iter 262800: Loss = 0.012052364647388458, lr = [1.25e-05] +[2024-05-26 13:30:44,625] - INFO: Epoch 2629/9999, Iter 262840: Loss = 0.00715184211730957, lr = [1.25e-05] +[2024-05-26 13:31:11,879] - INFO: Epoch 2629/9999, Iter 262880: Loss = 0.010751796886324883, lr = [1.25e-05] +[2024-05-26 13:31:40,679] - INFO: Epoch 2630/9999, Iter 262920: Loss = 0.006367077585309744, lr = [1.25e-05] +[2024-05-26 13:32:07,859] - INFO: Epoch 2630/9999, Iter 262960: Loss = 0.014652696438133717, lr = [1.25e-05] +[2024-05-26 13:32:34,727] - INFO: Evaluate at epoch 2630! +[2024-05-26 13:32:44,793] - INFO: Eval PSNR (max): 38.236 (2540) SSIM (max): 0.9617 (2630) +[2024-05-26 13:32:44,793] - INFO: Eval PSNR (current): 38.220 (2630) SSIM (current): 0.9617 (2630) +[2024-05-26 13:32:44,793] - INFO: Evaluation over. +[2024-05-26 13:32:51,523] - INFO: Epoch 2631/9999, Iter 263000: Loss = 0.009217411279678345, lr = [1.25e-05] +[2024-05-26 13:33:18,790] - INFO: Epoch 2631/9999, Iter 263040: Loss = 0.010909322649240494, lr = [1.25e-05] +[2024-05-26 13:33:46,007] - INFO: Epoch 2631/9999, Iter 263080: Loss = 0.006609618663787842, lr = [1.25e-05] +[2024-05-26 13:34:14,613] - INFO: Epoch 2632/9999, Iter 263120: Loss = 0.014677989296615124, lr = [1.25e-05] +[2024-05-26 13:34:41,842] - INFO: Epoch 2632/9999, Iter 263160: Loss = 0.01722681149840355, lr = [1.25e-05] +[2024-05-26 13:35:10,496] - INFO: Epoch 2633/9999, Iter 263200: Loss = 0.010171795263886452, lr = [1.25e-05] +[2024-05-26 13:35:37,779] - INFO: Epoch 2633/9999, Iter 263240: Loss = 0.00884335208684206, lr = [1.25e-05] +[2024-05-26 13:36:04,986] - INFO: Epoch 2633/9999, Iter 263280: Loss = 0.014991248026490211, lr = [1.25e-05] +[2024-05-26 13:36:33,543] - INFO: Epoch 2634/9999, Iter 263320: Loss = 0.010843689553439617, lr = [1.25e-05] +[2024-05-26 13:37:00,738] - INFO: Epoch 2634/9999, Iter 263360: Loss = 0.0260222926735878, lr = [1.25e-05] +[2024-05-26 13:37:29,092] - INFO: Epoch 2635/9999, Iter 263400: Loss = 0.014137501828372478, lr = [1.25e-05] +[2024-05-26 13:37:56,390] - INFO: Epoch 2635/9999, Iter 263440: Loss = 0.012195187620818615, lr = [1.25e-05] +[2024-05-26 13:38:23,559] - INFO: Epoch 2635/9999, Iter 263480: Loss = 0.012581776827573776, lr = [1.25e-05] +[2024-05-26 13:38:36,822] - INFO: Evaluate at epoch 2635! +[2024-05-26 13:38:41,565] - INFO: Eval PSNR (max): 38.236 (2540) SSIM (max): 0.9617 (2630) +[2024-05-26 13:38:41,565] - INFO: Eval PSNR (current): 38.209 (2635) SSIM (current): 0.9617 (2635) +[2024-05-26 13:38:41,565] - INFO: Evaluation over. +[2024-05-26 13:39:02,160] - INFO: Epoch 2636/9999, Iter 263520: Loss = 0.02323657087981701, lr = [1.25e-05] +[2024-05-26 13:39:29,377] - INFO: Epoch 2636/9999, Iter 263560: Loss = 0.01680040918290615, lr = [1.25e-05] +[2024-05-26 13:39:57,777] - INFO: Epoch 2637/9999, Iter 263600: Loss = 0.014843660406768322, lr = [1.25e-05] +[2024-05-26 13:40:24,967] - INFO: Epoch 2637/9999, Iter 263640: Loss = 0.012569096870720387, lr = [1.25e-05] +[2024-05-26 13:40:52,171] - INFO: Epoch 2637/9999, Iter 263680: Loss = 0.009933698922395706, lr = [1.25e-05] +[2024-05-26 13:41:20,999] - INFO: Epoch 2638/9999, Iter 263720: Loss = 0.015447231009602547, lr = [1.25e-05] +[2024-05-26 13:41:48,178] - INFO: Epoch 2638/9999, Iter 263760: Loss = 0.007068175822496414, lr = [1.25e-05] +[2024-05-26 13:42:16,745] - INFO: Epoch 2639/9999, Iter 263800: Loss = 0.011048044078052044, lr = [1.25e-05] +[2024-05-26 13:42:44,091] - INFO: Epoch 2639/9999, Iter 263840: Loss = 0.009377149865031242, lr = [1.25e-05] +[2024-05-26 13:43:11,281] - INFO: Epoch 2639/9999, Iter 263880: Loss = 0.018817881122231483, lr = [1.25e-05] +[2024-05-26 13:43:39,986] - INFO: Epoch 2640/9999, Iter 263920: Loss = 0.013301488943397999, lr = [1.25e-05] +[2024-05-26 13:44:07,166] - INFO: Epoch 2640/9999, Iter 263960: Loss = 0.021944532170891762, lr = [1.25e-05] +[2024-05-26 13:44:34,107] - INFO: Evaluate at epoch 2640! +[2024-05-26 13:44:38,774] - INFO: Eval PSNR (max): 38.236 (2540) SSIM (max): 0.9617 (2630) +[2024-05-26 13:44:38,774] - INFO: Eval PSNR (current): 38.209 (2640) SSIM (current): 0.9616 (2640) +[2024-05-26 13:44:38,774] - INFO: Evaluation over. +[2024-05-26 13:44:45,770] - INFO: Epoch 2641/9999, Iter 264000: Loss = 0.01858782395720482, lr = [1.25e-05] +[2024-05-26 13:45:13,101] - INFO: Epoch 2641/9999, Iter 264040: Loss = 0.019179316237568855, lr = [1.25e-05] +[2024-05-26 13:45:40,299] - INFO: Epoch 2641/9999, Iter 264080: Loss = 0.013786987401545048, lr = [1.25e-05] +[2024-05-26 13:46:08,923] - INFO: Epoch 2642/9999, Iter 264120: Loss = 0.009456171654164791, lr = [1.25e-05] +[2024-05-26 13:46:36,070] - INFO: Epoch 2642/9999, Iter 264160: Loss = 0.007524577435106039, lr = [1.25e-05] +[2024-05-26 13:47:04,589] - INFO: Epoch 2643/9999, Iter 264200: Loss = 0.013455377891659737, lr = [1.25e-05] +[2024-05-26 13:47:31,910] - INFO: Epoch 2643/9999, Iter 264240: Loss = 0.00948228221386671, lr = [1.25e-05] +[2024-05-26 13:47:59,139] - INFO: Epoch 2643/9999, Iter 264280: Loss = 0.013992183841764927, lr = [1.25e-05] +[2024-05-26 13:48:27,690] - INFO: Epoch 2644/9999, Iter 264320: Loss = 0.01101501565426588, lr = [1.25e-05] +[2024-05-26 13:48:54,915] - INFO: Epoch 2644/9999, Iter 264360: Loss = 0.008708841167390347, lr = [1.25e-05] +[2024-05-26 13:49:23,348] - INFO: Epoch 2645/9999, Iter 264400: Loss = 0.008359445258975029, lr = [1.25e-05] +[2024-05-26 13:49:50,619] - INFO: Epoch 2645/9999, Iter 264440: Loss = 0.017292536795139313, lr = [1.25e-05] +[2024-05-26 13:50:17,798] - INFO: Epoch 2645/9999, Iter 264480: Loss = 0.012320107780396938, lr = [1.25e-05] +[2024-05-26 13:50:31,087] - INFO: Evaluate at epoch 2645! +[2024-05-26 13:50:35,666] - INFO: Eval PSNR (max): 38.236 (2540) SSIM (max): 0.9617 (2630) +[2024-05-26 13:50:35,666] - INFO: Eval PSNR (current): 38.205 (2645) SSIM (current): 0.9616 (2645) +[2024-05-26 13:50:35,666] - INFO: Evaluation over. +[2024-05-26 13:50:56,006] - INFO: Epoch 2646/9999, Iter 264520: Loss = 0.015547281131148338, lr = [1.25e-05] +[2024-05-26 13:51:23,155] - INFO: Epoch 2646/9999, Iter 264560: Loss = 0.010169798508286476, lr = [1.25e-05] +[2024-05-26 13:51:51,717] - INFO: Epoch 2647/9999, Iter 264600: Loss = 0.019824203103780746, lr = [1.25e-05] +[2024-05-26 13:52:18,965] - INFO: Epoch 2647/9999, Iter 264640: Loss = 0.014402811415493488, lr = [1.25e-05] +[2024-05-26 13:52:46,179] - INFO: Epoch 2647/9999, Iter 264680: Loss = 0.010150684975087643, lr = [1.25e-05] +[2024-05-26 13:53:14,761] - INFO: Epoch 2648/9999, Iter 264720: Loss = 0.00457656430080533, lr = [1.25e-05] +[2024-05-26 13:53:41,942] - INFO: Epoch 2648/9999, Iter 264760: Loss = 0.010510623455047607, lr = [1.25e-05] +[2024-05-26 13:54:10,500] - INFO: Epoch 2649/9999, Iter 264800: Loss = 0.008390434086322784, lr = [1.25e-05] +[2024-05-26 13:54:37,806] - INFO: Epoch 2649/9999, Iter 264840: Loss = 0.014204149134457111, lr = [1.25e-05] +[2024-05-26 13:55:05,012] - INFO: Epoch 2649/9999, Iter 264880: Loss = 0.009676564484834671, lr = [1.25e-05] +[2024-05-26 13:55:33,558] - INFO: Epoch 2650/9999, Iter 264920: Loss = 0.010550287552177906, lr = [1.25e-05] +[2024-05-26 13:56:00,798] - INFO: Epoch 2650/9999, Iter 264960: Loss = 0.004133834969252348, lr = [1.25e-05] +[2024-05-26 13:56:27,681] - INFO: Evaluate at epoch 2650! +[2024-05-26 13:56:32,306] - INFO: Eval PSNR (max): 38.236 (2540) SSIM (max): 0.9617 (2630) +[2024-05-26 13:56:32,307] - INFO: Eval PSNR (current): 38.207 (2650) SSIM (current): 0.9617 (2650) +[2024-05-26 13:56:32,307] - INFO: Evaluation over. +[2024-05-26 13:56:39,465] - INFO: Epoch 2651/9999, Iter 265000: Loss = 0.013676193542778492, lr = [1.25e-05] +[2024-05-26 13:57:06,784] - INFO: Epoch 2651/9999, Iter 265040: Loss = 0.015716949477791786, lr = [1.25e-05] +[2024-05-26 13:57:33,940] - INFO: Epoch 2651/9999, Iter 265080: Loss = 0.006006272975355387, lr = [1.25e-05] +[2024-05-26 13:58:02,454] - INFO: Epoch 2652/9999, Iter 265120: Loss = 0.008813372813165188, lr = [1.25e-05] +[2024-05-26 13:58:29,605] - INFO: Epoch 2652/9999, Iter 265160: Loss = 0.009728524833917618, lr = [1.25e-05] +[2024-05-26 13:58:58,192] - INFO: Epoch 2653/9999, Iter 265200: Loss = 0.009869140572845936, lr = [1.25e-05] +[2024-05-26 13:59:25,497] - INFO: Epoch 2653/9999, Iter 265240: Loss = 0.007921085692942142, lr = [1.25e-05] +[2024-05-26 13:59:52,651] - INFO: Epoch 2653/9999, Iter 265280: Loss = 0.011029848828911781, lr = [1.25e-05] +[2024-05-26 14:00:21,202] - INFO: Epoch 2654/9999, Iter 265320: Loss = 0.007123851682990789, lr = [1.25e-05] +[2024-05-26 14:00:48,373] - INFO: Epoch 2654/9999, Iter 265360: Loss = 0.01062064804136753, lr = [1.25e-05] +[2024-05-26 14:01:17,017] - INFO: Epoch 2655/9999, Iter 265400: Loss = 0.01638929173350334, lr = [1.25e-05] +[2024-05-26 14:01:44,276] - INFO: Epoch 2655/9999, Iter 265440: Loss = 0.007331195753067732, lr = [1.25e-05] +[2024-05-26 14:02:11,398] - INFO: Epoch 2655/9999, Iter 265480: Loss = 0.00919613428413868, lr = [1.25e-05] +[2024-05-26 14:02:24,682] - INFO: Evaluate at epoch 2655! +[2024-05-26 14:02:29,328] - INFO: Eval PSNR (max): 38.236 (2540) SSIM (max): 0.9617 (2630) +[2024-05-26 14:02:29,329] - INFO: Eval PSNR (current): 38.217 (2655) SSIM (current): 0.9617 (2655) +[2024-05-26 14:02:29,329] - INFO: Evaluation over. +[2024-05-26 14:02:49,886] - INFO: Epoch 2656/9999, Iter 265520: Loss = 0.006911244243383408, lr = [1.25e-05] +[2024-05-26 14:03:17,087] - INFO: Epoch 2656/9999, Iter 265560: Loss = 0.00902578979730606, lr = [1.25e-05] +[2024-05-26 14:03:45,655] - INFO: Epoch 2657/9999, Iter 265600: Loss = 0.006469645071774721, lr = [1.25e-05] +[2024-05-26 14:04:13,002] - INFO: Epoch 2657/9999, Iter 265640: Loss = 0.02048807218670845, lr = [1.25e-05] +[2024-05-26 14:04:40,167] - INFO: Epoch 2657/9999, Iter 265680: Loss = 0.008671159856021404, lr = [1.25e-05] +[2024-05-26 14:05:09,031] - INFO: Epoch 2658/9999, Iter 265720: Loss = 0.015552446246147156, lr = [1.25e-05] +[2024-05-26 14:05:36,283] - INFO: Epoch 2658/9999, Iter 265760: Loss = 0.012033212929964066, lr = [1.25e-05] +[2024-05-26 14:06:04,653] - INFO: Epoch 2659/9999, Iter 265800: Loss = 0.010845433920621872, lr = [1.25e-05] +[2024-05-26 14:06:31,925] - INFO: Epoch 2659/9999, Iter 265840: Loss = 0.016503021121025085, lr = [1.25e-05] +[2024-05-26 14:06:59,089] - INFO: Epoch 2659/9999, Iter 265880: Loss = 0.017955433577299118, lr = [1.25e-05] +[2024-05-26 14:07:27,674] - INFO: Epoch 2660/9999, Iter 265920: Loss = 0.008550883270800114, lr = [1.25e-05] +[2024-05-26 14:07:54,873] - INFO: Epoch 2660/9999, Iter 265960: Loss = 0.011095485650002956, lr = [1.25e-05] +[2024-05-26 14:08:21,741] - INFO: Evaluate at epoch 2660! +[2024-05-26 14:08:31,992] - INFO: Eval PSNR (max): 38.236 (2540) SSIM (max): 0.9617 (2660) +[2024-05-26 14:08:31,993] - INFO: Eval PSNR (current): 38.226 (2660) SSIM (current): 0.9617 (2660) +[2024-05-26 14:08:31,993] - INFO: Evaluation over. +[2024-05-26 14:08:38,733] - INFO: Epoch 2661/9999, Iter 266000: Loss = 0.014653024263679981, lr = [1.25e-05] +[2024-05-26 14:09:05,944] - INFO: Epoch 2661/9999, Iter 266040: Loss = 0.012231312692165375, lr = [1.25e-05] +[2024-05-26 14:09:33,118] - INFO: Epoch 2661/9999, Iter 266080: Loss = 0.006506364326924086, lr = [1.25e-05] +[2024-05-26 14:10:01,749] - INFO: Epoch 2662/9999, Iter 266120: Loss = 0.011917362920939922, lr = [1.25e-05] +[2024-05-26 14:10:28,878] - INFO: Epoch 2662/9999, Iter 266160: Loss = 0.012035052292048931, lr = [1.25e-05] +[2024-05-26 14:10:57,468] - INFO: Epoch 2663/9999, Iter 266200: Loss = 0.014065610244870186, lr = [1.25e-05] +[2024-05-26 14:11:24,824] - INFO: Epoch 2663/9999, Iter 266240: Loss = 0.013531127944588661, lr = [1.25e-05] +[2024-05-26 14:11:52,013] - INFO: Epoch 2663/9999, Iter 266280: Loss = 0.010336059145629406, lr = [1.25e-05] +[2024-05-26 14:12:20,570] - INFO: Epoch 2664/9999, Iter 266320: Loss = 0.00881162192672491, lr = [1.25e-05] +[2024-05-26 14:12:47,747] - INFO: Epoch 2664/9999, Iter 266360: Loss = 0.015322188846766949, lr = [1.25e-05] +[2024-05-26 14:13:16,357] - INFO: Epoch 2665/9999, Iter 266400: Loss = 0.01401903573423624, lr = [1.25e-05] +[2024-05-26 14:13:43,645] - INFO: Epoch 2665/9999, Iter 266440: Loss = 0.01634150929749012, lr = [1.25e-05] +[2024-05-26 14:14:10,753] - INFO: Epoch 2665/9999, Iter 266480: Loss = 0.021752003580331802, lr = [1.25e-05] +[2024-05-26 14:14:24,084] - INFO: Evaluate at epoch 2665! +[2024-05-26 14:14:28,617] - INFO: Eval PSNR (max): 38.236 (2540) SSIM (max): 0.9617 (2660) +[2024-05-26 14:14:28,617] - INFO: Eval PSNR (current): 38.214 (2665) SSIM (current): 0.9617 (2665) +[2024-05-26 14:14:28,617] - INFO: Evaluation over. +[2024-05-26 14:14:49,547] - INFO: Epoch 2666/9999, Iter 266520: Loss = 0.009101444855332375, lr = [1.25e-05] +[2024-05-26 14:15:16,683] - INFO: Epoch 2666/9999, Iter 266560: Loss = 0.007960331626236439, lr = [1.25e-05] +[2024-05-26 14:15:45,287] - INFO: Epoch 2667/9999, Iter 266600: Loss = 0.010150103829801083, lr = [1.25e-05] +[2024-05-26 14:16:12,571] - INFO: Epoch 2667/9999, Iter 266640: Loss = 0.005599045194685459, lr = [1.25e-05] +[2024-05-26 14:16:39,742] - INFO: Epoch 2667/9999, Iter 266680: Loss = 0.010698329657316208, lr = [1.25e-05] +[2024-05-26 14:17:08,122] - INFO: Epoch 2668/9999, Iter 266720: Loss = 0.010936100967228413, lr = [1.25e-05] +[2024-05-26 14:17:35,290] - INFO: Epoch 2668/9999, Iter 266760: Loss = 0.014203188009560108, lr = [1.25e-05] +[2024-05-26 14:18:03,789] - INFO: Epoch 2669/9999, Iter 266800: Loss = 0.014293418265879154, lr = [1.25e-05] +[2024-05-26 14:18:31,066] - INFO: Epoch 2669/9999, Iter 266840: Loss = 0.020004721358418465, lr = [1.25e-05] +[2024-05-26 14:18:58,163] - INFO: Epoch 2669/9999, Iter 266880: Loss = 0.01299881748855114, lr = [1.25e-05] +[2024-05-26 14:19:26,790] - INFO: Epoch 2670/9999, Iter 266920: Loss = 0.007790680509060621, lr = [1.25e-05] +[2024-05-26 14:19:54,028] - INFO: Epoch 2670/9999, Iter 266960: Loss = 0.0083078071475029, lr = [1.25e-05] +[2024-05-26 14:20:20,852] - INFO: Evaluate at epoch 2670! +[2024-05-26 14:20:31,120] - INFO: Eval PSNR (max): 38.236 (2670) SSIM (max): 0.9617 (2660) +[2024-05-26 14:20:31,120] - INFO: Eval PSNR (current): 38.236 (2670) SSIM (current): 0.9617 (2670) +[2024-05-26 14:20:31,120] - INFO: Evaluation over. +[2024-05-26 14:20:37,799] - INFO: Epoch 2671/9999, Iter 267000: Loss = 0.023850012570619583, lr = [1.25e-05] +[2024-05-26 14:21:05,113] - INFO: Epoch 2671/9999, Iter 267040: Loss = 0.015052811242640018, lr = [1.25e-05] +[2024-05-26 14:21:32,283] - INFO: Epoch 2671/9999, Iter 267080: Loss = 0.010447022505104542, lr = [1.25e-05] +[2024-05-26 14:22:00,966] - INFO: Epoch 2672/9999, Iter 267120: Loss = 0.008210019208490849, lr = [1.25e-05] +[2024-05-26 14:22:28,202] - INFO: Epoch 2672/9999, Iter 267160: Loss = 0.019247137010097504, lr = [1.25e-05] +[2024-05-26 14:22:56,748] - INFO: Epoch 2673/9999, Iter 267200: Loss = 0.013095302507281303, lr = [1.25e-05] +[2024-05-26 14:23:24,044] - INFO: Epoch 2673/9999, Iter 267240: Loss = 0.00857799407094717, lr = [1.25e-05] +[2024-05-26 14:23:51,230] - INFO: Epoch 2673/9999, Iter 267280: Loss = 0.012759694829583168, lr = [1.25e-05] +[2024-05-26 14:24:19,897] - INFO: Epoch 2674/9999, Iter 267320: Loss = 0.013262231834232807, lr = [1.25e-05] +[2024-05-26 14:24:47,138] - INFO: Epoch 2674/9999, Iter 267360: Loss = 0.012022221460938454, lr = [1.25e-05] +[2024-05-26 14:25:15,738] - INFO: Epoch 2675/9999, Iter 267400: Loss = 0.010746503248810768, lr = [1.25e-05] +[2024-05-26 14:25:43,103] - INFO: Epoch 2675/9999, Iter 267440: Loss = 0.017274383455514908, lr = [1.25e-05] +[2024-05-26 14:26:10,218] - INFO: Epoch 2675/9999, Iter 267480: Loss = 0.01739143207669258, lr = [1.25e-05] +[2024-05-26 14:26:23,484] - INFO: Evaluate at epoch 2675! +[2024-05-26 14:26:28,067] - INFO: Eval PSNR (max): 38.236 (2670) SSIM (max): 0.9617 (2660) +[2024-05-26 14:26:28,067] - INFO: Eval PSNR (current): 38.209 (2675) SSIM (current): 0.9617 (2675) +[2024-05-26 14:26:28,067] - INFO: Evaluation over. +[2024-05-26 14:26:48,703] - INFO: Epoch 2676/9999, Iter 267520: Loss = 0.013269757851958275, lr = [1.25e-05] +[2024-05-26 14:27:15,892] - INFO: Epoch 2676/9999, Iter 267560: Loss = 0.009624815545976162, lr = [1.25e-05] +[2024-05-26 14:27:44,397] - INFO: Epoch 2677/9999, Iter 267600: Loss = 0.010642330162227154, lr = [1.25e-05] +[2024-05-26 14:28:11,699] - INFO: Epoch 2677/9999, Iter 267640: Loss = 0.016441496089100838, lr = [1.25e-05] +[2024-05-26 14:28:38,920] - INFO: Epoch 2677/9999, Iter 267680: Loss = 0.02290133200585842, lr = [1.25e-05] +[2024-05-26 14:29:07,474] - INFO: Epoch 2678/9999, Iter 267720: Loss = 0.009456474334001541, lr = [1.25e-05] +[2024-05-26 14:29:34,654] - INFO: Epoch 2678/9999, Iter 267760: Loss = 0.007513216231018305, lr = [1.25e-05] +[2024-05-26 14:30:03,260] - INFO: Epoch 2679/9999, Iter 267800: Loss = 0.014018699526786804, lr = [1.25e-05] +[2024-05-26 14:30:30,517] - INFO: Epoch 2679/9999, Iter 267840: Loss = 0.014821580611169338, lr = [1.25e-05] +[2024-05-26 14:30:57,666] - INFO: Epoch 2679/9999, Iter 267880: Loss = 0.013448450714349747, lr = [1.25e-05] +[2024-05-26 14:31:26,315] - INFO: Epoch 2680/9999, Iter 267920: Loss = 0.011240850202739239, lr = [1.25e-05] +[2024-05-26 14:31:53,481] - INFO: Epoch 2680/9999, Iter 267960: Loss = 0.008705804124474525, lr = [1.25e-05] +[2024-05-26 14:32:20,360] - INFO: Evaluate at epoch 2680! +[2024-05-26 14:32:25,112] - INFO: Eval PSNR (max): 38.236 (2670) SSIM (max): 0.9617 (2660) +[2024-05-26 14:32:25,112] - INFO: Eval PSNR (current): 38.216 (2680) SSIM (current): 0.9617 (2680) +[2024-05-26 14:32:25,112] - INFO: Evaluation over. +[2024-05-26 14:32:31,856] - INFO: Epoch 2681/9999, Iter 268000: Loss = 0.014791523106396198, lr = [1.25e-05] +[2024-05-26 14:32:59,230] - INFO: Epoch 2681/9999, Iter 268040: Loss = 0.00955897942185402, lr = [1.25e-05] +[2024-05-26 14:33:26,414] - INFO: Epoch 2681/9999, Iter 268080: Loss = 0.007306902669370174, lr = [1.25e-05] +[2024-05-26 14:33:54,950] - INFO: Epoch 2682/9999, Iter 268120: Loss = 0.010062615387141705, lr = [1.25e-05] +[2024-05-26 14:34:22,118] - INFO: Epoch 2682/9999, Iter 268160: Loss = 0.007116974331438541, lr = [1.25e-05] +[2024-05-26 14:34:50,657] - INFO: Epoch 2683/9999, Iter 268200: Loss = 0.006962672807276249, lr = [1.25e-05] +[2024-05-26 14:35:17,870] - INFO: Epoch 2683/9999, Iter 268240: Loss = 0.0071310121566057205, lr = [1.25e-05] +[2024-05-26 14:35:45,034] - INFO: Epoch 2683/9999, Iter 268280: Loss = 0.012060695327818394, lr = [1.25e-05] +[2024-05-26 14:36:13,627] - INFO: Epoch 2684/9999, Iter 268320: Loss = 0.013737586326897144, lr = [1.25e-05] +[2024-05-26 14:36:40,874] - INFO: Epoch 2684/9999, Iter 268360: Loss = 0.008361855521798134, lr = [1.25e-05] +[2024-05-26 14:37:09,382] - INFO: Epoch 2685/9999, Iter 268400: Loss = 0.014902419410645962, lr = [1.25e-05] +[2024-05-26 14:37:36,674] - INFO: Epoch 2685/9999, Iter 268440: Loss = 0.0104765510186553, lr = [1.25e-05] +[2024-05-26 14:38:03,862] - INFO: Epoch 2685/9999, Iter 268480: Loss = 0.011301857419312, lr = [1.25e-05] +[2024-05-26 14:38:17,188] - INFO: Evaluate at epoch 2685! +[2024-05-26 14:38:21,852] - INFO: Eval PSNR (max): 38.236 (2670) SSIM (max): 0.9617 (2660) +[2024-05-26 14:38:21,852] - INFO: Eval PSNR (current): 38.225 (2685) SSIM (current): 0.9617 (2685) +[2024-05-26 14:38:21,852] - INFO: Evaluation over. +[2024-05-26 14:38:42,118] - INFO: Epoch 2686/9999, Iter 268520: Loss = 0.013878372497856617, lr = [1.25e-05] +[2024-05-26 14:39:09,348] - INFO: Epoch 2686/9999, Iter 268560: Loss = 0.014023927040398121, lr = [1.25e-05] +[2024-05-26 14:39:37,860] - INFO: Epoch 2687/9999, Iter 268600: Loss = 0.011290020309388638, lr = [1.25e-05] +[2024-05-26 14:40:05,125] - INFO: Epoch 2687/9999, Iter 268640: Loss = 0.014970661140978336, lr = [1.25e-05] +[2024-05-26 14:40:32,331] - INFO: Epoch 2687/9999, Iter 268680: Loss = 0.01454964280128479, lr = [1.25e-05] +[2024-05-26 14:41:01,064] - INFO: Epoch 2688/9999, Iter 268720: Loss = 0.0185092706233263, lr = [1.25e-05] +[2024-05-26 14:41:28,238] - INFO: Epoch 2688/9999, Iter 268760: Loss = 0.012075339443981647, lr = [1.25e-05] +[2024-05-26 14:41:56,718] - INFO: Epoch 2689/9999, Iter 268800: Loss = 0.010484505444765091, lr = [1.25e-05] +[2024-05-26 14:42:23,959] - INFO: Epoch 2689/9999, Iter 268840: Loss = 0.017027664929628372, lr = [1.25e-05] +[2024-05-26 14:42:51,173] - INFO: Epoch 2689/9999, Iter 268880: Loss = 0.009107125923037529, lr = [1.25e-05] +[2024-05-26 14:43:19,850] - INFO: Epoch 2690/9999, Iter 268920: Loss = 0.014915150590240955, lr = [1.25e-05] +[2024-05-26 14:43:47,045] - INFO: Epoch 2690/9999, Iter 268960: Loss = 0.011571220122277737, lr = [1.25e-05] +[2024-05-26 14:44:13,886] - INFO: Evaluate at epoch 2690! +[2024-05-26 14:44:18,512] - INFO: Eval PSNR (max): 38.236 (2670) SSIM (max): 0.9617 (2660) +[2024-05-26 14:44:18,512] - INFO: Eval PSNR (current): 38.227 (2690) SSIM (current): 0.9617 (2690) +[2024-05-26 14:44:18,512] - INFO: Evaluation over. +[2024-05-26 14:44:25,148] - INFO: Epoch 2691/9999, Iter 269000: Loss = 0.010259818285703659, lr = [1.25e-05] +[2024-05-26 14:44:52,367] - INFO: Epoch 2691/9999, Iter 269040: Loss = 0.014705443754792213, lr = [1.25e-05] +[2024-05-26 14:45:19,554] - INFO: Epoch 2691/9999, Iter 269080: Loss = 0.00937621109187603, lr = [1.25e-05] +[2024-05-26 14:45:48,251] - INFO: Epoch 2692/9999, Iter 269120: Loss = 0.017308726906776428, lr = [1.25e-05] +[2024-05-26 14:46:15,403] - INFO: Epoch 2692/9999, Iter 269160: Loss = 0.02019919827580452, lr = [1.25e-05] +[2024-05-26 14:46:43,808] - INFO: Epoch 2693/9999, Iter 269200: Loss = 0.019170677289366722, lr = [1.25e-05] +[2024-05-26 14:47:11,052] - INFO: Epoch 2693/9999, Iter 269240: Loss = 0.014101688750088215, lr = [1.25e-05] +[2024-05-26 14:47:38,281] - INFO: Epoch 2693/9999, Iter 269280: Loss = 0.018393738195300102, lr = [1.25e-05] +[2024-05-26 14:48:06,788] - INFO: Epoch 2694/9999, Iter 269320: Loss = 0.015158801339566708, lr = [1.25e-05] +[2024-05-26 14:48:33,958] - INFO: Epoch 2694/9999, Iter 269360: Loss = 0.019338831305503845, lr = [1.25e-05] +[2024-05-26 14:49:02,563] - INFO: Epoch 2695/9999, Iter 269400: Loss = 0.014237073250114918, lr = [1.25e-05] +[2024-05-26 14:49:29,834] - INFO: Epoch 2695/9999, Iter 269440: Loss = 0.00918609369546175, lr = [1.25e-05] +[2024-05-26 14:49:57,011] - INFO: Epoch 2695/9999, Iter 269480: Loss = 0.015051255002617836, lr = [1.25e-05] +[2024-05-26 14:50:10,331] - INFO: Evaluate at epoch 2695! +[2024-05-26 14:50:14,938] - INFO: Eval PSNR (max): 38.236 (2670) SSIM (max): 0.9617 (2660) +[2024-05-26 14:50:14,939] - INFO: Eval PSNR (current): 38.209 (2695) SSIM (current): 0.9617 (2695) +[2024-05-26 14:50:14,939] - INFO: Evaluation over. +[2024-05-26 14:50:35,546] - INFO: Epoch 2696/9999, Iter 269520: Loss = 0.015789760276675224, lr = [1.25e-05] +[2024-05-26 14:51:02,727] - INFO: Epoch 2696/9999, Iter 269560: Loss = 0.01686318963766098, lr = [1.25e-05] +[2024-05-26 14:51:31,224] - INFO: Epoch 2697/9999, Iter 269600: Loss = 0.0077025191858410835, lr = [1.25e-05] +[2024-05-26 14:51:58,463] - INFO: Epoch 2697/9999, Iter 269640: Loss = 0.008539708331227303, lr = [1.25e-05] +[2024-05-26 14:52:25,656] - INFO: Epoch 2697/9999, Iter 269680: Loss = 0.012387902475893497, lr = [1.25e-05] +[2024-05-26 14:52:54,218] - INFO: Epoch 2698/9999, Iter 269720: Loss = 0.01331929862499237, lr = [1.25e-05] +[2024-05-26 14:53:21,382] - INFO: Epoch 2698/9999, Iter 269760: Loss = 0.006749176420271397, lr = [1.25e-05] +[2024-05-26 14:53:49,950] - INFO: Epoch 2699/9999, Iter 269800: Loss = 0.010367627255618572, lr = [1.25e-05] +[2024-05-26 14:54:17,311] - INFO: Epoch 2699/9999, Iter 269840: Loss = 0.009651134721934795, lr = [1.25e-05] +[2024-05-26 14:54:44,484] - INFO: Epoch 2699/9999, Iter 269880: Loss = 0.01844249665737152, lr = [1.25e-05] +[2024-05-26 14:55:13,212] - INFO: Epoch 2700/9999, Iter 269920: Loss = 0.008150067180395126, lr = [1.25e-05] +[2024-05-26 14:55:40,420] - INFO: Epoch 2700/9999, Iter 269960: Loss = 0.012932438403367996, lr = [1.25e-05] +[2024-05-26 14:56:07,298] - INFO: Evaluate at epoch 2700! +[2024-05-26 14:56:11,924] - INFO: Eval PSNR (max): 38.236 (2670) SSIM (max): 0.9617 (2660) +[2024-05-26 14:56:11,924] - INFO: Eval PSNR (current): 38.229 (2700) SSIM (current): 0.9617 (2700) +[2024-05-26 14:56:11,924] - INFO: Evaluation over. +[2024-05-26 14:56:18,824] - INFO: Epoch 2701/9999, Iter 270000: Loss = 0.012495022267103195, lr = [1.25e-05] +[2024-05-26 14:56:46,118] - INFO: Epoch 2701/9999, Iter 270040: Loss = 0.015462880954146385, lr = [1.25e-05] +[2024-05-26 14:57:13,271] - INFO: Epoch 2701/9999, Iter 270080: Loss = 0.012787162326276302, lr = [1.25e-05] +[2024-05-26 14:57:41,982] - INFO: Epoch 2702/9999, Iter 270120: Loss = 0.01951807551085949, lr = [1.25e-05] +[2024-05-26 14:58:09,189] - INFO: Epoch 2702/9999, Iter 270160: Loss = 0.013073913753032684, lr = [1.25e-05] +[2024-05-26 14:58:37,837] - INFO: Epoch 2703/9999, Iter 270200: Loss = 0.016808608546853065, lr = [1.25e-05] +[2024-05-26 14:59:05,215] - INFO: Epoch 2703/9999, Iter 270240: Loss = 0.0062582907266914845, lr = [1.25e-05] +[2024-05-26 14:59:32,434] - INFO: Epoch 2703/9999, Iter 270280: Loss = 0.014241189695894718, lr = [1.25e-05] +[2024-05-26 15:00:01,061] - INFO: Epoch 2704/9999, Iter 270320: Loss = 0.009920142590999603, lr = [1.25e-05] +[2024-05-26 15:00:28,166] - INFO: Epoch 2704/9999, Iter 270360: Loss = 0.010493475012481213, lr = [1.25e-05] +[2024-05-26 15:00:56,581] - INFO: Epoch 2705/9999, Iter 270400: Loss = 0.008480681106448174, lr = [1.25e-05] +[2024-05-26 15:01:23,862] - INFO: Epoch 2705/9999, Iter 270440: Loss = 0.00835234671831131, lr = [1.25e-05] +[2024-05-26 15:01:51,106] - INFO: Epoch 2705/9999, Iter 270480: Loss = 0.02582881785929203, lr = [1.25e-05] +[2024-05-26 15:02:04,503] - INFO: Evaluate at epoch 2705! +[2024-05-26 15:02:09,120] - INFO: Eval PSNR (max): 38.236 (2670) SSIM (max): 0.9617 (2660) +[2024-05-26 15:02:09,120] - INFO: Eval PSNR (current): 38.214 (2705) SSIM (current): 0.9616 (2705) +[2024-05-26 15:02:09,120] - INFO: Evaluation over. +[2024-05-26 15:02:29,356] - INFO: Epoch 2706/9999, Iter 270520: Loss = 0.01897301897406578, lr = [1.25e-05] +[2024-05-26 15:02:56,554] - INFO: Epoch 2706/9999, Iter 270560: Loss = 0.012016864493489265, lr = [1.25e-05] +[2024-05-26 15:03:24,953] - INFO: Epoch 2707/9999, Iter 270600: Loss = 0.0065103271044790745, lr = [1.25e-05] +[2024-05-26 15:03:52,299] - INFO: Epoch 2707/9999, Iter 270640: Loss = 0.007073064800351858, lr = [1.25e-05] +[2024-05-26 15:04:19,490] - INFO: Epoch 2707/9999, Iter 270680: Loss = 0.013047576881945133, lr = [1.25e-05] +[2024-05-26 15:04:48,327] - INFO: Epoch 2708/9999, Iter 270720: Loss = 0.00785897672176361, lr = [1.25e-05] +[2024-05-26 15:05:15,464] - INFO: Epoch 2708/9999, Iter 270760: Loss = 0.015058753080666065, lr = [1.25e-05] +[2024-05-26 15:05:44,069] - INFO: Epoch 2709/9999, Iter 270800: Loss = 0.01109160017222166, lr = [1.25e-05] +[2024-05-26 15:06:11,331] - INFO: Epoch 2709/9999, Iter 270840: Loss = 0.01590840518474579, lr = [1.25e-05] +[2024-05-26 15:06:38,476] - INFO: Epoch 2709/9999, Iter 270880: Loss = 0.013336301781237125, lr = [1.25e-05] +[2024-05-26 15:07:07,210] - INFO: Epoch 2710/9999, Iter 270920: Loss = 0.02395971119403839, lr = [1.25e-05] +[2024-05-26 15:07:34,433] - INFO: Epoch 2710/9999, Iter 270960: Loss = 0.010515742935240269, lr = [1.25e-05] +[2024-05-26 15:08:01,348] - INFO: Evaluate at epoch 2710! +[2024-05-26 15:08:06,025] - INFO: Eval PSNR (max): 38.236 (2670) SSIM (max): 0.9617 (2660) +[2024-05-26 15:08:06,025] - INFO: Eval PSNR (current): 38.217 (2710) SSIM (current): 0.9617 (2710) +[2024-05-26 15:08:06,025] - INFO: Evaluation over. +[2024-05-26 15:08:12,978] - INFO: Epoch 2711/9999, Iter 271000: Loss = 0.006965584121644497, lr = [1.25e-05] +[2024-05-26 15:08:40,180] - INFO: Epoch 2711/9999, Iter 271040: Loss = 0.01631246879696846, lr = [1.25e-05] +[2024-05-26 15:09:07,423] - INFO: Epoch 2711/9999, Iter 271080: Loss = 0.012472433038055897, lr = [1.25e-05] +[2024-05-26 15:09:36,170] - INFO: Epoch 2712/9999, Iter 271120: Loss = 0.01490844041109085, lr = [1.25e-05] +[2024-05-26 15:10:03,419] - INFO: Epoch 2712/9999, Iter 271160: Loss = 0.01336415484547615, lr = [1.25e-05] +[2024-05-26 15:10:32,101] - INFO: Epoch 2713/9999, Iter 271200: Loss = 0.018176553770899773, lr = [1.25e-05] +[2024-05-26 15:10:59,426] - INFO: Epoch 2713/9999, Iter 271240: Loss = 0.006744322367012501, lr = [1.25e-05] +[2024-05-26 15:11:26,558] - INFO: Epoch 2713/9999, Iter 271280: Loss = 0.010365666821599007, lr = [1.25e-05] +[2024-05-26 15:11:55,103] - INFO: Epoch 2714/9999, Iter 271320: Loss = 0.010464021936058998, lr = [1.25e-05] +[2024-05-26 15:12:22,291] - INFO: Epoch 2714/9999, Iter 271360: Loss = 0.013768710196018219, lr = [1.25e-05] +[2024-05-26 15:12:50,919] - INFO: Epoch 2715/9999, Iter 271400: Loss = 0.005345264915376902, lr = [1.25e-05] +[2024-05-26 15:13:18,265] - INFO: Epoch 2715/9999, Iter 271440: Loss = 0.011651844717562199, lr = [1.25e-05] +[2024-05-26 15:13:45,432] - INFO: Epoch 2715/9999, Iter 271480: Loss = 0.014464367181062698, lr = [1.25e-05] +[2024-05-26 15:13:58,725] - INFO: Evaluate at epoch 2715! +[2024-05-26 15:14:08,897] - INFO: Eval PSNR (max): 38.236 (2670) SSIM (max): 0.9617 (2715) +[2024-05-26 15:14:08,898] - INFO: Eval PSNR (current): 38.214 (2715) SSIM (current): 0.9617 (2715) +[2024-05-26 15:14:08,898] - INFO: Evaluation over. +[2024-05-26 15:14:29,378] - INFO: Epoch 2716/9999, Iter 271520: Loss = 0.010189641267061234, lr = [1.25e-05] +[2024-05-26 15:14:56,550] - INFO: Epoch 2716/9999, Iter 271560: Loss = 0.018929362297058105, lr = [1.25e-05] +[2024-05-26 15:15:25,067] - INFO: Epoch 2717/9999, Iter 271600: Loss = 0.025088274851441383, lr = [1.25e-05] +[2024-05-26 15:15:52,334] - INFO: Epoch 2717/9999, Iter 271640: Loss = 0.01661691814661026, lr = [1.25e-05] +[2024-05-26 15:16:19,590] - INFO: Epoch 2717/9999, Iter 271680: Loss = 0.01337171345949173, lr = [1.25e-05] +[2024-05-26 15:16:48,279] - INFO: Epoch 2718/9999, Iter 271720: Loss = 0.010522034950554371, lr = [1.25e-05] +[2024-05-26 15:17:15,443] - INFO: Epoch 2718/9999, Iter 271760: Loss = 0.008555513806641102, lr = [1.25e-05] +[2024-05-26 15:17:43,993] - INFO: Epoch 2719/9999, Iter 271800: Loss = 0.013416385278105736, lr = [1.25e-05] +[2024-05-26 15:18:11,251] - INFO: Epoch 2719/9999, Iter 271840: Loss = 0.009416741319000721, lr = [1.25e-05] +[2024-05-26 15:18:38,410] - INFO: Epoch 2719/9999, Iter 271880: Loss = 0.015690114349126816, lr = [1.25e-05] +[2024-05-26 15:19:07,211] - INFO: Epoch 2720/9999, Iter 271920: Loss = 0.009617661125957966, lr = [1.25e-05] +[2024-05-26 15:19:34,366] - INFO: Epoch 2720/9999, Iter 271960: Loss = 0.010294588282704353, lr = [1.25e-05] +[2024-05-26 15:20:01,274] - INFO: Evaluate at epoch 2720! +[2024-05-26 15:20:05,904] - INFO: Eval PSNR (max): 38.236 (2670) SSIM (max): 0.9617 (2715) +[2024-05-26 15:20:05,904] - INFO: Eval PSNR (current): 38.220 (2720) SSIM (current): 0.9617 (2720) +[2024-05-26 15:20:05,904] - INFO: Evaluation over. +[2024-05-26 15:20:12,609] - INFO: Epoch 2721/9999, Iter 272000: Loss = 0.007498753257095814, lr = [1.25e-05] +[2024-05-26 15:20:40,010] - INFO: Epoch 2721/9999, Iter 272040: Loss = 0.01733318343758583, lr = [1.25e-05] +[2024-05-26 15:21:07,186] - INFO: Epoch 2721/9999, Iter 272080: Loss = 0.008491434156894684, lr = [1.25e-05] +[2024-05-26 15:21:35,481] - INFO: Epoch 2722/9999, Iter 272120: Loss = 0.008166817016899586, lr = [1.25e-05] +[2024-05-26 15:22:02,650] - INFO: Epoch 2722/9999, Iter 272160: Loss = 0.007336858194321394, lr = [1.25e-05] +[2024-05-26 15:22:31,358] - INFO: Epoch 2723/9999, Iter 272200: Loss = 0.014138867147266865, lr = [1.25e-05] +[2024-05-26 15:22:58,648] - INFO: Epoch 2723/9999, Iter 272240: Loss = 0.014328036457300186, lr = [1.25e-05] +[2024-05-26 15:23:25,846] - INFO: Epoch 2723/9999, Iter 272280: Loss = 0.012167582288384438, lr = [1.25e-05] +[2024-05-26 15:23:54,650] - INFO: Epoch 2724/9999, Iter 272320: Loss = 0.007210190873593092, lr = [1.25e-05] +[2024-05-26 15:24:21,779] - INFO: Epoch 2724/9999, Iter 272360: Loss = 0.011257298290729523, lr = [1.25e-05] +[2024-05-26 15:24:50,469] - INFO: Epoch 2725/9999, Iter 272400: Loss = 0.009282024577260017, lr = [1.25e-05] +[2024-05-26 15:25:17,762] - INFO: Epoch 2725/9999, Iter 272440: Loss = 0.0133528932929039, lr = [1.25e-05] +[2024-05-26 15:25:44,934] - INFO: Epoch 2725/9999, Iter 272480: Loss = 0.01044801902025938, lr = [1.25e-05] +[2024-05-26 15:25:58,222] - INFO: Evaluate at epoch 2725! +[2024-05-26 15:26:02,867] - INFO: Eval PSNR (max): 38.236 (2670) SSIM (max): 0.9617 (2715) +[2024-05-26 15:26:02,867] - INFO: Eval PSNR (current): 38.222 (2725) SSIM (current): 0.9617 (2725) +[2024-05-26 15:26:02,867] - INFO: Evaluation over. +[2024-05-26 15:26:23,431] - INFO: Epoch 2726/9999, Iter 272520: Loss = 0.01536145806312561, lr = [1.25e-05] +[2024-05-26 15:26:50,750] - INFO: Epoch 2726/9999, Iter 272560: Loss = 0.007865135557949543, lr = [1.25e-05] +[2024-05-26 15:27:19,278] - INFO: Epoch 2727/9999, Iter 272600: Loss = 0.010692417621612549, lr = [1.25e-05] +[2024-05-26 15:27:46,602] - INFO: Epoch 2727/9999, Iter 272640: Loss = 0.010945660062134266, lr = [1.25e-05] +[2024-05-26 15:28:13,769] - INFO: Epoch 2727/9999, Iter 272680: Loss = 0.01937510445713997, lr = [1.25e-05] +[2024-05-26 15:28:42,518] - INFO: Epoch 2728/9999, Iter 272720: Loss = 0.01624108850955963, lr = [1.25e-05] +[2024-05-26 15:29:09,731] - INFO: Epoch 2728/9999, Iter 272760: Loss = 0.008810448460280895, lr = [1.25e-05] +[2024-05-26 15:29:38,312] - INFO: Epoch 2729/9999, Iter 272800: Loss = 0.008486658334732056, lr = [1.25e-05] +[2024-05-26 15:30:05,590] - INFO: Epoch 2729/9999, Iter 272840: Loss = 0.010299044661223888, lr = [1.25e-05] +[2024-05-26 15:30:32,767] - INFO: Epoch 2729/9999, Iter 272880: Loss = 0.009066847153007984, lr = [1.25e-05] +[2024-05-26 15:31:01,426] - INFO: Epoch 2730/9999, Iter 272920: Loss = 0.013226143084466457, lr = [1.25e-05] +[2024-05-26 15:31:28,585] - INFO: Epoch 2730/9999, Iter 272960: Loss = 0.012978442013263702, lr = [1.25e-05] +[2024-05-26 15:31:55,481] - INFO: Evaluate at epoch 2730! +[2024-05-26 15:32:00,133] - INFO: Eval PSNR (max): 38.236 (2670) SSIM (max): 0.9617 (2715) +[2024-05-26 15:32:00,133] - INFO: Eval PSNR (current): 38.218 (2730) SSIM (current): 0.9617 (2730) +[2024-05-26 15:32:00,133] - INFO: Evaluation over. +[2024-05-26 15:32:06,929] - INFO: Epoch 2731/9999, Iter 273000: Loss = 0.008833949454128742, lr = [1.25e-05] +[2024-05-26 15:32:34,276] - INFO: Epoch 2731/9999, Iter 273040: Loss = 0.0097569664940238, lr = [1.25e-05] +[2024-05-26 15:33:01,453] - INFO: Epoch 2731/9999, Iter 273080: Loss = 0.012170280329883099, lr = [1.25e-05] +[2024-05-26 15:33:29,982] - INFO: Epoch 2732/9999, Iter 273120: Loss = 0.017880704253911972, lr = [1.25e-05] +[2024-05-26 15:33:57,156] - INFO: Epoch 2732/9999, Iter 273160: Loss = 0.013966023921966553, lr = [1.25e-05] +[2024-05-26 15:34:25,715] - INFO: Epoch 2733/9999, Iter 273200: Loss = 0.015762560069561005, lr = [1.25e-05] +[2024-05-26 15:34:52,987] - INFO: Epoch 2733/9999, Iter 273240: Loss = 0.008358811028301716, lr = [1.25e-05] +[2024-05-26 15:35:20,210] - INFO: Epoch 2733/9999, Iter 273280: Loss = 0.01268089935183525, lr = [1.25e-05] +[2024-05-26 15:35:48,798] - INFO: Epoch 2734/9999, Iter 273320: Loss = 0.008642849512398243, lr = [1.25e-05] +[2024-05-26 15:36:15,972] - INFO: Epoch 2734/9999, Iter 273360: Loss = 0.010703358799219131, lr = [1.25e-05] +[2024-05-26 15:36:44,378] - INFO: Epoch 2735/9999, Iter 273400: Loss = 0.009289336390793324, lr = [1.25e-05] +[2024-05-26 15:37:11,697] - INFO: Epoch 2735/9999, Iter 273440: Loss = 0.014721231535077095, lr = [1.25e-05] +[2024-05-26 15:37:38,845] - INFO: Epoch 2735/9999, Iter 273480: Loss = 0.007077071350067854, lr = [1.25e-05] +[2024-05-26 15:37:52,134] - INFO: Evaluate at epoch 2735! +[2024-05-26 15:37:56,792] - INFO: Eval PSNR (max): 38.236 (2670) SSIM (max): 0.9617 (2715) +[2024-05-26 15:37:56,792] - INFO: Eval PSNR (current): 38.216 (2735) SSIM (current): 0.9617 (2735) +[2024-05-26 15:37:56,792] - INFO: Evaluation over. +[2024-05-26 15:38:17,520] - INFO: Epoch 2736/9999, Iter 273520: Loss = 0.012179940938949585, lr = [1.25e-05] +[2024-05-26 15:38:44,718] - INFO: Epoch 2736/9999, Iter 273560: Loss = 0.01513636577874422, lr = [1.25e-05] +[2024-05-26 15:39:13,414] - INFO: Epoch 2737/9999, Iter 273600: Loss = 0.010857093147933483, lr = [1.25e-05] +[2024-05-26 15:39:40,668] - INFO: Epoch 2737/9999, Iter 273640: Loss = 0.022630654275417328, lr = [1.25e-05] +[2024-05-26 15:40:07,846] - INFO: Epoch 2737/9999, Iter 273680: Loss = 0.014167129062116146, lr = [1.25e-05] +[2024-05-26 15:40:36,659] - INFO: Epoch 2738/9999, Iter 273720: Loss = 0.010443341918289661, lr = [1.25e-05] +[2024-05-26 15:41:03,926] - INFO: Epoch 2738/9999, Iter 273760: Loss = 0.013516917824745178, lr = [1.25e-05] +[2024-05-26 15:41:32,528] - INFO: Epoch 2739/9999, Iter 273800: Loss = 0.009247872047126293, lr = [1.25e-05] +[2024-05-26 15:41:59,821] - INFO: Epoch 2739/9999, Iter 273840: Loss = 0.0192585326731205, lr = [1.25e-05] +[2024-05-26 15:42:26,972] - INFO: Epoch 2739/9999, Iter 273880: Loss = 0.008198604919016361, lr = [1.25e-05] +[2024-05-26 15:42:55,524] - INFO: Epoch 2740/9999, Iter 273920: Loss = 0.019021883606910706, lr = [1.25e-05] +[2024-05-26 15:43:22,750] - INFO: Epoch 2740/9999, Iter 273960: Loss = 0.005427869502454996, lr = [1.25e-05] +[2024-05-26 15:43:49,621] - INFO: Evaluate at epoch 2740! +[2024-05-26 15:43:54,164] - INFO: Eval PSNR (max): 38.236 (2670) SSIM (max): 0.9617 (2715) +[2024-05-26 15:43:54,164] - INFO: Eval PSNR (current): 38.189 (2740) SSIM (current): 0.9616 (2740) +[2024-05-26 15:43:54,165] - INFO: Evaluation over. +[2024-05-26 15:44:01,020] - INFO: Epoch 2741/9999, Iter 274000: Loss = 0.01038565393537283, lr = [1.25e-05] +[2024-05-26 15:44:28,330] - INFO: Epoch 2741/9999, Iter 274040: Loss = 0.013457228429615498, lr = [1.25e-05] +[2024-05-26 15:44:57,821] - INFO: Epoch 2741/9999, Iter 274080: Loss = 0.02073252946138382, lr = [1.25e-05] +[2024-05-26 15:45:31,092] - INFO: Epoch 2742/9999, Iter 274120: Loss = 0.011896983720362186, lr = [1.25e-05] +[2024-05-26 15:45:58,374] - INFO: Epoch 2742/9999, Iter 274160: Loss = 0.012082936242222786, lr = [1.25e-05] +[2024-05-26 15:46:29,660] - INFO: Epoch 2743/9999, Iter 274200: Loss = 0.01190318912267685, lr = [1.25e-05] +[2024-05-26 15:46:57,026] - INFO: Epoch 2743/9999, Iter 274240: Loss = 0.011632542125880718, lr = [1.25e-05] +[2024-05-26 15:47:26,023] - INFO: Epoch 2743/9999, Iter 274280: Loss = 0.012107335031032562, lr = [1.25e-05] +[2024-05-26 15:47:54,880] - INFO: Epoch 2744/9999, Iter 274320: Loss = 0.015961160883307457, lr = [1.25e-05] +[2024-05-26 15:48:22,137] - INFO: Epoch 2744/9999, Iter 274360: Loss = 0.016202691942453384, lr = [1.25e-05] +[2024-05-26 15:48:55,644] - INFO: Epoch 2745/9999, Iter 274400: Loss = 0.016795989125967026, lr = [1.25e-05] +[2024-05-26 15:49:23,476] - INFO: Epoch 2745/9999, Iter 274440: Loss = 0.0113780302926898, lr = [1.25e-05] +[2024-05-26 15:49:50,798] - INFO: Epoch 2745/9999, Iter 274480: Loss = 0.01835189200937748, lr = [1.25e-05] +[2024-05-26 15:50:04,111] - INFO: Evaluate at epoch 2745! +[2024-05-26 15:50:09,148] - INFO: Eval PSNR (max): 38.236 (2670) SSIM (max): 0.9617 (2715) +[2024-05-26 15:50:09,148] - INFO: Eval PSNR (current): 38.210 (2745) SSIM (current): 0.9617 (2745) +[2024-05-26 15:50:09,148] - INFO: Evaluation over. +[2024-05-26 15:50:30,052] - INFO: Epoch 2746/9999, Iter 274520: Loss = 0.009813825599849224, lr = [1.25e-05] +[2024-05-26 15:50:57,310] - INFO: Epoch 2746/9999, Iter 274560: Loss = 0.008071147836744785, lr = [1.25e-05] +[2024-05-26 15:51:25,980] - INFO: Epoch 2747/9999, Iter 274600: Loss = 0.013847744092345238, lr = [1.25e-05] +[2024-05-26 15:51:53,338] - INFO: Epoch 2747/9999, Iter 274640: Loss = 0.009425037540495396, lr = [1.25e-05] +[2024-05-26 15:52:20,546] - INFO: Epoch 2747/9999, Iter 274680: Loss = 0.007724424824118614, lr = [1.25e-05] +[2024-05-26 15:52:49,155] - INFO: Epoch 2748/9999, Iter 274720: Loss = 0.010472948662936687, lr = [1.25e-05] +[2024-05-26 15:53:16,424] - INFO: Epoch 2748/9999, Iter 274760: Loss = 0.014488001354038715, lr = [1.25e-05] +[2024-05-26 15:53:45,158] - INFO: Epoch 2749/9999, Iter 274800: Loss = 0.011970173567533493, lr = [1.25e-05] +[2024-05-26 15:54:12,470] - INFO: Epoch 2749/9999, Iter 274840: Loss = 0.014764170162379742, lr = [1.25e-05] +[2024-05-26 15:54:39,700] - INFO: Epoch 2749/9999, Iter 274880: Loss = 0.01446513831615448, lr = [1.25e-05] +[2024-05-26 15:55:08,406] - INFO: Epoch 2750/9999, Iter 274920: Loss = 0.008697650395333767, lr = [1.25e-05] +[2024-05-26 15:55:35,634] - INFO: Epoch 2750/9999, Iter 274960: Loss = 0.014055585488677025, lr = [1.25e-05] +[2024-05-26 15:56:02,494] - INFO: Evaluate at epoch 2750! +[2024-05-26 15:56:07,350] - INFO: Eval PSNR (max): 38.236 (2670) SSIM (max): 0.9617 (2715) +[2024-05-26 15:56:07,350] - INFO: Eval PSNR (current): 38.217 (2750) SSIM (current): 0.9616 (2750) +[2024-05-26 15:56:07,350] - INFO: Evaluation over. +[2024-05-26 15:56:14,448] - INFO: Epoch 2751/9999, Iter 275000: Loss = 0.011629314161837101, lr = [1.25e-05] +[2024-05-26 15:56:41,664] - INFO: Epoch 2751/9999, Iter 275040: Loss = 0.01670810952782631, lr = [1.25e-05] +[2024-05-26 15:57:08,834] - INFO: Epoch 2751/9999, Iter 275080: Loss = 0.0197126641869545, lr = [1.25e-05] +[2024-05-26 15:57:37,242] - INFO: Epoch 2752/9999, Iter 275120: Loss = 0.015745792537927628, lr = [1.25e-05] +[2024-05-26 15:58:04,444] - INFO: Epoch 2752/9999, Iter 275160: Loss = 0.011028771288692951, lr = [1.25e-05] +[2024-05-26 15:58:32,962] - INFO: Epoch 2753/9999, Iter 275200: Loss = 0.009475422091782093, lr = [1.25e-05] +[2024-05-26 15:59:00,219] - INFO: Epoch 2753/9999, Iter 275240: Loss = 0.019115576520562172, lr = [1.25e-05] +[2024-05-26 15:59:27,398] - INFO: Epoch 2753/9999, Iter 275280: Loss = 0.007641550153493881, lr = [1.25e-05] +[2024-05-26 15:59:56,179] - INFO: Epoch 2754/9999, Iter 275320: Loss = 0.007895408198237419, lr = [1.25e-05] +[2024-05-26 16:00:23,355] - INFO: Epoch 2754/9999, Iter 275360: Loss = 0.011781266890466213, lr = [1.25e-05] +[2024-05-26 16:00:51,948] - INFO: Epoch 2755/9999, Iter 275400: Loss = 0.014434421434998512, lr = [1.25e-05] +[2024-05-26 16:01:19,282] - INFO: Epoch 2755/9999, Iter 275440: Loss = 0.012103934772312641, lr = [1.25e-05] +[2024-05-26 16:01:46,490] - INFO: Epoch 2755/9999, Iter 275480: Loss = 0.015590242110192776, lr = [1.25e-05] +[2024-05-26 16:01:59,786] - INFO: Evaluate at epoch 2755! +[2024-05-26 16:02:04,657] - INFO: Eval PSNR (max): 38.236 (2670) SSIM (max): 0.9617 (2715) +[2024-05-26 16:02:04,657] - INFO: Eval PSNR (current): 38.222 (2755) SSIM (current): 0.9617 (2755) +[2024-05-26 16:02:04,657] - INFO: Evaluation over. +[2024-05-26 16:02:25,206] - INFO: Epoch 2756/9999, Iter 275520: Loss = 0.01773129217326641, lr = [1.25e-05] +[2024-05-26 16:02:52,390] - INFO: Epoch 2756/9999, Iter 275560: Loss = 0.01703660376369953, lr = [1.25e-05] +[2024-05-26 16:03:20,871] - INFO: Epoch 2757/9999, Iter 275600: Loss = 0.011132428422570229, lr = [1.25e-05] +[2024-05-26 16:03:48,192] - INFO: Epoch 2757/9999, Iter 275640: Loss = 0.01476405281573534, lr = [1.25e-05] +[2024-05-26 16:04:15,406] - INFO: Epoch 2757/9999, Iter 275680: Loss = 0.01443171314895153, lr = [1.25e-05] +[2024-05-26 16:04:44,202] - INFO: Epoch 2758/9999, Iter 275720: Loss = 0.02022574096918106, lr = [1.25e-05] +[2024-05-26 16:05:11,488] - INFO: Epoch 2758/9999, Iter 275760: Loss = 0.021182818338274956, lr = [1.25e-05] +[2024-05-26 16:05:40,013] - INFO: Epoch 2759/9999, Iter 275800: Loss = 0.019365916028618813, lr = [1.25e-05] +[2024-05-26 16:06:07,342] - INFO: Epoch 2759/9999, Iter 275840: Loss = 0.01682908460497856, lr = [1.25e-05] +[2024-05-26 16:06:34,497] - INFO: Epoch 2759/9999, Iter 275880: Loss = 0.008610803633928299, lr = [1.25e-05] +[2024-05-26 16:07:03,222] - INFO: Epoch 2760/9999, Iter 275920: Loss = 0.017319347709417343, lr = [1.25e-05] +[2024-05-26 16:07:30,422] - INFO: Epoch 2760/9999, Iter 275960: Loss = 0.0192728228867054, lr = [1.25e-05] +[2024-05-26 16:07:57,346] - INFO: Evaluate at epoch 2760! +[2024-05-26 16:08:02,180] - INFO: Eval PSNR (max): 38.236 (2670) SSIM (max): 0.9617 (2715) +[2024-05-26 16:08:02,180] - INFO: Eval PSNR (current): 38.227 (2760) SSIM (current): 0.9617 (2760) +[2024-05-26 16:08:02,180] - INFO: Evaluation over. +[2024-05-26 16:08:09,244] - INFO: Epoch 2761/9999, Iter 276000: Loss = 0.013161875307559967, lr = [1.25e-05] +[2024-05-26 16:08:36,490] - INFO: Epoch 2761/9999, Iter 276040: Loss = 0.009731708094477654, lr = [1.25e-05] +[2024-05-26 16:09:03,699] - INFO: Epoch 2761/9999, Iter 276080: Loss = 0.013285164721310139, lr = [1.25e-05] +[2024-05-26 16:09:32,401] - INFO: Epoch 2762/9999, Iter 276120: Loss = 0.009670929051935673, lr = [1.25e-05] +[2024-05-26 16:09:59,589] - INFO: Epoch 2762/9999, Iter 276160: Loss = 0.014078237116336823, lr = [1.25e-05] +[2024-05-26 16:10:28,276] - INFO: Epoch 2763/9999, Iter 276200: Loss = 0.020541144534945488, lr = [1.25e-05] +[2024-05-26 16:10:55,518] - INFO: Epoch 2763/9999, Iter 276240: Loss = 0.00924759916961193, lr = [1.25e-05] +[2024-05-26 16:11:22,670] - INFO: Epoch 2763/9999, Iter 276280: Loss = 0.01648477092385292, lr = [1.25e-05] +[2024-05-26 16:11:51,166] - INFO: Epoch 2764/9999, Iter 276320: Loss = 0.0135809276252985, lr = [1.25e-05] +[2024-05-26 16:12:18,382] - INFO: Epoch 2764/9999, Iter 276360: Loss = 0.012321134097874165, lr = [1.25e-05] +[2024-05-26 16:12:46,992] - INFO: Epoch 2765/9999, Iter 276400: Loss = 0.01452687568962574, lr = [1.25e-05] +[2024-05-26 16:13:14,289] - INFO: Epoch 2765/9999, Iter 276440: Loss = 0.010701452381908894, lr = [1.25e-05] +[2024-05-26 16:13:41,426] - INFO: Epoch 2765/9999, Iter 276480: Loss = 0.010856694541871548, lr = [1.25e-05] +[2024-05-26 16:13:54,907] - INFO: Evaluate at epoch 2765! +[2024-05-26 16:13:59,665] - INFO: Eval PSNR (max): 38.236 (2670) SSIM (max): 0.9617 (2715) +[2024-05-26 16:13:59,666] - INFO: Eval PSNR (current): 38.197 (2765) SSIM (current): 0.9616 (2765) +[2024-05-26 16:13:59,666] - INFO: Evaluation over. +[2024-05-26 16:14:20,633] - INFO: Epoch 2766/9999, Iter 276520: Loss = 0.01979956217110157, lr = [1.25e-05] +[2024-05-26 16:14:47,795] - INFO: Epoch 2766/9999, Iter 276560: Loss = 0.011270147748291492, lr = [1.25e-05] +[2024-05-26 16:15:16,377] - INFO: Epoch 2767/9999, Iter 276600: Loss = 0.007116531953215599, lr = [1.25e-05] +[2024-05-26 16:15:43,602] - INFO: Epoch 2767/9999, Iter 276640: Loss = 0.019496798515319824, lr = [1.25e-05] +[2024-05-26 16:16:10,816] - INFO: Epoch 2767/9999, Iter 276680: Loss = 0.008408688008785248, lr = [1.25e-05] +[2024-05-26 16:16:39,550] - INFO: Epoch 2768/9999, Iter 276720: Loss = 0.014558983966708183, lr = [1.25e-05] +[2024-05-26 16:17:06,782] - INFO: Epoch 2768/9999, Iter 276760: Loss = 0.016492599621415138, lr = [1.25e-05] +[2024-05-26 16:17:35,377] - INFO: Epoch 2769/9999, Iter 276800: Loss = 0.018952272832393646, lr = [1.25e-05] +[2024-05-26 16:18:02,694] - INFO: Epoch 2769/9999, Iter 276840: Loss = 0.015355877578258514, lr = [1.25e-05] +[2024-05-26 16:18:29,967] - INFO: Epoch 2769/9999, Iter 276880: Loss = 0.012881592847406864, lr = [1.25e-05] +[2024-05-26 16:18:58,579] - INFO: Epoch 2770/9999, Iter 276920: Loss = 0.011314880102872849, lr = [1.25e-05] +[2024-05-26 16:19:25,803] - INFO: Epoch 2770/9999, Iter 276960: Loss = 0.019889352843165398, lr = [1.25e-05] +[2024-05-26 16:19:52,686] - INFO: Evaluate at epoch 2770! +[2024-05-26 16:19:57,442] - INFO: Eval PSNR (max): 38.236 (2670) SSIM (max): 0.9617 (2715) +[2024-05-26 16:19:57,442] - INFO: Eval PSNR (current): 38.231 (2770) SSIM (current): 0.9617 (2770) +[2024-05-26 16:19:57,442] - INFO: Evaluation over. +[2024-05-26 16:20:04,398] - INFO: Epoch 2771/9999, Iter 277000: Loss = 0.017327437177300453, lr = [1.25e-05] +[2024-05-26 16:20:31,773] - INFO: Epoch 2771/9999, Iter 277040: Loss = 0.01624111644923687, lr = [1.25e-05] +[2024-05-26 16:20:59,003] - INFO: Epoch 2771/9999, Iter 277080: Loss = 0.011855524964630604, lr = [1.25e-05] +[2024-05-26 16:21:27,591] - INFO: Epoch 2772/9999, Iter 277120: Loss = 0.006370760966092348, lr = [1.25e-05] +[2024-05-26 16:21:54,797] - INFO: Epoch 2772/9999, Iter 277160: Loss = 0.012753120623528957, lr = [1.25e-05] +[2024-05-26 16:22:23,329] - INFO: Epoch 2773/9999, Iter 277200: Loss = 0.010677828453481197, lr = [1.25e-05] +[2024-05-26 16:22:50,575] - INFO: Epoch 2773/9999, Iter 277240: Loss = 0.008447752334177494, lr = [1.25e-05] +[2024-05-26 16:23:17,830] - INFO: Epoch 2773/9999, Iter 277280: Loss = 0.014341545291244984, lr = [1.25e-05] +[2024-05-26 16:23:46,493] - INFO: Epoch 2774/9999, Iter 277320: Loss = 0.012429502792656422, lr = [1.25e-05] +[2024-05-26 16:24:13,675] - INFO: Epoch 2774/9999, Iter 277360: Loss = 0.009834475815296173, lr = [1.25e-05] +[2024-05-26 16:24:42,193] - INFO: Epoch 2775/9999, Iter 277400: Loss = 0.01995953358709812, lr = [1.25e-05] +[2024-05-26 16:25:09,598] - INFO: Epoch 2775/9999, Iter 277440: Loss = 0.011258185841143131, lr = [1.25e-05] +[2024-05-26 16:25:36,782] - INFO: Epoch 2775/9999, Iter 277480: Loss = 0.012932311743497849, lr = [1.25e-05] +[2024-05-26 16:25:50,071] - INFO: Evaluate at epoch 2775! +[2024-05-26 16:25:54,804] - INFO: Eval PSNR (max): 38.236 (2670) SSIM (max): 0.9617 (2715) +[2024-05-26 16:25:54,804] - INFO: Eval PSNR (current): 38.216 (2775) SSIM (current): 0.9617 (2775) +[2024-05-26 16:25:54,804] - INFO: Evaluation over. +[2024-05-26 16:26:15,398] - INFO: Epoch 2776/9999, Iter 277520: Loss = 0.010886585339903831, lr = [1.25e-05] +[2024-05-26 16:26:42,626] - INFO: Epoch 2776/9999, Iter 277560: Loss = 0.017314059659838676, lr = [1.25e-05] +[2024-05-26 16:27:11,189] - INFO: Epoch 2777/9999, Iter 277600: Loss = 0.01764603704214096, lr = [1.25e-05] +[2024-05-26 16:27:38,478] - INFO: Epoch 2777/9999, Iter 277640: Loss = 0.017510630190372467, lr = [1.25e-05] +[2024-05-26 16:28:05,670] - INFO: Epoch 2777/9999, Iter 277680: Loss = 0.009037502110004425, lr = [1.25e-05] +[2024-05-26 16:28:34,519] - INFO: Epoch 2778/9999, Iter 277720: Loss = 0.008721754886209965, lr = [1.25e-05] +[2024-05-26 16:29:01,732] - INFO: Epoch 2778/9999, Iter 277760: Loss = 0.01157665066421032, lr = [1.25e-05] +[2024-05-26 16:29:30,492] - INFO: Epoch 2779/9999, Iter 277800: Loss = 0.019368436187505722, lr = [1.25e-05] +[2024-05-26 16:29:57,791] - INFO: Epoch 2779/9999, Iter 277840: Loss = 0.025360168889164925, lr = [1.25e-05] +[2024-05-26 16:30:24,975] - INFO: Epoch 2779/9999, Iter 277880: Loss = 0.018348390236496925, lr = [1.25e-05] +[2024-05-26 16:30:53,673] - INFO: Epoch 2780/9999, Iter 277920: Loss = 0.01821310631930828, lr = [1.25e-05] +[2024-05-26 16:31:20,866] - INFO: Epoch 2780/9999, Iter 277960: Loss = 0.012957647442817688, lr = [1.25e-05] +[2024-05-26 16:31:47,894] - INFO: Evaluate at epoch 2780! +[2024-05-26 16:31:52,707] - INFO: Eval PSNR (max): 38.236 (2670) SSIM (max): 0.9617 (2715) +[2024-05-26 16:31:52,707] - INFO: Eval PSNR (current): 38.219 (2780) SSIM (current): 0.9617 (2780) +[2024-05-26 16:31:52,707] - INFO: Evaluation over. +[2024-05-26 16:31:59,428] - INFO: Epoch 2781/9999, Iter 278000: Loss = 0.013096759095788002, lr = [1.25e-05] +[2024-05-26 16:32:26,771] - INFO: Epoch 2781/9999, Iter 278040: Loss = 0.015025000087916851, lr = [1.25e-05] +[2024-05-26 16:32:54,000] - INFO: Epoch 2781/9999, Iter 278080: Loss = 0.020057521760463715, lr = [1.25e-05] +[2024-05-26 16:33:22,658] - INFO: Epoch 2782/9999, Iter 278120: Loss = 0.01980343647301197, lr = [1.25e-05] +[2024-05-26 16:33:49,864] - INFO: Epoch 2782/9999, Iter 278160: Loss = 0.01994974911212921, lr = [1.25e-05] +[2024-05-26 16:34:18,596] - INFO: Epoch 2783/9999, Iter 278200: Loss = 0.010947984643280506, lr = [1.25e-05] +[2024-05-26 16:34:45,827] - INFO: Epoch 2783/9999, Iter 278240: Loss = 0.02312936633825302, lr = [1.25e-05] +[2024-05-26 16:35:13,035] - INFO: Epoch 2783/9999, Iter 278280: Loss = 0.015929581597447395, lr = [1.25e-05] +[2024-05-26 16:35:41,741] - INFO: Epoch 2784/9999, Iter 278320: Loss = 0.008998985402286053, lr = [1.25e-05] +[2024-05-26 16:36:08,880] - INFO: Epoch 2784/9999, Iter 278360: Loss = 0.014330033212900162, lr = [1.25e-05] +[2024-05-26 16:36:37,507] - INFO: Epoch 2785/9999, Iter 278400: Loss = 0.013380519114434719, lr = [1.25e-05] +[2024-05-26 16:37:04,886] - INFO: Epoch 2785/9999, Iter 278440: Loss = 0.009482077322900295, lr = [1.25e-05] +[2024-05-26 16:37:31,999] - INFO: Epoch 2785/9999, Iter 278480: Loss = 0.015488226898014545, lr = [1.25e-05] +[2024-05-26 16:37:45,278] - INFO: Evaluate at epoch 2785! +[2024-05-26 16:37:50,066] - INFO: Eval PSNR (max): 38.236 (2670) SSIM (max): 0.9617 (2715) +[2024-05-26 16:37:50,066] - INFO: Eval PSNR (current): 38.233 (2785) SSIM (current): 0.9617 (2785) +[2024-05-26 16:37:50,066] - INFO: Evaluation over. +[2024-05-26 16:38:10,487] - INFO: Epoch 2786/9999, Iter 278520: Loss = 0.01276844460517168, lr = [1.25e-05] +[2024-05-26 16:38:37,703] - INFO: Epoch 2786/9999, Iter 278560: Loss = 0.02092999592423439, lr = [1.25e-05] +[2024-05-26 16:39:06,226] - INFO: Epoch 2787/9999, Iter 278600: Loss = 0.015144146978855133, lr = [1.25e-05] +[2024-05-26 16:39:33,528] - INFO: Epoch 2787/9999, Iter 278640: Loss = 0.00999744888395071, lr = [1.25e-05] +[2024-05-26 16:40:00,782] - INFO: Epoch 2787/9999, Iter 278680: Loss = 0.01285626646131277, lr = [1.25e-05] +[2024-05-26 16:40:29,582] - INFO: Epoch 2788/9999, Iter 278720: Loss = 0.020340735092759132, lr = [1.25e-05] +[2024-05-26 16:40:56,750] - INFO: Epoch 2788/9999, Iter 278760: Loss = 0.009395104832947254, lr = [1.25e-05] +[2024-05-26 16:41:25,349] - INFO: Epoch 2789/9999, Iter 278800: Loss = 0.012093965895473957, lr = [1.25e-05] +[2024-05-26 16:41:52,637] - INFO: Epoch 2789/9999, Iter 278840: Loss = 0.010687792673707008, lr = [1.25e-05] +[2024-05-26 16:42:19,796] - INFO: Epoch 2789/9999, Iter 278880: Loss = 0.009092097170650959, lr = [1.25e-05] +[2024-05-26 16:42:48,521] - INFO: Epoch 2790/9999, Iter 278920: Loss = 0.010097862221300602, lr = [1.25e-05] +[2024-05-26 16:43:15,662] - INFO: Epoch 2790/9999, Iter 278960: Loss = 0.012584526091814041, lr = [1.25e-05] +[2024-05-26 16:43:42,582] - INFO: Evaluate at epoch 2790! +[2024-05-26 16:43:52,906] - INFO: Eval PSNR (max): 38.238 (2790) SSIM (max): 0.9617 (2715) +[2024-05-26 16:43:52,906] - INFO: Eval PSNR (current): 38.238 (2790) SSIM (current): 0.9617 (2790) +[2024-05-26 16:43:52,906] - INFO: Evaluation over. +[2024-05-26 16:43:59,649] - INFO: Epoch 2791/9999, Iter 279000: Loss = 0.012332789599895477, lr = [1.25e-05] +[2024-05-26 16:44:27,001] - INFO: Epoch 2791/9999, Iter 279040: Loss = 0.02008669450879097, lr = [1.25e-05] +[2024-05-26 16:44:54,198] - INFO: Epoch 2791/9999, Iter 279080: Loss = 0.007131954189389944, lr = [1.25e-05] +[2024-05-26 16:45:22,752] - INFO: Epoch 2792/9999, Iter 279120: Loss = 0.009471860714256763, lr = [1.25e-05] +[2024-05-26 16:45:49,946] - INFO: Epoch 2792/9999, Iter 279160: Loss = 0.009129755198955536, lr = [1.25e-05] +[2024-05-26 16:46:18,385] - INFO: Epoch 2793/9999, Iter 279200: Loss = 0.01298580877482891, lr = [1.25e-05] +[2024-05-26 16:46:45,694] - INFO: Epoch 2793/9999, Iter 279240: Loss = 0.021825216710567474, lr = [1.25e-05] +[2024-05-26 16:47:12,880] - INFO: Epoch 2793/9999, Iter 279280: Loss = 0.016367943957448006, lr = [1.25e-05] +[2024-05-26 16:47:41,430] - INFO: Epoch 2794/9999, Iter 279320: Loss = 0.008918443694710732, lr = [1.25e-05] +[2024-05-26 16:48:08,635] - INFO: Epoch 2794/9999, Iter 279360: Loss = 0.012713886797428131, lr = [1.25e-05] +[2024-05-26 16:48:37,083] - INFO: Epoch 2795/9999, Iter 279400: Loss = 0.01161202508956194, lr = [1.25e-05] +[2024-05-26 16:49:04,385] - INFO: Epoch 2795/9999, Iter 279440: Loss = 0.013247819617390633, lr = [1.25e-05] +[2024-05-26 16:49:31,590] - INFO: Epoch 2795/9999, Iter 279480: Loss = 0.009509297087788582, lr = [1.25e-05] +[2024-05-26 16:49:44,899] - INFO: Evaluate at epoch 2795! +[2024-05-26 16:49:49,659] - INFO: Eval PSNR (max): 38.238 (2790) SSIM (max): 0.9617 (2715) +[2024-05-26 16:49:49,660] - INFO: Eval PSNR (current): 38.230 (2795) SSIM (current): 0.9617 (2795) +[2024-05-26 16:49:49,660] - INFO: Evaluation over. +[2024-05-26 16:50:10,114] - INFO: Epoch 2796/9999, Iter 279520: Loss = 0.0185023732483387, lr = [1.25e-05] +[2024-05-26 16:50:37,295] - INFO: Epoch 2796/9999, Iter 279560: Loss = 0.01473213266581297, lr = [1.25e-05] +[2024-05-26 16:51:05,789] - INFO: Epoch 2797/9999, Iter 279600: Loss = 0.007013820111751556, lr = [1.25e-05] +[2024-05-26 16:51:33,183] - INFO: Epoch 2797/9999, Iter 279640: Loss = 0.007588052656501532, lr = [1.25e-05] +[2024-05-26 16:52:00,443] - INFO: Epoch 2797/9999, Iter 279680: Loss = 0.013183086179196835, lr = [1.25e-05] +[2024-05-26 16:52:29,334] - INFO: Epoch 2798/9999, Iter 279720: Loss = 0.016914211213588715, lr = [1.25e-05] +[2024-05-26 16:52:56,480] - INFO: Epoch 2798/9999, Iter 279760: Loss = 0.011559265665709972, lr = [1.25e-05] +[2024-05-26 16:53:24,954] - INFO: Epoch 2799/9999, Iter 279800: Loss = 0.011050480417907238, lr = [1.25e-05] +[2024-05-26 16:53:52,278] - INFO: Epoch 2799/9999, Iter 279840: Loss = 0.010860011912882328, lr = [1.25e-05] +[2024-05-26 16:54:19,463] - INFO: Epoch 2799/9999, Iter 279880: Loss = 0.00816261675208807, lr = [1.25e-05] +[2024-05-26 16:54:48,151] - INFO: Epoch 2800/9999, Iter 279920: Loss = 0.01086399145424366, lr = [1.25e-05] +[2024-05-26 16:55:15,363] - INFO: Epoch 2800/9999, Iter 279960: Loss = 0.011477724649012089, lr = [1.25e-05] +[2024-05-26 16:55:42,308] - INFO: Evaluate at epoch 2800! +[2024-05-26 16:55:47,143] - INFO: Eval PSNR (max): 38.238 (2790) SSIM (max): 0.9617 (2715) +[2024-05-26 16:55:47,144] - INFO: Eval PSNR (current): 38.222 (2800) SSIM (current): 0.9617 (2800) +[2024-05-26 16:55:47,144] - INFO: Evaluation over. +[2024-05-26 16:55:53,788] - INFO: Epoch 2801/9999, Iter 280000: Loss = 0.00886431336402893, lr = [1.25e-05] +[2024-05-26 16:56:21,071] - INFO: Epoch 2801/9999, Iter 280040: Loss = 0.015167469158768654, lr = [1.25e-05] +[2024-05-26 16:56:48,316] - INFO: Epoch 2801/9999, Iter 280080: Loss = 0.017887910827994347, lr = [1.25e-05] +[2024-05-26 16:57:16,809] - INFO: Epoch 2802/9999, Iter 280120: Loss = 0.015296419151127338, lr = [1.25e-05] +[2024-05-26 16:57:43,955] - INFO: Epoch 2802/9999, Iter 280160: Loss = 0.00924292579293251, lr = [1.25e-05] +[2024-05-26 16:58:12,635] - INFO: Epoch 2803/9999, Iter 280200: Loss = 0.010067062452435493, lr = [1.25e-05] +[2024-05-26 16:58:39,934] - INFO: Epoch 2803/9999, Iter 280240: Loss = 0.011250860057771206, lr = [1.25e-05] +[2024-05-26 16:59:07,137] - INFO: Epoch 2803/9999, Iter 280280: Loss = 0.01772528514266014, lr = [1.25e-05] +[2024-05-26 16:59:35,834] - INFO: Epoch 2804/9999, Iter 280320: Loss = 0.006757562980055809, lr = [1.25e-05] +[2024-05-26 17:00:03,014] - INFO: Epoch 2804/9999, Iter 280360: Loss = 0.014577108435332775, lr = [1.25e-05] +[2024-05-26 17:00:31,545] - INFO: Epoch 2805/9999, Iter 280400: Loss = 0.008189721032977104, lr = [1.25e-05] +[2024-05-26 17:00:58,848] - INFO: Epoch 2805/9999, Iter 280440: Loss = 0.011345203034579754, lr = [1.25e-05] +[2024-05-26 17:01:26,079] - INFO: Epoch 2805/9999, Iter 280480: Loss = 0.012868612073361874, lr = [1.25e-05] +[2024-05-26 17:01:39,376] - INFO: Evaluate at epoch 2805! +[2024-05-26 17:01:44,176] - INFO: Eval PSNR (max): 38.238 (2790) SSIM (max): 0.9617 (2715) +[2024-05-26 17:01:44,176] - INFO: Eval PSNR (current): 38.225 (2805) SSIM (current): 0.9617 (2805) +[2024-05-26 17:01:44,176] - INFO: Evaluation over. +[2024-05-26 17:02:04,779] - INFO: Epoch 2806/9999, Iter 280520: Loss = 0.012720385566353798, lr = [1.25e-05] +[2024-05-26 17:02:31,969] - INFO: Epoch 2806/9999, Iter 280560: Loss = 0.01597338542342186, lr = [1.25e-05] +[2024-05-26 17:03:00,430] - INFO: Epoch 2807/9999, Iter 280600: Loss = 0.02056117355823517, lr = [1.25e-05] +[2024-05-26 17:03:27,784] - INFO: Epoch 2807/9999, Iter 280640: Loss = 0.02359926886856556, lr = [1.25e-05] +[2024-05-26 17:03:55,013] - INFO: Epoch 2807/9999, Iter 280680: Loss = 0.017603345215320587, lr = [1.25e-05] +[2024-05-26 17:04:24,008] - INFO: Epoch 2808/9999, Iter 280720: Loss = 0.005840206518769264, lr = [1.25e-05] +[2024-05-26 17:04:51,162] - INFO: Epoch 2808/9999, Iter 280760: Loss = 0.012926244176924229, lr = [1.25e-05] +[2024-05-26 17:05:19,735] - INFO: Epoch 2809/9999, Iter 280800: Loss = 0.007817976176738739, lr = [1.25e-05] +[2024-05-26 17:05:46,990] - INFO: Epoch 2809/9999, Iter 280840: Loss = 0.006087285932153463, lr = [1.25e-05] +[2024-05-26 17:06:14,178] - INFO: Epoch 2809/9999, Iter 280880: Loss = 0.00881858728826046, lr = [1.25e-05] +[2024-05-26 17:06:42,883] - INFO: Epoch 2810/9999, Iter 280920: Loss = 0.014710593968629837, lr = [1.25e-05] +[2024-05-26 17:07:10,063] - INFO: Epoch 2810/9999, Iter 280960: Loss = 0.011922873556613922, lr = [1.25e-05] +[2024-05-26 17:07:36,970] - INFO: Evaluate at epoch 2810! +[2024-05-26 17:07:41,763] - INFO: Eval PSNR (max): 38.238 (2790) SSIM (max): 0.9617 (2715) +[2024-05-26 17:07:41,763] - INFO: Eval PSNR (current): 38.212 (2810) SSIM (current): 0.9617 (2810) +[2024-05-26 17:07:41,763] - INFO: Evaluation over. +[2024-05-26 17:07:48,633] - INFO: Epoch 2811/9999, Iter 281000: Loss = 0.014859262853860855, lr = [1.25e-05] +[2024-05-26 17:08:15,998] - INFO: Epoch 2811/9999, Iter 281040: Loss = 0.0077893370762467384, lr = [1.25e-05] +[2024-05-26 17:08:43,171] - INFO: Epoch 2811/9999, Iter 281080: Loss = 0.007687708362936974, lr = [1.25e-05] +[2024-05-26 17:09:11,705] - INFO: Epoch 2812/9999, Iter 281120: Loss = 0.012211062014102936, lr = [1.25e-05] +[2024-05-26 17:09:38,946] - INFO: Epoch 2812/9999, Iter 281160: Loss = 0.007574874442070723, lr = [1.25e-05] +[2024-05-26 17:10:07,410] - INFO: Epoch 2813/9999, Iter 281200: Loss = 0.010126875713467598, lr = [1.25e-05] +[2024-05-26 17:10:34,652] - INFO: Epoch 2813/9999, Iter 281240: Loss = 0.016229435801506042, lr = [1.25e-05] +[2024-05-26 17:11:01,850] - INFO: Epoch 2813/9999, Iter 281280: Loss = 0.008386571891605854, lr = [1.25e-05] +[2024-05-26 17:11:30,708] - INFO: Epoch 2814/9999, Iter 281320: Loss = 0.009364691562950611, lr = [1.25e-05] +[2024-05-26 17:11:57,898] - INFO: Epoch 2814/9999, Iter 281360: Loss = 0.012860991060733795, lr = [1.25e-05] +[2024-05-26 17:12:26,396] - INFO: Epoch 2815/9999, Iter 281400: Loss = 0.013029346242547035, lr = [1.25e-05] +[2024-05-26 17:12:53,679] - INFO: Epoch 2815/9999, Iter 281440: Loss = 0.007316630333662033, lr = [1.25e-05] +[2024-05-26 17:13:20,867] - INFO: Epoch 2815/9999, Iter 281480: Loss = 0.008480571210384369, lr = [1.25e-05] +[2024-05-26 17:13:34,191] - INFO: Evaluate at epoch 2815! +[2024-05-26 17:13:38,936] - INFO: Eval PSNR (max): 38.238 (2790) SSIM (max): 0.9617 (2715) +[2024-05-26 17:13:38,936] - INFO: Eval PSNR (current): 38.229 (2815) SSIM (current): 0.9617 (2815) +[2024-05-26 17:13:38,936] - INFO: Evaluation over. +[2024-05-26 17:13:59,448] - INFO: Epoch 2816/9999, Iter 281520: Loss = 0.010624872520565987, lr = [1.25e-05] +[2024-05-26 17:14:26,690] - INFO: Epoch 2816/9999, Iter 281560: Loss = 0.015688205137848854, lr = [1.25e-05] +[2024-05-26 17:14:55,313] - INFO: Epoch 2817/9999, Iter 281600: Loss = 0.014692622236907482, lr = [1.25e-05] +[2024-05-26 17:15:22,603] - INFO: Epoch 2817/9999, Iter 281640: Loss = 0.008097074925899506, lr = [1.25e-05] +[2024-05-26 17:15:49,770] - INFO: Epoch 2817/9999, Iter 281680: Loss = 0.007240711245685816, lr = [1.25e-05] +[2024-05-26 17:16:18,335] - INFO: Epoch 2818/9999, Iter 281720: Loss = 0.012670373544096947, lr = [1.25e-05] +[2024-05-26 17:16:45,537] - INFO: Epoch 2818/9999, Iter 281760: Loss = 0.009801632724702358, lr = [1.25e-05] +[2024-05-26 17:17:14,165] - INFO: Epoch 2819/9999, Iter 281800: Loss = 0.012322681955993176, lr = [1.25e-05] +[2024-05-26 17:17:41,426] - INFO: Epoch 2819/9999, Iter 281840: Loss = 0.01745801977813244, lr = [1.25e-05] +[2024-05-26 17:18:08,635] - INFO: Epoch 2819/9999, Iter 281880: Loss = 0.009885537438094616, lr = [1.25e-05] +[2024-05-26 17:18:37,343] - INFO: Epoch 2820/9999, Iter 281920: Loss = 0.012360840104520321, lr = [1.25e-05] +[2024-05-26 17:19:04,489] - INFO: Epoch 2820/9999, Iter 281960: Loss = 0.012375162914395332, lr = [1.25e-05] +[2024-05-26 17:19:31,364] - INFO: Evaluate at epoch 2820! +[2024-05-26 17:19:41,423] - INFO: Eval PSNR (max): 38.238 (2790) SSIM (max): 0.9617 (2820) +[2024-05-26 17:19:41,424] - INFO: Eval PSNR (current): 38.212 (2820) SSIM (current): 0.9617 (2820) +[2024-05-26 17:19:41,424] - INFO: Evaluation over. +[2024-05-26 17:19:48,233] - INFO: Epoch 2821/9999, Iter 282000: Loss = 0.009398726746439934, lr = [1.25e-05] +[2024-05-26 17:20:15,466] - INFO: Epoch 2821/9999, Iter 282040: Loss = 0.010664308443665504, lr = [1.25e-05] +[2024-05-26 17:20:42,674] - INFO: Epoch 2821/9999, Iter 282080: Loss = 0.0076326341368258, lr = [1.25e-05] +[2024-05-26 17:21:11,315] - INFO: Epoch 2822/9999, Iter 282120: Loss = 0.010772321373224258, lr = [1.25e-05] +[2024-05-26 17:21:38,551] - INFO: Epoch 2822/9999, Iter 282160: Loss = 0.016497258096933365, lr = [1.25e-05] +[2024-05-26 17:22:07,275] - INFO: Epoch 2823/9999, Iter 282200: Loss = 0.013939703814685345, lr = [1.25e-05] +[2024-05-26 17:22:34,523] - INFO: Epoch 2823/9999, Iter 282240: Loss = 0.015597162768244743, lr = [1.25e-05] +[2024-05-26 17:23:01,719] - INFO: Epoch 2823/9999, Iter 282280: Loss = 0.014678334817290306, lr = [1.25e-05] +[2024-05-26 17:23:30,511] - INFO: Epoch 2824/9999, Iter 282320: Loss = 0.015420584939420223, lr = [1.25e-05] +[2024-05-26 17:23:57,694] - INFO: Epoch 2824/9999, Iter 282360: Loss = 0.008472572080790997, lr = [1.25e-05] +[2024-05-26 17:24:26,276] - INFO: Epoch 2825/9999, Iter 282400: Loss = 0.01474869716912508, lr = [1.25e-05] +[2024-05-26 17:24:53,702] - INFO: Epoch 2825/9999, Iter 282440: Loss = 0.010269363410770893, lr = [1.25e-05] +[2024-05-26 17:25:20,883] - INFO: Epoch 2825/9999, Iter 282480: Loss = 0.009241025894880295, lr = [1.25e-05] +[2024-05-26 17:25:34,162] - INFO: Evaluate at epoch 2825! +[2024-05-26 17:25:39,026] - INFO: Eval PSNR (max): 38.238 (2790) SSIM (max): 0.9617 (2820) +[2024-05-26 17:25:39,027] - INFO: Eval PSNR (current): 38.211 (2825) SSIM (current): 0.9617 (2825) +[2024-05-26 17:25:39,027] - INFO: Evaluation over. +[2024-05-26 17:25:59,542] - INFO: Epoch 2826/9999, Iter 282520: Loss = 0.016240213066339493, lr = [1.25e-05] +[2024-05-26 17:26:26,737] - INFO: Epoch 2826/9999, Iter 282560: Loss = 0.01512078195810318, lr = [1.25e-05] +[2024-05-26 17:26:55,176] - INFO: Epoch 2827/9999, Iter 282600: Loss = 0.013805287890136242, lr = [1.25e-05] +[2024-05-26 17:27:22,473] - INFO: Epoch 2827/9999, Iter 282640: Loss = 0.012270844541490078, lr = [1.25e-05] +[2024-05-26 17:27:49,650] - INFO: Epoch 2827/9999, Iter 282680: Loss = 0.016250766813755035, lr = [1.25e-05] +[2024-05-26 17:28:18,452] - INFO: Epoch 2828/9999, Iter 282720: Loss = 0.010758903808891773, lr = [1.25e-05] +[2024-05-26 17:28:45,642] - INFO: Epoch 2828/9999, Iter 282760: Loss = 0.017748910933732986, lr = [1.25e-05] +[2024-05-26 17:29:14,471] - INFO: Epoch 2829/9999, Iter 282800: Loss = 0.010334431193768978, lr = [1.25e-05] +[2024-05-26 17:29:41,703] - INFO: Epoch 2829/9999, Iter 282840: Loss = 0.020140064880251884, lr = [1.25e-05] +[2024-05-26 17:30:08,857] - INFO: Epoch 2829/9999, Iter 282880: Loss = 0.011220095679163933, lr = [1.25e-05] +[2024-05-26 17:30:37,502] - INFO: Epoch 2830/9999, Iter 282920: Loss = 0.012360178865492344, lr = [1.25e-05] +[2024-05-26 17:31:04,722] - INFO: Epoch 2830/9999, Iter 282960: Loss = 0.010108930058777332, lr = [1.25e-05] +[2024-05-26 17:31:31,656] - INFO: Evaluate at epoch 2830! +[2024-05-26 17:31:36,480] - INFO: Eval PSNR (max): 38.238 (2790) SSIM (max): 0.9617 (2820) +[2024-05-26 17:31:36,480] - INFO: Eval PSNR (current): 38.202 (2830) SSIM (current): 0.9617 (2830) +[2024-05-26 17:31:36,480] - INFO: Evaluation over. +[2024-05-26 17:31:43,436] - INFO: Epoch 2831/9999, Iter 283000: Loss = 0.016937807202339172, lr = [1.25e-05] +[2024-05-26 17:32:10,716] - INFO: Epoch 2831/9999, Iter 283040: Loss = 0.012458208948373795, lr = [1.25e-05] +[2024-05-26 17:32:37,905] - INFO: Epoch 2831/9999, Iter 283080: Loss = 0.022806119173765182, lr = [1.25e-05] +[2024-05-26 17:33:06,443] - INFO: Epoch 2832/9999, Iter 283120: Loss = 0.008830529637634754, lr = [1.25e-05] +[2024-05-26 17:33:33,616] - INFO: Epoch 2832/9999, Iter 283160: Loss = 0.01672613061964512, lr = [1.25e-05] +[2024-05-26 17:34:02,179] - INFO: Epoch 2833/9999, Iter 283200: Loss = 0.01179402507841587, lr = [1.25e-05] +[2024-05-26 17:34:29,474] - INFO: Epoch 2833/9999, Iter 283240: Loss = 0.012620876543223858, lr = [1.25e-05] +[2024-05-26 17:34:56,706] - INFO: Epoch 2833/9999, Iter 283280: Loss = 0.00694979727268219, lr = [1.25e-05] +[2024-05-26 17:35:25,358] - INFO: Epoch 2834/9999, Iter 283320: Loss = 0.011619335040450096, lr = [1.25e-05] +[2024-05-26 17:35:52,482] - INFO: Epoch 2834/9999, Iter 283360: Loss = 0.010616939514875412, lr = [1.25e-05] +[2024-05-26 17:36:20,908] - INFO: Epoch 2835/9999, Iter 283400: Loss = 0.02693251334130764, lr = [1.25e-05] +[2024-05-26 17:36:48,255] - INFO: Epoch 2835/9999, Iter 283440: Loss = 0.007625303231179714, lr = [1.25e-05] +[2024-05-26 17:37:15,422] - INFO: Epoch 2835/9999, Iter 283480: Loss = 0.016202915459871292, lr = [1.25e-05] +[2024-05-26 17:37:28,709] - INFO: Evaluate at epoch 2835! +[2024-05-26 17:37:33,616] - INFO: Eval PSNR (max): 38.238 (2790) SSIM (max): 0.9617 (2820) +[2024-05-26 17:37:33,616] - INFO: Eval PSNR (current): 38.234 (2835) SSIM (current): 0.9617 (2835) +[2024-05-26 17:37:33,616] - INFO: Evaluation over. +[2024-05-26 17:37:54,282] - INFO: Epoch 2836/9999, Iter 283520: Loss = 0.009794753976166248, lr = [1.25e-05] +[2024-05-26 17:38:21,522] - INFO: Epoch 2836/9999, Iter 283560: Loss = 0.010305119678378105, lr = [1.25e-05] +[2024-05-26 17:38:50,176] - INFO: Epoch 2837/9999, Iter 283600: Loss = 0.020256947726011276, lr = [1.25e-05] +[2024-05-26 17:39:17,435] - INFO: Epoch 2837/9999, Iter 283640: Loss = 0.009462163783609867, lr = [1.25e-05] +[2024-05-26 17:39:44,599] - INFO: Epoch 2837/9999, Iter 283680: Loss = 0.008681796491146088, lr = [1.25e-05] +[2024-05-26 17:40:13,474] - INFO: Epoch 2838/9999, Iter 283720: Loss = 0.00818751659244299, lr = [1.25e-05] +[2024-05-26 17:40:40,653] - INFO: Epoch 2838/9999, Iter 283760: Loss = 0.017250046133995056, lr = [1.25e-05] +[2024-05-26 17:41:09,578] - INFO: Epoch 2839/9999, Iter 283800: Loss = 0.018367407843470573, lr = [1.25e-05] +[2024-05-26 17:41:36,815] - INFO: Epoch 2839/9999, Iter 283840: Loss = 0.013626317493617535, lr = [1.25e-05] +[2024-05-26 17:42:03,987] - INFO: Epoch 2839/9999, Iter 283880: Loss = 0.017544742673635483, lr = [1.25e-05] +[2024-05-26 17:42:32,649] - INFO: Epoch 2840/9999, Iter 283920: Loss = 0.009452026337385178, lr = [1.25e-05] +[2024-05-26 17:42:59,855] - INFO: Epoch 2840/9999, Iter 283960: Loss = 0.013517347164452076, lr = [1.25e-05] +[2024-05-26 17:43:26,797] - INFO: Evaluate at epoch 2840! +[2024-05-26 17:43:31,487] - INFO: Eval PSNR (max): 38.238 (2790) SSIM (max): 0.9617 (2820) +[2024-05-26 17:43:31,487] - INFO: Eval PSNR (current): 38.218 (2840) SSIM (current): 0.9617 (2840) +[2024-05-26 17:43:31,487] - INFO: Evaluation over. +[2024-05-26 17:43:38,412] - INFO: Epoch 2841/9999, Iter 284000: Loss = 0.013331941328942776, lr = [1.25e-05] +[2024-05-26 17:44:05,683] - INFO: Epoch 2841/9999, Iter 284040: Loss = 0.006693430710583925, lr = [1.25e-05] +[2024-05-26 17:44:32,919] - INFO: Epoch 2841/9999, Iter 284080: Loss = 0.014329032972455025, lr = [1.25e-05] +[2024-05-26 17:45:01,742] - INFO: Epoch 2842/9999, Iter 284120: Loss = 0.009474717080593109, lr = [1.25e-05] +[2024-05-26 17:45:28,990] - INFO: Epoch 2842/9999, Iter 284160: Loss = 0.013539372943341732, lr = [1.25e-05] +[2024-05-26 17:45:57,514] - INFO: Epoch 2843/9999, Iter 284200: Loss = 0.012463758699595928, lr = [1.25e-05] +[2024-05-26 17:46:24,744] - INFO: Epoch 2843/9999, Iter 284240: Loss = 0.010695016011595726, lr = [1.25e-05] +[2024-05-26 17:46:51,882] - INFO: Epoch 2843/9999, Iter 284280: Loss = 0.014825484715402126, lr = [1.25e-05] +[2024-05-26 17:47:20,598] - INFO: Epoch 2844/9999, Iter 284320: Loss = 0.00837838463485241, lr = [1.25e-05] +[2024-05-26 17:47:47,767] - INFO: Epoch 2844/9999, Iter 284360: Loss = 0.009444584138691425, lr = [1.25e-05] +[2024-05-26 17:48:16,355] - INFO: Epoch 2845/9999, Iter 284400: Loss = 0.004257057793438435, lr = [1.25e-05] +[2024-05-26 17:48:43,595] - INFO: Epoch 2845/9999, Iter 284440: Loss = 0.009235595352947712, lr = [1.25e-05] +[2024-05-26 17:49:10,751] - INFO: Epoch 2845/9999, Iter 284480: Loss = 0.01086426991969347, lr = [1.25e-05] +[2024-05-26 17:49:24,064] - INFO: Evaluate at epoch 2845! +[2024-05-26 17:49:28,833] - INFO: Eval PSNR (max): 38.238 (2790) SSIM (max): 0.9617 (2820) +[2024-05-26 17:49:28,833] - INFO: Eval PSNR (current): 38.233 (2845) SSIM (current): 0.9617 (2845) +[2024-05-26 17:49:28,833] - INFO: Evaluation over. +[2024-05-26 17:49:49,268] - INFO: Epoch 2846/9999, Iter 284520: Loss = 0.007713924627751112, lr = [1.25e-05] +[2024-05-26 17:50:16,471] - INFO: Epoch 2846/9999, Iter 284560: Loss = 0.012438531033694744, lr = [1.25e-05] +[2024-05-26 17:50:44,949] - INFO: Epoch 2847/9999, Iter 284600: Loss = 0.018358170986175537, lr = [1.25e-05] +[2024-05-26 17:51:12,222] - INFO: Epoch 2847/9999, Iter 284640: Loss = 0.004912198521196842, lr = [1.25e-05] +[2024-05-26 17:51:39,422] - INFO: Epoch 2847/9999, Iter 284680: Loss = 0.01805197261273861, lr = [1.25e-05] +[2024-05-26 17:52:08,006] - INFO: Epoch 2848/9999, Iter 284720: Loss = 0.007872585207223892, lr = [1.25e-05] +[2024-05-26 17:52:35,207] - INFO: Epoch 2848/9999, Iter 284760: Loss = 0.016414232552051544, lr = [1.25e-05] +[2024-05-26 17:53:03,932] - INFO: Epoch 2849/9999, Iter 284800: Loss = 0.006419877056032419, lr = [1.25e-05] +[2024-05-26 17:53:31,258] - INFO: Epoch 2849/9999, Iter 284840: Loss = 0.01273421198129654, lr = [1.25e-05] +[2024-05-26 17:53:58,406] - INFO: Epoch 2849/9999, Iter 284880: Loss = 0.01574055850505829, lr = [1.25e-05] +[2024-05-26 17:54:26,913] - INFO: Epoch 2850/9999, Iter 284920: Loss = 0.012680212035775185, lr = [1.25e-05] +[2024-05-26 17:54:54,083] - INFO: Epoch 2850/9999, Iter 284960: Loss = 0.013043880462646484, lr = [1.25e-05] +[2024-05-26 17:55:20,970] - INFO: Evaluate at epoch 2850! +[2024-05-26 17:55:25,663] - INFO: Eval PSNR (max): 38.238 (2790) SSIM (max): 0.9617 (2820) +[2024-05-26 17:55:25,663] - INFO: Eval PSNR (current): 38.196 (2850) SSIM (current): 0.9615 (2850) +[2024-05-26 17:55:25,663] - INFO: Evaluation over. +[2024-05-26 17:55:32,451] - INFO: Epoch 2851/9999, Iter 285000: Loss = 0.01039922796189785, lr = [1.25e-05] +[2024-05-26 17:55:59,754] - INFO: Epoch 2851/9999, Iter 285040: Loss = 0.017476584762334824, lr = [1.25e-05] +[2024-05-26 17:56:26,942] - INFO: Epoch 2851/9999, Iter 285080: Loss = 0.003908293787389994, lr = [1.25e-05] +[2024-05-26 17:56:55,706] - INFO: Epoch 2852/9999, Iter 285120: Loss = 0.021083394065499306, lr = [1.25e-05] +[2024-05-26 17:57:22,932] - INFO: Epoch 2852/9999, Iter 285160: Loss = 0.010845665819942951, lr = [1.25e-05] +[2024-05-26 17:57:51,523] - INFO: Epoch 2853/9999, Iter 285200: Loss = 0.00947299413383007, lr = [1.25e-05] +[2024-05-26 17:58:18,903] - INFO: Epoch 2853/9999, Iter 285240: Loss = 0.014758210629224777, lr = [1.25e-05] +[2024-05-26 17:58:46,099] - INFO: Epoch 2853/9999, Iter 285280: Loss = 0.01320493221282959, lr = [1.25e-05] +[2024-05-26 17:59:14,755] - INFO: Epoch 2854/9999, Iter 285320: Loss = 0.017078768461942673, lr = [1.25e-05] +[2024-05-26 17:59:41,962] - INFO: Epoch 2854/9999, Iter 285360: Loss = 0.012499552220106125, lr = [1.25e-05] +[2024-05-26 18:00:10,579] - INFO: Epoch 2855/9999, Iter 285400: Loss = 0.009665626101195812, lr = [1.25e-05] +[2024-05-26 18:00:37,821] - INFO: Epoch 2855/9999, Iter 285440: Loss = 0.020285943523049355, lr = [1.25e-05] +[2024-05-26 18:01:05,097] - INFO: Epoch 2855/9999, Iter 285480: Loss = 0.006456334143877029, lr = [1.25e-05] +[2024-05-26 18:01:18,392] - INFO: Evaluate at epoch 2855! +[2024-05-26 18:01:28,577] - INFO: Eval PSNR (max): 38.238 (2855) SSIM (max): 0.9617 (2820) +[2024-05-26 18:01:28,577] - INFO: Eval PSNR (current): 38.238 (2855) SSIM (current): 0.9617 (2855) +[2024-05-26 18:01:28,578] - INFO: Evaluation over. +[2024-05-26 18:01:49,034] - INFO: Epoch 2856/9999, Iter 285520: Loss = 0.013888543471693993, lr = [1.25e-05] +[2024-05-26 18:02:16,190] - INFO: Epoch 2856/9999, Iter 285560: Loss = 0.01839500106871128, lr = [1.25e-05] +[2024-05-26 18:02:44,707] - INFO: Epoch 2857/9999, Iter 285600: Loss = 0.016068115830421448, lr = [1.25e-05] +[2024-05-26 18:03:12,066] - INFO: Epoch 2857/9999, Iter 285640: Loss = 0.01903374120593071, lr = [1.25e-05] +[2024-05-26 18:03:39,309] - INFO: Epoch 2857/9999, Iter 285680: Loss = 0.005257694981992245, lr = [1.25e-05] +[2024-05-26 18:04:08,111] - INFO: Epoch 2858/9999, Iter 285720: Loss = 0.012394929304718971, lr = [1.25e-05] +[2024-05-26 18:04:35,388] - INFO: Epoch 2858/9999, Iter 285760: Loss = 0.006704576779156923, lr = [1.25e-05] +[2024-05-26 18:05:03,940] - INFO: Epoch 2859/9999, Iter 285800: Loss = 0.02443617954850197, lr = [1.25e-05] +[2024-05-26 18:05:31,246] - INFO: Epoch 2859/9999, Iter 285840: Loss = 0.014991728588938713, lr = [1.25e-05] +[2024-05-26 18:05:58,456] - INFO: Epoch 2859/9999, Iter 285880: Loss = 0.006919323932379484, lr = [1.25e-05] +[2024-05-26 18:06:27,145] - INFO: Epoch 2860/9999, Iter 285920: Loss = 0.01698816567659378, lr = [1.25e-05] +[2024-05-26 18:06:54,332] - INFO: Epoch 2860/9999, Iter 285960: Loss = 0.01639140024781227, lr = [1.25e-05] +[2024-05-26 18:07:21,206] - INFO: Evaluate at epoch 2860! +[2024-05-26 18:07:36,385] - INFO: Eval PSNR (max): 38.245 (2860) SSIM (max): 0.9618 (2860) +[2024-05-26 18:07:36,385] - INFO: Eval PSNR (current): 38.245 (2860) SSIM (current): 0.9618 (2860) +[2024-05-26 18:07:36,386] - INFO: Evaluation over. +[2024-05-26 18:07:43,156] - INFO: Epoch 2861/9999, Iter 286000: Loss = 0.011850576847791672, lr = [1.25e-05] +[2024-05-26 18:08:10,451] - INFO: Epoch 2861/9999, Iter 286040: Loss = 0.004660275299102068, lr = [1.25e-05] +[2024-05-26 18:08:37,655] - INFO: Epoch 2861/9999, Iter 286080: Loss = 0.01164053101092577, lr = [1.25e-05] +[2024-05-26 18:09:06,314] - INFO: Epoch 2862/9999, Iter 286120: Loss = 0.011180545203387737, lr = [1.25e-05] +[2024-05-26 18:09:33,478] - INFO: Epoch 2862/9999, Iter 286160: Loss = 0.012136607430875301, lr = [1.25e-05] +[2024-05-26 18:10:02,050] - INFO: Epoch 2863/9999, Iter 286200: Loss = 0.015512875281274319, lr = [1.25e-05] +[2024-05-26 18:10:29,238] - INFO: Epoch 2863/9999, Iter 286240: Loss = 0.009562005288898945, lr = [1.25e-05] +[2024-05-26 18:10:56,420] - INFO: Epoch 2863/9999, Iter 286280: Loss = 0.025360584259033203, lr = [1.25e-05] +[2024-05-26 18:11:25,231] - INFO: Epoch 2864/9999, Iter 286320: Loss = 0.009277586825191975, lr = [1.25e-05] +[2024-05-26 18:11:52,510] - INFO: Epoch 2864/9999, Iter 286360: Loss = 0.013329867273569107, lr = [1.25e-05] +[2024-05-26 18:12:20,924] - INFO: Epoch 2865/9999, Iter 286400: Loss = 0.009920189157128334, lr = [1.25e-05] +[2024-05-26 18:12:48,215] - INFO: Epoch 2865/9999, Iter 286440: Loss = 0.009236802347004414, lr = [1.25e-05] +[2024-05-26 18:13:15,411] - INFO: Epoch 2865/9999, Iter 286480: Loss = 0.013236720114946365, lr = [1.25e-05] +[2024-05-26 18:13:28,672] - INFO: Evaluate at epoch 2865! +[2024-05-26 18:13:38,715] - INFO: Eval PSNR (max): 38.246 (2865) SSIM (max): 0.9618 (2860) +[2024-05-26 18:13:38,715] - INFO: Eval PSNR (current): 38.246 (2865) SSIM (current): 0.9618 (2865) +[2024-05-26 18:13:38,715] - INFO: Evaluation over. +[2024-05-26 18:13:58,984] - INFO: Epoch 2866/9999, Iter 286520: Loss = 0.009203336201608181, lr = [1.25e-05] +[2024-05-26 18:14:26,224] - INFO: Epoch 2866/9999, Iter 286560: Loss = 0.015984870493412018, lr = [1.25e-05] +[2024-05-26 18:14:54,764] - INFO: Epoch 2867/9999, Iter 286600: Loss = 0.012058715336024761, lr = [1.25e-05] +[2024-05-26 18:15:22,038] - INFO: Epoch 2867/9999, Iter 286640: Loss = 0.008738056756556034, lr = [1.25e-05] +[2024-05-26 18:15:49,238] - INFO: Epoch 2867/9999, Iter 286680: Loss = 0.016184819862246513, lr = [1.25e-05] +[2024-05-26 18:16:17,994] - INFO: Epoch 2868/9999, Iter 286720: Loss = 0.015801729634404182, lr = [1.25e-05] +[2024-05-26 18:16:45,262] - INFO: Epoch 2868/9999, Iter 286760: Loss = 0.01471217256039381, lr = [1.25e-05] +[2024-05-26 18:17:13,646] - INFO: Epoch 2869/9999, Iter 286800: Loss = 0.01248976495116949, lr = [1.25e-05] +[2024-05-26 18:17:40,875] - INFO: Epoch 2869/9999, Iter 286840: Loss = 0.01440976932644844, lr = [1.25e-05] +[2024-05-26 18:18:08,110] - INFO: Epoch 2869/9999, Iter 286880: Loss = 0.006885880138725042, lr = [1.25e-05] +[2024-05-26 18:18:36,620] - INFO: Epoch 2870/9999, Iter 286920: Loss = 0.020301196724176407, lr = [1.25e-05] +[2024-05-26 18:19:03,878] - INFO: Epoch 2870/9999, Iter 286960: Loss = 0.01060866191983223, lr = [1.25e-05] +[2024-05-26 18:19:30,715] - INFO: Evaluate at epoch 2870! +[2024-05-26 18:19:35,512] - INFO: Eval PSNR (max): 38.246 (2865) SSIM (max): 0.9618 (2860) +[2024-05-26 18:19:35,512] - INFO: Eval PSNR (current): 38.243 (2870) SSIM (current): 0.9617 (2870) +[2024-05-26 18:19:35,512] - INFO: Evaluation over. +[2024-05-26 18:19:42,244] - INFO: Epoch 2871/9999, Iter 287000: Loss = 0.01144859567284584, lr = [1.25e-05] +[2024-05-26 18:20:09,653] - INFO: Epoch 2871/9999, Iter 287040: Loss = 0.021769283339381218, lr = [1.25e-05] +[2024-05-26 18:20:36,805] - INFO: Epoch 2871/9999, Iter 287080: Loss = 0.00815552193671465, lr = [1.25e-05] +[2024-05-26 18:21:05,616] - INFO: Epoch 2872/9999, Iter 287120: Loss = 0.016352327540516853, lr = [1.25e-05] +[2024-05-26 18:21:32,784] - INFO: Epoch 2872/9999, Iter 287160: Loss = 0.013514886610209942, lr = [1.25e-05] +[2024-05-26 18:22:01,539] - INFO: Epoch 2873/9999, Iter 287200: Loss = 0.007821718230843544, lr = [1.25e-05] +[2024-05-26 18:22:28,863] - INFO: Epoch 2873/9999, Iter 287240: Loss = 0.003375100903213024, lr = [1.25e-05] +[2024-05-26 18:22:56,039] - INFO: Epoch 2873/9999, Iter 287280: Loss = 0.009509325958788395, lr = [1.25e-05] +[2024-05-26 18:23:24,624] - INFO: Epoch 2874/9999, Iter 287320: Loss = 0.018529141321778297, lr = [1.25e-05] +[2024-05-26 18:23:51,870] - INFO: Epoch 2874/9999, Iter 287360: Loss = 0.012137687765061855, lr = [1.25e-05] +[2024-05-26 18:24:20,535] - INFO: Epoch 2875/9999, Iter 287400: Loss = 0.015072308480739594, lr = [1.25e-05] +[2024-05-26 18:24:47,871] - INFO: Epoch 2875/9999, Iter 287440: Loss = 0.009100747294723988, lr = [1.25e-05] +[2024-05-26 18:25:15,089] - INFO: Epoch 2875/9999, Iter 287480: Loss = 0.00990375131368637, lr = [1.25e-05] +[2024-05-26 18:25:28,359] - INFO: Evaluate at epoch 2875! +[2024-05-26 18:25:33,104] - INFO: Eval PSNR (max): 38.246 (2865) SSIM (max): 0.9618 (2860) +[2024-05-26 18:25:33,105] - INFO: Eval PSNR (current): 38.239 (2875) SSIM (current): 0.9617 (2875) +[2024-05-26 18:25:33,105] - INFO: Evaluation over. +[2024-05-26 18:25:53,238] - INFO: Epoch 2876/9999, Iter 287520: Loss = 0.011733333580195904, lr = [1.25e-05] +[2024-05-26 18:26:20,451] - INFO: Epoch 2876/9999, Iter 287560: Loss = 0.0073403227142989635, lr = [1.25e-05] +[2024-05-26 18:26:49,049] - INFO: Epoch 2877/9999, Iter 287600: Loss = 0.020022327080368996, lr = [1.25e-05] +[2024-05-26 18:27:16,275] - INFO: Epoch 2877/9999, Iter 287640: Loss = 0.008174191229045391, lr = [1.25e-05] +[2024-05-26 18:27:43,482] - INFO: Epoch 2877/9999, Iter 287680: Loss = 0.011033784598112106, lr = [1.25e-05] +[2024-05-26 18:28:12,350] - INFO: Epoch 2878/9999, Iter 287720: Loss = 0.009321145713329315, lr = [1.25e-05] +[2024-05-26 18:28:39,557] - INFO: Epoch 2878/9999, Iter 287760: Loss = 0.01668793149292469, lr = [1.25e-05] +[2024-05-26 18:29:07,972] - INFO: Epoch 2879/9999, Iter 287800: Loss = 0.013176909647881985, lr = [1.25e-05] +[2024-05-26 18:29:35,249] - INFO: Epoch 2879/9999, Iter 287840: Loss = 0.015066641382873058, lr = [1.25e-05] +[2024-05-26 18:30:02,486] - INFO: Epoch 2879/9999, Iter 287880: Loss = 0.009716709144413471, lr = [1.25e-05] +[2024-05-26 18:30:31,156] - INFO: Epoch 2880/9999, Iter 287920: Loss = 0.012461717240512371, lr = [1.25e-05] +[2024-05-26 18:30:58,385] - INFO: Epoch 2880/9999, Iter 287960: Loss = 0.010714626871049404, lr = [1.25e-05] +[2024-05-26 18:31:25,280] - INFO: Evaluate at epoch 2880! +[2024-05-26 18:31:30,066] - INFO: Eval PSNR (max): 38.246 (2865) SSIM (max): 0.9618 (2860) +[2024-05-26 18:31:30,067] - INFO: Eval PSNR (current): 38.241 (2880) SSIM (current): 0.9618 (2880) +[2024-05-26 18:31:30,067] - INFO: Evaluation over. +[2024-05-26 18:31:36,948] - INFO: Epoch 2881/9999, Iter 288000: Loss = 0.012488197535276413, lr = [1.25e-05] +[2024-05-26 18:32:04,295] - INFO: Epoch 2881/9999, Iter 288040: Loss = 0.01286960020661354, lr = [1.25e-05] +[2024-05-26 18:32:31,538] - INFO: Epoch 2881/9999, Iter 288080: Loss = 0.013793159276247025, lr = [1.25e-05] +[2024-05-26 18:33:00,258] - INFO: Epoch 2882/9999, Iter 288120: Loss = 0.013128069229424, lr = [1.25e-05] +[2024-05-26 18:33:27,454] - INFO: Epoch 2882/9999, Iter 288160: Loss = 0.01391961146146059, lr = [1.25e-05] +[2024-05-26 18:33:55,911] - INFO: Epoch 2883/9999, Iter 288200: Loss = 0.012914867140352726, lr = [1.25e-05] +[2024-05-26 18:34:23,236] - INFO: Epoch 2883/9999, Iter 288240: Loss = 0.017865143716335297, lr = [1.25e-05] +[2024-05-26 18:34:50,390] - INFO: Epoch 2883/9999, Iter 288280: Loss = 0.014184456318616867, lr = [1.25e-05] +[2024-05-26 18:35:19,333] - INFO: Epoch 2884/9999, Iter 288320: Loss = 0.007394355721771717, lr = [1.25e-05] +[2024-05-26 18:35:46,658] - INFO: Epoch 2884/9999, Iter 288360: Loss = 0.021019015461206436, lr = [1.25e-05] +[2024-05-26 18:36:15,220] - INFO: Epoch 2885/9999, Iter 288400: Loss = 0.014486128464341164, lr = [1.25e-05] +[2024-05-26 18:36:42,556] - INFO: Epoch 2885/9999, Iter 288440: Loss = 0.018593739718198776, lr = [1.25e-05] +[2024-05-26 18:37:09,698] - INFO: Epoch 2885/9999, Iter 288480: Loss = 0.020893989130854607, lr = [1.25e-05] +[2024-05-26 18:37:23,000] - INFO: Evaluate at epoch 2885! +[2024-05-26 18:37:28,114] - INFO: Eval PSNR (max): 38.246 (2865) SSIM (max): 0.9618 (2860) +[2024-05-26 18:37:28,114] - INFO: Eval PSNR (current): 38.240 (2885) SSIM (current): 0.9617 (2885) +[2024-05-26 18:37:28,114] - INFO: Evaluation over. +[2024-05-26 18:37:48,786] - INFO: Epoch 2886/9999, Iter 288520: Loss = 0.00908490177243948, lr = [1.25e-05] +[2024-05-26 18:38:16,014] - INFO: Epoch 2886/9999, Iter 288560: Loss = 0.010008220560848713, lr = [1.25e-05] +[2024-05-26 18:38:44,515] - INFO: Epoch 2887/9999, Iter 288600: Loss = 0.009034390561282635, lr = [1.25e-05] +[2024-05-26 18:39:11,828] - INFO: Epoch 2887/9999, Iter 288640: Loss = 0.014432156458497047, lr = [1.25e-05] +[2024-05-26 18:39:39,114] - INFO: Epoch 2887/9999, Iter 288680: Loss = 0.013309227302670479, lr = [1.25e-05] +[2024-05-26 18:40:07,656] - INFO: Epoch 2888/9999, Iter 288720: Loss = 0.00912053044885397, lr = [1.25e-05] +[2024-05-26 18:40:34,892] - INFO: Epoch 2888/9999, Iter 288760: Loss = 0.011676058173179626, lr = [1.25e-05] +[2024-05-26 18:41:03,344] - INFO: Epoch 2889/9999, Iter 288800: Loss = 0.019258953630924225, lr = [1.25e-05] +[2024-05-26 18:41:30,642] - INFO: Epoch 2889/9999, Iter 288840: Loss = 0.006939461920410395, lr = [1.25e-05] +[2024-05-26 18:41:57,779] - INFO: Epoch 2889/9999, Iter 288880: Loss = 0.009272219613194466, lr = [1.25e-05] +[2024-05-26 18:42:26,312] - INFO: Epoch 2890/9999, Iter 288920: Loss = 0.009143958799540997, lr = [1.25e-05] +[2024-05-26 18:42:53,494] - INFO: Epoch 2890/9999, Iter 288960: Loss = 0.009405151940882206, lr = [1.25e-05] +[2024-05-26 18:43:20,336] - INFO: Evaluate at epoch 2890! +[2024-05-26 18:43:25,015] - INFO: Eval PSNR (max): 38.246 (2865) SSIM (max): 0.9618 (2860) +[2024-05-26 18:43:25,015] - INFO: Eval PSNR (current): 38.236 (2890) SSIM (current): 0.9617 (2890) +[2024-05-26 18:43:25,015] - INFO: Evaluation over. +[2024-05-26 18:43:32,012] - INFO: Epoch 2891/9999, Iter 289000: Loss = 0.0067224022932350636, lr = [1.25e-05] +[2024-05-26 18:43:59,262] - INFO: Epoch 2891/9999, Iter 289040: Loss = 0.015429780818521976, lr = [1.25e-05] +[2024-05-26 18:44:26,511] - INFO: Epoch 2891/9999, Iter 289080: Loss = 0.009010669775307178, lr = [1.25e-05] +[2024-05-26 18:44:55,311] - INFO: Epoch 2892/9999, Iter 289120: Loss = 0.007884740829467773, lr = [1.25e-05] +[2024-05-26 18:45:22,650] - INFO: Epoch 2892/9999, Iter 289160: Loss = 0.01262159738689661, lr = [1.25e-05] +[2024-05-26 18:45:51,101] - INFO: Epoch 2893/9999, Iter 289200: Loss = 0.00587671110406518, lr = [1.25e-05] +[2024-05-26 18:46:18,429] - INFO: Epoch 2893/9999, Iter 289240: Loss = 0.014754068106412888, lr = [1.25e-05] +[2024-05-26 18:46:45,711] - INFO: Epoch 2893/9999, Iter 289280: Loss = 0.014988833107054234, lr = [1.25e-05] +[2024-05-26 18:47:14,366] - INFO: Epoch 2894/9999, Iter 289320: Loss = 0.009120692498981953, lr = [1.25e-05] +[2024-05-26 18:47:41,535] - INFO: Epoch 2894/9999, Iter 289360: Loss = 0.016894442960619926, lr = [1.25e-05] +[2024-05-26 18:48:10,056] - INFO: Epoch 2895/9999, Iter 289400: Loss = 0.01500884722918272, lr = [1.25e-05] +[2024-05-26 18:48:37,259] - INFO: Epoch 2895/9999, Iter 289440: Loss = 0.013812078163027763, lr = [1.25e-05] +[2024-05-26 18:49:04,463] - INFO: Epoch 2895/9999, Iter 289480: Loss = 0.01937522366642952, lr = [1.25e-05] +[2024-05-26 18:49:17,747] - INFO: Evaluate at epoch 2895! +[2024-05-26 18:49:22,517] - INFO: Eval PSNR (max): 38.246 (2865) SSIM (max): 0.9618 (2860) +[2024-05-26 18:49:22,517] - INFO: Eval PSNR (current): 38.215 (2895) SSIM (current): 0.9617 (2895) +[2024-05-26 18:49:22,517] - INFO: Evaluation over. +[2024-05-26 18:49:42,918] - INFO: Epoch 2896/9999, Iter 289520: Loss = 0.01083774957805872, lr = [1.25e-05] +[2024-05-26 18:50:10,157] - INFO: Epoch 2896/9999, Iter 289560: Loss = 0.006086316891014576, lr = [1.25e-05] +[2024-05-26 18:50:38,861] - INFO: Epoch 2897/9999, Iter 289600: Loss = 0.00951977726072073, lr = [1.25e-05] +[2024-05-26 18:51:06,202] - INFO: Epoch 2897/9999, Iter 289640: Loss = 0.008967285044491291, lr = [1.25e-05] +[2024-05-26 18:51:33,367] - INFO: Epoch 2897/9999, Iter 289680: Loss = 0.018558969721198082, lr = [1.25e-05] +[2024-05-26 18:52:02,126] - INFO: Epoch 2898/9999, Iter 289720: Loss = 0.013496963307261467, lr = [1.25e-05] +[2024-05-26 18:52:29,390] - INFO: Epoch 2898/9999, Iter 289760: Loss = 0.013217397034168243, lr = [1.25e-05] +[2024-05-26 18:52:57,953] - INFO: Epoch 2899/9999, Iter 289800: Loss = 0.014464378356933594, lr = [1.25e-05] +[2024-05-26 18:53:25,186] - INFO: Epoch 2899/9999, Iter 289840: Loss = 0.01741844415664673, lr = [1.25e-05] +[2024-05-26 18:53:52,424] - INFO: Epoch 2899/9999, Iter 289880: Loss = 0.01056413259357214, lr = [1.25e-05] +[2024-05-26 18:54:20,932] - INFO: Epoch 2900/9999, Iter 289920: Loss = 0.012823459692299366, lr = [1.25e-05] +[2024-05-26 18:54:48,086] - INFO: Epoch 2900/9999, Iter 289960: Loss = 0.01370221097022295, lr = [1.25e-05] +[2024-05-26 18:55:14,951] - INFO: Evaluate at epoch 2900! +[2024-05-26 18:55:19,769] - INFO: Eval PSNR (max): 38.246 (2865) SSIM (max): 0.9618 (2860) +[2024-05-26 18:55:19,769] - INFO: Eval PSNR (current): 38.230 (2900) SSIM (current): 0.9617 (2900) +[2024-05-26 18:55:19,769] - INFO: Evaluation over. +[2024-05-26 18:55:26,629] - INFO: Epoch 2901/9999, Iter 290000: Loss = 0.010433168150484562, lr = [1.25e-05] +[2024-05-26 18:55:53,942] - INFO: Epoch 2901/9999, Iter 290040: Loss = 0.018448054790496826, lr = [1.25e-05] +[2024-05-26 18:56:21,125] - INFO: Epoch 2901/9999, Iter 290080: Loss = 0.015282759442925453, lr = [1.25e-05] +[2024-05-26 18:56:49,742] - INFO: Epoch 2902/9999, Iter 290120: Loss = 0.012511182576417923, lr = [1.25e-05] +[2024-05-26 18:57:16,912] - INFO: Epoch 2902/9999, Iter 290160: Loss = 0.011930136941373348, lr = [1.25e-05] +[2024-05-26 18:57:45,640] - INFO: Epoch 2903/9999, Iter 290200: Loss = 0.013145290315151215, lr = [1.25e-05] +[2024-05-26 18:58:12,891] - INFO: Epoch 2903/9999, Iter 290240: Loss = 0.011040860787034035, lr = [1.25e-05] +[2024-05-26 18:58:40,078] - INFO: Epoch 2903/9999, Iter 290280: Loss = 0.010689967311918736, lr = [1.25e-05] +[2024-05-26 18:59:08,875] - INFO: Epoch 2904/9999, Iter 290320: Loss = 0.012523551471531391, lr = [1.25e-05] +[2024-05-26 18:59:36,043] - INFO: Epoch 2904/9999, Iter 290360: Loss = 0.00757344625890255, lr = [1.25e-05] +[2024-05-26 19:00:04,664] - INFO: Epoch 2905/9999, Iter 290400: Loss = 0.008188501931726933, lr = [1.25e-05] +[2024-05-26 19:00:31,896] - INFO: Epoch 2905/9999, Iter 290440: Loss = 0.017406834289431572, lr = [1.25e-05] +[2024-05-26 19:00:59,084] - INFO: Epoch 2905/9999, Iter 290480: Loss = 0.012865640223026276, lr = [1.25e-05] +[2024-05-26 19:01:12,355] - INFO: Evaluate at epoch 2905! +[2024-05-26 19:01:17,145] - INFO: Eval PSNR (max): 38.246 (2865) SSIM (max): 0.9618 (2860) +[2024-05-26 19:01:17,145] - INFO: Eval PSNR (current): 38.239 (2905) SSIM (current): 0.9617 (2905) +[2024-05-26 19:01:17,145] - INFO: Evaluation over. +[2024-05-26 19:01:37,540] - INFO: Epoch 2906/9999, Iter 290520: Loss = 0.018796183168888092, lr = [1.25e-05] +[2024-05-26 19:02:04,735] - INFO: Epoch 2906/9999, Iter 290560: Loss = 0.012215894646942616, lr = [1.25e-05] +[2024-05-26 19:02:33,369] - INFO: Epoch 2907/9999, Iter 290600: Loss = 0.010137297213077545, lr = [1.25e-05] +[2024-05-26 19:03:00,631] - INFO: Epoch 2907/9999, Iter 290640: Loss = 0.01901494897902012, lr = [1.25e-05] +[2024-05-26 19:03:27,819] - INFO: Epoch 2907/9999, Iter 290680: Loss = 0.025128301233053207, lr = [1.25e-05] +[2024-05-26 19:03:56,558] - INFO: Epoch 2908/9999, Iter 290720: Loss = 0.007288778200745583, lr = [1.25e-05] +[2024-05-26 19:04:23,794] - INFO: Epoch 2908/9999, Iter 290760: Loss = 0.008702822029590607, lr = [1.25e-05] +[2024-05-26 19:04:52,112] - INFO: Epoch 2909/9999, Iter 290800: Loss = 0.015099392272531986, lr = [1.25e-05] +[2024-05-26 19:05:19,417] - INFO: Epoch 2909/9999, Iter 290840: Loss = 0.013227878138422966, lr = [1.25e-05] +[2024-05-26 19:05:46,611] - INFO: Epoch 2909/9999, Iter 290880: Loss = 0.006993192248046398, lr = [1.25e-05] +[2024-05-26 19:06:15,354] - INFO: Epoch 2910/9999, Iter 290920: Loss = 0.006976490840315819, lr = [1.25e-05] +[2024-05-26 19:06:42,532] - INFO: Epoch 2910/9999, Iter 290960: Loss = 0.009211871773004532, lr = [1.25e-05] +[2024-05-26 19:07:09,389] - INFO: Evaluate at epoch 2910! +[2024-05-26 19:07:13,981] - INFO: Eval PSNR (max): 38.246 (2865) SSIM (max): 0.9618 (2860) +[2024-05-26 19:07:13,981] - INFO: Eval PSNR (current): 38.228 (2910) SSIM (current): 0.9617 (2910) +[2024-05-26 19:07:13,981] - INFO: Evaluation over. +[2024-05-26 19:07:20,832] - INFO: Epoch 2911/9999, Iter 291000: Loss = 0.017501825466752052, lr = [1.25e-05] +[2024-05-26 19:07:48,207] - INFO: Epoch 2911/9999, Iter 291040: Loss = 0.020022915676236153, lr = [1.25e-05] +[2024-05-26 19:08:15,362] - INFO: Epoch 2911/9999, Iter 291080: Loss = 0.015076648443937302, lr = [1.25e-05] +[2024-05-26 19:08:44,314] - INFO: Epoch 2912/9999, Iter 291120: Loss = 0.011528443545103073, lr = [1.25e-05] +[2024-05-26 19:09:11,490] - INFO: Epoch 2912/9999, Iter 291160: Loss = 0.011473615653812885, lr = [1.25e-05] +[2024-05-26 19:09:40,061] - INFO: Epoch 2913/9999, Iter 291200: Loss = 0.016112180426716805, lr = [1.25e-05] +[2024-05-26 19:10:07,309] - INFO: Epoch 2913/9999, Iter 291240: Loss = 0.011662306264042854, lr = [1.25e-05] +[2024-05-26 19:10:34,535] - INFO: Epoch 2913/9999, Iter 291280: Loss = 0.011016457341611385, lr = [1.25e-05] +[2024-05-26 19:11:03,510] - INFO: Epoch 2914/9999, Iter 291320: Loss = 0.007521691266447306, lr = [1.25e-05] +[2024-05-26 19:11:30,654] - INFO: Epoch 2914/9999, Iter 291360: Loss = 0.018473541364073753, lr = [1.25e-05] +[2024-05-26 19:11:59,144] - INFO: Epoch 2915/9999, Iter 291400: Loss = 0.0139118367806077, lr = [1.25e-05] +[2024-05-26 19:12:26,412] - INFO: Epoch 2915/9999, Iter 291440: Loss = 0.008172799833118916, lr = [1.25e-05] +[2024-05-26 19:12:53,650] - INFO: Epoch 2915/9999, Iter 291480: Loss = 0.017914770171046257, lr = [1.25e-05] +[2024-05-26 19:13:06,989] - INFO: Evaluate at epoch 2915! +[2024-05-26 19:13:11,755] - INFO: Eval PSNR (max): 38.246 (2865) SSIM (max): 0.9618 (2860) +[2024-05-26 19:13:11,755] - INFO: Eval PSNR (current): 38.235 (2915) SSIM (current): 0.9617 (2915) +[2024-05-26 19:13:11,755] - INFO: Evaluation over. +[2024-05-26 19:13:32,121] - INFO: Epoch 2916/9999, Iter 291520: Loss = 0.010886934585869312, lr = [1.25e-05] +[2024-05-26 19:13:59,378] - INFO: Epoch 2916/9999, Iter 291560: Loss = 0.00671061547473073, lr = [1.25e-05] +[2024-05-26 19:14:27,880] - INFO: Epoch 2917/9999, Iter 291600: Loss = 0.011095547117292881, lr = [1.25e-05] +[2024-05-26 19:14:55,140] - INFO: Epoch 2917/9999, Iter 291640: Loss = 0.0133396340534091, lr = [1.25e-05] +[2024-05-26 19:15:22,337] - INFO: Epoch 2917/9999, Iter 291680: Loss = 0.013306625187397003, lr = [1.25e-05] +[2024-05-26 19:15:50,967] - INFO: Epoch 2918/9999, Iter 291720: Loss = 0.010824190452694893, lr = [1.25e-05] +[2024-05-26 19:16:18,166] - INFO: Epoch 2918/9999, Iter 291760: Loss = 0.017404260113835335, lr = [1.25e-05] +[2024-05-26 19:16:46,677] - INFO: Epoch 2919/9999, Iter 291800: Loss = 0.010432646609842777, lr = [1.25e-05] +[2024-05-26 19:17:13,971] - INFO: Epoch 2919/9999, Iter 291840: Loss = 0.0070063150487840176, lr = [1.25e-05] +[2024-05-26 19:17:41,194] - INFO: Epoch 2919/9999, Iter 291880: Loss = 0.013390282168984413, lr = [1.25e-05] +[2024-05-26 19:18:09,874] - INFO: Epoch 2920/9999, Iter 291920: Loss = 0.009822361171245575, lr = [1.25e-05] +[2024-05-26 19:18:36,994] - INFO: Epoch 2920/9999, Iter 291960: Loss = 0.013556597754359245, lr = [1.25e-05] +[2024-05-26 19:19:03,820] - INFO: Evaluate at epoch 2920! +[2024-05-26 19:19:13,854] - INFO: Eval PSNR (max): 38.248 (2920) SSIM (max): 0.9618 (2860) +[2024-05-26 19:19:13,855] - INFO: Eval PSNR (current): 38.248 (2920) SSIM (current): 0.9617 (2920) +[2024-05-26 19:19:13,855] - INFO: Evaluation over. +[2024-05-26 19:19:20,552] - INFO: Epoch 2921/9999, Iter 292000: Loss = 0.007337838411331177, lr = [1.25e-05] +[2024-05-26 19:19:47,831] - INFO: Epoch 2921/9999, Iter 292040: Loss = 0.01573537290096283, lr = [1.25e-05] +[2024-05-26 19:20:14,967] - INFO: Epoch 2921/9999, Iter 292080: Loss = 0.013218715786933899, lr = [1.25e-05] +[2024-05-26 19:20:43,612] - INFO: Epoch 2922/9999, Iter 292120: Loss = 0.011880711652338505, lr = [1.25e-05] +[2024-05-26 19:21:10,814] - INFO: Epoch 2922/9999, Iter 292160: Loss = 0.010288655757904053, lr = [1.25e-05] +[2024-05-26 19:21:39,395] - INFO: Epoch 2923/9999, Iter 292200: Loss = 0.012045381590723991, lr = [1.25e-05] +[2024-05-26 19:22:06,689] - INFO: Epoch 2923/9999, Iter 292240: Loss = 0.012213868089020252, lr = [1.25e-05] +[2024-05-26 19:22:33,884] - INFO: Epoch 2923/9999, Iter 292280: Loss = 0.007945249788463116, lr = [1.25e-05] +[2024-05-26 19:23:02,512] - INFO: Epoch 2924/9999, Iter 292320: Loss = 0.008160371333360672, lr = [1.25e-05] +[2024-05-26 19:23:29,731] - INFO: Epoch 2924/9999, Iter 292360: Loss = 0.011703765019774437, lr = [1.25e-05] +[2024-05-26 19:23:58,242] - INFO: Epoch 2925/9999, Iter 292400: Loss = 0.016728868708014488, lr = [1.25e-05] +[2024-05-26 19:24:25,473] - INFO: Epoch 2925/9999, Iter 292440: Loss = 0.008634345605969429, lr = [1.25e-05] +[2024-05-26 19:24:52,691] - INFO: Epoch 2925/9999, Iter 292480: Loss = 0.014003328047692776, lr = [1.25e-05] +[2024-05-26 19:25:05,974] - INFO: Evaluate at epoch 2925! +[2024-05-26 19:25:10,806] - INFO: Eval PSNR (max): 38.248 (2920) SSIM (max): 0.9618 (2860) +[2024-05-26 19:25:10,806] - INFO: Eval PSNR (current): 38.242 (2925) SSIM (current): 0.9617 (2925) +[2024-05-26 19:25:10,806] - INFO: Evaluation over. +[2024-05-26 19:25:31,213] - INFO: Epoch 2926/9999, Iter 292520: Loss = 0.00943615473806858, lr = [1.25e-05] +[2024-05-26 19:25:58,443] - INFO: Epoch 2926/9999, Iter 292560: Loss = 0.009455950930714607, lr = [1.25e-05] +[2024-05-26 19:26:27,155] - INFO: Epoch 2927/9999, Iter 292600: Loss = 0.0077550676651299, lr = [1.25e-05] +[2024-05-26 19:26:54,486] - INFO: Epoch 2927/9999, Iter 292640: Loss = 0.008487178012728691, lr = [1.25e-05] +[2024-05-26 19:27:21,722] - INFO: Epoch 2927/9999, Iter 292680: Loss = 0.009995710104703903, lr = [1.25e-05] +[2024-05-26 19:27:50,479] - INFO: Epoch 2928/9999, Iter 292720: Loss = 0.010907484218478203, lr = [1.25e-05] +[2024-05-26 19:28:17,654] - INFO: Epoch 2928/9999, Iter 292760: Loss = 0.006221192888915539, lr = [1.25e-05] +[2024-05-26 19:28:46,284] - INFO: Epoch 2929/9999, Iter 292800: Loss = 0.008250687271356583, lr = [1.25e-05] +[2024-05-26 19:29:13,635] - INFO: Epoch 2929/9999, Iter 292840: Loss = 0.011553852818906307, lr = [1.25e-05] +[2024-05-26 19:29:40,874] - INFO: Epoch 2929/9999, Iter 292880: Loss = 0.013673430308699608, lr = [1.25e-05] +[2024-05-26 19:30:09,510] - INFO: Epoch 2930/9999, Iter 292920: Loss = 0.01752476394176483, lr = [1.25e-05] +[2024-05-26 19:30:36,690] - INFO: Epoch 2930/9999, Iter 292960: Loss = 0.012632129713892937, lr = [1.25e-05] +[2024-05-26 19:31:03,574] - INFO: Evaluate at epoch 2930! +[2024-05-26 19:31:08,337] - INFO: Eval PSNR (max): 38.248 (2920) SSIM (max): 0.9618 (2860) +[2024-05-26 19:31:08,337] - INFO: Eval PSNR (current): 38.241 (2930) SSIM (current): 0.9617 (2930) +[2024-05-26 19:31:08,337] - INFO: Evaluation over. +[2024-05-26 19:31:15,264] - INFO: Epoch 2931/9999, Iter 293000: Loss = 0.00909375585615635, lr = [1.25e-05] +[2024-05-26 19:31:42,574] - INFO: Epoch 2931/9999, Iter 293040: Loss = 0.0210842564702034, lr = [1.25e-05] +[2024-05-26 19:32:09,842] - INFO: Epoch 2931/9999, Iter 293080: Loss = 0.008321796543896198, lr = [1.25e-05] +[2024-05-26 19:32:38,528] - INFO: Epoch 2932/9999, Iter 293120: Loss = 0.011997532099485397, lr = [1.25e-05] +[2024-05-26 19:33:05,815] - INFO: Epoch 2932/9999, Iter 293160: Loss = 0.014368793927133083, lr = [1.25e-05] +[2024-05-26 19:33:34,313] - INFO: Epoch 2933/9999, Iter 293200: Loss = 0.013221151195466518, lr = [1.25e-05] +[2024-05-26 19:34:01,542] - INFO: Epoch 2933/9999, Iter 293240: Loss = 0.01053565088659525, lr = [1.25e-05] +[2024-05-26 19:34:28,722] - INFO: Epoch 2933/9999, Iter 293280: Loss = 0.007441479247063398, lr = [1.25e-05] +[2024-05-26 19:34:57,609] - INFO: Epoch 2934/9999, Iter 293320: Loss = 0.009885364212095737, lr = [1.25e-05] +[2024-05-26 19:35:24,834] - INFO: Epoch 2934/9999, Iter 293360: Loss = 0.010954152792692184, lr = [1.25e-05] +[2024-05-26 19:35:53,244] - INFO: Epoch 2935/9999, Iter 293400: Loss = 0.012605673633515835, lr = [1.25e-05] +[2024-05-26 19:36:20,502] - INFO: Epoch 2935/9999, Iter 293440: Loss = 0.016381336376070976, lr = [1.25e-05] +[2024-05-26 19:36:48,650] - INFO: Epoch 2935/9999, Iter 293480: Loss = 0.009208614006638527, lr = [1.25e-05] +[2024-05-26 19:37:05,942] - INFO: Evaluate at epoch 2935! +[2024-05-26 19:37:13,166] - INFO: Eval PSNR (max): 38.248 (2920) SSIM (max): 0.9618 (2860) +[2024-05-26 19:37:13,166] - INFO: Eval PSNR (current): 38.233 (2935) SSIM (current): 0.9617 (2935) +[2024-05-26 19:37:13,166] - INFO: Evaluation over. +[2024-05-26 19:37:40,163] - INFO: Epoch 2936/9999, Iter 293520: Loss = 0.011261822655797005, lr = [1.25e-05] +[2024-05-26 19:38:09,794] - INFO: Epoch 2936/9999, Iter 293560: Loss = 0.006602045614272356, lr = [1.25e-05] +[2024-05-26 19:38:40,420] - INFO: Epoch 2937/9999, Iter 293600: Loss = 0.014069421216845512, lr = [1.25e-05] +[2024-05-26 19:39:07,916] - INFO: Epoch 2937/9999, Iter 293640: Loss = 0.015001912601292133, lr = [1.25e-05] +[2024-05-26 19:39:35,461] - INFO: Epoch 2937/9999, Iter 293680: Loss = 0.014996162615716457, lr = [1.25e-05] +[2024-05-26 19:40:05,346] - INFO: Epoch 2938/9999, Iter 293720: Loss = 0.020248187705874443, lr = [1.25e-05] +[2024-05-26 19:40:33,201] - INFO: Epoch 2938/9999, Iter 293760: Loss = 0.01228583324700594, lr = [1.25e-05] +[2024-05-26 19:41:02,056] - INFO: Epoch 2939/9999, Iter 293800: Loss = 0.009322356432676315, lr = [1.25e-05] +[2024-05-26 19:41:29,472] - INFO: Epoch 2939/9999, Iter 293840: Loss = 0.010809271596372128, lr = [1.25e-05] +[2024-05-26 19:41:56,971] - INFO: Epoch 2939/9999, Iter 293880: Loss = 0.011218934319913387, lr = [1.25e-05] +[2024-05-26 19:42:27,868] - INFO: Epoch 2940/9999, Iter 293920: Loss = 0.006249516736716032, lr = [1.25e-05] +[2024-05-26 19:42:55,191] - INFO: Epoch 2940/9999, Iter 293960: Loss = 0.0112281683832407, lr = [1.25e-05] +[2024-05-26 19:43:23,351] - INFO: Evaluate at epoch 2940! +[2024-05-26 19:43:33,481] - INFO: Eval PSNR (max): 38.248 (2940) SSIM (max): 0.9618 (2860) +[2024-05-26 19:43:33,482] - INFO: Eval PSNR (current): 38.248 (2940) SSIM (current): 0.9617 (2940) +[2024-05-26 19:43:33,482] - INFO: Evaluation over. +[2024-05-26 19:43:40,193] - INFO: Epoch 2941/9999, Iter 294000: Loss = 0.01533733494579792, lr = [1.25e-05] +[2024-05-26 19:44:07,988] - INFO: Epoch 2941/9999, Iter 294040: Loss = 0.01249043270945549, lr = [1.25e-05] +[2024-05-26 19:44:35,326] - INFO: Epoch 2941/9999, Iter 294080: Loss = 0.012718381360173225, lr = [1.25e-05] +[2024-05-26 19:45:07,580] - INFO: Epoch 2942/9999, Iter 294120: Loss = 0.013965207152068615, lr = [1.25e-05] +[2024-05-26 19:45:34,777] - INFO: Epoch 2942/9999, Iter 294160: Loss = 0.01685473695397377, lr = [1.25e-05] +[2024-05-26 19:46:03,308] - INFO: Epoch 2943/9999, Iter 294200: Loss = 0.01307707279920578, lr = [1.25e-05] +[2024-05-26 19:46:30,558] - INFO: Epoch 2943/9999, Iter 294240: Loss = 0.012938689440488815, lr = [1.25e-05] +[2024-05-26 19:46:57,786] - INFO: Epoch 2943/9999, Iter 294280: Loss = 0.00924474373459816, lr = [1.25e-05] +[2024-05-26 19:47:26,539] - INFO: Epoch 2944/9999, Iter 294320: Loss = 0.012487572617828846, lr = [1.25e-05] +[2024-05-26 19:47:53,711] - INFO: Epoch 2944/9999, Iter 294360: Loss = 0.011577974073588848, lr = [1.25e-05] +[2024-05-26 19:48:22,302] - INFO: Epoch 2945/9999, Iter 294400: Loss = 0.009801268577575684, lr = [1.25e-05] +[2024-05-26 19:48:49,594] - INFO: Epoch 2945/9999, Iter 294440: Loss = 0.013627145439386368, lr = [1.25e-05] +[2024-05-26 19:49:16,802] - INFO: Epoch 2945/9999, Iter 294480: Loss = 0.015060054138302803, lr = [1.25e-05] +[2024-05-26 19:49:30,087] - INFO: Evaluate at epoch 2945! +[2024-05-26 19:49:34,669] - INFO: Eval PSNR (max): 38.248 (2940) SSIM (max): 0.9618 (2860) +[2024-05-26 19:49:34,669] - INFO: Eval PSNR (current): 38.239 (2945) SSIM (current): 0.9617 (2945) +[2024-05-26 19:49:34,669] - INFO: Evaluation over. +[2024-05-26 19:49:55,420] - INFO: Epoch 2946/9999, Iter 294520: Loss = 0.010703257285058498, lr = [1.25e-05] +[2024-05-26 19:50:22,642] - INFO: Epoch 2946/9999, Iter 294560: Loss = 0.017133628949522972, lr = [1.25e-05] +[2024-05-26 19:50:51,280] - INFO: Epoch 2947/9999, Iter 294600: Loss = 0.013296786695718765, lr = [1.25e-05] +[2024-05-26 19:51:18,622] - INFO: Epoch 2947/9999, Iter 294640: Loss = 0.026483239606022835, lr = [1.25e-05] +[2024-05-26 19:51:45,791] - INFO: Epoch 2947/9999, Iter 294680: Loss = 0.010961157269775867, lr = [1.25e-05] +[2024-05-26 19:52:14,578] - INFO: Epoch 2948/9999, Iter 294720: Loss = 0.019979283213615417, lr = [1.25e-05] +[2024-05-26 19:52:41,816] - INFO: Epoch 2948/9999, Iter 294760: Loss = 0.021962877362966537, lr = [1.25e-05] +[2024-05-26 19:53:10,297] - INFO: Epoch 2949/9999, Iter 294800: Loss = 0.006787786725908518, lr = [1.25e-05] +[2024-05-26 19:53:37,601] - INFO: Epoch 2949/9999, Iter 294840: Loss = 0.016198858618736267, lr = [1.25e-05] +[2024-05-26 19:54:04,818] - INFO: Epoch 2949/9999, Iter 294880: Loss = 0.006699242163449526, lr = [1.25e-05] +[2024-05-26 19:54:33,455] - INFO: Epoch 2950/9999, Iter 294920: Loss = 0.014105836860835552, lr = [1.25e-05] +[2024-05-26 19:55:00,678] - INFO: Epoch 2950/9999, Iter 294960: Loss = 0.007490333169698715, lr = [1.25e-05] +[2024-05-26 19:55:27,648] - INFO: Evaluate at epoch 2950! +[2024-05-26 19:55:32,196] - INFO: Eval PSNR (max): 38.248 (2940) SSIM (max): 0.9618 (2860) +[2024-05-26 19:55:32,197] - INFO: Eval PSNR (current): 38.225 (2950) SSIM (current): 0.9616 (2950) +[2024-05-26 19:55:32,197] - INFO: Evaluation over. +[2024-05-26 19:55:38,920] - INFO: Epoch 2951/9999, Iter 295000: Loss = 0.004743875004351139, lr = [1.25e-05] +[2024-05-26 19:56:06,227] - INFO: Epoch 2951/9999, Iter 295040: Loss = 0.012741906568408012, lr = [1.25e-05] +[2024-05-26 19:56:33,466] - INFO: Epoch 2951/9999, Iter 295080: Loss = 0.00460819061845541, lr = [1.25e-05] +[2024-05-26 19:57:02,188] - INFO: Epoch 2952/9999, Iter 295120: Loss = 0.012014859355986118, lr = [1.25e-05] +[2024-05-26 19:57:29,411] - INFO: Epoch 2952/9999, Iter 295160: Loss = 0.009261475875973701, lr = [1.25e-05] +[2024-05-26 19:57:58,128] - INFO: Epoch 2953/9999, Iter 295200: Loss = 0.009793168865144253, lr = [1.25e-05] +[2024-05-26 19:58:25,465] - INFO: Epoch 2953/9999, Iter 295240: Loss = 0.017402024939656258, lr = [1.25e-05] +[2024-05-26 19:58:52,658] - INFO: Epoch 2953/9999, Iter 295280: Loss = 0.014185910113155842, lr = [1.25e-05] +[2024-05-26 19:59:21,302] - INFO: Epoch 2954/9999, Iter 295320: Loss = 0.0071174888871610165, lr = [1.25e-05] +[2024-05-26 19:59:48,506] - INFO: Epoch 2954/9999, Iter 295360: Loss = 0.014356723986566067, lr = [1.25e-05] +[2024-05-26 20:00:17,280] - INFO: Epoch 2955/9999, Iter 295400: Loss = 0.009954280219972134, lr = [1.25e-05] +[2024-05-26 20:00:44,605] - INFO: Epoch 2955/9999, Iter 295440: Loss = 0.014149203896522522, lr = [1.25e-05] +[2024-05-26 20:01:11,769] - INFO: Epoch 2955/9999, Iter 295480: Loss = 0.01349351555109024, lr = [1.25e-05] +[2024-05-26 20:01:25,074] - INFO: Evaluate at epoch 2955! +[2024-05-26 20:01:29,621] - INFO: Eval PSNR (max): 38.248 (2940) SSIM (max): 0.9618 (2860) +[2024-05-26 20:01:29,621] - INFO: Eval PSNR (current): 38.222 (2955) SSIM (current): 0.9617 (2955) +[2024-05-26 20:01:29,621] - INFO: Evaluation over. +[2024-05-26 20:01:50,054] - INFO: Epoch 2956/9999, Iter 295520: Loss = 0.016315104439854622, lr = [1.25e-05] +[2024-05-26 20:02:17,258] - INFO: Epoch 2956/9999, Iter 295560: Loss = 0.01449089776724577, lr = [1.25e-05] +[2024-05-26 20:02:45,902] - INFO: Epoch 2957/9999, Iter 295600: Loss = 0.017481351271271706, lr = [1.25e-05] +[2024-05-26 20:03:13,199] - INFO: Epoch 2957/9999, Iter 295640: Loss = 0.008628754876554012, lr = [1.25e-05] +[2024-05-26 20:03:40,376] - INFO: Epoch 2957/9999, Iter 295680: Loss = 0.007643546909093857, lr = [1.25e-05] +[2024-05-26 20:04:08,940] - INFO: Epoch 2958/9999, Iter 295720: Loss = 0.016099724918603897, lr = [1.25e-05] +[2024-05-26 20:04:36,114] - INFO: Epoch 2958/9999, Iter 295760: Loss = 0.022540926933288574, lr = [1.25e-05] +[2024-05-26 20:05:04,765] - INFO: Epoch 2959/9999, Iter 295800: Loss = 0.007903001271188259, lr = [1.25e-05] +[2024-05-26 20:05:32,092] - INFO: Epoch 2959/9999, Iter 295840: Loss = 0.008991220965981483, lr = [1.25e-05] +[2024-05-26 20:05:59,276] - INFO: Epoch 2959/9999, Iter 295880: Loss = 0.017231183126568794, lr = [1.25e-05] +[2024-05-26 20:06:28,179] - INFO: Epoch 2960/9999, Iter 295920: Loss = 0.013666462153196335, lr = [1.25e-05] +[2024-05-26 20:06:55,386] - INFO: Epoch 2960/9999, Iter 295960: Loss = 0.012984711676836014, lr = [1.25e-05] +[2024-05-26 20:07:22,273] - INFO: Evaluate at epoch 2960! +[2024-05-26 20:07:26,962] - INFO: Eval PSNR (max): 38.248 (2940) SSIM (max): 0.9618 (2860) +[2024-05-26 20:07:26,962] - INFO: Eval PSNR (current): 38.214 (2960) SSIM (current): 0.9616 (2960) +[2024-05-26 20:07:26,962] - INFO: Evaluation over. +[2024-05-26 20:07:33,756] - INFO: Epoch 2961/9999, Iter 296000: Loss = 0.01210852898657322, lr = [1.25e-05] +[2024-05-26 20:08:01,066] - INFO: Epoch 2961/9999, Iter 296040: Loss = 0.007456599734723568, lr = [1.25e-05] +[2024-05-26 20:08:28,254] - INFO: Epoch 2961/9999, Iter 296080: Loss = 0.01785214990377426, lr = [1.25e-05] +[2024-05-26 20:08:56,950] - INFO: Epoch 2962/9999, Iter 296120: Loss = 0.011568990536034107, lr = [1.25e-05] +[2024-05-26 20:09:24,152] - INFO: Epoch 2962/9999, Iter 296160: Loss = 0.012630818411707878, lr = [1.25e-05] +[2024-05-26 20:09:52,669] - INFO: Epoch 2963/9999, Iter 296200: Loss = 0.009125390090048313, lr = [1.25e-05] +[2024-05-26 20:10:19,919] - INFO: Epoch 2963/9999, Iter 296240: Loss = 0.009482252411544323, lr = [1.25e-05] +[2024-05-26 20:10:47,169] - INFO: Epoch 2963/9999, Iter 296280: Loss = 0.009364793077111244, lr = [1.25e-05] +[2024-05-26 20:11:15,738] - INFO: Epoch 2964/9999, Iter 296320: Loss = 0.015501182526350021, lr = [1.25e-05] +[2024-05-26 20:11:42,946] - INFO: Epoch 2964/9999, Iter 296360: Loss = 0.006391056813299656, lr = [1.25e-05] +[2024-05-26 20:12:11,361] - INFO: Epoch 2965/9999, Iter 296400: Loss = 0.007700874004513025, lr = [1.25e-05] +[2024-05-26 20:12:38,633] - INFO: Epoch 2965/9999, Iter 296440: Loss = 0.011816791258752346, lr = [1.25e-05] +[2024-05-26 20:13:05,836] - INFO: Epoch 2965/9999, Iter 296480: Loss = 0.01007639616727829, lr = [1.25e-05] +[2024-05-26 20:13:19,131] - INFO: Evaluate at epoch 2965! +[2024-05-26 20:13:23,766] - INFO: Eval PSNR (max): 38.248 (2940) SSIM (max): 0.9618 (2860) +[2024-05-26 20:13:23,766] - INFO: Eval PSNR (current): 38.217 (2965) SSIM (current): 0.9617 (2965) +[2024-05-26 20:13:23,766] - INFO: Evaluation over. +[2024-05-26 20:13:44,200] - INFO: Epoch 2966/9999, Iter 296520: Loss = 0.014297939836978912, lr = [1.25e-05] +[2024-05-26 20:14:11,361] - INFO: Epoch 2966/9999, Iter 296560: Loss = 0.018592463806271553, lr = [1.25e-05] +[2024-05-26 20:14:39,956] - INFO: Epoch 2967/9999, Iter 296600: Loss = 0.017907217144966125, lr = [1.25e-05] +[2024-05-26 20:15:07,335] - INFO: Epoch 2967/9999, Iter 296640: Loss = 0.017040135338902473, lr = [1.25e-05] +[2024-05-26 20:15:34,553] - INFO: Epoch 2967/9999, Iter 296680: Loss = 0.007232340518385172, lr = [1.25e-05] +[2024-05-26 20:16:03,115] - INFO: Epoch 2968/9999, Iter 296720: Loss = 0.01726726070046425, lr = [1.25e-05] +[2024-05-26 20:16:30,299] - INFO: Epoch 2968/9999, Iter 296760: Loss = 0.011820113286376, lr = [1.25e-05] +[2024-05-26 20:16:58,937] - INFO: Epoch 2969/9999, Iter 296800: Loss = 0.009500815533101559, lr = [1.25e-05] +[2024-05-26 20:17:26,163] - INFO: Epoch 2969/9999, Iter 296840: Loss = 0.015281562693417072, lr = [1.25e-05] +[2024-05-26 20:17:53,332] - INFO: Epoch 2969/9999, Iter 296880: Loss = 0.0136159872636199, lr = [1.25e-05] +[2024-05-26 20:18:22,115] - INFO: Epoch 2970/9999, Iter 296920: Loss = 0.009183301590383053, lr = [1.25e-05] +[2024-05-26 20:18:49,329] - INFO: Epoch 2970/9999, Iter 296960: Loss = 0.014806951396167278, lr = [1.25e-05] +[2024-05-26 20:19:16,209] - INFO: Evaluate at epoch 2970! +[2024-05-26 20:19:20,709] - INFO: Eval PSNR (max): 38.248 (2940) SSIM (max): 0.9618 (2860) +[2024-05-26 20:19:20,709] - INFO: Eval PSNR (current): 38.230 (2970) SSIM (current): 0.9617 (2970) +[2024-05-26 20:19:20,709] - INFO: Evaluation over. +[2024-05-26 20:19:27,717] - INFO: Epoch 2971/9999, Iter 297000: Loss = 0.009076838381588459, lr = [1.25e-05] +[2024-05-26 20:19:55,047] - INFO: Epoch 2971/9999, Iter 297040: Loss = 0.012917031534016132, lr = [1.25e-05] +[2024-05-26 20:20:22,299] - INFO: Epoch 2971/9999, Iter 297080: Loss = 0.011125755496323109, lr = [1.25e-05] +[2024-05-26 20:20:50,833] - INFO: Epoch 2972/9999, Iter 297120: Loss = 0.01658381149172783, lr = [1.25e-05] +[2024-05-26 20:21:18,091] - INFO: Epoch 2972/9999, Iter 297160: Loss = 0.014242028817534447, lr = [1.25e-05] +[2024-05-26 20:21:46,605] - INFO: Epoch 2973/9999, Iter 297200: Loss = 0.013623608276247978, lr = [1.25e-05] +[2024-05-26 20:22:13,869] - INFO: Epoch 2973/9999, Iter 297240: Loss = 0.008998014032840729, lr = [1.25e-05] +[2024-05-26 20:22:41,089] - INFO: Epoch 2973/9999, Iter 297280: Loss = 0.010411446914076805, lr = [1.25e-05] +[2024-05-26 20:23:09,887] - INFO: Epoch 2974/9999, Iter 297320: Loss = 0.014812790788710117, lr = [1.25e-05] +[2024-05-26 20:23:37,058] - INFO: Epoch 2974/9999, Iter 297360: Loss = 0.006202745251357555, lr = [1.25e-05] +[2024-05-26 20:24:05,709] - INFO: Epoch 2975/9999, Iter 297400: Loss = 0.004834004212170839, lr = [1.25e-05] +[2024-05-26 20:24:32,933] - INFO: Epoch 2975/9999, Iter 297440: Loss = 0.013765211217105389, lr = [1.25e-05] +[2024-05-26 20:25:00,140] - INFO: Epoch 2975/9999, Iter 297480: Loss = 0.008113552816212177, lr = [1.25e-05] +[2024-05-26 20:25:13,471] - INFO: Evaluate at epoch 2975! +[2024-05-26 20:25:18,196] - INFO: Eval PSNR (max): 38.248 (2940) SSIM (max): 0.9618 (2860) +[2024-05-26 20:25:18,196] - INFO: Eval PSNR (current): 38.230 (2975) SSIM (current): 0.9617 (2975) +[2024-05-26 20:25:18,196] - INFO: Evaluation over. +[2024-05-26 20:25:38,766] - INFO: Epoch 2976/9999, Iter 297520: Loss = 0.009104562923312187, lr = [1.25e-05] +[2024-05-26 20:26:05,894] - INFO: Epoch 2976/9999, Iter 297560: Loss = 0.011824451386928558, lr = [1.25e-05] +[2024-05-26 20:26:34,501] - INFO: Epoch 2977/9999, Iter 297600: Loss = 0.010758733376860619, lr = [1.25e-05] +[2024-05-26 20:27:01,818] - INFO: Epoch 2977/9999, Iter 297640: Loss = 0.01348334550857544, lr = [1.25e-05] +[2024-05-26 20:27:29,058] - INFO: Epoch 2977/9999, Iter 297680: Loss = 0.01024808268994093, lr = [1.25e-05] +[2024-05-26 20:27:57,508] - INFO: Epoch 2978/9999, Iter 297720: Loss = 0.013069945387542248, lr = [1.25e-05] +[2024-05-26 20:28:24,703] - INFO: Epoch 2978/9999, Iter 297760: Loss = 0.01978759840130806, lr = [1.25e-05] +[2024-05-26 20:28:53,596] - INFO: Epoch 2979/9999, Iter 297800: Loss = 0.010978363454341888, lr = [1.25e-05] +[2024-05-26 20:29:20,907] - INFO: Epoch 2979/9999, Iter 297840: Loss = 0.012735222466289997, lr = [1.25e-05] +[2024-05-26 20:29:48,059] - INFO: Epoch 2979/9999, Iter 297880: Loss = 0.00963167566806078, lr = [1.25e-05] +[2024-05-26 20:30:16,597] - INFO: Epoch 2980/9999, Iter 297920: Loss = 0.012126600369811058, lr = [1.25e-05] +[2024-05-26 20:30:43,740] - INFO: Epoch 2980/9999, Iter 297960: Loss = 0.015211456455290318, lr = [1.25e-05] +[2024-05-26 20:31:10,626] - INFO: Evaluate at epoch 2980! +[2024-05-26 20:31:15,249] - INFO: Eval PSNR (max): 38.248 (2940) SSIM (max): 0.9618 (2860) +[2024-05-26 20:31:15,249] - INFO: Eval PSNR (current): 38.226 (2980) SSIM (current): 0.9617 (2980) +[2024-05-26 20:31:15,249] - INFO: Evaluation over. +[2024-05-26 20:31:22,072] - INFO: Epoch 2981/9999, Iter 298000: Loss = 0.007076045032590628, lr = [1.25e-05] +[2024-05-26 20:31:49,456] - INFO: Epoch 2981/9999, Iter 298040: Loss = 0.009858031757175922, lr = [1.25e-05] +[2024-05-26 20:32:16,634] - INFO: Epoch 2981/9999, Iter 298080: Loss = 0.021073566749691963, lr = [1.25e-05] +[2024-05-26 20:32:45,346] - INFO: Epoch 2982/9999, Iter 298120: Loss = 0.026530280709266663, lr = [1.25e-05] +[2024-05-26 20:33:12,511] - INFO: Epoch 2982/9999, Iter 298160: Loss = 0.008787854574620724, lr = [1.25e-05] +[2024-05-26 20:33:41,223] - INFO: Epoch 2983/9999, Iter 298200: Loss = 0.017579535022377968, lr = [1.25e-05] +[2024-05-26 20:34:08,450] - INFO: Epoch 2983/9999, Iter 298240: Loss = 0.009510193951427937, lr = [1.25e-05] +[2024-05-26 20:34:35,654] - INFO: Epoch 2983/9999, Iter 298280: Loss = 0.010513302870094776, lr = [1.25e-05] +[2024-05-26 20:35:04,480] - INFO: Epoch 2984/9999, Iter 298320: Loss = 0.013269426301121712, lr = [1.25e-05] +[2024-05-26 20:35:31,695] - INFO: Epoch 2984/9999, Iter 298360: Loss = 0.018939247354865074, lr = [1.25e-05] +[2024-05-26 20:36:00,325] - INFO: Epoch 2985/9999, Iter 298400: Loss = 0.011914679780602455, lr = [1.25e-05] +[2024-05-26 20:36:27,623] - INFO: Epoch 2985/9999, Iter 298440: Loss = 0.007695512846112251, lr = [1.25e-05] +[2024-05-26 20:36:54,776] - INFO: Epoch 2985/9999, Iter 298480: Loss = 0.013182089664041996, lr = [1.25e-05] +[2024-05-26 20:37:08,090] - INFO: Evaluate at epoch 2985! +[2024-05-26 20:37:12,685] - INFO: Eval PSNR (max): 38.248 (2940) SSIM (max): 0.9618 (2860) +[2024-05-26 20:37:12,685] - INFO: Eval PSNR (current): 38.227 (2985) SSIM (current): 0.9616 (2985) +[2024-05-26 20:37:12,685] - INFO: Evaluation over. +[2024-05-26 20:37:33,234] - INFO: Epoch 2986/9999, Iter 298520: Loss = 0.01181690115481615, lr = [1.25e-05] +[2024-05-26 20:38:00,502] - INFO: Epoch 2986/9999, Iter 298560: Loss = 0.00976678915321827, lr = [1.25e-05] +[2024-05-26 20:38:29,071] - INFO: Epoch 2987/9999, Iter 298600: Loss = 0.010531703941524029, lr = [1.25e-05] +[2024-05-26 20:38:56,383] - INFO: Epoch 2987/9999, Iter 298640: Loss = 0.013059914112091064, lr = [1.25e-05] +[2024-05-26 20:39:23,534] - INFO: Epoch 2987/9999, Iter 298680: Loss = 0.014412710443139076, lr = [1.25e-05] +[2024-05-26 20:39:52,260] - INFO: Epoch 2988/9999, Iter 298720: Loss = 0.012715017423033714, lr = [1.25e-05] +[2024-05-26 20:40:19,429] - INFO: Epoch 2988/9999, Iter 298760: Loss = 0.012550215236842632, lr = [1.25e-05] +[2024-05-26 20:40:47,792] - INFO: Epoch 2989/9999, Iter 298800: Loss = 0.014930294826626778, lr = [1.25e-05] +[2024-05-26 20:41:15,094] - INFO: Epoch 2989/9999, Iter 298840: Loss = 0.019833432510495186, lr = [1.25e-05] +[2024-05-26 20:41:42,334] - INFO: Epoch 2989/9999, Iter 298880: Loss = 0.012080793268978596, lr = [1.25e-05] +[2024-05-26 20:42:10,919] - INFO: Epoch 2990/9999, Iter 298920: Loss = 0.012845490127801895, lr = [1.25e-05] +[2024-05-26 20:42:38,090] - INFO: Epoch 2990/9999, Iter 298960: Loss = 0.01671118289232254, lr = [1.25e-05] +[2024-05-26 20:43:04,944] - INFO: Evaluate at epoch 2990! +[2024-05-26 20:43:09,641] - INFO: Eval PSNR (max): 38.248 (2940) SSIM (max): 0.9618 (2860) +[2024-05-26 20:43:09,641] - INFO: Eval PSNR (current): 38.219 (2990) SSIM (current): 0.9616 (2990) +[2024-05-26 20:43:09,641] - INFO: Evaluation over. +[2024-05-26 20:43:16,597] - INFO: Epoch 2991/9999, Iter 299000: Loss = 0.012537925504148006, lr = [1.25e-05] +[2024-05-26 20:43:43,804] - INFO: Epoch 2991/9999, Iter 299040: Loss = 0.014826434664428234, lr = [1.25e-05] +[2024-05-26 20:44:11,014] - INFO: Epoch 2991/9999, Iter 299080: Loss = 0.009486593306064606, lr = [1.25e-05] +[2024-05-26 20:44:39,555] - INFO: Epoch 2992/9999, Iter 299120: Loss = 0.019429344683885574, lr = [1.25e-05] +[2024-05-26 20:45:06,811] - INFO: Epoch 2992/9999, Iter 299160: Loss = 0.011317781172692776, lr = [1.25e-05] +[2024-05-26 20:45:35,536] - INFO: Epoch 2993/9999, Iter 299200: Loss = 0.007835406810045242, lr = [1.25e-05] +[2024-05-26 20:46:02,853] - INFO: Epoch 2993/9999, Iter 299240: Loss = 0.010157475247979164, lr = [1.25e-05] +[2024-05-26 20:46:30,002] - INFO: Epoch 2993/9999, Iter 299280: Loss = 0.017189575359225273, lr = [1.25e-05] +[2024-05-26 20:46:58,485] - INFO: Epoch 2994/9999, Iter 299320: Loss = 0.010009361431002617, lr = [1.25e-05] +[2024-05-26 20:47:25,753] - INFO: Epoch 2994/9999, Iter 299360: Loss = 0.004170422442257404, lr = [1.25e-05] +[2024-05-26 20:47:54,504] - INFO: Epoch 2995/9999, Iter 299400: Loss = 0.012502441182732582, lr = [1.25e-05] +[2024-05-26 20:48:21,804] - INFO: Epoch 2995/9999, Iter 299440: Loss = 0.010717147961258888, lr = [1.25e-05] +[2024-05-26 20:48:49,014] - INFO: Epoch 2995/9999, Iter 299480: Loss = 0.011721489951014519, lr = [1.25e-05] +[2024-05-26 20:49:02,294] - INFO: Evaluate at epoch 2995! +[2024-05-26 20:49:06,967] - INFO: Eval PSNR (max): 38.248 (2940) SSIM (max): 0.9618 (2860) +[2024-05-26 20:49:06,967] - INFO: Eval PSNR (current): 38.222 (2995) SSIM (current): 0.9617 (2995) +[2024-05-26 20:49:06,967] - INFO: Evaluation over. +[2024-05-26 20:49:27,505] - INFO: Epoch 2996/9999, Iter 299520: Loss = 0.012135143391788006, lr = [1.25e-05] +[2024-05-26 20:49:54,705] - INFO: Epoch 2996/9999, Iter 299560: Loss = 0.011304657906293869, lr = [1.25e-05] +[2024-05-26 20:50:23,403] - INFO: Epoch 2997/9999, Iter 299600: Loss = 0.01386177632957697, lr = [1.25e-05] +[2024-05-26 20:50:50,803] - INFO: Epoch 2997/9999, Iter 299640: Loss = 0.01797953061759472, lr = [1.25e-05] +[2024-05-26 20:51:18,047] - INFO: Epoch 2997/9999, Iter 299680: Loss = 0.011725847609341145, lr = [1.25e-05] +[2024-05-26 20:51:46,739] - INFO: Epoch 2998/9999, Iter 299720: Loss = 0.010805551894009113, lr = [1.25e-05] +[2024-05-26 20:52:13,982] - INFO: Epoch 2998/9999, Iter 299760: Loss = 0.011347801424562931, lr = [1.25e-05] +[2024-05-26 20:52:42,469] - INFO: Epoch 2999/9999, Iter 299800: Loss = 0.014270956628024578, lr = [1.25e-05] +[2024-05-26 20:53:09,762] - INFO: Epoch 2999/9999, Iter 299840: Loss = 0.020700599998235703, lr = [1.25e-05] +[2024-05-26 20:53:36,898] - INFO: Epoch 2999/9999, Iter 299880: Loss = 0.020785262808203697, lr = [1.25e-05] +[2024-05-26 20:54:05,400] - INFO: Epoch 3000/9999, Iter 299920: Loss = 0.008490951731801033, lr = [1.25e-05] +[2024-05-26 20:54:32,586] - INFO: Epoch 3000/9999, Iter 299960: Loss = 0.006546793971210718, lr = [1.25e-05] +[2024-05-26 20:54:59,429] - INFO: Evaluate at epoch 3000! +[2024-05-26 20:55:04,109] - INFO: Eval PSNR (max): 38.248 (2940) SSIM (max): 0.9618 (2860) +[2024-05-26 20:55:04,109] - INFO: Eval PSNR (current): 38.238 (3000) SSIM (current): 0.9617 (3000) +[2024-05-26 20:55:04,109] - INFO: Evaluation over. +[2024-05-26 20:55:10,863] - INFO: Epoch 3001/9999, Iter 300000: Loss = 0.012540369294583797, lr = [1.25e-05] +[2024-05-26 20:55:38,262] - INFO: Epoch 3001/9999, Iter 300040: Loss = 0.0208616703748703, lr = [1.25e-05] +[2024-05-26 20:56:05,410] - INFO: Epoch 3001/9999, Iter 300080: Loss = 0.009861759841442108, lr = [1.25e-05] +[2024-05-26 20:56:34,215] - INFO: Epoch 3002/9999, Iter 300120: Loss = 0.009552933275699615, lr = [1.25e-05] +[2024-05-26 20:57:01,487] - INFO: Epoch 3002/9999, Iter 300160: Loss = 0.009665369056165218, lr = [1.25e-05] +[2024-05-26 20:57:29,889] - INFO: Epoch 3003/9999, Iter 300200: Loss = 0.007187053095549345, lr = [1.25e-05] +[2024-05-26 20:57:57,171] - INFO: Epoch 3003/9999, Iter 300240: Loss = 0.00922771543264389, lr = [1.25e-05] +[2024-05-26 20:58:24,382] - INFO: Epoch 3003/9999, Iter 300280: Loss = 0.011723913252353668, lr = [1.25e-05] +[2024-05-26 20:58:53,158] - INFO: Epoch 3004/9999, Iter 300320: Loss = 0.008872631937265396, lr = [1.25e-05] +[2024-05-26 20:59:20,363] - INFO: Epoch 3004/9999, Iter 300360: Loss = 0.017662329599261284, lr = [1.25e-05] +[2024-05-26 20:59:48,895] - INFO: Epoch 3005/9999, Iter 300400: Loss = 0.017517805099487305, lr = [1.25e-05] +[2024-05-26 21:00:16,261] - INFO: Epoch 3005/9999, Iter 300440: Loss = 0.01780114322900772, lr = [1.25e-05] +[2024-05-26 21:00:43,511] - INFO: Epoch 3005/9999, Iter 300480: Loss = 0.024626214057207108, lr = [1.25e-05] +[2024-05-26 21:00:56,785] - INFO: Evaluate at epoch 3005! +[2024-05-26 21:01:01,350] - INFO: Eval PSNR (max): 38.248 (2940) SSIM (max): 0.9618 (2860) +[2024-05-26 21:01:01,350] - INFO: Eval PSNR (current): 38.238 (3005) SSIM (current): 0.9617 (3005) +[2024-05-26 21:01:01,350] - INFO: Evaluation over. +[2024-05-26 21:01:21,850] - INFO: Epoch 3006/9999, Iter 300520: Loss = 0.013617542572319508, lr = [1.25e-05] +[2024-05-26 21:01:49,097] - INFO: Epoch 3006/9999, Iter 300560: Loss = 0.010143207386136055, lr = [1.25e-05] +[2024-05-26 21:02:17,593] - INFO: Epoch 3007/9999, Iter 300600: Loss = 0.010323491878807545, lr = [1.25e-05] +[2024-05-26 21:02:44,899] - INFO: Epoch 3007/9999, Iter 300640: Loss = 0.015502765774726868, lr = [1.25e-05] +[2024-05-26 21:03:12,082] - INFO: Epoch 3007/9999, Iter 300680: Loss = 0.008167804218828678, lr = [1.25e-05] +[2024-05-26 21:03:40,590] - INFO: Epoch 3008/9999, Iter 300720: Loss = 0.01226181723177433, lr = [1.25e-05] +[2024-05-26 21:04:07,753] - INFO: Epoch 3008/9999, Iter 300760: Loss = 0.006503910291939974, lr = [1.25e-05] +[2024-05-26 21:04:36,364] - INFO: Epoch 3009/9999, Iter 300800: Loss = 0.01620364375412464, lr = [1.25e-05] +[2024-05-26 21:05:03,654] - INFO: Epoch 3009/9999, Iter 300840: Loss = 0.0062136161141097546, lr = [1.25e-05] +[2024-05-26 21:05:30,871] - INFO: Epoch 3009/9999, Iter 300880: Loss = 0.013634607195854187, lr = [1.25e-05] +[2024-05-26 21:05:59,532] - INFO: Epoch 3010/9999, Iter 300920: Loss = 0.010790805332362652, lr = [1.25e-05] +[2024-05-26 21:06:26,705] - INFO: Epoch 3010/9999, Iter 300960: Loss = 0.013687125407159328, lr = [1.25e-05] +[2024-05-26 21:06:53,568] - INFO: Evaluate at epoch 3010! +[2024-05-26 21:06:58,271] - INFO: Eval PSNR (max): 38.248 (2940) SSIM (max): 0.9618 (2860) +[2024-05-26 21:06:58,271] - INFO: Eval PSNR (current): 38.227 (3010) SSIM (current): 0.9617 (3010) +[2024-05-26 21:06:58,271] - INFO: Evaluation over. +[2024-05-26 21:07:05,142] - INFO: Epoch 3011/9999, Iter 301000: Loss = 0.012203944846987724, lr = [1.25e-05] +[2024-05-26 21:07:32,444] - INFO: Epoch 3011/9999, Iter 301040: Loss = 0.01131652481853962, lr = [1.25e-05] +[2024-05-26 21:07:59,545] - INFO: Epoch 3011/9999, Iter 301080: Loss = 0.011162681505084038, lr = [1.25e-05] +[2024-05-26 21:08:28,317] - INFO: Epoch 3012/9999, Iter 301120: Loss = 0.012203261256217957, lr = [1.25e-05] +[2024-05-26 21:08:55,560] - INFO: Epoch 3012/9999, Iter 301160: Loss = 0.01047424040734768, lr = [1.25e-05] +[2024-05-26 21:09:24,177] - INFO: Epoch 3013/9999, Iter 301200: Loss = 0.009903231635689735, lr = [1.25e-05] +[2024-05-26 21:09:51,492] - INFO: Epoch 3013/9999, Iter 301240: Loss = 0.013213430531322956, lr = [1.25e-05] +[2024-05-26 21:10:18,741] - INFO: Epoch 3013/9999, Iter 301280: Loss = 0.017822226509451866, lr = [1.25e-05] +[2024-05-26 21:10:47,515] - INFO: Epoch 3014/9999, Iter 301320: Loss = 0.00771886995062232, lr = [1.25e-05] +[2024-05-26 21:11:14,818] - INFO: Epoch 3014/9999, Iter 301360: Loss = 0.013718172907829285, lr = [1.25e-05] +[2024-05-26 21:11:43,494] - INFO: Epoch 3015/9999, Iter 301400: Loss = 0.015319811180233955, lr = [1.25e-05] +[2024-05-26 21:12:10,758] - INFO: Epoch 3015/9999, Iter 301440: Loss = 0.015472267754375935, lr = [1.25e-05] +[2024-05-26 21:12:37,966] - INFO: Epoch 3015/9999, Iter 301480: Loss = 0.01530005969107151, lr = [1.25e-05] +[2024-05-26 21:12:51,271] - INFO: Evaluate at epoch 3015! +[2024-05-26 21:12:55,916] - INFO: Eval PSNR (max): 38.248 (2940) SSIM (max): 0.9618 (2860) +[2024-05-26 21:12:55,916] - INFO: Eval PSNR (current): 38.221 (3015) SSIM (current): 0.9617 (3015) +[2024-05-26 21:12:55,916] - INFO: Evaluation over. +[2024-05-26 21:13:16,167] - INFO: Epoch 3016/9999, Iter 301520: Loss = 0.016568655148148537, lr = [1.25e-05] +[2024-05-26 21:13:43,392] - INFO: Epoch 3016/9999, Iter 301560: Loss = 0.018131902441382408, lr = [1.25e-05] +[2024-05-26 21:14:12,059] - INFO: Epoch 3017/9999, Iter 301600: Loss = 0.017253119498491287, lr = [1.25e-05] +[2024-05-26 21:14:39,314] - INFO: Epoch 3017/9999, Iter 301640: Loss = 0.015211561694741249, lr = [1.25e-05] +[2024-05-26 21:15:06,529] - INFO: Epoch 3017/9999, Iter 301680: Loss = 0.006719742901623249, lr = [1.25e-05] +[2024-05-26 21:15:35,148] - INFO: Epoch 3018/9999, Iter 301720: Loss = 0.013742052949965, lr = [1.25e-05] +[2024-05-26 21:16:02,394] - INFO: Epoch 3018/9999, Iter 301760: Loss = 0.016347533091902733, lr = [1.25e-05] +[2024-05-26 21:16:31,087] - INFO: Epoch 3019/9999, Iter 301800: Loss = 0.015047883614897728, lr = [1.25e-05] +[2024-05-26 21:16:58,459] - INFO: Epoch 3019/9999, Iter 301840: Loss = 0.014425710774958134, lr = [1.25e-05] +[2024-05-26 21:17:25,628] - INFO: Epoch 3019/9999, Iter 301880: Loss = 0.011924533173441887, lr = [1.25e-05] +[2024-05-26 21:17:54,360] - INFO: Epoch 3020/9999, Iter 301920: Loss = 0.007353425025939941, lr = [1.25e-05] +[2024-05-26 21:18:21,502] - INFO: Epoch 3020/9999, Iter 301960: Loss = 0.01855781301856041, lr = [1.25e-05] +[2024-05-26 21:18:48,390] - INFO: Evaluate at epoch 3020! +[2024-05-26 21:18:53,047] - INFO: Eval PSNR (max): 38.248 (2940) SSIM (max): 0.9618 (2860) +[2024-05-26 21:18:53,048] - INFO: Eval PSNR (current): 38.233 (3020) SSIM (current): 0.9618 (3020) +[2024-05-26 21:18:53,048] - INFO: Evaluation over. +[2024-05-26 21:18:59,766] - INFO: Epoch 3021/9999, Iter 302000: Loss = 0.016455085948109627, lr = [1.25e-05] +[2024-05-26 21:19:27,138] - INFO: Epoch 3021/9999, Iter 302040: Loss = 0.00855664536356926, lr = [1.25e-05] +[2024-05-26 21:19:54,303] - INFO: Epoch 3021/9999, Iter 302080: Loss = 0.009434349834918976, lr = [1.25e-05] +[2024-05-26 21:20:23,049] - INFO: Epoch 3022/9999, Iter 302120: Loss = 0.017148444429039955, lr = [1.25e-05] +[2024-05-26 21:20:50,268] - INFO: Epoch 3022/9999, Iter 302160: Loss = 0.012030215002596378, lr = [1.25e-05] +[2024-05-26 21:21:18,985] - INFO: Epoch 3023/9999, Iter 302200: Loss = 0.016278918832540512, lr = [1.25e-05] +[2024-05-26 21:21:46,170] - INFO: Epoch 3023/9999, Iter 302240: Loss = 0.006306818220764399, lr = [1.25e-05] +[2024-05-26 21:22:13,330] - INFO: Epoch 3023/9999, Iter 302280: Loss = 0.00964925717562437, lr = [1.25e-05] +[2024-05-26 21:22:41,829] - INFO: Epoch 3024/9999, Iter 302320: Loss = 0.010383890941739082, lr = [1.25e-05] +[2024-05-26 21:23:09,084] - INFO: Epoch 3024/9999, Iter 302360: Loss = 0.011609360575675964, lr = [1.25e-05] +[2024-05-26 21:23:37,536] - INFO: Epoch 3025/9999, Iter 302400: Loss = 0.018032440915703773, lr = [1.25e-05] +[2024-05-26 21:24:04,811] - INFO: Epoch 3025/9999, Iter 302440: Loss = 0.020523808896541595, lr = [1.25e-05] +[2024-05-26 21:24:32,133] - INFO: Epoch 3025/9999, Iter 302480: Loss = 0.006666422821581364, lr = [1.25e-05] +[2024-05-26 21:24:45,405] - INFO: Evaluate at epoch 3025! +[2024-05-26 21:24:50,092] - INFO: Eval PSNR (max): 38.248 (2940) SSIM (max): 0.9618 (2860) +[2024-05-26 21:24:50,092] - INFO: Eval PSNR (current): 38.188 (3025) SSIM (current): 0.9616 (3025) +[2024-05-26 21:24:50,092] - INFO: Evaluation over. +[2024-05-26 21:25:10,541] - INFO: Epoch 3026/9999, Iter 302520: Loss = 0.00939758401364088, lr = [1.25e-05] +[2024-05-26 21:25:37,829] - INFO: Epoch 3026/9999, Iter 302560: Loss = 0.011010391637682915, lr = [1.25e-05] +[2024-05-26 21:26:06,518] - INFO: Epoch 3027/9999, Iter 302600: Loss = 0.005259196739643812, lr = [1.25e-05] +[2024-05-26 21:26:33,798] - INFO: Epoch 3027/9999, Iter 302640: Loss = 0.011029092594981194, lr = [1.25e-05] +[2024-05-26 21:27:00,971] - INFO: Epoch 3027/9999, Iter 302680: Loss = 0.009025948122143745, lr = [1.25e-05] +[2024-05-26 21:27:29,620] - INFO: Epoch 3028/9999, Iter 302720: Loss = 0.00711039500311017, lr = [1.25e-05] +[2024-05-26 21:27:56,843] - INFO: Epoch 3028/9999, Iter 302760: Loss = 0.019794663414359093, lr = [1.25e-05] +[2024-05-26 21:28:25,529] - INFO: Epoch 3029/9999, Iter 302800: Loss = 0.011681614443659782, lr = [1.25e-05] +[2024-05-26 21:28:52,798] - INFO: Epoch 3029/9999, Iter 302840: Loss = 0.019780322909355164, lr = [1.25e-05] +[2024-05-26 21:29:20,018] - INFO: Epoch 3029/9999, Iter 302880: Loss = 0.0050230626948177814, lr = [1.25e-05] +[2024-05-26 21:29:48,830] - INFO: Epoch 3030/9999, Iter 302920: Loss = 0.013426626101136208, lr = [1.25e-05] +[2024-05-26 21:30:16,004] - INFO: Epoch 3030/9999, Iter 302960: Loss = 0.010232866741716862, lr = [1.25e-05] +[2024-05-26 21:30:42,836] - INFO: Evaluate at epoch 3030! +[2024-05-26 21:30:52,791] - INFO: Eval PSNR (max): 38.248 (2940) SSIM (max): 0.9618 (3030) +[2024-05-26 21:30:52,792] - INFO: Eval PSNR (current): 38.224 (3030) SSIM (current): 0.9618 (3030) +[2024-05-26 21:30:52,792] - INFO: Evaluation over. +[2024-05-26 21:30:59,470] - INFO: Epoch 3031/9999, Iter 303000: Loss = 0.008710324764251709, lr = [1.25e-05] +[2024-05-26 21:31:26,881] - INFO: Epoch 3031/9999, Iter 303040: Loss = 0.014875705353915691, lr = [1.25e-05] +[2024-05-26 21:31:53,995] - INFO: Epoch 3031/9999, Iter 303080: Loss = 0.017634369432926178, lr = [1.25e-05] +[2024-05-26 21:32:22,659] - INFO: Epoch 3032/9999, Iter 303120: Loss = 0.01197427324950695, lr = [1.25e-05] +[2024-05-26 21:32:49,903] - INFO: Epoch 3032/9999, Iter 303160: Loss = 0.010069344192743301, lr = [1.25e-05] +[2024-05-26 21:33:18,488] - INFO: Epoch 3033/9999, Iter 303200: Loss = 0.01150625478476286, lr = [1.25e-05] +[2024-05-26 21:33:45,808] - INFO: Epoch 3033/9999, Iter 303240: Loss = 0.008681777864694595, lr = [1.25e-05] +[2024-05-26 21:34:12,963] - INFO: Epoch 3033/9999, Iter 303280: Loss = 0.015518647618591785, lr = [1.25e-05] +[2024-05-26 21:34:41,506] - INFO: Epoch 3034/9999, Iter 303320: Loss = 0.007388352416455746, lr = [1.25e-05] +[2024-05-26 21:35:08,713] - INFO: Epoch 3034/9999, Iter 303360: Loss = 0.009670550003647804, lr = [1.25e-05] +[2024-05-26 21:35:37,454] - INFO: Epoch 3035/9999, Iter 303400: Loss = 0.010145843029022217, lr = [1.25e-05] +[2024-05-26 21:36:04,717] - INFO: Epoch 3035/9999, Iter 303440: Loss = 0.020234212279319763, lr = [1.25e-05] +[2024-05-26 21:36:31,904] - INFO: Epoch 3035/9999, Iter 303480: Loss = 0.016170838847756386, lr = [1.25e-05] +[2024-05-26 21:36:45,211] - INFO: Evaluate at epoch 3035! +[2024-05-26 21:36:49,891] - INFO: Eval PSNR (max): 38.248 (2940) SSIM (max): 0.9618 (3030) +[2024-05-26 21:36:49,891] - INFO: Eval PSNR (current): 38.229 (3035) SSIM (current): 0.9617 (3035) +[2024-05-26 21:36:49,891] - INFO: Evaluation over. +[2024-05-26 21:37:10,335] - INFO: Epoch 3036/9999, Iter 303520: Loss = 0.015688830986618996, lr = [1.25e-05] +[2024-05-26 21:37:37,511] - INFO: Epoch 3036/9999, Iter 303560: Loss = 0.01476430892944336, lr = [1.25e-05] +[2024-05-26 21:38:06,100] - INFO: Epoch 3037/9999, Iter 303600: Loss = 0.014256498776376247, lr = [1.25e-05] +[2024-05-26 21:38:33,395] - INFO: Epoch 3037/9999, Iter 303640: Loss = 0.01958230324089527, lr = [1.25e-05] +[2024-05-26 21:39:00,623] - INFO: Epoch 3037/9999, Iter 303680: Loss = 0.014373228885233402, lr = [1.25e-05] +[2024-05-26 21:39:29,413] - INFO: Epoch 3038/9999, Iter 303720: Loss = 0.011503351852297783, lr = [1.25e-05] +[2024-05-26 21:39:56,620] - INFO: Epoch 3038/9999, Iter 303760: Loss = 0.01765364035964012, lr = [1.25e-05] +[2024-05-26 21:40:25,141] - INFO: Epoch 3039/9999, Iter 303800: Loss = 0.01919226534664631, lr = [1.25e-05] +[2024-05-26 21:40:52,402] - INFO: Epoch 3039/9999, Iter 303840: Loss = 0.010930145159363747, lr = [1.25e-05] +[2024-05-26 21:41:19,586] - INFO: Epoch 3039/9999, Iter 303880: Loss = 0.015328139066696167, lr = [1.25e-05] +[2024-05-26 21:41:48,298] - INFO: Epoch 3040/9999, Iter 303920: Loss = 0.014607133343815804, lr = [1.25e-05] +[2024-05-26 21:42:15,611] - INFO: Epoch 3040/9999, Iter 303960: Loss = 0.010573027655482292, lr = [1.25e-05] +[2024-05-26 21:42:42,535] - INFO: Evaluate at epoch 3040! +[2024-05-26 21:42:47,173] - INFO: Eval PSNR (max): 38.248 (2940) SSIM (max): 0.9618 (3030) +[2024-05-26 21:42:47,173] - INFO: Eval PSNR (current): 38.240 (3040) SSIM (current): 0.9617 (3040) +[2024-05-26 21:42:47,174] - INFO: Evaluation over. +[2024-05-26 21:42:54,020] - INFO: Epoch 3041/9999, Iter 304000: Loss = 0.011668006889522076, lr = [1.25e-05] +[2024-05-26 21:43:21,320] - INFO: Epoch 3041/9999, Iter 304040: Loss = 0.010807426646351814, lr = [1.25e-05] +[2024-05-26 21:43:48,553] - INFO: Epoch 3041/9999, Iter 304080: Loss = 0.007305892184376717, lr = [1.25e-05] +[2024-05-26 21:44:17,174] - INFO: Epoch 3042/9999, Iter 304120: Loss = 0.00869366992264986, lr = [1.25e-05] +[2024-05-26 21:44:44,394] - INFO: Epoch 3042/9999, Iter 304160: Loss = 0.012811008840799332, lr = [1.25e-05] +[2024-05-26 21:45:13,085] - INFO: Epoch 3043/9999, Iter 304200: Loss = 0.018149564042687416, lr = [1.25e-05] +[2024-05-26 21:45:40,425] - INFO: Epoch 3043/9999, Iter 304240: Loss = 0.012187719345092773, lr = [1.25e-05] +[2024-05-26 21:46:07,554] - INFO: Epoch 3043/9999, Iter 304280: Loss = 0.014842755161225796, lr = [1.25e-05] +[2024-05-26 21:46:36,085] - INFO: Epoch 3044/9999, Iter 304320: Loss = 0.004232219886034727, lr = [1.25e-05] +[2024-05-26 21:47:03,326] - INFO: Epoch 3044/9999, Iter 304360: Loss = 0.009088926017284393, lr = [1.25e-05] +[2024-05-26 21:47:31,698] - INFO: Epoch 3045/9999, Iter 304400: Loss = 0.013011450879275799, lr = [1.25e-05] +[2024-05-26 21:47:58,973] - INFO: Epoch 3045/9999, Iter 304440: Loss = 0.010561620816588402, lr = [1.25e-05] +[2024-05-26 21:48:26,110] - INFO: Epoch 3045/9999, Iter 304480: Loss = 0.013063795864582062, lr = [1.25e-05] +[2024-05-26 21:48:39,508] - INFO: Evaluate at epoch 3045! +[2024-05-26 21:48:44,307] - INFO: Eval PSNR (max): 38.248 (2940) SSIM (max): 0.9618 (3030) +[2024-05-26 21:48:44,307] - INFO: Eval PSNR (current): 38.235 (3045) SSIM (current): 0.9617 (3045) +[2024-05-26 21:48:44,307] - INFO: Evaluation over. +[2024-05-26 21:49:04,674] - INFO: Epoch 3046/9999, Iter 304520: Loss = 0.016820808872580528, lr = [1.25e-05] +[2024-05-26 21:49:31,859] - INFO: Epoch 3046/9999, Iter 304560: Loss = 0.010724500752985477, lr = [1.25e-05] +[2024-05-26 21:50:00,398] - INFO: Epoch 3047/9999, Iter 304600: Loss = 0.013072050176560879, lr = [1.25e-05] +[2024-05-26 21:50:27,675] - INFO: Epoch 3047/9999, Iter 304640: Loss = 0.010179929435253143, lr = [1.25e-05] +[2024-05-26 21:50:54,875] - INFO: Epoch 3047/9999, Iter 304680: Loss = 0.013794106431305408, lr = [1.25e-05] +[2024-05-26 21:51:23,503] - INFO: Epoch 3048/9999, Iter 304720: Loss = 0.0168712567538023, lr = [1.25e-05] +[2024-05-26 21:51:50,695] - INFO: Epoch 3048/9999, Iter 304760: Loss = 0.011444038711488247, lr = [1.25e-05] +[2024-05-26 21:52:19,316] - INFO: Epoch 3049/9999, Iter 304800: Loss = 0.01949193887412548, lr = [1.25e-05] +[2024-05-26 21:52:46,590] - INFO: Epoch 3049/9999, Iter 304840: Loss = 0.010599366389214993, lr = [1.25e-05] +[2024-05-26 21:53:13,749] - INFO: Epoch 3049/9999, Iter 304880: Loss = 0.013956550508737564, lr = [1.25e-05] +[2024-05-26 21:53:42,621] - INFO: Epoch 3050/9999, Iter 304920: Loss = 0.01848146691918373, lr = [1.25e-05] +[2024-05-26 21:54:09,872] - INFO: Epoch 3050/9999, Iter 304960: Loss = 0.02235916629433632, lr = [1.25e-05] +[2024-05-26 21:54:36,702] - INFO: Evaluate at epoch 3050! +[2024-05-26 21:54:41,255] - INFO: Eval PSNR (max): 38.248 (2940) SSIM (max): 0.9618 (3030) +[2024-05-26 21:54:41,256] - INFO: Eval PSNR (current): 38.242 (3050) SSIM (current): 0.9617 (3050) +[2024-05-26 21:54:41,256] - INFO: Evaluation over. +[2024-05-26 21:54:48,310] - INFO: Epoch 3051/9999, Iter 305000: Loss = 0.011836232617497444, lr = [1.25e-05] +[2024-05-26 21:55:15,603] - INFO: Epoch 3051/9999, Iter 305040: Loss = 0.014289075508713722, lr = [1.25e-05] +[2024-05-26 21:55:42,794] - INFO: Epoch 3051/9999, Iter 305080: Loss = 0.011775720864534378, lr = [1.25e-05] +[2024-05-26 21:56:11,430] - INFO: Epoch 3052/9999, Iter 305120: Loss = 0.0076940348371863365, lr = [1.25e-05] +[2024-05-26 21:56:38,592] - INFO: Epoch 3052/9999, Iter 305160: Loss = 0.014249359257519245, lr = [1.25e-05] +[2024-05-26 21:57:07,168] - INFO: Epoch 3053/9999, Iter 305200: Loss = 0.013808418065309525, lr = [1.25e-05] +[2024-05-26 21:57:34,416] - INFO: Epoch 3053/9999, Iter 305240: Loss = 0.016375470906496048, lr = [1.25e-05] +[2024-05-26 21:58:01,610] - INFO: Epoch 3053/9999, Iter 305280: Loss = 0.011260757222771645, lr = [1.25e-05] +[2024-05-26 21:58:29,956] - INFO: Epoch 3054/9999, Iter 305320: Loss = 0.01437312550842762, lr = [1.25e-05] +[2024-05-26 21:58:57,106] - INFO: Epoch 3054/9999, Iter 305360: Loss = 0.014634153805673122, lr = [1.25e-05] +[2024-05-26 21:59:25,600] - INFO: Epoch 3055/9999, Iter 305400: Loss = 0.015187609940767288, lr = [1.25e-05] +[2024-05-26 21:59:52,832] - INFO: Epoch 3055/9999, Iter 305440: Loss = 0.012537218630313873, lr = [1.25e-05] +[2024-05-26 22:00:20,029] - INFO: Epoch 3055/9999, Iter 305480: Loss = 0.003233045805245638, lr = [1.25e-05] +[2024-05-26 22:00:33,303] - INFO: Evaluate at epoch 3055! +[2024-05-26 22:00:38,042] - INFO: Eval PSNR (max): 38.248 (2940) SSIM (max): 0.9618 (3030) +[2024-05-26 22:00:38,042] - INFO: Eval PSNR (current): 38.243 (3055) SSIM (current): 0.9617 (3055) +[2024-05-26 22:00:38,042] - INFO: Evaluation over. +[2024-05-26 22:00:58,657] - INFO: Epoch 3056/9999, Iter 305520: Loss = 0.017456209287047386, lr = [1.25e-05] +[2024-05-26 22:01:25,930] - INFO: Epoch 3056/9999, Iter 305560: Loss = 0.010669589042663574, lr = [1.25e-05] +[2024-05-26 22:01:54,412] - INFO: Epoch 3057/9999, Iter 305600: Loss = 0.01673976331949234, lr = [1.25e-05] +[2024-05-26 22:02:21,718] - INFO: Epoch 3057/9999, Iter 305640: Loss = 0.008856721222400665, lr = [1.25e-05] +[2024-05-26 22:02:48,891] - INFO: Epoch 3057/9999, Iter 305680: Loss = 0.013547251001000404, lr = [1.25e-05] +[2024-05-26 22:03:17,598] - INFO: Epoch 3058/9999, Iter 305720: Loss = 0.02082844451069832, lr = [1.25e-05] +[2024-05-26 22:03:44,824] - INFO: Epoch 3058/9999, Iter 305760: Loss = 0.009721780195832253, lr = [1.25e-05] +[2024-05-26 22:04:13,549] - INFO: Epoch 3059/9999, Iter 305800: Loss = 0.006896733772009611, lr = [1.25e-05] +[2024-05-26 22:04:40,858] - INFO: Epoch 3059/9999, Iter 305840: Loss = 0.015200258232653141, lr = [1.25e-05] +[2024-05-26 22:05:08,070] - INFO: Epoch 3059/9999, Iter 305880: Loss = 0.00863864179700613, lr = [1.25e-05] +[2024-05-26 22:05:36,585] - INFO: Epoch 3060/9999, Iter 305920: Loss = 0.013131342828273773, lr = [1.25e-05] +[2024-05-26 22:06:03,791] - INFO: Epoch 3060/9999, Iter 305960: Loss = 0.007463650777935982, lr = [1.25e-05] +[2024-05-26 22:06:30,773] - INFO: Evaluate at epoch 3060! +[2024-05-26 22:06:35,497] - INFO: Eval PSNR (max): 38.248 (2940) SSIM (max): 0.9618 (3030) +[2024-05-26 22:06:35,497] - INFO: Eval PSNR (current): 38.245 (3060) SSIM (current): 0.9617 (3060) +[2024-05-26 22:06:35,497] - INFO: Evaluation over. +[2024-05-26 22:06:42,212] - INFO: Epoch 3061/9999, Iter 306000: Loss = 0.009394257329404354, lr = [1.25e-05] +[2024-05-26 22:07:09,535] - INFO: Epoch 3061/9999, Iter 306040: Loss = 0.010006148368120193, lr = [1.25e-05] +[2024-05-26 22:07:36,676] - INFO: Epoch 3061/9999, Iter 306080: Loss = 0.015280204825103283, lr = [1.25e-05] +[2024-05-26 22:08:05,283] - INFO: Epoch 3062/9999, Iter 306120: Loss = 0.012683087028563023, lr = [1.25e-05] +[2024-05-26 22:08:32,478] - INFO: Epoch 3062/9999, Iter 306160: Loss = 0.008448965847492218, lr = [1.25e-05] +[2024-05-26 22:09:01,139] - INFO: Epoch 3063/9999, Iter 306200: Loss = 0.009134038351476192, lr = [1.25e-05] +[2024-05-26 22:09:28,469] - INFO: Epoch 3063/9999, Iter 306240: Loss = 0.0222787968814373, lr = [1.25e-05] +[2024-05-26 22:09:55,606] - INFO: Epoch 3063/9999, Iter 306280: Loss = 0.01247763354331255, lr = [1.25e-05] +[2024-05-26 22:10:24,158] - INFO: Epoch 3064/9999, Iter 306320: Loss = 0.012433383613824844, lr = [1.25e-05] +[2024-05-26 22:10:51,299] - INFO: Epoch 3064/9999, Iter 306360: Loss = 0.007141469977796078, lr = [1.25e-05] +[2024-05-26 22:11:19,783] - INFO: Epoch 3065/9999, Iter 306400: Loss = 0.009552611969411373, lr = [1.25e-05] +[2024-05-26 22:11:47,150] - INFO: Epoch 3065/9999, Iter 306440: Loss = 0.017974844202399254, lr = [1.25e-05] +[2024-05-26 22:12:14,327] - INFO: Epoch 3065/9999, Iter 306480: Loss = 0.007576833013445139, lr = [1.25e-05] +[2024-05-26 22:12:27,588] - INFO: Evaluate at epoch 3065! +[2024-05-26 22:12:32,255] - INFO: Eval PSNR (max): 38.248 (2940) SSIM (max): 0.9618 (3030) +[2024-05-26 22:12:32,255] - INFO: Eval PSNR (current): 38.213 (3065) SSIM (current): 0.9617 (3065) +[2024-05-26 22:12:32,255] - INFO: Evaluation over. +[2024-05-26 22:12:52,851] - INFO: Epoch 3066/9999, Iter 306520: Loss = 0.019436035305261612, lr = [1.25e-05] +[2024-05-26 22:13:20,022] - INFO: Epoch 3066/9999, Iter 306560: Loss = 0.00821507629007101, lr = [1.25e-05] +[2024-05-26 22:13:48,671] - INFO: Epoch 3067/9999, Iter 306600: Loss = 0.011622101999819279, lr = [1.25e-05] +[2024-05-26 22:14:15,978] - INFO: Epoch 3067/9999, Iter 306640: Loss = 0.014147007837891579, lr = [1.25e-05] +[2024-05-26 22:14:43,141] - INFO: Epoch 3067/9999, Iter 306680: Loss = 0.018587438389658928, lr = [1.25e-05] +[2024-05-26 22:15:11,952] - INFO: Epoch 3068/9999, Iter 306720: Loss = 0.014796820469200611, lr = [1.25e-05] +[2024-05-26 22:15:39,159] - INFO: Epoch 3068/9999, Iter 306760: Loss = 0.021488485857844353, lr = [1.25e-05] +[2024-05-26 22:16:07,851] - INFO: Epoch 3069/9999, Iter 306800: Loss = 0.008593134582042694, lr = [1.25e-05] +[2024-05-26 22:16:35,159] - INFO: Epoch 3069/9999, Iter 306840: Loss = 0.009274469688534737, lr = [1.25e-05] +[2024-05-26 22:17:02,354] - INFO: Epoch 3069/9999, Iter 306880: Loss = 0.011997735127806664, lr = [1.25e-05] +[2024-05-26 22:17:31,174] - INFO: Epoch 3070/9999, Iter 306920: Loss = 0.015265786089003086, lr = [1.25e-05] +[2024-05-26 22:17:58,375] - INFO: Epoch 3070/9999, Iter 306960: Loss = 0.01411859504878521, lr = [1.25e-05] +[2024-05-26 22:18:25,226] - INFO: Evaluate at epoch 3070! +[2024-05-26 22:18:29,710] - INFO: Eval PSNR (max): 38.248 (2940) SSIM (max): 0.9618 (3030) +[2024-05-26 22:18:29,710] - INFO: Eval PSNR (current): 38.244 (3070) SSIM (current): 0.9617 (3070) +[2024-05-26 22:18:29,711] - INFO: Evaluation over. +[2024-05-26 22:18:36,456] - INFO: Epoch 3071/9999, Iter 307000: Loss = 0.013837719336152077, lr = [1.25e-05] +[2024-05-26 22:19:03,826] - INFO: Epoch 3071/9999, Iter 307040: Loss = 0.011450185440480709, lr = [1.25e-05] +[2024-05-26 22:19:31,018] - INFO: Epoch 3071/9999, Iter 307080: Loss = 0.021329659968614578, lr = [1.25e-05] +[2024-05-26 22:19:59,613] - INFO: Epoch 3072/9999, Iter 307120: Loss = 0.016546765342354774, lr = [1.25e-05] +[2024-05-26 22:20:26,795] - INFO: Epoch 3072/9999, Iter 307160: Loss = 0.010730285197496414, lr = [1.25e-05] +[2024-05-26 22:20:55,546] - INFO: Epoch 3073/9999, Iter 307200: Loss = 0.012967399321496487, lr = [1.25e-05] +[2024-05-26 22:21:22,830] - INFO: Epoch 3073/9999, Iter 307240: Loss = 0.009370328858494759, lr = [1.25e-05] +[2024-05-26 22:21:50,028] - INFO: Epoch 3073/9999, Iter 307280: Loss = 0.005433780141174793, lr = [1.25e-05] +[2024-05-26 22:22:18,744] - INFO: Epoch 3074/9999, Iter 307320: Loss = 0.011997898109257221, lr = [1.25e-05] +[2024-05-26 22:22:45,954] - INFO: Epoch 3074/9999, Iter 307360: Loss = 0.011348503641784191, lr = [1.25e-05] +[2024-05-26 22:23:14,328] - INFO: Epoch 3075/9999, Iter 307400: Loss = 0.015569287352263927, lr = [1.25e-05] +[2024-05-26 22:23:41,585] - INFO: Epoch 3075/9999, Iter 307440: Loss = 0.0139045724645257, lr = [1.25e-05] +[2024-05-26 22:24:08,754] - INFO: Epoch 3075/9999, Iter 307480: Loss = 0.018422115594148636, lr = [1.25e-05] +[2024-05-26 22:24:22,046] - INFO: Evaluate at epoch 3075! +[2024-05-26 22:24:26,640] - INFO: Eval PSNR (max): 38.248 (2940) SSIM (max): 0.9618 (3030) +[2024-05-26 22:24:26,641] - INFO: Eval PSNR (current): 38.240 (3075) SSIM (current): 0.9617 (3075) +[2024-05-26 22:24:26,641] - INFO: Evaluation over. +[2024-05-26 22:24:47,142] - INFO: Epoch 3076/9999, Iter 307520: Loss = 0.008678320795297623, lr = [1.25e-05] +[2024-05-26 22:25:14,314] - INFO: Epoch 3076/9999, Iter 307560: Loss = 0.011033833026885986, lr = [1.25e-05] +[2024-05-26 22:25:42,809] - INFO: Epoch 3077/9999, Iter 307600: Loss = 0.012594185769557953, lr = [1.25e-05] +[2024-05-26 22:26:09,994] - INFO: Epoch 3077/9999, Iter 307640: Loss = 0.012929918244481087, lr = [1.25e-05] +[2024-05-26 22:26:37,254] - INFO: Epoch 3077/9999, Iter 307680: Loss = 0.0103385541588068, lr = [1.25e-05] +[2024-05-26 22:27:06,009] - INFO: Epoch 3078/9999, Iter 307720: Loss = 0.012441670522093773, lr = [1.25e-05] +[2024-05-26 22:27:33,246] - INFO: Epoch 3078/9999, Iter 307760: Loss = 0.022789429873228073, lr = [1.25e-05] +[2024-05-26 22:28:01,822] - INFO: Epoch 3079/9999, Iter 307800: Loss = 0.017161738127470016, lr = [1.25e-05] +[2024-05-26 22:28:29,069] - INFO: Epoch 3079/9999, Iter 307840: Loss = 0.011641561053693295, lr = [1.25e-05] +[2024-05-26 22:28:56,311] - INFO: Epoch 3079/9999, Iter 307880: Loss = 0.007611584383994341, lr = [1.25e-05] +[2024-05-26 22:29:24,845] - INFO: Epoch 3080/9999, Iter 307920: Loss = 0.016439635306596756, lr = [1.25e-05] +[2024-05-26 22:29:52,028] - INFO: Epoch 3080/9999, Iter 307960: Loss = 0.00830102153122425, lr = [1.25e-05] +[2024-05-26 22:30:18,864] - INFO: Evaluate at epoch 3080! +[2024-05-26 22:30:23,546] - INFO: Eval PSNR (max): 38.248 (2940) SSIM (max): 0.9618 (3030) +[2024-05-26 22:30:23,546] - INFO: Eval PSNR (current): 38.239 (3080) SSIM (current): 0.9617 (3080) +[2024-05-26 22:30:23,546] - INFO: Evaluation over. +[2024-05-26 22:30:30,307] - INFO: Epoch 3081/9999, Iter 308000: Loss = 0.008528245612978935, lr = [1.25e-05] +[2024-05-26 22:30:57,542] - INFO: Epoch 3081/9999, Iter 308040: Loss = 0.012336666695773602, lr = [1.25e-05] +[2024-05-26 22:31:24,718] - INFO: Epoch 3081/9999, Iter 308080: Loss = 0.017138004302978516, lr = [1.25e-05] +[2024-05-26 22:31:53,444] - INFO: Epoch 3082/9999, Iter 308120: Loss = 0.011197458952665329, lr = [1.25e-05] +[2024-05-26 22:32:20,581] - INFO: Epoch 3082/9999, Iter 308160: Loss = 0.009812735952436924, lr = [1.25e-05] +[2024-05-26 22:32:49,262] - INFO: Epoch 3083/9999, Iter 308200: Loss = 0.010376877151429653, lr = [1.25e-05] +[2024-05-26 22:33:16,515] - INFO: Epoch 3083/9999, Iter 308240: Loss = 0.011339865624904633, lr = [1.25e-05] +[2024-05-26 22:33:43,768] - INFO: Epoch 3083/9999, Iter 308280: Loss = 0.008789906278252602, lr = [1.25e-05] +[2024-05-26 22:34:12,424] - INFO: Epoch 3084/9999, Iter 308320: Loss = 0.009760920889675617, lr = [1.25e-05] +[2024-05-26 22:34:39,587] - INFO: Epoch 3084/9999, Iter 308360: Loss = 0.015009153634309769, lr = [1.25e-05] +[2024-05-26 22:35:08,461] - INFO: Epoch 3085/9999, Iter 308400: Loss = 0.015281878411769867, lr = [1.25e-05] +[2024-05-26 22:35:35,781] - INFO: Epoch 3085/9999, Iter 308440: Loss = 0.009201796725392342, lr = [1.25e-05] +[2024-05-26 22:36:03,032] - INFO: Epoch 3085/9999, Iter 308480: Loss = 0.01015573088079691, lr = [1.25e-05] +[2024-05-26 22:36:16,303] - INFO: Evaluate at epoch 3085! +[2024-05-26 22:36:20,935] - INFO: Eval PSNR (max): 38.248 (2940) SSIM (max): 0.9618 (3030) +[2024-05-26 22:36:20,935] - INFO: Eval PSNR (current): 38.237 (3085) SSIM (current): 0.9617 (3085) +[2024-05-26 22:36:20,935] - INFO: Evaluation over. +[2024-05-26 22:36:41,363] - INFO: Epoch 3086/9999, Iter 308520: Loss = 0.014854952692985535, lr = [1.25e-05] +[2024-05-26 22:37:08,531] - INFO: Epoch 3086/9999, Iter 308560: Loss = 0.013748213648796082, lr = [1.25e-05] +[2024-05-26 22:37:37,192] - INFO: Epoch 3087/9999, Iter 308600: Loss = 0.021532757207751274, lr = [1.25e-05] +[2024-05-26 22:38:04,454] - INFO: Epoch 3087/9999, Iter 308640: Loss = 0.01634524203836918, lr = [1.25e-05] +[2024-05-26 22:38:31,647] - INFO: Epoch 3087/9999, Iter 308680: Loss = 0.004287150222808123, lr = [1.25e-05] +[2024-05-26 22:39:00,411] - INFO: Epoch 3088/9999, Iter 308720: Loss = 0.01623140089213848, lr = [1.25e-05] +[2024-05-26 22:39:27,594] - INFO: Epoch 3088/9999, Iter 308760: Loss = 0.00682638818398118, lr = [1.25e-05] +[2024-05-26 22:39:56,210] - INFO: Epoch 3089/9999, Iter 308800: Loss = 0.007933370769023895, lr = [1.25e-05] +[2024-05-26 22:40:23,435] - INFO: Epoch 3089/9999, Iter 308840: Loss = 0.009784231893718243, lr = [1.25e-05] +[2024-05-26 22:40:50,637] - INFO: Epoch 3089/9999, Iter 308880: Loss = 0.00827098824083805, lr = [1.25e-05] +[2024-05-26 22:41:19,262] - INFO: Epoch 3090/9999, Iter 308920: Loss = 0.014170436188578606, lr = [1.25e-05] +[2024-05-26 22:41:46,422] - INFO: Epoch 3090/9999, Iter 308960: Loss = 0.012376553378999233, lr = [1.25e-05] +[2024-05-26 22:42:13,331] - INFO: Evaluate at epoch 3090! +[2024-05-26 22:42:18,042] - INFO: Eval PSNR (max): 38.248 (2940) SSIM (max): 0.9618 (3030) +[2024-05-26 22:42:18,043] - INFO: Eval PSNR (current): 38.219 (3090) SSIM (current): 0.9616 (3090) +[2024-05-26 22:42:18,043] - INFO: Evaluation over. +[2024-05-26 22:42:24,844] - INFO: Epoch 3091/9999, Iter 309000: Loss = 0.011731676757335663, lr = [1.25e-05] +[2024-05-26 22:42:52,166] - INFO: Epoch 3091/9999, Iter 309040: Loss = 0.013332189992070198, lr = [1.25e-05] +[2024-05-26 22:43:19,342] - INFO: Epoch 3091/9999, Iter 309080: Loss = 0.016937293112277985, lr = [1.25e-05] +[2024-05-26 22:43:48,092] - INFO: Epoch 3092/9999, Iter 309120: Loss = 0.013883261010050774, lr = [1.25e-05] +[2024-05-26 22:44:15,302] - INFO: Epoch 3092/9999, Iter 309160: Loss = 0.01570490375161171, lr = [1.25e-05] +[2024-05-26 22:44:43,858] - INFO: Epoch 3093/9999, Iter 309200: Loss = 0.01208691019564867, lr = [1.25e-05] +[2024-05-26 22:45:11,158] - INFO: Epoch 3093/9999, Iter 309240: Loss = 0.008387026377022266, lr = [1.25e-05] +[2024-05-26 22:45:38,363] - INFO: Epoch 3093/9999, Iter 309280: Loss = 0.011285888031125069, lr = [1.25e-05] +[2024-05-26 22:46:06,966] - INFO: Epoch 3094/9999, Iter 309320: Loss = 0.01709279790520668, lr = [1.25e-05] +[2024-05-26 22:46:34,161] - INFO: Epoch 3094/9999, Iter 309360: Loss = 0.03170905262231827, lr = [1.25e-05] +[2024-05-26 22:47:02,728] - INFO: Epoch 3095/9999, Iter 309400: Loss = 0.030109550803899765, lr = [1.25e-05] +[2024-05-26 22:47:30,010] - INFO: Epoch 3095/9999, Iter 309440: Loss = 0.006384058389812708, lr = [1.25e-05] +[2024-05-26 22:47:57,230] - INFO: Epoch 3095/9999, Iter 309480: Loss = 0.010914587415754795, lr = [1.25e-05] +[2024-05-26 22:48:10,514] - INFO: Evaluate at epoch 3095! +[2024-05-26 22:48:15,207] - INFO: Eval PSNR (max): 38.248 (2940) SSIM (max): 0.9618 (3030) +[2024-05-26 22:48:15,207] - INFO: Eval PSNR (current): 38.238 (3095) SSIM (current): 0.9617 (3095) +[2024-05-26 22:48:15,207] - INFO: Evaluation over. +[2024-05-26 22:48:35,554] - INFO: Epoch 3096/9999, Iter 309520: Loss = 0.00862143561244011, lr = [1.25e-05] +[2024-05-26 22:49:02,691] - INFO: Epoch 3096/9999, Iter 309560: Loss = 0.008417198434472084, lr = [1.25e-05] +[2024-05-26 22:49:31,148] - INFO: Epoch 3097/9999, Iter 309600: Loss = 0.018572909757494926, lr = [1.25e-05] +[2024-05-26 22:49:58,319] - INFO: Epoch 3097/9999, Iter 309640: Loss = 0.00913333985954523, lr = [1.25e-05] +[2024-05-26 22:50:25,534] - INFO: Epoch 3097/9999, Iter 309680: Loss = 0.006388956680893898, lr = [1.25e-05] +[2024-05-26 22:50:54,373] - INFO: Epoch 3098/9999, Iter 309720: Loss = 0.010297137312591076, lr = [1.25e-05] +[2024-05-26 22:51:21,579] - INFO: Epoch 3098/9999, Iter 309760: Loss = 0.01088561862707138, lr = [1.25e-05] +[2024-05-26 22:51:50,226] - INFO: Epoch 3099/9999, Iter 309800: Loss = 0.00989147461950779, lr = [1.25e-05] +[2024-05-26 22:52:17,548] - INFO: Epoch 3099/9999, Iter 309840: Loss = 0.019404765218496323, lr = [1.25e-05] +[2024-05-26 22:52:44,738] - INFO: Epoch 3099/9999, Iter 309880: Loss = 0.018453096970915794, lr = [1.25e-05] +[2024-05-26 22:53:13,554] - INFO: Epoch 3100/9999, Iter 309920: Loss = 0.009937579743564129, lr = [1.25e-05] +[2024-05-26 22:53:40,766] - INFO: Epoch 3100/9999, Iter 309960: Loss = 0.0094291465356946, lr = [1.25e-05] +[2024-05-26 22:54:07,650] - INFO: Evaluate at epoch 3100! +[2024-05-26 22:54:12,183] - INFO: Eval PSNR (max): 38.248 (2940) SSIM (max): 0.9618 (3030) +[2024-05-26 22:54:12,183] - INFO: Eval PSNR (current): 38.226 (3100) SSIM (current): 0.9617 (3100) +[2024-05-26 22:54:12,183] - INFO: Evaluation over. +[2024-05-26 22:54:19,148] - INFO: Epoch 3101/9999, Iter 310000: Loss = 0.009702938608825207, lr = [1.25e-05] +[2024-05-26 22:54:46,386] - INFO: Epoch 3101/9999, Iter 310040: Loss = 0.012887281365692616, lr = [1.25e-05] +[2024-05-26 22:55:13,518] - INFO: Epoch 3101/9999, Iter 310080: Loss = 0.007559566758573055, lr = [1.25e-05] +[2024-05-26 22:55:42,246] - INFO: Epoch 3102/9999, Iter 310120: Loss = 0.012222190387547016, lr = [1.25e-05] +[2024-05-26 22:56:09,483] - INFO: Epoch 3102/9999, Iter 310160: Loss = 0.00813972670584917, lr = [1.25e-05] +[2024-05-26 22:56:37,909] - INFO: Epoch 3103/9999, Iter 310200: Loss = 0.011407705023884773, lr = [1.25e-05] +[2024-05-26 22:57:05,246] - INFO: Epoch 3103/9999, Iter 310240: Loss = 0.021970506757497787, lr = [1.25e-05] +[2024-05-26 22:57:32,426] - INFO: Epoch 3103/9999, Iter 310280: Loss = 0.008178562857210636, lr = [1.25e-05] +[2024-05-26 22:58:01,111] - INFO: Epoch 3104/9999, Iter 310320: Loss = 0.019500836730003357, lr = [1.25e-05] +[2024-05-26 22:58:28,390] - INFO: Epoch 3104/9999, Iter 310360: Loss = 0.00821274146437645, lr = [1.25e-05] +[2024-05-26 22:58:57,014] - INFO: Epoch 3105/9999, Iter 310400: Loss = 0.018827708438038826, lr = [1.25e-05] +[2024-05-26 22:59:24,334] - INFO: Epoch 3105/9999, Iter 310440: Loss = 0.01299038901925087, lr = [1.25e-05] +[2024-05-26 22:59:51,546] - INFO: Epoch 3105/9999, Iter 310480: Loss = 0.009300355799496174, lr = [1.25e-05] +[2024-05-26 23:00:04,853] - INFO: Evaluate at epoch 3105! +[2024-05-26 23:00:09,499] - INFO: Eval PSNR (max): 38.248 (2940) SSIM (max): 0.9618 (3030) +[2024-05-26 23:00:09,500] - INFO: Eval PSNR (current): 38.238 (3105) SSIM (current): 0.9617 (3105) +[2024-05-26 23:00:09,500] - INFO: Evaluation over. +[2024-05-26 23:00:29,915] - INFO: Epoch 3106/9999, Iter 310520: Loss = 0.007554089650511742, lr = [1.25e-05] +[2024-05-26 23:00:57,110] - INFO: Epoch 3106/9999, Iter 310560: Loss = 0.011759934946894646, lr = [1.25e-05] +[2024-05-26 23:01:25,550] - INFO: Epoch 3107/9999, Iter 310600: Loss = 0.013577960431575775, lr = [1.25e-05] +[2024-05-26 23:01:52,950] - INFO: Epoch 3107/9999, Iter 310640: Loss = 0.013061003759503365, lr = [1.25e-05] +[2024-05-26 23:02:20,154] - INFO: Epoch 3107/9999, Iter 310680: Loss = 0.01699194125831127, lr = [1.25e-05] +[2024-05-26 23:02:48,994] - INFO: Epoch 3108/9999, Iter 310720: Loss = 0.008255650289356709, lr = [1.25e-05] +[2024-05-26 23:03:16,148] - INFO: Epoch 3108/9999, Iter 310760: Loss = 0.01374878641217947, lr = [1.25e-05] +[2024-05-26 23:03:44,572] - INFO: Epoch 3109/9999, Iter 310800: Loss = 0.017610952258110046, lr = [1.25e-05] +[2024-05-26 23:04:11,955] - INFO: Epoch 3109/9999, Iter 310840: Loss = 0.0064582303166389465, lr = [1.25e-05] +[2024-05-26 23:04:39,158] - INFO: Epoch 3109/9999, Iter 310880: Loss = 0.015192960388958454, lr = [1.25e-05] +[2024-05-26 23:05:07,878] - INFO: Epoch 3110/9999, Iter 310920: Loss = 0.011676453053951263, lr = [1.25e-05] +[2024-05-26 23:05:35,145] - INFO: Epoch 3110/9999, Iter 310960: Loss = 0.007489279843866825, lr = [1.25e-05] +[2024-05-26 23:06:02,071] - INFO: Evaluate at epoch 3110! +[2024-05-26 23:06:06,698] - INFO: Eval PSNR (max): 38.248 (2940) SSIM (max): 0.9618 (3030) +[2024-05-26 23:06:06,698] - INFO: Eval PSNR (current): 38.247 (3110) SSIM (current): 0.9617 (3110) +[2024-05-26 23:06:06,698] - INFO: Evaluation over. +[2024-05-26 23:06:13,552] - INFO: Epoch 3111/9999, Iter 311000: Loss = 0.01128100510686636, lr = [1.25e-05] +[2024-05-26 23:06:40,830] - INFO: Epoch 3111/9999, Iter 311040: Loss = 0.013101590797305107, lr = [1.25e-05] +[2024-05-26 23:07:08,014] - INFO: Epoch 3111/9999, Iter 311080: Loss = 0.01215165015310049, lr = [1.25e-05] +[2024-05-26 23:07:36,907] - INFO: Epoch 3112/9999, Iter 311120: Loss = 0.00709324236959219, lr = [1.25e-05] +[2024-05-26 23:08:04,147] - INFO: Epoch 3112/9999, Iter 311160: Loss = 0.017411086708307266, lr = [1.25e-05] +[2024-05-26 23:08:32,793] - INFO: Epoch 3113/9999, Iter 311200: Loss = 0.017719287425279617, lr = [1.25e-05] +[2024-05-26 23:09:00,058] - INFO: Epoch 3113/9999, Iter 311240: Loss = 0.013710898347198963, lr = [1.25e-05] +[2024-05-26 23:09:27,240] - INFO: Epoch 3113/9999, Iter 311280: Loss = 0.01760939694941044, lr = [1.25e-05] +[2024-05-26 23:09:55,906] - INFO: Epoch 3114/9999, Iter 311320: Loss = 0.009589619934558868, lr = [1.25e-05] +[2024-05-26 23:10:23,054] - INFO: Epoch 3114/9999, Iter 311360: Loss = 0.01585126295685768, lr = [1.25e-05] +[2024-05-26 23:10:51,661] - INFO: Epoch 3115/9999, Iter 311400: Loss = 0.01896544173359871, lr = [1.25e-05] +[2024-05-26 23:11:19,029] - INFO: Epoch 3115/9999, Iter 311440: Loss = 0.011798935942351818, lr = [1.25e-05] +[2024-05-26 23:11:46,228] - INFO: Epoch 3115/9999, Iter 311480: Loss = 0.008229436352849007, lr = [1.25e-05] +[2024-05-26 23:11:59,551] - INFO: Evaluate at epoch 3115! +[2024-05-26 23:12:09,310] - INFO: Eval PSNR (max): 38.253 (3115) SSIM (max): 0.9618 (3030) +[2024-05-26 23:12:09,310] - INFO: Eval PSNR (current): 38.253 (3115) SSIM (current): 0.9617 (3115) +[2024-05-26 23:12:09,311] - INFO: Evaluation over. +[2024-05-26 23:12:29,660] - INFO: Epoch 3116/9999, Iter 311520: Loss = 0.0109331626445055, lr = [1.25e-05] +[2024-05-26 23:12:56,870] - INFO: Epoch 3116/9999, Iter 311560: Loss = 0.009080396965146065, lr = [1.25e-05] +[2024-05-26 23:13:25,159] - INFO: Epoch 3117/9999, Iter 311600: Loss = 0.015995826572179794, lr = [1.25e-05] +[2024-05-26 23:13:52,636] - INFO: Epoch 3117/9999, Iter 311640: Loss = 0.011500232852995396, lr = [1.25e-05] +[2024-05-26 23:14:19,779] - INFO: Epoch 3117/9999, Iter 311680: Loss = 0.01375584490597248, lr = [1.25e-05] +[2024-05-26 23:14:48,547] - INFO: Epoch 3118/9999, Iter 311720: Loss = 0.020127831026911736, lr = [1.25e-05] +[2024-05-26 23:15:15,690] - INFO: Epoch 3118/9999, Iter 311760: Loss = 0.009497291408479214, lr = [1.25e-05] +[2024-05-26 23:15:44,436] - INFO: Epoch 3119/9999, Iter 311800: Loss = 0.021860431879758835, lr = [1.25e-05] +[2024-05-26 23:16:11,802] - INFO: Epoch 3119/9999, Iter 311840: Loss = 0.01815354824066162, lr = [1.25e-05] +[2024-05-26 23:16:38,954] - INFO: Epoch 3119/9999, Iter 311880: Loss = 0.011420944705605507, lr = [1.25e-05] +[2024-05-26 23:17:07,684] - INFO: Epoch 3120/9999, Iter 311920: Loss = 0.014354485087096691, lr = [1.25e-05] +[2024-05-26 23:17:34,948] - INFO: Epoch 3120/9999, Iter 311960: Loss = 0.008462038822472095, lr = [1.25e-05] +[2024-05-26 23:18:01,855] - INFO: Evaluate at epoch 3120! +[2024-05-26 23:18:06,404] - INFO: Eval PSNR (max): 38.253 (3115) SSIM (max): 0.9618 (3030) +[2024-05-26 23:18:06,405] - INFO: Eval PSNR (current): 38.244 (3120) SSIM (current): 0.9617 (3120) +[2024-05-26 23:18:06,405] - INFO: Evaluation over. +[2024-05-26 23:18:13,264] - INFO: Epoch 3121/9999, Iter 312000: Loss = 0.008840955793857574, lr = [1.25e-05] +[2024-05-26 23:18:40,567] - INFO: Epoch 3121/9999, Iter 312040: Loss = 0.013291750103235245, lr = [1.25e-05] +[2024-05-26 23:19:07,766] - INFO: Epoch 3121/9999, Iter 312080: Loss = 0.02184300497174263, lr = [1.25e-05] +[2024-05-26 23:19:36,362] - INFO: Epoch 3122/9999, Iter 312120: Loss = 0.006797384936362505, lr = [1.25e-05] +[2024-05-26 23:20:03,591] - INFO: Epoch 3122/9999, Iter 312160: Loss = 0.017320385202765465, lr = [1.25e-05] +[2024-05-26 23:20:32,152] - INFO: Epoch 3123/9999, Iter 312200: Loss = 0.013428824953734875, lr = [1.25e-05] +[2024-05-26 23:20:59,459] - INFO: Epoch 3123/9999, Iter 312240: Loss = 0.010755546391010284, lr = [1.25e-05] +[2024-05-26 23:21:26,721] - INFO: Epoch 3123/9999, Iter 312280: Loss = 0.012859763577580452, lr = [1.25e-05] +[2024-05-26 23:21:55,443] - INFO: Epoch 3124/9999, Iter 312320: Loss = 0.008973323740065098, lr = [1.25e-05] +[2024-05-26 23:22:22,595] - INFO: Epoch 3124/9999, Iter 312360: Loss = 0.02454782836139202, lr = [1.25e-05] +[2024-05-26 23:22:51,261] - INFO: Epoch 3125/9999, Iter 312400: Loss = 0.012989080511033535, lr = [1.25e-05] +[2024-05-26 23:23:18,531] - INFO: Epoch 3125/9999, Iter 312440: Loss = 0.011791604571044445, lr = [1.25e-05] +[2024-05-26 23:23:45,759] - INFO: Epoch 3125/9999, Iter 312480: Loss = 0.01688864268362522, lr = [1.25e-05] +[2024-05-26 23:23:59,060] - INFO: Evaluate at epoch 3125! +[2024-05-26 23:24:03,713] - INFO: Eval PSNR (max): 38.253 (3115) SSIM (max): 0.9618 (3030) +[2024-05-26 23:24:03,714] - INFO: Eval PSNR (current): 38.235 (3125) SSIM (current): 0.9617 (3125) +[2024-05-26 23:24:03,714] - INFO: Evaluation over. +[2024-05-26 23:24:24,203] - INFO: Epoch 3126/9999, Iter 312520: Loss = 0.012680627405643463, lr = [1.25e-05] +[2024-05-26 23:24:51,398] - INFO: Epoch 3126/9999, Iter 312560: Loss = 0.006270259618759155, lr = [1.25e-05] +[2024-05-26 23:25:19,982] - INFO: Epoch 3127/9999, Iter 312600: Loss = 0.010424410924315453, lr = [1.25e-05] +[2024-05-26 23:25:47,310] - INFO: Epoch 3127/9999, Iter 312640: Loss = 0.008850016631186008, lr = [1.25e-05] +[2024-05-26 23:26:14,523] - INFO: Epoch 3127/9999, Iter 312680: Loss = 0.013250971212983131, lr = [1.25e-05] +[2024-05-26 23:26:43,301] - INFO: Epoch 3128/9999, Iter 312720: Loss = 0.010779691860079765, lr = [1.25e-05] +[2024-05-26 23:27:10,510] - INFO: Epoch 3128/9999, Iter 312760: Loss = 0.008841002359986305, lr = [1.25e-05] +[2024-05-26 23:27:39,077] - INFO: Epoch 3129/9999, Iter 312800: Loss = 0.007537910249084234, lr = [1.25e-05] +[2024-05-26 23:28:06,344] - INFO: Epoch 3129/9999, Iter 312840: Loss = 0.012340794317424297, lr = [1.25e-05] +[2024-05-26 23:28:33,594] - INFO: Epoch 3129/9999, Iter 312880: Loss = 0.011231625452637672, lr = [1.25e-05] +[2024-05-26 23:29:02,351] - INFO: Epoch 3130/9999, Iter 312920: Loss = 0.01703556440770626, lr = [1.25e-05] +[2024-05-26 23:29:29,547] - INFO: Epoch 3130/9999, Iter 312960: Loss = 0.011053049936890602, lr = [1.25e-05] +[2024-05-26 23:29:56,450] - INFO: Evaluate at epoch 3130! +[2024-05-26 23:30:01,061] - INFO: Eval PSNR (max): 38.253 (3115) SSIM (max): 0.9618 (3030) +[2024-05-26 23:30:01,062] - INFO: Eval PSNR (current): 38.242 (3130) SSIM (current): 0.9617 (3130) +[2024-05-26 23:30:01,062] - INFO: Evaluation over. +[2024-05-26 23:30:08,224] - INFO: Epoch 3131/9999, Iter 313000: Loss = 0.011828393675386906, lr = [1.25e-05] +[2024-05-26 23:30:35,427] - INFO: Epoch 3131/9999, Iter 313040: Loss = 0.01126030646264553, lr = [1.25e-05] +[2024-05-26 23:31:02,618] - INFO: Epoch 3131/9999, Iter 313080: Loss = 0.007800985127687454, lr = [1.25e-05] +[2024-05-26 23:31:31,524] - INFO: Epoch 3132/9999, Iter 313120: Loss = 0.01003959495574236, lr = [1.25e-05] +[2024-05-26 23:31:58,687] - INFO: Epoch 3132/9999, Iter 313160: Loss = 0.01052453275769949, lr = [1.25e-05] +[2024-05-26 23:32:34,851] - INFO: Epoch 3133/9999, Iter 313200: Loss = 0.009603096172213554, lr = [1.25e-05] +[2024-05-26 23:33:04,266] - INFO: Epoch 3133/9999, Iter 313240: Loss = 0.00953697506338358, lr = [1.25e-05] +[2024-05-26 23:33:32,442] - INFO: Epoch 3133/9999, Iter 313280: Loss = 0.0070792436599731445, lr = [1.25e-05] +[2024-05-26 23:34:01,422] - INFO: Epoch 3134/9999, Iter 313320: Loss = 0.017311757430434227, lr = [1.25e-05] +[2024-05-26 23:34:29,546] - INFO: Epoch 3134/9999, Iter 313360: Loss = 0.008952109143137932, lr = [1.25e-05] +[2024-05-26 23:35:07,252] - INFO: Epoch 3135/9999, Iter 313400: Loss = 0.01038950216025114, lr = [1.25e-05] +[2024-05-26 23:35:34,571] - INFO: Epoch 3135/9999, Iter 313440: Loss = 0.009317831136286259, lr = [1.25e-05] +[2024-05-26 23:36:03,749] - INFO: Epoch 3135/9999, Iter 313480: Loss = 0.01282038539648056, lr = [1.25e-05] +[2024-05-26 23:36:17,099] - INFO: Evaluate at epoch 3135! +[2024-05-26 23:36:21,765] - INFO: Eval PSNR (max): 38.253 (3115) SSIM (max): 0.9618 (3030) +[2024-05-26 23:36:21,765] - INFO: Eval PSNR (current): 38.238 (3135) SSIM (current): 0.9617 (3135) +[2024-05-26 23:36:21,765] - INFO: Evaluation over. +[2024-05-26 23:36:46,794] - INFO: Epoch 3136/9999, Iter 313520: Loss = 0.0200565904378891, lr = [1.25e-05] +[2024-05-26 23:37:14,006] - INFO: Epoch 3136/9999, Iter 313560: Loss = 0.010947099886834621, lr = [1.25e-05] +[2024-05-26 23:37:45,145] - INFO: Epoch 3137/9999, Iter 313600: Loss = 0.008044609799981117, lr = [1.25e-05] +[2024-05-26 23:38:12,483] - INFO: Epoch 3137/9999, Iter 313640: Loss = 0.00998014397919178, lr = [1.25e-05] +[2024-05-26 23:38:40,727] - INFO: Epoch 3137/9999, Iter 313680: Loss = 0.008918093517422676, lr = [1.25e-05] +[2024-05-26 23:39:09,635] - INFO: Epoch 3138/9999, Iter 313720: Loss = 0.007566472981125116, lr = [1.25e-05] +[2024-05-26 23:39:37,280] - INFO: Epoch 3138/9999, Iter 313760: Loss = 0.0102607486769557, lr = [1.25e-05] +[2024-05-26 23:40:06,451] - INFO: Epoch 3139/9999, Iter 313800: Loss = 0.0030554758850485086, lr = [1.25e-05] +[2024-05-26 23:40:33,670] - INFO: Epoch 3139/9999, Iter 313840: Loss = 0.01661818102002144, lr = [1.25e-05] +[2024-05-26 23:41:00,891] - INFO: Epoch 3139/9999, Iter 313880: Loss = 0.006879399064928293, lr = [1.25e-05] +[2024-05-26 23:41:29,571] - INFO: Epoch 3140/9999, Iter 313920: Loss = 0.013433383777737617, lr = [1.25e-05] +[2024-05-26 23:41:56,858] - INFO: Epoch 3140/9999, Iter 313960: Loss = 0.016775382682681084, lr = [1.25e-05] +[2024-05-26 23:42:23,745] - INFO: Evaluate at epoch 3140! +[2024-05-26 23:42:28,317] - INFO: Eval PSNR (max): 38.253 (3115) SSIM (max): 0.9618 (3030) +[2024-05-26 23:42:28,317] - INFO: Eval PSNR (current): 38.243 (3140) SSIM (current): 0.9617 (3140) +[2024-05-26 23:42:28,317] - INFO: Evaluation over. +[2024-05-26 23:42:35,258] - INFO: Epoch 3141/9999, Iter 314000: Loss = 0.006985551677644253, lr = [1.25e-05] +[2024-05-26 23:43:02,603] - INFO: Epoch 3141/9999, Iter 314040: Loss = 0.01222912222146988, lr = [1.25e-05] +[2024-05-26 23:43:29,774] - INFO: Epoch 3141/9999, Iter 314080: Loss = 0.00887413788586855, lr = [1.25e-05] +[2024-05-26 23:43:58,264] - INFO: Epoch 3142/9999, Iter 314120: Loss = 0.010340777225792408, lr = [1.25e-05] +[2024-05-26 23:44:25,478] - INFO: Epoch 3142/9999, Iter 314160: Loss = 0.019515881314873695, lr = [1.25e-05] +[2024-05-26 23:44:53,996] - INFO: Epoch 3143/9999, Iter 314200: Loss = 0.012040221132338047, lr = [1.25e-05] +[2024-05-26 23:45:21,207] - INFO: Epoch 3143/9999, Iter 314240: Loss = 0.007215165998786688, lr = [1.25e-05] +[2024-05-26 23:45:48,395] - INFO: Epoch 3143/9999, Iter 314280: Loss = 0.008355735801160336, lr = [1.25e-05] +[2024-05-26 23:46:17,017] - INFO: Epoch 3144/9999, Iter 314320: Loss = 0.011154337786138058, lr = [1.25e-05] +[2024-05-26 23:46:44,234] - INFO: Epoch 3144/9999, Iter 314360: Loss = 0.014430041424930096, lr = [1.25e-05] +[2024-05-26 23:47:12,808] - INFO: Epoch 3145/9999, Iter 314400: Loss = 0.012160612270236015, lr = [1.25e-05] +[2024-05-26 23:47:40,120] - INFO: Epoch 3145/9999, Iter 314440: Loss = 0.009140290319919586, lr = [1.25e-05] +[2024-05-26 23:48:07,336] - INFO: Epoch 3145/9999, Iter 314480: Loss = 0.007482158951461315, lr = [1.25e-05] +[2024-05-26 23:48:20,622] - INFO: Evaluate at epoch 3145! +[2024-05-26 23:48:25,166] - INFO: Eval PSNR (max): 38.253 (3115) SSIM (max): 0.9618 (3030) +[2024-05-26 23:48:25,166] - INFO: Eval PSNR (current): 38.238 (3145) SSIM (current): 0.9617 (3145) +[2024-05-26 23:48:25,166] - INFO: Evaluation over. +[2024-05-26 23:48:45,774] - INFO: Epoch 3146/9999, Iter 314520: Loss = 0.008213244378566742, lr = [1.25e-05] +[2024-05-26 23:49:13,018] - INFO: Epoch 3146/9999, Iter 314560: Loss = 0.016450637951493263, lr = [1.25e-05] +[2024-05-26 23:49:41,620] - INFO: Epoch 3147/9999, Iter 314600: Loss = 0.014042061753571033, lr = [1.25e-05] +[2024-05-26 23:50:08,886] - INFO: Epoch 3147/9999, Iter 314640: Loss = 0.010305684059858322, lr = [1.25e-05] +[2024-05-26 23:50:36,047] - INFO: Epoch 3147/9999, Iter 314680: Loss = 0.012010854668915272, lr = [1.25e-05] +[2024-05-26 23:51:04,730] - INFO: Epoch 3148/9999, Iter 314720: Loss = 0.015644419938325882, lr = [1.25e-05] +[2024-05-26 23:51:31,906] - INFO: Epoch 3148/9999, Iter 314760: Loss = 0.012788957916200161, lr = [1.25e-05] +[2024-05-26 23:52:00,388] - INFO: Epoch 3149/9999, Iter 314800: Loss = 0.014168590307235718, lr = [1.25e-05] +[2024-05-26 23:52:27,630] - INFO: Epoch 3149/9999, Iter 314840: Loss = 0.008481933735311031, lr = [1.25e-05] +[2024-05-26 23:52:54,848] - INFO: Epoch 3149/9999, Iter 314880: Loss = 0.011832678690552711, lr = [1.25e-05] +[2024-05-26 23:53:23,405] - INFO: Epoch 3150/9999, Iter 314920: Loss = 0.018701456487178802, lr = [1.25e-05] +[2024-05-26 23:53:50,543] - INFO: Epoch 3150/9999, Iter 314960: Loss = 0.014704935252666473, lr = [1.25e-05] +[2024-05-26 23:54:17,478] - INFO: Evaluate at epoch 3150! +[2024-05-26 23:54:22,159] - INFO: Eval PSNR (max): 38.253 (3115) SSIM (max): 0.9618 (3030) +[2024-05-26 23:54:22,159] - INFO: Eval PSNR (current): 38.244 (3150) SSIM (current): 0.9617 (3150) +[2024-05-26 23:54:22,159] - INFO: Evaluation over. +[2024-05-26 23:54:29,097] - INFO: Epoch 3151/9999, Iter 315000: Loss = 0.027590332552790642, lr = [1.25e-05] +[2024-05-26 23:54:56,331] - INFO: Epoch 3151/9999, Iter 315040: Loss = 0.017029600217938423, lr = [1.25e-05] +[2024-05-26 23:55:23,523] - INFO: Epoch 3151/9999, Iter 315080: Loss = 0.009904058650135994, lr = [1.25e-05] +[2024-05-26 23:55:52,134] - INFO: Epoch 3152/9999, Iter 315120: Loss = 0.016658982262015343, lr = [1.25e-05] +[2024-05-26 23:56:19,390] - INFO: Epoch 3152/9999, Iter 315160: Loss = 0.00889876950532198, lr = [1.25e-05] +[2024-05-26 23:56:47,880] - INFO: Epoch 3153/9999, Iter 315200: Loss = 0.009059046395123005, lr = [1.25e-05] +[2024-05-26 23:57:15,192] - INFO: Epoch 3153/9999, Iter 315240: Loss = 0.009626048617064953, lr = [1.25e-05] +[2024-05-26 23:57:42,376] - INFO: Epoch 3153/9999, Iter 315280: Loss = 0.017866868525743484, lr = [1.25e-05] +[2024-05-26 23:58:11,047] - INFO: Epoch 3154/9999, Iter 315320: Loss = 0.013434715569019318, lr = [1.25e-05] +[2024-05-26 23:58:38,220] - INFO: Epoch 3154/9999, Iter 315360: Loss = 0.005944647826254368, lr = [1.25e-05] +[2024-05-26 23:59:06,966] - INFO: Epoch 3155/9999, Iter 315400: Loss = 0.00973060168325901, lr = [1.25e-05] +[2024-05-26 23:59:34,262] - INFO: Epoch 3155/9999, Iter 315440: Loss = 0.016694404184818268, lr = [1.25e-05] +[2024-05-27 00:00:01,421] - INFO: Epoch 3155/9999, Iter 315480: Loss = 0.010430888272821903, lr = [1.25e-05] +[2024-05-27 00:00:14,704] - INFO: Evaluate at epoch 3155! +[2024-05-27 00:00:19,480] - INFO: Eval PSNR (max): 38.253 (3115) SSIM (max): 0.9618 (3030) +[2024-05-27 00:00:19,480] - INFO: Eval PSNR (current): 38.231 (3155) SSIM (current): 0.9617 (3155) +[2024-05-27 00:00:19,480] - INFO: Evaluation over. +[2024-05-27 00:00:40,118] - INFO: Epoch 3156/9999, Iter 315520: Loss = 0.005894490052014589, lr = [1.25e-05] +[2024-05-27 00:01:07,355] - INFO: Epoch 3156/9999, Iter 315560: Loss = 0.012562590651214123, lr = [1.25e-05] +[2024-05-27 00:01:36,037] - INFO: Epoch 3157/9999, Iter 315600: Loss = 0.009606034494936466, lr = [1.25e-05] +[2024-05-27 00:02:03,286] - INFO: Epoch 3157/9999, Iter 315640: Loss = 0.00929233804345131, lr = [1.25e-05] +[2024-05-27 00:02:30,491] - INFO: Epoch 3157/9999, Iter 315680: Loss = 0.01542851235717535, lr = [1.25e-05] +[2024-05-27 00:02:59,036] - INFO: Epoch 3158/9999, Iter 315720: Loss = 0.013994108885526657, lr = [1.25e-05] +[2024-05-27 00:03:26,229] - INFO: Epoch 3158/9999, Iter 315760: Loss = 0.007305804640054703, lr = [1.25e-05] +[2024-05-27 00:03:54,929] - INFO: Epoch 3159/9999, Iter 315800: Loss = 0.017813587561249733, lr = [1.25e-05] +[2024-05-27 00:04:22,197] - INFO: Epoch 3159/9999, Iter 315840: Loss = 0.007845140993595123, lr = [1.25e-05] +[2024-05-27 00:04:49,413] - INFO: Epoch 3159/9999, Iter 315880: Loss = 0.011765609495341778, lr = [1.25e-05] +[2024-05-27 00:05:18,021] - INFO: Epoch 3160/9999, Iter 315920: Loss = 0.009726743213832378, lr = [1.25e-05] +[2024-05-27 00:05:45,214] - INFO: Epoch 3160/9999, Iter 315960: Loss = 0.009151728823781013, lr = [1.25e-05] +[2024-05-27 00:06:12,154] - INFO: Evaluate at epoch 3160! +[2024-05-27 00:06:16,709] - INFO: Eval PSNR (max): 38.253 (3115) SSIM (max): 0.9618 (3030) +[2024-05-27 00:06:16,709] - INFO: Eval PSNR (current): 38.225 (3160) SSIM (current): 0.9617 (3160) +[2024-05-27 00:06:16,709] - INFO: Evaluation over. +[2024-05-27 00:06:23,660] - INFO: Epoch 3161/9999, Iter 316000: Loss = 0.006673251744359732, lr = [1.25e-05] +[2024-05-27 00:06:50,977] - INFO: Epoch 3161/9999, Iter 316040: Loss = 0.008573023602366447, lr = [1.25e-05] +[2024-05-27 00:07:18,223] - INFO: Epoch 3161/9999, Iter 316080: Loss = 0.010919863358139992, lr = [1.25e-05] +[2024-05-27 00:07:47,082] - INFO: Epoch 3162/9999, Iter 316120: Loss = 0.013719574548304081, lr = [1.25e-05] +[2024-05-27 00:08:14,310] - INFO: Epoch 3162/9999, Iter 316160: Loss = 0.016293788328766823, lr = [1.25e-05] +[2024-05-27 00:08:42,824] - INFO: Epoch 3163/9999, Iter 316200: Loss = 0.012636186555027962, lr = [1.25e-05] +[2024-05-27 00:09:10,158] - INFO: Epoch 3163/9999, Iter 316240: Loss = 0.013107238337397575, lr = [1.25e-05] +[2024-05-27 00:09:37,358] - INFO: Epoch 3163/9999, Iter 316280: Loss = 0.014789313077926636, lr = [1.25e-05] +[2024-05-27 00:10:05,841] - INFO: Epoch 3164/9999, Iter 316320: Loss = 0.006850332021713257, lr = [1.25e-05] +[2024-05-27 00:10:33,026] - INFO: Epoch 3164/9999, Iter 316360: Loss = 0.011147063225507736, lr = [1.25e-05] +[2024-05-27 00:11:01,508] - INFO: Epoch 3165/9999, Iter 316400: Loss = 0.006411434151232243, lr = [1.25e-05] +[2024-05-27 00:11:28,794] - INFO: Epoch 3165/9999, Iter 316440: Loss = 0.0073829046450555325, lr = [1.25e-05] +[2024-05-27 00:11:56,062] - INFO: Epoch 3165/9999, Iter 316480: Loss = 0.0058732288889586926, lr = [1.25e-05] +[2024-05-27 00:12:09,358] - INFO: Evaluate at epoch 3165! +[2024-05-27 00:12:13,933] - INFO: Eval PSNR (max): 38.253 (3115) SSIM (max): 0.9618 (3030) +[2024-05-27 00:12:13,933] - INFO: Eval PSNR (current): 38.220 (3165) SSIM (current): 0.9617 (3165) +[2024-05-27 00:12:13,933] - INFO: Evaluation over. +[2024-05-27 00:12:34,293] - INFO: Epoch 3166/9999, Iter 316520: Loss = 0.013265229761600494, lr = [1.25e-05] +[2024-05-27 00:13:01,450] - INFO: Epoch 3166/9999, Iter 316560: Loss = 0.015224887058138847, lr = [1.25e-05] +[2024-05-27 00:13:30,165] - INFO: Epoch 3167/9999, Iter 316600: Loss = 0.008541835471987724, lr = [1.25e-05] +[2024-05-27 00:13:57,466] - INFO: Epoch 3167/9999, Iter 316640: Loss = 0.005742478650063276, lr = [1.25e-05] +[2024-05-27 00:14:24,667] - INFO: Epoch 3167/9999, Iter 316680: Loss = 0.01852439157664776, lr = [1.25e-05] +[2024-05-27 00:14:53,474] - INFO: Epoch 3168/9999, Iter 316720: Loss = 0.02225901558995247, lr = [1.25e-05] +[2024-05-27 00:15:20,634] - INFO: Epoch 3168/9999, Iter 316760: Loss = 0.013537799939513206, lr = [1.25e-05] +[2024-05-27 00:15:49,312] - INFO: Epoch 3169/9999, Iter 316800: Loss = 0.010892144404351711, lr = [1.25e-05] +[2024-05-27 00:16:16,674] - INFO: Epoch 3169/9999, Iter 316840: Loss = 0.006453404668718576, lr = [1.25e-05] +[2024-05-27 00:16:43,858] - INFO: Epoch 3169/9999, Iter 316880: Loss = 0.01108093187212944, lr = [1.25e-05] +[2024-05-27 00:17:12,486] - INFO: Epoch 3170/9999, Iter 316920: Loss = 0.018880760297179222, lr = [1.25e-05] +[2024-05-27 00:17:39,754] - INFO: Epoch 3170/9999, Iter 316960: Loss = 0.007166428957134485, lr = [1.25e-05] +[2024-05-27 00:18:06,633] - INFO: Evaluate at epoch 3170! +[2024-05-27 00:18:11,309] - INFO: Eval PSNR (max): 38.253 (3115) SSIM (max): 0.9618 (3030) +[2024-05-27 00:18:11,310] - INFO: Eval PSNR (current): 38.246 (3170) SSIM (current): 0.9617 (3170) +[2024-05-27 00:18:11,310] - INFO: Evaluation over. +[2024-05-27 00:18:18,218] - INFO: Epoch 3171/9999, Iter 317000: Loss = 0.008344793692231178, lr = [1.25e-05] +[2024-05-27 00:18:45,550] - INFO: Epoch 3171/9999, Iter 317040: Loss = 0.012493412010371685, lr = [1.25e-05] +[2024-05-27 00:19:12,727] - INFO: Epoch 3171/9999, Iter 317080: Loss = 0.016985472291707993, lr = [1.25e-05] +[2024-05-27 00:19:41,290] - INFO: Epoch 3172/9999, Iter 317120: Loss = 0.012333122082054615, lr = [1.25e-05] +[2024-05-27 00:20:08,490] - INFO: Epoch 3172/9999, Iter 317160: Loss = 0.015585596673190594, lr = [1.25e-05] +[2024-05-27 00:20:37,132] - INFO: Epoch 3173/9999, Iter 317200: Loss = 0.007485613692551851, lr = [1.25e-05] +[2024-05-27 00:21:04,467] - INFO: Epoch 3173/9999, Iter 317240: Loss = 0.008202172815799713, lr = [1.25e-05] +[2024-05-27 00:21:31,654] - INFO: Epoch 3173/9999, Iter 317280: Loss = 0.013116319663822651, lr = [1.25e-05] +[2024-05-27 00:22:00,398] - INFO: Epoch 3174/9999, Iter 317320: Loss = 0.020756959915161133, lr = [1.25e-05] +[2024-05-27 00:22:27,538] - INFO: Epoch 3174/9999, Iter 317360: Loss = 0.010779045522212982, lr = [1.25e-05] +[2024-05-27 00:22:56,069] - INFO: Epoch 3175/9999, Iter 317400: Loss = 0.012344579212367535, lr = [1.25e-05] +[2024-05-27 00:23:23,311] - INFO: Epoch 3175/9999, Iter 317440: Loss = 0.026976408436894417, lr = [1.25e-05] +[2024-05-27 00:23:50,516] - INFO: Epoch 3175/9999, Iter 317480: Loss = 0.010991414077579975, lr = [1.25e-05] +[2024-05-27 00:24:03,807] - INFO: Evaluate at epoch 3175! +[2024-05-27 00:24:08,484] - INFO: Eval PSNR (max): 38.253 (3115) SSIM (max): 0.9618 (3030) +[2024-05-27 00:24:08,485] - INFO: Eval PSNR (current): 38.244 (3175) SSIM (current): 0.9617 (3175) +[2024-05-27 00:24:08,485] - INFO: Evaluation over. +[2024-05-27 00:24:29,186] - INFO: Epoch 3176/9999, Iter 317520: Loss = 0.009670114144682884, lr = [1.25e-05] +[2024-05-27 00:24:56,334] - INFO: Epoch 3176/9999, Iter 317560: Loss = 0.017431652173399925, lr = [1.25e-05] +[2024-05-27 00:25:24,994] - INFO: Epoch 3177/9999, Iter 317600: Loss = 0.007383950985968113, lr = [1.25e-05] +[2024-05-27 00:25:52,274] - INFO: Epoch 3177/9999, Iter 317640: Loss = 0.007394710555672646, lr = [1.25e-05] +[2024-05-27 00:26:19,416] - INFO: Epoch 3177/9999, Iter 317680: Loss = 0.016926899552345276, lr = [1.25e-05] +[2024-05-27 00:26:48,089] - INFO: Epoch 3178/9999, Iter 317720: Loss = 0.012626301497220993, lr = [1.25e-05] +[2024-05-27 00:27:15,299] - INFO: Epoch 3178/9999, Iter 317760: Loss = 0.01768210157752037, lr = [1.25e-05] +[2024-05-27 00:27:43,913] - INFO: Epoch 3179/9999, Iter 317800: Loss = 0.01294210646301508, lr = [1.25e-05] +[2024-05-27 00:28:11,212] - INFO: Epoch 3179/9999, Iter 317840: Loss = 0.01104590855538845, lr = [1.25e-05] +[2024-05-27 00:28:38,451] - INFO: Epoch 3179/9999, Iter 317880: Loss = 0.01153416745364666, lr = [1.25e-05] +[2024-05-27 00:29:07,054] - INFO: Epoch 3180/9999, Iter 317920: Loss = 0.020746873691678047, lr = [1.25e-05] +[2024-05-27 00:29:34,212] - INFO: Epoch 3180/9999, Iter 317960: Loss = 0.018486976623535156, lr = [1.25e-05] +[2024-05-27 00:30:01,129] - INFO: Evaluate at epoch 3180! +[2024-05-27 00:30:05,749] - INFO: Eval PSNR (max): 38.253 (3115) SSIM (max): 0.9618 (3030) +[2024-05-27 00:30:05,749] - INFO: Eval PSNR (current): 38.244 (3180) SSIM (current): 0.9617 (3180) +[2024-05-27 00:30:05,749] - INFO: Evaluation over. +[2024-05-27 00:30:12,760] - INFO: Epoch 3181/9999, Iter 318000: Loss = 0.01093241572380066, lr = [1.25e-05] +[2024-05-27 00:30:39,978] - INFO: Epoch 3181/9999, Iter 318040: Loss = 0.00552348094061017, lr = [1.25e-05] +[2024-05-27 00:31:07,182] - INFO: Epoch 3181/9999, Iter 318080: Loss = 0.007176344282925129, lr = [1.25e-05] +[2024-05-27 00:31:35,919] - INFO: Epoch 3182/9999, Iter 318120: Loss = 0.012187734246253967, lr = [1.25e-05] +[2024-05-27 00:32:03,125] - INFO: Epoch 3182/9999, Iter 318160: Loss = 0.008386688306927681, lr = [1.25e-05] +[2024-05-27 00:32:31,776] - INFO: Epoch 3183/9999, Iter 318200: Loss = 0.014833247289061546, lr = [1.25e-05] +[2024-05-27 00:32:59,050] - INFO: Epoch 3183/9999, Iter 318240: Loss = 0.010418493300676346, lr = [1.25e-05] +[2024-05-27 00:33:26,238] - INFO: Epoch 3183/9999, Iter 318280: Loss = 0.01420546229928732, lr = [1.25e-05] +[2024-05-27 00:33:55,078] - INFO: Epoch 3184/9999, Iter 318320: Loss = 0.01244363933801651, lr = [1.25e-05] +[2024-05-27 00:34:22,294] - INFO: Epoch 3184/9999, Iter 318360: Loss = 0.011445445008575916, lr = [1.25e-05] +[2024-05-27 00:34:50,669] - INFO: Epoch 3185/9999, Iter 318400: Loss = 0.013792687095701694, lr = [1.25e-05] +[2024-05-27 00:35:17,998] - INFO: Epoch 3185/9999, Iter 318440: Loss = 0.0193046685308218, lr = [1.25e-05] +[2024-05-27 00:35:45,172] - INFO: Epoch 3185/9999, Iter 318480: Loss = 0.009088704362511635, lr = [1.25e-05] +[2024-05-27 00:35:58,480] - INFO: Evaluate at epoch 3185! +[2024-05-27 00:36:03,172] - INFO: Eval PSNR (max): 38.253 (3115) SSIM (max): 0.9618 (3030) +[2024-05-27 00:36:03,173] - INFO: Eval PSNR (current): 38.239 (3185) SSIM (current): 0.9617 (3185) +[2024-05-27 00:36:03,173] - INFO: Evaluation over. +[2024-05-27 00:36:23,428] - INFO: Epoch 3186/9999, Iter 318520: Loss = 0.013646349310874939, lr = [1.25e-05] +[2024-05-27 00:36:50,619] - INFO: Epoch 3186/9999, Iter 318560: Loss = 0.01066470704972744, lr = [1.25e-05] +[2024-05-27 00:37:19,157] - INFO: Epoch 3187/9999, Iter 318600: Loss = 0.014336680993437767, lr = [1.25e-05] +[2024-05-27 00:37:46,490] - INFO: Epoch 3187/9999, Iter 318640: Loss = 0.004708250053226948, lr = [1.25e-05] +[2024-05-27 00:38:13,680] - INFO: Epoch 3187/9999, Iter 318680: Loss = 0.013631145469844341, lr = [1.25e-05] +[2024-05-27 00:38:42,246] - INFO: Epoch 3188/9999, Iter 318720: Loss = 0.019181637093424797, lr = [1.25e-05] +[2024-05-27 00:39:09,545] - INFO: Epoch 3188/9999, Iter 318760: Loss = 0.008854587562382221, lr = [1.25e-05] +[2024-05-27 00:39:38,134] - INFO: Epoch 3189/9999, Iter 318800: Loss = 0.009327179752290249, lr = [1.25e-05] +[2024-05-27 00:40:05,406] - INFO: Epoch 3189/9999, Iter 318840: Loss = 0.007996824570000172, lr = [1.25e-05] +[2024-05-27 00:40:32,619] - INFO: Epoch 3189/9999, Iter 318880: Loss = 0.010485567152500153, lr = [1.25e-05] +[2024-05-27 00:41:01,298] - INFO: Epoch 3190/9999, Iter 318920: Loss = 0.01627158187329769, lr = [1.25e-05] +[2024-05-27 00:41:28,450] - INFO: Epoch 3190/9999, Iter 318960: Loss = 0.02053849585354328, lr = [1.25e-05] +[2024-05-27 00:41:55,419] - INFO: Evaluate at epoch 3190! +[2024-05-27 00:41:59,929] - INFO: Eval PSNR (max): 38.253 (3115) SSIM (max): 0.9618 (3030) +[2024-05-27 00:41:59,929] - INFO: Eval PSNR (current): 38.235 (3190) SSIM (current): 0.9617 (3190) +[2024-05-27 00:41:59,930] - INFO: Evaluation over. +[2024-05-27 00:42:06,895] - INFO: Epoch 3191/9999, Iter 319000: Loss = 0.008883972652256489, lr = [1.25e-05] +[2024-05-27 00:42:34,119] - INFO: Epoch 3191/9999, Iter 319040: Loss = 0.013627991080284119, lr = [1.25e-05] +[2024-05-27 00:43:01,395] - INFO: Epoch 3191/9999, Iter 319080: Loss = 0.010821644216775894, lr = [1.25e-05] +[2024-05-27 00:43:29,974] - INFO: Epoch 3192/9999, Iter 319120: Loss = 0.0042302487418055534, lr = [1.25e-05] +[2024-05-27 00:43:57,166] - INFO: Epoch 3192/9999, Iter 319160: Loss = 0.007869759574532509, lr = [1.25e-05] +[2024-05-27 00:44:25,766] - INFO: Epoch 3193/9999, Iter 319200: Loss = 0.005511609371751547, lr = [1.25e-05] +[2024-05-27 00:44:53,047] - INFO: Epoch 3193/9999, Iter 319240: Loss = 0.007132720202207565, lr = [1.25e-05] +[2024-05-27 00:45:20,242] - INFO: Epoch 3193/9999, Iter 319280: Loss = 0.007372013293206692, lr = [1.25e-05] +[2024-05-27 00:45:48,817] - INFO: Epoch 3194/9999, Iter 319320: Loss = 0.019457466900348663, lr = [1.25e-05] +[2024-05-27 00:46:16,019] - INFO: Epoch 3194/9999, Iter 319360: Loss = 0.007400700822472572, lr = [1.25e-05] +[2024-05-27 00:46:44,573] - INFO: Epoch 3195/9999, Iter 319400: Loss = 0.01437572855502367, lr = [1.25e-05] +[2024-05-27 00:47:11,866] - INFO: Epoch 3195/9999, Iter 319440: Loss = 0.010576235130429268, lr = [1.25e-05] +[2024-05-27 00:47:39,078] - INFO: Epoch 3195/9999, Iter 319480: Loss = 0.012074233964085579, lr = [1.25e-05] +[2024-05-27 00:47:52,352] - INFO: Evaluate at epoch 3195! +[2024-05-27 00:47:56,984] - INFO: Eval PSNR (max): 38.253 (3115) SSIM (max): 0.9618 (3030) +[2024-05-27 00:47:56,984] - INFO: Eval PSNR (current): 38.226 (3195) SSIM (current): 0.9617 (3195) +[2024-05-27 00:47:56,984] - INFO: Evaluation over. +[2024-05-27 00:48:17,687] - INFO: Epoch 3196/9999, Iter 319520: Loss = 0.008244997821748257, lr = [1.25e-05] +[2024-05-27 00:48:44,932] - INFO: Epoch 3196/9999, Iter 319560: Loss = 0.016058538109064102, lr = [1.25e-05] +[2024-05-27 00:49:13,478] - INFO: Epoch 3197/9999, Iter 319600: Loss = 0.0208522230386734, lr = [1.25e-05] +[2024-05-27 00:49:40,822] - INFO: Epoch 3197/9999, Iter 319640: Loss = 0.012831522151827812, lr = [1.25e-05] +[2024-05-27 00:50:08,009] - INFO: Epoch 3197/9999, Iter 319680: Loss = 0.008698991499841213, lr = [1.25e-05] +[2024-05-27 00:50:36,590] - INFO: Epoch 3198/9999, Iter 319720: Loss = 0.006474786438047886, lr = [1.25e-05] +[2024-05-27 00:51:03,814] - INFO: Epoch 3198/9999, Iter 319760: Loss = 0.014375169761478901, lr = [1.25e-05] +[2024-05-27 00:51:32,395] - INFO: Epoch 3199/9999, Iter 319800: Loss = 0.011823111213743687, lr = [1.25e-05] +[2024-05-27 00:51:59,670] - INFO: Epoch 3199/9999, Iter 319840: Loss = 0.00812775082886219, lr = [1.25e-05] +[2024-05-27 00:52:26,899] - INFO: Epoch 3199/9999, Iter 319880: Loss = 0.009583142586052418, lr = [1.25e-05] +[2024-05-27 00:52:55,957] - INFO: Epoch 3200/9999, Iter 319920: Loss = 0.013113558292388916, lr = [1.25e-05] +[2024-05-27 00:53:23,166] - INFO: Epoch 3200/9999, Iter 319960: Loss = 0.012728346511721611, lr = [1.25e-05] +[2024-05-27 00:53:50,043] - INFO: Evaluate at epoch 3200! +[2024-05-27 00:53:54,912] - INFO: Eval PSNR (max): 38.253 (3115) SSIM (max): 0.9618 (3030) +[2024-05-27 00:53:54,913] - INFO: Eval PSNR (current): 38.244 (3200) SSIM (current): 0.9617 (3200) +[2024-05-27 00:53:54,913] - INFO: Evaluation over. +[2024-05-27 00:54:01,704] - INFO: Epoch 3201/9999, Iter 320000: Loss = 0.008666981011629105, lr = [1.25e-05] +[2024-05-27 00:54:29,075] - INFO: Epoch 3201/9999, Iter 320040: Loss = 0.009308596141636372, lr = [1.25e-05] +[2024-05-27 00:54:56,267] - INFO: Epoch 3201/9999, Iter 320080: Loss = 0.02291325479745865, lr = [1.25e-05] +[2024-05-27 00:55:25,098] - INFO: Epoch 3202/9999, Iter 320120: Loss = 0.00738297076895833, lr = [1.25e-05] +[2024-05-27 00:55:52,314] - INFO: Epoch 3202/9999, Iter 320160: Loss = 0.012998904101550579, lr = [1.25e-05] +[2024-05-27 00:56:20,850] - INFO: Epoch 3203/9999, Iter 320200: Loss = 0.010346056893467903, lr = [1.25e-05] +[2024-05-27 00:56:48,138] - INFO: Epoch 3203/9999, Iter 320240: Loss = 0.010684119537472725, lr = [1.25e-05] +[2024-05-27 00:57:15,360] - INFO: Epoch 3203/9999, Iter 320280: Loss = 0.016960501670837402, lr = [1.25e-05] +[2024-05-27 00:57:43,998] - INFO: Epoch 3204/9999, Iter 320320: Loss = 0.010078001767396927, lr = [1.25e-05] +[2024-05-27 00:58:11,198] - INFO: Epoch 3204/9999, Iter 320360: Loss = 0.010927814990282059, lr = [1.25e-05] +[2024-05-27 00:58:39,789] - INFO: Epoch 3205/9999, Iter 320400: Loss = 0.00826546922326088, lr = [1.25e-05] +[2024-05-27 00:59:07,154] - INFO: Epoch 3205/9999, Iter 320440: Loss = 0.00885697640478611, lr = [1.25e-05] +[2024-05-27 00:59:34,402] - INFO: Epoch 3205/9999, Iter 320480: Loss = 0.014504723250865936, lr = [1.25e-05] +[2024-05-27 00:59:47,660] - INFO: Evaluate at epoch 3205! +[2024-05-27 00:59:52,338] - INFO: Eval PSNR (max): 38.253 (3115) SSIM (max): 0.9618 (3030) +[2024-05-27 00:59:52,338] - INFO: Eval PSNR (current): 38.248 (3205) SSIM (current): 0.9617 (3205) +[2024-05-27 00:59:52,338] - INFO: Evaluation over. +[2024-05-27 01:00:12,874] - INFO: Epoch 3206/9999, Iter 320520: Loss = 0.011106433346867561, lr = [1.25e-05] +[2024-05-27 01:00:40,183] - INFO: Epoch 3206/9999, Iter 320560: Loss = 0.012545923702418804, lr = [1.25e-05] +[2024-05-27 01:01:08,705] - INFO: Epoch 3207/9999, Iter 320600: Loss = 0.009267957881093025, lr = [1.25e-05] +[2024-05-27 01:01:35,968] - INFO: Epoch 3207/9999, Iter 320640: Loss = 0.01110756304115057, lr = [1.25e-05] +[2024-05-27 01:02:03,186] - INFO: Epoch 3207/9999, Iter 320680: Loss = 0.011436623521149158, lr = [1.25e-05] +[2024-05-27 01:02:31,791] - INFO: Epoch 3208/9999, Iter 320720: Loss = 0.012539103627204895, lr = [1.25e-05] +[2024-05-27 01:02:59,061] - INFO: Epoch 3208/9999, Iter 320760: Loss = 0.018245194107294083, lr = [1.25e-05] +[2024-05-27 01:03:27,589] - INFO: Epoch 3209/9999, Iter 320800: Loss = 0.007736817933619022, lr = [1.25e-05] +[2024-05-27 01:03:54,898] - INFO: Epoch 3209/9999, Iter 320840: Loss = 0.011822587810456753, lr = [1.25e-05] +[2024-05-27 01:04:22,047] - INFO: Epoch 3209/9999, Iter 320880: Loss = 0.009869106113910675, lr = [1.25e-05] +[2024-05-27 01:04:50,671] - INFO: Epoch 3210/9999, Iter 320920: Loss = 0.013934213668107986, lr = [1.25e-05] +[2024-05-27 01:05:17,883] - INFO: Epoch 3210/9999, Iter 320960: Loss = 0.020489811897277832, lr = [1.25e-05] +[2024-05-27 01:05:44,793] - INFO: Evaluate at epoch 3210! +[2024-05-27 01:05:49,430] - INFO: Eval PSNR (max): 38.253 (3115) SSIM (max): 0.9618 (3030) +[2024-05-27 01:05:49,430] - INFO: Eval PSNR (current): 38.237 (3210) SSIM (current): 0.9617 (3210) +[2024-05-27 01:05:49,430] - INFO: Evaluation over. +[2024-05-27 01:05:56,318] - INFO: Epoch 3211/9999, Iter 321000: Loss = 0.01016125176101923, lr = [1.25e-05] +[2024-05-27 01:06:23,604] - INFO: Epoch 3211/9999, Iter 321040: Loss = 0.009148705750703812, lr = [1.25e-05] +[2024-05-27 01:06:50,766] - INFO: Epoch 3211/9999, Iter 321080: Loss = 0.010402700863778591, lr = [1.25e-05] +[2024-05-27 01:07:19,502] - INFO: Epoch 3212/9999, Iter 321120: Loss = 0.009015104733407497, lr = [1.25e-05] +[2024-05-27 01:07:46,695] - INFO: Epoch 3212/9999, Iter 321160: Loss = 0.01669265516102314, lr = [1.25e-05] +[2024-05-27 01:08:15,169] - INFO: Epoch 3213/9999, Iter 321200: Loss = 0.015850815922021866, lr = [1.25e-05] +[2024-05-27 01:08:42,426] - INFO: Epoch 3213/9999, Iter 321240: Loss = 0.009608362801373005, lr = [1.25e-05] +[2024-05-27 01:09:09,670] - INFO: Epoch 3213/9999, Iter 321280: Loss = 0.024157101288437843, lr = [1.25e-05] +[2024-05-27 01:09:38,162] - INFO: Epoch 3214/9999, Iter 321320: Loss = 0.01501215249300003, lr = [1.25e-05] +[2024-05-27 01:10:05,375] - INFO: Epoch 3214/9999, Iter 321360: Loss = 0.009977815672755241, lr = [1.25e-05] +[2024-05-27 01:10:33,936] - INFO: Epoch 3215/9999, Iter 321400: Loss = 0.005628187209367752, lr = [1.25e-05] +[2024-05-27 01:11:01,216] - INFO: Epoch 3215/9999, Iter 321440: Loss = 0.013654213398694992, lr = [1.25e-05] +[2024-05-27 01:11:28,421] - INFO: Epoch 3215/9999, Iter 321480: Loss = 0.013177739456295967, lr = [1.25e-05] +[2024-05-27 01:11:41,771] - INFO: Evaluate at epoch 3215! +[2024-05-27 01:11:46,462] - INFO: Eval PSNR (max): 38.253 (3115) SSIM (max): 0.9618 (3030) +[2024-05-27 01:11:46,462] - INFO: Eval PSNR (current): 38.233 (3215) SSIM (current): 0.9617 (3215) +[2024-05-27 01:11:46,462] - INFO: Evaluation over. +[2024-05-27 01:12:06,859] - INFO: Epoch 3216/9999, Iter 321520: Loss = 0.014511443674564362, lr = [1.25e-05] +[2024-05-27 01:12:34,121] - INFO: Epoch 3216/9999, Iter 321560: Loss = 0.015518958680331707, lr = [1.25e-05] +[2024-05-27 01:13:02,929] - INFO: Epoch 3217/9999, Iter 321600: Loss = 0.006209772080183029, lr = [1.25e-05] +[2024-05-27 01:13:30,307] - INFO: Epoch 3217/9999, Iter 321640: Loss = 0.010256941430270672, lr = [1.25e-05] +[2024-05-27 01:13:57,528] - INFO: Epoch 3217/9999, Iter 321680: Loss = 0.01177966594696045, lr = [1.25e-05] +[2024-05-27 01:14:26,366] - INFO: Epoch 3218/9999, Iter 321720: Loss = 0.007326435763388872, lr = [1.25e-05] +[2024-05-27 01:14:53,600] - INFO: Epoch 3218/9999, Iter 321760: Loss = 0.009355909191071987, lr = [1.25e-05] +[2024-05-27 01:15:22,130] - INFO: Epoch 3219/9999, Iter 321800: Loss = 0.015883857384324074, lr = [1.25e-05] +[2024-05-27 01:15:49,430] - INFO: Epoch 3219/9999, Iter 321840: Loss = 0.01851860247552395, lr = [1.25e-05] +[2024-05-27 01:16:16,706] - INFO: Epoch 3219/9999, Iter 321880: Loss = 0.011038594879209995, lr = [1.25e-05] +[2024-05-27 01:16:45,342] - INFO: Epoch 3220/9999, Iter 321920: Loss = 0.007359618321061134, lr = [1.25e-05] +[2024-05-27 01:17:12,554] - INFO: Epoch 3220/9999, Iter 321960: Loss = 0.01458658091723919, lr = [1.25e-05] +[2024-05-27 01:17:39,457] - INFO: Evaluate at epoch 3220! +[2024-05-27 01:17:44,060] - INFO: Eval PSNR (max): 38.253 (3115) SSIM (max): 0.9618 (3030) +[2024-05-27 01:17:44,061] - INFO: Eval PSNR (current): 38.220 (3220) SSIM (current): 0.9617 (3220) +[2024-05-27 01:17:44,061] - INFO: Evaluation over. +[2024-05-27 01:17:50,788] - INFO: Epoch 3221/9999, Iter 322000: Loss = 0.01683707907795906, lr = [1.25e-05] +[2024-05-27 01:18:18,138] - INFO: Epoch 3221/9999, Iter 322040: Loss = 0.012633979320526123, lr = [1.25e-05] +[2024-05-27 01:18:45,353] - INFO: Epoch 3221/9999, Iter 322080: Loss = 0.010949181392788887, lr = [1.25e-05] +[2024-05-27 01:19:13,792] - INFO: Epoch 3222/9999, Iter 322120: Loss = 0.01858045905828476, lr = [1.25e-05] +[2024-05-27 01:19:40,933] - INFO: Epoch 3222/9999, Iter 322160: Loss = 0.007473641540855169, lr = [1.25e-05] +[2024-05-27 01:20:09,489] - INFO: Epoch 3223/9999, Iter 322200: Loss = 0.007576322183012962, lr = [1.25e-05] +[2024-05-27 01:20:36,718] - INFO: Epoch 3223/9999, Iter 322240: Loss = 0.010708079673349857, lr = [1.25e-05] +[2024-05-27 01:21:03,885] - INFO: Epoch 3223/9999, Iter 322280: Loss = 0.012779287062585354, lr = [1.25e-05] +[2024-05-27 01:21:32,630] - INFO: Epoch 3224/9999, Iter 322320: Loss = 0.016596022993326187, lr = [1.25e-05] +[2024-05-27 01:21:59,823] - INFO: Epoch 3224/9999, Iter 322360: Loss = 0.008302680216729641, lr = [1.25e-05] +[2024-05-27 01:22:28,349] - INFO: Epoch 3225/9999, Iter 322400: Loss = 0.011564833112061024, lr = [1.25e-05] +[2024-05-27 01:22:55,694] - INFO: Epoch 3225/9999, Iter 322440: Loss = 0.009075777605175972, lr = [1.25e-05] +[2024-05-27 01:23:22,846] - INFO: Epoch 3225/9999, Iter 322480: Loss = 0.015691718086600304, lr = [1.25e-05] +[2024-05-27 01:23:36,138] - INFO: Evaluate at epoch 3225! +[2024-05-27 01:23:40,817] - INFO: Eval PSNR (max): 38.253 (3115) SSIM (max): 0.9618 (3030) +[2024-05-27 01:23:40,818] - INFO: Eval PSNR (current): 38.250 (3225) SSIM (current): 0.9617 (3225) +[2024-05-27 01:23:40,818] - INFO: Evaluation over. +[2024-05-27 01:24:01,512] - INFO: Epoch 3226/9999, Iter 322520: Loss = 0.011574442498385906, lr = [1.25e-05] +[2024-05-27 01:24:28,782] - INFO: Epoch 3226/9999, Iter 322560: Loss = 0.016445156186819077, lr = [1.25e-05] +[2024-05-27 01:24:57,522] - INFO: Epoch 3227/9999, Iter 322600: Loss = 0.006802384741604328, lr = [1.25e-05] +[2024-05-27 01:25:24,770] - INFO: Epoch 3227/9999, Iter 322640: Loss = 0.011709981597959995, lr = [1.25e-05] +[2024-05-27 01:25:51,962] - INFO: Epoch 3227/9999, Iter 322680: Loss = 0.009007184766232967, lr = [1.25e-05] +[2024-05-27 01:26:20,970] - INFO: Epoch 3228/9999, Iter 322720: Loss = 0.011010252870619297, lr = [1.25e-05] +[2024-05-27 01:26:48,131] - INFO: Epoch 3228/9999, Iter 322760: Loss = 0.007824643515050411, lr = [1.25e-05] +[2024-05-27 01:27:16,725] - INFO: Epoch 3229/9999, Iter 322800: Loss = 0.01226773951202631, lr = [1.25e-05] +[2024-05-27 01:27:44,029] - INFO: Epoch 3229/9999, Iter 322840: Loss = 0.007912413217127323, lr = [1.25e-05] +[2024-05-27 01:28:11,191] - INFO: Epoch 3229/9999, Iter 322880: Loss = 0.010433224029839039, lr = [1.25e-05] +[2024-05-27 01:28:39,802] - INFO: Epoch 3230/9999, Iter 322920: Loss = 0.012860655784606934, lr = [1.25e-05] +[2024-05-27 01:29:07,018] - INFO: Epoch 3230/9999, Iter 322960: Loss = 0.014977597631514072, lr = [1.25e-05] +[2024-05-27 01:29:33,870] - INFO: Evaluate at epoch 3230! +[2024-05-27 01:29:38,464] - INFO: Eval PSNR (max): 38.253 (3115) SSIM (max): 0.9618 (3030) +[2024-05-27 01:29:38,464] - INFO: Eval PSNR (current): 38.247 (3230) SSIM (current): 0.9617 (3230) +[2024-05-27 01:29:38,464] - INFO: Evaluation over. +[2024-05-27 01:29:45,298] - INFO: Epoch 3231/9999, Iter 323000: Loss = 0.009593140333890915, lr = [1.25e-05] +[2024-05-27 01:30:12,510] - INFO: Epoch 3231/9999, Iter 323040: Loss = 0.010565020143985748, lr = [1.25e-05] +[2024-05-27 01:30:39,642] - INFO: Epoch 3231/9999, Iter 323080: Loss = 0.009106973186135292, lr = [1.25e-05] +[2024-05-27 01:31:08,352] - INFO: Epoch 3232/9999, Iter 323120: Loss = 0.012470725923776627, lr = [1.25e-05] +[2024-05-27 01:31:35,553] - INFO: Epoch 3232/9999, Iter 323160: Loss = 0.020569531247019768, lr = [1.25e-05] +[2024-05-27 01:32:04,078] - INFO: Epoch 3233/9999, Iter 323200: Loss = 0.012284894473850727, lr = [1.25e-05] +[2024-05-27 01:32:31,333] - INFO: Epoch 3233/9999, Iter 323240: Loss = 0.011974204331636429, lr = [1.25e-05] +[2024-05-27 01:32:58,512] - INFO: Epoch 3233/9999, Iter 323280: Loss = 0.007643034681677818, lr = [1.25e-05] +[2024-05-27 01:33:27,176] - INFO: Epoch 3234/9999, Iter 323320: Loss = 0.012938156723976135, lr = [1.25e-05] +[2024-05-27 01:33:54,466] - INFO: Epoch 3234/9999, Iter 323360: Loss = 0.013352902606129646, lr = [1.25e-05] +[2024-05-27 01:34:22,873] - INFO: Epoch 3235/9999, Iter 323400: Loss = 0.022480253130197525, lr = [1.25e-05] +[2024-05-27 01:34:50,176] - INFO: Epoch 3235/9999, Iter 323440: Loss = 0.016641242429614067, lr = [1.25e-05] +[2024-05-27 01:35:17,312] - INFO: Epoch 3235/9999, Iter 323480: Loss = 0.006846640259027481, lr = [1.25e-05] +[2024-05-27 01:35:30,587] - INFO: Evaluate at epoch 3235! +[2024-05-27 01:35:35,188] - INFO: Eval PSNR (max): 38.253 (3115) SSIM (max): 0.9618 (3030) +[2024-05-27 01:35:35,188] - INFO: Eval PSNR (current): 38.250 (3235) SSIM (current): 0.9617 (3235) +[2024-05-27 01:35:35,188] - INFO: Evaluation over. +[2024-05-27 01:35:55,764] - INFO: Epoch 3236/9999, Iter 323520: Loss = 0.017214108258485794, lr = [1.25e-05] +[2024-05-27 01:36:22,938] - INFO: Epoch 3236/9999, Iter 323560: Loss = 0.011339960619807243, lr = [1.25e-05] +[2024-05-27 01:36:51,469] - INFO: Epoch 3237/9999, Iter 323600: Loss = 0.011838508769869804, lr = [1.25e-05] +[2024-05-27 01:37:18,802] - INFO: Epoch 3237/9999, Iter 323640: Loss = 0.021055353805422783, lr = [1.25e-05] +[2024-05-27 01:37:46,057] - INFO: Epoch 3237/9999, Iter 323680: Loss = 0.010184386745095253, lr = [1.25e-05] +[2024-05-27 01:38:14,790] - INFO: Epoch 3238/9999, Iter 323720: Loss = 0.010691643692553043, lr = [1.25e-05] +[2024-05-27 01:38:42,015] - INFO: Epoch 3238/9999, Iter 323760: Loss = 0.012482775375247002, lr = [1.25e-05] +[2024-05-27 01:39:10,906] - INFO: Epoch 3239/9999, Iter 323800: Loss = 0.01697961986064911, lr = [1.25e-05] +[2024-05-27 01:39:38,198] - INFO: Epoch 3239/9999, Iter 323840: Loss = 0.005392991937696934, lr = [1.25e-05] +[2024-05-27 01:40:05,437] - INFO: Epoch 3239/9999, Iter 323880: Loss = 0.014467023313045502, lr = [1.25e-05] +[2024-05-27 01:40:34,302] - INFO: Epoch 3240/9999, Iter 323920: Loss = 0.01272421795874834, lr = [1.25e-05] +[2024-05-27 01:41:01,490] - INFO: Epoch 3240/9999, Iter 323960: Loss = 0.016485139727592468, lr = [1.25e-05] +[2024-05-27 01:41:28,298] - INFO: Evaluate at epoch 3240! +[2024-05-27 01:41:33,107] - INFO: Eval PSNR (max): 38.253 (3115) SSIM (max): 0.9618 (3030) +[2024-05-27 01:41:33,107] - INFO: Eval PSNR (current): 38.241 (3240) SSIM (current): 0.9617 (3240) +[2024-05-27 01:41:33,107] - INFO: Evaluation over. +[2024-05-27 01:41:40,001] - INFO: Epoch 3241/9999, Iter 324000: Loss = 0.01967022754251957, lr = [1.25e-05] +[2024-05-27 01:42:07,290] - INFO: Epoch 3241/9999, Iter 324040: Loss = 0.01711934432387352, lr = [1.25e-05] +[2024-05-27 01:42:34,479] - INFO: Epoch 3241/9999, Iter 324080: Loss = 0.018779972568154335, lr = [1.25e-05] +[2024-05-27 01:43:03,159] - INFO: Epoch 3242/9999, Iter 324120: Loss = 0.011247304268181324, lr = [1.25e-05] +[2024-05-27 01:43:30,366] - INFO: Epoch 3242/9999, Iter 324160: Loss = 0.014588313177227974, lr = [1.25e-05] +[2024-05-27 01:43:58,944] - INFO: Epoch 3243/9999, Iter 324200: Loss = 0.007820685394108295, lr = [1.25e-05] +[2024-05-27 01:44:26,190] - INFO: Epoch 3243/9999, Iter 324240: Loss = 0.01470852829515934, lr = [1.25e-05] +[2024-05-27 01:44:53,332] - INFO: Epoch 3243/9999, Iter 324280: Loss = 0.009517616592347622, lr = [1.25e-05] +[2024-05-27 01:45:22,254] - INFO: Epoch 3244/9999, Iter 324320: Loss = 0.014552203007042408, lr = [1.25e-05] +[2024-05-27 01:45:49,446] - INFO: Epoch 3244/9999, Iter 324360: Loss = 0.013300839811563492, lr = [1.25e-05] +[2024-05-27 01:46:17,968] - INFO: Epoch 3245/9999, Iter 324400: Loss = 0.01963973231613636, lr = [1.25e-05] +[2024-05-27 01:46:45,371] - INFO: Epoch 3245/9999, Iter 324440: Loss = 0.010271227918565273, lr = [1.25e-05] +[2024-05-27 01:47:12,603] - INFO: Epoch 3245/9999, Iter 324480: Loss = 0.016174690797924995, lr = [1.25e-05] +[2024-05-27 01:47:25,903] - INFO: Evaluate at epoch 3245! +[2024-05-27 01:47:35,859] - INFO: Eval PSNR (max): 38.253 (3245) SSIM (max): 0.9618 (3030) +[2024-05-27 01:47:35,859] - INFO: Eval PSNR (current): 38.253 (3245) SSIM (current): 0.9617 (3245) +[2024-05-27 01:47:35,859] - INFO: Evaluation over. +[2024-05-27 01:47:56,189] - INFO: Epoch 3246/9999, Iter 324520: Loss = 0.012274481356143951, lr = [1.25e-05] +[2024-05-27 01:48:23,464] - INFO: Epoch 3246/9999, Iter 324560: Loss = 0.006337878294289112, lr = [1.25e-05] +[2024-05-27 01:48:51,952] - INFO: Epoch 3247/9999, Iter 324600: Loss = 0.011003128252923489, lr = [1.25e-05] +[2024-05-27 01:49:19,254] - INFO: Epoch 3247/9999, Iter 324640: Loss = 0.012099885381758213, lr = [1.25e-05] +[2024-05-27 01:49:46,474] - INFO: Epoch 3247/9999, Iter 324680: Loss = 0.010898358188569546, lr = [1.25e-05] +[2024-05-27 01:50:15,122] - INFO: Epoch 3248/9999, Iter 324720: Loss = 0.014392198994755745, lr = [1.25e-05] +[2024-05-27 01:50:42,313] - INFO: Epoch 3248/9999, Iter 324760: Loss = 0.009558398276567459, lr = [1.25e-05] +[2024-05-27 01:51:10,985] - INFO: Epoch 3249/9999, Iter 324800: Loss = 0.00644106138497591, lr = [1.25e-05] +[2024-05-27 01:51:38,294] - INFO: Epoch 3249/9999, Iter 324840: Loss = 0.012902257964015007, lr = [1.25e-05] +[2024-05-27 01:52:05,479] - INFO: Epoch 3249/9999, Iter 324880: Loss = 0.01363835297524929, lr = [1.25e-05] +[2024-05-27 01:52:34,222] - INFO: Epoch 3250/9999, Iter 324920: Loss = 0.009521429426968098, lr = [1.25e-05] +[2024-05-27 01:53:01,401] - INFO: Epoch 3250/9999, Iter 324960: Loss = 0.00990245770663023, lr = [1.25e-05] +[2024-05-27 01:53:28,282] - INFO: Evaluate at epoch 3250! +[2024-05-27 01:53:32,937] - INFO: Eval PSNR (max): 38.253 (3245) SSIM (max): 0.9618 (3030) +[2024-05-27 01:53:32,937] - INFO: Eval PSNR (current): 38.239 (3250) SSIM (current): 0.9617 (3250) +[2024-05-27 01:53:32,937] - INFO: Evaluation over. +[2024-05-27 01:53:39,741] - INFO: Epoch 3251/9999, Iter 325000: Loss = 0.015683133155107498, lr = [1.25e-05] +[2024-05-27 01:54:07,038] - INFO: Epoch 3251/9999, Iter 325040: Loss = 0.010196523740887642, lr = [1.25e-05] +[2024-05-27 01:54:34,204] - INFO: Epoch 3251/9999, Iter 325080: Loss = 0.007540418300777674, lr = [1.25e-05] +[2024-05-27 01:55:02,839] - INFO: Epoch 3252/9999, Iter 325120: Loss = 0.01357922051101923, lr = [1.25e-05] +[2024-05-27 01:55:30,079] - INFO: Epoch 3252/9999, Iter 325160: Loss = 0.011903113685548306, lr = [1.25e-05] +[2024-05-27 01:55:58,623] - INFO: Epoch 3253/9999, Iter 325200: Loss = 0.01261539850383997, lr = [1.25e-05] +[2024-05-27 01:56:25,859] - INFO: Epoch 3253/9999, Iter 325240: Loss = 0.006573033519089222, lr = [1.25e-05] +[2024-05-27 01:56:53,182] - INFO: Epoch 3253/9999, Iter 325280: Loss = 0.01444251649081707, lr = [1.25e-05] +[2024-05-27 01:57:21,696] - INFO: Epoch 3254/9999, Iter 325320: Loss = 0.009831349365413189, lr = [1.25e-05] +[2024-05-27 01:57:48,866] - INFO: Epoch 3254/9999, Iter 325360: Loss = 0.016619015485048294, lr = [1.25e-05] +[2024-05-27 01:58:17,530] - INFO: Epoch 3255/9999, Iter 325400: Loss = 0.009059100411832333, lr = [1.25e-05] +[2024-05-27 01:58:44,742] - INFO: Epoch 3255/9999, Iter 325440: Loss = 0.014521232806146145, lr = [1.25e-05] +[2024-05-27 01:59:12,019] - INFO: Epoch 3255/9999, Iter 325480: Loss = 0.0175776369869709, lr = [1.25e-05] +[2024-05-27 01:59:25,281] - INFO: Evaluate at epoch 3255! +[2024-05-27 01:59:29,884] - INFO: Eval PSNR (max): 38.253 (3245) SSIM (max): 0.9618 (3030) +[2024-05-27 01:59:29,884] - INFO: Eval PSNR (current): 38.232 (3255) SSIM (current): 0.9617 (3255) +[2024-05-27 01:59:29,884] - INFO: Evaluation over. +[2024-05-27 01:59:50,338] - INFO: Epoch 3256/9999, Iter 325520: Loss = 0.008947846479713917, lr = [1.25e-05] +[2024-05-27 02:00:17,594] - INFO: Epoch 3256/9999, Iter 325560: Loss = 0.014210418798029423, lr = [1.25e-05] +[2024-05-27 02:00:46,437] - INFO: Epoch 3257/9999, Iter 325600: Loss = 0.01738159917294979, lr = [1.25e-05] +[2024-05-27 02:01:13,720] - INFO: Epoch 3257/9999, Iter 325640: Loss = 0.003884828882291913, lr = [1.25e-05] +[2024-05-27 02:01:40,869] - INFO: Epoch 3257/9999, Iter 325680: Loss = 0.012704385444521904, lr = [1.25e-05] +[2024-05-27 02:02:09,582] - INFO: Epoch 3258/9999, Iter 325720: Loss = 0.008785584010183811, lr = [1.25e-05] +[2024-05-27 02:02:36,667] - INFO: Epoch 3258/9999, Iter 325760: Loss = 0.023352662101387978, lr = [1.25e-05] +[2024-05-27 02:03:05,309] - INFO: Epoch 3259/9999, Iter 325800: Loss = 0.009475143626332283, lr = [1.25e-05] +[2024-05-27 02:03:32,518] - INFO: Epoch 3259/9999, Iter 325840: Loss = 0.00830699224025011, lr = [1.25e-05] +[2024-05-27 02:03:59,664] - INFO: Epoch 3259/9999, Iter 325880: Loss = 0.011617466807365417, lr = [1.25e-05] +[2024-05-27 02:04:28,298] - INFO: Epoch 3260/9999, Iter 325920: Loss = 0.017407266423106194, lr = [1.25e-05] +[2024-05-27 02:04:55,521] - INFO: Epoch 3260/9999, Iter 325960: Loss = 0.010525468736886978, lr = [1.25e-05] +[2024-05-27 02:05:22,405] - INFO: Evaluate at epoch 3260! +[2024-05-27 02:05:27,003] - INFO: Eval PSNR (max): 38.253 (3245) SSIM (max): 0.9618 (3030) +[2024-05-27 02:05:27,003] - INFO: Eval PSNR (current): 38.246 (3260) SSIM (current): 0.9617 (3260) +[2024-05-27 02:05:27,003] - INFO: Evaluation over. +[2024-05-27 02:05:34,044] - INFO: Epoch 3261/9999, Iter 326000: Loss = 0.009536867029964924, lr = [1.25e-05] +[2024-05-27 02:06:01,323] - INFO: Epoch 3261/9999, Iter 326040: Loss = 0.010125129483640194, lr = [1.25e-05] +[2024-05-27 02:06:28,479] - INFO: Epoch 3261/9999, Iter 326080: Loss = 0.017563771456480026, lr = [1.25e-05] +[2024-05-27 02:06:57,026] - INFO: Epoch 3262/9999, Iter 326120: Loss = 0.018067127093672752, lr = [1.25e-05] +[2024-05-27 02:07:24,271] - INFO: Epoch 3262/9999, Iter 326160: Loss = 0.014982396736741066, lr = [1.25e-05] +[2024-05-27 02:07:52,820] - INFO: Epoch 3263/9999, Iter 326200: Loss = 0.011848822236061096, lr = [1.25e-05] +[2024-05-27 02:08:20,078] - INFO: Epoch 3263/9999, Iter 326240: Loss = 0.02494133822619915, lr = [1.25e-05] +[2024-05-27 02:08:47,282] - INFO: Epoch 3263/9999, Iter 326280: Loss = 0.013747943565249443, lr = [1.25e-05] +[2024-05-27 02:09:15,983] - INFO: Epoch 3264/9999, Iter 326320: Loss = 0.012025060132145882, lr = [1.25e-05] +[2024-05-27 02:09:43,238] - INFO: Epoch 3264/9999, Iter 326360: Loss = 0.019756674766540527, lr = [1.25e-05] +[2024-05-27 02:10:11,670] - INFO: Epoch 3265/9999, Iter 326400: Loss = 0.020312190055847168, lr = [1.25e-05] +[2024-05-27 02:10:38,978] - INFO: Epoch 3265/9999, Iter 326440: Loss = 0.011560605838894844, lr = [1.25e-05] +[2024-05-27 02:11:06,211] - INFO: Epoch 3265/9999, Iter 326480: Loss = 0.020335087552666664, lr = [1.25e-05] +[2024-05-27 02:11:19,506] - INFO: Evaluate at epoch 3265! +[2024-05-27 02:11:24,027] - INFO: Eval PSNR (max): 38.253 (3245) SSIM (max): 0.9618 (3030) +[2024-05-27 02:11:24,027] - INFO: Eval PSNR (current): 38.239 (3265) SSIM (current): 0.9617 (3265) +[2024-05-27 02:11:24,027] - INFO: Evaluation over. +[2024-05-27 02:11:44,648] - INFO: Epoch 3266/9999, Iter 326520: Loss = 0.01499402429908514, lr = [1.25e-05] +[2024-05-27 02:12:11,865] - INFO: Epoch 3266/9999, Iter 326560: Loss = 0.011338366195559502, lr = [1.25e-05] +[2024-05-27 02:12:40,348] - INFO: Epoch 3267/9999, Iter 326600: Loss = 0.013866230845451355, lr = [1.25e-05] +[2024-05-27 02:13:07,632] - INFO: Epoch 3267/9999, Iter 326640: Loss = 0.012995806522667408, lr = [1.25e-05] +[2024-05-27 02:13:34,837] - INFO: Epoch 3267/9999, Iter 326680: Loss = 0.013040742836892605, lr = [1.25e-05] +[2024-05-27 02:14:03,582] - INFO: Epoch 3268/9999, Iter 326720: Loss = 0.016033345833420753, lr = [1.25e-05] +[2024-05-27 02:14:30,811] - INFO: Epoch 3268/9999, Iter 326760: Loss = 0.010051603429019451, lr = [1.25e-05] +[2024-05-27 02:14:59,413] - INFO: Epoch 3269/9999, Iter 326800: Loss = 0.010307935997843742, lr = [1.25e-05] +[2024-05-27 02:15:26,726] - INFO: Epoch 3269/9999, Iter 326840: Loss = 0.012188843451440334, lr = [1.25e-05] +[2024-05-27 02:15:53,919] - INFO: Epoch 3269/9999, Iter 326880: Loss = 0.01305701769888401, lr = [1.25e-05] +[2024-05-27 02:16:22,515] - INFO: Epoch 3270/9999, Iter 326920: Loss = 0.014570578932762146, lr = [1.25e-05] +[2024-05-27 02:16:49,665] - INFO: Epoch 3270/9999, Iter 326960: Loss = 0.016055189073085785, lr = [1.25e-05] +[2024-05-27 02:17:16,550] - INFO: Evaluate at epoch 3270! +[2024-05-27 02:17:21,172] - INFO: Eval PSNR (max): 38.253 (3245) SSIM (max): 0.9618 (3030) +[2024-05-27 02:17:21,173] - INFO: Eval PSNR (current): 38.232 (3270) SSIM (current): 0.9617 (3270) +[2024-05-27 02:17:21,173] - INFO: Evaluation over. +[2024-05-27 02:17:28,308] - INFO: Epoch 3271/9999, Iter 327000: Loss = 0.014963011257350445, lr = [1.25e-05] +[2024-05-27 02:17:55,587] - INFO: Epoch 3271/9999, Iter 327040: Loss = 0.018522722646594048, lr = [1.25e-05] +[2024-05-27 02:18:22,794] - INFO: Epoch 3271/9999, Iter 327080: Loss = 0.010416380129754543, lr = [1.25e-05] +[2024-05-27 02:18:51,460] - INFO: Epoch 3272/9999, Iter 327120: Loss = 0.021335968747735023, lr = [1.25e-05] +[2024-05-27 02:19:18,652] - INFO: Epoch 3272/9999, Iter 327160: Loss = 0.01381315104663372, lr = [1.25e-05] +[2024-05-27 02:19:47,110] - INFO: Epoch 3273/9999, Iter 327200: Loss = 0.015309382230043411, lr = [1.25e-05] +[2024-05-27 02:20:14,364] - INFO: Epoch 3273/9999, Iter 327240: Loss = 0.008481109514832497, lr = [1.25e-05] +[2024-05-27 02:20:41,549] - INFO: Epoch 3273/9999, Iter 327280: Loss = 0.01439377199858427, lr = [1.25e-05] +[2024-05-27 02:21:10,017] - INFO: Epoch 3274/9999, Iter 327320: Loss = 0.005991735495626926, lr = [1.25e-05] +[2024-05-27 02:21:37,246] - INFO: Epoch 3274/9999, Iter 327360: Loss = 0.011407141573727131, lr = [1.25e-05] +[2024-05-27 02:22:06,005] - INFO: Epoch 3275/9999, Iter 327400: Loss = 0.006210956256836653, lr = [1.25e-05] +[2024-05-27 02:22:33,280] - INFO: Epoch 3275/9999, Iter 327440: Loss = 0.009076162241399288, lr = [1.25e-05] +[2024-05-27 02:23:00,524] - INFO: Epoch 3275/9999, Iter 327480: Loss = 0.015488882549107075, lr = [1.25e-05] +[2024-05-27 02:23:13,837] - INFO: Evaluate at epoch 3275! +[2024-05-27 02:23:18,531] - INFO: Eval PSNR (max): 38.253 (3245) SSIM (max): 0.9618 (3030) +[2024-05-27 02:23:18,531] - INFO: Eval PSNR (current): 38.230 (3275) SSIM (current): 0.9617 (3275) +[2024-05-27 02:23:18,531] - INFO: Evaluation over. +[2024-05-27 02:23:39,063] - INFO: Epoch 3276/9999, Iter 327520: Loss = 0.01123493816703558, lr = [1.25e-05] +[2024-05-27 02:24:06,274] - INFO: Epoch 3276/9999, Iter 327560: Loss = 0.011684579774737358, lr = [1.25e-05] +[2024-05-27 02:24:34,769] - INFO: Epoch 3277/9999, Iter 327600: Loss = 0.022335652261972427, lr = [1.25e-05] +[2024-05-27 02:25:02,023] - INFO: Epoch 3277/9999, Iter 327640: Loss = 0.008335801772773266, lr = [1.25e-05] +[2024-05-27 02:25:29,236] - INFO: Epoch 3277/9999, Iter 327680: Loss = 0.009601748548448086, lr = [1.25e-05] +[2024-05-27 02:25:57,966] - INFO: Epoch 3278/9999, Iter 327720: Loss = 0.012110412120819092, lr = [1.25e-05] +[2024-05-27 02:26:25,158] - INFO: Epoch 3278/9999, Iter 327760: Loss = 0.01091443095356226, lr = [1.25e-05] +[2024-05-27 02:26:53,746] - INFO: Epoch 3279/9999, Iter 327800: Loss = 0.016867848113179207, lr = [1.25e-05] +[2024-05-27 02:27:21,136] - INFO: Epoch 3279/9999, Iter 327840: Loss = 0.012394535355269909, lr = [1.25e-05] +[2024-05-27 02:27:48,326] - INFO: Epoch 3279/9999, Iter 327880: Loss = 0.00887185987085104, lr = [1.25e-05] +[2024-05-27 02:28:17,082] - INFO: Epoch 3280/9999, Iter 327920: Loss = 0.0064976513385772705, lr = [1.25e-05] +[2024-05-27 02:28:44,242] - INFO: Epoch 3280/9999, Iter 327960: Loss = 0.013378600589931011, lr = [1.25e-05] +[2024-05-27 02:29:11,151] - INFO: Evaluate at epoch 3280! +[2024-05-27 02:29:15,849] - INFO: Eval PSNR (max): 38.253 (3245) SSIM (max): 0.9618 (3030) +[2024-05-27 02:29:15,849] - INFO: Eval PSNR (current): 38.225 (3280) SSIM (current): 0.9616 (3280) +[2024-05-27 02:29:15,849] - INFO: Evaluation over. +[2024-05-27 02:29:22,618] - INFO: Epoch 3281/9999, Iter 328000: Loss = 0.01005448680371046, lr = [1.25e-05] +[2024-05-27 02:29:49,926] - INFO: Epoch 3281/9999, Iter 328040: Loss = 0.010638082399964333, lr = [1.25e-05] +[2024-05-27 02:30:17,150] - INFO: Epoch 3281/9999, Iter 328080: Loss = 0.014097494073212147, lr = [1.25e-05] +[2024-05-27 02:30:45,595] - INFO: Epoch 3282/9999, Iter 328120: Loss = 0.011411874555051327, lr = [1.25e-05] +[2024-05-27 02:31:12,811] - INFO: Epoch 3282/9999, Iter 328160: Loss = 0.009862235747277737, lr = [1.25e-05] +[2024-05-27 02:31:41,404] - INFO: Epoch 3283/9999, Iter 328200: Loss = 0.011889621615409851, lr = [1.25e-05] +[2024-05-27 02:32:08,734] - INFO: Epoch 3283/9999, Iter 328240: Loss = 0.014603266492486, lr = [1.25e-05] +[2024-05-27 02:32:35,914] - INFO: Epoch 3283/9999, Iter 328280: Loss = 0.013499215245246887, lr = [1.25e-05] +[2024-05-27 02:33:04,691] - INFO: Epoch 3284/9999, Iter 328320: Loss = 0.007214030716568232, lr = [1.25e-05] +[2024-05-27 02:33:31,905] - INFO: Epoch 3284/9999, Iter 328360: Loss = 0.014996076002717018, lr = [1.25e-05] +[2024-05-27 02:34:00,658] - INFO: Epoch 3285/9999, Iter 328400: Loss = 0.015590250492095947, lr = [1.25e-05] +[2024-05-27 02:34:27,897] - INFO: Epoch 3285/9999, Iter 328440: Loss = 0.014907483011484146, lr = [1.25e-05] +[2024-05-27 02:34:55,158] - INFO: Epoch 3285/9999, Iter 328480: Loss = 0.01065140962600708, lr = [1.25e-05] +[2024-05-27 02:35:08,458] - INFO: Evaluate at epoch 3285! +[2024-05-27 02:35:13,160] - INFO: Eval PSNR (max): 38.253 (3245) SSIM (max): 0.9618 (3030) +[2024-05-27 02:35:13,160] - INFO: Eval PSNR (current): 38.230 (3285) SSIM (current): 0.9617 (3285) +[2024-05-27 02:35:13,160] - INFO: Evaluation over. +[2024-05-27 02:35:33,675] - INFO: Epoch 3286/9999, Iter 328520: Loss = 0.01382092572748661, lr = [1.25e-05] +[2024-05-27 02:36:00,861] - INFO: Epoch 3286/9999, Iter 328560: Loss = 0.01197214238345623, lr = [1.25e-05] +[2024-05-27 02:36:29,525] - INFO: Epoch 3287/9999, Iter 328600: Loss = 0.015487401746213436, lr = [1.25e-05] +[2024-05-27 02:36:56,802] - INFO: Epoch 3287/9999, Iter 328640: Loss = 0.011164216324687004, lr = [1.25e-05] +[2024-05-27 02:37:24,058] - INFO: Epoch 3287/9999, Iter 328680: Loss = 0.013369105756282806, lr = [1.25e-05] +[2024-05-27 02:37:52,550] - INFO: Epoch 3288/9999, Iter 328720: Loss = 0.013559575192630291, lr = [1.25e-05] +[2024-05-27 02:38:19,782] - INFO: Epoch 3288/9999, Iter 328760: Loss = 0.010138040408492088, lr = [1.25e-05] +[2024-05-27 02:38:48,284] - INFO: Epoch 3289/9999, Iter 328800: Loss = 0.006560048554092646, lr = [1.25e-05] +[2024-05-27 02:39:15,627] - INFO: Epoch 3289/9999, Iter 328840: Loss = 0.018028968945145607, lr = [1.25e-05] +[2024-05-27 02:39:42,837] - INFO: Epoch 3289/9999, Iter 328880: Loss = 0.008165267296135426, lr = [1.25e-05] +[2024-05-27 02:40:11,755] - INFO: Epoch 3290/9999, Iter 328920: Loss = 0.008513103239238262, lr = [1.25e-05] +[2024-05-27 02:40:38,909] - INFO: Epoch 3290/9999, Iter 328960: Loss = 0.012912302277982235, lr = [1.25e-05] +[2024-05-27 02:41:05,780] - INFO: Evaluate at epoch 3290! +[2024-05-27 02:41:10,424] - INFO: Eval PSNR (max): 38.253 (3245) SSIM (max): 0.9618 (3030) +[2024-05-27 02:41:10,424] - INFO: Eval PSNR (current): 38.241 (3290) SSIM (current): 0.9617 (3290) +[2024-05-27 02:41:10,424] - INFO: Evaluation over. +[2024-05-27 02:41:17,140] - INFO: Epoch 3291/9999, Iter 329000: Loss = 0.018010301515460014, lr = [1.25e-05] +[2024-05-27 02:41:44,548] - INFO: Epoch 3291/9999, Iter 329040: Loss = 0.010611341334879398, lr = [1.25e-05] +[2024-05-27 02:42:11,796] - INFO: Epoch 3291/9999, Iter 329080: Loss = 0.01032788772135973, lr = [1.25e-05] +[2024-05-27 02:42:40,718] - INFO: Epoch 3292/9999, Iter 329120: Loss = 0.009577981196343899, lr = [1.25e-05] +[2024-05-27 02:43:07,973] - INFO: Epoch 3292/9999, Iter 329160: Loss = 0.015391705557703972, lr = [1.25e-05] +[2024-05-27 02:43:36,430] - INFO: Epoch 3293/9999, Iter 329200: Loss = 0.022052763029932976, lr = [1.25e-05] +[2024-05-27 02:44:03,755] - INFO: Epoch 3293/9999, Iter 329240: Loss = 0.00669535668566823, lr = [1.25e-05] +[2024-05-27 02:44:30,862] - INFO: Epoch 3293/9999, Iter 329280: Loss = 0.014170026406645775, lr = [1.25e-05] +[2024-05-27 02:44:59,478] - INFO: Epoch 3294/9999, Iter 329320: Loss = 0.010058621875941753, lr = [1.25e-05] +[2024-05-27 02:45:26,684] - INFO: Epoch 3294/9999, Iter 329360: Loss = 0.00948596652597189, lr = [1.25e-05] +[2024-05-27 02:45:55,429] - INFO: Epoch 3295/9999, Iter 329400: Loss = 0.013107839971780777, lr = [1.25e-05] +[2024-05-27 02:46:22,736] - INFO: Epoch 3295/9999, Iter 329440: Loss = 0.01032319013029337, lr = [1.25e-05] +[2024-05-27 02:46:49,937] - INFO: Epoch 3295/9999, Iter 329480: Loss = 0.0066464245319366455, lr = [1.25e-05] +[2024-05-27 02:47:03,222] - INFO: Evaluate at epoch 3295! +[2024-05-27 02:47:07,851] - INFO: Eval PSNR (max): 38.253 (3245) SSIM (max): 0.9618 (3030) +[2024-05-27 02:47:07,851] - INFO: Eval PSNR (current): 38.244 (3295) SSIM (current): 0.9617 (3295) +[2024-05-27 02:47:07,851] - INFO: Evaluation over. +[2024-05-27 02:47:28,272] - INFO: Epoch 3296/9999, Iter 329520: Loss = 0.019914569333195686, lr = [1.25e-05] +[2024-05-27 02:47:55,491] - INFO: Epoch 3296/9999, Iter 329560: Loss = 0.014411233365535736, lr = [1.25e-05] +[2024-05-27 02:48:24,033] - INFO: Epoch 3297/9999, Iter 329600: Loss = 0.016879448667168617, lr = [1.25e-05] +[2024-05-27 02:48:51,246] - INFO: Epoch 3297/9999, Iter 329640: Loss = 0.010025376453995705, lr = [1.25e-05] +[2024-05-27 02:49:18,382] - INFO: Epoch 3297/9999, Iter 329680: Loss = 0.011549514718353748, lr = [1.25e-05] +[2024-05-27 02:49:47,035] - INFO: Epoch 3298/9999, Iter 329720: Loss = 0.01799887791275978, lr = [1.25e-05] +[2024-05-27 02:50:14,222] - INFO: Epoch 3298/9999, Iter 329760: Loss = 0.01110139675438404, lr = [1.25e-05] +[2024-05-27 02:50:42,667] - INFO: Epoch 3299/9999, Iter 329800: Loss = 0.016170181334018707, lr = [1.25e-05] +[2024-05-27 02:51:09,985] - INFO: Epoch 3299/9999, Iter 329840: Loss = 0.009588174521923065, lr = [1.25e-05] +[2024-05-27 02:51:37,179] - INFO: Epoch 3299/9999, Iter 329880: Loss = 0.017647096887230873, lr = [1.25e-05] +[2024-05-27 02:52:05,818] - INFO: Epoch 3300/9999, Iter 329920: Loss = 0.010157900862395763, lr = [1.25e-05] +[2024-05-27 02:52:32,950] - INFO: Epoch 3300/9999, Iter 329960: Loss = 0.02210083231329918, lr = [1.25e-05] +[2024-05-27 02:52:59,832] - INFO: Evaluate at epoch 3300! +[2024-05-27 02:53:04,509] - INFO: Eval PSNR (max): 38.253 (3245) SSIM (max): 0.9618 (3030) +[2024-05-27 02:53:04,509] - INFO: Eval PSNR (current): 38.227 (3300) SSIM (current): 0.9617 (3300) +[2024-05-27 02:53:04,509] - INFO: Evaluation over. +[2024-05-27 02:53:11,428] - INFO: Epoch 3301/9999, Iter 330000: Loss = 0.017111804336309433, lr = [1.25e-05] +[2024-05-27 02:53:38,607] - INFO: Epoch 3301/9999, Iter 330040: Loss = 0.020077800378203392, lr = [1.25e-05] +[2024-05-27 02:54:05,810] - INFO: Epoch 3301/9999, Iter 330080: Loss = 0.014323661103844643, lr = [1.25e-05] +[2024-05-27 02:54:34,642] - INFO: Epoch 3302/9999, Iter 330120: Loss = 0.015985487028956413, lr = [1.25e-05] +[2024-05-27 02:55:01,846] - INFO: Epoch 3302/9999, Iter 330160: Loss = 0.02265559509396553, lr = [1.25e-05] +[2024-05-27 02:55:30,497] - INFO: Epoch 3303/9999, Iter 330200: Loss = 0.013386688195168972, lr = [1.25e-05] +[2024-05-27 02:55:57,767] - INFO: Epoch 3303/9999, Iter 330240: Loss = 0.01585022360086441, lr = [1.25e-05] +[2024-05-27 02:56:24,927] - INFO: Epoch 3303/9999, Iter 330280: Loss = 0.007260824088007212, lr = [1.25e-05] +[2024-05-27 02:56:53,662] - INFO: Epoch 3304/9999, Iter 330320: Loss = 0.014998882077634335, lr = [1.25e-05] +[2024-05-27 02:57:20,898] - INFO: Epoch 3304/9999, Iter 330360: Loss = 0.005263123195618391, lr = [1.25e-05] +[2024-05-27 02:57:49,530] - INFO: Epoch 3305/9999, Iter 330400: Loss = 0.009637229144573212, lr = [1.25e-05] +[2024-05-27 02:58:16,835] - INFO: Epoch 3305/9999, Iter 330440: Loss = 0.012289362959563732, lr = [1.25e-05] +[2024-05-27 02:58:44,008] - INFO: Epoch 3305/9999, Iter 330480: Loss = 0.0128843504935503, lr = [1.25e-05] +[2024-05-27 02:58:57,319] - INFO: Evaluate at epoch 3305! +[2024-05-27 02:59:02,015] - INFO: Eval PSNR (max): 38.253 (3245) SSIM (max): 0.9618 (3030) +[2024-05-27 02:59:02,015] - INFO: Eval PSNR (current): 38.245 (3305) SSIM (current): 0.9617 (3305) +[2024-05-27 02:59:02,015] - INFO: Evaluation over. +[2024-05-27 02:59:22,750] - INFO: Epoch 3306/9999, Iter 330520: Loss = 0.02050163596868515, lr = [1.25e-05] +[2024-05-27 02:59:49,959] - INFO: Epoch 3306/9999, Iter 330560: Loss = 0.009957683272659779, lr = [1.25e-05] +[2024-05-27 03:00:18,388] - INFO: Epoch 3307/9999, Iter 330600: Loss = 0.016361786052584648, lr = [1.25e-05] +[2024-05-27 03:00:45,737] - INFO: Epoch 3307/9999, Iter 330640: Loss = 0.011576707474887371, lr = [1.25e-05] +[2024-05-27 03:01:12,990] - INFO: Epoch 3307/9999, Iter 330680: Loss = 0.011359603144228458, lr = [1.25e-05] +[2024-05-27 03:01:41,606] - INFO: Epoch 3308/9999, Iter 330720: Loss = 0.012691991403698921, lr = [1.25e-05] +[2024-05-27 03:02:08,867] - INFO: Epoch 3308/9999, Iter 330760: Loss = 0.024359114468097687, lr = [1.25e-05] +[2024-05-27 03:02:37,536] - INFO: Epoch 3309/9999, Iter 330800: Loss = 0.009935397654771805, lr = [1.25e-05] +[2024-05-27 03:03:04,844] - INFO: Epoch 3309/9999, Iter 330840: Loss = 0.010938422754406929, lr = [1.25e-05] +[2024-05-27 03:03:32,003] - INFO: Epoch 3309/9999, Iter 330880: Loss = 0.007009189575910568, lr = [1.25e-05] +[2024-05-27 03:04:00,791] - INFO: Epoch 3310/9999, Iter 330920: Loss = 0.013598114252090454, lr = [1.25e-05] +[2024-05-27 03:04:27,945] - INFO: Epoch 3310/9999, Iter 330960: Loss = 0.010031257756054401, lr = [1.25e-05] +[2024-05-27 03:04:54,835] - INFO: Evaluate at epoch 3310! +[2024-05-27 03:04:59,309] - INFO: Eval PSNR (max): 38.253 (3245) SSIM (max): 0.9618 (3030) +[2024-05-27 03:04:59,309] - INFO: Eval PSNR (current): 38.243 (3310) SSIM (current): 0.9617 (3310) +[2024-05-27 03:04:59,309] - INFO: Evaluation over. +[2024-05-27 03:05:06,048] - INFO: Epoch 3311/9999, Iter 331000: Loss = 0.014878962188959122, lr = [1.25e-05] +[2024-05-27 03:05:33,384] - INFO: Epoch 3311/9999, Iter 331040: Loss = 0.007469381671398878, lr = [1.25e-05] +[2024-05-27 03:06:00,622] - INFO: Epoch 3311/9999, Iter 331080: Loss = 0.015677567571401596, lr = [1.25e-05] +[2024-05-27 03:06:29,202] - INFO: Epoch 3312/9999, Iter 331120: Loss = 0.00847137812525034, lr = [1.25e-05] +[2024-05-27 03:06:56,391] - INFO: Epoch 3312/9999, Iter 331160: Loss = 0.012235121801495552, lr = [1.25e-05] +[2024-05-27 03:07:24,989] - INFO: Epoch 3313/9999, Iter 331200: Loss = 0.007787606213241816, lr = [1.25e-05] +[2024-05-27 03:07:52,308] - INFO: Epoch 3313/9999, Iter 331240: Loss = 0.012593580409884453, lr = [1.25e-05] +[2024-05-27 03:08:19,512] - INFO: Epoch 3313/9999, Iter 331280: Loss = 0.009822536259889603, lr = [1.25e-05] +[2024-05-27 03:08:48,418] - INFO: Epoch 3314/9999, Iter 331320: Loss = 0.012508435174822807, lr = [1.25e-05] +[2024-05-27 03:09:15,589] - INFO: Epoch 3314/9999, Iter 331360: Loss = 0.016602734103798866, lr = [1.25e-05] +[2024-05-27 03:09:44,077] - INFO: Epoch 3315/9999, Iter 331400: Loss = 0.01362414937466383, lr = [1.25e-05] +[2024-05-27 03:10:11,410] - INFO: Epoch 3315/9999, Iter 331440: Loss = 0.00703028030693531, lr = [1.25e-05] +[2024-05-27 03:10:38,557] - INFO: Epoch 3315/9999, Iter 331480: Loss = 0.008278749883174896, lr = [1.25e-05] +[2024-05-27 03:10:51,831] - INFO: Evaluate at epoch 3315! +[2024-05-27 03:10:56,443] - INFO: Eval PSNR (max): 38.253 (3245) SSIM (max): 0.9618 (3030) +[2024-05-27 03:10:56,443] - INFO: Eval PSNR (current): 38.237 (3315) SSIM (current): 0.9617 (3315) +[2024-05-27 03:10:56,443] - INFO: Evaluation over. +[2024-05-27 03:11:16,818] - INFO: Epoch 3316/9999, Iter 331520: Loss = 0.01592002436518669, lr = [1.25e-05] +[2024-05-27 03:11:43,991] - INFO: Epoch 3316/9999, Iter 331560: Loss = 0.013359913602471352, lr = [1.25e-05] +[2024-05-27 03:12:12,644] - INFO: Epoch 3317/9999, Iter 331600: Loss = 0.009582371450960636, lr = [1.25e-05] +[2024-05-27 03:12:39,952] - INFO: Epoch 3317/9999, Iter 331640: Loss = 0.015774691477417946, lr = [1.25e-05] +[2024-05-27 03:13:07,160] - INFO: Epoch 3317/9999, Iter 331680: Loss = 0.013138552196323872, lr = [1.25e-05] +[2024-05-27 03:13:35,788] - INFO: Epoch 3318/9999, Iter 331720: Loss = 0.006896187551319599, lr = [1.25e-05] +[2024-05-27 03:14:02,977] - INFO: Epoch 3318/9999, Iter 331760: Loss = 0.004741967655718327, lr = [1.25e-05] +[2024-05-27 03:14:31,713] - INFO: Epoch 3319/9999, Iter 331800: Loss = 0.01805955171585083, lr = [1.25e-05] +[2024-05-27 03:14:59,017] - INFO: Epoch 3319/9999, Iter 331840: Loss = 0.011105716228485107, lr = [1.25e-05] +[2024-05-27 03:15:26,250] - INFO: Epoch 3319/9999, Iter 331880: Loss = 0.018209492787718773, lr = [1.25e-05] +[2024-05-27 03:15:54,813] - INFO: Epoch 3320/9999, Iter 331920: Loss = 0.01876520924270153, lr = [1.25e-05] +[2024-05-27 03:16:22,023] - INFO: Epoch 3320/9999, Iter 331960: Loss = 0.010416415520012379, lr = [1.25e-05] +[2024-05-27 03:16:48,975] - INFO: Evaluate at epoch 3320! +[2024-05-27 03:16:53,623] - INFO: Eval PSNR (max): 38.253 (3245) SSIM (max): 0.9618 (3030) +[2024-05-27 03:16:53,623] - INFO: Eval PSNR (current): 38.238 (3320) SSIM (current): 0.9617 (3320) +[2024-05-27 03:16:53,623] - INFO: Evaluation over. +[2024-05-27 03:17:00,468] - INFO: Epoch 3321/9999, Iter 332000: Loss = 0.006638471968472004, lr = [1.25e-05] +[2024-05-27 03:17:27,906] - INFO: Epoch 3321/9999, Iter 332040: Loss = 0.012551446445286274, lr = [1.25e-05] +[2024-05-27 03:17:55,067] - INFO: Epoch 3321/9999, Iter 332080: Loss = 0.017537090927362442, lr = [1.25e-05] +[2024-05-27 03:18:23,794] - INFO: Epoch 3322/9999, Iter 332120: Loss = 0.0126109654083848, lr = [1.25e-05] +[2024-05-27 03:18:51,050] - INFO: Epoch 3322/9999, Iter 332160: Loss = 0.008846144191920757, lr = [1.25e-05] +[2024-05-27 03:19:19,841] - INFO: Epoch 3323/9999, Iter 332200: Loss = 0.009441979229450226, lr = [1.25e-05] +[2024-05-27 03:19:47,153] - INFO: Epoch 3323/9999, Iter 332240: Loss = 0.005081575363874435, lr = [1.25e-05] +[2024-05-27 03:20:14,312] - INFO: Epoch 3323/9999, Iter 332280: Loss = 0.00782905425876379, lr = [1.25e-05] +[2024-05-27 03:20:42,842] - INFO: Epoch 3324/9999, Iter 332320: Loss = 0.0181120652705431, lr = [1.25e-05] +[2024-05-27 03:21:10,138] - INFO: Epoch 3324/9999, Iter 332360: Loss = 0.008704187348484993, lr = [1.25e-05] +[2024-05-27 03:21:38,777] - INFO: Epoch 3325/9999, Iter 332400: Loss = 0.014171571470797062, lr = [1.25e-05] +[2024-05-27 03:22:06,041] - INFO: Epoch 3325/9999, Iter 332440: Loss = 0.013423244468867779, lr = [1.25e-05] +[2024-05-27 03:22:33,234] - INFO: Epoch 3325/9999, Iter 332480: Loss = 0.011643828824162483, lr = [1.25e-05] +[2024-05-27 03:22:46,535] - INFO: Evaluate at epoch 3325! +[2024-05-27 03:22:51,075] - INFO: Eval PSNR (max): 38.253 (3245) SSIM (max): 0.9618 (3030) +[2024-05-27 03:22:51,076] - INFO: Eval PSNR (current): 38.229 (3325) SSIM (current): 0.9617 (3325) +[2024-05-27 03:22:51,076] - INFO: Evaluation over. +[2024-05-27 03:23:11,478] - INFO: Epoch 3326/9999, Iter 332520: Loss = 0.009620225057005882, lr = [1.25e-05] +[2024-05-27 03:23:38,736] - INFO: Epoch 3326/9999, Iter 332560: Loss = 0.010743816383183002, lr = [1.25e-05] +[2024-05-27 03:24:07,278] - INFO: Epoch 3327/9999, Iter 332600: Loss = 0.010229730978608131, lr = [1.25e-05] +[2024-05-27 03:24:34,682] - INFO: Epoch 3327/9999, Iter 332640: Loss = 0.022808745503425598, lr = [1.25e-05] +[2024-05-27 03:25:01,820] - INFO: Epoch 3327/9999, Iter 332680: Loss = 0.006447156425565481, lr = [1.25e-05] +[2024-05-27 03:25:30,575] - INFO: Epoch 3328/9999, Iter 332720: Loss = 0.009846468456089497, lr = [1.25e-05] +[2024-05-27 03:25:57,850] - INFO: Epoch 3328/9999, Iter 332760: Loss = 0.005893318448215723, lr = [1.25e-05] +[2024-05-27 03:26:26,349] - INFO: Epoch 3329/9999, Iter 332800: Loss = 0.014733158983290195, lr = [1.25e-05] +[2024-05-27 03:26:53,686] - INFO: Epoch 3329/9999, Iter 332840: Loss = 0.013924670405685902, lr = [1.25e-05] +[2024-05-27 03:27:20,843] - INFO: Epoch 3329/9999, Iter 332880: Loss = 0.010416083037853241, lr = [1.25e-05] +[2024-05-27 03:27:49,619] - INFO: Epoch 3330/9999, Iter 332920: Loss = 0.008764947764575481, lr = [1.25e-05] +[2024-05-27 03:28:16,845] - INFO: Epoch 3330/9999, Iter 332960: Loss = 0.015557865612208843, lr = [1.25e-05] +[2024-05-27 03:28:43,694] - INFO: Evaluate at epoch 3330! +[2024-05-27 03:28:48,282] - INFO: Eval PSNR (max): 38.253 (3245) SSIM (max): 0.9618 (3030) +[2024-05-27 03:28:48,282] - INFO: Eval PSNR (current): 38.222 (3330) SSIM (current): 0.9617 (3330) +[2024-05-27 03:28:48,282] - INFO: Evaluation over. +[2024-05-27 03:28:55,581] - INFO: Epoch 3331/9999, Iter 333000: Loss = 0.009643805213272572, lr = [1.25e-05] +[2024-05-27 03:29:22,960] - INFO: Epoch 3331/9999, Iter 333040: Loss = 0.013558272272348404, lr = [1.25e-05] +[2024-05-27 03:29:50,174] - INFO: Epoch 3331/9999, Iter 333080: Loss = 0.0066602504812181, lr = [1.25e-05] +[2024-05-27 03:30:18,754] - INFO: Epoch 3332/9999, Iter 333120: Loss = 0.010916699655354023, lr = [1.25e-05] +[2024-05-27 03:30:46,000] - INFO: Epoch 3332/9999, Iter 333160: Loss = 0.014233270660042763, lr = [1.25e-05] +[2024-05-27 03:31:14,686] - INFO: Epoch 3333/9999, Iter 333200: Loss = 0.020604368299245834, lr = [1.25e-05] +[2024-05-27 03:31:41,993] - INFO: Epoch 3333/9999, Iter 333240: Loss = 0.007146434858441353, lr = [1.25e-05] +[2024-05-27 03:32:09,172] - INFO: Epoch 3333/9999, Iter 333280: Loss = 0.008706631138920784, lr = [1.25e-05] +[2024-05-27 03:32:37,814] - INFO: Epoch 3334/9999, Iter 333320: Loss = 0.0096104322001338, lr = [1.25e-05] +[2024-05-27 03:33:05,020] - INFO: Epoch 3334/9999, Iter 333360: Loss = 0.009985528886318207, lr = [1.25e-05] +[2024-05-27 03:33:33,431] - INFO: Epoch 3335/9999, Iter 333400: Loss = 0.014172988012433052, lr = [1.25e-05] +[2024-05-27 03:34:00,771] - INFO: Epoch 3335/9999, Iter 333440: Loss = 0.007593967951834202, lr = [1.25e-05] +[2024-05-27 03:34:27,943] - INFO: Epoch 3335/9999, Iter 333480: Loss = 0.008878935128450394, lr = [1.25e-05] +[2024-05-27 03:34:41,183] - INFO: Evaluate at epoch 3335! +[2024-05-27 03:34:45,646] - INFO: Eval PSNR (max): 38.253 (3245) SSIM (max): 0.9618 (3030) +[2024-05-27 03:34:45,646] - INFO: Eval PSNR (current): 38.242 (3335) SSIM (current): 0.9617 (3335) +[2024-05-27 03:34:45,646] - INFO: Evaluation over. +[2024-05-27 03:35:06,172] - INFO: Epoch 3336/9999, Iter 333520: Loss = 0.013462400063872337, lr = [1.25e-05] +[2024-05-27 03:35:33,376] - INFO: Epoch 3336/9999, Iter 333560: Loss = 0.01695401407778263, lr = [1.25e-05] +[2024-05-27 03:36:01,833] - INFO: Epoch 3337/9999, Iter 333600: Loss = 0.01884683407843113, lr = [1.25e-05] +[2024-05-27 03:36:29,201] - INFO: Epoch 3337/9999, Iter 333640: Loss = 0.016788654029369354, lr = [1.25e-05] +[2024-05-27 03:36:56,398] - INFO: Epoch 3337/9999, Iter 333680: Loss = 0.007957883179187775, lr = [1.25e-05] +[2024-05-27 03:37:24,953] - INFO: Epoch 3338/9999, Iter 333720: Loss = 0.010984335094690323, lr = [1.25e-05] +[2024-05-27 03:37:54,303] - INFO: Epoch 3338/9999, Iter 333760: Loss = 0.008209710009396076, lr = [1.25e-05] +[2024-05-27 03:38:28,841] - INFO: Epoch 3339/9999, Iter 333800: Loss = 0.012004868127405643, lr = [1.25e-05] +[2024-05-27 03:38:57,586] - INFO: Epoch 3339/9999, Iter 333840: Loss = 0.007540114689618349, lr = [1.25e-05] +[2024-05-27 03:39:24,839] - INFO: Epoch 3339/9999, Iter 333880: Loss = 0.015153932385146618, lr = [1.25e-05] +[2024-05-27 03:40:02,552] - INFO: Epoch 3340/9999, Iter 333920: Loss = 0.013173114508390427, lr = [1.25e-05] +[2024-05-27 03:40:29,759] - INFO: Epoch 3340/9999, Iter 333960: Loss = 0.006951056886464357, lr = [1.25e-05] +[2024-05-27 03:40:59,300] - INFO: Evaluate at epoch 3340! +[2024-05-27 03:41:04,092] - INFO: Eval PSNR (max): 38.253 (3245) SSIM (max): 0.9618 (3030) +[2024-05-27 03:41:04,092] - INFO: Eval PSNR (current): 38.245 (3340) SSIM (current): 0.9617 (3340) +[2024-05-27 03:41:04,092] - INFO: Evaluation over. +[2024-05-27 03:41:11,044] - INFO: Epoch 3341/9999, Iter 334000: Loss = 0.013302329927682877, lr = [1.25e-05] +[2024-05-27 03:41:38,416] - INFO: Epoch 3341/9999, Iter 334040: Loss = 0.006727882660925388, lr = [1.25e-05] +[2024-05-27 03:42:05,899] - INFO: Epoch 3341/9999, Iter 334080: Loss = 0.009258215315639973, lr = [1.25e-05] +[2024-05-27 03:42:35,050] - INFO: Epoch 3342/9999, Iter 334120: Loss = 0.014863396063446999, lr = [1.25e-05] +[2024-05-27 03:43:03,000] - INFO: Epoch 3342/9999, Iter 334160: Loss = 0.007879394106566906, lr = [1.25e-05] +[2024-05-27 03:43:31,920] - INFO: Epoch 3343/9999, Iter 334200: Loss = 0.01331394910812378, lr = [1.25e-05] +[2024-05-27 03:43:59,822] - INFO: Epoch 3343/9999, Iter 334240: Loss = 0.01319607812911272, lr = [1.25e-05] +[2024-05-27 03:44:27,139] - INFO: Epoch 3343/9999, Iter 334280: Loss = 0.0076154544949531555, lr = [1.25e-05] +[2024-05-27 03:44:57,949] - INFO: Epoch 3344/9999, Iter 334320: Loss = 0.015481207519769669, lr = [1.25e-05] +[2024-05-27 03:45:25,165] - INFO: Epoch 3344/9999, Iter 334360: Loss = 0.01223716326057911, lr = [1.25e-05] +[2024-05-27 03:45:54,529] - INFO: Epoch 3345/9999, Iter 334400: Loss = 0.009743977338075638, lr = [1.25e-05] +[2024-05-27 03:46:21,815] - INFO: Epoch 3345/9999, Iter 334440: Loss = 0.015991153195500374, lr = [1.25e-05] +[2024-05-27 03:46:49,018] - INFO: Epoch 3345/9999, Iter 334480: Loss = 0.017203591763973236, lr = [1.25e-05] +[2024-05-27 03:47:02,273] - INFO: Evaluate at epoch 3345! +[2024-05-27 03:47:06,977] - INFO: Eval PSNR (max): 38.253 (3245) SSIM (max): 0.9618 (3030) +[2024-05-27 03:47:06,977] - INFO: Eval PSNR (current): 38.248 (3345) SSIM (current): 0.9617 (3345) +[2024-05-27 03:47:06,977] - INFO: Evaluation over. +[2024-05-27 03:47:28,022] - INFO: Epoch 3346/9999, Iter 334520: Loss = 0.011814676225185394, lr = [1.25e-05] +[2024-05-27 03:47:55,214] - INFO: Epoch 3346/9999, Iter 334560: Loss = 0.013401331380009651, lr = [1.25e-05] +[2024-05-27 03:48:23,752] - INFO: Epoch 3347/9999, Iter 334600: Loss = 0.013953314162790775, lr = [1.25e-05] +[2024-05-27 03:48:51,154] - INFO: Epoch 3347/9999, Iter 334640: Loss = 0.015449998900294304, lr = [1.25e-05] +[2024-05-27 03:49:18,291] - INFO: Epoch 3347/9999, Iter 334680: Loss = 0.012849218212068081, lr = [1.25e-05] +[2024-05-27 03:49:46,949] - INFO: Epoch 3348/9999, Iter 334720: Loss = 0.009750095196068287, lr = [1.25e-05] +[2024-05-27 03:50:14,150] - INFO: Epoch 3348/9999, Iter 334760: Loss = 0.019805096089839935, lr = [1.25e-05] +[2024-05-27 03:50:43,013] - INFO: Epoch 3349/9999, Iter 334800: Loss = 0.00620465911924839, lr = [1.25e-05] +[2024-05-27 03:51:10,230] - INFO: Epoch 3349/9999, Iter 334840: Loss = 0.010138832032680511, lr = [1.25e-05] +[2024-05-27 03:51:37,418] - INFO: Epoch 3349/9999, Iter 334880: Loss = 0.0157620832324028, lr = [1.25e-05] +[2024-05-27 03:52:05,995] - INFO: Epoch 3350/9999, Iter 334920: Loss = 0.009981147013604641, lr = [1.25e-05] +[2024-05-27 03:52:33,174] - INFO: Epoch 3350/9999, Iter 334960: Loss = 0.010599685832858086, lr = [1.25e-05] +[2024-05-27 03:53:00,090] - INFO: Evaluate at epoch 3350! +[2024-05-27 03:53:04,764] - INFO: Eval PSNR (max): 38.253 (3245) SSIM (max): 0.9618 (3030) +[2024-05-27 03:53:04,764] - INFO: Eval PSNR (current): 38.246 (3350) SSIM (current): 0.9617 (3350) +[2024-05-27 03:53:04,764] - INFO: Evaluation over. +[2024-05-27 03:53:11,700] - INFO: Epoch 3351/9999, Iter 335000: Loss = 0.007332273293286562, lr = [1.25e-05] +[2024-05-27 03:53:38,938] - INFO: Epoch 3351/9999, Iter 335040: Loss = 0.009161485359072685, lr = [1.25e-05] +[2024-05-27 03:54:06,122] - INFO: Epoch 3351/9999, Iter 335080: Loss = 0.014515317045152187, lr = [1.25e-05] +[2024-05-27 03:54:34,895] - INFO: Epoch 3352/9999, Iter 335120: Loss = 0.007705505471676588, lr = [1.25e-05] +[2024-05-27 03:55:02,075] - INFO: Epoch 3352/9999, Iter 335160: Loss = 0.01324463076889515, lr = [1.25e-05] +[2024-05-27 03:55:30,669] - INFO: Epoch 3353/9999, Iter 335200: Loss = 0.01498898770660162, lr = [1.25e-05] +[2024-05-27 03:55:57,911] - INFO: Epoch 3353/9999, Iter 335240: Loss = 0.009655195288360119, lr = [1.25e-05] +[2024-05-27 03:56:25,170] - INFO: Epoch 3353/9999, Iter 335280: Loss = 0.00889758300036192, lr = [1.25e-05] +[2024-05-27 03:56:53,902] - INFO: Epoch 3354/9999, Iter 335320: Loss = 0.01215367391705513, lr = [1.25e-05] +[2024-05-27 03:57:21,050] - INFO: Epoch 3354/9999, Iter 335360: Loss = 0.0064910463988780975, lr = [1.25e-05] +[2024-05-27 03:57:49,776] - INFO: Epoch 3355/9999, Iter 335400: Loss = 0.014948553405702114, lr = [1.25e-05] +[2024-05-27 03:58:17,092] - INFO: Epoch 3355/9999, Iter 335440: Loss = 0.008638649247586727, lr = [1.25e-05] +[2024-05-27 03:58:44,278] - INFO: Epoch 3355/9999, Iter 335480: Loss = 0.021113239228725433, lr = [1.25e-05] +[2024-05-27 03:58:57,567] - INFO: Evaluate at epoch 3355! +[2024-05-27 03:59:02,267] - INFO: Eval PSNR (max): 38.253 (3245) SSIM (max): 0.9618 (3030) +[2024-05-27 03:59:02,267] - INFO: Eval PSNR (current): 38.226 (3355) SSIM (current): 0.9617 (3355) +[2024-05-27 03:59:02,267] - INFO: Evaluation over. +[2024-05-27 03:59:22,738] - INFO: Epoch 3356/9999, Iter 335520: Loss = 0.009252850897610188, lr = [1.25e-05] +[2024-05-27 03:59:49,976] - INFO: Epoch 3356/9999, Iter 335560: Loss = 0.012004961259663105, lr = [1.25e-05] +[2024-05-27 04:00:18,582] - INFO: Epoch 3357/9999, Iter 335600: Loss = 0.01314535178244114, lr = [1.25e-05] +[2024-05-27 04:00:45,846] - INFO: Epoch 3357/9999, Iter 335640: Loss = 0.007643085904419422, lr = [1.25e-05] +[2024-05-27 04:01:13,038] - INFO: Epoch 3357/9999, Iter 335680: Loss = 0.008409672416746616, lr = [1.25e-05] +[2024-05-27 04:01:41,738] - INFO: Epoch 3358/9999, Iter 335720: Loss = 0.007270560599863529, lr = [1.25e-05] +[2024-05-27 04:02:08,944] - INFO: Epoch 3358/9999, Iter 335760: Loss = 0.017026381567120552, lr = [1.25e-05] +[2024-05-27 04:02:37,620] - INFO: Epoch 3359/9999, Iter 335800: Loss = 0.005584651604294777, lr = [1.25e-05] +[2024-05-27 04:03:04,908] - INFO: Epoch 3359/9999, Iter 335840: Loss = 0.014340989291667938, lr = [1.25e-05] +[2024-05-27 04:03:32,065] - INFO: Epoch 3359/9999, Iter 335880: Loss = 0.012793046422302723, lr = [1.25e-05] +[2024-05-27 04:04:00,813] - INFO: Epoch 3360/9999, Iter 335920: Loss = 0.016072584316134453, lr = [1.25e-05] +[2024-05-27 04:04:27,954] - INFO: Epoch 3360/9999, Iter 335960: Loss = 0.006773684173822403, lr = [1.25e-05] +[2024-05-27 04:04:54,937] - INFO: Evaluate at epoch 3360! +[2024-05-27 04:04:59,658] - INFO: Eval PSNR (max): 38.253 (3245) SSIM (max): 0.9618 (3030) +[2024-05-27 04:04:59,659] - INFO: Eval PSNR (current): 38.241 (3360) SSIM (current): 0.9617 (3360) +[2024-05-27 04:04:59,659] - INFO: Evaluation over. +[2024-05-27 04:05:06,468] - INFO: Epoch 3361/9999, Iter 336000: Loss = 0.013898522593080997, lr = [1.25e-05] +[2024-05-27 04:05:33,706] - INFO: Epoch 3361/9999, Iter 336040: Loss = 0.017802942544221878, lr = [1.25e-05] +[2024-05-27 04:06:00,881] - INFO: Epoch 3361/9999, Iter 336080: Loss = 0.011708671227097511, lr = [1.25e-05] +[2024-05-27 04:06:29,458] - INFO: Epoch 3362/9999, Iter 336120: Loss = 0.015162253752350807, lr = [1.25e-05] +[2024-05-27 04:06:56,662] - INFO: Epoch 3362/9999, Iter 336160: Loss = 0.01705428957939148, lr = [1.25e-05] +[2024-05-27 04:07:25,197] - INFO: Epoch 3363/9999, Iter 336200: Loss = 0.012957487255334854, lr = [1.25e-05] +[2024-05-27 04:07:52,467] - INFO: Epoch 3363/9999, Iter 336240: Loss = 0.010713554918766022, lr = [1.25e-05] +[2024-05-27 04:08:19,683] - INFO: Epoch 3363/9999, Iter 336280: Loss = 0.01230656448751688, lr = [1.25e-05] +[2024-05-27 04:08:48,410] - INFO: Epoch 3364/9999, Iter 336320: Loss = 0.010251280851662159, lr = [1.25e-05] +[2024-05-27 04:09:15,555] - INFO: Epoch 3364/9999, Iter 336360: Loss = 0.00874234177172184, lr = [1.25e-05] +[2024-05-27 04:09:43,862] - INFO: Epoch 3365/9999, Iter 336400: Loss = 0.012510308995842934, lr = [1.25e-05] +[2024-05-27 04:10:11,093] - INFO: Epoch 3365/9999, Iter 336440: Loss = 0.011031875386834145, lr = [1.25e-05] +[2024-05-27 04:10:38,294] - INFO: Epoch 3365/9999, Iter 336480: Loss = 0.012558604590594769, lr = [1.25e-05] +[2024-05-27 04:10:51,701] - INFO: Evaluate at epoch 3365! +[2024-05-27 04:10:56,268] - INFO: Eval PSNR (max): 38.253 (3245) SSIM (max): 0.9618 (3030) +[2024-05-27 04:10:56,269] - INFO: Eval PSNR (current): 38.237 (3365) SSIM (current): 0.9617 (3365) +[2024-05-27 04:10:56,269] - INFO: Evaluation over. +[2024-05-27 04:11:16,493] - INFO: Epoch 3366/9999, Iter 336520: Loss = 0.010254871100187302, lr = [1.25e-05] +[2024-05-27 04:11:43,666] - INFO: Epoch 3366/9999, Iter 336560: Loss = 0.01573660783469677, lr = [1.25e-05] +[2024-05-27 04:12:12,336] - INFO: Epoch 3367/9999, Iter 336600: Loss = 0.00648254482075572, lr = [1.25e-05] +[2024-05-27 04:12:39,592] - INFO: Epoch 3367/9999, Iter 336640: Loss = 0.005819774232804775, lr = [1.25e-05] +[2024-05-27 04:13:06,806] - INFO: Epoch 3367/9999, Iter 336680: Loss = 0.008566374890506268, lr = [1.25e-05] +[2024-05-27 04:13:35,600] - INFO: Epoch 3368/9999, Iter 336720: Loss = 0.010055712424218655, lr = [1.25e-05] +[2024-05-27 04:14:02,770] - INFO: Epoch 3368/9999, Iter 336760: Loss = 0.009147368371486664, lr = [1.25e-05] +[2024-05-27 04:14:31,233] - INFO: Epoch 3369/9999, Iter 336800: Loss = 0.008483449928462505, lr = [1.25e-05] +[2024-05-27 04:14:58,550] - INFO: Epoch 3369/9999, Iter 336840: Loss = 0.01716778613626957, lr = [1.25e-05] +[2024-05-27 04:15:25,732] - INFO: Epoch 3369/9999, Iter 336880: Loss = 0.010656272061169147, lr = [1.25e-05] +[2024-05-27 04:15:54,235] - INFO: Epoch 3370/9999, Iter 336920: Loss = 0.015045462176203728, lr = [1.25e-05] +[2024-05-27 04:16:21,457] - INFO: Epoch 3370/9999, Iter 336960: Loss = 0.023763813078403473, lr = [1.25e-05] +[2024-05-27 04:16:48,295] - INFO: Evaluate at epoch 3370! +[2024-05-27 04:16:53,079] - INFO: Eval PSNR (max): 38.253 (3245) SSIM (max): 0.9618 (3030) +[2024-05-27 04:16:53,079] - INFO: Eval PSNR (current): 38.235 (3370) SSIM (current): 0.9617 (3370) +[2024-05-27 04:16:53,080] - INFO: Evaluation over. +[2024-05-27 04:16:59,961] - INFO: Epoch 3371/9999, Iter 337000: Loss = 0.015847088769078255, lr = [1.25e-05] +[2024-05-27 04:17:27,260] - INFO: Epoch 3371/9999, Iter 337040: Loss = 0.00747585529461503, lr = [1.25e-05] +[2024-05-27 04:17:54,477] - INFO: Epoch 3371/9999, Iter 337080: Loss = 0.01023842766880989, lr = [1.25e-05] +[2024-05-27 04:18:23,054] - INFO: Epoch 3372/9999, Iter 337120: Loss = 0.015085221268236637, lr = [1.25e-05] +[2024-05-27 04:18:50,262] - INFO: Epoch 3372/9999, Iter 337160: Loss = 0.014067406766116619, lr = [1.25e-05] +[2024-05-27 04:19:18,745] - INFO: Epoch 3373/9999, Iter 337200: Loss = 0.016582772135734558, lr = [1.25e-05] +[2024-05-27 04:19:46,045] - INFO: Epoch 3373/9999, Iter 337240: Loss = 0.014111535623669624, lr = [1.25e-05] +[2024-05-27 04:20:13,260] - INFO: Epoch 3373/9999, Iter 337280: Loss = 0.01146998442709446, lr = [1.25e-05] +[2024-05-27 04:20:41,790] - INFO: Epoch 3374/9999, Iter 337320: Loss = 0.012018081732094288, lr = [1.25e-05] +[2024-05-27 04:21:09,004] - INFO: Epoch 3374/9999, Iter 337360: Loss = 0.01939266361296177, lr = [1.25e-05] +[2024-05-27 04:21:37,580] - INFO: Epoch 3375/9999, Iter 337400: Loss = 0.010584884323179722, lr = [1.25e-05] +[2024-05-27 04:22:04,862] - INFO: Epoch 3375/9999, Iter 337440: Loss = 0.017854472622275352, lr = [1.25e-05] +[2024-05-27 04:22:32,112] - INFO: Epoch 3375/9999, Iter 337480: Loss = 0.011969005689024925, lr = [1.25e-05] +[2024-05-27 04:22:45,381] - INFO: Evaluate at epoch 3375! +[2024-05-27 04:22:50,077] - INFO: Eval PSNR (max): 38.253 (3245) SSIM (max): 0.9618 (3030) +[2024-05-27 04:22:50,078] - INFO: Eval PSNR (current): 38.244 (3375) SSIM (current): 0.9617 (3375) +[2024-05-27 04:22:50,078] - INFO: Evaluation over. +[2024-05-27 04:23:10,567] - INFO: Epoch 3376/9999, Iter 337520: Loss = 0.009982673451304436, lr = [1.25e-05] +[2024-05-27 04:23:37,766] - INFO: Epoch 3376/9999, Iter 337560: Loss = 0.014470850117504597, lr = [1.25e-05] +[2024-05-27 04:24:06,552] - INFO: Epoch 3377/9999, Iter 337600: Loss = 0.011931234039366245, lr = [1.25e-05] +[2024-05-27 04:24:33,894] - INFO: Epoch 3377/9999, Iter 337640: Loss = 0.007655009627342224, lr = [1.25e-05] +[2024-05-27 04:25:01,063] - INFO: Epoch 3377/9999, Iter 337680: Loss = 0.007331374567002058, lr = [1.25e-05] +[2024-05-27 04:25:29,730] - INFO: Epoch 3378/9999, Iter 337720: Loss = 0.015513462945818901, lr = [1.25e-05] +[2024-05-27 04:25:56,990] - INFO: Epoch 3378/9999, Iter 337760: Loss = 0.02244102768599987, lr = [1.25e-05] +[2024-05-27 04:26:25,690] - INFO: Epoch 3379/9999, Iter 337800: Loss = 0.010052218101918697, lr = [1.25e-05] +[2024-05-27 04:26:52,950] - INFO: Epoch 3379/9999, Iter 337840: Loss = 0.010611021891236305, lr = [1.25e-05] +[2024-05-27 04:27:20,092] - INFO: Epoch 3379/9999, Iter 337880: Loss = 0.008788881823420525, lr = [1.25e-05] +[2024-05-27 04:27:48,530] - INFO: Epoch 3380/9999, Iter 337920: Loss = 0.010092053562402725, lr = [1.25e-05] +[2024-05-27 04:28:15,808] - INFO: Epoch 3380/9999, Iter 337960: Loss = 0.016580920666456223, lr = [1.25e-05] +[2024-05-27 04:28:42,698] - INFO: Evaluate at epoch 3380! +[2024-05-27 04:28:47,312] - INFO: Eval PSNR (max): 38.253 (3245) SSIM (max): 0.9618 (3030) +[2024-05-27 04:28:47,312] - INFO: Eval PSNR (current): 38.231 (3380) SSIM (current): 0.9617 (3380) +[2024-05-27 04:28:47,312] - INFO: Evaluation over. +[2024-05-27 04:28:54,471] - INFO: Epoch 3381/9999, Iter 338000: Loss = 0.010377033613622189, lr = [1.25e-05] +[2024-05-27 04:29:21,759] - INFO: Epoch 3381/9999, Iter 338040: Loss = 0.007790424861013889, lr = [1.25e-05] +[2024-05-27 04:29:48,974] - INFO: Epoch 3381/9999, Iter 338080: Loss = 0.012532727792859077, lr = [1.25e-05] +[2024-05-27 04:30:17,874] - INFO: Epoch 3382/9999, Iter 338120: Loss = 0.0199729111045599, lr = [1.25e-05] +[2024-05-27 04:30:45,027] - INFO: Epoch 3382/9999, Iter 338160: Loss = 0.009707111865282059, lr = [1.25e-05] +[2024-05-27 04:31:13,583] - INFO: Epoch 3383/9999, Iter 338200: Loss = 0.006700027734041214, lr = [1.25e-05] +[2024-05-27 04:31:40,854] - INFO: Epoch 3383/9999, Iter 338240: Loss = 0.010032810270786285, lr = [1.25e-05] +[2024-05-27 04:32:08,023] - INFO: Epoch 3383/9999, Iter 338280: Loss = 0.016384249553084373, lr = [1.25e-05] +[2024-05-27 04:32:36,586] - INFO: Epoch 3384/9999, Iter 338320: Loss = 0.018297208473086357, lr = [1.25e-05] +[2024-05-27 04:33:03,794] - INFO: Epoch 3384/9999, Iter 338360: Loss = 0.0057461136020720005, lr = [1.25e-05] +[2024-05-27 04:33:32,612] - INFO: Epoch 3385/9999, Iter 338400: Loss = 0.00946645624935627, lr = [1.25e-05] +[2024-05-27 04:33:59,854] - INFO: Epoch 3385/9999, Iter 338440: Loss = 0.009716917760670185, lr = [1.25e-05] +[2024-05-27 04:34:27,018] - INFO: Epoch 3385/9999, Iter 338480: Loss = 0.01053581666201353, lr = [1.25e-05] +[2024-05-27 04:34:40,330] - INFO: Evaluate at epoch 3385! +[2024-05-27 04:34:50,466] - INFO: Eval PSNR (max): 38.253 (3245) SSIM (max): 0.9618 (3385) +[2024-05-27 04:34:50,467] - INFO: Eval PSNR (current): 38.244 (3385) SSIM (current): 0.9618 (3385) +[2024-05-27 04:34:50,467] - INFO: Evaluation over. +[2024-05-27 04:35:10,936] - INFO: Epoch 3386/9999, Iter 338520: Loss = 0.013326429761946201, lr = [1.25e-05] +[2024-05-27 04:35:38,106] - INFO: Epoch 3386/9999, Iter 338560: Loss = 0.012366027571260929, lr = [1.25e-05] +[2024-05-27 04:36:06,669] - INFO: Epoch 3387/9999, Iter 338600: Loss = 0.025781702250242233, lr = [1.25e-05] +[2024-05-27 04:36:33,959] - INFO: Epoch 3387/9999, Iter 338640: Loss = 0.010920263826847076, lr = [1.25e-05] +[2024-05-27 04:37:01,167] - INFO: Epoch 3387/9999, Iter 338680: Loss = 0.009072015061974525, lr = [1.25e-05] +[2024-05-27 04:37:29,806] - INFO: Epoch 3388/9999, Iter 338720: Loss = 0.014050925150513649, lr = [1.25e-05] +[2024-05-27 04:37:56,977] - INFO: Epoch 3388/9999, Iter 338760: Loss = 0.014842898584902287, lr = [1.25e-05] +[2024-05-27 04:38:25,748] - INFO: Epoch 3389/9999, Iter 338800: Loss = 0.021085700020194054, lr = [1.25e-05] +[2024-05-27 04:38:53,074] - INFO: Epoch 3389/9999, Iter 338840: Loss = 0.014889990910887718, lr = [1.25e-05] +[2024-05-27 04:39:20,316] - INFO: Epoch 3389/9999, Iter 338880: Loss = 0.006381031591445208, lr = [1.25e-05] +[2024-05-27 04:39:48,891] - INFO: Epoch 3390/9999, Iter 338920: Loss = 0.009257304482161999, lr = [1.25e-05] +[2024-05-27 04:40:16,206] - INFO: Epoch 3390/9999, Iter 338960: Loss = 0.006591050885617733, lr = [1.25e-05] +[2024-05-27 04:40:43,072] - INFO: Evaluate at epoch 3390! +[2024-05-27 04:40:47,778] - INFO: Eval PSNR (max): 38.253 (3245) SSIM (max): 0.9618 (3385) +[2024-05-27 04:40:47,778] - INFO: Eval PSNR (current): 38.231 (3390) SSIM (current): 0.9617 (3390) +[2024-05-27 04:40:47,778] - INFO: Evaluation over. +[2024-05-27 04:40:54,601] - INFO: Epoch 3391/9999, Iter 339000: Loss = 0.013614771887660027, lr = [1.25e-05] +[2024-05-27 04:41:21,900] - INFO: Epoch 3391/9999, Iter 339040: Loss = 0.014763392508029938, lr = [1.25e-05] +[2024-05-27 04:41:49,086] - INFO: Epoch 3391/9999, Iter 339080: Loss = 0.014074710197746754, lr = [1.25e-05] +[2024-05-27 04:42:17,658] - INFO: Epoch 3392/9999, Iter 339120: Loss = 0.009508250281214714, lr = [1.25e-05] +[2024-05-27 04:42:44,795] - INFO: Epoch 3392/9999, Iter 339160: Loss = 0.011161656118929386, lr = [1.25e-05] +[2024-05-27 04:43:13,448] - INFO: Epoch 3393/9999, Iter 339200: Loss = 0.008879096247255802, lr = [1.25e-05] +[2024-05-27 04:43:40,691] - INFO: Epoch 3393/9999, Iter 339240: Loss = 0.01773550547659397, lr = [1.25e-05] +[2024-05-27 04:44:07,949] - INFO: Epoch 3393/9999, Iter 339280: Loss = 0.013948221690952778, lr = [1.25e-05] +[2024-05-27 04:44:36,458] - INFO: Epoch 3394/9999, Iter 339320: Loss = 0.0059992172755301, lr = [1.25e-05] +[2024-05-27 04:45:03,654] - INFO: Epoch 3394/9999, Iter 339360: Loss = 0.019542105495929718, lr = [1.25e-05] +[2024-05-27 04:45:32,319] - INFO: Epoch 3395/9999, Iter 339400: Loss = 0.014389276504516602, lr = [1.25e-05] +[2024-05-27 04:45:59,586] - INFO: Epoch 3395/9999, Iter 339440: Loss = 0.009282154031097889, lr = [1.25e-05] +[2024-05-27 04:46:26,794] - INFO: Epoch 3395/9999, Iter 339480: Loss = 0.015003352425992489, lr = [1.25e-05] +[2024-05-27 04:46:40,099] - INFO: Evaluate at epoch 3395! +[2024-05-27 04:46:44,685] - INFO: Eval PSNR (max): 38.253 (3245) SSIM (max): 0.9618 (3385) +[2024-05-27 04:46:44,686] - INFO: Eval PSNR (current): 38.235 (3395) SSIM (current): 0.9617 (3395) +[2024-05-27 04:46:44,686] - INFO: Evaluation over. +[2024-05-27 04:47:05,136] - INFO: Epoch 3396/9999, Iter 339520: Loss = 0.003493930445984006, lr = [1.25e-05] +[2024-05-27 04:47:32,367] - INFO: Epoch 3396/9999, Iter 339560: Loss = 0.0067640203051269054, lr = [1.25e-05] +[2024-05-27 04:48:01,064] - INFO: Epoch 3397/9999, Iter 339600: Loss = 0.012218309566378593, lr = [1.25e-05] +[2024-05-27 04:48:28,419] - INFO: Epoch 3397/9999, Iter 339640: Loss = 0.00827489048242569, lr = [1.25e-05] +[2024-05-27 04:48:55,590] - INFO: Epoch 3397/9999, Iter 339680: Loss = 0.0090200649574399, lr = [1.25e-05] +[2024-05-27 04:49:24,331] - INFO: Epoch 3398/9999, Iter 339720: Loss = 0.007604530081152916, lr = [1.25e-05] +[2024-05-27 04:49:51,550] - INFO: Epoch 3398/9999, Iter 339760: Loss = 0.009773545898497105, lr = [1.25e-05] +[2024-05-27 04:50:20,040] - INFO: Epoch 3399/9999, Iter 339800: Loss = 0.014400064013898373, lr = [1.25e-05] +[2024-05-27 04:50:47,324] - INFO: Epoch 3399/9999, Iter 339840: Loss = 0.009192182682454586, lr = [1.25e-05] +[2024-05-27 04:51:14,450] - INFO: Epoch 3399/9999, Iter 339880: Loss = 0.005777243059128523, lr = [1.25e-05] +[2024-05-27 04:51:43,166] - INFO: Epoch 3400/9999, Iter 339920: Loss = 0.011432700790464878, lr = [1.25e-05] +[2024-05-27 04:52:10,358] - INFO: Epoch 3400/9999, Iter 339960: Loss = 0.012751887552440166, lr = [1.25e-05] +[2024-05-27 04:52:37,249] - INFO: Evaluate at epoch 3400! +[2024-05-27 04:52:41,739] - INFO: Eval PSNR (max): 38.253 (3245) SSIM (max): 0.9618 (3385) +[2024-05-27 04:52:41,739] - INFO: Eval PSNR (current): 38.234 (3400) SSIM (current): 0.9617 (3400) +[2024-05-27 04:52:41,739] - INFO: Evaluation over. +[2024-05-27 04:52:48,692] - INFO: Epoch 3401/9999, Iter 340000: Loss = 0.011284728534519672, lr = [1.25e-05] +[2024-05-27 04:53:15,939] - INFO: Epoch 3401/9999, Iter 340040: Loss = 0.00839440431445837, lr = [1.25e-05] +[2024-05-27 04:53:43,118] - INFO: Epoch 3401/9999, Iter 340080: Loss = 0.013216860592365265, lr = [1.25e-05] +[2024-05-27 04:54:12,006] - INFO: Epoch 3402/9999, Iter 340120: Loss = 0.012446392327547073, lr = [1.25e-05] +[2024-05-27 04:54:39,182] - INFO: Epoch 3402/9999, Iter 340160: Loss = 0.007057905197143555, lr = [1.25e-05] +[2024-05-27 04:55:07,648] - INFO: Epoch 3403/9999, Iter 340200: Loss = 0.006404310464859009, lr = [1.25e-05] +[2024-05-27 04:55:34,838] - INFO: Epoch 3403/9999, Iter 340240: Loss = 0.014109817333519459, lr = [1.25e-05] +[2024-05-27 04:56:02,118] - INFO: Epoch 3403/9999, Iter 340280: Loss = 0.016281232237815857, lr = [1.25e-05] +[2024-05-27 04:56:30,813] - INFO: Epoch 3404/9999, Iter 340320: Loss = 0.010238495655357838, lr = [1.25e-05] +[2024-05-27 04:56:57,948] - INFO: Epoch 3404/9999, Iter 340360: Loss = 0.017563147470355034, lr = [1.25e-05] +[2024-05-27 04:57:26,684] - INFO: Epoch 3405/9999, Iter 340400: Loss = 0.009633415378630161, lr = [1.25e-05] +[2024-05-27 04:57:54,002] - INFO: Epoch 3405/9999, Iter 340440: Loss = 0.013358088210225105, lr = [1.25e-05] +[2024-05-27 04:58:21,191] - INFO: Epoch 3405/9999, Iter 340480: Loss = 0.021978475153446198, lr = [1.25e-05] +[2024-05-27 04:58:34,474] - INFO: Evaluate at epoch 3405! +[2024-05-27 04:58:39,204] - INFO: Eval PSNR (max): 38.253 (3245) SSIM (max): 0.9618 (3385) +[2024-05-27 04:58:39,204] - INFO: Eval PSNR (current): 38.217 (3405) SSIM (current): 0.9617 (3405) +[2024-05-27 04:58:39,204] - INFO: Evaluation over. +[2024-05-27 04:58:59,153] - INFO: Epoch 3406/9999, Iter 340520: Loss = 0.009207752533257008, lr = [1.25e-05] +[2024-05-27 04:59:26,364] - INFO: Epoch 3406/9999, Iter 340560: Loss = 0.012765265069901943, lr = [1.25e-05] +[2024-05-27 04:59:55,104] - INFO: Epoch 3407/9999, Iter 340600: Loss = 0.019543705508112907, lr = [1.25e-05] +[2024-05-27 05:00:22,318] - INFO: Epoch 3407/9999, Iter 340640: Loss = 0.011772890575230122, lr = [1.25e-05] +[2024-05-27 05:00:49,475] - INFO: Epoch 3407/9999, Iter 340680: Loss = 0.014790583401918411, lr = [1.25e-05] +[2024-05-27 05:01:18,248] - INFO: Epoch 3408/9999, Iter 340720: Loss = 0.007143930532038212, lr = [1.25e-05] +[2024-05-27 05:01:45,482] - INFO: Epoch 3408/9999, Iter 340760: Loss = 0.009278655052185059, lr = [1.25e-05] +[2024-05-27 05:02:13,990] - INFO: Epoch 3409/9999, Iter 340800: Loss = 0.007748902775347233, lr = [1.25e-05] +[2024-05-27 05:02:41,274] - INFO: Epoch 3409/9999, Iter 340840: Loss = 0.007756051141768694, lr = [1.25e-05] +[2024-05-27 05:03:08,422] - INFO: Epoch 3409/9999, Iter 340880: Loss = 0.00579686788842082, lr = [1.25e-05] +[2024-05-27 05:03:36,990] - INFO: Epoch 3410/9999, Iter 340920: Loss = 0.011210057884454727, lr = [1.25e-05] +[2024-05-27 05:04:04,238] - INFO: Epoch 3410/9999, Iter 340960: Loss = 0.009223631583154202, lr = [1.25e-05] +[2024-05-27 05:04:31,134] - INFO: Evaluate at epoch 3410! +[2024-05-27 05:04:35,845] - INFO: Eval PSNR (max): 38.253 (3245) SSIM (max): 0.9618 (3385) +[2024-05-27 05:04:35,845] - INFO: Eval PSNR (current): 38.234 (3410) SSIM (current): 0.9617 (3410) +[2024-05-27 05:04:35,845] - INFO: Evaluation over. +[2024-05-27 05:04:42,890] - INFO: Epoch 3411/9999, Iter 341000: Loss = 0.009778294712305069, lr = [1.25e-05] +[2024-05-27 05:05:10,191] - INFO: Epoch 3411/9999, Iter 341040: Loss = 0.011175801046192646, lr = [1.25e-05] +[2024-05-27 05:05:37,351] - INFO: Epoch 3411/9999, Iter 341080: Loss = 0.01391096692532301, lr = [1.25e-05] +[2024-05-27 05:06:06,062] - INFO: Epoch 3412/9999, Iter 341120: Loss = 0.01000880915671587, lr = [1.25e-05] +[2024-05-27 05:06:33,248] - INFO: Epoch 3412/9999, Iter 341160: Loss = 0.010552803054451942, lr = [1.25e-05] +[2024-05-27 05:07:02,005] - INFO: Epoch 3413/9999, Iter 341200: Loss = 0.014706229791045189, lr = [1.25e-05] +[2024-05-27 05:07:29,274] - INFO: Epoch 3413/9999, Iter 341240: Loss = 0.01904999278485775, lr = [1.25e-05] +[2024-05-27 05:07:56,515] - INFO: Epoch 3413/9999, Iter 341280: Loss = 0.01325935684144497, lr = [1.25e-05] +[2024-05-27 05:08:25,199] - INFO: Epoch 3414/9999, Iter 341320: Loss = 0.009240038692951202, lr = [1.25e-05] +[2024-05-27 05:08:52,426] - INFO: Epoch 3414/9999, Iter 341360: Loss = 0.011849809437990189, lr = [1.25e-05] +[2024-05-27 05:09:20,950] - INFO: Epoch 3415/9999, Iter 341400: Loss = 0.013434761203825474, lr = [1.25e-05] +[2024-05-27 05:09:48,330] - INFO: Epoch 3415/9999, Iter 341440: Loss = 0.008641495369374752, lr = [1.25e-05] +[2024-05-27 05:10:15,514] - INFO: Epoch 3415/9999, Iter 341480: Loss = 0.013140622526407242, lr = [1.25e-05] +[2024-05-27 05:10:28,845] - INFO: Evaluate at epoch 3415! +[2024-05-27 05:10:38,875] - INFO: Eval PSNR (max): 38.253 (3245) SSIM (max): 0.9618 (3415) +[2024-05-27 05:10:38,876] - INFO: Eval PSNR (current): 38.239 (3415) SSIM (current): 0.9618 (3415) +[2024-05-27 05:10:38,876] - INFO: Evaluation over. +[2024-05-27 05:10:59,376] - INFO: Epoch 3416/9999, Iter 341520: Loss = 0.015240845270454884, lr = [1.25e-05] +[2024-05-27 05:11:26,584] - INFO: Epoch 3416/9999, Iter 341560: Loss = 0.007942399941384792, lr = [1.25e-05] +[2024-05-27 05:11:55,308] - INFO: Epoch 3417/9999, Iter 341600: Loss = 0.023492339998483658, lr = [1.25e-05] +[2024-05-27 05:12:22,592] - INFO: Epoch 3417/9999, Iter 341640: Loss = 0.015166448429226875, lr = [1.25e-05] +[2024-05-27 05:12:49,922] - INFO: Epoch 3417/9999, Iter 341680: Loss = 0.014540614560246468, lr = [1.25e-05] +[2024-05-27 05:13:18,520] - INFO: Epoch 3418/9999, Iter 341720: Loss = 0.012984917499125004, lr = [1.25e-05] +[2024-05-27 05:13:45,749] - INFO: Epoch 3418/9999, Iter 341760: Loss = 0.01705712266266346, lr = [1.25e-05] +[2024-05-27 05:14:14,250] - INFO: Epoch 3419/9999, Iter 341800: Loss = 0.01094615925103426, lr = [1.25e-05] +[2024-05-27 05:14:41,594] - INFO: Epoch 3419/9999, Iter 341840: Loss = 0.008821027353405952, lr = [1.25e-05] +[2024-05-27 05:15:08,755] - INFO: Epoch 3419/9999, Iter 341880: Loss = 0.013337763026356697, lr = [1.25e-05] +[2024-05-27 05:15:37,413] - INFO: Epoch 3420/9999, Iter 341920: Loss = 0.011413232423365116, lr = [1.25e-05] +[2024-05-27 05:16:04,659] - INFO: Epoch 3420/9999, Iter 341960: Loss = 0.007422334514558315, lr = [1.25e-05] +[2024-05-27 05:16:31,538] - INFO: Evaluate at epoch 3420! +[2024-05-27 05:16:36,172] - INFO: Eval PSNR (max): 38.253 (3245) SSIM (max): 0.9618 (3415) +[2024-05-27 05:16:36,172] - INFO: Eval PSNR (current): 38.226 (3420) SSIM (current): 0.9618 (3420) +[2024-05-27 05:16:36,172] - INFO: Evaluation over. +[2024-05-27 05:16:42,868] - INFO: Epoch 3421/9999, Iter 342000: Loss = 0.015888692811131477, lr = [1.25e-05] +[2024-05-27 05:17:10,078] - INFO: Epoch 3421/9999, Iter 342040: Loss = 0.009366587735712528, lr = [1.25e-05] +[2024-05-27 05:17:37,343] - INFO: Epoch 3421/9999, Iter 342080: Loss = 0.013806981965899467, lr = [1.25e-05] +[2024-05-27 05:18:06,151] - INFO: Epoch 3422/9999, Iter 342120: Loss = 0.00989922322332859, lr = [1.25e-05] +[2024-05-27 05:18:33,346] - INFO: Epoch 3422/9999, Iter 342160: Loss = 0.01641719974577427, lr = [1.25e-05] +[2024-05-27 05:19:02,000] - INFO: Epoch 3423/9999, Iter 342200: Loss = 0.011664904654026031, lr = [1.25e-05] +[2024-05-27 05:19:29,278] - INFO: Epoch 3423/9999, Iter 342240: Loss = 0.0162058062851429, lr = [1.25e-05] +[2024-05-27 05:19:56,480] - INFO: Epoch 3423/9999, Iter 342280: Loss = 0.013040021993219852, lr = [1.25e-05] +[2024-05-27 05:20:25,266] - INFO: Epoch 3424/9999, Iter 342320: Loss = 0.011985965073108673, lr = [1.25e-05] +[2024-05-27 05:20:52,502] - INFO: Epoch 3424/9999, Iter 342360: Loss = 0.00949686300009489, lr = [1.25e-05] +[2024-05-27 05:21:20,861] - INFO: Epoch 3425/9999, Iter 342400: Loss = 0.01330211665481329, lr = [1.25e-05] +[2024-05-27 05:21:48,166] - INFO: Epoch 3425/9999, Iter 342440: Loss = 0.007461942732334137, lr = [1.25e-05] +[2024-05-27 05:22:15,338] - INFO: Epoch 3425/9999, Iter 342480: Loss = 0.012677455320954323, lr = [1.25e-05] +[2024-05-27 05:22:28,609] - INFO: Evaluate at epoch 3425! +[2024-05-27 05:22:38,430] - INFO: Eval PSNR (max): 38.253 (3245) SSIM (max): 0.9618 (3425) +[2024-05-27 05:22:38,430] - INFO: Eval PSNR (current): 38.251 (3425) SSIM (current): 0.9618 (3425) +[2024-05-27 05:22:38,431] - INFO: Evaluation over. +[2024-05-27 05:22:58,870] - INFO: Epoch 3426/9999, Iter 342520: Loss = 0.009991096332669258, lr = [1.25e-05] +[2024-05-27 05:23:26,090] - INFO: Epoch 3426/9999, Iter 342560: Loss = 0.021051887422800064, lr = [1.25e-05] +[2024-05-27 05:23:54,779] - INFO: Epoch 3427/9999, Iter 342600: Loss = 0.005614507012069225, lr = [1.25e-05] +[2024-05-27 05:24:22,102] - INFO: Epoch 3427/9999, Iter 342640: Loss = 0.009331420995295048, lr = [1.25e-05] +[2024-05-27 05:24:49,286] - INFO: Epoch 3427/9999, Iter 342680: Loss = 0.011350596323609352, lr = [1.25e-05] +[2024-05-27 05:25:17,947] - INFO: Epoch 3428/9999, Iter 342720: Loss = 0.01996389403939247, lr = [1.25e-05] +[2024-05-27 05:25:45,166] - INFO: Epoch 3428/9999, Iter 342760: Loss = 0.008146701380610466, lr = [1.25e-05] +[2024-05-27 05:26:13,708] - INFO: Epoch 3429/9999, Iter 342800: Loss = 0.015369606204330921, lr = [1.25e-05] +[2024-05-27 05:26:40,956] - INFO: Epoch 3429/9999, Iter 342840: Loss = 0.01084967888891697, lr = [1.25e-05] +[2024-05-27 05:27:08,186] - INFO: Epoch 3429/9999, Iter 342880: Loss = 0.008154700510203838, lr = [1.25e-05] +[2024-05-27 05:27:36,791] - INFO: Epoch 3430/9999, Iter 342920: Loss = 0.017582770437002182, lr = [1.25e-05] +[2024-05-27 05:28:03,954] - INFO: Epoch 3430/9999, Iter 342960: Loss = 0.014378894120454788, lr = [1.25e-05] +[2024-05-27 05:28:30,810] - INFO: Evaluate at epoch 3430! +[2024-05-27 05:28:35,419] - INFO: Eval PSNR (max): 38.253 (3245) SSIM (max): 0.9618 (3425) +[2024-05-27 05:28:35,419] - INFO: Eval PSNR (current): 38.246 (3430) SSIM (current): 0.9617 (3430) +[2024-05-27 05:28:35,419] - INFO: Evaluation over. +[2024-05-27 05:28:42,074] - INFO: Epoch 3431/9999, Iter 343000: Loss = 0.01380129624158144, lr = [1.25e-05] +[2024-05-27 05:29:09,342] - INFO: Epoch 3431/9999, Iter 343040: Loss = 0.009424037300050259, lr = [1.25e-05] +[2024-05-27 05:29:36,470] - INFO: Epoch 3431/9999, Iter 343080: Loss = 0.022692207247018814, lr = [1.25e-05] +[2024-05-27 05:30:05,017] - INFO: Epoch 3432/9999, Iter 343120: Loss = 0.00977855920791626, lr = [1.25e-05] +[2024-05-27 05:30:32,197] - INFO: Epoch 3432/9999, Iter 343160: Loss = 0.005762312561273575, lr = [1.25e-05] +[2024-05-27 05:31:00,680] - INFO: Epoch 3433/9999, Iter 343200: Loss = 0.014920095913112164, lr = [1.25e-05] +[2024-05-27 05:31:27,955] - INFO: Epoch 3433/9999, Iter 343240: Loss = 0.013647384010255337, lr = [1.25e-05] +[2024-05-27 05:31:55,127] - INFO: Epoch 3433/9999, Iter 343280: Loss = 0.01601916179060936, lr = [1.25e-05] +[2024-05-27 05:32:23,914] - INFO: Epoch 3434/9999, Iter 343320: Loss = 0.0077109006233513355, lr = [1.25e-05] +[2024-05-27 05:32:51,050] - INFO: Epoch 3434/9999, Iter 343360: Loss = 0.012818681076169014, lr = [1.25e-05] +[2024-05-27 05:33:19,612] - INFO: Epoch 3435/9999, Iter 343400: Loss = 0.006931450217962265, lr = [1.25e-05] +[2024-05-27 05:33:46,906] - INFO: Epoch 3435/9999, Iter 343440: Loss = 0.009068499319255352, lr = [1.25e-05] +[2024-05-27 05:34:14,107] - INFO: Epoch 3435/9999, Iter 343480: Loss = 0.012822482734918594, lr = [1.25e-05] +[2024-05-27 05:34:27,396] - INFO: Evaluate at epoch 3435! +[2024-05-27 05:34:32,093] - INFO: Eval PSNR (max): 38.253 (3245) SSIM (max): 0.9618 (3425) +[2024-05-27 05:34:32,093] - INFO: Eval PSNR (current): 38.237 (3435) SSIM (current): 0.9617 (3435) +[2024-05-27 05:34:32,093] - INFO: Evaluation over. +[2024-05-27 05:34:52,492] - INFO: Epoch 3436/9999, Iter 343520: Loss = 0.010537125170230865, lr = [1.25e-05] +[2024-05-27 05:35:19,694] - INFO: Epoch 3436/9999, Iter 343560: Loss = 0.01834208332002163, lr = [1.25e-05] +[2024-05-27 05:35:48,299] - INFO: Epoch 3437/9999, Iter 343600: Loss = 0.008454416878521442, lr = [1.25e-05] +[2024-05-27 05:36:15,563] - INFO: Epoch 3437/9999, Iter 343640: Loss = 0.009038661606609821, lr = [1.25e-05] +[2024-05-27 05:36:42,786] - INFO: Epoch 3437/9999, Iter 343680: Loss = 0.01232193037867546, lr = [1.25e-05] +[2024-05-27 05:37:11,566] - INFO: Epoch 3438/9999, Iter 343720: Loss = 0.014224760234355927, lr = [1.25e-05] +[2024-05-27 05:37:38,694] - INFO: Epoch 3438/9999, Iter 343760: Loss = 0.010795623995363712, lr = [1.25e-05] +[2024-05-27 05:38:07,385] - INFO: Epoch 3439/9999, Iter 343800: Loss = 0.010763309895992279, lr = [1.25e-05] +[2024-05-27 05:38:34,792] - INFO: Epoch 3439/9999, Iter 343840: Loss = 0.010087366215884686, lr = [1.25e-05] +[2024-05-27 05:39:01,982] - INFO: Epoch 3439/9999, Iter 343880: Loss = 0.011272807605564594, lr = [1.25e-05] +[2024-05-27 05:39:30,747] - INFO: Epoch 3440/9999, Iter 343920: Loss = 0.00569920614361763, lr = [1.25e-05] +[2024-05-27 05:39:57,979] - INFO: Epoch 3440/9999, Iter 343960: Loss = 0.01485935878008604, lr = [1.25e-05] +[2024-05-27 05:40:24,791] - INFO: Evaluate at epoch 3440! +[2024-05-27 05:40:29,561] - INFO: Eval PSNR (max): 38.253 (3245) SSIM (max): 0.9618 (3425) +[2024-05-27 05:40:29,561] - INFO: Eval PSNR (current): 38.237 (3440) SSIM (current): 0.9617 (3440) +[2024-05-27 05:40:29,562] - INFO: Evaluation over. +[2024-05-27 05:40:36,210] - INFO: Epoch 3441/9999, Iter 344000: Loss = 0.005948595702648163, lr = [1.25e-05] +[2024-05-27 05:41:03,546] - INFO: Epoch 3441/9999, Iter 344040: Loss = 0.008664829656481743, lr = [1.25e-05] +[2024-05-27 05:41:30,706] - INFO: Epoch 3441/9999, Iter 344080: Loss = 0.017028162255883217, lr = [1.25e-05] +[2024-05-27 05:41:59,427] - INFO: Epoch 3442/9999, Iter 344120: Loss = 0.013185881078243256, lr = [1.25e-05] +[2024-05-27 05:42:26,627] - INFO: Epoch 3442/9999, Iter 344160: Loss = 0.011254064738750458, lr = [1.25e-05] +[2024-05-27 05:42:55,181] - INFO: Epoch 3443/9999, Iter 344200: Loss = 0.011568550020456314, lr = [1.25e-05] +[2024-05-27 05:43:22,454] - INFO: Epoch 3443/9999, Iter 344240: Loss = 0.012930179946124554, lr = [1.25e-05] +[2024-05-27 05:43:49,615] - INFO: Epoch 3443/9999, Iter 344280: Loss = 0.008768063969910145, lr = [1.25e-05] +[2024-05-27 05:44:18,427] - INFO: Epoch 3444/9999, Iter 344320: Loss = 0.009298150427639484, lr = [1.25e-05] +[2024-05-27 05:44:45,696] - INFO: Epoch 3444/9999, Iter 344360: Loss = 0.012333737686276436, lr = [1.25e-05] +[2024-05-27 05:45:14,085] - INFO: Epoch 3445/9999, Iter 344400: Loss = 0.00688950577750802, lr = [1.25e-05] +[2024-05-27 05:45:41,306] - INFO: Epoch 3445/9999, Iter 344440: Loss = 0.01118958368897438, lr = [1.25e-05] +[2024-05-27 05:46:08,526] - INFO: Epoch 3445/9999, Iter 344480: Loss = 0.01732196845114231, lr = [1.25e-05] +[2024-05-27 05:46:21,832] - INFO: Evaluate at epoch 3445! +[2024-05-27 05:46:32,092] - INFO: Eval PSNR (max): 38.254 (3445) SSIM (max): 0.9618 (3425) +[2024-05-27 05:46:32,093] - INFO: Eval PSNR (current): 38.254 (3445) SSIM (current): 0.9617 (3445) +[2024-05-27 05:46:32,093] - INFO: Evaluation over. +[2024-05-27 05:46:52,510] - INFO: Epoch 3446/9999, Iter 344520: Loss = 0.008964287117123604, lr = [1.25e-05] +[2024-05-27 05:47:19,770] - INFO: Epoch 3446/9999, Iter 344560: Loss = 0.014002358540892601, lr = [1.25e-05] +[2024-05-27 05:47:48,352] - INFO: Epoch 3447/9999, Iter 344600: Loss = 0.009905260987579823, lr = [1.25e-05] +[2024-05-27 05:48:15,635] - INFO: Epoch 3447/9999, Iter 344640: Loss = 0.016417911276221275, lr = [1.25e-05] +[2024-05-27 05:48:42,834] - INFO: Epoch 3447/9999, Iter 344680: Loss = 0.015586555004119873, lr = [1.25e-05] +[2024-05-27 05:49:11,497] - INFO: Epoch 3448/9999, Iter 344720: Loss = 0.014910412952303886, lr = [1.25e-05] +[2024-05-27 05:49:38,746] - INFO: Epoch 3448/9999, Iter 344760: Loss = 0.0162507314234972, lr = [1.25e-05] +[2024-05-27 05:50:07,320] - INFO: Epoch 3449/9999, Iter 344800: Loss = 0.009003153070807457, lr = [1.25e-05] +[2024-05-27 05:50:34,566] - INFO: Epoch 3449/9999, Iter 344840: Loss = 0.008086591958999634, lr = [1.25e-05] +[2024-05-27 05:51:01,683] - INFO: Epoch 3449/9999, Iter 344880: Loss = 0.010074569843709469, lr = [1.25e-05] +[2024-05-27 05:51:30,347] - INFO: Epoch 3450/9999, Iter 344920: Loss = 0.013694488443434238, lr = [1.25e-05] +[2024-05-27 05:51:57,458] - INFO: Epoch 3450/9999, Iter 344960: Loss = 0.009636075235903263, lr = [1.25e-05] +[2024-05-27 05:52:24,331] - INFO: Evaluate at epoch 3450! +[2024-05-27 05:52:28,807] - INFO: Eval PSNR (max): 38.254 (3445) SSIM (max): 0.9618 (3425) +[2024-05-27 05:52:28,808] - INFO: Eval PSNR (current): 38.246 (3450) SSIM (current): 0.9617 (3450) +[2024-05-27 05:52:28,808] - INFO: Evaluation over. +[2024-05-27 05:52:35,706] - INFO: Epoch 3451/9999, Iter 345000: Loss = 0.009682141244411469, lr = [1.25e-05] +[2024-05-27 05:53:03,012] - INFO: Epoch 3451/9999, Iter 345040: Loss = 0.008789836429059505, lr = [1.25e-05] +[2024-05-27 05:53:30,268] - INFO: Epoch 3451/9999, Iter 345080: Loss = 0.008637586608529091, lr = [1.25e-05] +[2024-05-27 05:53:58,826] - INFO: Epoch 3452/9999, Iter 345120: Loss = 0.012770328670740128, lr = [1.25e-05] +[2024-05-27 05:54:26,052] - INFO: Epoch 3452/9999, Iter 345160: Loss = 0.022279925644397736, lr = [1.25e-05] +[2024-05-27 05:54:54,745] - INFO: Epoch 3453/9999, Iter 345200: Loss = 0.010411991737782955, lr = [1.25e-05] +[2024-05-27 05:55:22,054] - INFO: Epoch 3453/9999, Iter 345240: Loss = 0.01144364569336176, lr = [1.25e-05] +[2024-05-27 05:55:49,254] - INFO: Epoch 3453/9999, Iter 345280: Loss = 0.010319995693862438, lr = [1.25e-05] +[2024-05-27 05:56:17,956] - INFO: Epoch 3454/9999, Iter 345320: Loss = 0.010588961653411388, lr = [1.25e-05] +[2024-05-27 05:56:45,110] - INFO: Epoch 3454/9999, Iter 345360: Loss = 0.011764382012188435, lr = [1.25e-05] +[2024-05-27 05:57:13,729] - INFO: Epoch 3455/9999, Iter 345400: Loss = 0.009325633756816387, lr = [1.25e-05] +[2024-05-27 05:57:41,002] - INFO: Epoch 3455/9999, Iter 345440: Loss = 0.011520694941282272, lr = [1.25e-05] +[2024-05-27 05:58:08,234] - INFO: Epoch 3455/9999, Iter 345480: Loss = 0.012375593185424805, lr = [1.25e-05] +[2024-05-27 05:58:21,626] - INFO: Evaluate at epoch 3455! +[2024-05-27 05:58:26,117] - INFO: Eval PSNR (max): 38.254 (3445) SSIM (max): 0.9618 (3425) +[2024-05-27 05:58:26,117] - INFO: Eval PSNR (current): 38.232 (3455) SSIM (current): 0.9617 (3455) +[2024-05-27 05:58:26,117] - INFO: Evaluation over. +[2024-05-27 05:58:46,522] - INFO: Epoch 3456/9999, Iter 345520: Loss = 0.015366004779934883, lr = [1.25e-05] +[2024-05-27 05:59:13,782] - INFO: Epoch 3456/9999, Iter 345560: Loss = 0.011325936764478683, lr = [1.25e-05] +[2024-05-27 05:59:42,380] - INFO: Epoch 3457/9999, Iter 345600: Loss = 0.01215528603643179, lr = [1.25e-05] +[2024-05-27 06:00:09,698] - INFO: Epoch 3457/9999, Iter 345640: Loss = 0.01170702651143074, lr = [1.25e-05] +[2024-05-27 06:00:36,834] - INFO: Epoch 3457/9999, Iter 345680: Loss = 0.009680582210421562, lr = [1.25e-05] +[2024-05-27 06:01:05,434] - INFO: Epoch 3458/9999, Iter 345720: Loss = 0.017183074727654457, lr = [1.25e-05] +[2024-05-27 06:01:32,683] - INFO: Epoch 3458/9999, Iter 345760: Loss = 0.014781373552978039, lr = [1.25e-05] +[2024-05-27 06:02:01,312] - INFO: Epoch 3459/9999, Iter 345800: Loss = 0.012025541625916958, lr = [1.25e-05] +[2024-05-27 06:02:28,542] - INFO: Epoch 3459/9999, Iter 345840: Loss = 0.013451633974909782, lr = [1.25e-05] +[2024-05-27 06:02:55,746] - INFO: Epoch 3459/9999, Iter 345880: Loss = 0.01676304265856743, lr = [1.25e-05] +[2024-05-27 06:03:24,275] - INFO: Epoch 3460/9999, Iter 345920: Loss = 0.012895001098513603, lr = [1.25e-05] +[2024-05-27 06:03:51,422] - INFO: Epoch 3460/9999, Iter 345960: Loss = 0.012675533071160316, lr = [1.25e-05] +[2024-05-27 06:04:18,349] - INFO: Evaluate at epoch 3460! +[2024-05-27 06:04:22,999] - INFO: Eval PSNR (max): 38.254 (3445) SSIM (max): 0.9618 (3425) +[2024-05-27 06:04:22,999] - INFO: Eval PSNR (current): 38.236 (3460) SSIM (current): 0.9617 (3460) +[2024-05-27 06:04:22,999] - INFO: Evaluation over. +[2024-05-27 06:04:30,008] - INFO: Epoch 3461/9999, Iter 346000: Loss = 0.013330350629985332, lr = [1.25e-05] +[2024-05-27 06:04:57,290] - INFO: Epoch 3461/9999, Iter 346040: Loss = 0.010137169621884823, lr = [1.25e-05] +[2024-05-27 06:05:24,480] - INFO: Epoch 3461/9999, Iter 346080: Loss = 0.014188969507813454, lr = [1.25e-05] +[2024-05-27 06:05:52,720] - INFO: Epoch 3462/9999, Iter 346120: Loss = 0.010501371696591377, lr = [1.25e-05] +[2024-05-27 06:06:19,887] - INFO: Epoch 3462/9999, Iter 346160: Loss = 0.006748761981725693, lr = [1.25e-05] +[2024-05-27 06:06:48,392] - INFO: Epoch 3463/9999, Iter 346200: Loss = 0.005463277455419302, lr = [1.25e-05] +[2024-05-27 06:07:15,626] - INFO: Epoch 3463/9999, Iter 346240: Loss = 0.012008268386125565, lr = [1.25e-05] +[2024-05-27 06:07:42,830] - INFO: Epoch 3463/9999, Iter 346280: Loss = 0.012213914655148983, lr = [1.25e-05] +[2024-05-27 06:08:11,517] - INFO: Epoch 3464/9999, Iter 346320: Loss = 0.00819819513708353, lr = [1.25e-05] +[2024-05-27 06:08:38,705] - INFO: Epoch 3464/9999, Iter 346360: Loss = 0.009348802268505096, lr = [1.25e-05] +[2024-05-27 06:09:07,095] - INFO: Epoch 3465/9999, Iter 346400: Loss = 0.0192412156611681, lr = [1.25e-05] +[2024-05-27 06:09:34,320] - INFO: Epoch 3465/9999, Iter 346440: Loss = 0.012555359862744808, lr = [1.25e-05] +[2024-05-27 06:10:01,510] - INFO: Epoch 3465/9999, Iter 346480: Loss = 0.013607390224933624, lr = [1.25e-05] +[2024-05-27 06:10:14,820] - INFO: Evaluate at epoch 3465! +[2024-05-27 06:10:19,302] - INFO: Eval PSNR (max): 38.254 (3445) SSIM (max): 0.9618 (3425) +[2024-05-27 06:10:19,303] - INFO: Eval PSNR (current): 38.233 (3465) SSIM (current): 0.9617 (3465) +[2024-05-27 06:10:19,303] - INFO: Evaluation over. +[2024-05-27 06:10:39,697] - INFO: Epoch 3466/9999, Iter 346520: Loss = 0.010622415691614151, lr = [1.25e-05] +[2024-05-27 06:11:06,961] - INFO: Epoch 3466/9999, Iter 346560: Loss = 0.007781753782182932, lr = [1.25e-05] +[2024-05-27 06:11:35,588] - INFO: Epoch 3467/9999, Iter 346600: Loss = 0.010503852739930153, lr = [1.25e-05] +[2024-05-27 06:12:02,827] - INFO: Epoch 3467/9999, Iter 346640: Loss = 0.007418497931212187, lr = [1.25e-05] +[2024-05-27 06:12:30,027] - INFO: Epoch 3467/9999, Iter 346680: Loss = 0.012517348863184452, lr = [1.25e-05] +[2024-05-27 06:12:58,586] - INFO: Epoch 3468/9999, Iter 346720: Loss = 0.01310752984136343, lr = [1.25e-05] +[2024-05-27 06:13:25,798] - INFO: Epoch 3468/9999, Iter 346760: Loss = 0.010028083808720112, lr = [1.25e-05] +[2024-05-27 06:13:54,262] - INFO: Epoch 3469/9999, Iter 346800: Loss = 0.009649869985878468, lr = [1.25e-05] +[2024-05-27 06:14:21,586] - INFO: Epoch 3469/9999, Iter 346840: Loss = 0.006908424198627472, lr = [1.25e-05] +[2024-05-27 06:14:48,874] - INFO: Epoch 3469/9999, Iter 346880: Loss = 0.012105853296816349, lr = [1.25e-05] +[2024-05-27 06:15:17,628] - INFO: Epoch 3470/9999, Iter 346920: Loss = 0.007006583269685507, lr = [1.25e-05] +[2024-05-27 06:15:44,838] - INFO: Epoch 3470/9999, Iter 346960: Loss = 0.011436357162892818, lr = [1.25e-05] +[2024-05-27 06:16:11,801] - INFO: Evaluate at epoch 3470! +[2024-05-27 06:16:16,403] - INFO: Eval PSNR (max): 38.254 (3445) SSIM (max): 0.9618 (3425) +[2024-05-27 06:16:16,403] - INFO: Eval PSNR (current): 38.242 (3470) SSIM (current): 0.9618 (3470) +[2024-05-27 06:16:16,403] - INFO: Evaluation over. +[2024-05-27 06:16:23,023] - INFO: Epoch 3471/9999, Iter 347000: Loss = 0.013020873069763184, lr = [1.25e-05] +[2024-05-27 06:16:50,302] - INFO: Epoch 3471/9999, Iter 347040: Loss = 0.007778889499604702, lr = [1.25e-05] +[2024-05-27 06:17:17,515] - INFO: Epoch 3471/9999, Iter 347080: Loss = 0.01537565141916275, lr = [1.25e-05] +[2024-05-27 06:17:46,220] - INFO: Epoch 3472/9999, Iter 347120: Loss = 0.010978356935083866, lr = [1.25e-05] +[2024-05-27 06:18:13,454] - INFO: Epoch 3472/9999, Iter 347160: Loss = 0.00974087044596672, lr = [1.25e-05] +[2024-05-27 06:18:42,024] - INFO: Epoch 3473/9999, Iter 347200: Loss = 0.01330876536667347, lr = [1.25e-05] +[2024-05-27 06:19:09,278] - INFO: Epoch 3473/9999, Iter 347240: Loss = 0.007219510152935982, lr = [1.25e-05] +[2024-05-27 06:19:36,430] - INFO: Epoch 3473/9999, Iter 347280: Loss = 0.015289289876818657, lr = [1.25e-05] +[2024-05-27 06:20:05,078] - INFO: Epoch 3474/9999, Iter 347320: Loss = 0.019572244957089424, lr = [1.25e-05] +[2024-05-27 06:20:32,287] - INFO: Epoch 3474/9999, Iter 347360: Loss = 0.008652572520077229, lr = [1.25e-05] +[2024-05-27 06:21:01,133] - INFO: Epoch 3475/9999, Iter 347400: Loss = 0.012552926316857338, lr = [1.25e-05] +[2024-05-27 06:21:28,430] - INFO: Epoch 3475/9999, Iter 347440: Loss = 0.016215119510889053, lr = [1.25e-05] +[2024-05-27 06:21:55,584] - INFO: Epoch 3475/9999, Iter 347480: Loss = 0.007772404700517654, lr = [1.25e-05] +[2024-05-27 06:22:08,866] - INFO: Evaluate at epoch 3475! +[2024-05-27 06:22:13,536] - INFO: Eval PSNR (max): 38.254 (3445) SSIM (max): 0.9618 (3425) +[2024-05-27 06:22:13,536] - INFO: Eval PSNR (current): 38.235 (3475) SSIM (current): 0.9617 (3475) +[2024-05-27 06:22:13,536] - INFO: Evaluation over. +[2024-05-27 06:22:34,138] - INFO: Epoch 3476/9999, Iter 347520: Loss = 0.007390789687633514, lr = [1.25e-05] +[2024-05-27 06:23:01,314] - INFO: Epoch 3476/9999, Iter 347560: Loss = 0.009474809281527996, lr = [1.25e-05] +[2024-05-27 06:23:29,916] - INFO: Epoch 3477/9999, Iter 347600: Loss = 0.015718257054686546, lr = [1.25e-05] +[2024-05-27 06:23:57,142] - INFO: Epoch 3477/9999, Iter 347640: Loss = 0.010020313784480095, lr = [1.25e-05] +[2024-05-27 06:24:24,415] - INFO: Epoch 3477/9999, Iter 347680: Loss = 0.012634435668587685, lr = [1.25e-05] +[2024-05-27 06:24:53,057] - INFO: Epoch 3478/9999, Iter 347720: Loss = 0.016801921650767326, lr = [1.25e-05] +[2024-05-27 06:25:20,178] - INFO: Epoch 3478/9999, Iter 347760: Loss = 0.00798719935119152, lr = [1.25e-05] +[2024-05-27 06:25:48,816] - INFO: Epoch 3479/9999, Iter 347800: Loss = 0.00986485369503498, lr = [1.25e-05] +[2024-05-27 06:26:16,138] - INFO: Epoch 3479/9999, Iter 347840: Loss = 0.021717336028814316, lr = [1.25e-05] +[2024-05-27 06:26:43,306] - INFO: Epoch 3479/9999, Iter 347880: Loss = 0.008537689223885536, lr = [1.25e-05] +[2024-05-27 06:27:12,110] - INFO: Epoch 3480/9999, Iter 347920: Loss = 0.011199408210814, lr = [1.25e-05] +[2024-05-27 06:27:39,292] - INFO: Epoch 3480/9999, Iter 347960: Loss = 0.011173832230269909, lr = [1.25e-05] +[2024-05-27 06:28:06,130] - INFO: Evaluate at epoch 3480! +[2024-05-27 06:28:10,766] - INFO: Eval PSNR (max): 38.254 (3445) SSIM (max): 0.9618 (3425) +[2024-05-27 06:28:10,766] - INFO: Eval PSNR (current): 38.242 (3480) SSIM (current): 0.9618 (3480) +[2024-05-27 06:28:10,766] - INFO: Evaluation over. +[2024-05-27 06:28:17,508] - INFO: Epoch 3481/9999, Iter 348000: Loss = 0.018651746213436127, lr = [1.25e-05] +[2024-05-27 06:28:44,830] - INFO: Epoch 3481/9999, Iter 348040: Loss = 0.010946713387966156, lr = [1.25e-05] +[2024-05-27 06:29:12,086] - INFO: Epoch 3481/9999, Iter 348080: Loss = 0.011603047139942646, lr = [1.25e-05] +[2024-05-27 06:29:40,866] - INFO: Epoch 3482/9999, Iter 348120: Loss = 0.007680666167289019, lr = [1.25e-05] +[2024-05-27 06:30:08,138] - INFO: Epoch 3482/9999, Iter 348160: Loss = 0.022481992840766907, lr = [1.25e-05] +[2024-05-27 06:30:36,560] - INFO: Epoch 3483/9999, Iter 348200: Loss = 0.009240773506462574, lr = [1.25e-05] +[2024-05-27 06:31:03,923] - INFO: Epoch 3483/9999, Iter 348240: Loss = 0.012101821601390839, lr = [1.25e-05] +[2024-05-27 06:31:31,108] - INFO: Epoch 3483/9999, Iter 348280: Loss = 0.012987745925784111, lr = [1.25e-05] +[2024-05-27 06:31:59,696] - INFO: Epoch 3484/9999, Iter 348320: Loss = 0.011214013211429119, lr = [1.25e-05] +[2024-05-27 06:32:26,839] - INFO: Epoch 3484/9999, Iter 348360: Loss = 0.010599751956760883, lr = [1.25e-05] +[2024-05-27 06:32:55,508] - INFO: Epoch 3485/9999, Iter 348400: Loss = 0.013765577226877213, lr = [1.25e-05] +[2024-05-27 06:33:22,780] - INFO: Epoch 3485/9999, Iter 348440: Loss = 0.011114167049527168, lr = [1.25e-05] +[2024-05-27 06:33:49,988] - INFO: Epoch 3485/9999, Iter 348480: Loss = 0.01291949674487114, lr = [1.25e-05] +[2024-05-27 06:34:03,307] - INFO: Evaluate at epoch 3485! +[2024-05-27 06:34:08,019] - INFO: Eval PSNR (max): 38.254 (3445) SSIM (max): 0.9618 (3425) +[2024-05-27 06:34:08,019] - INFO: Eval PSNR (current): 38.238 (3485) SSIM (current): 0.9617 (3485) +[2024-05-27 06:34:08,019] - INFO: Evaluation over. +[2024-05-27 06:34:28,818] - INFO: Epoch 3486/9999, Iter 348520: Loss = 0.017309516668319702, lr = [1.25e-05] +[2024-05-27 06:34:55,986] - INFO: Epoch 3486/9999, Iter 348560: Loss = 0.0070469677448272705, lr = [1.25e-05] +[2024-05-27 06:35:24,343] - INFO: Epoch 3487/9999, Iter 348600: Loss = 0.011783141642808914, lr = [1.25e-05] +[2024-05-27 06:35:51,595] - INFO: Epoch 3487/9999, Iter 348640: Loss = 0.013273262418806553, lr = [1.25e-05] +[2024-05-27 06:36:18,818] - INFO: Epoch 3487/9999, Iter 348680: Loss = 0.012995678000152111, lr = [1.25e-05] +[2024-05-27 06:36:47,510] - INFO: Epoch 3488/9999, Iter 348720: Loss = 0.02244723215699196, lr = [1.25e-05] +[2024-05-27 06:37:14,795] - INFO: Epoch 3488/9999, Iter 348760: Loss = 0.015771090984344482, lr = [1.25e-05] +[2024-05-27 06:37:43,392] - INFO: Epoch 3489/9999, Iter 348800: Loss = 0.008156538009643555, lr = [1.25e-05] +[2024-05-27 06:38:10,651] - INFO: Epoch 3489/9999, Iter 348840: Loss = 0.006591512355953455, lr = [1.25e-05] +[2024-05-27 06:38:37,798] - INFO: Epoch 3489/9999, Iter 348880: Loss = 0.00893895048648119, lr = [1.25e-05] +[2024-05-27 06:39:06,862] - INFO: Epoch 3490/9999, Iter 348920: Loss = 0.01788395084440708, lr = [1.25e-05] +[2024-05-27 06:39:34,103] - INFO: Epoch 3490/9999, Iter 348960: Loss = 0.010281240567564964, lr = [1.25e-05] +[2024-05-27 06:40:00,967] - INFO: Evaluate at epoch 3490! +[2024-05-27 06:40:05,565] - INFO: Eval PSNR (max): 38.254 (3445) SSIM (max): 0.9618 (3425) +[2024-05-27 06:40:05,565] - INFO: Eval PSNR (current): 38.232 (3490) SSIM (current): 0.9617 (3490) +[2024-05-27 06:40:05,565] - INFO: Evaluation over. +[2024-05-27 06:40:12,386] - INFO: Epoch 3491/9999, Iter 349000: Loss = 0.010086501017212868, lr = [1.25e-05] +[2024-05-27 06:40:39,706] - INFO: Epoch 3491/9999, Iter 349040: Loss = 0.011833567172288895, lr = [1.25e-05] +[2024-05-27 06:41:06,899] - INFO: Epoch 3491/9999, Iter 349080: Loss = 0.007917564362287521, lr = [1.25e-05] +[2024-05-27 06:41:35,462] - INFO: Epoch 3492/9999, Iter 349120: Loss = 0.006998223718255758, lr = [1.25e-05] +[2024-05-27 06:42:02,720] - INFO: Epoch 3492/9999, Iter 349160: Loss = 0.007695683278143406, lr = [1.25e-05] +[2024-05-27 06:42:31,260] - INFO: Epoch 3493/9999, Iter 349200: Loss = 0.015151781029999256, lr = [1.25e-05] +[2024-05-27 06:42:58,506] - INFO: Epoch 3493/9999, Iter 349240: Loss = 0.013123036362230778, lr = [1.25e-05] +[2024-05-27 06:43:25,686] - INFO: Epoch 3493/9999, Iter 349280: Loss = 0.010798151604831219, lr = [1.25e-05] +[2024-05-27 06:43:54,395] - INFO: Epoch 3494/9999, Iter 349320: Loss = 0.012522664852440357, lr = [1.25e-05] +[2024-05-27 06:44:21,540] - INFO: Epoch 3494/9999, Iter 349360: Loss = 0.00949953030794859, lr = [1.25e-05] +[2024-05-27 06:44:50,244] - INFO: Epoch 3495/9999, Iter 349400: Loss = 0.013866448774933815, lr = [1.25e-05] +[2024-05-27 06:45:17,558] - INFO: Epoch 3495/9999, Iter 349440: Loss = 0.00870185624808073, lr = [1.25e-05] +[2024-05-27 06:45:44,686] - INFO: Epoch 3495/9999, Iter 349480: Loss = 0.014264201745390892, lr = [1.25e-05] +[2024-05-27 06:45:57,992] - INFO: Evaluate at epoch 3495! +[2024-05-27 06:46:02,763] - INFO: Eval PSNR (max): 38.254 (3445) SSIM (max): 0.9618 (3425) +[2024-05-27 06:46:02,764] - INFO: Eval PSNR (current): 38.233 (3495) SSIM (current): 0.9618 (3495) +[2024-05-27 06:46:02,764] - INFO: Evaluation over. +[2024-05-27 06:46:23,167] - INFO: Epoch 3496/9999, Iter 349520: Loss = 0.012626832351088524, lr = [1.25e-05] +[2024-05-27 06:46:50,390] - INFO: Epoch 3496/9999, Iter 349560: Loss = 0.014845112338662148, lr = [1.25e-05] +[2024-05-27 06:47:18,901] - INFO: Epoch 3497/9999, Iter 349600: Loss = 0.012436789460480213, lr = [1.25e-05] +[2024-05-27 06:47:46,257] - INFO: Epoch 3497/9999, Iter 349640: Loss = 0.017310811206698418, lr = [1.25e-05] +[2024-05-27 06:48:13,424] - INFO: Epoch 3497/9999, Iter 349680: Loss = 0.008603088557720184, lr = [1.25e-05] +[2024-05-27 06:48:41,873] - INFO: Epoch 3498/9999, Iter 349720: Loss = 0.013367961160838604, lr = [1.25e-05] +[2024-05-27 06:49:09,050] - INFO: Epoch 3498/9999, Iter 349760: Loss = 0.008585749194025993, lr = [1.25e-05] +[2024-05-27 06:49:37,638] - INFO: Epoch 3499/9999, Iter 349800: Loss = 0.013368715532124043, lr = [1.25e-05] +[2024-05-27 06:50:04,961] - INFO: Epoch 3499/9999, Iter 349840: Loss = 0.01619833894073963, lr = [1.25e-05] +[2024-05-27 06:50:32,133] - INFO: Epoch 3499/9999, Iter 349880: Loss = 0.014983735978603363, lr = [1.25e-05] +[2024-05-27 06:51:00,849] - INFO: Epoch 3500/9999, Iter 349920: Loss = 0.0128084197640419, lr = [1.25e-05] +[2024-05-27 06:51:28,083] - INFO: Epoch 3500/9999, Iter 349960: Loss = 0.005266781430691481, lr = [1.25e-05] +[2024-05-27 06:51:54,861] - INFO: Evaluate at epoch 3500! +[2024-05-27 06:51:59,447] - INFO: Eval PSNR (max): 38.254 (3445) SSIM (max): 0.9618 (3425) +[2024-05-27 06:51:59,448] - INFO: Eval PSNR (current): 38.232 (3500) SSIM (current): 0.9617 (3500) +[2024-05-27 06:51:59,448] - INFO: Evaluation over. +[2024-05-27 06:52:06,365] - INFO: Epoch 3501/9999, Iter 350000: Loss = 0.016499964520335197, lr = [1.25e-05] +[2024-05-27 06:52:33,630] - INFO: Epoch 3501/9999, Iter 350040: Loss = 0.014738460071384907, lr = [1.25e-05] +[2024-05-27 06:53:00,814] - INFO: Epoch 3501/9999, Iter 350080: Loss = 0.01374984160065651, lr = [1.25e-05] +[2024-05-27 06:53:29,451] - INFO: Epoch 3502/9999, Iter 350120: Loss = 0.01568927802145481, lr = [1.25e-05] +[2024-05-27 06:53:56,684] - INFO: Epoch 3502/9999, Iter 350160: Loss = 0.01658492721617222, lr = [1.25e-05] +[2024-05-27 06:54:25,250] - INFO: Epoch 3503/9999, Iter 350200: Loss = 0.008339756168425083, lr = [1.25e-05] +[2024-05-27 06:54:52,534] - INFO: Epoch 3503/9999, Iter 350240: Loss = 0.023590102791786194, lr = [1.25e-05] +[2024-05-27 06:55:19,712] - INFO: Epoch 3503/9999, Iter 350280: Loss = 0.01197904720902443, lr = [1.25e-05] +[2024-05-27 06:55:48,256] - INFO: Epoch 3504/9999, Iter 350320: Loss = 0.012007707729935646, lr = [1.25e-05] +[2024-05-27 06:56:15,484] - INFO: Epoch 3504/9999, Iter 350360: Loss = 0.009173846803605556, lr = [1.25e-05] +[2024-05-27 06:56:43,884] - INFO: Epoch 3505/9999, Iter 350400: Loss = 0.01618865318596363, lr = [1.25e-05] +[2024-05-27 06:57:11,215] - INFO: Epoch 3505/9999, Iter 350440: Loss = 0.004248315002769232, lr = [1.25e-05] +[2024-05-27 06:57:38,422] - INFO: Epoch 3505/9999, Iter 350480: Loss = 0.01745258830487728, lr = [1.25e-05] +[2024-05-27 06:57:51,700] - INFO: Evaluate at epoch 3505! +[2024-05-27 06:57:56,320] - INFO: Eval PSNR (max): 38.254 (3445) SSIM (max): 0.9618 (3425) +[2024-05-27 06:57:56,320] - INFO: Eval PSNR (current): 38.236 (3505) SSIM (current): 0.9618 (3505) +[2024-05-27 06:57:56,320] - INFO: Evaluation over. +[2024-05-27 06:58:16,690] - INFO: Epoch 3506/9999, Iter 350520: Loss = 0.010030548088252544, lr = [1.25e-05] +[2024-05-27 06:58:43,917] - INFO: Epoch 3506/9999, Iter 350560: Loss = 0.010954801924526691, lr = [1.25e-05] +[2024-05-27 06:59:12,497] - INFO: Epoch 3507/9999, Iter 350600: Loss = 0.01575404778122902, lr = [1.25e-05] +[2024-05-27 06:59:39,718] - INFO: Epoch 3507/9999, Iter 350640: Loss = 0.014966635964810848, lr = [1.25e-05] +[2024-05-27 07:00:06,921] - INFO: Epoch 3507/9999, Iter 350680: Loss = 0.015297154895961285, lr = [1.25e-05] +[2024-05-27 07:00:35,615] - INFO: Epoch 3508/9999, Iter 350720: Loss = 0.011443529278039932, lr = [1.25e-05] +[2024-05-27 07:01:02,827] - INFO: Epoch 3508/9999, Iter 350760: Loss = 0.01264902949333191, lr = [1.25e-05] +[2024-05-27 07:01:31,481] - INFO: Epoch 3509/9999, Iter 350800: Loss = 0.008595919236540794, lr = [1.25e-05] +[2024-05-27 07:01:58,786] - INFO: Epoch 3509/9999, Iter 350840: Loss = 0.019725512713193893, lr = [1.25e-05] +[2024-05-27 07:02:25,968] - INFO: Epoch 3509/9999, Iter 350880: Loss = 0.013462175615131855, lr = [1.25e-05] +[2024-05-27 07:02:54,647] - INFO: Epoch 3510/9999, Iter 350920: Loss = 0.0071617839857935905, lr = [1.25e-05] +[2024-05-27 07:03:21,908] - INFO: Epoch 3510/9999, Iter 350960: Loss = 0.015025139786303043, lr = [1.25e-05] +[2024-05-27 07:03:48,782] - INFO: Evaluate at epoch 3510! +[2024-05-27 07:03:53,440] - INFO: Eval PSNR (max): 38.254 (3445) SSIM (max): 0.9618 (3425) +[2024-05-27 07:03:53,440] - INFO: Eval PSNR (current): 38.219 (3510) SSIM (current): 0.9617 (3510) +[2024-05-27 07:03:53,440] - INFO: Evaluation over. +[2024-05-27 07:04:00,296] - INFO: Epoch 3511/9999, Iter 351000: Loss = 0.010906647890806198, lr = [1.25e-05] +[2024-05-27 07:04:27,579] - INFO: Epoch 3511/9999, Iter 351040: Loss = 0.009227428585290909, lr = [1.25e-05] +[2024-05-27 07:04:54,762] - INFO: Epoch 3511/9999, Iter 351080: Loss = 0.011431952007114887, lr = [1.25e-05] +[2024-05-27 07:05:23,575] - INFO: Epoch 3512/9999, Iter 351120: Loss = 0.016878977417945862, lr = [1.25e-05] +[2024-05-27 07:05:50,739] - INFO: Epoch 3512/9999, Iter 351160: Loss = 0.015642477199435234, lr = [1.25e-05] +[2024-05-27 07:06:19,304] - INFO: Epoch 3513/9999, Iter 351200: Loss = 0.017587855458259583, lr = [1.25e-05] +[2024-05-27 07:06:46,542] - INFO: Epoch 3513/9999, Iter 351240: Loss = 0.012940146028995514, lr = [1.25e-05] +[2024-05-27 07:07:13,828] - INFO: Epoch 3513/9999, Iter 351280: Loss = 0.01590043678879738, lr = [1.25e-05] +[2024-05-27 07:07:42,468] - INFO: Epoch 3514/9999, Iter 351320: Loss = 0.011204301379621029, lr = [1.25e-05] +[2024-05-27 07:08:09,684] - INFO: Epoch 3514/9999, Iter 351360: Loss = 0.012701927684247494, lr = [1.25e-05] +[2024-05-27 07:08:38,125] - INFO: Epoch 3515/9999, Iter 351400: Loss = 0.004168711137026548, lr = [1.25e-05] +[2024-05-27 07:09:05,478] - INFO: Epoch 3515/9999, Iter 351440: Loss = 0.014545758254826069, lr = [1.25e-05] +[2024-05-27 07:09:32,658] - INFO: Epoch 3515/9999, Iter 351480: Loss = 0.010300107300281525, lr = [1.25e-05] +[2024-05-27 07:09:45,952] - INFO: Evaluate at epoch 3515! +[2024-05-27 07:09:50,489] - INFO: Eval PSNR (max): 38.254 (3445) SSIM (max): 0.9618 (3425) +[2024-05-27 07:09:50,489] - INFO: Eval PSNR (current): 38.230 (3515) SSIM (current): 0.9617 (3515) +[2024-05-27 07:09:50,489] - INFO: Evaluation over. +[2024-05-27 07:10:11,084] - INFO: Epoch 3516/9999, Iter 351520: Loss = 0.01342553086578846, lr = [1.25e-05] +[2024-05-27 07:10:38,346] - INFO: Epoch 3516/9999, Iter 351560: Loss = 0.011753053404390812, lr = [1.25e-05] +[2024-05-27 07:11:06,901] - INFO: Epoch 3517/9999, Iter 351600: Loss = 0.008836530148983002, lr = [1.25e-05] +[2024-05-27 07:11:34,222] - INFO: Epoch 3517/9999, Iter 351640: Loss = 0.023292630910873413, lr = [1.25e-05] +[2024-05-27 07:12:01,384] - INFO: Epoch 3517/9999, Iter 351680: Loss = 0.008293429389595985, lr = [1.25e-05] +[2024-05-27 07:12:30,183] - INFO: Epoch 3518/9999, Iter 351720: Loss = 0.012690747156739235, lr = [1.25e-05] +[2024-05-27 07:12:57,436] - INFO: Epoch 3518/9999, Iter 351760: Loss = 0.015057842247188091, lr = [1.25e-05] +[2024-05-27 07:13:26,140] - INFO: Epoch 3519/9999, Iter 351800: Loss = 0.013017997145652771, lr = [1.25e-05] +[2024-05-27 07:13:53,511] - INFO: Epoch 3519/9999, Iter 351840: Loss = 0.010704247280955315, lr = [1.25e-05] +[2024-05-27 07:14:20,674] - INFO: Epoch 3519/9999, Iter 351880: Loss = 0.012776913121342659, lr = [1.25e-05] +[2024-05-27 07:14:49,638] - INFO: Epoch 3520/9999, Iter 351920: Loss = 0.013006044551730156, lr = [1.25e-05] +[2024-05-27 07:15:16,814] - INFO: Epoch 3520/9999, Iter 351960: Loss = 0.0175100639462471, lr = [1.25e-05] +[2024-05-27 07:15:43,756] - INFO: Evaluate at epoch 3520! +[2024-05-27 07:15:48,414] - INFO: Eval PSNR (max): 38.254 (3445) SSIM (max): 0.9618 (3425) +[2024-05-27 07:15:48,414] - INFO: Eval PSNR (current): 38.241 (3520) SSIM (current): 0.9618 (3520) +[2024-05-27 07:15:48,414] - INFO: Evaluation over. +[2024-05-27 07:15:55,444] - INFO: Epoch 3521/9999, Iter 352000: Loss = 0.010434805415570736, lr = [1.25e-05] +[2024-05-27 07:16:22,778] - INFO: Epoch 3521/9999, Iter 352040: Loss = 0.014421937987208366, lr = [1.25e-05] +[2024-05-27 07:16:49,951] - INFO: Epoch 3521/9999, Iter 352080: Loss = 0.01157231256365776, lr = [1.25e-05] +[2024-05-27 07:17:18,670] - INFO: Epoch 3522/9999, Iter 352120: Loss = 0.01853588968515396, lr = [1.25e-05] +[2024-05-27 07:17:45,842] - INFO: Epoch 3522/9999, Iter 352160: Loss = 0.013427399098873138, lr = [1.25e-05] +[2024-05-27 07:18:14,514] - INFO: Epoch 3523/9999, Iter 352200: Loss = 0.014324347488582134, lr = [1.25e-05] +[2024-05-27 07:18:41,818] - INFO: Epoch 3523/9999, Iter 352240: Loss = 0.017879070714116096, lr = [1.25e-05] +[2024-05-27 07:19:08,996] - INFO: Epoch 3523/9999, Iter 352280: Loss = 0.021823540329933167, lr = [1.25e-05] +[2024-05-27 07:19:37,818] - INFO: Epoch 3524/9999, Iter 352320: Loss = 0.011074534617364407, lr = [1.25e-05] +[2024-05-27 07:20:05,058] - INFO: Epoch 3524/9999, Iter 352360: Loss = 0.003934943582862616, lr = [1.25e-05] +[2024-05-27 07:20:33,481] - INFO: Epoch 3525/9999, Iter 352400: Loss = 0.011392873711884022, lr = [1.25e-05] +[2024-05-27 07:21:00,772] - INFO: Epoch 3525/9999, Iter 352440: Loss = 0.011488951742649078, lr = [1.25e-05] +[2024-05-27 07:21:27,952] - INFO: Epoch 3525/9999, Iter 352480: Loss = 0.009370926767587662, lr = [1.25e-05] +[2024-05-27 07:21:41,280] - INFO: Evaluate at epoch 3525! +[2024-05-27 07:21:45,841] - INFO: Eval PSNR (max): 38.254 (3445) SSIM (max): 0.9618 (3425) +[2024-05-27 07:21:45,841] - INFO: Eval PSNR (current): 38.225 (3525) SSIM (current): 0.9617 (3525) +[2024-05-27 07:21:45,841] - INFO: Evaluation over. +[2024-05-27 07:22:06,230] - INFO: Epoch 3526/9999, Iter 352520: Loss = 0.010218657553195953, lr = [1.25e-05] +[2024-05-27 07:22:33,461] - INFO: Epoch 3526/9999, Iter 352560: Loss = 0.020240802317857742, lr = [1.25e-05] +[2024-05-27 07:23:02,012] - INFO: Epoch 3527/9999, Iter 352600: Loss = 0.004639592487365007, lr = [1.25e-05] +[2024-05-27 07:23:29,341] - INFO: Epoch 3527/9999, Iter 352640: Loss = 0.007709043100476265, lr = [1.25e-05] +[2024-05-27 07:23:56,574] - INFO: Epoch 3527/9999, Iter 352680: Loss = 0.013700691051781178, lr = [1.25e-05] +[2024-05-27 07:24:25,131] - INFO: Epoch 3528/9999, Iter 352720: Loss = 0.008794829249382019, lr = [1.25e-05] +[2024-05-27 07:24:52,321] - INFO: Epoch 3528/9999, Iter 352760: Loss = 0.008461530320346355, lr = [1.25e-05] +[2024-05-27 07:25:20,754] - INFO: Epoch 3529/9999, Iter 352800: Loss = 0.006897779647260904, lr = [1.25e-05] +[2024-05-27 07:25:48,087] - INFO: Epoch 3529/9999, Iter 352840: Loss = 0.00820842944085598, lr = [1.25e-05] +[2024-05-27 07:26:15,302] - INFO: Epoch 3529/9999, Iter 352880: Loss = 0.015680912882089615, lr = [1.25e-05] +[2024-05-27 07:26:43,798] - INFO: Epoch 3530/9999, Iter 352920: Loss = 0.010181115940213203, lr = [1.25e-05] +[2024-05-27 07:27:11,079] - INFO: Epoch 3530/9999, Iter 352960: Loss = 0.015460443682968616, lr = [1.25e-05] +[2024-05-27 07:27:38,022] - INFO: Evaluate at epoch 3530! +[2024-05-27 07:27:42,738] - INFO: Eval PSNR (max): 38.254 (3445) SSIM (max): 0.9618 (3425) +[2024-05-27 07:27:42,739] - INFO: Eval PSNR (current): 38.235 (3530) SSIM (current): 0.9617 (3530) +[2024-05-27 07:27:42,739] - INFO: Evaluation over. +[2024-05-27 07:27:49,656] - INFO: Epoch 3531/9999, Iter 353000: Loss = 0.011415095999836922, lr = [1.25e-05] +[2024-05-27 07:28:16,978] - INFO: Epoch 3531/9999, Iter 353040: Loss = 0.010769118554890156, lr = [1.25e-05] +[2024-05-27 07:28:44,210] - INFO: Epoch 3531/9999, Iter 353080: Loss = 0.01885322295129299, lr = [1.25e-05] +[2024-05-27 07:29:12,922] - INFO: Epoch 3532/9999, Iter 353120: Loss = 0.019444560632109642, lr = [1.25e-05] +[2024-05-27 07:29:40,079] - INFO: Epoch 3532/9999, Iter 353160: Loss = 0.012480197474360466, lr = [1.25e-05] +[2024-05-27 07:30:08,723] - INFO: Epoch 3533/9999, Iter 353200: Loss = 0.007452392019331455, lr = [1.25e-05] +[2024-05-27 07:30:35,982] - INFO: Epoch 3533/9999, Iter 353240: Loss = 0.009138285182416439, lr = [1.25e-05] +[2024-05-27 07:31:03,182] - INFO: Epoch 3533/9999, Iter 353280: Loss = 0.016881726682186127, lr = [1.25e-05] +[2024-05-27 07:31:31,712] - INFO: Epoch 3534/9999, Iter 353320: Loss = 0.006620933301746845, lr = [1.25e-05] +[2024-05-27 07:31:58,906] - INFO: Epoch 3534/9999, Iter 353360: Loss = 0.02125665917992592, lr = [1.25e-05] +[2024-05-27 07:32:27,369] - INFO: Epoch 3535/9999, Iter 353400: Loss = 0.01470447052270174, lr = [1.25e-05] +[2024-05-27 07:32:54,665] - INFO: Epoch 3535/9999, Iter 353440: Loss = 0.0091458261013031, lr = [1.25e-05] +[2024-05-27 07:33:21,834] - INFO: Epoch 3535/9999, Iter 353480: Loss = 0.01270171720534563, lr = [1.25e-05] +[2024-05-27 07:33:35,135] - INFO: Evaluate at epoch 3535! +[2024-05-27 07:33:44,960] - INFO: Eval PSNR (max): 38.258 (3535) SSIM (max): 0.9618 (3425) +[2024-05-27 07:33:44,960] - INFO: Eval PSNR (current): 38.258 (3535) SSIM (current): 0.9618 (3535) +[2024-05-27 07:33:44,960] - INFO: Evaluation over. +[2024-05-27 07:34:05,162] - INFO: Epoch 3536/9999, Iter 353520: Loss = 0.010104679502546787, lr = [1.25e-05] +[2024-05-27 07:34:32,362] - INFO: Epoch 3536/9999, Iter 353560: Loss = 0.009029765613377094, lr = [1.25e-05] +[2024-05-27 07:35:00,918] - INFO: Epoch 3537/9999, Iter 353600: Loss = 0.011543748900294304, lr = [1.25e-05] +[2024-05-27 07:35:28,170] - INFO: Epoch 3537/9999, Iter 353640: Loss = 0.01984853856265545, lr = [1.25e-05] +[2024-05-27 07:35:55,342] - INFO: Epoch 3537/9999, Iter 353680: Loss = 0.015964636579155922, lr = [1.25e-05] +[2024-05-27 07:36:24,062] - INFO: Epoch 3538/9999, Iter 353720: Loss = 0.008067839778959751, lr = [1.25e-05] +[2024-05-27 07:36:51,237] - INFO: Epoch 3538/9999, Iter 353760: Loss = 0.010005688294768333, lr = [1.25e-05] +[2024-05-27 07:37:20,102] - INFO: Epoch 3539/9999, Iter 353800: Loss = 0.010886958800256252, lr = [1.25e-05] +[2024-05-27 07:37:47,419] - INFO: Epoch 3539/9999, Iter 353840: Loss = 0.018877414986491203, lr = [1.25e-05] +[2024-05-27 07:38:14,718] - INFO: Epoch 3539/9999, Iter 353880: Loss = 0.01790151745080948, lr = [1.25e-05] +[2024-05-27 07:38:43,331] - INFO: Epoch 3540/9999, Iter 353920: Loss = 0.009424472227692604, lr = [1.25e-05] +[2024-05-27 07:39:10,566] - INFO: Epoch 3540/9999, Iter 353960: Loss = 0.006981649901717901, lr = [1.25e-05] +[2024-05-27 07:39:37,414] - INFO: Evaluate at epoch 3540! +[2024-05-27 07:39:42,012] - INFO: Eval PSNR (max): 38.258 (3535) SSIM (max): 0.9618 (3425) +[2024-05-27 07:39:42,012] - INFO: Eval PSNR (current): 38.223 (3540) SSIM (current): 0.9617 (3540) +[2024-05-27 07:39:42,012] - INFO: Evaluation over. +[2024-05-27 07:39:48,941] - INFO: Epoch 3541/9999, Iter 354000: Loss = 0.017470115795731544, lr = [1.25e-05] +[2024-05-27 07:40:16,204] - INFO: Epoch 3541/9999, Iter 354040: Loss = 0.00799357146024704, lr = [1.25e-05] +[2024-05-27 07:40:43,371] - INFO: Epoch 3541/9999, Iter 354080: Loss = 0.011439031921327114, lr = [1.25e-05] +[2024-05-27 07:41:12,054] - INFO: Epoch 3542/9999, Iter 354120: Loss = 0.012146102264523506, lr = [1.25e-05] +[2024-05-27 07:41:39,318] - INFO: Epoch 3542/9999, Iter 354160: Loss = 0.014566943049430847, lr = [1.25e-05] +[2024-05-27 07:42:07,889] - INFO: Epoch 3543/9999, Iter 354200: Loss = 0.007488291244953871, lr = [1.25e-05] +[2024-05-27 07:42:35,234] - INFO: Epoch 3543/9999, Iter 354240: Loss = 0.01370195858180523, lr = [1.25e-05] +[2024-05-27 07:43:02,480] - INFO: Epoch 3543/9999, Iter 354280: Loss = 0.024010661989450455, lr = [1.25e-05] +[2024-05-27 07:43:31,174] - INFO: Epoch 3544/9999, Iter 354320: Loss = 0.014884533360600471, lr = [1.25e-05] +[2024-05-27 07:43:58,354] - INFO: Epoch 3544/9999, Iter 354360: Loss = 0.013296268880367279, lr = [1.25e-05] +[2024-05-27 07:44:26,730] - INFO: Epoch 3545/9999, Iter 354400: Loss = 0.012129600159823895, lr = [1.25e-05] +[2024-05-27 07:44:54,026] - INFO: Epoch 3545/9999, Iter 354440: Loss = 0.010639691725373268, lr = [1.25e-05] +[2024-05-27 07:45:21,227] - INFO: Epoch 3545/9999, Iter 354480: Loss = 0.012715126387774944, lr = [1.25e-05] +[2024-05-27 07:45:34,501] - INFO: Evaluate at epoch 3545! +[2024-05-27 07:45:39,151] - INFO: Eval PSNR (max): 38.258 (3535) SSIM (max): 0.9618 (3425) +[2024-05-27 07:45:39,151] - INFO: Eval PSNR (current): 38.233 (3545) SSIM (current): 0.9618 (3545) +[2024-05-27 07:45:39,151] - INFO: Evaluation over. +[2024-05-27 07:45:59,594] - INFO: Epoch 3546/9999, Iter 354520: Loss = 0.004646875895559788, lr = [1.25e-05] +[2024-05-27 07:46:26,854] - INFO: Epoch 3546/9999, Iter 354560: Loss = 0.009278614073991776, lr = [1.25e-05] +[2024-05-27 07:46:57,382] - INFO: Epoch 3547/9999, Iter 354600: Loss = 0.012465703301131725, lr = [1.25e-05] +[2024-05-27 07:47:27,128] - INFO: Epoch 3547/9999, Iter 354640: Loss = 0.011612324975430965, lr = [1.25e-05] +[2024-05-27 07:47:57,604] - INFO: Epoch 3547/9999, Iter 354680: Loss = 0.011246665380895138, lr = [1.25e-05] +[2024-05-27 07:48:29,851] - INFO: Epoch 3548/9999, Iter 354720: Loss = 0.01033649779856205, lr = [1.25e-05] +[2024-05-27 07:48:57,107] - INFO: Epoch 3548/9999, Iter 354760: Loss = 0.011584288440644741, lr = [1.25e-05] +[2024-05-27 07:49:27,094] - INFO: Epoch 3549/9999, Iter 354800: Loss = 0.022170640528202057, lr = [1.25e-05] +[2024-05-27 07:49:54,384] - INFO: Epoch 3549/9999, Iter 354840: Loss = 0.006269919220358133, lr = [1.25e-05] +[2024-05-27 07:50:22,778] - INFO: Epoch 3549/9999, Iter 354880: Loss = 0.01758420281112194, lr = [1.25e-05] +[2024-05-27 07:50:51,887] - INFO: Epoch 3550/9999, Iter 354920: Loss = 0.01855377107858658, lr = [1.25e-05] +[2024-05-27 07:51:20,210] - INFO: Epoch 3550/9999, Iter 354960: Loss = 0.013449507765471935, lr = [1.25e-05] +[2024-05-27 07:51:47,204] - INFO: Evaluate at epoch 3550! +[2024-05-27 07:51:51,860] - INFO: Eval PSNR (max): 38.258 (3535) SSIM (max): 0.9618 (3425) +[2024-05-27 07:51:51,860] - INFO: Eval PSNR (current): 38.230 (3550) SSIM (current): 0.9617 (3550) +[2024-05-27 07:51:51,860] - INFO: Evaluation over. +[2024-05-27 07:52:03,921] - INFO: Epoch 3551/9999, Iter 355000: Loss = 0.009527146816253662, lr = [1.25e-05] +[2024-05-27 07:52:31,223] - INFO: Epoch 3551/9999, Iter 355040: Loss = 0.017517564818263054, lr = [1.25e-05] +[2024-05-27 07:52:59,688] - INFO: Epoch 3551/9999, Iter 355080: Loss = 0.010513218119740486, lr = [1.25e-05] +[2024-05-27 07:53:28,644] - INFO: Epoch 3552/9999, Iter 355120: Loss = 0.007582423742860556, lr = [1.25e-05] +[2024-05-27 07:53:56,745] - INFO: Epoch 3552/9999, Iter 355160: Loss = 0.01018344797194004, lr = [1.25e-05] +[2024-05-27 07:54:26,400] - INFO: Epoch 3553/9999, Iter 355200: Loss = 0.017238840460777283, lr = [1.25e-05] +[2024-05-27 07:54:54,014] - INFO: Epoch 3553/9999, Iter 355240: Loss = 0.015137733891606331, lr = [1.25e-05] +[2024-05-27 07:55:21,340] - INFO: Epoch 3553/9999, Iter 355280: Loss = 0.008450303226709366, lr = [1.25e-05] +[2024-05-27 07:55:49,986] - INFO: Epoch 3554/9999, Iter 355320: Loss = 0.010253522545099258, lr = [1.25e-05] +[2024-05-27 07:56:17,185] - INFO: Epoch 3554/9999, Iter 355360: Loss = 0.007341747172176838, lr = [1.25e-05] +[2024-05-27 07:56:45,685] - INFO: Epoch 3555/9999, Iter 355400: Loss = 0.01499136257916689, lr = [1.25e-05] +[2024-05-27 07:57:12,988] - INFO: Epoch 3555/9999, Iter 355440: Loss = 0.011904621496796608, lr = [1.25e-05] +[2024-05-27 07:57:40,143] - INFO: Epoch 3555/9999, Iter 355480: Loss = 0.011950060725212097, lr = [1.25e-05] +[2024-05-27 07:57:53,414] - INFO: Evaluate at epoch 3555! +[2024-05-27 07:57:58,072] - INFO: Eval PSNR (max): 38.258 (3535) SSIM (max): 0.9618 (3425) +[2024-05-27 07:57:58,072] - INFO: Eval PSNR (current): 38.242 (3555) SSIM (current): 0.9617 (3555) +[2024-05-27 07:57:58,072] - INFO: Evaluation over. +[2024-05-27 07:58:19,018] - INFO: Epoch 3556/9999, Iter 355520: Loss = 0.009495907463133335, lr = [1.25e-05] +[2024-05-27 07:58:46,207] - INFO: Epoch 3556/9999, Iter 355560: Loss = 0.01666010543704033, lr = [1.25e-05] +[2024-05-27 07:59:14,671] - INFO: Epoch 3557/9999, Iter 355600: Loss = 0.017027640715241432, lr = [1.25e-05] +[2024-05-27 07:59:41,901] - INFO: Epoch 3557/9999, Iter 355640: Loss = 0.014365402050316334, lr = [1.25e-05] +[2024-05-27 08:00:09,098] - INFO: Epoch 3557/9999, Iter 355680: Loss = 0.015976712107658386, lr = [1.25e-05] +[2024-05-27 08:00:37,726] - INFO: Epoch 3558/9999, Iter 355720: Loss = 0.020760074257850647, lr = [1.25e-05] +[2024-05-27 08:01:04,970] - INFO: Epoch 3558/9999, Iter 355760: Loss = 0.007642585318535566, lr = [1.25e-05] +[2024-05-27 08:01:33,468] - INFO: Epoch 3559/9999, Iter 355800: Loss = 0.02279987372457981, lr = [1.25e-05] +[2024-05-27 08:02:00,796] - INFO: Epoch 3559/9999, Iter 355840: Loss = 0.008293415419757366, lr = [1.25e-05] +[2024-05-27 08:02:27,930] - INFO: Epoch 3559/9999, Iter 355880: Loss = 0.006556022446602583, lr = [1.25e-05] +[2024-05-27 08:02:56,441] - INFO: Epoch 3560/9999, Iter 355920: Loss = 0.020071808248758316, lr = [1.25e-05] +[2024-05-27 08:03:23,590] - INFO: Epoch 3560/9999, Iter 355960: Loss = 0.010230904445052147, lr = [1.25e-05] +[2024-05-27 08:03:50,472] - INFO: Evaluate at epoch 3560! +[2024-05-27 08:03:55,100] - INFO: Eval PSNR (max): 38.258 (3535) SSIM (max): 0.9618 (3425) +[2024-05-27 08:03:55,100] - INFO: Eval PSNR (current): 38.251 (3560) SSIM (current): 0.9617 (3560) +[2024-05-27 08:03:55,100] - INFO: Evaluation over. +[2024-05-27 08:04:02,087] - INFO: Epoch 3561/9999, Iter 356000: Loss = 0.0050792028196156025, lr = [1.25e-05] +[2024-05-27 08:04:29,329] - INFO: Epoch 3561/9999, Iter 356040: Loss = 0.014064136892557144, lr = [1.25e-05] +[2024-05-27 08:04:56,529] - INFO: Epoch 3561/9999, Iter 356080: Loss = 0.014045700430870056, lr = [1.25e-05] +[2024-05-27 08:05:25,354] - INFO: Epoch 3562/9999, Iter 356120: Loss = 0.017994804307818413, lr = [1.25e-05] +[2024-05-27 08:05:52,510] - INFO: Epoch 3562/9999, Iter 356160: Loss = 0.01038680225610733, lr = [1.25e-05] +[2024-05-27 08:06:21,024] - INFO: Epoch 3563/9999, Iter 356200: Loss = 0.016081150621175766, lr = [1.25e-05] +[2024-05-27 08:06:48,262] - INFO: Epoch 3563/9999, Iter 356240: Loss = 0.008868297562003136, lr = [1.25e-05] +[2024-05-27 08:07:15,521] - INFO: Epoch 3563/9999, Iter 356280: Loss = 0.014607273042201996, lr = [1.25e-05] +[2024-05-27 08:07:44,286] - INFO: Epoch 3564/9999, Iter 356320: Loss = 0.013620303943753242, lr = [1.25e-05] +[2024-05-27 08:08:11,438] - INFO: Epoch 3564/9999, Iter 356360: Loss = 0.007472796831279993, lr = [1.25e-05] +[2024-05-27 08:08:39,928] - INFO: Epoch 3565/9999, Iter 356400: Loss = 0.010697649791836739, lr = [1.25e-05] +[2024-05-27 08:09:07,170] - INFO: Epoch 3565/9999, Iter 356440: Loss = 0.015128013677895069, lr = [1.25e-05] +[2024-05-27 08:09:34,414] - INFO: Epoch 3565/9999, Iter 356480: Loss = 0.006393524818122387, lr = [1.25e-05] +[2024-05-27 08:09:47,702] - INFO: Evaluate at epoch 3565! +[2024-05-27 08:09:52,468] - INFO: Eval PSNR (max): 38.258 (3535) SSIM (max): 0.9618 (3425) +[2024-05-27 08:09:52,469] - INFO: Eval PSNR (current): 38.249 (3565) SSIM (current): 0.9617 (3565) +[2024-05-27 08:09:52,469] - INFO: Evaluation over. +[2024-05-27 08:10:12,798] - INFO: Epoch 3566/9999, Iter 356520: Loss = 0.009086480364203453, lr = [1.25e-05] +[2024-05-27 08:10:39,983] - INFO: Epoch 3566/9999, Iter 356560: Loss = 0.01241894718259573, lr = [1.25e-05] +[2024-05-27 08:11:08,685] - INFO: Epoch 3567/9999, Iter 356600: Loss = 0.008855667896568775, lr = [1.25e-05] +[2024-05-27 08:11:36,006] - INFO: Epoch 3567/9999, Iter 356640: Loss = 0.010013681836426258, lr = [1.25e-05] +[2024-05-27 08:12:03,210] - INFO: Epoch 3567/9999, Iter 356680: Loss = 0.014467052184045315, lr = [1.25e-05] +[2024-05-27 08:12:31,719] - INFO: Epoch 3568/9999, Iter 356720: Loss = 0.01854376494884491, lr = [1.25e-05] +[2024-05-27 08:12:58,842] - INFO: Epoch 3568/9999, Iter 356760: Loss = 0.02172086015343666, lr = [1.25e-05] +[2024-05-27 08:13:27,584] - INFO: Epoch 3569/9999, Iter 356800: Loss = 0.016062498092651367, lr = [1.25e-05] +[2024-05-27 08:13:54,950] - INFO: Epoch 3569/9999, Iter 356840: Loss = 0.008719250559806824, lr = [1.25e-05] +[2024-05-27 08:14:22,155] - INFO: Epoch 3569/9999, Iter 356880: Loss = 0.006645799148827791, lr = [1.25e-05] +[2024-05-27 08:14:50,836] - INFO: Epoch 3570/9999, Iter 356920: Loss = 0.01140669360756874, lr = [1.25e-05] +[2024-05-27 08:15:17,959] - INFO: Epoch 3570/9999, Iter 356960: Loss = 0.00879341084510088, lr = [1.25e-05] +[2024-05-27 08:15:44,885] - INFO: Evaluate at epoch 3570! +[2024-05-27 08:15:49,603] - INFO: Eval PSNR (max): 38.258 (3535) SSIM (max): 0.9618 (3425) +[2024-05-27 08:15:49,603] - INFO: Eval PSNR (current): 38.244 (3570) SSIM (current): 0.9618 (3570) +[2024-05-27 08:15:49,603] - INFO: Evaluation over. +[2024-05-27 08:15:56,440] - INFO: Epoch 3571/9999, Iter 357000: Loss = 0.012844986282289028, lr = [1.25e-05] +[2024-05-27 08:16:23,718] - INFO: Epoch 3571/9999, Iter 357040: Loss = 0.00896088220179081, lr = [1.25e-05] +[2024-05-27 08:16:50,952] - INFO: Epoch 3571/9999, Iter 357080: Loss = 0.013967907987535, lr = [1.25e-05] +[2024-05-27 08:17:19,638] - INFO: Epoch 3572/9999, Iter 357120: Loss = 0.012347317300736904, lr = [1.25e-05] +[2024-05-27 08:17:46,860] - INFO: Epoch 3572/9999, Iter 357160: Loss = 0.010826622135937214, lr = [1.25e-05] +[2024-05-27 08:18:15,176] - INFO: Epoch 3573/9999, Iter 357200: Loss = 0.0064173596911132336, lr = [1.25e-05] +[2024-05-27 08:18:42,498] - INFO: Epoch 3573/9999, Iter 357240: Loss = 0.01013740710914135, lr = [1.25e-05] +[2024-05-27 08:19:09,735] - INFO: Epoch 3573/9999, Iter 357280: Loss = 0.01297663152217865, lr = [1.25e-05] +[2024-05-27 08:19:38,578] - INFO: Epoch 3574/9999, Iter 357320: Loss = 0.013640627264976501, lr = [1.25e-05] +[2024-05-27 08:20:05,798] - INFO: Epoch 3574/9999, Iter 357360: Loss = 0.011140352115035057, lr = [1.25e-05] +[2024-05-27 08:20:34,280] - INFO: Epoch 3575/9999, Iter 357400: Loss = 0.01289377361536026, lr = [1.25e-05] +[2024-05-27 08:21:01,548] - INFO: Epoch 3575/9999, Iter 357440: Loss = 0.012240523472428322, lr = [1.25e-05] +[2024-05-27 08:21:28,750] - INFO: Epoch 3575/9999, Iter 357480: Loss = 0.020724846050143242, lr = [1.25e-05] +[2024-05-27 08:21:42,014] - INFO: Evaluate at epoch 3575! +[2024-05-27 08:21:46,581] - INFO: Eval PSNR (max): 38.258 (3535) SSIM (max): 0.9618 (3425) +[2024-05-27 08:21:46,582] - INFO: Eval PSNR (current): 38.248 (3575) SSIM (current): 0.9618 (3575) +[2024-05-27 08:21:46,582] - INFO: Evaluation over. +[2024-05-27 08:22:06,939] - INFO: Epoch 3576/9999, Iter 357520: Loss = 0.009419266134500504, lr = [1.25e-05] +[2024-05-27 08:22:34,123] - INFO: Epoch 3576/9999, Iter 357560: Loss = 0.012272507883608341, lr = [1.25e-05] +[2024-05-27 08:23:02,741] - INFO: Epoch 3577/9999, Iter 357600: Loss = 0.008636162616312504, lr = [1.25e-05] +[2024-05-27 08:23:30,033] - INFO: Epoch 3577/9999, Iter 357640: Loss = 0.014885926619172096, lr = [1.25e-05] +[2024-05-27 08:23:57,188] - INFO: Epoch 3577/9999, Iter 357680: Loss = 0.011772734113037586, lr = [1.25e-05] +[2024-05-27 08:24:25,805] - INFO: Epoch 3578/9999, Iter 357720: Loss = 0.01647711731493473, lr = [1.25e-05] +[2024-05-27 08:24:52,980] - INFO: Epoch 3578/9999, Iter 357760: Loss = 0.022115591913461685, lr = [1.25e-05] +[2024-05-27 08:25:21,487] - INFO: Epoch 3579/9999, Iter 357800: Loss = 0.009779202751815319, lr = [1.25e-05] +[2024-05-27 08:25:48,788] - INFO: Epoch 3579/9999, Iter 357840: Loss = 0.01255301758646965, lr = [1.25e-05] +[2024-05-27 08:26:16,022] - INFO: Epoch 3579/9999, Iter 357880: Loss = 0.01186672318726778, lr = [1.25e-05] +[2024-05-27 08:26:44,535] - INFO: Epoch 3580/9999, Iter 357920: Loss = 0.009479719214141369, lr = [1.25e-05] +[2024-05-27 08:27:11,737] - INFO: Epoch 3580/9999, Iter 357960: Loss = 0.007041340693831444, lr = [1.25e-05] +[2024-05-27 08:27:38,646] - INFO: Evaluate at epoch 3580! +[2024-05-27 08:27:43,371] - INFO: Eval PSNR (max): 38.258 (3535) SSIM (max): 0.9618 (3425) +[2024-05-27 08:27:43,371] - INFO: Eval PSNR (current): 38.234 (3580) SSIM (current): 0.9618 (3580) +[2024-05-27 08:27:43,371] - INFO: Evaluation over. +[2024-05-27 08:27:49,974] - INFO: Epoch 3581/9999, Iter 358000: Loss = 0.00665476405993104, lr = [1.25e-05] +[2024-05-27 08:28:17,209] - INFO: Epoch 3581/9999, Iter 358040: Loss = 0.020360372960567474, lr = [1.25e-05] +[2024-05-27 08:28:44,426] - INFO: Epoch 3581/9999, Iter 358080: Loss = 0.012959299609065056, lr = [1.25e-05] +[2024-05-27 08:29:13,054] - INFO: Epoch 3582/9999, Iter 358120: Loss = 0.014213098213076591, lr = [1.25e-05] +[2024-05-27 08:29:40,290] - INFO: Epoch 3582/9999, Iter 358160: Loss = 0.01099472027271986, lr = [1.25e-05] +[2024-05-27 08:30:08,812] - INFO: Epoch 3583/9999, Iter 358200: Loss = 0.013583142310380936, lr = [1.25e-05] +[2024-05-27 08:30:36,083] - INFO: Epoch 3583/9999, Iter 358240: Loss = 0.019244015216827393, lr = [1.25e-05] +[2024-05-27 08:31:03,370] - INFO: Epoch 3583/9999, Iter 358280: Loss = 0.009272298775613308, lr = [1.25e-05] +[2024-05-27 08:31:32,078] - INFO: Epoch 3584/9999, Iter 358320: Loss = 0.011570334434509277, lr = [1.25e-05] +[2024-05-27 08:31:59,318] - INFO: Epoch 3584/9999, Iter 358360: Loss = 0.01698690839111805, lr = [1.25e-05] +[2024-05-27 08:32:27,730] - INFO: Epoch 3585/9999, Iter 358400: Loss = 0.013084269128739834, lr = [1.25e-05] +[2024-05-27 08:32:55,018] - INFO: Epoch 3585/9999, Iter 358440: Loss = 0.0065732840448617935, lr = [1.25e-05] +[2024-05-27 08:33:22,190] - INFO: Epoch 3585/9999, Iter 358480: Loss = 0.014729049988090992, lr = [1.25e-05] +[2024-05-27 08:33:35,443] - INFO: Evaluate at epoch 3585! +[2024-05-27 08:33:40,096] - INFO: Eval PSNR (max): 38.258 (3535) SSIM (max): 0.9618 (3425) +[2024-05-27 08:33:40,096] - INFO: Eval PSNR (current): 38.239 (3585) SSIM (current): 0.9617 (3585) +[2024-05-27 08:33:40,096] - INFO: Evaluation over. +[2024-05-27 08:34:00,719] - INFO: Epoch 3586/9999, Iter 358520: Loss = 0.017543349415063858, lr = [1.25e-05] +[2024-05-27 08:34:27,993] - INFO: Epoch 3586/9999, Iter 358560: Loss = 0.014357979409396648, lr = [1.25e-05] +[2024-05-27 08:34:56,869] - INFO: Epoch 3587/9999, Iter 358600: Loss = 0.015551206655800343, lr = [1.25e-05] +[2024-05-27 08:35:24,234] - INFO: Epoch 3587/9999, Iter 358640: Loss = 0.012651260010898113, lr = [1.25e-05] +[2024-05-27 08:35:51,433] - INFO: Epoch 3587/9999, Iter 358680: Loss = 0.010344596579670906, lr = [1.25e-05] +[2024-05-27 08:36:20,046] - INFO: Epoch 3588/9999, Iter 358720: Loss = 0.017898939549922943, lr = [1.25e-05] +[2024-05-27 08:36:47,247] - INFO: Epoch 3588/9999, Iter 358760: Loss = 0.012443214654922485, lr = [1.25e-05] +[2024-05-27 08:37:15,733] - INFO: Epoch 3589/9999, Iter 358800: Loss = 0.012935886159539223, lr = [1.25e-05] +[2024-05-27 08:37:43,043] - INFO: Epoch 3589/9999, Iter 358840: Loss = 0.017407787963747978, lr = [1.25e-05] +[2024-05-27 08:38:10,198] - INFO: Epoch 3589/9999, Iter 358880: Loss = 0.015398725867271423, lr = [1.25e-05] +[2024-05-27 08:38:38,698] - INFO: Epoch 3590/9999, Iter 358920: Loss = 0.013315461575984955, lr = [1.25e-05] +[2024-05-27 08:39:05,914] - INFO: Epoch 3590/9999, Iter 358960: Loss = 0.011883429251611233, lr = [1.25e-05] +[2024-05-27 08:39:32,873] - INFO: Evaluate at epoch 3590! +[2024-05-27 08:39:37,502] - INFO: Eval PSNR (max): 38.258 (3535) SSIM (max): 0.9618 (3425) +[2024-05-27 08:39:37,502] - INFO: Eval PSNR (current): 38.236 (3590) SSIM (current): 0.9617 (3590) +[2024-05-27 08:39:37,502] - INFO: Evaluation over. +[2024-05-27 08:39:44,597] - INFO: Epoch 3591/9999, Iter 359000: Loss = 0.007693628314882517, lr = [1.25e-05] +[2024-05-27 08:40:11,990] - INFO: Epoch 3591/9999, Iter 359040: Loss = 0.012117275968194008, lr = [1.25e-05] +[2024-05-27 08:40:39,210] - INFO: Epoch 3591/9999, Iter 359080: Loss = 0.014091645367443562, lr = [1.25e-05] +[2024-05-27 08:41:08,014] - INFO: Epoch 3592/9999, Iter 359120: Loss = 0.012066487222909927, lr = [1.25e-05] +[2024-05-27 08:41:35,183] - INFO: Epoch 3592/9999, Iter 359160: Loss = 0.018218500539660454, lr = [1.25e-05] +[2024-05-27 08:42:03,940] - INFO: Epoch 3593/9999, Iter 359200: Loss = 0.008028528653085232, lr = [1.25e-05] +[2024-05-27 08:42:31,294] - INFO: Epoch 3593/9999, Iter 359240: Loss = 0.011350417509675026, lr = [1.25e-05] +[2024-05-27 08:42:58,467] - INFO: Epoch 3593/9999, Iter 359280: Loss = 0.012100900523364544, lr = [1.25e-05] +[2024-05-27 08:43:26,955] - INFO: Epoch 3594/9999, Iter 359320: Loss = 0.015280216932296753, lr = [1.25e-05] +[2024-05-27 08:43:54,142] - INFO: Epoch 3594/9999, Iter 359360: Loss = 0.012402368709445, lr = [1.25e-05] +[2024-05-27 08:44:22,534] - INFO: Epoch 3595/9999, Iter 359400: Loss = 0.008735278621315956, lr = [1.25e-05] +[2024-05-27 08:44:49,856] - INFO: Epoch 3595/9999, Iter 359440: Loss = 0.01216144673526287, lr = [1.25e-05] +[2024-05-27 08:45:17,043] - INFO: Epoch 3595/9999, Iter 359480: Loss = 0.01222207397222519, lr = [1.25e-05] +[2024-05-27 08:45:30,286] - INFO: Evaluate at epoch 3595! +[2024-05-27 08:45:34,926] - INFO: Eval PSNR (max): 38.258 (3535) SSIM (max): 0.9618 (3425) +[2024-05-27 08:45:34,926] - INFO: Eval PSNR (current): 38.248 (3595) SSIM (current): 0.9618 (3595) +[2024-05-27 08:45:34,926] - INFO: Evaluation over. +[2024-05-27 08:45:55,518] - INFO: Epoch 3596/9999, Iter 359520: Loss = 0.006146091967821121, lr = [1.25e-05] +[2024-05-27 08:46:22,714] - INFO: Epoch 3596/9999, Iter 359560: Loss = 0.012523019686341286, lr = [1.25e-05] +[2024-05-27 08:46:51,437] - INFO: Epoch 3597/9999, Iter 359600: Loss = 0.01632291078567505, lr = [1.25e-05] +[2024-05-27 08:47:18,721] - INFO: Epoch 3597/9999, Iter 359640: Loss = 0.01615210808813572, lr = [1.25e-05] +[2024-05-27 08:47:45,862] - INFO: Epoch 3597/9999, Iter 359680: Loss = 0.013404116034507751, lr = [1.25e-05] +[2024-05-27 08:48:14,469] - INFO: Epoch 3598/9999, Iter 359720: Loss = 0.012959069572389126, lr = [1.25e-05] +[2024-05-27 08:48:41,674] - INFO: Epoch 3598/9999, Iter 359760: Loss = 0.016959387809038162, lr = [1.25e-05] +[2024-05-27 08:49:10,386] - INFO: Epoch 3599/9999, Iter 359800: Loss = 0.014837253838777542, lr = [1.25e-05] +[2024-05-27 08:49:37,790] - INFO: Epoch 3599/9999, Iter 359840: Loss = 0.01782868802547455, lr = [1.25e-05] +[2024-05-27 08:50:04,966] - INFO: Epoch 3599/9999, Iter 359880: Loss = 0.012568562291562557, lr = [1.25e-05] +[2024-05-27 08:50:33,922] - INFO: Epoch 3600/9999, Iter 359920: Loss = 0.017131969332695007, lr = [1.25e-05] +[2024-05-27 08:51:01,107] - INFO: Epoch 3600/9999, Iter 359960: Loss = 0.011403818614780903, lr = [1.25e-05] +[2024-05-27 08:51:27,980] - INFO: Evaluate at epoch 3600! +[2024-05-27 08:51:38,050] - INFO: Eval PSNR (max): 38.258 (3535) SSIM (max): 0.9618 (3600) +[2024-05-27 08:51:38,050] - INFO: Eval PSNR (current): 38.240 (3600) SSIM (current): 0.9618 (3600) +[2024-05-27 08:51:38,050] - INFO: Evaluation over. +[2024-05-27 08:51:44,858] - INFO: Epoch 3601/9999, Iter 360000: Loss = 0.016485009342432022, lr = [1.25e-05] +[2024-05-27 08:52:12,139] - INFO: Epoch 3601/9999, Iter 360040: Loss = 0.012961811386048794, lr = [1.25e-05] +[2024-05-27 08:52:39,313] - INFO: Epoch 3601/9999, Iter 360080: Loss = 0.012527820654213428, lr = [1.25e-05] +[2024-05-27 08:53:08,009] - INFO: Epoch 3602/9999, Iter 360120: Loss = 0.015667155385017395, lr = [1.25e-05] +[2024-05-27 08:53:35,200] - INFO: Epoch 3602/9999, Iter 360160: Loss = 0.010899714194238186, lr = [1.25e-05] +[2024-05-27 08:54:03,746] - INFO: Epoch 3603/9999, Iter 360200: Loss = 0.011742843315005302, lr = [1.25e-05] +[2024-05-27 08:54:31,094] - INFO: Epoch 3603/9999, Iter 360240: Loss = 0.020752886310219765, lr = [1.25e-05] +[2024-05-27 08:54:58,322] - INFO: Epoch 3603/9999, Iter 360280: Loss = 0.01385137252509594, lr = [1.25e-05] +[2024-05-27 08:55:27,194] - INFO: Epoch 3604/9999, Iter 360320: Loss = 0.007850469090044498, lr = [1.25e-05] +[2024-05-27 08:55:54,378] - INFO: Epoch 3604/9999, Iter 360360: Loss = 0.011348598636686802, lr = [1.25e-05] +[2024-05-27 08:56:22,900] - INFO: Epoch 3605/9999, Iter 360400: Loss = 0.018242763355374336, lr = [1.25e-05] +[2024-05-27 08:56:50,214] - INFO: Epoch 3605/9999, Iter 360440: Loss = 0.0166325680911541, lr = [1.25e-05] +[2024-05-27 08:57:17,425] - INFO: Epoch 3605/9999, Iter 360480: Loss = 0.005295217968523502, lr = [1.25e-05] +[2024-05-27 08:57:30,690] - INFO: Evaluate at epoch 3605! +[2024-05-27 08:57:35,262] - INFO: Eval PSNR (max): 38.258 (3535) SSIM (max): 0.9618 (3600) +[2024-05-27 08:57:35,262] - INFO: Eval PSNR (current): 38.234 (3605) SSIM (current): 0.9617 (3605) +[2024-05-27 08:57:35,262] - INFO: Evaluation over. +[2024-05-27 08:57:55,710] - INFO: Epoch 3606/9999, Iter 360520: Loss = 0.025133654475212097, lr = [1.25e-05] +[2024-05-27 08:58:22,946] - INFO: Epoch 3606/9999, Iter 360560: Loss = 0.010693490505218506, lr = [1.25e-05] +[2024-05-27 08:58:51,574] - INFO: Epoch 3607/9999, Iter 360600: Loss = 0.01150710042566061, lr = [1.25e-05] +[2024-05-27 08:59:18,899] - INFO: Epoch 3607/9999, Iter 360640: Loss = 0.015401446260511875, lr = [1.25e-05] +[2024-05-27 08:59:46,084] - INFO: Epoch 3607/9999, Iter 360680: Loss = 0.012976528145372868, lr = [1.25e-05] +[2024-05-27 09:00:14,706] - INFO: Epoch 3608/9999, Iter 360720: Loss = 0.013428878970444202, lr = [1.25e-05] +[2024-05-27 09:00:41,922] - INFO: Epoch 3608/9999, Iter 360760: Loss = 0.012987159192562103, lr = [1.25e-05] +[2024-05-27 09:01:10,645] - INFO: Epoch 3609/9999, Iter 360800: Loss = 0.008851248770952225, lr = [1.25e-05] +[2024-05-27 09:01:38,002] - INFO: Epoch 3609/9999, Iter 360840: Loss = 0.017245925962924957, lr = [1.25e-05] +[2024-05-27 09:02:05,230] - INFO: Epoch 3609/9999, Iter 360880: Loss = 0.007203054614365101, lr = [1.25e-05] +[2024-05-27 09:02:33,834] - INFO: Epoch 3610/9999, Iter 360920: Loss = 0.010255993343889713, lr = [1.25e-05] +[2024-05-27 09:03:01,014] - INFO: Epoch 3610/9999, Iter 360960: Loss = 0.012558060698211193, lr = [1.25e-05] +[2024-05-27 09:03:27,973] - INFO: Evaluate at epoch 3610! +[2024-05-27 09:03:32,554] - INFO: Eval PSNR (max): 38.258 (3535) SSIM (max): 0.9618 (3600) +[2024-05-27 09:03:32,554] - INFO: Eval PSNR (current): 38.227 (3610) SSIM (current): 0.9618 (3610) +[2024-05-27 09:03:32,554] - INFO: Evaluation over. +[2024-05-27 09:03:39,310] - INFO: Epoch 3611/9999, Iter 361000: Loss = 0.00962531752884388, lr = [1.25e-05] +[2024-05-27 09:04:06,513] - INFO: Epoch 3611/9999, Iter 361040: Loss = 0.010674817487597466, lr = [1.25e-05] +[2024-05-27 09:04:33,734] - INFO: Epoch 3611/9999, Iter 361080: Loss = 0.017149213701486588, lr = [1.25e-05] +[2024-05-27 09:05:02,428] - INFO: Epoch 3612/9999, Iter 361120: Loss = 0.010160544887185097, lr = [1.25e-05] +[2024-05-27 09:05:29,566] - INFO: Epoch 3612/9999, Iter 361160: Loss = 0.015373642556369305, lr = [1.25e-05] +[2024-05-27 09:05:58,121] - INFO: Epoch 3613/9999, Iter 361200: Loss = 0.00970663595944643, lr = [1.25e-05] +[2024-05-27 09:06:25,470] - INFO: Epoch 3613/9999, Iter 361240: Loss = 0.012174216099083424, lr = [1.25e-05] +[2024-05-27 09:06:52,657] - INFO: Epoch 3613/9999, Iter 361280: Loss = 0.011906348168849945, lr = [1.25e-05] +[2024-05-27 09:07:21,313] - INFO: Epoch 3614/9999, Iter 361320: Loss = 0.011812977492809296, lr = [1.25e-05] +[2024-05-27 09:07:48,495] - INFO: Epoch 3614/9999, Iter 361360: Loss = 0.017052704468369484, lr = [1.25e-05] +[2024-05-27 09:08:17,097] - INFO: Epoch 3615/9999, Iter 361400: Loss = 0.014275290071964264, lr = [1.25e-05] +[2024-05-27 09:08:44,406] - INFO: Epoch 3615/9999, Iter 361440: Loss = 0.00927030947059393, lr = [1.25e-05] +[2024-05-27 09:09:11,608] - INFO: Epoch 3615/9999, Iter 361480: Loss = 0.008975929580628872, lr = [1.25e-05] +[2024-05-27 09:09:24,927] - INFO: Evaluate at epoch 3615! +[2024-05-27 09:09:29,585] - INFO: Eval PSNR (max): 38.258 (3535) SSIM (max): 0.9618 (3600) +[2024-05-27 09:09:29,585] - INFO: Eval PSNR (current): 38.232 (3615) SSIM (current): 0.9618 (3615) +[2024-05-27 09:09:29,585] - INFO: Evaluation over. +[2024-05-27 09:09:50,132] - INFO: Epoch 3616/9999, Iter 361520: Loss = 0.011953693814575672, lr = [1.25e-05] +[2024-05-27 09:10:17,335] - INFO: Epoch 3616/9999, Iter 361560: Loss = 0.01193663477897644, lr = [1.25e-05] +[2024-05-27 09:10:46,048] - INFO: Epoch 3617/9999, Iter 361600: Loss = 0.008186422288417816, lr = [1.25e-05] +[2024-05-27 09:11:13,301] - INFO: Epoch 3617/9999, Iter 361640: Loss = 0.009462714195251465, lr = [1.25e-05] +[2024-05-27 09:11:40,508] - INFO: Epoch 3617/9999, Iter 361680: Loss = 0.009145865216851234, lr = [1.25e-05] +[2024-05-27 09:12:09,101] - INFO: Epoch 3618/9999, Iter 361720: Loss = 0.009275657124817371, lr = [1.25e-05] +[2024-05-27 09:12:36,303] - INFO: Epoch 3618/9999, Iter 361760: Loss = 0.016445374116301537, lr = [1.25e-05] +[2024-05-27 09:13:04,784] - INFO: Epoch 3619/9999, Iter 361800: Loss = 0.005743092391639948, lr = [1.25e-05] +[2024-05-27 09:13:32,118] - INFO: Epoch 3619/9999, Iter 361840: Loss = 0.006680557504296303, lr = [1.25e-05] +[2024-05-27 09:13:59,282] - INFO: Epoch 3619/9999, Iter 361880: Loss = 0.011482495814561844, lr = [1.25e-05] +[2024-05-27 09:14:27,991] - INFO: Epoch 3620/9999, Iter 361920: Loss = 0.017928993329405785, lr = [1.25e-05] +[2024-05-27 09:14:55,258] - INFO: Epoch 3620/9999, Iter 361960: Loss = 0.009400226175785065, lr = [1.25e-05] +[2024-05-27 09:15:22,084] - INFO: Evaluate at epoch 3620! +[2024-05-27 09:15:26,679] - INFO: Eval PSNR (max): 38.258 (3535) SSIM (max): 0.9618 (3600) +[2024-05-27 09:15:26,679] - INFO: Eval PSNR (current): 38.232 (3620) SSIM (current): 0.9617 (3620) +[2024-05-27 09:15:26,679] - INFO: Evaluation over. +[2024-05-27 09:15:33,534] - INFO: Epoch 3621/9999, Iter 362000: Loss = 0.013834885321557522, lr = [1.25e-05] +[2024-05-27 09:16:00,826] - INFO: Epoch 3621/9999, Iter 362040: Loss = 0.006376531440764666, lr = [1.25e-05] +[2024-05-27 09:16:28,086] - INFO: Epoch 3621/9999, Iter 362080: Loss = 0.019118860363960266, lr = [1.25e-05] +[2024-05-27 09:16:56,662] - INFO: Epoch 3622/9999, Iter 362120: Loss = 0.014693457633256912, lr = [1.25e-05] +[2024-05-27 09:17:23,862] - INFO: Epoch 3622/9999, Iter 362160: Loss = 0.012533772736787796, lr = [1.25e-05] +[2024-05-27 09:17:52,392] - INFO: Epoch 3623/9999, Iter 362200: Loss = 0.01789970137178898, lr = [1.25e-05] +[2024-05-27 09:18:19,710] - INFO: Epoch 3623/9999, Iter 362240: Loss = 0.011946706101298332, lr = [1.25e-05] +[2024-05-27 09:18:46,934] - INFO: Epoch 3623/9999, Iter 362280: Loss = 0.01768326573073864, lr = [1.25e-05] +[2024-05-27 09:19:15,504] - INFO: Epoch 3624/9999, Iter 362320: Loss = 0.01522807776927948, lr = [1.25e-05] +[2024-05-27 09:19:42,700] - INFO: Epoch 3624/9999, Iter 362360: Loss = 0.016268644481897354, lr = [1.25e-05] +[2024-05-27 09:20:11,137] - INFO: Epoch 3625/9999, Iter 362400: Loss = 0.010848849080502987, lr = [1.25e-05] +[2024-05-27 09:20:38,388] - INFO: Epoch 3625/9999, Iter 362440: Loss = 0.0075158169493079185, lr = [1.25e-05] +[2024-05-27 09:21:05,614] - INFO: Epoch 3625/9999, Iter 362480: Loss = 0.00820432510226965, lr = [1.25e-05] +[2024-05-27 09:21:18,894] - INFO: Evaluate at epoch 3625! +[2024-05-27 09:21:23,678] - INFO: Eval PSNR (max): 38.258 (3535) SSIM (max): 0.9618 (3600) +[2024-05-27 09:21:23,678] - INFO: Eval PSNR (current): 38.229 (3625) SSIM (current): 0.9617 (3625) +[2024-05-27 09:21:23,678] - INFO: Evaluation over. +[2024-05-27 09:21:44,095] - INFO: Epoch 3626/9999, Iter 362520: Loss = 0.007028723601251841, lr = [1.25e-05] +[2024-05-27 09:22:11,330] - INFO: Epoch 3626/9999, Iter 362560: Loss = 0.010229065082967281, lr = [1.25e-05] +[2024-05-27 09:22:39,894] - INFO: Epoch 3627/9999, Iter 362600: Loss = 0.020536819472908974, lr = [1.25e-05] +[2024-05-27 09:23:07,251] - INFO: Epoch 3627/9999, Iter 362640: Loss = 0.022787844762206078, lr = [1.25e-05] +[2024-05-27 09:23:34,438] - INFO: Epoch 3627/9999, Iter 362680: Loss = 0.009900392964482307, lr = [1.25e-05] +[2024-05-27 09:24:03,022] - INFO: Epoch 3628/9999, Iter 362720: Loss = 0.010788501240313053, lr = [1.25e-05] +[2024-05-27 09:24:30,219] - INFO: Epoch 3628/9999, Iter 362760: Loss = 0.011642223224043846, lr = [1.25e-05] +[2024-05-27 09:24:58,593] - INFO: Epoch 3629/9999, Iter 362800: Loss = 0.012653946876525879, lr = [1.25e-05] +[2024-05-27 09:25:25,802] - INFO: Epoch 3629/9999, Iter 362840: Loss = 0.007346200756728649, lr = [1.25e-05] +[2024-05-27 09:25:53,026] - INFO: Epoch 3629/9999, Iter 362880: Loss = 0.008033852092921734, lr = [1.25e-05] +[2024-05-27 09:26:21,727] - INFO: Epoch 3630/9999, Iter 362920: Loss = 0.006839090026915073, lr = [1.25e-05] +[2024-05-27 09:26:48,887] - INFO: Epoch 3630/9999, Iter 362960: Loss = 0.009499982930719852, lr = [1.25e-05] +[2024-05-27 09:27:15,775] - INFO: Evaluate at epoch 3630! +[2024-05-27 09:27:20,507] - INFO: Eval PSNR (max): 38.258 (3535) SSIM (max): 0.9618 (3600) +[2024-05-27 09:27:20,507] - INFO: Eval PSNR (current): 38.239 (3630) SSIM (current): 0.9618 (3630) +[2024-05-27 09:27:20,507] - INFO: Evaluation over. +[2024-05-27 09:27:27,539] - INFO: Epoch 3631/9999, Iter 363000: Loss = 0.004377307370305061, lr = [1.25e-05] +[2024-05-27 09:27:54,793] - INFO: Epoch 3631/9999, Iter 363040: Loss = 0.010328913107514381, lr = [1.25e-05] +[2024-05-27 09:28:21,986] - INFO: Epoch 3631/9999, Iter 363080: Loss = 0.005592895206063986, lr = [1.25e-05] +[2024-05-27 09:28:50,710] - INFO: Epoch 3632/9999, Iter 363120: Loss = 0.011127433739602566, lr = [1.25e-05] +[2024-05-27 09:29:17,924] - INFO: Epoch 3632/9999, Iter 363160: Loss = 0.007222720887511969, lr = [1.25e-05] +[2024-05-27 09:29:46,568] - INFO: Epoch 3633/9999, Iter 363200: Loss = 0.015015295706689358, lr = [1.25e-05] +[2024-05-27 09:30:13,838] - INFO: Epoch 3633/9999, Iter 363240: Loss = 0.011234425939619541, lr = [1.25e-05] +[2024-05-27 09:30:41,058] - INFO: Epoch 3633/9999, Iter 363280: Loss = 0.011385478079319, lr = [1.25e-05] +[2024-05-27 09:31:09,805] - INFO: Epoch 3634/9999, Iter 363320: Loss = 0.008256904780864716, lr = [1.25e-05] +[2024-05-27 09:31:37,022] - INFO: Epoch 3634/9999, Iter 363360: Loss = 0.01089510414749384, lr = [1.25e-05] +[2024-05-27 09:32:05,647] - INFO: Epoch 3635/9999, Iter 363400: Loss = 0.014989304356276989, lr = [1.25e-05] +[2024-05-27 09:32:32,966] - INFO: Epoch 3635/9999, Iter 363440: Loss = 0.020012008026242256, lr = [1.25e-05] +[2024-05-27 09:33:00,162] - INFO: Epoch 3635/9999, Iter 363480: Loss = 0.010721496306359768, lr = [1.25e-05] +[2024-05-27 09:33:13,469] - INFO: Evaluate at epoch 3635! +[2024-05-27 09:33:18,120] - INFO: Eval PSNR (max): 38.258 (3535) SSIM (max): 0.9618 (3600) +[2024-05-27 09:33:18,120] - INFO: Eval PSNR (current): 38.251 (3635) SSIM (current): 0.9618 (3635) +[2024-05-27 09:33:18,120] - INFO: Evaluation over. +[2024-05-27 09:33:38,603] - INFO: Epoch 3636/9999, Iter 363520: Loss = 0.012296835891902447, lr = [1.25e-05] +[2024-05-27 09:34:05,812] - INFO: Epoch 3636/9999, Iter 363560: Loss = 0.009147166274487972, lr = [1.25e-05] +[2024-05-27 09:34:34,450] - INFO: Epoch 3637/9999, Iter 363600: Loss = 0.010270432569086552, lr = [1.25e-05] +[2024-05-27 09:35:01,734] - INFO: Epoch 3637/9999, Iter 363640: Loss = 0.009085698053240776, lr = [1.25e-05] +[2024-05-27 09:35:28,998] - INFO: Epoch 3637/9999, Iter 363680: Loss = 0.007038208190351725, lr = [1.25e-05] +[2024-05-27 09:35:57,566] - INFO: Epoch 3638/9999, Iter 363720: Loss = 0.015027637593448162, lr = [1.25e-05] +[2024-05-27 09:36:24,739] - INFO: Epoch 3638/9999, Iter 363760: Loss = 0.010448165237903595, lr = [1.25e-05] +[2024-05-27 09:36:53,322] - INFO: Epoch 3639/9999, Iter 363800: Loss = 0.010019431822001934, lr = [1.25e-05] diff --git a/DNAN/args.txt b/DNAN/args.txt new file mode 100644 index 0000000000000000000000000000000000000000..25fad3ddadbef63620f92fce23ec74ffd8c26182 --- /dev/null +++ b/DNAN/args.txt @@ -0,0 +1,4 @@ + __immutable__ False + __deprecated_keys__ set() + __renamed_keys__ {} + __new_allowed__ False diff --git a/DNAN/model/max_psnr_model.pth b/DNAN/model/max_psnr_model.pth new file mode 100644 index 0000000000000000000000000000000000000000..42426155a77bc3fb84aaa7baa72309da89f8b159 --- /dev/null +++ b/DNAN/model/max_psnr_model.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a96bfb14d023394f13cbe16f61cca9f82c5c5b90e3189de1eca7ce356407b8a5 +size 490685150 diff --git a/DNAN/model/max_ssim_model.pth b/DNAN/model/max_ssim_model.pth new file mode 100644 index 0000000000000000000000000000000000000000..cbdce496a832cf9a2467f0b339d137cd64b211e8 --- /dev/null +++ b/DNAN/model/max_ssim_model.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:dff8a2ff3948513c39236675f5350726124838c79e8e7e034c5035a8432de364 +size 490743646 diff --git a/DNAN/runs/DNAN/events.out.tfevents.1716203505.gpu03.366909.0 b/DNAN/runs/DNAN/events.out.tfevents.1716203505.gpu03.366909.0 new file mode 100644 index 0000000000000000000000000000000000000000..a538cb1643eb94f39e0840a339d9c37e2b872e51 --- /dev/null +++ b/DNAN/runs/DNAN/events.out.tfevents.1716203505.gpu03.366909.0 @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7221fc7ee364d19d38136e295804c4af807c0f6bf14acce40d7350e50bb809d1 +size 6152192 diff --git a/DNAN/runs/DNAN/events.out.tfevents.1716629868.gpu01.3006144.0 b/DNAN/runs/DNAN/events.out.tfevents.1716629868.gpu01.3006144.0 new file mode 100644 index 0000000000000000000000000000000000000000..7f4e27e1cfccce1e03aa5fce7902f8bc61667588 --- /dev/null +++ b/DNAN/runs/DNAN/events.out.tfevents.1716629868.gpu01.3006144.0 @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d881937eee2ecc5518e94ff7b3a3ba6f1bf8d4238c3b34f7e6f43e73168115ca +size 12040140 diff --git a/RNAN/RNAN.log b/RNAN/RNAN.log new file mode 100644 index 0000000000000000000000000000000000000000..84d2c515ef138fd7d389b09282f4694e4830a3d6 --- /dev/null +++ b/RNAN/RNAN.log @@ -0,0 +1,11284 @@ +[2024-05-15 20:26:36,459] - INFO: LOGGER SETUP COMPLETED +[2024-05-15 20:26:36,464] - INFO: DATASET LOADED +[2024-05-15 20:26:36,747] - INFO: MODEL LOADED +[2024-05-15 20:26:36,747] - INFO: Device: cuda +[2024-05-15 20:26:42,473] - INFO: Epoch 1/9999, Iter 0: Loss = 0.22505545616149902, lr = [0.0001] +[2024-05-15 20:26:59,772] - INFO: Epoch 1/9999, Iter 20: Loss = 0.06848261505365372, lr = [0.0001] +[2024-05-15 20:27:17,646] - INFO: Epoch 1/9999, Iter 40: Loss = 0.055564481765031815, lr = [0.0001] +[2024-05-15 20:27:36,795] - INFO: Epoch 2/9999, Iter 60: Loss = 0.03935524448752403, lr = [0.0001] +[2024-05-15 20:27:54,397] - INFO: Epoch 2/9999, Iter 80: Loss = 0.03633494675159454, lr = [0.0001] +[2024-05-15 20:28:13,856] - INFO: Epoch 3/9999, Iter 100: Loss = 0.03512265533208847, lr = [0.0001] +[2024-05-15 20:28:31,949] - INFO: Epoch 3/9999, Iter 120: Loss = 0.03357482701539993, lr = [0.0001] +[2024-05-15 20:28:49,892] - INFO: Epoch 3/9999, Iter 140: Loss = 0.020994534716010094, lr = [0.0001] +[2024-05-15 20:29:09,096] - INFO: Epoch 4/9999, Iter 160: Loss = 0.030946101993322372, lr = [0.0001] +[2024-05-15 20:29:26,504] - INFO: Epoch 4/9999, Iter 180: Loss = 0.029610171914100647, lr = [0.0001] +[2024-05-15 20:29:45,448] - INFO: Epoch 5/9999, Iter 200: Loss = 0.026130853220820427, lr = [0.0001] +[2024-05-15 20:30:02,474] - INFO: Epoch 5/9999, Iter 220: Loss = 0.027391787618398666, lr = [0.0001] +[2024-05-15 20:30:19,544] - INFO: Epoch 5/9999, Iter 240: Loss = 0.02503170631825924, lr = [0.0001] +[2024-05-15 20:30:27,556] - INFO: Evaluate at epoch 5! +[2024-05-15 20:30:38,428] - INFO: Eval PSNR (max): 33.577 (5) SSIM (max): 0.9334 (5) +[2024-05-15 20:30:38,429] - INFO: Eval PSNR (current): 33.577 (5) SSIM (current): 0.9334 (5) +[2024-05-15 20:30:38,429] - INFO: Evaluation over. +[2024-05-15 20:30:53,017] - INFO: Epoch 6/9999, Iter 260: Loss = 0.022837895900011063, lr = [0.0001] +[2024-05-15 20:31:11,185] - INFO: Epoch 6/9999, Iter 280: Loss = 0.03715307638049126, lr = [0.0001] +[2024-05-15 20:31:30,241] - INFO: Epoch 7/9999, Iter 300: Loss = 0.025816965848207474, lr = [0.0001] +[2024-05-15 20:31:48,524] - INFO: Epoch 7/9999, Iter 320: Loss = 0.020400118082761765, lr = [0.0001] +[2024-05-15 20:32:06,405] - INFO: Epoch 7/9999, Iter 340: Loss = 0.019327498972415924, lr = [0.0001] +[2024-05-15 20:32:25,333] - INFO: Epoch 8/9999, Iter 360: Loss = 0.019174369052052498, lr = [0.0001] +[2024-05-15 20:32:43,740] - INFO: Epoch 8/9999, Iter 380: Loss = 0.014688841067254543, lr = [0.0001] +[2024-05-15 20:33:02,689] - INFO: Epoch 9/9999, Iter 400: Loss = 0.027868952602148056, lr = [0.0001] +[2024-05-15 20:33:19,676] - INFO: Epoch 9/9999, Iter 420: Loss = 0.01935722678899765, lr = [0.0001] +[2024-05-15 20:33:37,113] - INFO: Epoch 9/9999, Iter 440: Loss = 0.020143738016486168, lr = [0.0001] +[2024-05-15 20:33:56,533] - INFO: Epoch 10/9999, Iter 460: Loss = 0.020927483215928078, lr = [0.0001] +[2024-05-15 20:34:14,709] - INFO: Epoch 10/9999, Iter 480: Loss = 0.025147702544927597, lr = [0.0001] +[2024-05-15 20:34:31,065] - INFO: Evaluate at epoch 10! +[2024-05-15 20:34:41,856] - INFO: Eval PSNR (max): 34.241 (10) SSIM (max): 0.9389 (10) +[2024-05-15 20:34:41,856] - INFO: Eval PSNR (current): 34.241 (10) SSIM (current): 0.9389 (10) +[2024-05-15 20:34:41,856] - INFO: Evaluation over. +[2024-05-15 20:34:47,768] - INFO: Epoch 11/9999, Iter 500: Loss = 0.02469816990196705, lr = [0.0001] +[2024-05-15 20:35:05,104] - INFO: Epoch 11/9999, Iter 520: Loss = 0.01652047410607338, lr = [0.0001] +[2024-05-15 20:35:23,544] - INFO: Epoch 11/9999, Iter 540: Loss = 0.021044131368398666, lr = [0.0001] +[2024-05-15 20:35:42,549] - INFO: Epoch 12/9999, Iter 560: Loss = 0.019703634083271027, lr = [0.0001] +[2024-05-15 20:35:59,480] - INFO: Epoch 12/9999, Iter 580: Loss = 0.014976133592426777, lr = [0.0001] +[2024-05-15 20:36:18,724] - INFO: Epoch 13/9999, Iter 600: Loss = 0.02292407676577568, lr = [0.0001] +[2024-05-15 20:36:36,170] - INFO: Epoch 13/9999, Iter 620: Loss = 0.021280135959386826, lr = [0.0001] +[2024-05-15 20:36:53,356] - INFO: Epoch 13/9999, Iter 640: Loss = 0.01754208281636238, lr = [0.0001] +[2024-05-15 20:37:13,556] - INFO: Epoch 14/9999, Iter 660: Loss = 0.016686152666807175, lr = [0.0001] +[2024-05-15 20:37:30,676] - INFO: Epoch 14/9999, Iter 680: Loss = 0.025252647697925568, lr = [0.0001] +[2024-05-15 20:37:49,792] - INFO: Epoch 15/9999, Iter 700: Loss = 0.02258673869073391, lr = [0.0001] +[2024-05-15 20:38:08,028] - INFO: Epoch 15/9999, Iter 720: Loss = 0.01575779728591442, lr = [0.0001] +[2024-05-15 20:38:25,820] - INFO: Epoch 15/9999, Iter 740: Loss = 0.01696879044175148, lr = [0.0001] +[2024-05-15 20:38:33,323] - INFO: Evaluate at epoch 15! +[2024-05-15 20:38:43,839] - INFO: Eval PSNR (max): 34.740 (15) SSIM (max): 0.9413 (15) +[2024-05-15 20:38:43,839] - INFO: Eval PSNR (current): 34.740 (15) SSIM (current): 0.9413 (15) +[2024-05-15 20:38:43,839] - INFO: Evaluation over. +[2024-05-15 20:38:58,757] - INFO: Epoch 16/9999, Iter 760: Loss = 0.016819728538393974, lr = [0.0001] +[2024-05-15 20:39:16,887] - INFO: Epoch 16/9999, Iter 780: Loss = 0.02159358561038971, lr = [0.0001] +[2024-05-15 20:39:36,060] - INFO: Epoch 17/9999, Iter 800: Loss = 0.020715128630399704, lr = [0.0001] +[2024-05-15 20:39:54,062] - INFO: Epoch 17/9999, Iter 820: Loss = 0.015355966985225677, lr = [0.0001] +[2024-05-15 20:40:11,874] - INFO: Epoch 17/9999, Iter 840: Loss = 0.013751029968261719, lr = [0.0001] +[2024-05-15 20:40:30,786] - INFO: Epoch 18/9999, Iter 860: Loss = 0.013346085324883461, lr = [0.0001] +[2024-05-15 20:40:48,552] - INFO: Epoch 18/9999, Iter 880: Loss = 0.01599561795592308, lr = [0.0001] +[2024-05-15 20:41:07,724] - INFO: Epoch 19/9999, Iter 900: Loss = 0.02280179038643837, lr = [0.0001] +[2024-05-15 20:41:25,800] - INFO: Epoch 19/9999, Iter 920: Loss = 0.021221045404672623, lr = [0.0001] +[2024-05-15 20:41:43,791] - INFO: Epoch 19/9999, Iter 940: Loss = 0.015287022106349468, lr = [0.0001] +[2024-05-15 20:42:02,676] - INFO: Epoch 20/9999, Iter 960: Loss = 0.0175292007625103, lr = [0.0001] +[2024-05-15 20:42:20,572] - INFO: Epoch 20/9999, Iter 980: Loss = 0.01765567436814308, lr = [0.0001] +[2024-05-15 20:42:37,519] - INFO: Evaluate at epoch 20! +[2024-05-15 20:42:48,061] - INFO: Eval PSNR (max): 34.778 (20) SSIM (max): 0.9431 (20) +[2024-05-15 20:42:48,062] - INFO: Eval PSNR (current): 34.778 (20) SSIM (current): 0.9431 (20) +[2024-05-15 20:42:48,062] - INFO: Evaluation over. +[2024-05-15 20:42:54,119] - INFO: Epoch 21/9999, Iter 1000: Loss = 0.01883474737405777, lr = [0.0001] +[2024-05-15 20:43:11,997] - INFO: Epoch 21/9999, Iter 1020: Loss = 0.015425257384777069, lr = [0.0001] +[2024-05-15 20:43:29,700] - INFO: Epoch 21/9999, Iter 1040: Loss = 0.01216310914605856, lr = [0.0001] +[2024-05-15 20:43:48,552] - INFO: Epoch 22/9999, Iter 1060: Loss = 0.02276414819061756, lr = [0.0001] +[2024-05-15 20:44:05,981] - INFO: Epoch 22/9999, Iter 1080: Loss = 0.020416080951690674, lr = [0.0001] +[2024-05-15 20:44:25,221] - INFO: Epoch 23/9999, Iter 1100: Loss = 0.011217057704925537, lr = [0.0001] +[2024-05-15 20:44:43,424] - INFO: Epoch 23/9999, Iter 1120: Loss = 0.011670720763504505, lr = [0.0001] +[2024-05-15 20:45:01,444] - INFO: Epoch 23/9999, Iter 1140: Loss = 0.020078305155038834, lr = [0.0001] +[2024-05-15 20:45:20,799] - INFO: Epoch 24/9999, Iter 1160: Loss = 0.020036935806274414, lr = [0.0001] +[2024-05-15 20:45:37,833] - INFO: Epoch 24/9999, Iter 1180: Loss = 0.016688184812664986, lr = [0.0001] +[2024-05-15 20:45:56,588] - INFO: Epoch 25/9999, Iter 1200: Loss = 0.020657101646065712, lr = [0.0001] +[2024-05-15 20:46:14,376] - INFO: Epoch 25/9999, Iter 1220: Loss = 0.020193729549646378, lr = [0.0001] +[2024-05-15 20:46:31,426] - INFO: Epoch 25/9999, Iter 1240: Loss = 0.015983821824193, lr = [0.0001] +[2024-05-15 20:46:39,474] - INFO: Evaluate at epoch 25! +[2024-05-15 20:46:43,010] - INFO: Eval PSNR (max): 34.778 (20) SSIM (max): 0.9431 (20) +[2024-05-15 20:46:43,010] - INFO: Eval PSNR (current): 34.286 (25) SSIM (current): 0.9371 (25) +[2024-05-15 20:46:43,011] - INFO: Evaluation over. +[2024-05-15 20:46:58,622] - INFO: Epoch 26/9999, Iter 1260: Loss = 0.01953687146306038, lr = [0.0001] +[2024-05-15 20:47:17,015] - INFO: Epoch 26/9999, Iter 1280: Loss = 0.012358666397631168, lr = [0.0001] +[2024-05-15 20:47:35,832] - INFO: Epoch 27/9999, Iter 1300: Loss = 0.012484188191592693, lr = [0.0001] +[2024-05-15 20:47:53,950] - INFO: Epoch 27/9999, Iter 1320: Loss = 0.016189994290471077, lr = [0.0001] +[2024-05-15 20:48:11,914] - INFO: Epoch 27/9999, Iter 1340: Loss = 0.022481609135866165, lr = [0.0001] +[2024-05-15 20:48:30,236] - INFO: Epoch 28/9999, Iter 1360: Loss = 0.024157259613275528, lr = [0.0001] +[2024-05-15 20:48:47,500] - INFO: Epoch 28/9999, Iter 1380: Loss = 0.020120926201343536, lr = [0.0001] +[2024-05-15 20:49:06,620] - INFO: Epoch 29/9999, Iter 1400: Loss = 0.023638399317860603, lr = [0.0001] +[2024-05-15 20:49:24,139] - INFO: Epoch 29/9999, Iter 1420: Loss = 0.012156684882938862, lr = [0.0001] +[2024-05-15 20:49:41,448] - INFO: Epoch 29/9999, Iter 1440: Loss = 0.020555492490530014, lr = [0.0001] +[2024-05-15 20:50:00,782] - INFO: Epoch 30/9999, Iter 1460: Loss = 0.01451196987181902, lr = [0.0001] +[2024-05-15 20:50:19,016] - INFO: Epoch 30/9999, Iter 1480: Loss = 0.02339613065123558, lr = [0.0001] +[2024-05-15 20:50:35,783] - INFO: Evaluate at epoch 30! +[2024-05-15 20:50:46,503] - INFO: Eval PSNR (max): 35.046 (30) SSIM (max): 0.9446 (30) +[2024-05-15 20:50:46,503] - INFO: Eval PSNR (current): 35.046 (30) SSIM (current): 0.9446 (30) +[2024-05-15 20:50:46,503] - INFO: Evaluation over. +[2024-05-15 20:50:52,495] - INFO: Epoch 31/9999, Iter 1500: Loss = 0.01115449983626604, lr = [0.0001] +[2024-05-15 20:51:10,438] - INFO: Epoch 31/9999, Iter 1520: Loss = 0.025407826527953148, lr = [0.0001] +[2024-05-15 20:51:28,296] - INFO: Epoch 31/9999, Iter 1540: Loss = 0.019769594073295593, lr = [0.0001] +[2024-05-15 20:51:48,032] - INFO: Epoch 32/9999, Iter 1560: Loss = 0.019429652020335197, lr = [0.0001] +[2024-05-15 20:52:05,531] - INFO: Epoch 32/9999, Iter 1580: Loss = 0.02570546790957451, lr = [0.0001] +[2024-05-15 20:52:24,387] - INFO: Epoch 33/9999, Iter 1600: Loss = 0.023427482694387436, lr = [0.0001] +[2024-05-15 20:52:42,010] - INFO: Epoch 33/9999, Iter 1620: Loss = 0.017798788845539093, lr = [0.0001] +[2024-05-15 20:52:59,427] - INFO: Epoch 33/9999, Iter 1640: Loss = 0.02235211804509163, lr = [0.0001] +[2024-05-15 20:53:18,273] - INFO: Epoch 34/9999, Iter 1660: Loss = 0.011089302599430084, lr = [0.0001] +[2024-05-15 20:53:35,968] - INFO: Epoch 34/9999, Iter 1680: Loss = 0.014302528463304043, lr = [0.0001] +[2024-05-15 20:53:55,136] - INFO: Epoch 35/9999, Iter 1700: Loss = 0.014100931584835052, lr = [0.0001] +[2024-05-15 20:54:12,452] - INFO: Epoch 35/9999, Iter 1720: Loss = 0.013321341946721077, lr = [0.0001] +[2024-05-15 20:54:30,008] - INFO: Epoch 35/9999, Iter 1740: Loss = 0.017284885048866272, lr = [0.0001] +[2024-05-15 20:54:38,289] - INFO: Evaluate at epoch 35! +[2024-05-15 20:54:41,937] - INFO: Eval PSNR (max): 35.046 (30) SSIM (max): 0.9446 (30) +[2024-05-15 20:54:41,938] - INFO: Eval PSNR (current): 35.028 (35) SSIM (current): 0.9439 (35) +[2024-05-15 20:54:41,938] - INFO: Evaluation over. +[2024-05-15 20:54:56,735] - INFO: Epoch 36/9999, Iter 1760: Loss = 0.020652715116739273, lr = [0.0001] +[2024-05-15 20:55:19,774] - INFO: Epoch 36/9999, Iter 1780: Loss = 0.0125480517745018, lr = [0.0001] +[2024-05-15 20:55:44,829] - INFO: Epoch 37/9999, Iter 1800: Loss = 0.025958718731999397, lr = [0.0001] +[2024-05-15 20:56:06,250] - INFO: Epoch 37/9999, Iter 1820: Loss = 0.01308874785900116, lr = [0.0001] +[2024-05-15 20:56:29,626] - INFO: Epoch 37/9999, Iter 1840: Loss = 0.011007953435182571, lr = [0.0001] +[2024-05-15 20:56:52,331] - INFO: Epoch 38/9999, Iter 1860: Loss = 0.01885848678648472, lr = [0.0001] +[2024-05-15 20:57:10,675] - INFO: Epoch 38/9999, Iter 1880: Loss = 0.012165543623268604, lr = [0.0001] +[2024-05-15 20:57:30,353] - INFO: Epoch 39/9999, Iter 1900: Loss = 0.017862794920802116, lr = [0.0001] +[2024-05-15 20:57:48,568] - INFO: Epoch 39/9999, Iter 1920: Loss = 0.013776618055999279, lr = [0.0001] +[2024-05-15 20:58:06,673] - INFO: Epoch 39/9999, Iter 1940: Loss = 0.01613094098865986, lr = [0.0001] +[2024-05-15 20:58:25,201] - INFO: Epoch 40/9999, Iter 1960: Loss = 0.01943185180425644, lr = [0.0001] +[2024-05-15 20:58:43,624] - INFO: Epoch 40/9999, Iter 1980: Loss = 0.018014103174209595, lr = [0.0001] +[2024-05-15 20:58:59,993] - INFO: Evaluate at epoch 40! +[2024-05-15 20:59:03,590] - INFO: Eval PSNR (max): 35.046 (30) SSIM (max): 0.9446 (30) +[2024-05-15 20:59:03,591] - INFO: Eval PSNR (current): 34.927 (40) SSIM (current): 0.9442 (40) +[2024-05-15 20:59:03,591] - INFO: Evaluation over. +[2024-05-15 20:59:09,603] - INFO: Epoch 41/9999, Iter 2000: Loss = 0.019096996635198593, lr = [0.0001] +[2024-05-15 20:59:27,374] - INFO: Epoch 41/9999, Iter 2020: Loss = 0.019551638513803482, lr = [0.0001] +[2024-05-15 20:59:45,467] - INFO: Epoch 41/9999, Iter 2040: Loss = 0.02009502239525318, lr = [0.0001] +[2024-05-15 21:00:05,078] - INFO: Epoch 42/9999, Iter 2060: Loss = 0.01667221263051033, lr = [0.0001] +[2024-05-15 21:00:22,872] - INFO: Epoch 42/9999, Iter 2080: Loss = 0.02561858855187893, lr = [0.0001] +[2024-05-15 21:00:41,589] - INFO: Epoch 43/9999, Iter 2100: Loss = 0.02249304950237274, lr = [0.0001] +[2024-05-15 21:00:59,789] - INFO: Epoch 43/9999, Iter 2120: Loss = 0.01681853085756302, lr = [0.0001] +[2024-05-15 21:01:17,553] - INFO: Epoch 43/9999, Iter 2140: Loss = 0.022396445274353027, lr = [0.0001] +[2024-05-15 21:01:37,176] - INFO: Epoch 44/9999, Iter 2160: Loss = 0.014264709316194057, lr = [0.0001] +[2024-05-15 21:01:55,340] - INFO: Epoch 44/9999, Iter 2180: Loss = 0.02357001230120659, lr = [0.0001] +[2024-05-15 21:02:13,881] - INFO: Epoch 45/9999, Iter 2200: Loss = 0.01977970451116562, lr = [0.0001] +[2024-05-15 21:02:31,563] - INFO: Epoch 45/9999, Iter 2220: Loss = 0.016080498695373535, lr = [0.0001] +[2024-05-15 21:02:49,421] - INFO: Epoch 45/9999, Iter 2240: Loss = 0.0177261084318161, lr = [0.0001] +[2024-05-15 21:02:56,930] - INFO: Evaluate at epoch 45! +[2024-05-15 21:03:00,468] - INFO: Eval PSNR (max): 35.046 (30) SSIM (max): 0.9446 (30) +[2024-05-15 21:03:00,468] - INFO: Eval PSNR (current): 34.897 (45) SSIM (current): 0.9443 (45) +[2024-05-15 21:03:00,468] - INFO: Evaluation over. +[2024-05-15 21:03:14,937] - INFO: Epoch 46/9999, Iter 2260: Loss = 0.013470453210175037, lr = [0.0001] +[2024-05-15 21:03:32,779] - INFO: Epoch 46/9999, Iter 2280: Loss = 0.021101323887705803, lr = [0.0001] +[2024-05-15 21:03:52,152] - INFO: Epoch 47/9999, Iter 2300: Loss = 0.01436039712280035, lr = [0.0001] +[2024-05-15 21:04:09,787] - INFO: Epoch 47/9999, Iter 2320: Loss = 0.017405742779374123, lr = [0.0001] +[2024-05-15 21:04:27,708] - INFO: Epoch 47/9999, Iter 2340: Loss = 0.018790511414408684, lr = [0.0001] +[2024-05-15 21:04:47,244] - INFO: Epoch 48/9999, Iter 2360: Loss = 0.014781542122364044, lr = [0.0001] +[2024-05-15 21:05:04,758] - INFO: Epoch 48/9999, Iter 2380: Loss = 0.019969144836068153, lr = [0.0001] +[2024-05-15 21:05:23,924] - INFO: Epoch 49/9999, Iter 2400: Loss = 0.01115393079817295, lr = [0.0001] +[2024-05-15 21:05:42,276] - INFO: Epoch 49/9999, Iter 2420: Loss = 0.014680149033665657, lr = [0.0001] +[2024-05-15 21:06:00,076] - INFO: Epoch 49/9999, Iter 2440: Loss = 0.017945118248462677, lr = [0.0001] +[2024-05-15 21:06:18,980] - INFO: Epoch 50/9999, Iter 2460: Loss = 0.015503525733947754, lr = [0.0001] +[2024-05-15 21:06:37,148] - INFO: Epoch 50/9999, Iter 2480: Loss = 0.019425777718424797, lr = [0.0001] +[2024-05-15 21:06:53,847] - INFO: Evaluate at epoch 50! +[2024-05-15 21:06:57,413] - INFO: Eval PSNR (max): 35.046 (30) SSIM (max): 0.9446 (30) +[2024-05-15 21:06:57,413] - INFO: Eval PSNR (current): 34.703 (50) SSIM (current): 0.9421 (50) +[2024-05-15 21:06:57,413] - INFO: Evaluation over. +[2024-05-15 21:07:03,271] - INFO: Epoch 51/9999, Iter 2500: Loss = 0.014808807522058487, lr = [0.0001] +[2024-05-15 21:07:20,420] - INFO: Epoch 51/9999, Iter 2520: Loss = 0.014340408146381378, lr = [0.0001] +[2024-05-15 21:07:37,784] - INFO: Epoch 51/9999, Iter 2540: Loss = 0.022567633539438248, lr = [0.0001] +[2024-05-15 21:07:57,203] - INFO: Epoch 52/9999, Iter 2560: Loss = 0.020380761474370956, lr = [0.0001] +[2024-05-15 21:08:15,368] - INFO: Epoch 52/9999, Iter 2580: Loss = 0.018477344885468483, lr = [0.0001] +[2024-05-15 21:08:34,031] - INFO: Epoch 53/9999, Iter 2600: Loss = 0.021321972832083702, lr = [0.0001] +[2024-05-15 21:08:51,899] - INFO: Epoch 53/9999, Iter 2620: Loss = 0.016356483101844788, lr = [0.0001] +[2024-05-15 21:09:09,741] - INFO: Epoch 53/9999, Iter 2640: Loss = 0.011049233376979828, lr = [0.0001] +[2024-05-15 21:09:28,160] - INFO: Epoch 54/9999, Iter 2660: Loss = 0.00984786543995142, lr = [0.0001] +[2024-05-15 21:09:45,699] - INFO: Epoch 54/9999, Iter 2680: Loss = 0.008210326544940472, lr = [0.0001] +[2024-05-15 21:10:05,721] - INFO: Epoch 55/9999, Iter 2700: Loss = 0.015452418476343155, lr = [0.0001] +[2024-05-15 21:10:23,457] - INFO: Epoch 55/9999, Iter 2720: Loss = 0.016837185248732567, lr = [0.0001] +[2024-05-15 21:10:41,208] - INFO: Epoch 55/9999, Iter 2740: Loss = 0.021424466744065285, lr = [0.0001] +[2024-05-15 21:10:49,053] - INFO: Evaluate at epoch 55! +[2024-05-15 21:10:56,065] - INFO: Eval PSNR (max): 35.046 (30) SSIM (max): 0.9446 (55) +[2024-05-15 21:10:56,065] - INFO: Eval PSNR (current): 34.942 (55) SSIM (current): 0.9446 (55) +[2024-05-15 21:10:56,066] - INFO: Evaluation over. +[2024-05-15 21:11:11,189] - INFO: Epoch 56/9999, Iter 2760: Loss = 0.017740746960043907, lr = [0.0001] +[2024-05-15 21:11:29,648] - INFO: Epoch 56/9999, Iter 2780: Loss = 0.015210519544780254, lr = [0.0001] +[2024-05-15 21:11:48,188] - INFO: Epoch 57/9999, Iter 2800: Loss = 0.02461649850010872, lr = [0.0001] +[2024-05-15 21:12:05,765] - INFO: Epoch 57/9999, Iter 2820: Loss = 0.033663246780633926, lr = [0.0001] +[2024-05-15 21:12:22,852] - INFO: Epoch 57/9999, Iter 2840: Loss = 0.05830664187669754, lr = [0.0001] +[2024-05-15 21:12:42,552] - INFO: Epoch 58/9999, Iter 2860: Loss = 0.029009921476244926, lr = [0.0001] +[2024-05-15 21:13:00,248] - INFO: Epoch 58/9999, Iter 2880: Loss = 0.023479459807276726, lr = [0.0001] +[2024-05-15 21:13:19,288] - INFO: Epoch 59/9999, Iter 2900: Loss = 0.018487729132175446, lr = [0.0001] +[2024-05-15 21:13:36,532] - INFO: Epoch 59/9999, Iter 2920: Loss = 0.017631586641073227, lr = [0.0001] +[2024-05-15 21:13:54,340] - INFO: Epoch 59/9999, Iter 2940: Loss = 0.018307602033019066, lr = [0.0001] +[2024-05-15 21:14:13,309] - INFO: Epoch 60/9999, Iter 2960: Loss = 0.01751313917338848, lr = [0.0001] +[2024-05-15 21:14:30,178] - INFO: Epoch 60/9999, Iter 2980: Loss = 0.021853256970643997, lr = [0.0001] +[2024-05-15 21:14:46,993] - INFO: Evaluate at epoch 60! +[2024-05-15 21:14:50,606] - INFO: Eval PSNR (max): 35.046 (30) SSIM (max): 0.9446 (55) +[2024-05-15 21:14:50,607] - INFO: Eval PSNR (current): 35.004 (60) SSIM (current): 0.9440 (60) +[2024-05-15 21:14:50,607] - INFO: Evaluation over. +[2024-05-15 21:14:56,619] - INFO: Epoch 61/9999, Iter 3000: Loss = 0.016923950985074043, lr = [0.0001] +[2024-05-15 21:15:13,878] - INFO: Epoch 61/9999, Iter 3020: Loss = 0.018051864579319954, lr = [0.0001] +[2024-05-15 21:15:30,906] - INFO: Epoch 61/9999, Iter 3040: Loss = 0.01836204342544079, lr = [0.0001] +[2024-05-15 21:15:50,331] - INFO: Epoch 62/9999, Iter 3060: Loss = 0.014810648746788502, lr = [0.0001] +[2024-05-15 21:16:07,705] - INFO: Epoch 62/9999, Iter 3080: Loss = 0.016179846599698067, lr = [0.0001] +[2024-05-15 21:16:26,868] - INFO: Epoch 63/9999, Iter 3100: Loss = 0.02071753703057766, lr = [0.0001] +[2024-05-15 21:16:44,658] - INFO: Epoch 63/9999, Iter 3120: Loss = 0.02203732170164585, lr = [0.0001] +[2024-05-15 21:17:03,197] - INFO: Epoch 63/9999, Iter 3140: Loss = 0.014963596127927303, lr = [0.0001] +[2024-05-15 21:17:21,724] - INFO: Epoch 64/9999, Iter 3160: Loss = 0.011796592734754086, lr = [0.0001] +[2024-05-15 21:17:39,152] - INFO: Epoch 64/9999, Iter 3180: Loss = 0.019382204860448837, lr = [0.0001] +[2024-05-15 21:17:57,748] - INFO: Epoch 65/9999, Iter 3200: Loss = 0.010723445564508438, lr = [0.0001] +[2024-05-15 21:18:15,148] - INFO: Epoch 65/9999, Iter 3220: Loss = 0.02644340880215168, lr = [0.0001] +[2024-05-15 21:18:32,213] - INFO: Epoch 65/9999, Iter 3240: Loss = 0.017623789608478546, lr = [0.0001] +[2024-05-15 21:18:40,686] - INFO: Evaluate at epoch 65! +[2024-05-15 21:18:48,122] - INFO: Eval PSNR (max): 35.164 (65) SSIM (max): 0.9446 (55) +[2024-05-15 21:18:48,122] - INFO: Eval PSNR (current): 35.164 (65) SSIM (current): 0.9446 (65) +[2024-05-15 21:18:48,122] - INFO: Evaluation over. +[2024-05-15 21:19:02,954] - INFO: Epoch 66/9999, Iter 3260: Loss = 0.0161973275244236, lr = [0.0001] +[2024-05-15 21:19:20,995] - INFO: Epoch 66/9999, Iter 3280: Loss = 0.02181127294898033, lr = [0.0001] +[2024-05-15 21:19:40,387] - INFO: Epoch 67/9999, Iter 3300: Loss = 0.017994137480854988, lr = [0.0001] +[2024-05-15 21:19:58,321] - INFO: Epoch 67/9999, Iter 3320: Loss = 0.018520673736929893, lr = [0.0001] +[2024-05-15 21:20:15,005] - INFO: Epoch 67/9999, Iter 3340: Loss = 0.021104151383042336, lr = [0.0001] +[2024-05-15 21:20:35,046] - INFO: Epoch 68/9999, Iter 3360: Loss = 0.015401087701320648, lr = [0.0001] +[2024-05-15 21:20:52,456] - INFO: Epoch 68/9999, Iter 3380: Loss = 0.015372619032859802, lr = [0.0001] +[2024-05-15 21:21:11,342] - INFO: Epoch 69/9999, Iter 3400: Loss = 0.016261214390397072, lr = [0.0001] +[2024-05-15 21:21:29,145] - INFO: Epoch 69/9999, Iter 3420: Loss = 0.021893180906772614, lr = [0.0001] +[2024-05-15 21:21:47,458] - INFO: Epoch 69/9999, Iter 3440: Loss = 0.016444919630885124, lr = [0.0001] +[2024-05-15 21:22:06,182] - INFO: Epoch 70/9999, Iter 3460: Loss = 0.015181963331997395, lr = [0.0001] +[2024-05-15 21:22:23,248] - INFO: Epoch 70/9999, Iter 3480: Loss = 0.019473394379019737, lr = [0.0001] +[2024-05-15 21:22:39,606] - INFO: Evaluate at epoch 70! +[2024-05-15 21:22:46,771] - INFO: Eval PSNR (max): 35.164 (65) SSIM (max): 0.9458 (70) +[2024-05-15 21:22:46,772] - INFO: Eval PSNR (current): 35.142 (70) SSIM (current): 0.9458 (70) +[2024-05-15 21:22:46,772] - INFO: Evaluation over. +[2024-05-15 21:22:52,624] - INFO: Epoch 71/9999, Iter 3500: Loss = 0.013768997974693775, lr = [0.0001] +[2024-05-15 21:23:10,576] - INFO: Epoch 71/9999, Iter 3520: Loss = 0.0192701555788517, lr = [0.0001] +[2024-05-15 21:23:28,248] - INFO: Epoch 71/9999, Iter 3540: Loss = 0.01591227948665619, lr = [0.0001] +[2024-05-15 21:23:47,382] - INFO: Epoch 72/9999, Iter 3560: Loss = 0.013212358579039574, lr = [0.0001] +[2024-05-15 21:24:04,793] - INFO: Epoch 72/9999, Iter 3580: Loss = 0.023000868037343025, lr = [0.0001] +[2024-05-15 21:24:23,672] - INFO: Epoch 73/9999, Iter 3600: Loss = 0.013731574639678001, lr = [0.0001] +[2024-05-15 21:24:41,718] - INFO: Epoch 73/9999, Iter 3620: Loss = 0.012082559056580067, lr = [0.0001] +[2024-05-15 21:24:59,104] - INFO: Epoch 73/9999, Iter 3640: Loss = 0.012079362757503986, lr = [0.0001] +[2024-05-15 21:25:17,832] - INFO: Epoch 74/9999, Iter 3660: Loss = 0.019718939438462257, lr = [0.0001] +[2024-05-15 21:25:35,402] - INFO: Epoch 74/9999, Iter 3680: Loss = 0.018340161070227623, lr = [0.0001] +[2024-05-15 21:25:54,864] - INFO: Epoch 75/9999, Iter 3700: Loss = 0.021071400493383408, lr = [0.0001] +[2024-05-15 21:26:13,156] - INFO: Epoch 75/9999, Iter 3720: Loss = 0.015374449081718922, lr = [0.0001] +[2024-05-15 21:26:31,064] - INFO: Epoch 75/9999, Iter 3740: Loss = 0.012678133323788643, lr = [0.0001] +[2024-05-15 21:26:38,529] - INFO: Evaluate at epoch 75! +[2024-05-15 21:26:49,312] - INFO: Eval PSNR (max): 35.427 (75) SSIM (max): 0.9468 (75) +[2024-05-15 21:26:49,313] - INFO: Eval PSNR (current): 35.427 (75) SSIM (current): 0.9468 (75) +[2024-05-15 21:26:49,313] - INFO: Evaluation over. +[2024-05-15 21:27:04,250] - INFO: Epoch 76/9999, Iter 3760: Loss = 0.025223692879080772, lr = [0.0001] +[2024-05-15 21:27:22,292] - INFO: Epoch 76/9999, Iter 3780: Loss = 0.016417816281318665, lr = [0.0001] +[2024-05-15 21:27:41,636] - INFO: Epoch 77/9999, Iter 3800: Loss = 0.013680984266102314, lr = [0.0001] +[2024-05-15 21:27:58,682] - INFO: Epoch 77/9999, Iter 3820: Loss = 0.01789245940744877, lr = [0.0001] +[2024-05-15 21:28:15,941] - INFO: Epoch 77/9999, Iter 3840: Loss = 0.015485660172998905, lr = [0.0001] +[2024-05-15 21:28:35,170] - INFO: Epoch 78/9999, Iter 3860: Loss = 0.016793087124824524, lr = [0.0001] +[2024-05-15 21:28:52,522] - INFO: Epoch 78/9999, Iter 3880: Loss = 0.014405773021280766, lr = [0.0001] +[2024-05-15 21:29:11,396] - INFO: Epoch 79/9999, Iter 3900: Loss = 0.01944287121295929, lr = [0.0001] +[2024-05-15 21:29:28,844] - INFO: Epoch 79/9999, Iter 3920: Loss = 0.013372003100812435, lr = [0.0001] +[2024-05-15 21:29:46,376] - INFO: Epoch 79/9999, Iter 3940: Loss = 0.02341383509337902, lr = [0.0001] +[2024-05-15 21:30:05,264] - INFO: Epoch 80/9999, Iter 3960: Loss = 0.016310881823301315, lr = [0.0001] +[2024-05-15 21:30:23,300] - INFO: Epoch 80/9999, Iter 3980: Loss = 0.018378593027591705, lr = [0.0001] +[2024-05-15 21:30:39,963] - INFO: Evaluate at epoch 80! +[2024-05-15 21:30:47,147] - INFO: Eval PSNR (max): 35.427 (75) SSIM (max): 0.9485 (80) +[2024-05-15 21:30:47,148] - INFO: Eval PSNR (current): 35.402 (80) SSIM (current): 0.9485 (80) +[2024-05-15 21:30:47,148] - INFO: Evaluation over. +[2024-05-15 21:30:53,188] - INFO: Epoch 81/9999, Iter 4000: Loss = 0.019427550956606865, lr = [0.0001] +[2024-05-15 21:31:10,086] - INFO: Epoch 81/9999, Iter 4020: Loss = 0.016559163108468056, lr = [0.0001] +[2024-05-15 21:31:27,901] - INFO: Epoch 81/9999, Iter 4040: Loss = 0.01989612728357315, lr = [0.0001] +[2024-05-15 21:31:46,948] - INFO: Epoch 82/9999, Iter 4060: Loss = 0.013555655255913734, lr = [0.0001] +[2024-05-15 21:32:05,202] - INFO: Epoch 82/9999, Iter 4080: Loss = 0.018751537427306175, lr = [0.0001] +[2024-05-15 21:32:24,023] - INFO: Epoch 83/9999, Iter 4100: Loss = 0.014715181663632393, lr = [0.0001] +[2024-05-15 21:32:41,512] - INFO: Epoch 83/9999, Iter 4120: Loss = 0.011441731825470924, lr = [0.0001] +[2024-05-15 21:32:58,566] - INFO: Epoch 83/9999, Iter 4140: Loss = 0.012817044742405415, lr = [0.0001] +[2024-05-15 21:33:18,159] - INFO: Epoch 84/9999, Iter 4160: Loss = 0.014446072280406952, lr = [0.0001] +[2024-05-15 21:33:36,140] - INFO: Epoch 84/9999, Iter 4180: Loss = 0.01661708578467369, lr = [0.0001] +[2024-05-15 21:33:55,016] - INFO: Epoch 85/9999, Iter 4200: Loss = 0.013801987282931805, lr = [0.0001] +[2024-05-15 21:34:13,113] - INFO: Epoch 85/9999, Iter 4220: Loss = 0.016761215403676033, lr = [0.0001] +[2024-05-15 21:34:30,992] - INFO: Epoch 85/9999, Iter 4240: Loss = 0.012683303095400333, lr = [0.0001] +[2024-05-15 21:34:38,837] - INFO: Evaluate at epoch 85! +[2024-05-15 21:34:49,803] - INFO: Eval PSNR (max): 35.901 (85) SSIM (max): 0.9493 (85) +[2024-05-15 21:34:49,804] - INFO: Eval PSNR (current): 35.901 (85) SSIM (current): 0.9493 (85) +[2024-05-15 21:34:49,804] - INFO: Evaluation over. +[2024-05-15 21:35:04,936] - INFO: Epoch 86/9999, Iter 4260: Loss = 0.01946892961859703, lr = [0.0001] +[2024-05-15 21:35:23,146] - INFO: Epoch 86/9999, Iter 4280: Loss = 0.02136274240911007, lr = [0.0001] +[2024-05-15 21:35:42,332] - INFO: Epoch 87/9999, Iter 4300: Loss = 0.015744827687740326, lr = [0.0001] +[2024-05-15 21:36:00,070] - INFO: Epoch 87/9999, Iter 4320: Loss = 0.012342352420091629, lr = [0.0001] +[2024-05-15 21:36:17,160] - INFO: Epoch 87/9999, Iter 4340: Loss = 0.015883537009358406, lr = [0.0001] +[2024-05-15 21:36:36,434] - INFO: Epoch 88/9999, Iter 4360: Loss = 0.019385240972042084, lr = [0.0001] +[2024-05-15 21:36:53,843] - INFO: Epoch 88/9999, Iter 4380: Loss = 0.02151811122894287, lr = [0.0001] +[2024-05-15 21:37:13,202] - INFO: Epoch 89/9999, Iter 4400: Loss = 0.02069254219532013, lr = [0.0001] +[2024-05-15 21:37:30,381] - INFO: Epoch 89/9999, Iter 4420: Loss = 0.01505288202315569, lr = [0.0001] +[2024-05-15 21:37:48,204] - INFO: Epoch 89/9999, Iter 4440: Loss = 0.01583988033235073, lr = [0.0001] +[2024-05-15 21:38:07,118] - INFO: Epoch 90/9999, Iter 4460: Loss = 0.016703004017472267, lr = [0.0001] +[2024-05-15 21:38:25,485] - INFO: Epoch 90/9999, Iter 4480: Loss = 0.017481889575719833, lr = [0.0001] +[2024-05-15 21:38:41,903] - INFO: Evaluate at epoch 90! +[2024-05-15 21:38:52,404] - INFO: Eval PSNR (max): 36.038 (90) SSIM (max): 0.9505 (90) +[2024-05-15 21:38:52,404] - INFO: Eval PSNR (current): 36.038 (90) SSIM (current): 0.9505 (90) +[2024-05-15 21:38:52,405] - INFO: Evaluation over. +[2024-05-15 21:38:58,612] - INFO: Epoch 91/9999, Iter 4500: Loss = 0.01334390975534916, lr = [0.0001] +[2024-05-15 21:39:16,519] - INFO: Epoch 91/9999, Iter 4520: Loss = 0.020967938005924225, lr = [0.0001] +[2024-05-15 21:39:34,585] - INFO: Epoch 91/9999, Iter 4540: Loss = 0.017317840829491615, lr = [0.0001] +[2024-05-15 21:39:52,948] - INFO: Epoch 92/9999, Iter 4560: Loss = 0.021005334332585335, lr = [0.0001] +[2024-05-15 21:40:10,296] - INFO: Epoch 92/9999, Iter 4580: Loss = 0.016739903017878532, lr = [0.0001] +[2024-05-15 21:40:29,304] - INFO: Epoch 93/9999, Iter 4600: Loss = 0.014082834124565125, lr = [0.0001] +[2024-05-15 21:40:46,443] - INFO: Epoch 93/9999, Iter 4620: Loss = 0.019671903923153877, lr = [0.0001] +[2024-05-15 21:41:04,088] - INFO: Epoch 93/9999, Iter 4640: Loss = 0.0214181300252676, lr = [0.0001] +[2024-05-15 21:41:22,907] - INFO: Epoch 94/9999, Iter 4660: Loss = 0.018353000283241272, lr = [0.0001] +[2024-05-15 21:41:41,070] - INFO: Epoch 94/9999, Iter 4680: Loss = 0.016531968489289284, lr = [0.0001] +[2024-05-15 21:41:59,768] - INFO: Epoch 95/9999, Iter 4700: Loss = 0.016588453203439713, lr = [0.0001] +[2024-05-15 21:42:17,066] - INFO: Epoch 95/9999, Iter 4720: Loss = 0.0176873579621315, lr = [0.0001] +[2024-05-15 21:42:34,596] - INFO: Epoch 95/9999, Iter 4740: Loss = 0.027549181133508682, lr = [0.0001] +[2024-05-15 21:42:42,524] - INFO: Evaluate at epoch 95! +[2024-05-15 21:42:53,228] - INFO: Eval PSNR (max): 36.123 (95) SSIM (max): 0.9513 (95) +[2024-05-15 21:42:53,229] - INFO: Eval PSNR (current): 36.123 (95) SSIM (current): 0.9513 (95) +[2024-05-15 21:42:53,229] - INFO: Evaluation over. +[2024-05-15 21:43:07,768] - INFO: Epoch 96/9999, Iter 4760: Loss = 0.019585832953453064, lr = [0.0001] +[2024-05-15 21:43:24,844] - INFO: Epoch 96/9999, Iter 4780: Loss = 0.013722985051572323, lr = [0.0001] +[2024-05-15 21:43:44,343] - INFO: Epoch 97/9999, Iter 4800: Loss = 0.015903936699032784, lr = [0.0001] +[2024-05-15 21:44:02,175] - INFO: Epoch 97/9999, Iter 4820: Loss = 0.01812058873474598, lr = [0.0001] +[2024-05-15 21:44:20,368] - INFO: Epoch 97/9999, Iter 4840: Loss = 0.019984064623713493, lr = [0.0001] +[2024-05-15 21:44:39,000] - INFO: Epoch 98/9999, Iter 4860: Loss = 0.016698533669114113, lr = [0.0001] +[2024-05-15 21:44:56,772] - INFO: Epoch 98/9999, Iter 4880: Loss = 0.01724512316286564, lr = [0.0001] +[2024-05-15 21:45:15,756] - INFO: Epoch 99/9999, Iter 4900: Loss = 0.01596948690712452, lr = [0.0001] +[2024-05-15 21:45:32,809] - INFO: Epoch 99/9999, Iter 4920: Loss = 0.011567292734980583, lr = [0.0001] +[2024-05-15 21:45:49,790] - INFO: Epoch 99/9999, Iter 4940: Loss = 0.016977734863758087, lr = [0.0001] +[2024-05-15 21:46:09,908] - INFO: Epoch 100/9999, Iter 4960: Loss = 0.018962005153298378, lr = [0.0001] +[2024-05-15 21:46:27,179] - INFO: Epoch 100/9999, Iter 4980: Loss = 0.011729482561349869, lr = [0.0001] +[2024-05-15 21:46:44,174] - INFO: Evaluate at epoch 100! +[2024-05-15 21:46:51,362] - INFO: Eval PSNR (max): 36.123 (95) SSIM (max): 0.9515 (100) +[2024-05-15 21:46:51,362] - INFO: Eval PSNR (current): 36.075 (100) SSIM (current): 0.9515 (100) +[2024-05-15 21:46:51,363] - INFO: Evaluation over. +[2024-05-15 21:46:57,383] - INFO: Epoch 101/9999, Iter 5000: Loss = 0.014545421116054058, lr = [0.0001] +[2024-05-15 21:47:15,060] - INFO: Epoch 101/9999, Iter 5020: Loss = 0.00948153343051672, lr = [0.0001] +[2024-05-15 21:47:33,335] - INFO: Epoch 101/9999, Iter 5040: Loss = 0.018034247681498528, lr = [0.0001] +[2024-05-15 21:47:52,390] - INFO: Epoch 102/9999, Iter 5060: Loss = 0.022101202979683876, lr = [0.0001] +[2024-05-15 21:48:10,216] - INFO: Epoch 102/9999, Iter 5080: Loss = 0.01665022410452366, lr = [0.0001] +[2024-05-15 21:48:28,951] - INFO: Epoch 103/9999, Iter 5100: Loss = 0.018468299880623817, lr = [0.0001] +[2024-05-15 21:48:46,373] - INFO: Epoch 103/9999, Iter 5120: Loss = 0.012102467939257622, lr = [0.0001] +[2024-05-15 21:49:04,431] - INFO: Epoch 103/9999, Iter 5140: Loss = 0.010744083672761917, lr = [0.0001] +[2024-05-15 21:49:23,629] - INFO: Epoch 104/9999, Iter 5160: Loss = 0.012300162576138973, lr = [0.0001] +[2024-05-15 21:49:40,704] - INFO: Epoch 104/9999, Iter 5180: Loss = 0.01791408844292164, lr = [0.0001] +[2024-05-15 21:49:59,942] - INFO: Epoch 105/9999, Iter 5200: Loss = 0.02256729081273079, lr = [0.0001] +[2024-05-15 21:50:18,163] - INFO: Epoch 105/9999, Iter 5220: Loss = 0.016173314303159714, lr = [0.0001] +[2024-05-15 21:50:35,876] - INFO: Epoch 105/9999, Iter 5240: Loss = 0.018562279641628265, lr = [0.0001] +[2024-05-15 21:50:43,683] - INFO: Evaluate at epoch 105! +[2024-05-15 21:50:54,304] - INFO: Eval PSNR (max): 36.211 (105) SSIM (max): 0.9521 (105) +[2024-05-15 21:50:54,305] - INFO: Eval PSNR (current): 36.211 (105) SSIM (current): 0.9521 (105) +[2024-05-15 21:50:54,305] - INFO: Evaluation over. +[2024-05-15 21:51:08,856] - INFO: Epoch 106/9999, Iter 5260: Loss = 0.015746284276247025, lr = [0.0001] +[2024-05-15 21:51:26,840] - INFO: Epoch 106/9999, Iter 5280: Loss = 0.015104440972208977, lr = [0.0001] +[2024-05-15 21:51:45,796] - INFO: Epoch 107/9999, Iter 5300: Loss = 0.01618134044110775, lr = [0.0001] +[2024-05-15 21:52:04,232] - INFO: Epoch 107/9999, Iter 5320: Loss = 0.020112620666623116, lr = [0.0001] +[2024-05-15 21:52:22,005] - INFO: Epoch 107/9999, Iter 5340: Loss = 0.018534261733293533, lr = [0.0001] +[2024-05-15 21:52:40,823] - INFO: Epoch 108/9999, Iter 5360: Loss = 0.02266801707446575, lr = [0.0001] +[2024-05-15 21:52:58,778] - INFO: Epoch 108/9999, Iter 5380: Loss = 0.01434776559472084, lr = [0.0001] +[2024-05-15 21:53:17,905] - INFO: Epoch 109/9999, Iter 5400: Loss = 0.016499487683176994, lr = [0.0001] +[2024-05-15 21:53:35,826] - INFO: Epoch 109/9999, Iter 5420: Loss = 0.021468909457325935, lr = [0.0001] +[2024-05-15 21:53:54,020] - INFO: Epoch 109/9999, Iter 5440: Loss = 0.015936721116304398, lr = [0.0001] +[2024-05-15 21:54:12,532] - INFO: Epoch 110/9999, Iter 5460: Loss = 0.018254121765494347, lr = [0.0001] +[2024-05-15 21:54:29,656] - INFO: Epoch 110/9999, Iter 5480: Loss = 0.01718471199274063, lr = [0.0001] +[2024-05-15 21:54:46,274] - INFO: Evaluate at epoch 110! +[2024-05-15 21:54:49,876] - INFO: Eval PSNR (max): 36.211 (105) SSIM (max): 0.9521 (105) +[2024-05-15 21:54:49,876] - INFO: Eval PSNR (current): 35.804 (110) SSIM (current): 0.9487 (110) +[2024-05-15 21:54:49,876] - INFO: Evaluation over. +[2024-05-15 21:54:55,807] - INFO: Epoch 111/9999, Iter 5500: Loss = 0.019640102982521057, lr = [0.0001] +[2024-05-15 21:55:14,045] - INFO: Epoch 111/9999, Iter 5520: Loss = 0.014738000929355621, lr = [0.0001] +[2024-05-15 21:55:32,277] - INFO: Epoch 111/9999, Iter 5540: Loss = 0.013801117427647114, lr = [0.0001] +[2024-05-15 21:55:50,890] - INFO: Epoch 112/9999, Iter 5560: Loss = 0.010338762775063515, lr = [0.0001] +[2024-05-15 21:56:08,584] - INFO: Epoch 112/9999, Iter 5580: Loss = 0.016112202778458595, lr = [0.0001] +[2024-05-15 21:56:27,694] - INFO: Epoch 113/9999, Iter 5600: Loss = 0.009770357981324196, lr = [0.0001] +[2024-05-15 21:56:44,843] - INFO: Epoch 113/9999, Iter 5620: Loss = 0.019070951268076897, lr = [0.0001] +[2024-05-15 21:57:03,168] - INFO: Epoch 113/9999, Iter 5640: Loss = 0.0212161373347044, lr = [0.0001] +[2024-05-15 21:57:21,764] - INFO: Epoch 114/9999, Iter 5660: Loss = 0.016139812767505646, lr = [0.0001] +[2024-05-15 21:57:39,074] - INFO: Epoch 114/9999, Iter 5680: Loss = 0.011660505086183548, lr = [0.0001] +[2024-05-15 21:57:58,785] - INFO: Epoch 115/9999, Iter 5700: Loss = 0.015483594499528408, lr = [0.0001] +[2024-05-15 21:58:16,511] - INFO: Epoch 115/9999, Iter 5720: Loss = 0.019719496369361877, lr = [0.0001] +[2024-05-15 21:58:34,164] - INFO: Epoch 115/9999, Iter 5740: Loss = 0.014327247627079487, lr = [0.0001] +[2024-05-15 21:58:42,131] - INFO: Evaluate at epoch 115! +[2024-05-15 21:58:52,862] - INFO: Eval PSNR (max): 36.536 (115) SSIM (max): 0.9535 (115) +[2024-05-15 21:58:52,863] - INFO: Eval PSNR (current): 36.536 (115) SSIM (current): 0.9535 (115) +[2024-05-15 21:58:52,863] - INFO: Evaluation over. +[2024-05-15 21:59:07,460] - INFO: Epoch 116/9999, Iter 5760: Loss = 0.011874295771121979, lr = [0.0001] +[2024-05-15 21:59:24,807] - INFO: Epoch 116/9999, Iter 5780: Loss = 0.014109783805906773, lr = [0.0001] +[2024-05-15 21:59:43,916] - INFO: Epoch 117/9999, Iter 5800: Loss = 0.016444947570562363, lr = [0.0001] +[2024-05-15 22:00:01,643] - INFO: Epoch 117/9999, Iter 5820: Loss = 0.017598392441868782, lr = [0.0001] +[2024-05-15 22:00:20,107] - INFO: Epoch 117/9999, Iter 5840: Loss = 0.022167442366480827, lr = [0.0001] +[2024-05-15 22:00:38,636] - INFO: Epoch 118/9999, Iter 5860: Loss = 0.01581086590886116, lr = [0.0001] +[2024-05-15 22:00:57,150] - INFO: Epoch 118/9999, Iter 5880: Loss = 0.015997078269720078, lr = [0.0001] +[2024-05-15 22:01:16,582] - INFO: Epoch 119/9999, Iter 5900: Loss = 0.014324139803647995, lr = [0.0001] +[2024-05-15 22:01:33,826] - INFO: Epoch 119/9999, Iter 5920: Loss = 0.018479404971003532, lr = [0.0001] +[2024-05-15 22:01:51,358] - INFO: Epoch 119/9999, Iter 5940: Loss = 0.012294245883822441, lr = [0.0001] +[2024-05-15 22:02:10,466] - INFO: Epoch 120/9999, Iter 5960: Loss = 0.015893302857875824, lr = [0.0001] +[2024-05-15 22:02:28,384] - INFO: Epoch 120/9999, Iter 5980: Loss = 0.009956968016922474, lr = [0.0001] +[2024-05-15 22:02:44,912] - INFO: Evaluate at epoch 120! +[2024-05-15 22:02:55,744] - INFO: Eval PSNR (max): 36.546 (120) SSIM (max): 0.9537 (120) +[2024-05-15 22:02:55,745] - INFO: Eval PSNR (current): 36.546 (120) SSIM (current): 0.9537 (120) +[2024-05-15 22:02:55,745] - INFO: Evaluation over. +[2024-05-15 22:03:01,768] - INFO: Epoch 121/9999, Iter 6000: Loss = 0.021911675110459328, lr = [0.0001] +[2024-05-15 22:03:19,068] - INFO: Epoch 121/9999, Iter 6020: Loss = 0.014071481302380562, lr = [0.0001] +[2024-05-15 22:03:37,484] - INFO: Epoch 121/9999, Iter 6040: Loss = 0.01284077763557434, lr = [0.0001] +[2024-05-15 22:03:57,212] - INFO: Epoch 122/9999, Iter 6060: Loss = 0.009189949370920658, lr = [0.0001] +[2024-05-15 22:04:15,152] - INFO: Epoch 122/9999, Iter 6080: Loss = 0.014772219583392143, lr = [0.0001] +[2024-05-15 22:04:33,738] - INFO: Epoch 123/9999, Iter 6100: Loss = 0.017819713801145554, lr = [0.0001] +[2024-05-15 22:04:51,808] - INFO: Epoch 123/9999, Iter 6120: Loss = 0.00997546873986721, lr = [0.0001] +[2024-05-15 22:05:09,744] - INFO: Epoch 123/9999, Iter 6140: Loss = 0.011476821266114712, lr = [0.0001] +[2024-05-15 22:05:28,832] - INFO: Epoch 124/9999, Iter 6160: Loss = 0.014208455570042133, lr = [0.0001] +[2024-05-15 22:05:47,030] - INFO: Epoch 124/9999, Iter 6180: Loss = 0.016434069722890854, lr = [0.0001] +[2024-05-15 22:06:06,231] - INFO: Epoch 125/9999, Iter 6200: Loss = 0.021675560623407364, lr = [0.0001] +[2024-05-15 22:06:24,008] - INFO: Epoch 125/9999, Iter 6220: Loss = 0.016449127346277237, lr = [0.0001] +[2024-05-15 22:06:41,523] - INFO: Epoch 125/9999, Iter 6240: Loss = 0.015964791178703308, lr = [0.0001] +[2024-05-15 22:06:49,547] - INFO: Evaluate at epoch 125! +[2024-05-15 22:07:00,349] - INFO: Eval PSNR (max): 36.643 (125) SSIM (max): 0.9540 (125) +[2024-05-15 22:07:00,350] - INFO: Eval PSNR (current): 36.643 (125) SSIM (current): 0.9540 (125) +[2024-05-15 22:07:00,350] - INFO: Evaluation over. +[2024-05-15 22:07:14,721] - INFO: Epoch 126/9999, Iter 6260: Loss = 0.012015820480883121, lr = [0.0001] +[2024-05-15 22:07:32,348] - INFO: Epoch 126/9999, Iter 6280: Loss = 0.01869606040418148, lr = [0.0001] +[2024-05-15 22:07:51,368] - INFO: Epoch 127/9999, Iter 6300: Loss = 0.016547739505767822, lr = [0.0001] +[2024-05-15 22:08:08,196] - INFO: Epoch 127/9999, Iter 6320: Loss = 0.01157522201538086, lr = [0.0001] +[2024-05-15 22:08:27,292] - INFO: Epoch 127/9999, Iter 6340: Loss = 0.014550737105309963, lr = [0.0001] +[2024-05-15 22:08:46,984] - INFO: Epoch 128/9999, Iter 6360: Loss = 0.02023681439459324, lr = [0.0001] +[2024-05-15 22:09:05,063] - INFO: Epoch 128/9999, Iter 6380: Loss = 0.012705588713288307, lr = [0.0001] +[2024-05-15 22:09:24,296] - INFO: Epoch 129/9999, Iter 6400: Loss = 0.017282716929912567, lr = [0.0001] +[2024-05-15 22:09:41,787] - INFO: Epoch 129/9999, Iter 6420: Loss = 0.016610290855169296, lr = [0.0001] +[2024-05-15 22:10:00,271] - INFO: Epoch 129/9999, Iter 6440: Loss = 0.01812976598739624, lr = [0.0001] +[2024-05-15 22:10:18,273] - INFO: Epoch 130/9999, Iter 6460: Loss = 0.012632337398827076, lr = [0.0001] +[2024-05-15 22:10:35,826] - INFO: Epoch 130/9999, Iter 6480: Loss = 0.011149819009006023, lr = [0.0001] +[2024-05-15 22:10:52,795] - INFO: Evaluate at epoch 130! +[2024-05-15 22:10:56,431] - INFO: Eval PSNR (max): 36.643 (125) SSIM (max): 0.9540 (125) +[2024-05-15 22:10:56,431] - INFO: Eval PSNR (current): 35.826 (130) SSIM (current): 0.9527 (130) +[2024-05-15 22:10:56,432] - INFO: Evaluation over. +[2024-05-15 22:11:06,481] - INFO: Epoch 131/9999, Iter 6500: Loss = 0.01616279035806656, lr = [0.0001] +[2024-05-15 22:11:23,448] - INFO: Epoch 131/9999, Iter 6520: Loss = 0.015673896297812462, lr = [0.0001] +[2024-05-15 22:11:40,948] - INFO: Epoch 131/9999, Iter 6540: Loss = 0.016465215012431145, lr = [0.0001] +[2024-05-15 22:12:00,095] - INFO: Epoch 132/9999, Iter 6560: Loss = 0.014690966345369816, lr = [0.0001] +[2024-05-15 22:12:18,015] - INFO: Epoch 132/9999, Iter 6580: Loss = 0.014150678180158138, lr = [0.0001] +[2024-05-15 22:12:37,194] - INFO: Epoch 133/9999, Iter 6600: Loss = 0.012778322212398052, lr = [0.0001] +[2024-05-15 22:12:54,629] - INFO: Epoch 133/9999, Iter 6620: Loss = 0.013119366951286793, lr = [0.0001] +[2024-05-15 22:13:12,115] - INFO: Epoch 133/9999, Iter 6640: Loss = 0.018390633165836334, lr = [0.0001] +[2024-05-15 22:13:30,656] - INFO: Epoch 134/9999, Iter 6660: Loss = 0.00864801649004221, lr = [0.0001] +[2024-05-15 22:13:48,052] - INFO: Epoch 134/9999, Iter 6680: Loss = 0.016622241586446762, lr = [0.0001] +[2024-05-15 22:14:07,349] - INFO: Epoch 135/9999, Iter 6700: Loss = 0.01796470209956169, lr = [0.0001] +[2024-05-15 22:14:25,772] - INFO: Epoch 135/9999, Iter 6720: Loss = 0.0100166667252779, lr = [0.0001] +[2024-05-15 22:14:43,038] - INFO: Epoch 135/9999, Iter 6740: Loss = 0.01908254064619541, lr = [0.0001] +[2024-05-15 22:14:50,781] - INFO: Evaluate at epoch 135! +[2024-05-15 22:15:01,322] - INFO: Eval PSNR (max): 36.795 (135) SSIM (max): 0.9552 (135) +[2024-05-15 22:15:01,323] - INFO: Eval PSNR (current): 36.795 (135) SSIM (current): 0.9552 (135) +[2024-05-15 22:15:01,323] - INFO: Evaluation over. +[2024-05-15 22:15:16,144] - INFO: Epoch 136/9999, Iter 6760: Loss = 0.018028797581791878, lr = [0.0001] +[2024-05-15 22:15:34,391] - INFO: Epoch 136/9999, Iter 6780: Loss = 0.01783578284084797, lr = [0.0001] +[2024-05-15 22:15:53,192] - INFO: Epoch 137/9999, Iter 6800: Loss = 0.030127523466944695, lr = [0.0001] +[2024-05-15 22:16:11,489] - INFO: Epoch 137/9999, Iter 6820: Loss = 0.008153931237757206, lr = [0.0001] +[2024-05-15 22:16:29,036] - INFO: Epoch 137/9999, Iter 6840: Loss = 0.011698508635163307, lr = [0.0001] +[2024-05-15 22:16:47,663] - INFO: Epoch 138/9999, Iter 6860: Loss = 0.013456763699650764, lr = [0.0001] +[2024-05-15 22:17:05,419] - INFO: Epoch 138/9999, Iter 6880: Loss = 0.01893031969666481, lr = [0.0001] +[2024-05-15 22:17:24,732] - INFO: Epoch 139/9999, Iter 6900: Loss = 0.01872708648443222, lr = [0.0001] +[2024-05-15 22:17:42,580] - INFO: Epoch 139/9999, Iter 6920: Loss = 0.016807882115244865, lr = [0.0001] +[2024-05-15 22:18:00,832] - INFO: Epoch 139/9999, Iter 6940: Loss = 0.017105743288993835, lr = [0.0001] +[2024-05-15 22:18:19,726] - INFO: Epoch 140/9999, Iter 6960: Loss = 0.012218285351991653, lr = [0.0001] +[2024-05-15 22:18:37,928] - INFO: Epoch 140/9999, Iter 6980: Loss = 0.018993793055415154, lr = [0.0001] +[2024-05-15 22:18:54,316] - INFO: Evaluate at epoch 140! +[2024-05-15 22:19:01,377] - INFO: Eval PSNR (max): 36.795 (135) SSIM (max): 0.9553 (140) +[2024-05-15 22:19:01,377] - INFO: Eval PSNR (current): 36.714 (140) SSIM (current): 0.9553 (140) +[2024-05-15 22:19:01,377] - INFO: Evaluation over. +[2024-05-15 22:19:07,160] - INFO: Epoch 141/9999, Iter 7000: Loss = 0.01800554431974888, lr = [0.0001] +[2024-05-15 22:19:24,772] - INFO: Epoch 141/9999, Iter 7020: Loss = 0.01207930501550436, lr = [0.0001] +[2024-05-15 22:19:43,263] - INFO: Epoch 141/9999, Iter 7040: Loss = 0.01731443777680397, lr = [0.0001] +[2024-05-15 22:20:01,903] - INFO: Epoch 142/9999, Iter 7060: Loss = 0.0206916481256485, lr = [0.0001] +[2024-05-15 22:20:19,194] - INFO: Epoch 142/9999, Iter 7080: Loss = 0.015517054125666618, lr = [0.0001] +[2024-05-15 22:20:37,960] - INFO: Epoch 143/9999, Iter 7100: Loss = 0.020700031891465187, lr = [0.0001] +[2024-05-15 22:20:56,116] - INFO: Epoch 143/9999, Iter 7120: Loss = 0.017580466344952583, lr = [0.0001] +[2024-05-15 22:21:12,938] - INFO: Epoch 143/9999, Iter 7140: Loss = 0.02373029664158821, lr = [0.0001] +[2024-05-15 22:21:32,288] - INFO: Epoch 144/9999, Iter 7160: Loss = 0.031411584466695786, lr = [0.0001] +[2024-05-15 22:21:50,057] - INFO: Epoch 144/9999, Iter 7180: Loss = 0.013402411714196205, lr = [0.0001] +[2024-05-15 22:22:08,836] - INFO: Epoch 145/9999, Iter 7200: Loss = 0.016785161569714546, lr = [0.0001] +[2024-05-15 22:22:27,024] - INFO: Epoch 145/9999, Iter 7220: Loss = 0.01841379702091217, lr = [0.0001] +[2024-05-15 22:22:44,946] - INFO: Epoch 145/9999, Iter 7240: Loss = 0.017108816653490067, lr = [0.0001] +[2024-05-15 22:22:52,283] - INFO: Evaluate at epoch 145! +[2024-05-15 22:22:55,812] - INFO: Eval PSNR (max): 36.795 (135) SSIM (max): 0.9553 (140) +[2024-05-15 22:22:55,812] - INFO: Eval PSNR (current): 36.536 (145) SSIM (current): 0.9547 (145) +[2024-05-15 22:22:55,812] - INFO: Evaluation over. +[2024-05-15 22:23:10,964] - INFO: Epoch 146/9999, Iter 7260: Loss = 0.019756708294153214, lr = [0.0001] +[2024-05-15 22:23:27,938] - INFO: Epoch 146/9999, Iter 7280: Loss = 0.013378976844251156, lr = [0.0001] +[2024-05-15 22:23:47,364] - INFO: Epoch 147/9999, Iter 7300: Loss = 0.017217937856912613, lr = [0.0001] +[2024-05-15 22:24:04,696] - INFO: Epoch 147/9999, Iter 7320: Loss = 0.017412355169653893, lr = [0.0001] +[2024-05-15 22:24:22,224] - INFO: Epoch 147/9999, Iter 7340: Loss = 0.013117730617523193, lr = [0.0001] +[2024-05-15 22:24:41,150] - INFO: Epoch 148/9999, Iter 7360: Loss = 0.010073299519717693, lr = [0.0001] +[2024-05-15 22:24:59,110] - INFO: Epoch 148/9999, Iter 7380: Loss = 0.016352292150259018, lr = [0.0001] +[2024-05-15 22:25:17,960] - INFO: Epoch 149/9999, Iter 7400: Loss = 0.01953653246164322, lr = [0.0001] +[2024-05-15 22:25:35,766] - INFO: Epoch 149/9999, Iter 7420: Loss = 0.014323047362267971, lr = [0.0001] +[2024-05-15 22:25:53,088] - INFO: Epoch 149/9999, Iter 7440: Loss = 0.010432836599647999, lr = [0.0001] +[2024-05-15 22:26:12,483] - INFO: Epoch 150/9999, Iter 7460: Loss = 0.014690609648823738, lr = [0.0001] +[2024-05-15 22:26:30,343] - INFO: Epoch 150/9999, Iter 7480: Loss = 0.012388638220727444, lr = [0.0001] +[2024-05-15 22:26:46,648] - INFO: Evaluate at epoch 150! +[2024-05-15 22:26:53,862] - INFO: Eval PSNR (max): 36.795 (135) SSIM (max): 0.9559 (150) +[2024-05-15 22:26:53,863] - INFO: Eval PSNR (current): 36.739 (150) SSIM (current): 0.9559 (150) +[2024-05-15 22:26:53,863] - INFO: Evaluation over. +[2024-05-15 22:26:59,980] - INFO: Epoch 151/9999, Iter 7500: Loss = 0.017899641767144203, lr = [0.0001] +[2024-05-15 22:27:16,960] - INFO: Epoch 151/9999, Iter 7520: Loss = 0.013542239554226398, lr = [0.0001] +[2024-05-15 22:27:34,826] - INFO: Epoch 151/9999, Iter 7540: Loss = 0.02197694592177868, lr = [0.0001] +[2024-05-15 22:27:54,534] - INFO: Epoch 152/9999, Iter 7560: Loss = 0.017925016582012177, lr = [0.0001] +[2024-05-15 22:28:12,455] - INFO: Epoch 152/9999, Iter 7580: Loss = 0.012872335501015186, lr = [0.0001] +[2024-05-15 22:28:31,377] - INFO: Epoch 153/9999, Iter 7600: Loss = 0.019262611865997314, lr = [0.0001] +[2024-05-15 22:28:48,895] - INFO: Epoch 153/9999, Iter 7620: Loss = 0.014461142010986805, lr = [0.0001] +[2024-05-15 22:29:06,229] - INFO: Epoch 153/9999, Iter 7640: Loss = 0.021032841876149178, lr = [0.0001] +[2024-05-15 22:29:25,223] - INFO: Epoch 154/9999, Iter 7660: Loss = 0.013491848483681679, lr = [0.0001] +[2024-05-15 22:29:43,384] - INFO: Epoch 154/9999, Iter 7680: Loss = 0.016124319285154343, lr = [0.0001] +[2024-05-15 22:30:02,068] - INFO: Epoch 155/9999, Iter 7700: Loss = 0.011281447485089302, lr = [0.0001] +[2024-05-15 22:30:20,052] - INFO: Epoch 155/9999, Iter 7720: Loss = 0.015118769370019436, lr = [0.0001] +[2024-05-15 22:30:37,949] - INFO: Epoch 155/9999, Iter 7740: Loss = 0.011095218360424042, lr = [0.0001] +[2024-05-15 22:30:45,615] - INFO: Evaluate at epoch 155! +[2024-05-15 22:30:56,338] - INFO: Eval PSNR (max): 36.936 (155) SSIM (max): 0.9562 (155) +[2024-05-15 22:30:56,339] - INFO: Eval PSNR (current): 36.936 (155) SSIM (current): 0.9562 (155) +[2024-05-15 22:30:56,339] - INFO: Evaluation over. +[2024-05-15 22:31:11,364] - INFO: Epoch 156/9999, Iter 7760: Loss = 0.013384929858148098, lr = [0.0001] +[2024-05-15 22:31:29,381] - INFO: Epoch 156/9999, Iter 7780: Loss = 0.01674165390431881, lr = [0.0001] +[2024-05-15 22:31:48,712] - INFO: Epoch 157/9999, Iter 7800: Loss = 0.023295247927308083, lr = [0.0001] +[2024-05-15 22:32:06,132] - INFO: Epoch 157/9999, Iter 7820: Loss = 0.01187705248594284, lr = [0.0001] +[2024-05-15 22:32:24,196] - INFO: Epoch 157/9999, Iter 7840: Loss = 0.014052395708858967, lr = [0.0001] +[2024-05-15 22:32:42,571] - INFO: Epoch 158/9999, Iter 7860: Loss = 0.016065973788499832, lr = [0.0001] +[2024-05-15 22:33:00,234] - INFO: Epoch 158/9999, Iter 7880: Loss = 0.015116753056645393, lr = [0.0001] +[2024-05-15 22:33:19,580] - INFO: Epoch 159/9999, Iter 7900: Loss = 0.010200714692473412, lr = [0.0001] +[2024-05-15 22:33:37,848] - INFO: Epoch 159/9999, Iter 7920: Loss = 0.013761119917035103, lr = [0.0001] +[2024-05-15 22:33:55,247] - INFO: Epoch 159/9999, Iter 7940: Loss = 0.016514230519533157, lr = [0.0001] +[2024-05-15 22:34:13,920] - INFO: Epoch 160/9999, Iter 7960: Loss = 0.015362993814051151, lr = [0.0001] +[2024-05-15 22:34:31,739] - INFO: Epoch 160/9999, Iter 7980: Loss = 0.012057333253324032, lr = [0.0001] +[2024-05-15 22:34:48,629] - INFO: Evaluate at epoch 160! +[2024-05-15 22:34:59,247] - INFO: Eval PSNR (max): 36.982 (160) SSIM (max): 0.9564 (160) +[2024-05-15 22:34:59,248] - INFO: Eval PSNR (current): 36.982 (160) SSIM (current): 0.9564 (160) +[2024-05-15 22:34:59,248] - INFO: Evaluation over. +[2024-05-15 22:35:05,312] - INFO: Epoch 161/9999, Iter 8000: Loss = 0.012764250859618187, lr = [0.0001] +[2024-05-15 22:35:23,340] - INFO: Epoch 161/9999, Iter 8020: Loss = 0.011055715382099152, lr = [0.0001] +[2024-05-15 22:35:41,148] - INFO: Epoch 161/9999, Iter 8040: Loss = 0.01361459493637085, lr = [0.0001] +[2024-05-15 22:35:59,877] - INFO: Epoch 162/9999, Iter 8060: Loss = 0.014204793609678745, lr = [0.0001] +[2024-05-15 22:36:17,729] - INFO: Epoch 162/9999, Iter 8080: Loss = 0.00904261413961649, lr = [0.0001] +[2024-05-15 22:36:36,968] - INFO: Epoch 163/9999, Iter 8100: Loss = 0.013575625605881214, lr = [0.0001] +[2024-05-15 22:36:54,810] - INFO: Epoch 163/9999, Iter 8120: Loss = 0.014616357162594795, lr = [0.0001] +[2024-05-15 22:37:12,908] - INFO: Epoch 163/9999, Iter 8140: Loss = 0.020998679101467133, lr = [0.0001] +[2024-05-15 22:37:31,428] - INFO: Epoch 164/9999, Iter 8160: Loss = 0.011641580611467361, lr = [0.0001] +[2024-05-15 22:37:48,776] - INFO: Epoch 164/9999, Iter 8180: Loss = 0.012498280964791775, lr = [0.0001] +[2024-05-15 22:38:08,429] - INFO: Epoch 165/9999, Iter 8200: Loss = 0.01799677312374115, lr = [0.0001] +[2024-05-15 22:38:26,763] - INFO: Epoch 165/9999, Iter 8220: Loss = 0.02015300653874874, lr = [0.0001] +[2024-05-15 22:38:44,865] - INFO: Epoch 165/9999, Iter 8240: Loss = 0.013091226108372211, lr = [0.0001] +[2024-05-15 22:38:52,248] - INFO: Evaluate at epoch 165! +[2024-05-15 22:38:55,770] - INFO: Eval PSNR (max): 36.982 (160) SSIM (max): 0.9564 (160) +[2024-05-15 22:38:55,770] - INFO: Eval PSNR (current): 36.900 (165) SSIM (current): 0.9564 (165) +[2024-05-15 22:38:55,770] - INFO: Evaluation over. +[2024-05-15 22:39:10,825] - INFO: Epoch 166/9999, Iter 8260: Loss = 0.020388193428516388, lr = [0.0001] +[2024-05-15 22:39:28,486] - INFO: Epoch 166/9999, Iter 8280: Loss = 0.018375176936388016, lr = [0.0001] +[2024-05-15 22:39:47,742] - INFO: Epoch 167/9999, Iter 8300: Loss = 0.013868174515664577, lr = [0.0001] +[2024-05-15 22:40:04,460] - INFO: Epoch 167/9999, Iter 8320: Loss = 0.018463537096977234, lr = [0.0001] +[2024-05-15 22:40:22,340] - INFO: Epoch 167/9999, Iter 8340: Loss = 0.0187798123806715, lr = [0.0001] +[2024-05-15 22:40:41,036] - INFO: Epoch 168/9999, Iter 8360: Loss = 0.01502760499715805, lr = [0.0001] +[2024-05-15 22:40:58,614] - INFO: Epoch 168/9999, Iter 8380: Loss = 0.02570084109902382, lr = [0.0001] +[2024-05-15 22:41:17,828] - INFO: Epoch 169/9999, Iter 8400: Loss = 0.010338998399674892, lr = [0.0001] +[2024-05-15 22:41:34,689] - INFO: Epoch 169/9999, Iter 8420: Loss = 0.01602698490023613, lr = [0.0001] +[2024-05-15 22:41:52,013] - INFO: Epoch 169/9999, Iter 8440: Loss = 0.023163745179772377, lr = [0.0001] +[2024-05-15 22:42:10,380] - INFO: Epoch 170/9999, Iter 8460: Loss = 0.016366496682167053, lr = [0.0001] +[2024-05-15 22:42:27,758] - INFO: Epoch 170/9999, Iter 8480: Loss = 0.015395764261484146, lr = [0.0001] +[2024-05-15 22:42:44,409] - INFO: Evaluate at epoch 170! +[2024-05-15 22:42:55,021] - INFO: Eval PSNR (max): 37.082 (170) SSIM (max): 0.9573 (170) +[2024-05-15 22:42:55,022] - INFO: Eval PSNR (current): 37.082 (170) SSIM (current): 0.9573 (170) +[2024-05-15 22:42:55,022] - INFO: Evaluation over. +[2024-05-15 22:43:00,994] - INFO: Epoch 171/9999, Iter 8500: Loss = 0.013450783677399158, lr = [0.0001] +[2024-05-15 22:43:19,054] - INFO: Epoch 171/9999, Iter 8520: Loss = 0.014724837616086006, lr = [0.0001] +[2024-05-15 22:43:37,132] - INFO: Epoch 171/9999, Iter 8540: Loss = 0.011461238376796246, lr = [0.0001] +[2024-05-15 22:43:55,322] - INFO: Epoch 172/9999, Iter 8560: Loss = 0.01777368225157261, lr = [0.0001] +[2024-05-15 22:44:13,469] - INFO: Epoch 172/9999, Iter 8580: Loss = 0.030436979606747627, lr = [0.0001] +[2024-05-15 22:44:32,281] - INFO: Epoch 173/9999, Iter 8600: Loss = 0.02013528347015381, lr = [0.0001] +[2024-05-15 22:44:50,334] - INFO: Epoch 173/9999, Iter 8620: Loss = 0.023231279104948044, lr = [0.0001] +[2024-05-15 22:45:08,343] - INFO: Epoch 173/9999, Iter 8640: Loss = 0.013944287784397602, lr = [0.0001] +[2024-05-15 22:45:27,604] - INFO: Epoch 174/9999, Iter 8660: Loss = 0.010318911634385586, lr = [0.0001] +[2024-05-15 22:45:45,683] - INFO: Epoch 174/9999, Iter 8680: Loss = 0.011038877069950104, lr = [0.0001] +[2024-05-15 22:46:04,544] - INFO: Epoch 175/9999, Iter 8700: Loss = 0.020116539672017097, lr = [0.0001] +[2024-05-15 22:46:22,776] - INFO: Epoch 175/9999, Iter 8720: Loss = 0.011528300121426582, lr = [0.0001] +[2024-05-15 22:46:40,637] - INFO: Epoch 175/9999, Iter 8740: Loss = 0.012305018492043018, lr = [0.0001] +[2024-05-15 22:46:48,331] - INFO: Evaluate at epoch 175! +[2024-05-15 22:46:51,878] - INFO: Eval PSNR (max): 37.082 (170) SSIM (max): 0.9573 (170) +[2024-05-15 22:46:51,878] - INFO: Eval PSNR (current): 36.780 (175) SSIM (current): 0.9556 (175) +[2024-05-15 22:46:51,878] - INFO: Evaluation over. +[2024-05-15 22:47:06,919] - INFO: Epoch 176/9999, Iter 8760: Loss = 0.01257915049791336, lr = [0.0001] +[2024-05-15 22:47:25,087] - INFO: Epoch 176/9999, Iter 8780: Loss = 0.015074639581143856, lr = [0.0001] +[2024-05-15 22:47:43,844] - INFO: Epoch 177/9999, Iter 8800: Loss = 0.020659849047660828, lr = [0.0001] +[2024-05-15 22:48:01,724] - INFO: Epoch 177/9999, Iter 8820: Loss = 0.014327548444271088, lr = [0.0001] +[2024-05-15 22:48:19,692] - INFO: Epoch 177/9999, Iter 8840: Loss = 0.016681721433997154, lr = [0.0001] +[2024-05-15 22:48:37,721] - INFO: Epoch 178/9999, Iter 8860: Loss = 0.017193686217069626, lr = [0.0001] +[2024-05-15 22:48:55,180] - INFO: Epoch 178/9999, Iter 8880: Loss = 0.009059332311153412, lr = [0.0001] +[2024-05-15 22:49:14,827] - INFO: Epoch 179/9999, Iter 8900: Loss = 0.017479730769991875, lr = [0.0001] +[2024-05-15 22:49:32,470] - INFO: Epoch 179/9999, Iter 8920: Loss = 0.012343783862888813, lr = [0.0001] +[2024-05-15 22:49:50,474] - INFO: Epoch 179/9999, Iter 8940: Loss = 0.01250472106039524, lr = [0.0001] +[2024-05-15 22:50:09,064] - INFO: Epoch 180/9999, Iter 8960: Loss = 0.011582146398723125, lr = [0.0001] +[2024-05-15 22:50:26,356] - INFO: Epoch 180/9999, Iter 8980: Loss = 0.011407533660531044, lr = [0.0001] +[2024-05-15 22:50:42,783] - INFO: Evaluate at epoch 180! +[2024-05-15 22:50:46,565] - INFO: Eval PSNR (max): 37.082 (170) SSIM (max): 0.9573 (170) +[2024-05-15 22:50:46,565] - INFO: Eval PSNR (current): 37.045 (180) SSIM (current): 0.9569 (180) +[2024-05-15 22:50:46,566] - INFO: Evaluation over. +[2024-05-15 22:50:52,492] - INFO: Epoch 181/9999, Iter 9000: Loss = 0.0188780277967453, lr = [0.0001] +[2024-05-15 22:51:10,612] - INFO: Epoch 181/9999, Iter 9020: Loss = 0.01302171777933836, lr = [0.0001] +[2024-05-15 22:51:28,799] - INFO: Epoch 181/9999, Iter 9040: Loss = 0.0157324206084013, lr = [0.0001] +[2024-05-15 22:51:47,831] - INFO: Epoch 182/9999, Iter 9060: Loss = 0.009423620998859406, lr = [0.0001] +[2024-05-15 22:52:05,330] - INFO: Epoch 182/9999, Iter 9080: Loss = 0.018306424841284752, lr = [0.0001] +[2024-05-15 22:52:24,171] - INFO: Epoch 183/9999, Iter 9100: Loss = 0.011117763817310333, lr = [0.0001] +[2024-05-15 22:52:41,893] - INFO: Epoch 183/9999, Iter 9120: Loss = 0.01739281788468361, lr = [0.0001] +[2024-05-15 22:53:00,041] - INFO: Epoch 183/9999, Iter 9140: Loss = 0.013960451819002628, lr = [0.0001] +[2024-05-15 22:53:19,096] - INFO: Epoch 184/9999, Iter 9160: Loss = 0.012305865064263344, lr = [0.0001] +[2024-05-15 22:53:36,512] - INFO: Epoch 184/9999, Iter 9180: Loss = 0.017937177792191505, lr = [0.0001] +[2024-05-15 22:53:55,542] - INFO: Epoch 185/9999, Iter 9200: Loss = 0.015702100470662117, lr = [0.0001] +[2024-05-15 22:54:13,225] - INFO: Epoch 185/9999, Iter 9220: Loss = 0.0192632507532835, lr = [0.0001] +[2024-05-15 22:54:31,176] - INFO: Epoch 185/9999, Iter 9240: Loss = 0.015093708410859108, lr = [0.0001] +[2024-05-15 22:54:38,894] - INFO: Evaluate at epoch 185! +[2024-05-15 22:54:45,953] - INFO: Eval PSNR (max): 37.099 (185) SSIM (max): 0.9573 (170) +[2024-05-15 22:54:45,953] - INFO: Eval PSNR (current): 37.099 (185) SSIM (current): 0.9569 (185) +[2024-05-15 22:54:45,954] - INFO: Evaluation over. +[2024-05-15 22:55:00,824] - INFO: Epoch 186/9999, Iter 9260: Loss = 0.00972527451813221, lr = [0.0001] +[2024-05-15 22:55:18,131] - INFO: Epoch 186/9999, Iter 9280: Loss = 0.018516141921281815, lr = [0.0001] +[2024-05-15 22:55:37,359] - INFO: Epoch 187/9999, Iter 9300: Loss = 0.010784315876662731, lr = [0.0001] +[2024-05-15 22:55:55,111] - INFO: Epoch 187/9999, Iter 9320: Loss = 0.013488397002220154, lr = [0.0001] +[2024-05-15 22:56:12,884] - INFO: Epoch 187/9999, Iter 9340: Loss = 0.015327395871281624, lr = [0.0001] +[2024-05-15 22:56:32,315] - INFO: Epoch 188/9999, Iter 9360: Loss = 0.015232515521347523, lr = [0.0001] +[2024-05-15 22:56:50,630] - INFO: Epoch 188/9999, Iter 9380: Loss = 0.016746103763580322, lr = [0.0001] +[2024-05-15 22:57:09,551] - INFO: Epoch 189/9999, Iter 9400: Loss = 0.01249861903488636, lr = [0.0001] +[2024-05-15 22:57:27,344] - INFO: Epoch 189/9999, Iter 9420: Loss = 0.01084862556308508, lr = [0.0001] +[2024-05-15 22:57:44,444] - INFO: Epoch 189/9999, Iter 9440: Loss = 0.011064969003200531, lr = [0.0001] +[2024-05-15 22:58:03,974] - INFO: Epoch 190/9999, Iter 9460: Loss = 0.014143724925816059, lr = [0.0001] +[2024-05-15 22:58:22,008] - INFO: Epoch 190/9999, Iter 9480: Loss = 0.012554826214909554, lr = [0.0001] +[2024-05-15 22:58:38,220] - INFO: Evaluate at epoch 190! +[2024-05-15 22:58:42,035] - INFO: Eval PSNR (max): 37.099 (185) SSIM (max): 0.9573 (170) +[2024-05-15 22:58:42,036] - INFO: Eval PSNR (current): 37.012 (190) SSIM (current): 0.9570 (190) +[2024-05-15 22:58:42,036] - INFO: Evaluation over. +[2024-05-15 22:58:48,006] - INFO: Epoch 191/9999, Iter 9500: Loss = 0.010981219820678234, lr = [0.0001] +[2024-05-15 22:59:05,508] - INFO: Epoch 191/9999, Iter 9520: Loss = 0.01873776689171791, lr = [0.0001] +[2024-05-15 22:59:23,803] - INFO: Epoch 191/9999, Iter 9540: Loss = 0.018083615228533745, lr = [0.0001] +[2024-05-15 22:59:42,741] - INFO: Epoch 192/9999, Iter 9560: Loss = 0.02626194804906845, lr = [0.0001] +[2024-05-15 23:00:00,488] - INFO: Epoch 192/9999, Iter 9580: Loss = 0.010479332879185677, lr = [0.0001] +[2024-05-15 23:00:19,292] - INFO: Epoch 193/9999, Iter 9600: Loss = 0.013359880074858665, lr = [0.0001] +[2024-05-15 23:00:36,676] - INFO: Epoch 193/9999, Iter 9620: Loss = 0.02238435298204422, lr = [0.0001] +[2024-05-15 23:00:54,552] - INFO: Epoch 193/9999, Iter 9640: Loss = 0.020637687295675278, lr = [0.0001] +[2024-05-15 23:01:13,746] - INFO: Epoch 194/9999, Iter 9660: Loss = 0.016445448622107506, lr = [0.0001] +[2024-05-15 23:01:31,428] - INFO: Epoch 194/9999, Iter 9680: Loss = 0.01869891583919525, lr = [0.0001] +[2024-05-15 23:01:49,692] - INFO: Epoch 195/9999, Iter 9700: Loss = 0.01885436661541462, lr = [0.0001] +[2024-05-15 23:02:07,992] - INFO: Epoch 195/9999, Iter 9720: Loss = 0.017462553456425667, lr = [0.0001] +[2024-05-15 23:02:26,248] - INFO: Epoch 195/9999, Iter 9740: Loss = 0.01717638596892357, lr = [0.0001] +[2024-05-15 23:02:33,834] - INFO: Evaluate at epoch 195! +[2024-05-15 23:02:37,412] - INFO: Eval PSNR (max): 37.099 (185) SSIM (max): 0.9573 (170) +[2024-05-15 23:02:37,412] - INFO: Eval PSNR (current): 36.946 (195) SSIM (current): 0.9534 (195) +[2024-05-15 23:02:37,413] - INFO: Evaluation over. +[2024-05-15 23:02:52,668] - INFO: Epoch 196/9999, Iter 9760: Loss = 0.017358653247356415, lr = [0.0001] +[2024-05-15 23:03:10,768] - INFO: Epoch 196/9999, Iter 9780: Loss = 0.013923531398177147, lr = [0.0001] +[2024-05-15 23:03:29,637] - INFO: Epoch 197/9999, Iter 9800: Loss = 0.019399482756853104, lr = [0.0001] +[2024-05-15 23:03:47,508] - INFO: Epoch 197/9999, Iter 9820: Loss = 0.014730147086083889, lr = [0.0001] +[2024-05-15 23:04:05,756] - INFO: Epoch 197/9999, Iter 9840: Loss = 0.015304205007851124, lr = [0.0001] +[2024-05-15 23:04:24,369] - INFO: Epoch 198/9999, Iter 9860: Loss = 0.014796596951782703, lr = [0.0001] +[2024-05-15 23:04:41,560] - INFO: Epoch 198/9999, Iter 9880: Loss = 0.01505966205149889, lr = [0.0001] +[2024-05-15 23:05:00,844] - INFO: Epoch 199/9999, Iter 9900: Loss = 0.015513111837208271, lr = [0.0001] +[2024-05-15 23:05:18,887] - INFO: Epoch 199/9999, Iter 9920: Loss = 0.018719779327511787, lr = [0.0001] +[2024-05-15 23:05:36,685] - INFO: Epoch 199/9999, Iter 9940: Loss = 0.01790122501552105, lr = [0.0001] +[2024-05-15 23:05:55,052] - INFO: Epoch 200/9999, Iter 9960: Loss = 0.019419683143496513, lr = [0.0001] +[2024-05-15 23:06:13,013] - INFO: Epoch 200/9999, Iter 9980: Loss = 0.020832465961575508, lr = [0.0001] +[2024-05-15 23:06:30,141] - INFO: Evaluate at epoch 200! +[2024-05-15 23:06:40,976] - INFO: Eval PSNR (max): 37.190 (200) SSIM (max): 0.9575 (200) +[2024-05-15 23:06:40,977] - INFO: Eval PSNR (current): 37.190 (200) SSIM (current): 0.9575 (200) +[2024-05-15 23:06:40,977] - INFO: Evaluation over. +[2024-05-15 23:06:46,990] - INFO: Epoch 201/9999, Iter 10000: Loss = 0.01507474109530449, lr = [0.0001] +[2024-05-15 23:07:04,476] - INFO: Epoch 201/9999, Iter 10020: Loss = 0.01061776652932167, lr = [0.0001] +[2024-05-15 23:07:22,138] - INFO: Epoch 201/9999, Iter 10040: Loss = 0.01738487184047699, lr = [0.0001] +[2024-05-15 23:07:41,560] - INFO: Epoch 202/9999, Iter 10060: Loss = 0.01452937163412571, lr = [0.0001] +[2024-05-15 23:07:59,772] - INFO: Epoch 202/9999, Iter 10080: Loss = 0.01923287846148014, lr = [0.0001] +[2024-05-15 23:08:18,824] - INFO: Epoch 203/9999, Iter 10100: Loss = 0.016184315085411072, lr = [0.0001] +[2024-05-15 23:08:37,044] - INFO: Epoch 203/9999, Iter 10120: Loss = 0.015887383371591568, lr = [0.0001] +[2024-05-15 23:08:54,741] - INFO: Epoch 203/9999, Iter 10140: Loss = 0.014713658019900322, lr = [0.0001] +[2024-05-15 23:09:13,162] - INFO: Epoch 204/9999, Iter 10160: Loss = 0.011491261422634125, lr = [0.0001] +[2024-05-15 23:09:31,283] - INFO: Epoch 204/9999, Iter 10180: Loss = 0.015407628379762173, lr = [0.0001] +[2024-05-15 23:09:50,461] - INFO: Epoch 205/9999, Iter 10200: Loss = 0.023085886612534523, lr = [0.0001] +[2024-05-15 23:10:08,307] - INFO: Epoch 205/9999, Iter 10220: Loss = 0.013181359507143497, lr = [0.0001] +[2024-05-15 23:10:25,848] - INFO: Epoch 205/9999, Iter 10240: Loss = 0.011252623051404953, lr = [0.0001] +[2024-05-15 23:10:33,723] - INFO: Evaluate at epoch 205! +[2024-05-15 23:10:44,468] - INFO: Eval PSNR (max): 37.213 (205) SSIM (max): 0.9577 (205) +[2024-05-15 23:10:44,468] - INFO: Eval PSNR (current): 37.213 (205) SSIM (current): 0.9577 (205) +[2024-05-15 23:10:44,468] - INFO: Evaluation over. +[2024-05-15 23:10:59,203] - INFO: Epoch 206/9999, Iter 10260: Loss = 0.015717141330242157, lr = [0.0001] +[2024-05-15 23:11:16,804] - INFO: Epoch 206/9999, Iter 10280: Loss = 0.01251134742051363, lr = [0.0001] +[2024-05-15 23:11:35,968] - INFO: Epoch 207/9999, Iter 10300: Loss = 0.012335686944425106, lr = [0.0001] +[2024-05-15 23:11:53,380] - INFO: Epoch 207/9999, Iter 10320: Loss = 0.016830729320645332, lr = [0.0001] +[2024-05-15 23:12:11,236] - INFO: Epoch 207/9999, Iter 10340: Loss = 0.016003718599677086, lr = [0.0001] +[2024-05-15 23:12:30,360] - INFO: Epoch 208/9999, Iter 10360: Loss = 0.03027682937681675, lr = [0.0001] +[2024-05-15 23:12:48,780] - INFO: Epoch 208/9999, Iter 10380: Loss = 0.015578271821141243, lr = [0.0001] +[2024-05-15 23:13:07,228] - INFO: Epoch 209/9999, Iter 10400: Loss = 0.014579450711607933, lr = [0.0001] +[2024-05-15 23:13:25,992] - INFO: Epoch 209/9999, Iter 10420: Loss = 0.018200432881712914, lr = [0.0001] +[2024-05-15 23:13:42,958] - INFO: Epoch 209/9999, Iter 10440: Loss = 0.013630473986268044, lr = [0.0001] +[2024-05-15 23:14:01,930] - INFO: Epoch 210/9999, Iter 10460: Loss = 0.017085982486605644, lr = [0.0001] +[2024-05-15 23:14:19,512] - INFO: Epoch 210/9999, Iter 10480: Loss = 0.011796939186751842, lr = [0.0001] +[2024-05-15 23:14:35,788] - INFO: Evaluate at epoch 210! +[2024-05-15 23:14:39,419] - INFO: Eval PSNR (max): 37.213 (205) SSIM (max): 0.9577 (205) +[2024-05-15 23:14:39,419] - INFO: Eval PSNR (current): 37.058 (210) SSIM (current): 0.9568 (210) +[2024-05-15 23:14:39,420] - INFO: Evaluation over. +[2024-05-15 23:14:45,320] - INFO: Epoch 211/9999, Iter 10500: Loss = 0.019170895218849182, lr = [0.0001] +[2024-05-15 23:15:03,332] - INFO: Epoch 211/9999, Iter 10520: Loss = 0.01046544499695301, lr = [0.0001] +[2024-05-15 23:15:21,385] - INFO: Epoch 211/9999, Iter 10540: Loss = 0.015726257115602493, lr = [0.0001] +[2024-05-15 23:15:40,438] - INFO: Epoch 212/9999, Iter 10560: Loss = 0.017554746940732002, lr = [0.0001] +[2024-05-15 23:15:57,862] - INFO: Epoch 212/9999, Iter 10580: Loss = 0.017410537227988243, lr = [0.0001] +[2024-05-15 23:16:17,043] - INFO: Epoch 213/9999, Iter 10600: Loss = 0.021948309615254402, lr = [0.0001] +[2024-05-15 23:16:34,721] - INFO: Epoch 213/9999, Iter 10620: Loss = 0.014979839324951172, lr = [0.0001] +[2024-05-15 23:16:52,418] - INFO: Epoch 213/9999, Iter 10640: Loss = 0.020829344168305397, lr = [0.0001] +[2024-05-15 23:17:10,203] - INFO: Epoch 214/9999, Iter 10660: Loss = 0.01976240985095501, lr = [0.0001] +[2024-05-15 23:17:28,462] - INFO: Epoch 214/9999, Iter 10680: Loss = 0.014409573748707771, lr = [0.0001] +[2024-05-15 23:17:47,691] - INFO: Epoch 215/9999, Iter 10700: Loss = 0.014712202362716198, lr = [0.0001] +[2024-05-15 23:18:04,552] - INFO: Epoch 215/9999, Iter 10720: Loss = 0.01660817489027977, lr = [0.0001] +[2024-05-15 23:18:22,289] - INFO: Epoch 215/9999, Iter 10740: Loss = 0.014597855508327484, lr = [0.0001] +[2024-05-15 23:18:30,211] - INFO: Evaluate at epoch 215! +[2024-05-15 23:18:33,787] - INFO: Eval PSNR (max): 37.213 (205) SSIM (max): 0.9577 (205) +[2024-05-15 23:18:33,787] - INFO: Eval PSNR (current): 37.071 (215) SSIM (current): 0.9575 (215) +[2024-05-15 23:18:33,787] - INFO: Evaluation over. +[2024-05-15 23:18:48,636] - INFO: Epoch 216/9999, Iter 10760: Loss = 0.012926927767693996, lr = [0.0001] +[2024-05-15 23:19:06,297] - INFO: Epoch 216/9999, Iter 10780: Loss = 0.016071701422333717, lr = [0.0001] +[2024-05-15 23:19:25,508] - INFO: Epoch 217/9999, Iter 10800: Loss = 0.014749626629054546, lr = [0.0001] +[2024-05-15 23:19:42,590] - INFO: Epoch 217/9999, Iter 10820: Loss = 0.012823098339140415, lr = [0.0001] +[2024-05-15 23:20:00,806] - INFO: Epoch 217/9999, Iter 10840: Loss = 0.013046055100858212, lr = [0.0001] +[2024-05-15 23:20:19,514] - INFO: Epoch 218/9999, Iter 10860: Loss = 0.0156294833868742, lr = [0.0001] +[2024-05-15 23:20:38,133] - INFO: Epoch 218/9999, Iter 10880: Loss = 0.014439081773161888, lr = [0.0001] +[2024-05-15 23:20:56,808] - INFO: Epoch 219/9999, Iter 10900: Loss = 0.013278482481837273, lr = [0.0001] +[2024-05-15 23:21:14,797] - INFO: Epoch 219/9999, Iter 10920: Loss = 0.013366224244236946, lr = [0.0001] +[2024-05-15 23:21:32,661] - INFO: Epoch 219/9999, Iter 10940: Loss = 0.01886880025267601, lr = [0.0001] +[2024-05-15 23:21:51,316] - INFO: Epoch 220/9999, Iter 10960: Loss = 0.012747437693178654, lr = [0.0001] +[2024-05-15 23:22:08,903] - INFO: Epoch 220/9999, Iter 10980: Loss = 0.013314646668732166, lr = [0.0001] +[2024-05-15 23:22:25,323] - INFO: Evaluate at epoch 220! +[2024-05-15 23:22:28,921] - INFO: Eval PSNR (max): 37.213 (205) SSIM (max): 0.9577 (205) +[2024-05-15 23:22:28,921] - INFO: Eval PSNR (current): 37.141 (220) SSIM (current): 0.9575 (220) +[2024-05-15 23:22:28,921] - INFO: Evaluation over. +[2024-05-15 23:22:34,969] - INFO: Epoch 221/9999, Iter 11000: Loss = 0.018015239387750626, lr = [0.0001] +[2024-05-15 23:22:52,209] - INFO: Epoch 221/9999, Iter 11020: Loss = 0.010237999260425568, lr = [0.0001] +[2024-05-15 23:23:10,040] - INFO: Epoch 221/9999, Iter 11040: Loss = 0.019841834902763367, lr = [0.0001] +[2024-05-15 23:23:29,737] - INFO: Epoch 222/9999, Iter 11060: Loss = 0.011980431154370308, lr = [0.0001] +[2024-05-15 23:23:47,993] - INFO: Epoch 222/9999, Iter 11080: Loss = 0.01759089156985283, lr = [0.0001] +[2024-05-15 23:24:06,873] - INFO: Epoch 223/9999, Iter 11100: Loss = 0.01775837317109108, lr = [0.0001] +[2024-05-15 23:24:23,969] - INFO: Epoch 223/9999, Iter 11120: Loss = 0.01435297541320324, lr = [0.0001] +[2024-05-15 23:24:42,362] - INFO: Epoch 223/9999, Iter 11140: Loss = 0.016958221793174744, lr = [0.0001] +[2024-05-15 23:25:01,353] - INFO: Epoch 224/9999, Iter 11160: Loss = 0.009475990198552608, lr = [0.0001] +[2024-05-15 23:25:19,407] - INFO: Epoch 224/9999, Iter 11180: Loss = 0.015386690385639668, lr = [0.0001] +[2024-05-15 23:25:38,633] - INFO: Epoch 225/9999, Iter 11200: Loss = 0.011774217709898949, lr = [0.0001] +[2024-05-15 23:25:55,872] - INFO: Epoch 225/9999, Iter 11220: Loss = 0.01776122860610485, lr = [0.0001] +[2024-05-15 23:26:13,028] - INFO: Epoch 225/9999, Iter 11240: Loss = 0.0191950760781765, lr = [0.0001] +[2024-05-15 23:26:20,885] - INFO: Evaluate at epoch 225! +[2024-05-15 23:26:24,580] - INFO: Eval PSNR (max): 37.213 (205) SSIM (max): 0.9577 (205) +[2024-05-15 23:26:24,580] - INFO: Eval PSNR (current): 36.985 (225) SSIM (current): 0.9573 (225) +[2024-05-15 23:26:24,580] - INFO: Evaluation over. +[2024-05-15 23:26:39,661] - INFO: Epoch 226/9999, Iter 11260: Loss = 0.009705724194645882, lr = [0.0001] +[2024-05-15 23:26:56,454] - INFO: Epoch 226/9999, Iter 11280: Loss = 0.018063580617308617, lr = [0.0001] +[2024-05-15 23:27:16,124] - INFO: Epoch 227/9999, Iter 11300: Loss = 0.011980436742305756, lr = [0.0001] +[2024-05-15 23:27:33,876] - INFO: Epoch 227/9999, Iter 11320: Loss = 0.011382249183952808, lr = [0.0001] +[2024-05-15 23:27:51,961] - INFO: Epoch 227/9999, Iter 11340: Loss = 0.024679409340023994, lr = [0.0001] +[2024-05-15 23:28:10,556] - INFO: Epoch 228/9999, Iter 11360: Loss = 0.012940251268446445, lr = [0.0001] +[2024-05-15 23:28:27,971] - INFO: Epoch 228/9999, Iter 11380: Loss = 0.02001328580081463, lr = [0.0001] +[2024-05-15 23:28:47,331] - INFO: Epoch 229/9999, Iter 11400: Loss = 0.011107586324214935, lr = [0.0001] +[2024-05-15 23:29:04,892] - INFO: Epoch 229/9999, Iter 11420: Loss = 0.016054246574640274, lr = [0.0001] +[2024-05-15 23:29:22,404] - INFO: Epoch 229/9999, Iter 11440: Loss = 0.009413325227797031, lr = [0.0001] +[2024-05-15 23:29:41,283] - INFO: Epoch 230/9999, Iter 11460: Loss = 0.01818300597369671, lr = [0.0001] +[2024-05-15 23:29:58,413] - INFO: Epoch 230/9999, Iter 11480: Loss = 0.023106932640075684, lr = [0.0001] +[2024-05-15 23:30:15,062] - INFO: Evaluate at epoch 230! +[2024-05-15 23:30:25,613] - INFO: Eval PSNR (max): 37.252 (230) SSIM (max): 0.9578 (230) +[2024-05-15 23:30:25,613] - INFO: Eval PSNR (current): 37.252 (230) SSIM (current): 0.9578 (230) +[2024-05-15 23:30:25,614] - INFO: Evaluation over. +[2024-05-15 23:30:31,772] - INFO: Epoch 231/9999, Iter 11500: Loss = 0.014446510002017021, lr = [0.0001] +[2024-05-15 23:30:49,824] - INFO: Epoch 231/9999, Iter 11520: Loss = 0.016147291287779808, lr = [0.0001] +[2024-05-15 23:31:06,654] - INFO: Epoch 231/9999, Iter 11540: Loss = 0.006967252120375633, lr = [0.0001] +[2024-05-15 23:31:25,976] - INFO: Epoch 232/9999, Iter 11560: Loss = 0.013353928923606873, lr = [0.0001] +[2024-05-15 23:31:43,944] - INFO: Epoch 232/9999, Iter 11580: Loss = 0.014949619770050049, lr = [0.0001] +[2024-05-15 23:32:02,817] - INFO: Epoch 233/9999, Iter 11600: Loss = 0.016896847635507584, lr = [0.0001] +[2024-05-15 23:32:20,806] - INFO: Epoch 233/9999, Iter 11620: Loss = 0.011902548372745514, lr = [0.0001] +[2024-05-15 23:32:39,084] - INFO: Epoch 233/9999, Iter 11640: Loss = 0.0118649797514081, lr = [0.0001] +[2024-05-15 23:32:57,620] - INFO: Epoch 234/9999, Iter 11660: Loss = 0.011535643599927425, lr = [0.0001] +[2024-05-15 23:33:15,362] - INFO: Epoch 234/9999, Iter 11680: Loss = 0.013628656975924969, lr = [0.0001] +[2024-05-15 23:33:34,382] - INFO: Epoch 235/9999, Iter 11700: Loss = 0.01503712311387062, lr = [0.0001] +[2024-05-15 23:33:52,899] - INFO: Epoch 235/9999, Iter 11720: Loss = 0.009653489105403423, lr = [0.0001] +[2024-05-15 23:34:10,333] - INFO: Epoch 235/9999, Iter 11740: Loss = 0.014410399831831455, lr = [0.0001] +[2024-05-15 23:34:17,953] - INFO: Evaluate at epoch 235! +[2024-05-15 23:34:25,261] - INFO: Eval PSNR (max): 37.258 (235) SSIM (max): 0.9578 (230) +[2024-05-15 23:34:25,262] - INFO: Eval PSNR (current): 37.258 (235) SSIM (current): 0.9576 (235) +[2024-05-15 23:34:25,262] - INFO: Evaluation over. +[2024-05-15 23:34:40,014] - INFO: Epoch 236/9999, Iter 11760: Loss = 0.0186172928661108, lr = [0.0001] +[2024-05-15 23:34:57,920] - INFO: Epoch 236/9999, Iter 11780: Loss = 0.0167324710637331, lr = [0.0001] +[2024-05-15 23:35:17,216] - INFO: Epoch 237/9999, Iter 11800: Loss = 0.012464494444429874, lr = [0.0001] +[2024-05-15 23:35:34,449] - INFO: Epoch 237/9999, Iter 11820: Loss = 0.015622900798916817, lr = [0.0001] +[2024-05-15 23:35:52,461] - INFO: Epoch 237/9999, Iter 11840: Loss = 0.014939980581402779, lr = [0.0001] +[2024-05-15 23:36:11,337] - INFO: Epoch 238/9999, Iter 11860: Loss = 0.013435756787657738, lr = [0.0001] +[2024-05-15 23:36:30,128] - INFO: Epoch 238/9999, Iter 11880: Loss = 0.021235238760709763, lr = [0.0001] +[2024-05-15 23:36:48,571] - INFO: Epoch 239/9999, Iter 11900: Loss = 0.01436067558825016, lr = [0.0001] +[2024-05-15 23:37:05,376] - INFO: Epoch 239/9999, Iter 11920: Loss = 0.014663267880678177, lr = [0.0001] +[2024-05-15 23:37:22,967] - INFO: Epoch 239/9999, Iter 11940: Loss = 0.011363311670720577, lr = [0.0001] +[2024-05-15 23:37:43,064] - INFO: Epoch 240/9999, Iter 11960: Loss = 0.01746656559407711, lr = [0.0001] +[2024-05-15 23:38:01,153] - INFO: Epoch 240/9999, Iter 11980: Loss = 0.014487842097878456, lr = [0.0001] +[2024-05-15 23:38:17,329] - INFO: Evaluate at epoch 240! +[2024-05-15 23:38:20,874] - INFO: Eval PSNR (max): 37.258 (235) SSIM (max): 0.9578 (230) +[2024-05-15 23:38:20,875] - INFO: Eval PSNR (current): 37.230 (240) SSIM (current): 0.9576 (240) +[2024-05-15 23:38:20,875] - INFO: Evaluation over. +[2024-05-15 23:38:26,818] - INFO: Epoch 241/9999, Iter 12000: Loss = 0.01160679291933775, lr = [0.0001] +[2024-05-15 23:38:44,784] - INFO: Epoch 241/9999, Iter 12020: Loss = 0.00808605458587408, lr = [0.0001] +[2024-05-15 23:39:03,275] - INFO: Epoch 241/9999, Iter 12040: Loss = 0.0170833021402359, lr = [0.0001] +[2024-05-15 23:39:22,282] - INFO: Epoch 242/9999, Iter 12060: Loss = 0.013141092844307423, lr = [0.0001] +[2024-05-15 23:39:40,579] - INFO: Epoch 242/9999, Iter 12080: Loss = 0.013728258199989796, lr = [0.0001] +[2024-05-15 23:39:59,800] - INFO: Epoch 243/9999, Iter 12100: Loss = 0.015249581076204777, lr = [0.0001] +[2024-05-15 23:40:17,816] - INFO: Epoch 243/9999, Iter 12120: Loss = 0.011412006802856922, lr = [0.0001] +[2024-05-15 23:40:34,863] - INFO: Epoch 243/9999, Iter 12140: Loss = 0.011999402195215225, lr = [0.0001] +[2024-05-15 23:40:53,783] - INFO: Epoch 244/9999, Iter 12160: Loss = 0.016144104301929474, lr = [0.0001] +[2024-05-15 23:41:11,840] - INFO: Epoch 244/9999, Iter 12180: Loss = 0.018263308331370354, lr = [0.0001] +[2024-05-15 23:41:30,610] - INFO: Epoch 245/9999, Iter 12200: Loss = 0.016951171681284904, lr = [0.0001] +[2024-05-15 23:41:48,004] - INFO: Epoch 245/9999, Iter 12220: Loss = 0.01085700374096632, lr = [0.0001] +[2024-05-15 23:42:05,456] - INFO: Epoch 245/9999, Iter 12240: Loss = 0.011012999340891838, lr = [0.0001] +[2024-05-15 23:42:13,917] - INFO: Evaluate at epoch 245! +[2024-05-15 23:42:17,519] - INFO: Eval PSNR (max): 37.258 (235) SSIM (max): 0.9578 (230) +[2024-05-15 23:42:17,520] - INFO: Eval PSNR (current): 37.211 (245) SSIM (current): 0.9577 (245) +[2024-05-15 23:42:17,520] - INFO: Evaluation over. +[2024-05-15 23:42:32,221] - INFO: Epoch 246/9999, Iter 12260: Loss = 0.012292155995965004, lr = [0.0001] +[2024-05-15 23:42:50,768] - INFO: Epoch 246/9999, Iter 12280: Loss = 0.017326880246400833, lr = [0.0001] +[2024-05-15 23:43:09,369] - INFO: Epoch 247/9999, Iter 12300: Loss = 0.018368853256106377, lr = [0.0001] +[2024-05-15 23:43:27,272] - INFO: Epoch 247/9999, Iter 12320: Loss = 0.02122311294078827, lr = [0.0001] +[2024-05-15 23:43:45,414] - INFO: Epoch 247/9999, Iter 12340: Loss = 0.014734183438122272, lr = [0.0001] +[2024-05-15 23:44:04,515] - INFO: Epoch 248/9999, Iter 12360: Loss = 0.012385522946715355, lr = [0.0001] +[2024-05-15 23:44:22,641] - INFO: Epoch 248/9999, Iter 12380: Loss = 0.014838212169706821, lr = [0.0001] +[2024-05-15 23:44:41,038] - INFO: Epoch 249/9999, Iter 12400: Loss = 0.017529191449284554, lr = [0.0001] +[2024-05-15 23:44:57,910] - INFO: Epoch 249/9999, Iter 12420: Loss = 0.01827402226626873, lr = [0.0001] +[2024-05-15 23:45:15,896] - INFO: Epoch 249/9999, Iter 12440: Loss = 0.011049442924559116, lr = [0.0001] +[2024-05-15 23:45:35,395] - INFO: Epoch 250/9999, Iter 12460: Loss = 0.019066346809267998, lr = [0.0001] +[2024-05-15 23:45:53,093] - INFO: Epoch 250/9999, Iter 12480: Loss = 0.016374193131923676, lr = [0.0001] +[2024-05-15 23:46:09,702] - INFO: Evaluate at epoch 250! +[2024-05-15 23:46:13,269] - INFO: Eval PSNR (max): 37.258 (235) SSIM (max): 0.9578 (230) +[2024-05-15 23:46:13,269] - INFO: Eval PSNR (current): 37.201 (250) SSIM (current): 0.9576 (250) +[2024-05-15 23:46:13,269] - INFO: Evaluation over. +[2024-05-15 23:46:19,248] - INFO: Epoch 251/9999, Iter 12500: Loss = 0.013246892020106316, lr = [0.0001] +[2024-05-15 23:46:37,556] - INFO: Epoch 251/9999, Iter 12520: Loss = 0.023273708298802376, lr = [0.0001] +[2024-05-15 23:46:55,889] - INFO: Epoch 251/9999, Iter 12540: Loss = 0.016831660643219948, lr = [0.0001] +[2024-05-15 23:47:14,064] - INFO: Epoch 252/9999, Iter 12560: Loss = 0.016199102625250816, lr = [0.0001] +[2024-05-15 23:47:31,304] - INFO: Epoch 252/9999, Iter 12580: Loss = 0.011952697299420834, lr = [0.0001] +[2024-05-15 23:47:50,451] - INFO: Epoch 253/9999, Iter 12600: Loss = 0.013340742327272892, lr = [0.0001] +[2024-05-15 23:48:08,200] - INFO: Epoch 253/9999, Iter 12620: Loss = 0.0135243721306324, lr = [0.0001] +[2024-05-15 23:48:25,774] - INFO: Epoch 253/9999, Iter 12640: Loss = 0.013703526929020882, lr = [0.0001] +[2024-05-15 23:48:44,764] - INFO: Epoch 254/9999, Iter 12660: Loss = 0.012850819155573845, lr = [0.0001] +[2024-05-15 23:49:03,061] - INFO: Epoch 254/9999, Iter 12680: Loss = 0.0209340900182724, lr = [0.0001] +[2024-05-15 23:49:21,915] - INFO: Epoch 255/9999, Iter 12700: Loss = 0.012690890580415726, lr = [0.0001] +[2024-05-15 23:49:39,498] - INFO: Epoch 255/9999, Iter 12720: Loss = 0.021083436906337738, lr = [0.0001] +[2024-05-15 23:49:57,982] - INFO: Epoch 255/9999, Iter 12740: Loss = 0.018318498507142067, lr = [0.0001] +[2024-05-15 23:50:05,278] - INFO: Evaluate at epoch 255! +[2024-05-15 23:50:12,369] - INFO: Eval PSNR (max): 37.258 (235) SSIM (max): 0.9579 (255) +[2024-05-15 23:50:12,369] - INFO: Eval PSNR (current): 37.125 (255) SSIM (current): 0.9579 (255) +[2024-05-15 23:50:12,369] - INFO: Evaluation over. +[2024-05-15 23:50:27,197] - INFO: Epoch 256/9999, Iter 12760: Loss = 0.015895357355475426, lr = [0.0001] +[2024-05-15 23:50:45,316] - INFO: Epoch 256/9999, Iter 12780: Loss = 0.018875112757086754, lr = [0.0001] +[2024-05-15 23:51:04,221] - INFO: Epoch 257/9999, Iter 12800: Loss = 0.02054329216480255, lr = [0.0001] +[2024-05-15 23:51:21,436] - INFO: Epoch 257/9999, Iter 12820: Loss = 0.01002933457493782, lr = [0.0001] +[2024-05-15 23:51:39,064] - INFO: Epoch 257/9999, Iter 12840: Loss = 0.011841018684208393, lr = [0.0001] +[2024-05-15 23:51:58,024] - INFO: Epoch 258/9999, Iter 12860: Loss = 0.022767145186662674, lr = [0.0001] +[2024-05-15 23:52:16,052] - INFO: Epoch 258/9999, Iter 12880: Loss = 0.02014397643506527, lr = [0.0001] +[2024-05-15 23:52:34,932] - INFO: Epoch 259/9999, Iter 12900: Loss = 0.02005772665143013, lr = [0.0001] +[2024-05-15 23:52:52,907] - INFO: Epoch 259/9999, Iter 12920: Loss = 0.014470409601926804, lr = [0.0001] +[2024-05-15 23:53:10,051] - INFO: Epoch 259/9999, Iter 12940: Loss = 0.013465218245983124, lr = [0.0001] +[2024-05-15 23:53:29,172] - INFO: Epoch 260/9999, Iter 12960: Loss = 0.01259833388030529, lr = [0.0001] +[2024-05-15 23:53:46,841] - INFO: Epoch 260/9999, Iter 12980: Loss = 0.013777337968349457, lr = [0.0001] +[2024-05-15 23:54:03,968] - INFO: Evaluate at epoch 260! +[2024-05-15 23:54:07,620] - INFO: Eval PSNR (max): 37.258 (235) SSIM (max): 0.9579 (255) +[2024-05-15 23:54:07,620] - INFO: Eval PSNR (current): 37.237 (260) SSIM (current): 0.9576 (260) +[2024-05-15 23:54:07,620] - INFO: Evaluation over. +[2024-05-15 23:54:13,648] - INFO: Epoch 261/9999, Iter 13000: Loss = 0.013291324488818645, lr = [0.0001] +[2024-05-15 23:54:32,312] - INFO: Epoch 261/9999, Iter 13020: Loss = 0.014262286014854908, lr = [0.0001] +[2024-05-15 23:54:50,136] - INFO: Epoch 261/9999, Iter 13040: Loss = 0.014114366844296455, lr = [0.0001] +[2024-05-15 23:55:09,156] - INFO: Epoch 262/9999, Iter 13060: Loss = 0.013839655555784702, lr = [0.0001] +[2024-05-15 23:55:26,089] - INFO: Epoch 262/9999, Iter 13080: Loss = 0.02248288132250309, lr = [0.0001] +[2024-05-15 23:55:45,303] - INFO: Epoch 263/9999, Iter 13100: Loss = 0.013179677538573742, lr = [0.0001] +[2024-05-15 23:56:03,216] - INFO: Epoch 263/9999, Iter 13120: Loss = 0.012883119285106659, lr = [0.0001] +[2024-05-15 23:56:21,029] - INFO: Epoch 263/9999, Iter 13140: Loss = 0.01460085529834032, lr = [0.0001] +[2024-05-15 23:56:39,876] - INFO: Epoch 264/9999, Iter 13160: Loss = 0.013953793793916702, lr = [0.0001] +[2024-05-15 23:56:57,180] - INFO: Epoch 264/9999, Iter 13180: Loss = 0.023520249873399734, lr = [0.0001] +[2024-05-15 23:57:16,443] - INFO: Epoch 265/9999, Iter 13200: Loss = 0.013120894320309162, lr = [0.0001] +[2024-05-15 23:57:33,696] - INFO: Epoch 265/9999, Iter 13220: Loss = 0.012853357940912247, lr = [0.0001] +[2024-05-15 23:57:50,785] - INFO: Epoch 265/9999, Iter 13240: Loss = 0.015074932016432285, lr = [0.0001] +[2024-05-15 23:57:58,501] - INFO: Evaluate at epoch 265! +[2024-05-15 23:58:05,608] - INFO: Eval PSNR (max): 37.282 (265) SSIM (max): 0.9579 (255) +[2024-05-15 23:58:05,609] - INFO: Eval PSNR (current): 37.282 (265) SSIM (current): 0.9578 (265) +[2024-05-15 23:58:05,609] - INFO: Evaluation over. +[2024-05-15 23:58:20,008] - INFO: Epoch 266/9999, Iter 13260: Loss = 0.007969281636178493, lr = [0.0001] +[2024-05-15 23:58:37,936] - INFO: Epoch 266/9999, Iter 13280: Loss = 0.012541580945253372, lr = [0.0001] +[2024-05-15 23:58:57,097] - INFO: Epoch 267/9999, Iter 13300: Loss = 0.010939591564238071, lr = [0.0001] +[2024-05-15 23:59:15,269] - INFO: Epoch 267/9999, Iter 13320: Loss = 0.013448501005768776, lr = [0.0001] +[2024-05-15 23:59:32,462] - INFO: Epoch 267/9999, Iter 13340: Loss = 0.013380134478211403, lr = [0.0001] +[2024-05-15 23:59:51,752] - INFO: Epoch 268/9999, Iter 13360: Loss = 0.013941541314125061, lr = [0.0001] +[2024-05-16 00:00:09,800] - INFO: Epoch 268/9999, Iter 13380: Loss = 0.014845190569758415, lr = [0.0001] +[2024-05-16 00:00:28,461] - INFO: Epoch 269/9999, Iter 13400: Loss = 0.011252216063439846, lr = [0.0001] +[2024-05-16 00:00:46,105] - INFO: Epoch 269/9999, Iter 13420: Loss = 0.011501156724989414, lr = [0.0001] +[2024-05-16 00:01:03,903] - INFO: Epoch 269/9999, Iter 13440: Loss = 0.014756646938621998, lr = [0.0001] +[2024-05-16 00:01:22,819] - INFO: Epoch 270/9999, Iter 13460: Loss = 0.01823793165385723, lr = [0.0001] +[2024-05-16 00:01:40,083] - INFO: Epoch 270/9999, Iter 13480: Loss = 0.015726113691926003, lr = [0.0001] +[2024-05-16 00:01:56,318] - INFO: Evaluate at epoch 270! +[2024-05-16 00:02:03,733] - INFO: Eval PSNR (max): 37.282 (265) SSIM (max): 0.9583 (270) +[2024-05-16 00:02:03,733] - INFO: Eval PSNR (current): 37.205 (270) SSIM (current): 0.9583 (270) +[2024-05-16 00:02:03,734] - INFO: Evaluation over. +[2024-05-16 00:02:09,760] - INFO: Epoch 271/9999, Iter 13500: Loss = 0.012094802223145962, lr = [0.0001] +[2024-05-16 00:02:28,212] - INFO: Epoch 271/9999, Iter 13520: Loss = 0.016620341688394547, lr = [0.0001] +[2024-05-16 00:02:45,652] - INFO: Epoch 271/9999, Iter 13540: Loss = 0.01625882275402546, lr = [0.0001] +[2024-05-16 00:03:03,912] - INFO: Epoch 272/9999, Iter 13560: Loss = 0.017355849966406822, lr = [0.0001] +[2024-05-16 00:03:21,372] - INFO: Epoch 272/9999, Iter 13580: Loss = 0.015190193429589272, lr = [0.0001] +[2024-05-16 00:03:40,276] - INFO: Epoch 273/9999, Iter 13600: Loss = 0.022815503180027008, lr = [0.0001] +[2024-05-16 00:03:58,424] - INFO: Epoch 273/9999, Iter 13620: Loss = 0.017202623188495636, lr = [0.0001] +[2024-05-16 00:04:16,256] - INFO: Epoch 273/9999, Iter 13640: Loss = 0.016114844009280205, lr = [0.0001] +[2024-05-16 00:04:34,659] - INFO: Epoch 274/9999, Iter 13660: Loss = 0.021991431713104248, lr = [0.0001] +[2024-05-16 00:04:52,747] - INFO: Epoch 274/9999, Iter 13680: Loss = 0.017905592918395996, lr = [0.0001] +[2024-05-16 00:05:11,900] - INFO: Epoch 275/9999, Iter 13700: Loss = 0.010605624876916409, lr = [0.0001] +[2024-05-16 00:05:29,565] - INFO: Epoch 275/9999, Iter 13720: Loss = 0.018842780962586403, lr = [0.0001] +[2024-05-16 00:05:47,724] - INFO: Epoch 275/9999, Iter 13740: Loss = 0.015052623115479946, lr = [0.0001] +[2024-05-16 00:05:55,304] - INFO: Evaluate at epoch 275! +[2024-05-16 00:05:58,857] - INFO: Eval PSNR (max): 37.282 (265) SSIM (max): 0.9583 (270) +[2024-05-16 00:05:58,858] - INFO: Eval PSNR (current): 37.098 (275) SSIM (current): 0.9577 (275) +[2024-05-16 00:05:58,858] - INFO: Evaluation over. +[2024-05-16 00:06:13,672] - INFO: Epoch 276/9999, Iter 13760: Loss = 0.01434748712927103, lr = [0.0001] +[2024-05-16 00:06:30,831] - INFO: Epoch 276/9999, Iter 13780: Loss = 0.008683732710778713, lr = [0.0001] +[2024-05-16 00:06:50,531] - INFO: Epoch 277/9999, Iter 13800: Loss = 0.013006513006985188, lr = [0.0001] +[2024-05-16 00:07:08,547] - INFO: Epoch 277/9999, Iter 13820: Loss = 0.011101089417934418, lr = [0.0001] +[2024-05-16 00:07:26,436] - INFO: Epoch 277/9999, Iter 13840: Loss = 0.013659183867275715, lr = [0.0001] +[2024-05-16 00:07:44,940] - INFO: Epoch 278/9999, Iter 13860: Loss = 0.016502955928444862, lr = [0.0001] +[2024-05-16 00:08:04,374] - INFO: Epoch 278/9999, Iter 13880: Loss = 0.019805559888482094, lr = [0.0001] +[2024-05-16 00:08:24,692] - INFO: Epoch 279/9999, Iter 13900: Loss = 0.014229129999876022, lr = [0.0001] +[2024-05-16 00:08:42,151] - INFO: Epoch 279/9999, Iter 13920: Loss = 0.017936404794454575, lr = [0.0001] +[2024-05-16 00:08:59,656] - INFO: Epoch 279/9999, Iter 13940: Loss = 0.013970745727419853, lr = [0.0001] +[2024-05-16 00:09:18,849] - INFO: Epoch 280/9999, Iter 13960: Loss = 0.027449043467640877, lr = [0.0001] +[2024-05-16 00:09:36,596] - INFO: Epoch 280/9999, Iter 13980: Loss = 0.019451864063739777, lr = [0.0001] +[2024-05-16 00:09:53,375] - INFO: Evaluate at epoch 280! +[2024-05-16 00:09:56,991] - INFO: Eval PSNR (max): 37.282 (265) SSIM (max): 0.9583 (270) +[2024-05-16 00:09:56,991] - INFO: Eval PSNR (current): 36.975 (280) SSIM (current): 0.9570 (280) +[2024-05-16 00:09:56,991] - INFO: Evaluation over. +[2024-05-16 00:10:02,888] - INFO: Epoch 281/9999, Iter 14000: Loss = 0.011960645206272602, lr = [0.0001] +[2024-05-16 00:10:21,116] - INFO: Epoch 281/9999, Iter 14020: Loss = 0.014531916938722134, lr = [0.0001] +[2024-05-16 00:10:38,856] - INFO: Epoch 281/9999, Iter 14040: Loss = 0.010253953747451305, lr = [0.0001] +[2024-05-16 00:10:57,720] - INFO: Epoch 282/9999, Iter 14060: Loss = 0.016339659690856934, lr = [0.0001] +[2024-05-16 00:11:15,191] - INFO: Epoch 282/9999, Iter 14080: Loss = 0.009926855564117432, lr = [0.0001] +[2024-05-16 00:11:34,453] - INFO: Epoch 283/9999, Iter 14100: Loss = 0.015446442179381847, lr = [0.0001] +[2024-05-16 00:11:51,568] - INFO: Epoch 283/9999, Iter 14120: Loss = 0.017610494047403336, lr = [0.0001] +[2024-05-16 00:12:08,901] - INFO: Epoch 283/9999, Iter 14140: Loss = 0.016125332564115524, lr = [0.0001] +[2024-05-16 00:12:28,390] - INFO: Epoch 284/9999, Iter 14160: Loss = 0.015380941331386566, lr = [0.0001] +[2024-05-16 00:12:46,405] - INFO: Epoch 284/9999, Iter 14180: Loss = 0.0168050155043602, lr = [0.0001] +[2024-05-16 00:13:05,068] - INFO: Epoch 285/9999, Iter 14200: Loss = 0.016673171892762184, lr = [0.0001] +[2024-05-16 00:13:21,868] - INFO: Epoch 285/9999, Iter 14220: Loss = 0.015277639962732792, lr = [0.0001] +[2024-05-16 00:13:39,168] - INFO: Epoch 285/9999, Iter 14240: Loss = 0.014175076968967915, lr = [0.0001] +[2024-05-16 00:13:46,998] - INFO: Evaluate at epoch 285! +[2024-05-16 00:13:50,694] - INFO: Eval PSNR (max): 37.282 (265) SSIM (max): 0.9583 (270) +[2024-05-16 00:13:50,694] - INFO: Eval PSNR (current): 37.259 (285) SSIM (current): 0.9582 (285) +[2024-05-16 00:13:50,694] - INFO: Evaluation over. +[2024-05-16 00:14:05,989] - INFO: Epoch 286/9999, Iter 14260: Loss = 0.020694265142083168, lr = [0.0001] +[2024-05-16 00:14:22,958] - INFO: Epoch 286/9999, Iter 14280: Loss = 0.01765882410109043, lr = [0.0001] +[2024-05-16 00:14:41,920] - INFO: Epoch 287/9999, Iter 14300: Loss = 0.009652034379541874, lr = [0.0001] +[2024-05-16 00:15:00,112] - INFO: Epoch 287/9999, Iter 14320: Loss = 0.019469568505883217, lr = [0.0001] +[2024-05-16 00:15:17,752] - INFO: Epoch 287/9999, Iter 14340: Loss = 0.010550363920629025, lr = [0.0001] +[2024-05-16 00:15:36,675] - INFO: Epoch 288/9999, Iter 14360: Loss = 0.01511092483997345, lr = [0.0001] +[2024-05-16 00:15:54,655] - INFO: Epoch 288/9999, Iter 14380: Loss = 0.015375673770904541, lr = [0.0001] +[2024-05-16 00:16:14,035] - INFO: Epoch 289/9999, Iter 14400: Loss = 0.008972827345132828, lr = [0.0001] +[2024-05-16 00:16:31,288] - INFO: Epoch 289/9999, Iter 14420: Loss = 0.014384143985807896, lr = [0.0001] +[2024-05-16 00:16:48,610] - INFO: Epoch 289/9999, Iter 14440: Loss = 0.010437539778649807, lr = [0.0001] +[2024-05-16 00:17:07,135] - INFO: Epoch 290/9999, Iter 14460: Loss = 0.013113534078001976, lr = [0.0001] +[2024-05-16 00:17:24,485] - INFO: Epoch 290/9999, Iter 14480: Loss = 0.01463052723556757, lr = [0.0001] +[2024-05-16 00:17:41,616] - INFO: Evaluate at epoch 290! +[2024-05-16 00:17:48,828] - INFO: Eval PSNR (max): 37.312 (290) SSIM (max): 0.9583 (270) +[2024-05-16 00:17:48,828] - INFO: Eval PSNR (current): 37.312 (290) SSIM (current): 0.9582 (290) +[2024-05-16 00:17:48,828] - INFO: Evaluation over. +[2024-05-16 00:17:54,597] - INFO: Epoch 291/9999, Iter 14500: Loss = 0.019907986745238304, lr = [0.0001] +[2024-05-16 00:18:11,496] - INFO: Epoch 291/9999, Iter 14520: Loss = 0.015160629525780678, lr = [0.0001] +[2024-05-16 00:18:29,352] - INFO: Epoch 291/9999, Iter 14540: Loss = 0.011149121448397636, lr = [0.0001] +[2024-05-16 00:18:48,821] - INFO: Epoch 292/9999, Iter 14560: Loss = 0.01192542165517807, lr = [0.0001] +[2024-05-16 00:19:06,248] - INFO: Epoch 292/9999, Iter 14580: Loss = 0.016220001503825188, lr = [0.0001] +[2024-05-16 00:19:25,349] - INFO: Epoch 293/9999, Iter 14600: Loss = 0.01244413387030363, lr = [0.0001] +[2024-05-16 00:19:42,938] - INFO: Epoch 293/9999, Iter 14620: Loss = 0.022636329755187035, lr = [0.0001] +[2024-05-16 00:20:01,045] - INFO: Epoch 293/9999, Iter 14640: Loss = 0.012800292111933231, lr = [0.0001] +[2024-05-16 00:20:19,736] - INFO: Epoch 294/9999, Iter 14660: Loss = 0.017260583117604256, lr = [0.0001] +[2024-05-16 00:20:37,788] - INFO: Epoch 294/9999, Iter 14680: Loss = 0.013016225770115852, lr = [0.0001] +[2024-05-16 00:20:56,815] - INFO: Epoch 295/9999, Iter 14700: Loss = 0.014751619659364223, lr = [0.0001] +[2024-05-16 00:21:14,397] - INFO: Epoch 295/9999, Iter 14720: Loss = 0.01448897272348404, lr = [0.0001] +[2024-05-16 00:21:32,116] - INFO: Epoch 295/9999, Iter 14740: Loss = 0.017064126208424568, lr = [0.0001] +[2024-05-16 00:21:39,749] - INFO: Evaluate at epoch 295! +[2024-05-16 00:21:43,330] - INFO: Eval PSNR (max): 37.312 (290) SSIM (max): 0.9583 (270) +[2024-05-16 00:21:43,330] - INFO: Eval PSNR (current): 37.220 (295) SSIM (current): 0.9583 (295) +[2024-05-16 00:21:43,331] - INFO: Evaluation over. +[2024-05-16 00:21:58,040] - INFO: Epoch 296/9999, Iter 14760: Loss = 0.012163070030510426, lr = [0.0001] +[2024-05-16 00:22:16,264] - INFO: Epoch 296/9999, Iter 14780: Loss = 0.011701943352818489, lr = [0.0001] +[2024-05-16 00:22:35,296] - INFO: Epoch 297/9999, Iter 14800: Loss = 0.01733836531639099, lr = [0.0001] +[2024-05-16 00:22:53,681] - INFO: Epoch 297/9999, Iter 14820: Loss = 0.018282033503055573, lr = [0.0001] +[2024-05-16 00:23:11,280] - INFO: Epoch 297/9999, Iter 14840: Loss = 0.013889224268496037, lr = [0.0001] +[2024-05-16 00:23:30,224] - INFO: Epoch 298/9999, Iter 14860: Loss = 0.015373531728982925, lr = [0.0001] +[2024-05-16 00:23:48,211] - INFO: Epoch 298/9999, Iter 14880: Loss = 0.015524337068200111, lr = [0.0001] +[2024-05-16 00:24:07,420] - INFO: Epoch 299/9999, Iter 14900: Loss = 0.013248641975224018, lr = [0.0001] +[2024-05-16 00:24:24,126] - INFO: Epoch 299/9999, Iter 14920: Loss = 0.012425479479134083, lr = [0.0001] +[2024-05-16 00:24:41,703] - INFO: Epoch 299/9999, Iter 14940: Loss = 0.01686801388859749, lr = [0.0001] +[2024-05-16 00:25:00,972] - INFO: Epoch 300/9999, Iter 14960: Loss = 0.00991373136639595, lr = [0.0001] +[2024-05-16 00:25:18,138] - INFO: Epoch 300/9999, Iter 14980: Loss = 0.011896566487848759, lr = [0.0001] +[2024-05-16 00:25:35,199] - INFO: Evaluate at epoch 300! +[2024-05-16 00:25:45,957] - INFO: Eval PSNR (max): 37.380 (300) SSIM (max): 0.9584 (300) +[2024-05-16 00:25:45,958] - INFO: Eval PSNR (current): 37.380 (300) SSIM (current): 0.9584 (300) +[2024-05-16 00:25:45,958] - INFO: Evaluation over. +[2024-05-16 00:25:51,928] - INFO: Epoch 301/9999, Iter 15000: Loss = 0.012012287974357605, lr = [0.0001] +[2024-05-16 00:26:09,992] - INFO: Epoch 301/9999, Iter 15020: Loss = 0.01580217480659485, lr = [0.0001] +[2024-05-16 00:26:28,464] - INFO: Epoch 301/9999, Iter 15040: Loss = 0.018384475260972977, lr = [0.0001] +[2024-05-16 00:26:46,858] - INFO: Epoch 302/9999, Iter 15060: Loss = 0.023166004568338394, lr = [0.0001] +[2024-05-16 00:27:04,661] - INFO: Epoch 302/9999, Iter 15080: Loss = 0.01491721160709858, lr = [0.0001] +[2024-05-16 00:27:23,332] - INFO: Epoch 303/9999, Iter 15100: Loss = 0.01147734560072422, lr = [0.0001] +[2024-05-16 00:27:41,024] - INFO: Epoch 303/9999, Iter 15120: Loss = 0.015866726636886597, lr = [0.0001] +[2024-05-16 00:27:58,487] - INFO: Epoch 303/9999, Iter 15140: Loss = 0.017944123595952988, lr = [0.0001] +[2024-05-16 00:28:17,329] - INFO: Epoch 304/9999, Iter 15160: Loss = 0.012833388522267342, lr = [0.0001] +[2024-05-16 00:28:35,185] - INFO: Epoch 304/9999, Iter 15180: Loss = 0.016037972643971443, lr = [0.0001] +[2024-05-16 00:28:54,201] - INFO: Epoch 305/9999, Iter 15200: Loss = 0.013147134333848953, lr = [0.0001] +[2024-05-16 00:29:11,685] - INFO: Epoch 305/9999, Iter 15220: Loss = 0.01154195424169302, lr = [0.0001] +[2024-05-16 00:29:29,203] - INFO: Epoch 305/9999, Iter 15240: Loss = 0.004234672989696264, lr = [0.0001] +[2024-05-16 00:29:36,983] - INFO: Evaluate at epoch 305! +[2024-05-16 00:29:40,546] - INFO: Eval PSNR (max): 37.380 (300) SSIM (max): 0.9584 (300) +[2024-05-16 00:29:40,546] - INFO: Eval PSNR (current): 37.137 (305) SSIM (current): 0.9577 (305) +[2024-05-16 00:29:40,546] - INFO: Evaluation over. +[2024-05-16 00:29:55,920] - INFO: Epoch 306/9999, Iter 15260: Loss = 0.013698707334697247, lr = [0.0001] +[2024-05-16 00:30:13,679] - INFO: Epoch 306/9999, Iter 15280: Loss = 0.014456639997661114, lr = [0.0001] +[2024-05-16 00:30:32,460] - INFO: Epoch 307/9999, Iter 15300: Loss = 0.01572689600288868, lr = [0.0001] +[2024-05-16 00:30:50,622] - INFO: Epoch 307/9999, Iter 15320: Loss = 0.014614694751799107, lr = [0.0001] +[2024-05-16 00:31:08,746] - INFO: Epoch 307/9999, Iter 15340: Loss = 0.016979394480586052, lr = [0.0001] +[2024-05-16 00:31:27,802] - INFO: Epoch 308/9999, Iter 15360: Loss = 0.009725856594741344, lr = [0.0001] +[2024-05-16 00:31:44,982] - INFO: Epoch 308/9999, Iter 15380: Loss = 0.014412001706659794, lr = [0.0001] +[2024-05-16 00:32:04,164] - INFO: Epoch 309/9999, Iter 15400: Loss = 0.013031726703047752, lr = [0.0001] +[2024-05-16 00:32:21,797] - INFO: Epoch 309/9999, Iter 15420: Loss = 0.015031162649393082, lr = [0.0001] +[2024-05-16 00:32:39,176] - INFO: Epoch 309/9999, Iter 15440: Loss = 0.017807025462388992, lr = [0.0001] +[2024-05-16 00:32:57,883] - INFO: Epoch 310/9999, Iter 15460: Loss = 0.01634822227060795, lr = [0.0001] +[2024-05-16 00:33:16,462] - INFO: Epoch 310/9999, Iter 15480: Loss = 0.019268786534667015, lr = [0.0001] +[2024-05-16 00:33:33,037] - INFO: Evaluate at epoch 310! +[2024-05-16 00:33:40,140] - INFO: Eval PSNR (max): 37.380 (300) SSIM (max): 0.9584 (310) +[2024-05-16 00:33:40,141] - INFO: Eval PSNR (current): 37.364 (310) SSIM (current): 0.9584 (310) +[2024-05-16 00:33:40,141] - INFO: Evaluation over. +[2024-05-16 00:33:45,896] - INFO: Epoch 311/9999, Iter 15500: Loss = 0.014501560479402542, lr = [0.0001] +[2024-05-16 00:34:03,819] - INFO: Epoch 311/9999, Iter 15520: Loss = 0.015015642158687115, lr = [0.0001] +[2024-05-16 00:34:22,106] - INFO: Epoch 311/9999, Iter 15540: Loss = 0.010282707400619984, lr = [0.0001] +[2024-05-16 00:34:41,077] - INFO: Epoch 312/9999, Iter 15560: Loss = 0.01756826974451542, lr = [0.0001] +[2024-05-16 00:34:57,540] - INFO: Epoch 312/9999, Iter 15580: Loss = 0.014269279316067696, lr = [0.0001] +[2024-05-16 00:35:16,960] - INFO: Epoch 313/9999, Iter 15600: Loss = 0.008804215118288994, lr = [0.0001] +[2024-05-16 00:35:35,272] - INFO: Epoch 313/9999, Iter 15620: Loss = 0.017604989930987358, lr = [0.0001] +[2024-05-16 00:35:52,779] - INFO: Epoch 313/9999, Iter 15640: Loss = 0.023209456354379654, lr = [0.0001] +[2024-05-16 00:36:11,235] - INFO: Epoch 314/9999, Iter 15660: Loss = 0.02050318941473961, lr = [0.0001] +[2024-05-16 00:36:28,715] - INFO: Epoch 314/9999, Iter 15680: Loss = 0.014430158771574497, lr = [0.0001] +[2024-05-16 00:36:48,323] - INFO: Epoch 315/9999, Iter 15700: Loss = 0.011164003051817417, lr = [0.0001] +[2024-05-16 00:37:05,392] - INFO: Epoch 315/9999, Iter 15720: Loss = 0.013797769322991371, lr = [0.0001] +[2024-05-16 00:37:22,571] - INFO: Epoch 315/9999, Iter 15740: Loss = 0.01901666820049286, lr = [0.0001] +[2024-05-16 00:37:30,943] - INFO: Evaluate at epoch 315! +[2024-05-16 00:37:34,609] - INFO: Eval PSNR (max): 37.380 (300) SSIM (max): 0.9584 (310) +[2024-05-16 00:37:34,609] - INFO: Eval PSNR (current): 37.331 (315) SSIM (current): 0.9583 (315) +[2024-05-16 00:37:34,609] - INFO: Evaluation over. +[2024-05-16 00:37:49,579] - INFO: Epoch 316/9999, Iter 15760: Loss = 0.013561591506004333, lr = [0.0001] +[2024-05-16 00:38:07,801] - INFO: Epoch 316/9999, Iter 15780: Loss = 0.016515016555786133, lr = [0.0001] +[2024-05-16 00:38:27,084] - INFO: Epoch 317/9999, Iter 15800: Loss = 0.01561189815402031, lr = [0.0001] +[2024-05-16 00:38:44,696] - INFO: Epoch 317/9999, Iter 15820: Loss = 0.010542136617004871, lr = [0.0001] +[2024-05-16 00:39:01,888] - INFO: Epoch 317/9999, Iter 15840: Loss = 0.012312359176576138, lr = [0.0001] +[2024-05-16 00:39:20,854] - INFO: Epoch 318/9999, Iter 15860: Loss = 0.013581886887550354, lr = [0.0001] +[2024-05-16 00:39:39,305] - INFO: Epoch 318/9999, Iter 15880: Loss = 0.01718594878911972, lr = [0.0001] +[2024-05-16 00:39:58,079] - INFO: Epoch 319/9999, Iter 15900: Loss = 0.009742094203829765, lr = [0.0001] +[2024-05-16 00:40:15,746] - INFO: Epoch 319/9999, Iter 15920: Loss = 0.013685782440006733, lr = [0.0001] +[2024-05-16 00:40:34,019] - INFO: Epoch 319/9999, Iter 15940: Loss = 0.01759571209549904, lr = [0.0001] +[2024-05-16 00:40:53,580] - INFO: Epoch 320/9999, Iter 15960: Loss = 0.01439288817346096, lr = [0.0001] +[2024-05-16 00:41:11,392] - INFO: Epoch 320/9999, Iter 15980: Loss = 0.011088946834206581, lr = [0.0001] +[2024-05-16 00:41:28,377] - INFO: Evaluate at epoch 320! +[2024-05-16 00:41:32,068] - INFO: Eval PSNR (max): 37.380 (300) SSIM (max): 0.9584 (310) +[2024-05-16 00:41:32,069] - INFO: Eval PSNR (current): 37.108 (320) SSIM (current): 0.9578 (320) +[2024-05-16 00:41:32,069] - INFO: Evaluation over. +[2024-05-16 00:41:37,937] - INFO: Epoch 321/9999, Iter 16000: Loss = 0.019832411780953407, lr = [0.0001] +[2024-05-16 00:41:55,620] - INFO: Epoch 321/9999, Iter 16020: Loss = 0.01575910672545433, lr = [0.0001] +[2024-05-16 00:42:14,028] - INFO: Epoch 321/9999, Iter 16040: Loss = 0.017141835764050484, lr = [0.0001] +[2024-05-16 00:42:32,524] - INFO: Epoch 322/9999, Iter 16060: Loss = 0.012173712253570557, lr = [0.0001] +[2024-05-16 00:42:49,496] - INFO: Epoch 322/9999, Iter 16080: Loss = 0.0158101636916399, lr = [0.0001] +[2024-05-16 00:43:08,561] - INFO: Epoch 323/9999, Iter 16100: Loss = 0.01725803129374981, lr = [0.0001] +[2024-05-16 00:43:26,043] - INFO: Epoch 323/9999, Iter 16120: Loss = 0.015564671717584133, lr = [0.0001] +[2024-05-16 00:43:44,396] - INFO: Epoch 323/9999, Iter 16140: Loss = 0.015901507809758186, lr = [0.0001] +[2024-05-16 00:44:03,409] - INFO: Epoch 324/9999, Iter 16160: Loss = 0.02020779810845852, lr = [0.0001] +[2024-05-16 00:44:21,384] - INFO: Epoch 324/9999, Iter 16180: Loss = 0.01227276399731636, lr = [0.0001] +[2024-05-16 00:44:40,273] - INFO: Epoch 325/9999, Iter 16200: Loss = 0.012121503241360188, lr = [0.0001] +[2024-05-16 00:44:56,944] - INFO: Epoch 325/9999, Iter 16220: Loss = 0.014052706770598888, lr = [0.0001] +[2024-05-16 00:45:15,484] - INFO: Epoch 325/9999, Iter 16240: Loss = 0.02082071639597416, lr = [0.0001] +[2024-05-16 00:45:22,998] - INFO: Evaluate at epoch 325! +[2024-05-16 00:45:33,679] - INFO: Eval PSNR (max): 37.381 (325) SSIM (max): 0.9584 (325) +[2024-05-16 00:45:33,680] - INFO: Eval PSNR (current): 37.381 (325) SSIM (current): 0.9584 (325) +[2024-05-16 00:45:33,680] - INFO: Evaluation over. +[2024-05-16 00:45:48,587] - INFO: Epoch 326/9999, Iter 16260: Loss = 0.01557424571365118, lr = [0.0001] +[2024-05-16 00:46:06,541] - INFO: Epoch 326/9999, Iter 16280: Loss = 0.013162103481590748, lr = [0.0001] +[2024-05-16 00:46:25,580] - INFO: Epoch 327/9999, Iter 16300: Loss = 0.01777280867099762, lr = [0.0001] +[2024-05-16 00:46:42,844] - INFO: Epoch 327/9999, Iter 16320: Loss = 0.009668217971920967, lr = [0.0001] +[2024-05-16 00:47:00,108] - INFO: Epoch 327/9999, Iter 16340: Loss = 0.02217748388648033, lr = [0.0001] +[2024-05-16 00:47:19,356] - INFO: Epoch 328/9999, Iter 16360: Loss = 0.013786857016384602, lr = [0.0001] +[2024-05-16 00:47:37,731] - INFO: Epoch 328/9999, Iter 16380: Loss = 0.012212066911160946, lr = [0.0001] +[2024-05-16 00:47:56,636] - INFO: Epoch 329/9999, Iter 16400: Loss = 0.012594024650752544, lr = [0.0001] +[2024-05-16 00:48:13,844] - INFO: Epoch 329/9999, Iter 16420: Loss = 0.016777576878666878, lr = [0.0001] +[2024-05-16 00:48:31,152] - INFO: Epoch 329/9999, Iter 16440: Loss = 0.014384583570063114, lr = [0.0001] +[2024-05-16 00:48:50,164] - INFO: Epoch 330/9999, Iter 16460: Loss = 0.01488595362752676, lr = [0.0001] +[2024-05-16 00:49:07,261] - INFO: Epoch 330/9999, Iter 16480: Loss = 0.011132312007248402, lr = [0.0001] +[2024-05-16 00:49:23,569] - INFO: Evaluate at epoch 330! +[2024-05-16 00:49:34,476] - INFO: Eval PSNR (max): 37.402 (330) SSIM (max): 0.9587 (330) +[2024-05-16 00:49:34,477] - INFO: Eval PSNR (current): 37.402 (330) SSIM (current): 0.9587 (330) +[2024-05-16 00:49:34,477] - INFO: Evaluation over. +[2024-05-16 00:49:40,404] - INFO: Epoch 331/9999, Iter 16500: Loss = 0.016684483736753464, lr = [0.0001] +[2024-05-16 00:49:58,591] - INFO: Epoch 331/9999, Iter 16520: Loss = 0.013439987786114216, lr = [0.0001] +[2024-05-16 00:50:16,759] - INFO: Epoch 331/9999, Iter 16540: Loss = 0.015333031304180622, lr = [0.0001] +[2024-05-16 00:50:35,712] - INFO: Epoch 332/9999, Iter 16560: Loss = 0.014731578528881073, lr = [0.0001] +[2024-05-16 00:50:53,511] - INFO: Epoch 332/9999, Iter 16580: Loss = 0.013955913484096527, lr = [0.0001] +[2024-05-16 00:51:12,224] - INFO: Epoch 333/9999, Iter 16600: Loss = 0.012315230444073677, lr = [0.0001] +[2024-05-16 00:51:30,020] - INFO: Epoch 333/9999, Iter 16620: Loss = 0.017117895185947418, lr = [0.0001] +[2024-05-16 00:51:47,528] - INFO: Epoch 333/9999, Iter 16640: Loss = 0.014118875376880169, lr = [0.0001] +[2024-05-16 00:52:06,639] - INFO: Epoch 334/9999, Iter 16660: Loss = 0.01979236863553524, lr = [0.0001] +[2024-05-16 00:52:24,448] - INFO: Epoch 334/9999, Iter 16680: Loss = 0.010717906057834625, lr = [0.0001] +[2024-05-16 00:52:43,408] - INFO: Epoch 335/9999, Iter 16700: Loss = 0.02415282465517521, lr = [0.0001] +[2024-05-16 00:53:01,623] - INFO: Epoch 335/9999, Iter 16720: Loss = 0.017861273139715195, lr = [0.0001] +[2024-05-16 00:53:19,810] - INFO: Epoch 335/9999, Iter 16740: Loss = 0.014857912436127663, lr = [0.0001] +[2024-05-16 00:53:27,279] - INFO: Evaluate at epoch 335! +[2024-05-16 00:53:30,730] - INFO: Eval PSNR (max): 37.402 (330) SSIM (max): 0.9587 (330) +[2024-05-16 00:53:30,730] - INFO: Eval PSNR (current): 37.346 (335) SSIM (current): 0.9585 (335) +[2024-05-16 00:53:30,731] - INFO: Evaluation over. +[2024-05-16 00:53:44,880] - INFO: Epoch 336/9999, Iter 16760: Loss = 0.017962241545319557, lr = [0.0001] +[2024-05-16 00:54:02,093] - INFO: Epoch 336/9999, Iter 16780: Loss = 0.016571396961808205, lr = [0.0001] +[2024-05-16 00:54:20,425] - INFO: Epoch 337/9999, Iter 16800: Loss = 0.016433443874120712, lr = [0.0001] +[2024-05-16 00:54:38,528] - INFO: Epoch 337/9999, Iter 16820: Loss = 0.01123969629406929, lr = [0.0001] +[2024-05-16 00:54:56,704] - INFO: Epoch 337/9999, Iter 16840: Loss = 0.008986088447272778, lr = [0.0001] +[2024-05-16 00:55:15,999] - INFO: Epoch 338/9999, Iter 16860: Loss = 0.013344941660761833, lr = [0.0001] +[2024-05-16 00:55:33,797] - INFO: Epoch 338/9999, Iter 16880: Loss = 0.016752228140830994, lr = [0.0001] +[2024-05-16 00:55:52,710] - INFO: Epoch 339/9999, Iter 16900: Loss = 0.015468310564756393, lr = [0.0001] +[2024-05-16 00:56:10,570] - INFO: Epoch 339/9999, Iter 16920: Loss = 0.016023216769099236, lr = [0.0001] +[2024-05-16 00:56:28,764] - INFO: Epoch 339/9999, Iter 16940: Loss = 0.010424284264445305, lr = [0.0001] +[2024-05-16 00:56:47,790] - INFO: Epoch 340/9999, Iter 16960: Loss = 0.010289806872606277, lr = [0.0001] +[2024-05-16 00:57:05,052] - INFO: Epoch 340/9999, Iter 16980: Loss = 0.012070213444530964, lr = [0.0001] +[2024-05-16 00:57:22,043] - INFO: Evaluate at epoch 340! +[2024-05-16 00:57:32,752] - INFO: Eval PSNR (max): 37.441 (340) SSIM (max): 0.9588 (340) +[2024-05-16 00:57:32,752] - INFO: Eval PSNR (current): 37.441 (340) SSIM (current): 0.9588 (340) +[2024-05-16 00:57:32,753] - INFO: Evaluation over. +[2024-05-16 00:57:38,963] - INFO: Epoch 341/9999, Iter 17000: Loss = 0.021899783983826637, lr = [0.0001] +[2024-05-16 00:57:56,581] - INFO: Epoch 341/9999, Iter 17020: Loss = 0.014875403605401516, lr = [0.0001] +[2024-05-16 00:58:14,981] - INFO: Epoch 341/9999, Iter 17040: Loss = 0.014059851877391338, lr = [0.0001] +[2024-05-16 00:58:34,180] - INFO: Epoch 342/9999, Iter 17060: Loss = 0.020128240808844566, lr = [0.0001] +[2024-05-16 00:58:52,029] - INFO: Epoch 342/9999, Iter 17080: Loss = 0.016800647601485252, lr = [0.0001] +[2024-05-16 00:59:11,024] - INFO: Epoch 343/9999, Iter 17100: Loss = 0.015220167115330696, lr = [0.0001] +[2024-05-16 00:59:28,606] - INFO: Epoch 343/9999, Iter 17120: Loss = 0.011997264809906483, lr = [0.0001] +[2024-05-16 00:59:45,848] - INFO: Epoch 343/9999, Iter 17140: Loss = 0.012170694768428802, lr = [0.0001] +[2024-05-16 01:00:05,491] - INFO: Epoch 344/9999, Iter 17160: Loss = 0.013784993439912796, lr = [0.0001] +[2024-05-16 01:00:22,880] - INFO: Epoch 344/9999, Iter 17180: Loss = 0.014001108705997467, lr = [0.0001] +[2024-05-16 01:00:41,851] - INFO: Epoch 345/9999, Iter 17200: Loss = 0.014410005882382393, lr = [0.0001] +[2024-05-16 01:00:59,233] - INFO: Epoch 345/9999, Iter 17220: Loss = 0.01853969134390354, lr = [0.0001] +[2024-05-16 01:01:16,288] - INFO: Epoch 345/9999, Iter 17240: Loss = 0.015992939472198486, lr = [0.0001] +[2024-05-16 01:01:24,230] - INFO: Evaluate at epoch 345! +[2024-05-16 01:01:27,764] - INFO: Eval PSNR (max): 37.441 (340) SSIM (max): 0.9588 (340) +[2024-05-16 01:01:27,765] - INFO: Eval PSNR (current): 37.408 (345) SSIM (current): 0.9584 (345) +[2024-05-16 01:01:27,765] - INFO: Evaluation over. +[2024-05-16 01:01:42,824] - INFO: Epoch 346/9999, Iter 17260: Loss = 0.012905769981443882, lr = [0.0001] +[2024-05-16 01:02:00,736] - INFO: Epoch 346/9999, Iter 17280: Loss = 0.010600012727081776, lr = [0.0001] +[2024-05-16 01:02:20,141] - INFO: Epoch 347/9999, Iter 17300: Loss = 0.016152046620845795, lr = [0.0001] +[2024-05-16 01:02:37,798] - INFO: Epoch 347/9999, Iter 17320: Loss = 0.01466203760355711, lr = [0.0001] +[2024-05-16 01:02:55,912] - INFO: Epoch 347/9999, Iter 17340: Loss = 0.012736557051539421, lr = [0.0001] +[2024-05-16 01:03:15,046] - INFO: Epoch 348/9999, Iter 17360: Loss = 0.010457110591232777, lr = [0.0001] +[2024-05-16 01:03:33,099] - INFO: Epoch 348/9999, Iter 17380: Loss = 0.010019843466579914, lr = [0.0001] +[2024-05-16 01:03:52,164] - INFO: Epoch 349/9999, Iter 17400: Loss = 0.012400496751070023, lr = [0.0001] +[2024-05-16 01:04:10,814] - INFO: Epoch 349/9999, Iter 17420: Loss = 0.018363652750849724, lr = [0.0001] +[2024-05-16 01:04:28,690] - INFO: Epoch 349/9999, Iter 17440: Loss = 0.012874161824584007, lr = [0.0001] +[2024-05-16 01:04:47,937] - INFO: Epoch 350/9999, Iter 17460: Loss = 0.01601499691605568, lr = [0.0001] +[2024-05-16 01:05:05,932] - INFO: Epoch 350/9999, Iter 17480: Loss = 0.016462521627545357, lr = [0.0001] +[2024-05-16 01:05:22,377] - INFO: Evaluate at epoch 350! +[2024-05-16 01:05:25,885] - INFO: Eval PSNR (max): 37.441 (340) SSIM (max): 0.9588 (340) +[2024-05-16 01:05:25,886] - INFO: Eval PSNR (current): 37.376 (350) SSIM (current): 0.9582 (350) +[2024-05-16 01:05:25,886] - INFO: Evaluation over. +[2024-05-16 01:05:31,764] - INFO: Epoch 351/9999, Iter 17500: Loss = 0.01732369139790535, lr = [0.0001] +[2024-05-16 01:05:49,216] - INFO: Epoch 351/9999, Iter 17520: Loss = 0.012162798084318638, lr = [0.0001] +[2024-05-16 01:06:07,142] - INFO: Epoch 351/9999, Iter 17540: Loss = 0.014842195436358452, lr = [0.0001] +[2024-05-16 01:06:26,189] - INFO: Epoch 352/9999, Iter 17560: Loss = 0.008020646870136261, lr = [0.0001] +[2024-05-16 01:06:43,958] - INFO: Epoch 352/9999, Iter 17580: Loss = 0.013986123725771904, lr = [0.0001] +[2024-05-16 01:07:03,283] - INFO: Epoch 353/9999, Iter 17600: Loss = 0.018065795302391052, lr = [0.0001] +[2024-05-16 01:07:20,308] - INFO: Epoch 353/9999, Iter 17620: Loss = 0.022794509306550026, lr = [0.0001] +[2024-05-16 01:07:37,718] - INFO: Epoch 353/9999, Iter 17640: Loss = 0.008469648659229279, lr = [0.0001] +[2024-05-16 01:07:57,008] - INFO: Epoch 354/9999, Iter 17660: Loss = 0.0127485366538167, lr = [0.0001] +[2024-05-16 01:08:15,001] - INFO: Epoch 354/9999, Iter 17680: Loss = 0.013834123499691486, lr = [0.0001] +[2024-05-16 01:08:34,232] - INFO: Epoch 355/9999, Iter 17700: Loss = 0.01909691095352173, lr = [0.0001] +[2024-05-16 01:08:51,461] - INFO: Epoch 355/9999, Iter 17720: Loss = 0.018112296238541603, lr = [0.0001] +[2024-05-16 01:09:09,364] - INFO: Epoch 355/9999, Iter 17740: Loss = 0.015749121084809303, lr = [0.0001] +[2024-05-16 01:09:17,187] - INFO: Evaluate at epoch 355! +[2024-05-16 01:09:24,341] - INFO: Eval PSNR (max): 37.498 (355) SSIM (max): 0.9588 (340) +[2024-05-16 01:09:24,341] - INFO: Eval PSNR (current): 37.498 (355) SSIM (current): 0.9585 (355) +[2024-05-16 01:09:24,341] - INFO: Evaluation over. +[2024-05-16 01:09:39,725] - INFO: Epoch 356/9999, Iter 17760: Loss = 0.012012196704745293, lr = [0.0001] +[2024-05-16 01:09:57,775] - INFO: Epoch 356/9999, Iter 17780: Loss = 0.012703395448625088, lr = [0.0001] +[2024-05-16 01:10:16,981] - INFO: Epoch 357/9999, Iter 17800: Loss = 0.008608469739556313, lr = [0.0001] +[2024-05-16 01:10:34,104] - INFO: Epoch 357/9999, Iter 17820: Loss = 0.013139590620994568, lr = [0.0001] +[2024-05-16 01:10:51,449] - INFO: Epoch 357/9999, Iter 17840: Loss = 0.010837775655090809, lr = [0.0001] +[2024-05-16 01:11:10,972] - INFO: Epoch 358/9999, Iter 17860: Loss = 0.013352157548069954, lr = [0.0001] +[2024-05-16 01:11:28,764] - INFO: Epoch 358/9999, Iter 17880: Loss = 0.016702041029930115, lr = [0.0001] +[2024-05-16 01:11:47,664] - INFO: Epoch 359/9999, Iter 17900: Loss = 0.01905323937535286, lr = [0.0001] +[2024-05-16 01:12:04,783] - INFO: Epoch 359/9999, Iter 17920: Loss = 0.010997308418154716, lr = [0.0001] +[2024-05-16 01:12:23,209] - INFO: Epoch 359/9999, Iter 17940: Loss = 0.014883679337799549, lr = [0.0001] +[2024-05-16 01:12:41,877] - INFO: Epoch 360/9999, Iter 17960: Loss = 0.01729520596563816, lr = [0.0001] +[2024-05-16 01:13:00,360] - INFO: Epoch 360/9999, Iter 17980: Loss = 0.013457090593874454, lr = [0.0001] +[2024-05-16 01:13:16,876] - INFO: Evaluate at epoch 360! +[2024-05-16 01:13:24,048] - INFO: Eval PSNR (max): 37.516 (360) SSIM (max): 0.9588 (340) +[2024-05-16 01:13:24,048] - INFO: Eval PSNR (current): 37.516 (360) SSIM (current): 0.9588 (360) +[2024-05-16 01:13:24,049] - INFO: Evaluation over. +[2024-05-16 01:13:30,199] - INFO: Epoch 361/9999, Iter 18000: Loss = 0.01388508826494217, lr = [0.0001] +[2024-05-16 01:13:47,938] - INFO: Epoch 361/9999, Iter 18020: Loss = 0.020853698253631592, lr = [0.0001] +[2024-05-16 01:14:06,454] - INFO: Epoch 361/9999, Iter 18040: Loss = 0.015832507982850075, lr = [0.0001] +[2024-05-16 01:14:25,909] - INFO: Epoch 362/9999, Iter 18060: Loss = 0.013181067071855068, lr = [0.0001] +[2024-05-16 01:14:43,936] - INFO: Epoch 362/9999, Iter 18080: Loss = 0.012900853529572487, lr = [0.0001] +[2024-05-16 01:15:02,768] - INFO: Epoch 363/9999, Iter 18100: Loss = 0.007173249032348394, lr = [0.0001] +[2024-05-16 01:15:20,837] - INFO: Epoch 363/9999, Iter 18120: Loss = 0.013430804945528507, lr = [0.0001] +[2024-05-16 01:15:39,004] - INFO: Epoch 363/9999, Iter 18140: Loss = 0.015695491805672646, lr = [0.0001] +[2024-05-16 01:15:57,980] - INFO: Epoch 364/9999, Iter 18160: Loss = 0.011698274873197079, lr = [0.0001] +[2024-05-16 01:16:15,954] - INFO: Epoch 364/9999, Iter 18180: Loss = 0.013296103104948997, lr = [0.0001] +[2024-05-16 01:16:34,646] - INFO: Epoch 365/9999, Iter 18200: Loss = 0.010894493199884892, lr = [0.0001] +[2024-05-16 01:16:52,076] - INFO: Epoch 365/9999, Iter 18220: Loss = 0.015131811611354351, lr = [0.0001] +[2024-05-16 01:17:09,372] - INFO: Epoch 365/9999, Iter 18240: Loss = 0.011881295591592789, lr = [0.0001] +[2024-05-16 01:17:17,135] - INFO: Evaluate at epoch 365! +[2024-05-16 01:17:24,135] - INFO: Eval PSNR (max): 37.516 (360) SSIM (max): 0.9589 (365) +[2024-05-16 01:17:24,136] - INFO: Eval PSNR (current): 37.429 (365) SSIM (current): 0.9589 (365) +[2024-05-16 01:17:24,136] - INFO: Evaluation over. +[2024-05-16 01:17:39,461] - INFO: Epoch 366/9999, Iter 18260: Loss = 0.020266707986593246, lr = [0.0001] +[2024-05-16 01:17:57,216] - INFO: Epoch 366/9999, Iter 18280: Loss = 0.010174005292356014, lr = [0.0001] +[2024-05-16 01:18:15,788] - INFO: Epoch 367/9999, Iter 18300: Loss = 0.010867059230804443, lr = [0.0001] +[2024-05-16 01:18:33,642] - INFO: Epoch 367/9999, Iter 18320: Loss = 0.010499111376702785, lr = [0.0001] +[2024-05-16 01:18:51,260] - INFO: Epoch 367/9999, Iter 18340: Loss = 0.02191486395895481, lr = [0.0001] +[2024-05-16 01:19:09,844] - INFO: Epoch 368/9999, Iter 18360: Loss = 0.017099754884839058, lr = [0.0001] +[2024-05-16 01:19:27,052] - INFO: Epoch 368/9999, Iter 18380: Loss = 0.015602611005306244, lr = [0.0001] +[2024-05-16 01:19:46,413] - INFO: Epoch 369/9999, Iter 18400: Loss = 0.01231091096997261, lr = [0.0001] +[2024-05-16 01:20:04,240] - INFO: Epoch 369/9999, Iter 18420: Loss = 0.01322505809366703, lr = [0.0001] +[2024-05-16 01:20:21,947] - INFO: Epoch 369/9999, Iter 18440: Loss = 0.015228535048663616, lr = [0.0001] +[2024-05-16 01:20:41,434] - INFO: Epoch 370/9999, Iter 18460: Loss = 0.011190786026418209, lr = [0.0001] +[2024-05-16 01:20:59,702] - INFO: Epoch 370/9999, Iter 18480: Loss = 0.008834823966026306, lr = [0.0001] +[2024-05-16 01:21:16,123] - INFO: Evaluate at epoch 370! +[2024-05-16 01:21:19,611] - INFO: Eval PSNR (max): 37.516 (360) SSIM (max): 0.9589 (365) +[2024-05-16 01:21:19,611] - INFO: Eval PSNR (current): 37.248 (370) SSIM (current): 0.9582 (370) +[2024-05-16 01:21:19,611] - INFO: Evaluation over. +[2024-05-16 01:21:25,664] - INFO: Epoch 371/9999, Iter 18500: Loss = 0.01638101600110531, lr = [0.0001] +[2024-05-16 01:21:43,370] - INFO: Epoch 371/9999, Iter 18520: Loss = 0.011876297183334827, lr = [0.0001] +[2024-05-16 01:22:01,096] - INFO: Epoch 371/9999, Iter 18540: Loss = 0.012670264579355717, lr = [0.0001] +[2024-05-16 01:22:19,595] - INFO: Epoch 372/9999, Iter 18560: Loss = 0.018541568890213966, lr = [0.0001] +[2024-05-16 01:22:36,744] - INFO: Epoch 372/9999, Iter 18580: Loss = 0.014393609948456287, lr = [0.0001] +[2024-05-16 01:22:56,016] - INFO: Epoch 373/9999, Iter 18600: Loss = 0.016592219471931458, lr = [0.0001] +[2024-05-16 01:23:13,588] - INFO: Epoch 373/9999, Iter 18620: Loss = 0.019972098991274834, lr = [0.0001] +[2024-05-16 01:23:31,562] - INFO: Epoch 373/9999, Iter 18640: Loss = 0.013558108359575272, lr = [0.0001] +[2024-05-16 01:23:50,665] - INFO: Epoch 374/9999, Iter 18660: Loss = 0.01689230091869831, lr = [0.0001] +[2024-05-16 01:24:08,012] - INFO: Epoch 374/9999, Iter 18680: Loss = 0.015868183225393295, lr = [0.0001] +[2024-05-16 01:24:27,353] - INFO: Epoch 375/9999, Iter 18700: Loss = 0.01739783026278019, lr = [0.0001] +[2024-05-16 01:24:45,156] - INFO: Epoch 375/9999, Iter 18720: Loss = 0.01975824683904648, lr = [0.0001] +[2024-05-16 01:25:03,309] - INFO: Epoch 375/9999, Iter 18740: Loss = 0.014278610236942768, lr = [0.0001] +[2024-05-16 01:25:10,961] - INFO: Evaluate at epoch 375! +[2024-05-16 01:25:14,484] - INFO: Eval PSNR (max): 37.516 (360) SSIM (max): 0.9589 (365) +[2024-05-16 01:25:14,484] - INFO: Eval PSNR (current): 37.499 (375) SSIM (current): 0.9588 (375) +[2024-05-16 01:25:14,484] - INFO: Evaluation over. +[2024-05-16 01:25:29,899] - INFO: Epoch 376/9999, Iter 18760: Loss = 0.015292457304894924, lr = [0.0001] +[2024-05-16 01:25:46,889] - INFO: Epoch 376/9999, Iter 18780: Loss = 0.01935100182890892, lr = [0.0001] +[2024-05-16 01:26:06,248] - INFO: Epoch 377/9999, Iter 18800: Loss = 0.01678546890616417, lr = [0.0001] +[2024-05-16 01:26:23,391] - INFO: Epoch 377/9999, Iter 18820: Loss = 0.013537991791963577, lr = [0.0001] +[2024-05-16 01:26:41,445] - INFO: Epoch 377/9999, Iter 18840: Loss = 0.008940799161791801, lr = [0.0001] +[2024-05-16 01:27:01,083] - INFO: Epoch 378/9999, Iter 18860: Loss = 0.014888853766024113, lr = [0.0001] +[2024-05-16 01:27:18,415] - INFO: Epoch 378/9999, Iter 18880: Loss = 0.011894959956407547, lr = [0.0001] +[2024-05-16 01:27:37,250] - INFO: Epoch 379/9999, Iter 18900: Loss = 0.014672193676233292, lr = [0.0001] +[2024-05-16 01:27:55,161] - INFO: Epoch 379/9999, Iter 18920: Loss = 0.013871402479708195, lr = [0.0001] +[2024-05-16 01:28:13,084] - INFO: Epoch 379/9999, Iter 18940: Loss = 0.011672710068523884, lr = [0.0001] +[2024-05-16 01:28:31,556] - INFO: Epoch 380/9999, Iter 18960: Loss = 0.01998487301170826, lr = [0.0001] +[2024-05-16 01:28:48,548] - INFO: Epoch 380/9999, Iter 18980: Loss = 0.0072034201584756374, lr = [0.0001] +[2024-05-16 01:29:05,935] - INFO: Evaluate at epoch 380! +[2024-05-16 01:29:13,075] - INFO: Eval PSNR (max): 37.544 (380) SSIM (max): 0.9589 (365) +[2024-05-16 01:29:13,075] - INFO: Eval PSNR (current): 37.544 (380) SSIM (current): 0.9588 (380) +[2024-05-16 01:29:13,076] - INFO: Evaluation over. +[2024-05-16 01:29:19,010] - INFO: Epoch 381/9999, Iter 19000: Loss = 0.017861798405647278, lr = [0.0001] +[2024-05-16 01:29:37,397] - INFO: Epoch 381/9999, Iter 19020: Loss = 0.011365436017513275, lr = [0.0001] +[2024-05-16 01:29:55,233] - INFO: Epoch 381/9999, Iter 19040: Loss = 0.01258115191012621, lr = [0.0001] +[2024-05-16 01:30:13,785] - INFO: Epoch 382/9999, Iter 19060: Loss = 0.012566772289574146, lr = [0.0001] +[2024-05-16 01:30:30,798] - INFO: Epoch 382/9999, Iter 19080: Loss = 0.01330480631440878, lr = [0.0001] +[2024-05-16 01:30:50,024] - INFO: Epoch 383/9999, Iter 19100: Loss = 0.0167082566767931, lr = [0.0001] +[2024-05-16 01:31:07,536] - INFO: Epoch 383/9999, Iter 19120: Loss = 0.011578107252717018, lr = [0.0001] +[2024-05-16 01:31:25,343] - INFO: Epoch 383/9999, Iter 19140: Loss = 0.012977350503206253, lr = [0.0001] +[2024-05-16 01:31:44,360] - INFO: Epoch 384/9999, Iter 19160: Loss = 0.0158973541110754, lr = [0.0001] +[2024-05-16 01:32:01,524] - INFO: Epoch 384/9999, Iter 19180: Loss = 0.01334223710000515, lr = [0.0001] +[2024-05-16 01:32:20,641] - INFO: Epoch 385/9999, Iter 19200: Loss = 0.014799237251281738, lr = [0.0001] +[2024-05-16 01:32:37,773] - INFO: Epoch 385/9999, Iter 19220: Loss = 0.016441738232970238, lr = [0.0001] +[2024-05-16 01:32:55,708] - INFO: Epoch 385/9999, Iter 19240: Loss = 0.017116304486989975, lr = [0.0001] +[2024-05-16 01:33:03,368] - INFO: Evaluate at epoch 385! +[2024-05-16 01:33:10,549] - INFO: Eval PSNR (max): 37.544 (380) SSIM (max): 0.9591 (385) +[2024-05-16 01:33:10,549] - INFO: Eval PSNR (current): 37.541 (385) SSIM (current): 0.9591 (385) +[2024-05-16 01:33:10,549] - INFO: Evaluation over. +[2024-05-16 01:33:25,542] - INFO: Epoch 386/9999, Iter 19260: Loss = 0.01400124840438366, lr = [0.0001] +[2024-05-16 01:33:43,245] - INFO: Epoch 386/9999, Iter 19280: Loss = 0.018313270062208176, lr = [0.0001] +[2024-05-16 01:34:02,912] - INFO: Epoch 387/9999, Iter 19300: Loss = 0.01750262640416622, lr = [0.0001] +[2024-05-16 01:34:19,668] - INFO: Epoch 387/9999, Iter 19320: Loss = 0.02087976783514023, lr = [0.0001] +[2024-05-16 01:34:37,386] - INFO: Epoch 387/9999, Iter 19340: Loss = 0.01672389730811119, lr = [0.0001] +[2024-05-16 01:34:57,447] - INFO: Epoch 388/9999, Iter 19360: Loss = 0.014462292194366455, lr = [0.0001] +[2024-05-16 01:35:14,856] - INFO: Epoch 388/9999, Iter 19380: Loss = 0.008286572061479092, lr = [0.0001] +[2024-05-16 01:35:34,152] - INFO: Epoch 389/9999, Iter 19400: Loss = 0.015909189358353615, lr = [0.0001] +[2024-05-16 01:35:52,419] - INFO: Epoch 389/9999, Iter 19420: Loss = 0.013228565454483032, lr = [0.0001] +[2024-05-16 01:36:10,259] - INFO: Epoch 389/9999, Iter 19440: Loss = 0.015753790736198425, lr = [0.0001] +[2024-05-16 01:36:29,743] - INFO: Epoch 390/9999, Iter 19460: Loss = 0.014333517290651798, lr = [0.0001] +[2024-05-16 01:36:48,065] - INFO: Epoch 390/9999, Iter 19480: Loss = 0.01441137958317995, lr = [0.0001] +[2024-05-16 01:37:04,319] - INFO: Evaluate at epoch 390! +[2024-05-16 01:37:07,916] - INFO: Eval PSNR (max): 37.544 (380) SSIM (max): 0.9591 (385) +[2024-05-16 01:37:07,917] - INFO: Eval PSNR (current): 36.626 (390) SSIM (current): 0.9578 (390) +[2024-05-16 01:37:07,917] - INFO: Evaluation over. +[2024-05-16 01:37:13,883] - INFO: Epoch 391/9999, Iter 19500: Loss = 0.015304247848689556, lr = [0.0001] +[2024-05-16 01:37:32,436] - INFO: Epoch 391/9999, Iter 19520: Loss = 0.010181390680372715, lr = [0.0001] +[2024-05-16 01:37:49,990] - INFO: Epoch 391/9999, Iter 19540: Loss = 0.019291657954454422, lr = [0.0001] +[2024-05-16 01:38:09,572] - INFO: Epoch 392/9999, Iter 19560: Loss = 0.011337836273014545, lr = [0.0001] +[2024-05-16 01:38:27,332] - INFO: Epoch 392/9999, Iter 19580: Loss = 0.0159181859344244, lr = [0.0001] +[2024-05-16 01:38:46,401] - INFO: Epoch 393/9999, Iter 19600: Loss = 0.012624455615878105, lr = [0.0001] +[2024-05-16 01:39:03,936] - INFO: Epoch 393/9999, Iter 19620: Loss = 0.019510526210069656, lr = [0.0001] +[2024-05-16 01:39:20,580] - INFO: Epoch 393/9999, Iter 19640: Loss = 0.016040368005633354, lr = [0.0001] +[2024-05-16 01:39:39,562] - INFO: Epoch 394/9999, Iter 19660: Loss = 0.014502632431685925, lr = [0.0001] +[2024-05-16 01:39:57,144] - INFO: Epoch 394/9999, Iter 19680: Loss = 0.011013668961822987, lr = [0.0001] +[2024-05-16 01:40:17,132] - INFO: Epoch 395/9999, Iter 19700: Loss = 0.015537021681666374, lr = [0.0001] +[2024-05-16 01:40:35,193] - INFO: Epoch 395/9999, Iter 19720: Loss = 0.015522717498242855, lr = [0.0001] +[2024-05-16 01:40:52,592] - INFO: Epoch 395/9999, Iter 19740: Loss = 0.013129240833222866, lr = [0.0001] +[2024-05-16 01:41:00,086] - INFO: Evaluate at epoch 395! +[2024-05-16 01:41:03,603] - INFO: Eval PSNR (max): 37.544 (380) SSIM (max): 0.9591 (385) +[2024-05-16 01:41:03,603] - INFO: Eval PSNR (current): 37.487 (395) SSIM (current): 0.9591 (395) +[2024-05-16 01:41:03,603] - INFO: Evaluation over. +[2024-05-16 01:41:18,686] - INFO: Epoch 396/9999, Iter 19760: Loss = 0.010352498851716518, lr = [0.0001] +[2024-05-16 01:41:37,043] - INFO: Epoch 396/9999, Iter 19780: Loss = 0.01844054087996483, lr = [0.0001] +[2024-05-16 01:41:56,135] - INFO: Epoch 397/9999, Iter 19800: Loss = 0.015729207545518875, lr = [0.0001] +[2024-05-16 01:42:13,143] - INFO: Epoch 397/9999, Iter 19820: Loss = 0.014210098423063755, lr = [0.0001] +[2024-05-16 01:42:30,188] - INFO: Epoch 397/9999, Iter 19840: Loss = 0.015331468544900417, lr = [0.0001] +[2024-05-16 01:42:49,131] - INFO: Epoch 398/9999, Iter 19860: Loss = 0.01196992862969637, lr = [0.0001] +[2024-05-16 01:43:06,283] - INFO: Epoch 398/9999, Iter 19880: Loss = 0.010192186571657658, lr = [0.0001] +[2024-05-16 01:43:25,368] - INFO: Epoch 399/9999, Iter 19900: Loss = 0.014891130849719048, lr = [0.0001] +[2024-05-16 01:43:43,611] - INFO: Epoch 399/9999, Iter 19920: Loss = 0.018155323341488838, lr = [0.0001] +[2024-05-16 01:44:01,233] - INFO: Epoch 399/9999, Iter 19940: Loss = 0.014480323530733585, lr = [0.0001] +[2024-05-16 01:44:20,122] - INFO: Epoch 400/9999, Iter 19960: Loss = 0.013558845035731792, lr = [0.0001] +[2024-05-16 01:44:37,155] - INFO: Epoch 400/9999, Iter 19980: Loss = 0.015390239655971527, lr = [0.0001] +[2024-05-16 01:44:53,616] - INFO: Evaluate at epoch 400! +[2024-05-16 01:44:57,369] - INFO: Eval PSNR (max): 37.544 (380) SSIM (max): 0.9591 (385) +[2024-05-16 01:44:57,369] - INFO: Eval PSNR (current): 37.498 (400) SSIM (current): 0.9590 (400) +[2024-05-16 01:44:57,369] - INFO: Evaluation over. +[2024-05-16 01:45:03,540] - INFO: Epoch 401/9999, Iter 20000: Loss = 0.014616353437304497, lr = [0.0001] +[2024-05-16 01:45:20,800] - INFO: Epoch 401/9999, Iter 20020: Loss = 0.015870915725827217, lr = [0.0001] +[2024-05-16 01:45:38,054] - INFO: Epoch 401/9999, Iter 20040: Loss = 0.021075226366519928, lr = [0.0001] +[2024-05-16 01:45:57,176] - INFO: Epoch 402/9999, Iter 20060: Loss = 0.02005082182586193, lr = [0.0001] +[2024-05-16 01:46:15,030] - INFO: Epoch 402/9999, Iter 20080: Loss = 0.008797070942819118, lr = [0.0001] +[2024-05-16 01:46:34,328] - INFO: Epoch 403/9999, Iter 20100: Loss = 0.013567381538450718, lr = [0.0001] +[2024-05-16 01:46:51,799] - INFO: Epoch 403/9999, Iter 20120: Loss = 0.014920620247721672, lr = [0.0001] +[2024-05-16 01:47:08,992] - INFO: Epoch 403/9999, Iter 20140: Loss = 0.014577634632587433, lr = [0.0001] +[2024-05-16 01:47:27,966] - INFO: Epoch 404/9999, Iter 20160: Loss = 0.012156353332102299, lr = [0.0001] +[2024-05-16 01:47:45,381] - INFO: Epoch 404/9999, Iter 20180: Loss = 0.015271310694515705, lr = [0.0001] +[2024-05-16 01:48:04,116] - INFO: Epoch 405/9999, Iter 20200: Loss = 0.011127350851893425, lr = [0.0001] +[2024-05-16 01:48:21,392] - INFO: Epoch 405/9999, Iter 20220: Loss = 0.010640714317560196, lr = [0.0001] +[2024-05-16 01:48:39,020] - INFO: Epoch 405/9999, Iter 20240: Loss = 0.013531677424907684, lr = [0.0001] +[2024-05-16 01:48:46,845] - INFO: Evaluate at epoch 405! +[2024-05-16 01:48:50,542] - INFO: Eval PSNR (max): 37.544 (380) SSIM (max): 0.9591 (385) +[2024-05-16 01:48:50,542] - INFO: Eval PSNR (current): 37.522 (405) SSIM (current): 0.9591 (405) +[2024-05-16 01:48:50,542] - INFO: Evaluation over. +[2024-05-16 01:49:05,184] - INFO: Epoch 406/9999, Iter 20260: Loss = 0.01467051263898611, lr = [0.0001] +[2024-05-16 01:49:23,129] - INFO: Epoch 406/9999, Iter 20280: Loss = 0.014543299563229084, lr = [0.0001] +[2024-05-16 01:49:42,328] - INFO: Epoch 407/9999, Iter 20300: Loss = 0.018503379076719284, lr = [0.0001] +[2024-05-16 01:49:59,220] - INFO: Epoch 407/9999, Iter 20320: Loss = 0.013362182304263115, lr = [0.0001] +[2024-05-16 01:50:16,313] - INFO: Epoch 407/9999, Iter 20340: Loss = 0.014867807738482952, lr = [0.0001] +[2024-05-16 01:50:35,031] - INFO: Epoch 408/9999, Iter 20360: Loss = 0.014269585721194744, lr = [0.0001] +[2024-05-16 01:50:52,153] - INFO: Epoch 408/9999, Iter 20380: Loss = 0.01688423566520214, lr = [0.0001] +[2024-05-16 01:51:11,664] - INFO: Epoch 409/9999, Iter 20400: Loss = 0.008897139690816402, lr = [0.0001] +[2024-05-16 01:51:29,832] - INFO: Epoch 409/9999, Iter 20420: Loss = 0.018744397908449173, lr = [0.0001] +[2024-05-16 01:51:47,396] - INFO: Epoch 409/9999, Iter 20440: Loss = 0.008085560984909534, lr = [0.0001] +[2024-05-16 01:52:06,473] - INFO: Epoch 410/9999, Iter 20460: Loss = 0.013874746859073639, lr = [0.0001] +[2024-05-16 01:52:24,232] - INFO: Epoch 410/9999, Iter 20480: Loss = 0.018996676430106163, lr = [0.0001] +[2024-05-16 01:52:41,106] - INFO: Evaluate at epoch 410! +[2024-05-16 01:52:44,635] - INFO: Eval PSNR (max): 37.544 (380) SSIM (max): 0.9591 (385) +[2024-05-16 01:52:44,635] - INFO: Eval PSNR (current): 37.377 (410) SSIM (current): 0.9587 (410) +[2024-05-16 01:52:44,635] - INFO: Evaluation over. +[2024-05-16 01:52:50,972] - INFO: Epoch 411/9999, Iter 20500: Loss = 0.015252468176186085, lr = [0.0001] +[2024-05-16 01:53:08,510] - INFO: Epoch 411/9999, Iter 20520: Loss = 0.012749873101711273, lr = [0.0001] +[2024-05-16 01:53:26,150] - INFO: Epoch 411/9999, Iter 20540: Loss = 0.014326542615890503, lr = [0.0001] +[2024-05-16 01:53:45,552] - INFO: Epoch 412/9999, Iter 20560: Loss = 0.01365809515118599, lr = [0.0001] +[2024-05-16 01:54:03,371] - INFO: Epoch 412/9999, Iter 20580: Loss = 0.016598829999566078, lr = [0.0001] +[2024-05-16 01:54:22,384] - INFO: Epoch 413/9999, Iter 20600: Loss = 0.010970146395266056, lr = [0.0001] +[2024-05-16 01:54:40,176] - INFO: Epoch 413/9999, Iter 20620: Loss = 0.011617660522460938, lr = [0.0001] +[2024-05-16 01:54:58,002] - INFO: Epoch 413/9999, Iter 20640: Loss = 0.007342726457864046, lr = [0.0001] +[2024-05-16 01:55:15,838] - INFO: Epoch 414/9999, Iter 20660: Loss = 0.010660962201654911, lr = [0.0001] +[2024-05-16 01:55:33,473] - INFO: Epoch 414/9999, Iter 20680: Loss = 0.01372616644948721, lr = [0.0001] +[2024-05-16 01:55:52,492] - INFO: Epoch 415/9999, Iter 20700: Loss = 0.014381534419953823, lr = [0.0001] +[2024-05-16 01:56:10,095] - INFO: Epoch 415/9999, Iter 20720: Loss = 0.01570124737918377, lr = [0.0001] +[2024-05-16 01:56:27,526] - INFO: Epoch 415/9999, Iter 20740: Loss = 0.01338778156787157, lr = [0.0001] +[2024-05-16 01:56:35,362] - INFO: Evaluate at epoch 415! +[2024-05-16 01:56:38,961] - INFO: Eval PSNR (max): 37.544 (380) SSIM (max): 0.9591 (385) +[2024-05-16 01:56:38,961] - INFO: Eval PSNR (current): 37.541 (415) SSIM (current): 0.9591 (415) +[2024-05-16 01:56:38,961] - INFO: Evaluation over. +[2024-05-16 01:56:53,956] - INFO: Epoch 416/9999, Iter 20760: Loss = 0.0104821203276515, lr = [0.0001] +[2024-05-16 01:57:11,944] - INFO: Epoch 416/9999, Iter 20780: Loss = 0.019476179033517838, lr = [0.0001] +[2024-05-16 01:57:31,016] - INFO: Epoch 417/9999, Iter 20800: Loss = 0.014184009283781052, lr = [0.0001] +[2024-05-16 01:57:48,494] - INFO: Epoch 417/9999, Iter 20820: Loss = 0.011034570634365082, lr = [0.0001] +[2024-05-16 01:58:05,762] - INFO: Epoch 417/9999, Iter 20840: Loss = 0.01804017275571823, lr = [0.0001] +[2024-05-16 01:58:25,134] - INFO: Epoch 418/9999, Iter 20860: Loss = 0.013846307061612606, lr = [0.0001] +[2024-05-16 01:58:43,121] - INFO: Epoch 418/9999, Iter 20880: Loss = 0.02358849346637726, lr = [0.0001] +[2024-05-16 01:59:02,060] - INFO: Epoch 419/9999, Iter 20900: Loss = 0.0147819509729743, lr = [0.0001] +[2024-05-16 01:59:19,409] - INFO: Epoch 419/9999, Iter 20920: Loss = 0.023938003927469254, lr = [0.0001] +[2024-05-16 01:59:37,174] - INFO: Epoch 419/9999, Iter 20940: Loss = 0.0133952796459198, lr = [0.0001] +[2024-05-16 01:59:56,033] - INFO: Epoch 420/9999, Iter 20960: Loss = 0.012257322669029236, lr = [0.0001] +[2024-05-16 02:00:13,884] - INFO: Epoch 420/9999, Iter 20980: Loss = 0.011468421667814255, lr = [0.0001] +[2024-05-16 02:00:30,646] - INFO: Evaluate at epoch 420! +[2024-05-16 02:00:34,241] - INFO: Eval PSNR (max): 37.544 (380) SSIM (max): 0.9591 (385) +[2024-05-16 02:00:34,242] - INFO: Eval PSNR (current): 37.456 (420) SSIM (current): 0.9589 (420) +[2024-05-16 02:00:34,242] - INFO: Evaluation over. +[2024-05-16 02:00:40,403] - INFO: Epoch 421/9999, Iter 21000: Loss = 0.010304633527994156, lr = [0.0001] +[2024-05-16 02:00:58,172] - INFO: Epoch 421/9999, Iter 21020: Loss = 0.011759982444345951, lr = [0.0001] +[2024-05-16 02:01:16,132] - INFO: Epoch 421/9999, Iter 21040: Loss = 0.018367763608694077, lr = [0.0001] +[2024-05-16 02:01:35,607] - INFO: Epoch 422/9999, Iter 21060: Loss = 0.01409867126494646, lr = [0.0001] +[2024-05-16 02:01:53,229] - INFO: Epoch 422/9999, Iter 21080: Loss = 0.011947483755648136, lr = [0.0001] +[2024-05-16 02:02:12,392] - INFO: Epoch 423/9999, Iter 21100: Loss = 0.01620085909962654, lr = [0.0001] +[2024-05-16 02:02:29,441] - INFO: Epoch 423/9999, Iter 21120: Loss = 0.015567159280180931, lr = [0.0001] +[2024-05-16 02:02:46,682] - INFO: Epoch 423/9999, Iter 21140: Loss = 0.013512571342289448, lr = [0.0001] +[2024-05-16 02:03:05,076] - INFO: Epoch 424/9999, Iter 21160: Loss = 0.01050441712141037, lr = [0.0001] +[2024-05-16 02:03:22,618] - INFO: Epoch 424/9999, Iter 21180: Loss = 0.01828768476843834, lr = [0.0001] +[2024-05-16 02:03:41,960] - INFO: Epoch 425/9999, Iter 21200: Loss = 0.010510338470339775, lr = [0.0001] +[2024-05-16 02:03:59,272] - INFO: Epoch 425/9999, Iter 21220: Loss = 0.008979162201285362, lr = [0.0001] +[2024-05-16 02:04:16,960] - INFO: Epoch 425/9999, Iter 21240: Loss = 0.012539457529783249, lr = [0.0001] +[2024-05-16 02:04:24,627] - INFO: Evaluate at epoch 425! +[2024-05-16 02:04:28,218] - INFO: Eval PSNR (max): 37.544 (380) SSIM (max): 0.9591 (385) +[2024-05-16 02:04:28,218] - INFO: Eval PSNR (current): 37.263 (425) SSIM (current): 0.9584 (425) +[2024-05-16 02:04:28,218] - INFO: Evaluation over. +[2024-05-16 02:04:43,077] - INFO: Epoch 426/9999, Iter 21260: Loss = 0.007165580987930298, lr = [0.0001] +[2024-05-16 02:05:00,920] - INFO: Epoch 426/9999, Iter 21280: Loss = 0.014053183607757092, lr = [0.0001] +[2024-05-16 02:05:22,296] - INFO: Epoch 427/9999, Iter 21300: Loss = 0.01688060164451599, lr = [0.0001] +[2024-05-16 02:05:39,580] - INFO: Epoch 427/9999, Iter 21320: Loss = 0.014959178864955902, lr = [0.0001] +[2024-05-16 02:05:57,448] - INFO: Epoch 427/9999, Iter 21340: Loss = 0.016968190670013428, lr = [0.0001] +[2024-05-16 02:06:16,376] - INFO: Epoch 428/9999, Iter 21360: Loss = 0.01625848561525345, lr = [0.0001] +[2024-05-16 02:06:34,580] - INFO: Epoch 428/9999, Iter 21380: Loss = 0.012379382736980915, lr = [0.0001] +[2024-05-16 02:06:53,568] - INFO: Epoch 429/9999, Iter 21400: Loss = 0.012741276994347572, lr = [0.0001] +[2024-05-16 02:07:11,955] - INFO: Epoch 429/9999, Iter 21420: Loss = 0.014973754994571209, lr = [0.0001] +[2024-05-16 02:07:29,676] - INFO: Epoch 429/9999, Iter 21440: Loss = 0.017419416457414627, lr = [0.0001] +[2024-05-16 02:07:47,991] - INFO: Epoch 430/9999, Iter 21460: Loss = 0.014653761871159077, lr = [0.0001] +[2024-05-16 02:08:05,868] - INFO: Epoch 430/9999, Iter 21480: Loss = 0.018189754337072372, lr = [0.0001] +[2024-05-16 02:08:22,700] - INFO: Evaluate at epoch 430! +[2024-05-16 02:08:29,935] - INFO: Eval PSNR (max): 37.544 (380) SSIM (max): 0.9591 (430) +[2024-05-16 02:08:29,935] - INFO: Eval PSNR (current): 37.527 (430) SSIM (current): 0.9591 (430) +[2024-05-16 02:08:29,935] - INFO: Evaluation over. +[2024-05-16 02:08:35,835] - INFO: Epoch 431/9999, Iter 21500: Loss = 0.015423079021275043, lr = [0.0001] +[2024-05-16 02:08:53,345] - INFO: Epoch 431/9999, Iter 21520: Loss = 0.015382261946797371, lr = [0.0001] +[2024-05-16 02:09:11,760] - INFO: Epoch 431/9999, Iter 21540: Loss = 0.011343050748109818, lr = [0.0001] +[2024-05-16 02:09:29,054] - INFO: Epoch 432/9999, Iter 21560: Loss = 0.010588245466351509, lr = [0.0001] +[2024-05-16 02:09:46,978] - INFO: Epoch 432/9999, Iter 21580: Loss = 0.010331643745303154, lr = [0.0001] +[2024-05-16 02:10:06,276] - INFO: Epoch 433/9999, Iter 21600: Loss = 0.011489391326904297, lr = [0.0001] +[2024-05-16 02:10:23,678] - INFO: Epoch 433/9999, Iter 21620: Loss = 0.014287814497947693, lr = [0.0001] +[2024-05-16 02:10:41,028] - INFO: Epoch 433/9999, Iter 21640: Loss = 0.006235525477677584, lr = [0.0001] +[2024-05-16 02:10:59,093] - INFO: Epoch 434/9999, Iter 21660: Loss = 0.01811838522553444, lr = [0.0001] +[2024-05-16 02:11:16,652] - INFO: Epoch 434/9999, Iter 21680: Loss = 0.012941121123731136, lr = [0.0001] +[2024-05-16 02:11:35,876] - INFO: Epoch 435/9999, Iter 21700: Loss = 0.011961521580815315, lr = [0.0001] +[2024-05-16 02:11:53,611] - INFO: Epoch 435/9999, Iter 21720: Loss = 0.01178661361336708, lr = [0.0001] +[2024-05-16 02:12:12,012] - INFO: Epoch 435/9999, Iter 21740: Loss = 0.011502254754304886, lr = [0.0001] +[2024-05-16 02:12:19,487] - INFO: Evaluate at epoch 435! +[2024-05-16 02:12:30,250] - INFO: Eval PSNR (max): 37.548 (435) SSIM (max): 0.9592 (435) +[2024-05-16 02:12:30,250] - INFO: Eval PSNR (current): 37.548 (435) SSIM (current): 0.9592 (435) +[2024-05-16 02:12:30,250] - INFO: Evaluation over. +[2024-05-16 02:12:45,246] - INFO: Epoch 436/9999, Iter 21760: Loss = 0.012838807888329029, lr = [0.0001] +[2024-05-16 02:13:03,480] - INFO: Epoch 436/9999, Iter 21780: Loss = 0.021799661219120026, lr = [0.0001] +[2024-05-16 02:13:22,198] - INFO: Epoch 437/9999, Iter 21800: Loss = 0.016389118507504463, lr = [0.0001] +[2024-05-16 02:13:40,320] - INFO: Epoch 437/9999, Iter 21820: Loss = 0.010877151042222977, lr = [0.0001] +[2024-05-16 02:13:57,920] - INFO: Epoch 437/9999, Iter 21840: Loss = 0.01439585629850626, lr = [0.0001] +[2024-05-16 02:14:17,223] - INFO: Epoch 438/9999, Iter 21860: Loss = 0.017290977761149406, lr = [0.0001] +[2024-05-16 02:14:35,197] - INFO: Epoch 438/9999, Iter 21880: Loss = 0.023566268384456635, lr = [0.0001] +[2024-05-16 02:14:54,138] - INFO: Epoch 439/9999, Iter 21900: Loss = 0.013768980279564857, lr = [0.0001] +[2024-05-16 02:15:11,916] - INFO: Epoch 439/9999, Iter 21920: Loss = 0.013587822206318378, lr = [0.0001] +[2024-05-16 02:15:29,507] - INFO: Epoch 439/9999, Iter 21940: Loss = 0.02163480408489704, lr = [0.0001] +[2024-05-16 02:15:48,633] - INFO: Epoch 440/9999, Iter 21960: Loss = 0.014895335771143436, lr = [0.0001] +[2024-05-16 02:16:06,361] - INFO: Epoch 440/9999, Iter 21980: Loss = 0.013355113565921783, lr = [0.0001] +[2024-05-16 02:16:23,578] - INFO: Evaluate at epoch 440! +[2024-05-16 02:16:27,094] - INFO: Eval PSNR (max): 37.548 (435) SSIM (max): 0.9592 (435) +[2024-05-16 02:16:27,094] - INFO: Eval PSNR (current): 37.375 (440) SSIM (current): 0.9586 (440) +[2024-05-16 02:16:27,095] - INFO: Evaluation over. +[2024-05-16 02:16:33,646] - INFO: Epoch 441/9999, Iter 22000: Loss = 0.011897415854036808, lr = [0.0001] +[2024-05-16 02:16:51,249] - INFO: Epoch 441/9999, Iter 22020: Loss = 0.015021003782749176, lr = [0.0001] +[2024-05-16 02:17:09,356] - INFO: Epoch 441/9999, Iter 22040: Loss = 0.018305763602256775, lr = [0.0001] +[2024-05-16 02:17:28,048] - INFO: Epoch 442/9999, Iter 22060: Loss = 0.019296852871775627, lr = [0.0001] +[2024-05-16 02:17:45,023] - INFO: Epoch 442/9999, Iter 22080: Loss = 0.01177093293517828, lr = [0.0001] +[2024-05-16 02:18:03,800] - INFO: Epoch 443/9999, Iter 22100: Loss = 0.010139751248061657, lr = [0.0001] +[2024-05-16 02:18:21,866] - INFO: Epoch 443/9999, Iter 22120: Loss = 0.01982787624001503, lr = [0.0001] +[2024-05-16 02:18:39,506] - INFO: Epoch 443/9999, Iter 22140: Loss = 0.011305905878543854, lr = [0.0001] +[2024-05-16 02:18:58,516] - INFO: Epoch 444/9999, Iter 22160: Loss = 0.01328545156866312, lr = [0.0001] +[2024-05-16 02:19:16,263] - INFO: Epoch 444/9999, Iter 22180: Loss = 0.013684210367500782, lr = [0.0001] +[2024-05-16 02:19:35,256] - INFO: Epoch 445/9999, Iter 22200: Loss = 0.00986310001462698, lr = [0.0001] +[2024-05-16 02:19:53,637] - INFO: Epoch 445/9999, Iter 22220: Loss = 0.01713598519563675, lr = [0.0001] +[2024-05-16 02:20:11,103] - INFO: Epoch 445/9999, Iter 22240: Loss = 0.013883087784051895, lr = [0.0001] +[2024-05-16 02:20:18,770] - INFO: Evaluate at epoch 445! +[2024-05-16 02:20:22,366] - INFO: Eval PSNR (max): 37.548 (435) SSIM (max): 0.9592 (435) +[2024-05-16 02:20:22,366] - INFO: Eval PSNR (current): 37.339 (445) SSIM (current): 0.9582 (445) +[2024-05-16 02:20:22,366] - INFO: Evaluation over. +[2024-05-16 02:20:37,128] - INFO: Epoch 446/9999, Iter 22260: Loss = 0.018489325419068336, lr = [0.0001] +[2024-05-16 02:20:55,166] - INFO: Epoch 446/9999, Iter 22280: Loss = 0.013348553329706192, lr = [0.0001] +[2024-05-16 02:21:14,118] - INFO: Epoch 447/9999, Iter 22300: Loss = 0.01179314311593771, lr = [0.0001] +[2024-05-16 02:21:31,749] - INFO: Epoch 447/9999, Iter 22320: Loss = 0.014906101860105991, lr = [0.0001] +[2024-05-16 02:21:48,379] - INFO: Epoch 447/9999, Iter 22340: Loss = 0.014971726574003696, lr = [0.0001] +[2024-05-16 02:22:07,732] - INFO: Epoch 448/9999, Iter 22360: Loss = 0.016545837745070457, lr = [0.0001] +[2024-05-16 02:22:25,126] - INFO: Epoch 448/9999, Iter 22380: Loss = 0.01741468906402588, lr = [0.0001] +[2024-05-16 02:22:43,945] - INFO: Epoch 449/9999, Iter 22400: Loss = 0.012134618125855923, lr = [0.0001] +[2024-05-16 02:23:01,170] - INFO: Epoch 449/9999, Iter 22420: Loss = 0.018422825261950493, lr = [0.0001] +[2024-05-16 02:23:18,666] - INFO: Epoch 449/9999, Iter 22440: Loss = 0.012499306350946426, lr = [0.0001] +[2024-05-16 02:23:37,966] - INFO: Epoch 450/9999, Iter 22460: Loss = 0.014320163056254387, lr = [0.0001] +[2024-05-16 02:23:55,516] - INFO: Epoch 450/9999, Iter 22480: Loss = 0.02244640700519085, lr = [0.0001] +[2024-05-16 02:24:12,624] - INFO: Evaluate at epoch 450! +[2024-05-16 02:24:19,895] - INFO: Eval PSNR (max): 37.568 (450) SSIM (max): 0.9592 (435) +[2024-05-16 02:24:19,895] - INFO: Eval PSNR (current): 37.568 (450) SSIM (current): 0.9592 (450) +[2024-05-16 02:24:19,895] - INFO: Evaluation over. +[2024-05-16 02:24:25,952] - INFO: Epoch 451/9999, Iter 22500: Loss = 0.021550072357058525, lr = [0.0001] +[2024-05-16 02:24:43,743] - INFO: Epoch 451/9999, Iter 22520: Loss = 0.02040589600801468, lr = [0.0001] +[2024-05-16 02:25:01,468] - INFO: Epoch 451/9999, Iter 22540: Loss = 0.015589733608067036, lr = [0.0001] +[2024-05-16 02:25:19,977] - INFO: Epoch 452/9999, Iter 22560: Loss = 0.017402881756424904, lr = [0.0001] +[2024-05-16 02:25:37,586] - INFO: Epoch 452/9999, Iter 22580: Loss = 0.01884390227496624, lr = [0.0001] +[2024-05-16 02:25:57,368] - INFO: Epoch 453/9999, Iter 22600: Loss = 0.014270764775574207, lr = [0.0001] +[2024-05-16 02:26:13,934] - INFO: Epoch 453/9999, Iter 22620: Loss = 0.011873931623995304, lr = [0.0001] +[2024-05-16 02:26:32,327] - INFO: Epoch 453/9999, Iter 22640: Loss = 0.01321676466614008, lr = [0.0001] +[2024-05-16 02:26:50,759] - INFO: Epoch 454/9999, Iter 22660: Loss = 0.007935685105621815, lr = [0.0001] +[2024-05-16 02:27:08,760] - INFO: Epoch 454/9999, Iter 22680: Loss = 0.015319240279495716, lr = [0.0001] +[2024-05-16 02:27:26,871] - INFO: Epoch 455/9999, Iter 22700: Loss = 0.015478050336241722, lr = [0.0001] +[2024-05-16 02:27:43,836] - INFO: Epoch 455/9999, Iter 22720: Loss = 0.018312016502022743, lr = [0.0001] +[2024-05-16 02:28:01,978] - INFO: Epoch 455/9999, Iter 22740: Loss = 0.013186313211917877, lr = [0.0001] +[2024-05-16 02:28:09,855] - INFO: Evaluate at epoch 455! +[2024-05-16 02:28:13,400] - INFO: Eval PSNR (max): 37.568 (450) SSIM (max): 0.9592 (435) +[2024-05-16 02:28:13,401] - INFO: Eval PSNR (current): 37.368 (455) SSIM (current): 0.9588 (455) +[2024-05-16 02:28:13,401] - INFO: Evaluation over. +[2024-05-16 02:28:27,917] - INFO: Epoch 456/9999, Iter 22760: Loss = 0.010268781334161758, lr = [0.0001] +[2024-05-16 02:28:46,013] - INFO: Epoch 456/9999, Iter 22780: Loss = 0.014998978935182095, lr = [0.0001] +[2024-05-16 02:29:04,975] - INFO: Epoch 457/9999, Iter 22800: Loss = 0.011417541652917862, lr = [0.0001] +[2024-05-16 02:29:22,942] - INFO: Epoch 457/9999, Iter 22820: Loss = 0.010579184629023075, lr = [0.0001] +[2024-05-16 02:29:41,144] - INFO: Epoch 457/9999, Iter 22840: Loss = 0.016255363821983337, lr = [0.0001] +[2024-05-16 02:29:59,386] - INFO: Epoch 458/9999, Iter 22860: Loss = 0.016639435663819313, lr = [0.0001] +[2024-05-16 02:30:17,163] - INFO: Epoch 458/9999, Iter 22880: Loss = 0.009502504952251911, lr = [0.0001] +[2024-05-16 02:30:36,593] - INFO: Epoch 459/9999, Iter 22900: Loss = 0.014929477125406265, lr = [0.0001] +[2024-05-16 02:30:55,023] - INFO: Epoch 459/9999, Iter 22920: Loss = 0.014582282863557339, lr = [0.0001] +[2024-05-16 02:31:12,636] - INFO: Epoch 459/9999, Iter 22940: Loss = 0.017196573317050934, lr = [0.0001] +[2024-05-16 02:31:31,568] - INFO: Epoch 460/9999, Iter 22960: Loss = 0.020497716963291168, lr = [0.0001] +[2024-05-16 02:31:49,060] - INFO: Epoch 460/9999, Iter 22980: Loss = 0.014260009862482548, lr = [0.0001] +[2024-05-16 02:32:06,102] - INFO: Evaluate at epoch 460! +[2024-05-16 02:32:09,657] - INFO: Eval PSNR (max): 37.568 (450) SSIM (max): 0.9592 (435) +[2024-05-16 02:32:09,657] - INFO: Eval PSNR (current): 37.470 (460) SSIM (current): 0.9591 (460) +[2024-05-16 02:32:09,657] - INFO: Evaluation over. +[2024-05-16 02:32:15,583] - INFO: Epoch 461/9999, Iter 23000: Loss = 0.010735249146819115, lr = [0.0001] +[2024-05-16 02:32:33,943] - INFO: Epoch 461/9999, Iter 23020: Loss = 0.01229086983948946, lr = [0.0001] +[2024-05-16 02:32:51,472] - INFO: Epoch 461/9999, Iter 23040: Loss = 0.013962963595986366, lr = [0.0001] +[2024-05-16 02:33:10,240] - INFO: Epoch 462/9999, Iter 23060: Loss = 0.01895342580974102, lr = [0.0001] +[2024-05-16 02:33:28,268] - INFO: Epoch 462/9999, Iter 23080: Loss = 0.013356317766010761, lr = [0.0001] +[2024-05-16 02:33:47,307] - INFO: Epoch 463/9999, Iter 23100: Loss = 0.020008612424135208, lr = [0.0001] +[2024-05-16 02:34:04,783] - INFO: Epoch 463/9999, Iter 23120: Loss = 0.014769160188734531, lr = [0.0001] +[2024-05-16 02:34:23,205] - INFO: Epoch 463/9999, Iter 23140: Loss = 0.015098825097084045, lr = [0.0001] +[2024-05-16 02:34:42,161] - INFO: Epoch 464/9999, Iter 23160: Loss = 0.015266078524291515, lr = [0.0001] +[2024-05-16 02:35:00,068] - INFO: Epoch 464/9999, Iter 23180: Loss = 0.012592209503054619, lr = [0.0001] +[2024-05-16 02:35:19,543] - INFO: Epoch 465/9999, Iter 23200: Loss = 0.01016805786639452, lr = [0.0001] +[2024-05-16 02:35:38,149] - INFO: Epoch 465/9999, Iter 23220: Loss = 0.01558733731508255, lr = [0.0001] +[2024-05-16 02:35:56,041] - INFO: Epoch 465/9999, Iter 23240: Loss = 0.00938135851174593, lr = [0.0001] +[2024-05-16 02:36:03,274] - INFO: Evaluate at epoch 465! +[2024-05-16 02:36:14,131] - INFO: Eval PSNR (max): 37.625 (465) SSIM (max): 0.9595 (465) +[2024-05-16 02:36:14,131] - INFO: Eval PSNR (current): 37.625 (465) SSIM (current): 0.9595 (465) +[2024-05-16 02:36:14,131] - INFO: Evaluation over. +[2024-05-16 02:36:29,440] - INFO: Epoch 466/9999, Iter 23260: Loss = 0.01239809487015009, lr = [0.0001] +[2024-05-16 02:36:47,024] - INFO: Epoch 466/9999, Iter 23280: Loss = 0.013910805806517601, lr = [0.0001] +[2024-05-16 02:37:06,348] - INFO: Epoch 467/9999, Iter 23300: Loss = 0.01588081195950508, lr = [0.0001] +[2024-05-16 02:37:24,142] - INFO: Epoch 467/9999, Iter 23320: Loss = 0.015344187617301941, lr = [0.0001] +[2024-05-16 02:37:41,365] - INFO: Epoch 467/9999, Iter 23340: Loss = 0.01378553081303835, lr = [0.0001] +[2024-05-16 02:37:59,916] - INFO: Epoch 468/9999, Iter 23360: Loss = 0.00950141716748476, lr = [0.0001] +[2024-05-16 02:38:17,857] - INFO: Epoch 468/9999, Iter 23380: Loss = 0.009186122566461563, lr = [0.0001] +[2024-05-16 02:38:36,650] - INFO: Epoch 469/9999, Iter 23400: Loss = 0.01605614647269249, lr = [0.0001] +[2024-05-16 02:38:53,808] - INFO: Epoch 469/9999, Iter 23420: Loss = 0.016236843541264534, lr = [0.0001] +[2024-05-16 02:39:11,152] - INFO: Epoch 469/9999, Iter 23440: Loss = 0.014254415407776833, lr = [0.0001] +[2024-05-16 02:39:30,903] - INFO: Epoch 470/9999, Iter 23460: Loss = 0.017142221331596375, lr = [0.0001] +[2024-05-16 02:39:48,591] - INFO: Epoch 470/9999, Iter 23480: Loss = 0.007989914156496525, lr = [0.0001] +[2024-05-16 02:40:05,112] - INFO: Evaluate at epoch 470! +[2024-05-16 02:40:08,545] - INFO: Eval PSNR (max): 37.625 (465) SSIM (max): 0.9595 (465) +[2024-05-16 02:40:08,545] - INFO: Eval PSNR (current): 37.523 (470) SSIM (current): 0.9591 (470) +[2024-05-16 02:40:08,545] - INFO: Evaluation over. +[2024-05-16 02:40:14,498] - INFO: Epoch 471/9999, Iter 23500: Loss = 0.024548014625906944, lr = [0.0001] +[2024-05-16 02:40:32,088] - INFO: Epoch 471/9999, Iter 23520: Loss = 0.012474194169044495, lr = [0.0001] +[2024-05-16 02:40:50,306] - INFO: Epoch 471/9999, Iter 23540: Loss = 0.014067353680729866, lr = [0.0001] +[2024-05-16 02:41:09,072] - INFO: Epoch 472/9999, Iter 23560: Loss = 0.014588461257517338, lr = [0.0001] +[2024-05-16 02:41:26,117] - INFO: Epoch 472/9999, Iter 23580: Loss = 0.013005922548472881, lr = [0.0001] +[2024-05-16 02:41:45,224] - INFO: Epoch 473/9999, Iter 23600: Loss = 0.00899204146116972, lr = [0.0001] +[2024-05-16 02:42:02,797] - INFO: Epoch 473/9999, Iter 23620: Loss = 0.013098792172968388, lr = [0.0001] +[2024-05-16 02:42:21,065] - INFO: Epoch 473/9999, Iter 23640: Loss = 0.009443557821214199, lr = [0.0001] +[2024-05-16 02:42:40,393] - INFO: Epoch 474/9999, Iter 23660: Loss = 0.021899862214922905, lr = [0.0001] +[2024-05-16 02:42:57,776] - INFO: Epoch 474/9999, Iter 23680: Loss = 0.007574285846203566, lr = [0.0001] +[2024-05-16 02:43:17,074] - INFO: Epoch 475/9999, Iter 23700: Loss = 0.011572730727493763, lr = [0.0001] +[2024-05-16 02:43:35,531] - INFO: Epoch 475/9999, Iter 23720: Loss = 0.014421350322663784, lr = [0.0001] +[2024-05-16 02:43:52,834] - INFO: Epoch 475/9999, Iter 23740: Loss = 0.02044491469860077, lr = [0.0001] +[2024-05-16 02:44:00,896] - INFO: Evaluate at epoch 475! +[2024-05-16 02:44:04,627] - INFO: Eval PSNR (max): 37.625 (465) SSIM (max): 0.9595 (465) +[2024-05-16 02:44:04,627] - INFO: Eval PSNR (current): 37.510 (475) SSIM (current): 0.9590 (475) +[2024-05-16 02:44:04,627] - INFO: Evaluation over. +[2024-05-16 02:44:20,072] - INFO: Epoch 476/9999, Iter 23760: Loss = 0.012597287073731422, lr = [0.0001] +[2024-05-16 02:44:37,730] - INFO: Epoch 476/9999, Iter 23780: Loss = 0.009661652147769928, lr = [0.0001] +[2024-05-16 02:44:56,598] - INFO: Epoch 477/9999, Iter 23800: Loss = 0.016187230125069618, lr = [0.0001] +[2024-05-16 02:45:13,700] - INFO: Epoch 477/9999, Iter 23820: Loss = 0.01240686234086752, lr = [0.0001] +[2024-05-16 02:45:30,932] - INFO: Epoch 477/9999, Iter 23840: Loss = 0.011368963867425919, lr = [0.0001] +[2024-05-16 02:45:50,547] - INFO: Epoch 478/9999, Iter 23860: Loss = 0.009586230851709843, lr = [0.0001] +[2024-05-16 02:46:08,284] - INFO: Epoch 478/9999, Iter 23880: Loss = 0.014873758889734745, lr = [0.0001] +[2024-05-16 02:46:27,508] - INFO: Epoch 479/9999, Iter 23900: Loss = 0.013145923614501953, lr = [0.0001] +[2024-05-16 02:46:44,890] - INFO: Epoch 479/9999, Iter 23920: Loss = 0.016085229814052582, lr = [0.0001] +[2024-05-16 02:47:01,820] - INFO: Epoch 479/9999, Iter 23940: Loss = 0.01704833097755909, lr = [0.0001] +[2024-05-16 02:47:21,601] - INFO: Epoch 480/9999, Iter 23960: Loss = 0.01620003767311573, lr = [0.0001] +[2024-05-16 02:47:39,589] - INFO: Epoch 480/9999, Iter 23980: Loss = 0.013665864244103432, lr = [0.0001] +[2024-05-16 02:47:55,948] - INFO: Evaluate at epoch 480! +[2024-05-16 02:47:59,272] - INFO: Eval PSNR (max): 37.625 (465) SSIM (max): 0.9595 (465) +[2024-05-16 02:47:59,272] - INFO: Eval PSNR (current): 37.423 (480) SSIM (current): 0.9591 (480) +[2024-05-16 02:47:59,272] - INFO: Evaluation over. +[2024-05-16 02:48:05,264] - INFO: Epoch 481/9999, Iter 24000: Loss = 0.013101438991725445, lr = [0.0001] +[2024-05-16 02:48:23,361] - INFO: Epoch 481/9999, Iter 24020: Loss = 0.014448757283389568, lr = [0.0001] +[2024-05-16 02:48:41,659] - INFO: Epoch 481/9999, Iter 24040: Loss = 0.007879392243921757, lr = [0.0001] +[2024-05-16 02:48:59,952] - INFO: Epoch 482/9999, Iter 24060: Loss = 0.017624450847506523, lr = [0.0001] +[2024-05-16 02:49:18,014] - INFO: Epoch 482/9999, Iter 24080: Loss = 0.014540373347699642, lr = [0.0001] +[2024-05-16 02:49:37,501] - INFO: Epoch 483/9999, Iter 24100: Loss = 0.01601511426270008, lr = [0.0001] +[2024-05-16 02:49:54,642] - INFO: Epoch 483/9999, Iter 24120: Loss = 0.014385848306119442, lr = [0.0001] +[2024-05-16 02:50:11,980] - INFO: Epoch 483/9999, Iter 24140: Loss = 0.010247111320495605, lr = [0.0001] +[2024-05-16 02:50:31,675] - INFO: Epoch 484/9999, Iter 24160: Loss = 0.010621695779263973, lr = [0.0001] +[2024-05-16 02:50:49,648] - INFO: Epoch 484/9999, Iter 24180: Loss = 0.017300186678767204, lr = [0.0001] +[2024-05-16 02:51:08,840] - INFO: Epoch 485/9999, Iter 24200: Loss = 0.017556704580783844, lr = [0.0001] +[2024-05-16 02:51:26,896] - INFO: Epoch 485/9999, Iter 24220: Loss = 0.015119053423404694, lr = [0.0001] +[2024-05-16 02:51:44,807] - INFO: Epoch 485/9999, Iter 24240: Loss = 0.011418798938393593, lr = [0.0001] +[2024-05-16 02:51:52,405] - INFO: Evaluate at epoch 485! +[2024-05-16 02:51:55,983] - INFO: Eval PSNR (max): 37.625 (465) SSIM (max): 0.9595 (465) +[2024-05-16 02:51:55,983] - INFO: Eval PSNR (current): 37.118 (485) SSIM (current): 0.9591 (485) +[2024-05-16 02:51:55,983] - INFO: Evaluation over. +[2024-05-16 02:52:11,052] - INFO: Epoch 486/9999, Iter 24260: Loss = 0.011594295501708984, lr = [0.0001] +[2024-05-16 02:52:29,053] - INFO: Epoch 486/9999, Iter 24280: Loss = 0.015259398147463799, lr = [0.0001] +[2024-05-16 02:52:48,160] - INFO: Epoch 487/9999, Iter 24300: Loss = 0.0160809438675642, lr = [0.0001] +[2024-05-16 02:53:06,108] - INFO: Epoch 487/9999, Iter 24320: Loss = 0.012541222386062145, lr = [0.0001] +[2024-05-16 02:53:23,332] - INFO: Epoch 487/9999, Iter 24340: Loss = 0.016513297334313393, lr = [0.0001] +[2024-05-16 02:53:42,608] - INFO: Epoch 488/9999, Iter 24360: Loss = 0.011836403980851173, lr = [0.0001] +[2024-05-16 02:54:00,540] - INFO: Epoch 488/9999, Iter 24380: Loss = 0.015067540109157562, lr = [0.0001] +[2024-05-16 02:54:18,996] - INFO: Epoch 489/9999, Iter 24400: Loss = 0.016229841858148575, lr = [0.0001] +[2024-05-16 02:54:36,455] - INFO: Epoch 489/9999, Iter 24420: Loss = 0.013580840080976486, lr = [0.0001] +[2024-05-16 02:54:54,880] - INFO: Epoch 489/9999, Iter 24440: Loss = 0.013939173892140388, lr = [0.0001] +[2024-05-16 02:55:14,011] - INFO: Epoch 490/9999, Iter 24460: Loss = 0.013573682866990566, lr = [0.0001] +[2024-05-16 02:55:31,767] - INFO: Epoch 490/9999, Iter 24480: Loss = 0.01590573601424694, lr = [0.0001] +[2024-05-16 02:55:48,108] - INFO: Evaluate at epoch 490! +[2024-05-16 02:55:51,578] - INFO: Eval PSNR (max): 37.625 (465) SSIM (max): 0.9595 (465) +[2024-05-16 02:55:51,579] - INFO: Eval PSNR (current): 37.606 (490) SSIM (current): 0.9593 (490) +[2024-05-16 02:55:51,579] - INFO: Evaluation over. +[2024-05-16 02:55:57,468] - INFO: Epoch 491/9999, Iter 24500: Loss = 0.008142293430864811, lr = [0.0001] +[2024-05-16 02:56:15,130] - INFO: Epoch 491/9999, Iter 24520: Loss = 0.01743842475116253, lr = [0.0001] +[2024-05-16 02:56:33,319] - INFO: Epoch 491/9999, Iter 24540: Loss = 0.008736894465982914, lr = [0.0001] +[2024-05-16 02:56:51,701] - INFO: Epoch 492/9999, Iter 24560: Loss = 0.01868601143360138, lr = [0.0001] +[2024-05-16 02:57:09,166] - INFO: Epoch 492/9999, Iter 24580: Loss = 0.00634985463693738, lr = [0.0001] +[2024-05-16 02:57:28,429] - INFO: Epoch 493/9999, Iter 24600: Loss = 0.009339096024632454, lr = [0.0001] +[2024-05-16 02:57:46,150] - INFO: Epoch 493/9999, Iter 24620: Loss = 0.01136772520840168, lr = [0.0001] +[2024-05-16 02:58:04,097] - INFO: Epoch 493/9999, Iter 24640: Loss = 0.01746871881186962, lr = [0.0001] +[2024-05-16 02:58:22,374] - INFO: Epoch 494/9999, Iter 24660: Loss = 0.011463661678135395, lr = [0.0001] +[2024-05-16 02:58:39,971] - INFO: Epoch 494/9999, Iter 24680: Loss = 0.010212792083621025, lr = [0.0001] +[2024-05-16 02:58:58,940] - INFO: Epoch 495/9999, Iter 24700: Loss = 0.01272630412131548, lr = [0.0001] +[2024-05-16 02:59:17,024] - INFO: Epoch 495/9999, Iter 24720: Loss = 0.01860954239964485, lr = [0.0001] +[2024-05-16 02:59:34,958] - INFO: Epoch 495/9999, Iter 24740: Loss = 0.016599971801042557, lr = [0.0001] +[2024-05-16 02:59:42,706] - INFO: Evaluate at epoch 495! +[2024-05-16 02:59:46,217] - INFO: Eval PSNR (max): 37.625 (465) SSIM (max): 0.9595 (465) +[2024-05-16 02:59:46,217] - INFO: Eval PSNR (current): 37.569 (495) SSIM (current): 0.9591 (495) +[2024-05-16 02:59:46,217] - INFO: Evaluation over. +[2024-05-16 03:00:00,860] - INFO: Epoch 496/9999, Iter 24760: Loss = 0.011794589459896088, lr = [0.0001] +[2024-05-16 03:00:17,968] - INFO: Epoch 496/9999, Iter 24780: Loss = 0.011881009675562382, lr = [0.0001] +[2024-05-16 03:00:36,953] - INFO: Epoch 497/9999, Iter 24800: Loss = 0.012454825453460217, lr = [0.0001] +[2024-05-16 03:00:53,900] - INFO: Epoch 497/9999, Iter 24820: Loss = 0.013353263959288597, lr = [0.0001] +[2024-05-16 03:01:11,104] - INFO: Epoch 497/9999, Iter 24840: Loss = 0.01683903858065605, lr = [0.0001] +[2024-05-16 03:01:30,888] - INFO: Epoch 498/9999, Iter 24860: Loss = 0.00950270052999258, lr = [0.0001] +[2024-05-16 03:01:48,398] - INFO: Epoch 498/9999, Iter 24880: Loss = 0.011199313215911388, lr = [0.0001] +[2024-05-16 03:02:07,424] - INFO: Epoch 499/9999, Iter 24900: Loss = 0.010521256364881992, lr = [0.0001] +[2024-05-16 03:02:25,217] - INFO: Epoch 499/9999, Iter 24920: Loss = 0.014733285643160343, lr = [0.0001] +[2024-05-16 03:02:42,766] - INFO: Epoch 499/9999, Iter 24940: Loss = 0.01822345145046711, lr = [0.0001] +[2024-05-16 03:03:01,235] - INFO: Epoch 500/9999, Iter 24960: Loss = 0.008734184317290783, lr = [0.0001] +[2024-05-16 03:03:18,508] - INFO: Epoch 500/9999, Iter 24980: Loss = 0.01780402660369873, lr = [0.0001] +[2024-05-16 03:03:35,244] - INFO: Evaluate at epoch 500! +[2024-05-16 03:03:38,719] - INFO: Eval PSNR (max): 37.625 (465) SSIM (max): 0.9595 (465) +[2024-05-16 03:03:38,719] - INFO: Eval PSNR (current): 37.551 (500) SSIM (current): 0.9591 (500) +[2024-05-16 03:03:38,719] - INFO: Evaluation over. +[2024-05-16 03:03:44,811] - INFO: Epoch 501/9999, Iter 25000: Loss = 0.01733841933310032, lr = [0.0001] +[2024-05-16 03:04:02,520] - INFO: Epoch 501/9999, Iter 25020: Loss = 0.010287477634847164, lr = [0.0001] +[2024-05-16 03:04:20,335] - INFO: Epoch 501/9999, Iter 25040: Loss = 0.009556416422128677, lr = [0.0001] +[2024-05-16 03:04:39,294] - INFO: Epoch 502/9999, Iter 25060: Loss = 0.011416669003665447, lr = [0.0001] +[2024-05-16 03:04:56,600] - INFO: Epoch 502/9999, Iter 25080: Loss = 0.013912585563957691, lr = [0.0001] +[2024-05-16 03:05:16,201] - INFO: Epoch 503/9999, Iter 25100: Loss = 0.012326222844421864, lr = [0.0001] +[2024-05-16 03:05:34,004] - INFO: Epoch 503/9999, Iter 25120: Loss = 0.014948727563023567, lr = [0.0001] +[2024-05-16 03:05:52,507] - INFO: Epoch 503/9999, Iter 25140: Loss = 0.014252145774662495, lr = [0.0001] +[2024-05-16 03:06:11,539] - INFO: Epoch 504/9999, Iter 25160: Loss = 0.013269223272800446, lr = [0.0001] +[2024-05-16 03:06:29,116] - INFO: Epoch 504/9999, Iter 25180: Loss = 0.013728671707212925, lr = [0.0001] +[2024-05-16 03:06:48,062] - INFO: Epoch 505/9999, Iter 25200: Loss = 0.013737522065639496, lr = [0.0001] +[2024-05-16 03:07:05,767] - INFO: Epoch 505/9999, Iter 25220: Loss = 0.015312803909182549, lr = [0.0001] +[2024-05-16 03:07:23,840] - INFO: Epoch 505/9999, Iter 25240: Loss = 0.016802547499537468, lr = [0.0001] +[2024-05-16 03:07:31,337] - INFO: Evaluate at epoch 505! +[2024-05-16 03:07:34,800] - INFO: Eval PSNR (max): 37.625 (465) SSIM (max): 0.9595 (465) +[2024-05-16 03:07:34,800] - INFO: Eval PSNR (current): 37.606 (505) SSIM (current): 0.9592 (505) +[2024-05-16 03:07:34,800] - INFO: Evaluation over. +[2024-05-16 03:07:49,109] - INFO: Epoch 506/9999, Iter 25260: Loss = 0.01999485120177269, lr = [0.0001] +[2024-05-16 03:08:06,748] - INFO: Epoch 506/9999, Iter 25280: Loss = 0.011667924001812935, lr = [0.0001] +[2024-05-16 03:08:26,168] - INFO: Epoch 507/9999, Iter 25300: Loss = 0.015995122492313385, lr = [0.0001] +[2024-05-16 03:08:44,238] - INFO: Epoch 507/9999, Iter 25320: Loss = 0.011890939436852932, lr = [0.0001] +[2024-05-16 03:09:01,570] - INFO: Epoch 507/9999, Iter 25340: Loss = 0.014028644189238548, lr = [0.0001] +[2024-05-16 03:09:20,366] - INFO: Epoch 508/9999, Iter 25360: Loss = 0.017012648284435272, lr = [0.0001] +[2024-05-16 03:09:38,403] - INFO: Epoch 508/9999, Iter 25380: Loss = 0.014505056664347649, lr = [0.0001] +[2024-05-16 03:09:57,092] - INFO: Epoch 509/9999, Iter 25400: Loss = 0.012202741578221321, lr = [0.0001] +[2024-05-16 03:10:14,488] - INFO: Epoch 509/9999, Iter 25420: Loss = 0.016611112281680107, lr = [0.0001] +[2024-05-16 03:10:32,348] - INFO: Epoch 509/9999, Iter 25440: Loss = 0.012087445706129074, lr = [0.0001] +[2024-05-16 03:10:52,048] - INFO: Epoch 510/9999, Iter 25460: Loss = 0.013976938091218472, lr = [0.0001] +[2024-05-16 03:11:09,624] - INFO: Epoch 510/9999, Iter 25480: Loss = 0.01931050978600979, lr = [0.0001] +[2024-05-16 03:11:25,922] - INFO: Evaluate at epoch 510! +[2024-05-16 03:11:29,286] - INFO: Eval PSNR (max): 37.625 (465) SSIM (max): 0.9595 (465) +[2024-05-16 03:11:29,286] - INFO: Eval PSNR (current): 37.501 (510) SSIM (current): 0.9591 (510) +[2024-05-16 03:11:29,287] - INFO: Evaluation over. +[2024-05-16 03:11:35,448] - INFO: Epoch 511/9999, Iter 25500: Loss = 0.013446638360619545, lr = [0.0001] +[2024-05-16 03:11:53,260] - INFO: Epoch 511/9999, Iter 25520: Loss = 0.015007608570158482, lr = [0.0001] +[2024-05-16 03:12:11,197] - INFO: Epoch 511/9999, Iter 25540: Loss = 0.01488485187292099, lr = [0.0001] +[2024-05-16 03:12:30,065] - INFO: Epoch 512/9999, Iter 25560: Loss = 0.01353558711707592, lr = [0.0001] +[2024-05-16 03:12:47,763] - INFO: Epoch 512/9999, Iter 25580: Loss = 0.014773378148674965, lr = [0.0001] +[2024-05-16 03:13:06,610] - INFO: Epoch 513/9999, Iter 25600: Loss = 0.016716111451387405, lr = [0.0001] +[2024-05-16 03:13:24,466] - INFO: Epoch 513/9999, Iter 25620: Loss = 0.012636279687285423, lr = [0.0001] +[2024-05-16 03:13:42,014] - INFO: Epoch 513/9999, Iter 25640: Loss = 0.01936478540301323, lr = [0.0001] +[2024-05-16 03:14:01,305] - INFO: Epoch 514/9999, Iter 25660: Loss = 0.01399720087647438, lr = [0.0001] +[2024-05-16 03:14:19,870] - INFO: Epoch 514/9999, Iter 25680: Loss = 0.019148848950862885, lr = [0.0001] +[2024-05-16 03:14:38,550] - INFO: Epoch 515/9999, Iter 25700: Loss = 0.01010152418166399, lr = [0.0001] +[2024-05-16 03:14:56,547] - INFO: Epoch 515/9999, Iter 25720: Loss = 0.011900017969310284, lr = [0.0001] +[2024-05-16 03:15:14,144] - INFO: Epoch 515/9999, Iter 25740: Loss = 0.009394163265824318, lr = [0.0001] +[2024-05-16 03:15:21,901] - INFO: Evaluate at epoch 515! +[2024-05-16 03:15:29,039] - INFO: Eval PSNR (max): 37.630 (515) SSIM (max): 0.9595 (465) +[2024-05-16 03:15:29,040] - INFO: Eval PSNR (current): 37.630 (515) SSIM (current): 0.9594 (515) +[2024-05-16 03:15:29,040] - INFO: Evaluation over. +[2024-05-16 03:15:44,272] - INFO: Epoch 516/9999, Iter 25760: Loss = 0.010720075108110905, lr = [0.0001] +[2024-05-16 03:16:02,078] - INFO: Epoch 516/9999, Iter 25780: Loss = 0.015332339331507683, lr = [0.0001] +[2024-05-16 03:16:20,961] - INFO: Epoch 517/9999, Iter 25800: Loss = 0.014162509702146053, lr = [0.0001] +[2024-05-16 03:16:39,520] - INFO: Epoch 517/9999, Iter 25820: Loss = 0.014333299361169338, lr = [0.0001] +[2024-05-16 03:16:57,513] - INFO: Epoch 517/9999, Iter 25840: Loss = 0.01512135099619627, lr = [0.0001] +[2024-05-16 03:17:16,143] - INFO: Epoch 518/9999, Iter 25860: Loss = 0.01615893468260765, lr = [0.0001] +[2024-05-16 03:17:34,296] - INFO: Epoch 518/9999, Iter 25880: Loss = 0.013454629108309746, lr = [0.0001] +[2024-05-16 03:17:53,539] - INFO: Epoch 519/9999, Iter 25900: Loss = 0.01985485851764679, lr = [0.0001] +[2024-05-16 03:18:11,684] - INFO: Epoch 519/9999, Iter 25920: Loss = 0.017558811232447624, lr = [0.0001] +[2024-05-16 03:18:29,581] - INFO: Epoch 519/9999, Iter 25940: Loss = 0.011714708060026169, lr = [0.0001] +[2024-05-16 03:18:49,279] - INFO: Epoch 520/9999, Iter 25960: Loss = 0.012137550860643387, lr = [0.0001] +[2024-05-16 03:19:07,457] - INFO: Epoch 520/9999, Iter 25980: Loss = 0.015712596476078033, lr = [0.0001] +[2024-05-16 03:19:23,340] - INFO: Evaluate at epoch 520! +[2024-05-16 03:19:26,889] - INFO: Eval PSNR (max): 37.630 (515) SSIM (max): 0.9595 (465) +[2024-05-16 03:19:26,889] - INFO: Eval PSNR (current): 37.448 (520) SSIM (current): 0.9593 (520) +[2024-05-16 03:19:26,889] - INFO: Evaluation over. +[2024-05-16 03:19:32,824] - INFO: Epoch 521/9999, Iter 26000: Loss = 0.021463658660650253, lr = [0.0001] +[2024-05-16 03:19:50,616] - INFO: Epoch 521/9999, Iter 26020: Loss = 0.011997122317552567, lr = [0.0001] +[2024-05-16 03:20:08,504] - INFO: Epoch 521/9999, Iter 26040: Loss = 0.018711809068918228, lr = [0.0001] +[2024-05-16 03:20:27,960] - INFO: Epoch 522/9999, Iter 26060: Loss = 0.014373908750712872, lr = [0.0001] +[2024-05-16 03:20:45,960] - INFO: Epoch 522/9999, Iter 26080: Loss = 0.012757793068885803, lr = [0.0001] +[2024-05-16 03:21:04,448] - INFO: Epoch 523/9999, Iter 26100: Loss = 0.013206741772592068, lr = [0.0001] +[2024-05-16 03:21:22,195] - INFO: Epoch 523/9999, Iter 26120: Loss = 0.01575249806046486, lr = [0.0001] +[2024-05-16 03:21:40,380] - INFO: Epoch 523/9999, Iter 26140: Loss = 0.013578539714217186, lr = [0.0001] +[2024-05-16 03:21:59,124] - INFO: Epoch 524/9999, Iter 26160: Loss = 0.013757091946899891, lr = [0.0001] +[2024-05-16 03:22:16,120] - INFO: Epoch 524/9999, Iter 26180: Loss = 0.016269052401185036, lr = [0.0001] +[2024-05-16 03:22:35,586] - INFO: Epoch 525/9999, Iter 26200: Loss = 0.01047520712018013, lr = [0.0001] +[2024-05-16 03:22:53,851] - INFO: Epoch 525/9999, Iter 26220: Loss = 0.011032791808247566, lr = [0.0001] +[2024-05-16 03:23:11,566] - INFO: Epoch 525/9999, Iter 26240: Loss = 0.014099379070103168, lr = [0.0001] +[2024-05-16 03:23:19,322] - INFO: Evaluate at epoch 525! +[2024-05-16 03:23:22,832] - INFO: Eval PSNR (max): 37.630 (515) SSIM (max): 0.9595 (465) +[2024-05-16 03:23:22,832] - INFO: Eval PSNR (current): 37.545 (525) SSIM (current): 0.9592 (525) +[2024-05-16 03:23:22,832] - INFO: Evaluation over. +[2024-05-16 03:23:38,016] - INFO: Epoch 526/9999, Iter 26260: Loss = 0.013951282016932964, lr = [0.0001] +[2024-05-16 03:23:55,891] - INFO: Epoch 526/9999, Iter 26280: Loss = 0.009077097289264202, lr = [0.0001] +[2024-05-16 03:24:14,824] - INFO: Epoch 527/9999, Iter 26300: Loss = 0.010996580123901367, lr = [0.0001] +[2024-05-16 03:24:32,981] - INFO: Epoch 527/9999, Iter 26320: Loss = 0.017374787479639053, lr = [0.0001] +[2024-05-16 03:24:50,930] - INFO: Epoch 527/9999, Iter 26340: Loss = 0.014782271347939968, lr = [0.0001] +[2024-05-16 03:25:09,718] - INFO: Epoch 528/9999, Iter 26360: Loss = 0.017788447439670563, lr = [0.0001] +[2024-05-16 03:25:27,912] - INFO: Epoch 528/9999, Iter 26380: Loss = 0.015516199171543121, lr = [0.0001] +[2024-05-16 03:25:46,480] - INFO: Epoch 529/9999, Iter 26400: Loss = 0.01384521834552288, lr = [0.0001] +[2024-05-16 03:26:04,249] - INFO: Epoch 529/9999, Iter 26420: Loss = 0.014903849922120571, lr = [0.0001] +[2024-05-16 03:26:22,213] - INFO: Epoch 529/9999, Iter 26440: Loss = 0.012428761459887028, lr = [0.0001] +[2024-05-16 03:26:41,277] - INFO: Epoch 530/9999, Iter 26460: Loss = 0.017323076725006104, lr = [0.0001] +[2024-05-16 03:26:58,956] - INFO: Epoch 530/9999, Iter 26480: Loss = 0.015837395563721657, lr = [0.0001] +[2024-05-16 03:27:15,497] - INFO: Evaluate at epoch 530! +[2024-05-16 03:27:22,620] - INFO: Eval PSNR (max): 37.630 (515) SSIM (max): 0.9595 (530) +[2024-05-16 03:27:22,621] - INFO: Eval PSNR (current): 37.622 (530) SSIM (current): 0.9595 (530) +[2024-05-16 03:27:22,621] - INFO: Evaluation over. +[2024-05-16 03:27:28,580] - INFO: Epoch 531/9999, Iter 26500: Loss = 0.01255874615162611, lr = [0.0001] +[2024-05-16 03:27:46,447] - INFO: Epoch 531/9999, Iter 26520: Loss = 0.011570154689252377, lr = [0.0001] +[2024-05-16 03:28:04,364] - INFO: Epoch 531/9999, Iter 26540: Loss = 0.019658776000142097, lr = [0.0001] +[2024-05-16 03:28:22,852] - INFO: Epoch 532/9999, Iter 26560: Loss = 0.014299732632935047, lr = [0.0001] +[2024-05-16 03:28:39,931] - INFO: Epoch 532/9999, Iter 26580: Loss = 0.016852200031280518, lr = [0.0001] +[2024-05-16 03:28:58,942] - INFO: Epoch 533/9999, Iter 26600: Loss = 0.011703941971063614, lr = [0.0001] +[2024-05-16 03:29:16,873] - INFO: Epoch 533/9999, Iter 26620: Loss = 0.009801257401704788, lr = [0.0001] +[2024-05-16 03:29:34,856] - INFO: Epoch 533/9999, Iter 26640: Loss = 0.013644463382661343, lr = [0.0001] +[2024-05-16 03:29:53,775] - INFO: Epoch 534/9999, Iter 26660: Loss = 0.01284035760909319, lr = [0.0001] +[2024-05-16 03:30:11,094] - INFO: Epoch 534/9999, Iter 26680: Loss = 0.017113901674747467, lr = [0.0001] +[2024-05-16 03:30:30,625] - INFO: Epoch 535/9999, Iter 26700: Loss = 0.010877861641347408, lr = [0.0001] +[2024-05-16 03:30:49,143] - INFO: Epoch 535/9999, Iter 26720: Loss = 0.016243519261479378, lr = [0.0001] +[2024-05-16 03:31:06,704] - INFO: Epoch 535/9999, Iter 26740: Loss = 0.014064561575651169, lr = [0.0001] +[2024-05-16 03:31:14,173] - INFO: Evaluate at epoch 535! +[2024-05-16 03:31:17,750] - INFO: Eval PSNR (max): 37.630 (515) SSIM (max): 0.9595 (530) +[2024-05-16 03:31:17,751] - INFO: Eval PSNR (current): 37.590 (535) SSIM (current): 0.9591 (535) +[2024-05-16 03:31:17,751] - INFO: Evaluation over. +[2024-05-16 03:31:32,595] - INFO: Epoch 536/9999, Iter 26760: Loss = 0.01685587503015995, lr = [0.0001] +[2024-05-16 03:31:50,601] - INFO: Epoch 536/9999, Iter 26780: Loss = 0.009550802409648895, lr = [0.0001] +[2024-05-16 03:32:09,779] - INFO: Epoch 537/9999, Iter 26800: Loss = 0.01162304449826479, lr = [0.0001] +[2024-05-16 03:32:27,454] - INFO: Epoch 537/9999, Iter 26820: Loss = 0.010829775594174862, lr = [0.0001] +[2024-05-16 03:32:45,634] - INFO: Epoch 537/9999, Iter 26840: Loss = 0.011830318719148636, lr = [0.0001] +[2024-05-16 03:33:04,136] - INFO: Epoch 538/9999, Iter 26860: Loss = 0.012470775283873081, lr = [0.0001] +[2024-05-16 03:33:21,861] - INFO: Epoch 538/9999, Iter 26880: Loss = 0.008760242722928524, lr = [0.0001] +[2024-05-16 03:33:40,768] - INFO: Epoch 539/9999, Iter 26900: Loss = 0.020245924592018127, lr = [0.0001] +[2024-05-16 03:33:57,904] - INFO: Epoch 539/9999, Iter 26920: Loss = 0.012536698952317238, lr = [0.0001] +[2024-05-16 03:34:15,668] - INFO: Epoch 539/9999, Iter 26940: Loss = 0.01234201155602932, lr = [0.0001] +[2024-05-16 03:34:34,281] - INFO: Epoch 540/9999, Iter 26960: Loss = 0.01648087240755558, lr = [0.0001] +[2024-05-16 03:34:52,882] - INFO: Epoch 540/9999, Iter 26980: Loss = 0.015498057939112186, lr = [0.0001] +[2024-05-16 03:35:09,470] - INFO: Evaluate at epoch 540! +[2024-05-16 03:35:13,085] - INFO: Eval PSNR (max): 37.630 (515) SSIM (max): 0.9595 (530) +[2024-05-16 03:35:13,086] - INFO: Eval PSNR (current): 37.550 (540) SSIM (current): 0.9593 (540) +[2024-05-16 03:35:13,086] - INFO: Evaluation over. +[2024-05-16 03:35:19,108] - INFO: Epoch 541/9999, Iter 27000: Loss = 0.016246022656559944, lr = [0.0001] +[2024-05-16 03:35:36,220] - INFO: Epoch 541/9999, Iter 27020: Loss = 0.009854976087808609, lr = [0.0001] +[2024-05-16 03:35:53,256] - INFO: Epoch 541/9999, Iter 27040: Loss = 0.010348783805966377, lr = [0.0001] +[2024-05-16 03:36:12,928] - INFO: Epoch 542/9999, Iter 27060: Loss = 0.011316764168441296, lr = [0.0001] +[2024-05-16 03:36:31,166] - INFO: Epoch 542/9999, Iter 27080: Loss = 0.01155732199549675, lr = [0.0001] +[2024-05-16 03:36:50,262] - INFO: Epoch 543/9999, Iter 27100: Loss = 0.012521679513156414, lr = [0.0001] +[2024-05-16 03:37:07,857] - INFO: Epoch 543/9999, Iter 27120: Loss = 0.016258755698800087, lr = [0.0001] +[2024-05-16 03:37:26,412] - INFO: Epoch 543/9999, Iter 27140: Loss = 0.014043865725398064, lr = [0.0001] +[2024-05-16 03:37:45,012] - INFO: Epoch 544/9999, Iter 27160: Loss = 0.008239323273301125, lr = [0.0001] +[2024-05-16 03:38:03,160] - INFO: Epoch 544/9999, Iter 27180: Loss = 0.011349594220519066, lr = [0.0001] +[2024-05-16 03:38:22,488] - INFO: Epoch 545/9999, Iter 27200: Loss = 0.020082617178559303, lr = [0.0001] +[2024-05-16 03:38:40,620] - INFO: Epoch 545/9999, Iter 27220: Loss = 0.012975208461284637, lr = [0.0001] +[2024-05-16 03:38:58,503] - INFO: Epoch 545/9999, Iter 27240: Loss = 0.013807536102831364, lr = [0.0001] +[2024-05-16 03:39:06,161] - INFO: Evaluate at epoch 545! +[2024-05-16 03:39:09,721] - INFO: Eval PSNR (max): 37.630 (515) SSIM (max): 0.9595 (530) +[2024-05-16 03:39:09,722] - INFO: Eval PSNR (current): 37.437 (545) SSIM (current): 0.9593 (545) +[2024-05-16 03:39:09,722] - INFO: Evaluation over. +[2024-05-16 03:39:25,204] - INFO: Epoch 546/9999, Iter 27260: Loss = 0.016785744577646255, lr = [0.0001] +[2024-05-16 03:39:43,083] - INFO: Epoch 546/9999, Iter 27280: Loss = 0.011718587949872017, lr = [0.0001] +[2024-05-16 03:40:01,935] - INFO: Epoch 547/9999, Iter 27300: Loss = 0.011393733322620392, lr = [0.0001] +[2024-05-16 03:40:19,496] - INFO: Epoch 547/9999, Iter 27320: Loss = 0.010421977378427982, lr = [0.0001] +[2024-05-16 03:40:36,986] - INFO: Epoch 547/9999, Iter 27340: Loss = 0.010472912341356277, lr = [0.0001] +[2024-05-16 03:40:56,392] - INFO: Epoch 548/9999, Iter 27360: Loss = 0.01849360764026642, lr = [0.0001] +[2024-05-16 03:41:13,955] - INFO: Epoch 548/9999, Iter 27380: Loss = 0.012082044966518879, lr = [0.0001] +[2024-05-16 03:41:33,161] - INFO: Epoch 549/9999, Iter 27400: Loss = 0.01639414392411709, lr = [0.0001] +[2024-05-16 03:41:51,335] - INFO: Epoch 549/9999, Iter 27420: Loss = 0.012286455370485783, lr = [0.0001] +[2024-05-16 03:42:09,402] - INFO: Epoch 549/9999, Iter 27440: Loss = 0.012234323658049107, lr = [0.0001] +[2024-05-16 03:42:28,408] - INFO: Epoch 550/9999, Iter 27460: Loss = 0.013727555051445961, lr = [0.0001] +[2024-05-16 03:42:46,398] - INFO: Epoch 550/9999, Iter 27480: Loss = 0.016782142221927643, lr = [0.0001] +[2024-05-16 03:43:02,793] - INFO: Evaluate at epoch 550! +[2024-05-16 03:43:06,301] - INFO: Eval PSNR (max): 37.630 (515) SSIM (max): 0.9595 (530) +[2024-05-16 03:43:06,301] - INFO: Eval PSNR (current): 37.566 (550) SSIM (current): 0.9593 (550) +[2024-05-16 03:43:06,301] - INFO: Evaluation over. +[2024-05-16 03:43:12,353] - INFO: Epoch 551/9999, Iter 27500: Loss = 0.014231771230697632, lr = [0.0001] +[2024-05-16 03:43:29,996] - INFO: Epoch 551/9999, Iter 27520: Loss = 0.011324935592710972, lr = [0.0001] +[2024-05-16 03:43:48,182] - INFO: Epoch 551/9999, Iter 27540: Loss = 0.013591575436294079, lr = [0.0001] +[2024-05-16 03:44:07,336] - INFO: Epoch 552/9999, Iter 27560: Loss = 0.010980605147778988, lr = [0.0001] +[2024-05-16 03:44:25,279] - INFO: Epoch 552/9999, Iter 27580: Loss = 0.01921134814620018, lr = [0.0001] +[2024-05-16 03:44:43,968] - INFO: Epoch 553/9999, Iter 27600: Loss = 0.01712624356150627, lr = [0.0001] +[2024-05-16 03:45:01,738] - INFO: Epoch 553/9999, Iter 27620: Loss = 0.017643090337514877, lr = [0.0001] +[2024-05-16 03:45:19,638] - INFO: Epoch 553/9999, Iter 27640: Loss = 0.009070135653018951, lr = [0.0001] +[2024-05-16 03:45:38,965] - INFO: Epoch 554/9999, Iter 27660: Loss = 0.013907748274505138, lr = [0.0001] +[2024-05-16 03:45:56,349] - INFO: Epoch 554/9999, Iter 27680: Loss = 0.012457928620278835, lr = [0.0001] +[2024-05-16 03:46:15,401] - INFO: Epoch 555/9999, Iter 27700: Loss = 0.015227613970637321, lr = [0.0001] +[2024-05-16 03:46:33,868] - INFO: Epoch 555/9999, Iter 27720: Loss = 0.012612034566700459, lr = [0.0001] +[2024-05-16 03:46:51,524] - INFO: Epoch 555/9999, Iter 27740: Loss = 0.013398779556155205, lr = [0.0001] +[2024-05-16 03:46:58,963] - INFO: Evaluate at epoch 555! +[2024-05-16 03:47:02,566] - INFO: Eval PSNR (max): 37.630 (515) SSIM (max): 0.9595 (530) +[2024-05-16 03:47:02,567] - INFO: Eval PSNR (current): 37.611 (555) SSIM (current): 0.9593 (555) +[2024-05-16 03:47:02,567] - INFO: Evaluation over. +[2024-05-16 03:47:17,492] - INFO: Epoch 556/9999, Iter 27760: Loss = 0.020246515050530434, lr = [0.0001] +[2024-05-16 03:47:34,803] - INFO: Epoch 556/9999, Iter 27780: Loss = 0.011765996925532818, lr = [0.0001] +[2024-05-16 03:47:53,896] - INFO: Epoch 557/9999, Iter 27800: Loss = 0.012494376860558987, lr = [0.0001] +[2024-05-16 03:48:11,402] - INFO: Epoch 557/9999, Iter 27820: Loss = 0.013768969103693962, lr = [0.0001] +[2024-05-16 03:48:28,972] - INFO: Epoch 557/9999, Iter 27840: Loss = 0.013921133242547512, lr = [0.0001] +[2024-05-16 03:48:48,595] - INFO: Epoch 558/9999, Iter 27860: Loss = 0.011263509280979633, lr = [0.0001] +[2024-05-16 03:49:06,300] - INFO: Epoch 558/9999, Iter 27880: Loss = 0.0111927455291152, lr = [0.0001] +[2024-05-16 03:49:25,631] - INFO: Epoch 559/9999, Iter 27900: Loss = 0.012454861775040627, lr = [0.0001] +[2024-05-16 03:49:43,987] - INFO: Epoch 559/9999, Iter 27920: Loss = 0.015029922127723694, lr = [0.0001] +[2024-05-16 03:50:01,737] - INFO: Epoch 559/9999, Iter 27940: Loss = 0.010392757132649422, lr = [0.0001] +[2024-05-16 03:50:20,302] - INFO: Epoch 560/9999, Iter 27960: Loss = 0.011080682277679443, lr = [0.0001] +[2024-05-16 03:50:37,732] - INFO: Epoch 560/9999, Iter 27980: Loss = 0.017680635675787926, lr = [0.0001] +[2024-05-16 03:50:54,315] - INFO: Evaluate at epoch 560! +[2024-05-16 03:51:01,332] - INFO: Eval PSNR (max): 37.634 (560) SSIM (max): 0.9595 (530) +[2024-05-16 03:51:01,333] - INFO: Eval PSNR (current): 37.634 (560) SSIM (current): 0.9595 (560) +[2024-05-16 03:51:01,333] - INFO: Evaluation over. +[2024-05-16 03:51:07,429] - INFO: Epoch 561/9999, Iter 28000: Loss = 0.013415314257144928, lr = [0.0001] +[2024-05-16 03:51:24,273] - INFO: Epoch 561/9999, Iter 28020: Loss = 0.01457209326326847, lr = [0.0001] +[2024-05-16 03:51:42,448] - INFO: Epoch 561/9999, Iter 28040: Loss = 0.01918969862163067, lr = [0.0001] +[2024-05-16 03:52:01,433] - INFO: Epoch 562/9999, Iter 28060: Loss = 0.011880630627274513, lr = [0.0001] +[2024-05-16 03:52:19,098] - INFO: Epoch 562/9999, Iter 28080: Loss = 0.011822282336652279, lr = [0.0001] +[2024-05-16 03:52:37,873] - INFO: Epoch 563/9999, Iter 28100: Loss = 0.015081268735229969, lr = [0.0001] +[2024-05-16 03:52:55,856] - INFO: Epoch 563/9999, Iter 28120: Loss = 0.016057875007390976, lr = [0.0001] +[2024-05-16 03:53:13,104] - INFO: Epoch 563/9999, Iter 28140: Loss = 0.010562073439359665, lr = [0.0001] +[2024-05-16 03:53:32,568] - INFO: Epoch 564/9999, Iter 28160: Loss = 0.011492512188851833, lr = [0.0001] +[2024-05-16 03:53:50,331] - INFO: Epoch 564/9999, Iter 28180: Loss = 0.01718975231051445, lr = [0.0001] +[2024-05-16 03:54:09,089] - INFO: Epoch 565/9999, Iter 28200: Loss = 0.011603486724197865, lr = [0.0001] +[2024-05-16 03:54:27,184] - INFO: Epoch 565/9999, Iter 28220: Loss = 0.009993098676204681, lr = [0.0001] +[2024-05-16 03:54:45,056] - INFO: Epoch 565/9999, Iter 28240: Loss = 0.009283298626542091, lr = [0.0001] +[2024-05-16 03:54:52,569] - INFO: Evaluate at epoch 565! +[2024-05-16 03:54:56,052] - INFO: Eval PSNR (max): 37.634 (560) SSIM (max): 0.9595 (530) +[2024-05-16 03:54:56,052] - INFO: Eval PSNR (current): 37.563 (565) SSIM (current): 0.9595 (565) +[2024-05-16 03:54:56,053] - INFO: Evaluation over. +[2024-05-16 03:55:10,853] - INFO: Epoch 566/9999, Iter 28260: Loss = 0.010155552066862583, lr = [0.0001] +[2024-05-16 03:55:28,538] - INFO: Epoch 566/9999, Iter 28280: Loss = 0.010292712599039078, lr = [0.0001] +[2024-05-16 03:55:47,922] - INFO: Epoch 567/9999, Iter 28300: Loss = 0.01022734958678484, lr = [0.0001] +[2024-05-16 03:56:05,943] - INFO: Epoch 567/9999, Iter 28320: Loss = 0.012136612087488174, lr = [0.0001] +[2024-05-16 03:56:23,660] - INFO: Epoch 567/9999, Iter 28340: Loss = 0.011700260452926159, lr = [0.0001] +[2024-05-16 03:56:42,253] - INFO: Epoch 568/9999, Iter 28360: Loss = 0.016634810715913773, lr = [0.0001] +[2024-05-16 03:56:59,404] - INFO: Epoch 568/9999, Iter 28380: Loss = 0.016860047355294228, lr = [0.0001] +[2024-05-16 03:57:18,621] - INFO: Epoch 569/9999, Iter 28400: Loss = 0.009445764124393463, lr = [0.0001] +[2024-05-16 03:57:36,620] - INFO: Epoch 569/9999, Iter 28420: Loss = 0.018944645300507545, lr = [0.0001] +[2024-05-16 03:57:54,633] - INFO: Epoch 569/9999, Iter 28440: Loss = 0.012490218505263329, lr = [0.0001] +[2024-05-16 03:58:13,532] - INFO: Epoch 570/9999, Iter 28460: Loss = 0.014267628081142902, lr = [0.0001] +[2024-05-16 03:58:30,668] - INFO: Epoch 570/9999, Iter 28480: Loss = 0.017305446788668633, lr = [0.0001] +[2024-05-16 03:58:47,043] - INFO: Evaluate at epoch 570! +[2024-05-16 03:58:54,168] - INFO: Eval PSNR (max): 37.649 (570) SSIM (max): 0.9595 (530) +[2024-05-16 03:58:54,169] - INFO: Eval PSNR (current): 37.649 (570) SSIM (current): 0.9594 (570) +[2024-05-16 03:58:54,169] - INFO: Evaluation over. +[2024-05-16 03:59:00,132] - INFO: Epoch 571/9999, Iter 28500: Loss = 0.012532470747828484, lr = [0.0001] +[2024-05-16 03:59:17,210] - INFO: Epoch 571/9999, Iter 28520: Loss = 0.017429286614060402, lr = [0.0001] +[2024-05-16 03:59:34,716] - INFO: Epoch 571/9999, Iter 28540: Loss = 0.011160077527165413, lr = [0.0001] +[2024-05-16 03:59:54,128] - INFO: Epoch 572/9999, Iter 28560: Loss = 0.013393741101026535, lr = [0.0001] +[2024-05-16 04:00:12,675] - INFO: Epoch 572/9999, Iter 28580: Loss = 0.014994834549725056, lr = [0.0001] +[2024-05-16 04:00:30,939] - INFO: Epoch 573/9999, Iter 28600: Loss = 0.014689890667796135, lr = [0.0001] +[2024-05-16 04:00:48,908] - INFO: Epoch 573/9999, Iter 28620: Loss = 0.00963242631405592, lr = [0.0001] +[2024-05-16 04:01:06,544] - INFO: Epoch 573/9999, Iter 28640: Loss = 0.010930347256362438, lr = [0.0001] +[2024-05-16 04:01:25,536] - INFO: Epoch 574/9999, Iter 28660: Loss = 0.015042245388031006, lr = [0.0001] +[2024-05-16 04:01:43,439] - INFO: Epoch 574/9999, Iter 28680: Loss = 0.015783129259943962, lr = [0.0001] +[2024-05-16 04:02:02,240] - INFO: Epoch 575/9999, Iter 28700: Loss = 0.011983008123934269, lr = [0.0001] +[2024-05-16 04:02:22,136] - INFO: Epoch 575/9999, Iter 28720: Loss = 0.01303847599774599, lr = [0.0001] +[2024-05-16 04:02:39,686] - INFO: Epoch 575/9999, Iter 28740: Loss = 0.013719569891691208, lr = [0.0001] +[2024-05-16 04:02:47,298] - INFO: Evaluate at epoch 575! +[2024-05-16 04:02:50,835] - INFO: Eval PSNR (max): 37.649 (570) SSIM (max): 0.9595 (530) +[2024-05-16 04:02:50,835] - INFO: Eval PSNR (current): 37.471 (575) SSIM (current): 0.9587 (575) +[2024-05-16 04:02:50,835] - INFO: Evaluation over. +[2024-05-16 04:03:05,355] - INFO: Epoch 576/9999, Iter 28760: Loss = 0.01065731793642044, lr = [0.0001] +[2024-05-16 04:03:22,728] - INFO: Epoch 576/9999, Iter 28780: Loss = 0.0144874919205904, lr = [0.0001] +[2024-05-16 04:03:41,816] - INFO: Epoch 577/9999, Iter 28800: Loss = 0.015272252261638641, lr = [0.0001] +[2024-05-16 04:04:00,321] - INFO: Epoch 577/9999, Iter 28820: Loss = 0.010306115262210369, lr = [0.0001] +[2024-05-16 04:04:18,286] - INFO: Epoch 577/9999, Iter 28840: Loss = 0.008399332873523235, lr = [0.0001] +[2024-05-16 04:04:36,313] - INFO: Epoch 578/9999, Iter 28860: Loss = 0.012239945121109486, lr = [0.0001] +[2024-05-16 04:04:53,664] - INFO: Epoch 578/9999, Iter 28880: Loss = 0.016530582681298256, lr = [0.0001] +[2024-05-16 04:05:13,057] - INFO: Epoch 579/9999, Iter 28900: Loss = 0.01997956447303295, lr = [0.0001] +[2024-05-16 04:05:31,466] - INFO: Epoch 579/9999, Iter 28920: Loss = 0.011268490925431252, lr = [0.0001] +[2024-05-16 04:05:49,442] - INFO: Epoch 579/9999, Iter 28940: Loss = 0.010211206041276455, lr = [0.0001] +[2024-05-16 04:06:08,178] - INFO: Epoch 580/9999, Iter 28960: Loss = 0.01673854887485504, lr = [0.0001] +[2024-05-16 04:06:25,675] - INFO: Epoch 580/9999, Iter 28980: Loss = 0.010173252783715725, lr = [0.0001] +[2024-05-16 04:06:42,543] - INFO: Evaluate at epoch 580! +[2024-05-16 04:06:46,106] - INFO: Eval PSNR (max): 37.649 (570) SSIM (max): 0.9595 (530) +[2024-05-16 04:06:46,106] - INFO: Eval PSNR (current): 37.570 (580) SSIM (current): 0.9594 (580) +[2024-05-16 04:06:46,106] - INFO: Evaluation over. +[2024-05-16 04:06:51,953] - INFO: Epoch 581/9999, Iter 29000: Loss = 0.017094561830163002, lr = [0.0001] +[2024-05-16 04:07:10,543] - INFO: Epoch 581/9999, Iter 29020: Loss = 0.021490100771188736, lr = [0.0001] +[2024-05-16 04:07:28,136] - INFO: Epoch 581/9999, Iter 29040: Loss = 0.009265224449336529, lr = [0.0001] +[2024-05-16 04:07:46,847] - INFO: Epoch 582/9999, Iter 29060: Loss = 0.0075567918829619884, lr = [0.0001] +[2024-05-16 04:08:04,963] - INFO: Epoch 582/9999, Iter 29080: Loss = 0.01858188584446907, lr = [0.0001] +[2024-05-16 04:08:23,864] - INFO: Epoch 583/9999, Iter 29100: Loss = 0.01463045459240675, lr = [0.0001] +[2024-05-16 04:08:41,104] - INFO: Epoch 583/9999, Iter 29120: Loss = 0.013356736861169338, lr = [0.0001] +[2024-05-16 04:08:58,267] - INFO: Epoch 583/9999, Iter 29140: Loss = 0.012177527882158756, lr = [0.0001] +[2024-05-16 04:09:16,945] - INFO: Epoch 584/9999, Iter 29160: Loss = 0.007059065159410238, lr = [0.0001] +[2024-05-16 04:09:34,644] - INFO: Epoch 584/9999, Iter 29180: Loss = 0.013970430009067059, lr = [0.0001] +[2024-05-16 04:09:54,027] - INFO: Epoch 585/9999, Iter 29200: Loss = 0.020944206044077873, lr = [0.0001] +[2024-05-16 04:10:12,012] - INFO: Epoch 585/9999, Iter 29220: Loss = 0.02184917777776718, lr = [0.0001] +[2024-05-16 04:10:30,252] - INFO: Epoch 585/9999, Iter 29240: Loss = 0.010893239639699459, lr = [0.0001] +[2024-05-16 04:10:37,777] - INFO: Evaluate at epoch 585! +[2024-05-16 04:10:41,445] - INFO: Eval PSNR (max): 37.649 (570) SSIM (max): 0.9595 (530) +[2024-05-16 04:10:41,446] - INFO: Eval PSNR (current): 37.556 (585) SSIM (current): 0.9594 (585) +[2024-05-16 04:10:41,446] - INFO: Evaluation over. +[2024-05-16 04:10:55,932] - INFO: Epoch 586/9999, Iter 29260: Loss = 0.014261041767895222, lr = [0.0001] +[2024-05-16 04:11:12,840] - INFO: Epoch 586/9999, Iter 29280: Loss = 0.014865264296531677, lr = [0.0001] +[2024-05-16 04:11:32,663] - INFO: Epoch 587/9999, Iter 29300: Loss = 0.011899445205926895, lr = [0.0001] +[2024-05-16 04:11:50,200] - INFO: Epoch 587/9999, Iter 29320: Loss = 0.01612868718802929, lr = [0.0001] +[2024-05-16 04:12:07,184] - INFO: Epoch 587/9999, Iter 29340: Loss = 0.014359262771904469, lr = [0.0001] +[2024-05-16 04:12:26,320] - INFO: Epoch 588/9999, Iter 29360: Loss = 0.013787472620606422, lr = [0.0001] +[2024-05-16 04:12:43,767] - INFO: Epoch 588/9999, Iter 29380: Loss = 0.02002551592886448, lr = [0.0001] +[2024-05-16 04:13:02,260] - INFO: Epoch 589/9999, Iter 29400: Loss = 0.009548651985824108, lr = [0.0001] +[2024-05-16 04:13:19,450] - INFO: Epoch 589/9999, Iter 29420: Loss = 0.013369912281632423, lr = [0.0001] +[2024-05-16 04:13:37,590] - INFO: Epoch 589/9999, Iter 29440: Loss = 0.013844741508364677, lr = [0.0001] +[2024-05-16 04:13:56,643] - INFO: Epoch 590/9999, Iter 29460: Loss = 0.015359543263912201, lr = [0.0001] +[2024-05-16 04:14:13,940] - INFO: Epoch 590/9999, Iter 29480: Loss = 0.011106782592833042, lr = [0.0001] +[2024-05-16 04:14:30,432] - INFO: Evaluate at epoch 590! +[2024-05-16 04:14:34,042] - INFO: Eval PSNR (max): 37.649 (570) SSIM (max): 0.9595 (530) +[2024-05-16 04:14:34,042] - INFO: Eval PSNR (current): 37.612 (590) SSIM (current): 0.9595 (590) +[2024-05-16 04:14:34,042] - INFO: Evaluation over. +[2024-05-16 04:14:39,976] - INFO: Epoch 591/9999, Iter 29500: Loss = 0.015879936516284943, lr = [0.0001] +[2024-05-16 04:14:58,296] - INFO: Epoch 591/9999, Iter 29520: Loss = 0.011182023212313652, lr = [0.0001] +[2024-05-16 04:15:15,971] - INFO: Epoch 591/9999, Iter 29540: Loss = 0.018186941742897034, lr = [0.0001] +[2024-05-16 04:15:34,936] - INFO: Epoch 592/9999, Iter 29560: Loss = 0.012367509305477142, lr = [0.0001] +[2024-05-16 04:15:52,728] - INFO: Epoch 592/9999, Iter 29580: Loss = 0.014165375381708145, lr = [0.0001] +[2024-05-16 04:16:12,130] - INFO: Epoch 593/9999, Iter 29600: Loss = 0.012886065058410168, lr = [0.0001] +[2024-05-16 04:16:29,967] - INFO: Epoch 593/9999, Iter 29620: Loss = 0.020131725817918777, lr = [0.0001] +[2024-05-16 04:16:48,253] - INFO: Epoch 593/9999, Iter 29640: Loss = 0.009336148388683796, lr = [0.0001] +[2024-05-16 04:17:06,943] - INFO: Epoch 594/9999, Iter 29660: Loss = 0.014357955195009708, lr = [0.0001] +[2024-05-16 04:17:24,872] - INFO: Epoch 594/9999, Iter 29680: Loss = 0.017363721504807472, lr = [0.0001] +[2024-05-16 04:17:44,272] - INFO: Epoch 595/9999, Iter 29700: Loss = 0.01586177758872509, lr = [0.0001] +[2024-05-16 04:18:01,589] - INFO: Epoch 595/9999, Iter 29720: Loss = 0.017316538840532303, lr = [0.0001] +[2024-05-16 04:18:19,488] - INFO: Epoch 595/9999, Iter 29740: Loss = 0.018538236618041992, lr = [0.0001] +[2024-05-16 04:18:27,328] - INFO: Evaluate at epoch 595! +[2024-05-16 04:18:30,793] - INFO: Eval PSNR (max): 37.649 (570) SSIM (max): 0.9595 (530) +[2024-05-16 04:18:30,793] - INFO: Eval PSNR (current): 37.384 (595) SSIM (current): 0.9587 (595) +[2024-05-16 04:18:30,793] - INFO: Evaluation over. +[2024-05-16 04:18:45,602] - INFO: Epoch 596/9999, Iter 29760: Loss = 0.018621105700731277, lr = [0.0001] +[2024-05-16 04:19:03,268] - INFO: Epoch 596/9999, Iter 29780: Loss = 0.009292103350162506, lr = [0.0001] +[2024-05-16 04:19:22,488] - INFO: Epoch 597/9999, Iter 29800: Loss = 0.009282794781029224, lr = [0.0001] +[2024-05-16 04:19:40,656] - INFO: Epoch 597/9999, Iter 29820: Loss = 0.013162517920136452, lr = [0.0001] +[2024-05-16 04:19:58,676] - INFO: Epoch 597/9999, Iter 29840: Loss = 0.016594501212239265, lr = [0.0001] +[2024-05-16 04:20:17,545] - INFO: Epoch 598/9999, Iter 29860: Loss = 0.011829336173832417, lr = [0.0001] +[2024-05-16 04:20:34,724] - INFO: Epoch 598/9999, Iter 29880: Loss = 0.012905088253319263, lr = [0.0001] +[2024-05-16 04:20:53,840] - INFO: Epoch 599/9999, Iter 29900: Loss = 0.012524222955107689, lr = [0.0001] +[2024-05-16 04:21:11,407] - INFO: Epoch 599/9999, Iter 29920: Loss = 0.01199160236865282, lr = [0.0001] +[2024-05-16 04:21:28,376] - INFO: Epoch 599/9999, Iter 29940: Loss = 0.016221286728978157, lr = [0.0001] +[2024-05-16 04:21:48,014] - INFO: Epoch 600/9999, Iter 29960: Loss = 0.01593264378607273, lr = [0.0001] +[2024-05-16 04:22:05,940] - INFO: Epoch 600/9999, Iter 29980: Loss = 0.012399397790431976, lr = [0.0001] +[2024-05-16 04:22:22,416] - INFO: Evaluate at epoch 600! +[2024-05-16 04:22:26,152] - INFO: Eval PSNR (max): 37.649 (570) SSIM (max): 0.9595 (530) +[2024-05-16 04:22:26,153] - INFO: Eval PSNR (current): 37.621 (600) SSIM (current): 0.9594 (600) +[2024-05-16 04:22:26,153] - INFO: Evaluation over. +[2024-05-16 04:22:32,372] - INFO: Epoch 601/9999, Iter 30000: Loss = 0.014361132867634296, lr = [0.0001] +[2024-05-16 04:22:50,940] - INFO: Epoch 601/9999, Iter 30020: Loss = 0.01680803671479225, lr = [0.0001] +[2024-05-16 04:23:08,532] - INFO: Epoch 601/9999, Iter 30040: Loss = 0.012868172489106655, lr = [0.0001] +[2024-05-16 04:23:27,020] - INFO: Epoch 602/9999, Iter 30060: Loss = 0.014184744097292423, lr = [0.0001] +[2024-05-16 04:23:44,893] - INFO: Epoch 602/9999, Iter 30080: Loss = 0.01599198952317238, lr = [0.0001] +[2024-05-16 04:24:03,672] - INFO: Epoch 603/9999, Iter 30100: Loss = 0.010255358181893826, lr = [0.0001] +[2024-05-16 04:24:20,820] - INFO: Epoch 603/9999, Iter 30120: Loss = 0.01887434534728527, lr = [0.0001] +[2024-05-16 04:24:38,060] - INFO: Epoch 603/9999, Iter 30140: Loss = 0.016938352957367897, lr = [0.0001] +[2024-05-16 04:24:57,370] - INFO: Epoch 604/9999, Iter 30160: Loss = 0.008217988535761833, lr = [0.0001] +[2024-05-16 04:25:14,978] - INFO: Epoch 604/9999, Iter 30180: Loss = 0.009584508836269379, lr = [0.0001] +[2024-05-16 04:25:33,904] - INFO: Epoch 605/9999, Iter 30200: Loss = 0.01270628534257412, lr = [0.0001] +[2024-05-16 04:25:52,332] - INFO: Epoch 605/9999, Iter 30220: Loss = 0.009034187532961369, lr = [0.0001] +[2024-05-16 04:26:09,882] - INFO: Epoch 605/9999, Iter 30240: Loss = 0.013143197633326054, lr = [0.0001] +[2024-05-16 04:26:17,643] - INFO: Evaluate at epoch 605! +[2024-05-16 04:26:21,153] - INFO: Eval PSNR (max): 37.649 (570) SSIM (max): 0.9595 (530) +[2024-05-16 04:26:21,153] - INFO: Eval PSNR (current): 37.539 (605) SSIM (current): 0.9592 (605) +[2024-05-16 04:26:21,153] - INFO: Evaluation over. +[2024-05-16 04:26:35,940] - INFO: Epoch 606/9999, Iter 30260: Loss = 0.01051271427422762, lr = [0.0001] +[2024-05-16 04:26:53,306] - INFO: Epoch 606/9999, Iter 30280: Loss = 0.026053380221128464, lr = [0.0001] +[2024-05-16 04:27:12,420] - INFO: Epoch 607/9999, Iter 30300: Loss = 0.012927019968628883, lr = [0.0001] +[2024-05-16 04:27:30,264] - INFO: Epoch 607/9999, Iter 30320: Loss = 0.01655028574168682, lr = [0.0001] +[2024-05-16 04:27:47,963] - INFO: Epoch 607/9999, Iter 30340: Loss = 0.011594723910093307, lr = [0.0001] +[2024-05-16 04:28:07,022] - INFO: Epoch 608/9999, Iter 30360: Loss = 0.01815146952867508, lr = [0.0001] +[2024-05-16 04:28:25,693] - INFO: Epoch 608/9999, Iter 30380: Loss = 0.018316710367798805, lr = [0.0001] +[2024-05-16 04:28:44,316] - INFO: Epoch 609/9999, Iter 30400: Loss = 0.01658967323601246, lr = [0.0001] +[2024-05-16 04:29:01,828] - INFO: Epoch 609/9999, Iter 30420: Loss = 0.01461334340274334, lr = [0.0001] +[2024-05-16 04:29:19,740] - INFO: Epoch 609/9999, Iter 30440: Loss = 0.01263884361833334, lr = [0.0001] +[2024-05-16 04:29:38,788] - INFO: Epoch 610/9999, Iter 30460: Loss = 0.023798955604434013, lr = [0.0001] +[2024-05-16 04:29:56,040] - INFO: Epoch 610/9999, Iter 30480: Loss = 0.019337154924869537, lr = [0.0001] +[2024-05-16 04:30:12,188] - INFO: Evaluate at epoch 610! +[2024-05-16 04:30:19,295] - INFO: Eval PSNR (max): 37.649 (570) SSIM (max): 0.9595 (610) +[2024-05-16 04:30:19,296] - INFO: Eval PSNR (current): 37.578 (610) SSIM (current): 0.9595 (610) +[2024-05-16 04:30:19,296] - INFO: Evaluation over. +[2024-05-16 04:30:25,178] - INFO: Epoch 611/9999, Iter 30500: Loss = 0.01841098815202713, lr = [0.0001] +[2024-05-16 04:30:43,911] - INFO: Epoch 611/9999, Iter 30520: Loss = 0.018180735409259796, lr = [0.0001] +[2024-05-16 04:31:01,881] - INFO: Epoch 611/9999, Iter 30540: Loss = 0.012292539700865746, lr = [0.0001] +[2024-05-16 04:31:20,374] - INFO: Epoch 612/9999, Iter 30560: Loss = 0.014095689170062542, lr = [0.0001] +[2024-05-16 04:31:37,908] - INFO: Epoch 612/9999, Iter 30580: Loss = 0.011606208048760891, lr = [0.0001] +[2024-05-16 04:31:56,959] - INFO: Epoch 613/9999, Iter 30600: Loss = 0.012517046183347702, lr = [0.0001] +[2024-05-16 04:32:14,831] - INFO: Epoch 613/9999, Iter 30620: Loss = 0.015293505974113941, lr = [0.0001] +[2024-05-16 04:32:33,096] - INFO: Epoch 613/9999, Iter 30640: Loss = 0.014756595715880394, lr = [0.0001] +[2024-05-16 04:32:52,831] - INFO: Epoch 614/9999, Iter 30660: Loss = 0.0202427227050066, lr = [0.0001] +[2024-05-16 04:33:10,894] - INFO: Epoch 614/9999, Iter 30680: Loss = 0.01873943954706192, lr = [0.0001] +[2024-05-16 04:33:29,792] - INFO: Epoch 615/9999, Iter 30700: Loss = 0.015230880118906498, lr = [0.0001] +[2024-05-16 04:33:46,773] - INFO: Epoch 615/9999, Iter 30720: Loss = 0.011549269780516624, lr = [0.0001] +[2024-05-16 04:34:04,656] - INFO: Epoch 615/9999, Iter 30740: Loss = 0.014939727261662483, lr = [0.0001] +[2024-05-16 04:34:12,741] - INFO: Evaluate at epoch 615! +[2024-05-16 04:34:23,280] - INFO: Eval PSNR (max): 37.748 (615) SSIM (max): 0.9598 (615) +[2024-05-16 04:34:23,280] - INFO: Eval PSNR (current): 37.748 (615) SSIM (current): 0.9598 (615) +[2024-05-16 04:34:23,280] - INFO: Evaluation over. +[2024-05-16 04:34:37,748] - INFO: Epoch 616/9999, Iter 30760: Loss = 0.015630805864930153, lr = [0.0001] +[2024-05-16 04:34:55,305] - INFO: Epoch 616/9999, Iter 30780: Loss = 0.014751989394426346, lr = [0.0001] +[2024-05-16 04:35:15,321] - INFO: Epoch 617/9999, Iter 30800: Loss = 0.009563601575791836, lr = [0.0001] +[2024-05-16 04:35:32,397] - INFO: Epoch 617/9999, Iter 30820: Loss = 0.01003795675933361, lr = [0.0001] +[2024-05-16 04:35:49,986] - INFO: Epoch 617/9999, Iter 30840: Loss = 0.012985505163669586, lr = [0.0001] +[2024-05-16 04:36:08,452] - INFO: Epoch 618/9999, Iter 30860: Loss = 0.017291460186243057, lr = [0.0001] +[2024-05-16 04:36:25,720] - INFO: Epoch 618/9999, Iter 30880: Loss = 0.01612335443496704, lr = [0.0001] +[2024-05-16 04:36:45,462] - INFO: Epoch 619/9999, Iter 30900: Loss = 0.012208521366119385, lr = [0.0001] +[2024-05-16 04:37:02,928] - INFO: Epoch 619/9999, Iter 30920: Loss = 0.013513736426830292, lr = [0.0001] +[2024-05-16 04:37:20,863] - INFO: Epoch 619/9999, Iter 30940: Loss = 0.013745199888944626, lr = [0.0001] +[2024-05-16 04:37:39,857] - INFO: Epoch 620/9999, Iter 30960: Loss = 0.011794707737863064, lr = [0.0001] +[2024-05-16 04:37:58,331] - INFO: Epoch 620/9999, Iter 30980: Loss = 0.007982899434864521, lr = [0.0001] +[2024-05-16 04:38:14,617] - INFO: Evaluate at epoch 620! +[2024-05-16 04:38:18,369] - INFO: Eval PSNR (max): 37.748 (615) SSIM (max): 0.9598 (615) +[2024-05-16 04:38:18,370] - INFO: Eval PSNR (current): 37.715 (620) SSIM (current): 0.9597 (620) +[2024-05-16 04:38:18,370] - INFO: Evaluation over. +[2024-05-16 04:38:24,380] - INFO: Epoch 621/9999, Iter 31000: Loss = 0.01183976512402296, lr = [0.0001] +[2024-05-16 04:38:42,800] - INFO: Epoch 621/9999, Iter 31020: Loss = 0.01830538548529148, lr = [0.0001] +[2024-05-16 04:39:00,216] - INFO: Epoch 621/9999, Iter 31040: Loss = 0.011883608065545559, lr = [0.0001] +[2024-05-16 04:39:19,320] - INFO: Epoch 622/9999, Iter 31060: Loss = 0.014448431320488453, lr = [0.0001] +[2024-05-16 04:39:37,516] - INFO: Epoch 622/9999, Iter 31080: Loss = 0.014750833623111248, lr = [0.0001] +[2024-05-16 04:39:56,291] - INFO: Epoch 623/9999, Iter 31100: Loss = 0.011485232971608639, lr = [0.0001] +[2024-05-16 04:40:13,231] - INFO: Epoch 623/9999, Iter 31120: Loss = 0.010245976969599724, lr = [0.0001] +[2024-05-16 04:40:31,000] - INFO: Epoch 623/9999, Iter 31140: Loss = 0.013915530405938625, lr = [0.0001] +[2024-05-16 04:40:50,177] - INFO: Epoch 624/9999, Iter 31160: Loss = 0.014468123205006123, lr = [0.0001] +[2024-05-16 04:41:08,100] - INFO: Epoch 624/9999, Iter 31180: Loss = 0.019228963181376457, lr = [0.0001] +[2024-05-16 04:41:27,277] - INFO: Epoch 625/9999, Iter 31200: Loss = 0.01511215977370739, lr = [0.0001] +[2024-05-16 04:41:45,582] - INFO: Epoch 625/9999, Iter 31220: Loss = 0.013406457379460335, lr = [0.0001] +[2024-05-16 04:42:03,211] - INFO: Epoch 625/9999, Iter 31240: Loss = 0.015845956280827522, lr = [0.0001] +[2024-05-16 04:42:10,669] - INFO: Evaluate at epoch 625! +[2024-05-16 04:42:14,292] - INFO: Eval PSNR (max): 37.748 (615) SSIM (max): 0.9598 (615) +[2024-05-16 04:42:14,292] - INFO: Eval PSNR (current): 37.634 (625) SSIM (current): 0.9594 (625) +[2024-05-16 04:42:14,292] - INFO: Evaluation over. +[2024-05-16 04:42:29,388] - INFO: Epoch 626/9999, Iter 31260: Loss = 0.008102898485958576, lr = [0.0001] +[2024-05-16 04:42:47,584] - INFO: Epoch 626/9999, Iter 31280: Loss = 0.014062438160181046, lr = [0.0001] +[2024-05-16 04:43:06,516] - INFO: Epoch 627/9999, Iter 31300: Loss = 0.009531526826322079, lr = [0.0001] +[2024-05-16 04:43:24,187] - INFO: Epoch 627/9999, Iter 31320: Loss = 0.014041240327060223, lr = [0.0001] +[2024-05-16 04:43:41,550] - INFO: Epoch 627/9999, Iter 31340: Loss = 0.01466066762804985, lr = [0.0001] +[2024-05-16 04:44:00,895] - INFO: Epoch 628/9999, Iter 31360: Loss = 0.019082220271229744, lr = [0.0001] +[2024-05-16 04:44:17,877] - INFO: Epoch 628/9999, Iter 31380: Loss = 0.01732540689408779, lr = [0.0001] +[2024-05-16 04:44:37,060] - INFO: Epoch 629/9999, Iter 31400: Loss = 0.01236219983547926, lr = [0.0001] +[2024-05-16 04:44:53,803] - INFO: Epoch 629/9999, Iter 31420: Loss = 0.008911801502108574, lr = [0.0001] +[2024-05-16 04:45:11,219] - INFO: Epoch 629/9999, Iter 31440: Loss = 0.014427172020077705, lr = [0.0001] +[2024-05-16 04:45:30,244] - INFO: Epoch 630/9999, Iter 31460: Loss = 0.01981985569000244, lr = [0.0001] +[2024-05-16 04:45:48,565] - INFO: Epoch 630/9999, Iter 31480: Loss = 0.017192939296364784, lr = [0.0001] +[2024-05-16 04:46:05,101] - INFO: Evaluate at epoch 630! +[2024-05-16 04:46:08,708] - INFO: Eval PSNR (max): 37.748 (615) SSIM (max): 0.9598 (615) +[2024-05-16 04:46:08,708] - INFO: Eval PSNR (current): 37.674 (630) SSIM (current): 0.9596 (630) +[2024-05-16 04:46:08,708] - INFO: Evaluation over. +[2024-05-16 04:46:14,553] - INFO: Epoch 631/9999, Iter 31500: Loss = 0.010859191417694092, lr = [0.0001] +[2024-05-16 04:46:32,764] - INFO: Epoch 631/9999, Iter 31520: Loss = 0.009162564761936665, lr = [0.0001] +[2024-05-16 04:46:50,720] - INFO: Epoch 631/9999, Iter 31540: Loss = 0.014716396108269691, lr = [0.0001] +[2024-05-16 04:47:09,718] - INFO: Epoch 632/9999, Iter 31560: Loss = 0.01526659820228815, lr = [0.0001] +[2024-05-16 04:47:27,631] - INFO: Epoch 632/9999, Iter 31580: Loss = 0.012617513537406921, lr = [0.0001] +[2024-05-16 04:47:46,261] - INFO: Epoch 633/9999, Iter 31600: Loss = 0.014563290402293205, lr = [0.0001] +[2024-05-16 04:48:04,760] - INFO: Epoch 633/9999, Iter 31620: Loss = 0.012715249322354794, lr = [0.0001] +[2024-05-16 04:48:22,203] - INFO: Epoch 633/9999, Iter 31640: Loss = 0.01569642871618271, lr = [0.0001] +[2024-05-16 04:48:41,307] - INFO: Epoch 634/9999, Iter 31660: Loss = 0.01122993417084217, lr = [0.0001] +[2024-05-16 04:48:59,280] - INFO: Epoch 634/9999, Iter 31680: Loss = 0.02987898699939251, lr = [0.0001] +[2024-05-16 04:49:18,616] - INFO: Epoch 635/9999, Iter 31700: Loss = 0.01301590632647276, lr = [0.0001] +[2024-05-16 04:49:35,487] - INFO: Epoch 635/9999, Iter 31720: Loss = 0.01154270488768816, lr = [0.0001] +[2024-05-16 04:49:53,161] - INFO: Epoch 635/9999, Iter 31740: Loss = 0.010045764036476612, lr = [0.0001] +[2024-05-16 04:50:01,261] - INFO: Evaluate at epoch 635! +[2024-05-16 04:50:04,766] - INFO: Eval PSNR (max): 37.748 (615) SSIM (max): 0.9598 (615) +[2024-05-16 04:50:04,766] - INFO: Eval PSNR (current): 37.430 (635) SSIM (current): 0.9586 (635) +[2024-05-16 04:50:04,766] - INFO: Evaluation over. +[2024-05-16 04:50:19,812] - INFO: Epoch 636/9999, Iter 31760: Loss = 0.018263675272464752, lr = [0.0001] +[2024-05-16 04:50:37,755] - INFO: Epoch 636/9999, Iter 31780: Loss = 0.012782670557498932, lr = [0.0001] +[2024-05-16 04:50:56,768] - INFO: Epoch 637/9999, Iter 31800: Loss = 0.01894075982272625, lr = [0.0001] +[2024-05-16 04:51:13,427] - INFO: Epoch 637/9999, Iter 31820: Loss = 0.012940547429025173, lr = [0.0001] +[2024-05-16 04:51:30,916] - INFO: Epoch 637/9999, Iter 31840: Loss = 0.008705238811671734, lr = [0.0001] +[2024-05-16 04:51:49,892] - INFO: Epoch 638/9999, Iter 31860: Loss = 0.014838592149317265, lr = [0.0001] +[2024-05-16 04:52:07,333] - INFO: Epoch 638/9999, Iter 31880: Loss = 0.011894943192601204, lr = [0.0001] +[2024-05-16 04:52:26,432] - INFO: Epoch 639/9999, Iter 31900: Loss = 0.010088687762618065, lr = [0.0001] +[2024-05-16 04:52:44,532] - INFO: Epoch 639/9999, Iter 31920: Loss = 0.012629330158233643, lr = [0.0001] +[2024-05-16 04:53:02,793] - INFO: Epoch 639/9999, Iter 31940: Loss = 0.013275409117341042, lr = [0.0001] +[2024-05-16 04:53:21,124] - INFO: Epoch 640/9999, Iter 31960: Loss = 0.008815484121441841, lr = [0.0001] +[2024-05-16 04:53:39,332] - INFO: Epoch 640/9999, Iter 31980: Loss = 0.011134613305330276, lr = [0.0001] +[2024-05-16 04:53:56,041] - INFO: Evaluate at epoch 640! +[2024-05-16 04:53:59,572] - INFO: Eval PSNR (max): 37.748 (615) SSIM (max): 0.9598 (615) +[2024-05-16 04:53:59,572] - INFO: Eval PSNR (current): 37.703 (640) SSIM (current): 0.9596 (640) +[2024-05-16 04:53:59,572] - INFO: Evaluation over. +[2024-05-16 04:54:05,512] - INFO: Epoch 641/9999, Iter 32000: Loss = 0.013055015355348587, lr = [0.0001] +[2024-05-16 04:54:22,623] - INFO: Epoch 641/9999, Iter 32020: Loss = 0.009300122037529945, lr = [0.0001] +[2024-05-16 04:54:40,264] - INFO: Epoch 641/9999, Iter 32040: Loss = 0.014220010489225388, lr = [0.0001] +[2024-05-16 04:54:59,002] - INFO: Epoch 642/9999, Iter 32060: Loss = 0.01055475790053606, lr = [0.0001] +[2024-05-16 04:55:16,128] - INFO: Epoch 642/9999, Iter 32080: Loss = 0.015849728137254715, lr = [0.0001] +[2024-05-16 04:55:35,488] - INFO: Epoch 643/9999, Iter 32100: Loss = 0.014233995229005814, lr = [0.0001] +[2024-05-16 04:55:53,652] - INFO: Epoch 643/9999, Iter 32120: Loss = 0.015951327979564667, lr = [0.0001] +[2024-05-16 04:56:11,467] - INFO: Epoch 643/9999, Iter 32140: Loss = 0.00936601310968399, lr = [0.0001] +[2024-05-16 04:56:30,501] - INFO: Epoch 644/9999, Iter 32160: Loss = 0.013405914418399334, lr = [0.0001] +[2024-05-16 04:56:48,280] - INFO: Epoch 644/9999, Iter 32180: Loss = 0.012199786491692066, lr = [0.0001] +[2024-05-16 04:57:07,244] - INFO: Epoch 645/9999, Iter 32200: Loss = 0.009788496419787407, lr = [0.0001] +[2024-05-16 04:57:24,845] - INFO: Epoch 645/9999, Iter 32220: Loss = 0.00839278381317854, lr = [0.0001] +[2024-05-16 04:57:43,034] - INFO: Epoch 645/9999, Iter 32240: Loss = 0.02049768902361393, lr = [0.0001] +[2024-05-16 04:57:50,285] - INFO: Evaluate at epoch 645! +[2024-05-16 04:57:57,248] - INFO: Eval PSNR (max): 37.748 (615) SSIM (max): 0.9598 (645) +[2024-05-16 04:57:57,249] - INFO: Eval PSNR (current): 37.647 (645) SSIM (current): 0.9598 (645) +[2024-05-16 04:57:57,249] - INFO: Evaluation over. +[2024-05-16 04:58:12,207] - INFO: Epoch 646/9999, Iter 32260: Loss = 0.012087786570191383, lr = [0.0001] +[2024-05-16 04:58:30,000] - INFO: Epoch 646/9999, Iter 32280: Loss = 0.017494548112154007, lr = [0.0001] +[2024-05-16 04:58:49,384] - INFO: Epoch 647/9999, Iter 32300: Loss = 0.011463852599263191, lr = [0.0001] +[2024-05-16 04:59:06,847] - INFO: Epoch 647/9999, Iter 32320: Loss = 0.007355364505201578, lr = [0.0001] +[2024-05-16 04:59:23,928] - INFO: Epoch 647/9999, Iter 32340: Loss = 0.01482321321964264, lr = [0.0001] +[2024-05-16 04:59:42,541] - INFO: Epoch 648/9999, Iter 32360: Loss = 0.01683405600488186, lr = [0.0001] +[2024-05-16 04:59:59,995] - INFO: Epoch 648/9999, Iter 32380: Loss = 0.010999011807143688, lr = [0.0001] +[2024-05-16 05:00:18,715] - INFO: Epoch 649/9999, Iter 32400: Loss = 0.014046813361346722, lr = [0.0001] +[2024-05-16 05:00:36,419] - INFO: Epoch 649/9999, Iter 32420: Loss = 0.014812303707003593, lr = [0.0001] +[2024-05-16 05:00:54,340] - INFO: Epoch 649/9999, Iter 32440: Loss = 0.01668275147676468, lr = [0.0001] +[2024-05-16 05:01:13,545] - INFO: Epoch 650/9999, Iter 32460: Loss = 0.007196363527327776, lr = [0.0001] +[2024-05-16 05:01:31,076] - INFO: Epoch 650/9999, Iter 32480: Loss = 0.007288063410669565, lr = [0.0001] +[2024-05-16 05:01:48,108] - INFO: Evaluate at epoch 650! +[2024-05-16 05:01:51,705] - INFO: Eval PSNR (max): 37.748 (615) SSIM (max): 0.9598 (645) +[2024-05-16 05:01:51,706] - INFO: Eval PSNR (current): 37.405 (650) SSIM (current): 0.9594 (650) +[2024-05-16 05:01:51,706] - INFO: Evaluation over. +[2024-05-16 05:01:57,755] - INFO: Epoch 651/9999, Iter 32500: Loss = 0.010916927829384804, lr = [0.0001] +[2024-05-16 05:02:15,917] - INFO: Epoch 651/9999, Iter 32520: Loss = 0.015363113954663277, lr = [0.0001] +[2024-05-16 05:02:33,779] - INFO: Epoch 651/9999, Iter 32540: Loss = 0.012939627282321453, lr = [0.0001] +[2024-05-16 05:02:53,029] - INFO: Epoch 652/9999, Iter 32560: Loss = 0.013252036646008492, lr = [0.0001] +[2024-05-16 05:03:10,978] - INFO: Epoch 652/9999, Iter 32580: Loss = 0.011925260536372662, lr = [0.0001] +[2024-05-16 05:03:29,884] - INFO: Epoch 653/9999, Iter 32600: Loss = 0.017851626500487328, lr = [0.0001] +[2024-05-16 05:03:48,012] - INFO: Epoch 653/9999, Iter 32620: Loss = 0.011252866126596928, lr = [0.0001] +[2024-05-16 05:04:05,738] - INFO: Epoch 653/9999, Iter 32640: Loss = 0.01871386729180813, lr = [0.0001] +[2024-05-16 05:04:23,883] - INFO: Epoch 654/9999, Iter 32660: Loss = 0.013923131860792637, lr = [0.0001] +[2024-05-16 05:04:41,565] - INFO: Epoch 654/9999, Iter 32680: Loss = 0.01968243345618248, lr = [0.0001] +[2024-05-16 05:05:00,704] - INFO: Epoch 655/9999, Iter 32700: Loss = 0.019858943298459053, lr = [0.0001] +[2024-05-16 05:05:18,352] - INFO: Epoch 655/9999, Iter 32720: Loss = 0.015923282131552696, lr = [0.0001] +[2024-05-16 05:05:36,822] - INFO: Epoch 655/9999, Iter 32740: Loss = 0.010122282430529594, lr = [0.0001] +[2024-05-16 05:05:44,277] - INFO: Evaluate at epoch 655! +[2024-05-16 05:05:47,909] - INFO: Eval PSNR (max): 37.748 (615) SSIM (max): 0.9598 (645) +[2024-05-16 05:05:47,909] - INFO: Eval PSNR (current): 37.647 (655) SSIM (current): 0.9597 (655) +[2024-05-16 05:05:47,909] - INFO: Evaluation over. +[2024-05-16 05:06:02,541] - INFO: Epoch 656/9999, Iter 32760: Loss = 0.012983698397874832, lr = [0.0001] +[2024-05-16 05:06:20,012] - INFO: Epoch 656/9999, Iter 32780: Loss = 0.011328191496431828, lr = [0.0001] +[2024-05-16 05:06:39,097] - INFO: Epoch 657/9999, Iter 32800: Loss = 0.012643920257687569, lr = [0.0001] +[2024-05-16 05:06:56,636] - INFO: Epoch 657/9999, Iter 32820: Loss = 0.010808266699314117, lr = [0.0001] +[2024-05-16 05:07:15,252] - INFO: Epoch 657/9999, Iter 32840: Loss = 0.008604790084064007, lr = [0.0001] +[2024-05-16 05:07:33,748] - INFO: Epoch 658/9999, Iter 32860: Loss = 0.012870144098997116, lr = [0.0001] +[2024-05-16 05:07:50,734] - INFO: Epoch 658/9999, Iter 32880: Loss = 0.013034028001129627, lr = [0.0001] +[2024-05-16 05:08:09,924] - INFO: Epoch 659/9999, Iter 32900: Loss = 0.01093173585832119, lr = [0.0001] +[2024-05-16 05:08:27,271] - INFO: Epoch 659/9999, Iter 32920: Loss = 0.016260448843240738, lr = [0.0001] +[2024-05-16 05:08:45,363] - INFO: Epoch 659/9999, Iter 32940: Loss = 0.014692537486553192, lr = [0.0001] +[2024-05-16 05:09:03,782] - INFO: Epoch 660/9999, Iter 32960: Loss = 0.01358825620263815, lr = [0.0001] +[2024-05-16 05:09:20,761] - INFO: Epoch 660/9999, Iter 32980: Loss = 0.009155739098787308, lr = [0.0001] +[2024-05-16 05:09:37,667] - INFO: Evaluate at epoch 660! +[2024-05-16 05:09:41,301] - INFO: Eval PSNR (max): 37.748 (615) SSIM (max): 0.9598 (645) +[2024-05-16 05:09:41,301] - INFO: Eval PSNR (current): 37.694 (660) SSIM (current): 0.9596 (660) +[2024-05-16 05:09:41,301] - INFO: Evaluation over. +[2024-05-16 05:09:47,340] - INFO: Epoch 661/9999, Iter 33000: Loss = 0.015494205057621002, lr = [0.0001] +[2024-05-16 05:10:04,968] - INFO: Epoch 661/9999, Iter 33020: Loss = 0.01744154468178749, lr = [0.0001] +[2024-05-16 05:10:22,238] - INFO: Epoch 661/9999, Iter 33040: Loss = 0.0175884198397398, lr = [0.0001] +[2024-05-16 05:10:42,228] - INFO: Epoch 662/9999, Iter 33060: Loss = 0.015387563966214657, lr = [0.0001] +[2024-05-16 05:10:59,838] - INFO: Epoch 662/9999, Iter 33080: Loss = 0.01094193384051323, lr = [0.0001] +[2024-05-16 05:11:18,856] - INFO: Epoch 663/9999, Iter 33100: Loss = 0.014066663570702076, lr = [0.0001] +[2024-05-16 05:11:36,642] - INFO: Epoch 663/9999, Iter 33120: Loss = 0.011801863089203835, lr = [0.0001] +[2024-05-16 05:11:54,600] - INFO: Epoch 663/9999, Iter 33140: Loss = 0.013231796212494373, lr = [0.0001] +[2024-05-16 05:12:12,732] - INFO: Epoch 664/9999, Iter 33160: Loss = 0.016065454110503197, lr = [0.0001] +[2024-05-16 05:12:30,496] - INFO: Epoch 664/9999, Iter 33180: Loss = 0.009756582789123058, lr = [0.0001] +[2024-05-16 05:12:49,296] - INFO: Epoch 665/9999, Iter 33200: Loss = 0.018624698743224144, lr = [0.0001] +[2024-05-16 05:13:06,438] - INFO: Epoch 665/9999, Iter 33220: Loss = 0.014392107725143433, lr = [0.0001] +[2024-05-16 05:13:23,940] - INFO: Epoch 665/9999, Iter 33240: Loss = 0.01868007890880108, lr = [0.0001] +[2024-05-16 05:13:31,696] - INFO: Evaluate at epoch 665! +[2024-05-16 05:13:35,371] - INFO: Eval PSNR (max): 37.748 (615) SSIM (max): 0.9598 (645) +[2024-05-16 05:13:35,371] - INFO: Eval PSNR (current): 37.681 (665) SSIM (current): 0.9595 (665) +[2024-05-16 05:13:35,371] - INFO: Evaluation over. +[2024-05-16 05:13:49,846] - INFO: Epoch 666/9999, Iter 33260: Loss = 0.015656139701604843, lr = [0.0001] +[2024-05-16 05:14:07,240] - INFO: Epoch 666/9999, Iter 33280: Loss = 0.01918845809996128, lr = [0.0001] +[2024-05-16 05:14:26,608] - INFO: Epoch 667/9999, Iter 33300: Loss = 0.013481855392456055, lr = [0.0001] +[2024-05-16 05:14:44,326] - INFO: Epoch 667/9999, Iter 33320: Loss = 0.017192134633660316, lr = [0.0001] +[2024-05-16 05:15:02,490] - INFO: Epoch 667/9999, Iter 33340: Loss = 0.015067758038640022, lr = [0.0001] +[2024-05-16 05:15:21,685] - INFO: Epoch 668/9999, Iter 33360: Loss = 0.014861916191875935, lr = [0.0001] +[2024-05-16 05:15:39,688] - INFO: Epoch 668/9999, Iter 33380: Loss = 0.01643945649266243, lr = [0.0001] +[2024-05-16 05:15:58,568] - INFO: Epoch 669/9999, Iter 33400: Loss = 0.010505265556275845, lr = [0.0001] +[2024-05-16 05:16:16,419] - INFO: Epoch 669/9999, Iter 33420: Loss = 0.01719777286052704, lr = [0.0001] +[2024-05-16 05:16:34,763] - INFO: Epoch 669/9999, Iter 33440: Loss = 0.017724383622407913, lr = [0.0001] +[2024-05-16 05:16:53,064] - INFO: Epoch 670/9999, Iter 33460: Loss = 0.008694721385836601, lr = [0.0001] +[2024-05-16 05:17:11,580] - INFO: Epoch 670/9999, Iter 33480: Loss = 0.007655905559659004, lr = [0.0001] +[2024-05-16 05:17:28,295] - INFO: Evaluate at epoch 670! +[2024-05-16 05:17:31,849] - INFO: Eval PSNR (max): 37.748 (615) SSIM (max): 0.9598 (645) +[2024-05-16 05:17:31,850] - INFO: Eval PSNR (current): 37.709 (670) SSIM (current): 0.9597 (670) +[2024-05-16 05:17:31,850] - INFO: Evaluation over. +[2024-05-16 05:17:37,872] - INFO: Epoch 671/9999, Iter 33500: Loss = 0.01955278590321541, lr = [0.0001] +[2024-05-16 05:17:55,822] - INFO: Epoch 671/9999, Iter 33520: Loss = 0.01103280670940876, lr = [0.0001] +[2024-05-16 05:18:13,659] - INFO: Epoch 671/9999, Iter 33540: Loss = 0.01169503852725029, lr = [0.0001] +[2024-05-16 05:18:32,982] - INFO: Epoch 672/9999, Iter 33560: Loss = 0.01181780081242323, lr = [0.0001] +[2024-05-16 05:18:50,664] - INFO: Epoch 672/9999, Iter 33580: Loss = 0.01649358682334423, lr = [0.0001] +[2024-05-16 05:19:09,899] - INFO: Epoch 673/9999, Iter 33600: Loss = 0.015070045366883278, lr = [0.0001] +[2024-05-16 05:19:27,686] - INFO: Epoch 673/9999, Iter 33620: Loss = 0.009226775728166103, lr = [0.0001] +[2024-05-16 05:19:45,489] - INFO: Epoch 673/9999, Iter 33640: Loss = 0.011081849224865437, lr = [0.0001] +[2024-05-16 05:20:04,596] - INFO: Epoch 674/9999, Iter 33660: Loss = 0.008669300004839897, lr = [0.0001] +[2024-05-16 05:20:22,652] - INFO: Epoch 674/9999, Iter 33680: Loss = 0.009493277408182621, lr = [0.0001] +[2024-05-16 05:20:41,459] - INFO: Epoch 675/9999, Iter 33700: Loss = 0.012858137488365173, lr = [0.0001] +[2024-05-16 05:20:59,892] - INFO: Epoch 675/9999, Iter 33720: Loss = 0.011911964043974876, lr = [0.0001] +[2024-05-16 05:21:17,812] - INFO: Epoch 675/9999, Iter 33740: Loss = 0.015593569725751877, lr = [0.0001] +[2024-05-16 05:21:25,485] - INFO: Evaluate at epoch 675! +[2024-05-16 05:21:29,022] - INFO: Eval PSNR (max): 37.748 (615) SSIM (max): 0.9598 (645) +[2024-05-16 05:21:29,022] - INFO: Eval PSNR (current): 37.543 (675) SSIM (current): 0.9593 (675) +[2024-05-16 05:21:29,022] - INFO: Evaluation over. +[2024-05-16 05:21:43,664] - INFO: Epoch 676/9999, Iter 33760: Loss = 0.013011169619858265, lr = [0.0001] +[2024-05-16 05:22:00,860] - INFO: Epoch 676/9999, Iter 33780: Loss = 0.01423074770718813, lr = [0.0001] +[2024-05-16 05:22:20,032] - INFO: Epoch 677/9999, Iter 33800: Loss = 0.014902514405548573, lr = [0.0001] +[2024-05-16 05:22:38,460] - INFO: Epoch 677/9999, Iter 33820: Loss = 0.009584314189851284, lr = [0.0001] +[2024-05-16 05:22:56,110] - INFO: Epoch 677/9999, Iter 33840: Loss = 0.017723526805639267, lr = [0.0001] +[2024-05-16 05:23:15,312] - INFO: Epoch 678/9999, Iter 33860: Loss = 0.009403658099472523, lr = [0.0001] +[2024-05-16 05:23:32,234] - INFO: Epoch 678/9999, Iter 33880: Loss = 0.011255009099841118, lr = [0.0001] +[2024-05-16 05:23:51,466] - INFO: Epoch 679/9999, Iter 33900: Loss = 0.019662627950310707, lr = [0.0001] +[2024-05-16 05:24:09,512] - INFO: Epoch 679/9999, Iter 33920: Loss = 0.011068059131503105, lr = [0.0001] +[2024-05-16 05:24:27,544] - INFO: Epoch 679/9999, Iter 33940: Loss = 0.0064146630465984344, lr = [0.0001] +[2024-05-16 05:24:46,279] - INFO: Epoch 680/9999, Iter 33960: Loss = 0.0179119985550642, lr = [0.0001] +[2024-05-16 05:25:04,126] - INFO: Epoch 680/9999, Iter 33980: Loss = 0.016851026564836502, lr = [0.0001] +[2024-05-16 05:25:20,626] - INFO: Evaluate at epoch 680! +[2024-05-16 05:25:24,262] - INFO: Eval PSNR (max): 37.748 (615) SSIM (max): 0.9598 (645) +[2024-05-16 05:25:24,263] - INFO: Eval PSNR (current): 37.584 (680) SSIM (current): 0.9595 (680) +[2024-05-16 05:25:24,263] - INFO: Evaluation over. +[2024-05-16 05:25:30,304] - INFO: Epoch 681/9999, Iter 34000: Loss = 0.014733917079865932, lr = [0.0001] +[2024-05-16 05:25:48,856] - INFO: Epoch 681/9999, Iter 34020: Loss = 0.011019669473171234, lr = [0.0001] +[2024-05-16 05:26:06,853] - INFO: Epoch 681/9999, Iter 34040: Loss = 0.02061135321855545, lr = [0.0001] +[2024-05-16 05:26:25,583] - INFO: Epoch 682/9999, Iter 34060: Loss = 0.013782842084765434, lr = [0.0001] +[2024-05-16 05:26:42,777] - INFO: Epoch 682/9999, Iter 34080: Loss = 0.011979924514889717, lr = [0.0001] +[2024-05-16 05:27:02,155] - INFO: Epoch 683/9999, Iter 34100: Loss = 0.013825124129652977, lr = [0.0001] +[2024-05-16 05:27:20,419] - INFO: Epoch 683/9999, Iter 34120: Loss = 0.01241280511021614, lr = [0.0001] +[2024-05-16 05:27:38,283] - INFO: Epoch 683/9999, Iter 34140: Loss = 0.01290001068264246, lr = [0.0001] +[2024-05-16 05:27:57,116] - INFO: Epoch 684/9999, Iter 34160: Loss = 0.011504065245389938, lr = [0.0001] +[2024-05-16 05:28:14,356] - INFO: Epoch 684/9999, Iter 34180: Loss = 0.011210816912353039, lr = [0.0001] +[2024-05-16 05:28:33,084] - INFO: Epoch 685/9999, Iter 34200: Loss = 0.00758000323548913, lr = [0.0001] +[2024-05-16 05:28:51,332] - INFO: Epoch 685/9999, Iter 34220: Loss = 0.016619393602013588, lr = [0.0001] +[2024-05-16 05:29:09,144] - INFO: Epoch 685/9999, Iter 34240: Loss = 0.017870642244815826, lr = [0.0001] +[2024-05-16 05:29:17,017] - INFO: Evaluate at epoch 685! +[2024-05-16 05:29:20,683] - INFO: Eval PSNR (max): 37.748 (615) SSIM (max): 0.9598 (645) +[2024-05-16 05:29:20,683] - INFO: Eval PSNR (current): 37.545 (685) SSIM (current): 0.9590 (685) +[2024-05-16 05:29:20,683] - INFO: Evaluation over. +[2024-05-16 05:29:35,325] - INFO: Epoch 686/9999, Iter 34260: Loss = 0.013696001842617989, lr = [0.0001] +[2024-05-16 05:29:53,475] - INFO: Epoch 686/9999, Iter 34280: Loss = 0.008939498104155064, lr = [0.0001] +[2024-05-16 05:30:12,419] - INFO: Epoch 687/9999, Iter 34300: Loss = 0.012162638828158379, lr = [0.0001] +[2024-05-16 05:30:30,216] - INFO: Epoch 687/9999, Iter 34320: Loss = 0.012948851101100445, lr = [0.0001] +[2024-05-16 05:30:48,152] - INFO: Epoch 687/9999, Iter 34340: Loss = 0.02032681182026863, lr = [0.0001] +[2024-05-16 05:31:07,119] - INFO: Epoch 688/9999, Iter 34360: Loss = 0.012026369571685791, lr = [0.0001] +[2024-05-16 05:31:24,296] - INFO: Epoch 688/9999, Iter 34380: Loss = 0.01702526956796646, lr = [0.0001] +[2024-05-16 05:31:43,564] - INFO: Epoch 689/9999, Iter 34400: Loss = 0.011698718182742596, lr = [0.0001] +[2024-05-16 05:32:00,235] - INFO: Epoch 689/9999, Iter 34420: Loss = 0.008933639153838158, lr = [0.0001] +[2024-05-16 05:32:17,620] - INFO: Epoch 689/9999, Iter 34440: Loss = 0.014986896887421608, lr = [0.0001] +[2024-05-16 05:32:37,086] - INFO: Epoch 690/9999, Iter 34460: Loss = 0.015631601214408875, lr = [0.0001] +[2024-05-16 05:32:55,340] - INFO: Epoch 690/9999, Iter 34480: Loss = 0.010458135977387428, lr = [0.0001] +[2024-05-16 05:33:11,806] - INFO: Evaluate at epoch 690! +[2024-05-16 05:33:15,470] - INFO: Eval PSNR (max): 37.748 (615) SSIM (max): 0.9598 (645) +[2024-05-16 05:33:15,470] - INFO: Eval PSNR (current): 37.410 (690) SSIM (current): 0.9593 (690) +[2024-05-16 05:33:15,470] - INFO: Evaluation over. +[2024-05-16 05:33:21,764] - INFO: Epoch 691/9999, Iter 34500: Loss = 0.014760040678083897, lr = [0.0001] +[2024-05-16 05:33:39,536] - INFO: Epoch 691/9999, Iter 34520: Loss = 0.016479317098855972, lr = [0.0001] +[2024-05-16 05:33:57,722] - INFO: Epoch 691/9999, Iter 34540: Loss = 0.015502827242016792, lr = [0.0001] +[2024-05-16 05:34:16,127] - INFO: Epoch 692/9999, Iter 34560: Loss = 0.010475809685885906, lr = [0.0001] +[2024-05-16 05:34:34,536] - INFO: Epoch 692/9999, Iter 34580: Loss = 0.017739633098244667, lr = [0.0001] +[2024-05-16 05:34:53,516] - INFO: Epoch 693/9999, Iter 34600: Loss = 0.017545094713568687, lr = [0.0001] +[2024-05-16 05:35:10,844] - INFO: Epoch 693/9999, Iter 34620: Loss = 0.016001814976334572, lr = [0.0001] +[2024-05-16 05:35:28,599] - INFO: Epoch 693/9999, Iter 34640: Loss = 0.014584136195480824, lr = [0.0001] +[2024-05-16 05:35:48,387] - INFO: Epoch 694/9999, Iter 34660: Loss = 0.01777440309524536, lr = [0.0001] +[2024-05-16 05:36:06,252] - INFO: Epoch 694/9999, Iter 34680: Loss = 0.017252357676625252, lr = [0.0001] +[2024-05-16 05:36:25,226] - INFO: Epoch 695/9999, Iter 34700: Loss = 0.015349352732300758, lr = [0.0001] +[2024-05-16 05:36:42,996] - INFO: Epoch 695/9999, Iter 34720: Loss = 0.015222697518765926, lr = [0.0001] +[2024-05-16 05:37:00,874] - INFO: Epoch 695/9999, Iter 34740: Loss = 0.013587062247097492, lr = [0.0001] +[2024-05-16 05:37:08,572] - INFO: Evaluate at epoch 695! +[2024-05-16 05:37:12,288] - INFO: Eval PSNR (max): 37.748 (615) SSIM (max): 0.9598 (645) +[2024-05-16 05:37:12,289] - INFO: Eval PSNR (current): 37.690 (695) SSIM (current): 0.9595 (695) +[2024-05-16 05:37:12,289] - INFO: Evaluation over. +[2024-05-16 05:37:26,791] - INFO: Epoch 696/9999, Iter 34760: Loss = 0.01241252850741148, lr = [0.0001] +[2024-05-16 05:37:44,292] - INFO: Epoch 696/9999, Iter 34780: Loss = 0.012197754345834255, lr = [0.0001] +[2024-05-16 05:38:03,496] - INFO: Epoch 697/9999, Iter 34800: Loss = 0.012132703326642513, lr = [0.0001] +[2024-05-16 05:38:21,569] - INFO: Epoch 697/9999, Iter 34820: Loss = 0.015622301027178764, lr = [0.0001] +[2024-05-16 05:38:39,652] - INFO: Epoch 697/9999, Iter 34840: Loss = 0.015138454735279083, lr = [0.0001] +[2024-05-16 05:38:59,031] - INFO: Epoch 698/9999, Iter 34860: Loss = 0.008975738659501076, lr = [0.0001] +[2024-05-16 05:39:16,793] - INFO: Epoch 698/9999, Iter 34880: Loss = 0.01394613180309534, lr = [0.0001] +[2024-05-16 05:39:35,380] - INFO: Epoch 699/9999, Iter 34900: Loss = 0.020512254908680916, lr = [0.0001] +[2024-05-16 05:39:53,855] - INFO: Epoch 699/9999, Iter 34920: Loss = 0.017450371757149696, lr = [0.0001] +[2024-05-16 05:40:11,635] - INFO: Epoch 699/9999, Iter 34940: Loss = 0.008771558292210102, lr = [0.0001] +[2024-05-16 05:40:30,215] - INFO: Epoch 700/9999, Iter 34960: Loss = 0.011939633637666702, lr = [0.0001] +[2024-05-16 05:40:47,309] - INFO: Epoch 700/9999, Iter 34980: Loss = 0.01382066123187542, lr = [0.0001] +[2024-05-16 05:41:03,748] - INFO: Evaluate at epoch 700! +[2024-05-16 05:41:07,198] - INFO: Eval PSNR (max): 37.748 (615) SSIM (max): 0.9598 (645) +[2024-05-16 05:41:07,198] - INFO: Eval PSNR (current): 37.623 (700) SSIM (current): 0.9594 (700) +[2024-05-16 05:41:07,198] - INFO: Evaluation over. +[2024-05-16 05:41:13,088] - INFO: Epoch 701/9999, Iter 35000: Loss = 0.011290623806416988, lr = [0.0001] +[2024-05-16 05:41:30,956] - INFO: Epoch 701/9999, Iter 35020: Loss = 0.016127094626426697, lr = [0.0001] +[2024-05-16 05:41:49,150] - INFO: Epoch 701/9999, Iter 35040: Loss = 0.015328748151659966, lr = [0.0001] +[2024-05-16 05:42:08,544] - INFO: Epoch 702/9999, Iter 35060: Loss = 0.01338969822973013, lr = [0.0001] +[2024-05-16 05:42:26,779] - INFO: Epoch 702/9999, Iter 35080: Loss = 0.012050201185047626, lr = [0.0001] +[2024-05-16 05:42:45,259] - INFO: Epoch 703/9999, Iter 35100: Loss = 0.022059395909309387, lr = [0.0001] +[2024-05-16 05:43:02,898] - INFO: Epoch 703/9999, Iter 35120: Loss = 0.015454118140041828, lr = [0.0001] +[2024-05-16 05:43:20,423] - INFO: Epoch 703/9999, Iter 35140: Loss = 0.013084047473967075, lr = [0.0001] +[2024-05-16 05:43:39,726] - INFO: Epoch 704/9999, Iter 35160: Loss = 0.013190459460020065, lr = [0.0001] +[2024-05-16 05:43:57,272] - INFO: Epoch 704/9999, Iter 35180: Loss = 0.01368576381355524, lr = [0.0001] +[2024-05-16 05:44:16,558] - INFO: Epoch 705/9999, Iter 35200: Loss = 0.0063321576453745365, lr = [0.0001] +[2024-05-16 05:44:34,598] - INFO: Epoch 705/9999, Iter 35220: Loss = 0.014987528324127197, lr = [0.0001] +[2024-05-16 05:44:52,100] - INFO: Epoch 705/9999, Iter 35240: Loss = 0.011210130527615547, lr = [0.0001] +[2024-05-16 05:44:59,809] - INFO: Evaluate at epoch 705! +[2024-05-16 05:45:03,361] - INFO: Eval PSNR (max): 37.748 (615) SSIM (max): 0.9598 (645) +[2024-05-16 05:45:03,361] - INFO: Eval PSNR (current): 37.678 (705) SSIM (current): 0.9595 (705) +[2024-05-16 05:45:03,361] - INFO: Evaluation over. +[2024-05-16 05:45:18,396] - INFO: Epoch 706/9999, Iter 35260: Loss = 0.0072883116081357, lr = [0.0001] +[2024-05-16 05:45:35,734] - INFO: Epoch 706/9999, Iter 35280: Loss = 0.013713126070797443, lr = [0.0001] +[2024-05-16 05:45:54,984] - INFO: Epoch 707/9999, Iter 35300: Loss = 0.015588231384754181, lr = [0.0001] +[2024-05-16 05:46:11,935] - INFO: Epoch 707/9999, Iter 35320: Loss = 0.015920449048280716, lr = [0.0001] +[2024-05-16 05:46:29,316] - INFO: Epoch 707/9999, Iter 35340: Loss = 0.010231129825115204, lr = [0.0001] +[2024-05-16 05:46:48,018] - INFO: Epoch 708/9999, Iter 35360: Loss = 0.010317766107618809, lr = [0.0001] +[2024-05-16 05:47:04,959] - INFO: Epoch 708/9999, Iter 35380: Loss = 0.013654244132339954, lr = [0.0001] +[2024-05-16 05:47:23,759] - INFO: Epoch 709/9999, Iter 35400: Loss = 0.009228249080479145, lr = [0.0001] +[2024-05-16 05:47:41,228] - INFO: Epoch 709/9999, Iter 35420: Loss = 0.016884949058294296, lr = [0.0001] +[2024-05-16 05:47:59,160] - INFO: Epoch 709/9999, Iter 35440: Loss = 0.013103483244776726, lr = [0.0001] +[2024-05-16 05:48:18,464] - INFO: Epoch 710/9999, Iter 35460: Loss = 0.011544447392225266, lr = [0.0001] +[2024-05-16 05:48:36,167] - INFO: Epoch 710/9999, Iter 35480: Loss = 0.022015893831849098, lr = [0.0001] +[2024-05-16 05:48:52,834] - INFO: Evaluate at epoch 710! +[2024-05-16 05:48:56,545] - INFO: Eval PSNR (max): 37.748 (615) SSIM (max): 0.9598 (645) +[2024-05-16 05:48:56,546] - INFO: Eval PSNR (current): 37.643 (710) SSIM (current): 0.9596 (710) +[2024-05-16 05:48:56,546] - INFO: Evaluation over. +[2024-05-16 05:49:02,384] - INFO: Epoch 711/9999, Iter 35500: Loss = 0.009335105307400227, lr = [0.0001] +[2024-05-16 05:49:20,285] - INFO: Epoch 711/9999, Iter 35520: Loss = 0.019021151587367058, lr = [0.0001] +[2024-05-16 05:49:37,800] - INFO: Epoch 711/9999, Iter 35540: Loss = 0.017109045758843422, lr = [0.0001] +[2024-05-16 05:49:56,409] - INFO: Epoch 712/9999, Iter 35560: Loss = 0.011396079324185848, lr = [0.0001] +[2024-05-16 05:50:13,915] - INFO: Epoch 712/9999, Iter 35580: Loss = 0.012993629090487957, lr = [0.0001] +[2024-05-16 05:50:33,183] - INFO: Epoch 713/9999, Iter 35600: Loss = 0.011574847623705864, lr = [0.0001] +[2024-05-16 05:50:50,820] - INFO: Epoch 713/9999, Iter 35620: Loss = 0.0159964170306921, lr = [0.0001] +[2024-05-16 05:51:08,099] - INFO: Epoch 713/9999, Iter 35640: Loss = 0.018009303137660027, lr = [0.0001] +[2024-05-16 05:51:26,825] - INFO: Epoch 714/9999, Iter 35660: Loss = 0.014234039932489395, lr = [0.0001] +[2024-05-16 05:51:43,852] - INFO: Epoch 714/9999, Iter 35680: Loss = 0.012297645211219788, lr = [0.0001] +[2024-05-16 05:52:03,162] - INFO: Epoch 715/9999, Iter 35700: Loss = 0.01708613894879818, lr = [0.0001] +[2024-05-16 05:52:21,181] - INFO: Epoch 715/9999, Iter 35720: Loss = 0.012028359808027744, lr = [0.0001] +[2024-05-16 05:52:39,067] - INFO: Epoch 715/9999, Iter 35740: Loss = 0.014588345773518085, lr = [0.0001] +[2024-05-16 05:52:46,813] - INFO: Evaluate at epoch 715! +[2024-05-16 05:52:50,307] - INFO: Eval PSNR (max): 37.748 (615) SSIM (max): 0.9598 (645) +[2024-05-16 05:52:50,307] - INFO: Eval PSNR (current): 37.713 (715) SSIM (current): 0.9598 (715) +[2024-05-16 05:52:50,307] - INFO: Evaluation over. +[2024-05-16 05:53:05,628] - INFO: Epoch 716/9999, Iter 35760: Loss = 0.013138220645487309, lr = [0.0001] +[2024-05-16 05:53:23,228] - INFO: Epoch 716/9999, Iter 35780: Loss = 0.01691674068570137, lr = [0.0001] +[2024-05-16 05:53:42,021] - INFO: Epoch 717/9999, Iter 35800: Loss = 0.01427117083221674, lr = [0.0001] +[2024-05-16 05:53:59,554] - INFO: Epoch 717/9999, Iter 35820: Loss = 0.012818175368010998, lr = [0.0001] +[2024-05-16 05:54:17,627] - INFO: Epoch 717/9999, Iter 35840: Loss = 0.01593225635588169, lr = [0.0001] +[2024-05-16 05:54:36,347] - INFO: Epoch 718/9999, Iter 35860: Loss = 0.015619189478456974, lr = [0.0001] +[2024-05-16 05:54:54,941] - INFO: Epoch 718/9999, Iter 35880: Loss = 0.013283305801451206, lr = [0.0001] +[2024-05-16 05:55:13,775] - INFO: Epoch 719/9999, Iter 35900: Loss = 0.011108428239822388, lr = [0.0001] +[2024-05-16 05:55:31,760] - INFO: Epoch 719/9999, Iter 35920: Loss = 0.015168183483183384, lr = [0.0001] +[2024-05-16 05:55:49,549] - INFO: Epoch 719/9999, Iter 35940: Loss = 0.012375389225780964, lr = [0.0001] +[2024-05-16 05:56:08,417] - INFO: Epoch 720/9999, Iter 35960: Loss = 0.011379427276551723, lr = [0.0001] +[2024-05-16 05:56:25,528] - INFO: Epoch 720/9999, Iter 35980: Loss = 0.013946304097771645, lr = [0.0001] +[2024-05-16 05:56:42,258] - INFO: Evaluate at epoch 720! +[2024-05-16 05:56:45,735] - INFO: Eval PSNR (max): 37.748 (615) SSIM (max): 0.9598 (645) +[2024-05-16 05:56:45,735] - INFO: Eval PSNR (current): 37.611 (720) SSIM (current): 0.9594 (720) +[2024-05-16 05:56:45,735] - INFO: Evaluation over. +[2024-05-16 05:56:51,917] - INFO: Epoch 721/9999, Iter 36000: Loss = 0.012330508790910244, lr = [0.0001] +[2024-05-16 05:57:09,835] - INFO: Epoch 721/9999, Iter 36020: Loss = 0.017581356689333916, lr = [0.0001] +[2024-05-16 05:57:28,028] - INFO: Epoch 721/9999, Iter 36040: Loss = 0.009684719145298004, lr = [0.0001] +[2024-05-16 05:57:46,474] - INFO: Epoch 722/9999, Iter 36060: Loss = 0.013855431228876114, lr = [0.0001] +[2024-05-16 05:58:04,705] - INFO: Epoch 722/9999, Iter 36080: Loss = 0.01770086959004402, lr = [0.0001] +[2024-05-16 05:58:23,317] - INFO: Epoch 723/9999, Iter 36100: Loss = 0.0193698238581419, lr = [0.0001] +[2024-05-16 05:58:40,995] - INFO: Epoch 723/9999, Iter 36120: Loss = 0.020970335230231285, lr = [0.0001] +[2024-05-16 05:58:58,839] - INFO: Epoch 723/9999, Iter 36140: Loss = 0.01769215241074562, lr = [0.0001] +[2024-05-16 05:59:20,316] - INFO: Epoch 724/9999, Iter 36160: Loss = 0.012419548816978931, lr = [0.0001] +[2024-05-16 05:59:37,887] - INFO: Epoch 724/9999, Iter 36180: Loss = 0.021989023312926292, lr = [0.0001] +[2024-05-16 05:59:56,560] - INFO: Epoch 725/9999, Iter 36200: Loss = 0.020952584221959114, lr = [0.0001] +[2024-05-16 06:00:14,554] - INFO: Epoch 725/9999, Iter 36220: Loss = 0.010886863805353642, lr = [0.0001] +[2024-05-16 06:00:32,292] - INFO: Epoch 725/9999, Iter 36240: Loss = 0.01876859739422798, lr = [0.0001] +[2024-05-16 06:00:39,801] - INFO: Evaluate at epoch 725! +[2024-05-16 06:00:43,285] - INFO: Eval PSNR (max): 37.748 (615) SSIM (max): 0.9598 (645) +[2024-05-16 06:00:43,285] - INFO: Eval PSNR (current): 37.538 (725) SSIM (current): 0.9595 (725) +[2024-05-16 06:00:43,285] - INFO: Evaluation over. +[2024-05-16 06:00:57,655] - INFO: Epoch 726/9999, Iter 36260: Loss = 0.009965799748897552, lr = [0.0001] +[2024-05-16 06:01:14,913] - INFO: Epoch 726/9999, Iter 36280: Loss = 0.019205667078495026, lr = [0.0001] +[2024-05-16 06:01:34,349] - INFO: Epoch 727/9999, Iter 36300: Loss = 0.01242319867014885, lr = [0.0001] +[2024-05-16 06:01:51,834] - INFO: Epoch 727/9999, Iter 36320: Loss = 0.014617298729717731, lr = [0.0001] +[2024-05-16 06:02:09,208] - INFO: Epoch 727/9999, Iter 36340: Loss = 0.012908624485135078, lr = [0.0001] +[2024-05-16 06:02:27,582] - INFO: Epoch 728/9999, Iter 36360: Loss = 0.011346210725605488, lr = [0.0001] +[2024-05-16 06:02:45,640] - INFO: Epoch 728/9999, Iter 36380: Loss = 0.01346555445343256, lr = [0.0001] +[2024-05-16 06:03:03,960] - INFO: Epoch 729/9999, Iter 36400: Loss = 0.012977765873074532, lr = [0.0001] +[2024-05-16 06:03:22,208] - INFO: Epoch 729/9999, Iter 36420: Loss = 0.014316773973405361, lr = [0.0001] +[2024-05-16 06:03:39,966] - INFO: Epoch 729/9999, Iter 36440: Loss = 0.014952111057937145, lr = [0.0001] +[2024-05-16 06:03:58,335] - INFO: Epoch 730/9999, Iter 36460: Loss = 0.016313625499606133, lr = [0.0001] +[2024-05-16 06:04:16,003] - INFO: Epoch 730/9999, Iter 36480: Loss = 0.012981519103050232, lr = [0.0001] +[2024-05-16 06:04:32,777] - INFO: Evaluate at epoch 730! +[2024-05-16 06:04:36,356] - INFO: Eval PSNR (max): 37.748 (615) SSIM (max): 0.9598 (645) +[2024-05-16 06:04:36,356] - INFO: Eval PSNR (current): 37.670 (730) SSIM (current): 0.9598 (730) +[2024-05-16 06:04:36,356] - INFO: Evaluation over. +[2024-05-16 06:04:42,620] - INFO: Epoch 731/9999, Iter 36500: Loss = 0.01769132725894451, lr = [0.0001] +[2024-05-16 06:05:00,224] - INFO: Epoch 731/9999, Iter 36520: Loss = 0.0124251339584589, lr = [0.0001] +[2024-05-16 06:05:18,029] - INFO: Epoch 731/9999, Iter 36540: Loss = 0.008969021961092949, lr = [0.0001] +[2024-05-16 06:05:36,411] - INFO: Epoch 732/9999, Iter 36560: Loss = 0.011484421789646149, lr = [0.0001] +[2024-05-16 06:05:53,876] - INFO: Epoch 732/9999, Iter 36580: Loss = 0.01547468826174736, lr = [0.0001] +[2024-05-16 06:06:12,627] - INFO: Epoch 733/9999, Iter 36600: Loss = 0.013216729275882244, lr = [0.0001] +[2024-05-16 06:06:29,999] - INFO: Epoch 733/9999, Iter 36620: Loss = 0.011834430508315563, lr = [0.0001] +[2024-05-16 06:06:47,112] - INFO: Epoch 733/9999, Iter 36640: Loss = 0.012115017510950565, lr = [0.0001] +[2024-05-16 06:07:05,936] - INFO: Epoch 734/9999, Iter 36660: Loss = 0.01383268367499113, lr = [0.0001] +[2024-05-16 06:07:23,161] - INFO: Epoch 734/9999, Iter 36680: Loss = 0.016024120151996613, lr = [0.0001] +[2024-05-16 06:07:42,152] - INFO: Epoch 735/9999, Iter 36700: Loss = 0.01932227611541748, lr = [0.0001] +[2024-05-16 06:08:00,790] - INFO: Epoch 735/9999, Iter 36720: Loss = 0.01198603492230177, lr = [0.0001] +[2024-05-16 06:08:18,342] - INFO: Epoch 735/9999, Iter 36740: Loss = 0.01309619378298521, lr = [0.0001] +[2024-05-16 06:08:26,067] - INFO: Evaluate at epoch 735! +[2024-05-16 06:08:29,762] - INFO: Eval PSNR (max): 37.748 (615) SSIM (max): 0.9598 (645) +[2024-05-16 06:08:29,762] - INFO: Eval PSNR (current): 37.674 (735) SSIM (current): 0.9598 (735) +[2024-05-16 06:08:29,762] - INFO: Evaluation over. +[2024-05-16 06:08:44,131] - INFO: Epoch 736/9999, Iter 36760: Loss = 0.01237573940306902, lr = [0.0001] +[2024-05-16 06:09:01,598] - INFO: Epoch 736/9999, Iter 36780: Loss = 0.013118854723870754, lr = [0.0001] +[2024-05-16 06:09:20,848] - INFO: Epoch 737/9999, Iter 36800: Loss = 0.00920903217047453, lr = [0.0001] +[2024-05-16 06:09:38,169] - INFO: Epoch 737/9999, Iter 36820: Loss = 0.017798108980059624, lr = [0.0001] +[2024-05-16 06:09:55,909] - INFO: Epoch 737/9999, Iter 36840: Loss = 0.010361317545175552, lr = [0.0001] +[2024-05-16 06:10:14,964] - INFO: Epoch 738/9999, Iter 36860: Loss = 0.010756020434200764, lr = [0.0001] +[2024-05-16 06:10:32,982] - INFO: Epoch 738/9999, Iter 36880: Loss = 0.008925529196858406, lr = [0.0001] +[2024-05-16 06:10:51,844] - INFO: Epoch 739/9999, Iter 36900: Loss = 0.011493896134197712, lr = [0.0001] +[2024-05-16 06:11:09,578] - INFO: Epoch 739/9999, Iter 36920: Loss = 0.014559337869286537, lr = [0.0001] +[2024-05-16 06:11:27,604] - INFO: Epoch 739/9999, Iter 36940: Loss = 0.0148044778034091, lr = [0.0001] +[2024-05-16 06:11:46,592] - INFO: Epoch 740/9999, Iter 36960: Loss = 0.013880709186196327, lr = [0.0001] +[2024-05-16 06:12:04,667] - INFO: Epoch 740/9999, Iter 36980: Loss = 0.013433564454317093, lr = [0.0001] +[2024-05-16 06:12:21,443] - INFO: Evaluate at epoch 740! +[2024-05-16 06:12:25,093] - INFO: Eval PSNR (max): 37.748 (615) SSIM (max): 0.9598 (645) +[2024-05-16 06:12:25,093] - INFO: Eval PSNR (current): 37.676 (740) SSIM (current): 0.9598 (740) +[2024-05-16 06:12:25,093] - INFO: Evaluation over. +[2024-05-16 06:12:31,216] - INFO: Epoch 741/9999, Iter 37000: Loss = 0.014320976100862026, lr = [0.0001] +[2024-05-16 06:12:49,201] - INFO: Epoch 741/9999, Iter 37020: Loss = 0.011520275846123695, lr = [0.0001] +[2024-05-16 06:13:07,017] - INFO: Epoch 741/9999, Iter 37040: Loss = 0.01357430312782526, lr = [0.0001] +[2024-05-16 06:13:26,252] - INFO: Epoch 742/9999, Iter 37060: Loss = 0.017461780458688736, lr = [0.0001] +[2024-05-16 06:13:42,977] - INFO: Epoch 742/9999, Iter 37080: Loss = 0.017938099801540375, lr = [0.0001] +[2024-05-16 06:14:02,084] - INFO: Epoch 743/9999, Iter 37100: Loss = 0.009102270938456059, lr = [0.0001] +[2024-05-16 06:14:19,764] - INFO: Epoch 743/9999, Iter 37120: Loss = 0.015419439412653446, lr = [0.0001] +[2024-05-16 06:14:37,678] - INFO: Epoch 743/9999, Iter 37140: Loss = 0.015266279689967632, lr = [0.0001] +[2024-05-16 06:14:56,440] - INFO: Epoch 744/9999, Iter 37160: Loss = 0.013862860389053822, lr = [0.0001] +[2024-05-16 06:15:13,728] - INFO: Epoch 744/9999, Iter 37180: Loss = 0.01556168869137764, lr = [0.0001] +[2024-05-16 06:15:32,715] - INFO: Epoch 745/9999, Iter 37200: Loss = 0.013195524923503399, lr = [0.0001] +[2024-05-16 06:15:50,865] - INFO: Epoch 745/9999, Iter 37220: Loss = 0.010070104151964188, lr = [0.0001] +[2024-05-16 06:16:08,796] - INFO: Epoch 745/9999, Iter 37240: Loss = 0.015893200412392616, lr = [0.0001] +[2024-05-16 06:16:16,098] - INFO: Evaluate at epoch 745! +[2024-05-16 06:16:19,595] - INFO: Eval PSNR (max): 37.748 (615) SSIM (max): 0.9598 (645) +[2024-05-16 06:16:19,595] - INFO: Eval PSNR (current): 37.654 (745) SSIM (current): 0.9596 (745) +[2024-05-16 06:16:19,595] - INFO: Evaluation over. +[2024-05-16 06:16:34,940] - INFO: Epoch 746/9999, Iter 37260: Loss = 0.015694668516516685, lr = [0.0001] +[2024-05-16 06:16:52,879] - INFO: Epoch 746/9999, Iter 37280: Loss = 0.013730987906455994, lr = [0.0001] +[2024-05-16 06:17:12,340] - INFO: Epoch 747/9999, Iter 37300: Loss = 0.01370454952120781, lr = [0.0001] +[2024-05-16 06:17:29,668] - INFO: Epoch 747/9999, Iter 37320: Loss = 0.012373005971312523, lr = [0.0001] +[2024-05-16 06:17:47,290] - INFO: Epoch 747/9999, Iter 37340: Loss = 0.010493336245417595, lr = [0.0001] +[2024-05-16 06:18:06,282] - INFO: Epoch 748/9999, Iter 37360: Loss = 0.01130824163556099, lr = [0.0001] +[2024-05-16 06:18:23,511] - INFO: Epoch 748/9999, Iter 37380: Loss = 0.020199265331029892, lr = [0.0001] +[2024-05-16 06:18:43,296] - INFO: Epoch 749/9999, Iter 37400: Loss = 0.015447232872247696, lr = [0.0001] +[2024-05-16 06:19:00,336] - INFO: Epoch 749/9999, Iter 37420: Loss = 0.011212103068828583, lr = [0.0001] +[2024-05-16 06:19:17,766] - INFO: Epoch 749/9999, Iter 37440: Loss = 0.015535406768321991, lr = [0.0001] +[2024-05-16 06:19:36,724] - INFO: Epoch 750/9999, Iter 37460: Loss = 0.013798077590763569, lr = [0.0001] +[2024-05-16 06:19:54,000] - INFO: Epoch 750/9999, Iter 37480: Loss = 0.016209978610277176, lr = [0.0001] +[2024-05-16 06:20:10,812] - INFO: Evaluate at epoch 750! +[2024-05-16 06:20:14,374] - INFO: Eval PSNR (max): 37.748 (615) SSIM (max): 0.9598 (645) +[2024-05-16 06:20:14,374] - INFO: Eval PSNR (current): 37.735 (750) SSIM (current): 0.9598 (750) +[2024-05-16 06:20:14,374] - INFO: Evaluation over. +[2024-05-16 06:20:20,035] - INFO: Epoch 751/9999, Iter 37500: Loss = 0.011103812605142593, lr = [0.0001] +[2024-05-16 06:20:36,924] - INFO: Epoch 751/9999, Iter 37520: Loss = 0.014752189628779888, lr = [0.0001] +[2024-05-16 06:20:54,686] - INFO: Epoch 751/9999, Iter 37540: Loss = 0.01268593966960907, lr = [0.0001] +[2024-05-16 06:21:14,668] - INFO: Epoch 752/9999, Iter 37560: Loss = 0.011387346312403679, lr = [0.0001] +[2024-05-16 06:21:32,202] - INFO: Epoch 752/9999, Iter 37580: Loss = 0.010937265120446682, lr = [0.0001] +[2024-05-16 06:21:51,360] - INFO: Epoch 753/9999, Iter 37600: Loss = 0.01752195879817009, lr = [0.0001] +[2024-05-16 06:22:08,332] - INFO: Epoch 753/9999, Iter 37620: Loss = 0.010021664202213287, lr = [0.0001] +[2024-05-16 06:22:25,466] - INFO: Epoch 753/9999, Iter 37640: Loss = 0.01665058173239231, lr = [0.0001] +[2024-05-16 06:22:45,311] - INFO: Epoch 754/9999, Iter 37660: Loss = 0.012241018936038017, lr = [0.0001] +[2024-05-16 06:23:03,016] - INFO: Epoch 754/9999, Iter 37680: Loss = 0.013787830248475075, lr = [0.0001] +[2024-05-16 06:23:22,620] - INFO: Epoch 755/9999, Iter 37700: Loss = 0.008876928128302097, lr = [0.0001] +[2024-05-16 06:23:40,414] - INFO: Epoch 755/9999, Iter 37720: Loss = 0.008726234547793865, lr = [0.0001] +[2024-05-16 06:23:58,683] - INFO: Epoch 755/9999, Iter 37740: Loss = 0.014616608619689941, lr = [0.0001] +[2024-05-16 06:24:06,279] - INFO: Evaluate at epoch 755! +[2024-05-16 06:24:09,870] - INFO: Eval PSNR (max): 37.748 (615) SSIM (max): 0.9598 (645) +[2024-05-16 06:24:09,870] - INFO: Eval PSNR (current): 37.684 (755) SSIM (current): 0.9595 (755) +[2024-05-16 06:24:09,870] - INFO: Evaluation over. +[2024-05-16 06:24:24,800] - INFO: Epoch 756/9999, Iter 37760: Loss = 0.011307886801660061, lr = [0.0001] +[2024-05-16 06:24:42,463] - INFO: Epoch 756/9999, Iter 37780: Loss = 0.013298215344548225, lr = [0.0001] +[2024-05-16 06:25:01,616] - INFO: Epoch 757/9999, Iter 37800: Loss = 0.008195433765649796, lr = [0.0001] +[2024-05-16 06:25:19,363] - INFO: Epoch 757/9999, Iter 37820: Loss = 0.011577160097658634, lr = [0.0001] +[2024-05-16 06:25:37,172] - INFO: Epoch 757/9999, Iter 37840: Loss = 0.010730089619755745, lr = [0.0001] +[2024-05-16 06:25:56,652] - INFO: Epoch 758/9999, Iter 37860: Loss = 0.015280519612133503, lr = [0.0001] +[2024-05-16 06:26:14,299] - INFO: Epoch 758/9999, Iter 37880: Loss = 0.0075461892411112785, lr = [0.0001] +[2024-05-16 06:26:32,997] - INFO: Epoch 759/9999, Iter 37900: Loss = 0.013575226999819279, lr = [0.0001] +[2024-05-16 06:26:51,548] - INFO: Epoch 759/9999, Iter 37920: Loss = 0.010967010632157326, lr = [0.0001] +[2024-05-16 06:27:09,540] - INFO: Epoch 759/9999, Iter 37940: Loss = 0.014836757443845272, lr = [0.0001] +[2024-05-16 06:27:28,336] - INFO: Epoch 760/9999, Iter 37960: Loss = 0.011474333703517914, lr = [0.0001] +[2024-05-16 06:27:45,761] - INFO: Epoch 760/9999, Iter 37980: Loss = 0.01380838081240654, lr = [0.0001] +[2024-05-16 06:28:02,754] - INFO: Evaluate at epoch 760! +[2024-05-16 06:28:06,347] - INFO: Eval PSNR (max): 37.748 (615) SSIM (max): 0.9598 (645) +[2024-05-16 06:28:06,347] - INFO: Eval PSNR (current): 37.730 (760) SSIM (current): 0.9598 (760) +[2024-05-16 06:28:06,347] - INFO: Evaluation over. +[2024-05-16 06:28:12,485] - INFO: Epoch 761/9999, Iter 38000: Loss = 0.014672915451228619, lr = [0.0001] +[2024-05-16 06:28:30,669] - INFO: Epoch 761/9999, Iter 38020: Loss = 0.015064608305692673, lr = [0.0001] +[2024-05-16 06:28:48,696] - INFO: Epoch 761/9999, Iter 38040: Loss = 0.010449913330376148, lr = [0.0001] +[2024-05-16 06:29:07,787] - INFO: Epoch 762/9999, Iter 38060: Loss = 0.012402421794831753, lr = [0.0001] +[2024-05-16 06:29:25,714] - INFO: Epoch 762/9999, Iter 38080: Loss = 0.014797830022871494, lr = [0.0001] +[2024-05-16 06:29:44,214] - INFO: Epoch 763/9999, Iter 38100: Loss = 0.013998450711369514, lr = [0.0001] +[2024-05-16 06:30:02,144] - INFO: Epoch 763/9999, Iter 38120: Loss = 0.011951839551329613, lr = [0.0001] +[2024-05-16 06:30:20,492] - INFO: Epoch 763/9999, Iter 38140: Loss = 0.01098787784576416, lr = [0.0001] +[2024-05-16 06:30:39,528] - INFO: Epoch 764/9999, Iter 38160: Loss = 0.013495818711817265, lr = [0.0001] +[2024-05-16 06:30:56,500] - INFO: Epoch 764/9999, Iter 38180: Loss = 0.01341994572430849, lr = [0.0001] +[2024-05-16 06:31:15,644] - INFO: Epoch 765/9999, Iter 38200: Loss = 0.016412394121289253, lr = [0.0001] +[2024-05-16 06:31:33,562] - INFO: Epoch 765/9999, Iter 38220: Loss = 0.013080999255180359, lr = [0.0001] +[2024-05-16 06:31:51,881] - INFO: Epoch 765/9999, Iter 38240: Loss = 0.018537234514951706, lr = [0.0001] +[2024-05-16 06:31:59,165] - INFO: Evaluate at epoch 765! +[2024-05-16 06:32:02,808] - INFO: Eval PSNR (max): 37.748 (615) SSIM (max): 0.9598 (645) +[2024-05-16 06:32:02,808] - INFO: Eval PSNR (current): 37.690 (765) SSIM (current): 0.9597 (765) +[2024-05-16 06:32:02,808] - INFO: Evaluation over. +[2024-05-16 06:32:17,756] - INFO: Epoch 766/9999, Iter 38260: Loss = 0.009425878524780273, lr = [0.0001] +[2024-05-16 06:32:34,632] - INFO: Epoch 766/9999, Iter 38280: Loss = 0.014297752641141415, lr = [0.0001] +[2024-05-16 06:32:53,808] - INFO: Epoch 767/9999, Iter 38300: Loss = 0.01881028711795807, lr = [0.0001] +[2024-05-16 06:33:11,664] - INFO: Epoch 767/9999, Iter 38320: Loss = 0.016620399430394173, lr = [0.0001] +[2024-05-16 06:33:29,613] - INFO: Epoch 767/9999, Iter 38340: Loss = 0.015386644750833511, lr = [0.0001] +[2024-05-16 06:33:48,876] - INFO: Epoch 768/9999, Iter 38360: Loss = 0.009667865000665188, lr = [0.0001] +[2024-05-16 06:34:07,071] - INFO: Epoch 768/9999, Iter 38380: Loss = 0.01337056141346693, lr = [0.0001] +[2024-05-16 06:34:25,852] - INFO: Epoch 769/9999, Iter 38400: Loss = 0.00977212656289339, lr = [0.0001] +[2024-05-16 06:34:43,126] - INFO: Epoch 769/9999, Iter 38420: Loss = 0.019105911254882812, lr = [0.0001] +[2024-05-16 06:35:01,405] - INFO: Epoch 769/9999, Iter 38440: Loss = 0.020167995244264603, lr = [0.0001] +[2024-05-16 06:35:20,516] - INFO: Epoch 770/9999, Iter 38460: Loss = 0.01251154113560915, lr = [0.0001] +[2024-05-16 06:35:38,623] - INFO: Epoch 770/9999, Iter 38480: Loss = 0.013925198465585709, lr = [0.0001] +[2024-05-16 06:35:55,536] - INFO: Evaluate at epoch 770! +[2024-05-16 06:35:58,991] - INFO: Eval PSNR (max): 37.748 (615) SSIM (max): 0.9598 (645) +[2024-05-16 06:35:58,991] - INFO: Eval PSNR (current): 37.514 (770) SSIM (current): 0.9596 (770) +[2024-05-16 06:35:58,991] - INFO: Evaluation over. +[2024-05-16 06:36:05,070] - INFO: Epoch 771/9999, Iter 38500: Loss = 0.014232567511498928, lr = [0.0001] +[2024-05-16 06:36:22,794] - INFO: Epoch 771/9999, Iter 38520: Loss = 0.012713588774204254, lr = [0.0001] +[2024-05-16 06:36:40,088] - INFO: Epoch 771/9999, Iter 38540: Loss = 0.012469273991882801, lr = [0.0001] +[2024-05-16 06:36:59,276] - INFO: Epoch 772/9999, Iter 38560: Loss = 0.01484864391386509, lr = [0.0001] +[2024-05-16 06:37:16,800] - INFO: Epoch 772/9999, Iter 38580: Loss = 0.012369489297270775, lr = [0.0001] +[2024-05-16 06:37:35,885] - INFO: Epoch 773/9999, Iter 38600: Loss = 0.014641474932432175, lr = [0.0001] +[2024-05-16 06:37:53,926] - INFO: Epoch 773/9999, Iter 38620: Loss = 0.016120148822665215, lr = [0.0001] +[2024-05-16 06:38:11,995] - INFO: Epoch 773/9999, Iter 38640: Loss = 0.01537744514644146, lr = [0.0001] +[2024-05-16 06:38:31,188] - INFO: Epoch 774/9999, Iter 38660: Loss = 0.01759066805243492, lr = [0.0001] +[2024-05-16 06:38:48,600] - INFO: Epoch 774/9999, Iter 38680: Loss = 0.0152388671413064, lr = [0.0001] +[2024-05-16 06:39:07,678] - INFO: Epoch 775/9999, Iter 38700: Loss = 0.009405584074556828, lr = [0.0001] +[2024-05-16 06:39:25,776] - INFO: Epoch 775/9999, Iter 38720: Loss = 0.017661169171333313, lr = [0.0001] +[2024-05-16 06:39:43,282] - INFO: Epoch 775/9999, Iter 38740: Loss = 0.013707304373383522, lr = [0.0001] +[2024-05-16 06:39:50,791] - INFO: Evaluate at epoch 775! +[2024-05-16 06:39:58,254] - INFO: Eval PSNR (max): 37.748 (615) SSIM (max): 0.9599 (775) +[2024-05-16 06:39:58,255] - INFO: Eval PSNR (current): 37.732 (775) SSIM (current): 0.9599 (775) +[2024-05-16 06:39:58,255] - INFO: Evaluation over. +[2024-05-16 06:40:13,069] - INFO: Epoch 776/9999, Iter 38760: Loss = 0.01322408951818943, lr = [0.0001] +[2024-05-16 06:40:30,047] - INFO: Epoch 776/9999, Iter 38780: Loss = 0.011312549002468586, lr = [0.0001] +[2024-05-16 06:40:49,421] - INFO: Epoch 777/9999, Iter 38800: Loss = 0.014899891801178455, lr = [0.0001] +[2024-05-16 06:41:07,171] - INFO: Epoch 777/9999, Iter 38820: Loss = 0.01640491373836994, lr = [0.0001] +[2024-05-16 06:41:24,938] - INFO: Epoch 777/9999, Iter 38840: Loss = 0.014135614968836308, lr = [0.0001] +[2024-05-16 06:41:44,142] - INFO: Epoch 778/9999, Iter 38860: Loss = 0.012985147535800934, lr = [0.0001] +[2024-05-16 06:42:01,882] - INFO: Epoch 778/9999, Iter 38880: Loss = 0.013455218635499477, lr = [0.0001] +[2024-05-16 06:42:21,257] - INFO: Epoch 779/9999, Iter 38900: Loss = 0.006238533649593592, lr = [0.0001] +[2024-05-16 06:42:38,966] - INFO: Epoch 779/9999, Iter 38920: Loss = 0.01195280347019434, lr = [0.0001] +[2024-05-16 06:42:56,012] - INFO: Epoch 779/9999, Iter 38940: Loss = 0.018056927248835564, lr = [0.0001] +[2024-05-16 06:43:15,319] - INFO: Epoch 780/9999, Iter 38960: Loss = 0.021831976249814034, lr = [0.0001] +[2024-05-16 06:43:33,453] - INFO: Epoch 780/9999, Iter 38980: Loss = 0.017523610964417458, lr = [0.0001] +[2024-05-16 06:43:50,325] - INFO: Evaluate at epoch 780! +[2024-05-16 06:43:53,799] - INFO: Eval PSNR (max): 37.748 (615) SSIM (max): 0.9599 (775) +[2024-05-16 06:43:53,799] - INFO: Eval PSNR (current): 37.686 (780) SSIM (current): 0.9596 (780) +[2024-05-16 06:43:53,799] - INFO: Evaluation over. +[2024-05-16 06:43:59,759] - INFO: Epoch 781/9999, Iter 39000: Loss = 0.01326003111898899, lr = [0.0001] +[2024-05-16 06:44:17,192] - INFO: Epoch 781/9999, Iter 39020: Loss = 0.012174244038760662, lr = [0.0001] +[2024-05-16 06:44:34,456] - INFO: Epoch 781/9999, Iter 39040: Loss = 0.009731533005833626, lr = [0.0001] +[2024-05-16 06:44:53,420] - INFO: Epoch 782/9999, Iter 39060: Loss = 0.014217648655176163, lr = [0.0001] +[2024-05-16 06:45:10,692] - INFO: Epoch 782/9999, Iter 39080: Loss = 0.010218368843197823, lr = [0.0001] +[2024-05-16 06:45:29,746] - INFO: Epoch 783/9999, Iter 39100: Loss = 0.015335485339164734, lr = [0.0001] +[2024-05-16 06:45:47,398] - INFO: Epoch 783/9999, Iter 39120: Loss = 0.013662885874509811, lr = [0.0001] +[2024-05-16 06:46:05,689] - INFO: Epoch 783/9999, Iter 39140: Loss = 0.014741016551852226, lr = [0.0001] +[2024-05-16 06:46:25,042] - INFO: Epoch 784/9999, Iter 39160: Loss = 0.020338155329227448, lr = [0.0001] +[2024-05-16 06:46:43,126] - INFO: Epoch 784/9999, Iter 39180: Loss = 0.01471034437417984, lr = [0.0001] +[2024-05-16 06:47:02,007] - INFO: Epoch 785/9999, Iter 39200: Loss = 0.01147898007184267, lr = [0.0001] +[2024-05-16 06:47:19,003] - INFO: Epoch 785/9999, Iter 39220: Loss = 0.020504068583250046, lr = [0.0001] +[2024-05-16 06:47:36,523] - INFO: Epoch 785/9999, Iter 39240: Loss = 0.012964683584868908, lr = [0.0001] +[2024-05-16 06:47:44,643] - INFO: Evaluate at epoch 785! +[2024-05-16 06:47:48,185] - INFO: Eval PSNR (max): 37.748 (615) SSIM (max): 0.9599 (775) +[2024-05-16 06:47:48,185] - INFO: Eval PSNR (current): 37.644 (785) SSIM (current): 0.9595 (785) +[2024-05-16 06:47:48,185] - INFO: Evaluation over. +[2024-05-16 06:48:02,927] - INFO: Epoch 786/9999, Iter 39260: Loss = 0.010347324423491955, lr = [0.0001] +[2024-05-16 06:48:20,446] - INFO: Epoch 786/9999, Iter 39280: Loss = 0.014843819662928581, lr = [0.0001] +[2024-05-16 06:48:39,644] - INFO: Epoch 787/9999, Iter 39300: Loss = 0.01375022903084755, lr = [0.0001] +[2024-05-16 06:48:57,432] - INFO: Epoch 787/9999, Iter 39320: Loss = 0.016000354662537575, lr = [0.0001] +[2024-05-16 06:49:14,859] - INFO: Epoch 787/9999, Iter 39340: Loss = 0.00842418521642685, lr = [0.0001] +[2024-05-16 06:49:33,631] - INFO: Epoch 788/9999, Iter 39360: Loss = 0.014863468706607819, lr = [0.0001] +[2024-05-16 06:49:50,371] - INFO: Epoch 788/9999, Iter 39380: Loss = 0.013055576011538506, lr = [0.0001] +[2024-05-16 06:50:09,667] - INFO: Epoch 789/9999, Iter 39400: Loss = 0.020006045699119568, lr = [0.0001] +[2024-05-16 06:50:28,235] - INFO: Epoch 789/9999, Iter 39420: Loss = 0.011846986599266529, lr = [0.0001] +[2024-05-16 06:50:45,672] - INFO: Epoch 789/9999, Iter 39440: Loss = 0.01567182131111622, lr = [0.0001] +[2024-05-16 06:51:04,394] - INFO: Epoch 790/9999, Iter 39460: Loss = 0.014867911115288734, lr = [0.0001] +[2024-05-16 06:51:21,837] - INFO: Epoch 790/9999, Iter 39480: Loss = 0.01640690676867962, lr = [0.0001] +[2024-05-16 06:51:38,421] - INFO: Evaluate at epoch 790! +[2024-05-16 06:51:42,042] - INFO: Eval PSNR (max): 37.748 (615) SSIM (max): 0.9599 (775) +[2024-05-16 06:51:42,043] - INFO: Eval PSNR (current): 37.730 (790) SSIM (current): 0.9598 (790) +[2024-05-16 06:51:42,043] - INFO: Evaluation over. +[2024-05-16 06:51:48,069] - INFO: Epoch 791/9999, Iter 39500: Loss = 0.011873232200741768, lr = [0.0001] +[2024-05-16 06:52:05,784] - INFO: Epoch 791/9999, Iter 39520: Loss = 0.013291968032717705, lr = [0.0001] +[2024-05-16 06:52:24,002] - INFO: Epoch 791/9999, Iter 39540: Loss = 0.010578596964478493, lr = [0.0001] +[2024-05-16 06:52:42,625] - INFO: Epoch 792/9999, Iter 39560: Loss = 0.021961946040391922, lr = [0.0001] +[2024-05-16 06:53:00,214] - INFO: Epoch 792/9999, Iter 39580: Loss = 0.015231291763484478, lr = [0.0001] +[2024-05-16 06:53:19,645] - INFO: Epoch 793/9999, Iter 39600: Loss = 0.008175987750291824, lr = [0.0001] +[2024-05-16 06:53:36,912] - INFO: Epoch 793/9999, Iter 39620: Loss = 0.021226702257990837, lr = [0.0001] +[2024-05-16 06:53:55,251] - INFO: Epoch 793/9999, Iter 39640: Loss = 0.016253042966127396, lr = [0.0001] +[2024-05-16 06:54:14,134] - INFO: Epoch 794/9999, Iter 39660: Loss = 0.014669610187411308, lr = [0.0001] +[2024-05-16 06:54:32,258] - INFO: Epoch 794/9999, Iter 39680: Loss = 0.015307703986763954, lr = [0.0001] +[2024-05-16 06:54:51,036] - INFO: Epoch 795/9999, Iter 39700: Loss = 0.010916383005678654, lr = [0.0001] +[2024-05-16 06:55:08,708] - INFO: Epoch 795/9999, Iter 39720: Loss = 0.012716792523860931, lr = [0.0001] +[2024-05-16 06:55:26,805] - INFO: Epoch 795/9999, Iter 39740: Loss = 0.017037399113178253, lr = [0.0001] +[2024-05-16 06:55:34,751] - INFO: Evaluate at epoch 795! +[2024-05-16 06:55:38,245] - INFO: Eval PSNR (max): 37.748 (615) SSIM (max): 0.9599 (775) +[2024-05-16 06:55:38,246] - INFO: Eval PSNR (current): 37.471 (795) SSIM (current): 0.9597 (795) +[2024-05-16 06:55:38,246] - INFO: Evaluation over. +[2024-05-16 06:55:53,226] - INFO: Epoch 796/9999, Iter 39760: Loss = 0.012580214999616146, lr = [0.0001] +[2024-05-16 06:56:10,904] - INFO: Epoch 796/9999, Iter 39780: Loss = 0.011019645258784294, lr = [0.0001] +[2024-05-16 06:56:30,137] - INFO: Epoch 797/9999, Iter 39800: Loss = 0.015166271477937698, lr = [0.0001] +[2024-05-16 06:56:47,986] - INFO: Epoch 797/9999, Iter 39820: Loss = 0.011049467138946056, lr = [0.0001] +[2024-05-16 06:57:05,864] - INFO: Epoch 797/9999, Iter 39840: Loss = 0.008357063867151737, lr = [0.0001] +[2024-05-16 06:57:25,367] - INFO: Epoch 798/9999, Iter 39860: Loss = 0.01714126393198967, lr = [0.0001] +[2024-05-16 06:57:42,491] - INFO: Epoch 798/9999, Iter 39880: Loss = 0.015415096655488014, lr = [0.0001] +[2024-05-16 06:58:01,687] - INFO: Epoch 799/9999, Iter 39900: Loss = 0.013302690349519253, lr = [0.0001] +[2024-05-16 06:58:19,878] - INFO: Epoch 799/9999, Iter 39920: Loss = 0.007517903111875057, lr = [0.0001] +[2024-05-16 06:58:37,480] - INFO: Epoch 799/9999, Iter 39940: Loss = 0.014239608310163021, lr = [0.0001] +[2024-05-16 06:58:55,751] - INFO: Epoch 800/9999, Iter 39960: Loss = 0.014178038574755192, lr = [0.0001] +[2024-05-16 06:59:12,799] - INFO: Epoch 800/9999, Iter 39980: Loss = 0.013041412457823753, lr = [0.0001] +[2024-05-16 06:59:30,275] - INFO: Evaluate at epoch 800! +[2024-05-16 06:59:33,760] - INFO: Eval PSNR (max): 37.748 (615) SSIM (max): 0.9599 (775) +[2024-05-16 06:59:33,760] - INFO: Eval PSNR (current): 37.694 (800) SSIM (current): 0.9597 (800) +[2024-05-16 06:59:33,760] - INFO: Evaluation over. +[2024-05-16 06:59:39,775] - INFO: Epoch 801/9999, Iter 40000: Loss = 0.02137010358273983, lr = [0.0001] +[2024-05-16 06:59:57,821] - INFO: Epoch 801/9999, Iter 40020: Loss = 0.014760048128664494, lr = [0.0001] +[2024-05-16 07:00:15,484] - INFO: Epoch 801/9999, Iter 40040: Loss = 0.013885692693293095, lr = [0.0001] +[2024-05-16 07:00:34,852] - INFO: Epoch 802/9999, Iter 40060: Loss = 0.012233912944793701, lr = [0.0001] +[2024-05-16 07:00:52,659] - INFO: Epoch 802/9999, Iter 40080: Loss = 0.013283687643706799, lr = [0.0001] +[2024-05-16 07:01:11,440] - INFO: Epoch 803/9999, Iter 40100: Loss = 0.019861161708831787, lr = [0.0001] +[2024-05-16 07:01:29,766] - INFO: Epoch 803/9999, Iter 40120: Loss = 0.01564696617424488, lr = [0.0001] +[2024-05-16 07:01:47,490] - INFO: Epoch 803/9999, Iter 40140: Loss = 0.015935422852635384, lr = [0.0001] +[2024-05-16 07:02:06,620] - INFO: Epoch 804/9999, Iter 40160: Loss = 0.015180609188973904, lr = [0.0001] +[2024-05-16 07:02:24,671] - INFO: Epoch 804/9999, Iter 40180: Loss = 0.011126460507512093, lr = [0.0001] +[2024-05-16 07:02:43,429] - INFO: Epoch 805/9999, Iter 40200: Loss = 0.013109213672578335, lr = [0.0001] +[2024-05-16 07:03:01,460] - INFO: Epoch 805/9999, Iter 40220: Loss = 0.014427296817302704, lr = [0.0001] +[2024-05-16 07:03:19,635] - INFO: Epoch 805/9999, Iter 40240: Loss = 0.02353333868086338, lr = [0.0001] +[2024-05-16 07:03:27,135] - INFO: Evaluate at epoch 805! +[2024-05-16 07:03:34,609] - INFO: Eval PSNR (max): 37.748 (615) SSIM (max): 0.9600 (805) +[2024-05-16 07:03:34,609] - INFO: Eval PSNR (current): 37.738 (805) SSIM (current): 0.9600 (805) +[2024-05-16 07:03:34,609] - INFO: Evaluation over. +[2024-05-16 07:03:50,003] - INFO: Epoch 806/9999, Iter 40260: Loss = 0.01192079670727253, lr = [0.0001] +[2024-05-16 07:04:07,997] - INFO: Epoch 806/9999, Iter 40280: Loss = 0.008450556546449661, lr = [0.0001] +[2024-05-16 07:04:26,900] - INFO: Epoch 807/9999, Iter 40300: Loss = 0.01860952004790306, lr = [0.0001] +[2024-05-16 07:04:44,604] - INFO: Epoch 807/9999, Iter 40320: Loss = 0.015400993637740612, lr = [0.0001] +[2024-05-16 07:05:02,672] - INFO: Epoch 807/9999, Iter 40340: Loss = 0.01505160704255104, lr = [0.0001] +[2024-05-16 07:05:21,674] - INFO: Epoch 808/9999, Iter 40360: Loss = 0.019681628793478012, lr = [0.0001] +[2024-05-16 07:05:39,137] - INFO: Epoch 808/9999, Iter 40380: Loss = 0.009803880006074905, lr = [0.0001] +[2024-05-16 07:05:57,936] - INFO: Epoch 809/9999, Iter 40400: Loss = 0.013573363423347473, lr = [0.0001] +[2024-05-16 07:06:15,652] - INFO: Epoch 809/9999, Iter 40420: Loss = 0.021961402148008347, lr = [0.0001] +[2024-05-16 07:06:33,493] - INFO: Epoch 809/9999, Iter 40440: Loss = 0.01101597398519516, lr = [0.0001] +[2024-05-16 07:06:52,328] - INFO: Epoch 810/9999, Iter 40460: Loss = 0.012254087254405022, lr = [0.0001] +[2024-05-16 07:07:10,594] - INFO: Epoch 810/9999, Iter 40480: Loss = 0.013925587758421898, lr = [0.0001] +[2024-05-16 07:07:26,908] - INFO: Evaluate at epoch 810! +[2024-05-16 07:07:34,078] - INFO: Eval PSNR (max): 37.748 (615) SSIM (max): 0.9600 (810) +[2024-05-16 07:07:34,078] - INFO: Eval PSNR (current): 37.729 (810) SSIM (current): 0.9600 (810) +[2024-05-16 07:07:34,078] - INFO: Evaluation over. +[2024-05-16 07:07:40,092] - INFO: Epoch 811/9999, Iter 40500: Loss = 0.010189102962613106, lr = [0.0001] +[2024-05-16 07:07:58,312] - INFO: Epoch 811/9999, Iter 40520: Loss = 0.008420846424996853, lr = [0.0001] +[2024-05-16 07:08:16,274] - INFO: Epoch 811/9999, Iter 40540: Loss = 0.008271402679383755, lr = [0.0001] +[2024-05-16 07:08:35,573] - INFO: Epoch 812/9999, Iter 40560: Loss = 0.009511265903711319, lr = [0.0001] +[2024-05-16 07:08:53,683] - INFO: Epoch 812/9999, Iter 40580: Loss = 0.011728882789611816, lr = [0.0001] +[2024-05-16 07:09:12,537] - INFO: Epoch 813/9999, Iter 40600: Loss = 0.011116518639028072, lr = [0.0001] +[2024-05-16 07:09:29,647] - INFO: Epoch 813/9999, Iter 40620: Loss = 0.015959005802869797, lr = [0.0001] +[2024-05-16 07:09:47,616] - INFO: Epoch 813/9999, Iter 40640: Loss = 0.014150685630738735, lr = [0.0001] +[2024-05-16 07:10:06,314] - INFO: Epoch 814/9999, Iter 40660: Loss = 0.013810348697006702, lr = [0.0001] +[2024-05-16 07:10:23,966] - INFO: Epoch 814/9999, Iter 40680: Loss = 0.01828135922551155, lr = [0.0001] +[2024-05-16 07:10:43,224] - INFO: Epoch 815/9999, Iter 40700: Loss = 0.014928435906767845, lr = [0.0001] +[2024-05-16 07:11:00,344] - INFO: Epoch 815/9999, Iter 40720: Loss = 0.01689845882356167, lr = [0.0001] +[2024-05-16 07:11:17,855] - INFO: Epoch 815/9999, Iter 40740: Loss = 0.015905771404504776, lr = [0.0001] +[2024-05-16 07:11:25,687] - INFO: Evaluate at epoch 815! +[2024-05-16 07:11:29,330] - INFO: Eval PSNR (max): 37.748 (615) SSIM (max): 0.9600 (810) +[2024-05-16 07:11:29,330] - INFO: Eval PSNR (current): 37.676 (815) SSIM (current): 0.9596 (815) +[2024-05-16 07:11:29,330] - INFO: Evaluation over. +[2024-05-16 07:11:44,576] - INFO: Epoch 816/9999, Iter 40760: Loss = 0.016072873026132584, lr = [0.0001] +[2024-05-16 07:12:02,074] - INFO: Epoch 816/9999, Iter 40780: Loss = 0.009036353789269924, lr = [0.0001] +[2024-05-16 07:12:21,071] - INFO: Epoch 817/9999, Iter 40800: Loss = 0.010903115384280682, lr = [0.0001] +[2024-05-16 07:12:39,537] - INFO: Epoch 817/9999, Iter 40820: Loss = 0.010289167985320091, lr = [0.0001] +[2024-05-16 07:12:56,938] - INFO: Epoch 817/9999, Iter 40840: Loss = 0.01666695438325405, lr = [0.0001] +[2024-05-16 07:13:16,105] - INFO: Epoch 818/9999, Iter 40860: Loss = 0.015364241786301136, lr = [0.0001] +[2024-05-16 07:13:34,000] - INFO: Epoch 818/9999, Iter 40880: Loss = 0.013971464708447456, lr = [0.0001] +[2024-05-16 07:13:52,749] - INFO: Epoch 819/9999, Iter 40900: Loss = 0.018330318853259087, lr = [0.0001] +[2024-05-16 07:14:10,854] - INFO: Epoch 819/9999, Iter 40920: Loss = 0.017689255997538567, lr = [0.0001] +[2024-05-16 07:14:28,655] - INFO: Epoch 819/9999, Iter 40940: Loss = 0.011523742228746414, lr = [0.0001] +[2024-05-16 07:14:47,851] - INFO: Epoch 820/9999, Iter 40960: Loss = 0.009184310212731361, lr = [0.0001] +[2024-05-16 07:15:05,243] - INFO: Epoch 820/9999, Iter 40980: Loss = 0.00973560381680727, lr = [0.0001] +[2024-05-16 07:15:22,037] - INFO: Evaluate at epoch 820! +[2024-05-16 07:15:25,525] - INFO: Eval PSNR (max): 37.748 (615) SSIM (max): 0.9600 (810) +[2024-05-16 07:15:25,526] - INFO: Eval PSNR (current): 37.729 (820) SSIM (current): 0.9599 (820) +[2024-05-16 07:15:25,526] - INFO: Evaluation over. +[2024-05-16 07:15:31,504] - INFO: Epoch 821/9999, Iter 41000: Loss = 0.012838023714721203, lr = [0.0001] +[2024-05-16 07:15:49,082] - INFO: Epoch 821/9999, Iter 41020: Loss = 0.011903231032192707, lr = [0.0001] +[2024-05-16 07:16:07,721] - INFO: Epoch 821/9999, Iter 41040: Loss = 0.013379818759858608, lr = [0.0001] +[2024-05-16 07:16:26,918] - INFO: Epoch 822/9999, Iter 41060: Loss = 0.012940089218318462, lr = [0.0001] +[2024-05-16 07:16:45,090] - INFO: Epoch 822/9999, Iter 41080: Loss = 0.01604553498327732, lr = [0.0001] +[2024-05-16 07:17:04,293] - INFO: Epoch 823/9999, Iter 41100: Loss = 0.015122422948479652, lr = [0.0001] +[2024-05-16 07:17:22,208] - INFO: Epoch 823/9999, Iter 41120: Loss = 0.011984235607087612, lr = [0.0001] +[2024-05-16 07:17:40,026] - INFO: Epoch 823/9999, Iter 41140: Loss = 0.01590566337108612, lr = [0.0001] +[2024-05-16 07:17:58,718] - INFO: Epoch 824/9999, Iter 41160: Loss = 0.020348740741610527, lr = [0.0001] +[2024-05-16 07:18:16,730] - INFO: Epoch 824/9999, Iter 41180: Loss = 0.021635670214891434, lr = [0.0001] +[2024-05-16 07:18:36,129] - INFO: Epoch 825/9999, Iter 41200: Loss = 0.014136231504380703, lr = [0.0001] +[2024-05-16 07:18:53,806] - INFO: Epoch 825/9999, Iter 41220: Loss = 0.017594000324606895, lr = [0.0001] +[2024-05-16 07:19:12,251] - INFO: Epoch 825/9999, Iter 41240: Loss = 0.012530880980193615, lr = [0.0001] +[2024-05-16 07:19:19,862] - INFO: Evaluate at epoch 825! +[2024-05-16 07:19:30,662] - INFO: Eval PSNR (max): 37.790 (825) SSIM (max): 0.9601 (825) +[2024-05-16 07:19:30,663] - INFO: Eval PSNR (current): 37.790 (825) SSIM (current): 0.9601 (825) +[2024-05-16 07:19:30,663] - INFO: Evaluation over. +[2024-05-16 07:19:46,096] - INFO: Epoch 826/9999, Iter 41260: Loss = 0.013421307317912579, lr = [0.0001] +[2024-05-16 07:20:03,384] - INFO: Epoch 826/9999, Iter 41280: Loss = 0.014491450041532516, lr = [0.0001] +[2024-05-16 07:20:22,688] - INFO: Epoch 827/9999, Iter 41300: Loss = 0.008499556221067905, lr = [0.0001] +[2024-05-16 07:20:40,401] - INFO: Epoch 827/9999, Iter 41320: Loss = 0.0203972477465868, lr = [0.0001] +[2024-05-16 07:20:57,224] - INFO: Epoch 827/9999, Iter 41340: Loss = 0.01312329899519682, lr = [0.0001] +[2024-05-16 07:21:16,928] - INFO: Epoch 828/9999, Iter 41360: Loss = 0.017892077565193176, lr = [0.0001] +[2024-05-16 07:21:34,697] - INFO: Epoch 828/9999, Iter 41380: Loss = 0.015180305577814579, lr = [0.0001] +[2024-05-16 07:21:54,145] - INFO: Epoch 829/9999, Iter 41400: Loss = 0.011786929331719875, lr = [0.0001] +[2024-05-16 07:22:12,418] - INFO: Epoch 829/9999, Iter 41420: Loss = 0.011303014121949673, lr = [0.0001] +[2024-05-16 07:22:30,455] - INFO: Epoch 829/9999, Iter 41440: Loss = 0.01055146660655737, lr = [0.0001] +[2024-05-16 07:22:49,253] - INFO: Epoch 830/9999, Iter 41460: Loss = 0.01753549464046955, lr = [0.0001] +[2024-05-16 07:23:07,187] - INFO: Epoch 830/9999, Iter 41480: Loss = 0.018361659720540047, lr = [0.0001] +[2024-05-16 07:23:23,610] - INFO: Evaluate at epoch 830! +[2024-05-16 07:23:27,049] - INFO: Eval PSNR (max): 37.790 (825) SSIM (max): 0.9601 (825) +[2024-05-16 07:23:27,049] - INFO: Eval PSNR (current): 37.670 (830) SSIM (current): 0.9597 (830) +[2024-05-16 07:23:27,049] - INFO: Evaluation over. +[2024-05-16 07:23:33,061] - INFO: Epoch 831/9999, Iter 41500: Loss = 0.013515911996364594, lr = [0.0001] +[2024-05-16 07:23:51,581] - INFO: Epoch 831/9999, Iter 41520: Loss = 0.014767061918973923, lr = [0.0001] +[2024-05-16 07:24:09,304] - INFO: Epoch 831/9999, Iter 41540: Loss = 0.015670975670218468, lr = [0.0001] +[2024-05-16 07:24:28,241] - INFO: Epoch 832/9999, Iter 41560: Loss = 0.0100846067070961, lr = [0.0001] +[2024-05-16 07:24:45,575] - INFO: Epoch 832/9999, Iter 41580: Loss = 0.015063749626278877, lr = [0.0001] +[2024-05-16 07:25:04,589] - INFO: Epoch 833/9999, Iter 41600: Loss = 0.016171691939234734, lr = [0.0001] +[2024-05-16 07:25:22,056] - INFO: Epoch 833/9999, Iter 41620: Loss = 0.020287461578845978, lr = [0.0001] +[2024-05-16 07:25:39,612] - INFO: Epoch 833/9999, Iter 41640: Loss = 0.007969790138304234, lr = [0.0001] +[2024-05-16 07:25:59,118] - INFO: Epoch 834/9999, Iter 41660: Loss = 0.011922351084649563, lr = [0.0001] +[2024-05-16 07:26:16,868] - INFO: Epoch 834/9999, Iter 41680: Loss = 0.012333272024989128, lr = [0.0001] +[2024-05-16 07:26:36,009] - INFO: Epoch 835/9999, Iter 41700: Loss = 0.015813950449228287, lr = [0.0001] +[2024-05-16 07:26:53,800] - INFO: Epoch 835/9999, Iter 41720: Loss = 0.017841745167970657, lr = [0.0001] +[2024-05-16 07:27:11,805] - INFO: Epoch 835/9999, Iter 41740: Loss = 0.007313443813472986, lr = [0.0001] +[2024-05-16 07:27:19,528] - INFO: Evaluate at epoch 835! +[2024-05-16 07:27:23,317] - INFO: Eval PSNR (max): 37.790 (825) SSIM (max): 0.9601 (825) +[2024-05-16 07:27:23,317] - INFO: Eval PSNR (current): 37.768 (835) SSIM (current): 0.9600 (835) +[2024-05-16 07:27:23,318] - INFO: Evaluation over. +[2024-05-16 07:27:38,726] - INFO: Epoch 836/9999, Iter 41760: Loss = 0.011362439952790737, lr = [0.0001] +[2024-05-16 07:27:56,238] - INFO: Epoch 836/9999, Iter 41780: Loss = 0.010987563990056515, lr = [0.0001] +[2024-05-16 07:28:15,524] - INFO: Epoch 837/9999, Iter 41800: Loss = 0.006928679067641497, lr = [0.0001] +[2024-05-16 07:28:32,557] - INFO: Epoch 837/9999, Iter 41820: Loss = 0.01418475341051817, lr = [0.0001] +[2024-05-16 07:28:49,954] - INFO: Epoch 837/9999, Iter 41840: Loss = 0.015040642581880093, lr = [0.0001] +[2024-05-16 07:29:09,185] - INFO: Epoch 838/9999, Iter 41860: Loss = 0.014665084891021252, lr = [0.0001] +[2024-05-16 07:29:27,008] - INFO: Epoch 838/9999, Iter 41880: Loss = 0.019220102578401566, lr = [0.0001] +[2024-05-16 07:29:45,976] - INFO: Epoch 839/9999, Iter 41900: Loss = 0.012498480267822742, lr = [0.0001] +[2024-05-16 07:30:03,092] - INFO: Epoch 839/9999, Iter 41920: Loss = 0.012635487131774426, lr = [0.0001] +[2024-05-16 07:30:20,922] - INFO: Epoch 839/9999, Iter 41940: Loss = 0.016816457733511925, lr = [0.0001] +[2024-05-16 07:30:40,264] - INFO: Epoch 840/9999, Iter 41960: Loss = 0.015568583272397518, lr = [0.0001] +[2024-05-16 07:30:58,515] - INFO: Epoch 840/9999, Iter 41980: Loss = 0.011186499148607254, lr = [0.0001] +[2024-05-16 07:31:15,061] - INFO: Evaluate at epoch 840! +[2024-05-16 07:31:18,641] - INFO: Eval PSNR (max): 37.790 (825) SSIM (max): 0.9601 (825) +[2024-05-16 07:31:18,641] - INFO: Eval PSNR (current): 37.726 (840) SSIM (current): 0.9599 (840) +[2024-05-16 07:31:18,641] - INFO: Evaluation over. +[2024-05-16 07:31:24,604] - INFO: Epoch 841/9999, Iter 42000: Loss = 0.015025165863335133, lr = [0.0001] +[2024-05-16 07:31:42,605] - INFO: Epoch 841/9999, Iter 42020: Loss = 0.017975853756070137, lr = [0.0001] +[2024-05-16 07:32:00,855] - INFO: Epoch 841/9999, Iter 42040: Loss = 0.014404714107513428, lr = [0.0001] +[2024-05-16 07:32:19,534] - INFO: Epoch 842/9999, Iter 42060: Loss = 0.01517671812325716, lr = [0.0001] +[2024-05-16 07:32:37,235] - INFO: Epoch 842/9999, Iter 42080: Loss = 0.02197878435254097, lr = [0.0001] +[2024-05-16 07:32:57,048] - INFO: Epoch 843/9999, Iter 42100: Loss = 0.018897617235779762, lr = [0.0001] +[2024-05-16 07:33:14,293] - INFO: Epoch 843/9999, Iter 42120: Loss = 0.00997776910662651, lr = [0.0001] +[2024-05-16 07:33:31,332] - INFO: Epoch 843/9999, Iter 42140: Loss = 0.011880561709403992, lr = [0.0001] +[2024-05-16 07:33:51,288] - INFO: Epoch 844/9999, Iter 42160: Loss = 0.011574627831578255, lr = [0.0001] +[2024-05-16 07:34:09,799] - INFO: Epoch 844/9999, Iter 42180: Loss = 0.011275891214609146, lr = [0.0001] +[2024-05-16 07:34:28,328] - INFO: Epoch 845/9999, Iter 42200: Loss = 0.01490446925163269, lr = [0.0001] +[2024-05-16 07:34:45,900] - INFO: Epoch 845/9999, Iter 42220: Loss = 0.010654343292117119, lr = [0.0001] +[2024-05-16 07:35:03,363] - INFO: Epoch 845/9999, Iter 42240: Loss = 0.01411194633692503, lr = [0.0001] +[2024-05-16 07:35:10,834] - INFO: Evaluate at epoch 845! +[2024-05-16 07:35:14,457] - INFO: Eval PSNR (max): 37.790 (825) SSIM (max): 0.9601 (825) +[2024-05-16 07:35:14,457] - INFO: Eval PSNR (current): 37.625 (845) SSIM (current): 0.9597 (845) +[2024-05-16 07:35:14,457] - INFO: Evaluation over. +[2024-05-16 07:35:29,115] - INFO: Epoch 846/9999, Iter 42260: Loss = 0.010405073873698711, lr = [0.0001] +[2024-05-16 07:35:46,596] - INFO: Epoch 846/9999, Iter 42280: Loss = 0.014519970864057541, lr = [0.0001] +[2024-05-16 07:36:06,326] - INFO: Epoch 847/9999, Iter 42300: Loss = 0.019380273297429085, lr = [0.0001] +[2024-05-16 07:36:24,150] - INFO: Epoch 847/9999, Iter 42320: Loss = 0.016098957508802414, lr = [0.0001] +[2024-05-16 07:36:42,157] - INFO: Epoch 847/9999, Iter 42340: Loss = 0.011272318661212921, lr = [0.0001] +[2024-05-16 07:37:01,179] - INFO: Epoch 848/9999, Iter 42360: Loss = 0.013358675874769688, lr = [0.0001] +[2024-05-16 07:37:18,351] - INFO: Epoch 848/9999, Iter 42380: Loss = 0.014794611372053623, lr = [0.0001] +[2024-05-16 07:37:37,465] - INFO: Epoch 849/9999, Iter 42400: Loss = 0.019352365285158157, lr = [0.0001] +[2024-05-16 07:37:54,653] - INFO: Epoch 849/9999, Iter 42420: Loss = 0.01844255067408085, lr = [0.0001] +[2024-05-16 07:38:12,124] - INFO: Epoch 849/9999, Iter 42440: Loss = 0.011774253100156784, lr = [0.0001] +[2024-05-16 07:38:31,344] - INFO: Epoch 850/9999, Iter 42460: Loss = 0.019060885533690453, lr = [0.0001] +[2024-05-16 07:38:48,505] - INFO: Epoch 850/9999, Iter 42480: Loss = 0.01764056272804737, lr = [0.0001] +[2024-05-16 07:39:04,777] - INFO: Evaluate at epoch 850! +[2024-05-16 07:39:08,291] - INFO: Eval PSNR (max): 37.790 (825) SSIM (max): 0.9601 (825) +[2024-05-16 07:39:08,291] - INFO: Eval PSNR (current): 37.701 (850) SSIM (current): 0.9599 (850) +[2024-05-16 07:39:08,291] - INFO: Evaluation over. +[2024-05-16 07:39:14,716] - INFO: Epoch 851/9999, Iter 42500: Loss = 0.014747416600584984, lr = [0.0001] +[2024-05-16 07:39:31,804] - INFO: Epoch 851/9999, Iter 42520: Loss = 0.011225627735257149, lr = [0.0001] +[2024-05-16 07:39:48,688] - INFO: Epoch 851/9999, Iter 42540: Loss = 0.019887195900082588, lr = [0.0001] +[2024-05-16 07:40:07,807] - INFO: Epoch 852/9999, Iter 42560: Loss = 0.013501355424523354, lr = [0.0001] +[2024-05-16 07:40:26,155] - INFO: Epoch 852/9999, Iter 42580: Loss = 0.013666818849742413, lr = [0.0001] +[2024-05-16 07:40:44,713] - INFO: Epoch 853/9999, Iter 42600: Loss = 0.011715144850313663, lr = [0.0001] +[2024-05-16 07:41:02,256] - INFO: Epoch 853/9999, Iter 42620: Loss = 0.013026379980146885, lr = [0.0001] +[2024-05-16 07:41:20,100] - INFO: Epoch 853/9999, Iter 42640: Loss = 0.009904526174068451, lr = [0.0001] +[2024-05-16 07:41:39,618] - INFO: Epoch 854/9999, Iter 42660: Loss = 0.009769503027200699, lr = [0.0001] +[2024-05-16 07:41:57,473] - INFO: Epoch 854/9999, Iter 42680: Loss = 0.01409123558551073, lr = [0.0001] +[2024-05-16 07:42:16,530] - INFO: Epoch 855/9999, Iter 42700: Loss = 0.011354546993970871, lr = [0.0001] +[2024-05-16 07:42:34,492] - INFO: Epoch 855/9999, Iter 42720: Loss = 0.00853821076452732, lr = [0.0001] +[2024-05-16 07:42:52,536] - INFO: Epoch 855/9999, Iter 42740: Loss = 0.017203981056809425, lr = [0.0001] +[2024-05-16 07:43:00,194] - INFO: Evaluate at epoch 855! +[2024-05-16 07:43:03,823] - INFO: Eval PSNR (max): 37.790 (825) SSIM (max): 0.9601 (825) +[2024-05-16 07:43:03,823] - INFO: Eval PSNR (current): 37.592 (855) SSIM (current): 0.9593 (855) +[2024-05-16 07:43:03,823] - INFO: Evaluation over. +[2024-05-16 07:43:19,182] - INFO: Epoch 856/9999, Iter 42760: Loss = 0.012077966704964638, lr = [0.0001] +[2024-05-16 07:43:36,964] - INFO: Epoch 856/9999, Iter 42780: Loss = 0.013685215264558792, lr = [0.0001] +[2024-05-16 07:43:55,936] - INFO: Epoch 857/9999, Iter 42800: Loss = 0.019083837047219276, lr = [0.0001] +[2024-05-16 07:44:13,140] - INFO: Epoch 857/9999, Iter 42820: Loss = 0.015490362420678139, lr = [0.0001] +[2024-05-16 07:44:30,311] - INFO: Epoch 857/9999, Iter 42840: Loss = 0.012200276367366314, lr = [0.0001] +[2024-05-16 07:44:49,259] - INFO: Epoch 858/9999, Iter 42860: Loss = 0.020149147137999535, lr = [0.0001] +[2024-05-16 07:45:06,355] - INFO: Epoch 858/9999, Iter 42880: Loss = 0.01393392588943243, lr = [0.0001] +[2024-05-16 07:45:26,108] - INFO: Epoch 859/9999, Iter 42900: Loss = 0.017021574079990387, lr = [0.0001] +[2024-05-16 07:45:43,764] - INFO: Epoch 859/9999, Iter 42920: Loss = 0.016109555959701538, lr = [0.0001] +[2024-05-16 07:46:00,748] - INFO: Epoch 859/9999, Iter 42940: Loss = 0.013573127798736095, lr = [0.0001] +[2024-05-16 07:46:20,115] - INFO: Epoch 860/9999, Iter 42960: Loss = 0.016764778643846512, lr = [0.0001] +[2024-05-16 07:46:38,251] - INFO: Epoch 860/9999, Iter 42980: Loss = 0.010040088556706905, lr = [0.0001] +[2024-05-16 07:46:55,200] - INFO: Evaluate at epoch 860! +[2024-05-16 07:46:58,628] - INFO: Eval PSNR (max): 37.790 (825) SSIM (max): 0.9601 (825) +[2024-05-16 07:46:58,628] - INFO: Eval PSNR (current): 37.733 (860) SSIM (current): 0.9598 (860) +[2024-05-16 07:46:58,628] - INFO: Evaluation over. +[2024-05-16 07:47:04,944] - INFO: Epoch 861/9999, Iter 43000: Loss = 0.013591073453426361, lr = [0.0001] +[2024-05-16 07:47:22,564] - INFO: Epoch 861/9999, Iter 43020: Loss = 0.010344081558287144, lr = [0.0001] +[2024-05-16 07:47:40,600] - INFO: Epoch 861/9999, Iter 43040: Loss = 0.013503816910088062, lr = [0.0001] +[2024-05-16 07:47:59,688] - INFO: Epoch 862/9999, Iter 43060: Loss = 0.011811364442110062, lr = [0.0001] +[2024-05-16 07:48:18,046] - INFO: Epoch 862/9999, Iter 43080: Loss = 0.011948583647608757, lr = [0.0001] +[2024-05-16 07:48:36,881] - INFO: Epoch 863/9999, Iter 43100: Loss = 0.011947269551455975, lr = [0.0001] +[2024-05-16 07:48:54,679] - INFO: Epoch 863/9999, Iter 43120: Loss = 0.016001684591174126, lr = [0.0001] +[2024-05-16 07:49:11,796] - INFO: Epoch 863/9999, Iter 43140: Loss = 0.015206594951450825, lr = [0.0001] +[2024-05-16 07:49:30,964] - INFO: Epoch 864/9999, Iter 43160: Loss = 0.017957869917154312, lr = [0.0001] +[2024-05-16 07:49:49,121] - INFO: Epoch 864/9999, Iter 43180: Loss = 0.015167837031185627, lr = [0.0001] +[2024-05-16 07:50:07,988] - INFO: Epoch 865/9999, Iter 43200: Loss = 0.012336545623838902, lr = [0.0001] +[2024-05-16 07:50:25,511] - INFO: Epoch 865/9999, Iter 43220: Loss = 0.012299129739403725, lr = [0.0001] +[2024-05-16 07:50:43,108] - INFO: Epoch 865/9999, Iter 43240: Loss = 0.012350965291261673, lr = [0.0001] +[2024-05-16 07:50:50,943] - INFO: Evaluate at epoch 865! +[2024-05-16 07:50:54,569] - INFO: Eval PSNR (max): 37.790 (825) SSIM (max): 0.9601 (825) +[2024-05-16 07:50:54,570] - INFO: Eval PSNR (current): 37.739 (865) SSIM (current): 0.9599 (865) +[2024-05-16 07:50:54,570] - INFO: Evaluation over. +[2024-05-16 07:51:09,934] - INFO: Epoch 866/9999, Iter 43260: Loss = 0.013553670607507229, lr = [0.0001] +[2024-05-16 07:51:27,587] - INFO: Epoch 866/9999, Iter 43280: Loss = 0.012955623678863049, lr = [0.0001] +[2024-05-16 07:51:46,508] - INFO: Epoch 867/9999, Iter 43300: Loss = 0.013052020221948624, lr = [0.0001] +[2024-05-16 07:52:04,730] - INFO: Epoch 867/9999, Iter 43320: Loss = 0.010397215373814106, lr = [0.0001] +[2024-05-16 07:52:22,957] - INFO: Epoch 867/9999, Iter 43340: Loss = 0.014672673307359219, lr = [0.0001] +[2024-05-16 07:52:41,746] - INFO: Epoch 868/9999, Iter 43360: Loss = 0.010543703101575375, lr = [0.0001] +[2024-05-16 07:52:59,901] - INFO: Epoch 868/9999, Iter 43380: Loss = 0.007883197627961636, lr = [0.0001] +[2024-05-16 07:53:18,917] - INFO: Epoch 869/9999, Iter 43400: Loss = 0.014025180600583553, lr = [0.0001] +[2024-05-16 07:53:36,367] - INFO: Epoch 869/9999, Iter 43420: Loss = 0.010803936049342155, lr = [0.0001] +[2024-05-16 07:53:54,236] - INFO: Epoch 869/9999, Iter 43440: Loss = 0.014680135995149612, lr = [0.0001] +[2024-05-16 07:54:13,170] - INFO: Epoch 870/9999, Iter 43460: Loss = 0.01775168441236019, lr = [0.0001] +[2024-05-16 07:54:31,092] - INFO: Epoch 870/9999, Iter 43480: Loss = 0.018131470307707787, lr = [0.0001] +[2024-05-16 07:54:47,965] - INFO: Evaluate at epoch 870! +[2024-05-16 07:54:51,622] - INFO: Eval PSNR (max): 37.790 (825) SSIM (max): 0.9601 (825) +[2024-05-16 07:54:51,622] - INFO: Eval PSNR (current): 37.750 (870) SSIM (current): 0.9599 (870) +[2024-05-16 07:54:51,622] - INFO: Evaluation over. +[2024-05-16 07:54:57,513] - INFO: Epoch 871/9999, Iter 43500: Loss = 0.023722268640995026, lr = [0.0001] +[2024-05-16 07:55:14,811] - INFO: Epoch 871/9999, Iter 43520: Loss = 0.020656390115618706, lr = [0.0001] +[2024-05-16 07:55:32,328] - INFO: Epoch 871/9999, Iter 43540: Loss = 0.011889325454831123, lr = [0.0001] +[2024-05-16 07:55:51,012] - INFO: Epoch 872/9999, Iter 43560: Loss = 0.014609385281801224, lr = [0.0001] +[2024-05-16 07:56:11,380] - INFO: Epoch 872/9999, Iter 43580: Loss = 0.01042875088751316, lr = [0.0001] +[2024-05-16 07:56:30,551] - INFO: Epoch 873/9999, Iter 43600: Loss = 0.01351286843419075, lr = [0.0001] +[2024-05-16 07:56:48,572] - INFO: Epoch 873/9999, Iter 43620: Loss = 0.008574928157031536, lr = [0.0001] +[2024-05-16 07:57:06,764] - INFO: Epoch 873/9999, Iter 43640: Loss = 0.013981640338897705, lr = [0.0001] +[2024-05-16 07:57:25,056] - INFO: Epoch 874/9999, Iter 43660: Loss = 0.008924050256609917, lr = [0.0001] +[2024-05-16 07:57:42,569] - INFO: Epoch 874/9999, Iter 43680: Loss = 0.017163483425974846, lr = [0.0001] +[2024-05-16 07:58:01,483] - INFO: Epoch 875/9999, Iter 43700: Loss = 0.008476887829601765, lr = [0.0001] +[2024-05-16 07:58:18,684] - INFO: Epoch 875/9999, Iter 43720: Loss = 0.01174638420343399, lr = [0.0001] +[2024-05-16 07:58:36,737] - INFO: Epoch 875/9999, Iter 43740: Loss = 0.01878216117620468, lr = [0.0001] +[2024-05-16 07:58:44,350] - INFO: Evaluate at epoch 875! +[2024-05-16 07:58:47,870] - INFO: Eval PSNR (max): 37.790 (825) SSIM (max): 0.9601 (825) +[2024-05-16 07:58:47,870] - INFO: Eval PSNR (current): 37.666 (875) SSIM (current): 0.9596 (875) +[2024-05-16 07:58:47,870] - INFO: Evaluation over. +[2024-05-16 07:59:02,328] - INFO: Epoch 876/9999, Iter 43760: Loss = 0.015158341266214848, lr = [0.0001] +[2024-05-16 07:59:19,949] - INFO: Epoch 876/9999, Iter 43780: Loss = 0.012662465684115887, lr = [0.0001] +[2024-05-16 07:59:38,945] - INFO: Epoch 877/9999, Iter 43800: Loss = 0.01272211130708456, lr = [0.0001] +[2024-05-16 07:59:56,562] - INFO: Epoch 877/9999, Iter 43820: Loss = 0.009602040983736515, lr = [0.0001] +[2024-05-16 08:00:14,621] - INFO: Epoch 877/9999, Iter 43840: Loss = 0.013529530726373196, lr = [0.0001] +[2024-05-16 08:00:33,280] - INFO: Epoch 878/9999, Iter 43860: Loss = 0.010983694344758987, lr = [0.0001] +[2024-05-16 08:00:51,125] - INFO: Epoch 878/9999, Iter 43880: Loss = 0.012044893577694893, lr = [0.0001] +[2024-05-16 08:01:09,972] - INFO: Epoch 879/9999, Iter 43900: Loss = 0.014876238070428371, lr = [0.0001] +[2024-05-16 08:01:26,812] - INFO: Epoch 879/9999, Iter 43920: Loss = 0.014180022291839123, lr = [0.0001] +[2024-05-16 08:01:44,071] - INFO: Epoch 879/9999, Iter 43940: Loss = 0.017080390825867653, lr = [0.0001] +[2024-05-16 08:02:03,924] - INFO: Epoch 880/9999, Iter 43960: Loss = 0.011244363151490688, lr = [0.0001] +[2024-05-16 08:02:21,092] - INFO: Epoch 880/9999, Iter 43980: Loss = 0.012421839870512486, lr = [0.0001] +[2024-05-16 08:02:37,767] - INFO: Evaluate at epoch 880! +[2024-05-16 08:02:41,324] - INFO: Eval PSNR (max): 37.790 (825) SSIM (max): 0.9601 (825) +[2024-05-16 08:02:41,324] - INFO: Eval PSNR (current): 37.741 (880) SSIM (current): 0.9598 (880) +[2024-05-16 08:02:41,324] - INFO: Evaluation over. +[2024-05-16 08:02:47,316] - INFO: Epoch 881/9999, Iter 44000: Loss = 0.017286159098148346, lr = [0.0001] +[2024-05-16 08:03:06,183] - INFO: Epoch 881/9999, Iter 44020: Loss = 0.012372772209346294, lr = [0.0001] +[2024-05-16 08:03:24,179] - INFO: Epoch 881/9999, Iter 44040: Loss = 0.008901698514819145, lr = [0.0001] +[2024-05-16 08:03:42,896] - INFO: Epoch 882/9999, Iter 44060: Loss = 0.010035144165158272, lr = [0.0001] +[2024-05-16 08:04:00,463] - INFO: Epoch 882/9999, Iter 44080: Loss = 0.011071068234741688, lr = [0.0001] +[2024-05-16 08:04:19,268] - INFO: Epoch 883/9999, Iter 44100: Loss = 0.01079389825463295, lr = [0.0001] +[2024-05-16 08:04:37,580] - INFO: Epoch 883/9999, Iter 44120: Loss = 0.013454288244247437, lr = [0.0001] +[2024-05-16 08:04:55,629] - INFO: Epoch 883/9999, Iter 44140: Loss = 0.009921811521053314, lr = [0.0001] +[2024-05-16 08:05:14,252] - INFO: Epoch 884/9999, Iter 44160: Loss = 0.012716971337795258, lr = [0.0001] +[2024-05-16 08:05:31,740] - INFO: Epoch 884/9999, Iter 44180: Loss = 0.009242329746484756, lr = [0.0001] +[2024-05-16 08:05:50,976] - INFO: Epoch 885/9999, Iter 44200: Loss = 0.010650508105754852, lr = [0.0001] +[2024-05-16 08:06:09,067] - INFO: Epoch 885/9999, Iter 44220: Loss = 0.014043564908206463, lr = [0.0001] +[2024-05-16 08:06:26,022] - INFO: Epoch 885/9999, Iter 44240: Loss = 0.009361175820231438, lr = [0.0001] +[2024-05-16 08:06:33,911] - INFO: Evaluate at epoch 885! +[2024-05-16 08:06:37,375] - INFO: Eval PSNR (max): 37.790 (825) SSIM (max): 0.9601 (825) +[2024-05-16 08:06:37,376] - INFO: Eval PSNR (current): 37.467 (885) SSIM (current): 0.9592 (885) +[2024-05-16 08:06:37,376] - INFO: Evaluation over. +[2024-05-16 08:06:52,388] - INFO: Epoch 886/9999, Iter 44260: Loss = 0.01172329019755125, lr = [0.0001] +[2024-05-16 08:07:10,392] - INFO: Epoch 886/9999, Iter 44280: Loss = 0.011476592160761356, lr = [0.0001] +[2024-05-16 08:07:29,540] - INFO: Epoch 887/9999, Iter 44300: Loss = 0.013993453234434128, lr = [0.0001] +[2024-05-16 08:07:47,488] - INFO: Epoch 887/9999, Iter 44320: Loss = 0.01808258518576622, lr = [0.0001] +[2024-05-16 08:08:05,439] - INFO: Epoch 887/9999, Iter 44340: Loss = 0.010542867705225945, lr = [0.0001] +[2024-05-16 08:08:24,415] - INFO: Epoch 888/9999, Iter 44360: Loss = 0.012135523371398449, lr = [0.0001] +[2024-05-16 08:08:41,987] - INFO: Epoch 888/9999, Iter 44380: Loss = 0.009649837389588356, lr = [0.0001] +[2024-05-16 08:09:00,800] - INFO: Epoch 889/9999, Iter 44400: Loss = 0.013259518891572952, lr = [0.0001] +[2024-05-16 08:09:17,715] - INFO: Epoch 889/9999, Iter 44420: Loss = 0.013729089871048927, lr = [0.0001] +[2024-05-16 08:09:35,492] - INFO: Epoch 889/9999, Iter 44440: Loss = 0.014032432809472084, lr = [0.0001] +[2024-05-16 08:09:54,172] - INFO: Epoch 890/9999, Iter 44460: Loss = 0.01991872861981392, lr = [0.0001] +[2024-05-16 08:10:11,774] - INFO: Epoch 890/9999, Iter 44480: Loss = 0.017372051253914833, lr = [0.0001] +[2024-05-16 08:10:28,502] - INFO: Evaluate at epoch 890! +[2024-05-16 08:10:32,127] - INFO: Eval PSNR (max): 37.790 (825) SSIM (max): 0.9601 (825) +[2024-05-16 08:10:32,127] - INFO: Eval PSNR (current): 37.686 (890) SSIM (current): 0.9598 (890) +[2024-05-16 08:10:32,127] - INFO: Evaluation over. +[2024-05-16 08:10:38,015] - INFO: Epoch 891/9999, Iter 44500: Loss = 0.016589464619755745, lr = [0.0001] +[2024-05-16 08:10:55,095] - INFO: Epoch 891/9999, Iter 44520: Loss = 0.014566577039659023, lr = [0.0001] +[2024-05-16 08:11:12,489] - INFO: Epoch 891/9999, Iter 44540: Loss = 0.012249471619725227, lr = [0.0001] +[2024-05-16 08:11:32,036] - INFO: Epoch 892/9999, Iter 44560: Loss = 0.011120080947875977, lr = [0.0001] +[2024-05-16 08:11:49,311] - INFO: Epoch 892/9999, Iter 44580: Loss = 0.009600484743714333, lr = [0.0001] +[2024-05-16 08:12:08,134] - INFO: Epoch 893/9999, Iter 44600: Loss = 0.014812685549259186, lr = [0.0001] +[2024-05-16 08:12:25,766] - INFO: Epoch 893/9999, Iter 44620: Loss = 0.018659938126802444, lr = [0.0001] +[2024-05-16 08:12:43,031] - INFO: Epoch 893/9999, Iter 44640: Loss = 0.010152965784072876, lr = [0.0001] +[2024-05-16 08:13:02,329] - INFO: Epoch 894/9999, Iter 44660: Loss = 0.01245832908898592, lr = [0.0001] +[2024-05-16 08:13:20,643] - INFO: Epoch 894/9999, Iter 44680: Loss = 0.014621259644627571, lr = [0.0001] +[2024-05-16 08:13:39,739] - INFO: Epoch 895/9999, Iter 44700: Loss = 0.01670253649353981, lr = [0.0001] +[2024-05-16 08:13:57,168] - INFO: Epoch 895/9999, Iter 44720: Loss = 0.013650963082909584, lr = [0.0001] +[2024-05-16 08:14:14,694] - INFO: Epoch 895/9999, Iter 44740: Loss = 0.01332124974578619, lr = [0.0001] +[2024-05-16 08:14:22,433] - INFO: Evaluate at epoch 895! +[2024-05-16 08:14:26,006] - INFO: Eval PSNR (max): 37.790 (825) SSIM (max): 0.9601 (825) +[2024-05-16 08:14:26,007] - INFO: Eval PSNR (current): 37.704 (895) SSIM (current): 0.9599 (895) +[2024-05-16 08:14:26,007] - INFO: Evaluation over. +[2024-05-16 08:14:41,124] - INFO: Epoch 896/9999, Iter 44760: Loss = 0.015810895711183548, lr = [0.0001] +[2024-05-16 08:14:59,096] - INFO: Epoch 896/9999, Iter 44780: Loss = 0.011506634764373302, lr = [0.0001] +[2024-05-16 08:15:17,528] - INFO: Epoch 897/9999, Iter 44800: Loss = 0.012070016004145145, lr = [0.0001] +[2024-05-16 08:15:35,415] - INFO: Epoch 897/9999, Iter 44820: Loss = 0.01545941736549139, lr = [0.0001] +[2024-05-16 08:15:53,142] - INFO: Epoch 897/9999, Iter 44840: Loss = 0.010453409515321255, lr = [0.0001] +[2024-05-16 08:16:11,519] - INFO: Epoch 898/9999, Iter 44860: Loss = 0.014264965429902077, lr = [0.0001] +[2024-05-16 08:16:29,115] - INFO: Epoch 898/9999, Iter 44880: Loss = 0.007472178433090448, lr = [0.0001] +[2024-05-16 08:16:48,616] - INFO: Epoch 899/9999, Iter 44900: Loss = 0.011607563123106956, lr = [0.0001] +[2024-05-16 08:17:06,096] - INFO: Epoch 899/9999, Iter 44920: Loss = 0.015666071325540543, lr = [0.0001] +[2024-05-16 08:17:24,212] - INFO: Epoch 899/9999, Iter 44940: Loss = 0.017679624259471893, lr = [0.0001] +[2024-05-16 08:17:43,134] - INFO: Epoch 900/9999, Iter 44960: Loss = 0.01619497686624527, lr = [0.0001] +[2024-05-16 08:18:01,025] - INFO: Epoch 900/9999, Iter 44980: Loss = 0.01728929579257965, lr = [0.0001] +[2024-05-16 08:18:17,771] - INFO: Evaluate at epoch 900! +[2024-05-16 08:18:21,210] - INFO: Eval PSNR (max): 37.790 (825) SSIM (max): 0.9601 (825) +[2024-05-16 08:18:21,210] - INFO: Eval PSNR (current): 37.723 (900) SSIM (current): 0.9599 (900) +[2024-05-16 08:18:21,211] - INFO: Evaluation over. +[2024-05-16 08:18:27,180] - INFO: Epoch 901/9999, Iter 45000: Loss = 0.01510713528841734, lr = [0.0001] +[2024-05-16 08:18:45,457] - INFO: Epoch 901/9999, Iter 45020: Loss = 0.01234184205532074, lr = [0.0001] +[2024-05-16 08:19:03,679] - INFO: Epoch 901/9999, Iter 45040: Loss = 0.018699420616030693, lr = [0.0001] +[2024-05-16 08:19:22,362] - INFO: Epoch 902/9999, Iter 45060: Loss = 0.019820718094706535, lr = [0.0001] +[2024-05-16 08:19:40,497] - INFO: Epoch 902/9999, Iter 45080: Loss = 0.013212821446359158, lr = [0.0001] +[2024-05-16 08:19:59,311] - INFO: Epoch 903/9999, Iter 45100: Loss = 0.010990045964717865, lr = [0.0001] +[2024-05-16 08:20:16,408] - INFO: Epoch 903/9999, Iter 45120: Loss = 0.015696099027991295, lr = [0.0001] +[2024-05-16 08:20:34,051] - INFO: Epoch 903/9999, Iter 45140: Loss = 0.011149496771395206, lr = [0.0001] +[2024-05-16 08:20:53,072] - INFO: Epoch 904/9999, Iter 45160: Loss = 0.013057556934654713, lr = [0.0001] +[2024-05-16 08:21:10,030] - INFO: Epoch 904/9999, Iter 45180: Loss = 0.013020914979279041, lr = [0.0001] +[2024-05-16 08:21:29,233] - INFO: Epoch 905/9999, Iter 45200: Loss = 0.015575342811644077, lr = [0.0001] +[2024-05-16 08:21:47,305] - INFO: Epoch 905/9999, Iter 45220: Loss = 0.009800148196518421, lr = [0.0001] +[2024-05-16 08:22:05,414] - INFO: Epoch 905/9999, Iter 45240: Loss = 0.015115887857973576, lr = [0.0001] +[2024-05-16 08:22:12,944] - INFO: Evaluate at epoch 905! +[2024-05-16 08:22:16,456] - INFO: Eval PSNR (max): 37.790 (825) SSIM (max): 0.9601 (825) +[2024-05-16 08:22:16,456] - INFO: Eval PSNR (current): 37.588 (905) SSIM (current): 0.9599 (905) +[2024-05-16 08:22:16,456] - INFO: Evaluation over. +[2024-05-16 08:22:31,152] - INFO: Epoch 906/9999, Iter 45260: Loss = 0.013047725893557072, lr = [0.0001] +[2024-05-16 08:22:49,255] - INFO: Epoch 906/9999, Iter 45280: Loss = 0.01280779205262661, lr = [0.0001] +[2024-05-16 08:23:08,259] - INFO: Epoch 907/9999, Iter 45300: Loss = 0.012375560589134693, lr = [0.0001] +[2024-05-16 08:23:25,945] - INFO: Epoch 907/9999, Iter 45320: Loss = 0.018534863367676735, lr = [0.0001] +[2024-05-16 08:23:43,879] - INFO: Epoch 907/9999, Iter 45340: Loss = 0.012759983539581299, lr = [0.0001] +[2024-05-16 08:24:02,624] - INFO: Epoch 908/9999, Iter 45360: Loss = 0.01468355767428875, lr = [0.0001] +[2024-05-16 08:24:20,432] - INFO: Epoch 908/9999, Iter 45380: Loss = 0.011995882727205753, lr = [0.0001] +[2024-05-16 08:24:39,207] - INFO: Epoch 909/9999, Iter 45400: Loss = 0.013251692987978458, lr = [0.0001] +[2024-05-16 08:24:56,526] - INFO: Epoch 909/9999, Iter 45420: Loss = 0.020216282457113266, lr = [0.0001] +[2024-05-16 08:25:13,956] - INFO: Epoch 909/9999, Iter 45440: Loss = 0.013530128635466099, lr = [0.0001] +[2024-05-16 08:25:32,306] - INFO: Epoch 910/9999, Iter 45460: Loss = 0.011890987865626812, lr = [0.0001] +[2024-05-16 08:25:49,804] - INFO: Epoch 910/9999, Iter 45480: Loss = 0.011086669750511646, lr = [0.0001] +[2024-05-16 08:26:06,247] - INFO: Evaluate at epoch 910! +[2024-05-16 08:26:09,724] - INFO: Eval PSNR (max): 37.790 (825) SSIM (max): 0.9601 (825) +[2024-05-16 08:26:09,724] - INFO: Eval PSNR (current): 37.757 (910) SSIM (current): 0.9599 (910) +[2024-05-16 08:26:09,724] - INFO: Evaluation over. +[2024-05-16 08:26:15,799] - INFO: Epoch 911/9999, Iter 45500: Loss = 0.009232806041836739, lr = [0.0001] +[2024-05-16 08:26:33,528] - INFO: Epoch 911/9999, Iter 45520: Loss = 0.012896445579826832, lr = [0.0001] +[2024-05-16 08:26:51,415] - INFO: Epoch 911/9999, Iter 45540: Loss = 0.022234691306948662, lr = [0.0001] +[2024-05-16 08:27:10,446] - INFO: Epoch 912/9999, Iter 45560: Loss = 0.019293762743473053, lr = [0.0001] +[2024-05-16 08:27:28,364] - INFO: Epoch 912/9999, Iter 45580: Loss = 0.011436066590249538, lr = [0.0001] +[2024-05-16 08:27:47,484] - INFO: Epoch 913/9999, Iter 45600: Loss = 0.010561274364590645, lr = [0.0001] +[2024-05-16 08:28:04,908] - INFO: Epoch 913/9999, Iter 45620: Loss = 0.012229515239596367, lr = [0.0001] +[2024-05-16 08:28:22,542] - INFO: Epoch 913/9999, Iter 45640: Loss = 0.021286947652697563, lr = [0.0001] +[2024-05-16 08:28:41,867] - INFO: Epoch 914/9999, Iter 45660: Loss = 0.014979747124016285, lr = [0.0001] +[2024-05-16 08:28:59,825] - INFO: Epoch 914/9999, Iter 45680: Loss = 0.015959031879901886, lr = [0.0001] +[2024-05-16 08:29:18,332] - INFO: Epoch 915/9999, Iter 45700: Loss = 0.012347185052931309, lr = [0.0001] +[2024-05-16 08:29:35,564] - INFO: Epoch 915/9999, Iter 45720: Loss = 0.012167171575129032, lr = [0.0001] +[2024-05-16 08:29:53,021] - INFO: Epoch 915/9999, Iter 45740: Loss = 0.009833031333982944, lr = [0.0001] +[2024-05-16 08:30:00,699] - INFO: Evaluate at epoch 915! +[2024-05-16 08:30:04,323] - INFO: Eval PSNR (max): 37.790 (825) SSIM (max): 0.9601 (825) +[2024-05-16 08:30:04,323] - INFO: Eval PSNR (current): 37.644 (915) SSIM (current): 0.9599 (915) +[2024-05-16 08:30:04,323] - INFO: Evaluation over. +[2024-05-16 08:30:18,398] - INFO: Epoch 916/9999, Iter 45760: Loss = 0.011490763165056705, lr = [0.0001] +[2024-05-16 08:30:36,593] - INFO: Epoch 916/9999, Iter 45780: Loss = 0.01051054522395134, lr = [0.0001] +[2024-05-16 08:30:56,156] - INFO: Epoch 917/9999, Iter 45800: Loss = 0.016088595613837242, lr = [0.0001] +[2024-05-16 08:31:13,375] - INFO: Epoch 917/9999, Iter 45820: Loss = 0.01860952563583851, lr = [0.0001] +[2024-05-16 08:31:30,656] - INFO: Epoch 917/9999, Iter 45840: Loss = 0.017940733581781387, lr = [0.0001] +[2024-05-16 08:31:50,017] - INFO: Epoch 918/9999, Iter 45860: Loss = 0.015495965257287025, lr = [0.0001] +[2024-05-16 08:32:08,064] - INFO: Epoch 918/9999, Iter 45880: Loss = 0.016204725950956345, lr = [0.0001] +[2024-05-16 08:32:27,295] - INFO: Epoch 919/9999, Iter 45900: Loss = 0.014824941754341125, lr = [0.0001] +[2024-05-16 08:32:45,167] - INFO: Epoch 919/9999, Iter 45920: Loss = 0.018384935334324837, lr = [0.0001] +[2024-05-16 08:33:02,148] - INFO: Epoch 919/9999, Iter 45940: Loss = 0.02198832668364048, lr = [0.0001] +[2024-05-16 08:33:21,765] - INFO: Epoch 920/9999, Iter 45960: Loss = 0.014905093237757683, lr = [0.0001] +[2024-05-16 08:33:39,538] - INFO: Epoch 920/9999, Iter 45980: Loss = 0.01353992335498333, lr = [0.0001] +[2024-05-16 08:33:56,174] - INFO: Evaluate at epoch 920! +[2024-05-16 08:33:59,782] - INFO: Eval PSNR (max): 37.790 (825) SSIM (max): 0.9601 (825) +[2024-05-16 08:33:59,782] - INFO: Eval PSNR (current): 37.639 (920) SSIM (current): 0.9595 (920) +[2024-05-16 08:33:59,782] - INFO: Evaluation over. +[2024-05-16 08:34:05,858] - INFO: Epoch 921/9999, Iter 46000: Loss = 0.009629929438233376, lr = [0.0001] +[2024-05-16 08:34:22,934] - INFO: Epoch 921/9999, Iter 46020: Loss = 0.013439158909022808, lr = [0.0001] +[2024-05-16 08:34:40,302] - INFO: Epoch 921/9999, Iter 46040: Loss = 0.018245000392198563, lr = [0.0001] +[2024-05-16 08:34:58,586] - INFO: Epoch 922/9999, Iter 46060: Loss = 0.0086384117603302, lr = [0.0001] +[2024-05-16 08:35:16,748] - INFO: Epoch 922/9999, Iter 46080: Loss = 0.00827805045992136, lr = [0.0001] +[2024-05-16 08:35:36,334] - INFO: Epoch 923/9999, Iter 46100: Loss = 0.0113492701202631, lr = [0.0001] +[2024-05-16 08:35:53,360] - INFO: Epoch 923/9999, Iter 46120: Loss = 0.015928752720355988, lr = [0.0001] +[2024-05-16 08:36:11,093] - INFO: Epoch 923/9999, Iter 46140: Loss = 0.00910972896963358, lr = [0.0001] +[2024-05-16 08:36:29,870] - INFO: Epoch 924/9999, Iter 46160: Loss = 0.01331851352006197, lr = [0.0001] +[2024-05-16 08:36:46,798] - INFO: Epoch 924/9999, Iter 46180: Loss = 0.012875765562057495, lr = [0.0001] +[2024-05-16 08:37:05,956] - INFO: Epoch 925/9999, Iter 46200: Loss = 0.008047237992286682, lr = [0.0001] +[2024-05-16 08:37:23,856] - INFO: Epoch 925/9999, Iter 46220: Loss = 0.009629623964428902, lr = [0.0001] +[2024-05-16 08:37:41,676] - INFO: Epoch 925/9999, Iter 46240: Loss = 0.016114672645926476, lr = [0.0001] +[2024-05-16 08:37:48,952] - INFO: Evaluate at epoch 925! +[2024-05-16 08:37:56,257] - INFO: Eval PSNR (max): 37.796 (925) SSIM (max): 0.9601 (825) +[2024-05-16 08:37:56,257] - INFO: Eval PSNR (current): 37.796 (925) SSIM (current): 0.9601 (925) +[2024-05-16 08:37:56,257] - INFO: Evaluation over. +[2024-05-16 08:38:10,892] - INFO: Epoch 926/9999, Iter 46260: Loss = 0.012493343092501163, lr = [0.0001] +[2024-05-16 08:38:28,775] - INFO: Epoch 926/9999, Iter 46280: Loss = 0.009204852394759655, lr = [0.0001] +[2024-05-16 08:38:47,880] - INFO: Epoch 927/9999, Iter 46300: Loss = 0.009935896843671799, lr = [0.0001] +[2024-05-16 08:39:06,112] - INFO: Epoch 927/9999, Iter 46320: Loss = 0.015699362382292747, lr = [0.0001] +[2024-05-16 08:39:23,867] - INFO: Epoch 927/9999, Iter 46340: Loss = 0.010558310896158218, lr = [0.0001] +[2024-05-16 08:39:42,904] - INFO: Epoch 928/9999, Iter 46360: Loss = 0.02309231460094452, lr = [0.0001] +[2024-05-16 08:40:00,393] - INFO: Epoch 928/9999, Iter 46380: Loss = 0.017033690586686134, lr = [0.0001] +[2024-05-16 08:40:19,227] - INFO: Epoch 929/9999, Iter 46400: Loss = 0.014938147738575935, lr = [0.0001] +[2024-05-16 08:40:36,896] - INFO: Epoch 929/9999, Iter 46420: Loss = 0.011366195045411587, lr = [0.0001] +[2024-05-16 08:40:54,477] - INFO: Epoch 929/9999, Iter 46440: Loss = 0.012401957996189594, lr = [0.0001] +[2024-05-16 08:41:13,232] - INFO: Epoch 930/9999, Iter 46460: Loss = 0.017714809626340866, lr = [0.0001] +[2024-05-16 08:41:30,213] - INFO: Epoch 930/9999, Iter 46480: Loss = 0.015409019775688648, lr = [0.0001] +[2024-05-16 08:41:47,167] - INFO: Evaluate at epoch 930! +[2024-05-16 08:41:50,742] - INFO: Eval PSNR (max): 37.796 (925) SSIM (max): 0.9601 (825) +[2024-05-16 08:41:50,743] - INFO: Eval PSNR (current): 37.730 (930) SSIM (current): 0.9598 (930) +[2024-05-16 08:41:50,743] - INFO: Evaluation over. +[2024-05-16 08:41:56,665] - INFO: Epoch 931/9999, Iter 46500: Loss = 0.00866409856826067, lr = [0.0001] +[2024-05-16 08:42:15,334] - INFO: Epoch 931/9999, Iter 46520: Loss = 0.01615649275481701, lr = [0.0001] +[2024-05-16 08:42:32,998] - INFO: Epoch 931/9999, Iter 46540: Loss = 0.014265839010477066, lr = [0.0001] +[2024-05-16 08:42:51,496] - INFO: Epoch 932/9999, Iter 46560: Loss = 0.023161426186561584, lr = [0.0001] +[2024-05-16 08:43:09,198] - INFO: Epoch 932/9999, Iter 46580: Loss = 0.010288335382938385, lr = [0.0001] +[2024-05-16 08:43:28,624] - INFO: Epoch 933/9999, Iter 46600: Loss = 0.011751691810786724, lr = [0.0001] +[2024-05-16 08:43:45,392] - INFO: Epoch 933/9999, Iter 46620: Loss = 0.01543295755982399, lr = [0.0001] +[2024-05-16 08:44:03,076] - INFO: Epoch 933/9999, Iter 46640: Loss = 0.009189174510538578, lr = [0.0001] +[2024-05-16 08:44:22,104] - INFO: Epoch 934/9999, Iter 46660: Loss = 0.011525489389896393, lr = [0.0001] +[2024-05-16 08:44:40,408] - INFO: Epoch 934/9999, Iter 46680: Loss = 0.018519971519708633, lr = [0.0001] +[2024-05-16 08:44:59,388] - INFO: Epoch 935/9999, Iter 46700: Loss = 0.00978037714958191, lr = [0.0001] +[2024-05-16 08:45:16,572] - INFO: Epoch 935/9999, Iter 46720: Loss = 0.008790181949734688, lr = [0.0001] +[2024-05-16 08:45:34,270] - INFO: Epoch 935/9999, Iter 46740: Loss = 0.011241693049669266, lr = [0.0001] +[2024-05-16 08:45:42,178] - INFO: Evaluate at epoch 935! +[2024-05-16 08:45:45,862] - INFO: Eval PSNR (max): 37.796 (925) SSIM (max): 0.9601 (825) +[2024-05-16 08:45:45,863] - INFO: Eval PSNR (current): 37.706 (935) SSIM (current): 0.9599 (935) +[2024-05-16 08:45:45,863] - INFO: Evaluation over. +[2024-05-16 08:46:00,956] - INFO: Epoch 936/9999, Iter 46760: Loss = 0.015054678544402122, lr = [0.0001] +[2024-05-16 08:46:18,906] - INFO: Epoch 936/9999, Iter 46780: Loss = 0.009905466809868813, lr = [0.0001] +[2024-05-16 08:46:38,176] - INFO: Epoch 937/9999, Iter 46800: Loss = 0.017097655683755875, lr = [0.0001] +[2024-05-16 08:46:55,488] - INFO: Epoch 937/9999, Iter 46820: Loss = 0.01295637246221304, lr = [0.0001] +[2024-05-16 08:47:12,717] - INFO: Epoch 937/9999, Iter 46840: Loss = 0.015124709345400333, lr = [0.0001] +[2024-05-16 08:47:31,694] - INFO: Epoch 938/9999, Iter 46860: Loss = 0.007494125049561262, lr = [0.0001] +[2024-05-16 08:47:49,541] - INFO: Epoch 938/9999, Iter 46880: Loss = 0.014588057063519955, lr = [0.0001] +[2024-05-16 08:48:08,393] - INFO: Epoch 939/9999, Iter 46900: Loss = 0.013969450257718563, lr = [0.0001] +[2024-05-16 08:48:26,180] - INFO: Epoch 939/9999, Iter 46920: Loss = 0.011057469993829727, lr = [0.0001] +[2024-05-16 08:48:43,934] - INFO: Epoch 939/9999, Iter 46940: Loss = 0.01080858614295721, lr = [0.0001] +[2024-05-16 08:49:03,153] - INFO: Epoch 940/9999, Iter 46960: Loss = 0.012129456736147404, lr = [0.0001] +[2024-05-16 08:49:23,692] - INFO: Epoch 940/9999, Iter 46980: Loss = 0.012967003509402275, lr = [0.0001] +[2024-05-16 08:49:40,418] - INFO: Evaluate at epoch 940! +[2024-05-16 08:49:44,214] - INFO: Eval PSNR (max): 37.796 (925) SSIM (max): 0.9601 (825) +[2024-05-16 08:49:44,214] - INFO: Eval PSNR (current): 37.738 (940) SSIM (current): 0.9598 (940) +[2024-05-16 08:49:44,214] - INFO: Evaluation over. +[2024-05-16 08:49:50,988] - INFO: Epoch 941/9999, Iter 47000: Loss = 0.015256403014063835, lr = [0.0001] +[2024-05-16 08:50:09,169] - INFO: Epoch 941/9999, Iter 47020: Loss = 0.01451275683939457, lr = [0.0001] +[2024-05-16 08:50:26,414] - INFO: Epoch 941/9999, Iter 47040: Loss = 0.014246518723666668, lr = [0.0001] +[2024-05-16 08:50:45,917] - INFO: Epoch 942/9999, Iter 47060: Loss = 0.015275120735168457, lr = [0.0001] +[2024-05-16 08:51:03,880] - INFO: Epoch 942/9999, Iter 47080: Loss = 0.009765582159161568, lr = [0.0001] +[2024-05-16 08:51:22,396] - INFO: Epoch 943/9999, Iter 47100: Loss = 0.011934846639633179, lr = [0.0001] +[2024-05-16 08:51:40,160] - INFO: Epoch 943/9999, Iter 47120: Loss = 0.011252463795244694, lr = [0.0001] +[2024-05-16 08:51:57,688] - INFO: Epoch 943/9999, Iter 47140: Loss = 0.011316114105284214, lr = [0.0001] +[2024-05-16 08:52:16,696] - INFO: Epoch 944/9999, Iter 47160: Loss = 0.01613953895866871, lr = [0.0001] +[2024-05-16 08:52:34,500] - INFO: Epoch 944/9999, Iter 47180: Loss = 0.01453393418341875, lr = [0.0001] +[2024-05-16 08:52:54,093] - INFO: Epoch 945/9999, Iter 47200: Loss = 0.01407077256590128, lr = [0.0001] +[2024-05-16 08:53:12,307] - INFO: Epoch 945/9999, Iter 47220: Loss = 0.013904910534620285, lr = [0.0001] +[2024-05-16 08:53:30,360] - INFO: Epoch 945/9999, Iter 47240: Loss = 0.011832323856651783, lr = [0.0001] +[2024-05-16 08:53:37,933] - INFO: Evaluate at epoch 945! +[2024-05-16 08:53:44,922] - INFO: Eval PSNR (max): 37.812 (945) SSIM (max): 0.9601 (825) +[2024-05-16 08:53:44,922] - INFO: Eval PSNR (current): 37.812 (945) SSIM (current): 0.9600 (945) +[2024-05-16 08:53:44,922] - INFO: Evaluation over. +[2024-05-16 08:53:59,483] - INFO: Epoch 946/9999, Iter 47260: Loss = 0.012413572520017624, lr = [0.0001] +[2024-05-16 08:54:17,458] - INFO: Epoch 946/9999, Iter 47280: Loss = 0.01208078395575285, lr = [0.0001] +[2024-05-16 08:54:35,911] - INFO: Epoch 947/9999, Iter 47300: Loss = 0.013424767181277275, lr = [0.0001] +[2024-05-16 08:54:53,949] - INFO: Epoch 947/9999, Iter 47320: Loss = 0.008549694903194904, lr = [0.0001] +[2024-05-16 08:55:11,109] - INFO: Epoch 947/9999, Iter 47340: Loss = 0.014140171930193901, lr = [0.0001] +[2024-05-16 08:55:30,636] - INFO: Epoch 948/9999, Iter 47360: Loss = 0.007621394470334053, lr = [0.0001] +[2024-05-16 08:55:48,687] - INFO: Epoch 948/9999, Iter 47380: Loss = 0.013571618124842644, lr = [0.0001] +[2024-05-16 08:56:07,630] - INFO: Epoch 949/9999, Iter 47400: Loss = 0.013688053004443645, lr = [0.0001] +[2024-05-16 08:56:24,788] - INFO: Epoch 949/9999, Iter 47420: Loss = 0.013887588866055012, lr = [0.0001] +[2024-05-16 08:56:42,352] - INFO: Epoch 949/9999, Iter 47440: Loss = 0.01002459041774273, lr = [0.0001] +[2024-05-16 08:57:01,152] - INFO: Epoch 950/9999, Iter 47460: Loss = 0.016987351700663567, lr = [0.0001] +[2024-05-16 08:57:19,244] - INFO: Epoch 950/9999, Iter 47480: Loss = 0.012865190394222736, lr = [0.0001] +[2024-05-16 08:57:35,587] - INFO: Evaluate at epoch 950! +[2024-05-16 08:57:46,556] - INFO: Eval PSNR (max): 37.815 (950) SSIM (max): 0.9602 (950) +[2024-05-16 08:57:46,556] - INFO: Eval PSNR (current): 37.815 (950) SSIM (current): 0.9602 (950) +[2024-05-16 08:57:46,556] - INFO: Evaluation over. +[2024-05-16 08:57:52,641] - INFO: Epoch 951/9999, Iter 47500: Loss = 0.012285704724490643, lr = [0.0001] +[2024-05-16 08:58:10,090] - INFO: Epoch 951/9999, Iter 47520: Loss = 0.013225121423602104, lr = [0.0001] +[2024-05-16 08:58:28,348] - INFO: Epoch 951/9999, Iter 47540: Loss = 0.015280942432582378, lr = [0.0001] +[2024-05-16 08:58:47,183] - INFO: Epoch 952/9999, Iter 47560: Loss = 0.00991759728640318, lr = [0.0001] +[2024-05-16 08:59:05,257] - INFO: Epoch 952/9999, Iter 47580: Loss = 0.014044675976037979, lr = [0.0001] +[2024-05-16 08:59:24,029] - INFO: Epoch 953/9999, Iter 47600: Loss = 0.011835217475891113, lr = [0.0001] +[2024-05-16 08:59:42,195] - INFO: Epoch 953/9999, Iter 47620: Loss = 0.011543311178684235, lr = [0.0001] +[2024-05-16 09:00:00,242] - INFO: Epoch 953/9999, Iter 47640: Loss = 0.01936711184680462, lr = [0.0001] +[2024-05-16 09:00:18,772] - INFO: Epoch 954/9999, Iter 47660: Loss = 0.016204101964831352, lr = [0.0001] +[2024-05-16 09:00:36,246] - INFO: Epoch 954/9999, Iter 47680: Loss = 0.00990218110382557, lr = [0.0001] +[2024-05-16 09:00:55,380] - INFO: Epoch 955/9999, Iter 47700: Loss = 0.012933443300426006, lr = [0.0001] +[2024-05-16 09:01:12,959] - INFO: Epoch 955/9999, Iter 47720: Loss = 0.014845656231045723, lr = [0.0001] +[2024-05-16 09:01:31,124] - INFO: Epoch 955/9999, Iter 47740: Loss = 0.013780161738395691, lr = [0.0001] +[2024-05-16 09:01:38,482] - INFO: Evaluate at epoch 955! +[2024-05-16 09:01:42,076] - INFO: Eval PSNR (max): 37.815 (950) SSIM (max): 0.9602 (950) +[2024-05-16 09:01:42,076] - INFO: Eval PSNR (current): 37.798 (955) SSIM (current): 0.9600 (955) +[2024-05-16 09:01:42,076] - INFO: Evaluation over. +[2024-05-16 09:01:57,301] - INFO: Epoch 956/9999, Iter 47760: Loss = 0.015967655926942825, lr = [0.0001] +[2024-05-16 09:02:15,128] - INFO: Epoch 956/9999, Iter 47780: Loss = 0.014838299714028835, lr = [0.0001] +[2024-05-16 09:02:34,416] - INFO: Epoch 957/9999, Iter 47800: Loss = 0.011502239853143692, lr = [0.0001] +[2024-05-16 09:02:52,414] - INFO: Epoch 957/9999, Iter 47820: Loss = 0.0235426165163517, lr = [0.0001] +[2024-05-16 09:03:09,424] - INFO: Epoch 957/9999, Iter 47840: Loss = 0.015387071296572685, lr = [0.0001] +[2024-05-16 09:03:28,291] - INFO: Epoch 958/9999, Iter 47860: Loss = 0.014813613146543503, lr = [0.0001] +[2024-05-16 09:03:45,896] - INFO: Epoch 958/9999, Iter 47880: Loss = 0.014060369692742825, lr = [0.0001] +[2024-05-16 09:04:04,416] - INFO: Epoch 959/9999, Iter 47900: Loss = 0.0157829150557518, lr = [0.0001] +[2024-05-16 09:04:21,758] - INFO: Epoch 959/9999, Iter 47920: Loss = 0.011927975341677666, lr = [0.0001] +[2024-05-16 09:04:39,134] - INFO: Epoch 959/9999, Iter 47940: Loss = 0.011293573305010796, lr = [0.0001] +[2024-05-16 09:04:57,980] - INFO: Epoch 960/9999, Iter 47960: Loss = 0.012586334720253944, lr = [0.0001] +[2024-05-16 09:05:16,348] - INFO: Epoch 960/9999, Iter 47980: Loss = 0.009225924499332905, lr = [0.0001] +[2024-05-16 09:05:32,749] - INFO: Evaluate at epoch 960! +[2024-05-16 09:05:36,196] - INFO: Eval PSNR (max): 37.815 (950) SSIM (max): 0.9602 (950) +[2024-05-16 09:05:36,196] - INFO: Eval PSNR (current): 37.740 (960) SSIM (current): 0.9597 (960) +[2024-05-16 09:05:36,196] - INFO: Evaluation over. +[2024-05-16 09:05:42,257] - INFO: Epoch 961/9999, Iter 48000: Loss = 0.010828106664121151, lr = [0.0001] +[2024-05-16 09:06:00,340] - INFO: Epoch 961/9999, Iter 48020: Loss = 0.01896759308874607, lr = [0.0001] +[2024-05-16 09:06:18,543] - INFO: Epoch 961/9999, Iter 48040: Loss = 0.01207821536809206, lr = [0.0001] +[2024-05-16 09:06:37,423] - INFO: Epoch 962/9999, Iter 48060: Loss = 0.019708119332790375, lr = [0.0001] +[2024-05-16 09:06:55,295] - INFO: Epoch 962/9999, Iter 48080: Loss = 0.01328382920473814, lr = [0.0001] +[2024-05-16 09:07:14,364] - INFO: Epoch 963/9999, Iter 48100: Loss = 0.011212218552827835, lr = [0.0001] +[2024-05-16 09:07:32,017] - INFO: Epoch 963/9999, Iter 48120: Loss = 0.015950480476021767, lr = [0.0001] +[2024-05-16 09:07:50,132] - INFO: Epoch 963/9999, Iter 48140: Loss = 0.016400177031755447, lr = [0.0001] +[2024-05-16 09:08:09,277] - INFO: Epoch 964/9999, Iter 48160: Loss = 0.01635732501745224, lr = [0.0001] +[2024-05-16 09:08:26,999] - INFO: Epoch 964/9999, Iter 48180: Loss = 0.015817131847143173, lr = [0.0001] +[2024-05-16 09:08:45,473] - INFO: Epoch 965/9999, Iter 48200: Loss = 0.014615862630307674, lr = [0.0001] +[2024-05-16 09:09:02,916] - INFO: Epoch 965/9999, Iter 48220: Loss = 0.013622213155031204, lr = [0.0001] +[2024-05-16 09:09:20,394] - INFO: Epoch 965/9999, Iter 48240: Loss = 0.013196513056755066, lr = [0.0001] +[2024-05-16 09:09:28,225] - INFO: Evaluate at epoch 965! +[2024-05-16 09:09:31,819] - INFO: Eval PSNR (max): 37.815 (950) SSIM (max): 0.9602 (950) +[2024-05-16 09:09:31,819] - INFO: Eval PSNR (current): 37.688 (965) SSIM (current): 0.9598 (965) +[2024-05-16 09:09:31,819] - INFO: Evaluation over. +[2024-05-16 09:09:46,392] - INFO: Epoch 966/9999, Iter 48260: Loss = 0.0115883843973279, lr = [0.0001] +[2024-05-16 09:10:04,989] - INFO: Epoch 966/9999, Iter 48280: Loss = 0.011247707530856133, lr = [0.0001] +[2024-05-16 09:10:24,004] - INFO: Epoch 967/9999, Iter 48300: Loss = 0.012638747692108154, lr = [0.0001] +[2024-05-16 09:10:42,016] - INFO: Epoch 967/9999, Iter 48320: Loss = 0.00955774262547493, lr = [0.0001] +[2024-05-16 09:10:59,304] - INFO: Epoch 967/9999, Iter 48340: Loss = 0.011201359331607819, lr = [0.0001] +[2024-05-16 09:11:18,315] - INFO: Epoch 968/9999, Iter 48360: Loss = 0.02150939404964447, lr = [0.0001] +[2024-05-16 09:11:36,888] - INFO: Epoch 968/9999, Iter 48380: Loss = 0.015616138465702534, lr = [0.0001] +[2024-05-16 09:11:55,699] - INFO: Epoch 969/9999, Iter 48400: Loss = 0.018197182565927505, lr = [0.0001] +[2024-05-16 09:12:13,564] - INFO: Epoch 969/9999, Iter 48420: Loss = 0.019677767530083656, lr = [0.0001] +[2024-05-16 09:12:31,480] - INFO: Epoch 969/9999, Iter 48440: Loss = 0.013302162289619446, lr = [0.0001] +[2024-05-16 09:12:50,476] - INFO: Epoch 970/9999, Iter 48460: Loss = 0.01462936494499445, lr = [0.0001] +[2024-05-16 09:13:08,337] - INFO: Epoch 970/9999, Iter 48480: Loss = 0.013414429500699043, lr = [0.0001] +[2024-05-16 09:13:25,144] - INFO: Evaluate at epoch 970! +[2024-05-16 09:13:32,377] - INFO: Eval PSNR (max): 37.815 (950) SSIM (max): 0.9602 (970) +[2024-05-16 09:13:32,378] - INFO: Eval PSNR (current): 37.813 (970) SSIM (current): 0.9602 (970) +[2024-05-16 09:13:32,378] - INFO: Evaluation over. +[2024-05-16 09:13:38,439] - INFO: Epoch 971/9999, Iter 48500: Loss = 0.009313703514635563, lr = [0.0001] +[2024-05-16 09:13:55,946] - INFO: Epoch 971/9999, Iter 48520: Loss = 0.017369749024510384, lr = [0.0001] +[2024-05-16 09:14:13,567] - INFO: Epoch 971/9999, Iter 48540: Loss = 0.016937684267759323, lr = [0.0001] +[2024-05-16 09:14:32,866] - INFO: Epoch 972/9999, Iter 48560: Loss = 0.01528797298669815, lr = [0.0001] +[2024-05-16 09:14:51,116] - INFO: Epoch 972/9999, Iter 48580: Loss = 0.017282258719205856, lr = [0.0001] +[2024-05-16 09:15:09,896] - INFO: Epoch 973/9999, Iter 48600: Loss = 0.012817619368433952, lr = [0.0001] +[2024-05-16 09:15:27,065] - INFO: Epoch 973/9999, Iter 48620: Loss = 0.018634850159287453, lr = [0.0001] +[2024-05-16 09:15:44,873] - INFO: Epoch 973/9999, Iter 48640: Loss = 0.01657787710428238, lr = [0.0001] +[2024-05-16 09:16:03,644] - INFO: Epoch 974/9999, Iter 48660: Loss = 0.010583817958831787, lr = [0.0001] +[2024-05-16 09:16:21,371] - INFO: Epoch 974/9999, Iter 48680: Loss = 0.01746087707579136, lr = [0.0001] +[2024-05-16 09:16:40,415] - INFO: Epoch 975/9999, Iter 48700: Loss = 0.01256096363067627, lr = [0.0001] +[2024-05-16 09:16:58,024] - INFO: Epoch 975/9999, Iter 48720: Loss = 0.012510238215327263, lr = [0.0001] +[2024-05-16 09:17:15,940] - INFO: Epoch 975/9999, Iter 48740: Loss = 0.00822759885340929, lr = [0.0001] +[2024-05-16 09:17:23,911] - INFO: Evaluate at epoch 975! +[2024-05-16 09:17:27,496] - INFO: Eval PSNR (max): 37.815 (950) SSIM (max): 0.9602 (970) +[2024-05-16 09:17:27,497] - INFO: Eval PSNR (current): 37.751 (975) SSIM (current): 0.9599 (975) +[2024-05-16 09:17:27,497] - INFO: Evaluation over. +[2024-05-16 09:17:42,287] - INFO: Epoch 976/9999, Iter 48760: Loss = 0.01174759678542614, lr = [0.0001] +[2024-05-16 09:18:00,332] - INFO: Epoch 976/9999, Iter 48780: Loss = 0.016027774661779404, lr = [0.0001] +[2024-05-16 09:18:19,732] - INFO: Epoch 977/9999, Iter 48800: Loss = 0.012329130433499813, lr = [0.0001] +[2024-05-16 09:18:37,440] - INFO: Epoch 977/9999, Iter 48820: Loss = 0.011838014237582684, lr = [0.0001] +[2024-05-16 09:18:54,977] - INFO: Epoch 977/9999, Iter 48840: Loss = 0.007723277900367975, lr = [0.0001] +[2024-05-16 09:19:14,061] - INFO: Epoch 978/9999, Iter 48860: Loss = 0.014094667509198189, lr = [0.0001] +[2024-05-16 09:19:31,876] - INFO: Epoch 978/9999, Iter 48880: Loss = 0.011870110407471657, lr = [0.0001] +[2024-05-16 09:19:50,984] - INFO: Epoch 979/9999, Iter 48900: Loss = 0.014843150973320007, lr = [0.0001] +[2024-05-16 09:20:09,235] - INFO: Epoch 979/9999, Iter 48920: Loss = 0.009325210936367512, lr = [0.0001] +[2024-05-16 09:20:26,832] - INFO: Epoch 979/9999, Iter 48940: Loss = 0.012056950479745865, lr = [0.0001] +[2024-05-16 09:20:46,071] - INFO: Epoch 980/9999, Iter 48960: Loss = 0.014192347414791584, lr = [0.0001] +[2024-05-16 09:21:03,695] - INFO: Epoch 980/9999, Iter 48980: Loss = 0.01673891209065914, lr = [0.0001] +[2024-05-16 09:21:20,638] - INFO: Evaluate at epoch 980! +[2024-05-16 09:21:24,158] - INFO: Eval PSNR (max): 37.815 (950) SSIM (max): 0.9602 (970) +[2024-05-16 09:21:24,159] - INFO: Eval PSNR (current): 37.756 (980) SSIM (current): 0.9600 (980) +[2024-05-16 09:21:24,159] - INFO: Evaluation over. +[2024-05-16 09:21:29,828] - INFO: Epoch 981/9999, Iter 49000: Loss = 0.007605762220919132, lr = [0.0001] +[2024-05-16 09:21:47,700] - INFO: Epoch 981/9999, Iter 49020: Loss = 0.010309206321835518, lr = [0.0001] +[2024-05-16 09:22:05,479] - INFO: Epoch 981/9999, Iter 49040: Loss = 0.014642602764070034, lr = [0.0001] +[2024-05-16 09:22:23,816] - INFO: Epoch 982/9999, Iter 49060: Loss = 0.010120557621121407, lr = [0.0001] +[2024-05-16 09:22:41,457] - INFO: Epoch 982/9999, Iter 49080: Loss = 0.01329012867063284, lr = [0.0001] +[2024-05-16 09:23:00,416] - INFO: Epoch 983/9999, Iter 49100: Loss = 0.015336507000029087, lr = [0.0001] +[2024-05-16 09:23:17,401] - INFO: Epoch 983/9999, Iter 49120: Loss = 0.013434946537017822, lr = [0.0001] +[2024-05-16 09:23:35,177] - INFO: Epoch 983/9999, Iter 49140: Loss = 0.008102857507765293, lr = [0.0001] +[2024-05-16 09:23:54,724] - INFO: Epoch 984/9999, Iter 49160: Loss = 0.01158355176448822, lr = [0.0001] +[2024-05-16 09:24:12,788] - INFO: Epoch 984/9999, Iter 49180: Loss = 0.012890954501926899, lr = [0.0001] +[2024-05-16 09:24:31,581] - INFO: Epoch 985/9999, Iter 49200: Loss = 0.010480090044438839, lr = [0.0001] +[2024-05-16 09:24:48,208] - INFO: Epoch 985/9999, Iter 49220: Loss = 0.012543126940727234, lr = [0.0001] +[2024-05-16 09:25:06,076] - INFO: Epoch 985/9999, Iter 49240: Loss = 0.013575470075011253, lr = [0.0001] +[2024-05-16 09:25:14,145] - INFO: Evaluate at epoch 985! +[2024-05-16 09:25:17,688] - INFO: Eval PSNR (max): 37.815 (950) SSIM (max): 0.9602 (970) +[2024-05-16 09:25:17,688] - INFO: Eval PSNR (current): 37.743 (985) SSIM (current): 0.9598 (985) +[2024-05-16 09:25:17,688] - INFO: Evaluation over. +[2024-05-16 09:25:32,519] - INFO: Epoch 986/9999, Iter 49260: Loss = 0.012758116237819195, lr = [0.0001] +[2024-05-16 09:25:49,926] - INFO: Epoch 986/9999, Iter 49280: Loss = 0.014772915281355381, lr = [0.0001] +[2024-05-16 09:26:09,133] - INFO: Epoch 987/9999, Iter 49300: Loss = 0.011341924779117107, lr = [0.0001] +[2024-05-16 09:26:26,858] - INFO: Epoch 987/9999, Iter 49320: Loss = 0.015018820762634277, lr = [0.0001] +[2024-05-16 09:26:44,131] - INFO: Epoch 987/9999, Iter 49340: Loss = 0.015044610016047955, lr = [0.0001] +[2024-05-16 09:27:03,077] - INFO: Epoch 988/9999, Iter 49360: Loss = 0.010123471729457378, lr = [0.0001] +[2024-05-16 09:27:20,473] - INFO: Epoch 988/9999, Iter 49380: Loss = 0.011763431131839752, lr = [0.0001] +[2024-05-16 09:27:39,644] - INFO: Epoch 989/9999, Iter 49400: Loss = 0.012250934727489948, lr = [0.0001] +[2024-05-16 09:27:57,475] - INFO: Epoch 989/9999, Iter 49420: Loss = 0.008701748214662075, lr = [0.0001] +[2024-05-16 09:28:15,558] - INFO: Epoch 989/9999, Iter 49440: Loss = 0.01729203760623932, lr = [0.0001] +[2024-05-16 09:28:33,808] - INFO: Epoch 990/9999, Iter 49460: Loss = 0.01835477352142334, lr = [0.0001] +[2024-05-16 09:28:51,332] - INFO: Epoch 990/9999, Iter 49480: Loss = 0.01903322897851467, lr = [0.0001] +[2024-05-16 09:29:08,692] - INFO: Evaluate at epoch 990! +[2024-05-16 09:29:12,342] - INFO: Eval PSNR (max): 37.815 (950) SSIM (max): 0.9602 (970) +[2024-05-16 09:29:12,342] - INFO: Eval PSNR (current): 37.753 (990) SSIM (current): 0.9598 (990) +[2024-05-16 09:29:12,343] - INFO: Evaluation over. +[2024-05-16 09:29:18,489] - INFO: Epoch 991/9999, Iter 49500: Loss = 0.010590463876724243, lr = [0.0001] +[2024-05-16 09:29:36,249] - INFO: Epoch 991/9999, Iter 49520: Loss = 0.015869049355387688, lr = [0.0001] +[2024-05-16 09:29:54,184] - INFO: Epoch 991/9999, Iter 49540: Loss = 0.009672016836702824, lr = [0.0001] +[2024-05-16 09:30:13,166] - INFO: Epoch 992/9999, Iter 49560: Loss = 0.014439490623772144, lr = [0.0001] +[2024-05-16 09:30:31,636] - INFO: Epoch 992/9999, Iter 49580: Loss = 0.00921840500086546, lr = [0.0001] +[2024-05-16 09:30:50,126] - INFO: Epoch 993/9999, Iter 49600: Loss = 0.014382338151335716, lr = [0.0001] +[2024-05-16 09:31:08,144] - INFO: Epoch 993/9999, Iter 49620: Loss = 0.01539330929517746, lr = [0.0001] +[2024-05-16 09:31:26,365] - INFO: Epoch 993/9999, Iter 49640: Loss = 0.0241117924451828, lr = [0.0001] +[2024-05-16 09:31:44,496] - INFO: Epoch 994/9999, Iter 49660: Loss = 0.01851179078221321, lr = [0.0001] +[2024-05-16 09:32:01,891] - INFO: Epoch 994/9999, Iter 49680: Loss = 0.015087021514773369, lr = [0.0001] +[2024-05-16 09:32:21,285] - INFO: Epoch 995/9999, Iter 49700: Loss = 0.018212495371699333, lr = [0.0001] +[2024-05-16 09:32:38,794] - INFO: Epoch 995/9999, Iter 49720: Loss = 0.015681065618991852, lr = [0.0001] +[2024-05-16 09:32:55,683] - INFO: Epoch 995/9999, Iter 49740: Loss = 0.010326491668820381, lr = [0.0001] +[2024-05-16 09:33:04,143] - INFO: Evaluate at epoch 995! +[2024-05-16 09:33:07,622] - INFO: Eval PSNR (max): 37.815 (950) SSIM (max): 0.9602 (970) +[2024-05-16 09:33:07,622] - INFO: Eval PSNR (current): 37.632 (995) SSIM (current): 0.9597 (995) +[2024-05-16 09:33:07,622] - INFO: Evaluation over. +[2024-05-16 09:33:22,480] - INFO: Epoch 996/9999, Iter 49760: Loss = 0.01680641435086727, lr = [0.0001] +[2024-05-16 09:33:40,193] - INFO: Epoch 996/9999, Iter 49780: Loss = 0.009002309292554855, lr = [0.0001] +[2024-05-16 09:33:59,300] - INFO: Epoch 997/9999, Iter 49800: Loss = 0.007926654070615768, lr = [0.0001] +[2024-05-16 09:34:16,174] - INFO: Epoch 997/9999, Iter 49820: Loss = 0.019092494621872902, lr = [0.0001] +[2024-05-16 09:34:33,874] - INFO: Epoch 997/9999, Iter 49840: Loss = 0.02321823500096798, lr = [0.0001] +[2024-05-16 09:34:53,240] - INFO: Epoch 998/9999, Iter 49860: Loss = 0.01653939113020897, lr = [0.0001] +[2024-05-16 09:35:11,209] - INFO: Epoch 998/9999, Iter 49880: Loss = 0.017696326598525047, lr = [0.0001] +[2024-05-16 09:35:29,863] - INFO: Epoch 999/9999, Iter 49900: Loss = 0.012716947123408318, lr = [0.0001] +[2024-05-16 09:35:47,550] - INFO: Epoch 999/9999, Iter 49920: Loss = 0.013383371755480766, lr = [0.0001] +[2024-05-16 09:36:05,541] - INFO: Epoch 999/9999, Iter 49940: Loss = 0.01097856555134058, lr = [0.0001] +[2024-05-16 09:36:25,144] - INFO: Epoch 1000/9999, Iter 49960: Loss = 0.016586069017648697, lr = [0.0001] +[2024-05-16 09:36:43,140] - INFO: Epoch 1000/9999, Iter 49980: Loss = 0.019729183986783028, lr = [0.0001] +[2024-05-16 09:36:59,615] - INFO: Evaluate at epoch 1000! +[2024-05-16 09:37:02,975] - INFO: Eval PSNR (max): 37.815 (950) SSIM (max): 0.9602 (970) +[2024-05-16 09:37:02,976] - INFO: Eval PSNR (current): 37.521 (1000) SSIM (current): 0.9593 (1000) +[2024-05-16 09:37:02,976] - INFO: Evaluation over. +[2024-05-16 09:37:09,086] - INFO: Epoch 1001/9999, Iter 50000: Loss = 0.012808232568204403, lr = [5e-05] +[2024-05-16 09:37:27,013] - INFO: Epoch 1001/9999, Iter 50020: Loss = 0.01246568001806736, lr = [5e-05] +[2024-05-16 09:37:44,948] - INFO: Epoch 1001/9999, Iter 50040: Loss = 0.012787706218659878, lr = [5e-05] +[2024-05-16 09:38:03,686] - INFO: Epoch 1002/9999, Iter 50060: Loss = 0.015284950844943523, lr = [5e-05] +[2024-05-16 09:38:21,127] - INFO: Epoch 1002/9999, Iter 50080: Loss = 0.017557509243488312, lr = [5e-05] +[2024-05-16 09:38:40,163] - INFO: Epoch 1003/9999, Iter 50100: Loss = 0.015223406255245209, lr = [5e-05] +[2024-05-16 09:38:58,576] - INFO: Epoch 1003/9999, Iter 50120: Loss = 0.021857479587197304, lr = [5e-05] +[2024-05-16 09:39:15,679] - INFO: Epoch 1003/9999, Iter 50140: Loss = 0.01138185616582632, lr = [5e-05] +[2024-05-16 09:39:33,884] - INFO: Epoch 1004/9999, Iter 50160: Loss = 0.018650425598025322, lr = [5e-05] +[2024-05-16 09:39:51,559] - INFO: Epoch 1004/9999, Iter 50180: Loss = 0.014845904894173145, lr = [5e-05] +[2024-05-16 09:40:10,790] - INFO: Epoch 1005/9999, Iter 50200: Loss = 0.009681659750640392, lr = [5e-05] +[2024-05-16 09:40:28,214] - INFO: Epoch 1005/9999, Iter 50220: Loss = 0.018143832683563232, lr = [5e-05] +[2024-05-16 09:40:46,475] - INFO: Epoch 1005/9999, Iter 50240: Loss = 0.012654799036681652, lr = [5e-05] +[2024-05-16 09:40:54,318] - INFO: Evaluate at epoch 1005! +[2024-05-16 09:41:04,889] - INFO: Eval PSNR (max): 37.848 (1005) SSIM (max): 0.9602 (1005) +[2024-05-16 09:41:04,889] - INFO: Eval PSNR (current): 37.848 (1005) SSIM (current): 0.9602 (1005) +[2024-05-16 09:41:04,889] - INFO: Evaluation over. +[2024-05-16 09:41:18,964] - INFO: Epoch 1006/9999, Iter 50260: Loss = 0.018458222970366478, lr = [5e-05] +[2024-05-16 09:41:36,896] - INFO: Epoch 1006/9999, Iter 50280: Loss = 0.02021937072277069, lr = [5e-05] +[2024-05-16 09:41:56,616] - INFO: Epoch 1007/9999, Iter 50300: Loss = 0.016896169632673264, lr = [5e-05] +[2024-05-16 09:42:14,674] - INFO: Epoch 1007/9999, Iter 50320: Loss = 0.012110412120819092, lr = [5e-05] +[2024-05-16 09:42:32,577] - INFO: Epoch 1007/9999, Iter 50340: Loss = 0.015688903629779816, lr = [5e-05] +[2024-05-16 09:42:51,125] - INFO: Epoch 1008/9999, Iter 50360: Loss = 0.012586434371769428, lr = [5e-05] +[2024-05-16 09:43:09,100] - INFO: Epoch 1008/9999, Iter 50380: Loss = 0.011547746136784554, lr = [5e-05] +[2024-05-16 09:43:28,474] - INFO: Epoch 1009/9999, Iter 50400: Loss = 0.011406893841922283, lr = [5e-05] +[2024-05-16 09:43:46,217] - INFO: Epoch 1009/9999, Iter 50420: Loss = 0.011043230071663857, lr = [5e-05] +[2024-05-16 09:44:04,521] - INFO: Epoch 1009/9999, Iter 50440: Loss = 0.016115747392177582, lr = [5e-05] +[2024-05-16 09:44:22,964] - INFO: Epoch 1010/9999, Iter 50460: Loss = 0.01677284575998783, lr = [5e-05] +[2024-05-16 09:44:40,758] - INFO: Epoch 1010/9999, Iter 50480: Loss = 0.010985264554619789, lr = [5e-05] +[2024-05-16 09:44:57,242] - INFO: Evaluate at epoch 1010! +[2024-05-16 09:45:00,806] - INFO: Eval PSNR (max): 37.848 (1005) SSIM (max): 0.9602 (1005) +[2024-05-16 09:45:00,806] - INFO: Eval PSNR (current): 37.825 (1010) SSIM (current): 0.9602 (1010) +[2024-05-16 09:45:00,807] - INFO: Evaluation over. +[2024-05-16 09:45:06,612] - INFO: Epoch 1011/9999, Iter 50500: Loss = 0.014887682162225246, lr = [5e-05] +[2024-05-16 09:45:23,629] - INFO: Epoch 1011/9999, Iter 50520: Loss = 0.017084745690226555, lr = [5e-05] +[2024-05-16 09:45:40,832] - INFO: Epoch 1011/9999, Iter 50540: Loss = 0.012014470994472504, lr = [5e-05] +[2024-05-16 09:46:00,489] - INFO: Epoch 1012/9999, Iter 50560: Loss = 0.0220014788210392, lr = [5e-05] +[2024-05-16 09:46:17,966] - INFO: Epoch 1012/9999, Iter 50580: Loss = 0.010106923058629036, lr = [5e-05] +[2024-05-16 09:46:36,836] - INFO: Epoch 1013/9999, Iter 50600: Loss = 0.015415392816066742, lr = [5e-05] +[2024-05-16 09:46:54,376] - INFO: Epoch 1013/9999, Iter 50620: Loss = 0.01301052886992693, lr = [5e-05] +[2024-05-16 09:47:11,400] - INFO: Epoch 1013/9999, Iter 50640: Loss = 0.012569654732942581, lr = [5e-05] +[2024-05-16 09:47:30,373] - INFO: Epoch 1014/9999, Iter 50660: Loss = 0.009191741235554218, lr = [5e-05] +[2024-05-16 09:47:47,901] - INFO: Epoch 1014/9999, Iter 50680: Loss = 0.011925722472369671, lr = [5e-05] +[2024-05-16 09:48:07,398] - INFO: Epoch 1015/9999, Iter 50700: Loss = 0.010886159725487232, lr = [5e-05] +[2024-05-16 09:48:25,619] - INFO: Epoch 1015/9999, Iter 50720: Loss = 0.010514824651181698, lr = [5e-05] +[2024-05-16 09:48:43,270] - INFO: Epoch 1015/9999, Iter 50740: Loss = 0.010369225405156612, lr = [5e-05] +[2024-05-16 09:48:50,743] - INFO: Evaluate at epoch 1015! +[2024-05-16 09:48:54,183] - INFO: Eval PSNR (max): 37.848 (1005) SSIM (max): 0.9602 (1005) +[2024-05-16 09:48:54,183] - INFO: Eval PSNR (current): 37.791 (1015) SSIM (current): 0.9601 (1015) +[2024-05-16 09:48:54,183] - INFO: Evaluation over. +[2024-05-16 09:49:08,828] - INFO: Epoch 1016/9999, Iter 50760: Loss = 0.01070176251232624, lr = [5e-05] +[2024-05-16 09:49:26,589] - INFO: Epoch 1016/9999, Iter 50780: Loss = 0.014938807114958763, lr = [5e-05] +[2024-05-16 09:49:45,720] - INFO: Epoch 1017/9999, Iter 50800: Loss = 0.01361849159002304, lr = [5e-05] +[2024-05-16 09:50:02,702] - INFO: Epoch 1017/9999, Iter 50820: Loss = 0.015377859584987164, lr = [5e-05] +[2024-05-16 09:50:19,966] - INFO: Epoch 1017/9999, Iter 50840: Loss = 0.010298793204128742, lr = [5e-05] +[2024-05-16 09:50:38,623] - INFO: Epoch 1018/9999, Iter 50860: Loss = 0.012154539115726948, lr = [5e-05] +[2024-05-16 09:50:55,914] - INFO: Epoch 1018/9999, Iter 50880: Loss = 0.00988084264099598, lr = [5e-05] +[2024-05-16 09:51:15,796] - INFO: Epoch 1019/9999, Iter 50900: Loss = 0.010691452771425247, lr = [5e-05] +[2024-05-16 09:51:33,542] - INFO: Epoch 1019/9999, Iter 50920: Loss = 0.014034616760909557, lr = [5e-05] +[2024-05-16 09:51:50,869] - INFO: Epoch 1019/9999, Iter 50940: Loss = 0.008795845322310925, lr = [5e-05] +[2024-05-16 09:52:09,944] - INFO: Epoch 1020/9999, Iter 50960: Loss = 0.015383709222078323, lr = [5e-05] +[2024-05-16 09:52:27,737] - INFO: Epoch 1020/9999, Iter 50980: Loss = 0.016630247235298157, lr = [5e-05] +[2024-05-16 09:52:44,348] - INFO: Evaluate at epoch 1020! +[2024-05-16 09:52:51,431] - INFO: Eval PSNR (max): 37.848 (1005) SSIM (max): 0.9603 (1020) +[2024-05-16 09:52:51,432] - INFO: Eval PSNR (current): 37.815 (1020) SSIM (current): 0.9603 (1020) +[2024-05-16 09:52:51,432] - INFO: Evaluation over. +[2024-05-16 09:52:57,549] - INFO: Epoch 1021/9999, Iter 51000: Loss = 0.0156729593873024, lr = [5e-05] +[2024-05-16 09:53:14,221] - INFO: Epoch 1021/9999, Iter 51020: Loss = 0.012033622711896896, lr = [5e-05] +[2024-05-16 09:53:31,693] - INFO: Epoch 1021/9999, Iter 51040: Loss = 0.011229107156395912, lr = [5e-05] +[2024-05-16 09:53:51,252] - INFO: Epoch 1022/9999, Iter 51060: Loss = 0.01894534006714821, lr = [5e-05] +[2024-05-16 09:54:09,396] - INFO: Epoch 1022/9999, Iter 51080: Loss = 0.01564702019095421, lr = [5e-05] +[2024-05-16 09:54:27,956] - INFO: Epoch 1023/9999, Iter 51100: Loss = 0.011711914092302322, lr = [5e-05] +[2024-05-16 09:54:45,654] - INFO: Epoch 1023/9999, Iter 51120: Loss = 0.016528839245438576, lr = [5e-05] +[2024-05-16 09:55:03,487] - INFO: Epoch 1023/9999, Iter 51140: Loss = 0.01928618736565113, lr = [5e-05] +[2024-05-16 09:55:22,776] - INFO: Epoch 1024/9999, Iter 51160: Loss = 0.019745685160160065, lr = [5e-05] +[2024-05-16 09:55:40,416] - INFO: Epoch 1024/9999, Iter 51180: Loss = 0.014628279022872448, lr = [5e-05] +[2024-05-16 09:55:58,984] - INFO: Epoch 1025/9999, Iter 51200: Loss = 0.01065456960350275, lr = [5e-05] +[2024-05-16 09:56:16,530] - INFO: Epoch 1025/9999, Iter 51220: Loss = 0.016287920996546745, lr = [5e-05] +[2024-05-16 09:56:33,796] - INFO: Epoch 1025/9999, Iter 51240: Loss = 0.01755717024207115, lr = [5e-05] +[2024-05-16 09:56:41,495] - INFO: Evaluate at epoch 1025! +[2024-05-16 09:56:45,060] - INFO: Eval PSNR (max): 37.848 (1005) SSIM (max): 0.9603 (1020) +[2024-05-16 09:56:45,060] - INFO: Eval PSNR (current): 37.823 (1025) SSIM (current): 0.9602 (1025) +[2024-05-16 09:56:45,060] - INFO: Evaluation over. +[2024-05-16 09:56:59,734] - INFO: Epoch 1026/9999, Iter 51260: Loss = 0.007777786813676357, lr = [5e-05] +[2024-05-16 09:57:17,868] - INFO: Epoch 1026/9999, Iter 51280: Loss = 0.01313626579940319, lr = [5e-05] +[2024-05-16 09:57:36,636] - INFO: Epoch 1027/9999, Iter 51300: Loss = 0.012366252020001411, lr = [5e-05] +[2024-05-16 09:57:54,384] - INFO: Epoch 1027/9999, Iter 51320: Loss = 0.01280265487730503, lr = [5e-05] +[2024-05-16 09:58:12,549] - INFO: Epoch 1027/9999, Iter 51340: Loss = 0.01785413920879364, lr = [5e-05] +[2024-05-16 09:58:31,431] - INFO: Epoch 1028/9999, Iter 51360: Loss = 0.013542817905545235, lr = [5e-05] +[2024-05-16 09:58:49,167] - INFO: Epoch 1028/9999, Iter 51380: Loss = 0.009353367611765862, lr = [5e-05] +[2024-05-16 09:59:08,188] - INFO: Epoch 1029/9999, Iter 51400: Loss = 0.009844779968261719, lr = [5e-05] +[2024-05-16 09:59:25,873] - INFO: Epoch 1029/9999, Iter 51420: Loss = 0.014626854099333286, lr = [5e-05] +[2024-05-16 09:59:43,536] - INFO: Epoch 1029/9999, Iter 51440: Loss = 0.012944717891514301, lr = [5e-05] +[2024-05-16 10:00:02,794] - INFO: Epoch 1030/9999, Iter 51460: Loss = 0.016489680856466293, lr = [5e-05] +[2024-05-16 10:00:20,376] - INFO: Epoch 1030/9999, Iter 51480: Loss = 0.014164078049361706, lr = [5e-05] +[2024-05-16 10:00:37,210] - INFO: Evaluate at epoch 1030! +[2024-05-16 10:00:44,218] - INFO: Eval PSNR (max): 37.848 (1030) SSIM (max): 0.9603 (1020) +[2024-05-16 10:00:44,219] - INFO: Eval PSNR (current): 37.848 (1030) SSIM (current): 0.9602 (1030) +[2024-05-16 10:00:44,219] - INFO: Evaluation over. +[2024-05-16 10:00:49,907] - INFO: Epoch 1031/9999, Iter 51500: Loss = 0.01643497496843338, lr = [5e-05] +[2024-05-16 10:01:07,820] - INFO: Epoch 1031/9999, Iter 51520: Loss = 0.017265560105443, lr = [5e-05] +[2024-05-16 10:01:26,026] - INFO: Epoch 1031/9999, Iter 51540: Loss = 0.019405687227845192, lr = [5e-05] +[2024-05-16 10:01:45,058] - INFO: Epoch 1032/9999, Iter 51560: Loss = 0.009897617623209953, lr = [5e-05] +[2024-05-16 10:02:02,389] - INFO: Epoch 1032/9999, Iter 51580: Loss = 0.013883561827242374, lr = [5e-05] +[2024-05-16 10:02:22,048] - INFO: Epoch 1033/9999, Iter 51600: Loss = 0.014988671988248825, lr = [5e-05] +[2024-05-16 10:02:40,317] - INFO: Epoch 1033/9999, Iter 51620: Loss = 0.01797204464673996, lr = [5e-05] +[2024-05-16 10:02:58,151] - INFO: Epoch 1033/9999, Iter 51640: Loss = 0.016570357605814934, lr = [5e-05] +[2024-05-16 10:03:17,383] - INFO: Epoch 1034/9999, Iter 51660: Loss = 0.01112853642553091, lr = [5e-05] +[2024-05-16 10:03:35,302] - INFO: Epoch 1034/9999, Iter 51680: Loss = 0.01682075671851635, lr = [5e-05] +[2024-05-16 10:03:54,540] - INFO: Epoch 1035/9999, Iter 51700: Loss = 0.0143435662612319, lr = [5e-05] +[2024-05-16 10:04:11,828] - INFO: Epoch 1035/9999, Iter 51720: Loss = 0.011669110506772995, lr = [5e-05] +[2024-05-16 10:04:29,055] - INFO: Epoch 1035/9999, Iter 51740: Loss = 0.01465566735714674, lr = [5e-05] +[2024-05-16 10:04:36,897] - INFO: Evaluate at epoch 1035! +[2024-05-16 10:04:44,646] - INFO: Eval PSNR (max): 37.848 (1030) SSIM (max): 0.9603 (1035) +[2024-05-16 10:04:44,647] - INFO: Eval PSNR (current): 37.643 (1035) SSIM (current): 0.9603 (1035) +[2024-05-16 10:04:44,647] - INFO: Evaluation over. +[2024-05-16 10:04:59,123] - INFO: Epoch 1036/9999, Iter 51760: Loss = 0.018040841445326805, lr = [5e-05] +[2024-05-16 10:05:16,411] - INFO: Epoch 1036/9999, Iter 51780: Loss = 0.011838129721581936, lr = [5e-05] +[2024-05-16 10:05:36,455] - INFO: Epoch 1037/9999, Iter 51800: Loss = 0.01474341843277216, lr = [5e-05] +[2024-05-16 10:05:53,660] - INFO: Epoch 1037/9999, Iter 51820: Loss = 0.020815683528780937, lr = [5e-05] +[2024-05-16 10:06:11,212] - INFO: Epoch 1037/9999, Iter 51840: Loss = 0.013971244916319847, lr = [5e-05] +[2024-05-16 10:06:30,728] - INFO: Epoch 1038/9999, Iter 51860: Loss = 0.01198464073240757, lr = [5e-05] +[2024-05-16 10:06:48,610] - INFO: Epoch 1038/9999, Iter 51880: Loss = 0.016654720529913902, lr = [5e-05] +[2024-05-16 10:07:07,300] - INFO: Epoch 1039/9999, Iter 51900: Loss = 0.013665120117366314, lr = [5e-05] +[2024-05-16 10:07:24,895] - INFO: Epoch 1039/9999, Iter 51920: Loss = 0.01007042545825243, lr = [5e-05] +[2024-05-16 10:07:43,229] - INFO: Epoch 1039/9999, Iter 51940: Loss = 0.011066514067351818, lr = [5e-05] +[2024-05-16 10:08:02,074] - INFO: Epoch 1040/9999, Iter 51960: Loss = 0.01687784120440483, lr = [5e-05] +[2024-05-16 10:08:20,184] - INFO: Epoch 1040/9999, Iter 51980: Loss = 0.013632608577609062, lr = [5e-05] +[2024-05-16 10:08:36,350] - INFO: Evaluate at epoch 1040! +[2024-05-16 10:08:39,983] - INFO: Eval PSNR (max): 37.848 (1030) SSIM (max): 0.9603 (1035) +[2024-05-16 10:08:39,984] - INFO: Eval PSNR (current): 37.818 (1040) SSIM (current): 0.9603 (1040) +[2024-05-16 10:08:39,984] - INFO: Evaluation over. +[2024-05-16 10:08:46,000] - INFO: Epoch 1041/9999, Iter 52000: Loss = 0.009942895732820034, lr = [5e-05] +[2024-05-16 10:09:04,390] - INFO: Epoch 1041/9999, Iter 52020: Loss = 0.014471173286437988, lr = [5e-05] +[2024-05-16 10:09:22,109] - INFO: Epoch 1041/9999, Iter 52040: Loss = 0.015705225989222527, lr = [5e-05] +[2024-05-16 10:09:40,590] - INFO: Epoch 1042/9999, Iter 52060: Loss = 0.010464292950928211, lr = [5e-05] +[2024-05-16 10:09:57,660] - INFO: Epoch 1042/9999, Iter 52080: Loss = 0.019034603610634804, lr = [5e-05] +[2024-05-16 10:10:16,880] - INFO: Epoch 1043/9999, Iter 52100: Loss = 0.013618944212794304, lr = [5e-05] +[2024-05-16 10:10:35,403] - INFO: Epoch 1043/9999, Iter 52120: Loss = 0.02109079249203205, lr = [5e-05] +[2024-05-16 10:10:53,134] - INFO: Epoch 1043/9999, Iter 52140: Loss = 0.009232393465936184, lr = [5e-05] +[2024-05-16 10:11:12,129] - INFO: Epoch 1044/9999, Iter 52160: Loss = 0.01571907103061676, lr = [5e-05] +[2024-05-16 10:11:30,019] - INFO: Epoch 1044/9999, Iter 52180: Loss = 0.013863995671272278, lr = [5e-05] +[2024-05-16 10:11:49,673] - INFO: Epoch 1045/9999, Iter 52200: Loss = 0.012640387751162052, lr = [5e-05] +[2024-05-16 10:12:07,971] - INFO: Epoch 1045/9999, Iter 52220: Loss = 0.020043853670358658, lr = [5e-05] +[2024-05-16 10:12:25,613] - INFO: Epoch 1045/9999, Iter 52240: Loss = 0.015828672796487808, lr = [5e-05] +[2024-05-16 10:12:33,547] - INFO: Evaluate at epoch 1045! +[2024-05-16 10:12:40,970] - INFO: Eval PSNR (max): 37.854 (1045) SSIM (max): 0.9603 (1035) +[2024-05-16 10:12:40,970] - INFO: Eval PSNR (current): 37.854 (1045) SSIM (current): 0.9603 (1045) +[2024-05-16 10:12:40,970] - INFO: Evaluation over. +[2024-05-16 10:12:56,185] - INFO: Epoch 1046/9999, Iter 52260: Loss = 0.014044476673007011, lr = [5e-05] +[2024-05-16 10:13:14,312] - INFO: Epoch 1046/9999, Iter 52280: Loss = 0.013619714416563511, lr = [5e-05] +[2024-05-16 10:13:33,064] - INFO: Epoch 1047/9999, Iter 52300: Loss = 0.014796573668718338, lr = [5e-05] +[2024-05-16 10:13:50,659] - INFO: Epoch 1047/9999, Iter 52320: Loss = 0.014580193907022476, lr = [5e-05] +[2024-05-16 10:14:08,292] - INFO: Epoch 1047/9999, Iter 52340: Loss = 0.010005551390349865, lr = [5e-05] +[2024-05-16 10:14:27,026] - INFO: Epoch 1048/9999, Iter 52360: Loss = 0.015532726421952248, lr = [5e-05] +[2024-05-16 10:14:44,956] - INFO: Epoch 1048/9999, Iter 52380: Loss = 0.014994758181273937, lr = [5e-05] +[2024-05-16 10:15:03,657] - INFO: Epoch 1049/9999, Iter 52400: Loss = 0.014111729338765144, lr = [5e-05] +[2024-05-16 10:15:21,764] - INFO: Epoch 1049/9999, Iter 52420: Loss = 0.01652791164815426, lr = [5e-05] +[2024-05-16 10:15:39,437] - INFO: Epoch 1049/9999, Iter 52440: Loss = 0.012002531439065933, lr = [5e-05] +[2024-05-16 10:15:58,506] - INFO: Epoch 1050/9999, Iter 52460: Loss = 0.01820557191967964, lr = [5e-05] +[2024-05-16 10:16:16,532] - INFO: Epoch 1050/9999, Iter 52480: Loss = 0.01971517689526081, lr = [5e-05] +[2024-05-16 10:16:32,981] - INFO: Evaluate at epoch 1050! +[2024-05-16 10:16:40,151] - INFO: Eval PSNR (max): 37.863 (1050) SSIM (max): 0.9603 (1035) +[2024-05-16 10:16:40,151] - INFO: Eval PSNR (current): 37.863 (1050) SSIM (current): 0.9603 (1050) +[2024-05-16 10:16:40,151] - INFO: Evaluation over. +[2024-05-16 10:16:46,098] - INFO: Epoch 1051/9999, Iter 52500: Loss = 0.011808745563030243, lr = [5e-05] +[2024-05-16 10:17:04,498] - INFO: Epoch 1051/9999, Iter 52520: Loss = 0.009379715658724308, lr = [5e-05] +[2024-05-16 10:17:21,977] - INFO: Epoch 1051/9999, Iter 52540: Loss = 0.014158321544528008, lr = [5e-05] +[2024-05-16 10:17:41,399] - INFO: Epoch 1052/9999, Iter 52560: Loss = 0.014590715058147907, lr = [5e-05] +[2024-05-16 10:17:59,304] - INFO: Epoch 1052/9999, Iter 52580: Loss = 0.010521728545427322, lr = [5e-05] +[2024-05-16 10:18:18,194] - INFO: Epoch 1053/9999, Iter 52600: Loss = 0.012410081923007965, lr = [5e-05] +[2024-05-16 10:18:35,424] - INFO: Epoch 1053/9999, Iter 52620: Loss = 0.01444431021809578, lr = [5e-05] +[2024-05-16 10:18:53,540] - INFO: Epoch 1053/9999, Iter 52640: Loss = 0.009063169360160828, lr = [5e-05] +[2024-05-16 10:19:12,923] - INFO: Epoch 1054/9999, Iter 52660: Loss = 0.012816033326089382, lr = [5e-05] +[2024-05-16 10:19:31,186] - INFO: Epoch 1054/9999, Iter 52680: Loss = 0.014621571637690067, lr = [5e-05] +[2024-05-16 10:19:50,648] - INFO: Epoch 1055/9999, Iter 52700: Loss = 0.011327375657856464, lr = [5e-05] +[2024-05-16 10:20:07,474] - INFO: Epoch 1055/9999, Iter 52720: Loss = 0.013627300970256329, lr = [5e-05] +[2024-05-16 10:20:25,110] - INFO: Epoch 1055/9999, Iter 52740: Loss = 0.013879038393497467, lr = [5e-05] +[2024-05-16 10:20:33,529] - INFO: Evaluate at epoch 1055! +[2024-05-16 10:20:37,166] - INFO: Eval PSNR (max): 37.863 (1050) SSIM (max): 0.9603 (1035) +[2024-05-16 10:20:37,166] - INFO: Eval PSNR (current): 37.819 (1055) SSIM (current): 0.9603 (1055) +[2024-05-16 10:20:37,166] - INFO: Evaluation over. +[2024-05-16 10:20:51,326] - INFO: Epoch 1056/9999, Iter 52760: Loss = 0.011366874910891056, lr = [5e-05] +[2024-05-16 10:21:08,728] - INFO: Epoch 1056/9999, Iter 52780: Loss = 0.015232449397444725, lr = [5e-05] +[2024-05-16 10:21:27,988] - INFO: Epoch 1057/9999, Iter 52800: Loss = 0.012042735703289509, lr = [5e-05] +[2024-05-16 10:21:45,016] - INFO: Epoch 1057/9999, Iter 52820: Loss = 0.014114380814135075, lr = [5e-05] +[2024-05-16 10:22:02,256] - INFO: Epoch 1057/9999, Iter 52840: Loss = 0.013904556632041931, lr = [5e-05] +[2024-05-16 10:22:21,858] - INFO: Epoch 1058/9999, Iter 52860: Loss = 0.017976028844714165, lr = [5e-05] +[2024-05-16 10:22:40,175] - INFO: Epoch 1058/9999, Iter 52880: Loss = 0.019578834995627403, lr = [5e-05] +[2024-05-16 10:22:59,227] - INFO: Epoch 1059/9999, Iter 52900: Loss = 0.013043182902038097, lr = [5e-05] +[2024-05-16 10:23:16,395] - INFO: Epoch 1059/9999, Iter 52920: Loss = 0.01515269372612238, lr = [5e-05] +[2024-05-16 10:23:33,837] - INFO: Epoch 1059/9999, Iter 52940: Loss = 0.01610914058983326, lr = [5e-05] +[2024-05-16 10:23:53,058] - INFO: Epoch 1060/9999, Iter 52960: Loss = 0.013710330240428448, lr = [5e-05] +[2024-05-16 10:24:10,876] - INFO: Epoch 1060/9999, Iter 52980: Loss = 0.013449763879179955, lr = [5e-05] +[2024-05-16 10:24:27,640] - INFO: Evaluate at epoch 1060! +[2024-05-16 10:24:31,236] - INFO: Eval PSNR (max): 37.863 (1050) SSIM (max): 0.9603 (1035) +[2024-05-16 10:24:31,237] - INFO: Eval PSNR (current): 37.850 (1060) SSIM (current): 0.9603 (1060) +[2024-05-16 10:24:31,237] - INFO: Evaluation over. +[2024-05-16 10:24:37,025] - INFO: Epoch 1061/9999, Iter 53000: Loss = 0.015513824298977852, lr = [5e-05] +[2024-05-16 10:24:54,468] - INFO: Epoch 1061/9999, Iter 53020: Loss = 0.013184241019189358, lr = [5e-05] +[2024-05-16 10:25:11,644] - INFO: Epoch 1061/9999, Iter 53040: Loss = 0.011111072264611721, lr = [5e-05] +[2024-05-16 10:25:31,216] - INFO: Epoch 1062/9999, Iter 53060: Loss = 0.011152536608278751, lr = [5e-05] +[2024-05-16 10:25:49,135] - INFO: Epoch 1062/9999, Iter 53080: Loss = 0.017090966925024986, lr = [5e-05] +[2024-05-16 10:26:07,836] - INFO: Epoch 1063/9999, Iter 53100: Loss = 0.015811409801244736, lr = [5e-05] +[2024-05-16 10:26:25,615] - INFO: Epoch 1063/9999, Iter 53120: Loss = 0.01637951098382473, lr = [5e-05] +[2024-05-16 10:26:43,453] - INFO: Epoch 1063/9999, Iter 53140: Loss = 0.013993144035339355, lr = [5e-05] +[2024-05-16 10:27:02,448] - INFO: Epoch 1064/9999, Iter 53160: Loss = 0.014209466986358166, lr = [5e-05] +[2024-05-16 10:27:19,810] - INFO: Epoch 1064/9999, Iter 53180: Loss = 0.015615032985806465, lr = [5e-05] +[2024-05-16 10:27:39,129] - INFO: Epoch 1065/9999, Iter 53200: Loss = 0.014481615275144577, lr = [5e-05] +[2024-05-16 10:27:56,580] - INFO: Epoch 1065/9999, Iter 53220: Loss = 0.012017185799777508, lr = [5e-05] +[2024-05-16 10:28:14,023] - INFO: Epoch 1065/9999, Iter 53240: Loss = 0.016171500086784363, lr = [5e-05] +[2024-05-16 10:28:21,872] - INFO: Evaluate at epoch 1065! +[2024-05-16 10:28:29,338] - INFO: Eval PSNR (max): 37.863 (1050) SSIM (max): 0.9603 (1065) +[2024-05-16 10:28:29,338] - INFO: Eval PSNR (current): 37.849 (1065) SSIM (current): 0.9603 (1065) +[2024-05-16 10:28:29,338] - INFO: Evaluation over. +[2024-05-16 10:28:44,428] - INFO: Epoch 1066/9999, Iter 53260: Loss = 0.012011150829494, lr = [5e-05] +[2024-05-16 10:29:02,827] - INFO: Epoch 1066/9999, Iter 53280: Loss = 0.014998693950474262, lr = [5e-05] +[2024-05-16 10:29:21,773] - INFO: Epoch 1067/9999, Iter 53300: Loss = 0.010278179310262203, lr = [5e-05] +[2024-05-16 10:29:39,765] - INFO: Epoch 1067/9999, Iter 53320: Loss = 0.014918751083314419, lr = [5e-05] +[2024-05-16 10:29:57,292] - INFO: Epoch 1067/9999, Iter 53340: Loss = 0.013827325776219368, lr = [5e-05] +[2024-05-16 10:30:16,605] - INFO: Epoch 1068/9999, Iter 53360: Loss = 0.018899688497185707, lr = [5e-05] +[2024-05-16 10:30:34,392] - INFO: Epoch 1068/9999, Iter 53380: Loss = 0.013684350065886974, lr = [5e-05] +[2024-05-16 10:30:53,520] - INFO: Epoch 1069/9999, Iter 53400: Loss = 0.013172750361263752, lr = [5e-05] +[2024-05-16 10:31:10,992] - INFO: Epoch 1069/9999, Iter 53420: Loss = 0.016014043241739273, lr = [5e-05] +[2024-05-16 10:31:29,487] - INFO: Epoch 1069/9999, Iter 53440: Loss = 0.011864394880831242, lr = [5e-05] +[2024-05-16 10:31:47,429] - INFO: Epoch 1070/9999, Iter 53460: Loss = 0.012605751864612103, lr = [5e-05] +[2024-05-16 10:32:04,647] - INFO: Epoch 1070/9999, Iter 53480: Loss = 0.0143280029296875, lr = [5e-05] +[2024-05-16 10:32:21,391] - INFO: Evaluate at epoch 1070! +[2024-05-16 10:32:25,088] - INFO: Eval PSNR (max): 37.863 (1050) SSIM (max): 0.9603 (1065) +[2024-05-16 10:32:25,088] - INFO: Eval PSNR (current): 37.822 (1070) SSIM (current): 0.9602 (1070) +[2024-05-16 10:32:25,089] - INFO: Evaluation over. +[2024-05-16 10:32:31,033] - INFO: Epoch 1071/9999, Iter 53500: Loss = 0.013477182015776634, lr = [5e-05] +[2024-05-16 10:32:48,200] - INFO: Epoch 1071/9999, Iter 53520: Loss = 0.01189159881323576, lr = [5e-05] +[2024-05-16 10:33:06,496] - INFO: Epoch 1071/9999, Iter 53540: Loss = 0.011885486543178558, lr = [5e-05] +[2024-05-16 10:33:25,613] - INFO: Epoch 1072/9999, Iter 53560: Loss = 0.012097343802452087, lr = [5e-05] +[2024-05-16 10:33:43,704] - INFO: Epoch 1072/9999, Iter 53580: Loss = 0.011281346902251244, lr = [5e-05] +[2024-05-16 10:34:02,369] - INFO: Epoch 1073/9999, Iter 53600: Loss = 0.01036917045712471, lr = [5e-05] +[2024-05-16 10:34:20,356] - INFO: Epoch 1073/9999, Iter 53620: Loss = 0.0100137609988451, lr = [5e-05] +[2024-05-16 10:34:38,386] - INFO: Epoch 1073/9999, Iter 53640: Loss = 0.012868202291429043, lr = [5e-05] +[2024-05-16 10:34:57,004] - INFO: Epoch 1074/9999, Iter 53660: Loss = 0.014833219349384308, lr = [5e-05] +[2024-05-16 10:35:14,965] - INFO: Epoch 1074/9999, Iter 53680: Loss = 0.01596212573349476, lr = [5e-05] +[2024-05-16 10:35:34,609] - INFO: Epoch 1075/9999, Iter 53700: Loss = 0.015661252662539482, lr = [5e-05] +[2024-05-16 10:35:51,444] - INFO: Epoch 1075/9999, Iter 53720: Loss = 0.01146526075899601, lr = [5e-05] +[2024-05-16 10:36:09,564] - INFO: Epoch 1075/9999, Iter 53740: Loss = 0.011218470521271229, lr = [5e-05] +[2024-05-16 10:36:17,644] - INFO: Evaluate at epoch 1075! +[2024-05-16 10:36:21,153] - INFO: Eval PSNR (max): 37.863 (1050) SSIM (max): 0.9603 (1065) +[2024-05-16 10:36:21,154] - INFO: Eval PSNR (current): 37.854 (1075) SSIM (current): 0.9603 (1075) +[2024-05-16 10:36:21,154] - INFO: Evaluation over. +[2024-05-16 10:36:35,889] - INFO: Epoch 1076/9999, Iter 53760: Loss = 0.012012993916869164, lr = [5e-05] +[2024-05-16 10:36:53,826] - INFO: Epoch 1076/9999, Iter 53780: Loss = 0.010419689118862152, lr = [5e-05] +[2024-05-16 10:37:12,945] - INFO: Epoch 1077/9999, Iter 53800: Loss = 0.010309437289834023, lr = [5e-05] +[2024-05-16 10:37:31,520] - INFO: Epoch 1077/9999, Iter 53820: Loss = 0.01316124852746725, lr = [5e-05] +[2024-05-16 10:37:49,098] - INFO: Epoch 1077/9999, Iter 53840: Loss = 0.01401472743600607, lr = [5e-05] +[2024-05-16 10:38:07,515] - INFO: Epoch 1078/9999, Iter 53860: Loss = 0.02001953125, lr = [5e-05] +[2024-05-16 10:38:25,360] - INFO: Epoch 1078/9999, Iter 53880: Loss = 0.014492787420749664, lr = [5e-05] +[2024-05-16 10:38:44,268] - INFO: Epoch 1079/9999, Iter 53900: Loss = 0.013384620659053326, lr = [5e-05] +[2024-05-16 10:39:02,084] - INFO: Epoch 1079/9999, Iter 53920: Loss = 0.016346778720617294, lr = [5e-05] +[2024-05-16 10:39:20,276] - INFO: Epoch 1079/9999, Iter 53940: Loss = 0.015571187250316143, lr = [5e-05] +[2024-05-16 10:39:39,093] - INFO: Epoch 1080/9999, Iter 53960: Loss = 0.008556663058698177, lr = [5e-05] +[2024-05-16 10:39:56,534] - INFO: Epoch 1080/9999, Iter 53980: Loss = 0.009501594118773937, lr = [5e-05] +[2024-05-16 10:40:12,886] - INFO: Evaluate at epoch 1080! +[2024-05-16 10:40:16,398] - INFO: Eval PSNR (max): 37.863 (1050) SSIM (max): 0.9603 (1065) +[2024-05-16 10:40:16,398] - INFO: Eval PSNR (current): 37.829 (1080) SSIM (current): 0.9603 (1080) +[2024-05-16 10:40:16,398] - INFO: Evaluation over. +[2024-05-16 10:40:22,516] - INFO: Epoch 1081/9999, Iter 54000: Loss = 0.017319727689027786, lr = [5e-05] +[2024-05-16 10:40:39,672] - INFO: Epoch 1081/9999, Iter 54020: Loss = 0.014096830040216446, lr = [5e-05] +[2024-05-16 10:40:56,852] - INFO: Epoch 1081/9999, Iter 54040: Loss = 0.008550179190933704, lr = [5e-05] +[2024-05-16 10:41:16,480] - INFO: Epoch 1082/9999, Iter 54060: Loss = 0.012172317132353783, lr = [5e-05] +[2024-05-16 10:41:34,242] - INFO: Epoch 1082/9999, Iter 54080: Loss = 0.007813693955540657, lr = [5e-05] +[2024-05-16 10:41:53,613] - INFO: Epoch 1083/9999, Iter 54100: Loss = 0.01403109822422266, lr = [5e-05] +[2024-05-16 10:42:10,995] - INFO: Epoch 1083/9999, Iter 54120: Loss = 0.01708739437162876, lr = [5e-05] +[2024-05-16 10:42:29,176] - INFO: Epoch 1083/9999, Iter 54140: Loss = 0.014864988625049591, lr = [5e-05] +[2024-05-16 10:42:47,597] - INFO: Epoch 1084/9999, Iter 54160: Loss = 0.01409976463764906, lr = [5e-05] +[2024-05-16 10:43:05,465] - INFO: Epoch 1084/9999, Iter 54180: Loss = 0.0139909777790308, lr = [5e-05] +[2024-05-16 10:43:24,280] - INFO: Epoch 1085/9999, Iter 54200: Loss = 0.018727755174040794, lr = [5e-05] +[2024-05-16 10:43:42,060] - INFO: Epoch 1085/9999, Iter 54220: Loss = 0.013725759461522102, lr = [5e-05] +[2024-05-16 10:44:00,106] - INFO: Epoch 1085/9999, Iter 54240: Loss = 0.01058049127459526, lr = [5e-05] +[2024-05-16 10:44:07,737] - INFO: Evaluate at epoch 1085! +[2024-05-16 10:44:18,369] - INFO: Eval PSNR (max): 37.886 (1085) SSIM (max): 0.9604 (1085) +[2024-05-16 10:44:18,370] - INFO: Eval PSNR (current): 37.886 (1085) SSIM (current): 0.9604 (1085) +[2024-05-16 10:44:18,370] - INFO: Evaluation over. +[2024-05-16 10:44:33,073] - INFO: Epoch 1086/9999, Iter 54260: Loss = 0.01775917038321495, lr = [5e-05] +[2024-05-16 10:44:51,518] - INFO: Epoch 1086/9999, Iter 54280: Loss = 0.011387813836336136, lr = [5e-05] +[2024-05-16 10:45:10,303] - INFO: Epoch 1087/9999, Iter 54300: Loss = 0.013922522775828838, lr = [5e-05] +[2024-05-16 10:45:28,587] - INFO: Epoch 1087/9999, Iter 54320: Loss = 0.009714416228234768, lr = [5e-05] +[2024-05-16 10:45:46,643] - INFO: Epoch 1087/9999, Iter 54340: Loss = 0.011474857106804848, lr = [5e-05] +[2024-05-16 10:46:05,404] - INFO: Epoch 1088/9999, Iter 54360: Loss = 0.011644667945802212, lr = [5e-05] +[2024-05-16 10:46:23,219] - INFO: Epoch 1088/9999, Iter 54380: Loss = 0.016027498990297318, lr = [5e-05] +[2024-05-16 10:46:42,483] - INFO: Epoch 1089/9999, Iter 54400: Loss = 0.014977830462157726, lr = [5e-05] +[2024-05-16 10:47:01,598] - INFO: Epoch 1089/9999, Iter 54420: Loss = 0.01612522453069687, lr = [5e-05] +[2024-05-16 10:47:20,867] - INFO: Epoch 1089/9999, Iter 54440: Loss = 0.010025031864643097, lr = [5e-05] +[2024-05-16 10:47:39,946] - INFO: Epoch 1090/9999, Iter 54460: Loss = 0.013246901333332062, lr = [5e-05] +[2024-05-16 10:47:57,471] - INFO: Epoch 1090/9999, Iter 54480: Loss = 0.014948532916605473, lr = [5e-05] +[2024-05-16 10:48:14,580] - INFO: Evaluate at epoch 1090! +[2024-05-16 10:48:18,147] - INFO: Eval PSNR (max): 37.886 (1085) SSIM (max): 0.9604 (1085) +[2024-05-16 10:48:18,147] - INFO: Eval PSNR (current): 37.841 (1090) SSIM (current): 0.9603 (1090) +[2024-05-16 10:48:18,147] - INFO: Evaluation over. +[2024-05-16 10:48:24,090] - INFO: Epoch 1091/9999, Iter 54500: Loss = 0.012822842225432396, lr = [5e-05] +[2024-05-16 10:48:42,664] - INFO: Epoch 1091/9999, Iter 54520: Loss = 0.01039492804557085, lr = [5e-05] +[2024-05-16 10:49:00,639] - INFO: Epoch 1091/9999, Iter 54540: Loss = 0.00932152010500431, lr = [5e-05] +[2024-05-16 10:49:19,012] - INFO: Epoch 1092/9999, Iter 54560: Loss = 0.007520266342908144, lr = [5e-05] +[2024-05-16 10:49:36,419] - INFO: Epoch 1092/9999, Iter 54580: Loss = 0.011752522550523281, lr = [5e-05] +[2024-05-16 10:49:55,480] - INFO: Epoch 1093/9999, Iter 54600: Loss = 0.010718323290348053, lr = [5e-05] +[2024-05-16 10:50:13,066] - INFO: Epoch 1093/9999, Iter 54620: Loss = 0.01717468723654747, lr = [5e-05] +[2024-05-16 10:50:30,668] - INFO: Epoch 1093/9999, Iter 54640: Loss = 0.014688298106193542, lr = [5e-05] +[2024-05-16 10:50:49,411] - INFO: Epoch 1094/9999, Iter 54660: Loss = 0.011281339451670647, lr = [5e-05] +[2024-05-16 10:51:07,516] - INFO: Epoch 1094/9999, Iter 54680: Loss = 0.010364321060478687, lr = [5e-05] +[2024-05-16 10:51:26,578] - INFO: Epoch 1095/9999, Iter 54700: Loss = 0.011925695464015007, lr = [5e-05] +[2024-05-16 10:51:43,843] - INFO: Epoch 1095/9999, Iter 54720: Loss = 0.015625882893800735, lr = [5e-05] +[2024-05-16 10:52:00,925] - INFO: Epoch 1095/9999, Iter 54740: Loss = 0.01376945711672306, lr = [5e-05] +[2024-05-16 10:52:09,269] - INFO: Evaluate at epoch 1095! +[2024-05-16 10:52:12,906] - INFO: Eval PSNR (max): 37.886 (1085) SSIM (max): 0.9604 (1085) +[2024-05-16 10:52:12,906] - INFO: Eval PSNR (current): 37.819 (1095) SSIM (current): 0.9604 (1095) +[2024-05-16 10:52:12,906] - INFO: Evaluation over. +[2024-05-16 10:52:27,618] - INFO: Epoch 1096/9999, Iter 54760: Loss = 0.014812029898166656, lr = [5e-05] +[2024-05-16 10:52:45,951] - INFO: Epoch 1096/9999, Iter 54780: Loss = 0.01517555769532919, lr = [5e-05] +[2024-05-16 10:53:04,825] - INFO: Epoch 1097/9999, Iter 54800: Loss = 0.011325343511998653, lr = [5e-05] +[2024-05-16 10:53:22,620] - INFO: Epoch 1097/9999, Iter 54820: Loss = 0.013697182759642601, lr = [5e-05] +[2024-05-16 10:53:40,431] - INFO: Epoch 1097/9999, Iter 54840: Loss = 0.011718456633388996, lr = [5e-05] +[2024-05-16 10:53:59,678] - INFO: Epoch 1098/9999, Iter 54860: Loss = 0.010924682952463627, lr = [5e-05] +[2024-05-16 10:54:17,796] - INFO: Epoch 1098/9999, Iter 54880: Loss = 0.016990507021546364, lr = [5e-05] +[2024-05-16 10:54:37,056] - INFO: Epoch 1099/9999, Iter 54900: Loss = 0.009671220555901527, lr = [5e-05] +[2024-05-16 10:54:55,206] - INFO: Epoch 1099/9999, Iter 54920: Loss = 0.00754375709220767, lr = [5e-05] +[2024-05-16 10:55:12,850] - INFO: Epoch 1099/9999, Iter 54940: Loss = 0.018032429739832878, lr = [5e-05] +[2024-05-16 10:55:31,448] - INFO: Epoch 1100/9999, Iter 54960: Loss = 0.016663847491145134, lr = [5e-05] +[2024-05-16 10:55:49,248] - INFO: Epoch 1100/9999, Iter 54980: Loss = 0.010409580543637276, lr = [5e-05] +[2024-05-16 10:56:05,860] - INFO: Evaluate at epoch 1100! +[2024-05-16 10:56:09,350] - INFO: Eval PSNR (max): 37.886 (1085) SSIM (max): 0.9604 (1085) +[2024-05-16 10:56:09,351] - INFO: Eval PSNR (current): 37.841 (1100) SSIM (current): 0.9603 (1100) +[2024-05-16 10:56:09,351] - INFO: Evaluation over. +[2024-05-16 10:56:15,375] - INFO: Epoch 1101/9999, Iter 55000: Loss = 0.014965904876589775, lr = [5e-05] +[2024-05-16 10:56:33,288] - INFO: Epoch 1101/9999, Iter 55020: Loss = 0.016093453392386436, lr = [5e-05] +[2024-05-16 10:56:51,168] - INFO: Epoch 1101/9999, Iter 55040: Loss = 0.01659560017287731, lr = [5e-05] +[2024-05-16 10:57:09,973] - INFO: Epoch 1102/9999, Iter 55060: Loss = 0.01023295521736145, lr = [5e-05] +[2024-05-16 10:57:26,962] - INFO: Epoch 1102/9999, Iter 55080: Loss = 0.009352440014481544, lr = [5e-05] +[2024-05-16 10:57:46,016] - INFO: Epoch 1103/9999, Iter 55100: Loss = 0.014445243403315544, lr = [5e-05] +[2024-05-16 10:58:03,540] - INFO: Epoch 1103/9999, Iter 55120: Loss = 0.011923843063414097, lr = [5e-05] +[2024-05-16 10:58:21,763] - INFO: Epoch 1103/9999, Iter 55140: Loss = 0.018457384780049324, lr = [5e-05] +[2024-05-16 10:58:40,223] - INFO: Epoch 1104/9999, Iter 55160: Loss = 0.013945654034614563, lr = [5e-05] +[2024-05-16 10:58:57,484] - INFO: Epoch 1104/9999, Iter 55180: Loss = 0.016019869595766068, lr = [5e-05] +[2024-05-16 10:59:16,695] - INFO: Epoch 1105/9999, Iter 55200: Loss = 0.013755403459072113, lr = [5e-05] +[2024-05-16 10:59:33,891] - INFO: Epoch 1105/9999, Iter 55220: Loss = 0.009634335525333881, lr = [5e-05] +[2024-05-16 10:59:52,108] - INFO: Epoch 1105/9999, Iter 55240: Loss = 0.016541531309485435, lr = [5e-05] +[2024-05-16 10:59:59,580] - INFO: Evaluate at epoch 1105! +[2024-05-16 11:00:03,259] - INFO: Eval PSNR (max): 37.886 (1085) SSIM (max): 0.9604 (1085) +[2024-05-16 11:00:03,259] - INFO: Eval PSNR (current): 37.836 (1105) SSIM (current): 0.9602 (1105) +[2024-05-16 11:00:03,259] - INFO: Evaluation over. +[2024-05-16 11:00:18,450] - INFO: Epoch 1106/9999, Iter 55260: Loss = 0.013170015066862106, lr = [5e-05] +[2024-05-16 11:00:36,200] - INFO: Epoch 1106/9999, Iter 55280: Loss = 0.013181982561945915, lr = [5e-05] +[2024-05-16 11:00:55,458] - INFO: Epoch 1107/9999, Iter 55300: Loss = 0.011513818055391312, lr = [5e-05] +[2024-05-16 11:01:12,812] - INFO: Epoch 1107/9999, Iter 55320: Loss = 0.017342517152428627, lr = [5e-05] +[2024-05-16 11:01:30,120] - INFO: Epoch 1107/9999, Iter 55340: Loss = 0.01485376711934805, lr = [5e-05] +[2024-05-16 11:01:49,076] - INFO: Epoch 1108/9999, Iter 55360: Loss = 0.012966499663889408, lr = [5e-05] +[2024-05-16 11:02:07,430] - INFO: Epoch 1108/9999, Iter 55380: Loss = 0.01663956791162491, lr = [5e-05] +[2024-05-16 11:02:26,678] - INFO: Epoch 1109/9999, Iter 55400: Loss = 0.010349983349442482, lr = [5e-05] +[2024-05-16 11:02:44,075] - INFO: Epoch 1109/9999, Iter 55420: Loss = 0.01288740523159504, lr = [5e-05] +[2024-05-16 11:03:01,350] - INFO: Epoch 1109/9999, Iter 55440: Loss = 0.01051289401948452, lr = [5e-05] +[2024-05-16 11:03:20,479] - INFO: Epoch 1110/9999, Iter 55460: Loss = 0.010579472407698631, lr = [5e-05] +[2024-05-16 11:03:38,433] - INFO: Epoch 1110/9999, Iter 55480: Loss = 0.015650002285838127, lr = [5e-05] +[2024-05-16 11:03:54,947] - INFO: Evaluate at epoch 1110! +[2024-05-16 11:04:01,975] - INFO: Eval PSNR (max): 37.886 (1085) SSIM (max): 0.9604 (1110) +[2024-05-16 11:04:01,976] - INFO: Eval PSNR (current): 37.879 (1110) SSIM (current): 0.9604 (1110) +[2024-05-16 11:04:01,976] - INFO: Evaluation over. +[2024-05-16 11:04:07,828] - INFO: Epoch 1111/9999, Iter 55500: Loss = 0.019418902695178986, lr = [5e-05] +[2024-05-16 11:04:24,726] - INFO: Epoch 1111/9999, Iter 55520: Loss = 0.011079099960625172, lr = [5e-05] +[2024-05-16 11:04:42,544] - INFO: Epoch 1111/9999, Iter 55540: Loss = 0.0108612310141325, lr = [5e-05] +[2024-05-16 11:05:02,079] - INFO: Epoch 1112/9999, Iter 55560: Loss = 0.013454330153763294, lr = [5e-05] +[2024-05-16 11:05:19,624] - INFO: Epoch 1112/9999, Iter 55580: Loss = 0.020723851397633553, lr = [5e-05] +[2024-05-16 11:05:38,380] - INFO: Epoch 1113/9999, Iter 55600: Loss = 0.017652714625000954, lr = [5e-05] +[2024-05-16 11:05:55,528] - INFO: Epoch 1113/9999, Iter 55620: Loss = 0.012285367585718632, lr = [5e-05] +[2024-05-16 11:06:14,047] - INFO: Epoch 1113/9999, Iter 55640: Loss = 0.01566731370985508, lr = [5e-05] +[2024-05-16 11:06:33,255] - INFO: Epoch 1114/9999, Iter 55660: Loss = 0.017730608582496643, lr = [5e-05] +[2024-05-16 11:06:51,116] - INFO: Epoch 1114/9999, Iter 55680: Loss = 0.01309273298829794, lr = [5e-05] +[2024-05-16 11:07:10,131] - INFO: Epoch 1115/9999, Iter 55700: Loss = 0.017012855038046837, lr = [5e-05] +[2024-05-16 11:07:27,144] - INFO: Epoch 1115/9999, Iter 55720: Loss = 0.016902852803468704, lr = [5e-05] +[2024-05-16 11:07:44,797] - INFO: Epoch 1115/9999, Iter 55740: Loss = 0.02092893235385418, lr = [5e-05] +[2024-05-16 11:07:52,655] - INFO: Evaluate at epoch 1115! +[2024-05-16 11:07:56,100] - INFO: Eval PSNR (max): 37.886 (1085) SSIM (max): 0.9604 (1110) +[2024-05-16 11:07:56,100] - INFO: Eval PSNR (current): 37.845 (1115) SSIM (current): 0.9603 (1115) +[2024-05-16 11:07:56,101] - INFO: Evaluation over. +[2024-05-16 11:08:10,483] - INFO: Epoch 1116/9999, Iter 55760: Loss = 0.013356216251850128, lr = [5e-05] +[2024-05-16 11:08:28,102] - INFO: Epoch 1116/9999, Iter 55780: Loss = 0.009726493619382381, lr = [5e-05] +[2024-05-16 11:08:47,400] - INFO: Epoch 1117/9999, Iter 55800: Loss = 0.010542238131165504, lr = [5e-05] +[2024-05-16 11:09:05,076] - INFO: Epoch 1117/9999, Iter 55820: Loss = 0.017051532864570618, lr = [5e-05] +[2024-05-16 11:09:21,916] - INFO: Epoch 1117/9999, Iter 55840: Loss = 0.015392519533634186, lr = [5e-05] +[2024-05-16 11:09:41,560] - INFO: Epoch 1118/9999, Iter 55860: Loss = 0.019635140895843506, lr = [5e-05] +[2024-05-16 11:09:59,618] - INFO: Epoch 1118/9999, Iter 55880: Loss = 0.020628919824957848, lr = [5e-05] +[2024-05-16 11:10:18,564] - INFO: Epoch 1119/9999, Iter 55900: Loss = 0.01612594537436962, lr = [5e-05] +[2024-05-16 11:10:36,262] - INFO: Epoch 1119/9999, Iter 55920: Loss = 0.015729064121842384, lr = [5e-05] +[2024-05-16 11:10:54,491] - INFO: Epoch 1119/9999, Iter 55940: Loss = 0.011136357672512531, lr = [5e-05] +[2024-05-16 11:11:12,840] - INFO: Epoch 1120/9999, Iter 55960: Loss = 0.017354510724544525, lr = [5e-05] +[2024-05-16 11:11:30,669] - INFO: Epoch 1120/9999, Iter 55980: Loss = 0.015658356249332428, lr = [5e-05] +[2024-05-16 11:11:47,177] - INFO: Evaluate at epoch 1120! +[2024-05-16 11:11:54,392] - INFO: Eval PSNR (max): 37.886 (1085) SSIM (max): 0.9604 (1120) +[2024-05-16 11:11:54,393] - INFO: Eval PSNR (current): 37.856 (1120) SSIM (current): 0.9604 (1120) +[2024-05-16 11:11:54,393] - INFO: Evaluation over. +[2024-05-16 11:12:00,491] - INFO: Epoch 1121/9999, Iter 56000: Loss = 0.014447461813688278, lr = [5e-05] +[2024-05-16 11:12:18,595] - INFO: Epoch 1121/9999, Iter 56020: Loss = 0.010976899415254593, lr = [5e-05] +[2024-05-16 11:12:35,793] - INFO: Epoch 1121/9999, Iter 56040: Loss = 0.009934121742844582, lr = [5e-05] +[2024-05-16 11:12:54,696] - INFO: Epoch 1122/9999, Iter 56060: Loss = 0.018640659749507904, lr = [5e-05] +[2024-05-16 11:13:12,791] - INFO: Epoch 1122/9999, Iter 56080: Loss = 0.011429577134549618, lr = [5e-05] +[2024-05-16 11:13:31,859] - INFO: Epoch 1123/9999, Iter 56100: Loss = 0.017486771568655968, lr = [5e-05] +[2024-05-16 11:13:50,308] - INFO: Epoch 1123/9999, Iter 56120: Loss = 0.013158438727259636, lr = [5e-05] +[2024-05-16 11:14:07,963] - INFO: Epoch 1123/9999, Iter 56140: Loss = 0.016899941489100456, lr = [5e-05] +[2024-05-16 11:14:27,173] - INFO: Epoch 1124/9999, Iter 56160: Loss = 0.018850775435566902, lr = [5e-05] +[2024-05-16 11:14:44,812] - INFO: Epoch 1124/9999, Iter 56180: Loss = 0.011558146215975285, lr = [5e-05] +[2024-05-16 11:15:04,340] - INFO: Epoch 1125/9999, Iter 56200: Loss = 0.010739482007920742, lr = [5e-05] +[2024-05-16 11:15:22,324] - INFO: Epoch 1125/9999, Iter 56220: Loss = 0.013789254240691662, lr = [5e-05] +[2024-05-16 11:15:40,670] - INFO: Epoch 1125/9999, Iter 56240: Loss = 0.014461939223110676, lr = [5e-05] +[2024-05-16 11:15:48,110] - INFO: Evaluate at epoch 1125! +[2024-05-16 11:15:51,666] - INFO: Eval PSNR (max): 37.886 (1085) SSIM (max): 0.9604 (1120) +[2024-05-16 11:15:51,666] - INFO: Eval PSNR (current): 37.770 (1125) SSIM (current): 0.9602 (1125) +[2024-05-16 11:15:51,667] - INFO: Evaluation over. +[2024-05-16 11:16:06,241] - INFO: Epoch 1126/9999, Iter 56260: Loss = 0.013641679659485817, lr = [5e-05] +[2024-05-16 11:16:23,548] - INFO: Epoch 1126/9999, Iter 56280: Loss = 0.00895900558680296, lr = [5e-05] +[2024-05-16 11:16:42,464] - INFO: Epoch 1127/9999, Iter 56300: Loss = 0.008694379590451717, lr = [5e-05] +[2024-05-16 11:17:00,232] - INFO: Epoch 1127/9999, Iter 56320: Loss = 0.012646370567381382, lr = [5e-05] +[2024-05-16 11:17:18,293] - INFO: Epoch 1127/9999, Iter 56340: Loss = 0.009414459578692913, lr = [5e-05] +[2024-05-16 11:17:37,433] - INFO: Epoch 1128/9999, Iter 56360: Loss = 0.012591223232448101, lr = [5e-05] +[2024-05-16 11:17:55,515] - INFO: Epoch 1128/9999, Iter 56380: Loss = 0.012146057561039925, lr = [5e-05] +[2024-05-16 11:18:14,472] - INFO: Epoch 1129/9999, Iter 56400: Loss = 0.013975609093904495, lr = [5e-05] +[2024-05-16 11:18:32,233] - INFO: Epoch 1129/9999, Iter 56420: Loss = 0.014257777482271194, lr = [5e-05] +[2024-05-16 11:18:49,625] - INFO: Epoch 1129/9999, Iter 56440: Loss = 0.012099702842533588, lr = [5e-05] +[2024-05-16 11:19:09,469] - INFO: Epoch 1130/9999, Iter 56460: Loss = 0.015677867457270622, lr = [5e-05] +[2024-05-16 11:19:27,367] - INFO: Epoch 1130/9999, Iter 56480: Loss = 0.011123388074338436, lr = [5e-05] +[2024-05-16 11:19:43,970] - INFO: Evaluate at epoch 1130! +[2024-05-16 11:19:47,708] - INFO: Eval PSNR (max): 37.886 (1085) SSIM (max): 0.9604 (1120) +[2024-05-16 11:19:47,708] - INFO: Eval PSNR (current): 37.808 (1130) SSIM (current): 0.9601 (1130) +[2024-05-16 11:19:47,708] - INFO: Evaluation over. +[2024-05-16 11:19:53,728] - INFO: Epoch 1131/9999, Iter 56500: Loss = 0.016854865476489067, lr = [5e-05] +[2024-05-16 11:20:10,844] - INFO: Epoch 1131/9999, Iter 56520: Loss = 0.007329708896577358, lr = [5e-05] +[2024-05-16 11:20:27,952] - INFO: Epoch 1131/9999, Iter 56540: Loss = 0.014041752554476261, lr = [5e-05] +[2024-05-16 11:20:47,406] - INFO: Epoch 1132/9999, Iter 56560: Loss = 0.01345760002732277, lr = [5e-05] +[2024-05-16 11:21:05,035] - INFO: Epoch 1132/9999, Iter 56580: Loss = 0.013267223723232746, lr = [5e-05] +[2024-05-16 11:21:23,816] - INFO: Epoch 1133/9999, Iter 56600: Loss = 0.015774570405483246, lr = [5e-05] +[2024-05-16 11:21:41,202] - INFO: Epoch 1133/9999, Iter 56620: Loss = 0.007887933403253555, lr = [5e-05] +[2024-05-16 11:21:58,935] - INFO: Epoch 1133/9999, Iter 56640: Loss = 0.011394092813134193, lr = [5e-05] +[2024-05-16 11:22:17,441] - INFO: Epoch 1134/9999, Iter 56660: Loss = 0.012743744999170303, lr = [5e-05] +[2024-05-16 11:22:34,628] - INFO: Epoch 1134/9999, Iter 56680: Loss = 0.013114841654896736, lr = [5e-05] +[2024-05-16 11:22:54,561] - INFO: Epoch 1135/9999, Iter 56700: Loss = 0.0142110800370574, lr = [5e-05] +[2024-05-16 11:23:11,549] - INFO: Epoch 1135/9999, Iter 56720: Loss = 0.018619919195771217, lr = [5e-05] +[2024-05-16 11:23:29,335] - INFO: Epoch 1135/9999, Iter 56740: Loss = 0.018343832343816757, lr = [5e-05] +[2024-05-16 11:23:37,064] - INFO: Evaluate at epoch 1135! +[2024-05-16 11:23:40,756] - INFO: Eval PSNR (max): 37.886 (1085) SSIM (max): 0.9604 (1120) +[2024-05-16 11:23:40,757] - INFO: Eval PSNR (current): 37.874 (1135) SSIM (current): 0.9604 (1135) +[2024-05-16 11:23:40,757] - INFO: Evaluation over. +[2024-05-16 11:23:55,620] - INFO: Epoch 1136/9999, Iter 56760: Loss = 0.01321121584624052, lr = [5e-05] +[2024-05-16 11:24:13,693] - INFO: Epoch 1136/9999, Iter 56780: Loss = 0.013689376413822174, lr = [5e-05] +[2024-05-16 11:24:32,529] - INFO: Epoch 1137/9999, Iter 56800: Loss = 0.01621321402490139, lr = [5e-05] +[2024-05-16 11:24:50,584] - INFO: Epoch 1137/9999, Iter 56820: Loss = 0.014165196567773819, lr = [5e-05] +[2024-05-16 11:25:07,852] - INFO: Epoch 1137/9999, Iter 56840: Loss = 0.019566573202610016, lr = [5e-05] +[2024-05-16 11:25:27,154] - INFO: Epoch 1138/9999, Iter 56860: Loss = 0.009124829433858395, lr = [5e-05] +[2024-05-16 11:25:44,936] - INFO: Epoch 1138/9999, Iter 56880: Loss = 0.013322596438229084, lr = [5e-05] +[2024-05-16 11:26:03,520] - INFO: Epoch 1139/9999, Iter 56900: Loss = 0.006306519266217947, lr = [5e-05] +[2024-05-16 11:26:21,406] - INFO: Epoch 1139/9999, Iter 56920: Loss = 0.008755583316087723, lr = [5e-05] +[2024-05-16 11:26:38,749] - INFO: Epoch 1139/9999, Iter 56940: Loss = 0.013942104764282703, lr = [5e-05] +[2024-05-16 11:26:57,852] - INFO: Epoch 1140/9999, Iter 56960: Loss = 0.016450760886073112, lr = [5e-05] +[2024-05-16 11:27:15,764] - INFO: Epoch 1140/9999, Iter 56980: Loss = 0.01245145220309496, lr = [5e-05] +[2024-05-16 11:27:32,285] - INFO: Evaluate at epoch 1140! +[2024-05-16 11:27:35,877] - INFO: Eval PSNR (max): 37.886 (1085) SSIM (max): 0.9604 (1120) +[2024-05-16 11:27:35,878] - INFO: Eval PSNR (current): 37.789 (1140) SSIM (current): 0.9601 (1140) +[2024-05-16 11:27:35,878] - INFO: Evaluation over. +[2024-05-16 11:27:41,936] - INFO: Epoch 1141/9999, Iter 57000: Loss = 0.013318443670868874, lr = [5e-05] +[2024-05-16 11:27:59,680] - INFO: Epoch 1141/9999, Iter 57020: Loss = 0.010771387256681919, lr = [5e-05] +[2024-05-16 11:28:17,896] - INFO: Epoch 1141/9999, Iter 57040: Loss = 0.010375886224210262, lr = [5e-05] +[2024-05-16 11:28:36,412] - INFO: Epoch 1142/9999, Iter 57060: Loss = 0.011534442193806171, lr = [5e-05] +[2024-05-16 11:28:53,457] - INFO: Epoch 1142/9999, Iter 57080: Loss = 0.01713336631655693, lr = [5e-05] +[2024-05-16 11:29:12,892] - INFO: Epoch 1143/9999, Iter 57100: Loss = 0.009207205846905708, lr = [5e-05] +[2024-05-16 11:29:30,873] - INFO: Epoch 1143/9999, Iter 57120: Loss = 0.012300239875912666, lr = [5e-05] +[2024-05-16 11:29:49,007] - INFO: Epoch 1143/9999, Iter 57140: Loss = 0.015274708159267902, lr = [5e-05] +[2024-05-16 11:30:08,028] - INFO: Epoch 1144/9999, Iter 57160: Loss = 0.01055283471941948, lr = [5e-05] +[2024-05-16 11:30:26,430] - INFO: Epoch 1144/9999, Iter 57180: Loss = 0.012363321147859097, lr = [5e-05] +[2024-05-16 11:30:45,320] - INFO: Epoch 1145/9999, Iter 57200: Loss = 0.019870148971676826, lr = [5e-05] +[2024-05-16 11:31:03,478] - INFO: Epoch 1145/9999, Iter 57220: Loss = 0.009894229471683502, lr = [5e-05] +[2024-05-16 11:31:21,412] - INFO: Epoch 1145/9999, Iter 57240: Loss = 0.010532408021390438, lr = [5e-05] +[2024-05-16 11:31:29,172] - INFO: Evaluate at epoch 1145! +[2024-05-16 11:31:32,712] - INFO: Eval PSNR (max): 37.886 (1085) SSIM (max): 0.9604 (1120) +[2024-05-16 11:31:32,712] - INFO: Eval PSNR (current): 37.867 (1145) SSIM (current): 0.9603 (1145) +[2024-05-16 11:31:32,712] - INFO: Evaluation over. +[2024-05-16 11:31:47,806] - INFO: Epoch 1146/9999, Iter 57260: Loss = 0.014681681990623474, lr = [5e-05] +[2024-05-16 11:32:05,932] - INFO: Epoch 1146/9999, Iter 57280: Loss = 0.011143083684146404, lr = [5e-05] +[2024-05-16 11:32:24,855] - INFO: Epoch 1147/9999, Iter 57300: Loss = 0.01177266240119934, lr = [5e-05] +[2024-05-16 11:32:43,144] - INFO: Epoch 1147/9999, Iter 57320: Loss = 0.014351860620081425, lr = [5e-05] +[2024-05-16 11:33:01,007] - INFO: Epoch 1147/9999, Iter 57340: Loss = 0.011087295599281788, lr = [5e-05] +[2024-05-16 11:33:19,780] - INFO: Epoch 1148/9999, Iter 57360: Loss = 0.011904914863407612, lr = [5e-05] +[2024-05-16 11:33:37,219] - INFO: Epoch 1148/9999, Iter 57380: Loss = 0.014517271891236305, lr = [5e-05] +[2024-05-16 11:33:56,416] - INFO: Epoch 1149/9999, Iter 57400: Loss = 0.015160039998590946, lr = [5e-05] +[2024-05-16 11:34:14,419] - INFO: Epoch 1149/9999, Iter 57420: Loss = 0.011923432350158691, lr = [5e-05] +[2024-05-16 11:34:31,696] - INFO: Epoch 1149/9999, Iter 57440: Loss = 0.012153159826993942, lr = [5e-05] +[2024-05-16 11:34:51,028] - INFO: Epoch 1150/9999, Iter 57460: Loss = 0.013013189658522606, lr = [5e-05] +[2024-05-16 11:35:08,562] - INFO: Epoch 1150/9999, Iter 57480: Loss = 0.011161918751895428, lr = [5e-05] +[2024-05-16 11:35:25,482] - INFO: Evaluate at epoch 1150! +[2024-05-16 11:35:28,955] - INFO: Eval PSNR (max): 37.886 (1085) SSIM (max): 0.9604 (1120) +[2024-05-16 11:35:28,955] - INFO: Eval PSNR (current): 37.859 (1150) SSIM (current): 0.9603 (1150) +[2024-05-16 11:35:28,955] - INFO: Evaluation over. +[2024-05-16 11:35:34,962] - INFO: Epoch 1151/9999, Iter 57500: Loss = 0.013278578408062458, lr = [5e-05] +[2024-05-16 11:35:53,364] - INFO: Epoch 1151/9999, Iter 57520: Loss = 0.015402202494442463, lr = [5e-05] +[2024-05-16 11:36:11,086] - INFO: Epoch 1151/9999, Iter 57540: Loss = 0.010472682304680347, lr = [5e-05] +[2024-05-16 11:36:30,246] - INFO: Epoch 1152/9999, Iter 57560: Loss = 0.015308958478271961, lr = [5e-05] +[2024-05-16 11:36:48,732] - INFO: Epoch 1152/9999, Iter 57580: Loss = 0.012088791467249393, lr = [5e-05] +[2024-05-16 11:37:07,603] - INFO: Epoch 1153/9999, Iter 57600: Loss = 0.012591628357768059, lr = [5e-05] +[2024-05-16 11:37:24,714] - INFO: Epoch 1153/9999, Iter 57620: Loss = 0.012675364501774311, lr = [5e-05] +[2024-05-16 11:37:42,780] - INFO: Epoch 1153/9999, Iter 57640: Loss = 0.011015267111361027, lr = [5e-05] +[2024-05-16 11:38:02,284] - INFO: Epoch 1154/9999, Iter 57660: Loss = 0.013582388870418072, lr = [5e-05] +[2024-05-16 11:38:20,824] - INFO: Epoch 1154/9999, Iter 57680: Loss = 0.01124794315546751, lr = [5e-05] +[2024-05-16 11:38:39,932] - INFO: Epoch 1155/9999, Iter 57700: Loss = 0.016840297728776932, lr = [5e-05] +[2024-05-16 11:38:57,838] - INFO: Epoch 1155/9999, Iter 57720: Loss = 0.011117621324956417, lr = [5e-05] +[2024-05-16 11:39:15,502] - INFO: Epoch 1155/9999, Iter 57740: Loss = 0.01352747157216072, lr = [5e-05] +[2024-05-16 11:39:23,406] - INFO: Evaluate at epoch 1155! +[2024-05-16 11:39:26,991] - INFO: Eval PSNR (max): 37.886 (1085) SSIM (max): 0.9604 (1120) +[2024-05-16 11:39:26,991] - INFO: Eval PSNR (current): 37.847 (1155) SSIM (current): 0.9603 (1155) +[2024-05-16 11:39:26,992] - INFO: Evaluation over. +[2024-05-16 11:39:41,695] - INFO: Epoch 1156/9999, Iter 57760: Loss = 0.009944950230419636, lr = [5e-05] +[2024-05-16 11:39:59,427] - INFO: Epoch 1156/9999, Iter 57780: Loss = 0.0137712974101305, lr = [5e-05] +[2024-05-16 11:40:18,538] - INFO: Epoch 1157/9999, Iter 57800: Loss = 0.016148701310157776, lr = [5e-05] +[2024-05-16 11:40:36,656] - INFO: Epoch 1157/9999, Iter 57820: Loss = 0.011835695244371891, lr = [5e-05] +[2024-05-16 11:40:54,720] - INFO: Epoch 1157/9999, Iter 57840: Loss = 0.014180500991642475, lr = [5e-05] +[2024-05-16 11:41:13,716] - INFO: Epoch 1158/9999, Iter 57860: Loss = 0.00943924579769373, lr = [5e-05] +[2024-05-16 11:41:31,652] - INFO: Epoch 1158/9999, Iter 57880: Loss = 0.01121691893786192, lr = [5e-05] +[2024-05-16 11:41:50,084] - INFO: Epoch 1159/9999, Iter 57900: Loss = 0.011185858398675919, lr = [5e-05] +[2024-05-16 11:42:07,511] - INFO: Epoch 1159/9999, Iter 57920: Loss = 0.009831853210926056, lr = [5e-05] +[2024-05-16 11:42:24,863] - INFO: Epoch 1159/9999, Iter 57940: Loss = 0.016976328566670418, lr = [5e-05] +[2024-05-16 11:42:44,082] - INFO: Epoch 1160/9999, Iter 57960: Loss = 0.01497337780892849, lr = [5e-05] +[2024-05-16 11:43:01,176] - INFO: Epoch 1160/9999, Iter 57980: Loss = 0.017908139154314995, lr = [5e-05] +[2024-05-16 11:43:17,887] - INFO: Evaluate at epoch 1160! +[2024-05-16 11:43:21,514] - INFO: Eval PSNR (max): 37.886 (1085) SSIM (max): 0.9604 (1120) +[2024-05-16 11:43:21,514] - INFO: Eval PSNR (current): 37.859 (1160) SSIM (current): 0.9604 (1160) +[2024-05-16 11:43:21,514] - INFO: Evaluation over. +[2024-05-16 11:43:27,647] - INFO: Epoch 1161/9999, Iter 58000: Loss = 0.012477737851440907, lr = [5e-05] +[2024-05-16 11:43:45,692] - INFO: Epoch 1161/9999, Iter 58020: Loss = 0.013546288944780827, lr = [5e-05] +[2024-05-16 11:44:03,746] - INFO: Epoch 1161/9999, Iter 58040: Loss = 0.008357902988791466, lr = [5e-05] +[2024-05-16 11:44:22,484] - INFO: Epoch 1162/9999, Iter 58060: Loss = 0.010742192156612873, lr = [5e-05] +[2024-05-16 11:44:40,777] - INFO: Epoch 1162/9999, Iter 58080: Loss = 0.007551512215286493, lr = [5e-05] +[2024-05-16 11:44:59,701] - INFO: Epoch 1163/9999, Iter 58100: Loss = 0.012220779433846474, lr = [5e-05] +[2024-05-16 11:45:17,496] - INFO: Epoch 1163/9999, Iter 58120: Loss = 0.009652532637119293, lr = [5e-05] +[2024-05-16 11:45:35,680] - INFO: Epoch 1163/9999, Iter 58140: Loss = 0.010335134342312813, lr = [5e-05] +[2024-05-16 11:45:54,724] - INFO: Epoch 1164/9999, Iter 58160: Loss = 0.015212622471153736, lr = [5e-05] +[2024-05-16 11:46:12,807] - INFO: Epoch 1164/9999, Iter 58180: Loss = 0.014987565577030182, lr = [5e-05] +[2024-05-16 11:46:31,852] - INFO: Epoch 1165/9999, Iter 58200: Loss = 0.011554772034287453, lr = [5e-05] +[2024-05-16 11:46:49,146] - INFO: Epoch 1165/9999, Iter 58220: Loss = 0.015031980350613594, lr = [5e-05] +[2024-05-16 11:47:06,068] - INFO: Epoch 1165/9999, Iter 58240: Loss = 0.008327624760568142, lr = [5e-05] +[2024-05-16 11:47:14,470] - INFO: Evaluate at epoch 1165! +[2024-05-16 11:47:25,493] - INFO: Eval PSNR (max): 37.889 (1165) SSIM (max): 0.9604 (1165) +[2024-05-16 11:47:25,494] - INFO: Eval PSNR (current): 37.889 (1165) SSIM (current): 0.9604 (1165) +[2024-05-16 11:47:25,494] - INFO: Evaluation over. +[2024-05-16 11:47:40,172] - INFO: Epoch 1166/9999, Iter 58260: Loss = 0.01161609124392271, lr = [5e-05] +[2024-05-16 11:47:57,812] - INFO: Epoch 1166/9999, Iter 58280: Loss = 0.014330918900668621, lr = [5e-05] +[2024-05-16 11:48:17,164] - INFO: Epoch 1167/9999, Iter 58300: Loss = 0.012121973559260368, lr = [5e-05] +[2024-05-16 11:48:34,561] - INFO: Epoch 1167/9999, Iter 58320: Loss = 0.015542296692728996, lr = [5e-05] +[2024-05-16 11:48:51,953] - INFO: Epoch 1167/9999, Iter 58340: Loss = 0.010437540709972382, lr = [5e-05] +[2024-05-16 11:49:12,118] - INFO: Epoch 1168/9999, Iter 58360: Loss = 0.015939196571707726, lr = [5e-05] +[2024-05-16 11:49:29,629] - INFO: Epoch 1168/9999, Iter 58380: Loss = 0.01180761307477951, lr = [5e-05] +[2024-05-16 11:49:48,657] - INFO: Epoch 1169/9999, Iter 58400: Loss = 0.010061182081699371, lr = [5e-05] +[2024-05-16 11:50:06,547] - INFO: Epoch 1169/9999, Iter 58420: Loss = 0.021738171577453613, lr = [5e-05] +[2024-05-16 11:50:23,168] - INFO: Epoch 1169/9999, Iter 58440: Loss = 0.008808283135294914, lr = [5e-05] +[2024-05-16 11:50:41,867] - INFO: Epoch 1170/9999, Iter 58460: Loss = 0.009558559395372868, lr = [5e-05] +[2024-05-16 11:50:59,176] - INFO: Epoch 1170/9999, Iter 58480: Loss = 0.013214215636253357, lr = [5e-05] +[2024-05-16 11:51:15,876] - INFO: Evaluate at epoch 1170! +[2024-05-16 11:51:19,491] - INFO: Eval PSNR (max): 37.889 (1165) SSIM (max): 0.9604 (1165) +[2024-05-16 11:51:19,492] - INFO: Eval PSNR (current): 37.865 (1170) SSIM (current): 0.9603 (1170) +[2024-05-16 11:51:19,492] - INFO: Evaluation over. +[2024-05-16 11:51:25,408] - INFO: Epoch 1171/9999, Iter 58500: Loss = 0.010809218510985374, lr = [5e-05] +[2024-05-16 11:51:43,476] - INFO: Epoch 1171/9999, Iter 58520: Loss = 0.01059205923229456, lr = [5e-05] +[2024-05-16 11:52:01,384] - INFO: Epoch 1171/9999, Iter 58540: Loss = 0.011592810042202473, lr = [5e-05] +[2024-05-16 11:52:20,272] - INFO: Epoch 1172/9999, Iter 58560: Loss = 0.014746631495654583, lr = [5e-05] +[2024-05-16 11:52:38,092] - INFO: Epoch 1172/9999, Iter 58580: Loss = 0.014079255983233452, lr = [5e-05] +[2024-05-16 11:52:57,638] - INFO: Epoch 1173/9999, Iter 58600: Loss = 0.015473687089979649, lr = [5e-05] +[2024-05-16 11:53:16,036] - INFO: Epoch 1173/9999, Iter 58620: Loss = 0.01538174320012331, lr = [5e-05] +[2024-05-16 11:53:33,790] - INFO: Epoch 1173/9999, Iter 58640: Loss = 0.012804387137293816, lr = [5e-05] +[2024-05-16 11:53:52,279] - INFO: Epoch 1174/9999, Iter 58660: Loss = 0.014136530458927155, lr = [5e-05] +[2024-05-16 11:54:10,488] - INFO: Epoch 1174/9999, Iter 58680: Loss = 0.018394824117422104, lr = [5e-05] +[2024-05-16 11:54:29,820] - INFO: Epoch 1175/9999, Iter 58700: Loss = 0.007176174316555262, lr = [5e-05] +[2024-05-16 11:54:47,672] - INFO: Epoch 1175/9999, Iter 58720: Loss = 0.01171053759753704, lr = [5e-05] +[2024-05-16 11:55:04,918] - INFO: Epoch 1175/9999, Iter 58740: Loss = 0.013259410858154297, lr = [5e-05] +[2024-05-16 11:55:12,612] - INFO: Evaluate at epoch 1175! +[2024-05-16 11:55:19,585] - INFO: Eval PSNR (max): 37.889 (1165) SSIM (max): 0.9604 (1175) +[2024-05-16 11:55:19,586] - INFO: Eval PSNR (current): 37.794 (1175) SSIM (current): 0.9604 (1175) +[2024-05-16 11:55:19,586] - INFO: Evaluation over. +[2024-05-16 11:55:34,297] - INFO: Epoch 1176/9999, Iter 58760: Loss = 0.011461297981441021, lr = [5e-05] +[2024-05-16 11:55:52,504] - INFO: Epoch 1176/9999, Iter 58780: Loss = 0.02024160884320736, lr = [5e-05] +[2024-05-16 11:56:11,564] - INFO: Epoch 1177/9999, Iter 58800: Loss = 0.009687731973826885, lr = [5e-05] +[2024-05-16 11:56:30,008] - INFO: Epoch 1177/9999, Iter 58820: Loss = 0.01077373418956995, lr = [5e-05] +[2024-05-16 11:56:47,669] - INFO: Epoch 1177/9999, Iter 58840: Loss = 0.011393302120268345, lr = [5e-05] +[2024-05-16 11:57:06,804] - INFO: Epoch 1178/9999, Iter 58860: Loss = 0.013585160486400127, lr = [5e-05] +[2024-05-16 11:57:24,324] - INFO: Epoch 1178/9999, Iter 58880: Loss = 0.021294767037034035, lr = [5e-05] +[2024-05-16 11:57:43,836] - INFO: Epoch 1179/9999, Iter 58900: Loss = 0.015217415988445282, lr = [5e-05] +[2024-05-16 11:58:02,136] - INFO: Epoch 1179/9999, Iter 58920: Loss = 0.015643365681171417, lr = [5e-05] +[2024-05-16 11:58:19,893] - INFO: Epoch 1179/9999, Iter 58940: Loss = 0.01810772530734539, lr = [5e-05] +[2024-05-16 11:58:39,179] - INFO: Epoch 1180/9999, Iter 58960: Loss = 0.012423336505889893, lr = [5e-05] +[2024-05-16 11:58:56,723] - INFO: Epoch 1180/9999, Iter 58980: Loss = 0.011641919612884521, lr = [5e-05] +[2024-05-16 11:59:13,197] - INFO: Evaluate at epoch 1180! +[2024-05-16 11:59:16,602] - INFO: Eval PSNR (max): 37.889 (1165) SSIM (max): 0.9604 (1175) +[2024-05-16 11:59:16,602] - INFO: Eval PSNR (current): 37.786 (1180) SSIM (current): 0.9602 (1180) +[2024-05-16 11:59:16,602] - INFO: Evaluation over. +[2024-05-16 11:59:22,452] - INFO: Epoch 1181/9999, Iter 59000: Loss = 0.01316413190215826, lr = [5e-05] +[2024-05-16 11:59:40,076] - INFO: Epoch 1181/9999, Iter 59020: Loss = 0.012475411407649517, lr = [5e-05] +[2024-05-16 11:59:57,708] - INFO: Epoch 1181/9999, Iter 59040: Loss = 0.010548845864832401, lr = [5e-05] +[2024-05-16 12:00:17,415] - INFO: Epoch 1182/9999, Iter 59060: Loss = 0.012658483348786831, lr = [5e-05] +[2024-05-16 12:00:35,608] - INFO: Epoch 1182/9999, Iter 59080: Loss = 0.015064088627696037, lr = [5e-05] +[2024-05-16 12:00:53,976] - INFO: Epoch 1183/9999, Iter 59100: Loss = 0.00948790367692709, lr = [5e-05] +[2024-05-16 12:01:11,888] - INFO: Epoch 1183/9999, Iter 59120: Loss = 0.014774493873119354, lr = [5e-05] +[2024-05-16 12:01:29,368] - INFO: Epoch 1183/9999, Iter 59140: Loss = 0.01406264677643776, lr = [5e-05] +[2024-05-16 12:01:48,124] - INFO: Epoch 1184/9999, Iter 59160: Loss = 0.01125149056315422, lr = [5e-05] +[2024-05-16 12:02:06,180] - INFO: Epoch 1184/9999, Iter 59180: Loss = 0.013147726655006409, lr = [5e-05] +[2024-05-16 12:02:25,162] - INFO: Epoch 1185/9999, Iter 59200: Loss = 0.008116227574646473, lr = [5e-05] +[2024-05-16 12:02:42,692] - INFO: Epoch 1185/9999, Iter 59220: Loss = 0.011894319206476212, lr = [5e-05] +[2024-05-16 12:03:00,532] - INFO: Epoch 1185/9999, Iter 59240: Loss = 0.011742480099201202, lr = [5e-05] +[2024-05-16 12:03:08,308] - INFO: Evaluate at epoch 1185! +[2024-05-16 12:03:11,799] - INFO: Eval PSNR (max): 37.889 (1165) SSIM (max): 0.9604 (1175) +[2024-05-16 12:03:11,799] - INFO: Eval PSNR (current): 37.868 (1185) SSIM (current): 0.9603 (1185) +[2024-05-16 12:03:11,799] - INFO: Evaluation over. +[2024-05-16 12:03:26,806] - INFO: Epoch 1186/9999, Iter 59260: Loss = 0.011847815476357937, lr = [5e-05] +[2024-05-16 12:03:45,000] - INFO: Epoch 1186/9999, Iter 59280: Loss = 0.008031264878809452, lr = [5e-05] +[2024-05-16 12:04:04,155] - INFO: Epoch 1187/9999, Iter 59300: Loss = 0.013085837475955486, lr = [5e-05] +[2024-05-16 12:04:21,722] - INFO: Epoch 1187/9999, Iter 59320: Loss = 0.012036876752972603, lr = [5e-05] +[2024-05-16 12:04:38,712] - INFO: Epoch 1187/9999, Iter 59340: Loss = 0.014705914072692394, lr = [5e-05] +[2024-05-16 12:04:57,800] - INFO: Epoch 1188/9999, Iter 59360: Loss = 0.010538117028772831, lr = [5e-05] +[2024-05-16 12:05:15,457] - INFO: Epoch 1188/9999, Iter 59380: Loss = 0.013299603015184402, lr = [5e-05] +[2024-05-16 12:05:34,510] - INFO: Epoch 1189/9999, Iter 59400: Loss = 0.011607658118009567, lr = [5e-05] +[2024-05-16 12:05:51,756] - INFO: Epoch 1189/9999, Iter 59420: Loss = 0.016473844647407532, lr = [5e-05] +[2024-05-16 12:06:09,408] - INFO: Epoch 1189/9999, Iter 59440: Loss = 0.009729343466460705, lr = [5e-05] +[2024-05-16 12:06:28,226] - INFO: Epoch 1190/9999, Iter 59460: Loss = 0.011217616498470306, lr = [5e-05] +[2024-05-16 12:06:46,015] - INFO: Epoch 1190/9999, Iter 59480: Loss = 0.015759093686938286, lr = [5e-05] +[2024-05-16 12:07:02,423] - INFO: Evaluate at epoch 1190! +[2024-05-16 12:07:05,881] - INFO: Eval PSNR (max): 37.889 (1165) SSIM (max): 0.9604 (1175) +[2024-05-16 12:07:05,881] - INFO: Eval PSNR (current): 37.828 (1190) SSIM (current): 0.9603 (1190) +[2024-05-16 12:07:05,882] - INFO: Evaluation over. +[2024-05-16 12:07:12,014] - INFO: Epoch 1191/9999, Iter 59500: Loss = 0.011779798194766045, lr = [5e-05] +[2024-05-16 12:07:30,043] - INFO: Epoch 1191/9999, Iter 59520: Loss = 0.013775940053164959, lr = [5e-05] +[2024-05-16 12:07:48,152] - INFO: Epoch 1191/9999, Iter 59540: Loss = 0.014731073752045631, lr = [5e-05] +[2024-05-16 12:08:06,547] - INFO: Epoch 1192/9999, Iter 59560: Loss = 0.018259454518556595, lr = [5e-05] +[2024-05-16 12:08:24,166] - INFO: Epoch 1192/9999, Iter 59580: Loss = 0.011961827054619789, lr = [5e-05] +[2024-05-16 12:08:43,088] - INFO: Epoch 1193/9999, Iter 59600: Loss = 0.008412621915340424, lr = [5e-05] +[2024-05-16 12:09:00,312] - INFO: Epoch 1193/9999, Iter 59620: Loss = 0.013436030596494675, lr = [5e-05] +[2024-05-16 12:09:18,202] - INFO: Epoch 1193/9999, Iter 59640: Loss = 0.011067483574151993, lr = [5e-05] +[2024-05-16 12:09:37,424] - INFO: Epoch 1194/9999, Iter 59660: Loss = 0.011530810035765171, lr = [5e-05] +[2024-05-16 12:09:54,368] - INFO: Epoch 1194/9999, Iter 59680: Loss = 0.010655023157596588, lr = [5e-05] +[2024-05-16 12:10:13,520] - INFO: Epoch 1195/9999, Iter 59700: Loss = 0.011356945149600506, lr = [5e-05] +[2024-05-16 12:10:31,825] - INFO: Epoch 1195/9999, Iter 59720: Loss = 0.009564798325300217, lr = [5e-05] +[2024-05-16 12:10:49,715] - INFO: Epoch 1195/9999, Iter 59740: Loss = 0.02114246040582657, lr = [5e-05] +[2024-05-16 12:10:57,024] - INFO: Evaluate at epoch 1195! +[2024-05-16 12:11:04,382] - INFO: Eval PSNR (max): 37.889 (1165) SSIM (max): 0.9605 (1195) +[2024-05-16 12:11:04,382] - INFO: Eval PSNR (current): 37.862 (1195) SSIM (current): 0.9605 (1195) +[2024-05-16 12:11:04,382] - INFO: Evaluation over. +[2024-05-16 12:11:19,480] - INFO: Epoch 1196/9999, Iter 59760: Loss = 0.015392351895570755, lr = [5e-05] +[2024-05-16 12:11:37,731] - INFO: Epoch 1196/9999, Iter 59780: Loss = 0.01015139278024435, lr = [5e-05] +[2024-05-16 12:11:56,495] - INFO: Epoch 1197/9999, Iter 59800: Loss = 0.013634227216243744, lr = [5e-05] +[2024-05-16 12:12:14,716] - INFO: Epoch 1197/9999, Iter 59820: Loss = 0.01588231697678566, lr = [5e-05] +[2024-05-16 12:12:32,996] - INFO: Epoch 1197/9999, Iter 59840: Loss = 0.014248015359044075, lr = [5e-05] +[2024-05-16 12:12:52,040] - INFO: Epoch 1198/9999, Iter 59860: Loss = 0.011423354037106037, lr = [5e-05] +[2024-05-16 12:13:09,092] - INFO: Epoch 1198/9999, Iter 59880: Loss = 0.017651405185461044, lr = [5e-05] +[2024-05-16 12:13:27,836] - INFO: Epoch 1199/9999, Iter 59900: Loss = 0.01569598726928234, lr = [5e-05] +[2024-05-16 12:13:44,857] - INFO: Epoch 1199/9999, Iter 59920: Loss = 0.014457736164331436, lr = [5e-05] +[2024-05-16 12:14:02,367] - INFO: Epoch 1199/9999, Iter 59940: Loss = 0.01143950317054987, lr = [5e-05] +[2024-05-16 12:14:21,212] - INFO: Epoch 1200/9999, Iter 59960: Loss = 0.014063285663723946, lr = [5e-05] +[2024-05-16 12:14:38,267] - INFO: Epoch 1200/9999, Iter 59980: Loss = 0.01450847927480936, lr = [5e-05] +[2024-05-16 12:14:54,466] - INFO: Evaluate at epoch 1200! +[2024-05-16 12:14:58,124] - INFO: Eval PSNR (max): 37.889 (1165) SSIM (max): 0.9605 (1195) +[2024-05-16 12:14:58,125] - INFO: Eval PSNR (current): 37.841 (1200) SSIM (current): 0.9603 (1200) +[2024-05-16 12:14:58,125] - INFO: Evaluation over. +[2024-05-16 12:15:04,248] - INFO: Epoch 1201/9999, Iter 60000: Loss = 0.016957055777311325, lr = [5e-05] +[2024-05-16 12:15:21,934] - INFO: Epoch 1201/9999, Iter 60020: Loss = 0.014166955836117268, lr = [5e-05] +[2024-05-16 12:15:40,329] - INFO: Epoch 1201/9999, Iter 60040: Loss = 0.011525423265993595, lr = [5e-05] +[2024-05-16 12:15:58,546] - INFO: Epoch 1202/9999, Iter 60060: Loss = 0.01318297442048788, lr = [5e-05] +[2024-05-16 12:16:15,994] - INFO: Epoch 1202/9999, Iter 60080: Loss = 0.010984719730913639, lr = [5e-05] +[2024-05-16 12:16:34,762] - INFO: Epoch 1203/9999, Iter 60100: Loss = 0.012111951597034931, lr = [5e-05] +[2024-05-16 12:16:51,658] - INFO: Epoch 1203/9999, Iter 60120: Loss = 0.01466379128396511, lr = [5e-05] +[2024-05-16 12:17:09,127] - INFO: Epoch 1203/9999, Iter 60140: Loss = 0.012460676953196526, lr = [5e-05] +[2024-05-16 12:17:27,774] - INFO: Epoch 1204/9999, Iter 60160: Loss = 0.012957587838172913, lr = [5e-05] +[2024-05-16 12:17:45,166] - INFO: Epoch 1204/9999, Iter 60180: Loss = 0.014619111083447933, lr = [5e-05] +[2024-05-16 12:18:04,222] - INFO: Epoch 1205/9999, Iter 60200: Loss = 0.015166950412094593, lr = [5e-05] +[2024-05-16 12:18:21,400] - INFO: Epoch 1205/9999, Iter 60220: Loss = 0.020875683054327965, lr = [5e-05] +[2024-05-16 12:18:38,845] - INFO: Epoch 1205/9999, Iter 60240: Loss = 0.01300889067351818, lr = [5e-05] +[2024-05-16 12:18:46,798] - INFO: Evaluate at epoch 1205! +[2024-05-16 12:18:50,410] - INFO: Eval PSNR (max): 37.889 (1165) SSIM (max): 0.9605 (1195) +[2024-05-16 12:18:50,410] - INFO: Eval PSNR (current): 37.887 (1205) SSIM (current): 0.9605 (1205) +[2024-05-16 12:18:50,410] - INFO: Evaluation over. +[2024-05-16 12:19:04,956] - INFO: Epoch 1206/9999, Iter 60260: Loss = 0.013765388168394566, lr = [5e-05] +[2024-05-16 12:19:23,226] - INFO: Epoch 1206/9999, Iter 60280: Loss = 0.014065831899642944, lr = [5e-05] +[2024-05-16 12:19:42,361] - INFO: Epoch 1207/9999, Iter 60300: Loss = 0.018724437803030014, lr = [5e-05] +[2024-05-16 12:20:00,452] - INFO: Epoch 1207/9999, Iter 60320: Loss = 0.009173785336315632, lr = [5e-05] +[2024-05-16 12:20:17,914] - INFO: Epoch 1207/9999, Iter 60340: Loss = 0.012323993258178234, lr = [5e-05] +[2024-05-16 12:20:36,341] - INFO: Epoch 1208/9999, Iter 60360: Loss = 0.011609402485191822, lr = [5e-05] +[2024-05-16 12:20:54,682] - INFO: Epoch 1208/9999, Iter 60380: Loss = 0.009288364090025425, lr = [5e-05] +[2024-05-16 12:21:13,732] - INFO: Epoch 1209/9999, Iter 60400: Loss = 0.011528042145073414, lr = [5e-05] +[2024-05-16 12:21:30,685] - INFO: Epoch 1209/9999, Iter 60420: Loss = 0.012181105092167854, lr = [5e-05] +[2024-05-16 12:21:48,496] - INFO: Epoch 1209/9999, Iter 60440: Loss = 0.011731410399079323, lr = [5e-05] +[2024-05-16 12:22:07,962] - INFO: Epoch 1210/9999, Iter 60460: Loss = 0.01532210223376751, lr = [5e-05] +[2024-05-16 12:22:25,305] - INFO: Epoch 1210/9999, Iter 60480: Loss = 0.012664401903748512, lr = [5e-05] +[2024-05-16 12:22:41,866] - INFO: Evaluate at epoch 1210! +[2024-05-16 12:22:45,329] - INFO: Eval PSNR (max): 37.889 (1165) SSIM (max): 0.9605 (1195) +[2024-05-16 12:22:45,329] - INFO: Eval PSNR (current): 37.862 (1210) SSIM (current): 0.9603 (1210) +[2024-05-16 12:22:45,329] - INFO: Evaluation over. +[2024-05-16 12:22:51,475] - INFO: Epoch 1211/9999, Iter 60500: Loss = 0.013624430634081364, lr = [5e-05] +[2024-05-16 12:23:09,465] - INFO: Epoch 1211/9999, Iter 60520: Loss = 0.011035451665520668, lr = [5e-05] +[2024-05-16 12:23:26,856] - INFO: Epoch 1211/9999, Iter 60540: Loss = 0.014655510894954205, lr = [5e-05] +[2024-05-16 12:23:46,088] - INFO: Epoch 1212/9999, Iter 60560: Loss = 0.01137488428503275, lr = [5e-05] +[2024-05-16 12:24:04,226] - INFO: Epoch 1212/9999, Iter 60580: Loss = 0.010244929231703281, lr = [5e-05] +[2024-05-16 12:24:23,236] - INFO: Epoch 1213/9999, Iter 60600: Loss = 0.01654871553182602, lr = [5e-05] +[2024-05-16 12:24:41,270] - INFO: Epoch 1213/9999, Iter 60620: Loss = 0.009447269141674042, lr = [5e-05] +[2024-05-16 12:24:59,152] - INFO: Epoch 1213/9999, Iter 60640: Loss = 0.014948591589927673, lr = [5e-05] +[2024-05-16 12:25:18,132] - INFO: Epoch 1214/9999, Iter 60660: Loss = 0.008165333420038223, lr = [5e-05] +[2024-05-16 12:25:35,564] - INFO: Epoch 1214/9999, Iter 60680: Loss = 0.013302607461810112, lr = [5e-05] +[2024-05-16 12:25:55,325] - INFO: Epoch 1215/9999, Iter 60700: Loss = 0.014422069303691387, lr = [5e-05] +[2024-05-16 12:26:12,945] - INFO: Epoch 1215/9999, Iter 60720: Loss = 0.009727523662149906, lr = [5e-05] +[2024-05-16 12:26:31,531] - INFO: Epoch 1215/9999, Iter 60740: Loss = 0.017612027004361153, lr = [5e-05] +[2024-05-16 12:26:39,270] - INFO: Evaluate at epoch 1215! +[2024-05-16 12:26:42,809] - INFO: Eval PSNR (max): 37.889 (1165) SSIM (max): 0.9605 (1195) +[2024-05-16 12:26:42,809] - INFO: Eval PSNR (current): 37.866 (1215) SSIM (current): 0.9604 (1215) +[2024-05-16 12:26:42,809] - INFO: Evaluation over. +[2024-05-16 12:26:56,984] - INFO: Epoch 1216/9999, Iter 60760: Loss = 0.013640743680298328, lr = [5e-05] +[2024-05-16 12:27:14,299] - INFO: Epoch 1216/9999, Iter 60780: Loss = 0.013149387203156948, lr = [5e-05] +[2024-05-16 12:27:33,424] - INFO: Epoch 1217/9999, Iter 60800: Loss = 0.012188092805445194, lr = [5e-05] +[2024-05-16 12:27:50,788] - INFO: Epoch 1217/9999, Iter 60820: Loss = 0.017549971118569374, lr = [5e-05] +[2024-05-16 12:28:09,299] - INFO: Epoch 1217/9999, Iter 60840: Loss = 0.013231230899691582, lr = [5e-05] +[2024-05-16 12:28:27,872] - INFO: Epoch 1218/9999, Iter 60860: Loss = 0.014967863447964191, lr = [5e-05] +[2024-05-16 12:28:45,566] - INFO: Epoch 1218/9999, Iter 60880: Loss = 0.02620231732726097, lr = [5e-05] +[2024-05-16 12:29:05,039] - INFO: Epoch 1219/9999, Iter 60900: Loss = 0.013579107820987701, lr = [5e-05] +[2024-05-16 12:29:22,899] - INFO: Epoch 1219/9999, Iter 60920: Loss = 0.013951126486063004, lr = [5e-05] +[2024-05-16 12:29:41,016] - INFO: Epoch 1219/9999, Iter 60940: Loss = 0.021393047645688057, lr = [5e-05] +[2024-05-16 12:29:59,946] - INFO: Epoch 1220/9999, Iter 60960: Loss = 0.020335687324404716, lr = [5e-05] +[2024-05-16 12:30:17,531] - INFO: Epoch 1220/9999, Iter 60980: Loss = 0.014013961888849735, lr = [5e-05] +[2024-05-16 12:30:34,489] - INFO: Evaluate at epoch 1220! +[2024-05-16 12:30:38,094] - INFO: Eval PSNR (max): 37.889 (1165) SSIM (max): 0.9605 (1195) +[2024-05-16 12:30:38,094] - INFO: Eval PSNR (current): 37.846 (1220) SSIM (current): 0.9602 (1220) +[2024-05-16 12:30:38,094] - INFO: Evaluation over. +[2024-05-16 12:30:44,184] - INFO: Epoch 1221/9999, Iter 61000: Loss = 0.011076838709414005, lr = [5e-05] +[2024-05-16 12:31:01,941] - INFO: Epoch 1221/9999, Iter 61020: Loss = 0.008135455660521984, lr = [5e-05] +[2024-05-16 12:31:20,032] - INFO: Epoch 1221/9999, Iter 61040: Loss = 0.010154376737773418, lr = [5e-05] +[2024-05-16 12:31:38,282] - INFO: Epoch 1222/9999, Iter 61060: Loss = 0.014485678635537624, lr = [5e-05] +[2024-05-16 12:31:55,980] - INFO: Epoch 1222/9999, Iter 61080: Loss = 0.01338738389313221, lr = [5e-05] +[2024-05-16 12:32:15,337] - INFO: Epoch 1223/9999, Iter 61100: Loss = 0.016850272193551064, lr = [5e-05] +[2024-05-16 12:32:33,304] - INFO: Epoch 1223/9999, Iter 61120: Loss = 0.015828333795070648, lr = [5e-05] +[2024-05-16 12:32:51,176] - INFO: Epoch 1223/9999, Iter 61140: Loss = 0.008651859126985073, lr = [5e-05] +[2024-05-16 12:33:10,770] - INFO: Epoch 1224/9999, Iter 61160: Loss = 0.011175427585840225, lr = [5e-05] +[2024-05-16 12:33:28,222] - INFO: Epoch 1224/9999, Iter 61180: Loss = 0.019045960158109665, lr = [5e-05] +[2024-05-16 12:33:46,361] - INFO: Epoch 1225/9999, Iter 61200: Loss = 0.01202183123677969, lr = [5e-05] +[2024-05-16 12:34:04,672] - INFO: Epoch 1225/9999, Iter 61220: Loss = 0.01592843048274517, lr = [5e-05] +[2024-05-16 12:34:22,312] - INFO: Epoch 1225/9999, Iter 61240: Loss = 0.013101611286401749, lr = [5e-05] +[2024-05-16 12:34:29,860] - INFO: Evaluate at epoch 1225! +[2024-05-16 12:34:37,591] - INFO: Eval PSNR (max): 37.895 (1225) SSIM (max): 0.9605 (1195) +[2024-05-16 12:34:37,592] - INFO: Eval PSNR (current): 37.895 (1225) SSIM (current): 0.9605 (1225) +[2024-05-16 12:34:37,592] - INFO: Evaluation over. +[2024-05-16 12:34:52,428] - INFO: Epoch 1226/9999, Iter 61260: Loss = 0.014621196314692497, lr = [5e-05] +[2024-05-16 12:35:09,770] - INFO: Epoch 1226/9999, Iter 61280: Loss = 0.015953289344906807, lr = [5e-05] +[2024-05-16 12:35:29,159] - INFO: Epoch 1227/9999, Iter 61300: Loss = 0.01620192639529705, lr = [5e-05] +[2024-05-16 12:35:46,333] - INFO: Epoch 1227/9999, Iter 61320: Loss = 0.014610127545893192, lr = [5e-05] +[2024-05-16 12:36:04,388] - INFO: Epoch 1227/9999, Iter 61340: Loss = 0.013689933344721794, lr = [5e-05] +[2024-05-16 12:36:23,863] - INFO: Epoch 1228/9999, Iter 61360: Loss = 0.013239090330898762, lr = [5e-05] +[2024-05-16 12:36:42,160] - INFO: Epoch 1228/9999, Iter 61380: Loss = 0.012927345000207424, lr = [5e-05] +[2024-05-16 12:37:00,857] - INFO: Epoch 1229/9999, Iter 61400: Loss = 0.009839974343776703, lr = [5e-05] +[2024-05-16 12:37:18,946] - INFO: Epoch 1229/9999, Iter 61420: Loss = 0.016046937555074692, lr = [5e-05] +[2024-05-16 12:37:36,668] - INFO: Epoch 1229/9999, Iter 61440: Loss = 0.01530603226274252, lr = [5e-05] +[2024-05-16 12:37:55,728] - INFO: Epoch 1230/9999, Iter 61460: Loss = 0.015381552278995514, lr = [5e-05] +[2024-05-16 12:38:14,374] - INFO: Epoch 1230/9999, Iter 61480: Loss = 0.01373576931655407, lr = [5e-05] +[2024-05-16 12:38:30,371] - INFO: Evaluate at epoch 1230! +[2024-05-16 12:38:34,020] - INFO: Eval PSNR (max): 37.895 (1225) SSIM (max): 0.9605 (1195) +[2024-05-16 12:38:34,020] - INFO: Eval PSNR (current): 37.875 (1230) SSIM (current): 0.9605 (1230) +[2024-05-16 12:38:34,020] - INFO: Evaluation over. +[2024-05-16 12:38:40,180] - INFO: Epoch 1231/9999, Iter 61500: Loss = 0.0074947671964764595, lr = [5e-05] +[2024-05-16 12:38:58,636] - INFO: Epoch 1231/9999, Iter 61520: Loss = 0.009798727929592133, lr = [5e-05] +[2024-05-16 12:39:16,155] - INFO: Epoch 1231/9999, Iter 61540: Loss = 0.01679227687418461, lr = [5e-05] +[2024-05-16 12:39:34,645] - INFO: Epoch 1232/9999, Iter 61560: Loss = 0.010603194124996662, lr = [5e-05] +[2024-05-16 12:39:52,082] - INFO: Epoch 1232/9999, Iter 61580: Loss = 0.015418801456689835, lr = [5e-05] +[2024-05-16 12:40:11,455] - INFO: Epoch 1233/9999, Iter 61600: Loss = 0.00972244143486023, lr = [5e-05] +[2024-05-16 12:40:29,240] - INFO: Epoch 1233/9999, Iter 61620: Loss = 0.01018973346799612, lr = [5e-05] +[2024-05-16 12:40:46,667] - INFO: Epoch 1233/9999, Iter 61640: Loss = 0.018546126782894135, lr = [5e-05] +[2024-05-16 12:41:05,644] - INFO: Epoch 1234/9999, Iter 61660: Loss = 0.011371101252734661, lr = [5e-05] +[2024-05-16 12:41:23,875] - INFO: Epoch 1234/9999, Iter 61680: Loss = 0.014903157949447632, lr = [5e-05] +[2024-05-16 12:41:42,548] - INFO: Epoch 1235/9999, Iter 61700: Loss = 0.011461623013019562, lr = [5e-05] +[2024-05-16 12:42:00,695] - INFO: Epoch 1235/9999, Iter 61720: Loss = 0.010641748085618019, lr = [5e-05] +[2024-05-16 12:42:18,858] - INFO: Epoch 1235/9999, Iter 61740: Loss = 0.013756584376096725, lr = [5e-05] +[2024-05-16 12:42:26,486] - INFO: Evaluate at epoch 1235! +[2024-05-16 12:42:30,257] - INFO: Eval PSNR (max): 37.895 (1225) SSIM (max): 0.9605 (1195) +[2024-05-16 12:42:30,258] - INFO: Eval PSNR (current): 37.875 (1235) SSIM (current): 0.9605 (1235) +[2024-05-16 12:42:30,258] - INFO: Evaluation over. +[2024-05-16 12:42:44,900] - INFO: Epoch 1236/9999, Iter 61760: Loss = 0.01313781552016735, lr = [5e-05] +[2024-05-16 12:43:02,721] - INFO: Epoch 1236/9999, Iter 61780: Loss = 0.009695112705230713, lr = [5e-05] +[2024-05-16 12:43:21,843] - INFO: Epoch 1237/9999, Iter 61800: Loss = 0.01584651507437229, lr = [5e-05] +[2024-05-16 12:43:39,095] - INFO: Epoch 1237/9999, Iter 61820: Loss = 0.01594815030694008, lr = [5e-05] +[2024-05-16 12:43:56,588] - INFO: Epoch 1237/9999, Iter 61840: Loss = 0.01544352900236845, lr = [5e-05] +[2024-05-16 12:44:15,764] - INFO: Epoch 1238/9999, Iter 61860: Loss = 0.017621861770749092, lr = [5e-05] +[2024-05-16 12:44:34,084] - INFO: Epoch 1238/9999, Iter 61880: Loss = 0.011952762492001057, lr = [5e-05] +[2024-05-16 12:44:54,993] - INFO: Epoch 1239/9999, Iter 61900: Loss = 0.01573062129318714, lr = [5e-05] +[2024-05-16 12:45:12,003] - INFO: Epoch 1239/9999, Iter 61920: Loss = 0.01099782157689333, lr = [5e-05] +[2024-05-16 12:45:29,468] - INFO: Epoch 1239/9999, Iter 61940: Loss = 0.012251859530806541, lr = [5e-05] +[2024-05-16 12:45:49,425] - INFO: Epoch 1240/9999, Iter 61960: Loss = 0.01394057460129261, lr = [5e-05] +[2024-05-16 12:46:07,484] - INFO: Epoch 1240/9999, Iter 61980: Loss = 0.014274992048740387, lr = [5e-05] +[2024-05-16 12:46:23,949] - INFO: Evaluate at epoch 1240! +[2024-05-16 12:46:27,419] - INFO: Eval PSNR (max): 37.895 (1225) SSIM (max): 0.9605 (1195) +[2024-05-16 12:46:27,419] - INFO: Eval PSNR (current): 37.885 (1240) SSIM (current): 0.9605 (1240) +[2024-05-16 12:46:27,419] - INFO: Evaluation over. +[2024-05-16 12:46:33,468] - INFO: Epoch 1241/9999, Iter 62000: Loss = 0.014411295764148235, lr = [5e-05] +[2024-05-16 12:46:50,390] - INFO: Epoch 1241/9999, Iter 62020: Loss = 0.0174093097448349, lr = [5e-05] +[2024-05-16 12:47:08,138] - INFO: Epoch 1241/9999, Iter 62040: Loss = 0.01743556372821331, lr = [5e-05] +[2024-05-16 12:47:27,180] - INFO: Epoch 1242/9999, Iter 62060: Loss = 0.01474811602383852, lr = [5e-05] +[2024-05-16 12:47:45,247] - INFO: Epoch 1242/9999, Iter 62080: Loss = 0.012781559489667416, lr = [5e-05] +[2024-05-16 12:48:04,007] - INFO: Epoch 1243/9999, Iter 62100: Loss = 0.01136828400194645, lr = [5e-05] +[2024-05-16 12:48:21,504] - INFO: Epoch 1243/9999, Iter 62120: Loss = 0.00901789590716362, lr = [5e-05] +[2024-05-16 12:48:38,806] - INFO: Epoch 1243/9999, Iter 62140: Loss = 0.018052075058221817, lr = [5e-05] +[2024-05-16 12:48:58,435] - INFO: Epoch 1244/9999, Iter 62160: Loss = 0.013883115723729134, lr = [5e-05] +[2024-05-16 12:49:16,558] - INFO: Epoch 1244/9999, Iter 62180: Loss = 0.014238759875297546, lr = [5e-05] +[2024-05-16 12:49:36,021] - INFO: Epoch 1245/9999, Iter 62200: Loss = 0.021296508610248566, lr = [5e-05] +[2024-05-16 12:49:53,105] - INFO: Epoch 1245/9999, Iter 62220: Loss = 0.016262125223875046, lr = [5e-05] +[2024-05-16 12:50:10,385] - INFO: Epoch 1245/9999, Iter 62240: Loss = 0.014341162517666817, lr = [5e-05] +[2024-05-16 12:50:18,077] - INFO: Evaluate at epoch 1245! +[2024-05-16 12:50:29,067] - INFO: Eval PSNR (max): 37.898 (1245) SSIM (max): 0.9605 (1245) +[2024-05-16 12:50:29,068] - INFO: Eval PSNR (current): 37.898 (1245) SSIM (current): 0.9605 (1245) +[2024-05-16 12:50:29,068] - INFO: Evaluation over. +[2024-05-16 12:50:43,750] - INFO: Epoch 1246/9999, Iter 62260: Loss = 0.014539483934640884, lr = [5e-05] +[2024-05-16 12:51:00,454] - INFO: Epoch 1246/9999, Iter 62280: Loss = 0.016450831666588783, lr = [5e-05] +[2024-05-16 12:51:19,578] - INFO: Epoch 1247/9999, Iter 62300: Loss = 0.017112620174884796, lr = [5e-05] +[2024-05-16 12:51:37,527] - INFO: Epoch 1247/9999, Iter 62320: Loss = 0.014771770685911179, lr = [5e-05] +[2024-05-16 12:51:55,456] - INFO: Epoch 1247/9999, Iter 62340: Loss = 0.013632319867610931, lr = [5e-05] +[2024-05-16 12:52:14,568] - INFO: Epoch 1248/9999, Iter 62360: Loss = 0.00993550755083561, lr = [5e-05] +[2024-05-16 12:52:32,469] - INFO: Epoch 1248/9999, Iter 62380: Loss = 0.011097939684987068, lr = [5e-05] +[2024-05-16 12:52:51,316] - INFO: Epoch 1249/9999, Iter 62400: Loss = 0.011051413603127003, lr = [5e-05] +[2024-05-16 12:53:09,575] - INFO: Epoch 1249/9999, Iter 62420: Loss = 0.012512396089732647, lr = [5e-05] +[2024-05-16 12:53:27,459] - INFO: Epoch 1249/9999, Iter 62440: Loss = 0.011229031719267368, lr = [5e-05] +[2024-05-16 12:53:46,600] - INFO: Epoch 1250/9999, Iter 62460: Loss = 0.010248363949358463, lr = [5e-05] +[2024-05-16 12:54:04,093] - INFO: Epoch 1250/9999, Iter 62480: Loss = 0.010861366055905819, lr = [5e-05] +[2024-05-16 12:54:20,261] - INFO: Evaluate at epoch 1250! +[2024-05-16 12:54:23,786] - INFO: Eval PSNR (max): 37.898 (1245) SSIM (max): 0.9605 (1245) +[2024-05-16 12:54:23,787] - INFO: Eval PSNR (current): 37.879 (1250) SSIM (current): 0.9604 (1250) +[2024-05-16 12:54:23,787] - INFO: Evaluation over. +[2024-05-16 12:54:29,712] - INFO: Epoch 1251/9999, Iter 62500: Loss = 0.008019148372113705, lr = [5e-05] +[2024-05-16 12:54:47,908] - INFO: Epoch 1251/9999, Iter 62520: Loss = 0.015336312353610992, lr = [5e-05] +[2024-05-16 12:55:05,560] - INFO: Epoch 1251/9999, Iter 62540: Loss = 0.01355395931750536, lr = [5e-05] +[2024-05-16 12:55:24,622] - INFO: Epoch 1252/9999, Iter 62560: Loss = 0.01383565180003643, lr = [5e-05] +[2024-05-16 12:55:42,067] - INFO: Epoch 1252/9999, Iter 62580: Loss = 0.016045406460762024, lr = [5e-05] +[2024-05-16 12:56:00,664] - INFO: Epoch 1253/9999, Iter 62600: Loss = 0.012423376552760601, lr = [5e-05] +[2024-05-16 12:56:18,264] - INFO: Epoch 1253/9999, Iter 62620: Loss = 0.011873719282448292, lr = [5e-05] +[2024-05-16 12:56:36,326] - INFO: Epoch 1253/9999, Iter 62640: Loss = 0.019103555008769035, lr = [5e-05] +[2024-05-16 12:56:54,982] - INFO: Epoch 1254/9999, Iter 62660: Loss = 0.016408253461122513, lr = [5e-05] +[2024-05-16 12:57:12,556] - INFO: Epoch 1254/9999, Iter 62680: Loss = 0.010430095717310905, lr = [5e-05] +[2024-05-16 12:57:31,284] - INFO: Epoch 1255/9999, Iter 62700: Loss = 0.008133972063660622, lr = [5e-05] +[2024-05-16 12:57:48,636] - INFO: Epoch 1255/9999, Iter 62720: Loss = 0.016170036047697067, lr = [5e-05] +[2024-05-16 12:58:06,364] - INFO: Epoch 1255/9999, Iter 62740: Loss = 0.01641864702105522, lr = [5e-05] +[2024-05-16 12:58:14,313] - INFO: Evaluate at epoch 1255! +[2024-05-16 12:58:21,600] - INFO: Eval PSNR (max): 37.906 (1255) SSIM (max): 0.9605 (1245) +[2024-05-16 12:58:21,601] - INFO: Eval PSNR (current): 37.906 (1255) SSIM (current): 0.9604 (1255) +[2024-05-16 12:58:21,601] - INFO: Evaluation over. +[2024-05-16 12:58:36,524] - INFO: Epoch 1256/9999, Iter 62760: Loss = 0.011549191549420357, lr = [5e-05] +[2024-05-16 12:58:55,133] - INFO: Epoch 1256/9999, Iter 62780: Loss = 0.020040247589349747, lr = [5e-05] +[2024-05-16 12:59:13,880] - INFO: Epoch 1257/9999, Iter 62800: Loss = 0.012959830462932587, lr = [5e-05] +[2024-05-16 12:59:31,423] - INFO: Epoch 1257/9999, Iter 62820: Loss = 0.013016457669436932, lr = [5e-05] +[2024-05-16 12:59:49,184] - INFO: Epoch 1257/9999, Iter 62840: Loss = 0.014450810849666595, lr = [5e-05] +[2024-05-16 13:00:08,703] - INFO: Epoch 1258/9999, Iter 62860: Loss = 0.015413586050271988, lr = [5e-05] +[2024-05-16 13:00:26,144] - INFO: Epoch 1258/9999, Iter 62880: Loss = 0.00997136253863573, lr = [5e-05] +[2024-05-16 13:00:45,503] - INFO: Epoch 1259/9999, Iter 62900: Loss = 0.01169308926910162, lr = [5e-05] +[2024-05-16 13:01:03,682] - INFO: Epoch 1259/9999, Iter 62920: Loss = 0.01244980189949274, lr = [5e-05] +[2024-05-16 13:01:21,448] - INFO: Epoch 1259/9999, Iter 62940: Loss = 0.011782537214457989, lr = [5e-05] +[2024-05-16 13:01:39,718] - INFO: Epoch 1260/9999, Iter 62960: Loss = 0.010592878796160221, lr = [5e-05] +[2024-05-16 13:01:56,940] - INFO: Epoch 1260/9999, Iter 62980: Loss = 0.013076859526336193, lr = [5e-05] +[2024-05-16 13:02:13,173] - INFO: Evaluate at epoch 1260! +[2024-05-16 13:02:16,745] - INFO: Eval PSNR (max): 37.906 (1255) SSIM (max): 0.9605 (1245) +[2024-05-16 13:02:16,745] - INFO: Eval PSNR (current): 37.886 (1260) SSIM (current): 0.9605 (1260) +[2024-05-16 13:02:16,746] - INFO: Evaluation over. +[2024-05-16 13:02:22,877] - INFO: Epoch 1261/9999, Iter 63000: Loss = 0.02089674398303032, lr = [5e-05] +[2024-05-16 13:02:40,848] - INFO: Epoch 1261/9999, Iter 63020: Loss = 0.010480434633791447, lr = [5e-05] +[2024-05-16 13:02:58,369] - INFO: Epoch 1261/9999, Iter 63040: Loss = 0.01095557026565075, lr = [5e-05] +[2024-05-16 13:03:17,057] - INFO: Epoch 1262/9999, Iter 63060: Loss = 0.01300586573779583, lr = [5e-05] +[2024-05-16 13:03:35,652] - INFO: Epoch 1262/9999, Iter 63080: Loss = 0.014499295502901077, lr = [5e-05] +[2024-05-16 13:03:54,356] - INFO: Epoch 1263/9999, Iter 63100: Loss = 0.012591497041285038, lr = [5e-05] +[2024-05-16 13:04:12,664] - INFO: Epoch 1263/9999, Iter 63120: Loss = 0.007546913810074329, lr = [5e-05] +[2024-05-16 13:04:30,968] - INFO: Epoch 1263/9999, Iter 63140: Loss = 0.01162839587777853, lr = [5e-05] +[2024-05-16 13:04:50,360] - INFO: Epoch 1264/9999, Iter 63160: Loss = 0.010529743507504463, lr = [5e-05] +[2024-05-16 13:05:07,937] - INFO: Epoch 1264/9999, Iter 63180: Loss = 0.010703698731958866, lr = [5e-05] +[2024-05-16 13:05:26,606] - INFO: Epoch 1265/9999, Iter 63200: Loss = 0.01169784739613533, lr = [5e-05] +[2024-05-16 13:05:44,379] - INFO: Epoch 1265/9999, Iter 63220: Loss = 0.009670151397585869, lr = [5e-05] +[2024-05-16 13:06:03,035] - INFO: Epoch 1265/9999, Iter 63240: Loss = 0.011273764073848724, lr = [5e-05] +[2024-05-16 13:06:10,250] - INFO: Evaluate at epoch 1265! +[2024-05-16 13:06:13,926] - INFO: Eval PSNR (max): 37.906 (1255) SSIM (max): 0.9605 (1245) +[2024-05-16 13:06:13,926] - INFO: Eval PSNR (current): 37.837 (1265) SSIM (current): 0.9603 (1265) +[2024-05-16 13:06:13,926] - INFO: Evaluation over. +[2024-05-16 13:06:28,516] - INFO: Epoch 1266/9999, Iter 63260: Loss = 0.009148996323347092, lr = [5e-05] +[2024-05-16 13:06:45,822] - INFO: Epoch 1266/9999, Iter 63280: Loss = 0.012784813530743122, lr = [5e-05] +[2024-05-16 13:07:04,728] - INFO: Epoch 1267/9999, Iter 63300: Loss = 0.014117006212472916, lr = [5e-05] +[2024-05-16 13:07:22,313] - INFO: Epoch 1267/9999, Iter 63320: Loss = 0.01509322039783001, lr = [5e-05] +[2024-05-16 13:07:39,823] - INFO: Epoch 1267/9999, Iter 63340: Loss = 0.018175365403294563, lr = [5e-05] +[2024-05-16 13:07:59,095] - INFO: Epoch 1268/9999, Iter 63360: Loss = 0.009529476054012775, lr = [5e-05] +[2024-05-16 13:08:17,513] - INFO: Epoch 1268/9999, Iter 63380: Loss = 0.01729987934231758, lr = [5e-05] +[2024-05-16 13:08:36,181] - INFO: Epoch 1269/9999, Iter 63400: Loss = 0.017149580642580986, lr = [5e-05] +[2024-05-16 13:08:53,716] - INFO: Epoch 1269/9999, Iter 63420: Loss = 0.0129270413890481, lr = [5e-05] +[2024-05-16 13:09:12,200] - INFO: Epoch 1269/9999, Iter 63440: Loss = 0.016038862988352776, lr = [5e-05] +[2024-05-16 13:09:31,282] - INFO: Epoch 1270/9999, Iter 63460: Loss = 0.014788482338190079, lr = [5e-05] +[2024-05-16 13:09:49,522] - INFO: Epoch 1270/9999, Iter 63480: Loss = 0.013564628548920155, lr = [5e-05] +[2024-05-16 13:10:05,518] - INFO: Evaluate at epoch 1270! +[2024-05-16 13:10:09,047] - INFO: Eval PSNR (max): 37.906 (1255) SSIM (max): 0.9605 (1245) +[2024-05-16 13:10:09,047] - INFO: Eval PSNR (current): 37.867 (1270) SSIM (current): 0.9603 (1270) +[2024-05-16 13:10:09,047] - INFO: Evaluation over. +[2024-05-16 13:10:15,159] - INFO: Epoch 1271/9999, Iter 63500: Loss = 0.013190395198762417, lr = [5e-05] +[2024-05-16 13:10:32,015] - INFO: Epoch 1271/9999, Iter 63520: Loss = 0.008772695437073708, lr = [5e-05] +[2024-05-16 13:10:50,075] - INFO: Epoch 1271/9999, Iter 63540: Loss = 0.01832542195916176, lr = [5e-05] +[2024-05-16 13:11:09,559] - INFO: Epoch 1272/9999, Iter 63560: Loss = 0.010644113644957542, lr = [5e-05] +[2024-05-16 13:11:27,048] - INFO: Epoch 1272/9999, Iter 63580: Loss = 0.01135480310767889, lr = [5e-05] +[2024-05-16 13:11:45,837] - INFO: Epoch 1273/9999, Iter 63600: Loss = 0.017978636547923088, lr = [5e-05] +[2024-05-16 13:12:02,639] - INFO: Epoch 1273/9999, Iter 63620: Loss = 0.011217660270631313, lr = [5e-05] +[2024-05-16 13:12:20,252] - INFO: Epoch 1273/9999, Iter 63640: Loss = 0.013381783850491047, lr = [5e-05] +[2024-05-16 13:12:39,023] - INFO: Epoch 1274/9999, Iter 63660: Loss = 0.010062270797789097, lr = [5e-05] +[2024-05-16 13:12:56,606] - INFO: Epoch 1274/9999, Iter 63680: Loss = 0.014272342436015606, lr = [5e-05] +[2024-05-16 13:13:15,345] - INFO: Epoch 1275/9999, Iter 63700: Loss = 0.012576673179864883, lr = [5e-05] +[2024-05-16 13:13:33,128] - INFO: Epoch 1275/9999, Iter 63720: Loss = 0.01192732434719801, lr = [5e-05] +[2024-05-16 13:13:51,526] - INFO: Epoch 1275/9999, Iter 63740: Loss = 0.011850734241306782, lr = [5e-05] +[2024-05-16 13:13:59,304] - INFO: Evaluate at epoch 1275! +[2024-05-16 13:14:02,859] - INFO: Eval PSNR (max): 37.906 (1255) SSIM (max): 0.9605 (1245) +[2024-05-16 13:14:02,860] - INFO: Eval PSNR (current): 37.851 (1275) SSIM (current): 0.9602 (1275) +[2024-05-16 13:14:02,860] - INFO: Evaluation over. +[2024-05-16 13:14:17,704] - INFO: Epoch 1276/9999, Iter 63760: Loss = 0.007691278588026762, lr = [5e-05] +[2024-05-16 13:14:34,673] - INFO: Epoch 1276/9999, Iter 63780: Loss = 0.011552399024367332, lr = [5e-05] +[2024-05-16 13:14:53,576] - INFO: Epoch 1277/9999, Iter 63800: Loss = 0.015124211087822914, lr = [5e-05] +[2024-05-16 13:15:11,812] - INFO: Epoch 1277/9999, Iter 63820: Loss = 0.01353940088301897, lr = [5e-05] +[2024-05-16 13:15:29,352] - INFO: Epoch 1277/9999, Iter 63840: Loss = 0.013898332603275776, lr = [5e-05] +[2024-05-16 13:15:48,409] - INFO: Epoch 1278/9999, Iter 63860: Loss = 0.02020902931690216, lr = [5e-05] +[2024-05-16 13:16:06,329] - INFO: Epoch 1278/9999, Iter 63880: Loss = 0.014996814541518688, lr = [5e-05] +[2024-05-16 13:16:25,308] - INFO: Epoch 1279/9999, Iter 63900: Loss = 0.011750823818147182, lr = [5e-05] +[2024-05-16 13:16:42,329] - INFO: Epoch 1279/9999, Iter 63920: Loss = 0.018169207498431206, lr = [5e-05] +[2024-05-16 13:16:59,492] - INFO: Epoch 1279/9999, Iter 63940: Loss = 0.01804507151246071, lr = [5e-05] +[2024-05-16 13:17:18,983] - INFO: Epoch 1280/9999, Iter 63960: Loss = 0.01911040022969246, lr = [5e-05] +[2024-05-16 13:17:36,870] - INFO: Epoch 1280/9999, Iter 63980: Loss = 0.011072591878473759, lr = [5e-05] +[2024-05-16 13:17:53,683] - INFO: Evaluate at epoch 1280! +[2024-05-16 13:17:57,261] - INFO: Eval PSNR (max): 37.906 (1255) SSIM (max): 0.9605 (1245) +[2024-05-16 13:17:57,261] - INFO: Eval PSNR (current): 37.886 (1280) SSIM (current): 0.9605 (1280) +[2024-05-16 13:17:57,261] - INFO: Evaluation over. +[2024-05-16 13:18:03,428] - INFO: Epoch 1281/9999, Iter 64000: Loss = 0.01693134382367134, lr = [5e-05] +[2024-05-16 13:18:20,901] - INFO: Epoch 1281/9999, Iter 64020: Loss = 0.011882412247359753, lr = [5e-05] +[2024-05-16 13:18:38,172] - INFO: Epoch 1281/9999, Iter 64040: Loss = 0.01464991457760334, lr = [5e-05] +[2024-05-16 13:18:57,444] - INFO: Epoch 1282/9999, Iter 64060: Loss = 0.00868215411901474, lr = [5e-05] +[2024-05-16 13:19:16,468] - INFO: Epoch 1282/9999, Iter 64080: Loss = 0.015247573144733906, lr = [5e-05] +[2024-05-16 13:19:34,908] - INFO: Epoch 1283/9999, Iter 64100: Loss = 0.014445398934185505, lr = [5e-05] +[2024-05-16 13:19:51,813] - INFO: Epoch 1283/9999, Iter 64120: Loss = 0.013220654800534248, lr = [5e-05] +[2024-05-16 13:20:09,636] - INFO: Epoch 1283/9999, Iter 64140: Loss = 0.013123534619808197, lr = [5e-05] +[2024-05-16 13:20:28,754] - INFO: Epoch 1284/9999, Iter 64160: Loss = 0.011899961158633232, lr = [5e-05] +[2024-05-16 13:20:46,820] - INFO: Epoch 1284/9999, Iter 64180: Loss = 0.014489163644611835, lr = [5e-05] +[2024-05-16 13:21:05,873] - INFO: Epoch 1285/9999, Iter 64200: Loss = 0.014665029011666775, lr = [5e-05] +[2024-05-16 13:21:24,052] - INFO: Epoch 1285/9999, Iter 64220: Loss = 0.014344288036227226, lr = [5e-05] +[2024-05-16 13:21:41,764] - INFO: Epoch 1285/9999, Iter 64240: Loss = 0.012979291379451752, lr = [5e-05] +[2024-05-16 13:21:49,415] - INFO: Evaluate at epoch 1285! +[2024-05-16 13:21:52,932] - INFO: Eval PSNR (max): 37.906 (1255) SSIM (max): 0.9605 (1245) +[2024-05-16 13:21:52,933] - INFO: Eval PSNR (current): 37.830 (1285) SSIM (current): 0.9603 (1285) +[2024-05-16 13:21:52,933] - INFO: Evaluation over. +[2024-05-16 13:22:07,896] - INFO: Epoch 1286/9999, Iter 64260: Loss = 0.010256909765303135, lr = [5e-05] +[2024-05-16 13:22:25,419] - INFO: Epoch 1286/9999, Iter 64280: Loss = 0.012340591289103031, lr = [5e-05] +[2024-05-16 13:22:44,379] - INFO: Epoch 1287/9999, Iter 64300: Loss = 0.01429050974547863, lr = [5e-05] +[2024-05-16 13:23:02,660] - INFO: Epoch 1287/9999, Iter 64320: Loss = 0.013895118609070778, lr = [5e-05] +[2024-05-16 13:23:20,738] - INFO: Epoch 1287/9999, Iter 64340: Loss = 0.012493005953729153, lr = [5e-05] +[2024-05-16 13:23:39,423] - INFO: Epoch 1288/9999, Iter 64360: Loss = 0.015175936743617058, lr = [5e-05] +[2024-05-16 13:23:56,324] - INFO: Epoch 1288/9999, Iter 64380: Loss = 0.01149801630526781, lr = [5e-05] +[2024-05-16 13:24:15,915] - INFO: Epoch 1289/9999, Iter 64400: Loss = 0.012093097902834415, lr = [5e-05] +[2024-05-16 13:24:33,712] - INFO: Epoch 1289/9999, Iter 64420: Loss = 0.012697810307145119, lr = [5e-05] +[2024-05-16 13:24:51,950] - INFO: Epoch 1289/9999, Iter 64440: Loss = 0.012714342214167118, lr = [5e-05] +[2024-05-16 13:25:11,036] - INFO: Epoch 1290/9999, Iter 64460: Loss = 0.014862297102808952, lr = [5e-05] +[2024-05-16 13:25:29,048] - INFO: Epoch 1290/9999, Iter 64480: Loss = 0.013196219690144062, lr = [5e-05] +[2024-05-16 13:25:45,326] - INFO: Evaluate at epoch 1290! +[2024-05-16 13:25:48,790] - INFO: Eval PSNR (max): 37.906 (1255) SSIM (max): 0.9605 (1245) +[2024-05-16 13:25:48,790] - INFO: Eval PSNR (current): 37.880 (1290) SSIM (current): 0.9604 (1290) +[2024-05-16 13:25:48,790] - INFO: Evaluation over. +[2024-05-16 13:25:54,930] - INFO: Epoch 1291/9999, Iter 64500: Loss = 0.007926182821393013, lr = [5e-05] +[2024-05-16 13:26:12,818] - INFO: Epoch 1291/9999, Iter 64520: Loss = 0.010565287433564663, lr = [5e-05] +[2024-05-16 13:26:30,824] - INFO: Epoch 1291/9999, Iter 64540: Loss = 0.012933404184877872, lr = [5e-05] +[2024-05-16 13:26:50,124] - INFO: Epoch 1292/9999, Iter 64560: Loss = 0.009090661071240902, lr = [5e-05] +[2024-05-16 13:27:08,077] - INFO: Epoch 1292/9999, Iter 64580: Loss = 0.009389334358274937, lr = [5e-05] +[2024-05-16 13:27:26,912] - INFO: Epoch 1293/9999, Iter 64600: Loss = 0.014983830973505974, lr = [5e-05] +[2024-05-16 13:27:43,966] - INFO: Epoch 1293/9999, Iter 64620: Loss = 0.008198288269340992, lr = [5e-05] +[2024-05-16 13:28:01,574] - INFO: Epoch 1293/9999, Iter 64640: Loss = 0.01453487854450941, lr = [5e-05] +[2024-05-16 13:28:21,609] - INFO: Epoch 1294/9999, Iter 64660: Loss = 0.010631624609231949, lr = [5e-05] +[2024-05-16 13:28:39,352] - INFO: Epoch 1294/9999, Iter 64680: Loss = 0.014461751095950603, lr = [5e-05] +[2024-05-16 13:28:58,484] - INFO: Epoch 1295/9999, Iter 64700: Loss = 0.012276309542357922, lr = [5e-05] +[2024-05-16 13:29:16,124] - INFO: Epoch 1295/9999, Iter 64720: Loss = 0.016693294048309326, lr = [5e-05] +[2024-05-16 13:29:34,728] - INFO: Epoch 1295/9999, Iter 64740: Loss = 0.012626560404896736, lr = [5e-05] +[2024-05-16 13:29:42,369] - INFO: Evaluate at epoch 1295! +[2024-05-16 13:29:45,951] - INFO: Eval PSNR (max): 37.906 (1255) SSIM (max): 0.9605 (1245) +[2024-05-16 13:29:45,951] - INFO: Eval PSNR (current): 37.842 (1295) SSIM (current): 0.9603 (1295) +[2024-05-16 13:29:45,951] - INFO: Evaluation over. +[2024-05-16 13:30:00,664] - INFO: Epoch 1296/9999, Iter 64760: Loss = 0.015571480616927147, lr = [5e-05] +[2024-05-16 13:30:17,933] - INFO: Epoch 1296/9999, Iter 64780: Loss = 0.0108406413346529, lr = [5e-05] +[2024-05-16 13:30:36,787] - INFO: Epoch 1297/9999, Iter 64800: Loss = 0.011827988550066948, lr = [5e-05] +[2024-05-16 13:30:54,881] - INFO: Epoch 1297/9999, Iter 64820: Loss = 0.012395840138196945, lr = [5e-05] +[2024-05-16 13:31:12,636] - INFO: Epoch 1297/9999, Iter 64840: Loss = 0.017811503261327744, lr = [5e-05] +[2024-05-16 13:31:32,078] - INFO: Epoch 1298/9999, Iter 64860: Loss = 0.01607345975935459, lr = [5e-05] +[2024-05-16 13:31:49,778] - INFO: Epoch 1298/9999, Iter 64880: Loss = 0.01611044630408287, lr = [5e-05] +[2024-05-16 13:32:08,890] - INFO: Epoch 1299/9999, Iter 64900: Loss = 0.016731681302189827, lr = [5e-05] +[2024-05-16 13:32:26,669] - INFO: Epoch 1299/9999, Iter 64920: Loss = 0.011830036528408527, lr = [5e-05] +[2024-05-16 13:32:44,202] - INFO: Epoch 1299/9999, Iter 64940: Loss = 0.012256909161806107, lr = [5e-05] +[2024-05-16 13:33:04,020] - INFO: Epoch 1300/9999, Iter 64960: Loss = 0.01179489679634571, lr = [5e-05] +[2024-05-16 13:33:21,309] - INFO: Epoch 1300/9999, Iter 64980: Loss = 0.018065812066197395, lr = [5e-05] +[2024-05-16 13:33:38,079] - INFO: Evaluate at epoch 1300! +[2024-05-16 13:33:41,853] - INFO: Eval PSNR (max): 37.906 (1255) SSIM (max): 0.9605 (1245) +[2024-05-16 13:33:41,853] - INFO: Eval PSNR (current): 37.784 (1300) SSIM (current): 0.9603 (1300) +[2024-05-16 13:33:41,853] - INFO: Evaluation over. +[2024-05-16 13:33:47,778] - INFO: Epoch 1301/9999, Iter 65000: Loss = 0.013444192707538605, lr = [5e-05] +[2024-05-16 13:34:05,029] - INFO: Epoch 1301/9999, Iter 65020: Loss = 0.009837131015956402, lr = [5e-05] +[2024-05-16 13:34:21,961] - INFO: Epoch 1301/9999, Iter 65040: Loss = 0.013923040591180325, lr = [5e-05] +[2024-05-16 13:34:41,288] - INFO: Epoch 1302/9999, Iter 65060: Loss = 0.018386419862508774, lr = [5e-05] +[2024-05-16 13:34:58,301] - INFO: Epoch 1302/9999, Iter 65080: Loss = 0.013408803381025791, lr = [5e-05] +[2024-05-16 13:35:17,240] - INFO: Epoch 1303/9999, Iter 65100: Loss = 0.016608424484729767, lr = [5e-05] +[2024-05-16 13:35:35,704] - INFO: Epoch 1303/9999, Iter 65120: Loss = 0.011302811093628407, lr = [5e-05] +[2024-05-16 13:35:53,430] - INFO: Epoch 1303/9999, Iter 65140: Loss = 0.017367063090205193, lr = [5e-05] +[2024-05-16 13:36:12,405] - INFO: Epoch 1304/9999, Iter 65160: Loss = 0.01549124252051115, lr = [5e-05] +[2024-05-16 13:36:30,783] - INFO: Epoch 1304/9999, Iter 65180: Loss = 0.014138833619654179, lr = [5e-05] +[2024-05-16 13:36:49,517] - INFO: Epoch 1305/9999, Iter 65200: Loss = 0.0189508069306612, lr = [5e-05] +[2024-05-16 13:37:06,465] - INFO: Epoch 1305/9999, Iter 65220: Loss = 0.013150651007890701, lr = [5e-05] +[2024-05-16 13:37:24,101] - INFO: Epoch 1305/9999, Iter 65240: Loss = 0.011618693359196186, lr = [5e-05] +[2024-05-16 13:37:32,189] - INFO: Evaluate at epoch 1305! +[2024-05-16 13:37:35,860] - INFO: Eval PSNR (max): 37.906 (1255) SSIM (max): 0.9605 (1245) +[2024-05-16 13:37:35,861] - INFO: Eval PSNR (current): 37.863 (1305) SSIM (current): 0.9604 (1305) +[2024-05-16 13:37:35,861] - INFO: Evaluation over. +[2024-05-16 13:37:51,039] - INFO: Epoch 1306/9999, Iter 65260: Loss = 0.01909484900534153, lr = [5e-05] +[2024-05-16 13:38:09,201] - INFO: Epoch 1306/9999, Iter 65280: Loss = 0.01477605476975441, lr = [5e-05] +[2024-05-16 13:38:28,256] - INFO: Epoch 1307/9999, Iter 65300: Loss = 0.016261709854006767, lr = [5e-05] +[2024-05-16 13:38:45,558] - INFO: Epoch 1307/9999, Iter 65320: Loss = 0.018130244687199593, lr = [5e-05] +[2024-05-16 13:39:03,176] - INFO: Epoch 1307/9999, Iter 65340: Loss = 0.020425423979759216, lr = [5e-05] +[2024-05-16 13:39:22,167] - INFO: Epoch 1308/9999, Iter 65360: Loss = 0.009567607194185257, lr = [5e-05] +[2024-05-16 13:39:40,072] - INFO: Epoch 1308/9999, Iter 65380: Loss = 0.012494546361267567, lr = [5e-05] +[2024-05-16 13:39:59,167] - INFO: Epoch 1309/9999, Iter 65400: Loss = 0.015480578877031803, lr = [5e-05] +[2024-05-16 13:40:16,751] - INFO: Epoch 1309/9999, Iter 65420: Loss = 0.008001498878002167, lr = [5e-05] +[2024-05-16 13:40:33,904] - INFO: Epoch 1309/9999, Iter 65440: Loss = 0.014453781768679619, lr = [5e-05] +[2024-05-16 13:40:52,740] - INFO: Epoch 1310/9999, Iter 65460: Loss = 0.009285174310207367, lr = [5e-05] +[2024-05-16 13:41:10,497] - INFO: Epoch 1310/9999, Iter 65480: Loss = 0.015655282884836197, lr = [5e-05] +[2024-05-16 13:41:27,289] - INFO: Evaluate at epoch 1310! +[2024-05-16 13:41:31,041] - INFO: Eval PSNR (max): 37.906 (1255) SSIM (max): 0.9605 (1245) +[2024-05-16 13:41:31,041] - INFO: Eval PSNR (current): 37.861 (1310) SSIM (current): 0.9604 (1310) +[2024-05-16 13:41:31,041] - INFO: Evaluation over. +[2024-05-16 13:41:37,065] - INFO: Epoch 1311/9999, Iter 65500: Loss = 0.012725751847028732, lr = [5e-05] +[2024-05-16 13:41:54,573] - INFO: Epoch 1311/9999, Iter 65520: Loss = 0.012829388491809368, lr = [5e-05] +[2024-05-16 13:42:11,728] - INFO: Epoch 1311/9999, Iter 65540: Loss = 0.006614851765334606, lr = [5e-05] +[2024-05-16 13:42:30,792] - INFO: Epoch 1312/9999, Iter 65560: Loss = 0.011859597638249397, lr = [5e-05] +[2024-05-16 13:42:49,298] - INFO: Epoch 1312/9999, Iter 65580: Loss = 0.013743394054472446, lr = [5e-05] +[2024-05-16 13:43:08,140] - INFO: Epoch 1313/9999, Iter 65600: Loss = 0.008153141476213932, lr = [5e-05] +[2024-05-16 13:43:25,644] - INFO: Epoch 1313/9999, Iter 65620: Loss = 0.009370755404233932, lr = [5e-05] +[2024-05-16 13:43:42,952] - INFO: Epoch 1313/9999, Iter 65640: Loss = 0.01080265175551176, lr = [5e-05] +[2024-05-16 13:44:02,099] - INFO: Epoch 1314/9999, Iter 65660: Loss = 0.013438219204545021, lr = [5e-05] +[2024-05-16 13:44:19,424] - INFO: Epoch 1314/9999, Iter 65680: Loss = 0.008201033808290958, lr = [5e-05] +[2024-05-16 13:44:38,480] - INFO: Epoch 1315/9999, Iter 65700: Loss = 0.012059337459504604, lr = [5e-05] +[2024-05-16 13:44:56,496] - INFO: Epoch 1315/9999, Iter 65720: Loss = 0.014302783645689487, lr = [5e-05] +[2024-05-16 13:45:14,139] - INFO: Epoch 1315/9999, Iter 65740: Loss = 0.010623585432767868, lr = [5e-05] +[2024-05-16 13:45:21,602] - INFO: Evaluate at epoch 1315! +[2024-05-16 13:45:25,264] - INFO: Eval PSNR (max): 37.906 (1255) SSIM (max): 0.9605 (1245) +[2024-05-16 13:45:25,264] - INFO: Eval PSNR (current): 37.878 (1315) SSIM (current): 0.9605 (1315) +[2024-05-16 13:45:25,264] - INFO: Evaluation over. +[2024-05-16 13:45:40,748] - INFO: Epoch 1316/9999, Iter 65760: Loss = 0.011396288871765137, lr = [5e-05] +[2024-05-16 13:45:58,967] - INFO: Epoch 1316/9999, Iter 65780: Loss = 0.01193572860211134, lr = [5e-05] +[2024-05-16 13:46:18,446] - INFO: Epoch 1317/9999, Iter 65800: Loss = 0.016920803114771843, lr = [5e-05] +[2024-05-16 13:46:36,504] - INFO: Epoch 1317/9999, Iter 65820: Loss = 0.014302772469818592, lr = [5e-05] +[2024-05-16 13:46:54,301] - INFO: Epoch 1317/9999, Iter 65840: Loss = 0.018414296209812164, lr = [5e-05] +[2024-05-16 13:47:13,044] - INFO: Epoch 1318/9999, Iter 65860: Loss = 0.01458214595913887, lr = [5e-05] +[2024-05-16 13:47:30,636] - INFO: Epoch 1318/9999, Iter 65880: Loss = 0.012665171176195145, lr = [5e-05] +[2024-05-16 13:47:49,260] - INFO: Epoch 1319/9999, Iter 65900: Loss = 0.0224061980843544, lr = [5e-05] +[2024-05-16 13:48:06,798] - INFO: Epoch 1319/9999, Iter 65920: Loss = 0.012653905898332596, lr = [5e-05] +[2024-05-16 13:48:25,096] - INFO: Epoch 1319/9999, Iter 65940: Loss = 0.01669839583337307, lr = [5e-05] +[2024-05-16 13:48:44,140] - INFO: Epoch 1320/9999, Iter 65960: Loss = 0.009478225372731686, lr = [5e-05] +[2024-05-16 13:49:02,421] - INFO: Epoch 1320/9999, Iter 65980: Loss = 0.009688382036983967, lr = [5e-05] +[2024-05-16 13:49:19,104] - INFO: Evaluate at epoch 1320! +[2024-05-16 13:49:22,590] - INFO: Eval PSNR (max): 37.906 (1255) SSIM (max): 0.9605 (1245) +[2024-05-16 13:49:22,590] - INFO: Eval PSNR (current): 37.863 (1320) SSIM (current): 0.9604 (1320) +[2024-05-16 13:49:22,590] - INFO: Evaluation over. +[2024-05-16 13:49:28,791] - INFO: Epoch 1321/9999, Iter 66000: Loss = 0.010114157572388649, lr = [5e-05] +[2024-05-16 13:49:46,297] - INFO: Epoch 1321/9999, Iter 66020: Loss = 0.013204808346927166, lr = [5e-05] +[2024-05-16 13:50:03,911] - INFO: Epoch 1321/9999, Iter 66040: Loss = 0.015040605328977108, lr = [5e-05] +[2024-05-16 13:50:22,685] - INFO: Epoch 1322/9999, Iter 66060: Loss = 0.011318814009428024, lr = [5e-05] +[2024-05-16 13:50:40,868] - INFO: Epoch 1322/9999, Iter 66080: Loss = 0.01390573289245367, lr = [5e-05] +[2024-05-16 13:50:59,689] - INFO: Epoch 1323/9999, Iter 66100: Loss = 0.010018182918429375, lr = [5e-05] +[2024-05-16 13:51:17,416] - INFO: Epoch 1323/9999, Iter 66120: Loss = 0.012878188863396645, lr = [5e-05] +[2024-05-16 13:51:35,176] - INFO: Epoch 1323/9999, Iter 66140: Loss = 0.011593015864491463, lr = [5e-05] +[2024-05-16 13:51:54,920] - INFO: Epoch 1324/9999, Iter 66160: Loss = 0.010107994079589844, lr = [5e-05] +[2024-05-16 13:52:12,232] - INFO: Epoch 1324/9999, Iter 66180: Loss = 0.01051201019436121, lr = [5e-05] +[2024-05-16 13:52:30,883] - INFO: Epoch 1325/9999, Iter 66200: Loss = 0.012761087156832218, lr = [5e-05] +[2024-05-16 13:52:47,388] - INFO: Epoch 1325/9999, Iter 66220: Loss = 0.015099744312465191, lr = [5e-05] +[2024-05-16 13:53:05,004] - INFO: Epoch 1325/9999, Iter 66240: Loss = 0.019492002204060555, lr = [5e-05] +[2024-05-16 13:53:12,693] - INFO: Evaluate at epoch 1325! +[2024-05-16 13:53:16,158] - INFO: Eval PSNR (max): 37.906 (1255) SSIM (max): 0.9605 (1245) +[2024-05-16 13:53:16,159] - INFO: Eval PSNR (current): 37.869 (1325) SSIM (current): 0.9604 (1325) +[2024-05-16 13:53:16,159] - INFO: Evaluation over. +[2024-05-16 13:53:31,025] - INFO: Epoch 1326/9999, Iter 66260: Loss = 0.014651738107204437, lr = [5e-05] +[2024-05-16 13:53:48,933] - INFO: Epoch 1326/9999, Iter 66280: Loss = 0.009078199043869972, lr = [5e-05] +[2024-05-16 13:54:07,842] - INFO: Epoch 1327/9999, Iter 66300: Loss = 0.013317753560841084, lr = [5e-05] +[2024-05-16 13:54:26,111] - INFO: Epoch 1327/9999, Iter 66320: Loss = 0.01585032045841217, lr = [5e-05] +[2024-05-16 13:54:44,359] - INFO: Epoch 1327/9999, Iter 66340: Loss = 0.015470822341740131, lr = [5e-05] +[2024-05-16 13:55:03,668] - INFO: Epoch 1328/9999, Iter 66360: Loss = 0.013777819462120533, lr = [5e-05] +[2024-05-16 13:55:21,496] - INFO: Epoch 1328/9999, Iter 66380: Loss = 0.009891957975924015, lr = [5e-05] +[2024-05-16 13:55:40,796] - INFO: Epoch 1329/9999, Iter 66400: Loss = 0.015070699155330658, lr = [5e-05] +[2024-05-16 13:55:57,885] - INFO: Epoch 1329/9999, Iter 66420: Loss = 0.00780975166708231, lr = [5e-05] +[2024-05-16 13:56:15,401] - INFO: Epoch 1329/9999, Iter 66440: Loss = 0.014423809945583344, lr = [5e-05] +[2024-05-16 13:56:34,716] - INFO: Epoch 1330/9999, Iter 66460: Loss = 0.013969654217362404, lr = [5e-05] +[2024-05-16 13:56:52,892] - INFO: Epoch 1330/9999, Iter 66480: Loss = 0.009147915989160538, lr = [5e-05] +[2024-05-16 13:57:09,746] - INFO: Evaluate at epoch 1330! +[2024-05-16 13:57:13,228] - INFO: Eval PSNR (max): 37.906 (1255) SSIM (max): 0.9605 (1245) +[2024-05-16 13:57:13,228] - INFO: Eval PSNR (current): 37.859 (1330) SSIM (current): 0.9603 (1330) +[2024-05-16 13:57:13,228] - INFO: Evaluation over. +[2024-05-16 13:57:19,264] - INFO: Epoch 1331/9999, Iter 66500: Loss = 0.011987607926130295, lr = [5e-05] +[2024-05-16 13:57:37,227] - INFO: Epoch 1331/9999, Iter 66520: Loss = 0.010686307214200497, lr = [5e-05] +[2024-05-16 13:57:54,675] - INFO: Epoch 1331/9999, Iter 66540: Loss = 0.010364294052124023, lr = [5e-05] +[2024-05-16 13:58:13,426] - INFO: Epoch 1332/9999, Iter 66560: Loss = 0.018688781186938286, lr = [5e-05] +[2024-05-16 13:58:31,439] - INFO: Epoch 1332/9999, Iter 66580: Loss = 0.011034875176846981, lr = [5e-05] +[2024-05-16 13:58:50,897] - INFO: Epoch 1333/9999, Iter 66600: Loss = 0.008526356890797615, lr = [5e-05] +[2024-05-16 13:59:08,493] - INFO: Epoch 1333/9999, Iter 66620: Loss = 0.01496589183807373, lr = [5e-05] +[2024-05-16 13:59:26,437] - INFO: Epoch 1333/9999, Iter 66640: Loss = 0.015362231060862541, lr = [5e-05] +[2024-05-16 13:59:45,098] - INFO: Epoch 1334/9999, Iter 66660: Loss = 0.020588228479027748, lr = [5e-05] +[2024-05-16 14:00:02,832] - INFO: Epoch 1334/9999, Iter 66680: Loss = 0.017801303416490555, lr = [5e-05] +[2024-05-16 14:00:22,488] - INFO: Epoch 1335/9999, Iter 66700: Loss = 0.0143924281001091, lr = [5e-05] +[2024-05-16 14:00:40,398] - INFO: Epoch 1335/9999, Iter 66720: Loss = 0.011148698627948761, lr = [5e-05] +[2024-05-16 14:00:58,576] - INFO: Epoch 1335/9999, Iter 66740: Loss = 0.015774980187416077, lr = [5e-05] +[2024-05-16 14:01:05,681] - INFO: Evaluate at epoch 1335! +[2024-05-16 14:01:09,322] - INFO: Eval PSNR (max): 37.906 (1255) SSIM (max): 0.9605 (1245) +[2024-05-16 14:01:09,323] - INFO: Eval PSNR (current): 37.905 (1335) SSIM (current): 0.9605 (1335) +[2024-05-16 14:01:09,323] - INFO: Evaluation over. +[2024-05-16 14:01:23,896] - INFO: Epoch 1336/9999, Iter 66760: Loss = 0.01595543697476387, lr = [5e-05] +[2024-05-16 14:01:40,925] - INFO: Epoch 1336/9999, Iter 66780: Loss = 0.007937486283481121, lr = [5e-05] +[2024-05-16 14:02:00,297] - INFO: Epoch 1337/9999, Iter 66800: Loss = 0.019753707572817802, lr = [5e-05] +[2024-05-16 14:02:17,402] - INFO: Epoch 1337/9999, Iter 66820: Loss = 0.01920212060213089, lr = [5e-05] +[2024-05-16 14:02:34,861] - INFO: Epoch 1337/9999, Iter 66840: Loss = 0.014832939021289349, lr = [5e-05] +[2024-05-16 14:02:53,900] - INFO: Epoch 1338/9999, Iter 66860: Loss = 0.005684605333954096, lr = [5e-05] +[2024-05-16 14:03:11,492] - INFO: Epoch 1338/9999, Iter 66880: Loss = 0.009510254487395287, lr = [5e-05] +[2024-05-16 14:03:30,404] - INFO: Epoch 1339/9999, Iter 66900: Loss = 0.01871507428586483, lr = [5e-05] +[2024-05-16 14:03:48,185] - INFO: Epoch 1339/9999, Iter 66920: Loss = 0.0142570985481143, lr = [5e-05] +[2024-05-16 14:04:06,001] - INFO: Epoch 1339/9999, Iter 66940: Loss = 0.010768740437924862, lr = [5e-05] +[2024-05-16 14:04:24,744] - INFO: Epoch 1340/9999, Iter 66960: Loss = 0.010598582215607166, lr = [5e-05] +[2024-05-16 14:04:42,921] - INFO: Epoch 1340/9999, Iter 66980: Loss = 0.010326850228011608, lr = [5e-05] +[2024-05-16 14:04:59,110] - INFO: Evaluate at epoch 1340! +[2024-05-16 14:05:02,774] - INFO: Eval PSNR (max): 37.906 (1255) SSIM (max): 0.9605 (1245) +[2024-05-16 14:05:02,774] - INFO: Eval PSNR (current): 37.897 (1340) SSIM (current): 0.9604 (1340) +[2024-05-16 14:05:02,774] - INFO: Evaluation over. +[2024-05-16 14:05:08,656] - INFO: Epoch 1341/9999, Iter 67000: Loss = 0.013810745440423489, lr = [5e-05] +[2024-05-16 14:05:25,536] - INFO: Epoch 1341/9999, Iter 67020: Loss = 0.013113664463162422, lr = [5e-05] +[2024-05-16 14:05:43,390] - INFO: Epoch 1341/9999, Iter 67040: Loss = 0.020125634968280792, lr = [5e-05] +[2024-05-16 14:06:03,215] - INFO: Epoch 1342/9999, Iter 67060: Loss = 0.015979716554284096, lr = [5e-05] +[2024-05-16 14:06:21,155] - INFO: Epoch 1342/9999, Iter 67080: Loss = 0.011017815209925175, lr = [5e-05] +[2024-05-16 14:06:40,653] - INFO: Epoch 1343/9999, Iter 67100: Loss = 0.018900109454989433, lr = [5e-05] +[2024-05-16 14:06:58,561] - INFO: Epoch 1343/9999, Iter 67120: Loss = 0.010988174006342888, lr = [5e-05] +[2024-05-16 14:07:16,668] - INFO: Epoch 1343/9999, Iter 67140: Loss = 0.016084183007478714, lr = [5e-05] +[2024-05-16 14:07:36,084] - INFO: Epoch 1344/9999, Iter 67160: Loss = 0.01277170144021511, lr = [5e-05] +[2024-05-16 14:07:53,673] - INFO: Epoch 1344/9999, Iter 67180: Loss = 0.011389607563614845, lr = [5e-05] +[2024-05-16 14:08:12,580] - INFO: Epoch 1345/9999, Iter 67200: Loss = 0.013715812936425209, lr = [5e-05] +[2024-05-16 14:08:29,596] - INFO: Epoch 1345/9999, Iter 67220: Loss = 0.009231405332684517, lr = [5e-05] +[2024-05-16 14:08:47,065] - INFO: Epoch 1345/9999, Iter 67240: Loss = 0.010840698145329952, lr = [5e-05] +[2024-05-16 14:08:54,871] - INFO: Evaluate at epoch 1345! +[2024-05-16 14:08:58,455] - INFO: Eval PSNR (max): 37.906 (1255) SSIM (max): 0.9605 (1245) +[2024-05-16 14:08:58,455] - INFO: Eval PSNR (current): 37.874 (1345) SSIM (current): 0.9605 (1345) +[2024-05-16 14:08:58,455] - INFO: Evaluation over. +[2024-05-16 14:09:13,232] - INFO: Epoch 1346/9999, Iter 67260: Loss = 0.011037671007215977, lr = [5e-05] +[2024-05-16 14:09:30,682] - INFO: Epoch 1346/9999, Iter 67280: Loss = 0.010884249582886696, lr = [5e-05] +[2024-05-16 14:09:50,543] - INFO: Epoch 1347/9999, Iter 67300: Loss = 0.01438877359032631, lr = [5e-05] +[2024-05-16 14:10:08,611] - INFO: Epoch 1347/9999, Iter 67320: Loss = 0.011650201864540577, lr = [5e-05] +[2024-05-16 14:10:26,526] - INFO: Epoch 1347/9999, Iter 67340: Loss = 0.016775833442807198, lr = [5e-05] +[2024-05-16 14:10:45,128] - INFO: Epoch 1348/9999, Iter 67360: Loss = 0.014511026442050934, lr = [5e-05] +[2024-05-16 14:11:02,216] - INFO: Epoch 1348/9999, Iter 67380: Loss = 0.01304286066442728, lr = [5e-05] +[2024-05-16 14:11:21,484] - INFO: Epoch 1349/9999, Iter 67400: Loss = 0.010653971694409847, lr = [5e-05] +[2024-05-16 14:11:38,825] - INFO: Epoch 1349/9999, Iter 67420: Loss = 0.01044485718011856, lr = [5e-05] +[2024-05-16 14:11:56,971] - INFO: Epoch 1349/9999, Iter 67440: Loss = 0.011449114419519901, lr = [5e-05] +[2024-05-16 14:12:16,044] - INFO: Epoch 1350/9999, Iter 67460: Loss = 0.015831749886274338, lr = [5e-05] +[2024-05-16 14:12:33,388] - INFO: Epoch 1350/9999, Iter 67480: Loss = 0.015588098205626011, lr = [5e-05] +[2024-05-16 14:12:49,816] - INFO: Evaluate at epoch 1350! +[2024-05-16 14:12:53,267] - INFO: Eval PSNR (max): 37.906 (1255) SSIM (max): 0.9605 (1245) +[2024-05-16 14:12:53,267] - INFO: Eval PSNR (current): 37.905 (1350) SSIM (current): 0.9604 (1350) +[2024-05-16 14:12:53,267] - INFO: Evaluation over. +[2024-05-16 14:12:59,166] - INFO: Epoch 1351/9999, Iter 67500: Loss = 0.010422713123261929, lr = [5e-05] +[2024-05-16 14:13:16,568] - INFO: Epoch 1351/9999, Iter 67520: Loss = 0.015190939418971539, lr = [5e-05] +[2024-05-16 14:13:33,683] - INFO: Epoch 1351/9999, Iter 67540: Loss = 0.010085673071444035, lr = [5e-05] +[2024-05-16 14:13:52,476] - INFO: Epoch 1352/9999, Iter 67560: Loss = 0.014219838194549084, lr = [5e-05] +[2024-05-16 14:14:09,889] - INFO: Epoch 1352/9999, Iter 67580: Loss = 0.012385586276650429, lr = [5e-05] +[2024-05-16 14:14:28,914] - INFO: Epoch 1353/9999, Iter 67600: Loss = 0.014591680839657784, lr = [5e-05] +[2024-05-16 14:14:47,165] - INFO: Epoch 1353/9999, Iter 67620: Loss = 0.01315100584179163, lr = [5e-05] +[2024-05-16 14:15:04,360] - INFO: Epoch 1353/9999, Iter 67640: Loss = 0.016548000276088715, lr = [5e-05] +[2024-05-16 14:15:23,345] - INFO: Epoch 1354/9999, Iter 67660: Loss = 0.013717527501285076, lr = [5e-05] +[2024-05-16 14:15:41,120] - INFO: Epoch 1354/9999, Iter 67680: Loss = 0.01299163606017828, lr = [5e-05] +[2024-05-16 14:16:00,185] - INFO: Epoch 1355/9999, Iter 67700: Loss = 0.017066720873117447, lr = [5e-05] +[2024-05-16 14:16:17,964] - INFO: Epoch 1355/9999, Iter 67720: Loss = 0.017435599118471146, lr = [5e-05] +[2024-05-16 14:16:36,409] - INFO: Epoch 1355/9999, Iter 67740: Loss = 0.018780315294861794, lr = [5e-05] +[2024-05-16 14:16:43,847] - INFO: Evaluate at epoch 1355! +[2024-05-16 14:16:47,379] - INFO: Eval PSNR (max): 37.906 (1255) SSIM (max): 0.9605 (1245) +[2024-05-16 14:16:47,380] - INFO: Eval PSNR (current): 37.900 (1355) SSIM (current): 0.9605 (1355) +[2024-05-16 14:16:47,380] - INFO: Evaluation over. +[2024-05-16 14:17:02,749] - INFO: Epoch 1356/9999, Iter 67760: Loss = 0.013813626952469349, lr = [5e-05] +[2024-05-16 14:17:20,008] - INFO: Epoch 1356/9999, Iter 67780: Loss = 0.015744490548968315, lr = [5e-05] +[2024-05-16 14:17:38,995] - INFO: Epoch 1357/9999, Iter 67800: Loss = 0.012366198934614658, lr = [5e-05] +[2024-05-16 14:17:57,346] - INFO: Epoch 1357/9999, Iter 67820: Loss = 0.014453322626650333, lr = [5e-05] +[2024-05-16 14:18:14,898] - INFO: Epoch 1357/9999, Iter 67840: Loss = 0.010148895904421806, lr = [5e-05] +[2024-05-16 14:18:33,658] - INFO: Epoch 1358/9999, Iter 67860: Loss = 0.015024280175566673, lr = [5e-05] +[2024-05-16 14:18:51,731] - INFO: Epoch 1358/9999, Iter 67880: Loss = 0.01295783556997776, lr = [5e-05] +[2024-05-16 14:19:10,116] - INFO: Epoch 1359/9999, Iter 67900: Loss = 0.01183964591473341, lr = [5e-05] +[2024-05-16 14:19:28,059] - INFO: Epoch 1359/9999, Iter 67920: Loss = 0.014185124076902866, lr = [5e-05] +[2024-05-16 14:19:45,964] - INFO: Epoch 1359/9999, Iter 67940: Loss = 0.013106605969369411, lr = [5e-05] +[2024-05-16 14:20:04,591] - INFO: Epoch 1360/9999, Iter 67960: Loss = 0.01212254073470831, lr = [5e-05] +[2024-05-16 14:20:21,996] - INFO: Epoch 1360/9999, Iter 67980: Loss = 0.017320353537797928, lr = [5e-05] +[2024-05-16 14:20:38,762] - INFO: Evaluate at epoch 1360! +[2024-05-16 14:20:42,188] - INFO: Eval PSNR (max): 37.906 (1255) SSIM (max): 0.9605 (1245) +[2024-05-16 14:20:42,188] - INFO: Eval PSNR (current): 37.890 (1360) SSIM (current): 0.9604 (1360) +[2024-05-16 14:20:42,188] - INFO: Evaluation over. +[2024-05-16 14:20:48,074] - INFO: Epoch 1361/9999, Iter 68000: Loss = 0.009116707369685173, lr = [5e-05] +[2024-05-16 14:21:06,041] - INFO: Epoch 1361/9999, Iter 68020: Loss = 0.011832907795906067, lr = [5e-05] +[2024-05-16 14:21:23,893] - INFO: Epoch 1361/9999, Iter 68040: Loss = 0.00922363344579935, lr = [5e-05] +[2024-05-16 14:21:43,216] - INFO: Epoch 1362/9999, Iter 68060: Loss = 0.009918776340782642, lr = [5e-05] +[2024-05-16 14:22:01,052] - INFO: Epoch 1362/9999, Iter 68080: Loss = 0.017815737053751945, lr = [5e-05] +[2024-05-16 14:22:20,387] - INFO: Epoch 1363/9999, Iter 68100: Loss = 0.013881188817322254, lr = [5e-05] +[2024-05-16 14:22:38,485] - INFO: Epoch 1363/9999, Iter 68120: Loss = 0.011648754589259624, lr = [5e-05] +[2024-05-16 14:22:56,514] - INFO: Epoch 1363/9999, Iter 68140: Loss = 0.01230764202773571, lr = [5e-05] +[2024-05-16 14:23:15,788] - INFO: Epoch 1364/9999, Iter 68160: Loss = 0.009078134782612324, lr = [5e-05] +[2024-05-16 14:23:34,044] - INFO: Epoch 1364/9999, Iter 68180: Loss = 0.011764347553253174, lr = [5e-05] +[2024-05-16 14:23:52,591] - INFO: Epoch 1365/9999, Iter 68200: Loss = 0.012786430306732655, lr = [5e-05] +[2024-05-16 14:24:10,576] - INFO: Epoch 1365/9999, Iter 68220: Loss = 0.012666183523833752, lr = [5e-05] +[2024-05-16 14:24:28,405] - INFO: Epoch 1365/9999, Iter 68240: Loss = 0.015417986549437046, lr = [5e-05] +[2024-05-16 14:24:35,631] - INFO: Evaluate at epoch 1365! +[2024-05-16 14:24:39,261] - INFO: Eval PSNR (max): 37.906 (1255) SSIM (max): 0.9605 (1245) +[2024-05-16 14:24:39,261] - INFO: Eval PSNR (current): 37.865 (1365) SSIM (current): 0.9604 (1365) +[2024-05-16 14:24:39,261] - INFO: Evaluation over. +[2024-05-16 14:24:53,688] - INFO: Epoch 1366/9999, Iter 68260: Loss = 0.011797014623880386, lr = [5e-05] +[2024-05-16 14:25:10,884] - INFO: Epoch 1366/9999, Iter 68280: Loss = 0.012714139185845852, lr = [5e-05] +[2024-05-16 14:25:30,584] - INFO: Epoch 1367/9999, Iter 68300: Loss = 0.01303744688630104, lr = [5e-05] +[2024-05-16 14:25:47,393] - INFO: Epoch 1367/9999, Iter 68320: Loss = 0.008307896554470062, lr = [5e-05] +[2024-05-16 14:26:04,908] - INFO: Epoch 1367/9999, Iter 68340: Loss = 0.013379046693444252, lr = [5e-05] +[2024-05-16 14:26:24,314] - INFO: Epoch 1368/9999, Iter 68360: Loss = 0.010553775355219841, lr = [5e-05] +[2024-05-16 14:26:41,842] - INFO: Epoch 1368/9999, Iter 68380: Loss = 0.0074200257658958435, lr = [5e-05] +[2024-05-16 14:27:00,963] - INFO: Epoch 1369/9999, Iter 68400: Loss = 0.011794960126280785, lr = [5e-05] +[2024-05-16 14:27:19,444] - INFO: Epoch 1369/9999, Iter 68420: Loss = 0.01598726026713848, lr = [5e-05] +[2024-05-16 14:27:37,412] - INFO: Epoch 1369/9999, Iter 68440: Loss = 0.012817414477467537, lr = [5e-05] +[2024-05-16 14:27:56,420] - INFO: Epoch 1370/9999, Iter 68460: Loss = 0.010304877534508705, lr = [5e-05] +[2024-05-16 14:28:13,535] - INFO: Epoch 1370/9999, Iter 68480: Loss = 0.015831176191568375, lr = [5e-05] +[2024-05-16 14:28:30,008] - INFO: Evaluate at epoch 1370! +[2024-05-16 14:28:37,926] - INFO: Eval PSNR (max): 37.906 (1255) SSIM (max): 0.9605 (1370) +[2024-05-16 14:28:37,926] - INFO: Eval PSNR (current): 37.899 (1370) SSIM (current): 0.9605 (1370) +[2024-05-16 14:28:37,926] - INFO: Evaluation over. +[2024-05-16 14:28:47,167] - INFO: Epoch 1371/9999, Iter 68500: Loss = 0.015304459258913994, lr = [5e-05] +[2024-05-16 14:29:04,001] - INFO: Epoch 1371/9999, Iter 68520: Loss = 0.016459260135889053, lr = [5e-05] +[2024-05-16 14:29:21,811] - INFO: Epoch 1371/9999, Iter 68540: Loss = 0.01347120851278305, lr = [5e-05] +[2024-05-16 14:29:40,298] - INFO: Epoch 1372/9999, Iter 68560: Loss = 0.012462044134736061, lr = [5e-05] +[2024-05-16 14:29:57,540] - INFO: Epoch 1372/9999, Iter 68580: Loss = 0.006338948383927345, lr = [5e-05] +[2024-05-16 14:30:16,761] - INFO: Epoch 1373/9999, Iter 68600: Loss = 0.008209059946238995, lr = [5e-05] +[2024-05-16 14:30:34,088] - INFO: Epoch 1373/9999, Iter 68620: Loss = 0.01681196317076683, lr = [5e-05] +[2024-05-16 14:30:52,528] - INFO: Epoch 1373/9999, Iter 68640: Loss = 0.007144571281969547, lr = [5e-05] +[2024-05-16 14:31:11,636] - INFO: Epoch 1374/9999, Iter 68660: Loss = 0.01592712290585041, lr = [5e-05] +[2024-05-16 14:31:29,387] - INFO: Epoch 1374/9999, Iter 68680: Loss = 0.017484983429312706, lr = [5e-05] +[2024-05-16 14:31:48,168] - INFO: Epoch 1375/9999, Iter 68700: Loss = 0.009937308728694916, lr = [5e-05] +[2024-05-16 14:32:06,218] - INFO: Epoch 1375/9999, Iter 68720: Loss = 0.010164724662899971, lr = [5e-05] +[2024-05-16 14:32:24,249] - INFO: Epoch 1375/9999, Iter 68740: Loss = 0.01589721255004406, lr = [5e-05] +[2024-05-16 14:32:31,903] - INFO: Evaluate at epoch 1375! +[2024-05-16 14:32:35,313] - INFO: Eval PSNR (max): 37.906 (1255) SSIM (max): 0.9605 (1370) +[2024-05-16 14:32:35,313] - INFO: Eval PSNR (current): 37.835 (1375) SSIM (current): 0.9603 (1375) +[2024-05-16 14:32:35,313] - INFO: Evaluation over. +[2024-05-16 14:32:50,376] - INFO: Epoch 1376/9999, Iter 68760: Loss = 0.012738806195557117, lr = [5e-05] +[2024-05-16 14:33:08,506] - INFO: Epoch 1376/9999, Iter 68780: Loss = 0.009823141619563103, lr = [5e-05] +[2024-05-16 14:33:27,211] - INFO: Epoch 1377/9999, Iter 68800: Loss = 0.015590190887451172, lr = [5e-05] +[2024-05-16 14:33:45,380] - INFO: Epoch 1377/9999, Iter 68820: Loss = 0.011838248930871487, lr = [5e-05] +[2024-05-16 14:34:02,977] - INFO: Epoch 1377/9999, Iter 68840: Loss = 0.01683511771261692, lr = [5e-05] +[2024-05-16 14:34:21,908] - INFO: Epoch 1378/9999, Iter 68860: Loss = 0.01041865162551403, lr = [5e-05] +[2024-05-16 14:34:38,810] - INFO: Epoch 1378/9999, Iter 68880: Loss = 0.013797621242702007, lr = [5e-05] +[2024-05-16 14:34:58,334] - INFO: Epoch 1379/9999, Iter 68900: Loss = 0.012517481110990047, lr = [5e-05] +[2024-05-16 14:35:16,291] - INFO: Epoch 1379/9999, Iter 68920: Loss = 0.013519768603146076, lr = [5e-05] +[2024-05-16 14:35:33,890] - INFO: Epoch 1379/9999, Iter 68940: Loss = 0.01563512161374092, lr = [5e-05] +[2024-05-16 14:35:53,096] - INFO: Epoch 1380/9999, Iter 68960: Loss = 0.01832698844373226, lr = [5e-05] +[2024-05-16 14:36:11,496] - INFO: Epoch 1380/9999, Iter 68980: Loss = 0.009856581687927246, lr = [5e-05] +[2024-05-16 14:36:27,847] - INFO: Evaluate at epoch 1380! +[2024-05-16 14:36:31,406] - INFO: Eval PSNR (max): 37.906 (1255) SSIM (max): 0.9605 (1370) +[2024-05-16 14:36:31,406] - INFO: Eval PSNR (current): 37.844 (1380) SSIM (current): 0.9604 (1380) +[2024-05-16 14:36:31,407] - INFO: Evaluation over. +[2024-05-16 14:36:37,357] - INFO: Epoch 1381/9999, Iter 69000: Loss = 0.013928216882050037, lr = [5e-05] +[2024-05-16 14:36:54,538] - INFO: Epoch 1381/9999, Iter 69020: Loss = 0.008385255001485348, lr = [5e-05] +[2024-05-16 14:37:11,840] - INFO: Epoch 1381/9999, Iter 69040: Loss = 0.011550836265087128, lr = [5e-05] +[2024-05-16 14:37:31,640] - INFO: Epoch 1382/9999, Iter 69060: Loss = 0.011081133037805557, lr = [5e-05] +[2024-05-16 14:37:50,043] - INFO: Epoch 1382/9999, Iter 69080: Loss = 0.015145569108426571, lr = [5e-05] +[2024-05-16 14:38:08,518] - INFO: Epoch 1383/9999, Iter 69100: Loss = 0.016441358253359795, lr = [5e-05] +[2024-05-16 14:38:26,624] - INFO: Epoch 1383/9999, Iter 69120: Loss = 0.01883644610643387, lr = [5e-05] +[2024-05-16 14:38:44,868] - INFO: Epoch 1383/9999, Iter 69140: Loss = 0.020044099539518356, lr = [5e-05] +[2024-05-16 14:39:03,144] - INFO: Epoch 1384/9999, Iter 69160: Loss = 0.012751716189086437, lr = [5e-05] +[2024-05-16 14:39:21,250] - INFO: Epoch 1384/9999, Iter 69180: Loss = 0.01509329117834568, lr = [5e-05] +[2024-05-16 14:39:40,508] - INFO: Epoch 1385/9999, Iter 69200: Loss = 0.01533817034214735, lr = [5e-05] +[2024-05-16 14:39:58,214] - INFO: Epoch 1385/9999, Iter 69220: Loss = 0.00871578510850668, lr = [5e-05] +[2024-05-16 14:40:15,618] - INFO: Epoch 1385/9999, Iter 69240: Loss = 0.011643641628324986, lr = [5e-05] +[2024-05-16 14:40:23,388] - INFO: Evaluate at epoch 1385! +[2024-05-16 14:40:30,832] - INFO: Eval PSNR (max): 37.922 (1385) SSIM (max): 0.9605 (1370) +[2024-05-16 14:40:30,833] - INFO: Eval PSNR (current): 37.922 (1385) SSIM (current): 0.9605 (1385) +[2024-05-16 14:40:30,833] - INFO: Evaluation over. +[2024-05-16 14:40:45,886] - INFO: Epoch 1386/9999, Iter 69260: Loss = 0.009414248168468475, lr = [5e-05] +[2024-05-16 14:41:04,394] - INFO: Epoch 1386/9999, Iter 69280: Loss = 0.014326422475278378, lr = [5e-05] +[2024-05-16 14:41:23,420] - INFO: Epoch 1387/9999, Iter 69300: Loss = 0.00949080754071474, lr = [5e-05] +[2024-05-16 14:41:41,356] - INFO: Epoch 1387/9999, Iter 69320: Loss = 0.01422619167715311, lr = [5e-05] +[2024-05-16 14:41:59,548] - INFO: Epoch 1387/9999, Iter 69340: Loss = 0.016024133190512657, lr = [5e-05] +[2024-05-16 14:42:18,536] - INFO: Epoch 1388/9999, Iter 69360: Loss = 0.013776326552033424, lr = [5e-05] +[2024-05-16 14:42:38,059] - INFO: Epoch 1388/9999, Iter 69380: Loss = 0.009138135239481926, lr = [5e-05] +[2024-05-16 14:42:57,408] - INFO: Epoch 1389/9999, Iter 69400: Loss = 0.014132576063275337, lr = [5e-05] +[2024-05-16 14:43:15,276] - INFO: Epoch 1389/9999, Iter 69420: Loss = 0.015727652236819267, lr = [5e-05] +[2024-05-16 14:43:33,850] - INFO: Epoch 1389/9999, Iter 69440: Loss = 0.01205594651401043, lr = [5e-05] +[2024-05-16 14:43:53,168] - INFO: Epoch 1390/9999, Iter 69460: Loss = 0.013014073483645916, lr = [5e-05] +[2024-05-16 14:44:10,466] - INFO: Epoch 1390/9999, Iter 69480: Loss = 0.012258951552212238, lr = [5e-05] +[2024-05-16 14:44:27,359] - INFO: Evaluate at epoch 1390! +[2024-05-16 14:44:30,902] - INFO: Eval PSNR (max): 37.922 (1385) SSIM (max): 0.9605 (1370) +[2024-05-16 14:44:30,902] - INFO: Eval PSNR (current): 37.890 (1390) SSIM (current): 0.9604 (1390) +[2024-05-16 14:44:30,902] - INFO: Evaluation over. +[2024-05-16 14:44:36,932] - INFO: Epoch 1391/9999, Iter 69500: Loss = 0.017715897411108017, lr = [5e-05] +[2024-05-16 14:44:55,168] - INFO: Epoch 1391/9999, Iter 69520: Loss = 0.011075065471231937, lr = [5e-05] +[2024-05-16 14:45:12,421] - INFO: Epoch 1391/9999, Iter 69540: Loss = 0.014221099205315113, lr = [5e-05] +[2024-05-16 14:45:31,436] - INFO: Epoch 1392/9999, Iter 69560: Loss = 0.013265619985759258, lr = [5e-05] +[2024-05-16 14:45:49,508] - INFO: Epoch 1392/9999, Iter 69580: Loss = 0.008854309096932411, lr = [5e-05] +[2024-05-16 14:46:08,864] - INFO: Epoch 1393/9999, Iter 69600: Loss = 0.01520561333745718, lr = [5e-05] +[2024-05-16 14:46:27,005] - INFO: Epoch 1393/9999, Iter 69620: Loss = 0.01787738688290119, lr = [5e-05] +[2024-05-16 14:46:44,228] - INFO: Epoch 1393/9999, Iter 69640: Loss = 0.015964899212121964, lr = [5e-05] +[2024-05-16 14:47:02,696] - INFO: Epoch 1394/9999, Iter 69660: Loss = 0.01767888478934765, lr = [5e-05] +[2024-05-16 14:47:20,045] - INFO: Epoch 1394/9999, Iter 69680: Loss = 0.008595747873187065, lr = [5e-05] +[2024-05-16 14:47:39,219] - INFO: Epoch 1395/9999, Iter 69700: Loss = 0.013975142501294613, lr = [5e-05] +[2024-05-16 14:47:57,392] - INFO: Epoch 1395/9999, Iter 69720: Loss = 0.019179310649633408, lr = [5e-05] +[2024-05-16 14:48:14,992] - INFO: Epoch 1395/9999, Iter 69740: Loss = 0.015283445827662945, lr = [5e-05] +[2024-05-16 14:48:23,056] - INFO: Evaluate at epoch 1395! +[2024-05-16 14:48:26,678] - INFO: Eval PSNR (max): 37.922 (1385) SSIM (max): 0.9605 (1370) +[2024-05-16 14:48:26,678] - INFO: Eval PSNR (current): 37.912 (1395) SSIM (current): 0.9604 (1395) +[2024-05-16 14:48:26,679] - INFO: Evaluation over. +[2024-05-16 14:48:41,778] - INFO: Epoch 1396/9999, Iter 69760: Loss = 0.010217048227787018, lr = [5e-05] +[2024-05-16 14:48:59,889] - INFO: Epoch 1396/9999, Iter 69780: Loss = 0.007416923996061087, lr = [5e-05] +[2024-05-16 14:49:18,794] - INFO: Epoch 1397/9999, Iter 69800: Loss = 0.013861201703548431, lr = [5e-05] +[2024-05-16 14:49:37,110] - INFO: Epoch 1397/9999, Iter 69820: Loss = 0.013337524607777596, lr = [5e-05] +[2024-05-16 14:49:54,889] - INFO: Epoch 1397/9999, Iter 69840: Loss = 0.013093954883515835, lr = [5e-05] +[2024-05-16 14:50:13,226] - INFO: Epoch 1398/9999, Iter 69860: Loss = 0.013546771369874477, lr = [5e-05] +[2024-05-16 14:50:31,031] - INFO: Epoch 1398/9999, Iter 69880: Loss = 0.008024875074625015, lr = [5e-05] +[2024-05-16 14:50:49,494] - INFO: Epoch 1399/9999, Iter 69900: Loss = 0.017808035016059875, lr = [5e-05] +[2024-05-16 14:51:07,428] - INFO: Epoch 1399/9999, Iter 69920: Loss = 0.01409018225967884, lr = [5e-05] +[2024-05-16 14:51:25,415] - INFO: Epoch 1399/9999, Iter 69940: Loss = 0.014911390841007233, lr = [5e-05] +[2024-05-16 14:51:43,757] - INFO: Epoch 1400/9999, Iter 69960: Loss = 0.014651332050561905, lr = [5e-05] +[2024-05-16 14:52:01,692] - INFO: Epoch 1400/9999, Iter 69980: Loss = 0.01671251282095909, lr = [5e-05] +[2024-05-16 14:52:18,637] - INFO: Evaluate at epoch 1400! +[2024-05-16 14:52:22,119] - INFO: Eval PSNR (max): 37.922 (1385) SSIM (max): 0.9605 (1370) +[2024-05-16 14:52:22,120] - INFO: Eval PSNR (current): 37.893 (1400) SSIM (current): 0.9603 (1400) +[2024-05-16 14:52:22,120] - INFO: Evaluation over. +[2024-05-16 14:52:28,168] - INFO: Epoch 1401/9999, Iter 70000: Loss = 0.011731844395399094, lr = [5e-05] +[2024-05-16 14:52:45,436] - INFO: Epoch 1401/9999, Iter 70020: Loss = 0.012680994346737862, lr = [5e-05] +[2024-05-16 14:53:02,601] - INFO: Epoch 1401/9999, Iter 70040: Loss = 0.017008056864142418, lr = [5e-05] +[2024-05-16 14:53:22,248] - INFO: Epoch 1402/9999, Iter 70060: Loss = 0.011612996459007263, lr = [5e-05] +[2024-05-16 14:53:40,416] - INFO: Epoch 1402/9999, Iter 70080: Loss = 0.018990153446793556, lr = [5e-05] +[2024-05-16 14:53:59,121] - INFO: Epoch 1403/9999, Iter 70100: Loss = 0.009732943959534168, lr = [5e-05] +[2024-05-16 14:54:17,674] - INFO: Epoch 1403/9999, Iter 70120: Loss = 0.012294613756239414, lr = [5e-05] +[2024-05-16 14:54:35,461] - INFO: Epoch 1403/9999, Iter 70140: Loss = 0.01577935926616192, lr = [5e-05] +[2024-05-16 14:54:54,168] - INFO: Epoch 1404/9999, Iter 70160: Loss = 0.009613323956727982, lr = [5e-05] +[2024-05-16 14:55:10,948] - INFO: Epoch 1404/9999, Iter 70180: Loss = 0.015304533764719963, lr = [5e-05] +[2024-05-16 14:55:30,049] - INFO: Epoch 1405/9999, Iter 70200: Loss = 0.011800013482570648, lr = [5e-05] +[2024-05-16 14:55:48,021] - INFO: Epoch 1405/9999, Iter 70220: Loss = 0.016934748739004135, lr = [5e-05] +[2024-05-16 14:56:06,080] - INFO: Epoch 1405/9999, Iter 70240: Loss = 0.014975612051784992, lr = [5e-05] +[2024-05-16 14:56:13,582] - INFO: Evaluate at epoch 1405! +[2024-05-16 14:56:17,104] - INFO: Eval PSNR (max): 37.922 (1385) SSIM (max): 0.9605 (1370) +[2024-05-16 14:56:17,104] - INFO: Eval PSNR (current): 37.862 (1405) SSIM (current): 0.9605 (1405) +[2024-05-16 14:56:17,104] - INFO: Evaluation over. +[2024-05-16 14:56:31,547] - INFO: Epoch 1406/9999, Iter 70260: Loss = 0.014860857278108597, lr = [5e-05] +[2024-05-16 14:56:49,774] - INFO: Epoch 1406/9999, Iter 70280: Loss = 0.009239052422344685, lr = [5e-05] +[2024-05-16 14:57:09,444] - INFO: Epoch 1407/9999, Iter 70300: Loss = 0.011439829133450985, lr = [5e-05] +[2024-05-16 14:57:27,148] - INFO: Epoch 1407/9999, Iter 70320: Loss = 0.017139380797743797, lr = [5e-05] +[2024-05-16 14:57:44,988] - INFO: Epoch 1407/9999, Iter 70340: Loss = 0.007833538576960564, lr = [5e-05] +[2024-05-16 14:58:04,132] - INFO: Epoch 1408/9999, Iter 70360: Loss = 0.013529722578823566, lr = [5e-05] +[2024-05-16 14:58:22,580] - INFO: Epoch 1408/9999, Iter 70380: Loss = 0.014313042163848877, lr = [5e-05] +[2024-05-16 14:58:41,402] - INFO: Epoch 1409/9999, Iter 70400: Loss = 0.01315371971577406, lr = [5e-05] +[2024-05-16 14:58:58,744] - INFO: Epoch 1409/9999, Iter 70420: Loss = 0.013125324621796608, lr = [5e-05] +[2024-05-16 14:59:16,385] - INFO: Epoch 1409/9999, Iter 70440: Loss = 0.015254602767527103, lr = [5e-05] +[2024-05-16 14:59:35,420] - INFO: Epoch 1410/9999, Iter 70460: Loss = 0.016415582969784737, lr = [5e-05] +[2024-05-16 14:59:53,235] - INFO: Epoch 1410/9999, Iter 70480: Loss = 0.010066193528473377, lr = [5e-05] +[2024-05-16 15:00:10,141] - INFO: Evaluate at epoch 1410! +[2024-05-16 15:00:17,338] - INFO: Eval PSNR (max): 37.927 (1410) SSIM (max): 0.9605 (1370) +[2024-05-16 15:00:17,339] - INFO: Eval PSNR (current): 37.927 (1410) SSIM (current): 0.9605 (1410) +[2024-05-16 15:00:17,339] - INFO: Evaluation over. +[2024-05-16 15:00:23,436] - INFO: Epoch 1411/9999, Iter 70500: Loss = 0.015293211676180363, lr = [5e-05] +[2024-05-16 15:00:41,260] - INFO: Epoch 1411/9999, Iter 70520: Loss = 0.01599392294883728, lr = [5e-05] +[2024-05-16 15:00:58,856] - INFO: Epoch 1411/9999, Iter 70540: Loss = 0.014186727814376354, lr = [5e-05] +[2024-05-16 15:01:18,073] - INFO: Epoch 1412/9999, Iter 70560: Loss = 0.017051298171281815, lr = [5e-05] +[2024-05-16 15:01:35,491] - INFO: Epoch 1412/9999, Iter 70580: Loss = 0.006771299988031387, lr = [5e-05] +[2024-05-16 15:01:54,419] - INFO: Epoch 1413/9999, Iter 70600: Loss = 0.011934799142181873, lr = [5e-05] +[2024-05-16 15:02:11,878] - INFO: Epoch 1413/9999, Iter 70620: Loss = 0.013493339531123638, lr = [5e-05] +[2024-05-16 15:02:29,448] - INFO: Epoch 1413/9999, Iter 70640: Loss = 0.009290825575590134, lr = [5e-05] +[2024-05-16 15:02:48,796] - INFO: Epoch 1414/9999, Iter 70660: Loss = 0.010355554521083832, lr = [5e-05] +[2024-05-16 15:03:06,800] - INFO: Epoch 1414/9999, Iter 70680: Loss = 0.007340351585298777, lr = [5e-05] +[2024-05-16 15:03:26,004] - INFO: Epoch 1415/9999, Iter 70700: Loss = 0.007863590493798256, lr = [5e-05] +[2024-05-16 15:03:43,848] - INFO: Epoch 1415/9999, Iter 70720: Loss = 0.016739871352910995, lr = [5e-05] +[2024-05-16 15:04:01,348] - INFO: Epoch 1415/9999, Iter 70740: Loss = 0.012660841457545757, lr = [5e-05] +[2024-05-16 15:04:09,280] - INFO: Evaluate at epoch 1415! +[2024-05-16 15:04:12,942] - INFO: Eval PSNR (max): 37.927 (1410) SSIM (max): 0.9605 (1370) +[2024-05-16 15:04:12,943] - INFO: Eval PSNR (current): 37.823 (1415) SSIM (current): 0.9605 (1415) +[2024-05-16 15:04:12,943] - INFO: Evaluation over. +[2024-05-16 15:04:27,552] - INFO: Epoch 1416/9999, Iter 70760: Loss = 0.020311053842306137, lr = [5e-05] +[2024-05-16 15:04:45,731] - INFO: Epoch 1416/9999, Iter 70780: Loss = 0.016441870480775833, lr = [5e-05] +[2024-05-16 15:05:04,725] - INFO: Epoch 1417/9999, Iter 70800: Loss = 0.01638106442987919, lr = [5e-05] +[2024-05-16 15:05:22,332] - INFO: Epoch 1417/9999, Iter 70820: Loss = 0.015154651366174221, lr = [5e-05] +[2024-05-16 15:05:40,028] - INFO: Epoch 1417/9999, Iter 70840: Loss = 0.015405863523483276, lr = [5e-05] +[2024-05-16 15:05:58,928] - INFO: Epoch 1418/9999, Iter 70860: Loss = 0.012082870118319988, lr = [5e-05] +[2024-05-16 15:06:16,663] - INFO: Epoch 1418/9999, Iter 70880: Loss = 0.013896544463932514, lr = [5e-05] +[2024-05-16 15:06:35,604] - INFO: Epoch 1419/9999, Iter 70900: Loss = 0.014064819552004337, lr = [5e-05] +[2024-05-16 15:06:52,957] - INFO: Epoch 1419/9999, Iter 70920: Loss = 0.0069415271282196045, lr = [5e-05] +[2024-05-16 15:07:10,880] - INFO: Epoch 1419/9999, Iter 70940: Loss = 0.00930067803710699, lr = [5e-05] +[2024-05-16 15:07:30,535] - INFO: Epoch 1420/9999, Iter 70960: Loss = 0.013256077654659748, lr = [5e-05] +[2024-05-16 15:07:48,532] - INFO: Epoch 1420/9999, Iter 70980: Loss = 0.012889597564935684, lr = [5e-05] +[2024-05-16 15:08:04,682] - INFO: Evaluate at epoch 1420! +[2024-05-16 15:08:11,907] - INFO: Eval PSNR (max): 37.927 (1410) SSIM (max): 0.9606 (1420) +[2024-05-16 15:08:11,907] - INFO: Eval PSNR (current): 37.919 (1420) SSIM (current): 0.9606 (1420) +[2024-05-16 15:08:11,907] - INFO: Evaluation over. +[2024-05-16 15:08:17,782] - INFO: Epoch 1421/9999, Iter 71000: Loss = 0.01190892979502678, lr = [5e-05] +[2024-05-16 15:08:34,810] - INFO: Epoch 1421/9999, Iter 71020: Loss = 0.016647089272737503, lr = [5e-05] +[2024-05-16 15:08:52,740] - INFO: Epoch 1421/9999, Iter 71040: Loss = 0.008490717969834805, lr = [5e-05] +[2024-05-16 15:09:12,172] - INFO: Epoch 1422/9999, Iter 71060: Loss = 0.011506319977343082, lr = [5e-05] +[2024-05-16 15:09:29,882] - INFO: Epoch 1422/9999, Iter 71080: Loss = 0.011497409082949162, lr = [5e-05] +[2024-05-16 15:09:48,832] - INFO: Epoch 1423/9999, Iter 71100: Loss = 0.006743224337697029, lr = [5e-05] +[2024-05-16 15:10:06,907] - INFO: Epoch 1423/9999, Iter 71120: Loss = 0.014588088728487492, lr = [5e-05] +[2024-05-16 15:10:25,090] - INFO: Epoch 1423/9999, Iter 71140: Loss = 0.009065812453627586, lr = [5e-05] +[2024-05-16 15:10:44,050] - INFO: Epoch 1424/9999, Iter 71160: Loss = 0.01642812043428421, lr = [5e-05] +[2024-05-16 15:11:01,804] - INFO: Epoch 1424/9999, Iter 71180: Loss = 0.01239368412643671, lr = [5e-05] +[2024-05-16 15:11:21,087] - INFO: Epoch 1425/9999, Iter 71200: Loss = 0.013650110922753811, lr = [5e-05] +[2024-05-16 15:11:39,269] - INFO: Epoch 1425/9999, Iter 71220: Loss = 0.010954441502690315, lr = [5e-05] +[2024-05-16 15:11:56,580] - INFO: Epoch 1425/9999, Iter 71240: Loss = 0.012507420033216476, lr = [5e-05] +[2024-05-16 15:12:04,252] - INFO: Evaluate at epoch 1425! +[2024-05-16 15:12:14,825] - INFO: Eval PSNR (max): 37.939 (1425) SSIM (max): 0.9607 (1425) +[2024-05-16 15:12:14,826] - INFO: Eval PSNR (current): 37.939 (1425) SSIM (current): 0.9607 (1425) +[2024-05-16 15:12:14,826] - INFO: Evaluation over. +[2024-05-16 15:12:29,329] - INFO: Epoch 1426/9999, Iter 71260: Loss = 0.00884377770125866, lr = [5e-05] +[2024-05-16 15:12:47,720] - INFO: Epoch 1426/9999, Iter 71280: Loss = 0.012014925479888916, lr = [5e-05] +[2024-05-16 15:13:06,983] - INFO: Epoch 1427/9999, Iter 71300: Loss = 0.017686158418655396, lr = [5e-05] +[2024-05-16 15:13:25,359] - INFO: Epoch 1427/9999, Iter 71320: Loss = 0.015417302027344704, lr = [5e-05] +[2024-05-16 15:13:42,824] - INFO: Epoch 1427/9999, Iter 71340: Loss = 0.009831408970057964, lr = [5e-05] +[2024-05-16 15:14:01,865] - INFO: Epoch 1428/9999, Iter 71360: Loss = 0.01164556760340929, lr = [5e-05] +[2024-05-16 15:14:18,445] - INFO: Epoch 1428/9999, Iter 71380: Loss = 0.011972779408097267, lr = [5e-05] +[2024-05-16 15:14:38,119] - INFO: Epoch 1429/9999, Iter 71400: Loss = 0.011960671283304691, lr = [5e-05] +[2024-05-16 15:14:55,459] - INFO: Epoch 1429/9999, Iter 71420: Loss = 0.01315998937934637, lr = [5e-05] +[2024-05-16 15:15:12,593] - INFO: Epoch 1429/9999, Iter 71440: Loss = 0.011736134998500347, lr = [5e-05] +[2024-05-16 15:15:32,361] - INFO: Epoch 1430/9999, Iter 71460: Loss = 0.01144122239202261, lr = [5e-05] +[2024-05-16 15:15:50,008] - INFO: Epoch 1430/9999, Iter 71480: Loss = 0.008115559816360474, lr = [5e-05] +[2024-05-16 15:16:06,531] - INFO: Evaluate at epoch 1430! +[2024-05-16 15:16:10,421] - INFO: Eval PSNR (max): 37.939 (1425) SSIM (max): 0.9607 (1425) +[2024-05-16 15:16:10,421] - INFO: Eval PSNR (current): 37.884 (1430) SSIM (current): 0.9605 (1430) +[2024-05-16 15:16:10,421] - INFO: Evaluation over. +[2024-05-16 15:16:16,204] - INFO: Epoch 1431/9999, Iter 71500: Loss = 0.010953618213534355, lr = [5e-05] +[2024-05-16 15:16:34,040] - INFO: Epoch 1431/9999, Iter 71520: Loss = 0.014093405567109585, lr = [5e-05] +[2024-05-16 15:16:51,711] - INFO: Epoch 1431/9999, Iter 71540: Loss = 0.015700040385127068, lr = [5e-05] +[2024-05-16 15:17:10,590] - INFO: Epoch 1432/9999, Iter 71560: Loss = 0.014971134252846241, lr = [5e-05] +[2024-05-16 15:17:27,664] - INFO: Epoch 1432/9999, Iter 71580: Loss = 0.011621044017374516, lr = [5e-05] +[2024-05-16 15:17:47,325] - INFO: Epoch 1433/9999, Iter 71600: Loss = 0.00848990585654974, lr = [5e-05] +[2024-05-16 15:18:04,951] - INFO: Epoch 1433/9999, Iter 71620: Loss = 0.015482867136597633, lr = [5e-05] +[2024-05-16 15:18:22,384] - INFO: Epoch 1433/9999, Iter 71640: Loss = 0.016524409875273705, lr = [5e-05] +[2024-05-16 15:18:41,349] - INFO: Epoch 1434/9999, Iter 71660: Loss = 0.01235535740852356, lr = [5e-05] +[2024-05-16 15:18:59,522] - INFO: Epoch 1434/9999, Iter 71680: Loss = 0.01661771908402443, lr = [5e-05] +[2024-05-16 15:19:18,820] - INFO: Epoch 1435/9999, Iter 71700: Loss = 0.013754659332334995, lr = [5e-05] +[2024-05-16 15:19:36,690] - INFO: Epoch 1435/9999, Iter 71720: Loss = 0.01236569881439209, lr = [5e-05] +[2024-05-16 15:19:54,550] - INFO: Epoch 1435/9999, Iter 71740: Loss = 0.013041258789598942, lr = [5e-05] +[2024-05-16 15:20:02,180] - INFO: Evaluate at epoch 1435! +[2024-05-16 15:20:05,844] - INFO: Eval PSNR (max): 37.939 (1425) SSIM (max): 0.9607 (1425) +[2024-05-16 15:20:05,844] - INFO: Eval PSNR (current): 37.894 (1435) SSIM (current): 0.9605 (1435) +[2024-05-16 15:20:05,844] - INFO: Evaluation over. +[2024-05-16 15:20:20,247] - INFO: Epoch 1436/9999, Iter 71760: Loss = 0.01104551088064909, lr = [5e-05] +[2024-05-16 15:20:38,808] - INFO: Epoch 1436/9999, Iter 71780: Loss = 0.00877265352755785, lr = [5e-05] +[2024-05-16 15:20:57,184] - INFO: Epoch 1437/9999, Iter 71800: Loss = 0.010727647691965103, lr = [5e-05] +[2024-05-16 15:21:15,410] - INFO: Epoch 1437/9999, Iter 71820: Loss = 0.015187453478574753, lr = [5e-05] +[2024-05-16 15:21:33,500] - INFO: Epoch 1437/9999, Iter 71840: Loss = 0.010466006584465504, lr = [5e-05] +[2024-05-16 15:21:52,032] - INFO: Epoch 1438/9999, Iter 71860: Loss = 0.00914736557751894, lr = [5e-05] +[2024-05-16 15:22:10,217] - INFO: Epoch 1438/9999, Iter 71880: Loss = 0.013738195411860943, lr = [5e-05] +[2024-05-16 15:22:29,431] - INFO: Epoch 1439/9999, Iter 71900: Loss = 0.007938825525343418, lr = [5e-05] +[2024-05-16 15:22:47,700] - INFO: Epoch 1439/9999, Iter 71920: Loss = 0.009862273000180721, lr = [5e-05] +[2024-05-16 15:23:05,402] - INFO: Epoch 1439/9999, Iter 71940: Loss = 0.010954645462334156, lr = [5e-05] +[2024-05-16 15:23:24,443] - INFO: Epoch 1440/9999, Iter 71960: Loss = 0.012221687473356724, lr = [5e-05] +[2024-05-16 15:23:42,580] - INFO: Epoch 1440/9999, Iter 71980: Loss = 0.014466976746916771, lr = [5e-05] +[2024-05-16 15:23:58,826] - INFO: Evaluate at epoch 1440! +[2024-05-16 15:24:02,268] - INFO: Eval PSNR (max): 37.939 (1425) SSIM (max): 0.9607 (1425) +[2024-05-16 15:24:02,268] - INFO: Eval PSNR (current): 37.928 (1440) SSIM (current): 0.9606 (1440) +[2024-05-16 15:24:02,268] - INFO: Evaluation over. +[2024-05-16 15:24:08,250] - INFO: Epoch 1441/9999, Iter 72000: Loss = 0.011023038066923618, lr = [5e-05] +[2024-05-16 15:24:25,985] - INFO: Epoch 1441/9999, Iter 72020: Loss = 0.012591440230607986, lr = [5e-05] +[2024-05-16 15:24:43,908] - INFO: Epoch 1441/9999, Iter 72040: Loss = 0.011967114172875881, lr = [5e-05] +[2024-05-16 15:25:03,218] - INFO: Epoch 1442/9999, Iter 72060: Loss = 0.00787983275949955, lr = [5e-05] +[2024-05-16 15:25:21,391] - INFO: Epoch 1442/9999, Iter 72080: Loss = 0.014727569185197353, lr = [5e-05] +[2024-05-16 15:25:40,149] - INFO: Epoch 1443/9999, Iter 72100: Loss = 0.013215513899922371, lr = [5e-05] +[2024-05-16 15:25:58,489] - INFO: Epoch 1443/9999, Iter 72120: Loss = 0.013374797068536282, lr = [5e-05] +[2024-05-16 15:26:15,900] - INFO: Epoch 1443/9999, Iter 72140: Loss = 0.012709598988294601, lr = [5e-05] +[2024-05-16 15:26:34,511] - INFO: Epoch 1444/9999, Iter 72160: Loss = 0.012228608131408691, lr = [5e-05] +[2024-05-16 15:26:52,272] - INFO: Epoch 1444/9999, Iter 72180: Loss = 0.011047844775021076, lr = [5e-05] +[2024-05-16 15:27:11,024] - INFO: Epoch 1445/9999, Iter 72200: Loss = 0.010833341628313065, lr = [5e-05] +[2024-05-16 15:27:29,050] - INFO: Epoch 1445/9999, Iter 72220: Loss = 0.011506288312375546, lr = [5e-05] +[2024-05-16 15:27:47,226] - INFO: Epoch 1445/9999, Iter 72240: Loss = 0.016857467591762543, lr = [5e-05] +[2024-05-16 15:27:54,685] - INFO: Evaluate at epoch 1445! +[2024-05-16 15:27:58,190] - INFO: Eval PSNR (max): 37.939 (1425) SSIM (max): 0.9607 (1425) +[2024-05-16 15:27:58,190] - INFO: Eval PSNR (current): 37.894 (1445) SSIM (current): 0.9604 (1445) +[2024-05-16 15:27:58,190] - INFO: Evaluation over. +[2024-05-16 15:28:12,636] - INFO: Epoch 1446/9999, Iter 72260: Loss = 0.01613992638885975, lr = [5e-05] +[2024-05-16 15:28:29,759] - INFO: Epoch 1446/9999, Iter 72280: Loss = 0.013681153766810894, lr = [5e-05] +[2024-05-16 15:28:49,056] - INFO: Epoch 1447/9999, Iter 72300: Loss = 0.01532819028943777, lr = [5e-05] +[2024-05-16 15:29:06,671] - INFO: Epoch 1447/9999, Iter 72320: Loss = 0.010557048954069614, lr = [5e-05] +[2024-05-16 15:29:23,928] - INFO: Epoch 1447/9999, Iter 72340: Loss = 0.011134915985167027, lr = [5e-05] +[2024-05-16 15:29:43,844] - INFO: Epoch 1448/9999, Iter 72360: Loss = 0.01630227454006672, lr = [5e-05] +[2024-05-16 15:30:01,935] - INFO: Epoch 1448/9999, Iter 72380: Loss = 0.012079560197889805, lr = [5e-05] +[2024-05-16 15:30:20,628] - INFO: Epoch 1449/9999, Iter 72400: Loss = 0.01784810796380043, lr = [5e-05] +[2024-05-16 15:30:38,437] - INFO: Epoch 1449/9999, Iter 72420: Loss = 0.01612776704132557, lr = [5e-05] +[2024-05-16 15:30:56,443] - INFO: Epoch 1449/9999, Iter 72440: Loss = 0.014917640946805477, lr = [5e-05] +[2024-05-16 15:31:14,912] - INFO: Epoch 1450/9999, Iter 72460: Loss = 0.014621628448367119, lr = [5e-05] +[2024-05-16 15:31:32,082] - INFO: Epoch 1450/9999, Iter 72480: Loss = 0.01076772902160883, lr = [5e-05] +[2024-05-16 15:31:48,472] - INFO: Evaluate at epoch 1450! +[2024-05-16 15:31:52,105] - INFO: Eval PSNR (max): 37.939 (1425) SSIM (max): 0.9607 (1425) +[2024-05-16 15:31:52,106] - INFO: Eval PSNR (current): 37.893 (1450) SSIM (current): 0.9604 (1450) +[2024-05-16 15:31:52,106] - INFO: Evaluation over. +[2024-05-16 15:31:57,981] - INFO: Epoch 1451/9999, Iter 72500: Loss = 0.012218981049954891, lr = [5e-05] +[2024-05-16 15:32:15,575] - INFO: Epoch 1451/9999, Iter 72520: Loss = 0.010964035987854004, lr = [5e-05] +[2024-05-16 15:32:33,560] - INFO: Epoch 1451/9999, Iter 72540: Loss = 0.014353574253618717, lr = [5e-05] +[2024-05-16 15:32:52,880] - INFO: Epoch 1452/9999, Iter 72560: Loss = 0.01905111037194729, lr = [5e-05] +[2024-05-16 15:33:11,064] - INFO: Epoch 1452/9999, Iter 72580: Loss = 0.012104460969567299, lr = [5e-05] +[2024-05-16 15:33:30,032] - INFO: Epoch 1453/9999, Iter 72600: Loss = 0.008238772861659527, lr = [5e-05] +[2024-05-16 15:33:47,912] - INFO: Epoch 1453/9999, Iter 72620: Loss = 0.01909281127154827, lr = [5e-05] +[2024-05-16 15:34:05,832] - INFO: Epoch 1453/9999, Iter 72640: Loss = 0.014559405855834484, lr = [5e-05] +[2024-05-16 15:34:25,252] - INFO: Epoch 1454/9999, Iter 72660: Loss = 0.01039399579167366, lr = [5e-05] +[2024-05-16 15:34:43,332] - INFO: Epoch 1454/9999, Iter 72680: Loss = 0.011013993993401527, lr = [5e-05] +[2024-05-16 15:35:02,016] - INFO: Epoch 1455/9999, Iter 72700: Loss = 0.0175833310931921, lr = [5e-05] +[2024-05-16 15:35:19,599] - INFO: Epoch 1455/9999, Iter 72720: Loss = 0.011968769133090973, lr = [5e-05] +[2024-05-16 15:35:37,399] - INFO: Epoch 1455/9999, Iter 72740: Loss = 0.011785653419792652, lr = [5e-05] +[2024-05-16 15:35:45,331] - INFO: Evaluate at epoch 1455! +[2024-05-16 15:35:48,970] - INFO: Eval PSNR (max): 37.939 (1425) SSIM (max): 0.9607 (1425) +[2024-05-16 15:35:48,970] - INFO: Eval PSNR (current): 37.781 (1455) SSIM (current): 0.9604 (1455) +[2024-05-16 15:35:48,970] - INFO: Evaluation over. +[2024-05-16 15:36:03,438] - INFO: Epoch 1456/9999, Iter 72760: Loss = 0.006972679868340492, lr = [5e-05] +[2024-05-16 15:36:21,856] - INFO: Epoch 1456/9999, Iter 72780: Loss = 0.012953829020261765, lr = [5e-05] +[2024-05-16 15:36:41,057] - INFO: Epoch 1457/9999, Iter 72800: Loss = 0.013914905488491058, lr = [5e-05] +[2024-05-16 15:36:58,710] - INFO: Epoch 1457/9999, Iter 72820: Loss = 0.014288713224232197, lr = [5e-05] +[2024-05-16 15:37:16,935] - INFO: Epoch 1457/9999, Iter 72840: Loss = 0.01559689361602068, lr = [5e-05] +[2024-05-16 15:37:35,976] - INFO: Epoch 1458/9999, Iter 72860: Loss = 0.009393217042088509, lr = [5e-05] +[2024-05-16 15:37:54,071] - INFO: Epoch 1458/9999, Iter 72880: Loss = 0.015339154750108719, lr = [5e-05] +[2024-05-16 15:38:13,188] - INFO: Epoch 1459/9999, Iter 72900: Loss = 0.013190219178795815, lr = [5e-05] +[2024-05-16 15:38:30,923] - INFO: Epoch 1459/9999, Iter 72920: Loss = 0.013780470006167889, lr = [5e-05] +[2024-05-16 15:38:48,370] - INFO: Epoch 1459/9999, Iter 72940: Loss = 0.011475319974124432, lr = [5e-05] +[2024-05-16 15:39:06,928] - INFO: Epoch 1460/9999, Iter 72960: Loss = 0.008041197434067726, lr = [5e-05] +[2024-05-16 15:39:24,737] - INFO: Epoch 1460/9999, Iter 72980: Loss = 0.01511225663125515, lr = [5e-05] +[2024-05-16 15:39:41,516] - INFO: Evaluate at epoch 1460! +[2024-05-16 15:39:45,037] - INFO: Eval PSNR (max): 37.939 (1425) SSIM (max): 0.9607 (1425) +[2024-05-16 15:39:45,038] - INFO: Eval PSNR (current): 37.830 (1460) SSIM (current): 0.9605 (1460) +[2024-05-16 15:39:45,038] - INFO: Evaluation over. +[2024-05-16 15:39:51,320] - INFO: Epoch 1461/9999, Iter 73000: Loss = 0.009665880352258682, lr = [5e-05] +[2024-05-16 15:40:09,181] - INFO: Epoch 1461/9999, Iter 73020: Loss = 0.01255773939192295, lr = [5e-05] +[2024-05-16 15:40:27,048] - INFO: Epoch 1461/9999, Iter 73040: Loss = 0.01255290862172842, lr = [5e-05] +[2024-05-16 15:40:45,705] - INFO: Epoch 1462/9999, Iter 73060: Loss = 0.016616055741906166, lr = [5e-05] +[2024-05-16 15:41:03,795] - INFO: Epoch 1462/9999, Iter 73080: Loss = 0.015757868066430092, lr = [5e-05] +[2024-05-16 15:41:23,120] - INFO: Epoch 1463/9999, Iter 73100: Loss = 0.012671162374317646, lr = [5e-05] +[2024-05-16 15:41:40,956] - INFO: Epoch 1463/9999, Iter 73120: Loss = 0.012018753215670586, lr = [5e-05] +[2024-05-16 15:41:59,222] - INFO: Epoch 1463/9999, Iter 73140: Loss = 0.017024004831910133, lr = [5e-05] +[2024-05-16 15:42:17,865] - INFO: Epoch 1464/9999, Iter 73160: Loss = 0.016797933727502823, lr = [5e-05] +[2024-05-16 15:42:35,656] - INFO: Epoch 1464/9999, Iter 73180: Loss = 0.012720683589577675, lr = [5e-05] +[2024-05-16 15:42:54,588] - INFO: Epoch 1465/9999, Iter 73200: Loss = 0.012847186997532845, lr = [5e-05] +[2024-05-16 15:43:12,134] - INFO: Epoch 1465/9999, Iter 73220: Loss = 0.006920200772583485, lr = [5e-05] +[2024-05-16 15:43:29,122] - INFO: Epoch 1465/9999, Iter 73240: Loss = 0.009960494935512543, lr = [5e-05] +[2024-05-16 15:43:37,177] - INFO: Evaluate at epoch 1465! +[2024-05-16 15:43:40,657] - INFO: Eval PSNR (max): 37.939 (1425) SSIM (max): 0.9607 (1425) +[2024-05-16 15:43:40,657] - INFO: Eval PSNR (current): 37.782 (1465) SSIM (current): 0.9600 (1465) +[2024-05-16 15:43:40,658] - INFO: Evaluation over. +[2024-05-16 15:43:55,766] - INFO: Epoch 1466/9999, Iter 73260: Loss = 0.01332725677639246, lr = [5e-05] +[2024-05-16 15:44:13,176] - INFO: Epoch 1466/9999, Iter 73280: Loss = 0.015966298058629036, lr = [5e-05] +[2024-05-16 15:44:32,767] - INFO: Epoch 1467/9999, Iter 73300: Loss = 0.012211007066071033, lr = [5e-05] +[2024-05-16 15:44:50,579] - INFO: Epoch 1467/9999, Iter 73320: Loss = 0.016722513362765312, lr = [5e-05] +[2024-05-16 15:45:08,580] - INFO: Epoch 1467/9999, Iter 73340: Loss = 0.017684023827314377, lr = [5e-05] +[2024-05-16 15:45:27,590] - INFO: Epoch 1468/9999, Iter 73360: Loss = 0.014672229066491127, lr = [5e-05] +[2024-05-16 15:45:45,188] - INFO: Epoch 1468/9999, Iter 73380: Loss = 0.012295116670429707, lr = [5e-05] +[2024-05-16 15:46:04,444] - INFO: Epoch 1469/9999, Iter 73400: Loss = 0.012741614133119583, lr = [5e-05] +[2024-05-16 15:46:22,488] - INFO: Epoch 1469/9999, Iter 73420: Loss = 0.012768849730491638, lr = [5e-05] +[2024-05-16 15:46:39,890] - INFO: Epoch 1469/9999, Iter 73440: Loss = 0.015051938593387604, lr = [5e-05] +[2024-05-16 15:46:59,433] - INFO: Epoch 1470/9999, Iter 73460: Loss = 0.012473644688725471, lr = [5e-05] +[2024-05-16 15:47:17,280] - INFO: Epoch 1470/9999, Iter 73480: Loss = 0.008586185052990913, lr = [5e-05] +[2024-05-16 15:47:33,969] - INFO: Evaluate at epoch 1470! +[2024-05-16 15:47:37,643] - INFO: Eval PSNR (max): 37.939 (1425) SSIM (max): 0.9607 (1425) +[2024-05-16 15:47:37,644] - INFO: Eval PSNR (current): 37.877 (1470) SSIM (current): 0.9605 (1470) +[2024-05-16 15:47:37,644] - INFO: Evaluation over. +[2024-05-16 15:47:43,476] - INFO: Epoch 1471/9999, Iter 73500: Loss = 0.010868639685213566, lr = [5e-05] +[2024-05-16 15:48:01,668] - INFO: Epoch 1471/9999, Iter 73520: Loss = 0.017096104100346565, lr = [5e-05] +[2024-05-16 15:48:19,608] - INFO: Epoch 1471/9999, Iter 73540: Loss = 0.011685002595186234, lr = [5e-05] +[2024-05-16 15:48:38,065] - INFO: Epoch 1472/9999, Iter 73560: Loss = 0.00948246754705906, lr = [5e-05] +[2024-05-16 15:48:56,174] - INFO: Epoch 1472/9999, Iter 73580: Loss = 0.016413124278187752, lr = [5e-05] +[2024-05-16 15:49:14,874] - INFO: Epoch 1473/9999, Iter 73600: Loss = 0.016362635418772697, lr = [5e-05] +[2024-05-16 15:49:32,206] - INFO: Epoch 1473/9999, Iter 73620: Loss = 0.012163475155830383, lr = [5e-05] +[2024-05-16 15:49:49,971] - INFO: Epoch 1473/9999, Iter 73640: Loss = 0.012990487739443779, lr = [5e-05] +[2024-05-16 15:50:08,714] - INFO: Epoch 1474/9999, Iter 73660: Loss = 0.015129071660339832, lr = [5e-05] +[2024-05-16 15:50:26,937] - INFO: Epoch 1474/9999, Iter 73680: Loss = 0.014425160363316536, lr = [5e-05] +[2024-05-16 15:50:46,264] - INFO: Epoch 1475/9999, Iter 73700: Loss = 0.01382483635097742, lr = [5e-05] +[2024-05-16 15:51:03,619] - INFO: Epoch 1475/9999, Iter 73720: Loss = 0.00922427885234356, lr = [5e-05] +[2024-05-16 15:51:21,224] - INFO: Epoch 1475/9999, Iter 73740: Loss = 0.014600436203181744, lr = [5e-05] +[2024-05-16 15:51:29,157] - INFO: Evaluate at epoch 1475! +[2024-05-16 15:51:32,706] - INFO: Eval PSNR (max): 37.939 (1425) SSIM (max): 0.9607 (1425) +[2024-05-16 15:51:32,706] - INFO: Eval PSNR (current): 37.904 (1475) SSIM (current): 0.9605 (1475) +[2024-05-16 15:51:32,706] - INFO: Evaluation over. +[2024-05-16 15:51:47,629] - INFO: Epoch 1476/9999, Iter 73760: Loss = 0.008752218447625637, lr = [5e-05] +[2024-05-16 15:52:05,272] - INFO: Epoch 1476/9999, Iter 73780: Loss = 0.012525814585387707, lr = [5e-05] +[2024-05-16 15:52:24,601] - INFO: Epoch 1477/9999, Iter 73800: Loss = 0.008193504065275192, lr = [5e-05] +[2024-05-16 15:52:42,245] - INFO: Epoch 1477/9999, Iter 73820: Loss = 0.009019850753247738, lr = [5e-05] +[2024-05-16 15:53:00,040] - INFO: Epoch 1477/9999, Iter 73840: Loss = 0.01361929252743721, lr = [5e-05] +[2024-05-16 15:53:19,430] - INFO: Epoch 1478/9999, Iter 73860: Loss = 0.01406283862888813, lr = [5e-05] +[2024-05-16 15:53:37,580] - INFO: Epoch 1478/9999, Iter 73880: Loss = 0.01316220685839653, lr = [5e-05] +[2024-05-16 15:53:55,860] - INFO: Epoch 1479/9999, Iter 73900: Loss = 0.0162566676735878, lr = [5e-05] +[2024-05-16 15:54:13,156] - INFO: Epoch 1479/9999, Iter 73920: Loss = 0.012083620764315128, lr = [5e-05] +[2024-05-16 15:54:30,456] - INFO: Epoch 1479/9999, Iter 73940: Loss = 0.010140815749764442, lr = [5e-05] +[2024-05-16 15:54:49,624] - INFO: Epoch 1480/9999, Iter 73960: Loss = 0.011132492683827877, lr = [5e-05] +[2024-05-16 15:55:06,151] - INFO: Epoch 1480/9999, Iter 73980: Loss = 0.015619843266904354, lr = [5e-05] +[2024-05-16 15:55:23,029] - INFO: Evaluate at epoch 1480! +[2024-05-16 15:55:26,529] - INFO: Eval PSNR (max): 37.939 (1425) SSIM (max): 0.9607 (1425) +[2024-05-16 15:55:26,529] - INFO: Eval PSNR (current): 37.897 (1480) SSIM (current): 0.9605 (1480) +[2024-05-16 15:55:26,529] - INFO: Evaluation over. +[2024-05-16 15:55:32,589] - INFO: Epoch 1481/9999, Iter 74000: Loss = 0.009674598462879658, lr = [5e-05] +[2024-05-16 15:55:50,502] - INFO: Epoch 1481/9999, Iter 74020: Loss = 0.00868296530097723, lr = [5e-05] +[2024-05-16 15:56:08,092] - INFO: Epoch 1481/9999, Iter 74040: Loss = 0.011698633432388306, lr = [5e-05] +[2024-05-16 15:56:26,992] - INFO: Epoch 1482/9999, Iter 74060: Loss = 0.017693031579256058, lr = [5e-05] +[2024-05-16 15:56:45,622] - INFO: Epoch 1482/9999, Iter 74080: Loss = 0.015373905189335346, lr = [5e-05] +[2024-05-16 15:57:04,393] - INFO: Epoch 1483/9999, Iter 74100: Loss = 0.01431217696517706, lr = [5e-05] +[2024-05-16 15:57:21,621] - INFO: Epoch 1483/9999, Iter 74120: Loss = 0.010121134109795094, lr = [5e-05] +[2024-05-16 15:57:39,330] - INFO: Epoch 1483/9999, Iter 74140: Loss = 0.012951903976500034, lr = [5e-05] +[2024-05-16 15:57:58,702] - INFO: Epoch 1484/9999, Iter 74160: Loss = 0.014693142846226692, lr = [5e-05] +[2024-05-16 15:58:16,404] - INFO: Epoch 1484/9999, Iter 74180: Loss = 0.013024140149354935, lr = [5e-05] +[2024-05-16 15:58:35,618] - INFO: Epoch 1485/9999, Iter 74200: Loss = 0.019707150757312775, lr = [5e-05] +[2024-05-16 15:58:53,452] - INFO: Epoch 1485/9999, Iter 74220: Loss = 0.013417215086519718, lr = [5e-05] +[2024-05-16 15:59:11,000] - INFO: Epoch 1485/9999, Iter 74240: Loss = 0.015796896070241928, lr = [5e-05] +[2024-05-16 15:59:18,951] - INFO: Evaluate at epoch 1485! +[2024-05-16 15:59:22,388] - INFO: Eval PSNR (max): 37.939 (1425) SSIM (max): 0.9607 (1425) +[2024-05-16 15:59:22,388] - INFO: Eval PSNR (current): 37.878 (1485) SSIM (current): 0.9604 (1485) +[2024-05-16 15:59:22,388] - INFO: Evaluation over. +[2024-05-16 15:59:37,191] - INFO: Epoch 1486/9999, Iter 74260: Loss = 0.011569084599614143, lr = [5e-05] +[2024-05-16 15:59:54,838] - INFO: Epoch 1486/9999, Iter 74280: Loss = 0.014246371574699879, lr = [5e-05] +[2024-05-16 16:00:14,432] - INFO: Epoch 1487/9999, Iter 74300: Loss = 0.013146174140274525, lr = [5e-05] +[2024-05-16 16:00:32,392] - INFO: Epoch 1487/9999, Iter 74320: Loss = 0.013310697861015797, lr = [5e-05] +[2024-05-16 16:00:50,145] - INFO: Epoch 1487/9999, Iter 74340: Loss = 0.014605842530727386, lr = [5e-05] +[2024-05-16 16:01:09,227] - INFO: Epoch 1488/9999, Iter 74360: Loss = 0.008157518692314625, lr = [5e-05] +[2024-05-16 16:01:27,324] - INFO: Epoch 1488/9999, Iter 74380: Loss = 0.0152210034430027, lr = [5e-05] +[2024-05-16 16:01:46,276] - INFO: Epoch 1489/9999, Iter 74400: Loss = 0.014829110354185104, lr = [5e-05] +[2024-05-16 16:02:04,419] - INFO: Epoch 1489/9999, Iter 74420: Loss = 0.014808932319283485, lr = [5e-05] +[2024-05-16 16:02:22,123] - INFO: Epoch 1489/9999, Iter 74440: Loss = 0.016621183604002, lr = [5e-05] +[2024-05-16 16:02:40,372] - INFO: Epoch 1490/9999, Iter 74460: Loss = 0.016691315919160843, lr = [5e-05] +[2024-05-16 16:02:57,967] - INFO: Epoch 1490/9999, Iter 74480: Loss = 0.013279681093990803, lr = [5e-05] +[2024-05-16 16:03:14,839] - INFO: Evaluate at epoch 1490! +[2024-05-16 16:03:18,693] - INFO: Eval PSNR (max): 37.939 (1425) SSIM (max): 0.9607 (1425) +[2024-05-16 16:03:18,694] - INFO: Eval PSNR (current): 37.868 (1490) SSIM (current): 0.9604 (1490) +[2024-05-16 16:03:18,694] - INFO: Evaluation over. +[2024-05-16 16:03:24,967] - INFO: Epoch 1491/9999, Iter 74500: Loss = 0.01142972894012928, lr = [5e-05] +[2024-05-16 16:03:42,954] - INFO: Epoch 1491/9999, Iter 74520: Loss = 0.013009445741772652, lr = [5e-05] +[2024-05-16 16:04:00,508] - INFO: Epoch 1491/9999, Iter 74540: Loss = 0.017212307080626488, lr = [5e-05] +[2024-05-16 16:04:19,528] - INFO: Epoch 1492/9999, Iter 74560: Loss = 0.00881551206111908, lr = [5e-05] +[2024-05-16 16:04:36,265] - INFO: Epoch 1492/9999, Iter 74580: Loss = 0.010271278209984303, lr = [5e-05] +[2024-05-16 16:04:55,886] - INFO: Epoch 1493/9999, Iter 74600: Loss = 0.006858162581920624, lr = [5e-05] +[2024-05-16 16:05:13,504] - INFO: Epoch 1493/9999, Iter 74620: Loss = 0.009848290123045444, lr = [5e-05] +[2024-05-16 16:05:30,444] - INFO: Epoch 1493/9999, Iter 74640: Loss = 0.0155947869643569, lr = [5e-05] +[2024-05-16 16:05:49,847] - INFO: Epoch 1494/9999, Iter 74660: Loss = 0.011401664465665817, lr = [5e-05] +[2024-05-16 16:06:07,442] - INFO: Epoch 1494/9999, Iter 74680: Loss = 0.01155482605099678, lr = [5e-05] +[2024-05-16 16:06:27,316] - INFO: Epoch 1495/9999, Iter 74700: Loss = 0.008653726428747177, lr = [5e-05] +[2024-05-16 16:06:44,823] - INFO: Epoch 1495/9999, Iter 74720: Loss = 0.01285670418292284, lr = [5e-05] +[2024-05-16 16:07:02,624] - INFO: Epoch 1495/9999, Iter 74740: Loss = 0.009949258528649807, lr = [5e-05] +[2024-05-16 16:07:10,688] - INFO: Evaluate at epoch 1495! +[2024-05-16 16:07:14,138] - INFO: Eval PSNR (max): 37.939 (1425) SSIM (max): 0.9607 (1425) +[2024-05-16 16:07:14,138] - INFO: Eval PSNR (current): 37.883 (1495) SSIM (current): 0.9605 (1495) +[2024-05-16 16:07:14,138] - INFO: Evaluation over. +[2024-05-16 16:07:28,308] - INFO: Epoch 1496/9999, Iter 74760: Loss = 0.01384255662560463, lr = [5e-05] +[2024-05-16 16:07:45,740] - INFO: Epoch 1496/9999, Iter 74780: Loss = 0.011013037525117397, lr = [5e-05] +[2024-05-16 16:08:05,025] - INFO: Epoch 1497/9999, Iter 74800: Loss = 0.015498895198106766, lr = [5e-05] +[2024-05-16 16:08:22,693] - INFO: Epoch 1497/9999, Iter 74820: Loss = 0.015652969479560852, lr = [5e-05] +[2024-05-16 16:08:40,633] - INFO: Epoch 1497/9999, Iter 74840: Loss = 0.00882717128843069, lr = [5e-05] +[2024-05-16 16:08:59,744] - INFO: Epoch 1498/9999, Iter 74860: Loss = 0.01671910472214222, lr = [5e-05] +[2024-05-16 16:09:17,800] - INFO: Epoch 1498/9999, Iter 74880: Loss = 0.013405854813754559, lr = [5e-05] +[2024-05-16 16:09:36,519] - INFO: Epoch 1499/9999, Iter 74900: Loss = 0.013823498040437698, lr = [5e-05] +[2024-05-16 16:09:53,361] - INFO: Epoch 1499/9999, Iter 74920: Loss = 0.014533608220517635, lr = [5e-05] +[2024-05-16 16:10:10,806] - INFO: Epoch 1499/9999, Iter 74940: Loss = 0.01176727470010519, lr = [5e-05] +[2024-05-16 16:10:29,943] - INFO: Epoch 1500/9999, Iter 74960: Loss = 0.016105443239212036, lr = [5e-05] +[2024-05-16 16:10:47,284] - INFO: Epoch 1500/9999, Iter 74980: Loss = 0.00857884343713522, lr = [5e-05] +[2024-05-16 16:11:03,217] - INFO: Evaluate at epoch 1500! +[2024-05-16 16:11:06,655] - INFO: Eval PSNR (max): 37.939 (1425) SSIM (max): 0.9607 (1425) +[2024-05-16 16:11:06,655] - INFO: Eval PSNR (current): 37.873 (1500) SSIM (current): 0.9605 (1500) +[2024-05-16 16:11:06,655] - INFO: Evaluation over. +[2024-05-16 16:11:12,763] - INFO: Epoch 1501/9999, Iter 75000: Loss = 0.01568681187927723, lr = [2.5e-05] +[2024-05-16 16:11:31,244] - INFO: Epoch 1501/9999, Iter 75020: Loss = 0.012270408682525158, lr = [2.5e-05] +[2024-05-16 16:11:48,639] - INFO: Epoch 1501/9999, Iter 75040: Loss = 0.0107576884329319, lr = [2.5e-05] +[2024-05-16 16:12:07,339] - INFO: Epoch 1502/9999, Iter 75060: Loss = 0.014280932955443859, lr = [2.5e-05] +[2024-05-16 16:12:24,993] - INFO: Epoch 1502/9999, Iter 75080: Loss = 0.007178755942732096, lr = [2.5e-05] +[2024-05-16 16:12:44,019] - INFO: Epoch 1503/9999, Iter 75100: Loss = 0.01867601089179516, lr = [2.5e-05] +[2024-05-16 16:13:01,975] - INFO: Epoch 1503/9999, Iter 75120: Loss = 0.012631678022444248, lr = [2.5e-05] +[2024-05-16 16:13:19,691] - INFO: Epoch 1503/9999, Iter 75140: Loss = 0.012158641591668129, lr = [2.5e-05] +[2024-05-16 16:13:38,542] - INFO: Epoch 1504/9999, Iter 75160: Loss = 0.012082172557711601, lr = [2.5e-05] +[2024-05-16 16:13:56,824] - INFO: Epoch 1504/9999, Iter 75180: Loss = 0.016157492995262146, lr = [2.5e-05] +[2024-05-16 16:14:15,287] - INFO: Epoch 1505/9999, Iter 75200: Loss = 0.01120327040553093, lr = [2.5e-05] +[2024-05-16 16:14:33,456] - INFO: Epoch 1505/9999, Iter 75220: Loss = 0.02447834238409996, lr = [2.5e-05] +[2024-05-16 16:14:50,955] - INFO: Epoch 1505/9999, Iter 75240: Loss = 0.008611910045146942, lr = [2.5e-05] +[2024-05-16 16:14:58,769] - INFO: Evaluate at epoch 1505! +[2024-05-16 16:15:02,258] - INFO: Eval PSNR (max): 37.939 (1425) SSIM (max): 0.9607 (1425) +[2024-05-16 16:15:02,258] - INFO: Eval PSNR (current): 37.931 (1505) SSIM (current): 0.9606 (1505) +[2024-05-16 16:15:02,258] - INFO: Evaluation over. +[2024-05-16 16:15:17,035] - INFO: Epoch 1506/9999, Iter 75260: Loss = 0.00994044542312622, lr = [2.5e-05] +[2024-05-16 16:15:34,661] - INFO: Epoch 1506/9999, Iter 75280: Loss = 0.011887792497873306, lr = [2.5e-05] +[2024-05-16 16:15:54,096] - INFO: Epoch 1507/9999, Iter 75300: Loss = 0.010767530649900436, lr = [2.5e-05] +[2024-05-16 16:16:12,524] - INFO: Epoch 1507/9999, Iter 75320: Loss = 0.012502838857471943, lr = [2.5e-05] +[2024-05-16 16:16:30,553] - INFO: Epoch 1507/9999, Iter 75340: Loss = 0.014517901465296745, lr = [2.5e-05] +[2024-05-16 16:16:49,496] - INFO: Epoch 1508/9999, Iter 75360: Loss = 0.019822033122181892, lr = [2.5e-05] +[2024-05-16 16:17:07,384] - INFO: Epoch 1508/9999, Iter 75380: Loss = 0.008637415245175362, lr = [2.5e-05] +[2024-05-16 16:17:26,356] - INFO: Epoch 1509/9999, Iter 75400: Loss = 0.0136222830042243, lr = [2.5e-05] +[2024-05-16 16:17:44,235] - INFO: Epoch 1509/9999, Iter 75420: Loss = 0.014698141254484653, lr = [2.5e-05] +[2024-05-16 16:18:01,004] - INFO: Epoch 1509/9999, Iter 75440: Loss = 0.012729035690426826, lr = [2.5e-05] +[2024-05-16 16:18:19,990] - INFO: Epoch 1510/9999, Iter 75460: Loss = 0.012888447381556034, lr = [2.5e-05] +[2024-05-16 16:18:37,609] - INFO: Epoch 1510/9999, Iter 75480: Loss = 0.013552396558225155, lr = [2.5e-05] +[2024-05-16 16:18:54,453] - INFO: Evaluate at epoch 1510! +[2024-05-16 16:19:02,057] - INFO: Eval PSNR (max): 37.950 (1510) SSIM (max): 0.9607 (1425) +[2024-05-16 16:19:02,057] - INFO: Eval PSNR (current): 37.950 (1510) SSIM (current): 0.9606 (1510) +[2024-05-16 16:19:02,057] - INFO: Evaluation over. +[2024-05-16 16:19:08,155] - INFO: Epoch 1511/9999, Iter 75500: Loss = 0.013481654226779938, lr = [2.5e-05] +[2024-05-16 16:19:26,197] - INFO: Epoch 1511/9999, Iter 75520: Loss = 0.01036420464515686, lr = [2.5e-05] +[2024-05-16 16:19:44,590] - INFO: Epoch 1511/9999, Iter 75540: Loss = 0.015398229472339153, lr = [2.5e-05] +[2024-05-16 16:20:03,111] - INFO: Epoch 1512/9999, Iter 75560: Loss = 0.012191017158329487, lr = [2.5e-05] +[2024-05-16 16:20:20,448] - INFO: Epoch 1512/9999, Iter 75580: Loss = 0.010897663421928883, lr = [2.5e-05] +[2024-05-16 16:20:39,729] - INFO: Epoch 1513/9999, Iter 75600: Loss = 0.01976621150970459, lr = [2.5e-05] +[2024-05-16 16:20:57,070] - INFO: Epoch 1513/9999, Iter 75620: Loss = 0.01401547808200121, lr = [2.5e-05] +[2024-05-16 16:21:14,448] - INFO: Epoch 1513/9999, Iter 75640: Loss = 0.00922113936394453, lr = [2.5e-05] +[2024-05-16 16:21:33,304] - INFO: Epoch 1514/9999, Iter 75660: Loss = 0.010967236943542957, lr = [2.5e-05] +[2024-05-16 16:21:50,937] - INFO: Epoch 1514/9999, Iter 75680: Loss = 0.013781992718577385, lr = [2.5e-05] +[2024-05-16 16:22:09,864] - INFO: Epoch 1515/9999, Iter 75700: Loss = 0.013415221124887466, lr = [2.5e-05] +[2024-05-16 16:22:27,184] - INFO: Epoch 1515/9999, Iter 75720: Loss = 0.010912304744124413, lr = [2.5e-05] +[2024-05-16 16:22:45,162] - INFO: Epoch 1515/9999, Iter 75740: Loss = 0.010941076092422009, lr = [2.5e-05] +[2024-05-16 16:22:53,031] - INFO: Evaluate at epoch 1515! +[2024-05-16 16:22:56,746] - INFO: Eval PSNR (max): 37.950 (1510) SSIM (max): 0.9607 (1425) +[2024-05-16 16:22:56,746] - INFO: Eval PSNR (current): 37.912 (1515) SSIM (current): 0.9606 (1515) +[2024-05-16 16:22:56,746] - INFO: Evaluation over. +[2024-05-16 16:23:11,540] - INFO: Epoch 1516/9999, Iter 75760: Loss = 0.015300474129617214, lr = [2.5e-05] +[2024-05-16 16:23:29,972] - INFO: Epoch 1516/9999, Iter 75780: Loss = 0.014028779231011868, lr = [2.5e-05] +[2024-05-16 16:23:49,045] - INFO: Epoch 1517/9999, Iter 75800: Loss = 0.01644328609108925, lr = [2.5e-05] +[2024-05-16 16:24:06,832] - INFO: Epoch 1517/9999, Iter 75820: Loss = 0.015188689343631268, lr = [2.5e-05] +[2024-05-16 16:24:24,460] - INFO: Epoch 1517/9999, Iter 75840: Loss = 0.019801532849669456, lr = [2.5e-05] +[2024-05-16 16:24:43,143] - INFO: Epoch 1518/9999, Iter 75860: Loss = 0.01543879322707653, lr = [2.5e-05] +[2024-05-16 16:25:00,244] - INFO: Epoch 1518/9999, Iter 75880: Loss = 0.01436065323650837, lr = [2.5e-05] +[2024-05-16 16:25:19,379] - INFO: Epoch 1519/9999, Iter 75900: Loss = 0.014721370302140713, lr = [2.5e-05] +[2024-05-16 16:25:37,824] - INFO: Epoch 1519/9999, Iter 75920: Loss = 0.010502678342163563, lr = [2.5e-05] +[2024-05-16 16:25:55,768] - INFO: Epoch 1519/9999, Iter 75940: Loss = 0.013922499492764473, lr = [2.5e-05] +[2024-05-16 16:26:14,361] - INFO: Epoch 1520/9999, Iter 75960: Loss = 0.013473354279994965, lr = [2.5e-05] +[2024-05-16 16:26:32,040] - INFO: Epoch 1520/9999, Iter 75980: Loss = 0.01280328817665577, lr = [2.5e-05] +[2024-05-16 16:26:48,237] - INFO: Evaluate at epoch 1520! +[2024-05-16 16:26:55,696] - INFO: Eval PSNR (max): 37.950 (1510) SSIM (max): 0.9607 (1520) +[2024-05-16 16:26:55,696] - INFO: Eval PSNR (current): 37.948 (1520) SSIM (current): 0.9607 (1520) +[2024-05-16 16:26:55,696] - INFO: Evaluation over. +[2024-05-16 16:27:01,687] - INFO: Epoch 1521/9999, Iter 76000: Loss = 0.018380090594291687, lr = [2.5e-05] +[2024-05-16 16:27:18,424] - INFO: Epoch 1521/9999, Iter 76020: Loss = 0.01666964963078499, lr = [2.5e-05] +[2024-05-16 16:27:36,852] - INFO: Epoch 1521/9999, Iter 76040: Loss = 0.013893797993659973, lr = [2.5e-05] +[2024-05-16 16:27:55,390] - INFO: Epoch 1522/9999, Iter 76060: Loss = 0.013206124305725098, lr = [2.5e-05] +[2024-05-16 16:28:12,944] - INFO: Epoch 1522/9999, Iter 76080: Loss = 0.008496814407408237, lr = [2.5e-05] +[2024-05-16 16:28:32,073] - INFO: Epoch 1523/9999, Iter 76100: Loss = 0.016280610114336014, lr = [2.5e-05] +[2024-05-16 16:28:49,629] - INFO: Epoch 1523/9999, Iter 76120: Loss = 0.009748575277626514, lr = [2.5e-05] +[2024-05-16 16:29:07,081] - INFO: Epoch 1523/9999, Iter 76140: Loss = 0.012535609304904938, lr = [2.5e-05] +[2024-05-16 16:29:25,856] - INFO: Epoch 1524/9999, Iter 76160: Loss = 0.009073639288544655, lr = [2.5e-05] +[2024-05-16 16:29:43,224] - INFO: Epoch 1524/9999, Iter 76180: Loss = 0.008015120401978493, lr = [2.5e-05] +[2024-05-16 16:30:01,859] - INFO: Epoch 1525/9999, Iter 76200: Loss = 0.012577472254633904, lr = [2.5e-05] +[2024-05-16 16:30:18,737] - INFO: Epoch 1525/9999, Iter 76220: Loss = 0.011528740637004375, lr = [2.5e-05] +[2024-05-16 16:30:36,047] - INFO: Epoch 1525/9999, Iter 76240: Loss = 0.011810995638370514, lr = [2.5e-05] +[2024-05-16 16:30:44,396] - INFO: Evaluate at epoch 1525! +[2024-05-16 16:30:47,971] - INFO: Eval PSNR (max): 37.950 (1510) SSIM (max): 0.9607 (1520) +[2024-05-16 16:30:47,972] - INFO: Eval PSNR (current): 37.921 (1525) SSIM (current): 0.9605 (1525) +[2024-05-16 16:30:47,972] - INFO: Evaluation over. +[2024-05-16 16:31:02,705] - INFO: Epoch 1526/9999, Iter 76260: Loss = 0.00960435252636671, lr = [2.5e-05] +[2024-05-16 16:31:20,351] - INFO: Epoch 1526/9999, Iter 76280: Loss = 0.009943732991814613, lr = [2.5e-05] +[2024-05-16 16:31:39,420] - INFO: Epoch 1527/9999, Iter 76300: Loss = 0.014804698526859283, lr = [2.5e-05] +[2024-05-16 16:31:57,664] - INFO: Epoch 1527/9999, Iter 76320: Loss = 0.013138082809746265, lr = [2.5e-05] +[2024-05-16 16:32:14,585] - INFO: Epoch 1527/9999, Iter 76340: Loss = 0.014040297828614712, lr = [2.5e-05] +[2024-05-16 16:32:33,297] - INFO: Epoch 1528/9999, Iter 76360: Loss = 0.011472399346530437, lr = [2.5e-05] +[2024-05-16 16:32:50,210] - INFO: Epoch 1528/9999, Iter 76380: Loss = 0.014396780170500278, lr = [2.5e-05] +[2024-05-16 16:33:09,292] - INFO: Epoch 1529/9999, Iter 76400: Loss = 0.011445864103734493, lr = [2.5e-05] +[2024-05-16 16:33:26,767] - INFO: Epoch 1529/9999, Iter 76420: Loss = 0.0127179604023695, lr = [2.5e-05] +[2024-05-16 16:33:44,472] - INFO: Epoch 1529/9999, Iter 76440: Loss = 0.015202764421701431, lr = [2.5e-05] +[2024-05-16 16:34:03,402] - INFO: Epoch 1530/9999, Iter 76460: Loss = 0.01517593115568161, lr = [2.5e-05] +[2024-05-16 16:34:21,240] - INFO: Epoch 1530/9999, Iter 76480: Loss = 0.0159793421626091, lr = [2.5e-05] +[2024-05-16 16:34:38,007] - INFO: Evaluate at epoch 1530! +[2024-05-16 16:34:44,995] - INFO: Eval PSNR (max): 37.958 (1530) SSIM (max): 0.9607 (1520) +[2024-05-16 16:34:44,996] - INFO: Eval PSNR (current): 37.958 (1530) SSIM (current): 0.9606 (1530) +[2024-05-16 16:34:44,996] - INFO: Evaluation over. +[2024-05-16 16:34:51,037] - INFO: Epoch 1531/9999, Iter 76500: Loss = 0.010180110111832619, lr = [2.5e-05] +[2024-05-16 16:35:08,459] - INFO: Epoch 1531/9999, Iter 76520: Loss = 0.009370344690978527, lr = [2.5e-05] +[2024-05-16 16:35:25,500] - INFO: Epoch 1531/9999, Iter 76540: Loss = 0.012828225269913673, lr = [2.5e-05] +[2024-05-16 16:35:44,424] - INFO: Epoch 1532/9999, Iter 76560: Loss = 0.013998358510434628, lr = [2.5e-05] +[2024-05-16 16:36:01,649] - INFO: Epoch 1532/9999, Iter 76580: Loss = 0.018163956701755524, lr = [2.5e-05] +[2024-05-16 16:36:20,660] - INFO: Epoch 1533/9999, Iter 76600: Loss = 0.012133604846894741, lr = [2.5e-05] +[2024-05-16 16:36:38,630] - INFO: Epoch 1533/9999, Iter 76620: Loss = 0.011144403368234634, lr = [2.5e-05] +[2024-05-16 16:36:55,543] - INFO: Epoch 1533/9999, Iter 76640: Loss = 0.010255916975438595, lr = [2.5e-05] +[2024-05-16 16:37:14,810] - INFO: Epoch 1534/9999, Iter 76660: Loss = 0.0199295524507761, lr = [2.5e-05] +[2024-05-16 16:37:32,780] - INFO: Epoch 1534/9999, Iter 76680: Loss = 0.009412109851837158, lr = [2.5e-05] +[2024-05-16 16:37:51,492] - INFO: Epoch 1535/9999, Iter 76700: Loss = 0.015484357252717018, lr = [2.5e-05] +[2024-05-16 16:38:09,090] - INFO: Epoch 1535/9999, Iter 76720: Loss = 0.01415941584855318, lr = [2.5e-05] +[2024-05-16 16:38:27,328] - INFO: Epoch 1535/9999, Iter 76740: Loss = 0.01659274846315384, lr = [2.5e-05] +[2024-05-16 16:38:34,952] - INFO: Evaluate at epoch 1535! +[2024-05-16 16:38:38,620] - INFO: Eval PSNR (max): 37.958 (1530) SSIM (max): 0.9607 (1520) +[2024-05-16 16:38:38,620] - INFO: Eval PSNR (current): 37.935 (1535) SSIM (current): 0.9606 (1535) +[2024-05-16 16:38:38,620] - INFO: Evaluation over. +[2024-05-16 16:38:53,476] - INFO: Epoch 1536/9999, Iter 76760: Loss = 0.01683039218187332, lr = [2.5e-05] +[2024-05-16 16:39:11,578] - INFO: Epoch 1536/9999, Iter 76780: Loss = 0.014086447656154633, lr = [2.5e-05] +[2024-05-16 16:39:30,412] - INFO: Epoch 1537/9999, Iter 76800: Loss = 0.012096680700778961, lr = [2.5e-05] +[2024-05-16 16:39:48,194] - INFO: Epoch 1537/9999, Iter 76820: Loss = 0.013080029748380184, lr = [2.5e-05] +[2024-05-16 16:40:06,164] - INFO: Epoch 1537/9999, Iter 76840: Loss = 0.009261962957680225, lr = [2.5e-05] +[2024-05-16 16:40:27,354] - INFO: Epoch 1538/9999, Iter 76860: Loss = 0.011672762222588062, lr = [2.5e-05] +[2024-05-16 16:40:45,005] - INFO: Epoch 1538/9999, Iter 76880: Loss = 0.017927702516317368, lr = [2.5e-05] +[2024-05-16 16:41:03,972] - INFO: Epoch 1539/9999, Iter 76900: Loss = 0.012384467758238316, lr = [2.5e-05] +[2024-05-16 16:41:21,970] - INFO: Epoch 1539/9999, Iter 76920: Loss = 0.011260004714131355, lr = [2.5e-05] +[2024-05-16 16:41:39,160] - INFO: Epoch 1539/9999, Iter 76940: Loss = 0.008692939765751362, lr = [2.5e-05] +[2024-05-16 16:41:57,354] - INFO: Epoch 1540/9999, Iter 76960: Loss = 0.007570280693471432, lr = [2.5e-05] +[2024-05-16 16:42:14,788] - INFO: Epoch 1540/9999, Iter 76980: Loss = 0.009337223134934902, lr = [2.5e-05] +[2024-05-16 16:42:31,430] - INFO: Evaluate at epoch 1540! +[2024-05-16 16:42:34,998] - INFO: Eval PSNR (max): 37.958 (1530) SSIM (max): 0.9607 (1520) +[2024-05-16 16:42:34,999] - INFO: Eval PSNR (current): 37.926 (1540) SSIM (current): 0.9606 (1540) +[2024-05-16 16:42:34,999] - INFO: Evaluation over. +[2024-05-16 16:42:40,800] - INFO: Epoch 1541/9999, Iter 77000: Loss = 0.009777011349797249, lr = [2.5e-05] +[2024-05-16 16:42:58,325] - INFO: Epoch 1541/9999, Iter 77020: Loss = 0.009248861111700535, lr = [2.5e-05] +[2024-05-16 16:43:15,740] - INFO: Epoch 1541/9999, Iter 77040: Loss = 0.012834955006837845, lr = [2.5e-05] +[2024-05-16 16:43:34,671] - INFO: Epoch 1542/9999, Iter 77060: Loss = 0.010232345201075077, lr = [2.5e-05] +[2024-05-16 16:43:51,840] - INFO: Epoch 1542/9999, Iter 77080: Loss = 0.01393966842442751, lr = [2.5e-05] +[2024-05-16 16:44:10,837] - INFO: Epoch 1543/9999, Iter 77100: Loss = 0.010455985553562641, lr = [2.5e-05] +[2024-05-16 16:44:28,912] - INFO: Epoch 1543/9999, Iter 77120: Loss = 0.011382998898625374, lr = [2.5e-05] +[2024-05-16 16:44:46,065] - INFO: Epoch 1543/9999, Iter 77140: Loss = 0.007716952823102474, lr = [2.5e-05] +[2024-05-16 16:45:05,128] - INFO: Epoch 1544/9999, Iter 77160: Loss = 0.011786924675107002, lr = [2.5e-05] +[2024-05-16 16:45:23,005] - INFO: Epoch 1544/9999, Iter 77180: Loss = 0.012790053151547909, lr = [2.5e-05] +[2024-05-16 16:45:42,010] - INFO: Epoch 1545/9999, Iter 77200: Loss = 0.01162171270698309, lr = [2.5e-05] +[2024-05-16 16:45:59,372] - INFO: Epoch 1545/9999, Iter 77220: Loss = 0.012954051606357098, lr = [2.5e-05] +[2024-05-16 16:46:17,797] - INFO: Epoch 1545/9999, Iter 77240: Loss = 0.014336262829601765, lr = [2.5e-05] +[2024-05-16 16:46:25,718] - INFO: Evaluate at epoch 1545! +[2024-05-16 16:46:29,326] - INFO: Eval PSNR (max): 37.958 (1530) SSIM (max): 0.9607 (1520) +[2024-05-16 16:46:29,326] - INFO: Eval PSNR (current): 37.930 (1545) SSIM (current): 0.9606 (1545) +[2024-05-16 16:46:29,327] - INFO: Evaluation over. +[2024-05-16 16:46:44,137] - INFO: Epoch 1546/9999, Iter 77260: Loss = 0.016646413132548332, lr = [2.5e-05] +[2024-05-16 16:47:01,518] - INFO: Epoch 1546/9999, Iter 77280: Loss = 0.019019175320863724, lr = [2.5e-05] +[2024-05-16 16:47:20,645] - INFO: Epoch 1547/9999, Iter 77300: Loss = 0.01227146852761507, lr = [2.5e-05] +[2024-05-16 16:47:38,426] - INFO: Epoch 1547/9999, Iter 77320: Loss = 0.010599588975310326, lr = [2.5e-05] +[2024-05-16 16:47:55,343] - INFO: Epoch 1547/9999, Iter 77340: Loss = 0.014851187355816364, lr = [2.5e-05] +[2024-05-16 16:48:13,869] - INFO: Epoch 1548/9999, Iter 77360: Loss = 0.018041089177131653, lr = [2.5e-05] +[2024-05-16 16:48:31,545] - INFO: Epoch 1548/9999, Iter 77380: Loss = 0.014128267765045166, lr = [2.5e-05] +[2024-05-16 16:48:50,501] - INFO: Epoch 1549/9999, Iter 77400: Loss = 0.009657581336796284, lr = [2.5e-05] +[2024-05-16 16:49:08,816] - INFO: Epoch 1549/9999, Iter 77420: Loss = 0.010022306814789772, lr = [2.5e-05] +[2024-05-16 16:49:26,876] - INFO: Epoch 1549/9999, Iter 77440: Loss = 0.008137870579957962, lr = [2.5e-05] +[2024-05-16 16:49:45,631] - INFO: Epoch 1550/9999, Iter 77460: Loss = 0.013859027065336704, lr = [2.5e-05] +[2024-05-16 16:50:03,574] - INFO: Epoch 1550/9999, Iter 77480: Loss = 0.011905786581337452, lr = [2.5e-05] +[2024-05-16 16:50:20,003] - INFO: Evaluate at epoch 1550! +[2024-05-16 16:50:23,411] - INFO: Eval PSNR (max): 37.958 (1530) SSIM (max): 0.9607 (1520) +[2024-05-16 16:50:23,411] - INFO: Eval PSNR (current): 37.917 (1550) SSIM (current): 0.9607 (1550) +[2024-05-16 16:50:23,411] - INFO: Evaluation over. +[2024-05-16 16:50:29,608] - INFO: Epoch 1551/9999, Iter 77500: Loss = 0.013608204200863838, lr = [2.5e-05] +[2024-05-16 16:50:47,614] - INFO: Epoch 1551/9999, Iter 77520: Loss = 0.01206545252352953, lr = [2.5e-05] +[2024-05-16 16:51:05,877] - INFO: Epoch 1551/9999, Iter 77540: Loss = 0.009753452613949776, lr = [2.5e-05] +[2024-05-16 16:51:24,460] - INFO: Epoch 1552/9999, Iter 77560: Loss = 0.013401374220848083, lr = [2.5e-05] +[2024-05-16 16:51:41,619] - INFO: Epoch 1552/9999, Iter 77580: Loss = 0.014563940465450287, lr = [2.5e-05] +[2024-05-16 16:52:00,244] - INFO: Epoch 1553/9999, Iter 77600: Loss = 0.01811378449201584, lr = [2.5e-05] +[2024-05-16 16:52:18,597] - INFO: Epoch 1553/9999, Iter 77620: Loss = 0.011255723424255848, lr = [2.5e-05] +[2024-05-16 16:52:35,612] - INFO: Epoch 1553/9999, Iter 77640: Loss = 0.008443398401141167, lr = [2.5e-05] +[2024-05-16 16:52:54,388] - INFO: Epoch 1554/9999, Iter 77660: Loss = 0.015294525772333145, lr = [2.5e-05] +[2024-05-16 16:53:11,676] - INFO: Epoch 1554/9999, Iter 77680: Loss = 0.01474397536367178, lr = [2.5e-05] +[2024-05-16 16:53:30,804] - INFO: Epoch 1555/9999, Iter 77700: Loss = 0.011074576526880264, lr = [2.5e-05] +[2024-05-16 16:53:49,072] - INFO: Epoch 1555/9999, Iter 77720: Loss = 0.01698344014585018, lr = [2.5e-05] +[2024-05-16 16:54:06,953] - INFO: Epoch 1555/9999, Iter 77740: Loss = 0.014662036672234535, lr = [2.5e-05] +[2024-05-16 16:54:14,498] - INFO: Evaluate at epoch 1555! +[2024-05-16 16:54:17,889] - INFO: Eval PSNR (max): 37.958 (1530) SSIM (max): 0.9607 (1520) +[2024-05-16 16:54:17,889] - INFO: Eval PSNR (current): 37.928 (1555) SSIM (current): 0.9606 (1555) +[2024-05-16 16:54:17,889] - INFO: Evaluation over. +[2024-05-16 16:54:32,548] - INFO: Epoch 1556/9999, Iter 77760: Loss = 0.009483887813985348, lr = [2.5e-05] +[2024-05-16 16:54:49,833] - INFO: Epoch 1556/9999, Iter 77780: Loss = 0.011310897767543793, lr = [2.5e-05] +[2024-05-16 16:55:09,818] - INFO: Epoch 1557/9999, Iter 77800: Loss = 0.015003018081188202, lr = [2.5e-05] +[2024-05-16 16:55:27,632] - INFO: Epoch 1557/9999, Iter 77820: Loss = 0.010626758448779583, lr = [2.5e-05] +[2024-05-16 16:55:45,904] - INFO: Epoch 1557/9999, Iter 77840: Loss = 0.01252246368676424, lr = [2.5e-05] +[2024-05-16 16:56:04,416] - INFO: Epoch 1558/9999, Iter 77860: Loss = 0.013620935380458832, lr = [2.5e-05] +[2024-05-16 16:56:23,054] - INFO: Epoch 1558/9999, Iter 77880: Loss = 0.018476735800504684, lr = [2.5e-05] +[2024-05-16 16:56:42,109] - INFO: Epoch 1559/9999, Iter 77900: Loss = 0.014670765027403831, lr = [2.5e-05] +[2024-05-16 16:56:59,373] - INFO: Epoch 1559/9999, Iter 77920: Loss = 0.012478399090468884, lr = [2.5e-05] +[2024-05-16 16:57:18,004] - INFO: Epoch 1559/9999, Iter 77940: Loss = 0.012793458998203278, lr = [2.5e-05] +[2024-05-16 16:57:35,977] - INFO: Epoch 1560/9999, Iter 77960: Loss = 0.008581497706472874, lr = [2.5e-05] +[2024-05-16 16:57:53,512] - INFO: Epoch 1560/9999, Iter 77980: Loss = 0.010393715463578701, lr = [2.5e-05] +[2024-05-16 16:58:10,466] - INFO: Evaluate at epoch 1560! +[2024-05-16 16:58:13,898] - INFO: Eval PSNR (max): 37.958 (1530) SSIM (max): 0.9607 (1520) +[2024-05-16 16:58:13,898] - INFO: Eval PSNR (current): 37.923 (1560) SSIM (current): 0.9607 (1560) +[2024-05-16 16:58:13,898] - INFO: Evaluation over. +[2024-05-16 16:58:20,083] - INFO: Epoch 1561/9999, Iter 78000: Loss = 0.014386788941919804, lr = [2.5e-05] +[2024-05-16 16:58:37,771] - INFO: Epoch 1561/9999, Iter 78020: Loss = 0.017741015180945396, lr = [2.5e-05] +[2024-05-16 16:58:55,902] - INFO: Epoch 1561/9999, Iter 78040: Loss = 0.009937001392245293, lr = [2.5e-05] +[2024-05-16 16:59:15,374] - INFO: Epoch 1562/9999, Iter 78060: Loss = 0.01710611581802368, lr = [2.5e-05] +[2024-05-16 16:59:33,152] - INFO: Epoch 1562/9999, Iter 78080: Loss = 0.010601415298879147, lr = [2.5e-05] +[2024-05-16 16:59:51,541] - INFO: Epoch 1563/9999, Iter 78100: Loss = 0.010652458295226097, lr = [2.5e-05] +[2024-05-16 17:00:09,077] - INFO: Epoch 1563/9999, Iter 78120: Loss = 0.015093231573700905, lr = [2.5e-05] +[2024-05-16 17:00:26,683] - INFO: Epoch 1563/9999, Iter 78140: Loss = 0.015510517172515392, lr = [2.5e-05] +[2024-05-16 17:00:45,369] - INFO: Epoch 1564/9999, Iter 78160: Loss = 0.010436736047267914, lr = [2.5e-05] +[2024-05-16 17:01:02,780] - INFO: Epoch 1564/9999, Iter 78180: Loss = 0.0119003402069211, lr = [2.5e-05] +[2024-05-16 17:01:22,113] - INFO: Epoch 1565/9999, Iter 78200: Loss = 0.015508219599723816, lr = [2.5e-05] +[2024-05-16 17:01:39,324] - INFO: Epoch 1565/9999, Iter 78220: Loss = 0.016505351290106773, lr = [2.5e-05] +[2024-05-16 17:01:56,346] - INFO: Epoch 1565/9999, Iter 78240: Loss = 0.013650150038301945, lr = [2.5e-05] +[2024-05-16 17:02:04,515] - INFO: Evaluate at epoch 1565! +[2024-05-16 17:02:08,183] - INFO: Eval PSNR (max): 37.958 (1530) SSIM (max): 0.9607 (1520) +[2024-05-16 17:02:08,183] - INFO: Eval PSNR (current): 37.940 (1565) SSIM (current): 0.9606 (1565) +[2024-05-16 17:02:08,184] - INFO: Evaluation over. +[2024-05-16 17:02:23,185] - INFO: Epoch 1566/9999, Iter 78260: Loss = 0.013076222501695156, lr = [2.5e-05] +[2024-05-16 17:02:40,352] - INFO: Epoch 1566/9999, Iter 78280: Loss = 0.009998665191233158, lr = [2.5e-05] +[2024-05-16 17:02:59,683] - INFO: Epoch 1567/9999, Iter 78300: Loss = 0.020504752174019814, lr = [2.5e-05] +[2024-05-16 17:03:16,856] - INFO: Epoch 1567/9999, Iter 78320: Loss = 0.016157638281583786, lr = [2.5e-05] +[2024-05-16 17:03:34,724] - INFO: Epoch 1567/9999, Iter 78340: Loss = 0.020272184163331985, lr = [2.5e-05] +[2024-05-16 17:03:53,618] - INFO: Epoch 1568/9999, Iter 78360: Loss = 0.009689287282526493, lr = [2.5e-05] +[2024-05-16 17:04:12,048] - INFO: Epoch 1568/9999, Iter 78380: Loss = 0.015871919691562653, lr = [2.5e-05] +[2024-05-16 17:04:30,536] - INFO: Epoch 1569/9999, Iter 78400: Loss = 0.015118380077183247, lr = [2.5e-05] +[2024-05-16 17:04:48,039] - INFO: Epoch 1569/9999, Iter 78420: Loss = 0.012474258430302143, lr = [2.5e-05] +[2024-05-16 17:05:05,082] - INFO: Epoch 1569/9999, Iter 78440: Loss = 0.012506308034062386, lr = [2.5e-05] +[2024-05-16 17:05:24,666] - INFO: Epoch 1570/9999, Iter 78460: Loss = 0.012382088229060173, lr = [2.5e-05] +[2024-05-16 17:05:42,224] - INFO: Epoch 1570/9999, Iter 78480: Loss = 0.016827460378408432, lr = [2.5e-05] +[2024-05-16 17:05:58,699] - INFO: Evaluate at epoch 1570! +[2024-05-16 17:06:02,138] - INFO: Eval PSNR (max): 37.958 (1530) SSIM (max): 0.9607 (1520) +[2024-05-16 17:06:02,138] - INFO: Eval PSNR (current): 37.928 (1570) SSIM (current): 0.9607 (1570) +[2024-05-16 17:06:02,139] - INFO: Evaluation over. +[2024-05-16 17:06:08,009] - INFO: Epoch 1571/9999, Iter 78500: Loss = 0.01109968964010477, lr = [2.5e-05] +[2024-05-16 17:06:26,264] - INFO: Epoch 1571/9999, Iter 78520: Loss = 0.013007313944399357, lr = [2.5e-05] +[2024-05-16 17:06:43,924] - INFO: Epoch 1571/9999, Iter 78540: Loss = 0.011356733739376068, lr = [2.5e-05] +[2024-05-16 17:07:02,653] - INFO: Epoch 1572/9999, Iter 78560: Loss = 0.012490767985582352, lr = [2.5e-05] +[2024-05-16 17:07:19,533] - INFO: Epoch 1572/9999, Iter 78580: Loss = 0.011770063079893589, lr = [2.5e-05] +[2024-05-16 17:07:39,528] - INFO: Epoch 1573/9999, Iter 78600: Loss = 0.009873730130493641, lr = [2.5e-05] +[2024-05-16 17:07:57,453] - INFO: Epoch 1573/9999, Iter 78620: Loss = 0.008775884285569191, lr = [2.5e-05] +[2024-05-16 17:08:15,476] - INFO: Epoch 1573/9999, Iter 78640: Loss = 0.011338538490235806, lr = [2.5e-05] +[2024-05-16 17:08:33,748] - INFO: Epoch 1574/9999, Iter 78660: Loss = 0.010350280441343784, lr = [2.5e-05] +[2024-05-16 17:08:52,046] - INFO: Epoch 1574/9999, Iter 78680: Loss = 0.01314734946936369, lr = [2.5e-05] +[2024-05-16 17:09:10,631] - INFO: Epoch 1575/9999, Iter 78700: Loss = 0.014700227417051792, lr = [2.5e-05] +[2024-05-16 17:09:28,088] - INFO: Epoch 1575/9999, Iter 78720: Loss = 0.01551589835435152, lr = [2.5e-05] +[2024-05-16 17:09:45,169] - INFO: Epoch 1575/9999, Iter 78740: Loss = 0.008596221916377544, lr = [2.5e-05] +[2024-05-16 17:09:53,208] - INFO: Evaluate at epoch 1575! +[2024-05-16 17:09:56,875] - INFO: Eval PSNR (max): 37.958 (1530) SSIM (max): 0.9607 (1520) +[2024-05-16 17:09:56,875] - INFO: Eval PSNR (current): 37.948 (1575) SSIM (current): 0.9607 (1575) +[2024-05-16 17:09:56,875] - INFO: Evaluation over. +[2024-05-16 17:10:11,564] - INFO: Epoch 1576/9999, Iter 78760: Loss = 0.015531392768025398, lr = [2.5e-05] +[2024-05-16 17:10:29,691] - INFO: Epoch 1576/9999, Iter 78780: Loss = 0.012819760479032993, lr = [2.5e-05] +[2024-05-16 17:10:48,848] - INFO: Epoch 1577/9999, Iter 78800: Loss = 0.01584758423268795, lr = [2.5e-05] +[2024-05-16 17:11:06,027] - INFO: Epoch 1577/9999, Iter 78820: Loss = 0.012174440547823906, lr = [2.5e-05] +[2024-05-16 17:11:23,856] - INFO: Epoch 1577/9999, Iter 78840: Loss = 0.013518921099603176, lr = [2.5e-05] +[2024-05-16 17:11:42,839] - INFO: Epoch 1578/9999, Iter 78860: Loss = 0.009162435308098793, lr = [2.5e-05] +[2024-05-16 17:12:00,880] - INFO: Epoch 1578/9999, Iter 78880: Loss = 0.018581222742795944, lr = [2.5e-05] +[2024-05-16 17:12:19,356] - INFO: Epoch 1579/9999, Iter 78900: Loss = 0.015519561246037483, lr = [2.5e-05] +[2024-05-16 17:12:37,247] - INFO: Epoch 1579/9999, Iter 78920: Loss = 0.012037347070872784, lr = [2.5e-05] +[2024-05-16 17:12:55,534] - INFO: Epoch 1579/9999, Iter 78940: Loss = 0.013418938033282757, lr = [2.5e-05] +[2024-05-16 17:13:14,300] - INFO: Epoch 1580/9999, Iter 78960: Loss = 0.0118777547031641, lr = [2.5e-05] +[2024-05-16 17:13:32,197] - INFO: Epoch 1580/9999, Iter 78980: Loss = 0.011527182534337044, lr = [2.5e-05] +[2024-05-16 17:13:48,557] - INFO: Evaluate at epoch 1580! +[2024-05-16 17:13:52,019] - INFO: Eval PSNR (max): 37.958 (1530) SSIM (max): 0.9607 (1520) +[2024-05-16 17:13:52,019] - INFO: Eval PSNR (current): 37.950 (1580) SSIM (current): 0.9606 (1580) +[2024-05-16 17:13:52,019] - INFO: Evaluation over. +[2024-05-16 17:13:58,027] - INFO: Epoch 1581/9999, Iter 79000: Loss = 0.014226030558347702, lr = [2.5e-05] +[2024-05-16 17:14:15,402] - INFO: Epoch 1581/9999, Iter 79020: Loss = 0.010295812971889973, lr = [2.5e-05] +[2024-05-16 17:14:32,840] - INFO: Epoch 1581/9999, Iter 79040: Loss = 0.009677820838987827, lr = [2.5e-05] +[2024-05-16 17:14:51,688] - INFO: Epoch 1582/9999, Iter 79060: Loss = 0.018035372719168663, lr = [2.5e-05] +[2024-05-16 17:15:09,167] - INFO: Epoch 1582/9999, Iter 79080: Loss = 0.016199400648474693, lr = [2.5e-05] +[2024-05-16 17:15:27,428] - INFO: Epoch 1583/9999, Iter 79100: Loss = 0.010589503683149815, lr = [2.5e-05] +[2024-05-16 17:15:45,117] - INFO: Epoch 1583/9999, Iter 79120: Loss = 0.015132550150156021, lr = [2.5e-05] +[2024-05-16 17:16:02,424] - INFO: Epoch 1583/9999, Iter 79140: Loss = 0.009924866259098053, lr = [2.5e-05] +[2024-05-16 17:16:21,173] - INFO: Epoch 1584/9999, Iter 79160: Loss = 0.011111375875771046, lr = [2.5e-05] +[2024-05-16 17:16:39,279] - INFO: Epoch 1584/9999, Iter 79180: Loss = 0.016144927591085434, lr = [2.5e-05] +[2024-05-16 17:16:58,765] - INFO: Epoch 1585/9999, Iter 79200: Loss = 0.009617732837796211, lr = [2.5e-05] +[2024-05-16 17:17:16,432] - INFO: Epoch 1585/9999, Iter 79220: Loss = 0.015890581533312798, lr = [2.5e-05] +[2024-05-16 17:17:34,790] - INFO: Epoch 1585/9999, Iter 79240: Loss = 0.00966500025242567, lr = [2.5e-05] +[2024-05-16 17:17:42,098] - INFO: Evaluate at epoch 1585! +[2024-05-16 17:17:45,612] - INFO: Eval PSNR (max): 37.958 (1530) SSIM (max): 0.9607 (1520) +[2024-05-16 17:17:45,613] - INFO: Eval PSNR (current): 37.957 (1585) SSIM (current): 0.9607 (1585) +[2024-05-16 17:17:45,613] - INFO: Evaluation over. +[2024-05-16 17:18:00,546] - INFO: Epoch 1586/9999, Iter 79260: Loss = 0.012141800485551357, lr = [2.5e-05] +[2024-05-16 17:18:18,465] - INFO: Epoch 1586/9999, Iter 79280: Loss = 0.012097271159291267, lr = [2.5e-05] +[2024-05-16 17:18:37,698] - INFO: Epoch 1587/9999, Iter 79300: Loss = 0.016056017950177193, lr = [2.5e-05] +[2024-05-16 17:18:54,981] - INFO: Epoch 1587/9999, Iter 79320: Loss = 0.010700708255171776, lr = [2.5e-05] +[2024-05-16 17:19:11,978] - INFO: Epoch 1587/9999, Iter 79340: Loss = 0.013058298267424107, lr = [2.5e-05] +[2024-05-16 17:19:32,492] - INFO: Epoch 1588/9999, Iter 79360: Loss = 0.01396155171096325, lr = [2.5e-05] +[2024-05-16 17:19:50,143] - INFO: Epoch 1588/9999, Iter 79380: Loss = 0.011515072546899319, lr = [2.5e-05] +[2024-05-16 17:20:09,143] - INFO: Epoch 1589/9999, Iter 79400: Loss = 0.00882707443088293, lr = [2.5e-05] +[2024-05-16 17:20:27,188] - INFO: Epoch 1589/9999, Iter 79420: Loss = 0.015564704313874245, lr = [2.5e-05] +[2024-05-16 17:20:45,212] - INFO: Epoch 1589/9999, Iter 79440: Loss = 0.0124300392344594, lr = [2.5e-05] +[2024-05-16 17:21:04,240] - INFO: Epoch 1590/9999, Iter 79460: Loss = 0.015391998924314976, lr = [2.5e-05] +[2024-05-16 17:21:22,560] - INFO: Epoch 1590/9999, Iter 79480: Loss = 0.01110362820327282, lr = [2.5e-05] +[2024-05-16 17:21:38,921] - INFO: Evaluate at epoch 1590! +[2024-05-16 17:21:42,410] - INFO: Eval PSNR (max): 37.958 (1530) SSIM (max): 0.9607 (1520) +[2024-05-16 17:21:42,410] - INFO: Eval PSNR (current): 37.934 (1590) SSIM (current): 0.9606 (1590) +[2024-05-16 17:21:42,410] - INFO: Evaluation over. +[2024-05-16 17:21:48,606] - INFO: Epoch 1591/9999, Iter 79500: Loss = 0.013336234726011753, lr = [2.5e-05] +[2024-05-16 17:22:06,849] - INFO: Epoch 1591/9999, Iter 79520: Loss = 0.009648846462368965, lr = [2.5e-05] +[2024-05-16 17:22:24,559] - INFO: Epoch 1591/9999, Iter 79540: Loss = 0.011801701039075851, lr = [2.5e-05] +[2024-05-16 17:22:43,744] - INFO: Epoch 1592/9999, Iter 79560: Loss = 0.012058435007929802, lr = [2.5e-05] +[2024-05-16 17:23:01,929] - INFO: Epoch 1592/9999, Iter 79580: Loss = 0.010252261534333229, lr = [2.5e-05] +[2024-05-16 17:23:21,364] - INFO: Epoch 1593/9999, Iter 79600: Loss = 0.01989245042204857, lr = [2.5e-05] +[2024-05-16 17:23:39,134] - INFO: Epoch 1593/9999, Iter 79620: Loss = 0.013418124988675117, lr = [2.5e-05] +[2024-05-16 17:23:57,083] - INFO: Epoch 1593/9999, Iter 79640: Loss = 0.011781291104853153, lr = [2.5e-05] +[2024-05-16 17:24:15,999] - INFO: Epoch 1594/9999, Iter 79660: Loss = 0.013436834327876568, lr = [2.5e-05] +[2024-05-16 17:24:34,321] - INFO: Epoch 1594/9999, Iter 79680: Loss = 0.012485131621360779, lr = [2.5e-05] +[2024-05-16 17:24:53,052] - INFO: Epoch 1595/9999, Iter 79700: Loss = 0.012848169542849064, lr = [2.5e-05] +[2024-05-16 17:25:10,647] - INFO: Epoch 1595/9999, Iter 79720: Loss = 0.014696001075208187, lr = [2.5e-05] +[2024-05-16 17:25:29,063] - INFO: Epoch 1595/9999, Iter 79740: Loss = 0.012579778209328651, lr = [2.5e-05] +[2024-05-16 17:25:36,322] - INFO: Evaluate at epoch 1595! +[2024-05-16 17:25:39,883] - INFO: Eval PSNR (max): 37.958 (1530) SSIM (max): 0.9607 (1520) +[2024-05-16 17:25:39,883] - INFO: Eval PSNR (current): 37.941 (1595) SSIM (current): 0.9606 (1595) +[2024-05-16 17:25:39,883] - INFO: Evaluation over. +[2024-05-16 17:25:55,016] - INFO: Epoch 1596/9999, Iter 79760: Loss = 0.013091729022562504, lr = [2.5e-05] +[2024-05-16 17:26:12,792] - INFO: Epoch 1596/9999, Iter 79780: Loss = 0.01325528509914875, lr = [2.5e-05] +[2024-05-16 17:26:31,428] - INFO: Epoch 1597/9999, Iter 79800: Loss = 0.013467689044773579, lr = [2.5e-05] +[2024-05-16 17:26:49,346] - INFO: Epoch 1597/9999, Iter 79820: Loss = 0.01704585924744606, lr = [2.5e-05] +[2024-05-16 17:27:06,940] - INFO: Epoch 1597/9999, Iter 79840: Loss = 0.00868210569024086, lr = [2.5e-05] +[2024-05-16 17:27:25,552] - INFO: Epoch 1598/9999, Iter 79860: Loss = 0.00767869409173727, lr = [2.5e-05] +[2024-05-16 17:27:43,774] - INFO: Epoch 1598/9999, Iter 79880: Loss = 0.008800522424280643, lr = [2.5e-05] +[2024-05-16 17:28:02,680] - INFO: Epoch 1599/9999, Iter 79900: Loss = 0.01316886954009533, lr = [2.5e-05] +[2024-05-16 17:28:20,676] - INFO: Epoch 1599/9999, Iter 79920: Loss = 0.00863404106348753, lr = [2.5e-05] +[2024-05-16 17:28:38,608] - INFO: Epoch 1599/9999, Iter 79940: Loss = 0.014732151292264462, lr = [2.5e-05] +[2024-05-16 17:28:57,385] - INFO: Epoch 1600/9999, Iter 79960: Loss = 0.014799265190958977, lr = [2.5e-05] +[2024-05-16 17:29:15,345] - INFO: Epoch 1600/9999, Iter 79980: Loss = 0.014731360599398613, lr = [2.5e-05] +[2024-05-16 17:29:32,015] - INFO: Evaluate at epoch 1600! +[2024-05-16 17:29:36,137] - INFO: Eval PSNR (max): 37.958 (1530) SSIM (max): 0.9607 (1520) +[2024-05-16 17:29:36,137] - INFO: Eval PSNR (current): 37.940 (1600) SSIM (current): 0.9605 (1600) +[2024-05-16 17:29:36,137] - INFO: Evaluation over. +[2024-05-16 17:29:42,152] - INFO: Epoch 1601/9999, Iter 80000: Loss = 0.009854892268776894, lr = [2.5e-05] +[2024-05-16 17:29:59,972] - INFO: Epoch 1601/9999, Iter 80020: Loss = 0.01114316750317812, lr = [2.5e-05] +[2024-05-16 17:30:18,144] - INFO: Epoch 1601/9999, Iter 80040: Loss = 0.009180988185107708, lr = [2.5e-05] +[2024-05-16 17:30:37,096] - INFO: Epoch 1602/9999, Iter 80060: Loss = 0.01340566761791706, lr = [2.5e-05] +[2024-05-16 17:30:55,092] - INFO: Epoch 1602/9999, Iter 80080: Loss = 0.014780530706048012, lr = [2.5e-05] +[2024-05-16 17:31:13,768] - INFO: Epoch 1603/9999, Iter 80100: Loss = 0.011106378398835659, lr = [2.5e-05] +[2024-05-16 17:31:31,261] - INFO: Epoch 1603/9999, Iter 80120: Loss = 0.015497153624892235, lr = [2.5e-05] +[2024-05-16 17:31:49,322] - INFO: Epoch 1603/9999, Iter 80140: Loss = 0.011679855175316334, lr = [2.5e-05] +[2024-05-16 17:32:08,249] - INFO: Epoch 1604/9999, Iter 80160: Loss = 0.007249753922224045, lr = [2.5e-05] +[2024-05-16 17:32:25,938] - INFO: Epoch 1604/9999, Iter 80180: Loss = 0.009388861246407032, lr = [2.5e-05] +[2024-05-16 17:32:45,035] - INFO: Epoch 1605/9999, Iter 80200: Loss = 0.01494426280260086, lr = [2.5e-05] +[2024-05-16 17:33:02,186] - INFO: Epoch 1605/9999, Iter 80220: Loss = 0.01302062626928091, lr = [2.5e-05] +[2024-05-16 17:33:19,859] - INFO: Epoch 1605/9999, Iter 80240: Loss = 0.014401974156498909, lr = [2.5e-05] +[2024-05-16 17:33:27,621] - INFO: Evaluate at epoch 1605! +[2024-05-16 17:33:31,561] - INFO: Eval PSNR (max): 37.958 (1530) SSIM (max): 0.9607 (1520) +[2024-05-16 17:33:31,562] - INFO: Eval PSNR (current): 37.935 (1605) SSIM (current): 0.9606 (1605) +[2024-05-16 17:33:31,562] - INFO: Evaluation over. +[2024-05-16 17:33:46,492] - INFO: Epoch 1606/9999, Iter 80260: Loss = 0.012668414041399956, lr = [2.5e-05] +[2024-05-16 17:34:04,340] - INFO: Epoch 1606/9999, Iter 80280: Loss = 0.018069850280880928, lr = [2.5e-05] +[2024-05-16 17:34:23,095] - INFO: Epoch 1607/9999, Iter 80300: Loss = 0.012056240811944008, lr = [2.5e-05] +[2024-05-16 17:34:39,933] - INFO: Epoch 1607/9999, Iter 80320: Loss = 0.013341879472136497, lr = [2.5e-05] +[2024-05-16 17:34:57,479] - INFO: Epoch 1607/9999, Iter 80340: Loss = 0.0165401604026556, lr = [2.5e-05] +[2024-05-16 17:35:17,378] - INFO: Epoch 1608/9999, Iter 80360: Loss = 0.014878588728606701, lr = [2.5e-05] +[2024-05-16 17:35:35,606] - INFO: Epoch 1608/9999, Iter 80380: Loss = 0.009448139928281307, lr = [2.5e-05] +[2024-05-16 17:35:54,707] - INFO: Epoch 1609/9999, Iter 80400: Loss = 0.014380812644958496, lr = [2.5e-05] +[2024-05-16 17:36:13,175] - INFO: Epoch 1609/9999, Iter 80420: Loss = 0.010404150933027267, lr = [2.5e-05] +[2024-05-16 17:36:31,202] - INFO: Epoch 1609/9999, Iter 80440: Loss = 0.010573997162282467, lr = [2.5e-05] +[2024-05-16 17:36:50,604] - INFO: Epoch 1610/9999, Iter 80460: Loss = 0.01914886198937893, lr = [2.5e-05] +[2024-05-16 17:37:08,454] - INFO: Epoch 1610/9999, Iter 80480: Loss = 0.010566740296781063, lr = [2.5e-05] +[2024-05-16 17:37:24,890] - INFO: Evaluate at epoch 1610! +[2024-05-16 17:37:29,003] - INFO: Eval PSNR (max): 37.958 (1530) SSIM (max): 0.9607 (1520) +[2024-05-16 17:37:29,004] - INFO: Eval PSNR (current): 37.940 (1610) SSIM (current): 0.9607 (1610) +[2024-05-16 17:37:29,004] - INFO: Evaluation over. +[2024-05-16 17:37:35,055] - INFO: Epoch 1611/9999, Iter 80500: Loss = 0.010489420033991337, lr = [2.5e-05] +[2024-05-16 17:37:53,243] - INFO: Epoch 1611/9999, Iter 80520: Loss = 0.012974584475159645, lr = [2.5e-05] +[2024-05-16 17:38:10,920] - INFO: Epoch 1611/9999, Iter 80540: Loss = 0.012549074366688728, lr = [2.5e-05] +[2024-05-16 17:38:29,764] - INFO: Epoch 1612/9999, Iter 80560: Loss = 0.015609268099069595, lr = [2.5e-05] +[2024-05-16 17:38:48,606] - INFO: Epoch 1612/9999, Iter 80580: Loss = 0.010251855477690697, lr = [2.5e-05] +[2024-05-16 17:39:07,136] - INFO: Epoch 1613/9999, Iter 80600: Loss = 0.01482191402465105, lr = [2.5e-05] +[2024-05-16 17:39:24,143] - INFO: Epoch 1613/9999, Iter 80620: Loss = 0.012340462766587734, lr = [2.5e-05] +[2024-05-16 17:39:41,622] - INFO: Epoch 1613/9999, Iter 80640: Loss = 0.01997286081314087, lr = [2.5e-05] +[2024-05-16 17:40:00,640] - INFO: Epoch 1614/9999, Iter 80660: Loss = 0.013157409615814686, lr = [2.5e-05] +[2024-05-16 17:40:18,804] - INFO: Epoch 1614/9999, Iter 80680: Loss = 0.00817585363984108, lr = [2.5e-05] +[2024-05-16 17:40:37,427] - INFO: Epoch 1615/9999, Iter 80700: Loss = 0.016671720892190933, lr = [2.5e-05] +[2024-05-16 17:40:54,812] - INFO: Epoch 1615/9999, Iter 80720: Loss = 0.011409834958612919, lr = [2.5e-05] +[2024-05-16 17:41:12,328] - INFO: Epoch 1615/9999, Iter 80740: Loss = 0.010559958405792713, lr = [2.5e-05] +[2024-05-16 17:41:19,945] - INFO: Evaluate at epoch 1615! +[2024-05-16 17:41:23,490] - INFO: Eval PSNR (max): 37.958 (1530) SSIM (max): 0.9607 (1520) +[2024-05-16 17:41:23,490] - INFO: Eval PSNR (current): 37.933 (1615) SSIM (current): 0.9606 (1615) +[2024-05-16 17:41:23,491] - INFO: Evaluation over. +[2024-05-16 17:41:38,193] - INFO: Epoch 1616/9999, Iter 80760: Loss = 0.011626068502664566, lr = [2.5e-05] +[2024-05-16 17:41:55,368] - INFO: Epoch 1616/9999, Iter 80780: Loss = 0.010134575888514519, lr = [2.5e-05] +[2024-05-16 17:42:14,221] - INFO: Epoch 1617/9999, Iter 80800: Loss = 0.014502892270684242, lr = [2.5e-05] +[2024-05-16 17:42:32,292] - INFO: Epoch 1617/9999, Iter 80820: Loss = 0.012309149838984013, lr = [2.5e-05] +[2024-05-16 17:42:50,828] - INFO: Epoch 1617/9999, Iter 80840: Loss = 0.015782617032527924, lr = [2.5e-05] +[2024-05-16 17:43:09,533] - INFO: Epoch 1618/9999, Iter 80860: Loss = 0.021774588152766228, lr = [2.5e-05] +[2024-05-16 17:43:27,271] - INFO: Epoch 1618/9999, Iter 80880: Loss = 0.004578681197017431, lr = [2.5e-05] +[2024-05-16 17:43:46,380] - INFO: Epoch 1619/9999, Iter 80900: Loss = 0.018531879410147667, lr = [2.5e-05] +[2024-05-16 17:44:04,108] - INFO: Epoch 1619/9999, Iter 80920: Loss = 0.010927713476121426, lr = [2.5e-05] +[2024-05-16 17:44:22,461] - INFO: Epoch 1619/9999, Iter 80940: Loss = 0.011730545200407505, lr = [2.5e-05] +[2024-05-16 17:44:41,016] - INFO: Epoch 1620/9999, Iter 80960: Loss = 0.01539812982082367, lr = [2.5e-05] +[2024-05-16 17:44:58,235] - INFO: Epoch 1620/9999, Iter 80980: Loss = 0.010421267710626125, lr = [2.5e-05] +[2024-05-16 17:45:14,518] - INFO: Evaluate at epoch 1620! +[2024-05-16 17:45:22,360] - INFO: Eval PSNR (max): 37.965 (1620) SSIM (max): 0.9607 (1520) +[2024-05-16 17:45:22,360] - INFO: Eval PSNR (current): 37.965 (1620) SSIM (current): 0.9607 (1620) +[2024-05-16 17:45:22,360] - INFO: Evaluation over. +[2024-05-16 17:45:28,223] - INFO: Epoch 1621/9999, Iter 81000: Loss = 0.008415715768933296, lr = [2.5e-05] +[2024-05-16 17:45:46,106] - INFO: Epoch 1621/9999, Iter 81020: Loss = 0.01448566373437643, lr = [2.5e-05] +[2024-05-16 17:46:04,412] - INFO: Epoch 1621/9999, Iter 81040: Loss = 0.01402659248560667, lr = [2.5e-05] +[2024-05-16 17:46:23,660] - INFO: Epoch 1622/9999, Iter 81060: Loss = 0.012825975194573402, lr = [2.5e-05] +[2024-05-16 17:46:40,762] - INFO: Epoch 1622/9999, Iter 81080: Loss = 0.014542633667588234, lr = [2.5e-05] +[2024-05-16 17:46:59,562] - INFO: Epoch 1623/9999, Iter 81100: Loss = 0.011214572004973888, lr = [2.5e-05] +[2024-05-16 17:47:17,540] - INFO: Epoch 1623/9999, Iter 81120: Loss = 0.014208906330168247, lr = [2.5e-05] +[2024-05-16 17:47:35,434] - INFO: Epoch 1623/9999, Iter 81140: Loss = 0.015756357461214066, lr = [2.5e-05] +[2024-05-16 17:47:54,563] - INFO: Epoch 1624/9999, Iter 81160: Loss = 0.015173430554568768, lr = [2.5e-05] +[2024-05-16 17:48:11,948] - INFO: Epoch 1624/9999, Iter 81180: Loss = 0.014704984612762928, lr = [2.5e-05] +[2024-05-16 17:48:30,973] - INFO: Epoch 1625/9999, Iter 81200: Loss = 0.012811285443603992, lr = [2.5e-05] +[2024-05-16 17:48:48,631] - INFO: Epoch 1625/9999, Iter 81220: Loss = 0.017564978450536728, lr = [2.5e-05] +[2024-05-16 17:49:06,148] - INFO: Epoch 1625/9999, Iter 81240: Loss = 0.017710736021399498, lr = [2.5e-05] +[2024-05-16 17:49:14,288] - INFO: Evaluate at epoch 1625! +[2024-05-16 17:49:17,848] - INFO: Eval PSNR (max): 37.965 (1620) SSIM (max): 0.9607 (1520) +[2024-05-16 17:49:17,849] - INFO: Eval PSNR (current): 37.949 (1625) SSIM (current): 0.9606 (1625) +[2024-05-16 17:49:17,849] - INFO: Evaluation over. +[2024-05-16 17:49:32,897] - INFO: Epoch 1626/9999, Iter 81260: Loss = 0.010746647603809834, lr = [2.5e-05] +[2024-05-16 17:49:50,144] - INFO: Epoch 1626/9999, Iter 81280: Loss = 0.014712577685713768, lr = [2.5e-05] +[2024-05-16 17:50:09,028] - INFO: Epoch 1627/9999, Iter 81300: Loss = 0.012514112517237663, lr = [2.5e-05] +[2024-05-16 17:50:26,767] - INFO: Epoch 1627/9999, Iter 81320: Loss = 0.014920232817530632, lr = [2.5e-05] +[2024-05-16 17:50:45,130] - INFO: Epoch 1627/9999, Iter 81340: Loss = 0.013474908657371998, lr = [2.5e-05] +[2024-05-16 17:51:03,892] - INFO: Epoch 1628/9999, Iter 81360: Loss = 0.011434685438871384, lr = [2.5e-05] +[2024-05-16 17:51:22,162] - INFO: Epoch 1628/9999, Iter 81380: Loss = 0.007608011830598116, lr = [2.5e-05] +[2024-05-16 17:51:40,884] - INFO: Epoch 1629/9999, Iter 81400: Loss = 0.013894564472138882, lr = [2.5e-05] +[2024-05-16 17:51:58,492] - INFO: Epoch 1629/9999, Iter 81420: Loss = 0.01196904107928276, lr = [2.5e-05] +[2024-05-16 17:52:16,414] - INFO: Epoch 1629/9999, Iter 81440: Loss = 0.012912433594465256, lr = [2.5e-05] +[2024-05-16 17:52:35,352] - INFO: Epoch 1630/9999, Iter 81460: Loss = 0.010456625372171402, lr = [2.5e-05] +[2024-05-16 17:52:53,060] - INFO: Epoch 1630/9999, Iter 81480: Loss = 0.013212310150265694, lr = [2.5e-05] +[2024-05-16 17:53:09,908] - INFO: Evaluate at epoch 1630! +[2024-05-16 17:53:13,408] - INFO: Eval PSNR (max): 37.965 (1620) SSIM (max): 0.9607 (1520) +[2024-05-16 17:53:13,409] - INFO: Eval PSNR (current): 37.907 (1630) SSIM (current): 0.9606 (1630) +[2024-05-16 17:53:13,409] - INFO: Evaluation over. +[2024-05-16 17:53:19,250] - INFO: Epoch 1631/9999, Iter 81500: Loss = 0.014657177031040192, lr = [2.5e-05] +[2024-05-16 17:53:36,960] - INFO: Epoch 1631/9999, Iter 81520: Loss = 0.00937297847121954, lr = [2.5e-05] +[2024-05-16 17:53:54,124] - INFO: Epoch 1631/9999, Iter 81540: Loss = 0.010449113324284554, lr = [2.5e-05] +[2024-05-16 17:54:13,137] - INFO: Epoch 1632/9999, Iter 81560: Loss = 0.008806625381112099, lr = [2.5e-05] +[2024-05-16 17:54:30,474] - INFO: Epoch 1632/9999, Iter 81580: Loss = 0.015835145488381386, lr = [2.5e-05] +[2024-05-16 17:54:49,953] - INFO: Epoch 1633/9999, Iter 81600: Loss = 0.01570126600563526, lr = [2.5e-05] +[2024-05-16 17:55:07,532] - INFO: Epoch 1633/9999, Iter 81620: Loss = 0.010479165241122246, lr = [2.5e-05] +[2024-05-16 17:55:25,568] - INFO: Epoch 1633/9999, Iter 81640: Loss = 0.0105435224249959, lr = [2.5e-05] +[2024-05-16 17:55:44,360] - INFO: Epoch 1634/9999, Iter 81660: Loss = 0.012910788878798485, lr = [2.5e-05] +[2024-05-16 17:56:02,911] - INFO: Epoch 1634/9999, Iter 81680: Loss = 0.012816780246794224, lr = [2.5e-05] +[2024-05-16 17:56:21,980] - INFO: Epoch 1635/9999, Iter 81700: Loss = 0.01757923513650894, lr = [2.5e-05] +[2024-05-16 17:56:39,670] - INFO: Epoch 1635/9999, Iter 81720: Loss = 0.009795555844902992, lr = [2.5e-05] +[2024-05-16 17:56:58,209] - INFO: Epoch 1635/9999, Iter 81740: Loss = 0.010162770748138428, lr = [2.5e-05] +[2024-05-16 17:57:05,937] - INFO: Evaluate at epoch 1635! +[2024-05-16 17:57:09,449] - INFO: Eval PSNR (max): 37.965 (1620) SSIM (max): 0.9607 (1520) +[2024-05-16 17:57:09,450] - INFO: Eval PSNR (current): 37.924 (1635) SSIM (current): 0.9607 (1635) +[2024-05-16 17:57:09,450] - INFO: Evaluation over. +[2024-05-16 17:57:24,335] - INFO: Epoch 1636/9999, Iter 81760: Loss = 0.009866232052445412, lr = [2.5e-05] +[2024-05-16 17:57:42,200] - INFO: Epoch 1636/9999, Iter 81780: Loss = 0.015359458513557911, lr = [2.5e-05] +[2024-05-16 17:58:01,552] - INFO: Epoch 1637/9999, Iter 81800: Loss = 0.01151991356164217, lr = [2.5e-05] +[2024-05-16 17:58:18,744] - INFO: Epoch 1637/9999, Iter 81820: Loss = 0.010996561497449875, lr = [2.5e-05] +[2024-05-16 17:58:36,248] - INFO: Epoch 1637/9999, Iter 81840: Loss = 0.02266930602490902, lr = [2.5e-05] +[2024-05-16 17:58:54,889] - INFO: Epoch 1638/9999, Iter 81860: Loss = 0.0077148862183094025, lr = [2.5e-05] +[2024-05-16 17:59:12,108] - INFO: Epoch 1638/9999, Iter 81880: Loss = 0.011115919798612595, lr = [2.5e-05] +[2024-05-16 17:59:31,164] - INFO: Epoch 1639/9999, Iter 81900: Loss = 0.01021131407469511, lr = [2.5e-05] +[2024-05-16 17:59:50,013] - INFO: Epoch 1639/9999, Iter 81920: Loss = 0.012038147076964378, lr = [2.5e-05] +[2024-05-16 18:00:07,284] - INFO: Epoch 1639/9999, Iter 81940: Loss = 0.009357673116028309, lr = [2.5e-05] +[2024-05-16 18:00:26,462] - INFO: Epoch 1640/9999, Iter 81960: Loss = 0.009818336926400661, lr = [2.5e-05] +[2024-05-16 18:00:44,579] - INFO: Epoch 1640/9999, Iter 81980: Loss = 0.011754619888961315, lr = [2.5e-05] +[2024-05-16 18:01:00,926] - INFO: Evaluate at epoch 1640! +[2024-05-16 18:01:04,707] - INFO: Eval PSNR (max): 37.965 (1620) SSIM (max): 0.9607 (1520) +[2024-05-16 18:01:04,707] - INFO: Eval PSNR (current): 37.950 (1640) SSIM (current): 0.9606 (1640) +[2024-05-16 18:01:04,707] - INFO: Evaluation over. +[2024-05-16 18:01:10,447] - INFO: Epoch 1641/9999, Iter 82000: Loss = 0.012384374625980854, lr = [2.5e-05] +[2024-05-16 18:01:28,580] - INFO: Epoch 1641/9999, Iter 82020: Loss = 0.013720868155360222, lr = [2.5e-05] +[2024-05-16 18:01:46,970] - INFO: Epoch 1641/9999, Iter 82040: Loss = 0.011993860825896263, lr = [2.5e-05] +[2024-05-16 18:02:06,205] - INFO: Epoch 1642/9999, Iter 82060: Loss = 0.018291199579834938, lr = [2.5e-05] +[2024-05-16 18:02:23,489] - INFO: Epoch 1642/9999, Iter 82080: Loss = 0.009035986848175526, lr = [2.5e-05] +[2024-05-16 18:02:42,704] - INFO: Epoch 1643/9999, Iter 82100: Loss = 0.0160213615745306, lr = [2.5e-05] +[2024-05-16 18:03:00,067] - INFO: Epoch 1643/9999, Iter 82120: Loss = 0.012709110043942928, lr = [2.5e-05] +[2024-05-16 18:03:17,416] - INFO: Epoch 1643/9999, Iter 82140: Loss = 0.013365495949983597, lr = [2.5e-05] +[2024-05-16 18:03:36,844] - INFO: Epoch 1644/9999, Iter 82160: Loss = 0.01511069294065237, lr = [2.5e-05] +[2024-05-16 18:03:54,120] - INFO: Epoch 1644/9999, Iter 82180: Loss = 0.012588391080498695, lr = [2.5e-05] +[2024-05-16 18:04:13,809] - INFO: Epoch 1645/9999, Iter 82200: Loss = 0.018080325797200203, lr = [2.5e-05] +[2024-05-16 18:04:31,034] - INFO: Epoch 1645/9999, Iter 82220: Loss = 0.020697085186839104, lr = [2.5e-05] +[2024-05-16 18:04:49,166] - INFO: Epoch 1645/9999, Iter 82240: Loss = 0.013502819463610649, lr = [2.5e-05] +[2024-05-16 18:04:57,182] - INFO: Evaluate at epoch 1645! +[2024-05-16 18:05:00,741] - INFO: Eval PSNR (max): 37.965 (1620) SSIM (max): 0.9607 (1520) +[2024-05-16 18:05:00,742] - INFO: Eval PSNR (current): 37.945 (1645) SSIM (current): 0.9607 (1645) +[2024-05-16 18:05:00,742] - INFO: Evaluation over. +[2024-05-16 18:05:15,566] - INFO: Epoch 1646/9999, Iter 82260: Loss = 0.01919083297252655, lr = [2.5e-05] +[2024-05-16 18:05:33,305] - INFO: Epoch 1646/9999, Iter 82280: Loss = 0.012439053505659103, lr = [2.5e-05] +[2024-05-16 18:05:52,002] - INFO: Epoch 1647/9999, Iter 82300: Loss = 0.01663392037153244, lr = [2.5e-05] +[2024-05-16 18:06:10,156] - INFO: Epoch 1647/9999, Iter 82320: Loss = 0.008225909434258938, lr = [2.5e-05] +[2024-05-16 18:06:27,968] - INFO: Epoch 1647/9999, Iter 82340: Loss = 0.017328254878520966, lr = [2.5e-05] +[2024-05-16 18:06:46,394] - INFO: Epoch 1648/9999, Iter 82360: Loss = 0.016447236761450768, lr = [2.5e-05] +[2024-05-16 18:07:04,183] - INFO: Epoch 1648/9999, Iter 82380: Loss = 0.014113377779722214, lr = [2.5e-05] +[2024-05-16 18:07:23,645] - INFO: Epoch 1649/9999, Iter 82400: Loss = 0.008725767955183983, lr = [2.5e-05] +[2024-05-16 18:07:40,431] - INFO: Epoch 1649/9999, Iter 82420: Loss = 0.012065980583429337, lr = [2.5e-05] +[2024-05-16 18:07:58,228] - INFO: Epoch 1649/9999, Iter 82440: Loss = 0.014665648341178894, lr = [2.5e-05] +[2024-05-16 18:08:16,796] - INFO: Epoch 1650/9999, Iter 82460: Loss = 0.015016990713775158, lr = [2.5e-05] +[2024-05-16 18:08:34,216] - INFO: Epoch 1650/9999, Iter 82480: Loss = 0.008799309842288494, lr = [2.5e-05] +[2024-05-16 18:08:50,910] - INFO: Evaluate at epoch 1650! +[2024-05-16 18:08:54,326] - INFO: Eval PSNR (max): 37.965 (1620) SSIM (max): 0.9607 (1520) +[2024-05-16 18:08:54,326] - INFO: Eval PSNR (current): 37.932 (1650) SSIM (current): 0.9606 (1650) +[2024-05-16 18:08:54,327] - INFO: Evaluation over. +[2024-05-16 18:09:00,254] - INFO: Epoch 1651/9999, Iter 82500: Loss = 0.016359949484467506, lr = [2.5e-05] +[2024-05-16 18:09:17,405] - INFO: Epoch 1651/9999, Iter 82520: Loss = 0.012790005654096603, lr = [2.5e-05] +[2024-05-16 18:09:35,072] - INFO: Epoch 1651/9999, Iter 82540: Loss = 0.01415921188890934, lr = [2.5e-05] +[2024-05-16 18:09:53,970] - INFO: Epoch 1652/9999, Iter 82560: Loss = 0.0061667077243328094, lr = [2.5e-05] +[2024-05-16 18:10:11,261] - INFO: Epoch 1652/9999, Iter 82580: Loss = 0.010292565450072289, lr = [2.5e-05] +[2024-05-16 18:10:29,946] - INFO: Epoch 1653/9999, Iter 82600: Loss = 0.011830889619886875, lr = [2.5e-05] +[2024-05-16 18:10:47,603] - INFO: Epoch 1653/9999, Iter 82620: Loss = 0.012089122086763382, lr = [2.5e-05] +[2024-05-16 18:11:04,851] - INFO: Epoch 1653/9999, Iter 82640: Loss = 0.01777876727283001, lr = [2.5e-05] +[2024-05-16 18:11:24,070] - INFO: Epoch 1654/9999, Iter 82660: Loss = 0.015781015157699585, lr = [2.5e-05] +[2024-05-16 18:11:42,073] - INFO: Epoch 1654/9999, Iter 82680: Loss = 0.008994103409349918, lr = [2.5e-05] +[2024-05-16 18:12:01,095] - INFO: Epoch 1655/9999, Iter 82700: Loss = 0.017820492386817932, lr = [2.5e-05] +[2024-05-16 18:12:18,478] - INFO: Epoch 1655/9999, Iter 82720: Loss = 0.012741616927087307, lr = [2.5e-05] +[2024-05-16 18:12:36,466] - INFO: Epoch 1655/9999, Iter 82740: Loss = 0.012281802482903004, lr = [2.5e-05] +[2024-05-16 18:12:44,254] - INFO: Evaluate at epoch 1655! +[2024-05-16 18:12:47,685] - INFO: Eval PSNR (max): 37.965 (1620) SSIM (max): 0.9607 (1520) +[2024-05-16 18:12:47,685] - INFO: Eval PSNR (current): 37.950 (1655) SSIM (current): 0.9607 (1655) +[2024-05-16 18:12:47,685] - INFO: Evaluation over. +[2024-05-16 18:13:02,808] - INFO: Epoch 1656/9999, Iter 82760: Loss = 0.014747285284101963, lr = [2.5e-05] +[2024-05-16 18:13:20,477] - INFO: Epoch 1656/9999, Iter 82780: Loss = 0.018529154360294342, lr = [2.5e-05] +[2024-05-16 18:13:39,353] - INFO: Epoch 1657/9999, Iter 82800: Loss = 0.014022646471858025, lr = [2.5e-05] +[2024-05-16 18:13:58,068] - INFO: Epoch 1657/9999, Iter 82820: Loss = 0.012025391682982445, lr = [2.5e-05] +[2024-05-16 18:14:15,574] - INFO: Epoch 1657/9999, Iter 82840: Loss = 0.012440339662134647, lr = [2.5e-05] +[2024-05-16 18:14:34,498] - INFO: Epoch 1658/9999, Iter 82860: Loss = 0.010381345637142658, lr = [2.5e-05] +[2024-05-16 18:14:52,444] - INFO: Epoch 1658/9999, Iter 82880: Loss = 0.010910850949585438, lr = [2.5e-05] +[2024-05-16 18:15:11,997] - INFO: Epoch 1659/9999, Iter 82900: Loss = 0.016684597358107567, lr = [2.5e-05] +[2024-05-16 18:15:29,789] - INFO: Epoch 1659/9999, Iter 82920: Loss = 0.01217389851808548, lr = [2.5e-05] +[2024-05-16 18:15:47,778] - INFO: Epoch 1659/9999, Iter 82940: Loss = 0.016728853806853294, lr = [2.5e-05] +[2024-05-16 18:16:07,152] - INFO: Epoch 1660/9999, Iter 82960: Loss = 0.014951391145586967, lr = [2.5e-05] +[2024-05-16 18:16:25,150] - INFO: Epoch 1660/9999, Iter 82980: Loss = 0.012844717130064964, lr = [2.5e-05] +[2024-05-16 18:16:41,671] - INFO: Evaluate at epoch 1660! +[2024-05-16 18:16:45,159] - INFO: Eval PSNR (max): 37.965 (1620) SSIM (max): 0.9607 (1520) +[2024-05-16 18:16:45,160] - INFO: Eval PSNR (current): 37.941 (1660) SSIM (current): 0.9606 (1660) +[2024-05-16 18:16:45,160] - INFO: Evaluation over. +[2024-05-16 18:16:51,161] - INFO: Epoch 1661/9999, Iter 83000: Loss = 0.011999755166471004, lr = [2.5e-05] +[2024-05-16 18:17:08,488] - INFO: Epoch 1661/9999, Iter 83020: Loss = 0.014590865932404995, lr = [2.5e-05] +[2024-05-16 18:17:26,132] - INFO: Epoch 1661/9999, Iter 83040: Loss = 0.01749863661825657, lr = [2.5e-05] +[2024-05-16 18:17:45,171] - INFO: Epoch 1662/9999, Iter 83060: Loss = 0.02179173193871975, lr = [2.5e-05] +[2024-05-16 18:18:02,193] - INFO: Epoch 1662/9999, Iter 83080: Loss = 0.011860083788633347, lr = [2.5e-05] +[2024-05-16 18:18:21,692] - INFO: Epoch 1663/9999, Iter 83100: Loss = 0.013349433429539204, lr = [2.5e-05] +[2024-05-16 18:18:38,720] - INFO: Epoch 1663/9999, Iter 83120: Loss = 0.01874711737036705, lr = [2.5e-05] +[2024-05-16 18:18:56,423] - INFO: Epoch 1663/9999, Iter 83140: Loss = 0.009206443093717098, lr = [2.5e-05] +[2024-05-16 18:19:15,086] - INFO: Epoch 1664/9999, Iter 83160: Loss = 0.013368725776672363, lr = [2.5e-05] +[2024-05-16 18:19:32,814] - INFO: Epoch 1664/9999, Iter 83180: Loss = 0.005646211560815573, lr = [2.5e-05] +[2024-05-16 18:19:52,084] - INFO: Epoch 1665/9999, Iter 83200: Loss = 0.013392172753810883, lr = [2.5e-05] +[2024-05-16 18:20:09,129] - INFO: Epoch 1665/9999, Iter 83220: Loss = 0.01021640095859766, lr = [2.5e-05] +[2024-05-16 18:20:26,911] - INFO: Epoch 1665/9999, Iter 83240: Loss = 0.008693242445588112, lr = [2.5e-05] +[2024-05-16 18:20:34,618] - INFO: Evaluate at epoch 1665! +[2024-05-16 18:20:38,225] - INFO: Eval PSNR (max): 37.965 (1620) SSIM (max): 0.9607 (1520) +[2024-05-16 18:20:38,225] - INFO: Eval PSNR (current): 37.958 (1665) SSIM (current): 0.9607 (1665) +[2024-05-16 18:20:38,225] - INFO: Evaluation over. +[2024-05-16 18:20:53,007] - INFO: Epoch 1666/9999, Iter 83260: Loss = 0.01517642755061388, lr = [2.5e-05] +[2024-05-16 18:21:10,400] - INFO: Epoch 1666/9999, Iter 83280: Loss = 0.016882266849279404, lr = [2.5e-05] +[2024-05-16 18:21:30,036] - INFO: Epoch 1667/9999, Iter 83300: Loss = 0.015852563083171844, lr = [2.5e-05] +[2024-05-16 18:21:47,318] - INFO: Epoch 1667/9999, Iter 83320: Loss = 0.014226933009922504, lr = [2.5e-05] +[2024-05-16 18:22:04,388] - INFO: Epoch 1667/9999, Iter 83340: Loss = 0.01461425144225359, lr = [2.5e-05] +[2024-05-16 18:22:22,656] - INFO: Epoch 1668/9999, Iter 83360: Loss = 0.008869712240993977, lr = [2.5e-05] +[2024-05-16 18:22:40,396] - INFO: Epoch 1668/9999, Iter 83380: Loss = 0.009532646276056767, lr = [2.5e-05] +[2024-05-16 18:22:59,866] - INFO: Epoch 1669/9999, Iter 83400: Loss = 0.014982009306550026, lr = [2.5e-05] +[2024-05-16 18:23:18,188] - INFO: Epoch 1669/9999, Iter 83420: Loss = 0.01631046086549759, lr = [2.5e-05] +[2024-05-16 18:23:36,766] - INFO: Epoch 1669/9999, Iter 83440: Loss = 0.010356779210269451, lr = [2.5e-05] +[2024-05-16 18:23:55,451] - INFO: Epoch 1670/9999, Iter 83460: Loss = 0.013213599100708961, lr = [2.5e-05] +[2024-05-16 18:24:13,273] - INFO: Epoch 1670/9999, Iter 83480: Loss = 0.013556072488427162, lr = [2.5e-05] +[2024-05-16 18:24:29,863] - INFO: Evaluate at epoch 1670! +[2024-05-16 18:24:33,423] - INFO: Eval PSNR (max): 37.965 (1620) SSIM (max): 0.9607 (1520) +[2024-05-16 18:24:33,423] - INFO: Eval PSNR (current): 37.942 (1670) SSIM (current): 0.9606 (1670) +[2024-05-16 18:24:33,423] - INFO: Evaluation over. +[2024-05-16 18:24:39,728] - INFO: Epoch 1671/9999, Iter 83500: Loss = 0.014094472862780094, lr = [2.5e-05] +[2024-05-16 18:24:57,893] - INFO: Epoch 1671/9999, Iter 83520: Loss = 0.015500567853450775, lr = [2.5e-05] +[2024-05-16 18:25:15,732] - INFO: Epoch 1671/9999, Iter 83540: Loss = 0.01970672607421875, lr = [2.5e-05] +[2024-05-16 18:25:35,216] - INFO: Epoch 1672/9999, Iter 83560: Loss = 0.023162471130490303, lr = [2.5e-05] +[2024-05-16 18:25:52,735] - INFO: Epoch 1672/9999, Iter 83580: Loss = 0.01174089964479208, lr = [2.5e-05] +[2024-05-16 18:26:11,848] - INFO: Epoch 1673/9999, Iter 83600: Loss = 0.013785389252007008, lr = [2.5e-05] +[2024-05-16 18:26:30,034] - INFO: Epoch 1673/9999, Iter 83620: Loss = 0.014197096228599548, lr = [2.5e-05] +[2024-05-16 18:26:48,272] - INFO: Epoch 1673/9999, Iter 83640: Loss = 0.008995162323117256, lr = [2.5e-05] +[2024-05-16 18:27:06,709] - INFO: Epoch 1674/9999, Iter 83660: Loss = 0.016113413497805595, lr = [2.5e-05] +[2024-05-16 18:27:23,906] - INFO: Epoch 1674/9999, Iter 83680: Loss = 0.01597893238067627, lr = [2.5e-05] +[2024-05-16 18:27:43,025] - INFO: Epoch 1675/9999, Iter 83700: Loss = 0.0164369884878397, lr = [2.5e-05] +[2024-05-16 18:28:00,397] - INFO: Epoch 1675/9999, Iter 83720: Loss = 0.0157205481082201, lr = [2.5e-05] +[2024-05-16 18:28:18,348] - INFO: Epoch 1675/9999, Iter 83740: Loss = 0.013607673346996307, lr = [2.5e-05] +[2024-05-16 18:28:26,116] - INFO: Evaluate at epoch 1675! +[2024-05-16 18:28:29,692] - INFO: Eval PSNR (max): 37.965 (1620) SSIM (max): 0.9607 (1520) +[2024-05-16 18:28:29,692] - INFO: Eval PSNR (current): 37.925 (1675) SSIM (current): 0.9606 (1675) +[2024-05-16 18:28:29,693] - INFO: Evaluation over. +[2024-05-16 18:28:44,967] - INFO: Epoch 1676/9999, Iter 83760: Loss = 0.010893152095377445, lr = [2.5e-05] +[2024-05-16 18:29:03,088] - INFO: Epoch 1676/9999, Iter 83780: Loss = 0.016884764656424522, lr = [2.5e-05] +[2024-05-16 18:29:21,789] - INFO: Epoch 1677/9999, Iter 83800: Loss = 0.00898220669478178, lr = [2.5e-05] +[2024-05-16 18:29:39,472] - INFO: Epoch 1677/9999, Iter 83820: Loss = 0.012988816946744919, lr = [2.5e-05] +[2024-05-16 18:29:56,824] - INFO: Epoch 1677/9999, Iter 83840: Loss = 0.012310934253036976, lr = [2.5e-05] +[2024-05-16 18:30:16,067] - INFO: Epoch 1678/9999, Iter 83860: Loss = 0.014484566636383533, lr = [2.5e-05] +[2024-05-16 18:30:34,444] - INFO: Epoch 1678/9999, Iter 83880: Loss = 0.011371915228664875, lr = [2.5e-05] +[2024-05-16 18:30:53,404] - INFO: Epoch 1679/9999, Iter 83900: Loss = 0.009804915636777878, lr = [2.5e-05] +[2024-05-16 18:31:11,457] - INFO: Epoch 1679/9999, Iter 83920: Loss = 0.014909659512341022, lr = [2.5e-05] +[2024-05-16 18:31:28,506] - INFO: Epoch 1679/9999, Iter 83940: Loss = 0.012215718626976013, lr = [2.5e-05] +[2024-05-16 18:31:47,308] - INFO: Epoch 1680/9999, Iter 83960: Loss = 0.0074683902785182, lr = [2.5e-05] +[2024-05-16 18:32:04,406] - INFO: Epoch 1680/9999, Iter 83980: Loss = 0.008319379761815071, lr = [2.5e-05] +[2024-05-16 18:32:21,570] - INFO: Evaluate at epoch 1680! +[2024-05-16 18:32:25,224] - INFO: Eval PSNR (max): 37.965 (1620) SSIM (max): 0.9607 (1520) +[2024-05-16 18:32:25,225] - INFO: Eval PSNR (current): 37.950 (1680) SSIM (current): 0.9606 (1680) +[2024-05-16 18:32:25,225] - INFO: Evaluation over. +[2024-05-16 18:32:31,191] - INFO: Epoch 1681/9999, Iter 84000: Loss = 0.016182800754904747, lr = [2.5e-05] +[2024-05-16 18:32:48,592] - INFO: Epoch 1681/9999, Iter 84020: Loss = 0.020289519801735878, lr = [2.5e-05] +[2024-05-16 18:33:05,993] - INFO: Epoch 1681/9999, Iter 84040: Loss = 0.011816064827144146, lr = [2.5e-05] +[2024-05-16 18:33:24,908] - INFO: Epoch 1682/9999, Iter 84060: Loss = 0.014375857077538967, lr = [2.5e-05] +[2024-05-16 18:33:42,452] - INFO: Epoch 1682/9999, Iter 84080: Loss = 0.014887387864291668, lr = [2.5e-05] +[2024-05-16 18:34:01,948] - INFO: Epoch 1683/9999, Iter 84100: Loss = 0.012573693878948689, lr = [2.5e-05] +[2024-05-16 18:34:19,553] - INFO: Epoch 1683/9999, Iter 84120: Loss = 0.013538528233766556, lr = [2.5e-05] +[2024-05-16 18:34:37,828] - INFO: Epoch 1683/9999, Iter 84140: Loss = 0.007719377055764198, lr = [2.5e-05] +[2024-05-16 18:34:56,832] - INFO: Epoch 1684/9999, Iter 84160: Loss = 0.01646309345960617, lr = [2.5e-05] +[2024-05-16 18:35:14,856] - INFO: Epoch 1684/9999, Iter 84180: Loss = 0.016107629984617233, lr = [2.5e-05] +[2024-05-16 18:35:33,781] - INFO: Epoch 1685/9999, Iter 84200: Loss = 0.014115517027676105, lr = [2.5e-05] +[2024-05-16 18:35:51,856] - INFO: Epoch 1685/9999, Iter 84220: Loss = 0.012885947711765766, lr = [2.5e-05] +[2024-05-16 18:36:09,732] - INFO: Epoch 1685/9999, Iter 84240: Loss = 0.01316025573760271, lr = [2.5e-05] +[2024-05-16 18:36:17,222] - INFO: Evaluate at epoch 1685! +[2024-05-16 18:36:20,852] - INFO: Eval PSNR (max): 37.965 (1620) SSIM (max): 0.9607 (1520) +[2024-05-16 18:36:20,852] - INFO: Eval PSNR (current): 37.964 (1685) SSIM (current): 0.9607 (1685) +[2024-05-16 18:36:20,852] - INFO: Evaluation over. +[2024-05-16 18:36:35,481] - INFO: Epoch 1686/9999, Iter 84260: Loss = 0.017373934388160706, lr = [2.5e-05] +[2024-05-16 18:36:53,090] - INFO: Epoch 1686/9999, Iter 84280: Loss = 0.013583125546574593, lr = [2.5e-05] +[2024-05-16 18:37:12,430] - INFO: Epoch 1687/9999, Iter 84300: Loss = 0.008602253161370754, lr = [2.5e-05] +[2024-05-16 18:37:30,788] - INFO: Epoch 1687/9999, Iter 84320: Loss = 0.014300254173576832, lr = [2.5e-05] +[2024-05-16 18:37:48,967] - INFO: Epoch 1687/9999, Iter 84340: Loss = 0.012703620828688145, lr = [2.5e-05] +[2024-05-16 18:38:09,350] - INFO: Epoch 1688/9999, Iter 84360: Loss = 0.012638605199754238, lr = [2.5e-05] +[2024-05-16 18:38:26,957] - INFO: Epoch 1688/9999, Iter 84380: Loss = 0.011900661513209343, lr = [2.5e-05] +[2024-05-16 18:38:45,638] - INFO: Epoch 1689/9999, Iter 84400: Loss = 0.016416920349001884, lr = [2.5e-05] +[2024-05-16 18:39:02,936] - INFO: Epoch 1689/9999, Iter 84420: Loss = 0.013417471200227737, lr = [2.5e-05] +[2024-05-16 18:39:20,060] - INFO: Epoch 1689/9999, Iter 84440: Loss = 0.014917424879968166, lr = [2.5e-05] +[2024-05-16 18:39:39,272] - INFO: Epoch 1690/9999, Iter 84460: Loss = 0.016326457262039185, lr = [2.5e-05] +[2024-05-16 18:39:57,357] - INFO: Epoch 1690/9999, Iter 84480: Loss = 0.015507067553699017, lr = [2.5e-05] +[2024-05-16 18:40:13,784] - INFO: Evaluate at epoch 1690! +[2024-05-16 18:40:17,405] - INFO: Eval PSNR (max): 37.965 (1620) SSIM (max): 0.9607 (1520) +[2024-05-16 18:40:17,406] - INFO: Eval PSNR (current): 37.947 (1690) SSIM (current): 0.9606 (1690) +[2024-05-16 18:40:17,406] - INFO: Evaluation over. +[2024-05-16 18:40:23,443] - INFO: Epoch 1691/9999, Iter 84500: Loss = 0.01559064444154501, lr = [2.5e-05] +[2024-05-16 18:40:41,964] - INFO: Epoch 1691/9999, Iter 84520: Loss = 0.012932425364851952, lr = [2.5e-05] +[2024-05-16 18:40:59,667] - INFO: Epoch 1691/9999, Iter 84540: Loss = 0.01571141555905342, lr = [2.5e-05] +[2024-05-16 18:41:18,548] - INFO: Epoch 1692/9999, Iter 84560: Loss = 0.014144529588520527, lr = [2.5e-05] +[2024-05-16 18:41:36,277] - INFO: Epoch 1692/9999, Iter 84580: Loss = 0.013226036913692951, lr = [2.5e-05] +[2024-05-16 18:41:55,139] - INFO: Epoch 1693/9999, Iter 84600: Loss = 0.012759034521877766, lr = [2.5e-05] +[2024-05-16 18:42:13,046] - INFO: Epoch 1693/9999, Iter 84620: Loss = 0.018360797315835953, lr = [2.5e-05] +[2024-05-16 18:42:31,108] - INFO: Epoch 1693/9999, Iter 84640: Loss = 0.012368796393275261, lr = [2.5e-05] +[2024-05-16 18:42:49,748] - INFO: Epoch 1694/9999, Iter 84660: Loss = 0.013880121521651745, lr = [2.5e-05] +[2024-05-16 18:43:06,954] - INFO: Epoch 1694/9999, Iter 84680: Loss = 0.010944435372948647, lr = [2.5e-05] +[2024-05-16 18:43:26,389] - INFO: Epoch 1695/9999, Iter 84700: Loss = 0.017081793397665024, lr = [2.5e-05] +[2024-05-16 18:43:43,460] - INFO: Epoch 1695/9999, Iter 84720: Loss = 0.010801701806485653, lr = [2.5e-05] +[2024-05-16 18:44:01,020] - INFO: Epoch 1695/9999, Iter 84740: Loss = 0.014081491157412529, lr = [2.5e-05] +[2024-05-16 18:44:09,178] - INFO: Evaluate at epoch 1695! +[2024-05-16 18:44:16,766] - INFO: Eval PSNR (max): 37.969 (1695) SSIM (max): 0.9607 (1520) +[2024-05-16 18:44:16,766] - INFO: Eval PSNR (current): 37.969 (1695) SSIM (current): 0.9607 (1695) +[2024-05-16 18:44:16,766] - INFO: Evaluation over. +[2024-05-16 18:44:31,496] - INFO: Epoch 1696/9999, Iter 84760: Loss = 0.009150376543402672, lr = [2.5e-05] +[2024-05-16 18:44:48,852] - INFO: Epoch 1696/9999, Iter 84780: Loss = 0.00947242509573698, lr = [2.5e-05] +[2024-05-16 18:45:07,979] - INFO: Epoch 1697/9999, Iter 84800: Loss = 0.011996163055300713, lr = [2.5e-05] +[2024-05-16 18:45:25,949] - INFO: Epoch 1697/9999, Iter 84820: Loss = 0.009412365034222603, lr = [2.5e-05] +[2024-05-16 18:45:43,580] - INFO: Epoch 1697/9999, Iter 84840: Loss = 0.010069177486002445, lr = [2.5e-05] +[2024-05-16 18:46:02,440] - INFO: Epoch 1698/9999, Iter 84860: Loss = 0.014949927106499672, lr = [2.5e-05] +[2024-05-16 18:46:19,916] - INFO: Epoch 1698/9999, Iter 84880: Loss = 0.015630116686224937, lr = [2.5e-05] +[2024-05-16 18:46:39,245] - INFO: Epoch 1699/9999, Iter 84900: Loss = 0.013051578775048256, lr = [2.5e-05] +[2024-05-16 18:46:57,236] - INFO: Epoch 1699/9999, Iter 84920: Loss = 0.014262418262660503, lr = [2.5e-05] +[2024-05-16 18:47:14,752] - INFO: Epoch 1699/9999, Iter 84940: Loss = 0.01029113493859768, lr = [2.5e-05] +[2024-05-16 18:47:34,167] - INFO: Epoch 1700/9999, Iter 84960: Loss = 0.013692023232579231, lr = [2.5e-05] +[2024-05-16 18:47:52,202] - INFO: Epoch 1700/9999, Iter 84980: Loss = 0.008144982159137726, lr = [2.5e-05] +[2024-05-16 18:48:08,253] - INFO: Evaluate at epoch 1700! +[2024-05-16 18:48:11,777] - INFO: Eval PSNR (max): 37.969 (1695) SSIM (max): 0.9607 (1520) +[2024-05-16 18:48:11,777] - INFO: Eval PSNR (current): 37.941 (1700) SSIM (current): 0.9607 (1700) +[2024-05-16 18:48:11,777] - INFO: Evaluation over. +[2024-05-16 18:48:17,683] - INFO: Epoch 1701/9999, Iter 85000: Loss = 0.01927628368139267, lr = [2.5e-05] +[2024-05-16 18:48:34,890] - INFO: Epoch 1701/9999, Iter 85020: Loss = 0.021822070702910423, lr = [2.5e-05] +[2024-05-16 18:48:53,016] - INFO: Epoch 1701/9999, Iter 85040: Loss = 0.009209497831761837, lr = [2.5e-05] +[2024-05-16 18:49:12,091] - INFO: Epoch 1702/9999, Iter 85060: Loss = 0.011957501992583275, lr = [2.5e-05] +[2024-05-16 18:49:29,871] - INFO: Epoch 1702/9999, Iter 85080: Loss = 0.014957843348383904, lr = [2.5e-05] +[2024-05-16 18:49:48,899] - INFO: Epoch 1703/9999, Iter 85100: Loss = 0.01357300952076912, lr = [2.5e-05] +[2024-05-16 18:50:06,786] - INFO: Epoch 1703/9999, Iter 85120: Loss = 0.016724498942494392, lr = [2.5e-05] +[2024-05-16 18:50:24,646] - INFO: Epoch 1703/9999, Iter 85140: Loss = 0.017847171053290367, lr = [2.5e-05] +[2024-05-16 18:50:43,518] - INFO: Epoch 1704/9999, Iter 85160: Loss = 0.015998655930161476, lr = [2.5e-05] +[2024-05-16 18:51:01,664] - INFO: Epoch 1704/9999, Iter 85180: Loss = 0.013030792586505413, lr = [2.5e-05] +[2024-05-16 18:51:20,793] - INFO: Epoch 1705/9999, Iter 85200: Loss = 0.02100025676190853, lr = [2.5e-05] +[2024-05-16 18:51:38,247] - INFO: Epoch 1705/9999, Iter 85220: Loss = 0.012995700351893902, lr = [2.5e-05] +[2024-05-16 18:51:56,218] - INFO: Epoch 1705/9999, Iter 85240: Loss = 0.017423458397388458, lr = [2.5e-05] +[2024-05-16 18:52:03,844] - INFO: Evaluate at epoch 1705! +[2024-05-16 18:52:07,348] - INFO: Eval PSNR (max): 37.969 (1695) SSIM (max): 0.9607 (1520) +[2024-05-16 18:52:07,349] - INFO: Eval PSNR (current): 37.940 (1705) SSIM (current): 0.9606 (1705) +[2024-05-16 18:52:07,349] - INFO: Evaluation over. +[2024-05-16 18:52:22,196] - INFO: Epoch 1706/9999, Iter 85260: Loss = 0.00633976049721241, lr = [2.5e-05] +[2024-05-16 18:52:40,104] - INFO: Epoch 1706/9999, Iter 85280: Loss = 0.008757682517170906, lr = [2.5e-05] +[2024-05-16 18:52:59,164] - INFO: Epoch 1707/9999, Iter 85300: Loss = 0.012782907113432884, lr = [2.5e-05] +[2024-05-16 18:53:17,176] - INFO: Epoch 1707/9999, Iter 85320: Loss = 0.01648864895105362, lr = [2.5e-05] +[2024-05-16 18:53:35,123] - INFO: Epoch 1707/9999, Iter 85340: Loss = 0.013324922882020473, lr = [2.5e-05] +[2024-05-16 18:53:53,648] - INFO: Epoch 1708/9999, Iter 85360: Loss = 0.011248433962464333, lr = [2.5e-05] +[2024-05-16 18:54:11,272] - INFO: Epoch 1708/9999, Iter 85380: Loss = 0.012815151363611221, lr = [2.5e-05] +[2024-05-16 18:54:30,016] - INFO: Epoch 1709/9999, Iter 85400: Loss = 0.013499331660568714, lr = [2.5e-05] +[2024-05-16 18:54:47,405] - INFO: Epoch 1709/9999, Iter 85420: Loss = 0.011094187386333942, lr = [2.5e-05] +[2024-05-16 18:55:04,958] - INFO: Epoch 1709/9999, Iter 85440: Loss = 0.012583821080625057, lr = [2.5e-05] +[2024-05-16 18:55:23,352] - INFO: Epoch 1710/9999, Iter 85460: Loss = 0.011630557477474213, lr = [2.5e-05] +[2024-05-16 18:55:41,122] - INFO: Epoch 1710/9999, Iter 85480: Loss = 0.010637727566063404, lr = [2.5e-05] +[2024-05-16 18:55:57,728] - INFO: Evaluate at epoch 1710! +[2024-05-16 18:56:01,165] - INFO: Eval PSNR (max): 37.969 (1695) SSIM (max): 0.9607 (1520) +[2024-05-16 18:56:01,165] - INFO: Eval PSNR (current): 37.947 (1710) SSIM (current): 0.9607 (1710) +[2024-05-16 18:56:01,165] - INFO: Evaluation over. +[2024-05-16 18:56:07,100] - INFO: Epoch 1711/9999, Iter 85500: Loss = 0.010819501243531704, lr = [2.5e-05] +[2024-05-16 18:56:24,893] - INFO: Epoch 1711/9999, Iter 85520: Loss = 0.013270414434373379, lr = [2.5e-05] +[2024-05-16 18:56:43,024] - INFO: Epoch 1711/9999, Iter 85540: Loss = 0.013756085187196732, lr = [2.5e-05] +[2024-05-16 18:57:01,506] - INFO: Epoch 1712/9999, Iter 85560: Loss = 0.010860330425202847, lr = [2.5e-05] +[2024-05-16 18:57:19,224] - INFO: Epoch 1712/9999, Iter 85580: Loss = 0.007490312680602074, lr = [2.5e-05] +[2024-05-16 18:57:38,640] - INFO: Epoch 1713/9999, Iter 85600: Loss = 0.011176012456417084, lr = [2.5e-05] +[2024-05-16 18:57:55,889] - INFO: Epoch 1713/9999, Iter 85620: Loss = 0.013290274888277054, lr = [2.5e-05] +[2024-05-16 18:58:13,961] - INFO: Epoch 1713/9999, Iter 85640: Loss = 0.011962895281612873, lr = [2.5e-05] +[2024-05-16 18:58:33,084] - INFO: Epoch 1714/9999, Iter 85660: Loss = 0.009806612506508827, lr = [2.5e-05] +[2024-05-16 18:58:51,198] - INFO: Epoch 1714/9999, Iter 85680: Loss = 0.011052996851503849, lr = [2.5e-05] +[2024-05-16 18:59:09,761] - INFO: Epoch 1715/9999, Iter 85700: Loss = 0.013509026728570461, lr = [2.5e-05] +[2024-05-16 18:59:28,504] - INFO: Epoch 1715/9999, Iter 85720: Loss = 0.013271071016788483, lr = [2.5e-05] +[2024-05-16 18:59:45,798] - INFO: Epoch 1715/9999, Iter 85740: Loss = 0.01799379475414753, lr = [2.5e-05] +[2024-05-16 18:59:53,584] - INFO: Evaluate at epoch 1715! +[2024-05-16 18:59:56,958] - INFO: Eval PSNR (max): 37.969 (1695) SSIM (max): 0.9607 (1520) +[2024-05-16 18:59:56,958] - INFO: Eval PSNR (current): 37.945 (1715) SSIM (current): 0.9607 (1715) +[2024-05-16 18:59:56,959] - INFO: Evaluation over. +[2024-05-16 19:00:11,996] - INFO: Epoch 1716/9999, Iter 85760: Loss = 0.010689808987081051, lr = [2.5e-05] +[2024-05-16 19:00:29,485] - INFO: Epoch 1716/9999, Iter 85780: Loss = 0.014480547048151493, lr = [2.5e-05] +[2024-05-16 19:00:48,779] - INFO: Epoch 1717/9999, Iter 85800: Loss = 0.015766693279147148, lr = [2.5e-05] +[2024-05-16 19:01:05,708] - INFO: Epoch 1717/9999, Iter 85820: Loss = 0.015242927707731724, lr = [2.5e-05] +[2024-05-16 19:01:23,582] - INFO: Epoch 1717/9999, Iter 85840: Loss = 0.01910044066607952, lr = [2.5e-05] +[2024-05-16 19:01:43,142] - INFO: Epoch 1718/9999, Iter 85860: Loss = 0.012110946699976921, lr = [2.5e-05] +[2024-05-16 19:02:00,620] - INFO: Epoch 1718/9999, Iter 85880: Loss = 0.013213937170803547, lr = [2.5e-05] +[2024-05-16 19:02:20,068] - INFO: Epoch 1719/9999, Iter 85900: Loss = 0.010973536409437656, lr = [2.5e-05] +[2024-05-16 19:02:37,862] - INFO: Epoch 1719/9999, Iter 85920: Loss = 0.01263261865824461, lr = [2.5e-05] +[2024-05-16 19:02:55,076] - INFO: Epoch 1719/9999, Iter 85940: Loss = 0.013251370750367641, lr = [2.5e-05] +[2024-05-16 19:03:14,850] - INFO: Epoch 1720/9999, Iter 85960: Loss = 0.014030813239514828, lr = [2.5e-05] +[2024-05-16 19:03:32,500] - INFO: Epoch 1720/9999, Iter 85980: Loss = 0.015059636905789375, lr = [2.5e-05] +[2024-05-16 19:03:49,465] - INFO: Evaluate at epoch 1720! +[2024-05-16 19:03:53,313] - INFO: Eval PSNR (max): 37.969 (1695) SSIM (max): 0.9607 (1520) +[2024-05-16 19:03:53,313] - INFO: Eval PSNR (current): 37.952 (1720) SSIM (current): 0.9606 (1720) +[2024-05-16 19:03:53,313] - INFO: Evaluation over. +[2024-05-16 19:03:59,356] - INFO: Epoch 1721/9999, Iter 86000: Loss = 0.016070237383246422, lr = [2.5e-05] +[2024-05-16 19:04:17,043] - INFO: Epoch 1721/9999, Iter 86020: Loss = 0.013509690761566162, lr = [2.5e-05] +[2024-05-16 19:04:34,860] - INFO: Epoch 1721/9999, Iter 86040: Loss = 0.012024665251374245, lr = [2.5e-05] +[2024-05-16 19:04:53,740] - INFO: Epoch 1722/9999, Iter 86060: Loss = 0.013677151873707771, lr = [2.5e-05] +[2024-05-16 19:05:10,970] - INFO: Epoch 1722/9999, Iter 86080: Loss = 0.014721435494720936, lr = [2.5e-05] +[2024-05-16 19:05:30,117] - INFO: Epoch 1723/9999, Iter 86100: Loss = 0.01000452134758234, lr = [2.5e-05] +[2024-05-16 19:05:47,012] - INFO: Epoch 1723/9999, Iter 86120: Loss = 0.014211258850991726, lr = [2.5e-05] +[2024-05-16 19:06:04,763] - INFO: Epoch 1723/9999, Iter 86140: Loss = 0.01285923458635807, lr = [2.5e-05] +[2024-05-16 19:06:24,115] - INFO: Epoch 1724/9999, Iter 86160: Loss = 0.013653506524860859, lr = [2.5e-05] +[2024-05-16 19:06:41,270] - INFO: Epoch 1724/9999, Iter 86180: Loss = 0.009139780886471272, lr = [2.5e-05] +[2024-05-16 19:07:00,733] - INFO: Epoch 1725/9999, Iter 86200: Loss = 0.009979980066418648, lr = [2.5e-05] +[2024-05-16 19:07:19,136] - INFO: Epoch 1725/9999, Iter 86220: Loss = 0.011719368398189545, lr = [2.5e-05] +[2024-05-16 19:07:37,096] - INFO: Epoch 1725/9999, Iter 86240: Loss = 0.009827375411987305, lr = [2.5e-05] +[2024-05-16 19:07:44,748] - INFO: Evaluate at epoch 1725! +[2024-05-16 19:07:48,339] - INFO: Eval PSNR (max): 37.969 (1695) SSIM (max): 0.9607 (1520) +[2024-05-16 19:07:48,339] - INFO: Eval PSNR (current): 37.960 (1725) SSIM (current): 0.9606 (1725) +[2024-05-16 19:07:48,339] - INFO: Evaluation over. +[2024-05-16 19:08:03,393] - INFO: Epoch 1726/9999, Iter 86260: Loss = 0.014143669046461582, lr = [2.5e-05] +[2024-05-16 19:08:20,782] - INFO: Epoch 1726/9999, Iter 86280: Loss = 0.015863891690969467, lr = [2.5e-05] +[2024-05-16 19:08:40,062] - INFO: Epoch 1727/9999, Iter 86300: Loss = 0.007930235005915165, lr = [2.5e-05] +[2024-05-16 19:08:58,200] - INFO: Epoch 1727/9999, Iter 86320: Loss = 0.021600408479571342, lr = [2.5e-05] +[2024-05-16 19:09:16,203] - INFO: Epoch 1727/9999, Iter 86340: Loss = 0.014279442839324474, lr = [2.5e-05] +[2024-05-16 19:09:35,405] - INFO: Epoch 1728/9999, Iter 86360: Loss = 0.012554829008877277, lr = [2.5e-05] +[2024-05-16 19:09:53,401] - INFO: Epoch 1728/9999, Iter 86380: Loss = 0.01003946177661419, lr = [2.5e-05] +[2024-05-16 19:10:12,688] - INFO: Epoch 1729/9999, Iter 86400: Loss = 0.013395373709499836, lr = [2.5e-05] +[2024-05-16 19:10:29,848] - INFO: Epoch 1729/9999, Iter 86420: Loss = 0.018161335960030556, lr = [2.5e-05] +[2024-05-16 19:10:47,332] - INFO: Epoch 1729/9999, Iter 86440: Loss = 0.010055551305413246, lr = [2.5e-05] +[2024-05-16 19:11:06,616] - INFO: Epoch 1730/9999, Iter 86460: Loss = 0.014283365570008755, lr = [2.5e-05] +[2024-05-16 19:11:24,425] - INFO: Epoch 1730/9999, Iter 86480: Loss = 0.012731002643704414, lr = [2.5e-05] +[2024-05-16 19:11:41,287] - INFO: Evaluate at epoch 1730! +[2024-05-16 19:11:44,821] - INFO: Eval PSNR (max): 37.969 (1695) SSIM (max): 0.9607 (1520) +[2024-05-16 19:11:44,821] - INFO: Eval PSNR (current): 37.920 (1730) SSIM (current): 0.9606 (1730) +[2024-05-16 19:11:44,821] - INFO: Evaluation over. +[2024-05-16 19:11:50,739] - INFO: Epoch 1731/9999, Iter 86500: Loss = 0.009194835089147091, lr = [2.5e-05] +[2024-05-16 19:12:08,288] - INFO: Epoch 1731/9999, Iter 86520: Loss = 0.016856323927640915, lr = [2.5e-05] +[2024-05-16 19:12:26,406] - INFO: Epoch 1731/9999, Iter 86540: Loss = 0.012315469793975353, lr = [2.5e-05] +[2024-05-16 19:12:45,720] - INFO: Epoch 1732/9999, Iter 86560: Loss = 0.018262622877955437, lr = [2.5e-05] +[2024-05-16 19:13:03,815] - INFO: Epoch 1732/9999, Iter 86580: Loss = 0.011899796314537525, lr = [2.5e-05] +[2024-05-16 19:13:22,768] - INFO: Epoch 1733/9999, Iter 86600: Loss = 0.01194235123693943, lr = [2.5e-05] +[2024-05-16 19:13:39,635] - INFO: Epoch 1733/9999, Iter 86620: Loss = 0.01128882821649313, lr = [2.5e-05] +[2024-05-16 19:13:57,382] - INFO: Epoch 1733/9999, Iter 86640: Loss = 0.013069589622318745, lr = [2.5e-05] +[2024-05-16 19:14:16,484] - INFO: Epoch 1734/9999, Iter 86660: Loss = 0.010046708397567272, lr = [2.5e-05] +[2024-05-16 19:14:33,804] - INFO: Epoch 1734/9999, Iter 86680: Loss = 0.013895891606807709, lr = [2.5e-05] +[2024-05-16 19:14:53,303] - INFO: Epoch 1735/9999, Iter 86700: Loss = 0.013614405877888203, lr = [2.5e-05] +[2024-05-16 19:15:11,062] - INFO: Epoch 1735/9999, Iter 86720: Loss = 0.010966540314257145, lr = [2.5e-05] +[2024-05-16 19:15:29,285] - INFO: Epoch 1735/9999, Iter 86740: Loss = 0.012696045450866222, lr = [2.5e-05] +[2024-05-16 19:15:36,627] - INFO: Evaluate at epoch 1735! +[2024-05-16 19:15:40,132] - INFO: Eval PSNR (max): 37.969 (1695) SSIM (max): 0.9607 (1520) +[2024-05-16 19:15:40,132] - INFO: Eval PSNR (current): 37.961 (1735) SSIM (current): 0.9607 (1735) +[2024-05-16 19:15:40,132] - INFO: Evaluation over. +[2024-05-16 19:15:55,522] - INFO: Epoch 1736/9999, Iter 86760: Loss = 0.017610199749469757, lr = [2.5e-05] +[2024-05-16 19:16:13,662] - INFO: Epoch 1736/9999, Iter 86780: Loss = 0.01109555084258318, lr = [2.5e-05] +[2024-05-16 19:16:33,036] - INFO: Epoch 1737/9999, Iter 86800: Loss = 0.01343365479260683, lr = [2.5e-05] +[2024-05-16 19:16:50,898] - INFO: Epoch 1737/9999, Iter 86820: Loss = 0.011576961725950241, lr = [2.5e-05] +[2024-05-16 19:17:08,692] - INFO: Epoch 1737/9999, Iter 86840: Loss = 0.011388042941689491, lr = [2.5e-05] +[2024-05-16 19:17:27,139] - INFO: Epoch 1738/9999, Iter 86860: Loss = 0.02020878717303276, lr = [2.5e-05] +[2024-05-16 19:17:45,181] - INFO: Epoch 1738/9999, Iter 86880: Loss = 0.013881906867027283, lr = [2.5e-05] +[2024-05-16 19:18:04,040] - INFO: Epoch 1739/9999, Iter 86900: Loss = 0.01407352089881897, lr = [2.5e-05] +[2024-05-16 19:18:21,406] - INFO: Epoch 1739/9999, Iter 86920: Loss = 0.010535296984016895, lr = [2.5e-05] +[2024-05-16 19:18:39,480] - INFO: Epoch 1739/9999, Iter 86940: Loss = 0.017105331644415855, lr = [2.5e-05] +[2024-05-16 19:18:58,503] - INFO: Epoch 1740/9999, Iter 86960: Loss = 0.015573115088045597, lr = [2.5e-05] +[2024-05-16 19:19:16,521] - INFO: Epoch 1740/9999, Iter 86980: Loss = 0.014226497150957584, lr = [2.5e-05] +[2024-05-16 19:19:32,756] - INFO: Evaluate at epoch 1740! +[2024-05-16 19:19:36,224] - INFO: Eval PSNR (max): 37.969 (1695) SSIM (max): 0.9607 (1520) +[2024-05-16 19:19:36,224] - INFO: Eval PSNR (current): 37.948 (1740) SSIM (current): 0.9607 (1740) +[2024-05-16 19:19:36,224] - INFO: Evaluation over. +[2024-05-16 19:19:42,260] - INFO: Epoch 1741/9999, Iter 87000: Loss = 0.011015938594937325, lr = [2.5e-05] +[2024-05-16 19:20:00,588] - INFO: Epoch 1741/9999, Iter 87020: Loss = 0.01110792625695467, lr = [2.5e-05] +[2024-05-16 19:20:18,711] - INFO: Epoch 1741/9999, Iter 87040: Loss = 0.01590419001877308, lr = [2.5e-05] +[2024-05-16 19:20:37,352] - INFO: Epoch 1742/9999, Iter 87060: Loss = 0.014836663380265236, lr = [2.5e-05] +[2024-05-16 19:20:55,106] - INFO: Epoch 1742/9999, Iter 87080: Loss = 0.018586261197924614, lr = [2.5e-05] +[2024-05-16 19:21:14,208] - INFO: Epoch 1743/9999, Iter 87100: Loss = 0.012869254685938358, lr = [2.5e-05] +[2024-05-16 19:21:31,534] - INFO: Epoch 1743/9999, Iter 87120: Loss = 0.011519048362970352, lr = [2.5e-05] +[2024-05-16 19:21:49,662] - INFO: Epoch 1743/9999, Iter 87140: Loss = 0.011025202460587025, lr = [2.5e-05] +[2024-05-16 19:22:08,619] - INFO: Epoch 1744/9999, Iter 87160: Loss = 0.009452580474317074, lr = [2.5e-05] +[2024-05-16 19:22:26,736] - INFO: Epoch 1744/9999, Iter 87180: Loss = 0.015035003423690796, lr = [2.5e-05] +[2024-05-16 19:22:45,784] - INFO: Epoch 1745/9999, Iter 87200: Loss = 0.009828925132751465, lr = [2.5e-05] +[2024-05-16 19:23:03,389] - INFO: Epoch 1745/9999, Iter 87220: Loss = 0.015514473430812359, lr = [2.5e-05] +[2024-05-16 19:23:21,885] - INFO: Epoch 1745/9999, Iter 87240: Loss = 0.013001197017729282, lr = [2.5e-05] +[2024-05-16 19:23:29,470] - INFO: Evaluate at epoch 1745! +[2024-05-16 19:23:32,845] - INFO: Eval PSNR (max): 37.969 (1695) SSIM (max): 0.9607 (1520) +[2024-05-16 19:23:32,845] - INFO: Eval PSNR (current): 37.938 (1745) SSIM (current): 0.9607 (1745) +[2024-05-16 19:23:32,845] - INFO: Evaluation over. +[2024-05-16 19:23:47,456] - INFO: Epoch 1746/9999, Iter 87260: Loss = 0.014553667977452278, lr = [2.5e-05] +[2024-05-16 19:24:05,332] - INFO: Epoch 1746/9999, Iter 87280: Loss = 0.01999676413834095, lr = [2.5e-05] +[2024-05-16 19:24:24,885] - INFO: Epoch 1747/9999, Iter 87300: Loss = 0.00909049529582262, lr = [2.5e-05] +[2024-05-16 19:24:43,161] - INFO: Epoch 1747/9999, Iter 87320: Loss = 0.014611429534852505, lr = [2.5e-05] +[2024-05-16 19:25:01,009] - INFO: Epoch 1747/9999, Iter 87340: Loss = 0.010930037125945091, lr = [2.5e-05] +[2024-05-16 19:25:19,970] - INFO: Epoch 1748/9999, Iter 87360: Loss = 0.015499459579586983, lr = [2.5e-05] +[2024-05-16 19:25:38,036] - INFO: Epoch 1748/9999, Iter 87380: Loss = 0.015345942229032516, lr = [2.5e-05] +[2024-05-16 19:25:56,556] - INFO: Epoch 1749/9999, Iter 87400: Loss = 0.011778218671679497, lr = [2.5e-05] +[2024-05-16 19:26:13,316] - INFO: Epoch 1749/9999, Iter 87420: Loss = 0.009386728517711163, lr = [2.5e-05] +[2024-05-16 19:26:31,207] - INFO: Epoch 1749/9999, Iter 87440: Loss = 0.014891195110976696, lr = [2.5e-05] +[2024-05-16 19:26:51,523] - INFO: Epoch 1750/9999, Iter 87460: Loss = 0.009180247783660889, lr = [2.5e-05] +[2024-05-16 19:27:09,288] - INFO: Epoch 1750/9999, Iter 87480: Loss = 0.018210582435131073, lr = [2.5e-05] +[2024-05-16 19:27:25,437] - INFO: Evaluate at epoch 1750! +[2024-05-16 19:27:28,869] - INFO: Eval PSNR (max): 37.969 (1695) SSIM (max): 0.9607 (1520) +[2024-05-16 19:27:28,870] - INFO: Eval PSNR (current): 37.942 (1750) SSIM (current): 0.9607 (1750) +[2024-05-16 19:27:28,870] - INFO: Evaluation over. +[2024-05-16 19:27:34,836] - INFO: Epoch 1751/9999, Iter 87500: Loss = 0.015458696521818638, lr = [1.25e-05] +[2024-05-16 19:27:51,979] - INFO: Epoch 1751/9999, Iter 87520: Loss = 0.015371925197541714, lr = [1.25e-05] +[2024-05-16 19:28:09,689] - INFO: Epoch 1751/9999, Iter 87540: Loss = 0.009706592187285423, lr = [1.25e-05] +[2024-05-16 19:28:28,827] - INFO: Epoch 1752/9999, Iter 87560: Loss = 0.01854044944047928, lr = [1.25e-05] +[2024-05-16 19:28:46,890] - INFO: Epoch 1752/9999, Iter 87580: Loss = 0.015284381806850433, lr = [1.25e-05] +[2024-05-16 19:29:06,051] - INFO: Epoch 1753/9999, Iter 87600: Loss = 0.011923913843929768, lr = [1.25e-05] +[2024-05-16 19:29:23,802] - INFO: Epoch 1753/9999, Iter 87620: Loss = 0.011694525368511677, lr = [1.25e-05] +[2024-05-16 19:29:41,262] - INFO: Epoch 1753/9999, Iter 87640: Loss = 0.010871467180550098, lr = [1.25e-05] +[2024-05-16 19:30:00,700] - INFO: Epoch 1754/9999, Iter 87660: Loss = 0.012715313583612442, lr = [1.25e-05] +[2024-05-16 19:30:18,564] - INFO: Epoch 1754/9999, Iter 87680: Loss = 0.0161454938352108, lr = [1.25e-05] +[2024-05-16 19:30:37,308] - INFO: Epoch 1755/9999, Iter 87700: Loss = 0.019536064937710762, lr = [1.25e-05] +[2024-05-16 19:30:54,756] - INFO: Epoch 1755/9999, Iter 87720: Loss = 0.012470049783587456, lr = [1.25e-05] +[2024-05-16 19:31:12,428] - INFO: Epoch 1755/9999, Iter 87740: Loss = 0.01236999686807394, lr = [1.25e-05] +[2024-05-16 19:31:20,554] - INFO: Evaluate at epoch 1755! +[2024-05-16 19:31:24,116] - INFO: Eval PSNR (max): 37.969 (1695) SSIM (max): 0.9607 (1520) +[2024-05-16 19:31:24,116] - INFO: Eval PSNR (current): 37.967 (1755) SSIM (current): 0.9607 (1755) +[2024-05-16 19:31:24,116] - INFO: Evaluation over. +[2024-05-16 19:31:39,316] - INFO: Epoch 1756/9999, Iter 87760: Loss = 0.009569743648171425, lr = [1.25e-05] +[2024-05-16 19:31:57,509] - INFO: Epoch 1756/9999, Iter 87780: Loss = 0.013659609481692314, lr = [1.25e-05] +[2024-05-16 19:32:16,417] - INFO: Epoch 1757/9999, Iter 87800: Loss = 0.014157364144921303, lr = [1.25e-05] +[2024-05-16 19:32:34,496] - INFO: Epoch 1757/9999, Iter 87820: Loss = 0.014744088985025883, lr = [1.25e-05] +[2024-05-16 19:32:51,629] - INFO: Epoch 1757/9999, Iter 87840: Loss = 0.01072033029049635, lr = [1.25e-05] +[2024-05-16 19:33:11,133] - INFO: Epoch 1758/9999, Iter 87860: Loss = 0.012405009008944035, lr = [1.25e-05] +[2024-05-16 19:33:28,221] - INFO: Epoch 1758/9999, Iter 87880: Loss = 0.014232765883207321, lr = [1.25e-05] +[2024-05-16 19:33:47,104] - INFO: Epoch 1759/9999, Iter 87900: Loss = 0.01211727224290371, lr = [1.25e-05] +[2024-05-16 19:34:03,427] - INFO: Epoch 1759/9999, Iter 87920: Loss = 0.01370722521096468, lr = [1.25e-05] +[2024-05-16 19:34:20,833] - INFO: Epoch 1759/9999, Iter 87940: Loss = 0.012535219080746174, lr = [1.25e-05] +[2024-05-16 19:34:40,664] - INFO: Epoch 1760/9999, Iter 87960: Loss = 0.018231138586997986, lr = [1.25e-05] +[2024-05-16 19:34:58,460] - INFO: Epoch 1760/9999, Iter 87980: Loss = 0.01133732683956623, lr = [1.25e-05] +[2024-05-16 19:35:15,008] - INFO: Evaluate at epoch 1760! +[2024-05-16 19:35:18,445] - INFO: Eval PSNR (max): 37.969 (1695) SSIM (max): 0.9607 (1520) +[2024-05-16 19:35:18,445] - INFO: Eval PSNR (current): 37.966 (1760) SSIM (current): 0.9607 (1760) +[2024-05-16 19:35:18,445] - INFO: Evaluation over. +[2024-05-16 19:35:24,535] - INFO: Epoch 1761/9999, Iter 88000: Loss = 0.01609109528362751, lr = [1.25e-05] +[2024-05-16 19:35:42,264] - INFO: Epoch 1761/9999, Iter 88020: Loss = 0.015019940212368965, lr = [1.25e-05] +[2024-05-16 19:36:00,128] - INFO: Epoch 1761/9999, Iter 88040: Loss = 0.010994470678269863, lr = [1.25e-05] +[2024-05-16 19:36:18,848] - INFO: Epoch 1762/9999, Iter 88060: Loss = 0.009298457764089108, lr = [1.25e-05] +[2024-05-16 19:36:36,262] - INFO: Epoch 1762/9999, Iter 88080: Loss = 0.009149148128926754, lr = [1.25e-05] +[2024-05-16 19:36:55,240] - INFO: Epoch 1763/9999, Iter 88100: Loss = 0.01649208925664425, lr = [1.25e-05] +[2024-05-16 19:37:12,404] - INFO: Epoch 1763/9999, Iter 88120: Loss = 0.009693682193756104, lr = [1.25e-05] +[2024-05-16 19:37:30,288] - INFO: Epoch 1763/9999, Iter 88140: Loss = 0.0121561698615551, lr = [1.25e-05] +[2024-05-16 19:37:48,936] - INFO: Epoch 1764/9999, Iter 88160: Loss = 0.014472106471657753, lr = [1.25e-05] +[2024-05-16 19:38:06,092] - INFO: Epoch 1764/9999, Iter 88180: Loss = 0.01597759500145912, lr = [1.25e-05] +[2024-05-16 19:38:25,156] - INFO: Epoch 1765/9999, Iter 88200: Loss = 0.01461908221244812, lr = [1.25e-05] +[2024-05-16 19:38:43,008] - INFO: Epoch 1765/9999, Iter 88220: Loss = 0.012126810848712921, lr = [1.25e-05] +[2024-05-16 19:39:00,812] - INFO: Epoch 1765/9999, Iter 88240: Loss = 0.011811109259724617, lr = [1.25e-05] +[2024-05-16 19:39:08,671] - INFO: Evaluate at epoch 1765! +[2024-05-16 19:39:16,071] - INFO: Eval PSNR (max): 37.969 (1695) SSIM (max): 0.9607 (1765) +[2024-05-16 19:39:16,072] - INFO: Eval PSNR (current): 37.964 (1765) SSIM (current): 0.9607 (1765) +[2024-05-16 19:39:16,072] - INFO: Evaluation over. +[2024-05-16 19:39:30,276] - INFO: Epoch 1766/9999, Iter 88260: Loss = 0.012908898293972015, lr = [1.25e-05] +[2024-05-16 19:39:48,840] - INFO: Epoch 1766/9999, Iter 88280: Loss = 0.017134448513388634, lr = [1.25e-05] +[2024-05-16 19:40:08,336] - INFO: Epoch 1767/9999, Iter 88300: Loss = 0.010054295882582664, lr = [1.25e-05] +[2024-05-16 19:40:26,172] - INFO: Epoch 1767/9999, Iter 88320: Loss = 0.009441043250262737, lr = [1.25e-05] +[2024-05-16 19:40:44,199] - INFO: Epoch 1767/9999, Iter 88340: Loss = 0.021393414586782455, lr = [1.25e-05] +[2024-05-16 19:41:02,838] - INFO: Epoch 1768/9999, Iter 88360: Loss = 0.014388380572199821, lr = [1.25e-05] +[2024-05-16 19:41:21,137] - INFO: Epoch 1768/9999, Iter 88380: Loss = 0.019401298835873604, lr = [1.25e-05] +[2024-05-16 19:41:40,223] - INFO: Epoch 1769/9999, Iter 88400: Loss = 0.012560124509036541, lr = [1.25e-05] +[2024-05-16 19:41:58,246] - INFO: Epoch 1769/9999, Iter 88420: Loss = 0.013936655595898628, lr = [1.25e-05] +[2024-05-16 19:42:16,064] - INFO: Epoch 1769/9999, Iter 88440: Loss = 0.010271971113979816, lr = [1.25e-05] +[2024-05-16 19:42:34,486] - INFO: Epoch 1770/9999, Iter 88460: Loss = 0.011825029738247395, lr = [1.25e-05] +[2024-05-16 19:42:52,093] - INFO: Epoch 1770/9999, Iter 88480: Loss = 0.01289151981472969, lr = [1.25e-05] +[2024-05-16 19:43:08,724] - INFO: Evaluate at epoch 1770! +[2024-05-16 19:43:12,442] - INFO: Eval PSNR (max): 37.969 (1695) SSIM (max): 0.9607 (1765) +[2024-05-16 19:43:12,443] - INFO: Eval PSNR (current): 37.963 (1770) SSIM (current): 0.9607 (1770) +[2024-05-16 19:43:12,443] - INFO: Evaluation over. +[2024-05-16 19:43:18,339] - INFO: Epoch 1771/9999, Iter 88500: Loss = 0.018281364813447, lr = [1.25e-05] +[2024-05-16 19:43:36,377] - INFO: Epoch 1771/9999, Iter 88520: Loss = 0.011114529334008694, lr = [1.25e-05] +[2024-05-16 19:43:54,182] - INFO: Epoch 1771/9999, Iter 88540: Loss = 0.01525520533323288, lr = [1.25e-05] +[2024-05-16 19:44:13,065] - INFO: Epoch 1772/9999, Iter 88560: Loss = 0.01032731682062149, lr = [1.25e-05] +[2024-05-16 19:44:31,288] - INFO: Epoch 1772/9999, Iter 88580: Loss = 0.01223820261657238, lr = [1.25e-05] +[2024-05-16 19:44:50,061] - INFO: Epoch 1773/9999, Iter 88600: Loss = 0.01587928831577301, lr = [1.25e-05] +[2024-05-16 19:45:08,604] - INFO: Epoch 1773/9999, Iter 88620: Loss = 0.013769607990980148, lr = [1.25e-05] +[2024-05-16 19:45:26,124] - INFO: Epoch 1773/9999, Iter 88640: Loss = 0.009490923024713993, lr = [1.25e-05] +[2024-05-16 19:45:45,342] - INFO: Epoch 1774/9999, Iter 88660: Loss = 0.012999869883060455, lr = [1.25e-05] +[2024-05-16 19:46:02,624] - INFO: Epoch 1774/9999, Iter 88680: Loss = 0.012226352468132973, lr = [1.25e-05] +[2024-05-16 19:46:22,057] - INFO: Epoch 1775/9999, Iter 88700: Loss = 0.010409443639218807, lr = [1.25e-05] +[2024-05-16 19:46:39,336] - INFO: Epoch 1775/9999, Iter 88720: Loss = 0.012228458188474178, lr = [1.25e-05] +[2024-05-16 19:46:56,940] - INFO: Epoch 1775/9999, Iter 88740: Loss = 0.01015065424144268, lr = [1.25e-05] +[2024-05-16 19:47:04,701] - INFO: Evaluate at epoch 1775! +[2024-05-16 19:47:08,159] - INFO: Eval PSNR (max): 37.969 (1695) SSIM (max): 0.9607 (1765) +[2024-05-16 19:47:08,159] - INFO: Eval PSNR (current): 37.965 (1775) SSIM (current): 0.9607 (1775) +[2024-05-16 19:47:08,160] - INFO: Evaluation over. +[2024-05-16 19:47:22,728] - INFO: Epoch 1776/9999, Iter 88760: Loss = 0.02017850987613201, lr = [1.25e-05] +[2024-05-16 19:47:41,175] - INFO: Epoch 1776/9999, Iter 88780: Loss = 0.016422685235738754, lr = [1.25e-05] +[2024-05-16 19:48:00,040] - INFO: Epoch 1777/9999, Iter 88800: Loss = 0.018368903547525406, lr = [1.25e-05] +[2024-05-16 19:48:18,128] - INFO: Epoch 1777/9999, Iter 88820: Loss = 0.014645837247371674, lr = [1.25e-05] +[2024-05-16 19:48:36,183] - INFO: Epoch 1777/9999, Iter 88840: Loss = 0.014878754504024982, lr = [1.25e-05] +[2024-05-16 19:48:54,911] - INFO: Epoch 1778/9999, Iter 88860: Loss = 0.015409261919558048, lr = [1.25e-05] +[2024-05-16 19:49:12,336] - INFO: Epoch 1778/9999, Iter 88880: Loss = 0.013149676844477654, lr = [1.25e-05] +[2024-05-16 19:49:32,352] - INFO: Epoch 1779/9999, Iter 88900: Loss = 0.01577684096992016, lr = [1.25e-05] +[2024-05-16 19:49:50,336] - INFO: Epoch 1779/9999, Iter 88920: Loss = 0.008538269437849522, lr = [1.25e-05] +[2024-05-16 19:50:08,374] - INFO: Epoch 1779/9999, Iter 88940: Loss = 0.015598057769238949, lr = [1.25e-05] +[2024-05-16 19:50:27,061] - INFO: Epoch 1780/9999, Iter 88960: Loss = 0.02146747335791588, lr = [1.25e-05] +[2024-05-16 19:50:44,830] - INFO: Epoch 1780/9999, Iter 88980: Loss = 0.01105237752199173, lr = [1.25e-05] +[2024-05-16 19:51:01,428] - INFO: Evaluate at epoch 1780! +[2024-05-16 19:51:04,982] - INFO: Eval PSNR (max): 37.969 (1695) SSIM (max): 0.9607 (1765) +[2024-05-16 19:51:04,983] - INFO: Eval PSNR (current): 37.969 (1780) SSIM (current): 0.9607 (1780) +[2024-05-16 19:51:04,983] - INFO: Evaluation over. +[2024-05-16 19:51:10,760] - INFO: Epoch 1781/9999, Iter 89000: Loss = 0.015049919486045837, lr = [1.25e-05] +[2024-05-16 19:51:28,752] - INFO: Epoch 1781/9999, Iter 89020: Loss = 0.016777247190475464, lr = [1.25e-05] +[2024-05-16 19:51:47,016] - INFO: Epoch 1781/9999, Iter 89040: Loss = 0.010975117795169353, lr = [1.25e-05] +[2024-05-16 19:52:05,692] - INFO: Epoch 1782/9999, Iter 89060: Loss = 0.00946762040257454, lr = [1.25e-05] +[2024-05-16 19:52:23,881] - INFO: Epoch 1782/9999, Iter 89080: Loss = 0.019975367933511734, lr = [1.25e-05] +[2024-05-16 19:52:42,876] - INFO: Epoch 1783/9999, Iter 89100: Loss = 0.010159705765545368, lr = [1.25e-05] +[2024-05-16 19:53:00,733] - INFO: Epoch 1783/9999, Iter 89120: Loss = 0.01333136297762394, lr = [1.25e-05] +[2024-05-16 19:53:18,969] - INFO: Epoch 1783/9999, Iter 89140: Loss = 0.013462570495903492, lr = [1.25e-05] +[2024-05-16 19:53:37,482] - INFO: Epoch 1784/9999, Iter 89160: Loss = 0.01643035002052784, lr = [1.25e-05] +[2024-05-16 19:53:54,885] - INFO: Epoch 1784/9999, Iter 89180: Loss = 0.01299436017870903, lr = [1.25e-05] +[2024-05-16 19:54:13,892] - INFO: Epoch 1785/9999, Iter 89200: Loss = 0.016067110002040863, lr = [1.25e-05] +[2024-05-16 19:54:31,388] - INFO: Epoch 1785/9999, Iter 89220: Loss = 0.01510375551879406, lr = [1.25e-05] +[2024-05-16 19:54:49,001] - INFO: Epoch 1785/9999, Iter 89240: Loss = 0.0076951682567596436, lr = [1.25e-05] +[2024-05-16 19:54:56,807] - INFO: Evaluate at epoch 1785! +[2024-05-16 19:55:03,946] - INFO: Eval PSNR (max): 37.969 (1695) SSIM (max): 0.9607 (1785) +[2024-05-16 19:55:03,947] - INFO: Eval PSNR (current): 37.969 (1785) SSIM (current): 0.9607 (1785) +[2024-05-16 19:55:03,947] - INFO: Evaluation over. +[2024-05-16 19:55:18,936] - INFO: Epoch 1786/9999, Iter 89260: Loss = 0.015325415879487991, lr = [1.25e-05] +[2024-05-16 19:55:36,343] - INFO: Epoch 1786/9999, Iter 89280: Loss = 0.01638418808579445, lr = [1.25e-05] +[2024-05-16 19:55:54,965] - INFO: Epoch 1787/9999, Iter 89300: Loss = 0.013248507864773273, lr = [1.25e-05] +[2024-05-16 19:56:12,296] - INFO: Epoch 1787/9999, Iter 89320: Loss = 0.012479693628847599, lr = [1.25e-05] +[2024-05-16 19:56:29,914] - INFO: Epoch 1787/9999, Iter 89340: Loss = 0.015980271622538567, lr = [1.25e-05] +[2024-05-16 19:56:48,653] - INFO: Epoch 1788/9999, Iter 89360: Loss = 0.008205998688936234, lr = [1.25e-05] +[2024-05-16 19:57:06,339] - INFO: Epoch 1788/9999, Iter 89380: Loss = 0.014147472567856312, lr = [1.25e-05] +[2024-05-16 19:57:25,193] - INFO: Epoch 1789/9999, Iter 89400: Loss = 0.017742495983839035, lr = [1.25e-05] +[2024-05-16 19:57:42,708] - INFO: Epoch 1789/9999, Iter 89420: Loss = 0.012792499735951424, lr = [1.25e-05] +[2024-05-16 19:58:00,456] - INFO: Epoch 1789/9999, Iter 89440: Loss = 0.010512799955904484, lr = [1.25e-05] +[2024-05-16 19:58:18,810] - INFO: Epoch 1790/9999, Iter 89460: Loss = 0.022206619381904602, lr = [1.25e-05] +[2024-05-16 19:58:36,893] - INFO: Epoch 1790/9999, Iter 89480: Loss = 0.011658907867968082, lr = [1.25e-05] +[2024-05-16 19:58:53,494] - INFO: Evaluate at epoch 1790! +[2024-05-16 19:58:57,128] - INFO: Eval PSNR (max): 37.969 (1695) SSIM (max): 0.9607 (1785) +[2024-05-16 19:58:57,129] - INFO: Eval PSNR (current): 37.960 (1790) SSIM (current): 0.9607 (1790) +[2024-05-16 19:58:57,129] - INFO: Evaluation over. +[2024-05-16 19:59:03,153] - INFO: Epoch 1791/9999, Iter 89500: Loss = 0.015242521651089191, lr = [1.25e-05] +[2024-05-16 19:59:20,468] - INFO: Epoch 1791/9999, Iter 89520: Loss = 0.008444512262940407, lr = [1.25e-05] +[2024-05-16 19:59:37,984] - INFO: Epoch 1791/9999, Iter 89540: Loss = 0.01950267143547535, lr = [1.25e-05] +[2024-05-16 19:59:57,149] - INFO: Epoch 1792/9999, Iter 89560: Loss = 0.007152007892727852, lr = [1.25e-05] +[2024-05-16 20:00:14,443] - INFO: Epoch 1792/9999, Iter 89580: Loss = 0.014457883313298225, lr = [1.25e-05] +[2024-05-16 20:00:33,724] - INFO: Epoch 1793/9999, Iter 89600: Loss = 0.016144169494509697, lr = [1.25e-05] +[2024-05-16 20:00:51,858] - INFO: Epoch 1793/9999, Iter 89620: Loss = 0.011544431559741497, lr = [1.25e-05] +[2024-05-16 20:01:09,715] - INFO: Epoch 1793/9999, Iter 89640: Loss = 0.013250005431473255, lr = [1.25e-05] +[2024-05-16 20:01:29,028] - INFO: Epoch 1794/9999, Iter 89660: Loss = 0.019705859944224358, lr = [1.25e-05] +[2024-05-16 20:01:46,882] - INFO: Epoch 1794/9999, Iter 89680: Loss = 0.01377798430621624, lr = [1.25e-05] +[2024-05-16 20:02:05,925] - INFO: Epoch 1795/9999, Iter 89700: Loss = 0.010620953515172005, lr = [1.25e-05] +[2024-05-16 20:02:23,664] - INFO: Epoch 1795/9999, Iter 89720: Loss = 0.014408404007554054, lr = [1.25e-05] +[2024-05-16 20:02:41,448] - INFO: Epoch 1795/9999, Iter 89740: Loss = 0.01072910986840725, lr = [1.25e-05] +[2024-05-16 20:02:49,183] - INFO: Evaluate at epoch 1795! +[2024-05-16 20:02:52,682] - INFO: Eval PSNR (max): 37.969 (1695) SSIM (max): 0.9607 (1785) +[2024-05-16 20:02:52,682] - INFO: Eval PSNR (current): 37.962 (1795) SSIM (current): 0.9607 (1795) +[2024-05-16 20:02:52,682] - INFO: Evaluation over. +[2024-05-16 20:03:07,394] - INFO: Epoch 1796/9999, Iter 89760: Loss = 0.013384118676185608, lr = [1.25e-05] +[2024-05-16 20:03:25,445] - INFO: Epoch 1796/9999, Iter 89780: Loss = 0.013267206028103828, lr = [1.25e-05] +[2024-05-16 20:03:45,036] - INFO: Epoch 1797/9999, Iter 89800: Loss = 0.013631628826260567, lr = [1.25e-05] +[2024-05-16 20:04:02,851] - INFO: Epoch 1797/9999, Iter 89820: Loss = 0.015862734988331795, lr = [1.25e-05] +[2024-05-16 20:04:21,152] - INFO: Epoch 1797/9999, Iter 89840: Loss = 0.014484134502708912, lr = [1.25e-05] +[2024-05-16 20:04:40,179] - INFO: Epoch 1798/9999, Iter 89860: Loss = 0.012385266833007336, lr = [1.25e-05] +[2024-05-16 20:04:58,168] - INFO: Epoch 1798/9999, Iter 89880: Loss = 0.009289655834436417, lr = [1.25e-05] +[2024-05-16 20:05:17,197] - INFO: Epoch 1799/9999, Iter 89900: Loss = 0.013786851428449154, lr = [1.25e-05] +[2024-05-16 20:05:34,061] - INFO: Epoch 1799/9999, Iter 89920: Loss = 0.009100185707211494, lr = [1.25e-05] +[2024-05-16 20:05:51,193] - INFO: Epoch 1799/9999, Iter 89940: Loss = 0.012384925968945026, lr = [1.25e-05] +[2024-05-16 20:06:10,875] - INFO: Epoch 1800/9999, Iter 89960: Loss = 0.0100765535607934, lr = [1.25e-05] +[2024-05-16 20:06:28,471] - INFO: Epoch 1800/9999, Iter 89980: Loss = 0.009102053008973598, lr = [1.25e-05] +[2024-05-16 20:06:45,429] - INFO: Evaluate at epoch 1800! +[2024-05-16 20:06:52,991] - INFO: Eval PSNR (max): 37.974 (1800) SSIM (max): 0.9607 (1785) +[2024-05-16 20:06:52,991] - INFO: Eval PSNR (current): 37.974 (1800) SSIM (current): 0.9607 (1800) +[2024-05-16 20:06:52,992] - INFO: Evaluation over. +[2024-05-16 20:06:58,878] - INFO: Epoch 1801/9999, Iter 90000: Loss = 0.014082180336117744, lr = [1.25e-05] +[2024-05-16 20:07:16,333] - INFO: Epoch 1801/9999, Iter 90020: Loss = 0.01218290627002716, lr = [1.25e-05] +[2024-05-16 20:07:34,824] - INFO: Epoch 1801/9999, Iter 90040: Loss = 0.016680950298905373, lr = [1.25e-05] +[2024-05-16 20:07:53,521] - INFO: Epoch 1802/9999, Iter 90060: Loss = 0.019681809470057487, lr = [1.25e-05] +[2024-05-16 20:08:11,257] - INFO: Epoch 1802/9999, Iter 90080: Loss = 0.017919452860951424, lr = [1.25e-05] +[2024-05-16 20:08:30,217] - INFO: Epoch 1803/9999, Iter 90100: Loss = 0.011389081366360188, lr = [1.25e-05] +[2024-05-16 20:08:47,321] - INFO: Epoch 1803/9999, Iter 90120: Loss = 0.017729585990309715, lr = [1.25e-05] +[2024-05-16 20:09:04,653] - INFO: Epoch 1803/9999, Iter 90140: Loss = 0.013183126226067543, lr = [1.25e-05] +[2024-05-16 20:09:24,240] - INFO: Epoch 1804/9999, Iter 90160: Loss = 0.009000238962471485, lr = [1.25e-05] +[2024-05-16 20:09:42,097] - INFO: Epoch 1804/9999, Iter 90180: Loss = 0.012096303515136242, lr = [1.25e-05] +[2024-05-16 20:10:01,592] - INFO: Epoch 1805/9999, Iter 90200: Loss = 0.014917866326868534, lr = [1.25e-05] +[2024-05-16 20:10:19,129] - INFO: Epoch 1805/9999, Iter 90220: Loss = 0.014813991263508797, lr = [1.25e-05] +[2024-05-16 20:10:37,716] - INFO: Epoch 1805/9999, Iter 90240: Loss = 0.013292272575199604, lr = [1.25e-05] +[2024-05-16 20:10:45,224] - INFO: Evaluate at epoch 1805! +[2024-05-16 20:10:55,696] - INFO: Eval PSNR (max): 37.974 (1805) SSIM (max): 0.9608 (1805) +[2024-05-16 20:10:55,696] - INFO: Eval PSNR (current): 37.974 (1805) SSIM (current): 0.9608 (1805) +[2024-05-16 20:10:55,696] - INFO: Evaluation over. +[2024-05-16 20:11:11,025] - INFO: Epoch 1806/9999, Iter 90260: Loss = 0.013892256654798985, lr = [1.25e-05] +[2024-05-16 20:11:29,099] - INFO: Epoch 1806/9999, Iter 90280: Loss = 0.01021522656083107, lr = [1.25e-05] +[2024-05-16 20:11:48,368] - INFO: Epoch 1807/9999, Iter 90300: Loss = 0.0132653983309865, lr = [1.25e-05] +[2024-05-16 20:12:05,804] - INFO: Epoch 1807/9999, Iter 90320: Loss = 0.013627738691866398, lr = [1.25e-05] +[2024-05-16 20:12:23,578] - INFO: Epoch 1807/9999, Iter 90340: Loss = 0.013262894935905933, lr = [1.25e-05] +[2024-05-16 20:12:43,303] - INFO: Epoch 1808/9999, Iter 90360: Loss = 0.015447353012859821, lr = [1.25e-05] +[2024-05-16 20:13:01,304] - INFO: Epoch 1808/9999, Iter 90380: Loss = 0.014087109826505184, lr = [1.25e-05] +[2024-05-16 20:13:20,375] - INFO: Epoch 1809/9999, Iter 90400: Loss = 0.012902489863336086, lr = [1.25e-05] +[2024-05-16 20:13:37,308] - INFO: Epoch 1809/9999, Iter 90420: Loss = 0.010916045866906643, lr = [1.25e-05] +[2024-05-16 20:13:54,952] - INFO: Epoch 1809/9999, Iter 90440: Loss = 0.013641483150422573, lr = [1.25e-05] +[2024-05-16 20:14:14,922] - INFO: Epoch 1810/9999, Iter 90460: Loss = 0.018185529857873917, lr = [1.25e-05] +[2024-05-16 20:14:32,795] - INFO: Epoch 1810/9999, Iter 90480: Loss = 0.01353747770190239, lr = [1.25e-05] +[2024-05-16 20:14:49,474] - INFO: Evaluate at epoch 1810! +[2024-05-16 20:14:56,571] - INFO: Eval PSNR (max): 37.974 (1805) SSIM (max): 0.9608 (1810) +[2024-05-16 20:14:56,571] - INFO: Eval PSNR (current): 37.958 (1810) SSIM (current): 0.9608 (1810) +[2024-05-16 20:14:56,572] - INFO: Evaluation over. +[2024-05-16 20:15:02,597] - INFO: Epoch 1811/9999, Iter 90500: Loss = 0.00897383876144886, lr = [1.25e-05] +[2024-05-16 20:15:20,557] - INFO: Epoch 1811/9999, Iter 90520: Loss = 0.015989279374480247, lr = [1.25e-05] +[2024-05-16 20:15:38,823] - INFO: Epoch 1811/9999, Iter 90540: Loss = 0.01619894802570343, lr = [1.25e-05] +[2024-05-16 20:15:58,254] - INFO: Epoch 1812/9999, Iter 90560: Loss = 0.011472560465335846, lr = [1.25e-05] +[2024-05-16 20:16:16,543] - INFO: Epoch 1812/9999, Iter 90580: Loss = 0.009966186247766018, lr = [1.25e-05] +[2024-05-16 20:16:35,272] - INFO: Epoch 1813/9999, Iter 90600: Loss = 0.022150112316012383, lr = [1.25e-05] +[2024-05-16 20:16:53,279] - INFO: Epoch 1813/9999, Iter 90620: Loss = 0.00981116108596325, lr = [1.25e-05] +[2024-05-16 20:17:11,212] - INFO: Epoch 1813/9999, Iter 90640: Loss = 0.01132898312062025, lr = [1.25e-05] +[2024-05-16 20:17:30,660] - INFO: Epoch 1814/9999, Iter 90660: Loss = 0.00734720379114151, lr = [1.25e-05] +[2024-05-16 20:17:48,866] - INFO: Epoch 1814/9999, Iter 90680: Loss = 0.011554724536836147, lr = [1.25e-05] +[2024-05-16 20:18:07,872] - INFO: Epoch 1815/9999, Iter 90700: Loss = 0.0175158828496933, lr = [1.25e-05] +[2024-05-16 20:18:26,000] - INFO: Epoch 1815/9999, Iter 90720: Loss = 0.010893531143665314, lr = [1.25e-05] +[2024-05-16 20:18:43,699] - INFO: Epoch 1815/9999, Iter 90740: Loss = 0.00904632918536663, lr = [1.25e-05] +[2024-05-16 20:18:51,792] - INFO: Evaluate at epoch 1815! +[2024-05-16 20:18:55,171] - INFO: Eval PSNR (max): 37.974 (1805) SSIM (max): 0.9608 (1810) +[2024-05-16 20:18:55,171] - INFO: Eval PSNR (current): 37.966 (1815) SSIM (current): 0.9607 (1815) +[2024-05-16 20:18:55,171] - INFO: Evaluation over. +[2024-05-16 20:19:09,742] - INFO: Epoch 1816/9999, Iter 90760: Loss = 0.022466691210865974, lr = [1.25e-05] +[2024-05-16 20:19:27,764] - INFO: Epoch 1816/9999, Iter 90780: Loss = 0.011574635282158852, lr = [1.25e-05] +[2024-05-16 20:19:46,383] - INFO: Epoch 1817/9999, Iter 90800: Loss = 0.01491966936737299, lr = [1.25e-05] +[2024-05-16 20:20:04,323] - INFO: Epoch 1817/9999, Iter 90820: Loss = 0.009726904332637787, lr = [1.25e-05] +[2024-05-16 20:20:22,522] - INFO: Epoch 1817/9999, Iter 90840: Loss = 0.009989511221647263, lr = [1.25e-05] +[2024-05-16 20:20:41,688] - INFO: Epoch 1818/9999, Iter 90860: Loss = 0.015154147520661354, lr = [1.25e-05] +[2024-05-16 20:20:58,768] - INFO: Epoch 1818/9999, Iter 90880: Loss = 0.014390110969543457, lr = [1.25e-05] +[2024-05-16 20:21:18,135] - INFO: Epoch 1819/9999, Iter 90900: Loss = 0.015295921824872494, lr = [1.25e-05] +[2024-05-16 20:21:35,851] - INFO: Epoch 1819/9999, Iter 90920: Loss = 0.00979930255562067, lr = [1.25e-05] +[2024-05-16 20:21:53,712] - INFO: Epoch 1819/9999, Iter 90940: Loss = 0.014314419589936733, lr = [1.25e-05] +[2024-05-16 20:22:12,811] - INFO: Epoch 1820/9999, Iter 90960: Loss = 0.016412271186709404, lr = [1.25e-05] +[2024-05-16 20:22:30,988] - INFO: Epoch 1820/9999, Iter 90980: Loss = 0.012764228507876396, lr = [1.25e-05] +[2024-05-16 20:22:47,454] - INFO: Evaluate at epoch 1820! +[2024-05-16 20:22:51,047] - INFO: Eval PSNR (max): 37.974 (1805) SSIM (max): 0.9608 (1810) +[2024-05-16 20:22:51,048] - INFO: Eval PSNR (current): 37.964 (1820) SSIM (current): 0.9607 (1820) +[2024-05-16 20:22:51,048] - INFO: Evaluation over. +[2024-05-16 20:22:57,040] - INFO: Epoch 1821/9999, Iter 91000: Loss = 0.013841084204614162, lr = [1.25e-05] +[2024-05-16 20:23:14,988] - INFO: Epoch 1821/9999, Iter 91020: Loss = 0.015043510124087334, lr = [1.25e-05] +[2024-05-16 20:23:33,119] - INFO: Epoch 1821/9999, Iter 91040: Loss = 0.014230383560061455, lr = [1.25e-05] +[2024-05-16 20:23:52,288] - INFO: Epoch 1822/9999, Iter 91060: Loss = 0.011714324355125427, lr = [1.25e-05] +[2024-05-16 20:24:10,004] - INFO: Epoch 1822/9999, Iter 91080: Loss = 0.010652601718902588, lr = [1.25e-05] +[2024-05-16 20:24:29,032] - INFO: Epoch 1823/9999, Iter 91100: Loss = 0.009897262789309025, lr = [1.25e-05] +[2024-05-16 20:24:47,676] - INFO: Epoch 1823/9999, Iter 91120: Loss = 0.009237044490873814, lr = [1.25e-05] +[2024-05-16 20:25:05,308] - INFO: Epoch 1823/9999, Iter 91140: Loss = 0.012140760198235512, lr = [1.25e-05] +[2024-05-16 20:25:24,630] - INFO: Epoch 1824/9999, Iter 91160: Loss = 0.012543905526399612, lr = [1.25e-05] +[2024-05-16 20:25:42,326] - INFO: Epoch 1824/9999, Iter 91180: Loss = 0.015917448326945305, lr = [1.25e-05] +[2024-05-16 20:26:01,240] - INFO: Epoch 1825/9999, Iter 91200: Loss = 0.012199962511658669, lr = [1.25e-05] +[2024-05-16 20:26:18,496] - INFO: Epoch 1825/9999, Iter 91220: Loss = 0.013954147696495056, lr = [1.25e-05] +[2024-05-16 20:26:35,436] - INFO: Epoch 1825/9999, Iter 91240: Loss = 0.012042415328323841, lr = [1.25e-05] +[2024-05-16 20:26:43,516] - INFO: Evaluate at epoch 1825! +[2024-05-16 20:26:47,001] - INFO: Eval PSNR (max): 37.974 (1805) SSIM (max): 0.9608 (1810) +[2024-05-16 20:26:47,001] - INFO: Eval PSNR (current): 37.968 (1825) SSIM (current): 0.9607 (1825) +[2024-05-16 20:26:47,002] - INFO: Evaluation over. +[2024-05-16 20:27:01,577] - INFO: Epoch 1826/9999, Iter 91260: Loss = 0.014634845778346062, lr = [1.25e-05] +[2024-05-16 20:27:18,932] - INFO: Epoch 1826/9999, Iter 91280: Loss = 0.01038292795419693, lr = [1.25e-05] +[2024-05-16 20:27:37,773] - INFO: Epoch 1827/9999, Iter 91300: Loss = 0.004780059214681387, lr = [1.25e-05] +[2024-05-16 20:27:55,368] - INFO: Epoch 1827/9999, Iter 91320: Loss = 0.01290921587496996, lr = [1.25e-05] +[2024-05-16 20:28:12,551] - INFO: Epoch 1827/9999, Iter 91340: Loss = 0.0076958900317549706, lr = [1.25e-05] +[2024-05-16 20:28:32,071] - INFO: Epoch 1828/9999, Iter 91360: Loss = 0.018120387569069862, lr = [1.25e-05] +[2024-05-16 20:28:50,003] - INFO: Epoch 1828/9999, Iter 91380: Loss = 0.011614321731030941, lr = [1.25e-05] +[2024-05-16 20:29:09,068] - INFO: Epoch 1829/9999, Iter 91400: Loss = 0.010242234915494919, lr = [1.25e-05] +[2024-05-16 20:29:26,960] - INFO: Epoch 1829/9999, Iter 91420: Loss = 0.015162997879087925, lr = [1.25e-05] +[2024-05-16 20:29:44,599] - INFO: Epoch 1829/9999, Iter 91440: Loss = 0.020175134763121605, lr = [1.25e-05] +[2024-05-16 20:30:03,756] - INFO: Epoch 1830/9999, Iter 91460: Loss = 0.014094370417296886, lr = [1.25e-05] +[2024-05-16 20:30:21,721] - INFO: Epoch 1830/9999, Iter 91480: Loss = 0.018798386678099632, lr = [1.25e-05] +[2024-05-16 20:30:38,228] - INFO: Evaluate at epoch 1830! +[2024-05-16 20:30:41,672] - INFO: Eval PSNR (max): 37.974 (1805) SSIM (max): 0.9608 (1810) +[2024-05-16 20:30:41,672] - INFO: Eval PSNR (current): 37.962 (1830) SSIM (current): 0.9607 (1830) +[2024-05-16 20:30:41,672] - INFO: Evaluation over. +[2024-05-16 20:30:47,604] - INFO: Epoch 1831/9999, Iter 91500: Loss = 0.013187761418521404, lr = [1.25e-05] +[2024-05-16 20:31:05,192] - INFO: Epoch 1831/9999, Iter 91520: Loss = 0.011734993197023869, lr = [1.25e-05] +[2024-05-16 20:31:23,072] - INFO: Epoch 1831/9999, Iter 91540: Loss = 0.009441166184842587, lr = [1.25e-05] +[2024-05-16 20:31:42,192] - INFO: Epoch 1832/9999, Iter 91560: Loss = 0.01734881103038788, lr = [1.25e-05] +[2024-05-16 20:31:59,023] - INFO: Epoch 1832/9999, Iter 91580: Loss = 0.013867349363863468, lr = [1.25e-05] +[2024-05-16 20:32:18,608] - INFO: Epoch 1833/9999, Iter 91600: Loss = 0.011543757282197475, lr = [1.25e-05] +[2024-05-16 20:32:36,316] - INFO: Epoch 1833/9999, Iter 91620: Loss = 0.009192980825901031, lr = [1.25e-05] +[2024-05-16 20:32:54,328] - INFO: Epoch 1833/9999, Iter 91640: Loss = 0.01576591283082962, lr = [1.25e-05] +[2024-05-16 20:33:13,433] - INFO: Epoch 1834/9999, Iter 91660: Loss = 0.01725221984088421, lr = [1.25e-05] +[2024-05-16 20:33:31,256] - INFO: Epoch 1834/9999, Iter 91680: Loss = 0.008864299394190311, lr = [1.25e-05] +[2024-05-16 20:33:50,636] - INFO: Epoch 1835/9999, Iter 91700: Loss = 0.008699843659996986, lr = [1.25e-05] +[2024-05-16 20:34:09,127] - INFO: Epoch 1835/9999, Iter 91720: Loss = 0.01348532922565937, lr = [1.25e-05] +[2024-05-16 20:34:27,080] - INFO: Epoch 1835/9999, Iter 91740: Loss = 0.013113767839968204, lr = [1.25e-05] +[2024-05-16 20:34:34,493] - INFO: Evaluate at epoch 1835! +[2024-05-16 20:34:38,011] - INFO: Eval PSNR (max): 37.974 (1805) SSIM (max): 0.9608 (1810) +[2024-05-16 20:34:38,011] - INFO: Eval PSNR (current): 37.965 (1835) SSIM (current): 0.9607 (1835) +[2024-05-16 20:34:38,011] - INFO: Evaluation over. +[2024-05-16 20:34:52,606] - INFO: Epoch 1836/9999, Iter 91760: Loss = 0.01484589371830225, lr = [1.25e-05] +[2024-05-16 20:35:10,818] - INFO: Epoch 1836/9999, Iter 91780: Loss = 0.0111019192263484, lr = [1.25e-05] +[2024-05-16 20:35:29,768] - INFO: Epoch 1837/9999, Iter 91800: Loss = 0.010723606683313847, lr = [1.25e-05] +[2024-05-16 20:35:46,689] - INFO: Epoch 1837/9999, Iter 91820: Loss = 0.015658607706427574, lr = [1.25e-05] +[2024-05-16 20:36:06,892] - INFO: Epoch 1837/9999, Iter 91840: Loss = 0.01618720032274723, lr = [1.25e-05] +[2024-05-16 20:36:25,915] - INFO: Epoch 1838/9999, Iter 91860: Loss = 0.013988280668854713, lr = [1.25e-05] +[2024-05-16 20:36:43,837] - INFO: Epoch 1838/9999, Iter 91880: Loss = 0.01053847186267376, lr = [1.25e-05] +[2024-05-16 20:37:03,227] - INFO: Epoch 1839/9999, Iter 91900: Loss = 0.011794465593993664, lr = [1.25e-05] +[2024-05-16 20:37:20,807] - INFO: Epoch 1839/9999, Iter 91920: Loss = 0.009596605785191059, lr = [1.25e-05] +[2024-05-16 20:37:38,419] - INFO: Epoch 1839/9999, Iter 91940: Loss = 0.015934599563479424, lr = [1.25e-05] +[2024-05-16 20:37:56,991] - INFO: Epoch 1840/9999, Iter 91960: Loss = 0.014222996309399605, lr = [1.25e-05] +[2024-05-16 20:38:14,620] - INFO: Epoch 1840/9999, Iter 91980: Loss = 0.009129864163696766, lr = [1.25e-05] +[2024-05-16 20:38:31,376] - INFO: Evaluate at epoch 1840! +[2024-05-16 20:38:35,005] - INFO: Eval PSNR (max): 37.974 (1805) SSIM (max): 0.9608 (1810) +[2024-05-16 20:38:35,006] - INFO: Eval PSNR (current): 37.945 (1840) SSIM (current): 0.9607 (1840) +[2024-05-16 20:38:35,006] - INFO: Evaluation over. +[2024-05-16 20:38:41,053] - INFO: Epoch 1841/9999, Iter 92000: Loss = 0.0099467933177948, lr = [1.25e-05] +[2024-05-16 20:38:59,168] - INFO: Epoch 1841/9999, Iter 92020: Loss = 0.016439417377114296, lr = [1.25e-05] +[2024-05-16 20:39:16,403] - INFO: Epoch 1841/9999, Iter 92040: Loss = 0.01578015275299549, lr = [1.25e-05] +[2024-05-16 20:39:35,106] - INFO: Epoch 1842/9999, Iter 92060: Loss = 0.00908778514713049, lr = [1.25e-05] +[2024-05-16 20:39:53,647] - INFO: Epoch 1842/9999, Iter 92080: Loss = 0.009189176373183727, lr = [1.25e-05] +[2024-05-16 20:40:12,560] - INFO: Epoch 1843/9999, Iter 92100: Loss = 0.01094286609441042, lr = [1.25e-05] +[2024-05-16 20:40:30,572] - INFO: Epoch 1843/9999, Iter 92120: Loss = 0.01368797942996025, lr = [1.25e-05] +[2024-05-16 20:40:48,468] - INFO: Epoch 1843/9999, Iter 92140: Loss = 0.009091336280107498, lr = [1.25e-05] +[2024-05-16 20:41:07,416] - INFO: Epoch 1844/9999, Iter 92160: Loss = 0.013739477843046188, lr = [1.25e-05] +[2024-05-16 20:41:25,420] - INFO: Epoch 1844/9999, Iter 92180: Loss = 0.01161626074463129, lr = [1.25e-05] +[2024-05-16 20:41:44,392] - INFO: Epoch 1845/9999, Iter 92200: Loss = 0.013643670827150345, lr = [1.25e-05] +[2024-05-16 20:42:02,142] - INFO: Epoch 1845/9999, Iter 92220: Loss = 0.013070856221020222, lr = [1.25e-05] +[2024-05-16 20:42:20,672] - INFO: Epoch 1845/9999, Iter 92240: Loss = 0.0100791547447443, lr = [1.25e-05] +[2024-05-16 20:42:28,421] - INFO: Evaluate at epoch 1845! +[2024-05-16 20:42:32,146] - INFO: Eval PSNR (max): 37.974 (1805) SSIM (max): 0.9608 (1810) +[2024-05-16 20:42:32,147] - INFO: Eval PSNR (current): 37.959 (1845) SSIM (current): 0.9607 (1845) +[2024-05-16 20:42:32,147] - INFO: Evaluation over. +[2024-05-16 20:42:46,727] - INFO: Epoch 1846/9999, Iter 92260: Loss = 0.019023336470127106, lr = [1.25e-05] +[2024-05-16 20:43:03,774] - INFO: Epoch 1846/9999, Iter 92280: Loss = 0.01164391078054905, lr = [1.25e-05] +[2024-05-16 20:43:23,155] - INFO: Epoch 1847/9999, Iter 92300: Loss = 0.012165122665464878, lr = [1.25e-05] +[2024-05-16 20:43:40,624] - INFO: Epoch 1847/9999, Iter 92320: Loss = 0.014683112502098083, lr = [1.25e-05] +[2024-05-16 20:43:58,932] - INFO: Epoch 1847/9999, Iter 92340: Loss = 0.01601835899055004, lr = [1.25e-05] +[2024-05-16 20:44:17,127] - INFO: Epoch 1848/9999, Iter 92360: Loss = 0.015851594507694244, lr = [1.25e-05] +[2024-05-16 20:44:34,474] - INFO: Epoch 1848/9999, Iter 92380: Loss = 0.016991915181279182, lr = [1.25e-05] +[2024-05-16 20:44:54,258] - INFO: Epoch 1849/9999, Iter 92400: Loss = 0.00682276813313365, lr = [1.25e-05] +[2024-05-16 20:45:12,757] - INFO: Epoch 1849/9999, Iter 92420: Loss = 0.00844153854995966, lr = [1.25e-05] +[2024-05-16 20:45:30,533] - INFO: Epoch 1849/9999, Iter 92440: Loss = 0.014767284505069256, lr = [1.25e-05] +[2024-05-16 20:45:49,242] - INFO: Epoch 1850/9999, Iter 92460: Loss = 0.013576609082520008, lr = [1.25e-05] +[2024-05-16 20:46:06,807] - INFO: Epoch 1850/9999, Iter 92480: Loss = 0.014079678803682327, lr = [1.25e-05] +[2024-05-16 20:46:23,623] - INFO: Evaluate at epoch 1850! +[2024-05-16 20:46:27,175] - INFO: Eval PSNR (max): 37.974 (1805) SSIM (max): 0.9608 (1810) +[2024-05-16 20:46:27,176] - INFO: Eval PSNR (current): 37.971 (1850) SSIM (current): 0.9607 (1850) +[2024-05-16 20:46:27,176] - INFO: Evaluation over. +[2024-05-16 20:46:33,201] - INFO: Epoch 1851/9999, Iter 92500: Loss = 0.013902763836085796, lr = [1.25e-05] +[2024-05-16 20:46:51,812] - INFO: Epoch 1851/9999, Iter 92520: Loss = 0.014357902109622955, lr = [1.25e-05] +[2024-05-16 20:47:09,721] - INFO: Epoch 1851/9999, Iter 92540: Loss = 0.013081751763820648, lr = [1.25e-05] +[2024-05-16 20:47:28,940] - INFO: Epoch 1852/9999, Iter 92560: Loss = 0.009256739169359207, lr = [1.25e-05] +[2024-05-16 20:47:46,822] - INFO: Epoch 1852/9999, Iter 92580: Loss = 0.015715505927801132, lr = [1.25e-05] +[2024-05-16 20:48:05,465] - INFO: Epoch 1853/9999, Iter 92600: Loss = 0.016604231670498848, lr = [1.25e-05] +[2024-05-16 20:48:22,886] - INFO: Epoch 1853/9999, Iter 92620: Loss = 0.012517635710537434, lr = [1.25e-05] +[2024-05-16 20:48:40,392] - INFO: Epoch 1853/9999, Iter 92640: Loss = 0.013135859742760658, lr = [1.25e-05] +[2024-05-16 20:48:59,973] - INFO: Epoch 1854/9999, Iter 92660: Loss = 0.013571911491453648, lr = [1.25e-05] +[2024-05-16 20:49:17,725] - INFO: Epoch 1854/9999, Iter 92680: Loss = 0.010643954388797283, lr = [1.25e-05] +[2024-05-16 20:49:36,628] - INFO: Epoch 1855/9999, Iter 92700: Loss = 0.010081821121275425, lr = [1.25e-05] +[2024-05-16 20:49:54,036] - INFO: Epoch 1855/9999, Iter 92720: Loss = 0.018760576844215393, lr = [1.25e-05] +[2024-05-16 20:50:11,032] - INFO: Epoch 1855/9999, Iter 92740: Loss = 0.008115116506814957, lr = [1.25e-05] +[2024-05-16 20:50:19,324] - INFO: Evaluate at epoch 1855! +[2024-05-16 20:50:22,861] - INFO: Eval PSNR (max): 37.974 (1805) SSIM (max): 0.9608 (1810) +[2024-05-16 20:50:22,862] - INFO: Eval PSNR (current): 37.971 (1855) SSIM (current): 0.9608 (1855) +[2024-05-16 20:50:22,862] - INFO: Evaluation over. +[2024-05-16 20:50:37,293] - INFO: Epoch 1856/9999, Iter 92760: Loss = 0.009206706658005714, lr = [1.25e-05] +[2024-05-16 20:50:55,065] - INFO: Epoch 1856/9999, Iter 92780: Loss = 0.011186451651155949, lr = [1.25e-05] +[2024-05-16 20:51:14,512] - INFO: Epoch 1857/9999, Iter 92800: Loss = 0.010449047200381756, lr = [1.25e-05] +[2024-05-16 20:51:31,531] - INFO: Epoch 1857/9999, Iter 92820: Loss = 0.015639716759324074, lr = [1.25e-05] +[2024-05-16 20:51:49,490] - INFO: Epoch 1857/9999, Iter 92840: Loss = 0.013926652260124683, lr = [1.25e-05] +[2024-05-16 20:52:08,602] - INFO: Epoch 1858/9999, Iter 92860: Loss = 0.013973240740597248, lr = [1.25e-05] +[2024-05-16 20:52:25,743] - INFO: Epoch 1858/9999, Iter 92880: Loss = 0.013152592815458775, lr = [1.25e-05] +[2024-05-16 20:52:45,287] - INFO: Epoch 1859/9999, Iter 92900: Loss = 0.015135173685848713, lr = [1.25e-05] +[2024-05-16 20:53:02,745] - INFO: Epoch 1859/9999, Iter 92920: Loss = 0.008867447264492512, lr = [1.25e-05] +[2024-05-16 20:53:21,342] - INFO: Epoch 1859/9999, Iter 92940: Loss = 0.009942634962499142, lr = [1.25e-05] +[2024-05-16 20:53:39,762] - INFO: Epoch 1860/9999, Iter 92960: Loss = 0.015124032273888588, lr = [1.25e-05] +[2024-05-16 20:53:56,529] - INFO: Epoch 1860/9999, Iter 92980: Loss = 0.01250461209565401, lr = [1.25e-05] +[2024-05-16 20:54:13,575] - INFO: Evaluate at epoch 1860! +[2024-05-16 20:54:17,008] - INFO: Eval PSNR (max): 37.974 (1805) SSIM (max): 0.9608 (1810) +[2024-05-16 20:54:17,008] - INFO: Eval PSNR (current): 37.966 (1860) SSIM (current): 0.9607 (1860) +[2024-05-16 20:54:17,008] - INFO: Evaluation over. +[2024-05-16 20:54:23,431] - INFO: Epoch 1861/9999, Iter 93000: Loss = 0.007948235608637333, lr = [1.25e-05] +[2024-05-16 20:54:41,423] - INFO: Epoch 1861/9999, Iter 93020: Loss = 0.011188959702849388, lr = [1.25e-05] +[2024-05-16 20:54:59,664] - INFO: Epoch 1861/9999, Iter 93040: Loss = 0.006463509052991867, lr = [1.25e-05] +[2024-05-16 20:55:18,412] - INFO: Epoch 1862/9999, Iter 93060: Loss = 0.017489466816186905, lr = [1.25e-05] +[2024-05-16 20:55:36,919] - INFO: Epoch 1862/9999, Iter 93080: Loss = 0.014266300946474075, lr = [1.25e-05] +[2024-05-16 20:55:55,424] - INFO: Epoch 1863/9999, Iter 93100: Loss = 0.010717994533479214, lr = [1.25e-05] +[2024-05-16 20:56:13,572] - INFO: Epoch 1863/9999, Iter 93120: Loss = 0.016642281785607338, lr = [1.25e-05] +[2024-05-16 20:56:31,922] - INFO: Epoch 1863/9999, Iter 93140: Loss = 0.015740465372800827, lr = [1.25e-05] +[2024-05-16 20:56:51,086] - INFO: Epoch 1864/9999, Iter 93160: Loss = 0.010322261601686478, lr = [1.25e-05] +[2024-05-16 20:57:08,884] - INFO: Epoch 1864/9999, Iter 93180: Loss = 0.018546296283602715, lr = [1.25e-05] +[2024-05-16 20:57:27,727] - INFO: Epoch 1865/9999, Iter 93200: Loss = 0.01042016688734293, lr = [1.25e-05] +[2024-05-16 20:57:46,052] - INFO: Epoch 1865/9999, Iter 93220: Loss = 0.019457407295703888, lr = [1.25e-05] +[2024-05-16 20:58:04,116] - INFO: Epoch 1865/9999, Iter 93240: Loss = 0.01139012724161148, lr = [1.25e-05] +[2024-05-16 20:58:11,714] - INFO: Evaluate at epoch 1865! +[2024-05-16 20:58:23,093] - INFO: Eval PSNR (max): 37.984 (1865) SSIM (max): 0.9608 (1865) +[2024-05-16 20:58:23,094] - INFO: Eval PSNR (current): 37.984 (1865) SSIM (current): 0.9608 (1865) +[2024-05-16 20:58:23,094] - INFO: Evaluation over. +[2024-05-16 20:58:38,228] - INFO: Epoch 1866/9999, Iter 93260: Loss = 0.014603869058191776, lr = [1.25e-05] +[2024-05-16 20:58:56,126] - INFO: Epoch 1866/9999, Iter 93280: Loss = 0.009806198067963123, lr = [1.25e-05] +[2024-05-16 20:59:14,952] - INFO: Epoch 1867/9999, Iter 93300: Loss = 0.010904120281338692, lr = [1.25e-05] +[2024-05-16 20:59:32,184] - INFO: Epoch 1867/9999, Iter 93320: Loss = 0.017802203074097633, lr = [1.25e-05] +[2024-05-16 20:59:49,973] - INFO: Epoch 1867/9999, Iter 93340: Loss = 0.012314863502979279, lr = [1.25e-05] +[2024-05-16 21:00:08,515] - INFO: Epoch 1868/9999, Iter 93360: Loss = 0.011836902238428593, lr = [1.25e-05] +[2024-05-16 21:00:25,771] - INFO: Epoch 1868/9999, Iter 93380: Loss = 0.010446167550981045, lr = [1.25e-05] +[2024-05-16 21:00:44,631] - INFO: Epoch 1869/9999, Iter 93400: Loss = 0.01122311968356371, lr = [1.25e-05] +[2024-05-16 21:01:02,136] - INFO: Epoch 1869/9999, Iter 93420: Loss = 0.012007025070488453, lr = [1.25e-05] +[2024-05-16 21:01:20,453] - INFO: Epoch 1869/9999, Iter 93440: Loss = 0.014418384991586208, lr = [1.25e-05] +[2024-05-16 21:01:39,794] - INFO: Epoch 1870/9999, Iter 93460: Loss = 0.012624476104974747, lr = [1.25e-05] +[2024-05-16 21:01:57,217] - INFO: Epoch 1870/9999, Iter 93480: Loss = 0.010213019326329231, lr = [1.25e-05] +[2024-05-16 21:02:13,766] - INFO: Evaluate at epoch 1870! +[2024-05-16 21:02:17,178] - INFO: Eval PSNR (max): 37.984 (1865) SSIM (max): 0.9608 (1865) +[2024-05-16 21:02:17,178] - INFO: Eval PSNR (current): 37.981 (1870) SSIM (current): 0.9607 (1870) +[2024-05-16 21:02:17,178] - INFO: Evaluation over. +[2024-05-16 21:02:22,977] - INFO: Epoch 1871/9999, Iter 93500: Loss = 0.01643468253314495, lr = [1.25e-05] +[2024-05-16 21:02:41,237] - INFO: Epoch 1871/9999, Iter 93520: Loss = 0.011010387912392616, lr = [1.25e-05] +[2024-05-16 21:02:59,358] - INFO: Epoch 1871/9999, Iter 93540: Loss = 0.00748591311275959, lr = [1.25e-05] +[2024-05-16 21:03:17,609] - INFO: Epoch 1872/9999, Iter 93560: Loss = 0.014268564060330391, lr = [1.25e-05] +[2024-05-16 21:03:34,880] - INFO: Epoch 1872/9999, Iter 93580: Loss = 0.011195726692676544, lr = [1.25e-05] +[2024-05-16 21:03:53,940] - INFO: Epoch 1873/9999, Iter 93600: Loss = 0.01515424158424139, lr = [1.25e-05] +[2024-05-16 21:04:10,724] - INFO: Epoch 1873/9999, Iter 93620: Loss = 0.017313078045845032, lr = [1.25e-05] +[2024-05-16 21:04:28,155] - INFO: Epoch 1873/9999, Iter 93640: Loss = 0.016246190294623375, lr = [1.25e-05] +[2024-05-16 21:04:47,077] - INFO: Epoch 1874/9999, Iter 93660: Loss = 0.011647826991975307, lr = [1.25e-05] +[2024-05-16 21:05:04,658] - INFO: Epoch 1874/9999, Iter 93680: Loss = 0.00927156675606966, lr = [1.25e-05] +[2024-05-16 21:05:23,448] - INFO: Epoch 1875/9999, Iter 93700: Loss = 0.007192297372967005, lr = [1.25e-05] +[2024-05-16 21:05:41,827] - INFO: Epoch 1875/9999, Iter 93720: Loss = 0.012808938510715961, lr = [1.25e-05] +[2024-05-16 21:05:59,372] - INFO: Epoch 1875/9999, Iter 93740: Loss = 0.011810421012341976, lr = [1.25e-05] +[2024-05-16 21:06:06,705] - INFO: Evaluate at epoch 1875! +[2024-05-16 21:06:13,761] - INFO: Eval PSNR (max): 37.984 (1875) SSIM (max): 0.9608 (1865) +[2024-05-16 21:06:13,762] - INFO: Eval PSNR (current): 37.984 (1875) SSIM (current): 0.9607 (1875) +[2024-05-16 21:06:13,762] - INFO: Evaluation over. +[2024-05-16 21:06:28,508] - INFO: Epoch 1876/9999, Iter 93760: Loss = 0.01559070497751236, lr = [1.25e-05] +[2024-05-16 21:06:46,564] - INFO: Epoch 1876/9999, Iter 93780: Loss = 0.01264314353466034, lr = [1.25e-05] +[2024-05-16 21:07:05,652] - INFO: Epoch 1877/9999, Iter 93800: Loss = 0.011322187259793282, lr = [1.25e-05] +[2024-05-16 21:07:23,192] - INFO: Epoch 1877/9999, Iter 93820: Loss = 0.014362371526658535, lr = [1.25e-05] +[2024-05-16 21:07:40,638] - INFO: Epoch 1877/9999, Iter 93840: Loss = 0.012943458743393421, lr = [1.25e-05] +[2024-05-16 21:08:00,157] - INFO: Epoch 1878/9999, Iter 93860: Loss = 0.015429064631462097, lr = [1.25e-05] +[2024-05-16 21:08:18,069] - INFO: Epoch 1878/9999, Iter 93880: Loss = 0.012814485467970371, lr = [1.25e-05] +[2024-05-16 21:08:36,548] - INFO: Epoch 1879/9999, Iter 93900: Loss = 0.014232991263270378, lr = [1.25e-05] +[2024-05-16 21:08:54,342] - INFO: Epoch 1879/9999, Iter 93920: Loss = 0.01651894673705101, lr = [1.25e-05] +[2024-05-16 21:09:12,658] - INFO: Epoch 1879/9999, Iter 93940: Loss = 0.010746031999588013, lr = [1.25e-05] +[2024-05-16 21:09:31,500] - INFO: Epoch 1880/9999, Iter 93960: Loss = 0.012838833965361118, lr = [1.25e-05] +[2024-05-16 21:09:48,729] - INFO: Epoch 1880/9999, Iter 93980: Loss = 0.012677336111664772, lr = [1.25e-05] +[2024-05-16 21:10:05,648] - INFO: Evaluate at epoch 1880! +[2024-05-16 21:10:09,212] - INFO: Eval PSNR (max): 37.984 (1875) SSIM (max): 0.9608 (1865) +[2024-05-16 21:10:09,212] - INFO: Eval PSNR (current): 37.964 (1880) SSIM (current): 0.9608 (1880) +[2024-05-16 21:10:09,212] - INFO: Evaluation over. +[2024-05-16 21:10:15,236] - INFO: Epoch 1881/9999, Iter 94000: Loss = 0.009213444776833057, lr = [1.25e-05] +[2024-05-16 21:10:32,496] - INFO: Epoch 1881/9999, Iter 94020: Loss = 0.007289918605238199, lr = [1.25e-05] +[2024-05-16 21:10:49,654] - INFO: Epoch 1881/9999, Iter 94040: Loss = 0.013367014937102795, lr = [1.25e-05] +[2024-05-16 21:11:08,519] - INFO: Epoch 1882/9999, Iter 94060: Loss = 0.009793068282306194, lr = [1.25e-05] +[2024-05-16 21:11:25,575] - INFO: Epoch 1882/9999, Iter 94080: Loss = 0.016595901921391487, lr = [1.25e-05] +[2024-05-16 21:11:44,876] - INFO: Epoch 1883/9999, Iter 94100: Loss = 0.012052301317453384, lr = [1.25e-05] +[2024-05-16 21:12:02,978] - INFO: Epoch 1883/9999, Iter 94120: Loss = 0.015677327290177345, lr = [1.25e-05] +[2024-05-16 21:12:20,357] - INFO: Epoch 1883/9999, Iter 94140: Loss = 0.010173143818974495, lr = [1.25e-05] +[2024-05-16 21:12:38,984] - INFO: Epoch 1884/9999, Iter 94160: Loss = 0.010970001108944416, lr = [1.25e-05] +[2024-05-16 21:12:57,269] - INFO: Epoch 1884/9999, Iter 94180: Loss = 0.012955795973539352, lr = [1.25e-05] +[2024-05-16 21:13:16,256] - INFO: Epoch 1885/9999, Iter 94200: Loss = 0.013089482672512531, lr = [1.25e-05] +[2024-05-16 21:13:33,032] - INFO: Epoch 1885/9999, Iter 94220: Loss = 0.011230568401515484, lr = [1.25e-05] +[2024-05-16 21:13:50,082] - INFO: Epoch 1885/9999, Iter 94240: Loss = 0.013733778148889542, lr = [1.25e-05] +[2024-05-16 21:13:58,440] - INFO: Evaluate at epoch 1885! +[2024-05-16 21:14:01,954] - INFO: Eval PSNR (max): 37.984 (1875) SSIM (max): 0.9608 (1865) +[2024-05-16 21:14:01,954] - INFO: Eval PSNR (current): 37.971 (1885) SSIM (current): 0.9608 (1885) +[2024-05-16 21:14:01,954] - INFO: Evaluation over. +[2024-05-16 21:14:16,663] - INFO: Epoch 1886/9999, Iter 94260: Loss = 0.013353383168578148, lr = [1.25e-05] +[2024-05-16 21:14:34,015] - INFO: Epoch 1886/9999, Iter 94280: Loss = 0.01039357390254736, lr = [1.25e-05] +[2024-05-16 21:14:52,688] - INFO: Epoch 1887/9999, Iter 94300: Loss = 0.014988659881055355, lr = [1.25e-05] +[2024-05-16 21:15:10,700] - INFO: Epoch 1887/9999, Iter 94320: Loss = 0.015442585572600365, lr = [1.25e-05] +[2024-05-16 21:15:28,916] - INFO: Epoch 1887/9999, Iter 94340: Loss = 0.009372079744935036, lr = [1.25e-05] +[2024-05-16 21:15:48,056] - INFO: Epoch 1888/9999, Iter 94360: Loss = 0.01686808466911316, lr = [1.25e-05] +[2024-05-16 21:16:06,264] - INFO: Epoch 1888/9999, Iter 94380: Loss = 0.008408128283917904, lr = [1.25e-05] +[2024-05-16 21:16:25,309] - INFO: Epoch 1889/9999, Iter 94400: Loss = 0.014345184899866581, lr = [1.25e-05] +[2024-05-16 21:16:43,682] - INFO: Epoch 1889/9999, Iter 94420: Loss = 0.01291603036224842, lr = [1.25e-05] +[2024-05-16 21:17:01,757] - INFO: Epoch 1889/9999, Iter 94440: Loss = 0.009148773737251759, lr = [1.25e-05] +[2024-05-16 21:17:20,876] - INFO: Epoch 1890/9999, Iter 94460: Loss = 0.007934389635920525, lr = [1.25e-05] +[2024-05-16 21:17:38,868] - INFO: Epoch 1890/9999, Iter 94480: Loss = 0.013341146521270275, lr = [1.25e-05] +[2024-05-16 21:17:55,590] - INFO: Evaluate at epoch 1890! +[2024-05-16 21:17:59,163] - INFO: Eval PSNR (max): 37.984 (1875) SSIM (max): 0.9608 (1865) +[2024-05-16 21:17:59,163] - INFO: Eval PSNR (current): 37.952 (1890) SSIM (current): 0.9607 (1890) +[2024-05-16 21:17:59,163] - INFO: Evaluation over. +[2024-05-16 21:18:05,200] - INFO: Epoch 1891/9999, Iter 94500: Loss = 0.011644513346254826, lr = [1.25e-05] +[2024-05-16 21:18:22,497] - INFO: Epoch 1891/9999, Iter 94520: Loss = 0.012857053428888321, lr = [1.25e-05] +[2024-05-16 21:18:40,746] - INFO: Epoch 1891/9999, Iter 94540: Loss = 0.010565763339400291, lr = [1.25e-05] +[2024-05-16 21:18:59,297] - INFO: Epoch 1892/9999, Iter 94560: Loss = 0.014240479096770287, lr = [1.25e-05] +[2024-05-16 21:19:16,576] - INFO: Epoch 1892/9999, Iter 94580: Loss = 0.011058037169277668, lr = [1.25e-05] +[2024-05-16 21:19:36,096] - INFO: Epoch 1893/9999, Iter 94600: Loss = 0.017234794795513153, lr = [1.25e-05] +[2024-05-16 21:19:54,120] - INFO: Epoch 1893/9999, Iter 94620: Loss = 0.016566580161452293, lr = [1.25e-05] +[2024-05-16 21:20:12,084] - INFO: Epoch 1893/9999, Iter 94640: Loss = 0.010318480432033539, lr = [1.25e-05] +[2024-05-16 21:20:31,033] - INFO: Epoch 1894/9999, Iter 94660: Loss = 0.010677428916096687, lr = [1.25e-05] +[2024-05-16 21:20:49,180] - INFO: Epoch 1894/9999, Iter 94680: Loss = 0.006628644652664661, lr = [1.25e-05] +[2024-05-16 21:21:08,204] - INFO: Epoch 1895/9999, Iter 94700: Loss = 0.009902054443955421, lr = [1.25e-05] +[2024-05-16 21:21:25,536] - INFO: Epoch 1895/9999, Iter 94720: Loss = 0.010425245389342308, lr = [1.25e-05] +[2024-05-16 21:21:43,212] - INFO: Epoch 1895/9999, Iter 94740: Loss = 0.014453631825745106, lr = [1.25e-05] +[2024-05-16 21:21:51,011] - INFO: Evaluate at epoch 1895! +[2024-05-16 21:21:57,979] - INFO: Eval PSNR (max): 37.984 (1895) SSIM (max): 0.9608 (1865) +[2024-05-16 21:21:57,980] - INFO: Eval PSNR (current): 37.984 (1895) SSIM (current): 0.9607 (1895) +[2024-05-16 21:21:57,980] - INFO: Evaluation over. +[2024-05-16 21:22:13,146] - INFO: Epoch 1896/9999, Iter 94760: Loss = 0.009490053169429302, lr = [1.25e-05] +[2024-05-16 21:22:29,946] - INFO: Epoch 1896/9999, Iter 94780: Loss = 0.010901597328484058, lr = [1.25e-05] +[2024-05-16 21:22:49,239] - INFO: Epoch 1897/9999, Iter 94800: Loss = 0.019439995288848877, lr = [1.25e-05] +[2024-05-16 21:23:07,544] - INFO: Epoch 1897/9999, Iter 94820: Loss = 0.010789602063596249, lr = [1.25e-05] +[2024-05-16 21:23:24,626] - INFO: Epoch 1897/9999, Iter 94840: Loss = 0.018139531835913658, lr = [1.25e-05] +[2024-05-16 21:23:43,426] - INFO: Epoch 1898/9999, Iter 94860: Loss = 0.013118648901581764, lr = [1.25e-05] +[2024-05-16 21:24:01,326] - INFO: Epoch 1898/9999, Iter 94880: Loss = 0.017348581925034523, lr = [1.25e-05] +[2024-05-16 21:24:20,704] - INFO: Epoch 1899/9999, Iter 94900: Loss = 0.00881041307002306, lr = [1.25e-05] +[2024-05-16 21:24:38,998] - INFO: Epoch 1899/9999, Iter 94920: Loss = 0.011238615028560162, lr = [1.25e-05] +[2024-05-16 21:24:56,798] - INFO: Epoch 1899/9999, Iter 94940: Loss = 0.010765870101749897, lr = [1.25e-05] +[2024-05-16 21:25:15,247] - INFO: Epoch 1900/9999, Iter 94960: Loss = 0.012220184318721294, lr = [1.25e-05] +[2024-05-16 21:25:32,552] - INFO: Epoch 1900/9999, Iter 94980: Loss = 0.01296606007963419, lr = [1.25e-05] +[2024-05-16 21:25:49,530] - INFO: Evaluate at epoch 1900! +[2024-05-16 21:25:52,967] - INFO: Eval PSNR (max): 37.984 (1895) SSIM (max): 0.9608 (1865) +[2024-05-16 21:25:52,967] - INFO: Eval PSNR (current): 37.970 (1900) SSIM (current): 0.9607 (1900) +[2024-05-16 21:25:52,967] - INFO: Evaluation over. +[2024-05-16 21:25:58,957] - INFO: Epoch 1901/9999, Iter 95000: Loss = 0.012979899533092976, lr = [1.25e-05] +[2024-05-16 21:26:16,236] - INFO: Epoch 1901/9999, Iter 95020: Loss = 0.010430878028273582, lr = [1.25e-05] +[2024-05-16 21:26:33,797] - INFO: Epoch 1901/9999, Iter 95040: Loss = 0.022257698699831963, lr = [1.25e-05] +[2024-05-16 21:26:53,299] - INFO: Epoch 1902/9999, Iter 95060: Loss = 0.010624532587826252, lr = [1.25e-05] +[2024-05-16 21:27:11,435] - INFO: Epoch 1902/9999, Iter 95080: Loss = 0.020491838455200195, lr = [1.25e-05] +[2024-05-16 21:27:30,219] - INFO: Epoch 1903/9999, Iter 95100: Loss = 0.020249389111995697, lr = [1.25e-05] +[2024-05-16 21:27:48,604] - INFO: Epoch 1903/9999, Iter 95120: Loss = 0.020472196862101555, lr = [1.25e-05] +[2024-05-16 21:28:06,548] - INFO: Epoch 1903/9999, Iter 95140: Loss = 0.012951266951858997, lr = [1.25e-05] +[2024-05-16 21:28:25,022] - INFO: Epoch 1904/9999, Iter 95160: Loss = 0.017407763749361038, lr = [1.25e-05] +[2024-05-16 21:28:42,185] - INFO: Epoch 1904/9999, Iter 95180: Loss = 0.009251687675714493, lr = [1.25e-05] +[2024-05-16 21:29:01,794] - INFO: Epoch 1905/9999, Iter 95200: Loss = 0.01274857111275196, lr = [1.25e-05] +[2024-05-16 21:29:19,586] - INFO: Epoch 1905/9999, Iter 95220: Loss = 0.012949232012033463, lr = [1.25e-05] +[2024-05-16 21:29:36,937] - INFO: Epoch 1905/9999, Iter 95240: Loss = 0.01845547743141651, lr = [1.25e-05] +[2024-05-16 21:29:44,605] - INFO: Evaluate at epoch 1905! +[2024-05-16 21:29:48,117] - INFO: Eval PSNR (max): 37.984 (1895) SSIM (max): 0.9608 (1865) +[2024-05-16 21:29:48,118] - INFO: Eval PSNR (current): 37.977 (1905) SSIM (current): 0.9608 (1905) +[2024-05-16 21:29:48,118] - INFO: Evaluation over. +[2024-05-16 21:30:03,152] - INFO: Epoch 1906/9999, Iter 95260: Loss = 0.008326387964189053, lr = [1.25e-05] +[2024-05-16 21:30:20,576] - INFO: Epoch 1906/9999, Iter 95280: Loss = 0.010570553131401539, lr = [1.25e-05] +[2024-05-16 21:30:39,676] - INFO: Epoch 1907/9999, Iter 95300: Loss = 0.013163398019969463, lr = [1.25e-05] +[2024-05-16 21:30:57,658] - INFO: Epoch 1907/9999, Iter 95320: Loss = 0.012439328245818615, lr = [1.25e-05] +[2024-05-16 21:31:15,448] - INFO: Epoch 1907/9999, Iter 95340: Loss = 0.014480827376246452, lr = [1.25e-05] +[2024-05-16 21:31:34,193] - INFO: Epoch 1908/9999, Iter 95360: Loss = 0.015927692875266075, lr = [1.25e-05] +[2024-05-16 21:31:51,952] - INFO: Epoch 1908/9999, Iter 95380: Loss = 0.014029211364686489, lr = [1.25e-05] +[2024-05-16 21:32:11,184] - INFO: Epoch 1909/9999, Iter 95400: Loss = 0.013764149509370327, lr = [1.25e-05] +[2024-05-16 21:32:28,772] - INFO: Epoch 1909/9999, Iter 95420: Loss = 0.01065026968717575, lr = [1.25e-05] +[2024-05-16 21:32:46,665] - INFO: Epoch 1909/9999, Iter 95440: Loss = 0.010275520384311676, lr = [1.25e-05] +[2024-05-16 21:33:04,865] - INFO: Epoch 1910/9999, Iter 95460: Loss = 0.01308783981949091, lr = [1.25e-05] +[2024-05-16 21:33:22,244] - INFO: Epoch 1910/9999, Iter 95480: Loss = 0.011700860224664211, lr = [1.25e-05] +[2024-05-16 21:33:38,790] - INFO: Evaluate at epoch 1910! +[2024-05-16 21:33:42,203] - INFO: Eval PSNR (max): 37.984 (1895) SSIM (max): 0.9608 (1865) +[2024-05-16 21:33:42,203] - INFO: Eval PSNR (current): 37.977 (1910) SSIM (current): 0.9608 (1910) +[2024-05-16 21:33:42,203] - INFO: Evaluation over. +[2024-05-16 21:33:48,160] - INFO: Epoch 1911/9999, Iter 95500: Loss = 0.009741292335093021, lr = [1.25e-05] +[2024-05-16 21:34:05,480] - INFO: Epoch 1911/9999, Iter 95520: Loss = 0.007396259810775518, lr = [1.25e-05] +[2024-05-16 21:34:23,598] - INFO: Epoch 1911/9999, Iter 95540: Loss = 0.010341787710785866, lr = [1.25e-05] +[2024-05-16 21:34:42,724] - INFO: Epoch 1912/9999, Iter 95560: Loss = 0.016021467745304108, lr = [1.25e-05] +[2024-05-16 21:35:00,681] - INFO: Epoch 1912/9999, Iter 95580: Loss = 0.01314083207398653, lr = [1.25e-05] +[2024-05-16 21:35:19,824] - INFO: Epoch 1913/9999, Iter 95600: Loss = 0.01320994645357132, lr = [1.25e-05] +[2024-05-16 21:35:37,940] - INFO: Epoch 1913/9999, Iter 95620: Loss = 0.017279021441936493, lr = [1.25e-05] +[2024-05-16 21:35:55,940] - INFO: Epoch 1913/9999, Iter 95640: Loss = 0.01385667733848095, lr = [1.25e-05] +[2024-05-16 21:36:13,995] - INFO: Epoch 1914/9999, Iter 95660: Loss = 0.013021241873502731, lr = [1.25e-05] +[2024-05-16 21:36:31,067] - INFO: Epoch 1914/9999, Iter 95680: Loss = 0.01288638636469841, lr = [1.25e-05] +[2024-05-16 21:36:50,326] - INFO: Epoch 1915/9999, Iter 95700: Loss = 0.008727318607270718, lr = [1.25e-05] +[2024-05-16 21:37:08,689] - INFO: Epoch 1915/9999, Iter 95720: Loss = 0.011359764263033867, lr = [1.25e-05] +[2024-05-16 21:37:26,649] - INFO: Epoch 1915/9999, Iter 95740: Loss = 0.010958826169371605, lr = [1.25e-05] +[2024-05-16 21:37:34,124] - INFO: Evaluate at epoch 1915! +[2024-05-16 21:37:37,758] - INFO: Eval PSNR (max): 37.984 (1895) SSIM (max): 0.9608 (1865) +[2024-05-16 21:37:37,758] - INFO: Eval PSNR (current): 37.974 (1915) SSIM (current): 0.9608 (1915) +[2024-05-16 21:37:37,758] - INFO: Evaluation over. +[2024-05-16 21:37:52,528] - INFO: Epoch 1916/9999, Iter 95760: Loss = 0.015132557600736618, lr = [1.25e-05] +[2024-05-16 21:38:09,416] - INFO: Epoch 1916/9999, Iter 95780: Loss = 0.01787644252181053, lr = [1.25e-05] +[2024-05-16 21:38:29,124] - INFO: Epoch 1917/9999, Iter 95800: Loss = 0.013370567001402378, lr = [1.25e-05] +[2024-05-16 21:38:46,868] - INFO: Epoch 1917/9999, Iter 95820: Loss = 0.012568069621920586, lr = [1.25e-05] +[2024-05-16 21:39:04,689] - INFO: Epoch 1917/9999, Iter 95840: Loss = 0.01013971772044897, lr = [1.25e-05] +[2024-05-16 21:39:22,956] - INFO: Epoch 1918/9999, Iter 95860: Loss = 0.012022918090224266, lr = [1.25e-05] +[2024-05-16 21:39:40,690] - INFO: Epoch 1918/9999, Iter 95880: Loss = 0.016306210309267044, lr = [1.25e-05] +[2024-05-16 21:39:59,666] - INFO: Epoch 1919/9999, Iter 95900: Loss = 0.011854306794703007, lr = [1.25e-05] +[2024-05-16 21:40:17,104] - INFO: Epoch 1919/9999, Iter 95920: Loss = 0.017234347760677338, lr = [1.25e-05] +[2024-05-16 21:40:35,535] - INFO: Epoch 1919/9999, Iter 95940: Loss = 0.018664399161934853, lr = [1.25e-05] +[2024-05-16 21:40:54,848] - INFO: Epoch 1920/9999, Iter 95960: Loss = 0.012788726016879082, lr = [1.25e-05] +[2024-05-16 21:41:13,000] - INFO: Epoch 1920/9999, Iter 95980: Loss = 0.015060707926750183, lr = [1.25e-05] +[2024-05-16 21:41:29,622] - INFO: Evaluate at epoch 1920! +[2024-05-16 21:41:33,229] - INFO: Eval PSNR (max): 37.984 (1895) SSIM (max): 0.9608 (1865) +[2024-05-16 21:41:33,229] - INFO: Eval PSNR (current): 37.957 (1920) SSIM (current): 0.9607 (1920) +[2024-05-16 21:41:33,229] - INFO: Evaluation over. +[2024-05-16 21:41:39,230] - INFO: Epoch 1921/9999, Iter 96000: Loss = 0.014219780452549458, lr = [1.25e-05] +[2024-05-16 21:41:57,024] - INFO: Epoch 1921/9999, Iter 96020: Loss = 0.01255739200860262, lr = [1.25e-05] +[2024-05-16 21:42:15,140] - INFO: Epoch 1921/9999, Iter 96040: Loss = 0.011613437905907631, lr = [1.25e-05] +[2024-05-16 21:42:33,823] - INFO: Epoch 1922/9999, Iter 96060: Loss = 0.013028462417423725, lr = [1.25e-05] +[2024-05-16 21:42:51,392] - INFO: Epoch 1922/9999, Iter 96080: Loss = 0.01877911388874054, lr = [1.25e-05] +[2024-05-16 21:43:10,317] - INFO: Epoch 1923/9999, Iter 96100: Loss = 0.01625920832157135, lr = [1.25e-05] +[2024-05-16 21:43:28,140] - INFO: Epoch 1923/9999, Iter 96120: Loss = 0.00884339865297079, lr = [1.25e-05] +[2024-05-16 21:43:46,011] - INFO: Epoch 1923/9999, Iter 96140: Loss = 0.01270353700965643, lr = [1.25e-05] +[2024-05-16 21:44:04,628] - INFO: Epoch 1924/9999, Iter 96160: Loss = 0.008911800570786, lr = [1.25e-05] +[2024-05-16 21:44:22,462] - INFO: Epoch 1924/9999, Iter 96180: Loss = 0.016515476629137993, lr = [1.25e-05] +[2024-05-16 21:44:41,294] - INFO: Epoch 1925/9999, Iter 96200: Loss = 0.012684083543717861, lr = [1.25e-05] +[2024-05-16 21:44:58,868] - INFO: Epoch 1925/9999, Iter 96220: Loss = 0.014429677277803421, lr = [1.25e-05] +[2024-05-16 21:45:15,913] - INFO: Epoch 1925/9999, Iter 96240: Loss = 0.014340482652187347, lr = [1.25e-05] +[2024-05-16 21:45:23,681] - INFO: Evaluate at epoch 1925! +[2024-05-16 21:45:27,148] - INFO: Eval PSNR (max): 37.984 (1895) SSIM (max): 0.9608 (1865) +[2024-05-16 21:45:27,148] - INFO: Eval PSNR (current): 37.972 (1925) SSIM (current): 0.9608 (1925) +[2024-05-16 21:45:27,148] - INFO: Evaluation over. +[2024-05-16 21:45:41,462] - INFO: Epoch 1926/9999, Iter 96260: Loss = 0.015159590169787407, lr = [1.25e-05] +[2024-05-16 21:45:59,053] - INFO: Epoch 1926/9999, Iter 96280: Loss = 0.01338296476751566, lr = [1.25e-05] +[2024-05-16 21:46:18,642] - INFO: Epoch 1927/9999, Iter 96300: Loss = 0.011387159116566181, lr = [1.25e-05] +[2024-05-16 21:46:37,207] - INFO: Epoch 1927/9999, Iter 96320: Loss = 0.02067559026181698, lr = [1.25e-05] +[2024-05-16 21:46:54,916] - INFO: Epoch 1927/9999, Iter 96340: Loss = 0.010533103719353676, lr = [1.25e-05] +[2024-05-16 21:47:13,908] - INFO: Epoch 1928/9999, Iter 96360: Loss = 0.012316806241869926, lr = [1.25e-05] +[2024-05-16 21:47:31,135] - INFO: Epoch 1928/9999, Iter 96380: Loss = 0.009694241918623447, lr = [1.25e-05] +[2024-05-16 21:47:50,132] - INFO: Epoch 1929/9999, Iter 96400: Loss = 0.016430074349045753, lr = [1.25e-05] +[2024-05-16 21:48:08,564] - INFO: Epoch 1929/9999, Iter 96420: Loss = 0.014201457612216473, lr = [1.25e-05] +[2024-05-16 21:48:25,684] - INFO: Epoch 1929/9999, Iter 96440: Loss = 0.012444396503269672, lr = [1.25e-05] +[2024-05-16 21:48:44,824] - INFO: Epoch 1930/9999, Iter 96460: Loss = 0.014030284248292446, lr = [1.25e-05] +[2024-05-16 21:49:02,100] - INFO: Epoch 1930/9999, Iter 96480: Loss = 0.012720553204417229, lr = [1.25e-05] +[2024-05-16 21:49:18,562] - INFO: Evaluate at epoch 1930! +[2024-05-16 21:49:22,048] - INFO: Eval PSNR (max): 37.984 (1895) SSIM (max): 0.9608 (1865) +[2024-05-16 21:49:22,048] - INFO: Eval PSNR (current): 37.970 (1930) SSIM (current): 0.9607 (1930) +[2024-05-16 21:49:22,048] - INFO: Evaluation over. +[2024-05-16 21:49:28,131] - INFO: Epoch 1931/9999, Iter 96500: Loss = 0.013161039911210537, lr = [1.25e-05] +[2024-05-16 21:49:45,952] - INFO: Epoch 1931/9999, Iter 96520: Loss = 0.011149227619171143, lr = [1.25e-05] +[2024-05-16 21:50:04,154] - INFO: Epoch 1931/9999, Iter 96540: Loss = 0.016904780641198158, lr = [1.25e-05] +[2024-05-16 21:50:22,904] - INFO: Epoch 1932/9999, Iter 96560: Loss = 0.01642514392733574, lr = [1.25e-05] +[2024-05-16 21:50:41,280] - INFO: Epoch 1932/9999, Iter 96580: Loss = 0.015559381805360317, lr = [1.25e-05] +[2024-05-16 21:51:00,320] - INFO: Epoch 1933/9999, Iter 96600: Loss = 0.010861295275390148, lr = [1.25e-05] +[2024-05-16 21:51:18,597] - INFO: Epoch 1933/9999, Iter 96620: Loss = 0.0100631108507514, lr = [1.25e-05] +[2024-05-16 21:51:36,508] - INFO: Epoch 1933/9999, Iter 96640: Loss = 0.012772996909916401, lr = [1.25e-05] +[2024-05-16 21:51:55,460] - INFO: Epoch 1934/9999, Iter 96660: Loss = 0.011434616521000862, lr = [1.25e-05] +[2024-05-16 21:52:13,652] - INFO: Epoch 1934/9999, Iter 96680: Loss = 0.010990128852427006, lr = [1.25e-05] +[2024-05-16 21:52:32,604] - INFO: Epoch 1935/9999, Iter 96700: Loss = 0.01962224952876568, lr = [1.25e-05] +[2024-05-16 21:52:50,240] - INFO: Epoch 1935/9999, Iter 96720: Loss = 0.014285392127931118, lr = [1.25e-05] +[2024-05-16 21:53:07,144] - INFO: Epoch 1935/9999, Iter 96740: Loss = 0.014923827722668648, lr = [1.25e-05] +[2024-05-16 21:53:15,443] - INFO: Evaluate at epoch 1935! +[2024-05-16 21:53:18,909] - INFO: Eval PSNR (max): 37.984 (1895) SSIM (max): 0.9608 (1865) +[2024-05-16 21:53:18,909] - INFO: Eval PSNR (current): 37.964 (1935) SSIM (current): 0.9607 (1935) +[2024-05-16 21:53:18,909] - INFO: Evaluation over. +[2024-05-16 21:53:33,677] - INFO: Epoch 1936/9999, Iter 96760: Loss = 0.011950765736401081, lr = [1.25e-05] +[2024-05-16 21:53:51,012] - INFO: Epoch 1936/9999, Iter 96780: Loss = 0.01088796928524971, lr = [1.25e-05] +[2024-05-16 21:54:09,968] - INFO: Epoch 1937/9999, Iter 96800: Loss = 0.010196894407272339, lr = [1.25e-05] +[2024-05-16 21:54:28,240] - INFO: Epoch 1937/9999, Iter 96820: Loss = 0.0074768043123185635, lr = [1.25e-05] +[2024-05-16 21:54:46,141] - INFO: Epoch 1937/9999, Iter 96840: Loss = 0.01003773882985115, lr = [1.25e-05] +[2024-05-16 21:55:05,121] - INFO: Epoch 1938/9999, Iter 96860: Loss = 0.012987108901143074, lr = [1.25e-05] +[2024-05-16 21:55:22,552] - INFO: Epoch 1938/9999, Iter 96880: Loss = 0.007210781332105398, lr = [1.25e-05] +[2024-05-16 21:55:41,985] - INFO: Epoch 1939/9999, Iter 96900: Loss = 0.012928295880556107, lr = [1.25e-05] +[2024-05-16 21:55:59,676] - INFO: Epoch 1939/9999, Iter 96920: Loss = 0.011527102440595627, lr = [1.25e-05] +[2024-05-16 21:56:17,908] - INFO: Epoch 1939/9999, Iter 96940: Loss = 0.01647089794278145, lr = [1.25e-05] +[2024-05-16 21:56:37,014] - INFO: Epoch 1940/9999, Iter 96960: Loss = 0.012151705101132393, lr = [1.25e-05] +[2024-05-16 21:56:55,383] - INFO: Epoch 1940/9999, Iter 96980: Loss = 0.011593908071517944, lr = [1.25e-05] +[2024-05-16 21:57:11,885] - INFO: Evaluate at epoch 1940! +[2024-05-16 21:57:15,479] - INFO: Eval PSNR (max): 37.984 (1895) SSIM (max): 0.9608 (1865) +[2024-05-16 21:57:15,479] - INFO: Eval PSNR (current): 37.981 (1940) SSIM (current): 0.9607 (1940) +[2024-05-16 21:57:15,479] - INFO: Evaluation over. +[2024-05-16 21:57:21,836] - INFO: Epoch 1941/9999, Iter 97000: Loss = 0.010320806875824928, lr = [1.25e-05] +[2024-05-16 21:57:39,185] - INFO: Epoch 1941/9999, Iter 97020: Loss = 0.009250608272850513, lr = [1.25e-05] +[2024-05-16 21:57:56,701] - INFO: Epoch 1941/9999, Iter 97040: Loss = 0.01081479899585247, lr = [1.25e-05] +[2024-05-16 21:58:15,080] - INFO: Epoch 1942/9999, Iter 97060: Loss = 0.020873460918664932, lr = [1.25e-05] +[2024-05-16 21:58:32,406] - INFO: Epoch 1942/9999, Iter 97080: Loss = 0.010059500113129616, lr = [1.25e-05] +[2024-05-16 21:58:51,972] - INFO: Epoch 1943/9999, Iter 97100: Loss = 0.012657946906983852, lr = [1.25e-05] +[2024-05-16 21:59:10,041] - INFO: Epoch 1943/9999, Iter 97120: Loss = 0.007658781949430704, lr = [1.25e-05] +[2024-05-16 21:59:28,012] - INFO: Epoch 1943/9999, Iter 97140: Loss = 0.011544011533260345, lr = [1.25e-05] +[2024-05-16 21:59:46,745] - INFO: Epoch 1944/9999, Iter 97160: Loss = 0.01696152240037918, lr = [1.25e-05] +[2024-05-16 22:00:05,052] - INFO: Epoch 1944/9999, Iter 97180: Loss = 0.009347992949187756, lr = [1.25e-05] +[2024-05-16 22:00:23,507] - INFO: Epoch 1945/9999, Iter 97200: Loss = 0.010071249678730965, lr = [1.25e-05] +[2024-05-16 22:00:41,419] - INFO: Epoch 1945/9999, Iter 97220: Loss = 0.010815547779202461, lr = [1.25e-05] +[2024-05-16 22:00:59,851] - INFO: Epoch 1945/9999, Iter 97240: Loss = 0.011926017701625824, lr = [1.25e-05] +[2024-05-16 22:01:07,272] - INFO: Evaluate at epoch 1945! +[2024-05-16 22:01:10,924] - INFO: Eval PSNR (max): 37.984 (1895) SSIM (max): 0.9608 (1865) +[2024-05-16 22:01:10,924] - INFO: Eval PSNR (current): 37.959 (1945) SSIM (current): 0.9607 (1945) +[2024-05-16 22:01:10,924] - INFO: Evaluation over. +[2024-05-16 22:01:26,347] - INFO: Epoch 1946/9999, Iter 97260: Loss = 0.011597642675042152, lr = [1.25e-05] +[2024-05-16 22:01:43,446] - INFO: Epoch 1946/9999, Iter 97280: Loss = 0.014490384608507156, lr = [1.25e-05] +[2024-05-16 22:02:02,963] - INFO: Epoch 1947/9999, Iter 97300: Loss = 0.01076730526983738, lr = [1.25e-05] +[2024-05-16 22:02:20,744] - INFO: Epoch 1947/9999, Iter 97320: Loss = 0.013375907205045223, lr = [1.25e-05] +[2024-05-16 22:02:38,693] - INFO: Epoch 1947/9999, Iter 97340: Loss = 0.01638965494930744, lr = [1.25e-05] +[2024-05-16 22:02:57,912] - INFO: Epoch 1948/9999, Iter 97360: Loss = 0.010860614478588104, lr = [1.25e-05] +[2024-05-16 22:03:15,952] - INFO: Epoch 1948/9999, Iter 97380: Loss = 0.011215509846806526, lr = [1.25e-05] +[2024-05-16 22:03:35,488] - INFO: Epoch 1949/9999, Iter 97400: Loss = 0.008344210684299469, lr = [1.25e-05] +[2024-05-16 22:03:53,436] - INFO: Epoch 1949/9999, Iter 97420: Loss = 0.013655085116624832, lr = [1.25e-05] +[2024-05-16 22:04:11,416] - INFO: Epoch 1949/9999, Iter 97440: Loss = 0.011415192857384682, lr = [1.25e-05] +[2024-05-16 22:04:30,522] - INFO: Epoch 1950/9999, Iter 97460: Loss = 0.013739722780883312, lr = [1.25e-05] +[2024-05-16 22:04:48,088] - INFO: Epoch 1950/9999, Iter 97480: Loss = 0.009472678415477276, lr = [1.25e-05] +[2024-05-16 22:05:04,271] - INFO: Evaluate at epoch 1950! +[2024-05-16 22:05:07,889] - INFO: Eval PSNR (max): 37.984 (1895) SSIM (max): 0.9608 (1865) +[2024-05-16 22:05:07,889] - INFO: Eval PSNR (current): 37.978 (1950) SSIM (current): 0.9607 (1950) +[2024-05-16 22:05:07,889] - INFO: Evaluation over. +[2024-05-16 22:05:13,828] - INFO: Epoch 1951/9999, Iter 97500: Loss = 0.011452140286564827, lr = [1.25e-05] +[2024-05-16 22:05:31,366] - INFO: Epoch 1951/9999, Iter 97520: Loss = 0.008799629285931587, lr = [1.25e-05] +[2024-05-16 22:05:49,002] - INFO: Epoch 1951/9999, Iter 97540: Loss = 0.013207782059907913, lr = [1.25e-05] +[2024-05-16 22:06:08,198] - INFO: Epoch 1952/9999, Iter 97560: Loss = 0.010375040583312511, lr = [1.25e-05] +[2024-05-16 22:06:25,871] - INFO: Epoch 1952/9999, Iter 97580: Loss = 0.012934885919094086, lr = [1.25e-05] +[2024-05-16 22:06:44,372] - INFO: Epoch 1953/9999, Iter 97600: Loss = 0.013896041549742222, lr = [1.25e-05] +[2024-05-16 22:07:01,984] - INFO: Epoch 1953/9999, Iter 97620: Loss = 0.014274206943809986, lr = [1.25e-05] +[2024-05-16 22:07:20,150] - INFO: Epoch 1953/9999, Iter 97640: Loss = 0.016954444348812103, lr = [1.25e-05] +[2024-05-16 22:07:39,059] - INFO: Epoch 1954/9999, Iter 97660: Loss = 0.01259707286953926, lr = [1.25e-05] +[2024-05-16 22:07:56,680] - INFO: Epoch 1954/9999, Iter 97680: Loss = 0.016143798828125, lr = [1.25e-05] +[2024-05-16 22:08:15,637] - INFO: Epoch 1955/9999, Iter 97700: Loss = 0.013914031907916069, lr = [1.25e-05] +[2024-05-16 22:08:33,768] - INFO: Epoch 1955/9999, Iter 97720: Loss = 0.010389493778347969, lr = [1.25e-05] +[2024-05-16 22:08:51,606] - INFO: Epoch 1955/9999, Iter 97740: Loss = 0.010457639582455158, lr = [1.25e-05] +[2024-05-16 22:08:59,113] - INFO: Evaluate at epoch 1955! +[2024-05-16 22:09:02,696] - INFO: Eval PSNR (max): 37.984 (1895) SSIM (max): 0.9608 (1865) +[2024-05-16 22:09:02,697] - INFO: Eval PSNR (current): 37.958 (1955) SSIM (current): 0.9607 (1955) +[2024-05-16 22:09:02,697] - INFO: Evaluation over. +[2024-05-16 22:09:17,492] - INFO: Epoch 1956/9999, Iter 97760: Loss = 0.012853316031396389, lr = [1.25e-05] +[2024-05-16 22:09:35,385] - INFO: Epoch 1956/9999, Iter 97780: Loss = 0.0072132921777665615, lr = [1.25e-05] +[2024-05-16 22:09:54,821] - INFO: Epoch 1957/9999, Iter 97800: Loss = 0.012979386374354362, lr = [1.25e-05] +[2024-05-16 22:10:13,086] - INFO: Epoch 1957/9999, Iter 97820: Loss = 0.01664784364402294, lr = [1.25e-05] +[2024-05-16 22:10:30,388] - INFO: Epoch 1957/9999, Iter 97840: Loss = 0.010406439192593098, lr = [1.25e-05] +[2024-05-16 22:10:49,160] - INFO: Epoch 1958/9999, Iter 97860: Loss = 0.012692932970821857, lr = [1.25e-05] +[2024-05-16 22:11:06,634] - INFO: Epoch 1958/9999, Iter 97880: Loss = 0.010421412996947765, lr = [1.25e-05] +[2024-05-16 22:11:25,656] - INFO: Epoch 1959/9999, Iter 97900: Loss = 0.012990145944058895, lr = [1.25e-05] +[2024-05-16 22:11:42,686] - INFO: Epoch 1959/9999, Iter 97920: Loss = 0.011426742188632488, lr = [1.25e-05] +[2024-05-16 22:12:00,024] - INFO: Epoch 1959/9999, Iter 97940: Loss = 0.014061681926250458, lr = [1.25e-05] +[2024-05-16 22:12:18,593] - INFO: Epoch 1960/9999, Iter 97960: Loss = 0.01729658804833889, lr = [1.25e-05] +[2024-05-16 22:12:36,158] - INFO: Epoch 1960/9999, Iter 97980: Loss = 0.010300136171281338, lr = [1.25e-05] +[2024-05-16 22:12:52,873] - INFO: Evaluate at epoch 1960! +[2024-05-16 22:12:56,378] - INFO: Eval PSNR (max): 37.984 (1895) SSIM (max): 0.9608 (1865) +[2024-05-16 22:12:56,378] - INFO: Eval PSNR (current): 37.949 (1960) SSIM (current): 0.9607 (1960) +[2024-05-16 22:12:56,378] - INFO: Evaluation over. +[2024-05-16 22:13:02,347] - INFO: Epoch 1961/9999, Iter 98000: Loss = 0.009798478335142136, lr = [1.25e-05] +[2024-05-16 22:13:20,543] - INFO: Epoch 1961/9999, Iter 98020: Loss = 0.012849775142967701, lr = [1.25e-05] +[2024-05-16 22:13:38,315] - INFO: Epoch 1961/9999, Iter 98040: Loss = 0.011492513120174408, lr = [1.25e-05] +[2024-05-16 22:13:57,369] - INFO: Epoch 1962/9999, Iter 98060: Loss = 0.013237041421234608, lr = [1.25e-05] +[2024-05-16 22:14:14,454] - INFO: Epoch 1962/9999, Iter 98080: Loss = 0.013828182592988014, lr = [1.25e-05] +[2024-05-16 22:14:33,524] - INFO: Epoch 1963/9999, Iter 98100: Loss = 0.01506919413805008, lr = [1.25e-05] +[2024-05-16 22:14:51,442] - INFO: Epoch 1963/9999, Iter 98120: Loss = 0.019207734614610672, lr = [1.25e-05] +[2024-05-16 22:15:09,513] - INFO: Epoch 1963/9999, Iter 98140: Loss = 0.018858639523386955, lr = [1.25e-05] +[2024-05-16 22:15:28,567] - INFO: Epoch 1964/9999, Iter 98160: Loss = 0.009854376316070557, lr = [1.25e-05] +[2024-05-16 22:15:47,051] - INFO: Epoch 1964/9999, Iter 98180: Loss = 0.013593609444797039, lr = [1.25e-05] +[2024-05-16 22:16:05,823] - INFO: Epoch 1965/9999, Iter 98200: Loss = 0.015787728130817413, lr = [1.25e-05] +[2024-05-16 22:16:24,073] - INFO: Epoch 1965/9999, Iter 98220: Loss = 0.010737059637904167, lr = [1.25e-05] +[2024-05-16 22:16:41,675] - INFO: Epoch 1965/9999, Iter 98240: Loss = 0.010714557953178883, lr = [1.25e-05] +[2024-05-16 22:16:49,035] - INFO: Evaluate at epoch 1965! +[2024-05-16 22:16:52,574] - INFO: Eval PSNR (max): 37.984 (1895) SSIM (max): 0.9608 (1865) +[2024-05-16 22:16:52,575] - INFO: Eval PSNR (current): 37.964 (1965) SSIM (current): 0.9607 (1965) +[2024-05-16 22:16:52,575] - INFO: Evaluation over. +[2024-05-16 22:17:07,656] - INFO: Epoch 1966/9999, Iter 98260: Loss = 0.011865830980241299, lr = [1.25e-05] +[2024-05-16 22:17:25,732] - INFO: Epoch 1966/9999, Iter 98280: Loss = 0.012318860739469528, lr = [1.25e-05] +[2024-05-16 22:17:44,720] - INFO: Epoch 1967/9999, Iter 98300: Loss = 0.015969526022672653, lr = [1.25e-05] +[2024-05-16 22:18:02,250] - INFO: Epoch 1967/9999, Iter 98320: Loss = 0.011116720736026764, lr = [1.25e-05] +[2024-05-16 22:18:20,212] - INFO: Epoch 1967/9999, Iter 98340: Loss = 0.013498288579285145, lr = [1.25e-05] +[2024-05-16 22:18:39,080] - INFO: Epoch 1968/9999, Iter 98360: Loss = 0.015020023100078106, lr = [1.25e-05] +[2024-05-16 22:18:57,183] - INFO: Epoch 1968/9999, Iter 98380: Loss = 0.013332287780940533, lr = [1.25e-05] +[2024-05-16 22:19:15,788] - INFO: Epoch 1969/9999, Iter 98400: Loss = 0.0147619703784585, lr = [1.25e-05] +[2024-05-16 22:19:34,208] - INFO: Epoch 1969/9999, Iter 98420: Loss = 0.015846451744437218, lr = [1.25e-05] +[2024-05-16 22:19:51,783] - INFO: Epoch 1969/9999, Iter 98440: Loss = 0.013447627425193787, lr = [1.25e-05] +[2024-05-16 22:20:10,411] - INFO: Epoch 1970/9999, Iter 98460: Loss = 0.007879221811890602, lr = [1.25e-05] +[2024-05-16 22:20:28,196] - INFO: Epoch 1970/9999, Iter 98480: Loss = 0.0104954419657588, lr = [1.25e-05] +[2024-05-16 22:20:44,329] - INFO: Evaluate at epoch 1970! +[2024-05-16 22:20:47,840] - INFO: Eval PSNR (max): 37.984 (1895) SSIM (max): 0.9608 (1865) +[2024-05-16 22:20:47,841] - INFO: Eval PSNR (current): 37.970 (1970) SSIM (current): 0.9607 (1970) +[2024-05-16 22:20:47,841] - INFO: Evaluation over. +[2024-05-16 22:20:53,749] - INFO: Epoch 1971/9999, Iter 98500: Loss = 0.012432240881025791, lr = [1.25e-05] +[2024-05-16 22:21:11,869] - INFO: Epoch 1971/9999, Iter 98520: Loss = 0.012079487554728985, lr = [1.25e-05] +[2024-05-16 22:21:29,817] - INFO: Epoch 1971/9999, Iter 98540: Loss = 0.018163438886404037, lr = [1.25e-05] +[2024-05-16 22:21:48,160] - INFO: Epoch 1972/9999, Iter 98560: Loss = 0.01019632164388895, lr = [1.25e-05] +[2024-05-16 22:22:05,260] - INFO: Epoch 1972/9999, Iter 98580: Loss = 0.010774386115372181, lr = [1.25e-05] +[2024-05-16 22:22:24,800] - INFO: Epoch 1973/9999, Iter 98600: Loss = 0.012908795848488808, lr = [1.25e-05] +[2024-05-16 22:22:41,770] - INFO: Epoch 1973/9999, Iter 98620: Loss = 0.012344681657850742, lr = [1.25e-05] +[2024-05-16 22:22:59,454] - INFO: Epoch 1973/9999, Iter 98640: Loss = 0.009671431966125965, lr = [1.25e-05] +[2024-05-16 22:23:18,962] - INFO: Epoch 1974/9999, Iter 98660: Loss = 0.014326680451631546, lr = [1.25e-05] +[2024-05-16 22:23:36,621] - INFO: Epoch 1974/9999, Iter 98680: Loss = 0.013123531825840473, lr = [1.25e-05] +[2024-05-16 22:23:55,304] - INFO: Epoch 1975/9999, Iter 98700: Loss = 0.010938335210084915, lr = [1.25e-05] +[2024-05-16 22:24:12,884] - INFO: Epoch 1975/9999, Iter 98720: Loss = 0.018091712146997452, lr = [1.25e-05] +[2024-05-16 22:24:30,224] - INFO: Epoch 1975/9999, Iter 98740: Loss = 0.019365210086107254, lr = [1.25e-05] +[2024-05-16 22:24:38,006] - INFO: Evaluate at epoch 1975! +[2024-05-16 22:24:41,763] - INFO: Eval PSNR (max): 37.984 (1895) SSIM (max): 0.9608 (1865) +[2024-05-16 22:24:41,763] - INFO: Eval PSNR (current): 37.965 (1975) SSIM (current): 0.9607 (1975) +[2024-05-16 22:24:41,764] - INFO: Evaluation over. +[2024-05-16 22:24:56,466] - INFO: Epoch 1976/9999, Iter 98760: Loss = 0.011545299552381039, lr = [1.25e-05] +[2024-05-16 22:25:13,604] - INFO: Epoch 1976/9999, Iter 98780: Loss = 0.009149791672825813, lr = [1.25e-05] +[2024-05-16 22:25:33,584] - INFO: Epoch 1977/9999, Iter 98800: Loss = 0.013740126974880695, lr = [1.25e-05] +[2024-05-16 22:25:51,663] - INFO: Epoch 1977/9999, Iter 98820: Loss = 0.014337243512272835, lr = [1.25e-05] +[2024-05-16 22:26:09,906] - INFO: Epoch 1977/9999, Iter 98840: Loss = 0.01269617397338152, lr = [1.25e-05] +[2024-05-16 22:26:28,636] - INFO: Epoch 1978/9999, Iter 98860: Loss = 0.010032419115304947, lr = [1.25e-05] +[2024-05-16 22:26:45,794] - INFO: Epoch 1978/9999, Iter 98880: Loss = 0.011974173597991467, lr = [1.25e-05] +[2024-05-16 22:27:04,903] - INFO: Epoch 1979/9999, Iter 98900: Loss = 0.01876126416027546, lr = [1.25e-05] +[2024-05-16 22:27:23,130] - INFO: Epoch 1979/9999, Iter 98920: Loss = 0.017269063740968704, lr = [1.25e-05] +[2024-05-16 22:27:40,503] - INFO: Epoch 1979/9999, Iter 98940: Loss = 0.011463523842394352, lr = [1.25e-05] +[2024-05-16 22:27:59,454] - INFO: Epoch 1980/9999, Iter 98960: Loss = 0.012154108844697475, lr = [1.25e-05] +[2024-05-16 22:28:17,144] - INFO: Epoch 1980/9999, Iter 98980: Loss = 0.01357472874224186, lr = [1.25e-05] +[2024-05-16 22:28:33,580] - INFO: Evaluate at epoch 1980! +[2024-05-16 22:28:37,132] - INFO: Eval PSNR (max): 37.984 (1895) SSIM (max): 0.9608 (1865) +[2024-05-16 22:28:37,132] - INFO: Eval PSNR (current): 37.958 (1980) SSIM (current): 0.9607 (1980) +[2024-05-16 22:28:37,132] - INFO: Evaluation over. +[2024-05-16 22:28:43,132] - INFO: Epoch 1981/9999, Iter 99000: Loss = 0.014213865622878075, lr = [1.25e-05] +[2024-05-16 22:29:00,200] - INFO: Epoch 1981/9999, Iter 99020: Loss = 0.011267351917922497, lr = [1.25e-05] +[2024-05-16 22:29:18,069] - INFO: Epoch 1981/9999, Iter 99040: Loss = 0.01332953479140997, lr = [1.25e-05] +[2024-05-16 22:29:37,576] - INFO: Epoch 1982/9999, Iter 99060: Loss = 0.00855171401053667, lr = [1.25e-05] +[2024-05-16 22:29:55,733] - INFO: Epoch 1982/9999, Iter 99080: Loss = 0.012760895304381847, lr = [1.25e-05] +[2024-05-16 22:30:14,717] - INFO: Epoch 1983/9999, Iter 99100: Loss = 0.010468642227351665, lr = [1.25e-05] +[2024-05-16 22:30:32,405] - INFO: Epoch 1983/9999, Iter 99120: Loss = 0.013652694411575794, lr = [1.25e-05] +[2024-05-16 22:30:50,197] - INFO: Epoch 1983/9999, Iter 99140: Loss = 0.00851796381175518, lr = [1.25e-05] +[2024-05-16 22:31:08,910] - INFO: Epoch 1984/9999, Iter 99160: Loss = 0.010834387503564358, lr = [1.25e-05] +[2024-05-16 22:31:26,060] - INFO: Epoch 1984/9999, Iter 99180: Loss = 0.02079189196228981, lr = [1.25e-05] +[2024-05-16 22:31:45,163] - INFO: Epoch 1985/9999, Iter 99200: Loss = 0.01461454015225172, lr = [1.25e-05] +[2024-05-16 22:32:02,672] - INFO: Epoch 1985/9999, Iter 99220: Loss = 0.007776409387588501, lr = [1.25e-05] +[2024-05-16 22:32:21,272] - INFO: Epoch 1985/9999, Iter 99240: Loss = 0.013166094198822975, lr = [1.25e-05] +[2024-05-16 22:32:28,668] - INFO: Evaluate at epoch 1985! +[2024-05-16 22:32:32,199] - INFO: Eval PSNR (max): 37.984 (1895) SSIM (max): 0.9608 (1865) +[2024-05-16 22:32:32,199] - INFO: Eval PSNR (current): 37.951 (1985) SSIM (current): 0.9607 (1985) +[2024-05-16 22:32:32,199] - INFO: Evaluation over. +[2024-05-16 22:32:47,014] - INFO: Epoch 1986/9999, Iter 99260: Loss = 0.014743833802640438, lr = [1.25e-05] +[2024-05-16 22:33:04,643] - INFO: Epoch 1986/9999, Iter 99280: Loss = 0.012583566829562187, lr = [1.25e-05] +[2024-05-16 22:33:23,849] - INFO: Epoch 1987/9999, Iter 99300: Loss = 0.016012756153941154, lr = [1.25e-05] +[2024-05-16 22:33:43,089] - INFO: Epoch 1987/9999, Iter 99320: Loss = 0.008837394416332245, lr = [1.25e-05] +[2024-05-16 22:34:00,371] - INFO: Epoch 1987/9999, Iter 99340: Loss = 0.008071565069258213, lr = [1.25e-05] +[2024-05-16 22:34:19,276] - INFO: Epoch 1988/9999, Iter 99360: Loss = 0.014533830806612968, lr = [1.25e-05] +[2024-05-16 22:34:36,849] - INFO: Epoch 1988/9999, Iter 99380: Loss = 0.008370800875127316, lr = [1.25e-05] +[2024-05-16 22:34:55,974] - INFO: Epoch 1989/9999, Iter 99400: Loss = 0.013462962582707405, lr = [1.25e-05] +[2024-05-16 22:35:13,288] - INFO: Epoch 1989/9999, Iter 99420: Loss = 0.011054175905883312, lr = [1.25e-05] +[2024-05-16 22:35:30,882] - INFO: Epoch 1989/9999, Iter 99440: Loss = 0.008846578188240528, lr = [1.25e-05] +[2024-05-16 22:35:50,131] - INFO: Epoch 1990/9999, Iter 99460: Loss = 0.01107135508209467, lr = [1.25e-05] +[2024-05-16 22:36:08,360] - INFO: Epoch 1990/9999, Iter 99480: Loss = 0.013683818280696869, lr = [1.25e-05] +[2024-05-16 22:36:24,678] - INFO: Evaluate at epoch 1990! +[2024-05-16 22:36:28,305] - INFO: Eval PSNR (max): 37.984 (1895) SSIM (max): 0.9608 (1865) +[2024-05-16 22:36:28,305] - INFO: Eval PSNR (current): 37.965 (1990) SSIM (current): 0.9607 (1990) +[2024-05-16 22:36:28,305] - INFO: Evaluation over. +[2024-05-16 22:36:34,440] - INFO: Epoch 1991/9999, Iter 99500: Loss = 0.014228046871721745, lr = [1.25e-05] +[2024-05-16 22:36:52,224] - INFO: Epoch 1991/9999, Iter 99520: Loss = 0.010874469764530659, lr = [1.25e-05] +[2024-05-16 22:37:11,376] - INFO: Epoch 1991/9999, Iter 99540: Loss = 0.012390903197228909, lr = [1.25e-05] +[2024-05-16 22:37:30,357] - INFO: Epoch 1992/9999, Iter 99560: Loss = 0.012037566863000393, lr = [1.25e-05] +[2024-05-16 22:37:47,944] - INFO: Epoch 1992/9999, Iter 99580: Loss = 0.01272560190409422, lr = [1.25e-05] +[2024-05-16 22:38:06,116] - INFO: Epoch 1993/9999, Iter 99600: Loss = 0.013266737572848797, lr = [1.25e-05] +[2024-05-16 22:38:24,318] - INFO: Epoch 1993/9999, Iter 99620: Loss = 0.019482234492897987, lr = [1.25e-05] +[2024-05-16 22:38:41,734] - INFO: Epoch 1993/9999, Iter 99640: Loss = 0.007452403195202351, lr = [1.25e-05] +[2024-05-16 22:39:01,007] - INFO: Epoch 1994/9999, Iter 99660: Loss = 0.015889039263129234, lr = [1.25e-05] +[2024-05-16 22:39:19,361] - INFO: Epoch 1994/9999, Iter 99680: Loss = 0.0145467733964324, lr = [1.25e-05] +[2024-05-16 22:39:38,494] - INFO: Epoch 1995/9999, Iter 99700: Loss = 0.011476319283246994, lr = [1.25e-05] +[2024-05-16 22:39:56,528] - INFO: Epoch 1995/9999, Iter 99720: Loss = 0.013222460635006428, lr = [1.25e-05] +[2024-05-16 22:40:15,012] - INFO: Epoch 1995/9999, Iter 99740: Loss = 0.007188681047409773, lr = [1.25e-05] +[2024-05-16 22:40:22,546] - INFO: Evaluate at epoch 1995! +[2024-05-16 22:40:26,412] - INFO: Eval PSNR (max): 37.984 (1895) SSIM (max): 0.9608 (1865) +[2024-05-16 22:40:26,412] - INFO: Eval PSNR (current): 37.959 (1995) SSIM (current): 0.9607 (1995) +[2024-05-16 22:40:26,412] - INFO: Evaluation over. +[2024-05-16 22:40:40,875] - INFO: Epoch 1996/9999, Iter 99760: Loss = 0.009035222232341766, lr = [1.25e-05] +[2024-05-16 22:40:58,434] - INFO: Epoch 1996/9999, Iter 99780: Loss = 0.011881818063557148, lr = [1.25e-05] +[2024-05-16 22:41:17,984] - INFO: Epoch 1997/9999, Iter 99800: Loss = 0.01393132284283638, lr = [1.25e-05] +[2024-05-16 22:41:36,106] - INFO: Epoch 1997/9999, Iter 99820: Loss = 0.011274212040007114, lr = [1.25e-05] +[2024-05-16 22:41:53,870] - INFO: Epoch 1997/9999, Iter 99840: Loss = 0.016285281628370285, lr = [1.25e-05] +[2024-05-16 22:42:12,752] - INFO: Epoch 1998/9999, Iter 99860: Loss = 0.014223086647689342, lr = [1.25e-05] +[2024-05-16 22:42:30,842] - INFO: Epoch 1998/9999, Iter 99880: Loss = 0.01662771962583065, lr = [1.25e-05] +[2024-05-16 22:42:49,448] - INFO: Epoch 1999/9999, Iter 99900: Loss = 0.013289174996316433, lr = [1.25e-05] +[2024-05-16 22:43:07,211] - INFO: Epoch 1999/9999, Iter 99920: Loss = 0.008662584237754345, lr = [1.25e-05] +[2024-05-16 22:43:25,058] - INFO: Epoch 1999/9999, Iter 99940: Loss = 0.011070678010582924, lr = [1.25e-05] +[2024-05-16 22:43:44,640] - INFO: Epoch 2000/9999, Iter 99960: Loss = 0.015170324593782425, lr = [1.25e-05] +[2024-05-16 22:44:02,068] - INFO: Epoch 2000/9999, Iter 99980: Loss = 0.018567098304629326, lr = [1.25e-05] +[2024-05-16 22:44:19,136] - INFO: Evaluate at epoch 2000! +[2024-05-16 22:44:22,657] - INFO: Eval PSNR (max): 37.984 (1895) SSIM (max): 0.9608 (1865) +[2024-05-16 22:44:22,657] - INFO: Eval PSNR (current): 37.974 (2000) SSIM (current): 0.9607 (2000) +[2024-05-16 22:44:22,657] - INFO: Evaluation over. +[2024-05-16 22:44:28,888] - INFO: Epoch 2001/9999, Iter 100000: Loss = 0.011211647652089596, lr = [6.25e-06] +[2024-05-16 22:44:46,604] - INFO: Epoch 2001/9999, Iter 100020: Loss = 0.009057480841875076, lr = [6.25e-06] +[2024-05-16 22:45:04,714] - INFO: Epoch 2001/9999, Iter 100040: Loss = 0.012731579132378101, lr = [6.25e-06] +[2024-05-16 22:45:23,633] - INFO: Epoch 2002/9999, Iter 100060: Loss = 0.011355536989867687, lr = [6.25e-06] +[2024-05-16 22:45:42,137] - INFO: Epoch 2002/9999, Iter 100080: Loss = 0.010965932160615921, lr = [6.25e-06] +[2024-05-16 22:46:01,036] - INFO: Epoch 2003/9999, Iter 100100: Loss = 0.011187908239662647, lr = [6.25e-06] +[2024-05-16 22:46:19,406] - INFO: Epoch 2003/9999, Iter 100120: Loss = 0.012932096607983112, lr = [6.25e-06] +[2024-05-16 22:46:37,548] - INFO: Epoch 2003/9999, Iter 100140: Loss = 0.01311479788273573, lr = [6.25e-06] +[2024-05-16 22:46:56,571] - INFO: Epoch 2004/9999, Iter 100160: Loss = 0.013255545869469643, lr = [6.25e-06] +[2024-05-16 22:47:15,008] - INFO: Epoch 2004/9999, Iter 100180: Loss = 0.011998982168734074, lr = [6.25e-06] +[2024-05-16 22:47:33,553] - INFO: Epoch 2005/9999, Iter 100200: Loss = 0.013115993700921535, lr = [6.25e-06] +[2024-05-16 22:47:51,734] - INFO: Epoch 2005/9999, Iter 100220: Loss = 0.0072547076269984245, lr = [6.25e-06] +[2024-05-16 22:48:09,810] - INFO: Epoch 2005/9999, Iter 100240: Loss = 0.015449989587068558, lr = [6.25e-06] +[2024-05-16 22:48:17,269] - INFO: Evaluate at epoch 2005! +[2024-05-16 22:48:20,957] - INFO: Eval PSNR (max): 37.984 (1895) SSIM (max): 0.9608 (1865) +[2024-05-16 22:48:20,957] - INFO: Eval PSNR (current): 37.966 (2005) SSIM (current): 0.9608 (2005) +[2024-05-16 22:48:20,958] - INFO: Evaluation over. +[2024-05-16 22:48:35,574] - INFO: Epoch 2006/9999, Iter 100260: Loss = 0.012044072151184082, lr = [6.25e-06] +[2024-05-16 22:48:53,784] - INFO: Epoch 2006/9999, Iter 100280: Loss = 0.011070169508457184, lr = [6.25e-06] +[2024-05-16 22:49:13,096] - INFO: Epoch 2007/9999, Iter 100300: Loss = 0.01907545141875744, lr = [6.25e-06] +[2024-05-16 22:49:30,590] - INFO: Epoch 2007/9999, Iter 100320: Loss = 0.01262233592569828, lr = [6.25e-06] +[2024-05-16 22:49:48,751] - INFO: Epoch 2007/9999, Iter 100340: Loss = 0.00909255538135767, lr = [6.25e-06] +[2024-05-16 22:50:07,799] - INFO: Epoch 2008/9999, Iter 100360: Loss = 0.014927724376320839, lr = [6.25e-06] +[2024-05-16 22:50:25,624] - INFO: Epoch 2008/9999, Iter 100380: Loss = 0.011536180973052979, lr = [6.25e-06] +[2024-05-16 22:50:43,915] - INFO: Epoch 2009/9999, Iter 100400: Loss = 0.01097619067877531, lr = [6.25e-06] +[2024-05-16 22:51:00,848] - INFO: Epoch 2009/9999, Iter 100420: Loss = 0.011372729204595089, lr = [6.25e-06] +[2024-05-16 22:51:18,744] - INFO: Epoch 2009/9999, Iter 100440: Loss = 0.01208275556564331, lr = [6.25e-06] +[2024-05-16 22:51:38,180] - INFO: Epoch 2010/9999, Iter 100460: Loss = 0.015274875797331333, lr = [6.25e-06] +[2024-05-16 22:51:56,272] - INFO: Epoch 2010/9999, Iter 100480: Loss = 0.010360894724726677, lr = [6.25e-06] +[2024-05-16 22:52:12,054] - INFO: Evaluate at epoch 2010! +[2024-05-16 22:52:15,706] - INFO: Eval PSNR (max): 37.984 (1895) SSIM (max): 0.9608 (1865) +[2024-05-16 22:52:15,706] - INFO: Eval PSNR (current): 37.975 (2010) SSIM (current): 0.9608 (2010) +[2024-05-16 22:52:15,706] - INFO: Evaluation over. +[2024-05-16 22:52:21,756] - INFO: Epoch 2011/9999, Iter 100500: Loss = 0.017446711659431458, lr = [6.25e-06] +[2024-05-16 22:52:39,118] - INFO: Epoch 2011/9999, Iter 100520: Loss = 0.014311853796243668, lr = [6.25e-06] +[2024-05-16 22:52:57,264] - INFO: Epoch 2011/9999, Iter 100540: Loss = 0.011627381667494774, lr = [6.25e-06] +[2024-05-16 22:53:16,324] - INFO: Epoch 2012/9999, Iter 100560: Loss = 0.00964327435940504, lr = [6.25e-06] +[2024-05-16 22:53:33,762] - INFO: Epoch 2012/9999, Iter 100580: Loss = 0.015427375212311745, lr = [6.25e-06] +[2024-05-16 22:53:52,920] - INFO: Epoch 2013/9999, Iter 100600: Loss = 0.011258349753916264, lr = [6.25e-06] +[2024-05-16 22:54:11,168] - INFO: Epoch 2013/9999, Iter 100620: Loss = 0.01126948557794094, lr = [6.25e-06] +[2024-05-16 22:54:28,984] - INFO: Epoch 2013/9999, Iter 100640: Loss = 0.014147872105240822, lr = [6.25e-06] +[2024-05-16 22:54:48,200] - INFO: Epoch 2014/9999, Iter 100660: Loss = 0.012967072427272797, lr = [6.25e-06] +[2024-05-16 22:55:05,264] - INFO: Epoch 2014/9999, Iter 100680: Loss = 0.013434485532343388, lr = [6.25e-06] +[2024-05-16 22:55:24,784] - INFO: Epoch 2015/9999, Iter 100700: Loss = 0.013921649195253849, lr = [6.25e-06] +[2024-05-16 22:55:42,720] - INFO: Epoch 2015/9999, Iter 100720: Loss = 0.01416315883398056, lr = [6.25e-06] +[2024-05-16 22:56:00,675] - INFO: Epoch 2015/9999, Iter 100740: Loss = 0.014536290429532528, lr = [6.25e-06] +[2024-05-16 22:56:08,303] - INFO: Evaluate at epoch 2015! +[2024-05-16 22:56:11,875] - INFO: Eval PSNR (max): 37.984 (1895) SSIM (max): 0.9608 (1865) +[2024-05-16 22:56:11,875] - INFO: Eval PSNR (current): 37.966 (2015) SSIM (current): 0.9607 (2015) +[2024-05-16 22:56:11,876] - INFO: Evaluation over. +[2024-05-16 22:56:27,197] - INFO: Epoch 2016/9999, Iter 100760: Loss = 0.016497749835252762, lr = [6.25e-06] +[2024-05-16 22:56:45,302] - INFO: Epoch 2016/9999, Iter 100780: Loss = 0.00860322080552578, lr = [6.25e-06] +[2024-05-16 22:57:04,701] - INFO: Epoch 2017/9999, Iter 100800: Loss = 0.015705278143286705, lr = [6.25e-06] +[2024-05-16 22:57:22,423] - INFO: Epoch 2017/9999, Iter 100820: Loss = 0.013802751898765564, lr = [6.25e-06] +[2024-05-16 22:57:40,496] - INFO: Epoch 2017/9999, Iter 100840: Loss = 0.0130669716745615, lr = [6.25e-06] +[2024-05-16 22:57:58,617] - INFO: Epoch 2018/9999, Iter 100860: Loss = 0.009432359598577023, lr = [6.25e-06] +[2024-05-16 22:58:16,552] - INFO: Epoch 2018/9999, Iter 100880: Loss = 0.010832501575350761, lr = [6.25e-06] +[2024-05-16 22:58:35,829] - INFO: Epoch 2019/9999, Iter 100900: Loss = 0.014270903542637825, lr = [6.25e-06] +[2024-05-16 22:58:52,745] - INFO: Epoch 2019/9999, Iter 100920: Loss = 0.009092719294130802, lr = [6.25e-06] +[2024-05-16 22:59:10,476] - INFO: Epoch 2019/9999, Iter 100940: Loss = 0.01592175103724003, lr = [6.25e-06] +[2024-05-16 22:59:30,006] - INFO: Epoch 2020/9999, Iter 100960: Loss = 0.015871962532401085, lr = [6.25e-06] +[2024-05-16 22:59:48,236] - INFO: Epoch 2020/9999, Iter 100980: Loss = 0.013031440787017345, lr = [6.25e-06] +[2024-05-16 23:00:04,905] - INFO: Evaluate at epoch 2020! +[2024-05-16 23:00:08,714] - INFO: Eval PSNR (max): 37.984 (1895) SSIM (max): 0.9608 (1865) +[2024-05-16 23:00:08,714] - INFO: Eval PSNR (current): 37.979 (2020) SSIM (current): 0.9608 (2020) +[2024-05-16 23:00:08,714] - INFO: Evaluation over. +[2024-05-16 23:00:14,596] - INFO: Epoch 2021/9999, Iter 101000: Loss = 0.012802147306501865, lr = [6.25e-06] +[2024-05-16 23:00:32,484] - INFO: Epoch 2021/9999, Iter 101020: Loss = 0.013682913966476917, lr = [6.25e-06] +[2024-05-16 23:00:50,308] - INFO: Epoch 2021/9999, Iter 101040: Loss = 0.006566676776856184, lr = [6.25e-06] +[2024-05-16 23:01:09,414] - INFO: Epoch 2022/9999, Iter 101060: Loss = 0.011273372918367386, lr = [6.25e-06] +[2024-05-16 23:01:27,607] - INFO: Epoch 2022/9999, Iter 101080: Loss = 0.009201315231621265, lr = [6.25e-06] +[2024-05-16 23:01:46,611] - INFO: Epoch 2023/9999, Iter 101100: Loss = 0.011323369108140469, lr = [6.25e-06] +[2024-05-16 23:02:04,469] - INFO: Epoch 2023/9999, Iter 101120: Loss = 0.016519911587238312, lr = [6.25e-06] +[2024-05-16 23:02:22,396] - INFO: Epoch 2023/9999, Iter 101140: Loss = 0.008398550562560558, lr = [6.25e-06] +[2024-05-16 23:02:41,123] - INFO: Epoch 2024/9999, Iter 101160: Loss = 0.008351902477443218, lr = [6.25e-06] +[2024-05-16 23:02:59,732] - INFO: Epoch 2024/9999, Iter 101180: Loss = 0.010905658826231956, lr = [6.25e-06] +[2024-05-16 23:03:18,457] - INFO: Epoch 2025/9999, Iter 101200: Loss = 0.012830258347094059, lr = [6.25e-06] +[2024-05-16 23:03:35,848] - INFO: Epoch 2025/9999, Iter 101220: Loss = 0.007272148039191961, lr = [6.25e-06] +[2024-05-16 23:03:53,256] - INFO: Epoch 2025/9999, Iter 101240: Loss = 0.013093889690935612, lr = [6.25e-06] +[2024-05-16 23:04:01,477] - INFO: Evaluate at epoch 2025! +[2024-05-16 23:04:05,187] - INFO: Eval PSNR (max): 37.984 (1895) SSIM (max): 0.9608 (1865) +[2024-05-16 23:04:05,187] - INFO: Eval PSNR (current): 37.979 (2025) SSIM (current): 0.9607 (2025) +[2024-05-16 23:04:05,187] - INFO: Evaluation over. +[2024-05-16 23:04:20,671] - INFO: Epoch 2026/9999, Iter 101260: Loss = 0.0121218366548419, lr = [6.25e-06] +[2024-05-16 23:04:38,509] - INFO: Epoch 2026/9999, Iter 101280: Loss = 0.01684439554810524, lr = [6.25e-06] +[2024-05-16 23:04:57,484] - INFO: Epoch 2027/9999, Iter 101300: Loss = 0.014307437464594841, lr = [6.25e-06] +[2024-05-16 23:05:15,326] - INFO: Epoch 2027/9999, Iter 101320: Loss = 0.012605232186615467, lr = [6.25e-06] +[2024-05-16 23:05:33,293] - INFO: Epoch 2027/9999, Iter 101340: Loss = 0.010553463362157345, lr = [6.25e-06] +[2024-05-16 23:05:51,900] - INFO: Epoch 2028/9999, Iter 101360: Loss = 0.013678108341991901, lr = [6.25e-06] +[2024-05-16 23:06:09,934] - INFO: Epoch 2028/9999, Iter 101380: Loss = 0.012368276715278625, lr = [6.25e-06] +[2024-05-16 23:06:29,268] - INFO: Epoch 2029/9999, Iter 101400: Loss = 0.010780681855976582, lr = [6.25e-06] +[2024-05-16 23:06:46,658] - INFO: Epoch 2029/9999, Iter 101420: Loss = 0.011666489765048027, lr = [6.25e-06] +[2024-05-16 23:07:04,571] - INFO: Epoch 2029/9999, Iter 101440: Loss = 0.020576193928718567, lr = [6.25e-06] +[2024-05-16 23:07:24,053] - INFO: Epoch 2030/9999, Iter 101460: Loss = 0.017835916951298714, lr = [6.25e-06] +[2024-05-16 23:07:41,998] - INFO: Epoch 2030/9999, Iter 101480: Loss = 0.012178168632090092, lr = [6.25e-06] +[2024-05-16 23:07:58,770] - INFO: Evaluate at epoch 2030! +[2024-05-16 23:08:06,316] - INFO: Eval PSNR (max): 37.988 (2030) SSIM (max): 0.9608 (1865) +[2024-05-16 23:08:06,316] - INFO: Eval PSNR (current): 37.988 (2030) SSIM (current): 0.9608 (2030) +[2024-05-16 23:08:06,316] - INFO: Evaluation over. +[2024-05-16 23:08:12,441] - INFO: Epoch 2031/9999, Iter 101500: Loss = 0.013604504056274891, lr = [6.25e-06] +[2024-05-16 23:08:29,599] - INFO: Epoch 2031/9999, Iter 101520: Loss = 0.017405152320861816, lr = [6.25e-06] +[2024-05-16 23:08:48,436] - INFO: Epoch 2031/9999, Iter 101540: Loss = 0.012472318485379219, lr = [6.25e-06] +[2024-05-16 23:09:07,878] - INFO: Epoch 2032/9999, Iter 101560: Loss = 0.015110239386558533, lr = [6.25e-06] +[2024-05-16 23:09:25,628] - INFO: Epoch 2032/9999, Iter 101580: Loss = 0.015333480201661587, lr = [6.25e-06] +[2024-05-16 23:09:44,660] - INFO: Epoch 2033/9999, Iter 101600: Loss = 0.008803660981357098, lr = [6.25e-06] +[2024-05-16 23:10:01,800] - INFO: Epoch 2033/9999, Iter 101620: Loss = 0.008217452093958855, lr = [6.25e-06] +[2024-05-16 23:10:19,520] - INFO: Epoch 2033/9999, Iter 101640: Loss = 0.013404816389083862, lr = [6.25e-06] +[2024-05-16 23:10:38,520] - INFO: Epoch 2034/9999, Iter 101660: Loss = 0.015642303973436356, lr = [6.25e-06] +[2024-05-16 23:10:56,167] - INFO: Epoch 2034/9999, Iter 101680: Loss = 0.012554643675684929, lr = [6.25e-06] +[2024-05-16 23:11:15,668] - INFO: Epoch 2035/9999, Iter 101700: Loss = 0.01133900135755539, lr = [6.25e-06] +[2024-05-16 23:11:32,572] - INFO: Epoch 2035/9999, Iter 101720: Loss = 0.013981849886476994, lr = [6.25e-06] +[2024-05-16 23:11:50,140] - INFO: Epoch 2035/9999, Iter 101740: Loss = 0.014846667647361755, lr = [6.25e-06] +[2024-05-16 23:11:57,986] - INFO: Evaluate at epoch 2035! +[2024-05-16 23:12:05,016] - INFO: Eval PSNR (max): 37.998 (2035) SSIM (max): 0.9608 (1865) +[2024-05-16 23:12:05,016] - INFO: Eval PSNR (current): 37.998 (2035) SSIM (current): 0.9608 (2035) +[2024-05-16 23:12:05,016] - INFO: Evaluation over. +[2024-05-16 23:12:20,382] - INFO: Epoch 2036/9999, Iter 101760: Loss = 0.013035057112574577, lr = [6.25e-06] +[2024-05-16 23:12:38,680] - INFO: Epoch 2036/9999, Iter 101780: Loss = 0.006111461669206619, lr = [6.25e-06] +[2024-05-16 23:12:57,388] - INFO: Epoch 2037/9999, Iter 101800: Loss = 0.01651010848581791, lr = [6.25e-06] +[2024-05-16 23:13:15,368] - INFO: Epoch 2037/9999, Iter 101820: Loss = 0.01643547974526882, lr = [6.25e-06] +[2024-05-16 23:13:33,304] - INFO: Epoch 2037/9999, Iter 101840: Loss = 0.011985556222498417, lr = [6.25e-06] +[2024-05-16 23:13:52,541] - INFO: Epoch 2038/9999, Iter 101860: Loss = 0.016431963071227074, lr = [6.25e-06] +[2024-05-16 23:14:10,760] - INFO: Epoch 2038/9999, Iter 101880: Loss = 0.012574229389429092, lr = [6.25e-06] +[2024-05-16 23:14:29,679] - INFO: Epoch 2039/9999, Iter 101900: Loss = 0.01092510111629963, lr = [6.25e-06] +[2024-05-16 23:14:47,248] - INFO: Epoch 2039/9999, Iter 101920: Loss = 0.01439311821013689, lr = [6.25e-06] +[2024-05-16 23:15:05,368] - INFO: Epoch 2039/9999, Iter 101940: Loss = 0.011950060725212097, lr = [6.25e-06] +[2024-05-16 23:15:24,511] - INFO: Epoch 2040/9999, Iter 101960: Loss = 0.012859232723712921, lr = [6.25e-06] +[2024-05-16 23:15:42,254] - INFO: Epoch 2040/9999, Iter 101980: Loss = 0.01077341753989458, lr = [6.25e-06] +[2024-05-16 23:15:58,738] - INFO: Evaluate at epoch 2040! +[2024-05-16 23:16:02,420] - INFO: Eval PSNR (max): 37.998 (2035) SSIM (max): 0.9608 (1865) +[2024-05-16 23:16:02,420] - INFO: Eval PSNR (current): 37.988 (2040) SSIM (current): 0.9607 (2040) +[2024-05-16 23:16:02,420] - INFO: Evaluation over. +[2024-05-16 23:16:08,404] - INFO: Epoch 2041/9999, Iter 102000: Loss = 0.011821426451206207, lr = [6.25e-06] +[2024-05-16 23:16:25,891] - INFO: Epoch 2041/9999, Iter 102020: Loss = 0.013111810199916363, lr = [6.25e-06] +[2024-05-16 23:16:43,680] - INFO: Epoch 2041/9999, Iter 102040: Loss = 0.015157622285187244, lr = [6.25e-06] +[2024-05-16 23:17:03,540] - INFO: Epoch 2042/9999, Iter 102060: Loss = 0.011849308386445045, lr = [6.25e-06] +[2024-05-16 23:17:21,546] - INFO: Epoch 2042/9999, Iter 102080: Loss = 0.009906399995088577, lr = [6.25e-06] +[2024-05-16 23:17:40,703] - INFO: Epoch 2043/9999, Iter 102100: Loss = 0.008730386383831501, lr = [6.25e-06] +[2024-05-16 23:17:58,101] - INFO: Epoch 2043/9999, Iter 102120: Loss = 0.009325133636593819, lr = [6.25e-06] +[2024-05-16 23:18:16,074] - INFO: Epoch 2043/9999, Iter 102140: Loss = 0.015805907547473907, lr = [6.25e-06] +[2024-05-16 23:18:34,688] - INFO: Epoch 2044/9999, Iter 102160: Loss = 0.013358400203287601, lr = [6.25e-06] +[2024-05-16 23:18:52,661] - INFO: Epoch 2044/9999, Iter 102180: Loss = 0.011791816912591457, lr = [6.25e-06] +[2024-05-16 23:19:11,732] - INFO: Epoch 2045/9999, Iter 102200: Loss = 0.013364911079406738, lr = [6.25e-06] +[2024-05-16 23:19:29,574] - INFO: Epoch 2045/9999, Iter 102220: Loss = 0.010882039554417133, lr = [6.25e-06] +[2024-05-16 23:19:47,319] - INFO: Epoch 2045/9999, Iter 102240: Loss = 0.011407342739403248, lr = [6.25e-06] +[2024-05-16 23:19:55,196] - INFO: Evaluate at epoch 2045! +[2024-05-16 23:19:58,650] - INFO: Eval PSNR (max): 37.998 (2035) SSIM (max): 0.9608 (1865) +[2024-05-16 23:19:58,651] - INFO: Eval PSNR (current): 37.985 (2045) SSIM (current): 0.9607 (2045) +[2024-05-16 23:19:58,651] - INFO: Evaluation over. +[2024-05-16 23:20:13,270] - INFO: Epoch 2046/9999, Iter 102260: Loss = 0.010537071153521538, lr = [6.25e-06] +[2024-05-16 23:20:31,156] - INFO: Epoch 2046/9999, Iter 102280: Loss = 0.011220360174775124, lr = [6.25e-06] +[2024-05-16 23:20:50,056] - INFO: Epoch 2047/9999, Iter 102300: Loss = 0.012573802843689919, lr = [6.25e-06] +[2024-05-16 23:21:07,729] - INFO: Epoch 2047/9999, Iter 102320: Loss = 0.013090730644762516, lr = [6.25e-06] +[2024-05-16 23:21:25,803] - INFO: Epoch 2047/9999, Iter 102340: Loss = 0.009847143664956093, lr = [6.25e-06] +[2024-05-16 23:21:45,190] - INFO: Epoch 2048/9999, Iter 102360: Loss = 0.014460593461990356, lr = [6.25e-06] +[2024-05-16 23:22:02,910] - INFO: Epoch 2048/9999, Iter 102380: Loss = 0.011309412308037281, lr = [6.25e-06] +[2024-05-16 23:22:22,042] - INFO: Epoch 2049/9999, Iter 102400: Loss = 0.013100295327603817, lr = [6.25e-06] +[2024-05-16 23:22:39,900] - INFO: Epoch 2049/9999, Iter 102420: Loss = 0.015671417117118835, lr = [6.25e-06] +[2024-05-16 23:22:57,724] - INFO: Epoch 2049/9999, Iter 102440: Loss = 0.01118990033864975, lr = [6.25e-06] +[2024-05-16 23:23:17,242] - INFO: Epoch 2050/9999, Iter 102460: Loss = 0.008998219855129719, lr = [6.25e-06] +[2024-05-16 23:23:34,604] - INFO: Epoch 2050/9999, Iter 102480: Loss = 0.014619456604123116, lr = [6.25e-06] +[2024-05-16 23:23:51,298] - INFO: Evaluate at epoch 2050! +[2024-05-16 23:23:54,897] - INFO: Eval PSNR (max): 37.998 (2035) SSIM (max): 0.9608 (1865) +[2024-05-16 23:23:54,898] - INFO: Eval PSNR (current): 37.979 (2050) SSIM (current): 0.9608 (2050) +[2024-05-16 23:23:54,898] - INFO: Evaluation over. +[2024-05-16 23:24:00,772] - INFO: Epoch 2051/9999, Iter 102500: Loss = 0.012074314057826996, lr = [6.25e-06] +[2024-05-16 23:24:17,604] - INFO: Epoch 2051/9999, Iter 102520: Loss = 0.013090932741761208, lr = [6.25e-06] +[2024-05-16 23:24:35,282] - INFO: Epoch 2051/9999, Iter 102540: Loss = 0.011789406649768353, lr = [6.25e-06] +[2024-05-16 23:24:54,473] - INFO: Epoch 2052/9999, Iter 102560: Loss = 0.013250256888568401, lr = [6.25e-06] +[2024-05-16 23:25:11,596] - INFO: Epoch 2052/9999, Iter 102580: Loss = 0.010955492965877056, lr = [6.25e-06] +[2024-05-16 23:25:30,957] - INFO: Epoch 2053/9999, Iter 102600: Loss = 0.01689363829791546, lr = [6.25e-06] +[2024-05-16 23:25:48,045] - INFO: Epoch 2053/9999, Iter 102620: Loss = 0.01584806852042675, lr = [6.25e-06] +[2024-05-16 23:26:05,453] - INFO: Epoch 2053/9999, Iter 102640: Loss = 0.010677827522158623, lr = [6.25e-06] +[2024-05-16 23:26:24,672] - INFO: Epoch 2054/9999, Iter 102660: Loss = 0.012143554165959358, lr = [6.25e-06] +[2024-05-16 23:26:43,119] - INFO: Epoch 2054/9999, Iter 102680: Loss = 0.014111275784671307, lr = [6.25e-06] +[2024-05-16 23:27:01,973] - INFO: Epoch 2055/9999, Iter 102700: Loss = 0.0121347950771451, lr = [6.25e-06] +[2024-05-16 23:27:19,272] - INFO: Epoch 2055/9999, Iter 102720: Loss = 0.014897922985255718, lr = [6.25e-06] +[2024-05-16 23:27:36,773] - INFO: Epoch 2055/9999, Iter 102740: Loss = 0.020833183079957962, lr = [6.25e-06] +[2024-05-16 23:27:44,517] - INFO: Evaluate at epoch 2055! +[2024-05-16 23:27:48,054] - INFO: Eval PSNR (max): 37.998 (2035) SSIM (max): 0.9608 (1865) +[2024-05-16 23:27:48,054] - INFO: Eval PSNR (current): 37.988 (2055) SSIM (current): 0.9607 (2055) +[2024-05-16 23:27:48,054] - INFO: Evaluation over. +[2024-05-16 23:28:02,922] - INFO: Epoch 2056/9999, Iter 102760: Loss = 0.008719716221094131, lr = [6.25e-06] +[2024-05-16 23:28:20,347] - INFO: Epoch 2056/9999, Iter 102780: Loss = 0.013216386549174786, lr = [6.25e-06] +[2024-05-16 23:28:39,764] - INFO: Epoch 2057/9999, Iter 102800: Loss = 0.0068432302214205265, lr = [6.25e-06] +[2024-05-16 23:28:57,876] - INFO: Epoch 2057/9999, Iter 102820: Loss = 0.013838909566402435, lr = [6.25e-06] +[2024-05-16 23:29:15,858] - INFO: Epoch 2057/9999, Iter 102840: Loss = 0.013182560913264751, lr = [6.25e-06] +[2024-05-16 23:29:34,878] - INFO: Epoch 2058/9999, Iter 102860: Loss = 0.012209318578243256, lr = [6.25e-06] +[2024-05-16 23:29:52,966] - INFO: Epoch 2058/9999, Iter 102880: Loss = 0.00993004348129034, lr = [6.25e-06] +[2024-05-16 23:30:11,857] - INFO: Epoch 2059/9999, Iter 102900: Loss = 0.012370562180876732, lr = [6.25e-06] +[2024-05-16 23:30:29,981] - INFO: Epoch 2059/9999, Iter 102920: Loss = 0.010683812201023102, lr = [6.25e-06] +[2024-05-16 23:30:47,977] - INFO: Epoch 2059/9999, Iter 102940: Loss = 0.0169291440397501, lr = [6.25e-06] +[2024-05-16 23:31:06,238] - INFO: Epoch 2060/9999, Iter 102960: Loss = 0.014521775767207146, lr = [6.25e-06] +[2024-05-16 23:31:24,503] - INFO: Epoch 2060/9999, Iter 102980: Loss = 0.014095938764512539, lr = [6.25e-06] +[2024-05-16 23:31:41,032] - INFO: Evaluate at epoch 2060! +[2024-05-16 23:31:44,584] - INFO: Eval PSNR (max): 37.998 (2035) SSIM (max): 0.9608 (1865) +[2024-05-16 23:31:44,584] - INFO: Eval PSNR (current): 37.980 (2060) SSIM (current): 0.9608 (2060) +[2024-05-16 23:31:44,584] - INFO: Evaluation over. +[2024-05-16 23:31:50,671] - INFO: Epoch 2061/9999, Iter 103000: Loss = 0.009639058262109756, lr = [6.25e-06] +[2024-05-16 23:32:07,760] - INFO: Epoch 2061/9999, Iter 103020: Loss = 0.006428447086364031, lr = [6.25e-06] +[2024-05-16 23:32:25,664] - INFO: Epoch 2061/9999, Iter 103040: Loss = 0.013227853924036026, lr = [6.25e-06] +[2024-05-16 23:32:44,692] - INFO: Epoch 2062/9999, Iter 103060: Loss = 0.01655391789972782, lr = [6.25e-06] +[2024-05-16 23:33:03,087] - INFO: Epoch 2062/9999, Iter 103080: Loss = 0.01286689005792141, lr = [6.25e-06] +[2024-05-16 23:33:22,096] - INFO: Epoch 2063/9999, Iter 103100: Loss = 0.011520023457705975, lr = [6.25e-06] +[2024-05-16 23:33:40,022] - INFO: Epoch 2063/9999, Iter 103120: Loss = 0.011337226256728172, lr = [6.25e-06] +[2024-05-16 23:33:58,318] - INFO: Epoch 2063/9999, Iter 103140: Loss = 0.01001934427767992, lr = [6.25e-06] +[2024-05-16 23:34:17,187] - INFO: Epoch 2064/9999, Iter 103160: Loss = 0.012978612445294857, lr = [6.25e-06] +[2024-05-16 23:34:34,972] - INFO: Epoch 2064/9999, Iter 103180: Loss = 0.023558711633086205, lr = [6.25e-06] +[2024-05-16 23:34:54,298] - INFO: Epoch 2065/9999, Iter 103200: Loss = 0.009408158250153065, lr = [6.25e-06] +[2024-05-16 23:35:11,572] - INFO: Epoch 2065/9999, Iter 103220: Loss = 0.011095783673226833, lr = [6.25e-06] +[2024-05-16 23:35:28,520] - INFO: Epoch 2065/9999, Iter 103240: Loss = 0.012165531516075134, lr = [6.25e-06] +[2024-05-16 23:35:36,459] - INFO: Evaluate at epoch 2065! +[2024-05-16 23:35:40,070] - INFO: Eval PSNR (max): 37.998 (2035) SSIM (max): 0.9608 (1865) +[2024-05-16 23:35:40,070] - INFO: Eval PSNR (current): 37.991 (2065) SSIM (current): 0.9608 (2065) +[2024-05-16 23:35:40,070] - INFO: Evaluation over. +[2024-05-16 23:35:55,052] - INFO: Epoch 2066/9999, Iter 103260: Loss = 0.010181239806115627, lr = [6.25e-06] +[2024-05-16 23:36:12,552] - INFO: Epoch 2066/9999, Iter 103280: Loss = 0.013331097550690174, lr = [6.25e-06] +[2024-05-16 23:36:31,976] - INFO: Epoch 2067/9999, Iter 103300: Loss = 0.011449824087321758, lr = [6.25e-06] +[2024-05-16 23:36:50,355] - INFO: Epoch 2067/9999, Iter 103320: Loss = 0.018449069932103157, lr = [6.25e-06] +[2024-05-16 23:37:08,159] - INFO: Epoch 2067/9999, Iter 103340: Loss = 0.013116841204464436, lr = [6.25e-06] +[2024-05-16 23:37:26,540] - INFO: Epoch 2068/9999, Iter 103360: Loss = 0.012148687615990639, lr = [6.25e-06] +[2024-05-16 23:37:43,856] - INFO: Epoch 2068/9999, Iter 103380: Loss = 0.011699150316417217, lr = [6.25e-06] +[2024-05-16 23:38:03,232] - INFO: Epoch 2069/9999, Iter 103400: Loss = 0.013173948042094707, lr = [6.25e-06] +[2024-05-16 23:38:20,893] - INFO: Epoch 2069/9999, Iter 103420: Loss = 0.01097428984940052, lr = [6.25e-06] +[2024-05-16 23:38:38,384] - INFO: Epoch 2069/9999, Iter 103440: Loss = 0.018816370517015457, lr = [6.25e-06] +[2024-05-16 23:38:58,145] - INFO: Epoch 2070/9999, Iter 103460: Loss = 0.008480386808514595, lr = [6.25e-06] +[2024-05-16 23:39:16,344] - INFO: Epoch 2070/9999, Iter 103480: Loss = 0.008434910327196121, lr = [6.25e-06] +[2024-05-16 23:39:32,678] - INFO: Evaluate at epoch 2070! +[2024-05-16 23:39:43,593] - INFO: Eval PSNR (max): 37.999 (2070) SSIM (max): 0.9608 (2070) +[2024-05-16 23:39:43,594] - INFO: Eval PSNR (current): 37.999 (2070) SSIM (current): 0.9608 (2070) +[2024-05-16 23:39:43,594] - INFO: Evaluation over. +[2024-05-16 23:39:49,591] - INFO: Epoch 2071/9999, Iter 103500: Loss = 0.013658951967954636, lr = [6.25e-06] +[2024-05-16 23:40:07,604] - INFO: Epoch 2071/9999, Iter 103520: Loss = 0.013427318073809147, lr = [6.25e-06] +[2024-05-16 23:40:25,480] - INFO: Epoch 2071/9999, Iter 103540: Loss = 0.012041956186294556, lr = [6.25e-06] +[2024-05-16 23:40:44,293] - INFO: Epoch 2072/9999, Iter 103560: Loss = 0.017920294776558876, lr = [6.25e-06] +[2024-05-16 23:41:01,143] - INFO: Epoch 2072/9999, Iter 103580: Loss = 0.012406312860548496, lr = [6.25e-06] +[2024-05-16 23:41:20,012] - INFO: Epoch 2073/9999, Iter 103600: Loss = 0.010997532866895199, lr = [6.25e-06] +[2024-05-16 23:41:36,769] - INFO: Epoch 2073/9999, Iter 103620: Loss = 0.011015658266842365, lr = [6.25e-06] +[2024-05-16 23:41:54,478] - INFO: Epoch 2073/9999, Iter 103640: Loss = 0.012166224420070648, lr = [6.25e-06] +[2024-05-16 23:42:14,236] - INFO: Epoch 2074/9999, Iter 103660: Loss = 0.00658801943063736, lr = [6.25e-06] +[2024-05-16 23:42:31,996] - INFO: Epoch 2074/9999, Iter 103680: Loss = 0.014153276570141315, lr = [6.25e-06] +[2024-05-16 23:42:51,315] - INFO: Epoch 2075/9999, Iter 103700: Loss = 0.012444562278687954, lr = [6.25e-06] +[2024-05-16 23:43:08,680] - INFO: Epoch 2075/9999, Iter 103720: Loss = 0.012945502065122128, lr = [6.25e-06] +[2024-05-16 23:43:26,542] - INFO: Epoch 2075/9999, Iter 103740: Loss = 0.013472529128193855, lr = [6.25e-06] +[2024-05-16 23:43:34,409] - INFO: Evaluate at epoch 2075! +[2024-05-16 23:43:37,962] - INFO: Eval PSNR (max): 37.999 (2070) SSIM (max): 0.9608 (2070) +[2024-05-16 23:43:37,962] - INFO: Eval PSNR (current): 37.984 (2075) SSIM (current): 0.9607 (2075) +[2024-05-16 23:43:37,962] - INFO: Evaluation over. +[2024-05-16 23:43:53,078] - INFO: Epoch 2076/9999, Iter 103760: Loss = 0.013834650628268719, lr = [6.25e-06] +[2024-05-16 23:44:10,822] - INFO: Epoch 2076/9999, Iter 103780: Loss = 0.008217770606279373, lr = [6.25e-06] +[2024-05-16 23:44:29,583] - INFO: Epoch 2077/9999, Iter 103800: Loss = 0.012990827672183514, lr = [6.25e-06] +[2024-05-16 23:44:47,589] - INFO: Epoch 2077/9999, Iter 103820: Loss = 0.012925115413963795, lr = [6.25e-06] +[2024-05-16 23:45:05,996] - INFO: Epoch 2077/9999, Iter 103840: Loss = 0.011073428206145763, lr = [6.25e-06] +[2024-05-16 23:45:24,891] - INFO: Epoch 2078/9999, Iter 103860: Loss = 0.012494148686528206, lr = [6.25e-06] +[2024-05-16 23:45:42,124] - INFO: Epoch 2078/9999, Iter 103880: Loss = 0.015958871692419052, lr = [6.25e-06] +[2024-05-16 23:46:01,484] - INFO: Epoch 2079/9999, Iter 103900: Loss = 0.008005787618458271, lr = [6.25e-06] +[2024-05-16 23:46:19,177] - INFO: Epoch 2079/9999, Iter 103920: Loss = 0.012125152163207531, lr = [6.25e-06] +[2024-05-16 23:46:36,275] - INFO: Epoch 2079/9999, Iter 103940: Loss = 0.007495265454053879, lr = [6.25e-06] +[2024-05-16 23:46:55,432] - INFO: Epoch 2080/9999, Iter 103960: Loss = 0.014559299685060978, lr = [6.25e-06] +[2024-05-16 23:47:13,680] - INFO: Epoch 2080/9999, Iter 103980: Loss = 0.011808406561613083, lr = [6.25e-06] +[2024-05-16 23:47:30,485] - INFO: Evaluate at epoch 2080! +[2024-05-16 23:47:34,023] - INFO: Eval PSNR (max): 37.999 (2070) SSIM (max): 0.9608 (2070) +[2024-05-16 23:47:34,024] - INFO: Eval PSNR (current): 37.992 (2080) SSIM (current): 0.9608 (2080) +[2024-05-16 23:47:34,024] - INFO: Evaluation over. +[2024-05-16 23:47:40,271] - INFO: Epoch 2081/9999, Iter 104000: Loss = 0.013155795633792877, lr = [6.25e-06] +[2024-05-16 23:47:57,429] - INFO: Epoch 2081/9999, Iter 104020: Loss = 0.01332857646048069, lr = [6.25e-06] +[2024-05-16 23:48:15,768] - INFO: Epoch 2081/9999, Iter 104040: Loss = 0.010648769326508045, lr = [6.25e-06] +[2024-05-16 23:48:35,507] - INFO: Epoch 2082/9999, Iter 104060: Loss = 0.01598663628101349, lr = [6.25e-06] +[2024-05-16 23:48:53,144] - INFO: Epoch 2082/9999, Iter 104080: Loss = 0.01790616288781166, lr = [6.25e-06] +[2024-05-16 23:49:12,018] - INFO: Epoch 2083/9999, Iter 104100: Loss = 0.00639696791768074, lr = [6.25e-06] +[2024-05-16 23:49:30,223] - INFO: Epoch 2083/9999, Iter 104120: Loss = 0.011191648431122303, lr = [6.25e-06] +[2024-05-16 23:49:48,252] - INFO: Epoch 2083/9999, Iter 104140: Loss = 0.02087141014635563, lr = [6.25e-06] +[2024-05-16 23:50:06,608] - INFO: Epoch 2084/9999, Iter 104160: Loss = 0.01585911586880684, lr = [6.25e-06] +[2024-05-16 23:50:24,268] - INFO: Epoch 2084/9999, Iter 104180: Loss = 0.016007734462618828, lr = [6.25e-06] +[2024-05-16 23:50:43,128] - INFO: Epoch 2085/9999, Iter 104200: Loss = 0.013603501953184605, lr = [6.25e-06] +[2024-05-16 23:51:00,436] - INFO: Epoch 2085/9999, Iter 104220: Loss = 0.01883617229759693, lr = [6.25e-06] +[2024-05-16 23:51:17,520] - INFO: Epoch 2085/9999, Iter 104240: Loss = 0.010320468805730343, lr = [6.25e-06] +[2024-05-16 23:51:25,429] - INFO: Evaluate at epoch 2085! +[2024-05-16 23:51:29,093] - INFO: Eval PSNR (max): 37.999 (2070) SSIM (max): 0.9608 (2070) +[2024-05-16 23:51:29,094] - INFO: Eval PSNR (current): 37.988 (2085) SSIM (current): 0.9608 (2085) +[2024-05-16 23:51:29,094] - INFO: Evaluation over. +[2024-05-16 23:51:44,232] - INFO: Epoch 2086/9999, Iter 104260: Loss = 0.00891692005097866, lr = [6.25e-06] +[2024-05-16 23:52:02,610] - INFO: Epoch 2086/9999, Iter 104280: Loss = 0.013137477450072765, lr = [6.25e-06] +[2024-05-16 23:52:21,635] - INFO: Epoch 2087/9999, Iter 104300: Loss = 0.010596145875751972, lr = [6.25e-06] +[2024-05-16 23:52:39,559] - INFO: Epoch 2087/9999, Iter 104320: Loss = 0.01070030964910984, lr = [6.25e-06] +[2024-05-16 23:52:57,604] - INFO: Epoch 2087/9999, Iter 104340: Loss = 0.011127200908958912, lr = [6.25e-06] +[2024-05-16 23:53:16,548] - INFO: Epoch 2088/9999, Iter 104360: Loss = 0.018049392849206924, lr = [6.25e-06] +[2024-05-16 23:53:35,086] - INFO: Epoch 2088/9999, Iter 104380: Loss = 0.0134475938975811, lr = [6.25e-06] +[2024-05-16 23:53:53,969] - INFO: Epoch 2089/9999, Iter 104400: Loss = 0.009037010371685028, lr = [6.25e-06] +[2024-05-16 23:54:12,127] - INFO: Epoch 2089/9999, Iter 104420: Loss = 0.015282134525477886, lr = [6.25e-06] +[2024-05-16 23:54:30,032] - INFO: Epoch 2089/9999, Iter 104440: Loss = 0.0129037294536829, lr = [6.25e-06] +[2024-05-16 23:54:48,720] - INFO: Epoch 2090/9999, Iter 104460: Loss = 0.019314099103212357, lr = [6.25e-06] +[2024-05-16 23:55:06,492] - INFO: Epoch 2090/9999, Iter 104480: Loss = 0.01564474031329155, lr = [6.25e-06] +[2024-05-16 23:55:22,960] - INFO: Evaluate at epoch 2090! +[2024-05-16 23:55:26,701] - INFO: Eval PSNR (max): 37.999 (2070) SSIM (max): 0.9608 (2070) +[2024-05-16 23:55:26,701] - INFO: Eval PSNR (current): 37.989 (2090) SSIM (current): 0.9608 (2090) +[2024-05-16 23:55:26,702] - INFO: Evaluation over. +[2024-05-16 23:55:32,697] - INFO: Epoch 2091/9999, Iter 104500: Loss = 0.016498448327183723, lr = [6.25e-06] +[2024-05-16 23:55:49,518] - INFO: Epoch 2091/9999, Iter 104520: Loss = 0.01008040364831686, lr = [6.25e-06] +[2024-05-16 23:56:07,595] - INFO: Epoch 2091/9999, Iter 104540: Loss = 0.014868656173348427, lr = [6.25e-06] +[2024-05-16 23:56:27,244] - INFO: Epoch 2092/9999, Iter 104560: Loss = 0.012620682828128338, lr = [6.25e-06] +[2024-05-16 23:56:44,442] - INFO: Epoch 2092/9999, Iter 104580: Loss = 0.01128234900534153, lr = [6.25e-06] +[2024-05-16 23:57:03,198] - INFO: Epoch 2093/9999, Iter 104600: Loss = 0.012636055238544941, lr = [6.25e-06] +[2024-05-16 23:57:21,050] - INFO: Epoch 2093/9999, Iter 104620: Loss = 0.014700055122375488, lr = [6.25e-06] +[2024-05-16 23:57:39,040] - INFO: Epoch 2093/9999, Iter 104640: Loss = 0.0131069365888834, lr = [6.25e-06] +[2024-05-16 23:57:57,722] - INFO: Epoch 2094/9999, Iter 104660: Loss = 0.011705052107572556, lr = [6.25e-06] +[2024-05-16 23:58:14,846] - INFO: Epoch 2094/9999, Iter 104680: Loss = 0.01427422184497118, lr = [6.25e-06] +[2024-05-16 23:58:33,899] - INFO: Epoch 2095/9999, Iter 104700: Loss = 0.0073814899660646915, lr = [6.25e-06] +[2024-05-16 23:58:52,426] - INFO: Epoch 2095/9999, Iter 104720: Loss = 0.009513042867183685, lr = [6.25e-06] +[2024-05-16 23:59:09,981] - INFO: Epoch 2095/9999, Iter 104740: Loss = 0.016631007194519043, lr = [6.25e-06] +[2024-05-16 23:59:17,508] - INFO: Evaluate at epoch 2095! +[2024-05-16 23:59:21,150] - INFO: Eval PSNR (max): 37.999 (2070) SSIM (max): 0.9608 (2070) +[2024-05-16 23:59:21,150] - INFO: Eval PSNR (current): 37.995 (2095) SSIM (current): 0.9608 (2095) +[2024-05-16 23:59:21,150] - INFO: Evaluation over. +[2024-05-16 23:59:35,927] - INFO: Epoch 2096/9999, Iter 104760: Loss = 0.011561601422727108, lr = [6.25e-06] +[2024-05-16 23:59:53,158] - INFO: Epoch 2096/9999, Iter 104780: Loss = 0.015056091360747814, lr = [6.25e-06] +[2024-05-17 00:00:12,449] - INFO: Epoch 2097/9999, Iter 104800: Loss = 0.016352690756320953, lr = [6.25e-06] +[2024-05-17 00:00:30,492] - INFO: Epoch 2097/9999, Iter 104820: Loss = 0.010090923868119717, lr = [6.25e-06] +[2024-05-17 00:00:48,264] - INFO: Epoch 2097/9999, Iter 104840: Loss = 0.016098439693450928, lr = [6.25e-06] +[2024-05-17 00:01:08,056] - INFO: Epoch 2098/9999, Iter 104860: Loss = 0.011848275549709797, lr = [6.25e-06] +[2024-05-17 00:01:25,783] - INFO: Epoch 2098/9999, Iter 104880: Loss = 0.01657039299607277, lr = [6.25e-06] +[2024-05-17 00:01:44,584] - INFO: Epoch 2099/9999, Iter 104900: Loss = 0.011100818403065205, lr = [6.25e-06] +[2024-05-17 00:02:02,923] - INFO: Epoch 2099/9999, Iter 104920: Loss = 0.009990816004574299, lr = [6.25e-06] +[2024-05-17 00:02:20,535] - INFO: Epoch 2099/9999, Iter 104940: Loss = 0.01309833861887455, lr = [6.25e-06] +[2024-05-17 00:02:39,615] - INFO: Epoch 2100/9999, Iter 104960: Loss = 0.01502635795623064, lr = [6.25e-06] +[2024-05-17 00:02:57,033] - INFO: Epoch 2100/9999, Iter 104980: Loss = 0.013588190078735352, lr = [6.25e-06] +[2024-05-17 00:03:13,923] - INFO: Evaluate at epoch 2100! +[2024-05-17 00:03:20,901] - INFO: Eval PSNR (max): 37.999 (2100) SSIM (max): 0.9608 (2070) +[2024-05-17 00:03:20,901] - INFO: Eval PSNR (current): 37.999 (2100) SSIM (current): 0.9608 (2100) +[2024-05-17 00:03:20,901] - INFO: Evaluation over. +[2024-05-17 00:03:27,162] - INFO: Epoch 2101/9999, Iter 105000: Loss = 0.012925378046929836, lr = [6.25e-06] +[2024-05-17 00:03:44,212] - INFO: Epoch 2101/9999, Iter 105020: Loss = 0.012653599493205547, lr = [6.25e-06] +[2024-05-17 00:04:01,420] - INFO: Epoch 2101/9999, Iter 105040: Loss = 0.012320470064878464, lr = [6.25e-06] +[2024-05-17 00:04:20,880] - INFO: Epoch 2102/9999, Iter 105060: Loss = 0.013779288157820702, lr = [6.25e-06] +[2024-05-17 00:04:38,863] - INFO: Epoch 2102/9999, Iter 105080: Loss = 0.014068029820919037, lr = [6.25e-06] +[2024-05-17 00:04:58,228] - INFO: Epoch 2103/9999, Iter 105100: Loss = 0.015169601887464523, lr = [6.25e-06] +[2024-05-17 00:05:16,780] - INFO: Epoch 2103/9999, Iter 105120: Loss = 0.012832862325012684, lr = [6.25e-06] +[2024-05-17 00:05:34,897] - INFO: Epoch 2103/9999, Iter 105140: Loss = 0.01448784489184618, lr = [6.25e-06] +[2024-05-17 00:05:54,263] - INFO: Epoch 2104/9999, Iter 105160: Loss = 0.01157716941088438, lr = [6.25e-06] +[2024-05-17 00:06:11,317] - INFO: Epoch 2104/9999, Iter 105180: Loss = 0.009527486748993397, lr = [6.25e-06] +[2024-05-17 00:06:30,277] - INFO: Epoch 2105/9999, Iter 105200: Loss = 0.009642071090638638, lr = [6.25e-06] +[2024-05-17 00:06:47,631] - INFO: Epoch 2105/9999, Iter 105220: Loss = 0.011075382120907307, lr = [6.25e-06] +[2024-05-17 00:07:05,540] - INFO: Epoch 2105/9999, Iter 105240: Loss = 0.010500945150852203, lr = [6.25e-06] +[2024-05-17 00:07:13,558] - INFO: Evaluate at epoch 2105! +[2024-05-17 00:07:17,089] - INFO: Eval PSNR (max): 37.999 (2100) SSIM (max): 0.9608 (2070) +[2024-05-17 00:07:17,089] - INFO: Eval PSNR (current): 37.988 (2105) SSIM (current): 0.9608 (2105) +[2024-05-17 00:07:17,089] - INFO: Evaluation over. +[2024-05-17 00:07:32,538] - INFO: Epoch 2106/9999, Iter 105260: Loss = 0.017250992357730865, lr = [6.25e-06] +[2024-05-17 00:07:50,540] - INFO: Epoch 2106/9999, Iter 105280: Loss = 0.014193707145750523, lr = [6.25e-06] +[2024-05-17 00:08:09,293] - INFO: Epoch 2107/9999, Iter 105300: Loss = 0.007762562483549118, lr = [6.25e-06] +[2024-05-17 00:08:26,319] - INFO: Epoch 2107/9999, Iter 105320: Loss = 0.011904394254088402, lr = [6.25e-06] +[2024-05-17 00:08:43,796] - INFO: Epoch 2107/9999, Iter 105340: Loss = 0.012560222297906876, lr = [6.25e-06] +[2024-05-17 00:09:02,342] - INFO: Epoch 2108/9999, Iter 105360: Loss = 0.018152087926864624, lr = [6.25e-06] +[2024-05-17 00:09:19,836] - INFO: Epoch 2108/9999, Iter 105380: Loss = 0.019292954355478287, lr = [6.25e-06] +[2024-05-17 00:09:38,916] - INFO: Epoch 2109/9999, Iter 105400: Loss = 0.012638445012271404, lr = [6.25e-06] +[2024-05-17 00:09:55,976] - INFO: Epoch 2109/9999, Iter 105420: Loss = 0.01724892668426037, lr = [6.25e-06] +[2024-05-17 00:10:13,801] - INFO: Epoch 2109/9999, Iter 105440: Loss = 0.01084359921514988, lr = [6.25e-06] +[2024-05-17 00:10:32,125] - INFO: Epoch 2110/9999, Iter 105460: Loss = 0.01109921745955944, lr = [6.25e-06] +[2024-05-17 00:10:49,161] - INFO: Epoch 2110/9999, Iter 105480: Loss = 0.014414721168577671, lr = [6.25e-06] +[2024-05-17 00:11:06,242] - INFO: Evaluate at epoch 2110! +[2024-05-17 00:11:09,792] - INFO: Eval PSNR (max): 37.999 (2100) SSIM (max): 0.9608 (2070) +[2024-05-17 00:11:09,793] - INFO: Eval PSNR (current): 37.986 (2110) SSIM (current): 0.9607 (2110) +[2024-05-17 00:11:09,793] - INFO: Evaluation over. +[2024-05-17 00:11:16,036] - INFO: Epoch 2111/9999, Iter 105500: Loss = 0.011696008034050465, lr = [6.25e-06] +[2024-05-17 00:11:34,472] - INFO: Epoch 2111/9999, Iter 105520: Loss = 0.011167493648827076, lr = [6.25e-06] +[2024-05-17 00:11:52,136] - INFO: Epoch 2111/9999, Iter 105540: Loss = 0.0071792080998420715, lr = [6.25e-06] +[2024-05-17 00:12:11,839] - INFO: Epoch 2112/9999, Iter 105560: Loss = 0.010596169158816338, lr = [6.25e-06] +[2024-05-17 00:12:29,804] - INFO: Epoch 2112/9999, Iter 105580: Loss = 0.010355587117373943, lr = [6.25e-06] +[2024-05-17 00:12:48,752] - INFO: Epoch 2113/9999, Iter 105600: Loss = 0.01128307543694973, lr = [6.25e-06] +[2024-05-17 00:13:06,860] - INFO: Epoch 2113/9999, Iter 105620: Loss = 0.01423722691833973, lr = [6.25e-06] +[2024-05-17 00:13:24,851] - INFO: Epoch 2113/9999, Iter 105640: Loss = 0.009396105073392391, lr = [6.25e-06] +[2024-05-17 00:13:43,728] - INFO: Epoch 2114/9999, Iter 105660: Loss = 0.012821005657315254, lr = [6.25e-06] +[2024-05-17 00:14:00,601] - INFO: Epoch 2114/9999, Iter 105680: Loss = 0.011486339382827282, lr = [6.25e-06] +[2024-05-17 00:14:20,120] - INFO: Epoch 2115/9999, Iter 105700: Loss = 0.010267152450978756, lr = [6.25e-06] +[2024-05-17 00:14:38,215] - INFO: Epoch 2115/9999, Iter 105720: Loss = 0.008833024650812149, lr = [6.25e-06] +[2024-05-17 00:14:55,720] - INFO: Epoch 2115/9999, Iter 105740: Loss = 0.008861372247338295, lr = [6.25e-06] +[2024-05-17 00:15:03,729] - INFO: Evaluate at epoch 2115! +[2024-05-17 00:15:07,281] - INFO: Eval PSNR (max): 37.999 (2100) SSIM (max): 0.9608 (2070) +[2024-05-17 00:15:07,281] - INFO: Eval PSNR (current): 37.986 (2115) SSIM (current): 0.9607 (2115) +[2024-05-17 00:15:07,281] - INFO: Evaluation over. +[2024-05-17 00:15:22,765] - INFO: Epoch 2116/9999, Iter 105760: Loss = 0.013734954409301281, lr = [6.25e-06] +[2024-05-17 00:15:40,801] - INFO: Epoch 2116/9999, Iter 105780: Loss = 0.010627060197293758, lr = [6.25e-06] +[2024-05-17 00:15:59,486] - INFO: Epoch 2117/9999, Iter 105800: Loss = 0.015022450126707554, lr = [6.25e-06] +[2024-05-17 00:16:17,463] - INFO: Epoch 2117/9999, Iter 105820: Loss = 0.011336266063153744, lr = [6.25e-06] +[2024-05-17 00:16:35,649] - INFO: Epoch 2117/9999, Iter 105840: Loss = 0.017420072108507156, lr = [6.25e-06] +[2024-05-17 00:16:54,370] - INFO: Epoch 2118/9999, Iter 105860: Loss = 0.015749868005514145, lr = [6.25e-06] +[2024-05-17 00:17:12,360] - INFO: Epoch 2118/9999, Iter 105880: Loss = 0.018420014530420303, lr = [6.25e-06] +[2024-05-17 00:17:31,292] - INFO: Epoch 2119/9999, Iter 105900: Loss = 0.011895917356014252, lr = [6.25e-06] +[2024-05-17 00:17:50,090] - INFO: Epoch 2119/9999, Iter 105920: Loss = 0.011789647862315178, lr = [6.25e-06] +[2024-05-17 00:18:07,634] - INFO: Epoch 2119/9999, Iter 105940: Loss = 0.012908492237329483, lr = [6.25e-06] +[2024-05-17 00:18:26,061] - INFO: Epoch 2120/9999, Iter 105960: Loss = 0.01144742127507925, lr = [6.25e-06] +[2024-05-17 00:18:44,249] - INFO: Epoch 2120/9999, Iter 105980: Loss = 0.010265936143696308, lr = [6.25e-06] +[2024-05-17 00:19:00,707] - INFO: Evaluate at epoch 2120! +[2024-05-17 00:19:04,327] - INFO: Eval PSNR (max): 37.999 (2100) SSIM (max): 0.9608 (2070) +[2024-05-17 00:19:04,327] - INFO: Eval PSNR (current): 37.993 (2120) SSIM (current): 0.9608 (2120) +[2024-05-17 00:19:04,327] - INFO: Evaluation over. +[2024-05-17 00:19:10,776] - INFO: Epoch 2121/9999, Iter 106000: Loss = 0.01589510589838028, lr = [6.25e-06] +[2024-05-17 00:19:27,988] - INFO: Epoch 2121/9999, Iter 106020: Loss = 0.01668451726436615, lr = [6.25e-06] +[2024-05-17 00:19:45,645] - INFO: Epoch 2121/9999, Iter 106040: Loss = 0.01831727847456932, lr = [6.25e-06] +[2024-05-17 00:20:04,335] - INFO: Epoch 2122/9999, Iter 106060: Loss = 0.02490362524986267, lr = [6.25e-06] +[2024-05-17 00:20:22,561] - INFO: Epoch 2122/9999, Iter 106080: Loss = 0.008867887780070305, lr = [6.25e-06] +[2024-05-17 00:20:41,912] - INFO: Epoch 2123/9999, Iter 106100: Loss = 0.01163019984960556, lr = [6.25e-06] +[2024-05-17 00:20:59,604] - INFO: Epoch 2123/9999, Iter 106120: Loss = 0.009246786125004292, lr = [6.25e-06] +[2024-05-17 00:21:17,708] - INFO: Epoch 2123/9999, Iter 106140: Loss = 0.014265269972383976, lr = [6.25e-06] +[2024-05-17 00:21:37,003] - INFO: Epoch 2124/9999, Iter 106160: Loss = 0.01597437635064125, lr = [6.25e-06] +[2024-05-17 00:21:54,148] - INFO: Epoch 2124/9999, Iter 106180: Loss = 0.011651496402919292, lr = [6.25e-06] +[2024-05-17 00:22:13,493] - INFO: Epoch 2125/9999, Iter 106200: Loss = 0.009879647754132748, lr = [6.25e-06] +[2024-05-17 00:22:30,876] - INFO: Epoch 2125/9999, Iter 106220: Loss = 0.018880270421504974, lr = [6.25e-06] +[2024-05-17 00:22:48,032] - INFO: Epoch 2125/9999, Iter 106240: Loss = 0.0097242072224617, lr = [6.25e-06] +[2024-05-17 00:22:55,987] - INFO: Evaluate at epoch 2125! +[2024-05-17 00:22:59,677] - INFO: Eval PSNR (max): 37.999 (2100) SSIM (max): 0.9608 (2070) +[2024-05-17 00:22:59,677] - INFO: Eval PSNR (current): 37.989 (2125) SSIM (current): 0.9608 (2125) +[2024-05-17 00:22:59,678] - INFO: Evaluation over. +[2024-05-17 00:23:14,533] - INFO: Epoch 2126/9999, Iter 106260: Loss = 0.00786967296153307, lr = [6.25e-06] +[2024-05-17 00:23:32,911] - INFO: Epoch 2126/9999, Iter 106280: Loss = 0.009827607311308384, lr = [6.25e-06] +[2024-05-17 00:23:52,207] - INFO: Epoch 2127/9999, Iter 106300: Loss = 0.009954930283129215, lr = [6.25e-06] +[2024-05-17 00:24:09,291] - INFO: Epoch 2127/9999, Iter 106320: Loss = 0.01197529211640358, lr = [6.25e-06] +[2024-05-17 00:24:26,664] - INFO: Epoch 2127/9999, Iter 106340: Loss = 0.014132417738437653, lr = [6.25e-06] +[2024-05-17 00:24:45,916] - INFO: Epoch 2128/9999, Iter 106360: Loss = 0.01275830902159214, lr = [6.25e-06] +[2024-05-17 00:25:04,082] - INFO: Epoch 2128/9999, Iter 106380: Loss = 0.012727214023470879, lr = [6.25e-06] +[2024-05-17 00:25:23,264] - INFO: Epoch 2129/9999, Iter 106400: Loss = 0.013308574445545673, lr = [6.25e-06] +[2024-05-17 00:25:41,333] - INFO: Epoch 2129/9999, Iter 106420: Loss = 0.0102290203794837, lr = [6.25e-06] +[2024-05-17 00:25:59,233] - INFO: Epoch 2129/9999, Iter 106440: Loss = 0.01636010780930519, lr = [6.25e-06] +[2024-05-17 00:26:18,313] - INFO: Epoch 2130/9999, Iter 106460: Loss = 0.012012423947453499, lr = [6.25e-06] +[2024-05-17 00:26:36,667] - INFO: Epoch 2130/9999, Iter 106480: Loss = 0.011465058661997318, lr = [6.25e-06] +[2024-05-17 00:26:52,869] - INFO: Evaluate at epoch 2130! +[2024-05-17 00:26:56,295] - INFO: Eval PSNR (max): 37.999 (2100) SSIM (max): 0.9608 (2070) +[2024-05-17 00:26:56,295] - INFO: Eval PSNR (current): 37.983 (2130) SSIM (current): 0.9608 (2130) +[2024-05-17 00:26:56,295] - INFO: Evaluation over. +[2024-05-17 00:27:02,151] - INFO: Epoch 2131/9999, Iter 106500: Loss = 0.014781554229557514, lr = [6.25e-06] +[2024-05-17 00:27:20,594] - INFO: Epoch 2131/9999, Iter 106520: Loss = 0.012785075232386589, lr = [6.25e-06] +[2024-05-17 00:27:38,640] - INFO: Epoch 2131/9999, Iter 106540: Loss = 0.012045050039887428, lr = [6.25e-06] +[2024-05-17 00:27:56,762] - INFO: Epoch 2132/9999, Iter 106560: Loss = 0.011844669468700886, lr = [6.25e-06] +[2024-05-17 00:28:14,639] - INFO: Epoch 2132/9999, Iter 106580: Loss = 0.01575436256825924, lr = [6.25e-06] +[2024-05-17 00:28:33,574] - INFO: Epoch 2133/9999, Iter 106600: Loss = 0.009578698314726353, lr = [6.25e-06] +[2024-05-17 00:28:51,761] - INFO: Epoch 2133/9999, Iter 106620: Loss = 0.010720030404627323, lr = [6.25e-06] +[2024-05-17 00:29:09,857] - INFO: Epoch 2133/9999, Iter 106640: Loss = 0.010492952540516853, lr = [6.25e-06] +[2024-05-17 00:29:28,335] - INFO: Epoch 2134/9999, Iter 106660: Loss = 0.012340309098362923, lr = [6.25e-06] +[2024-05-17 00:29:45,821] - INFO: Epoch 2134/9999, Iter 106680: Loss = 0.012572987005114555, lr = [6.25e-06] +[2024-05-17 00:30:04,828] - INFO: Epoch 2135/9999, Iter 106700: Loss = 0.012477343901991844, lr = [6.25e-06] +[2024-05-17 00:30:22,380] - INFO: Epoch 2135/9999, Iter 106720: Loss = 0.012727824971079826, lr = [6.25e-06] +[2024-05-17 00:30:39,649] - INFO: Epoch 2135/9999, Iter 106740: Loss = 0.011476278305053711, lr = [6.25e-06] +[2024-05-17 00:30:47,577] - INFO: Evaluate at epoch 2135! +[2024-05-17 00:30:51,022] - INFO: Eval PSNR (max): 37.999 (2100) SSIM (max): 0.9608 (2070) +[2024-05-17 00:30:51,022] - INFO: Eval PSNR (current): 37.991 (2135) SSIM (current): 0.9608 (2135) +[2024-05-17 00:30:51,022] - INFO: Evaluation over. +[2024-05-17 00:31:06,141] - INFO: Epoch 2136/9999, Iter 106760: Loss = 0.007871969603002071, lr = [6.25e-06] +[2024-05-17 00:31:24,275] - INFO: Epoch 2136/9999, Iter 106780: Loss = 0.019147833809256554, lr = [6.25e-06] +[2024-05-17 00:31:45,368] - INFO: Epoch 2137/9999, Iter 106800: Loss = 0.009484485723078251, lr = [6.25e-06] +[2024-05-17 00:32:02,807] - INFO: Epoch 2137/9999, Iter 106820: Loss = 0.012348653748631477, lr = [6.25e-06] +[2024-05-17 00:32:20,488] - INFO: Epoch 2137/9999, Iter 106840: Loss = 0.013025198131799698, lr = [6.25e-06] +[2024-05-17 00:32:39,244] - INFO: Epoch 2138/9999, Iter 106860: Loss = 0.008634672500193119, lr = [6.25e-06] +[2024-05-17 00:32:57,223] - INFO: Epoch 2138/9999, Iter 106880: Loss = 0.014391879551112652, lr = [6.25e-06] +[2024-05-17 00:33:16,144] - INFO: Epoch 2139/9999, Iter 106900: Loss = 0.01031709648668766, lr = [6.25e-06] +[2024-05-17 00:33:34,147] - INFO: Epoch 2139/9999, Iter 106920: Loss = 0.009344527497887611, lr = [6.25e-06] +[2024-05-17 00:33:52,225] - INFO: Epoch 2139/9999, Iter 106940: Loss = 0.01256629265844822, lr = [6.25e-06] +[2024-05-17 00:34:10,544] - INFO: Epoch 2140/9999, Iter 106960: Loss = 0.018284941092133522, lr = [6.25e-06] +[2024-05-17 00:34:28,346] - INFO: Epoch 2140/9999, Iter 106980: Loss = 0.01696975901722908, lr = [6.25e-06] +[2024-05-17 00:34:44,764] - INFO: Evaluate at epoch 2140! +[2024-05-17 00:34:48,397] - INFO: Eval PSNR (max): 37.999 (2100) SSIM (max): 0.9608 (2070) +[2024-05-17 00:34:48,397] - INFO: Eval PSNR (current): 37.989 (2140) SSIM (current): 0.9607 (2140) +[2024-05-17 00:34:48,397] - INFO: Evaluation over. +[2024-05-17 00:34:54,415] - INFO: Epoch 2141/9999, Iter 107000: Loss = 0.014640508219599724, lr = [6.25e-06] +[2024-05-17 00:35:11,884] - INFO: Epoch 2141/9999, Iter 107020: Loss = 0.009524423629045486, lr = [6.25e-06] +[2024-05-17 00:35:29,474] - INFO: Epoch 2141/9999, Iter 107040: Loss = 0.01308450661599636, lr = [6.25e-06] +[2024-05-17 00:35:48,305] - INFO: Epoch 2142/9999, Iter 107060: Loss = 0.011043651960790157, lr = [6.25e-06] +[2024-05-17 00:36:06,260] - INFO: Epoch 2142/9999, Iter 107080: Loss = 0.009108989499509335, lr = [6.25e-06] +[2024-05-17 00:36:25,408] - INFO: Epoch 2143/9999, Iter 107100: Loss = 0.0076453653164207935, lr = [6.25e-06] +[2024-05-17 00:36:42,829] - INFO: Epoch 2143/9999, Iter 107120: Loss = 0.013072044588625431, lr = [6.25e-06] +[2024-05-17 00:37:00,404] - INFO: Epoch 2143/9999, Iter 107140: Loss = 0.010416269302368164, lr = [6.25e-06] +[2024-05-17 00:37:19,341] - INFO: Epoch 2144/9999, Iter 107160: Loss = 0.014174656942486763, lr = [6.25e-06] +[2024-05-17 00:37:37,120] - INFO: Epoch 2144/9999, Iter 107180: Loss = 0.014253894798457623, lr = [6.25e-06] +[2024-05-17 00:37:56,380] - INFO: Epoch 2145/9999, Iter 107200: Loss = 0.017256813123822212, lr = [6.25e-06] +[2024-05-17 00:38:13,716] - INFO: Epoch 2145/9999, Iter 107220: Loss = 0.014792424626648426, lr = [6.25e-06] +[2024-05-17 00:38:31,878] - INFO: Epoch 2145/9999, Iter 107240: Loss = 0.015046283602714539, lr = [6.25e-06] +[2024-05-17 00:38:39,629] - INFO: Evaluate at epoch 2145! +[2024-05-17 00:38:43,379] - INFO: Eval PSNR (max): 37.999 (2100) SSIM (max): 0.9608 (2070) +[2024-05-17 00:38:43,379] - INFO: Eval PSNR (current): 37.986 (2145) SSIM (current): 0.9608 (2145) +[2024-05-17 00:38:43,379] - INFO: Evaluation over. +[2024-05-17 00:38:58,312] - INFO: Epoch 2146/9999, Iter 107260: Loss = 0.015070348978042603, lr = [6.25e-06] +[2024-05-17 00:39:15,944] - INFO: Epoch 2146/9999, Iter 107280: Loss = 0.01555743720382452, lr = [6.25e-06] +[2024-05-17 00:39:34,536] - INFO: Epoch 2147/9999, Iter 107300: Loss = 0.01531955972313881, lr = [6.25e-06] +[2024-05-17 00:39:51,712] - INFO: Epoch 2147/9999, Iter 107320: Loss = 0.01300114206969738, lr = [6.25e-06] +[2024-05-17 00:40:09,138] - INFO: Epoch 2147/9999, Iter 107340: Loss = 0.015418398194015026, lr = [6.25e-06] +[2024-05-17 00:40:27,378] - INFO: Epoch 2148/9999, Iter 107360: Loss = 0.017849145457148552, lr = [6.25e-06] +[2024-05-17 00:40:45,193] - INFO: Epoch 2148/9999, Iter 107380: Loss = 0.012025252915918827, lr = [6.25e-06] +[2024-05-17 00:41:04,148] - INFO: Epoch 2149/9999, Iter 107400: Loss = 0.007428956683725119, lr = [6.25e-06] +[2024-05-17 00:41:21,720] - INFO: Epoch 2149/9999, Iter 107420: Loss = 0.009983116760849953, lr = [6.25e-06] +[2024-05-17 00:41:38,544] - INFO: Epoch 2149/9999, Iter 107440: Loss = 0.011777904815971851, lr = [6.25e-06] +[2024-05-17 00:41:57,367] - INFO: Epoch 2150/9999, Iter 107460: Loss = 0.012085978873074055, lr = [6.25e-06] +[2024-05-17 00:42:14,338] - INFO: Epoch 2150/9999, Iter 107480: Loss = 0.01580817997455597, lr = [6.25e-06] +[2024-05-17 00:42:30,981] - INFO: Evaluate at epoch 2150! +[2024-05-17 00:42:38,671] - INFO: Eval PSNR (max): 37.999 (2100) SSIM (max): 0.9608 (2150) +[2024-05-17 00:42:38,672] - INFO: Eval PSNR (current): 37.995 (2150) SSIM (current): 0.9608 (2150) +[2024-05-17 00:42:38,672] - INFO: Evaluation over. +[2024-05-17 00:42:44,608] - INFO: Epoch 2151/9999, Iter 107500: Loss = 0.01109001599252224, lr = [6.25e-06] +[2024-05-17 00:43:02,153] - INFO: Epoch 2151/9999, Iter 107520: Loss = 0.011114017106592655, lr = [6.25e-06] +[2024-05-17 00:43:20,041] - INFO: Epoch 2151/9999, Iter 107540: Loss = 0.011205373331904411, lr = [6.25e-06] +[2024-05-17 00:43:39,353] - INFO: Epoch 2152/9999, Iter 107560: Loss = 0.013548731803894043, lr = [6.25e-06] +[2024-05-17 00:43:57,305] - INFO: Epoch 2152/9999, Iter 107580: Loss = 0.008196626789867878, lr = [6.25e-06] +[2024-05-17 00:44:15,952] - INFO: Epoch 2153/9999, Iter 107600: Loss = 0.011989042162895203, lr = [6.25e-06] +[2024-05-17 00:44:32,875] - INFO: Epoch 2153/9999, Iter 107620: Loss = 0.01060065533965826, lr = [6.25e-06] +[2024-05-17 00:44:50,425] - INFO: Epoch 2153/9999, Iter 107640: Loss = 0.017609432339668274, lr = [6.25e-06] +[2024-05-17 00:45:09,111] - INFO: Epoch 2154/9999, Iter 107660: Loss = 0.0112238097935915, lr = [6.25e-06] +[2024-05-17 00:45:26,592] - INFO: Epoch 2154/9999, Iter 107680: Loss = 0.012804250232875347, lr = [6.25e-06] +[2024-05-17 00:45:46,235] - INFO: Epoch 2155/9999, Iter 107700: Loss = 0.01490465272217989, lr = [6.25e-06] +[2024-05-17 00:46:02,784] - INFO: Epoch 2155/9999, Iter 107720: Loss = 0.01048532035201788, lr = [6.25e-06] +[2024-05-17 00:46:20,378] - INFO: Epoch 2155/9999, Iter 107740: Loss = 0.01626140996813774, lr = [6.25e-06] +[2024-05-17 00:46:28,501] - INFO: Evaluate at epoch 2155! +[2024-05-17 00:46:32,002] - INFO: Eval PSNR (max): 37.999 (2100) SSIM (max): 0.9608 (2150) +[2024-05-17 00:46:32,003] - INFO: Eval PSNR (current): 37.996 (2155) SSIM (current): 0.9608 (2155) +[2024-05-17 00:46:32,003] - INFO: Evaluation over. +[2024-05-17 00:46:46,599] - INFO: Epoch 2156/9999, Iter 107760: Loss = 0.012091386131942272, lr = [6.25e-06] +[2024-05-17 00:47:03,632] - INFO: Epoch 2156/9999, Iter 107780: Loss = 0.010400217957794666, lr = [6.25e-06] +[2024-05-17 00:47:23,047] - INFO: Epoch 2157/9999, Iter 107800: Loss = 0.013299879617989063, lr = [6.25e-06] +[2024-05-17 00:47:40,787] - INFO: Epoch 2157/9999, Iter 107820: Loss = 0.010599709115922451, lr = [6.25e-06] +[2024-05-17 00:47:58,379] - INFO: Epoch 2157/9999, Iter 107840: Loss = 0.009716502390801907, lr = [6.25e-06] +[2024-05-17 00:48:17,838] - INFO: Epoch 2158/9999, Iter 107860: Loss = 0.01509024016559124, lr = [6.25e-06] +[2024-05-17 00:48:35,806] - INFO: Epoch 2158/9999, Iter 107880: Loss = 0.01351961586624384, lr = [6.25e-06] +[2024-05-17 00:48:54,877] - INFO: Epoch 2159/9999, Iter 107900: Loss = 0.010847417637705803, lr = [6.25e-06] +[2024-05-17 00:49:13,109] - INFO: Epoch 2159/9999, Iter 107920: Loss = 0.010093452408909798, lr = [6.25e-06] +[2024-05-17 00:49:30,540] - INFO: Epoch 2159/9999, Iter 107940: Loss = 0.018514033406972885, lr = [6.25e-06] +[2024-05-17 00:49:48,912] - INFO: Epoch 2160/9999, Iter 107960: Loss = 0.009806428104639053, lr = [6.25e-06] +[2024-05-17 00:50:06,960] - INFO: Epoch 2160/9999, Iter 107980: Loss = 0.010523228906095028, lr = [6.25e-06] +[2024-05-17 00:50:23,587] - INFO: Evaluate at epoch 2160! +[2024-05-17 00:50:27,046] - INFO: Eval PSNR (max): 37.999 (2100) SSIM (max): 0.9608 (2150) +[2024-05-17 00:50:27,046] - INFO: Eval PSNR (current): 37.990 (2160) SSIM (current): 0.9608 (2160) +[2024-05-17 00:50:27,046] - INFO: Evaluation over. +[2024-05-17 00:50:33,300] - INFO: Epoch 2161/9999, Iter 108000: Loss = 0.019908471032977104, lr = [6.25e-06] +[2024-05-17 00:50:50,904] - INFO: Epoch 2161/9999, Iter 108020: Loss = 0.012290875427424908, lr = [6.25e-06] +[2024-05-17 00:51:09,115] - INFO: Epoch 2161/9999, Iter 108040: Loss = 0.012243629433214664, lr = [6.25e-06] +[2024-05-17 00:51:28,633] - INFO: Epoch 2162/9999, Iter 108060: Loss = 0.01694752648472786, lr = [6.25e-06] +[2024-05-17 00:51:46,184] - INFO: Epoch 2162/9999, Iter 108080: Loss = 0.012836146168410778, lr = [6.25e-06] +[2024-05-17 00:52:05,460] - INFO: Epoch 2163/9999, Iter 108100: Loss = 0.012371491640806198, lr = [6.25e-06] +[2024-05-17 00:52:22,552] - INFO: Epoch 2163/9999, Iter 108120: Loss = 0.012052075006067753, lr = [6.25e-06] +[2024-05-17 00:52:40,582] - INFO: Epoch 2163/9999, Iter 108140: Loss = 0.01263835933059454, lr = [6.25e-06] +[2024-05-17 00:52:59,263] - INFO: Epoch 2164/9999, Iter 108160: Loss = 0.015958357602357864, lr = [6.25e-06] +[2024-05-17 00:53:16,476] - INFO: Epoch 2164/9999, Iter 108180: Loss = 0.0077907368540763855, lr = [6.25e-06] +[2024-05-17 00:53:35,435] - INFO: Epoch 2165/9999, Iter 108200: Loss = 0.010450402274727821, lr = [6.25e-06] +[2024-05-17 00:53:52,752] - INFO: Epoch 2165/9999, Iter 108220: Loss = 0.014107256196439266, lr = [6.25e-06] +[2024-05-17 00:54:10,340] - INFO: Epoch 2165/9999, Iter 108240: Loss = 0.009583240374922752, lr = [6.25e-06] +[2024-05-17 00:54:18,116] - INFO: Evaluate at epoch 2165! +[2024-05-17 00:54:21,637] - INFO: Eval PSNR (max): 37.999 (2100) SSIM (max): 0.9608 (2150) +[2024-05-17 00:54:21,637] - INFO: Eval PSNR (current): 37.995 (2165) SSIM (current): 0.9608 (2165) +[2024-05-17 00:54:21,638] - INFO: Evaluation over. +[2024-05-17 00:54:35,944] - INFO: Epoch 2166/9999, Iter 108260: Loss = 0.016927523538470268, lr = [6.25e-06] +[2024-05-17 00:54:53,184] - INFO: Epoch 2166/9999, Iter 108280: Loss = 0.011388946324586868, lr = [6.25e-06] +[2024-05-17 00:55:12,992] - INFO: Epoch 2167/9999, Iter 108300: Loss = 0.012834735214710236, lr = [6.25e-06] +[2024-05-17 00:55:30,572] - INFO: Epoch 2167/9999, Iter 108320: Loss = 0.009408391080796719, lr = [6.25e-06] +[2024-05-17 00:55:48,569] - INFO: Epoch 2167/9999, Iter 108340: Loss = 0.012157989665865898, lr = [6.25e-06] +[2024-05-17 00:56:08,459] - INFO: Epoch 2168/9999, Iter 108360: Loss = 0.010434967465698719, lr = [6.25e-06] +[2024-05-17 00:56:26,472] - INFO: Epoch 2168/9999, Iter 108380: Loss = 0.011740567162632942, lr = [6.25e-06] +[2024-05-17 00:56:45,608] - INFO: Epoch 2169/9999, Iter 108400: Loss = 0.009826075285673141, lr = [6.25e-06] +[2024-05-17 00:57:02,685] - INFO: Epoch 2169/9999, Iter 108420: Loss = 0.016882359981536865, lr = [6.25e-06] +[2024-05-17 00:57:20,392] - INFO: Epoch 2169/9999, Iter 108440: Loss = 0.013680828735232353, lr = [6.25e-06] +[2024-05-17 00:57:39,655] - INFO: Epoch 2170/9999, Iter 108460: Loss = 0.010992007330060005, lr = [6.25e-06] +[2024-05-17 00:57:56,945] - INFO: Epoch 2170/9999, Iter 108480: Loss = 0.015950795263051987, lr = [6.25e-06] +[2024-05-17 00:58:13,698] - INFO: Evaluate at epoch 2170! +[2024-05-17 00:58:20,888] - INFO: Eval PSNR (max): 37.999 (2100) SSIM (max): 0.9608 (2170) +[2024-05-17 00:58:20,889] - INFO: Eval PSNR (current): 37.995 (2170) SSIM (current): 0.9608 (2170) +[2024-05-17 00:58:20,889] - INFO: Evaluation over. +[2024-05-17 00:58:26,663] - INFO: Epoch 2171/9999, Iter 108500: Loss = 0.016421187669038773, lr = [6.25e-06] +[2024-05-17 00:58:44,827] - INFO: Epoch 2171/9999, Iter 108520: Loss = 0.009598926641047001, lr = [6.25e-06] +[2024-05-17 00:59:03,004] - INFO: Epoch 2171/9999, Iter 108540: Loss = 0.021725645288825035, lr = [6.25e-06] +[2024-05-17 00:59:21,864] - INFO: Epoch 2172/9999, Iter 108560: Loss = 0.006231868173927069, lr = [6.25e-06] +[2024-05-17 00:59:38,858] - INFO: Epoch 2172/9999, Iter 108580: Loss = 0.013027495704591274, lr = [6.25e-06] +[2024-05-17 00:59:58,437] - INFO: Epoch 2173/9999, Iter 108600: Loss = 0.009377109818160534, lr = [6.25e-06] +[2024-05-17 01:00:15,484] - INFO: Epoch 2173/9999, Iter 108620: Loss = 0.007524165790528059, lr = [6.25e-06] +[2024-05-17 01:00:33,125] - INFO: Epoch 2173/9999, Iter 108640: Loss = 0.011771953664720058, lr = [6.25e-06] +[2024-05-17 01:00:52,590] - INFO: Epoch 2174/9999, Iter 108660: Loss = 0.015073388814926147, lr = [6.25e-06] +[2024-05-17 01:01:10,052] - INFO: Epoch 2174/9999, Iter 108680: Loss = 0.016475779935717583, lr = [6.25e-06] +[2024-05-17 01:01:29,025] - INFO: Epoch 2175/9999, Iter 108700: Loss = 0.011578396894037724, lr = [6.25e-06] +[2024-05-17 01:01:47,001] - INFO: Epoch 2175/9999, Iter 108720: Loss = 0.010804038494825363, lr = [6.25e-06] +[2024-05-17 01:02:04,980] - INFO: Epoch 2175/9999, Iter 108740: Loss = 0.010851151309907436, lr = [6.25e-06] +[2024-05-17 01:02:12,745] - INFO: Evaluate at epoch 2175! +[2024-05-17 01:02:16,301] - INFO: Eval PSNR (max): 37.999 (2100) SSIM (max): 0.9608 (2170) +[2024-05-17 01:02:16,302] - INFO: Eval PSNR (current): 37.987 (2175) SSIM (current): 0.9608 (2175) +[2024-05-17 01:02:16,302] - INFO: Evaluation over. +[2024-05-17 01:02:31,586] - INFO: Epoch 2176/9999, Iter 108760: Loss = 0.013458271510899067, lr = [6.25e-06] +[2024-05-17 01:02:49,006] - INFO: Epoch 2176/9999, Iter 108780: Loss = 0.018143603578209877, lr = [6.25e-06] +[2024-05-17 01:03:08,316] - INFO: Epoch 2177/9999, Iter 108800: Loss = 0.011755735613405704, lr = [6.25e-06] +[2024-05-17 01:03:26,856] - INFO: Epoch 2177/9999, Iter 108820: Loss = 0.012475389055907726, lr = [6.25e-06] +[2024-05-17 01:03:44,447] - INFO: Epoch 2177/9999, Iter 108840: Loss = 0.01635669358074665, lr = [6.25e-06] +[2024-05-17 01:04:03,139] - INFO: Epoch 2178/9999, Iter 108860: Loss = 0.01198829896748066, lr = [6.25e-06] +[2024-05-17 01:04:20,179] - INFO: Epoch 2178/9999, Iter 108880: Loss = 0.01160529162734747, lr = [6.25e-06] +[2024-05-17 01:04:39,636] - INFO: Epoch 2179/9999, Iter 108900: Loss = 0.01185380108654499, lr = [6.25e-06] +[2024-05-17 01:04:57,691] - INFO: Epoch 2179/9999, Iter 108920: Loss = 0.011028866283595562, lr = [6.25e-06] +[2024-05-17 01:05:15,636] - INFO: Epoch 2179/9999, Iter 108940: Loss = 0.013096396811306477, lr = [6.25e-06] +[2024-05-17 01:05:34,630] - INFO: Epoch 2180/9999, Iter 108960: Loss = 0.006872075144201517, lr = [6.25e-06] +[2024-05-17 01:05:52,864] - INFO: Epoch 2180/9999, Iter 108980: Loss = 0.011941418051719666, lr = [6.25e-06] +[2024-05-17 01:06:09,266] - INFO: Evaluate at epoch 2180! +[2024-05-17 01:06:12,834] - INFO: Eval PSNR (max): 37.999 (2100) SSIM (max): 0.9608 (2170) +[2024-05-17 01:06:12,834] - INFO: Eval PSNR (current): 37.993 (2180) SSIM (current): 0.9608 (2180) +[2024-05-17 01:06:12,834] - INFO: Evaluation over. +[2024-05-17 01:06:18,807] - INFO: Epoch 2181/9999, Iter 109000: Loss = 0.008764946833252907, lr = [6.25e-06] +[2024-05-17 01:06:36,042] - INFO: Epoch 2181/9999, Iter 109020: Loss = 0.007989580743014812, lr = [6.25e-06] +[2024-05-17 01:06:54,398] - INFO: Epoch 2181/9999, Iter 109040: Loss = 0.019169453531503677, lr = [6.25e-06] +[2024-05-17 01:07:12,988] - INFO: Epoch 2182/9999, Iter 109060: Loss = 0.013913750648498535, lr = [6.25e-06] +[2024-05-17 01:07:30,620] - INFO: Epoch 2182/9999, Iter 109080: Loss = 0.011780742555856705, lr = [6.25e-06] +[2024-05-17 01:07:49,860] - INFO: Epoch 2183/9999, Iter 109100: Loss = 0.019705357030034065, lr = [6.25e-06] +[2024-05-17 01:08:07,638] - INFO: Epoch 2183/9999, Iter 109120: Loss = 0.007932928390800953, lr = [6.25e-06] +[2024-05-17 01:08:25,011] - INFO: Epoch 2183/9999, Iter 109140: Loss = 0.009127640165388584, lr = [6.25e-06] +[2024-05-17 01:08:43,980] - INFO: Epoch 2184/9999, Iter 109160: Loss = 0.013944745995104313, lr = [6.25e-06] +[2024-05-17 01:09:01,295] - INFO: Epoch 2184/9999, Iter 109180: Loss = 0.010653573088347912, lr = [6.25e-06] +[2024-05-17 01:09:20,212] - INFO: Epoch 2185/9999, Iter 109200: Loss = 0.009937931783497334, lr = [6.25e-06] +[2024-05-17 01:09:37,287] - INFO: Epoch 2185/9999, Iter 109220: Loss = 0.021894486621022224, lr = [6.25e-06] +[2024-05-17 01:09:55,546] - INFO: Epoch 2185/9999, Iter 109240: Loss = 0.008559868671000004, lr = [6.25e-06] +[2024-05-17 01:10:03,136] - INFO: Evaluate at epoch 2185! +[2024-05-17 01:10:06,590] - INFO: Eval PSNR (max): 37.999 (2100) SSIM (max): 0.9608 (2170) +[2024-05-17 01:10:06,590] - INFO: Eval PSNR (current): 37.986 (2185) SSIM (current): 0.9608 (2185) +[2024-05-17 01:10:06,590] - INFO: Evaluation over. +[2024-05-17 01:10:21,611] - INFO: Epoch 2186/9999, Iter 109260: Loss = 0.012312491424381733, lr = [6.25e-06] +[2024-05-17 01:10:39,607] - INFO: Epoch 2186/9999, Iter 109280: Loss = 0.01950221322476864, lr = [6.25e-06] +[2024-05-17 01:10:58,653] - INFO: Epoch 2187/9999, Iter 109300: Loss = 0.014460217207670212, lr = [6.25e-06] +[2024-05-17 01:11:15,672] - INFO: Epoch 2187/9999, Iter 109320: Loss = 0.01310823392122984, lr = [6.25e-06] +[2024-05-17 01:11:33,774] - INFO: Epoch 2187/9999, Iter 109340: Loss = 0.00921387504786253, lr = [6.25e-06] +[2024-05-17 01:11:52,615] - INFO: Epoch 2188/9999, Iter 109360: Loss = 0.01426036935299635, lr = [6.25e-06] +[2024-05-17 01:12:10,508] - INFO: Epoch 2188/9999, Iter 109380: Loss = 0.018664071336388588, lr = [6.25e-06] +[2024-05-17 01:12:29,384] - INFO: Epoch 2189/9999, Iter 109400: Loss = 0.00491701764985919, lr = [6.25e-06] +[2024-05-17 01:12:47,087] - INFO: Epoch 2189/9999, Iter 109420: Loss = 0.009770636446774006, lr = [6.25e-06] +[2024-05-17 01:13:05,238] - INFO: Epoch 2189/9999, Iter 109440: Loss = 0.015561538748443127, lr = [6.25e-06] +[2024-05-17 01:13:24,031] - INFO: Epoch 2190/9999, Iter 109460: Loss = 0.011114630848169327, lr = [6.25e-06] +[2024-05-17 01:13:41,800] - INFO: Epoch 2190/9999, Iter 109480: Loss = 0.011489120312035084, lr = [6.25e-06] +[2024-05-17 01:13:58,369] - INFO: Evaluate at epoch 2190! +[2024-05-17 01:14:01,817] - INFO: Eval PSNR (max): 37.999 (2100) SSIM (max): 0.9608 (2170) +[2024-05-17 01:14:01,817] - INFO: Eval PSNR (current): 37.991 (2190) SSIM (current): 0.9608 (2190) +[2024-05-17 01:14:01,817] - INFO: Evaluation over. +[2024-05-17 01:14:07,944] - INFO: Epoch 2191/9999, Iter 109500: Loss = 0.013936538249254227, lr = [6.25e-06] +[2024-05-17 01:14:26,195] - INFO: Epoch 2191/9999, Iter 109520: Loss = 0.012483949773013592, lr = [6.25e-06] +[2024-05-17 01:14:43,532] - INFO: Epoch 2191/9999, Iter 109540: Loss = 0.01734481193125248, lr = [6.25e-06] +[2024-05-17 01:15:02,664] - INFO: Epoch 2192/9999, Iter 109560: Loss = 0.010302788577973843, lr = [6.25e-06] +[2024-05-17 01:15:20,603] - INFO: Epoch 2192/9999, Iter 109580: Loss = 0.009162652306258678, lr = [6.25e-06] +[2024-05-17 01:15:39,713] - INFO: Epoch 2193/9999, Iter 109600: Loss = 0.020648719742894173, lr = [6.25e-06] +[2024-05-17 01:15:57,492] - INFO: Epoch 2193/9999, Iter 109620: Loss = 0.017396943643689156, lr = [6.25e-06] +[2024-05-17 01:16:15,810] - INFO: Epoch 2193/9999, Iter 109640: Loss = 0.010780037380754948, lr = [6.25e-06] +[2024-05-17 01:16:34,383] - INFO: Epoch 2194/9999, Iter 109660: Loss = 0.011238329112529755, lr = [6.25e-06] +[2024-05-17 01:16:51,884] - INFO: Epoch 2194/9999, Iter 109680: Loss = 0.016636865213513374, lr = [6.25e-06] +[2024-05-17 01:17:10,699] - INFO: Epoch 2195/9999, Iter 109700: Loss = 0.009378479793667793, lr = [6.25e-06] +[2024-05-17 01:17:28,313] - INFO: Epoch 2195/9999, Iter 109720: Loss = 0.013044023886322975, lr = [6.25e-06] +[2024-05-17 01:17:46,144] - INFO: Epoch 2195/9999, Iter 109740: Loss = 0.010187436826527119, lr = [6.25e-06] +[2024-05-17 01:17:53,903] - INFO: Evaluate at epoch 2195! +[2024-05-17 01:17:57,623] - INFO: Eval PSNR (max): 37.999 (2100) SSIM (max): 0.9608 (2170) +[2024-05-17 01:17:57,623] - INFO: Eval PSNR (current): 37.991 (2195) SSIM (current): 0.9608 (2195) +[2024-05-17 01:17:57,624] - INFO: Evaluation over. +[2024-05-17 01:18:12,288] - INFO: Epoch 2196/9999, Iter 109760: Loss = 0.0146934874355793, lr = [6.25e-06] +[2024-05-17 01:18:29,069] - INFO: Epoch 2196/9999, Iter 109780: Loss = 0.010357075370848179, lr = [6.25e-06] +[2024-05-17 01:18:48,348] - INFO: Epoch 2197/9999, Iter 109800: Loss = 0.01844099536538124, lr = [6.25e-06] +[2024-05-17 01:19:05,764] - INFO: Epoch 2197/9999, Iter 109820: Loss = 0.01244022324681282, lr = [6.25e-06] +[2024-05-17 01:19:24,140] - INFO: Epoch 2197/9999, Iter 109840: Loss = 0.01224010344594717, lr = [6.25e-06] +[2024-05-17 01:19:43,084] - INFO: Epoch 2198/9999, Iter 109860: Loss = 0.017740879207849503, lr = [6.25e-06] +[2024-05-17 01:20:00,605] - INFO: Epoch 2198/9999, Iter 109880: Loss = 0.01388697512447834, lr = [6.25e-06] +[2024-05-17 01:20:20,015] - INFO: Epoch 2199/9999, Iter 109900: Loss = 0.020850835368037224, lr = [6.25e-06] +[2024-05-17 01:20:37,860] - INFO: Epoch 2199/9999, Iter 109920: Loss = 0.017213676124811172, lr = [6.25e-06] +[2024-05-17 01:20:55,964] - INFO: Epoch 2199/9999, Iter 109940: Loss = 0.007684602402150631, lr = [6.25e-06] +[2024-05-17 01:21:14,966] - INFO: Epoch 2200/9999, Iter 109960: Loss = 0.008909768424928188, lr = [6.25e-06] +[2024-05-17 01:21:32,575] - INFO: Epoch 2200/9999, Iter 109980: Loss = 0.012195282615721226, lr = [6.25e-06] +[2024-05-17 01:21:48,949] - INFO: Evaluate at epoch 2200! +[2024-05-17 01:21:52,433] - INFO: Eval PSNR (max): 37.999 (2100) SSIM (max): 0.9608 (2170) +[2024-05-17 01:21:52,433] - INFO: Eval PSNR (current): 37.974 (2200) SSIM (current): 0.9607 (2200) +[2024-05-17 01:21:52,433] - INFO: Evaluation over. +[2024-05-17 01:21:58,292] - INFO: Epoch 2201/9999, Iter 110000: Loss = 0.01975453831255436, lr = [6.25e-06] +[2024-05-17 01:22:15,875] - INFO: Epoch 2201/9999, Iter 110020: Loss = 0.011160164140164852, lr = [6.25e-06] +[2024-05-17 01:22:33,628] - INFO: Epoch 2201/9999, Iter 110040: Loss = 0.015579278580844402, lr = [6.25e-06] +[2024-05-17 01:22:52,779] - INFO: Epoch 2202/9999, Iter 110060: Loss = 0.011800753884017467, lr = [6.25e-06] +[2024-05-17 01:23:10,627] - INFO: Epoch 2202/9999, Iter 110080: Loss = 0.012614978477358818, lr = [6.25e-06] +[2024-05-17 01:23:29,309] - INFO: Epoch 2203/9999, Iter 110100: Loss = 0.009705944918096066, lr = [6.25e-06] +[2024-05-17 01:23:47,075] - INFO: Epoch 2203/9999, Iter 110120: Loss = 0.009511168114840984, lr = [6.25e-06] +[2024-05-17 01:24:05,661] - INFO: Epoch 2203/9999, Iter 110140: Loss = 0.019508671015501022, lr = [6.25e-06] +[2024-05-17 01:24:24,568] - INFO: Epoch 2204/9999, Iter 110160: Loss = 0.01417588721960783, lr = [6.25e-06] +[2024-05-17 01:24:41,818] - INFO: Epoch 2204/9999, Iter 110180: Loss = 0.01271851547062397, lr = [6.25e-06] +[2024-05-17 01:25:00,656] - INFO: Epoch 2205/9999, Iter 110200: Loss = 0.012919931672513485, lr = [6.25e-06] +[2024-05-17 01:25:18,540] - INFO: Epoch 2205/9999, Iter 110220: Loss = 0.010647760704159737, lr = [6.25e-06] +[2024-05-17 01:25:36,242] - INFO: Epoch 2205/9999, Iter 110240: Loss = 0.007918428629636765, lr = [6.25e-06] +[2024-05-17 01:25:43,749] - INFO: Evaluate at epoch 2205! +[2024-05-17 01:25:47,202] - INFO: Eval PSNR (max): 37.999 (2100) SSIM (max): 0.9608 (2170) +[2024-05-17 01:25:47,202] - INFO: Eval PSNR (current): 37.990 (2205) SSIM (current): 0.9608 (2205) +[2024-05-17 01:25:47,202] - INFO: Evaluation over. +[2024-05-17 01:26:02,001] - INFO: Epoch 2206/9999, Iter 110260: Loss = 0.01605311408638954, lr = [6.25e-06] +[2024-05-17 01:26:19,360] - INFO: Epoch 2206/9999, Iter 110280: Loss = 0.012155489064753056, lr = [6.25e-06] +[2024-05-17 01:26:38,488] - INFO: Epoch 2207/9999, Iter 110300: Loss = 0.02364705689251423, lr = [6.25e-06] +[2024-05-17 01:26:55,851] - INFO: Epoch 2207/9999, Iter 110320: Loss = 0.012621407397091389, lr = [6.25e-06] +[2024-05-17 01:27:13,918] - INFO: Epoch 2207/9999, Iter 110340: Loss = 0.02178061380982399, lr = [6.25e-06] +[2024-05-17 01:27:33,445] - INFO: Epoch 2208/9999, Iter 110360: Loss = 0.013839425519108772, lr = [6.25e-06] +[2024-05-17 01:27:51,048] - INFO: Epoch 2208/9999, Iter 110380: Loss = 0.008923364803195, lr = [6.25e-06] +[2024-05-17 01:28:09,624] - INFO: Epoch 2209/9999, Iter 110400: Loss = 0.011666861362755299, lr = [6.25e-06] +[2024-05-17 01:28:26,498] - INFO: Epoch 2209/9999, Iter 110420: Loss = 0.01147469598799944, lr = [6.25e-06] +[2024-05-17 01:28:44,517] - INFO: Epoch 2209/9999, Iter 110440: Loss = 0.012540850788354874, lr = [6.25e-06] +[2024-05-17 01:29:02,712] - INFO: Epoch 2210/9999, Iter 110460: Loss = 0.011109964922070503, lr = [6.25e-06] +[2024-05-17 01:29:20,608] - INFO: Epoch 2210/9999, Iter 110480: Loss = 0.013638226315379143, lr = [6.25e-06] +[2024-05-17 01:29:37,296] - INFO: Evaluate at epoch 2210! +[2024-05-17 01:29:41,068] - INFO: Eval PSNR (max): 37.999 (2100) SSIM (max): 0.9608 (2170) +[2024-05-17 01:29:41,068] - INFO: Eval PSNR (current): 37.990 (2210) SSIM (current): 0.9608 (2210) +[2024-05-17 01:29:41,068] - INFO: Evaluation over. +[2024-05-17 01:29:47,227] - INFO: Epoch 2211/9999, Iter 110500: Loss = 0.015051108784973621, lr = [6.25e-06] +[2024-05-17 01:30:04,972] - INFO: Epoch 2211/9999, Iter 110520: Loss = 0.010494078509509563, lr = [6.25e-06] +[2024-05-17 01:30:22,804] - INFO: Epoch 2211/9999, Iter 110540: Loss = 0.008095960132777691, lr = [6.25e-06] +[2024-05-17 01:30:41,319] - INFO: Epoch 2212/9999, Iter 110560: Loss = 0.009638008661568165, lr = [6.25e-06] +[2024-05-17 01:30:58,561] - INFO: Epoch 2212/9999, Iter 110580: Loss = 0.012454627081751823, lr = [6.25e-06] +[2024-05-17 01:31:17,432] - INFO: Epoch 2213/9999, Iter 110600: Loss = 0.017481377348303795, lr = [6.25e-06] +[2024-05-17 01:31:34,793] - INFO: Epoch 2213/9999, Iter 110620: Loss = 0.009320924058556557, lr = [6.25e-06] +[2024-05-17 01:31:51,980] - INFO: Epoch 2213/9999, Iter 110640: Loss = 0.012113913893699646, lr = [6.25e-06] +[2024-05-17 01:32:10,822] - INFO: Epoch 2214/9999, Iter 110660: Loss = 0.014738652855157852, lr = [6.25e-06] +[2024-05-17 01:32:28,110] - INFO: Epoch 2214/9999, Iter 110680: Loss = 0.011295395903289318, lr = [6.25e-06] +[2024-05-17 01:32:47,536] - INFO: Epoch 2215/9999, Iter 110700: Loss = 0.014029236510396004, lr = [6.25e-06] +[2024-05-17 01:33:05,549] - INFO: Epoch 2215/9999, Iter 110720: Loss = 0.01239518541842699, lr = [6.25e-06] +[2024-05-17 01:33:24,046] - INFO: Epoch 2215/9999, Iter 110740: Loss = 0.012541931122541428, lr = [6.25e-06] +[2024-05-17 01:33:31,429] - INFO: Evaluate at epoch 2215! +[2024-05-17 01:33:34,814] - INFO: Eval PSNR (max): 37.999 (2100) SSIM (max): 0.9608 (2170) +[2024-05-17 01:33:34,815] - INFO: Eval PSNR (current): 37.993 (2215) SSIM (current): 0.9607 (2215) +[2024-05-17 01:33:34,815] - INFO: Evaluation over. +[2024-05-17 01:33:50,073] - INFO: Epoch 2216/9999, Iter 110760: Loss = 0.010427645407617092, lr = [6.25e-06] +[2024-05-17 01:34:07,708] - INFO: Epoch 2216/9999, Iter 110780: Loss = 0.015255874954164028, lr = [6.25e-06] +[2024-05-17 01:34:26,732] - INFO: Epoch 2217/9999, Iter 110800: Loss = 0.010427678003907204, lr = [6.25e-06] +[2024-05-17 01:34:44,218] - INFO: Epoch 2217/9999, Iter 110820: Loss = 0.015284077264368534, lr = [6.25e-06] +[2024-05-17 01:35:01,844] - INFO: Epoch 2217/9999, Iter 110840: Loss = 0.014409767463803291, lr = [6.25e-06] +[2024-05-17 01:35:21,556] - INFO: Epoch 2218/9999, Iter 110860: Loss = 0.01294654794037342, lr = [6.25e-06] +[2024-05-17 01:35:39,344] - INFO: Epoch 2218/9999, Iter 110880: Loss = 0.013798439875245094, lr = [6.25e-06] +[2024-05-17 01:35:58,336] - INFO: Epoch 2219/9999, Iter 110900: Loss = 0.016903884708881378, lr = [6.25e-06] +[2024-05-17 01:36:16,137] - INFO: Epoch 2219/9999, Iter 110920: Loss = 0.010207967832684517, lr = [6.25e-06] +[2024-05-17 01:36:34,240] - INFO: Epoch 2219/9999, Iter 110940: Loss = 0.010304971598088741, lr = [6.25e-06] +[2024-05-17 01:36:53,356] - INFO: Epoch 2220/9999, Iter 110960: Loss = 0.014098805375397205, lr = [6.25e-06] +[2024-05-17 01:37:10,999] - INFO: Epoch 2220/9999, Iter 110980: Loss = 0.009882836602628231, lr = [6.25e-06] +[2024-05-17 01:37:27,791] - INFO: Evaluate at epoch 2220! +[2024-05-17 01:37:35,120] - INFO: Eval PSNR (max): 37.999 (2100) SSIM (max): 0.9608 (2220) +[2024-05-17 01:37:35,120] - INFO: Eval PSNR (current): 37.989 (2220) SSIM (current): 0.9608 (2220) +[2024-05-17 01:37:35,120] - INFO: Evaluation over. +[2024-05-17 01:37:40,989] - INFO: Epoch 2221/9999, Iter 111000: Loss = 0.017135413363575935, lr = [6.25e-06] +[2024-05-17 01:37:57,912] - INFO: Epoch 2221/9999, Iter 111020: Loss = 0.01020278874784708, lr = [6.25e-06] +[2024-05-17 01:38:15,232] - INFO: Epoch 2221/9999, Iter 111040: Loss = 0.01733277179300785, lr = [6.25e-06] +[2024-05-17 01:38:34,841] - INFO: Epoch 2222/9999, Iter 111060: Loss = 0.00788663700222969, lr = [6.25e-06] +[2024-05-17 01:38:52,812] - INFO: Epoch 2222/9999, Iter 111080: Loss = 0.014954869635403156, lr = [6.25e-06] +[2024-05-17 01:39:11,603] - INFO: Epoch 2223/9999, Iter 111100: Loss = 0.008530082181096077, lr = [6.25e-06] +[2024-05-17 01:39:29,199] - INFO: Epoch 2223/9999, Iter 111120: Loss = 0.015465586446225643, lr = [6.25e-06] +[2024-05-17 01:39:47,665] - INFO: Epoch 2223/9999, Iter 111140: Loss = 0.014366842806339264, lr = [6.25e-06] +[2024-05-17 01:40:05,796] - INFO: Epoch 2224/9999, Iter 111160: Loss = 0.014713962562382221, lr = [6.25e-06] +[2024-05-17 01:40:23,788] - INFO: Epoch 2224/9999, Iter 111180: Loss = 0.01246577501296997, lr = [6.25e-06] +[2024-05-17 01:40:43,208] - INFO: Epoch 2225/9999, Iter 111200: Loss = 0.014775203540921211, lr = [6.25e-06] +[2024-05-17 01:41:00,490] - INFO: Epoch 2225/9999, Iter 111220: Loss = 0.013404492288827896, lr = [6.25e-06] +[2024-05-17 01:41:18,096] - INFO: Epoch 2225/9999, Iter 111240: Loss = 0.011075414717197418, lr = [6.25e-06] +[2024-05-17 01:41:25,676] - INFO: Evaluate at epoch 2225! +[2024-05-17 01:41:29,161] - INFO: Eval PSNR (max): 37.999 (2100) SSIM (max): 0.9608 (2220) +[2024-05-17 01:41:29,161] - INFO: Eval PSNR (current): 37.986 (2225) SSIM (current): 0.9607 (2225) +[2024-05-17 01:41:29,161] - INFO: Evaluation over. +[2024-05-17 01:41:44,244] - INFO: Epoch 2226/9999, Iter 111260: Loss = 0.018979258835315704, lr = [6.25e-06] +[2024-05-17 01:42:01,888] - INFO: Epoch 2226/9999, Iter 111280: Loss = 0.014277963899075985, lr = [6.25e-06] +[2024-05-17 01:42:20,895] - INFO: Epoch 2227/9999, Iter 111300: Loss = 0.01447358913719654, lr = [6.25e-06] +[2024-05-17 01:42:38,652] - INFO: Epoch 2227/9999, Iter 111320: Loss = 0.01245344989001751, lr = [6.25e-06] +[2024-05-17 01:42:56,423] - INFO: Epoch 2227/9999, Iter 111340: Loss = 0.012515604496002197, lr = [6.25e-06] +[2024-05-17 01:43:15,478] - INFO: Epoch 2228/9999, Iter 111360: Loss = 0.00816477369517088, lr = [6.25e-06] +[2024-05-17 01:43:33,661] - INFO: Epoch 2228/9999, Iter 111380: Loss = 0.009759141132235527, lr = [6.25e-06] +[2024-05-17 01:43:53,184] - INFO: Epoch 2229/9999, Iter 111400: Loss = 0.012232519686222076, lr = [6.25e-06] +[2024-05-17 01:44:10,254] - INFO: Epoch 2229/9999, Iter 111420: Loss = 0.008538076654076576, lr = [6.25e-06] +[2024-05-17 01:44:28,200] - INFO: Epoch 2229/9999, Iter 111440: Loss = 0.012181900441646576, lr = [6.25e-06] +[2024-05-17 01:44:47,484] - INFO: Epoch 2230/9999, Iter 111460: Loss = 0.019512411206960678, lr = [6.25e-06] +[2024-05-17 01:45:05,254] - INFO: Epoch 2230/9999, Iter 111480: Loss = 0.011969074606895447, lr = [6.25e-06] +[2024-05-17 01:45:21,855] - INFO: Evaluate at epoch 2230! +[2024-05-17 01:45:25,576] - INFO: Eval PSNR (max): 37.999 (2100) SSIM (max): 0.9608 (2220) +[2024-05-17 01:45:25,576] - INFO: Eval PSNR (current): 37.990 (2230) SSIM (current): 0.9607 (2230) +[2024-05-17 01:45:25,576] - INFO: Evaluation over. +[2024-05-17 01:45:31,730] - INFO: Epoch 2231/9999, Iter 111500: Loss = 0.013848822563886642, lr = [6.25e-06] +[2024-05-17 01:45:50,276] - INFO: Epoch 2231/9999, Iter 111520: Loss = 0.009972427040338516, lr = [6.25e-06] +[2024-05-17 01:46:07,704] - INFO: Epoch 2231/9999, Iter 111540: Loss = 0.011783949099481106, lr = [6.25e-06] +[2024-05-17 01:46:26,481] - INFO: Epoch 2232/9999, Iter 111560: Loss = 0.01291834469884634, lr = [6.25e-06] +[2024-05-17 01:46:43,553] - INFO: Epoch 2232/9999, Iter 111580: Loss = 0.013464205898344517, lr = [6.25e-06] +[2024-05-17 01:47:02,144] - INFO: Epoch 2233/9999, Iter 111600: Loss = 0.019514640793204308, lr = [6.25e-06] +[2024-05-17 01:47:19,761] - INFO: Epoch 2233/9999, Iter 111620: Loss = 0.01579483598470688, lr = [6.25e-06] +[2024-05-17 01:47:37,598] - INFO: Epoch 2233/9999, Iter 111640: Loss = 0.011102281510829926, lr = [6.25e-06] +[2024-05-17 01:47:56,112] - INFO: Epoch 2234/9999, Iter 111660: Loss = 0.013206211850047112, lr = [6.25e-06] +[2024-05-17 01:48:14,339] - INFO: Epoch 2234/9999, Iter 111680: Loss = 0.012463031336665154, lr = [6.25e-06] +[2024-05-17 01:48:32,972] - INFO: Epoch 2235/9999, Iter 111700: Loss = 0.01118249911814928, lr = [6.25e-06] +[2024-05-17 01:48:50,442] - INFO: Epoch 2235/9999, Iter 111720: Loss = 0.009500100277364254, lr = [6.25e-06] +[2024-05-17 01:49:07,686] - INFO: Epoch 2235/9999, Iter 111740: Loss = 0.013599258847534657, lr = [6.25e-06] +[2024-05-17 01:49:15,931] - INFO: Evaluate at epoch 2235! +[2024-05-17 01:49:19,446] - INFO: Eval PSNR (max): 37.999 (2100) SSIM (max): 0.9608 (2220) +[2024-05-17 01:49:19,447] - INFO: Eval PSNR (current): 37.982 (2235) SSIM (current): 0.9607 (2235) +[2024-05-17 01:49:19,447] - INFO: Evaluation over. +[2024-05-17 01:49:33,681] - INFO: Epoch 2236/9999, Iter 111760: Loss = 0.012830288149416447, lr = [6.25e-06] +[2024-05-17 01:49:51,252] - INFO: Epoch 2236/9999, Iter 111780: Loss = 0.006101104896515608, lr = [6.25e-06] +[2024-05-17 01:50:10,548] - INFO: Epoch 2237/9999, Iter 111800: Loss = 0.014256881549954414, lr = [6.25e-06] +[2024-05-17 01:50:28,104] - INFO: Epoch 2237/9999, Iter 111820: Loss = 0.007860155776143074, lr = [6.25e-06] +[2024-05-17 01:50:46,486] - INFO: Epoch 2237/9999, Iter 111840: Loss = 0.009639004245400429, lr = [6.25e-06] +[2024-05-17 01:51:04,796] - INFO: Epoch 2238/9999, Iter 111860: Loss = 0.01214386336505413, lr = [6.25e-06] +[2024-05-17 01:51:21,919] - INFO: Epoch 2238/9999, Iter 111880: Loss = 0.013909892179071903, lr = [6.25e-06] +[2024-05-17 01:51:41,334] - INFO: Epoch 2239/9999, Iter 111900: Loss = 0.008872125297784805, lr = [6.25e-06] +[2024-05-17 01:51:59,900] - INFO: Epoch 2239/9999, Iter 111920: Loss = 0.012878848239779472, lr = [6.25e-06] +[2024-05-17 01:52:17,365] - INFO: Epoch 2239/9999, Iter 111940: Loss = 0.010933376848697662, lr = [6.25e-06] +[2024-05-17 01:52:36,184] - INFO: Epoch 2240/9999, Iter 111960: Loss = 0.007588458713144064, lr = [6.25e-06] +[2024-05-17 01:52:54,532] - INFO: Epoch 2240/9999, Iter 111980: Loss = 0.010274836793541908, lr = [6.25e-06] +[2024-05-17 01:53:10,805] - INFO: Evaluate at epoch 2240! +[2024-05-17 01:53:17,897] - INFO: Eval PSNR (max): 37.999 (2100) SSIM (max): 0.9608 (2240) +[2024-05-17 01:53:17,897] - INFO: Eval PSNR (current): 37.986 (2240) SSIM (current): 0.9608 (2240) +[2024-05-17 01:53:17,898] - INFO: Evaluation over. +[2024-05-17 01:53:24,000] - INFO: Epoch 2241/9999, Iter 112000: Loss = 0.013748176395893097, lr = [6.25e-06] +[2024-05-17 01:53:42,248] - INFO: Epoch 2241/9999, Iter 112020: Loss = 0.00987283792346716, lr = [6.25e-06] +[2024-05-17 01:54:00,097] - INFO: Epoch 2241/9999, Iter 112040: Loss = 0.01884131133556366, lr = [6.25e-06] +[2024-05-17 01:54:18,459] - INFO: Epoch 2242/9999, Iter 112060: Loss = 0.01227529626339674, lr = [6.25e-06] +[2024-05-17 01:54:36,807] - INFO: Epoch 2242/9999, Iter 112080: Loss = 0.015321857295930386, lr = [6.25e-06] +[2024-05-17 01:54:55,626] - INFO: Epoch 2243/9999, Iter 112100: Loss = 0.013596953824162483, lr = [6.25e-06] +[2024-05-17 01:55:13,680] - INFO: Epoch 2243/9999, Iter 112120: Loss = 0.01754801534116268, lr = [6.25e-06] +[2024-05-17 01:55:31,698] - INFO: Epoch 2243/9999, Iter 112140: Loss = 0.013215640559792519, lr = [6.25e-06] +[2024-05-17 01:55:50,744] - INFO: Epoch 2244/9999, Iter 112160: Loss = 0.015781987458467484, lr = [6.25e-06] +[2024-05-17 01:56:08,040] - INFO: Epoch 2244/9999, Iter 112180: Loss = 0.01204480230808258, lr = [6.25e-06] +[2024-05-17 01:56:27,419] - INFO: Epoch 2245/9999, Iter 112200: Loss = 0.010106615722179413, lr = [6.25e-06] +[2024-05-17 01:56:45,051] - INFO: Epoch 2245/9999, Iter 112220: Loss = 0.01291396003216505, lr = [6.25e-06] +[2024-05-17 01:57:03,288] - INFO: Epoch 2245/9999, Iter 112240: Loss = 0.015815936028957367, lr = [6.25e-06] +[2024-05-17 01:57:10,855] - INFO: Evaluate at epoch 2245! +[2024-05-17 01:57:14,415] - INFO: Eval PSNR (max): 37.999 (2100) SSIM (max): 0.9608 (2240) +[2024-05-17 01:57:14,415] - INFO: Eval PSNR (current): 37.978 (2245) SSIM (current): 0.9608 (2245) +[2024-05-17 01:57:14,415] - INFO: Evaluation over. +[2024-05-17 01:57:29,872] - INFO: Epoch 2246/9999, Iter 112260: Loss = 0.012688185088336468, lr = [6.25e-06] +[2024-05-17 01:57:47,830] - INFO: Epoch 2246/9999, Iter 112280: Loss = 0.01123570092022419, lr = [6.25e-06] +[2024-05-17 01:58:06,764] - INFO: Epoch 2247/9999, Iter 112300: Loss = 0.012912822887301445, lr = [6.25e-06] +[2024-05-17 01:58:24,997] - INFO: Epoch 2247/9999, Iter 112320: Loss = 0.008294613100588322, lr = [6.25e-06] +[2024-05-17 01:58:42,756] - INFO: Epoch 2247/9999, Iter 112340: Loss = 0.010898561216890812, lr = [6.25e-06] +[2024-05-17 01:59:01,898] - INFO: Epoch 2248/9999, Iter 112360: Loss = 0.012147737666964531, lr = [6.25e-06] +[2024-05-17 01:59:20,056] - INFO: Epoch 2248/9999, Iter 112380: Loss = 0.013841231353580952, lr = [6.25e-06] +[2024-05-17 01:59:39,055] - INFO: Epoch 2249/9999, Iter 112400: Loss = 0.011108992621302605, lr = [6.25e-06] +[2024-05-17 01:59:56,884] - INFO: Epoch 2249/9999, Iter 112420: Loss = 0.015601684339344501, lr = [6.25e-06] +[2024-05-17 02:00:14,592] - INFO: Epoch 2249/9999, Iter 112440: Loss = 0.01306438259780407, lr = [6.25e-06] +[2024-05-17 02:00:33,423] - INFO: Epoch 2250/9999, Iter 112460: Loss = 0.014770880341529846, lr = [6.25e-06] +[2024-05-17 02:00:51,403] - INFO: Epoch 2250/9999, Iter 112480: Loss = 0.011535636149346828, lr = [6.25e-06] +[2024-05-17 02:01:08,349] - INFO: Evaluate at epoch 2250! +[2024-05-17 02:01:11,902] - INFO: Eval PSNR (max): 37.999 (2100) SSIM (max): 0.9608 (2240) +[2024-05-17 02:01:11,903] - INFO: Eval PSNR (current): 37.993 (2250) SSIM (current): 0.9608 (2250) +[2024-05-17 02:01:11,903] - INFO: Evaluation over. +[2024-05-17 02:01:17,899] - INFO: Epoch 2251/9999, Iter 112500: Loss = 0.014006851240992546, lr = [6.25e-06] +[2024-05-17 02:01:35,573] - INFO: Epoch 2251/9999, Iter 112520: Loss = 0.007163352333009243, lr = [6.25e-06] +[2024-05-17 02:01:53,351] - INFO: Epoch 2251/9999, Iter 112540: Loss = 0.023732660338282585, lr = [6.25e-06] +[2024-05-17 02:02:12,604] - INFO: Epoch 2252/9999, Iter 112560: Loss = 0.010305686853826046, lr = [6.25e-06] +[2024-05-17 02:02:31,115] - INFO: Epoch 2252/9999, Iter 112580: Loss = 0.011747205629944801, lr = [6.25e-06] +[2024-05-17 02:02:49,892] - INFO: Epoch 2253/9999, Iter 112600: Loss = 0.014116920530796051, lr = [6.25e-06] +[2024-05-17 02:03:07,860] - INFO: Epoch 2253/9999, Iter 112620: Loss = 0.00934330653399229, lr = [6.25e-06] +[2024-05-17 02:03:25,816] - INFO: Epoch 2253/9999, Iter 112640: Loss = 0.016538575291633606, lr = [6.25e-06] +[2024-05-17 02:03:44,283] - INFO: Epoch 2254/9999, Iter 112660: Loss = 0.014272036030888557, lr = [6.25e-06] +[2024-05-17 02:04:01,604] - INFO: Epoch 2254/9999, Iter 112680: Loss = 0.01806965284049511, lr = [6.25e-06] +[2024-05-17 02:04:20,400] - INFO: Epoch 2255/9999, Iter 112700: Loss = 0.01078940648585558, lr = [6.25e-06] +[2024-05-17 02:04:38,310] - INFO: Epoch 2255/9999, Iter 112720: Loss = 0.010391074232757092, lr = [6.25e-06] +[2024-05-17 02:04:56,190] - INFO: Epoch 2255/9999, Iter 112740: Loss = 0.013650826178491116, lr = [6.25e-06] +[2024-05-17 02:05:03,973] - INFO: Evaluate at epoch 2255! +[2024-05-17 02:05:07,573] - INFO: Eval PSNR (max): 37.999 (2100) SSIM (max): 0.9608 (2240) +[2024-05-17 02:05:07,573] - INFO: Eval PSNR (current): 37.983 (2255) SSIM (current): 0.9608 (2255) +[2024-05-17 02:05:07,574] - INFO: Evaluation over. +[2024-05-17 02:05:22,628] - INFO: Epoch 2256/9999, Iter 112760: Loss = 0.009502390399575233, lr = [6.25e-06] +[2024-05-17 02:05:40,623] - INFO: Epoch 2256/9999, Iter 112780: Loss = 0.01397909689694643, lr = [6.25e-06] +[2024-05-17 02:05:59,484] - INFO: Epoch 2257/9999, Iter 112800: Loss = 0.010408452711999416, lr = [6.25e-06] +[2024-05-17 02:06:17,060] - INFO: Epoch 2257/9999, Iter 112820: Loss = 0.01910228654742241, lr = [6.25e-06] +[2024-05-17 02:06:35,012] - INFO: Epoch 2257/9999, Iter 112840: Loss = 0.011169522069394588, lr = [6.25e-06] +[2024-05-17 02:06:54,200] - INFO: Epoch 2258/9999, Iter 112860: Loss = 0.00959693267941475, lr = [6.25e-06] +[2024-05-17 02:07:11,343] - INFO: Epoch 2258/9999, Iter 112880: Loss = 0.018417058512568474, lr = [6.25e-06] +[2024-05-17 02:07:30,646] - INFO: Epoch 2259/9999, Iter 112900: Loss = 0.01693839579820633, lr = [6.25e-06] +[2024-05-17 02:07:48,976] - INFO: Epoch 2259/9999, Iter 112920: Loss = 0.01591801829636097, lr = [6.25e-06] +[2024-05-17 02:08:06,792] - INFO: Epoch 2259/9999, Iter 112940: Loss = 0.014471661299467087, lr = [6.25e-06] +[2024-05-17 02:08:25,564] - INFO: Epoch 2260/9999, Iter 112960: Loss = 0.01591419242322445, lr = [6.25e-06] +[2024-05-17 02:08:43,713] - INFO: Epoch 2260/9999, Iter 112980: Loss = 0.01511297281831503, lr = [6.25e-06] +[2024-05-17 02:09:00,319] - INFO: Evaluate at epoch 2260! +[2024-05-17 02:09:03,739] - INFO: Eval PSNR (max): 37.999 (2100) SSIM (max): 0.9608 (2240) +[2024-05-17 02:09:03,740] - INFO: Eval PSNR (current): 37.985 (2260) SSIM (current): 0.9608 (2260) +[2024-05-17 02:09:03,740] - INFO: Evaluation over. +[2024-05-17 02:09:09,777] - INFO: Epoch 2261/9999, Iter 113000: Loss = 0.016339590772986412, lr = [6.25e-06] +[2024-05-17 02:09:26,870] - INFO: Epoch 2261/9999, Iter 113020: Loss = 0.016772445291280746, lr = [6.25e-06] +[2024-05-17 02:09:44,584] - INFO: Epoch 2261/9999, Iter 113040: Loss = 0.017023354768753052, lr = [6.25e-06] +[2024-05-17 02:10:04,121] - INFO: Epoch 2262/9999, Iter 113060: Loss = 0.015432947315275669, lr = [6.25e-06] +[2024-05-17 02:10:21,827] - INFO: Epoch 2262/9999, Iter 113080: Loss = 0.014491304755210876, lr = [6.25e-06] +[2024-05-17 02:10:41,051] - INFO: Epoch 2263/9999, Iter 113100: Loss = 0.010078447870910168, lr = [6.25e-06] +[2024-05-17 02:10:59,462] - INFO: Epoch 2263/9999, Iter 113120: Loss = 0.014512448571622372, lr = [6.25e-06] +[2024-05-17 02:11:17,264] - INFO: Epoch 2263/9999, Iter 113140: Loss = 0.011578665114939213, lr = [6.25e-06] +[2024-05-17 02:11:36,072] - INFO: Epoch 2264/9999, Iter 113160: Loss = 0.012124455533921719, lr = [6.25e-06] +[2024-05-17 02:11:53,864] - INFO: Epoch 2264/9999, Iter 113180: Loss = 0.012582969851791859, lr = [6.25e-06] +[2024-05-17 02:12:12,960] - INFO: Epoch 2265/9999, Iter 113200: Loss = 0.013243394903838634, lr = [6.25e-06] +[2024-05-17 02:12:31,460] - INFO: Epoch 2265/9999, Iter 113220: Loss = 0.021696673706173897, lr = [6.25e-06] +[2024-05-17 02:12:47,863] - INFO: Epoch 2265/9999, Iter 113240: Loss = 0.012269066646695137, lr = [6.25e-06] +[2024-05-17 02:12:55,792] - INFO: Evaluate at epoch 2265! +[2024-05-17 02:12:59,492] - INFO: Eval PSNR (max): 37.999 (2100) SSIM (max): 0.9608 (2240) +[2024-05-17 02:12:59,493] - INFO: Eval PSNR (current): 37.984 (2265) SSIM (current): 0.9608 (2265) +[2024-05-17 02:12:59,493] - INFO: Evaluation over. +[2024-05-17 02:13:14,698] - INFO: Epoch 2266/9999, Iter 113260: Loss = 0.010143489576876163, lr = [6.25e-06] +[2024-05-17 02:13:32,301] - INFO: Epoch 2266/9999, Iter 113280: Loss = 0.00958835519850254, lr = [6.25e-06] +[2024-05-17 02:13:51,567] - INFO: Epoch 2267/9999, Iter 113300: Loss = 0.010513696819543839, lr = [6.25e-06] +[2024-05-17 02:14:08,296] - INFO: Epoch 2267/9999, Iter 113320: Loss = 0.011980385519564152, lr = [6.25e-06] +[2024-05-17 02:14:26,813] - INFO: Epoch 2267/9999, Iter 113340: Loss = 0.013501880690455437, lr = [6.25e-06] +[2024-05-17 02:14:45,944] - INFO: Epoch 2268/9999, Iter 113360: Loss = 0.012123185209929943, lr = [6.25e-06] +[2024-05-17 02:15:04,003] - INFO: Epoch 2268/9999, Iter 113380: Loss = 0.01348435040563345, lr = [6.25e-06] +[2024-05-17 02:15:23,172] - INFO: Epoch 2269/9999, Iter 113400: Loss = 0.0158100463449955, lr = [6.25e-06] +[2024-05-17 02:15:40,104] - INFO: Epoch 2269/9999, Iter 113420: Loss = 0.013447201810777187, lr = [6.25e-06] +[2024-05-17 02:15:57,787] - INFO: Epoch 2269/9999, Iter 113440: Loss = 0.010732881724834442, lr = [6.25e-06] +[2024-05-17 02:16:17,406] - INFO: Epoch 2270/9999, Iter 113460: Loss = 0.018907586112618446, lr = [6.25e-06] +[2024-05-17 02:16:34,698] - INFO: Epoch 2270/9999, Iter 113480: Loss = 0.006505804136395454, lr = [6.25e-06] +[2024-05-17 02:16:51,983] - INFO: Evaluate at epoch 2270! +[2024-05-17 02:16:55,562] - INFO: Eval PSNR (max): 37.999 (2100) SSIM (max): 0.9608 (2240) +[2024-05-17 02:16:55,562] - INFO: Eval PSNR (current): 37.986 (2270) SSIM (current): 0.9608 (2270) +[2024-05-17 02:16:55,563] - INFO: Evaluation over. +[2024-05-17 02:17:01,340] - INFO: Epoch 2271/9999, Iter 113500: Loss = 0.013580558821558952, lr = [6.25e-06] +[2024-05-17 02:17:18,638] - INFO: Epoch 2271/9999, Iter 113520: Loss = 0.016038956120610237, lr = [6.25e-06] +[2024-05-17 02:17:35,870] - INFO: Epoch 2271/9999, Iter 113540: Loss = 0.010584180243313313, lr = [6.25e-06] +[2024-05-17 02:17:55,873] - INFO: Epoch 2272/9999, Iter 113560: Loss = 0.00933283381164074, lr = [6.25e-06] +[2024-05-17 02:18:14,244] - INFO: Epoch 2272/9999, Iter 113580: Loss = 0.019013281911611557, lr = [6.25e-06] +[2024-05-17 02:18:33,375] - INFO: Epoch 2273/9999, Iter 113600: Loss = 0.008728290908038616, lr = [6.25e-06] +[2024-05-17 02:18:51,508] - INFO: Epoch 2273/9999, Iter 113620: Loss = 0.011966748163104057, lr = [6.25e-06] +[2024-05-17 02:19:09,681] - INFO: Epoch 2273/9999, Iter 113640: Loss = 0.014410113915801048, lr = [6.25e-06] +[2024-05-17 02:19:28,036] - INFO: Epoch 2274/9999, Iter 113660: Loss = 0.014229984022676945, lr = [6.25e-06] +[2024-05-17 02:19:45,528] - INFO: Epoch 2274/9999, Iter 113680: Loss = 0.011886405758559704, lr = [6.25e-06] +[2024-05-17 02:20:04,179] - INFO: Epoch 2275/9999, Iter 113700: Loss = 0.015234666876494884, lr = [6.25e-06] +[2024-05-17 02:20:22,202] - INFO: Epoch 2275/9999, Iter 113720: Loss = 0.010610139928758144, lr = [6.25e-06] +[2024-05-17 02:20:40,136] - INFO: Epoch 2275/9999, Iter 113740: Loss = 0.014370227232575417, lr = [6.25e-06] +[2024-05-17 02:20:47,677] - INFO: Evaluate at epoch 2275! +[2024-05-17 02:20:51,134] - INFO: Eval PSNR (max): 37.999 (2100) SSIM (max): 0.9608 (2240) +[2024-05-17 02:20:51,134] - INFO: Eval PSNR (current): 37.986 (2275) SSIM (current): 0.9608 (2275) +[2024-05-17 02:20:51,134] - INFO: Evaluation over. +[2024-05-17 02:21:05,593] - INFO: Epoch 2276/9999, Iter 113760: Loss = 0.016546661034226418, lr = [6.25e-06] +[2024-05-17 02:21:22,944] - INFO: Epoch 2276/9999, Iter 113780: Loss = 0.011020056903362274, lr = [6.25e-06] +[2024-05-17 02:21:42,331] - INFO: Epoch 2277/9999, Iter 113800: Loss = 0.009215949103236198, lr = [6.25e-06] +[2024-05-17 02:22:00,324] - INFO: Epoch 2277/9999, Iter 113820: Loss = 0.014505648985505104, lr = [6.25e-06] +[2024-05-17 02:22:17,936] - INFO: Epoch 2277/9999, Iter 113840: Loss = 0.015408742241561413, lr = [6.25e-06] +[2024-05-17 02:22:37,229] - INFO: Epoch 2278/9999, Iter 113860: Loss = 0.012367731891572475, lr = [6.25e-06] +[2024-05-17 02:22:54,816] - INFO: Epoch 2278/9999, Iter 113880: Loss = 0.01472257450222969, lr = [6.25e-06] +[2024-05-17 02:23:13,260] - INFO: Epoch 2279/9999, Iter 113900: Loss = 0.01821369305253029, lr = [6.25e-06] +[2024-05-17 02:23:30,799] - INFO: Epoch 2279/9999, Iter 113920: Loss = 0.010504985228180885, lr = [6.25e-06] +[2024-05-17 02:23:48,148] - INFO: Epoch 2279/9999, Iter 113940: Loss = 0.00919802300632, lr = [6.25e-06] +[2024-05-17 02:24:07,448] - INFO: Epoch 2280/9999, Iter 113960: Loss = 0.012862030416727066, lr = [6.25e-06] +[2024-05-17 02:24:24,731] - INFO: Epoch 2280/9999, Iter 113980: Loss = 0.01755533181130886, lr = [6.25e-06] +[2024-05-17 02:24:41,462] - INFO: Evaluate at epoch 2280! +[2024-05-17 02:24:45,040] - INFO: Eval PSNR (max): 37.999 (2100) SSIM (max): 0.9608 (2240) +[2024-05-17 02:24:45,040] - INFO: Eval PSNR (current): 37.991 (2280) SSIM (current): 0.9608 (2280) +[2024-05-17 02:24:45,040] - INFO: Evaluation over. +[2024-05-17 02:24:50,992] - INFO: Epoch 2281/9999, Iter 114000: Loss = 0.010048766620457172, lr = [6.25e-06] +[2024-05-17 02:25:08,947] - INFO: Epoch 2281/9999, Iter 114020: Loss = 0.014785414561629295, lr = [6.25e-06] +[2024-05-17 02:25:26,828] - INFO: Epoch 2281/9999, Iter 114040: Loss = 0.014230417087674141, lr = [6.25e-06] +[2024-05-17 02:25:45,703] - INFO: Epoch 2282/9999, Iter 114060: Loss = 0.015325800515711308, lr = [6.25e-06] +[2024-05-17 02:26:04,108] - INFO: Epoch 2282/9999, Iter 114080: Loss = 0.00934811681509018, lr = [6.25e-06] +[2024-05-17 02:26:23,361] - INFO: Epoch 2283/9999, Iter 114100: Loss = 0.008488252758979797, lr = [6.25e-06] +[2024-05-17 02:26:41,572] - INFO: Epoch 2283/9999, Iter 114120: Loss = 0.010464516468346119, lr = [6.25e-06] +[2024-05-17 02:26:59,636] - INFO: Epoch 2283/9999, Iter 114140: Loss = 0.016455817967653275, lr = [6.25e-06] +[2024-05-17 02:27:18,207] - INFO: Epoch 2284/9999, Iter 114160: Loss = 0.010092661716043949, lr = [6.25e-06] +[2024-05-17 02:27:35,762] - INFO: Epoch 2284/9999, Iter 114180: Loss = 0.009099069982767105, lr = [6.25e-06] +[2024-05-17 02:27:55,016] - INFO: Epoch 2285/9999, Iter 114200: Loss = 0.011256147176027298, lr = [6.25e-06] +[2024-05-17 02:28:12,998] - INFO: Epoch 2285/9999, Iter 114220: Loss = 0.014163881540298462, lr = [6.25e-06] +[2024-05-17 02:28:30,752] - INFO: Epoch 2285/9999, Iter 114240: Loss = 0.014314820058643818, lr = [6.25e-06] +[2024-05-17 02:28:38,714] - INFO: Evaluate at epoch 2285! +[2024-05-17 02:28:42,290] - INFO: Eval PSNR (max): 37.999 (2100) SSIM (max): 0.9608 (2240) +[2024-05-17 02:28:42,290] - INFO: Eval PSNR (current): 37.985 (2285) SSIM (current): 0.9608 (2285) +[2024-05-17 02:28:42,290] - INFO: Evaluation over. +[2024-05-17 02:28:56,620] - INFO: Epoch 2286/9999, Iter 114260: Loss = 0.011800448410212994, lr = [6.25e-06] +[2024-05-17 02:29:16,533] - INFO: Epoch 2286/9999, Iter 114280: Loss = 0.015884218737483025, lr = [6.25e-06] +[2024-05-17 02:29:35,796] - INFO: Epoch 2287/9999, Iter 114300: Loss = 0.012649375945329666, lr = [6.25e-06] +[2024-05-17 02:29:53,092] - INFO: Epoch 2287/9999, Iter 114320: Loss = 0.011008895933628082, lr = [6.25e-06] +[2024-05-17 02:30:11,251] - INFO: Epoch 2287/9999, Iter 114340: Loss = 0.014027450233697891, lr = [6.25e-06] +[2024-05-17 02:30:30,384] - INFO: Epoch 2288/9999, Iter 114360: Loss = 0.011744357645511627, lr = [6.25e-06] +[2024-05-17 02:30:48,007] - INFO: Epoch 2288/9999, Iter 114380: Loss = 0.012385064736008644, lr = [6.25e-06] +[2024-05-17 02:31:07,220] - INFO: Epoch 2289/9999, Iter 114400: Loss = 0.015483902767300606, lr = [6.25e-06] +[2024-05-17 02:31:25,161] - INFO: Epoch 2289/9999, Iter 114420: Loss = 0.012284092605113983, lr = [6.25e-06] +[2024-05-17 02:31:42,130] - INFO: Epoch 2289/9999, Iter 114440: Loss = 0.014209160581231117, lr = [6.25e-06] +[2024-05-17 02:32:01,025] - INFO: Epoch 2290/9999, Iter 114460: Loss = 0.011785534210503101, lr = [6.25e-06] +[2024-05-17 02:32:18,180] - INFO: Epoch 2290/9999, Iter 114480: Loss = 0.011063055135309696, lr = [6.25e-06] +[2024-05-17 02:32:34,932] - INFO: Evaluate at epoch 2290! +[2024-05-17 02:32:38,574] - INFO: Eval PSNR (max): 37.999 (2100) SSIM (max): 0.9608 (2240) +[2024-05-17 02:32:38,574] - INFO: Eval PSNR (current): 37.980 (2290) SSIM (current): 0.9607 (2290) +[2024-05-17 02:32:38,574] - INFO: Evaluation over. +[2024-05-17 02:32:44,470] - INFO: Epoch 2291/9999, Iter 114500: Loss = 0.01445462554693222, lr = [6.25e-06] +[2024-05-17 02:33:02,243] - INFO: Epoch 2291/9999, Iter 114520: Loss = 0.014344853349030018, lr = [6.25e-06] +[2024-05-17 02:33:20,402] - INFO: Epoch 2291/9999, Iter 114540: Loss = 0.012285532429814339, lr = [6.25e-06] +[2024-05-17 02:33:39,216] - INFO: Epoch 2292/9999, Iter 114560: Loss = 0.0148859154433012, lr = [6.25e-06] +[2024-05-17 02:33:57,519] - INFO: Epoch 2292/9999, Iter 114580: Loss = 0.011881740763783455, lr = [6.25e-06] +[2024-05-17 02:34:16,287] - INFO: Epoch 2293/9999, Iter 114600: Loss = 0.0167433749884367, lr = [6.25e-06] +[2024-05-17 02:34:34,597] - INFO: Epoch 2293/9999, Iter 114620: Loss = 0.012324905022978783, lr = [6.25e-06] +[2024-05-17 02:34:52,061] - INFO: Epoch 2293/9999, Iter 114640: Loss = 0.01697136089205742, lr = [6.25e-06] +[2024-05-17 02:35:11,052] - INFO: Epoch 2294/9999, Iter 114660: Loss = 0.012245656922459602, lr = [6.25e-06] +[2024-05-17 02:35:28,401] - INFO: Epoch 2294/9999, Iter 114680: Loss = 0.01261341106146574, lr = [6.25e-06] +[2024-05-17 02:35:47,911] - INFO: Epoch 2295/9999, Iter 114700: Loss = 0.01138926763087511, lr = [6.25e-06] +[2024-05-17 02:36:05,922] - INFO: Epoch 2295/9999, Iter 114720: Loss = 0.016057321801781654, lr = [6.25e-06] +[2024-05-17 02:36:23,923] - INFO: Epoch 2295/9999, Iter 114740: Loss = 0.011842613108456135, lr = [6.25e-06] +[2024-05-17 02:36:31,672] - INFO: Evaluate at epoch 2295! +[2024-05-17 02:36:35,247] - INFO: Eval PSNR (max): 37.999 (2100) SSIM (max): 0.9608 (2240) +[2024-05-17 02:36:35,248] - INFO: Eval PSNR (current): 37.979 (2295) SSIM (current): 0.9607 (2295) +[2024-05-17 02:36:35,248] - INFO: Evaluation over. +[2024-05-17 02:36:50,081] - INFO: Epoch 2296/9999, Iter 114760: Loss = 0.01656263694167137, lr = [6.25e-06] +[2024-05-17 02:37:08,308] - INFO: Epoch 2296/9999, Iter 114780: Loss = 0.012376860715448856, lr = [6.25e-06] +[2024-05-17 02:37:27,320] - INFO: Epoch 2297/9999, Iter 114800: Loss = 0.013843940570950508, lr = [6.25e-06] +[2024-05-17 02:37:45,315] - INFO: Epoch 2297/9999, Iter 114820: Loss = 0.014268732629716396, lr = [6.25e-06] +[2024-05-17 02:38:03,384] - INFO: Epoch 2297/9999, Iter 114840: Loss = 0.011865383945405483, lr = [6.25e-06] +[2024-05-17 02:38:22,558] - INFO: Epoch 2298/9999, Iter 114860: Loss = 0.016696596518158913, lr = [6.25e-06] +[2024-05-17 02:38:40,615] - INFO: Epoch 2298/9999, Iter 114880: Loss = 0.009928888641297817, lr = [6.25e-06] +[2024-05-17 02:38:59,424] - INFO: Epoch 2299/9999, Iter 114900: Loss = 0.012808860279619694, lr = [6.25e-06] +[2024-05-17 02:39:16,490] - INFO: Epoch 2299/9999, Iter 114920: Loss = 0.01412968523800373, lr = [6.25e-06] +[2024-05-17 02:39:33,628] - INFO: Epoch 2299/9999, Iter 114940: Loss = 0.014459303580224514, lr = [6.25e-06] +[2024-05-17 02:39:53,009] - INFO: Epoch 2300/9999, Iter 114960: Loss = 0.01805657148361206, lr = [6.25e-06] +[2024-05-17 02:40:11,120] - INFO: Epoch 2300/9999, Iter 114980: Loss = 0.013899845071136951, lr = [6.25e-06] +[2024-05-17 02:40:27,300] - INFO: Evaluate at epoch 2300! +[2024-05-17 02:40:30,900] - INFO: Eval PSNR (max): 37.999 (2100) SSIM (max): 0.9608 (2240) +[2024-05-17 02:40:30,900] - INFO: Eval PSNR (current): 37.993 (2300) SSIM (current): 0.9608 (2300) +[2024-05-17 02:40:30,900] - INFO: Evaluation over. +[2024-05-17 02:40:37,140] - INFO: Epoch 2301/9999, Iter 115000: Loss = 0.010415331460535526, lr = [6.25e-06] +[2024-05-17 02:40:54,980] - INFO: Epoch 2301/9999, Iter 115020: Loss = 0.015171254053711891, lr = [6.25e-06] +[2024-05-17 02:41:12,707] - INFO: Epoch 2301/9999, Iter 115040: Loss = 0.009808337315917015, lr = [6.25e-06] +[2024-05-17 02:41:32,023] - INFO: Epoch 2302/9999, Iter 115060: Loss = 0.01824236661195755, lr = [6.25e-06] +[2024-05-17 02:41:49,361] - INFO: Epoch 2302/9999, Iter 115080: Loss = 0.010012589395046234, lr = [6.25e-06] +[2024-05-17 02:42:08,018] - INFO: Epoch 2303/9999, Iter 115100: Loss = 0.00932904053479433, lr = [6.25e-06] +[2024-05-17 02:42:25,757] - INFO: Epoch 2303/9999, Iter 115120: Loss = 0.007540155202150345, lr = [6.25e-06] +[2024-05-17 02:42:43,601] - INFO: Epoch 2303/9999, Iter 115140: Loss = 0.008977591060101986, lr = [6.25e-06] +[2024-05-17 02:43:02,400] - INFO: Epoch 2304/9999, Iter 115160: Loss = 0.007739201188087463, lr = [6.25e-06] +[2024-05-17 02:43:19,980] - INFO: Epoch 2304/9999, Iter 115180: Loss = 0.009892262518405914, lr = [6.25e-06] +[2024-05-17 02:43:38,648] - INFO: Epoch 2305/9999, Iter 115200: Loss = 0.013834591023623943, lr = [6.25e-06] +[2024-05-17 02:43:56,792] - INFO: Epoch 2305/9999, Iter 115220: Loss = 0.010491711087524891, lr = [6.25e-06] +[2024-05-17 02:44:14,336] - INFO: Epoch 2305/9999, Iter 115240: Loss = 0.012320214882493019, lr = [6.25e-06] +[2024-05-17 02:44:21,825] - INFO: Evaluate at epoch 2305! +[2024-05-17 02:44:25,287] - INFO: Eval PSNR (max): 37.999 (2100) SSIM (max): 0.9608 (2240) +[2024-05-17 02:44:25,287] - INFO: Eval PSNR (current): 37.989 (2305) SSIM (current): 0.9608 (2305) +[2024-05-17 02:44:25,287] - INFO: Evaluation over. +[2024-05-17 02:44:40,500] - INFO: Epoch 2306/9999, Iter 115260: Loss = 0.014269489794969559, lr = [6.25e-06] +[2024-05-17 02:44:58,275] - INFO: Epoch 2306/9999, Iter 115280: Loss = 0.015560315921902657, lr = [6.25e-06] +[2024-05-17 02:45:17,016] - INFO: Epoch 2307/9999, Iter 115300: Loss = 0.010747157037258148, lr = [6.25e-06] +[2024-05-17 02:45:35,019] - INFO: Epoch 2307/9999, Iter 115320: Loss = 0.013771465979516506, lr = [6.25e-06] +[2024-05-17 02:45:52,771] - INFO: Epoch 2307/9999, Iter 115340: Loss = 0.01720532961189747, lr = [6.25e-06] +[2024-05-17 02:46:11,708] - INFO: Epoch 2308/9999, Iter 115360: Loss = 0.015802660956978798, lr = [6.25e-06] +[2024-05-17 02:46:28,778] - INFO: Epoch 2308/9999, Iter 115380: Loss = 0.010404789820313454, lr = [6.25e-06] +[2024-05-17 02:46:48,222] - INFO: Epoch 2309/9999, Iter 115400: Loss = 0.010051327757537365, lr = [6.25e-06] +[2024-05-17 02:47:05,901] - INFO: Epoch 2309/9999, Iter 115420: Loss = 0.014129904098808765, lr = [6.25e-06] +[2024-05-17 02:47:24,417] - INFO: Epoch 2309/9999, Iter 115440: Loss = 0.01247393898665905, lr = [6.25e-06] +[2024-05-17 02:47:43,447] - INFO: Epoch 2310/9999, Iter 115460: Loss = 0.01292224507778883, lr = [6.25e-06] +[2024-05-17 02:48:01,130] - INFO: Epoch 2310/9999, Iter 115480: Loss = 0.011312783695757389, lr = [6.25e-06] +[2024-05-17 02:48:17,569] - INFO: Evaluate at epoch 2310! +[2024-05-17 02:48:21,073] - INFO: Eval PSNR (max): 37.999 (2100) SSIM (max): 0.9608 (2240) +[2024-05-17 02:48:21,074] - INFO: Eval PSNR (current): 37.982 (2310) SSIM (current): 0.9608 (2310) +[2024-05-17 02:48:21,074] - INFO: Evaluation over. +[2024-05-17 02:48:27,056] - INFO: Epoch 2311/9999, Iter 115500: Loss = 0.0123450281098485, lr = [6.25e-06] +[2024-05-17 02:48:44,793] - INFO: Epoch 2311/9999, Iter 115520: Loss = 0.01338428258895874, lr = [6.25e-06] +[2024-05-17 02:49:02,815] - INFO: Epoch 2311/9999, Iter 115540: Loss = 0.010570297949016094, lr = [6.25e-06] +[2024-05-17 02:49:21,392] - INFO: Epoch 2312/9999, Iter 115560: Loss = 0.01322287879884243, lr = [6.25e-06] +[2024-05-17 02:49:39,135] - INFO: Epoch 2312/9999, Iter 115580: Loss = 0.012461059726774693, lr = [6.25e-06] +[2024-05-17 02:49:57,996] - INFO: Epoch 2313/9999, Iter 115600: Loss = 0.008734822273254395, lr = [6.25e-06] +[2024-05-17 02:50:15,852] - INFO: Epoch 2313/9999, Iter 115620: Loss = 0.011250663548707962, lr = [6.25e-06] +[2024-05-17 02:50:33,052] - INFO: Epoch 2313/9999, Iter 115640: Loss = 0.013804287649691105, lr = [6.25e-06] +[2024-05-17 02:50:52,921] - INFO: Epoch 2314/9999, Iter 115660: Loss = 0.013475281186401844, lr = [6.25e-06] +[2024-05-17 02:51:10,964] - INFO: Epoch 2314/9999, Iter 115680: Loss = 0.0173747967928648, lr = [6.25e-06] +[2024-05-17 02:51:29,645] - INFO: Epoch 2315/9999, Iter 115700: Loss = 0.011140966787934303, lr = [6.25e-06] +[2024-05-17 02:51:47,609] - INFO: Epoch 2315/9999, Iter 115720: Loss = 0.016212794929742813, lr = [6.25e-06] +[2024-05-17 02:52:05,616] - INFO: Epoch 2315/9999, Iter 115740: Loss = 0.011046321131289005, lr = [6.25e-06] +[2024-05-17 02:52:13,379] - INFO: Evaluate at epoch 2315! +[2024-05-17 02:52:17,082] - INFO: Eval PSNR (max): 37.999 (2100) SSIM (max): 0.9608 (2240) +[2024-05-17 02:52:17,082] - INFO: Eval PSNR (current): 37.993 (2315) SSIM (current): 0.9608 (2315) +[2024-05-17 02:52:17,082] - INFO: Evaluation over. +[2024-05-17 02:52:32,292] - INFO: Epoch 2316/9999, Iter 115760: Loss = 0.012145201675593853, lr = [6.25e-06] +[2024-05-17 02:52:50,315] - INFO: Epoch 2316/9999, Iter 115780: Loss = 0.017557654529809952, lr = [6.25e-06] +[2024-05-17 02:53:09,129] - INFO: Epoch 2317/9999, Iter 115800: Loss = 0.01351395808160305, lr = [6.25e-06] +[2024-05-17 02:53:26,457] - INFO: Epoch 2317/9999, Iter 115820: Loss = 0.012518496252596378, lr = [6.25e-06] +[2024-05-17 02:53:43,416] - INFO: Epoch 2317/9999, Iter 115840: Loss = 0.014079730026423931, lr = [6.25e-06] +[2024-05-17 02:54:02,996] - INFO: Epoch 2318/9999, Iter 115860: Loss = 0.015255976468324661, lr = [6.25e-06] +[2024-05-17 02:54:20,693] - INFO: Epoch 2318/9999, Iter 115880: Loss = 0.01395174115896225, lr = [6.25e-06] +[2024-05-17 02:54:40,480] - INFO: Epoch 2319/9999, Iter 115900: Loss = 0.010371510870754719, lr = [6.25e-06] +[2024-05-17 02:54:58,563] - INFO: Epoch 2319/9999, Iter 115920: Loss = 0.011468134820461273, lr = [6.25e-06] +[2024-05-17 02:55:15,993] - INFO: Epoch 2319/9999, Iter 115940: Loss = 0.012624990195035934, lr = [6.25e-06] +[2024-05-17 02:55:35,568] - INFO: Epoch 2320/9999, Iter 115960: Loss = 0.009719718247652054, lr = [6.25e-06] +[2024-05-17 02:55:53,168] - INFO: Epoch 2320/9999, Iter 115980: Loss = 0.010742824524641037, lr = [6.25e-06] +[2024-05-17 02:56:09,718] - INFO: Evaluate at epoch 2320! +[2024-05-17 02:56:13,350] - INFO: Eval PSNR (max): 37.999 (2100) SSIM (max): 0.9608 (2240) +[2024-05-17 02:56:13,350] - INFO: Eval PSNR (current): 37.989 (2320) SSIM (current): 0.9607 (2320) +[2024-05-17 02:56:13,350] - INFO: Evaluation over. +[2024-05-17 02:56:19,474] - INFO: Epoch 2321/9999, Iter 116000: Loss = 0.015743352472782135, lr = [6.25e-06] +[2024-05-17 02:56:37,429] - INFO: Epoch 2321/9999, Iter 116020: Loss = 0.013666663318872452, lr = [6.25e-06] +[2024-05-17 02:56:56,000] - INFO: Epoch 2321/9999, Iter 116040: Loss = 0.010435785166919231, lr = [6.25e-06] +[2024-05-17 02:57:15,172] - INFO: Epoch 2322/9999, Iter 116060: Loss = 0.01299355924129486, lr = [6.25e-06] +[2024-05-17 02:57:33,120] - INFO: Epoch 2322/9999, Iter 116080: Loss = 0.008866128511726856, lr = [6.25e-06] +[2024-05-17 02:57:52,145] - INFO: Epoch 2323/9999, Iter 116100: Loss = 0.01213234756141901, lr = [6.25e-06] +[2024-05-17 02:58:10,476] - INFO: Epoch 2323/9999, Iter 116120: Loss = 0.013846988789737225, lr = [6.25e-06] +[2024-05-17 02:58:28,317] - INFO: Epoch 2323/9999, Iter 116140: Loss = 0.010609310120344162, lr = [6.25e-06] +[2024-05-17 02:58:46,621] - INFO: Epoch 2324/9999, Iter 116160: Loss = 0.013485535979270935, lr = [6.25e-06] +[2024-05-17 02:59:03,782] - INFO: Epoch 2324/9999, Iter 116180: Loss = 0.00700011570006609, lr = [6.25e-06] +[2024-05-17 02:59:22,551] - INFO: Epoch 2325/9999, Iter 116200: Loss = 0.013170694932341576, lr = [6.25e-06] +[2024-05-17 02:59:40,992] - INFO: Epoch 2325/9999, Iter 116220: Loss = 0.011947499588131905, lr = [6.25e-06] +[2024-05-17 02:59:58,372] - INFO: Epoch 2325/9999, Iter 116240: Loss = 0.01205538585782051, lr = [6.25e-06] +[2024-05-17 03:00:06,261] - INFO: Evaluate at epoch 2325! +[2024-05-17 03:00:09,963] - INFO: Eval PSNR (max): 37.999 (2100) SSIM (max): 0.9608 (2240) +[2024-05-17 03:00:09,964] - INFO: Eval PSNR (current): 37.987 (2325) SSIM (current): 0.9608 (2325) +[2024-05-17 03:00:09,964] - INFO: Evaluation over. +[2024-05-17 03:00:25,348] - INFO: Epoch 2326/9999, Iter 116260: Loss = 0.010298104025423527, lr = [6.25e-06] +[2024-05-17 03:00:43,736] - INFO: Epoch 2326/9999, Iter 116280: Loss = 0.012228726409375668, lr = [6.25e-06] +[2024-05-17 03:01:02,216] - INFO: Epoch 2327/9999, Iter 116300: Loss = 0.019155729562044144, lr = [6.25e-06] +[2024-05-17 03:01:20,457] - INFO: Epoch 2327/9999, Iter 116320: Loss = 0.012228990904986858, lr = [6.25e-06] +[2024-05-17 03:01:38,554] - INFO: Epoch 2327/9999, Iter 116340: Loss = 0.017439639195799828, lr = [6.25e-06] +[2024-05-17 03:01:56,737] - INFO: Epoch 2328/9999, Iter 116360: Loss = 0.012061825953423977, lr = [6.25e-06] +[2024-05-17 03:02:14,288] - INFO: Epoch 2328/9999, Iter 116380: Loss = 0.013132251799106598, lr = [6.25e-06] +[2024-05-17 03:02:34,104] - INFO: Epoch 2329/9999, Iter 116400: Loss = 0.011307669803500175, lr = [6.25e-06] +[2024-05-17 03:02:51,516] - INFO: Epoch 2329/9999, Iter 116420: Loss = 0.01275151688605547, lr = [6.25e-06] +[2024-05-17 03:03:08,931] - INFO: Epoch 2329/9999, Iter 116440: Loss = 0.01890973187983036, lr = [6.25e-06] +[2024-05-17 03:03:28,552] - INFO: Epoch 2330/9999, Iter 116460: Loss = 0.011252314783632755, lr = [6.25e-06] +[2024-05-17 03:03:46,810] - INFO: Epoch 2330/9999, Iter 116480: Loss = 0.011311780661344528, lr = [6.25e-06] +[2024-05-17 03:04:03,330] - INFO: Evaluate at epoch 2330! +[2024-05-17 03:04:06,796] - INFO: Eval PSNR (max): 37.999 (2100) SSIM (max): 0.9608 (2240) +[2024-05-17 03:04:06,796] - INFO: Eval PSNR (current): 37.986 (2330) SSIM (current): 0.9607 (2330) +[2024-05-17 03:04:06,796] - INFO: Evaluation over. +[2024-05-17 03:04:12,847] - INFO: Epoch 2331/9999, Iter 116500: Loss = 0.01208608876913786, lr = [6.25e-06] +[2024-05-17 03:04:30,355] - INFO: Epoch 2331/9999, Iter 116520: Loss = 0.011840607039630413, lr = [6.25e-06] +[2024-05-17 03:04:47,936] - INFO: Epoch 2331/9999, Iter 116540: Loss = 0.02033352665603161, lr = [6.25e-06] +[2024-05-17 03:05:08,222] - INFO: Epoch 2332/9999, Iter 116560: Loss = 0.011597339995205402, lr = [6.25e-06] +[2024-05-17 03:05:25,608] - INFO: Epoch 2332/9999, Iter 116580: Loss = 0.00854991190135479, lr = [6.25e-06] +[2024-05-17 03:05:44,388] - INFO: Epoch 2333/9999, Iter 116600: Loss = 0.01890488527715206, lr = [6.25e-06] +[2024-05-17 03:06:01,829] - INFO: Epoch 2333/9999, Iter 116620: Loss = 0.008309236727654934, lr = [6.25e-06] +[2024-05-17 03:06:19,972] - INFO: Epoch 2333/9999, Iter 116640: Loss = 0.012548227794468403, lr = [6.25e-06] +[2024-05-17 03:06:38,520] - INFO: Epoch 2334/9999, Iter 116660: Loss = 0.01070854440331459, lr = [6.25e-06] +[2024-05-17 03:06:56,494] - INFO: Epoch 2334/9999, Iter 116680: Loss = 0.017502207309007645, lr = [6.25e-06] +[2024-05-17 03:07:15,325] - INFO: Epoch 2335/9999, Iter 116700: Loss = 0.012104208581149578, lr = [6.25e-06] +[2024-05-17 03:07:32,820] - INFO: Epoch 2335/9999, Iter 116720: Loss = 0.015216600149869919, lr = [6.25e-06] +[2024-05-17 03:07:50,088] - INFO: Epoch 2335/9999, Iter 116740: Loss = 0.019399387761950493, lr = [6.25e-06] +[2024-05-17 03:07:57,907] - INFO: Evaluate at epoch 2335! +[2024-05-17 03:08:01,453] - INFO: Eval PSNR (max): 37.999 (2100) SSIM (max): 0.9608 (2240) +[2024-05-17 03:08:01,453] - INFO: Eval PSNR (current): 37.982 (2335) SSIM (current): 0.9608 (2335) +[2024-05-17 03:08:01,453] - INFO: Evaluation over. +[2024-05-17 03:08:16,173] - INFO: Epoch 2336/9999, Iter 116760: Loss = 0.008722585625946522, lr = [6.25e-06] +[2024-05-17 03:08:34,836] - INFO: Epoch 2336/9999, Iter 116780: Loss = 0.020909737795591354, lr = [6.25e-06] +[2024-05-17 03:08:53,495] - INFO: Epoch 2337/9999, Iter 116800: Loss = 0.018816938623785973, lr = [6.25e-06] +[2024-05-17 03:09:11,783] - INFO: Epoch 2337/9999, Iter 116820: Loss = 0.017798010259866714, lr = [6.25e-06] +[2024-05-17 03:09:29,563] - INFO: Epoch 2337/9999, Iter 116840: Loss = 0.011820076033473015, lr = [6.25e-06] +[2024-05-17 03:09:48,564] - INFO: Epoch 2338/9999, Iter 116860: Loss = 0.009967397898435593, lr = [6.25e-06] +[2024-05-17 03:10:05,764] - INFO: Epoch 2338/9999, Iter 116880: Loss = 0.012679985724389553, lr = [6.25e-06] +[2024-05-17 03:10:24,828] - INFO: Epoch 2339/9999, Iter 116900: Loss = 0.012531683780252934, lr = [6.25e-06] +[2024-05-17 03:10:42,352] - INFO: Epoch 2339/9999, Iter 116920: Loss = 0.011105183511972427, lr = [6.25e-06] +[2024-05-17 03:10:59,583] - INFO: Epoch 2339/9999, Iter 116940: Loss = 0.010579808615148067, lr = [6.25e-06] +[2024-05-17 03:11:19,129] - INFO: Epoch 2340/9999, Iter 116960: Loss = 0.008899005129933357, lr = [6.25e-06] +[2024-05-17 03:11:36,804] - INFO: Epoch 2340/9999, Iter 116980: Loss = 0.012623708695173264, lr = [6.25e-06] +[2024-05-17 03:11:53,532] - INFO: Evaluate at epoch 2340! +[2024-05-17 03:11:57,264] - INFO: Eval PSNR (max): 37.999 (2100) SSIM (max): 0.9608 (2240) +[2024-05-17 03:11:57,265] - INFO: Eval PSNR (current): 37.983 (2340) SSIM (current): 0.9608 (2340) +[2024-05-17 03:11:57,265] - INFO: Evaluation over. +[2024-05-17 03:12:03,424] - INFO: Epoch 2341/9999, Iter 117000: Loss = 0.013599276542663574, lr = [6.25e-06] +[2024-05-17 03:12:21,672] - INFO: Epoch 2341/9999, Iter 117020: Loss = 0.014818757772445679, lr = [6.25e-06] +[2024-05-17 03:12:39,388] - INFO: Epoch 2341/9999, Iter 117040: Loss = 0.011804950423538685, lr = [6.25e-06] +[2024-05-17 03:12:57,688] - INFO: Epoch 2342/9999, Iter 117060: Loss = 0.013562488369643688, lr = [6.25e-06] +[2024-05-17 03:13:15,774] - INFO: Epoch 2342/9999, Iter 117080: Loss = 0.009567073546350002, lr = [6.25e-06] +[2024-05-17 03:13:35,024] - INFO: Epoch 2343/9999, Iter 117100: Loss = 0.017618520185351372, lr = [6.25e-06] +[2024-05-17 03:13:52,266] - INFO: Epoch 2343/9999, Iter 117120: Loss = 0.01683228276669979, lr = [6.25e-06] +[2024-05-17 03:14:09,123] - INFO: Epoch 2343/9999, Iter 117140: Loss = 0.008322526700794697, lr = [6.25e-06] +[2024-05-17 03:14:27,832] - INFO: Epoch 2344/9999, Iter 117160: Loss = 0.010633571073412895, lr = [6.25e-06] +[2024-05-17 03:14:45,374] - INFO: Epoch 2344/9999, Iter 117180: Loss = 0.01578119583427906, lr = [6.25e-06] +[2024-05-17 03:15:05,404] - INFO: Epoch 2345/9999, Iter 117200: Loss = 0.008873187936842442, lr = [6.25e-06] +[2024-05-17 03:15:22,201] - INFO: Epoch 2345/9999, Iter 117220: Loss = 0.013485140167176723, lr = [6.25e-06] +[2024-05-17 03:15:39,548] - INFO: Epoch 2345/9999, Iter 117240: Loss = 0.012842289172112942, lr = [6.25e-06] +[2024-05-17 03:15:47,677] - INFO: Evaluate at epoch 2345! +[2024-05-17 03:15:51,118] - INFO: Eval PSNR (max): 37.999 (2100) SSIM (max): 0.9608 (2240) +[2024-05-17 03:15:51,118] - INFO: Eval PSNR (current): 37.997 (2345) SSIM (current): 0.9608 (2345) +[2024-05-17 03:15:51,118] - INFO: Evaluation over. +[2024-05-17 03:16:05,960] - INFO: Epoch 2346/9999, Iter 117260: Loss = 0.009906793013215065, lr = [6.25e-06] +[2024-05-17 03:16:23,190] - INFO: Epoch 2346/9999, Iter 117280: Loss = 0.008121473714709282, lr = [6.25e-06] +[2024-05-17 03:16:42,220] - INFO: Epoch 2347/9999, Iter 117300: Loss = 0.017518600448966026, lr = [6.25e-06] +[2024-05-17 03:17:00,625] - INFO: Epoch 2347/9999, Iter 117320: Loss = 0.013056974858045578, lr = [6.25e-06] +[2024-05-17 03:17:18,436] - INFO: Epoch 2347/9999, Iter 117340: Loss = 0.017048215493559837, lr = [6.25e-06] +[2024-05-17 03:17:37,517] - INFO: Epoch 2348/9999, Iter 117360: Loss = 0.012588548474013805, lr = [6.25e-06] +[2024-05-17 03:17:55,419] - INFO: Epoch 2348/9999, Iter 117380: Loss = 0.011544828303158283, lr = [6.25e-06] +[2024-05-17 03:18:14,768] - INFO: Epoch 2349/9999, Iter 117400: Loss = 0.017985478043556213, lr = [6.25e-06] +[2024-05-17 03:18:31,881] - INFO: Epoch 2349/9999, Iter 117420: Loss = 0.0133178336545825, lr = [6.25e-06] +[2024-05-17 03:18:50,621] - INFO: Epoch 2349/9999, Iter 117440: Loss = 0.011790473014116287, lr = [6.25e-06] +[2024-05-17 03:19:09,821] - INFO: Epoch 2350/9999, Iter 117460: Loss = 0.013424522243440151, lr = [6.25e-06] +[2024-05-17 03:19:27,694] - INFO: Epoch 2350/9999, Iter 117480: Loss = 0.011547284200787544, lr = [6.25e-06] +[2024-05-17 03:19:44,129] - INFO: Evaluate at epoch 2350! +[2024-05-17 03:19:47,635] - INFO: Eval PSNR (max): 37.999 (2100) SSIM (max): 0.9608 (2240) +[2024-05-17 03:19:47,636] - INFO: Eval PSNR (current): 37.991 (2350) SSIM (current): 0.9608 (2350) +[2024-05-17 03:19:47,636] - INFO: Evaluation over. +[2024-05-17 03:19:53,669] - INFO: Epoch 2351/9999, Iter 117500: Loss = 0.011202140711247921, lr = [6.25e-06] +[2024-05-17 03:20:11,365] - INFO: Epoch 2351/9999, Iter 117520: Loss = 0.013820851221680641, lr = [6.25e-06] +[2024-05-17 03:20:29,491] - INFO: Epoch 2351/9999, Iter 117540: Loss = 0.01427144929766655, lr = [6.25e-06] +[2024-05-17 03:20:48,891] - INFO: Epoch 2352/9999, Iter 117560: Loss = 0.014208907261490822, lr = [6.25e-06] +[2024-05-17 03:21:06,778] - INFO: Epoch 2352/9999, Iter 117580: Loss = 0.006921484135091305, lr = [6.25e-06] +[2024-05-17 03:21:25,236] - INFO: Epoch 2353/9999, Iter 117600: Loss = 0.009721492417156696, lr = [6.25e-06] +[2024-05-17 03:21:43,076] - INFO: Epoch 2353/9999, Iter 117620: Loss = 0.012166891247034073, lr = [6.25e-06] +[2024-05-17 03:22:01,292] - INFO: Epoch 2353/9999, Iter 117640: Loss = 0.020011743530631065, lr = [6.25e-06] +[2024-05-17 03:22:19,938] - INFO: Epoch 2354/9999, Iter 117660: Loss = 0.017633114010095596, lr = [6.25e-06] +[2024-05-17 03:22:38,028] - INFO: Epoch 2354/9999, Iter 117680: Loss = 0.010972238145768642, lr = [6.25e-06] +[2024-05-17 03:22:56,429] - INFO: Epoch 2355/9999, Iter 117700: Loss = 0.018305322155356407, lr = [6.25e-06] +[2024-05-17 03:23:14,750] - INFO: Epoch 2355/9999, Iter 117720: Loss = 0.01005641184747219, lr = [6.25e-06] +[2024-05-17 03:23:32,336] - INFO: Epoch 2355/9999, Iter 117740: Loss = 0.01442171074450016, lr = [6.25e-06] +[2024-05-17 03:23:39,840] - INFO: Evaluate at epoch 2355! +[2024-05-17 03:23:51,222] - INFO: Eval PSNR (max): 38.003 (2355) SSIM (max): 0.9608 (2355) +[2024-05-17 03:23:51,223] - INFO: Eval PSNR (current): 38.003 (2355) SSIM (current): 0.9608 (2355) +[2024-05-17 03:23:51,223] - INFO: Evaluation over. +[2024-05-17 03:24:05,802] - INFO: Epoch 2356/9999, Iter 117760: Loss = 0.010081485845148563, lr = [6.25e-06] +[2024-05-17 03:24:23,796] - INFO: Epoch 2356/9999, Iter 117780: Loss = 0.013187308795750141, lr = [6.25e-06] +[2024-05-17 03:24:42,597] - INFO: Epoch 2357/9999, Iter 117800: Loss = 0.012941839173436165, lr = [6.25e-06] +[2024-05-17 03:25:01,139] - INFO: Epoch 2357/9999, Iter 117820: Loss = 0.019602086395025253, lr = [6.25e-06] +[2024-05-17 03:25:18,544] - INFO: Epoch 2357/9999, Iter 117840: Loss = 0.012010814622044563, lr = [6.25e-06] +[2024-05-17 03:25:37,629] - INFO: Epoch 2358/9999, Iter 117860: Loss = 0.010988633148372173, lr = [6.25e-06] +[2024-05-17 03:25:55,842] - INFO: Epoch 2358/9999, Iter 117880: Loss = 0.010714760981500149, lr = [6.25e-06] +[2024-05-17 03:26:14,912] - INFO: Epoch 2359/9999, Iter 117900: Loss = 0.01021919772028923, lr = [6.25e-06] +[2024-05-17 03:26:32,584] - INFO: Epoch 2359/9999, Iter 117920: Loss = 0.016025690361857414, lr = [6.25e-06] +[2024-05-17 03:26:50,218] - INFO: Epoch 2359/9999, Iter 117940: Loss = 0.0075975744985044, lr = [6.25e-06] +[2024-05-17 03:27:09,080] - INFO: Epoch 2360/9999, Iter 117960: Loss = 0.015350074507296085, lr = [6.25e-06] +[2024-05-17 03:27:26,422] - INFO: Epoch 2360/9999, Iter 117980: Loss = 0.013549236580729485, lr = [6.25e-06] +[2024-05-17 03:27:43,439] - INFO: Evaluate at epoch 2360! +[2024-05-17 03:27:46,898] - INFO: Eval PSNR (max): 38.003 (2355) SSIM (max): 0.9608 (2355) +[2024-05-17 03:27:46,898] - INFO: Eval PSNR (current): 37.991 (2360) SSIM (current): 0.9608 (2360) +[2024-05-17 03:27:46,898] - INFO: Evaluation over. +[2024-05-17 03:27:52,752] - INFO: Epoch 2361/9999, Iter 118000: Loss = 0.01478609163314104, lr = [6.25e-06] +[2024-05-17 03:28:10,083] - INFO: Epoch 2361/9999, Iter 118020: Loss = 0.008019260130822659, lr = [6.25e-06] +[2024-05-17 03:28:27,589] - INFO: Epoch 2361/9999, Iter 118040: Loss = 0.009288733825087547, lr = [6.25e-06] +[2024-05-17 03:28:47,642] - INFO: Epoch 2362/9999, Iter 118060: Loss = 0.014884132891893387, lr = [6.25e-06] +[2024-05-17 03:29:05,603] - INFO: Epoch 2362/9999, Iter 118080: Loss = 0.012627833522856236, lr = [6.25e-06] +[2024-05-17 03:29:24,724] - INFO: Epoch 2363/9999, Iter 118100: Loss = 0.011331927962601185, lr = [6.25e-06] +[2024-05-17 03:29:42,022] - INFO: Epoch 2363/9999, Iter 118120: Loss = 0.0129273422062397, lr = [6.25e-06] +[2024-05-17 03:29:59,840] - INFO: Epoch 2363/9999, Iter 118140: Loss = 0.011554181575775146, lr = [6.25e-06] +[2024-05-17 03:30:19,346] - INFO: Epoch 2364/9999, Iter 118160: Loss = 0.012226628139615059, lr = [6.25e-06] +[2024-05-17 03:30:37,408] - INFO: Epoch 2364/9999, Iter 118180: Loss = 0.017450284212827682, lr = [6.25e-06] +[2024-05-17 03:30:57,378] - INFO: Epoch 2365/9999, Iter 118200: Loss = 0.018760455772280693, lr = [6.25e-06] +[2024-05-17 03:31:14,960] - INFO: Epoch 2365/9999, Iter 118220: Loss = 0.015410399995744228, lr = [6.25e-06] +[2024-05-17 03:31:31,959] - INFO: Epoch 2365/9999, Iter 118240: Loss = 0.013217056170105934, lr = [6.25e-06] +[2024-05-17 03:31:39,825] - INFO: Evaluate at epoch 2365! +[2024-05-17 03:31:43,482] - INFO: Eval PSNR (max): 38.003 (2355) SSIM (max): 0.9608 (2355) +[2024-05-17 03:31:43,483] - INFO: Eval PSNR (current): 37.993 (2365) SSIM (current): 0.9608 (2365) +[2024-05-17 03:31:43,483] - INFO: Evaluation over. +[2024-05-17 03:31:58,107] - INFO: Epoch 2366/9999, Iter 118260: Loss = 0.009483663365244865, lr = [6.25e-06] +[2024-05-17 03:32:15,613] - INFO: Epoch 2366/9999, Iter 118280: Loss = 0.013792942278087139, lr = [6.25e-06] +[2024-05-17 03:32:34,543] - INFO: Epoch 2367/9999, Iter 118300: Loss = 0.013194934464991093, lr = [6.25e-06] +[2024-05-17 03:32:52,302] - INFO: Epoch 2367/9999, Iter 118320: Loss = 0.013248959556221962, lr = [6.25e-06] +[2024-05-17 03:33:10,672] - INFO: Epoch 2367/9999, Iter 118340: Loss = 0.011370153166353703, lr = [6.25e-06] +[2024-05-17 03:33:29,664] - INFO: Epoch 2368/9999, Iter 118360: Loss = 0.014314529486000538, lr = [6.25e-06] +[2024-05-17 03:33:47,431] - INFO: Epoch 2368/9999, Iter 118380: Loss = 0.01791774109005928, lr = [6.25e-06] +[2024-05-17 03:34:06,161] - INFO: Epoch 2369/9999, Iter 118400: Loss = 0.014971555210649967, lr = [6.25e-06] +[2024-05-17 03:34:24,606] - INFO: Epoch 2369/9999, Iter 118420: Loss = 0.018933607265353203, lr = [6.25e-06] +[2024-05-17 03:34:42,103] - INFO: Epoch 2369/9999, Iter 118440: Loss = 0.011087321676313877, lr = [6.25e-06] +[2024-05-17 03:35:01,143] - INFO: Epoch 2370/9999, Iter 118460: Loss = 0.014150790870189667, lr = [6.25e-06] +[2024-05-17 03:35:19,004] - INFO: Epoch 2370/9999, Iter 118480: Loss = 0.00945222843438387, lr = [6.25e-06] +[2024-05-17 03:35:35,641] - INFO: Evaluate at epoch 2370! +[2024-05-17 03:35:39,291] - INFO: Eval PSNR (max): 38.003 (2355) SSIM (max): 0.9608 (2355) +[2024-05-17 03:35:39,292] - INFO: Eval PSNR (current): 38.000 (2370) SSIM (current): 0.9608 (2370) +[2024-05-17 03:35:39,292] - INFO: Evaluation over. +[2024-05-17 03:35:45,160] - INFO: Epoch 2371/9999, Iter 118500: Loss = 0.010560201480984688, lr = [6.25e-06] +[2024-05-17 03:36:02,296] - INFO: Epoch 2371/9999, Iter 118520: Loss = 0.01405484788119793, lr = [6.25e-06] +[2024-05-17 03:36:19,659] - INFO: Epoch 2371/9999, Iter 118540: Loss = 0.013399775139987469, lr = [6.25e-06] +[2024-05-17 03:36:38,725] - INFO: Epoch 2372/9999, Iter 118560: Loss = 0.01769017055630684, lr = [6.25e-06] +[2024-05-17 03:36:56,492] - INFO: Epoch 2372/9999, Iter 118580: Loss = 0.01902582496404648, lr = [6.25e-06] +[2024-05-17 03:37:15,754] - INFO: Epoch 2373/9999, Iter 118600: Loss = 0.013535402715206146, lr = [6.25e-06] +[2024-05-17 03:37:33,294] - INFO: Epoch 2373/9999, Iter 118620: Loss = 0.01744817942380905, lr = [6.25e-06] +[2024-05-17 03:37:51,240] - INFO: Epoch 2373/9999, Iter 118640: Loss = 0.015517697669565678, lr = [6.25e-06] +[2024-05-17 03:38:09,839] - INFO: Epoch 2374/9999, Iter 118660: Loss = 0.011493397876620293, lr = [6.25e-06] +[2024-05-17 03:38:28,033] - INFO: Epoch 2374/9999, Iter 118680: Loss = 0.01523641124367714, lr = [6.25e-06] +[2024-05-17 03:38:46,789] - INFO: Epoch 2375/9999, Iter 118700: Loss = 0.013639467768371105, lr = [6.25e-06] +[2024-05-17 03:39:04,500] - INFO: Epoch 2375/9999, Iter 118720: Loss = 0.013232872821390629, lr = [6.25e-06] +[2024-05-17 03:39:21,674] - INFO: Epoch 2375/9999, Iter 118740: Loss = 0.011268021538853645, lr = [6.25e-06] +[2024-05-17 03:39:29,356] - INFO: Evaluate at epoch 2375! +[2024-05-17 03:39:33,086] - INFO: Eval PSNR (max): 38.003 (2355) SSIM (max): 0.9608 (2355) +[2024-05-17 03:39:33,086] - INFO: Eval PSNR (current): 37.982 (2375) SSIM (current): 0.9608 (2375) +[2024-05-17 03:39:33,086] - INFO: Evaluation over. +[2024-05-17 03:39:48,016] - INFO: Epoch 2376/9999, Iter 118760: Loss = 0.009253371506929398, lr = [6.25e-06] +[2024-05-17 03:40:05,495] - INFO: Epoch 2376/9999, Iter 118780: Loss = 0.010406939312815666, lr = [6.25e-06] +[2024-05-17 03:40:24,648] - INFO: Epoch 2377/9999, Iter 118800: Loss = 0.017304077744483948, lr = [6.25e-06] +[2024-05-17 03:40:41,799] - INFO: Epoch 2377/9999, Iter 118820: Loss = 0.012133221141994, lr = [6.25e-06] +[2024-05-17 03:40:59,043] - INFO: Epoch 2377/9999, Iter 118840: Loss = 0.01679701916873455, lr = [6.25e-06] +[2024-05-17 03:41:19,116] - INFO: Epoch 2378/9999, Iter 118860: Loss = 0.013084635138511658, lr = [6.25e-06] +[2024-05-17 03:41:36,789] - INFO: Epoch 2378/9999, Iter 118880: Loss = 0.009973468258976936, lr = [6.25e-06] +[2024-05-17 03:41:55,624] - INFO: Epoch 2379/9999, Iter 118900: Loss = 0.011197921819984913, lr = [6.25e-06] +[2024-05-17 03:42:12,480] - INFO: Epoch 2379/9999, Iter 118920: Loss = 0.014460927806794643, lr = [6.25e-06] +[2024-05-17 03:42:29,908] - INFO: Epoch 2379/9999, Iter 118940: Loss = 0.012240718118846416, lr = [6.25e-06] +[2024-05-17 03:42:49,002] - INFO: Epoch 2380/9999, Iter 118960: Loss = 0.00988649483770132, lr = [6.25e-06] +[2024-05-17 03:43:07,026] - INFO: Epoch 2380/9999, Iter 118980: Loss = 0.016002463176846504, lr = [6.25e-06] +[2024-05-17 03:43:23,814] - INFO: Evaluate at epoch 2380! +[2024-05-17 03:43:27,373] - INFO: Eval PSNR (max): 38.003 (2355) SSIM (max): 0.9608 (2355) +[2024-05-17 03:43:27,373] - INFO: Eval PSNR (current): 37.994 (2380) SSIM (current): 0.9608 (2380) +[2024-05-17 03:43:27,374] - INFO: Evaluation over. +[2024-05-17 03:43:33,169] - INFO: Epoch 2381/9999, Iter 119000: Loss = 0.011141208931803703, lr = [6.25e-06] +[2024-05-17 03:43:49,930] - INFO: Epoch 2381/9999, Iter 119020: Loss = 0.01649589091539383, lr = [6.25e-06] +[2024-05-17 03:44:07,132] - INFO: Epoch 2381/9999, Iter 119040: Loss = 0.01830103248357773, lr = [6.25e-06] +[2024-05-17 03:44:26,872] - INFO: Epoch 2382/9999, Iter 119060: Loss = 0.007329508196562529, lr = [6.25e-06] +[2024-05-17 03:44:44,824] - INFO: Epoch 2382/9999, Iter 119080: Loss = 0.012105237692594528, lr = [6.25e-06] +[2024-05-17 03:45:03,688] - INFO: Epoch 2383/9999, Iter 119100: Loss = 0.012880354188382626, lr = [6.25e-06] +[2024-05-17 03:45:21,536] - INFO: Epoch 2383/9999, Iter 119120: Loss = 0.012346786446869373, lr = [6.25e-06] +[2024-05-17 03:45:39,024] - INFO: Epoch 2383/9999, Iter 119140: Loss = 0.010309617035090923, lr = [6.25e-06] +[2024-05-17 03:45:57,755] - INFO: Epoch 2384/9999, Iter 119160: Loss = 0.013031044974923134, lr = [6.25e-06] +[2024-05-17 03:46:15,330] - INFO: Epoch 2384/9999, Iter 119180: Loss = 0.010171031579375267, lr = [6.25e-06] +[2024-05-17 03:46:33,629] - INFO: Epoch 2385/9999, Iter 119200: Loss = 0.014171557500958443, lr = [6.25e-06] +[2024-05-17 03:46:51,603] - INFO: Epoch 2385/9999, Iter 119220: Loss = 0.008948739618062973, lr = [6.25e-06] +[2024-05-17 03:47:09,103] - INFO: Epoch 2385/9999, Iter 119240: Loss = 0.015210272744297981, lr = [6.25e-06] +[2024-05-17 03:47:16,969] - INFO: Evaluate at epoch 2385! +[2024-05-17 03:47:20,523] - INFO: Eval PSNR (max): 38.003 (2355) SSIM (max): 0.9608 (2355) +[2024-05-17 03:47:20,523] - INFO: Eval PSNR (current): 37.990 (2385) SSIM (current): 0.9608 (2385) +[2024-05-17 03:47:20,523] - INFO: Evaluation over. +[2024-05-17 03:47:35,375] - INFO: Epoch 2386/9999, Iter 119260: Loss = 0.02050611935555935, lr = [6.25e-06] +[2024-05-17 03:47:52,685] - INFO: Epoch 2386/9999, Iter 119280: Loss = 0.012738465331494808, lr = [6.25e-06] +[2024-05-17 03:48:11,460] - INFO: Epoch 2387/9999, Iter 119300: Loss = 0.009602226316928864, lr = [6.25e-06] +[2024-05-17 03:48:28,855] - INFO: Epoch 2387/9999, Iter 119320: Loss = 0.015514077618718147, lr = [6.25e-06] +[2024-05-17 03:48:47,244] - INFO: Epoch 2387/9999, Iter 119340: Loss = 0.01169047225266695, lr = [6.25e-06] +[2024-05-17 03:49:05,381] - INFO: Epoch 2388/9999, Iter 119360: Loss = 0.01125643402338028, lr = [6.25e-06] +[2024-05-17 03:49:23,643] - INFO: Epoch 2388/9999, Iter 119380: Loss = 0.013594575226306915, lr = [6.25e-06] +[2024-05-17 03:49:42,552] - INFO: Epoch 2389/9999, Iter 119400: Loss = 0.011894429102540016, lr = [6.25e-06] +[2024-05-17 03:50:00,802] - INFO: Epoch 2389/9999, Iter 119420: Loss = 0.014428183436393738, lr = [6.25e-06] +[2024-05-17 03:50:19,012] - INFO: Epoch 2389/9999, Iter 119440: Loss = 0.01555060688406229, lr = [6.25e-06] +[2024-05-17 03:50:38,018] - INFO: Epoch 2390/9999, Iter 119460: Loss = 0.014484519138932228, lr = [6.25e-06] +[2024-05-17 03:50:55,348] - INFO: Epoch 2390/9999, Iter 119480: Loss = 0.013207455165684223, lr = [6.25e-06] +[2024-05-17 03:51:12,046] - INFO: Evaluate at epoch 2390! +[2024-05-17 03:51:15,496] - INFO: Eval PSNR (max): 38.003 (2355) SSIM (max): 0.9608 (2355) +[2024-05-17 03:51:15,497] - INFO: Eval PSNR (current): 37.989 (2390) SSIM (current): 0.9608 (2390) +[2024-05-17 03:51:15,497] - INFO: Evaluation over. +[2024-05-17 03:51:21,389] - INFO: Epoch 2391/9999, Iter 119500: Loss = 0.008565007708966732, lr = [6.25e-06] +[2024-05-17 03:51:39,652] - INFO: Epoch 2391/9999, Iter 119520: Loss = 0.010963748209178448, lr = [6.25e-06] +[2024-05-17 03:51:57,429] - INFO: Epoch 2391/9999, Iter 119540: Loss = 0.01964331977069378, lr = [6.25e-06] +[2024-05-17 03:52:16,707] - INFO: Epoch 2392/9999, Iter 119560: Loss = 0.013605169020593166, lr = [6.25e-06] +[2024-05-17 03:52:34,807] - INFO: Epoch 2392/9999, Iter 119580: Loss = 0.01252706628292799, lr = [6.25e-06] +[2024-05-17 03:52:53,459] - INFO: Epoch 2393/9999, Iter 119600: Loss = 0.012185078114271164, lr = [6.25e-06] +[2024-05-17 03:53:11,463] - INFO: Epoch 2393/9999, Iter 119620: Loss = 0.011036980897188187, lr = [6.25e-06] +[2024-05-17 03:53:29,512] - INFO: Epoch 2393/9999, Iter 119640: Loss = 0.011765874922275543, lr = [6.25e-06] +[2024-05-17 03:53:48,296] - INFO: Epoch 2394/9999, Iter 119660: Loss = 0.010440709069371223, lr = [6.25e-06] +[2024-05-17 03:54:05,428] - INFO: Epoch 2394/9999, Iter 119680: Loss = 0.013010815717279911, lr = [6.25e-06] +[2024-05-17 03:54:24,709] - INFO: Epoch 2395/9999, Iter 119700: Loss = 0.008077544160187244, lr = [6.25e-06] +[2024-05-17 03:54:42,716] - INFO: Epoch 2395/9999, Iter 119720: Loss = 0.013605598360300064, lr = [6.25e-06] +[2024-05-17 03:55:00,731] - INFO: Epoch 2395/9999, Iter 119740: Loss = 0.011992529965937138, lr = [6.25e-06] +[2024-05-17 03:55:08,164] - INFO: Evaluate at epoch 2395! +[2024-05-17 03:55:11,783] - INFO: Eval PSNR (max): 38.003 (2355) SSIM (max): 0.9608 (2355) +[2024-05-17 03:55:11,783] - INFO: Eval PSNR (current): 37.992 (2395) SSIM (current): 0.9608 (2395) +[2024-05-17 03:55:11,784] - INFO: Evaluation over. +[2024-05-17 03:55:26,923] - INFO: Epoch 2396/9999, Iter 119760: Loss = 0.016147932037711143, lr = [6.25e-06] +[2024-05-17 03:55:44,648] - INFO: Epoch 2396/9999, Iter 119780: Loss = 0.01207324955612421, lr = [6.25e-06] +[2024-05-17 03:56:03,388] - INFO: Epoch 2397/9999, Iter 119800: Loss = 0.012720316648483276, lr = [6.25e-06] +[2024-05-17 03:56:20,838] - INFO: Epoch 2397/9999, Iter 119820: Loss = 0.015631873160600662, lr = [6.25e-06] +[2024-05-17 03:56:39,492] - INFO: Epoch 2397/9999, Iter 119840: Loss = 0.00939835887402296, lr = [6.25e-06] +[2024-05-17 03:56:58,128] - INFO: Epoch 2398/9999, Iter 119860: Loss = 0.007454591803252697, lr = [6.25e-06] +[2024-05-17 03:57:16,905] - INFO: Epoch 2398/9999, Iter 119880: Loss = 0.013991393148899078, lr = [6.25e-06] +[2024-05-17 03:57:35,471] - INFO: Epoch 2399/9999, Iter 119900: Loss = 0.01277892291545868, lr = [6.25e-06] +[2024-05-17 03:57:53,536] - INFO: Epoch 2399/9999, Iter 119920: Loss = 0.01059950515627861, lr = [6.25e-06] +[2024-05-17 03:58:11,436] - INFO: Epoch 2399/9999, Iter 119940: Loss = 0.016614165157079697, lr = [6.25e-06] +[2024-05-17 03:58:30,868] - INFO: Epoch 2400/9999, Iter 119960: Loss = 0.01246985886245966, lr = [6.25e-06] +[2024-05-17 03:58:48,635] - INFO: Epoch 2400/9999, Iter 119980: Loss = 0.010057316161692142, lr = [6.25e-06] +[2024-05-17 03:59:05,026] - INFO: Evaluate at epoch 2400! +[2024-05-17 03:59:08,635] - INFO: Eval PSNR (max): 38.003 (2355) SSIM (max): 0.9608 (2355) +[2024-05-17 03:59:08,635] - INFO: Eval PSNR (current): 37.990 (2400) SSIM (current): 0.9608 (2400) +[2024-05-17 03:59:08,636] - INFO: Evaluation over. +[2024-05-17 03:59:14,683] - INFO: Epoch 2401/9999, Iter 120000: Loss = 0.010640990920364857, lr = [6.25e-06] +[2024-05-17 03:59:32,812] - INFO: Epoch 2401/9999, Iter 120020: Loss = 0.015163550153374672, lr = [6.25e-06] +[2024-05-17 03:59:49,837] - INFO: Epoch 2401/9999, Iter 120040: Loss = 0.011457336135208607, lr = [6.25e-06] +[2024-05-17 04:00:08,713] - INFO: Epoch 2402/9999, Iter 120060: Loss = 0.011469114571809769, lr = [6.25e-06] +[2024-05-17 04:00:27,320] - INFO: Epoch 2402/9999, Iter 120080: Loss = 0.010454720817506313, lr = [6.25e-06] +[2024-05-17 04:00:46,623] - INFO: Epoch 2403/9999, Iter 120100: Loss = 0.013497481122612953, lr = [6.25e-06] +[2024-05-17 04:01:04,547] - INFO: Epoch 2403/9999, Iter 120120: Loss = 0.014305470511317253, lr = [6.25e-06] +[2024-05-17 04:01:22,071] - INFO: Epoch 2403/9999, Iter 120140: Loss = 0.012512058019638062, lr = [6.25e-06] +[2024-05-17 04:01:41,249] - INFO: Epoch 2404/9999, Iter 120160: Loss = 0.007997076027095318, lr = [6.25e-06] +[2024-05-17 04:01:58,918] - INFO: Epoch 2404/9999, Iter 120180: Loss = 0.009799515828490257, lr = [6.25e-06] +[2024-05-17 04:02:18,047] - INFO: Epoch 2405/9999, Iter 120200: Loss = 0.008193837478756905, lr = [6.25e-06] +[2024-05-17 04:02:34,983] - INFO: Epoch 2405/9999, Iter 120220: Loss = 0.00948250200599432, lr = [6.25e-06] +[2024-05-17 04:02:53,396] - INFO: Epoch 2405/9999, Iter 120240: Loss = 0.016106778755784035, lr = [6.25e-06] +[2024-05-17 04:03:01,291] - INFO: Evaluate at epoch 2405! +[2024-05-17 04:03:04,796] - INFO: Eval PSNR (max): 38.003 (2355) SSIM (max): 0.9608 (2355) +[2024-05-17 04:03:04,796] - INFO: Eval PSNR (current): 37.976 (2405) SSIM (current): 0.9608 (2405) +[2024-05-17 04:03:04,796] - INFO: Evaluation over. +[2024-05-17 04:03:19,881] - INFO: Epoch 2406/9999, Iter 120260: Loss = 0.013387435115873814, lr = [6.25e-06] +[2024-05-17 04:03:38,044] - INFO: Epoch 2406/9999, Iter 120280: Loss = 0.012141002342104912, lr = [6.25e-06] +[2024-05-17 04:03:57,044] - INFO: Epoch 2407/9999, Iter 120300: Loss = 0.008590713143348694, lr = [6.25e-06] +[2024-05-17 04:04:15,134] - INFO: Epoch 2407/9999, Iter 120320: Loss = 0.013501047156751156, lr = [6.25e-06] +[2024-05-17 04:04:33,204] - INFO: Epoch 2407/9999, Iter 120340: Loss = 0.008210469968616962, lr = [6.25e-06] +[2024-05-17 04:04:52,486] - INFO: Epoch 2408/9999, Iter 120360: Loss = 0.012841872870922089, lr = [6.25e-06] +[2024-05-17 04:05:09,944] - INFO: Epoch 2408/9999, Iter 120380: Loss = 0.017682336270809174, lr = [6.25e-06] +[2024-05-17 04:05:28,788] - INFO: Epoch 2409/9999, Iter 120400: Loss = 0.012403481639921665, lr = [6.25e-06] +[2024-05-17 04:05:46,637] - INFO: Epoch 2409/9999, Iter 120420: Loss = 0.013921797275543213, lr = [6.25e-06] +[2024-05-17 04:06:03,865] - INFO: Epoch 2409/9999, Iter 120440: Loss = 0.019556500017642975, lr = [6.25e-06] +[2024-05-17 04:06:23,313] - INFO: Epoch 2410/9999, Iter 120460: Loss = 0.014121226035058498, lr = [6.25e-06] +[2024-05-17 04:06:41,840] - INFO: Epoch 2410/9999, Iter 120480: Loss = 0.011663198471069336, lr = [6.25e-06] +[2024-05-17 04:06:58,121] - INFO: Evaluate at epoch 2410! +[2024-05-17 04:07:01,630] - INFO: Eval PSNR (max): 38.003 (2355) SSIM (max): 0.9608 (2355) +[2024-05-17 04:07:01,631] - INFO: Eval PSNR (current): 37.993 (2410) SSIM (current): 0.9608 (2410) +[2024-05-17 04:07:01,631] - INFO: Evaluation over. +[2024-05-17 04:07:07,606] - INFO: Epoch 2411/9999, Iter 120500: Loss = 0.01919405162334442, lr = [6.25e-06] +[2024-05-17 04:07:24,930] - INFO: Epoch 2411/9999, Iter 120520: Loss = 0.011380353942513466, lr = [6.25e-06] +[2024-05-17 04:07:42,308] - INFO: Epoch 2411/9999, Iter 120540: Loss = 0.015607833862304688, lr = [6.25e-06] +[2024-05-17 04:08:01,738] - INFO: Epoch 2412/9999, Iter 120560: Loss = 0.008067627437412739, lr = [6.25e-06] +[2024-05-17 04:08:20,024] - INFO: Epoch 2412/9999, Iter 120580: Loss = 0.012936956249177456, lr = [6.25e-06] +[2024-05-17 04:08:38,694] - INFO: Epoch 2413/9999, Iter 120600: Loss = 0.017336931079626083, lr = [6.25e-06] +[2024-05-17 04:08:55,672] - INFO: Epoch 2413/9999, Iter 120620: Loss = 0.01294279657304287, lr = [6.25e-06] +[2024-05-17 04:09:12,936] - INFO: Epoch 2413/9999, Iter 120640: Loss = 0.014455324970185757, lr = [6.25e-06] +[2024-05-17 04:09:32,092] - INFO: Epoch 2414/9999, Iter 120660: Loss = 0.00990905798971653, lr = [6.25e-06] +[2024-05-17 04:09:49,440] - INFO: Epoch 2414/9999, Iter 120680: Loss = 0.009025969542562962, lr = [6.25e-06] +[2024-05-17 04:10:07,916] - INFO: Epoch 2415/9999, Iter 120700: Loss = 0.010311484336853027, lr = [6.25e-06] +[2024-05-17 04:10:25,192] - INFO: Epoch 2415/9999, Iter 120720: Loss = 0.010434847325086594, lr = [6.25e-06] +[2024-05-17 04:10:42,051] - INFO: Epoch 2415/9999, Iter 120740: Loss = 0.012617658823728561, lr = [6.25e-06] +[2024-05-17 04:10:50,130] - INFO: Evaluate at epoch 2415! +[2024-05-17 04:10:53,721] - INFO: Eval PSNR (max): 38.003 (2355) SSIM (max): 0.9608 (2355) +[2024-05-17 04:10:53,721] - INFO: Eval PSNR (current): 37.990 (2415) SSIM (current): 0.9608 (2415) +[2024-05-17 04:10:53,721] - INFO: Evaluation over. +[2024-05-17 04:11:08,621] - INFO: Epoch 2416/9999, Iter 120760: Loss = 0.013184664770960808, lr = [6.25e-06] +[2024-05-17 04:11:27,011] - INFO: Epoch 2416/9999, Iter 120780: Loss = 0.011501510627567768, lr = [6.25e-06] +[2024-05-17 04:11:46,061] - INFO: Epoch 2417/9999, Iter 120800: Loss = 0.013164270669221878, lr = [6.25e-06] +[2024-05-17 04:12:04,271] - INFO: Epoch 2417/9999, Iter 120820: Loss = 0.012622148729860783, lr = [6.25e-06] +[2024-05-17 04:12:22,642] - INFO: Epoch 2417/9999, Iter 120840: Loss = 0.013308608904480934, lr = [6.25e-06] +[2024-05-17 04:12:41,808] - INFO: Epoch 2418/9999, Iter 120860: Loss = 0.010223917663097382, lr = [6.25e-06] +[2024-05-17 04:12:59,400] - INFO: Epoch 2418/9999, Iter 120880: Loss = 0.01229041162878275, lr = [6.25e-06] +[2024-05-17 04:13:18,096] - INFO: Epoch 2419/9999, Iter 120900: Loss = 0.013923739083111286, lr = [6.25e-06] +[2024-05-17 04:13:35,470] - INFO: Epoch 2419/9999, Iter 120920: Loss = 0.013800384476780891, lr = [6.25e-06] +[2024-05-17 04:13:53,404] - INFO: Epoch 2419/9999, Iter 120940: Loss = 0.008609413169324398, lr = [6.25e-06] +[2024-05-17 04:14:12,199] - INFO: Epoch 2420/9999, Iter 120960: Loss = 0.01369511615484953, lr = [6.25e-06] +[2024-05-17 04:14:30,681] - INFO: Epoch 2420/9999, Iter 120980: Loss = 0.015468183904886246, lr = [6.25e-06] +[2024-05-17 04:14:47,293] - INFO: Evaluate at epoch 2420! +[2024-05-17 04:14:50,985] - INFO: Eval PSNR (max): 38.003 (2355) SSIM (max): 0.9608 (2355) +[2024-05-17 04:14:50,985] - INFO: Eval PSNR (current): 37.987 (2420) SSIM (current): 0.9608 (2420) +[2024-05-17 04:14:50,985] - INFO: Evaluation over. +[2024-05-17 04:14:56,951] - INFO: Epoch 2421/9999, Iter 121000: Loss = 0.012298575602471828, lr = [6.25e-06] +[2024-05-17 04:15:14,572] - INFO: Epoch 2421/9999, Iter 121020: Loss = 0.013693533837795258, lr = [6.25e-06] +[2024-05-17 04:15:32,616] - INFO: Epoch 2421/9999, Iter 121040: Loss = 0.012749780900776386, lr = [6.25e-06] +[2024-05-17 04:15:51,539] - INFO: Epoch 2422/9999, Iter 121060: Loss = 0.017848705872893333, lr = [6.25e-06] +[2024-05-17 04:16:09,924] - INFO: Epoch 2422/9999, Iter 121080: Loss = 0.01284745056182146, lr = [6.25e-06] +[2024-05-17 04:16:28,576] - INFO: Epoch 2423/9999, Iter 121100: Loss = 0.012481317855417728, lr = [6.25e-06] +[2024-05-17 04:16:45,300] - INFO: Epoch 2423/9999, Iter 121120: Loss = 0.011210822500288486, lr = [6.25e-06] +[2024-05-17 04:17:03,700] - INFO: Epoch 2423/9999, Iter 121140: Loss = 0.011397557333111763, lr = [6.25e-06] +[2024-05-17 04:17:22,272] - INFO: Epoch 2424/9999, Iter 121160: Loss = 0.012171891517937183, lr = [6.25e-06] +[2024-05-17 04:17:40,518] - INFO: Epoch 2424/9999, Iter 121180: Loss = 0.010295950807631016, lr = [6.25e-06] +[2024-05-17 04:17:59,532] - INFO: Epoch 2425/9999, Iter 121200: Loss = 0.01615086942911148, lr = [6.25e-06] +[2024-05-17 04:18:17,049] - INFO: Epoch 2425/9999, Iter 121220: Loss = 0.010584323666989803, lr = [6.25e-06] +[2024-05-17 04:18:34,536] - INFO: Epoch 2425/9999, Iter 121240: Loss = 0.015084434300661087, lr = [6.25e-06] +[2024-05-17 04:18:42,347] - INFO: Evaluate at epoch 2425! +[2024-05-17 04:18:45,717] - INFO: Eval PSNR (max): 38.003 (2355) SSIM (max): 0.9608 (2355) +[2024-05-17 04:18:45,717] - INFO: Eval PSNR (current): 37.985 (2425) SSIM (current): 0.9608 (2425) +[2024-05-17 04:18:45,717] - INFO: Evaluation over. +[2024-05-17 04:19:00,824] - INFO: Epoch 2426/9999, Iter 121260: Loss = 0.010526505298912525, lr = [6.25e-06] +[2024-05-17 04:19:19,321] - INFO: Epoch 2426/9999, Iter 121280: Loss = 0.011557559482753277, lr = [6.25e-06] +[2024-05-17 04:19:38,226] - INFO: Epoch 2427/9999, Iter 121300: Loss = 0.013149348087608814, lr = [6.25e-06] +[2024-05-17 04:19:55,652] - INFO: Epoch 2427/9999, Iter 121320: Loss = 0.014611191116273403, lr = [6.25e-06] +[2024-05-17 04:20:12,799] - INFO: Epoch 2427/9999, Iter 121340: Loss = 0.013319159857928753, lr = [6.25e-06] +[2024-05-17 04:20:32,315] - INFO: Epoch 2428/9999, Iter 121360: Loss = 0.012053946033120155, lr = [6.25e-06] +[2024-05-17 04:20:50,696] - INFO: Epoch 2428/9999, Iter 121380: Loss = 0.011059184558689594, lr = [6.25e-06] +[2024-05-17 04:21:09,592] - INFO: Epoch 2429/9999, Iter 121400: Loss = 0.012538897804915905, lr = [6.25e-06] +[2024-05-17 04:21:26,710] - INFO: Epoch 2429/9999, Iter 121420: Loss = 0.011621992103755474, lr = [6.25e-06] +[2024-05-17 04:21:44,360] - INFO: Epoch 2429/9999, Iter 121440: Loss = 0.012958602979779243, lr = [6.25e-06] +[2024-05-17 04:22:03,528] - INFO: Epoch 2430/9999, Iter 121460: Loss = 0.008971432223916054, lr = [6.25e-06] +[2024-05-17 04:22:21,964] - INFO: Epoch 2430/9999, Iter 121480: Loss = 0.010443335399031639, lr = [6.25e-06] +[2024-05-17 04:22:38,779] - INFO: Evaluate at epoch 2430! +[2024-05-17 04:22:42,136] - INFO: Eval PSNR (max): 38.003 (2355) SSIM (max): 0.9608 (2355) +[2024-05-17 04:22:42,136] - INFO: Eval PSNR (current): 37.996 (2430) SSIM (current): 0.9608 (2430) +[2024-05-17 04:22:42,136] - INFO: Evaluation over. +[2024-05-17 04:22:48,247] - INFO: Epoch 2431/9999, Iter 121500: Loss = 0.02151665650308132, lr = [6.25e-06] +[2024-05-17 04:23:06,344] - INFO: Epoch 2431/9999, Iter 121520: Loss = 0.016614407300949097, lr = [6.25e-06] +[2024-05-17 04:23:24,200] - INFO: Epoch 2431/9999, Iter 121540: Loss = 0.014940857887268066, lr = [6.25e-06] +[2024-05-17 04:23:43,236] - INFO: Epoch 2432/9999, Iter 121560: Loss = 0.00972864218056202, lr = [6.25e-06] +[2024-05-17 04:24:00,784] - INFO: Epoch 2432/9999, Iter 121580: Loss = 0.014800007455050945, lr = [6.25e-06] +[2024-05-17 04:24:20,047] - INFO: Epoch 2433/9999, Iter 121600: Loss = 0.009789627976715565, lr = [6.25e-06] +[2024-05-17 04:24:38,068] - INFO: Epoch 2433/9999, Iter 121620: Loss = 0.012062670662999153, lr = [6.25e-06] +[2024-05-17 04:24:55,986] - INFO: Epoch 2433/9999, Iter 121640: Loss = 0.01063414104282856, lr = [6.25e-06] +[2024-05-17 04:25:14,522] - INFO: Epoch 2434/9999, Iter 121660: Loss = 0.012410465627908707, lr = [6.25e-06] +[2024-05-17 04:25:32,687] - INFO: Epoch 2434/9999, Iter 121680: Loss = 0.013096185401082039, lr = [6.25e-06] +[2024-05-17 04:25:51,692] - INFO: Epoch 2435/9999, Iter 121700: Loss = 0.008997472003102303, lr = [6.25e-06] +[2024-05-17 04:26:09,263] - INFO: Epoch 2435/9999, Iter 121720: Loss = 0.012451635673642159, lr = [6.25e-06] +[2024-05-17 04:26:27,752] - INFO: Epoch 2435/9999, Iter 121740: Loss = 0.010349521413445473, lr = [6.25e-06] +[2024-05-17 04:26:35,315] - INFO: Evaluate at epoch 2435! +[2024-05-17 04:26:38,806] - INFO: Eval PSNR (max): 38.003 (2355) SSIM (max): 0.9608 (2355) +[2024-05-17 04:26:38,806] - INFO: Eval PSNR (current): 37.988 (2435) SSIM (current): 0.9608 (2435) +[2024-05-17 04:26:38,806] - INFO: Evaluation over. +[2024-05-17 04:26:53,480] - INFO: Epoch 2436/9999, Iter 121760: Loss = 0.010976098477840424, lr = [6.25e-06] +[2024-05-17 04:27:13,253] - INFO: Epoch 2436/9999, Iter 121780: Loss = 0.010166078805923462, lr = [6.25e-06] +[2024-05-17 04:27:32,581] - INFO: Epoch 2437/9999, Iter 121800: Loss = 0.009883878752589226, lr = [6.25e-06] +[2024-05-17 04:27:50,438] - INFO: Epoch 2437/9999, Iter 121820: Loss = 0.007923449389636517, lr = [6.25e-06] +[2024-05-17 04:28:09,065] - INFO: Epoch 2437/9999, Iter 121840: Loss = 0.011461138725280762, lr = [6.25e-06] +[2024-05-17 04:28:27,398] - INFO: Epoch 2438/9999, Iter 121860: Loss = 0.010548420250415802, lr = [6.25e-06] +[2024-05-17 04:28:45,114] - INFO: Epoch 2438/9999, Iter 121880: Loss = 0.015147197991609573, lr = [6.25e-06] +[2024-05-17 04:29:04,438] - INFO: Epoch 2439/9999, Iter 121900: Loss = 0.01703810878098011, lr = [6.25e-06] +[2024-05-17 04:29:21,745] - INFO: Epoch 2439/9999, Iter 121920: Loss = 0.012914920225739479, lr = [6.25e-06] +[2024-05-17 04:29:40,265] - INFO: Epoch 2439/9999, Iter 121940: Loss = 0.013638719916343689, lr = [6.25e-06] +[2024-05-17 04:29:59,484] - INFO: Epoch 2440/9999, Iter 121960: Loss = 0.014839671552181244, lr = [6.25e-06] +[2024-05-17 04:30:17,449] - INFO: Epoch 2440/9999, Iter 121980: Loss = 0.015619182027876377, lr = [6.25e-06] +[2024-05-17 04:30:34,311] - INFO: Evaluate at epoch 2440! +[2024-05-17 04:30:37,624] - INFO: Eval PSNR (max): 38.003 (2355) SSIM (max): 0.9608 (2355) +[2024-05-17 04:30:37,624] - INFO: Eval PSNR (current): 37.982 (2440) SSIM (current): 0.9608 (2440) +[2024-05-17 04:30:37,625] - INFO: Evaluation over. +[2024-05-17 04:30:43,452] - INFO: Epoch 2441/9999, Iter 122000: Loss = 0.01250629872083664, lr = [6.25e-06] +[2024-05-17 04:31:01,126] - INFO: Epoch 2441/9999, Iter 122020: Loss = 0.017401233315467834, lr = [6.25e-06] +[2024-05-17 04:31:18,752] - INFO: Epoch 2441/9999, Iter 122040: Loss = 0.01286318339407444, lr = [6.25e-06] +[2024-05-17 04:31:38,328] - INFO: Epoch 2442/9999, Iter 122060: Loss = 0.014973340556025505, lr = [6.25e-06] +[2024-05-17 04:31:56,818] - INFO: Epoch 2442/9999, Iter 122080: Loss = 0.01653525047004223, lr = [6.25e-06] +[2024-05-17 04:32:15,604] - INFO: Epoch 2443/9999, Iter 122100: Loss = 0.011730740778148174, lr = [6.25e-06] +[2024-05-17 04:32:32,788] - INFO: Epoch 2443/9999, Iter 122120: Loss = 0.012471942231059074, lr = [6.25e-06] +[2024-05-17 04:32:50,400] - INFO: Epoch 2443/9999, Iter 122140: Loss = 0.010727105662226677, lr = [6.25e-06] +[2024-05-17 04:33:09,449] - INFO: Epoch 2444/9999, Iter 122160: Loss = 0.013016987591981888, lr = [6.25e-06] +[2024-05-17 04:33:27,488] - INFO: Epoch 2444/9999, Iter 122180: Loss = 0.012762472033500671, lr = [6.25e-06] +[2024-05-17 04:33:46,385] - INFO: Epoch 2445/9999, Iter 122200: Loss = 0.012578975409269333, lr = [6.25e-06] +[2024-05-17 04:34:04,239] - INFO: Epoch 2445/9999, Iter 122220: Loss = 0.010540039278566837, lr = [6.25e-06] +[2024-05-17 04:34:22,054] - INFO: Epoch 2445/9999, Iter 122240: Loss = 0.012737658806145191, lr = [6.25e-06] +[2024-05-17 04:34:29,951] - INFO: Evaluate at epoch 2445! +[2024-05-17 04:34:33,503] - INFO: Eval PSNR (max): 38.003 (2355) SSIM (max): 0.9608 (2355) +[2024-05-17 04:34:33,503] - INFO: Eval PSNR (current): 37.987 (2445) SSIM (current): 0.9608 (2445) +[2024-05-17 04:34:33,503] - INFO: Evaluation over. +[2024-05-17 04:34:48,224] - INFO: Epoch 2446/9999, Iter 122260: Loss = 0.012479887343943119, lr = [6.25e-06] +[2024-05-17 04:35:06,134] - INFO: Epoch 2446/9999, Iter 122280: Loss = 0.012869416736066341, lr = [6.25e-06] +[2024-05-17 04:35:25,256] - INFO: Epoch 2447/9999, Iter 122300: Loss = 0.010356408543884754, lr = [6.25e-06] +[2024-05-17 04:35:42,549] - INFO: Epoch 2447/9999, Iter 122320: Loss = 0.01233016885817051, lr = [6.25e-06] +[2024-05-17 04:36:00,900] - INFO: Epoch 2447/9999, Iter 122340: Loss = 0.014147758483886719, lr = [6.25e-06] +[2024-05-17 04:36:19,712] - INFO: Epoch 2448/9999, Iter 122360: Loss = 0.011533034965395927, lr = [6.25e-06] +[2024-05-17 04:36:37,070] - INFO: Epoch 2448/9999, Iter 122380: Loss = 0.01254719216376543, lr = [6.25e-06] +[2024-05-17 04:36:56,260] - INFO: Epoch 2449/9999, Iter 122400: Loss = 0.01858900673687458, lr = [6.25e-06] +[2024-05-17 04:37:14,298] - INFO: Epoch 2449/9999, Iter 122420: Loss = 0.013487725518643856, lr = [6.25e-06] +[2024-05-17 04:37:32,827] - INFO: Epoch 2449/9999, Iter 122440: Loss = 0.011991254985332489, lr = [6.25e-06] +[2024-05-17 04:37:51,716] - INFO: Epoch 2450/9999, Iter 122460: Loss = 0.013811863027513027, lr = [6.25e-06] +[2024-05-17 04:38:10,585] - INFO: Epoch 2450/9999, Iter 122480: Loss = 0.018728576600551605, lr = [6.25e-06] +[2024-05-17 04:38:26,693] - INFO: Evaluate at epoch 2450! +[2024-05-17 04:38:30,099] - INFO: Eval PSNR (max): 38.003 (2355) SSIM (max): 0.9608 (2355) +[2024-05-17 04:38:30,099] - INFO: Eval PSNR (current): 37.985 (2450) SSIM (current): 0.9608 (2450) +[2024-05-17 04:38:30,099] - INFO: Evaluation over. +[2024-05-17 04:38:36,227] - INFO: Epoch 2451/9999, Iter 122500: Loss = 0.00820292066782713, lr = [6.25e-06] +[2024-05-17 04:38:53,284] - INFO: Epoch 2451/9999, Iter 122520: Loss = 0.01662151888012886, lr = [6.25e-06] +[2024-05-17 04:39:11,048] - INFO: Epoch 2451/9999, Iter 122540: Loss = 0.011649345979094505, lr = [6.25e-06] +[2024-05-17 04:39:30,644] - INFO: Epoch 2452/9999, Iter 122560: Loss = 0.011095563881099224, lr = [6.25e-06] +[2024-05-17 04:39:49,037] - INFO: Epoch 2452/9999, Iter 122580: Loss = 0.00832096766680479, lr = [6.25e-06] +[2024-05-17 04:40:07,936] - INFO: Epoch 2453/9999, Iter 122600: Loss = 0.013571932911872864, lr = [6.25e-06] +[2024-05-17 04:40:25,765] - INFO: Epoch 2453/9999, Iter 122620: Loss = 0.012589393183588982, lr = [6.25e-06] +[2024-05-17 04:40:43,755] - INFO: Epoch 2453/9999, Iter 122640: Loss = 0.012751709669828415, lr = [6.25e-06] +[2024-05-17 04:41:02,679] - INFO: Epoch 2454/9999, Iter 122660: Loss = 0.01581120304763317, lr = [6.25e-06] +[2024-05-17 04:41:20,079] - INFO: Epoch 2454/9999, Iter 122680: Loss = 0.01512495893985033, lr = [6.25e-06] +[2024-05-17 04:41:39,604] - INFO: Epoch 2455/9999, Iter 122700: Loss = 0.007356610614806414, lr = [6.25e-06] +[2024-05-17 04:41:57,614] - INFO: Epoch 2455/9999, Iter 122720: Loss = 0.009640618227422237, lr = [6.25e-06] +[2024-05-17 04:42:15,669] - INFO: Epoch 2455/9999, Iter 122740: Loss = 0.01849261112511158, lr = [6.25e-06] +[2024-05-17 04:42:23,364] - INFO: Evaluate at epoch 2455! +[2024-05-17 04:42:26,953] - INFO: Eval PSNR (max): 38.003 (2355) SSIM (max): 0.9608 (2355) +[2024-05-17 04:42:26,953] - INFO: Eval PSNR (current): 37.979 (2455) SSIM (current): 0.9608 (2455) +[2024-05-17 04:42:26,953] - INFO: Evaluation over. +[2024-05-17 04:42:42,052] - INFO: Epoch 2456/9999, Iter 122760: Loss = 0.016162989661097527, lr = [6.25e-06] +[2024-05-17 04:43:00,233] - INFO: Epoch 2456/9999, Iter 122780: Loss = 0.017099015414714813, lr = [6.25e-06] +[2024-05-17 04:43:19,301] - INFO: Epoch 2457/9999, Iter 122800: Loss = 0.011403059586882591, lr = [6.25e-06] +[2024-05-17 04:43:36,280] - INFO: Epoch 2457/9999, Iter 122820: Loss = 0.01274080015718937, lr = [6.25e-06] +[2024-05-17 04:43:54,404] - INFO: Epoch 2457/9999, Iter 122840: Loss = 0.010783500969409943, lr = [6.25e-06] +[2024-05-17 04:44:13,417] - INFO: Epoch 2458/9999, Iter 122860: Loss = 0.01716054230928421, lr = [6.25e-06] +[2024-05-17 04:44:31,072] - INFO: Epoch 2458/9999, Iter 122880: Loss = 0.01765456423163414, lr = [6.25e-06] +[2024-05-17 04:44:50,506] - INFO: Epoch 2459/9999, Iter 122900: Loss = 0.01775953732430935, lr = [6.25e-06] +[2024-05-17 04:45:07,955] - INFO: Epoch 2459/9999, Iter 122920: Loss = 0.02025558054447174, lr = [6.25e-06] +[2024-05-17 04:45:24,768] - INFO: Epoch 2459/9999, Iter 122940: Loss = 0.006707934197038412, lr = [6.25e-06] +[2024-05-17 04:45:44,049] - INFO: Epoch 2460/9999, Iter 122960: Loss = 0.012152857147157192, lr = [6.25e-06] +[2024-05-17 04:46:01,035] - INFO: Epoch 2460/9999, Iter 122980: Loss = 0.012800430878996849, lr = [6.25e-06] +[2024-05-17 04:46:18,001] - INFO: Evaluate at epoch 2460! +[2024-05-17 04:46:21,353] - INFO: Eval PSNR (max): 38.003 (2355) SSIM (max): 0.9608 (2355) +[2024-05-17 04:46:21,353] - INFO: Eval PSNR (current): 37.996 (2460) SSIM (current): 0.9608 (2460) +[2024-05-17 04:46:21,353] - INFO: Evaluation over. +[2024-05-17 04:46:27,229] - INFO: Epoch 2461/9999, Iter 123000: Loss = 0.011251394636929035, lr = [6.25e-06] +[2024-05-17 04:46:45,636] - INFO: Epoch 2461/9999, Iter 123020: Loss = 0.011193816550076008, lr = [6.25e-06] +[2024-05-17 04:47:03,016] - INFO: Epoch 2461/9999, Iter 123040: Loss = 0.010574731975793839, lr = [6.25e-06] +[2024-05-17 04:47:21,500] - INFO: Epoch 2462/9999, Iter 123060: Loss = 0.012728541158139706, lr = [6.25e-06] +[2024-05-17 04:47:38,724] - INFO: Epoch 2462/9999, Iter 123080: Loss = 0.010220938362181187, lr = [6.25e-06] +[2024-05-17 04:47:58,057] - INFO: Epoch 2463/9999, Iter 123100: Loss = 0.007904406636953354, lr = [6.25e-06] +[2024-05-17 04:48:15,991] - INFO: Epoch 2463/9999, Iter 123120: Loss = 0.014654004946351051, lr = [6.25e-06] +[2024-05-17 04:48:34,168] - INFO: Epoch 2463/9999, Iter 123140: Loss = 0.019659895449876785, lr = [6.25e-06] +[2024-05-17 04:48:53,719] - INFO: Epoch 2464/9999, Iter 123160: Loss = 0.011578884907066822, lr = [6.25e-06] +[2024-05-17 04:49:11,540] - INFO: Epoch 2464/9999, Iter 123180: Loss = 0.01265549473464489, lr = [6.25e-06] +[2024-05-17 04:49:30,598] - INFO: Epoch 2465/9999, Iter 123200: Loss = 0.020350661128759384, lr = [6.25e-06] +[2024-05-17 04:49:48,033] - INFO: Epoch 2465/9999, Iter 123220: Loss = 0.013118580915033817, lr = [6.25e-06] +[2024-05-17 04:50:06,403] - INFO: Epoch 2465/9999, Iter 123240: Loss = 0.008321620523929596, lr = [6.25e-06] +[2024-05-17 04:50:14,125] - INFO: Evaluate at epoch 2465! +[2024-05-17 04:50:17,526] - INFO: Eval PSNR (max): 38.003 (2355) SSIM (max): 0.9608 (2355) +[2024-05-17 04:50:17,527] - INFO: Eval PSNR (current): 37.990 (2465) SSIM (current): 0.9608 (2465) +[2024-05-17 04:50:17,527] - INFO: Evaluation over. +[2024-05-17 04:50:32,217] - INFO: Epoch 2466/9999, Iter 123260: Loss = 0.014458583667874336, lr = [6.25e-06] +[2024-05-17 04:50:49,352] - INFO: Epoch 2466/9999, Iter 123280: Loss = 0.017356127500534058, lr = [6.25e-06] +[2024-05-17 04:51:08,479] - INFO: Epoch 2467/9999, Iter 123300: Loss = 0.009315620176494122, lr = [6.25e-06] +[2024-05-17 04:51:26,124] - INFO: Epoch 2467/9999, Iter 123320: Loss = 0.011325407773256302, lr = [6.25e-06] +[2024-05-17 04:51:43,778] - INFO: Epoch 2467/9999, Iter 123340: Loss = 0.010902190580964088, lr = [6.25e-06] +[2024-05-17 04:52:02,703] - INFO: Epoch 2468/9999, Iter 123360: Loss = 0.009850628674030304, lr = [6.25e-06] +[2024-05-17 04:52:20,741] - INFO: Epoch 2468/9999, Iter 123380: Loss = 0.015958506613969803, lr = [6.25e-06] +[2024-05-17 04:52:39,404] - INFO: Epoch 2469/9999, Iter 123400: Loss = 0.01241539791226387, lr = [6.25e-06] +[2024-05-17 04:52:57,437] - INFO: Epoch 2469/9999, Iter 123420: Loss = 0.013581465929746628, lr = [6.25e-06] +[2024-05-17 04:53:14,698] - INFO: Epoch 2469/9999, Iter 123440: Loss = 0.010198389180004597, lr = [6.25e-06] +[2024-05-17 04:53:33,500] - INFO: Epoch 2470/9999, Iter 123460: Loss = 0.017731426283717155, lr = [6.25e-06] +[2024-05-17 04:53:50,780] - INFO: Epoch 2470/9999, Iter 123480: Loss = 0.019443223252892494, lr = [6.25e-06] +[2024-05-17 04:54:07,068] - INFO: Evaluate at epoch 2470! +[2024-05-17 04:54:10,680] - INFO: Eval PSNR (max): 38.003 (2355) SSIM (max): 0.9608 (2355) +[2024-05-17 04:54:10,681] - INFO: Eval PSNR (current): 37.986 (2470) SSIM (current): 0.9608 (2470) +[2024-05-17 04:54:10,681] - INFO: Evaluation over. +[2024-05-17 04:54:16,692] - INFO: Epoch 2471/9999, Iter 123500: Loss = 0.016037173569202423, lr = [6.25e-06] +[2024-05-17 04:54:34,751] - INFO: Epoch 2471/9999, Iter 123520: Loss = 0.012657349929213524, lr = [6.25e-06] +[2024-05-17 04:54:52,488] - INFO: Epoch 2471/9999, Iter 123540: Loss = 0.012220795266330242, lr = [6.25e-06] +[2024-05-17 04:55:11,562] - INFO: Epoch 2472/9999, Iter 123560: Loss = 0.012194679118692875, lr = [6.25e-06] +[2024-05-17 04:55:29,124] - INFO: Epoch 2472/9999, Iter 123580: Loss = 0.01757878251373768, lr = [6.25e-06] +[2024-05-17 04:55:48,349] - INFO: Epoch 2473/9999, Iter 123600: Loss = 0.009053290821611881, lr = [6.25e-06] +[2024-05-17 04:56:06,837] - INFO: Epoch 2473/9999, Iter 123620: Loss = 0.011334516108036041, lr = [6.25e-06] +[2024-05-17 04:56:24,694] - INFO: Epoch 2473/9999, Iter 123640: Loss = 0.013892523013055325, lr = [6.25e-06] +[2024-05-17 04:56:42,672] - INFO: Epoch 2474/9999, Iter 123660: Loss = 0.007934974506497383, lr = [6.25e-06] +[2024-05-17 04:57:00,859] - INFO: Epoch 2474/9999, Iter 123680: Loss = 0.008955691941082478, lr = [6.25e-06] +[2024-05-17 04:57:19,930] - INFO: Epoch 2475/9999, Iter 123700: Loss = 0.00847217720001936, lr = [6.25e-06] +[2024-05-17 04:57:37,212] - INFO: Epoch 2475/9999, Iter 123720: Loss = 0.014450015500187874, lr = [6.25e-06] +[2024-05-17 04:57:54,469] - INFO: Epoch 2475/9999, Iter 123740: Loss = 0.011301526799798012, lr = [6.25e-06] +[2024-05-17 04:58:02,275] - INFO: Evaluate at epoch 2475! +[2024-05-17 04:58:05,851] - INFO: Eval PSNR (max): 38.003 (2355) SSIM (max): 0.9608 (2355) +[2024-05-17 04:58:05,851] - INFO: Eval PSNR (current): 37.997 (2475) SSIM (current): 0.9608 (2475) +[2024-05-17 04:58:05,851] - INFO: Evaluation over. +[2024-05-17 04:58:21,381] - INFO: Epoch 2476/9999, Iter 123760: Loss = 0.011178475804626942, lr = [6.25e-06] +[2024-05-17 04:58:39,250] - INFO: Epoch 2476/9999, Iter 123780: Loss = 0.015304927714169025, lr = [6.25e-06] +[2024-05-17 04:58:58,241] - INFO: Epoch 2477/9999, Iter 123800: Loss = 0.010059202089905739, lr = [6.25e-06] +[2024-05-17 04:59:16,154] - INFO: Epoch 2477/9999, Iter 123820: Loss = 0.013210220262408257, lr = [6.25e-06] +[2024-05-17 04:59:33,882] - INFO: Epoch 2477/9999, Iter 123840: Loss = 0.016972705721855164, lr = [6.25e-06] +[2024-05-17 04:59:52,474] - INFO: Epoch 2478/9999, Iter 123860: Loss = 0.016913678497076035, lr = [6.25e-06] +[2024-05-17 05:00:09,628] - INFO: Epoch 2478/9999, Iter 123880: Loss = 0.016769742593169212, lr = [6.25e-06] +[2024-05-17 05:00:28,522] - INFO: Epoch 2479/9999, Iter 123900: Loss = 0.012283110991120338, lr = [6.25e-06] +[2024-05-17 05:00:45,972] - INFO: Epoch 2479/9999, Iter 123920: Loss = 0.012279856018722057, lr = [6.25e-06] +[2024-05-17 05:01:03,284] - INFO: Epoch 2479/9999, Iter 123940: Loss = 0.012257860973477364, lr = [6.25e-06] +[2024-05-17 05:01:22,036] - INFO: Epoch 2480/9999, Iter 123960: Loss = 0.01484299823641777, lr = [6.25e-06] +[2024-05-17 05:01:39,232] - INFO: Epoch 2480/9999, Iter 123980: Loss = 0.011843127198517323, lr = [6.25e-06] +[2024-05-17 05:01:56,052] - INFO: Evaluate at epoch 2480! +[2024-05-17 05:01:59,584] - INFO: Eval PSNR (max): 38.003 (2355) SSIM (max): 0.9608 (2355) +[2024-05-17 05:01:59,584] - INFO: Eval PSNR (current): 37.997 (2480) SSIM (current): 0.9608 (2480) +[2024-05-17 05:01:59,585] - INFO: Evaluation over. +[2024-05-17 05:02:05,708] - INFO: Epoch 2481/9999, Iter 124000: Loss = 0.021537719294428825, lr = [6.25e-06] +[2024-05-17 05:02:22,840] - INFO: Epoch 2481/9999, Iter 124020: Loss = 0.015632430091500282, lr = [6.25e-06] +[2024-05-17 05:02:39,927] - INFO: Epoch 2481/9999, Iter 124040: Loss = 0.011387087404727936, lr = [6.25e-06] +[2024-05-17 05:02:59,749] - INFO: Epoch 2482/9999, Iter 124060: Loss = 0.009242291562259197, lr = [6.25e-06] +[2024-05-17 05:03:17,571] - INFO: Epoch 2482/9999, Iter 124080: Loss = 0.012759597040712833, lr = [6.25e-06] +[2024-05-17 05:03:36,494] - INFO: Epoch 2483/9999, Iter 124100: Loss = 0.01170186884701252, lr = [6.25e-06] +[2024-05-17 05:03:54,648] - INFO: Epoch 2483/9999, Iter 124120: Loss = 0.010723915882408619, lr = [6.25e-06] +[2024-05-17 05:04:12,492] - INFO: Epoch 2483/9999, Iter 124140: Loss = 0.01734311692416668, lr = [6.25e-06] +[2024-05-17 05:04:30,960] - INFO: Epoch 2484/9999, Iter 124160: Loss = 0.011164736934006214, lr = [6.25e-06] +[2024-05-17 05:04:48,892] - INFO: Epoch 2484/9999, Iter 124180: Loss = 0.010719852522015572, lr = [6.25e-06] +[2024-05-17 05:05:07,881] - INFO: Epoch 2485/9999, Iter 124200: Loss = 0.018295247107744217, lr = [6.25e-06] +[2024-05-17 05:05:26,310] - INFO: Epoch 2485/9999, Iter 124220: Loss = 0.008075601421296597, lr = [6.25e-06] +[2024-05-17 05:05:44,231] - INFO: Epoch 2485/9999, Iter 124240: Loss = 0.017058853060007095, lr = [6.25e-06] +[2024-05-17 05:05:51,909] - INFO: Evaluate at epoch 2485! +[2024-05-17 05:05:55,373] - INFO: Eval PSNR (max): 38.003 (2355) SSIM (max): 0.9608 (2355) +[2024-05-17 05:05:55,373] - INFO: Eval PSNR (current): 37.992 (2485) SSIM (current): 0.9608 (2485) +[2024-05-17 05:05:55,373] - INFO: Evaluation over. +[2024-05-17 05:06:10,250] - INFO: Epoch 2486/9999, Iter 124260: Loss = 0.013265905901789665, lr = [6.25e-06] +[2024-05-17 05:06:28,104] - INFO: Epoch 2486/9999, Iter 124280: Loss = 0.011821061372756958, lr = [6.25e-06] +[2024-05-17 05:06:47,462] - INFO: Epoch 2487/9999, Iter 124300: Loss = 0.017523743212223053, lr = [6.25e-06] +[2024-05-17 05:07:05,732] - INFO: Epoch 2487/9999, Iter 124320: Loss = 0.014423979446291924, lr = [6.25e-06] +[2024-05-17 05:07:23,569] - INFO: Epoch 2487/9999, Iter 124340: Loss = 0.010735038667917252, lr = [6.25e-06] +[2024-05-17 05:07:42,017] - INFO: Epoch 2488/9999, Iter 124360: Loss = 0.013661729171872139, lr = [6.25e-06] +[2024-05-17 05:07:59,058] - INFO: Epoch 2488/9999, Iter 124380: Loss = 0.017022261396050453, lr = [6.25e-06] +[2024-05-17 05:08:18,459] - INFO: Epoch 2489/9999, Iter 124400: Loss = 0.014961631037294865, lr = [6.25e-06] +[2024-05-17 05:08:36,572] - INFO: Epoch 2489/9999, Iter 124420: Loss = 0.012867121957242489, lr = [6.25e-06] +[2024-05-17 05:08:54,564] - INFO: Epoch 2489/9999, Iter 124440: Loss = 0.013505619950592518, lr = [6.25e-06] +[2024-05-17 05:09:13,708] - INFO: Epoch 2490/9999, Iter 124460: Loss = 0.012815400958061218, lr = [6.25e-06] +[2024-05-17 05:09:31,436] - INFO: Epoch 2490/9999, Iter 124480: Loss = 0.008231095969676971, lr = [6.25e-06] +[2024-05-17 05:09:47,851] - INFO: Evaluate at epoch 2490! +[2024-05-17 05:09:51,433] - INFO: Eval PSNR (max): 38.003 (2355) SSIM (max): 0.9608 (2355) +[2024-05-17 05:09:51,434] - INFO: Eval PSNR (current): 38.000 (2490) SSIM (current): 0.9608 (2490) +[2024-05-17 05:09:51,434] - INFO: Evaluation over. +[2024-05-17 05:09:57,569] - INFO: Epoch 2491/9999, Iter 124500: Loss = 0.010052300989627838, lr = [6.25e-06] +[2024-05-17 05:10:15,757] - INFO: Epoch 2491/9999, Iter 124520: Loss = 0.012911957688629627, lr = [6.25e-06] +[2024-05-17 05:10:33,672] - INFO: Epoch 2491/9999, Iter 124540: Loss = 0.01202754769474268, lr = [6.25e-06] +[2024-05-17 05:10:52,519] - INFO: Epoch 2492/9999, Iter 124560: Loss = 0.00859685055911541, lr = [6.25e-06] +[2024-05-17 05:11:10,072] - INFO: Epoch 2492/9999, Iter 124580: Loss = 0.01651090756058693, lr = [6.25e-06] +[2024-05-17 05:11:29,366] - INFO: Epoch 2493/9999, Iter 124600: Loss = 0.0132130803540349, lr = [6.25e-06] +[2024-05-17 05:11:46,933] - INFO: Epoch 2493/9999, Iter 124620: Loss = 0.012062449008226395, lr = [6.25e-06] +[2024-05-17 05:12:04,477] - INFO: Epoch 2493/9999, Iter 124640: Loss = 0.013965862803161144, lr = [6.25e-06] +[2024-05-17 05:12:23,756] - INFO: Epoch 2494/9999, Iter 124660: Loss = 0.01318047009408474, lr = [6.25e-06] +[2024-05-17 05:12:41,639] - INFO: Epoch 2494/9999, Iter 124680: Loss = 0.007762263994663954, lr = [6.25e-06] +[2024-05-17 05:13:00,808] - INFO: Epoch 2495/9999, Iter 124700: Loss = 0.012023058719933033, lr = [6.25e-06] +[2024-05-17 05:13:18,024] - INFO: Epoch 2495/9999, Iter 124720: Loss = 0.011805660091340542, lr = [6.25e-06] +[2024-05-17 05:13:36,196] - INFO: Epoch 2495/9999, Iter 124740: Loss = 0.017634257674217224, lr = [6.25e-06] +[2024-05-17 05:13:43,911] - INFO: Evaluate at epoch 2495! +[2024-05-17 05:13:51,141] - INFO: Eval PSNR (max): 38.003 (2355) SSIM (max): 0.9608 (2495) +[2024-05-17 05:13:51,142] - INFO: Eval PSNR (current): 38.000 (2495) SSIM (current): 0.9608 (2495) +[2024-05-17 05:13:51,142] - INFO: Evaluation over. +[2024-05-17 05:14:06,166] - INFO: Epoch 2496/9999, Iter 124760: Loss = 0.00955573096871376, lr = [6.25e-06] +[2024-05-17 05:14:23,463] - INFO: Epoch 2496/9999, Iter 124780: Loss = 0.010940308682620525, lr = [6.25e-06] +[2024-05-17 05:14:42,460] - INFO: Epoch 2497/9999, Iter 124800: Loss = 0.012938275933265686, lr = [6.25e-06] +[2024-05-17 05:15:00,398] - INFO: Epoch 2497/9999, Iter 124820: Loss = 0.010588865727186203, lr = [6.25e-06] +[2024-05-17 05:15:18,229] - INFO: Epoch 2497/9999, Iter 124840: Loss = 0.008970853872597218, lr = [6.25e-06] +[2024-05-17 05:15:36,580] - INFO: Epoch 2498/9999, Iter 124860: Loss = 0.01588754914700985, lr = [6.25e-06] +[2024-05-17 05:15:54,032] - INFO: Epoch 2498/9999, Iter 124880: Loss = 0.017363907769322395, lr = [6.25e-06] +[2024-05-17 05:16:12,883] - INFO: Epoch 2499/9999, Iter 124900: Loss = 0.01392859872430563, lr = [6.25e-06] +[2024-05-17 05:16:29,545] - INFO: Epoch 2499/9999, Iter 124920: Loss = 0.014463162049651146, lr = [6.25e-06] +[2024-05-17 05:16:47,636] - INFO: Epoch 2499/9999, Iter 124940: Loss = 0.017658879980444908, lr = [6.25e-06] +[2024-05-17 05:17:07,144] - INFO: Epoch 2500/9999, Iter 124960: Loss = 0.013988770544528961, lr = [6.25e-06] +[2024-05-17 05:17:25,289] - INFO: Epoch 2500/9999, Iter 124980: Loss = 0.014196536503732204, lr = [6.25e-06] +[2024-05-17 05:17:42,109] - INFO: Evaluate at epoch 2500! +[2024-05-17 05:17:45,577] - INFO: Eval PSNR (max): 38.003 (2355) SSIM (max): 0.9608 (2495) +[2024-05-17 05:17:45,578] - INFO: Eval PSNR (current): 37.997 (2500) SSIM (current): 0.9608 (2500) +[2024-05-17 05:17:45,578] - INFO: Evaluation over. +[2024-05-17 05:17:51,572] - INFO: Epoch 2501/9999, Iter 125000: Loss = 0.012546508572995663, lr = [6.25e-06] +[2024-05-17 05:18:09,295] - INFO: Epoch 2501/9999, Iter 125020: Loss = 0.012213102541863918, lr = [6.25e-06] +[2024-05-17 05:18:27,451] - INFO: Epoch 2501/9999, Iter 125040: Loss = 0.01566687412559986, lr = [6.25e-06] +[2024-05-17 05:18:46,196] - INFO: Epoch 2502/9999, Iter 125060: Loss = 0.010659150779247284, lr = [6.25e-06] +[2024-05-17 05:19:03,584] - INFO: Epoch 2502/9999, Iter 125080: Loss = 0.012530898675322533, lr = [6.25e-06] +[2024-05-17 05:19:22,425] - INFO: Epoch 2503/9999, Iter 125100: Loss = 0.010939200408756733, lr = [6.25e-06] +[2024-05-17 05:19:39,690] - INFO: Epoch 2503/9999, Iter 125120: Loss = 0.011561176739633083, lr = [6.25e-06] +[2024-05-17 05:19:56,751] - INFO: Epoch 2503/9999, Iter 125140: Loss = 0.015789451077580452, lr = [6.25e-06] +[2024-05-17 05:20:15,884] - INFO: Epoch 2504/9999, Iter 125160: Loss = 0.008378579281270504, lr = [6.25e-06] +[2024-05-17 05:20:33,329] - INFO: Epoch 2504/9999, Iter 125180: Loss = 0.017259929329156876, lr = [6.25e-06] +[2024-05-17 05:20:52,474] - INFO: Epoch 2505/9999, Iter 125200: Loss = 0.011615384370088577, lr = [6.25e-06] +[2024-05-17 05:21:10,062] - INFO: Epoch 2505/9999, Iter 125220: Loss = 0.016612321138381958, lr = [6.25e-06] +[2024-05-17 05:21:27,713] - INFO: Epoch 2505/9999, Iter 125240: Loss = 0.011288420297205448, lr = [6.25e-06] +[2024-05-17 05:21:35,694] - INFO: Evaluate at epoch 2505! +[2024-05-17 05:21:39,087] - INFO: Eval PSNR (max): 38.003 (2355) SSIM (max): 0.9608 (2495) +[2024-05-17 05:21:39,087] - INFO: Eval PSNR (current): 37.996 (2505) SSIM (current): 0.9608 (2505) +[2024-05-17 05:21:39,087] - INFO: Evaluation over. +[2024-05-17 05:21:54,596] - INFO: Epoch 2506/9999, Iter 125260: Loss = 0.011805964633822441, lr = [6.25e-06] +[2024-05-17 05:22:12,220] - INFO: Epoch 2506/9999, Iter 125280: Loss = 0.020062614232301712, lr = [6.25e-06] +[2024-05-17 05:22:31,527] - INFO: Epoch 2507/9999, Iter 125300: Loss = 0.0105329230427742, lr = [6.25e-06] +[2024-05-17 05:22:49,549] - INFO: Epoch 2507/9999, Iter 125320: Loss = 0.011282684281468391, lr = [6.25e-06] +[2024-05-17 05:23:06,976] - INFO: Epoch 2507/9999, Iter 125340: Loss = 0.018445583060383797, lr = [6.25e-06] +[2024-05-17 05:23:25,508] - INFO: Epoch 2508/9999, Iter 125360: Loss = 0.014437351375818253, lr = [6.25e-06] +[2024-05-17 05:23:42,798] - INFO: Epoch 2508/9999, Iter 125380: Loss = 0.013785697519779205, lr = [6.25e-06] +[2024-05-17 05:24:02,424] - INFO: Epoch 2509/9999, Iter 125400: Loss = 0.01563422381877899, lr = [6.25e-06] +[2024-05-17 05:24:19,470] - INFO: Epoch 2509/9999, Iter 125420: Loss = 0.007799043785780668, lr = [6.25e-06] +[2024-05-17 05:24:36,740] - INFO: Epoch 2509/9999, Iter 125440: Loss = 0.019436392933130264, lr = [6.25e-06] +[2024-05-17 05:24:55,199] - INFO: Epoch 2510/9999, Iter 125460: Loss = 0.012455737218260765, lr = [6.25e-06] +[2024-05-17 05:25:12,613] - INFO: Epoch 2510/9999, Iter 125480: Loss = 0.011795633472502232, lr = [6.25e-06] +[2024-05-17 05:25:29,423] - INFO: Evaluate at epoch 2510! +[2024-05-17 05:25:32,866] - INFO: Eval PSNR (max): 38.003 (2355) SSIM (max): 0.9608 (2495) +[2024-05-17 05:25:32,866] - INFO: Eval PSNR (current): 37.992 (2510) SSIM (current): 0.9608 (2510) +[2024-05-17 05:25:32,866] - INFO: Evaluation over. +[2024-05-17 05:25:38,992] - INFO: Epoch 2511/9999, Iter 125500: Loss = 0.014880356378853321, lr = [6.25e-06] +[2024-05-17 05:25:55,917] - INFO: Epoch 2511/9999, Iter 125520: Loss = 0.009368900209665298, lr = [6.25e-06] +[2024-05-17 05:26:13,814] - INFO: Epoch 2511/9999, Iter 125540: Loss = 0.014308578334748745, lr = [6.25e-06] +[2024-05-17 05:26:32,847] - INFO: Epoch 2512/9999, Iter 125560: Loss = 0.015210323967039585, lr = [6.25e-06] +[2024-05-17 05:26:50,789] - INFO: Epoch 2512/9999, Iter 125580: Loss = 0.01162664033472538, lr = [6.25e-06] +[2024-05-17 05:27:10,260] - INFO: Epoch 2513/9999, Iter 125600: Loss = 0.01314767450094223, lr = [6.25e-06] +[2024-05-17 05:27:28,145] - INFO: Epoch 2513/9999, Iter 125620: Loss = 0.015508619137108326, lr = [6.25e-06] +[2024-05-17 05:27:46,256] - INFO: Epoch 2513/9999, Iter 125640: Loss = 0.01567697525024414, lr = [6.25e-06] +[2024-05-17 05:28:04,956] - INFO: Epoch 2514/9999, Iter 125660: Loss = 0.012445889413356781, lr = [6.25e-06] +[2024-05-17 05:28:23,033] - INFO: Epoch 2514/9999, Iter 125680: Loss = 0.015118276700377464, lr = [6.25e-06] +[2024-05-17 05:28:42,140] - INFO: Epoch 2515/9999, Iter 125700: Loss = 0.014639233238995075, lr = [6.25e-06] +[2024-05-17 05:28:59,844] - INFO: Epoch 2515/9999, Iter 125720: Loss = 0.010449204593896866, lr = [6.25e-06] +[2024-05-17 05:29:16,954] - INFO: Epoch 2515/9999, Iter 125740: Loss = 0.011318633332848549, lr = [6.25e-06] +[2024-05-17 05:29:24,787] - INFO: Evaluate at epoch 2515! +[2024-05-17 05:29:28,273] - INFO: Eval PSNR (max): 38.003 (2355) SSIM (max): 0.9608 (2495) +[2024-05-17 05:29:28,273] - INFO: Eval PSNR (current): 37.987 (2515) SSIM (current): 0.9608 (2515) +[2024-05-17 05:29:28,274] - INFO: Evaluation over. +[2024-05-17 05:29:43,532] - INFO: Epoch 2516/9999, Iter 125760: Loss = 0.011123917996883392, lr = [6.25e-06] +[2024-05-17 05:30:01,320] - INFO: Epoch 2516/9999, Iter 125780: Loss = 0.011696916073560715, lr = [6.25e-06] +[2024-05-17 05:30:20,342] - INFO: Epoch 2517/9999, Iter 125800: Loss = 0.011778051033616066, lr = [6.25e-06] +[2024-05-17 05:30:37,819] - INFO: Epoch 2517/9999, Iter 125820: Loss = 0.01684570126235485, lr = [6.25e-06] +[2024-05-17 05:30:55,135] - INFO: Epoch 2517/9999, Iter 125840: Loss = 0.012914921157062054, lr = [6.25e-06] +[2024-05-17 05:31:14,101] - INFO: Epoch 2518/9999, Iter 125860: Loss = 0.015285421162843704, lr = [6.25e-06] +[2024-05-17 05:31:32,275] - INFO: Epoch 2518/9999, Iter 125880: Loss = 0.014179300516843796, lr = [6.25e-06] +[2024-05-17 05:31:50,888] - INFO: Epoch 2519/9999, Iter 125900: Loss = 0.008758248761296272, lr = [6.25e-06] +[2024-05-17 05:32:08,761] - INFO: Epoch 2519/9999, Iter 125920: Loss = 0.013952375389635563, lr = [6.25e-06] +[2024-05-17 05:32:26,673] - INFO: Epoch 2519/9999, Iter 125940: Loss = 0.01414663065224886, lr = [6.25e-06] +[2024-05-17 05:32:44,956] - INFO: Epoch 2520/9999, Iter 125960: Loss = 0.016810478642582893, lr = [6.25e-06] +[2024-05-17 05:33:03,033] - INFO: Epoch 2520/9999, Iter 125980: Loss = 0.011828266084194183, lr = [6.25e-06] +[2024-05-17 05:33:19,571] - INFO: Evaluate at epoch 2520! +[2024-05-17 05:33:23,243] - INFO: Eval PSNR (max): 38.003 (2355) SSIM (max): 0.9608 (2495) +[2024-05-17 05:33:23,244] - INFO: Eval PSNR (current): 37.995 (2520) SSIM (current): 0.9608 (2520) +[2024-05-17 05:33:23,244] - INFO: Evaluation over. +[2024-05-17 05:33:29,471] - INFO: Epoch 2521/9999, Iter 126000: Loss = 0.012480572797358036, lr = [6.25e-06] +[2024-05-17 05:33:47,481] - INFO: Epoch 2521/9999, Iter 126020: Loss = 0.012787165120244026, lr = [6.25e-06] +[2024-05-17 05:34:05,728] - INFO: Epoch 2521/9999, Iter 126040: Loss = 0.015057223848998547, lr = [6.25e-06] +[2024-05-17 05:34:24,432] - INFO: Epoch 2522/9999, Iter 126060: Loss = 0.01017947681248188, lr = [6.25e-06] +[2024-05-17 05:34:41,744] - INFO: Epoch 2522/9999, Iter 126080: Loss = 0.007212246302515268, lr = [6.25e-06] +[2024-05-17 05:35:00,488] - INFO: Epoch 2523/9999, Iter 126100: Loss = 0.010175530798733234, lr = [6.25e-06] +[2024-05-17 05:35:17,364] - INFO: Epoch 2523/9999, Iter 126120: Loss = 0.009068889543414116, lr = [6.25e-06] +[2024-05-17 05:35:34,771] - INFO: Epoch 2523/9999, Iter 126140: Loss = 0.013382701203227043, lr = [6.25e-06] +[2024-05-17 05:35:54,328] - INFO: Epoch 2524/9999, Iter 126160: Loss = 0.019810328260064125, lr = [6.25e-06] +[2024-05-17 05:36:11,780] - INFO: Epoch 2524/9999, Iter 126180: Loss = 0.0077788494527339935, lr = [6.25e-06] +[2024-05-17 05:36:30,605] - INFO: Epoch 2525/9999, Iter 126200: Loss = 0.011470465920865536, lr = [6.25e-06] +[2024-05-17 05:36:48,338] - INFO: Epoch 2525/9999, Iter 126220: Loss = 0.013027414679527283, lr = [6.25e-06] +[2024-05-17 05:37:06,607] - INFO: Epoch 2525/9999, Iter 126240: Loss = 0.015438607893884182, lr = [6.25e-06] +[2024-05-17 05:37:14,245] - INFO: Evaluate at epoch 2525! +[2024-05-17 05:37:17,653] - INFO: Eval PSNR (max): 38.003 (2355) SSIM (max): 0.9608 (2495) +[2024-05-17 05:37:17,654] - INFO: Eval PSNR (current): 38.003 (2525) SSIM (current): 0.9608 (2525) +[2024-05-17 05:37:17,654] - INFO: Evaluation over. +[2024-05-17 05:37:31,993] - INFO: Epoch 2526/9999, Iter 126260: Loss = 0.012108787894248962, lr = [6.25e-06] +[2024-05-17 05:37:49,070] - INFO: Epoch 2526/9999, Iter 126280: Loss = 0.01139818411320448, lr = [6.25e-06] +[2024-05-17 05:38:08,512] - INFO: Epoch 2527/9999, Iter 126300: Loss = 0.015718868002295494, lr = [6.25e-06] +[2024-05-17 05:38:25,400] - INFO: Epoch 2527/9999, Iter 126320: Loss = 0.005592110101133585, lr = [6.25e-06] +[2024-05-17 05:38:43,318] - INFO: Epoch 2527/9999, Iter 126340: Loss = 0.009717533364892006, lr = [6.25e-06] +[2024-05-17 05:39:02,702] - INFO: Epoch 2528/9999, Iter 126360: Loss = 0.008649573661386967, lr = [6.25e-06] +[2024-05-17 05:39:19,854] - INFO: Epoch 2528/9999, Iter 126380: Loss = 0.009576763026416302, lr = [6.25e-06] +[2024-05-17 05:39:39,088] - INFO: Epoch 2529/9999, Iter 126400: Loss = 0.013568174093961716, lr = [6.25e-06] +[2024-05-17 05:39:57,063] - INFO: Epoch 2529/9999, Iter 126420: Loss = 0.010035786777734756, lr = [6.25e-06] +[2024-05-17 05:40:14,424] - INFO: Epoch 2529/9999, Iter 126440: Loss = 0.0166501235216856, lr = [6.25e-06] +[2024-05-17 05:40:33,128] - INFO: Epoch 2530/9999, Iter 126460: Loss = 0.009573293849825859, lr = [6.25e-06] +[2024-05-17 05:40:50,240] - INFO: Epoch 2530/9999, Iter 126480: Loss = 0.01100429892539978, lr = [6.25e-06] +[2024-05-17 05:41:06,853] - INFO: Evaluate at epoch 2530! +[2024-05-17 05:41:10,599] - INFO: Eval PSNR (max): 38.003 (2355) SSIM (max): 0.9608 (2495) +[2024-05-17 05:41:10,600] - INFO: Eval PSNR (current): 37.990 (2530) SSIM (current): 0.9608 (2530) +[2024-05-17 05:41:10,600] - INFO: Evaluation over. +[2024-05-17 05:41:16,484] - INFO: Epoch 2531/9999, Iter 126500: Loss = 0.009441397152841091, lr = [6.25e-06] +[2024-05-17 05:41:33,928] - INFO: Epoch 2531/9999, Iter 126520: Loss = 0.01640031673014164, lr = [6.25e-06] +[2024-05-17 05:41:51,085] - INFO: Epoch 2531/9999, Iter 126540: Loss = 0.009530407376587391, lr = [6.25e-06] +[2024-05-17 05:42:10,699] - INFO: Epoch 2532/9999, Iter 126560: Loss = 0.011965996585786343, lr = [6.25e-06] +[2024-05-17 05:42:28,648] - INFO: Epoch 2532/9999, Iter 126580: Loss = 0.014404005371034145, lr = [6.25e-06] +[2024-05-17 05:42:47,712] - INFO: Epoch 2533/9999, Iter 126600: Loss = 0.0074613504111766815, lr = [6.25e-06] +[2024-05-17 05:43:05,721] - INFO: Epoch 2533/9999, Iter 126620: Loss = 0.010417008772492409, lr = [6.25e-06] +[2024-05-17 05:43:23,532] - INFO: Epoch 2533/9999, Iter 126640: Loss = 0.009792893193662167, lr = [6.25e-06] +[2024-05-17 05:43:42,348] - INFO: Epoch 2534/9999, Iter 126660: Loss = 0.015467798337340355, lr = [6.25e-06] +[2024-05-17 05:44:00,323] - INFO: Epoch 2534/9999, Iter 126680: Loss = 0.01553353387862444, lr = [6.25e-06] +[2024-05-17 05:44:19,345] - INFO: Epoch 2535/9999, Iter 126700: Loss = 0.01098074484616518, lr = [6.25e-06] +[2024-05-17 05:44:36,907] - INFO: Epoch 2535/9999, Iter 126720: Loss = 0.018022965639829636, lr = [6.25e-06] +[2024-05-17 05:44:53,721] - INFO: Epoch 2535/9999, Iter 126740: Loss = 0.01111177634447813, lr = [6.25e-06] +[2024-05-17 05:45:01,758] - INFO: Evaluate at epoch 2535! +[2024-05-17 05:45:05,250] - INFO: Eval PSNR (max): 38.003 (2355) SSIM (max): 0.9608 (2495) +[2024-05-17 05:45:05,250] - INFO: Eval PSNR (current): 37.983 (2535) SSIM (current): 0.9608 (2535) +[2024-05-17 05:45:05,250] - INFO: Evaluation over. +[2024-05-17 05:45:19,822] - INFO: Epoch 2536/9999, Iter 126760: Loss = 0.013451609760522842, lr = [6.25e-06] +[2024-05-17 05:45:38,013] - INFO: Epoch 2536/9999, Iter 126780: Loss = 0.01549345813691616, lr = [6.25e-06] +[2024-05-17 05:45:56,467] - INFO: Epoch 2537/9999, Iter 126800: Loss = 0.013554899953305721, lr = [6.25e-06] +[2024-05-17 05:46:14,515] - INFO: Epoch 2537/9999, Iter 126820: Loss = 0.009727668017148972, lr = [6.25e-06] +[2024-05-17 05:46:32,957] - INFO: Epoch 2537/9999, Iter 126840: Loss = 0.008405984379351139, lr = [6.25e-06] +[2024-05-17 05:46:52,087] - INFO: Epoch 2538/9999, Iter 126860: Loss = 0.011117786169052124, lr = [6.25e-06] +[2024-05-17 05:47:10,218] - INFO: Epoch 2538/9999, Iter 126880: Loss = 0.008590944111347198, lr = [6.25e-06] +[2024-05-17 05:47:29,068] - INFO: Epoch 2539/9999, Iter 126900: Loss = 0.012784689664840698, lr = [6.25e-06] +[2024-05-17 05:47:46,652] - INFO: Epoch 2539/9999, Iter 126920: Loss = 0.013094318099319935, lr = [6.25e-06] +[2024-05-17 05:48:04,824] - INFO: Epoch 2539/9999, Iter 126940: Loss = 0.013802828267216682, lr = [6.25e-06] +[2024-05-17 05:48:23,820] - INFO: Epoch 2540/9999, Iter 126960: Loss = 0.012733865529298782, lr = [6.25e-06] +[2024-05-17 05:48:41,634] - INFO: Epoch 2540/9999, Iter 126980: Loss = 0.015141816809773445, lr = [6.25e-06] +[2024-05-17 05:48:57,861] - INFO: Evaluate at epoch 2540! +[2024-05-17 05:49:01,500] - INFO: Eval PSNR (max): 38.003 (2355) SSIM (max): 0.9608 (2495) +[2024-05-17 05:49:01,500] - INFO: Eval PSNR (current): 37.991 (2540) SSIM (current): 0.9608 (2540) +[2024-05-17 05:49:01,500] - INFO: Evaluation over. +[2024-05-17 05:49:07,660] - INFO: Epoch 2541/9999, Iter 127000: Loss = 0.01953156292438507, lr = [6.25e-06] +[2024-05-17 05:49:25,230] - INFO: Epoch 2541/9999, Iter 127020: Loss = 0.013290654867887497, lr = [6.25e-06] +[2024-05-17 05:49:43,624] - INFO: Epoch 2541/9999, Iter 127040: Loss = 0.010219763964414597, lr = [6.25e-06] +[2024-05-17 05:50:02,353] - INFO: Epoch 2542/9999, Iter 127060: Loss = 0.011532069183886051, lr = [6.25e-06] +[2024-05-17 05:50:19,104] - INFO: Epoch 2542/9999, Iter 127080: Loss = 0.00806501042097807, lr = [6.25e-06] +[2024-05-17 05:50:38,400] - INFO: Epoch 2543/9999, Iter 127100: Loss = 0.00949831586331129, lr = [6.25e-06] +[2024-05-17 05:50:55,797] - INFO: Epoch 2543/9999, Iter 127120: Loss = 0.017380619421601295, lr = [6.25e-06] +[2024-05-17 05:51:13,469] - INFO: Epoch 2543/9999, Iter 127140: Loss = 0.017520476132631302, lr = [6.25e-06] +[2024-05-17 05:51:32,252] - INFO: Epoch 2544/9999, Iter 127160: Loss = 0.008858833461999893, lr = [6.25e-06] +[2024-05-17 05:51:49,403] - INFO: Epoch 2544/9999, Iter 127180: Loss = 0.01033805962651968, lr = [6.25e-06] +[2024-05-17 05:52:08,710] - INFO: Epoch 2545/9999, Iter 127200: Loss = 0.011698580347001553, lr = [6.25e-06] +[2024-05-17 05:52:26,865] - INFO: Epoch 2545/9999, Iter 127220: Loss = 0.016758309677243233, lr = [6.25e-06] +[2024-05-17 05:52:44,830] - INFO: Epoch 2545/9999, Iter 127240: Loss = 0.01442264299839735, lr = [6.25e-06] +[2024-05-17 05:52:52,320] - INFO: Evaluate at epoch 2545! +[2024-05-17 05:52:59,886] - INFO: Eval PSNR (max): 38.003 (2545) SSIM (max): 0.9608 (2495) +[2024-05-17 05:52:59,887] - INFO: Eval PSNR (current): 38.003 (2545) SSIM (current): 0.9608 (2545) +[2024-05-17 05:52:59,887] - INFO: Evaluation over. +[2024-05-17 05:53:14,860] - INFO: Epoch 2546/9999, Iter 127260: Loss = 0.013472584076225758, lr = [6.25e-06] +[2024-05-17 05:53:32,762] - INFO: Epoch 2546/9999, Iter 127280: Loss = 0.013695480301976204, lr = [6.25e-06] +[2024-05-17 05:53:52,028] - INFO: Epoch 2547/9999, Iter 127300: Loss = 0.010063229128718376, lr = [6.25e-06] +[2024-05-17 05:54:09,598] - INFO: Epoch 2547/9999, Iter 127320: Loss = 0.011229806579649448, lr = [6.25e-06] +[2024-05-17 05:54:27,776] - INFO: Epoch 2547/9999, Iter 127340: Loss = 0.01479675155133009, lr = [6.25e-06] +[2024-05-17 05:54:46,362] - INFO: Epoch 2548/9999, Iter 127360: Loss = 0.023615121841430664, lr = [6.25e-06] +[2024-05-17 05:55:03,810] - INFO: Epoch 2548/9999, Iter 127380: Loss = 0.012560508213937283, lr = [6.25e-06] +[2024-05-17 05:55:22,680] - INFO: Epoch 2549/9999, Iter 127400: Loss = 0.01330336183309555, lr = [6.25e-06] +[2024-05-17 05:55:40,794] - INFO: Epoch 2549/9999, Iter 127420: Loss = 0.01525390800088644, lr = [6.25e-06] +[2024-05-17 05:55:58,288] - INFO: Epoch 2549/9999, Iter 127440: Loss = 0.011533880606293678, lr = [6.25e-06] +[2024-05-17 05:56:17,420] - INFO: Epoch 2550/9999, Iter 127460: Loss = 0.011657384224236012, lr = [6.25e-06] +[2024-05-17 05:56:36,262] - INFO: Epoch 2550/9999, Iter 127480: Loss = 0.007970564067363739, lr = [6.25e-06] +[2024-05-17 05:56:52,278] - INFO: Evaluate at epoch 2550! +[2024-05-17 05:56:55,750] - INFO: Eval PSNR (max): 38.003 (2545) SSIM (max): 0.9608 (2495) +[2024-05-17 05:56:55,750] - INFO: Eval PSNR (current): 37.999 (2550) SSIM (current): 0.9608 (2550) +[2024-05-17 05:56:55,750] - INFO: Evaluation over. +[2024-05-17 05:57:01,836] - INFO: Epoch 2551/9999, Iter 127500: Loss = 0.011590637266635895, lr = [6.25e-06] +[2024-05-17 05:57:19,692] - INFO: Epoch 2551/9999, Iter 127520: Loss = 0.010299867950379848, lr = [6.25e-06] +[2024-05-17 05:57:37,931] - INFO: Epoch 2551/9999, Iter 127540: Loss = 0.018732711672782898, lr = [6.25e-06] +[2024-05-17 05:57:57,180] - INFO: Epoch 2552/9999, Iter 127560: Loss = 0.011738540604710579, lr = [6.25e-06] +[2024-05-17 05:58:15,437] - INFO: Epoch 2552/9999, Iter 127580: Loss = 0.01801222190260887, lr = [6.25e-06] +[2024-05-17 05:58:34,180] - INFO: Epoch 2553/9999, Iter 127600: Loss = 0.018227094784379005, lr = [6.25e-06] +[2024-05-17 05:58:51,462] - INFO: Epoch 2553/9999, Iter 127620: Loss = 0.011338828131556511, lr = [6.25e-06] +[2024-05-17 05:59:08,400] - INFO: Epoch 2553/9999, Iter 127640: Loss = 0.010575826279819012, lr = [6.25e-06] +[2024-05-17 05:59:27,732] - INFO: Epoch 2554/9999, Iter 127660: Loss = 0.015328056178987026, lr = [6.25e-06] +[2024-05-17 05:59:45,204] - INFO: Epoch 2554/9999, Iter 127680: Loss = 0.01120265107601881, lr = [6.25e-06] +[2024-05-17 06:00:04,607] - INFO: Epoch 2555/9999, Iter 127700: Loss = 0.012265415862202644, lr = [6.25e-06] +[2024-05-17 06:00:21,984] - INFO: Epoch 2555/9999, Iter 127720: Loss = 0.013458938337862492, lr = [6.25e-06] +[2024-05-17 06:00:39,699] - INFO: Epoch 2555/9999, Iter 127740: Loss = 0.01292346604168415, lr = [6.25e-06] +[2024-05-17 06:00:47,737] - INFO: Evaluate at epoch 2555! +[2024-05-17 06:00:51,183] - INFO: Eval PSNR (max): 38.003 (2545) SSIM (max): 0.9608 (2495) +[2024-05-17 06:00:51,184] - INFO: Eval PSNR (current): 38.000 (2555) SSIM (current): 0.9608 (2555) +[2024-05-17 06:00:51,184] - INFO: Evaluation over. +[2024-05-17 06:01:05,372] - INFO: Epoch 2556/9999, Iter 127760: Loss = 0.017127927392721176, lr = [6.25e-06] +[2024-05-17 06:01:22,850] - INFO: Epoch 2556/9999, Iter 127780: Loss = 0.018667975440621376, lr = [6.25e-06] +[2024-05-17 06:01:42,084] - INFO: Epoch 2557/9999, Iter 127800: Loss = 0.01127713918685913, lr = [6.25e-06] +[2024-05-17 06:01:59,491] - INFO: Epoch 2557/9999, Iter 127820: Loss = 0.01107212994247675, lr = [6.25e-06] +[2024-05-17 06:02:16,799] - INFO: Epoch 2557/9999, Iter 127840: Loss = 0.010460671968758106, lr = [6.25e-06] +[2024-05-17 06:02:36,054] - INFO: Epoch 2558/9999, Iter 127860: Loss = 0.019422389566898346, lr = [6.25e-06] +[2024-05-17 06:02:53,929] - INFO: Epoch 2558/9999, Iter 127880: Loss = 0.009632299654185772, lr = [6.25e-06] +[2024-05-17 06:03:12,692] - INFO: Epoch 2559/9999, Iter 127900: Loss = 0.013531173579394817, lr = [6.25e-06] +[2024-05-17 06:03:30,791] - INFO: Epoch 2559/9999, Iter 127920: Loss = 0.012818832881748676, lr = [6.25e-06] +[2024-05-17 06:03:48,856] - INFO: Epoch 2559/9999, Iter 127940: Loss = 0.011906472966074944, lr = [6.25e-06] +[2024-05-17 06:04:07,829] - INFO: Epoch 2560/9999, Iter 127960: Loss = 0.013694231398403645, lr = [6.25e-06] +[2024-05-17 06:04:25,843] - INFO: Epoch 2560/9999, Iter 127980: Loss = 0.010077341459691525, lr = [6.25e-06] +[2024-05-17 06:04:42,830] - INFO: Evaluate at epoch 2560! +[2024-05-17 06:04:50,071] - INFO: Eval PSNR (max): 38.003 (2545) SSIM (max): 0.9609 (2560) +[2024-05-17 06:04:50,072] - INFO: Eval PSNR (current): 38.000 (2560) SSIM (current): 0.9609 (2560) +[2024-05-17 06:04:50,072] - INFO: Evaluation over. +[2024-05-17 06:04:55,863] - INFO: Epoch 2561/9999, Iter 128000: Loss = 0.00898000132292509, lr = [6.25e-06] +[2024-05-17 06:05:14,087] - INFO: Epoch 2561/9999, Iter 128020: Loss = 0.013648896478116512, lr = [6.25e-06] +[2024-05-17 06:05:32,227] - INFO: Epoch 2561/9999, Iter 128040: Loss = 0.008403838612139225, lr = [6.25e-06] +[2024-05-17 06:05:51,020] - INFO: Epoch 2562/9999, Iter 128060: Loss = 0.008790112100541592, lr = [6.25e-06] +[2024-05-17 06:06:08,564] - INFO: Epoch 2562/9999, Iter 128080: Loss = 0.017224548384547234, lr = [6.25e-06] +[2024-05-17 06:06:27,832] - INFO: Epoch 2563/9999, Iter 128100: Loss = 0.014006060548126698, lr = [6.25e-06] +[2024-05-17 06:06:45,976] - INFO: Epoch 2563/9999, Iter 128120: Loss = 0.006805199198424816, lr = [6.25e-06] +[2024-05-17 06:07:03,473] - INFO: Epoch 2563/9999, Iter 128140: Loss = 0.0168676245957613, lr = [6.25e-06] +[2024-05-17 06:07:22,728] - INFO: Epoch 2564/9999, Iter 128160: Loss = 0.01347865629941225, lr = [6.25e-06] +[2024-05-17 06:07:40,032] - INFO: Epoch 2564/9999, Iter 128180: Loss = 0.01592947170138359, lr = [6.25e-06] +[2024-05-17 06:07:58,832] - INFO: Epoch 2565/9999, Iter 128200: Loss = 0.014267939142882824, lr = [6.25e-06] +[2024-05-17 06:08:16,680] - INFO: Epoch 2565/9999, Iter 128220: Loss = 0.01334670651704073, lr = [6.25e-06] +[2024-05-17 06:08:34,794] - INFO: Epoch 2565/9999, Iter 128240: Loss = 0.012161998078227043, lr = [6.25e-06] +[2024-05-17 06:08:42,189] - INFO: Evaluate at epoch 2565! +[2024-05-17 06:08:45,893] - INFO: Eval PSNR (max): 38.003 (2545) SSIM (max): 0.9609 (2560) +[2024-05-17 06:08:45,893] - INFO: Eval PSNR (current): 37.993 (2565) SSIM (current): 0.9608 (2565) +[2024-05-17 06:08:45,894] - INFO: Evaluation over. +[2024-05-17 06:09:00,364] - INFO: Epoch 2566/9999, Iter 128260: Loss = 0.01659669540822506, lr = [6.25e-06] +[2024-05-17 06:09:17,377] - INFO: Epoch 2566/9999, Iter 128280: Loss = 0.009161321446299553, lr = [6.25e-06] +[2024-05-17 06:09:36,797] - INFO: Epoch 2567/9999, Iter 128300: Loss = 0.012293608859181404, lr = [6.25e-06] +[2024-05-17 06:09:54,983] - INFO: Epoch 2567/9999, Iter 128320: Loss = 0.011501280590891838, lr = [6.25e-06] +[2024-05-17 06:10:13,138] - INFO: Epoch 2567/9999, Iter 128340: Loss = 0.009087157435715199, lr = [6.25e-06] +[2024-05-17 06:10:32,396] - INFO: Epoch 2568/9999, Iter 128360: Loss = 0.014948037452995777, lr = [6.25e-06] +[2024-05-17 06:10:50,552] - INFO: Epoch 2568/9999, Iter 128380: Loss = 0.01203998364508152, lr = [6.25e-06] +[2024-05-17 06:11:09,172] - INFO: Epoch 2569/9999, Iter 128400: Loss = 0.019450876861810684, lr = [6.25e-06] +[2024-05-17 06:11:26,814] - INFO: Epoch 2569/9999, Iter 128420: Loss = 0.009197101928293705, lr = [6.25e-06] +[2024-05-17 06:11:44,042] - INFO: Epoch 2569/9999, Iter 128440: Loss = 0.01493737194687128, lr = [6.25e-06] +[2024-05-17 06:12:02,660] - INFO: Epoch 2570/9999, Iter 128460: Loss = 0.008631579577922821, lr = [6.25e-06] +[2024-05-17 06:12:20,056] - INFO: Epoch 2570/9999, Iter 128480: Loss = 0.013094025664031506, lr = [6.25e-06] +[2024-05-17 06:12:36,652] - INFO: Evaluate at epoch 2570! +[2024-05-17 06:12:40,145] - INFO: Eval PSNR (max): 38.003 (2545) SSIM (max): 0.9609 (2560) +[2024-05-17 06:12:40,146] - INFO: Eval PSNR (current): 37.986 (2570) SSIM (current): 0.9608 (2570) +[2024-05-17 06:12:40,146] - INFO: Evaluation over. +[2024-05-17 06:12:46,086] - INFO: Epoch 2571/9999, Iter 128500: Loss = 0.01154968049377203, lr = [6.25e-06] +[2024-05-17 06:13:04,396] - INFO: Epoch 2571/9999, Iter 128520: Loss = 0.015654923394322395, lr = [6.25e-06] +[2024-05-17 06:13:21,682] - INFO: Epoch 2571/9999, Iter 128540: Loss = 0.00919498410075903, lr = [6.25e-06] +[2024-05-17 06:13:41,400] - INFO: Epoch 2572/9999, Iter 128560: Loss = 0.010449005290865898, lr = [6.25e-06] +[2024-05-17 06:13:59,329] - INFO: Epoch 2572/9999, Iter 128580: Loss = 0.01618894375860691, lr = [6.25e-06] +[2024-05-17 06:14:18,442] - INFO: Epoch 2573/9999, Iter 128600: Loss = 0.010667269118130207, lr = [6.25e-06] +[2024-05-17 06:14:36,252] - INFO: Epoch 2573/9999, Iter 128620: Loss = 0.011125652119517326, lr = [6.25e-06] +[2024-05-17 06:14:54,316] - INFO: Epoch 2573/9999, Iter 128640: Loss = 0.016251277178525925, lr = [6.25e-06] +[2024-05-17 06:15:13,431] - INFO: Epoch 2574/9999, Iter 128660: Loss = 0.013048051856458187, lr = [6.25e-06] +[2024-05-17 06:15:30,252] - INFO: Epoch 2574/9999, Iter 128680: Loss = 0.008475875481963158, lr = [6.25e-06] +[2024-05-17 06:15:48,935] - INFO: Epoch 2575/9999, Iter 128700: Loss = 0.015255473554134369, lr = [6.25e-06] +[2024-05-17 06:16:07,209] - INFO: Epoch 2575/9999, Iter 128720: Loss = 0.018199387937784195, lr = [6.25e-06] +[2024-05-17 06:16:25,179] - INFO: Epoch 2575/9999, Iter 128740: Loss = 0.008434604853391647, lr = [6.25e-06] +[2024-05-17 06:16:32,705] - INFO: Evaluate at epoch 2575! +[2024-05-17 06:16:36,256] - INFO: Eval PSNR (max): 38.003 (2545) SSIM (max): 0.9609 (2560) +[2024-05-17 06:16:36,256] - INFO: Eval PSNR (current): 37.998 (2575) SSIM (current): 0.9609 (2575) +[2024-05-17 06:16:36,256] - INFO: Evaluation over. +[2024-05-17 06:16:50,875] - INFO: Epoch 2576/9999, Iter 128760: Loss = 0.007611446548253298, lr = [6.25e-06] +[2024-05-17 06:17:08,385] - INFO: Epoch 2576/9999, Iter 128780: Loss = 0.009330617263913155, lr = [6.25e-06] +[2024-05-17 06:17:27,604] - INFO: Epoch 2577/9999, Iter 128800: Loss = 0.009486882947385311, lr = [6.25e-06] +[2024-05-17 06:17:45,551] - INFO: Epoch 2577/9999, Iter 128820: Loss = 0.010956970043480396, lr = [6.25e-06] +[2024-05-17 06:18:03,685] - INFO: Epoch 2577/9999, Iter 128840: Loss = 0.010689830407500267, lr = [6.25e-06] +[2024-05-17 06:18:22,679] - INFO: Epoch 2578/9999, Iter 128860: Loss = 0.011747150681912899, lr = [6.25e-06] +[2024-05-17 06:18:39,584] - INFO: Epoch 2578/9999, Iter 128880: Loss = 0.01761818863451481, lr = [6.25e-06] +[2024-05-17 06:18:59,177] - INFO: Epoch 2579/9999, Iter 128900: Loss = 0.011563204228878021, lr = [6.25e-06] +[2024-05-17 06:19:16,756] - INFO: Epoch 2579/9999, Iter 128920: Loss = 0.006467068567872047, lr = [6.25e-06] +[2024-05-17 06:19:34,173] - INFO: Epoch 2579/9999, Iter 128940: Loss = 0.011442780494689941, lr = [6.25e-06] +[2024-05-17 06:19:52,612] - INFO: Epoch 2580/9999, Iter 128960: Loss = 0.014777437783777714, lr = [6.25e-06] +[2024-05-17 06:20:10,089] - INFO: Epoch 2580/9999, Iter 128980: Loss = 0.013834952376782894, lr = [6.25e-06] +[2024-05-17 06:20:26,533] - INFO: Evaluate at epoch 2580! +[2024-05-17 06:20:29,945] - INFO: Eval PSNR (max): 38.003 (2545) SSIM (max): 0.9609 (2560) +[2024-05-17 06:20:29,945] - INFO: Eval PSNR (current): 37.998 (2580) SSIM (current): 0.9608 (2580) +[2024-05-17 06:20:29,945] - INFO: Evaluation over. +[2024-05-17 06:20:35,853] - INFO: Epoch 2581/9999, Iter 129000: Loss = 0.007020612712949514, lr = [6.25e-06] +[2024-05-17 06:20:54,016] - INFO: Epoch 2581/9999, Iter 129020: Loss = 0.013133574277162552, lr = [6.25e-06] +[2024-05-17 06:21:12,142] - INFO: Epoch 2581/9999, Iter 129040: Loss = 0.011062231846153736, lr = [6.25e-06] +[2024-05-17 06:21:31,304] - INFO: Epoch 2582/9999, Iter 129060: Loss = 0.012693685479462147, lr = [6.25e-06] +[2024-05-17 06:21:48,660] - INFO: Epoch 2582/9999, Iter 129080: Loss = 0.008830354548990726, lr = [6.25e-06] +[2024-05-17 06:22:07,891] - INFO: Epoch 2583/9999, Iter 129100: Loss = 0.008429919369518757, lr = [6.25e-06] +[2024-05-17 06:22:24,996] - INFO: Epoch 2583/9999, Iter 129120: Loss = 0.012537640519440174, lr = [6.25e-06] +[2024-05-17 06:22:42,150] - INFO: Epoch 2583/9999, Iter 129140: Loss = 0.011971586383879185, lr = [6.25e-06] +[2024-05-17 06:23:01,785] - INFO: Epoch 2584/9999, Iter 129160: Loss = 0.018955407664179802, lr = [6.25e-06] +[2024-05-17 06:23:19,564] - INFO: Epoch 2584/9999, Iter 129180: Loss = 0.01607418619096279, lr = [6.25e-06] +[2024-05-17 06:23:38,252] - INFO: Epoch 2585/9999, Iter 129200: Loss = 0.018034348264336586, lr = [6.25e-06] +[2024-05-17 06:23:55,584] - INFO: Epoch 2585/9999, Iter 129220: Loss = 0.01825329102575779, lr = [6.25e-06] +[2024-05-17 06:24:13,066] - INFO: Epoch 2585/9999, Iter 129240: Loss = 0.014973795972764492, lr = [6.25e-06] +[2024-05-17 06:24:21,040] - INFO: Evaluate at epoch 2585! +[2024-05-17 06:24:24,515] - INFO: Eval PSNR (max): 38.003 (2545) SSIM (max): 0.9609 (2560) +[2024-05-17 06:24:24,516] - INFO: Eval PSNR (current): 37.995 (2585) SSIM (current): 0.9608 (2585) +[2024-05-17 06:24:24,516] - INFO: Evaluation over. +[2024-05-17 06:24:39,540] - INFO: Epoch 2586/9999, Iter 129260: Loss = 0.011824673973023891, lr = [6.25e-06] +[2024-05-17 06:24:58,691] - INFO: Epoch 2586/9999, Iter 129280: Loss = 0.011195063591003418, lr = [6.25e-06] +[2024-05-17 06:25:17,944] - INFO: Epoch 2587/9999, Iter 129300: Loss = 0.010055802762508392, lr = [6.25e-06] +[2024-05-17 06:25:35,578] - INFO: Epoch 2587/9999, Iter 129320: Loss = 0.01236755307763815, lr = [6.25e-06] +[2024-05-17 06:25:52,630] - INFO: Epoch 2587/9999, Iter 129340: Loss = 0.013750018551945686, lr = [6.25e-06] +[2024-05-17 06:26:11,354] - INFO: Epoch 2588/9999, Iter 129360: Loss = 0.01290055364370346, lr = [6.25e-06] +[2024-05-17 06:26:28,696] - INFO: Epoch 2588/9999, Iter 129380: Loss = 0.008159716613590717, lr = [6.25e-06] +[2024-05-17 06:26:48,038] - INFO: Epoch 2589/9999, Iter 129400: Loss = 0.017763148993253708, lr = [6.25e-06] +[2024-05-17 06:27:05,739] - INFO: Epoch 2589/9999, Iter 129420: Loss = 0.00902408268302679, lr = [6.25e-06] +[2024-05-17 06:27:23,195] - INFO: Epoch 2589/9999, Iter 129440: Loss = 0.016080286353826523, lr = [6.25e-06] +[2024-05-17 06:27:42,012] - INFO: Epoch 2590/9999, Iter 129460: Loss = 0.011386017315089703, lr = [6.25e-06] +[2024-05-17 06:27:59,802] - INFO: Epoch 2590/9999, Iter 129480: Loss = 0.012567402794957161, lr = [6.25e-06] +[2024-05-17 06:28:16,208] - INFO: Evaluate at epoch 2590! +[2024-05-17 06:28:19,615] - INFO: Eval PSNR (max): 38.003 (2545) SSIM (max): 0.9609 (2560) +[2024-05-17 06:28:19,615] - INFO: Eval PSNR (current): 37.987 (2590) SSIM (current): 0.9608 (2590) +[2024-05-17 06:28:19,615] - INFO: Evaluation over. +[2024-05-17 06:28:25,776] - INFO: Epoch 2591/9999, Iter 129500: Loss = 0.01439424604177475, lr = [6.25e-06] +[2024-05-17 06:28:43,689] - INFO: Epoch 2591/9999, Iter 129520: Loss = 0.013086432591080666, lr = [6.25e-06] +[2024-05-17 06:29:01,640] - INFO: Epoch 2591/9999, Iter 129540: Loss = 0.013501674868166447, lr = [6.25e-06] +[2024-05-17 06:29:20,249] - INFO: Epoch 2592/9999, Iter 129560: Loss = 0.011732629500329494, lr = [6.25e-06] +[2024-05-17 06:29:37,965] - INFO: Epoch 2592/9999, Iter 129580: Loss = 0.012623912654817104, lr = [6.25e-06] +[2024-05-17 06:29:56,920] - INFO: Epoch 2593/9999, Iter 129600: Loss = 0.014272515662014484, lr = [6.25e-06] +[2024-05-17 06:30:14,840] - INFO: Epoch 2593/9999, Iter 129620: Loss = 0.01059719081968069, lr = [6.25e-06] +[2024-05-17 06:30:32,088] - INFO: Epoch 2593/9999, Iter 129640: Loss = 0.012308855541050434, lr = [6.25e-06] +[2024-05-17 06:30:51,160] - INFO: Epoch 2594/9999, Iter 129660: Loss = 0.01488577201962471, lr = [6.25e-06] +[2024-05-17 06:31:09,290] - INFO: Epoch 2594/9999, Iter 129680: Loss = 0.01432114653289318, lr = [6.25e-06] +[2024-05-17 06:31:28,193] - INFO: Epoch 2595/9999, Iter 129700: Loss = 0.014929504133760929, lr = [6.25e-06] +[2024-05-17 06:31:45,832] - INFO: Epoch 2595/9999, Iter 129720: Loss = 0.007708743680268526, lr = [6.25e-06] +[2024-05-17 06:32:04,032] - INFO: Epoch 2595/9999, Iter 129740: Loss = 0.01644405536353588, lr = [6.25e-06] +[2024-05-17 06:32:11,853] - INFO: Evaluate at epoch 2595! +[2024-05-17 06:32:15,199] - INFO: Eval PSNR (max): 38.003 (2545) SSIM (max): 0.9609 (2560) +[2024-05-17 06:32:15,200] - INFO: Eval PSNR (current): 37.990 (2595) SSIM (current): 0.9608 (2595) +[2024-05-17 06:32:15,200] - INFO: Evaluation over. +[2024-05-17 06:32:29,928] - INFO: Epoch 2596/9999, Iter 129760: Loss = 0.016728458926081657, lr = [6.25e-06] +[2024-05-17 06:32:47,375] - INFO: Epoch 2596/9999, Iter 129780: Loss = 0.014998625963926315, lr = [6.25e-06] +[2024-05-17 06:33:06,800] - INFO: Epoch 2597/9999, Iter 129800: Loss = 0.014301425777375698, lr = [6.25e-06] +[2024-05-17 06:33:24,461] - INFO: Epoch 2597/9999, Iter 129820: Loss = 0.017141008749604225, lr = [6.25e-06] +[2024-05-17 06:33:42,054] - INFO: Epoch 2597/9999, Iter 129840: Loss = 0.009238427504897118, lr = [6.25e-06] +[2024-05-17 06:34:01,283] - INFO: Epoch 2598/9999, Iter 129860: Loss = 0.010915095917880535, lr = [6.25e-06] +[2024-05-17 06:34:19,831] - INFO: Epoch 2598/9999, Iter 129880: Loss = 0.010473175905644894, lr = [6.25e-06] +[2024-05-17 06:34:38,552] - INFO: Epoch 2599/9999, Iter 129900: Loss = 0.010973728261888027, lr = [6.25e-06] +[2024-05-17 06:34:56,048] - INFO: Epoch 2599/9999, Iter 129920: Loss = 0.01642042025923729, lr = [6.25e-06] +[2024-05-17 06:35:13,062] - INFO: Epoch 2599/9999, Iter 129940: Loss = 0.01647377572953701, lr = [6.25e-06] +[2024-05-17 06:35:33,142] - INFO: Epoch 2600/9999, Iter 129960: Loss = 0.009096954017877579, lr = [6.25e-06] +[2024-05-17 06:35:51,191] - INFO: Epoch 2600/9999, Iter 129980: Loss = 0.009386272169649601, lr = [6.25e-06] +[2024-05-17 06:36:07,436] - INFO: Evaluate at epoch 2600! +[2024-05-17 06:36:10,995] - INFO: Eval PSNR (max): 38.003 (2545) SSIM (max): 0.9609 (2560) +[2024-05-17 06:36:10,996] - INFO: Eval PSNR (current): 37.999 (2600) SSIM (current): 0.9608 (2600) +[2024-05-17 06:36:10,996] - INFO: Evaluation over. +[2024-05-17 06:36:17,104] - INFO: Epoch 2601/9999, Iter 130000: Loss = 0.009319460950791836, lr = [6.25e-06] +[2024-05-17 06:36:34,852] - INFO: Epoch 2601/9999, Iter 130020: Loss = 0.011509031988680363, lr = [6.25e-06] +[2024-05-17 06:36:51,913] - INFO: Epoch 2601/9999, Iter 130040: Loss = 0.012772372923791409, lr = [6.25e-06] +[2024-05-17 06:37:11,604] - INFO: Epoch 2602/9999, Iter 130060: Loss = 0.014014994725584984, lr = [6.25e-06] +[2024-05-17 06:37:29,428] - INFO: Epoch 2602/9999, Iter 130080: Loss = 0.010569022037088871, lr = [6.25e-06] +[2024-05-17 06:37:47,656] - INFO: Epoch 2603/9999, Iter 130100: Loss = 0.013582496903836727, lr = [6.25e-06] +[2024-05-17 06:38:04,804] - INFO: Epoch 2603/9999, Iter 130120: Loss = 0.010625991970300674, lr = [6.25e-06] +[2024-05-17 06:38:22,164] - INFO: Epoch 2603/9999, Iter 130140: Loss = 0.012469744309782982, lr = [6.25e-06] +[2024-05-17 06:38:41,960] - INFO: Epoch 2604/9999, Iter 130160: Loss = 0.007397608831524849, lr = [6.25e-06] +[2024-05-17 06:38:59,604] - INFO: Epoch 2604/9999, Iter 130180: Loss = 0.015517259947955608, lr = [6.25e-06] +[2024-05-17 06:39:18,732] - INFO: Epoch 2605/9999, Iter 130200: Loss = 0.017757661640644073, lr = [6.25e-06] +[2024-05-17 06:39:36,232] - INFO: Epoch 2605/9999, Iter 130220: Loss = 0.014055311679840088, lr = [6.25e-06] +[2024-05-17 06:39:54,368] - INFO: Epoch 2605/9999, Iter 130240: Loss = 0.013642551377415657, lr = [6.25e-06] +[2024-05-17 06:40:01,949] - INFO: Evaluate at epoch 2605! +[2024-05-17 06:40:05,417] - INFO: Eval PSNR (max): 38.003 (2545) SSIM (max): 0.9609 (2560) +[2024-05-17 06:40:05,418] - INFO: Eval PSNR (current): 37.997 (2605) SSIM (current): 0.9608 (2605) +[2024-05-17 06:40:05,418] - INFO: Evaluation over. +[2024-05-17 06:40:20,381] - INFO: Epoch 2606/9999, Iter 130260: Loss = 0.012328947894275188, lr = [6.25e-06] +[2024-05-17 06:40:37,549] - INFO: Epoch 2606/9999, Iter 130280: Loss = 0.015747105702757835, lr = [6.25e-06] +[2024-05-17 06:40:56,788] - INFO: Epoch 2607/9999, Iter 130300: Loss = 0.018104104325175285, lr = [6.25e-06] +[2024-05-17 06:41:14,075] - INFO: Epoch 2607/9999, Iter 130320: Loss = 0.013974439352750778, lr = [6.25e-06] +[2024-05-17 06:41:31,238] - INFO: Epoch 2607/9999, Iter 130340: Loss = 0.016114970669150352, lr = [6.25e-06] +[2024-05-17 06:41:50,695] - INFO: Epoch 2608/9999, Iter 130360: Loss = 0.015535538084805012, lr = [6.25e-06] +[2024-05-17 06:42:08,696] - INFO: Epoch 2608/9999, Iter 130380: Loss = 0.012464713305234909, lr = [6.25e-06] +[2024-05-17 06:42:27,424] - INFO: Epoch 2609/9999, Iter 130400: Loss = 0.013778341934084892, lr = [6.25e-06] +[2024-05-17 06:42:45,320] - INFO: Epoch 2609/9999, Iter 130420: Loss = 0.0158457662910223, lr = [6.25e-06] +[2024-05-17 06:43:03,064] - INFO: Epoch 2609/9999, Iter 130440: Loss = 0.00837272685021162, lr = [6.25e-06] +[2024-05-17 06:43:22,115] - INFO: Epoch 2610/9999, Iter 130460: Loss = 0.01715538091957569, lr = [6.25e-06] +[2024-05-17 06:43:39,548] - INFO: Epoch 2610/9999, Iter 130480: Loss = 0.017728719860315323, lr = [6.25e-06] +[2024-05-17 06:43:55,860] - INFO: Evaluate at epoch 2610! +[2024-05-17 06:43:59,314] - INFO: Eval PSNR (max): 38.003 (2545) SSIM (max): 0.9609 (2560) +[2024-05-17 06:43:59,315] - INFO: Eval PSNR (current): 37.994 (2610) SSIM (current): 0.9608 (2610) +[2024-05-17 06:43:59,315] - INFO: Evaluation over. +[2024-05-17 06:44:05,478] - INFO: Epoch 2611/9999, Iter 130500: Loss = 0.012833080254495144, lr = [6.25e-06] +[2024-05-17 06:44:23,322] - INFO: Epoch 2611/9999, Iter 130520: Loss = 0.016509171575307846, lr = [6.25e-06] +[2024-05-17 06:44:41,004] - INFO: Epoch 2611/9999, Iter 130540: Loss = 0.019174935296177864, lr = [6.25e-06] +[2024-05-17 06:45:00,113] - INFO: Epoch 2612/9999, Iter 130560: Loss = 0.012920183129608631, lr = [6.25e-06] +[2024-05-17 06:45:18,224] - INFO: Epoch 2612/9999, Iter 130580: Loss = 0.010097385384142399, lr = [6.25e-06] +[2024-05-17 06:45:37,356] - INFO: Epoch 2613/9999, Iter 130600: Loss = 0.010366049595177174, lr = [6.25e-06] +[2024-05-17 06:45:55,058] - INFO: Epoch 2613/9999, Iter 130620: Loss = 0.013047704473137856, lr = [6.25e-06] +[2024-05-17 06:46:12,804] - INFO: Epoch 2613/9999, Iter 130640: Loss = 0.013834655284881592, lr = [6.25e-06] +[2024-05-17 06:46:31,978] - INFO: Epoch 2614/9999, Iter 130660: Loss = 0.012159700505435467, lr = [6.25e-06] +[2024-05-17 06:46:49,800] - INFO: Epoch 2614/9999, Iter 130680: Loss = 0.01572098582983017, lr = [6.25e-06] +[2024-05-17 06:47:08,968] - INFO: Epoch 2615/9999, Iter 130700: Loss = 0.013899804092943668, lr = [6.25e-06] +[2024-05-17 06:47:25,866] - INFO: Epoch 2615/9999, Iter 130720: Loss = 0.01285206712782383, lr = [6.25e-06] +[2024-05-17 06:47:44,002] - INFO: Epoch 2615/9999, Iter 130740: Loss = 0.018009889870882034, lr = [6.25e-06] +[2024-05-17 06:47:51,994] - INFO: Evaluate at epoch 2615! +[2024-05-17 06:47:55,492] - INFO: Eval PSNR (max): 38.003 (2545) SSIM (max): 0.9609 (2560) +[2024-05-17 06:47:55,492] - INFO: Eval PSNR (current): 37.998 (2615) SSIM (current): 0.9608 (2615) +[2024-05-17 06:47:55,492] - INFO: Evaluation over. +[2024-05-17 06:48:10,178] - INFO: Epoch 2616/9999, Iter 130760: Loss = 0.023236269131302834, lr = [6.25e-06] +[2024-05-17 06:48:27,396] - INFO: Epoch 2616/9999, Iter 130780: Loss = 0.01394073385745287, lr = [6.25e-06] +[2024-05-17 06:48:46,745] - INFO: Epoch 2617/9999, Iter 130800: Loss = 0.020043905824422836, lr = [6.25e-06] +[2024-05-17 06:49:03,861] - INFO: Epoch 2617/9999, Iter 130820: Loss = 0.012540006078779697, lr = [6.25e-06] +[2024-05-17 06:49:21,468] - INFO: Epoch 2617/9999, Iter 130840: Loss = 0.010570503771305084, lr = [6.25e-06] +[2024-05-17 06:49:41,201] - INFO: Epoch 2618/9999, Iter 130860: Loss = 0.01283817645162344, lr = [6.25e-06] +[2024-05-17 06:49:58,890] - INFO: Epoch 2618/9999, Iter 130880: Loss = 0.010183650068938732, lr = [6.25e-06] +[2024-05-17 06:50:18,336] - INFO: Epoch 2619/9999, Iter 130900: Loss = 0.011211732402443886, lr = [6.25e-06] +[2024-05-17 06:50:36,134] - INFO: Epoch 2619/9999, Iter 130920: Loss = 0.020881369709968567, lr = [6.25e-06] +[2024-05-17 06:50:54,269] - INFO: Epoch 2619/9999, Iter 130940: Loss = 0.011742938309907913, lr = [6.25e-06] +[2024-05-17 06:51:12,980] - INFO: Epoch 2620/9999, Iter 130960: Loss = 0.009447919204831123, lr = [6.25e-06] +[2024-05-17 06:51:30,330] - INFO: Epoch 2620/9999, Iter 130980: Loss = 0.007375717628747225, lr = [6.25e-06] +[2024-05-17 06:51:47,261] - INFO: Evaluate at epoch 2620! +[2024-05-17 06:51:50,796] - INFO: Eval PSNR (max): 38.003 (2545) SSIM (max): 0.9609 (2560) +[2024-05-17 06:51:50,796] - INFO: Eval PSNR (current): 37.994 (2620) SSIM (current): 0.9608 (2620) +[2024-05-17 06:51:50,796] - INFO: Evaluation over. +[2024-05-17 06:51:56,780] - INFO: Epoch 2621/9999, Iter 131000: Loss = 0.012759528122842312, lr = [6.25e-06] +[2024-05-17 06:52:14,333] - INFO: Epoch 2621/9999, Iter 131020: Loss = 0.01341833546757698, lr = [6.25e-06] +[2024-05-17 06:52:31,830] - INFO: Epoch 2621/9999, Iter 131040: Loss = 0.015173454768955708, lr = [6.25e-06] +[2024-05-17 06:52:50,943] - INFO: Epoch 2622/9999, Iter 131060: Loss = 0.020016105845570564, lr = [6.25e-06] +[2024-05-17 06:53:08,555] - INFO: Epoch 2622/9999, Iter 131080: Loss = 0.01082016620784998, lr = [6.25e-06] +[2024-05-17 06:53:27,335] - INFO: Epoch 2623/9999, Iter 131100: Loss = 0.016375349834561348, lr = [6.25e-06] +[2024-05-17 06:53:44,484] - INFO: Epoch 2623/9999, Iter 131120: Loss = 0.014012429863214493, lr = [6.25e-06] +[2024-05-17 06:54:02,053] - INFO: Epoch 2623/9999, Iter 131140: Loss = 0.01918579265475273, lr = [6.25e-06] +[2024-05-17 06:54:21,328] - INFO: Epoch 2624/9999, Iter 131160: Loss = 0.010825937613844872, lr = [6.25e-06] +[2024-05-17 06:54:39,680] - INFO: Epoch 2624/9999, Iter 131180: Loss = 0.018852772191166878, lr = [6.25e-06] +[2024-05-17 06:54:58,452] - INFO: Epoch 2625/9999, Iter 131200: Loss = 0.015552018769085407, lr = [6.25e-06] +[2024-05-17 06:55:16,642] - INFO: Epoch 2625/9999, Iter 131220: Loss = 0.01671750657260418, lr = [6.25e-06] +[2024-05-17 06:55:34,842] - INFO: Epoch 2625/9999, Iter 131240: Loss = 0.012648239731788635, lr = [6.25e-06] +[2024-05-17 06:55:42,323] - INFO: Evaluate at epoch 2625! +[2024-05-17 06:55:45,813] - INFO: Eval PSNR (max): 38.003 (2545) SSIM (max): 0.9609 (2560) +[2024-05-17 06:55:45,813] - INFO: Eval PSNR (current): 37.986 (2625) SSIM (current): 0.9608 (2625) +[2024-05-17 06:55:45,814] - INFO: Evaluation over. +[2024-05-17 06:56:00,752] - INFO: Epoch 2626/9999, Iter 131260: Loss = 0.01618381030857563, lr = [6.25e-06] +[2024-05-17 06:56:17,876] - INFO: Epoch 2626/9999, Iter 131280: Loss = 0.010323736816644669, lr = [6.25e-06] +[2024-05-17 06:56:37,288] - INFO: Epoch 2627/9999, Iter 131300: Loss = 0.01189518067985773, lr = [6.25e-06] +[2024-05-17 06:56:54,821] - INFO: Epoch 2627/9999, Iter 131320: Loss = 0.019052572548389435, lr = [6.25e-06] +[2024-05-17 06:57:12,536] - INFO: Epoch 2627/9999, Iter 131340: Loss = 0.014057492837309837, lr = [6.25e-06] +[2024-05-17 06:57:32,075] - INFO: Epoch 2628/9999, Iter 131360: Loss = 0.013580507598817348, lr = [6.25e-06] +[2024-05-17 06:57:50,251] - INFO: Epoch 2628/9999, Iter 131380: Loss = 0.011588341556489468, lr = [6.25e-06] +[2024-05-17 06:58:09,740] - INFO: Epoch 2629/9999, Iter 131400: Loss = 0.00921026710420847, lr = [6.25e-06] +[2024-05-17 06:58:27,524] - INFO: Epoch 2629/9999, Iter 131420: Loss = 0.009694586507976055, lr = [6.25e-06] +[2024-05-17 06:58:45,440] - INFO: Epoch 2629/9999, Iter 131440: Loss = 0.010895154438912868, lr = [6.25e-06] +[2024-05-17 06:59:04,528] - INFO: Epoch 2630/9999, Iter 131460: Loss = 0.010817768052220345, lr = [6.25e-06] +[2024-05-17 06:59:22,156] - INFO: Epoch 2630/9999, Iter 131480: Loss = 0.01227420661598444, lr = [6.25e-06] +[2024-05-17 06:59:38,557] - INFO: Evaluate at epoch 2630! +[2024-05-17 06:59:42,032] - INFO: Eval PSNR (max): 38.003 (2545) SSIM (max): 0.9609 (2560) +[2024-05-17 06:59:42,032] - INFO: Eval PSNR (current): 37.990 (2630) SSIM (current): 0.9608 (2630) +[2024-05-17 06:59:42,032] - INFO: Evaluation over. +[2024-05-17 06:59:47,959] - INFO: Epoch 2631/9999, Iter 131500: Loss = 0.011324215680360794, lr = [6.25e-06] +[2024-05-17 07:00:06,219] - INFO: Epoch 2631/9999, Iter 131520: Loss = 0.013200830668210983, lr = [6.25e-06] +[2024-05-17 07:00:24,074] - INFO: Epoch 2631/9999, Iter 131540: Loss = 0.014135848730802536, lr = [6.25e-06] +[2024-05-17 07:00:43,432] - INFO: Epoch 2632/9999, Iter 131560: Loss = 0.01946578174829483, lr = [6.25e-06] +[2024-05-17 07:01:00,958] - INFO: Epoch 2632/9999, Iter 131580: Loss = 0.016618892550468445, lr = [6.25e-06] +[2024-05-17 07:01:20,613] - INFO: Epoch 2633/9999, Iter 131600: Loss = 0.00819508358836174, lr = [6.25e-06] +[2024-05-17 07:01:38,757] - INFO: Epoch 2633/9999, Iter 131620: Loss = 0.021679362282156944, lr = [6.25e-06] +[2024-05-17 07:01:56,725] - INFO: Epoch 2633/9999, Iter 131640: Loss = 0.012201249599456787, lr = [6.25e-06] +[2024-05-17 07:02:16,811] - INFO: Epoch 2634/9999, Iter 131660: Loss = 0.021031269803643227, lr = [6.25e-06] +[2024-05-17 07:02:35,369] - INFO: Epoch 2634/9999, Iter 131680: Loss = 0.011250888928771019, lr = [6.25e-06] +[2024-05-17 07:02:54,257] - INFO: Epoch 2635/9999, Iter 131700: Loss = 0.015601522289216518, lr = [6.25e-06] +[2024-05-17 07:03:12,165] - INFO: Epoch 2635/9999, Iter 131720: Loss = 0.016565879806876183, lr = [6.25e-06] +[2024-05-17 07:03:30,235] - INFO: Epoch 2635/9999, Iter 131740: Loss = 0.017335880547761917, lr = [6.25e-06] +[2024-05-17 07:03:38,151] - INFO: Evaluate at epoch 2635! +[2024-05-17 07:03:41,806] - INFO: Eval PSNR (max): 38.003 (2545) SSIM (max): 0.9609 (2560) +[2024-05-17 07:03:41,806] - INFO: Eval PSNR (current): 37.998 (2635) SSIM (current): 0.9608 (2635) +[2024-05-17 07:03:41,806] - INFO: Evaluation over. +[2024-05-17 07:03:56,888] - INFO: Epoch 2636/9999, Iter 131760: Loss = 0.019327614456415176, lr = [6.25e-06] +[2024-05-17 07:04:15,481] - INFO: Epoch 2636/9999, Iter 131780: Loss = 0.010908921249210835, lr = [6.25e-06] +[2024-05-17 07:04:34,701] - INFO: Epoch 2637/9999, Iter 131800: Loss = 0.010362795554101467, lr = [6.25e-06] +[2024-05-17 07:04:51,928] - INFO: Epoch 2637/9999, Iter 131820: Loss = 0.011648047715425491, lr = [6.25e-06] +[2024-05-17 07:05:09,349] - INFO: Epoch 2637/9999, Iter 131840: Loss = 0.01464423630386591, lr = [6.25e-06] +[2024-05-17 07:05:28,925] - INFO: Epoch 2638/9999, Iter 131860: Loss = 0.011804318055510521, lr = [6.25e-06] +[2024-05-17 07:05:46,331] - INFO: Epoch 2638/9999, Iter 131880: Loss = 0.013383561745285988, lr = [6.25e-06] +[2024-05-17 07:06:05,464] - INFO: Epoch 2639/9999, Iter 131900: Loss = 0.015819117426872253, lr = [6.25e-06] +[2024-05-17 07:06:23,508] - INFO: Epoch 2639/9999, Iter 131920: Loss = 0.013709284365177155, lr = [6.25e-06] +[2024-05-17 07:06:41,712] - INFO: Epoch 2639/9999, Iter 131940: Loss = 0.011408883146941662, lr = [6.25e-06] +[2024-05-17 07:07:00,654] - INFO: Epoch 2640/9999, Iter 131960: Loss = 0.011156792752444744, lr = [6.25e-06] +[2024-05-17 07:07:18,508] - INFO: Epoch 2640/9999, Iter 131980: Loss = 0.012350761331617832, lr = [6.25e-06] +[2024-05-17 07:07:35,199] - INFO: Evaluate at epoch 2640! +[2024-05-17 07:07:42,493] - INFO: Eval PSNR (max): 38.004 (2640) SSIM (max): 0.9609 (2560) +[2024-05-17 07:07:42,494] - INFO: Eval PSNR (current): 38.004 (2640) SSIM (current): 0.9608 (2640) +[2024-05-17 07:07:42,494] - INFO: Evaluation over. +[2024-05-17 07:07:48,451] - INFO: Epoch 2641/9999, Iter 132000: Loss = 0.01879485882818699, lr = [6.25e-06] +[2024-05-17 07:08:06,417] - INFO: Epoch 2641/9999, Iter 132020: Loss = 0.01673709787428379, lr = [6.25e-06] +[2024-05-17 07:08:24,495] - INFO: Epoch 2641/9999, Iter 132040: Loss = 0.014256821945309639, lr = [6.25e-06] +[2024-05-17 07:08:44,047] - INFO: Epoch 2642/9999, Iter 132060: Loss = 0.01824646070599556, lr = [6.25e-06] +[2024-05-17 07:09:01,807] - INFO: Epoch 2642/9999, Iter 132080: Loss = 0.014545544981956482, lr = [6.25e-06] +[2024-05-17 07:09:20,824] - INFO: Epoch 2643/9999, Iter 132100: Loss = 0.020378753542900085, lr = [6.25e-06] +[2024-05-17 07:09:38,820] - INFO: Epoch 2643/9999, Iter 132120: Loss = 0.008036256767809391, lr = [6.25e-06] +[2024-05-17 07:09:56,556] - INFO: Epoch 2643/9999, Iter 132140: Loss = 0.009732278063893318, lr = [6.25e-06] +[2024-05-17 07:10:15,810] - INFO: Epoch 2644/9999, Iter 132160: Loss = 0.011087472550570965, lr = [6.25e-06] +[2024-05-17 07:10:34,427] - INFO: Epoch 2644/9999, Iter 132180: Loss = 0.010844636708498001, lr = [6.25e-06] +[2024-05-17 07:10:53,436] - INFO: Epoch 2645/9999, Iter 132200: Loss = 0.01366503071039915, lr = [6.25e-06] +[2024-05-17 07:11:11,620] - INFO: Epoch 2645/9999, Iter 132220: Loss = 0.016549570485949516, lr = [6.25e-06] +[2024-05-17 07:11:29,488] - INFO: Epoch 2645/9999, Iter 132240: Loss = 0.01173908170312643, lr = [6.25e-06] +[2024-05-17 07:11:36,982] - INFO: Evaluate at epoch 2645! +[2024-05-17 07:11:40,492] - INFO: Eval PSNR (max): 38.004 (2640) SSIM (max): 0.9609 (2560) +[2024-05-17 07:11:40,492] - INFO: Eval PSNR (current): 38.002 (2645) SSIM (current): 0.9608 (2645) +[2024-05-17 07:11:40,492] - INFO: Evaluation over. +[2024-05-17 07:11:54,956] - INFO: Epoch 2646/9999, Iter 132260: Loss = 0.008708978071808815, lr = [6.25e-06] +[2024-05-17 07:12:12,287] - INFO: Epoch 2646/9999, Iter 132280: Loss = 0.013918254524469376, lr = [6.25e-06] +[2024-05-17 07:12:31,544] - INFO: Epoch 2647/9999, Iter 132300: Loss = 0.011159581132233143, lr = [6.25e-06] +[2024-05-17 07:12:48,563] - INFO: Epoch 2647/9999, Iter 132320: Loss = 0.011003600433468819, lr = [6.25e-06] +[2024-05-17 07:13:06,084] - INFO: Epoch 2647/9999, Iter 132340: Loss = 0.013737261295318604, lr = [6.25e-06] +[2024-05-17 07:13:25,036] - INFO: Epoch 2648/9999, Iter 132360: Loss = 0.012204838916659355, lr = [6.25e-06] +[2024-05-17 07:13:42,695] - INFO: Epoch 2648/9999, Iter 132380: Loss = 0.008068167604506016, lr = [6.25e-06] +[2024-05-17 07:14:01,724] - INFO: Epoch 2649/9999, Iter 132400: Loss = 0.009163920767605305, lr = [6.25e-06] +[2024-05-17 07:14:19,638] - INFO: Epoch 2649/9999, Iter 132420: Loss = 0.013831578195095062, lr = [6.25e-06] +[2024-05-17 07:14:37,097] - INFO: Epoch 2649/9999, Iter 132440: Loss = 0.016218798235058784, lr = [6.25e-06] +[2024-05-17 07:14:56,348] - INFO: Epoch 2650/9999, Iter 132460: Loss = 0.014313728548586369, lr = [6.25e-06] +[2024-05-17 07:15:13,995] - INFO: Epoch 2650/9999, Iter 132480: Loss = 0.009800159372389317, lr = [6.25e-06] +[2024-05-17 07:15:30,601] - INFO: Evaluate at epoch 2650! +[2024-05-17 07:15:34,140] - INFO: Eval PSNR (max): 38.004 (2640) SSIM (max): 0.9609 (2560) +[2024-05-17 07:15:34,140] - INFO: Eval PSNR (current): 37.997 (2650) SSIM (current): 0.9608 (2650) +[2024-05-17 07:15:34,140] - INFO: Evaluation over. +[2024-05-17 07:15:40,185] - INFO: Epoch 2651/9999, Iter 132500: Loss = 0.013037698343396187, lr = [6.25e-06] +[2024-05-17 07:15:57,320] - INFO: Epoch 2651/9999, Iter 132520: Loss = 0.008586625568568707, lr = [6.25e-06] +[2024-05-17 07:16:14,601] - INFO: Epoch 2651/9999, Iter 132540: Loss = 0.009623079560697079, lr = [6.25e-06] +[2024-05-17 07:16:34,144] - INFO: Epoch 2652/9999, Iter 132560: Loss = 0.012127439491450787, lr = [6.25e-06] +[2024-05-17 07:16:52,332] - INFO: Epoch 2652/9999, Iter 132580: Loss = 0.016275977715849876, lr = [6.25e-06] +[2024-05-17 07:17:11,365] - INFO: Epoch 2653/9999, Iter 132600: Loss = 0.011220205575227737, lr = [6.25e-06] +[2024-05-17 07:17:29,197] - INFO: Epoch 2653/9999, Iter 132620: Loss = 0.012648544274270535, lr = [6.25e-06] +[2024-05-17 07:17:46,655] - INFO: Epoch 2653/9999, Iter 132640: Loss = 0.011123045347630978, lr = [6.25e-06] +[2024-05-17 07:18:05,445] - INFO: Epoch 2654/9999, Iter 132660: Loss = 0.01601417176425457, lr = [6.25e-06] +[2024-05-17 07:18:23,914] - INFO: Epoch 2654/9999, Iter 132680: Loss = 0.011136747896671295, lr = [6.25e-06] +[2024-05-17 07:18:42,605] - INFO: Epoch 2655/9999, Iter 132700: Loss = 0.010394169017672539, lr = [6.25e-06] +[2024-05-17 07:19:00,948] - INFO: Epoch 2655/9999, Iter 132720: Loss = 0.012819893658161163, lr = [6.25e-06] +[2024-05-17 07:19:18,960] - INFO: Epoch 2655/9999, Iter 132740: Loss = 0.009835180826485157, lr = [6.25e-06] +[2024-05-17 07:19:26,322] - INFO: Evaluate at epoch 2655! +[2024-05-17 07:19:29,742] - INFO: Eval PSNR (max): 38.004 (2640) SSIM (max): 0.9609 (2560) +[2024-05-17 07:19:29,742] - INFO: Eval PSNR (current): 38.004 (2655) SSIM (current): 0.9608 (2655) +[2024-05-17 07:19:29,743] - INFO: Evaluation over. +[2024-05-17 07:19:44,856] - INFO: Epoch 2656/9999, Iter 132760: Loss = 0.014973432756960392, lr = [6.25e-06] +[2024-05-17 07:20:02,468] - INFO: Epoch 2656/9999, Iter 132780: Loss = 0.014606737531721592, lr = [6.25e-06] +[2024-05-17 07:20:21,228] - INFO: Epoch 2657/9999, Iter 132800: Loss = 0.01188642717897892, lr = [6.25e-06] +[2024-05-17 07:20:38,680] - INFO: Epoch 2657/9999, Iter 132820: Loss = 0.01330188661813736, lr = [6.25e-06] +[2024-05-17 07:20:55,671] - INFO: Epoch 2657/9999, Iter 132840: Loss = 0.00839424692094326, lr = [6.25e-06] +[2024-05-17 07:21:15,036] - INFO: Epoch 2658/9999, Iter 132860: Loss = 0.01697275973856449, lr = [6.25e-06] +[2024-05-17 07:21:32,932] - INFO: Epoch 2658/9999, Iter 132880: Loss = 0.015831608325242996, lr = [6.25e-06] +[2024-05-17 07:21:51,744] - INFO: Epoch 2659/9999, Iter 132900: Loss = 0.014523647725582123, lr = [6.25e-06] +[2024-05-17 07:22:09,017] - INFO: Epoch 2659/9999, Iter 132920: Loss = 0.013383209705352783, lr = [6.25e-06] +[2024-05-17 07:22:26,198] - INFO: Epoch 2659/9999, Iter 132940: Loss = 0.01820790395140648, lr = [6.25e-06] +[2024-05-17 07:22:45,742] - INFO: Epoch 2660/9999, Iter 132960: Loss = 0.008645470254123211, lr = [6.25e-06] +[2024-05-17 07:23:03,884] - INFO: Epoch 2660/9999, Iter 132980: Loss = 0.016907310113310814, lr = [6.25e-06] +[2024-05-17 07:23:20,410] - INFO: Evaluate at epoch 2660! +[2024-05-17 07:23:24,003] - INFO: Eval PSNR (max): 38.004 (2640) SSIM (max): 0.9609 (2560) +[2024-05-17 07:23:24,004] - INFO: Eval PSNR (current): 37.996 (2660) SSIM (current): 0.9608 (2660) +[2024-05-17 07:23:24,004] - INFO: Evaluation over. +[2024-05-17 07:23:30,113] - INFO: Epoch 2661/9999, Iter 133000: Loss = 0.011287384666502476, lr = [6.25e-06] +[2024-05-17 07:23:47,248] - INFO: Epoch 2661/9999, Iter 133020: Loss = 0.02376597747206688, lr = [6.25e-06] +[2024-05-17 07:24:04,946] - INFO: Epoch 2661/9999, Iter 133040: Loss = 0.014478446915745735, lr = [6.25e-06] +[2024-05-17 07:24:24,583] - INFO: Epoch 2662/9999, Iter 133060: Loss = 0.013114809058606625, lr = [6.25e-06] +[2024-05-17 07:24:42,407] - INFO: Epoch 2662/9999, Iter 133080: Loss = 0.011735090985894203, lr = [6.25e-06] +[2024-05-17 07:25:01,256] - INFO: Epoch 2663/9999, Iter 133100: Loss = 0.00864643044769764, lr = [6.25e-06] +[2024-05-17 07:25:19,569] - INFO: Epoch 2663/9999, Iter 133120: Loss = 0.018979378044605255, lr = [6.25e-06] +[2024-05-17 07:25:36,732] - INFO: Epoch 2663/9999, Iter 133140: Loss = 0.01407490111887455, lr = [6.25e-06] +[2024-05-17 07:25:54,884] - INFO: Epoch 2664/9999, Iter 133160: Loss = 0.009580378420650959, lr = [6.25e-06] +[2024-05-17 07:26:12,241] - INFO: Epoch 2664/9999, Iter 133180: Loss = 0.011129913851618767, lr = [6.25e-06] +[2024-05-17 07:26:31,353] - INFO: Epoch 2665/9999, Iter 133200: Loss = 0.013464194722473621, lr = [6.25e-06] +[2024-05-17 07:26:49,592] - INFO: Epoch 2665/9999, Iter 133220: Loss = 0.008119787089526653, lr = [6.25e-06] +[2024-05-17 07:27:07,713] - INFO: Epoch 2665/9999, Iter 133240: Loss = 0.011711275205016136, lr = [6.25e-06] +[2024-05-17 07:27:15,177] - INFO: Evaluate at epoch 2665! +[2024-05-17 07:27:18,736] - INFO: Eval PSNR (max): 38.004 (2640) SSIM (max): 0.9609 (2560) +[2024-05-17 07:27:18,736] - INFO: Eval PSNR (current): 37.997 (2665) SSIM (current): 0.9608 (2665) +[2024-05-17 07:27:18,736] - INFO: Evaluation over. +[2024-05-17 07:27:33,220] - INFO: Epoch 2666/9999, Iter 133260: Loss = 0.014236971735954285, lr = [6.25e-06] +[2024-05-17 07:27:51,226] - INFO: Epoch 2666/9999, Iter 133280: Loss = 0.014440792612731457, lr = [6.25e-06] +[2024-05-17 07:28:10,116] - INFO: Epoch 2667/9999, Iter 133300: Loss = 0.01665613241493702, lr = [6.25e-06] +[2024-05-17 07:28:28,419] - INFO: Epoch 2667/9999, Iter 133320: Loss = 0.018358847126364708, lr = [6.25e-06] +[2024-05-17 07:28:46,250] - INFO: Epoch 2667/9999, Iter 133340: Loss = 0.012950162403285503, lr = [6.25e-06] +[2024-05-17 07:29:05,448] - INFO: Epoch 2668/9999, Iter 133360: Loss = 0.016975965350866318, lr = [6.25e-06] +[2024-05-17 07:29:22,991] - INFO: Epoch 2668/9999, Iter 133380: Loss = 0.011041096411645412, lr = [6.25e-06] +[2024-05-17 07:29:41,780] - INFO: Epoch 2669/9999, Iter 133400: Loss = 0.01253714133054018, lr = [6.25e-06] +[2024-05-17 07:29:59,676] - INFO: Epoch 2669/9999, Iter 133420: Loss = 0.013395191170275211, lr = [6.25e-06] +[2024-05-17 07:30:17,636] - INFO: Epoch 2669/9999, Iter 133440: Loss = 0.015936775133013725, lr = [6.25e-06] +[2024-05-17 07:30:36,864] - INFO: Epoch 2670/9999, Iter 133460: Loss = 0.017391106113791466, lr = [6.25e-06] +[2024-05-17 07:30:54,566] - INFO: Epoch 2670/9999, Iter 133480: Loss = 0.011891737580299377, lr = [6.25e-06] +[2024-05-17 07:31:10,994] - INFO: Evaluate at epoch 2670! +[2024-05-17 07:31:14,485] - INFO: Eval PSNR (max): 38.004 (2640) SSIM (max): 0.9609 (2560) +[2024-05-17 07:31:14,485] - INFO: Eval PSNR (current): 37.996 (2670) SSIM (current): 0.9608 (2670) +[2024-05-17 07:31:14,485] - INFO: Evaluation over. +[2024-05-17 07:31:20,464] - INFO: Epoch 2671/9999, Iter 133500: Loss = 0.013207321055233479, lr = [6.25e-06] +[2024-05-17 07:31:37,573] - INFO: Epoch 2671/9999, Iter 133520: Loss = 0.010080642066895962, lr = [6.25e-06] +[2024-05-17 07:31:55,048] - INFO: Epoch 2671/9999, Iter 133540: Loss = 0.015312395058572292, lr = [6.25e-06] +[2024-05-17 07:32:14,036] - INFO: Epoch 2672/9999, Iter 133560: Loss = 0.011280459351837635, lr = [6.25e-06] +[2024-05-17 07:32:32,691] - INFO: Epoch 2672/9999, Iter 133580: Loss = 0.0078619085252285, lr = [6.25e-06] +[2024-05-17 07:32:51,452] - INFO: Epoch 2673/9999, Iter 133600: Loss = 0.012322512455284595, lr = [6.25e-06] +[2024-05-17 07:33:08,374] - INFO: Epoch 2673/9999, Iter 133620: Loss = 0.014222359284758568, lr = [6.25e-06] +[2024-05-17 07:33:25,894] - INFO: Epoch 2673/9999, Iter 133640: Loss = 0.015391804277896881, lr = [6.25e-06] +[2024-05-17 07:33:44,548] - INFO: Epoch 2674/9999, Iter 133660: Loss = 0.00986755546182394, lr = [6.25e-06] +[2024-05-17 07:34:02,146] - INFO: Epoch 2674/9999, Iter 133680: Loss = 0.011724714189767838, lr = [6.25e-06] +[2024-05-17 07:34:21,235] - INFO: Epoch 2675/9999, Iter 133700: Loss = 0.01097365003079176, lr = [6.25e-06] +[2024-05-17 07:34:39,872] - INFO: Epoch 2675/9999, Iter 133720: Loss = 0.011006610468029976, lr = [6.25e-06] +[2024-05-17 07:34:57,456] - INFO: Epoch 2675/9999, Iter 133740: Loss = 0.012851713225245476, lr = [6.25e-06] +[2024-05-17 07:35:04,949] - INFO: Evaluate at epoch 2675! +[2024-05-17 07:35:08,442] - INFO: Eval PSNR (max): 38.004 (2640) SSIM (max): 0.9609 (2560) +[2024-05-17 07:35:08,442] - INFO: Eval PSNR (current): 37.995 (2675) SSIM (current): 0.9608 (2675) +[2024-05-17 07:35:08,442] - INFO: Evaluation over. +[2024-05-17 07:35:23,530] - INFO: Epoch 2676/9999, Iter 133760: Loss = 0.01068972423672676, lr = [6.25e-06] +[2024-05-17 07:35:41,876] - INFO: Epoch 2676/9999, Iter 133780: Loss = 0.012476533651351929, lr = [6.25e-06] +[2024-05-17 07:36:00,680] - INFO: Epoch 2677/9999, Iter 133800: Loss = 0.01610466279089451, lr = [6.25e-06] +[2024-05-17 07:36:18,877] - INFO: Epoch 2677/9999, Iter 133820: Loss = 0.011436625383794308, lr = [6.25e-06] +[2024-05-17 07:36:36,719] - INFO: Epoch 2677/9999, Iter 133840: Loss = 0.010834550485014915, lr = [6.25e-06] +[2024-05-17 07:36:55,548] - INFO: Epoch 2678/9999, Iter 133860: Loss = 0.017127349972724915, lr = [6.25e-06] +[2024-05-17 07:37:13,568] - INFO: Epoch 2678/9999, Iter 133880: Loss = 0.015338040888309479, lr = [6.25e-06] +[2024-05-17 07:37:32,324] - INFO: Epoch 2679/9999, Iter 133900: Loss = 0.013607606291770935, lr = [6.25e-06] +[2024-05-17 07:37:49,924] - INFO: Epoch 2679/9999, Iter 133920: Loss = 0.011279207654297352, lr = [6.25e-06] +[2024-05-17 07:38:08,173] - INFO: Epoch 2679/9999, Iter 133940: Loss = 0.014991210773587227, lr = [6.25e-06] +[2024-05-17 07:38:27,094] - INFO: Epoch 2680/9999, Iter 133960: Loss = 0.013283655047416687, lr = [6.25e-06] +[2024-05-17 07:38:44,515] - INFO: Epoch 2680/9999, Iter 133980: Loss = 0.011144635267555714, lr = [6.25e-06] +[2024-05-17 07:39:01,196] - INFO: Evaluate at epoch 2680! +[2024-05-17 07:39:04,806] - INFO: Eval PSNR (max): 38.004 (2640) SSIM (max): 0.9609 (2560) +[2024-05-17 07:39:04,807] - INFO: Eval PSNR (current): 37.998 (2680) SSIM (current): 0.9608 (2680) +[2024-05-17 07:39:04,807] - INFO: Evaluation over. +[2024-05-17 07:39:10,824] - INFO: Epoch 2681/9999, Iter 134000: Loss = 0.0175765473395586, lr = [6.25e-06] +[2024-05-17 07:39:28,354] - INFO: Epoch 2681/9999, Iter 134020: Loss = 0.014395087957382202, lr = [6.25e-06] +[2024-05-17 07:39:46,727] - INFO: Epoch 2681/9999, Iter 134040: Loss = 0.014569176360964775, lr = [6.25e-06] +[2024-05-17 07:40:04,988] - INFO: Epoch 2682/9999, Iter 134060: Loss = 0.007001114543527365, lr = [6.25e-06] +[2024-05-17 07:40:22,534] - INFO: Epoch 2682/9999, Iter 134080: Loss = 0.011184239760041237, lr = [6.25e-06] +[2024-05-17 07:40:41,698] - INFO: Epoch 2683/9999, Iter 134100: Loss = 0.012641256675124168, lr = [6.25e-06] +[2024-05-17 07:40:59,727] - INFO: Epoch 2683/9999, Iter 134120: Loss = 0.010122450068593025, lr = [6.25e-06] +[2024-05-17 07:41:17,180] - INFO: Epoch 2683/9999, Iter 134140: Loss = 0.012331042438745499, lr = [6.25e-06] +[2024-05-17 07:41:35,914] - INFO: Epoch 2684/9999, Iter 134160: Loss = 0.00797839742153883, lr = [6.25e-06] +[2024-05-17 07:41:53,962] - INFO: Epoch 2684/9999, Iter 134180: Loss = 0.013000494800508022, lr = [6.25e-06] +[2024-05-17 07:42:13,120] - INFO: Epoch 2685/9999, Iter 134200: Loss = 0.010925209149718285, lr = [6.25e-06] +[2024-05-17 07:42:31,329] - INFO: Epoch 2685/9999, Iter 134220: Loss = 0.013052750378847122, lr = [6.25e-06] +[2024-05-17 07:42:49,140] - INFO: Epoch 2685/9999, Iter 134240: Loss = 0.013220333494246006, lr = [6.25e-06] +[2024-05-17 07:42:57,024] - INFO: Evaluate at epoch 2685! +[2024-05-17 07:43:00,613] - INFO: Eval PSNR (max): 38.004 (2640) SSIM (max): 0.9609 (2560) +[2024-05-17 07:43:00,613] - INFO: Eval PSNR (current): 37.981 (2685) SSIM (current): 0.9608 (2685) +[2024-05-17 07:43:00,614] - INFO: Evaluation over. +[2024-05-17 07:43:15,346] - INFO: Epoch 2686/9999, Iter 134260: Loss = 0.01348339393734932, lr = [6.25e-06] +[2024-05-17 07:43:33,528] - INFO: Epoch 2686/9999, Iter 134280: Loss = 0.017297925427556038, lr = [6.25e-06] +[2024-05-17 07:43:53,062] - INFO: Epoch 2687/9999, Iter 134300: Loss = 0.009114488027989864, lr = [6.25e-06] +[2024-05-17 07:44:11,484] - INFO: Epoch 2687/9999, Iter 134320: Loss = 0.014706817455589771, lr = [6.25e-06] +[2024-05-17 07:44:36,232] - INFO: Epoch 2687/9999, Iter 134340: Loss = 0.012862996198236942, lr = [6.25e-06] +[2024-05-17 07:45:01,193] - INFO: Epoch 2688/9999, Iter 134360: Loss = 0.017428264021873474, lr = [6.25e-06] +[2024-05-17 07:45:24,130] - INFO: Epoch 2688/9999, Iter 134380: Loss = 0.012107633985579014, lr = [6.25e-06] +[2024-05-17 07:45:48,111] - INFO: Epoch 2689/9999, Iter 134400: Loss = 0.0078078098595142365, lr = [6.25e-06] +[2024-05-17 07:46:06,532] - INFO: Epoch 2689/9999, Iter 134420: Loss = 0.009318159893155098, lr = [6.25e-06] +[2024-05-17 07:46:23,868] - INFO: Epoch 2689/9999, Iter 134440: Loss = 0.010856974869966507, lr = [6.25e-06] +[2024-05-17 07:46:42,817] - INFO: Epoch 2690/9999, Iter 134460: Loss = 0.01067126914858818, lr = [6.25e-06] +[2024-05-17 07:47:00,954] - INFO: Epoch 2690/9999, Iter 134480: Loss = 0.010925553739070892, lr = [6.25e-06] +[2024-05-17 07:47:17,582] - INFO: Evaluate at epoch 2690! +[2024-05-17 07:47:21,140] - INFO: Eval PSNR (max): 38.004 (2640) SSIM (max): 0.9609 (2560) +[2024-05-17 07:47:21,140] - INFO: Eval PSNR (current): 38.002 (2690) SSIM (current): 0.9608 (2690) +[2024-05-17 07:47:21,140] - INFO: Evaluation over. +[2024-05-17 07:47:27,273] - INFO: Epoch 2691/9999, Iter 134500: Loss = 0.015620426274836063, lr = [6.25e-06] +[2024-05-17 07:47:45,169] - INFO: Epoch 2691/9999, Iter 134520: Loss = 0.01290800329297781, lr = [6.25e-06] +[2024-05-17 07:48:02,861] - INFO: Epoch 2691/9999, Iter 134540: Loss = 0.016008658334612846, lr = [6.25e-06] +[2024-05-17 07:48:21,620] - INFO: Epoch 2692/9999, Iter 134560: Loss = 0.01342238113284111, lr = [6.25e-06] +[2024-05-17 07:48:38,887] - INFO: Epoch 2692/9999, Iter 134580: Loss = 0.010390911251306534, lr = [6.25e-06] +[2024-05-17 07:48:57,968] - INFO: Epoch 2693/9999, Iter 134600: Loss = 0.012045580893754959, lr = [6.25e-06] +[2024-05-17 07:49:14,916] - INFO: Epoch 2693/9999, Iter 134620: Loss = 0.016596080735325813, lr = [6.25e-06] +[2024-05-17 07:49:32,435] - INFO: Epoch 2693/9999, Iter 134640: Loss = 0.013356015086174011, lr = [6.25e-06] +[2024-05-17 07:49:51,944] - INFO: Epoch 2694/9999, Iter 134660: Loss = 0.013039493933320045, lr = [6.25e-06] +[2024-05-17 07:50:09,648] - INFO: Epoch 2694/9999, Iter 134680: Loss = 0.01834231987595558, lr = [6.25e-06] +[2024-05-17 07:50:28,809] - INFO: Epoch 2695/9999, Iter 134700: Loss = 0.014735440723598003, lr = [6.25e-06] +[2024-05-17 07:50:46,708] - INFO: Epoch 2695/9999, Iter 134720: Loss = 0.017039604485034943, lr = [6.25e-06] +[2024-05-17 07:51:04,417] - INFO: Epoch 2695/9999, Iter 134740: Loss = 0.014255332760512829, lr = [6.25e-06] +[2024-05-17 07:51:12,212] - INFO: Evaluate at epoch 2695! +[2024-05-17 07:51:15,780] - INFO: Eval PSNR (max): 38.004 (2640) SSIM (max): 0.9609 (2560) +[2024-05-17 07:51:15,780] - INFO: Eval PSNR (current): 38.001 (2695) SSIM (current): 0.9608 (2695) +[2024-05-17 07:51:15,780] - INFO: Evaluation over. +[2024-05-17 07:51:30,451] - INFO: Epoch 2696/9999, Iter 134760: Loss = 0.010595100000500679, lr = [6.25e-06] +[2024-05-17 07:51:48,336] - INFO: Epoch 2696/9999, Iter 134780: Loss = 0.012897484935820103, lr = [6.25e-06] +[2024-05-17 07:52:07,646] - INFO: Epoch 2697/9999, Iter 134800: Loss = 0.012797009199857712, lr = [6.25e-06] +[2024-05-17 07:52:24,798] - INFO: Epoch 2697/9999, Iter 134820: Loss = 0.02266113832592964, lr = [6.25e-06] +[2024-05-17 07:52:42,056] - INFO: Epoch 2697/9999, Iter 134840: Loss = 0.017124226316809654, lr = [6.25e-06] +[2024-05-17 07:53:01,596] - INFO: Epoch 2698/9999, Iter 134860: Loss = 0.013672301545739174, lr = [6.25e-06] +[2024-05-17 07:53:19,182] - INFO: Epoch 2698/9999, Iter 134880: Loss = 0.009005454368889332, lr = [6.25e-06] +[2024-05-17 07:53:38,256] - INFO: Epoch 2699/9999, Iter 134900: Loss = 0.020372867584228516, lr = [6.25e-06] +[2024-05-17 07:53:55,638] - INFO: Epoch 2699/9999, Iter 134920: Loss = 0.01781780831515789, lr = [6.25e-06] +[2024-05-17 07:54:13,846] - INFO: Epoch 2699/9999, Iter 134940: Loss = 0.017258401960134506, lr = [6.25e-06] +[2024-05-17 07:54:33,284] - INFO: Epoch 2700/9999, Iter 134960: Loss = 0.014642929658293724, lr = [6.25e-06] +[2024-05-17 07:54:51,094] - INFO: Epoch 2700/9999, Iter 134980: Loss = 0.023511946201324463, lr = [6.25e-06] +[2024-05-17 07:55:07,687] - INFO: Evaluate at epoch 2700! +[2024-05-17 07:55:14,988] - INFO: Eval PSNR (max): 38.005 (2700) SSIM (max): 0.9609 (2560) +[2024-05-17 07:55:14,988] - INFO: Eval PSNR (current): 38.005 (2700) SSIM (current): 0.9608 (2700) +[2024-05-17 07:55:14,989] - INFO: Evaluation over. +[2024-05-17 07:55:20,860] - INFO: Epoch 2701/9999, Iter 135000: Loss = 0.014603971503674984, lr = [6.25e-06] +[2024-05-17 07:55:38,648] - INFO: Epoch 2701/9999, Iter 135020: Loss = 0.015652354806661606, lr = [6.25e-06] +[2024-05-17 07:55:56,064] - INFO: Epoch 2701/9999, Iter 135040: Loss = 0.015064453706145287, lr = [6.25e-06] +[2024-05-17 07:56:14,988] - INFO: Epoch 2702/9999, Iter 135060: Loss = 0.013404915109276772, lr = [6.25e-06] +[2024-05-17 07:56:32,398] - INFO: Epoch 2702/9999, Iter 135080: Loss = 0.01469117309898138, lr = [6.25e-06] +[2024-05-17 07:56:51,088] - INFO: Epoch 2703/9999, Iter 135100: Loss = 0.010199815034866333, lr = [6.25e-06] +[2024-05-17 07:57:09,295] - INFO: Epoch 2703/9999, Iter 135120: Loss = 0.0121451485902071, lr = [6.25e-06] +[2024-05-17 07:57:27,480] - INFO: Epoch 2703/9999, Iter 135140: Loss = 0.009838898666203022, lr = [6.25e-06] +[2024-05-17 07:57:46,016] - INFO: Epoch 2704/9999, Iter 135160: Loss = 0.009303312748670578, lr = [6.25e-06] +[2024-05-17 07:58:03,592] - INFO: Epoch 2704/9999, Iter 135180: Loss = 0.011056414805352688, lr = [6.25e-06] +[2024-05-17 07:58:22,747] - INFO: Epoch 2705/9999, Iter 135200: Loss = 0.011729293502867222, lr = [6.25e-06] +[2024-05-17 07:58:41,544] - INFO: Epoch 2705/9999, Iter 135220: Loss = 0.013314514420926571, lr = [6.25e-06] +[2024-05-17 07:58:59,092] - INFO: Epoch 2705/9999, Iter 135240: Loss = 0.014014248736202717, lr = [6.25e-06] +[2024-05-17 07:59:06,592] - INFO: Evaluate at epoch 2705! +[2024-05-17 07:59:10,042] - INFO: Eval PSNR (max): 38.005 (2700) SSIM (max): 0.9609 (2560) +[2024-05-17 07:59:10,043] - INFO: Eval PSNR (current): 37.994 (2705) SSIM (current): 0.9608 (2705) +[2024-05-17 07:59:10,043] - INFO: Evaluation over. +[2024-05-17 07:59:24,816] - INFO: Epoch 2706/9999, Iter 135260: Loss = 0.012556713074445724, lr = [6.25e-06] +[2024-05-17 07:59:42,049] - INFO: Epoch 2706/9999, Iter 135280: Loss = 0.016017083078622818, lr = [6.25e-06] +[2024-05-17 08:00:01,244] - INFO: Epoch 2707/9999, Iter 135300: Loss = 0.01933549903333187, lr = [6.25e-06] +[2024-05-17 08:00:19,248] - INFO: Epoch 2707/9999, Iter 135320: Loss = 0.015130318701267242, lr = [6.25e-06] +[2024-05-17 08:00:37,128] - INFO: Epoch 2707/9999, Iter 135340: Loss = 0.008600619621574879, lr = [6.25e-06] +[2024-05-17 08:00:55,524] - INFO: Epoch 2708/9999, Iter 135360: Loss = 0.011487971991300583, lr = [6.25e-06] +[2024-05-17 08:01:13,436] - INFO: Epoch 2708/9999, Iter 135380: Loss = 0.01718972437083721, lr = [6.25e-06] +[2024-05-17 08:01:32,193] - INFO: Epoch 2709/9999, Iter 135400: Loss = 0.01317011471837759, lr = [6.25e-06] +[2024-05-17 08:01:50,273] - INFO: Epoch 2709/9999, Iter 135420: Loss = 0.013005804270505905, lr = [6.25e-06] +[2024-05-17 08:02:08,167] - INFO: Epoch 2709/9999, Iter 135440: Loss = 0.014050425961613655, lr = [6.25e-06] +[2024-05-17 08:02:27,032] - INFO: Epoch 2710/9999, Iter 135460: Loss = 0.009216079488396645, lr = [6.25e-06] +[2024-05-17 08:02:44,156] - INFO: Epoch 2710/9999, Iter 135480: Loss = 0.01601688750088215, lr = [6.25e-06] +[2024-05-17 08:03:00,955] - INFO: Evaluate at epoch 2710! +[2024-05-17 08:03:04,461] - INFO: Eval PSNR (max): 38.005 (2700) SSIM (max): 0.9609 (2560) +[2024-05-17 08:03:04,461] - INFO: Eval PSNR (current): 37.993 (2710) SSIM (current): 0.9608 (2710) +[2024-05-17 08:03:04,461] - INFO: Evaluation over. +[2024-05-17 08:03:10,602] - INFO: Epoch 2711/9999, Iter 135500: Loss = 0.009130831807851791, lr = [6.25e-06] +[2024-05-17 08:03:28,486] - INFO: Epoch 2711/9999, Iter 135520: Loss = 0.016698749735951424, lr = [6.25e-06] +[2024-05-17 08:03:45,878] - INFO: Epoch 2711/9999, Iter 135540: Loss = 0.012245588935911655, lr = [6.25e-06] +[2024-05-17 08:04:05,210] - INFO: Epoch 2712/9999, Iter 135560: Loss = 0.013082283549010754, lr = [6.25e-06] +[2024-05-17 08:04:23,123] - INFO: Epoch 2712/9999, Iter 135580: Loss = 0.02005532570183277, lr = [6.25e-06] +[2024-05-17 08:04:42,284] - INFO: Epoch 2713/9999, Iter 135600: Loss = 0.015180021524429321, lr = [6.25e-06] +[2024-05-17 08:05:00,164] - INFO: Epoch 2713/9999, Iter 135620: Loss = 0.016954610124230385, lr = [6.25e-06] +[2024-05-17 08:05:17,846] - INFO: Epoch 2713/9999, Iter 135640: Loss = 0.010752896778285503, lr = [6.25e-06] +[2024-05-17 08:05:37,244] - INFO: Epoch 2714/9999, Iter 135660: Loss = 0.01351268868893385, lr = [6.25e-06] +[2024-05-17 08:05:55,162] - INFO: Epoch 2714/9999, Iter 135680: Loss = 0.016829121857881546, lr = [6.25e-06] +[2024-05-17 08:06:14,226] - INFO: Epoch 2715/9999, Iter 135700: Loss = 0.012645186856389046, lr = [6.25e-06] +[2024-05-17 08:06:31,104] - INFO: Epoch 2715/9999, Iter 135720: Loss = 0.016229722648859024, lr = [6.25e-06] +[2024-05-17 08:06:48,735] - INFO: Epoch 2715/9999, Iter 135740: Loss = 0.00870208814740181, lr = [6.25e-06] +[2024-05-17 08:06:57,186] - INFO: Evaluate at epoch 2715! +[2024-05-17 08:07:00,796] - INFO: Eval PSNR (max): 38.005 (2700) SSIM (max): 0.9609 (2560) +[2024-05-17 08:07:00,797] - INFO: Eval PSNR (current): 37.991 (2715) SSIM (current): 0.9608 (2715) +[2024-05-17 08:07:00,797] - INFO: Evaluation over. +[2024-05-17 08:07:15,507] - INFO: Epoch 2716/9999, Iter 135760: Loss = 0.013338956981897354, lr = [6.25e-06] +[2024-05-17 08:07:33,064] - INFO: Epoch 2716/9999, Iter 135780: Loss = 0.014093832112848759, lr = [6.25e-06] +[2024-05-17 08:07:52,144] - INFO: Epoch 2717/9999, Iter 135800: Loss = 0.01371185015887022, lr = [6.25e-06] +[2024-05-17 08:08:09,971] - INFO: Epoch 2717/9999, Iter 135820: Loss = 0.01400301605463028, lr = [6.25e-06] +[2024-05-17 08:08:28,158] - INFO: Epoch 2717/9999, Iter 135840: Loss = 0.017045358195900917, lr = [6.25e-06] +[2024-05-17 08:08:47,328] - INFO: Epoch 2718/9999, Iter 135860: Loss = 0.016495155170559883, lr = [6.25e-06] +[2024-05-17 08:09:04,644] - INFO: Epoch 2718/9999, Iter 135880: Loss = 0.01796315237879753, lr = [6.25e-06] +[2024-05-17 08:09:24,364] - INFO: Epoch 2719/9999, Iter 135900: Loss = 0.015519250184297562, lr = [6.25e-06] +[2024-05-17 08:09:41,442] - INFO: Epoch 2719/9999, Iter 135920: Loss = 0.015440592542290688, lr = [6.25e-06] +[2024-05-17 08:09:58,945] - INFO: Epoch 2719/9999, Iter 135940: Loss = 0.014597839675843716, lr = [6.25e-06] +[2024-05-17 08:10:17,832] - INFO: Epoch 2720/9999, Iter 135960: Loss = 0.01665114052593708, lr = [6.25e-06] +[2024-05-17 08:10:34,992] - INFO: Epoch 2720/9999, Iter 135980: Loss = 0.017378659918904305, lr = [6.25e-06] +[2024-05-17 08:10:51,700] - INFO: Evaluate at epoch 2720! +[2024-05-17 08:10:58,819] - INFO: Eval PSNR (max): 38.006 (2720) SSIM (max): 0.9609 (2560) +[2024-05-17 08:10:58,819] - INFO: Eval PSNR (current): 38.006 (2720) SSIM (current): 0.9608 (2720) +[2024-05-17 08:10:58,820] - INFO: Evaluation over. +[2024-05-17 08:11:04,952] - INFO: Epoch 2721/9999, Iter 136000: Loss = 0.012919498607516289, lr = [6.25e-06] +[2024-05-17 08:11:23,226] - INFO: Epoch 2721/9999, Iter 136020: Loss = 0.013265073299407959, lr = [6.25e-06] +[2024-05-17 08:11:40,900] - INFO: Epoch 2721/9999, Iter 136040: Loss = 0.01338900625705719, lr = [6.25e-06] +[2024-05-17 08:11:59,921] - INFO: Epoch 2722/9999, Iter 136060: Loss = 0.011253937147557735, lr = [6.25e-06] +[2024-05-17 08:12:17,652] - INFO: Epoch 2722/9999, Iter 136080: Loss = 0.012572212144732475, lr = [6.25e-06] +[2024-05-17 08:12:36,430] - INFO: Epoch 2723/9999, Iter 136100: Loss = 0.010405448265373707, lr = [6.25e-06] +[2024-05-17 08:12:54,501] - INFO: Epoch 2723/9999, Iter 136120: Loss = 0.01572372019290924, lr = [6.25e-06] +[2024-05-17 08:13:12,447] - INFO: Epoch 2723/9999, Iter 136140: Loss = 0.009552926756441593, lr = [6.25e-06] +[2024-05-17 08:13:31,370] - INFO: Epoch 2724/9999, Iter 136160: Loss = 0.010987544432282448, lr = [6.25e-06] +[2024-05-17 08:13:48,977] - INFO: Epoch 2724/9999, Iter 136180: Loss = 0.014889361336827278, lr = [6.25e-06] +[2024-05-17 08:14:08,049] - INFO: Epoch 2725/9999, Iter 136200: Loss = 0.012298907153308392, lr = [6.25e-06] +[2024-05-17 08:14:24,895] - INFO: Epoch 2725/9999, Iter 136220: Loss = 0.012650120072066784, lr = [6.25e-06] +[2024-05-17 08:14:43,082] - INFO: Epoch 2725/9999, Iter 136240: Loss = 0.012825140729546547, lr = [6.25e-06] +[2024-05-17 08:14:51,166] - INFO: Evaluate at epoch 2725! +[2024-05-17 08:14:54,654] - INFO: Eval PSNR (max): 38.006 (2720) SSIM (max): 0.9609 (2560) +[2024-05-17 08:14:54,655] - INFO: Eval PSNR (current): 37.993 (2725) SSIM (current): 0.9608 (2725) +[2024-05-17 08:14:54,655] - INFO: Evaluation over. +[2024-05-17 08:15:09,838] - INFO: Epoch 2726/9999, Iter 136260: Loss = 0.017565809190273285, lr = [6.25e-06] +[2024-05-17 08:15:27,766] - INFO: Epoch 2726/9999, Iter 136280: Loss = 0.012152728624641895, lr = [6.25e-06] +[2024-05-17 08:15:46,658] - INFO: Epoch 2727/9999, Iter 136300: Loss = 0.012301366776227951, lr = [6.25e-06] +[2024-05-17 08:16:04,964] - INFO: Epoch 2727/9999, Iter 136320: Loss = 0.014834681525826454, lr = [6.25e-06] +[2024-05-17 08:16:22,739] - INFO: Epoch 2727/9999, Iter 136340: Loss = 0.012476111762225628, lr = [6.25e-06] +[2024-05-17 08:16:41,884] - INFO: Epoch 2728/9999, Iter 136360: Loss = 0.012297552078962326, lr = [6.25e-06] +[2024-05-17 08:17:00,044] - INFO: Epoch 2728/9999, Iter 136380: Loss = 0.012190410867333412, lr = [6.25e-06] +[2024-05-17 08:17:18,573] - INFO: Epoch 2729/9999, Iter 136400: Loss = 0.012796041555702686, lr = [6.25e-06] +[2024-05-17 08:17:36,487] - INFO: Epoch 2729/9999, Iter 136420: Loss = 0.01016097143292427, lr = [6.25e-06] +[2024-05-17 08:17:55,025] - INFO: Epoch 2729/9999, Iter 136440: Loss = 0.010644449852406979, lr = [6.25e-06] +[2024-05-17 08:18:13,898] - INFO: Epoch 2730/9999, Iter 136460: Loss = 0.013240485452115536, lr = [6.25e-06] +[2024-05-17 08:18:31,527] - INFO: Epoch 2730/9999, Iter 136480: Loss = 0.008702647872269154, lr = [6.25e-06] +[2024-05-17 08:18:48,858] - INFO: Evaluate at epoch 2730! +[2024-05-17 08:18:52,341] - INFO: Eval PSNR (max): 38.006 (2720) SSIM (max): 0.9609 (2560) +[2024-05-17 08:18:52,341] - INFO: Eval PSNR (current): 37.994 (2730) SSIM (current): 0.9608 (2730) +[2024-05-17 08:18:52,342] - INFO: Evaluation over. +[2024-05-17 08:18:58,312] - INFO: Epoch 2731/9999, Iter 136500: Loss = 0.01049286313354969, lr = [6.25e-06] +[2024-05-17 08:19:16,256] - INFO: Epoch 2731/9999, Iter 136520: Loss = 0.013825139962136745, lr = [6.25e-06] +[2024-05-17 08:19:33,215] - INFO: Epoch 2731/9999, Iter 136540: Loss = 0.01009100116789341, lr = [6.25e-06] +[2024-05-17 08:19:52,296] - INFO: Epoch 2732/9999, Iter 136560: Loss = 0.01772063784301281, lr = [6.25e-06] +[2024-05-17 08:20:10,258] - INFO: Epoch 2732/9999, Iter 136580: Loss = 0.017560571432113647, lr = [6.25e-06] +[2024-05-17 08:20:29,538] - INFO: Epoch 2733/9999, Iter 136600: Loss = 0.015453643165528774, lr = [6.25e-06] +[2024-05-17 08:20:47,333] - INFO: Epoch 2733/9999, Iter 136620: Loss = 0.016248764470219612, lr = [6.25e-06] +[2024-05-17 08:21:05,904] - INFO: Epoch 2733/9999, Iter 136640: Loss = 0.011581401340663433, lr = [6.25e-06] +[2024-05-17 08:21:24,567] - INFO: Epoch 2734/9999, Iter 136660: Loss = 0.010418028570711613, lr = [6.25e-06] +[2024-05-17 08:21:41,679] - INFO: Epoch 2734/9999, Iter 136680: Loss = 0.010286078788340092, lr = [6.25e-06] +[2024-05-17 08:22:00,516] - INFO: Epoch 2735/9999, Iter 136700: Loss = 0.00875159539282322, lr = [6.25e-06] +[2024-05-17 08:22:18,663] - INFO: Epoch 2735/9999, Iter 136720: Loss = 0.015267683193087578, lr = [6.25e-06] +[2024-05-17 08:22:36,446] - INFO: Epoch 2735/9999, Iter 136740: Loss = 0.010563502088189125, lr = [6.25e-06] +[2024-05-17 08:22:43,880] - INFO: Evaluate at epoch 2735! +[2024-05-17 08:22:47,479] - INFO: Eval PSNR (max): 38.006 (2720) SSIM (max): 0.9609 (2560) +[2024-05-17 08:22:47,479] - INFO: Eval PSNR (current): 37.993 (2735) SSIM (current): 0.9608 (2735) +[2024-05-17 08:22:47,479] - INFO: Evaluation over. +[2024-05-17 08:23:02,968] - INFO: Epoch 2736/9999, Iter 136760: Loss = 0.014458839781582355, lr = [6.25e-06] +[2024-05-17 08:23:21,045] - INFO: Epoch 2736/9999, Iter 136780: Loss = 0.009636998176574707, lr = [6.25e-06] +[2024-05-17 08:23:40,341] - INFO: Epoch 2737/9999, Iter 136800: Loss = 0.01668664999306202, lr = [6.25e-06] +[2024-05-17 08:23:57,393] - INFO: Epoch 2737/9999, Iter 136820: Loss = 0.015463805757462978, lr = [6.25e-06] +[2024-05-17 08:24:15,007] - INFO: Epoch 2737/9999, Iter 136840: Loss = 0.01312590204179287, lr = [6.25e-06] +[2024-05-17 08:24:33,903] - INFO: Epoch 2738/9999, Iter 136860: Loss = 0.017373228445649147, lr = [6.25e-06] +[2024-05-17 08:24:52,007] - INFO: Epoch 2738/9999, Iter 136880: Loss = 0.018165387213230133, lr = [6.25e-06] +[2024-05-17 08:25:11,101] - INFO: Epoch 2739/9999, Iter 136900: Loss = 0.011187358759343624, lr = [6.25e-06] +[2024-05-17 08:25:29,203] - INFO: Epoch 2739/9999, Iter 136920: Loss = 0.00850899051874876, lr = [6.25e-06] +[2024-05-17 08:25:46,650] - INFO: Epoch 2739/9999, Iter 136940: Loss = 0.018989095464348793, lr = [6.25e-06] +[2024-05-17 08:26:05,516] - INFO: Epoch 2740/9999, Iter 136960: Loss = 0.009466502815485, lr = [6.25e-06] +[2024-05-17 08:26:23,108] - INFO: Epoch 2740/9999, Iter 136980: Loss = 0.011907342821359634, lr = [6.25e-06] +[2024-05-17 08:26:39,186] - INFO: Evaluate at epoch 2740! +[2024-05-17 08:26:42,904] - INFO: Eval PSNR (max): 38.006 (2720) SSIM (max): 0.9609 (2560) +[2024-05-17 08:26:42,905] - INFO: Eval PSNR (current): 37.988 (2740) SSIM (current): 0.9608 (2740) +[2024-05-17 08:26:42,905] - INFO: Evaluation over. +[2024-05-17 08:26:49,096] - INFO: Epoch 2741/9999, Iter 137000: Loss = 0.011135668493807316, lr = [6.25e-06] +[2024-05-17 08:27:07,387] - INFO: Epoch 2741/9999, Iter 137020: Loss = 0.010017395950853825, lr = [6.25e-06] +[2024-05-17 08:27:25,207] - INFO: Epoch 2741/9999, Iter 137040: Loss = 0.013392649590969086, lr = [6.25e-06] +[2024-05-17 08:27:43,984] - INFO: Epoch 2742/9999, Iter 137060: Loss = 0.01174786128103733, lr = [6.25e-06] +[2024-05-17 08:28:01,380] - INFO: Epoch 2742/9999, Iter 137080: Loss = 0.014080983586609364, lr = [6.25e-06] +[2024-05-17 08:28:20,539] - INFO: Epoch 2743/9999, Iter 137100: Loss = 0.014769296161830425, lr = [6.25e-06] +[2024-05-17 08:28:39,208] - INFO: Epoch 2743/9999, Iter 137120: Loss = 0.012207075953483582, lr = [6.25e-06] +[2024-05-17 08:28:56,704] - INFO: Epoch 2743/9999, Iter 137140: Loss = 0.013159976340830326, lr = [6.25e-06] +[2024-05-17 08:29:15,421] - INFO: Epoch 2744/9999, Iter 137160: Loss = 0.009796288795769215, lr = [6.25e-06] +[2024-05-17 08:29:33,126] - INFO: Epoch 2744/9999, Iter 137180: Loss = 0.013354284688830376, lr = [6.25e-06] +[2024-05-17 08:29:52,480] - INFO: Epoch 2745/9999, Iter 137200: Loss = 0.015818476676940918, lr = [6.25e-06] +[2024-05-17 08:30:09,964] - INFO: Epoch 2745/9999, Iter 137220: Loss = 0.015342527069151402, lr = [6.25e-06] +[2024-05-17 08:30:28,310] - INFO: Epoch 2745/9999, Iter 137240: Loss = 0.007893486879765987, lr = [6.25e-06] +[2024-05-17 08:30:35,685] - INFO: Evaluate at epoch 2745! +[2024-05-17 08:30:39,130] - INFO: Eval PSNR (max): 38.006 (2720) SSIM (max): 0.9609 (2560) +[2024-05-17 08:30:39,131] - INFO: Eval PSNR (current): 37.989 (2745) SSIM (current): 0.9608 (2745) +[2024-05-17 08:30:39,131] - INFO: Evaluation over. +[2024-05-17 08:30:53,787] - INFO: Epoch 2746/9999, Iter 137260: Loss = 0.011854778975248337, lr = [6.25e-06] +[2024-05-17 08:31:11,060] - INFO: Epoch 2746/9999, Iter 137280: Loss = 0.009961112402379513, lr = [6.25e-06] +[2024-05-17 08:31:29,778] - INFO: Epoch 2747/9999, Iter 137300: Loss = 0.02057676389813423, lr = [6.25e-06] +[2024-05-17 08:31:47,924] - INFO: Epoch 2747/9999, Iter 137320: Loss = 0.011958510614931583, lr = [6.25e-06] +[2024-05-17 08:32:05,029] - INFO: Epoch 2747/9999, Iter 137340: Loss = 0.014310860075056553, lr = [6.25e-06] +[2024-05-17 08:32:23,811] - INFO: Epoch 2748/9999, Iter 137360: Loss = 0.016519153490662575, lr = [6.25e-06] +[2024-05-17 08:32:40,383] - INFO: Epoch 2748/9999, Iter 137380: Loss = 0.010966263711452484, lr = [6.25e-06] +[2024-05-17 08:32:59,894] - INFO: Epoch 2749/9999, Iter 137400: Loss = 0.011977971531450748, lr = [6.25e-06] +[2024-05-17 08:33:17,522] - INFO: Epoch 2749/9999, Iter 137420: Loss = 0.009745500050485134, lr = [6.25e-06] +[2024-05-17 08:33:35,494] - INFO: Epoch 2749/9999, Iter 137440: Loss = 0.012297180481255054, lr = [6.25e-06] +[2024-05-17 08:33:54,957] - INFO: Epoch 2750/9999, Iter 137460: Loss = 0.009250384755432606, lr = [6.25e-06] +[2024-05-17 08:34:12,173] - INFO: Epoch 2750/9999, Iter 137480: Loss = 0.012447468005120754, lr = [6.25e-06] +[2024-05-17 08:34:28,906] - INFO: Evaluate at epoch 2750! +[2024-05-17 08:34:32,482] - INFO: Eval PSNR (max): 38.006 (2720) SSIM (max): 0.9609 (2560) +[2024-05-17 08:34:32,482] - INFO: Eval PSNR (current): 37.997 (2750) SSIM (current): 0.9608 (2750) +[2024-05-17 08:34:32,483] - INFO: Evaluation over. +[2024-05-17 08:34:38,396] - INFO: Epoch 2751/9999, Iter 137500: Loss = 0.01570632867515087, lr = [6.25e-06] +[2024-05-17 08:34:55,846] - INFO: Epoch 2751/9999, Iter 137520: Loss = 0.012095201760530472, lr = [6.25e-06] +[2024-05-17 08:35:13,676] - INFO: Epoch 2751/9999, Iter 137540: Loss = 0.013492094352841377, lr = [6.25e-06] +[2024-05-17 08:35:32,561] - INFO: Epoch 2752/9999, Iter 137560: Loss = 0.011797504499554634, lr = [6.25e-06] +[2024-05-17 08:35:49,924] - INFO: Epoch 2752/9999, Iter 137580: Loss = 0.009395991452038288, lr = [6.25e-06] +[2024-05-17 08:36:09,334] - INFO: Epoch 2753/9999, Iter 137600: Loss = 0.010599319823086262, lr = [6.25e-06] +[2024-05-17 08:36:27,791] - INFO: Epoch 2753/9999, Iter 137620: Loss = 0.01283093262463808, lr = [6.25e-06] +[2024-05-17 08:36:46,166] - INFO: Epoch 2753/9999, Iter 137640: Loss = 0.011562935076653957, lr = [6.25e-06] +[2024-05-17 08:37:04,874] - INFO: Epoch 2754/9999, Iter 137660: Loss = 0.008761671371757984, lr = [6.25e-06] +[2024-05-17 08:37:22,834] - INFO: Epoch 2754/9999, Iter 137680: Loss = 0.008771595545113087, lr = [6.25e-06] +[2024-05-17 08:37:41,855] - INFO: Epoch 2755/9999, Iter 137700: Loss = 0.01811985857784748, lr = [6.25e-06] +[2024-05-17 08:38:00,090] - INFO: Epoch 2755/9999, Iter 137720: Loss = 0.006841160822659731, lr = [6.25e-06] +[2024-05-17 08:38:18,191] - INFO: Epoch 2755/9999, Iter 137740: Loss = 0.01287372037768364, lr = [6.25e-06] +[2024-05-17 08:38:25,779] - INFO: Evaluate at epoch 2755! +[2024-05-17 08:38:29,308] - INFO: Eval PSNR (max): 38.006 (2720) SSIM (max): 0.9609 (2560) +[2024-05-17 08:38:29,308] - INFO: Eval PSNR (current): 37.979 (2755) SSIM (current): 0.9608 (2755) +[2024-05-17 08:38:29,308] - INFO: Evaluation over. +[2024-05-17 08:38:43,978] - INFO: Epoch 2756/9999, Iter 137760: Loss = 0.014625512063503265, lr = [6.25e-06] +[2024-05-17 08:39:01,512] - INFO: Epoch 2756/9999, Iter 137780: Loss = 0.008881117217242718, lr = [6.25e-06] +[2024-05-17 08:39:20,441] - INFO: Epoch 2757/9999, Iter 137800: Loss = 0.009177489206194878, lr = [6.25e-06] +[2024-05-17 08:39:37,619] - INFO: Epoch 2757/9999, Iter 137820: Loss = 0.013374201022088528, lr = [6.25e-06] +[2024-05-17 08:39:55,390] - INFO: Epoch 2757/9999, Iter 137840: Loss = 0.01387242041528225, lr = [6.25e-06] +[2024-05-17 08:40:14,536] - INFO: Epoch 2758/9999, Iter 137860: Loss = 0.011930770240724087, lr = [6.25e-06] +[2024-05-17 08:40:31,504] - INFO: Epoch 2758/9999, Iter 137880: Loss = 0.01431271992623806, lr = [6.25e-06] +[2024-05-17 08:40:50,824] - INFO: Epoch 2759/9999, Iter 137900: Loss = 0.01615929789841175, lr = [6.25e-06] +[2024-05-17 08:41:08,013] - INFO: Epoch 2759/9999, Iter 137920: Loss = 0.011048967950046062, lr = [6.25e-06] +[2024-05-17 08:41:25,012] - INFO: Epoch 2759/9999, Iter 137940: Loss = 0.01596294343471527, lr = [6.25e-06] +[2024-05-17 08:41:44,128] - INFO: Epoch 2760/9999, Iter 137960: Loss = 0.011118697002530098, lr = [6.25e-06] +[2024-05-17 08:42:01,933] - INFO: Epoch 2760/9999, Iter 137980: Loss = 0.013614981435239315, lr = [6.25e-06] +[2024-05-17 08:42:18,331] - INFO: Evaluate at epoch 2760! +[2024-05-17 08:42:21,960] - INFO: Eval PSNR (max): 38.006 (2720) SSIM (max): 0.9609 (2560) +[2024-05-17 08:42:21,960] - INFO: Eval PSNR (current): 37.993 (2760) SSIM (current): 0.9608 (2760) +[2024-05-17 08:42:21,960] - INFO: Evaluation over. +[2024-05-17 08:42:27,813] - INFO: Epoch 2761/9999, Iter 138000: Loss = 0.01369108259677887, lr = [6.25e-06] +[2024-05-17 08:42:45,827] - INFO: Epoch 2761/9999, Iter 138020: Loss = 0.012094787321984768, lr = [6.25e-06] +[2024-05-17 08:43:03,712] - INFO: Epoch 2761/9999, Iter 138040: Loss = 0.009057970717549324, lr = [6.25e-06] +[2024-05-17 08:43:22,880] - INFO: Epoch 2762/9999, Iter 138060: Loss = 0.015467319637537003, lr = [6.25e-06] +[2024-05-17 08:43:40,381] - INFO: Epoch 2762/9999, Iter 138080: Loss = 0.012416602112352848, lr = [6.25e-06] +[2024-05-17 08:43:59,523] - INFO: Epoch 2763/9999, Iter 138100: Loss = 0.008917562663555145, lr = [6.25e-06] +[2024-05-17 08:44:17,000] - INFO: Epoch 2763/9999, Iter 138120: Loss = 0.013093546964228153, lr = [6.25e-06] +[2024-05-17 08:44:34,152] - INFO: Epoch 2763/9999, Iter 138140: Loss = 0.011454158462584019, lr = [6.25e-06] +[2024-05-17 08:44:53,855] - INFO: Epoch 2764/9999, Iter 138160: Loss = 0.009199324995279312, lr = [6.25e-06] +[2024-05-17 08:45:11,891] - INFO: Epoch 2764/9999, Iter 138180: Loss = 0.015386748127639294, lr = [6.25e-06] +[2024-05-17 08:45:30,544] - INFO: Epoch 2765/9999, Iter 138200: Loss = 0.012002039700746536, lr = [6.25e-06] +[2024-05-17 08:45:47,432] - INFO: Epoch 2765/9999, Iter 138220: Loss = 0.013287913054227829, lr = [6.25e-06] +[2024-05-17 08:46:05,020] - INFO: Epoch 2765/9999, Iter 138240: Loss = 0.015449564903974533, lr = [6.25e-06] +[2024-05-17 08:46:13,191] - INFO: Evaluate at epoch 2765! +[2024-05-17 08:46:16,835] - INFO: Eval PSNR (max): 38.006 (2720) SSIM (max): 0.9609 (2560) +[2024-05-17 08:46:16,836] - INFO: Eval PSNR (current): 37.995 (2765) SSIM (current): 0.9608 (2765) +[2024-05-17 08:46:16,836] - INFO: Evaluation over. +[2024-05-17 08:46:31,057] - INFO: Epoch 2766/9999, Iter 138260: Loss = 0.011326832696795464, lr = [6.25e-06] +[2024-05-17 08:46:49,093] - INFO: Epoch 2766/9999, Iter 138280: Loss = 0.014509857632219791, lr = [6.25e-06] +[2024-05-17 08:47:08,273] - INFO: Epoch 2767/9999, Iter 138300: Loss = 0.0163897555321455, lr = [6.25e-06] +[2024-05-17 08:47:25,816] - INFO: Epoch 2767/9999, Iter 138320: Loss = 0.013724236749112606, lr = [6.25e-06] +[2024-05-17 08:47:43,520] - INFO: Epoch 2767/9999, Iter 138340: Loss = 0.010756946168839931, lr = [6.25e-06] +[2024-05-17 08:48:02,536] - INFO: Epoch 2768/9999, Iter 138360: Loss = 0.014268592931330204, lr = [6.25e-06] +[2024-05-17 08:48:20,124] - INFO: Epoch 2768/9999, Iter 138380: Loss = 0.010422640480101109, lr = [6.25e-06] +[2024-05-17 08:48:39,014] - INFO: Epoch 2769/9999, Iter 138400: Loss = 0.013547632843255997, lr = [6.25e-06] +[2024-05-17 08:48:56,184] - INFO: Epoch 2769/9999, Iter 138420: Loss = 0.013643420301377773, lr = [6.25e-06] +[2024-05-17 08:49:14,448] - INFO: Epoch 2769/9999, Iter 138440: Loss = 0.010531635954976082, lr = [6.25e-06] +[2024-05-17 08:49:33,243] - INFO: Epoch 2770/9999, Iter 138460: Loss = 0.013237401843070984, lr = [6.25e-06] +[2024-05-17 08:49:51,184] - INFO: Epoch 2770/9999, Iter 138480: Loss = 0.015361522324383259, lr = [6.25e-06] +[2024-05-17 08:50:08,167] - INFO: Evaluate at epoch 2770! +[2024-05-17 08:50:11,730] - INFO: Eval PSNR (max): 38.006 (2720) SSIM (max): 0.9609 (2560) +[2024-05-17 08:50:11,730] - INFO: Eval PSNR (current): 37.994 (2770) SSIM (current): 0.9608 (2770) +[2024-05-17 08:50:11,730] - INFO: Evaluation over. +[2024-05-17 08:50:17,787] - INFO: Epoch 2771/9999, Iter 138500: Loss = 0.012938021682202816, lr = [6.25e-06] +[2024-05-17 08:50:35,631] - INFO: Epoch 2771/9999, Iter 138520: Loss = 0.01045627798885107, lr = [6.25e-06] +[2024-05-17 08:50:53,781] - INFO: Epoch 2771/9999, Iter 138540: Loss = 0.016612807288765907, lr = [6.25e-06] +[2024-05-17 08:51:11,824] - INFO: Epoch 2772/9999, Iter 138560: Loss = 0.00921256560832262, lr = [6.25e-06] +[2024-05-17 08:51:29,640] - INFO: Epoch 2772/9999, Iter 138580: Loss = 0.015955422073602676, lr = [6.25e-06] +[2024-05-17 08:51:48,249] - INFO: Epoch 2773/9999, Iter 138600: Loss = 0.01629284769296646, lr = [6.25e-06] +[2024-05-17 08:52:06,028] - INFO: Epoch 2773/9999, Iter 138620: Loss = 0.011336988769471645, lr = [6.25e-06] +[2024-05-17 08:52:23,981] - INFO: Epoch 2773/9999, Iter 138640: Loss = 0.010760054923593998, lr = [6.25e-06] +[2024-05-17 08:52:43,393] - INFO: Epoch 2774/9999, Iter 138660: Loss = 0.01293132733553648, lr = [6.25e-06] +[2024-05-17 08:53:01,261] - INFO: Epoch 2774/9999, Iter 138680: Loss = 0.010331781581044197, lr = [6.25e-06] +[2024-05-17 08:53:20,632] - INFO: Epoch 2775/9999, Iter 138700: Loss = 0.00859373714774847, lr = [6.25e-06] +[2024-05-17 08:53:38,620] - INFO: Epoch 2775/9999, Iter 138720: Loss = 0.012842897325754166, lr = [6.25e-06] +[2024-05-17 08:53:56,963] - INFO: Epoch 2775/9999, Iter 138740: Loss = 0.016543854027986526, lr = [6.25e-06] +[2024-05-17 08:54:06,490] - INFO: Evaluate at epoch 2775! +[2024-05-17 08:54:14,291] - INFO: Eval PSNR (max): 38.008 (2775) SSIM (max): 0.9609 (2560) +[2024-05-17 08:54:14,291] - INFO: Eval PSNR (current): 38.008 (2775) SSIM (current): 0.9608 (2775) +[2024-05-17 08:54:14,291] - INFO: Evaluation over. +[2024-05-17 08:54:31,168] - INFO: Epoch 2776/9999, Iter 138760: Loss = 0.011816779151558876, lr = [6.25e-06] +[2024-05-17 08:54:52,906] - INFO: Epoch 2776/9999, Iter 138780: Loss = 0.009435681626200676, lr = [6.25e-06] +[2024-05-17 08:55:15,735] - INFO: Epoch 2777/9999, Iter 138800: Loss = 0.012841581366956234, lr = [6.25e-06] +[2024-05-17 08:55:37,001] - INFO: Epoch 2777/9999, Iter 138820: Loss = 0.015517841093242168, lr = [6.25e-06] +[2024-05-17 08:55:58,427] - INFO: Epoch 2777/9999, Iter 138840: Loss = 0.015218821354210377, lr = [6.25e-06] +[2024-05-17 08:56:21,155] - INFO: Epoch 2778/9999, Iter 138860: Loss = 0.01898864097893238, lr = [6.25e-06] +[2024-05-17 08:56:42,698] - INFO: Epoch 2778/9999, Iter 138880: Loss = 0.011168350465595722, lr = [6.25e-06] +[2024-05-17 08:57:05,487] - INFO: Epoch 2779/9999, Iter 138900: Loss = 0.010078680701553822, lr = [6.25e-06] +[2024-05-17 08:57:24,892] - INFO: Epoch 2779/9999, Iter 138920: Loss = 0.013709361664950848, lr = [6.25e-06] +[2024-05-17 08:57:45,887] - INFO: Epoch 2779/9999, Iter 138940: Loss = 0.018910622224211693, lr = [6.25e-06] +[2024-05-17 08:58:09,189] - INFO: Epoch 2780/9999, Iter 138960: Loss = 0.01888584904372692, lr = [6.25e-06] +[2024-05-17 08:58:29,908] - INFO: Epoch 2780/9999, Iter 138980: Loss = 0.018042342737317085, lr = [6.25e-06] +[2024-05-17 08:58:49,104] - INFO: Evaluate at epoch 2780! +[2024-05-17 08:58:53,282] - INFO: Eval PSNR (max): 38.008 (2775) SSIM (max): 0.9609 (2560) +[2024-05-17 08:58:53,282] - INFO: Eval PSNR (current): 37.997 (2780) SSIM (current): 0.9608 (2780) +[2024-05-17 08:58:53,283] - INFO: Evaluation over. +[2024-05-17 08:59:00,163] - INFO: Epoch 2781/9999, Iter 139000: Loss = 0.010134146548807621, lr = [6.25e-06] +[2024-05-17 08:59:21,357] - INFO: Epoch 2781/9999, Iter 139020: Loss = 0.010554485954344273, lr = [6.25e-06] +[2024-05-17 08:59:41,901] - INFO: Epoch 2781/9999, Iter 139040: Loss = 0.018222985789179802, lr = [6.25e-06] +[2024-05-17 09:00:04,005] - INFO: Epoch 2782/9999, Iter 139060: Loss = 0.010438689962029457, lr = [6.25e-06] +[2024-05-17 09:00:24,835] - INFO: Epoch 2782/9999, Iter 139080: Loss = 0.010144831612706184, lr = [6.25e-06] +[2024-05-17 09:00:47,221] - INFO: Epoch 2783/9999, Iter 139100: Loss = 0.012075783684849739, lr = [6.25e-06] +[2024-05-17 09:01:07,457] - INFO: Epoch 2783/9999, Iter 139120: Loss = 0.014292667619884014, lr = [6.25e-06] +[2024-05-17 09:01:29,028] - INFO: Epoch 2783/9999, Iter 139140: Loss = 0.01755090057849884, lr = [6.25e-06] +[2024-05-17 09:01:50,873] - INFO: Epoch 2784/9999, Iter 139160: Loss = 0.007540605962276459, lr = [6.25e-06] +[2024-05-17 09:02:10,062] - INFO: Epoch 2784/9999, Iter 139180: Loss = 0.015036039985716343, lr = [6.25e-06] +[2024-05-17 09:02:29,097] - INFO: Epoch 2785/9999, Iter 139200: Loss = 0.013786840252578259, lr = [6.25e-06] +[2024-05-17 09:02:47,024] - INFO: Epoch 2785/9999, Iter 139220: Loss = 0.008000962436199188, lr = [6.25e-06] +[2024-05-17 09:03:05,309] - INFO: Epoch 2785/9999, Iter 139240: Loss = 0.013571196235716343, lr = [6.25e-06] +[2024-05-17 09:03:12,876] - INFO: Evaluate at epoch 2785! +[2024-05-17 09:03:16,469] - INFO: Eval PSNR (max): 38.008 (2775) SSIM (max): 0.9609 (2560) +[2024-05-17 09:03:16,470] - INFO: Eval PSNR (current): 38.001 (2785) SSIM (current): 0.9608 (2785) +[2024-05-17 09:03:16,470] - INFO: Evaluation over. +[2024-05-17 09:03:31,905] - INFO: Epoch 2786/9999, Iter 139260: Loss = 0.011603462509810925, lr = [6.25e-06] +[2024-05-17 09:03:51,644] - INFO: Epoch 2786/9999, Iter 139280: Loss = 0.014881831593811512, lr = [6.25e-06] +[2024-05-17 09:04:13,514] - INFO: Epoch 2787/9999, Iter 139300: Loss = 0.01226420234888792, lr = [6.25e-06] +[2024-05-17 09:04:34,072] - INFO: Epoch 2787/9999, Iter 139320: Loss = 0.012437321245670319, lr = [6.25e-06] +[2024-05-17 09:04:52,304] - INFO: Epoch 2787/9999, Iter 139340: Loss = 0.014807026833295822, lr = [6.25e-06] +[2024-05-17 09:05:12,861] - INFO: Epoch 2788/9999, Iter 139360: Loss = 0.013414786197245121, lr = [6.25e-06] +[2024-05-17 09:05:31,832] - INFO: Epoch 2788/9999, Iter 139380: Loss = 0.01850435696542263, lr = [6.25e-06] +[2024-05-17 09:05:54,196] - INFO: Epoch 2789/9999, Iter 139400: Loss = 0.013214808888733387, lr = [6.25e-06] +[2024-05-17 09:06:14,623] - INFO: Epoch 2789/9999, Iter 139420: Loss = 0.01361945178359747, lr = [6.25e-06] +[2024-05-17 09:06:34,560] - INFO: Epoch 2789/9999, Iter 139440: Loss = 0.01875598356127739, lr = [6.25e-06] +[2024-05-17 09:06:55,703] - INFO: Epoch 2790/9999, Iter 139460: Loss = 0.013845659792423248, lr = [6.25e-06] +[2024-05-17 09:07:15,540] - INFO: Epoch 2790/9999, Iter 139480: Loss = 0.011005671694874763, lr = [6.25e-06] +[2024-05-17 09:07:35,400] - INFO: Evaluate at epoch 2790! +[2024-05-17 09:07:39,367] - INFO: Eval PSNR (max): 38.008 (2775) SSIM (max): 0.9609 (2560) +[2024-05-17 09:07:39,367] - INFO: Eval PSNR (current): 37.996 (2790) SSIM (current): 0.9608 (2790) +[2024-05-17 09:07:39,367] - INFO: Evaluation over. +[2024-05-17 09:07:45,935] - INFO: Epoch 2791/9999, Iter 139500: Loss = 0.01601298712193966, lr = [6.25e-06] +[2024-05-17 09:08:06,496] - INFO: Epoch 2791/9999, Iter 139520: Loss = 0.012675732374191284, lr = [6.25e-06] +[2024-05-17 09:08:25,773] - INFO: Epoch 2791/9999, Iter 139540: Loss = 0.01551281102001667, lr = [6.25e-06] +[2024-05-17 09:08:46,221] - INFO: Epoch 2792/9999, Iter 139560: Loss = 0.013307423330843449, lr = [6.25e-06] +[2024-05-17 09:09:06,734] - INFO: Epoch 2792/9999, Iter 139580: Loss = 0.01560316514223814, lr = [6.25e-06] +[2024-05-17 09:09:26,932] - INFO: Epoch 2793/9999, Iter 139600: Loss = 0.009318274445831776, lr = [6.25e-06] +[2024-05-17 09:09:48,278] - INFO: Epoch 2793/9999, Iter 139620: Loss = 0.014628703705966473, lr = [6.25e-06] +[2024-05-17 09:10:08,311] - INFO: Epoch 2793/9999, Iter 139640: Loss = 0.017229702323675156, lr = [6.25e-06] +[2024-05-17 09:10:29,400] - INFO: Epoch 2794/9999, Iter 139660: Loss = 0.01848517172038555, lr = [6.25e-06] +[2024-05-17 09:10:46,821] - INFO: Epoch 2794/9999, Iter 139680: Loss = 0.017001483589410782, lr = [6.25e-06] +[2024-05-17 09:11:06,224] - INFO: Epoch 2795/9999, Iter 139700: Loss = 0.010974676348268986, lr = [6.25e-06] +[2024-05-17 09:11:24,431] - INFO: Epoch 2795/9999, Iter 139720: Loss = 0.00796159915626049, lr = [6.25e-06] +[2024-05-17 09:11:43,792] - INFO: Epoch 2795/9999, Iter 139740: Loss = 0.014432455413043499, lr = [6.25e-06] +[2024-05-17 09:11:52,753] - INFO: Evaluate at epoch 2795! +[2024-05-17 09:11:56,469] - INFO: Eval PSNR (max): 38.008 (2775) SSIM (max): 0.9609 (2560) +[2024-05-17 09:11:56,469] - INFO: Eval PSNR (current): 37.989 (2795) SSIM (current): 0.9608 (2795) +[2024-05-17 09:11:56,469] - INFO: Evaluation over. +[2024-05-17 09:12:13,076] - INFO: Epoch 2796/9999, Iter 139760: Loss = 0.013300955295562744, lr = [6.25e-06] +[2024-05-17 09:12:33,079] - INFO: Epoch 2796/9999, Iter 139780: Loss = 0.014985071495175362, lr = [6.25e-06] +[2024-05-17 09:12:55,717] - INFO: Epoch 2797/9999, Iter 139800: Loss = 0.011442454531788826, lr = [6.25e-06] +[2024-05-17 09:13:16,193] - INFO: Epoch 2797/9999, Iter 139820: Loss = 0.011146031320095062, lr = [6.25e-06] +[2024-05-17 09:13:36,456] - INFO: Epoch 2797/9999, Iter 139840: Loss = 0.009786016307771206, lr = [6.25e-06] +[2024-05-17 09:13:58,110] - INFO: Epoch 2798/9999, Iter 139860: Loss = 0.010923122987151146, lr = [6.25e-06] +[2024-05-17 09:14:19,693] - INFO: Epoch 2798/9999, Iter 139880: Loss = 0.010537931695580482, lr = [6.25e-06] +[2024-05-17 09:14:40,980] - INFO: Epoch 2799/9999, Iter 139900: Loss = 0.011874071322381496, lr = [6.25e-06] +[2024-05-17 09:14:59,912] - INFO: Epoch 2799/9999, Iter 139920: Loss = 0.014534908346831799, lr = [6.25e-06] +[2024-05-17 09:15:20,144] - INFO: Epoch 2799/9999, Iter 139940: Loss = 0.011602567508816719, lr = [6.25e-06] +[2024-05-17 09:15:43,001] - INFO: Epoch 2800/9999, Iter 139960: Loss = 0.014440047554671764, lr = [6.25e-06] +[2024-05-17 09:16:03,356] - INFO: Epoch 2800/9999, Iter 139980: Loss = 0.01235151942819357, lr = [6.25e-06] +[2024-05-17 09:16:22,029] - INFO: Evaluate at epoch 2800! +[2024-05-17 09:16:25,957] - INFO: Eval PSNR (max): 38.008 (2775) SSIM (max): 0.9609 (2560) +[2024-05-17 09:16:25,958] - INFO: Eval PSNR (current): 37.991 (2800) SSIM (current): 0.9608 (2800) +[2024-05-17 09:16:25,958] - INFO: Evaluation over. +[2024-05-17 09:16:32,679] - INFO: Epoch 2801/9999, Iter 140000: Loss = 0.01357075572013855, lr = [6.25e-06] +[2024-05-17 09:16:54,216] - INFO: Epoch 2801/9999, Iter 140020: Loss = 0.008670120500028133, lr = [6.25e-06] +[2024-05-17 09:17:13,828] - INFO: Epoch 2801/9999, Iter 140040: Loss = 0.015467869117856026, lr = [6.25e-06] +[2024-05-17 09:17:34,894] - INFO: Epoch 2802/9999, Iter 140060: Loss = 0.012685620225965977, lr = [6.25e-06] +[2024-05-17 09:17:54,067] - INFO: Epoch 2802/9999, Iter 140080: Loss = 0.01678461767733097, lr = [6.25e-06] +[2024-05-17 09:18:15,976] - INFO: Epoch 2803/9999, Iter 140100: Loss = 0.00985987763851881, lr = [6.25e-06] +[2024-05-17 09:18:36,645] - INFO: Epoch 2803/9999, Iter 140120: Loss = 0.014948015101253986, lr = [6.25e-06] +[2024-05-17 09:18:57,990] - INFO: Epoch 2803/9999, Iter 140140: Loss = 0.008681226521730423, lr = [6.25e-06] +[2024-05-17 09:19:19,093] - INFO: Epoch 2804/9999, Iter 140160: Loss = 0.010066811926662922, lr = [6.25e-06] +[2024-05-17 09:19:41,131] - INFO: Epoch 2804/9999, Iter 140180: Loss = 0.01571768708527088, lr = [6.25e-06] +[2024-05-17 09:20:01,960] - INFO: Epoch 2805/9999, Iter 140200: Loss = 0.014508740045130253, lr = [6.25e-06] +[2024-05-17 09:20:21,765] - INFO: Epoch 2805/9999, Iter 140220: Loss = 0.015843786299228668, lr = [6.25e-06] +[2024-05-17 09:20:42,277] - INFO: Epoch 2805/9999, Iter 140240: Loss = 0.01314571499824524, lr = [6.25e-06] +[2024-05-17 09:20:51,356] - INFO: Evaluate at epoch 2805! +[2024-05-17 09:20:55,351] - INFO: Eval PSNR (max): 38.008 (2775) SSIM (max): 0.9609 (2560) +[2024-05-17 09:20:55,351] - INFO: Eval PSNR (current): 37.995 (2805) SSIM (current): 0.9608 (2805) +[2024-05-17 09:20:55,351] - INFO: Evaluation over. +[2024-05-17 09:21:12,329] - INFO: Epoch 2806/9999, Iter 140260: Loss = 0.01216113567352295, lr = [6.25e-06] +[2024-05-17 09:21:33,562] - INFO: Epoch 2806/9999, Iter 140280: Loss = 0.006978410761803389, lr = [6.25e-06] +[2024-05-17 09:21:54,993] - INFO: Epoch 2807/9999, Iter 140300: Loss = 0.01546058151870966, lr = [6.25e-06] +[2024-05-17 09:22:16,314] - INFO: Epoch 2807/9999, Iter 140320: Loss = 0.012138704769313335, lr = [6.25e-06] +[2024-05-17 09:22:33,610] - INFO: Epoch 2807/9999, Iter 140340: Loss = 0.014791042543947697, lr = [6.25e-06] +[2024-05-17 09:22:52,872] - INFO: Epoch 2808/9999, Iter 140360: Loss = 0.013548742979764938, lr = [6.25e-06] +[2024-05-17 09:23:10,840] - INFO: Epoch 2808/9999, Iter 140380: Loss = 0.010913794860243797, lr = [6.25e-06] +[2024-05-17 09:23:29,156] - INFO: Epoch 2809/9999, Iter 140400: Loss = 0.012385607697069645, lr = [6.25e-06] +[2024-05-17 09:23:46,951] - INFO: Epoch 2809/9999, Iter 140420: Loss = 0.014773434959352016, lr = [6.25e-06] +[2024-05-17 09:24:04,649] - INFO: Epoch 2809/9999, Iter 140440: Loss = 0.01345309428870678, lr = [6.25e-06] +[2024-05-17 09:24:23,680] - INFO: Epoch 2810/9999, Iter 140460: Loss = 0.014791005291044712, lr = [6.25e-06] +[2024-05-17 09:24:42,164] - INFO: Epoch 2810/9999, Iter 140480: Loss = 0.010055474005639553, lr = [6.25e-06] +[2024-05-17 09:24:58,665] - INFO: Evaluate at epoch 2810! +[2024-05-17 09:25:02,373] - INFO: Eval PSNR (max): 38.008 (2775) SSIM (max): 0.9609 (2560) +[2024-05-17 09:25:02,373] - INFO: Eval PSNR (current): 38.006 (2810) SSIM (current): 0.9608 (2810) +[2024-05-17 09:25:02,373] - INFO: Evaluation over. +[2024-05-17 09:25:08,515] - INFO: Epoch 2811/9999, Iter 140500: Loss = 0.016400320455431938, lr = [6.25e-06] +[2024-05-17 09:25:27,569] - INFO: Epoch 2811/9999, Iter 140520: Loss = 0.011087852530181408, lr = [6.25e-06] +[2024-05-17 09:25:46,728] - INFO: Epoch 2811/9999, Iter 140540: Loss = 0.011470366269350052, lr = [6.25e-06] +[2024-05-17 09:26:09,545] - INFO: Epoch 2812/9999, Iter 140560: Loss = 0.013843134976923466, lr = [6.25e-06] +[2024-05-17 09:26:30,817] - INFO: Epoch 2812/9999, Iter 140580: Loss = 0.01222546212375164, lr = [6.25e-06] +[2024-05-17 09:26:52,330] - INFO: Epoch 2813/9999, Iter 140600: Loss = 0.009761673398315907, lr = [6.25e-06] +[2024-05-17 09:27:13,169] - INFO: Epoch 2813/9999, Iter 140620: Loss = 0.006255971267819405, lr = [6.25e-06] +[2024-05-17 09:27:32,896] - INFO: Epoch 2813/9999, Iter 140640: Loss = 0.010672720149159431, lr = [6.25e-06] +[2024-05-17 09:27:54,028] - INFO: Epoch 2814/9999, Iter 140660: Loss = 0.010578485205769539, lr = [6.25e-06] +[2024-05-17 09:28:14,719] - INFO: Epoch 2814/9999, Iter 140680: Loss = 0.011767219752073288, lr = [6.25e-06] +[2024-05-17 09:28:36,755] - INFO: Epoch 2815/9999, Iter 140700: Loss = 0.013967011123895645, lr = [6.25e-06] +[2024-05-17 09:28:56,024] - INFO: Epoch 2815/9999, Iter 140720: Loss = 0.013153032399713993, lr = [6.25e-06] +[2024-05-17 09:29:17,696] - INFO: Epoch 2815/9999, Iter 140740: Loss = 0.01423688419163227, lr = [6.25e-06] +[2024-05-17 09:29:26,883] - INFO: Evaluate at epoch 2815! +[2024-05-17 09:29:30,846] - INFO: Eval PSNR (max): 38.008 (2775) SSIM (max): 0.9609 (2560) +[2024-05-17 09:29:30,847] - INFO: Eval PSNR (current): 37.986 (2815) SSIM (current): 0.9607 (2815) +[2024-05-17 09:29:30,847] - INFO: Evaluation over. +[2024-05-17 09:29:47,256] - INFO: Epoch 2816/9999, Iter 140760: Loss = 0.016375210136175156, lr = [6.25e-06] +[2024-05-17 09:30:08,047] - INFO: Epoch 2816/9999, Iter 140780: Loss = 0.016880793496966362, lr = [6.25e-06] +[2024-05-17 09:30:29,278] - INFO: Epoch 2817/9999, Iter 140800: Loss = 0.014314085245132446, lr = [6.25e-06] +[2024-05-17 09:30:49,479] - INFO: Epoch 2817/9999, Iter 140820: Loss = 0.013035299256443977, lr = [6.25e-06] +[2024-05-17 09:31:09,142] - INFO: Epoch 2817/9999, Iter 140840: Loss = 0.015465812757611275, lr = [6.25e-06] +[2024-05-17 09:31:30,702] - INFO: Epoch 2818/9999, Iter 140860: Loss = 0.018700601533055305, lr = [6.25e-06] +[2024-05-17 09:31:51,912] - INFO: Epoch 2818/9999, Iter 140880: Loss = 0.009389704093337059, lr = [6.25e-06] +[2024-05-17 09:32:14,660] - INFO: Epoch 2819/9999, Iter 140900: Loss = 0.011966929771006107, lr = [6.25e-06] +[2024-05-17 09:32:34,157] - INFO: Epoch 2819/9999, Iter 140920: Loss = 0.015120034106075764, lr = [6.25e-06] +[2024-05-17 09:32:54,962] - INFO: Epoch 2819/9999, Iter 140940: Loss = 0.011402636766433716, lr = [6.25e-06] +[2024-05-17 09:33:16,774] - INFO: Epoch 2820/9999, Iter 140960: Loss = 0.014396696351468563, lr = [6.25e-06] +[2024-05-17 09:33:37,218] - INFO: Epoch 2820/9999, Iter 140980: Loss = 0.011643104255199432, lr = [6.25e-06] +[2024-05-17 09:33:56,200] - INFO: Evaluate at epoch 2820! +[2024-05-17 09:34:00,257] - INFO: Eval PSNR (max): 38.008 (2775) SSIM (max): 0.9609 (2560) +[2024-05-17 09:34:00,258] - INFO: Eval PSNR (current): 37.992 (2820) SSIM (current): 0.9608 (2820) +[2024-05-17 09:34:00,258] - INFO: Evaluation over. +[2024-05-17 09:34:06,588] - INFO: Epoch 2821/9999, Iter 141000: Loss = 0.013845989480614662, lr = [6.25e-06] +[2024-05-17 09:34:26,263] - INFO: Epoch 2821/9999, Iter 141020: Loss = 0.01748589426279068, lr = [6.25e-06] +[2024-05-17 09:34:47,304] - INFO: Epoch 2821/9999, Iter 141040: Loss = 0.010574262589216232, lr = [6.25e-06] +[2024-05-17 09:35:10,703] - INFO: Epoch 2822/9999, Iter 141060: Loss = 0.011127801612019539, lr = [6.25e-06] +[2024-05-17 09:35:31,448] - INFO: Epoch 2822/9999, Iter 141080: Loss = 0.011473242193460464, lr = [6.25e-06] +[2024-05-17 09:35:53,138] - INFO: Epoch 2823/9999, Iter 141100: Loss = 0.011961775831878185, lr = [6.25e-06] +[2024-05-17 09:36:13,475] - INFO: Epoch 2823/9999, Iter 141120: Loss = 0.014619717374444008, lr = [6.25e-06] +[2024-05-17 09:36:34,424] - INFO: Epoch 2823/9999, Iter 141140: Loss = 0.011400733143091202, lr = [6.25e-06] +[2024-05-17 09:36:57,470] - INFO: Epoch 2824/9999, Iter 141160: Loss = 0.014578639529645443, lr = [6.25e-06] +[2024-05-17 09:37:19,115] - INFO: Epoch 2824/9999, Iter 141180: Loss = 0.014576341025531292, lr = [6.25e-06] +[2024-05-17 09:37:41,676] - INFO: Epoch 2825/9999, Iter 141200: Loss = 0.014613150618970394, lr = [6.25e-06] +[2024-05-17 09:38:02,825] - INFO: Epoch 2825/9999, Iter 141220: Loss = 0.018562570214271545, lr = [6.25e-06] +[2024-05-17 09:38:22,443] - INFO: Epoch 2825/9999, Iter 141240: Loss = 0.011332218535244465, lr = [6.25e-06] +[2024-05-17 09:38:31,247] - INFO: Evaluate at epoch 2825! +[2024-05-17 09:38:35,537] - INFO: Eval PSNR (max): 38.008 (2775) SSIM (max): 0.9609 (2560) +[2024-05-17 09:38:35,537] - INFO: Eval PSNR (current): 37.994 (2825) SSIM (current): 0.9608 (2825) +[2024-05-17 09:38:35,537] - INFO: Evaluation over. +[2024-05-17 09:38:52,664] - INFO: Epoch 2826/9999, Iter 141260: Loss = 0.010603338479995728, lr = [6.25e-06] +[2024-05-17 09:39:14,136] - INFO: Epoch 2826/9999, Iter 141280: Loss = 0.018992004916071892, lr = [6.25e-06] +[2024-05-17 09:39:36,364] - INFO: Epoch 2827/9999, Iter 141300: Loss = 0.014535820111632347, lr = [6.25e-06] +[2024-05-17 09:39:58,316] - INFO: Epoch 2827/9999, Iter 141320: Loss = 0.011716701090335846, lr = [6.25e-06] +[2024-05-17 09:40:19,702] - INFO: Epoch 2827/9999, Iter 141340: Loss = 0.01021480467170477, lr = [6.25e-06] +[2024-05-17 09:40:41,289] - INFO: Epoch 2828/9999, Iter 141360: Loss = 0.016444077715277672, lr = [6.25e-06] +[2024-05-17 09:41:02,300] - INFO: Epoch 2828/9999, Iter 141380: Loss = 0.011667434126138687, lr = [6.25e-06] +[2024-05-17 09:41:23,957] - INFO: Epoch 2829/9999, Iter 141400: Loss = 0.010576152242720127, lr = [6.25e-06] +[2024-05-17 09:41:43,948] - INFO: Epoch 2829/9999, Iter 141420: Loss = 0.014164978638291359, lr = [6.25e-06] +[2024-05-17 09:42:04,374] - INFO: Epoch 2829/9999, Iter 141440: Loss = 0.01643640734255314, lr = [6.25e-06] +[2024-05-17 09:42:24,946] - INFO: Epoch 2830/9999, Iter 141460: Loss = 0.011575204320251942, lr = [6.25e-06] +[2024-05-17 09:42:45,457] - INFO: Epoch 2830/9999, Iter 141480: Loss = 0.009240854531526566, lr = [6.25e-06] +[2024-05-17 09:43:05,232] - INFO: Evaluate at epoch 2830! +[2024-05-17 09:43:08,832] - INFO: Eval PSNR (max): 38.008 (2775) SSIM (max): 0.9609 (2560) +[2024-05-17 09:43:08,832] - INFO: Eval PSNR (current): 38.000 (2830) SSIM (current): 0.9608 (2830) +[2024-05-17 09:43:08,832] - INFO: Evaluation over. +[2024-05-17 09:43:15,611] - INFO: Epoch 2831/9999, Iter 141500: Loss = 0.009451097808778286, lr = [6.25e-06] +[2024-05-17 09:43:36,478] - INFO: Epoch 2831/9999, Iter 141520: Loss = 0.00933294091373682, lr = [6.25e-06] +[2024-05-17 09:43:56,966] - INFO: Epoch 2831/9999, Iter 141540: Loss = 0.011595545336604118, lr = [6.25e-06] +[2024-05-17 09:44:18,113] - INFO: Epoch 2832/9999, Iter 141560: Loss = 0.014118114486336708, lr = [6.25e-06] +[2024-05-17 09:44:39,464] - INFO: Epoch 2832/9999, Iter 141580: Loss = 0.018654007464647293, lr = [6.25e-06] +[2024-05-17 09:45:02,132] - INFO: Epoch 2833/9999, Iter 141600: Loss = 0.01439753919839859, lr = [6.25e-06] +[2024-05-17 09:45:28,798] - INFO: Epoch 2833/9999, Iter 141620: Loss = 0.013624186627566814, lr = [6.25e-06] +[2024-05-17 09:45:53,799] - INFO: Epoch 2833/9999, Iter 141640: Loss = 0.016107777133584023, lr = [6.25e-06] +[2024-05-17 09:46:16,421] - INFO: Epoch 2834/9999, Iter 141660: Loss = 0.011440855450928211, lr = [6.25e-06] +[2024-05-17 09:46:37,029] - INFO: Epoch 2834/9999, Iter 141680: Loss = 0.00963402446359396, lr = [6.25e-06] +[2024-05-17 09:46:58,758] - INFO: Epoch 2835/9999, Iter 141700: Loss = 0.012729556299746037, lr = [6.25e-06] +[2024-05-17 09:47:19,502] - INFO: Epoch 2835/9999, Iter 141720: Loss = 0.013758127577602863, lr = [6.25e-06] +[2024-05-17 09:47:38,716] - INFO: Epoch 2835/9999, Iter 141740: Loss = 0.018570279702544212, lr = [6.25e-06] +[2024-05-17 09:47:47,799] - INFO: Evaluate at epoch 2835! +[2024-05-17 09:47:51,795] - INFO: Eval PSNR (max): 38.008 (2775) SSIM (max): 0.9609 (2560) +[2024-05-17 09:47:51,796] - INFO: Eval PSNR (current): 37.993 (2835) SSIM (current): 0.9608 (2835) +[2024-05-17 09:47:51,796] - INFO: Evaluation over. +[2024-05-17 09:48:10,080] - INFO: Epoch 2836/9999, Iter 141760: Loss = 0.012708575464785099, lr = [6.25e-06] +[2024-05-17 09:48:29,852] - INFO: Epoch 2836/9999, Iter 141780: Loss = 0.016806287690997124, lr = [6.25e-06] +[2024-05-17 09:48:51,480] - INFO: Epoch 2837/9999, Iter 141800: Loss = 0.009815900586545467, lr = [6.25e-06] +[2024-05-17 09:49:12,916] - INFO: Epoch 2837/9999, Iter 141820: Loss = 0.019434746354818344, lr = [6.25e-06] +[2024-05-17 09:49:33,956] - INFO: Epoch 2837/9999, Iter 141840: Loss = 0.009595912881195545, lr = [6.25e-06] +[2024-05-17 09:49:55,672] - INFO: Epoch 2838/9999, Iter 141860: Loss = 0.012202012352645397, lr = [6.25e-06] +[2024-05-17 09:50:17,912] - INFO: Epoch 2838/9999, Iter 141880: Loss = 0.0076399496756494045, lr = [6.25e-06] +[2024-05-17 09:50:39,455] - INFO: Epoch 2839/9999, Iter 141900: Loss = 0.017754066735506058, lr = [6.25e-06] +[2024-05-17 09:51:00,543] - INFO: Epoch 2839/9999, Iter 141920: Loss = 0.0146492850035429, lr = [6.25e-06] +[2024-05-17 09:51:21,945] - INFO: Epoch 2839/9999, Iter 141940: Loss = 0.00933007337152958, lr = [6.25e-06] +[2024-05-17 09:51:44,706] - INFO: Epoch 2840/9999, Iter 141960: Loss = 0.0076469536870718, lr = [6.25e-06] +[2024-05-17 09:52:04,246] - INFO: Epoch 2840/9999, Iter 141980: Loss = 0.01022428274154663, lr = [6.25e-06] +[2024-05-17 09:52:23,680] - INFO: Evaluate at epoch 2840! +[2024-05-17 09:52:27,602] - INFO: Eval PSNR (max): 38.008 (2775) SSIM (max): 0.9609 (2560) +[2024-05-17 09:52:27,602] - INFO: Eval PSNR (current): 37.991 (2840) SSIM (current): 0.9608 (2840) +[2024-05-17 09:52:27,602] - INFO: Evaluation over. +[2024-05-17 09:52:33,754] - INFO: Epoch 2841/9999, Iter 142000: Loss = 0.013730274513363838, lr = [6.25e-06] +[2024-05-17 09:52:52,910] - INFO: Epoch 2841/9999, Iter 142020: Loss = 0.010687402449548244, lr = [6.25e-06] +[2024-05-17 09:53:12,264] - INFO: Epoch 2841/9999, Iter 142040: Loss = 0.010538182221353054, lr = [6.25e-06] +[2024-05-17 09:53:34,284] - INFO: Epoch 2842/9999, Iter 142060: Loss = 0.009670043364167213, lr = [6.25e-06] +[2024-05-17 09:53:56,223] - INFO: Epoch 2842/9999, Iter 142080: Loss = 0.017232170328497887, lr = [6.25e-06] +[2024-05-17 09:54:17,754] - INFO: Epoch 2843/9999, Iter 142100: Loss = 0.013117941096425056, lr = [6.25e-06] +[2024-05-17 09:54:37,790] - INFO: Epoch 2843/9999, Iter 142120: Loss = 0.011033505201339722, lr = [6.25e-06] +[2024-05-17 09:54:56,804] - INFO: Epoch 2843/9999, Iter 142140: Loss = 0.015767192468047142, lr = [6.25e-06] +[2024-05-17 09:55:19,950] - INFO: Epoch 2844/9999, Iter 142160: Loss = 0.011331961490213871, lr = [6.25e-06] +[2024-05-17 09:55:39,924] - INFO: Epoch 2844/9999, Iter 142180: Loss = 0.013574905693531036, lr = [6.25e-06] +[2024-05-17 09:56:03,332] - INFO: Epoch 2845/9999, Iter 142200: Loss = 0.00816283654421568, lr = [6.25e-06] +[2024-05-17 09:56:24,684] - INFO: Epoch 2845/9999, Iter 142220: Loss = 0.010850880295038223, lr = [6.25e-06] +[2024-05-17 09:56:44,506] - INFO: Epoch 2845/9999, Iter 142240: Loss = 0.014458213932812214, lr = [6.25e-06] +[2024-05-17 09:56:53,631] - INFO: Evaluate at epoch 2845! +[2024-05-17 09:56:57,621] - INFO: Eval PSNR (max): 38.008 (2775) SSIM (max): 0.9609 (2560) +[2024-05-17 09:56:57,621] - INFO: Eval PSNR (current): 38.004 (2845) SSIM (current): 0.9608 (2845) +[2024-05-17 09:56:57,622] - INFO: Evaluation over. +[2024-05-17 09:57:14,676] - INFO: Epoch 2846/9999, Iter 142260: Loss = 0.016287634149193764, lr = [6.25e-06] +[2024-05-17 09:57:34,639] - INFO: Epoch 2846/9999, Iter 142280: Loss = 0.02050854079425335, lr = [6.25e-06] +[2024-05-17 09:57:54,104] - INFO: Epoch 2847/9999, Iter 142300: Loss = 0.008327900432050228, lr = [6.25e-06] +[2024-05-17 09:58:14,669] - INFO: Epoch 2847/9999, Iter 142320: Loss = 0.015246874652802944, lr = [6.25e-06] +[2024-05-17 09:58:36,215] - INFO: Epoch 2847/9999, Iter 142340: Loss = 0.016224343329668045, lr = [6.25e-06] +[2024-05-17 09:58:58,047] - INFO: Epoch 2848/9999, Iter 142360: Loss = 0.009076678194105625, lr = [6.25e-06] +[2024-05-17 09:59:20,556] - INFO: Epoch 2848/9999, Iter 142380: Loss = 0.01619272492825985, lr = [6.25e-06] +[2024-05-17 09:59:42,086] - INFO: Epoch 2849/9999, Iter 142400: Loss = 0.013915421441197395, lr = [6.25e-06] +[2024-05-17 10:00:02,197] - INFO: Epoch 2849/9999, Iter 142420: Loss = 0.013439892791211605, lr = [6.25e-06] +[2024-05-17 10:00:22,872] - INFO: Epoch 2849/9999, Iter 142440: Loss = 0.011682570911943913, lr = [6.25e-06] +[2024-05-17 10:00:43,159] - INFO: Epoch 2850/9999, Iter 142460: Loss = 0.01006472297012806, lr = [6.25e-06] +[2024-05-17 10:01:01,451] - INFO: Epoch 2850/9999, Iter 142480: Loss = 0.0100857587531209, lr = [6.25e-06] +[2024-05-17 10:01:18,194] - INFO: Evaluate at epoch 2850! +[2024-05-17 10:01:21,780] - INFO: Eval PSNR (max): 38.008 (2775) SSIM (max): 0.9609 (2560) +[2024-05-17 10:01:21,781] - INFO: Eval PSNR (current): 37.986 (2850) SSIM (current): 0.9608 (2850) +[2024-05-17 10:01:21,781] - INFO: Evaluation over. +[2024-05-17 10:01:27,844] - INFO: Epoch 2851/9999, Iter 142500: Loss = 0.015462756156921387, lr = [6.25e-06] +[2024-05-17 10:01:45,931] - INFO: Epoch 2851/9999, Iter 142520: Loss = 0.013322846964001656, lr = [6.25e-06] +[2024-05-17 10:02:03,572] - INFO: Epoch 2851/9999, Iter 142540: Loss = 0.012017185799777508, lr = [6.25e-06] +[2024-05-17 10:02:21,708] - INFO: Epoch 2852/9999, Iter 142560: Loss = 0.011589599773287773, lr = [6.25e-06] +[2024-05-17 10:02:38,952] - INFO: Epoch 2852/9999, Iter 142580: Loss = 0.01463538408279419, lr = [6.25e-06] +[2024-05-17 10:02:58,688] - INFO: Epoch 2853/9999, Iter 142600: Loss = 0.016852399334311485, lr = [6.25e-06] +[2024-05-17 10:03:15,452] - INFO: Epoch 2853/9999, Iter 142620: Loss = 0.014793507754802704, lr = [6.25e-06] +[2024-05-17 10:03:33,374] - INFO: Epoch 2853/9999, Iter 142640: Loss = 0.009763455018401146, lr = [6.25e-06] +[2024-05-17 10:03:52,984] - INFO: Epoch 2854/9999, Iter 142660: Loss = 0.012387769296765327, lr = [6.25e-06] +[2024-05-17 10:04:10,871] - INFO: Epoch 2854/9999, Iter 142680: Loss = 0.010695024393498898, lr = [6.25e-06] +[2024-05-17 10:04:29,634] - INFO: Epoch 2855/9999, Iter 142700: Loss = 0.011018229648470879, lr = [6.25e-06] +[2024-05-17 10:04:46,860] - INFO: Epoch 2855/9999, Iter 142720: Loss = 0.01608944684267044, lr = [6.25e-06] +[2024-05-17 10:05:04,995] - INFO: Epoch 2855/9999, Iter 142740: Loss = 0.01110648363828659, lr = [6.25e-06] +[2024-05-17 10:05:12,909] - INFO: Evaluate at epoch 2855! +[2024-05-17 10:05:16,564] - INFO: Eval PSNR (max): 38.008 (2775) SSIM (max): 0.9609 (2560) +[2024-05-17 10:05:16,564] - INFO: Eval PSNR (current): 37.995 (2855) SSIM (current): 0.9608 (2855) +[2024-05-17 10:05:16,564] - INFO: Evaluation over. +[2024-05-17 10:05:30,881] - INFO: Epoch 2856/9999, Iter 142760: Loss = 0.01399871427565813, lr = [6.25e-06] +[2024-05-17 10:05:48,625] - INFO: Epoch 2856/9999, Iter 142780: Loss = 0.011875162832438946, lr = [6.25e-06] +[2024-05-17 10:06:08,180] - INFO: Epoch 2857/9999, Iter 142800: Loss = 0.015968890860676765, lr = [6.25e-06] +[2024-05-17 10:06:26,256] - INFO: Epoch 2857/9999, Iter 142820: Loss = 0.014648322947323322, lr = [6.25e-06] +[2024-05-17 10:06:44,202] - INFO: Epoch 2857/9999, Iter 142840: Loss = 0.015252305194735527, lr = [6.25e-06] +[2024-05-17 10:07:03,077] - INFO: Epoch 2858/9999, Iter 142860: Loss = 0.013913650996983051, lr = [6.25e-06] +[2024-05-17 10:07:21,243] - INFO: Epoch 2858/9999, Iter 142880: Loss = 0.01283156406134367, lr = [6.25e-06] +[2024-05-17 10:07:39,319] - INFO: Epoch 2859/9999, Iter 142900: Loss = 0.015518555417656898, lr = [6.25e-06] +[2024-05-17 10:07:57,183] - INFO: Epoch 2859/9999, Iter 142920: Loss = 0.011315081268548965, lr = [6.25e-06] +[2024-05-17 10:08:15,264] - INFO: Epoch 2859/9999, Iter 142940: Loss = 0.01248030737042427, lr = [6.25e-06] +[2024-05-17 10:08:33,992] - INFO: Epoch 2860/9999, Iter 142960: Loss = 0.012740807607769966, lr = [6.25e-06] +[2024-05-17 10:08:51,590] - INFO: Epoch 2860/9999, Iter 142980: Loss = 0.011066420935094357, lr = [6.25e-06] +[2024-05-17 10:09:08,066] - INFO: Evaluate at epoch 2860! +[2024-05-17 10:09:11,788] - INFO: Eval PSNR (max): 38.008 (2775) SSIM (max): 0.9609 (2560) +[2024-05-17 10:09:11,788] - INFO: Eval PSNR (current): 38.001 (2860) SSIM (current): 0.9608 (2860) +[2024-05-17 10:09:11,788] - INFO: Evaluation over. +[2024-05-17 10:09:17,784] - INFO: Epoch 2861/9999, Iter 143000: Loss = 0.013285491615533829, lr = [6.25e-06] +[2024-05-17 10:09:34,898] - INFO: Epoch 2861/9999, Iter 143020: Loss = 0.014947054907679558, lr = [6.25e-06] +[2024-05-17 10:09:52,180] - INFO: Epoch 2861/9999, Iter 143040: Loss = 0.010691746138036251, lr = [6.25e-06] +[2024-05-17 10:10:11,488] - INFO: Epoch 2862/9999, Iter 143060: Loss = 0.010345417074859142, lr = [6.25e-06] +[2024-05-17 10:10:29,704] - INFO: Epoch 2862/9999, Iter 143080: Loss = 0.014225959777832031, lr = [6.25e-06] +[2024-05-17 10:10:48,423] - INFO: Epoch 2863/9999, Iter 143100: Loss = 0.012727548368275166, lr = [6.25e-06] +[2024-05-17 10:11:06,656] - INFO: Epoch 2863/9999, Iter 143120: Loss = 0.01753966510295868, lr = [6.25e-06] +[2024-05-17 10:11:24,145] - INFO: Epoch 2863/9999, Iter 143140: Loss = 0.013337405398488045, lr = [6.25e-06] +[2024-05-17 10:11:43,440] - INFO: Epoch 2864/9999, Iter 143160: Loss = 0.011392630636692047, lr = [6.25e-06] +[2024-05-17 10:12:01,619] - INFO: Epoch 2864/9999, Iter 143180: Loss = 0.0175951961427927, lr = [6.25e-06] +[2024-05-17 10:12:20,771] - INFO: Epoch 2865/9999, Iter 143200: Loss = 0.017648804932832718, lr = [6.25e-06] +[2024-05-17 10:12:39,720] - INFO: Epoch 2865/9999, Iter 143220: Loss = 0.014305989257991314, lr = [6.25e-06] +[2024-05-17 10:12:58,536] - INFO: Epoch 2865/9999, Iter 143240: Loss = 0.014515848830342293, lr = [6.25e-06] +[2024-05-17 10:13:06,677] - INFO: Evaluate at epoch 2865! +[2024-05-17 10:13:10,628] - INFO: Eval PSNR (max): 38.008 (2775) SSIM (max): 0.9609 (2560) +[2024-05-17 10:13:10,629] - INFO: Eval PSNR (current): 38.006 (2865) SSIM (current): 0.9608 (2865) +[2024-05-17 10:13:10,629] - INFO: Evaluation over. +[2024-05-17 10:13:27,128] - INFO: Epoch 2866/9999, Iter 143260: Loss = 0.01258862018585205, lr = [6.25e-06] +[2024-05-17 10:13:49,209] - INFO: Epoch 2866/9999, Iter 143280: Loss = 0.013817661441862583, lr = [6.25e-06] +[2024-05-17 10:14:09,796] - INFO: Epoch 2867/9999, Iter 143300: Loss = 0.014858988113701344, lr = [6.25e-06] +[2024-05-17 10:14:30,222] - INFO: Epoch 2867/9999, Iter 143320: Loss = 0.010958963073790073, lr = [6.25e-06] +[2024-05-17 10:14:51,145] - INFO: Epoch 2867/9999, Iter 143340: Loss = 0.016611792147159576, lr = [6.25e-06] +[2024-05-17 10:15:12,756] - INFO: Epoch 2868/9999, Iter 143360: Loss = 0.012779553420841694, lr = [6.25e-06] +[2024-05-17 10:15:32,428] - INFO: Epoch 2868/9999, Iter 143380: Loss = 0.012785580940544605, lr = [6.25e-06] +[2024-05-17 10:15:55,030] - INFO: Epoch 2869/9999, Iter 143400: Loss = 0.01945733092725277, lr = [6.25e-06] +[2024-05-17 10:16:14,880] - INFO: Epoch 2869/9999, Iter 143420: Loss = 0.013170821592211723, lr = [6.25e-06] +[2024-05-17 10:16:35,012] - INFO: Epoch 2869/9999, Iter 143440: Loss = 0.012048625387251377, lr = [6.25e-06] +[2024-05-17 10:16:56,596] - INFO: Epoch 2870/9999, Iter 143460: Loss = 0.01674821227788925, lr = [6.25e-06] +[2024-05-17 10:17:16,207] - INFO: Epoch 2870/9999, Iter 143480: Loss = 0.014330158941447735, lr = [6.25e-06] +[2024-05-17 10:17:35,346] - INFO: Evaluate at epoch 2870! +[2024-05-17 10:17:38,790] - INFO: Eval PSNR (max): 38.008 (2775) SSIM (max): 0.9609 (2560) +[2024-05-17 10:17:38,790] - INFO: Eval PSNR (current): 37.992 (2870) SSIM (current): 0.9607 (2870) +[2024-05-17 10:17:38,790] - INFO: Evaluation over. +[2024-05-17 10:17:45,563] - INFO: Epoch 2871/9999, Iter 143500: Loss = 0.01327041257172823, lr = [6.25e-06] +[2024-05-17 10:18:05,832] - INFO: Epoch 2871/9999, Iter 143520: Loss = 0.012988906353712082, lr = [6.25e-06] +[2024-05-17 10:18:26,086] - INFO: Epoch 2871/9999, Iter 143540: Loss = 0.015916690230369568, lr = [6.25e-06] +[2024-05-17 10:18:47,989] - INFO: Epoch 2872/9999, Iter 143560: Loss = 0.014876730740070343, lr = [6.25e-06] +[2024-05-17 10:19:08,101] - INFO: Epoch 2872/9999, Iter 143580: Loss = 0.011284382082521915, lr = [6.25e-06] +[2024-05-17 10:19:29,168] - INFO: Epoch 2873/9999, Iter 143600: Loss = 0.008719014935195446, lr = [6.25e-06] +[2024-05-17 10:19:48,865] - INFO: Epoch 2873/9999, Iter 143620: Loss = 0.01297913771122694, lr = [6.25e-06] +[2024-05-17 10:20:10,226] - INFO: Epoch 2873/9999, Iter 143640: Loss = 0.00830071046948433, lr = [6.25e-06] +[2024-05-17 10:20:31,096] - INFO: Epoch 2874/9999, Iter 143660: Loss = 0.011008583940565586, lr = [6.25e-06] +[2024-05-17 10:20:49,235] - INFO: Epoch 2874/9999, Iter 143680: Loss = 0.010833235457539558, lr = [6.25e-06] +[2024-05-17 10:21:10,184] - INFO: Epoch 2875/9999, Iter 143700: Loss = 0.011804998852312565, lr = [6.25e-06] +[2024-05-17 10:21:29,000] - INFO: Epoch 2875/9999, Iter 143720: Loss = 0.01372617483139038, lr = [6.25e-06] +[2024-05-17 10:21:50,980] - INFO: Epoch 2875/9999, Iter 143740: Loss = 0.015240608714520931, lr = [6.25e-06] +[2024-05-17 10:22:00,112] - INFO: Evaluate at epoch 2875! +[2024-05-17 10:22:03,784] - INFO: Eval PSNR (max): 38.008 (2775) SSIM (max): 0.9609 (2560) +[2024-05-17 10:22:03,785] - INFO: Eval PSNR (current): 38.000 (2875) SSIM (current): 0.9608 (2875) +[2024-05-17 10:22:03,785] - INFO: Evaluation over. +[2024-05-17 10:22:20,920] - INFO: Epoch 2876/9999, Iter 143760: Loss = 0.01598305255174637, lr = [6.25e-06] +[2024-05-17 10:22:42,100] - INFO: Epoch 2876/9999, Iter 143780: Loss = 0.010737351141870022, lr = [6.25e-06] +[2024-05-17 10:23:02,356] - INFO: Epoch 2877/9999, Iter 143800: Loss = 0.013447172939777374, lr = [6.25e-06] +[2024-05-17 10:23:21,356] - INFO: Epoch 2877/9999, Iter 143820: Loss = 0.012138395570218563, lr = [6.25e-06] +[2024-05-17 10:23:41,320] - INFO: Epoch 2877/9999, Iter 143840: Loss = 0.011023134924471378, lr = [6.25e-06] +[2024-05-17 10:24:04,082] - INFO: Epoch 2878/9999, Iter 143860: Loss = 0.015410725958645344, lr = [6.25e-06] +[2024-05-17 10:24:24,486] - INFO: Epoch 2878/9999, Iter 143880: Loss = 0.010278958827257156, lr = [6.25e-06] +[2024-05-17 10:24:46,279] - INFO: Epoch 2879/9999, Iter 143900: Loss = 0.01440463587641716, lr = [6.25e-06] +[2024-05-17 10:25:06,740] - INFO: Epoch 2879/9999, Iter 143920: Loss = 0.011717908084392548, lr = [6.25e-06] +[2024-05-17 10:25:26,884] - INFO: Epoch 2879/9999, Iter 143940: Loss = 0.011508695781230927, lr = [6.25e-06] +[2024-05-17 10:25:48,068] - INFO: Epoch 2880/9999, Iter 143960: Loss = 0.011922375299036503, lr = [6.25e-06] +[2024-05-17 10:26:10,572] - INFO: Epoch 2880/9999, Iter 143980: Loss = 0.010132086463272572, lr = [6.25e-06] +[2024-05-17 10:26:29,126] - INFO: Evaluate at epoch 2880! +[2024-05-17 10:26:33,031] - INFO: Eval PSNR (max): 38.008 (2775) SSIM (max): 0.9609 (2560) +[2024-05-17 10:26:33,031] - INFO: Eval PSNR (current): 37.998 (2880) SSIM (current): 0.9608 (2880) +[2024-05-17 10:26:33,031] - INFO: Evaluation over. +[2024-05-17 10:26:39,568] - INFO: Epoch 2881/9999, Iter 144000: Loss = 0.008889816701412201, lr = [6.25e-06] +[2024-05-17 10:27:00,008] - INFO: Epoch 2881/9999, Iter 144020: Loss = 0.011491287499666214, lr = [6.25e-06] +[2024-05-17 10:27:20,141] - INFO: Epoch 2881/9999, Iter 144040: Loss = 0.022780144587159157, lr = [6.25e-06] +[2024-05-17 10:27:40,528] - INFO: Epoch 2882/9999, Iter 144060: Loss = 0.014570347033441067, lr = [6.25e-06] +[2024-05-17 10:28:01,106] - INFO: Epoch 2882/9999, Iter 144080: Loss = 0.012061496265232563, lr = [6.25e-06] +[2024-05-17 10:28:22,476] - INFO: Epoch 2883/9999, Iter 144100: Loss = 0.010938018560409546, lr = [6.25e-06] +[2024-05-17 10:28:43,290] - INFO: Epoch 2883/9999, Iter 144120: Loss = 0.01253313384950161, lr = [6.25e-06] +[2024-05-17 10:29:02,647] - INFO: Epoch 2883/9999, Iter 144140: Loss = 0.012798577547073364, lr = [6.25e-06] +[2024-05-17 10:29:25,896] - INFO: Epoch 2884/9999, Iter 144160: Loss = 0.016290629282593727, lr = [6.25e-06] +[2024-05-17 10:29:46,383] - INFO: Epoch 2884/9999, Iter 144180: Loss = 0.017742112278938293, lr = [6.25e-06] +[2024-05-17 10:30:07,982] - INFO: Epoch 2885/9999, Iter 144200: Loss = 0.02083589881658554, lr = [6.25e-06] +[2024-05-17 10:30:27,703] - INFO: Epoch 2885/9999, Iter 144220: Loss = 0.012173301540315151, lr = [6.25e-06] +[2024-05-17 10:30:46,446] - INFO: Epoch 2885/9999, Iter 144240: Loss = 0.01298597827553749, lr = [6.25e-06] +[2024-05-17 10:30:55,423] - INFO: Evaluate at epoch 2885! +[2024-05-17 10:30:59,206] - INFO: Eval PSNR (max): 38.008 (2775) SSIM (max): 0.9609 (2560) +[2024-05-17 10:30:59,206] - INFO: Eval PSNR (current): 37.998 (2885) SSIM (current): 0.9608 (2885) +[2024-05-17 10:30:59,206] - INFO: Evaluation over. +[2024-05-17 10:31:16,070] - INFO: Epoch 2886/9999, Iter 144260: Loss = 0.008460113778710365, lr = [6.25e-06] +[2024-05-17 10:31:37,046] - INFO: Epoch 2886/9999, Iter 144280: Loss = 0.011715793050825596, lr = [6.25e-06] +[2024-05-17 10:32:00,060] - INFO: Epoch 2887/9999, Iter 144300: Loss = 0.006382563151419163, lr = [6.25e-06] +[2024-05-17 10:32:20,748] - INFO: Epoch 2887/9999, Iter 144320: Loss = 0.0246113371104002, lr = [6.25e-06] +[2024-05-17 10:32:40,069] - INFO: Epoch 2887/9999, Iter 144340: Loss = 0.01334950141608715, lr = [6.25e-06] +[2024-05-17 10:33:01,916] - INFO: Epoch 2888/9999, Iter 144360: Loss = 0.012606401927769184, lr = [6.25e-06] +[2024-05-17 10:33:22,398] - INFO: Epoch 2888/9999, Iter 144380: Loss = 0.013316504657268524, lr = [6.25e-06] +[2024-05-17 10:33:44,901] - INFO: Epoch 2889/9999, Iter 144400: Loss = 0.015698956325650215, lr = [6.25e-06] +[2024-05-17 10:34:06,316] - INFO: Epoch 2889/9999, Iter 144420: Loss = 0.009622243233025074, lr = [6.25e-06] +[2024-05-17 10:34:27,146] - INFO: Epoch 2889/9999, Iter 144440: Loss = 0.019470201805233955, lr = [6.25e-06] +[2024-05-17 10:34:49,519] - INFO: Epoch 2890/9999, Iter 144460: Loss = 0.011199669912457466, lr = [6.25e-06] +[2024-05-17 10:35:09,978] - INFO: Epoch 2890/9999, Iter 144480: Loss = 0.009571119211614132, lr = [6.25e-06] +[2024-05-17 10:35:28,927] - INFO: Evaluate at epoch 2890! +[2024-05-17 10:35:32,801] - INFO: Eval PSNR (max): 38.008 (2775) SSIM (max): 0.9609 (2560) +[2024-05-17 10:35:32,801] - INFO: Eval PSNR (current): 37.996 (2890) SSIM (current): 0.9608 (2890) +[2024-05-17 10:35:32,801] - INFO: Evaluation over. +[2024-05-17 10:35:39,237] - INFO: Epoch 2891/9999, Iter 144500: Loss = 0.010160726495087147, lr = [6.25e-06] +[2024-05-17 10:36:00,395] - INFO: Epoch 2891/9999, Iter 144520: Loss = 0.014529247768223286, lr = [6.25e-06] +[2024-05-17 10:36:26,165] - INFO: Epoch 2891/9999, Iter 144540: Loss = 0.012127825990319252, lr = [6.25e-06] +[2024-05-17 10:36:54,995] - INFO: Epoch 2892/9999, Iter 144560: Loss = 0.01858055591583252, lr = [6.25e-06] +[2024-05-17 10:37:14,670] - INFO: Epoch 2892/9999, Iter 144580: Loss = 0.012526525184512138, lr = [6.25e-06] +[2024-05-17 10:37:36,237] - INFO: Epoch 2893/9999, Iter 144600: Loss = 0.01279426645487547, lr = [6.25e-06] +[2024-05-17 10:37:56,704] - INFO: Epoch 2893/9999, Iter 144620: Loss = 0.010593900457024574, lr = [6.25e-06] +[2024-05-17 10:38:17,162] - INFO: Epoch 2893/9999, Iter 144640: Loss = 0.013721312396228313, lr = [6.25e-06] +[2024-05-17 10:38:40,124] - INFO: Epoch 2894/9999, Iter 144660: Loss = 0.006976282224059105, lr = [6.25e-06] +[2024-05-17 10:39:00,622] - INFO: Epoch 2894/9999, Iter 144680: Loss = 0.01823209412395954, lr = [6.25e-06] +[2024-05-17 10:39:21,832] - INFO: Epoch 2895/9999, Iter 144700: Loss = 0.014944074675440788, lr = [6.25e-06] +[2024-05-17 10:39:42,992] - INFO: Epoch 2895/9999, Iter 144720: Loss = 0.01424858532845974, lr = [6.25e-06] +[2024-05-17 10:40:04,137] - INFO: Epoch 2895/9999, Iter 144740: Loss = 0.015230839140713215, lr = [6.25e-06] +[2024-05-17 10:40:13,431] - INFO: Evaluate at epoch 2895! +[2024-05-17 10:40:17,568] - INFO: Eval PSNR (max): 38.008 (2775) SSIM (max): 0.9609 (2560) +[2024-05-17 10:40:17,569] - INFO: Eval PSNR (current): 38.000 (2895) SSIM (current): 0.9608 (2895) +[2024-05-17 10:40:17,569] - INFO: Evaluation over. +[2024-05-17 10:40:34,724] - INFO: Epoch 2896/9999, Iter 144760: Loss = 0.014888940379023552, lr = [6.25e-06] +[2024-05-17 10:40:55,177] - INFO: Epoch 2896/9999, Iter 144780: Loss = 0.011565333232283592, lr = [6.25e-06] +[2024-05-17 10:41:16,436] - INFO: Epoch 2897/9999, Iter 144800: Loss = 0.012919371016323566, lr = [6.25e-06] +[2024-05-17 10:41:37,264] - INFO: Epoch 2897/9999, Iter 144820: Loss = 0.012676971964538097, lr = [6.25e-06] +[2024-05-17 10:41:58,467] - INFO: Epoch 2897/9999, Iter 144840: Loss = 0.013882589526474476, lr = [6.25e-06] +[2024-05-17 10:42:20,282] - INFO: Epoch 2898/9999, Iter 144860: Loss = 0.013980412855744362, lr = [6.25e-06] +[2024-05-17 10:42:41,672] - INFO: Epoch 2898/9999, Iter 144880: Loss = 0.013306694105267525, lr = [6.25e-06] +[2024-05-17 10:43:04,028] - INFO: Epoch 2899/9999, Iter 144900: Loss = 0.010921434499323368, lr = [6.25e-06] +[2024-05-17 10:43:24,456] - INFO: Epoch 2899/9999, Iter 144920: Loss = 0.008573263883590698, lr = [6.25e-06] +[2024-05-17 10:43:46,884] - INFO: Epoch 2899/9999, Iter 144940: Loss = 0.012410067953169346, lr = [6.25e-06] +[2024-05-17 10:44:07,131] - INFO: Epoch 2900/9999, Iter 144960: Loss = 0.013062167912721634, lr = [6.25e-06] +[2024-05-17 10:44:27,568] - INFO: Epoch 2900/9999, Iter 144980: Loss = 0.018070682883262634, lr = [6.25e-06] +[2024-05-17 10:44:47,416] - INFO: Evaluate at epoch 2900! +[2024-05-17 10:44:51,154] - INFO: Eval PSNR (max): 38.008 (2775) SSIM (max): 0.9609 (2560) +[2024-05-17 10:44:51,155] - INFO: Eval PSNR (current): 38.003 (2900) SSIM (current): 0.9608 (2900) +[2024-05-17 10:44:51,155] - INFO: Evaluation over. +[2024-05-17 10:44:57,542] - INFO: Epoch 2901/9999, Iter 145000: Loss = 0.008795978501439095, lr = [6.25e-06] +[2024-05-17 10:45:16,887] - INFO: Epoch 2901/9999, Iter 145020: Loss = 0.011271338909864426, lr = [6.25e-06] +[2024-05-17 10:45:37,752] - INFO: Epoch 2901/9999, Iter 145040: Loss = 0.012826580554246902, lr = [6.25e-06] +[2024-05-17 10:45:59,230] - INFO: Epoch 2902/9999, Iter 145060: Loss = 0.010943595319986343, lr = [6.25e-06] +[2024-05-17 10:46:20,424] - INFO: Epoch 2902/9999, Iter 145080: Loss = 0.011222313158214092, lr = [6.25e-06] +[2024-05-17 10:46:42,523] - INFO: Epoch 2903/9999, Iter 145100: Loss = 0.012695521116256714, lr = [6.25e-06] +[2024-05-17 10:47:03,584] - INFO: Epoch 2903/9999, Iter 145120: Loss = 0.01545905414968729, lr = [6.25e-06] +[2024-05-17 10:47:24,685] - INFO: Epoch 2903/9999, Iter 145140: Loss = 0.014428484253585339, lr = [6.25e-06] +[2024-05-17 10:47:46,668] - INFO: Epoch 2904/9999, Iter 145160: Loss = 0.013340509496629238, lr = [6.25e-06] +[2024-05-17 10:48:07,363] - INFO: Epoch 2904/9999, Iter 145180: Loss = 0.012951422482728958, lr = [6.25e-06] +[2024-05-17 10:48:30,227] - INFO: Epoch 2905/9999, Iter 145200: Loss = 0.015514199621975422, lr = [6.25e-06] +[2024-05-17 10:48:50,025] - INFO: Epoch 2905/9999, Iter 145220: Loss = 0.012213985435664654, lr = [6.25e-06] +[2024-05-17 10:49:11,294] - INFO: Epoch 2905/9999, Iter 145240: Loss = 0.01286497712135315, lr = [6.25e-06] +[2024-05-17 10:49:20,720] - INFO: Evaluate at epoch 2905! +[2024-05-17 10:49:24,462] - INFO: Eval PSNR (max): 38.008 (2775) SSIM (max): 0.9609 (2560) +[2024-05-17 10:49:24,462] - INFO: Eval PSNR (current): 38.006 (2905) SSIM (current): 0.9608 (2905) +[2024-05-17 10:49:24,462] - INFO: Evaluation over. +[2024-05-17 10:49:42,150] - INFO: Epoch 2906/9999, Iter 145260: Loss = 0.01994362287223339, lr = [6.25e-06] +[2024-05-17 10:50:03,024] - INFO: Epoch 2906/9999, Iter 145280: Loss = 0.013637329451739788, lr = [6.25e-06] +[2024-05-17 10:50:24,581] - INFO: Epoch 2907/9999, Iter 145300: Loss = 0.008575163781642914, lr = [6.25e-06] +[2024-05-17 10:50:45,230] - INFO: Epoch 2907/9999, Iter 145320: Loss = 0.009511095471680164, lr = [6.25e-06] +[2024-05-17 10:51:06,053] - INFO: Epoch 2907/9999, Iter 145340: Loss = 0.012228371575474739, lr = [6.25e-06] +[2024-05-17 10:51:28,502] - INFO: Epoch 2908/9999, Iter 145360: Loss = 0.013503922149538994, lr = [6.25e-06] +[2024-05-17 10:51:52,993] - INFO: Epoch 2908/9999, Iter 145380: Loss = 0.01099738571792841, lr = [6.25e-06] +[2024-05-17 10:52:14,050] - INFO: Epoch 2909/9999, Iter 145400: Loss = 0.012631736695766449, lr = [6.25e-06] +[2024-05-17 10:52:31,948] - INFO: Epoch 2909/9999, Iter 145420: Loss = 0.010238539427518845, lr = [6.25e-06] +[2024-05-17 10:52:50,679] - INFO: Epoch 2909/9999, Iter 145440: Loss = 0.016331931576132774, lr = [6.25e-06] +[2024-05-17 10:53:09,652] - INFO: Epoch 2910/9999, Iter 145460: Loss = 0.009610121138393879, lr = [6.25e-06] +[2024-05-17 10:53:27,438] - INFO: Epoch 2910/9999, Iter 145480: Loss = 0.017394954338669777, lr = [6.25e-06] +[2024-05-17 10:53:44,833] - INFO: Evaluate at epoch 2910! +[2024-05-17 10:53:48,484] - INFO: Eval PSNR (max): 38.008 (2775) SSIM (max): 0.9609 (2560) +[2024-05-17 10:53:48,485] - INFO: Eval PSNR (current): 38.004 (2910) SSIM (current): 0.9608 (2910) +[2024-05-17 10:53:48,485] - INFO: Evaluation over. +[2024-05-17 10:53:54,280] - INFO: Epoch 2911/9999, Iter 145500: Loss = 0.011377171613276005, lr = [6.25e-06] +[2024-05-17 10:54:13,019] - INFO: Epoch 2911/9999, Iter 145520: Loss = 0.011741899885237217, lr = [6.25e-06] +[2024-05-17 10:54:31,480] - INFO: Epoch 2911/9999, Iter 145540: Loss = 0.017343033105134964, lr = [6.25e-06] +[2024-05-17 10:54:50,491] - INFO: Epoch 2912/9999, Iter 145560: Loss = 0.01397265587002039, lr = [6.25e-06] +[2024-05-17 10:55:09,108] - INFO: Epoch 2912/9999, Iter 145580: Loss = 0.011945352889597416, lr = [6.25e-06] +[2024-05-17 10:55:28,612] - INFO: Epoch 2913/9999, Iter 145600: Loss = 0.017630644142627716, lr = [6.25e-06] +[2024-05-17 10:55:46,847] - INFO: Epoch 2913/9999, Iter 145620: Loss = 0.011254537850618362, lr = [6.25e-06] +[2024-05-17 10:56:04,652] - INFO: Epoch 2913/9999, Iter 145640: Loss = 0.014394081197679043, lr = [6.25e-06] +[2024-05-17 10:56:24,480] - INFO: Epoch 2914/9999, Iter 145660: Loss = 0.011473773047327995, lr = [6.25e-06] +[2024-05-17 10:56:43,236] - INFO: Epoch 2914/9999, Iter 145680: Loss = 0.008012736216187477, lr = [6.25e-06] +[2024-05-17 10:57:02,798] - INFO: Epoch 2915/9999, Iter 145700: Loss = 0.01640726812183857, lr = [6.25e-06] +[2024-05-17 10:57:20,709] - INFO: Epoch 2915/9999, Iter 145720: Loss = 0.016826637089252472, lr = [6.25e-06] +[2024-05-17 10:57:38,464] - INFO: Epoch 2915/9999, Iter 145740: Loss = 0.012172102928161621, lr = [6.25e-06] +[2024-05-17 10:57:46,822] - INFO: Evaluate at epoch 2915! +[2024-05-17 10:57:50,743] - INFO: Eval PSNR (max): 38.008 (2775) SSIM (max): 0.9609 (2560) +[2024-05-17 10:57:50,744] - INFO: Eval PSNR (current): 37.994 (2915) SSIM (current): 0.9608 (2915) +[2024-05-17 10:57:50,744] - INFO: Evaluation over. +[2024-05-17 10:58:05,302] - INFO: Epoch 2916/9999, Iter 145760: Loss = 0.015771014615893364, lr = [6.25e-06] +[2024-05-17 10:58:23,232] - INFO: Epoch 2916/9999, Iter 145780: Loss = 0.01380336657166481, lr = [6.25e-06] +[2024-05-17 10:58:42,659] - INFO: Epoch 2917/9999, Iter 145800: Loss = 0.014194577001035213, lr = [6.25e-06] +[2024-05-17 10:59:00,144] - INFO: Epoch 2917/9999, Iter 145820: Loss = 0.01476313453167677, lr = [6.25e-06] +[2024-05-17 10:59:18,453] - INFO: Epoch 2917/9999, Iter 145840: Loss = 0.013235319405794144, lr = [6.25e-06] +[2024-05-17 10:59:38,796] - INFO: Epoch 2918/9999, Iter 145860: Loss = 0.014588356018066406, lr = [6.25e-06] +[2024-05-17 10:59:57,432] - INFO: Epoch 2918/9999, Iter 145880: Loss = 0.012293846346437931, lr = [6.25e-06] +[2024-05-17 11:00:16,921] - INFO: Epoch 2919/9999, Iter 145900: Loss = 0.014923378825187683, lr = [6.25e-06] +[2024-05-17 11:00:35,863] - INFO: Epoch 2919/9999, Iter 145920: Loss = 0.009240599349141121, lr = [6.25e-06] +[2024-05-17 11:00:54,213] - INFO: Epoch 2919/9999, Iter 145940: Loss = 0.012788938358426094, lr = [6.25e-06] +[2024-05-17 11:01:13,236] - INFO: Epoch 2920/9999, Iter 145960: Loss = 0.01086310762912035, lr = [6.25e-06] +[2024-05-17 11:01:31,446] - INFO: Epoch 2920/9999, Iter 145980: Loss = 0.01288558728992939, lr = [6.25e-06] +[2024-05-17 11:01:48,681] - INFO: Evaluate at epoch 2920! +[2024-05-17 11:01:52,451] - INFO: Eval PSNR (max): 38.008 (2775) SSIM (max): 0.9609 (2560) +[2024-05-17 11:01:52,452] - INFO: Eval PSNR (current): 37.986 (2920) SSIM (current): 0.9608 (2920) +[2024-05-17 11:01:52,452] - INFO: Evaluation over. +[2024-05-17 11:01:58,517] - INFO: Epoch 2921/9999, Iter 146000: Loss = 0.011938708834350109, lr = [6.25e-06] +[2024-05-17 11:02:16,262] - INFO: Epoch 2921/9999, Iter 146020: Loss = 0.01023284625262022, lr = [6.25e-06] +[2024-05-17 11:02:33,928] - INFO: Epoch 2921/9999, Iter 146040: Loss = 0.014146510511636734, lr = [6.25e-06] +[2024-05-17 11:02:54,288] - INFO: Epoch 2922/9999, Iter 146060: Loss = 0.01690526306629181, lr = [6.25e-06] +[2024-05-17 11:03:13,224] - INFO: Epoch 2922/9999, Iter 146080: Loss = 0.01740206778049469, lr = [6.25e-06] +[2024-05-17 11:03:32,624] - INFO: Epoch 2923/9999, Iter 146100: Loss = 0.01281273178756237, lr = [6.25e-06] +[2024-05-17 11:03:50,419] - INFO: Epoch 2923/9999, Iter 146120: Loss = 0.013180787675082684, lr = [6.25e-06] +[2024-05-17 11:04:08,912] - INFO: Epoch 2923/9999, Iter 146140: Loss = 0.011329926550388336, lr = [6.25e-06] +[2024-05-17 11:04:28,688] - INFO: Epoch 2924/9999, Iter 146160: Loss = 0.009941983968019485, lr = [6.25e-06] +[2024-05-17 11:04:46,380] - INFO: Epoch 2924/9999, Iter 146180: Loss = 0.010961554944515228, lr = [6.25e-06] +[2024-05-17 11:05:06,400] - INFO: Epoch 2925/9999, Iter 146200: Loss = 0.011330950073897839, lr = [6.25e-06] +[2024-05-17 11:05:24,760] - INFO: Epoch 2925/9999, Iter 146220: Loss = 0.013298518024384975, lr = [6.25e-06] +[2024-05-17 11:05:42,756] - INFO: Epoch 2925/9999, Iter 146240: Loss = 0.011476743966341019, lr = [6.25e-06] +[2024-05-17 11:05:50,983] - INFO: Evaluate at epoch 2925! +[2024-05-17 11:05:54,558] - INFO: Eval PSNR (max): 38.008 (2775) SSIM (max): 0.9609 (2560) +[2024-05-17 11:05:54,559] - INFO: Eval PSNR (current): 38.006 (2925) SSIM (current): 0.9608 (2925) +[2024-05-17 11:05:54,559] - INFO: Evaluation over. +[2024-05-17 11:06:09,557] - INFO: Epoch 2926/9999, Iter 146260: Loss = 0.01105428859591484, lr = [6.25e-06] +[2024-05-17 11:06:28,227] - INFO: Epoch 2926/9999, Iter 146280: Loss = 0.01430551428347826, lr = [6.25e-06] +[2024-05-17 11:06:47,619] - INFO: Epoch 2927/9999, Iter 146300: Loss = 0.010712387040257454, lr = [6.25e-06] +[2024-05-17 11:07:05,768] - INFO: Epoch 2927/9999, Iter 146320: Loss = 0.014270753599703312, lr = [6.25e-06] +[2024-05-17 11:07:23,880] - INFO: Epoch 2927/9999, Iter 146340: Loss = 0.015782812610268593, lr = [6.25e-06] +[2024-05-17 11:07:42,779] - INFO: Epoch 2928/9999, Iter 146360: Loss = 0.01713838055729866, lr = [6.25e-06] +[2024-05-17 11:08:01,340] - INFO: Epoch 2928/9999, Iter 146380: Loss = 0.012672563083469868, lr = [6.25e-06] +[2024-05-17 11:08:20,778] - INFO: Epoch 2929/9999, Iter 146400: Loss = 0.009413058869540691, lr = [6.25e-06] +[2024-05-17 11:08:39,341] - INFO: Epoch 2929/9999, Iter 146420: Loss = 0.012894667685031891, lr = [6.25e-06] +[2024-05-17 11:08:57,469] - INFO: Epoch 2929/9999, Iter 146440: Loss = 0.015968428924679756, lr = [6.25e-06] +[2024-05-17 11:09:16,815] - INFO: Epoch 2930/9999, Iter 146460: Loss = 0.011798304505646229, lr = [6.25e-06] +[2024-05-17 11:09:34,282] - INFO: Epoch 2930/9999, Iter 146480: Loss = 0.0153881860896945, lr = [6.25e-06] +[2024-05-17 11:09:51,438] - INFO: Evaluate at epoch 2930! +[2024-05-17 11:09:54,787] - INFO: Eval PSNR (max): 38.008 (2775) SSIM (max): 0.9609 (2560) +[2024-05-17 11:09:54,787] - INFO: Eval PSNR (current): 38.000 (2930) SSIM (current): 0.9608 (2930) +[2024-05-17 11:09:54,787] - INFO: Evaluation over. +[2024-05-17 11:10:00,758] - INFO: Epoch 2931/9999, Iter 146500: Loss = 0.009071175940334797, lr = [6.25e-06] +[2024-05-17 11:10:19,172] - INFO: Epoch 2931/9999, Iter 146520: Loss = 0.016366390511393547, lr = [6.25e-06] +[2024-05-17 11:10:37,601] - INFO: Epoch 2931/9999, Iter 146540: Loss = 0.014362141489982605, lr = [6.25e-06] +[2024-05-17 11:10:56,273] - INFO: Epoch 2932/9999, Iter 146560: Loss = 0.011530542746186256, lr = [6.25e-06] +[2024-05-17 11:11:14,278] - INFO: Epoch 2932/9999, Iter 146580: Loss = 0.01668480969965458, lr = [6.25e-06] +[2024-05-17 11:11:33,332] - INFO: Epoch 2933/9999, Iter 146600: Loss = 0.012692884542047977, lr = [6.25e-06] +[2024-05-17 11:11:51,132] - INFO: Epoch 2933/9999, Iter 146620: Loss = 0.013572009280323982, lr = [6.25e-06] +[2024-05-17 11:12:09,176] - INFO: Epoch 2933/9999, Iter 146640: Loss = 0.012470562942326069, lr = [6.25e-06] +[2024-05-17 11:12:28,001] - INFO: Epoch 2934/9999, Iter 146660: Loss = 0.014347718097269535, lr = [6.25e-06] +[2024-05-17 11:12:45,543] - INFO: Epoch 2934/9999, Iter 146680: Loss = 0.018771663308143616, lr = [6.25e-06] +[2024-05-17 11:13:04,759] - INFO: Epoch 2935/9999, Iter 146700: Loss = 0.011350910179316998, lr = [6.25e-06] +[2024-05-17 11:13:21,531] - INFO: Epoch 2935/9999, Iter 146720: Loss = 0.011992878280580044, lr = [6.25e-06] +[2024-05-17 11:13:38,968] - INFO: Epoch 2935/9999, Iter 146740: Loss = 0.021337982267141342, lr = [6.25e-06] +[2024-05-17 11:13:46,977] - INFO: Evaluate at epoch 2935! +[2024-05-17 11:13:50,573] - INFO: Eval PSNR (max): 38.008 (2775) SSIM (max): 0.9609 (2560) +[2024-05-17 11:13:50,573] - INFO: Eval PSNR (current): 38.001 (2935) SSIM (current): 0.9608 (2935) +[2024-05-17 11:13:50,573] - INFO: Evaluation over. +[2024-05-17 11:14:05,186] - INFO: Epoch 2936/9999, Iter 146760: Loss = 0.011357070878148079, lr = [6.25e-06] +[2024-05-17 11:14:22,729] - INFO: Epoch 2936/9999, Iter 146780: Loss = 0.01210101693868637, lr = [6.25e-06] +[2024-05-17 11:14:41,568] - INFO: Epoch 2937/9999, Iter 146800: Loss = 0.013288681395351887, lr = [6.25e-06] +[2024-05-17 11:15:00,008] - INFO: Epoch 2937/9999, Iter 146820: Loss = 0.013335881754755974, lr = [6.25e-06] +[2024-05-17 11:15:17,912] - INFO: Epoch 2937/9999, Iter 146840: Loss = 0.013508529402315617, lr = [6.25e-06] +[2024-05-17 11:15:36,884] - INFO: Epoch 2938/9999, Iter 146860: Loss = 0.011189750395715237, lr = [6.25e-06] +[2024-05-17 11:15:54,762] - INFO: Epoch 2938/9999, Iter 146880: Loss = 0.01579444110393524, lr = [6.25e-06] +[2024-05-17 11:16:13,372] - INFO: Epoch 2939/9999, Iter 146900: Loss = 0.009282909333705902, lr = [6.25e-06] +[2024-05-17 11:16:31,145] - INFO: Epoch 2939/9999, Iter 146920: Loss = 0.013181595131754875, lr = [6.25e-06] +[2024-05-17 11:16:49,034] - INFO: Epoch 2939/9999, Iter 146940: Loss = 0.016539141535758972, lr = [6.25e-06] +[2024-05-17 11:17:07,512] - INFO: Epoch 2940/9999, Iter 146960: Loss = 0.014867656864225864, lr = [6.25e-06] +[2024-05-17 11:17:24,760] - INFO: Epoch 2940/9999, Iter 146980: Loss = 0.010628785006701946, lr = [6.25e-06] +[2024-05-17 11:17:42,082] - INFO: Evaluate at epoch 2940! +[2024-05-17 11:17:45,645] - INFO: Eval PSNR (max): 38.008 (2775) SSIM (max): 0.9609 (2560) +[2024-05-17 11:17:45,645] - INFO: Eval PSNR (current): 38.008 (2940) SSIM (current): 0.9608 (2940) +[2024-05-17 11:17:45,645] - INFO: Evaluation over. +[2024-05-17 11:17:51,820] - INFO: Epoch 2941/9999, Iter 147000: Loss = 0.016557343304157257, lr = [6.25e-06] +[2024-05-17 11:18:09,594] - INFO: Epoch 2941/9999, Iter 147020: Loss = 0.008381199091672897, lr = [6.25e-06] +[2024-05-17 11:18:27,843] - INFO: Epoch 2941/9999, Iter 147040: Loss = 0.011305912397801876, lr = [6.25e-06] +[2024-05-17 11:18:46,866] - INFO: Epoch 2942/9999, Iter 147060: Loss = 0.017041245475411415, lr = [6.25e-06] +[2024-05-17 11:19:04,865] - INFO: Epoch 2942/9999, Iter 147080: Loss = 0.015045523643493652, lr = [6.25e-06] +[2024-05-17 11:19:23,912] - INFO: Epoch 2943/9999, Iter 147100: Loss = 0.012961705215275288, lr = [6.25e-06] +[2024-05-17 11:19:42,186] - INFO: Epoch 2943/9999, Iter 147120: Loss = 0.01391209103167057, lr = [6.25e-06] +[2024-05-17 11:19:59,512] - INFO: Epoch 2943/9999, Iter 147140: Loss = 0.01197122409939766, lr = [6.25e-06] +[2024-05-17 11:20:18,504] - INFO: Epoch 2944/9999, Iter 147160: Loss = 0.012869071215391159, lr = [6.25e-06] +[2024-05-17 11:20:35,836] - INFO: Epoch 2944/9999, Iter 147180: Loss = 0.015117074362933636, lr = [6.25e-06] +[2024-05-17 11:20:55,027] - INFO: Epoch 2945/9999, Iter 147200: Loss = 0.011373196728527546, lr = [6.25e-06] +[2024-05-17 11:21:13,382] - INFO: Epoch 2945/9999, Iter 147220: Loss = 0.010794908739626408, lr = [6.25e-06] +[2024-05-17 11:21:31,238] - INFO: Epoch 2945/9999, Iter 147240: Loss = 0.013367910869419575, lr = [6.25e-06] +[2024-05-17 11:21:39,228] - INFO: Evaluate at epoch 2945! +[2024-05-17 11:21:43,044] - INFO: Eval PSNR (max): 38.008 (2775) SSIM (max): 0.9609 (2560) +[2024-05-17 11:21:43,045] - INFO: Eval PSNR (current): 38.004 (2945) SSIM (current): 0.9608 (2945) +[2024-05-17 11:21:43,045] - INFO: Evaluation over. +[2024-05-17 11:21:58,323] - INFO: Epoch 2946/9999, Iter 147260: Loss = 0.012651249766349792, lr = [6.25e-06] +[2024-05-17 11:22:15,849] - INFO: Epoch 2946/9999, Iter 147280: Loss = 0.00851918663829565, lr = [6.25e-06] +[2024-05-17 11:22:34,689] - INFO: Epoch 2947/9999, Iter 147300: Loss = 0.011649081483483315, lr = [6.25e-06] +[2024-05-17 11:22:51,324] - INFO: Epoch 2947/9999, Iter 147320: Loss = 0.016498250886797905, lr = [6.25e-06] +[2024-05-17 11:23:08,957] - INFO: Epoch 2947/9999, Iter 147340: Loss = 0.008868800476193428, lr = [6.25e-06] +[2024-05-17 11:23:27,532] - INFO: Epoch 2948/9999, Iter 147360: Loss = 0.015872163698077202, lr = [6.25e-06] +[2024-05-17 11:23:44,744] - INFO: Epoch 2948/9999, Iter 147380: Loss = 0.01150007825344801, lr = [6.25e-06] +[2024-05-17 11:24:03,809] - INFO: Epoch 2949/9999, Iter 147400: Loss = 0.01215215865522623, lr = [6.25e-06] +[2024-05-17 11:24:21,319] - INFO: Epoch 2949/9999, Iter 147420: Loss = 0.008694570511579514, lr = [6.25e-06] +[2024-05-17 11:24:38,390] - INFO: Epoch 2949/9999, Iter 147440: Loss = 0.014943350106477737, lr = [6.25e-06] +[2024-05-17 11:24:57,229] - INFO: Epoch 2950/9999, Iter 147460: Loss = 0.014738042838871479, lr = [6.25e-06] +[2024-05-17 11:25:15,036] - INFO: Epoch 2950/9999, Iter 147480: Loss = 0.012447147630155087, lr = [6.25e-06] +[2024-05-17 11:25:31,863] - INFO: Evaluate at epoch 2950! +[2024-05-17 11:25:35,302] - INFO: Eval PSNR (max): 38.008 (2775) SSIM (max): 0.9609 (2560) +[2024-05-17 11:25:35,302] - INFO: Eval PSNR (current): 38.005 (2950) SSIM (current): 0.9608 (2950) +[2024-05-17 11:25:35,302] - INFO: Evaluation over. +[2024-05-17 11:25:41,471] - INFO: Epoch 2951/9999, Iter 147500: Loss = 0.014760534279048443, lr = [6.25e-06] +[2024-05-17 11:25:59,035] - INFO: Epoch 2951/9999, Iter 147520: Loss = 0.011332035064697266, lr = [6.25e-06] +[2024-05-17 11:26:17,445] - INFO: Epoch 2951/9999, Iter 147540: Loss = 0.010610388591885567, lr = [6.25e-06] +[2024-05-17 11:26:36,430] - INFO: Epoch 2952/9999, Iter 147560: Loss = 0.013359664008021355, lr = [6.25e-06] +[2024-05-17 11:26:53,796] - INFO: Epoch 2952/9999, Iter 147580: Loss = 0.01298749353736639, lr = [6.25e-06] +[2024-05-17 11:27:13,089] - INFO: Epoch 2953/9999, Iter 147600: Loss = 0.01082351803779602, lr = [6.25e-06] +[2024-05-17 11:27:30,732] - INFO: Epoch 2953/9999, Iter 147620: Loss = 0.009961669333279133, lr = [6.25e-06] +[2024-05-17 11:27:48,332] - INFO: Epoch 2953/9999, Iter 147640: Loss = 0.012663917616009712, lr = [6.25e-06] +[2024-05-17 11:28:07,409] - INFO: Epoch 2954/9999, Iter 147660: Loss = 0.01769411191344261, lr = [6.25e-06] +[2024-05-17 11:28:25,789] - INFO: Epoch 2954/9999, Iter 147680: Loss = 0.010458818636834621, lr = [6.25e-06] +[2024-05-17 11:28:44,960] - INFO: Epoch 2955/9999, Iter 147700: Loss = 0.015387395396828651, lr = [6.25e-06] +[2024-05-17 11:29:03,054] - INFO: Epoch 2955/9999, Iter 147720: Loss = 0.011333514004945755, lr = [6.25e-06] +[2024-05-17 11:29:21,136] - INFO: Epoch 2955/9999, Iter 147740: Loss = 0.01574963703751564, lr = [6.25e-06] +[2024-05-17 11:29:28,462] - INFO: Evaluate at epoch 2955! +[2024-05-17 11:29:31,959] - INFO: Eval PSNR (max): 38.008 (2775) SSIM (max): 0.9609 (2560) +[2024-05-17 11:29:31,959] - INFO: Eval PSNR (current): 37.998 (2955) SSIM (current): 0.9608 (2955) +[2024-05-17 11:29:31,959] - INFO: Evaluation over. +[2024-05-17 11:29:46,436] - INFO: Epoch 2956/9999, Iter 147760: Loss = 0.01588710956275463, lr = [6.25e-06] +[2024-05-17 11:30:03,911] - INFO: Epoch 2956/9999, Iter 147780: Loss = 0.016302764415740967, lr = [6.25e-06] +[2024-05-17 11:30:23,186] - INFO: Epoch 2957/9999, Iter 147800: Loss = 0.013971138745546341, lr = [6.25e-06] +[2024-05-17 11:30:41,792] - INFO: Epoch 2957/9999, Iter 147820: Loss = 0.01347749587148428, lr = [6.25e-06] +[2024-05-17 11:31:00,132] - INFO: Epoch 2957/9999, Iter 147840: Loss = 0.013466272503137589, lr = [6.25e-06] +[2024-05-17 11:31:18,922] - INFO: Epoch 2958/9999, Iter 147860: Loss = 0.016591066494584084, lr = [6.25e-06] +[2024-05-17 11:31:36,443] - INFO: Epoch 2958/9999, Iter 147880: Loss = 0.011856292374432087, lr = [6.25e-06] +[2024-05-17 11:31:55,989] - INFO: Epoch 2959/9999, Iter 147900: Loss = 0.013141137547791004, lr = [6.25e-06] +[2024-05-17 11:32:14,012] - INFO: Epoch 2959/9999, Iter 147920: Loss = 0.009709070436656475, lr = [6.25e-06] +[2024-05-17 11:32:32,068] - INFO: Epoch 2959/9999, Iter 147940: Loss = 0.011988974176347256, lr = [6.25e-06] +[2024-05-17 11:32:50,784] - INFO: Epoch 2960/9999, Iter 147960: Loss = 0.010544045828282833, lr = [6.25e-06] +[2024-05-17 11:33:08,378] - INFO: Epoch 2960/9999, Iter 147980: Loss = 0.012208307161927223, lr = [6.25e-06] +[2024-05-17 11:33:25,452] - INFO: Evaluate at epoch 2960! +[2024-05-17 11:33:29,027] - INFO: Eval PSNR (max): 38.008 (2775) SSIM (max): 0.9609 (2560) +[2024-05-17 11:33:29,027] - INFO: Eval PSNR (current): 38.007 (2960) SSIM (current): 0.9608 (2960) +[2024-05-17 11:33:29,027] - INFO: Evaluation over. +[2024-05-17 11:33:35,118] - INFO: Epoch 2961/9999, Iter 148000: Loss = 0.016143836081027985, lr = [6.25e-06] +[2024-05-17 11:33:52,566] - INFO: Epoch 2961/9999, Iter 148020: Loss = 0.012209313921630383, lr = [6.25e-06] +[2024-05-17 11:34:09,580] - INFO: Epoch 2961/9999, Iter 148040: Loss = 0.01081099547445774, lr = [6.25e-06] +[2024-05-17 11:34:29,130] - INFO: Epoch 2962/9999, Iter 148060: Loss = 0.018148653209209442, lr = [6.25e-06] +[2024-05-17 11:34:46,280] - INFO: Epoch 2962/9999, Iter 148080: Loss = 0.018360493704676628, lr = [6.25e-06] +[2024-05-17 11:35:05,738] - INFO: Epoch 2963/9999, Iter 148100: Loss = 0.010137636214494705, lr = [6.25e-06] +[2024-05-17 11:35:23,168] - INFO: Epoch 2963/9999, Iter 148120: Loss = 0.016024883836507797, lr = [6.25e-06] +[2024-05-17 11:35:40,770] - INFO: Epoch 2963/9999, Iter 148140: Loss = 0.007839183323085308, lr = [6.25e-06] +[2024-05-17 11:36:00,040] - INFO: Epoch 2964/9999, Iter 148160: Loss = 0.015179534442722797, lr = [6.25e-06] +[2024-05-17 11:36:17,672] - INFO: Epoch 2964/9999, Iter 148180: Loss = 0.00792464055120945, lr = [6.25e-06] +[2024-05-17 11:36:35,988] - INFO: Epoch 2965/9999, Iter 148200: Loss = 0.015244852751493454, lr = [6.25e-06] +[2024-05-17 11:36:53,188] - INFO: Epoch 2965/9999, Iter 148220: Loss = 0.010215995833277702, lr = [6.25e-06] +[2024-05-17 11:37:11,104] - INFO: Epoch 2965/9999, Iter 148240: Loss = 0.010937313549220562, lr = [6.25e-06] +[2024-05-17 11:37:19,011] - INFO: Evaluate at epoch 2965! +[2024-05-17 11:37:22,615] - INFO: Eval PSNR (max): 38.008 (2775) SSIM (max): 0.9609 (2560) +[2024-05-17 11:37:22,615] - INFO: Eval PSNR (current): 38.000 (2965) SSIM (current): 0.9608 (2965) +[2024-05-17 11:37:22,615] - INFO: Evaluation over. +[2024-05-17 11:37:37,962] - INFO: Epoch 2966/9999, Iter 148260: Loss = 0.007770725525915623, lr = [6.25e-06] +[2024-05-17 11:37:55,290] - INFO: Epoch 2966/9999, Iter 148280: Loss = 0.010140138678252697, lr = [6.25e-06] +[2024-05-17 11:38:15,104] - INFO: Epoch 2967/9999, Iter 148300: Loss = 0.013365466147661209, lr = [6.25e-06] +[2024-05-17 11:38:33,106] - INFO: Epoch 2967/9999, Iter 148320: Loss = 0.014573176391422749, lr = [6.25e-06] +[2024-05-17 11:38:51,046] - INFO: Epoch 2967/9999, Iter 148340: Loss = 0.01043991930782795, lr = [6.25e-06] +[2024-05-17 11:39:10,172] - INFO: Epoch 2968/9999, Iter 148360: Loss = 0.00900199357420206, lr = [6.25e-06] +[2024-05-17 11:39:28,004] - INFO: Epoch 2968/9999, Iter 148380: Loss = 0.012649853713810444, lr = [6.25e-06] +[2024-05-17 11:39:47,371] - INFO: Epoch 2969/9999, Iter 148400: Loss = 0.017278818413615227, lr = [6.25e-06] +[2024-05-17 11:40:04,292] - INFO: Epoch 2969/9999, Iter 148420: Loss = 0.013111547566950321, lr = [6.25e-06] +[2024-05-17 11:40:21,664] - INFO: Epoch 2969/9999, Iter 148440: Loss = 0.012735814787447453, lr = [6.25e-06] +[2024-05-17 11:40:41,736] - INFO: Epoch 2970/9999, Iter 148460: Loss = 0.00854263361543417, lr = [6.25e-06] +[2024-05-17 11:40:59,338] - INFO: Epoch 2970/9999, Iter 148480: Loss = 0.013744485564529896, lr = [6.25e-06] +[2024-05-17 11:41:16,092] - INFO: Evaluate at epoch 2970! +[2024-05-17 11:41:19,620] - INFO: Eval PSNR (max): 38.008 (2775) SSIM (max): 0.9609 (2560) +[2024-05-17 11:41:19,620] - INFO: Eval PSNR (current): 37.983 (2970) SSIM (current): 0.9608 (2970) +[2024-05-17 11:41:19,620] - INFO: Evaluation over. +[2024-05-17 11:41:25,805] - INFO: Epoch 2971/9999, Iter 148500: Loss = 0.013029742054641247, lr = [6.25e-06] +[2024-05-17 11:41:44,345] - INFO: Epoch 2971/9999, Iter 148520: Loss = 0.012110739946365356, lr = [6.25e-06] +[2024-05-17 11:42:02,246] - INFO: Epoch 2971/9999, Iter 148540: Loss = 0.010214702226221561, lr = [6.25e-06] +[2024-05-17 11:42:21,504] - INFO: Epoch 2972/9999, Iter 148560: Loss = 0.01290855836123228, lr = [6.25e-06] +[2024-05-17 11:42:39,782] - INFO: Epoch 2972/9999, Iter 148580: Loss = 0.00848451443016529, lr = [6.25e-06] +[2024-05-17 11:42:58,773] - INFO: Epoch 2973/9999, Iter 148600: Loss = 0.012579666450619698, lr = [6.25e-06] +[2024-05-17 11:43:16,282] - INFO: Epoch 2973/9999, Iter 148620: Loss = 0.011621546000242233, lr = [6.25e-06] +[2024-05-17 11:43:33,634] - INFO: Epoch 2973/9999, Iter 148640: Loss = 0.013421864248812199, lr = [6.25e-06] +[2024-05-17 11:43:52,826] - INFO: Epoch 2974/9999, Iter 148660: Loss = 0.009745675139129162, lr = [6.25e-06] +[2024-05-17 11:44:10,515] - INFO: Epoch 2974/9999, Iter 148680: Loss = 0.013504914939403534, lr = [6.25e-06] +[2024-05-17 11:44:29,559] - INFO: Epoch 2975/9999, Iter 148700: Loss = 0.016500258818268776, lr = [6.25e-06] +[2024-05-17 11:44:47,659] - INFO: Epoch 2975/9999, Iter 148720: Loss = 0.014102176763117313, lr = [6.25e-06] +[2024-05-17 11:45:05,546] - INFO: Epoch 2975/9999, Iter 148740: Loss = 0.010562173090875149, lr = [6.25e-06] +[2024-05-17 11:45:13,224] - INFO: Evaluate at epoch 2975! +[2024-05-17 11:45:16,616] - INFO: Eval PSNR (max): 38.008 (2775) SSIM (max): 0.9609 (2560) +[2024-05-17 11:45:16,616] - INFO: Eval PSNR (current): 37.994 (2975) SSIM (current): 0.9608 (2975) +[2024-05-17 11:45:16,617] - INFO: Evaluation over. +[2024-05-17 11:45:31,868] - INFO: Epoch 2976/9999, Iter 148760: Loss = 0.010518929921090603, lr = [6.25e-06] +[2024-05-17 11:45:49,880] - INFO: Epoch 2976/9999, Iter 148780: Loss = 0.012223944067955017, lr = [6.25e-06] +[2024-05-17 11:46:09,190] - INFO: Epoch 2977/9999, Iter 148800: Loss = 0.013130194507539272, lr = [6.25e-06] +[2024-05-17 11:46:26,756] - INFO: Epoch 2977/9999, Iter 148820: Loss = 0.008572995662689209, lr = [6.25e-06] +[2024-05-17 11:46:44,956] - INFO: Epoch 2977/9999, Iter 148840: Loss = 0.01161899883300066, lr = [6.25e-06] +[2024-05-17 11:47:04,256] - INFO: Epoch 2978/9999, Iter 148860: Loss = 0.007107830606400967, lr = [6.25e-06] +[2024-05-17 11:47:22,108] - INFO: Epoch 2978/9999, Iter 148880: Loss = 0.014740528538823128, lr = [6.25e-06] +[2024-05-17 11:47:40,645] - INFO: Epoch 2979/9999, Iter 148900: Loss = 0.016341207548975945, lr = [6.25e-06] +[2024-05-17 11:47:58,500] - INFO: Epoch 2979/9999, Iter 148920: Loss = 0.015465444885194302, lr = [6.25e-06] +[2024-05-17 11:48:16,307] - INFO: Epoch 2979/9999, Iter 148940: Loss = 0.008625860325992107, lr = [6.25e-06] +[2024-05-17 11:48:35,075] - INFO: Epoch 2980/9999, Iter 148960: Loss = 0.015408395789563656, lr = [6.25e-06] +[2024-05-17 11:48:52,588] - INFO: Epoch 2980/9999, Iter 148980: Loss = 0.015230636112391949, lr = [6.25e-06] +[2024-05-17 11:49:09,515] - INFO: Evaluate at epoch 2980! +[2024-05-17 11:49:13,006] - INFO: Eval PSNR (max): 38.008 (2775) SSIM (max): 0.9609 (2560) +[2024-05-17 11:49:13,006] - INFO: Eval PSNR (current): 38.001 (2980) SSIM (current): 0.9608 (2980) +[2024-05-17 11:49:13,006] - INFO: Evaluation over. +[2024-05-17 11:49:19,120] - INFO: Epoch 2981/9999, Iter 149000: Loss = 0.011670900508761406, lr = [6.25e-06] +[2024-05-17 11:49:36,946] - INFO: Epoch 2981/9999, Iter 149020: Loss = 0.011460313573479652, lr = [6.25e-06] +[2024-05-17 11:49:55,160] - INFO: Epoch 2981/9999, Iter 149040: Loss = 0.009789546020328999, lr = [6.25e-06] +[2024-05-17 11:50:14,343] - INFO: Epoch 2982/9999, Iter 149060: Loss = 0.02059497870504856, lr = [6.25e-06] +[2024-05-17 11:50:32,681] - INFO: Epoch 2982/9999, Iter 149080: Loss = 0.012397559359669685, lr = [6.25e-06] +[2024-05-17 11:50:51,768] - INFO: Epoch 2983/9999, Iter 149100: Loss = 0.010617122985422611, lr = [6.25e-06] +[2024-05-17 11:51:09,395] - INFO: Epoch 2983/9999, Iter 149120: Loss = 0.010090084746479988, lr = [6.25e-06] +[2024-05-17 11:51:26,464] - INFO: Epoch 2983/9999, Iter 149140: Loss = 0.013659393414855003, lr = [6.25e-06] +[2024-05-17 11:51:45,522] - INFO: Epoch 2984/9999, Iter 149160: Loss = 0.013382275588810444, lr = [6.25e-06] +[2024-05-17 11:52:02,392] - INFO: Epoch 2984/9999, Iter 149180: Loss = 0.013760554604232311, lr = [6.25e-06] +[2024-05-17 11:52:22,000] - INFO: Epoch 2985/9999, Iter 149200: Loss = 0.014010332524776459, lr = [6.25e-06] +[2024-05-17 11:52:38,792] - INFO: Epoch 2985/9999, Iter 149220: Loss = 0.015462631359696388, lr = [6.25e-06] +[2024-05-17 11:52:56,546] - INFO: Epoch 2985/9999, Iter 149240: Loss = 0.012006426230072975, lr = [6.25e-06] +[2024-05-17 11:53:04,454] - INFO: Evaluate at epoch 2985! +[2024-05-17 11:53:12,234] - INFO: Eval PSNR (max): 38.010 (2985) SSIM (max): 0.9609 (2560) +[2024-05-17 11:53:12,234] - INFO: Eval PSNR (current): 38.010 (2985) SSIM (current): 0.9608 (2985) +[2024-05-17 11:53:12,234] - INFO: Evaluation over. +[2024-05-17 11:53:27,088] - INFO: Epoch 2986/9999, Iter 149260: Loss = 0.008050498552620411, lr = [6.25e-06] +[2024-05-17 11:53:45,134] - INFO: Epoch 2986/9999, Iter 149280: Loss = 0.014082789421081543, lr = [6.25e-06] +[2024-05-17 11:54:04,070] - INFO: Epoch 2987/9999, Iter 149300: Loss = 0.011231512762606144, lr = [6.25e-06] +[2024-05-17 11:54:21,855] - INFO: Epoch 2987/9999, Iter 149320: Loss = 0.012897774577140808, lr = [6.25e-06] +[2024-05-17 11:54:39,664] - INFO: Epoch 2987/9999, Iter 149340: Loss = 0.012239150702953339, lr = [6.25e-06] +[2024-05-17 11:54:58,759] - INFO: Epoch 2988/9999, Iter 149360: Loss = 0.00895172543823719, lr = [6.25e-06] +[2024-05-17 11:55:17,132] - INFO: Epoch 2988/9999, Iter 149380: Loss = 0.013202349655330181, lr = [6.25e-06] +[2024-05-17 11:55:36,348] - INFO: Epoch 2989/9999, Iter 149400: Loss = 0.014552599750459194, lr = [6.25e-06] +[2024-05-17 11:55:54,556] - INFO: Epoch 2989/9999, Iter 149420: Loss = 0.008982265368103981, lr = [6.25e-06] +[2024-05-17 11:56:12,984] - INFO: Epoch 2989/9999, Iter 149440: Loss = 0.015672113746404648, lr = [6.25e-06] +[2024-05-17 11:56:31,905] - INFO: Epoch 2990/9999, Iter 149460: Loss = 0.017247363924980164, lr = [6.25e-06] +[2024-05-17 11:56:49,406] - INFO: Epoch 2990/9999, Iter 149480: Loss = 0.011942528188228607, lr = [6.25e-06] +[2024-05-17 11:57:05,886] - INFO: Evaluate at epoch 2990! +[2024-05-17 11:57:09,494] - INFO: Eval PSNR (max): 38.010 (2985) SSIM (max): 0.9609 (2560) +[2024-05-17 11:57:09,494] - INFO: Eval PSNR (current): 37.994 (2990) SSIM (current): 0.9608 (2990) +[2024-05-17 11:57:09,494] - INFO: Evaluation over. +[2024-05-17 11:57:15,833] - INFO: Epoch 2991/9999, Iter 149500: Loss = 0.01137327030301094, lr = [6.25e-06] +[2024-05-17 11:57:34,195] - INFO: Epoch 2991/9999, Iter 149520: Loss = 0.014369921758770943, lr = [6.25e-06] +[2024-05-17 11:57:52,085] - INFO: Epoch 2991/9999, Iter 149540: Loss = 0.014912311919033527, lr = [6.25e-06] +[2024-05-17 11:58:10,975] - INFO: Epoch 2992/9999, Iter 149560: Loss = 0.014182733371853828, lr = [6.25e-06] +[2024-05-17 11:58:28,955] - INFO: Epoch 2992/9999, Iter 149580: Loss = 0.01176760159432888, lr = [6.25e-06] +[2024-05-17 11:58:48,259] - INFO: Epoch 2993/9999, Iter 149600: Loss = 0.010884527117013931, lr = [6.25e-06] +[2024-05-17 11:59:06,592] - INFO: Epoch 2993/9999, Iter 149620: Loss = 0.012378701940178871, lr = [6.25e-06] +[2024-05-17 11:59:24,641] - INFO: Epoch 2993/9999, Iter 149640: Loss = 0.011086666025221348, lr = [6.25e-06] +[2024-05-17 11:59:43,677] - INFO: Epoch 2994/9999, Iter 149660: Loss = 0.012913169339299202, lr = [6.25e-06] +[2024-05-17 12:00:01,664] - INFO: Epoch 2994/9999, Iter 149680: Loss = 0.012980781495571136, lr = [6.25e-06] +[2024-05-17 12:00:20,580] - INFO: Epoch 2995/9999, Iter 149700: Loss = 0.013497491367161274, lr = [6.25e-06] +[2024-05-17 12:00:38,219] - INFO: Epoch 2995/9999, Iter 149720: Loss = 0.01254810206592083, lr = [6.25e-06] +[2024-05-17 12:00:56,831] - INFO: Epoch 2995/9999, Iter 149740: Loss = 0.009243234060704708, lr = [6.25e-06] +[2024-05-17 12:01:04,340] - INFO: Evaluate at epoch 2995! +[2024-05-17 12:01:07,943] - INFO: Eval PSNR (max): 38.010 (2985) SSIM (max): 0.9609 (2560) +[2024-05-17 12:01:07,944] - INFO: Eval PSNR (current): 37.993 (2995) SSIM (current): 0.9608 (2995) +[2024-05-17 12:01:07,944] - INFO: Evaluation over. +[2024-05-17 12:01:23,095] - INFO: Epoch 2996/9999, Iter 149760: Loss = 0.01378030888736248, lr = [6.25e-06] +[2024-05-17 12:01:40,372] - INFO: Epoch 2996/9999, Iter 149780: Loss = 0.017850510776042938, lr = [6.25e-06] +[2024-05-17 12:01:59,836] - INFO: Epoch 2997/9999, Iter 149800: Loss = 0.012972886674106121, lr = [6.25e-06] +[2024-05-17 12:02:17,320] - INFO: Epoch 2997/9999, Iter 149820: Loss = 0.008585888892412186, lr = [6.25e-06] +[2024-05-17 12:02:35,716] - INFO: Epoch 2997/9999, Iter 149840: Loss = 0.00898673664778471, lr = [6.25e-06] +[2024-05-17 12:02:54,303] - INFO: Epoch 2998/9999, Iter 149860: Loss = 0.0191026758402586, lr = [6.25e-06] +[2024-05-17 12:03:12,004] - INFO: Epoch 2998/9999, Iter 149880: Loss = 0.01022968627512455, lr = [6.25e-06] +[2024-05-17 12:03:30,688] - INFO: Epoch 2999/9999, Iter 149900: Loss = 0.008469918742775917, lr = [6.25e-06] +[2024-05-17 12:03:48,539] - INFO: Epoch 2999/9999, Iter 149920: Loss = 0.016871381551027298, lr = [6.25e-06] +[2024-05-17 12:04:05,855] - INFO: Epoch 2999/9999, Iter 149940: Loss = 0.013705801218748093, lr = [6.25e-06] +[2024-05-17 12:04:25,336] - INFO: Epoch 3000/9999, Iter 149960: Loss = 0.018758196383714676, lr = [6.25e-06] +[2024-05-17 12:04:43,260] - INFO: Epoch 3000/9999, Iter 149980: Loss = 0.01042348612099886, lr = [6.25e-06] +[2024-05-17 12:04:59,918] - INFO: Evaluate at epoch 3000! +[2024-05-17 12:05:03,352] - INFO: Eval PSNR (max): 38.010 (2985) SSIM (max): 0.9609 (2560) +[2024-05-17 12:05:03,352] - INFO: Eval PSNR (current): 38.005 (3000) SSIM (current): 0.9608 (3000) +[2024-05-17 12:05:03,352] - INFO: Evaluation over. +[2024-05-17 12:05:09,451] - INFO: Epoch 3001/9999, Iter 150000: Loss = 0.010712327435612679, lr = [6.25e-06] +[2024-05-17 12:05:26,791] - INFO: Epoch 3001/9999, Iter 150020: Loss = 0.013734549283981323, lr = [6.25e-06] +[2024-05-17 12:05:44,172] - INFO: Epoch 3001/9999, Iter 150040: Loss = 0.011227537877857685, lr = [6.25e-06] +[2024-05-17 12:06:03,772] - INFO: Epoch 3002/9999, Iter 150060: Loss = 0.012229678221046925, lr = [6.25e-06] +[2024-05-17 12:06:21,575] - INFO: Epoch 3002/9999, Iter 150080: Loss = 0.014847285114228725, lr = [6.25e-06] +[2024-05-17 12:06:40,457] - INFO: Epoch 3003/9999, Iter 150100: Loss = 0.005820756778120995, lr = [6.25e-06] +[2024-05-17 12:06:58,233] - INFO: Epoch 3003/9999, Iter 150120: Loss = 0.009734248742461205, lr = [6.25e-06] +[2024-05-17 12:07:15,286] - INFO: Epoch 3003/9999, Iter 150140: Loss = 0.01101900078356266, lr = [6.25e-06] +[2024-05-17 12:07:33,910] - INFO: Epoch 3004/9999, Iter 150160: Loss = 0.013195397332310677, lr = [6.25e-06] +[2024-05-17 12:07:51,412] - INFO: Epoch 3004/9999, Iter 150180: Loss = 0.008518535643815994, lr = [6.25e-06] +[2024-05-17 12:08:10,873] - INFO: Epoch 3005/9999, Iter 150200: Loss = 0.012862433679401875, lr = [6.25e-06] +[2024-05-17 12:08:29,034] - INFO: Epoch 3005/9999, Iter 150220: Loss = 0.015217261388897896, lr = [6.25e-06] +[2024-05-17 12:08:46,846] - INFO: Epoch 3005/9999, Iter 150240: Loss = 0.010506220161914825, lr = [6.25e-06] +[2024-05-17 12:08:54,501] - INFO: Evaluate at epoch 3005! +[2024-05-17 12:08:58,216] - INFO: Eval PSNR (max): 38.010 (2985) SSIM (max): 0.9609 (2560) +[2024-05-17 12:08:58,216] - INFO: Eval PSNR (current): 37.987 (3005) SSIM (current): 0.9608 (3005) +[2024-05-17 12:08:58,216] - INFO: Evaluation over. +[2024-05-17 12:09:12,909] - INFO: Epoch 3006/9999, Iter 150260: Loss = 0.010408812202513218, lr = [6.25e-06] +[2024-05-17 12:09:30,443] - INFO: Epoch 3006/9999, Iter 150280: Loss = 0.013614506460726261, lr = [6.25e-06] +[2024-05-17 12:09:49,520] - INFO: Epoch 3007/9999, Iter 150300: Loss = 0.018297385424375534, lr = [6.25e-06] +[2024-05-17 12:10:08,132] - INFO: Epoch 3007/9999, Iter 150320: Loss = 0.013257859274744987, lr = [6.25e-06] +[2024-05-17 12:10:26,268] - INFO: Epoch 3007/9999, Iter 150340: Loss = 0.011689023114740849, lr = [6.25e-06] +[2024-05-17 12:10:45,583] - INFO: Epoch 3008/9999, Iter 150360: Loss = 0.014655382372438908, lr = [6.25e-06] +[2024-05-17 12:11:03,604] - INFO: Epoch 3008/9999, Iter 150380: Loss = 0.012824546545743942, lr = [6.25e-06] +[2024-05-17 12:11:22,974] - INFO: Epoch 3009/9999, Iter 150400: Loss = 0.01621740125119686, lr = [6.25e-06] +[2024-05-17 12:11:41,601] - INFO: Epoch 3009/9999, Iter 150420: Loss = 0.012952500022947788, lr = [6.25e-06] +[2024-05-17 12:11:59,395] - INFO: Epoch 3009/9999, Iter 150440: Loss = 0.016934964805841446, lr = [6.25e-06] +[2024-05-17 12:12:17,388] - INFO: Epoch 3010/9999, Iter 150460: Loss = 0.008146124891936779, lr = [6.25e-06] +[2024-05-17 12:12:35,098] - INFO: Epoch 3010/9999, Iter 150480: Loss = 0.015724968165159225, lr = [6.25e-06] +[2024-05-17 12:12:51,780] - INFO: Evaluate at epoch 3010! +[2024-05-17 12:12:55,347] - INFO: Eval PSNR (max): 38.010 (2985) SSIM (max): 0.9609 (2560) +[2024-05-17 12:12:55,347] - INFO: Eval PSNR (current): 37.994 (3010) SSIM (current): 0.9608 (3010) +[2024-05-17 12:12:55,347] - INFO: Evaluation over. +[2024-05-17 12:13:01,480] - INFO: Epoch 3011/9999, Iter 150500: Loss = 0.012128527276217937, lr = [6.25e-06] +[2024-05-17 12:13:19,608] - INFO: Epoch 3011/9999, Iter 150520: Loss = 0.015259436331689358, lr = [6.25e-06] +[2024-05-17 12:13:37,517] - INFO: Epoch 3011/9999, Iter 150540: Loss = 0.014278105460107327, lr = [6.25e-06] +[2024-05-17 12:13:56,309] - INFO: Epoch 3012/9999, Iter 150560: Loss = 0.01407200749963522, lr = [6.25e-06] +[2024-05-17 12:14:14,144] - INFO: Epoch 3012/9999, Iter 150580: Loss = 0.012498855590820312, lr = [6.25e-06] +[2024-05-17 12:14:33,300] - INFO: Epoch 3013/9999, Iter 150600: Loss = 0.011926602572202682, lr = [6.25e-06] +[2024-05-17 12:14:50,211] - INFO: Epoch 3013/9999, Iter 150620: Loss = 0.01939401403069496, lr = [6.25e-06] +[2024-05-17 12:15:08,010] - INFO: Epoch 3013/9999, Iter 150640: Loss = 0.008302840404212475, lr = [6.25e-06] +[2024-05-17 12:15:27,271] - INFO: Epoch 3014/9999, Iter 150660: Loss = 0.013573725707828999, lr = [6.25e-06] +[2024-05-17 12:15:44,532] - INFO: Epoch 3014/9999, Iter 150680: Loss = 0.010065177455544472, lr = [6.25e-06] +[2024-05-17 12:16:03,526] - INFO: Epoch 3015/9999, Iter 150700: Loss = 0.009541408158838749, lr = [6.25e-06] +[2024-05-17 12:16:21,166] - INFO: Epoch 3015/9999, Iter 150720: Loss = 0.013655528426170349, lr = [6.25e-06] +[2024-05-17 12:16:38,283] - INFO: Epoch 3015/9999, Iter 150740: Loss = 0.013950644060969353, lr = [6.25e-06] +[2024-05-17 12:16:46,156] - INFO: Evaluate at epoch 3015! +[2024-05-17 12:16:49,708] - INFO: Eval PSNR (max): 38.010 (2985) SSIM (max): 0.9609 (2560) +[2024-05-17 12:16:49,708] - INFO: Eval PSNR (current): 37.991 (3015) SSIM (current): 0.9608 (3015) +[2024-05-17 12:16:49,709] - INFO: Evaluation over. +[2024-05-17 12:17:04,856] - INFO: Epoch 3016/9999, Iter 150760: Loss = 0.011538184247910976, lr = [6.25e-06] +[2024-05-17 12:17:22,568] - INFO: Epoch 3016/9999, Iter 150780: Loss = 0.01408159825950861, lr = [6.25e-06] +[2024-05-17 12:17:41,628] - INFO: Epoch 3017/9999, Iter 150800: Loss = 0.009840799495577812, lr = [6.25e-06] +[2024-05-17 12:17:59,493] - INFO: Epoch 3017/9999, Iter 150820: Loss = 0.017021169885993004, lr = [6.25e-06] +[2024-05-17 12:18:17,544] - INFO: Epoch 3017/9999, Iter 150840: Loss = 0.01694484055042267, lr = [6.25e-06] +[2024-05-17 12:18:36,094] - INFO: Epoch 3018/9999, Iter 150860: Loss = 0.0209998469799757, lr = [6.25e-06] +[2024-05-17 12:18:54,332] - INFO: Epoch 3018/9999, Iter 150880: Loss = 0.013047648593783379, lr = [6.25e-06] +[2024-05-17 12:19:13,661] - INFO: Epoch 3019/9999, Iter 150900: Loss = 0.016631780192255974, lr = [6.25e-06] +[2024-05-17 12:19:31,610] - INFO: Epoch 3019/9999, Iter 150920: Loss = 0.006223818752914667, lr = [6.25e-06] +[2024-05-17 12:19:49,884] - INFO: Epoch 3019/9999, Iter 150940: Loss = 0.00924580916762352, lr = [6.25e-06] +[2024-05-17 12:20:08,544] - INFO: Epoch 3020/9999, Iter 150960: Loss = 0.0081757428124547, lr = [6.25e-06] +[2024-05-17 12:20:26,846] - INFO: Epoch 3020/9999, Iter 150980: Loss = 0.012590497732162476, lr = [6.25e-06] +[2024-05-17 12:20:43,256] - INFO: Evaluate at epoch 3020! +[2024-05-17 12:20:47,051] - INFO: Eval PSNR (max): 38.010 (2985) SSIM (max): 0.9609 (2560) +[2024-05-17 12:20:47,051] - INFO: Eval PSNR (current): 37.993 (3020) SSIM (current): 0.9608 (3020) +[2024-05-17 12:20:47,051] - INFO: Evaluation over. +[2024-05-17 12:20:52,989] - INFO: Epoch 3021/9999, Iter 151000: Loss = 0.014380274340510368, lr = [6.25e-06] +[2024-05-17 12:21:10,467] - INFO: Epoch 3021/9999, Iter 151020: Loss = 0.012543318793177605, lr = [6.25e-06] +[2024-05-17 12:21:27,680] - INFO: Epoch 3021/9999, Iter 151040: Loss = 0.014993519522249699, lr = [6.25e-06] +[2024-05-17 12:21:46,772] - INFO: Epoch 3022/9999, Iter 151060: Loss = 0.017065254971385002, lr = [6.25e-06] +[2024-05-17 12:22:05,171] - INFO: Epoch 3022/9999, Iter 151080: Loss = 0.011754398234188557, lr = [6.25e-06] +[2024-05-17 12:22:24,124] - INFO: Epoch 3023/9999, Iter 151100: Loss = 0.011799896135926247, lr = [6.25e-06] +[2024-05-17 12:22:41,724] - INFO: Epoch 3023/9999, Iter 151120: Loss = 0.009241455234587193, lr = [6.25e-06] +[2024-05-17 12:22:59,125] - INFO: Epoch 3023/9999, Iter 151140: Loss = 0.0098804272711277, lr = [6.25e-06] +[2024-05-17 12:23:18,175] - INFO: Epoch 3024/9999, Iter 151160: Loss = 0.008323526941239834, lr = [6.25e-06] +[2024-05-17 12:23:35,416] - INFO: Epoch 3024/9999, Iter 151180: Loss = 0.007556373719125986, lr = [6.25e-06] +[2024-05-17 12:23:54,656] - INFO: Epoch 3025/9999, Iter 151200: Loss = 0.013177989050745964, lr = [6.25e-06] +[2024-05-17 12:24:13,050] - INFO: Epoch 3025/9999, Iter 151220: Loss = 0.01595158688724041, lr = [6.25e-06] +[2024-05-17 12:24:30,779] - INFO: Epoch 3025/9999, Iter 151240: Loss = 0.019514618441462517, lr = [6.25e-06] +[2024-05-17 12:24:38,309] - INFO: Evaluate at epoch 3025! +[2024-05-17 12:24:41,879] - INFO: Eval PSNR (max): 38.010 (2985) SSIM (max): 0.9609 (2560) +[2024-05-17 12:24:41,879] - INFO: Eval PSNR (current): 37.992 (3025) SSIM (current): 0.9608 (3025) +[2024-05-17 12:24:41,879] - INFO: Evaluation over. +[2024-05-17 12:24:56,520] - INFO: Epoch 3026/9999, Iter 151260: Loss = 0.013084220699965954, lr = [6.25e-06] +[2024-05-17 12:25:14,260] - INFO: Epoch 3026/9999, Iter 151280: Loss = 0.012184130027890205, lr = [6.25e-06] +[2024-05-17 12:25:33,193] - INFO: Epoch 3027/9999, Iter 151300: Loss = 0.022170063108205795, lr = [6.25e-06] +[2024-05-17 12:25:51,157] - INFO: Epoch 3027/9999, Iter 151320: Loss = 0.009856253862380981, lr = [6.25e-06] +[2024-05-17 12:26:08,432] - INFO: Epoch 3027/9999, Iter 151340: Loss = 0.01583179458975792, lr = [6.25e-06] +[2024-05-17 12:26:26,894] - INFO: Epoch 3028/9999, Iter 151360: Loss = 0.015442040748894215, lr = [6.25e-06] +[2024-05-17 12:26:44,224] - INFO: Epoch 3028/9999, Iter 151380: Loss = 0.01747368834912777, lr = [6.25e-06] +[2024-05-17 12:27:03,948] - INFO: Epoch 3029/9999, Iter 151400: Loss = 0.014066612347960472, lr = [6.25e-06] +[2024-05-17 12:27:21,842] - INFO: Epoch 3029/9999, Iter 151420: Loss = 0.010896151885390282, lr = [6.25e-06] +[2024-05-17 12:27:39,327] - INFO: Epoch 3029/9999, Iter 151440: Loss = 0.009275531396269798, lr = [6.25e-06] +[2024-05-17 12:27:58,212] - INFO: Epoch 3030/9999, Iter 151460: Loss = 0.011418391019105911, lr = [6.25e-06] +[2024-05-17 12:28:15,603] - INFO: Epoch 3030/9999, Iter 151480: Loss = 0.012274358421564102, lr = [6.25e-06] +[2024-05-17 12:28:32,175] - INFO: Evaluate at epoch 3030! +[2024-05-17 12:28:35,741] - INFO: Eval PSNR (max): 38.010 (2985) SSIM (max): 0.9609 (2560) +[2024-05-17 12:28:35,742] - INFO: Eval PSNR (current): 37.991 (3030) SSIM (current): 0.9608 (3030) +[2024-05-17 12:28:35,742] - INFO: Evaluation over. +[2024-05-17 12:28:42,104] - INFO: Epoch 3031/9999, Iter 151500: Loss = 0.014088235795497894, lr = [6.25e-06] +[2024-05-17 12:28:59,100] - INFO: Epoch 3031/9999, Iter 151520: Loss = 0.009793027304112911, lr = [6.25e-06] +[2024-05-17 12:29:16,335] - INFO: Epoch 3031/9999, Iter 151540: Loss = 0.015173193998634815, lr = [6.25e-06] +[2024-05-17 12:29:35,586] - INFO: Epoch 3032/9999, Iter 151560: Loss = 0.009290939196944237, lr = [6.25e-06] +[2024-05-17 12:29:54,092] - INFO: Epoch 3032/9999, Iter 151580: Loss = 0.01519396249204874, lr = [6.25e-06] +[2024-05-17 12:30:13,157] - INFO: Epoch 3033/9999, Iter 151600: Loss = 0.017002800479531288, lr = [6.25e-06] +[2024-05-17 12:30:31,391] - INFO: Epoch 3033/9999, Iter 151620: Loss = 0.015724660828709602, lr = [6.25e-06] +[2024-05-17 12:30:49,399] - INFO: Epoch 3033/9999, Iter 151640: Loss = 0.017573976889252663, lr = [6.25e-06] +[2024-05-17 12:31:08,339] - INFO: Epoch 3034/9999, Iter 151660: Loss = 0.01615234650671482, lr = [6.25e-06] +[2024-05-17 12:31:26,721] - INFO: Epoch 3034/9999, Iter 151680: Loss = 0.011896258220076561, lr = [6.25e-06] +[2024-05-17 12:31:45,960] - INFO: Epoch 3035/9999, Iter 151700: Loss = 0.008665005676448345, lr = [6.25e-06] +[2024-05-17 12:32:03,164] - INFO: Epoch 3035/9999, Iter 151720: Loss = 0.01701417565345764, lr = [6.25e-06] +[2024-05-17 12:32:21,189] - INFO: Epoch 3035/9999, Iter 151740: Loss = 0.00968149397522211, lr = [6.25e-06] +[2024-05-17 12:32:29,371] - INFO: Evaluate at epoch 3035! +[2024-05-17 12:32:33,027] - INFO: Eval PSNR (max): 38.010 (2985) SSIM (max): 0.9609 (2560) +[2024-05-17 12:32:33,027] - INFO: Eval PSNR (current): 37.994 (3035) SSIM (current): 0.9608 (3035) +[2024-05-17 12:32:33,027] - INFO: Evaluation over. +[2024-05-17 12:32:48,344] - INFO: Epoch 3036/9999, Iter 151760: Loss = 0.012327698059380054, lr = [6.25e-06] +[2024-05-17 12:33:06,252] - INFO: Epoch 3036/9999, Iter 151780: Loss = 0.01382617186754942, lr = [6.25e-06] +[2024-05-17 12:33:25,180] - INFO: Epoch 3037/9999, Iter 151800: Loss = 0.010967857204377651, lr = [6.25e-06] +[2024-05-17 12:33:42,820] - INFO: Epoch 3037/9999, Iter 151820: Loss = 0.016104385256767273, lr = [6.25e-06] +[2024-05-17 12:34:00,488] - INFO: Epoch 3037/9999, Iter 151840: Loss = 0.015247367322444916, lr = [6.25e-06] +[2024-05-17 12:34:19,812] - INFO: Epoch 3038/9999, Iter 151860: Loss = 0.017043152824044228, lr = [6.25e-06] +[2024-05-17 12:34:37,922] - INFO: Epoch 3038/9999, Iter 151880: Loss = 0.012234760448336601, lr = [6.25e-06] +[2024-05-17 12:34:56,610] - INFO: Epoch 3039/9999, Iter 151900: Loss = 0.010798352770507336, lr = [6.25e-06] +[2024-05-17 12:35:13,312] - INFO: Epoch 3039/9999, Iter 151920: Loss = 0.01167097594588995, lr = [6.25e-06] +[2024-05-17 12:35:30,642] - INFO: Epoch 3039/9999, Iter 151940: Loss = 0.014062554575502872, lr = [6.25e-06] +[2024-05-17 12:35:49,470] - INFO: Epoch 3040/9999, Iter 151960: Loss = 0.012759131379425526, lr = [6.25e-06] +[2024-05-17 12:36:06,894] - INFO: Epoch 3040/9999, Iter 151980: Loss = 0.01192601677030325, lr = [6.25e-06] +[2024-05-17 12:36:23,897] - INFO: Evaluate at epoch 3040! +[2024-05-17 12:36:27,488] - INFO: Eval PSNR (max): 38.010 (2985) SSIM (max): 0.9609 (2560) +[2024-05-17 12:36:27,489] - INFO: Eval PSNR (current): 37.992 (3040) SSIM (current): 0.9608 (3040) +[2024-05-17 12:36:27,489] - INFO: Evaluation over. +[2024-05-17 12:36:33,542] - INFO: Epoch 3041/9999, Iter 152000: Loss = 0.014977197162806988, lr = [6.25e-06] +[2024-05-17 12:36:50,714] - INFO: Epoch 3041/9999, Iter 152020: Loss = 0.01238368172198534, lr = [6.25e-06] +[2024-05-17 12:37:07,735] - INFO: Epoch 3041/9999, Iter 152040: Loss = 0.015905836597085, lr = [6.25e-06] +[2024-05-17 12:37:27,468] - INFO: Epoch 3042/9999, Iter 152060: Loss = 0.014398248866200447, lr = [6.25e-06] +[2024-05-17 12:37:45,604] - INFO: Epoch 3042/9999, Iter 152080: Loss = 0.012177122756838799, lr = [6.25e-06] +[2024-05-17 12:38:04,400] - INFO: Epoch 3043/9999, Iter 152100: Loss = 0.015252123586833477, lr = [6.25e-06] +[2024-05-17 12:38:22,474] - INFO: Epoch 3043/9999, Iter 152120: Loss = 0.008971326984465122, lr = [6.25e-06] +[2024-05-17 12:38:40,665] - INFO: Epoch 3043/9999, Iter 152140: Loss = 0.01754806749522686, lr = [6.25e-06] +[2024-05-17 12:38:59,532] - INFO: Epoch 3044/9999, Iter 152160: Loss = 0.013126371428370476, lr = [6.25e-06] +[2024-05-17 12:39:17,688] - INFO: Epoch 3044/9999, Iter 152180: Loss = 0.01934579759836197, lr = [6.25e-06] +[2024-05-17 12:39:36,682] - INFO: Epoch 3045/9999, Iter 152200: Loss = 0.011806430295109749, lr = [6.25e-06] +[2024-05-17 12:39:54,217] - INFO: Epoch 3045/9999, Iter 152220: Loss = 0.011007090099155903, lr = [6.25e-06] +[2024-05-17 12:40:12,032] - INFO: Epoch 3045/9999, Iter 152240: Loss = 0.01290308777242899, lr = [6.25e-06] +[2024-05-17 12:40:19,867] - INFO: Evaluate at epoch 3045! +[2024-05-17 12:40:23,401] - INFO: Eval PSNR (max): 38.010 (2985) SSIM (max): 0.9609 (2560) +[2024-05-17 12:40:23,401] - INFO: Eval PSNR (current): 37.990 (3045) SSIM (current): 0.9608 (3045) +[2024-05-17 12:40:23,402] - INFO: Evaluation over. +[2024-05-17 12:40:38,780] - INFO: Epoch 3046/9999, Iter 152260: Loss = 0.014305299147963524, lr = [6.25e-06] +[2024-05-17 12:40:56,903] - INFO: Epoch 3046/9999, Iter 152280: Loss = 0.00911260861903429, lr = [6.25e-06] +[2024-05-17 12:41:16,123] - INFO: Epoch 3047/9999, Iter 152300: Loss = 0.010952336713671684, lr = [6.25e-06] +[2024-05-17 12:41:34,528] - INFO: Epoch 3047/9999, Iter 152320: Loss = 0.007921540178358555, lr = [6.25e-06] +[2024-05-17 12:41:52,318] - INFO: Epoch 3047/9999, Iter 152340: Loss = 0.01034635491669178, lr = [6.25e-06] +[2024-05-17 12:42:12,414] - INFO: Epoch 3048/9999, Iter 152360: Loss = 0.010884718038141727, lr = [6.25e-06] +[2024-05-17 12:42:30,803] - INFO: Epoch 3048/9999, Iter 152380: Loss = 0.009286449290812016, lr = [6.25e-06] +[2024-05-17 12:42:49,847] - INFO: Epoch 3049/9999, Iter 152400: Loss = 0.011866039596498013, lr = [6.25e-06] +[2024-05-17 12:43:08,131] - INFO: Epoch 3049/9999, Iter 152420: Loss = 0.012484162114560604, lr = [6.25e-06] +[2024-05-17 12:43:27,542] - INFO: Epoch 3049/9999, Iter 152440: Loss = 0.013107646256685257, lr = [6.25e-06] +[2024-05-17 12:43:46,412] - INFO: Epoch 3050/9999, Iter 152460: Loss = 0.012632226571440697, lr = [6.25e-06] +[2024-05-17 12:44:04,775] - INFO: Epoch 3050/9999, Iter 152480: Loss = 0.012749534100294113, lr = [6.25e-06] +[2024-05-17 12:44:22,699] - INFO: Evaluate at epoch 3050! +[2024-05-17 12:44:26,368] - INFO: Eval PSNR (max): 38.010 (2985) SSIM (max): 0.9609 (2560) +[2024-05-17 12:44:26,369] - INFO: Eval PSNR (current): 38.002 (3050) SSIM (current): 0.9608 (3050) +[2024-05-17 12:44:26,369] - INFO: Evaluation over. +[2024-05-17 12:44:32,344] - INFO: Epoch 3051/9999, Iter 152500: Loss = 0.009642784483730793, lr = [6.25e-06] +[2024-05-17 12:44:50,020] - INFO: Epoch 3051/9999, Iter 152520: Loss = 0.009947996586561203, lr = [6.25e-06] +[2024-05-17 12:45:08,592] - INFO: Epoch 3051/9999, Iter 152540: Loss = 0.015818677842617035, lr = [6.25e-06] +[2024-05-17 12:45:26,948] - INFO: Epoch 3052/9999, Iter 152560: Loss = 0.01592131331562996, lr = [6.25e-06] +[2024-05-17 12:45:44,448] - INFO: Epoch 3052/9999, Iter 152580: Loss = 0.009980058297514915, lr = [6.25e-06] +[2024-05-17 12:46:03,339] - INFO: Epoch 3053/9999, Iter 152600: Loss = 0.014442172832787037, lr = [6.25e-06] +[2024-05-17 12:46:21,163] - INFO: Epoch 3053/9999, Iter 152620: Loss = 0.018292341381311417, lr = [6.25e-06] +[2024-05-17 12:46:38,780] - INFO: Epoch 3053/9999, Iter 152640: Loss = 0.020440246909856796, lr = [6.25e-06] +[2024-05-17 12:46:58,268] - INFO: Epoch 3054/9999, Iter 152660: Loss = 0.014025282114744186, lr = [6.25e-06] +[2024-05-17 12:47:15,345] - INFO: Epoch 3054/9999, Iter 152680: Loss = 0.01546406839042902, lr = [6.25e-06] +[2024-05-17 12:47:34,633] - INFO: Epoch 3055/9999, Iter 152700: Loss = 0.013824030756950378, lr = [6.25e-06] +[2024-05-17 12:47:51,322] - INFO: Epoch 3055/9999, Iter 152720: Loss = 0.009207482449710369, lr = [6.25e-06] +[2024-05-17 12:48:09,128] - INFO: Epoch 3055/9999, Iter 152740: Loss = 0.012832955457270145, lr = [6.25e-06] +[2024-05-17 12:48:17,232] - INFO: Evaluate at epoch 3055! +[2024-05-17 12:48:20,890] - INFO: Eval PSNR (max): 38.010 (2985) SSIM (max): 0.9609 (2560) +[2024-05-17 12:48:20,890] - INFO: Eval PSNR (current): 37.991 (3055) SSIM (current): 0.9608 (3055) +[2024-05-17 12:48:20,890] - INFO: Evaluation over. +[2024-05-17 12:48:35,341] - INFO: Epoch 3056/9999, Iter 152760: Loss = 0.01259336993098259, lr = [6.25e-06] +[2024-05-17 12:48:53,501] - INFO: Epoch 3056/9999, Iter 152780: Loss = 0.00750203151255846, lr = [6.25e-06] +[2024-05-17 12:49:13,465] - INFO: Epoch 3057/9999, Iter 152800: Loss = 0.015867413952946663, lr = [6.25e-06] +[2024-05-17 12:49:31,030] - INFO: Epoch 3057/9999, Iter 152820: Loss = 0.014656729996204376, lr = [6.25e-06] +[2024-05-17 12:49:48,251] - INFO: Epoch 3057/9999, Iter 152840: Loss = 0.016119083389639854, lr = [6.25e-06] +[2024-05-17 12:50:07,494] - INFO: Epoch 3058/9999, Iter 152860: Loss = 0.012204603292047977, lr = [6.25e-06] +[2024-05-17 12:50:25,500] - INFO: Epoch 3058/9999, Iter 152880: Loss = 0.013996315188705921, lr = [6.25e-06] +[2024-05-17 12:50:44,352] - INFO: Epoch 3059/9999, Iter 152900: Loss = 0.013075298629701138, lr = [6.25e-06] +[2024-05-17 12:51:01,903] - INFO: Epoch 3059/9999, Iter 152920: Loss = 0.01353551261126995, lr = [6.25e-06] +[2024-05-17 12:51:19,959] - INFO: Epoch 3059/9999, Iter 152940: Loss = 0.009330565109848976, lr = [6.25e-06] +[2024-05-17 12:51:39,804] - INFO: Epoch 3060/9999, Iter 152960: Loss = 0.015122908167541027, lr = [6.25e-06] +[2024-05-17 12:51:57,807] - INFO: Epoch 3060/9999, Iter 152980: Loss = 0.012006943114101887, lr = [6.25e-06] +[2024-05-17 12:52:14,403] - INFO: Evaluate at epoch 3060! +[2024-05-17 12:52:18,023] - INFO: Eval PSNR (max): 38.010 (2985) SSIM (max): 0.9609 (2560) +[2024-05-17 12:52:18,023] - INFO: Eval PSNR (current): 37.998 (3060) SSIM (current): 0.9608 (3060) +[2024-05-17 12:52:18,023] - INFO: Evaluation over. +[2024-05-17 12:52:24,196] - INFO: Epoch 3061/9999, Iter 153000: Loss = 0.017303764820098877, lr = [6.25e-06] +[2024-05-17 12:52:42,098] - INFO: Epoch 3061/9999, Iter 153020: Loss = 0.013954071328043938, lr = [6.25e-06] +[2024-05-17 12:52:59,840] - INFO: Epoch 3061/9999, Iter 153040: Loss = 0.013086465187370777, lr = [6.25e-06] +[2024-05-17 12:53:18,336] - INFO: Epoch 3062/9999, Iter 153060: Loss = 0.006867277901619673, lr = [6.25e-06] +[2024-05-17 12:53:35,948] - INFO: Epoch 3062/9999, Iter 153080: Loss = 0.010945284739136696, lr = [6.25e-06] +[2024-05-17 12:53:55,051] - INFO: Epoch 3063/9999, Iter 153100: Loss = 0.010901262052357197, lr = [6.25e-06] +[2024-05-17 12:54:12,126] - INFO: Epoch 3063/9999, Iter 153120: Loss = 0.017606891691684723, lr = [6.25e-06] +[2024-05-17 12:54:30,790] - INFO: Epoch 3063/9999, Iter 153140: Loss = 0.015593770891427994, lr = [6.25e-06] +[2024-05-17 12:54:50,087] - INFO: Epoch 3064/9999, Iter 153160: Loss = 0.010805118829011917, lr = [6.25e-06] +[2024-05-17 12:55:08,532] - INFO: Epoch 3064/9999, Iter 153180: Loss = 0.012541340664029121, lr = [6.25e-06] +[2024-05-17 12:55:27,796] - INFO: Epoch 3065/9999, Iter 153200: Loss = 0.006032278295606375, lr = [6.25e-06] +[2024-05-17 12:55:45,488] - INFO: Epoch 3065/9999, Iter 153220: Loss = 0.013021564111113548, lr = [6.25e-06] +[2024-05-17 12:56:02,616] - INFO: Epoch 3065/9999, Iter 153240: Loss = 0.017088813707232475, lr = [6.25e-06] +[2024-05-17 12:56:10,377] - INFO: Evaluate at epoch 3065! +[2024-05-17 12:56:13,872] - INFO: Eval PSNR (max): 38.010 (2985) SSIM (max): 0.9609 (2560) +[2024-05-17 12:56:13,872] - INFO: Eval PSNR (current): 38.000 (3065) SSIM (current): 0.9608 (3065) +[2024-05-17 12:56:13,872] - INFO: Evaluation over. +[2024-05-17 12:56:29,586] - INFO: Epoch 3066/9999, Iter 153260: Loss = 0.013477325439453125, lr = [6.25e-06] +[2024-05-17 12:56:47,665] - INFO: Epoch 3066/9999, Iter 153280: Loss = 0.016623293980956078, lr = [6.25e-06] +[2024-05-17 12:57:06,487] - INFO: Epoch 3067/9999, Iter 153300: Loss = 0.008866559714078903, lr = [6.25e-06] +[2024-05-17 12:57:23,656] - INFO: Epoch 3067/9999, Iter 153320: Loss = 0.0159820057451725, lr = [6.25e-06] +[2024-05-17 12:57:41,653] - INFO: Epoch 3067/9999, Iter 153340: Loss = 0.010578911751508713, lr = [6.25e-06] +[2024-05-17 12:58:01,244] - INFO: Epoch 3068/9999, Iter 153360: Loss = 0.014313667081296444, lr = [6.25e-06] +[2024-05-17 12:58:19,680] - INFO: Epoch 3068/9999, Iter 153380: Loss = 0.014966189861297607, lr = [6.25e-06] +[2024-05-17 12:58:38,929] - INFO: Epoch 3069/9999, Iter 153400: Loss = 0.018842734396457672, lr = [6.25e-06] +[2024-05-17 12:58:55,924] - INFO: Epoch 3069/9999, Iter 153420: Loss = 0.014529919251799583, lr = [6.25e-06] +[2024-05-17 12:59:13,524] - INFO: Epoch 3069/9999, Iter 153440: Loss = 0.010015659965574741, lr = [6.25e-06] +[2024-05-17 12:59:33,309] - INFO: Epoch 3070/9999, Iter 153460: Loss = 0.01448165625333786, lr = [6.25e-06] +[2024-05-17 12:59:51,504] - INFO: Epoch 3070/9999, Iter 153480: Loss = 0.009880607016384602, lr = [6.25e-06] +[2024-05-17 13:00:07,972] - INFO: Evaluate at epoch 3070! +[2024-05-17 13:00:11,500] - INFO: Eval PSNR (max): 38.010 (2985) SSIM (max): 0.9609 (2560) +[2024-05-17 13:00:11,501] - INFO: Eval PSNR (current): 37.994 (3070) SSIM (current): 0.9608 (3070) +[2024-05-17 13:00:11,501] - INFO: Evaluation over. +[2024-05-17 13:00:17,604] - INFO: Epoch 3071/9999, Iter 153500: Loss = 0.019540676847100258, lr = [6.25e-06] +[2024-05-17 13:00:34,972] - INFO: Epoch 3071/9999, Iter 153520: Loss = 0.011320613324642181, lr = [6.25e-06] +[2024-05-17 13:00:53,204] - INFO: Epoch 3071/9999, Iter 153540: Loss = 0.01373909693211317, lr = [6.25e-06] +[2024-05-17 13:01:12,292] - INFO: Epoch 3072/9999, Iter 153560: Loss = 0.011267615482211113, lr = [6.25e-06] +[2024-05-17 13:01:29,965] - INFO: Epoch 3072/9999, Iter 153580: Loss = 0.012793929316103458, lr = [6.25e-06] +[2024-05-17 13:01:49,121] - INFO: Epoch 3073/9999, Iter 153600: Loss = 0.00864455197006464, lr = [6.25e-06] +[2024-05-17 13:02:07,604] - INFO: Epoch 3073/9999, Iter 153620: Loss = 0.015441234223544598, lr = [6.25e-06] +[2024-05-17 13:02:25,979] - INFO: Epoch 3073/9999, Iter 153640: Loss = 0.015214591287076473, lr = [6.25e-06] +[2024-05-17 13:02:45,287] - INFO: Epoch 3074/9999, Iter 153660: Loss = 0.013786258175969124, lr = [6.25e-06] +[2024-05-17 13:03:03,367] - INFO: Epoch 3074/9999, Iter 153680: Loss = 0.012551444582641125, lr = [6.25e-06] +[2024-05-17 13:03:22,705] - INFO: Epoch 3075/9999, Iter 153700: Loss = 0.015847815200686455, lr = [6.25e-06] +[2024-05-17 13:03:41,145] - INFO: Epoch 3075/9999, Iter 153720: Loss = 0.013019758276641369, lr = [6.25e-06] +[2024-05-17 13:03:58,244] - INFO: Epoch 3075/9999, Iter 153740: Loss = 0.013731788843870163, lr = [6.25e-06] +[2024-05-17 13:04:05,945] - INFO: Evaluate at epoch 3075! +[2024-05-17 13:04:09,730] - INFO: Eval PSNR (max): 38.010 (2985) SSIM (max): 0.9609 (2560) +[2024-05-17 13:04:09,730] - INFO: Eval PSNR (current): 38.001 (3075) SSIM (current): 0.9608 (3075) +[2024-05-17 13:04:09,731] - INFO: Evaluation over. +[2024-05-17 13:04:24,770] - INFO: Epoch 3076/9999, Iter 153760: Loss = 0.01340810488909483, lr = [6.25e-06] +[2024-05-17 13:04:42,948] - INFO: Epoch 3076/9999, Iter 153780: Loss = 0.014109162613749504, lr = [6.25e-06] +[2024-05-17 13:05:02,297] - INFO: Epoch 3077/9999, Iter 153800: Loss = 0.01375952921807766, lr = [6.25e-06] +[2024-05-17 13:05:19,791] - INFO: Epoch 3077/9999, Iter 153820: Loss = 0.008571991696953773, lr = [6.25e-06] +[2024-05-17 13:05:37,965] - INFO: Epoch 3077/9999, Iter 153840: Loss = 0.008482729084789753, lr = [6.25e-06] +[2024-05-17 13:05:57,243] - INFO: Epoch 3078/9999, Iter 153860: Loss = 0.014268600381910801, lr = [6.25e-06] +[2024-05-17 13:06:14,696] - INFO: Epoch 3078/9999, Iter 153880: Loss = 0.018866468220949173, lr = [6.25e-06] +[2024-05-17 13:06:33,548] - INFO: Epoch 3079/9999, Iter 153900: Loss = 0.015779659152030945, lr = [6.25e-06] +[2024-05-17 13:06:51,714] - INFO: Epoch 3079/9999, Iter 153920: Loss = 0.015677236020565033, lr = [6.25e-06] +[2024-05-17 13:07:10,068] - INFO: Epoch 3079/9999, Iter 153940: Loss = 0.01194011326879263, lr = [6.25e-06] +[2024-05-17 13:07:28,663] - INFO: Epoch 3080/9999, Iter 153960: Loss = 0.011322293430566788, lr = [6.25e-06] +[2024-05-17 13:07:46,404] - INFO: Epoch 3080/9999, Iter 153980: Loss = 0.013288618065416813, lr = [6.25e-06] +[2024-05-17 13:08:03,362] - INFO: Evaluate at epoch 3080! +[2024-05-17 13:08:07,112] - INFO: Eval PSNR (max): 38.010 (2985) SSIM (max): 0.9609 (2560) +[2024-05-17 13:08:07,113] - INFO: Eval PSNR (current): 37.992 (3080) SSIM (current): 0.9608 (3080) +[2024-05-17 13:08:07,113] - INFO: Evaluation over. +[2024-05-17 13:08:13,032] - INFO: Epoch 3081/9999, Iter 154000: Loss = 0.015463191084563732, lr = [6.25e-06] +[2024-05-17 13:08:30,223] - INFO: Epoch 3081/9999, Iter 154020: Loss = 0.009810928255319595, lr = [6.25e-06] +[2024-05-17 13:08:47,814] - INFO: Epoch 3081/9999, Iter 154040: Loss = 0.01614329405128956, lr = [6.25e-06] +[2024-05-17 13:09:07,830] - INFO: Epoch 3082/9999, Iter 154060: Loss = 0.01488463208079338, lr = [6.25e-06] +[2024-05-17 13:09:25,650] - INFO: Epoch 3082/9999, Iter 154080: Loss = 0.013817529194056988, lr = [6.25e-06] +[2024-05-17 13:09:44,676] - INFO: Epoch 3083/9999, Iter 154100: Loss = 0.01836116425693035, lr = [6.25e-06] +[2024-05-17 13:10:02,132] - INFO: Epoch 3083/9999, Iter 154120: Loss = 0.013810168951749802, lr = [6.25e-06] +[2024-05-17 13:10:19,533] - INFO: Epoch 3083/9999, Iter 154140: Loss = 0.013050470501184464, lr = [6.25e-06] +[2024-05-17 13:10:38,832] - INFO: Epoch 3084/9999, Iter 154160: Loss = 0.012556735426187515, lr = [6.25e-06] +[2024-05-17 13:10:56,484] - INFO: Epoch 3084/9999, Iter 154180: Loss = 0.007661574520170689, lr = [6.25e-06] +[2024-05-17 13:11:16,198] - INFO: Epoch 3085/9999, Iter 154200: Loss = 0.013974681496620178, lr = [6.25e-06] +[2024-05-17 13:11:33,957] - INFO: Epoch 3085/9999, Iter 154220: Loss = 0.015318660996854305, lr = [6.25e-06] +[2024-05-17 13:11:51,976] - INFO: Epoch 3085/9999, Iter 154240: Loss = 0.014234811998903751, lr = [6.25e-06] +[2024-05-17 13:11:59,846] - INFO: Evaluate at epoch 3085! +[2024-05-17 13:12:03,533] - INFO: Eval PSNR (max): 38.010 (2985) SSIM (max): 0.9609 (2560) +[2024-05-17 13:12:03,534] - INFO: Eval PSNR (current): 38.004 (3085) SSIM (current): 0.9608 (3085) +[2024-05-17 13:12:03,534] - INFO: Evaluation over. +[2024-05-17 13:12:18,113] - INFO: Epoch 3086/9999, Iter 154260: Loss = 0.010340933687984943, lr = [6.25e-06] +[2024-05-17 13:12:36,552] - INFO: Epoch 3086/9999, Iter 154280: Loss = 0.010164677165448666, lr = [6.25e-06] +[2024-05-17 13:12:55,965] - INFO: Epoch 3087/9999, Iter 154300: Loss = 0.01503346674144268, lr = [6.25e-06] +[2024-05-17 13:13:14,291] - INFO: Epoch 3087/9999, Iter 154320: Loss = 0.016015779227018356, lr = [6.25e-06] +[2024-05-17 13:13:32,342] - INFO: Epoch 3087/9999, Iter 154340: Loss = 0.011602289043366909, lr = [6.25e-06] +[2024-05-17 13:13:50,589] - INFO: Epoch 3088/9999, Iter 154360: Loss = 0.015039373189210892, lr = [6.25e-06] +[2024-05-17 13:14:08,272] - INFO: Epoch 3088/9999, Iter 154380: Loss = 0.014336854219436646, lr = [6.25e-06] +[2024-05-17 13:14:27,568] - INFO: Epoch 3089/9999, Iter 154400: Loss = 0.009155823849141598, lr = [6.25e-06] +[2024-05-17 13:14:45,872] - INFO: Epoch 3089/9999, Iter 154420: Loss = 0.012068227864801884, lr = [6.25e-06] +[2024-05-17 13:15:04,002] - INFO: Epoch 3089/9999, Iter 154440: Loss = 0.01633254997432232, lr = [6.25e-06] +[2024-05-17 13:15:23,096] - INFO: Epoch 3090/9999, Iter 154460: Loss = 0.016598211601376534, lr = [6.25e-06] +[2024-05-17 13:15:41,159] - INFO: Epoch 3090/9999, Iter 154480: Loss = 0.009819090366363525, lr = [6.25e-06] +[2024-05-17 13:15:57,987] - INFO: Evaluate at epoch 3090! +[2024-05-17 13:16:01,490] - INFO: Eval PSNR (max): 38.010 (2985) SSIM (max): 0.9609 (2560) +[2024-05-17 13:16:01,490] - INFO: Eval PSNR (current): 37.987 (3090) SSIM (current): 0.9608 (3090) +[2024-05-17 13:16:01,490] - INFO: Evaluation over. +[2024-05-17 13:16:07,739] - INFO: Epoch 3091/9999, Iter 154500: Loss = 0.009565329179167747, lr = [6.25e-06] +[2024-05-17 13:16:26,148] - INFO: Epoch 3091/9999, Iter 154520: Loss = 0.012719718739390373, lr = [6.25e-06] +[2024-05-17 13:16:43,403] - INFO: Epoch 3091/9999, Iter 154540: Loss = 0.009993265382945538, lr = [6.25e-06] +[2024-05-17 13:17:02,280] - INFO: Epoch 3092/9999, Iter 154560: Loss = 0.012231484986841679, lr = [6.25e-06] +[2024-05-17 13:17:19,526] - INFO: Epoch 3092/9999, Iter 154580: Loss = 0.011715078726410866, lr = [6.25e-06] +[2024-05-17 13:17:39,382] - INFO: Epoch 3093/9999, Iter 154600: Loss = 0.016691191121935844, lr = [6.25e-06] +[2024-05-17 13:17:58,008] - INFO: Epoch 3093/9999, Iter 154620: Loss = 0.012216436676681042, lr = [6.25e-06] +[2024-05-17 13:18:16,131] - INFO: Epoch 3093/9999, Iter 154640: Loss = 0.01800830103456974, lr = [6.25e-06] +[2024-05-17 13:18:34,466] - INFO: Epoch 3094/9999, Iter 154660: Loss = 0.014210129156708717, lr = [6.25e-06] +[2024-05-17 13:18:51,940] - INFO: Epoch 3094/9999, Iter 154680: Loss = 0.019349271431565285, lr = [6.25e-06] +[2024-05-17 13:19:11,557] - INFO: Epoch 3095/9999, Iter 154700: Loss = 0.009273605421185493, lr = [6.25e-06] +[2024-05-17 13:19:29,473] - INFO: Epoch 3095/9999, Iter 154720: Loss = 0.011079913936555386, lr = [6.25e-06] +[2024-05-17 13:19:46,651] - INFO: Epoch 3095/9999, Iter 154740: Loss = 0.010627911426126957, lr = [6.25e-06] +[2024-05-17 13:19:54,463] - INFO: Evaluate at epoch 3095! +[2024-05-17 13:19:58,163] - INFO: Eval PSNR (max): 38.010 (2985) SSIM (max): 0.9609 (2560) +[2024-05-17 13:19:58,164] - INFO: Eval PSNR (current): 37.998 (3095) SSIM (current): 0.9608 (3095) +[2024-05-17 13:19:58,164] - INFO: Evaluation over. +[2024-05-17 13:20:13,679] - INFO: Epoch 3096/9999, Iter 154760: Loss = 0.013216011226177216, lr = [6.25e-06] +[2024-05-17 13:20:31,939] - INFO: Epoch 3096/9999, Iter 154780: Loss = 0.013971756212413311, lr = [6.25e-06] +[2024-05-17 13:20:51,004] - INFO: Epoch 3097/9999, Iter 154800: Loss = 0.015187852084636688, lr = [6.25e-06] +[2024-05-17 13:21:09,096] - INFO: Epoch 3097/9999, Iter 154820: Loss = 0.013866265304386616, lr = [6.25e-06] +[2024-05-17 13:21:27,568] - INFO: Epoch 3097/9999, Iter 154840: Loss = 0.010237299837172031, lr = [6.25e-06] +[2024-05-17 13:21:46,068] - INFO: Epoch 3098/9999, Iter 154860: Loss = 0.014033595100045204, lr = [6.25e-06] +[2024-05-17 13:22:03,696] - INFO: Epoch 3098/9999, Iter 154880: Loss = 0.007123115938156843, lr = [6.25e-06] +[2024-05-17 13:22:23,266] - INFO: Epoch 3099/9999, Iter 154900: Loss = 0.011834939010441303, lr = [6.25e-06] +[2024-05-17 13:22:41,144] - INFO: Epoch 3099/9999, Iter 154920: Loss = 0.015568532049655914, lr = [6.25e-06] +[2024-05-17 13:22:58,872] - INFO: Epoch 3099/9999, Iter 154940: Loss = 0.013245845213532448, lr = [6.25e-06] +[2024-05-17 13:23:17,402] - INFO: Epoch 3100/9999, Iter 154960: Loss = 0.006639745552092791, lr = [6.25e-06] +[2024-05-17 13:23:35,025] - INFO: Epoch 3100/9999, Iter 154980: Loss = 0.015332204289734364, lr = [6.25e-06] +[2024-05-17 13:23:51,850] - INFO: Evaluate at epoch 3100! +[2024-05-17 13:23:55,557] - INFO: Eval PSNR (max): 38.010 (2985) SSIM (max): 0.9609 (2560) +[2024-05-17 13:23:55,557] - INFO: Eval PSNR (current): 38.004 (3100) SSIM (current): 0.9608 (3100) +[2024-05-17 13:23:55,557] - INFO: Evaluation over. +[2024-05-17 13:24:01,807] - INFO: Epoch 3101/9999, Iter 155000: Loss = 0.014346066862344742, lr = [6.25e-06] +[2024-05-17 13:24:19,671] - INFO: Epoch 3101/9999, Iter 155020: Loss = 0.016017291694879532, lr = [6.25e-06] +[2024-05-17 13:24:37,616] - INFO: Epoch 3101/9999, Iter 155040: Loss = 0.012255637906491756, lr = [6.25e-06] +[2024-05-17 13:24:56,349] - INFO: Epoch 3102/9999, Iter 155060: Loss = 0.012763533741235733, lr = [6.25e-06] +[2024-05-17 13:25:14,161] - INFO: Epoch 3102/9999, Iter 155080: Loss = 0.015215396881103516, lr = [6.25e-06] +[2024-05-17 13:25:32,872] - INFO: Epoch 3103/9999, Iter 155100: Loss = 0.01655254140496254, lr = [6.25e-06] +[2024-05-17 13:25:50,956] - INFO: Epoch 3103/9999, Iter 155120: Loss = 0.01281759887933731, lr = [6.25e-06] +[2024-05-17 13:26:09,077] - INFO: Epoch 3103/9999, Iter 155140: Loss = 0.013742190785706043, lr = [6.25e-06] +[2024-05-17 13:26:28,608] - INFO: Epoch 3104/9999, Iter 155160: Loss = 0.01604149118065834, lr = [6.25e-06] +[2024-05-17 13:26:46,626] - INFO: Epoch 3104/9999, Iter 155180: Loss = 0.019967662170529366, lr = [6.25e-06] +[2024-05-17 13:27:05,356] - INFO: Epoch 3105/9999, Iter 155200: Loss = 0.01139004435390234, lr = [6.25e-06] +[2024-05-17 13:27:23,184] - INFO: Epoch 3105/9999, Iter 155220: Loss = 0.014804230071604252, lr = [6.25e-06] +[2024-05-17 13:27:40,632] - INFO: Epoch 3105/9999, Iter 155240: Loss = 0.013361291028559208, lr = [6.25e-06] +[2024-05-17 13:27:48,481] - INFO: Evaluate at epoch 3105! +[2024-05-17 13:27:52,173] - INFO: Eval PSNR (max): 38.010 (2985) SSIM (max): 0.9609 (2560) +[2024-05-17 13:27:52,173] - INFO: Eval PSNR (current): 37.999 (3105) SSIM (current): 0.9608 (3105) +[2024-05-17 13:27:52,173] - INFO: Evaluation over. +[2024-05-17 13:28:06,682] - INFO: Epoch 3106/9999, Iter 155260: Loss = 0.009382400661706924, lr = [6.25e-06] +[2024-05-17 13:28:25,000] - INFO: Epoch 3106/9999, Iter 155280: Loss = 0.011905244551599026, lr = [6.25e-06] +[2024-05-17 13:28:44,545] - INFO: Epoch 3107/9999, Iter 155300: Loss = 0.013859163969755173, lr = [6.25e-06] +[2024-05-17 13:29:01,994] - INFO: Epoch 3107/9999, Iter 155320: Loss = 0.01570947840809822, lr = [6.25e-06] +[2024-05-17 13:29:19,923] - INFO: Epoch 3107/9999, Iter 155340: Loss = 0.011381493881344795, lr = [6.25e-06] +[2024-05-17 13:29:38,692] - INFO: Epoch 3108/9999, Iter 155360: Loss = 0.013140813447535038, lr = [6.25e-06] +[2024-05-17 13:29:56,523] - INFO: Epoch 3108/9999, Iter 155380: Loss = 0.010903983376920223, lr = [6.25e-06] +[2024-05-17 13:30:16,716] - INFO: Epoch 3109/9999, Iter 155400: Loss = 0.010781065560877323, lr = [6.25e-06] +[2024-05-17 13:30:35,204] - INFO: Epoch 3109/9999, Iter 155420: Loss = 0.013159109279513359, lr = [6.25e-06] +[2024-05-17 13:30:53,173] - INFO: Epoch 3109/9999, Iter 155440: Loss = 0.01973576471209526, lr = [6.25e-06] +[2024-05-17 13:31:12,379] - INFO: Epoch 3110/9999, Iter 155460: Loss = 0.007127400487661362, lr = [6.25e-06] +[2024-05-17 13:31:30,247] - INFO: Epoch 3110/9999, Iter 155480: Loss = 0.012500525452196598, lr = [6.25e-06] +[2024-05-17 13:31:46,422] - INFO: Evaluate at epoch 3110! +[2024-05-17 13:31:50,006] - INFO: Eval PSNR (max): 38.010 (2985) SSIM (max): 0.9609 (2560) +[2024-05-17 13:31:50,006] - INFO: Eval PSNR (current): 37.999 (3110) SSIM (current): 0.9608 (3110) +[2024-05-17 13:31:50,006] - INFO: Evaluation over. +[2024-05-17 13:31:55,913] - INFO: Epoch 3111/9999, Iter 155500: Loss = 0.009089759550988674, lr = [6.25e-06] +[2024-05-17 13:32:13,087] - INFO: Epoch 3111/9999, Iter 155520: Loss = 0.01462501473724842, lr = [6.25e-06] +[2024-05-17 13:32:30,792] - INFO: Epoch 3111/9999, Iter 155540: Loss = 0.016091909259557724, lr = [6.25e-06] +[2024-05-17 13:32:50,526] - INFO: Epoch 3112/9999, Iter 155560: Loss = 0.011237718164920807, lr = [6.25e-06] +[2024-05-17 13:33:08,789] - INFO: Epoch 3112/9999, Iter 155580: Loss = 0.015125990845263004, lr = [6.25e-06] +[2024-05-17 13:33:27,873] - INFO: Epoch 3113/9999, Iter 155600: Loss = 0.014695294201374054, lr = [6.25e-06] +[2024-05-17 13:33:45,983] - INFO: Epoch 3113/9999, Iter 155620: Loss = 0.01509762927889824, lr = [6.25e-06] +[2024-05-17 13:34:03,393] - INFO: Epoch 3113/9999, Iter 155640: Loss = 0.018139449879527092, lr = [6.25e-06] +[2024-05-17 13:34:23,109] - INFO: Epoch 3114/9999, Iter 155660: Loss = 0.011643375270068645, lr = [6.25e-06] +[2024-05-17 13:34:41,180] - INFO: Epoch 3114/9999, Iter 155680: Loss = 0.022288767620921135, lr = [6.25e-06] +[2024-05-17 13:35:00,431] - INFO: Epoch 3115/9999, Iter 155700: Loss = 0.009860306046903133, lr = [6.25e-06] +[2024-05-17 13:35:17,772] - INFO: Epoch 3115/9999, Iter 155720: Loss = 0.01165586058050394, lr = [6.25e-06] +[2024-05-17 13:35:35,122] - INFO: Epoch 3115/9999, Iter 155740: Loss = 0.012996216304600239, lr = [6.25e-06] +[2024-05-17 13:35:43,461] - INFO: Evaluate at epoch 3115! +[2024-05-17 13:35:46,841] - INFO: Eval PSNR (max): 38.010 (2985) SSIM (max): 0.9609 (2560) +[2024-05-17 13:35:46,841] - INFO: Eval PSNR (current): 38.001 (3115) SSIM (current): 0.9608 (3115) +[2024-05-17 13:35:46,842] - INFO: Evaluation over. +[2024-05-17 13:36:02,400] - INFO: Epoch 3116/9999, Iter 155760: Loss = 0.011015592142939568, lr = [6.25e-06] +[2024-05-17 13:36:20,253] - INFO: Epoch 3116/9999, Iter 155780: Loss = 0.009903048165142536, lr = [6.25e-06] +[2024-05-17 13:36:39,284] - INFO: Epoch 3117/9999, Iter 155800: Loss = 0.015721557661890984, lr = [6.25e-06] +[2024-05-17 13:36:57,645] - INFO: Epoch 3117/9999, Iter 155820: Loss = 0.00693052401766181, lr = [6.25e-06] +[2024-05-17 13:37:17,626] - INFO: Epoch 3117/9999, Iter 155840: Loss = 0.01641152985394001, lr = [6.25e-06] +[2024-05-17 13:37:37,825] - INFO: Epoch 3118/9999, Iter 155860: Loss = 0.008522126823663712, lr = [6.25e-06] +[2024-05-17 13:37:56,699] - INFO: Epoch 3118/9999, Iter 155880: Loss = 0.013970240950584412, lr = [6.25e-06] +[2024-05-17 13:38:16,800] - INFO: Epoch 3119/9999, Iter 155900: Loss = 0.010921698994934559, lr = [6.25e-06] +[2024-05-17 13:38:33,994] - INFO: Epoch 3119/9999, Iter 155920: Loss = 0.01510135643184185, lr = [6.25e-06] +[2024-05-17 13:38:51,776] - INFO: Epoch 3119/9999, Iter 155940: Loss = 0.010124575346708298, lr = [6.25e-06] +[2024-05-17 13:39:11,273] - INFO: Epoch 3120/9999, Iter 155960: Loss = 0.017587095499038696, lr = [6.25e-06] +[2024-05-17 13:39:29,216] - INFO: Epoch 3120/9999, Iter 155980: Loss = 0.01112436968833208, lr = [6.25e-06] +[2024-05-17 13:39:45,585] - INFO: Evaluate at epoch 3120! +[2024-05-17 13:39:49,112] - INFO: Eval PSNR (max): 38.010 (2985) SSIM (max): 0.9609 (2560) +[2024-05-17 13:39:49,112] - INFO: Eval PSNR (current): 37.997 (3120) SSIM (current): 0.9608 (3120) +[2024-05-17 13:39:49,112] - INFO: Evaluation over. +[2024-05-17 13:39:55,278] - INFO: Epoch 3121/9999, Iter 156000: Loss = 0.010675198398530483, lr = [6.25e-06] +[2024-05-17 13:40:13,909] - INFO: Epoch 3121/9999, Iter 156020: Loss = 0.011374582536518574, lr = [6.25e-06] +[2024-05-17 13:40:32,029] - INFO: Epoch 3121/9999, Iter 156040: Loss = 0.011708195321261883, lr = [6.25e-06] +[2024-05-17 13:40:51,162] - INFO: Epoch 3122/9999, Iter 156060: Loss = 0.009214160032570362, lr = [6.25e-06] +[2024-05-17 13:41:09,884] - INFO: Epoch 3122/9999, Iter 156080: Loss = 0.008793835528194904, lr = [6.25e-06] +[2024-05-17 13:41:28,525] - INFO: Epoch 3123/9999, Iter 156100: Loss = 0.012249594554305077, lr = [6.25e-06] +[2024-05-17 13:41:46,328] - INFO: Epoch 3123/9999, Iter 156120: Loss = 0.016504410654306412, lr = [6.25e-06] +[2024-05-17 13:42:04,360] - INFO: Epoch 3123/9999, Iter 156140: Loss = 0.014387927949428558, lr = [6.25e-06] +[2024-05-17 13:42:23,768] - INFO: Epoch 3124/9999, Iter 156160: Loss = 0.009738938882946968, lr = [6.25e-06] +[2024-05-17 13:42:41,128] - INFO: Epoch 3124/9999, Iter 156180: Loss = 0.011828373186290264, lr = [6.25e-06] +[2024-05-17 13:43:00,248] - INFO: Epoch 3125/9999, Iter 156200: Loss = 0.010163545608520508, lr = [6.25e-06] +[2024-05-17 13:43:18,128] - INFO: Epoch 3125/9999, Iter 156220: Loss = 0.012504244223237038, lr = [6.25e-06] +[2024-05-17 13:43:36,775] - INFO: Epoch 3125/9999, Iter 156240: Loss = 0.012966484762728214, lr = [6.25e-06] +[2024-05-17 13:43:44,268] - INFO: Evaluate at epoch 3125! +[2024-05-17 13:43:47,884] - INFO: Eval PSNR (max): 38.010 (2985) SSIM (max): 0.9609 (2560) +[2024-05-17 13:43:47,884] - INFO: Eval PSNR (current): 37.993 (3125) SSIM (current): 0.9608 (3125) +[2024-05-17 13:43:47,884] - INFO: Evaluation over. +[2024-05-17 13:44:02,814] - INFO: Epoch 3126/9999, Iter 156260: Loss = 0.016306495293974876, lr = [6.25e-06] +[2024-05-17 13:44:20,870] - INFO: Epoch 3126/9999, Iter 156280: Loss = 0.017594626173377037, lr = [6.25e-06] +[2024-05-17 13:44:39,933] - INFO: Epoch 3127/9999, Iter 156300: Loss = 0.016129497438669205, lr = [6.25e-06] +[2024-05-17 13:44:56,988] - INFO: Epoch 3127/9999, Iter 156320: Loss = 0.012776018120348454, lr = [6.25e-06] +[2024-05-17 13:45:15,140] - INFO: Epoch 3127/9999, Iter 156340: Loss = 0.014697606675326824, lr = [6.25e-06] +[2024-05-17 13:45:34,601] - INFO: Epoch 3128/9999, Iter 156360: Loss = 0.012625652365386486, lr = [6.25e-06] +[2024-05-17 13:45:51,926] - INFO: Epoch 3128/9999, Iter 156380: Loss = 0.018126286566257477, lr = [6.25e-06] +[2024-05-17 13:46:10,912] - INFO: Epoch 3129/9999, Iter 156400: Loss = 0.013051475398242474, lr = [6.25e-06] +[2024-05-17 13:46:28,158] - INFO: Epoch 3129/9999, Iter 156420: Loss = 0.018708856776356697, lr = [6.25e-06] +[2024-05-17 13:46:46,184] - INFO: Epoch 3129/9999, Iter 156440: Loss = 0.007705006282776594, lr = [6.25e-06] +[2024-05-17 13:47:05,236] - INFO: Epoch 3130/9999, Iter 156460: Loss = 0.011981667950749397, lr = [6.25e-06] +[2024-05-17 13:47:23,800] - INFO: Epoch 3130/9999, Iter 156480: Loss = 0.010002926923334599, lr = [6.25e-06] +[2024-05-17 13:47:40,333] - INFO: Evaluate at epoch 3130! +[2024-05-17 13:47:43,959] - INFO: Eval PSNR (max): 38.010 (2985) SSIM (max): 0.9609 (2560) +[2024-05-17 13:47:43,960] - INFO: Eval PSNR (current): 38.000 (3130) SSIM (current): 0.9608 (3130) +[2024-05-17 13:47:43,960] - INFO: Evaluation over. +[2024-05-17 13:47:49,973] - INFO: Epoch 3131/9999, Iter 156500: Loss = 0.009569160640239716, lr = [6.25e-06] +[2024-05-17 13:48:07,296] - INFO: Epoch 3131/9999, Iter 156520: Loss = 0.016651922836899757, lr = [6.25e-06] +[2024-05-17 13:48:25,752] - INFO: Epoch 3131/9999, Iter 156540: Loss = 0.01474792417138815, lr = [6.25e-06] +[2024-05-17 13:48:44,920] - INFO: Epoch 3132/9999, Iter 156560: Loss = 0.009099075570702553, lr = [6.25e-06] +[2024-05-17 13:49:02,873] - INFO: Epoch 3132/9999, Iter 156580: Loss = 0.01015299279242754, lr = [6.25e-06] +[2024-05-17 13:49:22,403] - INFO: Epoch 3133/9999, Iter 156600: Loss = 0.009424836374819279, lr = [6.25e-06] +[2024-05-17 13:49:40,850] - INFO: Epoch 3133/9999, Iter 156620: Loss = 0.012734861113131046, lr = [6.25e-06] +[2024-05-17 13:49:58,871] - INFO: Epoch 3133/9999, Iter 156640: Loss = 0.012036102823913097, lr = [6.25e-06] +[2024-05-17 13:50:17,562] - INFO: Epoch 3134/9999, Iter 156660: Loss = 0.010846422985196114, lr = [6.25e-06] +[2024-05-17 13:50:35,460] - INFO: Epoch 3134/9999, Iter 156680: Loss = 0.01207463163882494, lr = [6.25e-06] +[2024-05-17 13:50:54,285] - INFO: Epoch 3135/9999, Iter 156700: Loss = 0.01470120344310999, lr = [6.25e-06] +[2024-05-17 13:51:11,456] - INFO: Epoch 3135/9999, Iter 156720: Loss = 0.014127476140856743, lr = [6.25e-06] +[2024-05-17 13:51:29,112] - INFO: Epoch 3135/9999, Iter 156740: Loss = 0.01027294248342514, lr = [6.25e-06] +[2024-05-17 13:51:37,179] - INFO: Evaluate at epoch 3135! +[2024-05-17 13:51:40,696] - INFO: Eval PSNR (max): 38.010 (2985) SSIM (max): 0.9609 (2560) +[2024-05-17 13:51:40,697] - INFO: Eval PSNR (current): 37.995 (3135) SSIM (current): 0.9608 (3135) +[2024-05-17 13:51:40,697] - INFO: Evaluation over. +[2024-05-17 13:51:55,473] - INFO: Epoch 3136/9999, Iter 156760: Loss = 0.011598050594329834, lr = [6.25e-06] +[2024-05-17 13:52:12,480] - INFO: Epoch 3136/9999, Iter 156780: Loss = 0.014815211296081543, lr = [6.25e-06] +[2024-05-17 13:52:31,810] - INFO: Epoch 3137/9999, Iter 156800: Loss = 0.01445192750543356, lr = [6.25e-06] +[2024-05-17 13:52:48,963] - INFO: Epoch 3137/9999, Iter 156820: Loss = 0.007165492046624422, lr = [6.25e-06] +[2024-05-17 13:53:07,042] - INFO: Epoch 3137/9999, Iter 156840: Loss = 0.007835006341338158, lr = [6.25e-06] +[2024-05-17 13:53:25,466] - INFO: Epoch 3138/9999, Iter 156860: Loss = 0.016366416588425636, lr = [6.25e-06] +[2024-05-17 13:53:43,134] - INFO: Epoch 3138/9999, Iter 156880: Loss = 0.014180168509483337, lr = [6.25e-06] +[2024-05-17 13:54:02,828] - INFO: Epoch 3139/9999, Iter 156900: Loss = 0.009721729904413223, lr = [6.25e-06] +[2024-05-17 13:54:20,683] - INFO: Epoch 3139/9999, Iter 156920: Loss = 0.008790968917310238, lr = [6.25e-06] +[2024-05-17 13:54:38,752] - INFO: Epoch 3139/9999, Iter 156940: Loss = 0.01218939945101738, lr = [6.25e-06] +[2024-05-17 13:54:58,152] - INFO: Epoch 3140/9999, Iter 156960: Loss = 0.010718985460698605, lr = [6.25e-06] +[2024-05-17 13:55:15,729] - INFO: Epoch 3140/9999, Iter 156980: Loss = 0.01126863807439804, lr = [6.25e-06] +[2024-05-17 13:55:32,596] - INFO: Evaluate at epoch 3140! +[2024-05-17 13:55:36,105] - INFO: Eval PSNR (max): 38.010 (2985) SSIM (max): 0.9609 (2560) +[2024-05-17 13:55:36,106] - INFO: Eval PSNR (current): 38.000 (3140) SSIM (current): 0.9608 (3140) +[2024-05-17 13:55:36,106] - INFO: Evaluation over. +[2024-05-17 13:55:42,060] - INFO: Epoch 3141/9999, Iter 157000: Loss = 0.009763605892658234, lr = [6.25e-06] +[2024-05-17 13:56:00,041] - INFO: Epoch 3141/9999, Iter 157020: Loss = 0.015588842332363129, lr = [6.25e-06] +[2024-05-17 13:56:17,740] - INFO: Epoch 3141/9999, Iter 157040: Loss = 0.009995638392865658, lr = [6.25e-06] +[2024-05-17 13:56:37,158] - INFO: Epoch 3142/9999, Iter 157060: Loss = 0.010971623472869396, lr = [6.25e-06] +[2024-05-17 13:56:55,549] - INFO: Epoch 3142/9999, Iter 157080: Loss = 0.014015920460224152, lr = [6.25e-06] +[2024-05-17 13:57:14,128] - INFO: Epoch 3143/9999, Iter 157100: Loss = 0.009821295738220215, lr = [6.25e-06] +[2024-05-17 13:57:32,407] - INFO: Epoch 3143/9999, Iter 157120: Loss = 0.012119101360440254, lr = [6.25e-06] +[2024-05-17 13:57:50,392] - INFO: Epoch 3143/9999, Iter 157140: Loss = 0.014446289278566837, lr = [6.25e-06] +[2024-05-17 13:58:09,010] - INFO: Epoch 3144/9999, Iter 157160: Loss = 0.010263832286000252, lr = [6.25e-06] +[2024-05-17 13:58:26,419] - INFO: Epoch 3144/9999, Iter 157180: Loss = 0.01065743900835514, lr = [6.25e-06] +[2024-05-17 13:58:45,180] - INFO: Epoch 3145/9999, Iter 157200: Loss = 0.013485977426171303, lr = [6.25e-06] +[2024-05-17 13:59:03,889] - INFO: Epoch 3145/9999, Iter 157220: Loss = 0.012431740760803223, lr = [6.25e-06] +[2024-05-17 13:59:21,688] - INFO: Epoch 3145/9999, Iter 157240: Loss = 0.011326371692121029, lr = [6.25e-06] +[2024-05-17 13:59:29,148] - INFO: Evaluate at epoch 3145! +[2024-05-17 13:59:32,761] - INFO: Eval PSNR (max): 38.010 (2985) SSIM (max): 0.9609 (2560) +[2024-05-17 13:59:32,761] - INFO: Eval PSNR (current): 37.990 (3145) SSIM (current): 0.9608 (3145) +[2024-05-17 13:59:32,761] - INFO: Evaluation over. +[2024-05-17 13:59:47,723] - INFO: Epoch 3146/9999, Iter 157260: Loss = 0.01646319217979908, lr = [6.25e-06] +[2024-05-17 14:00:05,100] - INFO: Epoch 3146/9999, Iter 157280: Loss = 0.015612395480275154, lr = [6.25e-06] +[2024-05-17 14:00:24,457] - INFO: Epoch 3147/9999, Iter 157300: Loss = 0.01602810062468052, lr = [6.25e-06] +[2024-05-17 14:00:43,089] - INFO: Epoch 3147/9999, Iter 157320: Loss = 0.014190705493092537, lr = [6.25e-06] +[2024-05-17 14:01:00,541] - INFO: Epoch 3147/9999, Iter 157340: Loss = 0.010144555941224098, lr = [6.25e-06] +[2024-05-17 14:01:20,172] - INFO: Epoch 3148/9999, Iter 157360: Loss = 0.013407716527581215, lr = [6.25e-06] +[2024-05-17 14:01:37,671] - INFO: Epoch 3148/9999, Iter 157380: Loss = 0.012927573174238205, lr = [6.25e-06] +[2024-05-17 14:01:57,088] - INFO: Epoch 3149/9999, Iter 157400: Loss = 0.010954479686915874, lr = [6.25e-06] +[2024-05-17 14:02:15,304] - INFO: Epoch 3149/9999, Iter 157420: Loss = 0.009750393219292164, lr = [6.25e-06] +[2024-05-17 14:02:33,792] - INFO: Epoch 3149/9999, Iter 157440: Loss = 0.009562847204506397, lr = [6.25e-06] +[2024-05-17 14:02:52,958] - INFO: Epoch 3150/9999, Iter 157460: Loss = 0.019647717475891113, lr = [6.25e-06] +[2024-05-17 14:03:11,348] - INFO: Epoch 3150/9999, Iter 157480: Loss = 0.011567014269530773, lr = [6.25e-06] +[2024-05-17 14:03:27,814] - INFO: Evaluate at epoch 3150! +[2024-05-17 14:03:31,379] - INFO: Eval PSNR (max): 38.010 (2985) SSIM (max): 0.9609 (2560) +[2024-05-17 14:03:31,379] - INFO: Eval PSNR (current): 38.001 (3150) SSIM (current): 0.9608 (3150) +[2024-05-17 14:03:31,379] - INFO: Evaluation over. +[2024-05-17 14:03:37,613] - INFO: Epoch 3151/9999, Iter 157500: Loss = 0.013491380959749222, lr = [6.25e-06] +[2024-05-17 14:03:55,413] - INFO: Epoch 3151/9999, Iter 157520: Loss = 0.009222807362675667, lr = [6.25e-06] +[2024-05-17 14:04:13,875] - INFO: Epoch 3151/9999, Iter 157540: Loss = 0.014857049100100994, lr = [6.25e-06] +[2024-05-17 14:04:32,426] - INFO: Epoch 3152/9999, Iter 157560: Loss = 0.014403813518583775, lr = [6.25e-06] +[2024-05-17 14:04:50,916] - INFO: Epoch 3152/9999, Iter 157580: Loss = 0.012016601860523224, lr = [6.25e-06] +[2024-05-17 14:05:10,308] - INFO: Epoch 3153/9999, Iter 157600: Loss = 0.013289135880768299, lr = [6.25e-06] +[2024-05-17 14:05:28,208] - INFO: Epoch 3153/9999, Iter 157620: Loss = 0.009030711837112904, lr = [6.25e-06] +[2024-05-17 14:05:46,656] - INFO: Epoch 3153/9999, Iter 157640: Loss = 0.01093102153390646, lr = [6.25e-06] +[2024-05-17 14:06:05,140] - INFO: Epoch 3154/9999, Iter 157660: Loss = 0.016788164153695107, lr = [6.25e-06] +[2024-05-17 14:06:23,909] - INFO: Epoch 3154/9999, Iter 157680: Loss = 0.009412110783159733, lr = [6.25e-06] +[2024-05-17 14:06:42,869] - INFO: Epoch 3155/9999, Iter 157700: Loss = 0.012117545120418072, lr = [6.25e-06] +[2024-05-17 14:07:00,392] - INFO: Epoch 3155/9999, Iter 157720: Loss = 0.013577072881162167, lr = [6.25e-06] +[2024-05-17 14:07:17,720] - INFO: Epoch 3155/9999, Iter 157740: Loss = 0.010565532371401787, lr = [6.25e-06] +[2024-05-17 14:07:25,498] - INFO: Evaluate at epoch 3155! +[2024-05-17 14:07:29,077] - INFO: Eval PSNR (max): 38.010 (2985) SSIM (max): 0.9609 (2560) +[2024-05-17 14:07:29,078] - INFO: Eval PSNR (current): 37.987 (3155) SSIM (current): 0.9608 (3155) +[2024-05-17 14:07:29,078] - INFO: Evaluation over. +[2024-05-17 14:07:43,494] - INFO: Epoch 3156/9999, Iter 157760: Loss = 0.011316544376313686, lr = [6.25e-06] +[2024-05-17 14:08:01,347] - INFO: Epoch 3156/9999, Iter 157780: Loss = 0.014550845138728619, lr = [6.25e-06] +[2024-05-17 14:08:20,254] - INFO: Epoch 3157/9999, Iter 157800: Loss = 0.011661459691822529, lr = [6.25e-06] +[2024-05-17 14:08:38,278] - INFO: Epoch 3157/9999, Iter 157820: Loss = 0.011849643662571907, lr = [6.25e-06] +[2024-05-17 14:08:56,337] - INFO: Epoch 3157/9999, Iter 157840: Loss = 0.01258687861263752, lr = [6.25e-06] +[2024-05-17 14:09:15,461] - INFO: Epoch 3158/9999, Iter 157860: Loss = 0.00956000480800867, lr = [6.25e-06] +[2024-05-17 14:09:33,912] - INFO: Epoch 3158/9999, Iter 157880: Loss = 0.021329067647457123, lr = [6.25e-06] +[2024-05-17 14:09:53,287] - INFO: Epoch 3159/9999, Iter 157900: Loss = 0.011852224357426167, lr = [6.25e-06] +[2024-05-17 14:10:10,671] - INFO: Epoch 3159/9999, Iter 157920: Loss = 0.010244309902191162, lr = [6.25e-06] +[2024-05-17 14:10:27,951] - INFO: Epoch 3159/9999, Iter 157940: Loss = 0.01060706190764904, lr = [6.25e-06] +[2024-05-17 14:10:47,156] - INFO: Epoch 3160/9999, Iter 157960: Loss = 0.0073019894771277905, lr = [6.25e-06] +[2024-05-17 14:11:05,580] - INFO: Epoch 3160/9999, Iter 157980: Loss = 0.007510494440793991, lr = [6.25e-06] +[2024-05-17 14:11:22,470] - INFO: Evaluate at epoch 3160! +[2024-05-17 14:11:25,986] - INFO: Eval PSNR (max): 38.010 (2985) SSIM (max): 0.9609 (2560) +[2024-05-17 14:11:25,986] - INFO: Eval PSNR (current): 37.996 (3160) SSIM (current): 0.9608 (3160) +[2024-05-17 14:11:25,986] - INFO: Evaluation over. +[2024-05-17 14:11:32,080] - INFO: Epoch 3161/9999, Iter 158000: Loss = 0.014412526041269302, lr = [6.25e-06] +[2024-05-17 14:11:49,700] - INFO: Epoch 3161/9999, Iter 158020: Loss = 0.008961418643593788, lr = [6.25e-06] +[2024-05-17 14:12:08,171] - INFO: Epoch 3161/9999, Iter 158040: Loss = 0.007950114086270332, lr = [6.25e-06] +[2024-05-17 14:12:27,386] - INFO: Epoch 3162/9999, Iter 158060: Loss = 0.009329676628112793, lr = [6.25e-06] +[2024-05-17 14:12:44,999] - INFO: Epoch 3162/9999, Iter 158080: Loss = 0.012874648906290531, lr = [6.25e-06] +[2024-05-17 14:13:03,891] - INFO: Epoch 3163/9999, Iter 158100: Loss = 0.014479494653642178, lr = [6.25e-06] +[2024-05-17 14:13:22,103] - INFO: Epoch 3163/9999, Iter 158120: Loss = 0.011150501668453217, lr = [6.25e-06] +[2024-05-17 14:13:40,184] - INFO: Epoch 3163/9999, Iter 158140: Loss = 0.016419723629951477, lr = [6.25e-06] +[2024-05-17 14:13:59,258] - INFO: Epoch 3164/9999, Iter 158160: Loss = 0.014378655701875687, lr = [6.25e-06] +[2024-05-17 14:14:16,631] - INFO: Epoch 3164/9999, Iter 158180: Loss = 0.01406670268625021, lr = [6.25e-06] +[2024-05-17 14:14:35,577] - INFO: Epoch 3165/9999, Iter 158200: Loss = 0.012590048834681511, lr = [6.25e-06] +[2024-05-17 14:14:52,435] - INFO: Epoch 3165/9999, Iter 158220: Loss = 0.01018170639872551, lr = [6.25e-06] +[2024-05-17 14:15:10,812] - INFO: Epoch 3165/9999, Iter 158240: Loss = 0.01427108608186245, lr = [6.25e-06] +[2024-05-17 14:15:18,594] - INFO: Evaluate at epoch 3165! +[2024-05-17 14:15:22,162] - INFO: Eval PSNR (max): 38.010 (2985) SSIM (max): 0.9609 (2560) +[2024-05-17 14:15:22,162] - INFO: Eval PSNR (current): 37.995 (3165) SSIM (current): 0.9608 (3165) +[2024-05-17 14:15:22,162] - INFO: Evaluation over. +[2024-05-17 14:15:36,532] - INFO: Epoch 3166/9999, Iter 158260: Loss = 0.013767684809863567, lr = [6.25e-06] +[2024-05-17 14:15:54,529] - INFO: Epoch 3166/9999, Iter 158280: Loss = 0.013314098119735718, lr = [6.25e-06] +[2024-05-17 14:16:13,393] - INFO: Epoch 3167/9999, Iter 158300: Loss = 0.009735937230288982, lr = [6.25e-06] +[2024-05-17 14:16:30,550] - INFO: Epoch 3167/9999, Iter 158320: Loss = 0.017258061096072197, lr = [6.25e-06] +[2024-05-17 14:16:48,007] - INFO: Epoch 3167/9999, Iter 158340: Loss = 0.012595350854098797, lr = [6.25e-06] +[2024-05-17 14:17:07,068] - INFO: Epoch 3168/9999, Iter 158360: Loss = 0.016697373241186142, lr = [6.25e-06] +[2024-05-17 14:17:25,432] - INFO: Epoch 3168/9999, Iter 158380: Loss = 0.015344974584877491, lr = [6.25e-06] +[2024-05-17 14:17:44,652] - INFO: Epoch 3169/9999, Iter 158400: Loss = 0.018970860168337822, lr = [6.25e-06] +[2024-05-17 14:18:02,796] - INFO: Epoch 3169/9999, Iter 158420: Loss = 0.013200085610151291, lr = [6.25e-06] +[2024-05-17 14:18:20,412] - INFO: Epoch 3169/9999, Iter 158440: Loss = 0.01453130878508091, lr = [6.25e-06] +[2024-05-17 14:18:39,509] - INFO: Epoch 3170/9999, Iter 158460: Loss = 0.01648266427218914, lr = [6.25e-06] +[2024-05-17 14:18:57,214] - INFO: Epoch 3170/9999, Iter 158480: Loss = 0.01050677802413702, lr = [6.25e-06] +[2024-05-17 14:19:14,178] - INFO: Evaluate at epoch 3170! +[2024-05-17 14:19:18,034] - INFO: Eval PSNR (max): 38.010 (2985) SSIM (max): 0.9609 (2560) +[2024-05-17 14:19:18,034] - INFO: Eval PSNR (current): 38.003 (3170) SSIM (current): 0.9608 (3170) +[2024-05-17 14:19:18,034] - INFO: Evaluation over. +[2024-05-17 14:19:24,421] - INFO: Epoch 3171/9999, Iter 158500: Loss = 0.01407531462609768, lr = [6.25e-06] +[2024-05-17 14:19:42,207] - INFO: Epoch 3171/9999, Iter 158520: Loss = 0.012882232666015625, lr = [6.25e-06] +[2024-05-17 14:19:59,931] - INFO: Epoch 3171/9999, Iter 158540: Loss = 0.014070729725062847, lr = [6.25e-06] +[2024-05-17 14:20:18,268] - INFO: Epoch 3172/9999, Iter 158560: Loss = 0.015133284032344818, lr = [6.25e-06] +[2024-05-17 14:20:35,917] - INFO: Epoch 3172/9999, Iter 158580: Loss = 0.012230128981173038, lr = [6.25e-06] +[2024-05-17 14:20:55,233] - INFO: Epoch 3173/9999, Iter 158600: Loss = 0.01361669972538948, lr = [6.25e-06] +[2024-05-17 14:21:13,208] - INFO: Epoch 3173/9999, Iter 158620: Loss = 0.010020839050412178, lr = [6.25e-06] +[2024-05-17 14:21:31,236] - INFO: Epoch 3173/9999, Iter 158640: Loss = 0.017158588394522667, lr = [6.25e-06] +[2024-05-17 14:21:50,508] - INFO: Epoch 3174/9999, Iter 158660: Loss = 0.013417179696261883, lr = [6.25e-06] +[2024-05-17 14:22:08,732] - INFO: Epoch 3174/9999, Iter 158680: Loss = 0.01412465050816536, lr = [6.25e-06] +[2024-05-17 14:22:27,421] - INFO: Epoch 3175/9999, Iter 158700: Loss = 0.012367229908704758, lr = [6.25e-06] +[2024-05-17 14:22:46,211] - INFO: Epoch 3175/9999, Iter 158720: Loss = 0.011935921385884285, lr = [6.25e-06] +[2024-05-17 14:23:03,802] - INFO: Epoch 3175/9999, Iter 158740: Loss = 0.01647224649786949, lr = [6.25e-06] +[2024-05-17 14:23:11,623] - INFO: Evaluate at epoch 3175! +[2024-05-17 14:23:15,437] - INFO: Eval PSNR (max): 38.010 (2985) SSIM (max): 0.9609 (2560) +[2024-05-17 14:23:15,437] - INFO: Eval PSNR (current): 37.998 (3175) SSIM (current): 0.9608 (3175) +[2024-05-17 14:23:15,437] - INFO: Evaluation over. +[2024-05-17 14:23:30,992] - INFO: Epoch 3176/9999, Iter 158760: Loss = 0.019589627161622047, lr = [6.25e-06] +[2024-05-17 14:23:48,848] - INFO: Epoch 3176/9999, Iter 158780: Loss = 0.013183009810745716, lr = [6.25e-06] +[2024-05-17 14:24:07,977] - INFO: Epoch 3177/9999, Iter 158800: Loss = 0.00995698757469654, lr = [6.25e-06] +[2024-05-17 14:24:25,036] - INFO: Epoch 3177/9999, Iter 158820: Loss = 0.01365294773131609, lr = [6.25e-06] +[2024-05-17 14:24:42,556] - INFO: Epoch 3177/9999, Iter 158840: Loss = 0.012165794149041176, lr = [6.25e-06] +[2024-05-17 14:25:03,403] - INFO: Epoch 3178/9999, Iter 158860: Loss = 0.016079481691122055, lr = [6.25e-06] +[2024-05-17 14:25:21,992] - INFO: Epoch 3178/9999, Iter 158880: Loss = 0.013571962714195251, lr = [6.25e-06] +[2024-05-17 14:25:41,876] - INFO: Epoch 3179/9999, Iter 158900: Loss = 0.012292610481381416, lr = [6.25e-06] +[2024-05-17 14:26:00,418] - INFO: Epoch 3179/9999, Iter 158920: Loss = 0.010374406352639198, lr = [6.25e-06] +[2024-05-17 14:26:18,636] - INFO: Epoch 3179/9999, Iter 158940: Loss = 0.015048167668282986, lr = [6.25e-06] +[2024-05-17 14:26:38,277] - INFO: Epoch 3180/9999, Iter 158960: Loss = 0.009719247929751873, lr = [6.25e-06] +[2024-05-17 14:26:56,163] - INFO: Epoch 3180/9999, Iter 158980: Loss = 0.015562123619019985, lr = [6.25e-06] +[2024-05-17 14:27:12,857] - INFO: Evaluate at epoch 3180! +[2024-05-17 14:27:16,497] - INFO: Eval PSNR (max): 38.010 (2985) SSIM (max): 0.9609 (2560) +[2024-05-17 14:27:16,497] - INFO: Eval PSNR (current): 37.995 (3180) SSIM (current): 0.9608 (3180) +[2024-05-17 14:27:16,497] - INFO: Evaluation over. +[2024-05-17 14:27:22,588] - INFO: Epoch 3181/9999, Iter 159000: Loss = 0.011155123822391033, lr = [6.25e-06] +[2024-05-17 14:27:40,312] - INFO: Epoch 3181/9999, Iter 159020: Loss = 0.01364236231893301, lr = [6.25e-06] +[2024-05-17 14:27:58,187] - INFO: Epoch 3181/9999, Iter 159040: Loss = 0.010827169753611088, lr = [6.25e-06] +[2024-05-17 14:28:17,714] - INFO: Epoch 3182/9999, Iter 159060: Loss = 0.00912436842918396, lr = [6.25e-06] +[2024-05-17 14:28:35,336] - INFO: Epoch 3182/9999, Iter 159080: Loss = 0.011701416224241257, lr = [6.25e-06] +[2024-05-17 14:28:54,137] - INFO: Epoch 3183/9999, Iter 159100: Loss = 0.0154596958309412, lr = [6.25e-06] +[2024-05-17 14:29:12,119] - INFO: Epoch 3183/9999, Iter 159120: Loss = 0.012732145376503468, lr = [6.25e-06] +[2024-05-17 14:29:30,182] - INFO: Epoch 3183/9999, Iter 159140: Loss = 0.012533403933048248, lr = [6.25e-06] +[2024-05-17 14:29:49,148] - INFO: Epoch 3184/9999, Iter 159160: Loss = 0.008379288017749786, lr = [6.25e-06] +[2024-05-17 14:30:06,535] - INFO: Epoch 3184/9999, Iter 159180: Loss = 0.009324753656983376, lr = [6.25e-06] +[2024-05-17 14:30:25,142] - INFO: Epoch 3185/9999, Iter 159200: Loss = 0.018180886283516884, lr = [6.25e-06] +[2024-05-17 14:30:43,071] - INFO: Epoch 3185/9999, Iter 159220: Loss = 0.01153414137661457, lr = [6.25e-06] +[2024-05-17 14:31:01,310] - INFO: Epoch 3185/9999, Iter 159240: Loss = 0.014255513437092304, lr = [6.25e-06] +[2024-05-17 14:31:08,871] - INFO: Evaluate at epoch 3185! +[2024-05-17 14:31:12,431] - INFO: Eval PSNR (max): 38.010 (2985) SSIM (max): 0.9609 (2560) +[2024-05-17 14:31:12,432] - INFO: Eval PSNR (current): 37.997 (3185) SSIM (current): 0.9608 (3185) +[2024-05-17 14:31:12,432] - INFO: Evaluation over. +[2024-05-17 14:31:27,689] - INFO: Epoch 3186/9999, Iter 159260: Loss = 0.010273551568388939, lr = [6.25e-06] +[2024-05-17 14:31:46,072] - INFO: Epoch 3186/9999, Iter 159280: Loss = 0.017646046355366707, lr = [6.25e-06] +[2024-05-17 14:32:04,664] - INFO: Epoch 3187/9999, Iter 159300: Loss = 0.013949085958302021, lr = [6.25e-06] +[2024-05-17 14:32:23,068] - INFO: Epoch 3187/9999, Iter 159320: Loss = 0.019930290058255196, lr = [6.25e-06] +[2024-05-17 14:32:41,014] - INFO: Epoch 3187/9999, Iter 159340: Loss = 0.012299233116209507, lr = [6.25e-06] +[2024-05-17 14:32:59,712] - INFO: Epoch 3188/9999, Iter 159360: Loss = 0.010290221311151981, lr = [6.25e-06] +[2024-05-17 14:33:17,766] - INFO: Epoch 3188/9999, Iter 159380: Loss = 0.016833040863275528, lr = [6.25e-06] +[2024-05-17 14:33:36,860] - INFO: Epoch 3189/9999, Iter 159400: Loss = 0.014128022827208042, lr = [6.25e-06] +[2024-05-17 14:33:54,067] - INFO: Epoch 3189/9999, Iter 159420: Loss = 0.012538469396531582, lr = [6.25e-06] +[2024-05-17 14:34:11,464] - INFO: Epoch 3189/9999, Iter 159440: Loss = 0.011900009587407112, lr = [6.25e-06] +[2024-05-17 14:34:31,244] - INFO: Epoch 3190/9999, Iter 159460: Loss = 0.015430979430675507, lr = [6.25e-06] +[2024-05-17 14:34:48,992] - INFO: Epoch 3190/9999, Iter 159480: Loss = 0.011744743213057518, lr = [6.25e-06] +[2024-05-17 14:35:05,804] - INFO: Evaluate at epoch 3190! +[2024-05-17 14:35:09,369] - INFO: Eval PSNR (max): 38.010 (2985) SSIM (max): 0.9609 (2560) +[2024-05-17 14:35:09,370] - INFO: Eval PSNR (current): 37.996 (3190) SSIM (current): 0.9608 (3190) +[2024-05-17 14:35:09,370] - INFO: Evaluation over. +[2024-05-17 14:35:15,200] - INFO: Epoch 3191/9999, Iter 159500: Loss = 0.016314886510372162, lr = [6.25e-06] +[2024-05-17 14:35:32,196] - INFO: Epoch 3191/9999, Iter 159520: Loss = 0.013910816982388496, lr = [6.25e-06] +[2024-05-17 14:35:49,817] - INFO: Epoch 3191/9999, Iter 159540: Loss = 0.01821756549179554, lr = [6.25e-06] +[2024-05-17 14:36:09,967] - INFO: Epoch 3192/9999, Iter 159560: Loss = 0.015746744349598885, lr = [6.25e-06] +[2024-05-17 14:36:27,824] - INFO: Epoch 3192/9999, Iter 159580: Loss = 0.016529686748981476, lr = [6.25e-06] +[2024-05-17 14:36:46,601] - INFO: Epoch 3193/9999, Iter 159600: Loss = 0.012471528723835945, lr = [6.25e-06] +[2024-05-17 14:37:03,846] - INFO: Epoch 3193/9999, Iter 159620: Loss = 0.009877935983240604, lr = [6.25e-06] +[2024-05-17 14:37:21,334] - INFO: Epoch 3193/9999, Iter 159640: Loss = 0.009482601657509804, lr = [6.25e-06] +[2024-05-17 14:37:40,348] - INFO: Epoch 3194/9999, Iter 159660: Loss = 0.011547178961336613, lr = [6.25e-06] +[2024-05-17 14:37:58,764] - INFO: Epoch 3194/9999, Iter 159680: Loss = 0.014587157405912876, lr = [6.25e-06] +[2024-05-17 14:38:17,685] - INFO: Epoch 3195/9999, Iter 159700: Loss = 0.015311832539737225, lr = [6.25e-06] +[2024-05-17 14:38:35,976] - INFO: Epoch 3195/9999, Iter 159720: Loss = 0.011675684712827206, lr = [6.25e-06] +[2024-05-17 14:38:53,564] - INFO: Epoch 3195/9999, Iter 159740: Loss = 0.008163495920598507, lr = [6.25e-06] +[2024-05-17 14:39:01,341] - INFO: Evaluate at epoch 3195! +[2024-05-17 14:39:04,997] - INFO: Eval PSNR (max): 38.010 (2985) SSIM (max): 0.9609 (2560) +[2024-05-17 14:39:04,997] - INFO: Eval PSNR (current): 37.979 (3195) SSIM (current): 0.9608 (3195) +[2024-05-17 14:39:04,998] - INFO: Evaluation over. +[2024-05-17 14:39:19,476] - INFO: Epoch 3196/9999, Iter 159760: Loss = 0.01631520688533783, lr = [6.25e-06] +[2024-05-17 14:39:37,700] - INFO: Epoch 3196/9999, Iter 159780: Loss = 0.013172400183975697, lr = [6.25e-06] +[2024-05-17 14:39:57,092] - INFO: Epoch 3197/9999, Iter 159800: Loss = 0.011754654347896576, lr = [6.25e-06] +[2024-05-17 14:40:14,708] - INFO: Epoch 3197/9999, Iter 159820: Loss = 0.014141690917313099, lr = [6.25e-06] +[2024-05-17 14:40:32,938] - INFO: Epoch 3197/9999, Iter 159840: Loss = 0.008717311546206474, lr = [6.25e-06] +[2024-05-17 14:40:52,385] - INFO: Epoch 3198/9999, Iter 159860: Loss = 0.01565886102616787, lr = [6.25e-06] +[2024-05-17 14:41:10,120] - INFO: Epoch 3198/9999, Iter 159880: Loss = 0.008845774456858635, lr = [6.25e-06] +[2024-05-17 14:41:29,333] - INFO: Epoch 3199/9999, Iter 159900: Loss = 0.016873637214303017, lr = [6.25e-06] +[2024-05-17 14:41:46,721] - INFO: Epoch 3199/9999, Iter 159920: Loss = 0.012196410447359085, lr = [6.25e-06] +[2024-05-17 14:42:04,310] - INFO: Epoch 3199/9999, Iter 159940: Loss = 0.011674960143864155, lr = [6.25e-06] +[2024-05-17 14:42:23,311] - INFO: Epoch 3200/9999, Iter 159960: Loss = 0.016006972640752792, lr = [6.25e-06] +[2024-05-17 14:42:41,359] - INFO: Epoch 3200/9999, Iter 159980: Loss = 0.006353744305670261, lr = [6.25e-06] +[2024-05-17 14:42:58,120] - INFO: Evaluate at epoch 3200! +[2024-05-17 14:43:01,885] - INFO: Eval PSNR (max): 38.010 (2985) SSIM (max): 0.9609 (2560) +[2024-05-17 14:43:01,886] - INFO: Eval PSNR (current): 38.009 (3200) SSIM (current): 0.9608 (3200) +[2024-05-17 14:43:01,886] - INFO: Evaluation over. +[2024-05-17 14:43:08,037] - INFO: Epoch 3201/9999, Iter 160000: Loss = 0.017393719404935837, lr = [6.25e-06] +[2024-05-17 14:43:25,284] - INFO: Epoch 3201/9999, Iter 160020: Loss = 0.01839614100754261, lr = [6.25e-06] +[2024-05-17 14:43:43,490] - INFO: Epoch 3201/9999, Iter 160040: Loss = 0.008150570094585419, lr = [6.25e-06] +[2024-05-17 14:44:02,432] - INFO: Epoch 3202/9999, Iter 160060: Loss = 0.008207602426409721, lr = [6.25e-06] +[2024-05-17 14:44:20,354] - INFO: Epoch 3202/9999, Iter 160080: Loss = 0.011776650324463844, lr = [6.25e-06] +[2024-05-17 14:44:39,082] - INFO: Epoch 3203/9999, Iter 160100: Loss = 0.0106524508446455, lr = [6.25e-06] +[2024-05-17 14:44:56,888] - INFO: Epoch 3203/9999, Iter 160120: Loss = 0.015101908706128597, lr = [6.25e-06] +[2024-05-17 14:45:15,012] - INFO: Epoch 3203/9999, Iter 160140: Loss = 0.007929359562695026, lr = [6.25e-06] +[2024-05-17 14:45:33,662] - INFO: Epoch 3204/9999, Iter 160160: Loss = 0.012703423388302326, lr = [6.25e-06] +[2024-05-17 14:45:50,840] - INFO: Epoch 3204/9999, Iter 160180: Loss = 0.018425580114126205, lr = [6.25e-06] +[2024-05-17 14:46:10,475] - INFO: Epoch 3205/9999, Iter 160200: Loss = 0.012472775764763355, lr = [6.25e-06] +[2024-05-17 14:46:28,892] - INFO: Epoch 3205/9999, Iter 160220: Loss = 0.01415270660072565, lr = [6.25e-06] +[2024-05-17 14:46:46,612] - INFO: Epoch 3205/9999, Iter 160240: Loss = 0.016997285187244415, lr = [6.25e-06] +[2024-05-17 14:46:54,524] - INFO: Evaluate at epoch 3205! +[2024-05-17 14:46:58,203] - INFO: Eval PSNR (max): 38.010 (2985) SSIM (max): 0.9609 (2560) +[2024-05-17 14:46:58,203] - INFO: Eval PSNR (current): 37.993 (3205) SSIM (current): 0.9608 (3205) +[2024-05-17 14:46:58,203] - INFO: Evaluation over. +[2024-05-17 14:47:12,819] - INFO: Epoch 3206/9999, Iter 160260: Loss = 0.013329868204891682, lr = [6.25e-06] +[2024-05-17 14:47:29,698] - INFO: Epoch 3206/9999, Iter 160280: Loss = 0.014264129102230072, lr = [6.25e-06] +[2024-05-17 14:47:49,181] - INFO: Epoch 3207/9999, Iter 160300: Loss = 0.010498504154384136, lr = [6.25e-06] +[2024-05-17 14:48:07,999] - INFO: Epoch 3207/9999, Iter 160320: Loss = 0.014977619051933289, lr = [6.25e-06] +[2024-05-17 14:48:26,063] - INFO: Epoch 3207/9999, Iter 160340: Loss = 0.012573644518852234, lr = [6.25e-06] +[2024-05-17 14:48:45,249] - INFO: Epoch 3208/9999, Iter 160360: Loss = 0.016204707324504852, lr = [6.25e-06] +[2024-05-17 14:49:03,260] - INFO: Epoch 3208/9999, Iter 160380: Loss = 0.01354809757322073, lr = [6.25e-06] +[2024-05-17 14:49:22,112] - INFO: Epoch 3209/9999, Iter 160400: Loss = 0.008688392117619514, lr = [6.25e-06] +[2024-05-17 14:49:40,343] - INFO: Epoch 3209/9999, Iter 160420: Loss = 0.013191272504627705, lr = [6.25e-06] +[2024-05-17 14:49:58,704] - INFO: Epoch 3209/9999, Iter 160440: Loss = 0.014357762411236763, lr = [6.25e-06] +[2024-05-17 14:50:18,483] - INFO: Epoch 3210/9999, Iter 160460: Loss = 0.014320551417768002, lr = [6.25e-06] +[2024-05-17 14:50:36,735] - INFO: Epoch 3210/9999, Iter 160480: Loss = 0.013326345942914486, lr = [6.25e-06] +[2024-05-17 14:50:53,645] - INFO: Evaluate at epoch 3210! +[2024-05-17 14:50:57,516] - INFO: Eval PSNR (max): 38.010 (2985) SSIM (max): 0.9609 (2560) +[2024-05-17 14:50:57,516] - INFO: Eval PSNR (current): 37.993 (3210) SSIM (current): 0.9608 (3210) +[2024-05-17 14:50:57,517] - INFO: Evaluation over. +[2024-05-17 14:51:03,997] - INFO: Epoch 3211/9999, Iter 160500: Loss = 0.008910300210118294, lr = [6.25e-06] +[2024-05-17 14:51:20,698] - INFO: Epoch 3211/9999, Iter 160520: Loss = 0.013005880638957024, lr = [6.25e-06] +[2024-05-17 14:51:38,381] - INFO: Epoch 3211/9999, Iter 160540: Loss = 0.011591213755309582, lr = [6.25e-06] +[2024-05-17 14:51:57,493] - INFO: Epoch 3212/9999, Iter 160560: Loss = 0.01898312196135521, lr = [6.25e-06] +[2024-05-17 14:52:14,984] - INFO: Epoch 3212/9999, Iter 160580: Loss = 0.008675018325448036, lr = [6.25e-06] +[2024-05-17 14:52:34,910] - INFO: Epoch 3213/9999, Iter 160600: Loss = 0.015469408594071865, lr = [6.25e-06] +[2024-05-17 14:52:53,048] - INFO: Epoch 3213/9999, Iter 160620: Loss = 0.007461619097739458, lr = [6.25e-06] +[2024-05-17 14:53:11,618] - INFO: Epoch 3213/9999, Iter 160640: Loss = 0.013874722644686699, lr = [6.25e-06] +[2024-05-17 14:53:32,155] - INFO: Epoch 3214/9999, Iter 160660: Loss = 0.015616582706570625, lr = [6.25e-06] +[2024-05-17 14:53:49,668] - INFO: Epoch 3214/9999, Iter 160680: Loss = 0.01263858750462532, lr = [6.25e-06] +[2024-05-17 14:54:10,296] - INFO: Epoch 3215/9999, Iter 160700: Loss = 0.00857723131775856, lr = [6.25e-06] +[2024-05-17 14:54:32,631] - INFO: Epoch 3215/9999, Iter 160720: Loss = 0.014265875332057476, lr = [6.25e-06] +[2024-05-17 14:54:58,319] - INFO: Epoch 3215/9999, Iter 160740: Loss = 0.011914622969925404, lr = [6.25e-06] +[2024-05-17 14:55:10,482] - INFO: Evaluate at epoch 3215! +[2024-05-17 14:55:14,198] - INFO: Eval PSNR (max): 38.010 (2985) SSIM (max): 0.9609 (2560) +[2024-05-17 14:55:14,199] - INFO: Eval PSNR (current): 37.987 (3215) SSIM (current): 0.9608 (3215) +[2024-05-17 14:55:14,199] - INFO: Evaluation over. +[2024-05-17 14:55:31,209] - INFO: Epoch 3216/9999, Iter 160760: Loss = 0.009438593871891499, lr = [6.25e-06] +[2024-05-17 14:55:53,656] - INFO: Epoch 3216/9999, Iter 160780: Loss = 0.011820565909147263, lr = [6.25e-06] +[2024-05-17 14:56:16,812] - INFO: Epoch 3217/9999, Iter 160800: Loss = 0.012767177075147629, lr = [6.25e-06] +[2024-05-17 14:56:34,128] - INFO: Epoch 3217/9999, Iter 160820: Loss = 0.014942139387130737, lr = [6.25e-06] +[2024-05-17 14:56:51,660] - INFO: Epoch 3217/9999, Iter 160840: Loss = 0.01314642932265997, lr = [6.25e-06] +[2024-05-17 14:57:10,728] - INFO: Epoch 3218/9999, Iter 160860: Loss = 0.009353394620120525, lr = [6.25e-06] +[2024-05-17 14:57:29,272] - INFO: Epoch 3218/9999, Iter 160880: Loss = 0.015885470435023308, lr = [6.25e-06] +[2024-05-17 14:57:47,982] - INFO: Epoch 3219/9999, Iter 160900: Loss = 0.014501089230179787, lr = [6.25e-06] +[2024-05-17 14:58:07,062] - INFO: Epoch 3219/9999, Iter 160920: Loss = 0.018695596605539322, lr = [6.25e-06] +[2024-05-17 14:58:28,414] - INFO: Epoch 3219/9999, Iter 160940: Loss = 0.010626398026943207, lr = [6.25e-06] +[2024-05-17 14:58:52,397] - INFO: Epoch 3220/9999, Iter 160960: Loss = 0.012669709511101246, lr = [6.25e-06] +[2024-05-17 14:59:12,501] - INFO: Epoch 3220/9999, Iter 160980: Loss = 0.010487204417586327, lr = [6.25e-06] +[2024-05-17 14:59:34,101] - INFO: Evaluate at epoch 3220! +[2024-05-17 14:59:37,855] - INFO: Eval PSNR (max): 38.010 (2985) SSIM (max): 0.9609 (2560) +[2024-05-17 14:59:37,855] - INFO: Eval PSNR (current): 37.999 (3220) SSIM (current): 0.9608 (3220) +[2024-05-17 14:59:37,855] - INFO: Evaluation over. +[2024-05-17 14:59:44,032] - INFO: Epoch 3221/9999, Iter 161000: Loss = 0.00920089054852724, lr = [6.25e-06] +[2024-05-17 15:00:02,356] - INFO: Epoch 3221/9999, Iter 161020: Loss = 0.009488476440310478, lr = [6.25e-06] +[2024-05-17 15:00:20,747] - INFO: Epoch 3221/9999, Iter 161040: Loss = 0.018524659797549248, lr = [6.25e-06] +[2024-05-17 15:00:41,453] - INFO: Epoch 3222/9999, Iter 161060: Loss = 0.01301508117467165, lr = [6.25e-06] +[2024-05-17 15:01:00,087] - INFO: Epoch 3222/9999, Iter 161080: Loss = 0.011343667283654213, lr = [6.25e-06] +[2024-05-17 15:01:19,896] - INFO: Epoch 3223/9999, Iter 161100: Loss = 0.009782038629055023, lr = [6.25e-06] +[2024-05-17 15:01:38,039] - INFO: Epoch 3223/9999, Iter 161120: Loss = 0.012413155287504196, lr = [6.25e-06] +[2024-05-17 15:01:56,024] - INFO: Epoch 3223/9999, Iter 161140: Loss = 0.010700082406401634, lr = [6.25e-06] +[2024-05-17 15:02:14,527] - INFO: Epoch 3224/9999, Iter 161160: Loss = 0.008992484770715237, lr = [6.25e-06] +[2024-05-17 15:02:32,712] - INFO: Epoch 3224/9999, Iter 161180: Loss = 0.01562429964542389, lr = [6.25e-06] +[2024-05-17 15:02:52,388] - INFO: Epoch 3225/9999, Iter 161200: Loss = 0.013626016676425934, lr = [6.25e-06] +[2024-05-17 15:03:11,306] - INFO: Epoch 3225/9999, Iter 161220: Loss = 0.013063350692391396, lr = [6.25e-06] +[2024-05-17 15:03:28,903] - INFO: Epoch 3225/9999, Iter 161240: Loss = 0.014713774435222149, lr = [6.25e-06] +[2024-05-17 15:03:36,354] - INFO: Evaluate at epoch 3225! +[2024-05-17 15:03:39,987] - INFO: Eval PSNR (max): 38.010 (2985) SSIM (max): 0.9609 (2560) +[2024-05-17 15:03:39,988] - INFO: Eval PSNR (current): 38.002 (3225) SSIM (current): 0.9608 (3225) +[2024-05-17 15:03:39,988] - INFO: Evaluation over. +[2024-05-17 15:03:55,226] - INFO: Epoch 3226/9999, Iter 161260: Loss = 0.0086434381082654, lr = [6.25e-06] +[2024-05-17 15:04:12,468] - INFO: Epoch 3226/9999, Iter 161280: Loss = 0.008289694786071777, lr = [6.25e-06] +[2024-05-17 15:04:31,647] - INFO: Epoch 3227/9999, Iter 161300: Loss = 0.018406784161925316, lr = [6.25e-06] +[2024-05-17 15:04:49,643] - INFO: Epoch 3227/9999, Iter 161320: Loss = 0.013439750298857689, lr = [6.25e-06] +[2024-05-17 15:05:08,019] - INFO: Epoch 3227/9999, Iter 161340: Loss = 0.012414218857884407, lr = [6.25e-06] +[2024-05-17 15:05:27,044] - INFO: Epoch 3228/9999, Iter 161360: Loss = 0.016506407409906387, lr = [6.25e-06] +[2024-05-17 15:05:45,178] - INFO: Epoch 3228/9999, Iter 161380: Loss = 0.014671224169433117, lr = [6.25e-06] +[2024-05-17 15:06:04,146] - INFO: Epoch 3229/9999, Iter 161400: Loss = 0.010413371957838535, lr = [6.25e-06] +[2024-05-17 15:06:22,732] - INFO: Epoch 3229/9999, Iter 161420: Loss = 0.009762763045728207, lr = [6.25e-06] +[2024-05-17 15:06:43,573] - INFO: Epoch 3229/9999, Iter 161440: Loss = 0.014479029923677444, lr = [6.25e-06] +[2024-05-17 15:07:04,601] - INFO: Epoch 3230/9999, Iter 161460: Loss = 0.008431424386799335, lr = [6.25e-06] +[2024-05-17 15:07:22,851] - INFO: Epoch 3230/9999, Iter 161480: Loss = 0.010965882800519466, lr = [6.25e-06] +[2024-05-17 15:07:41,656] - INFO: Evaluate at epoch 3230! +[2024-05-17 15:07:45,164] - INFO: Eval PSNR (max): 38.010 (2985) SSIM (max): 0.9609 (2560) +[2024-05-17 15:07:45,164] - INFO: Eval PSNR (current): 37.996 (3230) SSIM (current): 0.9608 (3230) +[2024-05-17 15:07:45,164] - INFO: Evaluation over. +[2024-05-17 15:07:51,264] - INFO: Epoch 3231/9999, Iter 161500: Loss = 0.015794146806001663, lr = [6.25e-06] +[2024-05-17 15:08:08,489] - INFO: Epoch 3231/9999, Iter 161520: Loss = 0.01802775450050831, lr = [6.25e-06] +[2024-05-17 15:08:26,456] - INFO: Epoch 3231/9999, Iter 161540: Loss = 0.010876159183681011, lr = [6.25e-06] +[2024-05-17 15:08:45,964] - INFO: Epoch 3232/9999, Iter 161560: Loss = 0.013459717854857445, lr = [6.25e-06] +[2024-05-17 15:09:04,126] - INFO: Epoch 3232/9999, Iter 161580: Loss = 0.013025493361055851, lr = [6.25e-06] +[2024-05-17 15:09:23,181] - INFO: Epoch 3233/9999, Iter 161600: Loss = 0.01984339766204357, lr = [6.25e-06] +[2024-05-17 15:09:41,474] - INFO: Epoch 3233/9999, Iter 161620: Loss = 0.011799749918282032, lr = [6.25e-06] +[2024-05-17 15:09:59,874] - INFO: Epoch 3233/9999, Iter 161640: Loss = 0.014627374708652496, lr = [6.25e-06] +[2024-05-17 15:10:18,656] - INFO: Epoch 3234/9999, Iter 161660: Loss = 0.017905186861753464, lr = [6.25e-06] +[2024-05-17 15:10:36,317] - INFO: Epoch 3234/9999, Iter 161680: Loss = 0.012024568393826485, lr = [6.25e-06] +[2024-05-17 15:10:55,875] - INFO: Epoch 3235/9999, Iter 161700: Loss = 0.011891896836459637, lr = [6.25e-06] +[2024-05-17 15:11:13,412] - INFO: Epoch 3235/9999, Iter 161720: Loss = 0.017924422398209572, lr = [6.25e-06] +[2024-05-17 15:11:30,476] - INFO: Epoch 3235/9999, Iter 161740: Loss = 0.01583867333829403, lr = [6.25e-06] +[2024-05-17 15:11:39,365] - INFO: Evaluate at epoch 3235! +[2024-05-17 15:11:42,987] - INFO: Eval PSNR (max): 38.010 (2985) SSIM (max): 0.9609 (2560) +[2024-05-17 15:11:42,987] - INFO: Eval PSNR (current): 38.001 (3235) SSIM (current): 0.9608 (3235) +[2024-05-17 15:11:42,987] - INFO: Evaluation over. +[2024-05-17 15:11:58,702] - INFO: Epoch 3236/9999, Iter 161760: Loss = 0.008855605497956276, lr = [6.25e-06] +[2024-05-17 15:12:17,739] - INFO: Epoch 3236/9999, Iter 161780: Loss = 0.014259444549679756, lr = [6.25e-06] +[2024-05-17 15:12:39,355] - INFO: Epoch 3237/9999, Iter 161800: Loss = 0.010026154108345509, lr = [6.25e-06] +[2024-05-17 15:12:57,772] - INFO: Epoch 3237/9999, Iter 161820: Loss = 0.01393670029938221, lr = [6.25e-06] +[2024-05-17 15:13:16,360] - INFO: Epoch 3237/9999, Iter 161840: Loss = 0.010578091256320477, lr = [6.25e-06] +[2024-05-17 15:13:35,256] - INFO: Epoch 3238/9999, Iter 161860: Loss = 0.009494180791079998, lr = [6.25e-06] +[2024-05-17 15:13:52,733] - INFO: Epoch 3238/9999, Iter 161880: Loss = 0.021774644032120705, lr = [6.25e-06] +[2024-05-17 15:14:11,900] - INFO: Epoch 3239/9999, Iter 161900: Loss = 0.013033111579716206, lr = [6.25e-06] +[2024-05-17 15:14:30,231] - INFO: Epoch 3239/9999, Iter 161920: Loss = 0.011562985368072987, lr = [6.25e-06] +[2024-05-17 15:14:50,479] - INFO: Epoch 3239/9999, Iter 161940: Loss = 0.013460105285048485, lr = [6.25e-06] +[2024-05-17 15:15:10,838] - INFO: Epoch 3240/9999, Iter 161960: Loss = 0.011500276625156403, lr = [6.25e-06] +[2024-05-17 15:15:30,021] - INFO: Epoch 3240/9999, Iter 161980: Loss = 0.011262823827564716, lr = [6.25e-06] +[2024-05-17 15:15:47,902] - INFO: Evaluate at epoch 3240! +[2024-05-17 15:15:51,463] - INFO: Eval PSNR (max): 38.010 (2985) SSIM (max): 0.9609 (2560) +[2024-05-17 15:15:51,464] - INFO: Eval PSNR (current): 38.006 (3240) SSIM (current): 0.9608 (3240) +[2024-05-17 15:15:51,464] - INFO: Evaluation over. +[2024-05-17 15:15:57,580] - INFO: Epoch 3241/9999, Iter 162000: Loss = 0.00994133297353983, lr = [6.25e-06] +[2024-05-17 15:16:16,040] - INFO: Epoch 3241/9999, Iter 162020: Loss = 0.01286944467574358, lr = [6.25e-06] +[2024-05-17 15:16:33,912] - INFO: Epoch 3241/9999, Iter 162040: Loss = 0.013729115016758442, lr = [6.25e-06] +[2024-05-17 15:16:52,412] - INFO: Epoch 3242/9999, Iter 162060: Loss = 0.013753296807408333, lr = [6.25e-06] +[2024-05-17 15:17:09,624] - INFO: Epoch 3242/9999, Iter 162080: Loss = 0.009764640592038631, lr = [6.25e-06] +[2024-05-17 15:17:28,879] - INFO: Epoch 3243/9999, Iter 162100: Loss = 0.008308760821819305, lr = [6.25e-06] +[2024-05-17 15:17:46,623] - INFO: Epoch 3243/9999, Iter 162120: Loss = 0.015419191680848598, lr = [6.25e-06] +[2024-05-17 15:18:05,009] - INFO: Epoch 3243/9999, Iter 162140: Loss = 0.01033374760299921, lr = [6.25e-06] +[2024-05-17 15:18:24,188] - INFO: Epoch 3244/9999, Iter 162160: Loss = 0.011956953443586826, lr = [6.25e-06] +[2024-05-17 15:18:47,410] - INFO: Epoch 3244/9999, Iter 162180: Loss = 0.011161627247929573, lr = [6.25e-06] +[2024-05-17 15:19:10,431] - INFO: Epoch 3245/9999, Iter 162200: Loss = 0.008512311615049839, lr = [6.25e-06] +[2024-05-17 15:19:29,704] - INFO: Epoch 3245/9999, Iter 162220: Loss = 0.013262733817100525, lr = [6.25e-06] +[2024-05-17 15:19:51,204] - INFO: Epoch 3245/9999, Iter 162240: Loss = 0.010229063220322132, lr = [6.25e-06] +[2024-05-17 15:20:01,137] - INFO: Evaluate at epoch 3245! +[2024-05-17 15:20:04,927] - INFO: Eval PSNR (max): 38.010 (2985) SSIM (max): 0.9609 (2560) +[2024-05-17 15:20:04,928] - INFO: Eval PSNR (current): 37.991 (3245) SSIM (current): 0.9608 (3245) +[2024-05-17 15:20:04,928] - INFO: Evaluation over. +[2024-05-17 15:20:20,574] - INFO: Epoch 3246/9999, Iter 162260: Loss = 0.010445656254887581, lr = [6.25e-06] +[2024-05-17 15:20:41,257] - INFO: Epoch 3246/9999, Iter 162280: Loss = 0.01145300641655922, lr = [6.25e-06] +[2024-05-17 15:21:02,187] - INFO: Epoch 3247/9999, Iter 162300: Loss = 0.01298042107373476, lr = [6.25e-06] +[2024-05-17 15:21:20,541] - INFO: Epoch 3247/9999, Iter 162320: Loss = 0.015415200963616371, lr = [6.25e-06] +[2024-05-17 15:21:38,809] - INFO: Epoch 3247/9999, Iter 162340: Loss = 0.014309597201645374, lr = [6.25e-06] +[2024-05-17 15:21:57,935] - INFO: Epoch 3248/9999, Iter 162360: Loss = 0.00815429724752903, lr = [6.25e-06] +[2024-05-17 15:22:15,834] - INFO: Epoch 3248/9999, Iter 162380: Loss = 0.009852058254182339, lr = [6.25e-06] +[2024-05-17 15:22:35,334] - INFO: Epoch 3249/9999, Iter 162400: Loss = 0.01523988414555788, lr = [6.25e-06] +[2024-05-17 15:22:53,535] - INFO: Epoch 3249/9999, Iter 162420: Loss = 0.009290194138884544, lr = [6.25e-06] +[2024-05-17 15:23:11,398] - INFO: Epoch 3249/9999, Iter 162440: Loss = 0.010559354908764362, lr = [6.25e-06] +[2024-05-17 15:23:30,193] - INFO: Epoch 3250/9999, Iter 162460: Loss = 0.012928973883390427, lr = [6.25e-06] +[2024-05-17 15:23:47,668] - INFO: Epoch 3250/9999, Iter 162480: Loss = 0.011434802785515785, lr = [6.25e-06] +[2024-05-17 15:24:05,431] - INFO: Evaluate at epoch 3250! +[2024-05-17 15:24:09,147] - INFO: Eval PSNR (max): 38.010 (2985) SSIM (max): 0.9609 (2560) +[2024-05-17 15:24:09,148] - INFO: Eval PSNR (current): 38.002 (3250) SSIM (current): 0.9608 (3250) +[2024-05-17 15:24:09,148] - INFO: Evaluation over. +[2024-05-17 15:24:15,200] - INFO: Epoch 3251/9999, Iter 162500: Loss = 0.015736544504761696, lr = [6.25e-06] +[2024-05-17 15:24:32,750] - INFO: Epoch 3251/9999, Iter 162520: Loss = 0.016258465126156807, lr = [6.25e-06] +[2024-05-17 15:24:50,486] - INFO: Epoch 3251/9999, Iter 162540: Loss = 0.0114984679967165, lr = [6.25e-06] +[2024-05-17 15:25:09,556] - INFO: Epoch 3252/9999, Iter 162560: Loss = 0.01376723125576973, lr = [6.25e-06] +[2024-05-17 15:25:27,147] - INFO: Epoch 3252/9999, Iter 162580: Loss = 0.01587712951004505, lr = [6.25e-06] +[2024-05-17 15:25:45,913] - INFO: Epoch 3253/9999, Iter 162600: Loss = 0.010138670913875103, lr = [6.25e-06] +[2024-05-17 15:26:03,588] - INFO: Epoch 3253/9999, Iter 162620: Loss = 0.013603470288217068, lr = [6.25e-06] +[2024-05-17 15:26:21,874] - INFO: Epoch 3253/9999, Iter 162640: Loss = 0.011881828308105469, lr = [6.25e-06] +[2024-05-17 15:26:40,412] - INFO: Epoch 3254/9999, Iter 162660: Loss = 0.010858060792088509, lr = [6.25e-06] +[2024-05-17 15:26:57,885] - INFO: Epoch 3254/9999, Iter 162680: Loss = 0.007764205802232027, lr = [6.25e-06] +[2024-05-17 15:27:16,989] - INFO: Epoch 3255/9999, Iter 162700: Loss = 0.017205476760864258, lr = [6.25e-06] +[2024-05-17 15:27:35,651] - INFO: Epoch 3255/9999, Iter 162720: Loss = 0.013118206523358822, lr = [6.25e-06] +[2024-05-17 15:27:53,677] - INFO: Epoch 3255/9999, Iter 162740: Loss = 0.01296270452439785, lr = [6.25e-06] +[2024-05-17 15:28:01,079] - INFO: Evaluate at epoch 3255! +[2024-05-17 15:28:04,933] - INFO: Eval PSNR (max): 38.010 (2985) SSIM (max): 0.9609 (2560) +[2024-05-17 15:28:04,934] - INFO: Eval PSNR (current): 38.001 (3255) SSIM (current): 0.9608 (3255) +[2024-05-17 15:28:04,934] - INFO: Evaluation over. +[2024-05-17 15:28:20,214] - INFO: Epoch 3256/9999, Iter 162760: Loss = 0.012315744534134865, lr = [6.25e-06] +[2024-05-17 15:28:38,932] - INFO: Epoch 3256/9999, Iter 162780: Loss = 0.010552171617746353, lr = [6.25e-06] +[2024-05-17 15:28:57,785] - INFO: Epoch 3257/9999, Iter 162800: Loss = 0.011048631742596626, lr = [6.25e-06] +[2024-05-17 15:29:15,741] - INFO: Epoch 3257/9999, Iter 162820: Loss = 0.013550205156207085, lr = [6.25e-06] +[2024-05-17 15:29:34,040] - INFO: Epoch 3257/9999, Iter 162840: Loss = 0.01801019161939621, lr = [6.25e-06] +[2024-05-17 15:29:53,369] - INFO: Epoch 3258/9999, Iter 162860: Loss = 0.01194588840007782, lr = [6.25e-06] +[2024-05-17 15:30:11,335] - INFO: Epoch 3258/9999, Iter 162880: Loss = 0.014309321530163288, lr = [6.25e-06] +[2024-05-17 15:30:30,708] - INFO: Epoch 3259/9999, Iter 162900: Loss = 0.011240726336836815, lr = [6.25e-06] +[2024-05-17 15:30:49,316] - INFO: Epoch 3259/9999, Iter 162920: Loss = 0.014229068532586098, lr = [6.25e-06] +[2024-05-17 15:31:07,241] - INFO: Epoch 3259/9999, Iter 162940: Loss = 0.01832767389714718, lr = [6.25e-06] +[2024-05-17 15:31:25,604] - INFO: Epoch 3260/9999, Iter 162960: Loss = 0.011438477784395218, lr = [6.25e-06] +[2024-05-17 15:31:43,134] - INFO: Epoch 3260/9999, Iter 162980: Loss = 0.013116907328367233, lr = [6.25e-06] +[2024-05-17 15:31:59,992] - INFO: Evaluate at epoch 3260! +[2024-05-17 15:32:03,821] - INFO: Eval PSNR (max): 38.010 (2985) SSIM (max): 0.9609 (2560) +[2024-05-17 15:32:03,822] - INFO: Eval PSNR (current): 37.991 (3260) SSIM (current): 0.9608 (3260) +[2024-05-17 15:32:03,822] - INFO: Evaluation over. +[2024-05-17 15:32:09,661] - INFO: Epoch 3261/9999, Iter 163000: Loss = 0.014604441821575165, lr = [6.25e-06] +[2024-05-17 15:32:27,429] - INFO: Epoch 3261/9999, Iter 163020: Loss = 0.013933226466178894, lr = [6.25e-06] +[2024-05-17 15:32:44,806] - INFO: Epoch 3261/9999, Iter 163040: Loss = 0.013906066305935383, lr = [6.25e-06] +[2024-05-17 15:33:03,917] - INFO: Epoch 3262/9999, Iter 163060: Loss = 0.009511892683804035, lr = [6.25e-06] +[2024-05-17 15:33:21,532] - INFO: Epoch 3262/9999, Iter 163080: Loss = 0.008073183707892895, lr = [6.25e-06] +[2024-05-17 15:33:41,077] - INFO: Epoch 3263/9999, Iter 163100: Loss = 0.015116673894226551, lr = [6.25e-06] +[2024-05-17 15:33:58,926] - INFO: Epoch 3263/9999, Iter 163120: Loss = 0.010547582991421223, lr = [6.25e-06] +[2024-05-17 15:34:16,885] - INFO: Epoch 3263/9999, Iter 163140: Loss = 0.012558944523334503, lr = [6.25e-06] +[2024-05-17 15:34:35,856] - INFO: Epoch 3264/9999, Iter 163160: Loss = 0.015727264806628227, lr = [6.25e-06] +[2024-05-17 15:34:53,040] - INFO: Epoch 3264/9999, Iter 163180: Loss = 0.011139576323330402, lr = [6.25e-06] +[2024-05-17 15:35:12,633] - INFO: Epoch 3265/9999, Iter 163200: Loss = 0.020119909197092056, lr = [6.25e-06] +[2024-05-17 15:35:29,869] - INFO: Epoch 3265/9999, Iter 163220: Loss = 0.014162613078951836, lr = [6.25e-06] +[2024-05-17 15:35:47,796] - INFO: Epoch 3265/9999, Iter 163240: Loss = 0.010868062265217304, lr = [6.25e-06] +[2024-05-17 15:35:55,651] - INFO: Evaluate at epoch 3265! +[2024-05-17 15:35:59,056] - INFO: Eval PSNR (max): 38.010 (2985) SSIM (max): 0.9609 (2560) +[2024-05-17 15:35:59,057] - INFO: Eval PSNR (current): 37.994 (3265) SSIM (current): 0.9608 (3265) +[2024-05-17 15:35:59,057] - INFO: Evaluation over. +[2024-05-17 15:36:13,572] - INFO: Epoch 3266/9999, Iter 163260: Loss = 0.017153553664684296, lr = [6.25e-06] +[2024-05-17 15:36:31,048] - INFO: Epoch 3266/9999, Iter 163280: Loss = 0.02039230242371559, lr = [6.25e-06] +[2024-05-17 15:36:49,951] - INFO: Epoch 3267/9999, Iter 163300: Loss = 0.012185740284621716, lr = [6.25e-06] +[2024-05-17 15:37:08,515] - INFO: Epoch 3267/9999, Iter 163320: Loss = 0.011569910682737827, lr = [6.25e-06] +[2024-05-17 15:37:26,202] - INFO: Epoch 3267/9999, Iter 163340: Loss = 0.013514405116438866, lr = [6.25e-06] +[2024-05-17 15:37:45,756] - INFO: Epoch 3268/9999, Iter 163360: Loss = 0.012887603603303432, lr = [6.25e-06] +[2024-05-17 15:38:04,004] - INFO: Epoch 3268/9999, Iter 163380: Loss = 0.019015982747077942, lr = [6.25e-06] +[2024-05-17 15:38:23,020] - INFO: Epoch 3269/9999, Iter 163400: Loss = 0.007665713783353567, lr = [6.25e-06] +[2024-05-17 15:38:40,744] - INFO: Epoch 3269/9999, Iter 163420: Loss = 0.012724149972200394, lr = [6.25e-06] +[2024-05-17 15:38:58,696] - INFO: Epoch 3269/9999, Iter 163440: Loss = 0.012245582416653633, lr = [6.25e-06] +[2024-05-17 15:39:18,176] - INFO: Epoch 3270/9999, Iter 163460: Loss = 0.01574856974184513, lr = [6.25e-06] +[2024-05-17 15:39:36,858] - INFO: Epoch 3270/9999, Iter 163480: Loss = 0.01323322206735611, lr = [6.25e-06] +[2024-05-17 15:39:53,329] - INFO: Evaluate at epoch 3270! +[2024-05-17 15:39:56,999] - INFO: Eval PSNR (max): 38.010 (2985) SSIM (max): 0.9609 (2560) +[2024-05-17 15:39:57,000] - INFO: Eval PSNR (current): 37.997 (3270) SSIM (current): 0.9608 (3270) +[2024-05-17 15:39:57,000] - INFO: Evaluation over. +[2024-05-17 15:40:03,094] - INFO: Epoch 3271/9999, Iter 163500: Loss = 0.015100856311619282, lr = [6.25e-06] +[2024-05-17 15:40:21,470] - INFO: Epoch 3271/9999, Iter 163520: Loss = 0.010771913453936577, lr = [6.25e-06] +[2024-05-17 15:40:38,807] - INFO: Epoch 3271/9999, Iter 163540: Loss = 0.015069360844790936, lr = [6.25e-06] +[2024-05-17 15:40:58,780] - INFO: Epoch 3272/9999, Iter 163560: Loss = 0.01355180237442255, lr = [6.25e-06] +[2024-05-17 15:41:16,834] - INFO: Epoch 3272/9999, Iter 163580: Loss = 0.009071063250303268, lr = [6.25e-06] +[2024-05-17 15:41:35,819] - INFO: Epoch 3273/9999, Iter 163600: Loss = 0.011552958749234676, lr = [6.25e-06] +[2024-05-17 15:41:53,064] - INFO: Epoch 3273/9999, Iter 163620: Loss = 0.011061099357903004, lr = [6.25e-06] +[2024-05-17 15:42:10,428] - INFO: Epoch 3273/9999, Iter 163640: Loss = 0.011193810030817986, lr = [6.25e-06] +[2024-05-17 15:42:29,384] - INFO: Epoch 3274/9999, Iter 163660: Loss = 0.012581655755639076, lr = [6.25e-06] +[2024-05-17 15:42:46,384] - INFO: Epoch 3274/9999, Iter 163680: Loss = 0.011156056076288223, lr = [6.25e-06] +[2024-05-17 15:43:06,136] - INFO: Epoch 3275/9999, Iter 163700: Loss = 0.01798785664141178, lr = [6.25e-06] +[2024-05-17 15:43:24,135] - INFO: Epoch 3275/9999, Iter 163720: Loss = 0.012718717567622662, lr = [6.25e-06] +[2024-05-17 15:43:41,960] - INFO: Epoch 3275/9999, Iter 163740: Loss = 0.007028286345303059, lr = [6.25e-06] +[2024-05-17 15:43:49,719] - INFO: Evaluate at epoch 3275! +[2024-05-17 15:43:53,383] - INFO: Eval PSNR (max): 38.010 (2985) SSIM (max): 0.9609 (2560) +[2024-05-17 15:43:53,384] - INFO: Eval PSNR (current): 37.996 (3275) SSIM (current): 0.9608 (3275) +[2024-05-17 15:43:53,384] - INFO: Evaluation over. +[2024-05-17 15:44:08,116] - INFO: Epoch 3276/9999, Iter 163760: Loss = 0.012643396854400635, lr = [6.25e-06] +[2024-05-17 15:44:26,084] - INFO: Epoch 3276/9999, Iter 163780: Loss = 0.01227144617587328, lr = [6.25e-06] +[2024-05-17 15:44:45,267] - INFO: Epoch 3277/9999, Iter 163800: Loss = 0.013105565682053566, lr = [6.25e-06] +[2024-05-17 15:45:03,340] - INFO: Epoch 3277/9999, Iter 163820: Loss = 0.012555829249322414, lr = [6.25e-06] +[2024-05-17 15:45:20,739] - INFO: Epoch 3277/9999, Iter 163840: Loss = 0.012585428543388844, lr = [6.25e-06] +[2024-05-17 15:45:40,224] - INFO: Epoch 3278/9999, Iter 163860: Loss = 0.015644272789359093, lr = [6.25e-06] +[2024-05-17 15:45:58,436] - INFO: Epoch 3278/9999, Iter 163880: Loss = 0.011679433286190033, lr = [6.25e-06] +[2024-05-17 15:46:17,455] - INFO: Epoch 3279/9999, Iter 163900: Loss = 0.015107179060578346, lr = [6.25e-06] +[2024-05-17 15:46:34,519] - INFO: Epoch 3279/9999, Iter 163920: Loss = 0.014762341044843197, lr = [6.25e-06] +[2024-05-17 15:46:52,691] - INFO: Epoch 3279/9999, Iter 163940: Loss = 0.006508205085992813, lr = [6.25e-06] +[2024-05-17 15:47:11,717] - INFO: Epoch 3280/9999, Iter 163960: Loss = 0.013285798020660877, lr = [6.25e-06] +[2024-05-17 15:47:29,131] - INFO: Epoch 3280/9999, Iter 163980: Loss = 0.008507882244884968, lr = [6.25e-06] +[2024-05-17 15:47:45,520] - INFO: Evaluate at epoch 3280! +[2024-05-17 15:47:56,847] - INFO: Eval PSNR (max): 38.013 (3280) SSIM (max): 0.9609 (3280) +[2024-05-17 15:47:56,847] - INFO: Eval PSNR (current): 38.013 (3280) SSIM (current): 0.9609 (3280) +[2024-05-17 15:47:56,847] - INFO: Evaluation over. +[2024-05-17 15:48:02,812] - INFO: Epoch 3281/9999, Iter 164000: Loss = 0.011670500040054321, lr = [6.25e-06] +[2024-05-17 15:48:20,760] - INFO: Epoch 3281/9999, Iter 164020: Loss = 0.013537071645259857, lr = [6.25e-06] +[2024-05-17 15:48:38,976] - INFO: Epoch 3281/9999, Iter 164040: Loss = 0.011067239567637444, lr = [6.25e-06] +[2024-05-17 15:48:57,902] - INFO: Epoch 3282/9999, Iter 164060: Loss = 0.013005073182284832, lr = [6.25e-06] +[2024-05-17 15:49:15,321] - INFO: Epoch 3282/9999, Iter 164080: Loss = 0.011259547434747219, lr = [6.25e-06] +[2024-05-17 15:49:34,359] - INFO: Epoch 3283/9999, Iter 164100: Loss = 0.015286099165678024, lr = [6.25e-06] +[2024-05-17 15:49:51,772] - INFO: Epoch 3283/9999, Iter 164120: Loss = 0.014579338021576405, lr = [6.25e-06] +[2024-05-17 15:50:09,088] - INFO: Epoch 3283/9999, Iter 164140: Loss = 0.011293678544461727, lr = [6.25e-06] +[2024-05-17 15:50:28,945] - INFO: Epoch 3284/9999, Iter 164160: Loss = 0.011099246330559254, lr = [6.25e-06] +[2024-05-17 15:50:47,076] - INFO: Epoch 3284/9999, Iter 164180: Loss = 0.0109845120459795, lr = [6.25e-06] +[2024-05-17 15:51:05,902] - INFO: Epoch 3285/9999, Iter 164200: Loss = 0.010307923890650272, lr = [6.25e-06] +[2024-05-17 15:51:23,272] - INFO: Epoch 3285/9999, Iter 164220: Loss = 0.013536142185330391, lr = [6.25e-06] +[2024-05-17 15:51:40,858] - INFO: Epoch 3285/9999, Iter 164240: Loss = 0.011182566173374653, lr = [6.25e-06] +[2024-05-17 15:51:48,884] - INFO: Evaluate at epoch 3285! +[2024-05-17 15:51:52,579] - INFO: Eval PSNR (max): 38.013 (3280) SSIM (max): 0.9609 (3280) +[2024-05-17 15:51:52,579] - INFO: Eval PSNR (current): 38.000 (3285) SSIM (current): 0.9608 (3285) +[2024-05-17 15:51:52,579] - INFO: Evaluation over. +[2024-05-17 15:52:07,296] - INFO: Epoch 3286/9999, Iter 164260: Loss = 0.014954286627471447, lr = [6.25e-06] +[2024-05-17 15:52:25,710] - INFO: Epoch 3286/9999, Iter 164280: Loss = 0.01543871033936739, lr = [6.25e-06] +[2024-05-17 15:52:44,858] - INFO: Epoch 3287/9999, Iter 164300: Loss = 0.010130089707672596, lr = [6.25e-06] +[2024-05-17 15:53:02,196] - INFO: Epoch 3287/9999, Iter 164320: Loss = 0.016043175011873245, lr = [6.25e-06] +[2024-05-17 15:53:19,938] - INFO: Epoch 3287/9999, Iter 164340: Loss = 0.014425313100218773, lr = [6.25e-06] +[2024-05-17 15:53:38,837] - INFO: Epoch 3288/9999, Iter 164360: Loss = 0.01752989925444126, lr = [6.25e-06] +[2024-05-17 15:53:56,280] - INFO: Epoch 3288/9999, Iter 164380: Loss = 0.013695565052330494, lr = [6.25e-06] +[2024-05-17 15:54:15,880] - INFO: Epoch 3289/9999, Iter 164400: Loss = 0.011005116626620293, lr = [6.25e-06] +[2024-05-17 15:54:32,932] - INFO: Epoch 3289/9999, Iter 164420: Loss = 0.015999482944607735, lr = [6.25e-06] +[2024-05-17 15:54:51,252] - INFO: Epoch 3289/9999, Iter 164440: Loss = 0.010465902276337147, lr = [6.25e-06] +[2024-05-17 15:55:10,463] - INFO: Epoch 3290/9999, Iter 164460: Loss = 0.012450909242033958, lr = [6.25e-06] +[2024-05-17 15:55:28,324] - INFO: Epoch 3290/9999, Iter 164480: Loss = 0.014033651910722256, lr = [6.25e-06] +[2024-05-17 15:55:44,721] - INFO: Evaluate at epoch 3290! +[2024-05-17 15:55:48,370] - INFO: Eval PSNR (max): 38.013 (3280) SSIM (max): 0.9609 (3280) +[2024-05-17 15:55:48,370] - INFO: Eval PSNR (current): 38.011 (3290) SSIM (current): 0.9609 (3290) +[2024-05-17 15:55:48,370] - INFO: Evaluation over. +[2024-05-17 15:55:54,481] - INFO: Epoch 3291/9999, Iter 164500: Loss = 0.018660642206668854, lr = [6.25e-06] +[2024-05-17 15:56:11,915] - INFO: Epoch 3291/9999, Iter 164520: Loss = 0.009478089399635792, lr = [6.25e-06] +[2024-05-17 15:56:29,668] - INFO: Epoch 3291/9999, Iter 164540: Loss = 0.011256419122219086, lr = [6.25e-06] +[2024-05-17 15:56:49,066] - INFO: Epoch 3292/9999, Iter 164560: Loss = 0.016840210184454918, lr = [6.25e-06] +[2024-05-17 15:57:07,810] - INFO: Epoch 3292/9999, Iter 164580: Loss = 0.008095613680779934, lr = [6.25e-06] +[2024-05-17 15:57:27,301] - INFO: Epoch 3293/9999, Iter 164600: Loss = 0.012929895892739296, lr = [6.25e-06] +[2024-05-17 15:57:44,384] - INFO: Epoch 3293/9999, Iter 164620: Loss = 0.012905147857964039, lr = [6.25e-06] +[2024-05-17 15:58:02,628] - INFO: Epoch 3293/9999, Iter 164640: Loss = 0.016870925202965736, lr = [6.25e-06] +[2024-05-17 15:58:21,920] - INFO: Epoch 3294/9999, Iter 164660: Loss = 0.011294437572360039, lr = [6.25e-06] +[2024-05-17 15:58:39,375] - INFO: Epoch 3294/9999, Iter 164680: Loss = 0.010694137774407864, lr = [6.25e-06] +[2024-05-17 15:58:58,695] - INFO: Epoch 3295/9999, Iter 164700: Loss = 0.009461785666644573, lr = [6.25e-06] +[2024-05-17 15:59:16,532] - INFO: Epoch 3295/9999, Iter 164720: Loss = 0.010634861886501312, lr = [6.25e-06] +[2024-05-17 15:59:35,037] - INFO: Epoch 3295/9999, Iter 164740: Loss = 0.019912375137209892, lr = [6.25e-06] +[2024-05-17 15:59:42,484] - INFO: Evaluate at epoch 3295! +[2024-05-17 15:59:46,075] - INFO: Eval PSNR (max): 38.013 (3280) SSIM (max): 0.9609 (3280) +[2024-05-17 15:59:46,076] - INFO: Eval PSNR (current): 38.001 (3295) SSIM (current): 0.9608 (3295) +[2024-05-17 15:59:46,076] - INFO: Evaluation over. +[2024-05-17 16:00:00,904] - INFO: Epoch 3296/9999, Iter 164760: Loss = 0.012033180333673954, lr = [6.25e-06] +[2024-05-17 16:00:19,442] - INFO: Epoch 3296/9999, Iter 164780: Loss = 0.013852174393832684, lr = [6.25e-06] +[2024-05-17 16:00:38,540] - INFO: Epoch 3297/9999, Iter 164800: Loss = 0.014133475720882416, lr = [6.25e-06] +[2024-05-17 16:00:56,466] - INFO: Epoch 3297/9999, Iter 164820: Loss = 0.015017235651612282, lr = [6.25e-06] +[2024-05-17 16:01:13,477] - INFO: Epoch 3297/9999, Iter 164840: Loss = 0.014728653244674206, lr = [6.25e-06] +[2024-05-17 16:01:33,225] - INFO: Epoch 3298/9999, Iter 164860: Loss = 0.01339693833142519, lr = [6.25e-06] +[2024-05-17 16:01:50,935] - INFO: Epoch 3298/9999, Iter 164880: Loss = 0.01544337347149849, lr = [6.25e-06] +[2024-05-17 16:02:09,697] - INFO: Epoch 3299/9999, Iter 164900: Loss = 0.01281834952533245, lr = [6.25e-06] +[2024-05-17 16:02:27,077] - INFO: Epoch 3299/9999, Iter 164920: Loss = 0.013578600250184536, lr = [6.25e-06] +[2024-05-17 16:02:45,356] - INFO: Epoch 3299/9999, Iter 164940: Loss = 0.01612110435962677, lr = [6.25e-06] +[2024-05-17 16:03:04,180] - INFO: Epoch 3300/9999, Iter 164960: Loss = 0.014059651643037796, lr = [6.25e-06] +[2024-05-17 16:03:22,462] - INFO: Epoch 3300/9999, Iter 164980: Loss = 0.014782106503844261, lr = [6.25e-06] +[2024-05-17 16:03:39,972] - INFO: Evaluate at epoch 3300! +[2024-05-17 16:03:43,441] - INFO: Eval PSNR (max): 38.013 (3280) SSIM (max): 0.9609 (3280) +[2024-05-17 16:03:43,441] - INFO: Eval PSNR (current): 38.009 (3300) SSIM (current): 0.9608 (3300) +[2024-05-17 16:03:43,442] - INFO: Evaluation over. +[2024-05-17 16:03:49,448] - INFO: Epoch 3301/9999, Iter 165000: Loss = 0.016240166500210762, lr = [6.25e-06] +[2024-05-17 16:04:07,957] - INFO: Epoch 3301/9999, Iter 165020: Loss = 0.011312903836369514, lr = [6.25e-06] +[2024-05-17 16:04:26,293] - INFO: Epoch 3301/9999, Iter 165040: Loss = 0.019741592928767204, lr = [6.25e-06] +[2024-05-17 16:04:44,903] - INFO: Epoch 3302/9999, Iter 165060: Loss = 0.011571747250854969, lr = [6.25e-06] +[2024-05-17 16:05:02,695] - INFO: Epoch 3302/9999, Iter 165080: Loss = 0.018520163372159004, lr = [6.25e-06] +[2024-05-17 16:05:22,897] - INFO: Epoch 3303/9999, Iter 165100: Loss = 0.014100155793130398, lr = [6.25e-06] +[2024-05-17 16:05:40,100] - INFO: Epoch 3303/9999, Iter 165120: Loss = 0.015653569251298904, lr = [6.25e-06] +[2024-05-17 16:05:57,876] - INFO: Epoch 3303/9999, Iter 165140: Loss = 0.01505953073501587, lr = [6.25e-06] +[2024-05-17 16:06:17,184] - INFO: Epoch 3304/9999, Iter 165160: Loss = 0.01734517514705658, lr = [6.25e-06] +[2024-05-17 16:06:34,848] - INFO: Epoch 3304/9999, Iter 165180: Loss = 0.010397715494036674, lr = [6.25e-06] +[2024-05-17 16:06:54,240] - INFO: Epoch 3305/9999, Iter 165200: Loss = 0.012749386951327324, lr = [6.25e-06] +[2024-05-17 16:07:12,880] - INFO: Epoch 3305/9999, Iter 165220: Loss = 0.01949298568069935, lr = [6.25e-06] +[2024-05-17 16:07:30,278] - INFO: Epoch 3305/9999, Iter 165240: Loss = 0.012115465477108955, lr = [6.25e-06] +[2024-05-17 16:07:38,365] - INFO: Evaluate at epoch 3305! +[2024-05-17 16:07:41,886] - INFO: Eval PSNR (max): 38.013 (3280) SSIM (max): 0.9609 (3280) +[2024-05-17 16:07:41,887] - INFO: Eval PSNR (current): 38.004 (3305) SSIM (current): 0.9608 (3305) +[2024-05-17 16:07:41,887] - INFO: Evaluation over. +[2024-05-17 16:07:56,665] - INFO: Epoch 3306/9999, Iter 165260: Loss = 0.013197342865169048, lr = [6.25e-06] +[2024-05-17 16:08:14,620] - INFO: Epoch 3306/9999, Iter 165280: Loss = 0.011406865902245045, lr = [6.25e-06] +[2024-05-17 16:08:34,002] - INFO: Epoch 3307/9999, Iter 165300: Loss = 0.013592294417321682, lr = [6.25e-06] +[2024-05-17 16:08:50,548] - INFO: Epoch 3307/9999, Iter 165320: Loss = 0.014767228625714779, lr = [6.25e-06] +[2024-05-17 16:09:08,930] - INFO: Epoch 3307/9999, Iter 165340: Loss = 0.009715164080262184, lr = [6.25e-06] +[2024-05-17 16:09:28,376] - INFO: Epoch 3308/9999, Iter 165360: Loss = 0.011287416331470013, lr = [6.25e-06] +[2024-05-17 16:09:45,952] - INFO: Epoch 3308/9999, Iter 165380: Loss = 0.012139448896050453, lr = [6.25e-06] +[2024-05-17 16:10:05,212] - INFO: Epoch 3309/9999, Iter 165400: Loss = 0.016203878447413445, lr = [6.25e-06] +[2024-05-17 16:10:23,238] - INFO: Epoch 3309/9999, Iter 165420: Loss = 0.008049318566918373, lr = [6.25e-06] +[2024-05-17 16:10:41,196] - INFO: Epoch 3309/9999, Iter 165440: Loss = 0.014735144563019276, lr = [6.25e-06] +[2024-05-17 16:11:00,079] - INFO: Epoch 3310/9999, Iter 165460: Loss = 0.01577148213982582, lr = [6.25e-06] +[2024-05-17 16:11:18,092] - INFO: Epoch 3310/9999, Iter 165480: Loss = 0.010855547152459621, lr = [6.25e-06] +[2024-05-17 16:11:34,756] - INFO: Evaluate at epoch 3310! +[2024-05-17 16:11:42,641] - INFO: Eval PSNR (max): 38.013 (3310) SSIM (max): 0.9609 (3280) +[2024-05-17 16:11:42,641] - INFO: Eval PSNR (current): 38.013 (3310) SSIM (current): 0.9608 (3310) +[2024-05-17 16:11:42,641] - INFO: Evaluation over. +[2024-05-17 16:11:48,693] - INFO: Epoch 3311/9999, Iter 165500: Loss = 0.01405408512800932, lr = [6.25e-06] +[2024-05-17 16:12:06,666] - INFO: Epoch 3311/9999, Iter 165520: Loss = 0.01819373294711113, lr = [6.25e-06] +[2024-05-17 16:12:25,031] - INFO: Epoch 3311/9999, Iter 165540: Loss = 0.008326432667672634, lr = [6.25e-06] +[2024-05-17 16:12:44,031] - INFO: Epoch 3312/9999, Iter 165560: Loss = 0.01797914318740368, lr = [6.25e-06] +[2024-05-17 16:13:01,676] - INFO: Epoch 3312/9999, Iter 165580: Loss = 0.014170411974191666, lr = [6.25e-06] +[2024-05-17 16:13:22,011] - INFO: Epoch 3313/9999, Iter 165600: Loss = 0.013554067350924015, lr = [6.25e-06] +[2024-05-17 16:13:39,794] - INFO: Epoch 3313/9999, Iter 165620: Loss = 0.013742108829319477, lr = [6.25e-06] +[2024-05-17 16:13:57,516] - INFO: Epoch 3313/9999, Iter 165640: Loss = 0.021173395216464996, lr = [6.25e-06] +[2024-05-17 16:14:16,934] - INFO: Epoch 3314/9999, Iter 165660: Loss = 0.01227071788161993, lr = [6.25e-06] +[2024-05-17 16:14:35,204] - INFO: Epoch 3314/9999, Iter 165680: Loss = 0.011158865876495838, lr = [6.25e-06] +[2024-05-17 16:14:54,943] - INFO: Epoch 3315/9999, Iter 165700: Loss = 0.009245852939784527, lr = [6.25e-06] +[2024-05-17 16:15:12,664] - INFO: Epoch 3315/9999, Iter 165720: Loss = 0.011647875420749187, lr = [6.25e-06] +[2024-05-17 16:15:29,749] - INFO: Epoch 3315/9999, Iter 165740: Loss = 0.011974381282925606, lr = [6.25e-06] +[2024-05-17 16:15:37,811] - INFO: Evaluate at epoch 3315! +[2024-05-17 16:15:41,305] - INFO: Eval PSNR (max): 38.013 (3310) SSIM (max): 0.9609 (3280) +[2024-05-17 16:15:41,305] - INFO: Eval PSNR (current): 37.992 (3315) SSIM (current): 0.9608 (3315) +[2024-05-17 16:15:41,305] - INFO: Evaluation over. +[2024-05-17 16:15:56,296] - INFO: Epoch 3316/9999, Iter 165760: Loss = 0.009423191659152508, lr = [6.25e-06] +[2024-05-17 16:16:14,730] - INFO: Epoch 3316/9999, Iter 165780: Loss = 0.018311673775315285, lr = [6.25e-06] +[2024-05-17 16:16:34,269] - INFO: Epoch 3317/9999, Iter 165800: Loss = 0.011818062514066696, lr = [6.25e-06] +[2024-05-17 16:16:52,289] - INFO: Epoch 3317/9999, Iter 165820: Loss = 0.013240667060017586, lr = [6.25e-06] +[2024-05-17 16:17:10,296] - INFO: Epoch 3317/9999, Iter 165840: Loss = 0.016661714762449265, lr = [6.25e-06] +[2024-05-17 16:17:28,988] - INFO: Epoch 3318/9999, Iter 165860: Loss = 0.011482967995107174, lr = [6.25e-06] +[2024-05-17 16:17:46,928] - INFO: Epoch 3318/9999, Iter 165880: Loss = 0.006381428334861994, lr = [6.25e-06] +[2024-05-17 16:18:06,280] - INFO: Epoch 3319/9999, Iter 165900: Loss = 0.013626966625452042, lr = [6.25e-06] +[2024-05-17 16:18:24,024] - INFO: Epoch 3319/9999, Iter 165920: Loss = 0.018662771210074425, lr = [6.25e-06] +[2024-05-17 16:18:41,961] - INFO: Epoch 3319/9999, Iter 165940: Loss = 0.009704415686428547, lr = [6.25e-06] +[2024-05-17 16:19:01,259] - INFO: Epoch 3320/9999, Iter 165960: Loss = 0.013012225739657879, lr = [6.25e-06] +[2024-05-17 16:19:19,483] - INFO: Epoch 3320/9999, Iter 165980: Loss = 0.011618942953646183, lr = [6.25e-06] +[2024-05-17 16:19:36,269] - INFO: Evaluate at epoch 3320! +[2024-05-17 16:19:39,783] - INFO: Eval PSNR (max): 38.013 (3310) SSIM (max): 0.9609 (3280) +[2024-05-17 16:19:39,783] - INFO: Eval PSNR (current): 38.011 (3320) SSIM (current): 0.9608 (3320) +[2024-05-17 16:19:39,783] - INFO: Evaluation over. +[2024-05-17 16:19:45,833] - INFO: Epoch 3321/9999, Iter 166000: Loss = 0.014112595468759537, lr = [6.25e-06] +[2024-05-17 16:20:03,820] - INFO: Epoch 3321/9999, Iter 166020: Loss = 0.011615222319960594, lr = [6.25e-06] +[2024-05-17 16:20:21,946] - INFO: Epoch 3321/9999, Iter 166040: Loss = 0.014961129985749722, lr = [6.25e-06] +[2024-05-17 16:20:40,423] - INFO: Epoch 3322/9999, Iter 166060: Loss = 0.017916178330779076, lr = [6.25e-06] +[2024-05-17 16:20:58,070] - INFO: Epoch 3322/9999, Iter 166080: Loss = 0.006609618663787842, lr = [6.25e-06] +[2024-05-17 16:21:18,044] - INFO: Epoch 3323/9999, Iter 166100: Loss = 0.009235108271241188, lr = [6.25e-06] +[2024-05-17 16:21:35,841] - INFO: Epoch 3323/9999, Iter 166120: Loss = 0.01119841169565916, lr = [6.25e-06] +[2024-05-17 16:21:53,161] - INFO: Epoch 3323/9999, Iter 166140: Loss = 0.01142891589552164, lr = [6.25e-06] +[2024-05-17 16:22:12,724] - INFO: Epoch 3324/9999, Iter 166160: Loss = 0.011127416044473648, lr = [6.25e-06] +[2024-05-17 16:22:30,504] - INFO: Epoch 3324/9999, Iter 166180: Loss = 0.012415004894137383, lr = [6.25e-06] +[2024-05-17 16:22:49,515] - INFO: Epoch 3325/9999, Iter 166200: Loss = 0.01374816708266735, lr = [6.25e-06] +[2024-05-17 16:23:07,771] - INFO: Epoch 3325/9999, Iter 166220: Loss = 0.018695998936891556, lr = [6.25e-06] +[2024-05-17 16:23:25,905] - INFO: Epoch 3325/9999, Iter 166240: Loss = 0.00996001809835434, lr = [6.25e-06] +[2024-05-17 16:23:33,369] - INFO: Evaluate at epoch 3325! +[2024-05-17 16:23:36,790] - INFO: Eval PSNR (max): 38.013 (3310) SSIM (max): 0.9609 (3280) +[2024-05-17 16:23:36,790] - INFO: Eval PSNR (current): 37.996 (3325) SSIM (current): 0.9608 (3325) +[2024-05-17 16:23:36,791] - INFO: Evaluation over. +[2024-05-17 16:23:51,731] - INFO: Epoch 3326/9999, Iter 166260: Loss = 0.012781739234924316, lr = [6.25e-06] +[2024-05-17 16:24:09,223] - INFO: Epoch 3326/9999, Iter 166280: Loss = 0.009220232255756855, lr = [6.25e-06] +[2024-05-17 16:24:28,360] - INFO: Epoch 3327/9999, Iter 166300: Loss = 0.01809796504676342, lr = [6.25e-06] +[2024-05-17 16:24:46,504] - INFO: Epoch 3327/9999, Iter 166320: Loss = 0.013477718457579613, lr = [6.25e-06] +[2024-05-17 16:25:04,691] - INFO: Epoch 3327/9999, Iter 166340: Loss = 0.015336035750806332, lr = [6.25e-06] +[2024-05-17 16:25:23,672] - INFO: Epoch 3328/9999, Iter 166360: Loss = 0.013470525853335857, lr = [6.25e-06] +[2024-05-17 16:25:41,857] - INFO: Epoch 3328/9999, Iter 166380: Loss = 0.016742819920182228, lr = [6.25e-06] +[2024-05-17 16:26:00,889] - INFO: Epoch 3329/9999, Iter 166400: Loss = 0.012761649675667286, lr = [6.25e-06] +[2024-05-17 16:26:19,459] - INFO: Epoch 3329/9999, Iter 166420: Loss = 0.008775648660957813, lr = [6.25e-06] +[2024-05-17 16:26:37,756] - INFO: Epoch 3329/9999, Iter 166440: Loss = 0.014379017986357212, lr = [6.25e-06] +[2024-05-17 16:26:57,072] - INFO: Epoch 3330/9999, Iter 166460: Loss = 0.012592130340635777, lr = [6.25e-06] +[2024-05-17 16:27:15,456] - INFO: Epoch 3330/9999, Iter 166480: Loss = 0.00676659494638443, lr = [6.25e-06] +[2024-05-17 16:27:31,978] - INFO: Evaluate at epoch 3330! +[2024-05-17 16:27:35,551] - INFO: Eval PSNR (max): 38.013 (3310) SSIM (max): 0.9609 (3280) +[2024-05-17 16:27:35,551] - INFO: Eval PSNR (current): 38.002 (3330) SSIM (current): 0.9608 (3330) +[2024-05-17 16:27:35,551] - INFO: Evaluation over. +[2024-05-17 16:27:41,667] - INFO: Epoch 3331/9999, Iter 166500: Loss = 0.01215357705950737, lr = [6.25e-06] +[2024-05-17 16:27:58,707] - INFO: Epoch 3331/9999, Iter 166520: Loss = 0.01698722317814827, lr = [6.25e-06] +[2024-05-17 16:28:16,512] - INFO: Epoch 3331/9999, Iter 166540: Loss = 0.009424446150660515, lr = [6.25e-06] +[2024-05-17 16:28:35,523] - INFO: Epoch 3332/9999, Iter 166560: Loss = 0.014126771129667759, lr = [6.25e-06] +[2024-05-17 16:28:53,344] - INFO: Epoch 3332/9999, Iter 166580: Loss = 0.01109494548290968, lr = [6.25e-06] +[2024-05-17 16:29:13,023] - INFO: Epoch 3333/9999, Iter 166600: Loss = 0.015194796025753021, lr = [6.25e-06] +[2024-05-17 16:29:31,747] - INFO: Epoch 3333/9999, Iter 166620: Loss = 0.018071960657835007, lr = [6.25e-06] +[2024-05-17 16:29:49,763] - INFO: Epoch 3333/9999, Iter 166640: Loss = 0.011877620592713356, lr = [6.25e-06] +[2024-05-17 16:30:09,194] - INFO: Epoch 3334/9999, Iter 166660: Loss = 0.016807276755571365, lr = [6.25e-06] +[2024-05-17 16:30:26,745] - INFO: Epoch 3334/9999, Iter 166680: Loss = 0.01368294470012188, lr = [6.25e-06] +[2024-05-17 16:30:46,332] - INFO: Epoch 3335/9999, Iter 166700: Loss = 0.01607157662510872, lr = [6.25e-06] +[2024-05-17 16:31:03,806] - INFO: Epoch 3335/9999, Iter 166720: Loss = 0.01186559908092022, lr = [6.25e-06] +[2024-05-17 16:31:21,304] - INFO: Epoch 3335/9999, Iter 166740: Loss = 0.017376752570271492, lr = [6.25e-06] +[2024-05-17 16:31:29,052] - INFO: Evaluate at epoch 3335! +[2024-05-17 16:31:32,604] - INFO: Eval PSNR (max): 38.013 (3310) SSIM (max): 0.9609 (3280) +[2024-05-17 16:31:32,604] - INFO: Eval PSNR (current): 38.001 (3335) SSIM (current): 0.9608 (3335) +[2024-05-17 16:31:32,604] - INFO: Evaluation over. +[2024-05-17 16:31:47,136] - INFO: Epoch 3336/9999, Iter 166760: Loss = 0.011475040577352047, lr = [6.25e-06] +[2024-05-17 16:32:04,689] - INFO: Epoch 3336/9999, Iter 166780: Loss = 0.012743274681270123, lr = [6.25e-06] +[2024-05-17 16:32:24,456] - INFO: Epoch 3337/9999, Iter 166800: Loss = 0.010826170444488525, lr = [6.25e-06] +[2024-05-17 16:32:42,472] - INFO: Epoch 3337/9999, Iter 166820: Loss = 0.015999088063836098, lr = [6.25e-06] +[2024-05-17 16:33:00,428] - INFO: Epoch 3337/9999, Iter 166840: Loss = 0.012968388386070728, lr = [6.25e-06] +[2024-05-17 16:33:20,287] - INFO: Epoch 3338/9999, Iter 166860: Loss = 0.018867768347263336, lr = [6.25e-06] +[2024-05-17 16:33:38,192] - INFO: Epoch 3338/9999, Iter 166880: Loss = 0.01266478467732668, lr = [6.25e-06] +[2024-05-17 16:33:57,092] - INFO: Epoch 3339/9999, Iter 166900: Loss = 0.011847684159874916, lr = [6.25e-06] +[2024-05-17 16:34:14,835] - INFO: Epoch 3339/9999, Iter 166920: Loss = 0.01863471418619156, lr = [6.25e-06] +[2024-05-17 16:34:33,214] - INFO: Epoch 3339/9999, Iter 166940: Loss = 0.01531517319381237, lr = [6.25e-06] +[2024-05-17 16:34:51,692] - INFO: Epoch 3340/9999, Iter 166960: Loss = 0.0084386533126235, lr = [6.25e-06] +[2024-05-17 16:35:10,168] - INFO: Epoch 3340/9999, Iter 166980: Loss = 0.012158583849668503, lr = [6.25e-06] +[2024-05-17 16:35:26,945] - INFO: Evaluate at epoch 3340! +[2024-05-17 16:35:30,598] - INFO: Eval PSNR (max): 38.013 (3310) SSIM (max): 0.9609 (3280) +[2024-05-17 16:35:30,598] - INFO: Eval PSNR (current): 38.006 (3340) SSIM (current): 0.9608 (3340) +[2024-05-17 16:35:30,598] - INFO: Evaluation over. +[2024-05-17 16:35:36,787] - INFO: Epoch 3341/9999, Iter 167000: Loss = 0.00926191732287407, lr = [6.25e-06] +[2024-05-17 16:35:54,957] - INFO: Epoch 3341/9999, Iter 167020: Loss = 0.015049073845148087, lr = [6.25e-06] +[2024-05-17 16:36:12,932] - INFO: Epoch 3341/9999, Iter 167040: Loss = 0.012736490927636623, lr = [6.25e-06] +[2024-05-17 16:36:31,796] - INFO: Epoch 3342/9999, Iter 167060: Loss = 0.011619479395449162, lr = [6.25e-06] +[2024-05-17 16:36:49,563] - INFO: Epoch 3342/9999, Iter 167080: Loss = 0.01419837586581707, lr = [6.25e-06] +[2024-05-17 16:37:08,614] - INFO: Epoch 3343/9999, Iter 167100: Loss = 0.009714524261653423, lr = [6.25e-06] +[2024-05-17 16:37:26,948] - INFO: Epoch 3343/9999, Iter 167120: Loss = 0.01277423370629549, lr = [6.25e-06] +[2024-05-17 16:37:45,044] - INFO: Epoch 3343/9999, Iter 167140: Loss = 0.016235342249274254, lr = [6.25e-06] +[2024-05-17 16:38:03,280] - INFO: Epoch 3344/9999, Iter 167160: Loss = 0.014468098059296608, lr = [6.25e-06] +[2024-05-17 16:38:21,459] - INFO: Epoch 3344/9999, Iter 167180: Loss = 0.011209199205040932, lr = [6.25e-06] +[2024-05-17 16:38:41,253] - INFO: Epoch 3345/9999, Iter 167200: Loss = 0.011300932615995407, lr = [6.25e-06] +[2024-05-17 16:38:58,698] - INFO: Epoch 3345/9999, Iter 167220: Loss = 0.020429182797670364, lr = [6.25e-06] +[2024-05-17 16:39:16,514] - INFO: Epoch 3345/9999, Iter 167240: Loss = 0.013509977608919144, lr = [6.25e-06] +[2024-05-17 16:39:24,368] - INFO: Evaluate at epoch 3345! +[2024-05-17 16:39:28,108] - INFO: Eval PSNR (max): 38.013 (3310) SSIM (max): 0.9609 (3280) +[2024-05-17 16:39:28,109] - INFO: Eval PSNR (current): 38.008 (3345) SSIM (current): 0.9608 (3345) +[2024-05-17 16:39:28,109] - INFO: Evaluation over. +[2024-05-17 16:39:42,895] - INFO: Epoch 3346/9999, Iter 167260: Loss = 0.010318745858967304, lr = [6.25e-06] +[2024-05-17 16:40:01,316] - INFO: Epoch 3346/9999, Iter 167280: Loss = 0.01635931432247162, lr = [6.25e-06] +[2024-05-17 16:40:20,685] - INFO: Epoch 3347/9999, Iter 167300: Loss = 0.009079216048121452, lr = [6.25e-06] +[2024-05-17 16:40:38,074] - INFO: Epoch 3347/9999, Iter 167320: Loss = 0.009455631487071514, lr = [6.25e-06] +[2024-05-17 16:40:56,192] - INFO: Epoch 3347/9999, Iter 167340: Loss = 0.0115268025547266, lr = [6.25e-06] +[2024-05-17 16:41:15,087] - INFO: Epoch 3348/9999, Iter 167360: Loss = 0.012854502536356449, lr = [6.25e-06] +[2024-05-17 16:41:32,925] - INFO: Epoch 3348/9999, Iter 167380: Loss = 0.012232406064867973, lr = [6.25e-06] +[2024-05-17 16:41:51,720] - INFO: Epoch 3349/9999, Iter 167400: Loss = 0.011058215983211994, lr = [6.25e-06] +[2024-05-17 16:42:09,116] - INFO: Epoch 3349/9999, Iter 167420: Loss = 0.012650755234062672, lr = [6.25e-06] +[2024-05-17 16:42:26,511] - INFO: Epoch 3349/9999, Iter 167440: Loss = 0.012409871444106102, lr = [6.25e-06] +[2024-05-17 16:42:45,890] - INFO: Epoch 3350/9999, Iter 167460: Loss = 0.01387072540819645, lr = [6.25e-06] +[2024-05-17 16:43:04,335] - INFO: Epoch 3350/9999, Iter 167480: Loss = 0.012396196834743023, lr = [6.25e-06] +[2024-05-17 16:43:21,157] - INFO: Evaluate at epoch 3350! +[2024-05-17 16:43:24,742] - INFO: Eval PSNR (max): 38.013 (3310) SSIM (max): 0.9609 (3280) +[2024-05-17 16:43:24,743] - INFO: Eval PSNR (current): 38.003 (3350) SSIM (current): 0.9608 (3350) +[2024-05-17 16:43:24,743] - INFO: Evaluation over. +[2024-05-17 16:43:30,890] - INFO: Epoch 3351/9999, Iter 167500: Loss = 0.011040703393518925, lr = [6.25e-06] +[2024-05-17 16:43:49,414] - INFO: Epoch 3351/9999, Iter 167520: Loss = 0.018749205395579338, lr = [6.25e-06] +[2024-05-17 16:44:06,873] - INFO: Epoch 3351/9999, Iter 167540: Loss = 0.010760431177914143, lr = [6.25e-06] +[2024-05-17 16:44:26,244] - INFO: Epoch 3352/9999, Iter 167560: Loss = 0.011718922294676304, lr = [6.25e-06] +[2024-05-17 16:44:44,368] - INFO: Epoch 3352/9999, Iter 167580: Loss = 0.010628998279571533, lr = [6.25e-06] +[2024-05-17 16:45:03,164] - INFO: Epoch 3353/9999, Iter 167600: Loss = 0.013194369152188301, lr = [6.25e-06] +[2024-05-17 16:45:20,252] - INFO: Epoch 3353/9999, Iter 167620: Loss = 0.011488454416394234, lr = [6.25e-06] +[2024-05-17 16:45:37,655] - INFO: Epoch 3353/9999, Iter 167640: Loss = 0.016448328271508217, lr = [6.25e-06] +[2024-05-17 16:45:57,004] - INFO: Epoch 3354/9999, Iter 167660: Loss = 0.012402008287608624, lr = [6.25e-06] +[2024-05-17 16:46:14,278] - INFO: Epoch 3354/9999, Iter 167680: Loss = 0.01320361252874136, lr = [6.25e-06] +[2024-05-17 16:46:33,805] - INFO: Epoch 3355/9999, Iter 167700: Loss = 0.013276523910462856, lr = [6.25e-06] +[2024-05-17 16:46:51,724] - INFO: Epoch 3355/9999, Iter 167720: Loss = 0.014787847176194191, lr = [6.25e-06] +[2024-05-17 16:47:10,244] - INFO: Epoch 3355/9999, Iter 167740: Loss = 0.0117639834061265, lr = [6.25e-06] +[2024-05-17 16:47:17,622] - INFO: Evaluate at epoch 3355! +[2024-05-17 16:47:25,466] - INFO: Eval PSNR (max): 38.015 (3355) SSIM (max): 0.9609 (3280) +[2024-05-17 16:47:25,467] - INFO: Eval PSNR (current): 38.015 (3355) SSIM (current): 0.9608 (3355) +[2024-05-17 16:47:25,467] - INFO: Evaluation over. +[2024-05-17 16:47:40,872] - INFO: Epoch 3356/9999, Iter 167760: Loss = 0.01029545720666647, lr = [6.25e-06] +[2024-05-17 16:47:59,366] - INFO: Epoch 3356/9999, Iter 167780: Loss = 0.012748835608363152, lr = [6.25e-06] +[2024-05-17 16:48:18,168] - INFO: Epoch 3357/9999, Iter 167800: Loss = 0.01143247913569212, lr = [6.25e-06] +[2024-05-17 16:48:35,427] - INFO: Epoch 3357/9999, Iter 167820: Loss = 0.011975456029176712, lr = [6.25e-06] +[2024-05-17 16:48:53,382] - INFO: Epoch 3357/9999, Iter 167840: Loss = 0.013423966243863106, lr = [6.25e-06] +[2024-05-17 16:49:12,864] - INFO: Epoch 3358/9999, Iter 167860: Loss = 0.009976047091186047, lr = [6.25e-06] +[2024-05-17 16:49:29,823] - INFO: Epoch 3358/9999, Iter 167880: Loss = 0.016660355031490326, lr = [6.25e-06] +[2024-05-17 16:49:49,124] - INFO: Epoch 3359/9999, Iter 167900: Loss = 0.011286136694252491, lr = [6.25e-06] +[2024-05-17 16:50:07,244] - INFO: Epoch 3359/9999, Iter 167920: Loss = 0.014345383271574974, lr = [6.25e-06] +[2024-05-17 16:50:24,964] - INFO: Epoch 3359/9999, Iter 167940: Loss = 0.009662563912570477, lr = [6.25e-06] +[2024-05-17 16:50:43,832] - INFO: Epoch 3360/9999, Iter 167960: Loss = 0.010078881867229939, lr = [6.25e-06] +[2024-05-17 16:51:02,039] - INFO: Epoch 3360/9999, Iter 167980: Loss = 0.011387008242309093, lr = [6.25e-06] +[2024-05-17 16:51:18,690] - INFO: Evaluate at epoch 3360! +[2024-05-17 16:51:22,252] - INFO: Eval PSNR (max): 38.015 (3355) SSIM (max): 0.9609 (3280) +[2024-05-17 16:51:22,252] - INFO: Eval PSNR (current): 38.003 (3360) SSIM (current): 0.9608 (3360) +[2024-05-17 16:51:22,252] - INFO: Evaluation over. +[2024-05-17 16:51:28,298] - INFO: Epoch 3361/9999, Iter 168000: Loss = 0.010728857479989529, lr = [6.25e-06] +[2024-05-17 16:51:46,056] - INFO: Epoch 3361/9999, Iter 168020: Loss = 0.01525050587952137, lr = [6.25e-06] +[2024-05-17 16:52:03,752] - INFO: Epoch 3361/9999, Iter 168040: Loss = 0.012298177927732468, lr = [6.25e-06] +[2024-05-17 16:52:22,749] - INFO: Epoch 3362/9999, Iter 168060: Loss = 0.008494041860103607, lr = [6.25e-06] +[2024-05-17 16:52:41,180] - INFO: Epoch 3362/9999, Iter 168080: Loss = 0.011328590102493763, lr = [6.25e-06] +[2024-05-17 16:53:00,040] - INFO: Epoch 3363/9999, Iter 168100: Loss = 0.009662121534347534, lr = [6.25e-06] +[2024-05-17 16:53:17,731] - INFO: Epoch 3363/9999, Iter 168120: Loss = 0.0075121065601706505, lr = [6.25e-06] +[2024-05-17 16:53:36,476] - INFO: Epoch 3363/9999, Iter 168140: Loss = 0.011654279194772243, lr = [6.25e-06] +[2024-05-17 16:53:54,939] - INFO: Epoch 3364/9999, Iter 168160: Loss = 0.013935660943388939, lr = [6.25e-06] +[2024-05-17 16:54:13,032] - INFO: Epoch 3364/9999, Iter 168180: Loss = 0.010510296560823917, lr = [6.25e-06] +[2024-05-17 16:54:32,247] - INFO: Epoch 3365/9999, Iter 168200: Loss = 0.014651423320174217, lr = [6.25e-06] +[2024-05-17 16:54:50,846] - INFO: Epoch 3365/9999, Iter 168220: Loss = 0.013728623278439045, lr = [6.25e-06] +[2024-05-17 16:55:08,970] - INFO: Epoch 3365/9999, Iter 168240: Loss = 0.016785256564617157, lr = [6.25e-06] +[2024-05-17 16:55:16,574] - INFO: Evaluate at epoch 3365! +[2024-05-17 16:55:20,378] - INFO: Eval PSNR (max): 38.015 (3355) SSIM (max): 0.9609 (3280) +[2024-05-17 16:55:20,378] - INFO: Eval PSNR (current): 38.005 (3365) SSIM (current): 0.9608 (3365) +[2024-05-17 16:55:20,379] - INFO: Evaluation over. +[2024-05-17 16:55:34,979] - INFO: Epoch 3366/9999, Iter 168260: Loss = 0.00950312614440918, lr = [6.25e-06] +[2024-05-17 16:55:52,425] - INFO: Epoch 3366/9999, Iter 168280: Loss = 0.009144715964794159, lr = [6.25e-06] +[2024-05-17 16:56:11,384] - INFO: Epoch 3367/9999, Iter 168300: Loss = 0.014970611780881882, lr = [6.25e-06] +[2024-05-17 16:56:29,677] - INFO: Epoch 3367/9999, Iter 168320: Loss = 0.01564774475991726, lr = [6.25e-06] +[2024-05-17 16:56:47,369] - INFO: Epoch 3367/9999, Iter 168340: Loss = 0.009641265496611595, lr = [6.25e-06] +[2024-05-17 16:57:06,048] - INFO: Epoch 3368/9999, Iter 168360: Loss = 0.011595521122217178, lr = [6.25e-06] +[2024-05-17 16:57:23,988] - INFO: Epoch 3368/9999, Iter 168380: Loss = 0.016522666439414024, lr = [6.25e-06] +[2024-05-17 16:57:43,649] - INFO: Epoch 3369/9999, Iter 168400: Loss = 0.01430924516171217, lr = [6.25e-06] +[2024-05-17 16:58:01,613] - INFO: Epoch 3369/9999, Iter 168420: Loss = 0.01577465422451496, lr = [6.25e-06] +[2024-05-17 16:58:19,236] - INFO: Epoch 3369/9999, Iter 168440: Loss = 0.012625272385776043, lr = [6.25e-06] +[2024-05-17 16:58:38,384] - INFO: Epoch 3370/9999, Iter 168460: Loss = 0.011268608272075653, lr = [6.25e-06] +[2024-05-17 16:58:56,386] - INFO: Epoch 3370/9999, Iter 168480: Loss = 0.018285393714904785, lr = [6.25e-06] +[2024-05-17 16:59:13,248] - INFO: Evaluate at epoch 3370! +[2024-05-17 16:59:16,960] - INFO: Eval PSNR (max): 38.015 (3355) SSIM (max): 0.9609 (3280) +[2024-05-17 16:59:16,961] - INFO: Eval PSNR (current): 38.008 (3370) SSIM (current): 0.9608 (3370) +[2024-05-17 16:59:16,961] - INFO: Evaluation over. +[2024-05-17 16:59:23,245] - INFO: Epoch 3371/9999, Iter 168500: Loss = 0.015875905752182007, lr = [6.25e-06] +[2024-05-17 16:59:41,066] - INFO: Epoch 3371/9999, Iter 168520: Loss = 0.010351749137043953, lr = [6.25e-06] +[2024-05-17 16:59:59,374] - INFO: Epoch 3371/9999, Iter 168540: Loss = 0.013396703638136387, lr = [6.25e-06] +[2024-05-17 17:00:18,024] - INFO: Epoch 3372/9999, Iter 168560: Loss = 0.014322987757623196, lr = [6.25e-06] +[2024-05-17 17:00:36,619] - INFO: Epoch 3372/9999, Iter 168580: Loss = 0.015076173469424248, lr = [6.25e-06] +[2024-05-17 17:00:55,640] - INFO: Epoch 3373/9999, Iter 168600: Loss = 0.012782097794115543, lr = [6.25e-06] +[2024-05-17 17:01:13,342] - INFO: Epoch 3373/9999, Iter 168620: Loss = 0.021033361554145813, lr = [6.25e-06] +[2024-05-17 17:01:31,207] - INFO: Epoch 3373/9999, Iter 168640: Loss = 0.016458310186862946, lr = [6.25e-06] +[2024-05-17 17:01:49,982] - INFO: Epoch 3374/9999, Iter 168660: Loss = 0.01351272501051426, lr = [6.25e-06] +[2024-05-17 17:02:07,294] - INFO: Epoch 3374/9999, Iter 168680: Loss = 0.0127591323107481, lr = [6.25e-06] +[2024-05-17 17:02:27,042] - INFO: Epoch 3375/9999, Iter 168700: Loss = 0.013895434327423573, lr = [6.25e-06] +[2024-05-17 17:02:45,268] - INFO: Epoch 3375/9999, Iter 168720: Loss = 0.010131096467375755, lr = [6.25e-06] +[2024-05-17 17:03:03,212] - INFO: Epoch 3375/9999, Iter 168740: Loss = 0.014713618904352188, lr = [6.25e-06] +[2024-05-17 17:03:11,316] - INFO: Evaluate at epoch 3375! +[2024-05-17 17:03:18,720] - INFO: Eval PSNR (max): 38.015 (3355) SSIM (max): 0.9609 (3375) +[2024-05-17 17:03:18,721] - INFO: Eval PSNR (current): 38.014 (3375) SSIM (current): 0.9609 (3375) +[2024-05-17 17:03:18,721] - INFO: Evaluation over. +[2024-05-17 17:03:33,885] - INFO: Epoch 3376/9999, Iter 168760: Loss = 0.01517527550458908, lr = [6.25e-06] +[2024-05-17 17:03:52,065] - INFO: Epoch 3376/9999, Iter 168780: Loss = 0.00969473272562027, lr = [6.25e-06] +[2024-05-17 17:04:11,665] - INFO: Epoch 3377/9999, Iter 168800: Loss = 0.010366326197981834, lr = [6.25e-06] +[2024-05-17 17:04:29,491] - INFO: Epoch 3377/9999, Iter 168820: Loss = 0.018584782257676125, lr = [6.25e-06] +[2024-05-17 17:04:47,056] - INFO: Epoch 3377/9999, Iter 168840: Loss = 0.011241032741963863, lr = [6.25e-06] +[2024-05-17 17:05:05,832] - INFO: Epoch 3378/9999, Iter 168860: Loss = 0.01468762755393982, lr = [6.25e-06] +[2024-05-17 17:05:23,295] - INFO: Epoch 3378/9999, Iter 168880: Loss = 0.009771875105798244, lr = [6.25e-06] +[2024-05-17 17:05:42,522] - INFO: Epoch 3379/9999, Iter 168900: Loss = 0.01134792622178793, lr = [6.25e-06] +[2024-05-17 17:06:00,828] - INFO: Epoch 3379/9999, Iter 168920: Loss = 0.012195044197142124, lr = [6.25e-06] +[2024-05-17 17:06:18,564] - INFO: Epoch 3379/9999, Iter 168940: Loss = 0.015150300227105618, lr = [6.25e-06] +[2024-05-17 17:06:37,777] - INFO: Epoch 3380/9999, Iter 168960: Loss = 0.012074226513504982, lr = [6.25e-06] +[2024-05-17 17:06:55,774] - INFO: Epoch 3380/9999, Iter 168980: Loss = 0.013551397249102592, lr = [6.25e-06] +[2024-05-17 17:07:12,342] - INFO: Evaluate at epoch 3380! +[2024-05-17 17:07:15,893] - INFO: Eval PSNR (max): 38.015 (3355) SSIM (max): 0.9609 (3375) +[2024-05-17 17:07:15,893] - INFO: Eval PSNR (current): 38.001 (3380) SSIM (current): 0.9609 (3380) +[2024-05-17 17:07:15,893] - INFO: Evaluation over. +[2024-05-17 17:07:21,820] - INFO: Epoch 3381/9999, Iter 169000: Loss = 0.014791292138397694, lr = [6.25e-06] +[2024-05-17 17:07:39,239] - INFO: Epoch 3381/9999, Iter 169020: Loss = 0.008320356719195843, lr = [6.25e-06] +[2024-05-17 17:07:56,779] - INFO: Epoch 3381/9999, Iter 169040: Loss = 0.014894792810082436, lr = [6.25e-06] +[2024-05-17 17:08:15,719] - INFO: Epoch 3382/9999, Iter 169060: Loss = 0.011994738131761551, lr = [6.25e-06] +[2024-05-17 17:08:33,400] - INFO: Epoch 3382/9999, Iter 169080: Loss = 0.007646386511623859, lr = [6.25e-06] +[2024-05-17 17:08:52,838] - INFO: Epoch 3383/9999, Iter 169100: Loss = 0.006910210940986872, lr = [6.25e-06] +[2024-05-17 17:09:11,320] - INFO: Epoch 3383/9999, Iter 169120: Loss = 0.01662946306169033, lr = [6.25e-06] +[2024-05-17 17:09:29,427] - INFO: Epoch 3383/9999, Iter 169140: Loss = 0.010755131021142006, lr = [6.25e-06] +[2024-05-17 17:09:48,344] - INFO: Epoch 3384/9999, Iter 169160: Loss = 0.010770364664494991, lr = [6.25e-06] +[2024-05-17 17:10:06,264] - INFO: Epoch 3384/9999, Iter 169180: Loss = 0.011208735406398773, lr = [6.25e-06] +[2024-05-17 17:10:25,581] - INFO: Epoch 3385/9999, Iter 169200: Loss = 0.012929880991578102, lr = [6.25e-06] +[2024-05-17 17:10:43,020] - INFO: Epoch 3385/9999, Iter 169220: Loss = 0.014259318821132183, lr = [6.25e-06] +[2024-05-17 17:11:00,756] - INFO: Epoch 3385/9999, Iter 169240: Loss = 0.013198697939515114, lr = [6.25e-06] +[2024-05-17 17:11:08,918] - INFO: Evaluate at epoch 3385! +[2024-05-17 17:11:16,402] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-17 17:11:16,402] - INFO: Eval PSNR (current): 38.018 (3385) SSIM (current): 0.9609 (3385) +[2024-05-17 17:11:16,402] - INFO: Evaluation over. +[2024-05-17 17:11:30,654] - INFO: Epoch 3386/9999, Iter 169260: Loss = 0.010243850760161877, lr = [6.25e-06] +[2024-05-17 17:11:48,207] - INFO: Epoch 3386/9999, Iter 169280: Loss = 0.020694192498922348, lr = [6.25e-06] +[2024-05-17 17:12:08,240] - INFO: Epoch 3387/9999, Iter 169300: Loss = 0.009032875299453735, lr = [6.25e-06] +[2024-05-17 17:12:26,075] - INFO: Epoch 3387/9999, Iter 169320: Loss = 0.011666366830468178, lr = [6.25e-06] +[2024-05-17 17:12:44,008] - INFO: Epoch 3387/9999, Iter 169340: Loss = 0.02082219161093235, lr = [6.25e-06] +[2024-05-17 17:13:03,073] - INFO: Epoch 3388/9999, Iter 169360: Loss = 0.008202721364796162, lr = [6.25e-06] +[2024-05-17 17:13:21,777] - INFO: Epoch 3388/9999, Iter 169380: Loss = 0.014405007474124432, lr = [6.25e-06] +[2024-05-17 17:13:40,528] - INFO: Epoch 3389/9999, Iter 169400: Loss = 0.009606690146028996, lr = [6.25e-06] +[2024-05-17 17:13:58,401] - INFO: Epoch 3389/9999, Iter 169420: Loss = 0.012213680893182755, lr = [6.25e-06] +[2024-05-17 17:14:16,092] - INFO: Epoch 3389/9999, Iter 169440: Loss = 0.009217503480613232, lr = [6.25e-06] +[2024-05-17 17:14:34,781] - INFO: Epoch 3390/9999, Iter 169460: Loss = 0.012431005947291851, lr = [6.25e-06] +[2024-05-17 17:14:52,247] - INFO: Epoch 3390/9999, Iter 169480: Loss = 0.015381384640932083, lr = [6.25e-06] +[2024-05-17 17:15:08,961] - INFO: Evaluate at epoch 3390! +[2024-05-17 17:15:12,594] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-17 17:15:12,594] - INFO: Eval PSNR (current): 38.012 (3390) SSIM (current): 0.9608 (3390) +[2024-05-17 17:15:12,594] - INFO: Evaluation over. +[2024-05-17 17:15:18,708] - INFO: Epoch 3391/9999, Iter 169500: Loss = 0.013915331102907658, lr = [6.25e-06] +[2024-05-17 17:15:36,678] - INFO: Epoch 3391/9999, Iter 169520: Loss = 0.00820136722177267, lr = [6.25e-06] +[2024-05-17 17:15:55,337] - INFO: Epoch 3391/9999, Iter 169540: Loss = 0.01508987694978714, lr = [6.25e-06] +[2024-05-17 17:16:14,108] - INFO: Epoch 3392/9999, Iter 169560: Loss = 0.016083315014839172, lr = [6.25e-06] +[2024-05-17 17:16:31,972] - INFO: Epoch 3392/9999, Iter 169580: Loss = 0.015556642785668373, lr = [6.25e-06] +[2024-05-17 17:16:51,301] - INFO: Epoch 3393/9999, Iter 169600: Loss = 0.013050448149442673, lr = [6.25e-06] +[2024-05-17 17:17:08,997] - INFO: Epoch 3393/9999, Iter 169620: Loss = 0.0145781384781003, lr = [6.25e-06] +[2024-05-17 17:17:27,321] - INFO: Epoch 3393/9999, Iter 169640: Loss = 0.011980450712144375, lr = [6.25e-06] +[2024-05-17 17:17:46,229] - INFO: Epoch 3394/9999, Iter 169660: Loss = 0.012366663664579391, lr = [6.25e-06] +[2024-05-17 17:18:03,943] - INFO: Epoch 3394/9999, Iter 169680: Loss = 0.012873087078332901, lr = [6.25e-06] +[2024-05-17 17:18:23,493] - INFO: Epoch 3395/9999, Iter 169700: Loss = 0.012940408661961555, lr = [6.25e-06] +[2024-05-17 17:18:41,700] - INFO: Epoch 3395/9999, Iter 169720: Loss = 0.0128470528870821, lr = [6.25e-06] +[2024-05-17 17:18:59,514] - INFO: Epoch 3395/9999, Iter 169740: Loss = 0.01574752666056156, lr = [6.25e-06] +[2024-05-17 17:19:07,127] - INFO: Evaluate at epoch 3395! +[2024-05-17 17:19:10,789] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-17 17:19:10,789] - INFO: Eval PSNR (current): 38.002 (3395) SSIM (current): 0.9608 (3395) +[2024-05-17 17:19:10,789] - INFO: Evaluation over. +[2024-05-17 17:19:25,179] - INFO: Epoch 3396/9999, Iter 169760: Loss = 0.012942168861627579, lr = [6.25e-06] +[2024-05-17 17:19:42,680] - INFO: Epoch 3396/9999, Iter 169780: Loss = 0.013228392228484154, lr = [6.25e-06] +[2024-05-17 17:20:02,029] - INFO: Epoch 3397/9999, Iter 169800: Loss = 0.013939873315393925, lr = [6.25e-06] +[2024-05-17 17:20:19,908] - INFO: Epoch 3397/9999, Iter 169820: Loss = 0.013746588490903378, lr = [6.25e-06] +[2024-05-17 17:20:37,544] - INFO: Epoch 3397/9999, Iter 169840: Loss = 0.009130395948886871, lr = [6.25e-06] +[2024-05-17 17:20:56,726] - INFO: Epoch 3398/9999, Iter 169860: Loss = 0.015049384906888008, lr = [6.25e-06] +[2024-05-17 17:21:14,144] - INFO: Epoch 3398/9999, Iter 169880: Loss = 0.008775610476732254, lr = [6.25e-06] +[2024-05-17 17:21:33,552] - INFO: Epoch 3399/9999, Iter 169900: Loss = 0.016285782679915428, lr = [6.25e-06] +[2024-05-17 17:21:51,248] - INFO: Epoch 3399/9999, Iter 169920: Loss = 0.01627923920750618, lr = [6.25e-06] +[2024-05-17 17:22:08,410] - INFO: Epoch 3399/9999, Iter 169940: Loss = 0.010116777382791042, lr = [6.25e-06] +[2024-05-17 17:22:27,002] - INFO: Epoch 3400/9999, Iter 169960: Loss = 0.010617516003549099, lr = [6.25e-06] +[2024-05-17 17:22:45,044] - INFO: Epoch 3400/9999, Iter 169980: Loss = 0.01383026223629713, lr = [6.25e-06] +[2024-05-17 17:23:02,110] - INFO: Evaluate at epoch 3400! +[2024-05-17 17:23:05,599] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-17 17:23:05,600] - INFO: Eval PSNR (current): 38.006 (3400) SSIM (current): 0.9608 (3400) +[2024-05-17 17:23:05,600] - INFO: Evaluation over. +[2024-05-17 17:23:11,568] - INFO: Epoch 3401/9999, Iter 170000: Loss = 0.010232269763946533, lr = [6.25e-06] +[2024-05-17 17:23:29,905] - INFO: Epoch 3401/9999, Iter 170020: Loss = 0.011666734702885151, lr = [6.25e-06] +[2024-05-17 17:23:48,204] - INFO: Epoch 3401/9999, Iter 170040: Loss = 0.011558465659618378, lr = [6.25e-06] +[2024-05-17 17:24:06,504] - INFO: Epoch 3402/9999, Iter 170060: Loss = 0.01676548644900322, lr = [6.25e-06] +[2024-05-17 17:24:24,796] - INFO: Epoch 3402/9999, Iter 170080: Loss = 0.010317089036107063, lr = [6.25e-06] +[2024-05-17 17:24:43,961] - INFO: Epoch 3403/9999, Iter 170100: Loss = 0.01660182885825634, lr = [6.25e-06] +[2024-05-17 17:25:01,425] - INFO: Epoch 3403/9999, Iter 170120: Loss = 0.019457582384347916, lr = [6.25e-06] +[2024-05-17 17:25:18,652] - INFO: Epoch 3403/9999, Iter 170140: Loss = 0.009093663655221462, lr = [6.25e-06] +[2024-05-17 17:25:37,940] - INFO: Epoch 3404/9999, Iter 170160: Loss = 0.01221346203237772, lr = [6.25e-06] +[2024-05-17 17:25:55,492] - INFO: Epoch 3404/9999, Iter 170180: Loss = 0.011805932968854904, lr = [6.25e-06] +[2024-05-17 17:26:14,836] - INFO: Epoch 3405/9999, Iter 170200: Loss = 0.015327599830925465, lr = [6.25e-06] +[2024-05-17 17:26:32,078] - INFO: Epoch 3405/9999, Iter 170220: Loss = 0.007571090944111347, lr = [6.25e-06] +[2024-05-17 17:26:49,516] - INFO: Epoch 3405/9999, Iter 170240: Loss = 0.010349981486797333, lr = [6.25e-06] +[2024-05-17 17:26:57,747] - INFO: Evaluate at epoch 3405! +[2024-05-17 17:27:01,431] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-17 17:27:01,431] - INFO: Eval PSNR (current): 37.999 (3405) SSIM (current): 0.9608 (3405) +[2024-05-17 17:27:01,431] - INFO: Evaluation over. +[2024-05-17 17:27:16,739] - INFO: Epoch 3406/9999, Iter 170260: Loss = 0.02094418928027153, lr = [6.25e-06] +[2024-05-17 17:27:33,904] - INFO: Epoch 3406/9999, Iter 170280: Loss = 0.012645816430449486, lr = [6.25e-06] +[2024-05-17 17:27:52,631] - INFO: Epoch 3407/9999, Iter 170300: Loss = 0.011392944492399693, lr = [6.25e-06] +[2024-05-17 17:28:11,146] - INFO: Epoch 3407/9999, Iter 170320: Loss = 0.016424313187599182, lr = [6.25e-06] +[2024-05-17 17:28:28,464] - INFO: Epoch 3407/9999, Iter 170340: Loss = 0.013494016602635384, lr = [6.25e-06] +[2024-05-17 17:28:47,852] - INFO: Epoch 3408/9999, Iter 170360: Loss = 0.014867483638226986, lr = [6.25e-06] +[2024-05-17 17:29:05,894] - INFO: Epoch 3408/9999, Iter 170380: Loss = 0.01508441474288702, lr = [6.25e-06] +[2024-05-17 17:29:24,695] - INFO: Epoch 3409/9999, Iter 170400: Loss = 0.015281988307833672, lr = [6.25e-06] +[2024-05-17 17:29:42,700] - INFO: Epoch 3409/9999, Iter 170420: Loss = 0.012443716637790203, lr = [6.25e-06] +[2024-05-17 17:30:01,098] - INFO: Epoch 3409/9999, Iter 170440: Loss = 0.014251632615923882, lr = [6.25e-06] +[2024-05-17 17:30:19,934] - INFO: Epoch 3410/9999, Iter 170460: Loss = 0.015134286135435104, lr = [6.25e-06] +[2024-05-17 17:30:37,608] - INFO: Epoch 3410/9999, Iter 170480: Loss = 0.010562998242676258, lr = [6.25e-06] +[2024-05-17 17:30:53,825] - INFO: Evaluate at epoch 3410! +[2024-05-17 17:30:57,580] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-17 17:30:57,580] - INFO: Eval PSNR (current): 38.003 (3410) SSIM (current): 0.9608 (3410) +[2024-05-17 17:30:57,580] - INFO: Evaluation over. +[2024-05-17 17:31:03,908] - INFO: Epoch 3411/9999, Iter 170500: Loss = 0.010102243162691593, lr = [6.25e-06] +[2024-05-17 17:31:22,199] - INFO: Epoch 3411/9999, Iter 170520: Loss = 0.012746167369186878, lr = [6.25e-06] +[2024-05-17 17:31:39,795] - INFO: Epoch 3411/9999, Iter 170540: Loss = 0.008669447153806686, lr = [6.25e-06] +[2024-05-17 17:31:58,369] - INFO: Epoch 3412/9999, Iter 170560: Loss = 0.010084997862577438, lr = [6.25e-06] +[2024-05-17 17:32:15,777] - INFO: Epoch 3412/9999, Iter 170580: Loss = 0.009005472995340824, lr = [6.25e-06] +[2024-05-17 17:32:35,295] - INFO: Epoch 3413/9999, Iter 170600: Loss = 0.013674295507371426, lr = [6.25e-06] +[2024-05-17 17:32:52,688] - INFO: Epoch 3413/9999, Iter 170620: Loss = 0.014053977094590664, lr = [6.25e-06] +[2024-05-17 17:33:10,358] - INFO: Epoch 3413/9999, Iter 170640: Loss = 0.012191037647426128, lr = [6.25e-06] +[2024-05-17 17:33:29,404] - INFO: Epoch 3414/9999, Iter 170660: Loss = 0.014092759229242802, lr = [6.25e-06] +[2024-05-17 17:33:47,580] - INFO: Epoch 3414/9999, Iter 170680: Loss = 0.016321245580911636, lr = [6.25e-06] +[2024-05-17 17:34:06,724] - INFO: Epoch 3415/9999, Iter 170700: Loss = 0.021190499886870384, lr = [6.25e-06] +[2024-05-17 17:34:24,293] - INFO: Epoch 3415/9999, Iter 170720: Loss = 0.011365502141416073, lr = [6.25e-06] +[2024-05-17 17:34:41,778] - INFO: Epoch 3415/9999, Iter 170740: Loss = 0.007720893248915672, lr = [6.25e-06] +[2024-05-17 17:34:49,937] - INFO: Evaluate at epoch 3415! +[2024-05-17 17:34:53,550] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-17 17:34:53,550] - INFO: Eval PSNR (current): 38.003 (3415) SSIM (current): 0.9608 (3415) +[2024-05-17 17:34:53,550] - INFO: Evaluation over. +[2024-05-17 17:35:08,212] - INFO: Epoch 3416/9999, Iter 170760: Loss = 0.007588028907775879, lr = [6.25e-06] +[2024-05-17 17:35:26,068] - INFO: Epoch 3416/9999, Iter 170780: Loss = 0.011314435862004757, lr = [6.25e-06] +[2024-05-17 17:35:45,277] - INFO: Epoch 3417/9999, Iter 170800: Loss = 0.014030140824615955, lr = [6.25e-06] +[2024-05-17 17:36:03,698] - INFO: Epoch 3417/9999, Iter 170820: Loss = 0.012148566544055939, lr = [6.25e-06] +[2024-05-17 17:36:21,293] - INFO: Epoch 3417/9999, Iter 170840: Loss = 0.00828582514077425, lr = [6.25e-06] +[2024-05-17 17:36:40,772] - INFO: Epoch 3418/9999, Iter 170860: Loss = 0.012197357602417469, lr = [6.25e-06] +[2024-05-17 17:36:58,070] - INFO: Epoch 3418/9999, Iter 170880: Loss = 0.0076973228715360165, lr = [6.25e-06] +[2024-05-17 17:37:17,208] - INFO: Epoch 3419/9999, Iter 170900: Loss = 0.010811050422489643, lr = [6.25e-06] +[2024-05-17 17:37:34,371] - INFO: Epoch 3419/9999, Iter 170920: Loss = 0.010724584572017193, lr = [6.25e-06] +[2024-05-17 17:37:52,291] - INFO: Epoch 3419/9999, Iter 170940: Loss = 0.007305043749511242, lr = [6.25e-06] diff --git a/RNAN/RNAN_2.log b/RNAN/RNAN_2.log new file mode 100644 index 0000000000000000000000000000000000000000..c4b3f6bd3ed5c90c20a24682cfb9aea619aab884 --- /dev/null +++ b/RNAN/RNAN_2.log @@ -0,0 +1,7458 @@ +[2024-05-20 03:06:47,027] - INFO: LOGGER SETUP COMPLETED +[2024-05-20 03:06:47,033] - INFO: DATASET LOADED +[2024-05-20 03:06:47,423] - INFO: MODEL LOADED +[2024-05-20 03:06:47,423] - INFO: Device: cuda +[2024-05-20 03:06:59,443] - INFO: Load Pretrained model at epoch 3415 +[2024-05-20 03:07:17,541] - INFO: Epoch 3416/9999, Iter 170760: Loss = 0.012891614809632301, lr = [0.0001] +[2024-05-20 03:07:45,878] - INFO: Epoch 3416/9999, Iter 170780: Loss = 0.1464194804430008, lr = [0.0001] +[2024-05-20 03:08:14,389] - INFO: Epoch 3417/9999, Iter 170800: Loss = 0.04349570348858833, lr = [0.0001] +[2024-05-20 03:08:42,719] - INFO: Epoch 3417/9999, Iter 170820: Loss = 0.021835017949342728, lr = [0.0001] +[2024-05-20 03:09:10,842] - INFO: Epoch 3417/9999, Iter 170840: Loss = 0.02045324631035328, lr = [0.0001] +[2024-05-20 03:09:40,035] - INFO: Epoch 3418/9999, Iter 170860: Loss = 0.017904197797179222, lr = [0.0001] +[2024-05-20 03:10:08,061] - INFO: Epoch 3418/9999, Iter 170880: Loss = 0.013998773880302906, lr = [0.0001] +[2024-05-20 03:10:36,819] - INFO: Epoch 3419/9999, Iter 170900: Loss = 0.01944381184875965, lr = [0.0001] +[2024-05-20 03:11:05,055] - INFO: Epoch 3419/9999, Iter 170920: Loss = 0.011468370445072651, lr = [0.0001] +[2024-05-20 03:11:33,337] - INFO: Epoch 3419/9999, Iter 170940: Loss = 0.014391588978469372, lr = [0.0001] +[2024-05-20 03:12:02,960] - INFO: Epoch 3420/9999, Iter 170960: Loss = 0.013726327568292618, lr = [0.0001] +[2024-05-20 03:12:31,257] - INFO: Epoch 3420/9999, Iter 170980: Loss = 0.01151538360863924, lr = [0.0001] +[2024-05-20 03:12:56,838] - INFO: Evaluate at epoch 3420! +[2024-05-20 03:13:01,004] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 03:13:01,004] - INFO: Eval PSNR (current): 37.339 (3420) SSIM (current): 0.9583 (3420) +[2024-05-20 03:13:01,005] - INFO: Evaluation over. +[2024-05-20 03:13:05,724] - INFO: Epoch 3421/9999, Iter 171000: Loss = 0.014799111522734165, lr = [0.0001] +[2024-05-20 03:13:33,549] - INFO: Epoch 3421/9999, Iter 171020: Loss = 0.01273233164101839, lr = [0.0001] +[2024-05-20 03:14:01,946] - INFO: Epoch 3421/9999, Iter 171040: Loss = 0.01694212295114994, lr = [0.0001] +[2024-05-20 03:14:30,490] - INFO: Epoch 3422/9999, Iter 171060: Loss = 0.019105950370430946, lr = [0.0001] +[2024-05-20 03:14:57,141] - INFO: Epoch 3422/9999, Iter 171080: Loss = 0.014276044443249702, lr = [0.0001] +[2024-05-20 03:15:26,072] - INFO: Epoch 3423/9999, Iter 171100: Loss = 0.011799567379057407, lr = [0.0001] +[2024-05-20 03:15:54,143] - INFO: Epoch 3423/9999, Iter 171120: Loss = 0.009571479633450508, lr = [0.0001] +[2024-05-20 03:16:22,139] - INFO: Epoch 3423/9999, Iter 171140: Loss = 0.013640726916491985, lr = [0.0001] +[2024-05-20 03:16:50,409] - INFO: Epoch 3424/9999, Iter 171160: Loss = 0.011936669237911701, lr = [0.0001] +[2024-05-20 03:17:18,352] - INFO: Epoch 3424/9999, Iter 171180: Loss = 0.016251560300588608, lr = [0.0001] +[2024-05-20 03:17:47,645] - INFO: Epoch 3425/9999, Iter 171200: Loss = 0.01185703743249178, lr = [0.0001] +[2024-05-20 03:18:16,007] - INFO: Epoch 3425/9999, Iter 171220: Loss = 0.012141183950006962, lr = [0.0001] +[2024-05-20 03:18:43,635] - INFO: Epoch 3425/9999, Iter 171240: Loss = 0.014254927635192871, lr = [0.0001] +[2024-05-20 03:18:55,555] - INFO: Evaluate at epoch 3425! +[2024-05-20 03:18:59,628] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 03:18:59,628] - INFO: Eval PSNR (current): 37.430 (3425) SSIM (current): 0.9597 (3425) +[2024-05-20 03:18:59,628] - INFO: Evaluation over. +[2024-05-20 03:19:17,425] - INFO: Epoch 3426/9999, Iter 171260: Loss = 0.012257891707122326, lr = [0.0001] +[2024-05-20 03:19:44,592] - INFO: Epoch 3426/9999, Iter 171280: Loss = 0.012493589892983437, lr = [0.0001] +[2024-05-20 03:20:13,770] - INFO: Epoch 3427/9999, Iter 171300: Loss = 0.01189927477389574, lr = [0.0001] +[2024-05-20 03:20:41,571] - INFO: Epoch 3427/9999, Iter 171320: Loss = 0.01560058631002903, lr = [0.0001] +[2024-05-20 03:21:10,187] - INFO: Epoch 3427/9999, Iter 171340: Loss = 0.011752449907362461, lr = [0.0001] +[2024-05-20 03:21:38,907] - INFO: Epoch 3428/9999, Iter 171360: Loss = 0.017255155369639397, lr = [0.0001] +[2024-05-20 03:22:07,382] - INFO: Epoch 3428/9999, Iter 171380: Loss = 0.013766823336482048, lr = [0.0001] +[2024-05-20 03:22:36,803] - INFO: Epoch 3429/9999, Iter 171400: Loss = 0.010722546838223934, lr = [0.0001] +[2024-05-20 03:23:04,386] - INFO: Epoch 3429/9999, Iter 171420: Loss = 0.01601780764758587, lr = [0.0001] +[2024-05-20 03:23:32,007] - INFO: Epoch 3429/9999, Iter 171440: Loss = 0.012272174470126629, lr = [0.0001] +[2024-05-20 03:24:02,112] - INFO: Epoch 3430/9999, Iter 171460: Loss = 0.01850912533700466, lr = [0.0001] +[2024-05-20 03:24:30,703] - INFO: Epoch 3430/9999, Iter 171480: Loss = 0.013154213316738605, lr = [0.0001] +[2024-05-20 03:24:56,216] - INFO: Evaluate at epoch 3430! +[2024-05-20 03:25:00,285] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 03:25:00,285] - INFO: Eval PSNR (current): 37.724 (3430) SSIM (current): 0.9599 (3430) +[2024-05-20 03:25:00,286] - INFO: Evaluation over. +[2024-05-20 03:25:04,799] - INFO: Epoch 3431/9999, Iter 171500: Loss = 0.017166271805763245, lr = [0.0001] +[2024-05-20 03:25:31,735] - INFO: Epoch 3431/9999, Iter 171520: Loss = 0.011865108273923397, lr = [0.0001] +[2024-05-20 03:25:59,663] - INFO: Epoch 3431/9999, Iter 171540: Loss = 0.014748906716704369, lr = [0.0001] +[2024-05-20 03:26:28,606] - INFO: Epoch 3432/9999, Iter 171560: Loss = 0.013757926411926746, lr = [0.0001] +[2024-05-20 03:26:56,355] - INFO: Epoch 3432/9999, Iter 171580: Loss = 0.008718251250684261, lr = [0.0001] +[2024-05-20 03:27:25,819] - INFO: Epoch 3433/9999, Iter 171600: Loss = 0.0164842139929533, lr = [0.0001] +[2024-05-20 03:27:54,220] - INFO: Epoch 3433/9999, Iter 171620: Loss = 0.015148795209825039, lr = [0.0001] +[2024-05-20 03:28:21,903] - INFO: Epoch 3433/9999, Iter 171640: Loss = 0.012914526276290417, lr = [0.0001] +[2024-05-20 03:28:51,179] - INFO: Epoch 3434/9999, Iter 171660: Loss = 0.015765385702252388, lr = [0.0001] +[2024-05-20 03:29:18,007] - INFO: Epoch 3434/9999, Iter 171680: Loss = 0.009177940897643566, lr = [0.0001] +[2024-05-20 03:29:47,187] - INFO: Epoch 3435/9999, Iter 171700: Loss = 0.008957072161138058, lr = [0.0001] +[2024-05-20 03:30:14,108] - INFO: Epoch 3435/9999, Iter 171720: Loss = 0.009724903851747513, lr = [0.0001] +[2024-05-20 03:30:41,635] - INFO: Epoch 3435/9999, Iter 171740: Loss = 0.015874017030000687, lr = [0.0001] +[2024-05-20 03:30:53,977] - INFO: Evaluate at epoch 3435! +[2024-05-20 03:30:58,050] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 03:30:58,051] - INFO: Eval PSNR (current): 37.852 (3435) SSIM (current): 0.9603 (3435) +[2024-05-20 03:30:58,051] - INFO: Evaluation over. +[2024-05-20 03:31:16,573] - INFO: Epoch 3436/9999, Iter 171760: Loss = 0.013170958496630192, lr = [0.0001] +[2024-05-20 03:31:44,687] - INFO: Epoch 3436/9999, Iter 171780: Loss = 0.011947541497647762, lr = [0.0001] +[2024-05-20 03:32:13,674] - INFO: Epoch 3437/9999, Iter 171800: Loss = 0.008428769186139107, lr = [0.0001] +[2024-05-20 03:32:41,111] - INFO: Epoch 3437/9999, Iter 171820: Loss = 0.013308869674801826, lr = [0.0001] +[2024-05-20 03:33:09,135] - INFO: Epoch 3437/9999, Iter 171840: Loss = 0.010899670422077179, lr = [0.0001] +[2024-05-20 03:33:38,485] - INFO: Epoch 3438/9999, Iter 171860: Loss = 0.012667831964790821, lr = [0.0001] +[2024-05-20 03:34:06,369] - INFO: Epoch 3438/9999, Iter 171880: Loss = 0.013997060246765614, lr = [0.0001] +[2024-05-20 03:34:35,357] - INFO: Epoch 3439/9999, Iter 171900: Loss = 0.014490678906440735, lr = [0.0001] +[2024-05-20 03:35:03,555] - INFO: Epoch 3439/9999, Iter 171920: Loss = 0.011915100738406181, lr = [0.0001] +[2024-05-20 03:35:31,593] - INFO: Epoch 3439/9999, Iter 171940: Loss = 0.01191168837249279, lr = [0.0001] +[2024-05-20 03:36:00,235] - INFO: Epoch 3440/9999, Iter 171960: Loss = 0.014080013148486614, lr = [0.0001] +[2024-05-20 03:36:27,747] - INFO: Epoch 3440/9999, Iter 171980: Loss = 0.014745092019438744, lr = [0.0001] +[2024-05-20 03:36:54,317] - INFO: Evaluate at epoch 3440! +[2024-05-20 03:36:58,386] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 03:36:58,386] - INFO: Eval PSNR (current): 37.815 (3440) SSIM (current): 0.9603 (3440) +[2024-05-20 03:36:58,386] - INFO: Evaluation over. +[2024-05-20 03:37:03,056] - INFO: Epoch 3441/9999, Iter 172000: Loss = 0.012758675962686539, lr = [0.0001] +[2024-05-20 03:37:31,358] - INFO: Epoch 3441/9999, Iter 172020: Loss = 0.012974576093256474, lr = [0.0001] +[2024-05-20 03:37:58,733] - INFO: Epoch 3441/9999, Iter 172040: Loss = 0.010368919000029564, lr = [0.0001] +[2024-05-20 03:38:27,647] - INFO: Epoch 3442/9999, Iter 172060: Loss = 0.011464790441095829, lr = [0.0001] +[2024-05-20 03:38:56,311] - INFO: Epoch 3442/9999, Iter 172080: Loss = 0.011458663269877434, lr = [0.0001] +[2024-05-20 03:39:25,039] - INFO: Epoch 3443/9999, Iter 172100: Loss = 0.010790149681270123, lr = [0.0001] +[2024-05-20 03:39:52,245] - INFO: Epoch 3443/9999, Iter 172120: Loss = 0.020288672298192978, lr = [0.0001] +[2024-05-20 03:40:20,115] - INFO: Epoch 3443/9999, Iter 172140: Loss = 0.012925989925861359, lr = [0.0001] +[2024-05-20 03:40:49,743] - INFO: Epoch 3444/9999, Iter 172160: Loss = 0.01334524154663086, lr = [0.0001] +[2024-05-20 03:41:17,251] - INFO: Epoch 3444/9999, Iter 172180: Loss = 0.013757707551121712, lr = [0.0001] +[2024-05-20 03:41:45,998] - INFO: Epoch 3445/9999, Iter 172200: Loss = 0.013681107200682163, lr = [0.0001] +[2024-05-20 03:42:12,883] - INFO: Epoch 3445/9999, Iter 172220: Loss = 0.015433485619723797, lr = [0.0001] +[2024-05-20 03:42:39,947] - INFO: Epoch 3445/9999, Iter 172240: Loss = 0.013715900480747223, lr = [0.0001] +[2024-05-20 03:42:52,713] - INFO: Evaluate at epoch 3445! +[2024-05-20 03:42:56,783] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 03:42:56,783] - INFO: Eval PSNR (current): 37.907 (3445) SSIM (current): 0.9603 (3445) +[2024-05-20 03:42:56,783] - INFO: Evaluation over. +[2024-05-20 03:43:14,954] - INFO: Epoch 3446/9999, Iter 172260: Loss = 0.014882506802678108, lr = [0.0001] +[2024-05-20 03:43:43,724] - INFO: Epoch 3446/9999, Iter 172280: Loss = 0.0101943239569664, lr = [0.0001] +[2024-05-20 03:44:12,619] - INFO: Epoch 3447/9999, Iter 172300: Loss = 0.009165252558887005, lr = [0.0001] +[2024-05-20 03:44:41,457] - INFO: Epoch 3447/9999, Iter 172320: Loss = 0.015398160554468632, lr = [0.0001] +[2024-05-20 03:45:09,350] - INFO: Epoch 3447/9999, Iter 172340: Loss = 0.015999838709831238, lr = [0.0001] +[2024-05-20 03:45:38,482] - INFO: Epoch 3448/9999, Iter 172360: Loss = 0.01052893791347742, lr = [0.0001] +[2024-05-20 03:46:07,135] - INFO: Epoch 3448/9999, Iter 172380: Loss = 0.012140213511884212, lr = [0.0001] +[2024-05-20 03:46:36,015] - INFO: Epoch 3449/9999, Iter 172400: Loss = 0.020196760073304176, lr = [0.0001] +[2024-05-20 03:47:03,476] - INFO: Epoch 3449/9999, Iter 172420: Loss = 0.015034240670502186, lr = [0.0001] +[2024-05-20 03:47:30,135] - INFO: Epoch 3449/9999, Iter 172440: Loss = 0.014761869795620441, lr = [0.0001] +[2024-05-20 03:47:59,551] - INFO: Epoch 3450/9999, Iter 172460: Loss = 0.009375451132655144, lr = [0.0001] +[2024-05-20 03:48:26,268] - INFO: Epoch 3450/9999, Iter 172480: Loss = 0.01135251671075821, lr = [0.0001] +[2024-05-20 03:48:52,469] - INFO: Evaluate at epoch 3450! +[2024-05-20 03:48:56,543] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 03:48:56,543] - INFO: Eval PSNR (current): 37.858 (3450) SSIM (current): 0.9602 (3450) +[2024-05-20 03:48:56,543] - INFO: Evaluation over. +[2024-05-20 03:49:01,217] - INFO: Epoch 3451/9999, Iter 172500: Loss = 0.018250973895192146, lr = [0.0001] +[2024-05-20 03:49:28,771] - INFO: Epoch 3451/9999, Iter 172520: Loss = 0.013558155857026577, lr = [0.0001] +[2024-05-20 03:49:55,540] - INFO: Epoch 3451/9999, Iter 172540: Loss = 0.013326696120202541, lr = [0.0001] +[2024-05-20 03:50:25,201] - INFO: Epoch 3452/9999, Iter 172560: Loss = 0.007876507937908173, lr = [0.0001] +[2024-05-20 03:50:52,891] - INFO: Epoch 3452/9999, Iter 172580: Loss = 0.012960820458829403, lr = [0.0001] +[2024-05-20 03:51:21,931] - INFO: Epoch 3453/9999, Iter 172600: Loss = 0.01297301147133112, lr = [0.0001] +[2024-05-20 03:51:49,043] - INFO: Epoch 3453/9999, Iter 172620: Loss = 0.013327802531421185, lr = [0.0001] +[2024-05-20 03:52:16,467] - INFO: Epoch 3453/9999, Iter 172640: Loss = 0.016668980941176414, lr = [0.0001] +[2024-05-20 03:52:44,192] - INFO: Epoch 3454/9999, Iter 172660: Loss = 0.007372588850557804, lr = [0.0001] +[2024-05-20 03:53:12,271] - INFO: Epoch 3454/9999, Iter 172680: Loss = 0.010284863412380219, lr = [0.0001] +[2024-05-20 03:53:41,591] - INFO: Epoch 3455/9999, Iter 172700: Loss = 0.012779667973518372, lr = [0.0001] +[2024-05-20 03:54:09,013] - INFO: Epoch 3455/9999, Iter 172720: Loss = 0.009818843565881252, lr = [0.0001] +[2024-05-20 03:54:36,311] - INFO: Epoch 3455/9999, Iter 172740: Loss = 0.011628235690295696, lr = [0.0001] +[2024-05-20 03:54:49,017] - INFO: Evaluate at epoch 3455! +[2024-05-20 03:54:53,086] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 03:54:53,087] - INFO: Eval PSNR (current): 37.896 (3455) SSIM (current): 0.9604 (3455) +[2024-05-20 03:54:53,087] - INFO: Evaluation over. +[2024-05-20 03:55:11,699] - INFO: Epoch 3456/9999, Iter 172760: Loss = 0.014720046892762184, lr = [0.0001] +[2024-05-20 03:55:39,073] - INFO: Epoch 3456/9999, Iter 172780: Loss = 0.01440377626568079, lr = [0.0001] +[2024-05-20 03:56:08,047] - INFO: Epoch 3457/9999, Iter 172800: Loss = 0.015259545296430588, lr = [0.0001] +[2024-05-20 03:56:34,901] - INFO: Epoch 3457/9999, Iter 172820: Loss = 0.011619072407484055, lr = [0.0001] +[2024-05-20 03:57:02,805] - INFO: Epoch 3457/9999, Iter 172840: Loss = 0.01646510884165764, lr = [0.0001] +[2024-05-20 03:57:31,539] - INFO: Epoch 3458/9999, Iter 172860: Loss = 0.010056336410343647, lr = [0.0001] +[2024-05-20 03:57:59,511] - INFO: Epoch 3458/9999, Iter 172880: Loss = 0.010899788700044155, lr = [0.0001] +[2024-05-20 03:58:29,007] - INFO: Epoch 3459/9999, Iter 172900: Loss = 0.01792699471116066, lr = [0.0001] +[2024-05-20 03:58:56,970] - INFO: Epoch 3459/9999, Iter 172920: Loss = 0.010712826624512672, lr = [0.0001] +[2024-05-20 03:59:24,073] - INFO: Epoch 3459/9999, Iter 172940: Loss = 0.017153020948171616, lr = [0.0001] +[2024-05-20 03:59:52,225] - INFO: Epoch 3460/9999, Iter 172960: Loss = 0.01351239625364542, lr = [0.0001] +[2024-05-20 04:00:19,711] - INFO: Epoch 3460/9999, Iter 172980: Loss = 0.013774375431239605, lr = [0.0001] +[2024-05-20 04:00:45,420] - INFO: Evaluate at epoch 3460! +[2024-05-20 04:00:49,491] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 04:00:49,491] - INFO: Eval PSNR (current): 37.894 (3460) SSIM (current): 0.9605 (3460) +[2024-05-20 04:00:49,491] - INFO: Evaluation over. +[2024-05-20 04:00:54,163] - INFO: Epoch 3461/9999, Iter 173000: Loss = 0.012302528135478497, lr = [0.0001] +[2024-05-20 04:01:21,992] - INFO: Epoch 3461/9999, Iter 173020: Loss = 0.016181552782654762, lr = [0.0001] +[2024-05-20 04:01:48,571] - INFO: Epoch 3461/9999, Iter 173040: Loss = 0.00923872645944357, lr = [0.0001] +[2024-05-20 04:02:17,814] - INFO: Epoch 3462/9999, Iter 173060: Loss = 0.010237212292850018, lr = [0.0001] +[2024-05-20 04:02:45,824] - INFO: Epoch 3462/9999, Iter 173080: Loss = 0.01423062663525343, lr = [0.0001] +[2024-05-20 04:03:14,729] - INFO: Epoch 3463/9999, Iter 173100: Loss = 0.012653147801756859, lr = [0.0001] +[2024-05-20 04:03:42,915] - INFO: Epoch 3463/9999, Iter 173120: Loss = 0.012070760130882263, lr = [0.0001] +[2024-05-20 04:04:10,143] - INFO: Epoch 3463/9999, Iter 173140: Loss = 0.008597057312726974, lr = [0.0001] +[2024-05-20 04:04:38,663] - INFO: Epoch 3464/9999, Iter 173160: Loss = 0.015364152379333973, lr = [0.0001] +[2024-05-20 04:05:06,413] - INFO: Epoch 3464/9999, Iter 173180: Loss = 0.01071929931640625, lr = [0.0001] +[2024-05-20 04:05:35,124] - INFO: Epoch 3465/9999, Iter 173200: Loss = 0.008868242613971233, lr = [0.0001] +[2024-05-20 04:06:02,731] - INFO: Epoch 3465/9999, Iter 173220: Loss = 0.014156538061797619, lr = [0.0001] +[2024-05-20 04:06:30,050] - INFO: Epoch 3465/9999, Iter 173240: Loss = 0.007826807908713818, lr = [0.0001] +[2024-05-20 04:06:42,536] - INFO: Evaluate at epoch 3465! +[2024-05-20 04:06:46,606] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 04:06:46,607] - INFO: Eval PSNR (current): 37.753 (3465) SSIM (current): 0.9601 (3465) +[2024-05-20 04:06:46,607] - INFO: Evaluation over. +[2024-05-20 04:07:05,363] - INFO: Epoch 3466/9999, Iter 173260: Loss = 0.009707797318696976, lr = [0.0001] +[2024-05-20 04:07:32,860] - INFO: Epoch 3466/9999, Iter 173280: Loss = 0.010858487337827682, lr = [0.0001] +[2024-05-20 04:08:01,491] - INFO: Epoch 3467/9999, Iter 173300: Loss = 0.026646748185157776, lr = [0.0001] +[2024-05-20 04:08:29,544] - INFO: Epoch 3467/9999, Iter 173320: Loss = 0.012659032829105854, lr = [0.0001] +[2024-05-20 04:08:57,375] - INFO: Epoch 3467/9999, Iter 173340: Loss = 0.01876976154744625, lr = [0.0001] +[2024-05-20 04:09:25,814] - INFO: Epoch 3468/9999, Iter 173360: Loss = 0.009404392912983894, lr = [0.0001] +[2024-05-20 04:09:52,551] - INFO: Epoch 3468/9999, Iter 173380: Loss = 0.01537787914276123, lr = [0.0001] +[2024-05-20 04:10:21,599] - INFO: Epoch 3469/9999, Iter 173400: Loss = 0.010721743106842041, lr = [0.0001] +[2024-05-20 04:10:50,345] - INFO: Epoch 3469/9999, Iter 173420: Loss = 0.01691778004169464, lr = [0.0001] +[2024-05-20 04:11:18,415] - INFO: Epoch 3469/9999, Iter 173440: Loss = 0.016450680792331696, lr = [0.0001] +[2024-05-20 04:11:46,779] - INFO: Epoch 3470/9999, Iter 173460: Loss = 0.015825262293219566, lr = [0.0001] +[2024-05-20 04:12:15,252] - INFO: Epoch 3470/9999, Iter 173480: Loss = 0.013331176713109016, lr = [0.0001] +[2024-05-20 04:12:41,389] - INFO: Evaluate at epoch 3470! +[2024-05-20 04:12:45,456] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 04:12:45,457] - INFO: Eval PSNR (current): 37.915 (3470) SSIM (current): 0.9604 (3470) +[2024-05-20 04:12:45,457] - INFO: Evaluation over. +[2024-05-20 04:12:49,835] - INFO: Epoch 3471/9999, Iter 173500: Loss = 0.01353059895336628, lr = [0.0001] +[2024-05-20 04:13:18,340] - INFO: Epoch 3471/9999, Iter 173520: Loss = 0.013638602569699287, lr = [0.0001] +[2024-05-20 04:13:45,539] - INFO: Epoch 3471/9999, Iter 173540: Loss = 0.009296249598264694, lr = [0.0001] +[2024-05-20 04:14:15,171] - INFO: Epoch 3472/9999, Iter 173560: Loss = 0.014365640468895435, lr = [0.0001] +[2024-05-20 04:14:43,456] - INFO: Epoch 3472/9999, Iter 173580: Loss = 0.015144404955208302, lr = [0.0001] +[2024-05-20 04:15:12,671] - INFO: Epoch 3473/9999, Iter 173600: Loss = 0.011087342165410519, lr = [0.0001] +[2024-05-20 04:15:40,845] - INFO: Epoch 3473/9999, Iter 173620: Loss = 0.011974482797086239, lr = [0.0001] +[2024-05-20 04:16:08,691] - INFO: Epoch 3473/9999, Iter 173640: Loss = 0.012790119275450706, lr = [0.0001] +[2024-05-20 04:16:37,776] - INFO: Epoch 3474/9999, Iter 173660: Loss = 0.01176975853741169, lr = [0.0001] +[2024-05-20 04:17:04,887] - INFO: Epoch 3474/9999, Iter 173680: Loss = 0.013926954008638859, lr = [0.0001] +[2024-05-20 04:17:34,658] - INFO: Epoch 3475/9999, Iter 173700: Loss = 0.014911148697137833, lr = [0.0001] +[2024-05-20 04:18:02,021] - INFO: Epoch 3475/9999, Iter 173720: Loss = 0.01234161201864481, lr = [0.0001] +[2024-05-20 04:18:29,110] - INFO: Epoch 3475/9999, Iter 173740: Loss = 0.01820274628698826, lr = [0.0001] +[2024-05-20 04:18:41,262] - INFO: Evaluate at epoch 3475! +[2024-05-20 04:18:45,332] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 04:18:45,332] - INFO: Eval PSNR (current): 37.893 (3475) SSIM (current): 0.9605 (3475) +[2024-05-20 04:18:45,332] - INFO: Evaluation over. +[2024-05-20 04:19:03,919] - INFO: Epoch 3476/9999, Iter 173760: Loss = 0.012981995940208435, lr = [0.0001] +[2024-05-20 04:19:32,139] - INFO: Epoch 3476/9999, Iter 173780: Loss = 0.009020998142659664, lr = [0.0001] +[2024-05-20 04:20:01,083] - INFO: Epoch 3477/9999, Iter 173800: Loss = 0.014636443927884102, lr = [0.0001] +[2024-05-20 04:20:29,158] - INFO: Epoch 3477/9999, Iter 173820: Loss = 0.017770443111658096, lr = [0.0001] +[2024-05-20 04:20:56,735] - INFO: Epoch 3477/9999, Iter 173840: Loss = 0.01090056262910366, lr = [0.0001] +[2024-05-20 04:21:25,727] - INFO: Epoch 3478/9999, Iter 173860: Loss = 0.010910538025200367, lr = [0.0001] +[2024-05-20 04:21:52,794] - INFO: Epoch 3478/9999, Iter 173880: Loss = 0.010687721893191338, lr = [0.0001] +[2024-05-20 04:22:21,551] - INFO: Epoch 3479/9999, Iter 173900: Loss = 0.018435141071677208, lr = [0.0001] +[2024-05-20 04:22:49,452] - INFO: Epoch 3479/9999, Iter 173920: Loss = 0.011998746544122696, lr = [0.0001] +[2024-05-20 04:23:16,776] - INFO: Epoch 3479/9999, Iter 173940: Loss = 0.010916423052549362, lr = [0.0001] +[2024-05-20 04:23:46,799] - INFO: Epoch 3480/9999, Iter 173960: Loss = 0.0071328626945614815, lr = [0.0001] +[2024-05-20 04:24:14,694] - INFO: Epoch 3480/9999, Iter 173980: Loss = 0.014791102148592472, lr = [0.0001] +[2024-05-20 04:24:40,720] - INFO: Evaluate at epoch 3480! +[2024-05-20 04:24:44,798] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 04:24:44,798] - INFO: Eval PSNR (current): 37.791 (3480) SSIM (current): 0.9602 (3480) +[2024-05-20 04:24:44,798] - INFO: Evaluation over. +[2024-05-20 04:24:49,032] - INFO: Epoch 3481/9999, Iter 174000: Loss = 0.01890101097524166, lr = [0.0001] +[2024-05-20 04:25:17,407] - INFO: Epoch 3481/9999, Iter 174020: Loss = 0.00906973797827959, lr = [0.0001] +[2024-05-20 04:25:44,903] - INFO: Epoch 3481/9999, Iter 174040: Loss = 0.016524020582437515, lr = [0.0001] +[2024-05-20 04:26:13,515] - INFO: Epoch 3482/9999, Iter 174060: Loss = 0.008825046941637993, lr = [0.0001] +[2024-05-20 04:26:40,843] - INFO: Epoch 3482/9999, Iter 174080: Loss = 0.014840316958725452, lr = [0.0001] +[2024-05-20 04:27:10,572] - INFO: Epoch 3483/9999, Iter 174100: Loss = 0.01860147714614868, lr = [0.0001] +[2024-05-20 04:27:39,378] - INFO: Epoch 3483/9999, Iter 174120: Loss = 0.009406724944710732, lr = [0.0001] +[2024-05-20 04:28:06,819] - INFO: Epoch 3483/9999, Iter 174140: Loss = 0.011542321182787418, lr = [0.0001] +[2024-05-20 04:28:35,691] - INFO: Epoch 3484/9999, Iter 174160: Loss = 0.01335564162582159, lr = [0.0001] +[2024-05-20 04:29:03,923] - INFO: Epoch 3484/9999, Iter 174180: Loss = 0.011783112771809101, lr = [0.0001] +[2024-05-20 04:29:32,019] - INFO: Epoch 3485/9999, Iter 174200: Loss = 0.014160726219415665, lr = [0.0001] +[2024-05-20 04:30:00,627] - INFO: Epoch 3485/9999, Iter 174220: Loss = 0.013761350885033607, lr = [0.0001] +[2024-05-20 04:30:28,076] - INFO: Epoch 3485/9999, Iter 174240: Loss = 0.013150466606020927, lr = [0.0001] +[2024-05-20 04:30:40,164] - INFO: Evaluate at epoch 3485! +[2024-05-20 04:30:44,241] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 04:30:44,241] - INFO: Eval PSNR (current): 37.901 (3485) SSIM (current): 0.9604 (3485) +[2024-05-20 04:30:44,241] - INFO: Evaluation over. +[2024-05-20 04:31:02,933] - INFO: Epoch 3486/9999, Iter 174260: Loss = 0.013474978506565094, lr = [0.0001] +[2024-05-20 04:31:30,041] - INFO: Epoch 3486/9999, Iter 174280: Loss = 0.01230661105364561, lr = [0.0001] +[2024-05-20 04:31:59,609] - INFO: Epoch 3487/9999, Iter 174300: Loss = 0.012421248480677605, lr = [0.0001] +[2024-05-20 04:32:27,622] - INFO: Epoch 3487/9999, Iter 174320: Loss = 0.010377174243330956, lr = [0.0001] +[2024-05-20 04:32:55,007] - INFO: Epoch 3487/9999, Iter 174340: Loss = 0.009668953716754913, lr = [0.0001] +[2024-05-20 04:33:24,452] - INFO: Epoch 3488/9999, Iter 174360: Loss = 0.010110861621797085, lr = [0.0001] +[2024-05-20 04:33:52,387] - INFO: Epoch 3488/9999, Iter 174380: Loss = 0.009535441175103188, lr = [0.0001] +[2024-05-20 04:34:21,803] - INFO: Epoch 3489/9999, Iter 174400: Loss = 0.012332472950220108, lr = [0.0001] +[2024-05-20 04:34:50,010] - INFO: Epoch 3489/9999, Iter 174420: Loss = 0.012003392912447453, lr = [0.0001] +[2024-05-20 04:35:17,898] - INFO: Epoch 3489/9999, Iter 174440: Loss = 0.015885004773736, lr = [0.0001] +[2024-05-20 04:35:46,756] - INFO: Epoch 3490/9999, Iter 174460: Loss = 0.013104324229061604, lr = [0.0001] +[2024-05-20 04:36:13,881] - INFO: Epoch 3490/9999, Iter 174480: Loss = 0.015947161242365837, lr = [0.0001] +[2024-05-20 04:36:39,433] - INFO: Evaluate at epoch 3490! +[2024-05-20 04:36:43,511] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 04:36:43,511] - INFO: Eval PSNR (current): 37.891 (3490) SSIM (current): 0.9605 (3490) +[2024-05-20 04:36:43,512] - INFO: Evaluation over. +[2024-05-20 04:36:48,245] - INFO: Epoch 3491/9999, Iter 174500: Loss = 0.016721852123737335, lr = [0.0001] +[2024-05-20 04:37:15,801] - INFO: Epoch 3491/9999, Iter 174520: Loss = 0.014952202327549458, lr = [0.0001] +[2024-05-20 04:37:43,489] - INFO: Epoch 3491/9999, Iter 174540: Loss = 0.012502367608249187, lr = [0.0001] +[2024-05-20 04:38:13,107] - INFO: Epoch 3492/9999, Iter 174560: Loss = 0.015645766630768776, lr = [0.0001] +[2024-05-20 04:38:41,459] - INFO: Epoch 3492/9999, Iter 174580: Loss = 0.009921274147927761, lr = [0.0001] +[2024-05-20 04:39:09,775] - INFO: Epoch 3493/9999, Iter 174600: Loss = 0.012172180227935314, lr = [0.0001] +[2024-05-20 04:39:36,497] - INFO: Epoch 3493/9999, Iter 174620: Loss = 0.013490188866853714, lr = [0.0001] +[2024-05-20 04:40:05,177] - INFO: Epoch 3493/9999, Iter 174640: Loss = 0.010124762542545795, lr = [0.0001] +[2024-05-20 04:40:34,075] - INFO: Epoch 3494/9999, Iter 174660: Loss = 0.012960575520992279, lr = [0.0001] +[2024-05-20 04:41:02,737] - INFO: Epoch 3494/9999, Iter 174680: Loss = 0.014320400543510914, lr = [0.0001] +[2024-05-20 04:41:31,504] - INFO: Epoch 3495/9999, Iter 174700: Loss = 0.017527541145682335, lr = [0.0001] +[2024-05-20 04:41:59,424] - INFO: Epoch 3495/9999, Iter 174720: Loss = 0.009086615405976772, lr = [0.0001] +[2024-05-20 04:42:27,283] - INFO: Epoch 3495/9999, Iter 174740: Loss = 0.012408040463924408, lr = [0.0001] +[2024-05-20 04:42:39,545] - INFO: Evaluate at epoch 3495! +[2024-05-20 04:42:43,614] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 04:42:43,614] - INFO: Eval PSNR (current): 37.829 (3495) SSIM (current): 0.9602 (3495) +[2024-05-20 04:42:43,614] - INFO: Evaluation over. +[2024-05-20 04:43:01,367] - INFO: Epoch 3496/9999, Iter 174760: Loss = 0.012083018198609352, lr = [0.0001] +[2024-05-20 04:43:29,317] - INFO: Epoch 3496/9999, Iter 174780: Loss = 0.02082681842148304, lr = [0.0001] +[2024-05-20 04:43:58,434] - INFO: Epoch 3497/9999, Iter 174800: Loss = 0.020952507853507996, lr = [0.0001] +[2024-05-20 04:44:26,315] - INFO: Epoch 3497/9999, Iter 174820: Loss = 0.015683908015489578, lr = [0.0001] +[2024-05-20 04:44:54,551] - INFO: Epoch 3497/9999, Iter 174840: Loss = 0.008731083944439888, lr = [0.0001] +[2024-05-20 04:45:23,607] - INFO: Epoch 3498/9999, Iter 174860: Loss = 0.012384796515107155, lr = [0.0001] +[2024-05-20 04:45:51,635] - INFO: Epoch 3498/9999, Iter 174880: Loss = 0.011763601563870907, lr = [0.0001] +[2024-05-20 04:46:21,030] - INFO: Epoch 3499/9999, Iter 174900: Loss = 0.012327264994382858, lr = [0.0001] +[2024-05-20 04:46:49,383] - INFO: Epoch 3499/9999, Iter 174920: Loss = 0.012321198359131813, lr = [0.0001] +[2024-05-20 04:47:17,878] - INFO: Epoch 3499/9999, Iter 174940: Loss = 0.011969215236604214, lr = [0.0001] +[2024-05-20 04:47:45,966] - INFO: Epoch 3500/9999, Iter 174960: Loss = 0.013180376030504704, lr = [0.0001] +[2024-05-20 04:48:13,646] - INFO: Epoch 3500/9999, Iter 174980: Loss = 0.01715301163494587, lr = [0.0001] +[2024-05-20 04:48:39,324] - INFO: Evaluate at epoch 3500! +[2024-05-20 04:48:43,394] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 04:48:43,394] - INFO: Eval PSNR (current): 37.838 (3500) SSIM (current): 0.9601 (3500) +[2024-05-20 04:48:43,394] - INFO: Evaluation over. +[2024-05-20 04:48:47,966] - INFO: Epoch 3501/9999, Iter 175000: Loss = 0.017466671764850616, lr = [0.0001] +[2024-05-20 04:49:15,306] - INFO: Epoch 3501/9999, Iter 175020: Loss = 0.011527360416948795, lr = [0.0001] +[2024-05-20 04:49:42,399] - INFO: Epoch 3501/9999, Iter 175040: Loss = 0.014249400235712528, lr = [0.0001] +[2024-05-20 04:50:12,451] - INFO: Epoch 3502/9999, Iter 175060: Loss = 0.011839453130960464, lr = [0.0001] +[2024-05-20 04:50:39,512] - INFO: Epoch 3502/9999, Iter 175080: Loss = 0.015011169016361237, lr = [0.0001] +[2024-05-20 04:51:08,084] - INFO: Epoch 3503/9999, Iter 175100: Loss = 0.01772104576230049, lr = [0.0001] +[2024-05-20 04:51:36,632] - INFO: Epoch 3503/9999, Iter 175120: Loss = 0.016526879742741585, lr = [0.0001] +[2024-05-20 04:52:04,991] - INFO: Epoch 3503/9999, Iter 175140: Loss = 0.01528190914541483, lr = [0.0001] +[2024-05-20 04:52:33,723] - INFO: Epoch 3504/9999, Iter 175160: Loss = 0.015624232590198517, lr = [0.0001] +[2024-05-20 04:53:01,362] - INFO: Epoch 3504/9999, Iter 175180: Loss = 0.012573275715112686, lr = [0.0001] +[2024-05-20 04:53:30,435] - INFO: Epoch 3505/9999, Iter 175200: Loss = 0.014625294134020805, lr = [0.0001] +[2024-05-20 04:53:57,414] - INFO: Epoch 3505/9999, Iter 175220: Loss = 0.01074490137398243, lr = [0.0001] +[2024-05-20 04:54:25,435] - INFO: Epoch 3505/9999, Iter 175240: Loss = 0.01070539839565754, lr = [0.0001] +[2024-05-20 04:54:37,741] - INFO: Evaluate at epoch 3505! +[2024-05-20 04:54:41,813] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 04:54:41,813] - INFO: Eval PSNR (current): 37.916 (3505) SSIM (current): 0.9605 (3505) +[2024-05-20 04:54:41,813] - INFO: Evaluation over. +[2024-05-20 04:55:00,587] - INFO: Epoch 3506/9999, Iter 175260: Loss = 0.011321855708956718, lr = [0.0001] +[2024-05-20 04:55:29,023] - INFO: Epoch 3506/9999, Iter 175280: Loss = 0.01306288130581379, lr = [0.0001] +[2024-05-20 04:55:57,877] - INFO: Epoch 3507/9999, Iter 175300: Loss = 0.012939267791807652, lr = [0.0001] +[2024-05-20 04:56:26,280] - INFO: Epoch 3507/9999, Iter 175320: Loss = 0.014158673584461212, lr = [0.0001] +[2024-05-20 04:56:54,059] - INFO: Epoch 3507/9999, Iter 175340: Loss = 0.01026982069015503, lr = [0.0001] +[2024-05-20 04:57:23,219] - INFO: Epoch 3508/9999, Iter 175360: Loss = 0.013775991275906563, lr = [0.0001] +[2024-05-20 04:57:51,606] - INFO: Epoch 3508/9999, Iter 175380: Loss = 0.012666307389736176, lr = [0.0001] +[2024-05-20 04:58:20,291] - INFO: Epoch 3509/9999, Iter 175400: Loss = 0.011668197810649872, lr = [0.0001] +[2024-05-20 04:58:48,519] - INFO: Epoch 3509/9999, Iter 175420: Loss = 0.006976507604122162, lr = [0.0001] +[2024-05-20 04:59:16,786] - INFO: Epoch 3509/9999, Iter 175440: Loss = 0.011260473169386387, lr = [0.0001] +[2024-05-20 04:59:45,670] - INFO: Epoch 3510/9999, Iter 175460: Loss = 0.01337143499404192, lr = [0.0001] +[2024-05-20 05:00:12,807] - INFO: Epoch 3510/9999, Iter 175480: Loss = 0.01947329007089138, lr = [0.0001] +[2024-05-20 05:00:38,145] - INFO: Evaluate at epoch 3510! +[2024-05-20 05:00:42,621] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 05:00:42,622] - INFO: Eval PSNR (current): 37.940 (3510) SSIM (current): 0.9604 (3510) +[2024-05-20 05:00:42,622] - INFO: Evaluation over. +[2024-05-20 05:00:47,059] - INFO: Epoch 3511/9999, Iter 175500: Loss = 0.010576216503977776, lr = [0.0001] +[2024-05-20 05:01:14,067] - INFO: Epoch 3511/9999, Iter 175520: Loss = 0.018603654578328133, lr = [0.0001] +[2024-05-20 05:01:40,790] - INFO: Epoch 3511/9999, Iter 175540: Loss = 0.015467015095055103, lr = [0.0001] +[2024-05-20 05:02:11,015] - INFO: Epoch 3512/9999, Iter 175560: Loss = 0.008780893869698048, lr = [0.0001] +[2024-05-20 05:02:38,315] - INFO: Epoch 3512/9999, Iter 175580: Loss = 0.012746972031891346, lr = [0.0001] +[2024-05-20 05:03:07,411] - INFO: Epoch 3513/9999, Iter 175600: Loss = 0.010311704128980637, lr = [0.0001] +[2024-05-20 05:03:35,464] - INFO: Epoch 3513/9999, Iter 175620: Loss = 0.01718790829181671, lr = [0.0001] +[2024-05-20 05:04:04,248] - INFO: Epoch 3513/9999, Iter 175640: Loss = 0.01373330969363451, lr = [0.0001] +[2024-05-20 05:04:32,649] - INFO: Epoch 3514/9999, Iter 175660: Loss = 0.011245672591030598, lr = [0.0001] +[2024-05-20 05:05:00,706] - INFO: Epoch 3514/9999, Iter 175680: Loss = 0.013230785727500916, lr = [0.0001] +[2024-05-20 05:05:29,774] - INFO: Epoch 3515/9999, Iter 175700: Loss = 0.00938147772103548, lr = [0.0001] +[2024-05-20 05:05:57,743] - INFO: Epoch 3515/9999, Iter 175720: Loss = 0.014515279792249203, lr = [0.0001] +[2024-05-20 05:06:26,127] - INFO: Epoch 3515/9999, Iter 175740: Loss = 0.014707252383232117, lr = [0.0001] +[2024-05-20 05:06:38,150] - INFO: Evaluate at epoch 3515! +[2024-05-20 05:06:42,235] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 05:06:42,235] - INFO: Eval PSNR (current): 37.873 (3515) SSIM (current): 0.9604 (3515) +[2024-05-20 05:06:42,235] - INFO: Evaluation over. +[2024-05-20 05:07:01,740] - INFO: Epoch 3516/9999, Iter 175760: Loss = 0.009474736638367176, lr = [0.0001] +[2024-05-20 05:07:30,399] - INFO: Epoch 3516/9999, Iter 175780: Loss = 0.015672896057367325, lr = [0.0001] +[2024-05-20 05:07:58,672] - INFO: Epoch 3517/9999, Iter 175800: Loss = 0.009858309291303158, lr = [0.0001] +[2024-05-20 05:08:27,012] - INFO: Epoch 3517/9999, Iter 175820: Loss = 0.014197858050465584, lr = [0.0001] +[2024-05-20 05:08:54,772] - INFO: Epoch 3517/9999, Iter 175840: Loss = 0.01474473625421524, lr = [0.0001] +[2024-05-20 05:09:23,548] - INFO: Epoch 3518/9999, Iter 175860: Loss = 0.01843821071088314, lr = [0.0001] +[2024-05-20 05:09:50,676] - INFO: Epoch 3518/9999, Iter 175880: Loss = 0.019197825342416763, lr = [0.0001] +[2024-05-20 05:10:19,790] - INFO: Epoch 3519/9999, Iter 175900: Loss = 0.00911280419677496, lr = [0.0001] +[2024-05-20 05:10:48,184] - INFO: Epoch 3519/9999, Iter 175920: Loss = 0.010648972354829311, lr = [0.0001] +[2024-05-20 05:11:16,023] - INFO: Epoch 3519/9999, Iter 175940: Loss = 0.012379764579236507, lr = [0.0001] +[2024-05-20 05:11:44,403] - INFO: Epoch 3520/9999, Iter 175960: Loss = 0.013263700529932976, lr = [0.0001] +[2024-05-20 05:12:11,123] - INFO: Epoch 3520/9999, Iter 175980: Loss = 0.010026002302765846, lr = [0.0001] +[2024-05-20 05:12:37,136] - INFO: Evaluate at epoch 3520! +[2024-05-20 05:12:41,294] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 05:12:41,295] - INFO: Eval PSNR (current): 37.874 (3520) SSIM (current): 0.9604 (3520) +[2024-05-20 05:12:41,295] - INFO: Evaluation over. +[2024-05-20 05:12:45,823] - INFO: Epoch 3521/9999, Iter 176000: Loss = 0.01771315187215805, lr = [0.0001] +[2024-05-20 05:13:12,831] - INFO: Epoch 3521/9999, Iter 176020: Loss = 0.011643820442259312, lr = [0.0001] +[2024-05-20 05:13:41,479] - INFO: Epoch 3521/9999, Iter 176040: Loss = 0.008254410699009895, lr = [0.0001] +[2024-05-20 05:14:10,931] - INFO: Epoch 3522/9999, Iter 176060: Loss = 0.014755661599338055, lr = [0.0001] +[2024-05-20 05:14:38,255] - INFO: Epoch 3522/9999, Iter 176080: Loss = 0.009274197742342949, lr = [0.0001] +[2024-05-20 05:15:06,707] - INFO: Epoch 3523/9999, Iter 176100: Loss = 0.01695118471980095, lr = [0.0001] +[2024-05-20 05:15:34,923] - INFO: Epoch 3523/9999, Iter 176120: Loss = 0.013235924765467644, lr = [0.0001] +[2024-05-20 05:16:02,907] - INFO: Epoch 3523/9999, Iter 176140: Loss = 0.015306678600609303, lr = [0.0001] +[2024-05-20 05:16:31,312] - INFO: Epoch 3524/9999, Iter 176160: Loss = 0.014380591921508312, lr = [0.0001] +[2024-05-20 05:16:57,982] - INFO: Epoch 3524/9999, Iter 176180: Loss = 0.014200294390320778, lr = [0.0001] +[2024-05-20 05:17:26,695] - INFO: Epoch 3525/9999, Iter 176200: Loss = 0.016337044537067413, lr = [0.0001] +[2024-05-20 05:17:54,883] - INFO: Epoch 3525/9999, Iter 176220: Loss = 0.010858001187443733, lr = [0.0001] +[2024-05-20 05:18:21,767] - INFO: Epoch 3525/9999, Iter 176240: Loss = 0.012101173400878906, lr = [0.0001] +[2024-05-20 05:18:34,025] - INFO: Evaluate at epoch 3525! +[2024-05-20 05:18:38,095] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 05:18:38,095] - INFO: Eval PSNR (current): 37.826 (3525) SSIM (current): 0.9601 (3525) +[2024-05-20 05:18:38,095] - INFO: Evaluation over. +[2024-05-20 05:18:56,195] - INFO: Epoch 3526/9999, Iter 176260: Loss = 0.008508705534040928, lr = [0.0001] +[2024-05-20 05:19:24,949] - INFO: Epoch 3526/9999, Iter 176280: Loss = 0.013397679664194584, lr = [0.0001] +[2024-05-20 05:19:53,551] - INFO: Epoch 3527/9999, Iter 176300: Loss = 0.014913039281964302, lr = [0.0001] +[2024-05-20 05:20:20,938] - INFO: Epoch 3527/9999, Iter 176320: Loss = 0.013645131140947342, lr = [0.0001] +[2024-05-20 05:20:48,199] - INFO: Epoch 3527/9999, Iter 176340: Loss = 0.01876453496515751, lr = [0.0001] +[2024-05-20 05:21:18,283] - INFO: Epoch 3528/9999, Iter 176360: Loss = 0.009854733943939209, lr = [0.0001] +[2024-05-20 05:21:46,606] - INFO: Epoch 3528/9999, Iter 176380: Loss = 0.012449926696717739, lr = [0.0001] +[2024-05-20 05:22:14,779] - INFO: Epoch 3529/9999, Iter 176400: Loss = 0.014909769408404827, lr = [0.0001] +[2024-05-20 05:22:43,063] - INFO: Epoch 3529/9999, Iter 176420: Loss = 0.01544567197561264, lr = [0.0001] +[2024-05-20 05:23:10,848] - INFO: Epoch 3529/9999, Iter 176440: Loss = 0.013135666027665138, lr = [0.0001] +[2024-05-20 05:23:39,563] - INFO: Epoch 3530/9999, Iter 176460: Loss = 0.01025319192558527, lr = [0.0001] +[2024-05-20 05:24:07,910] - INFO: Epoch 3530/9999, Iter 176480: Loss = 0.011918792501091957, lr = [0.0001] +[2024-05-20 05:24:33,783] - INFO: Evaluate at epoch 3530! +[2024-05-20 05:24:37,857] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 05:24:37,857] - INFO: Eval PSNR (current): 37.871 (3530) SSIM (current): 0.9605 (3530) +[2024-05-20 05:24:37,857] - INFO: Evaluation over. +[2024-05-20 05:24:42,461] - INFO: Epoch 3531/9999, Iter 176500: Loss = 0.01401057094335556, lr = [0.0001] +[2024-05-20 05:25:10,773] - INFO: Epoch 3531/9999, Iter 176520: Loss = 0.014826275408267975, lr = [0.0001] +[2024-05-20 05:25:38,308] - INFO: Epoch 3531/9999, Iter 176540: Loss = 0.016283048316836357, lr = [0.0001] +[2024-05-20 05:26:07,349] - INFO: Epoch 3532/9999, Iter 176560: Loss = 0.01778789423406124, lr = [0.0001] +[2024-05-20 05:26:34,657] - INFO: Epoch 3532/9999, Iter 176580: Loss = 0.015138886868953705, lr = [0.0001] +[2024-05-20 05:27:03,567] - INFO: Epoch 3533/9999, Iter 176600: Loss = 0.016196973621845245, lr = [0.0001] +[2024-05-20 05:27:31,706] - INFO: Epoch 3533/9999, Iter 176620: Loss = 0.01277695782482624, lr = [0.0001] +[2024-05-20 05:27:59,062] - INFO: Epoch 3533/9999, Iter 176640: Loss = 0.012252888642251492, lr = [0.0001] +[2024-05-20 05:28:28,127] - INFO: Epoch 3534/9999, Iter 176660: Loss = 0.013796161860227585, lr = [0.0001] +[2024-05-20 05:28:56,098] - INFO: Epoch 3534/9999, Iter 176680: Loss = 0.01277258899062872, lr = [0.0001] +[2024-05-20 05:29:24,770] - INFO: Epoch 3535/9999, Iter 176700: Loss = 0.01204290147870779, lr = [0.0001] +[2024-05-20 05:29:52,507] - INFO: Epoch 3535/9999, Iter 176720: Loss = 0.015695845708251, lr = [0.0001] +[2024-05-20 05:30:20,583] - INFO: Epoch 3535/9999, Iter 176740: Loss = 0.010189742781221867, lr = [0.0001] +[2024-05-20 05:30:32,914] - INFO: Evaluate at epoch 3535! +[2024-05-20 05:30:36,986] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 05:30:36,986] - INFO: Eval PSNR (current): 37.897 (3535) SSIM (current): 0.9604 (3535) +[2024-05-20 05:30:36,986] - INFO: Evaluation over. +[2024-05-20 05:30:54,793] - INFO: Epoch 3536/9999, Iter 176760: Loss = 0.01149289496243, lr = [0.0001] +[2024-05-20 05:31:22,744] - INFO: Epoch 3536/9999, Iter 176780: Loss = 0.010708140209317207, lr = [0.0001] +[2024-05-20 05:31:51,707] - INFO: Epoch 3537/9999, Iter 176800: Loss = 0.009982774034142494, lr = [0.0001] +[2024-05-20 05:32:19,267] - INFO: Epoch 3537/9999, Iter 176820: Loss = 0.011331642977893353, lr = [0.0001] +[2024-05-20 05:32:47,607] - INFO: Epoch 3537/9999, Iter 176840: Loss = 0.015445679426193237, lr = [0.0001] +[2024-05-20 05:33:16,833] - INFO: Epoch 3538/9999, Iter 176860: Loss = 0.016196051612496376, lr = [0.0001] +[2024-05-20 05:33:44,262] - INFO: Epoch 3538/9999, Iter 176880: Loss = 0.009489019401371479, lr = [0.0001] +[2024-05-20 05:34:13,908] - INFO: Epoch 3539/9999, Iter 176900: Loss = 0.014880799688398838, lr = [0.0001] +[2024-05-20 05:34:42,212] - INFO: Epoch 3539/9999, Iter 176920: Loss = 0.013934159651398659, lr = [0.0001] +[2024-05-20 05:35:10,039] - INFO: Epoch 3539/9999, Iter 176940: Loss = 0.010410319082438946, lr = [0.0001] +[2024-05-20 05:35:38,886] - INFO: Epoch 3540/9999, Iter 176960: Loss = 0.0118349464610219, lr = [0.0001] +[2024-05-20 05:36:05,436] - INFO: Epoch 3540/9999, Iter 176980: Loss = 0.01321642566472292, lr = [0.0001] +[2024-05-20 05:36:32,210] - INFO: Evaluate at epoch 3540! +[2024-05-20 05:36:36,299] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 05:36:36,300] - INFO: Eval PSNR (current): 37.896 (3540) SSIM (current): 0.9604 (3540) +[2024-05-20 05:36:36,300] - INFO: Evaluation over. +[2024-05-20 05:36:40,999] - INFO: Epoch 3541/9999, Iter 177000: Loss = 0.01401069201529026, lr = [0.0001] +[2024-05-20 05:37:08,679] - INFO: Epoch 3541/9999, Iter 177020: Loss = 0.013956265524029732, lr = [0.0001] +[2024-05-20 05:37:37,014] - INFO: Epoch 3541/9999, Iter 177040: Loss = 0.015263382345438004, lr = [0.0001] +[2024-05-20 05:38:05,975] - INFO: Epoch 3542/9999, Iter 177060: Loss = 0.01188470795750618, lr = [0.0001] +[2024-05-20 05:38:33,762] - INFO: Epoch 3542/9999, Iter 177080: Loss = 0.009167389012873173, lr = [0.0001] +[2024-05-20 05:39:02,246] - INFO: Epoch 3543/9999, Iter 177100: Loss = 0.01325411256402731, lr = [0.0001] +[2024-05-20 05:39:29,910] - INFO: Epoch 3543/9999, Iter 177120: Loss = 0.017105475068092346, lr = [0.0001] +[2024-05-20 05:39:58,605] - INFO: Epoch 3543/9999, Iter 177140: Loss = 0.014357663691043854, lr = [0.0001] +[2024-05-20 05:40:27,874] - INFO: Epoch 3544/9999, Iter 177160: Loss = 0.01562047190964222, lr = [0.0001] +[2024-05-20 05:40:55,703] - INFO: Epoch 3544/9999, Iter 177180: Loss = 0.011688489466905594, lr = [0.0001] +[2024-05-20 05:41:24,839] - INFO: Epoch 3545/9999, Iter 177200: Loss = 0.008787862956523895, lr = [0.0001] +[2024-05-20 05:41:53,328] - INFO: Epoch 3545/9999, Iter 177220: Loss = 0.011568374000489712, lr = [0.0001] +[2024-05-20 05:42:21,975] - INFO: Epoch 3545/9999, Iter 177240: Loss = 0.014328342862427235, lr = [0.0001] +[2024-05-20 05:42:33,761] - INFO: Evaluate at epoch 3545! +[2024-05-20 05:42:37,837] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 05:42:37,837] - INFO: Eval PSNR (current): 37.884 (3545) SSIM (current): 0.9603 (3545) +[2024-05-20 05:42:37,837] - INFO: Evaluation over. +[2024-05-20 05:42:56,002] - INFO: Epoch 3546/9999, Iter 177260: Loss = 0.010121538303792477, lr = [0.0001] +[2024-05-20 05:43:23,476] - INFO: Epoch 3546/9999, Iter 177280: Loss = 0.012953571043908596, lr = [0.0001] +[2024-05-20 05:43:51,963] - INFO: Epoch 3547/9999, Iter 177300: Loss = 0.014243441633880138, lr = [0.0001] +[2024-05-20 05:44:19,920] - INFO: Epoch 3547/9999, Iter 177320: Loss = 0.009023447521030903, lr = [0.0001] +[2024-05-20 05:44:47,731] - INFO: Epoch 3547/9999, Iter 177340: Loss = 0.00785487238317728, lr = [0.0001] +[2024-05-20 05:45:16,687] - INFO: Epoch 3548/9999, Iter 177360: Loss = 0.009901867248117924, lr = [0.0001] +[2024-05-20 05:45:44,064] - INFO: Epoch 3548/9999, Iter 177380: Loss = 0.017132766544818878, lr = [0.0001] +[2024-05-20 05:46:13,775] - INFO: Epoch 3549/9999, Iter 177400: Loss = 0.01314803771674633, lr = [0.0001] +[2024-05-20 05:46:41,623] - INFO: Epoch 3549/9999, Iter 177420: Loss = 0.013792453333735466, lr = [0.0001] +[2024-05-20 05:47:09,368] - INFO: Epoch 3549/9999, Iter 177440: Loss = 0.013512084260582924, lr = [0.0001] +[2024-05-20 05:47:38,671] - INFO: Epoch 3550/9999, Iter 177460: Loss = 0.0190497487783432, lr = [0.0001] +[2024-05-20 05:48:07,440] - INFO: Epoch 3550/9999, Iter 177480: Loss = 0.01771482080221176, lr = [0.0001] +[2024-05-20 05:48:32,726] - INFO: Evaluate at epoch 3550! +[2024-05-20 05:48:36,804] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 05:48:36,805] - INFO: Eval PSNR (current): 37.872 (3550) SSIM (current): 0.9603 (3550) +[2024-05-20 05:48:36,805] - INFO: Evaluation over. +[2024-05-20 05:48:41,386] - INFO: Epoch 3551/9999, Iter 177500: Loss = 0.012662934139370918, lr = [0.0001] +[2024-05-20 05:49:09,766] - INFO: Epoch 3551/9999, Iter 177520: Loss = 0.01299449522048235, lr = [0.0001] +[2024-05-20 05:49:38,292] - INFO: Epoch 3551/9999, Iter 177540: Loss = 0.017186613753437996, lr = [0.0001] +[2024-05-20 05:50:06,304] - INFO: Epoch 3552/9999, Iter 177560: Loss = 0.009509849362075329, lr = [0.0001] +[2024-05-20 05:50:33,660] - INFO: Epoch 3552/9999, Iter 177580: Loss = 0.014851151034235954, lr = [0.0001] +[2024-05-20 05:51:03,259] - INFO: Epoch 3553/9999, Iter 177600: Loss = 0.012747514992952347, lr = [0.0001] +[2024-05-20 05:51:30,297] - INFO: Epoch 3553/9999, Iter 177620: Loss = 0.009414386004209518, lr = [0.0001] +[2024-05-20 05:51:57,767] - INFO: Epoch 3553/9999, Iter 177640: Loss = 0.01530501153320074, lr = [0.0001] +[2024-05-20 05:52:27,095] - INFO: Epoch 3554/9999, Iter 177660: Loss = 0.01479623094201088, lr = [0.0001] +[2024-05-20 05:52:54,767] - INFO: Epoch 3554/9999, Iter 177680: Loss = 0.017198536545038223, lr = [0.0001] +[2024-05-20 05:53:23,692] - INFO: Epoch 3555/9999, Iter 177700: Loss = 0.020815875381231308, lr = [0.0001] +[2024-05-20 05:53:51,307] - INFO: Epoch 3555/9999, Iter 177720: Loss = 0.010482399724423885, lr = [0.0001] +[2024-05-20 05:54:19,641] - INFO: Epoch 3555/9999, Iter 177740: Loss = 0.013678297400474548, lr = [0.0001] +[2024-05-20 05:54:31,981] - INFO: Evaluate at epoch 3555! +[2024-05-20 05:54:36,052] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 05:54:36,053] - INFO: Eval PSNR (current): 37.898 (3555) SSIM (current): 0.9604 (3555) +[2024-05-20 05:54:36,053] - INFO: Evaluation over. +[2024-05-20 05:54:55,139] - INFO: Epoch 3556/9999, Iter 177760: Loss = 0.01506296917796135, lr = [0.0001] +[2024-05-20 05:55:23,347] - INFO: Epoch 3556/9999, Iter 177780: Loss = 0.012043224647641182, lr = [0.0001] +[2024-05-20 05:55:51,708] - INFO: Epoch 3557/9999, Iter 177800: Loss = 0.017946960404515266, lr = [0.0001] +[2024-05-20 05:56:20,089] - INFO: Epoch 3557/9999, Iter 177820: Loss = 0.01572646200656891, lr = [0.0001] +[2024-05-20 05:56:47,114] - INFO: Epoch 3557/9999, Iter 177840: Loss = 0.011889095418155193, lr = [0.0001] +[2024-05-20 05:57:16,894] - INFO: Epoch 3558/9999, Iter 177860: Loss = 0.014884189702570438, lr = [0.0001] +[2024-05-20 05:57:43,829] - INFO: Epoch 3558/9999, Iter 177880: Loss = 0.017654748633503914, lr = [0.0001] +[2024-05-20 05:58:12,243] - INFO: Epoch 3559/9999, Iter 177900: Loss = 0.00946482177823782, lr = [0.0001] +[2024-05-20 05:58:40,874] - INFO: Epoch 3559/9999, Iter 177920: Loss = 0.014228210784494877, lr = [0.0001] +[2024-05-20 05:59:08,239] - INFO: Epoch 3559/9999, Iter 177940: Loss = 0.012701458297669888, lr = [0.0001] +[2024-05-20 05:59:37,836] - INFO: Epoch 3560/9999, Iter 177960: Loss = 0.010156083852052689, lr = [0.0001] +[2024-05-20 06:00:05,463] - INFO: Epoch 3560/9999, Iter 177980: Loss = 0.010379486717283726, lr = [0.0001] +[2024-05-20 06:00:32,277] - INFO: Evaluate at epoch 3560! +[2024-05-20 06:00:36,350] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 06:00:36,350] - INFO: Eval PSNR (current): 37.843 (3560) SSIM (current): 0.9604 (3560) +[2024-05-20 06:00:36,350] - INFO: Evaluation over. +[2024-05-20 06:00:40,902] - INFO: Epoch 3561/9999, Iter 178000: Loss = 0.019528688862919807, lr = [0.0001] +[2024-05-20 06:01:08,047] - INFO: Epoch 3561/9999, Iter 178020: Loss = 0.013476135209202766, lr = [0.0001] +[2024-05-20 06:01:35,463] - INFO: Epoch 3561/9999, Iter 178040: Loss = 0.019005320966243744, lr = [0.0001] +[2024-05-20 06:02:04,655] - INFO: Epoch 3562/9999, Iter 178060: Loss = 0.014134853146970272, lr = [0.0001] +[2024-05-20 06:02:32,755] - INFO: Epoch 3562/9999, Iter 178080: Loss = 0.015522501431405544, lr = [0.0001] +[2024-05-20 06:03:01,295] - INFO: Epoch 3563/9999, Iter 178100: Loss = 0.010291439481079578, lr = [0.0001] +[2024-05-20 06:03:29,067] - INFO: Epoch 3563/9999, Iter 178120: Loss = 0.014510749839246273, lr = [0.0001] +[2024-05-20 06:03:57,029] - INFO: Epoch 3563/9999, Iter 178140: Loss = 0.012165401130914688, lr = [0.0001] +[2024-05-20 06:04:25,811] - INFO: Epoch 3564/9999, Iter 178160: Loss = 0.014877400361001492, lr = [0.0001] +[2024-05-20 06:04:52,945] - INFO: Epoch 3564/9999, Iter 178180: Loss = 0.013121495023369789, lr = [0.0001] +[2024-05-20 06:05:21,935] - INFO: Epoch 3565/9999, Iter 178200: Loss = 0.016145991161465645, lr = [0.0001] +[2024-05-20 06:05:48,947] - INFO: Epoch 3565/9999, Iter 178220: Loss = 0.012353271245956421, lr = [0.0001] +[2024-05-20 06:06:15,827] - INFO: Epoch 3565/9999, Iter 178240: Loss = 0.016328981146216393, lr = [0.0001] +[2024-05-20 06:06:28,266] - INFO: Evaluate at epoch 3565! +[2024-05-20 06:06:32,339] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 06:06:32,339] - INFO: Eval PSNR (current): 37.767 (3565) SSIM (current): 0.9603 (3565) +[2024-05-20 06:06:32,339] - INFO: Evaluation over. +[2024-05-20 06:06:51,283] - INFO: Epoch 3566/9999, Iter 178260: Loss = 0.010614501312375069, lr = [0.0001] +[2024-05-20 06:07:18,803] - INFO: Epoch 3566/9999, Iter 178280: Loss = 0.013765407726168633, lr = [0.0001] +[2024-05-20 06:07:48,019] - INFO: Epoch 3567/9999, Iter 178300: Loss = 0.01775110699236393, lr = [0.0001] +[2024-05-20 06:08:14,730] - INFO: Epoch 3567/9999, Iter 178320: Loss = 0.016879701986908913, lr = [0.0001] +[2024-05-20 06:08:42,012] - INFO: Epoch 3567/9999, Iter 178340: Loss = 0.013349835760891438, lr = [0.0001] +[2024-05-20 06:09:10,655] - INFO: Epoch 3568/9999, Iter 178360: Loss = 0.015332208946347237, lr = [0.0001] +[2024-05-20 06:09:38,529] - INFO: Epoch 3568/9999, Iter 178380: Loss = 0.009830154478549957, lr = [0.0001] +[2024-05-20 06:10:07,875] - INFO: Epoch 3569/9999, Iter 178400: Loss = 0.010912876576185226, lr = [0.0001] +[2024-05-20 06:10:35,657] - INFO: Epoch 3569/9999, Iter 178420: Loss = 0.010489679872989655, lr = [0.0001] +[2024-05-20 06:11:03,479] - INFO: Epoch 3569/9999, Iter 178440: Loss = 0.010024404153227806, lr = [0.0001] +[2024-05-20 06:11:32,416] - INFO: Epoch 3570/9999, Iter 178460: Loss = 0.013800582848489285, lr = [0.0001] +[2024-05-20 06:12:00,161] - INFO: Epoch 3570/9999, Iter 178480: Loss = 0.015029946342110634, lr = [0.0001] +[2024-05-20 06:12:25,936] - INFO: Evaluate at epoch 3570! +[2024-05-20 06:12:30,008] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 06:12:30,008] - INFO: Eval PSNR (current): 37.865 (3570) SSIM (current): 0.9603 (3570) +[2024-05-20 06:12:30,008] - INFO: Evaluation over. +[2024-05-20 06:12:34,899] - INFO: Epoch 3571/9999, Iter 178500: Loss = 0.010704434476792812, lr = [0.0001] +[2024-05-20 06:13:02,023] - INFO: Epoch 3571/9999, Iter 178520: Loss = 0.014693847857415676, lr = [0.0001] +[2024-05-20 06:13:29,827] - INFO: Epoch 3571/9999, Iter 178540: Loss = 0.014476926997303963, lr = [0.0001] +[2024-05-20 06:13:59,111] - INFO: Epoch 3572/9999, Iter 178560: Loss = 0.019701296463608742, lr = [0.0001] +[2024-05-20 06:14:25,516] - INFO: Epoch 3572/9999, Iter 178580: Loss = 0.020483125001192093, lr = [0.0001] +[2024-05-20 06:14:55,715] - INFO: Epoch 3573/9999, Iter 178600: Loss = 0.01434723474085331, lr = [0.0001] +[2024-05-20 06:15:23,995] - INFO: Epoch 3573/9999, Iter 178620: Loss = 0.016506237909197807, lr = [0.0001] +[2024-05-20 06:15:51,239] - INFO: Epoch 3573/9999, Iter 178640: Loss = 0.010578655637800694, lr = [0.0001] +[2024-05-20 06:16:19,063] - INFO: Epoch 3574/9999, Iter 178660: Loss = 0.010518847033381462, lr = [0.0001] +[2024-05-20 06:16:46,534] - INFO: Epoch 3574/9999, Iter 178680: Loss = 0.016818903386592865, lr = [0.0001] +[2024-05-20 06:17:15,754] - INFO: Epoch 3575/9999, Iter 178700: Loss = 0.013834690675139427, lr = [0.0001] +[2024-05-20 06:17:43,653] - INFO: Epoch 3575/9999, Iter 178720: Loss = 0.009828765876591206, lr = [0.0001] +[2024-05-20 06:18:11,697] - INFO: Epoch 3575/9999, Iter 178740: Loss = 0.017052974551916122, lr = [0.0001] +[2024-05-20 06:18:24,133] - INFO: Evaluate at epoch 3575! +[2024-05-20 06:18:28,206] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 06:18:28,206] - INFO: Eval PSNR (current): 37.887 (3575) SSIM (current): 0.9605 (3575) +[2024-05-20 06:18:28,206] - INFO: Evaluation over. +[2024-05-20 06:18:46,096] - INFO: Epoch 3576/9999, Iter 178760: Loss = 0.010258310474455357, lr = [0.0001] +[2024-05-20 06:19:13,811] - INFO: Epoch 3576/9999, Iter 178780: Loss = 0.014249888248741627, lr = [0.0001] +[2024-05-20 06:19:42,478] - INFO: Epoch 3577/9999, Iter 178800: Loss = 0.009291378781199455, lr = [0.0001] +[2024-05-20 06:20:10,791] - INFO: Epoch 3577/9999, Iter 178820: Loss = 0.016990188509225845, lr = [0.0001] +[2024-05-20 06:20:38,298] - INFO: Epoch 3577/9999, Iter 178840: Loss = 0.015414774417877197, lr = [0.0001] +[2024-05-20 06:21:06,976] - INFO: Epoch 3578/9999, Iter 178860: Loss = 0.015918640419840813, lr = [0.0001] +[2024-05-20 06:21:35,345] - INFO: Epoch 3578/9999, Iter 178880: Loss = 0.010786437429487705, lr = [0.0001] +[2024-05-20 06:22:04,775] - INFO: Epoch 3579/9999, Iter 178900: Loss = 0.009787789545953274, lr = [0.0001] +[2024-05-20 06:22:32,791] - INFO: Epoch 3579/9999, Iter 178920: Loss = 0.012624786235392094, lr = [0.0001] +[2024-05-20 06:23:00,651] - INFO: Epoch 3579/9999, Iter 178940: Loss = 0.007917170412838459, lr = [0.0001] +[2024-05-20 06:23:29,879] - INFO: Epoch 3580/9999, Iter 178960: Loss = 0.008035857230424881, lr = [0.0001] +[2024-05-20 06:23:58,107] - INFO: Epoch 3580/9999, Iter 178980: Loss = 0.012092149816453457, lr = [0.0001] +[2024-05-20 06:24:23,853] - INFO: Evaluate at epoch 3580! +[2024-05-20 06:24:27,923] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 06:24:27,924] - INFO: Eval PSNR (current): 37.903 (3580) SSIM (current): 0.9605 (3580) +[2024-05-20 06:24:27,924] - INFO: Evaluation over. +[2024-05-20 06:24:32,487] - INFO: Epoch 3581/9999, Iter 179000: Loss = 0.012247315607964993, lr = [0.0001] +[2024-05-20 06:25:00,270] - INFO: Epoch 3581/9999, Iter 179020: Loss = 0.017731694504618645, lr = [0.0001] +[2024-05-20 06:25:28,147] - INFO: Epoch 3581/9999, Iter 179040: Loss = 0.01127911638468504, lr = [0.0001] +[2024-05-20 06:25:57,401] - INFO: Epoch 3582/9999, Iter 179060: Loss = 0.017401311546564102, lr = [0.0001] +[2024-05-20 06:26:25,453] - INFO: Epoch 3582/9999, Iter 179080: Loss = 0.016512801870703697, lr = [0.0001] +[2024-05-20 06:26:54,524] - INFO: Epoch 3583/9999, Iter 179100: Loss = 0.022360002622008324, lr = [0.0001] +[2024-05-20 06:27:22,723] - INFO: Epoch 3583/9999, Iter 179120: Loss = 0.0146061722189188, lr = [0.0001] +[2024-05-20 06:27:51,146] - INFO: Epoch 3583/9999, Iter 179140: Loss = 0.009993601590394974, lr = [0.0001] +[2024-05-20 06:28:19,987] - INFO: Epoch 3584/9999, Iter 179160: Loss = 0.009549742564558983, lr = [0.0001] +[2024-05-20 06:28:47,519] - INFO: Epoch 3584/9999, Iter 179180: Loss = 0.011114736087620258, lr = [0.0001] +[2024-05-20 06:29:15,683] - INFO: Epoch 3585/9999, Iter 179200: Loss = 0.01113221701234579, lr = [0.0001] +[2024-05-20 06:29:42,603] - INFO: Epoch 3585/9999, Iter 179220: Loss = 0.012275676243007183, lr = [0.0001] +[2024-05-20 06:30:11,616] - INFO: Epoch 3585/9999, Iter 179240: Loss = 0.0073404209688305855, lr = [0.0001] +[2024-05-20 06:30:23,228] - INFO: Evaluate at epoch 3585! +[2024-05-20 06:30:27,297] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 06:30:27,298] - INFO: Eval PSNR (current): 37.813 (3585) SSIM (current): 0.9603 (3585) +[2024-05-20 06:30:27,298] - INFO: Evaluation over. +[2024-05-20 06:30:46,075] - INFO: Epoch 3586/9999, Iter 179260: Loss = 0.013949930667877197, lr = [0.0001] +[2024-05-20 06:31:14,069] - INFO: Epoch 3586/9999, Iter 179280: Loss = 0.014398934319615364, lr = [0.0001] +[2024-05-20 06:31:43,234] - INFO: Epoch 3587/9999, Iter 179300: Loss = 0.00728002842515707, lr = [0.0001] +[2024-05-20 06:32:10,215] - INFO: Epoch 3587/9999, Iter 179320: Loss = 0.012386852875351906, lr = [0.0001] +[2024-05-20 06:32:37,685] - INFO: Epoch 3587/9999, Iter 179340: Loss = 0.01140484306961298, lr = [0.0001] +[2024-05-20 06:33:07,119] - INFO: Epoch 3588/9999, Iter 179360: Loss = 0.012042255140841007, lr = [0.0001] +[2024-05-20 06:33:35,471] - INFO: Epoch 3588/9999, Iter 179380: Loss = 0.00962027721107006, lr = [0.0001] +[2024-05-20 06:34:04,393] - INFO: Epoch 3589/9999, Iter 179400: Loss = 0.01718384400010109, lr = [0.0001] +[2024-05-20 06:34:32,515] - INFO: Epoch 3589/9999, Iter 179420: Loss = 0.0126101179048419, lr = [0.0001] +[2024-05-20 06:35:00,711] - INFO: Epoch 3589/9999, Iter 179440: Loss = 0.012700534425675869, lr = [0.0001] +[2024-05-20 06:35:29,803] - INFO: Epoch 3590/9999, Iter 179460: Loss = 0.01394403725862503, lr = [0.0001] +[2024-05-20 06:35:57,071] - INFO: Epoch 3590/9999, Iter 179480: Loss = 0.0133315809071064, lr = [0.0001] +[2024-05-20 06:36:23,027] - INFO: Evaluate at epoch 3590! +[2024-05-20 06:36:27,165] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 06:36:27,165] - INFO: Eval PSNR (current): 37.858 (3590) SSIM (current): 0.9603 (3590) +[2024-05-20 06:36:27,165] - INFO: Evaluation over. +[2024-05-20 06:36:31,678] - INFO: Epoch 3591/9999, Iter 179500: Loss = 0.011683208867907524, lr = [0.0001] +[2024-05-20 06:36:59,019] - INFO: Epoch 3591/9999, Iter 179520: Loss = 0.01368388906121254, lr = [0.0001] +[2024-05-20 06:37:25,927] - INFO: Epoch 3591/9999, Iter 179540: Loss = 0.01132203172892332, lr = [0.0001] +[2024-05-20 06:37:55,238] - INFO: Epoch 3592/9999, Iter 179560: Loss = 0.010341626591980457, lr = [0.0001] +[2024-05-20 06:38:21,915] - INFO: Epoch 3592/9999, Iter 179580: Loss = 0.016068335622549057, lr = [0.0001] +[2024-05-20 06:38:50,757] - INFO: Epoch 3593/9999, Iter 179600: Loss = 0.019350875169038773, lr = [0.0001] +[2024-05-20 06:39:19,919] - INFO: Epoch 3593/9999, Iter 179620: Loss = 0.012753499671816826, lr = [0.0001] +[2024-05-20 06:39:47,231] - INFO: Epoch 3593/9999, Iter 179640: Loss = 0.01263444498181343, lr = [0.0001] +[2024-05-20 06:40:16,821] - INFO: Epoch 3594/9999, Iter 179660: Loss = 0.01521956268697977, lr = [0.0001] +[2024-05-20 06:40:44,411] - INFO: Epoch 3594/9999, Iter 179680: Loss = 0.013640039600431919, lr = [0.0001] +[2024-05-20 06:41:12,956] - INFO: Epoch 3595/9999, Iter 179700: Loss = 0.011651534587144852, lr = [0.0001] +[2024-05-20 06:41:41,075] - INFO: Epoch 3595/9999, Iter 179720: Loss = 0.012498520314693451, lr = [0.0001] +[2024-05-20 06:42:08,987] - INFO: Epoch 3595/9999, Iter 179740: Loss = 0.01424062717705965, lr = [0.0001] +[2024-05-20 06:42:21,134] - INFO: Evaluate at epoch 3595! +[2024-05-20 06:42:25,204] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 06:42:25,204] - INFO: Eval PSNR (current): 37.930 (3595) SSIM (current): 0.9606 (3595) +[2024-05-20 06:42:25,204] - INFO: Evaluation over. +[2024-05-20 06:42:43,907] - INFO: Epoch 3596/9999, Iter 179760: Loss = 0.014072595164179802, lr = [0.0001] +[2024-05-20 06:43:11,451] - INFO: Epoch 3596/9999, Iter 179780: Loss = 0.021061385050415993, lr = [0.0001] +[2024-05-20 06:43:39,635] - INFO: Epoch 3597/9999, Iter 179800: Loss = 0.01656320132315159, lr = [0.0001] +[2024-05-20 06:44:08,724] - INFO: Epoch 3597/9999, Iter 179820: Loss = 0.021941522136330605, lr = [0.0001] +[2024-05-20 06:44:36,408] - INFO: Epoch 3597/9999, Iter 179840: Loss = 0.012205594219267368, lr = [0.0001] +[2024-05-20 06:45:05,171] - INFO: Epoch 3598/9999, Iter 179860: Loss = 0.013915163464844227, lr = [0.0001] +[2024-05-20 06:45:33,018] - INFO: Epoch 3598/9999, Iter 179880: Loss = 0.009598872624337673, lr = [0.0001] +[2024-05-20 06:46:02,603] - INFO: Epoch 3599/9999, Iter 179900: Loss = 0.01189333200454712, lr = [0.0001] +[2024-05-20 06:46:30,221] - INFO: Epoch 3599/9999, Iter 179920: Loss = 0.013542144559323788, lr = [0.0001] +[2024-05-20 06:46:57,601] - INFO: Epoch 3599/9999, Iter 179940: Loss = 0.011349496431648731, lr = [0.0001] +[2024-05-20 06:47:25,927] - INFO: Epoch 3600/9999, Iter 179960: Loss = 0.013872446492314339, lr = [0.0001] +[2024-05-20 06:47:54,199] - INFO: Epoch 3600/9999, Iter 179980: Loss = 0.008413665927946568, lr = [0.0001] +[2024-05-20 06:48:20,712] - INFO: Evaluate at epoch 3600! +[2024-05-20 06:48:24,784] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 06:48:24,785] - INFO: Eval PSNR (current): 37.893 (3600) SSIM (current): 0.9604 (3600) +[2024-05-20 06:48:24,785] - INFO: Evaluation over. +[2024-05-20 06:48:29,427] - INFO: Epoch 3601/9999, Iter 180000: Loss = 0.011953262612223625, lr = [0.0001] +[2024-05-20 06:48:56,243] - INFO: Epoch 3601/9999, Iter 180020: Loss = 0.011488018557429314, lr = [0.0001] +[2024-05-20 06:49:23,875] - INFO: Epoch 3601/9999, Iter 180040: Loss = 0.010265806689858437, lr = [0.0001] +[2024-05-20 06:49:52,432] - INFO: Epoch 3602/9999, Iter 180060: Loss = 0.02101859264075756, lr = [0.0001] +[2024-05-20 06:50:19,517] - INFO: Epoch 3602/9999, Iter 180080: Loss = 0.017015347257256508, lr = [0.0001] +[2024-05-20 06:50:48,739] - INFO: Epoch 3603/9999, Iter 180100: Loss = 0.01435837522149086, lr = [0.0001] +[2024-05-20 06:51:16,919] - INFO: Epoch 3603/9999, Iter 180120: Loss = 0.01672416552901268, lr = [0.0001] +[2024-05-20 06:51:44,563] - INFO: Epoch 3603/9999, Iter 180140: Loss = 0.020273707807064056, lr = [0.0001] +[2024-05-20 06:52:13,596] - INFO: Epoch 3604/9999, Iter 180160: Loss = 0.016935374587774277, lr = [0.0001] +[2024-05-20 06:52:41,184] - INFO: Epoch 3604/9999, Iter 180180: Loss = 0.009695865213871002, lr = [0.0001] +[2024-05-20 06:53:09,491] - INFO: Epoch 3605/9999, Iter 180200: Loss = 0.013766269199550152, lr = [0.0001] +[2024-05-20 06:53:36,273] - INFO: Epoch 3605/9999, Iter 180220: Loss = 0.01652398891746998, lr = [0.0001] +[2024-05-20 06:54:03,037] - INFO: Epoch 3605/9999, Iter 180240: Loss = 0.009372806176543236, lr = [0.0001] +[2024-05-20 06:54:15,619] - INFO: Evaluate at epoch 3605! +[2024-05-20 06:54:19,692] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 06:54:19,692] - INFO: Eval PSNR (current): 37.792 (3605) SSIM (current): 0.9602 (3605) +[2024-05-20 06:54:19,692] - INFO: Evaluation over. +[2024-05-20 06:54:37,771] - INFO: Epoch 3606/9999, Iter 180260: Loss = 0.013243358582258224, lr = [0.0001] +[2024-05-20 06:55:06,487] - INFO: Epoch 3606/9999, Iter 180280: Loss = 0.013197044841945171, lr = [0.0001] +[2024-05-20 06:55:35,539] - INFO: Epoch 3607/9999, Iter 180300: Loss = 0.010757016018033028, lr = [0.0001] +[2024-05-20 06:56:01,588] - INFO: Epoch 3607/9999, Iter 180320: Loss = 0.009992169216275215, lr = [0.0001] +[2024-05-20 06:56:29,403] - INFO: Epoch 3607/9999, Iter 180340: Loss = 0.015010050497949123, lr = [0.0001] +[2024-05-20 06:56:58,967] - INFO: Epoch 3608/9999, Iter 180360: Loss = 0.01614764891564846, lr = [0.0001] +[2024-05-20 06:57:27,219] - INFO: Epoch 3608/9999, Iter 180380: Loss = 0.014032513834536076, lr = [0.0001] +[2024-05-20 06:57:56,051] - INFO: Epoch 3609/9999, Iter 180400: Loss = 0.010269204154610634, lr = [0.0001] +[2024-05-20 06:58:23,635] - INFO: Epoch 3609/9999, Iter 180420: Loss = 0.014808411709964275, lr = [0.0001] +[2024-05-20 06:58:51,960] - INFO: Epoch 3609/9999, Iter 180440: Loss = 0.01071080006659031, lr = [0.0001] +[2024-05-20 06:59:20,742] - INFO: Epoch 3610/9999, Iter 180460: Loss = 0.013170318678021431, lr = [0.0001] +[2024-05-20 06:59:47,919] - INFO: Epoch 3610/9999, Iter 180480: Loss = 0.015228662639856339, lr = [0.0001] +[2024-05-20 07:00:14,021] - INFO: Evaluate at epoch 3610! +[2024-05-20 07:00:18,093] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 07:00:18,093] - INFO: Eval PSNR (current): 37.824 (3610) SSIM (current): 0.9602 (3610) +[2024-05-20 07:00:18,093] - INFO: Evaluation over. +[2024-05-20 07:00:22,897] - INFO: Epoch 3611/9999, Iter 180500: Loss = 0.010584837757050991, lr = [0.0001] +[2024-05-20 07:00:51,275] - INFO: Epoch 3611/9999, Iter 180520: Loss = 0.01160797942429781, lr = [0.0001] +[2024-05-20 07:01:18,847] - INFO: Epoch 3611/9999, Iter 180540: Loss = 0.01871107518672943, lr = [0.0001] +[2024-05-20 07:01:47,220] - INFO: Epoch 3612/9999, Iter 180560: Loss = 0.016978280618786812, lr = [0.0001] +[2024-05-20 07:02:14,867] - INFO: Epoch 3612/9999, Iter 180580: Loss = 0.018232954666018486, lr = [0.0001] +[2024-05-20 07:02:43,296] - INFO: Epoch 3613/9999, Iter 180600: Loss = 0.01771620661020279, lr = [0.0001] +[2024-05-20 07:03:11,839] - INFO: Epoch 3613/9999, Iter 180620: Loss = 0.02079804614186287, lr = [0.0001] +[2024-05-20 07:03:39,704] - INFO: Epoch 3613/9999, Iter 180640: Loss = 0.013185159303247929, lr = [0.0001] +[2024-05-20 07:04:07,899] - INFO: Epoch 3614/9999, Iter 180660: Loss = 0.010624771006405354, lr = [0.0001] +[2024-05-20 07:04:35,071] - INFO: Epoch 3614/9999, Iter 180680: Loss = 0.017913248389959335, lr = [0.0001] +[2024-05-20 07:05:03,407] - INFO: Epoch 3615/9999, Iter 180700: Loss = 0.011702336370944977, lr = [0.0001] +[2024-05-20 07:05:31,687] - INFO: Epoch 3615/9999, Iter 180720: Loss = 0.017390692606568336, lr = [0.0001] +[2024-05-20 07:05:59,610] - INFO: Epoch 3615/9999, Iter 180740: Loss = 0.013882356695830822, lr = [0.0001] +[2024-05-20 07:06:12,051] - INFO: Evaluate at epoch 3615! +[2024-05-20 07:06:16,124] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 07:06:16,124] - INFO: Eval PSNR (current): 37.746 (3615) SSIM (current): 0.9600 (3615) +[2024-05-20 07:06:16,124] - INFO: Evaluation over. +[2024-05-20 07:06:35,079] - INFO: Epoch 3616/9999, Iter 180760: Loss = 0.01547602191567421, lr = [0.0001] +[2024-05-20 07:07:03,094] - INFO: Epoch 3616/9999, Iter 180780: Loss = 0.015784135088324547, lr = [0.0001] +[2024-05-20 07:07:31,642] - INFO: Epoch 3617/9999, Iter 180800: Loss = 0.014981234446167946, lr = [0.0001] +[2024-05-20 07:07:58,851] - INFO: Epoch 3617/9999, Iter 180820: Loss = 0.014105308800935745, lr = [0.0001] +[2024-05-20 07:08:27,280] - INFO: Epoch 3617/9999, Iter 180840: Loss = 0.020276805385947227, lr = [0.0001] +[2024-05-20 07:08:56,208] - INFO: Epoch 3618/9999, Iter 180860: Loss = 0.007404111325740814, lr = [0.0001] +[2024-05-20 07:09:25,036] - INFO: Epoch 3618/9999, Iter 180880: Loss = 0.016735335811972618, lr = [0.0001] +[2024-05-20 07:09:53,652] - INFO: Epoch 3619/9999, Iter 180900: Loss = 0.0145769277587533, lr = [0.0001] +[2024-05-20 07:10:21,911] - INFO: Epoch 3619/9999, Iter 180920: Loss = 0.013893640600144863, lr = [0.0001] +[2024-05-20 07:10:49,459] - INFO: Epoch 3619/9999, Iter 180940: Loss = 0.011022252961993217, lr = [0.0001] +[2024-05-20 07:11:19,487] - INFO: Epoch 3620/9999, Iter 180960: Loss = 0.011246750131249428, lr = [0.0001] +[2024-05-20 07:11:47,299] - INFO: Epoch 3620/9999, Iter 180980: Loss = 0.01921631209552288, lr = [0.0001] +[2024-05-20 07:12:13,266] - INFO: Evaluate at epoch 3620! +[2024-05-20 07:12:17,345] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 07:12:17,345] - INFO: Eval PSNR (current): 37.813 (3620) SSIM (current): 0.9604 (3620) +[2024-05-20 07:12:17,345] - INFO: Evaluation over. +[2024-05-20 07:12:22,569] - INFO: Epoch 3621/9999, Iter 181000: Loss = 0.015427399426698685, lr = [0.0001] +[2024-05-20 07:12:50,891] - INFO: Epoch 3621/9999, Iter 181020: Loss = 0.010256572626531124, lr = [0.0001] +[2024-05-20 07:13:18,595] - INFO: Epoch 3621/9999, Iter 181040: Loss = 0.006846829783171415, lr = [0.0001] +[2024-05-20 07:13:47,635] - INFO: Epoch 3622/9999, Iter 181060: Loss = 0.011500585824251175, lr = [0.0001] +[2024-05-20 07:14:15,627] - INFO: Epoch 3622/9999, Iter 181080: Loss = 0.01708420179784298, lr = [0.0001] +[2024-05-20 07:14:44,519] - INFO: Epoch 3623/9999, Iter 181100: Loss = 0.01197875291109085, lr = [0.0001] +[2024-05-20 07:15:11,424] - INFO: Epoch 3623/9999, Iter 181120: Loss = 0.01656349003314972, lr = [0.0001] +[2024-05-20 07:15:38,732] - INFO: Epoch 3623/9999, Iter 181140: Loss = 0.011556140147149563, lr = [0.0001] +[2024-05-20 07:16:08,171] - INFO: Epoch 3624/9999, Iter 181160: Loss = 0.008805048651993275, lr = [0.0001] +[2024-05-20 07:16:34,883] - INFO: Epoch 3624/9999, Iter 181180: Loss = 0.015587709844112396, lr = [0.0001] +[2024-05-20 07:17:03,336] - INFO: Epoch 3625/9999, Iter 181200: Loss = 0.011000121012330055, lr = [0.0001] +[2024-05-20 07:17:30,207] - INFO: Epoch 3625/9999, Iter 181220: Loss = 0.009733427315950394, lr = [0.0001] +[2024-05-20 07:17:58,121] - INFO: Epoch 3625/9999, Iter 181240: Loss = 0.010631735436618328, lr = [0.0001] +[2024-05-20 07:18:10,735] - INFO: Evaluate at epoch 3625! +[2024-05-20 07:18:14,804] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 07:18:14,804] - INFO: Eval PSNR (current): 37.916 (3625) SSIM (current): 0.9605 (3625) +[2024-05-20 07:18:14,805] - INFO: Evaluation over. +[2024-05-20 07:18:34,421] - INFO: Epoch 3626/9999, Iter 181260: Loss = 0.016715265810489655, lr = [0.0001] +[2024-05-20 07:19:01,915] - INFO: Epoch 3626/9999, Iter 181280: Loss = 0.014740930870175362, lr = [0.0001] +[2024-05-20 07:19:30,887] - INFO: Epoch 3627/9999, Iter 181300: Loss = 0.01405877061188221, lr = [0.0001] +[2024-05-20 07:19:59,894] - INFO: Epoch 3627/9999, Iter 181320: Loss = 0.008277262561023235, lr = [0.0001] +[2024-05-20 07:20:27,345] - INFO: Epoch 3627/9999, Iter 181340: Loss = 0.012346233241260052, lr = [0.0001] +[2024-05-20 07:20:55,881] - INFO: Epoch 3628/9999, Iter 181360: Loss = 0.011656435206532478, lr = [0.0001] +[2024-05-20 07:21:23,217] - INFO: Epoch 3628/9999, Iter 181380: Loss = 0.01745625026524067, lr = [0.0001] +[2024-05-20 07:21:52,694] - INFO: Epoch 3629/9999, Iter 181400: Loss = 0.01520596258342266, lr = [0.0001] +[2024-05-20 07:22:21,415] - INFO: Epoch 3629/9999, Iter 181420: Loss = 0.010910610668361187, lr = [0.0001] +[2024-05-20 07:22:49,604] - INFO: Epoch 3629/9999, Iter 181440: Loss = 0.01664016954600811, lr = [0.0001] +[2024-05-20 07:23:18,203] - INFO: Epoch 3630/9999, Iter 181460: Loss = 0.015370444394648075, lr = [0.0001] +[2024-05-20 07:23:46,739] - INFO: Epoch 3630/9999, Iter 181480: Loss = 0.013401956297457218, lr = [0.0001] +[2024-05-20 07:24:12,688] - INFO: Evaluate at epoch 3630! +[2024-05-20 07:24:16,764] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 07:24:16,764] - INFO: Eval PSNR (current): 37.832 (3630) SSIM (current): 0.9604 (3630) +[2024-05-20 07:24:16,764] - INFO: Evaluation over. +[2024-05-20 07:24:21,991] - INFO: Epoch 3631/9999, Iter 181500: Loss = 0.01966257207095623, lr = [0.0001] +[2024-05-20 07:24:50,298] - INFO: Epoch 3631/9999, Iter 181520: Loss = 0.015387208200991154, lr = [0.0001] +[2024-05-20 07:25:18,051] - INFO: Epoch 3631/9999, Iter 181540: Loss = 0.01221116166561842, lr = [0.0001] +[2024-05-20 07:25:46,855] - INFO: Epoch 3632/9999, Iter 181560: Loss = 0.011679442599415779, lr = [0.0001] +[2024-05-20 07:26:15,000] - INFO: Epoch 3632/9999, Iter 181580: Loss = 0.015150896273553371, lr = [0.0001] +[2024-05-20 07:26:43,952] - INFO: Epoch 3633/9999, Iter 181600: Loss = 0.01993761770427227, lr = [0.0001] +[2024-05-20 07:27:11,595] - INFO: Epoch 3633/9999, Iter 181620: Loss = 0.018171606585383415, lr = [0.0001] +[2024-05-20 07:27:38,582] - INFO: Epoch 3633/9999, Iter 181640: Loss = 0.010853838175535202, lr = [0.0001] +[2024-05-20 07:28:07,874] - INFO: Epoch 3634/9999, Iter 181660: Loss = 0.008123590610921383, lr = [0.0001] +[2024-05-20 07:28:35,811] - INFO: Epoch 3634/9999, Iter 181680: Loss = 0.01357896439731121, lr = [0.0001] +[2024-05-20 07:29:05,112] - INFO: Epoch 3635/9999, Iter 181700: Loss = 0.017085956409573555, lr = [0.0001] +[2024-05-20 07:29:32,939] - INFO: Epoch 3635/9999, Iter 181720: Loss = 0.01048461627215147, lr = [0.0001] +[2024-05-20 07:29:59,554] - INFO: Epoch 3635/9999, Iter 181740: Loss = 0.010694057680666447, lr = [0.0001] +[2024-05-20 07:30:12,011] - INFO: Evaluate at epoch 3635! +[2024-05-20 07:30:16,079] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 07:30:16,079] - INFO: Eval PSNR (current): 37.913 (3635) SSIM (current): 0.9605 (3635) +[2024-05-20 07:30:16,079] - INFO: Evaluation over. +[2024-05-20 07:30:35,191] - INFO: Epoch 3636/9999, Iter 181760: Loss = 0.008721438236534595, lr = [0.0001] +[2024-05-20 07:31:02,858] - INFO: Epoch 3636/9999, Iter 181780: Loss = 0.0107742790132761, lr = [0.0001] +[2024-05-20 07:31:30,991] - INFO: Epoch 3637/9999, Iter 181800: Loss = 0.01579415611922741, lr = [0.0001] +[2024-05-20 07:31:59,539] - INFO: Epoch 3637/9999, Iter 181820: Loss = 0.008375084958970547, lr = [0.0001] +[2024-05-20 07:32:27,207] - INFO: Epoch 3637/9999, Iter 181840: Loss = 0.012380300089716911, lr = [0.0001] +[2024-05-20 07:32:55,618] - INFO: Epoch 3638/9999, Iter 181860: Loss = 0.009181800298392773, lr = [0.0001] +[2024-05-20 07:33:22,759] - INFO: Epoch 3638/9999, Iter 181880: Loss = 0.013343188911676407, lr = [0.0001] +[2024-05-20 07:33:52,259] - INFO: Epoch 3639/9999, Iter 181900: Loss = 0.012882029637694359, lr = [0.0001] +[2024-05-20 07:34:19,641] - INFO: Epoch 3639/9999, Iter 181920: Loss = 0.01857992820441723, lr = [0.0001] +[2024-05-20 07:34:47,831] - INFO: Epoch 3639/9999, Iter 181940: Loss = 0.010997384786605835, lr = [0.0001] +[2024-05-20 07:35:17,543] - INFO: Epoch 3640/9999, Iter 181960: Loss = 0.013259483501315117, lr = [0.0001] +[2024-05-20 07:35:45,639] - INFO: Epoch 3640/9999, Iter 181980: Loss = 0.01103052869439125, lr = [0.0001] +[2024-05-20 07:36:11,815] - INFO: Evaluate at epoch 3640! +[2024-05-20 07:36:15,891] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 07:36:15,891] - INFO: Eval PSNR (current): 37.877 (3640) SSIM (current): 0.9604 (3640) +[2024-05-20 07:36:15,891] - INFO: Evaluation over. +[2024-05-20 07:36:20,546] - INFO: Epoch 3641/9999, Iter 182000: Loss = 0.00851512886583805, lr = [0.0001] +[2024-05-20 07:36:47,646] - INFO: Epoch 3641/9999, Iter 182020: Loss = 0.010686265304684639, lr = [0.0001] +[2024-05-20 07:37:15,090] - INFO: Epoch 3641/9999, Iter 182040: Loss = 0.012596920132637024, lr = [0.0001] +[2024-05-20 07:37:43,765] - INFO: Epoch 3642/9999, Iter 182060: Loss = 0.012006084434688091, lr = [0.0001] +[2024-05-20 07:38:11,792] - INFO: Epoch 3642/9999, Iter 182080: Loss = 0.011158155277371407, lr = [0.0001] +[2024-05-20 07:38:41,035] - INFO: Epoch 3643/9999, Iter 182100: Loss = 0.014658555388450623, lr = [0.0001] +[2024-05-20 07:39:08,879] - INFO: Epoch 3643/9999, Iter 182120: Loss = 0.021151233464479446, lr = [0.0001] +[2024-05-20 07:39:37,049] - INFO: Epoch 3643/9999, Iter 182140: Loss = 0.015233469195663929, lr = [0.0001] +[2024-05-20 07:40:06,034] - INFO: Epoch 3644/9999, Iter 182160: Loss = 0.012577323243021965, lr = [0.0001] +[2024-05-20 07:40:34,447] - INFO: Epoch 3644/9999, Iter 182180: Loss = 0.01558757945895195, lr = [0.0001] +[2024-05-20 07:41:03,564] - INFO: Epoch 3645/9999, Iter 182200: Loss = 0.015331003814935684, lr = [0.0001] +[2024-05-20 07:41:30,435] - INFO: Epoch 3645/9999, Iter 182220: Loss = 0.012931359931826591, lr = [0.0001] +[2024-05-20 07:41:58,715] - INFO: Epoch 3645/9999, Iter 182240: Loss = 0.01848808489739895, lr = [0.0001] +[2024-05-20 07:42:10,634] - INFO: Evaluate at epoch 3645! +[2024-05-20 07:42:14,722] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 07:42:14,723] - INFO: Eval PSNR (current): 37.903 (3645) SSIM (current): 0.9605 (3645) +[2024-05-20 07:42:14,723] - INFO: Evaluation over. +[2024-05-20 07:42:32,448] - INFO: Epoch 3646/9999, Iter 182260: Loss = 0.00851191021502018, lr = [0.0001] +[2024-05-20 07:42:59,495] - INFO: Epoch 3646/9999, Iter 182280: Loss = 0.013182113878428936, lr = [0.0001] +[2024-05-20 07:43:28,358] - INFO: Epoch 3647/9999, Iter 182300: Loss = 0.023295851424336433, lr = [0.0001] +[2024-05-20 07:43:55,150] - INFO: Epoch 3647/9999, Iter 182320: Loss = 0.009062981233000755, lr = [0.0001] +[2024-05-20 07:44:22,671] - INFO: Epoch 3647/9999, Iter 182340: Loss = 0.011260220780968666, lr = [0.0001] +[2024-05-20 07:44:51,880] - INFO: Epoch 3648/9999, Iter 182360: Loss = 0.013305182568728924, lr = [0.0001] +[2024-05-20 07:45:18,684] - INFO: Epoch 3648/9999, Iter 182380: Loss = 0.013284177519381046, lr = [0.0001] +[2024-05-20 07:45:48,492] - INFO: Epoch 3649/9999, Iter 182400: Loss = 0.013054338283836842, lr = [0.0001] +[2024-05-20 07:46:15,785] - INFO: Epoch 3649/9999, Iter 182420: Loss = 0.014651915989816189, lr = [0.0001] +[2024-05-20 07:46:44,656] - INFO: Epoch 3649/9999, Iter 182440: Loss = 0.017531150951981544, lr = [0.0001] +[2024-05-20 07:47:14,318] - INFO: Epoch 3650/9999, Iter 182460: Loss = 0.013084343634545803, lr = [0.0001] +[2024-05-20 07:47:42,152] - INFO: Epoch 3650/9999, Iter 182480: Loss = 0.012976043857634068, lr = [0.0001] +[2024-05-20 07:48:08,218] - INFO: Evaluate at epoch 3650! +[2024-05-20 07:48:12,289] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 07:48:12,290] - INFO: Eval PSNR (current): 37.920 (3650) SSIM (current): 0.9606 (3650) +[2024-05-20 07:48:12,290] - INFO: Evaluation over. +[2024-05-20 07:48:16,927] - INFO: Epoch 3651/9999, Iter 182500: Loss = 0.0069490219466388226, lr = [0.0001] +[2024-05-20 07:48:44,743] - INFO: Epoch 3651/9999, Iter 182520: Loss = 0.016984714195132256, lr = [0.0001] +[2024-05-20 07:49:12,471] - INFO: Epoch 3651/9999, Iter 182540: Loss = 0.010065178386867046, lr = [0.0001] +[2024-05-20 07:49:41,100] - INFO: Epoch 3652/9999, Iter 182560: Loss = 0.01584264449775219, lr = [0.0001] +[2024-05-20 07:50:08,073] - INFO: Epoch 3652/9999, Iter 182580: Loss = 0.014014522545039654, lr = [0.0001] +[2024-05-20 07:50:37,411] - INFO: Epoch 3653/9999, Iter 182600: Loss = 0.010333270765841007, lr = [0.0001] +[2024-05-20 07:51:05,571] - INFO: Epoch 3653/9999, Iter 182620: Loss = 0.017483016476035118, lr = [0.0001] +[2024-05-20 07:51:33,339] - INFO: Epoch 3653/9999, Iter 182640: Loss = 0.010573354549705982, lr = [0.0001] +[2024-05-20 07:52:02,187] - INFO: Epoch 3654/9999, Iter 182660: Loss = 0.01778143085539341, lr = [0.0001] +[2024-05-20 07:52:29,559] - INFO: Epoch 3654/9999, Iter 182680: Loss = 0.013929779641330242, lr = [0.0001] +[2024-05-20 07:52:58,759] - INFO: Epoch 3655/9999, Iter 182700: Loss = 0.019935211166739464, lr = [0.0001] +[2024-05-20 07:53:25,847] - INFO: Epoch 3655/9999, Iter 182720: Loss = 0.013286396861076355, lr = [0.0001] +[2024-05-20 07:53:53,000] - INFO: Epoch 3655/9999, Iter 182740: Loss = 0.016966575756669044, lr = [0.0001] +[2024-05-20 07:54:05,439] - INFO: Evaluate at epoch 3655! +[2024-05-20 07:54:09,510] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 07:54:09,511] - INFO: Eval PSNR (current): 37.832 (3655) SSIM (current): 0.9604 (3655) +[2024-05-20 07:54:09,511] - INFO: Evaluation over. +[2024-05-20 07:54:28,602] - INFO: Epoch 3656/9999, Iter 182760: Loss = 0.0074768103659152985, lr = [0.0001] +[2024-05-20 07:54:55,445] - INFO: Epoch 3656/9999, Iter 182780: Loss = 0.008337699808180332, lr = [0.0001] +[2024-05-20 07:55:23,303] - INFO: Epoch 3657/9999, Iter 182800: Loss = 0.01624760590493679, lr = [0.0001] +[2024-05-20 07:55:50,577] - INFO: Epoch 3657/9999, Iter 182820: Loss = 0.012093793600797653, lr = [0.0001] +[2024-05-20 07:56:19,483] - INFO: Epoch 3657/9999, Iter 182840: Loss = 0.013403232209384441, lr = [0.0001] +[2024-05-20 07:56:48,882] - INFO: Epoch 3658/9999, Iter 182860: Loss = 0.014760665595531464, lr = [0.0001] +[2024-05-20 07:57:16,407] - INFO: Epoch 3658/9999, Iter 182880: Loss = 0.009056135080754757, lr = [0.0001] +[2024-05-20 07:57:45,318] - INFO: Epoch 3659/9999, Iter 182900: Loss = 0.012485474348068237, lr = [0.0001] +[2024-05-20 07:58:13,042] - INFO: Epoch 3659/9999, Iter 182920: Loss = 0.009911822155117989, lr = [0.0001] +[2024-05-20 07:58:40,095] - INFO: Epoch 3659/9999, Iter 182940: Loss = 0.012359117157757282, lr = [0.0001] +[2024-05-20 07:59:08,790] - INFO: Epoch 3660/9999, Iter 182960: Loss = 0.013269733637571335, lr = [0.0001] +[2024-05-20 07:59:37,113] - INFO: Epoch 3660/9999, Iter 182980: Loss = 0.01569361984729767, lr = [0.0001] +[2024-05-20 08:00:03,404] - INFO: Evaluate at epoch 3660! +[2024-05-20 08:00:07,478] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 08:00:07,478] - INFO: Eval PSNR (current): 37.851 (3660) SSIM (current): 0.9603 (3660) +[2024-05-20 08:00:07,478] - INFO: Evaluation over. +[2024-05-20 08:00:11,980] - INFO: Epoch 3661/9999, Iter 183000: Loss = 0.012773341499269009, lr = [0.0001] +[2024-05-20 08:00:40,193] - INFO: Epoch 3661/9999, Iter 183020: Loss = 0.01088709756731987, lr = [0.0001] +[2024-05-20 08:01:06,955] - INFO: Epoch 3661/9999, Iter 183040: Loss = 0.014440231956541538, lr = [0.0001] +[2024-05-20 08:01:36,212] - INFO: Epoch 3662/9999, Iter 183060: Loss = 0.011852476745843887, lr = [0.0001] +[2024-05-20 08:02:04,661] - INFO: Epoch 3662/9999, Iter 183080: Loss = 0.01136145368218422, lr = [0.0001] +[2024-05-20 08:02:33,630] - INFO: Epoch 3663/9999, Iter 183100: Loss = 0.011302387341856956, lr = [0.0001] +[2024-05-20 08:03:01,812] - INFO: Epoch 3663/9999, Iter 183120: Loss = 0.019016126170754433, lr = [0.0001] +[2024-05-20 08:03:30,071] - INFO: Epoch 3663/9999, Iter 183140: Loss = 0.01637890376150608, lr = [0.0001] +[2024-05-20 08:03:58,427] - INFO: Epoch 3664/9999, Iter 183160: Loss = 0.01296118926256895, lr = [0.0001] +[2024-05-20 08:04:25,933] - INFO: Epoch 3664/9999, Iter 183180: Loss = 0.011369992978870869, lr = [0.0001] +[2024-05-20 08:04:55,251] - INFO: Epoch 3665/9999, Iter 183200: Loss = 0.008679622784256935, lr = [0.0001] +[2024-05-20 08:05:21,789] - INFO: Epoch 3665/9999, Iter 183220: Loss = 0.01105237565934658, lr = [0.0001] +[2024-05-20 08:05:48,723] - INFO: Epoch 3665/9999, Iter 183240: Loss = 0.016477540135383606, lr = [0.0001] +[2024-05-20 08:06:01,696] - INFO: Evaluate at epoch 3665! +[2024-05-20 08:06:05,769] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 08:06:05,769] - INFO: Eval PSNR (current): 37.903 (3665) SSIM (current): 0.9605 (3665) +[2024-05-20 08:06:05,770] - INFO: Evaluation over. +[2024-05-20 08:06:24,971] - INFO: Epoch 3666/9999, Iter 183260: Loss = 0.016023902222514153, lr = [0.0001] +[2024-05-20 08:06:52,853] - INFO: Epoch 3666/9999, Iter 183280: Loss = 0.01204986684024334, lr = [0.0001] +[2024-05-20 08:07:21,251] - INFO: Epoch 3667/9999, Iter 183300: Loss = 0.016178229823708534, lr = [0.0001] +[2024-05-20 08:07:50,202] - INFO: Epoch 3667/9999, Iter 183320: Loss = 0.012270212173461914, lr = [0.0001] +[2024-05-20 08:08:17,274] - INFO: Epoch 3667/9999, Iter 183340: Loss = 0.012968248687684536, lr = [0.0001] +[2024-05-20 08:08:45,873] - INFO: Epoch 3668/9999, Iter 183360: Loss = 0.013976100832223892, lr = [0.0001] +[2024-05-20 08:09:14,750] - INFO: Epoch 3668/9999, Iter 183380: Loss = 0.01185566745698452, lr = [0.0001] +[2024-05-20 08:09:43,411] - INFO: Epoch 3669/9999, Iter 183400: Loss = 0.011036192998290062, lr = [0.0001] +[2024-05-20 08:10:11,608] - INFO: Epoch 3669/9999, Iter 183420: Loss = 0.013538157567381859, lr = [0.0001] +[2024-05-20 08:10:39,424] - INFO: Epoch 3669/9999, Iter 183440: Loss = 0.015351795591413975, lr = [0.0001] +[2024-05-20 08:11:07,987] - INFO: Epoch 3670/9999, Iter 183460: Loss = 0.01950090005993843, lr = [0.0001] +[2024-05-20 08:11:35,399] - INFO: Epoch 3670/9999, Iter 183480: Loss = 0.01853044331073761, lr = [0.0001] +[2024-05-20 08:12:02,260] - INFO: Evaluate at epoch 3670! +[2024-05-20 08:12:06,332] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 08:12:06,332] - INFO: Eval PSNR (current): 37.839 (3670) SSIM (current): 0.9602 (3670) +[2024-05-20 08:12:06,332] - INFO: Evaluation over. +[2024-05-20 08:12:10,717] - INFO: Epoch 3671/9999, Iter 183500: Loss = 0.012295086868107319, lr = [0.0001] +[2024-05-20 08:12:38,517] - INFO: Epoch 3671/9999, Iter 183520: Loss = 0.013987254351377487, lr = [0.0001] +[2024-05-20 08:13:06,618] - INFO: Epoch 3671/9999, Iter 183540: Loss = 0.01435462199151516, lr = [0.0001] +[2024-05-20 08:13:35,507] - INFO: Epoch 3672/9999, Iter 183560: Loss = 0.015010464936494827, lr = [0.0001] +[2024-05-20 08:14:03,623] - INFO: Epoch 3672/9999, Iter 183580: Loss = 0.008922172710299492, lr = [0.0001] +[2024-05-20 08:14:32,768] - INFO: Epoch 3673/9999, Iter 183600: Loss = 0.011201337911188602, lr = [0.0001] +[2024-05-20 08:15:00,551] - INFO: Epoch 3673/9999, Iter 183620: Loss = 0.01326560415327549, lr = [0.0001] +[2024-05-20 08:15:29,145] - INFO: Epoch 3673/9999, Iter 183640: Loss = 0.014219565317034721, lr = [0.0001] +[2024-05-20 08:15:57,015] - INFO: Epoch 3674/9999, Iter 183660: Loss = 0.018661804497241974, lr = [0.0001] +[2024-05-20 08:16:24,431] - INFO: Epoch 3674/9999, Iter 183680: Loss = 0.011947027407586575, lr = [0.0001] +[2024-05-20 08:16:54,893] - INFO: Epoch 3675/9999, Iter 183700: Loss = 0.013381754979491234, lr = [0.0001] +[2024-05-20 08:17:21,771] - INFO: Epoch 3675/9999, Iter 183720: Loss = 0.013485895469784737, lr = [0.0001] +[2024-05-20 08:17:49,404] - INFO: Epoch 3675/9999, Iter 183740: Loss = 0.01602083258330822, lr = [0.0001] +[2024-05-20 08:18:01,700] - INFO: Evaluate at epoch 3675! +[2024-05-20 08:18:05,819] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 08:18:05,820] - INFO: Eval PSNR (current): 37.895 (3675) SSIM (current): 0.9605 (3675) +[2024-05-20 08:18:05,820] - INFO: Evaluation over. +[2024-05-20 08:18:23,979] - INFO: Epoch 3676/9999, Iter 183760: Loss = 0.013871249742805958, lr = [0.0001] +[2024-05-20 08:18:52,135] - INFO: Epoch 3676/9999, Iter 183780: Loss = 0.012732498347759247, lr = [0.0001] +[2024-05-20 08:19:21,247] - INFO: Epoch 3677/9999, Iter 183800: Loss = 0.01837833784520626, lr = [0.0001] +[2024-05-20 08:19:48,888] - INFO: Epoch 3677/9999, Iter 183820: Loss = 0.016024336218833923, lr = [0.0001] +[2024-05-20 08:20:15,812] - INFO: Epoch 3677/9999, Iter 183840: Loss = 0.017350394278764725, lr = [0.0001] +[2024-05-20 08:20:44,808] - INFO: Epoch 3678/9999, Iter 183860: Loss = 0.009597712196409702, lr = [0.0001] +[2024-05-20 08:21:13,099] - INFO: Epoch 3678/9999, Iter 183880: Loss = 0.01705772802233696, lr = [0.0001] +[2024-05-20 08:21:41,962] - INFO: Epoch 3679/9999, Iter 183900: Loss = 0.012560524046421051, lr = [0.0001] +[2024-05-20 08:22:09,331] - INFO: Epoch 3679/9999, Iter 183920: Loss = 0.013953682966530323, lr = [0.0001] +[2024-05-20 08:22:37,122] - INFO: Epoch 3679/9999, Iter 183940: Loss = 0.013899926096200943, lr = [0.0001] +[2024-05-20 08:23:05,843] - INFO: Epoch 3680/9999, Iter 183960: Loss = 0.011742514558136463, lr = [0.0001] +[2024-05-20 08:23:33,027] - INFO: Epoch 3680/9999, Iter 183980: Loss = 0.012220858596265316, lr = [0.0001] +[2024-05-20 08:23:59,401] - INFO: Evaluate at epoch 3680! +[2024-05-20 08:24:03,479] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 08:24:03,479] - INFO: Eval PSNR (current): 37.904 (3680) SSIM (current): 0.9604 (3680) +[2024-05-20 08:24:03,479] - INFO: Evaluation over. +[2024-05-20 08:24:07,908] - INFO: Epoch 3681/9999, Iter 184000: Loss = 0.011857335455715656, lr = [0.0001] +[2024-05-20 08:24:36,119] - INFO: Epoch 3681/9999, Iter 184020: Loss = 0.01369787473231554, lr = [0.0001] +[2024-05-20 08:25:04,074] - INFO: Epoch 3681/9999, Iter 184040: Loss = 0.015760624781250954, lr = [0.0001] +[2024-05-20 08:25:32,667] - INFO: Epoch 3682/9999, Iter 184060: Loss = 0.014777818694710732, lr = [0.0001] +[2024-05-20 08:26:00,579] - INFO: Epoch 3682/9999, Iter 184080: Loss = 0.009283105842769146, lr = [0.0001] +[2024-05-20 08:26:30,011] - INFO: Epoch 3683/9999, Iter 184100: Loss = 0.018566157668828964, lr = [0.0001] +[2024-05-20 08:26:56,919] - INFO: Epoch 3683/9999, Iter 184120: Loss = 0.010811465792357922, lr = [0.0001] +[2024-05-20 08:27:24,447] - INFO: Epoch 3683/9999, Iter 184140: Loss = 0.010644364170730114, lr = [0.0001] +[2024-05-20 08:27:53,275] - INFO: Epoch 3684/9999, Iter 184160: Loss = 0.012459722347557545, lr = [0.0001] +[2024-05-20 08:28:20,403] - INFO: Epoch 3684/9999, Iter 184180: Loss = 0.00876449141651392, lr = [0.0001] +[2024-05-20 08:28:48,947] - INFO: Epoch 3685/9999, Iter 184200: Loss = 0.010130234062671661, lr = [0.0001] +[2024-05-20 08:29:16,131] - INFO: Epoch 3685/9999, Iter 184220: Loss = 0.009422671049833298, lr = [0.0001] +[2024-05-20 08:29:43,434] - INFO: Epoch 3685/9999, Iter 184240: Loss = 0.01112043671309948, lr = [0.0001] +[2024-05-20 08:29:55,629] - INFO: Evaluate at epoch 3685! +[2024-05-20 08:29:59,703] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 08:29:59,703] - INFO: Eval PSNR (current): 37.820 (3685) SSIM (current): 0.9603 (3685) +[2024-05-20 08:29:59,704] - INFO: Evaluation over. +[2024-05-20 08:30:18,090] - INFO: Epoch 3686/9999, Iter 184260: Loss = 0.01376296952366829, lr = [0.0001] +[2024-05-20 08:30:45,959] - INFO: Epoch 3686/9999, Iter 184280: Loss = 0.01624685898423195, lr = [0.0001] +[2024-05-20 08:31:14,891] - INFO: Epoch 3687/9999, Iter 184300: Loss = 0.011588233523070812, lr = [0.0001] +[2024-05-20 08:31:41,476] - INFO: Epoch 3687/9999, Iter 184320: Loss = 0.011192488484084606, lr = [0.0001] +[2024-05-20 08:32:09,140] - INFO: Epoch 3687/9999, Iter 184340: Loss = 0.010731463320553303, lr = [0.0001] +[2024-05-20 08:32:37,535] - INFO: Epoch 3688/9999, Iter 184360: Loss = 0.021232178434729576, lr = [0.0001] +[2024-05-20 08:33:05,889] - INFO: Epoch 3688/9999, Iter 184380: Loss = 0.008401480503380299, lr = [0.0001] +[2024-05-20 08:33:34,607] - INFO: Epoch 3689/9999, Iter 184400: Loss = 0.015386642888188362, lr = [0.0001] +[2024-05-20 08:34:01,843] - INFO: Epoch 3689/9999, Iter 184420: Loss = 0.01194903813302517, lr = [0.0001] +[2024-05-20 08:34:30,065] - INFO: Epoch 3689/9999, Iter 184440: Loss = 0.01086562778800726, lr = [0.0001] +[2024-05-20 08:34:59,247] - INFO: Epoch 3690/9999, Iter 184460: Loss = 0.012827829457819462, lr = [0.0001] +[2024-05-20 08:35:27,490] - INFO: Epoch 3690/9999, Iter 184480: Loss = 0.01089255977421999, lr = [0.0001] +[2024-05-20 08:35:53,717] - INFO: Evaluate at epoch 3690! +[2024-05-20 08:35:57,799] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 08:35:57,799] - INFO: Eval PSNR (current): 37.888 (3690) SSIM (current): 0.9605 (3690) +[2024-05-20 08:35:57,799] - INFO: Evaluation over. +[2024-05-20 08:36:02,480] - INFO: Epoch 3691/9999, Iter 184500: Loss = 0.014225529506802559, lr = [0.0001] +[2024-05-20 08:36:30,559] - INFO: Epoch 3691/9999, Iter 184520: Loss = 0.01144065149128437, lr = [0.0001] +[2024-05-20 08:36:58,192] - INFO: Epoch 3691/9999, Iter 184540: Loss = 0.011866371147334576, lr = [0.0001] +[2024-05-20 08:37:26,258] - INFO: Epoch 3692/9999, Iter 184560: Loss = 0.009958568960428238, lr = [0.0001] +[2024-05-20 08:37:53,215] - INFO: Epoch 3692/9999, Iter 184580: Loss = 0.015507830306887627, lr = [0.0001] +[2024-05-20 08:38:22,357] - INFO: Epoch 3693/9999, Iter 184600: Loss = 0.009190619923174381, lr = [0.0001] +[2024-05-20 08:38:49,685] - INFO: Epoch 3693/9999, Iter 184620: Loss = 0.011423680931329727, lr = [0.0001] +[2024-05-20 08:39:17,252] - INFO: Epoch 3693/9999, Iter 184640: Loss = 0.010261179879307747, lr = [0.0001] +[2024-05-20 08:39:47,303] - INFO: Epoch 3694/9999, Iter 184660: Loss = 0.019404998049139977, lr = [0.0001] +[2024-05-20 08:40:15,110] - INFO: Epoch 3694/9999, Iter 184680: Loss = 0.010147896595299244, lr = [0.0001] +[2024-05-20 08:40:43,211] - INFO: Epoch 3695/9999, Iter 184700: Loss = 0.014265141449868679, lr = [0.0001] +[2024-05-20 08:41:11,087] - INFO: Epoch 3695/9999, Iter 184720: Loss = 0.0105363130569458, lr = [0.0001] +[2024-05-20 08:41:39,155] - INFO: Epoch 3695/9999, Iter 184740: Loss = 0.01649845391511917, lr = [0.0001] +[2024-05-20 08:41:51,456] - INFO: Evaluate at epoch 3695! +[2024-05-20 08:41:55,526] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 08:41:55,526] - INFO: Eval PSNR (current): 37.900 (3695) SSIM (current): 0.9605 (3695) +[2024-05-20 08:41:55,526] - INFO: Evaluation over. +[2024-05-20 08:42:14,247] - INFO: Epoch 3696/9999, Iter 184760: Loss = 0.010471039451658726, lr = [0.0001] +[2024-05-20 08:42:42,694] - INFO: Epoch 3696/9999, Iter 184780: Loss = 0.010908796451985836, lr = [0.0001] +[2024-05-20 08:43:09,987] - INFO: Epoch 3697/9999, Iter 184800: Loss = 0.011721915565431118, lr = [0.0001] +[2024-05-20 08:43:38,611] - INFO: Epoch 3697/9999, Iter 184820: Loss = 0.014189164154231548, lr = [0.0001] +[2024-05-20 08:44:06,216] - INFO: Epoch 3697/9999, Iter 184840: Loss = 0.010210815817117691, lr = [0.0001] +[2024-05-20 08:44:34,707] - INFO: Epoch 3698/9999, Iter 184860: Loss = 0.018393907696008682, lr = [0.0001] +[2024-05-20 08:45:03,180] - INFO: Epoch 3698/9999, Iter 184880: Loss = 0.01229123491793871, lr = [0.0001] +[2024-05-20 08:45:32,679] - INFO: Epoch 3699/9999, Iter 184900: Loss = 0.011876420117914677, lr = [0.0001] +[2024-05-20 08:46:00,255] - INFO: Epoch 3699/9999, Iter 184920: Loss = 0.011003582738339901, lr = [0.0001] +[2024-05-20 08:46:28,259] - INFO: Epoch 3699/9999, Iter 184940: Loss = 0.01120880339294672, lr = [0.0001] +[2024-05-20 08:46:57,722] - INFO: Epoch 3700/9999, Iter 184960: Loss = 0.01369414757937193, lr = [0.0001] +[2024-05-20 08:47:25,279] - INFO: Epoch 3700/9999, Iter 184980: Loss = 0.02124422788619995, lr = [0.0001] +[2024-05-20 08:47:51,844] - INFO: Evaluate at epoch 3700! +[2024-05-20 08:47:55,926] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 08:47:55,926] - INFO: Eval PSNR (current): 37.873 (3700) SSIM (current): 0.9602 (3700) +[2024-05-20 08:47:55,926] - INFO: Evaluation over. +[2024-05-20 08:48:00,442] - INFO: Epoch 3701/9999, Iter 185000: Loss = 0.01183629035949707, lr = [0.0001] +[2024-05-20 08:48:27,835] - INFO: Epoch 3701/9999, Iter 185020: Loss = 0.013024568557739258, lr = [0.0001] +[2024-05-20 08:48:56,460] - INFO: Epoch 3701/9999, Iter 185040: Loss = 0.007095472887158394, lr = [0.0001] +[2024-05-20 08:49:26,125] - INFO: Epoch 3702/9999, Iter 185060: Loss = 0.015810800716280937, lr = [0.0001] +[2024-05-20 08:49:54,127] - INFO: Epoch 3702/9999, Iter 185080: Loss = 0.018481308594346046, lr = [0.0001] +[2024-05-20 08:50:22,987] - INFO: Epoch 3703/9999, Iter 185100: Loss = 0.017452239990234375, lr = [0.0001] +[2024-05-20 08:50:51,259] - INFO: Epoch 3703/9999, Iter 185120: Loss = 0.012131196446716785, lr = [0.0001] +[2024-05-20 08:51:19,198] - INFO: Epoch 3703/9999, Iter 185140: Loss = 0.014379246160387993, lr = [0.0001] +[2024-05-20 08:51:48,816] - INFO: Epoch 3704/9999, Iter 185160: Loss = 0.010093973018229008, lr = [0.0001] +[2024-05-20 08:52:16,178] - INFO: Epoch 3704/9999, Iter 185180: Loss = 0.017888611182570457, lr = [0.0001] +[2024-05-20 08:52:44,319] - INFO: Epoch 3705/9999, Iter 185200: Loss = 0.017549462616443634, lr = [0.0001] +[2024-05-20 08:53:12,419] - INFO: Epoch 3705/9999, Iter 185220: Loss = 0.011729253455996513, lr = [0.0001] +[2024-05-20 08:53:39,766] - INFO: Epoch 3705/9999, Iter 185240: Loss = 0.009061450138688087, lr = [0.0001] +[2024-05-20 08:53:52,304] - INFO: Evaluate at epoch 3705! +[2024-05-20 08:53:56,383] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 08:53:56,383] - INFO: Eval PSNR (current): 37.871 (3705) SSIM (current): 0.9605 (3705) +[2024-05-20 08:53:56,383] - INFO: Evaluation over. +[2024-05-20 08:54:14,866] - INFO: Epoch 3706/9999, Iter 185260: Loss = 0.013562668114900589, lr = [0.0001] +[2024-05-20 08:54:42,675] - INFO: Epoch 3706/9999, Iter 185280: Loss = 0.011276775039732456, lr = [0.0001] +[2024-05-20 08:55:11,762] - INFO: Epoch 3707/9999, Iter 185300: Loss = 0.012023835442960262, lr = [0.0001] +[2024-05-20 08:55:39,738] - INFO: Epoch 3707/9999, Iter 185320: Loss = 0.010080884210765362, lr = [0.0001] +[2024-05-20 08:56:06,511] - INFO: Epoch 3707/9999, Iter 185340: Loss = 0.016118396073579788, lr = [0.0001] +[2024-05-20 08:56:36,007] - INFO: Epoch 3708/9999, Iter 185360: Loss = 0.012869439087808132, lr = [0.0001] +[2024-05-20 08:57:03,931] - INFO: Epoch 3708/9999, Iter 185380: Loss = 0.015601670369505882, lr = [0.0001] +[2024-05-20 08:57:32,788] - INFO: Epoch 3709/9999, Iter 185400: Loss = 0.013386954553425312, lr = [0.0001] +[2024-05-20 08:58:00,587] - INFO: Epoch 3709/9999, Iter 185420: Loss = 0.01216808520257473, lr = [0.0001] +[2024-05-20 08:58:29,068] - INFO: Epoch 3709/9999, Iter 185440: Loss = 0.013946674764156342, lr = [0.0001] +[2024-05-20 08:58:57,730] - INFO: Epoch 3710/9999, Iter 185460: Loss = 0.0133847426623106, lr = [0.0001] +[2024-05-20 08:59:24,659] - INFO: Epoch 3710/9999, Iter 185480: Loss = 0.0114512387663126, lr = [0.0001] +[2024-05-20 08:59:50,804] - INFO: Evaluate at epoch 3710! +[2024-05-20 08:59:54,882] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 08:59:54,882] - INFO: Eval PSNR (current): 37.741 (3710) SSIM (current): 0.9603 (3710) +[2024-05-20 08:59:54,882] - INFO: Evaluation over. +[2024-05-20 09:00:00,121] - INFO: Epoch 3711/9999, Iter 185500: Loss = 0.013721920549869537, lr = [0.0001] +[2024-05-20 09:00:27,211] - INFO: Epoch 3711/9999, Iter 185520: Loss = 0.011887184344232082, lr = [0.0001] +[2024-05-20 09:00:56,344] - INFO: Epoch 3711/9999, Iter 185540: Loss = 0.00953968707472086, lr = [0.0001] +[2024-05-20 09:01:25,455] - INFO: Epoch 3712/9999, Iter 185560: Loss = 0.013723025098443031, lr = [0.0001] +[2024-05-20 09:01:53,066] - INFO: Epoch 3712/9999, Iter 185580: Loss = 0.016843916848301888, lr = [0.0001] +[2024-05-20 09:02:21,740] - INFO: Epoch 3713/9999, Iter 185600: Loss = 0.017862187698483467, lr = [0.0001] +[2024-05-20 09:02:49,000] - INFO: Epoch 3713/9999, Iter 185620: Loss = 0.011493698693811893, lr = [0.0001] +[2024-05-20 09:03:16,852] - INFO: Epoch 3713/9999, Iter 185640: Loss = 0.015947530046105385, lr = [0.0001] +[2024-05-20 09:03:46,727] - INFO: Epoch 3714/9999, Iter 185660: Loss = 0.010542863048613071, lr = [0.0001] +[2024-05-20 09:04:14,381] - INFO: Epoch 3714/9999, Iter 185680: Loss = 0.013838655315339565, lr = [0.0001] +[2024-05-20 09:04:42,942] - INFO: Epoch 3715/9999, Iter 185700: Loss = 0.011412614956498146, lr = [0.0001] +[2024-05-20 09:05:10,692] - INFO: Epoch 3715/9999, Iter 185720: Loss = 0.008138955570757389, lr = [0.0001] +[2024-05-20 09:05:37,443] - INFO: Epoch 3715/9999, Iter 185740: Loss = 0.013486325740814209, lr = [0.0001] +[2024-05-20 09:05:49,507] - INFO: Evaluate at epoch 3715! +[2024-05-20 09:05:53,572] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 09:05:53,572] - INFO: Eval PSNR (current): 37.892 (3715) SSIM (current): 0.9603 (3715) +[2024-05-20 09:05:53,572] - INFO: Evaluation over. +[2024-05-20 09:06:12,199] - INFO: Epoch 3716/9999, Iter 185760: Loss = 0.01525119412690401, lr = [0.0001] +[2024-05-20 09:06:40,877] - INFO: Epoch 3716/9999, Iter 185780: Loss = 0.010038369335234165, lr = [0.0001] +[2024-05-20 09:07:09,767] - INFO: Epoch 3717/9999, Iter 185800: Loss = 0.018181538209319115, lr = [0.0001] +[2024-05-20 09:07:36,479] - INFO: Epoch 3717/9999, Iter 185820: Loss = 0.017366787418723106, lr = [0.0001] +[2024-05-20 09:08:04,232] - INFO: Epoch 3717/9999, Iter 185840: Loss = 0.013812561519443989, lr = [0.0001] +[2024-05-20 09:08:33,001] - INFO: Epoch 3718/9999, Iter 185860: Loss = 0.01565028727054596, lr = [0.0001] +[2024-05-20 09:09:00,166] - INFO: Epoch 3718/9999, Iter 185880: Loss = 0.013117343187332153, lr = [0.0001] +[2024-05-20 09:09:28,815] - INFO: Epoch 3719/9999, Iter 185900: Loss = 0.011905638501048088, lr = [0.0001] +[2024-05-20 09:09:56,350] - INFO: Epoch 3719/9999, Iter 185920: Loss = 0.012796318158507347, lr = [0.0001] +[2024-05-20 09:10:24,667] - INFO: Epoch 3719/9999, Iter 185940: Loss = 0.011809916235506535, lr = [0.0001] +[2024-05-20 09:10:53,295] - INFO: Epoch 3720/9999, Iter 185960: Loss = 0.012144137173891068, lr = [0.0001] +[2024-05-20 09:11:20,079] - INFO: Epoch 3720/9999, Iter 185980: Loss = 0.018583213910460472, lr = [0.0001] +[2024-05-20 09:11:46,484] - INFO: Evaluate at epoch 3720! +[2024-05-20 09:11:50,564] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 09:11:50,564] - INFO: Eval PSNR (current): 37.848 (3720) SSIM (current): 0.9602 (3720) +[2024-05-20 09:11:50,564] - INFO: Evaluation over. +[2024-05-20 09:11:55,079] - INFO: Epoch 3721/9999, Iter 186000: Loss = 0.010541600175201893, lr = [0.0001] +[2024-05-20 09:12:23,107] - INFO: Epoch 3721/9999, Iter 186020: Loss = 0.011496596969664097, lr = [0.0001] +[2024-05-20 09:12:51,420] - INFO: Epoch 3721/9999, Iter 186040: Loss = 0.014619243331253529, lr = [0.0001] +[2024-05-20 09:13:20,081] - INFO: Epoch 3722/9999, Iter 186060: Loss = 0.015107868239283562, lr = [0.0001] +[2024-05-20 09:13:47,195] - INFO: Epoch 3722/9999, Iter 186080: Loss = 0.01827533356845379, lr = [0.0001] +[2024-05-20 09:14:15,626] - INFO: Epoch 3723/9999, Iter 186100: Loss = 0.015107746236026287, lr = [0.0001] +[2024-05-20 09:14:44,101] - INFO: Epoch 3723/9999, Iter 186120: Loss = 0.01896529085934162, lr = [0.0001] +[2024-05-20 09:15:11,568] - INFO: Epoch 3723/9999, Iter 186140: Loss = 0.008982015773653984, lr = [0.0001] +[2024-05-20 09:15:40,310] - INFO: Epoch 3724/9999, Iter 186160: Loss = 0.014833246357738972, lr = [0.0001] +[2024-05-20 09:16:07,612] - INFO: Epoch 3724/9999, Iter 186180: Loss = 0.011105511337518692, lr = [0.0001] +[2024-05-20 09:16:37,299] - INFO: Epoch 3725/9999, Iter 186200: Loss = 0.012908341363072395, lr = [0.0001] +[2024-05-20 09:17:05,395] - INFO: Epoch 3725/9999, Iter 186220: Loss = 0.010418192483484745, lr = [0.0001] +[2024-05-20 09:17:32,915] - INFO: Epoch 3725/9999, Iter 186240: Loss = 0.012573952786624432, lr = [0.0001] +[2024-05-20 09:17:44,819] - INFO: Evaluate at epoch 3725! +[2024-05-20 09:17:48,884] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 09:17:48,884] - INFO: Eval PSNR (current): 37.836 (3725) SSIM (current): 0.9603 (3725) +[2024-05-20 09:17:48,884] - INFO: Evaluation over. +[2024-05-20 09:18:08,313] - INFO: Epoch 3726/9999, Iter 186260: Loss = 0.011211316101253033, lr = [0.0001] +[2024-05-20 09:18:35,915] - INFO: Epoch 3726/9999, Iter 186280: Loss = 0.014053897932171822, lr = [0.0001] +[2024-05-20 09:19:04,804] - INFO: Epoch 3727/9999, Iter 186300: Loss = 0.013246690854430199, lr = [0.0001] +[2024-05-20 09:19:32,443] - INFO: Epoch 3727/9999, Iter 186320: Loss = 0.010684669017791748, lr = [0.0001] +[2024-05-20 09:19:59,571] - INFO: Epoch 3727/9999, Iter 186340: Loss = 0.013842205516994, lr = [0.0001] +[2024-05-20 09:20:29,635] - INFO: Epoch 3728/9999, Iter 186360: Loss = 0.015942825004458427, lr = [0.0001] +[2024-05-20 09:20:57,325] - INFO: Epoch 3728/9999, Iter 186380: Loss = 0.011953510344028473, lr = [0.0001] +[2024-05-20 09:21:25,771] - INFO: Epoch 3729/9999, Iter 186400: Loss = 0.01595950499176979, lr = [0.0001] +[2024-05-20 09:21:53,199] - INFO: Epoch 3729/9999, Iter 186420: Loss = 0.0157415010035038, lr = [0.0001] +[2024-05-20 09:22:19,761] - INFO: Epoch 3729/9999, Iter 186440: Loss = 0.012189501896500587, lr = [0.0001] +[2024-05-20 09:22:48,599] - INFO: Epoch 3730/9999, Iter 186460: Loss = 0.00988128874450922, lr = [0.0001] +[2024-05-20 09:23:16,886] - INFO: Epoch 3730/9999, Iter 186480: Loss = 0.01333035621792078, lr = [0.0001] +[2024-05-20 09:23:42,489] - INFO: Evaluate at epoch 3730! +[2024-05-20 09:23:46,569] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 09:23:46,569] - INFO: Eval PSNR (current): 37.896 (3730) SSIM (current): 0.9605 (3730) +[2024-05-20 09:23:46,569] - INFO: Evaluation over. +[2024-05-20 09:23:51,315] - INFO: Epoch 3731/9999, Iter 186500: Loss = 0.01476682722568512, lr = [0.0001] +[2024-05-20 09:24:19,767] - INFO: Epoch 3731/9999, Iter 186520: Loss = 0.015168153680860996, lr = [0.0001] +[2024-05-20 09:24:47,681] - INFO: Epoch 3731/9999, Iter 186540: Loss = 0.01573910564184189, lr = [0.0001] +[2024-05-20 09:25:16,715] - INFO: Epoch 3732/9999, Iter 186560: Loss = 0.011989262886345387, lr = [0.0001] +[2024-05-20 09:25:45,275] - INFO: Epoch 3732/9999, Iter 186580: Loss = 0.009414589032530785, lr = [0.0001] +[2024-05-20 09:26:13,634] - INFO: Epoch 3733/9999, Iter 186600: Loss = 0.01859975792467594, lr = [0.0001] +[2024-05-20 09:26:40,952] - INFO: Epoch 3733/9999, Iter 186620: Loss = 0.014775958843529224, lr = [0.0001] +[2024-05-20 09:27:07,683] - INFO: Epoch 3733/9999, Iter 186640: Loss = 0.015730995684862137, lr = [0.0001] +[2024-05-20 09:27:37,480] - INFO: Epoch 3734/9999, Iter 186660: Loss = 0.010628515854477882, lr = [0.0001] +[2024-05-20 09:28:06,223] - INFO: Epoch 3734/9999, Iter 186680: Loss = 0.021299049258232117, lr = [0.0001] +[2024-05-20 09:28:34,603] - INFO: Epoch 3735/9999, Iter 186700: Loss = 0.012927298434078693, lr = [0.0001] +[2024-05-20 09:29:02,634] - INFO: Epoch 3735/9999, Iter 186720: Loss = 0.015178406611084938, lr = [0.0001] +[2024-05-20 09:29:30,692] - INFO: Epoch 3735/9999, Iter 186740: Loss = 0.013287740759551525, lr = [0.0001] +[2024-05-20 09:29:43,142] - INFO: Evaluate at epoch 3735! +[2024-05-20 09:29:47,214] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 09:29:47,214] - INFO: Eval PSNR (current): 37.824 (3735) SSIM (current): 0.9602 (3735) +[2024-05-20 09:29:47,215] - INFO: Evaluation over. +[2024-05-20 09:30:05,243] - INFO: Epoch 3736/9999, Iter 186760: Loss = 0.01199664268642664, lr = [0.0001] +[2024-05-20 09:30:32,335] - INFO: Epoch 3736/9999, Iter 186780: Loss = 0.014329005032777786, lr = [0.0001] +[2024-05-20 09:31:01,939] - INFO: Epoch 3737/9999, Iter 186800: Loss = 0.012497401796281338, lr = [0.0001] +[2024-05-20 09:31:29,439] - INFO: Epoch 3737/9999, Iter 186820: Loss = 0.015865225344896317, lr = [0.0001] +[2024-05-20 09:31:56,607] - INFO: Epoch 3737/9999, Iter 186840: Loss = 0.010110128670930862, lr = [0.0001] +[2024-05-20 09:32:25,583] - INFO: Epoch 3738/9999, Iter 186860: Loss = 0.012256229296326637, lr = [0.0001] +[2024-05-20 09:32:51,990] - INFO: Epoch 3738/9999, Iter 186880: Loss = 0.019937239587306976, lr = [0.0001] +[2024-05-20 09:33:21,251] - INFO: Epoch 3739/9999, Iter 186900: Loss = 0.014913585968315601, lr = [0.0001] +[2024-05-20 09:33:49,521] - INFO: Epoch 3739/9999, Iter 186920: Loss = 0.016241582110524178, lr = [0.0001] +[2024-05-20 09:34:15,703] - INFO: Epoch 3739/9999, Iter 186940: Loss = 0.016696026548743248, lr = [0.0001] +[2024-05-20 09:34:44,916] - INFO: Epoch 3740/9999, Iter 186960: Loss = 0.008341780863702297, lr = [0.0001] +[2024-05-20 09:35:11,899] - INFO: Epoch 3740/9999, Iter 186980: Loss = 0.010353971272706985, lr = [0.0001] +[2024-05-20 09:35:37,761] - INFO: Evaluate at epoch 3740! +[2024-05-20 09:35:41,839] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 09:35:41,839] - INFO: Eval PSNR (current): 37.901 (3740) SSIM (current): 0.9605 (3740) +[2024-05-20 09:35:41,840] - INFO: Evaluation over. +[2024-05-20 09:35:46,325] - INFO: Epoch 3741/9999, Iter 187000: Loss = 0.009233921766281128, lr = [0.0001] +[2024-05-20 09:36:13,729] - INFO: Epoch 3741/9999, Iter 187020: Loss = 0.01751520112156868, lr = [0.0001] +[2024-05-20 09:36:40,900] - INFO: Epoch 3741/9999, Iter 187040: Loss = 0.018837664276361465, lr = [0.0001] +[2024-05-20 09:37:10,179] - INFO: Epoch 3742/9999, Iter 187060: Loss = 0.011012938804924488, lr = [0.0001] +[2024-05-20 09:37:37,290] - INFO: Epoch 3742/9999, Iter 187080: Loss = 0.012813763692975044, lr = [0.0001] +[2024-05-20 09:38:06,643] - INFO: Epoch 3743/9999, Iter 187100: Loss = 0.012307164259254932, lr = [0.0001] +[2024-05-20 09:38:33,657] - INFO: Epoch 3743/9999, Iter 187120: Loss = 0.0137710552662611, lr = [0.0001] +[2024-05-20 09:39:00,567] - INFO: Epoch 3743/9999, Iter 187140: Loss = 0.011807702481746674, lr = [0.0001] +[2024-05-20 09:39:30,091] - INFO: Epoch 3744/9999, Iter 187160: Loss = 0.011403941549360752, lr = [0.0001] +[2024-05-20 09:39:57,519] - INFO: Epoch 3744/9999, Iter 187180: Loss = 0.013395159505307674, lr = [0.0001] +[2024-05-20 09:40:27,366] - INFO: Epoch 3745/9999, Iter 187200: Loss = 0.01672983169555664, lr = [0.0001] +[2024-05-20 09:40:54,843] - INFO: Epoch 3745/9999, Iter 187220: Loss = 0.014306406490504742, lr = [0.0001] +[2024-05-20 09:41:22,847] - INFO: Epoch 3745/9999, Iter 187240: Loss = 0.017525946721434593, lr = [0.0001] +[2024-05-20 09:41:34,577] - INFO: Evaluate at epoch 3745! +[2024-05-20 09:41:38,644] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 09:41:38,644] - INFO: Eval PSNR (current): 37.898 (3745) SSIM (current): 0.9604 (3745) +[2024-05-20 09:41:38,644] - INFO: Evaluation over. +[2024-05-20 09:41:56,819] - INFO: Epoch 3746/9999, Iter 187260: Loss = 0.00995203573256731, lr = [0.0001] +[2024-05-20 09:42:25,763] - INFO: Epoch 3746/9999, Iter 187280: Loss = 0.014909648336470127, lr = [0.0001] +[2024-05-20 09:42:54,623] - INFO: Epoch 3747/9999, Iter 187300: Loss = 0.016155751422047615, lr = [0.0001] +[2024-05-20 09:43:22,995] - INFO: Epoch 3747/9999, Iter 187320: Loss = 0.016148241236805916, lr = [0.0001] +[2024-05-20 09:43:51,439] - INFO: Epoch 3747/9999, Iter 187340: Loss = 0.014891481958329678, lr = [0.0001] +[2024-05-20 09:44:20,134] - INFO: Epoch 3748/9999, Iter 187360: Loss = 0.008606920018792152, lr = [0.0001] +[2024-05-20 09:44:46,877] - INFO: Epoch 3748/9999, Iter 187380: Loss = 0.012690989300608635, lr = [0.0001] +[2024-05-20 09:45:15,226] - INFO: Epoch 3749/9999, Iter 187400: Loss = 0.010968786664307117, lr = [0.0001] +[2024-05-20 09:45:43,389] - INFO: Epoch 3749/9999, Iter 187420: Loss = 0.012883489951491356, lr = [0.0001] +[2024-05-20 09:46:10,543] - INFO: Epoch 3749/9999, Iter 187440: Loss = 0.010421260260045528, lr = [0.0001] +[2024-05-20 09:46:39,267] - INFO: Epoch 3750/9999, Iter 187460: Loss = 0.009109248407185078, lr = [0.0001] +[2024-05-20 09:47:07,728] - INFO: Epoch 3750/9999, Iter 187480: Loss = 0.01846226677298546, lr = [0.0001] +[2024-05-20 09:47:33,787] - INFO: Evaluate at epoch 3750! +[2024-05-20 09:47:38,019] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 09:47:38,019] - INFO: Eval PSNR (current): 37.852 (3750) SSIM (current): 0.9600 (3750) +[2024-05-20 09:47:38,019] - INFO: Evaluation over. +[2024-05-20 09:47:42,547] - INFO: Epoch 3751/9999, Iter 187500: Loss = 0.022683793678879738, lr = [0.0001] +[2024-05-20 09:48:10,729] - INFO: Epoch 3751/9999, Iter 187520: Loss = 0.015256969258189201, lr = [0.0001] +[2024-05-20 09:48:37,398] - INFO: Epoch 3751/9999, Iter 187540: Loss = 0.011790048331022263, lr = [0.0001] +[2024-05-20 09:49:07,276] - INFO: Epoch 3752/9999, Iter 187560: Loss = 0.014887606725096703, lr = [0.0001] +[2024-05-20 09:49:34,791] - INFO: Epoch 3752/9999, Iter 187580: Loss = 0.011042868718504906, lr = [0.0001] +[2024-05-20 09:50:03,661] - INFO: Epoch 3753/9999, Iter 187600: Loss = 0.014850522391498089, lr = [0.0001] +[2024-05-20 09:50:31,355] - INFO: Epoch 3753/9999, Iter 187620: Loss = 0.012691265903413296, lr = [0.0001] +[2024-05-20 09:50:59,316] - INFO: Epoch 3753/9999, Iter 187640: Loss = 0.018099401146173477, lr = [0.0001] +[2024-05-20 09:51:28,635] - INFO: Epoch 3754/9999, Iter 187660: Loss = 0.011055288836359978, lr = [0.0001] +[2024-05-20 09:51:55,783] - INFO: Epoch 3754/9999, Iter 187680: Loss = 0.019226783886551857, lr = [0.0001] +[2024-05-20 09:52:24,915] - INFO: Epoch 3755/9999, Iter 187700: Loss = 0.011723295785486698, lr = [0.0001] +[2024-05-20 09:52:51,580] - INFO: Epoch 3755/9999, Iter 187720: Loss = 0.011603058315813541, lr = [0.0001] +[2024-05-20 09:53:19,190] - INFO: Epoch 3755/9999, Iter 187740: Loss = 0.014648009091615677, lr = [0.0001] +[2024-05-20 09:53:32,256] - INFO: Evaluate at epoch 3755! +[2024-05-20 09:53:36,336] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 09:53:36,337] - INFO: Eval PSNR (current): 37.870 (3755) SSIM (current): 0.9604 (3755) +[2024-05-20 09:53:36,337] - INFO: Evaluation over. +[2024-05-20 09:53:54,555] - INFO: Epoch 3756/9999, Iter 187760: Loss = 0.012245622463524342, lr = [0.0001] +[2024-05-20 09:54:21,263] - INFO: Epoch 3756/9999, Iter 187780: Loss = 0.014284179545938969, lr = [0.0001] +[2024-05-20 09:54:51,209] - INFO: Epoch 3757/9999, Iter 187800: Loss = 0.012213326059281826, lr = [0.0001] +[2024-05-20 09:55:18,338] - INFO: Epoch 3757/9999, Iter 187820: Loss = 0.011603384278714657, lr = [0.0001] +[2024-05-20 09:55:46,227] - INFO: Epoch 3757/9999, Iter 187840: Loss = 0.013995392248034477, lr = [0.0001] +[2024-05-20 09:56:14,801] - INFO: Epoch 3758/9999, Iter 187860: Loss = 0.0127162029966712, lr = [0.0001] +[2024-05-20 09:56:42,392] - INFO: Epoch 3758/9999, Iter 187880: Loss = 0.011328404769301414, lr = [0.0001] +[2024-05-20 09:57:11,223] - INFO: Epoch 3759/9999, Iter 187900: Loss = 0.011120019480586052, lr = [0.0001] +[2024-05-20 09:57:38,632] - INFO: Epoch 3759/9999, Iter 187920: Loss = 0.00859019160270691, lr = [0.0001] +[2024-05-20 09:58:05,238] - INFO: Epoch 3759/9999, Iter 187940: Loss = 0.014801238663494587, lr = [0.0001] +[2024-05-20 09:58:34,163] - INFO: Epoch 3760/9999, Iter 187960: Loss = 0.018731409683823586, lr = [0.0001] +[2024-05-20 09:59:00,979] - INFO: Epoch 3760/9999, Iter 187980: Loss = 0.009162110276520252, lr = [0.0001] +[2024-05-20 09:59:27,758] - INFO: Evaluate at epoch 3760! +[2024-05-20 09:59:31,836] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 09:59:31,836] - INFO: Eval PSNR (current): 37.701 (3760) SSIM (current): 0.9604 (3760) +[2024-05-20 09:59:31,836] - INFO: Evaluation over. +[2024-05-20 09:59:36,660] - INFO: Epoch 3761/9999, Iter 188000: Loss = 0.014142055995762348, lr = [0.0001] +[2024-05-20 10:00:03,680] - INFO: Epoch 3761/9999, Iter 188020: Loss = 0.011902212165296078, lr = [0.0001] +[2024-05-20 10:00:31,042] - INFO: Epoch 3761/9999, Iter 188040: Loss = 0.007873107679188251, lr = [0.0001] +[2024-05-20 10:01:00,150] - INFO: Epoch 3762/9999, Iter 188060: Loss = 0.01064305379986763, lr = [0.0001] +[2024-05-20 10:01:28,339] - INFO: Epoch 3762/9999, Iter 188080: Loss = 0.009893103502690792, lr = [0.0001] +[2024-05-20 10:01:57,534] - INFO: Epoch 3763/9999, Iter 188100: Loss = 0.014865599572658539, lr = [0.0001] +[2024-05-20 10:02:25,115] - INFO: Epoch 3763/9999, Iter 188120: Loss = 0.014937281608581543, lr = [0.0001] +[2024-05-20 10:02:52,615] - INFO: Epoch 3763/9999, Iter 188140: Loss = 0.012008212506771088, lr = [0.0001] +[2024-05-20 10:03:21,821] - INFO: Epoch 3764/9999, Iter 188160: Loss = 0.020974185317754745, lr = [0.0001] +[2024-05-20 10:03:48,757] - INFO: Epoch 3764/9999, Iter 188180: Loss = 0.013399491086602211, lr = [0.0001] +[2024-05-20 10:04:17,567] - INFO: Epoch 3765/9999, Iter 188200: Loss = 0.009728103876113892, lr = [0.0001] +[2024-05-20 10:04:44,463] - INFO: Epoch 3765/9999, Iter 188220: Loss = 0.013114092871546745, lr = [0.0001] +[2024-05-20 10:05:12,158] - INFO: Epoch 3765/9999, Iter 188240: Loss = 0.012072407640516758, lr = [0.0001] +[2024-05-20 10:05:24,754] - INFO: Evaluate at epoch 3765! +[2024-05-20 10:05:28,808] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 10:05:28,808] - INFO: Eval PSNR (current): 37.927 (3765) SSIM (current): 0.9606 (3765) +[2024-05-20 10:05:28,808] - INFO: Evaluation over. +[2024-05-20 10:05:47,042] - INFO: Epoch 3766/9999, Iter 188260: Loss = 0.010296761989593506, lr = [0.0001] +[2024-05-20 10:06:14,767] - INFO: Epoch 3766/9999, Iter 188280: Loss = 0.007100716233253479, lr = [0.0001] +[2024-05-20 10:06:44,286] - INFO: Epoch 3767/9999, Iter 188300: Loss = 0.016420433297753334, lr = [0.0001] +[2024-05-20 10:07:10,943] - INFO: Epoch 3767/9999, Iter 188320: Loss = 0.014755814336240292, lr = [0.0001] +[2024-05-20 10:07:38,385] - INFO: Epoch 3767/9999, Iter 188340: Loss = 0.010051797144114971, lr = [0.0001] +[2024-05-20 10:08:08,171] - INFO: Epoch 3768/9999, Iter 188360: Loss = 0.011918739415705204, lr = [0.0001] +[2024-05-20 10:08:36,843] - INFO: Epoch 3768/9999, Iter 188380: Loss = 0.010678652673959732, lr = [0.0001] +[2024-05-20 10:09:05,187] - INFO: Epoch 3769/9999, Iter 188400: Loss = 0.012475322932004929, lr = [0.0001] +[2024-05-20 10:09:32,311] - INFO: Epoch 3769/9999, Iter 188420: Loss = 0.013216490857303143, lr = [0.0001] +[2024-05-20 10:10:00,643] - INFO: Epoch 3769/9999, Iter 188440: Loss = 0.01000713836401701, lr = [0.0001] +[2024-05-20 10:10:29,766] - INFO: Epoch 3770/9999, Iter 188460: Loss = 0.009887856431305408, lr = [0.0001] +[2024-05-20 10:10:57,640] - INFO: Epoch 3770/9999, Iter 188480: Loss = 0.011755311861634254, lr = [0.0001] +[2024-05-20 10:11:22,924] - INFO: Evaluate at epoch 3770! +[2024-05-20 10:11:27,040] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 10:11:27,040] - INFO: Eval PSNR (current): 37.884 (3770) SSIM (current): 0.9604 (3770) +[2024-05-20 10:11:27,040] - INFO: Evaluation over. +[2024-05-20 10:11:31,678] - INFO: Epoch 3771/9999, Iter 188500: Loss = 0.013016111217439175, lr = [0.0001] +[2024-05-20 10:11:58,651] - INFO: Epoch 3771/9999, Iter 188520: Loss = 0.014730117283761501, lr = [0.0001] +[2024-05-20 10:12:25,411] - INFO: Epoch 3771/9999, Iter 188540: Loss = 0.022364703938364983, lr = [0.0001] +[2024-05-20 10:12:54,783] - INFO: Epoch 3772/9999, Iter 188560: Loss = 0.015803437680006027, lr = [0.0001] +[2024-05-20 10:13:22,295] - INFO: Epoch 3772/9999, Iter 188580: Loss = 0.007982218638062477, lr = [0.0001] +[2024-05-20 10:13:51,643] - INFO: Epoch 3773/9999, Iter 188600: Loss = 0.013049132190644741, lr = [0.0001] +[2024-05-20 10:14:19,863] - INFO: Epoch 3773/9999, Iter 188620: Loss = 0.012983737513422966, lr = [0.0001] +[2024-05-20 10:14:47,375] - INFO: Epoch 3773/9999, Iter 188640: Loss = 0.01583244651556015, lr = [0.0001] +[2024-05-20 10:15:17,075] - INFO: Epoch 3774/9999, Iter 188660: Loss = 0.008392320945858955, lr = [0.0001] +[2024-05-20 10:15:45,411] - INFO: Epoch 3774/9999, Iter 188680: Loss = 0.01670512929558754, lr = [0.0001] +[2024-05-20 10:16:14,429] - INFO: Epoch 3775/9999, Iter 188700: Loss = 0.018848966807127, lr = [0.0001] +[2024-05-20 10:16:42,777] - INFO: Epoch 3775/9999, Iter 188720: Loss = 0.011549257673323154, lr = [0.0001] +[2024-05-20 10:17:10,559] - INFO: Epoch 3775/9999, Iter 188740: Loss = 0.01701071672141552, lr = [0.0001] +[2024-05-20 10:17:22,497] - INFO: Evaluate at epoch 3775! +[2024-05-20 10:17:26,577] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 10:17:26,577] - INFO: Eval PSNR (current): 37.896 (3775) SSIM (current): 0.9606 (3775) +[2024-05-20 10:17:26,577] - INFO: Evaluation over. +[2024-05-20 10:17:45,143] - INFO: Epoch 3776/9999, Iter 188760: Loss = 0.012963716872036457, lr = [0.0001] +[2024-05-20 10:18:12,428] - INFO: Epoch 3776/9999, Iter 188780: Loss = 0.017960865050554276, lr = [0.0001] +[2024-05-20 10:18:41,479] - INFO: Epoch 3777/9999, Iter 188800: Loss = 0.015697592869400978, lr = [0.0001] +[2024-05-20 10:19:09,375] - INFO: Epoch 3777/9999, Iter 188820: Loss = 0.015364892780780792, lr = [0.0001] +[2024-05-20 10:19:38,006] - INFO: Epoch 3777/9999, Iter 188840: Loss = 0.010866057127714157, lr = [0.0001] +[2024-05-20 10:20:06,229] - INFO: Epoch 3778/9999, Iter 188860: Loss = 0.009049136191606522, lr = [0.0001] +[2024-05-20 10:20:33,572] - INFO: Epoch 3778/9999, Iter 188880: Loss = 0.013436070643365383, lr = [0.0001] +[2024-05-20 10:21:03,681] - INFO: Epoch 3779/9999, Iter 188900: Loss = 0.01022404246032238, lr = [0.0001] +[2024-05-20 10:21:31,735] - INFO: Epoch 3779/9999, Iter 188920: Loss = 0.014910793863236904, lr = [0.0001] +[2024-05-20 10:21:59,799] - INFO: Epoch 3779/9999, Iter 188940: Loss = 0.0134222861379385, lr = [0.0001] +[2024-05-20 10:22:29,478] - INFO: Epoch 3780/9999, Iter 188960: Loss = 0.01234977226704359, lr = [0.0001] +[2024-05-20 10:22:56,822] - INFO: Epoch 3780/9999, Iter 188980: Loss = 0.01838117651641369, lr = [0.0001] +[2024-05-20 10:23:23,088] - INFO: Evaluate at epoch 3780! +[2024-05-20 10:23:27,176] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 10:23:27,176] - INFO: Eval PSNR (current): 37.809 (3780) SSIM (current): 0.9601 (3780) +[2024-05-20 10:23:27,176] - INFO: Evaluation over. +[2024-05-20 10:23:31,663] - INFO: Epoch 3781/9999, Iter 189000: Loss = 0.013209113851189613, lr = [0.0001] +[2024-05-20 10:23:59,813] - INFO: Epoch 3781/9999, Iter 189020: Loss = 0.014957591891288757, lr = [0.0001] +[2024-05-20 10:24:27,253] - INFO: Epoch 3781/9999, Iter 189040: Loss = 0.010898740030825138, lr = [0.0001] +[2024-05-20 10:24:56,364] - INFO: Epoch 3782/9999, Iter 189060: Loss = 0.012088936753571033, lr = [0.0001] +[2024-05-20 10:25:23,581] - INFO: Epoch 3782/9999, Iter 189080: Loss = 0.0150785893201828, lr = [0.0001] +[2024-05-20 10:25:52,794] - INFO: Epoch 3783/9999, Iter 189100: Loss = 0.013421498239040375, lr = [0.0001] +[2024-05-20 10:26:20,303] - INFO: Epoch 3783/9999, Iter 189120: Loss = 0.014715911820530891, lr = [0.0001] +[2024-05-20 10:26:48,043] - INFO: Epoch 3783/9999, Iter 189140: Loss = 0.016188181936740875, lr = [0.0001] +[2024-05-20 10:27:17,193] - INFO: Epoch 3784/9999, Iter 189160: Loss = 0.01260516420006752, lr = [0.0001] +[2024-05-20 10:27:45,943] - INFO: Epoch 3784/9999, Iter 189180: Loss = 0.011684303171932697, lr = [0.0001] +[2024-05-20 10:28:14,535] - INFO: Epoch 3785/9999, Iter 189200: Loss = 0.010962534695863724, lr = [0.0001] +[2024-05-20 10:28:41,755] - INFO: Epoch 3785/9999, Iter 189220: Loss = 0.01931808702647686, lr = [0.0001] +[2024-05-20 10:29:08,811] - INFO: Epoch 3785/9999, Iter 189240: Loss = 0.013316876254975796, lr = [0.0001] +[2024-05-20 10:29:21,225] - INFO: Evaluate at epoch 3785! +[2024-05-20 10:29:25,288] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 10:29:25,289] - INFO: Eval PSNR (current): 37.814 (3785) SSIM (current): 0.9601 (3785) +[2024-05-20 10:29:25,289] - INFO: Evaluation over. +[2024-05-20 10:29:43,964] - INFO: Epoch 3786/9999, Iter 189260: Loss = 0.011266065761446953, lr = [0.0001] +[2024-05-20 10:30:11,661] - INFO: Epoch 3786/9999, Iter 189280: Loss = 0.010685805231332779, lr = [0.0001] +[2024-05-20 10:30:40,614] - INFO: Epoch 3787/9999, Iter 189300: Loss = 0.01547032967209816, lr = [0.0001] +[2024-05-20 10:31:08,683] - INFO: Epoch 3787/9999, Iter 189320: Loss = 0.023689165711402893, lr = [0.0001] +[2024-05-20 10:31:36,337] - INFO: Epoch 3787/9999, Iter 189340: Loss = 0.008522732183337212, lr = [0.0001] +[2024-05-20 10:32:05,480] - INFO: Epoch 3788/9999, Iter 189360: Loss = 0.01369871199131012, lr = [0.0001] +[2024-05-20 10:32:32,267] - INFO: Epoch 3788/9999, Iter 189380: Loss = 0.015133802779018879, lr = [0.0001] +[2024-05-20 10:33:01,930] - INFO: Epoch 3789/9999, Iter 189400: Loss = 0.01076603401452303, lr = [0.0001] +[2024-05-20 10:33:29,611] - INFO: Epoch 3789/9999, Iter 189420: Loss = 0.011130141094326973, lr = [0.0001] +[2024-05-20 10:33:57,026] - INFO: Epoch 3789/9999, Iter 189440: Loss = 0.01133629772812128, lr = [0.0001] +[2024-05-20 10:34:26,231] - INFO: Epoch 3790/9999, Iter 189460: Loss = 0.0109182707965374, lr = [0.0001] +[2024-05-20 10:34:53,442] - INFO: Epoch 3790/9999, Iter 189480: Loss = 0.01440589502453804, lr = [0.0001] +[2024-05-20 10:35:19,284] - INFO: Evaluate at epoch 3790! +[2024-05-20 10:35:23,362] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 10:35:23,362] - INFO: Eval PSNR (current): 37.878 (3790) SSIM (current): 0.9603 (3790) +[2024-05-20 10:35:23,362] - INFO: Evaluation over. +[2024-05-20 10:35:27,510] - INFO: Epoch 3791/9999, Iter 189500: Loss = 0.01150018721818924, lr = [0.0001] +[2024-05-20 10:35:55,802] - INFO: Epoch 3791/9999, Iter 189520: Loss = 0.01279402431100607, lr = [0.0001] +[2024-05-20 10:36:24,251] - INFO: Epoch 3791/9999, Iter 189540: Loss = 0.014640902169048786, lr = [0.0001] +[2024-05-20 10:36:52,334] - INFO: Epoch 3792/9999, Iter 189560: Loss = 0.016532208770513535, lr = [0.0001] +[2024-05-20 10:37:19,114] - INFO: Epoch 3792/9999, Iter 189580: Loss = 0.01285923644900322, lr = [0.0001] +[2024-05-20 10:37:47,999] - INFO: Epoch 3793/9999, Iter 189600: Loss = 0.01718137413263321, lr = [0.0001] +[2024-05-20 10:38:15,135] - INFO: Epoch 3793/9999, Iter 189620: Loss = 0.012003016658127308, lr = [0.0001] +[2024-05-20 10:38:42,590] - INFO: Epoch 3793/9999, Iter 189640: Loss = 0.008697183802723885, lr = [0.0001] +[2024-05-20 10:39:12,187] - INFO: Epoch 3794/9999, Iter 189660: Loss = 0.019383175298571587, lr = [0.0001] +[2024-05-20 10:39:39,888] - INFO: Epoch 3794/9999, Iter 189680: Loss = 0.014971570111811161, lr = [0.0001] +[2024-05-20 10:40:08,639] - INFO: Epoch 3795/9999, Iter 189700: Loss = 0.014493805356323719, lr = [0.0001] +[2024-05-20 10:40:36,840] - INFO: Epoch 3795/9999, Iter 189720: Loss = 0.016614843159914017, lr = [0.0001] +[2024-05-20 10:41:04,615] - INFO: Epoch 3795/9999, Iter 189740: Loss = 0.015179891139268875, lr = [0.0001] +[2024-05-20 10:41:17,038] - INFO: Evaluate at epoch 3795! +[2024-05-20 10:41:21,116] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 10:41:21,116] - INFO: Eval PSNR (current): 37.882 (3795) SSIM (current): 0.9604 (3795) +[2024-05-20 10:41:21,116] - INFO: Evaluation over. +[2024-05-20 10:41:39,647] - INFO: Epoch 3796/9999, Iter 189760: Loss = 0.0070984154008328915, lr = [0.0001] +[2024-05-20 10:42:07,496] - INFO: Epoch 3796/9999, Iter 189780: Loss = 0.012212554924190044, lr = [0.0001] +[2024-05-20 10:42:36,531] - INFO: Epoch 3797/9999, Iter 189800: Loss = 0.012378712184727192, lr = [0.0001] +[2024-05-20 10:43:03,243] - INFO: Epoch 3797/9999, Iter 189820: Loss = 0.008312365971505642, lr = [0.0001] +[2024-05-20 10:43:30,222] - INFO: Epoch 3797/9999, Iter 189840: Loss = 0.011893891729414463, lr = [0.0001] +[2024-05-20 10:43:59,870] - INFO: Epoch 3798/9999, Iter 189860: Loss = 0.01850775256752968, lr = [0.0001] +[2024-05-20 10:44:27,378] - INFO: Epoch 3798/9999, Iter 189880: Loss = 0.014033304527401924, lr = [0.0001] +[2024-05-20 10:44:56,527] - INFO: Epoch 3799/9999, Iter 189900: Loss = 0.014139274135231972, lr = [0.0001] +[2024-05-20 10:45:23,898] - INFO: Epoch 3799/9999, Iter 189920: Loss = 0.015959061682224274, lr = [0.0001] +[2024-05-20 10:45:50,803] - INFO: Epoch 3799/9999, Iter 189940: Loss = 0.013345673680305481, lr = [0.0001] +[2024-05-20 10:46:20,366] - INFO: Epoch 3800/9999, Iter 189960: Loss = 0.010853842832148075, lr = [0.0001] +[2024-05-20 10:46:48,447] - INFO: Epoch 3800/9999, Iter 189980: Loss = 0.01401478610932827, lr = [0.0001] +[2024-05-20 10:47:14,869] - INFO: Evaluate at epoch 3800! +[2024-05-20 10:47:18,946] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 10:47:18,946] - INFO: Eval PSNR (current): 37.862 (3800) SSIM (current): 0.9605 (3800) +[2024-05-20 10:47:18,946] - INFO: Evaluation over. +[2024-05-20 10:47:23,211] - INFO: Epoch 3801/9999, Iter 190000: Loss = 0.012668680399656296, lr = [0.0001] +[2024-05-20 10:47:50,448] - INFO: Epoch 3801/9999, Iter 190020: Loss = 0.01386411301791668, lr = [0.0001] +[2024-05-20 10:48:18,843] - INFO: Epoch 3801/9999, Iter 190040: Loss = 0.016447635367512703, lr = [0.0001] +[2024-05-20 10:48:48,136] - INFO: Epoch 3802/9999, Iter 190060: Loss = 0.011937916278839111, lr = [0.0001] +[2024-05-20 10:49:16,099] - INFO: Epoch 3802/9999, Iter 190080: Loss = 0.012681163847446442, lr = [0.0001] +[2024-05-20 10:49:44,919] - INFO: Epoch 3803/9999, Iter 190100: Loss = 0.013151418417692184, lr = [0.0001] +[2024-05-20 10:50:11,842] - INFO: Epoch 3803/9999, Iter 190120: Loss = 0.009181885048747063, lr = [0.0001] +[2024-05-20 10:50:39,418] - INFO: Epoch 3803/9999, Iter 190140: Loss = 0.017481409013271332, lr = [0.0001] +[2024-05-20 10:51:08,663] - INFO: Epoch 3804/9999, Iter 190160: Loss = 0.02341223880648613, lr = [0.0001] +[2024-05-20 10:51:35,691] - INFO: Epoch 3804/9999, Iter 190180: Loss = 0.013635043054819107, lr = [0.0001] +[2024-05-20 10:52:04,555] - INFO: Epoch 3805/9999, Iter 190200: Loss = 0.010663984343409538, lr = [0.0001] +[2024-05-20 10:52:31,565] - INFO: Epoch 3805/9999, Iter 190220: Loss = 0.012101310305297375, lr = [0.0001] +[2024-05-20 10:52:59,465] - INFO: Epoch 3805/9999, Iter 190240: Loss = 0.011390144005417824, lr = [0.0001] +[2024-05-20 10:53:12,280] - INFO: Evaluate at epoch 3805! +[2024-05-20 10:53:16,346] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 10:53:16,346] - INFO: Eval PSNR (current): 37.901 (3805) SSIM (current): 0.9602 (3805) +[2024-05-20 10:53:16,346] - INFO: Evaluation over. +[2024-05-20 10:53:34,173] - INFO: Epoch 3806/9999, Iter 190260: Loss = 0.01673545129597187, lr = [0.0001] +[2024-05-20 10:54:02,297] - INFO: Epoch 3806/9999, Iter 190280: Loss = 0.010450965724885464, lr = [0.0001] +[2024-05-20 10:54:31,575] - INFO: Epoch 3807/9999, Iter 190300: Loss = 0.018539810553193092, lr = [0.0001] +[2024-05-20 10:54:59,575] - INFO: Epoch 3807/9999, Iter 190320: Loss = 0.009313829243183136, lr = [0.0001] +[2024-05-20 10:55:27,507] - INFO: Epoch 3807/9999, Iter 190340: Loss = 0.01663387566804886, lr = [0.0001] +[2024-05-20 10:55:56,661] - INFO: Epoch 3808/9999, Iter 190360: Loss = 0.008512832224369049, lr = [0.0001] +[2024-05-20 10:56:25,219] - INFO: Epoch 3808/9999, Iter 190380: Loss = 0.012032578699290752, lr = [0.0001] +[2024-05-20 10:56:54,357] - INFO: Epoch 3809/9999, Iter 190400: Loss = 0.00950956717133522, lr = [0.0001] +[2024-05-20 10:57:21,529] - INFO: Epoch 3809/9999, Iter 190420: Loss = 0.01684342697262764, lr = [0.0001] +[2024-05-20 10:57:49,267] - INFO: Epoch 3809/9999, Iter 190440: Loss = 0.016687089577317238, lr = [0.0001] +[2024-05-20 10:58:18,387] - INFO: Epoch 3810/9999, Iter 190460: Loss = 0.011728920042514801, lr = [0.0001] +[2024-05-20 10:58:45,987] - INFO: Epoch 3810/9999, Iter 190480: Loss = 0.009108624421060085, lr = [0.0001] +[2024-05-20 10:59:12,506] - INFO: Evaluate at epoch 3810! +[2024-05-20 10:59:16,584] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 10:59:16,584] - INFO: Eval PSNR (current): 37.892 (3810) SSIM (current): 0.9603 (3810) +[2024-05-20 10:59:16,584] - INFO: Evaluation over. +[2024-05-20 10:59:21,110] - INFO: Epoch 3811/9999, Iter 190500: Loss = 0.01342697162181139, lr = [0.0001] +[2024-05-20 10:59:49,723] - INFO: Epoch 3811/9999, Iter 190520: Loss = 0.012885771691799164, lr = [0.0001] +[2024-05-20 11:00:17,678] - INFO: Epoch 3811/9999, Iter 190540: Loss = 0.014088696800172329, lr = [0.0001] +[2024-05-20 11:00:46,957] - INFO: Epoch 3812/9999, Iter 190560: Loss = 0.01658664457499981, lr = [0.0001] +[2024-05-20 11:01:13,987] - INFO: Epoch 3812/9999, Iter 190580: Loss = 0.009273103438317776, lr = [0.0001] +[2024-05-20 11:01:42,515] - INFO: Epoch 3813/9999, Iter 190600: Loss = 0.012057743966579437, lr = [0.0001] +[2024-05-20 11:02:09,777] - INFO: Epoch 3813/9999, Iter 190620: Loss = 0.014549972489476204, lr = [0.0001] +[2024-05-20 11:02:36,926] - INFO: Epoch 3813/9999, Iter 190640: Loss = 0.011155768297612667, lr = [0.0001] +[2024-05-20 11:03:06,663] - INFO: Epoch 3814/9999, Iter 190660: Loss = 0.01099393330514431, lr = [0.0001] +[2024-05-20 11:03:33,735] - INFO: Epoch 3814/9999, Iter 190680: Loss = 0.014551798813045025, lr = [0.0001] +[2024-05-20 11:04:02,830] - INFO: Epoch 3815/9999, Iter 190700: Loss = 0.013781503774225712, lr = [0.0001] +[2024-05-20 11:04:29,994] - INFO: Epoch 3815/9999, Iter 190720: Loss = 0.01153977308422327, lr = [0.0001] +[2024-05-20 11:04:57,258] - INFO: Epoch 3815/9999, Iter 190740: Loss = 0.00829414464533329, lr = [0.0001] +[2024-05-20 11:05:10,093] - INFO: Evaluate at epoch 3815! +[2024-05-20 11:05:14,256] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 11:05:14,256] - INFO: Eval PSNR (current): 37.884 (3815) SSIM (current): 0.9605 (3815) +[2024-05-20 11:05:14,257] - INFO: Evaluation over. +[2024-05-20 11:05:32,208] - INFO: Epoch 3816/9999, Iter 190760: Loss = 0.009863496758043766, lr = [0.0001] +[2024-05-20 11:06:00,951] - INFO: Epoch 3816/9999, Iter 190780: Loss = 0.013973194174468517, lr = [0.0001] +[2024-05-20 11:06:29,843] - INFO: Epoch 3817/9999, Iter 190800: Loss = 0.01017638761550188, lr = [0.0001] +[2024-05-20 11:06:57,401] - INFO: Epoch 3817/9999, Iter 190820: Loss = 0.015537385828793049, lr = [0.0001] +[2024-05-20 11:07:25,180] - INFO: Epoch 3817/9999, Iter 190840: Loss = 0.01673099398612976, lr = [0.0001] +[2024-05-20 11:07:54,491] - INFO: Epoch 3818/9999, Iter 190860: Loss = 0.017992820590734482, lr = [0.0001] +[2024-05-20 11:08:22,581] - INFO: Epoch 3818/9999, Iter 190880: Loss = 0.010377675294876099, lr = [0.0001] +[2024-05-20 11:08:50,995] - INFO: Epoch 3819/9999, Iter 190900: Loss = 0.015874775126576424, lr = [0.0001] +[2024-05-20 11:09:18,471] - INFO: Epoch 3819/9999, Iter 190920: Loss = 0.009102512151002884, lr = [0.0001] +[2024-05-20 11:09:46,262] - INFO: Epoch 3819/9999, Iter 190940: Loss = 0.010403953492641449, lr = [0.0001] +[2024-05-20 11:10:15,320] - INFO: Epoch 3820/9999, Iter 190960: Loss = 0.015666522085666656, lr = [0.0001] +[2024-05-20 11:10:42,187] - INFO: Epoch 3820/9999, Iter 190980: Loss = 0.014048349112272263, lr = [0.0001] +[2024-05-20 11:11:09,085] - INFO: Evaluate at epoch 3820! +[2024-05-20 11:11:13,163] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 11:11:13,163] - INFO: Eval PSNR (current): 37.895 (3820) SSIM (current): 0.9605 (3820) +[2024-05-20 11:11:13,163] - INFO: Evaluation over. +[2024-05-20 11:11:17,723] - INFO: Epoch 3821/9999, Iter 191000: Loss = 0.010764424689114094, lr = [0.0001] +[2024-05-20 11:11:45,928] - INFO: Epoch 3821/9999, Iter 191020: Loss = 0.008366539143025875, lr = [0.0001] +[2024-05-20 11:12:12,387] - INFO: Epoch 3821/9999, Iter 191040: Loss = 0.016720468178391457, lr = [0.0001] +[2024-05-20 11:12:41,171] - INFO: Epoch 3822/9999, Iter 191060: Loss = 0.008935453370213509, lr = [0.0001] +[2024-05-20 11:13:09,178] - INFO: Epoch 3822/9999, Iter 191080: Loss = 0.01289447583258152, lr = [0.0001] +[2024-05-20 11:13:38,531] - INFO: Epoch 3823/9999, Iter 191100: Loss = 0.012824811041355133, lr = [0.0001] +[2024-05-20 11:14:06,203] - INFO: Epoch 3823/9999, Iter 191120: Loss = 0.008997109718620777, lr = [0.0001] +[2024-05-20 11:14:32,924] - INFO: Epoch 3823/9999, Iter 191140: Loss = 0.012838028371334076, lr = [0.0001] +[2024-05-20 11:15:02,303] - INFO: Epoch 3824/9999, Iter 191160: Loss = 0.010339343920350075, lr = [0.0001] +[2024-05-20 11:15:29,537] - INFO: Epoch 3824/9999, Iter 191180: Loss = 0.01362879853695631, lr = [0.0001] +[2024-05-20 11:15:59,400] - INFO: Epoch 3825/9999, Iter 191200: Loss = 0.013135693967342377, lr = [0.0001] +[2024-05-20 11:16:27,883] - INFO: Epoch 3825/9999, Iter 191220: Loss = 0.008863815106451511, lr = [0.0001] +[2024-05-20 11:16:54,248] - INFO: Epoch 3825/9999, Iter 191240: Loss = 0.016771752387285233, lr = [0.0001] +[2024-05-20 11:17:06,475] - INFO: Evaluate at epoch 3825! +[2024-05-20 11:17:10,540] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 11:17:10,540] - INFO: Eval PSNR (current): 37.835 (3825) SSIM (current): 0.9603 (3825) +[2024-05-20 11:17:10,541] - INFO: Evaluation over. +[2024-05-20 11:17:29,514] - INFO: Epoch 3826/9999, Iter 191260: Loss = 0.011486921459436417, lr = [0.0001] +[2024-05-20 11:17:57,282] - INFO: Epoch 3826/9999, Iter 191280: Loss = 0.015676533803343773, lr = [0.0001] +[2024-05-20 11:18:26,063] - INFO: Epoch 3827/9999, Iter 191300: Loss = 0.014250115491449833, lr = [0.0001] +[2024-05-20 11:18:53,907] - INFO: Epoch 3827/9999, Iter 191320: Loss = 0.009530681185424328, lr = [0.0001] +[2024-05-20 11:19:22,415] - INFO: Epoch 3827/9999, Iter 191340: Loss = 0.019513703882694244, lr = [0.0001] +[2024-05-20 11:19:51,447] - INFO: Epoch 3828/9999, Iter 191360: Loss = 0.009879701770842075, lr = [0.0001] +[2024-05-20 11:20:19,915] - INFO: Epoch 3828/9999, Iter 191380: Loss = 0.013099828734993935, lr = [0.0001] +[2024-05-20 11:20:48,215] - INFO: Epoch 3829/9999, Iter 191400: Loss = 0.015674272552132607, lr = [0.0001] +[2024-05-20 11:21:15,903] - INFO: Epoch 3829/9999, Iter 191420: Loss = 0.015283853746950626, lr = [0.0001] +[2024-05-20 11:21:43,718] - INFO: Epoch 3829/9999, Iter 191440: Loss = 0.0071223434060812, lr = [0.0001] +[2024-05-20 11:22:13,663] - INFO: Epoch 3830/9999, Iter 191460: Loss = 0.014184494502842426, lr = [0.0001] +[2024-05-20 11:22:40,683] - INFO: Epoch 3830/9999, Iter 191480: Loss = 0.015074451453983784, lr = [0.0001] +[2024-05-20 11:23:07,304] - INFO: Evaluate at epoch 3830! +[2024-05-20 11:23:11,376] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 11:23:11,376] - INFO: Eval PSNR (current): 37.895 (3830) SSIM (current): 0.9605 (3830) +[2024-05-20 11:23:11,376] - INFO: Evaluation over. +[2024-05-20 11:23:15,703] - INFO: Epoch 3831/9999, Iter 191500: Loss = 0.01375954132527113, lr = [0.0001] +[2024-05-20 11:23:43,766] - INFO: Epoch 3831/9999, Iter 191520: Loss = 0.01613692194223404, lr = [0.0001] +[2024-05-20 11:24:10,901] - INFO: Epoch 3831/9999, Iter 191540: Loss = 0.01200438104569912, lr = [0.0001] +[2024-05-20 11:24:40,165] - INFO: Epoch 3832/9999, Iter 191560: Loss = 0.0069004143588244915, lr = [0.0001] +[2024-05-20 11:25:08,079] - INFO: Epoch 3832/9999, Iter 191580: Loss = 0.011674290522933006, lr = [0.0001] +[2024-05-20 11:25:37,778] - INFO: Epoch 3833/9999, Iter 191600: Loss = 0.013344901613891125, lr = [0.0001] +[2024-05-20 11:26:05,831] - INFO: Epoch 3833/9999, Iter 191620: Loss = 0.01078267302364111, lr = [0.0001] +[2024-05-20 11:26:33,875] - INFO: Epoch 3833/9999, Iter 191640: Loss = 0.011235225945711136, lr = [0.0001] +[2024-05-20 11:27:03,168] - INFO: Epoch 3834/9999, Iter 191660: Loss = 0.011707921512424946, lr = [0.0001] +[2024-05-20 11:27:30,210] - INFO: Epoch 3834/9999, Iter 191680: Loss = 0.01132434792816639, lr = [0.0001] +[2024-05-20 11:27:59,598] - INFO: Epoch 3835/9999, Iter 191700: Loss = 0.012533540837466717, lr = [0.0001] +[2024-05-20 11:28:27,015] - INFO: Epoch 3835/9999, Iter 191720: Loss = 0.012597251683473587, lr = [0.0001] +[2024-05-20 11:28:55,695] - INFO: Epoch 3835/9999, Iter 191740: Loss = 0.012902325950562954, lr = [0.0001] +[2024-05-20 11:29:07,936] - INFO: Evaluate at epoch 3835! +[2024-05-20 11:29:12,000] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 11:29:12,001] - INFO: Eval PSNR (current): 37.781 (3835) SSIM (current): 0.9603 (3835) +[2024-05-20 11:29:12,001] - INFO: Evaluation over. +[2024-05-20 11:29:30,519] - INFO: Epoch 3836/9999, Iter 191760: Loss = 0.015757963061332703, lr = [0.0001] +[2024-05-20 11:29:59,123] - INFO: Epoch 3836/9999, Iter 191780: Loss = 0.01585519313812256, lr = [0.0001] +[2024-05-20 11:30:28,283] - INFO: Epoch 3837/9999, Iter 191800: Loss = 0.011441074311733246, lr = [0.0001] +[2024-05-20 11:30:56,179] - INFO: Epoch 3837/9999, Iter 191820: Loss = 0.01179739274084568, lr = [0.0001] +[2024-05-20 11:31:23,503] - INFO: Epoch 3837/9999, Iter 191840: Loss = 0.009921729564666748, lr = [0.0001] +[2024-05-20 11:31:52,246] - INFO: Epoch 3838/9999, Iter 191860: Loss = 0.01186828687787056, lr = [0.0001] +[2024-05-20 11:32:19,376] - INFO: Epoch 3838/9999, Iter 191880: Loss = 0.009917248971760273, lr = [0.0001] +[2024-05-20 11:32:48,784] - INFO: Epoch 3839/9999, Iter 191900: Loss = 0.012334932573139668, lr = [0.0001] +[2024-05-20 11:33:15,961] - INFO: Epoch 3839/9999, Iter 191920: Loss = 0.010682218708097935, lr = [0.0001] +[2024-05-20 11:33:43,619] - INFO: Epoch 3839/9999, Iter 191940: Loss = 0.013319842517375946, lr = [0.0001] +[2024-05-20 11:34:13,747] - INFO: Epoch 3840/9999, Iter 191960: Loss = 0.010174764320254326, lr = [0.0001] +[2024-05-20 11:34:41,355] - INFO: Epoch 3840/9999, Iter 191980: Loss = 0.0157131627202034, lr = [0.0001] +[2024-05-20 11:35:07,134] - INFO: Evaluate at epoch 3840! +[2024-05-20 11:35:11,208] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 11:35:11,208] - INFO: Eval PSNR (current): 37.802 (3840) SSIM (current): 0.9601 (3840) +[2024-05-20 11:35:11,208] - INFO: Evaluation over. +[2024-05-20 11:35:15,850] - INFO: Epoch 3841/9999, Iter 192000: Loss = 0.013593715615570545, lr = [0.0001] +[2024-05-20 11:35:42,486] - INFO: Epoch 3841/9999, Iter 192020: Loss = 0.017200905829668045, lr = [0.0001] +[2024-05-20 11:36:10,835] - INFO: Epoch 3841/9999, Iter 192040: Loss = 0.012535055167973042, lr = [0.0001] +[2024-05-20 11:36:40,517] - INFO: Epoch 3842/9999, Iter 192060: Loss = 0.012920074164867401, lr = [0.0001] +[2024-05-20 11:37:08,495] - INFO: Epoch 3842/9999, Iter 192080: Loss = 0.01126939244568348, lr = [0.0001] +[2024-05-20 11:37:38,049] - INFO: Epoch 3843/9999, Iter 192100: Loss = 0.017997104674577713, lr = [0.0001] +[2024-05-20 11:38:05,541] - INFO: Epoch 3843/9999, Iter 192120: Loss = 0.02209458127617836, lr = [0.0001] +[2024-05-20 11:38:32,165] - INFO: Epoch 3843/9999, Iter 192140: Loss = 0.009889482520520687, lr = [0.0001] +[2024-05-20 11:39:01,163] - INFO: Epoch 3844/9999, Iter 192160: Loss = 0.008873600512742996, lr = [0.0001] +[2024-05-20 11:39:29,205] - INFO: Epoch 3844/9999, Iter 192180: Loss = 0.013917447067797184, lr = [0.0001] +[2024-05-20 11:39:58,102] - INFO: Epoch 3845/9999, Iter 192200: Loss = 0.016546612605452538, lr = [0.0001] +[2024-05-20 11:40:26,711] - INFO: Epoch 3845/9999, Iter 192220: Loss = 0.010841770097613335, lr = [0.0001] +[2024-05-20 11:40:54,907] - INFO: Epoch 3845/9999, Iter 192240: Loss = 0.011693451553583145, lr = [0.0001] +[2024-05-20 11:41:06,904] - INFO: Evaluate at epoch 3845! +[2024-05-20 11:41:10,981] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 11:41:10,981] - INFO: Eval PSNR (current): 37.885 (3845) SSIM (current): 0.9606 (3845) +[2024-05-20 11:41:10,981] - INFO: Evaluation over. +[2024-05-20 11:41:29,337] - INFO: Epoch 3846/9999, Iter 192260: Loss = 0.011888569220900536, lr = [0.0001] +[2024-05-20 11:41:57,243] - INFO: Epoch 3846/9999, Iter 192280: Loss = 0.01370777003467083, lr = [0.0001] +[2024-05-20 11:42:25,179] - INFO: Epoch 3847/9999, Iter 192300: Loss = 0.010325622744858265, lr = [0.0001] +[2024-05-20 11:42:52,994] - INFO: Epoch 3847/9999, Iter 192320: Loss = 0.014956513419747353, lr = [0.0001] +[2024-05-20 11:43:20,923] - INFO: Epoch 3847/9999, Iter 192340: Loss = 0.016382331028580666, lr = [0.0001] +[2024-05-20 11:43:50,377] - INFO: Epoch 3848/9999, Iter 192360: Loss = 0.013520902954041958, lr = [0.0001] +[2024-05-20 11:44:17,784] - INFO: Epoch 3848/9999, Iter 192380: Loss = 0.011673824861645699, lr = [0.0001] +[2024-05-20 11:44:47,075] - INFO: Epoch 3849/9999, Iter 192400: Loss = 0.011159591376781464, lr = [0.0001] +[2024-05-20 11:45:14,971] - INFO: Epoch 3849/9999, Iter 192420: Loss = 0.010989677160978317, lr = [0.0001] +[2024-05-20 11:45:42,693] - INFO: Epoch 3849/9999, Iter 192440: Loss = 0.014558039605617523, lr = [0.0001] +[2024-05-20 11:46:12,610] - INFO: Epoch 3850/9999, Iter 192460: Loss = 0.012732677161693573, lr = [0.0001] +[2024-05-20 11:46:40,602] - INFO: Epoch 3850/9999, Iter 192480: Loss = 0.016755595803260803, lr = [0.0001] +[2024-05-20 11:47:06,446] - INFO: Evaluate at epoch 3850! +[2024-05-20 11:47:10,515] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 11:47:10,516] - INFO: Eval PSNR (current): 37.795 (3850) SSIM (current): 0.9603 (3850) +[2024-05-20 11:47:10,516] - INFO: Evaluation over. +[2024-05-20 11:47:14,901] - INFO: Epoch 3851/9999, Iter 192500: Loss = 0.012242279946804047, lr = [0.0001] +[2024-05-20 11:47:42,419] - INFO: Epoch 3851/9999, Iter 192520: Loss = 0.013831335119903088, lr = [0.0001] +[2024-05-20 11:48:09,984] - INFO: Epoch 3851/9999, Iter 192540: Loss = 0.017550457268953323, lr = [0.0001] +[2024-05-20 11:48:39,043] - INFO: Epoch 3852/9999, Iter 192560: Loss = 0.014612322673201561, lr = [0.0001] +[2024-05-20 11:49:05,535] - INFO: Epoch 3852/9999, Iter 192580: Loss = 0.011929540894925594, lr = [0.0001] +[2024-05-20 11:49:35,052] - INFO: Epoch 3853/9999, Iter 192600: Loss = 0.011371908709406853, lr = [0.0001] +[2024-05-20 11:50:02,595] - INFO: Epoch 3853/9999, Iter 192620: Loss = 0.012335216626524925, lr = [0.0001] +[2024-05-20 11:50:29,828] - INFO: Epoch 3853/9999, Iter 192640: Loss = 0.013063622638583183, lr = [0.0001] +[2024-05-20 11:50:58,871] - INFO: Epoch 3854/9999, Iter 192660: Loss = 0.011455558240413666, lr = [0.0001] +[2024-05-20 11:51:26,993] - INFO: Epoch 3854/9999, Iter 192680: Loss = 0.009536259807646275, lr = [0.0001] +[2024-05-20 11:51:55,468] - INFO: Epoch 3855/9999, Iter 192700: Loss = 0.012960385531187057, lr = [0.0001] +[2024-05-20 11:52:22,467] - INFO: Epoch 3855/9999, Iter 192720: Loss = 0.009149612858891487, lr = [0.0001] +[2024-05-20 11:52:49,267] - INFO: Epoch 3855/9999, Iter 192740: Loss = 0.020212922245264053, lr = [0.0001] +[2024-05-20 11:53:02,088] - INFO: Evaluate at epoch 3855! +[2024-05-20 11:53:06,122] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 11:53:06,122] - INFO: Eval PSNR (current): 37.868 (3855) SSIM (current): 0.9603 (3855) +[2024-05-20 11:53:06,122] - INFO: Evaluation over. +[2024-05-20 11:53:24,764] - INFO: Epoch 3856/9999, Iter 192760: Loss = 0.010318012908101082, lr = [0.0001] +[2024-05-20 11:53:52,875] - INFO: Epoch 3856/9999, Iter 192780: Loss = 0.015517729334533215, lr = [0.0001] +[2024-05-20 11:54:22,026] - INFO: Epoch 3857/9999, Iter 192800: Loss = 0.015120030380785465, lr = [0.0001] +[2024-05-20 11:54:49,552] - INFO: Epoch 3857/9999, Iter 192820: Loss = 0.012032060883939266, lr = [0.0001] +[2024-05-20 11:55:16,851] - INFO: Epoch 3857/9999, Iter 192840: Loss = 0.011776197701692581, lr = [0.0001] +[2024-05-20 11:55:45,812] - INFO: Epoch 3858/9999, Iter 192860: Loss = 0.011089717969298363, lr = [0.0001] +[2024-05-20 11:56:12,712] - INFO: Epoch 3858/9999, Iter 192880: Loss = 0.012478644959628582, lr = [0.0001] +[2024-05-20 11:56:41,919] - INFO: Epoch 3859/9999, Iter 192900: Loss = 0.013269566930830479, lr = [0.0001] +[2024-05-20 11:57:09,726] - INFO: Epoch 3859/9999, Iter 192920: Loss = 0.01112488005310297, lr = [0.0001] +[2024-05-20 11:57:37,791] - INFO: Epoch 3859/9999, Iter 192940: Loss = 0.01223850715905428, lr = [0.0001] +[2024-05-20 11:58:06,679] - INFO: Epoch 3860/9999, Iter 192960: Loss = 0.01807696558535099, lr = [0.0001] +[2024-05-20 11:58:34,619] - INFO: Epoch 3860/9999, Iter 192980: Loss = 0.012396596372127533, lr = [0.0001] +[2024-05-20 11:59:00,808] - INFO: Evaluate at epoch 3860! +[2024-05-20 11:59:04,887] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 11:59:04,888] - INFO: Eval PSNR (current): 37.874 (3860) SSIM (current): 0.9605 (3860) +[2024-05-20 11:59:04,888] - INFO: Evaluation over. +[2024-05-20 11:59:09,809] - INFO: Epoch 3861/9999, Iter 193000: Loss = 0.012406500056385994, lr = [0.0001] +[2024-05-20 11:59:37,783] - INFO: Epoch 3861/9999, Iter 193020: Loss = 0.014441684819757938, lr = [0.0001] +[2024-05-20 12:00:04,763] - INFO: Epoch 3861/9999, Iter 193040: Loss = 0.015051749534904957, lr = [0.0001] +[2024-05-20 12:00:33,551] - INFO: Epoch 3862/9999, Iter 193060: Loss = 0.009662610478699207, lr = [0.0001] +[2024-05-20 12:01:00,601] - INFO: Epoch 3862/9999, Iter 193080: Loss = 0.014107790775597095, lr = [0.0001] +[2024-05-20 12:01:30,430] - INFO: Epoch 3863/9999, Iter 193100: Loss = 0.008943300694227219, lr = [0.0001] +[2024-05-20 12:01:57,115] - INFO: Epoch 3863/9999, Iter 193120: Loss = 0.013436596840620041, lr = [0.0001] +[2024-05-20 12:02:25,099] - INFO: Epoch 3863/9999, Iter 193140: Loss = 0.012526128441095352, lr = [0.0001] +[2024-05-20 12:02:54,179] - INFO: Epoch 3864/9999, Iter 193160: Loss = 0.014313061721622944, lr = [0.0001] +[2024-05-20 12:03:21,044] - INFO: Epoch 3864/9999, Iter 193180: Loss = 0.0188694316893816, lr = [0.0001] +[2024-05-20 12:03:49,840] - INFO: Epoch 3865/9999, Iter 193200: Loss = 0.008662072010338306, lr = [0.0001] +[2024-05-20 12:04:17,427] - INFO: Epoch 3865/9999, Iter 193220: Loss = 0.017116114497184753, lr = [0.0001] +[2024-05-20 12:04:45,185] - INFO: Epoch 3865/9999, Iter 193240: Loss = 0.015255740843713284, lr = [0.0001] +[2024-05-20 12:04:57,682] - INFO: Evaluate at epoch 3865! +[2024-05-20 12:05:01,754] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 12:05:01,754] - INFO: Eval PSNR (current): 37.850 (3865) SSIM (current): 0.9603 (3865) +[2024-05-20 12:05:01,755] - INFO: Evaluation over. +[2024-05-20 12:05:20,060] - INFO: Epoch 3866/9999, Iter 193260: Loss = 0.014572291634976864, lr = [0.0001] +[2024-05-20 12:05:47,547] - INFO: Epoch 3866/9999, Iter 193280: Loss = 0.012387080118060112, lr = [0.0001] +[2024-05-20 12:06:17,069] - INFO: Epoch 3867/9999, Iter 193300: Loss = 0.014283344149589539, lr = [0.0001] +[2024-05-20 12:06:43,898] - INFO: Epoch 3867/9999, Iter 193320: Loss = 0.016950715333223343, lr = [0.0001] +[2024-05-20 12:07:11,336] - INFO: Epoch 3867/9999, Iter 193340: Loss = 0.014745891094207764, lr = [0.0001] +[2024-05-20 12:07:40,451] - INFO: Epoch 3868/9999, Iter 193360: Loss = 0.012956570833921432, lr = [0.0001] +[2024-05-20 12:08:09,014] - INFO: Epoch 3868/9999, Iter 193380: Loss = 0.010223318822681904, lr = [0.0001] +[2024-05-20 12:08:37,723] - INFO: Epoch 3869/9999, Iter 193400: Loss = 0.01504894532263279, lr = [0.0001] +[2024-05-20 12:09:06,114] - INFO: Epoch 3869/9999, Iter 193420: Loss = 0.01875126361846924, lr = [0.0001] +[2024-05-20 12:09:34,167] - INFO: Epoch 3869/9999, Iter 193440: Loss = 0.008010045625269413, lr = [0.0001] +[2024-05-20 12:10:02,835] - INFO: Epoch 3870/9999, Iter 193460: Loss = 0.009751148521900177, lr = [0.0001] +[2024-05-20 12:10:31,865] - INFO: Epoch 3870/9999, Iter 193480: Loss = 0.012141471728682518, lr = [0.0001] +[2024-05-20 12:10:57,520] - INFO: Evaluate at epoch 3870! +[2024-05-20 12:11:01,596] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 12:11:01,597] - INFO: Eval PSNR (current): 37.877 (3870) SSIM (current): 0.9603 (3870) +[2024-05-20 12:11:01,597] - INFO: Evaluation over. +[2024-05-20 12:11:06,165] - INFO: Epoch 3871/9999, Iter 193500: Loss = 0.013253717683255672, lr = [0.0001] +[2024-05-20 12:11:35,148] - INFO: Epoch 3871/9999, Iter 193520: Loss = 0.012469567358493805, lr = [0.0001] +[2024-05-20 12:12:02,865] - INFO: Epoch 3871/9999, Iter 193540: Loss = 0.01181365642696619, lr = [0.0001] +[2024-05-20 12:12:31,297] - INFO: Epoch 3872/9999, Iter 193560: Loss = 0.01319330744445324, lr = [0.0001] +[2024-05-20 12:12:58,975] - INFO: Epoch 3872/9999, Iter 193580: Loss = 0.014736252836883068, lr = [0.0001] +[2024-05-20 12:13:28,355] - INFO: Epoch 3873/9999, Iter 193600: Loss = 0.01189503539353609, lr = [0.0001] +[2024-05-20 12:13:56,195] - INFO: Epoch 3873/9999, Iter 193620: Loss = 0.009442062117159367, lr = [0.0001] +[2024-05-20 12:14:23,579] - INFO: Epoch 3873/9999, Iter 193640: Loss = 0.017952248454093933, lr = [0.0001] +[2024-05-20 12:14:52,435] - INFO: Epoch 3874/9999, Iter 193660: Loss = 0.012536183930933475, lr = [0.0001] +[2024-05-20 12:15:19,062] - INFO: Epoch 3874/9999, Iter 193680: Loss = 0.011151126585900784, lr = [0.0001] +[2024-05-20 12:15:48,296] - INFO: Epoch 3875/9999, Iter 193700: Loss = 0.01526544988155365, lr = [0.0001] +[2024-05-20 12:16:16,777] - INFO: Epoch 3875/9999, Iter 193720: Loss = 0.011463575065135956, lr = [0.0001] +[2024-05-20 12:16:44,606] - INFO: Epoch 3875/9999, Iter 193740: Loss = 0.019519701600074768, lr = [0.0001] +[2024-05-20 12:16:56,468] - INFO: Evaluate at epoch 3875! +[2024-05-20 12:17:00,530] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 12:17:00,531] - INFO: Eval PSNR (current): 37.728 (3875) SSIM (current): 0.9603 (3875) +[2024-05-20 12:17:00,531] - INFO: Evaluation over. +[2024-05-20 12:17:19,139] - INFO: Epoch 3876/9999, Iter 193760: Loss = 0.014121877029538155, lr = [0.0001] +[2024-05-20 12:17:46,950] - INFO: Epoch 3876/9999, Iter 193780: Loss = 0.01374875195324421, lr = [0.0001] +[2024-05-20 12:18:16,578] - INFO: Epoch 3877/9999, Iter 193800: Loss = 0.014653957448899746, lr = [0.0001] +[2024-05-20 12:18:43,323] - INFO: Epoch 3877/9999, Iter 193820: Loss = 0.012667927891016006, lr = [0.0001] +[2024-05-20 12:19:10,916] - INFO: Epoch 3877/9999, Iter 193840: Loss = 0.016216685995459557, lr = [0.0001] +[2024-05-20 12:19:39,160] - INFO: Epoch 3878/9999, Iter 193860: Loss = 0.013959191739559174, lr = [0.0001] +[2024-05-20 12:20:07,267] - INFO: Epoch 3878/9999, Iter 193880: Loss = 0.0150027796626091, lr = [0.0001] +[2024-05-20 12:20:36,247] - INFO: Epoch 3879/9999, Iter 193900: Loss = 0.015210030600428581, lr = [0.0001] +[2024-05-20 12:21:03,155] - INFO: Epoch 3879/9999, Iter 193920: Loss = 0.011706456542015076, lr = [0.0001] +[2024-05-20 12:21:30,303] - INFO: Epoch 3879/9999, Iter 193940: Loss = 0.006764804013073444, lr = [0.0001] +[2024-05-20 12:22:00,021] - INFO: Epoch 3880/9999, Iter 193960: Loss = 0.016691314056515694, lr = [0.0001] +[2024-05-20 12:22:26,995] - INFO: Epoch 3880/9999, Iter 193980: Loss = 0.01034062821418047, lr = [0.0001] +[2024-05-20 12:22:53,621] - INFO: Evaluate at epoch 3880! +[2024-05-20 12:22:57,697] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 12:22:57,697] - INFO: Eval PSNR (current): 37.895 (3880) SSIM (current): 0.9606 (3880) +[2024-05-20 12:22:57,697] - INFO: Evaluation over. +[2024-05-20 12:23:02,268] - INFO: Epoch 3881/9999, Iter 194000: Loss = 0.007224318105727434, lr = [0.0001] +[2024-05-20 12:23:30,996] - INFO: Epoch 3881/9999, Iter 194020: Loss = 0.013112114742398262, lr = [0.0001] +[2024-05-20 12:23:58,826] - INFO: Epoch 3881/9999, Iter 194040: Loss = 0.014408005401492119, lr = [0.0001] +[2024-05-20 12:24:27,519] - INFO: Epoch 3882/9999, Iter 194060: Loss = 0.015142207033932209, lr = [0.0001] +[2024-05-20 12:24:54,567] - INFO: Epoch 3882/9999, Iter 194080: Loss = 0.008834767155349255, lr = [0.0001] +[2024-05-20 12:25:23,474] - INFO: Epoch 3883/9999, Iter 194100: Loss = 0.016331298276782036, lr = [0.0001] +[2024-05-20 12:25:52,591] - INFO: Epoch 3883/9999, Iter 194120: Loss = 0.012404834851622581, lr = [0.0001] +[2024-05-20 12:26:20,435] - INFO: Epoch 3883/9999, Iter 194140: Loss = 0.008717097342014313, lr = [0.0001] +[2024-05-20 12:26:49,795] - INFO: Epoch 3884/9999, Iter 194160: Loss = 0.01923452876508236, lr = [0.0001] +[2024-05-20 12:27:18,328] - INFO: Epoch 3884/9999, Iter 194180: Loss = 0.007910140790045261, lr = [0.0001] +[2024-05-20 12:27:46,383] - INFO: Epoch 3885/9999, Iter 194200: Loss = 0.010613673366606236, lr = [0.0001] +[2024-05-20 12:28:13,895] - INFO: Epoch 3885/9999, Iter 194220: Loss = 0.010003759525716305, lr = [0.0001] +[2024-05-20 12:28:40,786] - INFO: Epoch 3885/9999, Iter 194240: Loss = 0.012241018936038017, lr = [0.0001] +[2024-05-20 12:28:52,852] - INFO: Evaluate at epoch 3885! +[2024-05-20 12:28:56,919] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 12:28:56,919] - INFO: Eval PSNR (current): 37.810 (3885) SSIM (current): 0.9603 (3885) +[2024-05-20 12:28:56,919] - INFO: Evaluation over. +[2024-05-20 12:29:14,887] - INFO: Epoch 3886/9999, Iter 194260: Loss = 0.014496914111077785, lr = [0.0001] +[2024-05-20 12:29:42,795] - INFO: Epoch 3886/9999, Iter 194280: Loss = 0.009632674045860767, lr = [0.0001] +[2024-05-20 12:30:12,118] - INFO: Epoch 3887/9999, Iter 194300: Loss = 0.013263778761029243, lr = [0.0001] +[2024-05-20 12:30:40,135] - INFO: Epoch 3887/9999, Iter 194320: Loss = 0.015994900837540627, lr = [0.0001] +[2024-05-20 12:31:06,960] - INFO: Epoch 3887/9999, Iter 194340: Loss = 0.013362478464841843, lr = [0.0001] +[2024-05-20 12:31:36,687] - INFO: Epoch 3888/9999, Iter 194360: Loss = 0.01207784190773964, lr = [0.0001] +[2024-05-20 12:32:04,131] - INFO: Epoch 3888/9999, Iter 194380: Loss = 0.01885209232568741, lr = [0.0001] +[2024-05-20 12:32:33,311] - INFO: Epoch 3889/9999, Iter 194400: Loss = 0.008705506101250648, lr = [0.0001] +[2024-05-20 12:33:00,504] - INFO: Epoch 3889/9999, Iter 194420: Loss = 0.012116163037717342, lr = [0.0001] +[2024-05-20 12:33:27,767] - INFO: Epoch 3889/9999, Iter 194440: Loss = 0.01605110801756382, lr = [0.0001] +[2024-05-20 12:33:56,047] - INFO: Epoch 3890/9999, Iter 194460: Loss = 0.013285266235470772, lr = [0.0001] +[2024-05-20 12:34:22,748] - INFO: Epoch 3890/9999, Iter 194480: Loss = 0.011704515665769577, lr = [0.0001] +[2024-05-20 12:34:49,548] - INFO: Evaluate at epoch 3890! +[2024-05-20 12:34:53,626] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 12:34:53,626] - INFO: Eval PSNR (current): 37.828 (3890) SSIM (current): 0.9601 (3890) +[2024-05-20 12:34:53,627] - INFO: Evaluation over. +[2024-05-20 12:34:58,157] - INFO: Epoch 3891/9999, Iter 194500: Loss = 0.013117547146975994, lr = [0.0001] +[2024-05-20 12:35:26,147] - INFO: Epoch 3891/9999, Iter 194520: Loss = 0.017336318269371986, lr = [0.0001] +[2024-05-20 12:35:53,384] - INFO: Epoch 3891/9999, Iter 194540: Loss = 0.011340472847223282, lr = [0.0001] +[2024-05-20 12:36:22,620] - INFO: Epoch 3892/9999, Iter 194560: Loss = 0.01611168496310711, lr = [0.0001] +[2024-05-20 12:36:50,397] - INFO: Epoch 3892/9999, Iter 194580: Loss = 0.010254333727061749, lr = [0.0001] +[2024-05-20 12:37:19,958] - INFO: Epoch 3893/9999, Iter 194600: Loss = 0.016458775848150253, lr = [0.0001] +[2024-05-20 12:37:48,443] - INFO: Epoch 3893/9999, Iter 194620: Loss = 0.011626151390373707, lr = [0.0001] +[2024-05-20 12:38:16,096] - INFO: Epoch 3893/9999, Iter 194640: Loss = 0.013776753097772598, lr = [0.0001] +[2024-05-20 12:38:44,339] - INFO: Epoch 3894/9999, Iter 194660: Loss = 0.016378143802285194, lr = [0.0001] +[2024-05-20 12:39:11,632] - INFO: Epoch 3894/9999, Iter 194680: Loss = 0.00957294087857008, lr = [0.0001] +[2024-05-20 12:39:40,460] - INFO: Epoch 3895/9999, Iter 194700: Loss = 0.010744882747530937, lr = [0.0001] +[2024-05-20 12:40:06,794] - INFO: Epoch 3895/9999, Iter 194720: Loss = 0.010138574987649918, lr = [0.0001] +[2024-05-20 12:40:34,419] - INFO: Epoch 3895/9999, Iter 194740: Loss = 0.010686790570616722, lr = [0.0001] +[2024-05-20 12:40:46,540] - INFO: Evaluate at epoch 3895! +[2024-05-20 12:40:50,604] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 12:40:50,604] - INFO: Eval PSNR (current): 37.875 (3895) SSIM (current): 0.9606 (3895) +[2024-05-20 12:40:50,604] - INFO: Evaluation over. +[2024-05-20 12:41:08,275] - INFO: Epoch 3896/9999, Iter 194760: Loss = 0.01464617345482111, lr = [0.0001] +[2024-05-20 12:41:36,801] - INFO: Epoch 3896/9999, Iter 194780: Loss = 0.011564246378839016, lr = [0.0001] +[2024-05-20 12:42:05,319] - INFO: Epoch 3897/9999, Iter 194800: Loss = 0.012611422687768936, lr = [0.0001] +[2024-05-20 12:42:33,163] - INFO: Epoch 3897/9999, Iter 194820: Loss = 0.012720157392323017, lr = [0.0001] +[2024-05-20 12:43:02,207] - INFO: Epoch 3897/9999, Iter 194840: Loss = 0.011923721991479397, lr = [0.0001] +[2024-05-20 12:43:30,547] - INFO: Epoch 3898/9999, Iter 194860: Loss = 0.01175449974834919, lr = [0.0001] +[2024-05-20 12:43:58,668] - INFO: Epoch 3898/9999, Iter 194880: Loss = 0.013959262520074844, lr = [0.0001] +[2024-05-20 12:44:27,731] - INFO: Epoch 3899/9999, Iter 194900: Loss = 0.018446683883666992, lr = [0.0001] +[2024-05-20 12:44:55,585] - INFO: Epoch 3899/9999, Iter 194920: Loss = 0.009108125232160091, lr = [0.0001] +[2024-05-20 12:45:23,950] - INFO: Epoch 3899/9999, Iter 194940: Loss = 0.018078548833727837, lr = [0.0001] +[2024-05-20 12:45:53,107] - INFO: Epoch 3900/9999, Iter 194960: Loss = 0.009700332768261433, lr = [0.0001] +[2024-05-20 12:46:21,182] - INFO: Epoch 3900/9999, Iter 194980: Loss = 0.011863739229738712, lr = [0.0001] +[2024-05-20 12:46:47,077] - INFO: Evaluate at epoch 3900! +[2024-05-20 12:46:51,154] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 12:46:51,154] - INFO: Eval PSNR (current): 37.852 (3900) SSIM (current): 0.9604 (3900) +[2024-05-20 12:46:51,154] - INFO: Evaluation over. +[2024-05-20 12:46:55,790] - INFO: Epoch 3901/9999, Iter 195000: Loss = 0.011161771602928638, lr = [0.0001] +[2024-05-20 12:47:23,341] - INFO: Epoch 3901/9999, Iter 195020: Loss = 0.009133721701800823, lr = [0.0001] +[2024-05-20 12:47:51,679] - INFO: Epoch 3901/9999, Iter 195040: Loss = 0.014914914965629578, lr = [0.0001] +[2024-05-20 12:48:20,925] - INFO: Epoch 3902/9999, Iter 195060: Loss = 0.012451504357159138, lr = [0.0001] +[2024-05-20 12:48:49,251] - INFO: Epoch 3902/9999, Iter 195080: Loss = 0.01076090894639492, lr = [0.0001] +[2024-05-20 12:49:18,304] - INFO: Epoch 3903/9999, Iter 195100: Loss = 0.010489881969988346, lr = [0.0001] +[2024-05-20 12:49:45,820] - INFO: Epoch 3903/9999, Iter 195120: Loss = 0.017097676172852516, lr = [0.0001] +[2024-05-20 12:50:13,437] - INFO: Epoch 3903/9999, Iter 195140: Loss = 0.01727874018251896, lr = [0.0001] +[2024-05-20 12:50:42,963] - INFO: Epoch 3904/9999, Iter 195160: Loss = 0.014494538307189941, lr = [0.0001] +[2024-05-20 12:51:11,181] - INFO: Epoch 3904/9999, Iter 195180: Loss = 0.010191566310822964, lr = [0.0001] +[2024-05-20 12:51:39,763] - INFO: Epoch 3905/9999, Iter 195200: Loss = 0.012605211697518826, lr = [0.0001] +[2024-05-20 12:52:08,699] - INFO: Epoch 3905/9999, Iter 195220: Loss = 0.012935791164636612, lr = [0.0001] +[2024-05-20 12:52:35,931] - INFO: Epoch 3905/9999, Iter 195240: Loss = 0.014485253021121025, lr = [0.0001] +[2024-05-20 12:52:48,073] - INFO: Evaluate at epoch 3905! +[2024-05-20 12:52:52,133] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 12:52:52,134] - INFO: Eval PSNR (current): 37.807 (3905) SSIM (current): 0.9602 (3905) +[2024-05-20 12:52:52,134] - INFO: Evaluation over. +[2024-05-20 12:53:09,881] - INFO: Epoch 3906/9999, Iter 195260: Loss = 0.014072058722376823, lr = [0.0001] +[2024-05-20 12:53:37,151] - INFO: Epoch 3906/9999, Iter 195280: Loss = 0.012606102973222733, lr = [0.0001] +[2024-05-20 12:54:05,995] - INFO: Epoch 3907/9999, Iter 195300: Loss = 0.015662791207432747, lr = [0.0001] +[2024-05-20 12:54:32,867] - INFO: Epoch 3907/9999, Iter 195320: Loss = 0.011133880354464054, lr = [0.0001] +[2024-05-20 12:55:00,743] - INFO: Epoch 3907/9999, Iter 195340: Loss = 0.012258253991603851, lr = [0.0001] +[2024-05-20 12:55:30,383] - INFO: Epoch 3908/9999, Iter 195360: Loss = 0.017696036025881767, lr = [0.0001] +[2024-05-20 12:55:58,356] - INFO: Epoch 3908/9999, Iter 195380: Loss = 0.01702592335641384, lr = [0.0001] +[2024-05-20 12:56:27,011] - INFO: Epoch 3909/9999, Iter 195400: Loss = 0.011688744649291039, lr = [0.0001] +[2024-05-20 12:56:54,883] - INFO: Epoch 3909/9999, Iter 195420: Loss = 0.0109736742451787, lr = [0.0001] +[2024-05-20 12:57:23,320] - INFO: Epoch 3909/9999, Iter 195440: Loss = 0.012822993099689484, lr = [0.0001] +[2024-05-20 12:57:51,457] - INFO: Epoch 3910/9999, Iter 195460: Loss = 0.014119778759777546, lr = [0.0001] +[2024-05-20 12:58:18,772] - INFO: Epoch 3910/9999, Iter 195480: Loss = 0.01839989237487316, lr = [0.0001] +[2024-05-20 12:58:45,289] - INFO: Evaluate at epoch 3910! +[2024-05-20 12:58:49,384] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 12:58:49,384] - INFO: Eval PSNR (current): 37.880 (3910) SSIM (current): 0.9604 (3910) +[2024-05-20 12:58:49,384] - INFO: Evaluation over. +[2024-05-20 12:58:53,752] - INFO: Epoch 3911/9999, Iter 195500: Loss = 0.018198896199464798, lr = [0.0001] +[2024-05-20 12:59:22,451] - INFO: Epoch 3911/9999, Iter 195520: Loss = 0.01292180735617876, lr = [0.0001] +[2024-05-20 12:59:50,479] - INFO: Epoch 3911/9999, Iter 195540: Loss = 0.012174403294920921, lr = [0.0001] +[2024-05-20 13:00:19,259] - INFO: Epoch 3912/9999, Iter 195560: Loss = 0.01771710254251957, lr = [0.0001] +[2024-05-20 13:00:46,736] - INFO: Epoch 3912/9999, Iter 195580: Loss = 0.013107352890074253, lr = [0.0001] +[2024-05-20 13:01:16,003] - INFO: Epoch 3913/9999, Iter 195600: Loss = 0.012131194584071636, lr = [0.0001] +[2024-05-20 13:01:43,746] - INFO: Epoch 3913/9999, Iter 195620: Loss = 0.014966034330427647, lr = [0.0001] +[2024-05-20 13:02:12,216] - INFO: Epoch 3913/9999, Iter 195640: Loss = 0.019485747441649437, lr = [0.0001] +[2024-05-20 13:02:40,595] - INFO: Epoch 3914/9999, Iter 195660: Loss = 0.013913909904658794, lr = [0.0001] +[2024-05-20 13:03:07,683] - INFO: Epoch 3914/9999, Iter 195680: Loss = 0.01151038147509098, lr = [0.0001] +[2024-05-20 13:03:36,795] - INFO: Epoch 3915/9999, Iter 195700: Loss = 0.01412057876586914, lr = [0.0001] +[2024-05-20 13:04:04,087] - INFO: Epoch 3915/9999, Iter 195720: Loss = 0.011205757036805153, lr = [0.0001] +[2024-05-20 13:04:31,303] - INFO: Epoch 3915/9999, Iter 195740: Loss = 0.014137079007923603, lr = [0.0001] +[2024-05-20 13:04:44,100] - INFO: Evaluate at epoch 3915! +[2024-05-20 13:04:48,162] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 13:04:48,162] - INFO: Eval PSNR (current): 37.906 (3915) SSIM (current): 0.9604 (3915) +[2024-05-20 13:04:48,162] - INFO: Evaluation over. +[2024-05-20 13:05:07,546] - INFO: Epoch 3916/9999, Iter 195760: Loss = 0.012600683607161045, lr = [0.0001] +[2024-05-20 13:05:35,519] - INFO: Epoch 3916/9999, Iter 195780: Loss = 0.014299622736871243, lr = [0.0001] +[2024-05-20 13:06:04,321] - INFO: Epoch 3917/9999, Iter 195800: Loss = 0.013113630935549736, lr = [0.0001] +[2024-05-20 13:06:31,753] - INFO: Epoch 3917/9999, Iter 195820: Loss = 0.012533837929368019, lr = [0.0001] +[2024-05-20 13:06:59,823] - INFO: Epoch 3917/9999, Iter 195840: Loss = 0.011245334520936012, lr = [0.0001] +[2024-05-20 13:07:28,931] - INFO: Epoch 3918/9999, Iter 195860: Loss = 0.01166588719934225, lr = [0.0001] +[2024-05-20 13:07:56,235] - INFO: Epoch 3918/9999, Iter 195880: Loss = 0.012365606613457203, lr = [0.0001] +[2024-05-20 13:08:25,047] - INFO: Epoch 3919/9999, Iter 195900: Loss = 0.012499767355620861, lr = [0.0001] +[2024-05-20 13:08:52,590] - INFO: Epoch 3919/9999, Iter 195920: Loss = 0.008508436381816864, lr = [0.0001] +[2024-05-20 13:09:21,129] - INFO: Epoch 3919/9999, Iter 195940: Loss = 0.012318545021116734, lr = [0.0001] +[2024-05-20 13:09:49,636] - INFO: Epoch 3920/9999, Iter 195960: Loss = 0.016574010252952576, lr = [0.0001] +[2024-05-20 13:10:17,810] - INFO: Epoch 3920/9999, Iter 195980: Loss = 0.014263193123042583, lr = [0.0001] +[2024-05-20 13:10:44,080] - INFO: Evaluate at epoch 3920! +[2024-05-20 13:10:48,149] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 13:10:48,149] - INFO: Eval PSNR (current): 37.743 (3920) SSIM (current): 0.9603 (3920) +[2024-05-20 13:10:48,149] - INFO: Evaluation over. +[2024-05-20 13:10:52,886] - INFO: Epoch 3921/9999, Iter 196000: Loss = 0.01776687428355217, lr = [0.0001] +[2024-05-20 13:11:21,187] - INFO: Epoch 3921/9999, Iter 196020: Loss = 0.009597447700798512, lr = [0.0001] +[2024-05-20 13:11:48,339] - INFO: Epoch 3921/9999, Iter 196040: Loss = 0.01468602940440178, lr = [0.0001] +[2024-05-20 13:12:16,999] - INFO: Epoch 3922/9999, Iter 196060: Loss = 0.007884000428020954, lr = [0.0001] +[2024-05-20 13:12:44,666] - INFO: Epoch 3922/9999, Iter 196080: Loss = 0.015155313536524773, lr = [0.0001] +[2024-05-20 13:13:13,391] - INFO: Epoch 3923/9999, Iter 196100: Loss = 0.01624874956905842, lr = [0.0001] +[2024-05-20 13:13:40,717] - INFO: Epoch 3923/9999, Iter 196120: Loss = 0.011366194114089012, lr = [0.0001] +[2024-05-20 13:14:07,471] - INFO: Epoch 3923/9999, Iter 196140: Loss = 0.012518178671598434, lr = [0.0001] +[2024-05-20 13:14:36,899] - INFO: Epoch 3924/9999, Iter 196160: Loss = 0.01129055954515934, lr = [0.0001] +[2024-05-20 13:15:04,712] - INFO: Epoch 3924/9999, Iter 196180: Loss = 0.01960141211748123, lr = [0.0001] +[2024-05-20 13:15:33,946] - INFO: Epoch 3925/9999, Iter 196200: Loss = 0.00965406745672226, lr = [0.0001] +[2024-05-20 13:16:01,545] - INFO: Epoch 3925/9999, Iter 196220: Loss = 0.010352028533816338, lr = [0.0001] +[2024-05-20 13:16:28,513] - INFO: Epoch 3925/9999, Iter 196240: Loss = 0.013942155987024307, lr = [0.0001] +[2024-05-20 13:16:40,988] - INFO: Evaluate at epoch 3925! +[2024-05-20 13:16:45,059] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 13:16:45,059] - INFO: Eval PSNR (current): 37.918 (3925) SSIM (current): 0.9605 (3925) +[2024-05-20 13:16:45,060] - INFO: Evaluation over. +[2024-05-20 13:17:04,267] - INFO: Epoch 3926/9999, Iter 196260: Loss = 0.013724825344979763, lr = [0.0001] +[2024-05-20 13:17:31,427] - INFO: Epoch 3926/9999, Iter 196280: Loss = 0.009064714424312115, lr = [0.0001] +[2024-05-20 13:18:00,530] - INFO: Epoch 3927/9999, Iter 196300: Loss = 0.012160168960690498, lr = [0.0001] +[2024-05-20 13:18:28,535] - INFO: Epoch 3927/9999, Iter 196320: Loss = 0.01632155105471611, lr = [0.0001] +[2024-05-20 13:18:56,163] - INFO: Epoch 3927/9999, Iter 196340: Loss = 0.012561993673443794, lr = [0.0001] +[2024-05-20 13:19:25,401] - INFO: Epoch 3928/9999, Iter 196360: Loss = 0.013549764640629292, lr = [0.0001] +[2024-05-20 13:19:52,887] - INFO: Epoch 3928/9999, Iter 196380: Loss = 0.013339142315089703, lr = [0.0001] +[2024-05-20 13:20:22,235] - INFO: Epoch 3929/9999, Iter 196400: Loss = 0.016565514728426933, lr = [0.0001] +[2024-05-20 13:20:50,335] - INFO: Epoch 3929/9999, Iter 196420: Loss = 0.014573253691196442, lr = [0.0001] +[2024-05-20 13:21:18,227] - INFO: Epoch 3929/9999, Iter 196440: Loss = 0.012404302135109901, lr = [0.0001] +[2024-05-20 13:21:47,763] - INFO: Epoch 3930/9999, Iter 196460: Loss = 0.0179352555423975, lr = [0.0001] +[2024-05-20 13:22:15,331] - INFO: Epoch 3930/9999, Iter 196480: Loss = 0.015207613818347454, lr = [0.0001] +[2024-05-20 13:22:41,638] - INFO: Evaluate at epoch 3930! +[2024-05-20 13:22:45,704] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 13:22:45,705] - INFO: Eval PSNR (current): 37.908 (3930) SSIM (current): 0.9604 (3930) +[2024-05-20 13:22:45,705] - INFO: Evaluation over. +[2024-05-20 13:22:50,163] - INFO: Epoch 3931/9999, Iter 196500: Loss = 0.013399004936218262, lr = [0.0001] +[2024-05-20 13:23:18,458] - INFO: Epoch 3931/9999, Iter 196520: Loss = 0.01786804012954235, lr = [0.0001] +[2024-05-20 13:23:46,819] - INFO: Epoch 3931/9999, Iter 196540: Loss = 0.011667022481560707, lr = [0.0001] +[2024-05-20 13:24:15,384] - INFO: Epoch 3932/9999, Iter 196560: Loss = 0.015226561576128006, lr = [0.0001] +[2024-05-20 13:24:43,379] - INFO: Epoch 3932/9999, Iter 196580: Loss = 0.010739519260823727, lr = [0.0001] +[2024-05-20 13:25:12,471] - INFO: Epoch 3933/9999, Iter 196600: Loss = 0.021196290850639343, lr = [0.0001] +[2024-05-20 13:25:41,315] - INFO: Epoch 3933/9999, Iter 196620: Loss = 0.015232954174280167, lr = [0.0001] +[2024-05-20 13:26:09,219] - INFO: Epoch 3933/9999, Iter 196640: Loss = 0.018307145684957504, lr = [0.0001] +[2024-05-20 13:26:37,751] - INFO: Epoch 3934/9999, Iter 196660: Loss = 0.017304573208093643, lr = [0.0001] +[2024-05-20 13:27:05,483] - INFO: Epoch 3934/9999, Iter 196680: Loss = 0.016259649768471718, lr = [0.0001] +[2024-05-20 13:27:34,459] - INFO: Epoch 3935/9999, Iter 196700: Loss = 0.010343445464968681, lr = [0.0001] +[2024-05-20 13:28:02,179] - INFO: Epoch 3935/9999, Iter 196720: Loss = 0.011666267178952694, lr = [0.0001] +[2024-05-20 13:28:30,629] - INFO: Epoch 3935/9999, Iter 196740: Loss = 0.014573805965483189, lr = [0.0001] +[2024-05-20 13:28:42,844] - INFO: Evaluate at epoch 3935! +[2024-05-20 13:28:46,912] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 13:28:46,913] - INFO: Eval PSNR (current): 37.906 (3935) SSIM (current): 0.9606 (3935) +[2024-05-20 13:28:46,913] - INFO: Evaluation over. +[2024-05-20 13:29:04,901] - INFO: Epoch 3936/9999, Iter 196760: Loss = 0.017513951286673546, lr = [0.0001] +[2024-05-20 13:29:32,355] - INFO: Epoch 3936/9999, Iter 196780: Loss = 0.015476983040571213, lr = [0.0001] +[2024-05-20 13:30:00,487] - INFO: Epoch 3937/9999, Iter 196800: Loss = 0.016479400917887688, lr = [0.0001] +[2024-05-20 13:30:27,943] - INFO: Epoch 3937/9999, Iter 196820: Loss = 0.010299752466380596, lr = [0.0001] +[2024-05-20 13:30:56,119] - INFO: Epoch 3937/9999, Iter 196840: Loss = 0.010532118380069733, lr = [0.0001] +[2024-05-20 13:31:25,120] - INFO: Epoch 3938/9999, Iter 196860: Loss = 0.011660236865282059, lr = [0.0001] +[2024-05-20 13:31:52,000] - INFO: Epoch 3938/9999, Iter 196880: Loss = 0.010707099922001362, lr = [0.0001] +[2024-05-20 13:32:21,271] - INFO: Epoch 3939/9999, Iter 196900: Loss = 0.016957296058535576, lr = [0.0001] +[2024-05-20 13:32:49,423] - INFO: Epoch 3939/9999, Iter 196920: Loss = 0.015398132614791393, lr = [0.0001] +[2024-05-20 13:33:17,311] - INFO: Epoch 3939/9999, Iter 196940: Loss = 0.015006807632744312, lr = [0.0001] +[2024-05-20 13:33:46,516] - INFO: Epoch 3940/9999, Iter 196960: Loss = 0.011790644377470016, lr = [0.0001] +[2024-05-20 13:34:14,291] - INFO: Epoch 3940/9999, Iter 196980: Loss = 0.014910240657627583, lr = [0.0001] +[2024-05-20 13:34:40,331] - INFO: Evaluate at epoch 3940! +[2024-05-20 13:34:44,401] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 13:34:44,401] - INFO: Eval PSNR (current): 37.815 (3940) SSIM (current): 0.9604 (3940) +[2024-05-20 13:34:44,401] - INFO: Evaluation over. +[2024-05-20 13:34:49,059] - INFO: Epoch 3941/9999, Iter 197000: Loss = 0.013547093607485294, lr = [0.0001] +[2024-05-20 13:35:17,349] - INFO: Epoch 3941/9999, Iter 197020: Loss = 0.019168902188539505, lr = [0.0001] +[2024-05-20 13:35:44,147] - INFO: Epoch 3941/9999, Iter 197040: Loss = 0.008112628944218159, lr = [0.0001] +[2024-05-20 13:36:14,115] - INFO: Epoch 3942/9999, Iter 197060: Loss = 0.013800406828522682, lr = [0.0001] +[2024-05-20 13:36:40,727] - INFO: Epoch 3942/9999, Iter 197080: Loss = 0.008447626605629921, lr = [0.0001] +[2024-05-20 13:37:10,259] - INFO: Epoch 3943/9999, Iter 197100: Loss = 0.013269652612507343, lr = [0.0001] +[2024-05-20 13:37:38,323] - INFO: Epoch 3943/9999, Iter 197120: Loss = 0.012425725348293781, lr = [0.0001] +[2024-05-20 13:38:06,487] - INFO: Epoch 3943/9999, Iter 197140: Loss = 0.013644013553857803, lr = [0.0001] +[2024-05-20 13:38:34,911] - INFO: Epoch 3944/9999, Iter 197160: Loss = 0.01092478446662426, lr = [0.0001] +[2024-05-20 13:39:03,113] - INFO: Epoch 3944/9999, Iter 197180: Loss = 0.012763012200593948, lr = [0.0001] +[2024-05-20 13:39:32,073] - INFO: Epoch 3945/9999, Iter 197200: Loss = 0.014509811997413635, lr = [0.0001] +[2024-05-20 13:39:59,275] - INFO: Epoch 3945/9999, Iter 197220: Loss = 0.014313417486846447, lr = [0.0001] +[2024-05-20 13:40:27,375] - INFO: Epoch 3945/9999, Iter 197240: Loss = 0.010845479555428028, lr = [0.0001] +[2024-05-20 13:40:39,689] - INFO: Evaluate at epoch 3945! +[2024-05-20 13:40:43,762] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 13:40:43,762] - INFO: Eval PSNR (current): 37.882 (3945) SSIM (current): 0.9603 (3945) +[2024-05-20 13:40:43,762] - INFO: Evaluation over. +[2024-05-20 13:41:02,137] - INFO: Epoch 3946/9999, Iter 197260: Loss = 0.01298855897039175, lr = [0.0001] +[2024-05-20 13:41:29,556] - INFO: Epoch 3946/9999, Iter 197280: Loss = 0.016053367406129837, lr = [0.0001] +[2024-05-20 13:41:58,306] - INFO: Epoch 3947/9999, Iter 197300: Loss = 0.01505106221884489, lr = [0.0001] +[2024-05-20 13:42:26,773] - INFO: Epoch 3947/9999, Iter 197320: Loss = 0.012224520556628704, lr = [0.0001] +[2024-05-20 13:42:53,975] - INFO: Epoch 3947/9999, Iter 197340: Loss = 0.009025980718433857, lr = [0.0001] +[2024-05-20 13:43:22,819] - INFO: Epoch 3948/9999, Iter 197360: Loss = 0.016098374500870705, lr = [0.0001] +[2024-05-20 13:43:51,176] - INFO: Epoch 3948/9999, Iter 197380: Loss = 0.013133300468325615, lr = [0.0001] +[2024-05-20 13:44:20,131] - INFO: Epoch 3949/9999, Iter 197400: Loss = 0.01223236508667469, lr = [0.0001] +[2024-05-20 13:44:48,513] - INFO: Epoch 3949/9999, Iter 197420: Loss = 0.015622144564986229, lr = [0.0001] +[2024-05-20 13:45:15,828] - INFO: Epoch 3949/9999, Iter 197440: Loss = 0.015301364473998547, lr = [0.0001] +[2024-05-20 13:45:44,766] - INFO: Epoch 3950/9999, Iter 197460: Loss = 0.014476449228823185, lr = [0.0001] +[2024-05-20 13:46:12,382] - INFO: Epoch 3950/9999, Iter 197480: Loss = 0.012870263308286667, lr = [0.0001] +[2024-05-20 13:46:38,143] - INFO: Evaluate at epoch 3950! +[2024-05-20 13:46:42,213] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 13:46:42,213] - INFO: Eval PSNR (current): 37.879 (3950) SSIM (current): 0.9605 (3950) +[2024-05-20 13:46:42,213] - INFO: Evaluation over. +[2024-05-20 13:46:46,919] - INFO: Epoch 3951/9999, Iter 197500: Loss = 0.018697848543524742, lr = [0.0001] +[2024-05-20 13:47:14,295] - INFO: Epoch 3951/9999, Iter 197520: Loss = 0.01869436353445053, lr = [0.0001] +[2024-05-20 13:47:41,727] - INFO: Epoch 3951/9999, Iter 197540: Loss = 0.009199192747473717, lr = [0.0001] +[2024-05-20 13:48:11,102] - INFO: Epoch 3952/9999, Iter 197560: Loss = 0.012617603875696659, lr = [0.0001] +[2024-05-20 13:48:39,659] - INFO: Epoch 3952/9999, Iter 197580: Loss = 0.018048038706183434, lr = [0.0001] +[2024-05-20 13:49:09,023] - INFO: Epoch 3953/9999, Iter 197600: Loss = 0.011876052245497704, lr = [0.0001] +[2024-05-20 13:49:35,980] - INFO: Epoch 3953/9999, Iter 197620: Loss = 0.013055384159088135, lr = [0.0001] +[2024-05-20 13:50:04,479] - INFO: Epoch 3953/9999, Iter 197640: Loss = 0.014567223377525806, lr = [0.0001] +[2024-05-20 13:50:33,245] - INFO: Epoch 3954/9999, Iter 197660: Loss = 0.019396135583519936, lr = [0.0001] +[2024-05-20 13:51:01,562] - INFO: Epoch 3954/9999, Iter 197680: Loss = 0.012526911683380604, lr = [0.0001] +[2024-05-20 13:51:30,435] - INFO: Epoch 3955/9999, Iter 197700: Loss = 0.01175687275826931, lr = [0.0001] +[2024-05-20 13:51:58,871] - INFO: Epoch 3955/9999, Iter 197720: Loss = 0.013136027380824089, lr = [0.0001] +[2024-05-20 13:52:26,363] - INFO: Epoch 3955/9999, Iter 197740: Loss = 0.008806182071566582, lr = [0.0001] +[2024-05-20 13:52:38,635] - INFO: Evaluate at epoch 3955! +[2024-05-20 13:52:42,705] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 13:52:42,705] - INFO: Eval PSNR (current): 37.930 (3955) SSIM (current): 0.9605 (3955) +[2024-05-20 13:52:42,705] - INFO: Evaluation over. +[2024-05-20 13:53:01,132] - INFO: Epoch 3956/9999, Iter 197760: Loss = 0.013550566509366035, lr = [0.0001] +[2024-05-20 13:53:29,384] - INFO: Epoch 3956/9999, Iter 197780: Loss = 0.007643795572221279, lr = [0.0001] +[2024-05-20 13:53:58,147] - INFO: Epoch 3957/9999, Iter 197800: Loss = 0.009404503740370274, lr = [0.0001] +[2024-05-20 13:54:26,283] - INFO: Epoch 3957/9999, Iter 197820: Loss = 0.015157018788158894, lr = [0.0001] +[2024-05-20 13:54:54,751] - INFO: Epoch 3957/9999, Iter 197840: Loss = 0.01691623032093048, lr = [0.0001] +[2024-05-20 13:55:22,395] - INFO: Epoch 3958/9999, Iter 197860: Loss = 0.01201906893402338, lr = [0.0001] +[2024-05-20 13:55:49,908] - INFO: Epoch 3958/9999, Iter 197880: Loss = 0.0109525416046381, lr = [0.0001] +[2024-05-20 13:56:19,599] - INFO: Epoch 3959/9999, Iter 197900: Loss = 0.012602097354829311, lr = [0.0001] +[2024-05-20 13:56:46,307] - INFO: Epoch 3959/9999, Iter 197920: Loss = 0.012977869249880314, lr = [0.0001] +[2024-05-20 13:57:13,715] - INFO: Epoch 3959/9999, Iter 197940: Loss = 0.011375528760254383, lr = [0.0001] +[2024-05-20 13:57:42,547] - INFO: Epoch 3960/9999, Iter 197960: Loss = 0.012296569533646107, lr = [0.0001] +[2024-05-20 13:58:10,391] - INFO: Epoch 3960/9999, Iter 197980: Loss = 0.010184533894062042, lr = [0.0001] +[2024-05-20 13:58:36,491] - INFO: Evaluate at epoch 3960! +[2024-05-20 13:58:40,557] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 13:58:40,558] - INFO: Eval PSNR (current): 37.839 (3960) SSIM (current): 0.9602 (3960) +[2024-05-20 13:58:40,558] - INFO: Evaluation over. +[2024-05-20 13:58:45,237] - INFO: Epoch 3961/9999, Iter 198000: Loss = 0.010176574811339378, lr = [0.0001] +[2024-05-20 13:59:12,971] - INFO: Epoch 3961/9999, Iter 198020: Loss = 0.013028972782194614, lr = [0.0001] +[2024-05-20 13:59:40,498] - INFO: Epoch 3961/9999, Iter 198040: Loss = 0.015175254084169865, lr = [0.0001] +[2024-05-20 14:00:10,556] - INFO: Epoch 3962/9999, Iter 198060: Loss = 0.019104793667793274, lr = [0.0001] +[2024-05-20 14:00:39,198] - INFO: Epoch 3962/9999, Iter 198080: Loss = 0.01360400766134262, lr = [0.0001] +[2024-05-20 14:01:07,751] - INFO: Epoch 3963/9999, Iter 198100: Loss = 0.015083016827702522, lr = [0.0001] +[2024-05-20 14:01:35,791] - INFO: Epoch 3963/9999, Iter 198120: Loss = 0.012109745293855667, lr = [0.0001] +[2024-05-20 14:02:01,970] - INFO: Epoch 3963/9999, Iter 198140: Loss = 0.011774412356317043, lr = [0.0001] +[2024-05-20 14:02:31,575] - INFO: Epoch 3964/9999, Iter 198160: Loss = 0.015443539246916771, lr = [0.0001] +[2024-05-20 14:02:59,163] - INFO: Epoch 3964/9999, Iter 198180: Loss = 0.011226794682443142, lr = [0.0001] +[2024-05-20 14:03:28,059] - INFO: Epoch 3965/9999, Iter 198200: Loss = 0.01572584919631481, lr = [0.0001] +[2024-05-20 14:03:56,835] - INFO: Epoch 3965/9999, Iter 198220: Loss = 0.012378388084471226, lr = [0.0001] +[2024-05-20 14:04:23,715] - INFO: Epoch 3965/9999, Iter 198240: Loss = 0.009750179015100002, lr = [0.0001] +[2024-05-20 14:04:36,138] - INFO: Evaluate at epoch 3965! +[2024-05-20 14:04:40,211] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 14:04:40,211] - INFO: Eval PSNR (current): 37.910 (3965) SSIM (current): 0.9604 (3965) +[2024-05-20 14:04:40,211] - INFO: Evaluation over. +[2024-05-20 14:04:58,599] - INFO: Epoch 3966/9999, Iter 198260: Loss = 0.01102235447615385, lr = [0.0001] +[2024-05-20 14:05:27,611] - INFO: Epoch 3966/9999, Iter 198280: Loss = 0.00697993254289031, lr = [0.0001] +[2024-05-20 14:05:56,507] - INFO: Epoch 3967/9999, Iter 198300: Loss = 0.019381729885935783, lr = [0.0001] +[2024-05-20 14:06:23,895] - INFO: Epoch 3967/9999, Iter 198320: Loss = 0.012764625251293182, lr = [0.0001] +[2024-05-20 14:06:50,243] - INFO: Epoch 3967/9999, Iter 198340: Loss = 0.011318786069750786, lr = [0.0001] +[2024-05-20 14:07:19,629] - INFO: Epoch 3968/9999, Iter 198360: Loss = 0.014496820978820324, lr = [0.0001] +[2024-05-20 14:07:47,214] - INFO: Epoch 3968/9999, Iter 198380: Loss = 0.01533052884042263, lr = [0.0001] +[2024-05-20 14:08:15,634] - INFO: Epoch 3969/9999, Iter 198400: Loss = 0.013480628840625286, lr = [0.0001] +[2024-05-20 14:08:43,658] - INFO: Epoch 3969/9999, Iter 198420: Loss = 0.01266496255993843, lr = [0.0001] +[2024-05-20 14:09:11,879] - INFO: Epoch 3969/9999, Iter 198440: Loss = 0.012081718072295189, lr = [0.0001] +[2024-05-20 14:09:39,907] - INFO: Epoch 3970/9999, Iter 198460: Loss = 0.02068011835217476, lr = [0.0001] +[2024-05-20 14:10:07,171] - INFO: Epoch 3970/9999, Iter 198480: Loss = 0.018931295722723007, lr = [0.0001] +[2024-05-20 14:10:32,648] - INFO: Evaluate at epoch 3970! +[2024-05-20 14:10:36,725] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 14:10:36,725] - INFO: Eval PSNR (current): 37.845 (3970) SSIM (current): 0.9605 (3970) +[2024-05-20 14:10:36,725] - INFO: Evaluation over. +[2024-05-20 14:10:41,365] - INFO: Epoch 3971/9999, Iter 198500: Loss = 0.011243293061852455, lr = [0.0001] +[2024-05-20 14:11:08,195] - INFO: Epoch 3971/9999, Iter 198520: Loss = 0.01888147182762623, lr = [0.0001] +[2024-05-20 14:11:35,356] - INFO: Epoch 3971/9999, Iter 198540: Loss = 0.008857477456331253, lr = [0.0001] +[2024-05-20 14:12:04,885] - INFO: Epoch 3972/9999, Iter 198560: Loss = 0.01571289449930191, lr = [0.0001] +[2024-05-20 14:12:33,039] - INFO: Epoch 3972/9999, Iter 198580: Loss = 0.014583627693355083, lr = [0.0001] +[2024-05-20 14:13:01,951] - INFO: Epoch 3973/9999, Iter 198600: Loss = 0.011478139087557793, lr = [0.0001] +[2024-05-20 14:13:28,851] - INFO: Epoch 3973/9999, Iter 198620: Loss = 0.012544051744043827, lr = [0.0001] +[2024-05-20 14:13:56,931] - INFO: Epoch 3973/9999, Iter 198640: Loss = 0.008679011836647987, lr = [0.0001] +[2024-05-20 14:14:25,859] - INFO: Epoch 3974/9999, Iter 198660: Loss = 0.012662684544920921, lr = [0.0001] +[2024-05-20 14:14:54,190] - INFO: Epoch 3974/9999, Iter 198680: Loss = 0.011870063841342926, lr = [0.0001] +[2024-05-20 14:15:22,374] - INFO: Epoch 3975/9999, Iter 198700: Loss = 0.01348925568163395, lr = [0.0001] +[2024-05-20 14:15:50,739] - INFO: Epoch 3975/9999, Iter 198720: Loss = 0.010905488394200802, lr = [0.0001] +[2024-05-20 14:16:18,757] - INFO: Epoch 3975/9999, Iter 198740: Loss = 0.012077813036739826, lr = [0.0001] +[2024-05-20 14:16:30,880] - INFO: Evaluate at epoch 3975! +[2024-05-20 14:16:34,958] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 14:16:34,958] - INFO: Eval PSNR (current): 37.839 (3975) SSIM (current): 0.9602 (3975) +[2024-05-20 14:16:34,958] - INFO: Evaluation over. +[2024-05-20 14:16:53,211] - INFO: Epoch 3976/9999, Iter 198760: Loss = 0.01004385482519865, lr = [0.0001] +[2024-05-20 14:17:19,815] - INFO: Epoch 3976/9999, Iter 198780: Loss = 0.012712030671536922, lr = [0.0001] +[2024-05-20 14:17:48,739] - INFO: Epoch 3977/9999, Iter 198800: Loss = 0.011693940497934818, lr = [0.0001] +[2024-05-20 14:18:15,083] - INFO: Epoch 3977/9999, Iter 198820: Loss = 0.01918717287480831, lr = [0.0001] +[2024-05-20 14:18:42,427] - INFO: Epoch 3977/9999, Iter 198840: Loss = 0.010330348275601864, lr = [0.0001] +[2024-05-20 14:19:12,580] - INFO: Epoch 3978/9999, Iter 198860: Loss = 0.022036336362361908, lr = [0.0001] +[2024-05-20 14:19:40,726] - INFO: Epoch 3978/9999, Iter 198880: Loss = 0.005304591730237007, lr = [0.0001] +[2024-05-20 14:20:09,691] - INFO: Epoch 3979/9999, Iter 198900: Loss = 0.013643227517604828, lr = [0.0001] +[2024-05-20 14:20:37,191] - INFO: Epoch 3979/9999, Iter 198920: Loss = 0.011192487552762032, lr = [0.0001] +[2024-05-20 14:21:04,284] - INFO: Epoch 3979/9999, Iter 198940: Loss = 0.012224930338561535, lr = [0.0001] +[2024-05-20 14:21:33,037] - INFO: Epoch 3980/9999, Iter 198960: Loss = 0.014078395441174507, lr = [0.0001] +[2024-05-20 14:22:01,586] - INFO: Epoch 3980/9999, Iter 198980: Loss = 0.007651160936802626, lr = [0.0001] +[2024-05-20 14:22:27,566] - INFO: Evaluate at epoch 3980! +[2024-05-20 14:22:31,633] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 14:22:31,633] - INFO: Eval PSNR (current): 37.900 (3980) SSIM (current): 0.9605 (3980) +[2024-05-20 14:22:31,633] - INFO: Evaluation over. +[2024-05-20 14:22:36,270] - INFO: Epoch 3981/9999, Iter 199000: Loss = 0.013886380940675735, lr = [0.0001] +[2024-05-20 14:23:03,351] - INFO: Epoch 3981/9999, Iter 199020: Loss = 0.011023223400115967, lr = [0.0001] +[2024-05-20 14:23:30,490] - INFO: Epoch 3981/9999, Iter 199040: Loss = 0.010582624934613705, lr = [0.0001] +[2024-05-20 14:23:59,827] - INFO: Epoch 3982/9999, Iter 199060: Loss = 0.011130021885037422, lr = [0.0001] +[2024-05-20 14:24:27,460] - INFO: Epoch 3982/9999, Iter 199080: Loss = 0.019712064415216446, lr = [0.0001] +[2024-05-20 14:24:56,535] - INFO: Epoch 3983/9999, Iter 199100: Loss = 0.012575006112456322, lr = [0.0001] +[2024-05-20 14:25:25,022] - INFO: Epoch 3983/9999, Iter 199120: Loss = 0.01713346503674984, lr = [0.0001] +[2024-05-20 14:25:52,012] - INFO: Epoch 3983/9999, Iter 199140: Loss = 0.013675100170075893, lr = [0.0001] +[2024-05-20 14:26:21,130] - INFO: Epoch 3984/9999, Iter 199160: Loss = 0.011551933363080025, lr = [0.0001] +[2024-05-20 14:26:47,687] - INFO: Epoch 3984/9999, Iter 199180: Loss = 0.017453214153647423, lr = [0.0001] +[2024-05-20 14:27:17,598] - INFO: Epoch 3985/9999, Iter 199200: Loss = 0.013733363710343838, lr = [0.0001] +[2024-05-20 14:27:45,495] - INFO: Epoch 3985/9999, Iter 199220: Loss = 0.01457356009632349, lr = [0.0001] +[2024-05-20 14:28:13,215] - INFO: Epoch 3985/9999, Iter 199240: Loss = 0.014197288081049919, lr = [0.0001] +[2024-05-20 14:28:26,125] - INFO: Evaluate at epoch 3985! +[2024-05-20 14:28:30,205] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 14:28:30,205] - INFO: Eval PSNR (current): 37.840 (3985) SSIM (current): 0.9602 (3985) +[2024-05-20 14:28:30,205] - INFO: Evaluation over. +[2024-05-20 14:28:49,063] - INFO: Epoch 3986/9999, Iter 199260: Loss = 0.010139619931578636, lr = [0.0001] +[2024-05-20 14:29:16,675] - INFO: Epoch 3986/9999, Iter 199280: Loss = 0.011634120717644691, lr = [0.0001] +[2024-05-20 14:29:45,659] - INFO: Epoch 3987/9999, Iter 199300: Loss = 0.010465900413691998, lr = [0.0001] +[2024-05-20 14:30:13,357] - INFO: Epoch 3987/9999, Iter 199320: Loss = 0.004668275360018015, lr = [0.0001] +[2024-05-20 14:30:41,601] - INFO: Epoch 3987/9999, Iter 199340: Loss = 0.018186787143349648, lr = [0.0001] +[2024-05-20 14:31:11,023] - INFO: Epoch 3988/9999, Iter 199360: Loss = 0.013556045480072498, lr = [0.0001] +[2024-05-20 14:31:38,575] - INFO: Epoch 3988/9999, Iter 199380: Loss = 0.006783959921449423, lr = [0.0001] +[2024-05-20 14:32:08,087] - INFO: Epoch 3989/9999, Iter 199400: Loss = 0.013996705412864685, lr = [0.0001] +[2024-05-20 14:32:35,565] - INFO: Epoch 3989/9999, Iter 199420: Loss = 0.012526438571512699, lr = [0.0001] +[2024-05-20 14:33:03,874] - INFO: Epoch 3989/9999, Iter 199440: Loss = 0.014890019781887531, lr = [0.0001] +[2024-05-20 14:33:32,935] - INFO: Epoch 3990/9999, Iter 199460: Loss = 0.01032872125506401, lr = [0.0001] +[2024-05-20 14:34:00,067] - INFO: Epoch 3990/9999, Iter 199480: Loss = 0.015194821171462536, lr = [0.0001] +[2024-05-20 14:34:25,898] - INFO: Evaluate at epoch 3990! +[2024-05-20 14:34:30,014] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 14:34:30,015] - INFO: Eval PSNR (current): 37.792 (3990) SSIM (current): 0.9602 (3990) +[2024-05-20 14:34:30,015] - INFO: Evaluation over. +[2024-05-20 14:34:34,336] - INFO: Epoch 3991/9999, Iter 199500: Loss = 0.02889185957610607, lr = [0.0001] +[2024-05-20 14:35:02,651] - INFO: Epoch 3991/9999, Iter 199520: Loss = 0.01791462115943432, lr = [0.0001] +[2024-05-20 14:35:30,355] - INFO: Epoch 3991/9999, Iter 199540: Loss = 0.010521648451685905, lr = [0.0001] +[2024-05-20 14:35:59,525] - INFO: Epoch 3992/9999, Iter 199560: Loss = 0.012059815227985382, lr = [0.0001] +[2024-05-20 14:36:27,332] - INFO: Epoch 3992/9999, Iter 199580: Loss = 0.007434864528477192, lr = [0.0001] +[2024-05-20 14:36:56,315] - INFO: Epoch 3993/9999, Iter 199600: Loss = 0.01676194742321968, lr = [0.0001] +[2024-05-20 14:37:23,739] - INFO: Epoch 3993/9999, Iter 199620: Loss = 0.011164573021233082, lr = [0.0001] +[2024-05-20 14:37:51,707] - INFO: Epoch 3993/9999, Iter 199640: Loss = 0.012368475086987019, lr = [0.0001] +[2024-05-20 14:38:20,403] - INFO: Epoch 3994/9999, Iter 199660: Loss = 0.016931435093283653, lr = [0.0001] +[2024-05-20 14:38:48,834] - INFO: Epoch 3994/9999, Iter 199680: Loss = 0.00888457428663969, lr = [0.0001] +[2024-05-20 14:39:17,698] - INFO: Epoch 3995/9999, Iter 199700: Loss = 0.012277749367058277, lr = [0.0001] +[2024-05-20 14:39:45,114] - INFO: Epoch 3995/9999, Iter 199720: Loss = 0.01554250530898571, lr = [0.0001] +[2024-05-20 14:40:13,043] - INFO: Epoch 3995/9999, Iter 199740: Loss = 0.015683786943554878, lr = [0.0001] +[2024-05-20 14:40:24,985] - INFO: Evaluate at epoch 3995! +[2024-05-20 14:40:29,050] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 14:40:29,051] - INFO: Eval PSNR (current): 37.842 (3995) SSIM (current): 0.9604 (3995) +[2024-05-20 14:40:29,051] - INFO: Evaluation over. +[2024-05-20 14:40:48,431] - INFO: Epoch 3996/9999, Iter 199760: Loss = 0.0076033505611121655, lr = [0.0001] +[2024-05-20 14:41:16,259] - INFO: Epoch 3996/9999, Iter 199780: Loss = 0.012783229351043701, lr = [0.0001] +[2024-05-20 14:41:44,927] - INFO: Epoch 3997/9999, Iter 199800: Loss = 0.01439692359417677, lr = [0.0001] +[2024-05-20 14:42:12,819] - INFO: Epoch 3997/9999, Iter 199820: Loss = 0.010544016025960445, lr = [0.0001] +[2024-05-20 14:42:39,171] - INFO: Epoch 3997/9999, Iter 199840: Loss = 0.012970227748155594, lr = [0.0001] +[2024-05-20 14:43:08,493] - INFO: Epoch 3998/9999, Iter 199860: Loss = 0.014809487387537956, lr = [0.0001] +[2024-05-20 14:43:36,771] - INFO: Epoch 3998/9999, Iter 199880: Loss = 0.008839269168674946, lr = [0.0001] +[2024-05-20 14:44:05,870] - INFO: Epoch 3999/9999, Iter 199900: Loss = 0.013164755888283253, lr = [0.0001] +[2024-05-20 14:44:33,743] - INFO: Epoch 3999/9999, Iter 199920: Loss = 0.013655195944011211, lr = [0.0001] +[2024-05-20 14:45:01,691] - INFO: Epoch 3999/9999, Iter 199940: Loss = 0.015098107978701591, lr = [0.0001] +[2024-05-20 14:45:31,021] - INFO: Epoch 4000/9999, Iter 199960: Loss = 0.011483007110655308, lr = [5e-05] +[2024-05-20 14:45:58,968] - INFO: Epoch 4000/9999, Iter 199980: Loss = 0.020098362118005753, lr = [5e-05] +[2024-05-20 14:46:25,063] - INFO: Evaluate at epoch 4000! +[2024-05-20 14:46:29,138] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 14:46:29,138] - INFO: Eval PSNR (current): 37.924 (4000) SSIM (current): 0.9606 (4000) +[2024-05-20 14:46:29,139] - INFO: Evaluation over. +[2024-05-20 14:46:33,733] - INFO: Epoch 4001/9999, Iter 200000: Loss = 0.01472949143499136, lr = [5e-05] +[2024-05-20 14:47:01,897] - INFO: Epoch 4001/9999, Iter 200020: Loss = 0.014987155795097351, lr = [5e-05] +[2024-05-20 14:47:29,678] - INFO: Epoch 4001/9999, Iter 200040: Loss = 0.011169908568263054, lr = [5e-05] +[2024-05-20 14:47:58,683] - INFO: Epoch 4002/9999, Iter 200060: Loss = 0.01464605052024126, lr = [5e-05] +[2024-05-20 14:48:27,068] - INFO: Epoch 4002/9999, Iter 200080: Loss = 0.009335548616945744, lr = [5e-05] +[2024-05-20 14:48:55,775] - INFO: Epoch 4003/9999, Iter 200100: Loss = 0.01088507566601038, lr = [5e-05] +[2024-05-20 14:49:23,559] - INFO: Epoch 4003/9999, Iter 200120: Loss = 0.011463718488812447, lr = [5e-05] +[2024-05-20 14:49:50,034] - INFO: Epoch 4003/9999, Iter 200140: Loss = 0.011443603783845901, lr = [5e-05] +[2024-05-20 14:50:19,216] - INFO: Epoch 4004/9999, Iter 200160: Loss = 0.009601511061191559, lr = [5e-05] +[2024-05-20 14:50:48,035] - INFO: Epoch 4004/9999, Iter 200180: Loss = 0.012848073616623878, lr = [5e-05] +[2024-05-20 14:51:16,267] - INFO: Epoch 4005/9999, Iter 200200: Loss = 0.01520156767219305, lr = [5e-05] +[2024-05-20 14:51:44,304] - INFO: Epoch 4005/9999, Iter 200220: Loss = 0.013661996461451054, lr = [5e-05] +[2024-05-20 14:52:12,155] - INFO: Epoch 4005/9999, Iter 200240: Loss = 0.01148238591849804, lr = [5e-05] +[2024-05-20 14:52:24,040] - INFO: Evaluate at epoch 4005! +[2024-05-20 14:52:28,117] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 14:52:28,117] - INFO: Eval PSNR (current): 37.951 (4005) SSIM (current): 0.9606 (4005) +[2024-05-20 14:52:28,117] - INFO: Evaluation over. +[2024-05-20 14:52:46,483] - INFO: Epoch 4006/9999, Iter 200260: Loss = 0.009010865353047848, lr = [5e-05] +[2024-05-20 14:53:14,769] - INFO: Epoch 4006/9999, Iter 200280: Loss = 0.013132350519299507, lr = [5e-05] +[2024-05-20 14:53:42,915] - INFO: Epoch 4007/9999, Iter 200300: Loss = 0.008766444399952888, lr = [5e-05] +[2024-05-20 14:54:10,643] - INFO: Epoch 4007/9999, Iter 200320: Loss = 0.012276655994355679, lr = [5e-05] +[2024-05-20 14:54:38,863] - INFO: Epoch 4007/9999, Iter 200340: Loss = 0.013669464737176895, lr = [5e-05] +[2024-05-20 14:55:07,571] - INFO: Epoch 4008/9999, Iter 200360: Loss = 0.015101620927453041, lr = [5e-05] +[2024-05-20 14:55:35,683] - INFO: Epoch 4008/9999, Iter 200380: Loss = 0.010768414475023746, lr = [5e-05] +[2024-05-20 14:56:04,935] - INFO: Epoch 4009/9999, Iter 200400: Loss = 0.015927273780107498, lr = [5e-05] +[2024-05-20 14:56:33,019] - INFO: Epoch 4009/9999, Iter 200420: Loss = 0.013202791102230549, lr = [5e-05] +[2024-05-20 14:56:59,613] - INFO: Epoch 4009/9999, Iter 200440: Loss = 0.01697913557291031, lr = [5e-05] +[2024-05-20 14:57:28,287] - INFO: Epoch 4010/9999, Iter 200460: Loss = 0.01576487347483635, lr = [5e-05] +[2024-05-20 14:57:56,469] - INFO: Epoch 4010/9999, Iter 200480: Loss = 0.013486163690686226, lr = [5e-05] +[2024-05-20 14:58:22,498] - INFO: Evaluate at epoch 4010! +[2024-05-20 14:58:26,575] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 14:58:26,575] - INFO: Eval PSNR (current): 37.975 (4010) SSIM (current): 0.9607 (4010) +[2024-05-20 14:58:26,575] - INFO: Evaluation over. +[2024-05-20 14:58:30,807] - INFO: Epoch 4011/9999, Iter 200500: Loss = 0.01519220881164074, lr = [5e-05] +[2024-05-20 14:58:58,519] - INFO: Epoch 4011/9999, Iter 200520: Loss = 0.014400285668671131, lr = [5e-05] +[2024-05-20 14:59:25,598] - INFO: Epoch 4011/9999, Iter 200540: Loss = 0.016152000054717064, lr = [5e-05] +[2024-05-20 14:59:54,792] - INFO: Epoch 4012/9999, Iter 200560: Loss = 0.01142831239849329, lr = [5e-05] +[2024-05-20 15:00:22,277] - INFO: Epoch 4012/9999, Iter 200580: Loss = 0.017294766381382942, lr = [5e-05] +[2024-05-20 15:00:51,570] - INFO: Epoch 4013/9999, Iter 200600: Loss = 0.015248886309564114, lr = [5e-05] +[2024-05-20 15:01:19,496] - INFO: Epoch 4013/9999, Iter 200620: Loss = 0.014739320613443851, lr = [5e-05] +[2024-05-20 15:01:48,231] - INFO: Epoch 4013/9999, Iter 200640: Loss = 0.011589032597839832, lr = [5e-05] +[2024-05-20 15:02:16,751] - INFO: Epoch 4014/9999, Iter 200660: Loss = 0.011879987083375454, lr = [5e-05] +[2024-05-20 15:02:45,123] - INFO: Epoch 4014/9999, Iter 200680: Loss = 0.014975437894463539, lr = [5e-05] +[2024-05-20 15:03:14,607] - INFO: Epoch 4015/9999, Iter 200700: Loss = 0.008728254586458206, lr = [5e-05] +[2024-05-20 15:03:42,709] - INFO: Epoch 4015/9999, Iter 200720: Loss = 0.012120198458433151, lr = [5e-05] +[2024-05-20 15:04:11,095] - INFO: Epoch 4015/9999, Iter 200740: Loss = 0.012987732887268066, lr = [5e-05] +[2024-05-20 15:04:22,752] - INFO: Evaluate at epoch 4015! +[2024-05-20 15:04:26,822] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 15:04:26,822] - INFO: Eval PSNR (current): 37.963 (4015) SSIM (current): 0.9607 (4015) +[2024-05-20 15:04:26,822] - INFO: Evaluation over. +[2024-05-20 15:04:45,143] - INFO: Epoch 4016/9999, Iter 200760: Loss = 0.012841944582760334, lr = [5e-05] +[2024-05-20 15:05:12,195] - INFO: Epoch 4016/9999, Iter 200780: Loss = 0.013908647932112217, lr = [5e-05] +[2024-05-20 15:05:41,646] - INFO: Epoch 4017/9999, Iter 200800: Loss = 0.01830952800810337, lr = [5e-05] +[2024-05-20 15:06:10,289] - INFO: Epoch 4017/9999, Iter 200820: Loss = 0.012389294803142548, lr = [5e-05] +[2024-05-20 15:06:38,531] - INFO: Epoch 4017/9999, Iter 200840: Loss = 0.013373871333897114, lr = [5e-05] +[2024-05-20 15:07:07,870] - INFO: Epoch 4018/9999, Iter 200860: Loss = 0.013069420121610165, lr = [5e-05] +[2024-05-20 15:07:35,893] - INFO: Epoch 4018/9999, Iter 200880: Loss = 0.012047757394611835, lr = [5e-05] +[2024-05-20 15:08:04,730] - INFO: Epoch 4019/9999, Iter 200900: Loss = 0.009559026919305325, lr = [5e-05] +[2024-05-20 15:08:33,023] - INFO: Epoch 4019/9999, Iter 200920: Loss = 0.014341965317726135, lr = [5e-05] +[2024-05-20 15:09:00,675] - INFO: Epoch 4019/9999, Iter 200940: Loss = 0.01323805470019579, lr = [5e-05] +[2024-05-20 15:09:30,077] - INFO: Epoch 4020/9999, Iter 200960: Loss = 0.014634744264185429, lr = [5e-05] +[2024-05-20 15:09:57,902] - INFO: Epoch 4020/9999, Iter 200980: Loss = 0.010768773034214973, lr = [5e-05] +[2024-05-20 15:10:23,994] - INFO: Evaluate at epoch 4020! +[2024-05-20 15:10:28,075] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 15:10:28,075] - INFO: Eval PSNR (current): 37.937 (4020) SSIM (current): 0.9605 (4020) +[2024-05-20 15:10:28,076] - INFO: Evaluation over. +[2024-05-20 15:10:32,872] - INFO: Epoch 4021/9999, Iter 201000: Loss = 0.01463928259909153, lr = [5e-05] +[2024-05-20 15:11:01,019] - INFO: Epoch 4021/9999, Iter 201020: Loss = 0.009859149344265461, lr = [5e-05] +[2024-05-20 15:11:28,035] - INFO: Epoch 4021/9999, Iter 201040: Loss = 0.016922922804951668, lr = [5e-05] +[2024-05-20 15:11:57,843] - INFO: Epoch 4022/9999, Iter 201060: Loss = 0.01570093259215355, lr = [5e-05] +[2024-05-20 15:12:26,051] - INFO: Epoch 4022/9999, Iter 201080: Loss = 0.01391519419848919, lr = [5e-05] +[2024-05-20 15:12:54,838] - INFO: Epoch 4023/9999, Iter 201100: Loss = 0.01359330490231514, lr = [5e-05] +[2024-05-20 15:13:22,275] - INFO: Epoch 4023/9999, Iter 201120: Loss = 0.011980747804045677, lr = [5e-05] +[2024-05-20 15:13:49,349] - INFO: Epoch 4023/9999, Iter 201140: Loss = 0.009555719792842865, lr = [5e-05] +[2024-05-20 15:14:18,659] - INFO: Epoch 4024/9999, Iter 201160: Loss = 0.017790574580430984, lr = [5e-05] +[2024-05-20 15:14:46,363] - INFO: Epoch 4024/9999, Iter 201180: Loss = 0.013769333250820637, lr = [5e-05] +[2024-05-20 15:15:15,499] - INFO: Epoch 4025/9999, Iter 201200: Loss = 0.011080379597842693, lr = [5e-05] +[2024-05-20 15:15:42,618] - INFO: Epoch 4025/9999, Iter 201220: Loss = 0.016241084784269333, lr = [5e-05] +[2024-05-20 15:16:10,678] - INFO: Epoch 4025/9999, Iter 201240: Loss = 0.014868536964058876, lr = [5e-05] +[2024-05-20 15:16:23,154] - INFO: Evaluate at epoch 4025! +[2024-05-20 15:16:27,231] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 15:16:27,231] - INFO: Eval PSNR (current): 37.907 (4025) SSIM (current): 0.9606 (4025) +[2024-05-20 15:16:27,231] - INFO: Evaluation over. +[2024-05-20 15:16:45,927] - INFO: Epoch 4026/9999, Iter 201260: Loss = 0.011143140494823456, lr = [5e-05] +[2024-05-20 15:17:13,723] - INFO: Epoch 4026/9999, Iter 201280: Loss = 0.008384760469198227, lr = [5e-05] +[2024-05-20 15:17:42,839] - INFO: Epoch 4027/9999, Iter 201300: Loss = 0.011773587204515934, lr = [5e-05] +[2024-05-20 15:18:10,997] - INFO: Epoch 4027/9999, Iter 201320: Loss = 0.014385771006345749, lr = [5e-05] +[2024-05-20 15:18:38,392] - INFO: Epoch 4027/9999, Iter 201340: Loss = 0.010180103592574596, lr = [5e-05] +[2024-05-20 15:19:07,073] - INFO: Epoch 4028/9999, Iter 201360: Loss = 0.008942494168877602, lr = [5e-05] +[2024-05-20 15:19:34,715] - INFO: Epoch 4028/9999, Iter 201380: Loss = 0.013621162623167038, lr = [5e-05] +[2024-05-20 15:20:04,151] - INFO: Epoch 4029/9999, Iter 201400: Loss = 0.009930884465575218, lr = [5e-05] +[2024-05-20 15:20:31,818] - INFO: Epoch 4029/9999, Iter 201420: Loss = 0.007567086722701788, lr = [5e-05] +[2024-05-20 15:20:59,595] - INFO: Epoch 4029/9999, Iter 201440: Loss = 0.014983669854700565, lr = [5e-05] +[2024-05-20 15:21:28,704] - INFO: Epoch 4030/9999, Iter 201460: Loss = 0.008340222761034966, lr = [5e-05] +[2024-05-20 15:21:56,039] - INFO: Epoch 4030/9999, Iter 201480: Loss = 0.010518713854253292, lr = [5e-05] +[2024-05-20 15:22:21,917] - INFO: Evaluate at epoch 4030! +[2024-05-20 15:22:25,987] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 15:22:25,988] - INFO: Eval PSNR (current): 37.930 (4030) SSIM (current): 0.9606 (4030) +[2024-05-20 15:22:25,988] - INFO: Evaluation over. +[2024-05-20 15:22:30,483] - INFO: Epoch 4031/9999, Iter 201500: Loss = 0.014043644070625305, lr = [5e-05] +[2024-05-20 15:22:58,115] - INFO: Epoch 4031/9999, Iter 201520: Loss = 0.010751997120678425, lr = [5e-05] +[2024-05-20 15:23:26,076] - INFO: Epoch 4031/9999, Iter 201540: Loss = 0.015414138324558735, lr = [5e-05] +[2024-05-20 15:23:54,233] - INFO: Epoch 4032/9999, Iter 201560: Loss = 0.014517992734909058, lr = [5e-05] +[2024-05-20 15:24:22,211] - INFO: Epoch 4032/9999, Iter 201580: Loss = 0.009974674321711063, lr = [5e-05] +[2024-05-20 15:24:51,134] - INFO: Epoch 4033/9999, Iter 201600: Loss = 0.014688785187900066, lr = [5e-05] +[2024-05-20 15:25:19,119] - INFO: Epoch 4033/9999, Iter 201620: Loss = 0.010844224132597446, lr = [5e-05] +[2024-05-20 15:25:46,483] - INFO: Epoch 4033/9999, Iter 201640: Loss = 0.009390054270625114, lr = [5e-05] +[2024-05-20 15:26:15,785] - INFO: Epoch 4034/9999, Iter 201660: Loss = 0.011405975557863712, lr = [5e-05] +[2024-05-20 15:26:43,442] - INFO: Epoch 4034/9999, Iter 201680: Loss = 0.01048511266708374, lr = [5e-05] +[2024-05-20 15:27:12,659] - INFO: Epoch 4035/9999, Iter 201700: Loss = 0.011942596174776554, lr = [5e-05] +[2024-05-20 15:27:39,778] - INFO: Epoch 4035/9999, Iter 201720: Loss = 0.011535359546542168, lr = [5e-05] +[2024-05-20 15:28:06,660] - INFO: Epoch 4035/9999, Iter 201740: Loss = 0.009841561317443848, lr = [5e-05] +[2024-05-20 15:28:18,857] - INFO: Evaluate at epoch 4035! +[2024-05-20 15:28:22,935] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 15:28:22,935] - INFO: Eval PSNR (current): 37.959 (4035) SSIM (current): 0.9607 (4035) +[2024-05-20 15:28:22,935] - INFO: Evaluation over. +[2024-05-20 15:28:40,820] - INFO: Epoch 4036/9999, Iter 201760: Loss = 0.012628637254238129, lr = [5e-05] +[2024-05-20 15:29:07,620] - INFO: Epoch 4036/9999, Iter 201780: Loss = 0.01293017715215683, lr = [5e-05] +[2024-05-20 15:29:37,613] - INFO: Epoch 4037/9999, Iter 201800: Loss = 0.011861361563205719, lr = [5e-05] +[2024-05-20 15:30:05,215] - INFO: Epoch 4037/9999, Iter 201820: Loss = 0.01612640731036663, lr = [5e-05] +[2024-05-20 15:30:33,199] - INFO: Epoch 4037/9999, Iter 201840: Loss = 0.011952681466937065, lr = [5e-05] +[2024-05-20 15:31:02,316] - INFO: Epoch 4038/9999, Iter 201860: Loss = 0.017593201249837875, lr = [5e-05] +[2024-05-20 15:31:28,763] - INFO: Epoch 4038/9999, Iter 201880: Loss = 0.01641239784657955, lr = [5e-05] +[2024-05-20 15:31:57,582] - INFO: Epoch 4039/9999, Iter 201900: Loss = 0.012146903201937675, lr = [5e-05] +[2024-05-20 15:32:24,339] - INFO: Epoch 4039/9999, Iter 201920: Loss = 0.0164050180464983, lr = [5e-05] +[2024-05-20 15:32:51,315] - INFO: Epoch 4039/9999, Iter 201940: Loss = 0.017509134486317635, lr = [5e-05] +[2024-05-20 15:33:20,015] - INFO: Epoch 4040/9999, Iter 201960: Loss = 0.008855530992150307, lr = [5e-05] +[2024-05-20 15:33:47,667] - INFO: Epoch 4040/9999, Iter 201980: Loss = 0.01307636871933937, lr = [5e-05] +[2024-05-20 15:34:14,202] - INFO: Evaluate at epoch 4040! +[2024-05-20 15:34:18,272] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 15:34:18,273] - INFO: Eval PSNR (current): 37.945 (4040) SSIM (current): 0.9605 (4040) +[2024-05-20 15:34:18,273] - INFO: Evaluation over. +[2024-05-20 15:34:22,991] - INFO: Epoch 4041/9999, Iter 202000: Loss = 0.015411816537380219, lr = [5e-05] +[2024-05-20 15:34:51,248] - INFO: Epoch 4041/9999, Iter 202020: Loss = 0.009106476791203022, lr = [5e-05] +[2024-05-20 15:35:19,455] - INFO: Epoch 4041/9999, Iter 202040: Loss = 0.012101983651518822, lr = [5e-05] +[2024-05-20 15:35:48,962] - INFO: Epoch 4042/9999, Iter 202060: Loss = 0.009413361549377441, lr = [5e-05] +[2024-05-20 15:36:17,167] - INFO: Epoch 4042/9999, Iter 202080: Loss = 0.009569390676915646, lr = [5e-05] +[2024-05-20 15:36:45,586] - INFO: Epoch 4043/9999, Iter 202100: Loss = 0.015540633350610733, lr = [5e-05] +[2024-05-20 15:37:13,263] - INFO: Epoch 4043/9999, Iter 202120: Loss = 0.011926824226975441, lr = [5e-05] +[2024-05-20 15:37:41,502] - INFO: Epoch 4043/9999, Iter 202140: Loss = 0.011958387680351734, lr = [5e-05] +[2024-05-20 15:38:11,097] - INFO: Epoch 4044/9999, Iter 202160: Loss = 0.01617647148668766, lr = [5e-05] +[2024-05-20 15:38:38,764] - INFO: Epoch 4044/9999, Iter 202180: Loss = 0.011866194196045399, lr = [5e-05] +[2024-05-20 15:39:07,119] - INFO: Epoch 4045/9999, Iter 202200: Loss = 0.012549788691103458, lr = [5e-05] +[2024-05-20 15:39:34,457] - INFO: Epoch 4045/9999, Iter 202220: Loss = 0.010822154581546783, lr = [5e-05] +[2024-05-20 15:40:02,409] - INFO: Epoch 4045/9999, Iter 202240: Loss = 0.010561973787844181, lr = [5e-05] +[2024-05-20 15:40:14,938] - INFO: Evaluate at epoch 4045! +[2024-05-20 15:40:19,062] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 15:40:19,062] - INFO: Eval PSNR (current): 37.981 (4045) SSIM (current): 0.9607 (4045) +[2024-05-20 15:40:19,062] - INFO: Evaluation over. +[2024-05-20 15:40:38,151] - INFO: Epoch 4046/9999, Iter 202260: Loss = 0.013781316578388214, lr = [5e-05] +[2024-05-20 15:41:05,764] - INFO: Epoch 4046/9999, Iter 202280: Loss = 0.01196476723998785, lr = [5e-05] +[2024-05-20 15:41:34,635] - INFO: Epoch 4047/9999, Iter 202300: Loss = 0.016356417909264565, lr = [5e-05] +[2024-05-20 15:42:02,943] - INFO: Epoch 4047/9999, Iter 202320: Loss = 0.01452355831861496, lr = [5e-05] +[2024-05-20 15:42:29,711] - INFO: Epoch 4047/9999, Iter 202340: Loss = 0.015990031883120537, lr = [5e-05] +[2024-05-20 15:42:58,975] - INFO: Epoch 4048/9999, Iter 202360: Loss = 0.013519971631467342, lr = [5e-05] +[2024-05-20 15:43:26,674] - INFO: Epoch 4048/9999, Iter 202380: Loss = 0.012193948961794376, lr = [5e-05] +[2024-05-20 15:43:55,915] - INFO: Epoch 4049/9999, Iter 202400: Loss = 0.014644358307123184, lr = [5e-05] +[2024-05-20 15:44:24,939] - INFO: Epoch 4049/9999, Iter 202420: Loss = 0.01239827647805214, lr = [5e-05] +[2024-05-20 15:44:52,175] - INFO: Epoch 4049/9999, Iter 202440: Loss = 0.011210214346647263, lr = [5e-05] +[2024-05-20 15:45:21,377] - INFO: Epoch 4050/9999, Iter 202460: Loss = 0.015486505813896656, lr = [5e-05] +[2024-05-20 15:45:48,871] - INFO: Epoch 4050/9999, Iter 202480: Loss = 0.009750350378453732, lr = [5e-05] +[2024-05-20 15:46:15,110] - INFO: Evaluate at epoch 4050! +[2024-05-20 15:46:19,186] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 15:46:19,186] - INFO: Eval PSNR (current): 37.936 (4050) SSIM (current): 0.9607 (4050) +[2024-05-20 15:46:19,186] - INFO: Evaluation over. +[2024-05-20 15:46:23,820] - INFO: Epoch 4051/9999, Iter 202500: Loss = 0.008645028807222843, lr = [5e-05] +[2024-05-20 15:46:51,807] - INFO: Epoch 4051/9999, Iter 202520: Loss = 0.016163574531674385, lr = [5e-05] +[2024-05-20 15:47:19,835] - INFO: Epoch 4051/9999, Iter 202540: Loss = 0.009581898339092731, lr = [5e-05] +[2024-05-20 15:47:49,219] - INFO: Epoch 4052/9999, Iter 202560: Loss = 0.008203818462789059, lr = [5e-05] +[2024-05-20 15:48:16,683] - INFO: Epoch 4052/9999, Iter 202580: Loss = 0.012597559951245785, lr = [5e-05] +[2024-05-20 15:48:46,003] - INFO: Epoch 4053/9999, Iter 202600: Loss = 0.011915887705981731, lr = [5e-05] +[2024-05-20 15:49:14,577] - INFO: Epoch 4053/9999, Iter 202620: Loss = 0.014170159585773945, lr = [5e-05] +[2024-05-20 15:49:42,905] - INFO: Epoch 4053/9999, Iter 202640: Loss = 0.01786358281970024, lr = [5e-05] +[2024-05-20 15:50:12,132] - INFO: Epoch 4054/9999, Iter 202660: Loss = 0.020972155034542084, lr = [5e-05] +[2024-05-20 15:50:40,426] - INFO: Epoch 4054/9999, Iter 202680: Loss = 0.016449078917503357, lr = [5e-05] +[2024-05-20 15:51:09,150] - INFO: Epoch 4055/9999, Iter 202700: Loss = 0.012056226842105389, lr = [5e-05] +[2024-05-20 15:51:37,974] - INFO: Epoch 4055/9999, Iter 202720: Loss = 0.010364715941250324, lr = [5e-05] +[2024-05-20 15:52:05,954] - INFO: Epoch 4055/9999, Iter 202740: Loss = 0.014829672873020172, lr = [5e-05] +[2024-05-20 15:52:18,104] - INFO: Evaluate at epoch 4055! +[2024-05-20 15:52:22,178] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 15:52:22,178] - INFO: Eval PSNR (current): 37.980 (4055) SSIM (current): 0.9607 (4055) +[2024-05-20 15:52:22,178] - INFO: Evaluation over. +[2024-05-20 15:52:41,099] - INFO: Epoch 4056/9999, Iter 202760: Loss = 0.010517672635614872, lr = [5e-05] +[2024-05-20 15:53:09,492] - INFO: Epoch 4056/9999, Iter 202780: Loss = 0.01197925116866827, lr = [5e-05] +[2024-05-20 15:53:38,740] - INFO: Epoch 4057/9999, Iter 202800: Loss = 0.008489509113132954, lr = [5e-05] +[2024-05-20 15:54:06,282] - INFO: Epoch 4057/9999, Iter 202820: Loss = 0.0069897775538265705, lr = [5e-05] +[2024-05-20 15:54:33,381] - INFO: Epoch 4057/9999, Iter 202840: Loss = 0.011312507092952728, lr = [5e-05] +[2024-05-20 15:55:02,861] - INFO: Epoch 4058/9999, Iter 202860: Loss = 0.010300607420504093, lr = [5e-05] +[2024-05-20 15:55:29,759] - INFO: Epoch 4058/9999, Iter 202880: Loss = 0.01841200888156891, lr = [5e-05] +[2024-05-20 15:55:58,222] - INFO: Epoch 4059/9999, Iter 202900: Loss = 0.007697143126279116, lr = [5e-05] +[2024-05-20 15:56:25,939] - INFO: Epoch 4059/9999, Iter 202920: Loss = 0.013475988991558552, lr = [5e-05] +[2024-05-20 15:56:54,086] - INFO: Epoch 4059/9999, Iter 202940: Loss = 0.009707084856927395, lr = [5e-05] +[2024-05-20 15:57:23,062] - INFO: Epoch 4060/9999, Iter 202960: Loss = 0.013364948332309723, lr = [5e-05] +[2024-05-20 15:57:50,475] - INFO: Epoch 4060/9999, Iter 202980: Loss = 0.010732173919677734, lr = [5e-05] +[2024-05-20 15:58:16,014] - INFO: Evaluate at epoch 4060! +[2024-05-20 15:58:20,085] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 15:58:20,085] - INFO: Eval PSNR (current): 37.999 (4060) SSIM (current): 0.9607 (4060) +[2024-05-20 15:58:20,085] - INFO: Evaluation over. +[2024-05-20 15:58:24,605] - INFO: Epoch 4061/9999, Iter 203000: Loss = 0.014430057257413864, lr = [5e-05] +[2024-05-20 15:58:52,821] - INFO: Epoch 4061/9999, Iter 203020: Loss = 0.012014812789857388, lr = [5e-05] +[2024-05-20 15:59:20,919] - INFO: Epoch 4061/9999, Iter 203040: Loss = 0.01582307741045952, lr = [5e-05] +[2024-05-20 15:59:51,057] - INFO: Epoch 4062/9999, Iter 203060: Loss = 0.014481224119663239, lr = [5e-05] +[2024-05-20 16:00:19,257] - INFO: Epoch 4062/9999, Iter 203080: Loss = 0.011234642006456852, lr = [5e-05] +[2024-05-20 16:00:48,163] - INFO: Epoch 4063/9999, Iter 203100: Loss = 0.011055327020585537, lr = [5e-05] +[2024-05-20 16:01:15,118] - INFO: Epoch 4063/9999, Iter 203120: Loss = 0.017540816217660904, lr = [5e-05] +[2024-05-20 16:01:42,361] - INFO: Epoch 4063/9999, Iter 203140: Loss = 0.00875457376241684, lr = [5e-05] +[2024-05-20 16:02:11,424] - INFO: Epoch 4064/9999, Iter 203160: Loss = 0.01650247722864151, lr = [5e-05] +[2024-05-20 16:02:39,619] - INFO: Epoch 4064/9999, Iter 203180: Loss = 0.01360609382390976, lr = [5e-05] +[2024-05-20 16:03:08,870] - INFO: Epoch 4065/9999, Iter 203200: Loss = 0.009113120846450329, lr = [5e-05] +[2024-05-20 16:03:36,767] - INFO: Epoch 4065/9999, Iter 203220: Loss = 0.014801843091845512, lr = [5e-05] +[2024-05-20 16:04:04,359] - INFO: Epoch 4065/9999, Iter 203240: Loss = 0.0204297062009573, lr = [5e-05] +[2024-05-20 16:04:16,799] - INFO: Evaluate at epoch 4065! +[2024-05-20 16:04:20,867] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 16:04:20,867] - INFO: Eval PSNR (current): 37.973 (4065) SSIM (current): 0.9607 (4065) +[2024-05-20 16:04:20,867] - INFO: Evaluation over. +[2024-05-20 16:04:39,063] - INFO: Epoch 4066/9999, Iter 203260: Loss = 0.012492435984313488, lr = [5e-05] +[2024-05-20 16:05:06,438] - INFO: Epoch 4066/9999, Iter 203280: Loss = 0.011945096775889397, lr = [5e-05] +[2024-05-20 16:05:35,427] - INFO: Epoch 4067/9999, Iter 203300: Loss = 0.00910200271755457, lr = [5e-05] +[2024-05-20 16:06:03,291] - INFO: Epoch 4067/9999, Iter 203320: Loss = 0.014364542439579964, lr = [5e-05] +[2024-05-20 16:06:31,267] - INFO: Epoch 4067/9999, Iter 203340: Loss = 0.012417543679475784, lr = [5e-05] +[2024-05-20 16:07:00,163] - INFO: Epoch 4068/9999, Iter 203360: Loss = 0.011705010198056698, lr = [5e-05] +[2024-05-20 16:07:28,640] - INFO: Epoch 4068/9999, Iter 203380: Loss = 0.00867711752653122, lr = [5e-05] +[2024-05-20 16:07:57,479] - INFO: Epoch 4069/9999, Iter 203400: Loss = 0.012006252072751522, lr = [5e-05] +[2024-05-20 16:08:24,862] - INFO: Epoch 4069/9999, Iter 203420: Loss = 0.012531287968158722, lr = [5e-05] +[2024-05-20 16:08:51,701] - INFO: Epoch 4069/9999, Iter 203440: Loss = 0.011885481886565685, lr = [5e-05] +[2024-05-20 16:09:20,790] - INFO: Epoch 4070/9999, Iter 203460: Loss = 0.015035903081297874, lr = [5e-05] +[2024-05-20 16:09:48,499] - INFO: Epoch 4070/9999, Iter 203480: Loss = 0.010771237313747406, lr = [5e-05] +[2024-05-20 16:10:14,296] - INFO: Evaluate at epoch 4070! +[2024-05-20 16:10:18,375] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 16:10:18,375] - INFO: Eval PSNR (current): 37.947 (4070) SSIM (current): 0.9607 (4070) +[2024-05-20 16:10:18,376] - INFO: Evaluation over. +[2024-05-20 16:10:23,320] - INFO: Epoch 4071/9999, Iter 203500: Loss = 0.007813395000994205, lr = [5e-05] +[2024-05-20 16:10:51,183] - INFO: Epoch 4071/9999, Iter 203520: Loss = 0.01322197075933218, lr = [5e-05] +[2024-05-20 16:11:19,044] - INFO: Epoch 4071/9999, Iter 203540: Loss = 0.010926059447228909, lr = [5e-05] +[2024-05-20 16:11:48,146] - INFO: Epoch 4072/9999, Iter 203560: Loss = 0.013025728054344654, lr = [5e-05] +[2024-05-20 16:12:15,719] - INFO: Epoch 4072/9999, Iter 203580: Loss = 0.014869148842990398, lr = [5e-05] +[2024-05-20 16:12:44,815] - INFO: Epoch 4073/9999, Iter 203600: Loss = 0.014135755598545074, lr = [5e-05] +[2024-05-20 16:13:13,557] - INFO: Epoch 4073/9999, Iter 203620: Loss = 0.009755050763487816, lr = [5e-05] +[2024-05-20 16:13:40,519] - INFO: Epoch 4073/9999, Iter 203640: Loss = 0.01656641997396946, lr = [5e-05] +[2024-05-20 16:14:09,533] - INFO: Epoch 4074/9999, Iter 203660: Loss = 0.012736711651086807, lr = [5e-05] +[2024-05-20 16:14:37,278] - INFO: Epoch 4074/9999, Iter 203680: Loss = 0.011204582639038563, lr = [5e-05] +[2024-05-20 16:15:06,875] - INFO: Epoch 4075/9999, Iter 203700: Loss = 0.016575893387198448, lr = [5e-05] +[2024-05-20 16:15:34,995] - INFO: Epoch 4075/9999, Iter 203720: Loss = 0.015861690044403076, lr = [5e-05] +[2024-05-20 16:16:02,826] - INFO: Epoch 4075/9999, Iter 203740: Loss = 0.01488130446523428, lr = [5e-05] +[2024-05-20 16:16:15,550] - INFO: Evaluate at epoch 4075! +[2024-05-20 16:16:19,619] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 16:16:19,619] - INFO: Eval PSNR (current): 37.948 (4075) SSIM (current): 0.9606 (4075) +[2024-05-20 16:16:19,619] - INFO: Evaluation over. +[2024-05-20 16:16:38,103] - INFO: Epoch 4076/9999, Iter 203760: Loss = 0.013525222428143024, lr = [5e-05] +[2024-05-20 16:17:05,190] - INFO: Epoch 4076/9999, Iter 203780: Loss = 0.01523289643228054, lr = [5e-05] +[2024-05-20 16:17:34,261] - INFO: Epoch 4077/9999, Iter 203800: Loss = 0.008854477666318417, lr = [5e-05] +[2024-05-20 16:18:00,873] - INFO: Epoch 4077/9999, Iter 203820: Loss = 0.01583777740597725, lr = [5e-05] +[2024-05-20 16:18:27,483] - INFO: Epoch 4077/9999, Iter 203840: Loss = 0.01267253328114748, lr = [5e-05] +[2024-05-20 16:18:56,206] - INFO: Epoch 4078/9999, Iter 203860: Loss = 0.009317819029092789, lr = [5e-05] +[2024-05-20 16:19:23,350] - INFO: Epoch 4078/9999, Iter 203880: Loss = 0.015339511446654797, lr = [5e-05] +[2024-05-20 16:19:52,809] - INFO: Epoch 4079/9999, Iter 203900: Loss = 0.01792905479669571, lr = [5e-05] +[2024-05-20 16:20:19,427] - INFO: Epoch 4079/9999, Iter 203920: Loss = 0.01446947455406189, lr = [5e-05] +[2024-05-20 16:20:47,775] - INFO: Epoch 4079/9999, Iter 203940: Loss = 0.01516859233379364, lr = [5e-05] +[2024-05-20 16:21:17,442] - INFO: Epoch 4080/9999, Iter 203960: Loss = 0.013691224157810211, lr = [5e-05] +[2024-05-20 16:21:43,631] - INFO: Epoch 4080/9999, Iter 203980: Loss = 0.008648725226521492, lr = [5e-05] +[2024-05-20 16:22:10,391] - INFO: Evaluate at epoch 4080! +[2024-05-20 16:22:14,468] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 16:22:14,468] - INFO: Eval PSNR (current): 37.984 (4080) SSIM (current): 0.9608 (4080) +[2024-05-20 16:22:14,468] - INFO: Evaluation over. +[2024-05-20 16:22:18,716] - INFO: Epoch 4081/9999, Iter 204000: Loss = 0.007699065376073122, lr = [5e-05] +[2024-05-20 16:22:47,553] - INFO: Epoch 4081/9999, Iter 204020: Loss = 0.010512357577681541, lr = [5e-05] +[2024-05-20 16:23:15,513] - INFO: Epoch 4081/9999, Iter 204040: Loss = 0.014334303326904774, lr = [5e-05] +[2024-05-20 16:23:45,359] - INFO: Epoch 4082/9999, Iter 204060: Loss = 0.007663235068321228, lr = [5e-05] +[2024-05-20 16:24:14,024] - INFO: Epoch 4082/9999, Iter 204080: Loss = 0.007299175951629877, lr = [5e-05] +[2024-05-20 16:24:43,001] - INFO: Epoch 4083/9999, Iter 204100: Loss = 0.010659669525921345, lr = [5e-05] +[2024-05-20 16:25:11,504] - INFO: Epoch 4083/9999, Iter 204120: Loss = 0.014630770310759544, lr = [5e-05] +[2024-05-20 16:25:39,039] - INFO: Epoch 4083/9999, Iter 204140: Loss = 0.012382417917251587, lr = [5e-05] +[2024-05-20 16:26:08,216] - INFO: Epoch 4084/9999, Iter 204160: Loss = 0.009636358357965946, lr = [5e-05] +[2024-05-20 16:26:35,498] - INFO: Epoch 4084/9999, Iter 204180: Loss = 0.014250503852963448, lr = [5e-05] +[2024-05-20 16:27:04,784] - INFO: Epoch 4085/9999, Iter 204200: Loss = 0.018163908272981644, lr = [5e-05] +[2024-05-20 16:27:32,701] - INFO: Epoch 4085/9999, Iter 204220: Loss = 0.0126214399933815, lr = [5e-05] +[2024-05-20 16:28:00,225] - INFO: Epoch 4085/9999, Iter 204240: Loss = 0.010144297033548355, lr = [5e-05] +[2024-05-20 16:28:12,617] - INFO: Evaluate at epoch 4085! +[2024-05-20 16:28:16,689] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 16:28:16,689] - INFO: Eval PSNR (current): 37.953 (4085) SSIM (current): 0.9607 (4085) +[2024-05-20 16:28:16,689] - INFO: Evaluation over. +[2024-05-20 16:28:35,100] - INFO: Epoch 4086/9999, Iter 204260: Loss = 0.008560501970350742, lr = [5e-05] +[2024-05-20 16:29:03,395] - INFO: Epoch 4086/9999, Iter 204280: Loss = 0.013473974540829659, lr = [5e-05] +[2024-05-20 16:29:32,090] - INFO: Epoch 4087/9999, Iter 204300: Loss = 0.015070848166942596, lr = [5e-05] +[2024-05-20 16:30:00,962] - INFO: Epoch 4087/9999, Iter 204320: Loss = 0.007525941822677851, lr = [5e-05] +[2024-05-20 16:30:28,383] - INFO: Epoch 4087/9999, Iter 204340: Loss = 0.009417525492608547, lr = [5e-05] +[2024-05-20 16:30:57,723] - INFO: Epoch 4088/9999, Iter 204360: Loss = 0.015897173434495926, lr = [5e-05] +[2024-05-20 16:31:24,112] - INFO: Epoch 4088/9999, Iter 204380: Loss = 0.012995314784348011, lr = [5e-05] +[2024-05-20 16:31:53,544] - INFO: Epoch 4089/9999, Iter 204400: Loss = 0.013895551674067974, lr = [5e-05] +[2024-05-20 16:32:22,111] - INFO: Epoch 4089/9999, Iter 204420: Loss = 0.009046811610460281, lr = [5e-05] +[2024-05-20 16:32:50,335] - INFO: Epoch 4089/9999, Iter 204440: Loss = 0.009375760331749916, lr = [5e-05] +[2024-05-20 16:33:19,161] - INFO: Epoch 4090/9999, Iter 204460: Loss = 0.01295686885714531, lr = [5e-05] +[2024-05-20 16:33:47,197] - INFO: Epoch 4090/9999, Iter 204480: Loss = 0.012464935891330242, lr = [5e-05] +[2024-05-20 16:34:11,917] - INFO: Evaluate at epoch 4090! +[2024-05-20 16:34:15,988] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 16:34:15,988] - INFO: Eval PSNR (current): 37.966 (4090) SSIM (current): 0.9607 (4090) +[2024-05-20 16:34:15,988] - INFO: Evaluation over. +[2024-05-20 16:34:20,771] - INFO: Epoch 4091/9999, Iter 204500: Loss = 0.01559459324926138, lr = [5e-05] +[2024-05-20 16:34:48,367] - INFO: Epoch 4091/9999, Iter 204520: Loss = 0.014084666036069393, lr = [5e-05] +[2024-05-20 16:35:16,431] - INFO: Epoch 4091/9999, Iter 204540: Loss = 0.010886012576520443, lr = [5e-05] +[2024-05-20 16:35:45,947] - INFO: Epoch 4092/9999, Iter 204560: Loss = 0.008387583307921886, lr = [5e-05] +[2024-05-20 16:36:13,783] - INFO: Epoch 4092/9999, Iter 204580: Loss = 0.015545626170933247, lr = [5e-05] +[2024-05-20 16:36:42,635] - INFO: Epoch 4093/9999, Iter 204600: Loss = 0.014622608199715614, lr = [5e-05] +[2024-05-20 16:37:10,375] - INFO: Epoch 4093/9999, Iter 204620: Loss = 0.01810249127447605, lr = [5e-05] +[2024-05-20 16:37:37,891] - INFO: Epoch 4093/9999, Iter 204640: Loss = 0.010027450509369373, lr = [5e-05] +[2024-05-20 16:38:07,768] - INFO: Epoch 4094/9999, Iter 204660: Loss = 0.012011951766908169, lr = [5e-05] +[2024-05-20 16:38:35,720] - INFO: Epoch 4094/9999, Iter 204680: Loss = 0.010397447273135185, lr = [5e-05] +[2024-05-20 16:39:04,051] - INFO: Epoch 4095/9999, Iter 204700: Loss = 0.011389827355742455, lr = [5e-05] +[2024-05-20 16:39:32,159] - INFO: Epoch 4095/9999, Iter 204720: Loss = 0.012718445621430874, lr = [5e-05] +[2024-05-20 16:39:59,692] - INFO: Epoch 4095/9999, Iter 204740: Loss = 0.011467001400887966, lr = [5e-05] +[2024-05-20 16:40:11,704] - INFO: Evaluate at epoch 4095! +[2024-05-20 16:40:15,778] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 16:40:15,778] - INFO: Eval PSNR (current): 37.924 (4095) SSIM (current): 0.9607 (4095) +[2024-05-20 16:40:15,778] - INFO: Evaluation over. +[2024-05-20 16:40:34,555] - INFO: Epoch 4096/9999, Iter 204760: Loss = 0.009652376174926758, lr = [5e-05] +[2024-05-20 16:41:02,404] - INFO: Epoch 4096/9999, Iter 204780: Loss = 0.015531257726252079, lr = [5e-05] +[2024-05-20 16:41:30,747] - INFO: Epoch 4097/9999, Iter 204800: Loss = 0.01012227963656187, lr = [5e-05] +[2024-05-20 16:41:59,097] - INFO: Epoch 4097/9999, Iter 204820: Loss = 0.016669902950525284, lr = [5e-05] +[2024-05-20 16:42:27,341] - INFO: Epoch 4097/9999, Iter 204840: Loss = 0.020039716735482216, lr = [5e-05] +[2024-05-20 16:42:56,091] - INFO: Epoch 4098/9999, Iter 204860: Loss = 0.008108178153634071, lr = [5e-05] +[2024-05-20 16:43:22,824] - INFO: Epoch 4098/9999, Iter 204880: Loss = 0.008819575421512127, lr = [5e-05] +[2024-05-20 16:43:51,806] - INFO: Epoch 4099/9999, Iter 204900: Loss = 0.014163702726364136, lr = [5e-05] +[2024-05-20 16:44:19,262] - INFO: Epoch 4099/9999, Iter 204920: Loss = 0.010303722694516182, lr = [5e-05] +[2024-05-20 16:44:47,656] - INFO: Epoch 4099/9999, Iter 204940: Loss = 0.011547023430466652, lr = [5e-05] +[2024-05-20 16:45:17,009] - INFO: Epoch 4100/9999, Iter 204960: Loss = 0.018388280645012856, lr = [5e-05] +[2024-05-20 16:45:45,176] - INFO: Epoch 4100/9999, Iter 204980: Loss = 0.01808215118944645, lr = [5e-05] +[2024-05-20 16:46:11,164] - INFO: Evaluate at epoch 4100! +[2024-05-20 16:46:15,234] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 16:46:15,234] - INFO: Eval PSNR (current): 37.958 (4100) SSIM (current): 0.9607 (4100) +[2024-05-20 16:46:15,234] - INFO: Evaluation over. +[2024-05-20 16:46:20,023] - INFO: Epoch 4101/9999, Iter 205000: Loss = 0.01322292722761631, lr = [5e-05] +[2024-05-20 16:46:47,950] - INFO: Epoch 4101/9999, Iter 205020: Loss = 0.017235293984413147, lr = [5e-05] +[2024-05-20 16:47:16,129] - INFO: Epoch 4101/9999, Iter 205040: Loss = 0.011494506150484085, lr = [5e-05] +[2024-05-20 16:47:44,406] - INFO: Epoch 4102/9999, Iter 205060: Loss = 0.01555935014039278, lr = [5e-05] +[2024-05-20 16:48:11,535] - INFO: Epoch 4102/9999, Iter 205080: Loss = 0.011950908228754997, lr = [5e-05] +[2024-05-20 16:48:40,399] - INFO: Epoch 4103/9999, Iter 205100: Loss = 0.017951499670743942, lr = [5e-05] +[2024-05-20 16:49:08,475] - INFO: Epoch 4103/9999, Iter 205120: Loss = 0.01357068121433258, lr = [5e-05] +[2024-05-20 16:49:36,595] - INFO: Epoch 4103/9999, Iter 205140: Loss = 0.016558164730668068, lr = [5e-05] +[2024-05-20 16:50:05,018] - INFO: Epoch 4104/9999, Iter 205160: Loss = 0.010530330240726471, lr = [5e-05] +[2024-05-20 16:50:33,843] - INFO: Epoch 4104/9999, Iter 205180: Loss = 0.01371713075786829, lr = [5e-05] +[2024-05-20 16:51:02,398] - INFO: Epoch 4105/9999, Iter 205200: Loss = 0.021704867482185364, lr = [5e-05] +[2024-05-20 16:51:30,311] - INFO: Epoch 4105/9999, Iter 205220: Loss = 0.00844571739435196, lr = [5e-05] +[2024-05-20 16:51:57,157] - INFO: Epoch 4105/9999, Iter 205240: Loss = 0.016385624185204506, lr = [5e-05] +[2024-05-20 16:52:10,126] - INFO: Evaluate at epoch 4105! +[2024-05-20 16:52:14,293] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 16:52:14,293] - INFO: Eval PSNR (current): 37.934 (4105) SSIM (current): 0.9606 (4105) +[2024-05-20 16:52:14,293] - INFO: Evaluation over. +[2024-05-20 16:52:32,775] - INFO: Epoch 4106/9999, Iter 205260: Loss = 0.01078934594988823, lr = [5e-05] +[2024-05-20 16:52:59,705] - INFO: Epoch 4106/9999, Iter 205280: Loss = 0.015737222507596016, lr = [5e-05] +[2024-05-20 16:53:28,535] - INFO: Epoch 4107/9999, Iter 205300: Loss = 0.016028961166739464, lr = [5e-05] +[2024-05-20 16:53:57,105] - INFO: Epoch 4107/9999, Iter 205320: Loss = 0.012313787825405598, lr = [5e-05] +[2024-05-20 16:54:25,335] - INFO: Epoch 4107/9999, Iter 205340: Loss = 0.0082809804007411, lr = [5e-05] +[2024-05-20 16:54:53,986] - INFO: Epoch 4108/9999, Iter 205360: Loss = 0.017054464668035507, lr = [5e-05] +[2024-05-20 16:55:21,460] - INFO: Epoch 4108/9999, Iter 205380: Loss = 0.016315210610628128, lr = [5e-05] +[2024-05-20 16:55:49,591] - INFO: Epoch 4109/9999, Iter 205400: Loss = 0.01678568311035633, lr = [5e-05] +[2024-05-20 16:56:18,087] - INFO: Epoch 4109/9999, Iter 205420: Loss = 0.016735265031456947, lr = [5e-05] +[2024-05-20 16:56:45,774] - INFO: Epoch 4109/9999, Iter 205440: Loss = 0.022347917780280113, lr = [5e-05] +[2024-05-20 16:57:14,413] - INFO: Epoch 4110/9999, Iter 205460: Loss = 0.014683721587061882, lr = [5e-05] +[2024-05-20 16:57:40,927] - INFO: Epoch 4110/9999, Iter 205480: Loss = 0.013610606081783772, lr = [5e-05] +[2024-05-20 16:58:07,323] - INFO: Evaluate at epoch 4110! +[2024-05-20 16:58:11,392] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 16:58:11,392] - INFO: Eval PSNR (current): 37.969 (4110) SSIM (current): 0.9607 (4110) +[2024-05-20 16:58:11,393] - INFO: Evaluation over. +[2024-05-20 16:58:15,707] - INFO: Epoch 4111/9999, Iter 205500: Loss = 0.011847114190459251, lr = [5e-05] +[2024-05-20 16:58:42,763] - INFO: Epoch 4111/9999, Iter 205520: Loss = 0.010526054538786411, lr = [5e-05] +[2024-05-20 16:59:09,648] - INFO: Epoch 4111/9999, Iter 205540: Loss = 0.0106944115832448, lr = [5e-05] +[2024-05-20 16:59:38,287] - INFO: Epoch 4112/9999, Iter 205560: Loss = 0.013211340643465519, lr = [5e-05] +[2024-05-20 17:00:04,815] - INFO: Epoch 4112/9999, Iter 205580: Loss = 0.012602140195667744, lr = [5e-05] +[2024-05-20 17:00:34,233] - INFO: Epoch 4113/9999, Iter 205600: Loss = 0.012050552293658257, lr = [5e-05] +[2024-05-20 17:01:02,891] - INFO: Epoch 4113/9999, Iter 205620: Loss = 0.015026549808681011, lr = [5e-05] +[2024-05-20 17:01:30,711] - INFO: Epoch 4113/9999, Iter 205640: Loss = 0.013231966644525528, lr = [5e-05] +[2024-05-20 17:01:59,491] - INFO: Epoch 4114/9999, Iter 205660: Loss = 0.01608477719128132, lr = [5e-05] +[2024-05-20 17:02:27,155] - INFO: Epoch 4114/9999, Iter 205680: Loss = 0.015622003003954887, lr = [5e-05] +[2024-05-20 17:02:55,558] - INFO: Epoch 4115/9999, Iter 205700: Loss = 0.016812318935990334, lr = [5e-05] +[2024-05-20 17:03:23,175] - INFO: Epoch 4115/9999, Iter 205720: Loss = 0.011891131289303303, lr = [5e-05] +[2024-05-20 17:03:51,907] - INFO: Epoch 4115/9999, Iter 205740: Loss = 0.010904877446591854, lr = [5e-05] +[2024-05-20 17:04:03,446] - INFO: Evaluate at epoch 4115! +[2024-05-20 17:04:07,517] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 17:04:07,517] - INFO: Eval PSNR (current): 37.946 (4115) SSIM (current): 0.9607 (4115) +[2024-05-20 17:04:07,517] - INFO: Evaluation over. +[2024-05-20 17:04:25,505] - INFO: Epoch 4116/9999, Iter 205760: Loss = 0.013636196032166481, lr = [5e-05] +[2024-05-20 17:04:53,047] - INFO: Epoch 4116/9999, Iter 205780: Loss = 0.012914416380226612, lr = [5e-05] +[2024-05-20 17:05:22,802] - INFO: Epoch 4117/9999, Iter 205800: Loss = 0.014556227251887321, lr = [5e-05] +[2024-05-20 17:05:50,515] - INFO: Epoch 4117/9999, Iter 205820: Loss = 0.011146288365125656, lr = [5e-05] +[2024-05-20 17:06:18,313] - INFO: Epoch 4117/9999, Iter 205840: Loss = 0.01122494786977768, lr = [5e-05] +[2024-05-20 17:06:48,049] - INFO: Epoch 4118/9999, Iter 205860: Loss = 0.01403376366943121, lr = [5e-05] +[2024-05-20 17:07:15,369] - INFO: Epoch 4118/9999, Iter 205880: Loss = 0.008886979892849922, lr = [5e-05] +[2024-05-20 17:07:45,236] - INFO: Epoch 4119/9999, Iter 205900: Loss = 0.01123069692403078, lr = [5e-05] +[2024-05-20 17:08:13,567] - INFO: Epoch 4119/9999, Iter 205920: Loss = 0.012216232717037201, lr = [5e-05] +[2024-05-20 17:08:40,710] - INFO: Epoch 4119/9999, Iter 205940: Loss = 0.012096905149519444, lr = [5e-05] +[2024-05-20 17:09:09,748] - INFO: Epoch 4120/9999, Iter 205960: Loss = 0.009618309326469898, lr = [5e-05] +[2024-05-20 17:09:38,315] - INFO: Epoch 4120/9999, Iter 205980: Loss = 0.01316187996417284, lr = [5e-05] +[2024-05-20 17:10:04,388] - INFO: Evaluate at epoch 4120! +[2024-05-20 17:10:08,458] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 17:10:08,458] - INFO: Eval PSNR (current): 37.957 (4120) SSIM (current): 0.9607 (4120) +[2024-05-20 17:10:08,458] - INFO: Evaluation over. +[2024-05-20 17:10:13,535] - INFO: Epoch 4121/9999, Iter 206000: Loss = 0.014047393575310707, lr = [5e-05] +[2024-05-20 17:10:42,139] - INFO: Epoch 4121/9999, Iter 206020: Loss = 0.007259875535964966, lr = [5e-05] +[2024-05-20 17:11:10,195] - INFO: Epoch 4121/9999, Iter 206040: Loss = 0.01347898319363594, lr = [5e-05] +[2024-05-20 17:11:39,333] - INFO: Epoch 4122/9999, Iter 206060: Loss = 0.007244661450386047, lr = [5e-05] +[2024-05-20 17:12:07,733] - INFO: Epoch 4122/9999, Iter 206080: Loss = 0.01686399057507515, lr = [5e-05] +[2024-05-20 17:12:36,695] - INFO: Epoch 4123/9999, Iter 206100: Loss = 0.013240859843790531, lr = [5e-05] +[2024-05-20 17:13:04,533] - INFO: Epoch 4123/9999, Iter 206120: Loss = 0.011441036127507687, lr = [5e-05] +[2024-05-20 17:13:32,076] - INFO: Epoch 4123/9999, Iter 206140: Loss = 0.0104347113519907, lr = [5e-05] +[2024-05-20 17:14:01,326] - INFO: Epoch 4124/9999, Iter 206160: Loss = 0.014056503772735596, lr = [5e-05] +[2024-05-20 17:14:28,635] - INFO: Epoch 4124/9999, Iter 206180: Loss = 0.01207733154296875, lr = [5e-05] +[2024-05-20 17:14:56,962] - INFO: Epoch 4125/9999, Iter 206200: Loss = 0.008795314468443394, lr = [5e-05] +[2024-05-20 17:15:24,309] - INFO: Epoch 4125/9999, Iter 206220: Loss = 0.017385806888341904, lr = [5e-05] +[2024-05-20 17:15:51,347] - INFO: Epoch 4125/9999, Iter 206240: Loss = 0.014340228401124477, lr = [5e-05] +[2024-05-20 17:16:03,744] - INFO: Evaluate at epoch 4125! +[2024-05-20 17:16:07,813] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 17:16:07,814] - INFO: Eval PSNR (current): 37.933 (4125) SSIM (current): 0.9606 (4125) +[2024-05-20 17:16:07,814] - INFO: Evaluation over. +[2024-05-20 17:16:26,239] - INFO: Epoch 4126/9999, Iter 206260: Loss = 0.015530222095549107, lr = [5e-05] +[2024-05-20 17:16:54,466] - INFO: Epoch 4126/9999, Iter 206280: Loss = 0.014869634993374348, lr = [5e-05] +[2024-05-20 17:17:23,091] - INFO: Epoch 4127/9999, Iter 206300: Loss = 0.014754217118024826, lr = [5e-05] +[2024-05-20 17:17:50,546] - INFO: Epoch 4127/9999, Iter 206320: Loss = 0.011668158695101738, lr = [5e-05] +[2024-05-20 17:18:18,507] - INFO: Epoch 4127/9999, Iter 206340: Loss = 0.018302619457244873, lr = [5e-05] +[2024-05-20 17:18:47,133] - INFO: Epoch 4128/9999, Iter 206360: Loss = 0.017691539600491524, lr = [5e-05] +[2024-05-20 17:19:14,204] - INFO: Epoch 4128/9999, Iter 206380: Loss = 0.013340997509658337, lr = [5e-05] +[2024-05-20 17:19:42,857] - INFO: Epoch 4129/9999, Iter 206400: Loss = 0.012917797081172466, lr = [5e-05] +[2024-05-20 17:20:10,631] - INFO: Epoch 4129/9999, Iter 206420: Loss = 0.015518812462687492, lr = [5e-05] +[2024-05-20 17:20:38,475] - INFO: Epoch 4129/9999, Iter 206440: Loss = 0.013906923122704029, lr = [5e-05] +[2024-05-20 17:21:06,568] - INFO: Epoch 4130/9999, Iter 206460: Loss = 0.01048664003610611, lr = [5e-05] +[2024-05-20 17:21:34,103] - INFO: Epoch 4130/9999, Iter 206480: Loss = 0.013156138360500336, lr = [5e-05] +[2024-05-20 17:22:00,237] - INFO: Evaluate at epoch 4130! +[2024-05-20 17:22:04,307] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 17:22:04,307] - INFO: Eval PSNR (current): 37.969 (4130) SSIM (current): 0.9607 (4130) +[2024-05-20 17:22:04,307] - INFO: Evaluation over. +[2024-05-20 17:22:08,943] - INFO: Epoch 4131/9999, Iter 206500: Loss = 0.01096426136791706, lr = [5e-05] +[2024-05-20 17:22:35,766] - INFO: Epoch 4131/9999, Iter 206520: Loss = 0.008391760289669037, lr = [5e-05] +[2024-05-20 17:23:03,299] - INFO: Epoch 4131/9999, Iter 206540: Loss = 0.01605648547410965, lr = [5e-05] +[2024-05-20 17:23:32,394] - INFO: Epoch 4132/9999, Iter 206560: Loss = 0.01350292470306158, lr = [5e-05] +[2024-05-20 17:24:00,587] - INFO: Epoch 4132/9999, Iter 206580: Loss = 0.009610237553715706, lr = [5e-05] +[2024-05-20 17:24:29,403] - INFO: Epoch 4133/9999, Iter 206600: Loss = 0.017847010865807533, lr = [5e-05] +[2024-05-20 17:24:56,190] - INFO: Epoch 4133/9999, Iter 206620: Loss = 0.010718314908444881, lr = [5e-05] +[2024-05-20 17:25:23,039] - INFO: Epoch 4133/9999, Iter 206640: Loss = 0.010668575763702393, lr = [5e-05] +[2024-05-20 17:25:52,259] - INFO: Epoch 4134/9999, Iter 206660: Loss = 0.012513838708400726, lr = [5e-05] +[2024-05-20 17:26:21,534] - INFO: Epoch 4134/9999, Iter 206680: Loss = 0.007583003491163254, lr = [5e-05] +[2024-05-20 17:26:49,871] - INFO: Epoch 4135/9999, Iter 206700: Loss = 0.009573502466082573, lr = [5e-05] +[2024-05-20 17:27:17,731] - INFO: Epoch 4135/9999, Iter 206720: Loss = 0.01468527503311634, lr = [5e-05] +[2024-05-20 17:27:46,280] - INFO: Epoch 4135/9999, Iter 206740: Loss = 0.01760806143283844, lr = [5e-05] +[2024-05-20 17:27:58,420] - INFO: Evaluate at epoch 4135! +[2024-05-20 17:28:02,493] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 17:28:02,493] - INFO: Eval PSNR (current): 38.000 (4135) SSIM (current): 0.9608 (4135) +[2024-05-20 17:28:02,493] - INFO: Evaluation over. +[2024-05-20 17:28:20,761] - INFO: Epoch 4136/9999, Iter 206760: Loss = 0.013449425809085369, lr = [5e-05] +[2024-05-20 17:28:48,038] - INFO: Epoch 4136/9999, Iter 206780: Loss = 0.013693188317120075, lr = [5e-05] +[2024-05-20 17:29:16,419] - INFO: Epoch 4137/9999, Iter 206800: Loss = 0.01094320323318243, lr = [5e-05] +[2024-05-20 17:29:42,978] - INFO: Epoch 4137/9999, Iter 206820: Loss = 0.012541345320641994, lr = [5e-05] +[2024-05-20 17:30:09,832] - INFO: Epoch 4137/9999, Iter 206840: Loss = 0.011409912258386612, lr = [5e-05] +[2024-05-20 17:30:39,795] - INFO: Epoch 4138/9999, Iter 206860: Loss = 0.018068308010697365, lr = [5e-05] +[2024-05-20 17:31:06,933] - INFO: Epoch 4138/9999, Iter 206880: Loss = 0.012786739505827427, lr = [5e-05] +[2024-05-20 17:31:35,495] - INFO: Epoch 4139/9999, Iter 206900: Loss = 0.009014363400638103, lr = [5e-05] +[2024-05-20 17:32:03,452] - INFO: Epoch 4139/9999, Iter 206920: Loss = 0.015758560970425606, lr = [5e-05] +[2024-05-20 17:32:31,843] - INFO: Epoch 4139/9999, Iter 206940: Loss = 0.013841139152646065, lr = [5e-05] +[2024-05-20 17:33:01,159] - INFO: Epoch 4140/9999, Iter 206960: Loss = 0.013238276354968548, lr = [5e-05] +[2024-05-20 17:33:29,149] - INFO: Epoch 4140/9999, Iter 206980: Loss = 0.015346319414675236, lr = [5e-05] +[2024-05-20 17:33:54,993] - INFO: Evaluate at epoch 4140! +[2024-05-20 17:33:59,062] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 17:33:59,062] - INFO: Eval PSNR (current): 37.954 (4140) SSIM (current): 0.9607 (4140) +[2024-05-20 17:33:59,062] - INFO: Evaluation over. +[2024-05-20 17:34:03,446] - INFO: Epoch 4141/9999, Iter 207000: Loss = 0.015700846910476685, lr = [5e-05] +[2024-05-20 17:34:30,535] - INFO: Epoch 4141/9999, Iter 207020: Loss = 0.016296345740556717, lr = [5e-05] +[2024-05-20 17:34:58,011] - INFO: Epoch 4141/9999, Iter 207040: Loss = 0.013926597312092781, lr = [5e-05] +[2024-05-20 17:35:27,516] - INFO: Epoch 4142/9999, Iter 207060: Loss = 0.015904245898127556, lr = [5e-05] +[2024-05-20 17:35:55,083] - INFO: Epoch 4142/9999, Iter 207080: Loss = 0.013494866900146008, lr = [5e-05] +[2024-05-20 17:36:24,771] - INFO: Epoch 4143/9999, Iter 207100: Loss = 0.013007042929530144, lr = [5e-05] +[2024-05-20 17:36:52,842] - INFO: Epoch 4143/9999, Iter 207120: Loss = 0.019472548738121986, lr = [5e-05] +[2024-05-20 17:37:20,643] - INFO: Epoch 4143/9999, Iter 207140: Loss = 0.010471932590007782, lr = [5e-05] +[2024-05-20 17:37:49,931] - INFO: Epoch 4144/9999, Iter 207160: Loss = 0.009991120547056198, lr = [5e-05] +[2024-05-20 17:38:17,920] - INFO: Epoch 4144/9999, Iter 207180: Loss = 0.011442865245044231, lr = [5e-05] +[2024-05-20 17:38:46,159] - INFO: Epoch 4145/9999, Iter 207200: Loss = 0.011060829274356365, lr = [5e-05] +[2024-05-20 17:39:13,939] - INFO: Epoch 4145/9999, Iter 207220: Loss = 0.018659360706806183, lr = [5e-05] +[2024-05-20 17:39:40,590] - INFO: Epoch 4145/9999, Iter 207240: Loss = 0.01033832598477602, lr = [5e-05] +[2024-05-20 17:39:53,082] - INFO: Evaluate at epoch 4145! +[2024-05-20 17:39:57,152] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 17:39:57,152] - INFO: Eval PSNR (current): 37.982 (4145) SSIM (current): 0.9608 (4145) +[2024-05-20 17:39:57,152] - INFO: Evaluation over. +[2024-05-20 17:40:15,919] - INFO: Epoch 4146/9999, Iter 207260: Loss = 0.012166524305939674, lr = [5e-05] +[2024-05-20 17:40:43,827] - INFO: Epoch 4146/9999, Iter 207280: Loss = 0.012326792813837528, lr = [5e-05] +[2024-05-20 17:41:12,831] - INFO: Epoch 4147/9999, Iter 207300: Loss = 0.009746399708092213, lr = [5e-05] +[2024-05-20 17:41:39,359] - INFO: Epoch 4147/9999, Iter 207320: Loss = 0.01814972795546055, lr = [5e-05] +[2024-05-20 17:42:07,819] - INFO: Epoch 4147/9999, Iter 207340: Loss = 0.016450583934783936, lr = [5e-05] +[2024-05-20 17:42:36,655] - INFO: Epoch 4148/9999, Iter 207360: Loss = 0.01109310518950224, lr = [5e-05] +[2024-05-20 17:43:05,346] - INFO: Epoch 4148/9999, Iter 207380: Loss = 0.00999475084245205, lr = [5e-05] +[2024-05-20 17:43:34,511] - INFO: Epoch 4149/9999, Iter 207400: Loss = 0.007576158735901117, lr = [5e-05] +[2024-05-20 17:44:01,591] - INFO: Epoch 4149/9999, Iter 207420: Loss = 0.012831592001020908, lr = [5e-05] +[2024-05-20 17:44:29,299] - INFO: Epoch 4149/9999, Iter 207440: Loss = 0.00960003212094307, lr = [5e-05] +[2024-05-20 17:44:58,463] - INFO: Epoch 4150/9999, Iter 207460: Loss = 0.013689274899661541, lr = [5e-05] +[2024-05-20 17:45:26,902] - INFO: Epoch 4150/9999, Iter 207480: Loss = 0.014080414548516273, lr = [5e-05] +[2024-05-20 17:45:52,598] - INFO: Evaluate at epoch 4150! +[2024-05-20 17:45:56,667] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 17:45:56,668] - INFO: Eval PSNR (current): 37.978 (4150) SSIM (current): 0.9608 (4150) +[2024-05-20 17:45:56,668] - INFO: Evaluation over. +[2024-05-20 17:46:01,374] - INFO: Epoch 4151/9999, Iter 207500: Loss = 0.010632021352648735, lr = [5e-05] +[2024-05-20 17:46:29,788] - INFO: Epoch 4151/9999, Iter 207520: Loss = 0.01952345110476017, lr = [5e-05] +[2024-05-20 17:46:58,109] - INFO: Epoch 4151/9999, Iter 207540: Loss = 0.012515688315033913, lr = [5e-05] +[2024-05-20 17:47:26,808] - INFO: Epoch 4152/9999, Iter 207560: Loss = 0.013487455435097218, lr = [5e-05] +[2024-05-20 17:47:54,059] - INFO: Epoch 4152/9999, Iter 207580: Loss = 0.010571504011750221, lr = [5e-05] +[2024-05-20 17:48:22,819] - INFO: Epoch 4153/9999, Iter 207600: Loss = 0.0074984109960496426, lr = [5e-05] +[2024-05-20 17:48:49,503] - INFO: Epoch 4153/9999, Iter 207620: Loss = 0.01157050859183073, lr = [5e-05] +[2024-05-20 17:49:16,883] - INFO: Epoch 4153/9999, Iter 207640: Loss = 0.008558101952075958, lr = [5e-05] +[2024-05-20 17:49:45,859] - INFO: Epoch 4154/9999, Iter 207660: Loss = 0.0075837853364646435, lr = [5e-05] +[2024-05-20 17:50:14,207] - INFO: Epoch 4154/9999, Iter 207680: Loss = 0.012369235046207905, lr = [5e-05] +[2024-05-20 17:50:43,503] - INFO: Epoch 4155/9999, Iter 207700: Loss = 0.012541674077510834, lr = [5e-05] +[2024-05-20 17:51:11,443] - INFO: Epoch 4155/9999, Iter 207720: Loss = 0.013616944663226604, lr = [5e-05] +[2024-05-20 17:51:39,063] - INFO: Epoch 4155/9999, Iter 207740: Loss = 0.009664439596235752, lr = [5e-05] +[2024-05-20 17:51:51,650] - INFO: Evaluate at epoch 4155! +[2024-05-20 17:51:55,725] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 17:51:55,725] - INFO: Eval PSNR (current): 37.982 (4155) SSIM (current): 0.9607 (4155) +[2024-05-20 17:51:55,725] - INFO: Evaluation over. +[2024-05-20 17:52:13,403] - INFO: Epoch 4156/9999, Iter 207760: Loss = 0.013200352899730206, lr = [5e-05] +[2024-05-20 17:52:39,855] - INFO: Epoch 4156/9999, Iter 207780: Loss = 0.0103840921074152, lr = [5e-05] +[2024-05-20 17:53:09,547] - INFO: Epoch 4157/9999, Iter 207800: Loss = 0.010695764794945717, lr = [5e-05] +[2024-05-20 17:53:36,963] - INFO: Epoch 4157/9999, Iter 207820: Loss = 0.014700675383210182, lr = [5e-05] +[2024-05-20 17:54:05,474] - INFO: Epoch 4157/9999, Iter 207840: Loss = 0.012163618579506874, lr = [5e-05] +[2024-05-20 17:54:34,683] - INFO: Epoch 4158/9999, Iter 207860: Loss = 0.015129120089113712, lr = [5e-05] +[2024-05-20 17:55:02,306] - INFO: Epoch 4158/9999, Iter 207880: Loss = 0.022943928837776184, lr = [5e-05] +[2024-05-20 17:55:31,269] - INFO: Epoch 4159/9999, Iter 207900: Loss = 0.010987012647092342, lr = [5e-05] +[2024-05-20 17:55:59,975] - INFO: Epoch 4159/9999, Iter 207920: Loss = 0.010813289321959019, lr = [5e-05] +[2024-05-20 17:56:28,226] - INFO: Epoch 4159/9999, Iter 207940: Loss = 0.011149130761623383, lr = [5e-05] +[2024-05-20 17:56:56,283] - INFO: Epoch 4160/9999, Iter 207960: Loss = 0.011784529313445091, lr = [5e-05] +[2024-05-20 17:57:22,783] - INFO: Epoch 4160/9999, Iter 207980: Loss = 0.013306330889463425, lr = [5e-05] +[2024-05-20 17:57:49,829] - INFO: Evaluate at epoch 4160! +[2024-05-20 17:57:53,906] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 17:57:53,906] - INFO: Eval PSNR (current): 37.958 (4160) SSIM (current): 0.9607 (4160) +[2024-05-20 17:57:53,906] - INFO: Evaluation over. +[2024-05-20 17:57:58,128] - INFO: Epoch 4161/9999, Iter 208000: Loss = 0.011343084275722504, lr = [5e-05] +[2024-05-20 17:58:25,400] - INFO: Epoch 4161/9999, Iter 208020: Loss = 0.007259299047291279, lr = [5e-05] +[2024-05-20 17:58:53,674] - INFO: Epoch 4161/9999, Iter 208040: Loss = 0.02232213132083416, lr = [5e-05] +[2024-05-20 17:59:23,379] - INFO: Epoch 4162/9999, Iter 208060: Loss = 0.015598197467625141, lr = [5e-05] +[2024-05-20 17:59:50,704] - INFO: Epoch 4162/9999, Iter 208080: Loss = 0.015079192817211151, lr = [5e-05] +[2024-05-20 18:00:19,054] - INFO: Epoch 4163/9999, Iter 208100: Loss = 0.016800787299871445, lr = [5e-05] +[2024-05-20 18:00:47,237] - INFO: Epoch 4163/9999, Iter 208120: Loss = 0.012122826650738716, lr = [5e-05] +[2024-05-20 18:01:14,543] - INFO: Epoch 4163/9999, Iter 208140: Loss = 0.008534838445484638, lr = [5e-05] +[2024-05-20 18:01:43,955] - INFO: Epoch 4164/9999, Iter 208160: Loss = 0.012727147899568081, lr = [5e-05] +[2024-05-20 18:02:11,743] - INFO: Epoch 4164/9999, Iter 208180: Loss = 0.014243347570300102, lr = [5e-05] +[2024-05-20 18:02:40,311] - INFO: Epoch 4165/9999, Iter 208200: Loss = 0.015473907813429832, lr = [5e-05] +[2024-05-20 18:03:07,839] - INFO: Epoch 4165/9999, Iter 208220: Loss = 0.012112051248550415, lr = [5e-05] +[2024-05-20 18:03:35,469] - INFO: Epoch 4165/9999, Iter 208240: Loss = 0.015083890408277512, lr = [5e-05] +[2024-05-20 18:03:47,986] - INFO: Evaluate at epoch 4165! +[2024-05-20 18:03:52,063] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 18:03:52,063] - INFO: Eval PSNR (current): 37.944 (4165) SSIM (current): 0.9609 (4165) +[2024-05-20 18:03:52,063] - INFO: Evaluation over. +[2024-05-20 18:04:10,563] - INFO: Epoch 4166/9999, Iter 208260: Loss = 0.009180386550724506, lr = [5e-05] +[2024-05-20 18:04:37,382] - INFO: Epoch 4166/9999, Iter 208280: Loss = 0.010014962404966354, lr = [5e-05] +[2024-05-20 18:05:05,859] - INFO: Epoch 4167/9999, Iter 208300: Loss = 0.007035043556243181, lr = [5e-05] +[2024-05-20 18:05:34,121] - INFO: Epoch 4167/9999, Iter 208320: Loss = 0.017211755737662315, lr = [5e-05] +[2024-05-20 18:06:01,725] - INFO: Epoch 4167/9999, Iter 208340: Loss = 0.013321571983397007, lr = [5e-05] +[2024-05-20 18:06:31,599] - INFO: Epoch 4168/9999, Iter 208360: Loss = 0.011941738426685333, lr = [5e-05] +[2024-05-20 18:06:59,378] - INFO: Epoch 4168/9999, Iter 208380: Loss = 0.011750742793083191, lr = [5e-05] +[2024-05-20 18:07:28,611] - INFO: Epoch 4169/9999, Iter 208400: Loss = 0.009857842698693275, lr = [5e-05] +[2024-05-20 18:07:55,659] - INFO: Epoch 4169/9999, Iter 208420: Loss = 0.017514554783701897, lr = [5e-05] +[2024-05-20 18:08:22,840] - INFO: Epoch 4169/9999, Iter 208440: Loss = 0.01482736598700285, lr = [5e-05] +[2024-05-20 18:08:51,866] - INFO: Epoch 4170/9999, Iter 208460: Loss = 0.01534272264689207, lr = [5e-05] +[2024-05-20 18:09:19,152] - INFO: Epoch 4170/9999, Iter 208480: Loss = 0.014048375189304352, lr = [5e-05] +[2024-05-20 18:09:45,363] - INFO: Evaluate at epoch 4170! +[2024-05-20 18:09:49,433] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 18:09:49,433] - INFO: Eval PSNR (current): 37.964 (4170) SSIM (current): 0.9607 (4170) +[2024-05-20 18:09:49,433] - INFO: Evaluation over. +[2024-05-20 18:09:54,002] - INFO: Epoch 4171/9999, Iter 208500: Loss = 0.012770995497703552, lr = [5e-05] +[2024-05-20 18:10:21,822] - INFO: Epoch 4171/9999, Iter 208520: Loss = 0.013053066097199917, lr = [5e-05] +[2024-05-20 18:10:50,278] - INFO: Epoch 4171/9999, Iter 208540: Loss = 0.012432334944605827, lr = [5e-05] +[2024-05-20 18:11:19,267] - INFO: Epoch 4172/9999, Iter 208560: Loss = 0.010882401838898659, lr = [5e-05] +[2024-05-20 18:11:45,943] - INFO: Epoch 4172/9999, Iter 208580: Loss = 0.011837747879326344, lr = [5e-05] +[2024-05-20 18:12:14,791] - INFO: Epoch 4173/9999, Iter 208600: Loss = 0.011624178849160671, lr = [5e-05] +[2024-05-20 18:12:42,887] - INFO: Epoch 4173/9999, Iter 208620: Loss = 0.017918135970830917, lr = [5e-05] +[2024-05-20 18:13:10,779] - INFO: Epoch 4173/9999, Iter 208640: Loss = 0.014487153850495815, lr = [5e-05] +[2024-05-20 18:13:39,853] - INFO: Epoch 4174/9999, Iter 208660: Loss = 0.012404803186655045, lr = [5e-05] +[2024-05-20 18:14:08,551] - INFO: Epoch 4174/9999, Iter 208680: Loss = 0.01877775974571705, lr = [5e-05] +[2024-05-20 18:14:36,691] - INFO: Epoch 4175/9999, Iter 208700: Loss = 0.013319331221282482, lr = [5e-05] +[2024-05-20 18:15:04,443] - INFO: Epoch 4175/9999, Iter 208720: Loss = 0.013100111857056618, lr = [5e-05] +[2024-05-20 18:15:32,554] - INFO: Epoch 4175/9999, Iter 208740: Loss = 0.012588460929691792, lr = [5e-05] +[2024-05-20 18:15:44,859] - INFO: Evaluate at epoch 4175! +[2024-05-20 18:15:48,938] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 18:15:48,939] - INFO: Eval PSNR (current): 37.945 (4175) SSIM (current): 0.9607 (4175) +[2024-05-20 18:15:48,939] - INFO: Evaluation over. +[2024-05-20 18:16:07,348] - INFO: Epoch 4176/9999, Iter 208760: Loss = 0.009331422857940197, lr = [5e-05] +[2024-05-20 18:16:35,813] - INFO: Epoch 4176/9999, Iter 208780: Loss = 0.013345934450626373, lr = [5e-05] +[2024-05-20 18:17:04,746] - INFO: Epoch 4177/9999, Iter 208800: Loss = 0.010237413458526134, lr = [5e-05] +[2024-05-20 18:17:33,503] - INFO: Epoch 4177/9999, Iter 208820: Loss = 0.011210319586098194, lr = [5e-05] +[2024-05-20 18:18:01,415] - INFO: Epoch 4177/9999, Iter 208840: Loss = 0.014292718842625618, lr = [5e-05] +[2024-05-20 18:18:30,203] - INFO: Epoch 4178/9999, Iter 208860: Loss = 0.014481896534562111, lr = [5e-05] +[2024-05-20 18:18:58,075] - INFO: Epoch 4178/9999, Iter 208880: Loss = 0.010579468682408333, lr = [5e-05] +[2024-05-20 18:19:27,262] - INFO: Epoch 4179/9999, Iter 208900: Loss = 0.016246020793914795, lr = [5e-05] +[2024-05-20 18:19:54,647] - INFO: Epoch 4179/9999, Iter 208920: Loss = 0.011931115761399269, lr = [5e-05] +[2024-05-20 18:20:21,967] - INFO: Epoch 4179/9999, Iter 208940: Loss = 0.014790315181016922, lr = [5e-05] +[2024-05-20 18:20:51,354] - INFO: Epoch 4180/9999, Iter 208960: Loss = 0.013792376033961773, lr = [5e-05] +[2024-05-20 18:21:19,171] - INFO: Epoch 4180/9999, Iter 208980: Loss = 0.01273241825401783, lr = [5e-05] +[2024-05-20 18:21:44,999] - INFO: Evaluate at epoch 4180! +[2024-05-20 18:21:49,072] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 18:21:49,072] - INFO: Eval PSNR (current): 37.975 (4180) SSIM (current): 0.9607 (4180) +[2024-05-20 18:21:49,072] - INFO: Evaluation over. +[2024-05-20 18:21:53,891] - INFO: Epoch 4181/9999, Iter 209000: Loss = 0.008815002627670765, lr = [5e-05] +[2024-05-20 18:22:22,295] - INFO: Epoch 4181/9999, Iter 209020: Loss = 0.016904739663004875, lr = [5e-05] +[2024-05-20 18:22:50,143] - INFO: Epoch 4181/9999, Iter 209040: Loss = 0.015953004360198975, lr = [5e-05] +[2024-05-20 18:23:18,271] - INFO: Epoch 4182/9999, Iter 209060: Loss = 0.009416241198778152, lr = [5e-05] +[2024-05-20 18:23:46,123] - INFO: Epoch 4182/9999, Iter 209080: Loss = 0.010486030019819736, lr = [5e-05] +[2024-05-20 18:24:15,168] - INFO: Epoch 4183/9999, Iter 209100: Loss = 0.009424269199371338, lr = [5e-05] +[2024-05-20 18:24:42,219] - INFO: Epoch 4183/9999, Iter 209120: Loss = 0.010981427505612373, lr = [5e-05] +[2024-05-20 18:25:10,146] - INFO: Epoch 4183/9999, Iter 209140: Loss = 0.014711830765008926, lr = [5e-05] +[2024-05-20 18:25:39,171] - INFO: Epoch 4184/9999, Iter 209160: Loss = 0.011536617763340473, lr = [5e-05] +[2024-05-20 18:26:06,174] - INFO: Epoch 4184/9999, Iter 209180: Loss = 0.013542122207581997, lr = [5e-05] +[2024-05-20 18:26:35,703] - INFO: Epoch 4185/9999, Iter 209200: Loss = 0.008199937641620636, lr = [5e-05] +[2024-05-20 18:27:03,284] - INFO: Epoch 4185/9999, Iter 209220: Loss = 0.016422327607870102, lr = [5e-05] +[2024-05-20 18:27:31,671] - INFO: Epoch 4185/9999, Iter 209240: Loss = 0.013756957836449146, lr = [5e-05] +[2024-05-20 18:27:43,788] - INFO: Evaluate at epoch 4185! +[2024-05-20 18:27:47,858] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 18:27:47,859] - INFO: Eval PSNR (current): 37.966 (4185) SSIM (current): 0.9607 (4185) +[2024-05-20 18:27:47,859] - INFO: Evaluation over. +[2024-05-20 18:28:05,999] - INFO: Epoch 4186/9999, Iter 209260: Loss = 0.009752859361469746, lr = [5e-05] +[2024-05-20 18:28:33,514] - INFO: Epoch 4186/9999, Iter 209280: Loss = 0.014148889109492302, lr = [5e-05] +[2024-05-20 18:29:01,875] - INFO: Epoch 4187/9999, Iter 209300: Loss = 0.010306631214916706, lr = [5e-05] +[2024-05-20 18:29:29,071] - INFO: Epoch 4187/9999, Iter 209320: Loss = 0.012796006165444851, lr = [5e-05] +[2024-05-20 18:29:57,438] - INFO: Epoch 4187/9999, Iter 209340: Loss = 0.009086129255592823, lr = [5e-05] +[2024-05-20 18:30:25,044] - INFO: Epoch 4188/9999, Iter 209360: Loss = 0.01708431914448738, lr = [5e-05] +[2024-05-20 18:30:52,339] - INFO: Epoch 4188/9999, Iter 209380: Loss = 0.00850330013781786, lr = [5e-05] +[2024-05-20 18:31:21,502] - INFO: Epoch 4189/9999, Iter 209400: Loss = 0.010135290212929249, lr = [5e-05] +[2024-05-20 18:31:49,303] - INFO: Epoch 4189/9999, Iter 209420: Loss = 0.007942973636090755, lr = [5e-05] +[2024-05-20 18:32:18,096] - INFO: Epoch 4189/9999, Iter 209440: Loss = 0.016142219305038452, lr = [5e-05] +[2024-05-20 18:32:47,480] - INFO: Epoch 4190/9999, Iter 209460: Loss = 0.016666939482092857, lr = [5e-05] +[2024-05-20 18:33:14,699] - INFO: Epoch 4190/9999, Iter 209480: Loss = 0.011330921202898026, lr = [5e-05] +[2024-05-20 18:33:40,251] - INFO: Evaluate at epoch 4190! +[2024-05-20 18:33:44,325] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 18:33:44,325] - INFO: Eval PSNR (current): 37.957 (4190) SSIM (current): 0.9608 (4190) +[2024-05-20 18:33:44,325] - INFO: Evaluation over. +[2024-05-20 18:33:48,795] - INFO: Epoch 4191/9999, Iter 209500: Loss = 0.015574291348457336, lr = [5e-05] +[2024-05-20 18:34:17,527] - INFO: Epoch 4191/9999, Iter 209520: Loss = 0.012500379234552383, lr = [5e-05] +[2024-05-20 18:34:44,919] - INFO: Epoch 4191/9999, Iter 209540: Loss = 0.01054165419191122, lr = [5e-05] +[2024-05-20 18:35:14,351] - INFO: Epoch 4192/9999, Iter 209560: Loss = 0.009976955130696297, lr = [5e-05] +[2024-05-20 18:35:42,196] - INFO: Epoch 4192/9999, Iter 209580: Loss = 0.015230881050229073, lr = [5e-05] +[2024-05-20 18:36:11,198] - INFO: Epoch 4193/9999, Iter 209600: Loss = 0.010601935908198357, lr = [5e-05] +[2024-05-20 18:36:40,111] - INFO: Epoch 4193/9999, Iter 209620: Loss = 0.012185726314783096, lr = [5e-05] +[2024-05-20 18:37:07,283] - INFO: Epoch 4193/9999, Iter 209640: Loss = 0.01006706990301609, lr = [5e-05] +[2024-05-20 18:37:36,603] - INFO: Epoch 4194/9999, Iter 209660: Loss = 0.021369539201259613, lr = [5e-05] +[2024-05-20 18:38:04,487] - INFO: Epoch 4194/9999, Iter 209680: Loss = 0.012920055538415909, lr = [5e-05] +[2024-05-20 18:38:33,575] - INFO: Epoch 4195/9999, Iter 209700: Loss = 0.017303621396422386, lr = [5e-05] +[2024-05-20 18:39:01,426] - INFO: Epoch 4195/9999, Iter 209720: Loss = 0.015791602432727814, lr = [5e-05] +[2024-05-20 18:39:29,535] - INFO: Epoch 4195/9999, Iter 209740: Loss = 0.01734067313373089, lr = [5e-05] +[2024-05-20 18:39:41,604] - INFO: Evaluate at epoch 4195! +[2024-05-20 18:39:45,693] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 18:39:45,693] - INFO: Eval PSNR (current): 37.998 (4195) SSIM (current): 0.9608 (4195) +[2024-05-20 18:39:45,693] - INFO: Evaluation over. +[2024-05-20 18:40:04,031] - INFO: Epoch 4196/9999, Iter 209760: Loss = 0.008679116144776344, lr = [5e-05] +[2024-05-20 18:40:31,085] - INFO: Epoch 4196/9999, Iter 209780: Loss = 0.018767081201076508, lr = [5e-05] +[2024-05-20 18:41:00,707] - INFO: Epoch 4197/9999, Iter 209800: Loss = 0.012628007680177689, lr = [5e-05] +[2024-05-20 18:41:28,460] - INFO: Epoch 4197/9999, Iter 209820: Loss = 0.012421946041285992, lr = [5e-05] +[2024-05-20 18:41:56,579] - INFO: Epoch 4197/9999, Iter 209840: Loss = 0.009676487185060978, lr = [5e-05] +[2024-05-20 18:42:25,583] - INFO: Epoch 4198/9999, Iter 209860: Loss = 0.014080253429710865, lr = [5e-05] +[2024-05-20 18:42:52,419] - INFO: Epoch 4198/9999, Iter 209880: Loss = 0.015029889531433582, lr = [5e-05] +[2024-05-20 18:43:20,639] - INFO: Epoch 4199/9999, Iter 209900: Loss = 0.013397824950516224, lr = [5e-05] +[2024-05-20 18:43:49,213] - INFO: Epoch 4199/9999, Iter 209920: Loss = 0.013598082587122917, lr = [5e-05] +[2024-05-20 18:44:16,611] - INFO: Epoch 4199/9999, Iter 209940: Loss = 0.01502459216862917, lr = [5e-05] +[2024-05-20 18:44:45,600] - INFO: Epoch 4200/9999, Iter 209960: Loss = 0.008694946765899658, lr = [5e-05] +[2024-05-20 18:45:14,048] - INFO: Epoch 4200/9999, Iter 209980: Loss = 0.013671097345650196, lr = [5e-05] +[2024-05-20 18:45:40,002] - INFO: Evaluate at epoch 4200! +[2024-05-20 18:45:44,070] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 18:45:44,071] - INFO: Eval PSNR (current): 37.943 (4200) SSIM (current): 0.9606 (4200) +[2024-05-20 18:45:44,071] - INFO: Evaluation over. +[2024-05-20 18:45:48,223] - INFO: Epoch 4201/9999, Iter 210000: Loss = 0.010861660353839397, lr = [5e-05] +[2024-05-20 18:46:16,402] - INFO: Epoch 4201/9999, Iter 210020: Loss = 0.011293118819594383, lr = [5e-05] +[2024-05-20 18:46:42,547] - INFO: Epoch 4201/9999, Iter 210040: Loss = 0.012794027104973793, lr = [5e-05] +[2024-05-20 18:47:11,284] - INFO: Epoch 4202/9999, Iter 210060: Loss = 0.01851220801472664, lr = [5e-05] +[2024-05-20 18:47:38,410] - INFO: Epoch 4202/9999, Iter 210080: Loss = 0.01249145157635212, lr = [5e-05] +[2024-05-20 18:48:06,846] - INFO: Epoch 4203/9999, Iter 210100: Loss = 0.016101278364658356, lr = [5e-05] +[2024-05-20 18:48:34,971] - INFO: Epoch 4203/9999, Iter 210120: Loss = 0.015869243070483208, lr = [5e-05] +[2024-05-20 18:49:02,475] - INFO: Epoch 4203/9999, Iter 210140: Loss = 0.014716744422912598, lr = [5e-05] +[2024-05-20 18:49:31,123] - INFO: Epoch 4204/9999, Iter 210160: Loss = 0.0073757776990532875, lr = [5e-05] +[2024-05-20 18:49:58,555] - INFO: Epoch 4204/9999, Iter 210180: Loss = 0.01378975436091423, lr = [5e-05] +[2024-05-20 18:50:27,518] - INFO: Epoch 4205/9999, Iter 210200: Loss = 0.014897376298904419, lr = [5e-05] +[2024-05-20 18:50:53,713] - INFO: Epoch 4205/9999, Iter 210220: Loss = 0.017950307577848434, lr = [5e-05] +[2024-05-20 18:51:21,659] - INFO: Epoch 4205/9999, Iter 210240: Loss = 0.014027643948793411, lr = [5e-05] +[2024-05-20 18:51:34,076] - INFO: Evaluate at epoch 4205! +[2024-05-20 18:51:38,144] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 18:51:38,144] - INFO: Eval PSNR (current): 37.954 (4205) SSIM (current): 0.9607 (4205) +[2024-05-20 18:51:38,144] - INFO: Evaluation over. +[2024-05-20 18:51:56,188] - INFO: Epoch 4206/9999, Iter 210260: Loss = 0.013254732824862003, lr = [5e-05] +[2024-05-20 18:52:24,257] - INFO: Epoch 4206/9999, Iter 210280: Loss = 0.014850826002657413, lr = [5e-05] +[2024-05-20 18:52:52,820] - INFO: Epoch 4207/9999, Iter 210300: Loss = 0.011039504781365395, lr = [5e-05] +[2024-05-20 18:53:20,256] - INFO: Epoch 4207/9999, Iter 210320: Loss = 0.01489628478884697, lr = [5e-05] +[2024-05-20 18:53:47,630] - INFO: Epoch 4207/9999, Iter 210340: Loss = 0.011818616650998592, lr = [5e-05] +[2024-05-20 18:54:16,123] - INFO: Epoch 4208/9999, Iter 210360: Loss = 0.011770589277148247, lr = [5e-05] +[2024-05-20 18:54:43,695] - INFO: Epoch 4208/9999, Iter 210380: Loss = 0.01768655888736248, lr = [5e-05] +[2024-05-20 18:55:13,173] - INFO: Epoch 4209/9999, Iter 210400: Loss = 0.013651884160935879, lr = [5e-05] +[2024-05-20 18:55:41,367] - INFO: Epoch 4209/9999, Iter 210420: Loss = 0.014702020213007927, lr = [5e-05] +[2024-05-20 18:56:09,484] - INFO: Epoch 4209/9999, Iter 210440: Loss = 0.010899240151047707, lr = [5e-05] +[2024-05-20 18:56:38,061] - INFO: Epoch 4210/9999, Iter 210460: Loss = 0.013458088971674442, lr = [5e-05] +[2024-05-20 18:57:05,505] - INFO: Epoch 4210/9999, Iter 210480: Loss = 0.015570647083222866, lr = [5e-05] +[2024-05-20 18:57:32,056] - INFO: Evaluate at epoch 4210! +[2024-05-20 18:57:36,254] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 18:57:36,254] - INFO: Eval PSNR (current): 37.983 (4210) SSIM (current): 0.9607 (4210) +[2024-05-20 18:57:36,254] - INFO: Evaluation over. +[2024-05-20 18:57:40,668] - INFO: Epoch 4211/9999, Iter 210500: Loss = 0.01566716469824314, lr = [5e-05] +[2024-05-20 18:58:08,677] - INFO: Epoch 4211/9999, Iter 210520: Loss = 0.010644917376339436, lr = [5e-05] +[2024-05-20 18:58:37,239] - INFO: Epoch 4211/9999, Iter 210540: Loss = 0.01934017986059189, lr = [5e-05] +[2024-05-20 18:59:05,707] - INFO: Epoch 4212/9999, Iter 210560: Loss = 0.01740289106965065, lr = [5e-05] +[2024-05-20 18:59:33,628] - INFO: Epoch 4212/9999, Iter 210580: Loss = 0.01164200808852911, lr = [5e-05] +[2024-05-20 19:00:02,519] - INFO: Epoch 4213/9999, Iter 210600: Loss = 0.01028670184314251, lr = [5e-05] +[2024-05-20 19:00:30,047] - INFO: Epoch 4213/9999, Iter 210620: Loss = 0.011537536047399044, lr = [5e-05] +[2024-05-20 19:00:57,383] - INFO: Epoch 4213/9999, Iter 210640: Loss = 0.014509684406220913, lr = [5e-05] +[2024-05-20 19:01:26,751] - INFO: Epoch 4214/9999, Iter 210660: Loss = 0.011013759300112724, lr = [5e-05] +[2024-05-20 19:01:54,950] - INFO: Epoch 4214/9999, Iter 210680: Loss = 0.011854538694024086, lr = [5e-05] +[2024-05-20 19:02:23,350] - INFO: Epoch 4215/9999, Iter 210700: Loss = 0.013377946801483631, lr = [5e-05] +[2024-05-20 19:02:51,764] - INFO: Epoch 4215/9999, Iter 210720: Loss = 0.00811177957803011, lr = [5e-05] +[2024-05-20 19:03:19,747] - INFO: Epoch 4215/9999, Iter 210740: Loss = 0.015068233013153076, lr = [5e-05] +[2024-05-20 19:03:31,546] - INFO: Evaluate at epoch 4215! +[2024-05-20 19:03:35,616] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 19:03:35,616] - INFO: Eval PSNR (current): 37.960 (4215) SSIM (current): 0.9608 (4215) +[2024-05-20 19:03:35,616] - INFO: Evaluation over. +[2024-05-20 19:03:53,550] - INFO: Epoch 4216/9999, Iter 210760: Loss = 0.014796488918364048, lr = [5e-05] +[2024-05-20 19:04:22,055] - INFO: Epoch 4216/9999, Iter 210780: Loss = 0.015275966376066208, lr = [5e-05] +[2024-05-20 19:04:50,911] - INFO: Epoch 4217/9999, Iter 210800: Loss = 0.00883016362786293, lr = [5e-05] +[2024-05-20 19:05:19,552] - INFO: Epoch 4217/9999, Iter 210820: Loss = 0.011670170351862907, lr = [5e-05] +[2024-05-20 19:05:46,962] - INFO: Epoch 4217/9999, Iter 210840: Loss = 0.011915307492017746, lr = [5e-05] +[2024-05-20 19:06:15,614] - INFO: Epoch 4218/9999, Iter 210860: Loss = 0.013142036274075508, lr = [5e-05] +[2024-05-20 19:06:43,186] - INFO: Epoch 4218/9999, Iter 210880: Loss = 0.010928893461823463, lr = [5e-05] +[2024-05-20 19:07:12,123] - INFO: Epoch 4219/9999, Iter 210900: Loss = 0.013496247120201588, lr = [5e-05] +[2024-05-20 19:07:38,977] - INFO: Epoch 4219/9999, Iter 210920: Loss = 0.014043516479432583, lr = [5e-05] +[2024-05-20 19:08:06,727] - INFO: Epoch 4219/9999, Iter 210940: Loss = 0.011106458492577076, lr = [5e-05] +[2024-05-20 19:08:35,344] - INFO: Epoch 4220/9999, Iter 210960: Loss = 0.015298007056117058, lr = [5e-05] +[2024-05-20 19:09:02,928] - INFO: Epoch 4220/9999, Iter 210980: Loss = 0.008681351318955421, lr = [5e-05] +[2024-05-20 19:09:29,219] - INFO: Evaluate at epoch 4220! +[2024-05-20 19:09:33,290] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 19:09:33,290] - INFO: Eval PSNR (current): 37.936 (4220) SSIM (current): 0.9607 (4220) +[2024-05-20 19:09:33,290] - INFO: Evaluation over. +[2024-05-20 19:09:37,691] - INFO: Epoch 4221/9999, Iter 211000: Loss = 0.011344932951033115, lr = [5e-05] +[2024-05-20 19:10:04,879] - INFO: Epoch 4221/9999, Iter 211020: Loss = 0.01373403612524271, lr = [5e-05] +[2024-05-20 19:10:32,077] - INFO: Epoch 4221/9999, Iter 211040: Loss = 0.014400744810700417, lr = [5e-05] +[2024-05-20 19:11:01,619] - INFO: Epoch 4222/9999, Iter 211060: Loss = 0.013156945817172527, lr = [5e-05] +[2024-05-20 19:11:28,983] - INFO: Epoch 4222/9999, Iter 211080: Loss = 0.013000207021832466, lr = [5e-05] +[2024-05-20 19:11:58,075] - INFO: Epoch 4223/9999, Iter 211100: Loss = 0.010246467776596546, lr = [5e-05] +[2024-05-20 19:12:25,875] - INFO: Epoch 4223/9999, Iter 211120: Loss = 0.016455061733722687, lr = [5e-05] +[2024-05-20 19:12:54,776] - INFO: Epoch 4223/9999, Iter 211140: Loss = 0.009385468438267708, lr = [5e-05] +[2024-05-20 19:13:23,869] - INFO: Epoch 4224/9999, Iter 211160: Loss = 0.011290245689451694, lr = [5e-05] +[2024-05-20 19:13:51,212] - INFO: Epoch 4224/9999, Iter 211180: Loss = 0.009425763972103596, lr = [5e-05] +[2024-05-20 19:14:19,603] - INFO: Epoch 4225/9999, Iter 211200: Loss = 0.01387819740921259, lr = [5e-05] +[2024-05-20 19:14:47,413] - INFO: Epoch 4225/9999, Iter 211220: Loss = 0.010510285384953022, lr = [5e-05] +[2024-05-20 19:15:15,797] - INFO: Epoch 4225/9999, Iter 211240: Loss = 0.012883350253105164, lr = [5e-05] +[2024-05-20 19:15:28,176] - INFO: Evaluate at epoch 4225! +[2024-05-20 19:15:32,247] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 19:15:32,247] - INFO: Eval PSNR (current): 37.956 (4225) SSIM (current): 0.9608 (4225) +[2024-05-20 19:15:32,247] - INFO: Evaluation over. +[2024-05-20 19:15:50,847] - INFO: Epoch 4226/9999, Iter 211260: Loss = 0.012947470881044865, lr = [5e-05] +[2024-05-20 19:16:18,537] - INFO: Epoch 4226/9999, Iter 211280: Loss = 0.012340611778199673, lr = [5e-05] +[2024-05-20 19:16:47,459] - INFO: Epoch 4227/9999, Iter 211300: Loss = 0.014976671896874905, lr = [5e-05] +[2024-05-20 19:17:14,819] - INFO: Epoch 4227/9999, Iter 211320: Loss = 0.01127688493579626, lr = [5e-05] +[2024-05-20 19:17:42,296] - INFO: Epoch 4227/9999, Iter 211340: Loss = 0.010438883677124977, lr = [5e-05] +[2024-05-20 19:18:11,723] - INFO: Epoch 4228/9999, Iter 211360: Loss = 0.009101344272494316, lr = [5e-05] +[2024-05-20 19:18:40,019] - INFO: Epoch 4228/9999, Iter 211380: Loss = 0.012990324757993221, lr = [5e-05] +[2024-05-20 19:19:08,875] - INFO: Epoch 4229/9999, Iter 211400: Loss = 0.015226859599351883, lr = [5e-05] +[2024-05-20 19:19:38,008] - INFO: Epoch 4229/9999, Iter 211420: Loss = 0.011413958854973316, lr = [5e-05] +[2024-05-20 19:20:05,273] - INFO: Epoch 4229/9999, Iter 211440: Loss = 0.008786399848759174, lr = [5e-05] +[2024-05-20 19:20:34,365] - INFO: Epoch 4230/9999, Iter 211460: Loss = 0.012054390273988247, lr = [5e-05] +[2024-05-20 19:21:02,722] - INFO: Epoch 4230/9999, Iter 211480: Loss = 0.015021562576293945, lr = [5e-05] +[2024-05-20 19:21:28,540] - INFO: Evaluate at epoch 4230! +[2024-05-20 19:21:32,617] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 19:21:32,617] - INFO: Eval PSNR (current): 37.978 (4230) SSIM (current): 0.9608 (4230) +[2024-05-20 19:21:32,617] - INFO: Evaluation over. +[2024-05-20 19:21:36,780] - INFO: Epoch 4231/9999, Iter 211500: Loss = 0.013506121002137661, lr = [5e-05] +[2024-05-20 19:22:04,709] - INFO: Epoch 4231/9999, Iter 211520: Loss = 0.010485325939953327, lr = [5e-05] +[2024-05-20 19:22:32,700] - INFO: Epoch 4231/9999, Iter 211540: Loss = 0.012277847155928612, lr = [5e-05] +[2024-05-20 19:23:00,615] - INFO: Epoch 4232/9999, Iter 211560: Loss = 0.022140322253108025, lr = [5e-05] +[2024-05-20 19:23:29,455] - INFO: Epoch 4232/9999, Iter 211580: Loss = 0.008851282298564911, lr = [5e-05] +[2024-05-20 19:23:58,228] - INFO: Epoch 4233/9999, Iter 211600: Loss = 0.012870152480900288, lr = [5e-05] +[2024-05-20 19:24:25,307] - INFO: Epoch 4233/9999, Iter 211620: Loss = 0.013818614184856415, lr = [5e-05] +[2024-05-20 19:24:52,750] - INFO: Epoch 4233/9999, Iter 211640: Loss = 0.010945969261229038, lr = [5e-05] +[2024-05-20 19:25:21,949] - INFO: Epoch 4234/9999, Iter 211660: Loss = 0.010474452748894691, lr = [5e-05] +[2024-05-20 19:25:50,702] - INFO: Epoch 4234/9999, Iter 211680: Loss = 0.007181153632700443, lr = [5e-05] +[2024-05-20 19:26:19,343] - INFO: Epoch 4235/9999, Iter 211700: Loss = 0.014077226631343365, lr = [5e-05] +[2024-05-20 19:26:48,021] - INFO: Epoch 4235/9999, Iter 211720: Loss = 0.017354078590869904, lr = [5e-05] +[2024-05-20 19:27:15,799] - INFO: Epoch 4235/9999, Iter 211740: Loss = 0.006882638204842806, lr = [5e-05] +[2024-05-20 19:27:27,969] - INFO: Evaluate at epoch 4235! +[2024-05-20 19:27:32,097] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 19:27:32,097] - INFO: Eval PSNR (current): 37.932 (4235) SSIM (current): 0.9606 (4235) +[2024-05-20 19:27:32,097] - INFO: Evaluation over. +[2024-05-20 19:27:51,055] - INFO: Epoch 4236/9999, Iter 211760: Loss = 0.009479508735239506, lr = [5e-05] +[2024-05-20 19:28:18,243] - INFO: Epoch 4236/9999, Iter 211780: Loss = 0.009394733235239983, lr = [5e-05] +[2024-05-20 19:28:47,409] - INFO: Epoch 4237/9999, Iter 211800: Loss = 0.015471745282411575, lr = [5e-05] +[2024-05-20 19:29:15,035] - INFO: Epoch 4237/9999, Iter 211820: Loss = 0.010653519071638584, lr = [5e-05] +[2024-05-20 19:29:43,063] - INFO: Epoch 4237/9999, Iter 211840: Loss = 0.011889623478055, lr = [5e-05] +[2024-05-20 19:30:12,202] - INFO: Epoch 4238/9999, Iter 211860: Loss = 0.01008866261690855, lr = [5e-05] +[2024-05-20 19:30:39,304] - INFO: Epoch 4238/9999, Iter 211880: Loss = 0.016575492918491364, lr = [5e-05] +[2024-05-20 19:31:08,897] - INFO: Epoch 4239/9999, Iter 211900: Loss = 0.013771784491837025, lr = [5e-05] +[2024-05-20 19:31:36,656] - INFO: Epoch 4239/9999, Iter 211920: Loss = 0.010865125805139542, lr = [5e-05] +[2024-05-20 19:32:04,378] - INFO: Epoch 4239/9999, Iter 211940: Loss = 0.012998330406844616, lr = [5e-05] +[2024-05-20 19:32:33,375] - INFO: Epoch 4240/9999, Iter 211960: Loss = 0.011974071152508259, lr = [5e-05] +[2024-05-20 19:33:02,013] - INFO: Epoch 4240/9999, Iter 211980: Loss = 0.013742543756961823, lr = [5e-05] +[2024-05-20 19:33:27,821] - INFO: Evaluate at epoch 4240! +[2024-05-20 19:33:31,949] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 19:33:31,949] - INFO: Eval PSNR (current): 37.933 (4240) SSIM (current): 0.9605 (4240) +[2024-05-20 19:33:31,949] - INFO: Evaluation over. +[2024-05-20 19:33:36,353] - INFO: Epoch 4241/9999, Iter 212000: Loss = 0.007575411349534988, lr = [5e-05] +[2024-05-20 19:34:04,627] - INFO: Epoch 4241/9999, Iter 212020: Loss = 0.009695040062069893, lr = [5e-05] +[2024-05-20 19:34:32,711] - INFO: Epoch 4241/9999, Iter 212040: Loss = 0.01203232817351818, lr = [5e-05] +[2024-05-20 19:35:00,911] - INFO: Epoch 4242/9999, Iter 212060: Loss = 0.013853535056114197, lr = [5e-05] +[2024-05-20 19:35:27,851] - INFO: Epoch 4242/9999, Iter 212080: Loss = 0.01777556911110878, lr = [5e-05] +[2024-05-20 19:35:57,426] - INFO: Epoch 4243/9999, Iter 212100: Loss = 0.0229725930839777, lr = [5e-05] +[2024-05-20 19:36:24,907] - INFO: Epoch 4243/9999, Iter 212120: Loss = 0.009814289398491383, lr = [5e-05] +[2024-05-20 19:36:52,299] - INFO: Epoch 4243/9999, Iter 212140: Loss = 0.008802125230431557, lr = [5e-05] +[2024-05-20 19:37:21,105] - INFO: Epoch 4244/9999, Iter 212160: Loss = 0.00904189795255661, lr = [5e-05] +[2024-05-20 19:37:48,639] - INFO: Epoch 4244/9999, Iter 212180: Loss = 0.014462979510426521, lr = [5e-05] +[2024-05-20 19:38:17,407] - INFO: Epoch 4245/9999, Iter 212200: Loss = 0.010555032640695572, lr = [5e-05] +[2024-05-20 19:38:46,067] - INFO: Epoch 4245/9999, Iter 212220: Loss = 0.011015741154551506, lr = [5e-05] +[2024-05-20 19:39:13,678] - INFO: Epoch 4245/9999, Iter 212240: Loss = 0.008043712005019188, lr = [5e-05] +[2024-05-20 19:39:25,794] - INFO: Evaluate at epoch 4245! +[2024-05-20 19:39:29,918] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 19:39:29,918] - INFO: Eval PSNR (current): 37.999 (4245) SSIM (current): 0.9608 (4245) +[2024-05-20 19:39:29,918] - INFO: Evaluation over. +[2024-05-20 19:39:48,364] - INFO: Epoch 4246/9999, Iter 212260: Loss = 0.020940490067005157, lr = [5e-05] +[2024-05-20 19:40:16,263] - INFO: Epoch 4246/9999, Iter 212280: Loss = 0.013615071773529053, lr = [5e-05] +[2024-05-20 19:40:45,042] - INFO: Epoch 4247/9999, Iter 212300: Loss = 0.014964167959988117, lr = [5e-05] +[2024-05-20 19:41:13,145] - INFO: Epoch 4247/9999, Iter 212320: Loss = 0.017657052725553513, lr = [5e-05] +[2024-05-20 19:41:40,619] - INFO: Epoch 4247/9999, Iter 212340: Loss = 0.009871740825474262, lr = [5e-05] +[2024-05-20 19:42:09,529] - INFO: Epoch 4248/9999, Iter 212360: Loss = 0.012605499476194382, lr = [5e-05] +[2024-05-20 19:42:36,745] - INFO: Epoch 4248/9999, Iter 212380: Loss = 0.007570060435682535, lr = [5e-05] +[2024-05-20 19:43:05,909] - INFO: Epoch 4249/9999, Iter 212400: Loss = 0.012923240661621094, lr = [5e-05] +[2024-05-20 19:43:33,203] - INFO: Epoch 4249/9999, Iter 212420: Loss = 0.012564260512590408, lr = [5e-05] +[2024-05-20 19:44:00,387] - INFO: Epoch 4249/9999, Iter 212440: Loss = 0.012167769484221935, lr = [5e-05] +[2024-05-20 19:44:29,801] - INFO: Epoch 4250/9999, Iter 212460: Loss = 0.010666380636394024, lr = [5e-05] +[2024-05-20 19:44:57,830] - INFO: Epoch 4250/9999, Iter 212480: Loss = 0.0172756128013134, lr = [5e-05] +[2024-05-20 19:45:23,631] - INFO: Evaluate at epoch 4250! +[2024-05-20 19:45:27,755] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 19:45:27,755] - INFO: Eval PSNR (current): 37.957 (4250) SSIM (current): 0.9607 (4250) +[2024-05-20 19:45:27,756] - INFO: Evaluation over. +[2024-05-20 19:45:31,903] - INFO: Epoch 4251/9999, Iter 212500: Loss = 0.016777094453573227, lr = [5e-05] +[2024-05-20 19:45:58,287] - INFO: Epoch 4251/9999, Iter 212520: Loss = 0.014795951545238495, lr = [5e-05] +[2024-05-20 19:46:25,883] - INFO: Epoch 4251/9999, Iter 212540: Loss = 0.015604513697326183, lr = [5e-05] +[2024-05-20 19:46:54,236] - INFO: Epoch 4252/9999, Iter 212560: Loss = 0.012082759290933609, lr = [5e-05] +[2024-05-20 19:47:22,338] - INFO: Epoch 4252/9999, Iter 212580: Loss = 0.013957267627120018, lr = [5e-05] +[2024-05-20 19:47:51,563] - INFO: Epoch 4253/9999, Iter 212600: Loss = 0.011008714325726032, lr = [5e-05] +[2024-05-20 19:48:18,418] - INFO: Epoch 4253/9999, Iter 212620: Loss = 0.01827223226428032, lr = [5e-05] +[2024-05-20 19:48:45,418] - INFO: Epoch 4253/9999, Iter 212640: Loss = 0.015271511860191822, lr = [5e-05] +[2024-05-20 19:49:14,243] - INFO: Epoch 4254/9999, Iter 212660: Loss = 0.010027000680565834, lr = [5e-05] +[2024-05-20 19:49:41,971] - INFO: Epoch 4254/9999, Iter 212680: Loss = 0.010264597833156586, lr = [5e-05] +[2024-05-20 19:50:11,303] - INFO: Epoch 4255/9999, Iter 212700: Loss = 0.014860833063721657, lr = [5e-05] +[2024-05-20 19:50:38,997] - INFO: Epoch 4255/9999, Iter 212720: Loss = 0.01689300686120987, lr = [5e-05] +[2024-05-20 19:51:06,497] - INFO: Epoch 4255/9999, Iter 212740: Loss = 0.010099845007061958, lr = [5e-05] +[2024-05-20 19:51:18,857] - INFO: Evaluate at epoch 4255! +[2024-05-20 19:51:22,980] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 19:51:22,980] - INFO: Eval PSNR (current): 37.939 (4255) SSIM (current): 0.9606 (4255) +[2024-05-20 19:51:22,981] - INFO: Evaluation over. +[2024-05-20 19:51:40,350] - INFO: Epoch 4256/9999, Iter 212760: Loss = 0.013073597103357315, lr = [5e-05] +[2024-05-20 19:52:07,551] - INFO: Epoch 4256/9999, Iter 212780: Loss = 0.013812139630317688, lr = [5e-05] +[2024-05-20 19:52:36,554] - INFO: Epoch 4257/9999, Iter 212800: Loss = 0.014904305338859558, lr = [5e-05] +[2024-05-20 19:53:04,599] - INFO: Epoch 4257/9999, Iter 212820: Loss = 0.01478769350796938, lr = [5e-05] +[2024-05-20 19:53:31,960] - INFO: Epoch 4257/9999, Iter 212840: Loss = 0.014126925729215145, lr = [5e-05] +[2024-05-20 19:54:01,582] - INFO: Epoch 4258/9999, Iter 212860: Loss = 0.02228078991174698, lr = [5e-05] +[2024-05-20 19:54:29,215] - INFO: Epoch 4258/9999, Iter 212880: Loss = 0.010918799787759781, lr = [5e-05] +[2024-05-20 19:54:58,219] - INFO: Epoch 4259/9999, Iter 212900: Loss = 0.009774810634553432, lr = [5e-05] +[2024-05-20 19:55:25,095] - INFO: Epoch 4259/9999, Iter 212920: Loss = 0.01032452192157507, lr = [5e-05] +[2024-05-20 19:55:53,037] - INFO: Epoch 4259/9999, Iter 212940: Loss = 0.009582963772118092, lr = [5e-05] +[2024-05-20 19:56:22,529] - INFO: Epoch 4260/9999, Iter 212960: Loss = 0.00927832443267107, lr = [5e-05] +[2024-05-20 19:56:49,459] - INFO: Epoch 4260/9999, Iter 212980: Loss = 0.011513070203363895, lr = [5e-05] +[2024-05-20 19:57:15,299] - INFO: Evaluate at epoch 4260! +[2024-05-20 19:57:19,423] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 19:57:19,423] - INFO: Eval PSNR (current): 37.958 (4260) SSIM (current): 0.9607 (4260) +[2024-05-20 19:57:19,424] - INFO: Evaluation over. +[2024-05-20 19:57:23,926] - INFO: Epoch 4261/9999, Iter 213000: Loss = 0.008839748799800873, lr = [5e-05] +[2024-05-20 19:57:51,392] - INFO: Epoch 4261/9999, Iter 213020: Loss = 0.008803149685263634, lr = [5e-05] +[2024-05-20 19:58:18,142] - INFO: Epoch 4261/9999, Iter 213040: Loss = 0.013545103371143341, lr = [5e-05] +[2024-05-20 19:58:47,424] - INFO: Epoch 4262/9999, Iter 213060: Loss = 0.011566663160920143, lr = [5e-05] +[2024-05-20 19:59:15,795] - INFO: Epoch 4262/9999, Iter 213080: Loss = 0.0073976959101855755, lr = [5e-05] +[2024-05-20 19:59:44,019] - INFO: Epoch 4263/9999, Iter 213100: Loss = 0.013559231534600258, lr = [5e-05] +[2024-05-20 20:00:11,787] - INFO: Epoch 4263/9999, Iter 213120: Loss = 0.01499044056981802, lr = [5e-05] +[2024-05-20 20:00:39,436] - INFO: Epoch 4263/9999, Iter 213140: Loss = 0.012965352274477482, lr = [5e-05] +[2024-05-20 20:01:08,665] - INFO: Epoch 4264/9999, Iter 213160: Loss = 0.01302438136190176, lr = [5e-05] +[2024-05-20 20:01:37,410] - INFO: Epoch 4264/9999, Iter 213180: Loss = 0.012390384450554848, lr = [5e-05] +[2024-05-20 20:02:05,959] - INFO: Epoch 4265/9999, Iter 213200: Loss = 0.012648940086364746, lr = [5e-05] +[2024-05-20 20:02:34,680] - INFO: Epoch 4265/9999, Iter 213220: Loss = 0.011268493719398975, lr = [5e-05] +[2024-05-20 20:03:03,011] - INFO: Epoch 4265/9999, Iter 213240: Loss = 0.010986052453517914, lr = [5e-05] +[2024-05-20 20:03:15,053] - INFO: Evaluate at epoch 4265! +[2024-05-20 20:03:19,336] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 20:03:19,336] - INFO: Eval PSNR (current): 37.888 (4265) SSIM (current): 0.9605 (4265) +[2024-05-20 20:03:19,336] - INFO: Evaluation over. +[2024-05-20 20:03:37,622] - INFO: Epoch 4266/9999, Iter 213260: Loss = 0.010537119582295418, lr = [5e-05] +[2024-05-20 20:04:06,238] - INFO: Epoch 4266/9999, Iter 213280: Loss = 0.013160078786313534, lr = [5e-05] +[2024-05-20 20:04:34,819] - INFO: Epoch 4267/9999, Iter 213300: Loss = 0.014012572355568409, lr = [5e-05] +[2024-05-20 20:05:02,756] - INFO: Epoch 4267/9999, Iter 213320: Loss = 0.010721647180616856, lr = [5e-05] +[2024-05-20 20:05:31,053] - INFO: Epoch 4267/9999, Iter 213340: Loss = 0.015439809300005436, lr = [5e-05] +[2024-05-20 20:05:59,473] - INFO: Epoch 4268/9999, Iter 213360: Loss = 0.009899317286908627, lr = [5e-05] +[2024-05-20 20:06:26,415] - INFO: Epoch 4268/9999, Iter 213380: Loss = 0.011737278662621975, lr = [5e-05] +[2024-05-20 20:06:55,179] - INFO: Epoch 4269/9999, Iter 213400: Loss = 0.015584277920424938, lr = [5e-05] +[2024-05-20 20:07:22,950] - INFO: Epoch 4269/9999, Iter 213420: Loss = 0.01719515398144722, lr = [5e-05] +[2024-05-20 20:07:50,799] - INFO: Epoch 4269/9999, Iter 213440: Loss = 0.014156424440443516, lr = [5e-05] +[2024-05-20 20:08:18,909] - INFO: Epoch 4270/9999, Iter 213460: Loss = 0.016377421095967293, lr = [5e-05] +[2024-05-20 20:08:45,824] - INFO: Epoch 4270/9999, Iter 213480: Loss = 0.016043277457356453, lr = [5e-05] +[2024-05-20 20:09:11,967] - INFO: Evaluate at epoch 4270! +[2024-05-20 20:09:16,091] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 20:09:16,091] - INFO: Eval PSNR (current): 37.955 (4270) SSIM (current): 0.9607 (4270) +[2024-05-20 20:09:16,091] - INFO: Evaluation over. +[2024-05-20 20:09:20,349] - INFO: Epoch 4271/9999, Iter 213500: Loss = 0.008882074616849422, lr = [5e-05] +[2024-05-20 20:09:48,335] - INFO: Epoch 4271/9999, Iter 213520: Loss = 0.01730349101126194, lr = [5e-05] +[2024-05-20 20:10:16,682] - INFO: Epoch 4271/9999, Iter 213540: Loss = 0.0156957246363163, lr = [5e-05] +[2024-05-20 20:10:44,712] - INFO: Epoch 4272/9999, Iter 213560: Loss = 0.011587688699364662, lr = [5e-05] +[2024-05-20 20:11:11,831] - INFO: Epoch 4272/9999, Iter 213580: Loss = 0.0109938383102417, lr = [5e-05] +[2024-05-20 20:11:40,691] - INFO: Epoch 4273/9999, Iter 213600: Loss = 0.012104451656341553, lr = [5e-05] +[2024-05-20 20:12:09,159] - INFO: Epoch 4273/9999, Iter 213620: Loss = 0.01357166189700365, lr = [5e-05] +[2024-05-20 20:12:36,961] - INFO: Epoch 4273/9999, Iter 213640: Loss = 0.01908322609961033, lr = [5e-05] +[2024-05-20 20:13:05,667] - INFO: Epoch 4274/9999, Iter 213660: Loss = 0.009014992974698544, lr = [5e-05] +[2024-05-20 20:13:32,541] - INFO: Epoch 4274/9999, Iter 213680: Loss = 0.01169890258461237, lr = [5e-05] +[2024-05-20 20:14:01,355] - INFO: Epoch 4275/9999, Iter 213700: Loss = 0.012236608192324638, lr = [5e-05] +[2024-05-20 20:14:29,579] - INFO: Epoch 4275/9999, Iter 213720: Loss = 0.014194757677614689, lr = [5e-05] +[2024-05-20 20:14:56,359] - INFO: Epoch 4275/9999, Iter 213740: Loss = 0.01977481320500374, lr = [5e-05] +[2024-05-20 20:15:08,387] - INFO: Evaluate at epoch 4275! +[2024-05-20 20:15:12,516] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 20:15:12,517] - INFO: Eval PSNR (current): 37.959 (4275) SSIM (current): 0.9607 (4275) +[2024-05-20 20:15:12,517] - INFO: Evaluation over. +[2024-05-20 20:15:30,934] - INFO: Epoch 4276/9999, Iter 213760: Loss = 0.013932761736214161, lr = [5e-05] +[2024-05-20 20:15:58,595] - INFO: Epoch 4276/9999, Iter 213780: Loss = 0.016427453607320786, lr = [5e-05] +[2024-05-20 20:16:27,949] - INFO: Epoch 4277/9999, Iter 213800: Loss = 0.00939410924911499, lr = [5e-05] +[2024-05-20 20:16:55,664] - INFO: Epoch 4277/9999, Iter 213820: Loss = 0.011200249195098877, lr = [5e-05] +[2024-05-20 20:17:24,340] - INFO: Epoch 4277/9999, Iter 213840: Loss = 0.015931054949760437, lr = [5e-05] +[2024-05-20 20:17:52,865] - INFO: Epoch 4278/9999, Iter 213860: Loss = 0.011592322960495949, lr = [5e-05] +[2024-05-20 20:18:20,548] - INFO: Epoch 4278/9999, Iter 213880: Loss = 0.008510923944413662, lr = [5e-05] +[2024-05-20 20:18:49,759] - INFO: Epoch 4279/9999, Iter 213900: Loss = 0.017256254330277443, lr = [5e-05] +[2024-05-20 20:19:17,302] - INFO: Epoch 4279/9999, Iter 213920: Loss = 0.012771058827638626, lr = [5e-05] +[2024-05-20 20:19:44,228] - INFO: Epoch 4279/9999, Iter 213940: Loss = 0.011788856238126755, lr = [5e-05] +[2024-05-20 20:20:13,128] - INFO: Epoch 4280/9999, Iter 213960: Loss = 0.011754338629543781, lr = [5e-05] +[2024-05-20 20:20:40,805] - INFO: Epoch 4280/9999, Iter 213980: Loss = 0.011850403621792793, lr = [5e-05] +[2024-05-20 20:21:06,469] - INFO: Evaluate at epoch 4280! +[2024-05-20 20:21:10,651] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 20:21:10,651] - INFO: Eval PSNR (current): 37.971 (4280) SSIM (current): 0.9607 (4280) +[2024-05-20 20:21:10,651] - INFO: Evaluation over. +[2024-05-20 20:21:15,391] - INFO: Epoch 4281/9999, Iter 214000: Loss = 0.0130756301805377, lr = [5e-05] +[2024-05-20 20:21:43,432] - INFO: Epoch 4281/9999, Iter 214020: Loss = 0.013694316148757935, lr = [5e-05] +[2024-05-20 20:22:11,426] - INFO: Epoch 4281/9999, Iter 214040: Loss = 0.020823124796152115, lr = [5e-05] +[2024-05-20 20:22:39,255] - INFO: Epoch 4282/9999, Iter 214060: Loss = 0.008652892895042896, lr = [5e-05] +[2024-05-20 20:23:06,643] - INFO: Epoch 4282/9999, Iter 214080: Loss = 0.011787129566073418, lr = [5e-05] +[2024-05-20 20:23:35,363] - INFO: Epoch 4283/9999, Iter 214100: Loss = 0.01388394832611084, lr = [5e-05] +[2024-05-20 20:24:02,179] - INFO: Epoch 4283/9999, Iter 214120: Loss = 0.010961925610899925, lr = [5e-05] +[2024-05-20 20:24:29,720] - INFO: Epoch 4283/9999, Iter 214140: Loss = 0.006105080712586641, lr = [5e-05] +[2024-05-20 20:24:58,064] - INFO: Epoch 4284/9999, Iter 214160: Loss = 0.012298472225666046, lr = [5e-05] +[2024-05-20 20:25:26,067] - INFO: Epoch 4284/9999, Iter 214180: Loss = 0.006500599440187216, lr = [5e-05] +[2024-05-20 20:25:54,895] - INFO: Epoch 4285/9999, Iter 214200: Loss = 0.010286517441272736, lr = [5e-05] +[2024-05-20 20:26:22,003] - INFO: Epoch 4285/9999, Iter 214220: Loss = 0.01351716835051775, lr = [5e-05] +[2024-05-20 20:26:49,557] - INFO: Epoch 4285/9999, Iter 214240: Loss = 0.01306990534067154, lr = [5e-05] +[2024-05-20 20:27:01,915] - INFO: Evaluate at epoch 4285! +[2024-05-20 20:27:06,039] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 20:27:06,039] - INFO: Eval PSNR (current): 37.956 (4285) SSIM (current): 0.9608 (4285) +[2024-05-20 20:27:06,039] - INFO: Evaluation over. +[2024-05-20 20:27:25,135] - INFO: Epoch 4286/9999, Iter 214260: Loss = 0.016666140407323837, lr = [5e-05] +[2024-05-20 20:27:53,235] - INFO: Epoch 4286/9999, Iter 214280: Loss = 0.016689835116267204, lr = [5e-05] +[2024-05-20 20:28:21,955] - INFO: Epoch 4287/9999, Iter 214300: Loss = 0.01035336684435606, lr = [5e-05] +[2024-05-20 20:28:49,451] - INFO: Epoch 4287/9999, Iter 214320: Loss = 0.0168274138122797, lr = [5e-05] +[2024-05-20 20:29:18,095] - INFO: Epoch 4287/9999, Iter 214340: Loss = 0.011281915009021759, lr = [5e-05] +[2024-05-20 20:29:45,491] - INFO: Epoch 4288/9999, Iter 214360: Loss = 0.01597890816628933, lr = [5e-05] +[2024-05-20 20:30:13,539] - INFO: Epoch 4288/9999, Iter 214380: Loss = 0.010322635062038898, lr = [5e-05] +[2024-05-20 20:30:41,774] - INFO: Epoch 4289/9999, Iter 214400: Loss = 0.010939684696495533, lr = [5e-05] +[2024-05-20 20:31:08,852] - INFO: Epoch 4289/9999, Iter 214420: Loss = 0.008067864924669266, lr = [5e-05] +[2024-05-20 20:31:35,907] - INFO: Epoch 4289/9999, Iter 214440: Loss = 0.015282939188182354, lr = [5e-05] +[2024-05-20 20:32:05,775] - INFO: Epoch 4290/9999, Iter 214460: Loss = 0.013388962484896183, lr = [5e-05] +[2024-05-20 20:32:34,103] - INFO: Epoch 4290/9999, Iter 214480: Loss = 0.01059772539883852, lr = [5e-05] +[2024-05-20 20:32:59,308] - INFO: Evaluate at epoch 4290! +[2024-05-20 20:33:03,433] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 20:33:03,433] - INFO: Eval PSNR (current): 37.981 (4290) SSIM (current): 0.9606 (4290) +[2024-05-20 20:33:03,433] - INFO: Evaluation over. +[2024-05-20 20:33:07,583] - INFO: Epoch 4291/9999, Iter 214500: Loss = 0.015409374609589577, lr = [5e-05] +[2024-05-20 20:33:35,261] - INFO: Epoch 4291/9999, Iter 214520: Loss = 0.01742945984005928, lr = [5e-05] +[2024-05-20 20:34:03,255] - INFO: Epoch 4291/9999, Iter 214540: Loss = 0.014252684079110622, lr = [5e-05] +[2024-05-20 20:34:32,393] - INFO: Epoch 4292/9999, Iter 214560: Loss = 0.01336043793708086, lr = [5e-05] +[2024-05-20 20:35:00,195] - INFO: Epoch 4292/9999, Iter 214580: Loss = 0.016172561794519424, lr = [5e-05] +[2024-05-20 20:35:29,335] - INFO: Epoch 4293/9999, Iter 214600: Loss = 0.01559703890234232, lr = [5e-05] +[2024-05-20 20:35:56,418] - INFO: Epoch 4293/9999, Iter 214620: Loss = 0.014905350282788277, lr = [5e-05] +[2024-05-20 20:36:24,083] - INFO: Epoch 4293/9999, Iter 214640: Loss = 0.01466333121061325, lr = [5e-05] +[2024-05-20 20:36:53,275] - INFO: Epoch 4294/9999, Iter 214660: Loss = 0.012949519790709019, lr = [5e-05] +[2024-05-20 20:37:21,355] - INFO: Epoch 4294/9999, Iter 214680: Loss = 0.01342761516571045, lr = [5e-05] +[2024-05-20 20:37:49,982] - INFO: Epoch 4295/9999, Iter 214700: Loss = 0.01307525485754013, lr = [5e-05] +[2024-05-20 20:38:17,871] - INFO: Epoch 4295/9999, Iter 214720: Loss = 0.01764555647969246, lr = [5e-05] +[2024-05-20 20:38:44,597] - INFO: Epoch 4295/9999, Iter 214740: Loss = 0.012226100079715252, lr = [5e-05] +[2024-05-20 20:38:56,848] - INFO: Evaluate at epoch 4295! +[2024-05-20 20:39:00,978] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 20:39:00,979] - INFO: Eval PSNR (current): 37.915 (4295) SSIM (current): 0.9606 (4295) +[2024-05-20 20:39:00,979] - INFO: Evaluation over. +[2024-05-20 20:39:18,603] - INFO: Epoch 4296/9999, Iter 214760: Loss = 0.016663769260048866, lr = [5e-05] +[2024-05-20 20:39:46,249] - INFO: Epoch 4296/9999, Iter 214780: Loss = 0.014077900908887386, lr = [5e-05] +[2024-05-20 20:40:15,381] - INFO: Epoch 4297/9999, Iter 214800: Loss = 0.011765903793275356, lr = [5e-05] +[2024-05-20 20:40:43,004] - INFO: Epoch 4297/9999, Iter 214820: Loss = 0.013308590278029442, lr = [5e-05] +[2024-05-20 20:41:10,818] - INFO: Epoch 4297/9999, Iter 214840: Loss = 0.01158514991402626, lr = [5e-05] +[2024-05-20 20:41:40,711] - INFO: Epoch 4298/9999, Iter 214860: Loss = 0.008551673963665962, lr = [5e-05] +[2024-05-20 20:42:08,547] - INFO: Epoch 4298/9999, Iter 214880: Loss = 0.011146999895572662, lr = [5e-05] +[2024-05-20 20:42:37,594] - INFO: Epoch 4299/9999, Iter 214900: Loss = 0.010980076156556606, lr = [5e-05] +[2024-05-20 20:43:05,643] - INFO: Epoch 4299/9999, Iter 214920: Loss = 0.013416186906397343, lr = [5e-05] +[2024-05-20 20:43:32,859] - INFO: Epoch 4299/9999, Iter 214940: Loss = 0.011519525200128555, lr = [5e-05] +[2024-05-20 20:44:01,510] - INFO: Epoch 4300/9999, Iter 214960: Loss = 0.011821155436336994, lr = [5e-05] +[2024-05-20 20:44:29,292] - INFO: Epoch 4300/9999, Iter 214980: Loss = 0.015508473850786686, lr = [5e-05] +[2024-05-20 20:44:55,959] - INFO: Evaluate at epoch 4300! +[2024-05-20 20:45:00,086] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 20:45:00,086] - INFO: Eval PSNR (current): 37.907 (4300) SSIM (current): 0.9606 (4300) +[2024-05-20 20:45:00,086] - INFO: Evaluation over. +[2024-05-20 20:45:04,785] - INFO: Epoch 4301/9999, Iter 215000: Loss = 0.008941552601754665, lr = [5e-05] +[2024-05-20 20:45:32,961] - INFO: Epoch 4301/9999, Iter 215020: Loss = 0.01636493019759655, lr = [5e-05] +[2024-05-20 20:46:00,760] - INFO: Epoch 4301/9999, Iter 215040: Loss = 0.010126589797437191, lr = [5e-05] +[2024-05-20 20:46:29,853] - INFO: Epoch 4302/9999, Iter 215060: Loss = 0.013343559578061104, lr = [5e-05] +[2024-05-20 20:46:57,794] - INFO: Epoch 4302/9999, Iter 215080: Loss = 0.017506426200270653, lr = [5e-05] +[2024-05-20 20:47:26,843] - INFO: Epoch 4303/9999, Iter 215100: Loss = 0.01251035276800394, lr = [5e-05] +[2024-05-20 20:47:54,267] - INFO: Epoch 4303/9999, Iter 215120: Loss = 0.012727134861052036, lr = [5e-05] +[2024-05-20 20:48:21,276] - INFO: Epoch 4303/9999, Iter 215140: Loss = 0.012334657832980156, lr = [5e-05] +[2024-05-20 20:48:51,302] - INFO: Epoch 4304/9999, Iter 215160: Loss = 0.012281888164579868, lr = [5e-05] +[2024-05-20 20:49:20,002] - INFO: Epoch 4304/9999, Iter 215180: Loss = 0.01085476391017437, lr = [5e-05] +[2024-05-20 20:49:47,823] - INFO: Epoch 4305/9999, Iter 215200: Loss = 0.010847565717995167, lr = [5e-05] +[2024-05-20 20:50:15,676] - INFO: Epoch 4305/9999, Iter 215220: Loss = 0.00847671553492546, lr = [5e-05] +[2024-05-20 20:50:43,192] - INFO: Epoch 4305/9999, Iter 215240: Loss = 0.015910079702734947, lr = [5e-05] +[2024-05-20 20:50:55,558] - INFO: Evaluate at epoch 4305! +[2024-05-20 20:50:59,683] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 20:50:59,683] - INFO: Eval PSNR (current): 37.966 (4305) SSIM (current): 0.9607 (4305) +[2024-05-20 20:50:59,683] - INFO: Evaluation over. +[2024-05-20 20:51:18,531] - INFO: Epoch 4306/9999, Iter 215260: Loss = 0.013592183589935303, lr = [5e-05] +[2024-05-20 20:51:46,662] - INFO: Epoch 4306/9999, Iter 215280: Loss = 0.008262778632342815, lr = [5e-05] +[2024-05-20 20:52:14,982] - INFO: Epoch 4307/9999, Iter 215300: Loss = 0.014113876968622208, lr = [5e-05] +[2024-05-20 20:52:42,715] - INFO: Epoch 4307/9999, Iter 215320: Loss = 0.019359607249498367, lr = [5e-05] +[2024-05-20 20:53:09,969] - INFO: Epoch 4307/9999, Iter 215340: Loss = 0.009928659535944462, lr = [5e-05] +[2024-05-20 20:53:39,159] - INFO: Epoch 4308/9999, Iter 215360: Loss = 0.015154075808823109, lr = [5e-05] +[2024-05-20 20:54:07,335] - INFO: Epoch 4308/9999, Iter 215380: Loss = 0.00958738662302494, lr = [5e-05] +[2024-05-20 20:54:35,891] - INFO: Epoch 4309/9999, Iter 215400: Loss = 0.015034818090498447, lr = [5e-05] +[2024-05-20 20:55:02,517] - INFO: Epoch 4309/9999, Iter 215420: Loss = 0.015006613917648792, lr = [5e-05] +[2024-05-20 20:55:30,394] - INFO: Epoch 4309/9999, Iter 215440: Loss = 0.00937483087182045, lr = [5e-05] +[2024-05-20 20:55:58,866] - INFO: Epoch 4310/9999, Iter 215460: Loss = 0.014686955139040947, lr = [5e-05] +[2024-05-20 20:56:25,592] - INFO: Epoch 4310/9999, Iter 215480: Loss = 0.016691407188773155, lr = [5e-05] +[2024-05-20 20:56:51,856] - INFO: Evaluate at epoch 4310! +[2024-05-20 20:56:55,984] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 20:56:55,985] - INFO: Eval PSNR (current): 37.954 (4310) SSIM (current): 0.9606 (4310) +[2024-05-20 20:56:55,985] - INFO: Evaluation over. +[2024-05-20 20:57:00,352] - INFO: Epoch 4311/9999, Iter 215500: Loss = 0.017213666811585426, lr = [5e-05] +[2024-05-20 20:57:28,855] - INFO: Epoch 4311/9999, Iter 215520: Loss = 0.01543829869478941, lr = [5e-05] +[2024-05-20 20:57:56,124] - INFO: Epoch 4311/9999, Iter 215540: Loss = 0.013510280288755894, lr = [5e-05] +[2024-05-20 20:58:25,373] - INFO: Epoch 4312/9999, Iter 215560: Loss = 0.009290436282753944, lr = [5e-05] +[2024-05-20 20:58:52,795] - INFO: Epoch 4312/9999, Iter 215580: Loss = 0.015682930126786232, lr = [5e-05] +[2024-05-20 20:59:22,131] - INFO: Epoch 4313/9999, Iter 215600: Loss = 0.01038605161011219, lr = [5e-05] +[2024-05-20 20:59:50,143] - INFO: Epoch 4313/9999, Iter 215620: Loss = 0.009237551130354404, lr = [5e-05] +[2024-05-20 21:00:18,503] - INFO: Epoch 4313/9999, Iter 215640: Loss = 0.015662429854273796, lr = [5e-05] +[2024-05-20 21:00:47,497] - INFO: Epoch 4314/9999, Iter 215660: Loss = 0.011338810436427593, lr = [5e-05] +[2024-05-20 21:01:15,119] - INFO: Epoch 4314/9999, Iter 215680: Loss = 0.013938531279563904, lr = [5e-05] +[2024-05-20 21:01:44,410] - INFO: Epoch 4315/9999, Iter 215700: Loss = 0.015057380311191082, lr = [5e-05] +[2024-05-20 21:02:11,187] - INFO: Epoch 4315/9999, Iter 215720: Loss = 0.014079868793487549, lr = [5e-05] +[2024-05-20 21:02:38,815] - INFO: Epoch 4315/9999, Iter 215740: Loss = 0.012132150121033192, lr = [5e-05] +[2024-05-20 21:02:50,907] - INFO: Evaluate at epoch 4315! +[2024-05-20 21:02:55,043] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 21:02:55,043] - INFO: Eval PSNR (current): 37.985 (4315) SSIM (current): 0.9607 (4315) +[2024-05-20 21:02:55,043] - INFO: Evaluation over. +[2024-05-20 21:03:13,267] - INFO: Epoch 4316/9999, Iter 215760: Loss = 0.012474683113396168, lr = [5e-05] +[2024-05-20 21:03:41,766] - INFO: Epoch 4316/9999, Iter 215780: Loss = 0.0109192980453372, lr = [5e-05] +[2024-05-20 21:04:10,191] - INFO: Epoch 4317/9999, Iter 215800: Loss = 0.01359875313937664, lr = [5e-05] +[2024-05-20 21:04:37,136] - INFO: Epoch 4317/9999, Iter 215820: Loss = 0.012830552645027637, lr = [5e-05] +[2024-05-20 21:05:04,274] - INFO: Epoch 4317/9999, Iter 215840: Loss = 0.008736508898437023, lr = [5e-05] +[2024-05-20 21:05:34,019] - INFO: Epoch 4318/9999, Iter 215860: Loss = 0.00946830864995718, lr = [5e-05] +[2024-05-20 21:06:02,112] - INFO: Epoch 4318/9999, Iter 215880: Loss = 0.015860799700021744, lr = [5e-05] +[2024-05-20 21:06:31,052] - INFO: Epoch 4319/9999, Iter 215900: Loss = 0.018177468329668045, lr = [5e-05] +[2024-05-20 21:06:58,347] - INFO: Epoch 4319/9999, Iter 215920: Loss = 0.010653883218765259, lr = [5e-05] +[2024-05-20 21:07:26,319] - INFO: Epoch 4319/9999, Iter 215940: Loss = 0.010288108140230179, lr = [5e-05] +[2024-05-20 21:07:54,775] - INFO: Epoch 4320/9999, Iter 215960: Loss = 0.010566907934844494, lr = [5e-05] +[2024-05-20 21:08:22,713] - INFO: Epoch 4320/9999, Iter 215980: Loss = 0.009173937141895294, lr = [5e-05] +[2024-05-20 21:08:48,606] - INFO: Evaluate at epoch 4320! +[2024-05-20 21:08:52,728] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 21:08:52,728] - INFO: Eval PSNR (current): 37.993 (4320) SSIM (current): 0.9608 (4320) +[2024-05-20 21:08:52,728] - INFO: Evaluation over. +[2024-05-20 21:08:56,875] - INFO: Epoch 4321/9999, Iter 216000: Loss = 0.012188591063022614, lr = [5e-05] +[2024-05-20 21:09:25,427] - INFO: Epoch 4321/9999, Iter 216020: Loss = 0.01451070886105299, lr = [5e-05] +[2024-05-20 21:09:53,215] - INFO: Epoch 4321/9999, Iter 216040: Loss = 0.011487109586596489, lr = [5e-05] +[2024-05-20 21:10:22,339] - INFO: Epoch 4322/9999, Iter 216060: Loss = 0.01836128532886505, lr = [5e-05] +[2024-05-20 21:10:49,347] - INFO: Epoch 4322/9999, Iter 216080: Loss = 0.011096042580902576, lr = [5e-05] +[2024-05-20 21:11:18,945] - INFO: Epoch 4323/9999, Iter 216100: Loss = 0.008776807226240635, lr = [5e-05] +[2024-05-20 21:11:46,618] - INFO: Epoch 4323/9999, Iter 216120: Loss = 0.011280651204288006, lr = [5e-05] +[2024-05-20 21:12:14,823] - INFO: Epoch 4323/9999, Iter 216140: Loss = 0.00704909535124898, lr = [5e-05] +[2024-05-20 21:12:43,859] - INFO: Epoch 4324/9999, Iter 216160: Loss = 0.011836180463433266, lr = [5e-05] +[2024-05-20 21:13:11,188] - INFO: Epoch 4324/9999, Iter 216180: Loss = 0.012743823230266571, lr = [5e-05] +[2024-05-20 21:13:39,921] - INFO: Epoch 4325/9999, Iter 216200: Loss = 0.01554526761174202, lr = [5e-05] +[2024-05-20 21:14:08,299] - INFO: Epoch 4325/9999, Iter 216220: Loss = 0.012853740714490414, lr = [5e-05] +[2024-05-20 21:14:36,211] - INFO: Epoch 4325/9999, Iter 216240: Loss = 0.012129461392760277, lr = [5e-05] +[2024-05-20 21:14:47,962] - INFO: Evaluate at epoch 4325! +[2024-05-20 21:14:52,094] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 21:14:52,095] - INFO: Eval PSNR (current): 37.965 (4325) SSIM (current): 0.9607 (4325) +[2024-05-20 21:14:52,095] - INFO: Evaluation over. +[2024-05-20 21:15:10,583] - INFO: Epoch 4326/9999, Iter 216260: Loss = 0.011457633227109909, lr = [5e-05] +[2024-05-20 21:15:37,955] - INFO: Epoch 4326/9999, Iter 216280: Loss = 0.013239632360637188, lr = [5e-05] +[2024-05-20 21:16:06,909] - INFO: Epoch 4327/9999, Iter 216300: Loss = 0.010144739411771297, lr = [5e-05] +[2024-05-20 21:16:34,916] - INFO: Epoch 4327/9999, Iter 216320: Loss = 0.015057113952934742, lr = [5e-05] +[2024-05-20 21:17:02,509] - INFO: Epoch 4327/9999, Iter 216340: Loss = 0.01566833071410656, lr = [5e-05] +[2024-05-20 21:17:31,859] - INFO: Epoch 4328/9999, Iter 216360: Loss = 0.010599939152598381, lr = [5e-05] +[2024-05-20 21:17:59,431] - INFO: Epoch 4328/9999, Iter 216380: Loss = 0.007773291319608688, lr = [5e-05] +[2024-05-20 21:18:28,813] - INFO: Epoch 4329/9999, Iter 216400: Loss = 0.011405322700738907, lr = [5e-05] +[2024-05-20 21:18:56,731] - INFO: Epoch 4329/9999, Iter 216420: Loss = 0.011555839329957962, lr = [5e-05] +[2024-05-20 21:19:25,311] - INFO: Epoch 4329/9999, Iter 216440: Loss = 0.014618187211453915, lr = [5e-05] +[2024-05-20 21:19:54,322] - INFO: Epoch 4330/9999, Iter 216460: Loss = 0.011317066848278046, lr = [5e-05] +[2024-05-20 21:20:22,855] - INFO: Epoch 4330/9999, Iter 216480: Loss = 0.009069000370800495, lr = [5e-05] +[2024-05-20 21:20:48,832] - INFO: Evaluate at epoch 4330! +[2024-05-20 21:20:53,003] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 21:20:53,004] - INFO: Eval PSNR (current): 37.994 (4330) SSIM (current): 0.9608 (4330) +[2024-05-20 21:20:53,004] - INFO: Evaluation over. +[2024-05-20 21:20:57,259] - INFO: Epoch 4331/9999, Iter 216500: Loss = 0.014323029667139053, lr = [5e-05] +[2024-05-20 21:21:24,643] - INFO: Epoch 4331/9999, Iter 216520: Loss = 0.01200949028134346, lr = [5e-05] +[2024-05-20 21:21:52,504] - INFO: Epoch 4331/9999, Iter 216540: Loss = 0.014807069674134254, lr = [5e-05] +[2024-05-20 21:22:21,219] - INFO: Epoch 4332/9999, Iter 216560: Loss = 0.013161377981305122, lr = [5e-05] +[2024-05-20 21:22:49,688] - INFO: Epoch 4332/9999, Iter 216580: Loss = 0.017917999997735023, lr = [5e-05] +[2024-05-20 21:23:18,699] - INFO: Epoch 4333/9999, Iter 216600: Loss = 0.011493171565234661, lr = [5e-05] +[2024-05-20 21:23:45,618] - INFO: Epoch 4333/9999, Iter 216620: Loss = 0.01490760501474142, lr = [5e-05] +[2024-05-20 21:24:13,795] - INFO: Epoch 4333/9999, Iter 216640: Loss = 0.008579504676163197, lr = [5e-05] +[2024-05-20 21:24:43,056] - INFO: Epoch 4334/9999, Iter 216660: Loss = 0.016919700428843498, lr = [5e-05] +[2024-05-20 21:25:11,044] - INFO: Epoch 4334/9999, Iter 216680: Loss = 0.015732944011688232, lr = [5e-05] +[2024-05-20 21:25:39,751] - INFO: Epoch 4335/9999, Iter 216700: Loss = 0.008700345642864704, lr = [5e-05] +[2024-05-20 21:26:07,743] - INFO: Epoch 4335/9999, Iter 216720: Loss = 0.01289272215217352, lr = [5e-05] +[2024-05-20 21:26:35,536] - INFO: Epoch 4335/9999, Iter 216740: Loss = 0.008484190329909325, lr = [5e-05] +[2024-05-20 21:26:47,594] - INFO: Evaluate at epoch 4335! +[2024-05-20 21:26:51,719] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 21:26:51,719] - INFO: Eval PSNR (current): 37.999 (4335) SSIM (current): 0.9608 (4335) +[2024-05-20 21:26:51,720] - INFO: Evaluation over. +[2024-05-20 21:27:10,499] - INFO: Epoch 4336/9999, Iter 216760: Loss = 0.013687818311154842, lr = [5e-05] +[2024-05-20 21:27:38,905] - INFO: Epoch 4336/9999, Iter 216780: Loss = 0.013116653077304363, lr = [5e-05] +[2024-05-20 21:28:06,975] - INFO: Epoch 4337/9999, Iter 216800: Loss = 0.013779954053461552, lr = [5e-05] +[2024-05-20 21:28:35,254] - INFO: Epoch 4337/9999, Iter 216820: Loss = 0.010634676553308964, lr = [5e-05] +[2024-05-20 21:29:03,324] - INFO: Epoch 4337/9999, Iter 216840: Loss = 0.01857752911746502, lr = [5e-05] +[2024-05-20 21:29:32,141] - INFO: Epoch 4338/9999, Iter 216860: Loss = 0.010208762250840664, lr = [5e-05] +[2024-05-20 21:30:00,535] - INFO: Epoch 4338/9999, Iter 216880: Loss = 0.014788437634706497, lr = [5e-05] +[2024-05-20 21:30:28,683] - INFO: Epoch 4339/9999, Iter 216900: Loss = 0.014382404275238514, lr = [5e-05] +[2024-05-20 21:30:56,739] - INFO: Epoch 4339/9999, Iter 216920: Loss = 0.010462827980518341, lr = [5e-05] +[2024-05-20 21:31:24,675] - INFO: Epoch 4339/9999, Iter 216940: Loss = 0.011380421929061413, lr = [5e-05] +[2024-05-20 21:31:53,804] - INFO: Epoch 4340/9999, Iter 216960: Loss = 0.01328363548964262, lr = [5e-05] +[2024-05-20 21:32:22,238] - INFO: Epoch 4340/9999, Iter 216980: Loss = 0.01634025201201439, lr = [5e-05] +[2024-05-20 21:32:48,190] - INFO: Evaluate at epoch 4340! +[2024-05-20 21:32:52,318] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 21:32:52,318] - INFO: Eval PSNR (current): 37.988 (4340) SSIM (current): 0.9607 (4340) +[2024-05-20 21:32:52,318] - INFO: Evaluation over. +[2024-05-20 21:32:56,971] - INFO: Epoch 4341/9999, Iter 217000: Loss = 0.009454967454075813, lr = [5e-05] +[2024-05-20 21:33:25,134] - INFO: Epoch 4341/9999, Iter 217020: Loss = 0.014686966314911842, lr = [5e-05] +[2024-05-20 21:33:52,999] - INFO: Epoch 4341/9999, Iter 217040: Loss = 0.011980174109339714, lr = [5e-05] +[2024-05-20 21:34:20,758] - INFO: Epoch 4342/9999, Iter 217060: Loss = 0.015260950662195683, lr = [5e-05] +[2024-05-20 21:34:48,222] - INFO: Epoch 4342/9999, Iter 217080: Loss = 0.01676691323518753, lr = [5e-05] +[2024-05-20 21:35:17,075] - INFO: Epoch 4343/9999, Iter 217100: Loss = 0.011728191748261452, lr = [5e-05] +[2024-05-20 21:35:44,976] - INFO: Epoch 4343/9999, Iter 217120: Loss = 0.015566900372505188, lr = [5e-05] +[2024-05-20 21:36:12,387] - INFO: Epoch 4343/9999, Iter 217140: Loss = 0.015223560854792595, lr = [5e-05] +[2024-05-20 21:36:41,514] - INFO: Epoch 4344/9999, Iter 217160: Loss = 0.011688493192195892, lr = [5e-05] +[2024-05-20 21:37:09,331] - INFO: Epoch 4344/9999, Iter 217180: Loss = 0.021107906475663185, lr = [5e-05] +[2024-05-20 21:37:38,075] - INFO: Epoch 4345/9999, Iter 217200: Loss = 0.010091572999954224, lr = [5e-05] +[2024-05-20 21:38:05,763] - INFO: Epoch 4345/9999, Iter 217220: Loss = 0.007805784698575735, lr = [5e-05] +[2024-05-20 21:38:33,856] - INFO: Epoch 4345/9999, Iter 217240: Loss = 0.012993432581424713, lr = [5e-05] +[2024-05-20 21:38:46,049] - INFO: Evaluate at epoch 4345! +[2024-05-20 21:38:50,176] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 21:38:50,176] - INFO: Eval PSNR (current): 37.975 (4345) SSIM (current): 0.9608 (4345) +[2024-05-20 21:38:50,176] - INFO: Evaluation over. +[2024-05-20 21:39:08,322] - INFO: Epoch 4346/9999, Iter 217260: Loss = 0.02051396295428276, lr = [5e-05] +[2024-05-20 21:39:35,451] - INFO: Epoch 4346/9999, Iter 217280: Loss = 0.014070195145905018, lr = [5e-05] +[2024-05-20 21:40:05,334] - INFO: Epoch 4347/9999, Iter 217300: Loss = 0.014251959510147572, lr = [5e-05] +[2024-05-20 21:40:33,103] - INFO: Epoch 4347/9999, Iter 217320: Loss = 0.01595643162727356, lr = [5e-05] +[2024-05-20 21:41:00,914] - INFO: Epoch 4347/9999, Iter 217340: Loss = 0.008869226090610027, lr = [5e-05] +[2024-05-20 21:41:29,586] - INFO: Epoch 4348/9999, Iter 217360: Loss = 0.008538291789591312, lr = [5e-05] +[2024-05-20 21:41:57,613] - INFO: Epoch 4348/9999, Iter 217380: Loss = 0.012479452416300774, lr = [5e-05] +[2024-05-20 21:42:26,821] - INFO: Epoch 4349/9999, Iter 217400: Loss = 0.017446298152208328, lr = [5e-05] +[2024-05-20 21:42:54,724] - INFO: Epoch 4349/9999, Iter 217420: Loss = 0.013370020315051079, lr = [5e-05] +[2024-05-20 21:43:21,927] - INFO: Epoch 4349/9999, Iter 217440: Loss = 0.01784503273665905, lr = [5e-05] +[2024-05-20 21:43:50,739] - INFO: Epoch 4350/9999, Iter 217460: Loss = 0.010989580303430557, lr = [5e-05] +[2024-05-20 21:44:18,272] - INFO: Epoch 4350/9999, Iter 217480: Loss = 0.01710878312587738, lr = [5e-05] +[2024-05-20 21:44:44,579] - INFO: Evaluate at epoch 4350! +[2024-05-20 21:44:48,707] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 21:44:48,707] - INFO: Eval PSNR (current): 38.011 (4350) SSIM (current): 0.9608 (4350) +[2024-05-20 21:44:48,707] - INFO: Evaluation over. +[2024-05-20 21:44:53,382] - INFO: Epoch 4351/9999, Iter 217500: Loss = 0.012921891175210476, lr = [5e-05] +[2024-05-20 21:45:21,075] - INFO: Epoch 4351/9999, Iter 217520: Loss = 0.0099210599437356, lr = [5e-05] +[2024-05-20 21:45:48,995] - INFO: Epoch 4351/9999, Iter 217540: Loss = 0.013009274378418922, lr = [5e-05] +[2024-05-20 21:46:17,473] - INFO: Epoch 4352/9999, Iter 217560: Loss = 0.010559647344052792, lr = [5e-05] +[2024-05-20 21:46:43,975] - INFO: Epoch 4352/9999, Iter 217580: Loss = 0.014597832225263119, lr = [5e-05] +[2024-05-20 21:47:13,602] - INFO: Epoch 4353/9999, Iter 217600: Loss = 0.013662926852703094, lr = [5e-05] +[2024-05-20 21:47:41,659] - INFO: Epoch 4353/9999, Iter 217620: Loss = 0.01377718336880207, lr = [5e-05] +[2024-05-20 21:48:08,950] - INFO: Epoch 4353/9999, Iter 217640: Loss = 0.013139093294739723, lr = [5e-05] +[2024-05-20 21:48:38,018] - INFO: Epoch 4354/9999, Iter 217660: Loss = 0.01140795461833477, lr = [5e-05] +[2024-05-20 21:49:06,223] - INFO: Epoch 4354/9999, Iter 217680: Loss = 0.009534889832139015, lr = [5e-05] +[2024-05-20 21:49:33,891] - INFO: Epoch 4355/9999, Iter 217700: Loss = 0.012373147532343864, lr = [5e-05] +[2024-05-20 21:50:00,738] - INFO: Epoch 4355/9999, Iter 217720: Loss = 0.007079095579683781, lr = [5e-05] +[2024-05-20 21:50:28,151] - INFO: Epoch 4355/9999, Iter 217740: Loss = 0.010791672393679619, lr = [5e-05] +[2024-05-20 21:50:41,026] - INFO: Evaluate at epoch 4355! +[2024-05-20 21:50:45,177] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 21:50:45,177] - INFO: Eval PSNR (current): 37.933 (4355) SSIM (current): 0.9606 (4355) +[2024-05-20 21:50:45,177] - INFO: Evaluation over. +[2024-05-20 21:51:03,344] - INFO: Epoch 4356/9999, Iter 217760: Loss = 0.00921058002859354, lr = [5e-05] +[2024-05-20 21:51:31,307] - INFO: Epoch 4356/9999, Iter 217780: Loss = 0.01701924577355385, lr = [5e-05] +[2024-05-20 21:52:00,139] - INFO: Epoch 4357/9999, Iter 217800: Loss = 0.013809144496917725, lr = [5e-05] +[2024-05-20 21:52:27,959] - INFO: Epoch 4357/9999, Iter 217820: Loss = 0.015729648992419243, lr = [5e-05] +[2024-05-20 21:52:56,431] - INFO: Epoch 4357/9999, Iter 217840: Loss = 0.014217639341950417, lr = [5e-05] +[2024-05-20 21:53:24,958] - INFO: Epoch 4358/9999, Iter 217860: Loss = 0.007523912936449051, lr = [5e-05] +[2024-05-20 21:53:52,679] - INFO: Epoch 4358/9999, Iter 217880: Loss = 0.008936838246881962, lr = [5e-05] +[2024-05-20 21:54:22,322] - INFO: Epoch 4359/9999, Iter 217900: Loss = 0.011986525729298592, lr = [5e-05] +[2024-05-20 21:54:49,019] - INFO: Epoch 4359/9999, Iter 217920: Loss = 0.015381653793156147, lr = [5e-05] +[2024-05-20 21:55:15,871] - INFO: Epoch 4359/9999, Iter 217940: Loss = 0.013367046602070332, lr = [5e-05] +[2024-05-20 21:55:45,355] - INFO: Epoch 4360/9999, Iter 217960: Loss = 0.006688156630843878, lr = [5e-05] +[2024-05-20 21:56:13,459] - INFO: Epoch 4360/9999, Iter 217980: Loss = 0.01293221302330494, lr = [5e-05] +[2024-05-20 21:56:39,049] - INFO: Evaluate at epoch 4360! +[2024-05-20 21:56:43,174] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 21:56:43,174] - INFO: Eval PSNR (current): 37.991 (4360) SSIM (current): 0.9608 (4360) +[2024-05-20 21:56:43,174] - INFO: Evaluation over. +[2024-05-20 21:56:47,895] - INFO: Epoch 4361/9999, Iter 218000: Loss = 0.016770966351032257, lr = [5e-05] +[2024-05-20 21:57:16,672] - INFO: Epoch 4361/9999, Iter 218020: Loss = 0.012564451433718204, lr = [5e-05] +[2024-05-20 21:57:44,366] - INFO: Epoch 4361/9999, Iter 218040: Loss = 0.010547124780714512, lr = [5e-05] +[2024-05-20 21:58:13,490] - INFO: Epoch 4362/9999, Iter 218060: Loss = 0.013937425799667835, lr = [5e-05] +[2024-05-20 21:58:41,282] - INFO: Epoch 4362/9999, Iter 218080: Loss = 0.010098541155457497, lr = [5e-05] +[2024-05-20 21:59:10,148] - INFO: Epoch 4363/9999, Iter 218100: Loss = 0.011966555379331112, lr = [5e-05] +[2024-05-20 21:59:38,187] - INFO: Epoch 4363/9999, Iter 218120: Loss = 0.018771961331367493, lr = [5e-05] +[2024-05-20 22:00:05,728] - INFO: Epoch 4363/9999, Iter 218140: Loss = 0.015445436351001263, lr = [5e-05] +[2024-05-20 22:00:35,047] - INFO: Epoch 4364/9999, Iter 218160: Loss = 0.013564946129918098, lr = [5e-05] +[2024-05-20 22:01:03,209] - INFO: Epoch 4364/9999, Iter 218180: Loss = 0.016377732157707214, lr = [5e-05] +[2024-05-20 22:01:32,118] - INFO: Epoch 4365/9999, Iter 218200: Loss = 0.010239491239190102, lr = [5e-05] +[2024-05-20 22:01:59,922] - INFO: Epoch 4365/9999, Iter 218220: Loss = 0.013532866723835468, lr = [5e-05] +[2024-05-20 22:02:26,080] - INFO: Epoch 4365/9999, Iter 218240: Loss = 0.008331860415637493, lr = [5e-05] +[2024-05-20 22:02:38,780] - INFO: Evaluate at epoch 4365! +[2024-05-20 22:02:42,903] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 22:02:42,903] - INFO: Eval PSNR (current): 37.992 (4365) SSIM (current): 0.9608 (4365) +[2024-05-20 22:02:42,903] - INFO: Evaluation over. +[2024-05-20 22:03:00,951] - INFO: Epoch 4366/9999, Iter 218260: Loss = 0.008536813780665398, lr = [5e-05] +[2024-05-20 22:03:28,164] - INFO: Epoch 4366/9999, Iter 218280: Loss = 0.013627509586513042, lr = [5e-05] +[2024-05-20 22:03:56,971] - INFO: Epoch 4367/9999, Iter 218300: Loss = 0.011439168825745583, lr = [5e-05] +[2024-05-20 22:04:23,663] - INFO: Epoch 4367/9999, Iter 218320: Loss = 0.012803466059267521, lr = [5e-05] +[2024-05-20 22:04:51,381] - INFO: Epoch 4367/9999, Iter 218340: Loss = 0.018178531900048256, lr = [5e-05] +[2024-05-20 22:05:21,131] - INFO: Epoch 4368/9999, Iter 218360: Loss = 0.009775055572390556, lr = [5e-05] +[2024-05-20 22:05:48,519] - INFO: Epoch 4368/9999, Iter 218380: Loss = 0.0079844044521451, lr = [5e-05] +[2024-05-20 22:06:17,823] - INFO: Epoch 4369/9999, Iter 218400: Loss = 0.009984294883906841, lr = [5e-05] +[2024-05-20 22:06:45,609] - INFO: Epoch 4369/9999, Iter 218420: Loss = 0.011968390084803104, lr = [5e-05] +[2024-05-20 22:07:13,827] - INFO: Epoch 4369/9999, Iter 218440: Loss = 0.009978429414331913, lr = [5e-05] +[2024-05-20 22:07:42,519] - INFO: Epoch 4370/9999, Iter 218460: Loss = 0.00734724709764123, lr = [5e-05] +[2024-05-20 22:08:09,265] - INFO: Epoch 4370/9999, Iter 218480: Loss = 0.012151630595326424, lr = [5e-05] +[2024-05-20 22:08:35,398] - INFO: Evaluate at epoch 4370! +[2024-05-20 22:08:39,523] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 22:08:39,524] - INFO: Eval PSNR (current): 37.989 (4370) SSIM (current): 0.9608 (4370) +[2024-05-20 22:08:39,524] - INFO: Evaluation over. +[2024-05-20 22:08:43,928] - INFO: Epoch 4371/9999, Iter 218500: Loss = 0.011742355301976204, lr = [5e-05] +[2024-05-20 22:09:12,035] - INFO: Epoch 4371/9999, Iter 218520: Loss = 0.012454933486878872, lr = [5e-05] +[2024-05-20 22:09:39,756] - INFO: Epoch 4371/9999, Iter 218540: Loss = 0.019022086635231972, lr = [5e-05] +[2024-05-20 22:10:08,111] - INFO: Epoch 4372/9999, Iter 218560: Loss = 0.012459647841751575, lr = [5e-05] +[2024-05-20 22:10:35,226] - INFO: Epoch 4372/9999, Iter 218580: Loss = 0.009940426796674728, lr = [5e-05] +[2024-05-20 22:11:03,435] - INFO: Epoch 4373/9999, Iter 218600: Loss = 0.014924065209925175, lr = [5e-05] +[2024-05-20 22:11:31,102] - INFO: Epoch 4373/9999, Iter 218620: Loss = 0.010541032999753952, lr = [5e-05] +[2024-05-20 22:11:59,099] - INFO: Epoch 4373/9999, Iter 218640: Loss = 0.01225170586258173, lr = [5e-05] +[2024-05-20 22:12:28,551] - INFO: Epoch 4374/9999, Iter 218660: Loss = 0.009989894926548004, lr = [5e-05] +[2024-05-20 22:12:56,563] - INFO: Epoch 4374/9999, Iter 218680: Loss = 0.013427803292870522, lr = [5e-05] +[2024-05-20 22:13:25,235] - INFO: Epoch 4375/9999, Iter 218700: Loss = 0.012044725008308887, lr = [5e-05] +[2024-05-20 22:13:53,042] - INFO: Epoch 4375/9999, Iter 218720: Loss = 0.014727062545716763, lr = [5e-05] +[2024-05-20 22:14:20,487] - INFO: Epoch 4375/9999, Iter 218740: Loss = 0.01719890534877777, lr = [5e-05] +[2024-05-20 22:14:32,550] - INFO: Evaluate at epoch 4375! +[2024-05-20 22:14:36,680] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 22:14:36,681] - INFO: Eval PSNR (current): 37.970 (4375) SSIM (current): 0.9607 (4375) +[2024-05-20 22:14:36,681] - INFO: Evaluation over. +[2024-05-20 22:14:54,757] - INFO: Epoch 4376/9999, Iter 218760: Loss = 0.016766611486673355, lr = [5e-05] +[2024-05-20 22:15:23,087] - INFO: Epoch 4376/9999, Iter 218780: Loss = 0.00959816388785839, lr = [5e-05] +[2024-05-20 22:15:51,491] - INFO: Epoch 4377/9999, Iter 218800: Loss = 0.010266060940921307, lr = [5e-05] +[2024-05-20 22:16:18,508] - INFO: Epoch 4377/9999, Iter 218820: Loss = 0.013580920174717903, lr = [5e-05] +[2024-05-20 22:16:46,136] - INFO: Epoch 4377/9999, Iter 218840: Loss = 0.016826147213578224, lr = [5e-05] +[2024-05-20 22:17:15,459] - INFO: Epoch 4378/9999, Iter 218860: Loss = 0.013697694055736065, lr = [5e-05] +[2024-05-20 22:17:43,303] - INFO: Epoch 4378/9999, Iter 218880: Loss = 0.011526594869792461, lr = [5e-05] +[2024-05-20 22:18:12,097] - INFO: Epoch 4379/9999, Iter 218900: Loss = 0.010535571724176407, lr = [5e-05] +[2024-05-20 22:18:39,177] - INFO: Epoch 4379/9999, Iter 218920: Loss = 0.012429588474333286, lr = [5e-05] +[2024-05-20 22:19:07,277] - INFO: Epoch 4379/9999, Iter 218940: Loss = 0.010657946579158306, lr = [5e-05] +[2024-05-20 22:19:36,403] - INFO: Epoch 4380/9999, Iter 218960: Loss = 0.010090953670442104, lr = [5e-05] +[2024-05-20 22:20:03,043] - INFO: Epoch 4380/9999, Iter 218980: Loss = 0.011905497871339321, lr = [5e-05] +[2024-05-20 22:20:29,081] - INFO: Evaluate at epoch 4380! +[2024-05-20 22:20:33,211] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 22:20:33,211] - INFO: Eval PSNR (current): 37.919 (4380) SSIM (current): 0.9605 (4380) +[2024-05-20 22:20:33,211] - INFO: Evaluation over. +[2024-05-20 22:20:37,751] - INFO: Epoch 4381/9999, Iter 219000: Loss = 0.010636704973876476, lr = [5e-05] +[2024-05-20 22:21:06,147] - INFO: Epoch 4381/9999, Iter 219020: Loss = 0.012712372466921806, lr = [5e-05] +[2024-05-20 22:21:34,419] - INFO: Epoch 4381/9999, Iter 219040: Loss = 0.009983343072235584, lr = [5e-05] +[2024-05-20 22:22:02,060] - INFO: Epoch 4382/9999, Iter 219060: Loss = 0.013855175115168095, lr = [5e-05] +[2024-05-20 22:22:29,515] - INFO: Epoch 4382/9999, Iter 219080: Loss = 0.012538008391857147, lr = [5e-05] +[2024-05-20 22:22:58,459] - INFO: Epoch 4383/9999, Iter 219100: Loss = 0.011640266515314579, lr = [5e-05] +[2024-05-20 22:23:24,980] - INFO: Epoch 4383/9999, Iter 219120: Loss = 0.0129820816218853, lr = [5e-05] +[2024-05-20 22:23:51,947] - INFO: Epoch 4383/9999, Iter 219140: Loss = 0.014929060824215412, lr = [5e-05] +[2024-05-20 22:24:21,619] - INFO: Epoch 4384/9999, Iter 219160: Loss = 0.01399928331375122, lr = [5e-05] +[2024-05-20 22:24:48,719] - INFO: Epoch 4384/9999, Iter 219180: Loss = 0.008862150833010674, lr = [5e-05] +[2024-05-20 22:25:17,127] - INFO: Epoch 4385/9999, Iter 219200: Loss = 0.015093395486474037, lr = [5e-05] +[2024-05-20 22:25:43,855] - INFO: Epoch 4385/9999, Iter 219220: Loss = 0.009664098732173443, lr = [5e-05] +[2024-05-20 22:26:11,830] - INFO: Epoch 4385/9999, Iter 219240: Loss = 0.011636663228273392, lr = [5e-05] +[2024-05-20 22:26:24,342] - INFO: Evaluate at epoch 4385! +[2024-05-20 22:26:28,431] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 22:26:28,432] - INFO: Eval PSNR (current): 37.977 (4385) SSIM (current): 0.9607 (4385) +[2024-05-20 22:26:28,432] - INFO: Evaluation over. +[2024-05-20 22:26:46,878] - INFO: Epoch 4386/9999, Iter 219260: Loss = 0.01262043695896864, lr = [5e-05] +[2024-05-20 22:27:14,787] - INFO: Epoch 4386/9999, Iter 219280: Loss = 0.016467615962028503, lr = [5e-05] +[2024-05-20 22:27:43,651] - INFO: Epoch 4387/9999, Iter 219300: Loss = 0.012306785210967064, lr = [5e-05] +[2024-05-20 22:28:11,543] - INFO: Epoch 4387/9999, Iter 219320: Loss = 0.009284768253564835, lr = [5e-05] +[2024-05-20 22:28:39,697] - INFO: Epoch 4387/9999, Iter 219340: Loss = 0.007593247108161449, lr = [5e-05] +[2024-05-20 22:29:07,750] - INFO: Epoch 4388/9999, Iter 219360: Loss = 0.008763040415942669, lr = [5e-05] +[2024-05-20 22:29:36,007] - INFO: Epoch 4388/9999, Iter 219380: Loss = 0.013645165599882603, lr = [5e-05] +[2024-05-20 22:30:05,299] - INFO: Epoch 4389/9999, Iter 219400: Loss = 0.013012271374464035, lr = [5e-05] +[2024-05-20 22:30:33,559] - INFO: Epoch 4389/9999, Iter 219420: Loss = 0.014493524096906185, lr = [5e-05] +[2024-05-20 22:31:00,720] - INFO: Epoch 4389/9999, Iter 219440: Loss = 0.013487108051776886, lr = [5e-05] +[2024-05-20 22:31:29,675] - INFO: Epoch 4390/9999, Iter 219460: Loss = 0.012157833203673363, lr = [5e-05] +[2024-05-20 22:31:57,251] - INFO: Epoch 4390/9999, Iter 219480: Loss = 0.013019603677093983, lr = [5e-05] +[2024-05-20 22:32:24,316] - INFO: Evaluate at epoch 4390! +[2024-05-20 22:32:28,441] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 22:32:28,441] - INFO: Eval PSNR (current): 37.976 (4390) SSIM (current): 0.9608 (4390) +[2024-05-20 22:32:28,441] - INFO: Evaluation over. +[2024-05-20 22:32:32,709] - INFO: Epoch 4391/9999, Iter 219500: Loss = 0.014414279721677303, lr = [5e-05] +[2024-05-20 22:33:01,223] - INFO: Epoch 4391/9999, Iter 219520: Loss = 0.01721366122364998, lr = [5e-05] +[2024-05-20 22:33:28,566] - INFO: Epoch 4391/9999, Iter 219540: Loss = 0.011483234353363514, lr = [5e-05] +[2024-05-20 22:33:56,990] - INFO: Epoch 4392/9999, Iter 219560: Loss = 0.01650974527001381, lr = [5e-05] +[2024-05-20 22:34:24,339] - INFO: Epoch 4392/9999, Iter 219580: Loss = 0.011852370575070381, lr = [5e-05] +[2024-05-20 22:34:53,903] - INFO: Epoch 4393/9999, Iter 219600: Loss = 0.010089115239679813, lr = [5e-05] +[2024-05-20 22:35:22,705] - INFO: Epoch 4393/9999, Iter 219620: Loss = 0.015140591189265251, lr = [5e-05] +[2024-05-20 22:35:49,973] - INFO: Epoch 4393/9999, Iter 219640: Loss = 0.008925349451601505, lr = [5e-05] +[2024-05-20 22:36:19,411] - INFO: Epoch 4394/9999, Iter 219660: Loss = 0.01081604789942503, lr = [5e-05] +[2024-05-20 22:36:47,307] - INFO: Epoch 4394/9999, Iter 219680: Loss = 0.007620574906468391, lr = [5e-05] +[2024-05-20 22:37:15,791] - INFO: Epoch 4395/9999, Iter 219700: Loss = 0.010308118537068367, lr = [5e-05] +[2024-05-20 22:37:42,643] - INFO: Epoch 4395/9999, Iter 219720: Loss = 0.011466600000858307, lr = [5e-05] +[2024-05-20 22:38:11,494] - INFO: Epoch 4395/9999, Iter 219740: Loss = 0.012729531154036522, lr = [5e-05] +[2024-05-20 22:38:23,503] - INFO: Evaluate at epoch 4395! +[2024-05-20 22:38:27,628] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 22:38:27,628] - INFO: Eval PSNR (current): 37.974 (4395) SSIM (current): 0.9607 (4395) +[2024-05-20 22:38:27,629] - INFO: Evaluation over. +[2024-05-20 22:38:46,547] - INFO: Epoch 4396/9999, Iter 219760: Loss = 0.01372302882373333, lr = [5e-05] +[2024-05-20 22:39:14,682] - INFO: Epoch 4396/9999, Iter 219780: Loss = 0.016853194683790207, lr = [5e-05] +[2024-05-20 22:39:43,239] - INFO: Epoch 4397/9999, Iter 219800: Loss = 0.01363503746688366, lr = [5e-05] +[2024-05-20 22:40:10,678] - INFO: Epoch 4397/9999, Iter 219820: Loss = 0.013831326737999916, lr = [5e-05] +[2024-05-20 22:40:38,603] - INFO: Epoch 4397/9999, Iter 219840: Loss = 0.012619676068425179, lr = [5e-05] +[2024-05-20 22:41:06,903] - INFO: Epoch 4398/9999, Iter 219860: Loss = 0.014556542038917542, lr = [5e-05] +[2024-05-20 22:41:33,938] - INFO: Epoch 4398/9999, Iter 219880: Loss = 0.016284719109535217, lr = [5e-05] +[2024-05-20 22:42:03,804] - INFO: Epoch 4399/9999, Iter 219900: Loss = 0.011959332972764969, lr = [5e-05] +[2024-05-20 22:42:31,625] - INFO: Epoch 4399/9999, Iter 219920: Loss = 0.019841143861413002, lr = [5e-05] +[2024-05-20 22:43:00,055] - INFO: Epoch 4399/9999, Iter 219940: Loss = 0.013097107410430908, lr = [5e-05] +[2024-05-20 22:43:28,187] - INFO: Epoch 4400/9999, Iter 219960: Loss = 0.02303393743932247, lr = [5e-05] +[2024-05-20 22:43:55,671] - INFO: Epoch 4400/9999, Iter 219980: Loss = 0.011760170571506023, lr = [5e-05] +[2024-05-20 22:44:22,144] - INFO: Evaluate at epoch 4400! +[2024-05-20 22:44:26,324] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 22:44:26,325] - INFO: Eval PSNR (current): 37.946 (4400) SSIM (current): 0.9606 (4400) +[2024-05-20 22:44:26,325] - INFO: Evaluation over. +[2024-05-20 22:44:30,858] - INFO: Epoch 4401/9999, Iter 220000: Loss = 0.017985381186008453, lr = [5e-05] +[2024-05-20 22:44:57,930] - INFO: Epoch 4401/9999, Iter 220020: Loss = 0.010528050363063812, lr = [5e-05] +[2024-05-20 22:45:24,659] - INFO: Epoch 4401/9999, Iter 220040: Loss = 0.012411980889737606, lr = [5e-05] +[2024-05-20 22:45:53,838] - INFO: Epoch 4402/9999, Iter 220060: Loss = 0.026116563007235527, lr = [5e-05] +[2024-05-20 22:46:22,077] - INFO: Epoch 4402/9999, Iter 220080: Loss = 0.009214627556502819, lr = [5e-05] +[2024-05-20 22:46:51,039] - INFO: Epoch 4403/9999, Iter 220100: Loss = 0.01630723476409912, lr = [5e-05] +[2024-05-20 22:47:19,071] - INFO: Epoch 4403/9999, Iter 220120: Loss = 0.010278397239744663, lr = [5e-05] +[2024-05-20 22:47:46,512] - INFO: Epoch 4403/9999, Iter 220140: Loss = 0.013623787090182304, lr = [5e-05] +[2024-05-20 22:48:15,291] - INFO: Epoch 4404/9999, Iter 220160: Loss = 0.014734582044184208, lr = [5e-05] +[2024-05-20 22:48:44,162] - INFO: Epoch 4404/9999, Iter 220180: Loss = 0.018332792446017265, lr = [5e-05] +[2024-05-20 22:49:12,395] - INFO: Epoch 4405/9999, Iter 220200: Loss = 0.009715036489069462, lr = [5e-05] +[2024-05-20 22:49:40,135] - INFO: Epoch 4405/9999, Iter 220220: Loss = 0.015642112120985985, lr = [5e-05] +[2024-05-20 22:50:08,091] - INFO: Epoch 4405/9999, Iter 220240: Loss = 0.013846875168383121, lr = [5e-05] +[2024-05-20 22:50:19,640] - INFO: Evaluate at epoch 4405! +[2024-05-20 22:50:23,764] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 22:50:23,764] - INFO: Eval PSNR (current): 37.990 (4405) SSIM (current): 0.9608 (4405) +[2024-05-20 22:50:23,764] - INFO: Evaluation over. +[2024-05-20 22:50:42,055] - INFO: Epoch 4406/9999, Iter 220260: Loss = 0.009102166630327702, lr = [5e-05] +[2024-05-20 22:51:10,446] - INFO: Epoch 4406/9999, Iter 220280: Loss = 0.010503373108804226, lr = [5e-05] +[2024-05-20 22:51:38,327] - INFO: Epoch 4407/9999, Iter 220300: Loss = 0.016690511256456375, lr = [5e-05] +[2024-05-20 22:52:05,411] - INFO: Epoch 4407/9999, Iter 220320: Loss = 0.0099295973777771, lr = [5e-05] +[2024-05-20 22:52:32,557] - INFO: Epoch 4407/9999, Iter 220340: Loss = 0.013515841215848923, lr = [5e-05] +[2024-05-20 22:53:01,705] - INFO: Epoch 4408/9999, Iter 220360: Loss = 0.009722557850182056, lr = [5e-05] +[2024-05-20 22:53:29,083] - INFO: Epoch 4408/9999, Iter 220380: Loss = 0.009174743667244911, lr = [5e-05] +[2024-05-20 22:53:58,379] - INFO: Epoch 4409/9999, Iter 220400: Loss = 0.012637387029826641, lr = [5e-05] +[2024-05-20 22:54:26,539] - INFO: Epoch 4409/9999, Iter 220420: Loss = 0.013300629332661629, lr = [5e-05] +[2024-05-20 22:54:54,315] - INFO: Epoch 4409/9999, Iter 220440: Loss = 0.013422769494354725, lr = [5e-05] +[2024-05-20 22:55:23,781] - INFO: Epoch 4410/9999, Iter 220460: Loss = 0.013293352909386158, lr = [5e-05] +[2024-05-20 22:55:51,786] - INFO: Epoch 4410/9999, Iter 220480: Loss = 0.01701270043849945, lr = [5e-05] +[2024-05-20 22:56:17,152] - INFO: Evaluate at epoch 4410! +[2024-05-20 22:56:21,281] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 22:56:21,281] - INFO: Eval PSNR (current): 37.946 (4410) SSIM (current): 0.9606 (4410) +[2024-05-20 22:56:21,281] - INFO: Evaluation over. +[2024-05-20 22:56:25,731] - INFO: Epoch 4411/9999, Iter 220500: Loss = 0.009817210957407951, lr = [5e-05] +[2024-05-20 22:56:54,084] - INFO: Epoch 4411/9999, Iter 220520: Loss = 0.012750056572258472, lr = [5e-05] +[2024-05-20 22:57:22,106] - INFO: Epoch 4411/9999, Iter 220540: Loss = 0.01077764667570591, lr = [5e-05] +[2024-05-20 22:57:50,843] - INFO: Epoch 4412/9999, Iter 220560: Loss = 0.012207192368805408, lr = [5e-05] +[2024-05-20 22:58:18,299] - INFO: Epoch 4412/9999, Iter 220580: Loss = 0.011314937844872475, lr = [5e-05] +[2024-05-20 22:58:47,116] - INFO: Epoch 4413/9999, Iter 220600: Loss = 0.013243992812931538, lr = [5e-05] +[2024-05-20 22:59:15,475] - INFO: Epoch 4413/9999, Iter 220620: Loss = 0.008162996731698513, lr = [5e-05] +[2024-05-20 22:59:43,759] - INFO: Epoch 4413/9999, Iter 220640: Loss = 0.008157249540090561, lr = [5e-05] +[2024-05-20 23:00:13,259] - INFO: Epoch 4414/9999, Iter 220660: Loss = 0.014659164473414421, lr = [5e-05] +[2024-05-20 23:00:40,669] - INFO: Epoch 4414/9999, Iter 220680: Loss = 0.01236799918115139, lr = [5e-05] +[2024-05-20 23:01:09,670] - INFO: Epoch 4415/9999, Iter 220700: Loss = 0.013747429475188255, lr = [5e-05] +[2024-05-20 23:01:37,745] - INFO: Epoch 4415/9999, Iter 220720: Loss = 0.011955691501498222, lr = [5e-05] +[2024-05-20 23:02:05,837] - INFO: Epoch 4415/9999, Iter 220740: Loss = 0.010988044552505016, lr = [5e-05] +[2024-05-20 23:02:17,796] - INFO: Evaluate at epoch 4415! +[2024-05-20 23:02:21,919] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 23:02:21,919] - INFO: Eval PSNR (current): 37.996 (4415) SSIM (current): 0.9608 (4415) +[2024-05-20 23:02:21,919] - INFO: Evaluation over. +[2024-05-20 23:02:40,525] - INFO: Epoch 4416/9999, Iter 220760: Loss = 0.01856783963739872, lr = [5e-05] +[2024-05-20 23:03:08,067] - INFO: Epoch 4416/9999, Iter 220780: Loss = 0.01206823717802763, lr = [5e-05] +[2024-05-20 23:03:36,308] - INFO: Epoch 4417/9999, Iter 220800: Loss = 0.0147854620590806, lr = [5e-05] +[2024-05-20 23:04:03,975] - INFO: Epoch 4417/9999, Iter 220820: Loss = 0.016794567927718163, lr = [5e-05] +[2024-05-20 23:04:32,390] - INFO: Epoch 4417/9999, Iter 220840: Loss = 0.013370690867304802, lr = [5e-05] +[2024-05-20 23:05:00,824] - INFO: Epoch 4418/9999, Iter 220860: Loss = 0.015023951418697834, lr = [5e-05] +[2024-05-20 23:05:28,603] - INFO: Epoch 4418/9999, Iter 220880: Loss = 0.01930920034646988, lr = [5e-05] +[2024-05-20 23:05:56,821] - INFO: Epoch 4419/9999, Iter 220900: Loss = 0.013371311128139496, lr = [5e-05] +[2024-05-20 23:06:24,809] - INFO: Epoch 4419/9999, Iter 220920: Loss = 0.01271348912268877, lr = [5e-05] +[2024-05-20 23:06:52,403] - INFO: Epoch 4419/9999, Iter 220940: Loss = 0.016652928665280342, lr = [5e-05] +[2024-05-20 23:07:21,402] - INFO: Epoch 4420/9999, Iter 220960: Loss = 0.010572435334324837, lr = [5e-05] +[2024-05-20 23:07:49,510] - INFO: Epoch 4420/9999, Iter 220980: Loss = 0.008626949973404408, lr = [5e-05] +[2024-05-20 23:08:15,173] - INFO: Evaluate at epoch 4420! +[2024-05-20 23:08:19,339] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 23:08:19,339] - INFO: Eval PSNR (current): 37.995 (4420) SSIM (current): 0.9609 (4420) +[2024-05-20 23:08:19,339] - INFO: Evaluation over. +[2024-05-20 23:08:23,890] - INFO: Epoch 4421/9999, Iter 221000: Loss = 0.014690388925373554, lr = [5e-05] +[2024-05-20 23:08:50,807] - INFO: Epoch 4421/9999, Iter 221020: Loss = 0.015251906588673592, lr = [5e-05] +[2024-05-20 23:09:18,211] - INFO: Epoch 4421/9999, Iter 221040: Loss = 0.011058542877435684, lr = [5e-05] +[2024-05-20 23:09:46,674] - INFO: Epoch 4422/9999, Iter 221060: Loss = 0.01780766434967518, lr = [5e-05] +[2024-05-20 23:10:14,007] - INFO: Epoch 4422/9999, Iter 221080: Loss = 0.01427521277219057, lr = [5e-05] +[2024-05-20 23:10:43,150] - INFO: Epoch 4423/9999, Iter 221100: Loss = 0.013418817892670631, lr = [5e-05] +[2024-05-20 23:11:10,668] - INFO: Epoch 4423/9999, Iter 221120: Loss = 0.01203249767422676, lr = [5e-05] +[2024-05-20 23:11:37,420] - INFO: Epoch 4423/9999, Iter 221140: Loss = 0.017344171181321144, lr = [5e-05] +[2024-05-20 23:12:05,780] - INFO: Epoch 4424/9999, Iter 221160: Loss = 0.013957182876765728, lr = [5e-05] +[2024-05-20 23:12:33,972] - INFO: Epoch 4424/9999, Iter 221180: Loss = 0.014987001195549965, lr = [5e-05] +[2024-05-20 23:13:03,251] - INFO: Epoch 4425/9999, Iter 221200: Loss = 0.01289724837988615, lr = [5e-05] +[2024-05-20 23:13:31,107] - INFO: Epoch 4425/9999, Iter 221220: Loss = 0.009780148975551128, lr = [5e-05] +[2024-05-20 23:13:58,117] - INFO: Epoch 4425/9999, Iter 221240: Loss = 0.011740423738956451, lr = [5e-05] +[2024-05-20 23:14:10,091] - INFO: Evaluate at epoch 4425! +[2024-05-20 23:14:14,213] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 23:14:14,213] - INFO: Eval PSNR (current): 37.929 (4425) SSIM (current): 0.9606 (4425) +[2024-05-20 23:14:14,213] - INFO: Evaluation over. +[2024-05-20 23:14:32,040] - INFO: Epoch 4426/9999, Iter 221260: Loss = 0.02077845297753811, lr = [5e-05] +[2024-05-20 23:15:00,773] - INFO: Epoch 4426/9999, Iter 221280: Loss = 0.007046916987746954, lr = [5e-05] +[2024-05-20 23:15:29,267] - INFO: Epoch 4427/9999, Iter 221300: Loss = 0.02004961669445038, lr = [5e-05] +[2024-05-20 23:15:56,996] - INFO: Epoch 4427/9999, Iter 221320: Loss = 0.01521760318428278, lr = [5e-05] +[2024-05-20 23:16:25,657] - INFO: Epoch 4427/9999, Iter 221340: Loss = 0.011786425486207008, lr = [5e-05] +[2024-05-20 23:16:53,167] - INFO: Epoch 4428/9999, Iter 221360: Loss = 0.011946270242333412, lr = [5e-05] +[2024-05-20 23:17:21,151] - INFO: Epoch 4428/9999, Iter 221380: Loss = 0.014454183168709278, lr = [5e-05] +[2024-05-20 23:17:50,150] - INFO: Epoch 4429/9999, Iter 221400: Loss = 0.012422642670571804, lr = [5e-05] +[2024-05-20 23:18:18,703] - INFO: Epoch 4429/9999, Iter 221420: Loss = 0.018389815464615822, lr = [5e-05] +[2024-05-20 23:18:45,560] - INFO: Epoch 4429/9999, Iter 221440: Loss = 0.010618803091347218, lr = [5e-05] +[2024-05-20 23:19:15,383] - INFO: Epoch 4430/9999, Iter 221460: Loss = 0.013639383018016815, lr = [5e-05] +[2024-05-20 23:19:42,997] - INFO: Epoch 4430/9999, Iter 221480: Loss = 0.013896966353058815, lr = [5e-05] +[2024-05-20 23:20:09,103] - INFO: Evaluate at epoch 4430! +[2024-05-20 23:20:13,228] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 23:20:13,228] - INFO: Eval PSNR (current): 37.985 (4430) SSIM (current): 0.9608 (4430) +[2024-05-20 23:20:13,228] - INFO: Evaluation over. +[2024-05-20 23:20:17,837] - INFO: Epoch 4431/9999, Iter 221500: Loss = 0.013426566496491432, lr = [5e-05] +[2024-05-20 23:20:45,483] - INFO: Epoch 4431/9999, Iter 221520: Loss = 0.013559263199567795, lr = [5e-05] +[2024-05-20 23:21:12,926] - INFO: Epoch 4431/9999, Iter 221540: Loss = 0.012930826283991337, lr = [5e-05] +[2024-05-20 23:21:41,543] - INFO: Epoch 4432/9999, Iter 221560: Loss = 0.017261002212762833, lr = [5e-05] +[2024-05-20 23:22:08,863] - INFO: Epoch 4432/9999, Iter 221580: Loss = 0.012960073538124561, lr = [5e-05] +[2024-05-20 23:22:37,967] - INFO: Epoch 4433/9999, Iter 221600: Loss = 0.01338188536465168, lr = [5e-05] +[2024-05-20 23:23:06,155] - INFO: Epoch 4433/9999, Iter 221620: Loss = 0.014139504171907902, lr = [5e-05] +[2024-05-20 23:23:33,788] - INFO: Epoch 4433/9999, Iter 221640: Loss = 0.012796423397958279, lr = [5e-05] +[2024-05-20 23:24:03,824] - INFO: Epoch 4434/9999, Iter 221660: Loss = 0.01059614960104227, lr = [5e-05] +[2024-05-20 23:24:31,944] - INFO: Epoch 4434/9999, Iter 221680: Loss = 0.012090779840946198, lr = [5e-05] +[2024-05-20 23:25:00,655] - INFO: Epoch 4435/9999, Iter 221700: Loss = 0.01542182918637991, lr = [5e-05] +[2024-05-20 23:25:28,775] - INFO: Epoch 4435/9999, Iter 221720: Loss = 0.014789385721087456, lr = [5e-05] +[2024-05-20 23:25:57,084] - INFO: Epoch 4435/9999, Iter 221740: Loss = 0.010510320775210857, lr = [5e-05] +[2024-05-20 23:26:09,111] - INFO: Evaluate at epoch 4435! +[2024-05-20 23:26:13,239] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 23:26:13,240] - INFO: Eval PSNR (current): 37.935 (4435) SSIM (current): 0.9608 (4435) +[2024-05-20 23:26:13,240] - INFO: Evaluation over. +[2024-05-20 23:26:31,417] - INFO: Epoch 4436/9999, Iter 221760: Loss = 0.010666263289749622, lr = [5e-05] +[2024-05-20 23:26:58,238] - INFO: Epoch 4436/9999, Iter 221780: Loss = 0.014236534014344215, lr = [5e-05] +[2024-05-20 23:27:26,969] - INFO: Epoch 4437/9999, Iter 221800: Loss = 0.013732497580349445, lr = [5e-05] +[2024-05-20 23:27:54,243] - INFO: Epoch 4437/9999, Iter 221820: Loss = 0.01585586741566658, lr = [5e-05] +[2024-05-20 23:28:22,354] - INFO: Epoch 4437/9999, Iter 221840: Loss = 0.022026464343070984, lr = [5e-05] +[2024-05-20 23:28:51,079] - INFO: Epoch 4438/9999, Iter 221860: Loss = 0.01151016354560852, lr = [5e-05] +[2024-05-20 23:29:18,914] - INFO: Epoch 4438/9999, Iter 221880: Loss = 0.011924021877348423, lr = [5e-05] +[2024-05-20 23:29:48,231] - INFO: Epoch 4439/9999, Iter 221900: Loss = 0.013072269037365913, lr = [5e-05] +[2024-05-20 23:30:15,095] - INFO: Epoch 4439/9999, Iter 221920: Loss = 0.008491710759699345, lr = [5e-05] +[2024-05-20 23:30:42,067] - INFO: Epoch 4439/9999, Iter 221940: Loss = 0.0129256471991539, lr = [5e-05] +[2024-05-20 23:31:11,313] - INFO: Epoch 4440/9999, Iter 221960: Loss = 0.010956713929772377, lr = [5e-05] +[2024-05-20 23:31:38,932] - INFO: Epoch 4440/9999, Iter 221980: Loss = 0.015403566882014275, lr = [5e-05] +[2024-05-20 23:32:04,715] - INFO: Evaluate at epoch 4440! +[2024-05-20 23:32:08,840] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 23:32:08,840] - INFO: Eval PSNR (current): 37.922 (4440) SSIM (current): 0.9607 (4440) +[2024-05-20 23:32:08,841] - INFO: Evaluation over. +[2024-05-20 23:32:13,677] - INFO: Epoch 4441/9999, Iter 222000: Loss = 0.012338192202150822, lr = [5e-05] +[2024-05-20 23:32:41,481] - INFO: Epoch 4441/9999, Iter 222020: Loss = 0.015314877033233643, lr = [5e-05] +[2024-05-20 23:33:09,080] - INFO: Epoch 4441/9999, Iter 222040: Loss = 0.011671923100948334, lr = [5e-05] +[2024-05-20 23:33:38,107] - INFO: Epoch 4442/9999, Iter 222060: Loss = 0.009143847040832043, lr = [5e-05] +[2024-05-20 23:34:05,860] - INFO: Epoch 4442/9999, Iter 222080: Loss = 0.01523506734520197, lr = [5e-05] +[2024-05-20 23:34:34,067] - INFO: Epoch 4443/9999, Iter 222100: Loss = 0.013060236349701881, lr = [5e-05] +[2024-05-20 23:35:01,912] - INFO: Epoch 4443/9999, Iter 222120: Loss = 0.015942882746458054, lr = [5e-05] +[2024-05-20 23:35:28,667] - INFO: Epoch 4443/9999, Iter 222140: Loss = 0.014405081048607826, lr = [5e-05] +[2024-05-20 23:35:57,345] - INFO: Epoch 4444/9999, Iter 222160: Loss = 0.014739323407411575, lr = [5e-05] +[2024-05-20 23:36:24,827] - INFO: Epoch 4444/9999, Iter 222180: Loss = 0.016032127663493156, lr = [5e-05] +[2024-05-20 23:36:53,082] - INFO: Epoch 4445/9999, Iter 222200: Loss = 0.011484324932098389, lr = [5e-05] +[2024-05-20 23:37:21,255] - INFO: Epoch 4445/9999, Iter 222220: Loss = 0.013649467378854752, lr = [5e-05] +[2024-05-20 23:37:48,544] - INFO: Epoch 4445/9999, Iter 222240: Loss = 0.018622979521751404, lr = [5e-05] +[2024-05-20 23:38:00,905] - INFO: Evaluate at epoch 4445! +[2024-05-20 23:38:05,037] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 23:38:05,038] - INFO: Eval PSNR (current): 38.017 (4445) SSIM (current): 0.9609 (4445) +[2024-05-20 23:38:05,038] - INFO: Evaluation over. +[2024-05-20 23:38:23,427] - INFO: Epoch 4446/9999, Iter 222260: Loss = 0.013148700818419456, lr = [5e-05] +[2024-05-20 23:38:51,524] - INFO: Epoch 4446/9999, Iter 222280: Loss = 0.010255244560539722, lr = [5e-05] +[2024-05-20 23:39:19,907] - INFO: Epoch 4447/9999, Iter 222300: Loss = 0.009163863956928253, lr = [5e-05] +[2024-05-20 23:39:47,717] - INFO: Epoch 4447/9999, Iter 222320: Loss = 0.014140307903289795, lr = [5e-05] +[2024-05-20 23:40:15,723] - INFO: Epoch 4447/9999, Iter 222340: Loss = 0.00841872114688158, lr = [5e-05] +[2024-05-20 23:40:44,517] - INFO: Epoch 4448/9999, Iter 222360: Loss = 0.015796450898051262, lr = [5e-05] +[2024-05-20 23:41:11,491] - INFO: Epoch 4448/9999, Iter 222380: Loss = 0.008407419547438622, lr = [5e-05] +[2024-05-20 23:41:40,342] - INFO: Epoch 4449/9999, Iter 222400: Loss = 0.012784517370164394, lr = [5e-05] +[2024-05-20 23:42:07,809] - INFO: Epoch 4449/9999, Iter 222420: Loss = 0.011675982736051083, lr = [5e-05] +[2024-05-20 23:42:35,791] - INFO: Epoch 4449/9999, Iter 222440: Loss = 0.013047360815107822, lr = [5e-05] +[2024-05-20 23:43:03,951] - INFO: Epoch 4450/9999, Iter 222460: Loss = 0.013746512122452259, lr = [5e-05] +[2024-05-20 23:43:31,027] - INFO: Epoch 4450/9999, Iter 222480: Loss = 0.010349201038479805, lr = [5e-05] +[2024-05-20 23:43:56,996] - INFO: Evaluate at epoch 4450! +[2024-05-20 23:44:01,119] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 23:44:01,119] - INFO: Eval PSNR (current): 37.980 (4450) SSIM (current): 0.9608 (4450) +[2024-05-20 23:44:01,119] - INFO: Evaluation over. +[2024-05-20 23:44:05,782] - INFO: Epoch 4451/9999, Iter 222500: Loss = 0.011774805374443531, lr = [5e-05] +[2024-05-20 23:44:33,734] - INFO: Epoch 4451/9999, Iter 222520: Loss = 0.007373965345323086, lr = [5e-05] +[2024-05-20 23:45:01,083] - INFO: Epoch 4451/9999, Iter 222540: Loss = 0.010385424830019474, lr = [5e-05] +[2024-05-20 23:45:30,147] - INFO: Epoch 4452/9999, Iter 222560: Loss = 0.017269210889935493, lr = [5e-05] +[2024-05-20 23:45:58,169] - INFO: Epoch 4452/9999, Iter 222580: Loss = 0.013870240189135075, lr = [5e-05] +[2024-05-20 23:46:27,259] - INFO: Epoch 4453/9999, Iter 222600: Loss = 0.008335480466485023, lr = [5e-05] +[2024-05-20 23:46:54,315] - INFO: Epoch 4453/9999, Iter 222620: Loss = 0.018094375729560852, lr = [5e-05] +[2024-05-20 23:47:21,486] - INFO: Epoch 4453/9999, Iter 222640: Loss = 0.012921921908855438, lr = [5e-05] +[2024-05-20 23:47:49,904] - INFO: Epoch 4454/9999, Iter 222660: Loss = 0.011167703196406364, lr = [5e-05] +[2024-05-20 23:48:17,764] - INFO: Epoch 4454/9999, Iter 222680: Loss = 0.015003175474703312, lr = [5e-05] +[2024-05-20 23:48:46,470] - INFO: Epoch 4455/9999, Iter 222700: Loss = 0.010938907042145729, lr = [5e-05] +[2024-05-20 23:49:14,962] - INFO: Epoch 4455/9999, Iter 222720: Loss = 0.01389382965862751, lr = [5e-05] +[2024-05-20 23:49:42,789] - INFO: Epoch 4455/9999, Iter 222740: Loss = 0.01256325002759695, lr = [5e-05] +[2024-05-20 23:49:54,890] - INFO: Evaluate at epoch 4455! +[2024-05-20 23:49:59,011] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 23:49:59,011] - INFO: Eval PSNR (current): 38.000 (4455) SSIM (current): 0.9608 (4455) +[2024-05-20 23:49:59,011] - INFO: Evaluation over. +[2024-05-20 23:50:17,256] - INFO: Epoch 4456/9999, Iter 222760: Loss = 0.015384076163172722, lr = [5e-05] +[2024-05-20 23:50:44,075] - INFO: Epoch 4456/9999, Iter 222780: Loss = 0.015501955524086952, lr = [5e-05] +[2024-05-20 23:51:12,354] - INFO: Epoch 4457/9999, Iter 222800: Loss = 0.018108678981661797, lr = [5e-05] +[2024-05-20 23:51:40,476] - INFO: Epoch 4457/9999, Iter 222820: Loss = 0.010242859832942486, lr = [5e-05] +[2024-05-20 23:52:06,963] - INFO: Epoch 4457/9999, Iter 222840: Loss = 0.013608584180474281, lr = [5e-05] +[2024-05-20 23:52:36,492] - INFO: Epoch 4458/9999, Iter 222860: Loss = 0.0136298518627882, lr = [5e-05] +[2024-05-20 23:53:03,355] - INFO: Epoch 4458/9999, Iter 222880: Loss = 0.010453681461513042, lr = [5e-05] +[2024-05-20 23:53:31,603] - INFO: Epoch 4459/9999, Iter 222900: Loss = 0.013773838989436626, lr = [5e-05] +[2024-05-20 23:53:59,595] - INFO: Epoch 4459/9999, Iter 222920: Loss = 0.011435619555413723, lr = [5e-05] +[2024-05-20 23:54:27,403] - INFO: Epoch 4459/9999, Iter 222940: Loss = 0.013267981819808483, lr = [5e-05] +[2024-05-20 23:54:56,254] - INFO: Epoch 4460/9999, Iter 222960: Loss = 0.009082508273422718, lr = [5e-05] +[2024-05-20 23:55:24,893] - INFO: Epoch 4460/9999, Iter 222980: Loss = 0.00944256316870451, lr = [5e-05] +[2024-05-20 23:55:49,657] - INFO: Evaluate at epoch 4460! +[2024-05-20 23:55:53,780] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-20 23:55:53,780] - INFO: Eval PSNR (current): 37.976 (4460) SSIM (current): 0.9607 (4460) +[2024-05-20 23:55:53,780] - INFO: Evaluation over. +[2024-05-20 23:55:58,211] - INFO: Epoch 4461/9999, Iter 223000: Loss = 0.009326348081231117, lr = [5e-05] +[2024-05-20 23:56:26,487] - INFO: Epoch 4461/9999, Iter 223020: Loss = 0.013462483882904053, lr = [5e-05] +[2024-05-20 23:56:53,794] - INFO: Epoch 4461/9999, Iter 223040: Loss = 0.014247170649468899, lr = [5e-05] +[2024-05-20 23:57:22,424] - INFO: Epoch 4462/9999, Iter 223060: Loss = 0.015163514763116837, lr = [5e-05] +[2024-05-20 23:57:50,246] - INFO: Epoch 4462/9999, Iter 223080: Loss = 0.011408781632781029, lr = [5e-05] +[2024-05-20 23:58:18,378] - INFO: Epoch 4463/9999, Iter 223100: Loss = 0.013942504301667213, lr = [5e-05] +[2024-05-20 23:58:46,611] - INFO: Epoch 4463/9999, Iter 223120: Loss = 0.018078207969665527, lr = [5e-05] +[2024-05-20 23:59:13,971] - INFO: Epoch 4463/9999, Iter 223140: Loss = 0.01992451213300228, lr = [5e-05] +[2024-05-20 23:59:43,835] - INFO: Epoch 4464/9999, Iter 223160: Loss = 0.013117174617946148, lr = [5e-05] +[2024-05-21 00:00:11,506] - INFO: Epoch 4464/9999, Iter 223180: Loss = 0.008309093303978443, lr = [5e-05] +[2024-05-21 00:00:39,691] - INFO: Epoch 4465/9999, Iter 223200: Loss = 0.016467023640871048, lr = [5e-05] +[2024-05-21 00:01:08,051] - INFO: Epoch 4465/9999, Iter 223220: Loss = 0.010600471869111061, lr = [5e-05] +[2024-05-21 00:01:35,996] - INFO: Epoch 4465/9999, Iter 223240: Loss = 0.01382235623896122, lr = [5e-05] +[2024-05-21 00:01:48,295] - INFO: Evaluate at epoch 4465! +[2024-05-21 00:01:52,419] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-21 00:01:52,420] - INFO: Eval PSNR (current): 37.974 (4465) SSIM (current): 0.9608 (4465) +[2024-05-21 00:01:52,420] - INFO: Evaluation over. +[2024-05-21 00:02:09,914] - INFO: Epoch 4466/9999, Iter 223260: Loss = 0.011511802673339844, lr = [5e-05] +[2024-05-21 00:02:37,762] - INFO: Epoch 4466/9999, Iter 223280: Loss = 0.008493541739881039, lr = [5e-05] +[2024-05-21 00:03:05,801] - INFO: Epoch 4467/9999, Iter 223300: Loss = 0.008701091632246971, lr = [5e-05] +[2024-05-21 00:03:33,745] - INFO: Epoch 4467/9999, Iter 223320: Loss = 0.013443143106997013, lr = [5e-05] +[2024-05-21 00:04:01,412] - INFO: Epoch 4467/9999, Iter 223340: Loss = 0.016312649473547935, lr = [5e-05] +[2024-05-21 00:04:29,511] - INFO: Epoch 4468/9999, Iter 223360: Loss = 0.011324935592710972, lr = [5e-05] +[2024-05-21 00:04:57,082] - INFO: Epoch 4468/9999, Iter 223380: Loss = 0.009057140909135342, lr = [5e-05] +[2024-05-21 00:05:26,651] - INFO: Epoch 4469/9999, Iter 223400: Loss = 0.015162751078605652, lr = [5e-05] +[2024-05-21 00:05:54,354] - INFO: Epoch 4469/9999, Iter 223420: Loss = 0.010785438120365143, lr = [5e-05] +[2024-05-21 00:06:21,887] - INFO: Epoch 4469/9999, Iter 223440: Loss = 0.012610464356839657, lr = [5e-05] +[2024-05-21 00:06:51,524] - INFO: Epoch 4470/9999, Iter 223460: Loss = 0.012256293557584286, lr = [5e-05] +[2024-05-21 00:07:19,486] - INFO: Epoch 4470/9999, Iter 223480: Loss = 0.016909567639231682, lr = [5e-05] +[2024-05-21 00:07:45,758] - INFO: Evaluate at epoch 4470! +[2024-05-21 00:07:49,878] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-21 00:07:49,878] - INFO: Eval PSNR (current): 37.975 (4470) SSIM (current): 0.9608 (4470) +[2024-05-21 00:07:49,878] - INFO: Evaluation over. +[2024-05-21 00:07:54,250] - INFO: Epoch 4471/9999, Iter 223500: Loss = 0.017671404406428337, lr = [5e-05] +[2024-05-21 00:08:22,421] - INFO: Epoch 4471/9999, Iter 223520: Loss = 0.0178515762090683, lr = [5e-05] +[2024-05-21 00:08:50,331] - INFO: Epoch 4471/9999, Iter 223540: Loss = 0.01577840745449066, lr = [5e-05] +[2024-05-21 00:09:19,591] - INFO: Epoch 4472/9999, Iter 223560: Loss = 0.014930051751434803, lr = [5e-05] +[2024-05-21 00:09:47,215] - INFO: Epoch 4472/9999, Iter 223580: Loss = 0.015862854197621346, lr = [5e-05] +[2024-05-21 00:10:15,683] - INFO: Epoch 4473/9999, Iter 223600: Loss = 0.010177195072174072, lr = [5e-05] +[2024-05-21 00:10:42,998] - INFO: Epoch 4473/9999, Iter 223620: Loss = 0.015657521784305573, lr = [5e-05] +[2024-05-21 00:11:10,963] - INFO: Epoch 4473/9999, Iter 223640: Loss = 0.015227973461151123, lr = [5e-05] +[2024-05-21 00:11:38,973] - INFO: Epoch 4474/9999, Iter 223660: Loss = 0.013918845914304256, lr = [5e-05] +[2024-05-21 00:12:06,539] - INFO: Epoch 4474/9999, Iter 223680: Loss = 0.011504915542900562, lr = [5e-05] +[2024-05-21 00:12:35,751] - INFO: Epoch 4475/9999, Iter 223700: Loss = 0.012232392095029354, lr = [5e-05] +[2024-05-21 00:13:03,523] - INFO: Epoch 4475/9999, Iter 223720: Loss = 0.011599240824580193, lr = [5e-05] +[2024-05-21 00:13:30,478] - INFO: Epoch 4475/9999, Iter 223740: Loss = 0.01265786588191986, lr = [5e-05] +[2024-05-21 00:13:42,761] - INFO: Evaluate at epoch 4475! +[2024-05-21 00:13:46,883] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-21 00:13:46,883] - INFO: Eval PSNR (current): 37.989 (4475) SSIM (current): 0.9607 (4475) +[2024-05-21 00:13:46,883] - INFO: Evaluation over. +[2024-05-21 00:14:05,512] - INFO: Epoch 4476/9999, Iter 223760: Loss = 0.011285889893770218, lr = [5e-05] +[2024-05-21 00:14:33,315] - INFO: Epoch 4476/9999, Iter 223780: Loss = 0.01044986117631197, lr = [5e-05] +[2024-05-21 00:15:02,598] - INFO: Epoch 4477/9999, Iter 223800: Loss = 0.01175694540143013, lr = [5e-05] +[2024-05-21 00:15:30,608] - INFO: Epoch 4477/9999, Iter 223820: Loss = 0.009660684503614902, lr = [5e-05] +[2024-05-21 00:15:59,016] - INFO: Epoch 4477/9999, Iter 223840: Loss = 0.015998004004359245, lr = [5e-05] +[2024-05-21 00:16:27,291] - INFO: Epoch 4478/9999, Iter 223860: Loss = 0.008112532086670399, lr = [5e-05] +[2024-05-21 00:16:54,071] - INFO: Epoch 4478/9999, Iter 223880: Loss = 0.009085142984986305, lr = [5e-05] +[2024-05-21 00:17:22,299] - INFO: Epoch 4479/9999, Iter 223900: Loss = 0.01447554025799036, lr = [5e-05] +[2024-05-21 00:17:50,035] - INFO: Epoch 4479/9999, Iter 223920: Loss = 0.013595698401331902, lr = [5e-05] +[2024-05-21 00:18:17,765] - INFO: Epoch 4479/9999, Iter 223940: Loss = 0.012595055624842644, lr = [5e-05] +[2024-05-21 00:18:47,394] - INFO: Epoch 4480/9999, Iter 223960: Loss = 0.013080389238893986, lr = [5e-05] +[2024-05-21 00:19:14,635] - INFO: Epoch 4480/9999, Iter 223980: Loss = 0.010828343220055103, lr = [5e-05] +[2024-05-21 00:19:40,981] - INFO: Evaluate at epoch 4480! +[2024-05-21 00:19:45,102] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-21 00:19:45,102] - INFO: Eval PSNR (current): 37.978 (4480) SSIM (current): 0.9607 (4480) +[2024-05-21 00:19:45,102] - INFO: Evaluation over. +[2024-05-21 00:19:49,483] - INFO: Epoch 4481/9999, Iter 224000: Loss = 0.01469894777983427, lr = [5e-05] +[2024-05-21 00:20:17,751] - INFO: Epoch 4481/9999, Iter 224020: Loss = 0.014359474182128906, lr = [5e-05] +[2024-05-21 00:20:44,259] - INFO: Epoch 4481/9999, Iter 224040: Loss = 0.017462825402617455, lr = [5e-05] +[2024-05-21 00:21:14,267] - INFO: Epoch 4482/9999, Iter 224060: Loss = 0.012398753315210342, lr = [5e-05] +[2024-05-21 00:21:42,511] - INFO: Epoch 4482/9999, Iter 224080: Loss = 0.014145593158900738, lr = [5e-05] +[2024-05-21 00:22:11,374] - INFO: Epoch 4483/9999, Iter 224100: Loss = 0.009799680672585964, lr = [5e-05] +[2024-05-21 00:22:38,900] - INFO: Epoch 4483/9999, Iter 224120: Loss = 0.016496378928422928, lr = [5e-05] +[2024-05-21 00:23:07,231] - INFO: Epoch 4483/9999, Iter 224140: Loss = 0.012623587623238564, lr = [5e-05] +[2024-05-21 00:23:35,987] - INFO: Epoch 4484/9999, Iter 224160: Loss = 0.013534819707274437, lr = [5e-05] +[2024-05-21 00:24:03,907] - INFO: Epoch 4484/9999, Iter 224180: Loss = 0.012084742076694965, lr = [5e-05] +[2024-05-21 00:24:33,523] - INFO: Epoch 4485/9999, Iter 224200: Loss = 0.01172619964927435, lr = [5e-05] +[2024-05-21 00:25:01,619] - INFO: Epoch 4485/9999, Iter 224220: Loss = 0.01077289693057537, lr = [5e-05] +[2024-05-21 00:25:29,031] - INFO: Epoch 4485/9999, Iter 224240: Loss = 0.01321124006062746, lr = [5e-05] +[2024-05-21 00:25:41,127] - INFO: Evaluate at epoch 4485! +[2024-05-21 00:25:45,252] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-21 00:25:45,252] - INFO: Eval PSNR (current): 37.914 (4485) SSIM (current): 0.9604 (4485) +[2024-05-21 00:25:45,252] - INFO: Evaluation over. +[2024-05-21 00:26:04,689] - INFO: Epoch 4486/9999, Iter 224260: Loss = 0.014344440773129463, lr = [5e-05] +[2024-05-21 00:26:32,476] - INFO: Epoch 4486/9999, Iter 224280: Loss = 0.011834780685603619, lr = [5e-05] +[2024-05-21 00:27:01,227] - INFO: Epoch 4487/9999, Iter 224300: Loss = 0.00926558393985033, lr = [5e-05] +[2024-05-21 00:27:28,924] - INFO: Epoch 4487/9999, Iter 224320: Loss = 0.014304615557193756, lr = [5e-05] +[2024-05-21 00:27:56,756] - INFO: Epoch 4487/9999, Iter 224340: Loss = 0.01069600973278284, lr = [5e-05] +[2024-05-21 00:28:26,099] - INFO: Epoch 4488/9999, Iter 224360: Loss = 0.012116707861423492, lr = [5e-05] +[2024-05-21 00:28:53,257] - INFO: Epoch 4488/9999, Iter 224380: Loss = 0.014938006177544594, lr = [5e-05] +[2024-05-21 00:29:21,651] - INFO: Epoch 4489/9999, Iter 224400: Loss = 0.01188934501260519, lr = [5e-05] +[2024-05-21 00:29:48,487] - INFO: Epoch 4489/9999, Iter 224420: Loss = 0.00858223531395197, lr = [5e-05] +[2024-05-21 00:30:16,791] - INFO: Epoch 4489/9999, Iter 224440: Loss = 0.013377985917031765, lr = [5e-05] +[2024-05-21 00:30:46,307] - INFO: Epoch 4490/9999, Iter 224460: Loss = 0.014011449180543423, lr = [5e-05] +[2024-05-21 00:31:12,683] - INFO: Epoch 4490/9999, Iter 224480: Loss = 0.009341776371002197, lr = [5e-05] +[2024-05-21 00:31:39,534] - INFO: Evaluate at epoch 4490! +[2024-05-21 00:31:43,658] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-21 00:31:43,658] - INFO: Eval PSNR (current): 37.986 (4490) SSIM (current): 0.9608 (4490) +[2024-05-21 00:31:43,658] - INFO: Evaluation over. +[2024-05-21 00:31:47,763] - INFO: Epoch 4491/9999, Iter 224500: Loss = 0.014461824670433998, lr = [5e-05] +[2024-05-21 00:32:15,507] - INFO: Epoch 4491/9999, Iter 224520: Loss = 0.017402049154043198, lr = [5e-05] +[2024-05-21 00:32:43,841] - INFO: Epoch 4491/9999, Iter 224540: Loss = 0.013325678184628487, lr = [5e-05] +[2024-05-21 00:33:12,588] - INFO: Epoch 4492/9999, Iter 224560: Loss = 0.015606628730893135, lr = [5e-05] +[2024-05-21 00:33:39,827] - INFO: Epoch 4492/9999, Iter 224580: Loss = 0.011342822574079037, lr = [5e-05] +[2024-05-21 00:34:09,167] - INFO: Epoch 4493/9999, Iter 224600: Loss = 0.007663204800337553, lr = [5e-05] +[2024-05-21 00:34:37,185] - INFO: Epoch 4493/9999, Iter 224620: Loss = 0.008673896081745625, lr = [5e-05] +[2024-05-21 00:35:04,163] - INFO: Epoch 4493/9999, Iter 224640: Loss = 0.010352429933845997, lr = [5e-05] +[2024-05-21 00:35:33,306] - INFO: Epoch 4494/9999, Iter 224660: Loss = 0.014050472527742386, lr = [5e-05] +[2024-05-21 00:36:00,962] - INFO: Epoch 4494/9999, Iter 224680: Loss = 0.009692240506410599, lr = [5e-05] +[2024-05-21 00:36:30,195] - INFO: Epoch 4495/9999, Iter 224700: Loss = 0.009974508546292782, lr = [5e-05] +[2024-05-21 00:36:58,122] - INFO: Epoch 4495/9999, Iter 224720: Loss = 0.015410919673740864, lr = [5e-05] +[2024-05-21 00:37:26,375] - INFO: Epoch 4495/9999, Iter 224740: Loss = 0.011294281110167503, lr = [5e-05] +[2024-05-21 00:37:37,989] - INFO: Evaluate at epoch 4495! +[2024-05-21 00:37:42,116] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-21 00:37:42,116] - INFO: Eval PSNR (current): 38.002 (4495) SSIM (current): 0.9608 (4495) +[2024-05-21 00:37:42,116] - INFO: Evaluation over. +[2024-05-21 00:38:00,706] - INFO: Epoch 4496/9999, Iter 224760: Loss = 0.01019369252026081, lr = [5e-05] +[2024-05-21 00:38:27,569] - INFO: Epoch 4496/9999, Iter 224780: Loss = 0.011230857111513615, lr = [5e-05] +[2024-05-21 00:38:56,389] - INFO: Epoch 4497/9999, Iter 224800: Loss = 0.0169775802642107, lr = [5e-05] +[2024-05-21 00:39:23,372] - INFO: Epoch 4497/9999, Iter 224820: Loss = 0.012442524544894695, lr = [5e-05] +[2024-05-21 00:39:51,275] - INFO: Epoch 4497/9999, Iter 224840: Loss = 0.013046723790466785, lr = [5e-05] +[2024-05-21 00:40:20,760] - INFO: Epoch 4498/9999, Iter 224860: Loss = 0.011221630498766899, lr = [5e-05] +[2024-05-21 00:40:48,938] - INFO: Epoch 4498/9999, Iter 224880: Loss = 0.014213399961590767, lr = [5e-05] +[2024-05-21 00:41:17,667] - INFO: Epoch 4499/9999, Iter 224900: Loss = 0.012501280754804611, lr = [5e-05] +[2024-05-21 00:41:45,403] - INFO: Epoch 4499/9999, Iter 224920: Loss = 0.010974680073559284, lr = [5e-05] +[2024-05-21 00:42:13,209] - INFO: Epoch 4499/9999, Iter 224940: Loss = 0.019000133499503136, lr = [5e-05] +[2024-05-21 00:42:42,269] - INFO: Epoch 4500/9999, Iter 224960: Loss = 0.01818913035094738, lr = [5e-05] +[2024-05-21 00:43:09,719] - INFO: Epoch 4500/9999, Iter 224980: Loss = 0.012818941846489906, lr = [5e-05] +[2024-05-21 00:43:36,457] - INFO: Evaluate at epoch 4500! +[2024-05-21 00:43:40,581] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-21 00:43:40,581] - INFO: Eval PSNR (current): 37.982 (4500) SSIM (current): 0.9608 (4500) +[2024-05-21 00:43:40,581] - INFO: Evaluation over. +[2024-05-21 00:43:44,947] - INFO: Epoch 4501/9999, Iter 225000: Loss = 0.012408283539116383, lr = [5e-05] +[2024-05-21 00:44:13,329] - INFO: Epoch 4501/9999, Iter 225020: Loss = 0.017385346814990044, lr = [5e-05] +[2024-05-21 00:44:41,487] - INFO: Epoch 4501/9999, Iter 225040: Loss = 0.019251929596066475, lr = [5e-05] +[2024-05-21 00:45:09,880] - INFO: Epoch 4502/9999, Iter 225060: Loss = 0.008690079674124718, lr = [5e-05] +[2024-05-21 00:45:37,455] - INFO: Epoch 4502/9999, Iter 225080: Loss = 0.01026954222470522, lr = [5e-05] +[2024-05-21 00:46:06,795] - INFO: Epoch 4503/9999, Iter 225100: Loss = 0.012467644177377224, lr = [5e-05] +[2024-05-21 00:46:33,582] - INFO: Epoch 4503/9999, Iter 225120: Loss = 0.01377136167138815, lr = [5e-05] +[2024-05-21 00:47:01,071] - INFO: Epoch 4503/9999, Iter 225140: Loss = 0.012199066579341888, lr = [5e-05] +[2024-05-21 00:47:30,277] - INFO: Epoch 4504/9999, Iter 225160: Loss = 0.010283720679581165, lr = [5e-05] +[2024-05-21 00:47:57,659] - INFO: Epoch 4504/9999, Iter 225180: Loss = 0.010760397650301456, lr = [5e-05] +[2024-05-21 00:48:26,164] - INFO: Epoch 4505/9999, Iter 225200: Loss = 0.013369630090892315, lr = [5e-05] +[2024-05-21 00:48:54,473] - INFO: Epoch 4505/9999, Iter 225220: Loss = 0.0126236192882061, lr = [5e-05] +[2024-05-21 00:49:22,063] - INFO: Epoch 4505/9999, Iter 225240: Loss = 0.009065297432243824, lr = [5e-05] +[2024-05-21 00:49:34,245] - INFO: Evaluate at epoch 4505! +[2024-05-21 00:49:38,368] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-21 00:49:38,368] - INFO: Eval PSNR (current): 37.970 (4505) SSIM (current): 0.9607 (4505) +[2024-05-21 00:49:38,368] - INFO: Evaluation over. +[2024-05-21 00:49:57,267] - INFO: Epoch 4506/9999, Iter 225260: Loss = 0.016371943056583405, lr = [5e-05] +[2024-05-21 00:50:25,425] - INFO: Epoch 4506/9999, Iter 225280: Loss = 0.015543565154075623, lr = [5e-05] +[2024-05-21 00:50:54,234] - INFO: Epoch 4507/9999, Iter 225300: Loss = 0.011976296082139015, lr = [5e-05] +[2024-05-21 00:51:21,707] - INFO: Epoch 4507/9999, Iter 225320: Loss = 0.01851835660636425, lr = [5e-05] +[2024-05-21 00:51:50,027] - INFO: Epoch 4507/9999, Iter 225340: Loss = 0.017002560198307037, lr = [5e-05] +[2024-05-21 00:52:19,363] - INFO: Epoch 4508/9999, Iter 225360: Loss = 0.020258987322449684, lr = [5e-05] +[2024-05-21 00:52:47,322] - INFO: Epoch 4508/9999, Iter 225380: Loss = 0.009779604151844978, lr = [5e-05] +[2024-05-21 00:53:16,200] - INFO: Epoch 4509/9999, Iter 225400: Loss = 0.010881408117711544, lr = [5e-05] +[2024-05-21 00:53:43,415] - INFO: Epoch 4509/9999, Iter 225420: Loss = 0.009399812668561935, lr = [5e-05] +[2024-05-21 00:54:11,595] - INFO: Epoch 4509/9999, Iter 225440: Loss = 0.014721665531396866, lr = [5e-05] +[2024-05-21 00:54:39,763] - INFO: Epoch 4510/9999, Iter 225460: Loss = 0.01390817016363144, lr = [5e-05] +[2024-05-21 00:55:06,978] - INFO: Epoch 4510/9999, Iter 225480: Loss = 0.010891865938901901, lr = [5e-05] +[2024-05-21 00:55:32,590] - INFO: Evaluate at epoch 4510! +[2024-05-21 00:55:36,714] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-21 00:55:36,715] - INFO: Eval PSNR (current): 37.947 (4510) SSIM (current): 0.9608 (4510) +[2024-05-21 00:55:36,715] - INFO: Evaluation over. +[2024-05-21 00:55:41,101] - INFO: Epoch 4511/9999, Iter 225500: Loss = 0.012474040500819683, lr = [5e-05] +[2024-05-21 00:56:08,907] - INFO: Epoch 4511/9999, Iter 225520: Loss = 0.019547177478671074, lr = [5e-05] +[2024-05-21 00:56:37,021] - INFO: Epoch 4511/9999, Iter 225540: Loss = 0.016321897506713867, lr = [5e-05] +[2024-05-21 00:57:05,610] - INFO: Epoch 4512/9999, Iter 225560: Loss = 0.017590191215276718, lr = [5e-05] +[2024-05-21 00:57:33,257] - INFO: Epoch 4512/9999, Iter 225580: Loss = 0.015207789838314056, lr = [5e-05] +[2024-05-21 00:58:02,019] - INFO: Epoch 4513/9999, Iter 225600: Loss = 0.012862298637628555, lr = [5e-05] +[2024-05-21 00:58:29,307] - INFO: Epoch 4513/9999, Iter 225620: Loss = 0.009038383141160011, lr = [5e-05] +[2024-05-21 00:58:56,467] - INFO: Epoch 4513/9999, Iter 225640: Loss = 0.015360448509454727, lr = [5e-05] +[2024-05-21 00:59:24,743] - INFO: Epoch 4514/9999, Iter 225660: Loss = 0.020917149260640144, lr = [5e-05] +[2024-05-21 00:59:51,395] - INFO: Epoch 4514/9999, Iter 225680: Loss = 0.007572757545858622, lr = [5e-05] +[2024-05-21 01:00:20,767] - INFO: Epoch 4515/9999, Iter 225700: Loss = 0.010214216075837612, lr = [5e-05] +[2024-05-21 01:00:47,770] - INFO: Epoch 4515/9999, Iter 225720: Loss = 0.01315328385680914, lr = [5e-05] +[2024-05-21 01:01:15,209] - INFO: Epoch 4515/9999, Iter 225740: Loss = 0.013987968675792217, lr = [5e-05] +[2024-05-21 01:01:27,326] - INFO: Evaluate at epoch 4515! +[2024-05-21 01:01:31,451] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-21 01:01:31,452] - INFO: Eval PSNR (current): 37.964 (4515) SSIM (current): 0.9608 (4515) +[2024-05-21 01:01:31,452] - INFO: Evaluation over. +[2024-05-21 01:01:49,647] - INFO: Epoch 4516/9999, Iter 225760: Loss = 0.019397158175706863, lr = [5e-05] +[2024-05-21 01:02:15,888] - INFO: Epoch 4516/9999, Iter 225780: Loss = 0.015414898283779621, lr = [5e-05] +[2024-05-21 01:02:44,622] - INFO: Epoch 4517/9999, Iter 225800: Loss = 0.010447729378938675, lr = [5e-05] +[2024-05-21 01:03:12,924] - INFO: Epoch 4517/9999, Iter 225820: Loss = 0.012906030751764774, lr = [5e-05] +[2024-05-21 01:03:40,759] - INFO: Epoch 4517/9999, Iter 225840: Loss = 0.011692392639815807, lr = [5e-05] +[2024-05-21 01:04:09,539] - INFO: Epoch 4518/9999, Iter 225860: Loss = 0.013654740527272224, lr = [5e-05] +[2024-05-21 01:04:37,579] - INFO: Epoch 4518/9999, Iter 225880: Loss = 0.01971014402806759, lr = [5e-05] +[2024-05-21 01:05:06,875] - INFO: Epoch 4519/9999, Iter 225900: Loss = 0.016425389796495438, lr = [5e-05] +[2024-05-21 01:05:36,035] - INFO: Epoch 4519/9999, Iter 225920: Loss = 0.011829007416963577, lr = [5e-05] +[2024-05-21 01:06:04,228] - INFO: Epoch 4519/9999, Iter 225940: Loss = 0.01646176539361477, lr = [5e-05] +[2024-05-21 01:06:31,832] - INFO: Epoch 4520/9999, Iter 225960: Loss = 0.01452940795570612, lr = [5e-05] +[2024-05-21 01:06:59,324] - INFO: Epoch 4520/9999, Iter 225980: Loss = 0.01798776164650917, lr = [5e-05] +[2024-05-21 01:07:25,382] - INFO: Evaluate at epoch 4520! +[2024-05-21 01:07:29,504] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-21 01:07:29,504] - INFO: Eval PSNR (current): 37.986 (4520) SSIM (current): 0.9609 (4520) +[2024-05-21 01:07:29,504] - INFO: Evaluation over. +[2024-05-21 01:07:34,127] - INFO: Epoch 4521/9999, Iter 226000: Loss = 0.01741051860153675, lr = [5e-05] +[2024-05-21 01:08:01,609] - INFO: Epoch 4521/9999, Iter 226020: Loss = 0.009487925097346306, lr = [5e-05] +[2024-05-21 01:08:28,655] - INFO: Epoch 4521/9999, Iter 226040: Loss = 0.01975071057677269, lr = [5e-05] +[2024-05-21 01:08:57,070] - INFO: Epoch 4522/9999, Iter 226060: Loss = 0.009052327834069729, lr = [5e-05] +[2024-05-21 01:09:24,909] - INFO: Epoch 4522/9999, Iter 226080: Loss = 0.010432560928165913, lr = [5e-05] +[2024-05-21 01:09:53,973] - INFO: Epoch 4523/9999, Iter 226100: Loss = 0.010069046169519424, lr = [5e-05] +[2024-05-21 01:10:21,186] - INFO: Epoch 4523/9999, Iter 226120: Loss = 0.009204624220728874, lr = [5e-05] +[2024-05-21 01:10:47,959] - INFO: Epoch 4523/9999, Iter 226140: Loss = 0.015167998149991035, lr = [5e-05] +[2024-05-21 01:11:17,891] - INFO: Epoch 4524/9999, Iter 226160: Loss = 0.009528999216854572, lr = [5e-05] +[2024-05-21 01:11:44,600] - INFO: Epoch 4524/9999, Iter 226180: Loss = 0.016682414337992668, lr = [5e-05] +[2024-05-21 01:12:13,307] - INFO: Epoch 4525/9999, Iter 226200: Loss = 0.016689825803041458, lr = [5e-05] +[2024-05-21 01:12:41,619] - INFO: Epoch 4525/9999, Iter 226220: Loss = 0.013407881371676922, lr = [5e-05] +[2024-05-21 01:13:08,860] - INFO: Epoch 4525/9999, Iter 226240: Loss = 0.01223214715719223, lr = [5e-05] +[2024-05-21 01:13:20,671] - INFO: Evaluate at epoch 4525! +[2024-05-21 01:13:24,797] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-21 01:13:24,797] - INFO: Eval PSNR (current): 37.980 (4525) SSIM (current): 0.9607 (4525) +[2024-05-21 01:13:24,797] - INFO: Evaluation over. +[2024-05-21 01:13:43,475] - INFO: Epoch 4526/9999, Iter 226260: Loss = 0.01578444615006447, lr = [5e-05] +[2024-05-21 01:14:11,398] - INFO: Epoch 4526/9999, Iter 226280: Loss = 0.01070619747042656, lr = [5e-05] +[2024-05-21 01:14:40,022] - INFO: Epoch 4527/9999, Iter 226300: Loss = 0.014890791848301888, lr = [5e-05] +[2024-05-21 01:15:06,163] - INFO: Epoch 4527/9999, Iter 226320: Loss = 0.013423209078609943, lr = [5e-05] +[2024-05-21 01:15:33,506] - INFO: Epoch 4527/9999, Iter 226340: Loss = 0.01243774313479662, lr = [5e-05] +[2024-05-21 01:16:03,583] - INFO: Epoch 4528/9999, Iter 226360: Loss = 0.015651781111955643, lr = [5e-05] +[2024-05-21 01:16:31,087] - INFO: Epoch 4528/9999, Iter 226380: Loss = 0.012495462782680988, lr = [5e-05] +[2024-05-21 01:16:59,283] - INFO: Epoch 4529/9999, Iter 226400: Loss = 0.01229443121701479, lr = [5e-05] +[2024-05-21 01:17:27,327] - INFO: Epoch 4529/9999, Iter 226420: Loss = 0.014040516689419746, lr = [5e-05] +[2024-05-21 01:17:55,171] - INFO: Epoch 4529/9999, Iter 226440: Loss = 0.008829314261674881, lr = [5e-05] +[2024-05-21 01:18:23,473] - INFO: Epoch 4530/9999, Iter 226460: Loss = 0.016550198197364807, lr = [5e-05] +[2024-05-21 01:18:50,375] - INFO: Epoch 4530/9999, Iter 226480: Loss = 0.012969533912837505, lr = [5e-05] +[2024-05-21 01:19:17,046] - INFO: Evaluate at epoch 4530! +[2024-05-21 01:19:21,170] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-21 01:19:21,170] - INFO: Eval PSNR (current): 37.998 (4530) SSIM (current): 0.9608 (4530) +[2024-05-21 01:19:21,170] - INFO: Evaluation over. +[2024-05-21 01:19:25,421] - INFO: Epoch 4531/9999, Iter 226500: Loss = 0.019063225015997887, lr = [5e-05] +[2024-05-21 01:19:52,852] - INFO: Epoch 4531/9999, Iter 226520: Loss = 0.011450225487351418, lr = [5e-05] +[2024-05-21 01:20:20,270] - INFO: Epoch 4531/9999, Iter 226540: Loss = 0.019095122814178467, lr = [5e-05] +[2024-05-21 01:20:49,295] - INFO: Epoch 4532/9999, Iter 226560: Loss = 0.011595393531024456, lr = [5e-05] +[2024-05-21 01:21:16,080] - INFO: Epoch 4532/9999, Iter 226580: Loss = 0.011489404365420341, lr = [5e-05] +[2024-05-21 01:21:45,190] - INFO: Epoch 4533/9999, Iter 226600: Loss = 0.01862591691315174, lr = [5e-05] +[2024-05-21 01:22:13,163] - INFO: Epoch 4533/9999, Iter 226620: Loss = 0.0093391640111804, lr = [5e-05] +[2024-05-21 01:22:41,151] - INFO: Epoch 4533/9999, Iter 226640: Loss = 0.017818477004766464, lr = [5e-05] +[2024-05-21 01:23:09,375] - INFO: Epoch 4534/9999, Iter 226660: Loss = 0.013344830833375454, lr = [5e-05] +[2024-05-21 01:23:38,455] - INFO: Epoch 4534/9999, Iter 226680: Loss = 0.01002492755651474, lr = [5e-05] +[2024-05-21 01:24:06,958] - INFO: Epoch 4535/9999, Iter 226700: Loss = 0.013599196448922157, lr = [5e-05] +[2024-05-21 01:24:35,055] - INFO: Epoch 4535/9999, Iter 226720: Loss = 0.012580505572259426, lr = [5e-05] +[2024-05-21 01:25:03,043] - INFO: Epoch 4535/9999, Iter 226740: Loss = 0.009834611788392067, lr = [5e-05] +[2024-05-21 01:25:14,795] - INFO: Evaluate at epoch 4535! +[2024-05-21 01:25:18,921] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-21 01:25:18,921] - INFO: Eval PSNR (current): 37.954 (4535) SSIM (current): 0.9607 (4535) +[2024-05-21 01:25:18,921] - INFO: Evaluation over. +[2024-05-21 01:25:36,891] - INFO: Epoch 4536/9999, Iter 226760: Loss = 0.010598896071314812, lr = [5e-05] +[2024-05-21 01:26:03,721] - INFO: Epoch 4536/9999, Iter 226780: Loss = 0.012224105186760426, lr = [5e-05] +[2024-05-21 01:26:33,247] - INFO: Epoch 4537/9999, Iter 226800: Loss = 0.012351030483841896, lr = [5e-05] +[2024-05-21 01:27:00,439] - INFO: Epoch 4537/9999, Iter 226820: Loss = 0.00908062607049942, lr = [5e-05] +[2024-05-21 01:27:27,706] - INFO: Epoch 4537/9999, Iter 226840: Loss = 0.013331295922398567, lr = [5e-05] +[2024-05-21 01:27:57,383] - INFO: Epoch 4538/9999, Iter 226860: Loss = 0.012992439791560173, lr = [5e-05] +[2024-05-21 01:28:24,498] - INFO: Epoch 4538/9999, Iter 226880: Loss = 0.017168764024972916, lr = [5e-05] +[2024-05-21 01:28:53,041] - INFO: Epoch 4539/9999, Iter 226900: Loss = 0.014069661498069763, lr = [5e-05] +[2024-05-21 01:29:21,396] - INFO: Epoch 4539/9999, Iter 226920: Loss = 0.012204284779727459, lr = [5e-05] +[2024-05-21 01:29:49,209] - INFO: Epoch 4539/9999, Iter 226940: Loss = 0.011221316643059254, lr = [5e-05] +[2024-05-21 01:30:17,419] - INFO: Epoch 4540/9999, Iter 226960: Loss = 0.011110901832580566, lr = [5e-05] +[2024-05-21 01:30:44,334] - INFO: Epoch 4540/9999, Iter 226980: Loss = 0.015008674934506416, lr = [5e-05] +[2024-05-21 01:31:10,743] - INFO: Evaluate at epoch 4540! +[2024-05-21 01:31:14,865] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-21 01:31:14,865] - INFO: Eval PSNR (current): 37.951 (4540) SSIM (current): 0.9607 (4540) +[2024-05-21 01:31:14,865] - INFO: Evaluation over. +[2024-05-21 01:31:19,237] - INFO: Epoch 4541/9999, Iter 227000: Loss = 0.01777922920882702, lr = [5e-05] +[2024-05-21 01:31:46,881] - INFO: Epoch 4541/9999, Iter 227020: Loss = 0.013599989004433155, lr = [5e-05] +[2024-05-21 01:32:14,318] - INFO: Epoch 4541/9999, Iter 227040: Loss = 0.014114534482359886, lr = [5e-05] +[2024-05-21 01:32:42,800] - INFO: Epoch 4542/9999, Iter 227060: Loss = 0.013628565706312656, lr = [5e-05] +[2024-05-21 01:33:10,506] - INFO: Epoch 4542/9999, Iter 227080: Loss = 0.010495761409401894, lr = [5e-05] +[2024-05-21 01:33:38,947] - INFO: Epoch 4543/9999, Iter 227100: Loss = 0.010457195341587067, lr = [5e-05] +[2024-05-21 01:34:07,391] - INFO: Epoch 4543/9999, Iter 227120: Loss = 0.013925702311098576, lr = [5e-05] +[2024-05-21 01:34:34,863] - INFO: Epoch 4543/9999, Iter 227140: Loss = 0.011707979254424572, lr = [5e-05] +[2024-05-21 01:35:03,263] - INFO: Epoch 4544/9999, Iter 227160: Loss = 0.014230162836611271, lr = [5e-05] +[2024-05-21 01:35:30,545] - INFO: Epoch 4544/9999, Iter 227180: Loss = 0.011429835110902786, lr = [5e-05] +[2024-05-21 01:35:59,062] - INFO: Epoch 4545/9999, Iter 227200: Loss = 0.009093407541513443, lr = [5e-05] +[2024-05-21 01:36:26,528] - INFO: Epoch 4545/9999, Iter 227220: Loss = 0.010602212511003017, lr = [5e-05] +[2024-05-21 01:36:54,170] - INFO: Epoch 4545/9999, Iter 227240: Loss = 0.012575851753354073, lr = [5e-05] +[2024-05-21 01:37:06,567] - INFO: Evaluate at epoch 4545! +[2024-05-21 01:37:10,690] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-21 01:37:10,690] - INFO: Eval PSNR (current): 37.944 (4545) SSIM (current): 0.9607 (4545) +[2024-05-21 01:37:10,690] - INFO: Evaluation over. +[2024-05-21 01:37:29,456] - INFO: Epoch 4546/9999, Iter 227260: Loss = 0.013663245365023613, lr = [5e-05] +[2024-05-21 01:37:57,112] - INFO: Epoch 4546/9999, Iter 227280: Loss = 0.017919005826115608, lr = [5e-05] +[2024-05-21 01:38:26,153] - INFO: Epoch 4547/9999, Iter 227300: Loss = 0.010372682474553585, lr = [5e-05] +[2024-05-21 01:38:52,817] - INFO: Epoch 4547/9999, Iter 227320: Loss = 0.017948582768440247, lr = [5e-05] +[2024-05-21 01:39:19,839] - INFO: Epoch 4547/9999, Iter 227340: Loss = 0.010433273389935493, lr = [5e-05] +[2024-05-21 01:39:47,983] - INFO: Epoch 4548/9999, Iter 227360: Loss = 0.009368699975311756, lr = [5e-05] +[2024-05-21 01:40:15,231] - INFO: Epoch 4548/9999, Iter 227380: Loss = 0.011030707508325577, lr = [5e-05] +[2024-05-21 01:40:44,891] - INFO: Epoch 4549/9999, Iter 227400: Loss = 0.011029435321688652, lr = [5e-05] +[2024-05-21 01:41:13,202] - INFO: Epoch 4549/9999, Iter 227420: Loss = 0.009208589792251587, lr = [5e-05] +[2024-05-21 01:41:41,027] - INFO: Epoch 4549/9999, Iter 227440: Loss = 0.011803153902292252, lr = [5e-05] +[2024-05-21 01:42:10,342] - INFO: Epoch 4550/9999, Iter 227460: Loss = 0.008917184546589851, lr = [5e-05] +[2024-05-21 01:42:38,523] - INFO: Epoch 4550/9999, Iter 227480: Loss = 0.014890334568917751, lr = [5e-05] +[2024-05-21 01:43:04,677] - INFO: Evaluate at epoch 4550! +[2024-05-21 01:43:08,798] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-21 01:43:08,798] - INFO: Eval PSNR (current): 37.967 (4550) SSIM (current): 0.9606 (4550) +[2024-05-21 01:43:08,798] - INFO: Evaluation over. +[2024-05-21 01:43:13,054] - INFO: Epoch 4551/9999, Iter 227500: Loss = 0.009044419974088669, lr = [5e-05] +[2024-05-21 01:43:41,079] - INFO: Epoch 4551/9999, Iter 227520: Loss = 0.012407329864799976, lr = [5e-05] +[2024-05-21 01:44:07,969] - INFO: Epoch 4551/9999, Iter 227540: Loss = 0.016431478783488274, lr = [5e-05] +[2024-05-21 01:44:37,349] - INFO: Epoch 4552/9999, Iter 227560: Loss = 0.017457140609622, lr = [5e-05] +[2024-05-21 01:45:05,419] - INFO: Epoch 4552/9999, Iter 227580: Loss = 0.017311153933405876, lr = [5e-05] +[2024-05-21 01:45:34,051] - INFO: Epoch 4553/9999, Iter 227600: Loss = 0.021133963018655777, lr = [5e-05] +[2024-05-21 01:46:01,167] - INFO: Epoch 4553/9999, Iter 227620: Loss = 0.010386759415268898, lr = [5e-05] +[2024-05-21 01:46:29,118] - INFO: Epoch 4553/9999, Iter 227640: Loss = 0.017076892778277397, lr = [5e-05] +[2024-05-21 01:46:57,968] - INFO: Epoch 4554/9999, Iter 227660: Loss = 0.007023206911981106, lr = [5e-05] +[2024-05-21 01:47:26,258] - INFO: Epoch 4554/9999, Iter 227680: Loss = 0.0119935916736722, lr = [5e-05] +[2024-05-21 01:47:54,833] - INFO: Epoch 4555/9999, Iter 227700: Loss = 0.013879336416721344, lr = [5e-05] +[2024-05-21 01:48:22,984] - INFO: Epoch 4555/9999, Iter 227720: Loss = 0.013514939695596695, lr = [5e-05] +[2024-05-21 01:48:51,563] - INFO: Epoch 4555/9999, Iter 227740: Loss = 0.011991520412266254, lr = [5e-05] +[2024-05-21 01:49:03,259] - INFO: Evaluate at epoch 4555! +[2024-05-21 01:49:07,380] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-21 01:49:07,380] - INFO: Eval PSNR (current): 37.954 (4555) SSIM (current): 0.9606 (4555) +[2024-05-21 01:49:07,380] - INFO: Evaluation over. +[2024-05-21 01:49:25,550] - INFO: Epoch 4556/9999, Iter 227760: Loss = 0.007775840815156698, lr = [5e-05] +[2024-05-21 01:49:53,636] - INFO: Epoch 4556/9999, Iter 227780: Loss = 0.007839995436370373, lr = [5e-05] +[2024-05-21 01:50:22,827] - INFO: Epoch 4557/9999, Iter 227800: Loss = 0.014001692645251751, lr = [5e-05] +[2024-05-21 01:50:50,499] - INFO: Epoch 4557/9999, Iter 227820: Loss = 0.015701336786150932, lr = [5e-05] +[2024-05-21 01:51:17,235] - INFO: Epoch 4557/9999, Iter 227840: Loss = 0.011312282644212246, lr = [5e-05] +[2024-05-21 01:51:46,282] - INFO: Epoch 4558/9999, Iter 227860: Loss = 0.010007353499531746, lr = [5e-05] +[2024-05-21 01:52:14,403] - INFO: Epoch 4558/9999, Iter 227880: Loss = 0.013049934059381485, lr = [5e-05] +[2024-05-21 01:52:42,695] - INFO: Epoch 4559/9999, Iter 227900: Loss = 0.010442261584103107, lr = [5e-05] +[2024-05-21 01:53:10,182] - INFO: Epoch 4559/9999, Iter 227920: Loss = 0.01022539846599102, lr = [5e-05] +[2024-05-21 01:53:38,115] - INFO: Epoch 4559/9999, Iter 227940: Loss = 0.01251124870032072, lr = [5e-05] +[2024-05-21 01:54:05,543] - INFO: Epoch 4560/9999, Iter 227960: Loss = 0.02157553844153881, lr = [5e-05] +[2024-05-21 01:54:32,809] - INFO: Epoch 4560/9999, Iter 227980: Loss = 0.01744650863111019, lr = [5e-05] +[2024-05-21 01:54:59,535] - INFO: Evaluate at epoch 4560! +[2024-05-21 01:55:03,658] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-21 01:55:03,658] - INFO: Eval PSNR (current): 38.010 (4560) SSIM (current): 0.9608 (4560) +[2024-05-21 01:55:03,659] - INFO: Evaluation over. +[2024-05-21 01:55:07,958] - INFO: Epoch 4561/9999, Iter 228000: Loss = 0.009881317615509033, lr = [5e-05] +[2024-05-21 01:55:35,291] - INFO: Epoch 4561/9999, Iter 228020: Loss = 0.014139547944068909, lr = [5e-05] +[2024-05-21 01:56:03,959] - INFO: Epoch 4561/9999, Iter 228040: Loss = 0.014021800830960274, lr = [5e-05] +[2024-05-21 01:56:32,087] - INFO: Epoch 4562/9999, Iter 228060: Loss = 0.0192317683249712, lr = [5e-05] +[2024-05-21 01:57:00,073] - INFO: Epoch 4562/9999, Iter 228080: Loss = 0.01601383462548256, lr = [5e-05] +[2024-05-21 01:57:29,423] - INFO: Epoch 4563/9999, Iter 228100: Loss = 0.011366470716893673, lr = [5e-05] +[2024-05-21 01:57:56,381] - INFO: Epoch 4563/9999, Iter 228120: Loss = 0.011824184097349644, lr = [5e-05] +[2024-05-21 01:58:24,169] - INFO: Epoch 4563/9999, Iter 228140: Loss = 0.018266120925545692, lr = [5e-05] +[2024-05-21 01:58:54,165] - INFO: Epoch 4564/9999, Iter 228160: Loss = 0.009335131384432316, lr = [5e-05] +[2024-05-21 01:59:21,760] - INFO: Epoch 4564/9999, Iter 228180: Loss = 0.013901390135288239, lr = [5e-05] +[2024-05-21 01:59:50,941] - INFO: Epoch 4565/9999, Iter 228200: Loss = 0.01540170144289732, lr = [5e-05] +[2024-05-21 02:00:18,657] - INFO: Epoch 4565/9999, Iter 228220: Loss = 0.016420427709817886, lr = [5e-05] +[2024-05-21 02:00:46,771] - INFO: Epoch 4565/9999, Iter 228240: Loss = 0.00961198192089796, lr = [5e-05] +[2024-05-21 02:00:58,583] - INFO: Evaluate at epoch 4565! +[2024-05-21 02:01:02,705] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-21 02:01:02,705] - INFO: Eval PSNR (current): 37.990 (4565) SSIM (current): 0.9608 (4565) +[2024-05-21 02:01:02,705] - INFO: Evaluation over. +[2024-05-21 02:01:21,430] - INFO: Epoch 4566/9999, Iter 228260: Loss = 0.010148209519684315, lr = [5e-05] +[2024-05-21 02:01:49,660] - INFO: Epoch 4566/9999, Iter 228280: Loss = 0.01416970044374466, lr = [5e-05] +[2024-05-21 02:02:18,531] - INFO: Epoch 4567/9999, Iter 228300: Loss = 0.017162522301077843, lr = [5e-05] +[2024-05-21 02:02:46,419] - INFO: Epoch 4567/9999, Iter 228320: Loss = 0.008792306296527386, lr = [5e-05] +[2024-05-21 02:03:14,433] - INFO: Epoch 4567/9999, Iter 228340: Loss = 0.014497588388621807, lr = [5e-05] +[2024-05-21 02:03:43,971] - INFO: Epoch 4568/9999, Iter 228360: Loss = 0.008794823661446571, lr = [5e-05] +[2024-05-21 02:04:11,592] - INFO: Epoch 4568/9999, Iter 228380: Loss = 0.01065733190625906, lr = [5e-05] +[2024-05-21 02:04:40,143] - INFO: Epoch 4569/9999, Iter 228400: Loss = 0.011231585405766964, lr = [5e-05] +[2024-05-21 02:05:08,751] - INFO: Epoch 4569/9999, Iter 228420: Loss = 0.01918286830186844, lr = [5e-05] +[2024-05-21 02:05:36,555] - INFO: Epoch 4569/9999, Iter 228440: Loss = 0.010696168057620525, lr = [5e-05] +[2024-05-21 02:06:06,044] - INFO: Epoch 4570/9999, Iter 228460: Loss = 0.008877688087522984, lr = [5e-05] +[2024-05-21 02:06:34,163] - INFO: Epoch 4570/9999, Iter 228480: Loss = 0.01098356768488884, lr = [5e-05] +[2024-05-21 02:07:00,032] - INFO: Evaluate at epoch 4570! +[2024-05-21 02:07:04,207] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-21 02:07:04,207] - INFO: Eval PSNR (current): 37.969 (4570) SSIM (current): 0.9608 (4570) +[2024-05-21 02:07:04,207] - INFO: Evaluation over. +[2024-05-21 02:07:08,539] - INFO: Epoch 4571/9999, Iter 228500: Loss = 0.009389824233949184, lr = [5e-05] +[2024-05-21 02:07:36,226] - INFO: Epoch 4571/9999, Iter 228520: Loss = 0.014809725806117058, lr = [5e-05] +[2024-05-21 02:08:04,474] - INFO: Epoch 4571/9999, Iter 228540: Loss = 0.015477926470339298, lr = [5e-05] +[2024-05-21 02:08:33,187] - INFO: Epoch 4572/9999, Iter 228560: Loss = 0.01695610210299492, lr = [5e-05] +[2024-05-21 02:09:01,375] - INFO: Epoch 4572/9999, Iter 228580: Loss = 0.017438413575291634, lr = [5e-05] +[2024-05-21 02:09:30,356] - INFO: Epoch 4573/9999, Iter 228600: Loss = 0.016106318682432175, lr = [5e-05] +[2024-05-21 02:09:57,671] - INFO: Epoch 4573/9999, Iter 228620: Loss = 0.013277609832584858, lr = [5e-05] +[2024-05-21 02:10:25,564] - INFO: Epoch 4573/9999, Iter 228640: Loss = 0.010068058036267757, lr = [5e-05] +[2024-05-21 02:10:54,979] - INFO: Epoch 4574/9999, Iter 228660: Loss = 0.010606028139591217, lr = [5e-05] +[2024-05-21 02:11:23,155] - INFO: Epoch 4574/9999, Iter 228680: Loss = 0.014806823804974556, lr = [5e-05] +[2024-05-21 02:11:51,343] - INFO: Epoch 4575/9999, Iter 228700: Loss = 0.012949002906680107, lr = [5e-05] +[2024-05-21 02:12:18,819] - INFO: Epoch 4575/9999, Iter 228720: Loss = 0.017217664048075676, lr = [5e-05] +[2024-05-21 02:12:46,311] - INFO: Epoch 4575/9999, Iter 228740: Loss = 0.010719853453338146, lr = [5e-05] +[2024-05-21 02:12:58,394] - INFO: Evaluate at epoch 4575! +[2024-05-21 02:13:02,609] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-21 02:13:02,609] - INFO: Eval PSNR (current): 37.966 (4575) SSIM (current): 0.9608 (4575) +[2024-05-21 02:13:02,609] - INFO: Evaluation over. +[2024-05-21 02:13:20,093] - INFO: Epoch 4576/9999, Iter 228760: Loss = 0.012188896536827087, lr = [5e-05] +[2024-05-21 02:13:47,606] - INFO: Epoch 4576/9999, Iter 228780: Loss = 0.012846505269408226, lr = [5e-05] +[2024-05-21 02:14:17,139] - INFO: Epoch 4577/9999, Iter 228800: Loss = 0.014123477041721344, lr = [5e-05] +[2024-05-21 02:14:43,790] - INFO: Epoch 4577/9999, Iter 228820: Loss = 0.01408318430185318, lr = [5e-05] +[2024-05-21 02:15:10,880] - INFO: Epoch 4577/9999, Iter 228840: Loss = 0.015938159078359604, lr = [5e-05] +[2024-05-21 02:15:40,657] - INFO: Epoch 4578/9999, Iter 228860: Loss = 0.017732800915837288, lr = [5e-05] +[2024-05-21 02:16:08,791] - INFO: Epoch 4578/9999, Iter 228880: Loss = 0.014164474792778492, lr = [5e-05] +[2024-05-21 02:16:37,274] - INFO: Epoch 4579/9999, Iter 228900: Loss = 0.008261444047093391, lr = [5e-05] +[2024-05-21 02:17:05,123] - INFO: Epoch 4579/9999, Iter 228920: Loss = 0.022484540939331055, lr = [5e-05] +[2024-05-21 02:17:33,139] - INFO: Epoch 4579/9999, Iter 228940: Loss = 0.01844031736254692, lr = [5e-05] +[2024-05-21 02:18:01,914] - INFO: Epoch 4580/9999, Iter 228960: Loss = 0.012543201446533203, lr = [5e-05] +[2024-05-21 02:18:28,712] - INFO: Epoch 4580/9999, Iter 228980: Loss = 0.01761583425104618, lr = [5e-05] +[2024-05-21 02:18:55,768] - INFO: Evaluate at epoch 4580! +[2024-05-21 02:18:59,889] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-21 02:18:59,889] - INFO: Eval PSNR (current): 37.939 (4580) SSIM (current): 0.9608 (4580) +[2024-05-21 02:18:59,889] - INFO: Evaluation over. +[2024-05-21 02:19:04,246] - INFO: Epoch 4581/9999, Iter 229000: Loss = 0.011181277222931385, lr = [5e-05] +[2024-05-21 02:19:31,451] - INFO: Epoch 4581/9999, Iter 229020: Loss = 0.012488768436014652, lr = [5e-05] +[2024-05-21 02:19:58,339] - INFO: Epoch 4581/9999, Iter 229040: Loss = 0.013152344152331352, lr = [5e-05] +[2024-05-21 02:20:28,197] - INFO: Epoch 4582/9999, Iter 229060: Loss = 0.017599720507860184, lr = [5e-05] +[2024-05-21 02:20:56,155] - INFO: Epoch 4582/9999, Iter 229080: Loss = 0.009513912722468376, lr = [5e-05] +[2024-05-21 02:21:25,035] - INFO: Epoch 4583/9999, Iter 229100: Loss = 0.011449683457612991, lr = [5e-05] +[2024-05-21 02:21:52,275] - INFO: Epoch 4583/9999, Iter 229120: Loss = 0.007282658480107784, lr = [5e-05] +[2024-05-21 02:22:20,660] - INFO: Epoch 4583/9999, Iter 229140: Loss = 0.01260764617472887, lr = [5e-05] +[2024-05-21 02:22:49,308] - INFO: Epoch 4584/9999, Iter 229160: Loss = 0.013183189556002617, lr = [5e-05] +[2024-05-21 02:23:17,369] - INFO: Epoch 4584/9999, Iter 229180: Loss = 0.011964644305408001, lr = [5e-05] +[2024-05-21 02:23:46,731] - INFO: Epoch 4585/9999, Iter 229200: Loss = 0.010684053413569927, lr = [5e-05] +[2024-05-21 02:24:13,534] - INFO: Epoch 4585/9999, Iter 229220: Loss = 0.010153264738619328, lr = [5e-05] +[2024-05-21 02:24:41,035] - INFO: Epoch 4585/9999, Iter 229240: Loss = 0.011609615758061409, lr = [5e-05] +[2024-05-21 02:24:53,612] - INFO: Evaluate at epoch 4585! +[2024-05-21 02:24:57,735] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-21 02:24:57,735] - INFO: Eval PSNR (current): 37.972 (4585) SSIM (current): 0.9607 (4585) +[2024-05-21 02:24:57,736] - INFO: Evaluation over. +[2024-05-21 02:25:16,617] - INFO: Epoch 4586/9999, Iter 229260: Loss = 0.011807489208877087, lr = [5e-05] +[2024-05-21 02:25:44,728] - INFO: Epoch 4586/9999, Iter 229280: Loss = 0.010243792086839676, lr = [5e-05] +[2024-05-21 02:26:13,377] - INFO: Epoch 4587/9999, Iter 229300: Loss = 0.012943819165229797, lr = [5e-05] +[2024-05-21 02:26:41,759] - INFO: Epoch 4587/9999, Iter 229320: Loss = 0.014526360668241978, lr = [5e-05] +[2024-05-21 02:27:09,962] - INFO: Epoch 4587/9999, Iter 229340: Loss = 0.013558213599026203, lr = [5e-05] +[2024-05-21 02:27:38,778] - INFO: Epoch 4588/9999, Iter 229360: Loss = 0.01405681949108839, lr = [5e-05] +[2024-05-21 02:28:06,835] - INFO: Epoch 4588/9999, Iter 229380: Loss = 0.009903140366077423, lr = [5e-05] +[2024-05-21 02:28:36,011] - INFO: Epoch 4589/9999, Iter 229400: Loss = 0.012536565773189068, lr = [5e-05] +[2024-05-21 02:29:04,303] - INFO: Epoch 4589/9999, Iter 229420: Loss = 0.015204554423689842, lr = [5e-05] +[2024-05-21 02:29:30,711] - INFO: Epoch 4589/9999, Iter 229440: Loss = 0.010247592814266682, lr = [5e-05] +[2024-05-21 02:29:59,337] - INFO: Epoch 4590/9999, Iter 229460: Loss = 0.008648287504911423, lr = [5e-05] +[2024-05-21 02:30:26,968] - INFO: Epoch 4590/9999, Iter 229480: Loss = 0.013566087931394577, lr = [5e-05] +[2024-05-21 02:30:53,049] - INFO: Evaluate at epoch 4590! +[2024-05-21 02:30:57,174] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-21 02:30:57,174] - INFO: Eval PSNR (current): 38.008 (4590) SSIM (current): 0.9608 (4590) +[2024-05-21 02:30:57,174] - INFO: Evaluation over. +[2024-05-21 02:31:01,527] - INFO: Epoch 4591/9999, Iter 229500: Loss = 0.01618070714175701, lr = [5e-05] +[2024-05-21 02:31:30,473] - INFO: Epoch 4591/9999, Iter 229520: Loss = 0.014127707108855247, lr = [5e-05] +[2024-05-21 02:31:58,165] - INFO: Epoch 4591/9999, Iter 229540: Loss = 0.00916330050677061, lr = [5e-05] +[2024-05-21 02:32:27,576] - INFO: Epoch 4592/9999, Iter 229560: Loss = 0.008778484538197517, lr = [5e-05] +[2024-05-21 02:32:55,953] - INFO: Epoch 4592/9999, Iter 229580: Loss = 0.014944050461053848, lr = [5e-05] +[2024-05-21 02:33:24,366] - INFO: Epoch 4593/9999, Iter 229600: Loss = 0.012433649972081184, lr = [5e-05] +[2024-05-21 02:33:52,715] - INFO: Epoch 4593/9999, Iter 229620: Loss = 0.009171939454972744, lr = [5e-05] +[2024-05-21 02:34:20,615] - INFO: Epoch 4593/9999, Iter 229640: Loss = 0.011380438692867756, lr = [5e-05] +[2024-05-21 02:34:49,706] - INFO: Epoch 4594/9999, Iter 229660: Loss = 0.014536703005433083, lr = [5e-05] +[2024-05-21 02:35:16,691] - INFO: Epoch 4594/9999, Iter 229680: Loss = 0.010901810601353645, lr = [5e-05] +[2024-05-21 02:35:45,531] - INFO: Epoch 4595/9999, Iter 229700: Loss = 0.010722643695771694, lr = [5e-05] +[2024-05-21 02:36:12,136] - INFO: Epoch 4595/9999, Iter 229720: Loss = 0.007475309073925018, lr = [5e-05] +[2024-05-21 02:36:38,787] - INFO: Epoch 4595/9999, Iter 229740: Loss = 0.01451883465051651, lr = [5e-05] +[2024-05-21 02:36:51,129] - INFO: Evaluate at epoch 4595! +[2024-05-21 02:36:55,252] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-21 02:36:55,252] - INFO: Eval PSNR (current): 37.995 (4595) SSIM (current): 0.9609 (4595) +[2024-05-21 02:36:55,252] - INFO: Evaluation over. +[2024-05-21 02:37:13,977] - INFO: Epoch 4596/9999, Iter 229760: Loss = 0.01934247650206089, lr = [5e-05] +[2024-05-21 02:37:40,852] - INFO: Epoch 4596/9999, Iter 229780: Loss = 0.01239046175032854, lr = [5e-05] +[2024-05-21 02:38:09,329] - INFO: Epoch 4597/9999, Iter 229800: Loss = 0.01637582667171955, lr = [5e-05] +[2024-05-21 02:38:35,959] - INFO: Epoch 4597/9999, Iter 229820: Loss = 0.009533653035759926, lr = [5e-05] +[2024-05-21 02:39:03,410] - INFO: Epoch 4597/9999, Iter 229840: Loss = 0.014194462448358536, lr = [5e-05] +[2024-05-21 02:39:33,603] - INFO: Epoch 4598/9999, Iter 229860: Loss = 0.01305543351918459, lr = [5e-05] +[2024-05-21 02:40:01,551] - INFO: Epoch 4598/9999, Iter 229880: Loss = 0.009154967963695526, lr = [5e-05] +[2024-05-21 02:40:30,275] - INFO: Epoch 4599/9999, Iter 229900: Loss = 0.011515675112605095, lr = [5e-05] +[2024-05-21 02:40:58,540] - INFO: Epoch 4599/9999, Iter 229920: Loss = 0.016905393451452255, lr = [5e-05] +[2024-05-21 02:41:25,541] - INFO: Epoch 4599/9999, Iter 229940: Loss = 0.016400981694459915, lr = [5e-05] +[2024-05-21 02:41:54,330] - INFO: Epoch 4600/9999, Iter 229960: Loss = 0.013490431942045689, lr = [5e-05] +[2024-05-21 02:42:22,079] - INFO: Epoch 4600/9999, Iter 229980: Loss = 0.01590562053024769, lr = [5e-05] +[2024-05-21 02:42:48,266] - INFO: Evaluate at epoch 4600! +[2024-05-21 02:42:52,391] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-21 02:42:52,391] - INFO: Eval PSNR (current): 37.977 (4600) SSIM (current): 0.9608 (4600) +[2024-05-21 02:42:52,392] - INFO: Evaluation over. +[2024-05-21 02:42:56,525] - INFO: Epoch 4601/9999, Iter 230000: Loss = 0.012403630651533604, lr = [5e-05] +[2024-05-21 02:43:23,027] - INFO: Epoch 4601/9999, Iter 230020: Loss = 0.015033052302896976, lr = [5e-05] +[2024-05-21 02:43:50,560] - INFO: Epoch 4601/9999, Iter 230040: Loss = 0.007833643816411495, lr = [5e-05] +[2024-05-21 02:44:20,169] - INFO: Epoch 4602/9999, Iter 230060: Loss = 0.009105589240789413, lr = [5e-05] +[2024-05-21 02:44:47,679] - INFO: Epoch 4602/9999, Iter 230080: Loss = 0.009820072911679745, lr = [5e-05] +[2024-05-21 02:45:16,891] - INFO: Epoch 4603/9999, Iter 230100: Loss = 0.011522210203111172, lr = [5e-05] +[2024-05-21 02:45:43,553] - INFO: Epoch 4603/9999, Iter 230120: Loss = 0.009640585631132126, lr = [5e-05] +[2024-05-21 02:46:11,464] - INFO: Epoch 4603/9999, Iter 230140: Loss = 0.012134591117501259, lr = [5e-05] +[2024-05-21 02:46:41,235] - INFO: Epoch 4604/9999, Iter 230160: Loss = 0.01020458061248064, lr = [5e-05] +[2024-05-21 02:47:09,102] - INFO: Epoch 4604/9999, Iter 230180: Loss = 0.012425820343196392, lr = [5e-05] +[2024-05-21 02:47:38,257] - INFO: Epoch 4605/9999, Iter 230200: Loss = 0.013302615843713284, lr = [5e-05] +[2024-05-21 02:48:06,139] - INFO: Epoch 4605/9999, Iter 230220: Loss = 0.014526243321597576, lr = [5e-05] +[2024-05-21 02:48:34,359] - INFO: Epoch 4605/9999, Iter 230240: Loss = 0.012961513362824917, lr = [5e-05] +[2024-05-21 02:48:46,404] - INFO: Evaluate at epoch 4605! +[2024-05-21 02:48:50,533] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-21 02:48:50,533] - INFO: Eval PSNR (current): 37.994 (4605) SSIM (current): 0.9608 (4605) +[2024-05-21 02:48:50,533] - INFO: Evaluation over. +[2024-05-21 02:49:08,094] - INFO: Epoch 4606/9999, Iter 230260: Loss = 0.009489542804658413, lr = [5e-05] +[2024-05-21 02:49:36,247] - INFO: Epoch 4606/9999, Iter 230280: Loss = 0.012558932416141033, lr = [5e-05] +[2024-05-21 02:50:04,395] - INFO: Epoch 4607/9999, Iter 230300: Loss = 0.01078833732753992, lr = [5e-05] +[2024-05-21 02:50:32,459] - INFO: Epoch 4607/9999, Iter 230320: Loss = 0.013018667697906494, lr = [5e-05] +[2024-05-21 02:51:00,267] - INFO: Epoch 4607/9999, Iter 230340: Loss = 0.013100034557282925, lr = [5e-05] +[2024-05-21 02:51:29,273] - INFO: Epoch 4608/9999, Iter 230360: Loss = 0.008714078925549984, lr = [5e-05] +[2024-05-21 02:51:58,083] - INFO: Epoch 4608/9999, Iter 230380: Loss = 0.011571202427148819, lr = [5e-05] +[2024-05-21 02:52:26,323] - INFO: Epoch 4609/9999, Iter 230400: Loss = 0.011975777335464954, lr = [5e-05] +[2024-05-21 02:52:54,367] - INFO: Epoch 4609/9999, Iter 230420: Loss = 0.013447239995002747, lr = [5e-05] +[2024-05-21 02:53:21,702] - INFO: Epoch 4609/9999, Iter 230440: Loss = 0.01189024280756712, lr = [5e-05] +[2024-05-21 02:53:50,682] - INFO: Epoch 4610/9999, Iter 230460: Loss = 0.014849668368697166, lr = [5e-05] +[2024-05-21 02:54:19,472] - INFO: Epoch 4610/9999, Iter 230480: Loss = 0.012323408387601376, lr = [5e-05] +[2024-05-21 02:54:45,101] - INFO: Evaluate at epoch 4610! +[2024-05-21 02:54:49,311] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-21 02:54:49,311] - INFO: Eval PSNR (current): 37.976 (4610) SSIM (current): 0.9607 (4610) +[2024-05-21 02:54:49,311] - INFO: Evaluation over. +[2024-05-21 02:54:54,011] - INFO: Epoch 4611/9999, Iter 230500: Loss = 0.01677720621228218, lr = [5e-05] +[2024-05-21 02:55:22,027] - INFO: Epoch 4611/9999, Iter 230520: Loss = 0.020344218239188194, lr = [5e-05] +[2024-05-21 02:55:50,318] - INFO: Epoch 4611/9999, Iter 230540: Loss = 0.008264545351266861, lr = [5e-05] +[2024-05-21 02:56:19,019] - INFO: Epoch 4612/9999, Iter 230560: Loss = 0.010993102565407753, lr = [5e-05] +[2024-05-21 02:56:47,625] - INFO: Epoch 4612/9999, Iter 230580: Loss = 0.017590031027793884, lr = [5e-05] +[2024-05-21 02:57:16,391] - INFO: Epoch 4613/9999, Iter 230600: Loss = 0.013290345668792725, lr = [5e-05] +[2024-05-21 02:57:43,868] - INFO: Epoch 4613/9999, Iter 230620: Loss = 0.00718601793050766, lr = [5e-05] +[2024-05-21 02:58:11,963] - INFO: Epoch 4613/9999, Iter 230640: Loss = 0.01280338503420353, lr = [5e-05] +[2024-05-21 02:58:40,601] - INFO: Epoch 4614/9999, Iter 230660: Loss = 0.010640311054885387, lr = [5e-05] +[2024-05-21 02:59:08,795] - INFO: Epoch 4614/9999, Iter 230680: Loss = 0.015508155338466167, lr = [5e-05] +[2024-05-21 02:59:37,250] - INFO: Epoch 4615/9999, Iter 230700: Loss = 0.016144856810569763, lr = [5e-05] +[2024-05-21 03:00:05,291] - INFO: Epoch 4615/9999, Iter 230720: Loss = 0.010533398948609829, lr = [5e-05] +[2024-05-21 03:00:33,935] - INFO: Epoch 4615/9999, Iter 230740: Loss = 0.010661403648555279, lr = [5e-05] +[2024-05-21 03:00:45,807] - INFO: Evaluate at epoch 4615! +[2024-05-21 03:00:49,971] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-21 03:00:49,971] - INFO: Eval PSNR (current): 38.009 (4615) SSIM (current): 0.9608 (4615) +[2024-05-21 03:00:49,972] - INFO: Evaluation over. +[2024-05-21 03:01:08,429] - INFO: Epoch 4616/9999, Iter 230760: Loss = 0.010036674328148365, lr = [5e-05] +[2024-05-21 03:01:36,655] - INFO: Epoch 4616/9999, Iter 230780: Loss = 0.011702473275363445, lr = [5e-05] +[2024-05-21 03:02:05,147] - INFO: Epoch 4617/9999, Iter 230800: Loss = 0.014716064557433128, lr = [5e-05] +[2024-05-21 03:02:32,763] - INFO: Epoch 4617/9999, Iter 230820: Loss = 0.015070710331201553, lr = [5e-05] +[2024-05-21 03:03:00,096] - INFO: Epoch 4617/9999, Iter 230840: Loss = 0.015155726112425327, lr = [5e-05] +[2024-05-21 03:03:29,428] - INFO: Epoch 4618/9999, Iter 230860: Loss = 0.011148609220981598, lr = [5e-05] +[2024-05-21 03:03:57,903] - INFO: Epoch 4618/9999, Iter 230880: Loss = 0.020152082666754723, lr = [5e-05] +[2024-05-21 03:04:26,675] - INFO: Epoch 4619/9999, Iter 230900: Loss = 0.012316079810261726, lr = [5e-05] +[2024-05-21 03:04:54,812] - INFO: Epoch 4619/9999, Iter 230920: Loss = 0.013289610855281353, lr = [5e-05] +[2024-05-21 03:05:22,828] - INFO: Epoch 4619/9999, Iter 230940: Loss = 0.015379314310848713, lr = [5e-05] +[2024-05-21 03:05:51,296] - INFO: Epoch 4620/9999, Iter 230960: Loss = 0.012055487371981144, lr = [5e-05] +[2024-05-21 03:06:18,590] - INFO: Epoch 4620/9999, Iter 230980: Loss = 0.015619343146681786, lr = [5e-05] +[2024-05-21 03:06:44,354] - INFO: Evaluate at epoch 4620! +[2024-05-21 03:06:48,524] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-21 03:06:48,525] - INFO: Eval PSNR (current): 37.997 (4620) SSIM (current): 0.9607 (4620) +[2024-05-21 03:06:48,525] - INFO: Evaluation over. +[2024-05-21 03:06:53,507] - INFO: Epoch 4621/9999, Iter 231000: Loss = 0.008174207992851734, lr = [5e-05] +[2024-05-21 03:07:21,382] - INFO: Epoch 4621/9999, Iter 231020: Loss = 0.018337668851017952, lr = [5e-05] +[2024-05-21 03:07:48,517] - INFO: Epoch 4621/9999, Iter 231040: Loss = 0.022335030138492584, lr = [5e-05] +[2024-05-21 03:08:17,791] - INFO: Epoch 4622/9999, Iter 231060: Loss = 0.012685208581387997, lr = [5e-05] +[2024-05-21 03:08:46,066] - INFO: Epoch 4622/9999, Iter 231080: Loss = 0.015615505166351795, lr = [5e-05] +[2024-05-21 03:09:14,933] - INFO: Epoch 4623/9999, Iter 231100: Loss = 0.007481378503143787, lr = [5e-05] +[2024-05-21 03:09:43,359] - INFO: Epoch 4623/9999, Iter 231120: Loss = 0.011457325890660286, lr = [5e-05] +[2024-05-21 03:10:10,603] - INFO: Epoch 4623/9999, Iter 231140: Loss = 0.009881113655865192, lr = [5e-05] +[2024-05-21 03:10:39,247] - INFO: Epoch 4624/9999, Iter 231160: Loss = 0.013987436890602112, lr = [5e-05] +[2024-05-21 03:11:07,311] - INFO: Epoch 4624/9999, Iter 231180: Loss = 0.008853519335389137, lr = [5e-05] +[2024-05-21 03:11:36,521] - INFO: Epoch 4625/9999, Iter 231200: Loss = 0.013610153459012508, lr = [5e-05] +[2024-05-21 03:12:04,619] - INFO: Epoch 4625/9999, Iter 231220: Loss = 0.017345264554023743, lr = [5e-05] +[2024-05-21 03:12:32,623] - INFO: Epoch 4625/9999, Iter 231240: Loss = 0.014585576951503754, lr = [5e-05] +[2024-05-21 03:12:44,690] - INFO: Evaluate at epoch 4625! +[2024-05-21 03:12:48,979] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-21 03:12:48,979] - INFO: Eval PSNR (current): 37.946 (4625) SSIM (current): 0.9607 (4625) +[2024-05-21 03:12:48,979] - INFO: Evaluation over. +[2024-05-21 03:13:07,999] - INFO: Epoch 4626/9999, Iter 231260: Loss = 0.018361171707510948, lr = [5e-05] +[2024-05-21 03:13:36,059] - INFO: Epoch 4626/9999, Iter 231280: Loss = 0.012086634524166584, lr = [5e-05] +[2024-05-21 03:14:04,443] - INFO: Epoch 4627/9999, Iter 231300: Loss = 0.010825776495039463, lr = [5e-05] +[2024-05-21 03:14:32,838] - INFO: Epoch 4627/9999, Iter 231320: Loss = 0.011446737684309483, lr = [5e-05] +[2024-05-21 03:15:00,568] - INFO: Epoch 4627/9999, Iter 231340: Loss = 0.009232682175934315, lr = [5e-05] +[2024-05-21 03:15:29,697] - INFO: Epoch 4628/9999, Iter 231360: Loss = 0.007128508761525154, lr = [5e-05] +[2024-05-21 03:15:56,450] - INFO: Epoch 4628/9999, Iter 231380: Loss = 0.018611576408147812, lr = [5e-05] +[2024-05-21 03:16:25,570] - INFO: Epoch 4629/9999, Iter 231400: Loss = 0.009448275901377201, lr = [5e-05] +[2024-05-21 03:16:53,651] - INFO: Epoch 4629/9999, Iter 231420: Loss = 0.007201238069683313, lr = [5e-05] +[2024-05-21 03:17:21,087] - INFO: Epoch 4629/9999, Iter 231440: Loss = 0.01354184839874506, lr = [5e-05] +[2024-05-21 03:17:50,467] - INFO: Epoch 4630/9999, Iter 231460: Loss = 0.00867198221385479, lr = [5e-05] +[2024-05-21 03:18:19,011] - INFO: Epoch 4630/9999, Iter 231480: Loss = 0.009477403946220875, lr = [5e-05] +[2024-05-21 03:18:44,856] - INFO: Evaluate at epoch 4630! +[2024-05-21 03:18:48,979] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-21 03:18:48,979] - INFO: Eval PSNR (current): 37.941 (4630) SSIM (current): 0.9607 (4630) +[2024-05-21 03:18:48,979] - INFO: Evaluation over. +[2024-05-21 03:18:53,309] - INFO: Epoch 4631/9999, Iter 231500: Loss = 0.010331330820918083, lr = [5e-05] +[2024-05-21 03:19:20,529] - INFO: Epoch 4631/9999, Iter 231520: Loss = 0.010354684665799141, lr = [5e-05] +[2024-05-21 03:19:47,937] - INFO: Epoch 4631/9999, Iter 231540: Loss = 0.016969002783298492, lr = [5e-05] +[2024-05-21 03:20:16,975] - INFO: Epoch 4632/9999, Iter 231560: Loss = 0.01126936450600624, lr = [5e-05] +[2024-05-21 03:20:44,583] - INFO: Epoch 4632/9999, Iter 231580: Loss = 0.01703956164419651, lr = [5e-05] +[2024-05-21 03:21:13,559] - INFO: Epoch 4633/9999, Iter 231600: Loss = 0.01604374684393406, lr = [5e-05] +[2024-05-21 03:21:40,659] - INFO: Epoch 4633/9999, Iter 231620: Loss = 0.01551074255257845, lr = [5e-05] +[2024-05-21 03:22:08,726] - INFO: Epoch 4633/9999, Iter 231640: Loss = 0.012751898728311062, lr = [5e-05] +[2024-05-21 03:22:37,986] - INFO: Epoch 4634/9999, Iter 231660: Loss = 0.016186272725462914, lr = [5e-05] +[2024-05-21 03:23:05,414] - INFO: Epoch 4634/9999, Iter 231680: Loss = 0.013321781530976295, lr = [5e-05] +[2024-05-21 03:23:34,007] - INFO: Epoch 4635/9999, Iter 231700: Loss = 0.014786032028496265, lr = [5e-05] +[2024-05-21 03:24:01,687] - INFO: Epoch 4635/9999, Iter 231720: Loss = 0.01108208205550909, lr = [5e-05] +[2024-05-21 03:24:30,032] - INFO: Epoch 4635/9999, Iter 231740: Loss = 0.012965662404894829, lr = [5e-05] +[2024-05-21 03:24:42,023] - INFO: Evaluate at epoch 4635! +[2024-05-21 03:24:46,147] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-21 03:24:46,147] - INFO: Eval PSNR (current): 37.987 (4635) SSIM (current): 0.9608 (4635) +[2024-05-21 03:24:46,148] - INFO: Evaluation over. +[2024-05-21 03:25:04,464] - INFO: Epoch 4636/9999, Iter 231760: Loss = 0.013155411928892136, lr = [5e-05] +[2024-05-21 03:25:31,873] - INFO: Epoch 4636/9999, Iter 231780: Loss = 0.01109433826059103, lr = [5e-05] +[2024-05-21 03:26:00,503] - INFO: Epoch 4637/9999, Iter 231800: Loss = 0.009110339917242527, lr = [5e-05] +[2024-05-21 03:26:28,791] - INFO: Epoch 4637/9999, Iter 231820: Loss = 0.010636581107974052, lr = [5e-05] +[2024-05-21 03:26:56,083] - INFO: Epoch 4637/9999, Iter 231840: Loss = 0.01908920519053936, lr = [5e-05] +[2024-05-21 03:27:25,814] - INFO: Epoch 4638/9999, Iter 231860: Loss = 0.01678364723920822, lr = [5e-05] +[2024-05-21 03:27:53,777] - INFO: Epoch 4638/9999, Iter 231880: Loss = 0.010280968621373177, lr = [5e-05] +[2024-05-21 03:28:22,093] - INFO: Epoch 4639/9999, Iter 231900: Loss = 0.014871688559651375, lr = [5e-05] +[2024-05-21 03:28:50,482] - INFO: Epoch 4639/9999, Iter 231920: Loss = 0.009713339619338512, lr = [5e-05] +[2024-05-21 03:29:18,503] - INFO: Epoch 4639/9999, Iter 231940: Loss = 0.013681866228580475, lr = [5e-05] +[2024-05-21 03:29:47,227] - INFO: Epoch 4640/9999, Iter 231960: Loss = 0.010904468595981598, lr = [5e-05] +[2024-05-21 03:30:15,359] - INFO: Epoch 4640/9999, Iter 231980: Loss = 0.0182343702763319, lr = [5e-05] +[2024-05-21 03:30:41,289] - INFO: Evaluate at epoch 4640! +[2024-05-21 03:30:45,412] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-21 03:30:45,412] - INFO: Eval PSNR (current): 37.968 (4640) SSIM (current): 0.9608 (4640) +[2024-05-21 03:30:45,412] - INFO: Evaluation over. +[2024-05-21 03:30:49,481] - INFO: Epoch 4641/9999, Iter 232000: Loss = 0.011599348857998848, lr = [5e-05] +[2024-05-21 03:31:15,791] - INFO: Epoch 4641/9999, Iter 232020: Loss = 0.013634425587952137, lr = [5e-05] +[2024-05-21 03:31:43,595] - INFO: Epoch 4641/9999, Iter 232040: Loss = 0.01731620915234089, lr = [5e-05] +[2024-05-21 03:32:12,896] - INFO: Epoch 4642/9999, Iter 232060: Loss = 0.01428985595703125, lr = [5e-05] +[2024-05-21 03:32:40,356] - INFO: Epoch 4642/9999, Iter 232080: Loss = 0.011004120111465454, lr = [5e-05] +[2024-05-21 03:33:09,479] - INFO: Epoch 4643/9999, Iter 232100: Loss = 0.011808672919869423, lr = [5e-05] +[2024-05-21 03:33:36,211] - INFO: Epoch 4643/9999, Iter 232120: Loss = 0.010312528349459171, lr = [5e-05] +[2024-05-21 03:34:04,043] - INFO: Epoch 4643/9999, Iter 232140: Loss = 0.012748162262141705, lr = [5e-05] +[2024-05-21 03:34:33,346] - INFO: Epoch 4644/9999, Iter 232160: Loss = 0.018417974933981895, lr = [5e-05] +[2024-05-21 03:35:01,168] - INFO: Epoch 4644/9999, Iter 232180: Loss = 0.015924908220767975, lr = [5e-05] +[2024-05-21 03:35:30,194] - INFO: Epoch 4645/9999, Iter 232200: Loss = 0.017402607947587967, lr = [5e-05] +[2024-05-21 03:35:58,261] - INFO: Epoch 4645/9999, Iter 232220: Loss = 0.007843145169317722, lr = [5e-05] +[2024-05-21 03:36:25,447] - INFO: Epoch 4645/9999, Iter 232240: Loss = 0.008927129209041595, lr = [5e-05] +[2024-05-21 03:36:37,902] - INFO: Evaluate at epoch 4645! +[2024-05-21 03:36:42,073] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-21 03:36:42,073] - INFO: Eval PSNR (current): 37.968 (4645) SSIM (current): 0.9607 (4645) +[2024-05-21 03:36:42,073] - INFO: Evaluation over. +[2024-05-21 03:37:00,423] - INFO: Epoch 4646/9999, Iter 232260: Loss = 0.008393174037337303, lr = [5e-05] +[2024-05-21 03:37:28,171] - INFO: Epoch 4646/9999, Iter 232280: Loss = 0.014691317453980446, lr = [5e-05] +[2024-05-21 03:37:57,143] - INFO: Epoch 4647/9999, Iter 232300: Loss = 0.013099491596221924, lr = [5e-05] +[2024-05-21 03:38:24,513] - INFO: Epoch 4647/9999, Iter 232320: Loss = 0.014351255260407925, lr = [5e-05] +[2024-05-21 03:38:52,498] - INFO: Epoch 4647/9999, Iter 232340: Loss = 0.012219958938658237, lr = [5e-05] +[2024-05-21 03:39:21,419] - INFO: Epoch 4648/9999, Iter 232360: Loss = 0.01332507748156786, lr = [5e-05] +[2024-05-21 03:39:49,351] - INFO: Epoch 4648/9999, Iter 232380: Loss = 0.011133807711303234, lr = [5e-05] +[2024-05-21 03:40:18,351] - INFO: Epoch 4649/9999, Iter 232400: Loss = 0.014750346541404724, lr = [5e-05] +[2024-05-21 03:40:45,163] - INFO: Epoch 4649/9999, Iter 232420: Loss = 0.013284916058182716, lr = [5e-05] +[2024-05-21 03:41:12,987] - INFO: Epoch 4649/9999, Iter 232440: Loss = 0.010614538565278053, lr = [5e-05] +[2024-05-21 03:41:42,615] - INFO: Epoch 4650/9999, Iter 232460: Loss = 0.014712870121002197, lr = [5e-05] +[2024-05-21 03:42:11,259] - INFO: Epoch 4650/9999, Iter 232480: Loss = 0.016990453004837036, lr = [5e-05] +[2024-05-21 03:42:37,135] - INFO: Evaluate at epoch 4650! +[2024-05-21 03:42:41,257] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-21 03:42:41,257] - INFO: Eval PSNR (current): 37.984 (4650) SSIM (current): 0.9607 (4650) +[2024-05-21 03:42:41,257] - INFO: Evaluation over. +[2024-05-21 03:42:45,441] - INFO: Epoch 4651/9999, Iter 232500: Loss = 0.01581808738410473, lr = [5e-05] +[2024-05-21 03:43:13,323] - INFO: Epoch 4651/9999, Iter 232520: Loss = 0.007175660692155361, lr = [5e-05] +[2024-05-21 03:43:41,443] - INFO: Epoch 4651/9999, Iter 232540: Loss = 0.018369290977716446, lr = [5e-05] +[2024-05-21 03:44:10,494] - INFO: Epoch 4652/9999, Iter 232560: Loss = 0.01096938457340002, lr = [5e-05] +[2024-05-21 03:44:38,236] - INFO: Epoch 4652/9999, Iter 232580: Loss = 0.011395911686122417, lr = [5e-05] +[2024-05-21 03:45:06,291] - INFO: Epoch 4653/9999, Iter 232600: Loss = 0.010991215705871582, lr = [5e-05] +[2024-05-21 03:45:34,755] - INFO: Epoch 4653/9999, Iter 232620: Loss = 0.015973610803484917, lr = [5e-05] +[2024-05-21 03:46:02,560] - INFO: Epoch 4653/9999, Iter 232640: Loss = 0.009273200295865536, lr = [5e-05] +[2024-05-21 03:46:31,147] - INFO: Epoch 4654/9999, Iter 232660: Loss = 0.014111984521150589, lr = [5e-05] +[2024-05-21 03:46:59,015] - INFO: Epoch 4654/9999, Iter 232680: Loss = 0.008761227130889893, lr = [5e-05] +[2024-05-21 03:47:28,017] - INFO: Epoch 4655/9999, Iter 232700: Loss = 0.009352624416351318, lr = [5e-05] +[2024-05-21 03:47:54,816] - INFO: Epoch 4655/9999, Iter 232720: Loss = 0.011681691743433475, lr = [5e-05] +[2024-05-21 03:48:22,948] - INFO: Epoch 4655/9999, Iter 232740: Loss = 0.01191874872893095, lr = [5e-05] +[2024-05-21 03:48:35,697] - INFO: Evaluate at epoch 4655! +[2024-05-21 03:48:39,818] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-21 03:48:39,818] - INFO: Eval PSNR (current): 37.960 (4655) SSIM (current): 0.9607 (4655) +[2024-05-21 03:48:39,818] - INFO: Evaluation over. +[2024-05-21 03:48:58,507] - INFO: Epoch 4656/9999, Iter 232760: Loss = 0.01207003090530634, lr = [5e-05] +[2024-05-21 03:49:26,643] - INFO: Epoch 4656/9999, Iter 232780: Loss = 0.009297902695834637, lr = [5e-05] +[2024-05-21 03:49:54,775] - INFO: Epoch 4657/9999, Iter 232800: Loss = 0.0089193657040596, lr = [5e-05] +[2024-05-21 03:50:22,419] - INFO: Epoch 4657/9999, Iter 232820: Loss = 0.014057344757020473, lr = [5e-05] +[2024-05-21 03:50:50,415] - INFO: Epoch 4657/9999, Iter 232840: Loss = 0.010936807841062546, lr = [5e-05] +[2024-05-21 03:51:18,505] - INFO: Epoch 4658/9999, Iter 232860: Loss = 0.014247657731175423, lr = [5e-05] +[2024-05-21 03:51:46,397] - INFO: Epoch 4658/9999, Iter 232880: Loss = 0.011703193187713623, lr = [5e-05] +[2024-05-21 03:52:16,955] - INFO: Epoch 4659/9999, Iter 232900: Loss = 0.0074758087284862995, lr = [5e-05] +[2024-05-21 03:52:44,235] - INFO: Epoch 4659/9999, Iter 232920: Loss = 0.010090098716318607, lr = [5e-05] +[2024-05-21 03:53:11,311] - INFO: Epoch 4659/9999, Iter 232940: Loss = 0.012834882363677025, lr = [5e-05] +[2024-05-21 03:53:41,491] - INFO: Epoch 4660/9999, Iter 232960: Loss = 0.01957247406244278, lr = [5e-05] +[2024-05-21 03:54:09,070] - INFO: Epoch 4660/9999, Iter 232980: Loss = 0.00965743139386177, lr = [5e-05] +[2024-05-21 03:54:34,437] - INFO: Evaluate at epoch 4660! +[2024-05-21 03:54:38,557] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-21 03:54:38,557] - INFO: Eval PSNR (current): 37.978 (4660) SSIM (current): 0.9607 (4660) +[2024-05-21 03:54:38,557] - INFO: Evaluation over. +[2024-05-21 03:54:43,550] - INFO: Epoch 4661/9999, Iter 233000: Loss = 0.01833145134150982, lr = [5e-05] +[2024-05-21 03:55:10,076] - INFO: Epoch 4661/9999, Iter 233020: Loss = 0.014310306869447231, lr = [5e-05] +[2024-05-21 03:55:38,038] - INFO: Epoch 4661/9999, Iter 233040: Loss = 0.013830287382006645, lr = [5e-05] +[2024-05-21 03:56:07,795] - INFO: Epoch 4662/9999, Iter 233060: Loss = 0.00985789392143488, lr = [5e-05] +[2024-05-21 03:56:36,223] - INFO: Epoch 4662/9999, Iter 233080: Loss = 0.010774586349725723, lr = [5e-05] +[2024-05-21 03:57:04,886] - INFO: Epoch 4663/9999, Iter 233100: Loss = 0.011325428262352943, lr = [5e-05] +[2024-05-21 03:57:32,404] - INFO: Epoch 4663/9999, Iter 233120: Loss = 0.010843153111636639, lr = [5e-05] +[2024-05-21 03:58:00,543] - INFO: Epoch 4663/9999, Iter 233140: Loss = 0.015925364568829536, lr = [5e-05] +[2024-05-21 03:58:29,963] - INFO: Epoch 4664/9999, Iter 233160: Loss = 0.014371232129633427, lr = [5e-05] +[2024-05-21 03:58:58,178] - INFO: Epoch 4664/9999, Iter 233180: Loss = 0.011795961298048496, lr = [5e-05] +[2024-05-21 03:59:27,135] - INFO: Epoch 4665/9999, Iter 233200: Loss = 0.01401984691619873, lr = [5e-05] +[2024-05-21 03:59:54,803] - INFO: Epoch 4665/9999, Iter 233220: Loss = 0.014668119139969349, lr = [5e-05] +[2024-05-21 04:00:22,262] - INFO: Epoch 4665/9999, Iter 233240: Loss = 0.019616033881902695, lr = [5e-05] +[2024-05-21 04:00:34,387] - INFO: Evaluate at epoch 4665! +[2024-05-21 04:00:38,678] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-21 04:00:38,678] - INFO: Eval PSNR (current): 37.944 (4665) SSIM (current): 0.9608 (4665) +[2024-05-21 04:00:38,678] - INFO: Evaluation over. +[2024-05-21 04:00:57,835] - INFO: Epoch 4666/9999, Iter 233260: Loss = 0.007700236514210701, lr = [5e-05] +[2024-05-21 04:01:24,956] - INFO: Epoch 4666/9999, Iter 233280: Loss = 0.013022849336266518, lr = [5e-05] +[2024-05-21 04:01:53,358] - INFO: Epoch 4667/9999, Iter 233300: Loss = 0.015970423817634583, lr = [5e-05] +[2024-05-21 04:02:21,479] - INFO: Epoch 4667/9999, Iter 233320: Loss = 0.009193776175379753, lr = [5e-05] +[2024-05-21 04:02:49,123] - INFO: Epoch 4667/9999, Iter 233340: Loss = 0.010784484446048737, lr = [5e-05] +[2024-05-21 04:03:18,455] - INFO: Epoch 4668/9999, Iter 233360: Loss = 0.017594607546925545, lr = [5e-05] +[2024-05-21 04:03:46,483] - INFO: Epoch 4668/9999, Iter 233380: Loss = 0.012121448293328285, lr = [5e-05] +[2024-05-21 04:04:15,342] - INFO: Epoch 4669/9999, Iter 233400: Loss = 0.011024831794202328, lr = [5e-05] +[2024-05-21 04:04:42,955] - INFO: Epoch 4669/9999, Iter 233420: Loss = 0.01314422208815813, lr = [5e-05] +[2024-05-21 04:05:11,131] - INFO: Epoch 4669/9999, Iter 233440: Loss = 0.0126156285405159, lr = [5e-05] +[2024-05-21 04:05:39,558] - INFO: Epoch 4670/9999, Iter 233460: Loss = 0.012974299490451813, lr = [5e-05] +[2024-05-21 04:06:06,203] - INFO: Epoch 4670/9999, Iter 233480: Loss = 0.014077919535338879, lr = [5e-05] +[2024-05-21 04:06:32,530] - INFO: Evaluate at epoch 4670! +[2024-05-21 04:06:36,720] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-21 04:06:36,720] - INFO: Eval PSNR (current): 37.976 (4670) SSIM (current): 0.9607 (4670) +[2024-05-21 04:06:36,720] - INFO: Evaluation over. +[2024-05-21 04:06:41,486] - INFO: Epoch 4671/9999, Iter 233500: Loss = 0.016752734780311584, lr = [5e-05] +[2024-05-21 04:07:09,295] - INFO: Epoch 4671/9999, Iter 233520: Loss = 0.011075891554355621, lr = [5e-05] +[2024-05-21 04:07:36,454] - INFO: Epoch 4671/9999, Iter 233540: Loss = 0.014380142092704773, lr = [5e-05] +[2024-05-21 04:08:05,146] - INFO: Epoch 4672/9999, Iter 233560: Loss = 0.0064948126673698425, lr = [5e-05] +[2024-05-21 04:08:31,258] - INFO: Epoch 4672/9999, Iter 233580: Loss = 0.011390112340450287, lr = [5e-05] +[2024-05-21 04:09:01,611] - INFO: Epoch 4673/9999, Iter 233600: Loss = 0.013840298168361187, lr = [5e-05] +[2024-05-21 04:09:29,370] - INFO: Epoch 4673/9999, Iter 233620: Loss = 0.012349091470241547, lr = [5e-05] +[2024-05-21 04:09:57,187] - INFO: Epoch 4673/9999, Iter 233640: Loss = 0.012727204710245132, lr = [5e-05] +[2024-05-21 04:10:25,570] - INFO: Epoch 4674/9999, Iter 233660: Loss = 0.009962291456758976, lr = [5e-05] +[2024-05-21 04:10:54,323] - INFO: Epoch 4674/9999, Iter 233680: Loss = 0.016010327264666557, lr = [5e-05] +[2024-05-21 04:11:22,943] - INFO: Epoch 4675/9999, Iter 233700: Loss = 0.009149206802248955, lr = [5e-05] +[2024-05-21 04:11:51,078] - INFO: Epoch 4675/9999, Iter 233720: Loss = 0.012486644089221954, lr = [5e-05] +[2024-05-21 04:12:18,590] - INFO: Epoch 4675/9999, Iter 233740: Loss = 0.01384757924824953, lr = [5e-05] +[2024-05-21 04:12:31,011] - INFO: Evaluate at epoch 4675! +[2024-05-21 04:12:35,128] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-21 04:12:35,129] - INFO: Eval PSNR (current): 37.998 (4675) SSIM (current): 0.9608 (4675) +[2024-05-21 04:12:35,129] - INFO: Evaluation over. +[2024-05-21 04:12:53,710] - INFO: Epoch 4676/9999, Iter 233760: Loss = 0.00930305290967226, lr = [5e-05] +[2024-05-21 04:13:20,715] - INFO: Epoch 4676/9999, Iter 233780: Loss = 0.009223664179444313, lr = [5e-05] +[2024-05-21 04:13:49,387] - INFO: Epoch 4677/9999, Iter 233800: Loss = 0.012277095578610897, lr = [5e-05] +[2024-05-21 04:14:17,817] - INFO: Epoch 4677/9999, Iter 233820: Loss = 0.012172473594546318, lr = [5e-05] +[2024-05-21 04:14:45,115] - INFO: Epoch 4677/9999, Iter 233840: Loss = 0.011872285045683384, lr = [5e-05] +[2024-05-21 04:15:14,821] - INFO: Epoch 4678/9999, Iter 233860: Loss = 0.011314946226775646, lr = [5e-05] +[2024-05-21 04:15:43,322] - INFO: Epoch 4678/9999, Iter 233880: Loss = 0.012327117845416069, lr = [5e-05] +[2024-05-21 04:16:12,211] - INFO: Epoch 4679/9999, Iter 233900: Loss = 0.011370654217898846, lr = [5e-05] +[2024-05-21 04:16:40,607] - INFO: Epoch 4679/9999, Iter 233920: Loss = 0.009553198702633381, lr = [5e-05] +[2024-05-21 04:17:07,967] - INFO: Epoch 4679/9999, Iter 233940: Loss = 0.01827344298362732, lr = [5e-05] +[2024-05-21 04:17:35,469] - INFO: Epoch 4680/9999, Iter 233960: Loss = 0.018646715208888054, lr = [5e-05] +[2024-05-21 04:18:02,547] - INFO: Epoch 4680/9999, Iter 233980: Loss = 0.01306900754570961, lr = [5e-05] +[2024-05-21 04:18:29,477] - INFO: Evaluate at epoch 4680! +[2024-05-21 04:18:33,597] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-21 04:18:33,597] - INFO: Eval PSNR (current): 37.918 (4680) SSIM (current): 0.9608 (4680) +[2024-05-21 04:18:33,597] - INFO: Evaluation over. +[2024-05-21 04:18:38,030] - INFO: Epoch 4681/9999, Iter 234000: Loss = 0.012871071696281433, lr = [5e-05] +[2024-05-21 04:19:06,640] - INFO: Epoch 4681/9999, Iter 234020: Loss = 0.014206672087311745, lr = [5e-05] +[2024-05-21 04:19:34,451] - INFO: Epoch 4681/9999, Iter 234040: Loss = 0.01032562367618084, lr = [5e-05] +[2024-05-21 04:20:03,017] - INFO: Epoch 4682/9999, Iter 234060: Loss = 0.01858399622142315, lr = [5e-05] +[2024-05-21 04:20:30,358] - INFO: Epoch 4682/9999, Iter 234080: Loss = 0.014451632276177406, lr = [5e-05] +[2024-05-21 04:21:00,139] - INFO: Epoch 4683/9999, Iter 234100: Loss = 0.017632419243454933, lr = [5e-05] +[2024-05-21 04:21:26,926] - INFO: Epoch 4683/9999, Iter 234120: Loss = 0.011106462217867374, lr = [5e-05] +[2024-05-21 04:21:54,723] - INFO: Epoch 4683/9999, Iter 234140: Loss = 0.011832979507744312, lr = [5e-05] +[2024-05-21 04:22:23,797] - INFO: Epoch 4684/9999, Iter 234160: Loss = 0.012242233380675316, lr = [5e-05] +[2024-05-21 04:22:51,680] - INFO: Epoch 4684/9999, Iter 234180: Loss = 0.01261042058467865, lr = [5e-05] +[2024-05-21 04:23:20,879] - INFO: Epoch 4685/9999, Iter 234200: Loss = 0.0065198028460145, lr = [5e-05] +[2024-05-21 04:23:48,723] - INFO: Epoch 4685/9999, Iter 234220: Loss = 0.01843331754207611, lr = [5e-05] +[2024-05-21 04:24:17,059] - INFO: Epoch 4685/9999, Iter 234240: Loss = 0.013223057612776756, lr = [5e-05] +[2024-05-21 04:24:29,185] - INFO: Evaluate at epoch 4685! +[2024-05-21 04:24:33,310] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-21 04:24:33,310] - INFO: Eval PSNR (current): 37.945 (4685) SSIM (current): 0.9607 (4685) +[2024-05-21 04:24:33,310] - INFO: Evaluation over. +[2024-05-21 04:24:51,923] - INFO: Epoch 4686/9999, Iter 234260: Loss = 0.01695231907069683, lr = [5e-05] +[2024-05-21 04:25:19,980] - INFO: Epoch 4686/9999, Iter 234280: Loss = 0.010688132606446743, lr = [5e-05] +[2024-05-21 04:25:48,854] - INFO: Epoch 4687/9999, Iter 234300: Loss = 0.014987815171480179, lr = [5e-05] +[2024-05-21 04:26:16,203] - INFO: Epoch 4687/9999, Iter 234320: Loss = 0.011771063320338726, lr = [5e-05] +[2024-05-21 04:26:44,911] - INFO: Epoch 4687/9999, Iter 234340: Loss = 0.012242800556123257, lr = [5e-05] +[2024-05-21 04:27:13,875] - INFO: Epoch 4688/9999, Iter 234360: Loss = 0.00939468014985323, lr = [5e-05] +[2024-05-21 04:27:41,859] - INFO: Epoch 4688/9999, Iter 234380: Loss = 0.016364142298698425, lr = [5e-05] +[2024-05-21 04:28:11,123] - INFO: Epoch 4689/9999, Iter 234400: Loss = 0.013681014068424702, lr = [5e-05] +[2024-05-21 04:28:38,021] - INFO: Epoch 4689/9999, Iter 234420: Loss = 0.019140541553497314, lr = [5e-05] +[2024-05-21 04:29:06,202] - INFO: Epoch 4689/9999, Iter 234440: Loss = 0.011935265734791756, lr = [5e-05] +[2024-05-21 04:29:35,528] - INFO: Epoch 4690/9999, Iter 234460: Loss = 0.022434046491980553, lr = [5e-05] +[2024-05-21 04:30:02,851] - INFO: Epoch 4690/9999, Iter 234480: Loss = 0.008548007346689701, lr = [5e-05] +[2024-05-21 04:30:29,234] - INFO: Evaluate at epoch 4690! +[2024-05-21 04:30:33,363] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-21 04:30:33,364] - INFO: Eval PSNR (current): 38.007 (4690) SSIM (current): 0.9608 (4690) +[2024-05-21 04:30:33,364] - INFO: Evaluation over. +[2024-05-21 04:30:37,551] - INFO: Epoch 4691/9999, Iter 234500: Loss = 0.020016944035887718, lr = [5e-05] +[2024-05-21 04:31:05,474] - INFO: Epoch 4691/9999, Iter 234520: Loss = 0.011209742166101933, lr = [5e-05] +[2024-05-21 04:31:33,283] - INFO: Epoch 4691/9999, Iter 234540: Loss = 0.017693396657705307, lr = [5e-05] +[2024-05-21 04:32:02,207] - INFO: Epoch 4692/9999, Iter 234560: Loss = 0.017835937440395355, lr = [5e-05] +[2024-05-21 04:32:30,115] - INFO: Epoch 4692/9999, Iter 234580: Loss = 0.01906766928732395, lr = [5e-05] +[2024-05-21 04:32:59,467] - INFO: Epoch 4693/9999, Iter 234600: Loss = 0.015714380890130997, lr = [5e-05] +[2024-05-21 04:33:26,814] - INFO: Epoch 4693/9999, Iter 234620: Loss = 0.014567708596587181, lr = [5e-05] +[2024-05-21 04:33:53,873] - INFO: Epoch 4693/9999, Iter 234640: Loss = 0.014727139845490456, lr = [5e-05] +[2024-05-21 04:34:23,107] - INFO: Epoch 4694/9999, Iter 234660: Loss = 0.017205342650413513, lr = [5e-05] +[2024-05-21 04:34:50,136] - INFO: Epoch 4694/9999, Iter 234680: Loss = 0.015858076512813568, lr = [5e-05] +[2024-05-21 04:35:19,245] - INFO: Epoch 4695/9999, Iter 234700: Loss = 0.008747016079723835, lr = [5e-05] +[2024-05-21 04:35:46,598] - INFO: Epoch 4695/9999, Iter 234720: Loss = 0.0046604955568909645, lr = [5e-05] +[2024-05-21 04:36:13,594] - INFO: Epoch 4695/9999, Iter 234740: Loss = 0.013919103890657425, lr = [5e-05] +[2024-05-21 04:36:26,255] - INFO: Evaluate at epoch 4695! +[2024-05-21 04:36:30,382] - INFO: Eval PSNR (max): 38.018 (3385) SSIM (max): 0.9609 (3375) +[2024-05-21 04:36:30,383] - INFO: Eval PSNR (current): 37.982 (4695) SSIM (current): 0.9608 (4695) +[2024-05-21 04:36:30,383] - INFO: Evaluation over. +[2024-05-21 04:36:47,907] - INFO: Epoch 4696/9999, Iter 234760: Loss = 0.0180648360401392, lr = [5e-05] +[2024-05-21 04:37:14,730] - INFO: Epoch 4696/9999, Iter 234780: Loss = 0.012558813206851482, lr = [5e-05] +[2024-05-21 04:37:43,315] - INFO: Epoch 4697/9999, Iter 234800: Loss = 0.010838347487151623, lr = [5e-05] +[2024-05-21 04:38:10,231] - INFO: Epoch 4697/9999, Iter 234820: Loss = 0.010546098463237286, lr = [5e-05] +[2024-05-21 04:38:37,861] - INFO: Epoch 4697/9999, Iter 234840: Loss = 0.012299449183046818, lr = [5e-05] +[2024-05-21 04:39:07,171] - INFO: Epoch 4698/9999, Iter 234860: Loss = 0.015178536996245384, lr = [5e-05] +[2024-05-21 04:39:34,485] - INFO: Epoch 4698/9999, Iter 234880: Loss = 0.00740212295204401, lr = [5e-05] +[2024-05-21 04:40:03,772] - INFO: Epoch 4699/9999, Iter 234900: Loss = 0.014433864504098892, lr = [5e-05] +[2024-05-21 04:40:32,499] - INFO: Epoch 4699/9999, Iter 234920: Loss = 0.012220465578138828, lr = [5e-05] +[2024-05-21 04:40:59,252] - INFO: Epoch 4699/9999, Iter 234940: Loss = 0.010084659792482853, lr = [5e-05] +[2024-05-21 04:41:27,717] - INFO: Epoch 4700/9999, Iter 234960: Loss = 0.016283264383673668, lr = [5e-05] +[2024-05-21 04:41:55,243] - INFO: Epoch 4700/9999, Iter 234980: Loss = 0.016293395310640335, lr = [5e-05] +[2024-05-21 04:42:21,563] - INFO: Evaluate at epoch 4700! +[2024-05-21 04:42:27,285] - INFO: Eval PSNR (max): 38.030 (4700) SSIM (max): 0.9609 (3375) +[2024-05-21 04:42:27,285] - INFO: Eval PSNR (current): 38.030 (4700) SSIM (current): 0.9608 (4700) +[2024-05-21 04:42:27,286] - INFO: Evaluation over. +[2024-05-21 04:42:31,534] - INFO: Epoch 4701/9999, Iter 235000: Loss = 0.01098719984292984, lr = [5e-05] +[2024-05-21 04:42:59,509] - INFO: Epoch 4701/9999, Iter 235020: Loss = 0.011739847250282764, lr = [5e-05] +[2024-05-21 04:43:27,759] - INFO: Epoch 4701/9999, Iter 235040: Loss = 0.02300748974084854, lr = [5e-05] +[2024-05-21 04:43:56,297] - INFO: Epoch 4702/9999, Iter 235060: Loss = 0.013591106049716473, lr = [5e-05] +[2024-05-21 04:44:22,891] - INFO: Epoch 4702/9999, Iter 235080: Loss = 0.014938794076442719, lr = [5e-05] +[2024-05-21 04:44:52,747] - INFO: Epoch 4703/9999, Iter 235100: Loss = 0.014267675578594208, lr = [5e-05] +[2024-05-21 04:45:20,107] - INFO: Epoch 4703/9999, Iter 235120: Loss = 0.016173113137483597, lr = [5e-05] +[2024-05-21 04:45:48,875] - INFO: Epoch 4703/9999, Iter 235140: Loss = 0.010892719961702824, lr = [5e-05] +[2024-05-21 04:46:17,667] - INFO: Epoch 4704/9999, Iter 235160: Loss = 0.014213042333722115, lr = [5e-05] +[2024-05-21 04:46:44,651] - INFO: Epoch 4704/9999, Iter 235180: Loss = 0.01651429571211338, lr = [5e-05] +[2024-05-21 04:47:13,366] - INFO: Epoch 4705/9999, Iter 235200: Loss = 0.018671035766601562, lr = [5e-05] +[2024-05-21 04:47:41,047] - INFO: Epoch 4705/9999, Iter 235220: Loss = 0.016030145809054375, lr = [5e-05] +[2024-05-21 04:48:08,315] - INFO: Epoch 4705/9999, Iter 235240: Loss = 0.010693908669054508, lr = [5e-05] +[2024-05-21 04:48:20,221] - INFO: Evaluate at epoch 4705! +[2024-05-21 04:48:24,415] - INFO: Eval PSNR (max): 38.030 (4700) SSIM (max): 0.9609 (3375) +[2024-05-21 04:48:24,415] - INFO: Eval PSNR (current): 38.016 (4705) SSIM (current): 0.9608 (4705) +[2024-05-21 04:48:24,415] - INFO: Evaluation over. +[2024-05-21 04:48:42,738] - INFO: Epoch 4706/9999, Iter 235260: Loss = 0.014798644930124283, lr = [5e-05] +[2024-05-21 04:49:10,584] - INFO: Epoch 4706/9999, Iter 235280: Loss = 0.01646479405462742, lr = [5e-05] +[2024-05-21 04:49:39,349] - INFO: Epoch 4707/9999, Iter 235300: Loss = 0.010722893290221691, lr = [5e-05] +[2024-05-21 04:50:07,249] - INFO: Epoch 4707/9999, Iter 235320: Loss = 0.01646696776151657, lr = [5e-05] +[2024-05-21 04:50:35,223] - INFO: Epoch 4707/9999, Iter 235340: Loss = 0.015320760197937489, lr = [5e-05] +[2024-05-21 04:51:03,595] - INFO: Epoch 4708/9999, Iter 235360: Loss = 0.010535845533013344, lr = [5e-05] +[2024-05-21 04:51:31,342] - INFO: Epoch 4708/9999, Iter 235380: Loss = 0.006621350534260273, lr = [5e-05] +[2024-05-21 04:52:00,843] - INFO: Epoch 4709/9999, Iter 235400: Loss = 0.01619071513414383, lr = [5e-05] +[2024-05-21 04:52:29,010] - INFO: Epoch 4709/9999, Iter 235420: Loss = 0.011036725714802742, lr = [5e-05] +[2024-05-21 04:52:57,139] - INFO: Epoch 4709/9999, Iter 235440: Loss = 0.02141496166586876, lr = [5e-05] +[2024-05-21 04:53:25,867] - INFO: Epoch 4710/9999, Iter 235460: Loss = 0.014805586077272892, lr = [5e-05] +[2024-05-21 04:53:53,583] - INFO: Epoch 4710/9999, Iter 235480: Loss = 0.01014789380133152, lr = [5e-05] +[2024-05-21 04:54:19,606] - INFO: Evaluate at epoch 4710! +[2024-05-21 04:54:23,719] - INFO: Eval PSNR (max): 38.030 (4700) SSIM (max): 0.9609 (3375) +[2024-05-21 04:54:23,719] - INFO: Eval PSNR (current): 38.017 (4710) SSIM (current): 0.9609 (4710) +[2024-05-21 04:54:23,719] - INFO: Evaluation over. +[2024-05-21 04:54:28,043] - INFO: Epoch 4711/9999, Iter 235500: Loss = 0.011524691246449947, lr = [5e-05] +[2024-05-21 04:54:56,025] - INFO: Epoch 4711/9999, Iter 235520: Loss = 0.01302548497915268, lr = [5e-05] +[2024-05-21 04:55:23,259] - INFO: Epoch 4711/9999, Iter 235540: Loss = 0.010929200798273087, lr = [5e-05] +[2024-05-21 04:55:52,511] - INFO: Epoch 4712/9999, Iter 235560: Loss = 0.012729247100651264, lr = [5e-05] +[2024-05-21 04:56:20,001] - INFO: Epoch 4712/9999, Iter 235580: Loss = 0.014149085618555546, lr = [5e-05] +[2024-05-21 04:56:49,375] - INFO: Epoch 4713/9999, Iter 235600: Loss = 0.011706629768013954, lr = [5e-05] +[2024-05-21 04:57:17,377] - INFO: Epoch 4713/9999, Iter 235620: Loss = 0.007881797850131989, lr = [5e-05] +[2024-05-21 04:57:45,408] - INFO: Epoch 4713/9999, Iter 235640: Loss = 0.012013435363769531, lr = [5e-05] +[2024-05-21 04:58:14,693] - INFO: Epoch 4714/9999, Iter 235660: Loss = 0.014863144606351852, lr = [5e-05] +[2024-05-21 04:58:43,421] - INFO: Epoch 4714/9999, Iter 235680: Loss = 0.010700436308979988, lr = [5e-05] +[2024-05-21 04:59:12,035] - INFO: Epoch 4715/9999, Iter 235700: Loss = 0.012700569815933704, lr = [5e-05] +[2024-05-21 04:59:38,879] - INFO: Epoch 4715/9999, Iter 235720: Loss = 0.015324877575039864, lr = [5e-05] +[2024-05-21 05:00:06,558] - INFO: Epoch 4715/9999, Iter 235740: Loss = 0.01482273917645216, lr = [5e-05] +[2024-05-21 05:00:18,919] - INFO: Evaluate at epoch 4715! +[2024-05-21 05:00:23,033] - INFO: Eval PSNR (max): 38.030 (4700) SSIM (max): 0.9609 (3375) +[2024-05-21 05:00:23,034] - INFO: Eval PSNR (current): 38.004 (4715) SSIM (current): 0.9608 (4715) +[2024-05-21 05:00:23,034] - INFO: Evaluation over. +[2024-05-21 05:00:41,247] - INFO: Epoch 4716/9999, Iter 235760: Loss = 0.01154674869030714, lr = [5e-05] +[2024-05-21 05:01:09,320] - INFO: Epoch 4716/9999, Iter 235780: Loss = 0.01311606913805008, lr = [5e-05] +[2024-05-21 05:01:38,341] - INFO: Epoch 4717/9999, Iter 235800: Loss = 0.016704896464943886, lr = [5e-05] +[2024-05-21 05:02:05,459] - INFO: Epoch 4717/9999, Iter 235820: Loss = 0.01699145697057247, lr = [5e-05] +[2024-05-21 05:02:32,190] - INFO: Epoch 4717/9999, Iter 235840: Loss = 0.01655649021267891, lr = [5e-05] +[2024-05-21 05:03:01,456] - INFO: Epoch 4718/9999, Iter 235860: Loss = 0.009729471988976002, lr = [5e-05] +[2024-05-21 05:03:30,486] - INFO: Epoch 4718/9999, Iter 235880: Loss = 0.009681965224444866, lr = [5e-05] +[2024-05-21 05:03:59,175] - INFO: Epoch 4719/9999, Iter 235900: Loss = 0.0076713259331882, lr = [5e-05] +[2024-05-21 05:04:27,022] - INFO: Epoch 4719/9999, Iter 235920: Loss = 0.02094217576086521, lr = [5e-05] +[2024-05-21 05:04:54,606] - INFO: Epoch 4719/9999, Iter 235940: Loss = 0.013445854187011719, lr = [5e-05] +[2024-05-21 05:05:24,243] - INFO: Epoch 4720/9999, Iter 235960: Loss = 0.012843695469200611, lr = [5e-05] +[2024-05-21 05:05:52,601] - INFO: Epoch 4720/9999, Iter 235980: Loss = 0.011849666014313698, lr = [5e-05] +[2024-05-21 05:06:18,419] - INFO: Evaluate at epoch 4720! +[2024-05-21 05:06:22,737] - INFO: Eval PSNR (max): 38.030 (4700) SSIM (max): 0.9609 (3375) +[2024-05-21 05:06:22,737] - INFO: Eval PSNR (current): 37.979 (4720) SSIM (current): 0.9608 (4720) +[2024-05-21 05:06:22,737] - INFO: Evaluation over. +[2024-05-21 05:06:27,291] - INFO: Epoch 4721/9999, Iter 236000: Loss = 0.01174626313149929, lr = [5e-05] +[2024-05-21 05:06:55,567] - INFO: Epoch 4721/9999, Iter 236020: Loss = 0.011408095248043537, lr = [5e-05] +[2024-05-21 05:07:24,137] - INFO: Epoch 4721/9999, Iter 236040: Loss = 0.01741698943078518, lr = [5e-05] +[2024-05-21 05:07:53,332] - INFO: Epoch 4722/9999, Iter 236060: Loss = 0.015026239678263664, lr = [5e-05] +[2024-05-21 05:08:22,080] - INFO: Epoch 4722/9999, Iter 236080: Loss = 0.00917135551571846, lr = [5e-05] +[2024-05-21 05:08:50,571] - INFO: Epoch 4723/9999, Iter 236100: Loss = 0.011100087314844131, lr = [5e-05] +[2024-05-21 05:09:18,429] - INFO: Epoch 4723/9999, Iter 236120: Loss = 0.01290297880768776, lr = [5e-05] +[2024-05-21 05:09:46,450] - INFO: Epoch 4723/9999, Iter 236140: Loss = 0.013424837961792946, lr = [5e-05] +[2024-05-21 05:10:15,439] - INFO: Epoch 4724/9999, Iter 236160: Loss = 0.010350333526730537, lr = [5e-05] +[2024-05-21 05:10:43,950] - INFO: Epoch 4724/9999, Iter 236180: Loss = 0.016172226518392563, lr = [5e-05] +[2024-05-21 05:11:12,599] - INFO: Epoch 4725/9999, Iter 236200: Loss = 0.012515554204583168, lr = [5e-05] +[2024-05-21 05:11:40,744] - INFO: Epoch 4725/9999, Iter 236220: Loss = 0.017199646681547165, lr = [5e-05] +[2024-05-21 05:12:07,687] - INFO: Epoch 4725/9999, Iter 236240: Loss = 0.01256821770220995, lr = [5e-05] +[2024-05-21 05:12:20,050] - INFO: Evaluate at epoch 4725! +[2024-05-21 05:12:24,164] - INFO: Eval PSNR (max): 38.030 (4700) SSIM (max): 0.9609 (3375) +[2024-05-21 05:12:24,164] - INFO: Eval PSNR (current): 38.001 (4725) SSIM (current): 0.9608 (4725) +[2024-05-21 05:12:24,164] - INFO: Evaluation over. +[2024-05-21 05:12:42,019] - INFO: Epoch 4726/9999, Iter 236260: Loss = 0.021281028166413307, lr = [5e-05] +[2024-05-21 05:13:10,911] - INFO: Epoch 4726/9999, Iter 236280: Loss = 0.013317544013261795, lr = [5e-05] +[2024-05-21 05:13:39,983] - INFO: Epoch 4727/9999, Iter 236300: Loss = 0.011914761736989021, lr = [5e-05] +[2024-05-21 05:14:07,611] - INFO: Epoch 4727/9999, Iter 236320: Loss = 0.013380244374275208, lr = [5e-05] +[2024-05-21 05:14:35,751] - INFO: Epoch 4727/9999, Iter 236340: Loss = 0.012316412292420864, lr = [5e-05] +[2024-05-21 05:15:04,466] - INFO: Epoch 4728/9999, Iter 236360: Loss = 0.011043868027627468, lr = [5e-05] +[2024-05-21 05:15:31,994] - INFO: Epoch 4728/9999, Iter 236380: Loss = 0.008822928182780743, lr = [5e-05] +[2024-05-21 05:16:00,023] - INFO: Epoch 4729/9999, Iter 236400: Loss = 0.008889613673090935, lr = [5e-05] +[2024-05-21 05:16:27,038] - INFO: Epoch 4729/9999, Iter 236420: Loss = 0.01456085592508316, lr = [5e-05] +[2024-05-21 05:16:54,807] - INFO: Epoch 4729/9999, Iter 236440: Loss = 0.01814720407128334, lr = [5e-05] +[2024-05-21 05:17:24,267] - INFO: Epoch 4730/9999, Iter 236460: Loss = 0.015967698767781258, lr = [5e-05] +[2024-05-21 05:17:52,126] - INFO: Epoch 4730/9999, Iter 236480: Loss = 0.014984185807406902, lr = [5e-05] +[2024-05-21 05:18:17,960] - INFO: Evaluate at epoch 4730! +[2024-05-21 05:18:22,070] - INFO: Eval PSNR (max): 38.030 (4700) SSIM (max): 0.9609 (3375) +[2024-05-21 05:18:22,071] - INFO: Eval PSNR (current): 37.940 (4730) SSIM (current): 0.9607 (4730) +[2024-05-21 05:18:22,071] - INFO: Evaluation over. +[2024-05-21 05:18:26,631] - INFO: Epoch 4731/9999, Iter 236500: Loss = 0.01458593551069498, lr = [5e-05] +[2024-05-21 05:18:54,324] - INFO: Epoch 4731/9999, Iter 236520: Loss = 0.015939809381961823, lr = [5e-05] +[2024-05-21 05:19:21,727] - INFO: Epoch 4731/9999, Iter 236540: Loss = 0.011210806667804718, lr = [5e-05] +[2024-05-21 05:19:50,319] - INFO: Epoch 4732/9999, Iter 236560: Loss = 0.019307274371385574, lr = [5e-05] +[2024-05-21 05:20:17,765] - INFO: Epoch 4732/9999, Iter 236580: Loss = 0.010742204263806343, lr = [5e-05] +[2024-05-21 05:20:46,335] - INFO: Epoch 4733/9999, Iter 236600: Loss = 0.01966770924627781, lr = [5e-05] +[2024-05-21 05:21:13,904] - INFO: Epoch 4733/9999, Iter 236620: Loss = 0.011648528277873993, lr = [5e-05] +[2024-05-21 05:21:40,991] - INFO: Epoch 4733/9999, Iter 236640: Loss = 0.010424620471894741, lr = [5e-05] +[2024-05-21 05:22:09,187] - INFO: Epoch 4734/9999, Iter 236660: Loss = 0.013044655323028564, lr = [5e-05] +[2024-05-21 05:22:36,289] - INFO: Epoch 4734/9999, Iter 236680: Loss = 0.011055124923586845, lr = [5e-05] +[2024-05-21 05:23:05,867] - INFO: Epoch 4735/9999, Iter 236700: Loss = 0.009499960578978062, lr = [5e-05] +[2024-05-21 05:23:33,684] - INFO: Epoch 4735/9999, Iter 236720: Loss = 0.014080953784286976, lr = [5e-05] +[2024-05-21 05:24:01,317] - INFO: Epoch 4735/9999, Iter 236740: Loss = 0.0074132890440523624, lr = [5e-05] +[2024-05-21 05:24:13,385] - INFO: Evaluate at epoch 4735! +[2024-05-21 05:24:17,544] - INFO: Eval PSNR (max): 38.030 (4700) SSIM (max): 0.9609 (3375) +[2024-05-21 05:24:17,544] - INFO: Eval PSNR (current): 37.993 (4735) SSIM (current): 0.9607 (4735) +[2024-05-21 05:24:17,544] - INFO: Evaluation over. +[2024-05-21 05:24:36,033] - INFO: Epoch 4736/9999, Iter 236760: Loss = 0.0178887490183115, lr = [5e-05] +[2024-05-21 05:25:03,571] - INFO: Epoch 4736/9999, Iter 236780: Loss = 0.013566352427005768, lr = [5e-05] +[2024-05-21 05:25:32,782] - INFO: Epoch 4737/9999, Iter 236800: Loss = 0.011670231819152832, lr = [5e-05] +[2024-05-21 05:26:00,459] - INFO: Epoch 4737/9999, Iter 236820: Loss = 0.014024284668266773, lr = [5e-05] +[2024-05-21 05:26:28,345] - INFO: Epoch 4737/9999, Iter 236840: Loss = 0.011243678629398346, lr = [5e-05] +[2024-05-21 05:26:57,137] - INFO: Epoch 4738/9999, Iter 236860: Loss = 0.013860465958714485, lr = [5e-05] +[2024-05-21 05:27:25,375] - INFO: Epoch 4738/9999, Iter 236880: Loss = 0.013223659247159958, lr = [5e-05] +[2024-05-21 05:27:54,430] - INFO: Epoch 4739/9999, Iter 236900: Loss = 0.009952042251825333, lr = [5e-05] +[2024-05-21 05:28:22,455] - INFO: Epoch 4739/9999, Iter 236920: Loss = 0.008310836739838123, lr = [5e-05] +[2024-05-21 05:28:50,627] - INFO: Epoch 4739/9999, Iter 236940: Loss = 0.014483709819614887, lr = [5e-05] +[2024-05-21 05:29:18,527] - INFO: Epoch 4740/9999, Iter 236960: Loss = 0.010580003261566162, lr = [5e-05] +[2024-05-21 05:29:46,891] - INFO: Epoch 4740/9999, Iter 236980: Loss = 0.015574506483972073, lr = [5e-05] +[2024-05-21 05:30:12,717] - INFO: Evaluate at epoch 4740! +[2024-05-21 05:30:16,918] - INFO: Eval PSNR (max): 38.030 (4700) SSIM (max): 0.9609 (3375) +[2024-05-21 05:30:16,919] - INFO: Eval PSNR (current): 37.999 (4740) SSIM (current): 0.9608 (4740) +[2024-05-21 05:30:16,919] - INFO: Evaluation over. +[2024-05-21 05:30:21,714] - INFO: Epoch 4741/9999, Iter 237000: Loss = 0.016149381175637245, lr = [5e-05] +[2024-05-21 05:30:49,418] - INFO: Epoch 4741/9999, Iter 237020: Loss = 0.015879187732934952, lr = [5e-05] +[2024-05-21 05:31:17,055] - INFO: Epoch 4741/9999, Iter 237040: Loss = 0.017991671338677406, lr = [5e-05] +[2024-05-21 05:31:45,563] - INFO: Epoch 4742/9999, Iter 237060: Loss = 0.012699292972683907, lr = [5e-05] +[2024-05-21 05:32:13,120] - INFO: Epoch 4742/9999, Iter 237080: Loss = 0.010514001362025738, lr = [5e-05] +[2024-05-21 05:32:42,063] - INFO: Epoch 4743/9999, Iter 237100: Loss = 0.011414860375225544, lr = [5e-05] +[2024-05-21 05:33:10,743] - INFO: Epoch 4743/9999, Iter 237120: Loss = 0.016239667311310768, lr = [5e-05] +[2024-05-21 05:33:37,962] - INFO: Epoch 4743/9999, Iter 237140: Loss = 0.011349360458552837, lr = [5e-05] +[2024-05-21 05:34:06,736] - INFO: Epoch 4744/9999, Iter 237160: Loss = 0.011211568489670753, lr = [5e-05] +[2024-05-21 05:34:33,673] - INFO: Epoch 4744/9999, Iter 237180: Loss = 0.014683718793094158, lr = [5e-05] +[2024-05-21 05:35:02,610] - INFO: Epoch 4745/9999, Iter 237200: Loss = 0.011450103484094143, lr = [5e-05] +[2024-05-21 05:35:29,661] - INFO: Epoch 4745/9999, Iter 237220: Loss = 0.008422388695180416, lr = [5e-05] +[2024-05-21 05:35:58,738] - INFO: Epoch 4745/9999, Iter 237240: Loss = 0.017605764791369438, lr = [5e-05] +[2024-05-21 05:36:10,757] - INFO: Evaluate at epoch 4745! +[2024-05-21 05:36:14,923] - INFO: Eval PSNR (max): 38.030 (4700) SSIM (max): 0.9609 (3375) +[2024-05-21 05:36:14,924] - INFO: Eval PSNR (current): 37.997 (4745) SSIM (current): 0.9608 (4745) +[2024-05-21 05:36:14,924] - INFO: Evaluation over. +[2024-05-21 05:36:33,219] - INFO: Epoch 4746/9999, Iter 237260: Loss = 0.012040199711918831, lr = [5e-05] +[2024-05-21 05:37:00,151] - INFO: Epoch 4746/9999, Iter 237280: Loss = 0.016491057351231575, lr = [5e-05] +[2024-05-21 05:37:29,582] - INFO: Epoch 4747/9999, Iter 237300: Loss = 0.01654648967087269, lr = [5e-05] +[2024-05-21 05:37:58,165] - INFO: Epoch 4747/9999, Iter 237320: Loss = 0.014529727399349213, lr = [5e-05] +[2024-05-21 05:38:25,735] - INFO: Epoch 4747/9999, Iter 237340: Loss = 0.01170750055462122, lr = [5e-05] +[2024-05-21 05:38:54,279] - INFO: Epoch 4748/9999, Iter 237360: Loss = 0.016069747507572174, lr = [5e-05] +[2024-05-21 05:39:22,448] - INFO: Epoch 4748/9999, Iter 237380: Loss = 0.01456164475530386, lr = [5e-05] +[2024-05-21 05:39:51,275] - INFO: Epoch 4749/9999, Iter 237400: Loss = 0.007421197835355997, lr = [5e-05] +[2024-05-21 05:40:19,215] - INFO: Epoch 4749/9999, Iter 237420: Loss = 0.013305437751114368, lr = [5e-05] +[2024-05-21 05:40:46,607] - INFO: Epoch 4749/9999, Iter 237440: Loss = 0.015795348212122917, lr = [5e-05] +[2024-05-21 05:41:16,691] - INFO: Epoch 4750/9999, Iter 237460: Loss = 0.014442143961787224, lr = [5e-05] +[2024-05-21 05:41:44,215] - INFO: Epoch 4750/9999, Iter 237480: Loss = 0.017802346497774124, lr = [5e-05] +[2024-05-21 05:42:10,818] - INFO: Evaluate at epoch 4750! +[2024-05-21 05:42:14,945] - INFO: Eval PSNR (max): 38.030 (4700) SSIM (max): 0.9609 (3375) +[2024-05-21 05:42:14,946] - INFO: Eval PSNR (current): 38.003 (4750) SSIM (current): 0.9608 (4750) +[2024-05-21 05:42:14,946] - INFO: Evaluation over. +[2024-05-21 05:42:19,421] - INFO: Epoch 4751/9999, Iter 237500: Loss = 0.011654525063931942, lr = [5e-05] +[2024-05-21 05:42:47,041] - INFO: Epoch 4751/9999, Iter 237520: Loss = 0.014497536234557629, lr = [5e-05] +[2024-05-21 05:43:13,723] - INFO: Epoch 4751/9999, Iter 237540: Loss = 0.02144833281636238, lr = [5e-05] +[2024-05-21 05:43:42,579] - INFO: Epoch 4752/9999, Iter 237560: Loss = 0.011876733973622322, lr = [5e-05] +[2024-05-21 05:44:09,902] - INFO: Epoch 4752/9999, Iter 237580: Loss = 0.013661256991326809, lr = [5e-05] +[2024-05-21 05:44:38,217] - INFO: Epoch 4753/9999, Iter 237600: Loss = 0.008726297877728939, lr = [5e-05] +[2024-05-21 05:45:06,117] - INFO: Epoch 4753/9999, Iter 237620: Loss = 0.01604735292494297, lr = [5e-05] +[2024-05-21 05:45:32,924] - INFO: Epoch 4753/9999, Iter 237640: Loss = 0.00960899330675602, lr = [5e-05] +[2024-05-21 05:46:02,323] - INFO: Epoch 4754/9999, Iter 237660: Loss = 0.01040886715054512, lr = [5e-05] +[2024-05-21 05:46:30,507] - INFO: Epoch 4754/9999, Iter 237680: Loss = 0.013070771470665932, lr = [5e-05] +[2024-05-21 05:46:59,947] - INFO: Epoch 4755/9999, Iter 237700: Loss = 0.008695722557604313, lr = [5e-05] +[2024-05-21 05:47:27,611] - INFO: Epoch 4755/9999, Iter 237720: Loss = 0.009631341323256493, lr = [5e-05] +[2024-05-21 05:47:54,959] - INFO: Epoch 4755/9999, Iter 237740: Loss = 0.010725843720138073, lr = [5e-05] +[2024-05-21 05:48:07,743] - INFO: Evaluate at epoch 4755! +[2024-05-21 05:48:11,903] - INFO: Eval PSNR (max): 38.030 (4700) SSIM (max): 0.9609 (3375) +[2024-05-21 05:48:11,903] - INFO: Eval PSNR (current): 37.972 (4755) SSIM (current): 0.9609 (4755) +[2024-05-21 05:48:11,903] - INFO: Evaluation over. +[2024-05-21 05:48:29,667] - INFO: Epoch 4756/9999, Iter 237760: Loss = 0.010495040565729141, lr = [5e-05] +[2024-05-21 05:48:57,939] - INFO: Epoch 4756/9999, Iter 237780: Loss = 0.01305764727294445, lr = [5e-05] +[2024-05-21 05:49:27,152] - INFO: Epoch 4757/9999, Iter 237800: Loss = 0.01156556699424982, lr = [5e-05] +[2024-05-21 05:49:54,644] - INFO: Epoch 4757/9999, Iter 237820: Loss = 0.013343625701963902, lr = [5e-05] +[2024-05-21 05:50:21,511] - INFO: Epoch 4757/9999, Iter 237840: Loss = 0.01099637895822525, lr = [5e-05] +[2024-05-21 05:50:50,334] - INFO: Epoch 4758/9999, Iter 237860: Loss = 0.013230136595666409, lr = [5e-05] +[2024-05-21 05:51:18,818] - INFO: Epoch 4758/9999, Iter 237880: Loss = 0.016604160889983177, lr = [5e-05] +[2024-05-21 05:51:47,715] - INFO: Epoch 4759/9999, Iter 237900: Loss = 0.01663435995578766, lr = [5e-05] +[2024-05-21 05:52:14,907] - INFO: Epoch 4759/9999, Iter 237920: Loss = 0.014225800521671772, lr = [5e-05] +[2024-05-21 05:52:42,191] - INFO: Epoch 4759/9999, Iter 237940: Loss = 0.010386995039880276, lr = [5e-05] +[2024-05-21 05:53:10,268] - INFO: Epoch 4760/9999, Iter 237960: Loss = 0.01574941910803318, lr = [5e-05] +[2024-05-21 05:53:37,519] - INFO: Epoch 4760/9999, Iter 237980: Loss = 0.012774869799613953, lr = [5e-05] +[2024-05-21 05:54:03,927] - INFO: Evaluate at epoch 4760! +[2024-05-21 05:54:08,042] - INFO: Eval PSNR (max): 38.030 (4700) SSIM (max): 0.9609 (3375) +[2024-05-21 05:54:08,042] - INFO: Eval PSNR (current): 38.019 (4760) SSIM (current): 0.9609 (4760) +[2024-05-21 05:54:08,043] - INFO: Evaluation over. +[2024-05-21 05:54:12,606] - INFO: Epoch 4761/9999, Iter 238000: Loss = 0.014819345436990261, lr = [5e-05] +[2024-05-21 05:54:41,164] - INFO: Epoch 4761/9999, Iter 238020: Loss = 0.012165667489171028, lr = [5e-05] +[2024-05-21 05:55:08,908] - INFO: Epoch 4761/9999, Iter 238040: Loss = 0.01794862188398838, lr = [5e-05] +[2024-05-21 05:55:37,491] - INFO: Epoch 4762/9999, Iter 238060: Loss = 0.015976617112755775, lr = [5e-05] +[2024-05-21 05:56:06,350] - INFO: Epoch 4762/9999, Iter 238080: Loss = 0.013613608665764332, lr = [5e-05] +[2024-05-21 05:56:34,948] - INFO: Epoch 4763/9999, Iter 238100: Loss = 0.014610184356570244, lr = [5e-05] +[2024-05-21 05:57:02,414] - INFO: Epoch 4763/9999, Iter 238120: Loss = 0.009266418404877186, lr = [5e-05] +[2024-05-21 05:57:29,991] - INFO: Epoch 4763/9999, Iter 238140: Loss = 0.011614429764449596, lr = [5e-05] +[2024-05-21 05:57:58,459] - INFO: Epoch 4764/9999, Iter 238160: Loss = 0.01893487013876438, lr = [5e-05] +[2024-05-21 05:58:27,052] - INFO: Epoch 4764/9999, Iter 238180: Loss = 0.01254967413842678, lr = [5e-05] +[2024-05-21 05:58:55,635] - INFO: Epoch 4765/9999, Iter 238200: Loss = 0.013869131915271282, lr = [5e-05] +[2024-05-21 05:59:23,295] - INFO: Epoch 4765/9999, Iter 238220: Loss = 0.014342522248625755, lr = [5e-05] +[2024-05-21 05:59:50,399] - INFO: Epoch 4765/9999, Iter 238240: Loss = 0.008865411393344402, lr = [5e-05] +[2024-05-21 06:00:02,467] - INFO: Evaluate at epoch 4765! +[2024-05-21 06:00:06,586] - INFO: Eval PSNR (max): 38.030 (4700) SSIM (max): 0.9609 (3375) +[2024-05-21 06:00:06,586] - INFO: Eval PSNR (current): 37.943 (4765) SSIM (current): 0.9607 (4765) +[2024-05-21 06:00:06,586] - INFO: Evaluation over. +[2024-05-21 06:00:25,776] - INFO: Epoch 4766/9999, Iter 238260: Loss = 0.014464916661381721, lr = [5e-05] +[2024-05-21 06:00:53,425] - INFO: Epoch 4766/9999, Iter 238280: Loss = 0.010158943943679333, lr = [5e-05] +[2024-05-21 06:01:22,411] - INFO: Epoch 4767/9999, Iter 238300: Loss = 0.010692756623029709, lr = [5e-05] +[2024-05-21 06:01:50,472] - INFO: Epoch 4767/9999, Iter 238320: Loss = 0.009000186808407307, lr = [5e-05] +[2024-05-21 06:02:18,474] - INFO: Epoch 4767/9999, Iter 238340: Loss = 0.01178800966590643, lr = [5e-05] +[2024-05-21 06:02:47,928] - INFO: Epoch 4768/9999, Iter 238360: Loss = 0.01189698651432991, lr = [5e-05] +[2024-05-21 06:03:16,027] - INFO: Epoch 4768/9999, Iter 238380: Loss = 0.012347252108156681, lr = [5e-05] +[2024-05-21 06:03:44,634] - INFO: Epoch 4769/9999, Iter 238400: Loss = 0.01582777313888073, lr = [5e-05] +[2024-05-21 06:04:12,288] - INFO: Epoch 4769/9999, Iter 238420: Loss = 0.011122851632535458, lr = [5e-05] +[2024-05-21 06:04:40,740] - INFO: Epoch 4769/9999, Iter 238440: Loss = 0.011670847423374653, lr = [5e-05] +[2024-05-21 06:05:09,594] - INFO: Epoch 4770/9999, Iter 238460: Loss = 0.015461166389286518, lr = [5e-05] +[2024-05-21 06:05:37,491] - INFO: Epoch 4770/9999, Iter 238480: Loss = 0.014384476467967033, lr = [5e-05] +[2024-05-21 06:06:03,937] - INFO: Evaluate at epoch 4770! +[2024-05-21 06:06:08,135] - INFO: Eval PSNR (max): 38.030 (4700) SSIM (max): 0.9609 (3375) +[2024-05-21 06:06:08,135] - INFO: Eval PSNR (current): 37.974 (4770) SSIM (current): 0.9606 (4770) +[2024-05-21 06:06:08,135] - INFO: Evaluation over. +[2024-05-21 06:06:12,483] - INFO: Epoch 4771/9999, Iter 238500: Loss = 0.014518053270876408, lr = [5e-05] +[2024-05-21 06:06:39,406] - INFO: Epoch 4771/9999, Iter 238520: Loss = 0.01768597774207592, lr = [5e-05] +[2024-05-21 06:07:07,962] - INFO: Epoch 4771/9999, Iter 238540: Loss = 0.010075630620121956, lr = [5e-05] +[2024-05-21 06:07:36,353] - INFO: Epoch 4772/9999, Iter 238560: Loss = 0.012771153822541237, lr = [5e-05] +[2024-05-21 06:08:03,907] - INFO: Epoch 4772/9999, Iter 238580: Loss = 0.01100209727883339, lr = [5e-05] +[2024-05-21 06:08:33,346] - INFO: Epoch 4773/9999, Iter 238600: Loss = 0.015938574448227882, lr = [5e-05] +[2024-05-21 06:09:01,291] - INFO: Epoch 4773/9999, Iter 238620: Loss = 0.0208765659481287, lr = [5e-05] +[2024-05-21 06:09:29,218] - INFO: Epoch 4773/9999, Iter 238640: Loss = 0.014783980324864388, lr = [5e-05] +[2024-05-21 06:09:57,945] - INFO: Epoch 4774/9999, Iter 238660: Loss = 0.018082622438669205, lr = [5e-05] +[2024-05-21 06:10:25,643] - INFO: Epoch 4774/9999, Iter 238680: Loss = 0.007801074534654617, lr = [5e-05] +[2024-05-21 06:10:54,179] - INFO: Epoch 4775/9999, Iter 238700: Loss = 0.016221117228269577, lr = [5e-05] +[2024-05-21 06:11:21,323] - INFO: Epoch 4775/9999, Iter 238720: Loss = 0.017798030748963356, lr = [5e-05] +[2024-05-21 06:11:49,168] - INFO: Epoch 4775/9999, Iter 238740: Loss = 0.017395993694663048, lr = [5e-05] +[2024-05-21 06:12:01,306] - INFO: Evaluate at epoch 4775! +[2024-05-21 06:12:05,434] - INFO: Eval PSNR (max): 38.030 (4700) SSIM (max): 0.9609 (3375) +[2024-05-21 06:12:05,434] - INFO: Eval PSNR (current): 37.925 (4775) SSIM (current): 0.9606 (4775) +[2024-05-21 06:12:05,434] - INFO: Evaluation over. +[2024-05-21 06:12:23,847] - INFO: Epoch 4776/9999, Iter 238760: Loss = 0.01325465552508831, lr = [5e-05] +[2024-05-21 06:12:50,791] - INFO: Epoch 4776/9999, Iter 238780: Loss = 0.009666092693805695, lr = [5e-05] +[2024-05-21 06:13:19,688] - INFO: Epoch 4777/9999, Iter 238800: Loss = 0.016849549487233162, lr = [5e-05] +[2024-05-21 06:13:47,241] - INFO: Epoch 4777/9999, Iter 238820: Loss = 0.015766320750117302, lr = [5e-05] +[2024-05-21 06:14:15,496] - INFO: Epoch 4777/9999, Iter 238840: Loss = 0.010564577765762806, lr = [5e-05] +[2024-05-21 06:14:44,567] - INFO: Epoch 4778/9999, Iter 238860: Loss = 0.012135254219174385, lr = [5e-05] +[2024-05-21 06:15:12,784] - INFO: Epoch 4778/9999, Iter 238880: Loss = 0.013460583053529263, lr = [5e-05] +[2024-05-21 06:15:41,587] - INFO: Epoch 4779/9999, Iter 238900: Loss = 0.01643872633576393, lr = [5e-05] +[2024-05-21 06:16:10,587] - INFO: Epoch 4779/9999, Iter 238920: Loss = 0.015199193730950356, lr = [5e-05] +[2024-05-21 06:16:38,547] - INFO: Epoch 4779/9999, Iter 238940: Loss = 0.017373640090227127, lr = [5e-05] +[2024-05-21 06:17:07,539] - INFO: Epoch 4780/9999, Iter 238960: Loss = 0.016183294355869293, lr = [5e-05] +[2024-05-21 06:17:35,003] - INFO: Epoch 4780/9999, Iter 238980: Loss = 0.012432604096829891, lr = [5e-05] +[2024-05-21 06:18:01,016] - INFO: Evaluate at epoch 4780! +[2024-05-21 06:18:05,136] - INFO: Eval PSNR (max): 38.030 (4700) SSIM (max): 0.9609 (3375) +[2024-05-21 06:18:05,136] - INFO: Eval PSNR (current): 37.993 (4780) SSIM (current): 0.9608 (4780) +[2024-05-21 06:18:05,136] - INFO: Evaluation over. +[2024-05-21 06:18:09,628] - INFO: Epoch 4781/9999, Iter 239000: Loss = 0.013499361462891102, lr = [5e-05] +[2024-05-21 06:18:37,033] - INFO: Epoch 4781/9999, Iter 239020: Loss = 0.008481991477310658, lr = [5e-05] +[2024-05-21 06:19:03,691] - INFO: Epoch 4781/9999, Iter 239040: Loss = 0.01509384997189045, lr = [5e-05] +[2024-05-21 06:19:33,455] - INFO: Epoch 4782/9999, Iter 239060: Loss = 0.012711242772638798, lr = [5e-05] +[2024-05-21 06:20:01,171] - INFO: Epoch 4782/9999, Iter 239080: Loss = 0.017673559486865997, lr = [5e-05] +[2024-05-21 06:20:30,525] - INFO: Epoch 4783/9999, Iter 239100: Loss = 0.012066744267940521, lr = [5e-05] +[2024-05-21 06:20:58,575] - INFO: Epoch 4783/9999, Iter 239120: Loss = 0.01405714638531208, lr = [5e-05] +[2024-05-21 06:21:26,931] - INFO: Epoch 4783/9999, Iter 239140: Loss = 0.014786206185817719, lr = [5e-05] +[2024-05-21 06:21:54,980] - INFO: Epoch 4784/9999, Iter 239160: Loss = 0.013808786869049072, lr = [5e-05] +[2024-05-21 06:22:23,563] - INFO: Epoch 4784/9999, Iter 239180: Loss = 0.01751851849257946, lr = [5e-05] +[2024-05-21 06:22:52,187] - INFO: Epoch 4785/9999, Iter 239200: Loss = 0.017087575048208237, lr = [5e-05] +[2024-05-21 06:23:20,287] - INFO: Epoch 4785/9999, Iter 239220: Loss = 0.012255443260073662, lr = [5e-05] +[2024-05-21 06:23:48,149] - INFO: Epoch 4785/9999, Iter 239240: Loss = 0.014326760545372963, lr = [5e-05] +[2024-05-21 06:24:00,193] - INFO: Evaluate at epoch 4785! +[2024-05-21 06:24:04,315] - INFO: Eval PSNR (max): 38.030 (4700) SSIM (max): 0.9609 (3375) +[2024-05-21 06:24:04,315] - INFO: Eval PSNR (current): 38.010 (4785) SSIM (current): 0.9609 (4785) +[2024-05-21 06:24:04,316] - INFO: Evaluation over. +[2024-05-21 06:24:22,775] - INFO: Epoch 4786/9999, Iter 239260: Loss = 0.009260989725589752, lr = [5e-05] +[2024-05-21 06:24:50,406] - INFO: Epoch 4786/9999, Iter 239280: Loss = 0.021987972781062126, lr = [5e-05] +[2024-05-21 06:25:18,742] - INFO: Epoch 4787/9999, Iter 239300: Loss = 0.016740325838327408, lr = [5e-05] +[2024-05-21 06:25:46,052] - INFO: Epoch 4787/9999, Iter 239320: Loss = 0.01394157949835062, lr = [5e-05] +[2024-05-21 06:26:14,451] - INFO: Epoch 4787/9999, Iter 239340: Loss = 0.009913777932524681, lr = [5e-05] +[2024-05-21 06:26:43,438] - INFO: Epoch 4788/9999, Iter 239360: Loss = 0.01958046853542328, lr = [5e-05] +[2024-05-21 06:27:11,327] - INFO: Epoch 4788/9999, Iter 239380: Loss = 0.007899502292275429, lr = [5e-05] +[2024-05-21 06:27:40,729] - INFO: Epoch 4789/9999, Iter 239400: Loss = 0.008629702031612396, lr = [5e-05] +[2024-05-21 06:28:08,359] - INFO: Epoch 4789/9999, Iter 239420: Loss = 0.008944218046963215, lr = [5e-05] +[2024-05-21 06:28:35,895] - INFO: Epoch 4789/9999, Iter 239440: Loss = 0.018286708742380142, lr = [5e-05] +[2024-05-21 06:29:05,254] - INFO: Epoch 4790/9999, Iter 239460: Loss = 0.010981849394738674, lr = [5e-05] +[2024-05-21 06:29:32,261] - INFO: Epoch 4790/9999, Iter 239480: Loss = 0.010868074372410774, lr = [5e-05] +[2024-05-21 06:29:58,977] - INFO: Evaluate at epoch 4790! +[2024-05-21 06:30:03,082] - INFO: Eval PSNR (max): 38.030 (4700) SSIM (max): 0.9609 (3375) +[2024-05-21 06:30:03,082] - INFO: Eval PSNR (current): 38.006 (4790) SSIM (current): 0.9608 (4790) +[2024-05-21 06:30:03,083] - INFO: Evaluation over. +[2024-05-21 06:30:07,965] - INFO: Epoch 4791/9999, Iter 239500: Loss = 0.011934615671634674, lr = [5e-05] +[2024-05-21 06:30:36,407] - INFO: Epoch 4791/9999, Iter 239520: Loss = 0.006853756960481405, lr = [5e-05] +[2024-05-21 06:31:04,163] - INFO: Epoch 4791/9999, Iter 239540: Loss = 0.009273284114897251, lr = [5e-05] +[2024-05-21 06:31:33,475] - INFO: Epoch 4792/9999, Iter 239560: Loss = 0.015460739843547344, lr = [5e-05] +[2024-05-21 06:32:01,698] - INFO: Epoch 4792/9999, Iter 239580: Loss = 0.011839826591312885, lr = [5e-05] +[2024-05-21 06:32:30,451] - INFO: Epoch 4793/9999, Iter 239600: Loss = 0.017594952136278152, lr = [5e-05] +[2024-05-21 06:32:58,012] - INFO: Epoch 4793/9999, Iter 239620: Loss = 0.009143505245447159, lr = [5e-05] +[2024-05-21 06:33:25,843] - INFO: Epoch 4793/9999, Iter 239640: Loss = 0.010016306303441525, lr = [5e-05] +[2024-05-21 06:33:55,209] - INFO: Epoch 4794/9999, Iter 239660: Loss = 0.010917055420577526, lr = [5e-05] +[2024-05-21 06:34:22,111] - INFO: Epoch 4794/9999, Iter 239680: Loss = 0.010904312133789062, lr = [5e-05] +[2024-05-21 06:34:50,611] - INFO: Epoch 4795/9999, Iter 239700: Loss = 0.009967497549951077, lr = [5e-05] +[2024-05-21 06:35:18,111] - INFO: Epoch 4795/9999, Iter 239720: Loss = 0.010488743893802166, lr = [5e-05] +[2024-05-21 06:35:46,239] - INFO: Epoch 4795/9999, Iter 239740: Loss = 0.009184000082314014, lr = [5e-05] +[2024-05-21 06:35:58,216] - INFO: Evaluate at epoch 4795! +[2024-05-21 06:36:02,329] - INFO: Eval PSNR (max): 38.030 (4700) SSIM (max): 0.9609 (3375) +[2024-05-21 06:36:02,330] - INFO: Eval PSNR (current): 37.977 (4795) SSIM (current): 0.9608 (4795) +[2024-05-21 06:36:02,330] - INFO: Evaluation over. +[2024-05-21 06:36:20,602] - INFO: Epoch 4796/9999, Iter 239760: Loss = 0.017864886671304703, lr = [5e-05] +[2024-05-21 06:36:49,065] - INFO: Epoch 4796/9999, Iter 239780: Loss = 0.009878383949398994, lr = [5e-05] +[2024-05-21 06:37:17,974] - INFO: Epoch 4797/9999, Iter 239800: Loss = 0.016389083117246628, lr = [5e-05] +[2024-05-21 06:37:45,141] - INFO: Epoch 4797/9999, Iter 239820: Loss = 0.01845387928187847, lr = [5e-05] +[2024-05-21 06:38:11,943] - INFO: Epoch 4797/9999, Iter 239840: Loss = 0.016197146847844124, lr = [5e-05] +[2024-05-21 06:38:41,611] - INFO: Epoch 4798/9999, Iter 239860: Loss = 0.011336510069668293, lr = [5e-05] +[2024-05-21 06:39:09,447] - INFO: Epoch 4798/9999, Iter 239880: Loss = 0.011795866303145885, lr = [5e-05] +[2024-05-21 06:39:38,551] - INFO: Epoch 4799/9999, Iter 239900: Loss = 0.015398877672851086, lr = [5e-05] +[2024-05-21 06:40:06,295] - INFO: Epoch 4799/9999, Iter 239920: Loss = 0.011591790243983269, lr = [5e-05] +[2024-05-21 06:40:32,819] - INFO: Epoch 4799/9999, Iter 239940: Loss = 0.013423740863800049, lr = [5e-05] +[2024-05-21 06:41:02,103] - INFO: Epoch 4800/9999, Iter 239960: Loss = 0.01783571019768715, lr = [5e-05] +[2024-05-21 06:41:29,560] - INFO: Epoch 4800/9999, Iter 239980: Loss = 0.007176956627517939, lr = [5e-05] +[2024-05-21 06:41:55,849] - INFO: Evaluate at epoch 4800! +[2024-05-21 06:42:00,052] - INFO: Eval PSNR (max): 38.030 (4700) SSIM (max): 0.9609 (3375) +[2024-05-21 06:42:00,052] - INFO: Eval PSNR (current): 37.950 (4800) SSIM (current): 0.9607 (4800) +[2024-05-21 06:42:00,053] - INFO: Evaluation over. +[2024-05-21 06:42:04,414] - INFO: Epoch 4801/9999, Iter 240000: Loss = 0.01219975110143423, lr = [5e-05] +[2024-05-21 06:42:33,180] - INFO: Epoch 4801/9999, Iter 240020: Loss = 0.016376366838812828, lr = [5e-05] +[2024-05-21 06:43:00,931] - INFO: Epoch 4801/9999, Iter 240040: Loss = 0.008175685070455074, lr = [5e-05] +[2024-05-21 06:43:30,497] - INFO: Epoch 4802/9999, Iter 240060: Loss = 0.017305798828601837, lr = [5e-05] +[2024-05-21 06:43:58,376] - INFO: Epoch 4802/9999, Iter 240080: Loss = 0.01352471299469471, lr = [5e-05] +[2024-05-21 06:44:27,359] - INFO: Epoch 4803/9999, Iter 240100: Loss = 0.00945591926574707, lr = [5e-05] +[2024-05-21 06:44:55,278] - INFO: Epoch 4803/9999, Iter 240120: Loss = 0.013940424658358097, lr = [5e-05] +[2024-05-21 06:45:23,571] - INFO: Epoch 4803/9999, Iter 240140: Loss = 0.005643138196319342, lr = [5e-05] +[2024-05-21 06:45:52,163] - INFO: Epoch 4804/9999, Iter 240160: Loss = 0.012740042991936207, lr = [5e-05] +[2024-05-21 06:46:20,343] - INFO: Epoch 4804/9999, Iter 240180: Loss = 0.014046615920960903, lr = [5e-05] +[2024-05-21 06:46:49,763] - INFO: Epoch 4805/9999, Iter 240200: Loss = 0.013456564396619797, lr = [5e-05] +[2024-05-21 06:47:17,175] - INFO: Epoch 4805/9999, Iter 240220: Loss = 0.011187423951923847, lr = [5e-05] +[2024-05-21 06:47:43,906] - INFO: Epoch 4805/9999, Iter 240240: Loss = 0.01088686939328909, lr = [5e-05] +[2024-05-21 06:47:56,582] - INFO: Evaluate at epoch 4805! +[2024-05-21 06:48:00,787] - INFO: Eval PSNR (max): 38.030 (4700) SSIM (max): 0.9609 (3375) +[2024-05-21 06:48:00,787] - INFO: Eval PSNR (current): 37.996 (4805) SSIM (current): 0.9608 (4805) +[2024-05-21 06:48:00,787] - INFO: Evaluation over. +[2024-05-21 06:48:19,695] - INFO: Epoch 4806/9999, Iter 240260: Loss = 0.014877304434776306, lr = [5e-05] +[2024-05-21 06:48:47,787] - INFO: Epoch 4806/9999, Iter 240280: Loss = 0.01695149950683117, lr = [5e-05] +[2024-05-21 06:49:17,063] - INFO: Epoch 4807/9999, Iter 240300: Loss = 0.016427921131253242, lr = [5e-05] +[2024-05-21 06:49:45,103] - INFO: Epoch 4807/9999, Iter 240320: Loss = 0.014759087935090065, lr = [5e-05] +[2024-05-21 06:50:13,271] - INFO: Epoch 4807/9999, Iter 240340: Loss = 0.013592164032161236, lr = [5e-05] +[2024-05-21 06:50:41,926] - INFO: Epoch 4808/9999, Iter 240360: Loss = 0.01068334374576807, lr = [5e-05] +[2024-05-21 06:51:10,947] - INFO: Epoch 4808/9999, Iter 240380: Loss = 0.014752601273357868, lr = [5e-05] +[2024-05-21 06:51:39,610] - INFO: Epoch 4809/9999, Iter 240400: Loss = 0.013779130764305592, lr = [5e-05] +[2024-05-21 06:52:07,355] - INFO: Epoch 4809/9999, Iter 240420: Loss = 0.013637243770062923, lr = [5e-05] +[2024-05-21 06:52:34,495] - INFO: Epoch 4809/9999, Iter 240440: Loss = 0.012800837866961956, lr = [5e-05] +[2024-05-21 06:53:02,755] - INFO: Epoch 4810/9999, Iter 240460: Loss = 0.011511193588376045, lr = [5e-05] +[2024-05-21 06:53:31,463] - INFO: Epoch 4810/9999, Iter 240480: Loss = 0.011911548674106598, lr = [5e-05] +[2024-05-21 06:53:57,710] - INFO: Evaluate at epoch 4810! +[2024-05-21 06:54:01,840] - INFO: Eval PSNR (max): 38.030 (4700) SSIM (max): 0.9609 (3375) +[2024-05-21 06:54:01,840] - INFO: Eval PSNR (current): 38.010 (4810) SSIM (current): 0.9608 (4810) +[2024-05-21 06:54:01,840] - INFO: Evaluation over. +[2024-05-21 06:54:06,403] - INFO: Epoch 4811/9999, Iter 240500: Loss = 0.00937873125076294, lr = [5e-05] +[2024-05-21 06:54:34,350] - INFO: Epoch 4811/9999, Iter 240520: Loss = 0.019445229321718216, lr = [5e-05] +[2024-05-21 06:55:00,667] - INFO: Epoch 4811/9999, Iter 240540: Loss = 0.013689659535884857, lr = [5e-05] +[2024-05-21 06:55:30,007] - INFO: Epoch 4812/9999, Iter 240560: Loss = 0.019566483795642853, lr = [5e-05] +[2024-05-21 06:55:58,525] - INFO: Epoch 4812/9999, Iter 240580: Loss = 0.01334683783352375, lr = [5e-05] +[2024-05-21 06:56:27,443] - INFO: Epoch 4813/9999, Iter 240600: Loss = 0.012139497324824333, lr = [5e-05] +[2024-05-21 06:56:55,471] - INFO: Epoch 4813/9999, Iter 240620: Loss = 0.015262961387634277, lr = [5e-05] +[2024-05-21 06:57:22,787] - INFO: Epoch 4813/9999, Iter 240640: Loss = 0.01318835373967886, lr = [5e-05] +[2024-05-21 06:57:52,531] - INFO: Epoch 4814/9999, Iter 240660: Loss = 0.014570738188922405, lr = [5e-05] +[2024-05-21 06:58:20,714] - INFO: Epoch 4814/9999, Iter 240680: Loss = 0.013691711239516735, lr = [5e-05] +[2024-05-21 06:58:48,975] - INFO: Epoch 4815/9999, Iter 240700: Loss = 0.014668396674096584, lr = [5e-05] +[2024-05-21 06:59:16,951] - INFO: Epoch 4815/9999, Iter 240720: Loss = 0.010972480289638042, lr = [5e-05] +[2024-05-21 06:59:45,566] - INFO: Epoch 4815/9999, Iter 240740: Loss = 0.0137792294844985, lr = [5e-05] +[2024-05-21 06:59:57,551] - INFO: Evaluate at epoch 4815! +[2024-05-21 07:00:03,535] - INFO: Eval PSNR (max): 38.030 (4700) SSIM (max): 0.9609 (4815) +[2024-05-21 07:00:03,535] - INFO: Eval PSNR (current): 37.996 (4815) SSIM (current): 0.9609 (4815) +[2024-05-21 07:00:03,536] - INFO: Evaluation over. +[2024-05-21 07:00:21,825] - INFO: Epoch 4816/9999, Iter 240760: Loss = 0.009095647372305393, lr = [5e-05] +[2024-05-21 07:00:49,543] - INFO: Epoch 4816/9999, Iter 240780: Loss = 0.015664882957935333, lr = [5e-05] +[2024-05-21 07:01:18,731] - INFO: Epoch 4817/9999, Iter 240800: Loss = 0.014180456288158894, lr = [5e-05] +[2024-05-21 07:01:45,859] - INFO: Epoch 4817/9999, Iter 240820: Loss = 0.013595128431916237, lr = [5e-05] +[2024-05-21 07:02:14,017] - INFO: Epoch 4817/9999, Iter 240840: Loss = 0.013101713731884956, lr = [5e-05] +[2024-05-21 07:02:42,999] - INFO: Epoch 4818/9999, Iter 240860: Loss = 0.017158707603812218, lr = [5e-05] +[2024-05-21 07:03:11,263] - INFO: Epoch 4818/9999, Iter 240880: Loss = 0.012999002821743488, lr = [5e-05] +[2024-05-21 07:03:40,623] - INFO: Epoch 4819/9999, Iter 240900: Loss = 0.01040908694267273, lr = [5e-05] +[2024-05-21 07:04:07,631] - INFO: Epoch 4819/9999, Iter 240920: Loss = 0.014371121302247047, lr = [5e-05] +[2024-05-21 07:04:34,523] - INFO: Epoch 4819/9999, Iter 240940: Loss = 0.011758722364902496, lr = [5e-05] +[2024-05-21 07:05:03,675] - INFO: Epoch 4820/9999, Iter 240960: Loss = 0.008782962337136269, lr = [5e-05] +[2024-05-21 07:05:32,163] - INFO: Epoch 4820/9999, Iter 240980: Loss = 0.008934248238801956, lr = [5e-05] +[2024-05-21 07:05:57,811] - INFO: Evaluate at epoch 4820! +[2024-05-21 07:06:01,918] - INFO: Eval PSNR (max): 38.030 (4700) SSIM (max): 0.9609 (4815) +[2024-05-21 07:06:01,918] - INFO: Eval PSNR (current): 38.002 (4820) SSIM (current): 0.9608 (4820) +[2024-05-21 07:06:01,918] - INFO: Evaluation over. +[2024-05-21 07:06:06,356] - INFO: Epoch 4821/9999, Iter 241000: Loss = 0.01715066470205784, lr = [5e-05] +[2024-05-21 07:06:34,343] - INFO: Epoch 4821/9999, Iter 241020: Loss = 0.01163142267614603, lr = [5e-05] +[2024-05-21 07:07:02,396] - INFO: Epoch 4821/9999, Iter 241040: Loss = 0.019238529726862907, lr = [5e-05] +[2024-05-21 07:07:30,249] - INFO: Epoch 4822/9999, Iter 241060: Loss = 0.010164231061935425, lr = [5e-05] +[2024-05-21 07:07:57,251] - INFO: Epoch 4822/9999, Iter 241080: Loss = 0.011149860918521881, lr = [5e-05] +[2024-05-21 07:08:26,743] - INFO: Epoch 4823/9999, Iter 241100: Loss = 0.009622476994991302, lr = [5e-05] +[2024-05-21 07:08:54,327] - INFO: Epoch 4823/9999, Iter 241120: Loss = 0.011754939332604408, lr = [5e-05] +[2024-05-21 07:09:22,904] - INFO: Epoch 4823/9999, Iter 241140: Loss = 0.019116440787911415, lr = [5e-05] +[2024-05-21 07:09:51,459] - INFO: Epoch 4824/9999, Iter 241160: Loss = 0.00870219524949789, lr = [5e-05] +[2024-05-21 07:10:19,551] - INFO: Epoch 4824/9999, Iter 241180: Loss = 0.013123934157192707, lr = [5e-05] +[2024-05-21 07:10:48,133] - INFO: Epoch 4825/9999, Iter 241200: Loss = 0.015544644556939602, lr = [5e-05] +[2024-05-21 07:11:15,783] - INFO: Epoch 4825/9999, Iter 241220: Loss = 0.009389237500727177, lr = [5e-05] +[2024-05-21 07:11:43,300] - INFO: Epoch 4825/9999, Iter 241240: Loss = 0.01212327927350998, lr = [5e-05] +[2024-05-21 07:11:55,226] - INFO: Evaluate at epoch 4825! +[2024-05-21 07:11:59,329] - INFO: Eval PSNR (max): 38.030 (4700) SSIM (max): 0.9609 (4815) +[2024-05-21 07:11:59,330] - INFO: Eval PSNR (current): 37.938 (4825) SSIM (current): 0.9607 (4825) +[2024-05-21 07:11:59,330] - INFO: Evaluation over. +[2024-05-21 07:12:17,432] - INFO: Epoch 4826/9999, Iter 241260: Loss = 0.013593158684670925, lr = [5e-05] +[2024-05-21 07:12:45,171] - INFO: Epoch 4826/9999, Iter 241280: Loss = 0.0122173260897398, lr = [5e-05] +[2024-05-21 07:13:14,275] - INFO: Epoch 4827/9999, Iter 241300: Loss = 0.010184980928897858, lr = [5e-05] +[2024-05-21 07:13:41,214] - INFO: Epoch 4827/9999, Iter 241320: Loss = 0.011408017948269844, lr = [5e-05] +[2024-05-21 07:14:08,759] - INFO: Epoch 4827/9999, Iter 241340: Loss = 0.013774946331977844, lr = [5e-05] +[2024-05-21 07:14:38,452] - INFO: Epoch 4828/9999, Iter 241360: Loss = 0.01896071806550026, lr = [5e-05] +[2024-05-21 07:15:06,390] - INFO: Epoch 4828/9999, Iter 241380: Loss = 0.007360892370343208, lr = [5e-05] +[2024-05-21 07:15:35,458] - INFO: Epoch 4829/9999, Iter 241400: Loss = 0.018326377496123314, lr = [5e-05] +[2024-05-21 07:16:03,248] - INFO: Epoch 4829/9999, Iter 241420: Loss = 0.015619080513715744, lr = [5e-05] +[2024-05-21 07:16:31,438] - INFO: Epoch 4829/9999, Iter 241440: Loss = 0.013031933456659317, lr = [5e-05] +[2024-05-21 07:17:00,147] - INFO: Epoch 4830/9999, Iter 241460: Loss = 0.015227995812892914, lr = [5e-05] +[2024-05-21 07:17:27,432] - INFO: Epoch 4830/9999, Iter 241480: Loss = 0.01362665370106697, lr = [5e-05] +[2024-05-21 07:17:53,724] - INFO: Evaluate at epoch 4830! +[2024-05-21 07:17:57,857] - INFO: Eval PSNR (max): 38.030 (4700) SSIM (max): 0.9609 (4815) +[2024-05-21 07:17:57,857] - INFO: Eval PSNR (current): 37.993 (4830) SSIM (current): 0.9608 (4830) +[2024-05-21 07:17:57,857] - INFO: Evaluation over. +[2024-05-21 07:18:02,200] - INFO: Epoch 4831/9999, Iter 241500: Loss = 0.011353380046784878, lr = [5e-05] +[2024-05-21 07:18:30,096] - INFO: Epoch 4831/9999, Iter 241520: Loss = 0.010825814679265022, lr = [5e-05] +[2024-05-21 07:18:58,050] - INFO: Epoch 4831/9999, Iter 241540: Loss = 0.016726991161704063, lr = [5e-05] +[2024-05-21 07:19:27,510] - INFO: Epoch 4832/9999, Iter 241560: Loss = 0.016546079888939857, lr = [5e-05] +[2024-05-21 07:19:55,526] - INFO: Epoch 4832/9999, Iter 241580: Loss = 0.013597557321190834, lr = [5e-05] +[2024-05-21 07:20:24,065] - INFO: Epoch 4833/9999, Iter 241600: Loss = 0.01159290038049221, lr = [5e-05] +[2024-05-21 07:20:52,444] - INFO: Epoch 4833/9999, Iter 241620: Loss = 0.012193112634122372, lr = [5e-05] +[2024-05-21 07:21:20,099] - INFO: Epoch 4833/9999, Iter 241640: Loss = 0.008125784806907177, lr = [5e-05] +[2024-05-21 07:21:47,995] - INFO: Epoch 4834/9999, Iter 241660: Loss = 0.010883915238082409, lr = [5e-05] +[2024-05-21 07:22:15,534] - INFO: Epoch 4834/9999, Iter 241680: Loss = 0.01392495445907116, lr = [5e-05] +[2024-05-21 07:22:45,235] - INFO: Epoch 4835/9999, Iter 241700: Loss = 0.01076844334602356, lr = [5e-05] +[2024-05-21 07:23:13,123] - INFO: Epoch 4835/9999, Iter 241720: Loss = 0.01861519366502762, lr = [5e-05] +[2024-05-21 07:23:40,419] - INFO: Epoch 4835/9999, Iter 241740: Loss = 0.014260984025895596, lr = [5e-05] +[2024-05-21 07:23:52,634] - INFO: Evaluate at epoch 4835! +[2024-05-21 07:23:56,850] - INFO: Eval PSNR (max): 38.030 (4700) SSIM (max): 0.9609 (4815) +[2024-05-21 07:23:56,851] - INFO: Eval PSNR (current): 37.926 (4835) SSIM (current): 0.9607 (4835) +[2024-05-21 07:23:56,851] - INFO: Evaluation over. +[2024-05-21 07:24:14,250] - INFO: Epoch 4836/9999, Iter 241760: Loss = 0.012270729057490826, lr = [5e-05] +[2024-05-21 07:24:40,863] - INFO: Epoch 4836/9999, Iter 241780: Loss = 0.012572399340569973, lr = [5e-05] +[2024-05-21 07:25:10,115] - INFO: Epoch 4837/9999, Iter 241800: Loss = 0.018598495051264763, lr = [5e-05] +[2024-05-21 07:25:37,735] - INFO: Epoch 4837/9999, Iter 241820: Loss = 0.011982247233390808, lr = [5e-05] +[2024-05-21 07:26:05,787] - INFO: Epoch 4837/9999, Iter 241840: Loss = 0.014485900290310383, lr = [5e-05] +[2024-05-21 07:26:34,767] - INFO: Epoch 4838/9999, Iter 241860: Loss = 0.008981800638139248, lr = [5e-05] +[2024-05-21 07:27:01,858] - INFO: Epoch 4838/9999, Iter 241880: Loss = 0.012716284953057766, lr = [5e-05] +[2024-05-21 07:27:30,562] - INFO: Epoch 4839/9999, Iter 241900: Loss = 0.011502771638333797, lr = [5e-05] +[2024-05-21 07:27:58,847] - INFO: Epoch 4839/9999, Iter 241920: Loss = 0.010761010460555553, lr = [5e-05] +[2024-05-21 07:28:26,439] - INFO: Epoch 4839/9999, Iter 241940: Loss = 0.013277385383844376, lr = [5e-05] +[2024-05-21 07:28:54,791] - INFO: Epoch 4840/9999, Iter 241960: Loss = 0.018576864153146744, lr = [5e-05] +[2024-05-21 07:29:21,768] - INFO: Epoch 4840/9999, Iter 241980: Loss = 0.013560575433075428, lr = [5e-05] +[2024-05-21 07:29:48,751] - INFO: Evaluate at epoch 4840! +[2024-05-21 07:29:52,916] - INFO: Eval PSNR (max): 38.030 (4700) SSIM (max): 0.9609 (4815) +[2024-05-21 07:29:52,916] - INFO: Eval PSNR (current): 37.957 (4840) SSIM (current): 0.9608 (4840) +[2024-05-21 07:29:52,916] - INFO: Evaluation over. +[2024-05-21 07:29:57,443] - INFO: Epoch 4841/9999, Iter 242000: Loss = 0.011947309598326683, lr = [5e-05] +[2024-05-21 07:30:25,579] - INFO: Epoch 4841/9999, Iter 242020: Loss = 0.01576865464448929, lr = [5e-05] +[2024-05-21 07:30:53,675] - INFO: Epoch 4841/9999, Iter 242040: Loss = 0.010842310264706612, lr = [5e-05] +[2024-05-21 07:31:22,127] - INFO: Epoch 4842/9999, Iter 242060: Loss = 0.021641958504915237, lr = [5e-05] +[2024-05-21 07:31:50,083] - INFO: Epoch 4842/9999, Iter 242080: Loss = 0.011175602674484253, lr = [5e-05] +[2024-05-21 07:32:18,447] - INFO: Epoch 4843/9999, Iter 242100: Loss = 0.01888267695903778, lr = [5e-05] +[2024-05-21 07:32:46,501] - INFO: Epoch 4843/9999, Iter 242120: Loss = 0.01270030252635479, lr = [5e-05] +[2024-05-21 07:33:14,264] - INFO: Epoch 4843/9999, Iter 242140: Loss = 0.012062154710292816, lr = [5e-05] +[2024-05-21 07:33:43,834] - INFO: Epoch 4844/9999, Iter 242160: Loss = 0.010544860735535622, lr = [5e-05] +[2024-05-21 07:34:12,736] - INFO: Epoch 4844/9999, Iter 242180: Loss = 0.015716712921857834, lr = [5e-05] +[2024-05-21 07:34:41,603] - INFO: Epoch 4845/9999, Iter 242200: Loss = 0.014773469418287277, lr = [5e-05] +[2024-05-21 07:35:09,968] - INFO: Epoch 4845/9999, Iter 242220: Loss = 0.016593141481280327, lr = [5e-05] +[2024-05-21 07:35:38,129] - INFO: Epoch 4845/9999, Iter 242240: Loss = 0.01641106605529785, lr = [5e-05] +[2024-05-21 07:35:49,707] - INFO: Evaluate at epoch 4845! +[2024-05-21 07:35:53,889] - INFO: Eval PSNR (max): 38.030 (4700) SSIM (max): 0.9609 (4815) +[2024-05-21 07:35:53,889] - INFO: Eval PSNR (current): 37.984 (4845) SSIM (current): 0.9608 (4845) +[2024-05-21 07:35:53,889] - INFO: Evaluation over. +[2024-05-21 07:36:11,863] - INFO: Epoch 4846/9999, Iter 242260: Loss = 0.013365630060434341, lr = [5e-05] +[2024-05-21 07:36:39,651] - INFO: Epoch 4846/9999, Iter 242280: Loss = 0.012025905773043633, lr = [5e-05] +[2024-05-21 07:37:09,483] - INFO: Epoch 4847/9999, Iter 242300: Loss = 0.012719706632196903, lr = [5e-05] +[2024-05-21 07:37:37,779] - INFO: Epoch 4847/9999, Iter 242320: Loss = 0.018371889367699623, lr = [5e-05] +[2024-05-21 07:38:05,844] - INFO: Epoch 4847/9999, Iter 242340: Loss = 0.011396655812859535, lr = [5e-05] +[2024-05-21 07:38:34,430] - INFO: Epoch 4848/9999, Iter 242360: Loss = 0.014739073812961578, lr = [5e-05] +[2024-05-21 07:39:01,095] - INFO: Epoch 4848/9999, Iter 242380: Loss = 0.011498640291392803, lr = [5e-05] +[2024-05-21 07:39:30,345] - INFO: Epoch 4849/9999, Iter 242400: Loss = 0.014473882503807545, lr = [5e-05] +[2024-05-21 07:39:57,759] - INFO: Epoch 4849/9999, Iter 242420: Loss = 0.010255349799990654, lr = [5e-05] +[2024-05-21 07:40:25,640] - INFO: Epoch 4849/9999, Iter 242440: Loss = 0.013940599747002125, lr = [5e-05] +[2024-05-21 07:40:54,616] - INFO: Epoch 4850/9999, Iter 242460: Loss = 0.0223863385617733, lr = [5e-05] +[2024-05-21 07:41:22,975] - INFO: Epoch 4850/9999, Iter 242480: Loss = 0.011392028070986271, lr = [5e-05] +[2024-05-21 07:41:49,048] - INFO: Evaluate at epoch 4850! +[2024-05-21 07:41:53,163] - INFO: Eval PSNR (max): 38.030 (4700) SSIM (max): 0.9609 (4815) +[2024-05-21 07:41:53,163] - INFO: Eval PSNR (current): 38.003 (4850) SSIM (current): 0.9608 (4850) +[2024-05-21 07:41:53,163] - INFO: Evaluation over. +[2024-05-21 07:41:57,603] - INFO: Epoch 4851/9999, Iter 242500: Loss = 0.013180230744183064, lr = [5e-05] +[2024-05-21 07:42:25,779] - INFO: Epoch 4851/9999, Iter 242520: Loss = 0.009970038197934628, lr = [5e-05] +[2024-05-21 07:42:52,787] - INFO: Epoch 4851/9999, Iter 242540: Loss = 0.011893217451870441, lr = [5e-05] +[2024-05-21 07:43:22,753] - INFO: Epoch 4852/9999, Iter 242560: Loss = 0.008043278940021992, lr = [5e-05] +[2024-05-21 07:43:50,775] - INFO: Epoch 4852/9999, Iter 242580: Loss = 0.014655623584985733, lr = [5e-05] +[2024-05-21 07:44:19,507] - INFO: Epoch 4853/9999, Iter 242600: Loss = 0.007222489453852177, lr = [5e-05] +[2024-05-21 07:44:48,017] - INFO: Epoch 4853/9999, Iter 242620: Loss = 0.01879006437957287, lr = [5e-05] +[2024-05-21 07:45:15,527] - INFO: Epoch 4853/9999, Iter 242640: Loss = 0.014912713319063187, lr = [5e-05] +[2024-05-21 07:45:43,230] - INFO: Epoch 4854/9999, Iter 242660: Loss = 0.011006240732967854, lr = [5e-05] +[2024-05-21 07:46:10,756] - INFO: Epoch 4854/9999, Iter 242680: Loss = 0.009375903755426407, lr = [5e-05] +[2024-05-21 07:46:38,855] - INFO: Epoch 4855/9999, Iter 242700: Loss = 0.013687779195606709, lr = [5e-05] +[2024-05-21 07:47:07,213] - INFO: Epoch 4855/9999, Iter 242720: Loss = 0.008137316443026066, lr = [5e-05] +[2024-05-21 07:47:35,106] - INFO: Epoch 4855/9999, Iter 242740: Loss = 0.016728481277823448, lr = [5e-05] +[2024-05-21 07:47:47,354] - INFO: Evaluate at epoch 4855! +[2024-05-21 07:47:51,467] - INFO: Eval PSNR (max): 38.030 (4700) SSIM (max): 0.9609 (4815) +[2024-05-21 07:47:51,467] - INFO: Eval PSNR (current): 38.003 (4855) SSIM (current): 0.9609 (4855) +[2024-05-21 07:47:51,467] - INFO: Evaluation over. +[2024-05-21 07:48:09,487] - INFO: Epoch 4856/9999, Iter 242760: Loss = 0.015200895257294178, lr = [5e-05] +[2024-05-21 07:48:37,387] - INFO: Epoch 4856/9999, Iter 242780: Loss = 0.011476043611764908, lr = [5e-05] +[2024-05-21 07:49:06,862] - INFO: Epoch 4857/9999, Iter 242800: Loss = 0.01489222515374422, lr = [5e-05] +[2024-05-21 07:49:33,279] - INFO: Epoch 4857/9999, Iter 242820: Loss = 0.013287345878779888, lr = [5e-05] +[2024-05-21 07:50:00,882] - INFO: Epoch 4857/9999, Iter 242840: Loss = 0.011851372197270393, lr = [5e-05] +[2024-05-21 07:50:29,634] - INFO: Epoch 4858/9999, Iter 242860: Loss = 0.01577431708574295, lr = [5e-05] +[2024-05-21 07:50:57,097] - INFO: Epoch 4858/9999, Iter 242880: Loss = 0.010938665829598904, lr = [5e-05] +[2024-05-21 07:51:25,830] - INFO: Epoch 4859/9999, Iter 242900: Loss = 0.011908125132322311, lr = [5e-05] +[2024-05-21 07:51:53,483] - INFO: Epoch 4859/9999, Iter 242920: Loss = 0.010763895697891712, lr = [5e-05] +[2024-05-21 07:52:21,517] - INFO: Epoch 4859/9999, Iter 242940: Loss = 0.014641682617366314, lr = [5e-05] +[2024-05-21 07:52:50,510] - INFO: Epoch 4860/9999, Iter 242960: Loss = 0.011987692676484585, lr = [5e-05] +[2024-05-21 07:53:17,377] - INFO: Epoch 4860/9999, Iter 242980: Loss = 0.0110637117177248, lr = [5e-05] +[2024-05-21 07:53:43,822] - INFO: Evaluate at epoch 4860! +[2024-05-21 07:53:47,934] - INFO: Eval PSNR (max): 38.030 (4700) SSIM (max): 0.9609 (4815) +[2024-05-21 07:53:47,934] - INFO: Eval PSNR (current): 37.994 (4860) SSIM (current): 0.9608 (4860) +[2024-05-21 07:53:47,934] - INFO: Evaluation over. +[2024-05-21 07:53:52,235] - INFO: Epoch 4861/9999, Iter 243000: Loss = 0.013923030346632004, lr = [5e-05] +[2024-05-21 07:54:19,921] - INFO: Epoch 4861/9999, Iter 243020: Loss = 0.015049927867949009, lr = [5e-05] +[2024-05-21 07:54:48,885] - INFO: Epoch 4861/9999, Iter 243040: Loss = 0.012286139652132988, lr = [5e-05] +[2024-05-21 07:55:16,278] - INFO: Epoch 4862/9999, Iter 243060: Loss = 0.010821973904967308, lr = [5e-05] +[2024-05-21 07:55:44,134] - INFO: Epoch 4862/9999, Iter 243080: Loss = 0.01474869903177023, lr = [5e-05] +[2024-05-21 07:56:13,470] - INFO: Epoch 4863/9999, Iter 243100: Loss = 0.012791754677891731, lr = [5e-05] +[2024-05-21 07:56:40,850] - INFO: Epoch 4863/9999, Iter 243120: Loss = 0.016659218817949295, lr = [5e-05] +[2024-05-21 07:57:08,860] - INFO: Epoch 4863/9999, Iter 243140: Loss = 0.016820736229419708, lr = [5e-05] +[2024-05-21 07:57:38,419] - INFO: Epoch 4864/9999, Iter 243160: Loss = 0.016085172072052956, lr = [5e-05] +[2024-05-21 07:58:06,928] - INFO: Epoch 4864/9999, Iter 243180: Loss = 0.015718402341008186, lr = [5e-05] +[2024-05-21 07:58:35,649] - INFO: Epoch 4865/9999, Iter 243200: Loss = 0.008360282517969608, lr = [5e-05] +[2024-05-21 07:59:03,507] - INFO: Epoch 4865/9999, Iter 243220: Loss = 0.012979070656001568, lr = [5e-05] +[2024-05-21 07:59:31,732] - INFO: Epoch 4865/9999, Iter 243240: Loss = 0.013204241171479225, lr = [5e-05] +[2024-05-21 07:59:44,119] - INFO: Evaluate at epoch 4865! +[2024-05-21 07:59:48,274] - INFO: Eval PSNR (max): 38.030 (4700) SSIM (max): 0.9609 (4815) +[2024-05-21 07:59:48,274] - INFO: Eval PSNR (current): 38.008 (4865) SSIM (current): 0.9608 (4865) +[2024-05-21 07:59:48,274] - INFO: Evaluation over. +[2024-05-21 08:00:06,335] - INFO: Epoch 4866/9999, Iter 243260: Loss = 0.013073454611003399, lr = [5e-05] +[2024-05-21 08:00:34,707] - INFO: Epoch 4866/9999, Iter 243280: Loss = 0.007440716493874788, lr = [5e-05] +[2024-05-21 08:01:03,535] - INFO: Epoch 4867/9999, Iter 243300: Loss = 0.015150385908782482, lr = [5e-05] +[2024-05-21 08:01:30,501] - INFO: Epoch 4867/9999, Iter 243320: Loss = 0.019062556326389313, lr = [5e-05] +[2024-05-21 08:01:57,367] - INFO: Epoch 4867/9999, Iter 243340: Loss = 0.014931856654584408, lr = [5e-05] +[2024-05-21 08:02:26,970] - INFO: Epoch 4868/9999, Iter 243360: Loss = 0.00735321082174778, lr = [5e-05] +[2024-05-21 08:02:55,337] - INFO: Epoch 4868/9999, Iter 243380: Loss = 0.012747620232403278, lr = [5e-05] +[2024-05-21 08:03:23,826] - INFO: Epoch 4869/9999, Iter 243400: Loss = 0.009939040057361126, lr = [5e-05] +[2024-05-21 08:03:50,271] - INFO: Epoch 4869/9999, Iter 243420: Loss = 0.009124884381890297, lr = [5e-05] +[2024-05-21 08:04:18,591] - INFO: Epoch 4869/9999, Iter 243440: Loss = 0.009885413572192192, lr = [5e-05] +[2024-05-21 08:04:47,409] - INFO: Epoch 4870/9999, Iter 243460: Loss = 0.009471624158322811, lr = [5e-05] +[2024-05-21 08:05:14,598] - INFO: Epoch 4870/9999, Iter 243480: Loss = 0.01110659446567297, lr = [5e-05] +[2024-05-21 08:05:40,480] - INFO: Evaluate at epoch 4870! +[2024-05-21 08:05:44,593] - INFO: Eval PSNR (max): 38.030 (4700) SSIM (max): 0.9609 (4815) +[2024-05-21 08:05:44,593] - INFO: Eval PSNR (current): 37.992 (4870) SSIM (current): 0.9609 (4870) +[2024-05-21 08:05:44,593] - INFO: Evaluation over. +[2024-05-21 08:05:48,918] - INFO: Epoch 4871/9999, Iter 243500: Loss = 0.015595469623804092, lr = [5e-05] +[2024-05-21 08:06:17,217] - INFO: Epoch 4871/9999, Iter 243520: Loss = 0.010164684616029263, lr = [5e-05] +[2024-05-21 08:06:45,507] - INFO: Epoch 4871/9999, Iter 243540: Loss = 0.012768730521202087, lr = [5e-05] +[2024-05-21 08:07:13,519] - INFO: Epoch 4872/9999, Iter 243560: Loss = 0.008890313096344471, lr = [5e-05] +[2024-05-21 08:07:41,375] - INFO: Epoch 4872/9999, Iter 243580: Loss = 0.0170709528028965, lr = [5e-05] +[2024-05-21 08:08:09,598] - INFO: Epoch 4873/9999, Iter 243600: Loss = 0.012059628963470459, lr = [5e-05] +[2024-05-21 08:08:37,232] - INFO: Epoch 4873/9999, Iter 243620: Loss = 0.01603875495493412, lr = [5e-05] +[2024-05-21 08:09:05,102] - INFO: Epoch 4873/9999, Iter 243640: Loss = 0.011655759066343307, lr = [5e-05] +[2024-05-21 08:09:34,478] - INFO: Epoch 4874/9999, Iter 243660: Loss = 0.011678035371005535, lr = [5e-05] +[2024-05-21 08:10:02,066] - INFO: Epoch 4874/9999, Iter 243680: Loss = 0.009563349187374115, lr = [5e-05] +[2024-05-21 08:10:31,147] - INFO: Epoch 4875/9999, Iter 243700: Loss = 0.013697559013962746, lr = [5e-05] +[2024-05-21 08:10:59,663] - INFO: Epoch 4875/9999, Iter 243720: Loss = 0.011499839834868908, lr = [5e-05] +[2024-05-21 08:11:27,801] - INFO: Epoch 4875/9999, Iter 243740: Loss = 0.010026347823441029, lr = [5e-05] +[2024-05-21 08:11:39,800] - INFO: Evaluate at epoch 4875! +[2024-05-21 08:11:43,952] - INFO: Eval PSNR (max): 38.030 (4700) SSIM (max): 0.9609 (4815) +[2024-05-21 08:11:43,953] - INFO: Eval PSNR (current): 38.003 (4875) SSIM (current): 0.9609 (4875) +[2024-05-21 08:11:43,953] - INFO: Evaluation over. +[2024-05-21 08:12:03,585] - INFO: Epoch 4876/9999, Iter 243760: Loss = 0.010380876250565052, lr = [5e-05] +[2024-05-21 08:12:31,493] - INFO: Epoch 4876/9999, Iter 243780: Loss = 0.014850292354822159, lr = [5e-05] +[2024-05-21 08:13:00,369] - INFO: Epoch 4877/9999, Iter 243800: Loss = 0.018024537712335587, lr = [5e-05] +[2024-05-21 08:13:28,404] - INFO: Epoch 4877/9999, Iter 243820: Loss = 0.011137275956571102, lr = [5e-05] +[2024-05-21 08:13:55,973] - INFO: Epoch 4877/9999, Iter 243840: Loss = 0.00805144477635622, lr = [5e-05] +[2024-05-21 08:14:25,411] - INFO: Epoch 4878/9999, Iter 243860: Loss = 0.011990763247013092, lr = [5e-05] +[2024-05-21 08:14:52,943] - INFO: Epoch 4878/9999, Iter 243880: Loss = 0.01210005022585392, lr = [5e-05] +[2024-05-21 08:15:21,777] - INFO: Epoch 4879/9999, Iter 243900: Loss = 0.010906842537224293, lr = [5e-05] +[2024-05-21 08:15:50,175] - INFO: Epoch 4879/9999, Iter 243920: Loss = 0.014979343861341476, lr = [5e-05] +[2024-05-21 08:16:18,083] - INFO: Epoch 4879/9999, Iter 243940: Loss = 0.014981682412326336, lr = [5e-05] +[2024-05-21 08:16:47,043] - INFO: Epoch 4880/9999, Iter 243960: Loss = 0.010553938336670399, lr = [5e-05] +[2024-05-21 08:17:14,969] - INFO: Epoch 4880/9999, Iter 243980: Loss = 0.014687768183648586, lr = [5e-05] +[2024-05-21 08:17:41,250] - INFO: Evaluate at epoch 4880! +[2024-05-21 08:17:45,360] - INFO: Eval PSNR (max): 38.030 (4700) SSIM (max): 0.9609 (4815) +[2024-05-21 08:17:45,360] - INFO: Eval PSNR (current): 37.938 (4880) SSIM (current): 0.9607 (4880) +[2024-05-21 08:17:45,360] - INFO: Evaluation over. +[2024-05-21 08:17:49,701] - INFO: Epoch 4881/9999, Iter 244000: Loss = 0.009495609439909458, lr = [5e-05] +[2024-05-21 08:18:18,003] - INFO: Epoch 4881/9999, Iter 244020: Loss = 0.012777270749211311, lr = [5e-05] +[2024-05-21 08:18:45,767] - INFO: Epoch 4881/9999, Iter 244040: Loss = 0.014475489035248756, lr = [5e-05] +[2024-05-21 08:19:13,968] - INFO: Epoch 4882/9999, Iter 244060: Loss = 0.012625283561646938, lr = [5e-05] +[2024-05-21 08:19:41,845] - INFO: Epoch 4882/9999, Iter 244080: Loss = 0.016070999205112457, lr = [5e-05] +[2024-05-21 08:20:10,963] - INFO: Epoch 4883/9999, Iter 244100: Loss = 0.010498948395252228, lr = [5e-05] +[2024-05-21 08:20:38,678] - INFO: Epoch 4883/9999, Iter 244120: Loss = 0.012820589356124401, lr = [5e-05] +[2024-05-21 08:21:05,407] - INFO: Epoch 4883/9999, Iter 244140: Loss = 0.010168563574552536, lr = [5e-05] +[2024-05-21 08:21:34,515] - INFO: Epoch 4884/9999, Iter 244160: Loss = 0.019940873607993126, lr = [5e-05] +[2024-05-21 08:22:01,994] - INFO: Epoch 4884/9999, Iter 244180: Loss = 0.020150043070316315, lr = [5e-05] +[2024-05-21 08:22:30,755] - INFO: Epoch 4885/9999, Iter 244200: Loss = 0.014673206955194473, lr = [5e-05] +[2024-05-21 08:22:57,767] - INFO: Epoch 4885/9999, Iter 244220: Loss = 0.01188969612121582, lr = [5e-05] +[2024-05-21 08:23:24,957] - INFO: Epoch 4885/9999, Iter 244240: Loss = 0.015170548111200333, lr = [5e-05] +[2024-05-21 08:23:37,805] - INFO: Evaluate at epoch 4885! +[2024-05-21 08:23:41,909] - INFO: Eval PSNR (max): 38.030 (4700) SSIM (max): 0.9609 (4815) +[2024-05-21 08:23:41,909] - INFO: Eval PSNR (current): 38.006 (4885) SSIM (current): 0.9608 (4885) +[2024-05-21 08:23:41,909] - INFO: Evaluation over. +[2024-05-21 08:23:59,993] - INFO: Epoch 4886/9999, Iter 244260: Loss = 0.010985301807522774, lr = [5e-05] +[2024-05-21 08:24:27,807] - INFO: Epoch 4886/9999, Iter 244280: Loss = 0.009511101990938187, lr = [5e-05] +[2024-05-21 08:24:56,022] - INFO: Epoch 4887/9999, Iter 244300: Loss = 0.009576687589287758, lr = [5e-05] +[2024-05-21 08:25:24,219] - INFO: Epoch 4887/9999, Iter 244320: Loss = 0.01059483177959919, lr = [5e-05] +[2024-05-21 08:25:51,890] - INFO: Epoch 4887/9999, Iter 244340: Loss = 0.01168315764516592, lr = [5e-05] +[2024-05-21 08:26:21,376] - INFO: Epoch 4888/9999, Iter 244360: Loss = 0.01275982428342104, lr = [5e-05] +[2024-05-21 08:26:48,978] - INFO: Epoch 4888/9999, Iter 244380: Loss = 0.015651900321245193, lr = [5e-05] +[2024-05-21 08:27:17,655] - INFO: Epoch 4889/9999, Iter 244400: Loss = 0.00936584360897541, lr = [5e-05] +[2024-05-21 08:27:45,703] - INFO: Epoch 4889/9999, Iter 244420: Loss = 0.016060298308730125, lr = [5e-05] +[2024-05-21 08:28:13,699] - INFO: Epoch 4889/9999, Iter 244440: Loss = 0.013107533566653728, lr = [5e-05] +[2024-05-21 08:28:42,052] - INFO: Epoch 4890/9999, Iter 244460: Loss = 0.011298918165266514, lr = [5e-05] +[2024-05-21 08:29:10,296] - INFO: Epoch 4890/9999, Iter 244480: Loss = 0.016517505049705505, lr = [5e-05] +[2024-05-21 08:29:37,196] - INFO: Evaluate at epoch 4890! +[2024-05-21 08:29:41,457] - INFO: Eval PSNR (max): 38.030 (4700) SSIM (max): 0.9609 (4815) +[2024-05-21 08:29:41,458] - INFO: Eval PSNR (current): 37.978 (4890) SSIM (current): 0.9609 (4890) +[2024-05-21 08:29:41,458] - INFO: Evaluation over. +[2024-05-21 08:29:46,003] - INFO: Epoch 4891/9999, Iter 244500: Loss = 0.013593696057796478, lr = [5e-05] +[2024-05-21 08:30:13,701] - INFO: Epoch 4891/9999, Iter 244520: Loss = 0.01714678667485714, lr = [5e-05] +[2024-05-21 08:30:40,851] - INFO: Epoch 4891/9999, Iter 244540: Loss = 0.008304989896714687, lr = [5e-05] +[2024-05-21 08:31:09,827] - INFO: Epoch 4892/9999, Iter 244560: Loss = 0.009569577872753143, lr = [5e-05] +[2024-05-21 08:31:36,654] - INFO: Epoch 4892/9999, Iter 244580: Loss = 0.00904515665024519, lr = [5e-05] +[2024-05-21 08:32:05,821] - INFO: Epoch 4893/9999, Iter 244600: Loss = 0.011790717951953411, lr = [5e-05] +[2024-05-21 08:32:33,513] - INFO: Epoch 4893/9999, Iter 244620: Loss = 0.01656888984143734, lr = [5e-05] +[2024-05-21 08:33:01,544] - INFO: Epoch 4893/9999, Iter 244640: Loss = 0.0121019771322608, lr = [5e-05] +[2024-05-21 08:33:30,345] - INFO: Epoch 4894/9999, Iter 244660: Loss = 0.01403308566659689, lr = [5e-05] +[2024-05-21 08:33:57,136] - INFO: Epoch 4894/9999, Iter 244680: Loss = 0.010865575633943081, lr = [5e-05] +[2024-05-21 08:34:26,259] - INFO: Epoch 4895/9999, Iter 244700: Loss = 0.014522403478622437, lr = [5e-05] +[2024-05-21 08:34:53,535] - INFO: Epoch 4895/9999, Iter 244720: Loss = 0.01362830214202404, lr = [5e-05] +[2024-05-21 08:35:21,747] - INFO: Epoch 4895/9999, Iter 244740: Loss = 0.010023029521107674, lr = [5e-05] +[2024-05-21 08:35:33,956] - INFO: Evaluate at epoch 4895! +[2024-05-21 08:35:38,307] - INFO: Eval PSNR (max): 38.030 (4700) SSIM (max): 0.9609 (4815) +[2024-05-21 08:35:38,307] - INFO: Eval PSNR (current): 37.913 (4895) SSIM (current): 0.9605 (4895) +[2024-05-21 08:35:38,307] - INFO: Evaluation over. +[2024-05-21 08:35:57,091] - INFO: Epoch 4896/9999, Iter 244760: Loss = 0.011082468554377556, lr = [5e-05] +[2024-05-21 08:36:24,319] - INFO: Epoch 4896/9999, Iter 244780: Loss = 0.010440541431307793, lr = [5e-05] +[2024-05-21 08:36:53,915] - INFO: Epoch 4897/9999, Iter 244800: Loss = 0.010300462134182453, lr = [5e-05] +[2024-05-21 08:37:21,448] - INFO: Epoch 4897/9999, Iter 244820: Loss = 0.014312033541500568, lr = [5e-05] +[2024-05-21 08:37:50,116] - INFO: Epoch 4897/9999, Iter 244840: Loss = 0.015754269436001778, lr = [5e-05] +[2024-05-21 08:38:18,675] - INFO: Epoch 4898/9999, Iter 244860: Loss = 0.013951719738543034, lr = [5e-05] +[2024-05-21 08:38:46,738] - INFO: Epoch 4898/9999, Iter 244880: Loss = 0.01009768433868885, lr = [5e-05] +[2024-05-21 08:39:15,861] - INFO: Epoch 4899/9999, Iter 244900: Loss = 0.013965461403131485, lr = [5e-05] +[2024-05-21 08:39:42,489] - INFO: Epoch 4899/9999, Iter 244920: Loss = 0.01446099579334259, lr = [5e-05] +[2024-05-21 08:40:10,163] - INFO: Epoch 4899/9999, Iter 244940: Loss = 0.00891019869595766, lr = [5e-05] +[2024-05-21 08:40:39,991] - INFO: Epoch 4900/9999, Iter 244960: Loss = 0.014974084682762623, lr = [5e-05] +[2024-05-21 08:41:07,547] - INFO: Epoch 4900/9999, Iter 244980: Loss = 0.010779475793242455, lr = [5e-05] +[2024-05-21 08:41:33,483] - INFO: Evaluate at epoch 4900! +[2024-05-21 08:41:38,278] - INFO: Eval PSNR (max): 38.030 (4700) SSIM (max): 0.9609 (4815) +[2024-05-21 08:41:38,278] - INFO: Eval PSNR (current): 37.983 (4900) SSIM (current): 0.9607 (4900) +[2024-05-21 08:41:38,278] - INFO: Evaluation over. +[2024-05-21 08:41:43,575] - INFO: Epoch 4901/9999, Iter 245000: Loss = 0.011511152610182762, lr = [5e-05] +[2024-05-21 08:42:10,437] - INFO: Epoch 4901/9999, Iter 245020: Loss = 0.011621969752013683, lr = [5e-05] +[2024-05-21 08:42:38,351] - INFO: Epoch 4901/9999, Iter 245040: Loss = 0.009611856192350388, lr = [5e-05] +[2024-05-21 08:43:08,307] - INFO: Epoch 4902/9999, Iter 245060: Loss = 0.016483305022120476, lr = [5e-05] +[2024-05-21 08:43:35,915] - INFO: Epoch 4902/9999, Iter 245080: Loss = 0.013035858049988747, lr = [5e-05] +[2024-05-21 08:44:04,577] - INFO: Epoch 4903/9999, Iter 245100: Loss = 0.012203358113765717, lr = [5e-05] +[2024-05-21 08:44:32,319] - INFO: Epoch 4903/9999, Iter 245120: Loss = 0.009417155757546425, lr = [5e-05] +[2024-05-21 08:45:00,362] - INFO: Epoch 4903/9999, Iter 245140: Loss = 0.01447234209626913, lr = [5e-05] +[2024-05-21 08:45:28,950] - INFO: Epoch 4904/9999, Iter 245160: Loss = 0.02052146941423416, lr = [5e-05] +[2024-05-21 08:45:56,631] - INFO: Epoch 4904/9999, Iter 245180: Loss = 0.01734444871544838, lr = [5e-05] +[2024-05-21 08:46:25,779] - INFO: Epoch 4905/9999, Iter 245200: Loss = 0.012901405803859234, lr = [5e-05] +[2024-05-21 08:46:52,991] - INFO: Epoch 4905/9999, Iter 245220: Loss = 0.011485726572573185, lr = [5e-05] +[2024-05-21 08:47:19,406] - INFO: Epoch 4905/9999, Iter 245240: Loss = 0.015528873540461063, lr = [5e-05] +[2024-05-21 08:47:32,381] - INFO: Evaluate at epoch 4905! +[2024-05-21 08:47:36,669] - INFO: Eval PSNR (max): 38.030 (4700) SSIM (max): 0.9609 (4815) +[2024-05-21 08:47:36,669] - INFO: Eval PSNR (current): 38.006 (4905) SSIM (current): 0.9607 (4905) +[2024-05-21 08:47:36,670] - INFO: Evaluation over. +[2024-05-21 08:47:55,382] - INFO: Epoch 4906/9999, Iter 245260: Loss = 0.01760176196694374, lr = [5e-05] +[2024-05-21 08:48:21,379] - INFO: Epoch 4906/9999, Iter 245280: Loss = 0.01248529925942421, lr = [5e-05] +[2024-05-21 08:48:50,271] - INFO: Epoch 4907/9999, Iter 245300: Loss = 0.010689453221857548, lr = [5e-05] +[2024-05-21 08:49:18,371] - INFO: Epoch 4907/9999, Iter 245320: Loss = 0.01754824072122574, lr = [5e-05] +[2024-05-21 08:49:46,451] - INFO: Epoch 4907/9999, Iter 245340: Loss = 0.01264715101569891, lr = [5e-05] +[2024-05-21 08:50:15,663] - INFO: Epoch 4908/9999, Iter 245360: Loss = 0.010371283628046513, lr = [5e-05] +[2024-05-21 08:50:43,271] - INFO: Epoch 4908/9999, Iter 245380: Loss = 0.014262671582400799, lr = [5e-05] +[2024-05-21 08:51:12,050] - INFO: Epoch 4909/9999, Iter 245400: Loss = 0.00914061814546585, lr = [5e-05] +[2024-05-21 08:51:41,319] - INFO: Epoch 4909/9999, Iter 245420: Loss = 0.017331548035144806, lr = [5e-05] +[2024-05-21 08:52:08,559] - INFO: Epoch 4909/9999, Iter 245440: Loss = 0.01664353907108307, lr = [5e-05] +[2024-05-21 08:52:37,036] - INFO: Epoch 4910/9999, Iter 245460: Loss = 0.015155519358813763, lr = [5e-05] +[2024-05-21 08:53:04,184] - INFO: Epoch 4910/9999, Iter 245480: Loss = 0.019185764715075493, lr = [5e-05] +[2024-05-21 08:53:29,905] - INFO: Evaluate at epoch 4910! +[2024-05-21 08:53:34,082] - INFO: Eval PSNR (max): 38.030 (4700) SSIM (max): 0.9609 (4815) +[2024-05-21 08:53:34,082] - INFO: Eval PSNR (current): 38.008 (4910) SSIM (current): 0.9608 (4910) +[2024-05-21 08:53:34,082] - INFO: Evaluation over. +[2024-05-21 08:53:38,809] - INFO: Epoch 4911/9999, Iter 245500: Loss = 0.011726492084562778, lr = [5e-05] +[2024-05-21 08:54:06,642] - INFO: Epoch 4911/9999, Iter 245520: Loss = 0.01671726070344448, lr = [5e-05] +[2024-05-21 08:54:33,883] - INFO: Epoch 4911/9999, Iter 245540: Loss = 0.012363361194729805, lr = [5e-05] +[2024-05-21 08:55:02,335] - INFO: Epoch 4912/9999, Iter 245560: Loss = 0.011343436315655708, lr = [5e-05] +[2024-05-21 08:55:30,732] - INFO: Epoch 4912/9999, Iter 245580: Loss = 0.007966960780322552, lr = [5e-05] +[2024-05-21 08:56:00,046] - INFO: Epoch 4913/9999, Iter 245600: Loss = 0.010661773383617401, lr = [5e-05] +[2024-05-21 08:56:27,775] - INFO: Epoch 4913/9999, Iter 245620: Loss = 0.011442897841334343, lr = [5e-05] +[2024-05-21 08:56:56,246] - INFO: Epoch 4913/9999, Iter 245640: Loss = 0.011126776225864887, lr = [5e-05] +[2024-05-21 08:57:25,271] - INFO: Epoch 4914/9999, Iter 245660: Loss = 0.014251348562538624, lr = [5e-05] +[2024-05-21 08:57:52,195] - INFO: Epoch 4914/9999, Iter 245680: Loss = 0.010691546835005283, lr = [5e-05] +[2024-05-21 08:58:20,664] - INFO: Epoch 4915/9999, Iter 245700: Loss = 0.01176422368735075, lr = [5e-05] +[2024-05-21 08:58:48,947] - INFO: Epoch 4915/9999, Iter 245720: Loss = 0.010185007937252522, lr = [5e-05] +[2024-05-21 08:59:16,565] - INFO: Epoch 4915/9999, Iter 245740: Loss = 0.011052943766117096, lr = [5e-05] +[2024-05-21 08:59:28,739] - INFO: Evaluate at epoch 4915! +[2024-05-21 08:59:32,837] - INFO: Eval PSNR (max): 38.030 (4700) SSIM (max): 0.9609 (4815) +[2024-05-21 08:59:32,837] - INFO: Eval PSNR (current): 38.010 (4915) SSIM (current): 0.9608 (4915) +[2024-05-21 08:59:32,838] - INFO: Evaluation over. +[2024-05-21 08:59:51,061] - INFO: Epoch 4916/9999, Iter 245760: Loss = 0.015548918396234512, lr = [5e-05] +[2024-05-21 09:00:18,791] - INFO: Epoch 4916/9999, Iter 245780: Loss = 0.011301415972411633, lr = [5e-05] +[2024-05-21 09:00:47,318] - INFO: Epoch 4917/9999, Iter 245800: Loss = 0.01788877509534359, lr = [5e-05] +[2024-05-21 09:01:15,615] - INFO: Epoch 4917/9999, Iter 245820: Loss = 0.014857225120067596, lr = [5e-05] +[2024-05-21 09:01:42,927] - INFO: Epoch 4917/9999, Iter 245840: Loss = 0.011534849181771278, lr = [5e-05] +[2024-05-21 09:02:12,450] - INFO: Epoch 4918/9999, Iter 245860: Loss = 0.012019813060760498, lr = [5e-05] +[2024-05-21 09:02:40,295] - INFO: Epoch 4918/9999, Iter 245880: Loss = 0.01109759695827961, lr = [5e-05] +[2024-05-21 09:03:08,971] - INFO: Epoch 4919/9999, Iter 245900: Loss = 0.015764649957418442, lr = [5e-05] +[2024-05-21 09:03:37,216] - INFO: Epoch 4919/9999, Iter 245920: Loss = 0.015509585849940777, lr = [5e-05] +[2024-05-21 09:04:04,842] - INFO: Epoch 4919/9999, Iter 245940: Loss = 0.014793423935770988, lr = [5e-05] +[2024-05-21 09:04:33,924] - INFO: Epoch 4920/9999, Iter 245960: Loss = 0.013499555177986622, lr = [5e-05] +[2024-05-21 09:05:01,443] - INFO: Epoch 4920/9999, Iter 245980: Loss = 0.015056113712489605, lr = [5e-05] +[2024-05-21 09:05:27,930] - INFO: Evaluate at epoch 4920! +[2024-05-21 09:05:32,055] - INFO: Eval PSNR (max): 38.030 (4700) SSIM (max): 0.9609 (4815) +[2024-05-21 09:05:32,055] - INFO: Eval PSNR (current): 37.966 (4920) SSIM (current): 0.9607 (4920) +[2024-05-21 09:05:32,055] - INFO: Evaluation over. +[2024-05-21 09:05:36,787] - INFO: Epoch 4921/9999, Iter 246000: Loss = 0.013486451469361782, lr = [5e-05] +[2024-05-21 09:06:05,007] - INFO: Epoch 4921/9999, Iter 246020: Loss = 0.014664393849670887, lr = [5e-05] +[2024-05-21 09:06:32,553] - INFO: Epoch 4921/9999, Iter 246040: Loss = 0.013225788250565529, lr = [5e-05] +[2024-05-21 09:07:01,855] - INFO: Epoch 4922/9999, Iter 246060: Loss = 0.008266480639576912, lr = [5e-05] +[2024-05-21 09:07:30,479] - INFO: Epoch 4922/9999, Iter 246080: Loss = 0.011436800472438335, lr = [5e-05] +[2024-05-21 09:07:58,991] - INFO: Epoch 4923/9999, Iter 246100: Loss = 0.01907961443066597, lr = [5e-05] +[2024-05-21 09:08:26,443] - INFO: Epoch 4923/9999, Iter 246120: Loss = 0.010477012023329735, lr = [5e-05] +[2024-05-21 09:08:53,769] - INFO: Epoch 4923/9999, Iter 246140: Loss = 0.017177198082208633, lr = [5e-05] +[2024-05-21 09:09:23,283] - INFO: Epoch 4924/9999, Iter 246160: Loss = 0.011798267252743244, lr = [5e-05] +[2024-05-21 09:09:51,815] - INFO: Epoch 4924/9999, Iter 246180: Loss = 0.013018954545259476, lr = [5e-05] +[2024-05-21 09:10:20,610] - INFO: Epoch 4925/9999, Iter 246200: Loss = 0.01171185914427042, lr = [5e-05] +[2024-05-21 09:10:49,016] - INFO: Epoch 4925/9999, Iter 246220: Loss = 0.01261370163410902, lr = [5e-05] +[2024-05-21 09:11:16,217] - INFO: Epoch 4925/9999, Iter 246240: Loss = 0.015976086258888245, lr = [5e-05] +[2024-05-21 09:11:28,658] - INFO: Evaluate at epoch 4925! +[2024-05-21 09:11:32,791] - INFO: Eval PSNR (max): 38.030 (4700) SSIM (max): 0.9609 (4815) +[2024-05-21 09:11:32,791] - INFO: Eval PSNR (current): 37.977 (4925) SSIM (current): 0.9608 (4925) +[2024-05-21 09:11:32,791] - INFO: Evaluation over. +[2024-05-21 09:11:51,685] - INFO: Epoch 4926/9999, Iter 246260: Loss = 0.01341354101896286, lr = [5e-05] +[2024-05-21 09:12:19,363] - INFO: Epoch 4926/9999, Iter 246280: Loss = 0.012365489266812801, lr = [5e-05] +[2024-05-21 09:12:48,821] - INFO: Epoch 4927/9999, Iter 246300: Loss = 0.009999878704547882, lr = [5e-05] +[2024-05-21 09:13:16,010] - INFO: Epoch 4927/9999, Iter 246320: Loss = 0.007884153164923191, lr = [5e-05] +[2024-05-21 09:13:43,544] - INFO: Epoch 4927/9999, Iter 246340: Loss = 0.013210693374276161, lr = [5e-05] +[2024-05-21 09:14:12,859] - INFO: Epoch 4928/9999, Iter 246360: Loss = 0.013221843168139458, lr = [5e-05] +[2024-05-21 09:14:40,339] - INFO: Epoch 4928/9999, Iter 246380: Loss = 0.00929631944745779, lr = [5e-05] +[2024-05-21 09:15:08,738] - INFO: Epoch 4929/9999, Iter 246400: Loss = 0.017435291782021523, lr = [5e-05] +[2024-05-21 09:15:36,522] - INFO: Epoch 4929/9999, Iter 246420: Loss = 0.015612334944307804, lr = [5e-05] +[2024-05-21 09:16:04,432] - INFO: Epoch 4929/9999, Iter 246440: Loss = 0.008559677749872208, lr = [5e-05] +[2024-05-21 09:16:33,387] - INFO: Epoch 4930/9999, Iter 246460: Loss = 0.013467543758451939, lr = [5e-05] +[2024-05-21 09:17:02,247] - INFO: Epoch 4930/9999, Iter 246480: Loss = 0.014148798771202564, lr = [5e-05] +[2024-05-21 09:17:27,894] - INFO: Evaluate at epoch 4930! +[2024-05-21 09:17:32,322] - INFO: Eval PSNR (max): 38.030 (4700) SSIM (max): 0.9609 (4815) +[2024-05-21 09:17:32,322] - INFO: Eval PSNR (current): 38.019 (4930) SSIM (current): 0.9608 (4930) +[2024-05-21 09:17:32,322] - INFO: Evaluation over. +[2024-05-21 09:17:36,860] - INFO: Epoch 4931/9999, Iter 246500: Loss = 0.01533754263073206, lr = [5e-05] +[2024-05-21 09:18:04,342] - INFO: Epoch 4931/9999, Iter 246520: Loss = 0.013117434456944466, lr = [5e-05] +[2024-05-21 09:18:32,463] - INFO: Epoch 4931/9999, Iter 246540: Loss = 0.011363113299012184, lr = [5e-05] +[2024-05-21 09:19:02,190] - INFO: Epoch 4932/9999, Iter 246560: Loss = 0.009565339423716068, lr = [5e-05] +[2024-05-21 09:19:29,247] - INFO: Epoch 4932/9999, Iter 246580: Loss = 0.012609753757715225, lr = [5e-05] +[2024-05-21 09:19:57,475] - INFO: Epoch 4933/9999, Iter 246600: Loss = 0.009644925594329834, lr = [5e-05] +[2024-05-21 09:20:25,857] - INFO: Epoch 4933/9999, Iter 246620: Loss = 0.016391191631555557, lr = [5e-05] +[2024-05-21 09:20:54,330] - INFO: Epoch 4933/9999, Iter 246640: Loss = 0.016927184537053108, lr = [5e-05] +[2024-05-21 09:21:23,169] - INFO: Epoch 4934/9999, Iter 246660: Loss = 0.014105986803770065, lr = [5e-05] +[2024-05-21 09:21:51,503] - INFO: Epoch 4934/9999, Iter 246680: Loss = 0.00949610210955143, lr = [5e-05] +[2024-05-21 09:22:20,386] - INFO: Epoch 4935/9999, Iter 246700: Loss = 0.013861654326319695, lr = [5e-05] +[2024-05-21 09:22:48,894] - INFO: Epoch 4935/9999, Iter 246720: Loss = 0.016838399693369865, lr = [5e-05] +[2024-05-21 09:23:16,690] - INFO: Epoch 4935/9999, Iter 246740: Loss = 0.008656935766339302, lr = [5e-05] +[2024-05-21 09:23:28,471] - INFO: Evaluate at epoch 4935! +[2024-05-21 09:23:32,576] - INFO: Eval PSNR (max): 38.030 (4700) SSIM (max): 0.9609 (4815) +[2024-05-21 09:23:32,576] - INFO: Eval PSNR (current): 37.995 (4935) SSIM (current): 0.9608 (4935) +[2024-05-21 09:23:32,576] - INFO: Evaluation over. +[2024-05-21 09:23:50,819] - INFO: Epoch 4936/9999, Iter 246760: Loss = 0.013621808961033821, lr = [5e-05] +[2024-05-21 09:24:18,772] - INFO: Epoch 4936/9999, Iter 246780: Loss = 0.01430173683911562, lr = [5e-05] +[2024-05-21 09:24:46,859] - INFO: Epoch 4937/9999, Iter 246800: Loss = 0.011949057690799236, lr = [5e-05] +[2024-05-21 09:25:13,550] - INFO: Epoch 4937/9999, Iter 246820: Loss = 0.015596716664731503, lr = [5e-05] +[2024-05-21 09:25:40,797] - INFO: Epoch 4937/9999, Iter 246840: Loss = 0.01324798446148634, lr = [5e-05] +[2024-05-21 09:26:10,437] - INFO: Epoch 4938/9999, Iter 246860: Loss = 0.012396419420838356, lr = [5e-05] +[2024-05-21 09:26:38,627] - INFO: Epoch 4938/9999, Iter 246880: Loss = 0.01384167093783617, lr = [5e-05] +[2024-05-21 09:27:07,198] - INFO: Epoch 4939/9999, Iter 246900: Loss = 0.008145629428327084, lr = [5e-05] +[2024-05-21 09:27:34,855] - INFO: Epoch 4939/9999, Iter 246920: Loss = 0.012494353577494621, lr = [5e-05] +[2024-05-21 09:28:02,266] - INFO: Epoch 4939/9999, Iter 246940: Loss = 0.0146199781447649, lr = [5e-05] +[2024-05-21 09:28:31,345] - INFO: Epoch 4940/9999, Iter 246960: Loss = 0.011440430767834187, lr = [5e-05] +[2024-05-21 09:28:58,652] - INFO: Epoch 4940/9999, Iter 246980: Loss = 0.014351889491081238, lr = [5e-05] +[2024-05-21 09:29:24,827] - INFO: Evaluate at epoch 4940! +[2024-05-21 09:29:29,031] - INFO: Eval PSNR (max): 38.030 (4700) SSIM (max): 0.9609 (4815) +[2024-05-21 09:29:29,031] - INFO: Eval PSNR (current): 37.985 (4940) SSIM (current): 0.9608 (4940) +[2024-05-21 09:29:29,031] - INFO: Evaluation over. +[2024-05-21 09:29:33,826] - INFO: Epoch 4941/9999, Iter 247000: Loss = 0.008905095979571342, lr = [5e-05] +[2024-05-21 09:30:01,669] - INFO: Epoch 4941/9999, Iter 247020: Loss = 0.018232587724924088, lr = [5e-05] +[2024-05-21 09:30:29,566] - INFO: Epoch 4941/9999, Iter 247040: Loss = 0.013571145012974739, lr = [5e-05] +[2024-05-21 09:30:58,239] - INFO: Epoch 4942/9999, Iter 247060: Loss = 0.010095053352415562, lr = [5e-05] +[2024-05-21 09:31:24,853] - INFO: Epoch 4942/9999, Iter 247080: Loss = 0.01455375924706459, lr = [5e-05] +[2024-05-21 09:31:53,438] - INFO: Epoch 4943/9999, Iter 247100: Loss = 0.0099213607609272, lr = [5e-05] +[2024-05-21 09:32:22,062] - INFO: Epoch 4943/9999, Iter 247120: Loss = 0.015992827713489532, lr = [5e-05] +[2024-05-21 09:32:50,018] - INFO: Epoch 4943/9999, Iter 247140: Loss = 0.013063102029263973, lr = [5e-05] +[2024-05-21 09:33:18,629] - INFO: Epoch 4944/9999, Iter 247160: Loss = 0.01093555148690939, lr = [5e-05] +[2024-05-21 09:33:46,994] - INFO: Epoch 4944/9999, Iter 247180: Loss = 0.007918204180896282, lr = [5e-05] +[2024-05-21 09:34:16,275] - INFO: Epoch 4945/9999, Iter 247200: Loss = 0.01686704158782959, lr = [5e-05] +[2024-05-21 09:34:44,495] - INFO: Epoch 4945/9999, Iter 247220: Loss = 0.012445194646716118, lr = [5e-05] +[2024-05-21 09:35:12,370] - INFO: Epoch 4945/9999, Iter 247240: Loss = 0.013125568628311157, lr = [5e-05] +[2024-05-21 09:35:23,752] - INFO: Evaluate at epoch 4945! +[2024-05-21 09:35:27,964] - INFO: Eval PSNR (max): 38.030 (4700) SSIM (max): 0.9609 (4815) +[2024-05-21 09:35:27,964] - INFO: Eval PSNR (current): 37.953 (4945) SSIM (current): 0.9608 (4945) +[2024-05-21 09:35:27,964] - INFO: Evaluation over. +[2024-05-21 09:35:46,255] - INFO: Epoch 4946/9999, Iter 247260: Loss = 0.010784623213112354, lr = [5e-05] +[2024-05-21 09:36:13,918] - INFO: Epoch 4946/9999, Iter 247280: Loss = 0.015308375470340252, lr = [5e-05] +[2024-05-21 09:36:42,557] - INFO: Epoch 4947/9999, Iter 247300: Loss = 0.014048566110432148, lr = [5e-05] +[2024-05-21 09:37:10,067] - INFO: Epoch 4947/9999, Iter 247320: Loss = 0.013780839741230011, lr = [5e-05] +[2024-05-21 09:37:38,367] - INFO: Epoch 4947/9999, Iter 247340: Loss = 0.014289525337517262, lr = [5e-05] +[2024-05-21 09:38:07,159] - INFO: Epoch 4948/9999, Iter 247360: Loss = 0.011697826907038689, lr = [5e-05] +[2024-05-21 09:38:34,203] - INFO: Epoch 4948/9999, Iter 247380: Loss = 0.008690997026860714, lr = [5e-05] +[2024-05-21 09:39:02,963] - INFO: Epoch 4949/9999, Iter 247400: Loss = 0.01280510239303112, lr = [5e-05] +[2024-05-21 09:39:30,062] - INFO: Epoch 4949/9999, Iter 247420: Loss = 0.007864809595048428, lr = [5e-05] +[2024-05-21 09:39:57,115] - INFO: Epoch 4949/9999, Iter 247440: Loss = 0.009261990897357464, lr = [5e-05] +[2024-05-21 09:40:26,691] - INFO: Epoch 4950/9999, Iter 247460: Loss = 0.015277000144124031, lr = [5e-05] +[2024-05-21 09:40:53,375] - INFO: Epoch 4950/9999, Iter 247480: Loss = 0.009767572395503521, lr = [5e-05] +[2024-05-21 09:41:19,008] - INFO: Evaluate at epoch 4950! +[2024-05-21 09:41:23,105] - INFO: Eval PSNR (max): 38.030 (4700) SSIM (max): 0.9609 (4815) +[2024-05-21 09:41:23,105] - INFO: Eval PSNR (current): 37.855 (4950) SSIM (current): 0.9606 (4950) +[2024-05-21 09:41:23,105] - INFO: Evaluation over. +[2024-05-21 09:41:28,131] - INFO: Epoch 4951/9999, Iter 247500: Loss = 0.015299213118851185, lr = [5e-05] +[2024-05-21 09:41:54,815] - INFO: Epoch 4951/9999, Iter 247520: Loss = 0.012167614884674549, lr = [5e-05] +[2024-05-21 09:42:21,861] - INFO: Epoch 4951/9999, Iter 247540: Loss = 0.011854355223476887, lr = [5e-05] +[2024-05-21 09:42:50,131] - INFO: Epoch 4952/9999, Iter 247560: Loss = 0.012546169571578503, lr = [5e-05] +[2024-05-21 09:43:18,291] - INFO: Epoch 4952/9999, Iter 247580: Loss = 0.014769290573894978, lr = [5e-05] +[2024-05-21 09:43:47,227] - INFO: Epoch 4953/9999, Iter 247600: Loss = 0.00936476793140173, lr = [5e-05] +[2024-05-21 09:44:14,531] - INFO: Epoch 4953/9999, Iter 247620: Loss = 0.012633228674530983, lr = [5e-05] +[2024-05-21 09:44:42,366] - INFO: Epoch 4953/9999, Iter 247640: Loss = 0.012705840170383453, lr = [5e-05] +[2024-05-21 09:45:11,921] - INFO: Epoch 4954/9999, Iter 247660: Loss = 0.014633487910032272, lr = [5e-05] +[2024-05-21 09:45:39,219] - INFO: Epoch 4954/9999, Iter 247680: Loss = 0.009555920027196407, lr = [5e-05] +[2024-05-21 09:46:07,256] - INFO: Epoch 4955/9999, Iter 247700: Loss = 0.012968790717422962, lr = [5e-05] +[2024-05-21 09:46:35,098] - INFO: Epoch 4955/9999, Iter 247720: Loss = 0.009683576412498951, lr = [5e-05] +[2024-05-21 09:47:02,868] - INFO: Epoch 4955/9999, Iter 247740: Loss = 0.010785962454974651, lr = [5e-05] +[2024-05-21 09:47:15,085] - INFO: Evaluate at epoch 4955! +[2024-05-21 09:47:19,183] - INFO: Eval PSNR (max): 38.030 (4700) SSIM (max): 0.9609 (4815) +[2024-05-21 09:47:19,183] - INFO: Eval PSNR (current): 37.984 (4955) SSIM (current): 0.9608 (4955) +[2024-05-21 09:47:19,184] - INFO: Evaluation over. +[2024-05-21 09:47:37,534] - INFO: Epoch 4956/9999, Iter 247760: Loss = 0.01369060855358839, lr = [5e-05] +[2024-05-21 09:48:05,779] - INFO: Epoch 4956/9999, Iter 247780: Loss = 0.016318291425704956, lr = [5e-05] +[2024-05-21 09:48:34,871] - INFO: Epoch 4957/9999, Iter 247800: Loss = 0.009344327263534069, lr = [5e-05] +[2024-05-21 09:49:02,773] - INFO: Epoch 4957/9999, Iter 247820: Loss = 0.016366442665457726, lr = [5e-05] +[2024-05-21 09:49:30,839] - INFO: Epoch 4957/9999, Iter 247840: Loss = 0.011394716799259186, lr = [5e-05] +[2024-05-21 09:50:00,145] - INFO: Epoch 4958/9999, Iter 247860: Loss = 0.016472529619932175, lr = [5e-05] +[2024-05-21 09:50:27,736] - INFO: Epoch 4958/9999, Iter 247880: Loss = 0.014735501259565353, lr = [5e-05] +[2024-05-21 09:50:56,755] - INFO: Epoch 4959/9999, Iter 247900: Loss = 0.011825360357761383, lr = [5e-05] +[2024-05-21 09:51:24,820] - INFO: Epoch 4959/9999, Iter 247920: Loss = 0.009007643908262253, lr = [5e-05] +[2024-05-21 09:51:51,741] - INFO: Epoch 4959/9999, Iter 247940: Loss = 0.011859964579343796, lr = [5e-05] +[2024-05-21 09:52:20,881] - INFO: Epoch 4960/9999, Iter 247960: Loss = 0.015822675079107285, lr = [5e-05] +[2024-05-21 09:52:49,141] - INFO: Epoch 4960/9999, Iter 247980: Loss = 0.011225824244320393, lr = [5e-05] +[2024-05-21 09:53:15,233] - INFO: Evaluate at epoch 4960! +[2024-05-21 09:53:19,489] - INFO: Eval PSNR (max): 38.030 (4700) SSIM (max): 0.9609 (4815) +[2024-05-21 09:53:19,489] - INFO: Eval PSNR (current): 37.994 (4960) SSIM (current): 0.9608 (4960) +[2024-05-21 09:53:19,490] - INFO: Evaluation over. +[2024-05-21 09:53:24,859] - INFO: Epoch 4961/9999, Iter 248000: Loss = 0.013429862447082996, lr = [5e-05] +[2024-05-21 09:53:51,194] - INFO: Epoch 4961/9999, Iter 248020: Loss = 0.010381139814853668, lr = [5e-05] +[2024-05-21 09:54:18,560] - INFO: Epoch 4961/9999, Iter 248040: Loss = 0.014000946655869484, lr = [5e-05] +[2024-05-21 09:54:47,183] - INFO: Epoch 4962/9999, Iter 248060: Loss = 0.011134874075651169, lr = [5e-05] +[2024-05-21 09:55:14,207] - INFO: Epoch 4962/9999, Iter 248080: Loss = 0.014918840490281582, lr = [5e-05] +[2024-05-21 09:55:43,313] - INFO: Epoch 4963/9999, Iter 248100: Loss = 0.01189950481057167, lr = [5e-05] +[2024-05-21 09:56:11,275] - INFO: Epoch 4963/9999, Iter 248120: Loss = 0.015857307240366936, lr = [5e-05] +[2024-05-21 09:56:39,427] - INFO: Epoch 4963/9999, Iter 248140: Loss = 0.012804524041712284, lr = [5e-05] +[2024-05-21 09:57:07,939] - INFO: Epoch 4964/9999, Iter 248160: Loss = 0.015516819432377815, lr = [5e-05] +[2024-05-21 09:57:35,806] - INFO: Epoch 4964/9999, Iter 248180: Loss = 0.022172776982188225, lr = [5e-05] +[2024-05-21 09:58:03,815] - INFO: Epoch 4965/9999, Iter 248200: Loss = 0.009484832175076008, lr = [5e-05] +[2024-05-21 09:58:32,095] - INFO: Epoch 4965/9999, Iter 248220: Loss = 0.014091760851442814, lr = [5e-05] +[2024-05-21 09:59:00,339] - INFO: Epoch 4965/9999, Iter 248240: Loss = 0.01472771167755127, lr = [5e-05] +[2024-05-21 09:59:12,131] - INFO: Evaluate at epoch 4965! +[2024-05-21 09:59:16,371] - INFO: Eval PSNR (max): 38.030 (4700) SSIM (max): 0.9609 (4815) +[2024-05-21 09:59:16,371] - INFO: Eval PSNR (current): 37.987 (4965) SSIM (current): 0.9608 (4965) +[2024-05-21 09:59:16,371] - INFO: Evaluation over. +[2024-05-21 09:59:34,823] - INFO: Epoch 4966/9999, Iter 248260: Loss = 0.012699778191745281, lr = [5e-05] +[2024-05-21 10:00:02,539] - INFO: Epoch 4966/9999, Iter 248280: Loss = 0.016396023333072662, lr = [5e-05] +[2024-05-21 10:00:30,835] - INFO: Epoch 4967/9999, Iter 248300: Loss = 0.01508129108697176, lr = [5e-05] +[2024-05-21 10:00:59,739] - INFO: Epoch 4967/9999, Iter 248320: Loss = 0.01134161464869976, lr = [5e-05] +[2024-05-21 10:01:28,116] - INFO: Epoch 4967/9999, Iter 248340: Loss = 0.020853931084275246, lr = [5e-05] +[2024-05-21 10:01:55,949] - INFO: Epoch 4968/9999, Iter 248360: Loss = 0.01574661396443844, lr = [5e-05] +[2024-05-21 10:02:23,671] - INFO: Epoch 4968/9999, Iter 248380: Loss = 0.013038591481745243, lr = [5e-05] +[2024-05-21 10:02:52,819] - INFO: Epoch 4969/9999, Iter 248400: Loss = 0.012438301928341389, lr = [5e-05] +[2024-05-21 10:03:19,601] - INFO: Epoch 4969/9999, Iter 248420: Loss = 0.020406469702720642, lr = [5e-05] +[2024-05-21 10:03:46,479] - INFO: Epoch 4969/9999, Iter 248440: Loss = 0.013899368233978748, lr = [5e-05] +[2024-05-21 10:04:15,839] - INFO: Epoch 4970/9999, Iter 248460: Loss = 0.010233650915324688, lr = [5e-05] +[2024-05-21 10:04:44,212] - INFO: Epoch 4970/9999, Iter 248480: Loss = 0.01544357929378748, lr = [5e-05] +[2024-05-21 10:05:10,437] - INFO: Evaluate at epoch 4970! +[2024-05-21 10:05:14,686] - INFO: Eval PSNR (max): 38.030 (4700) SSIM (max): 0.9609 (4815) +[2024-05-21 10:05:14,686] - INFO: Eval PSNR (current): 38.007 (4970) SSIM (current): 0.9607 (4970) +[2024-05-21 10:05:14,686] - INFO: Evaluation over. +[2024-05-21 10:05:19,624] - INFO: Epoch 4971/9999, Iter 248500: Loss = 0.012375067919492722, lr = [5e-05] +[2024-05-21 10:05:46,518] - INFO: Epoch 4971/9999, Iter 248520: Loss = 0.013495665974915028, lr = [5e-05] +[2024-05-21 10:06:14,609] - INFO: Epoch 4971/9999, Iter 248540: Loss = 0.014200186356902122, lr = [5e-05] +[2024-05-21 10:06:44,039] - INFO: Epoch 4972/9999, Iter 248560: Loss = 0.012041301466524601, lr = [5e-05] +[2024-05-21 10:07:13,093] - INFO: Epoch 4972/9999, Iter 248580: Loss = 0.014092696830630302, lr = [5e-05] +[2024-05-21 10:07:41,191] - INFO: Epoch 4973/9999, Iter 248600: Loss = 0.017207356169819832, lr = [5e-05] +[2024-05-21 10:08:08,531] - INFO: Epoch 4973/9999, Iter 248620: Loss = 0.008322949521243572, lr = [5e-05] +[2024-05-21 10:08:36,307] - INFO: Epoch 4973/9999, Iter 248640: Loss = 0.010724114254117012, lr = [5e-05] +[2024-05-21 10:09:04,299] - INFO: Epoch 4974/9999, Iter 248660: Loss = 0.008724273182451725, lr = [5e-05] +[2024-05-21 10:09:31,703] - INFO: Epoch 4974/9999, Iter 248680: Loss = 0.018052661791443825, lr = [5e-05] +[2024-05-21 10:10:00,799] - INFO: Epoch 4975/9999, Iter 248700: Loss = 0.009709479287266731, lr = [5e-05] +[2024-05-21 10:10:28,582] - INFO: Epoch 4975/9999, Iter 248720: Loss = 0.011644433252513409, lr = [5e-05] +[2024-05-21 10:10:56,123] - INFO: Epoch 4975/9999, Iter 248740: Loss = 0.016294660046696663, lr = [5e-05] +[2024-05-21 10:11:08,160] - INFO: Evaluate at epoch 4975! +[2024-05-21 10:11:12,559] - INFO: Eval PSNR (max): 38.030 (4700) SSIM (max): 0.9609 (4815) +[2024-05-21 10:11:12,560] - INFO: Eval PSNR (current): 38.019 (4975) SSIM (current): 0.9609 (4975) +[2024-05-21 10:11:12,560] - INFO: Evaluation over. +[2024-05-21 10:11:31,127] - INFO: Epoch 4976/9999, Iter 248760: Loss = 0.018574098125100136, lr = [5e-05] +[2024-05-21 10:11:59,069] - INFO: Epoch 4976/9999, Iter 248780: Loss = 0.009957978501915932, lr = [5e-05] +[2024-05-21 10:12:28,518] - INFO: Epoch 4977/9999, Iter 248800: Loss = 0.011365515179932117, lr = [5e-05] +[2024-05-21 10:12:55,798] - INFO: Epoch 4977/9999, Iter 248820: Loss = 0.01801970787346363, lr = [5e-05] +[2024-05-21 10:13:23,375] - INFO: Epoch 4977/9999, Iter 248840: Loss = 0.015685927122831345, lr = [5e-05] +[2024-05-21 10:13:51,874] - INFO: Epoch 4978/9999, Iter 248860: Loss = 0.010197103023529053, lr = [5e-05] +[2024-05-21 10:14:20,641] - INFO: Epoch 4978/9999, Iter 248880: Loss = 0.010887157171964645, lr = [5e-05] +[2024-05-21 10:14:48,371] - INFO: Epoch 4979/9999, Iter 248900: Loss = 0.01658014953136444, lr = [5e-05] +[2024-05-21 10:15:16,094] - INFO: Epoch 4979/9999, Iter 248920: Loss = 0.013047419488430023, lr = [5e-05] +[2024-05-21 10:15:44,174] - INFO: Epoch 4979/9999, Iter 248940: Loss = 0.012867574580013752, lr = [5e-05] +[2024-05-21 10:16:13,203] - INFO: Epoch 4980/9999, Iter 248960: Loss = 0.012500748969614506, lr = [5e-05] +[2024-05-21 10:16:40,415] - INFO: Epoch 4980/9999, Iter 248980: Loss = 0.0098262382671237, lr = [5e-05] +[2024-05-21 10:17:06,122] - INFO: Evaluate at epoch 4980! +[2024-05-21 10:17:10,272] - INFO: Eval PSNR (max): 38.030 (4700) SSIM (max): 0.9609 (4815) +[2024-05-21 10:17:10,272] - INFO: Eval PSNR (current): 37.978 (4980) SSIM (current): 0.9607 (4980) +[2024-05-21 10:17:10,272] - INFO: Evaluation over. +[2024-05-21 10:17:14,931] - INFO: Epoch 4981/9999, Iter 249000: Loss = 0.008777010254561901, lr = [5e-05] +[2024-05-21 10:17:42,791] - INFO: Epoch 4981/9999, Iter 249020: Loss = 0.009417812339961529, lr = [5e-05] +[2024-05-21 10:18:10,319] - INFO: Epoch 4981/9999, Iter 249040: Loss = 0.011798144318163395, lr = [5e-05] +[2024-05-21 10:18:39,701] - INFO: Epoch 4982/9999, Iter 249060: Loss = 0.01246956642717123, lr = [5e-05] +[2024-05-21 10:19:07,242] - INFO: Epoch 4982/9999, Iter 249080: Loss = 0.010992873460054398, lr = [5e-05] +[2024-05-21 10:19:36,412] - INFO: Epoch 4983/9999, Iter 249100: Loss = 0.019225500524044037, lr = [5e-05] +[2024-05-21 10:20:04,095] - INFO: Epoch 4983/9999, Iter 249120: Loss = 0.007544590625911951, lr = [5e-05] +[2024-05-21 10:20:30,583] - INFO: Epoch 4983/9999, Iter 249140: Loss = 0.013527576811611652, lr = [5e-05] +[2024-05-21 10:21:00,564] - INFO: Epoch 4984/9999, Iter 249160: Loss = 0.01731138862669468, lr = [5e-05] +[2024-05-21 10:21:28,564] - INFO: Epoch 4984/9999, Iter 249180: Loss = 0.012471339665353298, lr = [5e-05] +[2024-05-21 10:21:57,219] - INFO: Epoch 4985/9999, Iter 249200: Loss = 0.01141874585300684, lr = [5e-05] +[2024-05-21 10:22:24,620] - INFO: Epoch 4985/9999, Iter 249220: Loss = 0.013083607889711857, lr = [5e-05] +[2024-05-21 10:22:51,887] - INFO: Epoch 4985/9999, Iter 249240: Loss = 0.01129902619868517, lr = [5e-05] +[2024-05-21 10:23:03,706] - INFO: Evaluate at epoch 4985! +[2024-05-21 10:23:07,945] - INFO: Eval PSNR (max): 38.030 (4700) SSIM (max): 0.9609 (4815) +[2024-05-21 10:23:07,945] - INFO: Eval PSNR (current): 38.014 (4985) SSIM (current): 0.9608 (4985) +[2024-05-21 10:23:07,945] - INFO: Evaluation over. +[2024-05-21 10:23:26,166] - INFO: Epoch 4986/9999, Iter 249260: Loss = 0.012794502079486847, lr = [5e-05] +[2024-05-21 10:23:54,439] - INFO: Epoch 4986/9999, Iter 249280: Loss = 0.012784462422132492, lr = [5e-05] +[2024-05-21 10:24:22,899] - INFO: Epoch 4987/9999, Iter 249300: Loss = 0.011526618152856827, lr = [5e-05] +[2024-05-21 10:24:49,938] - INFO: Epoch 4987/9999, Iter 249320: Loss = 0.008700323291122913, lr = [5e-05] +[2024-05-21 10:25:17,297] - INFO: Epoch 4987/9999, Iter 249340: Loss = 0.014082774519920349, lr = [5e-05] +[2024-05-21 10:25:45,728] - INFO: Epoch 4988/9999, Iter 249360: Loss = 0.011390360072255135, lr = [5e-05] +[2024-05-21 10:26:13,056] - INFO: Epoch 4988/9999, Iter 249380: Loss = 0.007924295961856842, lr = [5e-05] +[2024-05-21 10:26:41,875] - INFO: Epoch 4989/9999, Iter 249400: Loss = 0.012404424138367176, lr = [5e-05] +[2024-05-21 10:27:09,430] - INFO: Epoch 4989/9999, Iter 249420: Loss = 0.01045894529670477, lr = [5e-05] +[2024-05-21 10:27:36,555] - INFO: Epoch 4989/9999, Iter 249440: Loss = 0.010703444480895996, lr = [5e-05] +[2024-05-21 10:28:07,347] - INFO: Epoch 4990/9999, Iter 249460: Loss = 0.013346649706363678, lr = [5e-05] +[2024-05-21 10:28:34,988] - INFO: Epoch 4990/9999, Iter 249480: Loss = 0.015695491805672646, lr = [5e-05] +[2024-05-21 10:29:00,800] - INFO: Evaluate at epoch 4990! +[2024-05-21 10:29:05,006] - INFO: Eval PSNR (max): 38.030 (4700) SSIM (max): 0.9609 (4815) +[2024-05-21 10:29:05,006] - INFO: Eval PSNR (current): 38.024 (4990) SSIM (current): 0.9608 (4990) +[2024-05-21 10:29:05,006] - INFO: Evaluation over. +[2024-05-21 10:29:09,791] - INFO: Epoch 4991/9999, Iter 249500: Loss = 0.014540351927280426, lr = [5e-05] +[2024-05-21 10:29:37,082] - INFO: Epoch 4991/9999, Iter 249520: Loss = 0.01977662928402424, lr = [5e-05] +[2024-05-21 10:30:05,255] - INFO: Epoch 4991/9999, Iter 249540: Loss = 0.012106946669518948, lr = [5e-05] +[2024-05-21 10:30:34,591] - INFO: Epoch 4992/9999, Iter 249560: Loss = 0.014497694559395313, lr = [5e-05] +[2024-05-21 10:31:03,107] - INFO: Epoch 4992/9999, Iter 249580: Loss = 0.01447643619030714, lr = [5e-05] +[2024-05-21 10:31:32,002] - INFO: Epoch 4993/9999, Iter 249600: Loss = 0.018410468474030495, lr = [5e-05] +[2024-05-21 10:32:00,502] - INFO: Epoch 4993/9999, Iter 249620: Loss = 0.010744726285338402, lr = [5e-05] +[2024-05-21 10:32:27,983] - INFO: Epoch 4993/9999, Iter 249640: Loss = 0.009926356375217438, lr = [5e-05] +[2024-05-21 10:32:56,555] - INFO: Epoch 4994/9999, Iter 249660: Loss = 0.009544216096401215, lr = [5e-05] +[2024-05-21 10:33:24,160] - INFO: Epoch 4994/9999, Iter 249680: Loss = 0.008222408592700958, lr = [5e-05] +[2024-05-21 10:33:52,071] - INFO: Epoch 4995/9999, Iter 249700: Loss = 0.017662901431322098, lr = [5e-05] +[2024-05-21 10:34:18,825] - INFO: Epoch 4995/9999, Iter 249720: Loss = 0.014043210074305534, lr = [5e-05] +[2024-05-21 10:34:46,312] - INFO: Epoch 4995/9999, Iter 249740: Loss = 0.01291229110211134, lr = [5e-05] +[2024-05-21 10:34:58,960] - INFO: Evaluate at epoch 4995! +[2024-05-21 10:35:03,049] - INFO: Eval PSNR (max): 38.030 (4700) SSIM (max): 0.9609 (4815) +[2024-05-21 10:35:03,049] - INFO: Eval PSNR (current): 37.980 (4995) SSIM (current): 0.9608 (4995) +[2024-05-21 10:35:03,050] - INFO: Evaluation over. +[2024-05-21 10:35:21,051] - INFO: Epoch 4996/9999, Iter 249760: Loss = 0.010250619612634182, lr = [5e-05] +[2024-05-21 10:35:47,946] - INFO: Epoch 4996/9999, Iter 249780: Loss = 0.010555739514529705, lr = [5e-05] +[2024-05-21 10:36:17,538] - INFO: Epoch 4997/9999, Iter 249800: Loss = 0.014405312016606331, lr = [5e-05] +[2024-05-21 10:36:45,553] - INFO: Epoch 4997/9999, Iter 249820: Loss = 0.00981321930885315, lr = [5e-05] +[2024-05-21 10:37:12,227] - INFO: Epoch 4997/9999, Iter 249840: Loss = 0.013680783100426197, lr = [5e-05] +[2024-05-21 10:37:41,757] - INFO: Epoch 4998/9999, Iter 249860: Loss = 0.01456372905522585, lr = [5e-05] +[2024-05-21 10:38:09,768] - INFO: Epoch 4998/9999, Iter 249880: Loss = 0.014899346977472305, lr = [5e-05] +[2024-05-21 10:38:38,151] - INFO: Epoch 4999/9999, Iter 249900: Loss = 0.01388608105480671, lr = [5e-05] +[2024-05-21 10:39:06,195] - INFO: Epoch 4999/9999, Iter 249920: Loss = 0.009209925308823586, lr = [5e-05] +[2024-05-21 10:39:33,767] - INFO: Epoch 4999/9999, Iter 249940: Loss = 0.01311927568167448, lr = [5e-05] +[2024-05-21 10:40:03,535] - INFO: Epoch 5000/9999, Iter 249960: Loss = 0.012346775270998478, lr = [5e-05] +[2024-05-21 10:40:31,242] - INFO: Epoch 5000/9999, Iter 249980: Loss = 0.013112709857523441, lr = [5e-05] +[2024-05-21 10:40:56,964] - INFO: Evaluate at epoch 5000! +[2024-05-21 10:41:01,059] - INFO: Eval PSNR (max): 38.030 (4700) SSIM (max): 0.9609 (4815) +[2024-05-21 10:41:01,059] - INFO: Eval PSNR (current): 37.976 (5000) SSIM (current): 0.9607 (5000) +[2024-05-21 10:41:01,059] - INFO: Evaluation over. +[2024-05-21 10:41:05,475] - INFO: Epoch 5001/9999, Iter 250000: Loss = 0.01591685228049755, lr = [5e-05] +[2024-05-21 10:41:34,015] - INFO: Epoch 5001/9999, Iter 250020: Loss = 0.015234428457915783, lr = [5e-05] +[2024-05-21 10:41:59,991] - INFO: Epoch 5001/9999, Iter 250040: Loss = 0.012638394720852375, lr = [5e-05] +[2024-05-21 10:42:29,281] - INFO: Epoch 5002/9999, Iter 250060: Loss = 0.016183657571673393, lr = [5e-05] +[2024-05-21 10:42:56,671] - INFO: Epoch 5002/9999, Iter 250080: Loss = 0.013162432238459587, lr = [5e-05] +[2024-05-21 10:43:25,455] - INFO: Epoch 5003/9999, Iter 250100: Loss = 0.013741807080805302, lr = [5e-05] +[2024-05-21 10:43:53,611] - INFO: Epoch 5003/9999, Iter 250120: Loss = 0.01253298856317997, lr = [5e-05] +[2024-05-21 10:44:21,256] - INFO: Epoch 5003/9999, Iter 250140: Loss = 0.011140366084873676, lr = [5e-05] +[2024-05-21 10:44:49,778] - INFO: Epoch 5004/9999, Iter 250160: Loss = 0.015173043124377728, lr = [5e-05] +[2024-05-21 10:45:16,783] - INFO: Epoch 5004/9999, Iter 250180: Loss = 0.014114415273070335, lr = [5e-05] +[2024-05-21 10:45:46,179] - INFO: Epoch 5005/9999, Iter 250200: Loss = 0.016481461003422737, lr = [5e-05] +[2024-05-21 10:46:13,607] - INFO: Epoch 5005/9999, Iter 250220: Loss = 0.010571560822427273, lr = [5e-05] +[2024-05-21 10:46:40,819] - INFO: Epoch 5005/9999, Iter 250240: Loss = 0.00742409098893404, lr = [5e-05] +[2024-05-21 10:46:52,975] - INFO: Evaluate at epoch 5005! +[2024-05-21 10:46:57,091] - INFO: Eval PSNR (max): 38.030 (4700) SSIM (max): 0.9609 (4815) +[2024-05-21 10:46:57,091] - INFO: Eval PSNR (current): 37.968 (5005) SSIM (current): 0.9609 (5005) +[2024-05-21 10:46:57,091] - INFO: Evaluation over. +[2024-05-21 10:47:14,686] - INFO: Epoch 5006/9999, Iter 250260: Loss = 0.012855762615799904, lr = [5e-05] +[2024-05-21 10:47:42,495] - INFO: Epoch 5006/9999, Iter 250280: Loss = 0.011473570019006729, lr = [5e-05] +[2024-05-21 10:48:11,526] - INFO: Epoch 5007/9999, Iter 250300: Loss = 0.013493211939930916, lr = [5e-05] +[2024-05-21 10:48:39,142] - INFO: Epoch 5007/9999, Iter 250320: Loss = 0.010495073162019253, lr = [5e-05] +[2024-05-21 10:49:06,134] - INFO: Epoch 5007/9999, Iter 250340: Loss = 0.02331744134426117, lr = [5e-05] +[2024-05-21 10:49:34,479] - INFO: Epoch 5008/9999, Iter 250360: Loss = 0.016401750966906548, lr = [5e-05] +[2024-05-21 10:50:02,369] - INFO: Epoch 5008/9999, Iter 250380: Loss = 0.018113503232598305, lr = [5e-05] +[2024-05-21 10:50:30,650] - INFO: Epoch 5009/9999, Iter 250400: Loss = 0.015360001474618912, lr = [5e-05] +[2024-05-21 10:50:59,091] - INFO: Epoch 5009/9999, Iter 250420: Loss = 0.010159337893128395, lr = [5e-05] +[2024-05-21 10:51:27,171] - INFO: Epoch 5009/9999, Iter 250440: Loss = 0.015844931825995445, lr = [5e-05] +[2024-05-21 10:51:55,387] - INFO: Epoch 5010/9999, Iter 250460: Loss = 0.007696589920669794, lr = [5e-05] +[2024-05-21 10:52:23,334] - INFO: Epoch 5010/9999, Iter 250480: Loss = 0.012165707536041737, lr = [5e-05] +[2024-05-21 10:52:49,596] - INFO: Evaluate at epoch 5010! +[2024-05-21 10:52:53,753] - INFO: Eval PSNR (max): 38.030 (4700) SSIM (max): 0.9609 (4815) +[2024-05-21 10:52:53,753] - INFO: Eval PSNR (current): 37.979 (5010) SSIM (current): 0.9608 (5010) +[2024-05-21 10:52:53,754] - INFO: Evaluation over. +[2024-05-21 10:52:59,715] - INFO: Epoch 5011/9999, Iter 250500: Loss = 0.00912557914853096, lr = [5e-05] +[2024-05-21 10:53:27,541] - INFO: Epoch 5011/9999, Iter 250520: Loss = 0.008755886927247047, lr = [5e-05] +[2024-05-21 10:53:56,170] - INFO: Epoch 5011/9999, Iter 250540: Loss = 0.010333376936614513, lr = [5e-05] +[2024-05-21 10:54:24,399] - INFO: Epoch 5012/9999, Iter 250560: Loss = 0.019499871879816055, lr = [5e-05] +[2024-05-21 10:54:53,256] - INFO: Epoch 5012/9999, Iter 250580: Loss = 0.012069743126630783, lr = [5e-05] +[2024-05-21 10:55:22,092] - INFO: Epoch 5013/9999, Iter 250600: Loss = 0.012338781729340553, lr = [5e-05] +[2024-05-21 10:55:51,193] - INFO: Epoch 5013/9999, Iter 250620: Loss = 0.00840991735458374, lr = [5e-05] +[2024-05-21 10:56:18,211] - INFO: Epoch 5013/9999, Iter 250640: Loss = 0.010479561984539032, lr = [5e-05] +[2024-05-21 10:56:47,187] - INFO: Epoch 5014/9999, Iter 250660: Loss = 0.016838671639561653, lr = [5e-05] +[2024-05-21 10:57:15,623] - INFO: Epoch 5014/9999, Iter 250680: Loss = 0.014057879336178303, lr = [5e-05] +[2024-05-21 10:57:44,155] - INFO: Epoch 5015/9999, Iter 250700: Loss = 0.010511470027267933, lr = [5e-05] +[2024-05-21 10:58:11,287] - INFO: Epoch 5015/9999, Iter 250720: Loss = 0.013882691971957684, lr = [5e-05] +[2024-05-21 10:58:39,187] - INFO: Epoch 5015/9999, Iter 250740: Loss = 0.01071742083877325, lr = [5e-05] +[2024-05-21 10:58:51,715] - INFO: Evaluate at epoch 5015! +[2024-05-21 10:58:55,859] - INFO: Eval PSNR (max): 38.030 (4700) SSIM (max): 0.9609 (4815) +[2024-05-21 10:58:55,859] - INFO: Eval PSNR (current): 37.995 (5015) SSIM (current): 0.9608 (5015) +[2024-05-21 10:58:55,859] - INFO: Evaluation over. +[2024-05-21 10:59:14,279] - INFO: Epoch 5016/9999, Iter 250760: Loss = 0.013020021840929985, lr = [5e-05] +[2024-05-21 10:59:41,012] - INFO: Epoch 5016/9999, Iter 250780: Loss = 0.014304772950708866, lr = [5e-05] +[2024-05-21 11:00:09,523] - INFO: Epoch 5017/9999, Iter 250800: Loss = 0.005125871393829584, lr = [5e-05] +[2024-05-21 11:00:38,163] - INFO: Epoch 5017/9999, Iter 250820: Loss = 0.012383677065372467, lr = [5e-05] +[2024-05-21 11:01:05,823] - INFO: Epoch 5017/9999, Iter 250840: Loss = 0.016875917091965675, lr = [5e-05] +[2024-05-21 11:01:35,031] - INFO: Epoch 5018/9999, Iter 250860: Loss = 0.011856256052851677, lr = [5e-05] +[2024-05-21 11:02:02,579] - INFO: Epoch 5018/9999, Iter 250880: Loss = 0.012195105664432049, lr = [5e-05] +[2024-05-21 11:02:31,083] - INFO: Epoch 5019/9999, Iter 250900: Loss = 0.014053607359528542, lr = [5e-05] +[2024-05-21 11:02:58,407] - INFO: Epoch 5019/9999, Iter 250920: Loss = 0.008541939780116081, lr = [5e-05] +[2024-05-21 11:03:26,051] - INFO: Epoch 5019/9999, Iter 250940: Loss = 0.011840401217341423, lr = [5e-05] +[2024-05-21 11:03:56,147] - INFO: Epoch 5020/9999, Iter 250960: Loss = 0.010804054327309132, lr = [5e-05] +[2024-05-21 11:04:23,507] - INFO: Epoch 5020/9999, Iter 250980: Loss = 0.00954682007431984, lr = [5e-05] +[2024-05-21 11:04:49,514] - INFO: Evaluate at epoch 5020! +[2024-05-21 11:04:53,904] - INFO: Eval PSNR (max): 38.030 (4700) SSIM (max): 0.9609 (4815) +[2024-05-21 11:04:53,904] - INFO: Eval PSNR (current): 37.951 (5020) SSIM (current): 0.9608 (5020) +[2024-05-21 11:04:53,904] - INFO: Evaluation over. +[2024-05-21 11:04:59,235] - INFO: Epoch 5021/9999, Iter 251000: Loss = 0.017969617620110512, lr = [5e-05] +[2024-05-21 11:05:26,763] - INFO: Epoch 5021/9999, Iter 251020: Loss = 0.012523655779659748, lr = [5e-05] +[2024-05-21 11:05:55,237] - INFO: Epoch 5021/9999, Iter 251040: Loss = 0.0129303690046072, lr = [5e-05] +[2024-05-21 11:06:23,588] - INFO: Epoch 5022/9999, Iter 251060: Loss = 0.010439740493893623, lr = [5e-05] +[2024-05-21 11:06:49,943] - INFO: Epoch 5022/9999, Iter 251080: Loss = 0.017011282965540886, lr = [5e-05] +[2024-05-21 11:07:19,275] - INFO: Epoch 5023/9999, Iter 251100: Loss = 0.012551811523735523, lr = [5e-05] +[2024-05-21 11:07:48,139] - INFO: Epoch 5023/9999, Iter 251120: Loss = 0.009022888727486134, lr = [5e-05] +[2024-05-21 11:08:14,783] - INFO: Epoch 5023/9999, Iter 251140: Loss = 0.014624224975705147, lr = [5e-05] +[2024-05-21 11:08:43,388] - INFO: Epoch 5024/9999, Iter 251160: Loss = 0.017241401597857475, lr = [5e-05] +[2024-05-21 11:09:11,923] - INFO: Epoch 5024/9999, Iter 251180: Loss = 0.017625853419303894, lr = [5e-05] +[2024-05-21 11:09:40,411] - INFO: Epoch 5025/9999, Iter 251200: Loss = 0.010831422172486782, lr = [5e-05] +[2024-05-21 11:10:08,362] - INFO: Epoch 5025/9999, Iter 251220: Loss = 0.014439798891544342, lr = [5e-05] +[2024-05-21 11:10:35,983] - INFO: Epoch 5025/9999, Iter 251240: Loss = 0.015132344327867031, lr = [5e-05] +[2024-05-21 11:10:47,814] - INFO: Evaluate at epoch 5025! +[2024-05-21 11:10:51,962] - INFO: Eval PSNR (max): 38.030 (4700) SSIM (max): 0.9609 (4815) +[2024-05-21 11:10:51,963] - INFO: Eval PSNR (current): 37.987 (5025) SSIM (current): 0.9608 (5025) +[2024-05-21 11:10:51,963] - INFO: Evaluation over. +[2024-05-21 11:11:10,738] - INFO: Epoch 5026/9999, Iter 251260: Loss = 0.014326062984764576, lr = [5e-05] +[2024-05-21 11:11:39,065] - INFO: Epoch 5026/9999, Iter 251280: Loss = 0.010734065435826778, lr = [5e-05] +[2024-05-21 11:12:08,035] - INFO: Epoch 5027/9999, Iter 251300: Loss = 0.015087180770933628, lr = [5e-05] +[2024-05-21 11:12:36,549] - INFO: Epoch 5027/9999, Iter 251320: Loss = 0.015026886947453022, lr = [5e-05] +[2024-05-21 11:13:03,936] - INFO: Epoch 5027/9999, Iter 251340: Loss = 0.01624167338013649, lr = [5e-05] +[2024-05-21 11:13:32,401] - INFO: Epoch 5028/9999, Iter 251360: Loss = 0.013073534704744816, lr = [5e-05] +[2024-05-21 11:13:59,851] - INFO: Epoch 5028/9999, Iter 251380: Loss = 0.01726296916604042, lr = [5e-05] +[2024-05-21 11:14:28,531] - INFO: Epoch 5029/9999, Iter 251400: Loss = 0.013846099376678467, lr = [5e-05] +[2024-05-21 11:14:56,959] - INFO: Epoch 5029/9999, Iter 251420: Loss = 0.018117668107151985, lr = [5e-05] +[2024-05-21 11:15:24,247] - INFO: Epoch 5029/9999, Iter 251440: Loss = 0.011564387939870358, lr = [5e-05] +[2024-05-21 11:15:52,838] - INFO: Epoch 5030/9999, Iter 251460: Loss = 0.013221893459558487, lr = [5e-05] +[2024-05-21 11:16:20,635] - INFO: Epoch 5030/9999, Iter 251480: Loss = 0.010538498871028423, lr = [5e-05] +[2024-05-21 11:16:47,197] - INFO: Evaluate at epoch 5030! +[2024-05-21 11:16:51,293] - INFO: Eval PSNR (max): 38.030 (4700) SSIM (max): 0.9609 (4815) +[2024-05-21 11:16:51,293] - INFO: Eval PSNR (current): 37.992 (5030) SSIM (current): 0.9609 (5030) +[2024-05-21 11:16:51,293] - INFO: Evaluation over. +[2024-05-21 11:16:56,659] - INFO: Epoch 5031/9999, Iter 251500: Loss = 0.018826231360435486, lr = [5e-05] +[2024-05-21 11:17:24,951] - INFO: Epoch 5031/9999, Iter 251520: Loss = 0.010426370427012444, lr = [5e-05] +[2024-05-21 11:17:52,987] - INFO: Epoch 5031/9999, Iter 251540: Loss = 0.007289571221917868, lr = [5e-05] +[2024-05-21 11:18:22,295] - INFO: Epoch 5032/9999, Iter 251560: Loss = 0.009203890338540077, lr = [5e-05] +[2024-05-21 11:18:49,277] - INFO: Epoch 5032/9999, Iter 251580: Loss = 0.01275397464632988, lr = [5e-05] +[2024-05-21 11:19:18,699] - INFO: Epoch 5033/9999, Iter 251600: Loss = 0.01305289939045906, lr = [5e-05] +[2024-05-21 11:19:46,400] - INFO: Epoch 5033/9999, Iter 251620: Loss = 0.01533686276525259, lr = [5e-05] +[2024-05-21 11:20:13,611] - INFO: Epoch 5033/9999, Iter 251640: Loss = 0.014078379608690739, lr = [5e-05] +[2024-05-21 11:20:41,733] - INFO: Epoch 5034/9999, Iter 251660: Loss = 0.008169415406882763, lr = [5e-05] +[2024-05-21 11:21:08,766] - INFO: Epoch 5034/9999, Iter 251680: Loss = 0.014908496290445328, lr = [5e-05] +[2024-05-21 11:21:37,975] - INFO: Epoch 5035/9999, Iter 251700: Loss = 0.012556171044707298, lr = [5e-05] +[2024-05-21 11:22:04,865] - INFO: Epoch 5035/9999, Iter 251720: Loss = 0.0174294151365757, lr = [5e-05] +[2024-05-21 11:22:32,255] - INFO: Epoch 5035/9999, Iter 251740: Loss = 0.014598230831325054, lr = [5e-05] +[2024-05-21 11:22:45,000] - INFO: Evaluate at epoch 5035! +[2024-05-21 11:22:49,122] - INFO: Eval PSNR (max): 38.030 (4700) SSIM (max): 0.9609 (4815) +[2024-05-21 11:22:49,122] - INFO: Eval PSNR (current): 38.012 (5035) SSIM (current): 0.9607 (5035) +[2024-05-21 11:22:49,122] - INFO: Evaluation over. +[2024-05-21 11:23:07,549] - INFO: Epoch 5036/9999, Iter 251760: Loss = 0.011388121172785759, lr = [5e-05] +[2024-05-21 11:23:35,204] - INFO: Epoch 5036/9999, Iter 251780: Loss = 0.014833812601864338, lr = [5e-05] +[2024-05-21 11:24:04,242] - INFO: Epoch 5037/9999, Iter 251800: Loss = 0.013740354217588902, lr = [5e-05] +[2024-05-21 11:24:32,190] - INFO: Epoch 5037/9999, Iter 251820: Loss = 0.00846992339938879, lr = [5e-05] +[2024-05-21 11:25:00,401] - INFO: Epoch 5037/9999, Iter 251840: Loss = 0.010431510396301746, lr = [5e-05] +[2024-05-21 11:25:28,315] - INFO: Epoch 5038/9999, Iter 251860: Loss = 0.011222482658922672, lr = [5e-05] +[2024-05-21 11:25:55,507] - INFO: Epoch 5038/9999, Iter 251880: Loss = 0.013132357969880104, lr = [5e-05] +[2024-05-21 11:26:24,391] - INFO: Epoch 5039/9999, Iter 251900: Loss = 0.01178011018782854, lr = [5e-05] +[2024-05-21 11:26:52,835] - INFO: Epoch 5039/9999, Iter 251920: Loss = 0.014469175599515438, lr = [5e-05] +[2024-05-21 11:27:20,768] - INFO: Epoch 5039/9999, Iter 251940: Loss = 0.015198762528598309, lr = [5e-05] +[2024-05-21 11:27:48,739] - INFO: Epoch 5040/9999, Iter 251960: Loss = 0.010311049409210682, lr = [5e-05] +[2024-05-21 11:28:15,472] - INFO: Epoch 5040/9999, Iter 251980: Loss = 0.013109653256833553, lr = [5e-05] +[2024-05-21 11:28:42,520] - INFO: Evaluate at epoch 5040! +[2024-05-21 11:28:46,617] - INFO: Eval PSNR (max): 38.030 (4700) SSIM (max): 0.9609 (4815) +[2024-05-21 11:28:46,618] - INFO: Eval PSNR (current): 37.999 (5040) SSIM (current): 0.9609 (5040) +[2024-05-21 11:28:46,618] - INFO: Evaluation over. +[2024-05-21 11:28:51,211] - INFO: Epoch 5041/9999, Iter 252000: Loss = 0.012408804148435593, lr = [5e-05] +[2024-05-21 11:29:19,439] - INFO: Epoch 5041/9999, Iter 252020: Loss = 0.013341732323169708, lr = [5e-05] +[2024-05-21 11:29:46,630] - INFO: Epoch 5041/9999, Iter 252040: Loss = 0.01331652794033289, lr = [5e-05] +[2024-05-21 11:30:15,609] - INFO: Epoch 5042/9999, Iter 252060: Loss = 0.009883224964141846, lr = [5e-05] +[2024-05-21 11:30:42,513] - INFO: Epoch 5042/9999, Iter 252080: Loss = 0.015881499275565147, lr = [5e-05] +[2024-05-21 11:31:11,919] - INFO: Epoch 5043/9999, Iter 252100: Loss = 0.011336677707731724, lr = [5e-05] +[2024-05-21 11:31:39,711] - INFO: Epoch 5043/9999, Iter 252120: Loss = 0.019299807026982307, lr = [5e-05] +[2024-05-21 11:32:07,445] - INFO: Epoch 5043/9999, Iter 252140: Loss = 0.014301878400146961, lr = [5e-05] +[2024-05-21 11:32:36,298] - INFO: Epoch 5044/9999, Iter 252160: Loss = 0.017459170892834663, lr = [5e-05] +[2024-05-21 11:33:04,379] - INFO: Epoch 5044/9999, Iter 252180: Loss = 0.012465756386518478, lr = [5e-05] +[2024-05-21 11:33:33,511] - INFO: Epoch 5045/9999, Iter 252200: Loss = 0.01213839091360569, lr = [5e-05] +[2024-05-21 11:34:00,755] - INFO: Epoch 5045/9999, Iter 252220: Loss = 0.009841902181506157, lr = [5e-05] +[2024-05-21 11:34:28,196] - INFO: Epoch 5045/9999, Iter 252240: Loss = 0.017718175426125526, lr = [5e-05] +[2024-05-21 11:34:40,312] - INFO: Evaluate at epoch 5045! +[2024-05-21 11:34:44,407] - INFO: Eval PSNR (max): 38.030 (4700) SSIM (max): 0.9609 (4815) +[2024-05-21 11:34:44,407] - INFO: Eval PSNR (current): 37.983 (5045) SSIM (current): 0.9608 (5045) +[2024-05-21 11:34:44,408] - INFO: Evaluation over. +[2024-05-21 11:35:02,889] - INFO: Epoch 5046/9999, Iter 252260: Loss = 0.007713511120527983, lr = [5e-05] +[2024-05-21 11:35:31,240] - INFO: Epoch 5046/9999, Iter 252280: Loss = 0.009609240107238293, lr = [5e-05] +[2024-05-21 11:36:00,067] - INFO: Epoch 5047/9999, Iter 252300: Loss = 0.01597747951745987, lr = [5e-05] +[2024-05-21 11:36:27,756] - INFO: Epoch 5047/9999, Iter 252320: Loss = 0.010321889072656631, lr = [5e-05] +[2024-05-21 11:36:55,537] - INFO: Epoch 5047/9999, Iter 252340: Loss = 0.012023257091641426, lr = [5e-05] +[2024-05-21 11:37:24,384] - INFO: Epoch 5048/9999, Iter 252360: Loss = 0.019241929054260254, lr = [5e-05] +[2024-05-21 11:37:51,224] - INFO: Epoch 5048/9999, Iter 252380: Loss = 0.01363367959856987, lr = [5e-05] +[2024-05-21 11:38:20,243] - INFO: Epoch 5049/9999, Iter 252400: Loss = 0.011321178637444973, lr = [5e-05] +[2024-05-21 11:38:47,035] - INFO: Epoch 5049/9999, Iter 252420: Loss = 0.010579842142760754, lr = [5e-05] +[2024-05-21 11:39:13,647] - INFO: Epoch 5049/9999, Iter 252440: Loss = 0.007405989337712526, lr = [5e-05] +[2024-05-21 11:39:42,441] - INFO: Epoch 5050/9999, Iter 252460: Loss = 0.014475793577730656, lr = [5e-05] +[2024-05-21 11:40:10,300] - INFO: Epoch 5050/9999, Iter 252480: Loss = 0.017193341627717018, lr = [5e-05] +[2024-05-21 11:40:36,501] - INFO: Evaluate at epoch 5050! +[2024-05-21 11:40:40,600] - INFO: Eval PSNR (max): 38.030 (4700) SSIM (max): 0.9609 (4815) +[2024-05-21 11:40:40,600] - INFO: Eval PSNR (current): 37.917 (5050) SSIM (current): 0.9607 (5050) +[2024-05-21 11:40:40,600] - INFO: Evaluation over. +[2024-05-21 11:40:45,212] - INFO: Epoch 5051/9999, Iter 252500: Loss = 0.010782494209706783, lr = [5e-05] +[2024-05-21 11:41:13,017] - INFO: Epoch 5051/9999, Iter 252520: Loss = 0.01661338284611702, lr = [5e-05] +[2024-05-21 11:41:41,351] - INFO: Epoch 5051/9999, Iter 252540: Loss = 0.008735615760087967, lr = [5e-05] +[2024-05-21 11:42:10,635] - INFO: Epoch 5052/9999, Iter 252560: Loss = 0.010405518114566803, lr = [5e-05] +[2024-05-21 11:42:38,265] - INFO: Epoch 5052/9999, Iter 252580: Loss = 0.012919606640934944, lr = [5e-05] +[2024-05-21 11:43:06,470] - INFO: Epoch 5053/9999, Iter 252600: Loss = 0.010959269478917122, lr = [5e-05] +[2024-05-21 11:43:34,524] - INFO: Epoch 5053/9999, Iter 252620: Loss = 0.011214976198971272, lr = [5e-05] +[2024-05-21 11:44:03,059] - INFO: Epoch 5053/9999, Iter 252640: Loss = 0.013759078457951546, lr = [5e-05] +[2024-05-21 11:44:31,736] - INFO: Epoch 5054/9999, Iter 252660: Loss = 0.008785679005086422, lr = [5e-05] +[2024-05-21 11:44:59,588] - INFO: Epoch 5054/9999, Iter 252680: Loss = 0.014491374604403973, lr = [5e-05] +[2024-05-21 11:45:28,345] - INFO: Epoch 5055/9999, Iter 252700: Loss = 0.013707788661122322, lr = [5e-05] +[2024-05-21 11:45:56,279] - INFO: Epoch 5055/9999, Iter 252720: Loss = 0.01235947571694851, lr = [5e-05] +[2024-05-21 11:46:23,965] - INFO: Epoch 5055/9999, Iter 252740: Loss = 0.010648554190993309, lr = [5e-05] +[2024-05-21 11:46:36,244] - INFO: Evaluate at epoch 5055! +[2024-05-21 11:46:40,327] - INFO: Eval PSNR (max): 38.030 (4700) SSIM (max): 0.9609 (4815) +[2024-05-21 11:46:40,327] - INFO: Eval PSNR (current): 38.002 (5055) SSIM (current): 0.9609 (5055) +[2024-05-21 11:46:40,327] - INFO: Evaluation over. +[2024-05-21 11:46:59,146] - INFO: Epoch 5056/9999, Iter 252760: Loss = 0.01695050299167633, lr = [5e-05] +[2024-05-21 11:47:26,736] - INFO: Epoch 5056/9999, Iter 252780: Loss = 0.015680132433772087, lr = [5e-05] +[2024-05-21 11:47:55,546] - INFO: Epoch 5057/9999, Iter 252800: Loss = 0.0128176249563694, lr = [5e-05] +[2024-05-21 11:48:23,410] - INFO: Epoch 5057/9999, Iter 252820: Loss = 0.012405858375132084, lr = [5e-05] +[2024-05-21 11:48:51,463] - INFO: Epoch 5057/9999, Iter 252840: Loss = 0.01463001687079668, lr = [5e-05] +[2024-05-21 11:49:20,539] - INFO: Epoch 5058/9999, Iter 252860: Loss = 0.02105308324098587, lr = [5e-05] +[2024-05-21 11:49:48,895] - INFO: Epoch 5058/9999, Iter 252880: Loss = 0.009402087889611721, lr = [5e-05] +[2024-05-21 11:50:17,531] - INFO: Epoch 5059/9999, Iter 252900: Loss = 0.014560515992343426, lr = [5e-05] +[2024-05-21 11:50:45,206] - INFO: Epoch 5059/9999, Iter 252920: Loss = 0.013734506443142891, lr = [5e-05] +[2024-05-21 11:51:13,123] - INFO: Epoch 5059/9999, Iter 252940: Loss = 0.011198331601917744, lr = [5e-05] +[2024-05-21 11:51:42,144] - INFO: Epoch 5060/9999, Iter 252960: Loss = 0.009175055660307407, lr = [5e-05] +[2024-05-21 11:52:10,677] - INFO: Epoch 5060/9999, Iter 252980: Loss = 0.010190350003540516, lr = [5e-05] +[2024-05-21 11:52:36,651] - INFO: Evaluate at epoch 5060! +[2024-05-21 11:52:40,833] - INFO: Eval PSNR (max): 38.030 (4700) SSIM (max): 0.9609 (4815) +[2024-05-21 11:52:40,833] - INFO: Eval PSNR (current): 38.021 (5060) SSIM (current): 0.9609 (5060) +[2024-05-21 11:52:40,833] - INFO: Evaluation over. +[2024-05-21 11:52:45,437] - INFO: Epoch 5061/9999, Iter 253000: Loss = 0.02202114835381508, lr = [5e-05] +[2024-05-21 11:53:12,851] - INFO: Epoch 5061/9999, Iter 253020: Loss = 0.012233932502567768, lr = [5e-05] +[2024-05-21 11:53:39,645] - INFO: Epoch 5061/9999, Iter 253040: Loss = 0.0116777578368783, lr = [5e-05] +[2024-05-21 11:54:08,451] - INFO: Epoch 5062/9999, Iter 253060: Loss = 0.014221173711121082, lr = [5e-05] +[2024-05-21 11:54:35,276] - INFO: Epoch 5062/9999, Iter 253080: Loss = 0.01510386262089014, lr = [5e-05] +[2024-05-21 11:55:04,171] - INFO: Epoch 5063/9999, Iter 253100: Loss = 0.012658403255045414, lr = [5e-05] +[2024-05-21 11:55:31,711] - INFO: Epoch 5063/9999, Iter 253120: Loss = 0.014052432030439377, lr = [5e-05] +[2024-05-21 11:55:58,627] - INFO: Epoch 5063/9999, Iter 253140: Loss = 0.006512918975204229, lr = [5e-05] +[2024-05-21 11:56:27,773] - INFO: Epoch 5064/9999, Iter 253160: Loss = 0.012796102091670036, lr = [5e-05] +[2024-05-21 11:56:55,673] - INFO: Epoch 5064/9999, Iter 253180: Loss = 0.01581929624080658, lr = [5e-05] +[2024-05-21 11:57:24,211] - INFO: Epoch 5065/9999, Iter 253200: Loss = 0.01082268450409174, lr = [5e-05] +[2024-05-21 11:57:51,771] - INFO: Epoch 5065/9999, Iter 253220: Loss = 0.00929161999374628, lr = [5e-05] +[2024-05-21 11:58:18,828] - INFO: Epoch 5065/9999, Iter 253240: Loss = 0.013748000375926495, lr = [5e-05] +[2024-05-21 11:58:31,406] - INFO: Evaluate at epoch 5065! +[2024-05-21 11:58:35,472] - INFO: Eval PSNR (max): 38.030 (4700) SSIM (max): 0.9609 (4815) +[2024-05-21 11:58:35,472] - INFO: Eval PSNR (current): 38.023 (5065) SSIM (current): 0.9608 (5065) +[2024-05-21 11:58:35,473] - INFO: Evaluation over. +[2024-05-21 11:58:54,057] - INFO: Epoch 5066/9999, Iter 253260: Loss = 0.010092364624142647, lr = [5e-05] +[2024-05-21 11:59:22,615] - INFO: Epoch 5066/9999, Iter 253280: Loss = 0.015151585452258587, lr = [5e-05] +[2024-05-21 11:59:51,133] - INFO: Epoch 5067/9999, Iter 253300: Loss = 0.011949158273637295, lr = [5e-05] +[2024-05-21 12:00:19,330] - INFO: Epoch 5067/9999, Iter 253320: Loss = 0.013923377729952335, lr = [5e-05] +[2024-05-21 12:00:47,533] - INFO: Epoch 5067/9999, Iter 253340: Loss = 0.015650836750864983, lr = [5e-05] +[2024-05-21 12:01:17,151] - INFO: Epoch 5068/9999, Iter 253360: Loss = 0.014688383787870407, lr = [5e-05] +[2024-05-21 12:01:45,171] - INFO: Epoch 5068/9999, Iter 253380: Loss = 0.007958545349538326, lr = [5e-05] +[2024-05-21 12:02:13,818] - INFO: Epoch 5069/9999, Iter 253400: Loss = 0.008756433613598347, lr = [5e-05] +[2024-05-21 12:02:41,611] - INFO: Epoch 5069/9999, Iter 253420: Loss = 0.014882968738675117, lr = [5e-05] +[2024-05-21 12:03:08,424] - INFO: Epoch 5069/9999, Iter 253440: Loss = 0.012910403311252594, lr = [5e-05] +[2024-05-21 12:03:37,319] - INFO: Epoch 5070/9999, Iter 253460: Loss = 0.010397734120488167, lr = [5e-05] +[2024-05-21 12:04:04,870] - INFO: Epoch 5070/9999, Iter 253480: Loss = 0.014587205834686756, lr = [5e-05] +[2024-05-21 12:04:30,929] - INFO: Evaluate at epoch 5070! +[2024-05-21 12:04:36,825] - INFO: Eval PSNR (max): 38.030 (4700) SSIM (max): 0.9609 (5070) +[2024-05-21 12:04:36,825] - INFO: Eval PSNR (current): 37.943 (5070) SSIM (current): 0.9609 (5070) +[2024-05-21 12:04:36,825] - INFO: Evaluation over. +[2024-05-21 12:04:41,239] - INFO: Epoch 5071/9999, Iter 253500: Loss = 0.016510091722011566, lr = [5e-05] +[2024-05-21 12:05:08,389] - INFO: Epoch 5071/9999, Iter 253520: Loss = 0.013478551059961319, lr = [5e-05] +[2024-05-21 12:05:35,879] - INFO: Epoch 5071/9999, Iter 253540: Loss = 0.017182715237140656, lr = [5e-05] +[2024-05-21 12:06:05,067] - INFO: Epoch 5072/9999, Iter 253560: Loss = 0.013685999438166618, lr = [5e-05] +[2024-05-21 12:06:31,871] - INFO: Epoch 5072/9999, Iter 253580: Loss = 0.013228986412286758, lr = [5e-05] +[2024-05-21 12:07:00,765] - INFO: Epoch 5073/9999, Iter 253600: Loss = 0.012197275646030903, lr = [5e-05] +[2024-05-21 12:07:27,556] - INFO: Epoch 5073/9999, Iter 253620: Loss = 0.011210715398192406, lr = [5e-05] +[2024-05-21 12:07:56,061] - INFO: Epoch 5073/9999, Iter 253640: Loss = 0.015398059040307999, lr = [5e-05] +[2024-05-21 12:08:25,329] - INFO: Epoch 5074/9999, Iter 253660: Loss = 0.013038151897490025, lr = [5e-05] +[2024-05-21 12:08:53,160] - INFO: Epoch 5074/9999, Iter 253680: Loss = 0.0178325567394495, lr = [5e-05] +[2024-05-21 12:09:22,095] - INFO: Epoch 5075/9999, Iter 253700: Loss = 0.02182999812066555, lr = [5e-05] +[2024-05-21 12:09:50,160] - INFO: Epoch 5075/9999, Iter 253720: Loss = 0.018094036728143692, lr = [5e-05] +[2024-05-21 12:10:17,678] - INFO: Epoch 5075/9999, Iter 253740: Loss = 0.00998783204704523, lr = [5e-05] +[2024-05-21 12:10:30,021] - INFO: Evaluate at epoch 5075! +[2024-05-21 12:10:34,117] - INFO: Eval PSNR (max): 38.030 (4700) SSIM (max): 0.9609 (5070) +[2024-05-21 12:10:34,117] - INFO: Eval PSNR (current): 37.986 (5075) SSIM (current): 0.9608 (5075) +[2024-05-21 12:10:34,117] - INFO: Evaluation over. +[2024-05-21 12:10:51,846] - INFO: Epoch 5076/9999, Iter 253760: Loss = 0.01203127857297659, lr = [5e-05] +[2024-05-21 12:11:18,851] - INFO: Epoch 5076/9999, Iter 253780: Loss = 0.01269699726253748, lr = [5e-05] +[2024-05-21 12:11:48,173] - INFO: Epoch 5077/9999, Iter 253800: Loss = 0.012991199269890785, lr = [5e-05] +[2024-05-21 12:12:16,422] - INFO: Epoch 5077/9999, Iter 253820: Loss = 0.017471948638558388, lr = [5e-05] +[2024-05-21 12:12:43,379] - INFO: Epoch 5077/9999, Iter 253840: Loss = 0.009924699552357197, lr = [5e-05] +[2024-05-21 12:13:12,967] - INFO: Epoch 5078/9999, Iter 253860: Loss = 0.008906576782464981, lr = [5e-05] +[2024-05-21 12:13:41,015] - INFO: Epoch 5078/9999, Iter 253880: Loss = 0.013419805094599724, lr = [5e-05] +[2024-05-21 12:14:09,746] - INFO: Epoch 5079/9999, Iter 253900: Loss = 0.006640066392719746, lr = [5e-05] +[2024-05-21 12:14:37,676] - INFO: Epoch 5079/9999, Iter 253920: Loss = 0.013619313016533852, lr = [5e-05] +[2024-05-21 12:15:06,259] - INFO: Epoch 5079/9999, Iter 253940: Loss = 0.016979733482003212, lr = [5e-05] +[2024-05-21 12:15:34,697] - INFO: Epoch 5080/9999, Iter 253960: Loss = 0.013267649337649345, lr = [5e-05] +[2024-05-21 12:16:02,783] - INFO: Epoch 5080/9999, Iter 253980: Loss = 0.010761702433228493, lr = [5e-05] +[2024-05-21 12:16:28,307] - INFO: Evaluate at epoch 5080! +[2024-05-21 12:16:32,667] - INFO: Eval PSNR (max): 38.030 (4700) SSIM (max): 0.9609 (5070) +[2024-05-21 12:16:32,668] - INFO: Eval PSNR (current): 37.982 (5080) SSIM (current): 0.9608 (5080) +[2024-05-21 12:16:32,668] - INFO: Evaluation over. +[2024-05-21 12:16:37,203] - INFO: Epoch 5081/9999, Iter 254000: Loss = 0.009066700004041195, lr = [5e-05] +[2024-05-21 12:17:04,788] - INFO: Epoch 5081/9999, Iter 254020: Loss = 0.012010575272142887, lr = [5e-05] +[2024-05-21 12:17:32,869] - INFO: Epoch 5081/9999, Iter 254040: Loss = 0.012413179501891136, lr = [5e-05] +[2024-05-21 12:18:02,683] - INFO: Epoch 5082/9999, Iter 254060: Loss = 0.009147364646196365, lr = [5e-05] +[2024-05-21 12:18:30,358] - INFO: Epoch 5082/9999, Iter 254080: Loss = 0.00999423023313284, lr = [5e-05] +[2024-05-21 12:18:58,911] - INFO: Epoch 5083/9999, Iter 254100: Loss = 0.013452054932713509, lr = [5e-05] +[2024-05-21 12:19:26,507] - INFO: Epoch 5083/9999, Iter 254120: Loss = 0.013454034924507141, lr = [5e-05] +[2024-05-21 12:19:53,367] - INFO: Epoch 5083/9999, Iter 254140: Loss = 0.00901973620057106, lr = [5e-05] +[2024-05-21 12:20:22,643] - INFO: Epoch 5084/9999, Iter 254160: Loss = 0.018449699506163597, lr = [5e-05] +[2024-05-21 12:20:50,436] - INFO: Epoch 5084/9999, Iter 254180: Loss = 0.011424252763390541, lr = [5e-05] +[2024-05-21 12:21:19,399] - INFO: Epoch 5085/9999, Iter 254200: Loss = 0.01934962347149849, lr = [5e-05] +[2024-05-21 12:21:46,293] - INFO: Epoch 5085/9999, Iter 254220: Loss = 0.008417904376983643, lr = [5e-05] +[2024-05-21 12:22:14,743] - INFO: Epoch 5085/9999, Iter 254240: Loss = 0.014151984825730324, lr = [5e-05] +[2024-05-21 12:22:27,056] - INFO: Evaluate at epoch 5085! +[2024-05-21 12:22:31,273] - INFO: Eval PSNR (max): 38.030 (4700) SSIM (max): 0.9609 (5070) +[2024-05-21 12:22:31,273] - INFO: Eval PSNR (current): 37.968 (5085) SSIM (current): 0.9607 (5085) +[2024-05-21 12:22:31,274] - INFO: Evaluation over. +[2024-05-21 12:22:49,962] - INFO: Epoch 5086/9999, Iter 254260: Loss = 0.018151577562093735, lr = [5e-05] +[2024-05-21 12:23:17,379] - INFO: Epoch 5086/9999, Iter 254280: Loss = 0.01197010651230812, lr = [5e-05] +[2024-05-21 12:23:46,214] - INFO: Epoch 5087/9999, Iter 254300: Loss = 0.013841750100255013, lr = [5e-05] +[2024-05-21 12:24:13,613] - INFO: Epoch 5087/9999, Iter 254320: Loss = 0.00968643557280302, lr = [5e-05] +[2024-05-21 12:24:41,229] - INFO: Epoch 5087/9999, Iter 254340: Loss = 0.013368983753025532, lr = [5e-05] +[2024-05-21 12:25:10,259] - INFO: Epoch 5088/9999, Iter 254360: Loss = 0.016193030402064323, lr = [5e-05] +[2024-05-21 12:25:38,156] - INFO: Epoch 5088/9999, Iter 254380: Loss = 0.015552831813693047, lr = [5e-05] +[2024-05-21 12:26:07,095] - INFO: Epoch 5089/9999, Iter 254400: Loss = 0.011233218014240265, lr = [5e-05] +[2024-05-21 12:26:35,411] - INFO: Epoch 5089/9999, Iter 254420: Loss = 0.01941791921854019, lr = [5e-05] +[2024-05-21 12:27:02,407] - INFO: Epoch 5089/9999, Iter 254440: Loss = 0.007893376983702183, lr = [5e-05] +[2024-05-21 12:27:31,847] - INFO: Epoch 5090/9999, Iter 254460: Loss = 0.007753613404929638, lr = [5e-05] +[2024-05-21 12:27:59,263] - INFO: Epoch 5090/9999, Iter 254480: Loss = 0.013341986574232578, lr = [5e-05] +[2024-05-21 12:28:24,542] - INFO: Evaluate at epoch 5090! +[2024-05-21 12:28:30,620] - INFO: Eval PSNR (max): 38.030 (4700) SSIM (max): 0.9610 (5090) +[2024-05-21 12:28:30,621] - INFO: Eval PSNR (current): 38.010 (5090) SSIM (current): 0.9610 (5090) +[2024-05-21 12:28:30,621] - INFO: Evaluation over. +[2024-05-21 12:28:35,123] - INFO: Epoch 5091/9999, Iter 254500: Loss = 0.012551029212772846, lr = [5e-05] +[2024-05-21 12:29:02,413] - INFO: Epoch 5091/9999, Iter 254520: Loss = 0.008764035068452358, lr = [5e-05] +[2024-05-21 12:29:29,307] - INFO: Epoch 5091/9999, Iter 254540: Loss = 0.013768534176051617, lr = [5e-05] +[2024-05-21 12:29:58,439] - INFO: Epoch 5092/9999, Iter 254560: Loss = 0.013732186518609524, lr = [5e-05] +[2024-05-21 12:30:27,142] - INFO: Epoch 5092/9999, Iter 254580: Loss = 0.010595978237688541, lr = [5e-05] +[2024-05-21 12:30:55,823] - INFO: Epoch 5093/9999, Iter 254600: Loss = 0.008979365229606628, lr = [5e-05] +[2024-05-21 12:31:23,205] - INFO: Epoch 5093/9999, Iter 254620: Loss = 0.013822550885379314, lr = [5e-05] +[2024-05-21 12:31:52,207] - INFO: Epoch 5093/9999, Iter 254640: Loss = 0.009806036949157715, lr = [5e-05] +[2024-05-21 12:32:20,627] - INFO: Epoch 5094/9999, Iter 254660: Loss = 0.011092531494796276, lr = [5e-05] +[2024-05-21 12:32:49,096] - INFO: Epoch 5094/9999, Iter 254680: Loss = 0.012166290543973446, lr = [5e-05] +[2024-05-21 12:33:17,917] - INFO: Epoch 5095/9999, Iter 254700: Loss = 0.015571224503219128, lr = [5e-05] +[2024-05-21 12:33:44,575] - INFO: Epoch 5095/9999, Iter 254720: Loss = 0.01664748042821884, lr = [5e-05] +[2024-05-21 12:34:11,531] - INFO: Epoch 5095/9999, Iter 254740: Loss = 0.009735469706356525, lr = [5e-05] +[2024-05-21 12:34:24,171] - INFO: Evaluate at epoch 5095! +[2024-05-21 12:34:28,259] - INFO: Eval PSNR (max): 38.030 (4700) SSIM (max): 0.9610 (5090) +[2024-05-21 12:34:28,259] - INFO: Eval PSNR (current): 37.995 (5095) SSIM (current): 0.9609 (5095) +[2024-05-21 12:34:28,259] - INFO: Evaluation over. +[2024-05-21 12:34:46,751] - INFO: Epoch 5096/9999, Iter 254760: Loss = 0.01869044452905655, lr = [5e-05] +[2024-05-21 12:35:14,298] - INFO: Epoch 5096/9999, Iter 254780: Loss = 0.011419872753322124, lr = [5e-05] +[2024-05-21 12:35:43,443] - INFO: Epoch 5097/9999, Iter 254800: Loss = 0.01078056637197733, lr = [5e-05] +[2024-05-21 12:36:10,099] - INFO: Epoch 5097/9999, Iter 254820: Loss = 0.01898634433746338, lr = [5e-05] +[2024-05-21 12:36:37,281] - INFO: Epoch 5097/9999, Iter 254840: Loss = 0.010166777297854424, lr = [5e-05] +[2024-05-21 12:37:06,391] - INFO: Epoch 5098/9999, Iter 254860: Loss = 0.012036014348268509, lr = [5e-05] +[2024-05-21 12:37:33,452] - INFO: Epoch 5098/9999, Iter 254880: Loss = 0.011517838574945927, lr = [5e-05] +[2024-05-21 12:38:02,339] - INFO: Epoch 5099/9999, Iter 254900: Loss = 0.012607911601662636, lr = [5e-05] +[2024-05-21 12:38:30,446] - INFO: Epoch 5099/9999, Iter 254920: Loss = 0.0071737500838935375, lr = [5e-05] +[2024-05-21 12:38:58,719] - INFO: Epoch 5099/9999, Iter 254940: Loss = 0.01331624761223793, lr = [5e-05] +[2024-05-21 12:39:27,515] - INFO: Epoch 5100/9999, Iter 254960: Loss = 0.008881798945367336, lr = [5e-05] +[2024-05-21 12:39:56,574] - INFO: Epoch 5100/9999, Iter 254980: Loss = 0.011159024201333523, lr = [5e-05] +[2024-05-21 12:40:22,121] - INFO: Evaluate at epoch 5100! +[2024-05-21 12:40:26,337] - INFO: Eval PSNR (max): 38.030 (4700) SSIM (max): 0.9610 (5090) +[2024-05-21 12:40:26,337] - INFO: Eval PSNR (current): 38.029 (5100) SSIM (current): 0.9609 (5100) +[2024-05-21 12:40:26,338] - INFO: Evaluation over. +[2024-05-21 12:40:31,011] - INFO: Epoch 5101/9999, Iter 255000: Loss = 0.010646604001522064, lr = [5e-05] +[2024-05-21 12:40:59,527] - INFO: Epoch 5101/9999, Iter 255020: Loss = 0.02143038809299469, lr = [5e-05] +[2024-05-21 12:41:27,050] - INFO: Epoch 5101/9999, Iter 255040: Loss = 0.010691016912460327, lr = [5e-05] +[2024-05-21 12:41:56,187] - INFO: Epoch 5102/9999, Iter 255060: Loss = 0.009807540103793144, lr = [5e-05] +[2024-05-21 12:42:24,487] - INFO: Epoch 5102/9999, Iter 255080: Loss = 0.016122804954648018, lr = [5e-05] +[2024-05-21 12:42:53,311] - INFO: Epoch 5103/9999, Iter 255100: Loss = 0.0120009183883667, lr = [5e-05] +[2024-05-21 12:43:20,231] - INFO: Epoch 5103/9999, Iter 255120: Loss = 0.013943590223789215, lr = [5e-05] +[2024-05-21 12:43:48,099] - INFO: Epoch 5103/9999, Iter 255140: Loss = 0.013137055560946465, lr = [5e-05] +[2024-05-21 12:44:16,943] - INFO: Epoch 5104/9999, Iter 255160: Loss = 0.019691189751029015, lr = [5e-05] +[2024-05-21 12:44:44,547] - INFO: Epoch 5104/9999, Iter 255180: Loss = 0.012101820670068264, lr = [5e-05] +[2024-05-21 12:45:13,506] - INFO: Epoch 5105/9999, Iter 255200: Loss = 0.012559758499264717, lr = [5e-05] +[2024-05-21 12:45:41,603] - INFO: Epoch 5105/9999, Iter 255220: Loss = 0.007880226708948612, lr = [5e-05] +[2024-05-21 12:46:08,884] - INFO: Epoch 5105/9999, Iter 255240: Loss = 0.012210030108690262, lr = [5e-05] +[2024-05-21 12:46:21,368] - INFO: Evaluate at epoch 5105! +[2024-05-21 12:46:25,456] - INFO: Eval PSNR (max): 38.030 (4700) SSIM (max): 0.9610 (5090) +[2024-05-21 12:46:25,456] - INFO: Eval PSNR (current): 37.991 (5105) SSIM (current): 0.9607 (5105) +[2024-05-21 12:46:25,456] - INFO: Evaluation over. +[2024-05-21 12:46:44,452] - INFO: Epoch 5106/9999, Iter 255260: Loss = 0.01089512463659048, lr = [5e-05] +[2024-05-21 12:47:12,377] - INFO: Epoch 5106/9999, Iter 255280: Loss = 0.017188111320137978, lr = [5e-05] +[2024-05-21 12:47:41,109] - INFO: Epoch 5107/9999, Iter 255300: Loss = 0.014205683022737503, lr = [5e-05] +[2024-05-21 12:48:09,080] - INFO: Epoch 5107/9999, Iter 255320: Loss = 0.011187498457729816, lr = [5e-05] +[2024-05-21 12:48:37,491] - INFO: Epoch 5107/9999, Iter 255340: Loss = 0.017095329239964485, lr = [5e-05] +[2024-05-21 12:49:06,709] - INFO: Epoch 5108/9999, Iter 255360: Loss = 0.009835738688707352, lr = [5e-05] +[2024-05-21 12:49:33,839] - INFO: Epoch 5108/9999, Iter 255380: Loss = 0.015622039325535297, lr = [5e-05] +[2024-05-21 12:50:02,039] - INFO: Epoch 5109/9999, Iter 255400: Loss = 0.015530003234744072, lr = [5e-05] +[2024-05-21 12:50:30,079] - INFO: Epoch 5109/9999, Iter 255420: Loss = 0.01886710338294506, lr = [5e-05] +[2024-05-21 12:50:57,490] - INFO: Epoch 5109/9999, Iter 255440: Loss = 0.013022308237850666, lr = [5e-05] +[2024-05-21 12:51:25,446] - INFO: Epoch 5110/9999, Iter 255460: Loss = 0.012560557574033737, lr = [5e-05] +[2024-05-21 12:51:52,745] - INFO: Epoch 5110/9999, Iter 255480: Loss = 0.010849370621144772, lr = [5e-05] +[2024-05-21 12:52:18,895] - INFO: Evaluate at epoch 5110! +[2024-05-21 12:52:22,991] - INFO: Eval PSNR (max): 38.030 (4700) SSIM (max): 0.9610 (5090) +[2024-05-21 12:52:22,991] - INFO: Eval PSNR (current): 37.987 (5110) SSIM (current): 0.9609 (5110) +[2024-05-21 12:52:22,991] - INFO: Evaluation over. +[2024-05-21 12:52:27,367] - INFO: Epoch 5111/9999, Iter 255500: Loss = 0.011651930399239063, lr = [5e-05] +[2024-05-21 12:52:54,493] - INFO: Epoch 5111/9999, Iter 255520: Loss = 0.013439721427857876, lr = [5e-05] +[2024-05-21 12:53:21,692] - INFO: Epoch 5111/9999, Iter 255540: Loss = 0.011325732804834843, lr = [5e-05] +[2024-05-21 12:53:51,455] - INFO: Epoch 5112/9999, Iter 255560: Loss = 0.01122866291552782, lr = [5e-05] +[2024-05-21 12:54:19,143] - INFO: Epoch 5112/9999, Iter 255580: Loss = 0.009537676349282265, lr = [5e-05] +[2024-05-21 12:54:47,664] - INFO: Epoch 5113/9999, Iter 255600: Loss = 0.014634481631219387, lr = [5e-05] +[2024-05-21 12:55:15,859] - INFO: Epoch 5113/9999, Iter 255620: Loss = 0.014381314627826214, lr = [5e-05] +[2024-05-21 12:55:43,563] - INFO: Epoch 5113/9999, Iter 255640: Loss = 0.013876326382160187, lr = [5e-05] +[2024-05-21 12:56:12,499] - INFO: Epoch 5114/9999, Iter 255660: Loss = 0.012661479413509369, lr = [5e-05] +[2024-05-21 12:56:40,002] - INFO: Epoch 5114/9999, Iter 255680: Loss = 0.018086746335029602, lr = [5e-05] +[2024-05-21 12:57:08,816] - INFO: Epoch 5115/9999, Iter 255700: Loss = 0.009211569093167782, lr = [5e-05] +[2024-05-21 12:57:36,188] - INFO: Epoch 5115/9999, Iter 255720: Loss = 0.01609657146036625, lr = [5e-05] +[2024-05-21 12:58:04,888] - INFO: Epoch 5115/9999, Iter 255740: Loss = 0.007576933596283197, lr = [5e-05] +[2024-05-21 12:58:16,791] - INFO: Evaluate at epoch 5115! +[2024-05-21 12:58:22,398] - INFO: Eval PSNR (max): 38.031 (5115) SSIM (max): 0.9610 (5090) +[2024-05-21 12:58:22,398] - INFO: Eval PSNR (current): 38.031 (5115) SSIM (current): 0.9609 (5115) +[2024-05-21 12:58:22,398] - INFO: Evaluation over. +[2024-05-21 12:58:39,931] - INFO: Epoch 5116/9999, Iter 255760: Loss = 0.014366382732987404, lr = [5e-05] +[2024-05-21 12:59:08,039] - INFO: Epoch 5116/9999, Iter 255780: Loss = 0.019111743196845055, lr = [5e-05] +[2024-05-21 12:59:36,711] - INFO: Epoch 5117/9999, Iter 255800: Loss = 0.009408596903085709, lr = [5e-05] +[2024-05-21 13:00:03,855] - INFO: Epoch 5117/9999, Iter 255820: Loss = 0.010525200515985489, lr = [5e-05] +[2024-05-21 13:00:32,435] - INFO: Epoch 5117/9999, Iter 255840: Loss = 0.013035410083830357, lr = [5e-05] +[2024-05-21 13:01:00,487] - INFO: Epoch 5118/9999, Iter 255860: Loss = 0.012578899972140789, lr = [5e-05] +[2024-05-21 13:01:27,842] - INFO: Epoch 5118/9999, Iter 255880: Loss = 0.012092964723706245, lr = [5e-05] +[2024-05-21 13:01:56,903] - INFO: Epoch 5119/9999, Iter 255900: Loss = 0.009996660053730011, lr = [5e-05] +[2024-05-21 13:02:24,487] - INFO: Epoch 5119/9999, Iter 255920: Loss = 0.013950977474451065, lr = [5e-05] +[2024-05-21 13:02:52,077] - INFO: Epoch 5119/9999, Iter 255940: Loss = 0.01494985818862915, lr = [5e-05] +[2024-05-21 13:03:21,459] - INFO: Epoch 5120/9999, Iter 255960: Loss = 0.012829364277422428, lr = [5e-05] +[2024-05-21 13:03:49,464] - INFO: Epoch 5120/9999, Iter 255980: Loss = 0.012994751334190369, lr = [5e-05] +[2024-05-21 13:04:15,364] - INFO: Evaluate at epoch 5120! +[2024-05-21 13:04:19,460] - INFO: Eval PSNR (max): 38.031 (5115) SSIM (max): 0.9610 (5090) +[2024-05-21 13:04:19,460] - INFO: Eval PSNR (current): 37.986 (5120) SSIM (current): 0.9608 (5120) +[2024-05-21 13:04:19,460] - INFO: Evaluation over. +[2024-05-21 13:04:23,875] - INFO: Epoch 5121/9999, Iter 256000: Loss = 0.013013193383812904, lr = [5e-05] +[2024-05-21 13:04:51,403] - INFO: Epoch 5121/9999, Iter 256020: Loss = 0.014760849997401237, lr = [5e-05] +[2024-05-21 13:05:18,947] - INFO: Epoch 5121/9999, Iter 256040: Loss = 0.012874521315097809, lr = [5e-05] +[2024-05-21 13:05:47,427] - INFO: Epoch 5122/9999, Iter 256060: Loss = 0.01562688685953617, lr = [5e-05] +[2024-05-21 13:06:14,443] - INFO: Epoch 5122/9999, Iter 256080: Loss = 0.008147060871124268, lr = [5e-05] +[2024-05-21 13:06:43,938] - INFO: Epoch 5123/9999, Iter 256100: Loss = 0.009905506856739521, lr = [5e-05] +[2024-05-21 13:07:11,968] - INFO: Epoch 5123/9999, Iter 256120: Loss = 0.011702020652592182, lr = [5e-05] +[2024-05-21 13:07:40,336] - INFO: Epoch 5123/9999, Iter 256140: Loss = 0.008908165618777275, lr = [5e-05] +[2024-05-21 13:08:09,252] - INFO: Epoch 5124/9999, Iter 256160: Loss = 0.012936150655150414, lr = [5e-05] +[2024-05-21 13:08:37,306] - INFO: Epoch 5124/9999, Iter 256180: Loss = 0.016725672408938408, lr = [5e-05] +[2024-05-21 13:09:05,602] - INFO: Epoch 5125/9999, Iter 256200: Loss = 0.008336808532476425, lr = [5e-05] +[2024-05-21 13:09:33,425] - INFO: Epoch 5125/9999, Iter 256220: Loss = 0.013893087394535542, lr = [5e-05] +[2024-05-21 13:10:01,331] - INFO: Epoch 5125/9999, Iter 256240: Loss = 0.016165317967534065, lr = [5e-05] +[2024-05-21 13:10:13,769] - INFO: Evaluate at epoch 5125! +[2024-05-21 13:10:17,864] - INFO: Eval PSNR (max): 38.031 (5115) SSIM (max): 0.9610 (5090) +[2024-05-21 13:10:17,864] - INFO: Eval PSNR (current): 37.985 (5125) SSIM (current): 0.9608 (5125) +[2024-05-21 13:10:17,864] - INFO: Evaluation over. +[2024-05-21 13:10:35,680] - INFO: Epoch 5126/9999, Iter 256260: Loss = 0.009555898606777191, lr = [5e-05] +[2024-05-21 13:11:04,434] - INFO: Epoch 5126/9999, Iter 256280: Loss = 0.011135291308164597, lr = [5e-05] +[2024-05-21 13:11:33,275] - INFO: Epoch 5127/9999, Iter 256300: Loss = 0.01160531584173441, lr = [5e-05] +[2024-05-21 13:12:02,191] - INFO: Epoch 5127/9999, Iter 256320: Loss = 0.008138741366565228, lr = [5e-05] +[2024-05-21 13:12:29,563] - INFO: Epoch 5127/9999, Iter 256340: Loss = 0.01903989166021347, lr = [5e-05] +[2024-05-21 13:12:58,849] - INFO: Epoch 5128/9999, Iter 256360: Loss = 0.012670641764998436, lr = [5e-05] +[2024-05-21 13:13:27,700] - INFO: Epoch 5128/9999, Iter 256380: Loss = 0.01753929629921913, lr = [5e-05] +[2024-05-21 13:13:56,075] - INFO: Epoch 5129/9999, Iter 256400: Loss = 0.011839937418699265, lr = [5e-05] +[2024-05-21 13:14:23,622] - INFO: Epoch 5129/9999, Iter 256420: Loss = 0.009376435540616512, lr = [5e-05] +[2024-05-21 13:14:51,532] - INFO: Epoch 5129/9999, Iter 256440: Loss = 0.019637271761894226, lr = [5e-05] +[2024-05-21 13:15:20,328] - INFO: Epoch 5130/9999, Iter 256460: Loss = 0.008921025320887566, lr = [5e-05] +[2024-05-21 13:15:47,427] - INFO: Epoch 5130/9999, Iter 256480: Loss = 0.011139167472720146, lr = [5e-05] +[2024-05-21 13:16:14,141] - INFO: Evaluate at epoch 5130! +[2024-05-21 13:16:18,228] - INFO: Eval PSNR (max): 38.031 (5115) SSIM (max): 0.9610 (5090) +[2024-05-21 13:16:18,228] - INFO: Eval PSNR (current): 38.008 (5130) SSIM (current): 0.9609 (5130) +[2024-05-21 13:16:18,228] - INFO: Evaluation over. +[2024-05-21 13:16:22,711] - INFO: Epoch 5131/9999, Iter 256500: Loss = 0.007574941497296095, lr = [5e-05] +[2024-05-21 13:16:49,567] - INFO: Epoch 5131/9999, Iter 256520: Loss = 0.014486192725598812, lr = [5e-05] +[2024-05-21 13:17:16,633] - INFO: Epoch 5131/9999, Iter 256540: Loss = 0.00924750603735447, lr = [5e-05] +[2024-05-21 13:17:45,689] - INFO: Epoch 5132/9999, Iter 256560: Loss = 0.016946103423833847, lr = [5e-05] +[2024-05-21 13:18:13,880] - INFO: Epoch 5132/9999, Iter 256580: Loss = 0.01237478107213974, lr = [5e-05] +[2024-05-21 13:18:43,131] - INFO: Epoch 5133/9999, Iter 256600: Loss = 0.009816978126764297, lr = [5e-05] +[2024-05-21 13:19:11,171] - INFO: Epoch 5133/9999, Iter 256620: Loss = 0.012941081076860428, lr = [5e-05] +[2024-05-21 13:19:39,637] - INFO: Epoch 5133/9999, Iter 256640: Loss = 0.00872025266289711, lr = [5e-05] +[2024-05-21 13:20:07,709] - INFO: Epoch 5134/9999, Iter 256660: Loss = 0.013174189254641533, lr = [5e-05] +[2024-05-21 13:20:35,555] - INFO: Epoch 5134/9999, Iter 256680: Loss = 0.014291415922343731, lr = [5e-05] +[2024-05-21 13:21:04,818] - INFO: Epoch 5135/9999, Iter 256700: Loss = 0.0190289206802845, lr = [5e-05] +[2024-05-21 13:21:32,760] - INFO: Epoch 5135/9999, Iter 256720: Loss = 0.013287164270877838, lr = [5e-05] +[2024-05-21 13:22:00,413] - INFO: Epoch 5135/9999, Iter 256740: Loss = 0.011725681833922863, lr = [5e-05] +[2024-05-21 13:22:12,744] - INFO: Evaluate at epoch 5135! +[2024-05-21 13:22:16,830] - INFO: Eval PSNR (max): 38.031 (5115) SSIM (max): 0.9610 (5090) +[2024-05-21 13:22:16,830] - INFO: Eval PSNR (current): 37.976 (5135) SSIM (current): 0.9608 (5135) +[2024-05-21 13:22:16,830] - INFO: Evaluation over. +[2024-05-21 13:22:35,550] - INFO: Epoch 5136/9999, Iter 256760: Loss = 0.012229014188051224, lr = [5e-05] +[2024-05-21 13:23:03,540] - INFO: Epoch 5136/9999, Iter 256780: Loss = 0.010847578756511211, lr = [5e-05] +[2024-05-21 13:23:31,814] - INFO: Epoch 5137/9999, Iter 256800: Loss = 0.008406508713960648, lr = [5e-05] +[2024-05-21 13:23:59,411] - INFO: Epoch 5137/9999, Iter 256820: Loss = 0.008965651504695415, lr = [5e-05] +[2024-05-21 13:24:26,787] - INFO: Epoch 5137/9999, Iter 256840: Loss = 0.006902811583131552, lr = [5e-05] +[2024-05-21 13:24:54,849] - INFO: Epoch 5138/9999, Iter 256860: Loss = 0.007203255780041218, lr = [5e-05] +[2024-05-21 13:25:22,788] - INFO: Epoch 5138/9999, Iter 256880: Loss = 0.014421915635466576, lr = [5e-05] +[2024-05-21 13:25:51,811] - INFO: Epoch 5139/9999, Iter 256900: Loss = 0.01354538556188345, lr = [5e-05] +[2024-05-21 13:26:18,427] - INFO: Epoch 5139/9999, Iter 256920: Loss = 0.015299529768526554, lr = [5e-05] +[2024-05-21 13:26:46,155] - INFO: Epoch 5139/9999, Iter 256940: Loss = 0.010410906746983528, lr = [5e-05] +[2024-05-21 13:27:14,617] - INFO: Epoch 5140/9999, Iter 256960: Loss = 0.010881008580327034, lr = [5e-05] +[2024-05-21 13:27:41,502] - INFO: Epoch 5140/9999, Iter 256980: Loss = 0.022899163886904716, lr = [5e-05] +[2024-05-21 13:28:08,389] - INFO: Evaluate at epoch 5140! +[2024-05-21 13:28:12,479] - INFO: Eval PSNR (max): 38.031 (5115) SSIM (max): 0.9610 (5090) +[2024-05-21 13:28:12,479] - INFO: Eval PSNR (current): 38.003 (5140) SSIM (current): 0.9608 (5140) +[2024-05-21 13:28:12,479] - INFO: Evaluation over. +[2024-05-21 13:28:17,145] - INFO: Epoch 5141/9999, Iter 257000: Loss = 0.009802469983696938, lr = [5e-05] +[2024-05-21 13:28:45,687] - INFO: Epoch 5141/9999, Iter 257020: Loss = 0.0068574752658605576, lr = [5e-05] +[2024-05-21 13:29:13,102] - INFO: Epoch 5141/9999, Iter 257040: Loss = 0.010149748995900154, lr = [5e-05] +[2024-05-21 13:29:41,252] - INFO: Epoch 5142/9999, Iter 257060: Loss = 0.013542071916162968, lr = [5e-05] +[2024-05-21 13:30:08,593] - INFO: Epoch 5142/9999, Iter 257080: Loss = 0.012133557349443436, lr = [5e-05] +[2024-05-21 13:30:38,132] - INFO: Epoch 5143/9999, Iter 257100: Loss = 0.00945307593792677, lr = [5e-05] +[2024-05-21 13:31:06,391] - INFO: Epoch 5143/9999, Iter 257120: Loss = 0.012054415419697762, lr = [5e-05] +[2024-05-21 13:31:33,988] - INFO: Epoch 5143/9999, Iter 257140: Loss = 0.017124004662036896, lr = [5e-05] +[2024-05-21 13:32:02,821] - INFO: Epoch 5144/9999, Iter 257160: Loss = 0.010178236290812492, lr = [5e-05] +[2024-05-21 13:32:31,323] - INFO: Epoch 5144/9999, Iter 257180: Loss = 0.01181699987500906, lr = [5e-05] +[2024-05-21 13:32:59,731] - INFO: Epoch 5145/9999, Iter 257200: Loss = 0.016352543607354164, lr = [5e-05] +[2024-05-21 13:33:27,498] - INFO: Epoch 5145/9999, Iter 257220: Loss = 0.007015784736722708, lr = [5e-05] +[2024-05-21 13:33:55,503] - INFO: Epoch 5145/9999, Iter 257240: Loss = 0.0146659966558218, lr = [5e-05] +[2024-05-21 13:34:07,443] - INFO: Evaluate at epoch 5145! +[2024-05-21 13:34:11,540] - INFO: Eval PSNR (max): 38.031 (5115) SSIM (max): 0.9610 (5090) +[2024-05-21 13:34:11,540] - INFO: Eval PSNR (current): 38.004 (5145) SSIM (current): 0.9608 (5145) +[2024-05-21 13:34:11,540] - INFO: Evaluation over. +[2024-05-21 13:34:29,962] - INFO: Epoch 5146/9999, Iter 257260: Loss = 0.010810304433107376, lr = [5e-05] +[2024-05-21 13:34:58,442] - INFO: Epoch 5146/9999, Iter 257280: Loss = 0.014029125683009624, lr = [5e-05] +[2024-05-21 13:35:27,015] - INFO: Epoch 5147/9999, Iter 257300: Loss = 0.010145020671188831, lr = [5e-05] +[2024-05-21 13:35:53,489] - INFO: Epoch 5147/9999, Iter 257320: Loss = 0.010102244094014168, lr = [5e-05] +[2024-05-21 13:36:20,727] - INFO: Epoch 5147/9999, Iter 257340: Loss = 0.013836834579706192, lr = [5e-05] +[2024-05-21 13:36:49,354] - INFO: Epoch 5148/9999, Iter 257360: Loss = 0.016094038262963295, lr = [5e-05] +[2024-05-21 13:37:16,679] - INFO: Epoch 5148/9999, Iter 257380: Loss = 0.007603712845593691, lr = [5e-05] +[2024-05-21 13:37:45,795] - INFO: Epoch 5149/9999, Iter 257400: Loss = 0.015268148854374886, lr = [5e-05] +[2024-05-21 13:38:13,091] - INFO: Epoch 5149/9999, Iter 257420: Loss = 0.014345290139317513, lr = [5e-05] +[2024-05-21 13:38:41,278] - INFO: Epoch 5149/9999, Iter 257440: Loss = 0.015438015572726727, lr = [5e-05] +[2024-05-21 13:39:10,364] - INFO: Epoch 5150/9999, Iter 257460: Loss = 0.015511352568864822, lr = [5e-05] +[2024-05-21 13:39:38,959] - INFO: Epoch 5150/9999, Iter 257480: Loss = 0.011483706533908844, lr = [5e-05] +[2024-05-21 13:40:04,924] - INFO: Evaluate at epoch 5150! +[2024-05-21 13:40:09,013] - INFO: Eval PSNR (max): 38.031 (5115) SSIM (max): 0.9610 (5090) +[2024-05-21 13:40:09,013] - INFO: Eval PSNR (current): 37.984 (5150) SSIM (current): 0.9608 (5150) +[2024-05-21 13:40:09,013] - INFO: Evaluation over. +[2024-05-21 13:40:13,380] - INFO: Epoch 5151/9999, Iter 257500: Loss = 0.007154792547225952, lr = [5e-05] +[2024-05-21 13:40:41,581] - INFO: Epoch 5151/9999, Iter 257520: Loss = 0.012558835558593273, lr = [5e-05] +[2024-05-21 13:41:09,142] - INFO: Epoch 5151/9999, Iter 257540: Loss = 0.011863183230161667, lr = [5e-05] +[2024-05-21 13:41:38,250] - INFO: Epoch 5152/9999, Iter 257560: Loss = 0.009448815137147903, lr = [5e-05] +[2024-05-21 13:42:05,624] - INFO: Epoch 5152/9999, Iter 257580: Loss = 0.015315519645810127, lr = [5e-05] +[2024-05-21 13:42:34,679] - INFO: Epoch 5153/9999, Iter 257600: Loss = 0.011957851238548756, lr = [5e-05] +[2024-05-21 13:43:01,742] - INFO: Epoch 5153/9999, Iter 257620: Loss = 0.011228649877011776, lr = [5e-05] +[2024-05-21 13:43:28,995] - INFO: Epoch 5153/9999, Iter 257640: Loss = 0.0156877301633358, lr = [5e-05] +[2024-05-21 13:43:58,669] - INFO: Epoch 5154/9999, Iter 257660: Loss = 0.014218675903975964, lr = [5e-05] +[2024-05-21 13:44:26,955] - INFO: Epoch 5154/9999, Iter 257680: Loss = 0.011960766278207302, lr = [5e-05] +[2024-05-21 13:44:55,459] - INFO: Epoch 5155/9999, Iter 257700: Loss = 0.010205353610217571, lr = [5e-05] +[2024-05-21 13:45:23,739] - INFO: Epoch 5155/9999, Iter 257720: Loss = 0.012229682877659798, lr = [5e-05] +[2024-05-21 13:45:51,480] - INFO: Epoch 5155/9999, Iter 257740: Loss = 0.019680321216583252, lr = [5e-05] +[2024-05-21 13:46:03,489] - INFO: Evaluate at epoch 5155! +[2024-05-21 13:46:07,575] - INFO: Eval PSNR (max): 38.031 (5115) SSIM (max): 0.9610 (5090) +[2024-05-21 13:46:07,576] - INFO: Eval PSNR (current): 37.972 (5155) SSIM (current): 0.9608 (5155) +[2024-05-21 13:46:07,576] - INFO: Evaluation over. +[2024-05-21 13:46:26,050] - INFO: Epoch 5156/9999, Iter 257760: Loss = 0.015640487894415855, lr = [5e-05] +[2024-05-21 13:46:54,303] - INFO: Epoch 5156/9999, Iter 257780: Loss = 0.0108950799331069, lr = [5e-05] +[2024-05-21 13:47:22,642] - INFO: Epoch 5157/9999, Iter 257800: Loss = 0.009365110658109188, lr = [5e-05] +[2024-05-21 13:47:49,356] - INFO: Epoch 5157/9999, Iter 257820: Loss = 0.010765515267848969, lr = [5e-05] +[2024-05-21 13:48:16,947] - INFO: Epoch 5157/9999, Iter 257840: Loss = 0.006805890239775181, lr = [5e-05] +[2024-05-21 13:48:45,428] - INFO: Epoch 5158/9999, Iter 257860: Loss = 0.011029534041881561, lr = [5e-05] +[2024-05-21 13:49:12,143] - INFO: Epoch 5158/9999, Iter 257880: Loss = 0.013942517340183258, lr = [5e-05] +[2024-05-21 13:49:41,117] - INFO: Epoch 5159/9999, Iter 257900: Loss = 0.007299669086933136, lr = [5e-05] +[2024-05-21 13:50:09,009] - INFO: Epoch 5159/9999, Iter 257920: Loss = 0.011785127222537994, lr = [5e-05] +[2024-05-21 13:50:37,526] - INFO: Epoch 5159/9999, Iter 257940: Loss = 0.012191335670650005, lr = [5e-05] +[2024-05-21 13:51:05,863] - INFO: Epoch 5160/9999, Iter 257960: Loss = 0.00866776518523693, lr = [5e-05] +[2024-05-21 13:51:33,683] - INFO: Epoch 5160/9999, Iter 257980: Loss = 0.012828776612877846, lr = [5e-05] +[2024-05-21 13:51:59,689] - INFO: Evaluate at epoch 5160! +[2024-05-21 13:52:03,773] - INFO: Eval PSNR (max): 38.031 (5115) SSIM (max): 0.9610 (5090) +[2024-05-21 13:52:03,773] - INFO: Eval PSNR (current): 37.999 (5160) SSIM (current): 0.9609 (5160) +[2024-05-21 13:52:03,773] - INFO: Evaluation over. +[2024-05-21 13:52:08,069] - INFO: Epoch 5161/9999, Iter 258000: Loss = 0.01608109287917614, lr = [5e-05] +[2024-05-21 13:52:35,878] - INFO: Epoch 5161/9999, Iter 258020: Loss = 0.014115343801677227, lr = [5e-05] +[2024-05-21 13:53:04,067] - INFO: Epoch 5161/9999, Iter 258040: Loss = 0.012533497996628284, lr = [5e-05] +[2024-05-21 13:53:32,267] - INFO: Epoch 5162/9999, Iter 258060: Loss = 0.020997215062379837, lr = [5e-05] +[2024-05-21 13:54:00,623] - INFO: Epoch 5162/9999, Iter 258080: Loss = 0.01425275206565857, lr = [5e-05] +[2024-05-21 13:54:29,075] - INFO: Epoch 5163/9999, Iter 258100: Loss = 0.0125786317512393, lr = [5e-05] +[2024-05-21 13:54:56,687] - INFO: Epoch 5163/9999, Iter 258120: Loss = 0.014838014729321003, lr = [5e-05] +[2024-05-21 13:55:25,261] - INFO: Epoch 5163/9999, Iter 258140: Loss = 0.013934148475527763, lr = [5e-05] +[2024-05-21 13:55:53,371] - INFO: Epoch 5164/9999, Iter 258160: Loss = 0.010961802676320076, lr = [5e-05] +[2024-05-21 13:56:20,666] - INFO: Epoch 5164/9999, Iter 258180: Loss = 0.014865327626466751, lr = [5e-05] +[2024-05-21 13:56:50,017] - INFO: Epoch 5165/9999, Iter 258200: Loss = 0.010995562188327312, lr = [5e-05] +[2024-05-21 13:57:17,734] - INFO: Epoch 5165/9999, Iter 258220: Loss = 0.014920393005013466, lr = [5e-05] +[2024-05-21 13:57:45,687] - INFO: Epoch 5165/9999, Iter 258240: Loss = 0.009681192226707935, lr = [5e-05] +[2024-05-21 13:57:58,205] - INFO: Evaluate at epoch 5165! +[2024-05-21 13:58:02,294] - INFO: Eval PSNR (max): 38.031 (5115) SSIM (max): 0.9610 (5090) +[2024-05-21 13:58:02,295] - INFO: Eval PSNR (current): 38.005 (5165) SSIM (current): 0.9609 (5165) +[2024-05-21 13:58:02,295] - INFO: Evaluation over. +[2024-05-21 13:58:20,839] - INFO: Epoch 5166/9999, Iter 258260: Loss = 0.016490651294589043, lr = [5e-05] +[2024-05-21 13:58:48,841] - INFO: Epoch 5166/9999, Iter 258280: Loss = 0.013310108333826065, lr = [5e-05] +[2024-05-21 13:59:17,799] - INFO: Epoch 5167/9999, Iter 258300: Loss = 0.016891244798898697, lr = [5e-05] +[2024-05-21 13:59:45,159] - INFO: Epoch 5167/9999, Iter 258320: Loss = 0.010539840906858444, lr = [5e-05] +[2024-05-21 14:00:11,987] - INFO: Epoch 5167/9999, Iter 258340: Loss = 0.011026764288544655, lr = [5e-05] +[2024-05-21 14:00:41,439] - INFO: Epoch 5168/9999, Iter 258360: Loss = 0.012856845743954182, lr = [5e-05] +[2024-05-21 14:01:08,380] - INFO: Epoch 5168/9999, Iter 258380: Loss = 0.01715993508696556, lr = [5e-05] +[2024-05-21 14:01:37,018] - INFO: Epoch 5169/9999, Iter 258400: Loss = 0.013752824626863003, lr = [5e-05] +[2024-05-21 14:02:04,542] - INFO: Epoch 5169/9999, Iter 258420: Loss = 0.022019430994987488, lr = [5e-05] +[2024-05-21 14:02:32,183] - INFO: Epoch 5169/9999, Iter 258440: Loss = 0.012864927761256695, lr = [5e-05] +[2024-05-21 14:03:00,824] - INFO: Epoch 5170/9999, Iter 258460: Loss = 0.01484517939388752, lr = [5e-05] +[2024-05-21 14:03:28,719] - INFO: Epoch 5170/9999, Iter 258480: Loss = 0.010152415372431278, lr = [5e-05] +[2024-05-21 14:03:54,682] - INFO: Evaluate at epoch 5170! +[2024-05-21 14:03:58,841] - INFO: Eval PSNR (max): 38.031 (5115) SSIM (max): 0.9610 (5090) +[2024-05-21 14:03:58,841] - INFO: Eval PSNR (current): 38.007 (5170) SSIM (current): 0.9608 (5170) +[2024-05-21 14:03:58,841] - INFO: Evaluation over. +[2024-05-21 14:04:03,409] - INFO: Epoch 5171/9999, Iter 258500: Loss = 0.011496691033244133, lr = [5e-05] +[2024-05-21 14:04:31,188] - INFO: Epoch 5171/9999, Iter 258520: Loss = 0.011134873144328594, lr = [5e-05] +[2024-05-21 14:04:58,847] - INFO: Epoch 5171/9999, Iter 258540: Loss = 0.011131401173770428, lr = [5e-05] +[2024-05-21 14:05:28,323] - INFO: Epoch 5172/9999, Iter 258560: Loss = 0.011388530023396015, lr = [5e-05] +[2024-05-21 14:05:56,258] - INFO: Epoch 5172/9999, Iter 258580: Loss = 0.011701137758791447, lr = [5e-05] +[2024-05-21 14:06:25,487] - INFO: Epoch 5173/9999, Iter 258600: Loss = 0.01098660659044981, lr = [5e-05] +[2024-05-21 14:06:54,410] - INFO: Epoch 5173/9999, Iter 258620: Loss = 0.015263119712471962, lr = [5e-05] +[2024-05-21 14:07:21,875] - INFO: Epoch 5173/9999, Iter 258640: Loss = 0.01018493715673685, lr = [5e-05] +[2024-05-21 14:07:50,565] - INFO: Epoch 5174/9999, Iter 258660: Loss = 0.020050976425409317, lr = [5e-05] +[2024-05-21 14:08:19,310] - INFO: Epoch 5174/9999, Iter 258680: Loss = 0.015473373234272003, lr = [5e-05] +[2024-05-21 14:08:48,238] - INFO: Epoch 5175/9999, Iter 258700: Loss = 0.016003385186195374, lr = [5e-05] +[2024-05-21 14:09:16,487] - INFO: Epoch 5175/9999, Iter 258720: Loss = 0.009202740155160427, lr = [5e-05] +[2024-05-21 14:09:44,408] - INFO: Epoch 5175/9999, Iter 258740: Loss = 0.011966805905103683, lr = [5e-05] +[2024-05-21 14:09:56,441] - INFO: Evaluate at epoch 5175! +[2024-05-21 14:10:00,509] - INFO: Eval PSNR (max): 38.031 (5115) SSIM (max): 0.9610 (5090) +[2024-05-21 14:10:00,510] - INFO: Eval PSNR (current): 37.950 (5175) SSIM (current): 0.9606 (5175) +[2024-05-21 14:10:00,510] - INFO: Evaluation over. +[2024-05-21 14:10:19,299] - INFO: Epoch 5176/9999, Iter 258760: Loss = 0.01849934458732605, lr = [5e-05] +[2024-05-21 14:10:47,526] - INFO: Epoch 5176/9999, Iter 258780: Loss = 0.01240727212280035, lr = [5e-05] +[2024-05-21 14:11:16,628] - INFO: Epoch 5177/9999, Iter 258800: Loss = 0.0072119757533073425, lr = [5e-05] +[2024-05-21 14:11:45,086] - INFO: Epoch 5177/9999, Iter 258820: Loss = 0.011145670898258686, lr = [5e-05] +[2024-05-21 14:12:13,597] - INFO: Epoch 5177/9999, Iter 258840: Loss = 0.012481989338994026, lr = [5e-05] +[2024-05-21 14:12:42,679] - INFO: Epoch 5178/9999, Iter 258860: Loss = 0.014638373628258705, lr = [5e-05] +[2024-05-21 14:13:10,715] - INFO: Epoch 5178/9999, Iter 258880: Loss = 0.012360959313809872, lr = [5e-05] +[2024-05-21 14:13:39,618] - INFO: Epoch 5179/9999, Iter 258900: Loss = 0.007294351235032082, lr = [5e-05] +[2024-05-21 14:14:08,391] - INFO: Epoch 5179/9999, Iter 258920: Loss = 0.013411886990070343, lr = [5e-05] +[2024-05-21 14:14:35,947] - INFO: Epoch 5179/9999, Iter 258940: Loss = 0.011302166618406773, lr = [5e-05] +[2024-05-21 14:15:05,199] - INFO: Epoch 5180/9999, Iter 258960: Loss = 0.011224256828427315, lr = [5e-05] +[2024-05-21 14:15:32,859] - INFO: Epoch 5180/9999, Iter 258980: Loss = 0.01528841257095337, lr = [5e-05] +[2024-05-21 14:15:59,494] - INFO: Evaluate at epoch 5180! +[2024-05-21 14:16:03,608] - INFO: Eval PSNR (max): 38.031 (5115) SSIM (max): 0.9610 (5090) +[2024-05-21 14:16:03,609] - INFO: Eval PSNR (current): 38.006 (5180) SSIM (current): 0.9608 (5180) +[2024-05-21 14:16:03,609] - INFO: Evaluation over. +[2024-05-21 14:16:08,203] - INFO: Epoch 5181/9999, Iter 259000: Loss = 0.010348671115934849, lr = [5e-05] +[2024-05-21 14:16:35,601] - INFO: Epoch 5181/9999, Iter 259020: Loss = 0.016858169808983803, lr = [5e-05] +[2024-05-21 14:17:04,307] - INFO: Epoch 5181/9999, Iter 259040: Loss = 0.015322673134505749, lr = [5e-05] +[2024-05-21 14:17:33,444] - INFO: Epoch 5182/9999, Iter 259060: Loss = 0.007762948516756296, lr = [5e-05] +[2024-05-21 14:18:01,403] - INFO: Epoch 5182/9999, Iter 259080: Loss = 0.014316774904727936, lr = [5e-05] +[2024-05-21 14:18:30,159] - INFO: Epoch 5183/9999, Iter 259100: Loss = 0.01616428792476654, lr = [5e-05] +[2024-05-21 14:18:57,590] - INFO: Epoch 5183/9999, Iter 259120: Loss = 0.009501607157289982, lr = [5e-05] +[2024-05-21 14:19:24,938] - INFO: Epoch 5183/9999, Iter 259140: Loss = 0.010468299500644207, lr = [5e-05] +[2024-05-21 14:19:53,619] - INFO: Epoch 5184/9999, Iter 259160: Loss = 0.009286964312195778, lr = [5e-05] +[2024-05-21 14:20:20,375] - INFO: Epoch 5184/9999, Iter 259180: Loss = 0.016153628006577492, lr = [5e-05] +[2024-05-21 14:20:49,945] - INFO: Epoch 5185/9999, Iter 259200: Loss = 0.016661537811160088, lr = [5e-05] +[2024-05-21 14:21:16,559] - INFO: Epoch 5185/9999, Iter 259220: Loss = 0.014669734053313732, lr = [5e-05] +[2024-05-21 14:21:44,003] - INFO: Epoch 5185/9999, Iter 259240: Loss = 0.01080147735774517, lr = [5e-05] +[2024-05-21 14:21:56,502] - INFO: Evaluate at epoch 5185! +[2024-05-21 14:22:00,533] - INFO: Eval PSNR (max): 38.031 (5115) SSIM (max): 0.9610 (5090) +[2024-05-21 14:22:00,533] - INFO: Eval PSNR (current): 38.005 (5185) SSIM (current): 0.9608 (5185) +[2024-05-21 14:22:00,533] - INFO: Evaluation over. +[2024-05-21 14:22:18,608] - INFO: Epoch 5186/9999, Iter 259260: Loss = 0.017936894670128822, lr = [5e-05] +[2024-05-21 14:22:46,424] - INFO: Epoch 5186/9999, Iter 259280: Loss = 0.01883241906762123, lr = [5e-05] +[2024-05-21 14:23:15,110] - INFO: Epoch 5187/9999, Iter 259300: Loss = 0.012712599709630013, lr = [5e-05] +[2024-05-21 14:23:42,915] - INFO: Epoch 5187/9999, Iter 259320: Loss = 0.013118189759552479, lr = [5e-05] +[2024-05-21 14:24:10,663] - INFO: Epoch 5187/9999, Iter 259340: Loss = 0.013074494898319244, lr = [5e-05] +[2024-05-21 14:24:39,597] - INFO: Epoch 5188/9999, Iter 259360: Loss = 0.012899464927613735, lr = [5e-05] +[2024-05-21 14:25:07,051] - INFO: Epoch 5188/9999, Iter 259380: Loss = 0.011938444338738918, lr = [5e-05] +[2024-05-21 14:25:36,179] - INFO: Epoch 5189/9999, Iter 259400: Loss = 0.009905538521707058, lr = [5e-05] +[2024-05-21 14:26:03,727] - INFO: Epoch 5189/9999, Iter 259420: Loss = 0.00998200848698616, lr = [5e-05] +[2024-05-21 14:26:30,423] - INFO: Epoch 5189/9999, Iter 259440: Loss = 0.009811419993638992, lr = [5e-05] +[2024-05-21 14:27:00,134] - INFO: Epoch 5190/9999, Iter 259460: Loss = 0.015013585798442364, lr = [5e-05] +[2024-05-21 14:27:28,323] - INFO: Epoch 5190/9999, Iter 259480: Loss = 0.014540047384798527, lr = [5e-05] +[2024-05-21 14:27:53,620] - INFO: Evaluate at epoch 5190! +[2024-05-21 14:27:57,626] - INFO: Eval PSNR (max): 38.031 (5115) SSIM (max): 0.9610 (5090) +[2024-05-21 14:27:57,626] - INFO: Eval PSNR (current): 38.020 (5190) SSIM (current): 0.9608 (5190) +[2024-05-21 14:27:57,626] - INFO: Evaluation over. +[2024-05-21 14:28:02,170] - INFO: Epoch 5191/9999, Iter 259500: Loss = 0.01738099753856659, lr = [5e-05] +[2024-05-21 14:28:29,484] - INFO: Epoch 5191/9999, Iter 259520: Loss = 0.026071464642882347, lr = [5e-05] +[2024-05-21 14:28:57,242] - INFO: Epoch 5191/9999, Iter 259540: Loss = 0.01107405312359333, lr = [5e-05] +[2024-05-21 14:29:26,582] - INFO: Epoch 5192/9999, Iter 259560: Loss = 0.016281884163618088, lr = [5e-05] +[2024-05-21 14:29:53,727] - INFO: Epoch 5192/9999, Iter 259580: Loss = 0.009291529655456543, lr = [5e-05] +[2024-05-21 14:30:22,443] - INFO: Epoch 5193/9999, Iter 259600: Loss = 0.01162781286984682, lr = [5e-05] +[2024-05-21 14:30:49,903] - INFO: Epoch 5193/9999, Iter 259620: Loss = 0.01419552881270647, lr = [5e-05] +[2024-05-21 14:31:18,502] - INFO: Epoch 5193/9999, Iter 259640: Loss = 0.014158761128783226, lr = [5e-05] +[2024-05-21 14:31:46,619] - INFO: Epoch 5194/9999, Iter 259660: Loss = 0.012584030628204346, lr = [5e-05] +[2024-05-21 14:32:13,838] - INFO: Epoch 5194/9999, Iter 259680: Loss = 0.011304191313683987, lr = [5e-05] +[2024-05-21 14:32:43,397] - INFO: Epoch 5195/9999, Iter 259700: Loss = 0.012507504783570766, lr = [5e-05] +[2024-05-21 14:33:11,827] - INFO: Epoch 5195/9999, Iter 259720: Loss = 0.018623949959874153, lr = [5e-05] +[2024-05-21 14:33:39,547] - INFO: Epoch 5195/9999, Iter 259740: Loss = 0.015991274267435074, lr = [5e-05] +[2024-05-21 14:33:51,675] - INFO: Evaluate at epoch 5195! +[2024-05-21 14:33:55,754] - INFO: Eval PSNR (max): 38.031 (5115) SSIM (max): 0.9610 (5090) +[2024-05-21 14:33:55,754] - INFO: Eval PSNR (current): 38.003 (5195) SSIM (current): 0.9609 (5195) +[2024-05-21 14:33:55,754] - INFO: Evaluation over. +[2024-05-21 14:34:14,111] - INFO: Epoch 5196/9999, Iter 259760: Loss = 0.010514895431697369, lr = [5e-05] +[2024-05-21 14:34:41,574] - INFO: Epoch 5196/9999, Iter 259780: Loss = 0.016678739339113235, lr = [5e-05] +[2024-05-21 14:35:10,130] - INFO: Epoch 5197/9999, Iter 259800: Loss = 0.008619029074907303, lr = [5e-05] +[2024-05-21 14:35:37,881] - INFO: Epoch 5197/9999, Iter 259820: Loss = 0.01048597227782011, lr = [5e-05] +[2024-05-21 14:36:05,683] - INFO: Epoch 5197/9999, Iter 259840: Loss = 0.012376604601740837, lr = [5e-05] +[2024-05-21 14:36:34,529] - INFO: Epoch 5198/9999, Iter 259860: Loss = 0.01624923385679722, lr = [5e-05] +[2024-05-21 14:37:01,100] - INFO: Epoch 5198/9999, Iter 259880: Loss = 0.012127279303967953, lr = [5e-05] +[2024-05-21 14:37:30,078] - INFO: Epoch 5199/9999, Iter 259900: Loss = 0.010964772664010525, lr = [5e-05] +[2024-05-21 14:37:57,779] - INFO: Epoch 5199/9999, Iter 259920: Loss = 0.013273494318127632, lr = [5e-05] +[2024-05-21 14:38:25,491] - INFO: Epoch 5199/9999, Iter 259940: Loss = 0.015154593624174595, lr = [5e-05] +[2024-05-21 14:38:55,719] - INFO: Epoch 5200/9999, Iter 259960: Loss = 0.014755354262888432, lr = [5e-05] +[2024-05-21 14:39:22,239] - INFO: Epoch 5200/9999, Iter 259980: Loss = 0.012020965106785297, lr = [5e-05] +[2024-05-21 14:39:48,903] - INFO: Evaluate at epoch 5200! +[2024-05-21 14:39:54,552] - INFO: Eval PSNR (max): 38.035 (5200) SSIM (max): 0.9610 (5090) +[2024-05-21 14:39:54,553] - INFO: Eval PSNR (current): 38.035 (5200) SSIM (current): 0.9609 (5200) +[2024-05-21 14:39:54,553] - INFO: Evaluation over. +[2024-05-21 14:39:59,174] - INFO: Epoch 5201/9999, Iter 260000: Loss = 0.01066057849675417, lr = [5e-05] +[2024-05-21 14:40:27,758] - INFO: Epoch 5201/9999, Iter 260020: Loss = 0.011434539221227169, lr = [5e-05] +[2024-05-21 14:40:55,750] - INFO: Epoch 5201/9999, Iter 260040: Loss = 0.008939911611378193, lr = [5e-05] +[2024-05-21 14:41:24,343] - INFO: Epoch 5202/9999, Iter 260060: Loss = 0.011829262599349022, lr = [5e-05] +[2024-05-21 14:41:52,570] - INFO: Epoch 5202/9999, Iter 260080: Loss = 0.012694692239165306, lr = [5e-05] +[2024-05-21 14:42:21,102] - INFO: Epoch 5203/9999, Iter 260100: Loss = 0.011664112098515034, lr = [5e-05] +[2024-05-21 14:42:47,956] - INFO: Epoch 5203/9999, Iter 260120: Loss = 0.012024695053696632, lr = [5e-05] +[2024-05-21 14:43:15,215] - INFO: Epoch 5203/9999, Iter 260140: Loss = 0.012553608044981956, lr = [5e-05] +[2024-05-21 14:43:44,896] - INFO: Epoch 5204/9999, Iter 260160: Loss = 0.01417116541415453, lr = [5e-05] +[2024-05-21 14:44:12,731] - INFO: Epoch 5204/9999, Iter 260180: Loss = 0.015568364411592484, lr = [5e-05] +[2024-05-21 14:44:41,461] - INFO: Epoch 5205/9999, Iter 260200: Loss = 0.01220341119915247, lr = [5e-05] +[2024-05-21 14:45:08,372] - INFO: Epoch 5205/9999, Iter 260220: Loss = 0.01246639247983694, lr = [5e-05] +[2024-05-21 14:45:35,759] - INFO: Epoch 5205/9999, Iter 260240: Loss = 0.014048389159142971, lr = [5e-05] +[2024-05-21 14:45:48,149] - INFO: Evaluate at epoch 5205! +[2024-05-21 14:45:52,155] - INFO: Eval PSNR (max): 38.035 (5200) SSIM (max): 0.9610 (5090) +[2024-05-21 14:45:52,156] - INFO: Eval PSNR (current): 38.030 (5205) SSIM (current): 0.9609 (5205) +[2024-05-21 14:45:52,156] - INFO: Evaluation over. +[2024-05-21 14:46:10,443] - INFO: Epoch 5206/9999, Iter 260260: Loss = 0.009996813721954823, lr = [5e-05] +[2024-05-21 14:46:37,371] - INFO: Epoch 5206/9999, Iter 260280: Loss = 0.011443555355072021, lr = [5e-05] +[2024-05-21 14:47:06,523] - INFO: Epoch 5207/9999, Iter 260300: Loss = 0.01729973405599594, lr = [5e-05] +[2024-05-21 14:47:33,595] - INFO: Epoch 5207/9999, Iter 260320: Loss = 0.00734869996085763, lr = [5e-05] +[2024-05-21 14:48:00,946] - INFO: Epoch 5207/9999, Iter 260340: Loss = 0.010293317958712578, lr = [5e-05] +[2024-05-21 14:48:30,711] - INFO: Epoch 5208/9999, Iter 260360: Loss = 0.011125901713967323, lr = [5e-05] +[2024-05-21 14:48:59,133] - INFO: Epoch 5208/9999, Iter 260380: Loss = 0.013763461261987686, lr = [5e-05] +[2024-05-21 14:49:28,095] - INFO: Epoch 5209/9999, Iter 260400: Loss = 0.015192391350865364, lr = [5e-05] +[2024-05-21 14:49:55,635] - INFO: Epoch 5209/9999, Iter 260420: Loss = 0.012667196802794933, lr = [5e-05] +[2024-05-21 14:50:22,759] - INFO: Epoch 5209/9999, Iter 260440: Loss = 0.015238534659147263, lr = [5e-05] +[2024-05-21 14:50:52,308] - INFO: Epoch 5210/9999, Iter 260460: Loss = 0.014084448106586933, lr = [5e-05] +[2024-05-21 14:51:20,547] - INFO: Epoch 5210/9999, Iter 260480: Loss = 0.017943937331438065, lr = [5e-05] +[2024-05-21 14:51:46,442] - INFO: Evaluate at epoch 5210! +[2024-05-21 14:51:50,450] - INFO: Eval PSNR (max): 38.035 (5200) SSIM (max): 0.9610 (5090) +[2024-05-21 14:51:50,450] - INFO: Eval PSNR (current): 38.012 (5210) SSIM (current): 0.9608 (5210) +[2024-05-21 14:51:50,450] - INFO: Evaluation over. +[2024-05-21 14:51:55,020] - INFO: Epoch 5211/9999, Iter 260500: Loss = 0.006663779262453318, lr = [5e-05] +[2024-05-21 14:52:23,126] - INFO: Epoch 5211/9999, Iter 260520: Loss = 0.012843234464526176, lr = [5e-05] +[2024-05-21 14:52:50,160] - INFO: Epoch 5211/9999, Iter 260540: Loss = 0.01387391984462738, lr = [5e-05] +[2024-05-21 14:53:19,410] - INFO: Epoch 5212/9999, Iter 260560: Loss = 0.018905356526374817, lr = [5e-05] +[2024-05-21 14:53:47,207] - INFO: Epoch 5212/9999, Iter 260580: Loss = 0.013544289395213127, lr = [5e-05] +[2024-05-21 14:54:15,955] - INFO: Epoch 5213/9999, Iter 260600: Loss = 0.013317689299583435, lr = [5e-05] +[2024-05-21 14:54:44,580] - INFO: Epoch 5213/9999, Iter 260620: Loss = 0.013891120441257954, lr = [5e-05] +[2024-05-21 14:55:12,068] - INFO: Epoch 5213/9999, Iter 260640: Loss = 0.011039532721042633, lr = [5e-05] +[2024-05-21 14:55:40,898] - INFO: Epoch 5214/9999, Iter 260660: Loss = 0.008649954572319984, lr = [5e-05] +[2024-05-21 14:56:09,075] - INFO: Epoch 5214/9999, Iter 260680: Loss = 0.012256951071321964, lr = [5e-05] +[2024-05-21 14:56:38,003] - INFO: Epoch 5215/9999, Iter 260700: Loss = 0.009998424910008907, lr = [5e-05] +[2024-05-21 14:57:05,700] - INFO: Epoch 5215/9999, Iter 260720: Loss = 0.01293827686458826, lr = [5e-05] +[2024-05-21 14:57:33,631] - INFO: Epoch 5215/9999, Iter 260740: Loss = 0.012064479291439056, lr = [5e-05] +[2024-05-21 14:57:45,975] - INFO: Evaluate at epoch 5215! +[2024-05-21 14:57:49,982] - INFO: Eval PSNR (max): 38.035 (5200) SSIM (max): 0.9610 (5090) +[2024-05-21 14:57:49,982] - INFO: Eval PSNR (current): 38.004 (5215) SSIM (current): 0.9608 (5215) +[2024-05-21 14:57:49,982] - INFO: Evaluation over. +[2024-05-21 14:58:08,083] - INFO: Epoch 5216/9999, Iter 260760: Loss = 0.010121150873601437, lr = [5e-05] +[2024-05-21 14:58:36,103] - INFO: Epoch 5216/9999, Iter 260780: Loss = 0.013471446000039577, lr = [5e-05] +[2024-05-21 14:59:04,838] - INFO: Epoch 5217/9999, Iter 260800: Loss = 0.018043959513306618, lr = [5e-05] +[2024-05-21 14:59:32,835] - INFO: Epoch 5217/9999, Iter 260820: Loss = 0.011007283814251423, lr = [5e-05] +[2024-05-21 14:59:58,885] - INFO: Epoch 5217/9999, Iter 260840: Loss = 0.009402254596352577, lr = [5e-05] +[2024-05-21 15:00:28,255] - INFO: Epoch 5218/9999, Iter 260860: Loss = 0.008750483393669128, lr = [5e-05] +[2024-05-21 15:00:56,475] - INFO: Epoch 5218/9999, Iter 260880: Loss = 0.012913982383906841, lr = [5e-05] +[2024-05-21 15:01:25,579] - INFO: Epoch 5219/9999, Iter 260900: Loss = 0.011257339268922806, lr = [5e-05] +[2024-05-21 15:01:53,795] - INFO: Epoch 5219/9999, Iter 260920: Loss = 0.01634131744503975, lr = [5e-05] +[2024-05-21 15:02:21,191] - INFO: Epoch 5219/9999, Iter 260940: Loss = 0.009259055368602276, lr = [5e-05] +[2024-05-21 15:02:50,286] - INFO: Epoch 5220/9999, Iter 260960: Loss = 0.009873466566205025, lr = [5e-05] +[2024-05-21 15:03:17,578] - INFO: Epoch 5220/9999, Iter 260980: Loss = 0.014162342064082623, lr = [5e-05] +[2024-05-21 15:03:43,586] - INFO: Evaluate at epoch 5220! +[2024-05-21 15:03:47,598] - INFO: Eval PSNR (max): 38.035 (5200) SSIM (max): 0.9610 (5090) +[2024-05-21 15:03:47,598] - INFO: Eval PSNR (current): 38.012 (5220) SSIM (current): 0.9608 (5220) +[2024-05-21 15:03:47,598] - INFO: Evaluation over. +[2024-05-21 15:03:52,085] - INFO: Epoch 5221/9999, Iter 261000: Loss = 0.007241986691951752, lr = [5e-05] +[2024-05-21 15:04:20,163] - INFO: Epoch 5221/9999, Iter 261020: Loss = 0.012986833229660988, lr = [5e-05] +[2024-05-21 15:04:48,547] - INFO: Epoch 5221/9999, Iter 261040: Loss = 0.011666948907077312, lr = [5e-05] +[2024-05-21 15:05:17,040] - INFO: Epoch 5222/9999, Iter 261060: Loss = 0.011691742576658726, lr = [5e-05] +[2024-05-21 15:05:44,019] - INFO: Epoch 5222/9999, Iter 261080: Loss = 0.015488929115235806, lr = [5e-05] +[2024-05-21 15:06:13,630] - INFO: Epoch 5223/9999, Iter 261100: Loss = 0.012577061541378498, lr = [5e-05] +[2024-05-21 15:06:40,750] - INFO: Epoch 5223/9999, Iter 261120: Loss = 0.01379195787012577, lr = [5e-05] +[2024-05-21 15:07:08,385] - INFO: Epoch 5223/9999, Iter 261140: Loss = 0.014925502240657806, lr = [5e-05] +[2024-05-21 15:07:38,943] - INFO: Epoch 5224/9999, Iter 261160: Loss = 0.010869019664824009, lr = [5e-05] +[2024-05-21 15:08:06,791] - INFO: Epoch 5224/9999, Iter 261180: Loss = 0.0075746444053947926, lr = [5e-05] +[2024-05-21 15:08:35,226] - INFO: Epoch 5225/9999, Iter 261200: Loss = 0.01204394455999136, lr = [5e-05] +[2024-05-21 15:09:03,799] - INFO: Epoch 5225/9999, Iter 261220: Loss = 0.017464404925704002, lr = [5e-05] +[2024-05-21 15:09:31,736] - INFO: Epoch 5225/9999, Iter 261240: Loss = 0.014704490080475807, lr = [5e-05] +[2024-05-21 15:09:43,432] - INFO: Evaluate at epoch 5225! +[2024-05-21 15:09:47,440] - INFO: Eval PSNR (max): 38.035 (5200) SSIM (max): 0.9610 (5090) +[2024-05-21 15:09:47,441] - INFO: Eval PSNR (current): 37.998 (5225) SSIM (current): 0.9608 (5225) +[2024-05-21 15:09:47,441] - INFO: Evaluation over. +[2024-05-21 15:10:05,609] - INFO: Epoch 5226/9999, Iter 261260: Loss = 0.011348302476108074, lr = [5e-05] +[2024-05-21 15:10:33,571] - INFO: Epoch 5226/9999, Iter 261280: Loss = 0.009980653412640095, lr = [5e-05] +[2024-05-21 15:11:02,091] - INFO: Epoch 5227/9999, Iter 261300: Loss = 0.01650812290608883, lr = [5e-05] +[2024-05-21 15:11:29,819] - INFO: Epoch 5227/9999, Iter 261320: Loss = 0.015547097660601139, lr = [5e-05] +[2024-05-21 15:11:57,431] - INFO: Epoch 5227/9999, Iter 261340: Loss = 0.011314134113490582, lr = [5e-05] +[2024-05-21 15:12:26,795] - INFO: Epoch 5228/9999, Iter 261360: Loss = 0.015114245004951954, lr = [5e-05] +[2024-05-21 15:12:53,872] - INFO: Epoch 5228/9999, Iter 261380: Loss = 0.011505674570798874, lr = [5e-05] +[2024-05-21 15:13:22,539] - INFO: Epoch 5229/9999, Iter 261400: Loss = 0.010535549372434616, lr = [5e-05] +[2024-05-21 15:13:51,282] - INFO: Epoch 5229/9999, Iter 261420: Loss = 0.010207911022007465, lr = [5e-05] +[2024-05-21 15:14:19,191] - INFO: Epoch 5229/9999, Iter 261440: Loss = 0.012198000214993954, lr = [5e-05] +[2024-05-21 15:14:47,928] - INFO: Epoch 5230/9999, Iter 261460: Loss = 0.009540723636746407, lr = [5e-05] +[2024-05-21 15:15:15,725] - INFO: Epoch 5230/9999, Iter 261480: Loss = 0.011959992349147797, lr = [5e-05] +[2024-05-21 15:15:42,115] - INFO: Evaluate at epoch 5230! +[2024-05-21 15:15:46,122] - INFO: Eval PSNR (max): 38.035 (5200) SSIM (max): 0.9610 (5090) +[2024-05-21 15:15:46,122] - INFO: Eval PSNR (current): 38.020 (5230) SSIM (current): 0.9609 (5230) +[2024-05-21 15:15:46,122] - INFO: Evaluation over. +[2024-05-21 15:15:50,867] - INFO: Epoch 5231/9999, Iter 261500: Loss = 0.012136412784457207, lr = [5e-05] +[2024-05-21 15:16:18,926] - INFO: Epoch 5231/9999, Iter 261520: Loss = 0.012079941108822823, lr = [5e-05] +[2024-05-21 15:16:46,551] - INFO: Epoch 5231/9999, Iter 261540: Loss = 0.01293302234262228, lr = [5e-05] +[2024-05-21 15:17:15,779] - INFO: Epoch 5232/9999, Iter 261560: Loss = 0.014231273904442787, lr = [5e-05] +[2024-05-21 15:17:43,780] - INFO: Epoch 5232/9999, Iter 261580: Loss = 0.009249774739146233, lr = [5e-05] +[2024-05-21 15:18:11,854] - INFO: Epoch 5233/9999, Iter 261600: Loss = 0.007957050576806068, lr = [5e-05] +[2024-05-21 15:18:39,339] - INFO: Epoch 5233/9999, Iter 261620: Loss = 0.014458755031228065, lr = [5e-05] +[2024-05-21 15:19:07,999] - INFO: Epoch 5233/9999, Iter 261640: Loss = 0.010197201743721962, lr = [5e-05] +[2024-05-21 15:19:36,865] - INFO: Epoch 5234/9999, Iter 261660: Loss = 0.011271925643086433, lr = [5e-05] +[2024-05-21 15:20:05,275] - INFO: Epoch 5234/9999, Iter 261680: Loss = 0.012023852206766605, lr = [5e-05] +[2024-05-21 15:20:33,851] - INFO: Epoch 5235/9999, Iter 261700: Loss = 0.011808495037257671, lr = [5e-05] +[2024-05-21 15:21:01,435] - INFO: Epoch 5235/9999, Iter 261720: Loss = 0.011361561715602875, lr = [5e-05] +[2024-05-21 15:21:28,655] - INFO: Epoch 5235/9999, Iter 261740: Loss = 0.010500355623662472, lr = [5e-05] +[2024-05-21 15:21:41,785] - INFO: Evaluate at epoch 5235! +[2024-05-21 15:21:45,780] - INFO: Eval PSNR (max): 38.035 (5200) SSIM (max): 0.9610 (5090) +[2024-05-21 15:21:45,780] - INFO: Eval PSNR (current): 38.017 (5235) SSIM (current): 0.9608 (5235) +[2024-05-21 15:21:45,780] - INFO: Evaluation over. +[2024-05-21 15:22:04,011] - INFO: Epoch 5236/9999, Iter 261760: Loss = 0.01672259345650673, lr = [5e-05] +[2024-05-21 15:22:31,514] - INFO: Epoch 5236/9999, Iter 261780: Loss = 0.01278496254235506, lr = [5e-05] +[2024-05-21 15:23:01,035] - INFO: Epoch 5237/9999, Iter 261800: Loss = 0.01882234960794449, lr = [5e-05] +[2024-05-21 15:23:29,518] - INFO: Epoch 5237/9999, Iter 261820: Loss = 0.010159873403608799, lr = [5e-05] +[2024-05-21 15:23:57,056] - INFO: Epoch 5237/9999, Iter 261840: Loss = 0.012459160760045052, lr = [5e-05] +[2024-05-21 15:24:25,362] - INFO: Epoch 5238/9999, Iter 261860: Loss = 0.009222008287906647, lr = [5e-05] +[2024-05-21 15:24:53,558] - INFO: Epoch 5238/9999, Iter 261880: Loss = 0.016121650114655495, lr = [5e-05] +[2024-05-21 15:25:22,668] - INFO: Epoch 5239/9999, Iter 261900: Loss = 0.01137942261993885, lr = [5e-05] +[2024-05-21 15:25:50,655] - INFO: Epoch 5239/9999, Iter 261920: Loss = 0.012179115787148476, lr = [5e-05] +[2024-05-21 15:26:18,642] - INFO: Epoch 5239/9999, Iter 261940: Loss = 0.01368975080549717, lr = [5e-05] +[2024-05-21 15:26:46,771] - INFO: Epoch 5240/9999, Iter 261960: Loss = 0.01319467555731535, lr = [5e-05] +[2024-05-21 15:27:13,267] - INFO: Epoch 5240/9999, Iter 261980: Loss = 0.01963045261800289, lr = [5e-05] +[2024-05-21 15:27:39,329] - INFO: Evaluate at epoch 5240! +[2024-05-21 15:27:43,412] - INFO: Eval PSNR (max): 38.035 (5200) SSIM (max): 0.9610 (5090) +[2024-05-21 15:27:43,412] - INFO: Eval PSNR (current): 37.997 (5240) SSIM (current): 0.9609 (5240) +[2024-05-21 15:27:43,412] - INFO: Evaluation over. +[2024-05-21 15:27:47,962] - INFO: Epoch 5241/9999, Iter 262000: Loss = 0.01684446446597576, lr = [5e-05] +[2024-05-21 15:28:15,492] - INFO: Epoch 5241/9999, Iter 262020: Loss = 0.01194842904806137, lr = [5e-05] +[2024-05-21 15:28:44,183] - INFO: Epoch 5241/9999, Iter 262040: Loss = 0.011757295578718185, lr = [5e-05] +[2024-05-21 15:29:13,311] - INFO: Epoch 5242/9999, Iter 262060: Loss = 0.015416538342833519, lr = [5e-05] +[2024-05-21 15:29:41,427] - INFO: Epoch 5242/9999, Iter 262080: Loss = 0.009520059451460838, lr = [5e-05] +[2024-05-21 15:30:10,556] - INFO: Epoch 5243/9999, Iter 262100: Loss = 0.0142892487347126, lr = [5e-05] +[2024-05-21 15:30:39,303] - INFO: Epoch 5243/9999, Iter 262120: Loss = 0.011360011994838715, lr = [5e-05] +[2024-05-21 15:31:06,433] - INFO: Epoch 5243/9999, Iter 262140: Loss = 0.011124085634946823, lr = [5e-05] +[2024-05-21 15:31:35,094] - INFO: Epoch 5244/9999, Iter 262160: Loss = 0.01250519696623087, lr = [5e-05] +[2024-05-21 15:32:02,255] - INFO: Epoch 5244/9999, Iter 262180: Loss = 0.013270176947116852, lr = [5e-05] +[2024-05-21 15:32:31,191] - INFO: Epoch 5245/9999, Iter 262200: Loss = 0.018514707684516907, lr = [5e-05] +[2024-05-21 15:32:58,275] - INFO: Epoch 5245/9999, Iter 262220: Loss = 0.01590801030397415, lr = [5e-05] +[2024-05-21 15:33:25,731] - INFO: Epoch 5245/9999, Iter 262240: Loss = 0.011007898487150669, lr = [5e-05] +[2024-05-21 15:33:37,992] - INFO: Evaluate at epoch 5245! +[2024-05-21 15:33:42,002] - INFO: Eval PSNR (max): 38.035 (5200) SSIM (max): 0.9610 (5090) +[2024-05-21 15:33:42,003] - INFO: Eval PSNR (current): 37.993 (5245) SSIM (current): 0.9608 (5245) +[2024-05-21 15:33:42,003] - INFO: Evaluation over. +[2024-05-21 15:34:00,400] - INFO: Epoch 5246/9999, Iter 262260: Loss = 0.008795181289315224, lr = [5e-05] +[2024-05-21 15:34:28,875] - INFO: Epoch 5246/9999, Iter 262280: Loss = 0.010429578833281994, lr = [5e-05] +[2024-05-21 15:34:57,855] - INFO: Epoch 5247/9999, Iter 262300: Loss = 0.01150382962077856, lr = [5e-05] +[2024-05-21 15:35:25,813] - INFO: Epoch 5247/9999, Iter 262320: Loss = 0.011760495603084564, lr = [5e-05] +[2024-05-21 15:35:52,335] - INFO: Epoch 5247/9999, Iter 262340: Loss = 0.016470152884721756, lr = [5e-05] +[2024-05-21 15:36:20,719] - INFO: Epoch 5248/9999, Iter 262360: Loss = 0.01340770535171032, lr = [5e-05] +[2024-05-21 15:36:48,231] - INFO: Epoch 5248/9999, Iter 262380: Loss = 0.01234286930412054, lr = [5e-05] +[2024-05-21 15:37:17,634] - INFO: Epoch 5249/9999, Iter 262400: Loss = 0.016129817813634872, lr = [5e-05] +[2024-05-21 15:37:46,051] - INFO: Epoch 5249/9999, Iter 262420: Loss = 0.010814503766596317, lr = [5e-05] +[2024-05-21 15:38:13,518] - INFO: Epoch 5249/9999, Iter 262440: Loss = 0.010589315555989742, lr = [5e-05] +[2024-05-21 15:38:43,199] - INFO: Epoch 5250/9999, Iter 262460: Loss = 0.014080469496548176, lr = [5e-05] +[2024-05-21 15:39:11,240] - INFO: Epoch 5250/9999, Iter 262480: Loss = 0.012408437207341194, lr = [5e-05] +[2024-05-21 15:39:37,421] - INFO: Evaluate at epoch 5250! +[2024-05-21 15:39:41,430] - INFO: Eval PSNR (max): 38.035 (5200) SSIM (max): 0.9610 (5090) +[2024-05-21 15:39:41,431] - INFO: Eval PSNR (current): 37.937 (5250) SSIM (current): 0.9608 (5250) +[2024-05-21 15:39:41,431] - INFO: Evaluation over. +[2024-05-21 15:39:45,615] - INFO: Epoch 5251/9999, Iter 262500: Loss = 0.013437860645353794, lr = [5e-05] +[2024-05-21 15:40:13,351] - INFO: Epoch 5251/9999, Iter 262520: Loss = 0.01576218754053116, lr = [5e-05] +[2024-05-21 15:40:41,431] - INFO: Epoch 5251/9999, Iter 262540: Loss = 0.01569581776857376, lr = [5e-05] +[2024-05-21 15:41:10,026] - INFO: Epoch 5252/9999, Iter 262560: Loss = 0.009221983142197132, lr = [5e-05] +[2024-05-21 15:41:37,319] - INFO: Epoch 5252/9999, Iter 262580: Loss = 0.007828166708350182, lr = [5e-05] +[2024-05-21 15:42:06,737] - INFO: Epoch 5253/9999, Iter 262600: Loss = 0.013858959078788757, lr = [5e-05] +[2024-05-21 15:42:35,144] - INFO: Epoch 5253/9999, Iter 262620: Loss = 0.01460183598101139, lr = [5e-05] +[2024-05-21 15:43:02,747] - INFO: Epoch 5253/9999, Iter 262640: Loss = 0.015859320759773254, lr = [5e-05] +[2024-05-21 15:43:31,787] - INFO: Epoch 5254/9999, Iter 262660: Loss = 0.011827649548649788, lr = [5e-05] +[2024-05-21 15:43:58,227] - INFO: Epoch 5254/9999, Iter 262680: Loss = 0.012175831943750381, lr = [5e-05] +[2024-05-21 15:44:28,035] - INFO: Epoch 5255/9999, Iter 262700: Loss = 0.011957732029259205, lr = [5e-05] +[2024-05-21 15:44:55,114] - INFO: Epoch 5255/9999, Iter 262720: Loss = 0.009533273987472057, lr = [5e-05] +[2024-05-21 15:45:22,877] - INFO: Epoch 5255/9999, Iter 262740: Loss = 0.008619692176580429, lr = [5e-05] +[2024-05-21 15:45:35,353] - INFO: Evaluate at epoch 5255! +[2024-05-21 15:45:39,535] - INFO: Eval PSNR (max): 38.035 (5200) SSIM (max): 0.9610 (5090) +[2024-05-21 15:45:39,535] - INFO: Eval PSNR (current): 38.011 (5255) SSIM (current): 0.9609 (5255) +[2024-05-21 15:45:39,535] - INFO: Evaluation over. +[2024-05-21 15:45:58,168] - INFO: Epoch 5256/9999, Iter 262760: Loss = 0.012242144905030727, lr = [5e-05] +[2024-05-21 15:46:27,145] - INFO: Epoch 5256/9999, Iter 262780: Loss = 0.013853097334504128, lr = [5e-05] +[2024-05-21 15:46:55,711] - INFO: Epoch 5257/9999, Iter 262800: Loss = 0.014020372182130814, lr = [5e-05] +[2024-05-21 15:47:22,639] - INFO: Epoch 5257/9999, Iter 262820: Loss = 0.014725792221724987, lr = [5e-05] +[2024-05-21 15:47:49,883] - INFO: Epoch 5257/9999, Iter 262840: Loss = 0.014247892424464226, lr = [5e-05] +[2024-05-21 15:48:19,511] - INFO: Epoch 5258/9999, Iter 262860: Loss = 0.016553206369280815, lr = [5e-05] +[2024-05-21 15:48:46,574] - INFO: Epoch 5258/9999, Iter 262880: Loss = 0.009565199725329876, lr = [5e-05] +[2024-05-21 15:49:15,411] - INFO: Epoch 5259/9999, Iter 262900: Loss = 0.00878763385117054, lr = [5e-05] +[2024-05-21 15:49:43,105] - INFO: Epoch 5259/9999, Iter 262920: Loss = 0.012903980910778046, lr = [5e-05] +[2024-05-21 15:50:10,443] - INFO: Epoch 5259/9999, Iter 262940: Loss = 0.013123968616127968, lr = [5e-05] +[2024-05-21 15:50:39,864] - INFO: Epoch 5260/9999, Iter 262960: Loss = 0.015021072700619698, lr = [5e-05] +[2024-05-21 15:51:06,370] - INFO: Epoch 5260/9999, Iter 262980: Loss = 0.01590760610997677, lr = [5e-05] +[2024-05-21 15:51:32,416] - INFO: Evaluate at epoch 5260! +[2024-05-21 15:51:36,424] - INFO: Eval PSNR (max): 38.035 (5200) SSIM (max): 0.9610 (5090) +[2024-05-21 15:51:36,424] - INFO: Eval PSNR (current): 38.027 (5260) SSIM (current): 0.9609 (5260) +[2024-05-21 15:51:36,425] - INFO: Evaluation over. +[2024-05-21 15:51:41,083] - INFO: Epoch 5261/9999, Iter 263000: Loss = 0.01514244545251131, lr = [5e-05] +[2024-05-21 15:52:09,079] - INFO: Epoch 5261/9999, Iter 263020: Loss = 0.010356291197240353, lr = [5e-05] +[2024-05-21 15:52:37,083] - INFO: Epoch 5261/9999, Iter 263040: Loss = 0.013659799471497536, lr = [5e-05] +[2024-05-21 15:53:05,907] - INFO: Epoch 5262/9999, Iter 263060: Loss = 0.011664324440062046, lr = [5e-05] +[2024-05-21 15:53:34,519] - INFO: Epoch 5262/9999, Iter 263080: Loss = 0.015796063467860222, lr = [5e-05] +[2024-05-21 15:54:03,469] - INFO: Epoch 5263/9999, Iter 263100: Loss = 0.012310338206589222, lr = [5e-05] +[2024-05-21 15:54:31,047] - INFO: Epoch 5263/9999, Iter 263120: Loss = 0.015535617247223854, lr = [5e-05] +[2024-05-21 15:54:58,285] - INFO: Epoch 5263/9999, Iter 263140: Loss = 0.008901013061404228, lr = [5e-05] +[2024-05-21 15:55:26,966] - INFO: Epoch 5264/9999, Iter 263160: Loss = 0.008747144602239132, lr = [5e-05] +[2024-05-21 15:55:53,963] - INFO: Epoch 5264/9999, Iter 263180: Loss = 0.015154862776398659, lr = [5e-05] +[2024-05-21 15:56:22,559] - INFO: Epoch 5265/9999, Iter 263200: Loss = 0.006853668950498104, lr = [5e-05] +[2024-05-21 15:56:50,211] - INFO: Epoch 5265/9999, Iter 263220: Loss = 0.012713288888335228, lr = [5e-05] +[2024-05-21 15:57:17,727] - INFO: Epoch 5265/9999, Iter 263240: Loss = 0.011102396063506603, lr = [5e-05] +[2024-05-21 15:57:30,224] - INFO: Evaluate at epoch 5265! +[2024-05-21 15:57:34,241] - INFO: Eval PSNR (max): 38.035 (5200) SSIM (max): 0.9610 (5090) +[2024-05-21 15:57:34,241] - INFO: Eval PSNR (current): 38.018 (5265) SSIM (current): 0.9609 (5265) +[2024-05-21 15:57:34,241] - INFO: Evaluation over. +[2024-05-21 15:57:52,481] - INFO: Epoch 5266/9999, Iter 263260: Loss = 0.009907819330692291, lr = [5e-05] +[2024-05-21 15:58:20,310] - INFO: Epoch 5266/9999, Iter 263280: Loss = 0.015980219468474388, lr = [5e-05] +[2024-05-21 15:58:49,266] - INFO: Epoch 5267/9999, Iter 263300: Loss = 0.01807100884616375, lr = [5e-05] +[2024-05-21 15:59:18,141] - INFO: Epoch 5267/9999, Iter 263320: Loss = 0.010246079415082932, lr = [5e-05] +[2024-05-21 15:59:44,787] - INFO: Epoch 5267/9999, Iter 263340: Loss = 0.011060654185712337, lr = [5e-05] +[2024-05-21 16:00:14,243] - INFO: Epoch 5268/9999, Iter 263360: Loss = 0.011494779027998447, lr = [5e-05] +[2024-05-21 16:00:42,571] - INFO: Epoch 5268/9999, Iter 263380: Loss = 0.02230292744934559, lr = [5e-05] +[2024-05-21 16:01:11,487] - INFO: Epoch 5269/9999, Iter 263400: Loss = 0.012996654026210308, lr = [5e-05] +[2024-05-21 16:01:39,572] - INFO: Epoch 5269/9999, Iter 263420: Loss = 0.016042817384004593, lr = [5e-05] +[2024-05-21 16:02:08,017] - INFO: Epoch 5269/9999, Iter 263440: Loss = 0.01391129195690155, lr = [5e-05] +[2024-05-21 16:02:36,636] - INFO: Epoch 5270/9999, Iter 263460: Loss = 0.015289543196558952, lr = [5e-05] +[2024-05-21 16:03:04,527] - INFO: Epoch 5270/9999, Iter 263480: Loss = 0.008791227824985981, lr = [5e-05] +[2024-05-21 16:03:30,408] - INFO: Evaluate at epoch 5270! +[2024-05-21 16:03:34,418] - INFO: Eval PSNR (max): 38.035 (5200) SSIM (max): 0.9610 (5090) +[2024-05-21 16:03:34,418] - INFO: Eval PSNR (current): 38.030 (5270) SSIM (current): 0.9609 (5270) +[2024-05-21 16:03:34,418] - INFO: Evaluation over. +[2024-05-21 16:03:39,131] - INFO: Epoch 5271/9999, Iter 263500: Loss = 0.010267816483974457, lr = [5e-05] +[2024-05-21 16:04:07,150] - INFO: Epoch 5271/9999, Iter 263520: Loss = 0.013210952281951904, lr = [5e-05] +[2024-05-21 16:04:35,027] - INFO: Epoch 5271/9999, Iter 263540: Loss = 0.011139653623104095, lr = [5e-05] +[2024-05-21 16:05:02,867] - INFO: Epoch 5272/9999, Iter 263560: Loss = 0.012245843186974525, lr = [5e-05] +[2024-05-21 16:05:30,675] - INFO: Epoch 5272/9999, Iter 263580: Loss = 0.015106313861906528, lr = [5e-05] +[2024-05-21 16:06:00,133] - INFO: Epoch 5273/9999, Iter 263600: Loss = 0.01470037642866373, lr = [5e-05] +[2024-05-21 16:06:26,730] - INFO: Epoch 5273/9999, Iter 263620: Loss = 0.008910654112696648, lr = [5e-05] +[2024-05-21 16:06:54,101] - INFO: Epoch 5273/9999, Iter 263640: Loss = 0.017221905291080475, lr = [5e-05] +[2024-05-21 16:07:23,597] - INFO: Epoch 5274/9999, Iter 263660: Loss = 0.01284841913729906, lr = [5e-05] +[2024-05-21 16:07:51,895] - INFO: Epoch 5274/9999, Iter 263680: Loss = 0.009550163522362709, lr = [5e-05] +[2024-05-21 16:08:20,223] - INFO: Epoch 5275/9999, Iter 263700: Loss = 0.009315420873463154, lr = [5e-05] +[2024-05-21 16:08:48,667] - INFO: Epoch 5275/9999, Iter 263720: Loss = 0.016905484721064568, lr = [5e-05] +[2024-05-21 16:09:16,575] - INFO: Epoch 5275/9999, Iter 263740: Loss = 0.012622629292309284, lr = [5e-05] +[2024-05-21 16:09:28,762] - INFO: Evaluate at epoch 5275! +[2024-05-21 16:09:32,759] - INFO: Eval PSNR (max): 38.035 (5200) SSIM (max): 0.9610 (5090) +[2024-05-21 16:09:32,759] - INFO: Eval PSNR (current): 37.994 (5275) SSIM (current): 0.9607 (5275) +[2024-05-21 16:09:32,759] - INFO: Evaluation over. +[2024-05-21 16:09:50,172] - INFO: Epoch 5276/9999, Iter 263760: Loss = 0.015083287842571735, lr = [5e-05] +[2024-05-21 16:10:17,359] - INFO: Epoch 5276/9999, Iter 263780: Loss = 0.015057157725095749, lr = [5e-05] +[2024-05-21 16:10:46,511] - INFO: Epoch 5277/9999, Iter 263800: Loss = 0.015260464511811733, lr = [5e-05] +[2024-05-21 16:11:14,055] - INFO: Epoch 5277/9999, Iter 263820: Loss = 0.012652602978050709, lr = [5e-05] +[2024-05-21 16:11:42,647] - INFO: Epoch 5277/9999, Iter 263840: Loss = 0.011457710526883602, lr = [5e-05] +[2024-05-21 16:12:11,523] - INFO: Epoch 5278/9999, Iter 263860: Loss = 0.013529971241950989, lr = [5e-05] +[2024-05-21 16:12:38,691] - INFO: Epoch 5278/9999, Iter 263880: Loss = 0.011388895101845264, lr = [5e-05] +[2024-05-21 16:13:07,330] - INFO: Epoch 5279/9999, Iter 263900: Loss = 0.012548263184726238, lr = [5e-05] +[2024-05-21 16:13:35,321] - INFO: Epoch 5279/9999, Iter 263920: Loss = 0.012919465079903603, lr = [5e-05] +[2024-05-21 16:14:02,119] - INFO: Epoch 5279/9999, Iter 263940: Loss = 0.01355474628508091, lr = [5e-05] +[2024-05-21 16:14:31,207] - INFO: Epoch 5280/9999, Iter 263960: Loss = 0.009351300075650215, lr = [5e-05] +[2024-05-21 16:14:58,451] - INFO: Epoch 5280/9999, Iter 263980: Loss = 0.011983370408415794, lr = [5e-05] +[2024-05-21 16:15:25,253] - INFO: Evaluate at epoch 5280! +[2024-05-21 16:15:29,343] - INFO: Eval PSNR (max): 38.035 (5200) SSIM (max): 0.9610 (5090) +[2024-05-21 16:15:29,343] - INFO: Eval PSNR (current): 37.999 (5280) SSIM (current): 0.9608 (5280) +[2024-05-21 16:15:29,343] - INFO: Evaluation over. +[2024-05-21 16:15:33,750] - INFO: Epoch 5281/9999, Iter 264000: Loss = 0.013471693731844425, lr = [5e-05] +[2024-05-21 16:16:01,043] - INFO: Epoch 5281/9999, Iter 264020: Loss = 0.017244990915060043, lr = [5e-05] +[2024-05-21 16:16:30,154] - INFO: Epoch 5281/9999, Iter 264040: Loss = 0.009709973819553852, lr = [5e-05] +[2024-05-21 16:16:58,959] - INFO: Epoch 5282/9999, Iter 264060: Loss = 0.01245837565511465, lr = [5e-05] +[2024-05-21 16:17:26,209] - INFO: Epoch 5282/9999, Iter 264080: Loss = 0.014424251392483711, lr = [5e-05] +[2024-05-21 16:17:55,626] - INFO: Epoch 5283/9999, Iter 264100: Loss = 0.014338879846036434, lr = [5e-05] +[2024-05-21 16:18:24,223] - INFO: Epoch 5283/9999, Iter 264120: Loss = 0.016768481582403183, lr = [5e-05] +[2024-05-21 16:18:53,109] - INFO: Epoch 5283/9999, Iter 264140: Loss = 0.012477528303861618, lr = [5e-05] +[2024-05-21 16:19:21,847] - INFO: Epoch 5284/9999, Iter 264160: Loss = 0.01028672605752945, lr = [5e-05] +[2024-05-21 16:19:48,742] - INFO: Epoch 5284/9999, Iter 264180: Loss = 0.00849410891532898, lr = [5e-05] +[2024-05-21 16:20:17,851] - INFO: Epoch 5285/9999, Iter 264200: Loss = 0.010720151476562023, lr = [5e-05] +[2024-05-21 16:20:44,907] - INFO: Epoch 5285/9999, Iter 264220: Loss = 0.01402698177844286, lr = [5e-05] +[2024-05-21 16:21:12,931] - INFO: Epoch 5285/9999, Iter 264240: Loss = 0.009311022236943245, lr = [5e-05] +[2024-05-21 16:21:25,610] - INFO: Evaluate at epoch 5285! +[2024-05-21 16:21:29,780] - INFO: Eval PSNR (max): 38.035 (5200) SSIM (max): 0.9610 (5090) +[2024-05-21 16:21:29,781] - INFO: Eval PSNR (current): 38.011 (5285) SSIM (current): 0.9608 (5285) +[2024-05-21 16:21:29,781] - INFO: Evaluation over. +[2024-05-21 16:21:49,015] - INFO: Epoch 5286/9999, Iter 264260: Loss = 0.013946115970611572, lr = [5e-05] +[2024-05-21 16:22:16,975] - INFO: Epoch 5286/9999, Iter 264280: Loss = 0.014323832467198372, lr = [5e-05] +[2024-05-21 16:22:46,015] - INFO: Epoch 5287/9999, Iter 264300: Loss = 0.012110674753785133, lr = [5e-05] +[2024-05-21 16:23:14,152] - INFO: Epoch 5287/9999, Iter 264320: Loss = 0.01586011052131653, lr = [5e-05] +[2024-05-21 16:23:41,499] - INFO: Epoch 5287/9999, Iter 264340: Loss = 0.010467017069458961, lr = [5e-05] +[2024-05-21 16:24:10,018] - INFO: Epoch 5288/9999, Iter 264360: Loss = 0.013054685667157173, lr = [5e-05] +[2024-05-21 16:24:36,958] - INFO: Epoch 5288/9999, Iter 264380: Loss = 0.009196171537041664, lr = [5e-05] +[2024-05-21 16:25:06,031] - INFO: Epoch 5289/9999, Iter 264400: Loss = 0.013555935584008694, lr = [5e-05] +[2024-05-21 16:25:33,683] - INFO: Epoch 5289/9999, Iter 264420: Loss = 0.014384455978870392, lr = [5e-05] +[2024-05-21 16:26:01,556] - INFO: Epoch 5289/9999, Iter 264440: Loss = 0.014196837320923805, lr = [5e-05] +[2024-05-21 16:26:30,227] - INFO: Epoch 5290/9999, Iter 264460: Loss = 0.01647300273180008, lr = [5e-05] +[2024-05-21 16:26:56,780] - INFO: Epoch 5290/9999, Iter 264480: Loss = 0.011271431110799313, lr = [5e-05] +[2024-05-21 16:27:24,153] - INFO: Evaluate at epoch 5290! +[2024-05-21 16:27:28,344] - INFO: Eval PSNR (max): 38.035 (5200) SSIM (max): 0.9610 (5090) +[2024-05-21 16:27:28,345] - INFO: Eval PSNR (current): 38.009 (5290) SSIM (current): 0.9608 (5290) +[2024-05-21 16:27:28,345] - INFO: Evaluation over. +[2024-05-21 16:27:32,739] - INFO: Epoch 5291/9999, Iter 264500: Loss = 0.008066153153777122, lr = [5e-05] +[2024-05-21 16:28:01,375] - INFO: Epoch 5291/9999, Iter 264520: Loss = 0.014175432734191418, lr = [5e-05] +[2024-05-21 16:28:28,151] - INFO: Epoch 5291/9999, Iter 264540: Loss = 0.010819555260241032, lr = [5e-05] +[2024-05-21 16:28:57,963] - INFO: Epoch 5292/9999, Iter 264560: Loss = 0.008137624710798264, lr = [5e-05] +[2024-05-21 16:29:25,126] - INFO: Epoch 5292/9999, Iter 264580: Loss = 0.012800539843738079, lr = [5e-05] +[2024-05-21 16:29:53,587] - INFO: Epoch 5293/9999, Iter 264600: Loss = 0.01793471910059452, lr = [5e-05] +[2024-05-21 16:30:22,524] - INFO: Epoch 5293/9999, Iter 264620: Loss = 0.012953389436006546, lr = [5e-05] +[2024-05-21 16:30:50,102] - INFO: Epoch 5293/9999, Iter 264640: Loss = 0.017328722402453423, lr = [5e-05] +[2024-05-21 16:31:19,383] - INFO: Epoch 5294/9999, Iter 264660: Loss = 0.011691371910274029, lr = [5e-05] +[2024-05-21 16:31:46,702] - INFO: Epoch 5294/9999, Iter 264680: Loss = 0.016424179077148438, lr = [5e-05] +[2024-05-21 16:32:15,539] - INFO: Epoch 5295/9999, Iter 264700: Loss = 0.014250463806092739, lr = [5e-05] +[2024-05-21 16:32:42,812] - INFO: Epoch 5295/9999, Iter 264720: Loss = 0.011484302580356598, lr = [5e-05] +[2024-05-21 16:33:11,067] - INFO: Epoch 5295/9999, Iter 264740: Loss = 0.01106797344982624, lr = [5e-05] +[2024-05-21 16:33:22,988] - INFO: Evaluate at epoch 5295! +[2024-05-21 16:33:27,186] - INFO: Eval PSNR (max): 38.035 (5200) SSIM (max): 0.9610 (5090) +[2024-05-21 16:33:27,187] - INFO: Eval PSNR (current): 37.986 (5295) SSIM (current): 0.9609 (5295) +[2024-05-21 16:33:27,187] - INFO: Evaluation over. +[2024-05-21 16:33:45,309] - INFO: Epoch 5296/9999, Iter 264760: Loss = 0.020104439929127693, lr = [5e-05] +[2024-05-21 16:34:12,316] - INFO: Epoch 5296/9999, Iter 264780: Loss = 0.00884426012635231, lr = [5e-05] +[2024-05-21 16:34:41,567] - INFO: Epoch 5297/9999, Iter 264800: Loss = 0.01794690638780594, lr = [5e-05] +[2024-05-21 16:35:09,414] - INFO: Epoch 5297/9999, Iter 264820: Loss = 0.011665756814181805, lr = [5e-05] +[2024-05-21 16:35:37,758] - INFO: Epoch 5297/9999, Iter 264840: Loss = 0.009058985859155655, lr = [5e-05] +[2024-05-21 16:36:06,002] - INFO: Epoch 5298/9999, Iter 264860: Loss = 0.01223652996122837, lr = [5e-05] +[2024-05-21 16:36:32,947] - INFO: Epoch 5298/9999, Iter 264880: Loss = 0.012149685062468052, lr = [5e-05] +[2024-05-21 16:37:01,798] - INFO: Epoch 5299/9999, Iter 264900: Loss = 0.01861906796693802, lr = [5e-05] +[2024-05-21 16:37:29,859] - INFO: Epoch 5299/9999, Iter 264920: Loss = 0.009020281955599785, lr = [5e-05] +[2024-05-21 16:37:56,904] - INFO: Epoch 5299/9999, Iter 264940: Loss = 0.013036482967436314, lr = [5e-05] +[2024-05-21 16:38:25,633] - INFO: Epoch 5300/9999, Iter 264960: Loss = 0.013985401950776577, lr = [5e-05] +[2024-05-21 16:38:52,319] - INFO: Epoch 5300/9999, Iter 264980: Loss = 0.013084698468446732, lr = [5e-05] +[2024-05-21 16:39:19,319] - INFO: Evaluate at epoch 5300! +[2024-05-21 16:39:23,327] - INFO: Eval PSNR (max): 38.035 (5200) SSIM (max): 0.9610 (5090) +[2024-05-21 16:39:23,327] - INFO: Eval PSNR (current): 37.966 (5300) SSIM (current): 0.9607 (5300) +[2024-05-21 16:39:23,327] - INFO: Evaluation over. +[2024-05-21 16:39:27,771] - INFO: Epoch 5301/9999, Iter 265000: Loss = 0.012949197553098202, lr = [5e-05] +[2024-05-21 16:39:55,983] - INFO: Epoch 5301/9999, Iter 265020: Loss = 0.01222341600805521, lr = [5e-05] +[2024-05-21 16:40:23,927] - INFO: Epoch 5301/9999, Iter 265040: Loss = 0.008468536660075188, lr = [5e-05] +[2024-05-21 16:40:53,207] - INFO: Epoch 5302/9999, Iter 265060: Loss = 0.010966046713292599, lr = [5e-05] +[2024-05-21 16:41:20,917] - INFO: Epoch 5302/9999, Iter 265080: Loss = 0.011898775584995747, lr = [5e-05] +[2024-05-21 16:41:49,827] - INFO: Epoch 5303/9999, Iter 265100: Loss = 0.01228480227291584, lr = [5e-05] +[2024-05-21 16:42:18,092] - INFO: Epoch 5303/9999, Iter 265120: Loss = 0.01004063431173563, lr = [5e-05] +[2024-05-21 16:42:45,307] - INFO: Epoch 5303/9999, Iter 265140: Loss = 0.012968531809747219, lr = [5e-05] +[2024-05-21 16:43:13,651] - INFO: Epoch 5304/9999, Iter 265160: Loss = 0.016594145447015762, lr = [5e-05] +[2024-05-21 16:43:42,257] - INFO: Epoch 5304/9999, Iter 265180: Loss = 0.009060940705239773, lr = [5e-05] +[2024-05-21 16:44:11,712] - INFO: Epoch 5305/9999, Iter 265200: Loss = 0.010671018622815609, lr = [5e-05] +[2024-05-21 16:44:38,401] - INFO: Epoch 5305/9999, Iter 265220: Loss = 0.015739116817712784, lr = [5e-05] +[2024-05-21 16:45:05,804] - INFO: Epoch 5305/9999, Iter 265240: Loss = 0.00984473992139101, lr = [5e-05] +[2024-05-21 16:45:18,562] - INFO: Evaluate at epoch 5305! +[2024-05-21 16:45:22,597] - INFO: Eval PSNR (max): 38.035 (5200) SSIM (max): 0.9610 (5090) +[2024-05-21 16:45:22,597] - INFO: Eval PSNR (current): 38.028 (5305) SSIM (current): 0.9610 (5305) +[2024-05-21 16:45:22,597] - INFO: Evaluation over. +[2024-05-21 16:45:40,675] - INFO: Epoch 5306/9999, Iter 265260: Loss = 0.012588921934366226, lr = [5e-05] +[2024-05-21 16:46:09,180] - INFO: Epoch 5306/9999, Iter 265280: Loss = 0.010926555842161179, lr = [5e-05] +[2024-05-21 16:46:37,907] - INFO: Epoch 5307/9999, Iter 265300: Loss = 0.013906542211771011, lr = [5e-05] +[2024-05-21 16:47:05,149] - INFO: Epoch 5307/9999, Iter 265320: Loss = 0.008795673958957195, lr = [5e-05] +[2024-05-21 16:47:32,080] - INFO: Epoch 5307/9999, Iter 265340: Loss = 0.014889505691826344, lr = [5e-05] +[2024-05-21 16:48:01,184] - INFO: Epoch 5308/9999, Iter 265360: Loss = 0.008422145619988441, lr = [5e-05] +[2024-05-21 16:48:29,579] - INFO: Epoch 5308/9999, Iter 265380: Loss = 0.010048051364719868, lr = [5e-05] +[2024-05-21 16:48:58,315] - INFO: Epoch 5309/9999, Iter 265400: Loss = 0.013864546082913876, lr = [5e-05] +[2024-05-21 16:49:26,313] - INFO: Epoch 5309/9999, Iter 265420: Loss = 0.012617235071957111, lr = [5e-05] +[2024-05-21 16:49:54,710] - INFO: Epoch 5309/9999, Iter 265440: Loss = 0.01117764599621296, lr = [5e-05] +[2024-05-21 16:50:23,298] - INFO: Epoch 5310/9999, Iter 265460: Loss = 0.013361437246203423, lr = [5e-05] +[2024-05-21 16:50:51,998] - INFO: Epoch 5310/9999, Iter 265480: Loss = 0.013664626516401768, lr = [5e-05] +[2024-05-21 16:51:17,808] - INFO: Evaluate at epoch 5310! +[2024-05-21 16:51:21,815] - INFO: Eval PSNR (max): 38.035 (5200) SSIM (max): 0.9610 (5090) +[2024-05-21 16:51:21,816] - INFO: Eval PSNR (current): 38.012 (5310) SSIM (current): 0.9609 (5310) +[2024-05-21 16:51:21,816] - INFO: Evaluation over. +[2024-05-21 16:51:25,911] - INFO: Epoch 5311/9999, Iter 265500: Loss = 0.010440067388117313, lr = [5e-05] +[2024-05-21 16:51:54,375] - INFO: Epoch 5311/9999, Iter 265520: Loss = 0.015242245979607105, lr = [5e-05] +[2024-05-21 16:52:21,894] - INFO: Epoch 5311/9999, Iter 265540: Loss = 0.017532285302877426, lr = [5e-05] +[2024-05-21 16:52:51,187] - INFO: Epoch 5312/9999, Iter 265560: Loss = 0.00575078884139657, lr = [5e-05] +[2024-05-21 16:53:18,827] - INFO: Epoch 5312/9999, Iter 265580: Loss = 0.012071819044649601, lr = [5e-05] +[2024-05-21 16:53:47,957] - INFO: Epoch 5313/9999, Iter 265600: Loss = 0.011505794711411, lr = [5e-05] +[2024-05-21 16:54:15,247] - INFO: Epoch 5313/9999, Iter 265620: Loss = 0.01454399898648262, lr = [5e-05] +[2024-05-21 16:54:43,163] - INFO: Epoch 5313/9999, Iter 265640: Loss = 0.014517201110720634, lr = [5e-05] +[2024-05-21 16:55:12,519] - INFO: Epoch 5314/9999, Iter 265660: Loss = 0.006900915410369635, lr = [5e-05] +[2024-05-21 16:55:40,094] - INFO: Epoch 5314/9999, Iter 265680: Loss = 0.009528864175081253, lr = [5e-05] +[2024-05-21 16:56:09,059] - INFO: Epoch 5315/9999, Iter 265700: Loss = 0.010717329569160938, lr = [5e-05] +[2024-05-21 16:56:36,151] - INFO: Epoch 5315/9999, Iter 265720: Loss = 0.015725580975413322, lr = [5e-05] +[2024-05-21 16:57:02,764] - INFO: Epoch 5315/9999, Iter 265740: Loss = 0.01591072976589203, lr = [5e-05] +[2024-05-21 16:57:15,208] - INFO: Evaluate at epoch 5315! +[2024-05-21 16:57:19,409] - INFO: Eval PSNR (max): 38.035 (5200) SSIM (max): 0.9610 (5090) +[2024-05-21 16:57:19,409] - INFO: Eval PSNR (current): 38.006 (5315) SSIM (current): 0.9609 (5315) +[2024-05-21 16:57:19,409] - INFO: Evaluation over. +[2024-05-21 16:57:37,969] - INFO: Epoch 5316/9999, Iter 265760: Loss = 0.012065296992659569, lr = [5e-05] +[2024-05-21 16:58:06,429] - INFO: Epoch 5316/9999, Iter 265780: Loss = 0.013734794221818447, lr = [5e-05] +[2024-05-21 16:58:35,355] - INFO: Epoch 5317/9999, Iter 265800: Loss = 0.009765006601810455, lr = [5e-05] +[2024-05-21 16:59:02,451] - INFO: Epoch 5317/9999, Iter 265820: Loss = 0.013778675347566605, lr = [5e-05] +[2024-05-21 16:59:30,766] - INFO: Epoch 5317/9999, Iter 265840: Loss = 0.011578196659684181, lr = [5e-05] +[2024-05-21 16:59:58,931] - INFO: Epoch 5318/9999, Iter 265860: Loss = 0.008725564926862717, lr = [5e-05] +[2024-05-21 17:00:26,246] - INFO: Epoch 5318/9999, Iter 265880: Loss = 0.010381704196333885, lr = [5e-05] +[2024-05-21 17:00:56,443] - INFO: Epoch 5319/9999, Iter 265900: Loss = 0.00987656693905592, lr = [5e-05] +[2024-05-21 17:01:24,279] - INFO: Epoch 5319/9999, Iter 265920: Loss = 0.013300708495080471, lr = [5e-05] +[2024-05-21 17:01:51,895] - INFO: Epoch 5319/9999, Iter 265940: Loss = 0.012987339869141579, lr = [5e-05] +[2024-05-21 17:02:21,219] - INFO: Epoch 5320/9999, Iter 265960: Loss = 0.017505701631307602, lr = [5e-05] +[2024-05-21 17:02:48,503] - INFO: Epoch 5320/9999, Iter 265980: Loss = 0.014151239767670631, lr = [5e-05] +[2024-05-21 17:03:14,074] - INFO: Evaluate at epoch 5320! +[2024-05-21 17:03:18,244] - INFO: Eval PSNR (max): 38.035 (5200) SSIM (max): 0.9610 (5090) +[2024-05-21 17:03:18,244] - INFO: Eval PSNR (current): 37.983 (5320) SSIM (current): 0.9610 (5320) +[2024-05-21 17:03:18,244] - INFO: Evaluation over. +[2024-05-21 17:03:22,429] - INFO: Epoch 5321/9999, Iter 266000: Loss = 0.018226154148578644, lr = [5e-05] +[2024-05-21 17:03:50,927] - INFO: Epoch 5321/9999, Iter 266020: Loss = 0.011498035863041878, lr = [5e-05] +[2024-05-21 17:04:19,067] - INFO: Epoch 5321/9999, Iter 266040: Loss = 0.013707867823541164, lr = [5e-05] +[2024-05-21 17:04:46,659] - INFO: Epoch 5322/9999, Iter 266060: Loss = 0.016613317653536797, lr = [5e-05] +[2024-05-21 17:05:14,243] - INFO: Epoch 5322/9999, Iter 266080: Loss = 0.012800470925867558, lr = [5e-05] +[2024-05-21 17:05:44,179] - INFO: Epoch 5323/9999, Iter 266100: Loss = 0.010289733298122883, lr = [5e-05] +[2024-05-21 17:06:12,389] - INFO: Epoch 5323/9999, Iter 266120: Loss = 0.015317793004214764, lr = [5e-05] +[2024-05-21 17:06:40,272] - INFO: Epoch 5323/9999, Iter 266140: Loss = 0.013557972386479378, lr = [5e-05] +[2024-05-21 17:07:09,663] - INFO: Epoch 5324/9999, Iter 266160: Loss = 0.016601160168647766, lr = [5e-05] +[2024-05-21 17:07:37,712] - INFO: Epoch 5324/9999, Iter 266180: Loss = 0.012436513788998127, lr = [5e-05] +[2024-05-21 17:08:06,926] - INFO: Epoch 5325/9999, Iter 266200: Loss = 0.008974657393991947, lr = [5e-05] +[2024-05-21 17:08:34,191] - INFO: Epoch 5325/9999, Iter 266220: Loss = 0.017338696867227554, lr = [5e-05] +[2024-05-21 17:09:00,915] - INFO: Epoch 5325/9999, Iter 266240: Loss = 0.011989666149020195, lr = [5e-05] +[2024-05-21 17:09:13,445] - INFO: Evaluate at epoch 5325! +[2024-05-21 17:09:17,709] - INFO: Eval PSNR (max): 38.035 (5200) SSIM (max): 0.9610 (5090) +[2024-05-21 17:09:17,709] - INFO: Eval PSNR (current): 38.019 (5325) SSIM (current): 0.9608 (5325) +[2024-05-21 17:09:17,709] - INFO: Evaluation over. +[2024-05-21 17:09:36,184] - INFO: Epoch 5326/9999, Iter 266260: Loss = 0.013411330059170723, lr = [5e-05] +[2024-05-21 17:10:04,950] - INFO: Epoch 5326/9999, Iter 266280: Loss = 0.013007155619561672, lr = [5e-05] +[2024-05-21 17:10:33,783] - INFO: Epoch 5327/9999, Iter 266300: Loss = 0.012308452278375626, lr = [5e-05] +[2024-05-21 17:11:01,640] - INFO: Epoch 5327/9999, Iter 266320: Loss = 0.017832541838288307, lr = [5e-05] +[2024-05-21 17:11:29,187] - INFO: Epoch 5327/9999, Iter 266340: Loss = 0.012127416208386421, lr = [5e-05] +[2024-05-21 17:11:58,861] - INFO: Epoch 5328/9999, Iter 266360: Loss = 0.00847869087010622, lr = [5e-05] +[2024-05-21 17:12:26,216] - INFO: Epoch 5328/9999, Iter 266380: Loss = 0.01654639281332493, lr = [5e-05] +[2024-05-21 17:12:55,275] - INFO: Epoch 5329/9999, Iter 266400: Loss = 0.017429744824767113, lr = [5e-05] +[2024-05-21 17:13:23,515] - INFO: Epoch 5329/9999, Iter 266420: Loss = 0.017005661502480507, lr = [5e-05] +[2024-05-21 17:13:51,011] - INFO: Epoch 5329/9999, Iter 266440: Loss = 0.010034263134002686, lr = [5e-05] +[2024-05-21 17:14:20,848] - INFO: Epoch 5330/9999, Iter 266460: Loss = 0.012027623131871223, lr = [5e-05] +[2024-05-21 17:14:48,906] - INFO: Epoch 5330/9999, Iter 266480: Loss = 0.011587641201913357, lr = [5e-05] +[2024-05-21 17:15:14,817] - INFO: Evaluate at epoch 5330! +[2024-05-21 17:15:18,826] - INFO: Eval PSNR (max): 38.035 (5200) SSIM (max): 0.9610 (5090) +[2024-05-21 17:15:18,826] - INFO: Eval PSNR (current): 37.982 (5330) SSIM (current): 0.9609 (5330) +[2024-05-21 17:15:18,827] - INFO: Evaluation over. +[2024-05-21 17:15:22,973] - INFO: Epoch 5331/9999, Iter 266500: Loss = 0.017894644290208817, lr = [5e-05] +[2024-05-21 17:15:50,943] - INFO: Epoch 5331/9999, Iter 266520: Loss = 0.013025092892348766, lr = [5e-05] +[2024-05-21 17:16:19,134] - INFO: Epoch 5331/9999, Iter 266540: Loss = 0.010073953308165073, lr = [5e-05] +[2024-05-21 17:16:47,878] - INFO: Epoch 5332/9999, Iter 266560: Loss = 0.01585669443011284, lr = [5e-05] +[2024-05-21 17:17:15,711] - INFO: Epoch 5332/9999, Iter 266580: Loss = 0.011947082355618477, lr = [5e-05] +[2024-05-21 17:17:44,315] - INFO: Epoch 5333/9999, Iter 266600: Loss = 0.01469235960394144, lr = [5e-05] +[2024-05-21 17:18:12,031] - INFO: Epoch 5333/9999, Iter 266620: Loss = 0.014255578629672527, lr = [5e-05] +[2024-05-21 17:18:39,555] - INFO: Epoch 5333/9999, Iter 266640: Loss = 0.013844386674463749, lr = [5e-05] +[2024-05-21 17:19:09,211] - INFO: Epoch 5334/9999, Iter 266660: Loss = 0.01331970002502203, lr = [5e-05] +[2024-05-21 17:19:36,813] - INFO: Epoch 5334/9999, Iter 266680: Loss = 0.017186613753437996, lr = [5e-05] +[2024-05-21 17:20:06,067] - INFO: Epoch 5335/9999, Iter 266700: Loss = 0.01196920033544302, lr = [5e-05] +[2024-05-21 17:20:34,170] - INFO: Epoch 5335/9999, Iter 266720: Loss = 0.012651586905121803, lr = [5e-05] +[2024-05-21 17:21:02,406] - INFO: Epoch 5335/9999, Iter 266740: Loss = 0.014696852304041386, lr = [5e-05] +[2024-05-21 17:21:14,247] - INFO: Evaluate at epoch 5335! +[2024-05-21 17:21:19,872] - INFO: Eval PSNR (max): 38.035 (5200) SSIM (max): 0.9611 (5335) +[2024-05-21 17:21:19,873] - INFO: Eval PSNR (current): 38.009 (5335) SSIM (current): 0.9611 (5335) +[2024-05-21 17:21:19,873] - INFO: Evaluation over. +[2024-05-21 17:21:39,283] - INFO: Epoch 5336/9999, Iter 266760: Loss = 0.01602623611688614, lr = [5e-05] +[2024-05-21 17:22:06,751] - INFO: Epoch 5336/9999, Iter 266780: Loss = 0.014783180318772793, lr = [5e-05] +[2024-05-21 17:22:35,687] - INFO: Epoch 5337/9999, Iter 266800: Loss = 0.010483545251190662, lr = [5e-05] +[2024-05-21 17:23:03,075] - INFO: Epoch 5337/9999, Iter 266820: Loss = 0.010975240729749203, lr = [5e-05] +[2024-05-21 17:23:29,421] - INFO: Epoch 5337/9999, Iter 266840: Loss = 0.00999511033296585, lr = [5e-05] +[2024-05-21 17:23:58,642] - INFO: Epoch 5338/9999, Iter 266860: Loss = 0.012224961072206497, lr = [5e-05] +[2024-05-21 17:24:26,426] - INFO: Epoch 5338/9999, Iter 266880: Loss = 0.010716973803937435, lr = [5e-05] +[2024-05-21 17:24:55,234] - INFO: Epoch 5339/9999, Iter 266900: Loss = 0.01273647602647543, lr = [5e-05] +[2024-05-21 17:25:22,991] - INFO: Epoch 5339/9999, Iter 266920: Loss = 0.01868860423564911, lr = [5e-05] +[2024-05-21 17:25:50,749] - INFO: Epoch 5339/9999, Iter 266940: Loss = 0.012907935306429863, lr = [5e-05] +[2024-05-21 17:26:19,867] - INFO: Epoch 5340/9999, Iter 266960: Loss = 0.008270603604614735, lr = [5e-05] +[2024-05-21 17:26:46,771] - INFO: Epoch 5340/9999, Iter 266980: Loss = 0.012948400340974331, lr = [5e-05] +[2024-05-21 17:27:12,706] - INFO: Evaluate at epoch 5340! +[2024-05-21 17:27:18,957] - INFO: Eval PSNR (max): 38.036 (5340) SSIM (max): 0.9611 (5335) +[2024-05-21 17:27:18,958] - INFO: Eval PSNR (current): 38.036 (5340) SSIM (current): 0.9610 (5340) +[2024-05-21 17:27:18,958] - INFO: Evaluation over. +[2024-05-21 17:27:23,898] - INFO: Epoch 5341/9999, Iter 267000: Loss = 0.009611482731997967, lr = [5e-05] +[2024-05-21 17:27:52,406] - INFO: Epoch 5341/9999, Iter 267020: Loss = 0.009610104374587536, lr = [5e-05] +[2024-05-21 17:28:19,183] - INFO: Epoch 5341/9999, Iter 267040: Loss = 0.009136013686656952, lr = [5e-05] +[2024-05-21 17:28:48,419] - INFO: Epoch 5342/9999, Iter 267060: Loss = 0.01060450542718172, lr = [5e-05] +[2024-05-21 17:29:15,323] - INFO: Epoch 5342/9999, Iter 267080: Loss = 0.015250257216393948, lr = [5e-05] +[2024-05-21 17:29:44,051] - INFO: Epoch 5343/9999, Iter 267100: Loss = 0.012641732580959797, lr = [5e-05] +[2024-05-21 17:30:11,316] - INFO: Epoch 5343/9999, Iter 267120: Loss = 0.01157656405121088, lr = [5e-05] +[2024-05-21 17:30:38,802] - INFO: Epoch 5343/9999, Iter 267140: Loss = 0.010016847401857376, lr = [5e-05] +[2024-05-21 17:31:07,347] - INFO: Epoch 5344/9999, Iter 267160: Loss = 0.010019980370998383, lr = [5e-05] +[2024-05-21 17:31:34,462] - INFO: Epoch 5344/9999, Iter 267180: Loss = 0.008543193340301514, lr = [5e-05] +[2024-05-21 17:32:02,939] - INFO: Epoch 5345/9999, Iter 267200: Loss = 0.007237356621772051, lr = [5e-05] +[2024-05-21 17:32:30,372] - INFO: Epoch 5345/9999, Iter 267220: Loss = 0.012486224062740803, lr = [5e-05] +[2024-05-21 17:32:57,706] - INFO: Epoch 5345/9999, Iter 267240: Loss = 0.014152037911117077, lr = [5e-05] +[2024-05-21 17:33:10,461] - INFO: Evaluate at epoch 5345! +[2024-05-21 17:33:14,587] - INFO: Eval PSNR (max): 38.036 (5340) SSIM (max): 0.9611 (5335) +[2024-05-21 17:33:14,587] - INFO: Eval PSNR (current): 37.943 (5345) SSIM (current): 0.9607 (5345) +[2024-05-21 17:33:14,588] - INFO: Evaluation over. +[2024-05-21 17:33:32,167] - INFO: Epoch 5346/9999, Iter 267260: Loss = 0.009425072930753231, lr = [5e-05] +[2024-05-21 17:33:59,803] - INFO: Epoch 5346/9999, Iter 267280: Loss = 0.012217534705996513, lr = [5e-05] +[2024-05-21 17:34:29,459] - INFO: Epoch 5347/9999, Iter 267300: Loss = 0.007480129133909941, lr = [5e-05] +[2024-05-21 17:34:57,467] - INFO: Epoch 5347/9999, Iter 267320: Loss = 0.014914804138243198, lr = [5e-05] +[2024-05-21 17:35:25,470] - INFO: Epoch 5347/9999, Iter 267340: Loss = 0.01274048537015915, lr = [5e-05] +[2024-05-21 17:35:55,225] - INFO: Epoch 5348/9999, Iter 267360: Loss = 0.012323585338890553, lr = [5e-05] +[2024-05-21 17:36:23,771] - INFO: Epoch 5348/9999, Iter 267380: Loss = 0.013575349003076553, lr = [5e-05] +[2024-05-21 17:36:52,394] - INFO: Epoch 5349/9999, Iter 267400: Loss = 0.01677258498966694, lr = [5e-05] +[2024-05-21 17:37:20,507] - INFO: Epoch 5349/9999, Iter 267420: Loss = 0.015085184946656227, lr = [5e-05] +[2024-05-21 17:37:48,441] - INFO: Epoch 5349/9999, Iter 267440: Loss = 0.011755414307117462, lr = [5e-05] +[2024-05-21 17:38:16,821] - INFO: Epoch 5350/9999, Iter 267460: Loss = 0.010682383552193642, lr = [5e-05] +[2024-05-21 17:38:43,871] - INFO: Epoch 5350/9999, Iter 267480: Loss = 0.01848670281469822, lr = [5e-05] +[2024-05-21 17:39:10,060] - INFO: Evaluate at epoch 5350! +[2024-05-21 17:39:14,170] - INFO: Eval PSNR (max): 38.036 (5340) SSIM (max): 0.9611 (5335) +[2024-05-21 17:39:14,171] - INFO: Eval PSNR (current): 38.000 (5350) SSIM (current): 0.9609 (5350) +[2024-05-21 17:39:14,171] - INFO: Evaluation over. +[2024-05-21 17:39:18,716] - INFO: Epoch 5351/9999, Iter 267500: Loss = 0.009758706204593182, lr = [5e-05] +[2024-05-21 17:39:47,082] - INFO: Epoch 5351/9999, Iter 267520: Loss = 0.016927165910601616, lr = [5e-05] +[2024-05-21 17:40:14,495] - INFO: Epoch 5351/9999, Iter 267540: Loss = 0.012063492089509964, lr = [5e-05] +[2024-05-21 17:40:43,687] - INFO: Epoch 5352/9999, Iter 267560: Loss = 0.010185436345636845, lr = [5e-05] +[2024-05-21 17:41:11,706] - INFO: Epoch 5352/9999, Iter 267580: Loss = 0.01670353300869465, lr = [5e-05] +[2024-05-21 17:41:40,851] - INFO: Epoch 5353/9999, Iter 267600: Loss = 0.016855446621775627, lr = [5e-05] +[2024-05-21 17:42:09,051] - INFO: Epoch 5353/9999, Iter 267620: Loss = 0.009239034727215767, lr = [5e-05] +[2024-05-21 17:42:37,149] - INFO: Epoch 5353/9999, Iter 267640: Loss = 0.008321823552250862, lr = [5e-05] +[2024-05-21 17:43:06,067] - INFO: Epoch 5354/9999, Iter 267660: Loss = 0.01760881580412388, lr = [5e-05] +[2024-05-21 17:43:33,811] - INFO: Epoch 5354/9999, Iter 267680: Loss = 0.016827812418341637, lr = [5e-05] +[2024-05-21 17:44:03,326] - INFO: Epoch 5355/9999, Iter 267700: Loss = 0.010837482288479805, lr = [5e-05] +[2024-05-21 17:44:30,839] - INFO: Epoch 5355/9999, Iter 267720: Loss = 0.0175035297870636, lr = [5e-05] +[2024-05-21 17:44:59,163] - INFO: Epoch 5355/9999, Iter 267740: Loss = 0.013708353042602539, lr = [5e-05] +[2024-05-21 17:45:11,303] - INFO: Evaluate at epoch 5355! +[2024-05-21 17:45:15,392] - INFO: Eval PSNR (max): 38.036 (5340) SSIM (max): 0.9611 (5335) +[2024-05-21 17:45:15,393] - INFO: Eval PSNR (current): 37.993 (5355) SSIM (current): 0.9608 (5355) +[2024-05-21 17:45:15,393] - INFO: Evaluation over. +[2024-05-21 17:45:33,847] - INFO: Epoch 5356/9999, Iter 267760: Loss = 0.015543472021818161, lr = [5e-05] +[2024-05-21 17:46:00,977] - INFO: Epoch 5356/9999, Iter 267780: Loss = 0.012754213064908981, lr = [5e-05] +[2024-05-21 17:46:30,495] - INFO: Epoch 5357/9999, Iter 267800: Loss = 0.010582203976809978, lr = [5e-05] +[2024-05-21 17:46:58,760] - INFO: Epoch 5357/9999, Iter 267820: Loss = 0.011010417714715004, lr = [5e-05] +[2024-05-21 17:47:26,940] - INFO: Epoch 5357/9999, Iter 267840: Loss = 0.014466363936662674, lr = [5e-05] +[2024-05-21 17:47:55,579] - INFO: Epoch 5358/9999, Iter 267860: Loss = 0.011202751658856869, lr = [5e-05] +[2024-05-21 17:48:23,489] - INFO: Epoch 5358/9999, Iter 267880: Loss = 0.011750315316021442, lr = [5e-05] +[2024-05-21 17:48:51,603] - INFO: Epoch 5359/9999, Iter 267900: Loss = 0.013175344094634056, lr = [5e-05] +[2024-05-21 17:49:18,203] - INFO: Epoch 5359/9999, Iter 267920: Loss = 0.014483182691037655, lr = [5e-05] +[2024-05-21 17:49:46,011] - INFO: Epoch 5359/9999, Iter 267940: Loss = 0.02100546471774578, lr = [5e-05] +[2024-05-21 17:50:14,847] - INFO: Epoch 5360/9999, Iter 267960: Loss = 0.008137957192957401, lr = [5e-05] +[2024-05-21 17:50:43,041] - INFO: Epoch 5360/9999, Iter 267980: Loss = 0.011150387115776539, lr = [5e-05] +[2024-05-21 17:51:09,167] - INFO: Evaluate at epoch 5360! +[2024-05-21 17:51:13,351] - INFO: Eval PSNR (max): 38.036 (5340) SSIM (max): 0.9611 (5335) +[2024-05-21 17:51:13,351] - INFO: Eval PSNR (current): 37.998 (5360) SSIM (current): 0.9608 (5360) +[2024-05-21 17:51:13,351] - INFO: Evaluation over. +[2024-05-21 17:51:18,263] - INFO: Epoch 5361/9999, Iter 268000: Loss = 0.011576633900403976, lr = [5e-05] +[2024-05-21 17:51:45,855] - INFO: Epoch 5361/9999, Iter 268020: Loss = 0.013241954147815704, lr = [5e-05] +[2024-05-21 17:52:12,363] - INFO: Epoch 5361/9999, Iter 268040: Loss = 0.011970799416303635, lr = [5e-05] +[2024-05-21 17:52:42,006] - INFO: Epoch 5362/9999, Iter 268060: Loss = 0.013408362865447998, lr = [5e-05] +[2024-05-21 17:53:08,880] - INFO: Epoch 5362/9999, Iter 268080: Loss = 0.01108485460281372, lr = [5e-05] +[2024-05-21 17:53:37,683] - INFO: Epoch 5363/9999, Iter 268100: Loss = 0.015390492975711823, lr = [5e-05] +[2024-05-21 17:54:04,613] - INFO: Epoch 5363/9999, Iter 268120: Loss = 0.014066464267671108, lr = [5e-05] +[2024-05-21 17:54:32,095] - INFO: Epoch 5363/9999, Iter 268140: Loss = 0.012513168156147003, lr = [5e-05] +[2024-05-21 17:55:01,334] - INFO: Epoch 5364/9999, Iter 268160: Loss = 0.008856682106852531, lr = [5e-05] +[2024-05-21 17:55:29,323] - INFO: Epoch 5364/9999, Iter 268180: Loss = 0.008703253231942654, lr = [5e-05] +[2024-05-21 17:55:57,171] - INFO: Epoch 5365/9999, Iter 268200: Loss = 0.01286968681961298, lr = [5e-05] +[2024-05-21 17:56:25,407] - INFO: Epoch 5365/9999, Iter 268220: Loss = 0.01122139859944582, lr = [5e-05] +[2024-05-21 17:56:53,411] - INFO: Epoch 5365/9999, Iter 268240: Loss = 0.011517385952174664, lr = [5e-05] +[2024-05-21 17:57:05,487] - INFO: Evaluate at epoch 5365! +[2024-05-21 17:57:09,525] - INFO: Eval PSNR (max): 38.036 (5340) SSIM (max): 0.9611 (5335) +[2024-05-21 17:57:09,526] - INFO: Eval PSNR (current): 38.008 (5365) SSIM (current): 0.9608 (5365) +[2024-05-21 17:57:09,526] - INFO: Evaluation over. +[2024-05-21 17:57:28,355] - INFO: Epoch 5366/9999, Iter 268260: Loss = 0.012954662553966045, lr = [5e-05] +[2024-05-21 17:57:56,343] - INFO: Epoch 5366/9999, Iter 268280: Loss = 0.010495293885469437, lr = [5e-05] +[2024-05-21 17:58:25,303] - INFO: Epoch 5367/9999, Iter 268300: Loss = 0.012474261224269867, lr = [5e-05] +[2024-05-21 17:58:53,322] - INFO: Epoch 5367/9999, Iter 268320: Loss = 0.010852228850126266, lr = [5e-05] +[2024-05-21 17:59:20,517] - INFO: Epoch 5367/9999, Iter 268340: Loss = 0.01289883628487587, lr = [5e-05] +[2024-05-21 17:59:49,571] - INFO: Epoch 5368/9999, Iter 268360: Loss = 0.013503052294254303, lr = [5e-05] +[2024-05-21 18:00:17,089] - INFO: Epoch 5368/9999, Iter 268380: Loss = 0.01944741979241371, lr = [5e-05] +[2024-05-21 18:00:46,743] - INFO: Epoch 5369/9999, Iter 268400: Loss = 0.01743614301085472, lr = [5e-05] +[2024-05-21 18:01:14,540] - INFO: Epoch 5369/9999, Iter 268420: Loss = 0.009731537662446499, lr = [5e-05] +[2024-05-21 18:01:42,121] - INFO: Epoch 5369/9999, Iter 268440: Loss = 0.012191359885036945, lr = [5e-05] +[2024-05-21 18:02:11,561] - INFO: Epoch 5370/9999, Iter 268460: Loss = 0.011235211044549942, lr = [5e-05] +[2024-05-21 18:02:39,293] - INFO: Epoch 5370/9999, Iter 268480: Loss = 0.010892241261899471, lr = [5e-05] +[2024-05-21 18:03:05,549] - INFO: Evaluate at epoch 5370! +[2024-05-21 18:03:09,635] - INFO: Eval PSNR (max): 38.036 (5340) SSIM (max): 0.9611 (5335) +[2024-05-21 18:03:09,635] - INFO: Eval PSNR (current): 38.021 (5370) SSIM (current): 0.9609 (5370) +[2024-05-21 18:03:09,635] - INFO: Evaluation over. +[2024-05-21 18:03:14,521] - INFO: Epoch 5371/9999, Iter 268500: Loss = 0.011555397883057594, lr = [5e-05] +[2024-05-21 18:03:42,671] - INFO: Epoch 5371/9999, Iter 268520: Loss = 0.01749754697084427, lr = [5e-05] +[2024-05-21 18:04:10,377] - INFO: Epoch 5371/9999, Iter 268540: Loss = 0.014486031606793404, lr = [5e-05] +[2024-05-21 18:04:39,070] - INFO: Epoch 5372/9999, Iter 268560: Loss = 0.016246052458882332, lr = [5e-05] +[2024-05-21 18:05:06,242] - INFO: Epoch 5372/9999, Iter 268580: Loss = 0.011873709037899971, lr = [5e-05] +[2024-05-21 18:05:35,365] - INFO: Epoch 5373/9999, Iter 268600: Loss = 0.01263883151113987, lr = [5e-05] +[2024-05-21 18:06:03,023] - INFO: Epoch 5373/9999, Iter 268620: Loss = 0.01020674780011177, lr = [5e-05] +[2024-05-21 18:06:31,749] - INFO: Epoch 5373/9999, Iter 268640: Loss = 0.016299592331051826, lr = [5e-05] +[2024-05-21 18:07:00,499] - INFO: Epoch 5374/9999, Iter 268660: Loss = 0.010344690643250942, lr = [5e-05] +[2024-05-21 18:07:27,071] - INFO: Epoch 5374/9999, Iter 268680: Loss = 0.015820812433958054, lr = [5e-05] +[2024-05-21 18:07:56,679] - INFO: Epoch 5375/9999, Iter 268700: Loss = 0.015506929717957973, lr = [5e-05] +[2024-05-21 18:08:25,463] - INFO: Epoch 5375/9999, Iter 268720: Loss = 0.011303023435175419, lr = [5e-05] +[2024-05-21 18:08:52,777] - INFO: Epoch 5375/9999, Iter 268740: Loss = 0.009769202210009098, lr = [5e-05] +[2024-05-21 18:09:04,439] - INFO: Evaluate at epoch 5375! +[2024-05-21 18:09:08,504] - INFO: Eval PSNR (max): 38.036 (5340) SSIM (max): 0.9611 (5335) +[2024-05-21 18:09:08,505] - INFO: Eval PSNR (current): 37.963 (5375) SSIM (current): 0.9608 (5375) +[2024-05-21 18:09:08,505] - INFO: Evaluation over. +[2024-05-21 18:09:26,683] - INFO: Epoch 5376/9999, Iter 268760: Loss = 0.014907825738191605, lr = [5e-05] +[2024-05-21 18:09:54,346] - INFO: Epoch 5376/9999, Iter 268780: Loss = 0.012562857940793037, lr = [5e-05] +[2024-05-21 18:10:23,683] - INFO: Epoch 5377/9999, Iter 268800: Loss = 0.007561655715107918, lr = [5e-05] +[2024-05-21 18:10:51,647] - INFO: Epoch 5377/9999, Iter 268820: Loss = 0.010913587175309658, lr = [5e-05] +[2024-05-21 18:11:19,920] - INFO: Epoch 5377/9999, Iter 268840: Loss = 0.014572612941265106, lr = [5e-05] +[2024-05-21 18:11:48,769] - INFO: Epoch 5378/9999, Iter 268860: Loss = 0.014090191572904587, lr = [5e-05] +[2024-05-21 18:12:16,523] - INFO: Epoch 5378/9999, Iter 268880: Loss = 0.010805574245750904, lr = [5e-05] +[2024-05-21 18:12:46,162] - INFO: Epoch 5379/9999, Iter 268900: Loss = 0.013107461854815483, lr = [5e-05] +[2024-05-21 18:13:14,083] - INFO: Epoch 5379/9999, Iter 268920: Loss = 0.013545796275138855, lr = [5e-05] +[2024-05-21 18:13:41,169] - INFO: Epoch 5379/9999, Iter 268940: Loss = 0.012170612812042236, lr = [5e-05] +[2024-05-21 18:14:09,694] - INFO: Epoch 5380/9999, Iter 268960: Loss = 0.017899181693792343, lr = [5e-05] +[2024-05-21 18:14:36,828] - INFO: Epoch 5380/9999, Iter 268980: Loss = 0.012925468385219574, lr = [5e-05] +[2024-05-21 18:15:02,798] - INFO: Evaluate at epoch 5380! +[2024-05-21 18:15:06,993] - INFO: Eval PSNR (max): 38.036 (5340) SSIM (max): 0.9611 (5335) +[2024-05-21 18:15:06,993] - INFO: Eval PSNR (current): 37.966 (5380) SSIM (current): 0.9607 (5380) +[2024-05-21 18:15:06,993] - INFO: Evaluation over. +[2024-05-21 18:15:11,406] - INFO: Epoch 5381/9999, Iter 269000: Loss = 0.014848146587610245, lr = [5e-05] +[2024-05-21 18:15:39,036] - INFO: Epoch 5381/9999, Iter 269020: Loss = 0.014557604677975178, lr = [5e-05] +[2024-05-21 18:16:05,779] - INFO: Epoch 5381/9999, Iter 269040: Loss = 0.01639479771256447, lr = [5e-05] +[2024-05-21 18:16:35,699] - INFO: Epoch 5382/9999, Iter 269060: Loss = 0.017858954146504402, lr = [5e-05] +[2024-05-21 18:17:03,310] - INFO: Epoch 5382/9999, Iter 269080: Loss = 0.010373231954872608, lr = [5e-05] +[2024-05-21 18:17:32,415] - INFO: Epoch 5383/9999, Iter 269100: Loss = 0.006879778578877449, lr = [5e-05] +[2024-05-21 18:18:00,335] - INFO: Epoch 5383/9999, Iter 269120: Loss = 0.011698414571583271, lr = [5e-05] +[2024-05-21 18:18:28,551] - INFO: Epoch 5383/9999, Iter 269140: Loss = 0.011794745922088623, lr = [5e-05] +[2024-05-21 18:18:57,735] - INFO: Epoch 5384/9999, Iter 269160: Loss = 0.016227586194872856, lr = [5e-05] +[2024-05-21 18:19:25,665] - INFO: Epoch 5384/9999, Iter 269180: Loss = 0.011838255450129509, lr = [5e-05] +[2024-05-21 18:19:54,475] - INFO: Epoch 5385/9999, Iter 269200: Loss = 0.014828963205218315, lr = [5e-05] +[2024-05-21 18:20:22,591] - INFO: Epoch 5385/9999, Iter 269220: Loss = 0.013531209900975227, lr = [5e-05] +[2024-05-21 18:20:51,109] - INFO: Epoch 5385/9999, Iter 269240: Loss = 0.011923826299607754, lr = [5e-05] +[2024-05-21 18:21:02,706] - INFO: Evaluate at epoch 5385! +[2024-05-21 18:21:06,718] - INFO: Eval PSNR (max): 38.036 (5340) SSIM (max): 0.9611 (5335) +[2024-05-21 18:21:06,718] - INFO: Eval PSNR (current): 38.008 (5385) SSIM (current): 0.9609 (5385) +[2024-05-21 18:21:06,718] - INFO: Evaluation over. +[2024-05-21 18:21:25,430] - INFO: Epoch 5386/9999, Iter 269260: Loss = 0.010494017973542213, lr = [5e-05] +[2024-05-21 18:21:53,102] - INFO: Epoch 5386/9999, Iter 269280: Loss = 0.009571319445967674, lr = [5e-05] +[2024-05-21 18:22:21,744] - INFO: Epoch 5387/9999, Iter 269300: Loss = 0.01451635267585516, lr = [5e-05] +[2024-05-21 18:22:48,477] - INFO: Epoch 5387/9999, Iter 269320: Loss = 0.011276242323219776, lr = [5e-05] +[2024-05-21 18:23:15,977] - INFO: Epoch 5387/9999, Iter 269340: Loss = 0.014904556795954704, lr = [5e-05] +[2024-05-21 18:23:45,134] - INFO: Epoch 5388/9999, Iter 269360: Loss = 0.00972240325063467, lr = [5e-05] +[2024-05-21 18:24:13,381] - INFO: Epoch 5388/9999, Iter 269380: Loss = 0.010062557645142078, lr = [5e-05] +[2024-05-21 18:24:42,275] - INFO: Epoch 5389/9999, Iter 269400: Loss = 0.012114359065890312, lr = [5e-05] +[2024-05-21 18:25:09,752] - INFO: Epoch 5389/9999, Iter 269420: Loss = 0.006951541174203157, lr = [5e-05] +[2024-05-21 18:25:36,913] - INFO: Epoch 5389/9999, Iter 269440: Loss = 0.01031536515802145, lr = [5e-05] +[2024-05-21 18:26:06,444] - INFO: Epoch 5390/9999, Iter 269460: Loss = 0.009320191107690334, lr = [5e-05] +[2024-05-21 18:26:34,930] - INFO: Epoch 5390/9999, Iter 269480: Loss = 0.010979009792208672, lr = [5e-05] +[2024-05-21 18:27:00,593] - INFO: Evaluate at epoch 5390! +[2024-05-21 18:27:04,745] - INFO: Eval PSNR (max): 38.036 (5340) SSIM (max): 0.9611 (5335) +[2024-05-21 18:27:04,745] - INFO: Eval PSNR (current): 38.013 (5390) SSIM (current): 0.9609 (5390) +[2024-05-21 18:27:04,745] - INFO: Evaluation over. +[2024-05-21 18:27:09,219] - INFO: Epoch 5391/9999, Iter 269500: Loss = 0.010337512008845806, lr = [5e-05] +[2024-05-21 18:27:37,377] - INFO: Epoch 5391/9999, Iter 269520: Loss = 0.011446340940892696, lr = [5e-05] +[2024-05-21 18:28:05,455] - INFO: Epoch 5391/9999, Iter 269540: Loss = 0.012983618304133415, lr = [5e-05] +[2024-05-21 18:28:34,408] - INFO: Epoch 5392/9999, Iter 269560: Loss = 0.013548074290156364, lr = [5e-05] +[2024-05-21 18:29:02,615] - INFO: Epoch 5392/9999, Iter 269580: Loss = 0.016993839293718338, lr = [5e-05] +[2024-05-21 18:29:30,459] - INFO: Epoch 5393/9999, Iter 269600: Loss = 0.014939718879759312, lr = [5e-05] +[2024-05-21 18:29:58,163] - INFO: Epoch 5393/9999, Iter 269620: Loss = 0.00881469901651144, lr = [5e-05] +[2024-05-21 18:30:25,083] - INFO: Epoch 5393/9999, Iter 269640: Loss = 0.012693739496171474, lr = [5e-05] +[2024-05-21 18:30:53,836] - INFO: Epoch 5394/9999, Iter 269660: Loss = 0.013663353398442268, lr = [5e-05] +[2024-05-21 18:31:21,028] - INFO: Epoch 5394/9999, Iter 269680: Loss = 0.010613133199512959, lr = [5e-05] +[2024-05-21 18:31:50,725] - INFO: Epoch 5395/9999, Iter 269700: Loss = 0.013328561559319496, lr = [5e-05] +[2024-05-21 18:32:18,039] - INFO: Epoch 5395/9999, Iter 269720: Loss = 0.013550727628171444, lr = [5e-05] +[2024-05-21 18:32:46,376] - INFO: Epoch 5395/9999, Iter 269740: Loss = 0.011573635041713715, lr = [5e-05] +[2024-05-21 18:32:58,871] - INFO: Evaluate at epoch 5395! +[2024-05-21 18:33:02,902] - INFO: Eval PSNR (max): 38.036 (5340) SSIM (max): 0.9611 (5335) +[2024-05-21 18:33:02,902] - INFO: Eval PSNR (current): 38.005 (5395) SSIM (current): 0.9608 (5395) +[2024-05-21 18:33:02,902] - INFO: Evaluation over. +[2024-05-21 18:33:21,096] - INFO: Epoch 5396/9999, Iter 269760: Loss = 0.0149447713047266, lr = [5e-05] +[2024-05-21 18:33:47,906] - INFO: Epoch 5396/9999, Iter 269780: Loss = 0.008341208100318909, lr = [5e-05] +[2024-05-21 18:34:16,739] - INFO: Epoch 5397/9999, Iter 269800: Loss = 0.01340627484023571, lr = [5e-05] +[2024-05-21 18:34:44,527] - INFO: Epoch 5397/9999, Iter 269820: Loss = 0.011349506676197052, lr = [5e-05] +[2024-05-21 18:35:11,545] - INFO: Epoch 5397/9999, Iter 269840: Loss = 0.01546898391097784, lr = [5e-05] +[2024-05-21 18:35:40,599] - INFO: Epoch 5398/9999, Iter 269860: Loss = 0.011882135644555092, lr = [5e-05] +[2024-05-21 18:36:08,507] - INFO: Epoch 5398/9999, Iter 269880: Loss = 0.011794377118349075, lr = [5e-05] +[2024-05-21 18:36:36,835] - INFO: Epoch 5399/9999, Iter 269900: Loss = 0.012803665362298489, lr = [5e-05] +[2024-05-21 18:37:03,491] - INFO: Epoch 5399/9999, Iter 269920: Loss = 0.013409184291958809, lr = [5e-05] +[2024-05-21 18:37:31,475] - INFO: Epoch 5399/9999, Iter 269940: Loss = 0.01146837417036295, lr = [5e-05] +[2024-05-21 18:38:00,623] - INFO: Epoch 5400/9999, Iter 269960: Loss = 0.010598446242511272, lr = [5e-05] +[2024-05-21 18:38:27,386] - INFO: Epoch 5400/9999, Iter 269980: Loss = 0.014372572302818298, lr = [5e-05] +[2024-05-21 18:38:54,540] - INFO: Evaluate at epoch 5400! +[2024-05-21 18:38:58,920] - INFO: Eval PSNR (max): 38.036 (5340) SSIM (max): 0.9611 (5335) +[2024-05-21 18:38:58,920] - INFO: Eval PSNR (current): 37.980 (5400) SSIM (current): 0.9608 (5400) +[2024-05-21 18:38:58,920] - INFO: Evaluation over. +[2024-05-21 18:39:03,142] - INFO: Epoch 5401/9999, Iter 270000: Loss = 0.00822265911847353, lr = [5e-05] +[2024-05-21 18:39:31,281] - INFO: Epoch 5401/9999, Iter 270020: Loss = 0.012370917946100235, lr = [5e-05] +[2024-05-21 18:39:59,172] - INFO: Epoch 5401/9999, Iter 270040: Loss = 0.012845844961702824, lr = [5e-05] +[2024-05-21 18:40:28,051] - INFO: Epoch 5402/9999, Iter 270060: Loss = 0.014122439548373222, lr = [5e-05] +[2024-05-21 18:40:55,234] - INFO: Epoch 5402/9999, Iter 270080: Loss = 0.014510029926896095, lr = [5e-05] +[2024-05-21 18:41:23,647] - INFO: Epoch 5403/9999, Iter 270100: Loss = 0.009712415747344494, lr = [5e-05] +[2024-05-21 18:41:51,270] - INFO: Epoch 5403/9999, Iter 270120: Loss = 0.013609831221401691, lr = [5e-05] +[2024-05-21 18:42:19,037] - INFO: Epoch 5403/9999, Iter 270140: Loss = 0.013835900463163853, lr = [5e-05] +[2024-05-21 18:42:48,685] - INFO: Epoch 5404/9999, Iter 270160: Loss = 0.013986684381961823, lr = [5e-05] +[2024-05-21 18:43:16,891] - INFO: Epoch 5404/9999, Iter 270180: Loss = 0.0126425139605999, lr = [5e-05] +[2024-05-21 18:43:45,438] - INFO: Epoch 5405/9999, Iter 270200: Loss = 0.011573820374906063, lr = [5e-05] +[2024-05-21 18:44:12,788] - INFO: Epoch 5405/9999, Iter 270220: Loss = 0.00923046376556158, lr = [5e-05] +[2024-05-21 18:44:40,702] - INFO: Epoch 5405/9999, Iter 270240: Loss = 0.015177883207798004, lr = [5e-05] +[2024-05-21 18:44:52,735] - INFO: Evaluate at epoch 5405! +[2024-05-21 18:44:56,940] - INFO: Eval PSNR (max): 38.036 (5340) SSIM (max): 0.9611 (5335) +[2024-05-21 18:44:56,940] - INFO: Eval PSNR (current): 38.007 (5405) SSIM (current): 0.9608 (5405) +[2024-05-21 18:44:56,940] - INFO: Evaluation over. +[2024-05-21 18:45:15,527] - INFO: Epoch 5406/9999, Iter 270260: Loss = 0.014963969588279724, lr = [5e-05] +[2024-05-21 18:45:43,547] - INFO: Epoch 5406/9999, Iter 270280: Loss = 0.008289475925266743, lr = [5e-05] +[2024-05-21 18:46:12,847] - INFO: Epoch 5407/9999, Iter 270300: Loss = 0.012671099975705147, lr = [5e-05] +[2024-05-21 18:46:39,783] - INFO: Epoch 5407/9999, Iter 270320: Loss = 0.011818199418485165, lr = [5e-05] +[2024-05-21 18:47:07,671] - INFO: Epoch 5407/9999, Iter 270340: Loss = 0.013275278732180595, lr = [5e-05] +[2024-05-21 18:47:35,871] - INFO: Epoch 5408/9999, Iter 270360: Loss = 0.012993927113711834, lr = [5e-05] +[2024-05-21 18:48:03,388] - INFO: Epoch 5408/9999, Iter 270380: Loss = 0.013233334757387638, lr = [5e-05] +[2024-05-21 18:48:31,907] - INFO: Epoch 5409/9999, Iter 270400: Loss = 0.014081219211220741, lr = [5e-05] +[2024-05-21 18:49:00,639] - INFO: Epoch 5409/9999, Iter 270420: Loss = 0.009637762792408466, lr = [5e-05] +[2024-05-21 18:49:28,198] - INFO: Epoch 5409/9999, Iter 270440: Loss = 0.011244159191846848, lr = [5e-05] +[2024-05-21 18:49:56,989] - INFO: Epoch 5410/9999, Iter 270460: Loss = 0.01651144213974476, lr = [5e-05] +[2024-05-21 18:50:24,161] - INFO: Epoch 5410/9999, Iter 270480: Loss = 0.01375882513821125, lr = [5e-05] +[2024-05-21 18:50:50,654] - INFO: Evaluate at epoch 5410! +[2024-05-21 18:50:54,725] - INFO: Eval PSNR (max): 38.036 (5340) SSIM (max): 0.9611 (5335) +[2024-05-21 18:50:54,725] - INFO: Eval PSNR (current): 37.992 (5410) SSIM (current): 0.9610 (5410) +[2024-05-21 18:50:54,725] - INFO: Evaluation over. +[2024-05-21 18:50:59,793] - INFO: Epoch 5411/9999, Iter 270500: Loss = 0.008669581264257431, lr = [5e-05] +[2024-05-21 18:51:27,767] - INFO: Epoch 5411/9999, Iter 270520: Loss = 0.008568620309233665, lr = [5e-05] +[2024-05-21 18:51:55,586] - INFO: Epoch 5411/9999, Iter 270540: Loss = 0.018602970987558365, lr = [5e-05] +[2024-05-21 18:52:24,830] - INFO: Epoch 5412/9999, Iter 270560: Loss = 0.010627861134707928, lr = [5e-05] +[2024-05-21 18:52:52,087] - INFO: Epoch 5412/9999, Iter 270580: Loss = 0.008505446836352348, lr = [5e-05] +[2024-05-21 18:53:21,035] - INFO: Epoch 5413/9999, Iter 270600: Loss = 0.016741754487156868, lr = [5e-05] +[2024-05-21 18:53:49,447] - INFO: Epoch 5413/9999, Iter 270620: Loss = 0.011182471178472042, lr = [5e-05] +[2024-05-21 18:54:17,683] - INFO: Epoch 5413/9999, Iter 270640: Loss = 0.010300596244633198, lr = [5e-05] +[2024-05-21 18:54:45,516] - INFO: Epoch 5414/9999, Iter 270660: Loss = 0.011415595188736916, lr = [5e-05] +[2024-05-21 18:55:14,731] - INFO: Epoch 5414/9999, Iter 270680: Loss = 0.015046593733131886, lr = [5e-05] +[2024-05-21 18:55:43,281] - INFO: Epoch 5415/9999, Iter 270700: Loss = 0.016843250021338463, lr = [5e-05] +[2024-05-21 18:56:11,321] - INFO: Epoch 5415/9999, Iter 270720: Loss = 0.011348549276590347, lr = [5e-05] +[2024-05-21 18:56:38,731] - INFO: Epoch 5415/9999, Iter 270740: Loss = 0.01343683060258627, lr = [5e-05] +[2024-05-21 18:56:51,295] - INFO: Evaluate at epoch 5415! +[2024-05-21 18:56:55,297] - INFO: Eval PSNR (max): 38.036 (5340) SSIM (max): 0.9611 (5335) +[2024-05-21 18:56:55,297] - INFO: Eval PSNR (current): 37.972 (5415) SSIM (current): 0.9608 (5415) +[2024-05-21 18:56:55,297] - INFO: Evaluation over. +[2024-05-21 18:57:13,607] - INFO: Epoch 5416/9999, Iter 270760: Loss = 0.012015198357403278, lr = [5e-05] +[2024-05-21 18:57:41,877] - INFO: Epoch 5416/9999, Iter 270780: Loss = 0.012106657959520817, lr = [5e-05] +[2024-05-21 18:58:10,643] - INFO: Epoch 5417/9999, Iter 270800: Loss = 0.01016961969435215, lr = [5e-05] +[2024-05-21 18:58:38,259] - INFO: Epoch 5417/9999, Iter 270820: Loss = 0.012227235361933708, lr = [5e-05] +[2024-05-21 18:59:06,482] - INFO: Epoch 5417/9999, Iter 270840: Loss = 0.018261702731251717, lr = [5e-05] +[2024-05-21 18:59:36,221] - INFO: Epoch 5418/9999, Iter 270860: Loss = 0.015206588432192802, lr = [5e-05] +[2024-05-21 19:00:04,396] - INFO: Epoch 5418/9999, Iter 270880: Loss = 0.015524196438491344, lr = [5e-05] +[2024-05-21 19:00:33,647] - INFO: Epoch 5419/9999, Iter 270900: Loss = 0.011415322311222553, lr = [5e-05] +[2024-05-21 19:00:59,435] - INFO: Epoch 5419/9999, Iter 270920: Loss = 0.013104022480547428, lr = [5e-05] +[2024-05-21 19:01:27,803] - INFO: Epoch 5419/9999, Iter 270940: Loss = 0.01501964870840311, lr = [5e-05] +[2024-05-21 19:01:57,038] - INFO: Epoch 5420/9999, Iter 270960: Loss = 0.01255776733160019, lr = [5e-05] +[2024-05-21 19:02:25,767] - INFO: Epoch 5420/9999, Iter 270980: Loss = 0.008201942779123783, lr = [5e-05] +[2024-05-21 19:02:51,297] - INFO: Evaluate at epoch 5420! +[2024-05-21 19:02:55,307] - INFO: Eval PSNR (max): 38.036 (5340) SSIM (max): 0.9611 (5335) +[2024-05-21 19:02:55,307] - INFO: Eval PSNR (current): 37.967 (5420) SSIM (current): 0.9607 (5420) +[2024-05-21 19:02:55,307] - INFO: Evaluation over. +[2024-05-21 19:02:59,920] - INFO: Epoch 5421/9999, Iter 271000: Loss = 0.008027744479477406, lr = [5e-05] +[2024-05-21 19:03:27,373] - INFO: Epoch 5421/9999, Iter 271020: Loss = 0.011243785731494427, lr = [5e-05] +[2024-05-21 19:03:55,706] - INFO: Epoch 5421/9999, Iter 271040: Loss = 0.011361389420926571, lr = [5e-05] +[2024-05-21 19:04:24,863] - INFO: Epoch 5422/9999, Iter 271060: Loss = 0.01195512805134058, lr = [5e-05] +[2024-05-21 19:04:53,533] - INFO: Epoch 5422/9999, Iter 271080: Loss = 0.011189520359039307, lr = [5e-05] +[2024-05-21 19:05:22,856] - INFO: Epoch 5423/9999, Iter 271100: Loss = 0.012407825328409672, lr = [5e-05] +[2024-05-21 19:05:50,220] - INFO: Epoch 5423/9999, Iter 271120: Loss = 0.011953065171837807, lr = [5e-05] +[2024-05-21 19:06:18,919] - INFO: Epoch 5423/9999, Iter 271140: Loss = 0.020869266241788864, lr = [5e-05] +[2024-05-21 19:06:46,910] - INFO: Epoch 5424/9999, Iter 271160: Loss = 0.01580667681992054, lr = [5e-05] +[2024-05-21 19:07:13,729] - INFO: Epoch 5424/9999, Iter 271180: Loss = 0.009923165664076805, lr = [5e-05] +[2024-05-21 19:07:43,003] - INFO: Epoch 5425/9999, Iter 271200: Loss = 0.01741522178053856, lr = [5e-05] +[2024-05-21 19:08:11,047] - INFO: Epoch 5425/9999, Iter 271220: Loss = 0.013849322684109211, lr = [5e-05] +[2024-05-21 19:08:39,156] - INFO: Epoch 5425/9999, Iter 271240: Loss = 0.012544447556138039, lr = [5e-05] +[2024-05-21 19:08:51,348] - INFO: Evaluate at epoch 5425! +[2024-05-21 19:08:55,348] - INFO: Eval PSNR (max): 38.036 (5340) SSIM (max): 0.9611 (5335) +[2024-05-21 19:08:55,349] - INFO: Eval PSNR (current): 38.035 (5425) SSIM (current): 0.9609 (5425) +[2024-05-21 19:08:55,349] - INFO: Evaluation over. +[2024-05-21 19:09:12,775] - INFO: Epoch 5426/9999, Iter 271260: Loss = 0.015721138566732407, lr = [5e-05] +[2024-05-21 19:09:40,051] - INFO: Epoch 5426/9999, Iter 271280: Loss = 0.009902745485305786, lr = [5e-05] +[2024-05-21 19:10:08,622] - INFO: Epoch 5427/9999, Iter 271300: Loss = 0.012099114246666431, lr = [5e-05] +[2024-05-21 19:10:36,675] - INFO: Epoch 5427/9999, Iter 271320: Loss = 0.01337910071015358, lr = [5e-05] +[2024-05-21 19:11:04,238] - INFO: Epoch 5427/9999, Iter 271340: Loss = 0.009687352925539017, lr = [5e-05] +[2024-05-21 19:11:33,056] - INFO: Epoch 5428/9999, Iter 271360: Loss = 0.010297280736267567, lr = [5e-05] +[2024-05-21 19:12:01,679] - INFO: Epoch 5428/9999, Iter 271380: Loss = 0.011302751488983631, lr = [5e-05] +[2024-05-21 19:12:30,143] - INFO: Epoch 5429/9999, Iter 271400: Loss = 0.012016813270747662, lr = [5e-05] +[2024-05-21 19:12:58,427] - INFO: Epoch 5429/9999, Iter 271420: Loss = 0.014276695437729359, lr = [5e-05] +[2024-05-21 19:13:26,383] - INFO: Epoch 5429/9999, Iter 271440: Loss = 0.01063929870724678, lr = [5e-05] +[2024-05-21 19:13:55,652] - INFO: Epoch 5430/9999, Iter 271460: Loss = 0.01315397210419178, lr = [5e-05] +[2024-05-21 19:14:22,505] - INFO: Epoch 5430/9999, Iter 271480: Loss = 0.007773115765303373, lr = [5e-05] +[2024-05-21 19:14:48,725] - INFO: Evaluate at epoch 5430! +[2024-05-21 19:14:52,729] - INFO: Eval PSNR (max): 38.036 (5340) SSIM (max): 0.9611 (5335) +[2024-05-21 19:14:52,730] - INFO: Eval PSNR (current): 38.018 (5430) SSIM (current): 0.9609 (5430) +[2024-05-21 19:14:52,730] - INFO: Evaluation over. +[2024-05-21 19:14:57,230] - INFO: Epoch 5431/9999, Iter 271500: Loss = 0.008903935551643372, lr = [5e-05] +[2024-05-21 19:15:24,857] - INFO: Epoch 5431/9999, Iter 271520: Loss = 0.012901008129119873, lr = [5e-05] +[2024-05-21 19:15:52,803] - INFO: Epoch 5431/9999, Iter 271540: Loss = 0.009574472904205322, lr = [5e-05] +[2024-05-21 19:16:21,462] - INFO: Epoch 5432/9999, Iter 271560: Loss = 0.01172903086990118, lr = [5e-05] +[2024-05-21 19:16:48,931] - INFO: Epoch 5432/9999, Iter 271580: Loss = 0.00781793799251318, lr = [5e-05] +[2024-05-21 19:17:17,982] - INFO: Epoch 5433/9999, Iter 271600: Loss = 0.012575004249811172, lr = [5e-05] +[2024-05-21 19:17:45,319] - INFO: Epoch 5433/9999, Iter 271620: Loss = 0.024699470028281212, lr = [5e-05] +[2024-05-21 19:18:12,138] - INFO: Epoch 5433/9999, Iter 271640: Loss = 0.016065767034888268, lr = [5e-05] +[2024-05-21 19:18:40,963] - INFO: Epoch 5434/9999, Iter 271660: Loss = 0.013012504205107689, lr = [5e-05] +[2024-05-21 19:19:08,887] - INFO: Epoch 5434/9999, Iter 271680: Loss = 0.01615634374320507, lr = [5e-05] +[2024-05-21 19:19:37,907] - INFO: Epoch 5435/9999, Iter 271700: Loss = 0.01505096536129713, lr = [5e-05] +[2024-05-21 19:20:05,776] - INFO: Epoch 5435/9999, Iter 271720: Loss = 0.016482146456837654, lr = [5e-05] +[2024-05-21 19:20:34,341] - INFO: Epoch 5435/9999, Iter 271740: Loss = 0.011880031786859035, lr = [5e-05] +[2024-05-21 19:20:45,881] - INFO: Evaluate at epoch 5435! +[2024-05-21 19:20:49,892] - INFO: Eval PSNR (max): 38.036 (5340) SSIM (max): 0.9611 (5335) +[2024-05-21 19:20:49,892] - INFO: Eval PSNR (current): 37.997 (5435) SSIM (current): 0.9609 (5435) +[2024-05-21 19:20:49,892] - INFO: Evaluation over. +[2024-05-21 19:21:09,076] - INFO: Epoch 5436/9999, Iter 271760: Loss = 0.013212463818490505, lr = [5e-05] +[2024-05-21 19:21:36,683] - INFO: Epoch 5436/9999, Iter 271780: Loss = 0.012765947729349136, lr = [5e-05] +[2024-05-21 19:22:05,900] - INFO: Epoch 5437/9999, Iter 271800: Loss = 0.011484945192933083, lr = [5e-05] +[2024-05-21 19:22:34,226] - INFO: Epoch 5437/9999, Iter 271820: Loss = 0.013382156379520893, lr = [5e-05] +[2024-05-21 19:23:02,511] - INFO: Epoch 5437/9999, Iter 271840: Loss = 0.010822447016835213, lr = [5e-05] +[2024-05-21 19:23:31,055] - INFO: Epoch 5438/9999, Iter 271860: Loss = 0.010820545256137848, lr = [5e-05] +[2024-05-21 19:23:59,291] - INFO: Epoch 5438/9999, Iter 271880: Loss = 0.014073125086724758, lr = [5e-05] +[2024-05-21 19:24:28,095] - INFO: Epoch 5439/9999, Iter 271900: Loss = 0.016679275780916214, lr = [5e-05] +[2024-05-21 19:24:56,295] - INFO: Epoch 5439/9999, Iter 271920: Loss = 0.013401839882135391, lr = [5e-05] +[2024-05-21 19:25:23,583] - INFO: Epoch 5439/9999, Iter 271940: Loss = 0.008197719231247902, lr = [5e-05] +[2024-05-21 19:25:51,751] - INFO: Epoch 5440/9999, Iter 271960: Loss = 0.013757430016994476, lr = [5e-05] +[2024-05-21 19:26:19,639] - INFO: Epoch 5440/9999, Iter 271980: Loss = 0.011490424163639545, lr = [5e-05] +[2024-05-21 19:26:46,023] - INFO: Evaluate at epoch 5440! +[2024-05-21 19:26:50,026] - INFO: Eval PSNR (max): 38.036 (5340) SSIM (max): 0.9611 (5335) +[2024-05-21 19:26:50,027] - INFO: Eval PSNR (current): 38.015 (5440) SSIM (current): 0.9609 (5440) +[2024-05-21 19:26:50,027] - INFO: Evaluation over. +[2024-05-21 19:26:54,431] - INFO: Epoch 5441/9999, Iter 272000: Loss = 0.012848476879298687, lr = [5e-05] +[2024-05-21 19:27:21,239] - INFO: Epoch 5441/9999, Iter 272020: Loss = 0.009835458360612392, lr = [5e-05] +[2024-05-21 19:27:47,813] - INFO: Epoch 5441/9999, Iter 272040: Loss = 0.012457538396120071, lr = [5e-05] +[2024-05-21 19:28:16,173] - INFO: Epoch 5442/9999, Iter 272060: Loss = 0.01340748742222786, lr = [5e-05] +[2024-05-21 19:28:43,835] - INFO: Epoch 5442/9999, Iter 272080: Loss = 0.014085065573453903, lr = [5e-05] +[2024-05-21 19:29:13,253] - INFO: Epoch 5443/9999, Iter 272100: Loss = 0.011370141990482807, lr = [5e-05] +[2024-05-21 19:29:41,424] - INFO: Epoch 5443/9999, Iter 272120: Loss = 0.014664203859865665, lr = [5e-05] +[2024-05-21 19:30:08,719] - INFO: Epoch 5443/9999, Iter 272140: Loss = 0.010498625226318836, lr = [5e-05] +[2024-05-21 19:30:37,802] - INFO: Epoch 5444/9999, Iter 272160: Loss = 0.01395089365541935, lr = [5e-05] +[2024-05-21 19:31:05,381] - INFO: Epoch 5444/9999, Iter 272180: Loss = 0.0123521089553833, lr = [5e-05] +[2024-05-21 19:31:35,054] - INFO: Epoch 5445/9999, Iter 272200: Loss = 0.012112225405871868, lr = [5e-05] +[2024-05-21 19:32:03,314] - INFO: Epoch 5445/9999, Iter 272220: Loss = 0.014152389951050282, lr = [5e-05] +[2024-05-21 19:32:30,102] - INFO: Epoch 5445/9999, Iter 272240: Loss = 0.013539955019950867, lr = [5e-05] +[2024-05-21 19:32:42,544] - INFO: Evaluate at epoch 5445! +[2024-05-21 19:32:46,555] - INFO: Eval PSNR (max): 38.036 (5340) SSIM (max): 0.9611 (5335) +[2024-05-21 19:32:46,555] - INFO: Eval PSNR (current): 38.001 (5445) SSIM (current): 0.9608 (5445) +[2024-05-21 19:32:46,555] - INFO: Evaluation over. +[2024-05-21 19:33:04,858] - INFO: Epoch 5446/9999, Iter 272260: Loss = 0.01462537795305252, lr = [5e-05] +[2024-05-21 19:33:32,672] - INFO: Epoch 5446/9999, Iter 272280: Loss = 0.006976654753088951, lr = [5e-05] +[2024-05-21 19:34:01,947] - INFO: Epoch 5447/9999, Iter 272300: Loss = 0.014067159965634346, lr = [5e-05] +[2024-05-21 19:34:30,846] - INFO: Epoch 5447/9999, Iter 272320: Loss = 0.014282758347690105, lr = [5e-05] +[2024-05-21 19:34:58,256] - INFO: Epoch 5447/9999, Iter 272340: Loss = 0.010149329900741577, lr = [5e-05] +[2024-05-21 19:35:27,591] - INFO: Epoch 5448/9999, Iter 272360: Loss = 0.015369106084108353, lr = [5e-05] +[2024-05-21 19:35:55,119] - INFO: Epoch 5448/9999, Iter 272380: Loss = 0.01636469177901745, lr = [5e-05] +[2024-05-21 19:36:23,915] - INFO: Epoch 5449/9999, Iter 272400: Loss = 0.017764532938599586, lr = [5e-05] +[2024-05-21 19:36:51,487] - INFO: Epoch 5449/9999, Iter 272420: Loss = 0.014737585559487343, lr = [5e-05] +[2024-05-21 19:37:19,371] - INFO: Epoch 5449/9999, Iter 272440: Loss = 0.013434248976409435, lr = [5e-05] +[2024-05-21 19:37:48,195] - INFO: Epoch 5450/9999, Iter 272460: Loss = 0.013379749841988087, lr = [5e-05] +[2024-05-21 19:38:15,579] - INFO: Epoch 5450/9999, Iter 272480: Loss = 0.009608984924852848, lr = [5e-05] +[2024-05-21 19:38:42,323] - INFO: Evaluate at epoch 5450! +[2024-05-21 19:38:46,327] - INFO: Eval PSNR (max): 38.036 (5340) SSIM (max): 0.9611 (5335) +[2024-05-21 19:38:46,327] - INFO: Eval PSNR (current): 38.016 (5450) SSIM (current): 0.9609 (5450) +[2024-05-21 19:38:46,327] - INFO: Evaluation over. +[2024-05-21 19:38:50,975] - INFO: Epoch 5451/9999, Iter 272500: Loss = 0.010671341791749, lr = [5e-05] +[2024-05-21 19:39:17,911] - INFO: Epoch 5451/9999, Iter 272520: Loss = 0.010252421721816063, lr = [5e-05] +[2024-05-21 19:39:45,397] - INFO: Epoch 5451/9999, Iter 272540: Loss = 0.01274759229272604, lr = [5e-05] +[2024-05-21 19:40:14,468] - INFO: Epoch 5452/9999, Iter 272560: Loss = 0.010645724833011627, lr = [5e-05] +[2024-05-21 19:40:42,225] - INFO: Epoch 5452/9999, Iter 272580: Loss = 0.015277363359928131, lr = [5e-05] +[2024-05-21 19:41:11,418] - INFO: Epoch 5453/9999, Iter 272600: Loss = 0.012043922208249569, lr = [5e-05] +[2024-05-21 19:41:39,539] - INFO: Epoch 5453/9999, Iter 272620: Loss = 0.014361226931214333, lr = [5e-05] +[2024-05-21 19:42:07,787] - INFO: Epoch 5453/9999, Iter 272640: Loss = 0.014326180331408978, lr = [5e-05] +[2024-05-21 19:42:35,875] - INFO: Epoch 5454/9999, Iter 272660: Loss = 0.013146956451237202, lr = [5e-05] +[2024-05-21 19:43:04,039] - INFO: Epoch 5454/9999, Iter 272680: Loss = 0.014231116510927677, lr = [5e-05] +[2024-05-21 19:43:33,202] - INFO: Epoch 5455/9999, Iter 272700: Loss = 0.01587674207985401, lr = [5e-05] +[2024-05-21 19:44:01,393] - INFO: Epoch 5455/9999, Iter 272720: Loss = 0.008882718160748482, lr = [5e-05] +[2024-05-21 19:44:29,521] - INFO: Epoch 5455/9999, Iter 272740: Loss = 0.012522147968411446, lr = [5e-05] +[2024-05-21 19:44:41,495] - INFO: Evaluate at epoch 5455! +[2024-05-21 19:44:45,635] - INFO: Eval PSNR (max): 38.036 (5340) SSIM (max): 0.9611 (5335) +[2024-05-21 19:44:45,636] - INFO: Eval PSNR (current): 38.012 (5455) SSIM (current): 0.9609 (5455) +[2024-05-21 19:44:45,636] - INFO: Evaluation over. +[2024-05-21 19:45:03,323] - INFO: Epoch 5456/9999, Iter 272760: Loss = 0.014042341150343418, lr = [5e-05] +[2024-05-21 19:45:30,805] - INFO: Epoch 5456/9999, Iter 272780: Loss = 0.017300555482506752, lr = [5e-05] +[2024-05-21 19:45:59,293] - INFO: Epoch 5457/9999, Iter 272800: Loss = 0.014046058058738708, lr = [5e-05] +[2024-05-21 19:46:27,392] - INFO: Epoch 5457/9999, Iter 272820: Loss = 0.015392648056149483, lr = [5e-05] +[2024-05-21 19:46:54,207] - INFO: Epoch 5457/9999, Iter 272840: Loss = 0.014028624631464481, lr = [5e-05] +[2024-05-21 19:47:23,987] - INFO: Epoch 5458/9999, Iter 272860: Loss = 0.013874484226107597, lr = [5e-05] +[2024-05-21 19:47:53,104] - INFO: Epoch 5458/9999, Iter 272880: Loss = 0.011704741045832634, lr = [5e-05] +[2024-05-21 19:48:21,055] - INFO: Epoch 5459/9999, Iter 272900: Loss = 0.0158203337341547, lr = [5e-05] +[2024-05-21 19:48:49,375] - INFO: Epoch 5459/9999, Iter 272920: Loss = 0.009479451924562454, lr = [5e-05] +[2024-05-21 19:49:17,363] - INFO: Epoch 5459/9999, Iter 272940: Loss = 0.011216850019991398, lr = [5e-05] +[2024-05-21 19:49:45,963] - INFO: Epoch 5460/9999, Iter 272960: Loss = 0.013040539808571339, lr = [5e-05] +[2024-05-21 19:50:14,515] - INFO: Epoch 5460/9999, Iter 272980: Loss = 0.016273899003863335, lr = [5e-05] +[2024-05-21 19:50:40,671] - INFO: Evaluate at epoch 5460! +[2024-05-21 19:50:44,677] - INFO: Eval PSNR (max): 38.036 (5340) SSIM (max): 0.9611 (5335) +[2024-05-21 19:50:44,677] - INFO: Eval PSNR (current): 38.034 (5460) SSIM (current): 0.9609 (5460) +[2024-05-21 19:50:44,677] - INFO: Evaluation over. +[2024-05-21 19:50:48,962] - INFO: Epoch 5461/9999, Iter 273000: Loss = 0.015077614225447178, lr = [5e-05] +[2024-05-21 19:51:17,305] - INFO: Epoch 5461/9999, Iter 273020: Loss = 0.014973717741668224, lr = [5e-05] +[2024-05-21 19:51:45,813] - INFO: Epoch 5461/9999, Iter 273040: Loss = 0.013223045505583286, lr = [5e-05] +[2024-05-21 19:52:13,745] - INFO: Epoch 5462/9999, Iter 273060: Loss = 0.015240790322422981, lr = [5e-05] +[2024-05-21 19:52:40,615] - INFO: Epoch 5462/9999, Iter 273080: Loss = 0.014769759960472584, lr = [5e-05] +[2024-05-21 19:53:10,247] - INFO: Epoch 5463/9999, Iter 273100: Loss = 0.016861064359545708, lr = [5e-05] +[2024-05-21 19:53:37,086] - INFO: Epoch 5463/9999, Iter 273120: Loss = 0.010313048027455807, lr = [5e-05] +[2024-05-21 19:54:04,476] - INFO: Epoch 5463/9999, Iter 273140: Loss = 0.01003183051943779, lr = [5e-05] +[2024-05-21 19:54:33,651] - INFO: Epoch 5464/9999, Iter 273160: Loss = 0.009864742867648602, lr = [5e-05] +[2024-05-21 19:55:00,652] - INFO: Epoch 5464/9999, Iter 273180: Loss = 0.010860235430300236, lr = [5e-05] +[2024-05-21 19:55:29,707] - INFO: Epoch 5465/9999, Iter 273200: Loss = 0.008559992536902428, lr = [5e-05] +[2024-05-21 19:55:57,904] - INFO: Epoch 5465/9999, Iter 273220: Loss = 0.015485405921936035, lr = [5e-05] +[2024-05-21 19:56:25,801] - INFO: Epoch 5465/9999, Iter 273240: Loss = 0.011882228776812553, lr = [5e-05] +[2024-05-21 19:56:37,980] - INFO: Evaluate at epoch 5465! +[2024-05-21 19:56:42,032] - INFO: Eval PSNR (max): 38.036 (5340) SSIM (max): 0.9611 (5335) +[2024-05-21 19:56:42,032] - INFO: Eval PSNR (current): 38.013 (5465) SSIM (current): 0.9609 (5465) +[2024-05-21 19:56:42,032] - INFO: Evaluation over. +[2024-05-21 19:57:00,530] - INFO: Epoch 5466/9999, Iter 273260: Loss = 0.015059120021760464, lr = [5e-05] +[2024-05-21 19:57:28,979] - INFO: Epoch 5466/9999, Iter 273280: Loss = 0.013752729631960392, lr = [5e-05] +[2024-05-21 19:57:57,794] - INFO: Epoch 5467/9999, Iter 273300: Loss = 0.011974023655056953, lr = [5e-05] +[2024-05-21 19:58:25,982] - INFO: Epoch 5467/9999, Iter 273320: Loss = 0.012807222083210945, lr = [5e-05] +[2024-05-21 19:58:53,832] - INFO: Epoch 5467/9999, Iter 273340: Loss = 0.013484781607985497, lr = [5e-05] +[2024-05-21 19:59:22,047] - INFO: Epoch 5468/9999, Iter 273360: Loss = 0.014444597065448761, lr = [5e-05] +[2024-05-21 19:59:49,339] - INFO: Epoch 5468/9999, Iter 273380: Loss = 0.011544954031705856, lr = [5e-05] +[2024-05-21 20:00:18,316] - INFO: Epoch 5469/9999, Iter 273400: Loss = 0.00953296571969986, lr = [5e-05] +[2024-05-21 20:00:46,147] - INFO: Epoch 5469/9999, Iter 273420: Loss = 0.011675829999148846, lr = [5e-05] +[2024-05-21 20:01:12,901] - INFO: Epoch 5469/9999, Iter 273440: Loss = 0.013657402247190475, lr = [5e-05] +[2024-05-21 20:01:42,223] - INFO: Epoch 5470/9999, Iter 273460: Loss = 0.010120720602571964, lr = [5e-05] +[2024-05-21 20:02:10,354] - INFO: Epoch 5470/9999, Iter 273480: Loss = 0.010999621823430061, lr = [5e-05] +[2024-05-21 20:02:36,456] - INFO: Evaluate at epoch 5470! +[2024-05-21 20:02:40,506] - INFO: Eval PSNR (max): 38.036 (5340) SSIM (max): 0.9611 (5335) +[2024-05-21 20:02:40,507] - INFO: Eval PSNR (current): 38.030 (5470) SSIM (current): 0.9609 (5470) +[2024-05-21 20:02:40,507] - INFO: Evaluation over. +[2024-05-21 20:02:45,112] - INFO: Epoch 5471/9999, Iter 273500: Loss = 0.012390423566102982, lr = [5e-05] +[2024-05-21 20:03:12,699] - INFO: Epoch 5471/9999, Iter 273520: Loss = 0.01403817255049944, lr = [5e-05] +[2024-05-21 20:03:40,203] - INFO: Epoch 5471/9999, Iter 273540: Loss = 0.014382638037204742, lr = [5e-05] +[2024-05-21 20:04:09,280] - INFO: Epoch 5472/9999, Iter 273560: Loss = 0.01192533690482378, lr = [5e-05] +[2024-05-21 20:04:37,044] - INFO: Epoch 5472/9999, Iter 273580: Loss = 0.01016760803759098, lr = [5e-05] +[2024-05-21 20:05:05,262] - INFO: Epoch 5473/9999, Iter 273600: Loss = 0.01689283922314644, lr = [5e-05] +[2024-05-21 20:05:32,799] - INFO: Epoch 5473/9999, Iter 273620: Loss = 0.01478581503033638, lr = [5e-05] +[2024-05-21 20:06:00,195] - INFO: Epoch 5473/9999, Iter 273640: Loss = 0.012865726836025715, lr = [5e-05] +[2024-05-21 20:06:29,479] - INFO: Epoch 5474/9999, Iter 273660: Loss = 0.010139231570065022, lr = [5e-05] +[2024-05-21 20:06:55,712] - INFO: Epoch 5474/9999, Iter 273680: Loss = 0.01769803836941719, lr = [5e-05] +[2024-05-21 20:07:24,447] - INFO: Epoch 5475/9999, Iter 273700: Loss = 0.016688592731952667, lr = [5e-05] +[2024-05-21 20:07:51,883] - INFO: Epoch 5475/9999, Iter 273720: Loss = 0.011152753606438637, lr = [5e-05] +[2024-05-21 20:08:19,299] - INFO: Epoch 5475/9999, Iter 273740: Loss = 0.011523024179041386, lr = [5e-05] +[2024-05-21 20:08:31,891] - INFO: Evaluate at epoch 5475! +[2024-05-21 20:08:35,897] - INFO: Eval PSNR (max): 38.036 (5340) SSIM (max): 0.9611 (5335) +[2024-05-21 20:08:35,897] - INFO: Eval PSNR (current): 37.968 (5475) SSIM (current): 0.9608 (5475) +[2024-05-21 20:08:35,898] - INFO: Evaluation over. +[2024-05-21 20:08:54,551] - INFO: Epoch 5476/9999, Iter 273760: Loss = 0.009916054084897041, lr = [5e-05] +[2024-05-21 20:09:22,878] - INFO: Epoch 5476/9999, Iter 273780: Loss = 0.014118660241365433, lr = [5e-05] +[2024-05-21 20:09:51,354] - INFO: Epoch 5477/9999, Iter 273800: Loss = 0.007342096418142319, lr = [5e-05] +[2024-05-21 20:10:19,447] - INFO: Epoch 5477/9999, Iter 273820: Loss = 0.013006621040403843, lr = [5e-05] +[2024-05-21 20:10:46,448] - INFO: Epoch 5477/9999, Iter 273840: Loss = 0.009696577675640583, lr = [5e-05] +[2024-05-21 20:11:14,484] - INFO: Epoch 5478/9999, Iter 273860: Loss = 0.012138251215219498, lr = [5e-05] +[2024-05-21 20:11:41,790] - INFO: Epoch 5478/9999, Iter 273880: Loss = 0.015372229740023613, lr = [5e-05] +[2024-05-21 20:12:10,897] - INFO: Epoch 5479/9999, Iter 273900: Loss = 0.009710351005196571, lr = [5e-05] +[2024-05-21 20:12:38,539] - INFO: Epoch 5479/9999, Iter 273920: Loss = 0.010402494110167027, lr = [5e-05] +[2024-05-21 20:13:05,664] - INFO: Epoch 5479/9999, Iter 273940: Loss = 0.012220602482557297, lr = [5e-05] +[2024-05-21 20:13:35,110] - INFO: Epoch 5480/9999, Iter 273960: Loss = 0.011907366104424, lr = [5e-05] +[2024-05-21 20:14:02,768] - INFO: Epoch 5480/9999, Iter 273980: Loss = 0.015889795497059822, lr = [5e-05] +[2024-05-21 20:14:29,308] - INFO: Evaluate at epoch 5480! +[2024-05-21 20:14:33,314] - INFO: Eval PSNR (max): 38.036 (5340) SSIM (max): 0.9611 (5335) +[2024-05-21 20:14:33,314] - INFO: Eval PSNR (current): 37.999 (5480) SSIM (current): 0.9608 (5480) +[2024-05-21 20:14:33,314] - INFO: Evaluation over. +[2024-05-21 20:14:38,013] - INFO: Epoch 5481/9999, Iter 274000: Loss = 0.012267468497157097, lr = [5e-05] +[2024-05-21 20:15:06,376] - INFO: Epoch 5481/9999, Iter 274020: Loss = 0.01080460287630558, lr = [5e-05] +[2024-05-21 20:15:34,013] - INFO: Epoch 5481/9999, Iter 274040: Loss = 0.00891552958637476, lr = [5e-05] +[2024-05-21 20:16:02,839] - INFO: Epoch 5482/9999, Iter 274060: Loss = 0.014272159896790981, lr = [5e-05] +[2024-05-21 20:16:31,314] - INFO: Epoch 5482/9999, Iter 274080: Loss = 0.010917446576058865, lr = [5e-05] +[2024-05-21 20:17:00,191] - INFO: Epoch 5483/9999, Iter 274100: Loss = 0.009665084071457386, lr = [5e-05] +[2024-05-21 20:17:26,749] - INFO: Epoch 5483/9999, Iter 274120: Loss = 0.01166799757629633, lr = [5e-05] +[2024-05-21 20:17:54,729] - INFO: Epoch 5483/9999, Iter 274140: Loss = 0.01200916152447462, lr = [5e-05] +[2024-05-21 20:18:24,179] - INFO: Epoch 5484/9999, Iter 274160: Loss = 0.010130668058991432, lr = [5e-05] +[2024-05-21 20:18:52,993] - INFO: Epoch 5484/9999, Iter 274180: Loss = 0.014805298298597336, lr = [5e-05] +[2024-05-21 20:19:21,403] - INFO: Epoch 5485/9999, Iter 274200: Loss = 0.01145472377538681, lr = [5e-05] +[2024-05-21 20:19:49,335] - INFO: Epoch 5485/9999, Iter 274220: Loss = 0.015765294432640076, lr = [5e-05] +[2024-05-21 20:20:17,207] - INFO: Epoch 5485/9999, Iter 274240: Loss = 0.01628977246582508, lr = [5e-05] +[2024-05-21 20:20:29,075] - INFO: Evaluate at epoch 5485! +[2024-05-21 20:20:33,082] - INFO: Eval PSNR (max): 38.036 (5340) SSIM (max): 0.9611 (5335) +[2024-05-21 20:20:33,082] - INFO: Eval PSNR (current): 38.019 (5485) SSIM (current): 0.9609 (5485) +[2024-05-21 20:20:33,082] - INFO: Evaluation over. +[2024-05-21 20:20:50,725] - INFO: Epoch 5486/9999, Iter 274260: Loss = 0.011908668093383312, lr = [5e-05] +[2024-05-21 20:21:17,899] - INFO: Epoch 5486/9999, Iter 274280: Loss = 0.016033444553613663, lr = [5e-05] +[2024-05-21 20:21:46,732] - INFO: Epoch 5487/9999, Iter 274300: Loss = 0.011974574998021126, lr = [5e-05] +[2024-05-21 20:22:14,125] - INFO: Epoch 5487/9999, Iter 274320: Loss = 0.012053702026605606, lr = [5e-05] +[2024-05-21 20:22:41,755] - INFO: Epoch 5487/9999, Iter 274340: Loss = 0.01590292528271675, lr = [5e-05] +[2024-05-21 20:23:10,623] - INFO: Epoch 5488/9999, Iter 274360: Loss = 0.01281020138412714, lr = [5e-05] +[2024-05-21 20:23:38,671] - INFO: Epoch 5488/9999, Iter 274380: Loss = 0.007949329912662506, lr = [5e-05] +[2024-05-21 20:24:07,763] - INFO: Epoch 5489/9999, Iter 274400: Loss = 0.01081197988241911, lr = [5e-05] +[2024-05-21 20:24:35,823] - INFO: Epoch 5489/9999, Iter 274420: Loss = 0.008769030682742596, lr = [5e-05] +[2024-05-21 20:25:03,083] - INFO: Epoch 5489/9999, Iter 274440: Loss = 0.01098588202148676, lr = [5e-05] +[2024-05-21 20:25:32,331] - INFO: Epoch 5490/9999, Iter 274460: Loss = 0.008318065665662289, lr = [5e-05] +[2024-05-21 20:26:00,306] - INFO: Epoch 5490/9999, Iter 274480: Loss = 0.011542649008333683, lr = [5e-05] +[2024-05-21 20:26:26,189] - INFO: Evaluate at epoch 5490! +[2024-05-21 20:26:30,198] - INFO: Eval PSNR (max): 38.036 (5340) SSIM (max): 0.9611 (5335) +[2024-05-21 20:26:30,198] - INFO: Eval PSNR (current): 37.994 (5490) SSIM (current): 0.9608 (5490) +[2024-05-21 20:26:30,198] - INFO: Evaluation over. +[2024-05-21 20:26:34,738] - INFO: Epoch 5491/9999, Iter 274500: Loss = 0.012804309837520123, lr = [5e-05] +[2024-05-21 20:27:01,731] - INFO: Epoch 5491/9999, Iter 274520: Loss = 0.01588984951376915, lr = [5e-05] +[2024-05-21 20:27:29,160] - INFO: Epoch 5491/9999, Iter 274540: Loss = 0.015783248469233513, lr = [5e-05] +[2024-05-21 20:27:57,905] - INFO: Epoch 5492/9999, Iter 274560: Loss = 0.010611764155328274, lr = [5e-05] +[2024-05-21 20:28:25,444] - INFO: Epoch 5492/9999, Iter 274580: Loss = 0.008946986868977547, lr = [5e-05] +[2024-05-21 20:28:53,923] - INFO: Epoch 5493/9999, Iter 274600: Loss = 0.015845371410250664, lr = [5e-05] +[2024-05-21 20:29:20,653] - INFO: Epoch 5493/9999, Iter 274620: Loss = 0.009873192757368088, lr = [5e-05] +[2024-05-21 20:29:49,055] - INFO: Epoch 5493/9999, Iter 274640: Loss = 0.01584458164870739, lr = [5e-05] +[2024-05-21 20:30:18,057] - INFO: Epoch 5494/9999, Iter 274660: Loss = 0.015402395278215408, lr = [5e-05] +[2024-05-21 20:30:45,561] - INFO: Epoch 5494/9999, Iter 274680: Loss = 0.014576449990272522, lr = [5e-05] +[2024-05-21 20:31:14,598] - INFO: Epoch 5495/9999, Iter 274700: Loss = 0.013662527315318584, lr = [5e-05] +[2024-05-21 20:31:41,157] - INFO: Epoch 5495/9999, Iter 274720: Loss = 0.014880716800689697, lr = [5e-05] +[2024-05-21 20:32:08,923] - INFO: Epoch 5495/9999, Iter 274740: Loss = 0.02090611308813095, lr = [5e-05] +[2024-05-21 20:32:21,590] - INFO: Evaluate at epoch 5495! +[2024-05-21 20:32:25,604] - INFO: Eval PSNR (max): 38.036 (5340) SSIM (max): 0.9611 (5335) +[2024-05-21 20:32:25,604] - INFO: Eval PSNR (current): 38.012 (5495) SSIM (current): 0.9608 (5495) +[2024-05-21 20:32:25,604] - INFO: Evaluation over. +[2024-05-21 20:32:43,931] - INFO: Epoch 5496/9999, Iter 274760: Loss = 0.01093083806335926, lr = [5e-05] +[2024-05-21 20:33:10,966] - INFO: Epoch 5496/9999, Iter 274780: Loss = 0.009293975308537483, lr = [5e-05] +[2024-05-21 20:33:40,038] - INFO: Epoch 5497/9999, Iter 274800: Loss = 0.012390587478876114, lr = [5e-05] +[2024-05-21 20:34:08,150] - INFO: Epoch 5497/9999, Iter 274820: Loss = 0.013960408978164196, lr = [5e-05] +[2024-05-21 20:34:36,302] - INFO: Epoch 5497/9999, Iter 274840: Loss = 0.009345758706331253, lr = [5e-05] +[2024-05-21 20:35:04,975] - INFO: Epoch 5498/9999, Iter 274860: Loss = 0.005149004515260458, lr = [5e-05] +[2024-05-21 20:35:32,698] - INFO: Epoch 5498/9999, Iter 274880: Loss = 0.011101579293608665, lr = [5e-05] +[2024-05-21 20:36:02,009] - INFO: Epoch 5499/9999, Iter 274900: Loss = 0.012761484831571579, lr = [5e-05] +[2024-05-21 20:36:30,167] - INFO: Epoch 5499/9999, Iter 274920: Loss = 0.01042947731912136, lr = [5e-05] +[2024-05-21 20:36:58,019] - INFO: Epoch 5499/9999, Iter 274940: Loss = 0.011732345446944237, lr = [5e-05] +[2024-05-21 20:37:26,566] - INFO: Epoch 5500/9999, Iter 274960: Loss = 0.011700058355927467, lr = [5e-05] +[2024-05-21 20:37:53,411] - INFO: Epoch 5500/9999, Iter 274980: Loss = 0.016597788780927658, lr = [5e-05] +[2024-05-21 20:38:19,512] - INFO: Evaluate at epoch 5500! +[2024-05-21 20:38:23,517] - INFO: Eval PSNR (max): 38.036 (5340) SSIM (max): 0.9611 (5335) +[2024-05-21 20:38:23,517] - INFO: Eval PSNR (current): 38.031 (5500) SSIM (current): 0.9608 (5500) +[2024-05-21 20:38:23,517] - INFO: Evaluation over. +[2024-05-21 20:38:28,390] - INFO: Epoch 5501/9999, Iter 275000: Loss = 0.009983725845813751, lr = [5e-05] +[2024-05-21 20:38:54,757] - INFO: Epoch 5501/9999, Iter 275020: Loss = 0.013367787003517151, lr = [5e-05] +[2024-05-21 20:39:22,160] - INFO: Epoch 5501/9999, Iter 275040: Loss = 0.01230563409626484, lr = [5e-05] +[2024-05-21 20:39:52,379] - INFO: Epoch 5502/9999, Iter 275060: Loss = 0.014095035381615162, lr = [5e-05] +[2024-05-21 20:40:19,795] - INFO: Epoch 5502/9999, Iter 275080: Loss = 0.01610441505908966, lr = [5e-05] +[2024-05-21 20:40:48,851] - INFO: Epoch 5503/9999, Iter 275100: Loss = 0.009886574000120163, lr = [5e-05] +[2024-05-21 20:41:16,639] - INFO: Epoch 5503/9999, Iter 275120: Loss = 0.01750604808330536, lr = [5e-05] +[2024-05-21 20:41:44,768] - INFO: Epoch 5503/9999, Iter 275140: Loss = 0.012363659217953682, lr = [5e-05] +[2024-05-21 20:42:13,985] - INFO: Epoch 5504/9999, Iter 275160: Loss = 0.008004305884242058, lr = [5e-05] +[2024-05-21 20:42:41,877] - INFO: Epoch 5504/9999, Iter 275180: Loss = 0.010330043733119965, lr = [5e-05] +[2024-05-21 20:43:10,977] - INFO: Epoch 5505/9999, Iter 275200: Loss = 0.022591201588511467, lr = [5e-05] +[2024-05-21 20:43:38,947] - INFO: Epoch 5505/9999, Iter 275220: Loss = 0.011944269761443138, lr = [5e-05] +[2024-05-21 20:44:07,496] - INFO: Epoch 5505/9999, Iter 275240: Loss = 0.01843959279358387, lr = [5e-05] +[2024-05-21 20:44:19,228] - INFO: Evaluate at epoch 5505! +[2024-05-21 20:44:23,240] - INFO: Eval PSNR (max): 38.036 (5340) SSIM (max): 0.9611 (5335) +[2024-05-21 20:44:23,240] - INFO: Eval PSNR (current): 38.005 (5505) SSIM (current): 0.9609 (5505) +[2024-05-21 20:44:23,240] - INFO: Evaluation over. +[2024-05-21 20:44:41,390] - INFO: Epoch 5506/9999, Iter 275260: Loss = 0.01117199007421732, lr = [5e-05] +[2024-05-21 20:45:09,359] - INFO: Epoch 5506/9999, Iter 275280: Loss = 0.01287691481411457, lr = [5e-05] +[2024-05-21 20:45:37,763] - INFO: Epoch 5507/9999, Iter 275300: Loss = 0.011283140629529953, lr = [5e-05] +[2024-05-21 20:46:05,698] - INFO: Epoch 5507/9999, Iter 275320: Loss = 0.011274960823357105, lr = [5e-05] +[2024-05-21 20:46:33,775] - INFO: Epoch 5507/9999, Iter 275340: Loss = 0.01210393663495779, lr = [5e-05] +[2024-05-21 20:47:02,419] - INFO: Epoch 5508/9999, Iter 275360: Loss = 0.01312282681465149, lr = [5e-05] +[2024-05-21 20:47:29,367] - INFO: Epoch 5508/9999, Iter 275380: Loss = 0.013589818961918354, lr = [5e-05] +[2024-05-21 20:47:58,447] - INFO: Epoch 5509/9999, Iter 275400: Loss = 0.012295618653297424, lr = [5e-05] +[2024-05-21 20:48:25,884] - INFO: Epoch 5509/9999, Iter 275420: Loss = 0.010327579453587532, lr = [5e-05] +[2024-05-21 20:48:53,466] - INFO: Epoch 5509/9999, Iter 275440: Loss = 0.011041906662285328, lr = [5e-05] +[2024-05-21 20:49:23,363] - INFO: Epoch 5510/9999, Iter 275460: Loss = 0.011405708268284798, lr = [5e-05] +[2024-05-21 20:49:51,186] - INFO: Epoch 5510/9999, Iter 275480: Loss = 0.017438573762774467, lr = [5e-05] +[2024-05-21 20:50:17,360] - INFO: Evaluate at epoch 5510! +[2024-05-21 20:50:21,373] - INFO: Eval PSNR (max): 38.036 (5340) SSIM (max): 0.9611 (5335) +[2024-05-21 20:50:21,373] - INFO: Eval PSNR (current): 38.019 (5510) SSIM (current): 0.9608 (5510) +[2024-05-21 20:50:21,373] - INFO: Evaluation over. +[2024-05-21 20:50:25,816] - INFO: Epoch 5511/9999, Iter 275500: Loss = 0.013556230813264847, lr = [5e-05] +[2024-05-21 20:50:53,859] - INFO: Epoch 5511/9999, Iter 275520: Loss = 0.0069166929461061954, lr = [5e-05] +[2024-05-21 20:51:23,032] - INFO: Epoch 5511/9999, Iter 275540: Loss = 0.011995494365692139, lr = [5e-05] +[2024-05-21 20:51:50,324] - INFO: Epoch 5512/9999, Iter 275560: Loss = 0.016154201701283455, lr = [5e-05] +[2024-05-21 20:52:17,772] - INFO: Epoch 5512/9999, Iter 275580: Loss = 0.011663991957902908, lr = [5e-05] +[2024-05-21 20:52:46,311] - INFO: Epoch 5513/9999, Iter 275600: Loss = 0.009722945280373096, lr = [5e-05] +[2024-05-21 20:53:13,907] - INFO: Epoch 5513/9999, Iter 275620: Loss = 0.012807448394596577, lr = [5e-05] +[2024-05-21 20:53:41,719] - INFO: Epoch 5513/9999, Iter 275640: Loss = 0.01728062331676483, lr = [5e-05] +[2024-05-21 20:54:11,080] - INFO: Epoch 5514/9999, Iter 275660: Loss = 0.011046623811125755, lr = [5e-05] +[2024-05-21 20:54:39,023] - INFO: Epoch 5514/9999, Iter 275680: Loss = 0.012081891298294067, lr = [5e-05] +[2024-05-21 20:55:08,343] - INFO: Epoch 5515/9999, Iter 275700: Loss = 0.011656240560114384, lr = [5e-05] +[2024-05-21 20:55:36,115] - INFO: Epoch 5515/9999, Iter 275720: Loss = 0.014931689016520977, lr = [5e-05] +[2024-05-21 20:56:04,705] - INFO: Epoch 5515/9999, Iter 275740: Loss = 0.00917997770011425, lr = [5e-05] +[2024-05-21 20:56:16,635] - INFO: Evaluate at epoch 5515! +[2024-05-21 20:56:20,645] - INFO: Eval PSNR (max): 38.036 (5340) SSIM (max): 0.9611 (5335) +[2024-05-21 20:56:20,645] - INFO: Eval PSNR (current): 38.011 (5515) SSIM (current): 0.9609 (5515) +[2024-05-21 20:56:20,645] - INFO: Evaluation over. +[2024-05-21 20:56:38,729] - INFO: Epoch 5516/9999, Iter 275760: Loss = 0.01087279710918665, lr = [5e-05] +[2024-05-21 20:57:06,461] - INFO: Epoch 5516/9999, Iter 275780: Loss = 0.009523117914795876, lr = [5e-05] +[2024-05-21 20:57:35,795] - INFO: Epoch 5517/9999, Iter 275800: Loss = 0.007496302016079426, lr = [5e-05] +[2024-05-21 20:58:03,018] - INFO: Epoch 5517/9999, Iter 275820: Loss = 0.013413630425930023, lr = [5e-05] +[2024-05-21 20:58:31,647] - INFO: Epoch 5517/9999, Iter 275840: Loss = 0.0169062577188015, lr = [5e-05] +[2024-05-21 20:59:01,148] - INFO: Epoch 5518/9999, Iter 275860: Loss = 0.012393674813210964, lr = [5e-05] +[2024-05-21 20:59:28,890] - INFO: Epoch 5518/9999, Iter 275880: Loss = 0.013284698128700256, lr = [5e-05] +[2024-05-21 20:59:58,070] - INFO: Epoch 5519/9999, Iter 275900: Loss = 0.011296311393380165, lr = [5e-05] +[2024-05-21 21:00:25,823] - INFO: Epoch 5519/9999, Iter 275920: Loss = 0.015887226909399033, lr = [5e-05] +[2024-05-21 21:00:53,391] - INFO: Epoch 5519/9999, Iter 275940: Loss = 0.00969641748815775, lr = [5e-05] +[2024-05-21 21:01:21,711] - INFO: Epoch 5520/9999, Iter 275960: Loss = 0.01696513034403324, lr = [5e-05] +[2024-05-21 21:01:49,755] - INFO: Epoch 5520/9999, Iter 275980: Loss = 0.013542464934289455, lr = [5e-05] +[2024-05-21 21:02:16,237] - INFO: Evaluate at epoch 5520! +[2024-05-21 21:02:20,250] - INFO: Eval PSNR (max): 38.036 (5340) SSIM (max): 0.9611 (5335) +[2024-05-21 21:02:20,250] - INFO: Eval PSNR (current): 37.980 (5520) SSIM (current): 0.9607 (5520) +[2024-05-21 21:02:20,250] - INFO: Evaluation over. +[2024-05-21 21:02:24,606] - INFO: Epoch 5521/9999, Iter 276000: Loss = 0.013440064154565334, lr = [5e-05] +[2024-05-21 21:02:52,189] - INFO: Epoch 5521/9999, Iter 276020: Loss = 0.011284947395324707, lr = [5e-05] +[2024-05-21 21:03:18,963] - INFO: Epoch 5521/9999, Iter 276040: Loss = 0.0125886844471097, lr = [5e-05] +[2024-05-21 21:03:48,311] - INFO: Epoch 5522/9999, Iter 276060: Loss = 0.013489589095115662, lr = [5e-05] +[2024-05-21 21:04:16,266] - INFO: Epoch 5522/9999, Iter 276080: Loss = 0.011850028298795223, lr = [5e-05] +[2024-05-21 21:04:45,882] - INFO: Epoch 5523/9999, Iter 276100: Loss = 0.01026386208832264, lr = [5e-05] +[2024-05-21 21:05:13,873] - INFO: Epoch 5523/9999, Iter 276120: Loss = 0.012564562261104584, lr = [5e-05] +[2024-05-21 21:05:42,109] - INFO: Epoch 5523/9999, Iter 276140: Loss = 0.012028848752379417, lr = [5e-05] +[2024-05-21 21:06:10,198] - INFO: Epoch 5524/9999, Iter 276160: Loss = 0.01218076515942812, lr = [5e-05] +[2024-05-21 21:06:37,910] - INFO: Epoch 5524/9999, Iter 276180: Loss = 0.01310424879193306, lr = [5e-05] +[2024-05-21 21:07:07,615] - INFO: Epoch 5525/9999, Iter 276200: Loss = 0.017797566950321198, lr = [5e-05] +[2024-05-21 21:07:35,198] - INFO: Epoch 5525/9999, Iter 276220: Loss = 0.010969055816531181, lr = [5e-05] +[2024-05-21 21:08:03,565] - INFO: Epoch 5525/9999, Iter 276240: Loss = 0.013090766966342926, lr = [5e-05] +[2024-05-21 21:08:15,847] - INFO: Evaluate at epoch 5525! +[2024-05-21 21:08:19,850] - INFO: Eval PSNR (max): 38.036 (5340) SSIM (max): 0.9611 (5335) +[2024-05-21 21:08:19,850] - INFO: Eval PSNR (current): 37.979 (5525) SSIM (current): 0.9608 (5525) +[2024-05-21 21:08:19,850] - INFO: Evaluation over. +[2024-05-21 21:08:37,307] - INFO: Epoch 5526/9999, Iter 276260: Loss = 0.013837034814059734, lr = [5e-05] +[2024-05-21 21:09:04,871] - INFO: Epoch 5526/9999, Iter 276280: Loss = 0.01711874268949032, lr = [5e-05] +[2024-05-21 21:09:34,070] - INFO: Epoch 5527/9999, Iter 276300: Loss = 0.018126606941223145, lr = [5e-05] +[2024-05-21 21:10:02,467] - INFO: Epoch 5527/9999, Iter 276320: Loss = 0.011615709401667118, lr = [5e-05] +[2024-05-21 21:10:28,618] - INFO: Epoch 5527/9999, Iter 276340: Loss = 0.010018552653491497, lr = [5e-05] +[2024-05-21 21:10:57,343] - INFO: Epoch 5528/9999, Iter 276360: Loss = 0.009259562008082867, lr = [5e-05] +[2024-05-21 21:11:24,363] - INFO: Epoch 5528/9999, Iter 276380: Loss = 0.010922160930931568, lr = [5e-05] +[2024-05-21 21:11:53,875] - INFO: Epoch 5529/9999, Iter 276400: Loss = 0.008790677413344383, lr = [5e-05] +[2024-05-21 21:12:21,467] - INFO: Epoch 5529/9999, Iter 276420: Loss = 0.011175679974257946, lr = [5e-05] +[2024-05-21 21:12:49,377] - INFO: Epoch 5529/9999, Iter 276440: Loss = 0.010161967016756535, lr = [5e-05] +[2024-05-21 21:13:18,698] - INFO: Epoch 5530/9999, Iter 276460: Loss = 0.011748814024031162, lr = [5e-05] +[2024-05-21 21:13:47,432] - INFO: Epoch 5530/9999, Iter 276480: Loss = 0.011273810639977455, lr = [5e-05] +[2024-05-21 21:14:13,438] - INFO: Evaluate at epoch 5530! +[2024-05-21 21:14:17,449] - INFO: Eval PSNR (max): 38.036 (5340) SSIM (max): 0.9611 (5335) +[2024-05-21 21:14:17,449] - INFO: Eval PSNR (current): 38.021 (5530) SSIM (current): 0.9609 (5530) +[2024-05-21 21:14:17,449] - INFO: Evaluation over. +[2024-05-21 21:14:21,835] - INFO: Epoch 5531/9999, Iter 276500: Loss = 0.010183055885136127, lr = [5e-05] +[2024-05-21 21:14:49,852] - INFO: Epoch 5531/9999, Iter 276520: Loss = 0.010182537138462067, lr = [5e-05] +[2024-05-21 21:15:17,766] - INFO: Epoch 5531/9999, Iter 276540: Loss = 0.013519832864403725, lr = [5e-05] +[2024-05-21 21:15:47,516] - INFO: Epoch 5532/9999, Iter 276560: Loss = 0.013659493066370487, lr = [5e-05] +[2024-05-21 21:16:15,259] - INFO: Epoch 5532/9999, Iter 276580: Loss = 0.008170433342456818, lr = [5e-05] +[2024-05-21 21:16:43,654] - INFO: Epoch 5533/9999, Iter 276600: Loss = 0.01160418801009655, lr = [5e-05] +[2024-05-21 21:17:12,010] - INFO: Epoch 5533/9999, Iter 276620: Loss = 0.014399899169802666, lr = [5e-05] +[2024-05-21 21:17:39,757] - INFO: Epoch 5533/9999, Iter 276640: Loss = 0.014092893339693546, lr = [5e-05] +[2024-05-21 21:18:08,826] - INFO: Epoch 5534/9999, Iter 276660: Loss = 0.01709383726119995, lr = [5e-05] +[2024-05-21 21:18:36,239] - INFO: Epoch 5534/9999, Iter 276680: Loss = 0.017450347542762756, lr = [5e-05] +[2024-05-21 21:19:04,954] - INFO: Epoch 5535/9999, Iter 276700: Loss = 0.012344197370111942, lr = [5e-05] +[2024-05-21 21:19:33,136] - INFO: Epoch 5535/9999, Iter 276720: Loss = 0.014921670779585838, lr = [5e-05] +[2024-05-21 21:20:01,190] - INFO: Epoch 5535/9999, Iter 276740: Loss = 0.012454063631594181, lr = [5e-05] +[2024-05-21 21:20:13,247] - INFO: Evaluate at epoch 5535! +[2024-05-21 21:20:18,810] - INFO: Eval PSNR (max): 38.039 (5535) SSIM (max): 0.9611 (5335) +[2024-05-21 21:20:18,811] - INFO: Eval PSNR (current): 38.039 (5535) SSIM (current): 0.9610 (5535) +[2024-05-21 21:20:18,811] - INFO: Evaluation over. +[2024-05-21 21:20:37,045] - INFO: Epoch 5536/9999, Iter 276760: Loss = 0.009636664763092995, lr = [5e-05] +[2024-05-21 21:21:05,332] - INFO: Epoch 5536/9999, Iter 276780: Loss = 0.016041982918977737, lr = [5e-05] +[2024-05-21 21:21:34,227] - INFO: Epoch 5537/9999, Iter 276800: Loss = 0.016223367303609848, lr = [5e-05] +[2024-05-21 21:22:02,743] - INFO: Epoch 5537/9999, Iter 276820: Loss = 0.013057609088718891, lr = [5e-05] +[2024-05-21 21:22:30,479] - INFO: Epoch 5537/9999, Iter 276840: Loss = 0.009365121833980083, lr = [5e-05] +[2024-05-21 21:22:59,895] - INFO: Epoch 5538/9999, Iter 276860: Loss = 0.012159362435340881, lr = [5e-05] +[2024-05-21 21:23:27,452] - INFO: Epoch 5538/9999, Iter 276880: Loss = 0.01488242857158184, lr = [5e-05] +[2024-05-21 21:23:55,355] - INFO: Epoch 5539/9999, Iter 276900: Loss = 0.015035324729979038, lr = [5e-05] +[2024-05-21 21:24:23,551] - INFO: Epoch 5539/9999, Iter 276920: Loss = 0.010798751376569271, lr = [5e-05] +[2024-05-21 21:24:50,962] - INFO: Epoch 5539/9999, Iter 276940: Loss = 0.009444765746593475, lr = [5e-05] +[2024-05-21 21:25:20,627] - INFO: Epoch 5540/9999, Iter 276960: Loss = 0.012836644425988197, lr = [5e-05] +[2024-05-21 21:25:48,341] - INFO: Epoch 5540/9999, Iter 276980: Loss = 0.013286464847624302, lr = [5e-05] +[2024-05-21 21:26:14,918] - INFO: Evaluate at epoch 5540! +[2024-05-21 21:26:18,925] - INFO: Eval PSNR (max): 38.039 (5535) SSIM (max): 0.9611 (5335) +[2024-05-21 21:26:18,925] - INFO: Eval PSNR (current): 38.006 (5540) SSIM (current): 0.9608 (5540) +[2024-05-21 21:26:18,925] - INFO: Evaluation over. +[2024-05-21 21:26:23,287] - INFO: Epoch 5541/9999, Iter 277000: Loss = 0.011160435155034065, lr = [5e-05] +[2024-05-21 21:26:51,858] - INFO: Epoch 5541/9999, Iter 277020: Loss = 0.015307263471186161, lr = [5e-05] +[2024-05-21 21:27:19,547] - INFO: Epoch 5541/9999, Iter 277040: Loss = 0.012607877142727375, lr = [5e-05] +[2024-05-21 21:27:49,427] - INFO: Epoch 5542/9999, Iter 277060: Loss = 0.012585715390741825, lr = [5e-05] +[2024-05-21 21:28:17,381] - INFO: Epoch 5542/9999, Iter 277080: Loss = 0.01371755450963974, lr = [5e-05] +[2024-05-21 21:28:46,427] - INFO: Epoch 5543/9999, Iter 277100: Loss = 0.01251376885920763, lr = [5e-05] +[2024-05-21 21:29:14,153] - INFO: Epoch 5543/9999, Iter 277120: Loss = 0.010549992322921753, lr = [5e-05] +[2024-05-21 21:29:42,467] - INFO: Epoch 5543/9999, Iter 277140: Loss = 0.016519756987690926, lr = [5e-05] +[2024-05-21 21:30:11,046] - INFO: Epoch 5544/9999, Iter 277160: Loss = 0.0161387138068676, lr = [5e-05] +[2024-05-21 21:30:39,551] - INFO: Epoch 5544/9999, Iter 277180: Loss = 0.007000849582254887, lr = [5e-05] +[2024-05-21 21:31:08,954] - INFO: Epoch 5545/9999, Iter 277200: Loss = 0.013172052800655365, lr = [5e-05] +[2024-05-21 21:31:36,738] - INFO: Epoch 5545/9999, Iter 277220: Loss = 0.012139693833887577, lr = [5e-05] +[2024-05-21 21:32:04,615] - INFO: Epoch 5545/9999, Iter 277240: Loss = 0.012382395565509796, lr = [5e-05] +[2024-05-21 21:32:17,075] - INFO: Evaluate at epoch 5545! +[2024-05-21 21:32:21,081] - INFO: Eval PSNR (max): 38.039 (5535) SSIM (max): 0.9611 (5335) +[2024-05-21 21:32:21,081] - INFO: Eval PSNR (current): 38.001 (5545) SSIM (current): 0.9609 (5545) +[2024-05-21 21:32:21,081] - INFO: Evaluation over. +[2024-05-21 21:32:39,515] - INFO: Epoch 5546/9999, Iter 277260: Loss = 0.007776412181556225, lr = [5e-05] +[2024-05-21 21:33:06,264] - INFO: Epoch 5546/9999, Iter 277280: Loss = 0.014215920120477676, lr = [5e-05] +[2024-05-21 21:33:35,902] - INFO: Epoch 5547/9999, Iter 277300: Loss = 0.009047859348356724, lr = [5e-05] +[2024-05-21 21:34:03,817] - INFO: Epoch 5547/9999, Iter 277320: Loss = 0.010163218714296818, lr = [5e-05] +[2024-05-21 21:34:31,992] - INFO: Epoch 5547/9999, Iter 277340: Loss = 0.0113395806401968, lr = [5e-05] +[2024-05-21 21:35:01,303] - INFO: Epoch 5548/9999, Iter 277360: Loss = 0.011012695729732513, lr = [5e-05] +[2024-05-21 21:35:29,060] - INFO: Epoch 5548/9999, Iter 277380: Loss = 0.015554527752101421, lr = [5e-05] +[2024-05-21 21:35:58,195] - INFO: Epoch 5549/9999, Iter 277400: Loss = 0.014040966518223286, lr = [5e-05] +[2024-05-21 21:36:25,435] - INFO: Epoch 5549/9999, Iter 277420: Loss = 0.014925847761332989, lr = [5e-05] +[2024-05-21 21:36:52,047] - INFO: Epoch 5549/9999, Iter 277440: Loss = 0.01510901190340519, lr = [5e-05] +[2024-05-21 21:37:21,567] - INFO: Epoch 5550/9999, Iter 277460: Loss = 0.01058383472263813, lr = [5e-05] +[2024-05-21 21:37:49,226] - INFO: Epoch 5550/9999, Iter 277480: Loss = 0.011528264731168747, lr = [5e-05] +[2024-05-21 21:38:15,311] - INFO: Evaluate at epoch 5550! +[2024-05-21 21:38:19,318] - INFO: Eval PSNR (max): 38.039 (5535) SSIM (max): 0.9611 (5335) +[2024-05-21 21:38:19,318] - INFO: Eval PSNR (current): 38.023 (5550) SSIM (current): 0.9609 (5550) +[2024-05-21 21:38:19,318] - INFO: Evaluation over. +[2024-05-21 21:38:23,863] - INFO: Epoch 5551/9999, Iter 277500: Loss = 0.007336605340242386, lr = [5e-05] +[2024-05-21 21:38:51,516] - INFO: Epoch 5551/9999, Iter 277520: Loss = 0.012681988999247551, lr = [5e-05] +[2024-05-21 21:39:18,222] - INFO: Epoch 5551/9999, Iter 277540: Loss = 0.01473905611783266, lr = [5e-05] +[2024-05-21 21:39:47,524] - INFO: Epoch 5552/9999, Iter 277560: Loss = 0.010764447040855885, lr = [5e-05] +[2024-05-21 21:40:14,552] - INFO: Epoch 5552/9999, Iter 277580: Loss = 0.01061962079256773, lr = [5e-05] +[2024-05-21 21:40:44,263] - INFO: Epoch 5553/9999, Iter 277600: Loss = 0.012659990228712559, lr = [5e-05] +[2024-05-21 21:41:12,273] - INFO: Epoch 5553/9999, Iter 277620: Loss = 0.01571737788617611, lr = [5e-05] +[2024-05-21 21:41:40,369] - INFO: Epoch 5553/9999, Iter 277640: Loss = 0.012273787520825863, lr = [5e-05] +[2024-05-21 21:42:09,388] - INFO: Epoch 5554/9999, Iter 277660: Loss = 0.014104461297392845, lr = [5e-05] +[2024-05-21 21:42:36,671] - INFO: Epoch 5554/9999, Iter 277680: Loss = 0.01440321747213602, lr = [5e-05] +[2024-05-21 21:43:06,063] - INFO: Epoch 5555/9999, Iter 277700: Loss = 0.01404988020658493, lr = [5e-05] +[2024-05-21 21:43:34,467] - INFO: Epoch 5555/9999, Iter 277720: Loss = 0.01354508101940155, lr = [5e-05] +[2024-05-21 21:44:02,647] - INFO: Epoch 5555/9999, Iter 277740: Loss = 0.01311835553497076, lr = [5e-05] +[2024-05-21 21:44:14,709] - INFO: Evaluate at epoch 5555! +[2024-05-21 21:44:18,714] - INFO: Eval PSNR (max): 38.039 (5535) SSIM (max): 0.9611 (5335) +[2024-05-21 21:44:18,714] - INFO: Eval PSNR (current): 38.018 (5555) SSIM (current): 0.9607 (5555) +[2024-05-21 21:44:18,714] - INFO: Evaluation over. +[2024-05-21 21:44:37,625] - INFO: Epoch 5556/9999, Iter 277760: Loss = 0.015959197655320168, lr = [5e-05] +[2024-05-21 21:45:05,117] - INFO: Epoch 5556/9999, Iter 277780: Loss = 0.01115214079618454, lr = [5e-05] +[2024-05-21 21:45:33,931] - INFO: Epoch 5557/9999, Iter 277800: Loss = 0.010396617464721203, lr = [5e-05] +[2024-05-21 21:46:01,235] - INFO: Epoch 5557/9999, Iter 277820: Loss = 0.011931843124330044, lr = [5e-05] +[2024-05-21 21:46:28,584] - INFO: Epoch 5557/9999, Iter 277840: Loss = 0.013877336867153645, lr = [5e-05] +[2024-05-21 21:46:57,926] - INFO: Epoch 5558/9999, Iter 277860: Loss = 0.01428372971713543, lr = [5e-05] +[2024-05-21 21:47:26,527] - INFO: Epoch 5558/9999, Iter 277880: Loss = 0.008493795059621334, lr = [5e-05] +[2024-05-21 21:47:55,315] - INFO: Epoch 5559/9999, Iter 277900: Loss = 0.012823824770748615, lr = [5e-05] +[2024-05-21 21:48:22,923] - INFO: Epoch 5559/9999, Iter 277920: Loss = 0.0159763116389513, lr = [5e-05] +[2024-05-21 21:48:49,723] - INFO: Epoch 5559/9999, Iter 277940: Loss = 0.013745976611971855, lr = [5e-05] +[2024-05-21 21:49:19,202] - INFO: Epoch 5560/9999, Iter 277960: Loss = 0.019625110551714897, lr = [5e-05] +[2024-05-21 21:49:46,561] - INFO: Epoch 5560/9999, Iter 277980: Loss = 0.014436562545597553, lr = [5e-05] +[2024-05-21 21:50:11,943] - INFO: Evaluate at epoch 5560! +[2024-05-21 21:50:15,957] - INFO: Eval PSNR (max): 38.039 (5535) SSIM (max): 0.9611 (5335) +[2024-05-21 21:50:15,957] - INFO: Eval PSNR (current): 38.010 (5560) SSIM (current): 0.9609 (5560) +[2024-05-21 21:50:15,957] - INFO: Evaluation over. +[2024-05-21 21:50:20,473] - INFO: Epoch 5561/9999, Iter 278000: Loss = 0.011634702794253826, lr = [5e-05] +[2024-05-21 21:50:48,961] - INFO: Epoch 5561/9999, Iter 278020: Loss = 0.010236400179564953, lr = [5e-05] +[2024-05-21 21:51:16,577] - INFO: Epoch 5561/9999, Iter 278040: Loss = 0.016290884464979172, lr = [5e-05] +[2024-05-21 21:51:45,596] - INFO: Epoch 5562/9999, Iter 278060: Loss = 0.013392392545938492, lr = [5e-05] +[2024-05-21 21:52:12,784] - INFO: Epoch 5562/9999, Iter 278080: Loss = 0.012657521292567253, lr = [5e-05] +[2024-05-21 21:52:41,303] - INFO: Epoch 5563/9999, Iter 278100: Loss = 0.008731609210371971, lr = [5e-05] +[2024-05-21 21:53:08,082] - INFO: Epoch 5563/9999, Iter 278120: Loss = 0.015315452590584755, lr = [5e-05] +[2024-05-21 21:53:36,089] - INFO: Epoch 5563/9999, Iter 278140: Loss = 0.010597381740808487, lr = [5e-05] +[2024-05-21 21:54:05,095] - INFO: Epoch 5564/9999, Iter 278160: Loss = 0.013979576528072357, lr = [5e-05] +[2024-05-21 21:54:31,870] - INFO: Epoch 5564/9999, Iter 278180: Loss = 0.015311796218156815, lr = [5e-05] +[2024-05-21 21:55:01,974] - INFO: Epoch 5565/9999, Iter 278200: Loss = 0.015172834508121014, lr = [5e-05] +[2024-05-21 21:55:30,477] - INFO: Epoch 5565/9999, Iter 278220: Loss = 0.018795857205986977, lr = [5e-05] +[2024-05-21 21:55:58,111] - INFO: Epoch 5565/9999, Iter 278240: Loss = 0.012902277521789074, lr = [5e-05] +[2024-05-21 21:56:10,234] - INFO: Evaluate at epoch 5565! +[2024-05-21 21:56:14,245] - INFO: Eval PSNR (max): 38.039 (5535) SSIM (max): 0.9611 (5335) +[2024-05-21 21:56:14,245] - INFO: Eval PSNR (current): 38.032 (5565) SSIM (current): 0.9610 (5565) +[2024-05-21 21:56:14,245] - INFO: Evaluation over. +[2024-05-21 21:56:33,202] - INFO: Epoch 5566/9999, Iter 278260: Loss = 0.016942527145147324, lr = [5e-05] +[2024-05-21 21:57:01,894] - INFO: Epoch 5566/9999, Iter 278280: Loss = 0.01462976448237896, lr = [5e-05] +[2024-05-21 21:57:30,747] - INFO: Epoch 5567/9999, Iter 278300: Loss = 0.0173391904681921, lr = [5e-05] +[2024-05-21 21:57:59,209] - INFO: Epoch 5567/9999, Iter 278320: Loss = 0.011927137151360512, lr = [5e-05] +[2024-05-21 21:58:26,883] - INFO: Epoch 5567/9999, Iter 278340: Loss = 0.011115853674709797, lr = [5e-05] +[2024-05-21 21:58:56,382] - INFO: Epoch 5568/9999, Iter 278360: Loss = 0.010543636977672577, lr = [5e-05] +[2024-05-21 21:59:24,603] - INFO: Epoch 5568/9999, Iter 278380: Loss = 0.008516479283571243, lr = [5e-05] +[2024-05-21 21:59:53,298] - INFO: Epoch 5569/9999, Iter 278400: Loss = 0.011533448472619057, lr = [5e-05] +[2024-05-21 22:00:21,843] - INFO: Epoch 5569/9999, Iter 278420: Loss = 0.01129614096134901, lr = [5e-05] +[2024-05-21 22:00:50,015] - INFO: Epoch 5569/9999, Iter 278440: Loss = 0.014839591458439827, lr = [5e-05] +[2024-05-21 22:01:18,771] - INFO: Epoch 5570/9999, Iter 278460: Loss = 0.016392698511481285, lr = [5e-05] +[2024-05-21 22:01:46,438] - INFO: Epoch 5570/9999, Iter 278480: Loss = 0.013663770630955696, lr = [5e-05] +[2024-05-21 22:02:12,791] - INFO: Evaluate at epoch 5570! +[2024-05-21 22:02:16,804] - INFO: Eval PSNR (max): 38.039 (5535) SSIM (max): 0.9611 (5335) +[2024-05-21 22:02:16,804] - INFO: Eval PSNR (current): 37.993 (5570) SSIM (current): 0.9608 (5570) +[2024-05-21 22:02:16,804] - INFO: Evaluation over. +[2024-05-21 22:02:21,351] - INFO: Epoch 5571/9999, Iter 278500: Loss = 0.014951713383197784, lr = [5e-05] +[2024-05-21 22:02:50,023] - INFO: Epoch 5571/9999, Iter 278520: Loss = 0.014508605934679508, lr = [5e-05] +[2024-05-21 22:03:17,091] - INFO: Epoch 5571/9999, Iter 278540: Loss = 0.014166425913572311, lr = [5e-05] +[2024-05-21 22:03:46,401] - INFO: Epoch 5572/9999, Iter 278560: Loss = 0.01816258579492569, lr = [5e-05] +[2024-05-21 22:04:14,647] - INFO: Epoch 5572/9999, Iter 278580: Loss = 0.00828208215534687, lr = [5e-05] +[2024-05-21 22:04:43,543] - INFO: Epoch 5573/9999, Iter 278600: Loss = 0.010814291425049305, lr = [5e-05] +[2024-05-21 22:05:12,175] - INFO: Epoch 5573/9999, Iter 278620: Loss = 0.01027104165405035, lr = [5e-05] +[2024-05-21 22:05:40,055] - INFO: Epoch 5573/9999, Iter 278640: Loss = 0.011485441587865353, lr = [5e-05] +[2024-05-21 22:06:09,743] - INFO: Epoch 5574/9999, Iter 278660: Loss = 0.014251982793211937, lr = [5e-05] +[2024-05-21 22:06:37,430] - INFO: Epoch 5574/9999, Iter 278680: Loss = 0.014312135055661201, lr = [5e-05] +[2024-05-21 22:07:06,651] - INFO: Epoch 5575/9999, Iter 278700: Loss = 0.011575360782444477, lr = [5e-05] +[2024-05-21 22:07:34,884] - INFO: Epoch 5575/9999, Iter 278720: Loss = 0.01683077961206436, lr = [5e-05] +[2024-05-21 22:08:03,363] - INFO: Epoch 5575/9999, Iter 278740: Loss = 0.011861104518175125, lr = [5e-05] +[2024-05-21 22:08:15,318] - INFO: Evaluate at epoch 5575! +[2024-05-21 22:08:19,322] - INFO: Eval PSNR (max): 38.039 (5535) SSIM (max): 0.9611 (5335) +[2024-05-21 22:08:19,322] - INFO: Eval PSNR (current): 38.029 (5575) SSIM (current): 0.9609 (5575) +[2024-05-21 22:08:19,322] - INFO: Evaluation over. +[2024-05-21 22:08:38,674] - INFO: Epoch 5576/9999, Iter 278760: Loss = 0.011501777917146683, lr = [5e-05] +[2024-05-21 22:09:06,919] - INFO: Epoch 5576/9999, Iter 278780: Loss = 0.018780946731567383, lr = [5e-05] +[2024-05-21 22:09:34,851] - INFO: Epoch 5577/9999, Iter 278800: Loss = 0.009614096954464912, lr = [5e-05] +[2024-05-21 22:10:02,938] - INFO: Epoch 5577/9999, Iter 278820: Loss = 0.01267885323613882, lr = [5e-05] +[2024-05-21 22:10:31,007] - INFO: Epoch 5577/9999, Iter 278840: Loss = 0.012603921815752983, lr = [5e-05] +[2024-05-21 22:11:00,011] - INFO: Epoch 5578/9999, Iter 278860: Loss = 0.010960906744003296, lr = [5e-05] +[2024-05-21 22:11:27,039] - INFO: Epoch 5578/9999, Iter 278880: Loss = 0.012516469694674015, lr = [5e-05] +[2024-05-21 22:11:55,559] - INFO: Epoch 5579/9999, Iter 278900: Loss = 0.013267076574265957, lr = [5e-05] +[2024-05-21 22:12:23,439] - INFO: Epoch 5579/9999, Iter 278920: Loss = 0.012676543556153774, lr = [5e-05] +[2024-05-21 22:12:51,249] - INFO: Epoch 5579/9999, Iter 278940: Loss = 0.014385759830474854, lr = [5e-05] +[2024-05-21 22:13:20,067] - INFO: Epoch 5580/9999, Iter 278960: Loss = 0.015741312876343727, lr = [5e-05] +[2024-05-21 22:13:46,618] - INFO: Epoch 5580/9999, Iter 278980: Loss = 0.010119406506419182, lr = [5e-05] +[2024-05-21 22:14:13,958] - INFO: Evaluate at epoch 5580! +[2024-05-21 22:14:17,963] - INFO: Eval PSNR (max): 38.039 (5535) SSIM (max): 0.9611 (5335) +[2024-05-21 22:14:17,963] - INFO: Eval PSNR (current): 38.014 (5580) SSIM (current): 0.9609 (5580) +[2024-05-21 22:14:17,963] - INFO: Evaluation over. +[2024-05-21 22:14:22,301] - INFO: Epoch 5581/9999, Iter 279000: Loss = 0.015190038830041885, lr = [5e-05] +[2024-05-21 22:14:50,483] - INFO: Epoch 5581/9999, Iter 279020: Loss = 0.013159267604351044, lr = [5e-05] +[2024-05-21 22:15:17,575] - INFO: Epoch 5581/9999, Iter 279040: Loss = 0.013471052050590515, lr = [5e-05] +[2024-05-21 22:15:46,583] - INFO: Epoch 5582/9999, Iter 279060: Loss = 0.018967200070619583, lr = [5e-05] +[2024-05-21 22:16:14,020] - INFO: Epoch 5582/9999, Iter 279080: Loss = 0.01587977260351181, lr = [5e-05] +[2024-05-21 22:16:43,356] - INFO: Epoch 5583/9999, Iter 279100: Loss = 0.010789940133690834, lr = [5e-05] +[2024-05-21 22:17:11,240] - INFO: Epoch 5583/9999, Iter 279120: Loss = 0.017803478986024857, lr = [5e-05] +[2024-05-21 22:17:39,278] - INFO: Epoch 5583/9999, Iter 279140: Loss = 0.014026219956576824, lr = [5e-05] +[2024-05-21 22:18:08,315] - INFO: Epoch 5584/9999, Iter 279160: Loss = 0.015032391063869, lr = [5e-05] +[2024-05-21 22:18:36,137] - INFO: Epoch 5584/9999, Iter 279180: Loss = 0.014245330356061459, lr = [5e-05] +[2024-05-21 22:19:05,655] - INFO: Epoch 5585/9999, Iter 279200: Loss = 0.008968301117420197, lr = [5e-05] +[2024-05-21 22:19:34,151] - INFO: Epoch 5585/9999, Iter 279220: Loss = 0.011425375007092953, lr = [5e-05] +[2024-05-21 22:20:01,367] - INFO: Epoch 5585/9999, Iter 279240: Loss = 0.008318014442920685, lr = [5e-05] +[2024-05-21 22:20:13,444] - INFO: Evaluate at epoch 5585! +[2024-05-21 22:20:17,454] - INFO: Eval PSNR (max): 38.039 (5535) SSIM (max): 0.9611 (5335) +[2024-05-21 22:20:17,454] - INFO: Eval PSNR (current): 38.023 (5585) SSIM (current): 0.9610 (5585) +[2024-05-21 22:20:17,454] - INFO: Evaluation over. +[2024-05-21 22:20:35,887] - INFO: Epoch 5586/9999, Iter 279260: Loss = 0.012235593050718307, lr = [5e-05] +[2024-05-21 22:21:03,151] - INFO: Epoch 5586/9999, Iter 279280: Loss = 0.011471324600279331, lr = [5e-05] +[2024-05-21 22:21:32,879] - INFO: Epoch 5587/9999, Iter 279300: Loss = 0.011819615960121155, lr = [5e-05] +[2024-05-21 22:22:00,771] - INFO: Epoch 5587/9999, Iter 279320: Loss = 0.014136246405541897, lr = [5e-05] +[2024-05-21 22:22:27,475] - INFO: Epoch 5587/9999, Iter 279340: Loss = 0.012743676081299782, lr = [5e-05] +[2024-05-21 22:22:56,867] - INFO: Epoch 5588/9999, Iter 279360: Loss = 0.010579599067568779, lr = [5e-05] +[2024-05-21 22:23:25,251] - INFO: Epoch 5588/9999, Iter 279380: Loss = 0.012158350087702274, lr = [5e-05] +[2024-05-21 22:23:54,090] - INFO: Epoch 5589/9999, Iter 279400: Loss = 0.00812069047242403, lr = [5e-05] +[2024-05-21 22:24:22,370] - INFO: Epoch 5589/9999, Iter 279420: Loss = 0.009077920578420162, lr = [5e-05] +[2024-05-21 22:24:49,695] - INFO: Epoch 5589/9999, Iter 279440: Loss = 0.01876356638967991, lr = [5e-05] +[2024-05-21 22:25:18,687] - INFO: Epoch 5590/9999, Iter 279460: Loss = 0.013560830615460873, lr = [5e-05] +[2024-05-21 22:25:45,988] - INFO: Epoch 5590/9999, Iter 279480: Loss = 0.01086172554641962, lr = [5e-05] +[2024-05-21 22:26:12,142] - INFO: Evaluate at epoch 5590! +[2024-05-21 22:26:16,151] - INFO: Eval PSNR (max): 38.039 (5535) SSIM (max): 0.9611 (5335) +[2024-05-21 22:26:16,151] - INFO: Eval PSNR (current): 37.997 (5590) SSIM (current): 0.9610 (5590) +[2024-05-21 22:26:16,151] - INFO: Evaluation over. +[2024-05-21 22:26:20,521] - INFO: Epoch 5591/9999, Iter 279500: Loss = 0.011337298899888992, lr = [5e-05] +[2024-05-21 22:26:48,491] - INFO: Epoch 5591/9999, Iter 279520: Loss = 0.010073931887745857, lr = [5e-05] +[2024-05-21 22:27:16,334] - INFO: Epoch 5591/9999, Iter 279540: Loss = 0.011838424019515514, lr = [5e-05] +[2024-05-21 22:27:45,638] - INFO: Epoch 5592/9999, Iter 279560: Loss = 0.01415691152215004, lr = [5e-05] +[2024-05-21 22:28:14,377] - INFO: Epoch 5592/9999, Iter 279580: Loss = 0.014696613885462284, lr = [5e-05] +[2024-05-21 22:28:43,238] - INFO: Epoch 5593/9999, Iter 279600: Loss = 0.01675131358206272, lr = [5e-05] +[2024-05-21 22:29:11,487] - INFO: Epoch 5593/9999, Iter 279620: Loss = 0.01292557641863823, lr = [5e-05] +[2024-05-21 22:29:39,391] - INFO: Epoch 5593/9999, Iter 279640: Loss = 0.013021786697208881, lr = [5e-05] +[2024-05-21 22:30:08,303] - INFO: Epoch 5594/9999, Iter 279660: Loss = 0.00759375374764204, lr = [5e-05] +[2024-05-21 22:30:36,111] - INFO: Epoch 5594/9999, Iter 279680: Loss = 0.013815254904329777, lr = [5e-05] +[2024-05-21 22:31:04,855] - INFO: Epoch 5595/9999, Iter 279700: Loss = 0.01262658555060625, lr = [5e-05] +[2024-05-21 22:31:32,643] - INFO: Epoch 5595/9999, Iter 279720: Loss = 0.012774371542036533, lr = [5e-05] +[2024-05-21 22:31:59,095] - INFO: Epoch 5595/9999, Iter 279740: Loss = 0.017743930220603943, lr = [5e-05] +[2024-05-21 22:32:11,573] - INFO: Evaluate at epoch 5595! +[2024-05-21 22:32:15,579] - INFO: Eval PSNR (max): 38.039 (5535) SSIM (max): 0.9611 (5335) +[2024-05-21 22:32:15,579] - INFO: Eval PSNR (current): 38.025 (5595) SSIM (current): 0.9609 (5595) +[2024-05-21 22:32:15,579] - INFO: Evaluation over. +[2024-05-21 22:32:33,597] - INFO: Epoch 5596/9999, Iter 279760: Loss = 0.009723005816340446, lr = [5e-05] +[2024-05-21 22:33:01,183] - INFO: Epoch 5596/9999, Iter 279780: Loss = 0.015219972468912601, lr = [5e-05] +[2024-05-21 22:33:30,367] - INFO: Epoch 5597/9999, Iter 279800: Loss = 0.013131999410688877, lr = [5e-05] +[2024-05-21 22:33:57,485] - INFO: Epoch 5597/9999, Iter 279820: Loss = 0.014179039746522903, lr = [5e-05] +[2024-05-21 22:34:24,419] - INFO: Epoch 5597/9999, Iter 279840: Loss = 0.015737004578113556, lr = [5e-05] +[2024-05-21 22:34:53,679] - INFO: Epoch 5598/9999, Iter 279860: Loss = 0.013972447253763676, lr = [5e-05] +[2024-05-21 22:35:20,884] - INFO: Epoch 5598/9999, Iter 279880: Loss = 0.016285834833979607, lr = [5e-05] +[2024-05-21 22:35:49,551] - INFO: Epoch 5599/9999, Iter 279900: Loss = 0.01583852805197239, lr = [5e-05] +[2024-05-21 22:36:17,681] - INFO: Epoch 5599/9999, Iter 279920: Loss = 0.010469885542988777, lr = [5e-05] +[2024-05-21 22:36:45,971] - INFO: Epoch 5599/9999, Iter 279940: Loss = 0.014953352510929108, lr = [5e-05] +[2024-05-21 22:37:14,801] - INFO: Epoch 5600/9999, Iter 279960: Loss = 0.013949614949524403, lr = [5e-05] +[2024-05-21 22:37:42,644] - INFO: Epoch 5600/9999, Iter 279980: Loss = 0.01100629661232233, lr = [5e-05] +[2024-05-21 22:38:08,719] - INFO: Evaluate at epoch 5600! +[2024-05-21 22:38:12,801] - INFO: Eval PSNR (max): 38.039 (5535) SSIM (max): 0.9611 (5335) +[2024-05-21 22:38:12,801] - INFO: Eval PSNR (current): 37.949 (5600) SSIM (current): 0.9607 (5600) +[2024-05-21 22:38:12,801] - INFO: Evaluation over. +[2024-05-21 22:38:17,247] - INFO: Epoch 5601/9999, Iter 280000: Loss = 0.01072719506919384, lr = [5e-05] +[2024-05-21 22:38:45,704] - INFO: Epoch 5601/9999, Iter 280020: Loss = 0.011289318092167377, lr = [5e-05] +[2024-05-21 22:39:13,421] - INFO: Epoch 5601/9999, Iter 280040: Loss = 0.017751045525074005, lr = [5e-05] +[2024-05-21 22:39:41,769] - INFO: Epoch 5602/9999, Iter 280060: Loss = 0.009743829257786274, lr = [5e-05] +[2024-05-21 22:40:09,930] - INFO: Epoch 5602/9999, Iter 280080: Loss = 0.016503876075148582, lr = [5e-05] +[2024-05-21 22:40:39,419] - INFO: Epoch 5603/9999, Iter 280100: Loss = 0.012276234105229378, lr = [5e-05] +[2024-05-21 22:41:07,083] - INFO: Epoch 5603/9999, Iter 280120: Loss = 0.011322642676532269, lr = [5e-05] +[2024-05-21 22:41:34,339] - INFO: Epoch 5603/9999, Iter 280140: Loss = 0.012141484767198563, lr = [5e-05] +[2024-05-21 22:42:04,307] - INFO: Epoch 5604/9999, Iter 280160: Loss = 0.013401703909039497, lr = [5e-05] +[2024-05-21 22:42:32,277] - INFO: Epoch 5604/9999, Iter 280180: Loss = 0.01360808964818716, lr = [5e-05] +[2024-05-21 22:43:01,219] - INFO: Epoch 5605/9999, Iter 280200: Loss = 0.009570254944264889, lr = [5e-05] +[2024-05-21 22:43:30,099] - INFO: Epoch 5605/9999, Iter 280220: Loss = 0.014019427821040154, lr = [5e-05] +[2024-05-21 22:43:57,705] - INFO: Epoch 5605/9999, Iter 280240: Loss = 0.00994603056460619, lr = [5e-05] +[2024-05-21 22:44:09,475] - INFO: Evaluate at epoch 5605! +[2024-05-21 22:44:13,485] - INFO: Eval PSNR (max): 38.039 (5535) SSIM (max): 0.9611 (5335) +[2024-05-21 22:44:13,485] - INFO: Eval PSNR (current): 37.966 (5605) SSIM (current): 0.9607 (5605) +[2024-05-21 22:44:13,485] - INFO: Evaluation over. +[2024-05-21 22:44:31,479] - INFO: Epoch 5606/9999, Iter 280260: Loss = 0.013973132707178593, lr = [5e-05] +[2024-05-21 22:44:58,431] - INFO: Epoch 5606/9999, Iter 280280: Loss = 0.009190596640110016, lr = [5e-05] +[2024-05-21 22:45:27,882] - INFO: Epoch 5607/9999, Iter 280300: Loss = 0.012689978815615177, lr = [5e-05] +[2024-05-21 22:45:54,032] - INFO: Epoch 5607/9999, Iter 280320: Loss = 0.01598258875310421, lr = [5e-05] +[2024-05-21 22:46:22,711] - INFO: Epoch 5607/9999, Iter 280340: Loss = 0.012312725186347961, lr = [5e-05] +[2024-05-21 22:46:51,444] - INFO: Epoch 5608/9999, Iter 280360: Loss = 0.013079722411930561, lr = [5e-05] +[2024-05-21 22:47:18,785] - INFO: Epoch 5608/9999, Iter 280380: Loss = 0.011390583589673042, lr = [5e-05] +[2024-05-21 22:47:48,353] - INFO: Epoch 5609/9999, Iter 280400: Loss = 0.009281688369810581, lr = [5e-05] +[2024-05-21 22:48:15,399] - INFO: Epoch 5609/9999, Iter 280420: Loss = 0.008027120493352413, lr = [5e-05] +[2024-05-21 22:48:42,537] - INFO: Epoch 5609/9999, Iter 280440: Loss = 0.01402275450527668, lr = [5e-05] +[2024-05-21 22:49:11,503] - INFO: Epoch 5610/9999, Iter 280460: Loss = 0.00947048980742693, lr = [5e-05] +[2024-05-21 22:49:38,591] - INFO: Epoch 5610/9999, Iter 280480: Loss = 0.012925790622830391, lr = [5e-05] +[2024-05-21 22:50:04,114] - INFO: Evaluate at epoch 5610! +[2024-05-21 22:50:08,118] - INFO: Eval PSNR (max): 38.039 (5535) SSIM (max): 0.9611 (5335) +[2024-05-21 22:50:08,118] - INFO: Eval PSNR (current): 37.985 (5610) SSIM (current): 0.9609 (5610) +[2024-05-21 22:50:08,118] - INFO: Evaluation over. +[2024-05-21 22:50:12,878] - INFO: Epoch 5611/9999, Iter 280500: Loss = 0.013676924630999565, lr = [5e-05] +[2024-05-21 22:50:40,915] - INFO: Epoch 5611/9999, Iter 280520: Loss = 0.015982238575816154, lr = [5e-05] +[2024-05-21 22:51:09,172] - INFO: Epoch 5611/9999, Iter 280540: Loss = 0.01759612374007702, lr = [5e-05] +[2024-05-21 22:51:37,691] - INFO: Epoch 5612/9999, Iter 280560: Loss = 0.014215606264770031, lr = [5e-05] +[2024-05-21 22:52:06,519] - INFO: Epoch 5612/9999, Iter 280580: Loss = 0.006332406774163246, lr = [5e-05] +[2024-05-21 22:52:34,795] - INFO: Epoch 5613/9999, Iter 280600: Loss = 0.010074768215417862, lr = [5e-05] +[2024-05-21 22:53:02,649] - INFO: Epoch 5613/9999, Iter 280620: Loss = 0.009900565259158611, lr = [5e-05] +[2024-05-21 22:53:31,090] - INFO: Epoch 5613/9999, Iter 280640: Loss = 0.01361843291670084, lr = [5e-05] +[2024-05-21 22:53:59,547] - INFO: Epoch 5614/9999, Iter 280660: Loss = 0.013326329179108143, lr = [5e-05] +[2024-05-21 22:54:26,371] - INFO: Epoch 5614/9999, Iter 280680: Loss = 0.01373746432363987, lr = [5e-05] +[2024-05-21 22:54:55,946] - INFO: Epoch 5615/9999, Iter 280700: Loss = 0.017216630280017853, lr = [5e-05] +[2024-05-21 22:55:22,957] - INFO: Epoch 5615/9999, Iter 280720: Loss = 0.008240272291004658, lr = [5e-05] +[2024-05-21 22:55:50,933] - INFO: Epoch 5615/9999, Iter 280740: Loss = 0.010870243422687054, lr = [5e-05] +[2024-05-21 22:56:03,856] - INFO: Evaluate at epoch 5615! +[2024-05-21 22:56:07,872] - INFO: Eval PSNR (max): 38.039 (5535) SSIM (max): 0.9611 (5335) +[2024-05-21 22:56:07,872] - INFO: Eval PSNR (current): 38.005 (5615) SSIM (current): 0.9608 (5615) +[2024-05-21 22:56:07,873] - INFO: Evaluation over. +[2024-05-21 22:56:25,642] - INFO: Epoch 5616/9999, Iter 280760: Loss = 0.012435408309102058, lr = [5e-05] +[2024-05-21 22:56:53,451] - INFO: Epoch 5616/9999, Iter 280780: Loss = 0.014909982681274414, lr = [5e-05] +[2024-05-21 22:57:21,635] - INFO: Epoch 5617/9999, Iter 280800: Loss = 0.016750212758779526, lr = [5e-05] +[2024-05-21 22:57:50,619] - INFO: Epoch 5617/9999, Iter 280820: Loss = 0.012417702935636044, lr = [5e-05] +[2024-05-21 22:58:18,000] - INFO: Epoch 5617/9999, Iter 280840: Loss = 0.012419250793755054, lr = [5e-05] +[2024-05-21 22:58:46,950] - INFO: Epoch 5618/9999, Iter 280860: Loss = 0.018715819343924522, lr = [5e-05] +[2024-05-21 22:59:14,867] - INFO: Epoch 5618/9999, Iter 280880: Loss = 0.012457162141799927, lr = [5e-05] +[2024-05-21 22:59:44,011] - INFO: Epoch 5619/9999, Iter 280900: Loss = 0.009627587161958218, lr = [5e-05] +[2024-05-21 23:00:12,828] - INFO: Epoch 5619/9999, Iter 280920: Loss = 0.016149893403053284, lr = [5e-05] +[2024-05-21 23:00:39,956] - INFO: Epoch 5619/9999, Iter 280940: Loss = 0.008140556514263153, lr = [5e-05] +[2024-05-21 23:01:08,455] - INFO: Epoch 5620/9999, Iter 280960: Loss = 0.009737498126924038, lr = [5e-05] +[2024-05-21 23:01:36,020] - INFO: Epoch 5620/9999, Iter 280980: Loss = 0.011784810572862625, lr = [5e-05] +[2024-05-21 23:02:01,783] - INFO: Evaluate at epoch 5620! +[2024-05-21 23:02:07,908] - INFO: Eval PSNR (max): 38.041 (5620) SSIM (max): 0.9611 (5335) +[2024-05-21 23:02:07,909] - INFO: Eval PSNR (current): 38.041 (5620) SSIM (current): 0.9609 (5620) +[2024-05-21 23:02:07,909] - INFO: Evaluation over. +[2024-05-21 23:02:12,686] - INFO: Epoch 5621/9999, Iter 281000: Loss = 0.011009533889591694, lr = [5e-05] +[2024-05-21 23:02:39,438] - INFO: Epoch 5621/9999, Iter 281020: Loss = 0.012628418393433094, lr = [5e-05] +[2024-05-21 23:03:06,616] - INFO: Epoch 5621/9999, Iter 281040: Loss = 0.01581806130707264, lr = [5e-05] +[2024-05-21 23:03:36,339] - INFO: Epoch 5622/9999, Iter 281060: Loss = 0.011133445426821709, lr = [5e-05] +[2024-05-21 23:04:04,899] - INFO: Epoch 5622/9999, Iter 281080: Loss = 0.020729338750243187, lr = [5e-05] +[2024-05-21 23:04:33,783] - INFO: Epoch 5623/9999, Iter 281100: Loss = 0.007709855679422617, lr = [5e-05] +[2024-05-21 23:05:02,446] - INFO: Epoch 5623/9999, Iter 281120: Loss = 0.006301608867943287, lr = [5e-05] +[2024-05-21 23:05:30,101] - INFO: Epoch 5623/9999, Iter 281140: Loss = 0.011896146461367607, lr = [5e-05] +[2024-05-21 23:05:58,506] - INFO: Epoch 5624/9999, Iter 281160: Loss = 0.012315552681684494, lr = [5e-05] +[2024-05-21 23:06:26,596] - INFO: Epoch 5624/9999, Iter 281180: Loss = 0.011951208114624023, lr = [5e-05] +[2024-05-21 23:06:55,831] - INFO: Epoch 5625/9999, Iter 281200: Loss = 0.005836124997586012, lr = [5e-05] +[2024-05-21 23:07:23,490] - INFO: Epoch 5625/9999, Iter 281220: Loss = 0.008852041326463223, lr = [5e-05] +[2024-05-21 23:07:51,707] - INFO: Epoch 5625/9999, Iter 281240: Loss = 0.010332178324460983, lr = [5e-05] +[2024-05-21 23:08:04,033] - INFO: Evaluate at epoch 5625! +[2024-05-21 23:08:08,037] - INFO: Eval PSNR (max): 38.041 (5620) SSIM (max): 0.9611 (5335) +[2024-05-21 23:08:08,038] - INFO: Eval PSNR (current): 38.003 (5625) SSIM (current): 0.9608 (5625) +[2024-05-21 23:08:08,038] - INFO: Evaluation over. +[2024-05-21 23:08:25,475] - INFO: Epoch 5626/9999, Iter 281260: Loss = 0.010957307182252407, lr = [5e-05] +[2024-05-21 23:08:52,736] - INFO: Epoch 5626/9999, Iter 281280: Loss = 0.007281793747097254, lr = [5e-05] +[2024-05-21 23:09:22,095] - INFO: Epoch 5627/9999, Iter 281300: Loss = 0.013275457546114922, lr = [5e-05] +[2024-05-21 23:09:50,634] - INFO: Epoch 5627/9999, Iter 281320: Loss = 0.011868571862578392, lr = [5e-05] +[2024-05-21 23:10:18,865] - INFO: Epoch 5627/9999, Iter 281340: Loss = 0.010759823024272919, lr = [5e-05] +[2024-05-21 23:10:47,928] - INFO: Epoch 5628/9999, Iter 281360: Loss = 0.009233354590833187, lr = [5e-05] +[2024-05-21 23:11:15,971] - INFO: Epoch 5628/9999, Iter 281380: Loss = 0.012663406319916248, lr = [5e-05] +[2024-05-21 23:11:45,883] - INFO: Epoch 5629/9999, Iter 281400: Loss = 0.010447144508361816, lr = [5e-05] +[2024-05-21 23:12:14,420] - INFO: Epoch 5629/9999, Iter 281420: Loss = 0.02520197629928589, lr = [5e-05] +[2024-05-21 23:12:42,255] - INFO: Epoch 5629/9999, Iter 281440: Loss = 0.013076338917016983, lr = [5e-05] +[2024-05-21 23:13:11,252] - INFO: Epoch 5630/9999, Iter 281460: Loss = 0.012839035131037235, lr = [5e-05] +[2024-05-21 23:13:39,327] - INFO: Epoch 5630/9999, Iter 281480: Loss = 0.01575891673564911, lr = [5e-05] +[2024-05-21 23:14:04,729] - INFO: Evaluate at epoch 5630! +[2024-05-21 23:14:08,739] - INFO: Eval PSNR (max): 38.041 (5620) SSIM (max): 0.9611 (5335) +[2024-05-21 23:14:08,740] - INFO: Eval PSNR (current): 37.992 (5630) SSIM (current): 0.9608 (5630) +[2024-05-21 23:14:08,740] - INFO: Evaluation over. +[2024-05-21 23:14:13,218] - INFO: Epoch 5631/9999, Iter 281500: Loss = 0.011673936620354652, lr = [5e-05] +[2024-05-21 23:14:40,147] - INFO: Epoch 5631/9999, Iter 281520: Loss = 0.015612191520631313, lr = [5e-05] +[2024-05-21 23:15:07,740] - INFO: Epoch 5631/9999, Iter 281540: Loss = 0.013653479516506195, lr = [5e-05] +[2024-05-21 23:15:37,216] - INFO: Epoch 5632/9999, Iter 281560: Loss = 0.01672041229903698, lr = [5e-05] +[2024-05-21 23:16:04,684] - INFO: Epoch 5632/9999, Iter 281580: Loss = 0.011176396161317825, lr = [5e-05] +[2024-05-21 23:16:34,115] - INFO: Epoch 5633/9999, Iter 281600: Loss = 0.013710997067391872, lr = [5e-05] +[2024-05-21 23:17:01,055] - INFO: Epoch 5633/9999, Iter 281620: Loss = 0.012928606010973454, lr = [5e-05] +[2024-05-21 23:17:27,827] - INFO: Epoch 5633/9999, Iter 281640: Loss = 0.016341879963874817, lr = [5e-05] +[2024-05-21 23:17:56,851] - INFO: Epoch 5634/9999, Iter 281660: Loss = 0.018569668754935265, lr = [5e-05] +[2024-05-21 23:18:23,591] - INFO: Epoch 5634/9999, Iter 281680: Loss = 0.017708908766508102, lr = [5e-05] +[2024-05-21 23:18:53,075] - INFO: Epoch 5635/9999, Iter 281700: Loss = 0.014415648765861988, lr = [5e-05] +[2024-05-21 23:19:20,943] - INFO: Epoch 5635/9999, Iter 281720: Loss = 0.013111059553921223, lr = [5e-05] +[2024-05-21 23:19:48,760] - INFO: Epoch 5635/9999, Iter 281740: Loss = 0.013401651754975319, lr = [5e-05] +[2024-05-21 23:20:01,205] - INFO: Evaluate at epoch 5635! +[2024-05-21 23:20:05,232] - INFO: Eval PSNR (max): 38.041 (5620) SSIM (max): 0.9611 (5335) +[2024-05-21 23:20:05,232] - INFO: Eval PSNR (current): 38.008 (5635) SSIM (current): 0.9609 (5635) +[2024-05-21 23:20:05,233] - INFO: Evaluation over. +[2024-05-21 23:20:23,058] - INFO: Epoch 5636/9999, Iter 281760: Loss = 0.020993242040276527, lr = [5e-05] +[2024-05-21 23:20:51,403] - INFO: Epoch 5636/9999, Iter 281780: Loss = 0.008839938789606094, lr = [5e-05] +[2024-05-21 23:21:20,259] - INFO: Epoch 5637/9999, Iter 281800: Loss = 0.01948275975883007, lr = [5e-05] +[2024-05-21 23:21:48,993] - INFO: Epoch 5637/9999, Iter 281820: Loss = 0.013814199715852737, lr = [5e-05] +[2024-05-21 23:22:16,273] - INFO: Epoch 5637/9999, Iter 281840: Loss = 0.013064544647932053, lr = [5e-05] +[2024-05-21 23:22:45,098] - INFO: Epoch 5638/9999, Iter 281860: Loss = 0.014802556484937668, lr = [5e-05] +[2024-05-21 23:23:13,703] - INFO: Epoch 5638/9999, Iter 281880: Loss = 0.015011610463261604, lr = [5e-05] +[2024-05-21 23:23:42,599] - INFO: Epoch 5639/9999, Iter 281900: Loss = 0.00739740114659071, lr = [5e-05] +[2024-05-21 23:24:10,755] - INFO: Epoch 5639/9999, Iter 281920: Loss = 0.017096297815442085, lr = [5e-05] +[2024-05-21 23:24:38,684] - INFO: Epoch 5639/9999, Iter 281940: Loss = 0.01468536164611578, lr = [5e-05] +[2024-05-21 23:25:06,937] - INFO: Epoch 5640/9999, Iter 281960: Loss = 0.02096610888838768, lr = [5e-05] +[2024-05-21 23:25:34,219] - INFO: Epoch 5640/9999, Iter 281980: Loss = 0.00836135633289814, lr = [5e-05] +[2024-05-21 23:26:00,762] - INFO: Evaluate at epoch 5640! +[2024-05-21 23:26:04,771] - INFO: Eval PSNR (max): 38.041 (5620) SSIM (max): 0.9611 (5335) +[2024-05-21 23:26:04,772] - INFO: Eval PSNR (current): 37.992 (5640) SSIM (current): 0.9609 (5640) +[2024-05-21 23:26:04,772] - INFO: Evaluation over. +[2024-05-21 23:26:08,880] - INFO: Epoch 5641/9999, Iter 282000: Loss = 0.011621350422501564, lr = [5e-05] +[2024-05-21 23:26:37,530] - INFO: Epoch 5641/9999, Iter 282020: Loss = 0.012774546630680561, lr = [5e-05] +[2024-05-21 23:27:05,059] - INFO: Epoch 5641/9999, Iter 282040: Loss = 0.015689626336097717, lr = [5e-05] +[2024-05-21 23:27:34,379] - INFO: Epoch 5642/9999, Iter 282060: Loss = 0.012408054433763027, lr = [5e-05] +[2024-05-21 23:28:02,965] - INFO: Epoch 5642/9999, Iter 282080: Loss = 0.0146037507802248, lr = [5e-05] +[2024-05-21 23:28:31,583] - INFO: Epoch 5643/9999, Iter 282100: Loss = 0.010995572432875633, lr = [5e-05] +[2024-05-21 23:28:58,823] - INFO: Epoch 5643/9999, Iter 282120: Loss = 0.018168652430176735, lr = [5e-05] +[2024-05-21 23:29:27,388] - INFO: Epoch 5643/9999, Iter 282140: Loss = 0.01000300608575344, lr = [5e-05] +[2024-05-21 23:29:56,163] - INFO: Epoch 5644/9999, Iter 282160: Loss = 0.015416663140058517, lr = [5e-05] +[2024-05-21 23:30:23,988] - INFO: Epoch 5644/9999, Iter 282180: Loss = 0.015099863521754742, lr = [5e-05] +[2024-05-21 23:30:52,911] - INFO: Epoch 5645/9999, Iter 282200: Loss = 0.01461820024996996, lr = [5e-05] +[2024-05-21 23:31:21,690] - INFO: Epoch 5645/9999, Iter 282220: Loss = 0.013106483034789562, lr = [5e-05] +[2024-05-21 23:31:48,931] - INFO: Epoch 5645/9999, Iter 282240: Loss = 0.014328797347843647, lr = [5e-05] +[2024-05-21 23:32:00,991] - INFO: Evaluate at epoch 5645! +[2024-05-21 23:32:04,996] - INFO: Eval PSNR (max): 38.041 (5620) SSIM (max): 0.9611 (5335) +[2024-05-21 23:32:04,996] - INFO: Eval PSNR (current): 37.966 (5645) SSIM (current): 0.9608 (5645) +[2024-05-21 23:32:04,997] - INFO: Evaluation over. +[2024-05-21 23:32:23,655] - INFO: Epoch 5646/9999, Iter 282260: Loss = 0.015383027493953705, lr = [5e-05] +[2024-05-21 23:32:51,475] - INFO: Epoch 5646/9999, Iter 282280: Loss = 0.004544395953416824, lr = [5e-05] +[2024-05-21 23:33:20,410] - INFO: Epoch 5647/9999, Iter 282300: Loss = 0.010579703375697136, lr = [5e-05] +[2024-05-21 23:33:47,988] - INFO: Epoch 5647/9999, Iter 282320: Loss = 0.011651072651147842, lr = [5e-05] +[2024-05-21 23:34:15,903] - INFO: Epoch 5647/9999, Iter 282340: Loss = 0.013428621925413609, lr = [5e-05] +[2024-05-21 23:34:45,163] - INFO: Epoch 5648/9999, Iter 282360: Loss = 0.0185235645622015, lr = [5e-05] +[2024-05-21 23:35:12,867] - INFO: Epoch 5648/9999, Iter 282380: Loss = 0.0074999635107815266, lr = [5e-05] +[2024-05-21 23:35:42,191] - INFO: Epoch 5649/9999, Iter 282400: Loss = 0.010272330604493618, lr = [5e-05] +[2024-05-21 23:36:09,271] - INFO: Epoch 5649/9999, Iter 282420: Loss = 0.010792173445224762, lr = [5e-05] +[2024-05-21 23:36:37,551] - INFO: Epoch 5649/9999, Iter 282440: Loss = 0.014648943208158016, lr = [5e-05] +[2024-05-21 23:37:07,044] - INFO: Epoch 5650/9999, Iter 282460: Loss = 0.0078699616715312, lr = [5e-05] +[2024-05-21 23:37:34,493] - INFO: Epoch 5650/9999, Iter 282480: Loss = 0.010065942071378231, lr = [5e-05] +[2024-05-21 23:38:00,689] - INFO: Evaluate at epoch 5650! +[2024-05-21 23:38:04,696] - INFO: Eval PSNR (max): 38.041 (5620) SSIM (max): 0.9611 (5335) +[2024-05-21 23:38:04,696] - INFO: Eval PSNR (current): 37.986 (5650) SSIM (current): 0.9608 (5650) +[2024-05-21 23:38:04,696] - INFO: Evaluation over. +[2024-05-21 23:38:09,239] - INFO: Epoch 5651/9999, Iter 282500: Loss = 0.008520681411027908, lr = [5e-05] +[2024-05-21 23:38:36,435] - INFO: Epoch 5651/9999, Iter 282520: Loss = 0.014357604086399078, lr = [5e-05] +[2024-05-21 23:39:04,349] - INFO: Epoch 5651/9999, Iter 282540: Loss = 0.011652378365397453, lr = [5e-05] +[2024-05-21 23:39:33,551] - INFO: Epoch 5652/9999, Iter 282560: Loss = 0.014902645722031593, lr = [5e-05] +[2024-05-21 23:40:01,695] - INFO: Epoch 5652/9999, Iter 282580: Loss = 0.01325515378266573, lr = [5e-05] +[2024-05-21 23:40:30,810] - INFO: Epoch 5653/9999, Iter 282600: Loss = 0.014544297009706497, lr = [5e-05] +[2024-05-21 23:40:58,165] - INFO: Epoch 5653/9999, Iter 282620: Loss = 0.014206486754119396, lr = [5e-05] +[2024-05-21 23:41:26,091] - INFO: Epoch 5653/9999, Iter 282640: Loss = 0.013689052313566208, lr = [5e-05] +[2024-05-21 23:41:54,469] - INFO: Epoch 5654/9999, Iter 282660: Loss = 0.015309303067624569, lr = [5e-05] +[2024-05-21 23:42:21,367] - INFO: Epoch 5654/9999, Iter 282680: Loss = 0.008341739885509014, lr = [5e-05] +[2024-05-21 23:42:50,855] - INFO: Epoch 5655/9999, Iter 282700: Loss = 0.02056356891989708, lr = [5e-05] +[2024-05-21 23:43:19,139] - INFO: Epoch 5655/9999, Iter 282720: Loss = 0.010036488063633442, lr = [5e-05] +[2024-05-21 23:43:46,828] - INFO: Epoch 5655/9999, Iter 282740: Loss = 0.014155511744320393, lr = [5e-05] +[2024-05-21 23:43:59,052] - INFO: Evaluate at epoch 5655! +[2024-05-21 23:44:03,059] - INFO: Eval PSNR (max): 38.041 (5620) SSIM (max): 0.9611 (5335) +[2024-05-21 23:44:03,059] - INFO: Eval PSNR (current): 38.029 (5655) SSIM (current): 0.9610 (5655) +[2024-05-21 23:44:03,059] - INFO: Evaluation over. +[2024-05-21 23:44:21,621] - INFO: Epoch 5656/9999, Iter 282760: Loss = 0.01416101772338152, lr = [5e-05] +[2024-05-21 23:44:49,608] - INFO: Epoch 5656/9999, Iter 282780: Loss = 0.013514631427824497, lr = [5e-05] +[2024-05-21 23:45:19,078] - INFO: Epoch 5657/9999, Iter 282800: Loss = 0.013972547836601734, lr = [5e-05] +[2024-05-21 23:45:47,187] - INFO: Epoch 5657/9999, Iter 282820: Loss = 0.012164621613919735, lr = [5e-05] +[2024-05-21 23:46:14,863] - INFO: Epoch 5657/9999, Iter 282840: Loss = 0.008685125038027763, lr = [5e-05] +[2024-05-21 23:46:44,290] - INFO: Epoch 5658/9999, Iter 282860: Loss = 0.01437940914183855, lr = [5e-05] +[2024-05-21 23:47:11,662] - INFO: Epoch 5658/9999, Iter 282880: Loss = 0.019015131518244743, lr = [5e-05] +[2024-05-21 23:47:41,307] - INFO: Epoch 5659/9999, Iter 282900: Loss = 0.011537219397723675, lr = [5e-05] +[2024-05-21 23:48:08,996] - INFO: Epoch 5659/9999, Iter 282920: Loss = 0.01429595798254013, lr = [5e-05] +[2024-05-21 23:48:36,563] - INFO: Epoch 5659/9999, Iter 282940: Loss = 0.010699402540922165, lr = [5e-05] +[2024-05-21 23:49:05,655] - INFO: Epoch 5660/9999, Iter 282960: Loss = 0.017388060688972473, lr = [5e-05] +[2024-05-21 23:49:34,130] - INFO: Epoch 5660/9999, Iter 282980: Loss = 0.014179605059325695, lr = [5e-05] +[2024-05-21 23:50:00,285] - INFO: Evaluate at epoch 5660! +[2024-05-21 23:50:04,296] - INFO: Eval PSNR (max): 38.041 (5620) SSIM (max): 0.9611 (5335) +[2024-05-21 23:50:04,296] - INFO: Eval PSNR (current): 38.012 (5660) SSIM (current): 0.9609 (5660) +[2024-05-21 23:50:04,297] - INFO: Evaluation over. +[2024-05-21 23:50:08,780] - INFO: Epoch 5661/9999, Iter 283000: Loss = 0.008473924361169338, lr = [5e-05] +[2024-05-21 23:50:35,511] - INFO: Epoch 5661/9999, Iter 283020: Loss = 0.01351869571954012, lr = [5e-05] +[2024-05-21 23:51:02,974] - INFO: Epoch 5661/9999, Iter 283040: Loss = 0.011969594284892082, lr = [5e-05] +[2024-05-21 23:51:32,431] - INFO: Epoch 5662/9999, Iter 283060: Loss = 0.011938476003706455, lr = [5e-05] +[2024-05-21 23:51:59,183] - INFO: Epoch 5662/9999, Iter 283080: Loss = 0.013258684426546097, lr = [5e-05] +[2024-05-21 23:52:28,074] - INFO: Epoch 5663/9999, Iter 283100: Loss = 0.012747418135404587, lr = [5e-05] +[2024-05-21 23:52:55,228] - INFO: Epoch 5663/9999, Iter 283120: Loss = 0.009481980465352535, lr = [5e-05] +[2024-05-21 23:53:22,667] - INFO: Epoch 5663/9999, Iter 283140: Loss = 0.017146417871117592, lr = [5e-05] +[2024-05-21 23:53:51,875] - INFO: Epoch 5664/9999, Iter 283160: Loss = 0.017048059031367302, lr = [5e-05] +[2024-05-21 23:54:20,463] - INFO: Epoch 5664/9999, Iter 283180: Loss = 0.014704138971865177, lr = [5e-05] +[2024-05-21 23:54:49,830] - INFO: Epoch 5665/9999, Iter 283200: Loss = 0.010647211223840714, lr = [5e-05] +[2024-05-21 23:55:16,755] - INFO: Epoch 5665/9999, Iter 283220: Loss = 0.011999012902379036, lr = [5e-05] +[2024-05-21 23:55:44,127] - INFO: Epoch 5665/9999, Iter 283240: Loss = 0.016208533197641373, lr = [5e-05] +[2024-05-21 23:55:57,045] - INFO: Evaluate at epoch 5665! +[2024-05-21 23:56:01,050] - INFO: Eval PSNR (max): 38.041 (5620) SSIM (max): 0.9611 (5335) +[2024-05-21 23:56:01,051] - INFO: Eval PSNR (current): 38.000 (5665) SSIM (current): 0.9608 (5665) +[2024-05-21 23:56:01,051] - INFO: Evaluation over. +[2024-05-21 23:56:20,104] - INFO: Epoch 5666/9999, Iter 283260: Loss = 0.015619379468262196, lr = [5e-05] +[2024-05-21 23:56:48,103] - INFO: Epoch 5666/9999, Iter 283280: Loss = 0.01075572706758976, lr = [5e-05] +[2024-05-21 23:57:16,767] - INFO: Epoch 5667/9999, Iter 283300: Loss = 0.008565873838961124, lr = [5e-05] +[2024-05-21 23:57:43,403] - INFO: Epoch 5667/9999, Iter 283320: Loss = 0.012190263718366623, lr = [5e-05] +[2024-05-21 23:58:11,055] - INFO: Epoch 5667/9999, Iter 283340: Loss = 0.013195098377764225, lr = [5e-05] +[2024-05-21 23:58:40,555] - INFO: Epoch 5668/9999, Iter 283360: Loss = 0.012774201110005379, lr = [5e-05] +[2024-05-21 23:59:07,746] - INFO: Epoch 5668/9999, Iter 283380: Loss = 0.010568666271865368, lr = [5e-05] +[2024-05-21 23:59:35,759] - INFO: Epoch 5669/9999, Iter 283400: Loss = 0.012228875420987606, lr = [5e-05] +[2024-05-22 00:00:03,902] - INFO: Epoch 5669/9999, Iter 283420: Loss = 0.011827473528683186, lr = [5e-05] +[2024-05-22 00:00:30,385] - INFO: Epoch 5669/9999, Iter 283440: Loss = 0.01051718182861805, lr = [5e-05] +[2024-05-22 00:01:00,087] - INFO: Epoch 5670/9999, Iter 283460: Loss = 0.015000523999333382, lr = [5e-05] +[2024-05-22 00:01:27,994] - INFO: Epoch 5670/9999, Iter 283480: Loss = 0.011831066571176052, lr = [5e-05] +[2024-05-22 00:01:54,529] - INFO: Evaluate at epoch 5670! +[2024-05-22 00:01:58,535] - INFO: Eval PSNR (max): 38.041 (5620) SSIM (max): 0.9611 (5335) +[2024-05-22 00:01:58,535] - INFO: Eval PSNR (current): 38.022 (5670) SSIM (current): 0.9609 (5670) +[2024-05-22 00:01:58,535] - INFO: Evaluation over. +[2024-05-22 00:02:03,191] - INFO: Epoch 5671/9999, Iter 283500: Loss = 0.009882108308374882, lr = [5e-05] +[2024-05-22 00:02:29,867] - INFO: Epoch 5671/9999, Iter 283520: Loss = 0.012912384234368801, lr = [5e-05] +[2024-05-22 00:02:58,627] - INFO: Epoch 5671/9999, Iter 283540: Loss = 0.0099710151553154, lr = [5e-05] +[2024-05-22 00:03:28,047] - INFO: Epoch 5672/9999, Iter 283560: Loss = 0.008636852726340294, lr = [5e-05] +[2024-05-22 00:03:55,136] - INFO: Epoch 5672/9999, Iter 283580: Loss = 0.0165579654276371, lr = [5e-05] +[2024-05-22 00:04:23,619] - INFO: Epoch 5673/9999, Iter 283600: Loss = 0.01222271379083395, lr = [5e-05] +[2024-05-22 00:04:50,512] - INFO: Epoch 5673/9999, Iter 283620: Loss = 0.010559653863310814, lr = [5e-05] +[2024-05-22 00:05:17,058] - INFO: Epoch 5673/9999, Iter 283640: Loss = 0.010345347225666046, lr = [5e-05] +[2024-05-22 00:05:46,844] - INFO: Epoch 5674/9999, Iter 283660: Loss = 0.015885040163993835, lr = [5e-05] +[2024-05-22 00:06:14,989] - INFO: Epoch 5674/9999, Iter 283680: Loss = 0.023744216188788414, lr = [5e-05] +[2024-05-22 00:06:44,691] - INFO: Epoch 5675/9999, Iter 283700: Loss = 0.015191838145256042, lr = [5e-05] +[2024-05-22 00:07:12,686] - INFO: Epoch 5675/9999, Iter 283720: Loss = 0.011775786988437176, lr = [5e-05] diff --git a/RNAN/RNAN_3.log b/RNAN/RNAN_3.log new file mode 100644 index 0000000000000000000000000000000000000000..625a3f2679519143458ea29693a8ef0cc5d84b21 --- /dev/null +++ b/RNAN/RNAN_3.log @@ -0,0 +1,7952 @@ +[2024-05-24 06:23:20,604] - INFO: LOGGER SETUP COMPLETED +[2024-05-24 06:23:20,724] - INFO: DATASET LOADED +[2024-05-24 06:23:21,030] - INFO: MODEL LOADED +[2024-05-24 06:23:21,030] - INFO: Device: cuda +[2024-05-24 06:23:25,901] - INFO: Load Pretrained model at epoch 5670 +[2024-05-24 06:23:31,363] - INFO: Epoch 5671/9999, Iter 283500: Loss = 0.014301305636763573, lr = [0.0001] +[2024-05-24 06:24:05,638] - INFO: Epoch 5671/9999, Iter 283520: Loss = 0.008395944721996784, lr = [0.0001] +[2024-05-24 06:24:39,722] - INFO: Epoch 5671/9999, Iter 283540: Loss = 0.010211699642241001, lr = [0.0001] +[2024-05-24 06:25:13,554] - INFO: Epoch 5672/9999, Iter 283560: Loss = 0.009464588947594166, lr = [0.0001] +[2024-05-24 06:25:41,391] - INFO: Epoch 5672/9999, Iter 283580: Loss = 0.018487872555851936, lr = [0.0001] +[2024-05-24 06:26:10,702] - INFO: Epoch 5673/9999, Iter 283600: Loss = 0.013983987271785736, lr = [0.0001] +[2024-05-24 06:26:38,166] - INFO: Epoch 5673/9999, Iter 283620: Loss = 0.010428152047097683, lr = [0.0001] +[2024-05-24 06:27:05,777] - INFO: Epoch 5673/9999, Iter 283640: Loss = 0.006907694973051548, lr = [0.0001] +[2024-05-24 06:27:35,243] - INFO: Epoch 5674/9999, Iter 283660: Loss = 0.020392417907714844, lr = [0.0001] +[2024-05-24 06:28:03,327] - INFO: Epoch 5674/9999, Iter 283680: Loss = 0.013429753482341766, lr = [0.0001] +[2024-05-24 06:28:31,834] - INFO: Epoch 5675/9999, Iter 283700: Loss = 0.012619711458683014, lr = [0.0001] +[2024-05-24 06:29:00,147] - INFO: Epoch 5675/9999, Iter 283720: Loss = 0.014230608940124512, lr = [0.0001] +[2024-05-24 06:29:28,090] - INFO: Epoch 5675/9999, Iter 283740: Loss = 0.011193329468369484, lr = [0.0001] +[2024-05-24 06:29:40,615] - INFO: Evaluate at epoch 5675! +[2024-05-24 06:29:44,890] - INFO: Eval PSNR (max): 38.041 (5620) SSIM (max): 0.9611 (5335) +[2024-05-24 06:29:44,890] - INFO: Eval PSNR (current): 37.847 (5675) SSIM (current): 0.9603 (5675) +[2024-05-24 06:29:44,890] - INFO: Evaluation over. +[2024-05-24 06:30:03,091] - INFO: Epoch 5676/9999, Iter 283760: Loss = 0.015209654346108437, lr = [0.0001] +[2024-05-24 06:30:31,696] - INFO: Epoch 5676/9999, Iter 283780: Loss = 0.010606658644974232, lr = [0.0001] +[2024-05-24 06:31:00,491] - INFO: Epoch 5677/9999, Iter 283800: Loss = 0.009055091999471188, lr = [0.0001] +[2024-05-24 06:31:28,049] - INFO: Epoch 5677/9999, Iter 283820: Loss = 0.014939818531274796, lr = [0.0001] +[2024-05-24 06:31:55,791] - INFO: Epoch 5677/9999, Iter 283840: Loss = 0.012800800614058971, lr = [0.0001] +[2024-05-24 06:32:26,067] - INFO: Epoch 5678/9999, Iter 283860: Loss = 0.010346869938075542, lr = [0.0001] +[2024-05-24 06:32:53,907] - INFO: Epoch 5678/9999, Iter 283880: Loss = 0.01505738589912653, lr = [0.0001] +[2024-05-24 06:33:22,474] - INFO: Epoch 5679/9999, Iter 283900: Loss = 0.016523288562893867, lr = [0.0001] +[2024-05-24 06:33:49,134] - INFO: Epoch 5679/9999, Iter 283920: Loss = 0.014993498101830482, lr = [0.0001] +[2024-05-24 06:34:16,295] - INFO: Epoch 5679/9999, Iter 283940: Loss = 0.012898063287138939, lr = [0.0001] +[2024-05-24 06:34:46,612] - INFO: Epoch 5680/9999, Iter 283960: Loss = 0.012371501885354519, lr = [0.0001] +[2024-05-24 06:35:13,510] - INFO: Epoch 5680/9999, Iter 283980: Loss = 0.011763540096580982, lr = [0.0001] +[2024-05-24 06:35:39,497] - INFO: Evaluate at epoch 5680! +[2024-05-24 06:35:43,649] - INFO: Eval PSNR (max): 38.041 (5620) SSIM (max): 0.9611 (5335) +[2024-05-24 06:35:43,649] - INFO: Eval PSNR (current): 37.928 (5680) SSIM (current): 0.9606 (5680) +[2024-05-24 06:35:43,649] - INFO: Evaluation over. +[2024-05-24 06:35:48,131] - INFO: Epoch 5681/9999, Iter 284000: Loss = 0.010376711376011372, lr = [0.0001] +[2024-05-24 06:36:16,088] - INFO: Epoch 5681/9999, Iter 284020: Loss = 0.015043050982058048, lr = [0.0001] +[2024-05-24 06:36:43,721] - INFO: Epoch 5681/9999, Iter 284040: Loss = 0.014987455680966377, lr = [0.0001] +[2024-05-24 06:37:13,035] - INFO: Epoch 5682/9999, Iter 284060: Loss = 0.01380536612123251, lr = [0.0001] +[2024-05-24 06:37:40,015] - INFO: Epoch 5682/9999, Iter 284080: Loss = 0.01225109864026308, lr = [0.0001] +[2024-05-24 06:38:09,183] - INFO: Epoch 5683/9999, Iter 284100: Loss = 0.011331649497151375, lr = [0.0001] +[2024-05-24 06:38:36,509] - INFO: Epoch 5683/9999, Iter 284120: Loss = 0.015605024062097073, lr = [0.0001] +[2024-05-24 06:39:04,650] - INFO: Epoch 5683/9999, Iter 284140: Loss = 0.014490452595055103, lr = [0.0001] +[2024-05-24 06:39:33,926] - INFO: Epoch 5684/9999, Iter 284160: Loss = 0.012708103284239769, lr = [0.0001] +[2024-05-24 06:40:01,218] - INFO: Epoch 5684/9999, Iter 284180: Loss = 0.012617530301213264, lr = [0.0001] +[2024-05-24 06:40:30,393] - INFO: Epoch 5685/9999, Iter 284200: Loss = 0.020145239308476448, lr = [0.0001] +[2024-05-24 06:40:59,422] - INFO: Epoch 5685/9999, Iter 284220: Loss = 0.011537506245076656, lr = [0.0001] +[2024-05-24 06:41:26,428] - INFO: Epoch 5685/9999, Iter 284240: Loss = 0.012456242926418781, lr = [0.0001] +[2024-05-24 06:41:38,524] - INFO: Evaluate at epoch 5685! +[2024-05-24 06:41:42,698] - INFO: Eval PSNR (max): 38.041 (5620) SSIM (max): 0.9611 (5335) +[2024-05-24 06:41:42,698] - INFO: Eval PSNR (current): 37.944 (5685) SSIM (current): 0.9607 (5685) +[2024-05-24 06:41:42,698] - INFO: Evaluation over. +[2024-05-24 06:42:01,519] - INFO: Epoch 5686/9999, Iter 284260: Loss = 0.013072296977043152, lr = [0.0001] +[2024-05-24 06:42:29,495] - INFO: Epoch 5686/9999, Iter 284280: Loss = 0.015640465542674065, lr = [0.0001] +[2024-05-24 06:42:58,650] - INFO: Epoch 5687/9999, Iter 284300: Loss = 0.017060616984963417, lr = [0.0001] +[2024-05-24 06:43:25,891] - INFO: Epoch 5687/9999, Iter 284320: Loss = 0.01372705027461052, lr = [0.0001] +[2024-05-24 06:43:53,698] - INFO: Epoch 5687/9999, Iter 284340: Loss = 0.016440045088529587, lr = [0.0001] +[2024-05-24 06:44:23,539] - INFO: Epoch 5688/9999, Iter 284360: Loss = 0.017611434683203697, lr = [0.0001] +[2024-05-24 06:44:51,423] - INFO: Epoch 5688/9999, Iter 284380: Loss = 0.01578146405518055, lr = [0.0001] +[2024-05-24 06:45:20,715] - INFO: Epoch 5689/9999, Iter 284400: Loss = 0.01709774322807789, lr = [0.0001] +[2024-05-24 06:45:48,535] - INFO: Epoch 5689/9999, Iter 284420: Loss = 0.012873183935880661, lr = [0.0001] +[2024-05-24 06:46:17,147] - INFO: Epoch 5689/9999, Iter 284440: Loss = 0.01388599257916212, lr = [0.0001] +[2024-05-24 06:46:45,583] - INFO: Epoch 5690/9999, Iter 284460: Loss = 0.008347953669726849, lr = [0.0001] +[2024-05-24 06:47:13,841] - INFO: Epoch 5690/9999, Iter 284480: Loss = 0.010115069337189198, lr = [0.0001] +[2024-05-24 06:47:39,905] - INFO: Evaluate at epoch 5690! +[2024-05-24 06:47:44,195] - INFO: Eval PSNR (max): 38.041 (5620) SSIM (max): 0.9611 (5335) +[2024-05-24 06:47:44,195] - INFO: Eval PSNR (current): 37.923 (5690) SSIM (current): 0.9605 (5690) +[2024-05-24 06:47:44,195] - INFO: Evaluation over. +[2024-05-24 06:47:49,086] - INFO: Epoch 5691/9999, Iter 284500: Loss = 0.01330938097089529, lr = [0.0001] +[2024-05-24 06:48:17,087] - INFO: Epoch 5691/9999, Iter 284520: Loss = 0.016044089570641518, lr = [0.0001] +[2024-05-24 06:48:44,740] - INFO: Epoch 5691/9999, Iter 284540: Loss = 0.02026412822306156, lr = [0.0001] +[2024-05-24 06:49:13,664] - INFO: Epoch 5692/9999, Iter 284560: Loss = 0.00755359698086977, lr = [0.0001] +[2024-05-24 06:49:41,987] - INFO: Epoch 5692/9999, Iter 284580: Loss = 0.011127074249088764, lr = [0.0001] +[2024-05-24 06:50:09,915] - INFO: Epoch 5693/9999, Iter 284600: Loss = 0.014696598052978516, lr = [0.0001] +[2024-05-24 06:50:38,636] - INFO: Epoch 5693/9999, Iter 284620: Loss = 0.01375550962984562, lr = [0.0001] +[2024-05-24 06:51:06,531] - INFO: Epoch 5693/9999, Iter 284640: Loss = 0.012364224530756474, lr = [0.0001] +[2024-05-24 06:51:35,622] - INFO: Epoch 5694/9999, Iter 284660: Loss = 0.009747467003762722, lr = [0.0001] +[2024-05-24 06:52:03,219] - INFO: Epoch 5694/9999, Iter 284680: Loss = 0.012982316315174103, lr = [0.0001] +[2024-05-24 06:52:30,975] - INFO: Epoch 5695/9999, Iter 284700: Loss = 0.009969748556613922, lr = [0.0001] +[2024-05-24 06:52:58,959] - INFO: Epoch 5695/9999, Iter 284720: Loss = 0.01720603182911873, lr = [0.0001] +[2024-05-24 06:53:26,773] - INFO: Epoch 5695/9999, Iter 284740: Loss = 0.01778024435043335, lr = [0.0001] +[2024-05-24 06:53:39,186] - INFO: Evaluate at epoch 5695! +[2024-05-24 06:53:43,260] - INFO: Eval PSNR (max): 38.041 (5620) SSIM (max): 0.9611 (5335) +[2024-05-24 06:53:43,260] - INFO: Eval PSNR (current): 37.978 (5695) SSIM (current): 0.9607 (5695) +[2024-05-24 06:53:43,261] - INFO: Evaluation over. +[2024-05-24 06:54:01,731] - INFO: Epoch 5696/9999, Iter 284760: Loss = 0.013194984756410122, lr = [0.0001] +[2024-05-24 06:54:29,548] - INFO: Epoch 5696/9999, Iter 284780: Loss = 0.013691447675228119, lr = [0.0001] +[2024-05-24 06:54:58,535] - INFO: Epoch 5697/9999, Iter 284800: Loss = 0.008963869884610176, lr = [0.0001] +[2024-05-24 06:55:25,785] - INFO: Epoch 5697/9999, Iter 284820: Loss = 0.018877413123846054, lr = [0.0001] +[2024-05-24 06:55:52,083] - INFO: Epoch 5697/9999, Iter 284840: Loss = 0.012741519138216972, lr = [0.0001] +[2024-05-24 06:56:21,315] - INFO: Epoch 5698/9999, Iter 284860: Loss = 0.013629426248371601, lr = [0.0001] +[2024-05-24 06:56:48,279] - INFO: Epoch 5698/9999, Iter 284880: Loss = 0.009768561460077763, lr = [0.0001] +[2024-05-24 06:57:17,537] - INFO: Epoch 5699/9999, Iter 284900: Loss = 0.011864917352795601, lr = [0.0001] +[2024-05-24 06:57:45,503] - INFO: Epoch 5699/9999, Iter 284920: Loss = 0.015466026030480862, lr = [0.0001] +[2024-05-24 06:58:12,595] - INFO: Epoch 5699/9999, Iter 284940: Loss = 0.011685282923281193, lr = [0.0001] +[2024-05-24 06:58:41,979] - INFO: Epoch 5700/9999, Iter 284960: Loss = 0.009628170169889927, lr = [0.0001] +[2024-05-24 06:59:09,143] - INFO: Epoch 5700/9999, Iter 284980: Loss = 0.015083757229149342, lr = [0.0001] +[2024-05-24 06:59:35,759] - INFO: Evaluate at epoch 5700! +[2024-05-24 06:59:39,801] - INFO: Eval PSNR (max): 38.041 (5620) SSIM (max): 0.9611 (5335) +[2024-05-24 06:59:39,801] - INFO: Eval PSNR (current): 37.923 (5700) SSIM (current): 0.9605 (5700) +[2024-05-24 06:59:39,802] - INFO: Evaluation over. +[2024-05-24 06:59:43,903] - INFO: Epoch 5701/9999, Iter 285000: Loss = 0.010888421908020973, lr = [0.0001] +[2024-05-24 07:00:10,999] - INFO: Epoch 5701/9999, Iter 285020: Loss = 0.013241182081401348, lr = [0.0001] +[2024-05-24 07:00:38,403] - INFO: Epoch 5701/9999, Iter 285040: Loss = 0.00982321985065937, lr = [0.0001] +[2024-05-24 07:01:06,515] - INFO: Epoch 5702/9999, Iter 285060: Loss = 0.014974523335695267, lr = [0.0001] +[2024-05-24 07:01:33,848] - INFO: Epoch 5702/9999, Iter 285080: Loss = 0.013314282521605492, lr = [0.0001] +[2024-05-24 07:02:02,835] - INFO: Epoch 5703/9999, Iter 285100: Loss = 0.015243238769471645, lr = [0.0001] +[2024-05-24 07:02:29,533] - INFO: Epoch 5703/9999, Iter 285120: Loss = 0.008742490783333778, lr = [0.0001] +[2024-05-24 07:02:57,387] - INFO: Epoch 5703/9999, Iter 285140: Loss = 0.014301612973213196, lr = [0.0001] +[2024-05-24 07:03:26,612] - INFO: Epoch 5704/9999, Iter 285160: Loss = 0.010073255747556686, lr = [0.0001] +[2024-05-24 07:03:54,548] - INFO: Epoch 5704/9999, Iter 285180: Loss = 0.014893227256834507, lr = [0.0001] +[2024-05-24 07:04:23,008] - INFO: Epoch 5705/9999, Iter 285200: Loss = 0.01763848029077053, lr = [0.0001] +[2024-05-24 07:04:50,331] - INFO: Epoch 5705/9999, Iter 285220: Loss = 0.014692834578454494, lr = [0.0001] +[2024-05-24 07:05:18,704] - INFO: Epoch 5705/9999, Iter 285240: Loss = 0.015323018655180931, lr = [0.0001] +[2024-05-24 07:05:30,697] - INFO: Evaluate at epoch 5705! +[2024-05-24 07:05:34,828] - INFO: Eval PSNR (max): 38.041 (5620) SSIM (max): 0.9611 (5335) +[2024-05-24 07:05:34,828] - INFO: Eval PSNR (current): 37.960 (5705) SSIM (current): 0.9607 (5705) +[2024-05-24 07:05:34,828] - INFO: Evaluation over. +[2024-05-24 07:05:53,931] - INFO: Epoch 5706/9999, Iter 285260: Loss = 0.010476705618202686, lr = [0.0001] +[2024-05-24 07:06:20,764] - INFO: Epoch 5706/9999, Iter 285280: Loss = 0.011188923381268978, lr = [0.0001] +[2024-05-24 07:06:49,595] - INFO: Epoch 5707/9999, Iter 285300: Loss = 0.016100700944662094, lr = [0.0001] +[2024-05-24 07:07:17,935] - INFO: Epoch 5707/9999, Iter 285320: Loss = 0.009787429124116898, lr = [0.0001] +[2024-05-24 07:07:45,316] - INFO: Epoch 5707/9999, Iter 285340: Loss = 0.010439524427056313, lr = [0.0001] +[2024-05-24 07:08:14,655] - INFO: Epoch 5708/9999, Iter 285360: Loss = 0.015546218492090702, lr = [0.0001] +[2024-05-24 07:08:42,099] - INFO: Epoch 5708/9999, Iter 285380: Loss = 0.01769893616437912, lr = [0.0001] +[2024-05-24 07:09:10,767] - INFO: Epoch 5709/9999, Iter 285400: Loss = 0.010964746586978436, lr = [0.0001] +[2024-05-24 07:09:37,044] - INFO: Epoch 5709/9999, Iter 285420: Loss = 0.015604999847710133, lr = [0.0001] +[2024-05-24 07:10:04,613] - INFO: Epoch 5709/9999, Iter 285440: Loss = 0.009998021647334099, lr = [0.0001] +[2024-05-24 07:10:33,751] - INFO: Epoch 5710/9999, Iter 285460: Loss = 0.015311680734157562, lr = [0.0001] +[2024-05-24 07:11:01,971] - INFO: Epoch 5710/9999, Iter 285480: Loss = 0.017353054136037827, lr = [0.0001] +[2024-05-24 07:11:28,513] - INFO: Evaluate at epoch 5710! +[2024-05-24 07:11:32,553] - INFO: Eval PSNR (max): 38.041 (5620) SSIM (max): 0.9611 (5335) +[2024-05-24 07:11:32,553] - INFO: Eval PSNR (current): 37.888 (5710) SSIM (current): 0.9606 (5710) +[2024-05-24 07:11:32,553] - INFO: Evaluation over. +[2024-05-24 07:11:37,173] - INFO: Epoch 5711/9999, Iter 285500: Loss = 0.01294710673391819, lr = [0.0001] +[2024-05-24 07:12:03,995] - INFO: Epoch 5711/9999, Iter 285520: Loss = 0.009518307633697987, lr = [0.0001] +[2024-05-24 07:12:31,567] - INFO: Epoch 5711/9999, Iter 285540: Loss = 0.008840656839311123, lr = [0.0001] +[2024-05-24 07:13:00,796] - INFO: Epoch 5712/9999, Iter 285560: Loss = 0.011442504823207855, lr = [0.0001] +[2024-05-24 07:13:28,679] - INFO: Epoch 5712/9999, Iter 285580: Loss = 0.011565107852220535, lr = [0.0001] +[2024-05-24 07:13:57,967] - INFO: Epoch 5713/9999, Iter 285600: Loss = 0.009766938164830208, lr = [0.0001] +[2024-05-24 07:14:26,613] - INFO: Epoch 5713/9999, Iter 285620: Loss = 0.015239464119076729, lr = [0.0001] +[2024-05-24 07:14:54,327] - INFO: Epoch 5713/9999, Iter 285640: Loss = 0.015453541651368141, lr = [0.0001] +[2024-05-24 07:15:22,737] - INFO: Epoch 5714/9999, Iter 285660: Loss = 0.01614268496632576, lr = [0.0001] +[2024-05-24 07:15:51,311] - INFO: Epoch 5714/9999, Iter 285680: Loss = 0.011303379200398922, lr = [0.0001] +[2024-05-24 07:16:20,160] - INFO: Epoch 5715/9999, Iter 285700: Loss = 0.01039123721420765, lr = [0.0001] +[2024-05-24 07:16:47,614] - INFO: Epoch 5715/9999, Iter 285720: Loss = 0.012386935763061047, lr = [0.0001] +[2024-05-24 07:17:15,349] - INFO: Epoch 5715/9999, Iter 285740: Loss = 0.015724046155810356, lr = [0.0001] +[2024-05-24 07:17:27,692] - INFO: Evaluate at epoch 5715! +[2024-05-24 07:17:31,722] - INFO: Eval PSNR (max): 38.041 (5620) SSIM (max): 0.9611 (5335) +[2024-05-24 07:17:31,723] - INFO: Eval PSNR (current): 37.995 (5715) SSIM (current): 0.9608 (5715) +[2024-05-24 07:17:31,723] - INFO: Evaluation over. +[2024-05-24 07:17:49,418] - INFO: Epoch 5716/9999, Iter 285760: Loss = 0.012580922804772854, lr = [0.0001] +[2024-05-24 07:18:16,463] - INFO: Epoch 5716/9999, Iter 285780: Loss = 0.013971490785479546, lr = [0.0001] +[2024-05-24 07:18:46,002] - INFO: Epoch 5717/9999, Iter 285800: Loss = 0.01316795963793993, lr = [0.0001] +[2024-05-24 07:19:12,723] - INFO: Epoch 5717/9999, Iter 285820: Loss = 0.013173938728868961, lr = [0.0001] +[2024-05-24 07:19:39,983] - INFO: Epoch 5717/9999, Iter 285840: Loss = 0.00868549756705761, lr = [0.0001] +[2024-05-24 07:20:13,131] - INFO: Epoch 5718/9999, Iter 285860: Loss = 0.01139858178794384, lr = [0.0001] +[2024-05-24 07:20:41,246] - INFO: Epoch 5718/9999, Iter 285880: Loss = 0.010080188512802124, lr = [0.0001] +[2024-05-24 07:21:10,099] - INFO: Epoch 5719/9999, Iter 285900: Loss = 0.011390971019864082, lr = [0.0001] +[2024-05-24 07:21:37,851] - INFO: Epoch 5719/9999, Iter 285920: Loss = 0.01647130399942398, lr = [0.0001] +[2024-05-24 07:22:05,019] - INFO: Epoch 5719/9999, Iter 285940: Loss = 0.012222453951835632, lr = [0.0001] +[2024-05-24 07:22:34,601] - INFO: Epoch 5720/9999, Iter 285960: Loss = 0.014663846231997013, lr = [0.0001] +[2024-05-24 07:23:03,235] - INFO: Epoch 5720/9999, Iter 285980: Loss = 0.01017550379037857, lr = [0.0001] +[2024-05-24 07:23:29,361] - INFO: Evaluate at epoch 5720! +[2024-05-24 07:23:33,411] - INFO: Eval PSNR (max): 38.041 (5620) SSIM (max): 0.9611 (5335) +[2024-05-24 07:23:33,411] - INFO: Eval PSNR (current): 37.929 (5720) SSIM (current): 0.9606 (5720) +[2024-05-24 07:23:33,411] - INFO: Evaluation over. +[2024-05-24 07:23:38,707] - INFO: Epoch 5721/9999, Iter 286000: Loss = 0.015002744272351265, lr = [0.0001] +[2024-05-24 07:24:05,959] - INFO: Epoch 5721/9999, Iter 286020: Loss = 0.01409055944532156, lr = [0.0001] +[2024-05-24 07:24:33,971] - INFO: Epoch 5721/9999, Iter 286040: Loss = 0.013808222487568855, lr = [0.0001] +[2024-05-24 07:25:01,858] - INFO: Epoch 5722/9999, Iter 286060: Loss = 0.019377946853637695, lr = [0.0001] +[2024-05-24 07:25:28,583] - INFO: Epoch 5722/9999, Iter 286080: Loss = 0.009845779277384281, lr = [0.0001] +[2024-05-24 07:25:58,049] - INFO: Epoch 5723/9999, Iter 286100: Loss = 0.01560342125594616, lr = [0.0001] +[2024-05-24 07:26:26,152] - INFO: Epoch 5723/9999, Iter 286120: Loss = 0.013843531720340252, lr = [0.0001] +[2024-05-24 07:26:53,964] - INFO: Epoch 5723/9999, Iter 286140: Loss = 0.013455922715365887, lr = [0.0001] +[2024-05-24 07:27:23,390] - INFO: Epoch 5724/9999, Iter 286160: Loss = 0.009197734296321869, lr = [0.0001] +[2024-05-24 07:27:51,418] - INFO: Epoch 5724/9999, Iter 286180: Loss = 0.007881099358201027, lr = [0.0001] +[2024-05-24 07:28:20,010] - INFO: Epoch 5725/9999, Iter 286200: Loss = 0.012685155496001244, lr = [0.0001] +[2024-05-24 07:28:48,675] - INFO: Epoch 5725/9999, Iter 286220: Loss = 0.014317439869046211, lr = [0.0001] +[2024-05-24 07:29:16,622] - INFO: Epoch 5725/9999, Iter 286240: Loss = 0.01116199605166912, lr = [0.0001] +[2024-05-24 07:29:28,589] - INFO: Evaluate at epoch 5725! +[2024-05-24 07:29:32,625] - INFO: Eval PSNR (max): 38.041 (5620) SSIM (max): 0.9611 (5335) +[2024-05-24 07:29:32,625] - INFO: Eval PSNR (current): 37.961 (5725) SSIM (current): 0.9607 (5725) +[2024-05-24 07:29:32,625] - INFO: Evaluation over. +[2024-05-24 07:29:52,266] - INFO: Epoch 5726/9999, Iter 286260: Loss = 0.012303059920668602, lr = [0.0001] +[2024-05-24 07:30:19,532] - INFO: Epoch 5726/9999, Iter 286280: Loss = 0.012027684599161148, lr = [0.0001] +[2024-05-24 07:30:48,476] - INFO: Epoch 5727/9999, Iter 286300: Loss = 0.014023329131305218, lr = [0.0001] +[2024-05-24 07:31:15,305] - INFO: Epoch 5727/9999, Iter 286320: Loss = 0.0121354591101408, lr = [0.0001] +[2024-05-24 07:31:42,329] - INFO: Epoch 5727/9999, Iter 286340: Loss = 0.012869804166257381, lr = [0.0001] +[2024-05-24 07:32:12,051] - INFO: Epoch 5728/9999, Iter 286360: Loss = 0.009614578448235989, lr = [0.0001] +[2024-05-24 07:32:40,174] - INFO: Epoch 5728/9999, Iter 286380: Loss = 0.017570456489920616, lr = [0.0001] +[2024-05-24 07:33:09,258] - INFO: Epoch 5729/9999, Iter 286400: Loss = 0.014115376397967339, lr = [0.0001] +[2024-05-24 07:33:35,845] - INFO: Epoch 5729/9999, Iter 286420: Loss = 0.010741942562162876, lr = [0.0001] +[2024-05-24 07:34:02,979] - INFO: Epoch 5729/9999, Iter 286440: Loss = 0.01297365128993988, lr = [0.0001] +[2024-05-24 07:34:32,164] - INFO: Epoch 5730/9999, Iter 286460: Loss = 0.012762594036757946, lr = [0.0001] +[2024-05-24 07:35:00,559] - INFO: Epoch 5730/9999, Iter 286480: Loss = 0.012183310464024544, lr = [0.0001] +[2024-05-24 07:35:25,887] - INFO: Evaluate at epoch 5730! +[2024-05-24 07:35:29,893] - INFO: Eval PSNR (max): 38.041 (5620) SSIM (max): 0.9611 (5335) +[2024-05-24 07:35:29,893] - INFO: Eval PSNR (current): 37.947 (5730) SSIM (current): 0.9606 (5730) +[2024-05-24 07:35:29,894] - INFO: Evaluation over. +[2024-05-24 07:35:34,431] - INFO: Epoch 5731/9999, Iter 286500: Loss = 0.007638316601514816, lr = [0.0001] +[2024-05-24 07:36:01,753] - INFO: Epoch 5731/9999, Iter 286520: Loss = 0.011330432258546352, lr = [0.0001] +[2024-05-24 07:36:30,257] - INFO: Epoch 5731/9999, Iter 286540: Loss = 0.01744171418249607, lr = [0.0001] +[2024-05-24 07:36:58,999] - INFO: Epoch 5732/9999, Iter 286560: Loss = 0.012179220095276833, lr = [0.0001] +[2024-05-24 07:37:26,644] - INFO: Epoch 5732/9999, Iter 286580: Loss = 0.0161305982619524, lr = [0.0001] +[2024-05-24 07:37:55,667] - INFO: Epoch 5733/9999, Iter 286600: Loss = 0.01032582949846983, lr = [0.0001] +[2024-05-24 07:38:23,822] - INFO: Epoch 5733/9999, Iter 286620: Loss = 0.016844172030687332, lr = [0.0001] +[2024-05-24 07:38:52,343] - INFO: Epoch 5733/9999, Iter 286640: Loss = 0.013880864717066288, lr = [0.0001] +[2024-05-24 07:39:19,947] - INFO: Epoch 5734/9999, Iter 286660: Loss = 0.008342685177922249, lr = [0.0001] +[2024-05-24 07:39:46,959] - INFO: Epoch 5734/9999, Iter 286680: Loss = 0.01406650710850954, lr = [0.0001] +[2024-05-24 07:40:15,767] - INFO: Epoch 5735/9999, Iter 286700: Loss = 0.013917225413024426, lr = [0.0001] +[2024-05-24 07:40:43,884] - INFO: Epoch 5735/9999, Iter 286720: Loss = 0.014821127988398075, lr = [0.0001] +[2024-05-24 07:41:12,135] - INFO: Epoch 5735/9999, Iter 286740: Loss = 0.008740118704736233, lr = [0.0001] +[2024-05-24 07:41:23,987] - INFO: Evaluate at epoch 5735! +[2024-05-24 07:41:27,999] - INFO: Eval PSNR (max): 38.041 (5620) SSIM (max): 0.9611 (5335) +[2024-05-24 07:41:28,000] - INFO: Eval PSNR (current): 38.012 (5735) SSIM (current): 0.9607 (5735) +[2024-05-24 07:41:28,000] - INFO: Evaluation over. +[2024-05-24 07:41:46,191] - INFO: Epoch 5736/9999, Iter 286760: Loss = 0.017821399495005608, lr = [0.0001] +[2024-05-24 07:42:13,783] - INFO: Epoch 5736/9999, Iter 286780: Loss = 0.010500905103981495, lr = [0.0001] +[2024-05-24 07:42:43,284] - INFO: Epoch 5737/9999, Iter 286800: Loss = 0.018018098548054695, lr = [0.0001] +[2024-05-24 07:43:10,853] - INFO: Epoch 5737/9999, Iter 286820: Loss = 0.010043722577393055, lr = [0.0001] +[2024-05-24 07:43:39,419] - INFO: Epoch 5737/9999, Iter 286840: Loss = 0.014109400101006031, lr = [0.0001] +[2024-05-24 07:44:08,531] - INFO: Epoch 5738/9999, Iter 286860: Loss = 0.015038955956697464, lr = [0.0001] +[2024-05-24 07:44:36,882] - INFO: Epoch 5738/9999, Iter 286880: Loss = 0.012172803282737732, lr = [0.0001] +[2024-05-24 07:45:05,759] - INFO: Epoch 5739/9999, Iter 286900: Loss = 0.008656950667500496, lr = [0.0001] +[2024-05-24 07:45:33,430] - INFO: Epoch 5739/9999, Iter 286920: Loss = 0.010855688713490963, lr = [0.0001] +[2024-05-24 07:46:01,092] - INFO: Epoch 5739/9999, Iter 286940: Loss = 0.010300510562956333, lr = [0.0001] +[2024-05-24 07:46:29,079] - INFO: Epoch 5740/9999, Iter 286960: Loss = 0.012483073398470879, lr = [0.0001] +[2024-05-24 07:46:56,317] - INFO: Epoch 5740/9999, Iter 286980: Loss = 0.013436781242489815, lr = [0.0001] +[2024-05-24 07:47:22,061] - INFO: Evaluate at epoch 5740! +[2024-05-24 07:47:26,087] - INFO: Eval PSNR (max): 38.041 (5620) SSIM (max): 0.9611 (5335) +[2024-05-24 07:47:26,088] - INFO: Eval PSNR (current): 37.873 (5740) SSIM (current): 0.9604 (5740) +[2024-05-24 07:47:26,088] - INFO: Evaluation over. +[2024-05-24 07:47:30,655] - INFO: Epoch 5741/9999, Iter 287000: Loss = 0.0068340301513671875, lr = [0.0001] +[2024-05-24 07:47:58,152] - INFO: Epoch 5741/9999, Iter 287020: Loss = 0.012382236309349537, lr = [0.0001] +[2024-05-24 07:48:25,202] - INFO: Epoch 5741/9999, Iter 287040: Loss = 0.012487025931477547, lr = [0.0001] +[2024-05-24 07:48:53,571] - INFO: Epoch 5742/9999, Iter 287060: Loss = 0.011233239434659481, lr = [0.0001] +[2024-05-24 07:49:20,265] - INFO: Epoch 5742/9999, Iter 287080: Loss = 0.01042181346565485, lr = [0.0001] +[2024-05-24 07:49:49,504] - INFO: Epoch 5743/9999, Iter 287100: Loss = 0.013738146983087063, lr = [0.0001] +[2024-05-24 07:50:18,247] - INFO: Epoch 5743/9999, Iter 287120: Loss = 0.011358796618878841, lr = [0.0001] +[2024-05-24 07:50:45,851] - INFO: Epoch 5743/9999, Iter 287140: Loss = 0.008791456930339336, lr = [0.0001] +[2024-05-24 07:51:14,735] - INFO: Epoch 5744/9999, Iter 287160: Loss = 0.012131652794778347, lr = [0.0001] +[2024-05-24 07:51:42,337] - INFO: Epoch 5744/9999, Iter 287180: Loss = 0.012627558782696724, lr = [0.0001] +[2024-05-24 07:52:11,454] - INFO: Epoch 5745/9999, Iter 287200: Loss = 0.010422492399811745, lr = [0.0001] +[2024-05-24 07:52:39,795] - INFO: Epoch 5745/9999, Iter 287220: Loss = 0.010346625000238419, lr = [0.0001] +[2024-05-24 07:53:07,251] - INFO: Epoch 5745/9999, Iter 287240: Loss = 0.017897430807352066, lr = [0.0001] +[2024-05-24 07:53:19,330] - INFO: Evaluate at epoch 5745! +[2024-05-24 07:53:23,352] - INFO: Eval PSNR (max): 38.041 (5620) SSIM (max): 0.9611 (5335) +[2024-05-24 07:53:23,352] - INFO: Eval PSNR (current): 37.894 (5745) SSIM (current): 0.9605 (5745) +[2024-05-24 07:53:23,352] - INFO: Evaluation over. +[2024-05-24 07:53:41,313] - INFO: Epoch 5746/9999, Iter 287260: Loss = 0.016692515462636948, lr = [0.0001] +[2024-05-24 07:54:09,031] - INFO: Epoch 5746/9999, Iter 287280: Loss = 0.012496030889451504, lr = [0.0001] +[2024-05-24 07:54:38,443] - INFO: Epoch 5747/9999, Iter 287300: Loss = 0.011895814910531044, lr = [0.0001] +[2024-05-24 07:55:06,042] - INFO: Epoch 5747/9999, Iter 287320: Loss = 0.017449861392378807, lr = [0.0001] +[2024-05-24 07:55:33,276] - INFO: Epoch 5747/9999, Iter 287340: Loss = 0.012687546201050282, lr = [0.0001] +[2024-05-24 07:56:01,904] - INFO: Epoch 5748/9999, Iter 287360: Loss = 0.012592821381986141, lr = [0.0001] +[2024-05-24 07:56:29,551] - INFO: Epoch 5748/9999, Iter 287380: Loss = 0.015337925404310226, lr = [0.0001] +[2024-05-24 07:56:57,760] - INFO: Epoch 5749/9999, Iter 287400: Loss = 0.013185326009988785, lr = [0.0001] +[2024-05-24 07:57:25,165] - INFO: Epoch 5749/9999, Iter 287420: Loss = 0.005855252500623465, lr = [0.0001] +[2024-05-24 07:57:53,730] - INFO: Epoch 5749/9999, Iter 287440: Loss = 0.008278198540210724, lr = [0.0001] +[2024-05-24 07:58:22,515] - INFO: Epoch 5750/9999, Iter 287460: Loss = 0.013585771434009075, lr = [0.0001] +[2024-05-24 07:58:49,146] - INFO: Epoch 5750/9999, Iter 287480: Loss = 0.012788686901330948, lr = [0.0001] +[2024-05-24 07:59:15,808] - INFO: Evaluate at epoch 5750! +[2024-05-24 07:59:19,833] - INFO: Eval PSNR (max): 38.041 (5620) SSIM (max): 0.9611 (5335) +[2024-05-24 07:59:19,833] - INFO: Eval PSNR (current): 37.920 (5750) SSIM (current): 0.9607 (5750) +[2024-05-24 07:59:19,834] - INFO: Evaluation over. +[2024-05-24 07:59:24,371] - INFO: Epoch 5751/9999, Iter 287500: Loss = 0.014571760781109333, lr = [0.0001] +[2024-05-24 07:59:51,875] - INFO: Epoch 5751/9999, Iter 287520: Loss = 0.01657829061150551, lr = [0.0001] +[2024-05-24 08:00:18,843] - INFO: Epoch 5751/9999, Iter 287540: Loss = 0.012620696797966957, lr = [0.0001] +[2024-05-24 08:00:48,504] - INFO: Epoch 5752/9999, Iter 287560: Loss = 0.014189006760716438, lr = [0.0001] +[2024-05-24 08:01:16,152] - INFO: Epoch 5752/9999, Iter 287580: Loss = 0.016862355172634125, lr = [0.0001] +[2024-05-24 08:01:45,481] - INFO: Epoch 5753/9999, Iter 287600: Loss = 0.01492326334118843, lr = [0.0001] +[2024-05-24 08:02:12,814] - INFO: Epoch 5753/9999, Iter 287620: Loss = 0.015880053862929344, lr = [0.0001] +[2024-05-24 08:02:40,463] - INFO: Epoch 5753/9999, Iter 287640: Loss = 0.01672377996146679, lr = [0.0001] +[2024-05-24 08:03:09,040] - INFO: Epoch 5754/9999, Iter 287660: Loss = 0.007648327387869358, lr = [0.0001] +[2024-05-24 08:03:36,358] - INFO: Epoch 5754/9999, Iter 287680: Loss = 0.018007252365350723, lr = [0.0001] +[2024-05-24 08:04:05,791] - INFO: Epoch 5755/9999, Iter 287700: Loss = 0.010368537157773972, lr = [0.0001] +[2024-05-24 08:04:34,066] - INFO: Epoch 5755/9999, Iter 287720: Loss = 0.018772277981042862, lr = [0.0001] +[2024-05-24 08:05:01,799] - INFO: Epoch 5755/9999, Iter 287740: Loss = 0.016093334183096886, lr = [0.0001] +[2024-05-24 08:05:13,958] - INFO: Evaluate at epoch 5755! +[2024-05-24 08:05:17,993] - INFO: Eval PSNR (max): 38.041 (5620) SSIM (max): 0.9611 (5335) +[2024-05-24 08:05:17,993] - INFO: Eval PSNR (current): 37.979 (5755) SSIM (current): 0.9606 (5755) +[2024-05-24 08:05:17,993] - INFO: Evaluation over. +[2024-05-24 08:05:36,831] - INFO: Epoch 5756/9999, Iter 287760: Loss = 0.01233292743563652, lr = [0.0001] +[2024-05-24 08:06:03,434] - INFO: Epoch 5756/9999, Iter 287780: Loss = 0.014044520445168018, lr = [0.0001] +[2024-05-24 08:06:32,850] - INFO: Epoch 5757/9999, Iter 287800: Loss = 0.014722040854394436, lr = [0.0001] +[2024-05-24 08:07:00,747] - INFO: Epoch 5757/9999, Iter 287820: Loss = 0.010373956523835659, lr = [0.0001] +[2024-05-24 08:07:27,684] - INFO: Epoch 5757/9999, Iter 287840: Loss = 0.010473626665771008, lr = [0.0001] +[2024-05-24 08:07:56,259] - INFO: Epoch 5758/9999, Iter 287860: Loss = 0.011439360678195953, lr = [0.0001] +[2024-05-24 08:08:24,382] - INFO: Epoch 5758/9999, Iter 287880: Loss = 0.02060145139694214, lr = [0.0001] +[2024-05-24 08:08:53,665] - INFO: Epoch 5759/9999, Iter 287900: Loss = 0.015517539344727993, lr = [0.0001] +[2024-05-24 08:09:21,521] - INFO: Epoch 5759/9999, Iter 287920: Loss = 0.01157128345221281, lr = [0.0001] +[2024-05-24 08:09:49,943] - INFO: Epoch 5759/9999, Iter 287940: Loss = 0.012697971425950527, lr = [0.0001] +[2024-05-24 08:10:19,671] - INFO: Epoch 5760/9999, Iter 287960: Loss = 0.009980225935578346, lr = [0.0001] +[2024-05-24 08:10:47,062] - INFO: Epoch 5760/9999, Iter 287980: Loss = 0.007469510659575462, lr = [0.0001] +[2024-05-24 08:11:12,942] - INFO: Evaluate at epoch 5760! +[2024-05-24 08:11:16,964] - INFO: Eval PSNR (max): 38.041 (5620) SSIM (max): 0.9611 (5335) +[2024-05-24 08:11:16,965] - INFO: Eval PSNR (current): 37.977 (5760) SSIM (current): 0.9608 (5760) +[2024-05-24 08:11:16,965] - INFO: Evaluation over. +[2024-05-24 08:11:21,280] - INFO: Epoch 5761/9999, Iter 288000: Loss = 0.011727419681847095, lr = [0.0001] +[2024-05-24 08:11:49,455] - INFO: Epoch 5761/9999, Iter 288020: Loss = 0.009573260322213173, lr = [0.0001] +[2024-05-24 08:12:17,460] - INFO: Epoch 5761/9999, Iter 288040: Loss = 0.014439193531870842, lr = [0.0001] +[2024-05-24 08:12:45,835] - INFO: Epoch 5762/9999, Iter 288060: Loss = 0.015090957283973694, lr = [0.0001] +[2024-05-24 08:13:12,850] - INFO: Epoch 5762/9999, Iter 288080: Loss = 0.015110205858945847, lr = [0.0001] +[2024-05-24 08:13:42,308] - INFO: Epoch 5763/9999, Iter 288100: Loss = 0.010077876970171928, lr = [0.0001] +[2024-05-24 08:14:10,283] - INFO: Epoch 5763/9999, Iter 288120: Loss = 0.009729052893817425, lr = [0.0001] +[2024-05-24 08:14:39,055] - INFO: Epoch 5763/9999, Iter 288140: Loss = 0.009198945946991444, lr = [0.0001] +[2024-05-24 08:15:07,408] - INFO: Epoch 5764/9999, Iter 288160: Loss = 0.014603598043322563, lr = [0.0001] +[2024-05-24 08:15:34,842] - INFO: Epoch 5764/9999, Iter 288180: Loss = 0.015101034194231033, lr = [0.0001] +[2024-05-24 08:16:03,447] - INFO: Epoch 5765/9999, Iter 288200: Loss = 0.01227322593331337, lr = [0.0001] +[2024-05-24 08:16:32,330] - INFO: Epoch 5765/9999, Iter 288220: Loss = 0.014017443172633648, lr = [0.0001] +[2024-05-24 08:16:59,446] - INFO: Epoch 5765/9999, Iter 288240: Loss = 0.009478913620114326, lr = [0.0001] +[2024-05-24 08:17:11,619] - INFO: Evaluate at epoch 5765! +[2024-05-24 08:17:15,635] - INFO: Eval PSNR (max): 38.041 (5620) SSIM (max): 0.9611 (5335) +[2024-05-24 08:17:15,636] - INFO: Eval PSNR (current): 37.912 (5765) SSIM (current): 0.9605 (5765) +[2024-05-24 08:17:15,636] - INFO: Evaluation over. +[2024-05-24 08:17:34,631] - INFO: Epoch 5766/9999, Iter 288260: Loss = 0.010229627601802349, lr = [0.0001] +[2024-05-24 08:18:01,582] - INFO: Epoch 5766/9999, Iter 288280: Loss = 0.011875060386955738, lr = [0.0001] +[2024-05-24 08:18:30,147] - INFO: Epoch 5767/9999, Iter 288300: Loss = 0.013493908569216728, lr = [0.0001] +[2024-05-24 08:18:57,517] - INFO: Epoch 5767/9999, Iter 288320: Loss = 0.015129448845982552, lr = [0.0001] +[2024-05-24 08:19:25,242] - INFO: Epoch 5767/9999, Iter 288340: Loss = 0.01672760397195816, lr = [0.0001] +[2024-05-24 08:19:54,657] - INFO: Epoch 5768/9999, Iter 288360: Loss = 0.011641089804470539, lr = [0.0001] +[2024-05-24 08:20:22,723] - INFO: Epoch 5768/9999, Iter 288380: Loss = 0.010550696402788162, lr = [0.0001] +[2024-05-24 08:20:51,328] - INFO: Epoch 5769/9999, Iter 288400: Loss = 0.00973344873636961, lr = [0.0001] +[2024-05-24 08:21:18,083] - INFO: Epoch 5769/9999, Iter 288420: Loss = 0.01351410336792469, lr = [0.0001] +[2024-05-24 08:21:45,999] - INFO: Epoch 5769/9999, Iter 288440: Loss = 0.015369802713394165, lr = [0.0001] +[2024-05-24 08:22:15,159] - INFO: Epoch 5770/9999, Iter 288460: Loss = 0.01839478127658367, lr = [0.0001] +[2024-05-24 08:22:43,358] - INFO: Epoch 5770/9999, Iter 288480: Loss = 0.011469695717096329, lr = [0.0001] +[2024-05-24 08:23:08,960] - INFO: Evaluate at epoch 5770! +[2024-05-24 08:23:12,984] - INFO: Eval PSNR (max): 38.041 (5620) SSIM (max): 0.9611 (5335) +[2024-05-24 08:23:12,984] - INFO: Eval PSNR (current): 37.976 (5770) SSIM (current): 0.9606 (5770) +[2024-05-24 08:23:12,984] - INFO: Evaluation over. +[2024-05-24 08:23:17,587] - INFO: Epoch 5771/9999, Iter 288500: Loss = 0.009675811976194382, lr = [0.0001] +[2024-05-24 08:23:45,623] - INFO: Epoch 5771/9999, Iter 288520: Loss = 0.010339826345443726, lr = [0.0001] +[2024-05-24 08:24:12,755] - INFO: Epoch 5771/9999, Iter 288540: Loss = 0.009945261292159557, lr = [0.0001] +[2024-05-24 08:24:41,661] - INFO: Epoch 5772/9999, Iter 288560: Loss = 0.016052450984716415, lr = [0.0001] +[2024-05-24 08:25:09,059] - INFO: Epoch 5772/9999, Iter 288580: Loss = 0.01460406556725502, lr = [0.0001] +[2024-05-24 08:25:37,855] - INFO: Epoch 5773/9999, Iter 288600: Loss = 0.012171244248747826, lr = [0.0001] +[2024-05-24 08:26:05,663] - INFO: Epoch 5773/9999, Iter 288620: Loss = 0.01616625301539898, lr = [0.0001] +[2024-05-24 08:26:34,315] - INFO: Epoch 5773/9999, Iter 288640: Loss = 0.01269038487225771, lr = [0.0001] +[2024-05-24 08:27:03,416] - INFO: Epoch 5774/9999, Iter 288660: Loss = 0.015404626727104187, lr = [0.0001] +[2024-05-24 08:27:31,791] - INFO: Epoch 5774/9999, Iter 288680: Loss = 0.011199849657714367, lr = [0.0001] +[2024-05-24 08:27:59,900] - INFO: Epoch 5775/9999, Iter 288700: Loss = 0.015394789166748524, lr = [0.0001] +[2024-05-24 08:28:27,942] - INFO: Epoch 5775/9999, Iter 288720: Loss = 0.011002975516021252, lr = [0.0001] +[2024-05-24 08:28:55,897] - INFO: Epoch 5775/9999, Iter 288740: Loss = 0.016628751531243324, lr = [0.0001] +[2024-05-24 08:29:07,618] - INFO: Evaluate at epoch 5775! +[2024-05-24 08:29:11,635] - INFO: Eval PSNR (max): 38.041 (5620) SSIM (max): 0.9611 (5335) +[2024-05-24 08:29:11,635] - INFO: Eval PSNR (current): 37.936 (5775) SSIM (current): 0.9607 (5775) +[2024-05-24 08:29:11,635] - INFO: Evaluation over. +[2024-05-24 08:29:30,184] - INFO: Epoch 5776/9999, Iter 288760: Loss = 0.017668839544057846, lr = [0.0001] +[2024-05-24 08:29:56,974] - INFO: Epoch 5776/9999, Iter 288780: Loss = 0.009019271470606327, lr = [0.0001] +[2024-05-24 08:30:26,142] - INFO: Epoch 5777/9999, Iter 288800: Loss = 0.011631231755018234, lr = [0.0001] +[2024-05-24 08:30:54,376] - INFO: Epoch 5777/9999, Iter 288820: Loss = 0.018134817481040955, lr = [0.0001] +[2024-05-24 08:31:21,745] - INFO: Epoch 5777/9999, Iter 288840: Loss = 0.014739738777279854, lr = [0.0001] +[2024-05-24 08:31:51,067] - INFO: Epoch 5778/9999, Iter 288860: Loss = 0.01369324792176485, lr = [0.0001] +[2024-05-24 08:32:19,081] - INFO: Epoch 5778/9999, Iter 288880: Loss = 0.013640413992106915, lr = [0.0001] +[2024-05-24 08:32:48,024] - INFO: Epoch 5779/9999, Iter 288900: Loss = 0.015097947791218758, lr = [0.0001] +[2024-05-24 08:33:15,667] - INFO: Epoch 5779/9999, Iter 288920: Loss = 0.014320505782961845, lr = [0.0001] +[2024-05-24 08:33:43,118] - INFO: Epoch 5779/9999, Iter 288940: Loss = 0.010602901689708233, lr = [0.0001] +[2024-05-24 08:34:11,747] - INFO: Epoch 5780/9999, Iter 288960: Loss = 0.01244593970477581, lr = [0.0001] +[2024-05-24 08:34:38,879] - INFO: Epoch 5780/9999, Iter 288980: Loss = 0.01108591165393591, lr = [0.0001] +[2024-05-24 08:35:04,507] - INFO: Evaluate at epoch 5780! +[2024-05-24 08:35:08,542] - INFO: Eval PSNR (max): 38.041 (5620) SSIM (max): 0.9611 (5335) +[2024-05-24 08:35:08,542] - INFO: Eval PSNR (current): 37.878 (5780) SSIM (current): 0.9603 (5780) +[2024-05-24 08:35:08,542] - INFO: Evaluation over. +[2024-05-24 08:35:12,823] - INFO: Epoch 5781/9999, Iter 289000: Loss = 0.01352678332477808, lr = [0.0001] +[2024-05-24 08:35:41,084] - INFO: Epoch 5781/9999, Iter 289020: Loss = 0.0143508892506361, lr = [0.0001] +[2024-05-24 08:36:09,007] - INFO: Epoch 5781/9999, Iter 289040: Loss = 0.014106463640928268, lr = [0.0001] +[2024-05-24 08:36:36,811] - INFO: Epoch 5782/9999, Iter 289060: Loss = 0.011008450761437416, lr = [0.0001] +[2024-05-24 08:37:03,796] - INFO: Epoch 5782/9999, Iter 289080: Loss = 0.0175352580845356, lr = [0.0001] +[2024-05-24 08:37:32,888] - INFO: Epoch 5783/9999, Iter 289100: Loss = 0.008610300719738007, lr = [0.0001] +[2024-05-24 08:38:00,966] - INFO: Epoch 5783/9999, Iter 289120: Loss = 0.011275229975581169, lr = [0.0001] +[2024-05-24 08:38:28,578] - INFO: Epoch 5783/9999, Iter 289140: Loss = 0.013959962874650955, lr = [0.0001] +[2024-05-24 08:38:57,468] - INFO: Epoch 5784/9999, Iter 289160: Loss = 0.013124478049576283, lr = [0.0001] +[2024-05-24 08:39:25,995] - INFO: Epoch 5784/9999, Iter 289180: Loss = 0.0108244139701128, lr = [0.0001] +[2024-05-24 08:39:55,247] - INFO: Epoch 5785/9999, Iter 289200: Loss = 0.008624261245131493, lr = [0.0001] +[2024-05-24 08:40:22,596] - INFO: Epoch 5785/9999, Iter 289220: Loss = 0.014531271532177925, lr = [0.0001] +[2024-05-24 08:40:50,044] - INFO: Epoch 5785/9999, Iter 289240: Loss = 0.011541454121470451, lr = [0.0001] +[2024-05-24 08:41:02,649] - INFO: Evaluate at epoch 5785! +[2024-05-24 08:41:06,674] - INFO: Eval PSNR (max): 38.041 (5620) SSIM (max): 0.9611 (5335) +[2024-05-24 08:41:06,674] - INFO: Eval PSNR (current): 37.939 (5785) SSIM (current): 0.9607 (5785) +[2024-05-24 08:41:06,674] - INFO: Evaluation over. +[2024-05-24 08:41:25,683] - INFO: Epoch 5786/9999, Iter 289260: Loss = 0.012828581966459751, lr = [0.0001] +[2024-05-24 08:41:53,228] - INFO: Epoch 5786/9999, Iter 289280: Loss = 0.012724814936518669, lr = [0.0001] +[2024-05-24 08:42:22,698] - INFO: Epoch 5787/9999, Iter 289300: Loss = 0.007467178162187338, lr = [0.0001] +[2024-05-24 08:42:51,318] - INFO: Epoch 5787/9999, Iter 289320: Loss = 0.017794087529182434, lr = [0.0001] +[2024-05-24 08:43:18,996] - INFO: Epoch 5787/9999, Iter 289340: Loss = 0.012828685343265533, lr = [0.0001] +[2024-05-24 08:43:47,527] - INFO: Epoch 5788/9999, Iter 289360: Loss = 0.018071556463837624, lr = [0.0001] +[2024-05-24 08:44:15,775] - INFO: Epoch 5788/9999, Iter 289380: Loss = 0.012454080395400524, lr = [0.0001] +[2024-05-24 08:44:44,839] - INFO: Epoch 5789/9999, Iter 289400: Loss = 0.008670574054121971, lr = [0.0001] +[2024-05-24 08:45:13,403] - INFO: Epoch 5789/9999, Iter 289420: Loss = 0.016856033354997635, lr = [0.0001] +[2024-05-24 08:45:41,529] - INFO: Epoch 5789/9999, Iter 289440: Loss = 0.01285000890493393, lr = [0.0001] +[2024-05-24 08:46:10,573] - INFO: Epoch 5790/9999, Iter 289460: Loss = 0.01526747364550829, lr = [0.0001] +[2024-05-24 08:46:39,179] - INFO: Epoch 5790/9999, Iter 289480: Loss = 0.011355490423738956, lr = [0.0001] +[2024-05-24 08:47:04,818] - INFO: Evaluate at epoch 5790! +[2024-05-24 08:47:08,827] - INFO: Eval PSNR (max): 38.041 (5620) SSIM (max): 0.9611 (5335) +[2024-05-24 08:47:08,827] - INFO: Eval PSNR (current): 37.964 (5790) SSIM (current): 0.9606 (5790) +[2024-05-24 08:47:08,827] - INFO: Evaluation over. +[2024-05-24 08:47:13,391] - INFO: Epoch 5791/9999, Iter 289500: Loss = 0.008678724057972431, lr = [0.0001] +[2024-05-24 08:47:40,851] - INFO: Epoch 5791/9999, Iter 289520: Loss = 0.014418608509004116, lr = [0.0001] +[2024-05-24 08:48:07,681] - INFO: Epoch 5791/9999, Iter 289540: Loss = 0.012500010430812836, lr = [0.0001] +[2024-05-24 08:48:36,811] - INFO: Epoch 5792/9999, Iter 289560: Loss = 0.013894474133849144, lr = [0.0001] +[2024-05-24 08:49:04,995] - INFO: Epoch 5792/9999, Iter 289580: Loss = 0.015866955742239952, lr = [0.0001] +[2024-05-24 08:49:33,579] - INFO: Epoch 5793/9999, Iter 289600: Loss = 0.010198960080742836, lr = [0.0001] +[2024-05-24 08:50:01,994] - INFO: Epoch 5793/9999, Iter 289620: Loss = 0.015348666347563267, lr = [0.0001] +[2024-05-24 08:50:29,687] - INFO: Epoch 5793/9999, Iter 289640: Loss = 0.01524412538856268, lr = [0.0001] +[2024-05-24 08:50:58,321] - INFO: Epoch 5794/9999, Iter 289660: Loss = 0.012317989952862263, lr = [0.0001] +[2024-05-24 08:51:26,551] - INFO: Epoch 5794/9999, Iter 289680: Loss = 0.009257413446903229, lr = [0.0001] +[2024-05-24 08:51:55,248] - INFO: Epoch 5795/9999, Iter 289700: Loss = 0.015445166267454624, lr = [0.0001] +[2024-05-24 08:52:21,995] - INFO: Epoch 5795/9999, Iter 289720: Loss = 0.011988472193479538, lr = [0.0001] +[2024-05-24 08:52:49,236] - INFO: Epoch 5795/9999, Iter 289740: Loss = 0.014183242805302143, lr = [0.0001] +[2024-05-24 08:53:02,112] - INFO: Evaluate at epoch 5795! +[2024-05-24 08:53:06,066] - INFO: Eval PSNR (max): 38.041 (5620) SSIM (max): 0.9611 (5335) +[2024-05-24 08:53:06,066] - INFO: Eval PSNR (current): 37.988 (5795) SSIM (current): 0.9608 (5795) +[2024-05-24 08:53:06,066] - INFO: Evaluation over. +[2024-05-24 08:53:25,347] - INFO: Epoch 5796/9999, Iter 289760: Loss = 0.014520086348056793, lr = [0.0001] +[2024-05-24 08:53:53,091] - INFO: Epoch 5796/9999, Iter 289780: Loss = 0.020408866927027702, lr = [0.0001] +[2024-05-24 08:54:21,779] - INFO: Epoch 5797/9999, Iter 289800: Loss = 0.01523447036743164, lr = [0.0001] +[2024-05-24 08:54:50,263] - INFO: Epoch 5797/9999, Iter 289820: Loss = 0.01327407918870449, lr = [0.0001] +[2024-05-24 08:55:18,019] - INFO: Epoch 5797/9999, Iter 289840: Loss = 0.010863970965147018, lr = [0.0001] +[2024-05-24 08:55:46,835] - INFO: Epoch 5798/9999, Iter 289860: Loss = 0.0149356285110116, lr = [0.0001] +[2024-05-24 08:56:14,819] - INFO: Epoch 5798/9999, Iter 289880: Loss = 0.012934316881000996, lr = [0.0001] +[2024-05-24 08:56:43,551] - INFO: Epoch 5799/9999, Iter 289900: Loss = 0.014826418831944466, lr = [0.0001] +[2024-05-24 08:57:10,691] - INFO: Epoch 5799/9999, Iter 289920: Loss = 0.015624365769326687, lr = [0.0001] +[2024-05-24 08:57:38,019] - INFO: Epoch 5799/9999, Iter 289940: Loss = 0.015441889874637127, lr = [0.0001] +[2024-05-24 08:58:07,819] - INFO: Epoch 5800/9999, Iter 289960: Loss = 0.0169083122164011, lr = [0.0001] +[2024-05-24 08:58:36,405] - INFO: Epoch 5800/9999, Iter 289980: Loss = 0.013175463303923607, lr = [0.0001] +[2024-05-24 08:59:01,717] - INFO: Evaluate at epoch 5800! +[2024-05-24 08:59:05,741] - INFO: Eval PSNR (max): 38.041 (5620) SSIM (max): 0.9611 (5335) +[2024-05-24 08:59:05,741] - INFO: Eval PSNR (current): 37.967 (5800) SSIM (current): 0.9607 (5800) +[2024-05-24 08:59:05,741] - INFO: Evaluation over. +[2024-05-24 08:59:10,104] - INFO: Epoch 5801/9999, Iter 290000: Loss = 0.01146901585161686, lr = [0.0001] +[2024-05-24 08:59:37,535] - INFO: Epoch 5801/9999, Iter 290020: Loss = 0.013409326784312725, lr = [0.0001] +[2024-05-24 09:00:04,611] - INFO: Epoch 5801/9999, Iter 290040: Loss = 0.015279984101653099, lr = [0.0001] +[2024-05-24 09:00:34,066] - INFO: Epoch 5802/9999, Iter 290060: Loss = 0.016581324860453606, lr = [0.0001] +[2024-05-24 09:01:02,471] - INFO: Epoch 5802/9999, Iter 290080: Loss = 0.00991699006408453, lr = [0.0001] +[2024-05-24 09:01:31,575] - INFO: Epoch 5803/9999, Iter 290100: Loss = 0.01361802313476801, lr = [0.0001] +[2024-05-24 09:01:59,444] - INFO: Epoch 5803/9999, Iter 290120: Loss = 0.012331485748291016, lr = [0.0001] +[2024-05-24 09:02:26,646] - INFO: Epoch 5803/9999, Iter 290140: Loss = 0.01209614984691143, lr = [0.0001] +[2024-05-24 09:02:55,724] - INFO: Epoch 5804/9999, Iter 290160: Loss = 0.008706470020115376, lr = [0.0001] +[2024-05-24 09:03:23,612] - INFO: Epoch 5804/9999, Iter 290180: Loss = 0.016038522124290466, lr = [0.0001] +[2024-05-24 09:03:52,320] - INFO: Epoch 5805/9999, Iter 290200: Loss = 0.008882814086973667, lr = [0.0001] +[2024-05-24 09:04:20,547] - INFO: Epoch 5805/9999, Iter 290220: Loss = 0.010374616831541061, lr = [0.0001] +[2024-05-24 09:04:48,208] - INFO: Epoch 5805/9999, Iter 290240: Loss = 0.01049479003995657, lr = [0.0001] +[2024-05-24 09:05:00,422] - INFO: Evaluate at epoch 5805! +[2024-05-24 09:05:04,412] - INFO: Eval PSNR (max): 38.041 (5620) SSIM (max): 0.9611 (5335) +[2024-05-24 09:05:04,412] - INFO: Eval PSNR (current): 37.944 (5805) SSIM (current): 0.9606 (5805) +[2024-05-24 09:05:04,412] - INFO: Evaluation over. +[2024-05-24 09:05:23,228] - INFO: Epoch 5806/9999, Iter 290260: Loss = 0.006308217998594046, lr = [0.0001] +[2024-05-24 09:05:49,807] - INFO: Epoch 5806/9999, Iter 290280: Loss = 0.01151179801672697, lr = [0.0001] +[2024-05-24 09:06:19,348] - INFO: Epoch 5807/9999, Iter 290300: Loss = 0.016094228252768517, lr = [0.0001] +[2024-05-24 09:06:46,951] - INFO: Epoch 5807/9999, Iter 290320: Loss = 0.011719309724867344, lr = [0.0001] +[2024-05-24 09:07:14,681] - INFO: Epoch 5807/9999, Iter 290340: Loss = 0.013926064595580101, lr = [0.0001] +[2024-05-24 09:07:42,852] - INFO: Epoch 5808/9999, Iter 290360: Loss = 0.010446673259139061, lr = [0.0001] +[2024-05-24 09:08:10,716] - INFO: Epoch 5808/9999, Iter 290380: Loss = 0.016282755881547928, lr = [0.0001] +[2024-05-24 09:08:40,112] - INFO: Epoch 5809/9999, Iter 290400: Loss = 0.018560100346803665, lr = [0.0001] +[2024-05-24 09:09:08,119] - INFO: Epoch 5809/9999, Iter 290420: Loss = 0.0100503358989954, lr = [0.0001] +[2024-05-24 09:09:36,326] - INFO: Epoch 5809/9999, Iter 290440: Loss = 0.013502584770321846, lr = [0.0001] +[2024-05-24 09:10:05,995] - INFO: Epoch 5810/9999, Iter 290460: Loss = 0.00968237966299057, lr = [0.0001] +[2024-05-24 09:10:35,015] - INFO: Epoch 5810/9999, Iter 290480: Loss = 0.011706790886819363, lr = [0.0001] +[2024-05-24 09:11:00,418] - INFO: Evaluate at epoch 5810! +[2024-05-24 09:11:04,409] - INFO: Eval PSNR (max): 38.041 (5620) SSIM (max): 0.9611 (5335) +[2024-05-24 09:11:04,409] - INFO: Eval PSNR (current): 37.957 (5810) SSIM (current): 0.9607 (5810) +[2024-05-24 09:11:04,409] - INFO: Evaluation over. +[2024-05-24 09:11:08,917] - INFO: Epoch 5811/9999, Iter 290500: Loss = 0.01411167997866869, lr = [0.0001] +[2024-05-24 09:11:35,759] - INFO: Epoch 5811/9999, Iter 290520: Loss = 0.010373357683420181, lr = [0.0001] +[2024-05-24 09:12:03,703] - INFO: Epoch 5811/9999, Iter 290540: Loss = 0.009220882318913937, lr = [0.0001] +[2024-05-24 09:12:33,272] - INFO: Epoch 5812/9999, Iter 290560: Loss = 0.011096819303929806, lr = [0.0001] +[2024-05-24 09:13:01,267] - INFO: Epoch 5812/9999, Iter 290580: Loss = 0.011787662282586098, lr = [0.0001] +[2024-05-24 09:13:30,047] - INFO: Epoch 5813/9999, Iter 290600: Loss = 0.013474823907017708, lr = [0.0001] +[2024-05-24 09:13:56,581] - INFO: Epoch 5813/9999, Iter 290620: Loss = 0.012979626655578613, lr = [0.0001] +[2024-05-24 09:14:23,932] - INFO: Epoch 5813/9999, Iter 290640: Loss = 0.01090698130428791, lr = [0.0001] +[2024-05-24 09:14:53,723] - INFO: Epoch 5814/9999, Iter 290660: Loss = 0.007154017686843872, lr = [0.0001] +[2024-05-24 09:15:21,017] - INFO: Epoch 5814/9999, Iter 290680: Loss = 0.016229746863245964, lr = [0.0001] +[2024-05-24 09:15:50,147] - INFO: Epoch 5815/9999, Iter 290700: Loss = 0.012648812495172024, lr = [0.0001] +[2024-05-24 09:16:18,057] - INFO: Epoch 5815/9999, Iter 290720: Loss = 0.014826309867203236, lr = [0.0001] +[2024-05-24 09:16:45,751] - INFO: Epoch 5815/9999, Iter 290740: Loss = 0.021584952250123024, lr = [0.0001] +[2024-05-24 09:16:58,049] - INFO: Evaluate at epoch 5815! +[2024-05-24 09:17:02,050] - INFO: Eval PSNR (max): 38.041 (5620) SSIM (max): 0.9611 (5335) +[2024-05-24 09:17:02,050] - INFO: Eval PSNR (current): 37.964 (5815) SSIM (current): 0.9606 (5815) +[2024-05-24 09:17:02,050] - INFO: Evaluation over. +[2024-05-24 09:17:20,331] - INFO: Epoch 5816/9999, Iter 290760: Loss = 0.012666620314121246, lr = [0.0001] +[2024-05-24 09:17:48,670] - INFO: Epoch 5816/9999, Iter 290780: Loss = 0.013550282455980778, lr = [0.0001] +[2024-05-24 09:18:17,423] - INFO: Epoch 5817/9999, Iter 290800: Loss = 0.009978552348911762, lr = [0.0001] +[2024-05-24 09:18:45,443] - INFO: Epoch 5817/9999, Iter 290820: Loss = 0.0059082284569740295, lr = [0.0001] +[2024-05-24 09:19:11,679] - INFO: Epoch 5817/9999, Iter 290840: Loss = 0.01375479158014059, lr = [0.0001] +[2024-05-24 09:19:40,297] - INFO: Epoch 5818/9999, Iter 290860: Loss = 0.020094454288482666, lr = [0.0001] +[2024-05-24 09:20:07,505] - INFO: Epoch 5818/9999, Iter 290880: Loss = 0.014271187596023083, lr = [0.0001] +[2024-05-24 09:20:36,656] - INFO: Epoch 5819/9999, Iter 290900: Loss = 0.014752830378711224, lr = [0.0001] +[2024-05-24 09:21:05,458] - INFO: Epoch 5819/9999, Iter 290920: Loss = 0.016216207295656204, lr = [0.0001] +[2024-05-24 09:21:33,193] - INFO: Epoch 5819/9999, Iter 290940: Loss = 0.011795810423791409, lr = [0.0001] +[2024-05-24 09:22:01,099] - INFO: Epoch 5820/9999, Iter 290960: Loss = 0.012216446921229362, lr = [0.0001] +[2024-05-24 09:22:27,632] - INFO: Epoch 5820/9999, Iter 290980: Loss = 0.01785370334982872, lr = [0.0001] +[2024-05-24 09:22:53,838] - INFO: Evaluate at epoch 5820! +[2024-05-24 09:22:57,825] - INFO: Eval PSNR (max): 38.041 (5620) SSIM (max): 0.9611 (5335) +[2024-05-24 09:22:57,825] - INFO: Eval PSNR (current): 38.016 (5820) SSIM (current): 0.9609 (5820) +[2024-05-24 09:22:57,825] - INFO: Evaluation over. +[2024-05-24 09:23:02,403] - INFO: Epoch 5821/9999, Iter 291000: Loss = 0.017145831137895584, lr = [0.0001] +[2024-05-24 09:23:29,132] - INFO: Epoch 5821/9999, Iter 291020: Loss = 0.015995804220438004, lr = [0.0001] +[2024-05-24 09:23:56,532] - INFO: Epoch 5821/9999, Iter 291040: Loss = 0.012299194931983948, lr = [0.0001] +[2024-05-24 09:24:25,277] - INFO: Epoch 5822/9999, Iter 291060: Loss = 0.010396196506917477, lr = [0.0001] +[2024-05-24 09:24:53,447] - INFO: Epoch 5822/9999, Iter 291080: Loss = 0.009932197630405426, lr = [0.0001] +[2024-05-24 09:25:22,234] - INFO: Epoch 5823/9999, Iter 291100: Loss = 0.011944764293730259, lr = [0.0001] +[2024-05-24 09:25:51,223] - INFO: Epoch 5823/9999, Iter 291120: Loss = 0.01438537985086441, lr = [0.0001] +[2024-05-24 09:26:18,927] - INFO: Epoch 5823/9999, Iter 291140: Loss = 0.01113098207861185, lr = [0.0001] +[2024-05-24 09:26:47,928] - INFO: Epoch 5824/9999, Iter 291160: Loss = 0.012048745527863503, lr = [0.0001] +[2024-05-24 09:27:16,499] - INFO: Epoch 5824/9999, Iter 291180: Loss = 0.012884409166872501, lr = [0.0001] +[2024-05-24 09:27:45,458] - INFO: Epoch 5825/9999, Iter 291200: Loss = 0.01681968942284584, lr = [0.0001] +[2024-05-24 09:28:13,443] - INFO: Epoch 5825/9999, Iter 291220: Loss = 0.01609186641871929, lr = [0.0001] +[2024-05-24 09:28:40,883] - INFO: Epoch 5825/9999, Iter 291240: Loss = 0.009891141206026077, lr = [0.0001] +[2024-05-24 09:28:53,757] - INFO: Evaluate at epoch 5825! +[2024-05-24 09:28:57,843] - INFO: Eval PSNR (max): 38.041 (5620) SSIM (max): 0.9611 (5335) +[2024-05-24 09:28:57,843] - INFO: Eval PSNR (current): 37.979 (5825) SSIM (current): 0.9607 (5825) +[2024-05-24 09:28:57,843] - INFO: Evaluation over. +[2024-05-24 09:29:16,067] - INFO: Epoch 5826/9999, Iter 291260: Loss = 0.014037872664630413, lr = [0.0001] +[2024-05-24 09:29:43,637] - INFO: Epoch 5826/9999, Iter 291280: Loss = 0.012323690578341484, lr = [0.0001] +[2024-05-24 09:30:12,624] - INFO: Epoch 5827/9999, Iter 291300: Loss = 0.015487388707697392, lr = [0.0001] +[2024-05-24 09:30:41,057] - INFO: Epoch 5827/9999, Iter 291320: Loss = 0.008831176906824112, lr = [0.0001] +[2024-05-24 09:31:08,690] - INFO: Epoch 5827/9999, Iter 291340: Loss = 0.014063040725886822, lr = [0.0001] +[2024-05-24 09:31:38,218] - INFO: Epoch 5828/9999, Iter 291360: Loss = 0.022446610033512115, lr = [0.0001] +[2024-05-24 09:32:06,403] - INFO: Epoch 5828/9999, Iter 291380: Loss = 0.012109899893403053, lr = [0.0001] +[2024-05-24 09:32:34,868] - INFO: Epoch 5829/9999, Iter 291400: Loss = 0.013159890659153461, lr = [0.0001] +[2024-05-24 09:33:01,543] - INFO: Epoch 5829/9999, Iter 291420: Loss = 0.013862144201993942, lr = [0.0001] +[2024-05-24 09:33:29,823] - INFO: Epoch 5829/9999, Iter 291440: Loss = 0.007750452496111393, lr = [0.0001] +[2024-05-24 09:33:58,857] - INFO: Epoch 5830/9999, Iter 291460: Loss = 0.009382902644574642, lr = [0.0001] +[2024-05-24 09:34:26,995] - INFO: Epoch 5830/9999, Iter 291480: Loss = 0.010128103196620941, lr = [0.0001] +[2024-05-24 09:34:52,238] - INFO: Evaluate at epoch 5830! +[2024-05-24 09:34:56,303] - INFO: Eval PSNR (max): 38.041 (5620) SSIM (max): 0.9611 (5335) +[2024-05-24 09:34:56,303] - INFO: Eval PSNR (current): 38.000 (5830) SSIM (current): 0.9607 (5830) +[2024-05-24 09:34:56,303] - INFO: Evaluation over. +[2024-05-24 09:35:00,709] - INFO: Epoch 5831/9999, Iter 291500: Loss = 0.017748096957802773, lr = [0.0001] +[2024-05-24 09:35:29,059] - INFO: Epoch 5831/9999, Iter 291520: Loss = 0.012410839088261127, lr = [0.0001] +[2024-05-24 09:35:57,571] - INFO: Epoch 5831/9999, Iter 291540: Loss = 0.01292451936751604, lr = [0.0001] +[2024-05-24 09:36:25,911] - INFO: Epoch 5832/9999, Iter 291560: Loss = 0.01476744469255209, lr = [0.0001] +[2024-05-24 09:36:53,419] - INFO: Epoch 5832/9999, Iter 291580: Loss = 0.017204513773322105, lr = [0.0001] +[2024-05-24 09:37:22,316] - INFO: Epoch 5833/9999, Iter 291600: Loss = 0.011251784861087799, lr = [0.0001] +[2024-05-24 09:37:49,811] - INFO: Epoch 5833/9999, Iter 291620: Loss = 0.009268192574381828, lr = [0.0001] +[2024-05-24 09:38:17,136] - INFO: Epoch 5833/9999, Iter 291640: Loss = 0.009653281420469284, lr = [0.0001] +[2024-05-24 09:38:46,111] - INFO: Epoch 5834/9999, Iter 291660: Loss = 0.0093892402946949, lr = [0.0001] +[2024-05-24 09:39:14,225] - INFO: Epoch 5834/9999, Iter 291680: Loss = 0.01361811626702547, lr = [0.0001] +[2024-05-24 09:39:43,183] - INFO: Epoch 5835/9999, Iter 291700: Loss = 0.018456794321537018, lr = [0.0001] +[2024-05-24 09:40:11,803] - INFO: Epoch 5835/9999, Iter 291720: Loss = 0.008619177155196667, lr = [0.0001] +[2024-05-24 09:40:39,042] - INFO: Epoch 5835/9999, Iter 291740: Loss = 0.017369188368320465, lr = [0.0001] +[2024-05-24 09:40:51,161] - INFO: Evaluate at epoch 5835! +[2024-05-24 09:40:55,230] - INFO: Eval PSNR (max): 38.041 (5620) SSIM (max): 0.9611 (5335) +[2024-05-24 09:40:55,230] - INFO: Eval PSNR (current): 37.891 (5835) SSIM (current): 0.9606 (5835) +[2024-05-24 09:40:55,230] - INFO: Evaluation over. +[2024-05-24 09:41:13,566] - INFO: Epoch 5836/9999, Iter 291760: Loss = 0.00925582554191351, lr = [0.0001] +[2024-05-24 09:41:41,267] - INFO: Epoch 5836/9999, Iter 291780: Loss = 0.009358173236250877, lr = [0.0001] +[2024-05-24 09:42:10,599] - INFO: Epoch 5837/9999, Iter 291800: Loss = 0.0160681139677763, lr = [0.0001] +[2024-05-24 09:42:37,602] - INFO: Epoch 5837/9999, Iter 291820: Loss = 0.010083123110234737, lr = [0.0001] +[2024-05-24 09:43:04,683] - INFO: Epoch 5837/9999, Iter 291840: Loss = 0.012136262841522694, lr = [0.0001] +[2024-05-24 09:43:33,856] - INFO: Epoch 5838/9999, Iter 291860: Loss = 0.013603121973574162, lr = [0.0001] +[2024-05-24 09:44:01,783] - INFO: Epoch 5838/9999, Iter 291880: Loss = 0.012155954726040363, lr = [0.0001] +[2024-05-24 09:44:30,571] - INFO: Epoch 5839/9999, Iter 291900: Loss = 0.013576976023614407, lr = [0.0001] +[2024-05-24 09:44:57,771] - INFO: Epoch 5839/9999, Iter 291920: Loss = 0.012086190283298492, lr = [0.0001] +[2024-05-24 09:45:25,023] - INFO: Epoch 5839/9999, Iter 291940: Loss = 0.014574368484318256, lr = [0.0001] +[2024-05-24 09:45:54,001] - INFO: Epoch 5840/9999, Iter 291960: Loss = 0.007381569128483534, lr = [0.0001] +[2024-05-24 09:46:22,087] - INFO: Epoch 5840/9999, Iter 291980: Loss = 0.018503252416849136, lr = [0.0001] +[2024-05-24 09:46:48,185] - INFO: Evaluate at epoch 5840! +[2024-05-24 09:46:52,284] - INFO: Eval PSNR (max): 38.041 (5620) SSIM (max): 0.9611 (5335) +[2024-05-24 09:46:52,285] - INFO: Eval PSNR (current): 37.948 (5840) SSIM (current): 0.9606 (5840) +[2024-05-24 09:46:52,285] - INFO: Evaluation over. +[2024-05-24 09:46:56,952] - INFO: Epoch 5841/9999, Iter 292000: Loss = 0.01999405212700367, lr = [0.0001] +[2024-05-24 09:47:25,007] - INFO: Epoch 5841/9999, Iter 292020: Loss = 0.019700346514582634, lr = [0.0001] +[2024-05-24 09:47:53,221] - INFO: Epoch 5841/9999, Iter 292040: Loss = 0.014279053546488285, lr = [0.0001] +[2024-05-24 09:48:22,537] - INFO: Epoch 5842/9999, Iter 292060: Loss = 0.012706275098025799, lr = [0.0001] +[2024-05-24 09:48:50,895] - INFO: Epoch 5842/9999, Iter 292080: Loss = 0.013942932710051537, lr = [0.0001] +[2024-05-24 09:49:20,039] - INFO: Epoch 5843/9999, Iter 292100: Loss = 0.010575353167951107, lr = [0.0001] +[2024-05-24 09:49:47,763] - INFO: Epoch 5843/9999, Iter 292120: Loss = 0.013426275923848152, lr = [0.0001] +[2024-05-24 09:50:14,616] - INFO: Epoch 5843/9999, Iter 292140: Loss = 0.01454922929406166, lr = [0.0001] +[2024-05-24 09:50:44,183] - INFO: Epoch 5844/9999, Iter 292160: Loss = 0.00911379512399435, lr = [0.0001] +[2024-05-24 09:51:12,275] - INFO: Epoch 5844/9999, Iter 292180: Loss = 0.015170395374298096, lr = [0.0001] +[2024-05-24 09:51:40,943] - INFO: Epoch 5845/9999, Iter 292200: Loss = 0.012549081817269325, lr = [0.0001] +[2024-05-24 09:52:07,671] - INFO: Epoch 5845/9999, Iter 292220: Loss = 0.012905575335025787, lr = [0.0001] +[2024-05-24 09:52:35,494] - INFO: Epoch 5845/9999, Iter 292240: Loss = 0.010423808358609676, lr = [0.0001] +[2024-05-24 09:52:48,037] - INFO: Evaluate at epoch 5845! +[2024-05-24 09:52:52,136] - INFO: Eval PSNR (max): 38.041 (5620) SSIM (max): 0.9611 (5335) +[2024-05-24 09:52:52,136] - INFO: Eval PSNR (current): 37.959 (5845) SSIM (current): 0.9608 (5845) +[2024-05-24 09:52:52,136] - INFO: Evaluation over. +[2024-05-24 09:53:10,534] - INFO: Epoch 5846/9999, Iter 292260: Loss = 0.0078928517177701, lr = [0.0001] +[2024-05-24 09:53:38,537] - INFO: Epoch 5846/9999, Iter 292280: Loss = 0.0121698509901762, lr = [0.0001] +[2024-05-24 09:54:07,759] - INFO: Epoch 5847/9999, Iter 292300: Loss = 0.013125816360116005, lr = [0.0001] +[2024-05-24 09:54:35,667] - INFO: Epoch 5847/9999, Iter 292320: Loss = 0.011719422414898872, lr = [0.0001] +[2024-05-24 09:55:03,738] - INFO: Epoch 5847/9999, Iter 292340: Loss = 0.012507251463830471, lr = [0.0001] +[2024-05-24 09:55:32,754] - INFO: Epoch 5848/9999, Iter 292360: Loss = 0.009918979369103909, lr = [0.0001] +[2024-05-24 09:56:00,192] - INFO: Epoch 5848/9999, Iter 292380: Loss = 0.013283899985253811, lr = [0.0001] +[2024-05-24 09:56:28,867] - INFO: Epoch 5849/9999, Iter 292400: Loss = 0.011558925732970238, lr = [0.0001] +[2024-05-24 09:56:56,988] - INFO: Epoch 5849/9999, Iter 292420: Loss = 0.01616382598876953, lr = [0.0001] +[2024-05-24 09:57:23,709] - INFO: Epoch 5849/9999, Iter 292440: Loss = 0.011019502766430378, lr = [0.0001] +[2024-05-24 09:57:52,411] - INFO: Epoch 5850/9999, Iter 292460: Loss = 0.009349924512207508, lr = [0.0001] +[2024-05-24 09:58:19,827] - INFO: Epoch 5850/9999, Iter 292480: Loss = 0.02158552221953869, lr = [0.0001] +[2024-05-24 09:58:45,485] - INFO: Evaluate at epoch 5850! +[2024-05-24 09:58:49,591] - INFO: Eval PSNR (max): 38.041 (5620) SSIM (max): 0.9611 (5335) +[2024-05-24 09:58:49,592] - INFO: Eval PSNR (current): 37.976 (5850) SSIM (current): 0.9608 (5850) +[2024-05-24 09:58:49,592] - INFO: Evaluation over. +[2024-05-24 09:58:54,215] - INFO: Epoch 5851/9999, Iter 292500: Loss = 0.016482962295413017, lr = [0.0001] +[2024-05-24 09:59:20,879] - INFO: Epoch 5851/9999, Iter 292520: Loss = 0.00975174829363823, lr = [0.0001] +[2024-05-24 09:59:48,171] - INFO: Epoch 5851/9999, Iter 292540: Loss = 0.014316470362246037, lr = [0.0001] +[2024-05-24 10:00:17,551] - INFO: Epoch 5852/9999, Iter 292560: Loss = 0.018493134528398514, lr = [0.0001] +[2024-05-24 10:00:44,835] - INFO: Epoch 5852/9999, Iter 292580: Loss = 0.018052928149700165, lr = [0.0001] +[2024-05-24 10:01:14,882] - INFO: Epoch 5853/9999, Iter 292600: Loss = 0.012107251212000847, lr = [0.0001] +[2024-05-24 10:01:42,986] - INFO: Epoch 5853/9999, Iter 292620: Loss = 0.009408270008862019, lr = [0.0001] +[2024-05-24 10:02:10,375] - INFO: Epoch 5853/9999, Iter 292640: Loss = 0.011165810748934746, lr = [0.0001] +[2024-05-24 10:02:39,367] - INFO: Epoch 5854/9999, Iter 292660: Loss = 0.011636367999017239, lr = [0.0001] +[2024-05-24 10:03:06,790] - INFO: Epoch 5854/9999, Iter 292680: Loss = 0.014513298869132996, lr = [0.0001] +[2024-05-24 10:03:35,611] - INFO: Epoch 5855/9999, Iter 292700: Loss = 0.015538926236331463, lr = [0.0001] +[2024-05-24 10:04:03,314] - INFO: Epoch 5855/9999, Iter 292720: Loss = 0.01295703649520874, lr = [0.0001] +[2024-05-24 10:04:30,577] - INFO: Epoch 5855/9999, Iter 292740: Loss = 0.013675259426236153, lr = [0.0001] +[2024-05-24 10:04:42,562] - INFO: Evaluate at epoch 5855! +[2024-05-24 10:04:46,649] - INFO: Eval PSNR (max): 38.041 (5620) SSIM (max): 0.9611 (5335) +[2024-05-24 10:04:46,649] - INFO: Eval PSNR (current): 37.955 (5855) SSIM (current): 0.9606 (5855) +[2024-05-24 10:04:46,649] - INFO: Evaluation over. +[2024-05-24 10:05:05,361] - INFO: Epoch 5856/9999, Iter 292760: Loss = 0.011155908927321434, lr = [0.0001] +[2024-05-24 10:05:33,607] - INFO: Epoch 5856/9999, Iter 292780: Loss = 0.013184350915253162, lr = [0.0001] +[2024-05-24 10:06:02,503] - INFO: Epoch 5857/9999, Iter 292800: Loss = 0.011531352996826172, lr = [0.0001] +[2024-05-24 10:06:29,843] - INFO: Epoch 5857/9999, Iter 292820: Loss = 0.015208827331662178, lr = [0.0001] +[2024-05-24 10:06:57,997] - INFO: Epoch 5857/9999, Iter 292840: Loss = 0.010034785605967045, lr = [0.0001] +[2024-05-24 10:07:25,640] - INFO: Epoch 5858/9999, Iter 292860: Loss = 0.012479297816753387, lr = [0.0001] +[2024-05-24 10:07:52,939] - INFO: Epoch 5858/9999, Iter 292880: Loss = 0.012330346740782261, lr = [0.0001] +[2024-05-24 10:08:22,892] - INFO: Epoch 5859/9999, Iter 292900: Loss = 0.021095629781484604, lr = [0.0001] +[2024-05-24 10:08:50,003] - INFO: Epoch 5859/9999, Iter 292920: Loss = 0.016080940142273903, lr = [0.0001] +[2024-05-24 10:09:17,732] - INFO: Epoch 5859/9999, Iter 292940: Loss = 0.012998790480196476, lr = [0.0001] +[2024-05-24 10:09:45,995] - INFO: Epoch 5860/9999, Iter 292960: Loss = 0.012109211646020412, lr = [0.0001] +[2024-05-24 10:10:14,099] - INFO: Epoch 5860/9999, Iter 292980: Loss = 0.012786492705345154, lr = [0.0001] +[2024-05-24 10:10:40,867] - INFO: Evaluate at epoch 5860! +[2024-05-24 10:10:44,947] - INFO: Eval PSNR (max): 38.041 (5620) SSIM (max): 0.9611 (5335) +[2024-05-24 10:10:44,948] - INFO: Eval PSNR (current): 37.973 (5860) SSIM (current): 0.9607 (5860) +[2024-05-24 10:10:44,948] - INFO: Evaluation over. +[2024-05-24 10:10:49,341] - INFO: Epoch 5861/9999, Iter 293000: Loss = 0.012799094431102276, lr = [0.0001] +[2024-05-24 10:11:17,788] - INFO: Epoch 5861/9999, Iter 293020: Loss = 0.011940171010792255, lr = [0.0001] +[2024-05-24 10:11:45,620] - INFO: Epoch 5861/9999, Iter 293040: Loss = 0.011529246345162392, lr = [0.0001] +[2024-05-24 10:12:14,354] - INFO: Epoch 5862/9999, Iter 293060: Loss = 0.015482772141695023, lr = [0.0001] +[2024-05-24 10:12:41,190] - INFO: Epoch 5862/9999, Iter 293080: Loss = 0.01517113484442234, lr = [0.0001] +[2024-05-24 10:13:10,723] - INFO: Epoch 5863/9999, Iter 293100: Loss = 0.012476392090320587, lr = [0.0001] +[2024-05-24 10:13:38,735] - INFO: Epoch 5863/9999, Iter 293120: Loss = 0.01417616568505764, lr = [0.0001] +[2024-05-24 10:14:07,255] - INFO: Epoch 5863/9999, Iter 293140: Loss = 0.015407862141728401, lr = [0.0001] +[2024-05-24 10:14:36,646] - INFO: Epoch 5864/9999, Iter 293160: Loss = 0.01072603464126587, lr = [0.0001] +[2024-05-24 10:15:04,615] - INFO: Epoch 5864/9999, Iter 293180: Loss = 0.013877974823117256, lr = [0.0001] +[2024-05-24 10:15:33,104] - INFO: Epoch 5865/9999, Iter 293200: Loss = 0.010444139130413532, lr = [0.0001] +[2024-05-24 10:16:01,163] - INFO: Epoch 5865/9999, Iter 293220: Loss = 0.01208209153264761, lr = [0.0001] +[2024-05-24 10:16:28,171] - INFO: Epoch 5865/9999, Iter 293240: Loss = 0.010173223912715912, lr = [0.0001] +[2024-05-24 10:16:40,836] - INFO: Evaluate at epoch 5865! +[2024-05-24 10:16:44,925] - INFO: Eval PSNR (max): 38.041 (5620) SSIM (max): 0.9611 (5335) +[2024-05-24 10:16:44,926] - INFO: Eval PSNR (current): 37.890 (5865) SSIM (current): 0.9606 (5865) +[2024-05-24 10:16:44,926] - INFO: Evaluation over. +[2024-05-24 10:17:03,345] - INFO: Epoch 5866/9999, Iter 293260: Loss = 0.01279132068157196, lr = [0.0001] +[2024-05-24 10:17:31,302] - INFO: Epoch 5866/9999, Iter 293280: Loss = 0.013029401190578938, lr = [0.0001] +[2024-05-24 10:18:00,147] - INFO: Epoch 5867/9999, Iter 293300: Loss = 0.013942468911409378, lr = [0.0001] +[2024-05-24 10:18:28,000] - INFO: Epoch 5867/9999, Iter 293320: Loss = 0.00743255577981472, lr = [0.0001] +[2024-05-24 10:18:57,099] - INFO: Epoch 5867/9999, Iter 293340: Loss = 0.017428724095225334, lr = [0.0001] +[2024-05-24 10:19:25,200] - INFO: Epoch 5868/9999, Iter 293360: Loss = 0.010998697020113468, lr = [0.0001] +[2024-05-24 10:19:52,094] - INFO: Epoch 5868/9999, Iter 293380: Loss = 0.016826417297124863, lr = [0.0001] +[2024-05-24 10:20:21,907] - INFO: Epoch 5869/9999, Iter 293400: Loss = 0.010507000610232353, lr = [0.0001] +[2024-05-24 10:20:50,271] - INFO: Epoch 5869/9999, Iter 293420: Loss = 0.016514969989657402, lr = [0.0001] +[2024-05-24 10:21:18,528] - INFO: Epoch 5869/9999, Iter 293440: Loss = 0.013806509785354137, lr = [0.0001] +[2024-05-24 10:21:47,087] - INFO: Epoch 5870/9999, Iter 293460: Loss = 0.016872338950634003, lr = [0.0001] +[2024-05-24 10:22:15,460] - INFO: Epoch 5870/9999, Iter 293480: Loss = 0.012761153280735016, lr = [0.0001] +[2024-05-24 10:22:41,394] - INFO: Evaluate at epoch 5870! +[2024-05-24 10:22:45,481] - INFO: Eval PSNR (max): 38.041 (5620) SSIM (max): 0.9611 (5335) +[2024-05-24 10:22:45,482] - INFO: Eval PSNR (current): 37.855 (5870) SSIM (current): 0.9606 (5870) +[2024-05-24 10:22:45,482] - INFO: Evaluation over. +[2024-05-24 10:22:50,140] - INFO: Epoch 5871/9999, Iter 293500: Loss = 0.009812701493501663, lr = [0.0001] +[2024-05-24 10:23:18,239] - INFO: Epoch 5871/9999, Iter 293520: Loss = 0.010389469563961029, lr = [0.0001] +[2024-05-24 10:23:46,423] - INFO: Epoch 5871/9999, Iter 293540: Loss = 0.010415214113891125, lr = [0.0001] +[2024-05-24 10:24:15,225] - INFO: Epoch 5872/9999, Iter 293560: Loss = 0.008984256535768509, lr = [0.0001] +[2024-05-24 10:24:43,936] - INFO: Epoch 5872/9999, Iter 293580: Loss = 0.01308919582515955, lr = [0.0001] +[2024-05-24 10:25:12,617] - INFO: Epoch 5873/9999, Iter 293600: Loss = 0.010686283931136131, lr = [0.0001] +[2024-05-24 10:25:39,931] - INFO: Epoch 5873/9999, Iter 293620: Loss = 0.012716180644929409, lr = [0.0001] +[2024-05-24 10:26:08,340] - INFO: Epoch 5873/9999, Iter 293640: Loss = 0.01609904319047928, lr = [0.0001] +[2024-05-24 10:26:37,187] - INFO: Epoch 5874/9999, Iter 293660: Loss = 0.013021264225244522, lr = [0.0001] +[2024-05-24 10:27:04,036] - INFO: Epoch 5874/9999, Iter 293680: Loss = 0.015657152980566025, lr = [0.0001] +[2024-05-24 10:27:33,002] - INFO: Epoch 5875/9999, Iter 293700: Loss = 0.015612460672855377, lr = [0.0001] +[2024-05-24 10:28:00,137] - INFO: Epoch 5875/9999, Iter 293720: Loss = 0.014291553758084774, lr = [0.0001] +[2024-05-24 10:28:27,236] - INFO: Epoch 5875/9999, Iter 293740: Loss = 0.013021470978856087, lr = [0.0001] +[2024-05-24 10:28:39,938] - INFO: Evaluate at epoch 5875! +[2024-05-24 10:28:44,027] - INFO: Eval PSNR (max): 38.041 (5620) SSIM (max): 0.9611 (5335) +[2024-05-24 10:28:44,027] - INFO: Eval PSNR (current): 37.932 (5875) SSIM (current): 0.9607 (5875) +[2024-05-24 10:28:44,027] - INFO: Evaluation over. +[2024-05-24 10:29:01,196] - INFO: Epoch 5876/9999, Iter 293760: Loss = 0.010239011608064175, lr = [0.0001] +[2024-05-24 10:29:28,963] - INFO: Epoch 5876/9999, Iter 293780: Loss = 0.015547719784080982, lr = [0.0001] +[2024-05-24 10:29:58,151] - INFO: Epoch 5877/9999, Iter 293800: Loss = 0.011531890369951725, lr = [0.0001] +[2024-05-24 10:30:25,884] - INFO: Epoch 5877/9999, Iter 293820: Loss = 0.010209577158093452, lr = [0.0001] +[2024-05-24 10:30:53,911] - INFO: Epoch 5877/9999, Iter 293840: Loss = 0.010797322727739811, lr = [0.0001] +[2024-05-24 10:31:23,453] - INFO: Epoch 5878/9999, Iter 293860: Loss = 0.011467836797237396, lr = [0.0001] +[2024-05-24 10:31:51,179] - INFO: Epoch 5878/9999, Iter 293880: Loss = 0.018803438171744347, lr = [0.0001] +[2024-05-24 10:32:20,095] - INFO: Epoch 5879/9999, Iter 293900: Loss = 0.012093255296349525, lr = [0.0001] +[2024-05-24 10:32:48,276] - INFO: Epoch 5879/9999, Iter 293920: Loss = 0.013376717455685139, lr = [0.0001] +[2024-05-24 10:33:16,071] - INFO: Epoch 5879/9999, Iter 293940: Loss = 0.009850486181676388, lr = [0.0001] +[2024-05-24 10:33:44,067] - INFO: Epoch 5880/9999, Iter 293960: Loss = 0.0169612318277359, lr = [0.0001] +[2024-05-24 10:34:11,987] - INFO: Epoch 5880/9999, Iter 293980: Loss = 0.014678006060421467, lr = [0.0001] +[2024-05-24 10:34:38,007] - INFO: Evaluate at epoch 5880! +[2024-05-24 10:34:42,096] - INFO: Eval PSNR (max): 38.041 (5620) SSIM (max): 0.9611 (5335) +[2024-05-24 10:34:42,096] - INFO: Eval PSNR (current): 37.971 (5880) SSIM (current): 0.9606 (5880) +[2024-05-24 10:34:42,096] - INFO: Evaluation over. +[2024-05-24 10:34:46,791] - INFO: Epoch 5881/9999, Iter 294000: Loss = 0.018271222710609436, lr = [0.0001] +[2024-05-24 10:35:14,482] - INFO: Epoch 5881/9999, Iter 294020: Loss = 0.012171394191682339, lr = [0.0001] +[2024-05-24 10:35:42,769] - INFO: Epoch 5881/9999, Iter 294040: Loss = 0.017443988472223282, lr = [0.0001] +[2024-05-24 10:36:10,851] - INFO: Epoch 5882/9999, Iter 294060: Loss = 0.010364055633544922, lr = [0.0001] +[2024-05-24 10:36:39,031] - INFO: Epoch 5882/9999, Iter 294080: Loss = 0.01614493876695633, lr = [0.0001] +[2024-05-24 10:37:08,899] - INFO: Epoch 5883/9999, Iter 294100: Loss = 0.013535154983401299, lr = [0.0001] +[2024-05-24 10:37:36,517] - INFO: Epoch 5883/9999, Iter 294120: Loss = 0.016447976231575012, lr = [0.0001] +[2024-05-24 10:38:04,754] - INFO: Epoch 5883/9999, Iter 294140: Loss = 0.008614377118647099, lr = [0.0001] +[2024-05-24 10:38:34,194] - INFO: Epoch 5884/9999, Iter 294160: Loss = 0.010864120908081532, lr = [0.0001] +[2024-05-24 10:39:02,039] - INFO: Epoch 5884/9999, Iter 294180: Loss = 0.010344898328185081, lr = [0.0001] +[2024-05-24 10:39:31,120] - INFO: Epoch 5885/9999, Iter 294200: Loss = 0.011757423169910908, lr = [0.0001] +[2024-05-24 10:39:59,387] - INFO: Epoch 5885/9999, Iter 294220: Loss = 0.01203977968543768, lr = [0.0001] +[2024-05-24 10:40:27,303] - INFO: Epoch 5885/9999, Iter 294240: Loss = 0.012078016065061092, lr = [0.0001] +[2024-05-24 10:40:39,169] - INFO: Evaluate at epoch 5885! +[2024-05-24 10:40:43,252] - INFO: Eval PSNR (max): 38.041 (5620) SSIM (max): 0.9611 (5335) +[2024-05-24 10:40:43,252] - INFO: Eval PSNR (current): 37.914 (5885) SSIM (current): 0.9607 (5885) +[2024-05-24 10:40:43,252] - INFO: Evaluation over. +[2024-05-24 10:41:01,007] - INFO: Epoch 5886/9999, Iter 294260: Loss = 0.012710485607385635, lr = [0.0001] +[2024-05-24 10:41:27,783] - INFO: Epoch 5886/9999, Iter 294280: Loss = 0.010463154874742031, lr = [0.0001] +[2024-05-24 10:41:56,530] - INFO: Epoch 5887/9999, Iter 294300: Loss = 0.013124538585543633, lr = [0.0001] +[2024-05-24 10:42:25,091] - INFO: Epoch 5887/9999, Iter 294320: Loss = 0.014704979956150055, lr = [0.0001] +[2024-05-24 10:42:53,171] - INFO: Epoch 5887/9999, Iter 294340: Loss = 0.012632268480956554, lr = [0.0001] +[2024-05-24 10:43:21,775] - INFO: Epoch 5888/9999, Iter 294360: Loss = 0.011816633865237236, lr = [0.0001] +[2024-05-24 10:43:50,068] - INFO: Epoch 5888/9999, Iter 294380: Loss = 0.014342790469527245, lr = [0.0001] +[2024-05-24 10:44:18,693] - INFO: Epoch 5889/9999, Iter 294400: Loss = 0.011690138839185238, lr = [0.0001] +[2024-05-24 10:44:45,594] - INFO: Epoch 5889/9999, Iter 294420: Loss = 0.01370347198098898, lr = [0.0001] +[2024-05-24 10:45:12,579] - INFO: Epoch 5889/9999, Iter 294440: Loss = 0.012237953022122383, lr = [0.0001] +[2024-05-24 10:45:41,194] - INFO: Epoch 5890/9999, Iter 294460: Loss = 0.009774732403457165, lr = [0.0001] +[2024-05-24 10:46:07,942] - INFO: Epoch 5890/9999, Iter 294480: Loss = 0.007751219905912876, lr = [0.0001] +[2024-05-24 10:46:34,635] - INFO: Evaluate at epoch 5890! +[2024-05-24 10:46:38,799] - INFO: Eval PSNR (max): 38.041 (5620) SSIM (max): 0.9611 (5335) +[2024-05-24 10:46:38,800] - INFO: Eval PSNR (current): 37.973 (5890) SSIM (current): 0.9606 (5890) +[2024-05-24 10:46:38,800] - INFO: Evaluation over. +[2024-05-24 10:46:43,299] - INFO: Epoch 5891/9999, Iter 294500: Loss = 0.014280623756349087, lr = [0.0001] +[2024-05-24 10:47:10,738] - INFO: Epoch 5891/9999, Iter 294520: Loss = 0.01249534823000431, lr = [0.0001] +[2024-05-24 10:47:37,967] - INFO: Epoch 5891/9999, Iter 294540: Loss = 0.010029752738773823, lr = [0.0001] +[2024-05-24 10:48:07,867] - INFO: Epoch 5892/9999, Iter 294560: Loss = 0.010582746006548405, lr = [0.0001] +[2024-05-24 10:48:35,607] - INFO: Epoch 5892/9999, Iter 294580: Loss = 0.012033553794026375, lr = [0.0001] +[2024-05-24 10:49:04,387] - INFO: Epoch 5893/9999, Iter 294600: Loss = 0.011915136128664017, lr = [0.0001] +[2024-05-24 10:49:32,243] - INFO: Epoch 5893/9999, Iter 294620: Loss = 0.012131988070905209, lr = [0.0001] +[2024-05-24 10:50:00,562] - INFO: Epoch 5893/9999, Iter 294640: Loss = 0.01588965579867363, lr = [0.0001] +[2024-05-24 10:50:29,335] - INFO: Epoch 5894/9999, Iter 294660: Loss = 0.012221741490066051, lr = [0.0001] +[2024-05-24 10:50:56,398] - INFO: Epoch 5894/9999, Iter 294680: Loss = 0.010440157726407051, lr = [0.0001] +[2024-05-24 10:51:26,163] - INFO: Epoch 5895/9999, Iter 294700: Loss = 0.012551680207252502, lr = [0.0001] +[2024-05-24 10:51:54,087] - INFO: Epoch 5895/9999, Iter 294720: Loss = 0.012072037905454636, lr = [0.0001] +[2024-05-24 10:52:21,805] - INFO: Epoch 5895/9999, Iter 294740: Loss = 0.01011187769472599, lr = [0.0001] +[2024-05-24 10:52:34,340] - INFO: Evaluate at epoch 5895! +[2024-05-24 10:52:38,430] - INFO: Eval PSNR (max): 38.041 (5620) SSIM (max): 0.9611 (5335) +[2024-05-24 10:52:38,430] - INFO: Eval PSNR (current): 37.957 (5895) SSIM (current): 0.9608 (5895) +[2024-05-24 10:52:38,430] - INFO: Evaluation over. +[2024-05-24 10:52:57,111] - INFO: Epoch 5896/9999, Iter 294760: Loss = 0.013331383466720581, lr = [0.0001] +[2024-05-24 10:53:25,587] - INFO: Epoch 5896/9999, Iter 294780: Loss = 0.014939747750759125, lr = [0.0001] +[2024-05-24 10:53:54,756] - INFO: Epoch 5897/9999, Iter 294800: Loss = 0.014643682166934013, lr = [0.0001] +[2024-05-24 10:54:21,987] - INFO: Epoch 5897/9999, Iter 294820: Loss = 0.014295057393610477, lr = [0.0001] +[2024-05-24 10:54:48,507] - INFO: Epoch 5897/9999, Iter 294840: Loss = 0.010068599134683609, lr = [0.0001] +[2024-05-24 10:55:18,068] - INFO: Epoch 5898/9999, Iter 294860: Loss = 0.013286596164107323, lr = [0.0001] +[2024-05-24 10:55:46,186] - INFO: Epoch 5898/9999, Iter 294880: Loss = 0.013786879368126392, lr = [0.0001] +[2024-05-24 10:56:14,662] - INFO: Epoch 5899/9999, Iter 294900: Loss = 0.010567276738584042, lr = [0.0001] +[2024-05-24 10:56:42,387] - INFO: Epoch 5899/9999, Iter 294920: Loss = 0.014820093289017677, lr = [0.0001] +[2024-05-24 10:57:09,003] - INFO: Epoch 5899/9999, Iter 294940: Loss = 0.01084726769477129, lr = [0.0001] +[2024-05-24 10:57:38,995] - INFO: Epoch 5900/9999, Iter 294960: Loss = 0.009015396237373352, lr = [0.0001] +[2024-05-24 10:58:06,731] - INFO: Epoch 5900/9999, Iter 294980: Loss = 0.01522126980125904, lr = [0.0001] +[2024-05-24 10:58:32,104] - INFO: Evaluate at epoch 5900! +[2024-05-24 10:58:36,189] - INFO: Eval PSNR (max): 38.041 (5620) SSIM (max): 0.9611 (5335) +[2024-05-24 10:58:36,189] - INFO: Eval PSNR (current): 37.862 (5900) SSIM (current): 0.9607 (5900) +[2024-05-24 10:58:36,189] - INFO: Evaluation over. +[2024-05-24 10:58:40,651] - INFO: Epoch 5901/9999, Iter 295000: Loss = 0.015194968320429325, lr = [0.0001] +[2024-05-24 10:59:08,183] - INFO: Epoch 5901/9999, Iter 295020: Loss = 0.0212319977581501, lr = [0.0001] +[2024-05-24 10:59:35,278] - INFO: Epoch 5901/9999, Iter 295040: Loss = 0.013285473920404911, lr = [0.0001] +[2024-05-24 11:00:04,883] - INFO: Epoch 5902/9999, Iter 295060: Loss = 0.008973083458840847, lr = [0.0001] +[2024-05-24 11:00:32,759] - INFO: Epoch 5902/9999, Iter 295080: Loss = 0.01797691360116005, lr = [0.0001] +[2024-05-24 11:01:01,136] - INFO: Epoch 5903/9999, Iter 295100: Loss = 0.012447474524378777, lr = [0.0001] +[2024-05-24 11:01:27,931] - INFO: Epoch 5903/9999, Iter 295120: Loss = 0.01382661983370781, lr = [0.0001] +[2024-05-24 11:01:55,056] - INFO: Epoch 5903/9999, Iter 295140: Loss = 0.017347002401947975, lr = [0.0001] +[2024-05-24 11:02:24,565] - INFO: Epoch 5904/9999, Iter 295160: Loss = 0.008579736575484276, lr = [0.0001] +[2024-05-24 11:02:52,155] - INFO: Epoch 5904/9999, Iter 295180: Loss = 0.010173146612942219, lr = [0.0001] +[2024-05-24 11:03:21,799] - INFO: Epoch 5905/9999, Iter 295200: Loss = 0.009970931336283684, lr = [0.0001] +[2024-05-24 11:03:49,032] - INFO: Epoch 5905/9999, Iter 295220: Loss = 0.017669666558504105, lr = [0.0001] +[2024-05-24 11:04:16,379] - INFO: Epoch 5905/9999, Iter 295240: Loss = 0.015972454100847244, lr = [0.0001] +[2024-05-24 11:04:28,955] - INFO: Evaluate at epoch 5905! +[2024-05-24 11:04:33,145] - INFO: Eval PSNR (max): 38.041 (5620) SSIM (max): 0.9611 (5335) +[2024-05-24 11:04:33,146] - INFO: Eval PSNR (current): 38.019 (5905) SSIM (current): 0.9608 (5905) +[2024-05-24 11:04:33,146] - INFO: Evaluation over. +[2024-05-24 11:04:52,344] - INFO: Epoch 5906/9999, Iter 295260: Loss = 0.009829940274357796, lr = [0.0001] +[2024-05-24 11:05:19,371] - INFO: Epoch 5906/9999, Iter 295280: Loss = 0.012434191070497036, lr = [0.0001] +[2024-05-24 11:05:47,909] - INFO: Epoch 5907/9999, Iter 295300: Loss = 0.014201177284121513, lr = [0.0001] +[2024-05-24 11:06:15,365] - INFO: Epoch 5907/9999, Iter 295320: Loss = 0.018138982355594635, lr = [0.0001] +[2024-05-24 11:06:43,179] - INFO: Epoch 5907/9999, Iter 295340: Loss = 0.012487894855439663, lr = [0.0001] +[2024-05-24 11:07:12,701] - INFO: Epoch 5908/9999, Iter 295360: Loss = 0.013064337894320488, lr = [0.0001] +[2024-05-24 11:07:41,060] - INFO: Epoch 5908/9999, Iter 295380: Loss = 0.012543261051177979, lr = [0.0001] +[2024-05-24 11:08:09,905] - INFO: Epoch 5909/9999, Iter 295400: Loss = 0.01420090813189745, lr = [0.0001] +[2024-05-24 11:08:37,043] - INFO: Epoch 5909/9999, Iter 295420: Loss = 0.009812449105083942, lr = [0.0001] +[2024-05-24 11:09:05,820] - INFO: Epoch 5909/9999, Iter 295440: Loss = 0.012737870216369629, lr = [0.0001] +[2024-05-24 11:09:34,527] - INFO: Epoch 5910/9999, Iter 295460: Loss = 0.016491249203681946, lr = [0.0001] +[2024-05-24 11:10:02,144] - INFO: Epoch 5910/9999, Iter 295480: Loss = 0.023945316672325134, lr = [0.0001] +[2024-05-24 11:10:28,433] - INFO: Evaluate at epoch 5910! +[2024-05-24 11:10:32,523] - INFO: Eval PSNR (max): 38.041 (5620) SSIM (max): 0.9611 (5335) +[2024-05-24 11:10:32,523] - INFO: Eval PSNR (current): 37.925 (5910) SSIM (current): 0.9605 (5910) +[2024-05-24 11:10:32,523] - INFO: Evaluation over. +[2024-05-24 11:10:36,775] - INFO: Epoch 5911/9999, Iter 295500: Loss = 0.013545677065849304, lr = [0.0001] +[2024-05-24 11:11:05,004] - INFO: Epoch 5911/9999, Iter 295520: Loss = 0.010144933126866817, lr = [0.0001] +[2024-05-24 11:11:32,668] - INFO: Epoch 5911/9999, Iter 295540: Loss = 0.008805493824183941, lr = [0.0001] +[2024-05-24 11:12:02,010] - INFO: Epoch 5912/9999, Iter 295560: Loss = 0.009965007193386555, lr = [0.0001] +[2024-05-24 11:12:29,671] - INFO: Epoch 5912/9999, Iter 295580: Loss = 0.014927011914551258, lr = [0.0001] +[2024-05-24 11:12:59,163] - INFO: Epoch 5913/9999, Iter 295600: Loss = 0.01576627418398857, lr = [0.0001] +[2024-05-24 11:13:26,163] - INFO: Epoch 5913/9999, Iter 295620: Loss = 0.01056271605193615, lr = [0.0001] +[2024-05-24 11:13:53,315] - INFO: Epoch 5913/9999, Iter 295640: Loss = 0.0109883863478899, lr = [0.0001] +[2024-05-24 11:14:22,841] - INFO: Epoch 5914/9999, Iter 295660: Loss = 0.016493255272507668, lr = [0.0001] +[2024-05-24 11:14:49,815] - INFO: Epoch 5914/9999, Iter 295680: Loss = 0.008303316310048103, lr = [0.0001] +[2024-05-24 11:15:19,220] - INFO: Epoch 5915/9999, Iter 295700: Loss = 0.014367370866239071, lr = [0.0001] +[2024-05-24 11:15:46,448] - INFO: Epoch 5915/9999, Iter 295720: Loss = 0.014194260351359844, lr = [0.0001] +[2024-05-24 11:16:14,125] - INFO: Epoch 5915/9999, Iter 295740: Loss = 0.00849924422800541, lr = [0.0001] +[2024-05-24 11:16:26,767] - INFO: Evaluate at epoch 5915! +[2024-05-24 11:16:30,868] - INFO: Eval PSNR (max): 38.041 (5620) SSIM (max): 0.9611 (5335) +[2024-05-24 11:16:30,868] - INFO: Eval PSNR (current): 38.006 (5915) SSIM (current): 0.9609 (5915) +[2024-05-24 11:16:30,868] - INFO: Evaluation over. +[2024-05-24 11:16:49,623] - INFO: Epoch 5916/9999, Iter 295760: Loss = 0.013700512237846851, lr = [0.0001] +[2024-05-24 11:17:16,351] - INFO: Epoch 5916/9999, Iter 295780: Loss = 0.015615229494869709, lr = [0.0001] +[2024-05-24 11:17:45,403] - INFO: Epoch 5917/9999, Iter 295800: Loss = 0.012611806392669678, lr = [0.0001] +[2024-05-24 11:18:13,054] - INFO: Epoch 5917/9999, Iter 295820: Loss = 0.013990437611937523, lr = [0.0001] +[2024-05-24 11:18:41,079] - INFO: Epoch 5917/9999, Iter 295840: Loss = 0.01545623131096363, lr = [0.0001] +[2024-05-24 11:19:10,242] - INFO: Epoch 5918/9999, Iter 295860: Loss = 0.009735328145325184, lr = [0.0001] +[2024-05-24 11:19:39,043] - INFO: Epoch 5918/9999, Iter 295880: Loss = 0.01302990410476923, lr = [0.0001] +[2024-05-24 11:20:07,867] - INFO: Epoch 5919/9999, Iter 295900: Loss = 0.01873558573424816, lr = [0.0001] +[2024-05-24 11:20:34,907] - INFO: Epoch 5919/9999, Iter 295920: Loss = 0.013914919458329678, lr = [0.0001] +[2024-05-24 11:21:02,635] - INFO: Epoch 5919/9999, Iter 295940: Loss = 0.01131131686270237, lr = [0.0001] +[2024-05-24 11:21:31,763] - INFO: Epoch 5920/9999, Iter 295960: Loss = 0.012257860973477364, lr = [0.0001] +[2024-05-24 11:21:59,855] - INFO: Epoch 5920/9999, Iter 295980: Loss = 0.010944748297333717, lr = [0.0001] +[2024-05-24 11:22:25,515] - INFO: Evaluate at epoch 5920! +[2024-05-24 11:22:29,594] - INFO: Eval PSNR (max): 38.041 (5620) SSIM (max): 0.9611 (5335) +[2024-05-24 11:22:29,595] - INFO: Eval PSNR (current): 37.964 (5920) SSIM (current): 0.9607 (5920) +[2024-05-24 11:22:29,595] - INFO: Evaluation over. +[2024-05-24 11:22:34,385] - INFO: Epoch 5921/9999, Iter 296000: Loss = 0.011721692979335785, lr = [0.0001] +[2024-05-24 11:23:01,686] - INFO: Epoch 5921/9999, Iter 296020: Loss = 0.017534229904413223, lr = [0.0001] +[2024-05-24 11:23:28,500] - INFO: Epoch 5921/9999, Iter 296040: Loss = 0.01440965011715889, lr = [0.0001] +[2024-05-24 11:23:57,707] - INFO: Epoch 5922/9999, Iter 296060: Loss = 0.013682764954864979, lr = [0.0001] +[2024-05-24 11:24:25,631] - INFO: Epoch 5922/9999, Iter 296080: Loss = 0.015241340734064579, lr = [0.0001] +[2024-05-24 11:24:54,636] - INFO: Epoch 5923/9999, Iter 296100: Loss = 0.012315820902585983, lr = [0.0001] +[2024-05-24 11:25:21,535] - INFO: Epoch 5923/9999, Iter 296120: Loss = 0.012076866813004017, lr = [0.0001] +[2024-05-24 11:25:48,390] - INFO: Epoch 5923/9999, Iter 296140: Loss = 0.01200440339744091, lr = [0.0001] +[2024-05-24 11:26:18,622] - INFO: Epoch 5924/9999, Iter 296160: Loss = 0.011243290267884731, lr = [0.0001] +[2024-05-24 11:26:45,738] - INFO: Epoch 5924/9999, Iter 296180: Loss = 0.015668388456106186, lr = [0.0001] +[2024-05-24 11:27:14,971] - INFO: Epoch 5925/9999, Iter 296200: Loss = 0.01219235546886921, lr = [0.0001] +[2024-05-24 11:27:42,651] - INFO: Epoch 5925/9999, Iter 296220: Loss = 0.006607553455978632, lr = [0.0001] +[2024-05-24 11:28:11,065] - INFO: Epoch 5925/9999, Iter 296240: Loss = 0.01791795901954174, lr = [0.0001] +[2024-05-24 11:28:23,178] - INFO: Evaluate at epoch 5925! +[2024-05-24 11:28:27,253] - INFO: Eval PSNR (max): 38.041 (5620) SSIM (max): 0.9611 (5335) +[2024-05-24 11:28:27,253] - INFO: Eval PSNR (current): 37.971 (5925) SSIM (current): 0.9607 (5925) +[2024-05-24 11:28:27,253] - INFO: Evaluation over. +[2024-05-24 11:28:45,524] - INFO: Epoch 5926/9999, Iter 296260: Loss = 0.011503079906105995, lr = [0.0001] +[2024-05-24 11:29:12,471] - INFO: Epoch 5926/9999, Iter 296280: Loss = 0.009564762003719807, lr = [0.0001] +[2024-05-24 11:29:41,120] - INFO: Epoch 5927/9999, Iter 296300: Loss = 0.01171907875686884, lr = [0.0001] +[2024-05-24 11:30:08,460] - INFO: Epoch 5927/9999, Iter 296320: Loss = 0.014992093667387962, lr = [0.0001] +[2024-05-24 11:30:36,129] - INFO: Epoch 5927/9999, Iter 296340: Loss = 0.010671681724488735, lr = [0.0001] +[2024-05-24 11:31:04,784] - INFO: Epoch 5928/9999, Iter 296360: Loss = 0.014307523146271706, lr = [0.0001] +[2024-05-24 11:31:32,385] - INFO: Epoch 5928/9999, Iter 296380: Loss = 0.014262987300753593, lr = [0.0001] +[2024-05-24 11:32:02,192] - INFO: Epoch 5929/9999, Iter 296400: Loss = 0.010967875830829144, lr = [0.0001] +[2024-05-24 11:32:30,778] - INFO: Epoch 5929/9999, Iter 296420: Loss = 0.014037763699889183, lr = [0.0001] +[2024-05-24 11:32:58,783] - INFO: Epoch 5929/9999, Iter 296440: Loss = 0.016831370070576668, lr = [0.0001] +[2024-05-24 11:33:27,501] - INFO: Epoch 5930/9999, Iter 296460: Loss = 0.01405691634863615, lr = [0.0001] +[2024-05-24 11:33:54,883] - INFO: Epoch 5930/9999, Iter 296480: Loss = 0.014625698328018188, lr = [0.0001] +[2024-05-24 11:34:21,414] - INFO: Evaluate at epoch 5930! +[2024-05-24 11:34:25,491] - INFO: Eval PSNR (max): 38.041 (5620) SSIM (max): 0.9611 (5335) +[2024-05-24 11:34:25,491] - INFO: Eval PSNR (current): 37.868 (5930) SSIM (current): 0.9603 (5930) +[2024-05-24 11:34:25,491] - INFO: Evaluation over. +[2024-05-24 11:34:30,147] - INFO: Epoch 5931/9999, Iter 296500: Loss = 0.012335598468780518, lr = [0.0001] +[2024-05-24 11:34:59,032] - INFO: Epoch 5931/9999, Iter 296520: Loss = 0.010184083133935928, lr = [0.0001] +[2024-05-24 11:35:26,113] - INFO: Epoch 5931/9999, Iter 296540: Loss = 0.010214739479124546, lr = [0.0001] +[2024-05-24 11:35:54,447] - INFO: Epoch 5932/9999, Iter 296560: Loss = 0.012318304739892483, lr = [0.0001] +[2024-05-24 11:36:22,591] - INFO: Epoch 5932/9999, Iter 296580: Loss = 0.010981090366840363, lr = [0.0001] +[2024-05-24 11:36:51,753] - INFO: Epoch 5933/9999, Iter 296600: Loss = 0.012516612187027931, lr = [0.0001] +[2024-05-24 11:37:19,033] - INFO: Epoch 5933/9999, Iter 296620: Loss = 0.014917380176484585, lr = [0.0001] +[2024-05-24 11:37:47,944] - INFO: Epoch 5933/9999, Iter 296640: Loss = 0.012423187494277954, lr = [0.0001] +[2024-05-24 11:38:16,257] - INFO: Epoch 5934/9999, Iter 296660: Loss = 0.017288755625486374, lr = [0.0001] +[2024-05-24 11:38:44,429] - INFO: Epoch 5934/9999, Iter 296680: Loss = 0.016223080456256866, lr = [0.0001] +[2024-05-24 11:39:13,711] - INFO: Epoch 5935/9999, Iter 296700: Loss = 0.01780669204890728, lr = [0.0001] +[2024-05-24 11:39:42,406] - INFO: Epoch 5935/9999, Iter 296720: Loss = 0.010523385368287563, lr = [0.0001] +[2024-05-24 11:40:09,384] - INFO: Epoch 5935/9999, Iter 296740: Loss = 0.006767538841813803, lr = [0.0001] +[2024-05-24 11:40:21,547] - INFO: Evaluate at epoch 5935! +[2024-05-24 11:40:25,624] - INFO: Eval PSNR (max): 38.041 (5620) SSIM (max): 0.9611 (5335) +[2024-05-24 11:40:25,624] - INFO: Eval PSNR (current): 37.975 (5935) SSIM (current): 0.9607 (5935) +[2024-05-24 11:40:25,625] - INFO: Evaluation over. +[2024-05-24 11:40:44,036] - INFO: Epoch 5936/9999, Iter 296760: Loss = 0.0092788590118289, lr = [0.0001] +[2024-05-24 11:41:12,615] - INFO: Epoch 5936/9999, Iter 296780: Loss = 0.012858432717621326, lr = [0.0001] +[2024-05-24 11:41:41,315] - INFO: Epoch 5937/9999, Iter 296800: Loss = 0.013751308433711529, lr = [0.0001] +[2024-05-24 11:42:09,782] - INFO: Epoch 5937/9999, Iter 296820: Loss = 0.013694394379854202, lr = [0.0001] +[2024-05-24 11:42:37,695] - INFO: Epoch 5937/9999, Iter 296840: Loss = 0.012952354736626148, lr = [0.0001] +[2024-05-24 11:43:06,154] - INFO: Epoch 5938/9999, Iter 296860: Loss = 0.011190371587872505, lr = [0.0001] +[2024-05-24 11:43:33,007] - INFO: Epoch 5938/9999, Iter 296880: Loss = 0.012752206064760685, lr = [0.0001] +[2024-05-24 11:44:01,759] - INFO: Epoch 5939/9999, Iter 296900: Loss = 0.010397626087069511, lr = [0.0001] +[2024-05-24 11:44:30,065] - INFO: Epoch 5939/9999, Iter 296920: Loss = 0.018586697056889534, lr = [0.0001] +[2024-05-24 11:44:57,260] - INFO: Epoch 5939/9999, Iter 296940: Loss = 0.012018274515867233, lr = [0.0001] +[2024-05-24 11:45:25,377] - INFO: Epoch 5940/9999, Iter 296960: Loss = 0.014836804009974003, lr = [0.0001] +[2024-05-24 11:45:53,157] - INFO: Epoch 5940/9999, Iter 296980: Loss = 0.009394299238920212, lr = [0.0001] +[2024-05-24 11:46:19,898] - INFO: Evaluate at epoch 5940! +[2024-05-24 11:46:23,968] - INFO: Eval PSNR (max): 38.041 (5620) SSIM (max): 0.9611 (5335) +[2024-05-24 11:46:23,968] - INFO: Eval PSNR (current): 37.997 (5940) SSIM (current): 0.9607 (5940) +[2024-05-24 11:46:23,968] - INFO: Evaluation over. +[2024-05-24 11:46:28,394] - INFO: Epoch 5941/9999, Iter 297000: Loss = 0.015704123303294182, lr = [0.0001] +[2024-05-24 11:46:55,777] - INFO: Epoch 5941/9999, Iter 297020: Loss = 0.014952028170228004, lr = [0.0001] +[2024-05-24 11:47:23,923] - INFO: Epoch 5941/9999, Iter 297040: Loss = 0.009341929107904434, lr = [0.0001] +[2024-05-24 11:47:53,735] - INFO: Epoch 5942/9999, Iter 297060: Loss = 0.011731666512787342, lr = [0.0001] +[2024-05-24 11:48:20,831] - INFO: Epoch 5942/9999, Iter 297080: Loss = 0.008236968889832497, lr = [0.0001] +[2024-05-24 11:48:50,219] - INFO: Epoch 5943/9999, Iter 297100: Loss = 0.013268810696899891, lr = [0.0001] +[2024-05-24 11:49:18,302] - INFO: Epoch 5943/9999, Iter 297120: Loss = 0.010736201889812946, lr = [0.0001] +[2024-05-24 11:49:45,919] - INFO: Epoch 5943/9999, Iter 297140: Loss = 0.010749774985015392, lr = [0.0001] +[2024-05-24 11:50:15,110] - INFO: Epoch 5944/9999, Iter 297160: Loss = 0.012556826695799828, lr = [0.0001] +[2024-05-24 11:50:43,239] - INFO: Epoch 5944/9999, Iter 297180: Loss = 0.009880298748612404, lr = [0.0001] +[2024-05-24 11:51:12,672] - INFO: Epoch 5945/9999, Iter 297200: Loss = 0.017457064241170883, lr = [0.0001] +[2024-05-24 11:51:40,145] - INFO: Epoch 5945/9999, Iter 297220: Loss = 0.009059172123670578, lr = [0.0001] +[2024-05-24 11:52:08,187] - INFO: Epoch 5945/9999, Iter 297240: Loss = 0.01058908086270094, lr = [0.0001] +[2024-05-24 11:52:20,588] - INFO: Evaluate at epoch 5945! +[2024-05-24 11:52:24,660] - INFO: Eval PSNR (max): 38.041 (5620) SSIM (max): 0.9611 (5335) +[2024-05-24 11:52:24,661] - INFO: Eval PSNR (current): 37.914 (5945) SSIM (current): 0.9607 (5945) +[2024-05-24 11:52:24,661] - INFO: Evaluation over. +[2024-05-24 11:52:43,311] - INFO: Epoch 5946/9999, Iter 297260: Loss = 0.01545595284551382, lr = [0.0001] +[2024-05-24 11:53:10,810] - INFO: Epoch 5946/9999, Iter 297280: Loss = 0.009436446242034435, lr = [0.0001] +[2024-05-24 11:53:39,339] - INFO: Epoch 5947/9999, Iter 297300: Loss = 0.016553934663534164, lr = [0.0001] +[2024-05-24 11:54:07,707] - INFO: Epoch 5947/9999, Iter 297320: Loss = 0.009701705537736416, lr = [0.0001] +[2024-05-24 11:54:35,327] - INFO: Epoch 5947/9999, Iter 297340: Loss = 0.014403318986296654, lr = [0.0001] +[2024-05-24 11:55:05,267] - INFO: Epoch 5948/9999, Iter 297360: Loss = 0.010792667977511883, lr = [0.0001] +[2024-05-24 11:55:32,690] - INFO: Epoch 5948/9999, Iter 297380: Loss = 0.017227552831172943, lr = [0.0001] +[2024-05-24 11:56:01,887] - INFO: Epoch 5949/9999, Iter 297400: Loss = 0.01158939953893423, lr = [0.0001] +[2024-05-24 11:56:30,012] - INFO: Epoch 5949/9999, Iter 297420: Loss = 0.006814730819314718, lr = [0.0001] +[2024-05-24 11:56:57,188] - INFO: Epoch 5949/9999, Iter 297440: Loss = 0.010467368178069592, lr = [0.0001] +[2024-05-24 11:57:26,259] - INFO: Epoch 5950/9999, Iter 297460: Loss = 0.011609013192355633, lr = [0.0001] +[2024-05-24 11:57:53,917] - INFO: Epoch 5950/9999, Iter 297480: Loss = 0.016855807974934578, lr = [0.0001] +[2024-05-24 11:58:20,077] - INFO: Evaluate at epoch 5950! +[2024-05-24 11:58:24,161] - INFO: Eval PSNR (max): 38.041 (5620) SSIM (max): 0.9611 (5335) +[2024-05-24 11:58:24,161] - INFO: Eval PSNR (current): 37.987 (5950) SSIM (current): 0.9607 (5950) +[2024-05-24 11:58:24,161] - INFO: Evaluation over. +[2024-05-24 11:58:28,522] - INFO: Epoch 5951/9999, Iter 297500: Loss = 0.013346132822334766, lr = [0.0001] +[2024-05-24 11:58:56,155] - INFO: Epoch 5951/9999, Iter 297520: Loss = 0.011434841901063919, lr = [0.0001] +[2024-05-24 11:59:22,747] - INFO: Epoch 5951/9999, Iter 297540: Loss = 0.016597194597125053, lr = [0.0001] +[2024-05-24 11:59:51,276] - INFO: Epoch 5952/9999, Iter 297560: Loss = 0.015521806664764881, lr = [0.0001] +[2024-05-24 12:00:18,360] - INFO: Epoch 5952/9999, Iter 297580: Loss = 0.008669941686093807, lr = [0.0001] +[2024-05-24 12:00:47,164] - INFO: Epoch 5953/9999, Iter 297600: Loss = 0.013434416614472866, lr = [0.0001] +[2024-05-24 12:01:14,854] - INFO: Epoch 5953/9999, Iter 297620: Loss = 0.01952238939702511, lr = [0.0001] +[2024-05-24 12:01:43,235] - INFO: Epoch 5953/9999, Iter 297640: Loss = 0.01051325909793377, lr = [0.0001] +[2024-05-24 12:02:12,421] - INFO: Epoch 5954/9999, Iter 297660: Loss = 0.016457853838801384, lr = [0.0001] +[2024-05-24 12:02:40,469] - INFO: Epoch 5954/9999, Iter 297680: Loss = 0.00912515353411436, lr = [0.0001] +[2024-05-24 12:03:09,023] - INFO: Epoch 5955/9999, Iter 297700: Loss = 0.01609012857079506, lr = [0.0001] +[2024-05-24 12:03:36,371] - INFO: Epoch 5955/9999, Iter 297720: Loss = 0.018985267728567123, lr = [0.0001] +[2024-05-24 12:04:04,403] - INFO: Epoch 5955/9999, Iter 297740: Loss = 0.009016118012368679, lr = [0.0001] +[2024-05-24 12:04:16,651] - INFO: Evaluate at epoch 5955! +[2024-05-24 12:04:20,741] - INFO: Eval PSNR (max): 38.041 (5620) SSIM (max): 0.9611 (5335) +[2024-05-24 12:04:20,741] - INFO: Eval PSNR (current): 37.977 (5955) SSIM (current): 0.9608 (5955) +[2024-05-24 12:04:20,742] - INFO: Evaluation over. +[2024-05-24 12:04:39,301] - INFO: Epoch 5956/9999, Iter 297760: Loss = 0.010730191133916378, lr = [0.0001] +[2024-05-24 12:05:07,809] - INFO: Epoch 5956/9999, Iter 297780: Loss = 0.012230639345943928, lr = [0.0001] +[2024-05-24 12:05:36,483] - INFO: Epoch 5957/9999, Iter 297800: Loss = 0.01131853275001049, lr = [0.0001] +[2024-05-24 12:06:03,925] - INFO: Epoch 5957/9999, Iter 297820: Loss = 0.012434730306267738, lr = [0.0001] +[2024-05-24 12:06:32,870] - INFO: Epoch 5957/9999, Iter 297840: Loss = 0.011059165000915527, lr = [0.0001] +[2024-05-24 12:07:02,123] - INFO: Epoch 5958/9999, Iter 297860: Loss = 0.014947026036679745, lr = [0.0001] +[2024-05-24 12:07:29,131] - INFO: Epoch 5958/9999, Iter 297880: Loss = 0.011535330675542355, lr = [0.0001] +[2024-05-24 12:07:57,627] - INFO: Epoch 5959/9999, Iter 297900: Loss = 0.013924888335168362, lr = [0.0001] +[2024-05-24 12:08:24,879] - INFO: Epoch 5959/9999, Iter 297920: Loss = 0.02370320074260235, lr = [0.0001] +[2024-05-24 12:08:51,709] - INFO: Epoch 5959/9999, Iter 297940: Loss = 0.018549751490354538, lr = [0.0001] +[2024-05-24 12:09:21,074] - INFO: Epoch 5960/9999, Iter 297960: Loss = 0.009645729325711727, lr = [0.0001] +[2024-05-24 12:09:48,848] - INFO: Epoch 5960/9999, Iter 297980: Loss = 0.009705227799713612, lr = [0.0001] +[2024-05-24 12:10:14,386] - INFO: Evaluate at epoch 5960! +[2024-05-24 12:10:18,475] - INFO: Eval PSNR (max): 38.041 (5620) SSIM (max): 0.9611 (5335) +[2024-05-24 12:10:18,475] - INFO: Eval PSNR (current): 37.975 (5960) SSIM (current): 0.9607 (5960) +[2024-05-24 12:10:18,475] - INFO: Evaluation over. +[2024-05-24 12:10:22,749] - INFO: Epoch 5961/9999, Iter 298000: Loss = 0.010246043093502522, lr = [0.0001] +[2024-05-24 12:10:49,325] - INFO: Epoch 5961/9999, Iter 298020: Loss = 0.012167371809482574, lr = [0.0001] +[2024-05-24 12:11:16,743] - INFO: Epoch 5961/9999, Iter 298040: Loss = 0.015049963258206844, lr = [0.0001] +[2024-05-24 12:11:45,679] - INFO: Epoch 5962/9999, Iter 298060: Loss = 0.01937657594680786, lr = [0.0001] +[2024-05-24 12:12:14,347] - INFO: Epoch 5962/9999, Iter 298080: Loss = 0.012354069389402866, lr = [0.0001] +[2024-05-24 12:12:42,728] - INFO: Epoch 5963/9999, Iter 298100: Loss = 0.011505377478897572, lr = [0.0001] +[2024-05-24 12:13:09,511] - INFO: Epoch 5963/9999, Iter 298120: Loss = 0.011238429695367813, lr = [0.0001] +[2024-05-24 12:13:36,707] - INFO: Epoch 5963/9999, Iter 298140: Loss = 0.011743311770260334, lr = [0.0001] +[2024-05-24 12:14:05,250] - INFO: Epoch 5964/9999, Iter 298160: Loss = 0.014872051775455475, lr = [0.0001] +[2024-05-24 12:14:33,301] - INFO: Epoch 5964/9999, Iter 298180: Loss = 0.011078660376369953, lr = [0.0001] +[2024-05-24 12:15:03,147] - INFO: Epoch 5965/9999, Iter 298200: Loss = 0.015467804856598377, lr = [0.0001] +[2024-05-24 12:15:31,205] - INFO: Epoch 5965/9999, Iter 298220: Loss = 0.008802417665719986, lr = [0.0001] +[2024-05-24 12:15:59,168] - INFO: Epoch 5965/9999, Iter 298240: Loss = 0.019906092435121536, lr = [0.0001] +[2024-05-24 12:16:11,201] - INFO: Evaluate at epoch 5965! +[2024-05-24 12:16:15,314] - INFO: Eval PSNR (max): 38.041 (5620) SSIM (max): 0.9611 (5335) +[2024-05-24 12:16:15,315] - INFO: Eval PSNR (current): 37.168 (5965) SSIM (current): 0.9603 (5965) +[2024-05-24 12:16:15,315] - INFO: Evaluation over. +[2024-05-24 12:16:32,971] - INFO: Epoch 5966/9999, Iter 298260: Loss = 0.008166109211742878, lr = [0.0001] +[2024-05-24 12:17:00,674] - INFO: Epoch 5966/9999, Iter 298280: Loss = 0.010800075717270374, lr = [0.0001] +[2024-05-24 12:17:29,504] - INFO: Epoch 5967/9999, Iter 298300: Loss = 0.015082667581737041, lr = [0.0001] +[2024-05-24 12:17:57,666] - INFO: Epoch 5967/9999, Iter 298320: Loss = 0.014936377294361591, lr = [0.0001] +[2024-05-24 12:18:24,742] - INFO: Epoch 5967/9999, Iter 298340: Loss = 0.020255984738469124, lr = [0.0001] +[2024-05-24 12:18:53,407] - INFO: Epoch 5968/9999, Iter 298360: Loss = 0.012339322827756405, lr = [0.0001] +[2024-05-24 12:19:20,113] - INFO: Epoch 5968/9999, Iter 298380: Loss = 0.013208297081291676, lr = [0.0001] +[2024-05-24 12:19:49,007] - INFO: Epoch 5969/9999, Iter 298400: Loss = 0.0075719947926700115, lr = [0.0001] +[2024-05-24 12:20:17,203] - INFO: Epoch 5969/9999, Iter 298420: Loss = 0.0075562153942883015, lr = [0.0001] +[2024-05-24 12:20:45,074] - INFO: Epoch 5969/9999, Iter 298440: Loss = 0.014352134428918362, lr = [0.0001] +[2024-05-24 12:21:14,099] - INFO: Epoch 5970/9999, Iter 298460: Loss = 0.010880439542233944, lr = [0.0001] +[2024-05-24 12:21:42,040] - INFO: Epoch 5970/9999, Iter 298480: Loss = 0.014335455372929573, lr = [0.0001] +[2024-05-24 12:22:08,290] - INFO: Evaluate at epoch 5970! +[2024-05-24 12:22:12,405] - INFO: Eval PSNR (max): 38.041 (5620) SSIM (max): 0.9611 (5335) +[2024-05-24 12:22:12,406] - INFO: Eval PSNR (current): 37.949 (5970) SSIM (current): 0.9606 (5970) +[2024-05-24 12:22:12,406] - INFO: Evaluation over. +[2024-05-24 12:22:17,137] - INFO: Epoch 5971/9999, Iter 298500: Loss = 0.015744829550385475, lr = [0.0001] +[2024-05-24 12:22:44,468] - INFO: Epoch 5971/9999, Iter 298520: Loss = 0.01622769422829151, lr = [0.0001] +[2024-05-24 12:23:13,410] - INFO: Epoch 5971/9999, Iter 298540: Loss = 0.019483741372823715, lr = [0.0001] +[2024-05-24 12:23:42,395] - INFO: Epoch 5972/9999, Iter 298560: Loss = 0.013589483685791492, lr = [0.0001] +[2024-05-24 12:24:10,507] - INFO: Epoch 5972/9999, Iter 298580: Loss = 0.01108710840344429, lr = [0.0001] +[2024-05-24 12:24:39,507] - INFO: Epoch 5973/9999, Iter 298600: Loss = 0.011612682603299618, lr = [0.0001] +[2024-05-24 12:25:07,052] - INFO: Epoch 5973/9999, Iter 298620: Loss = 0.017369713634252548, lr = [0.0001] +[2024-05-24 12:25:35,570] - INFO: Epoch 5973/9999, Iter 298640: Loss = 0.015682196244597435, lr = [0.0001] +[2024-05-24 12:26:05,191] - INFO: Epoch 5974/9999, Iter 298660: Loss = 0.01224928442388773, lr = [0.0001] +[2024-05-24 12:26:33,402] - INFO: Epoch 5974/9999, Iter 298680: Loss = 0.018707910552620888, lr = [0.0001] +[2024-05-24 12:27:01,956] - INFO: Epoch 5975/9999, Iter 298700: Loss = 0.02591904252767563, lr = [0.0001] +[2024-05-24 12:27:30,263] - INFO: Epoch 5975/9999, Iter 298720: Loss = 0.011267547495663166, lr = [0.0001] +[2024-05-24 12:27:57,964] - INFO: Epoch 5975/9999, Iter 298740: Loss = 0.01687241904437542, lr = [0.0001] +[2024-05-24 12:28:10,151] - INFO: Evaluate at epoch 5975! +[2024-05-24 12:28:14,269] - INFO: Eval PSNR (max): 38.041 (5620) SSIM (max): 0.9611 (5335) +[2024-05-24 12:28:14,269] - INFO: Eval PSNR (current): 37.977 (5975) SSIM (current): 0.9607 (5975) +[2024-05-24 12:28:14,269] - INFO: Evaluation over. +[2024-05-24 12:28:33,356] - INFO: Epoch 5976/9999, Iter 298760: Loss = 0.012587063945829868, lr = [0.0001] +[2024-05-24 12:29:00,903] - INFO: Epoch 5976/9999, Iter 298780: Loss = 0.019961591809988022, lr = [0.0001] +[2024-05-24 12:29:29,771] - INFO: Epoch 5977/9999, Iter 298800: Loss = 0.014819198288023472, lr = [0.0001] +[2024-05-24 12:29:57,135] - INFO: Epoch 5977/9999, Iter 298820: Loss = 0.0159479770809412, lr = [0.0001] +[2024-05-24 12:30:24,023] - INFO: Epoch 5977/9999, Iter 298840: Loss = 0.016200974583625793, lr = [0.0001] +[2024-05-24 12:30:53,739] - INFO: Epoch 5978/9999, Iter 298860: Loss = 0.015290130861103535, lr = [0.0001] +[2024-05-24 12:31:22,069] - INFO: Epoch 5978/9999, Iter 298880: Loss = 0.012972441501915455, lr = [0.0001] +[2024-05-24 12:31:51,755] - INFO: Epoch 5979/9999, Iter 298900: Loss = 0.015025196596980095, lr = [0.0001] +[2024-05-24 12:32:19,479] - INFO: Epoch 5979/9999, Iter 298920: Loss = 0.014466469176113605, lr = [0.0001] +[2024-05-24 12:32:46,923] - INFO: Epoch 5979/9999, Iter 298940: Loss = 0.016322124749422073, lr = [0.0001] +[2024-05-24 12:33:14,951] - INFO: Epoch 5980/9999, Iter 298960: Loss = 0.016211092472076416, lr = [0.0001] +[2024-05-24 12:33:43,072] - INFO: Epoch 5980/9999, Iter 298980: Loss = 0.018897654488682747, lr = [0.0001] +[2024-05-24 12:34:09,373] - INFO: Evaluate at epoch 5980! +[2024-05-24 12:34:13,496] - INFO: Eval PSNR (max): 38.041 (5620) SSIM (max): 0.9611 (5335) +[2024-05-24 12:34:13,497] - INFO: Eval PSNR (current): 37.947 (5980) SSIM (current): 0.9607 (5980) +[2024-05-24 12:34:13,497] - INFO: Evaluation over. +[2024-05-24 12:34:18,426] - INFO: Epoch 5981/9999, Iter 299000: Loss = 0.010433739051222801, lr = [0.0001] +[2024-05-24 12:34:46,465] - INFO: Epoch 5981/9999, Iter 299020: Loss = 0.013345804996788502, lr = [0.0001] +[2024-05-24 12:35:13,666] - INFO: Epoch 5981/9999, Iter 299040: Loss = 0.012281417846679688, lr = [0.0001] +[2024-05-24 12:35:43,471] - INFO: Epoch 5982/9999, Iter 299060: Loss = 0.014445353299379349, lr = [0.0001] +[2024-05-24 12:36:12,123] - INFO: Epoch 5982/9999, Iter 299080: Loss = 0.016038723289966583, lr = [0.0001] +[2024-05-24 12:36:40,599] - INFO: Epoch 5983/9999, Iter 299100: Loss = 0.014913284219801426, lr = [0.0001] +[2024-05-24 12:37:08,611] - INFO: Epoch 5983/9999, Iter 299120: Loss = 0.009993713349103928, lr = [0.0001] +[2024-05-24 12:37:35,549] - INFO: Epoch 5983/9999, Iter 299140: Loss = 0.011066565290093422, lr = [0.0001] +[2024-05-24 12:38:04,887] - INFO: Epoch 5984/9999, Iter 299160: Loss = 0.009853861294686794, lr = [0.0001] +[2024-05-24 12:38:32,959] - INFO: Epoch 5984/9999, Iter 299180: Loss = 0.020572129637002945, lr = [0.0001] +[2024-05-24 12:39:01,737] - INFO: Epoch 5985/9999, Iter 299200: Loss = 0.010993044823408127, lr = [0.0001] +[2024-05-24 12:39:28,867] - INFO: Epoch 5985/9999, Iter 299220: Loss = 0.016601650044322014, lr = [0.0001] +[2024-05-24 12:39:57,215] - INFO: Epoch 5985/9999, Iter 299240: Loss = 0.011871631257236004, lr = [0.0001] +[2024-05-24 12:40:09,856] - INFO: Evaluate at epoch 5985! +[2024-05-24 12:40:13,977] - INFO: Eval PSNR (max): 38.041 (5620) SSIM (max): 0.9611 (5335) +[2024-05-24 12:40:13,977] - INFO: Eval PSNR (current): 37.920 (5985) SSIM (current): 0.9605 (5985) +[2024-05-24 12:40:13,977] - INFO: Evaluation over. +[2024-05-24 12:40:31,847] - INFO: Epoch 5986/9999, Iter 299260: Loss = 0.02119920589029789, lr = [0.0001] +[2024-05-24 12:40:58,983] - INFO: Epoch 5986/9999, Iter 299280: Loss = 0.011201057583093643, lr = [0.0001] +[2024-05-24 12:41:27,931] - INFO: Epoch 5987/9999, Iter 299300: Loss = 0.01684345118701458, lr = [0.0001] +[2024-05-24 12:41:55,219] - INFO: Epoch 5987/9999, Iter 299320: Loss = 0.01672046072781086, lr = [0.0001] +[2024-05-24 12:42:21,713] - INFO: Epoch 5987/9999, Iter 299340: Loss = 0.0164310522377491, lr = [0.0001] +[2024-05-24 12:42:50,768] - INFO: Epoch 5988/9999, Iter 299360: Loss = 0.015682479366660118, lr = [0.0001] +[2024-05-24 12:43:18,848] - INFO: Epoch 5988/9999, Iter 299380: Loss = 0.012135368771851063, lr = [0.0001] +[2024-05-24 12:43:47,459] - INFO: Epoch 5989/9999, Iter 299400: Loss = 0.014446676708757877, lr = [0.0001] +[2024-05-24 12:44:16,097] - INFO: Epoch 5989/9999, Iter 299420: Loss = 0.016539713367819786, lr = [0.0001] +[2024-05-24 12:44:44,165] - INFO: Epoch 5989/9999, Iter 299440: Loss = 0.009264065884053707, lr = [0.0001] +[2024-05-24 12:45:12,239] - INFO: Epoch 5990/9999, Iter 299460: Loss = 0.010916907340288162, lr = [0.0001] +[2024-05-24 12:45:39,387] - INFO: Epoch 5990/9999, Iter 299480: Loss = 0.014089871197938919, lr = [0.0001] +[2024-05-24 12:46:05,222] - INFO: Evaluate at epoch 5990! +[2024-05-24 12:46:09,349] - INFO: Eval PSNR (max): 38.041 (5620) SSIM (max): 0.9611 (5335) +[2024-05-24 12:46:09,349] - INFO: Eval PSNR (current): 37.884 (5990) SSIM (current): 0.9607 (5990) +[2024-05-24 12:46:09,349] - INFO: Evaluation over. +[2024-05-24 12:46:14,107] - INFO: Epoch 5991/9999, Iter 299500: Loss = 0.016896149143576622, lr = [0.0001] +[2024-05-24 12:46:42,525] - INFO: Epoch 5991/9999, Iter 299520: Loss = 0.010292275808751583, lr = [0.0001] +[2024-05-24 12:47:10,519] - INFO: Epoch 5991/9999, Iter 299540: Loss = 0.011712363921105862, lr = [0.0001] +[2024-05-24 12:47:39,501] - INFO: Epoch 5992/9999, Iter 299560: Loss = 0.015156556852161884, lr = [0.0001] +[2024-05-24 12:48:07,227] - INFO: Epoch 5992/9999, Iter 299580: Loss = 0.018075093626976013, lr = [0.0001] +[2024-05-24 12:48:35,377] - INFO: Epoch 5993/9999, Iter 299600: Loss = 0.01506758201867342, lr = [0.0001] +[2024-05-24 12:49:03,574] - INFO: Epoch 5993/9999, Iter 299620: Loss = 0.010994700714945793, lr = [0.0001] +[2024-05-24 12:49:32,091] - INFO: Epoch 5993/9999, Iter 299640: Loss = 0.01604931429028511, lr = [0.0001] +[2024-05-24 12:50:00,536] - INFO: Epoch 5994/9999, Iter 299660: Loss = 0.013073497451841831, lr = [0.0001] +[2024-05-24 12:50:28,607] - INFO: Epoch 5994/9999, Iter 299680: Loss = 0.01467126328498125, lr = [0.0001] +[2024-05-24 12:50:57,532] - INFO: Epoch 5995/9999, Iter 299700: Loss = 0.009217564016580582, lr = [0.0001] +[2024-05-24 12:51:25,587] - INFO: Epoch 5995/9999, Iter 299720: Loss = 0.019901324063539505, lr = [0.0001] +[2024-05-24 12:51:52,833] - INFO: Epoch 5995/9999, Iter 299740: Loss = 0.009736299514770508, lr = [0.0001] +[2024-05-24 12:52:04,616] - INFO: Evaluate at epoch 5995! +[2024-05-24 12:52:08,720] - INFO: Eval PSNR (max): 38.041 (5620) SSIM (max): 0.9611 (5335) +[2024-05-24 12:52:08,721] - INFO: Eval PSNR (current): 37.956 (5995) SSIM (current): 0.9607 (5995) +[2024-05-24 12:52:08,721] - INFO: Evaluation over. +[2024-05-24 12:52:27,883] - INFO: Epoch 5996/9999, Iter 299760: Loss = 0.01303844153881073, lr = [0.0001] +[2024-05-24 12:52:54,732] - INFO: Epoch 5996/9999, Iter 299780: Loss = 0.01182581577450037, lr = [0.0001] +[2024-05-24 12:53:24,491] - INFO: Epoch 5997/9999, Iter 299800: Loss = 0.020740969106554985, lr = [0.0001] +[2024-05-24 12:53:51,703] - INFO: Epoch 5997/9999, Iter 299820: Loss = 0.007612386718392372, lr = [0.0001] +[2024-05-24 12:54:18,843] - INFO: Epoch 5997/9999, Iter 299840: Loss = 0.02179596573114395, lr = [0.0001] +[2024-05-24 12:54:46,947] - INFO: Epoch 5998/9999, Iter 299860: Loss = 0.008848254568874836, lr = [0.0001] +[2024-05-24 12:55:14,534] - INFO: Epoch 5998/9999, Iter 299880: Loss = 0.012955317273736, lr = [0.0001] +[2024-05-24 12:55:42,806] - INFO: Epoch 5999/9999, Iter 299900: Loss = 0.014250515028834343, lr = [0.0001] +[2024-05-24 12:56:11,256] - INFO: Epoch 5999/9999, Iter 299920: Loss = 0.01357177458703518, lr = [0.0001] +[2024-05-24 12:56:39,115] - INFO: Epoch 5999/9999, Iter 299940: Loss = 0.010490027256309986, lr = [0.0001] +[2024-05-24 12:57:08,758] - INFO: Epoch 6000/9999, Iter 299960: Loss = 0.011333741247653961, lr = [5e-05] +[2024-05-24 12:57:36,983] - INFO: Epoch 6000/9999, Iter 299980: Loss = 0.011305863037705421, lr = [5e-05] +[2024-05-24 12:58:03,050] - INFO: Evaluate at epoch 6000! +[2024-05-24 12:58:07,161] - INFO: Eval PSNR (max): 38.041 (5620) SSIM (max): 0.9611 (5335) +[2024-05-24 12:58:07,162] - INFO: Eval PSNR (current): 38.004 (6000) SSIM (current): 0.9608 (6000) +[2024-05-24 12:58:07,162] - INFO: Evaluation over. +[2024-05-24 12:58:11,793] - INFO: Epoch 6001/9999, Iter 300000: Loss = 0.012605284340679646, lr = [5e-05] +[2024-05-24 12:58:40,375] - INFO: Epoch 6001/9999, Iter 300020: Loss = 0.014726174995303154, lr = [5e-05] +[2024-05-24 12:59:08,266] - INFO: Epoch 6001/9999, Iter 300040: Loss = 0.015470404177904129, lr = [5e-05] +[2024-05-24 12:59:37,169] - INFO: Epoch 6002/9999, Iter 300060: Loss = 0.01029456127434969, lr = [5e-05] +[2024-05-24 13:00:05,366] - INFO: Epoch 6002/9999, Iter 300080: Loss = 0.015454660169780254, lr = [5e-05] +[2024-05-24 13:00:34,423] - INFO: Epoch 6003/9999, Iter 300100: Loss = 0.012277093715965748, lr = [5e-05] +[2024-05-24 13:01:01,725] - INFO: Epoch 6003/9999, Iter 300120: Loss = 0.010719231329858303, lr = [5e-05] +[2024-05-24 13:01:30,079] - INFO: Epoch 6003/9999, Iter 300140: Loss = 0.01058212947100401, lr = [5e-05] +[2024-05-24 13:01:57,913] - INFO: Epoch 6004/9999, Iter 300160: Loss = 0.013967202045023441, lr = [5e-05] +[2024-05-24 13:02:25,928] - INFO: Epoch 6004/9999, Iter 300180: Loss = 0.011417267844080925, lr = [5e-05] +[2024-05-24 13:02:55,464] - INFO: Epoch 6005/9999, Iter 300200: Loss = 0.015382607467472553, lr = [5e-05] +[2024-05-24 13:03:23,846] - INFO: Epoch 6005/9999, Iter 300220: Loss = 0.01329087559133768, lr = [5e-05] +[2024-05-24 13:03:51,227] - INFO: Epoch 6005/9999, Iter 300240: Loss = 0.010342543013393879, lr = [5e-05] +[2024-05-24 13:04:03,392] - INFO: Evaluate at epoch 6005! +[2024-05-24 13:04:07,510] - INFO: Eval PSNR (max): 38.041 (5620) SSIM (max): 0.9611 (5335) +[2024-05-24 13:04:07,510] - INFO: Eval PSNR (current): 38.016 (6005) SSIM (current): 0.9608 (6005) +[2024-05-24 13:04:07,510] - INFO: Evaluation over. +[2024-05-24 13:04:25,850] - INFO: Epoch 6006/9999, Iter 300260: Loss = 0.012866728939116001, lr = [5e-05] +[2024-05-24 13:04:53,024] - INFO: Epoch 6006/9999, Iter 300280: Loss = 0.008732544258236885, lr = [5e-05] +[2024-05-24 13:05:21,421] - INFO: Epoch 6007/9999, Iter 300300: Loss = 0.010690771043300629, lr = [5e-05] +[2024-05-24 13:05:49,055] - INFO: Epoch 6007/9999, Iter 300320: Loss = 0.014080390334129333, lr = [5e-05] +[2024-05-24 13:06:16,489] - INFO: Epoch 6007/9999, Iter 300340: Loss = 0.013989430852234364, lr = [5e-05] +[2024-05-24 13:06:45,342] - INFO: Epoch 6008/9999, Iter 300360: Loss = 0.012876039370894432, lr = [5e-05] +[2024-05-24 13:07:12,251] - INFO: Epoch 6008/9999, Iter 300380: Loss = 0.01531175710260868, lr = [5e-05] +[2024-05-24 13:07:41,192] - INFO: Epoch 6009/9999, Iter 300400: Loss = 0.01872418075799942, lr = [5e-05] +[2024-05-24 13:08:08,188] - INFO: Epoch 6009/9999, Iter 300420: Loss = 0.007616368588060141, lr = [5e-05] +[2024-05-24 13:08:34,868] - INFO: Epoch 6009/9999, Iter 300440: Loss = 0.013644110411405563, lr = [5e-05] +[2024-05-24 13:09:03,079] - INFO: Epoch 6010/9999, Iter 300460: Loss = 0.011305778287351131, lr = [5e-05] +[2024-05-24 13:09:30,643] - INFO: Epoch 6010/9999, Iter 300480: Loss = 0.0132506238296628, lr = [5e-05] +[2024-05-24 13:09:57,246] - INFO: Evaluate at epoch 6010! +[2024-05-24 13:10:01,360] - INFO: Eval PSNR (max): 38.041 (5620) SSIM (max): 0.9611 (5335) +[2024-05-24 13:10:01,360] - INFO: Eval PSNR (current): 38.024 (6010) SSIM (current): 0.9609 (6010) +[2024-05-24 13:10:01,360] - INFO: Evaluation over. +[2024-05-24 13:10:05,927] - INFO: Epoch 6011/9999, Iter 300500: Loss = 0.01986977644264698, lr = [5e-05] +[2024-05-24 13:10:32,706] - INFO: Epoch 6011/9999, Iter 300520: Loss = 0.009794739075005054, lr = [5e-05] +[2024-05-24 13:11:00,182] - INFO: Epoch 6011/9999, Iter 300540: Loss = 0.015219145454466343, lr = [5e-05] +[2024-05-24 13:11:29,368] - INFO: Epoch 6012/9999, Iter 300560: Loss = 0.012515533715486526, lr = [5e-05] +[2024-05-24 13:11:57,507] - INFO: Epoch 6012/9999, Iter 300580: Loss = 0.01423947885632515, lr = [5e-05] +[2024-05-24 13:12:26,577] - INFO: Epoch 6013/9999, Iter 300600: Loss = 0.01283994410187006, lr = [5e-05] +[2024-05-24 13:12:54,996] - INFO: Epoch 6013/9999, Iter 300620: Loss = 0.01704484038054943, lr = [5e-05] +[2024-05-24 13:13:22,651] - INFO: Epoch 6013/9999, Iter 300640: Loss = 0.010637314058840275, lr = [5e-05] +[2024-05-24 13:13:51,262] - INFO: Epoch 6014/9999, Iter 300660: Loss = 0.010867537930607796, lr = [5e-05] +[2024-05-24 13:14:19,315] - INFO: Epoch 6014/9999, Iter 300680: Loss = 0.016509737819433212, lr = [5e-05] +[2024-05-24 13:14:48,787] - INFO: Epoch 6015/9999, Iter 300700: Loss = 0.009699617512524128, lr = [5e-05] +[2024-05-24 13:15:16,095] - INFO: Epoch 6015/9999, Iter 300720: Loss = 0.013835337944328785, lr = [5e-05] +[2024-05-24 13:15:44,335] - INFO: Epoch 6015/9999, Iter 300740: Loss = 0.00909928884357214, lr = [5e-05] +[2024-05-24 13:15:57,138] - INFO: Evaluate at epoch 6015! +[2024-05-24 13:16:01,252] - INFO: Eval PSNR (max): 38.041 (5620) SSIM (max): 0.9611 (5335) +[2024-05-24 13:16:01,252] - INFO: Eval PSNR (current): 38.007 (6015) SSIM (current): 0.9609 (6015) +[2024-05-24 13:16:01,252] - INFO: Evaluation over. +[2024-05-24 13:16:20,455] - INFO: Epoch 6016/9999, Iter 300760: Loss = 0.01398511417210102, lr = [5e-05] +[2024-05-24 13:16:47,911] - INFO: Epoch 6016/9999, Iter 300780: Loss = 0.014170092530548573, lr = [5e-05] +[2024-05-24 13:17:16,976] - INFO: Epoch 6017/9999, Iter 300800: Loss = 0.011038224212825298, lr = [5e-05] +[2024-05-24 13:17:44,434] - INFO: Epoch 6017/9999, Iter 300820: Loss = 0.013942833058536053, lr = [5e-05] +[2024-05-24 13:18:12,195] - INFO: Epoch 6017/9999, Iter 300840: Loss = 0.012341722846031189, lr = [5e-05] +[2024-05-24 13:18:41,563] - INFO: Epoch 6018/9999, Iter 300860: Loss = 0.010455136187374592, lr = [5e-05] +[2024-05-24 13:19:09,133] - INFO: Epoch 6018/9999, Iter 300880: Loss = 0.012534629553556442, lr = [5e-05] +[2024-05-24 13:19:37,956] - INFO: Epoch 6019/9999, Iter 300900: Loss = 0.013397552073001862, lr = [5e-05] +[2024-05-24 13:20:05,671] - INFO: Epoch 6019/9999, Iter 300920: Loss = 0.008146044798195362, lr = [5e-05] +[2024-05-24 13:20:33,326] - INFO: Epoch 6019/9999, Iter 300940: Loss = 0.007984141819179058, lr = [5e-05] +[2024-05-24 13:21:01,754] - INFO: Epoch 6020/9999, Iter 300960: Loss = 0.010675225406885147, lr = [5e-05] +[2024-05-24 13:21:28,200] - INFO: Epoch 6020/9999, Iter 300980: Loss = 0.012800417840480804, lr = [5e-05] +[2024-05-24 13:21:54,306] - INFO: Evaluate at epoch 6020! +[2024-05-24 13:21:58,426] - INFO: Eval PSNR (max): 38.041 (5620) SSIM (max): 0.9611 (5335) +[2024-05-24 13:21:58,426] - INFO: Eval PSNR (current): 38.007 (6020) SSIM (current): 0.9609 (6020) +[2024-05-24 13:21:58,426] - INFO: Evaluation over. +[2024-05-24 13:22:02,862] - INFO: Epoch 6021/9999, Iter 301000: Loss = 0.011292600072920322, lr = [5e-05] +[2024-05-24 13:22:31,077] - INFO: Epoch 6021/9999, Iter 301020: Loss = 0.008165189996361732, lr = [5e-05] +[2024-05-24 13:22:58,322] - INFO: Epoch 6021/9999, Iter 301040: Loss = 0.014147884212434292, lr = [5e-05] +[2024-05-24 13:23:28,004] - INFO: Epoch 6022/9999, Iter 301060: Loss = 0.011406052857637405, lr = [5e-05] +[2024-05-24 13:23:55,807] - INFO: Epoch 6022/9999, Iter 301080: Loss = 0.010800435207784176, lr = [5e-05] +[2024-05-24 13:24:24,660] - INFO: Epoch 6023/9999, Iter 301100: Loss = 0.012422566302120686, lr = [5e-05] +[2024-05-24 13:24:52,171] - INFO: Epoch 6023/9999, Iter 301120: Loss = 0.008998881094157696, lr = [5e-05] +[2024-05-24 13:25:20,333] - INFO: Epoch 6023/9999, Iter 301140: Loss = 0.0110477264970541, lr = [5e-05] +[2024-05-24 13:25:49,503] - INFO: Epoch 6024/9999, Iter 301160: Loss = 0.020567549392580986, lr = [5e-05] +[2024-05-24 13:26:17,123] - INFO: Epoch 6024/9999, Iter 301180: Loss = 0.0147174671292305, lr = [5e-05] +[2024-05-24 13:26:46,535] - INFO: Epoch 6025/9999, Iter 301200: Loss = 0.013328206725418568, lr = [5e-05] +[2024-05-24 13:27:13,107] - INFO: Epoch 6025/9999, Iter 301220: Loss = 0.011091464199125767, lr = [5e-05] +[2024-05-24 13:27:40,283] - INFO: Epoch 6025/9999, Iter 301240: Loss = 0.011211264878511429, lr = [5e-05] +[2024-05-24 13:27:52,763] - INFO: Evaluate at epoch 6025! +[2024-05-24 13:27:56,878] - INFO: Eval PSNR (max): 38.041 (5620) SSIM (max): 0.9611 (5335) +[2024-05-24 13:27:56,879] - INFO: Eval PSNR (current): 37.999 (6025) SSIM (current): 0.9609 (6025) +[2024-05-24 13:27:56,879] - INFO: Evaluation over. +[2024-05-24 13:28:15,691] - INFO: Epoch 6026/9999, Iter 301260: Loss = 0.009886716492474079, lr = [5e-05] +[2024-05-24 13:28:43,764] - INFO: Epoch 6026/9999, Iter 301280: Loss = 0.01502534281462431, lr = [5e-05] +[2024-05-24 13:29:12,783] - INFO: Epoch 6027/9999, Iter 301300: Loss = 0.008936403319239616, lr = [5e-05] +[2024-05-24 13:29:40,357] - INFO: Epoch 6027/9999, Iter 301320: Loss = 0.008494378067553043, lr = [5e-05] +[2024-05-24 13:30:08,765] - INFO: Epoch 6027/9999, Iter 301340: Loss = 0.008476018905639648, lr = [5e-05] +[2024-05-24 13:30:38,363] - INFO: Epoch 6028/9999, Iter 301360: Loss = 0.00912964902818203, lr = [5e-05] +[2024-05-24 13:31:06,866] - INFO: Epoch 6028/9999, Iter 301380: Loss = 0.013129180297255516, lr = [5e-05] +[2024-05-24 13:31:34,422] - INFO: Epoch 6029/9999, Iter 301400: Loss = 0.011838513426482677, lr = [5e-05] +[2024-05-24 13:32:02,184] - INFO: Epoch 6029/9999, Iter 301420: Loss = 0.008182859979569912, lr = [5e-05] +[2024-05-24 13:32:28,835] - INFO: Epoch 6029/9999, Iter 301440: Loss = 0.017389358952641487, lr = [5e-05] +[2024-05-24 13:32:57,723] - INFO: Epoch 6030/9999, Iter 301460: Loss = 0.01702282205224037, lr = [5e-05] +[2024-05-24 13:33:26,178] - INFO: Epoch 6030/9999, Iter 301480: Loss = 0.0111868130043149, lr = [5e-05] +[2024-05-24 13:33:51,672] - INFO: Evaluate at epoch 6030! +[2024-05-24 13:33:55,797] - INFO: Eval PSNR (max): 38.041 (5620) SSIM (max): 0.9611 (5335) +[2024-05-24 13:33:55,797] - INFO: Eval PSNR (current): 38.008 (6030) SSIM (current): 0.9609 (6030) +[2024-05-24 13:33:55,797] - INFO: Evaluation over. +[2024-05-24 13:34:00,159] - INFO: Epoch 6031/9999, Iter 301500: Loss = 0.01272917166352272, lr = [5e-05] +[2024-05-24 13:34:29,267] - INFO: Epoch 6031/9999, Iter 301520: Loss = 0.011644016951322556, lr = [5e-05] +[2024-05-24 13:34:56,595] - INFO: Epoch 6031/9999, Iter 301540: Loss = 0.011789088137447834, lr = [5e-05] +[2024-05-24 13:35:23,811] - INFO: Epoch 6032/9999, Iter 301560: Loss = 0.012389994226396084, lr = [5e-05] +[2024-05-24 13:35:51,485] - INFO: Epoch 6032/9999, Iter 301580: Loss = 0.01176812220364809, lr = [5e-05] +[2024-05-24 13:36:19,951] - INFO: Epoch 6033/9999, Iter 301600: Loss = 0.008380580693483353, lr = [5e-05] +[2024-05-24 13:36:47,619] - INFO: Epoch 6033/9999, Iter 301620: Loss = 0.018261928111314774, lr = [5e-05] +[2024-05-24 13:37:15,180] - INFO: Epoch 6033/9999, Iter 301640: Loss = 0.014280211180448532, lr = [5e-05] +[2024-05-24 13:37:43,971] - INFO: Epoch 6034/9999, Iter 301660: Loss = 0.011674350127577782, lr = [5e-05] +[2024-05-24 13:38:11,078] - INFO: Epoch 6034/9999, Iter 301680: Loss = 0.018924159929156303, lr = [5e-05] +[2024-05-24 13:38:39,743] - INFO: Epoch 6035/9999, Iter 301700: Loss = 0.012498895637691021, lr = [5e-05] +[2024-05-24 13:39:08,095] - INFO: Epoch 6035/9999, Iter 301720: Loss = 0.013883741572499275, lr = [5e-05] +[2024-05-24 13:39:35,846] - INFO: Epoch 6035/9999, Iter 301740: Loss = 0.0194399356842041, lr = [5e-05] +[2024-05-24 13:39:48,158] - INFO: Evaluate at epoch 6035! +[2024-05-24 13:39:52,289] - INFO: Eval PSNR (max): 38.041 (5620) SSIM (max): 0.9611 (5335) +[2024-05-24 13:39:52,289] - INFO: Eval PSNR (current): 38.023 (6035) SSIM (current): 0.9609 (6035) +[2024-05-24 13:39:52,289] - INFO: Evaluation over. +[2024-05-24 13:40:11,792] - INFO: Epoch 6036/9999, Iter 301760: Loss = 0.015039896592497826, lr = [5e-05] +[2024-05-24 13:40:39,594] - INFO: Epoch 6036/9999, Iter 301780: Loss = 0.01452731341123581, lr = [5e-05] +[2024-05-24 13:41:08,396] - INFO: Epoch 6037/9999, Iter 301800: Loss = 0.020141541957855225, lr = [5e-05] +[2024-05-24 13:41:37,020] - INFO: Epoch 6037/9999, Iter 301820: Loss = 0.013318106532096863, lr = [5e-05] +[2024-05-24 13:42:04,475] - INFO: Epoch 6037/9999, Iter 301840: Loss = 0.009340641088783741, lr = [5e-05] +[2024-05-24 13:42:33,451] - INFO: Epoch 6038/9999, Iter 301860: Loss = 0.014581911265850067, lr = [5e-05] +[2024-05-24 13:43:01,193] - INFO: Epoch 6038/9999, Iter 301880: Loss = 0.011530094780027866, lr = [5e-05] +[2024-05-24 13:43:29,728] - INFO: Epoch 6039/9999, Iter 301900: Loss = 0.005430369637906551, lr = [5e-05] +[2024-05-24 13:43:56,483] - INFO: Epoch 6039/9999, Iter 301920: Loss = 0.011015946976840496, lr = [5e-05] +[2024-05-24 13:44:25,035] - INFO: Epoch 6039/9999, Iter 301940: Loss = 0.012317082844674587, lr = [5e-05] +[2024-05-24 13:44:54,255] - INFO: Epoch 6040/9999, Iter 301960: Loss = 0.01798652857542038, lr = [5e-05] +[2024-05-24 13:45:20,904] - INFO: Epoch 6040/9999, Iter 301980: Loss = 0.013980663381516933, lr = [5e-05] +[2024-05-24 13:45:47,114] - INFO: Evaluate at epoch 6040! +[2024-05-24 13:45:51,255] - INFO: Eval PSNR (max): 38.041 (5620) SSIM (max): 0.9611 (5335) +[2024-05-24 13:45:51,255] - INFO: Eval PSNR (current): 38.021 (6040) SSIM (current): 0.9609 (6040) +[2024-05-24 13:45:51,255] - INFO: Evaluation over. +[2024-05-24 13:45:56,060] - INFO: Epoch 6041/9999, Iter 302000: Loss = 0.013072877191007137, lr = [5e-05] +[2024-05-24 13:46:24,021] - INFO: Epoch 6041/9999, Iter 302020: Loss = 0.013573572039604187, lr = [5e-05] +[2024-05-24 13:46:52,004] - INFO: Epoch 6041/9999, Iter 302040: Loss = 0.016704991459846497, lr = [5e-05] +[2024-05-24 13:47:20,701] - INFO: Epoch 6042/9999, Iter 302060: Loss = 0.011752135120332241, lr = [5e-05] +[2024-05-24 13:47:49,315] - INFO: Epoch 6042/9999, Iter 302080: Loss = 0.008143291808664799, lr = [5e-05] +[2024-05-24 13:48:18,091] - INFO: Epoch 6043/9999, Iter 302100: Loss = 0.01851629465818405, lr = [5e-05] +[2024-05-24 13:48:45,447] - INFO: Epoch 6043/9999, Iter 302120: Loss = 0.009765954688191414, lr = [5e-05] +[2024-05-24 13:49:13,377] - INFO: Epoch 6043/9999, Iter 302140: Loss = 0.013106079772114754, lr = [5e-05] +[2024-05-24 13:49:41,974] - INFO: Epoch 6044/9999, Iter 302160: Loss = 0.0101076764985919, lr = [5e-05] +[2024-05-24 13:50:10,300] - INFO: Epoch 6044/9999, Iter 302180: Loss = 0.012606324627995491, lr = [5e-05] +[2024-05-24 13:50:39,371] - INFO: Epoch 6045/9999, Iter 302200: Loss = 0.01237332634627819, lr = [5e-05] +[2024-05-24 13:51:06,755] - INFO: Epoch 6045/9999, Iter 302220: Loss = 0.011649858206510544, lr = [5e-05] +[2024-05-24 13:51:33,823] - INFO: Epoch 6045/9999, Iter 302240: Loss = 0.01061126496642828, lr = [5e-05] +[2024-05-24 13:51:46,433] - INFO: Evaluate at epoch 6045! +[2024-05-24 13:51:50,577] - INFO: Eval PSNR (max): 38.041 (5620) SSIM (max): 0.9611 (5335) +[2024-05-24 13:51:50,577] - INFO: Eval PSNR (current): 38.023 (6045) SSIM (current): 0.9609 (6045) +[2024-05-24 13:51:50,577] - INFO: Evaluation over. +[2024-05-24 13:52:09,591] - INFO: Epoch 6046/9999, Iter 302260: Loss = 0.006995636038482189, lr = [5e-05] +[2024-05-24 13:52:37,779] - INFO: Epoch 6046/9999, Iter 302280: Loss = 0.01486856397241354, lr = [5e-05] +[2024-05-24 13:53:06,519] - INFO: Epoch 6047/9999, Iter 302300: Loss = 0.01003864873200655, lr = [5e-05] +[2024-05-24 13:53:33,793] - INFO: Epoch 6047/9999, Iter 302320: Loss = 0.012793755158782005, lr = [5e-05] +[2024-05-24 13:54:00,594] - INFO: Epoch 6047/9999, Iter 302340: Loss = 0.011750446632504463, lr = [5e-05] +[2024-05-24 13:54:29,961] - INFO: Epoch 6048/9999, Iter 302360: Loss = 0.021969029679894447, lr = [5e-05] +[2024-05-24 13:54:57,023] - INFO: Epoch 6048/9999, Iter 302380: Loss = 0.014327511191368103, lr = [5e-05] +[2024-05-24 13:55:26,410] - INFO: Epoch 6049/9999, Iter 302400: Loss = 0.008634515106678009, lr = [5e-05] +[2024-05-24 13:55:54,631] - INFO: Epoch 6049/9999, Iter 302420: Loss = 0.01596037484705448, lr = [5e-05] +[2024-05-24 13:56:23,142] - INFO: Epoch 6049/9999, Iter 302440: Loss = 0.013018030673265457, lr = [5e-05] +[2024-05-24 13:56:51,250] - INFO: Epoch 6050/9999, Iter 302460: Loss = 0.012605557218194008, lr = [5e-05] +[2024-05-24 13:57:19,411] - INFO: Epoch 6050/9999, Iter 302480: Loss = 0.011428778059780598, lr = [5e-05] +[2024-05-24 13:57:45,860] - INFO: Evaluate at epoch 6050! +[2024-05-24 13:57:50,002] - INFO: Eval PSNR (max): 38.041 (5620) SSIM (max): 0.9611 (5335) +[2024-05-24 13:57:50,002] - INFO: Eval PSNR (current): 38.018 (6050) SSIM (current): 0.9609 (6050) +[2024-05-24 13:57:50,002] - INFO: Evaluation over. +[2024-05-24 13:57:54,690] - INFO: Epoch 6051/9999, Iter 302500: Loss = 0.013804709538817406, lr = [5e-05] +[2024-05-24 13:58:22,119] - INFO: Epoch 6051/9999, Iter 302520: Loss = 0.013784456998109818, lr = [5e-05] +[2024-05-24 13:58:48,655] - INFO: Epoch 6051/9999, Iter 302540: Loss = 0.016193272545933723, lr = [5e-05] +[2024-05-24 13:59:18,275] - INFO: Epoch 6052/9999, Iter 302560: Loss = 0.01700003445148468, lr = [5e-05] +[2024-05-24 13:59:46,584] - INFO: Epoch 6052/9999, Iter 302580: Loss = 0.008113821037113667, lr = [5e-05] +[2024-05-24 14:00:15,288] - INFO: Epoch 6053/9999, Iter 302600: Loss = 0.013037639670073986, lr = [5e-05] +[2024-05-24 14:00:43,491] - INFO: Epoch 6053/9999, Iter 302620: Loss = 0.012650812044739723, lr = [5e-05] +[2024-05-24 14:01:10,703] - INFO: Epoch 6053/9999, Iter 302640: Loss = 0.014161674305796623, lr = [5e-05] +[2024-05-24 14:01:39,995] - INFO: Epoch 6054/9999, Iter 302660: Loss = 0.012397137470543385, lr = [5e-05] +[2024-05-24 14:02:08,603] - INFO: Epoch 6054/9999, Iter 302680: Loss = 0.011442262679338455, lr = [5e-05] +[2024-05-24 14:02:37,560] - INFO: Epoch 6055/9999, Iter 302700: Loss = 0.013330504298210144, lr = [5e-05] +[2024-05-24 14:03:05,451] - INFO: Epoch 6055/9999, Iter 302720: Loss = 0.012780389748513699, lr = [5e-05] +[2024-05-24 14:03:33,823] - INFO: Epoch 6055/9999, Iter 302740: Loss = 0.014731776900589466, lr = [5e-05] +[2024-05-24 14:03:45,634] - INFO: Evaluate at epoch 6055! +[2024-05-24 14:03:49,754] - INFO: Eval PSNR (max): 38.041 (5620) SSIM (max): 0.9611 (5335) +[2024-05-24 14:03:49,754] - INFO: Eval PSNR (current): 38.000 (6055) SSIM (current): 0.9607 (6055) +[2024-05-24 14:03:49,754] - INFO: Evaluation over. +[2024-05-24 14:04:07,675] - INFO: Epoch 6056/9999, Iter 302760: Loss = 0.00940795335918665, lr = [5e-05] +[2024-05-24 14:04:35,371] - INFO: Epoch 6056/9999, Iter 302780: Loss = 0.011464515700936317, lr = [5e-05] +[2024-05-24 14:05:04,142] - INFO: Epoch 6057/9999, Iter 302800: Loss = 0.011484162881970406, lr = [5e-05] +[2024-05-24 14:05:33,296] - INFO: Epoch 6057/9999, Iter 302820: Loss = 0.009273791685700417, lr = [5e-05] +[2024-05-24 14:06:00,364] - INFO: Epoch 6057/9999, Iter 302840: Loss = 0.01511932723224163, lr = [5e-05] +[2024-05-24 14:06:29,027] - INFO: Epoch 6058/9999, Iter 302860: Loss = 0.008721766993403435, lr = [5e-05] +[2024-05-24 14:06:56,385] - INFO: Epoch 6058/9999, Iter 302880: Loss = 0.0120459645986557, lr = [5e-05] +[2024-05-24 14:07:25,803] - INFO: Epoch 6059/9999, Iter 302900: Loss = 0.01635074056684971, lr = [5e-05] +[2024-05-24 14:07:52,887] - INFO: Epoch 6059/9999, Iter 302920: Loss = 0.010136140510439873, lr = [5e-05] +[2024-05-24 14:08:20,662] - INFO: Epoch 6059/9999, Iter 302940: Loss = 0.01235873531550169, lr = [5e-05] +[2024-05-24 14:08:49,927] - INFO: Epoch 6060/9999, Iter 302960: Loss = 0.011665940284729004, lr = [5e-05] +[2024-05-24 14:09:17,871] - INFO: Epoch 6060/9999, Iter 302980: Loss = 0.010317693464457989, lr = [5e-05] +[2024-05-24 14:09:44,012] - INFO: Evaluate at epoch 6060! +[2024-05-24 14:09:48,138] - INFO: Eval PSNR (max): 38.041 (5620) SSIM (max): 0.9611 (5335) +[2024-05-24 14:09:48,138] - INFO: Eval PSNR (current): 37.986 (6060) SSIM (current): 0.9607 (6060) +[2024-05-24 14:09:48,138] - INFO: Evaluation over. +[2024-05-24 14:09:52,780] - INFO: Epoch 6061/9999, Iter 303000: Loss = 0.016087433323264122, lr = [5e-05] +[2024-05-24 14:10:20,233] - INFO: Epoch 6061/9999, Iter 303020: Loss = 0.010675672441720963, lr = [5e-05] +[2024-05-24 14:10:47,669] - INFO: Epoch 6061/9999, Iter 303040: Loss = 0.010904192924499512, lr = [5e-05] +[2024-05-24 14:11:16,849] - INFO: Epoch 6062/9999, Iter 303060: Loss = 0.01630646176636219, lr = [5e-05] +[2024-05-24 14:11:44,716] - INFO: Epoch 6062/9999, Iter 303080: Loss = 0.016317881643772125, lr = [5e-05] +[2024-05-24 14:12:14,116] - INFO: Epoch 6063/9999, Iter 303100: Loss = 0.014700781553983688, lr = [5e-05] +[2024-05-24 14:12:42,254] - INFO: Epoch 6063/9999, Iter 303120: Loss = 0.012985752895474434, lr = [5e-05] +[2024-05-24 14:13:10,615] - INFO: Epoch 6063/9999, Iter 303140: Loss = 0.008524945937097073, lr = [5e-05] +[2024-05-24 14:13:39,263] - INFO: Epoch 6064/9999, Iter 303160: Loss = 0.01967441663146019, lr = [5e-05] +[2024-05-24 14:14:07,395] - INFO: Epoch 6064/9999, Iter 303180: Loss = 0.008829585276544094, lr = [5e-05] +[2024-05-24 14:14:36,035] - INFO: Epoch 6065/9999, Iter 303200: Loss = 0.012828327715396881, lr = [5e-05] +[2024-05-24 14:15:03,249] - INFO: Epoch 6065/9999, Iter 303220: Loss = 0.011962790042161942, lr = [5e-05] +[2024-05-24 14:15:29,988] - INFO: Epoch 6065/9999, Iter 303240: Loss = 0.012075445614755154, lr = [5e-05] +[2024-05-24 14:15:42,388] - INFO: Evaluate at epoch 6065! +[2024-05-24 14:15:46,503] - INFO: Eval PSNR (max): 38.041 (5620) SSIM (max): 0.9611 (5335) +[2024-05-24 14:15:46,503] - INFO: Eval PSNR (current): 38.030 (6065) SSIM (current): 0.9608 (6065) +[2024-05-24 14:15:46,503] - INFO: Evaluation over. +[2024-05-24 14:16:05,048] - INFO: Epoch 6066/9999, Iter 303260: Loss = 0.01382362749427557, lr = [5e-05] +[2024-05-24 14:16:32,068] - INFO: Epoch 6066/9999, Iter 303280: Loss = 0.011078017763793468, lr = [5e-05] +[2024-05-24 14:17:01,266] - INFO: Epoch 6067/9999, Iter 303300: Loss = 0.0072475154884159565, lr = [5e-05] +[2024-05-24 14:17:29,291] - INFO: Epoch 6067/9999, Iter 303320: Loss = 0.012468235567212105, lr = [5e-05] +[2024-05-24 14:17:56,172] - INFO: Epoch 6067/9999, Iter 303340: Loss = 0.014069299213588238, lr = [5e-05] +[2024-05-24 14:18:25,013] - INFO: Epoch 6068/9999, Iter 303360: Loss = 0.014603981748223305, lr = [5e-05] +[2024-05-24 14:18:52,011] - INFO: Epoch 6068/9999, Iter 303380: Loss = 0.014818841591477394, lr = [5e-05] +[2024-05-24 14:19:21,670] - INFO: Epoch 6069/9999, Iter 303400: Loss = 0.013193457387387753, lr = [5e-05] +[2024-05-24 14:19:49,947] - INFO: Epoch 6069/9999, Iter 303420: Loss = 0.010625953786075115, lr = [5e-05] +[2024-05-24 14:20:19,111] - INFO: Epoch 6069/9999, Iter 303440: Loss = 0.019183125346899033, lr = [5e-05] +[2024-05-24 14:20:52,855] - INFO: Epoch 6070/9999, Iter 303460: Loss = 0.011747886426746845, lr = [5e-05] +[2024-05-24 14:21:20,753] - INFO: Epoch 6070/9999, Iter 303480: Loss = 0.014547979459166527, lr = [5e-05] +[2024-05-24 14:21:49,918] - INFO: Evaluate at epoch 6070! +[2024-05-24 14:21:56,155] - INFO: Eval PSNR (max): 38.041 (5620) SSIM (max): 0.9611 (5335) +[2024-05-24 14:21:56,155] - INFO: Eval PSNR (current): 38.021 (6070) SSIM (current): 0.9609 (6070) +[2024-05-24 14:21:56,155] - INFO: Evaluation over. +[2024-05-24 14:22:00,848] - INFO: Epoch 6071/9999, Iter 303500: Loss = 0.01469698641449213, lr = [5e-05] +[2024-05-24 14:23:00,331] - INFO: Epoch 6071/9999, Iter 303520: Loss = 0.014722872525453568, lr = [5e-05] +[2024-05-24 14:23:27,787] - INFO: Epoch 6071/9999, Iter 303540: Loss = 0.017062628641724586, lr = [5e-05] +[2024-05-24 14:23:57,055] - INFO: Epoch 6072/9999, Iter 303560: Loss = 0.012398764491081238, lr = [5e-05] +[2024-05-24 14:24:24,364] - INFO: Epoch 6072/9999, Iter 303580: Loss = 0.016602491959929466, lr = [5e-05] +[2024-05-24 14:24:53,927] - INFO: Epoch 6073/9999, Iter 303600: Loss = 0.009693295694887638, lr = [5e-05] +[2024-05-24 14:25:21,490] - INFO: Epoch 6073/9999, Iter 303620: Loss = 0.013108701445162296, lr = [5e-05] +[2024-05-24 14:25:48,139] - INFO: Epoch 6073/9999, Iter 303640: Loss = 0.012296272441744804, lr = [5e-05] +[2024-05-24 14:26:17,095] - INFO: Epoch 6074/9999, Iter 303660: Loss = 0.011573392897844315, lr = [5e-05] +[2024-05-24 14:26:44,107] - INFO: Epoch 6074/9999, Iter 303680: Loss = 0.008382697589695454, lr = [5e-05] +[2024-05-24 14:27:13,018] - INFO: Epoch 6075/9999, Iter 303700: Loss = 0.010329528711736202, lr = [5e-05] +[2024-05-24 14:27:40,918] - INFO: Epoch 6075/9999, Iter 303720: Loss = 0.014142671599984169, lr = [5e-05] +[2024-05-24 14:28:09,390] - INFO: Epoch 6075/9999, Iter 303740: Loss = 0.012739925645291805, lr = [5e-05] +[2024-05-24 14:28:21,027] - INFO: Evaluate at epoch 6075! +[2024-05-24 14:28:25,413] - INFO: Eval PSNR (max): 38.041 (5620) SSIM (max): 0.9611 (5335) +[2024-05-24 14:28:25,414] - INFO: Eval PSNR (current): 38.012 (6075) SSIM (current): 0.9609 (6075) +[2024-05-24 14:28:25,414] - INFO: Evaluation over. +[2024-05-24 14:28:44,104] - INFO: Epoch 6076/9999, Iter 303760: Loss = 0.015328288078308105, lr = [5e-05] +[2024-05-24 14:29:12,323] - INFO: Epoch 6076/9999, Iter 303780: Loss = 0.018743105232715607, lr = [5e-05] +[2024-05-24 14:29:41,381] - INFO: Epoch 6077/9999, Iter 303800: Loss = 0.011343622580170631, lr = [5e-05] +[2024-05-24 14:30:09,095] - INFO: Epoch 6077/9999, Iter 303820: Loss = 0.015385503880679607, lr = [5e-05] +[2024-05-24 14:30:36,112] - INFO: Epoch 6077/9999, Iter 303840: Loss = 0.016645940020680428, lr = [5e-05] +[2024-05-24 14:31:05,313] - INFO: Epoch 6078/9999, Iter 303860: Loss = 0.01010939572006464, lr = [5e-05] +[2024-05-24 14:31:33,083] - INFO: Epoch 6078/9999, Iter 303880: Loss = 0.018227633088827133, lr = [5e-05] +[2024-05-24 14:32:02,162] - INFO: Epoch 6079/9999, Iter 303900: Loss = 0.012923508882522583, lr = [5e-05] +[2024-05-24 14:32:28,911] - INFO: Epoch 6079/9999, Iter 303920: Loss = 0.012084290385246277, lr = [5e-05] +[2024-05-24 14:32:56,750] - INFO: Epoch 6079/9999, Iter 303940: Loss = 0.013400501571595669, lr = [5e-05] +[2024-05-24 14:33:24,594] - INFO: Epoch 6080/9999, Iter 303960: Loss = 0.011485536582767963, lr = [5e-05] +[2024-05-24 14:33:52,151] - INFO: Epoch 6080/9999, Iter 303980: Loss = 0.009638261049985886, lr = [5e-05] +[2024-05-24 14:34:17,882] - INFO: Evaluate at epoch 6080! +[2024-05-24 14:34:22,009] - INFO: Eval PSNR (max): 38.041 (5620) SSIM (max): 0.9611 (5335) +[2024-05-24 14:34:22,009] - INFO: Eval PSNR (current): 37.997 (6080) SSIM (current): 0.9608 (6080) +[2024-05-24 14:34:22,010] - INFO: Evaluation over. +[2024-05-24 14:34:27,159] - INFO: Epoch 6081/9999, Iter 304000: Loss = 0.017547601833939552, lr = [5e-05] +[2024-05-24 14:34:53,484] - INFO: Epoch 6081/9999, Iter 304020: Loss = 0.008624128066003323, lr = [5e-05] +[2024-05-24 14:35:21,287] - INFO: Epoch 6081/9999, Iter 304040: Loss = 0.011446909047663212, lr = [5e-05] +[2024-05-24 14:35:49,762] - INFO: Epoch 6082/9999, Iter 304060: Loss = 0.013187413103878498, lr = [5e-05] +[2024-05-24 14:36:17,203] - INFO: Epoch 6082/9999, Iter 304080: Loss = 0.012219231575727463, lr = [5e-05] +[2024-05-24 14:36:46,579] - INFO: Epoch 6083/9999, Iter 304100: Loss = 0.008298487402498722, lr = [5e-05] +[2024-05-24 14:37:13,703] - INFO: Epoch 6083/9999, Iter 304120: Loss = 0.018421709537506104, lr = [5e-05] +[2024-05-24 14:37:42,066] - INFO: Epoch 6083/9999, Iter 304140: Loss = 0.014068503864109516, lr = [5e-05] +[2024-05-24 14:38:10,699] - INFO: Epoch 6084/9999, Iter 304160: Loss = 0.011401302181184292, lr = [5e-05] +[2024-05-24 14:38:38,575] - INFO: Epoch 6084/9999, Iter 304180: Loss = 0.014348523691296577, lr = [5e-05] +[2024-05-24 14:39:08,523] - INFO: Epoch 6085/9999, Iter 304200: Loss = 0.019345691427588463, lr = [5e-05] +[2024-05-24 14:39:36,200] - INFO: Epoch 6085/9999, Iter 304220: Loss = 0.011732975021004677, lr = [5e-05] +[2024-05-24 14:40:02,574] - INFO: Epoch 6085/9999, Iter 304240: Loss = 0.012105307541787624, lr = [5e-05] +[2024-05-24 14:40:15,038] - INFO: Evaluate at epoch 6085! +[2024-05-24 14:40:19,153] - INFO: Eval PSNR (max): 38.041 (5620) SSIM (max): 0.9611 (5335) +[2024-05-24 14:40:19,153] - INFO: Eval PSNR (current): 38.022 (6085) SSIM (current): 0.9609 (6085) +[2024-05-24 14:40:19,154] - INFO: Evaluation over. +[2024-05-24 14:40:37,611] - INFO: Epoch 6086/9999, Iter 304260: Loss = 0.014481357298791409, lr = [5e-05] +[2024-05-24 14:41:04,934] - INFO: Epoch 6086/9999, Iter 304280: Loss = 0.012933742254972458, lr = [5e-05] +[2024-05-24 14:41:33,673] - INFO: Epoch 6087/9999, Iter 304300: Loss = 0.013186872936785221, lr = [5e-05] +[2024-05-24 14:42:00,739] - INFO: Epoch 6087/9999, Iter 304320: Loss = 0.014279869385063648, lr = [5e-05] +[2024-05-24 14:42:28,399] - INFO: Epoch 6087/9999, Iter 304340: Loss = 0.012340782210230827, lr = [5e-05] +[2024-05-24 14:42:57,260] - INFO: Epoch 6088/9999, Iter 304360: Loss = 0.010342920199036598, lr = [5e-05] +[2024-05-24 14:43:23,933] - INFO: Epoch 6088/9999, Iter 304380: Loss = 0.01382544543594122, lr = [5e-05] +[2024-05-24 14:43:53,846] - INFO: Epoch 6089/9999, Iter 304400: Loss = 0.01123757753521204, lr = [5e-05] +[2024-05-24 14:44:20,571] - INFO: Epoch 6089/9999, Iter 304420: Loss = 0.012679969891905785, lr = [5e-05] +[2024-05-24 14:44:48,783] - INFO: Epoch 6089/9999, Iter 304440: Loss = 0.01770520582795143, lr = [5e-05] +[2024-05-24 14:45:18,018] - INFO: Epoch 6090/9999, Iter 304460: Loss = 0.014053295366466045, lr = [5e-05] +[2024-05-24 14:45:45,953] - INFO: Epoch 6090/9999, Iter 304480: Loss = 0.012395214289426804, lr = [5e-05] +[2024-05-24 14:46:11,898] - INFO: Evaluate at epoch 6090! +[2024-05-24 14:46:16,021] - INFO: Eval PSNR (max): 38.041 (5620) SSIM (max): 0.9611 (5335) +[2024-05-24 14:46:16,021] - INFO: Eval PSNR (current): 38.027 (6090) SSIM (current): 0.9609 (6090) +[2024-05-24 14:46:16,021] - INFO: Evaluation over. +[2024-05-24 14:46:20,743] - INFO: Epoch 6091/9999, Iter 304500: Loss = 0.011828867718577385, lr = [5e-05] +[2024-05-24 14:46:48,023] - INFO: Epoch 6091/9999, Iter 304520: Loss = 0.010795829817652702, lr = [5e-05] +[2024-05-24 14:47:15,116] - INFO: Epoch 6091/9999, Iter 304540: Loss = 0.016652848571538925, lr = [5e-05] +[2024-05-24 14:47:43,770] - INFO: Epoch 6092/9999, Iter 304560: Loss = 0.008649809285998344, lr = [5e-05] +[2024-05-24 14:48:10,838] - INFO: Epoch 6092/9999, Iter 304580: Loss = 0.020041175186634064, lr = [5e-05] +[2024-05-24 14:48:40,947] - INFO: Epoch 6093/9999, Iter 304600: Loss = 0.009506733156740665, lr = [5e-05] +[2024-05-24 14:49:08,085] - INFO: Epoch 6093/9999, Iter 304620: Loss = 0.013844488188624382, lr = [5e-05] +[2024-05-24 14:49:36,335] - INFO: Epoch 6093/9999, Iter 304640: Loss = 0.013832787983119488, lr = [5e-05] +[2024-05-24 14:50:04,863] - INFO: Epoch 6094/9999, Iter 304660: Loss = 0.009859650395810604, lr = [5e-05] +[2024-05-24 14:50:32,025] - INFO: Epoch 6094/9999, Iter 304680: Loss = 0.011203588917851448, lr = [5e-05] +[2024-05-24 14:51:01,552] - INFO: Epoch 6095/9999, Iter 304700: Loss = 0.014983272179961205, lr = [5e-05] +[2024-05-24 14:51:28,467] - INFO: Epoch 6095/9999, Iter 304720: Loss = 0.0136337261646986, lr = [5e-05] +[2024-05-24 14:51:55,909] - INFO: Epoch 6095/9999, Iter 304740: Loss = 0.009734786115586758, lr = [5e-05] +[2024-05-24 14:52:08,105] - INFO: Evaluate at epoch 6095! +[2024-05-24 14:52:12,223] - INFO: Eval PSNR (max): 38.041 (5620) SSIM (max): 0.9611 (5335) +[2024-05-24 14:52:12,223] - INFO: Eval PSNR (current): 37.994 (6095) SSIM (current): 0.9610 (6095) +[2024-05-24 14:52:12,223] - INFO: Evaluation over. +[2024-05-24 14:52:30,491] - INFO: Epoch 6096/9999, Iter 304760: Loss = 0.01662718504667282, lr = [5e-05] +[2024-05-24 14:52:59,208] - INFO: Epoch 6096/9999, Iter 304780: Loss = 0.011859629303216934, lr = [5e-05] +[2024-05-24 14:53:27,473] - INFO: Epoch 6097/9999, Iter 304800: Loss = 0.009089462459087372, lr = [5e-05] +[2024-05-24 14:53:54,420] - INFO: Epoch 6097/9999, Iter 304820: Loss = 0.01339749712496996, lr = [5e-05] +[2024-05-24 14:54:22,486] - INFO: Epoch 6097/9999, Iter 304840: Loss = 0.013777808286249638, lr = [5e-05] +[2024-05-24 14:54:50,366] - INFO: Epoch 6098/9999, Iter 304860: Loss = 0.010384614579379559, lr = [5e-05] +[2024-05-24 14:55:17,378] - INFO: Epoch 6098/9999, Iter 304880: Loss = 0.016898326575756073, lr = [5e-05] +[2024-05-24 14:55:46,366] - INFO: Epoch 6099/9999, Iter 304900: Loss = 0.008310656063258648, lr = [5e-05] +[2024-05-24 14:56:13,046] - INFO: Epoch 6099/9999, Iter 304920: Loss = 0.011047326028347015, lr = [5e-05] +[2024-05-24 14:56:40,678] - INFO: Epoch 6099/9999, Iter 304940: Loss = 0.0186037328094244, lr = [5e-05] +[2024-05-24 14:57:09,297] - INFO: Epoch 6100/9999, Iter 304960: Loss = 0.010954570025205612, lr = [5e-05] +[2024-05-24 14:57:36,515] - INFO: Epoch 6100/9999, Iter 304980: Loss = 0.012695607729256153, lr = [5e-05] +[2024-05-24 14:58:02,243] - INFO: Evaluate at epoch 6100! +[2024-05-24 14:58:06,377] - INFO: Eval PSNR (max): 38.041 (5620) SSIM (max): 0.9611 (5335) +[2024-05-24 14:58:06,377] - INFO: Eval PSNR (current): 38.003 (6100) SSIM (current): 0.9609 (6100) +[2024-05-24 14:58:06,377] - INFO: Evaluation over. +[2024-05-24 14:58:10,901] - INFO: Epoch 6101/9999, Iter 305000: Loss = 0.018888292834162712, lr = [5e-05] +[2024-05-24 14:58:38,851] - INFO: Epoch 6101/9999, Iter 305020: Loss = 0.0162410419434309, lr = [5e-05] +[2024-05-24 14:59:06,439] - INFO: Epoch 6101/9999, Iter 305040: Loss = 0.016631774604320526, lr = [5e-05] +[2024-05-24 14:59:35,723] - INFO: Epoch 6102/9999, Iter 305060: Loss = 0.01289522834122181, lr = [5e-05] +[2024-05-24 15:00:03,976] - INFO: Epoch 6102/9999, Iter 305080: Loss = 0.013281338848173618, lr = [5e-05] +[2024-05-24 15:00:33,127] - INFO: Epoch 6103/9999, Iter 305100: Loss = 0.008290767669677734, lr = [5e-05] +[2024-05-24 15:01:00,575] - INFO: Epoch 6103/9999, Iter 305120: Loss = 0.014577768743038177, lr = [5e-05] +[2024-05-24 15:01:28,206] - INFO: Epoch 6103/9999, Iter 305140: Loss = 0.02375846542418003, lr = [5e-05] +[2024-05-24 15:01:57,947] - INFO: Epoch 6104/9999, Iter 305160: Loss = 0.014097516424953938, lr = [5e-05] +[2024-05-24 15:02:26,291] - INFO: Epoch 6104/9999, Iter 305180: Loss = 0.014353443868458271, lr = [5e-05] +[2024-05-24 15:02:54,995] - INFO: Epoch 6105/9999, Iter 305200: Loss = 0.013277939520776272, lr = [5e-05] +[2024-05-24 15:03:22,845] - INFO: Epoch 6105/9999, Iter 305220: Loss = 0.013298334553837776, lr = [5e-05] +[2024-05-24 15:03:51,171] - INFO: Epoch 6105/9999, Iter 305240: Loss = 0.010066269896924496, lr = [5e-05] +[2024-05-24 15:04:03,254] - INFO: Evaluate at epoch 6105! +[2024-05-24 15:04:07,378] - INFO: Eval PSNR (max): 38.041 (5620) SSIM (max): 0.9611 (5335) +[2024-05-24 15:04:07,378] - INFO: Eval PSNR (current): 38.038 (6105) SSIM (current): 0.9609 (6105) +[2024-05-24 15:04:07,379] - INFO: Evaluation over. +[2024-05-24 15:04:25,779] - INFO: Epoch 6106/9999, Iter 305260: Loss = 0.013726972043514252, lr = [5e-05] +[2024-05-24 15:04:53,508] - INFO: Epoch 6106/9999, Iter 305280: Loss = 0.010480045340955257, lr = [5e-05] +[2024-05-24 15:05:22,391] - INFO: Epoch 6107/9999, Iter 305300: Loss = 0.011609342880547047, lr = [5e-05] +[2024-05-24 15:05:50,865] - INFO: Epoch 6107/9999, Iter 305320: Loss = 0.01347891055047512, lr = [5e-05] +[2024-05-24 15:06:18,315] - INFO: Epoch 6107/9999, Iter 305340: Loss = 0.011526066809892654, lr = [5e-05] +[2024-05-24 15:06:47,162] - INFO: Epoch 6108/9999, Iter 305360: Loss = 0.012470416724681854, lr = [5e-05] +[2024-05-24 15:07:14,731] - INFO: Epoch 6108/9999, Iter 305380: Loss = 0.017322847619652748, lr = [5e-05] +[2024-05-24 15:07:43,204] - INFO: Epoch 6109/9999, Iter 305400: Loss = 0.013521919026970863, lr = [5e-05] +[2024-05-24 15:08:10,259] - INFO: Epoch 6109/9999, Iter 305420: Loss = 0.01985139586031437, lr = [5e-05] +[2024-05-24 15:08:38,173] - INFO: Epoch 6109/9999, Iter 305440: Loss = 0.01460766326636076, lr = [5e-05] +[2024-05-24 15:09:07,389] - INFO: Epoch 6110/9999, Iter 305460: Loss = 0.014673513360321522, lr = [5e-05] +[2024-05-24 15:09:34,529] - INFO: Epoch 6110/9999, Iter 305480: Loss = 0.01025818195194006, lr = [5e-05] +[2024-05-24 15:10:00,333] - INFO: Evaluate at epoch 6110! +[2024-05-24 15:10:04,456] - INFO: Eval PSNR (max): 38.041 (5620) SSIM (max): 0.9611 (5335) +[2024-05-24 15:10:04,456] - INFO: Eval PSNR (current): 38.036 (6110) SSIM (current): 0.9610 (6110) +[2024-05-24 15:10:04,456] - INFO: Evaluation over. +[2024-05-24 15:10:08,920] - INFO: Epoch 6111/9999, Iter 305500: Loss = 0.011978785507380962, lr = [5e-05] +[2024-05-24 15:10:36,047] - INFO: Epoch 6111/9999, Iter 305520: Loss = 0.011674011126160622, lr = [5e-05] +[2024-05-24 15:11:04,070] - INFO: Epoch 6111/9999, Iter 305540: Loss = 0.011269425973296165, lr = [5e-05] +[2024-05-24 15:11:32,783] - INFO: Epoch 6112/9999, Iter 305560: Loss = 0.012646960094571114, lr = [5e-05] +[2024-05-24 15:12:00,962] - INFO: Epoch 6112/9999, Iter 305580: Loss = 0.011573584750294685, lr = [5e-05] +[2024-05-24 15:12:29,644] - INFO: Epoch 6113/9999, Iter 305600: Loss = 0.010523473843932152, lr = [5e-05] +[2024-05-24 15:12:56,408] - INFO: Epoch 6113/9999, Iter 305620: Loss = 0.010323293507099152, lr = [5e-05] +[2024-05-24 15:13:23,577] - INFO: Epoch 6113/9999, Iter 305640: Loss = 0.008875535801053047, lr = [5e-05] +[2024-05-24 15:13:52,456] - INFO: Epoch 6114/9999, Iter 305660: Loss = 0.013582972809672356, lr = [5e-05] +[2024-05-24 15:14:20,782] - INFO: Epoch 6114/9999, Iter 305680: Loss = 0.013410761952400208, lr = [5e-05] +[2024-05-24 15:14:49,215] - INFO: Epoch 6115/9999, Iter 305700: Loss = 0.01305093802511692, lr = [5e-05] +[2024-05-24 15:15:17,587] - INFO: Epoch 6115/9999, Iter 305720: Loss = 0.016136324033141136, lr = [5e-05] +[2024-05-24 15:15:45,167] - INFO: Epoch 6115/9999, Iter 305740: Loss = 0.013056141324341297, lr = [5e-05] +[2024-05-24 15:15:57,182] - INFO: Evaluate at epoch 6115! +[2024-05-24 15:16:01,313] - INFO: Eval PSNR (max): 38.041 (5620) SSIM (max): 0.9611 (5335) +[2024-05-24 15:16:01,313] - INFO: Eval PSNR (current): 38.032 (6115) SSIM (current): 0.9609 (6115) +[2024-05-24 15:16:01,314] - INFO: Evaluation over. +[2024-05-24 15:16:18,941] - INFO: Epoch 6116/9999, Iter 305760: Loss = 0.012260670773684978, lr = [5e-05] +[2024-05-24 15:16:46,923] - INFO: Epoch 6116/9999, Iter 305780: Loss = 0.010905805975198746, lr = [5e-05] +[2024-05-24 15:17:16,519] - INFO: Epoch 6117/9999, Iter 305800: Loss = 0.008737079799175262, lr = [5e-05] +[2024-05-24 15:17:43,214] - INFO: Epoch 6117/9999, Iter 305820: Loss = 0.012528764083981514, lr = [5e-05] +[2024-05-24 15:18:10,499] - INFO: Epoch 6117/9999, Iter 305840: Loss = 0.010409699752926826, lr = [5e-05] +[2024-05-24 15:18:39,635] - INFO: Epoch 6118/9999, Iter 305860: Loss = 0.014739491045475006, lr = [5e-05] +[2024-05-24 15:19:07,266] - INFO: Epoch 6118/9999, Iter 305880: Loss = 0.013021336868405342, lr = [5e-05] +[2024-05-24 15:19:36,649] - INFO: Epoch 6119/9999, Iter 305900: Loss = 0.020549548789858818, lr = [5e-05] +[2024-05-24 15:20:03,807] - INFO: Epoch 6119/9999, Iter 305920: Loss = 0.01743009127676487, lr = [5e-05] +[2024-05-24 15:20:31,211] - INFO: Epoch 6119/9999, Iter 305940: Loss = 0.01371037308126688, lr = [5e-05] +[2024-05-24 15:21:00,081] - INFO: Epoch 6120/9999, Iter 305960: Loss = 0.010922889225184917, lr = [5e-05] +[2024-05-24 15:21:27,749] - INFO: Epoch 6120/9999, Iter 305980: Loss = 0.013702909462153912, lr = [5e-05] +[2024-05-24 15:21:53,287] - INFO: Evaluate at epoch 6120! +[2024-05-24 15:21:59,206] - INFO: Eval PSNR (max): 38.043 (6120) SSIM (max): 0.9611 (5335) +[2024-05-24 15:21:59,206] - INFO: Eval PSNR (current): 38.043 (6120) SSIM (current): 0.9609 (6120) +[2024-05-24 15:21:59,206] - INFO: Evaluation over. +[2024-05-24 15:22:03,923] - INFO: Epoch 6121/9999, Iter 306000: Loss = 0.009543955326080322, lr = [5e-05] +[2024-05-24 15:22:32,171] - INFO: Epoch 6121/9999, Iter 306020: Loss = 0.014942851848900318, lr = [5e-05] +[2024-05-24 15:23:00,371] - INFO: Epoch 6121/9999, Iter 306040: Loss = 0.015269246883690357, lr = [5e-05] +[2024-05-24 15:23:29,648] - INFO: Epoch 6122/9999, Iter 306060: Loss = 0.010664216242730618, lr = [5e-05] +[2024-05-24 15:23:57,403] - INFO: Epoch 6122/9999, Iter 306080: Loss = 0.01716289296746254, lr = [5e-05] +[2024-05-24 15:24:26,323] - INFO: Epoch 6123/9999, Iter 306100: Loss = 0.016060110181570053, lr = [5e-05] +[2024-05-24 15:24:53,906] - INFO: Epoch 6123/9999, Iter 306120: Loss = 0.012428877875208855, lr = [5e-05] +[2024-05-24 15:25:22,095] - INFO: Epoch 6123/9999, Iter 306140: Loss = 0.009402154944837093, lr = [5e-05] +[2024-05-24 15:25:51,329] - INFO: Epoch 6124/9999, Iter 306160: Loss = 0.018240055069327354, lr = [5e-05] +[2024-05-24 15:26:19,587] - INFO: Epoch 6124/9999, Iter 306180: Loss = 0.009199936874210835, lr = [5e-05] +[2024-05-24 15:26:48,003] - INFO: Epoch 6125/9999, Iter 306200: Loss = 0.018263235688209534, lr = [5e-05] +[2024-05-24 15:27:16,186] - INFO: Epoch 6125/9999, Iter 306220: Loss = 0.012761810794472694, lr = [5e-05] +[2024-05-24 15:27:43,227] - INFO: Epoch 6125/9999, Iter 306240: Loss = 0.013070838525891304, lr = [5e-05] +[2024-05-24 15:27:55,683] - INFO: Evaluate at epoch 6125! +[2024-05-24 15:27:59,794] - INFO: Eval PSNR (max): 38.043 (6120) SSIM (max): 0.9611 (5335) +[2024-05-24 15:27:59,794] - INFO: Eval PSNR (current): 38.008 (6125) SSIM (current): 0.9608 (6125) +[2024-05-24 15:27:59,794] - INFO: Evaluation over. +[2024-05-24 15:28:18,836] - INFO: Epoch 6126/9999, Iter 306260: Loss = 0.013101031072437763, lr = [5e-05] +[2024-05-24 15:28:46,611] - INFO: Epoch 6126/9999, Iter 306280: Loss = 0.017718330025672913, lr = [5e-05] +[2024-05-24 15:29:15,747] - INFO: Epoch 6127/9999, Iter 306300: Loss = 0.013379732146859169, lr = [5e-05] +[2024-05-24 15:29:43,503] - INFO: Epoch 6127/9999, Iter 306320: Loss = 0.015394065529108047, lr = [5e-05] +[2024-05-24 15:30:11,703] - INFO: Epoch 6127/9999, Iter 306340: Loss = 0.009516935795545578, lr = [5e-05] +[2024-05-24 15:30:40,927] - INFO: Epoch 6128/9999, Iter 306360: Loss = 0.017044344916939735, lr = [5e-05] +[2024-05-24 15:31:08,717] - INFO: Epoch 6128/9999, Iter 306380: Loss = 0.01483447477221489, lr = [5e-05] +[2024-05-24 15:31:37,172] - INFO: Epoch 6129/9999, Iter 306400: Loss = 0.018031131476163864, lr = [5e-05] +[2024-05-24 15:32:05,613] - INFO: Epoch 6129/9999, Iter 306420: Loss = 0.008086448535323143, lr = [5e-05] +[2024-05-24 15:32:33,695] - INFO: Epoch 6129/9999, Iter 306440: Loss = 0.008948721922934055, lr = [5e-05] +[2024-05-24 15:33:01,659] - INFO: Epoch 6130/9999, Iter 306460: Loss = 0.01487759780138731, lr = [5e-05] +[2024-05-24 15:33:29,027] - INFO: Epoch 6130/9999, Iter 306480: Loss = 0.015480180270969868, lr = [5e-05] +[2024-05-24 15:33:54,702] - INFO: Evaluate at epoch 6130! +[2024-05-24 15:33:58,815] - INFO: Eval PSNR (max): 38.043 (6120) SSIM (max): 0.9611 (5335) +[2024-05-24 15:33:58,815] - INFO: Eval PSNR (current): 38.033 (6130) SSIM (current): 0.9609 (6130) +[2024-05-24 15:33:58,815] - INFO: Evaluation over. +[2024-05-24 15:34:03,155] - INFO: Epoch 6131/9999, Iter 306500: Loss = 0.013381174765527248, lr = [5e-05] +[2024-05-24 15:34:31,459] - INFO: Epoch 6131/9999, Iter 306520: Loss = 0.014218495227396488, lr = [5e-05] +[2024-05-24 15:34:59,147] - INFO: Epoch 6131/9999, Iter 306540: Loss = 0.010545706376433372, lr = [5e-05] +[2024-05-24 15:35:27,283] - INFO: Epoch 6132/9999, Iter 306560: Loss = 0.010408705100417137, lr = [5e-05] +[2024-05-24 15:35:55,778] - INFO: Epoch 6132/9999, Iter 306580: Loss = 0.015668435022234917, lr = [5e-05] +[2024-05-24 15:36:24,699] - INFO: Epoch 6133/9999, Iter 306600: Loss = 0.009407018311321735, lr = [5e-05] +[2024-05-24 15:36:52,019] - INFO: Epoch 6133/9999, Iter 306620: Loss = 0.014903516508638859, lr = [5e-05] +[2024-05-24 15:37:20,335] - INFO: Epoch 6133/9999, Iter 306640: Loss = 0.017069976776838303, lr = [5e-05] +[2024-05-24 15:37:48,793] - INFO: Epoch 6134/9999, Iter 306660: Loss = 0.012034663930535316, lr = [5e-05] +[2024-05-24 15:38:17,128] - INFO: Epoch 6134/9999, Iter 306680: Loss = 0.009007694199681282, lr = [5e-05] +[2024-05-24 15:38:46,088] - INFO: Epoch 6135/9999, Iter 306700: Loss = 0.014899319969117641, lr = [5e-05] +[2024-05-24 15:39:13,515] - INFO: Epoch 6135/9999, Iter 306720: Loss = 0.013961507007479668, lr = [5e-05] +[2024-05-24 15:39:41,075] - INFO: Epoch 6135/9999, Iter 306740: Loss = 0.010416615754365921, lr = [5e-05] +[2024-05-24 15:39:53,140] - INFO: Evaluate at epoch 6135! +[2024-05-24 15:39:57,249] - INFO: Eval PSNR (max): 38.043 (6120) SSIM (max): 0.9611 (5335) +[2024-05-24 15:39:57,250] - INFO: Eval PSNR (current): 37.999 (6135) SSIM (current): 0.9609 (6135) +[2024-05-24 15:39:57,250] - INFO: Evaluation over. +[2024-05-24 15:40:15,624] - INFO: Epoch 6136/9999, Iter 306760: Loss = 0.01635652221739292, lr = [5e-05] +[2024-05-24 15:40:43,415] - INFO: Epoch 6136/9999, Iter 306780: Loss = 0.013960988260805607, lr = [5e-05] +[2024-05-24 15:41:11,948] - INFO: Epoch 6137/9999, Iter 306800: Loss = 0.011071369983255863, lr = [5e-05] +[2024-05-24 15:41:40,387] - INFO: Epoch 6137/9999, Iter 306820: Loss = 0.012754918076097965, lr = [5e-05] +[2024-05-24 15:42:07,538] - INFO: Epoch 6137/9999, Iter 306840: Loss = 0.01413694117218256, lr = [5e-05] +[2024-05-24 15:42:36,359] - INFO: Epoch 6138/9999, Iter 306860: Loss = 0.013153130188584328, lr = [5e-05] +[2024-05-24 15:43:03,831] - INFO: Epoch 6138/9999, Iter 306880: Loss = 0.012322986498475075, lr = [5e-05] +[2024-05-24 15:43:32,675] - INFO: Epoch 6139/9999, Iter 306900: Loss = 0.018883736804127693, lr = [5e-05] +[2024-05-24 15:44:00,251] - INFO: Epoch 6139/9999, Iter 306920: Loss = 0.014824926853179932, lr = [5e-05] +[2024-05-24 15:44:27,507] - INFO: Epoch 6139/9999, Iter 306940: Loss = 0.012383585795760155, lr = [5e-05] +[2024-05-24 15:44:56,335] - INFO: Epoch 6140/9999, Iter 306960: Loss = 0.013787863776087761, lr = [5e-05] +[2024-05-24 15:45:22,923] - INFO: Epoch 6140/9999, Iter 306980: Loss = 0.009275541640818119, lr = [5e-05] +[2024-05-24 15:45:49,500] - INFO: Evaluate at epoch 6140! +[2024-05-24 15:45:53,619] - INFO: Eval PSNR (max): 38.043 (6120) SSIM (max): 0.9611 (5335) +[2024-05-24 15:45:53,619] - INFO: Eval PSNR (current): 38.031 (6140) SSIM (current): 0.9609 (6140) +[2024-05-24 15:45:53,619] - INFO: Evaluation over. +[2024-05-24 15:45:57,871] - INFO: Epoch 6141/9999, Iter 307000: Loss = 0.01270674355328083, lr = [5e-05] +[2024-05-24 15:46:24,305] - INFO: Epoch 6141/9999, Iter 307020: Loss = 0.009503541514277458, lr = [5e-05] +[2024-05-24 15:46:51,315] - INFO: Epoch 6141/9999, Iter 307040: Loss = 0.011929387226700783, lr = [5e-05] +[2024-05-24 15:47:20,319] - INFO: Epoch 6142/9999, Iter 307060: Loss = 0.014340332709252834, lr = [5e-05] +[2024-05-24 15:47:47,147] - INFO: Epoch 6142/9999, Iter 307080: Loss = 0.012215657159686089, lr = [5e-05] +[2024-05-24 15:48:16,596] - INFO: Epoch 6143/9999, Iter 307100: Loss = 0.01153713557869196, lr = [5e-05] +[2024-05-24 15:48:43,725] - INFO: Epoch 6143/9999, Iter 307120: Loss = 0.012087203562259674, lr = [5e-05] +[2024-05-24 15:49:11,192] - INFO: Epoch 6143/9999, Iter 307140: Loss = 0.008744388818740845, lr = [5e-05] +[2024-05-24 15:49:40,535] - INFO: Epoch 6144/9999, Iter 307160: Loss = 0.008345888927578926, lr = [5e-05] +[2024-05-24 15:50:08,807] - INFO: Epoch 6144/9999, Iter 307180: Loss = 0.010419342666864395, lr = [5e-05] +[2024-05-24 15:50:37,184] - INFO: Epoch 6145/9999, Iter 307200: Loss = 0.014680847525596619, lr = [5e-05] +[2024-05-24 15:51:05,003] - INFO: Epoch 6145/9999, Iter 307220: Loss = 0.010614607483148575, lr = [5e-05] +[2024-05-24 15:51:33,349] - INFO: Epoch 6145/9999, Iter 307240: Loss = 0.010842107236385345, lr = [5e-05] +[2024-05-24 15:51:45,722] - INFO: Evaluate at epoch 6145! +[2024-05-24 15:51:49,833] - INFO: Eval PSNR (max): 38.043 (6120) SSIM (max): 0.9611 (5335) +[2024-05-24 15:51:49,833] - INFO: Eval PSNR (current): 37.982 (6145) SSIM (current): 0.9608 (6145) +[2024-05-24 15:51:49,833] - INFO: Evaluation over. +[2024-05-24 15:52:08,830] - INFO: Epoch 6146/9999, Iter 307260: Loss = 0.011501680128276348, lr = [5e-05] +[2024-05-24 15:52:37,378] - INFO: Epoch 6146/9999, Iter 307280: Loss = 0.010670386254787445, lr = [5e-05] +[2024-05-24 15:53:05,516] - INFO: Epoch 6147/9999, Iter 307300: Loss = 0.010960844345390797, lr = [5e-05] +[2024-05-24 15:53:33,685] - INFO: Epoch 6147/9999, Iter 307320: Loss = 0.011276079341769218, lr = [5e-05] +[2024-05-24 15:54:01,177] - INFO: Epoch 6147/9999, Iter 307340: Loss = 0.013399044051766396, lr = [5e-05] +[2024-05-24 15:54:30,666] - INFO: Epoch 6148/9999, Iter 307360: Loss = 0.012438691221177578, lr = [5e-05] +[2024-05-24 15:54:58,752] - INFO: Epoch 6148/9999, Iter 307380: Loss = 0.013485555537045002, lr = [5e-05] +[2024-05-24 15:55:27,707] - INFO: Epoch 6149/9999, Iter 307400: Loss = 0.011388134211301804, lr = [5e-05] +[2024-05-24 15:55:56,166] - INFO: Epoch 6149/9999, Iter 307420: Loss = 0.019773950800299644, lr = [5e-05] +[2024-05-24 15:56:22,876] - INFO: Epoch 6149/9999, Iter 307440: Loss = 0.015919126570224762, lr = [5e-05] +[2024-05-24 15:56:51,864] - INFO: Epoch 6150/9999, Iter 307460: Loss = 0.010354208759963512, lr = [5e-05] +[2024-05-24 15:57:18,868] - INFO: Epoch 6150/9999, Iter 307480: Loss = 0.01858302764594555, lr = [5e-05] +[2024-05-24 15:57:44,383] - INFO: Evaluate at epoch 6150! +[2024-05-24 15:57:48,492] - INFO: Eval PSNR (max): 38.043 (6120) SSIM (max): 0.9611 (5335) +[2024-05-24 15:57:48,493] - INFO: Eval PSNR (current): 38.008 (6150) SSIM (current): 0.9608 (6150) +[2024-05-24 15:57:48,493] - INFO: Evaluation over. +[2024-05-24 15:57:52,853] - INFO: Epoch 6151/9999, Iter 307500: Loss = 0.01060447096824646, lr = [5e-05] +[2024-05-24 15:58:21,751] - INFO: Epoch 6151/9999, Iter 307520: Loss = 0.013841715641319752, lr = [5e-05] +[2024-05-24 15:58:48,696] - INFO: Epoch 6151/9999, Iter 307540: Loss = 0.011772488243877888, lr = [5e-05] +[2024-05-24 15:59:16,446] - INFO: Epoch 6152/9999, Iter 307560: Loss = 0.01250605657696724, lr = [5e-05] +[2024-05-24 15:59:45,206] - INFO: Epoch 6152/9999, Iter 307580: Loss = 0.01207716017961502, lr = [5e-05] +[2024-05-24 16:00:14,127] - INFO: Epoch 6153/9999, Iter 307600: Loss = 0.010641884058713913, lr = [5e-05] +[2024-05-24 16:00:42,039] - INFO: Epoch 6153/9999, Iter 307620: Loss = 0.012112217023968697, lr = [5e-05] +[2024-05-24 16:01:10,155] - INFO: Epoch 6153/9999, Iter 307640: Loss = 0.010695661418139935, lr = [5e-05] +[2024-05-24 16:01:38,689] - INFO: Epoch 6154/9999, Iter 307660: Loss = 0.014497313648462296, lr = [5e-05] +[2024-05-24 16:02:05,875] - INFO: Epoch 6154/9999, Iter 307680: Loss = 0.011721461080014706, lr = [5e-05] +[2024-05-24 16:02:34,815] - INFO: Epoch 6155/9999, Iter 307700: Loss = 0.01053315494209528, lr = [5e-05] +[2024-05-24 16:03:02,028] - INFO: Epoch 6155/9999, Iter 307720: Loss = 0.01176029909402132, lr = [5e-05] +[2024-05-24 16:03:29,915] - INFO: Epoch 6155/9999, Iter 307740: Loss = 0.014051423408091068, lr = [5e-05] +[2024-05-24 16:03:41,983] - INFO: Evaluate at epoch 6155! +[2024-05-24 16:03:46,096] - INFO: Eval PSNR (max): 38.043 (6120) SSIM (max): 0.9611 (5335) +[2024-05-24 16:03:46,097] - INFO: Eval PSNR (current): 38.005 (6155) SSIM (current): 0.9609 (6155) +[2024-05-24 16:03:46,097] - INFO: Evaluation over. +[2024-05-24 16:04:04,107] - INFO: Epoch 6156/9999, Iter 307760: Loss = 0.014007696881890297, lr = [5e-05] +[2024-05-24 16:04:31,814] - INFO: Epoch 6156/9999, Iter 307780: Loss = 0.008012039586901665, lr = [5e-05] +[2024-05-24 16:05:01,178] - INFO: Epoch 6157/9999, Iter 307800: Loss = 0.007980131544172764, lr = [5e-05] +[2024-05-24 16:05:28,517] - INFO: Epoch 6157/9999, Iter 307820: Loss = 0.01190060842782259, lr = [5e-05] +[2024-05-24 16:05:56,479] - INFO: Epoch 6157/9999, Iter 307840: Loss = 0.012545239180326462, lr = [5e-05] +[2024-05-24 16:06:25,393] - INFO: Epoch 6158/9999, Iter 307860: Loss = 0.011179083026945591, lr = [5e-05] +[2024-05-24 16:06:53,624] - INFO: Epoch 6158/9999, Iter 307880: Loss = 0.01593748852610588, lr = [5e-05] +[2024-05-24 16:07:22,432] - INFO: Epoch 6159/9999, Iter 307900: Loss = 0.012135331518948078, lr = [5e-05] +[2024-05-24 16:07:49,900] - INFO: Epoch 6159/9999, Iter 307920: Loss = 0.01160275749862194, lr = [5e-05] +[2024-05-24 16:08:16,656] - INFO: Epoch 6159/9999, Iter 307940: Loss = 0.011344448663294315, lr = [5e-05] +[2024-05-24 16:08:45,567] - INFO: Epoch 6160/9999, Iter 307960: Loss = 0.008476651273667812, lr = [5e-05] +[2024-05-24 16:09:13,123] - INFO: Epoch 6160/9999, Iter 307980: Loss = 0.009093675762414932, lr = [5e-05] +[2024-05-24 16:09:39,953] - INFO: Evaluate at epoch 6160! +[2024-05-24 16:09:46,073] - INFO: Eval PSNR (max): 38.049 (6160) SSIM (max): 0.9611 (5335) +[2024-05-24 16:09:46,073] - INFO: Eval PSNR (current): 38.049 (6160) SSIM (current): 0.9610 (6160) +[2024-05-24 16:09:46,073] - INFO: Evaluation over. +[2024-05-24 16:09:50,263] - INFO: Epoch 6161/9999, Iter 308000: Loss = 0.013101390562951565, lr = [5e-05] +[2024-05-24 16:10:17,701] - INFO: Epoch 6161/9999, Iter 308020: Loss = 0.013109767809510231, lr = [5e-05] +[2024-05-24 16:10:46,039] - INFO: Epoch 6161/9999, Iter 308040: Loss = 0.01405274122953415, lr = [5e-05] +[2024-05-24 16:11:14,932] - INFO: Epoch 6162/9999, Iter 308060: Loss = 0.015262371860444546, lr = [5e-05] +[2024-05-24 16:11:41,991] - INFO: Epoch 6162/9999, Iter 308080: Loss = 0.014968960545957088, lr = [5e-05] +[2024-05-24 16:12:10,729] - INFO: Epoch 6163/9999, Iter 308100: Loss = 0.014727864414453506, lr = [5e-05] +[2024-05-24 16:12:37,433] - INFO: Epoch 6163/9999, Iter 308120: Loss = 0.005685456562787294, lr = [5e-05] +[2024-05-24 16:13:04,571] - INFO: Epoch 6163/9999, Iter 308140: Loss = 0.012754149734973907, lr = [5e-05] +[2024-05-24 16:13:33,595] - INFO: Epoch 6164/9999, Iter 308160: Loss = 0.011055681854486465, lr = [5e-05] +[2024-05-24 16:14:01,339] - INFO: Epoch 6164/9999, Iter 308180: Loss = 0.01773730292916298, lr = [5e-05] +[2024-05-24 16:14:30,495] - INFO: Epoch 6165/9999, Iter 308200: Loss = 0.00832733977586031, lr = [5e-05] +[2024-05-24 16:14:57,737] - INFO: Epoch 6165/9999, Iter 308220: Loss = 0.016308745369315147, lr = [5e-05] +[2024-05-24 16:15:25,570] - INFO: Epoch 6165/9999, Iter 308240: Loss = 0.015304314903914928, lr = [5e-05] +[2024-05-24 16:15:38,010] - INFO: Evaluate at epoch 6165! +[2024-05-24 16:15:42,123] - INFO: Eval PSNR (max): 38.049 (6160) SSIM (max): 0.9611 (5335) +[2024-05-24 16:15:42,123] - INFO: Eval PSNR (current): 38.010 (6165) SSIM (current): 0.9609 (6165) +[2024-05-24 16:15:42,123] - INFO: Evaluation over. +[2024-05-24 16:16:01,750] - INFO: Epoch 6166/9999, Iter 308260: Loss = 0.011631635017693043, lr = [5e-05] +[2024-05-24 16:16:29,915] - INFO: Epoch 6166/9999, Iter 308280: Loss = 0.007803226355463266, lr = [5e-05] +[2024-05-24 16:16:58,428] - INFO: Epoch 6167/9999, Iter 308300: Loss = 0.010268829762935638, lr = [5e-05] +[2024-05-24 16:17:26,296] - INFO: Epoch 6167/9999, Iter 308320: Loss = 0.012225757353007793, lr = [5e-05] +[2024-05-24 16:17:52,488] - INFO: Epoch 6167/9999, Iter 308340: Loss = 0.01187384594231844, lr = [5e-05] +[2024-05-24 16:18:22,235] - INFO: Epoch 6168/9999, Iter 308360: Loss = 0.01746392622590065, lr = [5e-05] +[2024-05-24 16:18:49,531] - INFO: Epoch 6168/9999, Iter 308380: Loss = 0.007138653192669153, lr = [5e-05] +[2024-05-24 16:19:17,815] - INFO: Epoch 6169/9999, Iter 308400: Loss = 0.012611424550414085, lr = [5e-05] +[2024-05-24 16:19:45,658] - INFO: Epoch 6169/9999, Iter 308420: Loss = 0.006510556675493717, lr = [5e-05] +[2024-05-24 16:20:13,243] - INFO: Epoch 6169/9999, Iter 308440: Loss = 0.022616157308220863, lr = [5e-05] +[2024-05-24 16:20:42,131] - INFO: Epoch 6170/9999, Iter 308460: Loss = 0.016258159652352333, lr = [5e-05] +[2024-05-24 16:21:09,653] - INFO: Epoch 6170/9999, Iter 308480: Loss = 0.010227912105619907, lr = [5e-05] +[2024-05-24 16:21:35,397] - INFO: Evaluate at epoch 6170! +[2024-05-24 16:21:39,508] - INFO: Eval PSNR (max): 38.049 (6160) SSIM (max): 0.9611 (5335) +[2024-05-24 16:21:39,508] - INFO: Eval PSNR (current): 38.038 (6170) SSIM (current): 0.9610 (6170) +[2024-05-24 16:21:39,508] - INFO: Evaluation over. +[2024-05-24 16:21:44,203] - INFO: Epoch 6171/9999, Iter 308500: Loss = 0.008954199030995369, lr = [5e-05] +[2024-05-24 16:22:11,867] - INFO: Epoch 6171/9999, Iter 308520: Loss = 0.011175085790455341, lr = [5e-05] +[2024-05-24 16:22:39,911] - INFO: Epoch 6171/9999, Iter 308540: Loss = 0.010146145708858967, lr = [5e-05] +[2024-05-24 16:23:09,295] - INFO: Epoch 6172/9999, Iter 308560: Loss = 0.02305596135556698, lr = [5e-05] +[2024-05-24 16:23:37,719] - INFO: Epoch 6172/9999, Iter 308580: Loss = 0.014528311789035797, lr = [5e-05] +[2024-05-24 16:24:06,304] - INFO: Epoch 6173/9999, Iter 308600: Loss = 0.011020058766007423, lr = [5e-05] +[2024-05-24 16:24:34,281] - INFO: Epoch 6173/9999, Iter 308620: Loss = 0.02144160121679306, lr = [5e-05] +[2024-05-24 16:25:00,976] - INFO: Epoch 6173/9999, Iter 308640: Loss = 0.011677682399749756, lr = [5e-05] +[2024-05-24 16:25:29,619] - INFO: Epoch 6174/9999, Iter 308660: Loss = 0.014204833656549454, lr = [5e-05] +[2024-05-24 16:25:57,415] - INFO: Epoch 6174/9999, Iter 308680: Loss = 0.007583914790302515, lr = [5e-05] +[2024-05-24 16:26:26,308] - INFO: Epoch 6175/9999, Iter 308700: Loss = 0.012600518763065338, lr = [5e-05] +[2024-05-24 16:26:54,595] - INFO: Epoch 6175/9999, Iter 308720: Loss = 0.01082842331379652, lr = [5e-05] +[2024-05-24 16:27:21,733] - INFO: Epoch 6175/9999, Iter 308740: Loss = 0.012953420169651508, lr = [5e-05] +[2024-05-24 16:27:34,390] - INFO: Evaluate at epoch 6175! +[2024-05-24 16:27:38,505] - INFO: Eval PSNR (max): 38.049 (6160) SSIM (max): 0.9611 (5335) +[2024-05-24 16:27:38,505] - INFO: Eval PSNR (current): 38.021 (6175) SSIM (current): 0.9609 (6175) +[2024-05-24 16:27:38,505] - INFO: Evaluation over. +[2024-05-24 16:27:57,516] - INFO: Epoch 6176/9999, Iter 308760: Loss = 0.014615875668823719, lr = [5e-05] +[2024-05-24 16:28:25,311] - INFO: Epoch 6176/9999, Iter 308780: Loss = 0.007270404137670994, lr = [5e-05] +[2024-05-24 16:28:54,947] - INFO: Epoch 6177/9999, Iter 308800: Loss = 0.014292658306658268, lr = [5e-05] +[2024-05-24 16:29:23,167] - INFO: Epoch 6177/9999, Iter 308820: Loss = 0.01566353812813759, lr = [5e-05] +[2024-05-24 16:29:51,419] - INFO: Epoch 6177/9999, Iter 308840: Loss = 0.011832069605588913, lr = [5e-05] +[2024-05-24 16:30:20,626] - INFO: Epoch 6178/9999, Iter 308860: Loss = 0.011171208694577217, lr = [5e-05] +[2024-05-24 16:30:49,182] - INFO: Epoch 6178/9999, Iter 308880: Loss = 0.011557517573237419, lr = [5e-05] +[2024-05-24 16:31:17,715] - INFO: Epoch 6179/9999, Iter 308900: Loss = 0.009228958748281002, lr = [5e-05] +[2024-05-24 16:31:45,898] - INFO: Epoch 6179/9999, Iter 308920: Loss = 0.01601468026638031, lr = [5e-05] +[2024-05-24 16:32:12,618] - INFO: Epoch 6179/9999, Iter 308940: Loss = 0.009926707483828068, lr = [5e-05] +[2024-05-24 16:32:41,385] - INFO: Epoch 6180/9999, Iter 308960: Loss = 0.019015224650502205, lr = [5e-05] +[2024-05-24 16:33:09,131] - INFO: Epoch 6180/9999, Iter 308980: Loss = 0.009004516527056694, lr = [5e-05] +[2024-05-24 16:33:35,863] - INFO: Evaluate at epoch 6180! +[2024-05-24 16:33:40,063] - INFO: Eval PSNR (max): 38.049 (6160) SSIM (max): 0.9611 (5335) +[2024-05-24 16:33:40,063] - INFO: Eval PSNR (current): 38.028 (6180) SSIM (current): 0.9609 (6180) +[2024-05-24 16:33:40,063] - INFO: Evaluation over. +[2024-05-24 16:33:44,773] - INFO: Epoch 6181/9999, Iter 309000: Loss = 0.00815563090145588, lr = [5e-05] +[2024-05-24 16:34:13,088] - INFO: Epoch 6181/9999, Iter 309020: Loss = 0.01384107954800129, lr = [5e-05] +[2024-05-24 16:34:41,489] - INFO: Epoch 6181/9999, Iter 309040: Loss = 0.019477663561701775, lr = [5e-05] +[2024-05-24 16:35:09,623] - INFO: Epoch 6182/9999, Iter 309060: Loss = 0.012864894233644009, lr = [5e-05] +[2024-05-24 16:35:36,939] - INFO: Epoch 6182/9999, Iter 309080: Loss = 0.011665242724120617, lr = [5e-05] +[2024-05-24 16:36:06,355] - INFO: Epoch 6183/9999, Iter 309100: Loss = 0.010356397368013859, lr = [5e-05] +[2024-05-24 16:36:33,439] - INFO: Epoch 6183/9999, Iter 309120: Loss = 0.008817092515528202, lr = [5e-05] +[2024-05-24 16:37:00,446] - INFO: Epoch 6183/9999, Iter 309140: Loss = 0.01038037147372961, lr = [5e-05] +[2024-05-24 16:37:29,213] - INFO: Epoch 6184/9999, Iter 309160: Loss = 0.016613034531474113, lr = [5e-05] +[2024-05-24 16:37:56,410] - INFO: Epoch 6184/9999, Iter 309180: Loss = 0.015080934390425682, lr = [5e-05] +[2024-05-24 16:38:25,295] - INFO: Epoch 6185/9999, Iter 309200: Loss = 0.014092450961470604, lr = [5e-05] +[2024-05-24 16:38:53,940] - INFO: Epoch 6185/9999, Iter 309220: Loss = 0.016094479709863663, lr = [5e-05] +[2024-05-24 16:39:21,647] - INFO: Epoch 6185/9999, Iter 309240: Loss = 0.014799032360315323, lr = [5e-05] +[2024-05-24 16:39:33,933] - INFO: Evaluate at epoch 6185! +[2024-05-24 16:39:38,042] - INFO: Eval PSNR (max): 38.049 (6160) SSIM (max): 0.9611 (5335) +[2024-05-24 16:39:38,043] - INFO: Eval PSNR (current): 38.035 (6185) SSIM (current): 0.9609 (6185) +[2024-05-24 16:39:38,043] - INFO: Evaluation over. +[2024-05-24 16:39:56,611] - INFO: Epoch 6186/9999, Iter 309260: Loss = 0.008225995115935802, lr = [5e-05] +[2024-05-24 16:40:24,847] - INFO: Epoch 6186/9999, Iter 309280: Loss = 0.01248552929610014, lr = [5e-05] +[2024-05-24 16:40:53,717] - INFO: Epoch 6187/9999, Iter 309300: Loss = 0.013702196069061756, lr = [5e-05] +[2024-05-24 16:41:21,137] - INFO: Epoch 6187/9999, Iter 309320: Loss = 0.01595495082437992, lr = [5e-05] +[2024-05-24 16:41:49,603] - INFO: Epoch 6187/9999, Iter 309340: Loss = 0.011865586042404175, lr = [5e-05] +[2024-05-24 16:42:18,329] - INFO: Epoch 6188/9999, Iter 309360: Loss = 0.011207735165953636, lr = [5e-05] +[2024-05-24 16:42:46,307] - INFO: Epoch 6188/9999, Iter 309380: Loss = 0.011310690082609653, lr = [5e-05] +[2024-05-24 16:43:14,871] - INFO: Epoch 6189/9999, Iter 309400: Loss = 0.011431771330535412, lr = [5e-05] +[2024-05-24 16:43:42,921] - INFO: Epoch 6189/9999, Iter 309420: Loss = 0.014369407668709755, lr = [5e-05] +[2024-05-24 16:44:11,203] - INFO: Epoch 6189/9999, Iter 309440: Loss = 0.014289886690676212, lr = [5e-05] +[2024-05-24 16:44:39,195] - INFO: Epoch 6190/9999, Iter 309460: Loss = 0.018421528860926628, lr = [5e-05] +[2024-05-24 16:45:06,755] - INFO: Epoch 6190/9999, Iter 309480: Loss = 0.01720787025988102, lr = [5e-05] +[2024-05-24 16:45:32,873] - INFO: Evaluate at epoch 6190! +[2024-05-24 16:45:36,989] - INFO: Eval PSNR (max): 38.049 (6160) SSIM (max): 0.9611 (5335) +[2024-05-24 16:45:36,989] - INFO: Eval PSNR (current): 37.997 (6190) SSIM (current): 0.9609 (6190) +[2024-05-24 16:45:36,989] - INFO: Evaluation over. +[2024-05-24 16:45:41,331] - INFO: Epoch 6191/9999, Iter 309500: Loss = 0.009434256702661514, lr = [5e-05] +[2024-05-24 16:46:08,383] - INFO: Epoch 6191/9999, Iter 309520: Loss = 0.007901407778263092, lr = [5e-05] +[2024-05-24 16:46:35,993] - INFO: Epoch 6191/9999, Iter 309540: Loss = 0.012272085063159466, lr = [5e-05] +[2024-05-24 16:47:05,358] - INFO: Epoch 6192/9999, Iter 309560: Loss = 0.012828201986849308, lr = [5e-05] +[2024-05-24 16:47:33,499] - INFO: Epoch 6192/9999, Iter 309580: Loss = 0.013653766363859177, lr = [5e-05] +[2024-05-24 16:48:02,421] - INFO: Epoch 6193/9999, Iter 309600: Loss = 0.013244085945189, lr = [5e-05] +[2024-05-24 16:48:30,665] - INFO: Epoch 6193/9999, Iter 309620: Loss = 0.01002899557352066, lr = [5e-05] +[2024-05-24 16:48:57,871] - INFO: Epoch 6193/9999, Iter 309640: Loss = 0.018804427236318588, lr = [5e-05] +[2024-05-24 16:49:26,720] - INFO: Epoch 6194/9999, Iter 309660: Loss = 0.010287795215845108, lr = [5e-05] +[2024-05-24 16:49:54,367] - INFO: Epoch 6194/9999, Iter 309680: Loss = 0.017395008355379105, lr = [5e-05] +[2024-05-24 16:50:23,871] - INFO: Epoch 6195/9999, Iter 309700: Loss = 0.013419871218502522, lr = [5e-05] +[2024-05-24 16:50:51,699] - INFO: Epoch 6195/9999, Iter 309720: Loss = 0.008459482342004776, lr = [5e-05] +[2024-05-24 16:51:20,005] - INFO: Epoch 6195/9999, Iter 309740: Loss = 0.007631125394254923, lr = [5e-05] +[2024-05-24 16:51:32,098] - INFO: Evaluate at epoch 6195! +[2024-05-24 16:51:36,324] - INFO: Eval PSNR (max): 38.049 (6160) SSIM (max): 0.9611 (5335) +[2024-05-24 16:51:36,324] - INFO: Eval PSNR (current): 37.989 (6195) SSIM (current): 0.9608 (6195) +[2024-05-24 16:51:36,324] - INFO: Evaluation over. +[2024-05-24 16:51:54,231] - INFO: Epoch 6196/9999, Iter 309760: Loss = 0.009412555955350399, lr = [5e-05] +[2024-05-24 16:52:21,102] - INFO: Epoch 6196/9999, Iter 309780: Loss = 0.01399808470159769, lr = [5e-05] +[2024-05-24 16:52:50,882] - INFO: Epoch 6197/9999, Iter 309800: Loss = 0.014713854528963566, lr = [5e-05] +[2024-05-24 16:53:18,591] - INFO: Epoch 6197/9999, Iter 309820: Loss = 0.011298556812107563, lr = [5e-05] +[2024-05-24 16:53:46,828] - INFO: Epoch 6197/9999, Iter 309840: Loss = 0.012477259151637554, lr = [5e-05] +[2024-05-24 16:54:15,517] - INFO: Epoch 6198/9999, Iter 309860: Loss = 0.011959022842347622, lr = [5e-05] +[2024-05-24 16:54:43,148] - INFO: Epoch 6198/9999, Iter 309880: Loss = 0.01945718750357628, lr = [5e-05] +[2024-05-24 16:55:12,539] - INFO: Epoch 6199/9999, Iter 309900: Loss = 0.018761057406663895, lr = [5e-05] +[2024-05-24 16:55:40,180] - INFO: Epoch 6199/9999, Iter 309920: Loss = 0.013092265464365482, lr = [5e-05] +[2024-05-24 16:56:07,516] - INFO: Epoch 6199/9999, Iter 309940: Loss = 0.007378216367214918, lr = [5e-05] +[2024-05-24 16:56:36,605] - INFO: Epoch 6200/9999, Iter 309960: Loss = 0.008936998434364796, lr = [5e-05] +[2024-05-24 16:57:03,827] - INFO: Epoch 6200/9999, Iter 309980: Loss = 0.015024460852146149, lr = [5e-05] +[2024-05-24 16:57:29,517] - INFO: Evaluate at epoch 6200! +[2024-05-24 16:57:33,558] - INFO: Eval PSNR (max): 38.049 (6160) SSIM (max): 0.9611 (5335) +[2024-05-24 16:57:33,558] - INFO: Eval PSNR (current): 37.975 (6200) SSIM (current): 0.9609 (6200) +[2024-05-24 16:57:33,558] - INFO: Evaluation over. +[2024-05-24 16:57:37,883] - INFO: Epoch 6201/9999, Iter 310000: Loss = 0.009909230284392834, lr = [5e-05] +[2024-05-24 16:58:05,720] - INFO: Epoch 6201/9999, Iter 310020: Loss = 0.01123602781444788, lr = [5e-05] +[2024-05-24 16:58:33,019] - INFO: Epoch 6201/9999, Iter 310040: Loss = 0.014252075925469398, lr = [5e-05] +[2024-05-24 16:59:01,263] - INFO: Epoch 6202/9999, Iter 310060: Loss = 0.011490565724670887, lr = [5e-05] +[2024-05-24 16:59:28,612] - INFO: Epoch 6202/9999, Iter 310080: Loss = 0.011834271252155304, lr = [5e-05] +[2024-05-24 16:59:57,339] - INFO: Epoch 6203/9999, Iter 310100: Loss = 0.012217230163514614, lr = [5e-05] +[2024-05-24 17:00:25,994] - INFO: Epoch 6203/9999, Iter 310120: Loss = 0.008774841204285622, lr = [5e-05] +[2024-05-24 17:00:54,081] - INFO: Epoch 6203/9999, Iter 310140: Loss = 0.012127450667321682, lr = [5e-05] +[2024-05-24 17:01:23,166] - INFO: Epoch 6204/9999, Iter 310160: Loss = 0.012926079332828522, lr = [5e-05] +[2024-05-24 17:01:51,555] - INFO: Epoch 6204/9999, Iter 310180: Loss = 0.012676442973315716, lr = [5e-05] +[2024-05-24 17:02:20,519] - INFO: Epoch 6205/9999, Iter 310200: Loss = 0.009906280785799026, lr = [5e-05] +[2024-05-24 17:02:48,606] - INFO: Epoch 6205/9999, Iter 310220: Loss = 0.00826152041554451, lr = [5e-05] +[2024-05-24 17:03:16,591] - INFO: Epoch 6205/9999, Iter 310240: Loss = 0.01175827905535698, lr = [5e-05] +[2024-05-24 17:03:28,282] - INFO: Evaluate at epoch 6205! +[2024-05-24 17:03:32,369] - INFO: Eval PSNR (max): 38.049 (6160) SSIM (max): 0.9611 (5335) +[2024-05-24 17:03:32,369] - INFO: Eval PSNR (current): 38.041 (6205) SSIM (current): 0.9609 (6205) +[2024-05-24 17:03:32,369] - INFO: Evaluation over. +[2024-05-24 17:03:51,118] - INFO: Epoch 6206/9999, Iter 310260: Loss = 0.010535948909819126, lr = [5e-05] +[2024-05-24 17:04:19,771] - INFO: Epoch 6206/9999, Iter 310280: Loss = 0.012795830145478249, lr = [5e-05] +[2024-05-24 17:04:47,891] - INFO: Epoch 6207/9999, Iter 310300: Loss = 0.009152499958872795, lr = [5e-05] +[2024-05-24 17:05:14,843] - INFO: Epoch 6207/9999, Iter 310320: Loss = 0.009936516173183918, lr = [5e-05] +[2024-05-24 17:05:42,378] - INFO: Epoch 6207/9999, Iter 310340: Loss = 0.012803357094526291, lr = [5e-05] +[2024-05-24 17:06:11,843] - INFO: Epoch 6208/9999, Iter 310360: Loss = 0.010639558546245098, lr = [5e-05] +[2024-05-24 17:06:38,268] - INFO: Epoch 6208/9999, Iter 310380: Loss = 0.015770509839057922, lr = [5e-05] +[2024-05-24 17:07:07,654] - INFO: Epoch 6209/9999, Iter 310400: Loss = 0.01087681669741869, lr = [5e-05] +[2024-05-24 17:07:34,728] - INFO: Epoch 6209/9999, Iter 310420: Loss = 0.013693118467926979, lr = [5e-05] +[2024-05-24 17:08:02,355] - INFO: Epoch 6209/9999, Iter 310440: Loss = 0.009271644987165928, lr = [5e-05] +[2024-05-24 17:08:32,391] - INFO: Epoch 6210/9999, Iter 310460: Loss = 0.012148682959377766, lr = [5e-05] +[2024-05-24 17:09:00,848] - INFO: Epoch 6210/9999, Iter 310480: Loss = 0.01600360870361328, lr = [5e-05] +[2024-05-24 17:09:26,212] - INFO: Evaluate at epoch 6210! +[2024-05-24 17:09:30,289] - INFO: Eval PSNR (max): 38.049 (6160) SSIM (max): 0.9611 (5335) +[2024-05-24 17:09:30,289] - INFO: Eval PSNR (current): 38.033 (6210) SSIM (current): 0.9609 (6210) +[2024-05-24 17:09:30,289] - INFO: Evaluation over. +[2024-05-24 17:09:34,923] - INFO: Epoch 6211/9999, Iter 310500: Loss = 0.016651049256324768, lr = [5e-05] +[2024-05-24 17:10:01,543] - INFO: Epoch 6211/9999, Iter 310520: Loss = 0.012079055421054363, lr = [5e-05] +[2024-05-24 17:10:29,467] - INFO: Epoch 6211/9999, Iter 310540: Loss = 0.020544318482279778, lr = [5e-05] +[2024-05-24 17:10:58,627] - INFO: Epoch 6212/9999, Iter 310560: Loss = 0.012328345328569412, lr = [5e-05] +[2024-05-24 17:11:26,187] - INFO: Epoch 6212/9999, Iter 310580: Loss = 0.009497170336544514, lr = [5e-05] +[2024-05-24 17:11:54,434] - INFO: Epoch 6213/9999, Iter 310600: Loss = 0.011246115900576115, lr = [5e-05] +[2024-05-24 17:12:22,804] - INFO: Epoch 6213/9999, Iter 310620: Loss = 0.01746199280023575, lr = [5e-05] +[2024-05-24 17:12:50,519] - INFO: Epoch 6213/9999, Iter 310640: Loss = 0.01423280406743288, lr = [5e-05] +[2024-05-24 17:13:20,478] - INFO: Epoch 6214/9999, Iter 310660: Loss = 0.018123140558600426, lr = [5e-05] +[2024-05-24 17:13:48,361] - INFO: Epoch 6214/9999, Iter 310680: Loss = 0.010290088132023811, lr = [5e-05] +[2024-05-24 17:14:17,399] - INFO: Epoch 6215/9999, Iter 310700: Loss = 0.020856082439422607, lr = [5e-05] +[2024-05-24 17:14:44,460] - INFO: Epoch 6215/9999, Iter 310720: Loss = 0.007826452143490314, lr = [5e-05] +[2024-05-24 17:15:11,997] - INFO: Epoch 6215/9999, Iter 310740: Loss = 0.009337885305285454, lr = [5e-05] +[2024-05-24 17:15:24,991] - INFO: Evaluate at epoch 6215! +[2024-05-24 17:15:29,078] - INFO: Eval PSNR (max): 38.049 (6160) SSIM (max): 0.9611 (5335) +[2024-05-24 17:15:29,078] - INFO: Eval PSNR (current): 38.025 (6215) SSIM (current): 0.9609 (6215) +[2024-05-24 17:15:29,078] - INFO: Evaluation over. +[2024-05-24 17:15:48,219] - INFO: Epoch 6216/9999, Iter 310760: Loss = 0.01380994077771902, lr = [5e-05] +[2024-05-24 17:16:15,926] - INFO: Epoch 6216/9999, Iter 310780: Loss = 0.01232491247355938, lr = [5e-05] +[2024-05-24 17:16:44,251] - INFO: Epoch 6217/9999, Iter 310800: Loss = 0.015086770057678223, lr = [5e-05] +[2024-05-24 17:17:12,519] - INFO: Epoch 6217/9999, Iter 310820: Loss = 0.009547410532832146, lr = [5e-05] +[2024-05-24 17:17:40,612] - INFO: Epoch 6217/9999, Iter 310840: Loss = 0.011549511924386024, lr = [5e-05] +[2024-05-24 17:18:09,561] - INFO: Epoch 6218/9999, Iter 310860: Loss = 0.012399736791849136, lr = [5e-05] +[2024-05-24 17:18:37,476] - INFO: Epoch 6218/9999, Iter 310880: Loss = 0.007256358861923218, lr = [5e-05] +[2024-05-24 17:19:05,696] - INFO: Epoch 6219/9999, Iter 310900: Loss = 0.01713169366121292, lr = [5e-05] +[2024-05-24 17:19:33,027] - INFO: Epoch 6219/9999, Iter 310920: Loss = 0.012541280128061771, lr = [5e-05] +[2024-05-24 17:20:01,031] - INFO: Epoch 6219/9999, Iter 310940: Loss = 0.010175689123570919, lr = [5e-05] +[2024-05-24 17:20:30,623] - INFO: Epoch 6220/9999, Iter 310960: Loss = 0.01670018583536148, lr = [5e-05] +[2024-05-24 17:20:58,646] - INFO: Epoch 6220/9999, Iter 310980: Loss = 0.01593562215566635, lr = [5e-05] +[2024-05-24 17:21:24,568] - INFO: Evaluate at epoch 6220! +[2024-05-24 17:21:28,650] - INFO: Eval PSNR (max): 38.049 (6160) SSIM (max): 0.9611 (5335) +[2024-05-24 17:21:28,650] - INFO: Eval PSNR (current): 38.020 (6220) SSIM (current): 0.9609 (6220) +[2024-05-24 17:21:28,651] - INFO: Evaluation over. +[2024-05-24 17:21:33,948] - INFO: Epoch 6221/9999, Iter 311000: Loss = 0.019094737246632576, lr = [5e-05] +[2024-05-24 17:22:01,078] - INFO: Epoch 6221/9999, Iter 311020: Loss = 0.013835047371685505, lr = [5e-05] +[2024-05-24 17:22:30,246] - INFO: Epoch 6221/9999, Iter 311040: Loss = 0.017765047028660774, lr = [5e-05] +[2024-05-24 17:22:58,609] - INFO: Epoch 6222/9999, Iter 311060: Loss = 0.008759967051446438, lr = [5e-05] +[2024-05-24 17:23:26,272] - INFO: Epoch 6222/9999, Iter 311080: Loss = 0.010392606258392334, lr = [5e-05] +[2024-05-24 17:23:55,303] - INFO: Epoch 6223/9999, Iter 311100: Loss = 0.017475230619311333, lr = [5e-05] +[2024-05-24 17:24:23,553] - INFO: Epoch 6223/9999, Iter 311120: Loss = 0.018174326047301292, lr = [5e-05] +[2024-05-24 17:24:51,134] - INFO: Epoch 6223/9999, Iter 311140: Loss = 0.008072645403444767, lr = [5e-05] +[2024-05-24 17:25:20,471] - INFO: Epoch 6224/9999, Iter 311160: Loss = 0.014479498378932476, lr = [5e-05] +[2024-05-24 17:25:48,825] - INFO: Epoch 6224/9999, Iter 311180: Loss = 0.011180859990417957, lr = [5e-05] +[2024-05-24 17:26:17,256] - INFO: Epoch 6225/9999, Iter 311200: Loss = 0.019092807546257973, lr = [5e-05] +[2024-05-24 17:26:45,461] - INFO: Epoch 6225/9999, Iter 311220: Loss = 0.012601272203028202, lr = [5e-05] +[2024-05-24 17:27:13,530] - INFO: Epoch 6225/9999, Iter 311240: Loss = 0.011059745214879513, lr = [5e-05] +[2024-05-24 17:27:25,380] - INFO: Evaluate at epoch 6225! +[2024-05-24 17:27:29,455] - INFO: Eval PSNR (max): 38.049 (6160) SSIM (max): 0.9611 (5335) +[2024-05-24 17:27:29,456] - INFO: Eval PSNR (current): 38.044 (6225) SSIM (current): 0.9609 (6225) +[2024-05-24 17:27:29,456] - INFO: Evaluation over. +[2024-05-24 17:27:47,594] - INFO: Epoch 6226/9999, Iter 311260: Loss = 0.012333539314568043, lr = [5e-05] +[2024-05-24 17:28:16,978] - INFO: Epoch 6226/9999, Iter 311280: Loss = 0.01578652858734131, lr = [5e-05] +[2024-05-24 17:28:45,555] - INFO: Epoch 6227/9999, Iter 311300: Loss = 0.010389644652605057, lr = [5e-05] +[2024-05-24 17:29:12,569] - INFO: Epoch 6227/9999, Iter 311320: Loss = 0.009985450655221939, lr = [5e-05] +[2024-05-24 17:29:40,765] - INFO: Epoch 6227/9999, Iter 311340: Loss = 0.014781075529754162, lr = [5e-05] +[2024-05-24 17:30:09,311] - INFO: Epoch 6228/9999, Iter 311360: Loss = 0.010324740782380104, lr = [5e-05] +[2024-05-24 17:30:37,647] - INFO: Epoch 6228/9999, Iter 311380: Loss = 0.013087987899780273, lr = [5e-05] +[2024-05-24 17:31:05,903] - INFO: Epoch 6229/9999, Iter 311400: Loss = 0.01841018535196781, lr = [5e-05] +[2024-05-24 17:31:34,099] - INFO: Epoch 6229/9999, Iter 311420: Loss = 0.015173845924437046, lr = [5e-05] +[2024-05-24 17:32:01,867] - INFO: Epoch 6229/9999, Iter 311440: Loss = 0.011404723860323429, lr = [5e-05] +[2024-05-24 17:32:31,203] - INFO: Epoch 6230/9999, Iter 311460: Loss = 0.009414422325789928, lr = [5e-05] +[2024-05-24 17:32:59,695] - INFO: Epoch 6230/9999, Iter 311480: Loss = 0.009432287886738777, lr = [5e-05] +[2024-05-24 17:33:25,143] - INFO: Evaluate at epoch 6230! +[2024-05-24 17:33:29,227] - INFO: Eval PSNR (max): 38.049 (6160) SSIM (max): 0.9611 (5335) +[2024-05-24 17:33:29,227] - INFO: Eval PSNR (current): 38.002 (6230) SSIM (current): 0.9609 (6230) +[2024-05-24 17:33:29,227] - INFO: Evaluation over. +[2024-05-24 17:33:33,996] - INFO: Epoch 6231/9999, Iter 311500: Loss = 0.011695397086441517, lr = [5e-05] +[2024-05-24 17:34:02,479] - INFO: Epoch 6231/9999, Iter 311520: Loss = 0.009970125742256641, lr = [5e-05] +[2024-05-24 17:34:30,391] - INFO: Epoch 6231/9999, Iter 311540: Loss = 0.019183192402124405, lr = [5e-05] +[2024-05-24 17:34:58,977] - INFO: Epoch 6232/9999, Iter 311560: Loss = 0.01099326554685831, lr = [5e-05] +[2024-05-24 17:35:26,652] - INFO: Epoch 6232/9999, Iter 311580: Loss = 0.011301131919026375, lr = [5e-05] +[2024-05-24 17:35:55,919] - INFO: Epoch 6233/9999, Iter 311600: Loss = 0.012230431661009789, lr = [5e-05] +[2024-05-24 17:36:24,570] - INFO: Epoch 6233/9999, Iter 311620: Loss = 0.012629968114197254, lr = [5e-05] +[2024-05-24 17:36:51,954] - INFO: Epoch 6233/9999, Iter 311640: Loss = 0.01026374101638794, lr = [5e-05] +[2024-05-24 17:37:20,892] - INFO: Epoch 6234/9999, Iter 311660: Loss = 0.013689286075532436, lr = [5e-05] +[2024-05-24 17:37:48,663] - INFO: Epoch 6234/9999, Iter 311680: Loss = 0.01434230711311102, lr = [5e-05] +[2024-05-24 17:38:18,312] - INFO: Epoch 6235/9999, Iter 311700: Loss = 0.012337960302829742, lr = [5e-05] +[2024-05-24 17:38:46,647] - INFO: Epoch 6235/9999, Iter 311720: Loss = 0.011776051484048367, lr = [5e-05] +[2024-05-24 17:39:15,095] - INFO: Epoch 6235/9999, Iter 311740: Loss = 0.010520338080823421, lr = [5e-05] +[2024-05-24 17:39:26,879] - INFO: Evaluate at epoch 6235! +[2024-05-24 17:39:31,001] - INFO: Eval PSNR (max): 38.049 (6160) SSIM (max): 0.9611 (5335) +[2024-05-24 17:39:31,001] - INFO: Eval PSNR (current): 37.961 (6235) SSIM (current): 0.9607 (6235) +[2024-05-24 17:39:31,002] - INFO: Evaluation over. +[2024-05-24 17:39:50,611] - INFO: Epoch 6236/9999, Iter 311760: Loss = 0.006008329335600138, lr = [5e-05] +[2024-05-24 17:40:17,664] - INFO: Epoch 6236/9999, Iter 311780: Loss = 0.019562458619475365, lr = [5e-05] +[2024-05-24 17:40:47,183] - INFO: Epoch 6237/9999, Iter 311800: Loss = 0.013433803804218769, lr = [5e-05] +[2024-05-24 17:41:13,654] - INFO: Epoch 6237/9999, Iter 311820: Loss = 0.016891565173864365, lr = [5e-05] +[2024-05-24 17:41:41,479] - INFO: Epoch 6237/9999, Iter 311840: Loss = 0.011611334048211575, lr = [5e-05] +[2024-05-24 17:42:11,071] - INFO: Epoch 6238/9999, Iter 311860: Loss = 0.015174277126789093, lr = [5e-05] +[2024-05-24 17:42:37,521] - INFO: Epoch 6238/9999, Iter 311880: Loss = 0.013796864077448845, lr = [5e-05] +[2024-05-24 17:43:06,719] - INFO: Epoch 6239/9999, Iter 311900: Loss = 0.011900309473276138, lr = [5e-05] +[2024-05-24 17:43:34,380] - INFO: Epoch 6239/9999, Iter 311920: Loss = 0.010971360839903355, lr = [5e-05] +[2024-05-24 17:44:02,413] - INFO: Epoch 6239/9999, Iter 311940: Loss = 0.017437484115362167, lr = [5e-05] +[2024-05-24 17:44:30,110] - INFO: Epoch 6240/9999, Iter 311960: Loss = 0.01524839922785759, lr = [5e-05] +[2024-05-24 17:44:58,498] - INFO: Epoch 6240/9999, Iter 311980: Loss = 0.017289701849222183, lr = [5e-05] +[2024-05-24 17:45:23,858] - INFO: Evaluate at epoch 6240! +[2024-05-24 17:45:27,935] - INFO: Eval PSNR (max): 38.049 (6160) SSIM (max): 0.9611 (5335) +[2024-05-24 17:45:27,935] - INFO: Eval PSNR (current): 37.947 (6240) SSIM (current): 0.9609 (6240) +[2024-05-24 17:45:27,935] - INFO: Evaluation over. +[2024-05-24 17:45:32,882] - INFO: Epoch 6241/9999, Iter 312000: Loss = 0.014313681051135063, lr = [5e-05] +[2024-05-24 17:46:00,370] - INFO: Epoch 6241/9999, Iter 312020: Loss = 0.01294125895947218, lr = [5e-05] +[2024-05-24 17:46:28,318] - INFO: Epoch 6241/9999, Iter 312040: Loss = 0.011010861955583096, lr = [5e-05] +[2024-05-24 17:46:57,658] - INFO: Epoch 6242/9999, Iter 312060: Loss = 0.010667911730706692, lr = [5e-05] +[2024-05-24 17:47:26,264] - INFO: Epoch 6242/9999, Iter 312080: Loss = 0.01462512370198965, lr = [5e-05] +[2024-05-24 17:47:54,048] - INFO: Epoch 6243/9999, Iter 312100: Loss = 0.010091853328049183, lr = [5e-05] +[2024-05-24 17:48:21,755] - INFO: Epoch 6243/9999, Iter 312120: Loss = 0.019185809418559074, lr = [5e-05] +[2024-05-24 17:48:50,111] - INFO: Epoch 6243/9999, Iter 312140: Loss = 0.012787598185241222, lr = [5e-05] +[2024-05-24 17:49:19,215] - INFO: Epoch 6244/9999, Iter 312160: Loss = 0.01758923940360546, lr = [5e-05] +[2024-05-24 17:49:47,199] - INFO: Epoch 6244/9999, Iter 312180: Loss = 0.00861483532935381, lr = [5e-05] +[2024-05-24 17:50:16,043] - INFO: Epoch 6245/9999, Iter 312200: Loss = 0.013939391821622849, lr = [5e-05] +[2024-05-24 17:50:42,983] - INFO: Epoch 6245/9999, Iter 312220: Loss = 0.015218730084598064, lr = [5e-05] +[2024-05-24 17:51:10,379] - INFO: Epoch 6245/9999, Iter 312240: Loss = 0.01562882401049137, lr = [5e-05] +[2024-05-24 17:51:23,293] - INFO: Evaluate at epoch 6245! +[2024-05-24 17:51:27,378] - INFO: Eval PSNR (max): 38.049 (6160) SSIM (max): 0.9611 (5335) +[2024-05-24 17:51:27,378] - INFO: Eval PSNR (current): 38.037 (6245) SSIM (current): 0.9609 (6245) +[2024-05-24 17:51:27,378] - INFO: Evaluation over. +[2024-05-24 17:51:45,867] - INFO: Epoch 6246/9999, Iter 312260: Loss = 0.015739666298031807, lr = [5e-05] +[2024-05-24 17:52:13,608] - INFO: Epoch 6246/9999, Iter 312280: Loss = 0.018416745588183403, lr = [5e-05] +[2024-05-24 17:52:41,556] - INFO: Epoch 6247/9999, Iter 312300: Loss = 0.012009966187179089, lr = [5e-05] +[2024-05-24 17:53:10,412] - INFO: Epoch 6247/9999, Iter 312320: Loss = 0.012747435830533504, lr = [5e-05] +[2024-05-24 17:53:38,546] - INFO: Epoch 6247/9999, Iter 312340: Loss = 0.01238339114934206, lr = [5e-05] +[2024-05-24 17:54:07,155] - INFO: Epoch 6248/9999, Iter 312360: Loss = 0.01274205558001995, lr = [5e-05] +[2024-05-24 17:54:34,135] - INFO: Epoch 6248/9999, Iter 312380: Loss = 0.009030329063534737, lr = [5e-05] +[2024-05-24 17:55:02,531] - INFO: Epoch 6249/9999, Iter 312400: Loss = 0.012859433889389038, lr = [5e-05] +[2024-05-24 17:55:30,746] - INFO: Epoch 6249/9999, Iter 312420: Loss = 0.01491230633109808, lr = [5e-05] +[2024-05-24 17:55:58,991] - INFO: Epoch 6249/9999, Iter 312440: Loss = 0.015954716131091118, lr = [5e-05] +[2024-05-24 17:56:28,141] - INFO: Epoch 6250/9999, Iter 312460: Loss = 0.010106254369020462, lr = [5e-05] +[2024-05-24 17:56:57,019] - INFO: Epoch 6250/9999, Iter 312480: Loss = 0.014236685819923878, lr = [5e-05] +[2024-05-24 17:57:22,661] - INFO: Evaluate at epoch 6250! +[2024-05-24 17:57:26,741] - INFO: Eval PSNR (max): 38.049 (6160) SSIM (max): 0.9611 (5335) +[2024-05-24 17:57:26,741] - INFO: Eval PSNR (current): 38.029 (6250) SSIM (current): 0.9609 (6250) +[2024-05-24 17:57:26,741] - INFO: Evaluation over. +[2024-05-24 17:57:31,996] - INFO: Epoch 6251/9999, Iter 312500: Loss = 0.013506070710718632, lr = [5e-05] +[2024-05-24 17:58:00,270] - INFO: Epoch 6251/9999, Iter 312520: Loss = 0.009720531292259693, lr = [5e-05] +[2024-05-24 17:58:28,628] - INFO: Epoch 6251/9999, Iter 312540: Loss = 0.010857706889510155, lr = [5e-05] +[2024-05-24 17:58:57,313] - INFO: Epoch 6252/9999, Iter 312560: Loss = 0.019752083346247673, lr = [5e-05] +[2024-05-24 17:59:25,223] - INFO: Epoch 6252/9999, Iter 312580: Loss = 0.018246140331029892, lr = [5e-05] +[2024-05-24 17:59:53,740] - INFO: Epoch 6253/9999, Iter 312600: Loss = 0.006939801387488842, lr = [5e-05] +[2024-05-24 18:00:21,440] - INFO: Epoch 6253/9999, Iter 312620: Loss = 0.012088972143828869, lr = [5e-05] +[2024-05-24 18:00:49,173] - INFO: Epoch 6253/9999, Iter 312640: Loss = 0.013344199396669865, lr = [5e-05] +[2024-05-24 18:01:17,667] - INFO: Epoch 6254/9999, Iter 312660: Loss = 0.013279509730637074, lr = [5e-05] +[2024-05-24 18:01:44,486] - INFO: Epoch 6254/9999, Iter 312680: Loss = 0.012891893275082111, lr = [5e-05] +[2024-05-24 18:02:13,539] - INFO: Epoch 6255/9999, Iter 312700: Loss = 0.009960678406059742, lr = [5e-05] +[2024-05-24 18:02:40,813] - INFO: Epoch 6255/9999, Iter 312720: Loss = 0.009825269691646099, lr = [5e-05] +[2024-05-24 18:03:08,530] - INFO: Epoch 6255/9999, Iter 312740: Loss = 0.01578027941286564, lr = [5e-05] +[2024-05-24 18:03:21,132] - INFO: Evaluate at epoch 6255! +[2024-05-24 18:03:27,392] - INFO: Eval PSNR (max): 38.052 (6255) SSIM (max): 0.9611 (5335) +[2024-05-24 18:03:27,393] - INFO: Eval PSNR (current): 38.052 (6255) SSIM (current): 0.9609 (6255) +[2024-05-24 18:03:27,393] - INFO: Evaluation over. +[2024-05-24 18:03:45,652] - INFO: Epoch 6256/9999, Iter 312760: Loss = 0.01964593306183815, lr = [5e-05] +[2024-05-24 18:04:13,286] - INFO: Epoch 6256/9999, Iter 312780: Loss = 0.0093173086643219, lr = [5e-05] +[2024-05-24 18:04:41,564] - INFO: Epoch 6257/9999, Iter 312800: Loss = 0.011643779464066029, lr = [5e-05] +[2024-05-24 18:05:10,498] - INFO: Epoch 6257/9999, Iter 312820: Loss = 0.020642876625061035, lr = [5e-05] +[2024-05-24 18:05:37,526] - INFO: Epoch 6257/9999, Iter 312840: Loss = 0.01778944954276085, lr = [5e-05] +[2024-05-24 18:06:06,467] - INFO: Epoch 6258/9999, Iter 312860: Loss = 0.01615821197628975, lr = [5e-05] +[2024-05-24 18:06:34,843] - INFO: Epoch 6258/9999, Iter 312880: Loss = 0.014231222681701183, lr = [5e-05] +[2024-05-24 18:07:03,926] - INFO: Epoch 6259/9999, Iter 312900: Loss = 0.015731949359178543, lr = [5e-05] +[2024-05-24 18:07:32,237] - INFO: Epoch 6259/9999, Iter 312920: Loss = 0.008916730992496014, lr = [5e-05] +[2024-05-24 18:07:59,615] - INFO: Epoch 6259/9999, Iter 312940: Loss = 0.014541531912982464, lr = [5e-05] +[2024-05-24 18:08:29,677] - INFO: Epoch 6260/9999, Iter 312960: Loss = 0.005739491432905197, lr = [5e-05] +[2024-05-24 18:08:57,827] - INFO: Epoch 6260/9999, Iter 312980: Loss = 0.009783299639821053, lr = [5e-05] +[2024-05-24 18:09:23,092] - INFO: Evaluate at epoch 6260! +[2024-05-24 18:09:27,178] - INFO: Eval PSNR (max): 38.052 (6255) SSIM (max): 0.9611 (5335) +[2024-05-24 18:09:27,178] - INFO: Eval PSNR (current): 38.014 (6260) SSIM (current): 0.9609 (6260) +[2024-05-24 18:09:27,178] - INFO: Evaluation over. +[2024-05-24 18:09:32,339] - INFO: Epoch 6261/9999, Iter 313000: Loss = 0.010055841878056526, lr = [5e-05] +[2024-05-24 18:09:59,995] - INFO: Epoch 6261/9999, Iter 313020: Loss = 0.007323250640183687, lr = [5e-05] +[2024-05-24 18:10:27,903] - INFO: Epoch 6261/9999, Iter 313040: Loss = 0.011593342758715153, lr = [5e-05] +[2024-05-24 18:10:57,557] - INFO: Epoch 6262/9999, Iter 313060: Loss = 0.013897459022700787, lr = [5e-05] +[2024-05-24 18:11:25,423] - INFO: Epoch 6262/9999, Iter 313080: Loss = 0.012352587655186653, lr = [5e-05] +[2024-05-24 18:11:54,573] - INFO: Epoch 6263/9999, Iter 313100: Loss = 0.02184399403631687, lr = [5e-05] +[2024-05-24 18:12:21,958] - INFO: Epoch 6263/9999, Iter 313120: Loss = 0.01180899329483509, lr = [5e-05] +[2024-05-24 18:12:48,732] - INFO: Epoch 6263/9999, Iter 313140: Loss = 0.022377369925379753, lr = [5e-05] +[2024-05-24 18:13:18,067] - INFO: Epoch 6264/9999, Iter 313160: Loss = 0.009639415889978409, lr = [5e-05] +[2024-05-24 18:13:45,926] - INFO: Epoch 6264/9999, Iter 313180: Loss = 0.02013418637216091, lr = [5e-05] +[2024-05-24 18:14:14,652] - INFO: Epoch 6265/9999, Iter 313200: Loss = 0.0135401776060462, lr = [5e-05] +[2024-05-24 18:14:41,567] - INFO: Epoch 6265/9999, Iter 313220: Loss = 0.015294547192752361, lr = [5e-05] +[2024-05-24 18:15:10,179] - INFO: Epoch 6265/9999, Iter 313240: Loss = 0.01429393794387579, lr = [5e-05] +[2024-05-24 18:15:22,308] - INFO: Evaluate at epoch 6265! +[2024-05-24 18:15:26,389] - INFO: Eval PSNR (max): 38.052 (6255) SSIM (max): 0.9611 (5335) +[2024-05-24 18:15:26,389] - INFO: Eval PSNR (current): 38.026 (6265) SSIM (current): 0.9609 (6265) +[2024-05-24 18:15:26,389] - INFO: Evaluation over. +[2024-05-24 18:15:44,907] - INFO: Epoch 6266/9999, Iter 313260: Loss = 0.01260728295892477, lr = [5e-05] +[2024-05-24 18:16:12,115] - INFO: Epoch 6266/9999, Iter 313280: Loss = 0.010701799765229225, lr = [5e-05] +[2024-05-24 18:16:41,231] - INFO: Epoch 6267/9999, Iter 313300: Loss = 0.02055913582444191, lr = [5e-05] +[2024-05-24 18:17:08,591] - INFO: Epoch 6267/9999, Iter 313320: Loss = 0.008970792405307293, lr = [5e-05] +[2024-05-24 18:17:35,785] - INFO: Epoch 6267/9999, Iter 313340: Loss = 0.011489189229905605, lr = [5e-05] +[2024-05-24 18:18:05,203] - INFO: Epoch 6268/9999, Iter 313360: Loss = 0.010785800404846668, lr = [5e-05] +[2024-05-24 18:18:33,700] - INFO: Epoch 6268/9999, Iter 313380: Loss = 0.007915221154689789, lr = [5e-05] +[2024-05-24 18:19:02,889] - INFO: Epoch 6269/9999, Iter 313400: Loss = 0.013417256996035576, lr = [5e-05] +[2024-05-24 18:19:30,391] - INFO: Epoch 6269/9999, Iter 313420: Loss = 0.011706697754561901, lr = [5e-05] +[2024-05-24 18:19:59,034] - INFO: Epoch 6269/9999, Iter 313440: Loss = 0.011522771790623665, lr = [5e-05] +[2024-05-24 18:20:28,146] - INFO: Epoch 6270/9999, Iter 313460: Loss = 0.012291587889194489, lr = [5e-05] +[2024-05-24 18:20:55,834] - INFO: Epoch 6270/9999, Iter 313480: Loss = 0.012090319767594337, lr = [5e-05] +[2024-05-24 18:21:22,029] - INFO: Evaluate at epoch 6270! +[2024-05-24 18:21:26,109] - INFO: Eval PSNR (max): 38.052 (6255) SSIM (max): 0.9611 (5335) +[2024-05-24 18:21:26,110] - INFO: Eval PSNR (current): 38.043 (6270) SSIM (current): 0.9609 (6270) +[2024-05-24 18:21:26,110] - INFO: Evaluation over. +[2024-05-24 18:21:30,572] - INFO: Epoch 6271/9999, Iter 313500: Loss = 0.011278603225946426, lr = [5e-05] +[2024-05-24 18:21:57,814] - INFO: Epoch 6271/9999, Iter 313520: Loss = 0.014942741021513939, lr = [5e-05] +[2024-05-24 18:22:25,434] - INFO: Epoch 6271/9999, Iter 313540: Loss = 0.011042188853025436, lr = [5e-05] +[2024-05-24 18:22:54,616] - INFO: Epoch 6272/9999, Iter 313560: Loss = 0.020771123468875885, lr = [5e-05] +[2024-05-24 18:23:22,739] - INFO: Epoch 6272/9999, Iter 313580: Loss = 0.014215677976608276, lr = [5e-05] +[2024-05-24 18:23:52,015] - INFO: Epoch 6273/9999, Iter 313600: Loss = 0.010384301654994488, lr = [5e-05] +[2024-05-24 18:24:18,957] - INFO: Epoch 6273/9999, Iter 313620: Loss = 0.006952560506761074, lr = [5e-05] +[2024-05-24 18:24:46,417] - INFO: Epoch 6273/9999, Iter 313640: Loss = 0.010464469902217388, lr = [5e-05] +[2024-05-24 18:25:14,400] - INFO: Epoch 6274/9999, Iter 313660: Loss = 0.010946414433419704, lr = [5e-05] +[2024-05-24 18:25:42,493] - INFO: Epoch 6274/9999, Iter 313680: Loss = 0.010410873219370842, lr = [5e-05] +[2024-05-24 18:26:11,066] - INFO: Epoch 6275/9999, Iter 313700: Loss = 0.012387895956635475, lr = [5e-05] +[2024-05-24 18:26:37,461] - INFO: Epoch 6275/9999, Iter 313720: Loss = 0.01138225942850113, lr = [5e-05] +[2024-05-24 18:27:05,171] - INFO: Epoch 6275/9999, Iter 313740: Loss = 0.015534015372395515, lr = [5e-05] +[2024-05-24 18:27:17,624] - INFO: Evaluate at epoch 6275! +[2024-05-24 18:27:21,703] - INFO: Eval PSNR (max): 38.052 (6255) SSIM (max): 0.9611 (5335) +[2024-05-24 18:27:21,703] - INFO: Eval PSNR (current): 38.025 (6275) SSIM (current): 0.9609 (6275) +[2024-05-24 18:27:21,703] - INFO: Evaluation over. +[2024-05-24 18:27:40,683] - INFO: Epoch 6276/9999, Iter 313760: Loss = 0.014284145087003708, lr = [5e-05] +[2024-05-24 18:28:08,283] - INFO: Epoch 6276/9999, Iter 313780: Loss = 0.013784854672849178, lr = [5e-05] +[2024-05-24 18:28:37,235] - INFO: Epoch 6277/9999, Iter 313800: Loss = 0.010823768563568592, lr = [5e-05] +[2024-05-24 18:29:04,971] - INFO: Epoch 6277/9999, Iter 313820: Loss = 0.00791852455586195, lr = [5e-05] +[2024-05-24 18:29:32,614] - INFO: Epoch 6277/9999, Iter 313840: Loss = 0.014938900247216225, lr = [5e-05] +[2024-05-24 18:30:00,878] - INFO: Epoch 6278/9999, Iter 313860: Loss = 0.01705365814268589, lr = [5e-05] +[2024-05-24 18:30:27,457] - INFO: Epoch 6278/9999, Iter 313880: Loss = 0.01223787385970354, lr = [5e-05] +[2024-05-24 18:30:57,228] - INFO: Epoch 6279/9999, Iter 313900: Loss = 0.015969300642609596, lr = [5e-05] +[2024-05-24 18:31:24,751] - INFO: Epoch 6279/9999, Iter 313920: Loss = 0.015599245205521584, lr = [5e-05] +[2024-05-24 18:31:53,315] - INFO: Epoch 6279/9999, Iter 313940: Loss = 0.019443823024630547, lr = [5e-05] +[2024-05-24 18:32:22,278] - INFO: Epoch 6280/9999, Iter 313960: Loss = 0.012571040540933609, lr = [5e-05] +[2024-05-24 18:32:49,950] - INFO: Epoch 6280/9999, Iter 313980: Loss = 0.012459727004170418, lr = [5e-05] +[2024-05-24 18:33:15,299] - INFO: Evaluate at epoch 6280! +[2024-05-24 18:33:19,369] - INFO: Eval PSNR (max): 38.052 (6255) SSIM (max): 0.9611 (5335) +[2024-05-24 18:33:19,370] - INFO: Eval PSNR (current): 38.042 (6280) SSIM (current): 0.9610 (6280) +[2024-05-24 18:33:19,370] - INFO: Evaluation over. +[2024-05-24 18:33:24,283] - INFO: Epoch 6281/9999, Iter 314000: Loss = 0.011724531650543213, lr = [5e-05] +[2024-05-24 18:33:51,235] - INFO: Epoch 6281/9999, Iter 314020: Loss = 0.007196104619652033, lr = [5e-05] +[2024-05-24 18:34:18,466] - INFO: Epoch 6281/9999, Iter 314040: Loss = 0.010532252490520477, lr = [5e-05] +[2024-05-24 18:34:47,351] - INFO: Epoch 6282/9999, Iter 314060: Loss = 0.010917111299932003, lr = [5e-05] +[2024-05-24 18:35:15,102] - INFO: Epoch 6282/9999, Iter 314080: Loss = 0.01397807989269495, lr = [5e-05] +[2024-05-24 18:35:44,471] - INFO: Epoch 6283/9999, Iter 314100: Loss = 0.013417474925518036, lr = [5e-05] +[2024-05-24 18:36:11,703] - INFO: Epoch 6283/9999, Iter 314120: Loss = 0.015219883061945438, lr = [5e-05] +[2024-05-24 18:36:39,717] - INFO: Epoch 6283/9999, Iter 314140: Loss = 0.009835894219577312, lr = [5e-05] +[2024-05-24 18:37:08,250] - INFO: Epoch 6284/9999, Iter 314160: Loss = 0.00981429684907198, lr = [5e-05] +[2024-05-24 18:37:35,667] - INFO: Epoch 6284/9999, Iter 314180: Loss = 0.011177163571119308, lr = [5e-05] +[2024-05-24 18:38:05,031] - INFO: Epoch 6285/9999, Iter 314200: Loss = 0.014128539711236954, lr = [5e-05] +[2024-05-24 18:38:31,998] - INFO: Epoch 6285/9999, Iter 314220: Loss = 0.012301563285291195, lr = [5e-05] +[2024-05-24 18:38:59,880] - INFO: Epoch 6285/9999, Iter 314240: Loss = 0.009415805339813232, lr = [5e-05] +[2024-05-24 18:39:11,925] - INFO: Evaluate at epoch 6285! +[2024-05-24 18:39:15,998] - INFO: Eval PSNR (max): 38.052 (6255) SSIM (max): 0.9611 (5335) +[2024-05-24 18:39:15,999] - INFO: Eval PSNR (current): 37.980 (6285) SSIM (current): 0.9609 (6285) +[2024-05-24 18:39:15,999] - INFO: Evaluation over. +[2024-05-24 18:39:35,023] - INFO: Epoch 6286/9999, Iter 314260: Loss = 0.013244996778666973, lr = [5e-05] +[2024-05-24 18:40:02,888] - INFO: Epoch 6286/9999, Iter 314280: Loss = 0.012135111726820469, lr = [5e-05] +[2024-05-24 18:40:31,702] - INFO: Epoch 6287/9999, Iter 314300: Loss = 0.0104362266138196, lr = [5e-05] +[2024-05-24 18:40:58,554] - INFO: Epoch 6287/9999, Iter 314320: Loss = 0.012553462758660316, lr = [5e-05] +[2024-05-24 18:41:25,387] - INFO: Epoch 6287/9999, Iter 314340: Loss = 0.016044843941926956, lr = [5e-05] +[2024-05-24 18:41:54,904] - INFO: Epoch 6288/9999, Iter 314360: Loss = 0.014393647201359272, lr = [5e-05] +[2024-05-24 18:42:21,975] - INFO: Epoch 6288/9999, Iter 314380: Loss = 0.012038663029670715, lr = [5e-05] +[2024-05-24 18:42:50,171] - INFO: Epoch 6289/9999, Iter 314400: Loss = 0.012766776606440544, lr = [5e-05] +[2024-05-24 18:43:18,323] - INFO: Epoch 6289/9999, Iter 314420: Loss = 0.01375782210379839, lr = [5e-05] +[2024-05-24 18:43:45,879] - INFO: Epoch 6289/9999, Iter 314440: Loss = 0.017373818904161453, lr = [5e-05] +[2024-05-24 18:44:15,091] - INFO: Epoch 6290/9999, Iter 314460: Loss = 0.011569506488740444, lr = [5e-05] +[2024-05-24 18:44:43,283] - INFO: Epoch 6290/9999, Iter 314480: Loss = 0.02401808835566044, lr = [5e-05] +[2024-05-24 18:45:09,005] - INFO: Evaluate at epoch 6290! +[2024-05-24 18:45:13,085] - INFO: Eval PSNR (max): 38.052 (6255) SSIM (max): 0.9611 (5335) +[2024-05-24 18:45:13,085] - INFO: Eval PSNR (current): 38.029 (6290) SSIM (current): 0.9609 (6290) +[2024-05-24 18:45:13,085] - INFO: Evaluation over. +[2024-05-24 18:45:17,723] - INFO: Epoch 6291/9999, Iter 314500: Loss = 0.016277698799967766, lr = [5e-05] +[2024-05-24 18:45:45,390] - INFO: Epoch 6291/9999, Iter 314520: Loss = 0.0122153852134943, lr = [5e-05] +[2024-05-24 18:46:12,799] - INFO: Epoch 6291/9999, Iter 314540: Loss = 0.013283347710967064, lr = [5e-05] +[2024-05-24 18:46:41,804] - INFO: Epoch 6292/9999, Iter 314560: Loss = 0.010367964394390583, lr = [5e-05] +[2024-05-24 18:47:09,728] - INFO: Epoch 6292/9999, Iter 314580: Loss = 0.017083927989006042, lr = [5e-05] +[2024-05-24 18:47:38,996] - INFO: Epoch 6293/9999, Iter 314600: Loss = 0.01037515141069889, lr = [5e-05] +[2024-05-24 18:48:06,705] - INFO: Epoch 6293/9999, Iter 314620: Loss = 0.012729435227811337, lr = [5e-05] +[2024-05-24 18:48:34,938] - INFO: Epoch 6293/9999, Iter 314640: Loss = 0.014765489846467972, lr = [5e-05] +[2024-05-24 18:49:04,221] - INFO: Epoch 6294/9999, Iter 314660: Loss = 0.011645661666989326, lr = [5e-05] +[2024-05-24 18:49:32,035] - INFO: Epoch 6294/9999, Iter 314680: Loss = 0.012872856110334396, lr = [5e-05] +[2024-05-24 18:50:00,757] - INFO: Epoch 6295/9999, Iter 314700: Loss = 0.010341931134462357, lr = [5e-05] +[2024-05-24 18:50:28,485] - INFO: Epoch 6295/9999, Iter 314720: Loss = 0.010249270126223564, lr = [5e-05] +[2024-05-24 18:50:55,401] - INFO: Epoch 6295/9999, Iter 314740: Loss = 0.012121113017201424, lr = [5e-05] +[2024-05-24 18:51:07,582] - INFO: Evaluate at epoch 6295! +[2024-05-24 18:51:11,663] - INFO: Eval PSNR (max): 38.052 (6255) SSIM (max): 0.9611 (5335) +[2024-05-24 18:51:11,663] - INFO: Eval PSNR (current): 38.035 (6295) SSIM (current): 0.9609 (6295) +[2024-05-24 18:51:11,664] - INFO: Evaluation over. +[2024-05-24 18:51:30,099] - INFO: Epoch 6296/9999, Iter 314760: Loss = 0.013148486614227295, lr = [5e-05] +[2024-05-24 18:51:58,643] - INFO: Epoch 6296/9999, Iter 314780: Loss = 0.0108405826613307, lr = [5e-05] +[2024-05-24 18:52:27,495] - INFO: Epoch 6297/9999, Iter 314800: Loss = 0.013844309374690056, lr = [5e-05] +[2024-05-24 18:52:55,298] - INFO: Epoch 6297/9999, Iter 314820: Loss = 0.013994000852108002, lr = [5e-05] +[2024-05-24 18:53:23,504] - INFO: Epoch 6297/9999, Iter 314840: Loss = 0.010961108841001987, lr = [5e-05] +[2024-05-24 18:53:52,323] - INFO: Epoch 6298/9999, Iter 314860: Loss = 0.010028315708041191, lr = [5e-05] +[2024-05-24 18:54:19,086] - INFO: Epoch 6298/9999, Iter 314880: Loss = 0.011587869375944138, lr = [5e-05] +[2024-05-24 18:54:48,403] - INFO: Epoch 6299/9999, Iter 314900: Loss = 0.008658970706164837, lr = [5e-05] +[2024-05-24 18:55:15,081] - INFO: Epoch 6299/9999, Iter 314920: Loss = 0.013839635998010635, lr = [5e-05] +[2024-05-24 18:55:42,849] - INFO: Epoch 6299/9999, Iter 314940: Loss = 0.011099782772362232, lr = [5e-05] +[2024-05-24 18:56:11,871] - INFO: Epoch 6300/9999, Iter 314960: Loss = 0.020245680585503578, lr = [5e-05] +[2024-05-24 18:56:38,712] - INFO: Epoch 6300/9999, Iter 314980: Loss = 0.010487466119229794, lr = [5e-05] +[2024-05-24 18:57:04,375] - INFO: Evaluate at epoch 6300! +[2024-05-24 18:57:08,453] - INFO: Eval PSNR (max): 38.052 (6255) SSIM (max): 0.9611 (5335) +[2024-05-24 18:57:08,453] - INFO: Eval PSNR (current): 38.019 (6300) SSIM (current): 0.9609 (6300) +[2024-05-24 18:57:08,453] - INFO: Evaluation over. +[2024-05-24 18:57:12,796] - INFO: Epoch 6301/9999, Iter 315000: Loss = 0.012213326059281826, lr = [5e-05] +[2024-05-24 18:57:40,473] - INFO: Epoch 6301/9999, Iter 315020: Loss = 0.01261218637228012, lr = [5e-05] +[2024-05-24 18:58:08,906] - INFO: Epoch 6301/9999, Iter 315040: Loss = 0.015460650436580181, lr = [5e-05] +[2024-05-24 18:58:38,004] - INFO: Epoch 6302/9999, Iter 315060: Loss = 0.009435794316232204, lr = [5e-05] +[2024-05-24 18:59:05,197] - INFO: Epoch 6302/9999, Iter 315080: Loss = 0.01129111647605896, lr = [5e-05] +[2024-05-24 18:59:34,279] - INFO: Epoch 6303/9999, Iter 315100: Loss = 0.008538588881492615, lr = [5e-05] +[2024-05-24 19:00:01,844] - INFO: Epoch 6303/9999, Iter 315120: Loss = 0.00866007898002863, lr = [5e-05] +[2024-05-24 19:00:29,470] - INFO: Epoch 6303/9999, Iter 315140: Loss = 0.008902556262910366, lr = [5e-05] +[2024-05-24 19:00:58,010] - INFO: Epoch 6304/9999, Iter 315160: Loss = 0.013462219387292862, lr = [5e-05] +[2024-05-24 19:01:25,903] - INFO: Epoch 6304/9999, Iter 315180: Loss = 0.011981434188783169, lr = [5e-05] +[2024-05-24 19:01:54,830] - INFO: Epoch 6305/9999, Iter 315200: Loss = 0.017034215852618217, lr = [5e-05] +[2024-05-24 19:02:22,941] - INFO: Epoch 6305/9999, Iter 315220: Loss = 0.014994685538113117, lr = [5e-05] +[2024-05-24 19:02:51,578] - INFO: Epoch 6305/9999, Iter 315240: Loss = 0.013902572914958, lr = [5e-05] +[2024-05-24 19:03:03,394] - INFO: Evaluate at epoch 6305! +[2024-05-24 19:03:07,480] - INFO: Eval PSNR (max): 38.052 (6255) SSIM (max): 0.9611 (5335) +[2024-05-24 19:03:07,480] - INFO: Eval PSNR (current): 38.043 (6305) SSIM (current): 0.9610 (6305) +[2024-05-24 19:03:07,481] - INFO: Evaluation over. +[2024-05-24 19:03:25,597] - INFO: Epoch 6306/9999, Iter 315260: Loss = 0.015387113206088543, lr = [5e-05] +[2024-05-24 19:03:52,387] - INFO: Epoch 6306/9999, Iter 315280: Loss = 0.012812632136046886, lr = [5e-05] +[2024-05-24 19:04:21,855] - INFO: Epoch 6307/9999, Iter 315300: Loss = 0.01312340423464775, lr = [5e-05] +[2024-05-24 19:04:48,867] - INFO: Epoch 6307/9999, Iter 315320: Loss = 0.00949049647897482, lr = [5e-05] +[2024-05-24 19:05:16,250] - INFO: Epoch 6307/9999, Iter 315340: Loss = 0.008645126596093178, lr = [5e-05] +[2024-05-24 19:05:45,632] - INFO: Epoch 6308/9999, Iter 315360: Loss = 0.013682425022125244, lr = [5e-05] +[2024-05-24 19:06:12,828] - INFO: Epoch 6308/9999, Iter 315380: Loss = 0.017078781500458717, lr = [5e-05] +[2024-05-24 19:06:42,179] - INFO: Epoch 6309/9999, Iter 315400: Loss = 0.01298466045409441, lr = [5e-05] +[2024-05-24 19:07:10,386] - INFO: Epoch 6309/9999, Iter 315420: Loss = 0.013557364232838154, lr = [5e-05] +[2024-05-24 19:07:38,209] - INFO: Epoch 6309/9999, Iter 315440: Loss = 0.010190345346927643, lr = [5e-05] +[2024-05-24 19:08:06,767] - INFO: Epoch 6310/9999, Iter 315460: Loss = 0.016644079238176346, lr = [5e-05] +[2024-05-24 19:08:34,437] - INFO: Epoch 6310/9999, Iter 315480: Loss = 0.015738874673843384, lr = [5e-05] +[2024-05-24 19:09:00,880] - INFO: Evaluate at epoch 6310! +[2024-05-24 19:09:04,964] - INFO: Eval PSNR (max): 38.052 (6255) SSIM (max): 0.9611 (5335) +[2024-05-24 19:09:04,965] - INFO: Eval PSNR (current): 38.020 (6310) SSIM (current): 0.9609 (6310) +[2024-05-24 19:09:04,965] - INFO: Evaluation over. +[2024-05-24 19:09:09,462] - INFO: Epoch 6311/9999, Iter 315500: Loss = 0.009482686407864094, lr = [5e-05] +[2024-05-24 19:09:37,842] - INFO: Epoch 6311/9999, Iter 315520: Loss = 0.01349948812276125, lr = [5e-05] +[2024-05-24 19:10:05,901] - INFO: Epoch 6311/9999, Iter 315540: Loss = 0.01337398774921894, lr = [5e-05] +[2024-05-24 19:10:33,850] - INFO: Epoch 6312/9999, Iter 315560: Loss = 0.011191279627382755, lr = [5e-05] +[2024-05-24 19:11:01,023] - INFO: Epoch 6312/9999, Iter 315580: Loss = 0.012952839955687523, lr = [5e-05] +[2024-05-24 19:11:29,311] - INFO: Epoch 6313/9999, Iter 315600: Loss = 0.014200422912836075, lr = [5e-05] +[2024-05-24 19:11:56,657] - INFO: Epoch 6313/9999, Iter 315620: Loss = 0.012036551721394062, lr = [5e-05] +[2024-05-24 19:12:24,789] - INFO: Epoch 6313/9999, Iter 315640: Loss = 0.014635077677667141, lr = [5e-05] +[2024-05-24 19:12:53,631] - INFO: Epoch 6314/9999, Iter 315660: Loss = 0.01111950259655714, lr = [5e-05] +[2024-05-24 19:13:21,007] - INFO: Epoch 6314/9999, Iter 315680: Loss = 0.014512867666780949, lr = [5e-05] +[2024-05-24 19:13:50,451] - INFO: Epoch 6315/9999, Iter 315700: Loss = 0.009485221467912197, lr = [5e-05] +[2024-05-24 19:14:17,842] - INFO: Epoch 6315/9999, Iter 315720: Loss = 0.011045048013329506, lr = [5e-05] +[2024-05-24 19:14:45,972] - INFO: Epoch 6315/9999, Iter 315740: Loss = 0.009425596334040165, lr = [5e-05] +[2024-05-24 19:14:57,932] - INFO: Evaluate at epoch 6315! +[2024-05-24 19:15:02,015] - INFO: Eval PSNR (max): 38.052 (6255) SSIM (max): 0.9611 (5335) +[2024-05-24 19:15:02,016] - INFO: Eval PSNR (current): 38.036 (6315) SSIM (current): 0.9609 (6315) +[2024-05-24 19:15:02,016] - INFO: Evaluation over. +[2024-05-24 19:15:20,215] - INFO: Epoch 6316/9999, Iter 315760: Loss = 0.010561437346041203, lr = [5e-05] +[2024-05-24 19:15:47,111] - INFO: Epoch 6316/9999, Iter 315780: Loss = 0.009741072542965412, lr = [5e-05] +[2024-05-24 19:16:15,900] - INFO: Epoch 6317/9999, Iter 315800: Loss = 0.009452599100768566, lr = [5e-05] +[2024-05-24 19:16:44,199] - INFO: Epoch 6317/9999, Iter 315820: Loss = 0.011124596931040287, lr = [5e-05] +[2024-05-24 19:17:12,649] - INFO: Epoch 6317/9999, Iter 315840: Loss = 0.009486854076385498, lr = [5e-05] +[2024-05-24 19:17:41,637] - INFO: Epoch 6318/9999, Iter 315860: Loss = 0.018176594749093056, lr = [5e-05] +[2024-05-24 19:18:10,252] - INFO: Epoch 6318/9999, Iter 315880: Loss = 0.011315803043544292, lr = [5e-05] +[2024-05-24 19:18:39,163] - INFO: Epoch 6319/9999, Iter 315900: Loss = 0.011202407069504261, lr = [5e-05] +[2024-05-24 19:19:07,334] - INFO: Epoch 6319/9999, Iter 315920: Loss = 0.016530631110072136, lr = [5e-05] +[2024-05-24 19:19:34,886] - INFO: Epoch 6319/9999, Iter 315940: Loss = 0.011224939487874508, lr = [5e-05] +[2024-05-24 19:20:03,955] - INFO: Epoch 6320/9999, Iter 315960: Loss = 0.013093017041683197, lr = [5e-05] +[2024-05-24 19:20:31,840] - INFO: Epoch 6320/9999, Iter 315980: Loss = 0.019497806206345558, lr = [5e-05] +[2024-05-24 19:20:57,938] - INFO: Evaluate at epoch 6320! +[2024-05-24 19:21:02,012] - INFO: Eval PSNR (max): 38.052 (6255) SSIM (max): 0.9611 (5335) +[2024-05-24 19:21:02,013] - INFO: Eval PSNR (current): 38.048 (6320) SSIM (current): 0.9609 (6320) +[2024-05-24 19:21:02,013] - INFO: Evaluation over. +[2024-05-24 19:21:06,313] - INFO: Epoch 6321/9999, Iter 316000: Loss = 0.021475765854120255, lr = [5e-05] +[2024-05-24 19:21:33,267] - INFO: Epoch 6321/9999, Iter 316020: Loss = 0.011863105930387974, lr = [5e-05] +[2024-05-24 19:22:01,253] - INFO: Epoch 6321/9999, Iter 316040: Loss = 0.010584992356598377, lr = [5e-05] +[2024-05-24 19:22:31,179] - INFO: Epoch 6322/9999, Iter 316060: Loss = 0.009865657426416874, lr = [5e-05] +[2024-05-24 19:22:57,410] - INFO: Epoch 6322/9999, Iter 316080: Loss = 0.006515365093946457, lr = [5e-05] +[2024-05-24 19:23:26,103] - INFO: Epoch 6323/9999, Iter 316100: Loss = 0.016023064032197, lr = [5e-05] +[2024-05-24 19:23:54,262] - INFO: Epoch 6323/9999, Iter 316120: Loss = 0.011426453478634357, lr = [5e-05] +[2024-05-24 19:24:21,642] - INFO: Epoch 6323/9999, Iter 316140: Loss = 0.014025602489709854, lr = [5e-05] +[2024-05-24 19:24:50,783] - INFO: Epoch 6324/9999, Iter 316160: Loss = 0.015871686860919, lr = [5e-05] +[2024-05-24 19:25:19,205] - INFO: Epoch 6324/9999, Iter 316180: Loss = 0.016801346093416214, lr = [5e-05] +[2024-05-24 19:25:48,188] - INFO: Epoch 6325/9999, Iter 316200: Loss = 0.014886478893458843, lr = [5e-05] +[2024-05-24 19:26:14,988] - INFO: Epoch 6325/9999, Iter 316220: Loss = 0.020311139523983, lr = [5e-05] +[2024-05-24 19:26:42,475] - INFO: Epoch 6325/9999, Iter 316240: Loss = 0.013479149900376797, lr = [5e-05] +[2024-05-24 19:26:54,884] - INFO: Evaluate at epoch 6325! +[2024-05-24 19:26:58,946] - INFO: Eval PSNR (max): 38.052 (6255) SSIM (max): 0.9611 (5335) +[2024-05-24 19:26:58,946] - INFO: Eval PSNR (current): 38.005 (6325) SSIM (current): 0.9608 (6325) +[2024-05-24 19:26:58,946] - INFO: Evaluation over. +[2024-05-24 19:27:17,143] - INFO: Epoch 6326/9999, Iter 316260: Loss = 0.009528803639113903, lr = [5e-05] +[2024-05-24 19:27:45,275] - INFO: Epoch 6326/9999, Iter 316280: Loss = 0.015469087287783623, lr = [5e-05] +[2024-05-24 19:28:14,323] - INFO: Epoch 6327/9999, Iter 316300: Loss = 0.012870300561189651, lr = [5e-05] +[2024-05-24 19:28:42,551] - INFO: Epoch 6327/9999, Iter 316320: Loss = 0.012798979878425598, lr = [5e-05] +[2024-05-24 19:29:10,204] - INFO: Epoch 6327/9999, Iter 316340: Loss = 0.01778949424624443, lr = [5e-05] +[2024-05-24 19:29:38,607] - INFO: Epoch 6328/9999, Iter 316360: Loss = 0.02011868916451931, lr = [5e-05] +[2024-05-24 19:30:06,347] - INFO: Epoch 6328/9999, Iter 316380: Loss = 0.013409305363893509, lr = [5e-05] +[2024-05-24 19:30:35,209] - INFO: Epoch 6329/9999, Iter 316400: Loss = 0.013518156483769417, lr = [5e-05] +[2024-05-24 19:31:03,383] - INFO: Epoch 6329/9999, Iter 316420: Loss = 0.012449496425688267, lr = [5e-05] +[2024-05-24 19:31:30,627] - INFO: Epoch 6329/9999, Iter 316440: Loss = 0.008751163259148598, lr = [5e-05] +[2024-05-24 19:31:59,104] - INFO: Epoch 6330/9999, Iter 316460: Loss = 0.015572108328342438, lr = [5e-05] +[2024-05-24 19:32:25,624] - INFO: Epoch 6330/9999, Iter 316480: Loss = 0.016394363716244698, lr = [5e-05] +[2024-05-24 19:32:52,581] - INFO: Evaluate at epoch 6330! +[2024-05-24 19:32:56,654] - INFO: Eval PSNR (max): 38.052 (6255) SSIM (max): 0.9611 (5335) +[2024-05-24 19:32:56,654] - INFO: Eval PSNR (current): 38.041 (6330) SSIM (current): 0.9610 (6330) +[2024-05-24 19:32:56,654] - INFO: Evaluation over. +[2024-05-24 19:33:01,509] - INFO: Epoch 6331/9999, Iter 316500: Loss = 0.009422576986253262, lr = [5e-05] +[2024-05-24 19:33:28,439] - INFO: Epoch 6331/9999, Iter 316520: Loss = 0.018605448305606842, lr = [5e-05] +[2024-05-24 19:33:55,255] - INFO: Epoch 6331/9999, Iter 316540: Loss = 0.014425680972635746, lr = [5e-05] +[2024-05-24 19:34:24,659] - INFO: Epoch 6332/9999, Iter 316560: Loss = 0.01378196943551302, lr = [5e-05] +[2024-05-24 19:34:52,591] - INFO: Epoch 6332/9999, Iter 316580: Loss = 0.01784641481935978, lr = [5e-05] +[2024-05-24 19:35:21,096] - INFO: Epoch 6333/9999, Iter 316600: Loss = 0.011431560851633549, lr = [5e-05] +[2024-05-24 19:35:48,615] - INFO: Epoch 6333/9999, Iter 316620: Loss = 0.01390284113585949, lr = [5e-05] +[2024-05-24 19:36:16,003] - INFO: Epoch 6333/9999, Iter 316640: Loss = 0.009147869423031807, lr = [5e-05] +[2024-05-24 19:36:45,091] - INFO: Epoch 6334/9999, Iter 316660: Loss = 0.010727832093834877, lr = [5e-05] +[2024-05-24 19:37:12,747] - INFO: Epoch 6334/9999, Iter 316680: Loss = 0.01128425169736147, lr = [5e-05] +[2024-05-24 19:37:40,663] - INFO: Epoch 6335/9999, Iter 316700: Loss = 0.011648688465356827, lr = [5e-05] +[2024-05-24 19:38:08,617] - INFO: Epoch 6335/9999, Iter 316720: Loss = 0.010700707323849201, lr = [5e-05] +[2024-05-24 19:38:36,605] - INFO: Epoch 6335/9999, Iter 316740: Loss = 0.014092271216213703, lr = [5e-05] +[2024-05-24 19:38:48,897] - INFO: Evaluate at epoch 6335! +[2024-05-24 19:38:52,953] - INFO: Eval PSNR (max): 38.052 (6255) SSIM (max): 0.9611 (5335) +[2024-05-24 19:38:52,954] - INFO: Eval PSNR (current): 38.020 (6335) SSIM (current): 0.9608 (6335) +[2024-05-24 19:38:52,954] - INFO: Evaluation over. +[2024-05-24 19:39:11,884] - INFO: Epoch 6336/9999, Iter 316760: Loss = 0.012403924018144608, lr = [5e-05] +[2024-05-24 19:39:39,207] - INFO: Epoch 6336/9999, Iter 316780: Loss = 0.010939013212919235, lr = [5e-05] +[2024-05-24 19:40:08,767] - INFO: Epoch 6337/9999, Iter 316800: Loss = 0.014004886150360107, lr = [5e-05] +[2024-05-24 19:40:35,622] - INFO: Epoch 6337/9999, Iter 316820: Loss = 0.012856685556471348, lr = [5e-05] +[2024-05-24 19:41:02,472] - INFO: Epoch 6337/9999, Iter 316840: Loss = 0.011405086144804955, lr = [5e-05] +[2024-05-24 19:41:32,460] - INFO: Epoch 6338/9999, Iter 316860: Loss = 0.007651342544704676, lr = [5e-05] +[2024-05-24 19:42:00,291] - INFO: Epoch 6338/9999, Iter 316880: Loss = 0.012713419273495674, lr = [5e-05] +[2024-05-24 19:42:29,255] - INFO: Epoch 6339/9999, Iter 316900: Loss = 0.011842811480164528, lr = [5e-05] +[2024-05-24 19:42:57,394] - INFO: Epoch 6339/9999, Iter 316920: Loss = 0.010998500511050224, lr = [5e-05] +[2024-05-24 19:43:25,455] - INFO: Epoch 6339/9999, Iter 316940: Loss = 0.01327506173402071, lr = [5e-05] +[2024-05-24 19:43:54,771] - INFO: Epoch 6340/9999, Iter 316960: Loss = 0.011476969346404076, lr = [5e-05] +[2024-05-24 19:44:22,555] - INFO: Epoch 6340/9999, Iter 316980: Loss = 0.009147371165454388, lr = [5e-05] +[2024-05-24 19:44:49,130] - INFO: Evaluate at epoch 6340! +[2024-05-24 19:44:53,197] - INFO: Eval PSNR (max): 38.052 (6255) SSIM (max): 0.9611 (5335) +[2024-05-24 19:44:53,197] - INFO: Eval PSNR (current): 38.047 (6340) SSIM (current): 0.9610 (6340) +[2024-05-24 19:44:53,197] - INFO: Evaluation over. +[2024-05-24 19:44:57,419] - INFO: Epoch 6341/9999, Iter 317000: Loss = 0.008786181919276714, lr = [5e-05] +[2024-05-24 19:45:24,943] - INFO: Epoch 6341/9999, Iter 317020: Loss = 0.014222897589206696, lr = [5e-05] +[2024-05-24 19:45:53,041] - INFO: Epoch 6341/9999, Iter 317040: Loss = 0.013605490326881409, lr = [5e-05] +[2024-05-24 19:46:21,927] - INFO: Epoch 6342/9999, Iter 317060: Loss = 0.008267836645245552, lr = [5e-05] +[2024-05-24 19:46:50,393] - INFO: Epoch 6342/9999, Iter 317080: Loss = 0.011501018889248371, lr = [5e-05] +[2024-05-24 19:47:19,252] - INFO: Epoch 6343/9999, Iter 317100: Loss = 0.009458065032958984, lr = [5e-05] +[2024-05-24 19:47:46,997] - INFO: Epoch 6343/9999, Iter 317120: Loss = 0.01269475743174553, lr = [5e-05] +[2024-05-24 19:48:14,703] - INFO: Epoch 6343/9999, Iter 317140: Loss = 0.012123304419219494, lr = [5e-05] +[2024-05-24 19:48:44,544] - INFO: Epoch 6344/9999, Iter 317160: Loss = 0.011783301830291748, lr = [5e-05] +[2024-05-24 19:49:12,677] - INFO: Epoch 6344/9999, Iter 317180: Loss = 0.020763374865055084, lr = [5e-05] +[2024-05-24 19:49:41,519] - INFO: Epoch 6345/9999, Iter 317200: Loss = 0.006705517414957285, lr = [5e-05] +[2024-05-24 19:50:08,970] - INFO: Epoch 6345/9999, Iter 317220: Loss = 0.014167731627821922, lr = [5e-05] +[2024-05-24 19:50:36,605] - INFO: Epoch 6345/9999, Iter 317240: Loss = 0.01766885630786419, lr = [5e-05] +[2024-05-24 19:50:48,883] - INFO: Evaluate at epoch 6345! +[2024-05-24 19:50:52,948] - INFO: Eval PSNR (max): 38.052 (6255) SSIM (max): 0.9611 (5335) +[2024-05-24 19:50:52,948] - INFO: Eval PSNR (current): 38.028 (6345) SSIM (current): 0.9609 (6345) +[2024-05-24 19:50:52,948] - INFO: Evaluation over. +[2024-05-24 19:51:10,634] - INFO: Epoch 6346/9999, Iter 317260: Loss = 0.012624332681298256, lr = [5e-05] +[2024-05-24 19:51:38,006] - INFO: Epoch 6346/9999, Iter 317280: Loss = 0.015231693163514137, lr = [5e-05] +[2024-05-24 19:52:06,939] - INFO: Epoch 6347/9999, Iter 317300: Loss = 0.012504738755524158, lr = [5e-05] +[2024-05-24 19:52:34,675] - INFO: Epoch 6347/9999, Iter 317320: Loss = 0.0078088054433465, lr = [5e-05] +[2024-05-24 19:53:01,630] - INFO: Epoch 6347/9999, Iter 317340: Loss = 0.013925598002970219, lr = [5e-05] +[2024-05-24 19:53:31,647] - INFO: Epoch 6348/9999, Iter 317360: Loss = 0.010678351856768131, lr = [5e-05] +[2024-05-24 19:53:59,440] - INFO: Epoch 6348/9999, Iter 317380: Loss = 0.01305394247174263, lr = [5e-05] +[2024-05-24 19:54:28,083] - INFO: Epoch 6349/9999, Iter 317400: Loss = 0.009049500338733196, lr = [5e-05] +[2024-05-24 19:54:55,037] - INFO: Epoch 6349/9999, Iter 317420: Loss = 0.017466865479946136, lr = [5e-05] +[2024-05-24 19:55:22,972] - INFO: Epoch 6349/9999, Iter 317440: Loss = 0.012274239212274551, lr = [5e-05] +[2024-05-24 19:55:51,450] - INFO: Epoch 6350/9999, Iter 317460: Loss = 0.015499191358685493, lr = [5e-05] +[2024-05-24 19:56:19,819] - INFO: Epoch 6350/9999, Iter 317480: Loss = 0.013080799952149391, lr = [5e-05] +[2024-05-24 19:56:45,909] - INFO: Evaluate at epoch 6350! +[2024-05-24 19:56:49,978] - INFO: Eval PSNR (max): 38.052 (6255) SSIM (max): 0.9611 (5335) +[2024-05-24 19:56:49,978] - INFO: Eval PSNR (current): 38.017 (6350) SSIM (current): 0.9609 (6350) +[2024-05-24 19:56:49,978] - INFO: Evaluation over. +[2024-05-24 19:56:54,369] - INFO: Epoch 6351/9999, Iter 317500: Loss = 0.015644211322069168, lr = [5e-05] +[2024-05-24 19:57:21,280] - INFO: Epoch 6351/9999, Iter 317520: Loss = 0.01395418681204319, lr = [5e-05] +[2024-05-24 19:57:49,671] - INFO: Epoch 6351/9999, Iter 317540: Loss = 0.009128685109317303, lr = [5e-05] +[2024-05-24 19:58:18,591] - INFO: Epoch 6352/9999, Iter 317560: Loss = 0.009350448846817017, lr = [5e-05] +[2024-05-24 19:58:46,700] - INFO: Epoch 6352/9999, Iter 317580: Loss = 0.0135041493922472, lr = [5e-05] +[2024-05-24 19:59:15,843] - INFO: Epoch 6353/9999, Iter 317600: Loss = 0.01864841766655445, lr = [5e-05] +[2024-05-24 19:59:44,256] - INFO: Epoch 6353/9999, Iter 317620: Loss = 0.013187405653297901, lr = [5e-05] +[2024-05-24 20:00:12,088] - INFO: Epoch 6353/9999, Iter 317640: Loss = 0.009968486614525318, lr = [5e-05] +[2024-05-24 20:00:41,321] - INFO: Epoch 6354/9999, Iter 317660: Loss = 0.016073409467935562, lr = [5e-05] +[2024-05-24 20:01:07,705] - INFO: Epoch 6354/9999, Iter 317680: Loss = 0.019337164238095284, lr = [5e-05] +[2024-05-24 20:01:36,674] - INFO: Epoch 6355/9999, Iter 317700: Loss = 0.01538875512778759, lr = [5e-05] +[2024-05-24 20:02:03,695] - INFO: Epoch 6355/9999, Iter 317720: Loss = 0.01566142588853836, lr = [5e-05] +[2024-05-24 20:02:30,802] - INFO: Epoch 6355/9999, Iter 317740: Loss = 0.012700138613581657, lr = [5e-05] +[2024-05-24 20:02:43,596] - INFO: Evaluate at epoch 6355! +[2024-05-24 20:02:47,658] - INFO: Eval PSNR (max): 38.052 (6255) SSIM (max): 0.9611 (5335) +[2024-05-24 20:02:47,658] - INFO: Eval PSNR (current): 38.036 (6355) SSIM (current): 0.9610 (6355) +[2024-05-24 20:02:47,658] - INFO: Evaluation over. +[2024-05-24 20:03:06,615] - INFO: Epoch 6356/9999, Iter 317760: Loss = 0.016319120302796364, lr = [5e-05] +[2024-05-24 20:03:34,599] - INFO: Epoch 6356/9999, Iter 317780: Loss = 0.011845601722598076, lr = [5e-05] +[2024-05-24 20:04:03,975] - INFO: Epoch 6357/9999, Iter 317800: Loss = 0.013994286768138409, lr = [5e-05] +[2024-05-24 20:04:31,950] - INFO: Epoch 6357/9999, Iter 317820: Loss = 0.012354678474366665, lr = [5e-05] +[2024-05-24 20:05:00,585] - INFO: Epoch 6357/9999, Iter 317840: Loss = 0.01259492989629507, lr = [5e-05] +[2024-05-24 20:05:28,917] - INFO: Epoch 6358/9999, Iter 317860: Loss = 0.01043074019253254, lr = [5e-05] +[2024-05-24 20:05:56,499] - INFO: Epoch 6358/9999, Iter 317880: Loss = 0.010638201609253883, lr = [5e-05] +[2024-05-24 20:06:25,668] - INFO: Epoch 6359/9999, Iter 317900: Loss = 0.010031843557953835, lr = [5e-05] +[2024-05-24 20:06:53,663] - INFO: Epoch 6359/9999, Iter 317920: Loss = 0.007713566068559885, lr = [5e-05] +[2024-05-24 20:07:21,557] - INFO: Epoch 6359/9999, Iter 317940: Loss = 0.007938469760119915, lr = [5e-05] +[2024-05-24 20:07:50,587] - INFO: Epoch 6360/9999, Iter 317960: Loss = 0.013292125426232815, lr = [5e-05] +[2024-05-24 20:08:17,615] - INFO: Epoch 6360/9999, Iter 317980: Loss = 0.01524004153907299, lr = [5e-05] +[2024-05-24 20:08:43,370] - INFO: Evaluate at epoch 6360! +[2024-05-24 20:08:47,434] - INFO: Eval PSNR (max): 38.052 (6255) SSIM (max): 0.9611 (5335) +[2024-05-24 20:08:47,434] - INFO: Eval PSNR (current): 38.006 (6360) SSIM (current): 0.9609 (6360) +[2024-05-24 20:08:47,434] - INFO: Evaluation over. +[2024-05-24 20:08:52,297] - INFO: Epoch 6361/9999, Iter 318000: Loss = 0.01590043120086193, lr = [5e-05] +[2024-05-24 20:09:20,851] - INFO: Epoch 6361/9999, Iter 318020: Loss = 0.008696761913597584, lr = [5e-05] +[2024-05-24 20:09:48,268] - INFO: Epoch 6361/9999, Iter 318040: Loss = 0.009859220124781132, lr = [5e-05] +[2024-05-24 20:10:17,483] - INFO: Epoch 6362/9999, Iter 318060: Loss = 0.013712878338992596, lr = [5e-05] +[2024-05-24 20:10:44,961] - INFO: Epoch 6362/9999, Iter 318080: Loss = 0.015703799203038216, lr = [5e-05] +[2024-05-24 20:11:14,023] - INFO: Epoch 6363/9999, Iter 318100: Loss = 0.013151716440916061, lr = [5e-05] +[2024-05-24 20:11:42,896] - INFO: Epoch 6363/9999, Iter 318120: Loss = 0.009495176374912262, lr = [5e-05] +[2024-05-24 20:12:10,622] - INFO: Epoch 6363/9999, Iter 318140: Loss = 0.014006918296217918, lr = [5e-05] +[2024-05-24 20:12:39,286] - INFO: Epoch 6364/9999, Iter 318160: Loss = 0.013499253429472446, lr = [5e-05] +[2024-05-24 20:13:07,571] - INFO: Epoch 6364/9999, Iter 318180: Loss = 0.019430730491876602, lr = [5e-05] +[2024-05-24 20:13:35,888] - INFO: Epoch 6365/9999, Iter 318200: Loss = 0.013326765038073063, lr = [5e-05] +[2024-05-24 20:14:04,251] - INFO: Epoch 6365/9999, Iter 318220: Loss = 0.007679580245167017, lr = [5e-05] +[2024-05-24 20:14:31,707] - INFO: Epoch 6365/9999, Iter 318240: Loss = 0.011297393590211868, lr = [5e-05] +[2024-05-24 20:14:43,732] - INFO: Evaluate at epoch 6365! +[2024-05-24 20:14:47,800] - INFO: Eval PSNR (max): 38.052 (6255) SSIM (max): 0.9611 (5335) +[2024-05-24 20:14:47,800] - INFO: Eval PSNR (current): 38.045 (6365) SSIM (current): 0.9610 (6365) +[2024-05-24 20:14:47,800] - INFO: Evaluation over. +[2024-05-24 20:15:05,198] - INFO: Epoch 6366/9999, Iter 318260: Loss = 0.010222268290817738, lr = [5e-05] +[2024-05-24 20:15:32,877] - INFO: Epoch 6366/9999, Iter 318280: Loss = 0.008225065656006336, lr = [5e-05] +[2024-05-24 20:16:02,118] - INFO: Epoch 6367/9999, Iter 318300: Loss = 0.011540682055056095, lr = [5e-05] +[2024-05-24 20:16:30,192] - INFO: Epoch 6367/9999, Iter 318320: Loss = 0.013011113740503788, lr = [5e-05] +[2024-05-24 20:16:58,348] - INFO: Epoch 6367/9999, Iter 318340: Loss = 0.01344407070428133, lr = [5e-05] +[2024-05-24 20:17:27,147] - INFO: Epoch 6368/9999, Iter 318360: Loss = 0.01005457527935505, lr = [5e-05] +[2024-05-24 20:17:54,707] - INFO: Epoch 6368/9999, Iter 318380: Loss = 0.012009089812636375, lr = [5e-05] +[2024-05-24 20:18:23,513] - INFO: Epoch 6369/9999, Iter 318400: Loss = 0.014312476851046085, lr = [5e-05] +[2024-05-24 20:18:51,061] - INFO: Epoch 6369/9999, Iter 318420: Loss = 0.00867023877799511, lr = [5e-05] +[2024-05-24 20:19:19,061] - INFO: Epoch 6369/9999, Iter 318440: Loss = 0.013926401734352112, lr = [5e-05] +[2024-05-24 20:19:48,123] - INFO: Epoch 6370/9999, Iter 318460: Loss = 0.016666868701577187, lr = [5e-05] +[2024-05-24 20:20:15,532] - INFO: Epoch 6370/9999, Iter 318480: Loss = 0.01179416012018919, lr = [5e-05] +[2024-05-24 20:20:41,167] - INFO: Evaluate at epoch 6370! +[2024-05-24 20:20:45,231] - INFO: Eval PSNR (max): 38.052 (6255) SSIM (max): 0.9611 (5335) +[2024-05-24 20:20:45,231] - INFO: Eval PSNR (current): 38.005 (6370) SSIM (current): 0.9608 (6370) +[2024-05-24 20:20:45,232] - INFO: Evaluation over. +[2024-05-24 20:20:50,078] - INFO: Epoch 6371/9999, Iter 318500: Loss = 0.010697061195969582, lr = [5e-05] +[2024-05-24 20:21:17,711] - INFO: Epoch 6371/9999, Iter 318520: Loss = 0.014830092899501324, lr = [5e-05] +[2024-05-24 20:21:46,431] - INFO: Epoch 6371/9999, Iter 318540: Loss = 0.01048909593373537, lr = [5e-05] +[2024-05-24 20:22:15,159] - INFO: Epoch 6372/9999, Iter 318560: Loss = 0.011134574189782143, lr = [5e-05] +[2024-05-24 20:22:41,647] - INFO: Epoch 6372/9999, Iter 318580: Loss = 0.020235354080796242, lr = [5e-05] +[2024-05-24 20:23:10,864] - INFO: Epoch 6373/9999, Iter 318600: Loss = 0.014496435411274433, lr = [5e-05] +[2024-05-24 20:23:38,603] - INFO: Epoch 6373/9999, Iter 318620: Loss = 0.010328561998903751, lr = [5e-05] +[2024-05-24 20:24:06,235] - INFO: Epoch 6373/9999, Iter 318640: Loss = 0.013895407319068909, lr = [5e-05] +[2024-05-24 20:24:35,634] - INFO: Epoch 6374/9999, Iter 318660: Loss = 0.010994785465300083, lr = [5e-05] +[2024-05-24 20:25:03,239] - INFO: Epoch 6374/9999, Iter 318680: Loss = 0.012609491124749184, lr = [5e-05] +[2024-05-24 20:25:32,974] - INFO: Epoch 6375/9999, Iter 318700: Loss = 0.015848524868488312, lr = [5e-05] +[2024-05-24 20:26:01,569] - INFO: Epoch 6375/9999, Iter 318720: Loss = 0.009725077077746391, lr = [5e-05] +[2024-05-24 20:26:28,691] - INFO: Epoch 6375/9999, Iter 318740: Loss = 0.012734146788716316, lr = [5e-05] +[2024-05-24 20:26:40,425] - INFO: Evaluate at epoch 6375! +[2024-05-24 20:26:44,480] - INFO: Eval PSNR (max): 38.052 (6255) SSIM (max): 0.9611 (5335) +[2024-05-24 20:26:44,480] - INFO: Eval PSNR (current): 38.039 (6375) SSIM (current): 0.9609 (6375) +[2024-05-24 20:26:44,480] - INFO: Evaluation over. +[2024-05-24 20:27:01,755] - INFO: Epoch 6376/9999, Iter 318760: Loss = 0.014188339002430439, lr = [5e-05] +[2024-05-24 20:27:30,304] - INFO: Epoch 6376/9999, Iter 318780: Loss = 0.01619134470820427, lr = [5e-05] +[2024-05-24 20:27:59,850] - INFO: Epoch 6377/9999, Iter 318800: Loss = 0.013058075681328773, lr = [5e-05] +[2024-05-24 20:28:27,611] - INFO: Epoch 6377/9999, Iter 318820: Loss = 0.01656358689069748, lr = [5e-05] +[2024-05-24 20:28:56,231] - INFO: Epoch 6377/9999, Iter 318840: Loss = 0.01862381212413311, lr = [5e-05] +[2024-05-24 20:29:24,998] - INFO: Epoch 6378/9999, Iter 318860: Loss = 0.010133666917681694, lr = [5e-05] +[2024-05-24 20:29:51,546] - INFO: Epoch 6378/9999, Iter 318880: Loss = 0.013688920065760612, lr = [5e-05] +[2024-05-24 20:30:20,338] - INFO: Epoch 6379/9999, Iter 318900: Loss = 0.011065013706684113, lr = [5e-05] +[2024-05-24 20:30:48,170] - INFO: Epoch 6379/9999, Iter 318920: Loss = 0.011639407835900784, lr = [5e-05] +[2024-05-24 20:31:16,551] - INFO: Epoch 6379/9999, Iter 318940: Loss = 0.014613235369324684, lr = [5e-05] +[2024-05-24 20:31:45,419] - INFO: Epoch 6380/9999, Iter 318960: Loss = 0.01740933768451214, lr = [5e-05] +[2024-05-24 20:32:13,360] - INFO: Epoch 6380/9999, Iter 318980: Loss = 0.01420983113348484, lr = [5e-05] +[2024-05-24 20:32:39,584] - INFO: Evaluate at epoch 6380! +[2024-05-24 20:32:43,645] - INFO: Eval PSNR (max): 38.052 (6255) SSIM (max): 0.9611 (5335) +[2024-05-24 20:32:43,645] - INFO: Eval PSNR (current): 38.034 (6380) SSIM (current): 0.9610 (6380) +[2024-05-24 20:32:43,645] - INFO: Evaluation over. +[2024-05-24 20:32:48,145] - INFO: Epoch 6381/9999, Iter 319000: Loss = 0.01670287549495697, lr = [5e-05] +[2024-05-24 20:33:15,571] - INFO: Epoch 6381/9999, Iter 319020: Loss = 0.01918451488018036, lr = [5e-05] +[2024-05-24 20:33:42,579] - INFO: Epoch 6381/9999, Iter 319040: Loss = 0.017016597092151642, lr = [5e-05] +[2024-05-24 20:34:11,028] - INFO: Epoch 6382/9999, Iter 319060: Loss = 0.008775671012699604, lr = [5e-05] +[2024-05-24 20:34:38,584] - INFO: Epoch 6382/9999, Iter 319080: Loss = 0.015943685546517372, lr = [5e-05] +[2024-05-24 20:35:08,118] - INFO: Epoch 6383/9999, Iter 319100: Loss = 0.007863803766667843, lr = [5e-05] +[2024-05-24 20:35:36,035] - INFO: Epoch 6383/9999, Iter 319120: Loss = 0.009271456860005856, lr = [5e-05] +[2024-05-24 20:36:03,686] - INFO: Epoch 6383/9999, Iter 319140: Loss = 0.0083873700350523, lr = [5e-05] +[2024-05-24 20:36:33,245] - INFO: Epoch 6384/9999, Iter 319160: Loss = 0.02076011523604393, lr = [5e-05] +[2024-05-24 20:37:00,907] - INFO: Epoch 6384/9999, Iter 319180: Loss = 0.012579257600009441, lr = [5e-05] +[2024-05-24 20:37:28,870] - INFO: Epoch 6385/9999, Iter 319200: Loss = 0.01295616663992405, lr = [5e-05] +[2024-05-24 20:37:55,927] - INFO: Epoch 6385/9999, Iter 319220: Loss = 0.015070296823978424, lr = [5e-05] +[2024-05-24 20:38:23,530] - INFO: Epoch 6385/9999, Iter 319240: Loss = 0.009744004346430302, lr = [5e-05] +[2024-05-24 20:38:36,178] - INFO: Evaluate at epoch 6385! +[2024-05-24 20:38:40,242] - INFO: Eval PSNR (max): 38.052 (6255) SSIM (max): 0.9611 (5335) +[2024-05-24 20:38:40,242] - INFO: Eval PSNR (current): 38.016 (6385) SSIM (current): 0.9609 (6385) +[2024-05-24 20:38:40,242] - INFO: Evaluation over. +[2024-05-24 20:38:58,051] - INFO: Epoch 6386/9999, Iter 319260: Loss = 0.012298583984375, lr = [5e-05] +[2024-05-24 20:39:25,501] - INFO: Epoch 6386/9999, Iter 319280: Loss = 0.015285242348909378, lr = [5e-05] +[2024-05-24 20:39:54,731] - INFO: Epoch 6387/9999, Iter 319300: Loss = 0.017886022105813026, lr = [5e-05] +[2024-05-24 20:40:22,800] - INFO: Epoch 6387/9999, Iter 319320: Loss = 0.012721119448542595, lr = [5e-05] +[2024-05-24 20:40:49,682] - INFO: Epoch 6387/9999, Iter 319340: Loss = 0.015667540952563286, lr = [5e-05] +[2024-05-24 20:41:18,102] - INFO: Epoch 6388/9999, Iter 319360: Loss = 0.01949191279709339, lr = [5e-05] +[2024-05-24 20:41:45,363] - INFO: Epoch 6388/9999, Iter 319380: Loss = 0.007885430008172989, lr = [5e-05] +[2024-05-24 20:42:14,083] - INFO: Epoch 6389/9999, Iter 319400: Loss = 0.013411156833171844, lr = [5e-05] +[2024-05-24 20:42:41,237] - INFO: Epoch 6389/9999, Iter 319420: Loss = 0.01706225611269474, lr = [5e-05] +[2024-05-24 20:43:08,111] - INFO: Epoch 6389/9999, Iter 319440: Loss = 0.013999966904520988, lr = [5e-05] +[2024-05-24 20:43:37,295] - INFO: Epoch 6390/9999, Iter 319460: Loss = 0.01431720145046711, lr = [5e-05] +[2024-05-24 20:44:04,551] - INFO: Epoch 6390/9999, Iter 319480: Loss = 0.009019190445542336, lr = [5e-05] +[2024-05-24 20:44:29,873] - INFO: Evaluate at epoch 6390! +[2024-05-24 20:44:33,936] - INFO: Eval PSNR (max): 38.052 (6255) SSIM (max): 0.9611 (5335) +[2024-05-24 20:44:33,937] - INFO: Eval PSNR (current): 38.026 (6390) SSIM (current): 0.9609 (6390) +[2024-05-24 20:44:33,937] - INFO: Evaluation over. +[2024-05-24 20:44:38,591] - INFO: Epoch 6391/9999, Iter 319500: Loss = 0.01345885545015335, lr = [5e-05] +[2024-05-24 20:45:06,532] - INFO: Epoch 6391/9999, Iter 319520: Loss = 0.01422123983502388, lr = [5e-05] +[2024-05-24 20:45:33,991] - INFO: Epoch 6391/9999, Iter 319540: Loss = 0.013645470142364502, lr = [5e-05] +[2024-05-24 20:46:02,747] - INFO: Epoch 6392/9999, Iter 319560: Loss = 0.012110639363527298, lr = [5e-05] +[2024-05-24 20:46:31,288] - INFO: Epoch 6392/9999, Iter 319580: Loss = 0.012502789497375488, lr = [5e-05] +[2024-05-24 20:47:00,249] - INFO: Epoch 6393/9999, Iter 319600: Loss = 0.017720241099596024, lr = [5e-05] +[2024-05-24 20:47:28,479] - INFO: Epoch 6393/9999, Iter 319620: Loss = 0.009961946867406368, lr = [5e-05] +[2024-05-24 20:47:56,611] - INFO: Epoch 6393/9999, Iter 319640: Loss = 0.008937523700296879, lr = [5e-05] +[2024-05-24 20:48:25,551] - INFO: Epoch 6394/9999, Iter 319660: Loss = 0.012482577003538609, lr = [5e-05] +[2024-05-24 20:48:53,148] - INFO: Epoch 6394/9999, Iter 319680: Loss = 0.01169455423951149, lr = [5e-05] +[2024-05-24 20:49:22,016] - INFO: Epoch 6395/9999, Iter 319700: Loss = 0.014890648424625397, lr = [5e-05] +[2024-05-24 20:49:50,099] - INFO: Epoch 6395/9999, Iter 319720: Loss = 0.011560400016605854, lr = [5e-05] +[2024-05-24 20:50:17,251] - INFO: Epoch 6395/9999, Iter 319740: Loss = 0.010193774476647377, lr = [5e-05] +[2024-05-24 20:50:29,488] - INFO: Evaluate at epoch 6395! +[2024-05-24 20:50:33,550] - INFO: Eval PSNR (max): 38.052 (6255) SSIM (max): 0.9611 (5335) +[2024-05-24 20:50:33,550] - INFO: Eval PSNR (current): 37.997 (6395) SSIM (current): 0.9608 (6395) +[2024-05-24 20:50:33,550] - INFO: Evaluation over. +[2024-05-24 20:50:52,030] - INFO: Epoch 6396/9999, Iter 319760: Loss = 0.013621458783745766, lr = [5e-05] +[2024-05-24 20:51:20,035] - INFO: Epoch 6396/9999, Iter 319780: Loss = 0.013158927671611309, lr = [5e-05] +[2024-05-24 20:51:49,621] - INFO: Epoch 6397/9999, Iter 319800: Loss = 0.011339611373841763, lr = [5e-05] +[2024-05-24 20:52:17,708] - INFO: Epoch 6397/9999, Iter 319820: Loss = 0.01397970225661993, lr = [5e-05] +[2024-05-24 20:52:45,069] - INFO: Epoch 6397/9999, Iter 319840: Loss = 0.013704434968531132, lr = [5e-05] +[2024-05-24 20:53:14,583] - INFO: Epoch 6398/9999, Iter 319860: Loss = 0.01085029449313879, lr = [5e-05] +[2024-05-24 20:53:42,359] - INFO: Epoch 6398/9999, Iter 319880: Loss = 0.010032652877271175, lr = [5e-05] +[2024-05-24 20:54:10,820] - INFO: Epoch 6399/9999, Iter 319900: Loss = 0.013290042988955975, lr = [5e-05] +[2024-05-24 20:54:38,200] - INFO: Epoch 6399/9999, Iter 319920: Loss = 0.008332140743732452, lr = [5e-05] +[2024-05-24 20:55:05,715] - INFO: Epoch 6399/9999, Iter 319940: Loss = 0.01260103564709425, lr = [5e-05] +[2024-05-24 20:55:33,948] - INFO: Epoch 6400/9999, Iter 319960: Loss = 0.010793136432766914, lr = [5e-05] +[2024-05-24 20:56:00,655] - INFO: Epoch 6400/9999, Iter 319980: Loss = 0.011162023060023785, lr = [5e-05] +[2024-05-24 20:56:26,872] - INFO: Evaluate at epoch 6400! +[2024-05-24 20:56:30,938] - INFO: Eval PSNR (max): 38.052 (6255) SSIM (max): 0.9611 (5335) +[2024-05-24 20:56:30,938] - INFO: Eval PSNR (current): 38.044 (6400) SSIM (current): 0.9609 (6400) +[2024-05-24 20:56:30,938] - INFO: Evaluation over. +[2024-05-24 20:56:35,410] - INFO: Epoch 6401/9999, Iter 320000: Loss = 0.008106593042612076, lr = [5e-05] +[2024-05-24 20:57:03,331] - INFO: Epoch 6401/9999, Iter 320020: Loss = 0.01798488199710846, lr = [5e-05] +[2024-05-24 20:57:31,081] - INFO: Epoch 6401/9999, Iter 320040: Loss = 0.01296049915254116, lr = [5e-05] +[2024-05-24 20:58:00,217] - INFO: Epoch 6402/9999, Iter 320060: Loss = 0.021645361557602882, lr = [5e-05] +[2024-05-24 20:58:26,825] - INFO: Epoch 6402/9999, Iter 320080: Loss = 0.011235903948545456, lr = [5e-05] +[2024-05-24 20:58:55,598] - INFO: Epoch 6403/9999, Iter 320100: Loss = 0.010844709351658821, lr = [5e-05] +[2024-05-24 20:59:23,630] - INFO: Epoch 6403/9999, Iter 320120: Loss = 0.012270313687622547, lr = [5e-05] +[2024-05-24 20:59:51,795] - INFO: Epoch 6403/9999, Iter 320140: Loss = 0.011272165924310684, lr = [5e-05] +[2024-05-24 21:00:20,213] - INFO: Epoch 6404/9999, Iter 320160: Loss = 0.013343311846256256, lr = [5e-05] +[2024-05-24 21:00:48,103] - INFO: Epoch 6404/9999, Iter 320180: Loss = 0.01096752006560564, lr = [5e-05] +[2024-05-24 21:01:17,405] - INFO: Epoch 6405/9999, Iter 320200: Loss = 0.013975647278130054, lr = [5e-05] +[2024-05-24 21:01:45,577] - INFO: Epoch 6405/9999, Iter 320220: Loss = 0.019940191879868507, lr = [5e-05] +[2024-05-24 21:02:13,756] - INFO: Epoch 6405/9999, Iter 320240: Loss = 0.013425846584141254, lr = [5e-05] +[2024-05-24 21:02:25,556] - INFO: Evaluate at epoch 6405! +[2024-05-24 21:02:29,617] - INFO: Eval PSNR (max): 38.052 (6255) SSIM (max): 0.9611 (5335) +[2024-05-24 21:02:29,617] - INFO: Eval PSNR (current): 37.963 (6405) SSIM (current): 0.9608 (6405) +[2024-05-24 21:02:29,617] - INFO: Evaluation over. +[2024-05-24 21:02:47,965] - INFO: Epoch 6406/9999, Iter 320260: Loss = 0.013190887868404388, lr = [5e-05] +[2024-05-24 21:03:15,461] - INFO: Epoch 6406/9999, Iter 320280: Loss = 0.012587887234985828, lr = [5e-05] +[2024-05-24 21:03:45,328] - INFO: Epoch 6407/9999, Iter 320300: Loss = 0.011508415453135967, lr = [5e-05] +[2024-05-24 21:04:13,155] - INFO: Epoch 6407/9999, Iter 320320: Loss = 0.014457364566624165, lr = [5e-05] +[2024-05-24 21:04:41,415] - INFO: Epoch 6407/9999, Iter 320340: Loss = 0.014968657866120338, lr = [5e-05] +[2024-05-24 21:05:09,906] - INFO: Epoch 6408/9999, Iter 320360: Loss = 0.012556599453091621, lr = [5e-05] +[2024-05-24 21:05:36,674] - INFO: Epoch 6408/9999, Iter 320380: Loss = 0.01689283363521099, lr = [5e-05] +[2024-05-24 21:06:05,472] - INFO: Epoch 6409/9999, Iter 320400: Loss = 0.010000216774642467, lr = [5e-05] +[2024-05-24 21:06:32,857] - INFO: Epoch 6409/9999, Iter 320420: Loss = 0.017285943031311035, lr = [5e-05] +[2024-05-24 21:07:00,381] - INFO: Epoch 6409/9999, Iter 320440: Loss = 0.013758773915469646, lr = [5e-05] +[2024-05-24 21:07:29,635] - INFO: Epoch 6410/9999, Iter 320460: Loss = 0.015866462141275406, lr = [5e-05] +[2024-05-24 21:07:57,461] - INFO: Epoch 6410/9999, Iter 320480: Loss = 0.012205568142235279, lr = [5e-05] +[2024-05-24 21:08:23,577] - INFO: Evaluate at epoch 6410! +[2024-05-24 21:08:27,688] - INFO: Eval PSNR (max): 38.052 (6255) SSIM (max): 0.9611 (5335) +[2024-05-24 21:08:27,689] - INFO: Eval PSNR (current): 38.021 (6410) SSIM (current): 0.9609 (6410) +[2024-05-24 21:08:27,689] - INFO: Evaluation over. +[2024-05-24 21:08:32,339] - INFO: Epoch 6411/9999, Iter 320500: Loss = 0.01682903990149498, lr = [5e-05] +[2024-05-24 21:08:59,755] - INFO: Epoch 6411/9999, Iter 320520: Loss = 0.012827597558498383, lr = [5e-05] +[2024-05-24 21:09:27,960] - INFO: Epoch 6411/9999, Iter 320540: Loss = 0.009206022135913372, lr = [5e-05] +[2024-05-24 21:09:57,295] - INFO: Epoch 6412/9999, Iter 320560: Loss = 0.012364426627755165, lr = [5e-05] +[2024-05-24 21:10:25,975] - INFO: Epoch 6412/9999, Iter 320580: Loss = 0.01086895540356636, lr = [5e-05] +[2024-05-24 21:10:54,448] - INFO: Epoch 6413/9999, Iter 320600: Loss = 0.014924684539437294, lr = [5e-05] +[2024-05-24 21:11:22,499] - INFO: Epoch 6413/9999, Iter 320620: Loss = 0.010158790275454521, lr = [5e-05] +[2024-05-24 21:11:50,246] - INFO: Epoch 6413/9999, Iter 320640: Loss = 0.009219846688210964, lr = [5e-05] +[2024-05-24 21:12:19,139] - INFO: Epoch 6414/9999, Iter 320660: Loss = 0.013847574591636658, lr = [5e-05] +[2024-05-24 21:12:47,411] - INFO: Epoch 6414/9999, Iter 320680: Loss = 0.014884191565215588, lr = [5e-05] +[2024-05-24 21:13:16,559] - INFO: Epoch 6415/9999, Iter 320700: Loss = 0.016889622434973717, lr = [5e-05] +[2024-05-24 21:13:44,675] - INFO: Epoch 6415/9999, Iter 320720: Loss = 0.017867928370833397, lr = [5e-05] +[2024-05-24 21:14:12,827] - INFO: Epoch 6415/9999, Iter 320740: Loss = 0.012015702202916145, lr = [5e-05] +[2024-05-24 21:14:24,871] - INFO: Evaluate at epoch 6415! +[2024-05-24 21:14:28,928] - INFO: Eval PSNR (max): 38.052 (6255) SSIM (max): 0.9611 (5335) +[2024-05-24 21:14:28,929] - INFO: Eval PSNR (current): 38.010 (6415) SSIM (current): 0.9608 (6415) +[2024-05-24 21:14:28,929] - INFO: Evaluation over. +[2024-05-24 21:14:47,331] - INFO: Epoch 6416/9999, Iter 320760: Loss = 0.00969631876796484, lr = [5e-05] +[2024-05-24 21:15:15,315] - INFO: Epoch 6416/9999, Iter 320780: Loss = 0.01114964485168457, lr = [5e-05] +[2024-05-24 21:15:44,751] - INFO: Epoch 6417/9999, Iter 320800: Loss = 0.012853053398430347, lr = [5e-05] +[2024-05-24 21:16:12,461] - INFO: Epoch 6417/9999, Iter 320820: Loss = 0.014861760661005974, lr = [5e-05] +[2024-05-24 21:16:40,235] - INFO: Epoch 6417/9999, Iter 320840: Loss = 0.00877865869551897, lr = [5e-05] +[2024-05-24 21:17:09,265] - INFO: Epoch 6418/9999, Iter 320860: Loss = 0.010928659699857235, lr = [5e-05] +[2024-05-24 21:17:36,693] - INFO: Epoch 6418/9999, Iter 320880: Loss = 0.015119192190468311, lr = [5e-05] +[2024-05-24 21:18:06,108] - INFO: Epoch 6419/9999, Iter 320900: Loss = 0.01649143360555172, lr = [5e-05] +[2024-05-24 21:18:32,895] - INFO: Epoch 6419/9999, Iter 320920: Loss = 0.013523547910153866, lr = [5e-05] +[2024-05-24 21:19:01,500] - INFO: Epoch 6419/9999, Iter 320940: Loss = 0.013938476331532001, lr = [5e-05] +[2024-05-24 21:19:30,891] - INFO: Epoch 6420/9999, Iter 320960: Loss = 0.011171568185091019, lr = [5e-05] +[2024-05-24 21:19:59,255] - INFO: Epoch 6420/9999, Iter 320980: Loss = 0.00947685819119215, lr = [5e-05] +[2024-05-24 21:20:24,745] - INFO: Evaluate at epoch 6420! +[2024-05-24 21:20:28,812] - INFO: Eval PSNR (max): 38.052 (6255) SSIM (max): 0.9611 (5335) +[2024-05-24 21:20:28,812] - INFO: Eval PSNR (current): 38.033 (6420) SSIM (current): 0.9609 (6420) +[2024-05-24 21:20:28,812] - INFO: Evaluation over. +[2024-05-24 21:20:33,461] - INFO: Epoch 6421/9999, Iter 321000: Loss = 0.01281412597745657, lr = [5e-05] +[2024-05-24 21:21:01,432] - INFO: Epoch 6421/9999, Iter 321020: Loss = 0.015067530795931816, lr = [5e-05] +[2024-05-24 21:21:29,891] - INFO: Epoch 6421/9999, Iter 321040: Loss = 0.00914646778255701, lr = [5e-05] +[2024-05-24 21:21:59,159] - INFO: Epoch 6422/9999, Iter 321060: Loss = 0.0101693170145154, lr = [5e-05] +[2024-05-24 21:22:26,938] - INFO: Epoch 6422/9999, Iter 321080: Loss = 0.009376510046422482, lr = [5e-05] +[2024-05-24 21:22:55,955] - INFO: Epoch 6423/9999, Iter 321100: Loss = 0.015436211600899696, lr = [5e-05] +[2024-05-24 21:23:24,059] - INFO: Epoch 6423/9999, Iter 321120: Loss = 0.014426616951823235, lr = [5e-05] +[2024-05-24 21:23:52,607] - INFO: Epoch 6423/9999, Iter 321140: Loss = 0.015066384337842464, lr = [5e-05] +[2024-05-24 21:24:20,518] - INFO: Epoch 6424/9999, Iter 321160: Loss = 0.017199020832777023, lr = [5e-05] +[2024-05-24 21:24:47,611] - INFO: Epoch 6424/9999, Iter 321180: Loss = 0.016161609441041946, lr = [5e-05] +[2024-05-24 21:25:16,567] - INFO: Epoch 6425/9999, Iter 321200: Loss = 0.010987041518092155, lr = [5e-05] +[2024-05-24 21:25:44,504] - INFO: Epoch 6425/9999, Iter 321220: Loss = 0.015886709094047546, lr = [5e-05] +[2024-05-24 21:26:12,744] - INFO: Epoch 6425/9999, Iter 321240: Loss = 0.012661134824156761, lr = [5e-05] +[2024-05-24 21:26:25,089] - INFO: Evaluate at epoch 6425! +[2024-05-24 21:26:29,148] - INFO: Eval PSNR (max): 38.052 (6255) SSIM (max): 0.9611 (5335) +[2024-05-24 21:26:29,148] - INFO: Eval PSNR (current): 37.997 (6425) SSIM (current): 0.9609 (6425) +[2024-05-24 21:26:29,148] - INFO: Evaluation over. +[2024-05-24 21:26:47,131] - INFO: Epoch 6426/9999, Iter 321260: Loss = 0.014115789905190468, lr = [5e-05] +[2024-05-24 21:27:14,814] - INFO: Epoch 6426/9999, Iter 321280: Loss = 0.012087005190551281, lr = [5e-05] +[2024-05-24 21:27:43,811] - INFO: Epoch 6427/9999, Iter 321300: Loss = 0.01703147403895855, lr = [5e-05] +[2024-05-24 21:28:10,903] - INFO: Epoch 6427/9999, Iter 321320: Loss = 0.007170609198510647, lr = [5e-05] +[2024-05-24 21:28:37,788] - INFO: Epoch 6427/9999, Iter 321340: Loss = 0.012743054889142513, lr = [5e-05] +[2024-05-24 21:29:06,716] - INFO: Epoch 6428/9999, Iter 321360: Loss = 0.010333500802516937, lr = [5e-05] +[2024-05-24 21:29:34,575] - INFO: Epoch 6428/9999, Iter 321380: Loss = 0.014345141127705574, lr = [5e-05] +[2024-05-24 21:30:03,396] - INFO: Epoch 6429/9999, Iter 321400: Loss = 0.012447104789316654, lr = [5e-05] +[2024-05-24 21:30:31,979] - INFO: Epoch 6429/9999, Iter 321420: Loss = 0.013744735158979893, lr = [5e-05] +[2024-05-24 21:31:00,096] - INFO: Epoch 6429/9999, Iter 321440: Loss = 0.022414442151784897, lr = [5e-05] +[2024-05-24 21:31:27,923] - INFO: Epoch 6430/9999, Iter 321460: Loss = 0.009571494534611702, lr = [5e-05] +[2024-05-24 21:31:55,471] - INFO: Epoch 6430/9999, Iter 321480: Loss = 0.01446725893765688, lr = [5e-05] +[2024-05-24 21:32:22,257] - INFO: Evaluate at epoch 6430! +[2024-05-24 21:32:26,325] - INFO: Eval PSNR (max): 38.052 (6255) SSIM (max): 0.9611 (5335) +[2024-05-24 21:32:26,325] - INFO: Eval PSNR (current): 38.037 (6430) SSIM (current): 0.9610 (6430) +[2024-05-24 21:32:26,325] - INFO: Evaluation over. +[2024-05-24 21:32:30,766] - INFO: Epoch 6431/9999, Iter 321500: Loss = 0.007586437743157148, lr = [5e-05] +[2024-05-24 21:32:57,763] - INFO: Epoch 6431/9999, Iter 321520: Loss = 0.012794291600584984, lr = [5e-05] +[2024-05-24 21:33:24,646] - INFO: Epoch 6431/9999, Iter 321540: Loss = 0.013323700986802578, lr = [5e-05] +[2024-05-24 21:33:53,245] - INFO: Epoch 6432/9999, Iter 321560: Loss = 0.01712789759039879, lr = [5e-05] +[2024-05-24 21:34:21,535] - INFO: Epoch 6432/9999, Iter 321580: Loss = 0.012680918909609318, lr = [5e-05] +[2024-05-24 21:34:50,239] - INFO: Epoch 6433/9999, Iter 321600: Loss = 0.019591104239225388, lr = [5e-05] +[2024-05-24 21:35:17,290] - INFO: Epoch 6433/9999, Iter 321620: Loss = 0.0102619593963027, lr = [5e-05] +[2024-05-24 21:35:46,026] - INFO: Epoch 6433/9999, Iter 321640: Loss = 0.007775481790304184, lr = [5e-05] +[2024-05-24 21:36:14,679] - INFO: Epoch 6434/9999, Iter 321660: Loss = 0.016739143058657646, lr = [5e-05] +[2024-05-24 21:36:43,012] - INFO: Epoch 6434/9999, Iter 321680: Loss = 0.012821662239730358, lr = [5e-05] +[2024-05-24 21:37:12,295] - INFO: Epoch 6435/9999, Iter 321700: Loss = 0.011391802690923214, lr = [5e-05] +[2024-05-24 21:37:40,008] - INFO: Epoch 6435/9999, Iter 321720: Loss = 0.01145397312939167, lr = [5e-05] +[2024-05-24 21:38:07,891] - INFO: Epoch 6435/9999, Iter 321740: Loss = 0.017529938369989395, lr = [5e-05] +[2024-05-24 21:38:20,036] - INFO: Evaluate at epoch 6435! +[2024-05-24 21:38:24,071] - INFO: Eval PSNR (max): 38.052 (6255) SSIM (max): 0.9611 (5335) +[2024-05-24 21:38:24,072] - INFO: Eval PSNR (current): 38.006 (6435) SSIM (current): 0.9610 (6435) +[2024-05-24 21:38:24,072] - INFO: Evaluation over. +[2024-05-24 21:38:41,749] - INFO: Epoch 6436/9999, Iter 321760: Loss = 0.010325968265533447, lr = [5e-05] +[2024-05-24 21:39:09,136] - INFO: Epoch 6436/9999, Iter 321780: Loss = 0.014229183085262775, lr = [5e-05] +[2024-05-24 21:39:38,195] - INFO: Epoch 6437/9999, Iter 321800: Loss = 0.010899312794208527, lr = [5e-05] +[2024-05-24 21:40:06,565] - INFO: Epoch 6437/9999, Iter 321820: Loss = 0.011799071915447712, lr = [5e-05] +[2024-05-24 21:40:34,311] - INFO: Epoch 6437/9999, Iter 321840: Loss = 0.0192602276802063, lr = [5e-05] +[2024-05-24 21:41:02,545] - INFO: Epoch 6438/9999, Iter 321860: Loss = 0.014466636814177036, lr = [5e-05] +[2024-05-24 21:41:30,167] - INFO: Epoch 6438/9999, Iter 321880: Loss = 0.010320102795958519, lr = [5e-05] +[2024-05-24 21:41:58,843] - INFO: Epoch 6439/9999, Iter 321900: Loss = 0.013463583774864674, lr = [5e-05] +[2024-05-24 21:42:26,764] - INFO: Epoch 6439/9999, Iter 321920: Loss = 0.015169073827564716, lr = [5e-05] +[2024-05-24 21:42:53,328] - INFO: Epoch 6439/9999, Iter 321940: Loss = 0.014132978394627571, lr = [5e-05] +[2024-05-24 21:43:22,959] - INFO: Epoch 6440/9999, Iter 321960: Loss = 0.013411296531558037, lr = [5e-05] +[2024-05-24 21:43:50,783] - INFO: Epoch 6440/9999, Iter 321980: Loss = 0.008237426169216633, lr = [5e-05] +[2024-05-24 21:44:16,915] - INFO: Evaluate at epoch 6440! +[2024-05-24 21:44:20,957] - INFO: Eval PSNR (max): 38.052 (6255) SSIM (max): 0.9611 (5335) +[2024-05-24 21:44:20,958] - INFO: Eval PSNR (current): 38.031 (6440) SSIM (current): 0.9609 (6440) +[2024-05-24 21:44:20,958] - INFO: Evaluation over. +[2024-05-24 21:44:25,319] - INFO: Epoch 6441/9999, Iter 322000: Loss = 0.015693293884396553, lr = [5e-05] +[2024-05-24 21:44:53,599] - INFO: Epoch 6441/9999, Iter 322020: Loss = 0.01816829852759838, lr = [5e-05] +[2024-05-24 21:45:21,359] - INFO: Epoch 6441/9999, Iter 322040: Loss = 0.015369663015007973, lr = [5e-05] +[2024-05-24 21:45:49,679] - INFO: Epoch 6442/9999, Iter 322060: Loss = 0.013616561889648438, lr = [5e-05] +[2024-05-24 21:46:17,726] - INFO: Epoch 6442/9999, Iter 322080: Loss = 0.008341927081346512, lr = [5e-05] +[2024-05-24 21:46:47,415] - INFO: Epoch 6443/9999, Iter 322100: Loss = 0.014939067885279655, lr = [5e-05] +[2024-05-24 21:47:14,535] - INFO: Epoch 6443/9999, Iter 322120: Loss = 0.011538474820554256, lr = [5e-05] +[2024-05-24 21:47:42,149] - INFO: Epoch 6443/9999, Iter 322140: Loss = 0.012425437569618225, lr = [5e-05] +[2024-05-24 21:48:11,283] - INFO: Epoch 6444/9999, Iter 322160: Loss = 0.018442794680595398, lr = [5e-05] +[2024-05-24 21:48:38,455] - INFO: Epoch 6444/9999, Iter 322180: Loss = 0.02001265250146389, lr = [5e-05] +[2024-05-24 21:49:07,471] - INFO: Epoch 6445/9999, Iter 322200: Loss = 0.01390106976032257, lr = [5e-05] +[2024-05-24 21:49:34,455] - INFO: Epoch 6445/9999, Iter 322220: Loss = 0.011742627248167992, lr = [5e-05] +[2024-05-24 21:50:02,635] - INFO: Epoch 6445/9999, Iter 322240: Loss = 0.012195413000881672, lr = [5e-05] +[2024-05-24 21:50:14,929] - INFO: Evaluate at epoch 6445! +[2024-05-24 21:50:18,971] - INFO: Eval PSNR (max): 38.052 (6255) SSIM (max): 0.9611 (5335) +[2024-05-24 21:50:18,971] - INFO: Eval PSNR (current): 38.014 (6445) SSIM (current): 0.9609 (6445) +[2024-05-24 21:50:18,971] - INFO: Evaluation over. +[2024-05-24 21:50:37,133] - INFO: Epoch 6446/9999, Iter 322260: Loss = 0.014077557250857353, lr = [5e-05] +[2024-05-24 21:51:05,042] - INFO: Epoch 6446/9999, Iter 322280: Loss = 0.0138505594804883, lr = [5e-05] +[2024-05-24 21:51:33,984] - INFO: Epoch 6447/9999, Iter 322300: Loss = 0.010326107032597065, lr = [5e-05] +[2024-05-24 21:52:02,535] - INFO: Epoch 6447/9999, Iter 322320: Loss = 0.012591223232448101, lr = [5e-05] +[2024-05-24 21:52:30,204] - INFO: Epoch 6447/9999, Iter 322340: Loss = 0.013832288794219494, lr = [5e-05] +[2024-05-24 21:52:58,731] - INFO: Epoch 6448/9999, Iter 322360: Loss = 0.010158304125070572, lr = [5e-05] +[2024-05-24 21:53:26,291] - INFO: Epoch 6448/9999, Iter 322380: Loss = 0.01299278624355793, lr = [5e-05] +[2024-05-24 21:53:54,680] - INFO: Epoch 6449/9999, Iter 322400: Loss = 0.007517548743635416, lr = [5e-05] +[2024-05-24 21:54:22,514] - INFO: Epoch 6449/9999, Iter 322420: Loss = 0.015036403201520443, lr = [5e-05] +[2024-05-24 21:54:49,931] - INFO: Epoch 6449/9999, Iter 322440: Loss = 0.0099953543394804, lr = [5e-05] +[2024-05-24 21:55:19,159] - INFO: Epoch 6450/9999, Iter 322460: Loss = 0.01537114568054676, lr = [5e-05] +[2024-05-24 21:55:46,002] - INFO: Epoch 6450/9999, Iter 322480: Loss = 0.010101063176989555, lr = [5e-05] +[2024-05-24 21:56:12,751] - INFO: Evaluate at epoch 6450! +[2024-05-24 21:56:16,794] - INFO: Eval PSNR (max): 38.052 (6255) SSIM (max): 0.9611 (5335) +[2024-05-24 21:56:16,794] - INFO: Eval PSNR (current): 38.027 (6450) SSIM (current): 0.9609 (6450) +[2024-05-24 21:56:16,794] - INFO: Evaluation over. +[2024-05-24 21:56:21,822] - INFO: Epoch 6451/9999, Iter 322500: Loss = 0.017393428832292557, lr = [5e-05] +[2024-05-24 21:56:48,418] - INFO: Epoch 6451/9999, Iter 322520: Loss = 0.014440871775150299, lr = [5e-05] +[2024-05-24 21:57:15,804] - INFO: Epoch 6451/9999, Iter 322540: Loss = 0.014698217622935772, lr = [5e-05] +[2024-05-24 21:57:45,186] - INFO: Epoch 6452/9999, Iter 322560: Loss = 0.01389771793037653, lr = [5e-05] +[2024-05-24 21:58:13,780] - INFO: Epoch 6452/9999, Iter 322580: Loss = 0.01318684034049511, lr = [5e-05] +[2024-05-24 21:58:42,694] - INFO: Epoch 6453/9999, Iter 322600: Loss = 0.010333561338484287, lr = [5e-05] +[2024-05-24 21:59:10,905] - INFO: Epoch 6453/9999, Iter 322620: Loss = 0.01361452229321003, lr = [5e-05] +[2024-05-24 21:59:38,251] - INFO: Epoch 6453/9999, Iter 322640: Loss = 0.020845403894782066, lr = [5e-05] +[2024-05-24 22:00:07,327] - INFO: Epoch 6454/9999, Iter 322660: Loss = 0.012738117948174477, lr = [5e-05] +[2024-05-24 22:00:35,321] - INFO: Epoch 6454/9999, Iter 322680: Loss = 0.010337131097912788, lr = [5e-05] +[2024-05-24 22:01:03,976] - INFO: Epoch 6455/9999, Iter 322700: Loss = 0.013299423269927502, lr = [5e-05] +[2024-05-24 22:01:31,939] - INFO: Epoch 6455/9999, Iter 322720: Loss = 0.007738427259027958, lr = [5e-05] +[2024-05-24 22:01:59,302] - INFO: Epoch 6455/9999, Iter 322740: Loss = 0.01090901531279087, lr = [5e-05] +[2024-05-24 22:02:12,217] - INFO: Evaluate at epoch 6455! +[2024-05-24 22:02:16,259] - INFO: Eval PSNR (max): 38.052 (6255) SSIM (max): 0.9611 (5335) +[2024-05-24 22:02:16,260] - INFO: Eval PSNR (current): 38.009 (6455) SSIM (current): 0.9609 (6455) +[2024-05-24 22:02:16,260] - INFO: Evaluation over. +[2024-05-24 22:02:34,663] - INFO: Epoch 6456/9999, Iter 322760: Loss = 0.011778672225773335, lr = [5e-05] +[2024-05-24 22:03:02,673] - INFO: Epoch 6456/9999, Iter 322780: Loss = 0.013909108936786652, lr = [5e-05] +[2024-05-24 22:03:31,919] - INFO: Epoch 6457/9999, Iter 322800: Loss = 0.011921870522201061, lr = [5e-05] +[2024-05-24 22:03:59,760] - INFO: Epoch 6457/9999, Iter 322820: Loss = 0.012430685572326183, lr = [5e-05] +[2024-05-24 22:04:28,062] - INFO: Epoch 6457/9999, Iter 322840: Loss = 0.007863761857151985, lr = [5e-05] +[2024-05-24 22:04:56,294] - INFO: Epoch 6458/9999, Iter 322860: Loss = 0.018096210435032845, lr = [5e-05] +[2024-05-24 22:05:22,587] - INFO: Epoch 6458/9999, Iter 322880: Loss = 0.00812078919261694, lr = [5e-05] +[2024-05-24 22:05:51,722] - INFO: Epoch 6459/9999, Iter 322900: Loss = 0.011989501304924488, lr = [5e-05] +[2024-05-24 22:06:18,711] - INFO: Epoch 6459/9999, Iter 322920: Loss = 0.012610902078449726, lr = [5e-05] +[2024-05-24 22:06:45,776] - INFO: Epoch 6459/9999, Iter 322940: Loss = 0.015793045982718468, lr = [5e-05] +[2024-05-24 22:07:15,227] - INFO: Epoch 6460/9999, Iter 322960: Loss = 0.01519970316439867, lr = [5e-05] +[2024-05-24 22:07:43,872] - INFO: Epoch 6460/9999, Iter 322980: Loss = 0.010726340115070343, lr = [5e-05] +[2024-05-24 22:08:09,019] - INFO: Evaluate at epoch 6460! +[2024-05-24 22:08:13,068] - INFO: Eval PSNR (max): 38.052 (6255) SSIM (max): 0.9611 (5335) +[2024-05-24 22:08:13,068] - INFO: Eval PSNR (current): 38.046 (6460) SSIM (current): 0.9609 (6460) +[2024-05-24 22:08:13,068] - INFO: Evaluation over. +[2024-05-24 22:08:17,752] - INFO: Epoch 6461/9999, Iter 323000: Loss = 0.011017102748155594, lr = [5e-05] +[2024-05-24 22:08:45,161] - INFO: Epoch 6461/9999, Iter 323020: Loss = 0.014769596047699451, lr = [5e-05] +[2024-05-24 22:09:12,177] - INFO: Epoch 6461/9999, Iter 323040: Loss = 0.013577699661254883, lr = [5e-05] +[2024-05-24 22:09:41,668] - INFO: Epoch 6462/9999, Iter 323060: Loss = 0.012929163873195648, lr = [5e-05] +[2024-05-24 22:10:09,755] - INFO: Epoch 6462/9999, Iter 323080: Loss = 0.015230645425617695, lr = [5e-05] +[2024-05-24 22:10:38,382] - INFO: Epoch 6463/9999, Iter 323100: Loss = 0.012455982156097889, lr = [5e-05] +[2024-05-24 22:11:06,107] - INFO: Epoch 6463/9999, Iter 323120: Loss = 0.01416954305022955, lr = [5e-05] +[2024-05-24 22:11:33,989] - INFO: Epoch 6463/9999, Iter 323140: Loss = 0.009797162376344204, lr = [5e-05] +[2024-05-24 22:12:02,479] - INFO: Epoch 6464/9999, Iter 323160: Loss = 0.013792137615382671, lr = [5e-05] +[2024-05-24 22:12:30,372] - INFO: Epoch 6464/9999, Iter 323180: Loss = 0.008894849568605423, lr = [5e-05] +[2024-05-24 22:12:59,987] - INFO: Epoch 6465/9999, Iter 323200: Loss = 0.014974943362176418, lr = [5e-05] +[2024-05-24 22:13:27,655] - INFO: Epoch 6465/9999, Iter 323220: Loss = 0.014734146185219288, lr = [5e-05] +[2024-05-24 22:13:55,963] - INFO: Epoch 6465/9999, Iter 323240: Loss = 0.011656652204692364, lr = [5e-05] +[2024-05-24 22:14:07,964] - INFO: Evaluate at epoch 6465! +[2024-05-24 22:14:12,009] - INFO: Eval PSNR (max): 38.052 (6255) SSIM (max): 0.9611 (5335) +[2024-05-24 22:14:12,009] - INFO: Eval PSNR (current): 38.044 (6465) SSIM (current): 0.9609 (6465) +[2024-05-24 22:14:12,009] - INFO: Evaluation over. +[2024-05-24 22:14:30,832] - INFO: Epoch 6466/9999, Iter 323260: Loss = 0.01437387801706791, lr = [5e-05] +[2024-05-24 22:14:58,555] - INFO: Epoch 6466/9999, Iter 323280: Loss = 0.013869589194655418, lr = [5e-05] +[2024-05-24 22:15:27,615] - INFO: Epoch 6467/9999, Iter 323300: Loss = 0.011183339171111584, lr = [5e-05] +[2024-05-24 22:15:54,999] - INFO: Epoch 6467/9999, Iter 323320: Loss = 0.01435765065252781, lr = [5e-05] +[2024-05-24 22:16:23,849] - INFO: Epoch 6467/9999, Iter 323340: Loss = 0.00981486402451992, lr = [5e-05] +[2024-05-24 22:16:52,486] - INFO: Epoch 6468/9999, Iter 323360: Loss = 0.006728688254952431, lr = [5e-05] +[2024-05-24 22:17:18,927] - INFO: Epoch 6468/9999, Iter 323380: Loss = 0.011836448684334755, lr = [5e-05] +[2024-05-24 22:17:48,335] - INFO: Epoch 6469/9999, Iter 323400: Loss = 0.01604045368731022, lr = [5e-05] +[2024-05-24 22:18:16,199] - INFO: Epoch 6469/9999, Iter 323420: Loss = 0.014607613906264305, lr = [5e-05] +[2024-05-24 22:18:42,855] - INFO: Epoch 6469/9999, Iter 323440: Loss = 0.01823665015399456, lr = [5e-05] +[2024-05-24 22:19:12,195] - INFO: Epoch 6470/9999, Iter 323460: Loss = 0.011054416187107563, lr = [5e-05] +[2024-05-24 22:19:40,159] - INFO: Epoch 6470/9999, Iter 323480: Loss = 0.01025725994259119, lr = [5e-05] +[2024-05-24 22:20:05,400] - INFO: Evaluate at epoch 6470! +[2024-05-24 22:20:09,438] - INFO: Eval PSNR (max): 38.052 (6255) SSIM (max): 0.9611 (5335) +[2024-05-24 22:20:09,439] - INFO: Eval PSNR (current): 38.028 (6470) SSIM (current): 0.9609 (6470) +[2024-05-24 22:20:09,439] - INFO: Evaluation over. +[2024-05-24 22:20:13,894] - INFO: Epoch 6471/9999, Iter 323500: Loss = 0.007684645708650351, lr = [5e-05] +[2024-05-24 22:20:42,028] - INFO: Epoch 6471/9999, Iter 323520: Loss = 0.011411135084927082, lr = [5e-05] +[2024-05-24 22:21:10,377] - INFO: Epoch 6471/9999, Iter 323540: Loss = 0.01047008577734232, lr = [5e-05] +[2024-05-24 22:21:40,067] - INFO: Epoch 6472/9999, Iter 323560: Loss = 0.013814510777592659, lr = [5e-05] +[2024-05-24 22:22:08,007] - INFO: Epoch 6472/9999, Iter 323580: Loss = 0.0208490751683712, lr = [5e-05] +[2024-05-24 22:22:36,928] - INFO: Epoch 6473/9999, Iter 323600: Loss = 0.010100445710122585, lr = [5e-05] +[2024-05-24 22:23:05,006] - INFO: Epoch 6473/9999, Iter 323620: Loss = 0.014790971763432026, lr = [5e-05] +[2024-05-24 22:23:32,957] - INFO: Epoch 6473/9999, Iter 323640: Loss = 0.011328532360494137, lr = [5e-05] +[2024-05-24 22:24:01,380] - INFO: Epoch 6474/9999, Iter 323660: Loss = 0.01981734298169613, lr = [5e-05] +[2024-05-24 22:24:28,636] - INFO: Epoch 6474/9999, Iter 323680: Loss = 0.014499403536319733, lr = [5e-05] +[2024-05-24 22:24:57,552] - INFO: Epoch 6475/9999, Iter 323700: Loss = 0.012026621028780937, lr = [5e-05] +[2024-05-24 22:25:25,147] - INFO: Epoch 6475/9999, Iter 323720: Loss = 0.013080880045890808, lr = [5e-05] +[2024-05-24 22:25:53,155] - INFO: Epoch 6475/9999, Iter 323740: Loss = 0.014322705566883087, lr = [5e-05] +[2024-05-24 22:26:05,443] - INFO: Evaluate at epoch 6475! +[2024-05-24 22:26:09,482] - INFO: Eval PSNR (max): 38.052 (6255) SSIM (max): 0.9611 (5335) +[2024-05-24 22:26:09,482] - INFO: Eval PSNR (current): 38.049 (6475) SSIM (current): 0.9610 (6475) +[2024-05-24 22:26:09,482] - INFO: Evaluation over. +[2024-05-24 22:26:28,752] - INFO: Epoch 6476/9999, Iter 323760: Loss = 0.016759632155299187, lr = [5e-05] +[2024-05-24 22:26:56,271] - INFO: Epoch 6476/9999, Iter 323780: Loss = 0.012828193604946136, lr = [5e-05] +[2024-05-24 22:27:25,104] - INFO: Epoch 6477/9999, Iter 323800: Loss = 0.011917950585484505, lr = [5e-05] +[2024-05-24 22:27:52,643] - INFO: Epoch 6477/9999, Iter 323820: Loss = 0.014121243730187416, lr = [5e-05] +[2024-05-24 22:28:18,971] - INFO: Epoch 6477/9999, Iter 323840: Loss = 0.011804960668087006, lr = [5e-05] +[2024-05-24 22:28:47,495] - INFO: Epoch 6478/9999, Iter 323860: Loss = 0.008838696405291557, lr = [5e-05] +[2024-05-24 22:29:15,903] - INFO: Epoch 6478/9999, Iter 323880: Loss = 0.009783114306628704, lr = [5e-05] +[2024-05-24 22:29:44,792] - INFO: Epoch 6479/9999, Iter 323900: Loss = 0.011100469157099724, lr = [5e-05] +[2024-05-24 22:30:13,058] - INFO: Epoch 6479/9999, Iter 323920: Loss = 0.011700762435793877, lr = [5e-05] +[2024-05-24 22:30:40,003] - INFO: Epoch 6479/9999, Iter 323940: Loss = 0.016773128882050514, lr = [5e-05] +[2024-05-24 22:31:09,443] - INFO: Epoch 6480/9999, Iter 323960: Loss = 0.01208894606679678, lr = [5e-05] +[2024-05-24 22:31:37,595] - INFO: Epoch 6480/9999, Iter 323980: Loss = 0.010794312693178654, lr = [5e-05] +[2024-05-24 22:32:03,279] - INFO: Evaluate at epoch 6480! +[2024-05-24 22:32:07,329] - INFO: Eval PSNR (max): 38.052 (6255) SSIM (max): 0.9611 (5335) +[2024-05-24 22:32:07,330] - INFO: Eval PSNR (current): 38.043 (6480) SSIM (current): 0.9609 (6480) +[2024-05-24 22:32:07,330] - INFO: Evaluation over. +[2024-05-24 22:32:11,782] - INFO: Epoch 6481/9999, Iter 324000: Loss = 0.008305567316710949, lr = [5e-05] +[2024-05-24 22:32:38,044] - INFO: Epoch 6481/9999, Iter 324020: Loss = 0.011189687065780163, lr = [5e-05] +[2024-05-24 22:33:05,877] - INFO: Epoch 6481/9999, Iter 324040: Loss = 0.010903901420533657, lr = [5e-05] +[2024-05-24 22:33:35,763] - INFO: Epoch 6482/9999, Iter 324060: Loss = 0.015107269398868084, lr = [5e-05] +[2024-05-24 22:34:03,885] - INFO: Epoch 6482/9999, Iter 324080: Loss = 0.015156006440520287, lr = [5e-05] +[2024-05-24 22:34:32,785] - INFO: Epoch 6483/9999, Iter 324100: Loss = 0.010124589316546917, lr = [5e-05] +[2024-05-24 22:35:00,919] - INFO: Epoch 6483/9999, Iter 324120: Loss = 0.0150601202622056, lr = [5e-05] +[2024-05-24 22:35:28,647] - INFO: Epoch 6483/9999, Iter 324140: Loss = 0.02089257352054119, lr = [5e-05] +[2024-05-24 22:35:57,847] - INFO: Epoch 6484/9999, Iter 324160: Loss = 0.01933564804494381, lr = [5e-05] +[2024-05-24 22:36:24,477] - INFO: Epoch 6484/9999, Iter 324180: Loss = 0.012501777149736881, lr = [5e-05] +[2024-05-24 22:36:52,772] - INFO: Epoch 6485/9999, Iter 324200: Loss = 0.013429388403892517, lr = [5e-05] +[2024-05-24 22:37:20,915] - INFO: Epoch 6485/9999, Iter 324220: Loss = 0.011722791939973831, lr = [5e-05] +[2024-05-24 22:37:48,867] - INFO: Epoch 6485/9999, Iter 324240: Loss = 0.012070201337337494, lr = [5e-05] +[2024-05-24 22:38:01,119] - INFO: Evaluate at epoch 6485! +[2024-05-24 22:38:05,166] - INFO: Eval PSNR (max): 38.052 (6255) SSIM (max): 0.9611 (5335) +[2024-05-24 22:38:05,166] - INFO: Eval PSNR (current): 38.028 (6485) SSIM (current): 0.9610 (6485) +[2024-05-24 22:38:05,166] - INFO: Evaluation over. +[2024-05-24 22:38:23,331] - INFO: Epoch 6486/9999, Iter 324260: Loss = 0.011037399061024189, lr = [5e-05] +[2024-05-24 22:38:51,849] - INFO: Epoch 6486/9999, Iter 324280: Loss = 0.009583305567502975, lr = [5e-05] +[2024-05-24 22:39:20,938] - INFO: Epoch 6487/9999, Iter 324300: Loss = 0.016013167798519135, lr = [5e-05] +[2024-05-24 22:39:48,835] - INFO: Epoch 6487/9999, Iter 324320: Loss = 0.010779999196529388, lr = [5e-05] +[2024-05-24 22:40:16,211] - INFO: Epoch 6487/9999, Iter 324340: Loss = 0.018033543601632118, lr = [5e-05] +[2024-05-24 22:40:45,432] - INFO: Epoch 6488/9999, Iter 324360: Loss = 0.013840911909937859, lr = [5e-05] +[2024-05-24 22:41:13,257] - INFO: Epoch 6488/9999, Iter 324380: Loss = 0.013812771998345852, lr = [5e-05] +[2024-05-24 22:41:42,050] - INFO: Epoch 6489/9999, Iter 324400: Loss = 0.011652986519038677, lr = [5e-05] +[2024-05-24 22:42:10,425] - INFO: Epoch 6489/9999, Iter 324420: Loss = 0.01690225675702095, lr = [5e-05] +[2024-05-24 22:42:38,065] - INFO: Epoch 6489/9999, Iter 324440: Loss = 0.014342385344207287, lr = [5e-05] +[2024-05-24 22:43:07,595] - INFO: Epoch 6490/9999, Iter 324460: Loss = 0.015455656684935093, lr = [5e-05] +[2024-05-24 22:43:35,504] - INFO: Epoch 6490/9999, Iter 324480: Loss = 0.010843157768249512, lr = [5e-05] +[2024-05-24 22:44:01,485] - INFO: Evaluate at epoch 6490! +[2024-05-24 22:44:05,531] - INFO: Eval PSNR (max): 38.052 (6255) SSIM (max): 0.9611 (5335) +[2024-05-24 22:44:05,532] - INFO: Eval PSNR (current): 38.019 (6490) SSIM (current): 0.9608 (6490) +[2024-05-24 22:44:05,532] - INFO: Evaluation over. +[2024-05-24 22:44:10,547] - INFO: Epoch 6491/9999, Iter 324500: Loss = 0.012009060010313988, lr = [5e-05] +[2024-05-24 22:44:38,060] - INFO: Epoch 6491/9999, Iter 324520: Loss = 0.012101716361939907, lr = [5e-05] +[2024-05-24 22:45:06,294] - INFO: Epoch 6491/9999, Iter 324540: Loss = 0.007730743382126093, lr = [5e-05] +[2024-05-24 22:45:35,875] - INFO: Epoch 6492/9999, Iter 324560: Loss = 0.011297987774014473, lr = [5e-05] +[2024-05-24 22:46:03,462] - INFO: Epoch 6492/9999, Iter 324580: Loss = 0.007722728885710239, lr = [5e-05] +[2024-05-24 22:46:32,219] - INFO: Epoch 6493/9999, Iter 324600: Loss = 0.011379359290003777, lr = [5e-05] +[2024-05-24 22:47:00,463] - INFO: Epoch 6493/9999, Iter 324620: Loss = 0.017963280901312828, lr = [5e-05] +[2024-05-24 22:47:27,771] - INFO: Epoch 6493/9999, Iter 324640: Loss = 0.021688982844352722, lr = [5e-05] +[2024-05-24 22:47:56,682] - INFO: Epoch 6494/9999, Iter 324660: Loss = 0.014765655621886253, lr = [5e-05] +[2024-05-24 22:48:23,787] - INFO: Epoch 6494/9999, Iter 324680: Loss = 0.0115430923178792, lr = [5e-05] +[2024-05-24 22:48:52,895] - INFO: Epoch 6495/9999, Iter 324700: Loss = 0.0082979341968894, lr = [5e-05] +[2024-05-24 22:49:20,774] - INFO: Epoch 6495/9999, Iter 324720: Loss = 0.01464778371155262, lr = [5e-05] +[2024-05-24 22:49:47,999] - INFO: Epoch 6495/9999, Iter 324740: Loss = 0.0154929393902421, lr = [5e-05] +[2024-05-24 22:49:59,664] - INFO: Evaluate at epoch 6495! +[2024-05-24 22:50:03,708] - INFO: Eval PSNR (max): 38.052 (6255) SSIM (max): 0.9611 (5335) +[2024-05-24 22:50:03,708] - INFO: Eval PSNR (current): 38.027 (6495) SSIM (current): 0.9610 (6495) +[2024-05-24 22:50:03,708] - INFO: Evaluation over. +[2024-05-24 22:50:21,911] - INFO: Epoch 6496/9999, Iter 324760: Loss = 0.01114772167056799, lr = [5e-05] +[2024-05-24 22:50:49,278] - INFO: Epoch 6496/9999, Iter 324780: Loss = 0.01279055792838335, lr = [5e-05] +[2024-05-24 22:51:18,086] - INFO: Epoch 6497/9999, Iter 324800: Loss = 0.008445622399449348, lr = [5e-05] +[2024-05-24 22:51:46,172] - INFO: Epoch 6497/9999, Iter 324820: Loss = 0.019319048151373863, lr = [5e-05] +[2024-05-24 22:52:14,451] - INFO: Epoch 6497/9999, Iter 324840: Loss = 0.01198680978268385, lr = [5e-05] +[2024-05-24 22:52:43,225] - INFO: Epoch 6498/9999, Iter 324860: Loss = 0.009938453324139118, lr = [5e-05] +[2024-05-24 22:53:10,755] - INFO: Epoch 6498/9999, Iter 324880: Loss = 0.02081209607422352, lr = [5e-05] +[2024-05-24 22:53:39,663] - INFO: Epoch 6499/9999, Iter 324900: Loss = 0.012031543999910355, lr = [5e-05] +[2024-05-24 22:54:08,039] - INFO: Epoch 6499/9999, Iter 324920: Loss = 0.016479389742016792, lr = [5e-05] +[2024-05-24 22:54:35,823] - INFO: Epoch 6499/9999, Iter 324940: Loss = 0.01222215872257948, lr = [5e-05] +[2024-05-24 22:55:03,872] - INFO: Epoch 6500/9999, Iter 324960: Loss = 0.014331630431115627, lr = [5e-05] +[2024-05-24 22:55:31,660] - INFO: Epoch 6500/9999, Iter 324980: Loss = 0.017184631898999214, lr = [5e-05] +[2024-05-24 22:55:57,700] - INFO: Evaluate at epoch 6500! +[2024-05-24 22:56:01,749] - INFO: Eval PSNR (max): 38.052 (6255) SSIM (max): 0.9611 (5335) +[2024-05-24 22:56:01,749] - INFO: Eval PSNR (current): 38.040 (6500) SSIM (current): 0.9610 (6500) +[2024-05-24 22:56:01,749] - INFO: Evaluation over. +[2024-05-24 22:56:06,214] - INFO: Epoch 6501/9999, Iter 325000: Loss = 0.017075255513191223, lr = [5e-05] +[2024-05-24 22:56:33,867] - INFO: Epoch 6501/9999, Iter 325020: Loss = 0.006631981581449509, lr = [5e-05] +[2024-05-24 22:57:01,604] - INFO: Epoch 6501/9999, Iter 325040: Loss = 0.011065688915550709, lr = [5e-05] +[2024-05-24 22:57:31,534] - INFO: Epoch 6502/9999, Iter 325060: Loss = 0.01968585141003132, lr = [5e-05] +[2024-05-24 22:57:58,822] - INFO: Epoch 6502/9999, Iter 325080: Loss = 0.01434267032891512, lr = [5e-05] +[2024-05-24 22:58:27,232] - INFO: Epoch 6503/9999, Iter 325100: Loss = 0.013812822289764881, lr = [5e-05] +[2024-05-24 22:58:55,404] - INFO: Epoch 6503/9999, Iter 325120: Loss = 0.015703441575169563, lr = [5e-05] +[2024-05-24 22:59:23,768] - INFO: Epoch 6503/9999, Iter 325140: Loss = 0.011661898344755173, lr = [5e-05] +[2024-05-24 22:59:51,955] - INFO: Epoch 6504/9999, Iter 325160: Loss = 0.008016617968678474, lr = [5e-05] +[2024-05-24 23:00:19,245] - INFO: Epoch 6504/9999, Iter 325180: Loss = 0.011002742685377598, lr = [5e-05] +[2024-05-24 23:00:48,048] - INFO: Epoch 6505/9999, Iter 325200: Loss = 0.008118391036987305, lr = [5e-05] +[2024-05-24 23:01:14,964] - INFO: Epoch 6505/9999, Iter 325220: Loss = 0.01620415225625038, lr = [5e-05] +[2024-05-24 23:01:42,642] - INFO: Epoch 6505/9999, Iter 325240: Loss = 0.011672340333461761, lr = [5e-05] +[2024-05-24 23:01:54,508] - INFO: Evaluate at epoch 6505! +[2024-05-24 23:01:58,553] - INFO: Eval PSNR (max): 38.052 (6255) SSIM (max): 0.9611 (5335) +[2024-05-24 23:01:58,554] - INFO: Eval PSNR (current): 38.003 (6505) SSIM (current): 0.9609 (6505) +[2024-05-24 23:01:58,554] - INFO: Evaluation over. +[2024-05-24 23:02:17,267] - INFO: Epoch 6506/9999, Iter 325260: Loss = 0.017935477197170258, lr = [5e-05] +[2024-05-24 23:02:44,723] - INFO: Epoch 6506/9999, Iter 325280: Loss = 0.010922936722636223, lr = [5e-05] +[2024-05-24 23:03:13,644] - INFO: Epoch 6507/9999, Iter 325300: Loss = 0.013911742717027664, lr = [5e-05] +[2024-05-24 23:03:41,313] - INFO: Epoch 6507/9999, Iter 325320: Loss = 0.009152732789516449, lr = [5e-05] +[2024-05-24 23:04:09,855] - INFO: Epoch 6507/9999, Iter 325340: Loss = 0.015593606047332287, lr = [5e-05] +[2024-05-24 23:04:37,409] - INFO: Epoch 6508/9999, Iter 325360: Loss = 0.01897842437028885, lr = [5e-05] +[2024-05-24 23:05:04,795] - INFO: Epoch 6508/9999, Iter 325380: Loss = 0.016795936971902847, lr = [5e-05] +[2024-05-24 23:05:33,799] - INFO: Epoch 6509/9999, Iter 325400: Loss = 0.01076545286923647, lr = [5e-05] +[2024-05-24 23:06:01,711] - INFO: Epoch 6509/9999, Iter 325420: Loss = 0.009289848618209362, lr = [5e-05] +[2024-05-24 23:06:29,273] - INFO: Epoch 6509/9999, Iter 325440: Loss = 0.013239044696092606, lr = [5e-05] +[2024-05-24 23:06:58,554] - INFO: Epoch 6510/9999, Iter 325460: Loss = 0.014691904187202454, lr = [5e-05] +[2024-05-24 23:07:25,534] - INFO: Epoch 6510/9999, Iter 325480: Loss = 0.005296990741044283, lr = [5e-05] +[2024-05-24 23:07:51,559] - INFO: Evaluate at epoch 6510! +[2024-05-24 23:07:55,609] - INFO: Eval PSNR (max): 38.052 (6255) SSIM (max): 0.9611 (5335) +[2024-05-24 23:07:55,609] - INFO: Eval PSNR (current): 38.043 (6510) SSIM (current): 0.9609 (6510) +[2024-05-24 23:07:55,609] - INFO: Evaluation over. +[2024-05-24 23:08:00,436] - INFO: Epoch 6511/9999, Iter 325500: Loss = 0.01278085820376873, lr = [5e-05] +[2024-05-24 23:08:28,395] - INFO: Epoch 6511/9999, Iter 325520: Loss = 0.013743311166763306, lr = [5e-05] +[2024-05-24 23:08:56,228] - INFO: Epoch 6511/9999, Iter 325540: Loss = 0.01217982079833746, lr = [5e-05] +[2024-05-24 23:09:25,240] - INFO: Epoch 6512/9999, Iter 325560: Loss = 0.013832328841090202, lr = [5e-05] +[2024-05-24 23:09:52,359] - INFO: Epoch 6512/9999, Iter 325580: Loss = 0.01335818786174059, lr = [5e-05] +[2024-05-24 23:10:21,235] - INFO: Epoch 6513/9999, Iter 325600: Loss = 0.016244936734437943, lr = [5e-05] +[2024-05-24 23:10:48,850] - INFO: Epoch 6513/9999, Iter 325620: Loss = 0.014017206616699696, lr = [5e-05] +[2024-05-24 23:11:15,643] - INFO: Epoch 6513/9999, Iter 325640: Loss = 0.014974011108279228, lr = [5e-05] +[2024-05-24 23:11:44,819] - INFO: Epoch 6514/9999, Iter 325660: Loss = 0.012747514992952347, lr = [5e-05] +[2024-05-24 23:12:12,226] - INFO: Epoch 6514/9999, Iter 325680: Loss = 0.00781928189098835, lr = [5e-05] +[2024-05-24 23:12:41,586] - INFO: Epoch 6515/9999, Iter 325700: Loss = 0.016443880274891853, lr = [5e-05] +[2024-05-24 23:13:08,115] - INFO: Epoch 6515/9999, Iter 325720: Loss = 0.01319198589771986, lr = [5e-05] +[2024-05-24 23:13:35,123] - INFO: Epoch 6515/9999, Iter 325740: Loss = 0.007484393659979105, lr = [5e-05] +[2024-05-24 23:13:47,745] - INFO: Evaluate at epoch 6515! +[2024-05-24 23:13:51,787] - INFO: Eval PSNR (max): 38.052 (6255) SSIM (max): 0.9611 (5335) +[2024-05-24 23:13:51,787] - INFO: Eval PSNR (current): 37.984 (6515) SSIM (current): 0.9609 (6515) +[2024-05-24 23:13:51,787] - INFO: Evaluation over. +[2024-05-24 23:14:09,747] - INFO: Epoch 6516/9999, Iter 325760: Loss = 0.01413436233997345, lr = [5e-05] +[2024-05-24 23:14:36,741] - INFO: Epoch 6516/9999, Iter 325780: Loss = 0.01328587718307972, lr = [5e-05] +[2024-05-24 23:15:05,362] - INFO: Epoch 6517/9999, Iter 325800: Loss = 0.009726635180413723, lr = [5e-05] +[2024-05-24 23:15:32,089] - INFO: Epoch 6517/9999, Iter 325820: Loss = 0.01311234850436449, lr = [5e-05] +[2024-05-24 23:16:00,782] - INFO: Epoch 6517/9999, Iter 325840: Loss = 0.010606156662106514, lr = [5e-05] +[2024-05-24 23:16:30,291] - INFO: Epoch 6518/9999, Iter 325860: Loss = 0.014427194371819496, lr = [5e-05] +[2024-05-24 23:16:58,395] - INFO: Epoch 6518/9999, Iter 325880: Loss = 0.01003981102257967, lr = [5e-05] +[2024-05-24 23:17:27,308] - INFO: Epoch 6519/9999, Iter 325900: Loss = 0.014555759727954865, lr = [5e-05] +[2024-05-24 23:17:54,983] - INFO: Epoch 6519/9999, Iter 325920: Loss = 0.016423989087343216, lr = [5e-05] +[2024-05-24 23:18:23,110] - INFO: Epoch 6519/9999, Iter 325940: Loss = 0.014945322647690773, lr = [5e-05] +[2024-05-24 23:18:52,063] - INFO: Epoch 6520/9999, Iter 325960: Loss = 0.013577505946159363, lr = [5e-05] +[2024-05-24 23:19:20,531] - INFO: Epoch 6520/9999, Iter 325980: Loss = 0.017921730875968933, lr = [5e-05] +[2024-05-24 23:19:46,327] - INFO: Evaluate at epoch 6520! +[2024-05-24 23:19:52,389] - INFO: Eval PSNR (max): 38.058 (6520) SSIM (max): 0.9611 (5335) +[2024-05-24 23:19:52,389] - INFO: Eval PSNR (current): 38.058 (6520) SSIM (current): 0.9609 (6520) +[2024-05-24 23:19:52,389] - INFO: Evaluation over. +[2024-05-24 23:19:56,963] - INFO: Epoch 6521/9999, Iter 326000: Loss = 0.006727010011672974, lr = [5e-05] +[2024-05-24 23:20:24,513] - INFO: Epoch 6521/9999, Iter 326020: Loss = 0.01163817010819912, lr = [5e-05] +[2024-05-24 23:20:51,427] - INFO: Epoch 6521/9999, Iter 326040: Loss = 0.013573155738413334, lr = [5e-05] +[2024-05-24 23:21:20,428] - INFO: Epoch 6522/9999, Iter 326060: Loss = 0.011470808647572994, lr = [5e-05] +[2024-05-24 23:21:47,896] - INFO: Epoch 6522/9999, Iter 326080: Loss = 0.013394856825470924, lr = [5e-05] +[2024-05-24 23:22:16,067] - INFO: Epoch 6523/9999, Iter 326100: Loss = 0.017994994297623634, lr = [5e-05] +[2024-05-24 23:22:43,351] - INFO: Epoch 6523/9999, Iter 326120: Loss = 0.012943659909069538, lr = [5e-05] +[2024-05-24 23:23:10,796] - INFO: Epoch 6523/9999, Iter 326140: Loss = 0.010294518433511257, lr = [5e-05] +[2024-05-24 23:23:40,495] - INFO: Epoch 6524/9999, Iter 326160: Loss = 0.007949107326567173, lr = [5e-05] +[2024-05-24 23:24:07,674] - INFO: Epoch 6524/9999, Iter 326180: Loss = 0.010669650509953499, lr = [5e-05] +[2024-05-24 23:24:35,903] - INFO: Epoch 6525/9999, Iter 326200: Loss = 0.016405660659074783, lr = [5e-05] +[2024-05-24 23:25:03,719] - INFO: Epoch 6525/9999, Iter 326220: Loss = 0.011782542802393436, lr = [5e-05] +[2024-05-24 23:25:31,907] - INFO: Epoch 6525/9999, Iter 326240: Loss = 0.010363503359258175, lr = [5e-05] +[2024-05-24 23:25:44,136] - INFO: Evaluate at epoch 6525! +[2024-05-24 23:25:48,217] - INFO: Eval PSNR (max): 38.058 (6520) SSIM (max): 0.9611 (5335) +[2024-05-24 23:25:48,217] - INFO: Eval PSNR (current): 38.055 (6525) SSIM (current): 0.9610 (6525) +[2024-05-24 23:25:48,217] - INFO: Evaluation over. +[2024-05-24 23:26:07,134] - INFO: Epoch 6526/9999, Iter 326260: Loss = 0.010104496031999588, lr = [5e-05] +[2024-05-24 23:26:34,452] - INFO: Epoch 6526/9999, Iter 326280: Loss = 0.008425327949225903, lr = [5e-05] +[2024-05-24 23:27:03,160] - INFO: Epoch 6527/9999, Iter 326300: Loss = 0.009680891409516335, lr = [5e-05] +[2024-05-24 23:27:30,925] - INFO: Epoch 6527/9999, Iter 326320: Loss = 0.010753242298960686, lr = [5e-05] +[2024-05-24 23:27:57,932] - INFO: Epoch 6527/9999, Iter 326340: Loss = 0.014188543893396854, lr = [5e-05] +[2024-05-24 23:28:27,690] - INFO: Epoch 6528/9999, Iter 326360: Loss = 0.017934445291757584, lr = [5e-05] +[2024-05-24 23:28:54,683] - INFO: Epoch 6528/9999, Iter 326380: Loss = 0.01059888955205679, lr = [5e-05] +[2024-05-24 23:29:24,091] - INFO: Epoch 6529/9999, Iter 326400: Loss = 0.01595667377114296, lr = [5e-05] +[2024-05-24 23:29:52,887] - INFO: Epoch 6529/9999, Iter 326420: Loss = 0.012819081544876099, lr = [5e-05] +[2024-05-24 23:30:20,757] - INFO: Epoch 6529/9999, Iter 326440: Loss = 0.012963244691491127, lr = [5e-05] +[2024-05-24 23:30:48,651] - INFO: Epoch 6530/9999, Iter 326460: Loss = 0.014543067663908005, lr = [5e-05] +[2024-05-24 23:31:15,998] - INFO: Epoch 6530/9999, Iter 326480: Loss = 0.01673148386180401, lr = [5e-05] +[2024-05-24 23:31:41,720] - INFO: Evaluate at epoch 6530! +[2024-05-24 23:31:45,798] - INFO: Eval PSNR (max): 38.058 (6520) SSIM (max): 0.9611 (5335) +[2024-05-24 23:31:45,798] - INFO: Eval PSNR (current): 38.048 (6530) SSIM (current): 0.9609 (6530) +[2024-05-24 23:31:45,798] - INFO: Evaluation over. +[2024-05-24 23:31:50,330] - INFO: Epoch 6531/9999, Iter 326500: Loss = 0.01258765161037445, lr = [5e-05] +[2024-05-24 23:32:18,663] - INFO: Epoch 6531/9999, Iter 326520: Loss = 0.014059997163712978, lr = [5e-05] +[2024-05-24 23:32:46,271] - INFO: Epoch 6531/9999, Iter 326540: Loss = 0.013470488600432873, lr = [5e-05] +[2024-05-24 23:33:15,771] - INFO: Epoch 6532/9999, Iter 326560: Loss = 0.012118994258344173, lr = [5e-05] +[2024-05-24 23:33:43,035] - INFO: Epoch 6532/9999, Iter 326580: Loss = 0.007281347643584013, lr = [5e-05] +[2024-05-24 23:34:12,204] - INFO: Epoch 6533/9999, Iter 326600: Loss = 0.01359447743743658, lr = [5e-05] +[2024-05-24 23:34:39,471] - INFO: Epoch 6533/9999, Iter 326620: Loss = 0.009940591640770435, lr = [5e-05] +[2024-05-24 23:35:05,983] - INFO: Epoch 6533/9999, Iter 326640: Loss = 0.009249863214790821, lr = [5e-05] +[2024-05-24 23:35:35,105] - INFO: Epoch 6534/9999, Iter 326660: Loss = 0.01396016776561737, lr = [5e-05] +[2024-05-24 23:36:01,868] - INFO: Epoch 6534/9999, Iter 326680: Loss = 0.015666183084249496, lr = [5e-05] +[2024-05-24 23:36:31,656] - INFO: Epoch 6535/9999, Iter 326700: Loss = 0.01876758225262165, lr = [5e-05] +[2024-05-24 23:37:00,209] - INFO: Epoch 6535/9999, Iter 326720: Loss = 0.01828162930905819, lr = [5e-05] +[2024-05-24 23:37:26,873] - INFO: Epoch 6535/9999, Iter 326740: Loss = 0.020903343334794044, lr = [5e-05] +[2024-05-24 23:37:39,276] - INFO: Evaluate at epoch 6535! +[2024-05-24 23:37:43,356] - INFO: Eval PSNR (max): 38.058 (6520) SSIM (max): 0.9611 (5335) +[2024-05-24 23:37:43,356] - INFO: Eval PSNR (current): 37.985 (6535) SSIM (current): 0.9609 (6535) +[2024-05-24 23:37:43,356] - INFO: Evaluation over. +[2024-05-24 23:38:01,979] - INFO: Epoch 6536/9999, Iter 326760: Loss = 0.00958341732621193, lr = [5e-05] +[2024-05-24 23:38:28,759] - INFO: Epoch 6536/9999, Iter 326780: Loss = 0.009439746849238873, lr = [5e-05] +[2024-05-24 23:38:56,969] - INFO: Epoch 6537/9999, Iter 326800: Loss = 0.0195001270622015, lr = [5e-05] +[2024-05-24 23:39:25,331] - INFO: Epoch 6537/9999, Iter 326820: Loss = 0.015585429966449738, lr = [5e-05] +[2024-05-24 23:39:53,015] - INFO: Epoch 6537/9999, Iter 326840: Loss = 0.008342796005308628, lr = [5e-05] +[2024-05-24 23:40:21,242] - INFO: Epoch 6538/9999, Iter 326860: Loss = 0.014351743273437023, lr = [5e-05] +[2024-05-24 23:40:48,949] - INFO: Epoch 6538/9999, Iter 326880: Loss = 0.013373885303735733, lr = [5e-05] +[2024-05-24 23:41:17,731] - INFO: Epoch 6539/9999, Iter 326900: Loss = 0.017414577305316925, lr = [5e-05] +[2024-05-24 23:41:45,313] - INFO: Epoch 6539/9999, Iter 326920: Loss = 0.011181341484189034, lr = [5e-05] +[2024-05-24 23:42:11,982] - INFO: Epoch 6539/9999, Iter 326940: Loss = 0.014814336784183979, lr = [5e-05] +[2024-05-24 23:42:41,078] - INFO: Epoch 6540/9999, Iter 326960: Loss = 0.014133691787719727, lr = [5e-05] +[2024-05-24 23:43:09,215] - INFO: Epoch 6540/9999, Iter 326980: Loss = 0.013979430310428143, lr = [5e-05] +[2024-05-24 23:43:35,914] - INFO: Evaluate at epoch 6540! +[2024-05-24 23:43:40,000] - INFO: Eval PSNR (max): 38.058 (6520) SSIM (max): 0.9611 (5335) +[2024-05-24 23:43:40,000] - INFO: Eval PSNR (current): 38.047 (6540) SSIM (current): 0.9610 (6540) +[2024-05-24 23:43:40,000] - INFO: Evaluation over. +[2024-05-24 23:43:44,525] - INFO: Epoch 6541/9999, Iter 327000: Loss = 0.01582377776503563, lr = [5e-05] +[2024-05-24 23:44:12,300] - INFO: Epoch 6541/9999, Iter 327020: Loss = 0.013757333159446716, lr = [5e-05] +[2024-05-24 23:44:40,423] - INFO: Epoch 6541/9999, Iter 327040: Loss = 0.012212893925607204, lr = [5e-05] +[2024-05-24 23:45:08,583] - INFO: Epoch 6542/9999, Iter 327060: Loss = 0.012842348776757717, lr = [5e-05] +[2024-05-24 23:45:35,531] - INFO: Epoch 6542/9999, Iter 327080: Loss = 0.018375946208834648, lr = [5e-05] +[2024-05-24 23:46:04,851] - INFO: Epoch 6543/9999, Iter 327100: Loss = 0.012180428020656109, lr = [5e-05] +[2024-05-24 23:46:32,021] - INFO: Epoch 6543/9999, Iter 327120: Loss = 0.010347126983106136, lr = [5e-05] +[2024-05-24 23:46:59,433] - INFO: Epoch 6543/9999, Iter 327140: Loss = 0.015929795801639557, lr = [5e-05] +[2024-05-24 23:47:28,691] - INFO: Epoch 6544/9999, Iter 327160: Loss = 0.004417357500642538, lr = [5e-05] +[2024-05-24 23:47:56,645] - INFO: Epoch 6544/9999, Iter 327180: Loss = 0.015760065987706184, lr = [5e-05] +[2024-05-24 23:48:26,040] - INFO: Epoch 6545/9999, Iter 327200: Loss = 0.01139937061816454, lr = [5e-05] +[2024-05-24 23:48:53,579] - INFO: Epoch 6545/9999, Iter 327220: Loss = 0.012739591300487518, lr = [5e-05] +[2024-05-24 23:49:21,864] - INFO: Epoch 6545/9999, Iter 327240: Loss = 0.0064610750414431095, lr = [5e-05] +[2024-05-24 23:49:34,217] - INFO: Evaluate at epoch 6545! +[2024-05-24 23:49:38,300] - INFO: Eval PSNR (max): 38.058 (6520) SSIM (max): 0.9611 (5335) +[2024-05-24 23:49:38,300] - INFO: Eval PSNR (current): 38.038 (6545) SSIM (current): 0.9610 (6545) +[2024-05-24 23:49:38,300] - INFO: Evaluation over. +[2024-05-24 23:49:56,268] - INFO: Epoch 6546/9999, Iter 327260: Loss = 0.012680184096097946, lr = [5e-05] +[2024-05-24 23:50:23,267] - INFO: Epoch 6546/9999, Iter 327280: Loss = 0.013162389397621155, lr = [5e-05] +[2024-05-24 23:50:52,238] - INFO: Epoch 6547/9999, Iter 327300: Loss = 0.01034047082066536, lr = [5e-05] +[2024-05-24 23:51:20,512] - INFO: Epoch 6547/9999, Iter 327320: Loss = 0.014517663978040218, lr = [5e-05] +[2024-05-24 23:51:47,977] - INFO: Epoch 6547/9999, Iter 327340: Loss = 0.01595330610871315, lr = [5e-05] +[2024-05-24 23:52:17,119] - INFO: Epoch 6548/9999, Iter 327360: Loss = 0.011810828931629658, lr = [5e-05] +[2024-05-24 23:52:44,160] - INFO: Epoch 6548/9999, Iter 327380: Loss = 0.016246773302555084, lr = [5e-05] +[2024-05-24 23:53:13,554] - INFO: Epoch 6549/9999, Iter 327400: Loss = 0.012941856868565083, lr = [5e-05] +[2024-05-24 23:53:41,861] - INFO: Epoch 6549/9999, Iter 327420: Loss = 0.011273590847849846, lr = [5e-05] +[2024-05-24 23:54:09,901] - INFO: Epoch 6549/9999, Iter 327440: Loss = 0.011172248050570488, lr = [5e-05] +[2024-05-24 23:54:38,762] - INFO: Epoch 6550/9999, Iter 327460: Loss = 0.016763176769018173, lr = [5e-05] +[2024-05-24 23:55:06,599] - INFO: Epoch 6550/9999, Iter 327480: Loss = 0.007681765593588352, lr = [5e-05] +[2024-05-24 23:55:32,462] - INFO: Evaluate at epoch 6550! +[2024-05-24 23:55:36,552] - INFO: Eval PSNR (max): 38.058 (6520) SSIM (max): 0.9611 (5335) +[2024-05-24 23:55:36,552] - INFO: Eval PSNR (current): 38.029 (6550) SSIM (current): 0.9609 (6550) +[2024-05-24 23:55:36,552] - INFO: Evaluation over. +[2024-05-24 23:55:41,381] - INFO: Epoch 6551/9999, Iter 327500: Loss = 0.018684836104512215, lr = [5e-05] +[2024-05-24 23:56:08,339] - INFO: Epoch 6551/9999, Iter 327520: Loss = 0.012884043157100677, lr = [5e-05] +[2024-05-24 23:56:35,901] - INFO: Epoch 6551/9999, Iter 327540: Loss = 0.011627808213233948, lr = [5e-05] +[2024-05-24 23:57:05,003] - INFO: Epoch 6552/9999, Iter 327560: Loss = 0.015624976716935635, lr = [5e-05] +[2024-05-24 23:57:32,058] - INFO: Epoch 6552/9999, Iter 327580: Loss = 0.012945671565830708, lr = [5e-05] +[2024-05-24 23:58:00,735] - INFO: Epoch 6553/9999, Iter 327600: Loss = 0.013846111483871937, lr = [5e-05] +[2024-05-24 23:58:28,779] - INFO: Epoch 6553/9999, Iter 327620: Loss = 0.012569360435009003, lr = [5e-05] +[2024-05-24 23:58:57,453] - INFO: Epoch 6553/9999, Iter 327640: Loss = 0.011087757535278797, lr = [5e-05] +[2024-05-24 23:59:25,839] - INFO: Epoch 6554/9999, Iter 327660: Loss = 0.007299448829144239, lr = [5e-05] +[2024-05-24 23:59:53,354] - INFO: Epoch 6554/9999, Iter 327680: Loss = 0.01475728489458561, lr = [5e-05] +[2024-05-25 00:00:22,991] - INFO: Epoch 6555/9999, Iter 327700: Loss = 0.01489567756652832, lr = [5e-05] +[2024-05-25 00:00:50,777] - INFO: Epoch 6555/9999, Iter 327720: Loss = 0.014276820234954357, lr = [5e-05] +[2024-05-25 00:01:18,764] - INFO: Epoch 6555/9999, Iter 327740: Loss = 0.010862155817449093, lr = [5e-05] +[2024-05-25 00:01:30,838] - INFO: Evaluate at epoch 6555! +[2024-05-25 00:01:34,869] - INFO: Eval PSNR (max): 38.058 (6520) SSIM (max): 0.9611 (5335) +[2024-05-25 00:01:34,869] - INFO: Eval PSNR (current): 38.014 (6555) SSIM (current): 0.9609 (6555) +[2024-05-25 00:01:34,869] - INFO: Evaluation over. +[2024-05-25 00:01:53,675] - INFO: Epoch 6556/9999, Iter 327760: Loss = 0.008297166787087917, lr = [5e-05] +[2024-05-25 00:02:21,153] - INFO: Epoch 6556/9999, Iter 327780: Loss = 0.01781022734940052, lr = [5e-05] +[2024-05-25 00:02:49,754] - INFO: Epoch 6557/9999, Iter 327800: Loss = 0.018061170354485512, lr = [5e-05] +[2024-05-25 00:03:17,821] - INFO: Epoch 6557/9999, Iter 327820: Loss = 0.014179653488099575, lr = [5e-05] +[2024-05-25 00:03:44,551] - INFO: Epoch 6557/9999, Iter 327840: Loss = 0.014606926590204239, lr = [5e-05] +[2024-05-25 00:04:13,968] - INFO: Epoch 6558/9999, Iter 327860: Loss = 0.01322925090789795, lr = [5e-05] +[2024-05-25 00:04:41,461] - INFO: Epoch 6558/9999, Iter 327880: Loss = 0.017798101529479027, lr = [5e-05] +[2024-05-25 00:05:10,784] - INFO: Epoch 6559/9999, Iter 327900: Loss = 0.012010132893919945, lr = [5e-05] +[2024-05-25 00:05:38,493] - INFO: Epoch 6559/9999, Iter 327920: Loss = 0.016188260167837143, lr = [5e-05] +[2024-05-25 00:06:06,340] - INFO: Epoch 6559/9999, Iter 327940: Loss = 0.012810617685317993, lr = [5e-05] +[2024-05-25 00:06:35,462] - INFO: Epoch 6560/9999, Iter 327960: Loss = 0.008990894071757793, lr = [5e-05] +[2024-05-25 00:07:03,435] - INFO: Epoch 6560/9999, Iter 327980: Loss = 0.012099575251340866, lr = [5e-05] +[2024-05-25 00:07:30,187] - INFO: Evaluate at epoch 6560! +[2024-05-25 00:07:34,215] - INFO: Eval PSNR (max): 38.058 (6520) SSIM (max): 0.9611 (5335) +[2024-05-25 00:07:34,215] - INFO: Eval PSNR (current): 38.010 (6560) SSIM (current): 0.9609 (6560) +[2024-05-25 00:07:34,215] - INFO: Evaluation over. +[2024-05-25 00:07:39,138] - INFO: Epoch 6561/9999, Iter 328000: Loss = 0.010635190643370152, lr = [5e-05] +[2024-05-25 00:08:06,771] - INFO: Epoch 6561/9999, Iter 328020: Loss = 0.015485977753996849, lr = [5e-05] +[2024-05-25 00:08:33,704] - INFO: Epoch 6561/9999, Iter 328040: Loss = 0.012652615085244179, lr = [5e-05] +[2024-05-25 00:09:03,183] - INFO: Epoch 6562/9999, Iter 328060: Loss = 0.006989087909460068, lr = [5e-05] +[2024-05-25 00:09:30,925] - INFO: Epoch 6562/9999, Iter 328080: Loss = 0.01597866229712963, lr = [5e-05] +[2024-05-25 00:09:59,684] - INFO: Epoch 6563/9999, Iter 328100: Loss = 0.012092726305127144, lr = [5e-05] +[2024-05-25 00:10:27,930] - INFO: Epoch 6563/9999, Iter 328120: Loss = 0.018321529030799866, lr = [5e-05] +[2024-05-25 00:10:56,117] - INFO: Epoch 6563/9999, Iter 328140: Loss = 0.01143573597073555, lr = [5e-05] +[2024-05-25 00:11:24,811] - INFO: Epoch 6564/9999, Iter 328160: Loss = 0.016308238729834557, lr = [5e-05] +[2024-05-25 00:11:52,711] - INFO: Epoch 6564/9999, Iter 328180: Loss = 0.015078072436153889, lr = [5e-05] +[2024-05-25 00:12:21,599] - INFO: Epoch 6565/9999, Iter 328200: Loss = 0.009279120713472366, lr = [5e-05] +[2024-05-25 00:12:49,331] - INFO: Epoch 6565/9999, Iter 328220: Loss = 0.016134286299347878, lr = [5e-05] +[2024-05-25 00:13:17,747] - INFO: Epoch 6565/9999, Iter 328240: Loss = 0.012906216084957123, lr = [5e-05] +[2024-05-25 00:13:29,797] - INFO: Evaluate at epoch 6565! +[2024-05-25 00:13:33,831] - INFO: Eval PSNR (max): 38.058 (6520) SSIM (max): 0.9611 (5335) +[2024-05-25 00:13:33,831] - INFO: Eval PSNR (current): 38.032 (6565) SSIM (current): 0.9609 (6565) +[2024-05-25 00:13:33,831] - INFO: Evaluation over. +[2024-05-25 00:13:52,951] - INFO: Epoch 6566/9999, Iter 328260: Loss = 0.009482566267251968, lr = [5e-05] +[2024-05-25 00:14:21,469] - INFO: Epoch 6566/9999, Iter 328280: Loss = 0.018842097371816635, lr = [5e-05] +[2024-05-25 00:14:49,916] - INFO: Epoch 6567/9999, Iter 328300: Loss = 0.011363129131495953, lr = [5e-05] +[2024-05-25 00:15:17,165] - INFO: Epoch 6567/9999, Iter 328320: Loss = 0.012403254397213459, lr = [5e-05] +[2024-05-25 00:15:44,603] - INFO: Epoch 6567/9999, Iter 328340: Loss = 0.00988086499273777, lr = [5e-05] +[2024-05-25 00:16:12,763] - INFO: Epoch 6568/9999, Iter 328360: Loss = 0.013759264722466469, lr = [5e-05] +[2024-05-25 00:16:39,811] - INFO: Epoch 6568/9999, Iter 328380: Loss = 0.014490891247987747, lr = [5e-05] +[2024-05-25 00:17:09,168] - INFO: Epoch 6569/9999, Iter 328400: Loss = 0.008683232590556145, lr = [5e-05] +[2024-05-25 00:17:37,118] - INFO: Epoch 6569/9999, Iter 328420: Loss = 0.014593003317713737, lr = [5e-05] +[2024-05-25 00:18:04,077] - INFO: Epoch 6569/9999, Iter 328440: Loss = 0.012632778845727444, lr = [5e-05] +[2024-05-25 00:18:33,053] - INFO: Epoch 6570/9999, Iter 328460: Loss = 0.012139971368014812, lr = [5e-05] +[2024-05-25 00:19:01,087] - INFO: Epoch 6570/9999, Iter 328480: Loss = 0.013571957126259804, lr = [5e-05] +[2024-05-25 00:19:26,911] - INFO: Evaluate at epoch 6570! +[2024-05-25 00:19:30,949] - INFO: Eval PSNR (max): 38.058 (6520) SSIM (max): 0.9611 (5335) +[2024-05-25 00:19:30,950] - INFO: Eval PSNR (current): 37.993 (6570) SSIM (current): 0.9609 (6570) +[2024-05-25 00:19:30,950] - INFO: Evaluation over. +[2024-05-25 00:19:35,611] - INFO: Epoch 6571/9999, Iter 328500: Loss = 0.01416914351284504, lr = [5e-05] +[2024-05-25 00:20:04,259] - INFO: Epoch 6571/9999, Iter 328520: Loss = 0.01760719157755375, lr = [5e-05] +[2024-05-25 00:20:32,511] - INFO: Epoch 6571/9999, Iter 328540: Loss = 0.012114573270082474, lr = [5e-05] +[2024-05-25 00:21:00,207] - INFO: Epoch 6572/9999, Iter 328560: Loss = 0.013148528523743153, lr = [5e-05] +[2024-05-25 00:21:27,800] - INFO: Epoch 6572/9999, Iter 328580: Loss = 0.010780795477330685, lr = [5e-05] +[2024-05-25 00:21:56,028] - INFO: Epoch 6573/9999, Iter 328600: Loss = 0.015165763907134533, lr = [5e-05] +[2024-05-25 00:22:24,218] - INFO: Epoch 6573/9999, Iter 328620: Loss = 0.00998967420309782, lr = [5e-05] +[2024-05-25 00:22:52,325] - INFO: Epoch 6573/9999, Iter 328640: Loss = 0.010762106627225876, lr = [5e-05] +[2024-05-25 00:23:21,183] - INFO: Epoch 6574/9999, Iter 328660: Loss = 0.009038237854838371, lr = [5e-05] +[2024-05-25 00:23:47,760] - INFO: Epoch 6574/9999, Iter 328680: Loss = 0.011994765140116215, lr = [5e-05] +[2024-05-25 00:24:16,928] - INFO: Epoch 6575/9999, Iter 328700: Loss = 0.016707608476281166, lr = [5e-05] +[2024-05-25 00:24:43,908] - INFO: Epoch 6575/9999, Iter 328720: Loss = 0.023356810212135315, lr = [5e-05] +[2024-05-25 00:25:10,821] - INFO: Epoch 6575/9999, Iter 328740: Loss = 0.0127946138381958, lr = [5e-05] +[2024-05-25 00:25:23,344] - INFO: Evaluate at epoch 6575! +[2024-05-25 00:25:27,377] - INFO: Eval PSNR (max): 38.058 (6520) SSIM (max): 0.9611 (5335) +[2024-05-25 00:25:27,377] - INFO: Eval PSNR (current): 38.043 (6575) SSIM (current): 0.9609 (6575) +[2024-05-25 00:25:27,377] - INFO: Evaluation over. +[2024-05-25 00:25:46,182] - INFO: Epoch 6576/9999, Iter 328760: Loss = 0.016233287751674652, lr = [5e-05] +[2024-05-25 00:26:13,840] - INFO: Epoch 6576/9999, Iter 328780: Loss = 0.012924126349389553, lr = [5e-05] +[2024-05-25 00:26:43,020] - INFO: Epoch 6577/9999, Iter 328800: Loss = 0.009656835347414017, lr = [5e-05] +[2024-05-25 00:27:10,235] - INFO: Epoch 6577/9999, Iter 328820: Loss = 0.008833671920001507, lr = [5e-05] +[2024-05-25 00:27:37,085] - INFO: Epoch 6577/9999, Iter 328840: Loss = 0.014112741686403751, lr = [5e-05] +[2024-05-25 00:28:05,558] - INFO: Epoch 6578/9999, Iter 328860: Loss = 0.013407010585069656, lr = [5e-05] +[2024-05-25 00:28:32,878] - INFO: Epoch 6578/9999, Iter 328880: Loss = 0.0149929104372859, lr = [5e-05] +[2024-05-25 00:29:02,515] - INFO: Epoch 6579/9999, Iter 328900: Loss = 0.012789792381227016, lr = [5e-05] +[2024-05-25 00:29:30,747] - INFO: Epoch 6579/9999, Iter 328920: Loss = 0.019049905240535736, lr = [5e-05] +[2024-05-25 00:29:58,547] - INFO: Epoch 6579/9999, Iter 328940: Loss = 0.016188375651836395, lr = [5e-05] +[2024-05-25 00:30:26,871] - INFO: Epoch 6580/9999, Iter 328960: Loss = 0.01732471026480198, lr = [5e-05] +[2024-05-25 00:30:53,565] - INFO: Epoch 6580/9999, Iter 328980: Loss = 0.012570179998874664, lr = [5e-05] +[2024-05-25 00:31:19,761] - INFO: Evaluate at epoch 6580! +[2024-05-25 00:31:23,797] - INFO: Eval PSNR (max): 38.058 (6520) SSIM (max): 0.9611 (5335) +[2024-05-25 00:31:23,798] - INFO: Eval PSNR (current): 38.051 (6580) SSIM (current): 0.9610 (6580) +[2024-05-25 00:31:23,798] - INFO: Evaluation over. +[2024-05-25 00:31:28,126] - INFO: Epoch 6581/9999, Iter 329000: Loss = 0.008533455431461334, lr = [5e-05] +[2024-05-25 00:31:55,471] - INFO: Epoch 6581/9999, Iter 329020: Loss = 0.01852039247751236, lr = [5e-05] +[2024-05-25 00:32:23,675] - INFO: Epoch 6581/9999, Iter 329040: Loss = 0.009872563183307648, lr = [5e-05] +[2024-05-25 00:32:52,010] - INFO: Epoch 6582/9999, Iter 329060: Loss = 0.012311040423810482, lr = [5e-05] +[2024-05-25 00:33:20,515] - INFO: Epoch 6582/9999, Iter 329080: Loss = 0.012140976265072823, lr = [5e-05] +[2024-05-25 00:33:48,511] - INFO: Epoch 6583/9999, Iter 329100: Loss = 0.01089415978640318, lr = [5e-05] +[2024-05-25 00:34:17,084] - INFO: Epoch 6583/9999, Iter 329120: Loss = 0.010410258546471596, lr = [5e-05] +[2024-05-25 00:34:44,680] - INFO: Epoch 6583/9999, Iter 329140: Loss = 0.016099032014608383, lr = [5e-05] +[2024-05-25 00:35:13,593] - INFO: Epoch 6584/9999, Iter 329160: Loss = 0.017659137025475502, lr = [5e-05] +[2024-05-25 00:35:41,162] - INFO: Epoch 6584/9999, Iter 329180: Loss = 0.016979921609163284, lr = [5e-05] +[2024-05-25 00:36:10,292] - INFO: Epoch 6585/9999, Iter 329200: Loss = 0.009579486213624477, lr = [5e-05] +[2024-05-25 00:36:38,576] - INFO: Epoch 6585/9999, Iter 329220: Loss = 0.01355678029358387, lr = [5e-05] +[2024-05-25 00:37:06,967] - INFO: Epoch 6585/9999, Iter 329240: Loss = 0.012485913001000881, lr = [5e-05] +[2024-05-25 00:37:18,336] - INFO: Evaluate at epoch 6585! +[2024-05-25 00:37:22,372] - INFO: Eval PSNR (max): 38.058 (6520) SSIM (max): 0.9611 (5335) +[2024-05-25 00:37:22,372] - INFO: Eval PSNR (current): 38.036 (6585) SSIM (current): 0.9609 (6585) +[2024-05-25 00:37:22,372] - INFO: Evaluation over. +[2024-05-25 00:37:40,813] - INFO: Epoch 6586/9999, Iter 329260: Loss = 0.010154693387448788, lr = [5e-05] +[2024-05-25 00:38:08,941] - INFO: Epoch 6586/9999, Iter 329280: Loss = 0.013700035400688648, lr = [5e-05] +[2024-05-25 00:38:37,160] - INFO: Epoch 6587/9999, Iter 329300: Loss = 0.009634144604206085, lr = [5e-05] +[2024-05-25 00:39:04,153] - INFO: Epoch 6587/9999, Iter 329320: Loss = 0.011242291890084743, lr = [5e-05] +[2024-05-25 00:39:31,087] - INFO: Epoch 6587/9999, Iter 329340: Loss = 0.01555519737303257, lr = [5e-05] +[2024-05-25 00:40:00,540] - INFO: Epoch 6588/9999, Iter 329360: Loss = 0.0074904682114720345, lr = [5e-05] +[2024-05-25 00:40:28,059] - INFO: Epoch 6588/9999, Iter 329380: Loss = 0.011300011537969112, lr = [5e-05] +[2024-05-25 00:40:56,683] - INFO: Epoch 6589/9999, Iter 329400: Loss = 0.009891550056636333, lr = [5e-05] +[2024-05-25 00:41:23,487] - INFO: Epoch 6589/9999, Iter 329420: Loss = 0.010286664590239525, lr = [5e-05] +[2024-05-25 00:41:52,031] - INFO: Epoch 6589/9999, Iter 329440: Loss = 0.013159874826669693, lr = [5e-05] +[2024-05-25 00:42:20,660] - INFO: Epoch 6590/9999, Iter 329460: Loss = 0.013289556838572025, lr = [5e-05] +[2024-05-25 00:42:48,548] - INFO: Epoch 6590/9999, Iter 329480: Loss = 0.011445778422057629, lr = [5e-05] +[2024-05-25 00:43:14,902] - INFO: Evaluate at epoch 6590! +[2024-05-25 00:43:18,930] - INFO: Eval PSNR (max): 38.058 (6520) SSIM (max): 0.9611 (5335) +[2024-05-25 00:43:18,930] - INFO: Eval PSNR (current): 38.020 (6590) SSIM (current): 0.9610 (6590) +[2024-05-25 00:43:18,930] - INFO: Evaluation over. +[2024-05-25 00:43:23,019] - INFO: Epoch 6591/9999, Iter 329500: Loss = 0.015576074831187725, lr = [5e-05] +[2024-05-25 00:43:50,273] - INFO: Epoch 6591/9999, Iter 329520: Loss = 0.013959175907075405, lr = [5e-05] +[2024-05-25 00:44:17,116] - INFO: Epoch 6591/9999, Iter 329540: Loss = 0.0108932014554739, lr = [5e-05] +[2024-05-25 00:44:46,971] - INFO: Epoch 6592/9999, Iter 329560: Loss = 0.017484266310930252, lr = [5e-05] +[2024-05-25 00:45:15,210] - INFO: Epoch 6592/9999, Iter 329580: Loss = 0.009287722408771515, lr = [5e-05] +[2024-05-25 00:45:43,654] - INFO: Epoch 6593/9999, Iter 329600: Loss = 0.010472642257809639, lr = [5e-05] +[2024-05-25 00:46:12,494] - INFO: Epoch 6593/9999, Iter 329620: Loss = 0.013925544917583466, lr = [5e-05] +[2024-05-25 00:46:39,511] - INFO: Epoch 6593/9999, Iter 329640: Loss = 0.009743387810885906, lr = [5e-05] +[2024-05-25 00:47:08,547] - INFO: Epoch 6594/9999, Iter 329660: Loss = 0.01857331022620201, lr = [5e-05] +[2024-05-25 00:47:36,422] - INFO: Epoch 6594/9999, Iter 329680: Loss = 0.013931319117546082, lr = [5e-05] +[2024-05-25 00:48:04,619] - INFO: Epoch 6595/9999, Iter 329700: Loss = 0.012529926374554634, lr = [5e-05] +[2024-05-25 00:48:31,949] - INFO: Epoch 6595/9999, Iter 329720: Loss = 0.014155454002320766, lr = [5e-05] +[2024-05-25 00:48:59,319] - INFO: Epoch 6595/9999, Iter 329740: Loss = 0.012889955192804337, lr = [5e-05] +[2024-05-25 00:49:11,530] - INFO: Evaluate at epoch 6595! +[2024-05-25 00:49:15,557] - INFO: Eval PSNR (max): 38.058 (6520) SSIM (max): 0.9611 (5335) +[2024-05-25 00:49:15,558] - INFO: Eval PSNR (current): 38.013 (6595) SSIM (current): 0.9609 (6595) +[2024-05-25 00:49:15,558] - INFO: Evaluation over. +[2024-05-25 00:49:34,259] - INFO: Epoch 6596/9999, Iter 329760: Loss = 0.013151752762496471, lr = [5e-05] +[2024-05-25 00:50:02,075] - INFO: Epoch 6596/9999, Iter 329780: Loss = 0.009825457818806171, lr = [5e-05] +[2024-05-25 00:50:31,106] - INFO: Epoch 6597/9999, Iter 329800: Loss = 0.009566573426127434, lr = [5e-05] +[2024-05-25 00:50:58,331] - INFO: Epoch 6597/9999, Iter 329820: Loss = 0.012702368199825287, lr = [5e-05] +[2024-05-25 00:51:24,809] - INFO: Epoch 6597/9999, Iter 329840: Loss = 0.011285608634352684, lr = [5e-05] +[2024-05-25 00:51:54,423] - INFO: Epoch 6598/9999, Iter 329860: Loss = 0.00969482772052288, lr = [5e-05] +[2024-05-25 00:52:22,312] - INFO: Epoch 6598/9999, Iter 329880: Loss = 0.013471360318362713, lr = [5e-05] +[2024-05-25 00:52:51,287] - INFO: Epoch 6599/9999, Iter 329900: Loss = 0.011583756655454636, lr = [5e-05] +[2024-05-25 00:53:19,675] - INFO: Epoch 6599/9999, Iter 329920: Loss = 0.01261221244931221, lr = [5e-05] +[2024-05-25 00:53:47,917] - INFO: Epoch 6599/9999, Iter 329940: Loss = 0.0124660674482584, lr = [5e-05] +[2024-05-25 00:54:16,424] - INFO: Epoch 6600/9999, Iter 329960: Loss = 0.01409940142184496, lr = [5e-05] +[2024-05-25 00:54:45,320] - INFO: Epoch 6600/9999, Iter 329980: Loss = 0.015954455360770226, lr = [5e-05] +[2024-05-25 00:55:10,752] - INFO: Evaluate at epoch 6600! +[2024-05-25 00:55:16,580] - INFO: Eval PSNR (max): 38.060 (6600) SSIM (max): 0.9611 (5335) +[2024-05-25 00:55:16,581] - INFO: Eval PSNR (current): 38.060 (6600) SSIM (current): 0.9610 (6600) +[2024-05-25 00:55:16,581] - INFO: Evaluation over. +[2024-05-25 00:55:20,820] - INFO: Epoch 6601/9999, Iter 330000: Loss = 0.013243352994322777, lr = [5e-05] +[2024-05-25 00:55:48,428] - INFO: Epoch 6601/9999, Iter 330020: Loss = 0.013859874568879604, lr = [5e-05] +[2024-05-25 00:56:16,886] - INFO: Epoch 6601/9999, Iter 330040: Loss = 0.017139378935098648, lr = [5e-05] +[2024-05-25 00:56:46,387] - INFO: Epoch 6602/9999, Iter 330060: Loss = 0.013638966716825962, lr = [5e-05] +[2024-05-25 00:57:13,499] - INFO: Epoch 6602/9999, Iter 330080: Loss = 0.013637249357998371, lr = [5e-05] +[2024-05-25 00:57:43,206] - INFO: Epoch 6603/9999, Iter 330100: Loss = 0.018116146326065063, lr = [5e-05] +[2024-05-25 00:58:11,519] - INFO: Epoch 6603/9999, Iter 330120: Loss = 0.012979409657418728, lr = [5e-05] +[2024-05-25 00:58:38,259] - INFO: Epoch 6603/9999, Iter 330140: Loss = 0.016813039779663086, lr = [5e-05] +[2024-05-25 00:59:06,668] - INFO: Epoch 6604/9999, Iter 330160: Loss = 0.011386478319764137, lr = [5e-05] +[2024-05-25 00:59:33,735] - INFO: Epoch 6604/9999, Iter 330180: Loss = 0.012118338607251644, lr = [5e-05] +[2024-05-25 01:00:01,931] - INFO: Epoch 6605/9999, Iter 330200: Loss = 0.008510840125381947, lr = [5e-05] +[2024-05-25 01:00:29,889] - INFO: Epoch 6605/9999, Iter 330220: Loss = 0.015820583328604698, lr = [5e-05] +[2024-05-25 01:00:57,759] - INFO: Epoch 6605/9999, Iter 330240: Loss = 0.012139049358665943, lr = [5e-05] +[2024-05-25 01:01:09,757] - INFO: Evaluate at epoch 6605! +[2024-05-25 01:01:13,782] - INFO: Eval PSNR (max): 38.060 (6600) SSIM (max): 0.9611 (5335) +[2024-05-25 01:01:13,782] - INFO: Eval PSNR (current): 38.038 (6605) SSIM (current): 0.9610 (6605) +[2024-05-25 01:01:13,783] - INFO: Evaluation over. +[2024-05-25 01:01:31,617] - INFO: Epoch 6606/9999, Iter 330260: Loss = 0.01237473450601101, lr = [5e-05] +[2024-05-25 01:01:58,034] - INFO: Epoch 6606/9999, Iter 330280: Loss = 0.015232674777507782, lr = [5e-05] +[2024-05-25 01:02:27,770] - INFO: Epoch 6607/9999, Iter 330300: Loss = 0.015698520466685295, lr = [5e-05] +[2024-05-25 01:02:55,958] - INFO: Epoch 6607/9999, Iter 330320: Loss = 0.01114483829587698, lr = [5e-05] +[2024-05-25 01:03:23,626] - INFO: Epoch 6607/9999, Iter 330340: Loss = 0.017097534611821175, lr = [5e-05] +[2024-05-25 01:03:52,899] - INFO: Epoch 6608/9999, Iter 330360: Loss = 0.01290914136916399, lr = [5e-05] +[2024-05-25 01:04:19,931] - INFO: Epoch 6608/9999, Iter 330380: Loss = 0.009580910205841064, lr = [5e-05] +[2024-05-25 01:04:49,606] - INFO: Epoch 6609/9999, Iter 330400: Loss = 0.007906214334070683, lr = [5e-05] +[2024-05-25 01:05:17,630] - INFO: Epoch 6609/9999, Iter 330420: Loss = 0.013103105127811432, lr = [5e-05] +[2024-05-25 01:05:45,532] - INFO: Epoch 6609/9999, Iter 330440: Loss = 0.018963763490319252, lr = [5e-05] +[2024-05-25 01:06:14,330] - INFO: Epoch 6610/9999, Iter 330460: Loss = 0.010519974865019321, lr = [5e-05] +[2024-05-25 01:06:42,300] - INFO: Epoch 6610/9999, Iter 330480: Loss = 0.017526177689433098, lr = [5e-05] +[2024-05-25 01:07:08,325] - INFO: Evaluate at epoch 6610! +[2024-05-25 01:07:12,355] - INFO: Eval PSNR (max): 38.060 (6600) SSIM (max): 0.9611 (5335) +[2024-05-25 01:07:12,356] - INFO: Eval PSNR (current): 38.032 (6610) SSIM (current): 0.9610 (6610) +[2024-05-25 01:07:12,356] - INFO: Evaluation over. +[2024-05-25 01:07:16,739] - INFO: Epoch 6611/9999, Iter 330500: Loss = 0.016892679035663605, lr = [5e-05] +[2024-05-25 01:07:44,531] - INFO: Epoch 6611/9999, Iter 330520: Loss = 0.016560042276978493, lr = [5e-05] +[2024-05-25 01:08:11,760] - INFO: Epoch 6611/9999, Iter 330540: Loss = 0.009146058931946754, lr = [5e-05] +[2024-05-25 01:08:40,856] - INFO: Epoch 6612/9999, Iter 330560: Loss = 0.01095916610211134, lr = [5e-05] +[2024-05-25 01:09:07,795] - INFO: Epoch 6612/9999, Iter 330580: Loss = 0.009097051806747913, lr = [5e-05] +[2024-05-25 01:09:36,531] - INFO: Epoch 6613/9999, Iter 330600: Loss = 0.01412146631628275, lr = [5e-05] +[2024-05-25 01:10:03,500] - INFO: Epoch 6613/9999, Iter 330620: Loss = 0.011094791814684868, lr = [5e-05] +[2024-05-25 01:10:31,766] - INFO: Epoch 6613/9999, Iter 330640: Loss = 0.01241398323327303, lr = [5e-05] +[2024-05-25 01:11:01,766] - INFO: Epoch 6614/9999, Iter 330660: Loss = 0.012863735668361187, lr = [5e-05] +[2024-05-25 01:11:30,569] - INFO: Epoch 6614/9999, Iter 330680: Loss = 0.013958392664790154, lr = [5e-05] +[2024-05-25 01:11:59,367] - INFO: Epoch 6615/9999, Iter 330700: Loss = 0.014008277095854282, lr = [5e-05] +[2024-05-25 01:12:27,304] - INFO: Epoch 6615/9999, Iter 330720: Loss = 0.013190127909183502, lr = [5e-05] +[2024-05-25 01:12:55,465] - INFO: Epoch 6615/9999, Iter 330740: Loss = 0.01021849550306797, lr = [5e-05] +[2024-05-25 01:13:07,761] - INFO: Evaluate at epoch 6615! +[2024-05-25 01:13:11,792] - INFO: Eval PSNR (max): 38.060 (6600) SSIM (max): 0.9611 (5335) +[2024-05-25 01:13:11,793] - INFO: Eval PSNR (current): 38.015 (6615) SSIM (current): 0.9610 (6615) +[2024-05-25 01:13:11,793] - INFO: Evaluation over. +[2024-05-25 01:13:30,047] - INFO: Epoch 6616/9999, Iter 330760: Loss = 0.013617889024317265, lr = [5e-05] +[2024-05-25 01:13:57,318] - INFO: Epoch 6616/9999, Iter 330780: Loss = 0.015416387468576431, lr = [5e-05] +[2024-05-25 01:14:26,794] - INFO: Epoch 6617/9999, Iter 330800: Loss = 0.013594502583146095, lr = [5e-05] +[2024-05-25 01:14:54,849] - INFO: Epoch 6617/9999, Iter 330820: Loss = 0.006357172038406134, lr = [5e-05] +[2024-05-25 01:15:22,337] - INFO: Epoch 6617/9999, Iter 330840: Loss = 0.008586990647017956, lr = [5e-05] +[2024-05-25 01:15:51,596] - INFO: Epoch 6618/9999, Iter 330860: Loss = 0.01397037599235773, lr = [5e-05] +[2024-05-25 01:16:20,477] - INFO: Epoch 6618/9999, Iter 330880: Loss = 0.01391181442886591, lr = [5e-05] +[2024-05-25 01:16:49,339] - INFO: Epoch 6619/9999, Iter 330900: Loss = 0.010345054790377617, lr = [5e-05] +[2024-05-25 01:17:17,595] - INFO: Epoch 6619/9999, Iter 330920: Loss = 0.01124664954841137, lr = [5e-05] +[2024-05-25 01:17:45,203] - INFO: Epoch 6619/9999, Iter 330940: Loss = 0.011010969989001751, lr = [5e-05] +[2024-05-25 01:18:14,878] - INFO: Epoch 6620/9999, Iter 330960: Loss = 0.01455777045339346, lr = [5e-05] +[2024-05-25 01:18:41,919] - INFO: Epoch 6620/9999, Iter 330980: Loss = 0.010961099527776241, lr = [5e-05] +[2024-05-25 01:19:08,396] - INFO: Evaluate at epoch 6620! +[2024-05-25 01:19:12,428] - INFO: Eval PSNR (max): 38.060 (6600) SSIM (max): 0.9611 (5335) +[2024-05-25 01:19:12,428] - INFO: Eval PSNR (current): 38.031 (6620) SSIM (current): 0.9609 (6620) +[2024-05-25 01:19:12,428] - INFO: Evaluation over. +[2024-05-25 01:19:16,953] - INFO: Epoch 6621/9999, Iter 331000: Loss = 0.016454016789793968, lr = [5e-05] +[2024-05-25 01:19:43,571] - INFO: Epoch 6621/9999, Iter 331020: Loss = 0.010330207645893097, lr = [5e-05] +[2024-05-25 01:20:12,032] - INFO: Epoch 6621/9999, Iter 331040: Loss = 0.016048593446612358, lr = [5e-05] +[2024-05-25 01:20:40,930] - INFO: Epoch 6622/9999, Iter 331060: Loss = 0.011425820179283619, lr = [5e-05] +[2024-05-25 01:21:07,476] - INFO: Epoch 6622/9999, Iter 331080: Loss = 0.012836787849664688, lr = [5e-05] +[2024-05-25 01:21:36,695] - INFO: Epoch 6623/9999, Iter 331100: Loss = 0.00889373105019331, lr = [5e-05] +[2024-05-25 01:22:03,759] - INFO: Epoch 6623/9999, Iter 331120: Loss = 0.016363075003027916, lr = [5e-05] +[2024-05-25 01:22:30,772] - INFO: Epoch 6623/9999, Iter 331140: Loss = 0.018337760120630264, lr = [5e-05] +[2024-05-25 01:22:59,603] - INFO: Epoch 6624/9999, Iter 331160: Loss = 0.01848488673567772, lr = [5e-05] +[2024-05-25 01:23:28,391] - INFO: Epoch 6624/9999, Iter 331180: Loss = 0.014195493422448635, lr = [5e-05] +[2024-05-25 01:23:57,627] - INFO: Epoch 6625/9999, Iter 331200: Loss = 0.015750452876091003, lr = [5e-05] +[2024-05-25 01:24:25,212] - INFO: Epoch 6625/9999, Iter 331220: Loss = 0.007298556622117758, lr = [5e-05] +[2024-05-25 01:24:53,075] - INFO: Epoch 6625/9999, Iter 331240: Loss = 0.011676033027470112, lr = [5e-05] +[2024-05-25 01:25:05,561] - INFO: Evaluate at epoch 6625! +[2024-05-25 01:25:09,737] - INFO: Eval PSNR (max): 38.060 (6600) SSIM (max): 0.9611 (5335) +[2024-05-25 01:25:09,737] - INFO: Eval PSNR (current): 38.034 (6625) SSIM (current): 0.9609 (6625) +[2024-05-25 01:25:09,737] - INFO: Evaluation over. +[2024-05-25 01:25:28,568] - INFO: Epoch 6626/9999, Iter 331260: Loss = 0.016069427132606506, lr = [5e-05] +[2024-05-25 01:25:55,745] - INFO: Epoch 6626/9999, Iter 331280: Loss = 0.013881352730095387, lr = [5e-05] +[2024-05-25 01:26:24,167] - INFO: Epoch 6627/9999, Iter 331300: Loss = 0.010814791545271873, lr = [5e-05] +[2024-05-25 01:26:51,491] - INFO: Epoch 6627/9999, Iter 331320: Loss = 0.016026662662625313, lr = [5e-05] +[2024-05-25 01:27:18,283] - INFO: Epoch 6627/9999, Iter 331340: Loss = 0.01342662051320076, lr = [5e-05] +[2024-05-25 01:27:48,046] - INFO: Epoch 6628/9999, Iter 331360: Loss = 0.012257862836122513, lr = [5e-05] +[2024-05-25 01:28:15,627] - INFO: Epoch 6628/9999, Iter 331380: Loss = 0.00888652354478836, lr = [5e-05] +[2024-05-25 01:28:44,667] - INFO: Epoch 6629/9999, Iter 331400: Loss = 0.013627897948026657, lr = [5e-05] +[2024-05-25 01:29:11,726] - INFO: Epoch 6629/9999, Iter 331420: Loss = 0.013470535166561604, lr = [5e-05] +[2024-05-25 01:29:38,620] - INFO: Epoch 6629/9999, Iter 331440: Loss = 0.009389402344822884, lr = [5e-05] +[2024-05-25 01:30:07,196] - INFO: Epoch 6630/9999, Iter 331460: Loss = 0.016300713643431664, lr = [5e-05] +[2024-05-25 01:30:34,806] - INFO: Epoch 6630/9999, Iter 331480: Loss = 0.01349242776632309, lr = [5e-05] +[2024-05-25 01:31:00,549] - INFO: Evaluate at epoch 6630! +[2024-05-25 01:31:04,619] - INFO: Eval PSNR (max): 38.060 (6600) SSIM (max): 0.9611 (5335) +[2024-05-25 01:31:04,619] - INFO: Eval PSNR (current): 37.993 (6630) SSIM (current): 0.9610 (6630) +[2024-05-25 01:31:04,619] - INFO: Evaluation over. +[2024-05-25 01:31:09,177] - INFO: Epoch 6631/9999, Iter 331500: Loss = 0.012798145413398743, lr = [5e-05] +[2024-05-25 01:31:37,302] - INFO: Epoch 6631/9999, Iter 331520: Loss = 0.011508691124618053, lr = [5e-05] +[2024-05-25 01:32:04,694] - INFO: Epoch 6631/9999, Iter 331540: Loss = 0.019821524620056152, lr = [5e-05] +[2024-05-25 01:32:32,591] - INFO: Epoch 6632/9999, Iter 331560: Loss = 0.014359082095324993, lr = [5e-05] +[2024-05-25 01:33:00,612] - INFO: Epoch 6632/9999, Iter 331580: Loss = 0.017445240169763565, lr = [5e-05] +[2024-05-25 01:33:29,954] - INFO: Epoch 6633/9999, Iter 331600: Loss = 0.011800453066825867, lr = [5e-05] +[2024-05-25 01:33:58,652] - INFO: Epoch 6633/9999, Iter 331620: Loss = 0.011567736975848675, lr = [5e-05] +[2024-05-25 01:34:26,276] - INFO: Epoch 6633/9999, Iter 331640: Loss = 0.016404081135988235, lr = [5e-05] +[2024-05-25 01:34:55,062] - INFO: Epoch 6634/9999, Iter 331660: Loss = 0.01359203364700079, lr = [5e-05] +[2024-05-25 01:35:22,491] - INFO: Epoch 6634/9999, Iter 331680: Loss = 0.012805864214897156, lr = [5e-05] +[2024-05-25 01:35:51,077] - INFO: Epoch 6635/9999, Iter 331700: Loss = 0.012011799961328506, lr = [5e-05] +[2024-05-25 01:36:18,580] - INFO: Epoch 6635/9999, Iter 331720: Loss = 0.016795458272099495, lr = [5e-05] +[2024-05-25 01:36:45,191] - INFO: Epoch 6635/9999, Iter 331740: Loss = 0.007955782115459442, lr = [5e-05] +[2024-05-25 01:36:57,542] - INFO: Evaluate at epoch 6635! +[2024-05-25 01:37:01,574] - INFO: Eval PSNR (max): 38.060 (6600) SSIM (max): 0.9611 (5335) +[2024-05-25 01:37:01,574] - INFO: Eval PSNR (current): 38.051 (6635) SSIM (current): 0.9610 (6635) +[2024-05-25 01:37:01,575] - INFO: Evaluation over. +[2024-05-25 01:37:19,191] - INFO: Epoch 6636/9999, Iter 331760: Loss = 0.009882229380309582, lr = [5e-05] +[2024-05-25 01:37:47,261] - INFO: Epoch 6636/9999, Iter 331780: Loss = 0.014540517702698708, lr = [5e-05] +[2024-05-25 01:38:16,000] - INFO: Epoch 6637/9999, Iter 331800: Loss = 0.010003558360040188, lr = [5e-05] +[2024-05-25 01:38:43,140] - INFO: Epoch 6637/9999, Iter 331820: Loss = 0.016200147569179535, lr = [5e-05] +[2024-05-25 01:39:10,970] - INFO: Epoch 6637/9999, Iter 331840: Loss = 0.008860159665346146, lr = [5e-05] +[2024-05-25 01:39:39,509] - INFO: Epoch 6638/9999, Iter 331860: Loss = 0.012201470322906971, lr = [5e-05] +[2024-05-25 01:40:06,931] - INFO: Epoch 6638/9999, Iter 331880: Loss = 0.0094417380169034, lr = [5e-05] +[2024-05-25 01:40:36,335] - INFO: Epoch 6639/9999, Iter 331900: Loss = 0.00835266150534153, lr = [5e-05] +[2024-05-25 01:41:04,882] - INFO: Epoch 6639/9999, Iter 331920: Loss = 0.011614673770964146, lr = [5e-05] +[2024-05-25 01:41:32,955] - INFO: Epoch 6639/9999, Iter 331940: Loss = 0.013057278469204903, lr = [5e-05] +[2024-05-25 01:42:01,533] - INFO: Epoch 6640/9999, Iter 331960: Loss = 0.008952988311648369, lr = [5e-05] +[2024-05-25 01:42:29,383] - INFO: Epoch 6640/9999, Iter 331980: Loss = 0.011154187843203545, lr = [5e-05] +[2024-05-25 01:42:55,547] - INFO: Evaluate at epoch 6640! +[2024-05-25 01:42:59,578] - INFO: Eval PSNR (max): 38.060 (6600) SSIM (max): 0.9611 (5335) +[2024-05-25 01:42:59,579] - INFO: Eval PSNR (current): 38.026 (6640) SSIM (current): 0.9609 (6640) +[2024-05-25 01:42:59,579] - INFO: Evaluation over. +[2024-05-25 01:43:03,981] - INFO: Epoch 6641/9999, Iter 332000: Loss = 0.01769929751753807, lr = [5e-05] +[2024-05-25 01:43:30,895] - INFO: Epoch 6641/9999, Iter 332020: Loss = 0.01400275994092226, lr = [5e-05] +[2024-05-25 01:43:57,739] - INFO: Epoch 6641/9999, Iter 332040: Loss = 0.016213299706578255, lr = [5e-05] +[2024-05-25 01:44:27,307] - INFO: Epoch 6642/9999, Iter 332060: Loss = 0.013836114667356014, lr = [5e-05] +[2024-05-25 01:44:54,655] - INFO: Epoch 6642/9999, Iter 332080: Loss = 0.015452487394213676, lr = [5e-05] +[2024-05-25 01:45:23,675] - INFO: Epoch 6643/9999, Iter 332100: Loss = 0.019559500738978386, lr = [5e-05] +[2024-05-25 01:45:51,016] - INFO: Epoch 6643/9999, Iter 332120: Loss = 0.008545022457838058, lr = [5e-05] +[2024-05-25 01:46:19,120] - INFO: Epoch 6643/9999, Iter 332140: Loss = 0.012154276482760906, lr = [5e-05] +[2024-05-25 01:46:47,599] - INFO: Epoch 6644/9999, Iter 332160: Loss = 0.008564531803131104, lr = [5e-05] +[2024-05-25 01:47:14,600] - INFO: Epoch 6644/9999, Iter 332180: Loss = 0.01628277078270912, lr = [5e-05] +[2024-05-25 01:47:43,423] - INFO: Epoch 6645/9999, Iter 332200: Loss = 0.012952570803463459, lr = [5e-05] +[2024-05-25 01:48:10,371] - INFO: Epoch 6645/9999, Iter 332220: Loss = 0.010615257546305656, lr = [5e-05] +[2024-05-25 01:48:37,428] - INFO: Epoch 6645/9999, Iter 332240: Loss = 0.017451805993914604, lr = [5e-05] +[2024-05-25 01:48:49,868] - INFO: Evaluate at epoch 6645! +[2024-05-25 01:48:54,069] - INFO: Eval PSNR (max): 38.060 (6600) SSIM (max): 0.9611 (5335) +[2024-05-25 01:48:54,070] - INFO: Eval PSNR (current): 38.045 (6645) SSIM (current): 0.9609 (6645) +[2024-05-25 01:48:54,070] - INFO: Evaluation over. +[2024-05-25 01:49:11,816] - INFO: Epoch 6646/9999, Iter 332260: Loss = 0.012217413634061813, lr = [5e-05] +[2024-05-25 01:49:38,767] - INFO: Epoch 6646/9999, Iter 332280: Loss = 0.01113839726895094, lr = [5e-05] +[2024-05-25 01:50:07,304] - INFO: Epoch 6647/9999, Iter 332300: Loss = 0.009737564250826836, lr = [5e-05] +[2024-05-25 01:50:34,210] - INFO: Epoch 6647/9999, Iter 332320: Loss = 0.009584135375916958, lr = [5e-05] +[2024-05-25 01:51:02,020] - INFO: Epoch 6647/9999, Iter 332340: Loss = 0.010456413961946964, lr = [5e-05] +[2024-05-25 01:51:30,860] - INFO: Epoch 6648/9999, Iter 332360: Loss = 0.010976891964673996, lr = [5e-05] +[2024-05-25 01:51:59,013] - INFO: Epoch 6648/9999, Iter 332380: Loss = 0.011907692067325115, lr = [5e-05] +[2024-05-25 01:52:27,887] - INFO: Epoch 6649/9999, Iter 332400: Loss = 0.01379657443612814, lr = [5e-05] +[2024-05-25 01:52:56,278] - INFO: Epoch 6649/9999, Iter 332420: Loss = 0.012998067773878574, lr = [5e-05] +[2024-05-25 01:53:24,094] - INFO: Epoch 6649/9999, Iter 332440: Loss = 0.015837350860238075, lr = [5e-05] +[2024-05-25 01:53:53,398] - INFO: Epoch 6650/9999, Iter 332460: Loss = 0.013227761723101139, lr = [5e-05] +[2024-05-25 01:54:21,046] - INFO: Epoch 6650/9999, Iter 332480: Loss = 0.01949155144393444, lr = [5e-05] +[2024-05-25 01:54:47,089] - INFO: Evaluate at epoch 6650! +[2024-05-25 01:54:51,102] - INFO: Eval PSNR (max): 38.060 (6600) SSIM (max): 0.9611 (5335) +[2024-05-25 01:54:51,103] - INFO: Eval PSNR (current): 38.011 (6650) SSIM (current): 0.9609 (6650) +[2024-05-25 01:54:51,103] - INFO: Evaluation over. +[2024-05-25 01:54:55,360] - INFO: Epoch 6651/9999, Iter 332500: Loss = 0.010092775337398052, lr = [5e-05] +[2024-05-25 01:55:22,500] - INFO: Epoch 6651/9999, Iter 332520: Loss = 0.020386531949043274, lr = [5e-05] +[2024-05-25 01:55:50,958] - INFO: Epoch 6651/9999, Iter 332540: Loss = 0.01409427635371685, lr = [5e-05] +[2024-05-25 01:56:19,563] - INFO: Epoch 6652/9999, Iter 332560: Loss = 0.0239392276853323, lr = [5e-05] +[2024-05-25 01:56:47,732] - INFO: Epoch 6652/9999, Iter 332580: Loss = 0.011046241037547588, lr = [5e-05] +[2024-05-25 01:57:17,277] - INFO: Epoch 6653/9999, Iter 332600: Loss = 0.014691890217363834, lr = [5e-05] +[2024-05-25 01:57:45,436] - INFO: Epoch 6653/9999, Iter 332620: Loss = 0.011980683542788029, lr = [5e-05] +[2024-05-25 01:58:11,990] - INFO: Epoch 6653/9999, Iter 332640: Loss = 0.013125188648700714, lr = [5e-05] +[2024-05-25 01:58:40,829] - INFO: Epoch 6654/9999, Iter 332660: Loss = 0.011131132021546364, lr = [5e-05] +[2024-05-25 01:59:07,795] - INFO: Epoch 6654/9999, Iter 332680: Loss = 0.013403530232608318, lr = [5e-05] +[2024-05-25 01:59:35,960] - INFO: Epoch 6655/9999, Iter 332700: Loss = 0.012194064445793629, lr = [5e-05] +[2024-05-25 02:00:02,531] - INFO: Epoch 6655/9999, Iter 332720: Loss = 0.018436964601278305, lr = [5e-05] +[2024-05-25 02:00:29,871] - INFO: Epoch 6655/9999, Iter 332740: Loss = 0.012585356831550598, lr = [5e-05] +[2024-05-25 02:00:42,708] - INFO: Evaluate at epoch 6655! +[2024-05-25 02:00:46,725] - INFO: Eval PSNR (max): 38.060 (6600) SSIM (max): 0.9611 (5335) +[2024-05-25 02:00:46,725] - INFO: Eval PSNR (current): 38.052 (6655) SSIM (current): 0.9609 (6655) +[2024-05-25 02:00:46,725] - INFO: Evaluation over. +[2024-05-25 02:01:05,075] - INFO: Epoch 6656/9999, Iter 332760: Loss = 0.012904562056064606, lr = [5e-05] +[2024-05-25 02:01:33,011] - INFO: Epoch 6656/9999, Iter 332780: Loss = 0.01010703481733799, lr = [5e-05] +[2024-05-25 02:02:02,103] - INFO: Epoch 6657/9999, Iter 332800: Loss = 0.010411365889012814, lr = [5e-05] +[2024-05-25 02:02:29,411] - INFO: Epoch 6657/9999, Iter 332820: Loss = 0.008015643805265427, lr = [5e-05] +[2024-05-25 02:02:56,835] - INFO: Epoch 6657/9999, Iter 332840: Loss = 0.012406627647578716, lr = [5e-05] +[2024-05-25 02:03:25,433] - INFO: Epoch 6658/9999, Iter 332860: Loss = 0.015887979418039322, lr = [5e-05] +[2024-05-25 02:03:54,019] - INFO: Epoch 6658/9999, Iter 332880: Loss = 0.010104501619935036, lr = [5e-05] +[2024-05-25 02:04:23,379] - INFO: Epoch 6659/9999, Iter 332900: Loss = 0.015252889133989811, lr = [5e-05] +[2024-05-25 02:04:51,260] - INFO: Epoch 6659/9999, Iter 332920: Loss = 0.010226518847048283, lr = [5e-05] +[2024-05-25 02:05:18,755] - INFO: Epoch 6659/9999, Iter 332940: Loss = 0.009703041985630989, lr = [5e-05] +[2024-05-25 02:05:48,708] - INFO: Epoch 6660/9999, Iter 332960: Loss = 0.012063609436154366, lr = [5e-05] +[2024-05-25 02:06:16,739] - INFO: Epoch 6660/9999, Iter 332980: Loss = 0.011561347171664238, lr = [5e-05] +[2024-05-25 02:06:42,638] - INFO: Evaluate at epoch 6660! +[2024-05-25 02:06:46,649] - INFO: Eval PSNR (max): 38.060 (6600) SSIM (max): 0.9611 (5335) +[2024-05-25 02:06:46,649] - INFO: Eval PSNR (current): 38.044 (6660) SSIM (current): 0.9610 (6660) +[2024-05-25 02:06:46,649] - INFO: Evaluation over. +[2024-05-25 02:06:50,992] - INFO: Epoch 6661/9999, Iter 333000: Loss = 0.010619156993925571, lr = [5e-05] +[2024-05-25 02:07:18,577] - INFO: Epoch 6661/9999, Iter 333020: Loss = 0.012027883902192116, lr = [5e-05] +[2024-05-25 02:07:47,057] - INFO: Epoch 6661/9999, Iter 333040: Loss = 0.010579514317214489, lr = [5e-05] +[2024-05-25 02:08:16,358] - INFO: Epoch 6662/9999, Iter 333060: Loss = 0.01337157841771841, lr = [5e-05] +[2024-05-25 02:08:43,755] - INFO: Epoch 6662/9999, Iter 333080: Loss = 0.016327500343322754, lr = [5e-05] +[2024-05-25 02:09:12,646] - INFO: Epoch 6663/9999, Iter 333100: Loss = 0.011973732151091099, lr = [5e-05] +[2024-05-25 02:09:40,387] - INFO: Epoch 6663/9999, Iter 333120: Loss = 0.01079693902283907, lr = [5e-05] +[2024-05-25 02:10:09,324] - INFO: Epoch 6663/9999, Iter 333140: Loss = 0.01579986698925495, lr = [5e-05] +[2024-05-25 02:10:37,829] - INFO: Epoch 6664/9999, Iter 333160: Loss = 0.010030997917056084, lr = [5e-05] +[2024-05-25 02:11:04,851] - INFO: Epoch 6664/9999, Iter 333180: Loss = 0.01609138213098049, lr = [5e-05] +[2024-05-25 02:11:33,383] - INFO: Epoch 6665/9999, Iter 333200: Loss = 0.0174707118421793, lr = [5e-05] +[2024-05-25 02:12:00,784] - INFO: Epoch 6665/9999, Iter 333220: Loss = 0.013963780365884304, lr = [5e-05] +[2024-05-25 02:12:28,395] - INFO: Epoch 6665/9999, Iter 333240: Loss = 0.011082177050411701, lr = [5e-05] +[2024-05-25 02:12:40,664] - INFO: Evaluate at epoch 6665! +[2024-05-25 02:12:44,665] - INFO: Eval PSNR (max): 38.060 (6600) SSIM (max): 0.9611 (5335) +[2024-05-25 02:12:44,665] - INFO: Eval PSNR (current): 37.989 (6665) SSIM (current): 0.9608 (6665) +[2024-05-25 02:12:44,665] - INFO: Evaluation over. +[2024-05-25 02:13:03,323] - INFO: Epoch 6666/9999, Iter 333260: Loss = 0.016090085729956627, lr = [5e-05] +[2024-05-25 02:13:30,839] - INFO: Epoch 6666/9999, Iter 333280: Loss = 0.012913393788039684, lr = [5e-05] +[2024-05-25 02:13:59,412] - INFO: Epoch 6667/9999, Iter 333300: Loss = 0.009902593679726124, lr = [5e-05] +[2024-05-25 02:14:26,591] - INFO: Epoch 6667/9999, Iter 333320: Loss = 0.015998808667063713, lr = [5e-05] +[2024-05-25 02:14:54,950] - INFO: Epoch 6667/9999, Iter 333340: Loss = 0.009585137479007244, lr = [5e-05] +[2024-05-25 02:15:23,918] - INFO: Epoch 6668/9999, Iter 333360: Loss = 0.014405788853764534, lr = [5e-05] +[2024-05-25 02:15:52,159] - INFO: Epoch 6668/9999, Iter 333380: Loss = 0.013576642610132694, lr = [5e-05] +[2024-05-25 02:16:21,255] - INFO: Epoch 6669/9999, Iter 333400: Loss = 0.010377316735684872, lr = [5e-05] +[2024-05-25 02:16:49,315] - INFO: Epoch 6669/9999, Iter 333420: Loss = 0.015658710151910782, lr = [5e-05] +[2024-05-25 02:17:17,103] - INFO: Epoch 6669/9999, Iter 333440: Loss = 0.010958864353597164, lr = [5e-05] +[2024-05-25 02:17:46,198] - INFO: Epoch 6670/9999, Iter 333460: Loss = 0.012100480496883392, lr = [5e-05] +[2024-05-25 02:18:13,650] - INFO: Epoch 6670/9999, Iter 333480: Loss = 0.014187870547175407, lr = [5e-05] +[2024-05-25 02:18:39,331] - INFO: Evaluate at epoch 6670! +[2024-05-25 02:18:43,352] - INFO: Eval PSNR (max): 38.060 (6600) SSIM (max): 0.9611 (5335) +[2024-05-25 02:18:43,352] - INFO: Eval PSNR (current): 38.058 (6670) SSIM (current): 0.9610 (6670) +[2024-05-25 02:18:43,352] - INFO: Evaluation over. +[2024-05-25 02:18:48,083] - INFO: Epoch 6671/9999, Iter 333500: Loss = 0.013167602010071278, lr = [5e-05] +[2024-05-25 02:19:16,346] - INFO: Epoch 6671/9999, Iter 333520: Loss = 0.011715172789990902, lr = [5e-05] +[2024-05-25 02:19:44,172] - INFO: Epoch 6671/9999, Iter 333540: Loss = 0.01472733449190855, lr = [5e-05] +[2024-05-25 02:20:13,515] - INFO: Epoch 6672/9999, Iter 333560: Loss = 0.015208358876407146, lr = [5e-05] +[2024-05-25 02:20:41,571] - INFO: Epoch 6672/9999, Iter 333580: Loss = 0.010851998813450336, lr = [5e-05] +[2024-05-25 02:21:10,371] - INFO: Epoch 6673/9999, Iter 333600: Loss = 0.015533853322267532, lr = [5e-05] +[2024-05-25 02:21:37,827] - INFO: Epoch 6673/9999, Iter 333620: Loss = 0.011735377833247185, lr = [5e-05] +[2024-05-25 02:22:05,639] - INFO: Epoch 6673/9999, Iter 333640: Loss = 0.008478926494717598, lr = [5e-05] +[2024-05-25 02:22:34,448] - INFO: Epoch 6674/9999, Iter 333660: Loss = 0.014765988104045391, lr = [5e-05] +[2024-05-25 02:23:02,225] - INFO: Epoch 6674/9999, Iter 333680: Loss = 0.010499165393412113, lr = [5e-05] +[2024-05-25 02:23:30,633] - INFO: Epoch 6675/9999, Iter 333700: Loss = 0.014074767008423805, lr = [5e-05] +[2024-05-25 02:23:59,189] - INFO: Epoch 6675/9999, Iter 333720: Loss = 0.010715953074395657, lr = [5e-05] +[2024-05-25 02:24:27,195] - INFO: Epoch 6675/9999, Iter 333740: Loss = 0.011175683699548244, lr = [5e-05] +[2024-05-25 02:24:39,410] - INFO: Evaluate at epoch 6675! +[2024-05-25 02:24:43,441] - INFO: Eval PSNR (max): 38.060 (6600) SSIM (max): 0.9611 (5335) +[2024-05-25 02:24:43,441] - INFO: Eval PSNR (current): 38.041 (6675) SSIM (current): 0.9610 (6675) +[2024-05-25 02:24:43,441] - INFO: Evaluation over. +[2024-05-25 02:25:02,040] - INFO: Epoch 6676/9999, Iter 333760: Loss = 0.01277761161327362, lr = [5e-05] +[2024-05-25 02:25:29,723] - INFO: Epoch 6676/9999, Iter 333780: Loss = 0.008185623213648796, lr = [5e-05] +[2024-05-25 02:25:58,726] - INFO: Epoch 6677/9999, Iter 333800: Loss = 0.009630678221583366, lr = [5e-05] +[2024-05-25 02:26:25,879] - INFO: Epoch 6677/9999, Iter 333820: Loss = 0.010912559926509857, lr = [5e-05] +[2024-05-25 02:26:54,907] - INFO: Epoch 6677/9999, Iter 333840: Loss = 0.012284772470593452, lr = [5e-05] +[2024-05-25 02:27:22,867] - INFO: Epoch 6678/9999, Iter 333860: Loss = 0.018366213887929916, lr = [5e-05] +[2024-05-25 02:27:49,369] - INFO: Epoch 6678/9999, Iter 333880: Loss = 0.01083859708160162, lr = [5e-05] +[2024-05-25 02:28:18,624] - INFO: Epoch 6679/9999, Iter 333900: Loss = 0.00991729088127613, lr = [5e-05] +[2024-05-25 02:28:45,813] - INFO: Epoch 6679/9999, Iter 333920: Loss = 0.015915824100375175, lr = [5e-05] +[2024-05-25 02:29:13,561] - INFO: Epoch 6679/9999, Iter 333940: Loss = 0.011417225934565067, lr = [5e-05] +[2024-05-25 02:29:42,123] - INFO: Epoch 6680/9999, Iter 333960: Loss = 0.011705626733601093, lr = [5e-05] +[2024-05-25 02:30:09,523] - INFO: Epoch 6680/9999, Iter 333980: Loss = 0.01515442319214344, lr = [5e-05] +[2024-05-25 02:30:35,318] - INFO: Evaluate at epoch 6680! +[2024-05-25 02:30:39,339] - INFO: Eval PSNR (max): 38.060 (6600) SSIM (max): 0.9611 (5335) +[2024-05-25 02:30:39,339] - INFO: Eval PSNR (current): 38.057 (6680) SSIM (current): 0.9610 (6680) +[2024-05-25 02:30:39,339] - INFO: Evaluation over. +[2024-05-25 02:30:43,787] - INFO: Epoch 6681/9999, Iter 334000: Loss = 0.013565764762461185, lr = [5e-05] +[2024-05-25 02:31:09,823] - INFO: Epoch 6681/9999, Iter 334020: Loss = 0.01695253886282444, lr = [5e-05] +[2024-05-25 02:31:37,303] - INFO: Epoch 6681/9999, Iter 334040: Loss = 0.017692776396870613, lr = [5e-05] +[2024-05-25 02:32:06,677] - INFO: Epoch 6682/9999, Iter 334060: Loss = 0.011990131810307503, lr = [5e-05] +[2024-05-25 02:32:34,870] - INFO: Epoch 6682/9999, Iter 334080: Loss = 0.011793610639870167, lr = [5e-05] +[2024-05-25 02:33:03,836] - INFO: Epoch 6683/9999, Iter 334100: Loss = 0.017201008275151253, lr = [5e-05] +[2024-05-25 02:33:31,871] - INFO: Epoch 6683/9999, Iter 334120: Loss = 0.014119789935648441, lr = [5e-05] +[2024-05-25 02:33:59,805] - INFO: Epoch 6683/9999, Iter 334140: Loss = 0.010650810785591602, lr = [5e-05] +[2024-05-25 02:34:28,365] - INFO: Epoch 6684/9999, Iter 334160: Loss = 0.016468055546283722, lr = [5e-05] +[2024-05-25 02:34:55,996] - INFO: Epoch 6684/9999, Iter 334180: Loss = 0.01276848092675209, lr = [5e-05] +[2024-05-25 02:35:25,931] - INFO: Epoch 6685/9999, Iter 334200: Loss = 0.008422516286373138, lr = [5e-05] +[2024-05-25 02:35:54,332] - INFO: Epoch 6685/9999, Iter 334220: Loss = 0.00703829200938344, lr = [5e-05] +[2024-05-25 02:36:22,371] - INFO: Epoch 6685/9999, Iter 334240: Loss = 0.01107398234307766, lr = [5e-05] +[2024-05-25 02:36:34,608] - INFO: Evaluate at epoch 6685! +[2024-05-25 02:36:38,626] - INFO: Eval PSNR (max): 38.060 (6600) SSIM (max): 0.9611 (5335) +[2024-05-25 02:36:38,626] - INFO: Eval PSNR (current): 38.017 (6685) SSIM (current): 0.9609 (6685) +[2024-05-25 02:36:38,626] - INFO: Evaluation over. +[2024-05-25 02:36:57,923] - INFO: Epoch 6686/9999, Iter 334260: Loss = 0.012246524915099144, lr = [5e-05] +[2024-05-25 02:37:25,721] - INFO: Epoch 6686/9999, Iter 334280: Loss = 0.01184053160250187, lr = [5e-05] +[2024-05-25 02:37:53,960] - INFO: Epoch 6687/9999, Iter 334300: Loss = 0.010176826268434525, lr = [5e-05] +[2024-05-25 02:38:21,953] - INFO: Epoch 6687/9999, Iter 334320: Loss = 0.017091426998376846, lr = [5e-05] +[2024-05-25 02:38:50,734] - INFO: Epoch 6687/9999, Iter 334340: Loss = 0.007998962886631489, lr = [5e-05] +[2024-05-25 02:39:19,587] - INFO: Epoch 6688/9999, Iter 334360: Loss = 0.017723454162478447, lr = [5e-05] +[2024-05-25 02:39:47,579] - INFO: Epoch 6688/9999, Iter 334380: Loss = 0.011431969702243805, lr = [5e-05] +[2024-05-25 02:40:16,442] - INFO: Epoch 6689/9999, Iter 334400: Loss = 0.015816068276762962, lr = [5e-05] +[2024-05-25 02:40:44,083] - INFO: Epoch 6689/9999, Iter 334420: Loss = 0.013625429943203926, lr = [5e-05] +[2024-05-25 02:41:12,845] - INFO: Epoch 6689/9999, Iter 334440: Loss = 0.009435419924557209, lr = [5e-05] +[2024-05-25 02:41:41,297] - INFO: Epoch 6690/9999, Iter 334460: Loss = 0.015280977822840214, lr = [5e-05] +[2024-05-25 02:42:09,000] - INFO: Epoch 6690/9999, Iter 334480: Loss = 0.015056000091135502, lr = [5e-05] +[2024-05-25 02:42:35,495] - INFO: Evaluate at epoch 6690! +[2024-05-25 02:42:39,507] - INFO: Eval PSNR (max): 38.060 (6600) SSIM (max): 0.9611 (5335) +[2024-05-25 02:42:39,508] - INFO: Eval PSNR (current): 38.022 (6690) SSIM (current): 0.9608 (6690) +[2024-05-25 02:42:39,508] - INFO: Evaluation over. +[2024-05-25 02:42:43,911] - INFO: Epoch 6691/9999, Iter 334500: Loss = 0.013122753240168095, lr = [5e-05] +[2024-05-25 02:43:12,458] - INFO: Epoch 6691/9999, Iter 334520: Loss = 0.008532307110726833, lr = [5e-05] +[2024-05-25 02:43:40,381] - INFO: Epoch 6691/9999, Iter 334540: Loss = 0.017956508323550224, lr = [5e-05] +[2024-05-25 02:44:09,457] - INFO: Epoch 6692/9999, Iter 334560: Loss = 0.015032218769192696, lr = [5e-05] +[2024-05-25 02:44:36,787] - INFO: Epoch 6692/9999, Iter 334580: Loss = 0.008400696329772472, lr = [5e-05] +[2024-05-25 02:45:05,876] - INFO: Epoch 6693/9999, Iter 334600: Loss = 0.015851881355047226, lr = [5e-05] +[2024-05-25 02:45:34,327] - INFO: Epoch 6693/9999, Iter 334620: Loss = 0.008515973575413227, lr = [5e-05] +[2024-05-25 02:46:02,524] - INFO: Epoch 6693/9999, Iter 334640: Loss = 0.015060697682201862, lr = [5e-05] +[2024-05-25 02:46:30,949] - INFO: Epoch 6694/9999, Iter 334660: Loss = 0.014776463620364666, lr = [5e-05] +[2024-05-25 02:46:59,483] - INFO: Epoch 6694/9999, Iter 334680: Loss = 0.01710546761751175, lr = [5e-05] +[2024-05-25 02:47:28,726] - INFO: Epoch 6695/9999, Iter 334700: Loss = 0.0064969235099852085, lr = [5e-05] +[2024-05-25 02:47:55,626] - INFO: Epoch 6695/9999, Iter 334720: Loss = 0.008346186950802803, lr = [5e-05] +[2024-05-25 02:48:24,061] - INFO: Epoch 6695/9999, Iter 334740: Loss = 0.015370000153779984, lr = [5e-05] +[2024-05-25 02:48:36,564] - INFO: Evaluate at epoch 6695! +[2024-05-25 02:48:40,574] - INFO: Eval PSNR (max): 38.060 (6600) SSIM (max): 0.9611 (5335) +[2024-05-25 02:48:40,574] - INFO: Eval PSNR (current): 37.965 (6695) SSIM (current): 0.9607 (6695) +[2024-05-25 02:48:40,574] - INFO: Evaluation over. +[2024-05-25 02:48:59,335] - INFO: Epoch 6696/9999, Iter 334760: Loss = 0.012164365500211716, lr = [5e-05] +[2024-05-25 02:49:27,403] - INFO: Epoch 6696/9999, Iter 334780: Loss = 0.015300543047487736, lr = [5e-05] +[2024-05-25 02:49:56,008] - INFO: Epoch 6697/9999, Iter 334800: Loss = 0.010404224507510662, lr = [5e-05] +[2024-05-25 02:50:24,291] - INFO: Epoch 6697/9999, Iter 334820: Loss = 0.009945272468030453, lr = [5e-05] +[2024-05-25 02:50:51,542] - INFO: Epoch 6697/9999, Iter 334840: Loss = 0.013615546748042107, lr = [5e-05] +[2024-05-25 02:51:20,999] - INFO: Epoch 6698/9999, Iter 334860: Loss = 0.018002910539507866, lr = [5e-05] +[2024-05-25 02:51:48,603] - INFO: Epoch 6698/9999, Iter 334880: Loss = 0.010896516032516956, lr = [5e-05] +[2024-05-25 02:52:17,160] - INFO: Epoch 6699/9999, Iter 334900: Loss = 0.011430798098444939, lr = [5e-05] +[2024-05-25 02:52:44,616] - INFO: Epoch 6699/9999, Iter 334920: Loss = 0.011258520185947418, lr = [5e-05] +[2024-05-25 02:53:11,725] - INFO: Epoch 6699/9999, Iter 334940: Loss = 0.007980288937687874, lr = [5e-05] +[2024-05-25 02:53:40,791] - INFO: Epoch 6700/9999, Iter 334960: Loss = 0.010448100045323372, lr = [5e-05] +[2024-05-25 02:54:07,193] - INFO: Epoch 6700/9999, Iter 334980: Loss = 0.009410370141267776, lr = [5e-05] +[2024-05-25 02:54:33,100] - INFO: Evaluate at epoch 6700! +[2024-05-25 02:54:37,114] - INFO: Eval PSNR (max): 38.060 (6600) SSIM (max): 0.9611 (5335) +[2024-05-25 02:54:37,114] - INFO: Eval PSNR (current): 38.006 (6700) SSIM (current): 0.9608 (6700) +[2024-05-25 02:54:37,114] - INFO: Evaluation over. +[2024-05-25 02:54:42,472] - INFO: Epoch 6701/9999, Iter 335000: Loss = 0.008568874560296535, lr = [5e-05] +[2024-05-25 02:55:10,246] - INFO: Epoch 6701/9999, Iter 335020: Loss = 0.015578292310237885, lr = [5e-05] +[2024-05-25 02:55:38,798] - INFO: Epoch 6701/9999, Iter 335040: Loss = 0.015310648828744888, lr = [5e-05] +[2024-05-25 02:56:06,187] - INFO: Epoch 6702/9999, Iter 335060: Loss = 0.01256596203893423, lr = [5e-05] +[2024-05-25 02:56:33,283] - INFO: Epoch 6702/9999, Iter 335080: Loss = 0.010265642777085304, lr = [5e-05] +[2024-05-25 02:57:02,781] - INFO: Epoch 6703/9999, Iter 335100: Loss = 0.01109231635928154, lr = [5e-05] +[2024-05-25 02:57:29,370] - INFO: Epoch 6703/9999, Iter 335120: Loss = 0.011615411378443241, lr = [5e-05] +[2024-05-25 02:57:56,554] - INFO: Epoch 6703/9999, Iter 335140: Loss = 0.015144995413720608, lr = [5e-05] +[2024-05-25 02:58:26,019] - INFO: Epoch 6704/9999, Iter 335160: Loss = 0.0169999897480011, lr = [5e-05] +[2024-05-25 02:58:54,019] - INFO: Epoch 6704/9999, Iter 335180: Loss = 0.01133120246231556, lr = [5e-05] +[2024-05-25 02:59:23,423] - INFO: Epoch 6705/9999, Iter 335200: Loss = 0.01234937459230423, lr = [5e-05] +[2024-05-25 02:59:50,399] - INFO: Epoch 6705/9999, Iter 335220: Loss = 0.013643641956150532, lr = [5e-05] +[2024-05-25 03:00:18,227] - INFO: Epoch 6705/9999, Iter 335240: Loss = 0.011098170652985573, lr = [5e-05] +[2024-05-25 03:00:30,630] - INFO: Evaluate at epoch 6705! +[2024-05-25 03:00:34,661] - INFO: Eval PSNR (max): 38.060 (6600) SSIM (max): 0.9611 (5335) +[2024-05-25 03:00:34,662] - INFO: Eval PSNR (current): 38.048 (6705) SSIM (current): 0.9610 (6705) +[2024-05-25 03:00:34,662] - INFO: Evaluation over. +[2024-05-25 03:00:53,509] - INFO: Epoch 6706/9999, Iter 335260: Loss = 0.010287903249263763, lr = [5e-05] +[2024-05-25 03:01:22,535] - INFO: Epoch 6706/9999, Iter 335280: Loss = 0.012335804291069508, lr = [5e-05] +[2024-05-25 03:01:50,733] - INFO: Epoch 6707/9999, Iter 335300: Loss = 0.01605883426964283, lr = [5e-05] +[2024-05-25 03:02:18,517] - INFO: Epoch 6707/9999, Iter 335320: Loss = 0.016249122098088264, lr = [5e-05] +[2024-05-25 03:02:46,763] - INFO: Epoch 6707/9999, Iter 335340: Loss = 0.01927092857658863, lr = [5e-05] +[2024-05-25 03:03:15,071] - INFO: Epoch 6708/9999, Iter 335360: Loss = 0.008666734211146832, lr = [5e-05] +[2024-05-25 03:03:43,863] - INFO: Epoch 6708/9999, Iter 335380: Loss = 0.012318630702793598, lr = [5e-05] +[2024-05-25 03:04:13,063] - INFO: Epoch 6709/9999, Iter 335400: Loss = 0.016032224521040916, lr = [5e-05] +[2024-05-25 03:04:40,348] - INFO: Epoch 6709/9999, Iter 335420: Loss = 0.01177276112139225, lr = [5e-05] +[2024-05-25 03:05:07,015] - INFO: Epoch 6709/9999, Iter 335440: Loss = 0.015535309910774231, lr = [5e-05] +[2024-05-25 03:05:36,058] - INFO: Epoch 6710/9999, Iter 335460: Loss = 0.01609824411571026, lr = [5e-05] +[2024-05-25 03:06:03,526] - INFO: Epoch 6710/9999, Iter 335480: Loss = 0.016044098883867264, lr = [5e-05] +[2024-05-25 03:06:29,774] - INFO: Evaluate at epoch 6710! +[2024-05-25 03:06:33,860] - INFO: Eval PSNR (max): 38.060 (6600) SSIM (max): 0.9611 (5335) +[2024-05-25 03:06:33,860] - INFO: Eval PSNR (current): 38.025 (6710) SSIM (current): 0.9609 (6710) +[2024-05-25 03:06:33,860] - INFO: Evaluation over. +[2024-05-25 03:06:38,432] - INFO: Epoch 6711/9999, Iter 335500: Loss = 0.016562076285481453, lr = [5e-05] +[2024-05-25 03:07:05,458] - INFO: Epoch 6711/9999, Iter 335520: Loss = 0.009187434799969196, lr = [5e-05] +[2024-05-25 03:07:32,470] - INFO: Epoch 6711/9999, Iter 335540: Loss = 0.012793303467333317, lr = [5e-05] +[2024-05-25 03:08:01,750] - INFO: Epoch 6712/9999, Iter 335560: Loss = 0.012590044178068638, lr = [5e-05] +[2024-05-25 03:08:28,785] - INFO: Epoch 6712/9999, Iter 335580: Loss = 0.014516772702336311, lr = [5e-05] +[2024-05-25 03:08:58,255] - INFO: Epoch 6713/9999, Iter 335600: Loss = 0.012313924729824066, lr = [5e-05] +[2024-05-25 03:09:27,068] - INFO: Epoch 6713/9999, Iter 335620: Loss = 0.010912489145994186, lr = [5e-05] +[2024-05-25 03:09:54,509] - INFO: Epoch 6713/9999, Iter 335640: Loss = 0.01161099411547184, lr = [5e-05] +[2024-05-25 03:10:23,663] - INFO: Epoch 6714/9999, Iter 335660: Loss = 0.02126128599047661, lr = [5e-05] +[2024-05-25 03:10:51,991] - INFO: Epoch 6714/9999, Iter 335680: Loss = 0.011272107250988483, lr = [5e-05] +[2024-05-25 03:11:20,663] - INFO: Epoch 6715/9999, Iter 335700: Loss = 0.014132554642856121, lr = [5e-05] +[2024-05-25 03:11:48,085] - INFO: Epoch 6715/9999, Iter 335720: Loss = 0.009245513938367367, lr = [5e-05] +[2024-05-25 03:12:16,051] - INFO: Epoch 6715/9999, Iter 335740: Loss = 0.009576073847711086, lr = [5e-05] +[2024-05-25 03:12:28,814] - INFO: Evaluate at epoch 6715! +[2024-05-25 03:12:32,838] - INFO: Eval PSNR (max): 38.060 (6600) SSIM (max): 0.9611 (5335) +[2024-05-25 03:12:32,838] - INFO: Eval PSNR (current): 38.025 (6715) SSIM (current): 0.9609 (6715) +[2024-05-25 03:12:32,838] - INFO: Evaluation over. +[2024-05-25 03:12:51,769] - INFO: Epoch 6716/9999, Iter 335760: Loss = 0.015667255967855453, lr = [5e-05] +[2024-05-25 03:13:19,472] - INFO: Epoch 6716/9999, Iter 335780: Loss = 0.013343089260160923, lr = [5e-05] +[2024-05-25 03:13:48,655] - INFO: Epoch 6717/9999, Iter 335800: Loss = 0.01423072163015604, lr = [5e-05] +[2024-05-25 03:14:16,755] - INFO: Epoch 6717/9999, Iter 335820: Loss = 0.011843346990644932, lr = [5e-05] +[2024-05-25 03:14:43,729] - INFO: Epoch 6717/9999, Iter 335840: Loss = 0.017622455954551697, lr = [5e-05] +[2024-05-25 03:15:13,279] - INFO: Epoch 6718/9999, Iter 335860: Loss = 0.01279392745345831, lr = [5e-05] +[2024-05-25 03:15:41,765] - INFO: Epoch 6718/9999, Iter 335880: Loss = 0.009899567812681198, lr = [5e-05] +[2024-05-25 03:16:10,368] - INFO: Epoch 6719/9999, Iter 335900: Loss = 0.015388685278594494, lr = [5e-05] +[2024-05-25 03:16:37,619] - INFO: Epoch 6719/9999, Iter 335920: Loss = 0.016389833763241768, lr = [5e-05] +[2024-05-25 03:17:04,727] - INFO: Epoch 6719/9999, Iter 335940: Loss = 0.015129045583307743, lr = [5e-05] +[2024-05-25 03:17:33,574] - INFO: Epoch 6720/9999, Iter 335960: Loss = 0.01619156263768673, lr = [5e-05] +[2024-05-25 03:18:01,591] - INFO: Epoch 6720/9999, Iter 335980: Loss = 0.017654726281762123, lr = [5e-05] +[2024-05-25 03:18:27,379] - INFO: Evaluate at epoch 6720! +[2024-05-25 03:18:31,396] - INFO: Eval PSNR (max): 38.060 (6600) SSIM (max): 0.9611 (5335) +[2024-05-25 03:18:31,396] - INFO: Eval PSNR (current): 38.023 (6720) SSIM (current): 0.9609 (6720) +[2024-05-25 03:18:31,396] - INFO: Evaluation over. +[2024-05-25 03:18:35,930] - INFO: Epoch 6721/9999, Iter 336000: Loss = 0.00977698527276516, lr = [5e-05] +[2024-05-25 03:19:04,267] - INFO: Epoch 6721/9999, Iter 336020: Loss = 0.009735952131450176, lr = [5e-05] +[2024-05-25 03:19:31,800] - INFO: Epoch 6721/9999, Iter 336040: Loss = 0.011839023791253567, lr = [5e-05] +[2024-05-25 03:20:00,471] - INFO: Epoch 6722/9999, Iter 336060: Loss = 0.017365390434861183, lr = [5e-05] +[2024-05-25 03:20:28,593] - INFO: Epoch 6722/9999, Iter 336080: Loss = 0.014236949384212494, lr = [5e-05] +[2024-05-25 03:20:57,381] - INFO: Epoch 6723/9999, Iter 336100: Loss = 0.019659006968140602, lr = [5e-05] +[2024-05-25 03:21:25,863] - INFO: Epoch 6723/9999, Iter 336120: Loss = 0.011754965409636497, lr = [5e-05] +[2024-05-25 03:21:53,012] - INFO: Epoch 6723/9999, Iter 336140: Loss = 0.019407378509640694, lr = [5e-05] +[2024-05-25 03:22:21,492] - INFO: Epoch 6724/9999, Iter 336160: Loss = 0.01640121266245842, lr = [5e-05] +[2024-05-25 03:22:49,031] - INFO: Epoch 6724/9999, Iter 336180: Loss = 0.010729451663792133, lr = [5e-05] +[2024-05-25 03:23:17,700] - INFO: Epoch 6725/9999, Iter 336200: Loss = 0.015548965893685818, lr = [5e-05] +[2024-05-25 03:23:45,536] - INFO: Epoch 6725/9999, Iter 336220: Loss = 0.013286072760820389, lr = [5e-05] +[2024-05-25 03:24:12,923] - INFO: Epoch 6725/9999, Iter 336240: Loss = 0.016980182379484177, lr = [5e-05] +[2024-05-25 03:24:25,581] - INFO: Evaluate at epoch 6725! +[2024-05-25 03:24:29,617] - INFO: Eval PSNR (max): 38.060 (6600) SSIM (max): 0.9611 (5335) +[2024-05-25 03:24:29,617] - INFO: Eval PSNR (current): 38.035 (6725) SSIM (current): 0.9609 (6725) +[2024-05-25 03:24:29,617] - INFO: Evaluation over. +[2024-05-25 03:24:48,006] - INFO: Epoch 6726/9999, Iter 336260: Loss = 0.01344165951013565, lr = [5e-05] +[2024-05-25 03:25:16,760] - INFO: Epoch 6726/9999, Iter 336280: Loss = 0.010141855105757713, lr = [5e-05] +[2024-05-25 03:25:45,582] - INFO: Epoch 6727/9999, Iter 336300: Loss = 0.017730126157402992, lr = [5e-05] +[2024-05-25 03:26:13,186] - INFO: Epoch 6727/9999, Iter 336320: Loss = 0.014728939160704613, lr = [5e-05] +[2024-05-25 03:26:42,291] - INFO: Epoch 6727/9999, Iter 336340: Loss = 0.011583453975617886, lr = [5e-05] +[2024-05-25 03:27:11,177] - INFO: Epoch 6728/9999, Iter 336360: Loss = 0.01639564149081707, lr = [5e-05] +[2024-05-25 03:27:38,757] - INFO: Epoch 6728/9999, Iter 336380: Loss = 0.011381173506379128, lr = [5e-05] +[2024-05-25 03:28:07,844] - INFO: Epoch 6729/9999, Iter 336400: Loss = 0.015292007476091385, lr = [5e-05] +[2024-05-25 03:28:35,503] - INFO: Epoch 6729/9999, Iter 336420: Loss = 0.015520480461418629, lr = [5e-05] +[2024-05-25 03:29:03,439] - INFO: Epoch 6729/9999, Iter 336440: Loss = 0.018987925723195076, lr = [5e-05] +[2024-05-25 03:29:32,355] - INFO: Epoch 6730/9999, Iter 336460: Loss = 0.00917582493275404, lr = [5e-05] +[2024-05-25 03:29:59,285] - INFO: Epoch 6730/9999, Iter 336480: Loss = 0.010773136280477047, lr = [5e-05] +[2024-05-25 03:30:26,201] - INFO: Evaluate at epoch 6730! +[2024-05-25 03:30:30,225] - INFO: Eval PSNR (max): 38.060 (6600) SSIM (max): 0.9611 (5335) +[2024-05-25 03:30:30,226] - INFO: Eval PSNR (current): 38.033 (6730) SSIM (current): 0.9609 (6730) +[2024-05-25 03:30:30,226] - INFO: Evaluation over. +[2024-05-25 03:30:34,713] - INFO: Epoch 6731/9999, Iter 336500: Loss = 0.018270272761583328, lr = [5e-05] +[2024-05-25 03:31:01,417] - INFO: Epoch 6731/9999, Iter 336520: Loss = 0.013596621342003345, lr = [5e-05] +[2024-05-25 03:31:29,071] - INFO: Epoch 6731/9999, Iter 336540: Loss = 0.014189563691616058, lr = [5e-05] +[2024-05-25 03:31:58,936] - INFO: Epoch 6732/9999, Iter 336560: Loss = 0.007916362024843693, lr = [5e-05] +[2024-05-25 03:32:27,171] - INFO: Epoch 6732/9999, Iter 336580: Loss = 0.009186100214719772, lr = [5e-05] +[2024-05-25 03:32:56,198] - INFO: Epoch 6733/9999, Iter 336600: Loss = 0.011427846737205982, lr = [5e-05] +[2024-05-25 03:33:23,890] - INFO: Epoch 6733/9999, Iter 336620: Loss = 0.013069151900708675, lr = [5e-05] +[2024-05-25 03:33:50,800] - INFO: Epoch 6733/9999, Iter 336640: Loss = 0.011038868688046932, lr = [5e-05] +[2024-05-25 03:34:20,903] - INFO: Epoch 6734/9999, Iter 336660: Loss = 0.015148120932281017, lr = [5e-05] +[2024-05-25 03:34:48,983] - INFO: Epoch 6734/9999, Iter 336680: Loss = 0.012731313705444336, lr = [5e-05] +[2024-05-25 03:35:17,659] - INFO: Epoch 6735/9999, Iter 336700: Loss = 0.015903891995549202, lr = [5e-05] +[2024-05-25 03:35:46,208] - INFO: Epoch 6735/9999, Iter 336720: Loss = 0.013938454911112785, lr = [5e-05] +[2024-05-25 03:36:13,664] - INFO: Epoch 6735/9999, Iter 336740: Loss = 0.014658758416771889, lr = [5e-05] +[2024-05-25 03:36:25,768] - INFO: Evaluate at epoch 6735! +[2024-05-25 03:36:29,818] - INFO: Eval PSNR (max): 38.060 (6600) SSIM (max): 0.9611 (5335) +[2024-05-25 03:36:29,818] - INFO: Eval PSNR (current): 38.033 (6735) SSIM (current): 0.9609 (6735) +[2024-05-25 03:36:29,818] - INFO: Evaluation over. +[2024-05-25 03:36:47,979] - INFO: Epoch 6736/9999, Iter 336760: Loss = 0.018155964091420174, lr = [5e-05] +[2024-05-25 03:37:16,127] - INFO: Epoch 6736/9999, Iter 336780: Loss = 0.013335788622498512, lr = [5e-05] +[2024-05-25 03:37:44,915] - INFO: Epoch 6737/9999, Iter 336800: Loss = 0.015410860069096088, lr = [5e-05] +[2024-05-25 03:38:12,927] - INFO: Epoch 6737/9999, Iter 336820: Loss = 0.008412902243435383, lr = [5e-05] +[2024-05-25 03:38:41,007] - INFO: Epoch 6737/9999, Iter 336840: Loss = 0.01439622137695551, lr = [5e-05] +[2024-05-25 03:39:10,357] - INFO: Epoch 6738/9999, Iter 336860: Loss = 0.009484060108661652, lr = [5e-05] +[2024-05-25 03:39:38,246] - INFO: Epoch 6738/9999, Iter 336880: Loss = 0.01335524395108223, lr = [5e-05] +[2024-05-25 03:40:07,275] - INFO: Epoch 6739/9999, Iter 336900: Loss = 0.013085544109344482, lr = [5e-05] +[2024-05-25 03:40:35,059] - INFO: Epoch 6739/9999, Iter 336920: Loss = 0.009004716761410236, lr = [5e-05] +[2024-05-25 03:41:01,774] - INFO: Epoch 6739/9999, Iter 336940: Loss = 0.012495355680584908, lr = [5e-05] +[2024-05-25 03:41:30,939] - INFO: Epoch 6740/9999, Iter 336960: Loss = 0.015134073793888092, lr = [5e-05] +[2024-05-25 03:41:58,407] - INFO: Epoch 6740/9999, Iter 336980: Loss = 0.011809318326413631, lr = [5e-05] +[2024-05-25 03:42:25,123] - INFO: Evaluate at epoch 6740! +[2024-05-25 03:42:29,163] - INFO: Eval PSNR (max): 38.060 (6600) SSIM (max): 0.9611 (5335) +[2024-05-25 03:42:29,163] - INFO: Eval PSNR (current): 38.028 (6740) SSIM (current): 0.9609 (6740) +[2024-05-25 03:42:29,163] - INFO: Evaluation over. +[2024-05-25 03:42:33,738] - INFO: Epoch 6741/9999, Iter 337000: Loss = 0.01636551506817341, lr = [5e-05] +[2024-05-25 03:43:02,143] - INFO: Epoch 6741/9999, Iter 337020: Loss = 0.011628263629972935, lr = [5e-05] +[2024-05-25 03:43:29,071] - INFO: Epoch 6741/9999, Iter 337040: Loss = 0.015874739736318588, lr = [5e-05] +[2024-05-25 03:43:58,459] - INFO: Epoch 6742/9999, Iter 337060: Loss = 0.01996241882443428, lr = [5e-05] +[2024-05-25 03:44:26,375] - INFO: Epoch 6742/9999, Iter 337080: Loss = 0.014418005011975765, lr = [5e-05] +[2024-05-25 03:44:56,055] - INFO: Epoch 6743/9999, Iter 337100: Loss = 0.014768785797059536, lr = [5e-05] +[2024-05-25 03:45:23,836] - INFO: Epoch 6743/9999, Iter 337120: Loss = 0.010154393501579762, lr = [5e-05] +[2024-05-25 03:45:51,503] - INFO: Epoch 6743/9999, Iter 337140: Loss = 0.010982667095959187, lr = [5e-05] +[2024-05-25 03:46:21,355] - INFO: Epoch 6744/9999, Iter 337160: Loss = 0.013635300099849701, lr = [5e-05] +[2024-05-25 03:46:48,859] - INFO: Epoch 6744/9999, Iter 337180: Loss = 0.015954328700900078, lr = [5e-05] +[2024-05-25 03:47:16,989] - INFO: Epoch 6745/9999, Iter 337200: Loss = 0.011215060949325562, lr = [5e-05] +[2024-05-25 03:47:44,651] - INFO: Epoch 6745/9999, Iter 337220: Loss = 0.01258149929344654, lr = [5e-05] +[2024-05-25 03:48:12,189] - INFO: Epoch 6745/9999, Iter 337240: Loss = 0.01272670179605484, lr = [5e-05] +[2024-05-25 03:48:24,593] - INFO: Evaluate at epoch 6745! +[2024-05-25 03:48:28,602] - INFO: Eval PSNR (max): 38.060 (6600) SSIM (max): 0.9611 (5335) +[2024-05-25 03:48:28,603] - INFO: Eval PSNR (current): 38.035 (6745) SSIM (current): 0.9609 (6745) +[2024-05-25 03:48:28,603] - INFO: Evaluation over. +[2024-05-25 03:48:47,225] - INFO: Epoch 6746/9999, Iter 337260: Loss = 0.013141430914402008, lr = [5e-05] +[2024-05-25 03:49:13,955] - INFO: Epoch 6746/9999, Iter 337280: Loss = 0.016783660277724266, lr = [5e-05] +[2024-05-25 03:49:42,747] - INFO: Epoch 6747/9999, Iter 337300: Loss = 0.009483903646469116, lr = [5e-05] +[2024-05-25 03:50:10,539] - INFO: Epoch 6747/9999, Iter 337320: Loss = 0.019136331975460052, lr = [5e-05] +[2024-05-25 03:50:37,883] - INFO: Epoch 6747/9999, Iter 337340: Loss = 0.010604029521346092, lr = [5e-05] +[2024-05-25 03:51:07,891] - INFO: Epoch 6748/9999, Iter 337360: Loss = 0.010383098386228085, lr = [5e-05] +[2024-05-25 03:51:35,541] - INFO: Epoch 6748/9999, Iter 337380: Loss = 0.017071614041924477, lr = [5e-05] +[2024-05-25 03:52:04,606] - INFO: Epoch 6749/9999, Iter 337400: Loss = 0.010543028824031353, lr = [5e-05] +[2024-05-25 03:52:32,673] - INFO: Epoch 6749/9999, Iter 337420: Loss = 0.007845580577850342, lr = [5e-05] +[2024-05-25 03:53:01,135] - INFO: Epoch 6749/9999, Iter 337440: Loss = 0.0145780760794878, lr = [5e-05] +[2024-05-25 03:53:30,459] - INFO: Epoch 6750/9999, Iter 337460: Loss = 0.011680510826408863, lr = [5e-05] +[2024-05-25 03:53:57,768] - INFO: Epoch 6750/9999, Iter 337480: Loss = 0.01482117548584938, lr = [5e-05] +[2024-05-25 03:54:23,940] - INFO: Evaluate at epoch 6750! +[2024-05-25 03:54:27,957] - INFO: Eval PSNR (max): 38.060 (6600) SSIM (max): 0.9611 (5335) +[2024-05-25 03:54:27,958] - INFO: Eval PSNR (current): 38.052 (6750) SSIM (current): 0.9610 (6750) +[2024-05-25 03:54:27,958] - INFO: Evaluation over. +[2024-05-25 03:54:33,112] - INFO: Epoch 6751/9999, Iter 337500: Loss = 0.014087405987083912, lr = [5e-05] +[2024-05-25 03:55:00,781] - INFO: Epoch 6751/9999, Iter 337520: Loss = 0.01128105353564024, lr = [5e-05] +[2024-05-25 03:55:28,467] - INFO: Epoch 6751/9999, Iter 337540: Loss = 0.01465266291052103, lr = [5e-05] +[2024-05-25 03:55:57,231] - INFO: Epoch 6752/9999, Iter 337560: Loss = 0.013136438094079494, lr = [5e-05] +[2024-05-25 03:56:23,983] - INFO: Epoch 6752/9999, Iter 337580: Loss = 0.010766823776066303, lr = [5e-05] +[2024-05-25 03:56:53,011] - INFO: Epoch 6753/9999, Iter 337600: Loss = 0.011121288873255253, lr = [5e-05] +[2024-05-25 03:57:21,531] - INFO: Epoch 6753/9999, Iter 337620: Loss = 0.013270045630633831, lr = [5e-05] +[2024-05-25 03:57:48,951] - INFO: Epoch 6753/9999, Iter 337640: Loss = 0.011828705668449402, lr = [5e-05] +[2024-05-25 03:58:18,339] - INFO: Epoch 6754/9999, Iter 337660: Loss = 0.01325827743858099, lr = [5e-05] +[2024-05-25 03:58:46,984] - INFO: Epoch 6754/9999, Iter 337680: Loss = 0.01018922496587038, lr = [5e-05] +[2024-05-25 03:59:15,472] - INFO: Epoch 6755/9999, Iter 337700: Loss = 0.009817076846957207, lr = [5e-05] +[2024-05-25 03:59:42,927] - INFO: Epoch 6755/9999, Iter 337720: Loss = 0.016604721546173096, lr = [5e-05] +[2024-05-25 04:00:09,547] - INFO: Epoch 6755/9999, Iter 337740: Loss = 0.010031057521700859, lr = [5e-05] +[2024-05-25 04:00:22,262] - INFO: Evaluate at epoch 6755! +[2024-05-25 04:00:28,005] - INFO: Eval PSNR (max): 38.065 (6755) SSIM (max): 0.9611 (5335) +[2024-05-25 04:00:28,006] - INFO: Eval PSNR (current): 38.065 (6755) SSIM (current): 0.9609 (6755) +[2024-05-25 04:00:28,006] - INFO: Evaluation over. +[2024-05-25 04:00:46,187] - INFO: Epoch 6756/9999, Iter 337760: Loss = 0.010524828918278217, lr = [5e-05] +[2024-05-25 04:01:13,467] - INFO: Epoch 6756/9999, Iter 337780: Loss = 0.011867825873196125, lr = [5e-05] +[2024-05-25 04:01:42,051] - INFO: Epoch 6757/9999, Iter 337800: Loss = 0.010436011478304863, lr = [5e-05] +[2024-05-25 04:02:09,959] - INFO: Epoch 6757/9999, Iter 337820: Loss = 0.007895872928202152, lr = [5e-05] +[2024-05-25 04:02:37,188] - INFO: Epoch 6757/9999, Iter 337840: Loss = 0.008973135612905025, lr = [5e-05] +[2024-05-25 04:03:06,019] - INFO: Epoch 6758/9999, Iter 337860: Loss = 0.02226679027080536, lr = [5e-05] +[2024-05-25 04:03:33,220] - INFO: Epoch 6758/9999, Iter 337880: Loss = 0.012553566135466099, lr = [5e-05] +[2024-05-25 04:04:02,124] - INFO: Epoch 6759/9999, Iter 337900: Loss = 0.0055207256227731705, lr = [5e-05] +[2024-05-25 04:04:30,140] - INFO: Epoch 6759/9999, Iter 337920: Loss = 0.008716518990695477, lr = [5e-05] +[2024-05-25 04:04:56,610] - INFO: Epoch 6759/9999, Iter 337940: Loss = 0.01887061446905136, lr = [5e-05] +[2024-05-25 04:05:26,093] - INFO: Epoch 6760/9999, Iter 337960: Loss = 0.011269720271229744, lr = [5e-05] +[2024-05-25 04:05:52,895] - INFO: Epoch 6760/9999, Iter 337980: Loss = 0.008502019569277763, lr = [5e-05] +[2024-05-25 04:06:19,548] - INFO: Evaluate at epoch 6760! +[2024-05-25 04:06:23,563] - INFO: Eval PSNR (max): 38.065 (6755) SSIM (max): 0.9611 (5335) +[2024-05-25 04:06:23,564] - INFO: Eval PSNR (current): 37.942 (6760) SSIM (current): 0.9607 (6760) +[2024-05-25 04:06:23,564] - INFO: Evaluation over. +[2024-05-25 04:06:28,277] - INFO: Epoch 6761/9999, Iter 338000: Loss = 0.01459521520882845, lr = [5e-05] +[2024-05-25 04:06:55,787] - INFO: Epoch 6761/9999, Iter 338020: Loss = 0.015168696641921997, lr = [5e-05] +[2024-05-25 04:07:23,561] - INFO: Epoch 6761/9999, Iter 338040: Loss = 0.016492117196321487, lr = [5e-05] +[2024-05-25 04:07:52,748] - INFO: Epoch 6762/9999, Iter 338060: Loss = 0.015563885681331158, lr = [5e-05] +[2024-05-25 04:08:20,441] - INFO: Epoch 6762/9999, Iter 338080: Loss = 0.00955953635275364, lr = [5e-05] +[2024-05-25 04:08:49,408] - INFO: Epoch 6763/9999, Iter 338100: Loss = 0.011203299276530743, lr = [5e-05] +[2024-05-25 04:09:16,401] - INFO: Epoch 6763/9999, Iter 338120: Loss = 0.017571760341525078, lr = [5e-05] +[2024-05-25 04:09:44,491] - INFO: Epoch 6763/9999, Iter 338140: Loss = 0.008282933384180069, lr = [5e-05] +[2024-05-25 04:10:13,663] - INFO: Epoch 6764/9999, Iter 338160: Loss = 0.01174856536090374, lr = [5e-05] +[2024-05-25 04:10:41,243] - INFO: Epoch 6764/9999, Iter 338180: Loss = 0.013813864439725876, lr = [5e-05] +[2024-05-25 04:11:10,007] - INFO: Epoch 6765/9999, Iter 338200: Loss = 0.009281475096940994, lr = [5e-05] +[2024-05-25 04:11:37,425] - INFO: Epoch 6765/9999, Iter 338220: Loss = 0.008341859094798565, lr = [5e-05] +[2024-05-25 04:12:05,559] - INFO: Epoch 6765/9999, Iter 338240: Loss = 0.012372416444122791, lr = [5e-05] +[2024-05-25 04:12:18,117] - INFO: Evaluate at epoch 6765! +[2024-05-25 04:12:22,137] - INFO: Eval PSNR (max): 38.065 (6755) SSIM (max): 0.9611 (5335) +[2024-05-25 04:12:22,137] - INFO: Eval PSNR (current): 38.033 (6765) SSIM (current): 0.9609 (6765) +[2024-05-25 04:12:22,137] - INFO: Evaluation over. +[2024-05-25 04:12:41,171] - INFO: Epoch 6766/9999, Iter 338260: Loss = 0.013310161419212818, lr = [5e-05] +[2024-05-25 04:13:09,286] - INFO: Epoch 6766/9999, Iter 338280: Loss = 0.009530610404908657, lr = [5e-05] +[2024-05-25 04:13:37,952] - INFO: Epoch 6767/9999, Iter 338300: Loss = 0.01308638509362936, lr = [5e-05] +[2024-05-25 04:14:04,831] - INFO: Epoch 6767/9999, Iter 338320: Loss = 0.01830971986055374, lr = [5e-05] +[2024-05-25 04:14:31,921] - INFO: Epoch 6767/9999, Iter 338340: Loss = 0.012076709419488907, lr = [5e-05] +[2024-05-25 04:15:01,409] - INFO: Epoch 6768/9999, Iter 338360: Loss = 0.013508729636669159, lr = [5e-05] +[2024-05-25 04:15:29,269] - INFO: Epoch 6768/9999, Iter 338380: Loss = 0.012378926388919353, lr = [5e-05] +[2024-05-25 04:15:58,313] - INFO: Epoch 6769/9999, Iter 338400: Loss = 0.01225394755601883, lr = [5e-05] +[2024-05-25 04:16:26,215] - INFO: Epoch 6769/9999, Iter 338420: Loss = 0.011977266520261765, lr = [5e-05] +[2024-05-25 04:16:52,990] - INFO: Epoch 6769/9999, Iter 338440: Loss = 0.016363516449928284, lr = [5e-05] +[2024-05-25 04:17:21,630] - INFO: Epoch 6770/9999, Iter 338460: Loss = 0.008921937085688114, lr = [5e-05] +[2024-05-25 04:17:48,961] - INFO: Epoch 6770/9999, Iter 338480: Loss = 0.009945042431354523, lr = [5e-05] +[2024-05-25 04:18:16,171] - INFO: Evaluate at epoch 6770! +[2024-05-25 04:18:20,284] - INFO: Eval PSNR (max): 38.065 (6755) SSIM (max): 0.9611 (5335) +[2024-05-25 04:18:20,285] - INFO: Eval PSNR (current): 38.006 (6770) SSIM (current): 0.9608 (6770) +[2024-05-25 04:18:20,285] - INFO: Evaluation over. +[2024-05-25 04:18:25,118] - INFO: Epoch 6771/9999, Iter 338500: Loss = 0.005702917464077473, lr = [5e-05] +[2024-05-25 04:18:53,470] - INFO: Epoch 6771/9999, Iter 338520: Loss = 0.0133536821231246, lr = [5e-05] +[2024-05-25 04:19:20,747] - INFO: Epoch 6771/9999, Iter 338540: Loss = 0.014360787346959114, lr = [5e-05] +[2024-05-25 04:19:49,263] - INFO: Epoch 6772/9999, Iter 338560: Loss = 0.009006346575915813, lr = [5e-05] +[2024-05-25 04:20:16,583] - INFO: Epoch 6772/9999, Iter 338580: Loss = 0.013543169014155865, lr = [5e-05] +[2024-05-25 04:20:45,471] - INFO: Epoch 6773/9999, Iter 338600: Loss = 0.01210072636604309, lr = [5e-05] +[2024-05-25 04:21:12,625] - INFO: Epoch 6773/9999, Iter 338620: Loss = 0.012160294689238071, lr = [5e-05] +[2024-05-25 04:21:39,730] - INFO: Epoch 6773/9999, Iter 338640: Loss = 0.014599630609154701, lr = [5e-05] +[2024-05-25 04:22:09,444] - INFO: Epoch 6774/9999, Iter 338660: Loss = 0.01142826583236456, lr = [5e-05] +[2024-05-25 04:22:38,151] - INFO: Epoch 6774/9999, Iter 338680: Loss = 0.014532778412103653, lr = [5e-05] +[2024-05-25 04:23:06,631] - INFO: Epoch 6775/9999, Iter 338700: Loss = 0.010087748058140278, lr = [5e-05] +[2024-05-25 04:23:35,179] - INFO: Epoch 6775/9999, Iter 338720: Loss = 0.015385539270937443, lr = [5e-05] +[2024-05-25 04:24:01,395] - INFO: Epoch 6775/9999, Iter 338740: Loss = 0.010788355953991413, lr = [5e-05] +[2024-05-25 04:24:14,054] - INFO: Evaluate at epoch 6775! +[2024-05-25 04:24:18,212] - INFO: Eval PSNR (max): 38.065 (6755) SSIM (max): 0.9611 (5335) +[2024-05-25 04:24:18,213] - INFO: Eval PSNR (current): 37.986 (6775) SSIM (current): 0.9610 (6775) +[2024-05-25 04:24:18,213] - INFO: Evaluation over. +[2024-05-25 04:24:36,791] - INFO: Epoch 6776/9999, Iter 338760: Loss = 0.012611346319317818, lr = [5e-05] +[2024-05-25 04:25:04,771] - INFO: Epoch 6776/9999, Iter 338780: Loss = 0.013295851647853851, lr = [5e-05] +[2024-05-25 04:25:33,527] - INFO: Epoch 6777/9999, Iter 338800: Loss = 0.013959042727947235, lr = [5e-05] +[2024-05-25 04:26:01,799] - INFO: Epoch 6777/9999, Iter 338820: Loss = 0.009711761958897114, lr = [5e-05] +[2024-05-25 04:26:29,755] - INFO: Epoch 6777/9999, Iter 338840: Loss = 0.006381337530910969, lr = [5e-05] +[2024-05-25 04:26:58,080] - INFO: Epoch 6778/9999, Iter 338860: Loss = 0.012370479293167591, lr = [5e-05] +[2024-05-25 04:27:25,911] - INFO: Epoch 6778/9999, Iter 338880: Loss = 0.008937661536037922, lr = [5e-05] +[2024-05-25 04:27:55,258] - INFO: Epoch 6779/9999, Iter 338900: Loss = 0.016715118661522865, lr = [5e-05] +[2024-05-25 04:28:22,806] - INFO: Epoch 6779/9999, Iter 338920: Loss = 0.01454547606408596, lr = [5e-05] +[2024-05-25 04:28:50,442] - INFO: Epoch 6779/9999, Iter 338940: Loss = 0.017321472987532616, lr = [5e-05] +[2024-05-25 04:29:19,954] - INFO: Epoch 6780/9999, Iter 338960: Loss = 0.009175430051982403, lr = [5e-05] +[2024-05-25 04:29:48,147] - INFO: Epoch 6780/9999, Iter 338980: Loss = 0.018825069069862366, lr = [5e-05] +[2024-05-25 04:30:13,832] - INFO: Evaluate at epoch 6780! +[2024-05-25 04:30:17,951] - INFO: Eval PSNR (max): 38.065 (6755) SSIM (max): 0.9611 (5335) +[2024-05-25 04:30:17,951] - INFO: Eval PSNR (current): 38.002 (6780) SSIM (current): 0.9609 (6780) +[2024-05-25 04:30:17,951] - INFO: Evaluation over. +[2024-05-25 04:30:22,451] - INFO: Epoch 6781/9999, Iter 339000: Loss = 0.012852704152464867, lr = [5e-05] +[2024-05-25 04:30:50,619] - INFO: Epoch 6781/9999, Iter 339020: Loss = 0.007144098170101643, lr = [5e-05] +[2024-05-25 04:31:18,321] - INFO: Epoch 6781/9999, Iter 339040: Loss = 0.014257467351853848, lr = [5e-05] +[2024-05-25 04:31:47,220] - INFO: Epoch 6782/9999, Iter 339060: Loss = 0.012443158775568008, lr = [5e-05] +[2024-05-25 04:32:15,729] - INFO: Epoch 6782/9999, Iter 339080: Loss = 0.02448144182562828, lr = [5e-05] +[2024-05-25 04:32:43,715] - INFO: Epoch 6783/9999, Iter 339100: Loss = 0.012720122933387756, lr = [5e-05] +[2024-05-25 04:33:10,883] - INFO: Epoch 6783/9999, Iter 339120: Loss = 0.011267474852502346, lr = [5e-05] +[2024-05-25 04:33:38,651] - INFO: Epoch 6783/9999, Iter 339140: Loss = 0.009477609768509865, lr = [5e-05] +[2024-05-25 04:34:07,699] - INFO: Epoch 6784/9999, Iter 339160: Loss = 0.009251285344362259, lr = [5e-05] +[2024-05-25 04:34:35,466] - INFO: Epoch 6784/9999, Iter 339180: Loss = 0.014865529723465443, lr = [5e-05] +[2024-05-25 04:35:04,791] - INFO: Epoch 6785/9999, Iter 339200: Loss = 0.0125760268419981, lr = [5e-05] +[2024-05-25 04:35:31,608] - INFO: Epoch 6785/9999, Iter 339220: Loss = 0.006793119478970766, lr = [5e-05] +[2024-05-25 04:35:59,403] - INFO: Epoch 6785/9999, Iter 339240: Loss = 0.011746102012693882, lr = [5e-05] +[2024-05-25 04:36:12,116] - INFO: Evaluate at epoch 6785! +[2024-05-25 04:36:16,232] - INFO: Eval PSNR (max): 38.065 (6755) SSIM (max): 0.9611 (5335) +[2024-05-25 04:36:16,232] - INFO: Eval PSNR (current): 38.011 (6785) SSIM (current): 0.9609 (6785) +[2024-05-25 04:36:16,232] - INFO: Evaluation over. +[2024-05-25 04:36:35,120] - INFO: Epoch 6786/9999, Iter 339260: Loss = 0.019318727776408195, lr = [5e-05] +[2024-05-25 04:37:01,951] - INFO: Epoch 6786/9999, Iter 339280: Loss = 0.008112979121506214, lr = [5e-05] +[2024-05-25 04:37:30,590] - INFO: Epoch 6787/9999, Iter 339300: Loss = 0.013483221642673016, lr = [5e-05] +[2024-05-25 04:37:58,652] - INFO: Epoch 6787/9999, Iter 339320: Loss = 0.01422133855521679, lr = [5e-05] +[2024-05-25 04:38:26,251] - INFO: Epoch 6787/9999, Iter 339340: Loss = 0.012647329829633236, lr = [5e-05] +[2024-05-25 04:38:54,867] - INFO: Epoch 6788/9999, Iter 339360: Loss = 0.015091548673808575, lr = [5e-05] +[2024-05-25 04:39:23,139] - INFO: Epoch 6788/9999, Iter 339380: Loss = 0.01695721410214901, lr = [5e-05] +[2024-05-25 04:39:52,439] - INFO: Epoch 6789/9999, Iter 339400: Loss = 0.015351814217865467, lr = [5e-05] +[2024-05-25 04:40:19,075] - INFO: Epoch 6789/9999, Iter 339420: Loss = 0.006258221343159676, lr = [5e-05] +[2024-05-25 04:40:46,275] - INFO: Epoch 6789/9999, Iter 339440: Loss = 0.012909933924674988, lr = [5e-05] +[2024-05-25 04:41:15,953] - INFO: Epoch 6790/9999, Iter 339460: Loss = 0.011305343359708786, lr = [5e-05] +[2024-05-25 04:41:42,679] - INFO: Epoch 6790/9999, Iter 339480: Loss = 0.010646208189427853, lr = [5e-05] +[2024-05-25 04:42:08,307] - INFO: Evaluate at epoch 6790! +[2024-05-25 04:42:12,290] - INFO: Eval PSNR (max): 38.065 (6755) SSIM (max): 0.9611 (5335) +[2024-05-25 04:42:12,291] - INFO: Eval PSNR (current): 37.995 (6790) SSIM (current): 0.9609 (6790) +[2024-05-25 04:42:12,291] - INFO: Evaluation over. +[2024-05-25 04:42:16,621] - INFO: Epoch 6791/9999, Iter 339500: Loss = 0.014564604498445988, lr = [5e-05] +[2024-05-25 04:42:43,800] - INFO: Epoch 6791/9999, Iter 339520: Loss = 0.014222112484276295, lr = [5e-05] +[2024-05-25 04:43:10,500] - INFO: Epoch 6791/9999, Iter 339540: Loss = 0.014646900817751884, lr = [5e-05] +[2024-05-25 04:43:39,751] - INFO: Epoch 6792/9999, Iter 339560: Loss = 0.014508547261357307, lr = [5e-05] +[2024-05-25 04:44:08,247] - INFO: Epoch 6792/9999, Iter 339580: Loss = 0.011248747818171978, lr = [5e-05] +[2024-05-25 04:44:36,986] - INFO: Epoch 6793/9999, Iter 339600: Loss = 0.013550795614719391, lr = [5e-05] +[2024-05-25 04:45:04,583] - INFO: Epoch 6793/9999, Iter 339620: Loss = 0.01706160418689251, lr = [5e-05] +[2024-05-25 04:45:33,131] - INFO: Epoch 6793/9999, Iter 339640: Loss = 0.013690881431102753, lr = [5e-05] +[2024-05-25 04:46:02,207] - INFO: Epoch 6794/9999, Iter 339660: Loss = 0.013024626299738884, lr = [5e-05] +[2024-05-25 04:46:30,541] - INFO: Epoch 6794/9999, Iter 339680: Loss = 0.012029415927827358, lr = [5e-05] +[2024-05-25 04:46:59,487] - INFO: Epoch 6795/9999, Iter 339700: Loss = 0.01061153132468462, lr = [5e-05] +[2024-05-25 04:47:27,639] - INFO: Epoch 6795/9999, Iter 339720: Loss = 0.0131533807143569, lr = [5e-05] +[2024-05-25 04:47:55,852] - INFO: Epoch 6795/9999, Iter 339740: Loss = 0.018088269978761673, lr = [5e-05] +[2024-05-25 04:48:07,888] - INFO: Evaluate at epoch 6795! +[2024-05-25 04:48:11,887] - INFO: Eval PSNR (max): 38.065 (6755) SSIM (max): 0.9611 (5335) +[2024-05-25 04:48:11,887] - INFO: Eval PSNR (current): 38.038 (6795) SSIM (current): 0.9609 (6795) +[2024-05-25 04:48:11,887] - INFO: Evaluation over. +[2024-05-25 04:48:30,235] - INFO: Epoch 6796/9999, Iter 339760: Loss = 0.011723281815648079, lr = [5e-05] +[2024-05-25 04:48:58,705] - INFO: Epoch 6796/9999, Iter 339780: Loss = 0.015506026335060596, lr = [5e-05] +[2024-05-25 04:49:28,048] - INFO: Epoch 6797/9999, Iter 339800: Loss = 0.015427598729729652, lr = [5e-05] +[2024-05-25 04:49:55,564] - INFO: Epoch 6797/9999, Iter 339820: Loss = 0.011632944457232952, lr = [5e-05] +[2024-05-25 04:50:23,153] - INFO: Epoch 6797/9999, Iter 339840: Loss = 0.0114072784781456, lr = [5e-05] +[2024-05-25 04:50:52,007] - INFO: Epoch 6798/9999, Iter 339860: Loss = 0.013258559629321098, lr = [5e-05] +[2024-05-25 04:51:19,025] - INFO: Epoch 6798/9999, Iter 339880: Loss = 0.02144203521311283, lr = [5e-05] +[2024-05-25 04:51:48,080] - INFO: Epoch 6799/9999, Iter 339900: Loss = 0.016960933804512024, lr = [5e-05] +[2024-05-25 04:52:16,805] - INFO: Epoch 6799/9999, Iter 339920: Loss = 0.010616649873554707, lr = [5e-05] +[2024-05-25 04:52:44,071] - INFO: Epoch 6799/9999, Iter 339940: Loss = 0.01221049576997757, lr = [5e-05] +[2024-05-25 04:53:13,367] - INFO: Epoch 6800/9999, Iter 339960: Loss = 0.014056826010346413, lr = [5e-05] +[2024-05-25 04:53:41,347] - INFO: Epoch 6800/9999, Iter 339980: Loss = 0.0073508997447788715, lr = [5e-05] +[2024-05-25 04:54:07,918] - INFO: Evaluate at epoch 6800! +[2024-05-25 04:54:11,974] - INFO: Eval PSNR (max): 38.065 (6755) SSIM (max): 0.9611 (5335) +[2024-05-25 04:54:11,974] - INFO: Eval PSNR (current): 38.031 (6800) SSIM (current): 0.9609 (6800) +[2024-05-25 04:54:11,974] - INFO: Evaluation over. +[2024-05-25 04:54:16,424] - INFO: Epoch 6801/9999, Iter 340000: Loss = 0.012228981591761112, lr = [5e-05] +[2024-05-25 04:54:44,075] - INFO: Epoch 6801/9999, Iter 340020: Loss = 0.009909146465361118, lr = [5e-05] +[2024-05-25 04:55:11,059] - INFO: Epoch 6801/9999, Iter 340040: Loss = 0.013436991721391678, lr = [5e-05] +[2024-05-25 04:55:39,929] - INFO: Epoch 6802/9999, Iter 340060: Loss = 0.012079318054020405, lr = [5e-05] +[2024-05-25 04:56:08,554] - INFO: Epoch 6802/9999, Iter 340080: Loss = 0.009535429999232292, lr = [5e-05] +[2024-05-25 04:56:37,675] - INFO: Epoch 6803/9999, Iter 340100: Loss = 0.01246555894613266, lr = [5e-05] +[2024-05-25 04:57:04,962] - INFO: Epoch 6803/9999, Iter 340120: Loss = 0.012218547984957695, lr = [5e-05] +[2024-05-25 04:57:32,139] - INFO: Epoch 6803/9999, Iter 340140: Loss = 0.016936322674155235, lr = [5e-05] +[2024-05-25 04:58:01,291] - INFO: Epoch 6804/9999, Iter 340160: Loss = 0.015319973230361938, lr = [5e-05] +[2024-05-25 04:58:28,431] - INFO: Epoch 6804/9999, Iter 340180: Loss = 0.010718679055571556, lr = [5e-05] +[2024-05-25 04:58:56,772] - INFO: Epoch 6805/9999, Iter 340200: Loss = 0.011936427094042301, lr = [5e-05] +[2024-05-25 04:59:24,887] - INFO: Epoch 6805/9999, Iter 340220: Loss = 0.009760853834450245, lr = [5e-05] +[2024-05-25 04:59:53,209] - INFO: Epoch 6805/9999, Iter 340240: Loss = 0.01241797674447298, lr = [5e-05] +[2024-05-25 05:00:05,217] - INFO: Evaluate at epoch 6805! +[2024-05-25 05:00:09,250] - INFO: Eval PSNR (max): 38.065 (6755) SSIM (max): 0.9611 (5335) +[2024-05-25 05:00:09,250] - INFO: Eval PSNR (current): 38.049 (6805) SSIM (current): 0.9610 (6805) +[2024-05-25 05:00:09,250] - INFO: Evaluation over. +[2024-05-25 05:00:27,427] - INFO: Epoch 6806/9999, Iter 340260: Loss = 0.01763186790049076, lr = [5e-05] +[2024-05-25 05:00:54,063] - INFO: Epoch 6806/9999, Iter 340280: Loss = 0.010505503974854946, lr = [5e-05] +[2024-05-25 05:01:23,884] - INFO: Epoch 6807/9999, Iter 340300: Loss = 0.015467784367501736, lr = [5e-05] +[2024-05-25 05:01:51,923] - INFO: Epoch 6807/9999, Iter 340320: Loss = 0.008282995782792568, lr = [5e-05] +[2024-05-25 05:02:18,932] - INFO: Epoch 6807/9999, Iter 340340: Loss = 0.00879583228379488, lr = [5e-05] +[2024-05-25 05:02:48,479] - INFO: Epoch 6808/9999, Iter 340360: Loss = 0.014620034955441952, lr = [5e-05] +[2024-05-25 05:03:16,626] - INFO: Epoch 6808/9999, Iter 340380: Loss = 0.016101671382784843, lr = [5e-05] +[2024-05-25 05:03:45,755] - INFO: Epoch 6809/9999, Iter 340400: Loss = 0.015887370333075523, lr = [5e-05] +[2024-05-25 05:04:13,451] - INFO: Epoch 6809/9999, Iter 340420: Loss = 0.01627395488321781, lr = [5e-05] +[2024-05-25 05:04:41,351] - INFO: Epoch 6809/9999, Iter 340440: Loss = 0.010115902870893478, lr = [5e-05] +[2024-05-25 05:05:11,043] - INFO: Epoch 6810/9999, Iter 340460: Loss = 0.01203483808785677, lr = [5e-05] +[2024-05-25 05:05:39,087] - INFO: Epoch 6810/9999, Iter 340480: Loss = 0.013084995560348034, lr = [5e-05] +[2024-05-25 05:06:05,237] - INFO: Evaluate at epoch 6810! +[2024-05-25 05:06:09,266] - INFO: Eval PSNR (max): 38.065 (6755) SSIM (max): 0.9611 (5335) +[2024-05-25 05:06:09,266] - INFO: Eval PSNR (current): 38.052 (6810) SSIM (current): 0.9610 (6810) +[2024-05-25 05:06:09,266] - INFO: Evaluation over. +[2024-05-25 05:06:13,583] - INFO: Epoch 6811/9999, Iter 340500: Loss = 0.013729793019592762, lr = [5e-05] +[2024-05-25 05:06:41,254] - INFO: Epoch 6811/9999, Iter 340520: Loss = 0.012833827175199986, lr = [5e-05] +[2024-05-25 05:07:09,018] - INFO: Epoch 6811/9999, Iter 340540: Loss = 0.01454408559948206, lr = [5e-05] +[2024-05-25 05:07:38,387] - INFO: Epoch 6812/9999, Iter 340560: Loss = 0.01594873145222664, lr = [5e-05] +[2024-05-25 05:08:06,586] - INFO: Epoch 6812/9999, Iter 340580: Loss = 0.014838196337223053, lr = [5e-05] +[2024-05-25 05:08:35,575] - INFO: Epoch 6813/9999, Iter 340600: Loss = 0.015088483691215515, lr = [5e-05] +[2024-05-25 05:09:03,074] - INFO: Epoch 6813/9999, Iter 340620: Loss = 0.010718767531216145, lr = [5e-05] +[2024-05-25 05:09:31,382] - INFO: Epoch 6813/9999, Iter 340640: Loss = 0.013628101907670498, lr = [5e-05] +[2024-05-25 05:09:59,959] - INFO: Epoch 6814/9999, Iter 340660: Loss = 0.013423055410385132, lr = [5e-05] +[2024-05-25 05:10:27,857] - INFO: Epoch 6814/9999, Iter 340680: Loss = 0.01064389105886221, lr = [5e-05] +[2024-05-25 05:10:57,279] - INFO: Epoch 6815/9999, Iter 340700: Loss = 0.012190638110041618, lr = [5e-05] +[2024-05-25 05:11:24,637] - INFO: Epoch 6815/9999, Iter 340720: Loss = 0.014131294563412666, lr = [5e-05] +[2024-05-25 05:11:51,894] - INFO: Epoch 6815/9999, Iter 340740: Loss = 0.012873206287622452, lr = [5e-05] +[2024-05-25 05:12:04,380] - INFO: Evaluate at epoch 6815! +[2024-05-25 05:12:08,406] - INFO: Eval PSNR (max): 38.065 (6755) SSIM (max): 0.9611 (5335) +[2024-05-25 05:12:08,407] - INFO: Eval PSNR (current): 38.012 (6815) SSIM (current): 0.9608 (6815) +[2024-05-25 05:12:08,407] - INFO: Evaluation over. +[2024-05-25 05:12:27,228] - INFO: Epoch 6816/9999, Iter 340760: Loss = 0.014059634879231453, lr = [5e-05] +[2024-05-25 05:12:54,471] - INFO: Epoch 6816/9999, Iter 340780: Loss = 0.01853153482079506, lr = [5e-05] +[2024-05-25 05:13:22,924] - INFO: Epoch 6817/9999, Iter 340800: Loss = 0.012773598544299603, lr = [5e-05] +[2024-05-25 05:13:51,137] - INFO: Epoch 6817/9999, Iter 340820: Loss = 0.01583966799080372, lr = [5e-05] +[2024-05-25 05:14:19,567] - INFO: Epoch 6817/9999, Iter 340840: Loss = 0.012919272296130657, lr = [5e-05] +[2024-05-25 05:14:47,914] - INFO: Epoch 6818/9999, Iter 340860: Loss = 0.014454693533480167, lr = [5e-05] +[2024-05-25 05:15:15,834] - INFO: Epoch 6818/9999, Iter 340880: Loss = 0.00695129856467247, lr = [5e-05] +[2024-05-25 05:15:45,328] - INFO: Epoch 6819/9999, Iter 340900: Loss = 0.015944667160511017, lr = [5e-05] +[2024-05-25 05:16:13,111] - INFO: Epoch 6819/9999, Iter 340920: Loss = 0.014507431536912918, lr = [5e-05] +[2024-05-25 05:16:40,295] - INFO: Epoch 6819/9999, Iter 340940: Loss = 0.014991343021392822, lr = [5e-05] +[2024-05-25 05:17:09,455] - INFO: Epoch 6820/9999, Iter 340960: Loss = 0.018198275938630104, lr = [5e-05] +[2024-05-25 05:17:37,311] - INFO: Epoch 6820/9999, Iter 340980: Loss = 0.01126931793987751, lr = [5e-05] +[2024-05-25 05:18:03,686] - INFO: Evaluate at epoch 6820! +[2024-05-25 05:18:07,706] - INFO: Eval PSNR (max): 38.065 (6755) SSIM (max): 0.9611 (5335) +[2024-05-25 05:18:07,706] - INFO: Eval PSNR (current): 38.040 (6820) SSIM (current): 0.9610 (6820) +[2024-05-25 05:18:07,707] - INFO: Evaluation over. +[2024-05-25 05:18:12,760] - INFO: Epoch 6821/9999, Iter 341000: Loss = 0.018696952611207962, lr = [5e-05] +[2024-05-25 05:18:40,745] - INFO: Epoch 6821/9999, Iter 341020: Loss = 0.018841411918401718, lr = [5e-05] +[2024-05-25 05:19:07,361] - INFO: Epoch 6821/9999, Iter 341040: Loss = 0.014944888651371002, lr = [5e-05] +[2024-05-25 05:19:36,653] - INFO: Epoch 6822/9999, Iter 341060: Loss = 0.01329091377556324, lr = [5e-05] +[2024-05-25 05:20:04,687] - INFO: Epoch 6822/9999, Iter 341080: Loss = 0.017220575362443924, lr = [5e-05] +[2024-05-25 05:20:34,115] - INFO: Epoch 6823/9999, Iter 341100: Loss = 0.013760305941104889, lr = [5e-05] +[2024-05-25 05:21:01,262] - INFO: Epoch 6823/9999, Iter 341120: Loss = 0.011227965354919434, lr = [5e-05] +[2024-05-25 05:21:29,955] - INFO: Epoch 6823/9999, Iter 341140: Loss = 0.014507807791233063, lr = [5e-05] +[2024-05-25 05:21:58,418] - INFO: Epoch 6824/9999, Iter 341160: Loss = 0.016242172569036484, lr = [5e-05] +[2024-05-25 05:22:27,037] - INFO: Epoch 6824/9999, Iter 341180: Loss = 0.009773951955139637, lr = [5e-05] +[2024-05-25 05:22:55,916] - INFO: Epoch 6825/9999, Iter 341200: Loss = 0.02470690943300724, lr = [5e-05] +[2024-05-25 05:23:23,171] - INFO: Epoch 6825/9999, Iter 341220: Loss = 0.01265789195895195, lr = [5e-05] +[2024-05-25 05:23:50,539] - INFO: Epoch 6825/9999, Iter 341240: Loss = 0.01138800848275423, lr = [5e-05] +[2024-05-25 05:24:02,511] - INFO: Evaluate at epoch 6825! +[2024-05-25 05:24:06,533] - INFO: Eval PSNR (max): 38.065 (6755) SSIM (max): 0.9611 (5335) +[2024-05-25 05:24:06,533] - INFO: Eval PSNR (current): 38.031 (6825) SSIM (current): 0.9610 (6825) +[2024-05-25 05:24:06,533] - INFO: Evaluation over. +[2024-05-25 05:24:24,277] - INFO: Epoch 6826/9999, Iter 341260: Loss = 0.010082974098622799, lr = [5e-05] +[2024-05-25 05:24:52,867] - INFO: Epoch 6826/9999, Iter 341280: Loss = 0.009275148622691631, lr = [5e-05] +[2024-05-25 05:25:21,124] - INFO: Epoch 6827/9999, Iter 341300: Loss = 0.011771447025239468, lr = [5e-05] +[2024-05-25 05:25:48,791] - INFO: Epoch 6827/9999, Iter 341320: Loss = 0.011768130585551262, lr = [5e-05] +[2024-05-25 05:26:16,639] - INFO: Epoch 6827/9999, Iter 341340: Loss = 0.013330566696822643, lr = [5e-05] +[2024-05-25 05:26:46,012] - INFO: Epoch 6828/9999, Iter 341360: Loss = 0.013285738416016102, lr = [5e-05] +[2024-05-25 05:27:13,530] - INFO: Epoch 6828/9999, Iter 341380: Loss = 0.017597435042262077, lr = [5e-05] +[2024-05-25 05:27:42,995] - INFO: Epoch 6829/9999, Iter 341400: Loss = 0.011897623538970947, lr = [5e-05] +[2024-05-25 05:28:11,294] - INFO: Epoch 6829/9999, Iter 341420: Loss = 0.01332031562924385, lr = [5e-05] +[2024-05-25 05:28:39,995] - INFO: Epoch 6829/9999, Iter 341440: Loss = 0.014513266272842884, lr = [5e-05] +[2024-05-25 05:29:08,486] - INFO: Epoch 6830/9999, Iter 341460: Loss = 0.009666708298027515, lr = [5e-05] +[2024-05-25 05:29:35,745] - INFO: Epoch 6830/9999, Iter 341480: Loss = 0.015164763666689396, lr = [5e-05] +[2024-05-25 05:30:02,011] - INFO: Evaluate at epoch 6830! +[2024-05-25 05:30:06,030] - INFO: Eval PSNR (max): 38.065 (6755) SSIM (max): 0.9611 (5335) +[2024-05-25 05:30:06,030] - INFO: Eval PSNR (current): 38.007 (6830) SSIM (current): 0.9609 (6830) +[2024-05-25 05:30:06,030] - INFO: Evaluation over. +[2024-05-25 05:30:10,771] - INFO: Epoch 6831/9999, Iter 341500: Loss = 0.010472805239260197, lr = [5e-05] +[2024-05-25 05:30:38,110] - INFO: Epoch 6831/9999, Iter 341520: Loss = 0.012377820909023285, lr = [5e-05] +[2024-05-25 05:31:06,335] - INFO: Epoch 6831/9999, Iter 341540: Loss = 0.012804724276065826, lr = [5e-05] +[2024-05-25 05:31:35,228] - INFO: Epoch 6832/9999, Iter 341560: Loss = 0.012649019248783588, lr = [5e-05] +[2024-05-25 05:32:02,676] - INFO: Epoch 6832/9999, Iter 341580: Loss = 0.011859163641929626, lr = [5e-05] +[2024-05-25 05:32:31,213] - INFO: Epoch 6833/9999, Iter 341600: Loss = 0.01193841453641653, lr = [5e-05] +[2024-05-25 05:32:59,347] - INFO: Epoch 6833/9999, Iter 341620: Loss = 0.006664975080639124, lr = [5e-05] +[2024-05-25 05:33:27,085] - INFO: Epoch 6833/9999, Iter 341640: Loss = 0.014018713496625423, lr = [5e-05] +[2024-05-25 05:33:56,067] - INFO: Epoch 6834/9999, Iter 341660: Loss = 0.01066504791378975, lr = [5e-05] +[2024-05-25 05:34:23,451] - INFO: Epoch 6834/9999, Iter 341680: Loss = 0.011085362173616886, lr = [5e-05] +[2024-05-25 05:34:51,836] - INFO: Epoch 6835/9999, Iter 341700: Loss = 0.009830987080931664, lr = [5e-05] +[2024-05-25 05:35:20,279] - INFO: Epoch 6835/9999, Iter 341720: Loss = 0.007303852587938309, lr = [5e-05] +[2024-05-25 05:35:47,591] - INFO: Epoch 6835/9999, Iter 341740: Loss = 0.014937708154320717, lr = [5e-05] +[2024-05-25 05:36:00,118] - INFO: Evaluate at epoch 6835! +[2024-05-25 05:36:04,141] - INFO: Eval PSNR (max): 38.065 (6755) SSIM (max): 0.9611 (5335) +[2024-05-25 05:36:04,141] - INFO: Eval PSNR (current): 38.053 (6835) SSIM (current): 0.9610 (6835) +[2024-05-25 05:36:04,142] - INFO: Evaluation over. +[2024-05-25 05:36:22,208] - INFO: Epoch 6836/9999, Iter 341760: Loss = 0.014857868663966656, lr = [5e-05] +[2024-05-25 05:36:50,628] - INFO: Epoch 6836/9999, Iter 341780: Loss = 0.008983294479548931, lr = [5e-05] +[2024-05-25 05:37:19,874] - INFO: Epoch 6837/9999, Iter 341800: Loss = 0.014500731602311134, lr = [5e-05] +[2024-05-25 05:37:48,003] - INFO: Epoch 6837/9999, Iter 341820: Loss = 0.014592301100492477, lr = [5e-05] +[2024-05-25 05:38:15,555] - INFO: Epoch 6837/9999, Iter 341840: Loss = 0.014306269586086273, lr = [5e-05] +[2024-05-25 05:38:43,859] - INFO: Epoch 6838/9999, Iter 341860: Loss = 0.012328184209764004, lr = [5e-05] +[2024-05-25 05:39:11,131] - INFO: Epoch 6838/9999, Iter 341880: Loss = 0.010666695423424244, lr = [5e-05] +[2024-05-25 05:39:40,275] - INFO: Epoch 6839/9999, Iter 341900: Loss = 0.015733787789940834, lr = [5e-05] +[2024-05-25 05:40:07,171] - INFO: Epoch 6839/9999, Iter 341920: Loss = 0.012989574111998081, lr = [5e-05] +[2024-05-25 05:40:34,360] - INFO: Epoch 6839/9999, Iter 341940: Loss = 0.01068465132266283, lr = [5e-05] +[2024-05-25 05:41:03,095] - INFO: Epoch 6840/9999, Iter 341960: Loss = 0.01334017887711525, lr = [5e-05] +[2024-05-25 05:41:31,166] - INFO: Epoch 6840/9999, Iter 341980: Loss = 0.013052673079073429, lr = [5e-05] +[2024-05-25 05:41:57,153] - INFO: Evaluate at epoch 6840! +[2024-05-25 05:42:01,174] - INFO: Eval PSNR (max): 38.065 (6755) SSIM (max): 0.9611 (5335) +[2024-05-25 05:42:01,174] - INFO: Eval PSNR (current): 38.050 (6840) SSIM (current): 0.9610 (6840) +[2024-05-25 05:42:01,174] - INFO: Evaluation over. +[2024-05-25 05:42:05,539] - INFO: Epoch 6841/9999, Iter 342000: Loss = 0.012721688486635685, lr = [5e-05] +[2024-05-25 05:42:33,754] - INFO: Epoch 6841/9999, Iter 342020: Loss = 0.008757497183978558, lr = [5e-05] +[2024-05-25 05:43:01,551] - INFO: Epoch 6841/9999, Iter 342040: Loss = 0.017296699807047844, lr = [5e-05] +[2024-05-25 05:43:30,526] - INFO: Epoch 6842/9999, Iter 342060: Loss = 0.012355946004390717, lr = [5e-05] +[2024-05-25 05:43:57,986] - INFO: Epoch 6842/9999, Iter 342080: Loss = 0.011890696361660957, lr = [5e-05] +[2024-05-25 05:44:27,056] - INFO: Epoch 6843/9999, Iter 342100: Loss = 0.014563025906682014, lr = [5e-05] +[2024-05-25 05:44:54,203] - INFO: Epoch 6843/9999, Iter 342120: Loss = 0.0130019411444664, lr = [5e-05] +[2024-05-25 05:45:21,107] - INFO: Epoch 6843/9999, Iter 342140: Loss = 0.012794364243745804, lr = [5e-05] +[2024-05-25 05:45:50,162] - INFO: Epoch 6844/9999, Iter 342160: Loss = 0.015590572729706764, lr = [5e-05] +[2024-05-25 05:46:17,948] - INFO: Epoch 6844/9999, Iter 342180: Loss = 0.01804492622613907, lr = [5e-05] +[2024-05-25 05:46:47,388] - INFO: Epoch 6845/9999, Iter 342200: Loss = 0.014463363215327263, lr = [5e-05] +[2024-05-25 05:47:14,915] - INFO: Epoch 6845/9999, Iter 342220: Loss = 0.014866611920297146, lr = [5e-05] +[2024-05-25 05:47:42,199] - INFO: Epoch 6845/9999, Iter 342240: Loss = 0.0186009518802166, lr = [5e-05] +[2024-05-25 05:47:54,334] - INFO: Evaluate at epoch 6845! +[2024-05-25 05:47:58,346] - INFO: Eval PSNR (max): 38.065 (6755) SSIM (max): 0.9611 (5335) +[2024-05-25 05:47:58,346] - INFO: Eval PSNR (current): 38.046 (6845) SSIM (current): 0.9610 (6845) +[2024-05-25 05:47:58,346] - INFO: Evaluation over. +[2024-05-25 05:48:16,923] - INFO: Epoch 6846/9999, Iter 342260: Loss = 0.013501130044460297, lr = [5e-05] +[2024-05-25 05:48:44,159] - INFO: Epoch 6846/9999, Iter 342280: Loss = 0.01744830422103405, lr = [5e-05] +[2024-05-25 05:49:12,207] - INFO: Epoch 6847/9999, Iter 342300: Loss = 0.012211667373776436, lr = [5e-05] +[2024-05-25 05:49:39,041] - INFO: Epoch 6847/9999, Iter 342320: Loss = 0.013761315494775772, lr = [5e-05] +[2024-05-25 05:50:07,327] - INFO: Epoch 6847/9999, Iter 342340: Loss = 0.013470780104398727, lr = [5e-05] +[2024-05-25 05:50:36,547] - INFO: Epoch 6848/9999, Iter 342360: Loss = 0.013627994805574417, lr = [5e-05] +[2024-05-25 05:51:03,533] - INFO: Epoch 6848/9999, Iter 342380: Loss = 0.014312355779111385, lr = [5e-05] +[2024-05-25 05:51:32,308] - INFO: Epoch 6849/9999, Iter 342400: Loss = 0.01277099922299385, lr = [5e-05] +[2024-05-25 05:52:00,369] - INFO: Epoch 6849/9999, Iter 342420: Loss = 0.006865111645311117, lr = [5e-05] +[2024-05-25 05:52:27,874] - INFO: Epoch 6849/9999, Iter 342440: Loss = 0.008067429065704346, lr = [5e-05] +[2024-05-25 05:52:57,410] - INFO: Epoch 6850/9999, Iter 342460: Loss = 0.009468845091760159, lr = [5e-05] +[2024-05-25 05:53:25,205] - INFO: Epoch 6850/9999, Iter 342480: Loss = 0.016946161165833473, lr = [5e-05] +[2024-05-25 05:53:51,587] - INFO: Evaluate at epoch 6850! +[2024-05-25 05:53:55,603] - INFO: Eval PSNR (max): 38.065 (6755) SSIM (max): 0.9611 (5335) +[2024-05-25 05:53:55,603] - INFO: Eval PSNR (current): 38.029 (6850) SSIM (current): 0.9610 (6850) +[2024-05-25 05:53:55,603] - INFO: Evaluation over. +[2024-05-25 05:54:00,023] - INFO: Epoch 6851/9999, Iter 342500: Loss = 0.01739686354994774, lr = [5e-05] +[2024-05-25 05:54:27,927] - INFO: Epoch 6851/9999, Iter 342520: Loss = 0.013975576497614384, lr = [5e-05] +[2024-05-25 05:54:54,142] - INFO: Epoch 6851/9999, Iter 342540: Loss = 0.009801817126572132, lr = [5e-05] +[2024-05-25 05:55:23,718] - INFO: Epoch 6852/9999, Iter 342560: Loss = 0.012784145772457123, lr = [5e-05] +[2024-05-25 05:55:51,019] - INFO: Epoch 6852/9999, Iter 342580: Loss = 0.015227658674120903, lr = [5e-05] +[2024-05-25 05:56:20,367] - INFO: Epoch 6853/9999, Iter 342600: Loss = 0.0142524940893054, lr = [5e-05] +[2024-05-25 05:56:48,574] - INFO: Epoch 6853/9999, Iter 342620: Loss = 0.01027932483702898, lr = [5e-05] +[2024-05-25 05:57:17,059] - INFO: Epoch 6853/9999, Iter 342640: Loss = 0.013623738661408424, lr = [5e-05] +[2024-05-25 05:57:45,079] - INFO: Epoch 6854/9999, Iter 342660: Loss = 0.010193723253905773, lr = [5e-05] +[2024-05-25 05:58:12,207] - INFO: Epoch 6854/9999, Iter 342680: Loss = 0.012067739851772785, lr = [5e-05] +[2024-05-25 05:58:41,799] - INFO: Epoch 6855/9999, Iter 342700: Loss = 0.02353895641863346, lr = [5e-05] +[2024-05-25 05:59:09,235] - INFO: Epoch 6855/9999, Iter 342720: Loss = 0.00842777919024229, lr = [5e-05] +[2024-05-25 05:59:35,922] - INFO: Epoch 6855/9999, Iter 342740: Loss = 0.016490377485752106, lr = [5e-05] +[2024-05-25 05:59:48,294] - INFO: Evaluate at epoch 6855! +[2024-05-25 05:59:52,292] - INFO: Eval PSNR (max): 38.065 (6755) SSIM (max): 0.9611 (5335) +[2024-05-25 05:59:52,293] - INFO: Eval PSNR (current): 38.061 (6855) SSIM (current): 0.9609 (6855) +[2024-05-25 05:59:52,293] - INFO: Evaluation over. +[2024-05-25 06:00:10,578] - INFO: Epoch 6856/9999, Iter 342760: Loss = 0.013736416585743427, lr = [5e-05] +[2024-05-25 06:00:38,758] - INFO: Epoch 6856/9999, Iter 342780: Loss = 0.01136090885847807, lr = [5e-05] +[2024-05-25 06:01:07,348] - INFO: Epoch 6857/9999, Iter 342800: Loss = 0.012052041478455067, lr = [5e-05] +[2024-05-25 06:01:36,170] - INFO: Epoch 6857/9999, Iter 342820: Loss = 0.00981550570577383, lr = [5e-05] +[2024-05-25 06:02:04,288] - INFO: Epoch 6857/9999, Iter 342840: Loss = 0.009072531014680862, lr = [5e-05] +[2024-05-25 06:02:32,722] - INFO: Epoch 6858/9999, Iter 342860: Loss = 0.007917557843029499, lr = [5e-05] +[2024-05-25 06:03:00,091] - INFO: Epoch 6858/9999, Iter 342880: Loss = 0.015113447792828083, lr = [5e-05] +[2024-05-25 06:03:28,688] - INFO: Epoch 6859/9999, Iter 342900: Loss = 0.012248635292053223, lr = [5e-05] +[2024-05-25 06:03:57,315] - INFO: Epoch 6859/9999, Iter 342920: Loss = 0.01763390190899372, lr = [5e-05] +[2024-05-25 06:04:25,112] - INFO: Epoch 6859/9999, Iter 342940: Loss = 0.015422063879668713, lr = [5e-05] +[2024-05-25 06:04:53,796] - INFO: Epoch 6860/9999, Iter 342960: Loss = 0.011184800416231155, lr = [5e-05] +[2024-05-25 06:05:20,549] - INFO: Epoch 6860/9999, Iter 342980: Loss = 0.014165452681481838, lr = [5e-05] +[2024-05-25 06:05:46,938] - INFO: Evaluate at epoch 6860! +[2024-05-25 06:05:50,953] - INFO: Eval PSNR (max): 38.065 (6755) SSIM (max): 0.9611 (5335) +[2024-05-25 06:05:50,953] - INFO: Eval PSNR (current): 38.052 (6860) SSIM (current): 0.9610 (6860) +[2024-05-25 06:05:50,953] - INFO: Evaluation over. +[2024-05-25 06:05:55,548] - INFO: Epoch 6861/9999, Iter 343000: Loss = 0.010440518148243427, lr = [5e-05] +[2024-05-25 06:06:22,694] - INFO: Epoch 6861/9999, Iter 343020: Loss = 0.010451794601976871, lr = [5e-05] +[2024-05-25 06:06:49,823] - INFO: Epoch 6861/9999, Iter 343040: Loss = 0.009684373624622822, lr = [5e-05] +[2024-05-25 06:07:19,483] - INFO: Epoch 6862/9999, Iter 343060: Loss = 0.014740759506821632, lr = [5e-05] +[2024-05-25 06:07:47,368] - INFO: Epoch 6862/9999, Iter 343080: Loss = 0.016957653686404228, lr = [5e-05] +[2024-05-25 06:08:16,175] - INFO: Epoch 6863/9999, Iter 343100: Loss = 0.012803159654140472, lr = [5e-05] +[2024-05-25 06:08:43,534] - INFO: Epoch 6863/9999, Iter 343120: Loss = 0.012522405944764614, lr = [5e-05] +[2024-05-25 06:09:10,923] - INFO: Epoch 6863/9999, Iter 343140: Loss = 0.014806137420237064, lr = [5e-05] +[2024-05-25 06:09:40,471] - INFO: Epoch 6864/9999, Iter 343160: Loss = 0.010961366817355156, lr = [5e-05] +[2024-05-25 06:10:08,789] - INFO: Epoch 6864/9999, Iter 343180: Loss = 0.008914979174733162, lr = [5e-05] +[2024-05-25 06:10:37,344] - INFO: Epoch 6865/9999, Iter 343200: Loss = 0.015736110508441925, lr = [5e-05] +[2024-05-25 06:11:04,899] - INFO: Epoch 6865/9999, Iter 343220: Loss = 0.01949433982372284, lr = [5e-05] +[2024-05-25 06:11:33,397] - INFO: Epoch 6865/9999, Iter 343240: Loss = 0.009306247346103191, lr = [5e-05] +[2024-05-25 06:11:45,515] - INFO: Evaluate at epoch 6865! +[2024-05-25 06:11:49,512] - INFO: Eval PSNR (max): 38.065 (6755) SSIM (max): 0.9611 (5335) +[2024-05-25 06:11:49,513] - INFO: Eval PSNR (current): 38.048 (6865) SSIM (current): 0.9611 (6865) +[2024-05-25 06:11:49,513] - INFO: Evaluation over. +[2024-05-25 06:12:07,713] - INFO: Epoch 6866/9999, Iter 343260: Loss = 0.013979258015751839, lr = [5e-05] +[2024-05-25 06:12:35,283] - INFO: Epoch 6866/9999, Iter 343280: Loss = 0.00935269333422184, lr = [5e-05] +[2024-05-25 06:13:04,143] - INFO: Epoch 6867/9999, Iter 343300: Loss = 0.015371647663414478, lr = [5e-05] +[2024-05-25 06:13:31,491] - INFO: Epoch 6867/9999, Iter 343320: Loss = 0.011938412673771381, lr = [5e-05] +[2024-05-25 06:14:00,790] - INFO: Epoch 6867/9999, Iter 343340: Loss = 0.010374504141509533, lr = [5e-05] +[2024-05-25 06:14:29,942] - INFO: Epoch 6868/9999, Iter 343360: Loss = 0.011960863135755062, lr = [5e-05] +[2024-05-25 06:14:57,565] - INFO: Epoch 6868/9999, Iter 343380: Loss = 0.015590217895805836, lr = [5e-05] +[2024-05-25 06:15:26,439] - INFO: Epoch 6869/9999, Iter 343400: Loss = 0.013106671161949635, lr = [5e-05] +[2024-05-25 06:15:54,086] - INFO: Epoch 6869/9999, Iter 343420: Loss = 0.010070834308862686, lr = [5e-05] +[2024-05-25 06:16:20,717] - INFO: Epoch 6869/9999, Iter 343440: Loss = 0.008682157844305038, lr = [5e-05] +[2024-05-25 06:16:49,930] - INFO: Epoch 6870/9999, Iter 343460: Loss = 0.009856916964054108, lr = [5e-05] +[2024-05-25 06:17:19,004] - INFO: Epoch 6870/9999, Iter 343480: Loss = 0.010775436647236347, lr = [5e-05] +[2024-05-25 06:17:44,474] - INFO: Evaluate at epoch 6870! +[2024-05-25 06:17:48,479] - INFO: Eval PSNR (max): 38.065 (6755) SSIM (max): 0.9611 (5335) +[2024-05-25 06:17:48,479] - INFO: Eval PSNR (current): 38.027 (6870) SSIM (current): 0.9609 (6870) +[2024-05-25 06:17:48,479] - INFO: Evaluation over. +[2024-05-25 06:17:53,116] - INFO: Epoch 6871/9999, Iter 343500: Loss = 0.01178748905658722, lr = [5e-05] +[2024-05-25 06:18:21,424] - INFO: Epoch 6871/9999, Iter 343520: Loss = 0.012861293740570545, lr = [5e-05] +[2024-05-25 06:18:49,412] - INFO: Epoch 6871/9999, Iter 343540: Loss = 0.015288019552826881, lr = [5e-05] +[2024-05-25 06:19:17,359] - INFO: Epoch 6872/9999, Iter 343560: Loss = 0.012779301963746548, lr = [5e-05] +[2024-05-25 06:19:44,118] - INFO: Epoch 6872/9999, Iter 343580: Loss = 0.012971138581633568, lr = [5e-05] +[2024-05-25 06:20:13,627] - INFO: Epoch 6873/9999, Iter 343600: Loss = 0.010640811175107956, lr = [5e-05] +[2024-05-25 06:20:40,878] - INFO: Epoch 6873/9999, Iter 343620: Loss = 0.013428579084575176, lr = [5e-05] +[2024-05-25 06:21:08,619] - INFO: Epoch 6873/9999, Iter 343640: Loss = 0.010989931412041187, lr = [5e-05] +[2024-05-25 06:21:38,129] - INFO: Epoch 6874/9999, Iter 343660: Loss = 0.00985525082796812, lr = [5e-05] +[2024-05-25 06:22:05,476] - INFO: Epoch 6874/9999, Iter 343680: Loss = 0.011599165387451649, lr = [5e-05] +[2024-05-25 06:22:33,892] - INFO: Epoch 6875/9999, Iter 343700: Loss = 0.012579172849655151, lr = [5e-05] +[2024-05-25 06:23:02,007] - INFO: Epoch 6875/9999, Iter 343720: Loss = 0.0109421256929636, lr = [5e-05] +[2024-05-25 06:23:30,025] - INFO: Epoch 6875/9999, Iter 343740: Loss = 0.018434055149555206, lr = [5e-05] +[2024-05-25 06:23:42,130] - INFO: Evaluate at epoch 6875! +[2024-05-25 06:23:46,129] - INFO: Eval PSNR (max): 38.065 (6755) SSIM (max): 0.9611 (5335) +[2024-05-25 06:23:46,130] - INFO: Eval PSNR (current): 38.039 (6875) SSIM (current): 0.9609 (6875) +[2024-05-25 06:23:46,130] - INFO: Evaluation over. +[2024-05-25 06:24:03,791] - INFO: Epoch 6876/9999, Iter 343760: Loss = 0.011625824496150017, lr = [5e-05] +[2024-05-25 06:24:30,815] - INFO: Epoch 6876/9999, Iter 343780: Loss = 0.008209602907299995, lr = [5e-05] +[2024-05-25 06:24:59,364] - INFO: Epoch 6877/9999, Iter 343800: Loss = 0.01733115315437317, lr = [5e-05] +[2024-05-25 06:25:27,140] - INFO: Epoch 6877/9999, Iter 343820: Loss = 0.01250640768557787, lr = [5e-05] +[2024-05-25 06:25:54,206] - INFO: Epoch 6877/9999, Iter 343840: Loss = 0.013459241017699242, lr = [5e-05] +[2024-05-25 06:26:23,335] - INFO: Epoch 6878/9999, Iter 343860: Loss = 0.009976602159440517, lr = [5e-05] +[2024-05-25 06:26:51,251] - INFO: Epoch 6878/9999, Iter 343880: Loss = 0.011063856072723866, lr = [5e-05] +[2024-05-25 06:27:19,891] - INFO: Epoch 6879/9999, Iter 343900: Loss = 0.01615389995276928, lr = [5e-05] +[2024-05-25 06:27:48,206] - INFO: Epoch 6879/9999, Iter 343920: Loss = 0.012866432778537273, lr = [5e-05] +[2024-05-25 06:28:16,030] - INFO: Epoch 6879/9999, Iter 343940: Loss = 0.00882683601230383, lr = [5e-05] +[2024-05-25 06:28:44,530] - INFO: Epoch 6880/9999, Iter 343960: Loss = 0.014078180305659771, lr = [5e-05] +[2024-05-25 06:29:12,704] - INFO: Epoch 6880/9999, Iter 343980: Loss = 0.01566353254020214, lr = [5e-05] +[2024-05-25 06:29:39,062] - INFO: Evaluate at epoch 6880! +[2024-05-25 06:29:43,062] - INFO: Eval PSNR (max): 38.065 (6755) SSIM (max): 0.9611 (5335) +[2024-05-25 06:29:43,062] - INFO: Eval PSNR (current): 38.029 (6880) SSIM (current): 0.9609 (6880) +[2024-05-25 06:29:43,062] - INFO: Evaluation over. +[2024-05-25 06:29:47,307] - INFO: Epoch 6881/9999, Iter 344000: Loss = 0.01295812800526619, lr = [5e-05] +[2024-05-25 06:30:14,539] - INFO: Epoch 6881/9999, Iter 344020: Loss = 0.008121946826577187, lr = [5e-05] +[2024-05-25 06:30:41,328] - INFO: Epoch 6881/9999, Iter 344040: Loss = 0.015176127664744854, lr = [5e-05] +[2024-05-25 06:31:10,844] - INFO: Epoch 6882/9999, Iter 344060: Loss = 0.010737119242548943, lr = [5e-05] +[2024-05-25 06:31:38,063] - INFO: Epoch 6882/9999, Iter 344080: Loss = 0.013508968986570835, lr = [5e-05] +[2024-05-25 06:32:07,291] - INFO: Epoch 6883/9999, Iter 344100: Loss = 0.014613376930356026, lr = [5e-05] +[2024-05-25 06:32:34,230] - INFO: Epoch 6883/9999, Iter 344120: Loss = 0.00926207285374403, lr = [5e-05] +[2024-05-25 06:33:02,611] - INFO: Epoch 6883/9999, Iter 344140: Loss = 0.014339548535645008, lr = [5e-05] +[2024-05-25 06:33:31,498] - INFO: Epoch 6884/9999, Iter 344160: Loss = 0.008566731587052345, lr = [5e-05] +[2024-05-25 06:33:58,611] - INFO: Epoch 6884/9999, Iter 344180: Loss = 0.017004776746034622, lr = [5e-05] +[2024-05-25 06:34:27,088] - INFO: Epoch 6885/9999, Iter 344200: Loss = 0.01347773801535368, lr = [5e-05] +[2024-05-25 06:34:55,779] - INFO: Epoch 6885/9999, Iter 344220: Loss = 0.010410037823021412, lr = [5e-05] +[2024-05-25 06:35:24,065] - INFO: Epoch 6885/9999, Iter 344240: Loss = 0.013872022740542889, lr = [5e-05] +[2024-05-25 06:35:35,811] - INFO: Evaluate at epoch 6885! +[2024-05-25 06:35:40,088] - INFO: Eval PSNR (max): 38.065 (6755) SSIM (max): 0.9611 (5335) +[2024-05-25 06:35:40,088] - INFO: Eval PSNR (current): 38.056 (6885) SSIM (current): 0.9611 (6885) +[2024-05-25 06:35:40,088] - INFO: Evaluation over. +[2024-05-25 06:35:58,611] - INFO: Epoch 6886/9999, Iter 344260: Loss = 0.012517149560153484, lr = [5e-05] +[2024-05-25 06:36:26,735] - INFO: Epoch 6886/9999, Iter 344280: Loss = 0.01352551020681858, lr = [5e-05] +[2024-05-25 06:36:55,356] - INFO: Epoch 6887/9999, Iter 344300: Loss = 0.01601347140967846, lr = [5e-05] +[2024-05-25 06:37:23,240] - INFO: Epoch 6887/9999, Iter 344320: Loss = 0.01411457546055317, lr = [5e-05] +[2024-05-25 06:37:50,768] - INFO: Epoch 6887/9999, Iter 344340: Loss = 0.01053734589368105, lr = [5e-05] +[2024-05-25 06:38:20,407] - INFO: Epoch 6888/9999, Iter 344360: Loss = 0.017492439597845078, lr = [5e-05] +[2024-05-25 06:38:46,975] - INFO: Epoch 6888/9999, Iter 344380: Loss = 0.014218403026461601, lr = [5e-05] +[2024-05-25 06:39:15,964] - INFO: Epoch 6889/9999, Iter 344400: Loss = 0.011638577096164227, lr = [5e-05] +[2024-05-25 06:39:44,040] - INFO: Epoch 6889/9999, Iter 344420: Loss = 0.0106832105666399, lr = [5e-05] +[2024-05-25 06:40:11,233] - INFO: Epoch 6889/9999, Iter 344440: Loss = 0.014211088418960571, lr = [5e-05] +[2024-05-25 06:40:41,231] - INFO: Epoch 6890/9999, Iter 344460: Loss = 0.014479408040642738, lr = [5e-05] +[2024-05-25 06:41:08,659] - INFO: Epoch 6890/9999, Iter 344480: Loss = 0.016506895422935486, lr = [5e-05] +[2024-05-25 06:41:34,477] - INFO: Evaluate at epoch 6890! +[2024-05-25 06:41:38,477] - INFO: Eval PSNR (max): 38.065 (6755) SSIM (max): 0.9611 (5335) +[2024-05-25 06:41:38,478] - INFO: Eval PSNR (current): 38.040 (6890) SSIM (current): 0.9609 (6890) +[2024-05-25 06:41:38,478] - INFO: Evaluation over. +[2024-05-25 06:41:42,891] - INFO: Epoch 6891/9999, Iter 344500: Loss = 0.012403583154082298, lr = [5e-05] +[2024-05-25 06:42:11,035] - INFO: Epoch 6891/9999, Iter 344520: Loss = 0.01574276201426983, lr = [5e-05] +[2024-05-25 06:42:38,704] - INFO: Epoch 6891/9999, Iter 344540: Loss = 0.012809854932129383, lr = [5e-05] +[2024-05-25 06:43:07,048] - INFO: Epoch 6892/9999, Iter 344560: Loss = 0.012322134338319302, lr = [5e-05] +[2024-05-25 06:43:33,963] - INFO: Epoch 6892/9999, Iter 344580: Loss = 0.01082674227654934, lr = [5e-05] +[2024-05-25 06:44:03,635] - INFO: Epoch 6893/9999, Iter 344600: Loss = 0.011924995109438896, lr = [5e-05] +[2024-05-25 06:44:31,559] - INFO: Epoch 6893/9999, Iter 344620: Loss = 0.015092688612639904, lr = [5e-05] +[2024-05-25 06:44:59,851] - INFO: Epoch 6893/9999, Iter 344640: Loss = 0.008342691697180271, lr = [5e-05] +[2024-05-25 06:45:28,739] - INFO: Epoch 6894/9999, Iter 344660: Loss = 0.017751796171069145, lr = [5e-05] +[2024-05-25 06:45:56,592] - INFO: Epoch 6894/9999, Iter 344680: Loss = 0.017788663506507874, lr = [5e-05] +[2024-05-25 06:46:25,820] - INFO: Epoch 6895/9999, Iter 344700: Loss = 0.019517436623573303, lr = [5e-05] +[2024-05-25 06:46:53,390] - INFO: Epoch 6895/9999, Iter 344720: Loss = 0.013804316520690918, lr = [5e-05] +[2024-05-25 06:47:20,579] - INFO: Epoch 6895/9999, Iter 344740: Loss = 0.010197323746979237, lr = [5e-05] +[2024-05-25 06:47:33,335] - INFO: Evaluate at epoch 6895! +[2024-05-25 06:47:37,341] - INFO: Eval PSNR (max): 38.065 (6755) SSIM (max): 0.9611 (5335) +[2024-05-25 06:47:37,341] - INFO: Eval PSNR (current): 38.032 (6895) SSIM (current): 0.9610 (6895) +[2024-05-25 06:47:37,341] - INFO: Evaluation over. +[2024-05-25 06:47:55,989] - INFO: Epoch 6896/9999, Iter 344760: Loss = 0.016959674656391144, lr = [5e-05] +[2024-05-25 06:48:24,042] - INFO: Epoch 6896/9999, Iter 344780: Loss = 0.008315706625580788, lr = [5e-05] +[2024-05-25 06:48:52,499] - INFO: Epoch 6897/9999, Iter 344800: Loss = 0.008857852779328823, lr = [5e-05] +[2024-05-25 06:49:20,087] - INFO: Epoch 6897/9999, Iter 344820: Loss = 0.014225298538804054, lr = [5e-05] +[2024-05-25 06:49:48,007] - INFO: Epoch 6897/9999, Iter 344840: Loss = 0.019203627482056618, lr = [5e-05] +[2024-05-25 06:50:16,648] - INFO: Epoch 6898/9999, Iter 344860: Loss = 0.015777574852108955, lr = [5e-05] +[2024-05-25 06:50:43,946] - INFO: Epoch 6898/9999, Iter 344880: Loss = 0.013413519598543644, lr = [5e-05] +[2024-05-25 06:51:12,236] - INFO: Epoch 6899/9999, Iter 344900: Loss = 0.016845181584358215, lr = [5e-05] +[2024-05-25 06:51:40,491] - INFO: Epoch 6899/9999, Iter 344920: Loss = 0.008587495423853397, lr = [5e-05] +[2024-05-25 06:52:08,334] - INFO: Epoch 6899/9999, Iter 344940: Loss = 0.012846279889345169, lr = [5e-05] +[2024-05-25 06:52:37,107] - INFO: Epoch 6900/9999, Iter 344960: Loss = 0.013210742734372616, lr = [5e-05] +[2024-05-25 06:53:04,948] - INFO: Epoch 6900/9999, Iter 344980: Loss = 0.01562962494790554, lr = [5e-05] +[2024-05-25 06:53:30,277] - INFO: Evaluate at epoch 6900! +[2024-05-25 06:53:34,277] - INFO: Eval PSNR (max): 38.065 (6755) SSIM (max): 0.9611 (5335) +[2024-05-25 06:53:34,277] - INFO: Eval PSNR (current): 38.028 (6900) SSIM (current): 0.9609 (6900) +[2024-05-25 06:53:34,277] - INFO: Evaluation over. +[2024-05-25 06:53:38,519] - INFO: Epoch 6901/9999, Iter 345000: Loss = 0.01569238491356373, lr = [5e-05] +[2024-05-25 06:54:06,387] - INFO: Epoch 6901/9999, Iter 345020: Loss = 0.01319076120853424, lr = [5e-05] +[2024-05-25 06:54:33,343] - INFO: Epoch 6901/9999, Iter 345040: Loss = 0.013717729598283768, lr = [5e-05] +[2024-05-25 06:55:02,564] - INFO: Epoch 6902/9999, Iter 345060: Loss = 0.01632288284599781, lr = [5e-05] +[2024-05-25 06:55:30,206] - INFO: Epoch 6902/9999, Iter 345080: Loss = 0.013614016585052013, lr = [5e-05] +[2024-05-25 06:55:59,171] - INFO: Epoch 6903/9999, Iter 345100: Loss = 0.009670021012425423, lr = [5e-05] +[2024-05-25 06:56:26,793] - INFO: Epoch 6903/9999, Iter 345120: Loss = 0.012400482781231403, lr = [5e-05] +[2024-05-25 06:56:53,960] - INFO: Epoch 6903/9999, Iter 345140: Loss = 0.011218009516596794, lr = [5e-05] +[2024-05-25 06:57:23,395] - INFO: Epoch 6904/9999, Iter 345160: Loss = 0.01197322178632021, lr = [5e-05] +[2024-05-25 06:57:51,895] - INFO: Epoch 6904/9999, Iter 345180: Loss = 0.01313829980790615, lr = [5e-05] +[2024-05-25 06:58:20,991] - INFO: Epoch 6905/9999, Iter 345200: Loss = 0.01089479960501194, lr = [5e-05] +[2024-05-25 06:58:48,739] - INFO: Epoch 6905/9999, Iter 345220: Loss = 0.010319738648831844, lr = [5e-05] +[2024-05-25 06:59:15,607] - INFO: Epoch 6905/9999, Iter 345240: Loss = 0.008638729341328144, lr = [5e-05] +[2024-05-25 06:59:27,800] - INFO: Evaluate at epoch 6905! +[2024-05-25 06:59:31,911] - INFO: Eval PSNR (max): 38.065 (6755) SSIM (max): 0.9611 (5335) +[2024-05-25 06:59:31,912] - INFO: Eval PSNR (current): 38.037 (6905) SSIM (current): 0.9609 (6905) +[2024-05-25 06:59:31,912] - INFO: Evaluation over. +[2024-05-25 06:59:50,387] - INFO: Epoch 6906/9999, Iter 345260: Loss = 0.011520999483764172, lr = [5e-05] +[2024-05-25 07:00:18,251] - INFO: Epoch 6906/9999, Iter 345280: Loss = 0.007307933643460274, lr = [5e-05] +[2024-05-25 07:00:46,208] - INFO: Epoch 6907/9999, Iter 345300: Loss = 0.014911840669810772, lr = [5e-05] +[2024-05-25 07:01:14,203] - INFO: Epoch 6907/9999, Iter 345320: Loss = 0.009217160753905773, lr = [5e-05] +[2024-05-25 07:01:41,985] - INFO: Epoch 6907/9999, Iter 345340: Loss = 0.014470469206571579, lr = [5e-05] +[2024-05-25 07:02:10,043] - INFO: Epoch 6908/9999, Iter 345360: Loss = 0.014845159836113453, lr = [5e-05] +[2024-05-25 07:02:36,866] - INFO: Epoch 6908/9999, Iter 345380: Loss = 0.01123138703405857, lr = [5e-05] +[2024-05-25 07:03:05,580] - INFO: Epoch 6909/9999, Iter 345400: Loss = 0.008237548172473907, lr = [5e-05] +[2024-05-25 07:03:33,783] - INFO: Epoch 6909/9999, Iter 345420: Loss = 0.012408826500177383, lr = [5e-05] +[2024-05-25 07:04:01,401] - INFO: Epoch 6909/9999, Iter 345440: Loss = 0.010512741282582283, lr = [5e-05] +[2024-05-25 07:04:30,783] - INFO: Epoch 6910/9999, Iter 345460: Loss = 0.014340059831738472, lr = [5e-05] +[2024-05-25 07:04:58,815] - INFO: Epoch 6910/9999, Iter 345480: Loss = 0.013674433343112469, lr = [5e-05] +[2024-05-25 07:05:24,549] - INFO: Evaluate at epoch 6910! +[2024-05-25 07:05:28,660] - INFO: Eval PSNR (max): 38.065 (6755) SSIM (max): 0.9611 (5335) +[2024-05-25 07:05:28,660] - INFO: Eval PSNR (current): 38.044 (6910) SSIM (current): 0.9610 (6910) +[2024-05-25 07:05:28,661] - INFO: Evaluation over. +[2024-05-25 07:05:33,319] - INFO: Epoch 6911/9999, Iter 345500: Loss = 0.00961095280945301, lr = [5e-05] +[2024-05-25 07:05:59,551] - INFO: Epoch 6911/9999, Iter 345520: Loss = 0.012003294192254543, lr = [5e-05] +[2024-05-25 07:06:27,337] - INFO: Epoch 6911/9999, Iter 345540: Loss = 0.014214489609003067, lr = [5e-05] +[2024-05-25 07:06:56,563] - INFO: Epoch 6912/9999, Iter 345560: Loss = 0.010796531103551388, lr = [5e-05] +[2024-05-25 07:07:23,839] - INFO: Epoch 6912/9999, Iter 345580: Loss = 0.01792253740131855, lr = [5e-05] +[2024-05-25 07:07:52,915] - INFO: Epoch 6913/9999, Iter 345600: Loss = 0.013488699682056904, lr = [5e-05] +[2024-05-25 07:08:20,417] - INFO: Epoch 6913/9999, Iter 345620: Loss = 0.011282962746918201, lr = [5e-05] +[2024-05-25 07:08:48,720] - INFO: Epoch 6913/9999, Iter 345640: Loss = 0.010799639858305454, lr = [5e-05] +[2024-05-25 07:09:16,940] - INFO: Epoch 6914/9999, Iter 345660: Loss = 0.009883338585495949, lr = [5e-05] +[2024-05-25 07:09:44,559] - INFO: Epoch 6914/9999, Iter 345680: Loss = 0.016891954466700554, lr = [5e-05] +[2024-05-25 07:10:12,931] - INFO: Epoch 6915/9999, Iter 345700: Loss = 0.010816388763487339, lr = [5e-05] +[2024-05-25 07:10:41,780] - INFO: Epoch 6915/9999, Iter 345720: Loss = 0.01755906455218792, lr = [5e-05] +[2024-05-25 07:11:09,853] - INFO: Epoch 6915/9999, Iter 345740: Loss = 0.01609725132584572, lr = [5e-05] +[2024-05-25 07:11:21,220] - INFO: Evaluate at epoch 6915! +[2024-05-25 07:11:25,318] - INFO: Eval PSNR (max): 38.065 (6755) SSIM (max): 0.9611 (5335) +[2024-05-25 07:11:25,318] - INFO: Eval PSNR (current): 38.041 (6915) SSIM (current): 0.9610 (6915) +[2024-05-25 07:11:25,318] - INFO: Evaluation over. +[2024-05-25 07:11:43,474] - INFO: Epoch 6916/9999, Iter 345760: Loss = 0.014794230461120605, lr = [5e-05] +[2024-05-25 07:12:11,123] - INFO: Epoch 6916/9999, Iter 345780: Loss = 0.010500154457986355, lr = [5e-05] +[2024-05-25 07:12:39,607] - INFO: Epoch 6917/9999, Iter 345800: Loss = 0.02259061299264431, lr = [5e-05] +[2024-05-25 07:13:07,375] - INFO: Epoch 6917/9999, Iter 345820: Loss = 0.01007672306150198, lr = [5e-05] +[2024-05-25 07:13:34,389] - INFO: Epoch 6917/9999, Iter 345840: Loss = 0.010249554179608822, lr = [5e-05] +[2024-05-25 07:14:03,061] - INFO: Epoch 6918/9999, Iter 345860: Loss = 0.01126839965581894, lr = [5e-05] +[2024-05-25 07:14:30,008] - INFO: Epoch 6918/9999, Iter 345880: Loss = 0.014744843356311321, lr = [5e-05] +[2024-05-25 07:14:58,299] - INFO: Epoch 6919/9999, Iter 345900: Loss = 0.01095763873308897, lr = [5e-05] +[2024-05-25 07:15:27,187] - INFO: Epoch 6919/9999, Iter 345920: Loss = 0.012099252082407475, lr = [5e-05] +[2024-05-25 07:15:54,606] - INFO: Epoch 6919/9999, Iter 345940: Loss = 0.017742635682225227, lr = [5e-05] +[2024-05-25 07:16:23,539] - INFO: Epoch 6920/9999, Iter 345960: Loss = 0.009249787777662277, lr = [5e-05] +[2024-05-25 07:16:51,351] - INFO: Epoch 6920/9999, Iter 345980: Loss = 0.015971580520272255, lr = [5e-05] +[2024-05-25 07:17:17,457] - INFO: Evaluate at epoch 6920! +[2024-05-25 07:17:21,566] - INFO: Eval PSNR (max): 38.065 (6755) SSIM (max): 0.9611 (5335) +[2024-05-25 07:17:21,566] - INFO: Eval PSNR (current): 38.050 (6920) SSIM (current): 0.9610 (6920) +[2024-05-25 07:17:21,566] - INFO: Evaluation over. +[2024-05-25 07:17:26,083] - INFO: Epoch 6921/9999, Iter 346000: Loss = 0.01293711457401514, lr = [5e-05] +[2024-05-25 07:17:53,315] - INFO: Epoch 6921/9999, Iter 346020: Loss = 0.011302678845822811, lr = [5e-05] +[2024-05-25 07:18:20,216] - INFO: Epoch 6921/9999, Iter 346040: Loss = 0.016273638233542442, lr = [5e-05] +[2024-05-25 07:18:48,578] - INFO: Epoch 6922/9999, Iter 346060: Loss = 0.013085146434605122, lr = [5e-05] +[2024-05-25 07:19:15,731] - INFO: Epoch 6922/9999, Iter 346080: Loss = 0.01681755855679512, lr = [5e-05] +[2024-05-25 07:19:44,978] - INFO: Epoch 6923/9999, Iter 346100: Loss = 0.011206564493477345, lr = [5e-05] +[2024-05-25 07:20:12,203] - INFO: Epoch 6923/9999, Iter 346120: Loss = 0.011183807626366615, lr = [5e-05] +[2024-05-25 07:20:39,288] - INFO: Epoch 6923/9999, Iter 346140: Loss = 0.012066423892974854, lr = [5e-05] +[2024-05-25 07:21:08,123] - INFO: Epoch 6924/9999, Iter 346160: Loss = 0.011110893450677395, lr = [5e-05] +[2024-05-25 07:21:34,967] - INFO: Epoch 6924/9999, Iter 346180: Loss = 0.011063545010983944, lr = [5e-05] +[2024-05-25 07:22:04,495] - INFO: Epoch 6925/9999, Iter 346200: Loss = 0.008851485326886177, lr = [5e-05] +[2024-05-25 07:22:32,227] - INFO: Epoch 6925/9999, Iter 346220: Loss = 0.011943841353058815, lr = [5e-05] +[2024-05-25 07:22:58,653] - INFO: Epoch 6925/9999, Iter 346240: Loss = 0.010719755664467812, lr = [5e-05] +[2024-05-25 07:23:11,146] - INFO: Evaluate at epoch 6925! +[2024-05-25 07:23:15,256] - INFO: Eval PSNR (max): 38.065 (6755) SSIM (max): 0.9611 (5335) +[2024-05-25 07:23:15,256] - INFO: Eval PSNR (current): 38.055 (6925) SSIM (current): 0.9610 (6925) +[2024-05-25 07:23:15,256] - INFO: Evaluation over. +[2024-05-25 07:23:33,467] - INFO: Epoch 6926/9999, Iter 346260: Loss = 0.01337470207363367, lr = [5e-05] +[2024-05-25 07:24:01,265] - INFO: Epoch 6926/9999, Iter 346280: Loss = 0.011950855143368244, lr = [5e-05] +[2024-05-25 07:24:30,131] - INFO: Epoch 6927/9999, Iter 346300: Loss = 0.020076870918273926, lr = [5e-05] +[2024-05-25 07:24:56,671] - INFO: Epoch 6927/9999, Iter 346320: Loss = 0.012974720448255539, lr = [5e-05] +[2024-05-25 07:25:23,799] - INFO: Epoch 6927/9999, Iter 346340: Loss = 0.010066931135952473, lr = [5e-05] +[2024-05-25 07:25:52,595] - INFO: Epoch 6928/9999, Iter 346360: Loss = 0.012071110308170319, lr = [5e-05] +[2024-05-25 07:26:20,519] - INFO: Epoch 6928/9999, Iter 346380: Loss = 0.021332569420337677, lr = [5e-05] +[2024-05-25 07:26:49,503] - INFO: Epoch 6929/9999, Iter 346400: Loss = 0.011216957122087479, lr = [5e-05] +[2024-05-25 07:27:16,662] - INFO: Epoch 6929/9999, Iter 346420: Loss = 0.008108342997729778, lr = [5e-05] +[2024-05-25 07:27:44,535] - INFO: Epoch 6929/9999, Iter 346440: Loss = 0.015239300206303596, lr = [5e-05] +[2024-05-25 07:28:12,768] - INFO: Epoch 6930/9999, Iter 346460: Loss = 0.013962337747216225, lr = [5e-05] +[2024-05-25 07:28:40,415] - INFO: Epoch 6930/9999, Iter 346480: Loss = 0.01469405647367239, lr = [5e-05] +[2024-05-25 07:29:06,542] - INFO: Evaluate at epoch 6930! +[2024-05-25 07:29:10,661] - INFO: Eval PSNR (max): 38.065 (6755) SSIM (max): 0.9611 (5335) +[2024-05-25 07:29:10,661] - INFO: Eval PSNR (current): 38.029 (6930) SSIM (current): 0.9609 (6930) +[2024-05-25 07:29:10,661] - INFO: Evaluation over. +[2024-05-25 07:29:15,094] - INFO: Epoch 6931/9999, Iter 346500: Loss = 0.012845036573708057, lr = [5e-05] +[2024-05-25 07:29:42,719] - INFO: Epoch 6931/9999, Iter 346520: Loss = 0.009643413126468658, lr = [5e-05] +[2024-05-25 07:30:09,442] - INFO: Epoch 6931/9999, Iter 346540: Loss = 0.01597633957862854, lr = [5e-05] +[2024-05-25 07:30:37,528] - INFO: Epoch 6932/9999, Iter 346560: Loss = 0.013036500662565231, lr = [5e-05] +[2024-05-25 07:31:05,336] - INFO: Epoch 6932/9999, Iter 346580: Loss = 0.008331896737217903, lr = [5e-05] +[2024-05-25 07:31:34,267] - INFO: Epoch 6933/9999, Iter 346600: Loss = 0.009643170982599258, lr = [5e-05] +[2024-05-25 07:32:02,518] - INFO: Epoch 6933/9999, Iter 346620: Loss = 0.013728325255215168, lr = [5e-05] +[2024-05-25 07:32:29,511] - INFO: Epoch 6933/9999, Iter 346640: Loss = 0.014530912041664124, lr = [5e-05] +[2024-05-25 07:32:58,688] - INFO: Epoch 6934/9999, Iter 346660: Loss = 0.008699802681803703, lr = [5e-05] +[2024-05-25 07:33:26,171] - INFO: Epoch 6934/9999, Iter 346680: Loss = 0.012528670951724052, lr = [5e-05] +[2024-05-25 07:33:55,339] - INFO: Epoch 6935/9999, Iter 346700: Loss = 0.019880179315805435, lr = [5e-05] +[2024-05-25 07:34:23,012] - INFO: Epoch 6935/9999, Iter 346720: Loss = 0.01178997103124857, lr = [5e-05] +[2024-05-25 07:34:50,291] - INFO: Epoch 6935/9999, Iter 346740: Loss = 0.01106119342148304, lr = [5e-05] +[2024-05-25 07:35:02,789] - INFO: Evaluate at epoch 6935! +[2024-05-25 07:35:06,889] - INFO: Eval PSNR (max): 38.065 (6755) SSIM (max): 0.9611 (5335) +[2024-05-25 07:35:06,889] - INFO: Eval PSNR (current): 37.996 (6935) SSIM (current): 0.9608 (6935) +[2024-05-25 07:35:06,889] - INFO: Evaluation over. +[2024-05-25 07:35:25,175] - INFO: Epoch 6936/9999, Iter 346760: Loss = 0.013805274851620197, lr = [5e-05] +[2024-05-25 07:35:52,679] - INFO: Epoch 6936/9999, Iter 346780: Loss = 0.012610192410647869, lr = [5e-05] +[2024-05-25 07:36:21,939] - INFO: Epoch 6937/9999, Iter 346800: Loss = 0.015912838280200958, lr = [5e-05] +[2024-05-25 07:36:49,718] - INFO: Epoch 6937/9999, Iter 346820: Loss = 0.011559746228158474, lr = [5e-05] +[2024-05-25 07:37:17,650] - INFO: Epoch 6937/9999, Iter 346840: Loss = 0.006327641196548939, lr = [5e-05] +[2024-05-25 07:37:46,130] - INFO: Epoch 6938/9999, Iter 346860: Loss = 0.014081016182899475, lr = [5e-05] +[2024-05-25 07:38:14,627] - INFO: Epoch 6938/9999, Iter 346880: Loss = 0.019428182393312454, lr = [5e-05] +[2024-05-25 07:38:43,555] - INFO: Epoch 6939/9999, Iter 346900: Loss = 0.015711523592472076, lr = [5e-05] +[2024-05-25 07:39:11,459] - INFO: Epoch 6939/9999, Iter 346920: Loss = 0.017263224348425865, lr = [5e-05] +[2024-05-25 07:39:40,050] - INFO: Epoch 6939/9999, Iter 346940: Loss = 0.013493852689862251, lr = [5e-05] +[2024-05-25 07:40:08,739] - INFO: Epoch 6940/9999, Iter 346960: Loss = 0.01135815866291523, lr = [5e-05] +[2024-05-25 07:40:37,114] - INFO: Epoch 6940/9999, Iter 346980: Loss = 0.020233381539583206, lr = [5e-05] +[2024-05-25 07:41:02,991] - INFO: Evaluate at epoch 6940! +[2024-05-25 07:41:07,097] - INFO: Eval PSNR (max): 38.065 (6755) SSIM (max): 0.9611 (5335) +[2024-05-25 07:41:07,097] - INFO: Eval PSNR (current): 38.035 (6940) SSIM (current): 0.9609 (6940) +[2024-05-25 07:41:07,097] - INFO: Evaluation over. +[2024-05-25 07:41:11,743] - INFO: Epoch 6941/9999, Iter 347000: Loss = 0.008528487756848335, lr = [5e-05] +[2024-05-25 07:41:39,947] - INFO: Epoch 6941/9999, Iter 347020: Loss = 0.014903081580996513, lr = [5e-05] +[2024-05-25 07:42:08,264] - INFO: Epoch 6941/9999, Iter 347040: Loss = 0.008675910532474518, lr = [5e-05] +[2024-05-25 07:42:36,772] - INFO: Epoch 6942/9999, Iter 347060: Loss = 0.01340944692492485, lr = [5e-05] +[2024-05-25 07:43:04,331] - INFO: Epoch 6942/9999, Iter 347080: Loss = 0.010986328125, lr = [5e-05] +[2024-05-25 07:43:32,739] - INFO: Epoch 6943/9999, Iter 347100: Loss = 0.012028882279992104, lr = [5e-05] +[2024-05-25 07:44:00,860] - INFO: Epoch 6943/9999, Iter 347120: Loss = 0.017830034717917442, lr = [5e-05] +[2024-05-25 07:44:28,230] - INFO: Epoch 6943/9999, Iter 347140: Loss = 0.011560600250959396, lr = [5e-05] +[2024-05-25 07:44:56,950] - INFO: Epoch 6944/9999, Iter 347160: Loss = 0.019037440419197083, lr = [5e-05] +[2024-05-25 07:45:24,379] - INFO: Epoch 6944/9999, Iter 347180: Loss = 0.012249410152435303, lr = [5e-05] +[2024-05-25 07:45:53,584] - INFO: Epoch 6945/9999, Iter 347200: Loss = 0.01288933027535677, lr = [5e-05] +[2024-05-25 07:46:21,117] - INFO: Epoch 6945/9999, Iter 347220: Loss = 0.014120815321803093, lr = [5e-05] +[2024-05-25 07:46:49,950] - INFO: Epoch 6945/9999, Iter 347240: Loss = 0.010171010158956051, lr = [5e-05] +[2024-05-25 07:47:02,104] - INFO: Evaluate at epoch 6945! +[2024-05-25 07:47:06,217] - INFO: Eval PSNR (max): 38.065 (6755) SSIM (max): 0.9611 (5335) +[2024-05-25 07:47:06,217] - INFO: Eval PSNR (current): 38.047 (6945) SSIM (current): 0.9610 (6945) +[2024-05-25 07:47:06,217] - INFO: Evaluation over. +[2024-05-25 07:47:24,917] - INFO: Epoch 6946/9999, Iter 347260: Loss = 0.0076009598560631275, lr = [5e-05] +[2024-05-25 07:47:53,398] - INFO: Epoch 6946/9999, Iter 347280: Loss = 0.009540085680782795, lr = [5e-05] +[2024-05-25 07:48:21,987] - INFO: Epoch 6947/9999, Iter 347300: Loss = 0.007255660369992256, lr = [5e-05] +[2024-05-25 07:48:49,382] - INFO: Epoch 6947/9999, Iter 347320: Loss = 0.013114146888256073, lr = [5e-05] +[2024-05-25 07:49:16,374] - INFO: Epoch 6947/9999, Iter 347340: Loss = 0.007733877282589674, lr = [5e-05] +[2024-05-25 07:49:45,203] - INFO: Epoch 6948/9999, Iter 347360: Loss = 0.020742544904351234, lr = [5e-05] +[2024-05-25 07:50:13,459] - INFO: Epoch 6948/9999, Iter 347380: Loss = 0.011446533724665642, lr = [5e-05] +[2024-05-25 07:50:42,459] - INFO: Epoch 6949/9999, Iter 347400: Loss = 0.013207179494202137, lr = [5e-05] +[2024-05-25 07:51:10,650] - INFO: Epoch 6949/9999, Iter 347420: Loss = 0.015904517844319344, lr = [5e-05] +[2024-05-25 07:51:37,927] - INFO: Epoch 6949/9999, Iter 347440: Loss = 0.012150091119110584, lr = [5e-05] +[2024-05-25 07:52:07,279] - INFO: Epoch 6950/9999, Iter 347460: Loss = 0.00864817202091217, lr = [5e-05] +[2024-05-25 07:52:35,355] - INFO: Epoch 6950/9999, Iter 347480: Loss = 0.010329834185540676, lr = [5e-05] +[2024-05-25 07:53:01,535] - INFO: Evaluate at epoch 6950! +[2024-05-25 07:53:05,648] - INFO: Eval PSNR (max): 38.065 (6755) SSIM (max): 0.9611 (5335) +[2024-05-25 07:53:05,648] - INFO: Eval PSNR (current): 38.036 (6950) SSIM (current): 0.9610 (6950) +[2024-05-25 07:53:05,648] - INFO: Evaluation over. +[2024-05-25 07:53:10,127] - INFO: Epoch 6951/9999, Iter 347500: Loss = 0.015156969428062439, lr = [5e-05] +[2024-05-25 07:53:36,789] - INFO: Epoch 6951/9999, Iter 347520: Loss = 0.009257524274289608, lr = [5e-05] +[2024-05-25 07:54:03,593] - INFO: Epoch 6951/9999, Iter 347540: Loss = 0.013548741117119789, lr = [5e-05] +[2024-05-25 07:54:32,808] - INFO: Epoch 6952/9999, Iter 347560: Loss = 0.013963980600237846, lr = [5e-05] +[2024-05-25 07:55:00,489] - INFO: Epoch 6952/9999, Iter 347580: Loss = 0.013732604682445526, lr = [5e-05] +[2024-05-25 07:55:29,403] - INFO: Epoch 6953/9999, Iter 347600: Loss = 0.01553431898355484, lr = [5e-05] +[2024-05-25 07:55:57,235] - INFO: Epoch 6953/9999, Iter 347620: Loss = 0.01172835286706686, lr = [5e-05] +[2024-05-25 07:56:23,909] - INFO: Epoch 6953/9999, Iter 347640: Loss = 0.014956057071685791, lr = [5e-05] +[2024-05-25 07:56:52,383] - INFO: Epoch 6954/9999, Iter 347660: Loss = 0.012151623144745827, lr = [5e-05] +[2024-05-25 07:57:19,499] - INFO: Epoch 6954/9999, Iter 347680: Loss = 0.01595314033329487, lr = [5e-05] +[2024-05-25 07:57:48,591] - INFO: Epoch 6955/9999, Iter 347700: Loss = 0.011324156075716019, lr = [5e-05] +[2024-05-25 07:58:16,131] - INFO: Epoch 6955/9999, Iter 347720: Loss = 0.009426403790712357, lr = [5e-05] +[2024-05-25 07:58:44,108] - INFO: Epoch 6955/9999, Iter 347740: Loss = 0.012860927730798721, lr = [5e-05] +[2024-05-25 07:58:56,339] - INFO: Evaluate at epoch 6955! +[2024-05-25 07:59:00,446] - INFO: Eval PSNR (max): 38.065 (6755) SSIM (max): 0.9611 (5335) +[2024-05-25 07:59:00,446] - INFO: Eval PSNR (current): 38.025 (6955) SSIM (current): 0.9609 (6955) +[2024-05-25 07:59:00,446] - INFO: Evaluation over. +[2024-05-25 07:59:18,699] - INFO: Epoch 6956/9999, Iter 347760: Loss = 0.013352770358324051, lr = [5e-05] +[2024-05-25 07:59:45,183] - INFO: Epoch 6956/9999, Iter 347780: Loss = 0.018412796780467033, lr = [5e-05] +[2024-05-25 08:00:14,267] - INFO: Epoch 6957/9999, Iter 347800: Loss = 0.01731952838599682, lr = [5e-05] +[2024-05-25 08:00:40,603] - INFO: Epoch 6957/9999, Iter 347820: Loss = 0.012986818328499794, lr = [5e-05] +[2024-05-25 08:01:08,295] - INFO: Epoch 6957/9999, Iter 347840: Loss = 0.013206690549850464, lr = [5e-05] +[2024-05-25 08:01:36,899] - INFO: Epoch 6958/9999, Iter 347860: Loss = 0.009523755870759487, lr = [5e-05] +[2024-05-25 08:02:04,931] - INFO: Epoch 6958/9999, Iter 347880: Loss = 0.011226288042962551, lr = [5e-05] +[2024-05-25 08:02:33,315] - INFO: Epoch 6959/9999, Iter 347900: Loss = 0.011060173623263836, lr = [5e-05] +[2024-05-25 08:03:02,263] - INFO: Epoch 6959/9999, Iter 347920: Loss = 0.016465334221720695, lr = [5e-05] +[2024-05-25 08:03:30,008] - INFO: Epoch 6959/9999, Iter 347940: Loss = 0.016784539446234703, lr = [5e-05] +[2024-05-25 08:03:58,674] - INFO: Epoch 6960/9999, Iter 347960: Loss = 0.014429534785449505, lr = [5e-05] +[2024-05-25 08:04:26,938] - INFO: Epoch 6960/9999, Iter 347980: Loss = 0.008576972410082817, lr = [5e-05] +[2024-05-25 08:04:52,990] - INFO: Evaluate at epoch 6960! +[2024-05-25 08:04:57,096] - INFO: Eval PSNR (max): 38.065 (6755) SSIM (max): 0.9611 (5335) +[2024-05-25 08:04:57,096] - INFO: Eval PSNR (current): 38.056 (6960) SSIM (current): 0.9610 (6960) +[2024-05-25 08:04:57,096] - INFO: Evaluation over. +[2024-05-25 08:05:02,010] - INFO: Epoch 6961/9999, Iter 348000: Loss = 0.011105136014521122, lr = [5e-05] +[2024-05-25 08:05:29,306] - INFO: Epoch 6961/9999, Iter 348020: Loss = 0.01527636218816042, lr = [5e-05] +[2024-05-25 08:05:56,532] - INFO: Epoch 6961/9999, Iter 348040: Loss = 0.01508402731269598, lr = [5e-05] +[2024-05-25 08:06:24,999] - INFO: Epoch 6962/9999, Iter 348060: Loss = 0.008289146237075329, lr = [5e-05] +[2024-05-25 08:06:52,278] - INFO: Epoch 6962/9999, Iter 348080: Loss = 0.012564526870846748, lr = [5e-05] +[2024-05-25 08:07:21,948] - INFO: Epoch 6963/9999, Iter 348100: Loss = 0.01443466730415821, lr = [5e-05] +[2024-05-25 08:07:49,875] - INFO: Epoch 6963/9999, Iter 348120: Loss = 0.00792632531374693, lr = [5e-05] +[2024-05-25 08:08:17,880] - INFO: Epoch 6963/9999, Iter 348140: Loss = 0.019515227526426315, lr = [5e-05] +[2024-05-25 08:08:46,043] - INFO: Epoch 6964/9999, Iter 348160: Loss = 0.009971164166927338, lr = [5e-05] +[2024-05-25 08:09:14,035] - INFO: Epoch 6964/9999, Iter 348180: Loss = 0.01410670205950737, lr = [5e-05] +[2024-05-25 08:09:42,851] - INFO: Epoch 6965/9999, Iter 348200: Loss = 0.012721758335828781, lr = [5e-05] +[2024-05-25 08:10:10,645] - INFO: Epoch 6965/9999, Iter 348220: Loss = 0.012604482471942902, lr = [5e-05] +[2024-05-25 08:10:38,000] - INFO: Epoch 6965/9999, Iter 348240: Loss = 0.011047760024666786, lr = [5e-05] +[2024-05-25 08:10:49,820] - INFO: Evaluate at epoch 6965! +[2024-05-25 08:10:53,925] - INFO: Eval PSNR (max): 38.065 (6755) SSIM (max): 0.9611 (5335) +[2024-05-25 08:10:53,926] - INFO: Eval PSNR (current): 38.030 (6965) SSIM (current): 0.9609 (6965) +[2024-05-25 08:10:53,926] - INFO: Evaluation over. +[2024-05-25 08:11:12,703] - INFO: Epoch 6966/9999, Iter 348260: Loss = 0.011248357594013214, lr = [5e-05] +[2024-05-25 08:11:40,063] - INFO: Epoch 6966/9999, Iter 348280: Loss = 0.01111689768731594, lr = [5e-05] +[2024-05-25 08:12:08,273] - INFO: Epoch 6967/9999, Iter 348300: Loss = 0.008792722597718239, lr = [5e-05] +[2024-05-25 08:12:36,413] - INFO: Epoch 6967/9999, Iter 348320: Loss = 0.013375531882047653, lr = [5e-05] +[2024-05-25 08:13:04,436] - INFO: Epoch 6967/9999, Iter 348340: Loss = 0.010242843069136143, lr = [5e-05] +[2024-05-25 08:13:33,057] - INFO: Epoch 6968/9999, Iter 348360: Loss = 0.010928458534181118, lr = [5e-05] +[2024-05-25 08:13:59,963] - INFO: Epoch 6968/9999, Iter 348380: Loss = 0.013004453852772713, lr = [5e-05] +[2024-05-25 08:14:28,511] - INFO: Epoch 6969/9999, Iter 348400: Loss = 0.017265615984797478, lr = [5e-05] +[2024-05-25 08:14:56,994] - INFO: Epoch 6969/9999, Iter 348420: Loss = 0.011267827823758125, lr = [5e-05] +[2024-05-25 08:15:24,966] - INFO: Epoch 6969/9999, Iter 348440: Loss = 0.016763800755143166, lr = [5e-05] +[2024-05-25 08:15:53,687] - INFO: Epoch 6970/9999, Iter 348460: Loss = 0.014764408580958843, lr = [5e-05] +[2024-05-25 08:16:20,399] - INFO: Epoch 6970/9999, Iter 348480: Loss = 0.0110570527613163, lr = [5e-05] +[2024-05-25 08:16:46,852] - INFO: Evaluate at epoch 6970! +[2024-05-25 08:16:50,944] - INFO: Eval PSNR (max): 38.065 (6755) SSIM (max): 0.9611 (5335) +[2024-05-25 08:16:50,944] - INFO: Eval PSNR (current): 38.030 (6970) SSIM (current): 0.9610 (6970) +[2024-05-25 08:16:50,944] - INFO: Evaluation over. +[2024-05-25 08:16:55,662] - INFO: Epoch 6971/9999, Iter 348500: Loss = 0.019178638234734535, lr = [5e-05] +[2024-05-25 08:17:23,267] - INFO: Epoch 6971/9999, Iter 348520: Loss = 0.013527297414839268, lr = [5e-05] +[2024-05-25 08:17:50,098] - INFO: Epoch 6971/9999, Iter 348540: Loss = 0.006201652344316244, lr = [5e-05] +[2024-05-25 08:18:19,767] - INFO: Epoch 6972/9999, Iter 348560: Loss = 0.013527672737836838, lr = [5e-05] +[2024-05-25 08:18:46,656] - INFO: Epoch 6972/9999, Iter 348580: Loss = 0.010867743752896786, lr = [5e-05] +[2024-05-25 08:19:15,503] - INFO: Epoch 6973/9999, Iter 348600: Loss = 0.013312825933098793, lr = [5e-05] +[2024-05-25 08:19:43,335] - INFO: Epoch 6973/9999, Iter 348620: Loss = 0.01471826620399952, lr = [5e-05] +[2024-05-25 08:20:10,657] - INFO: Epoch 6973/9999, Iter 348640: Loss = 0.010342995636165142, lr = [5e-05] +[2024-05-25 08:20:39,999] - INFO: Epoch 6974/9999, Iter 348660: Loss = 0.01538170874118805, lr = [5e-05] +[2024-05-25 08:21:07,668] - INFO: Epoch 6974/9999, Iter 348680: Loss = 0.010717586614191532, lr = [5e-05] +[2024-05-25 08:21:36,630] - INFO: Epoch 6975/9999, Iter 348700: Loss = 0.013142131268978119, lr = [5e-05] +[2024-05-25 08:22:04,179] - INFO: Epoch 6975/9999, Iter 348720: Loss = 0.00981188379228115, lr = [5e-05] +[2024-05-25 08:22:31,101] - INFO: Epoch 6975/9999, Iter 348740: Loss = 0.013274605385959148, lr = [5e-05] +[2024-05-25 08:22:43,361] - INFO: Evaluate at epoch 6975! +[2024-05-25 08:22:47,668] - INFO: Eval PSNR (max): 38.065 (6755) SSIM (max): 0.9611 (5335) +[2024-05-25 08:22:47,669] - INFO: Eval PSNR (current): 38.033 (6975) SSIM (current): 0.9610 (6975) +[2024-05-25 08:22:47,669] - INFO: Evaluation over. +[2024-05-25 08:23:05,719] - INFO: Epoch 6976/9999, Iter 348760: Loss = 0.014393121935427189, lr = [5e-05] +[2024-05-25 08:23:32,494] - INFO: Epoch 6976/9999, Iter 348780: Loss = 0.010406261309981346, lr = [5e-05] +[2024-05-25 08:24:01,887] - INFO: Epoch 6977/9999, Iter 348800: Loss = 0.014877493493258953, lr = [5e-05] +[2024-05-25 08:24:29,727] - INFO: Epoch 6977/9999, Iter 348820: Loss = 0.015414414927363396, lr = [5e-05] +[2024-05-25 08:24:56,942] - INFO: Epoch 6977/9999, Iter 348840: Loss = 0.012292464263737202, lr = [5e-05] +[2024-05-25 08:25:26,442] - INFO: Epoch 6978/9999, Iter 348860: Loss = 0.01027714740484953, lr = [5e-05] +[2024-05-25 08:25:53,695] - INFO: Epoch 6978/9999, Iter 348880: Loss = 0.015822626650333405, lr = [5e-05] +[2024-05-25 08:26:23,023] - INFO: Epoch 6979/9999, Iter 348900: Loss = 0.011620516888797283, lr = [5e-05] +[2024-05-25 08:26:50,806] - INFO: Epoch 6979/9999, Iter 348920: Loss = 0.01829843781888485, lr = [5e-05] +[2024-05-25 08:27:17,831] - INFO: Epoch 6979/9999, Iter 348940: Loss = 0.011009602807462215, lr = [5e-05] +[2024-05-25 08:27:46,071] - INFO: Epoch 6980/9999, Iter 348960: Loss = 0.01364496536552906, lr = [5e-05] +[2024-05-25 08:28:13,994] - INFO: Epoch 6980/9999, Iter 348980: Loss = 0.0120360367000103, lr = [5e-05] +[2024-05-25 08:28:40,321] - INFO: Evaluate at epoch 6980! +[2024-05-25 08:28:46,184] - INFO: Eval PSNR (max): 38.069 (6980) SSIM (max): 0.9611 (5335) +[2024-05-25 08:28:46,185] - INFO: Eval PSNR (current): 38.069 (6980) SSIM (current): 0.9610 (6980) +[2024-05-25 08:28:46,185] - INFO: Evaluation over. +[2024-05-25 08:28:50,819] - INFO: Epoch 6981/9999, Iter 349000: Loss = 0.012117237783968449, lr = [5e-05] +[2024-05-25 08:29:19,241] - INFO: Epoch 6981/9999, Iter 349020: Loss = 0.011412465944886208, lr = [5e-05] +[2024-05-25 08:29:46,357] - INFO: Epoch 6981/9999, Iter 349040: Loss = 0.009387184865772724, lr = [5e-05] +[2024-05-25 08:30:14,858] - INFO: Epoch 6982/9999, Iter 349060: Loss = 0.013095037080347538, lr = [5e-05] +[2024-05-25 08:30:41,487] - INFO: Epoch 6982/9999, Iter 349080: Loss = 0.015583757311105728, lr = [5e-05] +[2024-05-25 08:31:10,688] - INFO: Epoch 6983/9999, Iter 349100: Loss = 0.014711708761751652, lr = [5e-05] +[2024-05-25 08:31:38,995] - INFO: Epoch 6983/9999, Iter 349120: Loss = 0.015176694840192795, lr = [5e-05] +[2024-05-25 08:32:06,622] - INFO: Epoch 6983/9999, Iter 349140: Loss = 0.014368511736392975, lr = [5e-05] +[2024-05-25 08:32:35,075] - INFO: Epoch 6984/9999, Iter 349160: Loss = 0.013410921208560467, lr = [5e-05] +[2024-05-25 08:33:01,950] - INFO: Epoch 6984/9999, Iter 349180: Loss = 0.009076346643269062, lr = [5e-05] +[2024-05-25 08:33:30,744] - INFO: Epoch 6985/9999, Iter 349200: Loss = 0.010139785706996918, lr = [5e-05] +[2024-05-25 08:33:58,720] - INFO: Epoch 6985/9999, Iter 349220: Loss = 0.01139290165156126, lr = [5e-05] +[2024-05-25 08:34:27,179] - INFO: Epoch 6985/9999, Iter 349240: Loss = 0.012426542118191719, lr = [5e-05] +[2024-05-25 08:34:38,845] - INFO: Evaluate at epoch 6985! +[2024-05-25 08:34:42,956] - INFO: Eval PSNR (max): 38.069 (6980) SSIM (max): 0.9611 (5335) +[2024-05-25 08:34:42,957] - INFO: Eval PSNR (current): 38.044 (6985) SSIM (current): 0.9609 (6985) +[2024-05-25 08:34:42,957] - INFO: Evaluation over. +[2024-05-25 08:35:00,730] - INFO: Epoch 6986/9999, Iter 349260: Loss = 0.013728023506700993, lr = [5e-05] +[2024-05-25 08:35:27,870] - INFO: Epoch 6986/9999, Iter 349280: Loss = 0.012364791706204414, lr = [5e-05] +[2024-05-25 08:35:57,659] - INFO: Epoch 6987/9999, Iter 349300: Loss = 0.00880185142159462, lr = [5e-05] +[2024-05-25 08:36:25,561] - INFO: Epoch 6987/9999, Iter 349320: Loss = 0.0073874108493328094, lr = [5e-05] +[2024-05-25 08:36:53,123] - INFO: Epoch 6987/9999, Iter 349340: Loss = 0.011412280611693859, lr = [5e-05] +[2024-05-25 08:37:22,794] - INFO: Epoch 6988/9999, Iter 349360: Loss = 0.012964664027094841, lr = [5e-05] +[2024-05-25 08:37:50,242] - INFO: Epoch 6988/9999, Iter 349380: Loss = 0.008601503446698189, lr = [5e-05] +[2024-05-25 08:38:19,627] - INFO: Epoch 6989/9999, Iter 349400: Loss = 0.014487129636108875, lr = [5e-05] +[2024-05-25 08:38:47,375] - INFO: Epoch 6989/9999, Iter 349420: Loss = 0.011192107573151588, lr = [5e-05] +[2024-05-25 08:39:15,806] - INFO: Epoch 6989/9999, Iter 349440: Loss = 0.008497942239046097, lr = [5e-05] +[2024-05-25 08:39:44,083] - INFO: Epoch 6990/9999, Iter 349460: Loss = 0.012605797499418259, lr = [5e-05] +[2024-05-25 08:40:10,743] - INFO: Epoch 6990/9999, Iter 349480: Loss = 0.008444257080554962, lr = [5e-05] +[2024-05-25 08:40:37,220] - INFO: Evaluate at epoch 6990! +[2024-05-25 08:40:41,315] - INFO: Eval PSNR (max): 38.069 (6980) SSIM (max): 0.9611 (5335) +[2024-05-25 08:40:41,315] - INFO: Eval PSNR (current): 38.005 (6990) SSIM (current): 0.9608 (6990) +[2024-05-25 08:40:41,315] - INFO: Evaluation over. +[2024-05-25 08:40:45,678] - INFO: Epoch 6991/9999, Iter 349500: Loss = 0.018303973600268364, lr = [5e-05] +[2024-05-25 08:41:12,963] - INFO: Epoch 6991/9999, Iter 349520: Loss = 0.01854989118874073, lr = [5e-05] +[2024-05-25 08:41:39,740] - INFO: Epoch 6991/9999, Iter 349540: Loss = 0.01247929222881794, lr = [5e-05] +[2024-05-25 08:42:08,842] - INFO: Epoch 6992/9999, Iter 349560: Loss = 0.010815410874783993, lr = [5e-05] +[2024-05-25 08:42:35,667] - INFO: Epoch 6992/9999, Iter 349580: Loss = 0.009468848817050457, lr = [5e-05] +[2024-05-25 08:43:05,240] - INFO: Epoch 6993/9999, Iter 349600: Loss = 0.019032085314393044, lr = [5e-05] +[2024-05-25 08:43:32,161] - INFO: Epoch 6993/9999, Iter 349620: Loss = 0.011279631406068802, lr = [5e-05] +[2024-05-25 08:43:59,593] - INFO: Epoch 6993/9999, Iter 349640: Loss = 0.008512504398822784, lr = [5e-05] +[2024-05-25 08:44:28,971] - INFO: Epoch 6994/9999, Iter 349660: Loss = 0.01719668135046959, lr = [5e-05] +[2024-05-25 08:44:57,316] - INFO: Epoch 6994/9999, Iter 349680: Loss = 0.01035713404417038, lr = [5e-05] +[2024-05-25 08:45:25,491] - INFO: Epoch 6995/9999, Iter 349700: Loss = 0.0094111617654562, lr = [5e-05] +[2024-05-25 08:45:52,630] - INFO: Epoch 6995/9999, Iter 349720: Loss = 0.011121361516416073, lr = [5e-05] +[2024-05-25 08:46:19,965] - INFO: Epoch 6995/9999, Iter 349740: Loss = 0.011028996668756008, lr = [5e-05] +[2024-05-25 08:46:32,664] - INFO: Evaluate at epoch 6995! +[2024-05-25 08:46:36,762] - INFO: Eval PSNR (max): 38.069 (6980) SSIM (max): 0.9611 (5335) +[2024-05-25 08:46:36,762] - INFO: Eval PSNR (current): 38.051 (6995) SSIM (current): 0.9610 (6995) +[2024-05-25 08:46:36,762] - INFO: Evaluation over. +[2024-05-25 08:46:55,666] - INFO: Epoch 6996/9999, Iter 349760: Loss = 0.009107135236263275, lr = [5e-05] +[2024-05-25 08:47:23,268] - INFO: Epoch 6996/9999, Iter 349780: Loss = 0.013027387671172619, lr = [5e-05] +[2024-05-25 08:47:51,751] - INFO: Epoch 6997/9999, Iter 349800: Loss = 0.009479970671236515, lr = [5e-05] +[2024-05-25 08:48:18,154] - INFO: Epoch 6997/9999, Iter 349820: Loss = 0.011423257179558277, lr = [5e-05] +[2024-05-25 08:48:45,451] - INFO: Epoch 6997/9999, Iter 349840: Loss = 0.01841849274933338, lr = [5e-05] +[2024-05-25 08:49:14,106] - INFO: Epoch 6998/9999, Iter 349860: Loss = 0.010107243433594704, lr = [5e-05] +[2024-05-25 08:49:41,855] - INFO: Epoch 6998/9999, Iter 349880: Loss = 0.012104243040084839, lr = [5e-05] +[2024-05-25 08:50:11,235] - INFO: Epoch 6999/9999, Iter 349900: Loss = 0.01035234984010458, lr = [5e-05] +[2024-05-25 08:50:38,935] - INFO: Epoch 6999/9999, Iter 349920: Loss = 0.013281283900141716, lr = [5e-05] +[2024-05-25 08:51:07,124] - INFO: Epoch 6999/9999, Iter 349940: Loss = 0.015533939935266972, lr = [5e-05] +[2024-05-25 08:51:35,537] - INFO: Epoch 7000/9999, Iter 349960: Loss = 0.012842917814850807, lr = [2.5e-05] +[2024-05-25 08:52:03,149] - INFO: Epoch 7000/9999, Iter 349980: Loss = 0.012928848154842854, lr = [2.5e-05] +[2024-05-25 08:52:29,358] - INFO: Evaluate at epoch 7000! +[2024-05-25 08:52:33,463] - INFO: Eval PSNR (max): 38.069 (6980) SSIM (max): 0.9611 (5335) +[2024-05-25 08:52:33,463] - INFO: Eval PSNR (current): 38.049 (7000) SSIM (current): 0.9610 (7000) +[2024-05-25 08:52:33,463] - INFO: Evaluation over. +[2024-05-25 08:52:38,131] - INFO: Epoch 7001/9999, Iter 350000: Loss = 0.010533911176025867, lr = [2.5e-05] +[2024-05-25 08:53:05,491] - INFO: Epoch 7001/9999, Iter 350020: Loss = 0.009047410450875759, lr = [2.5e-05] +[2024-05-25 08:53:33,840] - INFO: Epoch 7001/9999, Iter 350040: Loss = 0.01959287002682686, lr = [2.5e-05] +[2024-05-25 08:54:02,990] - INFO: Epoch 7002/9999, Iter 350060: Loss = 0.01320021040737629, lr = [2.5e-05] +[2024-05-25 08:54:31,204] - INFO: Epoch 7002/9999, Iter 350080: Loss = 0.011097163893282413, lr = [2.5e-05] +[2024-05-25 08:54:59,910] - INFO: Epoch 7003/9999, Iter 350100: Loss = 0.012969152070581913, lr = [2.5e-05] +[2024-05-25 08:55:27,259] - INFO: Epoch 7003/9999, Iter 350120: Loss = 0.011217223480343819, lr = [2.5e-05] +[2024-05-25 08:55:55,368] - INFO: Epoch 7003/9999, Iter 350140: Loss = 0.010530800558626652, lr = [2.5e-05] +[2024-05-25 08:56:24,320] - INFO: Epoch 7004/9999, Iter 350160: Loss = 0.015703318640589714, lr = [2.5e-05] +[2024-05-25 08:56:51,531] - INFO: Epoch 7004/9999, Iter 350180: Loss = 0.012789697386324406, lr = [2.5e-05] +[2024-05-25 08:57:20,266] - INFO: Epoch 7005/9999, Iter 350200: Loss = 0.011695517227053642, lr = [2.5e-05] +[2024-05-25 08:57:49,121] - INFO: Epoch 7005/9999, Iter 350220: Loss = 0.013083032332360744, lr = [2.5e-05] +[2024-05-25 08:58:17,385] - INFO: Epoch 7005/9999, Iter 350240: Loss = 0.009409906342625618, lr = [2.5e-05] +[2024-05-25 08:58:28,161] - INFO: Evaluate at epoch 7005! +[2024-05-25 08:58:32,248] - INFO: Eval PSNR (max): 38.069 (6980) SSIM (max): 0.9611 (5335) +[2024-05-25 08:58:32,249] - INFO: Eval PSNR (current): 38.058 (7005) SSIM (current): 0.9611 (7005) +[2024-05-25 08:58:32,249] - INFO: Evaluation over. +[2024-05-25 08:58:51,639] - INFO: Epoch 7006/9999, Iter 350260: Loss = 0.012593095190823078, lr = [2.5e-05] +[2024-05-25 08:59:19,139] - INFO: Epoch 7006/9999, Iter 350280: Loss = 0.010767261497676373, lr = [2.5e-05] +[2024-05-25 08:59:46,791] - INFO: Epoch 7007/9999, Iter 350300: Loss = 0.010644886642694473, lr = [2.5e-05] +[2024-05-25 09:00:14,727] - INFO: Epoch 7007/9999, Iter 350320: Loss = 0.01348117645829916, lr = [2.5e-05] +[2024-05-25 09:00:42,597] - INFO: Epoch 7007/9999, Iter 350340: Loss = 0.014349694363772869, lr = [2.5e-05] +[2024-05-25 09:01:10,939] - INFO: Epoch 7008/9999, Iter 350360: Loss = 0.011008244939148426, lr = [2.5e-05] +[2024-05-25 09:01:38,019] - INFO: Epoch 7008/9999, Iter 350380: Loss = 0.01144684012979269, lr = [2.5e-05] +[2024-05-25 09:02:06,923] - INFO: Epoch 7009/9999, Iter 350400: Loss = 0.013560188934206963, lr = [2.5e-05] +[2024-05-25 09:02:35,676] - INFO: Epoch 7009/9999, Iter 350420: Loss = 0.011709983460605145, lr = [2.5e-05] +[2024-05-25 09:03:02,679] - INFO: Epoch 7009/9999, Iter 350440: Loss = 0.014336252585053444, lr = [2.5e-05] +[2024-05-25 09:03:31,727] - INFO: Epoch 7010/9999, Iter 350460: Loss = 0.01097275409847498, lr = [2.5e-05] +[2024-05-25 09:03:59,240] - INFO: Epoch 7010/9999, Iter 350480: Loss = 0.012745182029902935, lr = [2.5e-05] +[2024-05-25 09:04:25,709] - INFO: Evaluate at epoch 7010! +[2024-05-25 09:04:29,783] - INFO: Eval PSNR (max): 38.069 (6980) SSIM (max): 0.9611 (5335) +[2024-05-25 09:04:29,783] - INFO: Eval PSNR (current): 38.043 (7010) SSIM (current): 0.9611 (7010) +[2024-05-25 09:04:29,783] - INFO: Evaluation over. +[2024-05-25 09:04:34,372] - INFO: Epoch 7011/9999, Iter 350500: Loss = 0.009509344585239887, lr = [2.5e-05] +[2024-05-25 09:05:02,391] - INFO: Epoch 7011/9999, Iter 350520: Loss = 0.010209346190094948, lr = [2.5e-05] +[2024-05-25 09:05:29,158] - INFO: Epoch 7011/9999, Iter 350540: Loss = 0.013791066594421864, lr = [2.5e-05] +[2024-05-25 09:05:59,069] - INFO: Epoch 7012/9999, Iter 350560: Loss = 0.016012057662010193, lr = [2.5e-05] +[2024-05-25 09:06:26,451] - INFO: Epoch 7012/9999, Iter 350580: Loss = 0.008194748312234879, lr = [2.5e-05] +[2024-05-25 09:06:55,991] - INFO: Epoch 7013/9999, Iter 350600: Loss = 0.01136559247970581, lr = [2.5e-05] +[2024-05-25 09:07:23,144] - INFO: Epoch 7013/9999, Iter 350620: Loss = 0.012337123043835163, lr = [2.5e-05] +[2024-05-25 09:07:50,363] - INFO: Epoch 7013/9999, Iter 350640: Loss = 0.011098764836788177, lr = [2.5e-05] +[2024-05-25 09:08:18,722] - INFO: Epoch 7014/9999, Iter 350660: Loss = 0.012155931442975998, lr = [2.5e-05] +[2024-05-25 09:08:46,711] - INFO: Epoch 7014/9999, Iter 350680: Loss = 0.012711231596767902, lr = [2.5e-05] +[2024-05-25 09:09:16,794] - INFO: Epoch 7015/9999, Iter 350700: Loss = 0.016258252784609795, lr = [2.5e-05] +[2024-05-25 09:09:44,733] - INFO: Epoch 7015/9999, Iter 350720: Loss = 0.011472739279270172, lr = [2.5e-05] +[2024-05-25 09:10:11,147] - INFO: Epoch 7015/9999, Iter 350740: Loss = 0.007503268774598837, lr = [2.5e-05] +[2024-05-25 09:10:23,622] - INFO: Evaluate at epoch 7015! +[2024-05-25 09:10:27,711] - INFO: Eval PSNR (max): 38.069 (6980) SSIM (max): 0.9611 (5335) +[2024-05-25 09:10:27,711] - INFO: Eval PSNR (current): 38.041 (7015) SSIM (current): 0.9609 (7015) +[2024-05-25 09:10:27,711] - INFO: Evaluation over. +[2024-05-25 09:10:46,031] - INFO: Epoch 7016/9999, Iter 350760: Loss = 0.016506614163517952, lr = [2.5e-05] +[2024-05-25 09:11:12,357] - INFO: Epoch 7016/9999, Iter 350780: Loss = 0.012216896750032902, lr = [2.5e-05] +[2024-05-25 09:11:41,572] - INFO: Epoch 7017/9999, Iter 350800: Loss = 0.0106364656239748, lr = [2.5e-05] +[2024-05-25 09:12:09,041] - INFO: Epoch 7017/9999, Iter 350820: Loss = 0.02328512817621231, lr = [2.5e-05] +[2024-05-25 09:12:37,478] - INFO: Epoch 7017/9999, Iter 350840: Loss = 0.011557434685528278, lr = [2.5e-05] +[2024-05-25 09:13:06,448] - INFO: Epoch 7018/9999, Iter 350860: Loss = 0.014447523280978203, lr = [2.5e-05] +[2024-05-25 09:13:34,628] - INFO: Epoch 7018/9999, Iter 350880: Loss = 0.011433755978941917, lr = [2.5e-05] +[2024-05-25 09:14:03,235] - INFO: Epoch 7019/9999, Iter 350900: Loss = 0.011265749111771584, lr = [2.5e-05] +[2024-05-25 09:14:31,195] - INFO: Epoch 7019/9999, Iter 350920: Loss = 0.021553989499807358, lr = [2.5e-05] +[2024-05-25 09:14:58,003] - INFO: Epoch 7019/9999, Iter 350940: Loss = 0.008754896931350231, lr = [2.5e-05] +[2024-05-25 09:15:27,027] - INFO: Epoch 7020/9999, Iter 350960: Loss = 0.013906742446124554, lr = [2.5e-05] +[2024-05-25 09:15:53,330] - INFO: Epoch 7020/9999, Iter 350980: Loss = 0.008907685056328773, lr = [2.5e-05] +[2024-05-25 09:16:19,457] - INFO: Evaluate at epoch 7020! +[2024-05-25 09:16:23,540] - INFO: Eval PSNR (max): 38.069 (6980) SSIM (max): 0.9611 (5335) +[2024-05-25 09:16:23,540] - INFO: Eval PSNR (current): 38.068 (7020) SSIM (current): 0.9610 (7020) +[2024-05-25 09:16:23,540] - INFO: Evaluation over. +[2024-05-25 09:16:28,095] - INFO: Epoch 7021/9999, Iter 351000: Loss = 0.007418125867843628, lr = [2.5e-05] +[2024-05-25 09:16:56,153] - INFO: Epoch 7021/9999, Iter 351020: Loss = 0.016046013683080673, lr = [2.5e-05] +[2024-05-25 09:17:23,539] - INFO: Epoch 7021/9999, Iter 351040: Loss = 0.012198292650282383, lr = [2.5e-05] +[2024-05-25 09:17:52,647] - INFO: Epoch 7022/9999, Iter 351060: Loss = 0.012231281958520412, lr = [2.5e-05] +[2024-05-25 09:18:20,134] - INFO: Epoch 7022/9999, Iter 351080: Loss = 0.014875714667141438, lr = [2.5e-05] +[2024-05-25 09:18:49,271] - INFO: Epoch 7023/9999, Iter 351100: Loss = 0.014310933649539948, lr = [2.5e-05] +[2024-05-25 09:19:16,385] - INFO: Epoch 7023/9999, Iter 351120: Loss = 0.009487934410572052, lr = [2.5e-05] +[2024-05-25 09:19:44,283] - INFO: Epoch 7023/9999, Iter 351140: Loss = 0.011262102983891964, lr = [2.5e-05] +[2024-05-25 09:20:12,905] - INFO: Epoch 7024/9999, Iter 351160: Loss = 0.013538993895053864, lr = [2.5e-05] +[2024-05-25 09:20:40,694] - INFO: Epoch 7024/9999, Iter 351180: Loss = 0.011074850335717201, lr = [2.5e-05] +[2024-05-25 09:21:09,792] - INFO: Epoch 7025/9999, Iter 351200: Loss = 0.009934275411069393, lr = [2.5e-05] +[2024-05-25 09:21:37,831] - INFO: Epoch 7025/9999, Iter 351220: Loss = 0.012461183592677116, lr = [2.5e-05] +[2024-05-25 09:22:05,763] - INFO: Epoch 7025/9999, Iter 351240: Loss = 0.018498999997973442, lr = [2.5e-05] +[2024-05-25 09:22:17,848] - INFO: Evaluate at epoch 7025! +[2024-05-25 09:22:24,019] - INFO: Eval PSNR (max): 38.081 (7025) SSIM (max): 0.9611 (5335) +[2024-05-25 09:22:24,019] - INFO: Eval PSNR (current): 38.081 (7025) SSIM (current): 0.9610 (7025) +[2024-05-25 09:22:24,020] - INFO: Evaluation over. +[2024-05-25 09:22:42,890] - INFO: Epoch 7026/9999, Iter 351260: Loss = 0.017331406474113464, lr = [2.5e-05] +[2024-05-25 09:23:10,677] - INFO: Epoch 7026/9999, Iter 351280: Loss = 0.016816403716802597, lr = [2.5e-05] +[2024-05-25 09:23:40,057] - INFO: Epoch 7027/9999, Iter 351300: Loss = 0.013037014752626419, lr = [2.5e-05] +[2024-05-25 09:24:06,819] - INFO: Epoch 7027/9999, Iter 351320: Loss = 0.015941061079502106, lr = [2.5e-05] +[2024-05-25 09:24:34,891] - INFO: Epoch 7027/9999, Iter 351340: Loss = 0.011318879202008247, lr = [2.5e-05] +[2024-05-25 09:25:04,314] - INFO: Epoch 7028/9999, Iter 351360: Loss = 0.011278573423624039, lr = [2.5e-05] +[2024-05-25 09:25:32,697] - INFO: Epoch 7028/9999, Iter 351380: Loss = 0.015558015555143356, lr = [2.5e-05] +[2024-05-25 09:26:01,492] - INFO: Epoch 7029/9999, Iter 351400: Loss = 0.014307980425655842, lr = [2.5e-05] +[2024-05-25 09:26:29,620] - INFO: Epoch 7029/9999, Iter 351420: Loss = 0.007540482096374035, lr = [2.5e-05] +[2024-05-25 09:26:57,878] - INFO: Epoch 7029/9999, Iter 351440: Loss = 0.010290545411407948, lr = [2.5e-05] +[2024-05-25 09:27:27,539] - INFO: Epoch 7030/9999, Iter 351460: Loss = 0.011103784665465355, lr = [2.5e-05] +[2024-05-25 09:27:54,863] - INFO: Epoch 7030/9999, Iter 351480: Loss = 0.01037614792585373, lr = [2.5e-05] +[2024-05-25 09:28:20,719] - INFO: Evaluate at epoch 7030! +[2024-05-25 09:28:26,770] - INFO: Eval PSNR (max): 38.081 (7030) SSIM (max): 0.9611 (5335) +[2024-05-25 09:28:26,771] - INFO: Eval PSNR (current): 38.081 (7030) SSIM (current): 0.9610 (7030) +[2024-05-25 09:28:26,771] - INFO: Evaluation over. +[2024-05-25 09:28:31,603] - INFO: Epoch 7031/9999, Iter 351500: Loss = 0.013698807917535305, lr = [2.5e-05] +[2024-05-25 09:28:59,291] - INFO: Epoch 7031/9999, Iter 351520: Loss = 0.013033262453973293, lr = [2.5e-05] +[2024-05-25 09:29:26,959] - INFO: Epoch 7031/9999, Iter 351540: Loss = 0.010000865906476974, lr = [2.5e-05] +[2024-05-25 09:29:55,085] - INFO: Epoch 7032/9999, Iter 351560: Loss = 0.016819659620523453, lr = [2.5e-05] +[2024-05-25 09:30:22,450] - INFO: Epoch 7032/9999, Iter 351580: Loss = 0.009047023020684719, lr = [2.5e-05] +[2024-05-25 09:30:51,786] - INFO: Epoch 7033/9999, Iter 351600: Loss = 0.014842390082776546, lr = [2.5e-05] +[2024-05-25 09:31:20,061] - INFO: Epoch 7033/9999, Iter 351620: Loss = 0.010460794903337955, lr = [2.5e-05] +[2024-05-25 09:31:48,119] - INFO: Epoch 7033/9999, Iter 351640: Loss = 0.01472000777721405, lr = [2.5e-05] +[2024-05-25 09:32:16,107] - INFO: Epoch 7034/9999, Iter 351660: Loss = 0.012692151591181755, lr = [2.5e-05] +[2024-05-25 09:32:43,412] - INFO: Epoch 7034/9999, Iter 351680: Loss = 0.012384734116494656, lr = [2.5e-05] +[2024-05-25 09:33:13,118] - INFO: Epoch 7035/9999, Iter 351700: Loss = 0.012145409360527992, lr = [2.5e-05] +[2024-05-25 09:33:40,959] - INFO: Epoch 7035/9999, Iter 351720: Loss = 0.01656842976808548, lr = [2.5e-05] +[2024-05-25 09:34:08,918] - INFO: Epoch 7035/9999, Iter 351740: Loss = 0.009434361942112446, lr = [2.5e-05] +[2024-05-25 09:34:21,550] - INFO: Evaluate at epoch 7035! +[2024-05-25 09:34:25,629] - INFO: Eval PSNR (max): 38.081 (7030) SSIM (max): 0.9611 (5335) +[2024-05-25 09:34:25,629] - INFO: Eval PSNR (current): 38.078 (7035) SSIM (current): 0.9611 (7035) +[2024-05-25 09:34:25,630] - INFO: Evaluation over. +[2024-05-25 09:34:43,981] - INFO: Epoch 7036/9999, Iter 351760: Loss = 0.012680965475738049, lr = [2.5e-05] +[2024-05-25 09:35:10,699] - INFO: Epoch 7036/9999, Iter 351780: Loss = 0.014714347198605537, lr = [2.5e-05] +[2024-05-25 09:35:39,232] - INFO: Epoch 7037/9999, Iter 351800: Loss = 0.00876551028341055, lr = [2.5e-05] +[2024-05-25 09:36:07,417] - INFO: Epoch 7037/9999, Iter 351820: Loss = 0.012946159578859806, lr = [2.5e-05] +[2024-05-25 09:36:35,299] - INFO: Epoch 7037/9999, Iter 351840: Loss = 0.012488476000726223, lr = [2.5e-05] +[2024-05-25 09:37:04,147] - INFO: Epoch 7038/9999, Iter 351860: Loss = 0.011183835566043854, lr = [2.5e-05] +[2024-05-25 09:37:32,603] - INFO: Epoch 7038/9999, Iter 351880: Loss = 0.01317132543772459, lr = [2.5e-05] +[2024-05-25 09:38:00,823] - INFO: Epoch 7039/9999, Iter 351900: Loss = 0.0114463921636343, lr = [2.5e-05] +[2024-05-25 09:38:28,690] - INFO: Epoch 7039/9999, Iter 351920: Loss = 0.009932306595146656, lr = [2.5e-05] +[2024-05-25 09:38:56,313] - INFO: Epoch 7039/9999, Iter 351940: Loss = 0.010867727920413017, lr = [2.5e-05] +[2024-05-25 09:39:25,593] - INFO: Epoch 7040/9999, Iter 351960: Loss = 0.016075504943728447, lr = [2.5e-05] +[2024-05-25 09:39:54,042] - INFO: Epoch 7040/9999, Iter 351980: Loss = 0.0094227883964777, lr = [2.5e-05] +[2024-05-25 09:40:19,712] - INFO: Evaluate at epoch 7040! +[2024-05-25 09:40:23,825] - INFO: Eval PSNR (max): 38.081 (7030) SSIM (max): 0.9611 (5335) +[2024-05-25 09:40:23,825] - INFO: Eval PSNR (current): 38.070 (7040) SSIM (current): 0.9610 (7040) +[2024-05-25 09:40:23,825] - INFO: Evaluation over. +[2024-05-25 09:40:28,850] - INFO: Epoch 7041/9999, Iter 352000: Loss = 0.011972538195550442, lr = [2.5e-05] +[2024-05-25 09:40:56,253] - INFO: Epoch 7041/9999, Iter 352020: Loss = 0.0160758625715971, lr = [2.5e-05] +[2024-05-25 09:41:23,129] - INFO: Epoch 7041/9999, Iter 352040: Loss = 0.01808149367570877, lr = [2.5e-05] +[2024-05-25 09:41:52,021] - INFO: Epoch 7042/9999, Iter 352060: Loss = 0.013111066073179245, lr = [2.5e-05] +[2024-05-25 09:42:19,438] - INFO: Epoch 7042/9999, Iter 352080: Loss = 0.012617582455277443, lr = [2.5e-05] +[2024-05-25 09:42:48,211] - INFO: Epoch 7043/9999, Iter 352100: Loss = 0.012336821295320988, lr = [2.5e-05] +[2024-05-25 09:43:15,699] - INFO: Epoch 7043/9999, Iter 352120: Loss = 0.011141805909574032, lr = [2.5e-05] +[2024-05-25 09:43:44,464] - INFO: Epoch 7043/9999, Iter 352140: Loss = 0.019548451527953148, lr = [2.5e-05] +[2024-05-25 09:44:12,791] - INFO: Epoch 7044/9999, Iter 352160: Loss = 0.00970396213233471, lr = [2.5e-05] +[2024-05-25 09:44:40,943] - INFO: Epoch 7044/9999, Iter 352180: Loss = 0.009280361235141754, lr = [2.5e-05] +[2024-05-25 09:45:09,763] - INFO: Epoch 7045/9999, Iter 352200: Loss = 0.011859851889312267, lr = [2.5e-05] +[2024-05-25 09:45:38,223] - INFO: Epoch 7045/9999, Iter 352220: Loss = 0.011383699253201485, lr = [2.5e-05] +[2024-05-25 09:46:05,591] - INFO: Epoch 7045/9999, Iter 352240: Loss = 0.016404159367084503, lr = [2.5e-05] +[2024-05-25 09:46:17,789] - INFO: Evaluate at epoch 7045! +[2024-05-25 09:46:21,810] - INFO: Eval PSNR (max): 38.081 (7030) SSIM (max): 0.9611 (5335) +[2024-05-25 09:46:21,810] - INFO: Eval PSNR (current): 38.068 (7045) SSIM (current): 0.9610 (7045) +[2024-05-25 09:46:21,810] - INFO: Evaluation over. +[2024-05-25 09:46:40,559] - INFO: Epoch 7046/9999, Iter 352260: Loss = 0.016755804419517517, lr = [2.5e-05] +[2024-05-25 09:47:08,601] - INFO: Epoch 7046/9999, Iter 352280: Loss = 0.014042536728084087, lr = [2.5e-05] +[2024-05-25 09:47:36,899] - INFO: Epoch 7047/9999, Iter 352300: Loss = 0.010273462161421776, lr = [2.5e-05] +[2024-05-25 09:48:04,751] - INFO: Epoch 7047/9999, Iter 352320: Loss = 0.013582107611000538, lr = [2.5e-05] +[2024-05-25 09:48:32,921] - INFO: Epoch 7047/9999, Iter 352340: Loss = 0.023674797266721725, lr = [2.5e-05] +[2024-05-25 09:49:02,035] - INFO: Epoch 7048/9999, Iter 352360: Loss = 0.010983265936374664, lr = [2.5e-05] +[2024-05-25 09:49:29,947] - INFO: Epoch 7048/9999, Iter 352380: Loss = 0.012084881775081158, lr = [2.5e-05] +[2024-05-25 09:49:58,919] - INFO: Epoch 7049/9999, Iter 352400: Loss = 0.016644777730107307, lr = [2.5e-05] +[2024-05-25 09:50:27,220] - INFO: Epoch 7049/9999, Iter 352420: Loss = 0.013996453024446964, lr = [2.5e-05] +[2024-05-25 09:50:55,339] - INFO: Epoch 7049/9999, Iter 352440: Loss = 0.014886434189975262, lr = [2.5e-05] +[2024-05-25 09:51:24,354] - INFO: Epoch 7050/9999, Iter 352460: Loss = 0.00870769564062357, lr = [2.5e-05] +[2024-05-25 09:51:51,795] - INFO: Epoch 7050/9999, Iter 352480: Loss = 0.010030699893832207, lr = [2.5e-05] +[2024-05-25 09:52:17,751] - INFO: Evaluate at epoch 7050! +[2024-05-25 09:52:21,858] - INFO: Eval PSNR (max): 38.081 (7030) SSIM (max): 0.9611 (5335) +[2024-05-25 09:52:21,859] - INFO: Eval PSNR (current): 38.063 (7050) SSIM (current): 0.9611 (7050) +[2024-05-25 09:52:21,859] - INFO: Evaluation over. +[2024-05-25 09:52:26,631] - INFO: Epoch 7051/9999, Iter 352500: Loss = 0.011857805773615837, lr = [2.5e-05] +[2024-05-25 09:52:54,677] - INFO: Epoch 7051/9999, Iter 352520: Loss = 0.010640496388077736, lr = [2.5e-05] +[2024-05-25 09:53:22,528] - INFO: Epoch 7051/9999, Iter 352540: Loss = 0.010501976124942303, lr = [2.5e-05] +[2024-05-25 09:53:51,370] - INFO: Epoch 7052/9999, Iter 352560: Loss = 0.014024335891008377, lr = [2.5e-05] +[2024-05-25 09:54:17,415] - INFO: Epoch 7052/9999, Iter 352580: Loss = 0.01696585863828659, lr = [2.5e-05] +[2024-05-25 09:54:46,851] - INFO: Epoch 7053/9999, Iter 352600: Loss = 0.009685364551842213, lr = [2.5e-05] +[2024-05-25 09:55:14,910] - INFO: Epoch 7053/9999, Iter 352620: Loss = 0.014223058708012104, lr = [2.5e-05] +[2024-05-25 09:55:43,062] - INFO: Epoch 7053/9999, Iter 352640: Loss = 0.015275145880877972, lr = [2.5e-05] +[2024-05-25 09:56:11,223] - INFO: Epoch 7054/9999, Iter 352660: Loss = 0.0116603784263134, lr = [2.5e-05] +[2024-05-25 09:56:38,506] - INFO: Epoch 7054/9999, Iter 352680: Loss = 0.013395030982792377, lr = [2.5e-05] +[2024-05-25 09:57:08,323] - INFO: Epoch 7055/9999, Iter 352700: Loss = 0.012007859535515308, lr = [2.5e-05] +[2024-05-25 09:57:36,138] - INFO: Epoch 7055/9999, Iter 352720: Loss = 0.015422371216118336, lr = [2.5e-05] +[2024-05-25 09:58:03,144] - INFO: Epoch 7055/9999, Iter 352740: Loss = 0.013780750334262848, lr = [2.5e-05] +[2024-05-25 09:58:15,210] - INFO: Evaluate at epoch 7055! +[2024-05-25 09:58:19,220] - INFO: Eval PSNR (max): 38.081 (7030) SSIM (max): 0.9611 (5335) +[2024-05-25 09:58:19,220] - INFO: Eval PSNR (current): 38.078 (7055) SSIM (current): 0.9611 (7055) +[2024-05-25 09:58:19,220] - INFO: Evaluation over. +[2024-05-25 09:58:37,702] - INFO: Epoch 7056/9999, Iter 352760: Loss = 0.01572582498192787, lr = [2.5e-05] +[2024-05-25 09:59:06,735] - INFO: Epoch 7056/9999, Iter 352780: Loss = 0.017488356679677963, lr = [2.5e-05] +[2024-05-25 09:59:34,999] - INFO: Epoch 7057/9999, Iter 352800: Loss = 0.017900768667459488, lr = [2.5e-05] +[2024-05-25 10:00:02,707] - INFO: Epoch 7057/9999, Iter 352820: Loss = 0.012342344969511032, lr = [2.5e-05] +[2024-05-25 10:00:29,355] - INFO: Epoch 7057/9999, Iter 352840: Loss = 0.014207590371370316, lr = [2.5e-05] +[2024-05-25 10:00:59,475] - INFO: Epoch 7058/9999, Iter 352860: Loss = 0.018632827326655388, lr = [2.5e-05] +[2024-05-25 10:01:26,831] - INFO: Epoch 7058/9999, Iter 352880: Loss = 0.01206514798104763, lr = [2.5e-05] +[2024-05-25 10:01:55,991] - INFO: Epoch 7059/9999, Iter 352900: Loss = 0.014646999537944794, lr = [2.5e-05] +[2024-05-25 10:02:23,562] - INFO: Epoch 7059/9999, Iter 352920: Loss = 0.012421464547514915, lr = [2.5e-05] +[2024-05-25 10:02:51,343] - INFO: Epoch 7059/9999, Iter 352940: Loss = 0.013589058071374893, lr = [2.5e-05] +[2024-05-25 10:03:20,013] - INFO: Epoch 7060/9999, Iter 352960: Loss = 0.017828859388828278, lr = [2.5e-05] +[2024-05-25 10:03:48,627] - INFO: Epoch 7060/9999, Iter 352980: Loss = 0.007516657002270222, lr = [2.5e-05] +[2024-05-25 10:04:14,974] - INFO: Evaluate at epoch 7060! +[2024-05-25 10:04:19,085] - INFO: Eval PSNR (max): 38.081 (7030) SSIM (max): 0.9611 (5335) +[2024-05-25 10:04:19,085] - INFO: Eval PSNR (current): 38.076 (7060) SSIM (current): 0.9611 (7060) +[2024-05-25 10:04:19,085] - INFO: Evaluation over. +[2024-05-25 10:04:23,877] - INFO: Epoch 7061/9999, Iter 353000: Loss = 0.014519351534545422, lr = [2.5e-05] +[2024-05-25 10:04:50,807] - INFO: Epoch 7061/9999, Iter 353020: Loss = 0.010561365634202957, lr = [2.5e-05] +[2024-05-25 10:05:17,762] - INFO: Epoch 7061/9999, Iter 353040: Loss = 0.008178393356502056, lr = [2.5e-05] +[2024-05-25 10:05:47,971] - INFO: Epoch 7062/9999, Iter 353060: Loss = 0.015554006211459637, lr = [2.5e-05] +[2024-05-25 10:06:15,651] - INFO: Epoch 7062/9999, Iter 353080: Loss = 0.016459286212921143, lr = [2.5e-05] +[2024-05-25 10:06:43,990] - INFO: Epoch 7063/9999, Iter 353100: Loss = 0.01235050056129694, lr = [2.5e-05] +[2024-05-25 10:07:11,307] - INFO: Epoch 7063/9999, Iter 353120: Loss = 0.010273657739162445, lr = [2.5e-05] +[2024-05-25 10:07:39,542] - INFO: Epoch 7063/9999, Iter 353140: Loss = 0.016641534864902496, lr = [2.5e-05] +[2024-05-25 10:08:08,563] - INFO: Epoch 7064/9999, Iter 353160: Loss = 0.01586603932082653, lr = [2.5e-05] +[2024-05-25 10:08:35,901] - INFO: Epoch 7064/9999, Iter 353180: Loss = 0.017703313380479813, lr = [2.5e-05] +[2024-05-25 10:09:04,523] - INFO: Epoch 7065/9999, Iter 353200: Loss = 0.007575443480163813, lr = [2.5e-05] +[2024-05-25 10:09:32,331] - INFO: Epoch 7065/9999, Iter 353220: Loss = 0.017168162390589714, lr = [2.5e-05] +[2024-05-25 10:09:59,853] - INFO: Epoch 7065/9999, Iter 353240: Loss = 0.013930953107774258, lr = [2.5e-05] +[2024-05-25 10:10:12,003] - INFO: Evaluate at epoch 7065! +[2024-05-25 10:10:16,106] - INFO: Eval PSNR (max): 38.081 (7030) SSIM (max): 0.9611 (5335) +[2024-05-25 10:10:16,106] - INFO: Eval PSNR (current): 38.055 (7065) SSIM (current): 0.9610 (7065) +[2024-05-25 10:10:16,106] - INFO: Evaluation over. +[2024-05-25 10:10:34,845] - INFO: Epoch 7066/9999, Iter 353260: Loss = 0.011641292832791805, lr = [2.5e-05] +[2024-05-25 10:11:01,566] - INFO: Epoch 7066/9999, Iter 353280: Loss = 0.013040480203926563, lr = [2.5e-05] +[2024-05-25 10:11:30,071] - INFO: Epoch 7067/9999, Iter 353300: Loss = 0.011134980246424675, lr = [2.5e-05] +[2024-05-25 10:11:56,915] - INFO: Epoch 7067/9999, Iter 353320: Loss = 0.011437681503593922, lr = [2.5e-05] +[2024-05-25 10:12:23,843] - INFO: Epoch 7067/9999, Iter 353340: Loss = 0.015995178371667862, lr = [2.5e-05] +[2024-05-25 10:12:53,213] - INFO: Epoch 7068/9999, Iter 353360: Loss = 0.010579160414636135, lr = [2.5e-05] +[2024-05-25 10:13:20,937] - INFO: Epoch 7068/9999, Iter 353380: Loss = 0.0128873810172081, lr = [2.5e-05] +[2024-05-25 10:13:50,019] - INFO: Epoch 7069/9999, Iter 353400: Loss = 0.011728663928806782, lr = [2.5e-05] +[2024-05-25 10:14:17,474] - INFO: Epoch 7069/9999, Iter 353420: Loss = 0.009691315703094006, lr = [2.5e-05] +[2024-05-25 10:14:44,398] - INFO: Epoch 7069/9999, Iter 353440: Loss = 0.012423562817275524, lr = [2.5e-05] +[2024-05-25 10:15:14,294] - INFO: Epoch 7070/9999, Iter 353460: Loss = 0.012397932820022106, lr = [2.5e-05] +[2024-05-25 10:15:41,203] - INFO: Epoch 7070/9999, Iter 353480: Loss = 0.010421515442430973, lr = [2.5e-05] +[2024-05-25 10:16:06,589] - INFO: Evaluate at epoch 7070! +[2024-05-25 10:16:10,683] - INFO: Eval PSNR (max): 38.081 (7030) SSIM (max): 0.9611 (5335) +[2024-05-25 10:16:10,684] - INFO: Eval PSNR (current): 38.063 (7070) SSIM (current): 0.9610 (7070) +[2024-05-25 10:16:10,684] - INFO: Evaluation over. +[2024-05-25 10:16:15,550] - INFO: Epoch 7071/9999, Iter 353500: Loss = 0.011220552027225494, lr = [2.5e-05] +[2024-05-25 10:16:43,071] - INFO: Epoch 7071/9999, Iter 353520: Loss = 0.012103539891541004, lr = [2.5e-05] +[2024-05-25 10:17:11,088] - INFO: Epoch 7071/9999, Iter 353540: Loss = 0.013202355243265629, lr = [2.5e-05] +[2024-05-25 10:17:39,754] - INFO: Epoch 7072/9999, Iter 353560: Loss = 0.020456645637750626, lr = [2.5e-05] +[2024-05-25 10:18:06,955] - INFO: Epoch 7072/9999, Iter 353580: Loss = 0.01308805774897337, lr = [2.5e-05] +[2024-05-25 10:18:35,843] - INFO: Epoch 7073/9999, Iter 353600: Loss = 0.012844953685998917, lr = [2.5e-05] +[2024-05-25 10:19:03,794] - INFO: Epoch 7073/9999, Iter 353620: Loss = 0.012219194322824478, lr = [2.5e-05] +[2024-05-25 10:19:32,120] - INFO: Epoch 7073/9999, Iter 353640: Loss = 0.015919584780931473, lr = [2.5e-05] +[2024-05-25 10:20:00,789] - INFO: Epoch 7074/9999, Iter 353660: Loss = 0.01571996882557869, lr = [2.5e-05] +[2024-05-25 10:20:28,239] - INFO: Epoch 7074/9999, Iter 353680: Loss = 0.011119246482849121, lr = [2.5e-05] +[2024-05-25 10:20:57,783] - INFO: Epoch 7075/9999, Iter 353700: Loss = 0.0160922072827816, lr = [2.5e-05] +[2024-05-25 10:21:25,603] - INFO: Epoch 7075/9999, Iter 353720: Loss = 0.011505074799060822, lr = [2.5e-05] +[2024-05-25 10:21:53,075] - INFO: Epoch 7075/9999, Iter 353740: Loss = 0.011589140631258488, lr = [2.5e-05] +[2024-05-25 10:22:05,421] - INFO: Evaluate at epoch 7075! +[2024-05-25 10:22:09,519] - INFO: Eval PSNR (max): 38.081 (7030) SSIM (max): 0.9611 (5335) +[2024-05-25 10:22:09,519] - INFO: Eval PSNR (current): 38.067 (7075) SSIM (current): 0.9610 (7075) +[2024-05-25 10:22:09,520] - INFO: Evaluation over. +[2024-05-25 10:22:27,975] - INFO: Epoch 7076/9999, Iter 353760: Loss = 0.015285059809684753, lr = [2.5e-05] +[2024-05-25 10:22:55,311] - INFO: Epoch 7076/9999, Iter 353780: Loss = 0.015778401866555214, lr = [2.5e-05] +[2024-05-25 10:23:24,479] - INFO: Epoch 7077/9999, Iter 353800: Loss = 0.011416343040764332, lr = [2.5e-05] +[2024-05-25 10:23:52,383] - INFO: Epoch 7077/9999, Iter 353820: Loss = 0.01315001305192709, lr = [2.5e-05] +[2024-05-25 10:24:20,327] - INFO: Epoch 7077/9999, Iter 353840: Loss = 0.009613064117729664, lr = [2.5e-05] +[2024-05-25 10:24:49,788] - INFO: Epoch 7078/9999, Iter 353860: Loss = 0.01377866044640541, lr = [2.5e-05] +[2024-05-25 10:25:17,715] - INFO: Epoch 7078/9999, Iter 353880: Loss = 0.010486999526619911, lr = [2.5e-05] +[2024-05-25 10:25:46,378] - INFO: Epoch 7079/9999, Iter 353900: Loss = 0.014955878257751465, lr = [2.5e-05] +[2024-05-25 10:26:13,742] - INFO: Epoch 7079/9999, Iter 353920: Loss = 0.019870957359671593, lr = [2.5e-05] +[2024-05-25 10:26:41,130] - INFO: Epoch 7079/9999, Iter 353940: Loss = 0.012753782793879509, lr = [2.5e-05] +[2024-05-25 10:27:09,651] - INFO: Epoch 7080/9999, Iter 353960: Loss = 0.017962411046028137, lr = [2.5e-05] +[2024-05-25 10:27:37,219] - INFO: Epoch 7080/9999, Iter 353980: Loss = 0.014261260628700256, lr = [2.5e-05] +[2024-05-25 10:28:03,722] - INFO: Evaluate at epoch 7080! +[2024-05-25 10:28:07,814] - INFO: Eval PSNR (max): 38.081 (7030) SSIM (max): 0.9611 (5335) +[2024-05-25 10:28:07,814] - INFO: Eval PSNR (current): 38.069 (7080) SSIM (current): 0.9611 (7080) +[2024-05-25 10:28:07,814] - INFO: Evaluation over. +[2024-05-25 10:28:12,963] - INFO: Epoch 7081/9999, Iter 354000: Loss = 0.009117132052779198, lr = [2.5e-05] +[2024-05-25 10:28:39,735] - INFO: Epoch 7081/9999, Iter 354020: Loss = 0.012623021379113197, lr = [2.5e-05] +[2024-05-25 10:29:07,963] - INFO: Epoch 7081/9999, Iter 354040: Loss = 0.011179245077073574, lr = [2.5e-05] +[2024-05-25 10:29:36,746] - INFO: Epoch 7082/9999, Iter 354060: Loss = 0.007981037721037865, lr = [2.5e-05] +[2024-05-25 10:30:03,214] - INFO: Epoch 7082/9999, Iter 354080: Loss = 0.01212532352656126, lr = [2.5e-05] +[2024-05-25 10:30:32,435] - INFO: Epoch 7083/9999, Iter 354100: Loss = 0.010133275762200356, lr = [2.5e-05] +[2024-05-25 10:31:01,043] - INFO: Epoch 7083/9999, Iter 354120: Loss = 0.013314631767570972, lr = [2.5e-05] +[2024-05-25 10:31:29,029] - INFO: Epoch 7083/9999, Iter 354140: Loss = 0.01449570246040821, lr = [2.5e-05] +[2024-05-25 10:31:58,402] - INFO: Epoch 7084/9999, Iter 354160: Loss = 0.015021834522485733, lr = [2.5e-05] +[2024-05-25 10:32:26,241] - INFO: Epoch 7084/9999, Iter 354180: Loss = 0.008789543062448502, lr = [2.5e-05] +[2024-05-25 10:32:55,539] - INFO: Epoch 7085/9999, Iter 354200: Loss = 0.014129416085779667, lr = [2.5e-05] +[2024-05-25 10:33:23,349] - INFO: Epoch 7085/9999, Iter 354220: Loss = 0.015922345221042633, lr = [2.5e-05] +[2024-05-25 10:33:50,919] - INFO: Epoch 7085/9999, Iter 354240: Loss = 0.013799107633531094, lr = [2.5e-05] +[2024-05-25 10:34:02,958] - INFO: Evaluate at epoch 7085! +[2024-05-25 10:34:06,984] - INFO: Eval PSNR (max): 38.081 (7030) SSIM (max): 0.9611 (5335) +[2024-05-25 10:34:06,984] - INFO: Eval PSNR (current): 38.056 (7085) SSIM (current): 0.9610 (7085) +[2024-05-25 10:34:06,984] - INFO: Evaluation over. +[2024-05-25 10:34:25,679] - INFO: Epoch 7086/9999, Iter 354260: Loss = 0.018480209633708, lr = [2.5e-05] +[2024-05-25 10:34:53,475] - INFO: Epoch 7086/9999, Iter 354280: Loss = 0.013475325889885426, lr = [2.5e-05] +[2024-05-25 10:35:22,377] - INFO: Epoch 7087/9999, Iter 354300: Loss = 0.009368397295475006, lr = [2.5e-05] +[2024-05-25 10:35:49,347] - INFO: Epoch 7087/9999, Iter 354320: Loss = 0.01227436400949955, lr = [2.5e-05] +[2024-05-25 10:36:16,376] - INFO: Epoch 7087/9999, Iter 354340: Loss = 0.00964224524796009, lr = [2.5e-05] +[2024-05-25 10:36:45,680] - INFO: Epoch 7088/9999, Iter 354360: Loss = 0.017543699592351913, lr = [2.5e-05] +[2024-05-25 10:37:12,860] - INFO: Epoch 7088/9999, Iter 354380: Loss = 0.014189477078616619, lr = [2.5e-05] +[2024-05-25 10:37:41,633] - INFO: Epoch 7089/9999, Iter 354400: Loss = 0.0132732093334198, lr = [2.5e-05] +[2024-05-25 10:38:09,724] - INFO: Epoch 7089/9999, Iter 354420: Loss = 0.01503722369670868, lr = [2.5e-05] +[2024-05-25 10:38:36,352] - INFO: Epoch 7089/9999, Iter 354440: Loss = 0.011207043193280697, lr = [2.5e-05] +[2024-05-25 10:39:05,731] - INFO: Epoch 7090/9999, Iter 354460: Loss = 0.010628854855895042, lr = [2.5e-05] +[2024-05-25 10:39:32,589] - INFO: Epoch 7090/9999, Iter 354480: Loss = 0.013026613742113113, lr = [2.5e-05] +[2024-05-25 10:39:58,686] - INFO: Evaluate at epoch 7090! +[2024-05-25 10:40:02,723] - INFO: Eval PSNR (max): 38.081 (7030) SSIM (max): 0.9611 (5335) +[2024-05-25 10:40:02,723] - INFO: Eval PSNR (current): 38.058 (7090) SSIM (current): 0.9611 (7090) +[2024-05-25 10:40:02,723] - INFO: Evaluation over. +[2024-05-25 10:40:07,043] - INFO: Epoch 7091/9999, Iter 354500: Loss = 0.014999882318079472, lr = [2.5e-05] +[2024-05-25 10:40:34,489] - INFO: Epoch 7091/9999, Iter 354520: Loss = 0.011056531220674515, lr = [2.5e-05] +[2024-05-25 10:41:02,071] - INFO: Epoch 7091/9999, Iter 354540: Loss = 0.012389973737299442, lr = [2.5e-05] +[2024-05-25 10:41:31,595] - INFO: Epoch 7092/9999, Iter 354560: Loss = 0.011219447478652, lr = [2.5e-05] +[2024-05-25 10:41:59,153] - INFO: Epoch 7092/9999, Iter 354580: Loss = 0.02253972552716732, lr = [2.5e-05] +[2024-05-25 10:42:28,367] - INFO: Epoch 7093/9999, Iter 354600: Loss = 0.00987191591411829, lr = [2.5e-05] +[2024-05-25 10:42:56,204] - INFO: Epoch 7093/9999, Iter 354620: Loss = 0.013477850705385208, lr = [2.5e-05] +[2024-05-25 10:43:23,228] - INFO: Epoch 7093/9999, Iter 354640: Loss = 0.010560549795627594, lr = [2.5e-05] +[2024-05-25 10:43:51,730] - INFO: Epoch 7094/9999, Iter 354660: Loss = 0.012613858096301556, lr = [2.5e-05] +[2024-05-25 10:44:19,459] - INFO: Epoch 7094/9999, Iter 354680: Loss = 0.014745879918336868, lr = [2.5e-05] +[2024-05-25 10:44:48,459] - INFO: Epoch 7095/9999, Iter 354700: Loss = 0.01190807856619358, lr = [2.5e-05] +[2024-05-25 10:45:16,784] - INFO: Epoch 7095/9999, Iter 354720: Loss = 0.012792997993528843, lr = [2.5e-05] +[2024-05-25 10:45:44,959] - INFO: Epoch 7095/9999, Iter 354740: Loss = 0.010412770323455334, lr = [2.5e-05] +[2024-05-25 10:45:56,834] - INFO: Evaluate at epoch 7095! +[2024-05-25 10:46:02,513] - INFO: Eval PSNR (max): 38.082 (7095) SSIM (max): 0.9611 (5335) +[2024-05-25 10:46:02,514] - INFO: Eval PSNR (current): 38.082 (7095) SSIM (current): 0.9611 (7095) +[2024-05-25 10:46:02,514] - INFO: Evaluation over. +[2024-05-25 10:46:21,135] - INFO: Epoch 7096/9999, Iter 354760: Loss = 0.011487384326756, lr = [2.5e-05] +[2024-05-25 10:46:48,469] - INFO: Epoch 7096/9999, Iter 354780: Loss = 0.010021948255598545, lr = [2.5e-05] +[2024-05-25 10:47:17,151] - INFO: Epoch 7097/9999, Iter 354800: Loss = 0.013109304010868073, lr = [2.5e-05] +[2024-05-25 10:47:45,005] - INFO: Epoch 7097/9999, Iter 354820: Loss = 0.016128553077578545, lr = [2.5e-05] +[2024-05-25 10:48:12,003] - INFO: Epoch 7097/9999, Iter 354840: Loss = 0.006705448031425476, lr = [2.5e-05] +[2024-05-25 10:48:41,045] - INFO: Epoch 7098/9999, Iter 354860: Loss = 0.010593549348413944, lr = [2.5e-05] +[2024-05-25 10:49:08,519] - INFO: Epoch 7098/9999, Iter 354880: Loss = 0.013111386448144913, lr = [2.5e-05] +[2024-05-25 10:49:37,667] - INFO: Epoch 7099/9999, Iter 354900: Loss = 0.015765029937028885, lr = [2.5e-05] +[2024-05-25 10:50:05,003] - INFO: Epoch 7099/9999, Iter 354920: Loss = 0.01384392473846674, lr = [2.5e-05] +[2024-05-25 10:50:32,524] - INFO: Epoch 7099/9999, Iter 354940: Loss = 0.0169296283274889, lr = [2.5e-05] +[2024-05-25 10:51:01,237] - INFO: Epoch 7100/9999, Iter 354960: Loss = 0.012443029321730137, lr = [2.5e-05] +[2024-05-25 10:51:28,235] - INFO: Epoch 7100/9999, Iter 354980: Loss = 0.012966619804501534, lr = [2.5e-05] +[2024-05-25 10:51:54,541] - INFO: Evaluate at epoch 7100! +[2024-05-25 10:51:58,528] - INFO: Eval PSNR (max): 38.082 (7095) SSIM (max): 0.9611 (5335) +[2024-05-25 10:51:58,529] - INFO: Eval PSNR (current): 38.062 (7100) SSIM (current): 0.9611 (7100) +[2024-05-25 10:51:58,529] - INFO: Evaluation over. +[2024-05-25 10:52:03,029] - INFO: Epoch 7101/9999, Iter 355000: Loss = 0.01970030926167965, lr = [2.5e-05] +[2024-05-25 10:52:30,509] - INFO: Epoch 7101/9999, Iter 355020: Loss = 0.012933908961713314, lr = [2.5e-05] +[2024-05-25 10:52:57,751] - INFO: Epoch 7101/9999, Iter 355040: Loss = 0.013498155400156975, lr = [2.5e-05] +[2024-05-25 10:53:27,135] - INFO: Epoch 7102/9999, Iter 355060: Loss = 0.012827428057789803, lr = [2.5e-05] +[2024-05-25 10:53:54,924] - INFO: Epoch 7102/9999, Iter 355080: Loss = 0.013682887889444828, lr = [2.5e-05] +[2024-05-25 10:54:23,507] - INFO: Epoch 7103/9999, Iter 355100: Loss = 0.014275191351771355, lr = [2.5e-05] +[2024-05-25 10:54:50,441] - INFO: Epoch 7103/9999, Iter 355120: Loss = 0.011663357727229595, lr = [2.5e-05] +[2024-05-25 10:55:17,874] - INFO: Epoch 7103/9999, Iter 355140: Loss = 0.013428830541670322, lr = [2.5e-05] +[2024-05-25 10:55:46,782] - INFO: Epoch 7104/9999, Iter 355160: Loss = 0.009999049827456474, lr = [2.5e-05] +[2024-05-25 10:56:14,795] - INFO: Epoch 7104/9999, Iter 355180: Loss = 0.010287518613040447, lr = [2.5e-05] +[2024-05-25 10:56:43,719] - INFO: Epoch 7105/9999, Iter 355200: Loss = 0.01216629333794117, lr = [2.5e-05] +[2024-05-25 10:57:11,539] - INFO: Epoch 7105/9999, Iter 355220: Loss = 0.011321425437927246, lr = [2.5e-05] +[2024-05-25 10:57:40,043] - INFO: Epoch 7105/9999, Iter 355240: Loss = 0.01827450469136238, lr = [2.5e-05] +[2024-05-25 10:57:51,908] - INFO: Evaluate at epoch 7105! +[2024-05-25 10:57:57,673] - INFO: Eval PSNR (max): 38.084 (7105) SSIM (max): 0.9611 (5335) +[2024-05-25 10:57:57,674] - INFO: Eval PSNR (current): 38.084 (7105) SSIM (current): 0.9611 (7105) +[2024-05-25 10:57:57,674] - INFO: Evaluation over. +[2024-05-25 10:58:15,788] - INFO: Epoch 7106/9999, Iter 355260: Loss = 0.014485914260149002, lr = [2.5e-05] +[2024-05-25 10:58:44,067] - INFO: Epoch 7106/9999, Iter 355280: Loss = 0.01645526848733425, lr = [2.5e-05] +[2024-05-25 10:59:13,061] - INFO: Epoch 7107/9999, Iter 355300: Loss = 0.013006842695176601, lr = [2.5e-05] +[2024-05-25 10:59:40,951] - INFO: Epoch 7107/9999, Iter 355320: Loss = 0.016680840402841568, lr = [2.5e-05] +[2024-05-25 11:00:08,844] - INFO: Epoch 7107/9999, Iter 355340: Loss = 0.008478864096105099, lr = [2.5e-05] +[2024-05-25 11:00:37,679] - INFO: Epoch 7108/9999, Iter 355360: Loss = 0.018011394888162613, lr = [2.5e-05] +[2024-05-25 11:01:06,023] - INFO: Epoch 7108/9999, Iter 355380: Loss = 0.01140504889190197, lr = [2.5e-05] +[2024-05-25 11:01:34,815] - INFO: Epoch 7109/9999, Iter 355400: Loss = 0.012530202977359295, lr = [2.5e-05] +[2024-05-25 11:02:02,905] - INFO: Epoch 7109/9999, Iter 355420: Loss = 0.01332434918731451, lr = [2.5e-05] +[2024-05-25 11:02:31,363] - INFO: Epoch 7109/9999, Iter 355440: Loss = 0.014288589358329773, lr = [2.5e-05] +[2024-05-25 11:03:00,494] - INFO: Epoch 7110/9999, Iter 355460: Loss = 0.017476674169301987, lr = [2.5e-05] +[2024-05-25 11:03:28,379] - INFO: Epoch 7110/9999, Iter 355480: Loss = 0.0159594789147377, lr = [2.5e-05] +[2024-05-25 11:03:54,281] - INFO: Evaluate at epoch 7110! +[2024-05-25 11:03:58,271] - INFO: Eval PSNR (max): 38.084 (7105) SSIM (max): 0.9611 (5335) +[2024-05-25 11:03:58,272] - INFO: Eval PSNR (current): 38.056 (7110) SSIM (current): 0.9610 (7110) +[2024-05-25 11:03:58,272] - INFO: Evaluation over. +[2024-05-25 11:04:02,711] - INFO: Epoch 7111/9999, Iter 355500: Loss = 0.01274232566356659, lr = [2.5e-05] +[2024-05-25 11:04:31,471] - INFO: Epoch 7111/9999, Iter 355520: Loss = 0.017195865511894226, lr = [2.5e-05] +[2024-05-25 11:04:59,082] - INFO: Epoch 7111/9999, Iter 355540: Loss = 0.009826857596635818, lr = [2.5e-05] +[2024-05-25 11:05:28,319] - INFO: Epoch 7112/9999, Iter 355560: Loss = 0.015941908583045006, lr = [2.5e-05] +[2024-05-25 11:05:55,533] - INFO: Epoch 7112/9999, Iter 355580: Loss = 0.014625794254243374, lr = [2.5e-05] +[2024-05-25 11:06:25,024] - INFO: Epoch 7113/9999, Iter 355600: Loss = 0.009698576293885708, lr = [2.5e-05] +[2024-05-25 11:06:52,575] - INFO: Epoch 7113/9999, Iter 355620: Loss = 0.01063145138323307, lr = [2.5e-05] +[2024-05-25 11:07:19,866] - INFO: Epoch 7113/9999, Iter 355640: Loss = 0.009358834475278854, lr = [2.5e-05] +[2024-05-25 11:07:49,171] - INFO: Epoch 7114/9999, Iter 355660: Loss = 0.01771002635359764, lr = [2.5e-05] +[2024-05-25 11:08:17,536] - INFO: Epoch 7114/9999, Iter 355680: Loss = 0.009327743202447891, lr = [2.5e-05] +[2024-05-25 11:08:45,483] - INFO: Epoch 7115/9999, Iter 355700: Loss = 0.011911706067621708, lr = [2.5e-05] +[2024-05-25 11:09:13,459] - INFO: Epoch 7115/9999, Iter 355720: Loss = 0.012016202323138714, lr = [2.5e-05] +[2024-05-25 11:09:40,932] - INFO: Epoch 7115/9999, Iter 355740: Loss = 0.008094699122011662, lr = [2.5e-05] +[2024-05-25 11:09:53,072] - INFO: Evaluate at epoch 7115! +[2024-05-25 11:09:57,062] - INFO: Eval PSNR (max): 38.084 (7105) SSIM (max): 0.9611 (5335) +[2024-05-25 11:09:57,063] - INFO: Eval PSNR (current): 38.053 (7115) SSIM (current): 0.9610 (7115) +[2024-05-25 11:09:57,063] - INFO: Evaluation over. +[2024-05-25 11:10:16,331] - INFO: Epoch 7116/9999, Iter 355760: Loss = 0.009853214956820011, lr = [2.5e-05] +[2024-05-25 11:10:44,455] - INFO: Epoch 7116/9999, Iter 355780: Loss = 0.015856221318244934, lr = [2.5e-05] +[2024-05-25 11:11:12,896] - INFO: Epoch 7117/9999, Iter 355800: Loss = 0.01027491595596075, lr = [2.5e-05] +[2024-05-25 11:11:39,957] - INFO: Epoch 7117/9999, Iter 355820: Loss = 0.011876444332301617, lr = [2.5e-05] +[2024-05-25 11:12:08,266] - INFO: Epoch 7117/9999, Iter 355840: Loss = 0.00880581047385931, lr = [2.5e-05] +[2024-05-25 11:12:37,305] - INFO: Epoch 7118/9999, Iter 355860: Loss = 0.017048431560397148, lr = [2.5e-05] +[2024-05-25 11:13:05,845] - INFO: Epoch 7118/9999, Iter 355880: Loss = 0.014603698626160622, lr = [2.5e-05] +[2024-05-25 11:13:34,435] - INFO: Epoch 7119/9999, Iter 355900: Loss = 0.014920098707079887, lr = [2.5e-05] +[2024-05-25 11:14:01,857] - INFO: Epoch 7119/9999, Iter 355920: Loss = 0.015317285433411598, lr = [2.5e-05] +[2024-05-25 11:14:29,523] - INFO: Epoch 7119/9999, Iter 355940: Loss = 0.010376475751399994, lr = [2.5e-05] +[2024-05-25 11:14:57,395] - INFO: Epoch 7120/9999, Iter 355960: Loss = 0.01562543772161007, lr = [2.5e-05] +[2024-05-25 11:15:25,190] - INFO: Epoch 7120/9999, Iter 355980: Loss = 0.009032512083649635, lr = [2.5e-05] +[2024-05-25 11:15:52,177] - INFO: Evaluate at epoch 7120! +[2024-05-25 11:15:57,692] - INFO: Eval PSNR (max): 38.084 (7105) SSIM (max): 0.9611 (7120) +[2024-05-25 11:15:57,692] - INFO: Eval PSNR (current): 38.079 (7120) SSIM (current): 0.9611 (7120) +[2024-05-25 11:15:57,693] - INFO: Evaluation over. +[2024-05-25 11:16:02,487] - INFO: Epoch 7121/9999, Iter 356000: Loss = 0.0192994587123394, lr = [2.5e-05] +[2024-05-25 11:16:30,906] - INFO: Epoch 7121/9999, Iter 356020: Loss = 0.015580780804157257, lr = [2.5e-05] +[2024-05-25 11:16:58,340] - INFO: Epoch 7121/9999, Iter 356040: Loss = 0.01171780563890934, lr = [2.5e-05] +[2024-05-25 11:17:27,947] - INFO: Epoch 7122/9999, Iter 356060: Loss = 0.008940000087022781, lr = [2.5e-05] +[2024-05-25 11:17:55,978] - INFO: Epoch 7122/9999, Iter 356080: Loss = 0.009951120242476463, lr = [2.5e-05] +[2024-05-25 11:18:25,389] - INFO: Epoch 7123/9999, Iter 356100: Loss = 0.010001875460147858, lr = [2.5e-05] +[2024-05-25 11:18:53,201] - INFO: Epoch 7123/9999, Iter 356120: Loss = 0.013268412090837955, lr = [2.5e-05] +[2024-05-25 11:19:20,418] - INFO: Epoch 7123/9999, Iter 356140: Loss = 0.011798040010035038, lr = [2.5e-05] +[2024-05-25 11:19:49,048] - INFO: Epoch 7124/9999, Iter 356160: Loss = 0.01326295081526041, lr = [2.5e-05] +[2024-05-25 11:20:16,939] - INFO: Epoch 7124/9999, Iter 356180: Loss = 0.01170400995761156, lr = [2.5e-05] +[2024-05-25 11:20:45,283] - INFO: Epoch 7125/9999, Iter 356200: Loss = 0.0114018889144063, lr = [2.5e-05] +[2024-05-25 11:21:14,201] - INFO: Epoch 7125/9999, Iter 356220: Loss = 0.01223739143460989, lr = [2.5e-05] +[2024-05-25 11:21:41,710] - INFO: Epoch 7125/9999, Iter 356240: Loss = 0.011127200908958912, lr = [2.5e-05] +[2024-05-25 11:21:53,592] - INFO: Evaluate at epoch 7125! +[2024-05-25 11:21:57,697] - INFO: Eval PSNR (max): 38.084 (7105) SSIM (max): 0.9611 (7120) +[2024-05-25 11:21:57,698] - INFO: Eval PSNR (current): 38.067 (7125) SSIM (current): 0.9611 (7125) +[2024-05-25 11:21:57,698] - INFO: Evaluation over. +[2024-05-25 11:22:16,559] - INFO: Epoch 7126/9999, Iter 356260: Loss = 0.015137547627091408, lr = [2.5e-05] +[2024-05-25 11:22:44,931] - INFO: Epoch 7126/9999, Iter 356280: Loss = 0.015056437812745571, lr = [2.5e-05] +[2024-05-25 11:23:13,411] - INFO: Epoch 7127/9999, Iter 356300: Loss = 0.012509076856076717, lr = [2.5e-05] +[2024-05-25 11:23:41,862] - INFO: Epoch 7127/9999, Iter 356320: Loss = 0.00986430048942566, lr = [2.5e-05] +[2024-05-25 11:24:09,347] - INFO: Epoch 7127/9999, Iter 356340: Loss = 0.012768288142979145, lr = [2.5e-05] +[2024-05-25 11:24:38,048] - INFO: Epoch 7128/9999, Iter 356360: Loss = 0.010046612471342087, lr = [2.5e-05] +[2024-05-25 11:25:05,397] - INFO: Epoch 7128/9999, Iter 356380: Loss = 0.007857490330934525, lr = [2.5e-05] +[2024-05-25 11:25:33,984] - INFO: Epoch 7129/9999, Iter 356400: Loss = 0.012951409444212914, lr = [2.5e-05] +[2024-05-25 11:26:00,752] - INFO: Epoch 7129/9999, Iter 356420: Loss = 0.010549628175795078, lr = [2.5e-05] +[2024-05-25 11:26:29,115] - INFO: Epoch 7129/9999, Iter 356440: Loss = 0.01192820630967617, lr = [2.5e-05] +[2024-05-25 11:26:58,855] - INFO: Epoch 7130/9999, Iter 356460: Loss = 0.01072159968316555, lr = [2.5e-05] +[2024-05-25 11:27:26,214] - INFO: Epoch 7130/9999, Iter 356480: Loss = 0.021365100517868996, lr = [2.5e-05] +[2024-05-25 11:27:52,267] - INFO: Evaluate at epoch 7130! +[2024-05-25 11:27:56,251] - INFO: Eval PSNR (max): 38.084 (7105) SSIM (max): 0.9611 (7120) +[2024-05-25 11:27:56,251] - INFO: Eval PSNR (current): 38.057 (7130) SSIM (current): 0.9611 (7130) +[2024-05-25 11:27:56,251] - INFO: Evaluation over. +[2024-05-25 11:28:01,095] - INFO: Epoch 7131/9999, Iter 356500: Loss = 0.010387247428297997, lr = [2.5e-05] +[2024-05-25 11:28:29,471] - INFO: Epoch 7131/9999, Iter 356520: Loss = 0.014518757350742817, lr = [2.5e-05] +[2024-05-25 11:28:56,996] - INFO: Epoch 7131/9999, Iter 356540: Loss = 0.008668706752359867, lr = [2.5e-05] +[2024-05-25 11:29:25,804] - INFO: Epoch 7132/9999, Iter 356560: Loss = 0.011772572062909603, lr = [2.5e-05] +[2024-05-25 11:29:53,384] - INFO: Epoch 7132/9999, Iter 356580: Loss = 0.012207187712192535, lr = [2.5e-05] +[2024-05-25 11:30:22,555] - INFO: Epoch 7133/9999, Iter 356600: Loss = 0.012326166033744812, lr = [2.5e-05] +[2024-05-25 11:30:50,259] - INFO: Epoch 7133/9999, Iter 356620: Loss = 0.009494803845882416, lr = [2.5e-05] +[2024-05-25 11:31:18,007] - INFO: Epoch 7133/9999, Iter 356640: Loss = 0.011026905849575996, lr = [2.5e-05] +[2024-05-25 11:31:46,778] - INFO: Epoch 7134/9999, Iter 356660: Loss = 0.011868882924318314, lr = [2.5e-05] +[2024-05-25 11:32:14,395] - INFO: Epoch 7134/9999, Iter 356680: Loss = 0.011470604687929153, lr = [2.5e-05] +[2024-05-25 11:32:43,555] - INFO: Epoch 7135/9999, Iter 356700: Loss = 0.011951140128076077, lr = [2.5e-05] +[2024-05-25 11:33:10,895] - INFO: Epoch 7135/9999, Iter 356720: Loss = 0.009037117473781109, lr = [2.5e-05] +[2024-05-25 11:33:37,987] - INFO: Epoch 7135/9999, Iter 356740: Loss = 0.012062213383615017, lr = [2.5e-05] +[2024-05-25 11:33:50,419] - INFO: Evaluate at epoch 7135! +[2024-05-25 11:33:56,281] - INFO: Eval PSNR (max): 38.084 (7105) SSIM (max): 0.9611 (7135) +[2024-05-25 11:33:56,281] - INFO: Eval PSNR (current): 38.066 (7135) SSIM (current): 0.9611 (7135) +[2024-05-25 11:33:56,281] - INFO: Evaluation over. +[2024-05-25 11:34:14,699] - INFO: Epoch 7136/9999, Iter 356760: Loss = 0.016428185626864433, lr = [2.5e-05] +[2024-05-25 11:34:42,642] - INFO: Epoch 7136/9999, Iter 356780: Loss = 0.012984979897737503, lr = [2.5e-05] +[2024-05-25 11:35:11,744] - INFO: Epoch 7137/9999, Iter 356800: Loss = 0.012667788192629814, lr = [2.5e-05] +[2024-05-25 11:35:39,875] - INFO: Epoch 7137/9999, Iter 356820: Loss = 0.011953150853514671, lr = [2.5e-05] +[2024-05-25 11:36:08,026] - INFO: Epoch 7137/9999, Iter 356840: Loss = 0.020371973514556885, lr = [2.5e-05] +[2024-05-25 11:36:36,589] - INFO: Epoch 7138/9999, Iter 356860: Loss = 0.013513411395251751, lr = [2.5e-05] +[2024-05-25 11:37:04,436] - INFO: Epoch 7138/9999, Iter 356880: Loss = 0.012046288698911667, lr = [2.5e-05] +[2024-05-25 11:37:33,011] - INFO: Epoch 7139/9999, Iter 356900: Loss = 0.009427872486412525, lr = [2.5e-05] +[2024-05-25 11:38:00,355] - INFO: Epoch 7139/9999, Iter 356920: Loss = 0.01268803607672453, lr = [2.5e-05] +[2024-05-25 11:38:27,362] - INFO: Epoch 7139/9999, Iter 356940: Loss = 0.013734819367527962, lr = [2.5e-05] +[2024-05-25 11:38:56,891] - INFO: Epoch 7140/9999, Iter 356960: Loss = 0.01667541265487671, lr = [2.5e-05] +[2024-05-25 11:39:24,847] - INFO: Epoch 7140/9999, Iter 356980: Loss = 0.014314739033579826, lr = [2.5e-05] +[2024-05-25 11:39:50,442] - INFO: Evaluate at epoch 7140! +[2024-05-25 11:39:54,553] - INFO: Eval PSNR (max): 38.084 (7105) SSIM (max): 0.9611 (7135) +[2024-05-25 11:39:54,553] - INFO: Eval PSNR (current): 38.061 (7140) SSIM (current): 0.9610 (7140) +[2024-05-25 11:39:54,553] - INFO: Evaluation over. +[2024-05-25 11:39:58,931] - INFO: Epoch 7141/9999, Iter 357000: Loss = 0.009738695807754993, lr = [2.5e-05] +[2024-05-25 11:40:25,700] - INFO: Epoch 7141/9999, Iter 357020: Loss = 0.011343441903591156, lr = [2.5e-05] +[2024-05-25 11:40:52,771] - INFO: Epoch 7141/9999, Iter 357040: Loss = 0.012042868882417679, lr = [2.5e-05] +[2024-05-25 11:41:22,258] - INFO: Epoch 7142/9999, Iter 357060: Loss = 0.017411766573786736, lr = [2.5e-05] +[2024-05-25 11:41:49,603] - INFO: Epoch 7142/9999, Iter 357080: Loss = 0.013914583250880241, lr = [2.5e-05] +[2024-05-25 11:42:18,420] - INFO: Epoch 7143/9999, Iter 357100: Loss = 0.017196938395500183, lr = [2.5e-05] +[2024-05-25 11:42:46,391] - INFO: Epoch 7143/9999, Iter 357120: Loss = 0.011067413724958897, lr = [2.5e-05] +[2024-05-25 11:43:15,067] - INFO: Epoch 7143/9999, Iter 357140: Loss = 0.011111120693385601, lr = [2.5e-05] +[2024-05-25 11:43:43,148] - INFO: Epoch 7144/9999, Iter 357160: Loss = 0.015588727779686451, lr = [2.5e-05] +[2024-05-25 11:44:11,474] - INFO: Epoch 7144/9999, Iter 357180: Loss = 0.012175650335848331, lr = [2.5e-05] +[2024-05-25 11:44:40,834] - INFO: Epoch 7145/9999, Iter 357200: Loss = 0.010138286277651787, lr = [2.5e-05] +[2024-05-25 11:45:06,979] - INFO: Epoch 7145/9999, Iter 357220: Loss = 0.015133874490857124, lr = [2.5e-05] +[2024-05-25 11:45:34,823] - INFO: Epoch 7145/9999, Iter 357240: Loss = 0.00989603716880083, lr = [2.5e-05] +[2024-05-25 11:45:47,075] - INFO: Evaluate at epoch 7145! +[2024-05-25 11:45:53,242] - INFO: Eval PSNR (max): 38.089 (7145) SSIM (max): 0.9611 (7135) +[2024-05-25 11:45:53,243] - INFO: Eval PSNR (current): 38.089 (7145) SSIM (current): 0.9611 (7145) +[2024-05-25 11:45:53,243] - INFO: Evaluation over. +[2024-05-25 11:46:10,907] - INFO: Epoch 7146/9999, Iter 357260: Loss = 0.01057038176804781, lr = [2.5e-05] +[2024-05-25 11:46:37,951] - INFO: Epoch 7146/9999, Iter 357280: Loss = 0.017153067514300346, lr = [2.5e-05] +[2024-05-25 11:47:07,371] - INFO: Epoch 7147/9999, Iter 357300: Loss = 0.008002836257219315, lr = [2.5e-05] +[2024-05-25 11:47:33,971] - INFO: Epoch 7147/9999, Iter 357320: Loss = 0.023889658972620964, lr = [2.5e-05] +[2024-05-25 11:48:02,116] - INFO: Epoch 7147/9999, Iter 357340: Loss = 0.016631757840514183, lr = [2.5e-05] +[2024-05-25 11:48:31,823] - INFO: Epoch 7148/9999, Iter 357360: Loss = 0.015107677318155766, lr = [2.5e-05] +[2024-05-25 11:49:00,023] - INFO: Epoch 7148/9999, Iter 357380: Loss = 0.01413780264556408, lr = [2.5e-05] +[2024-05-25 11:49:28,503] - INFO: Epoch 7149/9999, Iter 357400: Loss = 0.01308718416839838, lr = [2.5e-05] +[2024-05-25 11:49:56,651] - INFO: Epoch 7149/9999, Iter 357420: Loss = 0.014062467962503433, lr = [2.5e-05] +[2024-05-25 11:50:23,571] - INFO: Epoch 7149/9999, Iter 357440: Loss = 0.014524263329803944, lr = [2.5e-05] +[2024-05-25 11:50:52,669] - INFO: Epoch 7150/9999, Iter 357460: Loss = 0.013911284506320953, lr = [2.5e-05] +[2024-05-25 11:51:20,850] - INFO: Epoch 7150/9999, Iter 357480: Loss = 0.013668853789567947, lr = [2.5e-05] +[2024-05-25 11:51:46,875] - INFO: Evaluate at epoch 7150! +[2024-05-25 11:51:50,982] - INFO: Eval PSNR (max): 38.089 (7145) SSIM (max): 0.9611 (7135) +[2024-05-25 11:51:50,983] - INFO: Eval PSNR (current): 38.063 (7150) SSIM (current): 0.9611 (7150) +[2024-05-25 11:51:50,983] - INFO: Evaluation over. +[2024-05-25 11:51:55,908] - INFO: Epoch 7151/9999, Iter 357500: Loss = 0.011823181994259357, lr = [2.5e-05] +[2024-05-25 11:52:22,987] - INFO: Epoch 7151/9999, Iter 357520: Loss = 0.010975777171552181, lr = [2.5e-05] +[2024-05-25 11:52:50,939] - INFO: Epoch 7151/9999, Iter 357540: Loss = 0.01442272774875164, lr = [2.5e-05] +[2024-05-25 11:53:19,538] - INFO: Epoch 7152/9999, Iter 357560: Loss = 0.009207816794514656, lr = [2.5e-05] +[2024-05-25 11:53:46,655] - INFO: Epoch 7152/9999, Iter 357580: Loss = 0.013911801390349865, lr = [2.5e-05] +[2024-05-25 11:54:16,447] - INFO: Epoch 7153/9999, Iter 357600: Loss = 0.013866517692804337, lr = [2.5e-05] +[2024-05-25 11:54:43,955] - INFO: Epoch 7153/9999, Iter 357620: Loss = 0.015980441123247147, lr = [2.5e-05] +[2024-05-25 11:55:10,977] - INFO: Epoch 7153/9999, Iter 357640: Loss = 0.010208822786808014, lr = [2.5e-05] +[2024-05-25 11:55:39,066] - INFO: Epoch 7154/9999, Iter 357660: Loss = 0.01633317954838276, lr = [2.5e-05] +[2024-05-25 11:56:06,875] - INFO: Epoch 7154/9999, Iter 357680: Loss = 0.005413183476775885, lr = [2.5e-05] +[2024-05-25 11:56:35,115] - INFO: Epoch 7155/9999, Iter 357700: Loss = 0.014842942357063293, lr = [2.5e-05] +[2024-05-25 11:57:02,691] - INFO: Epoch 7155/9999, Iter 357720: Loss = 0.010864757001399994, lr = [2.5e-05] +[2024-05-25 11:57:29,754] - INFO: Epoch 7155/9999, Iter 357740: Loss = 0.017343470826745033, lr = [2.5e-05] +[2024-05-25 11:57:42,129] - INFO: Evaluate at epoch 7155! +[2024-05-25 11:57:46,229] - INFO: Eval PSNR (max): 38.089 (7145) SSIM (max): 0.9611 (7135) +[2024-05-25 11:57:46,229] - INFO: Eval PSNR (current): 38.072 (7155) SSIM (current): 0.9611 (7155) +[2024-05-25 11:57:46,229] - INFO: Evaluation over. +[2024-05-25 11:58:05,144] - INFO: Epoch 7156/9999, Iter 357760: Loss = 0.007821112871170044, lr = [2.5e-05] +[2024-05-25 11:58:32,412] - INFO: Epoch 7156/9999, Iter 357780: Loss = 0.007799256592988968, lr = [2.5e-05] +[2024-05-25 11:59:00,675] - INFO: Epoch 7157/9999, Iter 357800: Loss = 0.016659969463944435, lr = [2.5e-05] +[2024-05-25 11:59:28,183] - INFO: Epoch 7157/9999, Iter 357820: Loss = 0.010183681733906269, lr = [2.5e-05] +[2024-05-25 11:59:55,271] - INFO: Epoch 7157/9999, Iter 357840: Loss = 0.009614920243620872, lr = [2.5e-05] +[2024-05-25 12:00:24,024] - INFO: Epoch 7158/9999, Iter 357860: Loss = 0.010060014203190804, lr = [2.5e-05] +[2024-05-25 12:00:51,160] - INFO: Epoch 7158/9999, Iter 357880: Loss = 0.011197425425052643, lr = [2.5e-05] +[2024-05-25 12:01:19,854] - INFO: Epoch 7159/9999, Iter 357900: Loss = 0.01509352121502161, lr = [2.5e-05] +[2024-05-25 12:01:47,589] - INFO: Epoch 7159/9999, Iter 357920: Loss = 0.017571892589330673, lr = [2.5e-05] +[2024-05-25 12:02:15,963] - INFO: Epoch 7159/9999, Iter 357940: Loss = 0.015140349045395851, lr = [2.5e-05] +[2024-05-25 12:02:44,486] - INFO: Epoch 7160/9999, Iter 357960: Loss = 0.012892560102045536, lr = [2.5e-05] +[2024-05-25 12:03:12,762] - INFO: Epoch 7160/9999, Iter 357980: Loss = 0.01441084872931242, lr = [2.5e-05] +[2024-05-25 12:03:38,356] - INFO: Evaluate at epoch 7160! +[2024-05-25 12:03:42,465] - INFO: Eval PSNR (max): 38.089 (7145) SSIM (max): 0.9611 (7135) +[2024-05-25 12:03:42,465] - INFO: Eval PSNR (current): 38.081 (7160) SSIM (current): 0.9610 (7160) +[2024-05-25 12:03:42,465] - INFO: Evaluation over. +[2024-05-25 12:03:47,540] - INFO: Epoch 7161/9999, Iter 358000: Loss = 0.008508415892720222, lr = [2.5e-05] +[2024-05-25 12:04:15,123] - INFO: Epoch 7161/9999, Iter 358020: Loss = 0.011719703674316406, lr = [2.5e-05] +[2024-05-25 12:04:41,995] - INFO: Epoch 7161/9999, Iter 358040: Loss = 0.008615683764219284, lr = [2.5e-05] +[2024-05-25 12:05:10,933] - INFO: Epoch 7162/9999, Iter 358060: Loss = 0.011577260680496693, lr = [2.5e-05] +[2024-05-25 12:05:39,079] - INFO: Epoch 7162/9999, Iter 358080: Loss = 0.010160116478800774, lr = [2.5e-05] +[2024-05-25 12:06:07,499] - INFO: Epoch 7163/9999, Iter 358100: Loss = 0.012531631626188755, lr = [2.5e-05] +[2024-05-25 12:06:34,934] - INFO: Epoch 7163/9999, Iter 358120: Loss = 0.019294722005724907, lr = [2.5e-05] +[2024-05-25 12:07:02,146] - INFO: Epoch 7163/9999, Iter 358140: Loss = 0.007126709446310997, lr = [2.5e-05] +[2024-05-25 12:07:30,882] - INFO: Epoch 7164/9999, Iter 358160: Loss = 0.012912063859403133, lr = [2.5e-05] +[2024-05-25 12:07:58,595] - INFO: Epoch 7164/9999, Iter 358180: Loss = 0.009062635712325573, lr = [2.5e-05] +[2024-05-25 12:08:27,303] - INFO: Epoch 7165/9999, Iter 358200: Loss = 0.013493100181221962, lr = [2.5e-05] +[2024-05-25 12:08:54,153] - INFO: Epoch 7165/9999, Iter 358220: Loss = 0.017152059823274612, lr = [2.5e-05] +[2024-05-25 12:09:21,044] - INFO: Epoch 7165/9999, Iter 358240: Loss = 0.013530358672142029, lr = [2.5e-05] +[2024-05-25 12:09:33,675] - INFO: Evaluate at epoch 7165! +[2024-05-25 12:09:37,779] - INFO: Eval PSNR (max): 38.089 (7145) SSIM (max): 0.9611 (7135) +[2024-05-25 12:09:37,779] - INFO: Eval PSNR (current): 38.060 (7165) SSIM (current): 0.9611 (7165) +[2024-05-25 12:09:37,779] - INFO: Evaluation over. +[2024-05-25 12:09:56,009] - INFO: Epoch 7166/9999, Iter 358260: Loss = 0.006480574607849121, lr = [2.5e-05] +[2024-05-25 12:10:24,229] - INFO: Epoch 7166/9999, Iter 358280: Loss = 0.011274993419647217, lr = [2.5e-05] +[2024-05-25 12:10:52,977] - INFO: Epoch 7167/9999, Iter 358300: Loss = 0.010534330271184444, lr = [2.5e-05] +[2024-05-25 12:11:21,103] - INFO: Epoch 7167/9999, Iter 358320: Loss = 0.013439183123409748, lr = [2.5e-05] +[2024-05-25 12:11:49,302] - INFO: Epoch 7167/9999, Iter 358340: Loss = 0.012781107798218727, lr = [2.5e-05] +[2024-05-25 12:12:18,365] - INFO: Epoch 7168/9999, Iter 358360: Loss = 0.015565464273095131, lr = [2.5e-05] +[2024-05-25 12:12:46,083] - INFO: Epoch 7168/9999, Iter 358380: Loss = 0.014578676782548428, lr = [2.5e-05] +[2024-05-25 12:13:14,950] - INFO: Epoch 7169/9999, Iter 358400: Loss = 0.01226452924311161, lr = [2.5e-05] +[2024-05-25 12:13:42,879] - INFO: Epoch 7169/9999, Iter 358420: Loss = 0.010994953103363514, lr = [2.5e-05] +[2024-05-25 12:14:10,957] - INFO: Epoch 7169/9999, Iter 358440: Loss = 0.01247235108166933, lr = [2.5e-05] +[2024-05-25 12:14:39,755] - INFO: Epoch 7170/9999, Iter 358460: Loss = 0.012566210702061653, lr = [2.5e-05] +[2024-05-25 12:15:08,271] - INFO: Epoch 7170/9999, Iter 358480: Loss = 0.01598183810710907, lr = [2.5e-05] +[2024-05-25 12:15:33,498] - INFO: Evaluate at epoch 7170! +[2024-05-25 12:15:37,614] - INFO: Eval PSNR (max): 38.089 (7145) SSIM (max): 0.9611 (7135) +[2024-05-25 12:15:37,615] - INFO: Eval PSNR (current): 38.080 (7170) SSIM (current): 0.9611 (7170) +[2024-05-25 12:15:37,615] - INFO: Evaluation over. +[2024-05-25 12:15:42,157] - INFO: Epoch 7171/9999, Iter 358500: Loss = 0.015515322797000408, lr = [2.5e-05] +[2024-05-25 12:16:10,401] - INFO: Epoch 7171/9999, Iter 358520: Loss = 0.011552184820175171, lr = [2.5e-05] +[2024-05-25 12:16:37,779] - INFO: Epoch 7171/9999, Iter 358540: Loss = 0.01318800263106823, lr = [2.5e-05] +[2024-05-25 12:17:06,256] - INFO: Epoch 7172/9999, Iter 358560: Loss = 0.00894398894160986, lr = [2.5e-05] +[2024-05-25 12:17:33,363] - INFO: Epoch 7172/9999, Iter 358580: Loss = 0.01069207675755024, lr = [2.5e-05] +[2024-05-25 12:18:02,284] - INFO: Epoch 7173/9999, Iter 358600: Loss = 0.013745426200330257, lr = [2.5e-05] +[2024-05-25 12:18:29,355] - INFO: Epoch 7173/9999, Iter 358620: Loss = 0.011233667843043804, lr = [2.5e-05] +[2024-05-25 12:18:56,917] - INFO: Epoch 7173/9999, Iter 358640: Loss = 0.009730491787195206, lr = [2.5e-05] +[2024-05-25 12:19:26,584] - INFO: Epoch 7174/9999, Iter 358660: Loss = 0.012442115694284439, lr = [2.5e-05] +[2024-05-25 12:19:54,739] - INFO: Epoch 7174/9999, Iter 358680: Loss = 0.017289867624640465, lr = [2.5e-05] +[2024-05-25 12:20:23,605] - INFO: Epoch 7175/9999, Iter 358700: Loss = 0.017018217593431473, lr = [2.5e-05] +[2024-05-25 12:20:50,450] - INFO: Epoch 7175/9999, Iter 358720: Loss = 0.015910405665636063, lr = [2.5e-05] +[2024-05-25 12:21:18,916] - INFO: Epoch 7175/9999, Iter 358740: Loss = 0.009121669456362724, lr = [2.5e-05] +[2024-05-25 12:21:30,950] - INFO: Evaluate at epoch 7175! +[2024-05-25 12:21:34,947] - INFO: Eval PSNR (max): 38.089 (7145) SSIM (max): 0.9611 (7135) +[2024-05-25 12:21:34,947] - INFO: Eval PSNR (current): 38.072 (7175) SSIM (current): 0.9611 (7175) +[2024-05-25 12:21:34,947] - INFO: Evaluation over. +[2024-05-25 12:21:54,079] - INFO: Epoch 7176/9999, Iter 358760: Loss = 0.012872615829110146, lr = [2.5e-05] +[2024-05-25 12:22:21,469] - INFO: Epoch 7176/9999, Iter 358780: Loss = 0.011311531998217106, lr = [2.5e-05] +[2024-05-25 12:22:49,315] - INFO: Epoch 7177/9999, Iter 358800: Loss = 0.011119522154331207, lr = [2.5e-05] +[2024-05-25 12:23:17,263] - INFO: Epoch 7177/9999, Iter 358820: Loss = 0.010977202095091343, lr = [2.5e-05] +[2024-05-25 12:23:45,279] - INFO: Epoch 7177/9999, Iter 358840: Loss = 0.014664716087281704, lr = [2.5e-05] +[2024-05-25 12:24:14,307] - INFO: Epoch 7178/9999, Iter 358860: Loss = 0.011371271684765816, lr = [2.5e-05] +[2024-05-25 12:24:41,779] - INFO: Epoch 7178/9999, Iter 358880: Loss = 0.014100355096161366, lr = [2.5e-05] +[2024-05-25 12:25:11,375] - INFO: Epoch 7179/9999, Iter 358900: Loss = 0.014492113143205643, lr = [2.5e-05] +[2024-05-25 12:25:39,869] - INFO: Epoch 7179/9999, Iter 358920: Loss = 0.007137789856642485, lr = [2.5e-05] +[2024-05-25 12:26:07,655] - INFO: Epoch 7179/9999, Iter 358940: Loss = 0.017986807972192764, lr = [2.5e-05] +[2024-05-25 12:26:36,234] - INFO: Epoch 7180/9999, Iter 358960: Loss = 0.010717688128352165, lr = [2.5e-05] +[2024-05-25 12:27:03,484] - INFO: Epoch 7180/9999, Iter 358980: Loss = 0.01374368742108345, lr = [2.5e-05] +[2024-05-25 12:27:28,954] - INFO: Evaluate at epoch 7180! +[2024-05-25 12:27:32,960] - INFO: Eval PSNR (max): 38.089 (7145) SSIM (max): 0.9611 (7135) +[2024-05-25 12:27:32,960] - INFO: Eval PSNR (current): 38.083 (7180) SSIM (current): 0.9610 (7180) +[2024-05-25 12:27:32,960] - INFO: Evaluation over. +[2024-05-25 12:27:37,302] - INFO: Epoch 7181/9999, Iter 359000: Loss = 0.013966322876513004, lr = [2.5e-05] +[2024-05-25 12:28:05,457] - INFO: Epoch 7181/9999, Iter 359020: Loss = 0.018233992159366608, lr = [2.5e-05] +[2024-05-25 12:28:32,627] - INFO: Epoch 7181/9999, Iter 359040: Loss = 0.011389721184968948, lr = [2.5e-05] +[2024-05-25 12:29:01,531] - INFO: Epoch 7182/9999, Iter 359060: Loss = 0.007041214965283871, lr = [2.5e-05] +[2024-05-25 12:29:29,103] - INFO: Epoch 7182/9999, Iter 359080: Loss = 0.009777186438441277, lr = [2.5e-05] +[2024-05-25 12:29:58,842] - INFO: Epoch 7183/9999, Iter 359100: Loss = 0.012498507276177406, lr = [2.5e-05] +[2024-05-25 12:30:25,957] - INFO: Epoch 7183/9999, Iter 359120: Loss = 0.007633930537849665, lr = [2.5e-05] +[2024-05-25 12:30:53,724] - INFO: Epoch 7183/9999, Iter 359140: Loss = 0.011529085226356983, lr = [2.5e-05] +[2024-05-25 12:31:22,799] - INFO: Epoch 7184/9999, Iter 359160: Loss = 0.012295394204556942, lr = [2.5e-05] +[2024-05-25 12:31:51,586] - INFO: Epoch 7184/9999, Iter 359180: Loss = 0.012125197798013687, lr = [2.5e-05] +[2024-05-25 12:32:20,331] - INFO: Epoch 7185/9999, Iter 359200: Loss = 0.012047725729644299, lr = [2.5e-05] +[2024-05-25 12:32:47,949] - INFO: Epoch 7185/9999, Iter 359220: Loss = 0.01186774205416441, lr = [2.5e-05] +[2024-05-25 12:33:14,887] - INFO: Epoch 7185/9999, Iter 359240: Loss = 0.01611023209989071, lr = [2.5e-05] +[2024-05-25 12:33:27,991] - INFO: Evaluate at epoch 7185! +[2024-05-25 12:33:33,687] - INFO: Eval PSNR (max): 38.089 (7145) SSIM (max): 0.9611 (7185) +[2024-05-25 12:33:33,687] - INFO: Eval PSNR (current): 38.084 (7185) SSIM (current): 0.9611 (7185) +[2024-05-25 12:33:33,687] - INFO: Evaluation over. +[2024-05-25 12:33:52,403] - INFO: Epoch 7186/9999, Iter 359260: Loss = 0.011498152278363705, lr = [2.5e-05] +[2024-05-25 12:34:20,647] - INFO: Epoch 7186/9999, Iter 359280: Loss = 0.009169165976345539, lr = [2.5e-05] +[2024-05-25 12:34:49,083] - INFO: Epoch 7187/9999, Iter 359300: Loss = 0.013053993694484234, lr = [2.5e-05] +[2024-05-25 12:35:17,299] - INFO: Epoch 7187/9999, Iter 359320: Loss = 0.014523056335747242, lr = [2.5e-05] +[2024-05-25 12:35:45,426] - INFO: Epoch 7187/9999, Iter 359340: Loss = 0.012851286679506302, lr = [2.5e-05] +[2024-05-25 12:36:14,119] - INFO: Epoch 7188/9999, Iter 359360: Loss = 0.008455286733806133, lr = [2.5e-05] +[2024-05-25 12:36:41,574] - INFO: Epoch 7188/9999, Iter 359380: Loss = 0.008590755984187126, lr = [2.5e-05] +[2024-05-25 12:37:10,004] - INFO: Epoch 7189/9999, Iter 359400: Loss = 0.0118763642385602, lr = [2.5e-05] +[2024-05-25 12:37:38,435] - INFO: Epoch 7189/9999, Iter 359420: Loss = 0.008779773488640785, lr = [2.5e-05] +[2024-05-25 12:38:04,927] - INFO: Epoch 7189/9999, Iter 359440: Loss = 0.018717629835009575, lr = [2.5e-05] +[2024-05-25 12:38:34,798] - INFO: Epoch 7190/9999, Iter 359460: Loss = 0.01342778280377388, lr = [2.5e-05] +[2024-05-25 12:39:03,019] - INFO: Epoch 7190/9999, Iter 359480: Loss = 0.012073940597474575, lr = [2.5e-05] +[2024-05-25 12:39:28,472] - INFO: Evaluate at epoch 7190! +[2024-05-25 12:39:32,467] - INFO: Eval PSNR (max): 38.089 (7145) SSIM (max): 0.9611 (7185) +[2024-05-25 12:39:32,467] - INFO: Eval PSNR (current): 38.085 (7190) SSIM (current): 0.9611 (7190) +[2024-05-25 12:39:32,467] - INFO: Evaluation over. +[2024-05-25 12:39:36,847] - INFO: Epoch 7191/9999, Iter 359500: Loss = 0.016539910808205605, lr = [2.5e-05] +[2024-05-25 12:40:04,375] - INFO: Epoch 7191/9999, Iter 359520: Loss = 0.0159462820738554, lr = [2.5e-05] +[2024-05-25 12:40:33,033] - INFO: Epoch 7191/9999, Iter 359540: Loss = 0.01370314136147499, lr = [2.5e-05] +[2024-05-25 12:41:02,090] - INFO: Epoch 7192/9999, Iter 359560: Loss = 0.015482385642826557, lr = [2.5e-05] +[2024-05-25 12:41:29,907] - INFO: Epoch 7192/9999, Iter 359580: Loss = 0.0157206691801548, lr = [2.5e-05] +[2024-05-25 12:41:57,992] - INFO: Epoch 7193/9999, Iter 359600: Loss = 0.0157622080296278, lr = [2.5e-05] +[2024-05-25 12:42:24,746] - INFO: Epoch 7193/9999, Iter 359620: Loss = 0.01561205368489027, lr = [2.5e-05] +[2024-05-25 12:42:52,819] - INFO: Epoch 7193/9999, Iter 359640: Loss = 0.013731705024838448, lr = [2.5e-05] +[2024-05-25 12:43:22,618] - INFO: Epoch 7194/9999, Iter 359660: Loss = 0.012870142236351967, lr = [2.5e-05] +[2024-05-25 12:43:50,262] - INFO: Epoch 7194/9999, Iter 359680: Loss = 0.012681515887379646, lr = [2.5e-05] +[2024-05-25 12:44:19,331] - INFO: Epoch 7195/9999, Iter 359700: Loss = 0.013513276353478432, lr = [2.5e-05] +[2024-05-25 12:44:46,315] - INFO: Epoch 7195/9999, Iter 359720: Loss = 0.011382960714399815, lr = [2.5e-05] +[2024-05-25 12:45:13,901] - INFO: Epoch 7195/9999, Iter 359740: Loss = 0.013015864416956902, lr = [2.5e-05] +[2024-05-25 12:45:26,212] - INFO: Evaluate at epoch 7195! +[2024-05-25 12:45:33,735] - INFO: Eval PSNR (max): 38.097 (7195) SSIM (max): 0.9611 (7195) +[2024-05-25 12:45:33,736] - INFO: Eval PSNR (current): 38.097 (7195) SSIM (current): 0.9611 (7195) +[2024-05-25 12:45:33,736] - INFO: Evaluation over. +[2024-05-25 12:45:51,848] - INFO: Epoch 7196/9999, Iter 359760: Loss = 0.010911379009485245, lr = [2.5e-05] +[2024-05-25 12:46:20,285] - INFO: Epoch 7196/9999, Iter 359780: Loss = 0.009002656675875187, lr = [2.5e-05] +[2024-05-25 12:46:48,947] - INFO: Epoch 7197/9999, Iter 359800: Loss = 0.01806129515171051, lr = [2.5e-05] +[2024-05-25 12:47:17,336] - INFO: Epoch 7197/9999, Iter 359820: Loss = 0.01452724076807499, lr = [2.5e-05] +[2024-05-25 12:47:45,707] - INFO: Epoch 7197/9999, Iter 359840: Loss = 0.00963891576975584, lr = [2.5e-05] +[2024-05-25 12:48:14,294] - INFO: Epoch 7198/9999, Iter 359860: Loss = 0.018828565254807472, lr = [2.5e-05] +[2024-05-25 12:48:42,911] - INFO: Epoch 7198/9999, Iter 359880: Loss = 0.01286968495696783, lr = [2.5e-05] +[2024-05-25 12:49:11,785] - INFO: Epoch 7199/9999, Iter 359900: Loss = 0.01240154542028904, lr = [2.5e-05] +[2024-05-25 12:49:40,495] - INFO: Epoch 7199/9999, Iter 359920: Loss = 0.016330799087882042, lr = [2.5e-05] +[2024-05-25 12:50:07,703] - INFO: Epoch 7199/9999, Iter 359940: Loss = 0.014319956302642822, lr = [2.5e-05] +[2024-05-25 12:50:36,085] - INFO: Epoch 7200/9999, Iter 359960: Loss = 0.008725463412702084, lr = [2.5e-05] +[2024-05-25 12:51:04,474] - INFO: Epoch 7200/9999, Iter 359980: Loss = 0.010114125907421112, lr = [2.5e-05] +[2024-05-25 12:51:30,451] - INFO: Evaluate at epoch 7200! +[2024-05-25 12:51:34,446] - INFO: Eval PSNR (max): 38.097 (7195) SSIM (max): 0.9611 (7195) +[2024-05-25 12:51:34,447] - INFO: Eval PSNR (current): 38.064 (7200) SSIM (current): 0.9610 (7200) +[2024-05-25 12:51:34,447] - INFO: Evaluation over. +[2024-05-25 12:51:39,176] - INFO: Epoch 7201/9999, Iter 360000: Loss = 0.010985137894749641, lr = [2.5e-05] +[2024-05-25 12:52:06,359] - INFO: Epoch 7201/9999, Iter 360020: Loss = 0.010719293728470802, lr = [2.5e-05] +[2024-05-25 12:52:34,813] - INFO: Epoch 7201/9999, Iter 360040: Loss = 0.017548907548189163, lr = [2.5e-05] +[2024-05-25 12:53:04,055] - INFO: Epoch 7202/9999, Iter 360060: Loss = 0.01797190122306347, lr = [2.5e-05] +[2024-05-25 12:53:32,339] - INFO: Epoch 7202/9999, Iter 360080: Loss = 0.012660265900194645, lr = [2.5e-05] +[2024-05-25 12:54:00,995] - INFO: Epoch 7203/9999, Iter 360100: Loss = 0.01802108623087406, lr = [2.5e-05] +[2024-05-25 12:54:28,662] - INFO: Epoch 7203/9999, Iter 360120: Loss = 0.015349704772233963, lr = [2.5e-05] +[2024-05-25 12:54:56,403] - INFO: Epoch 7203/9999, Iter 360140: Loss = 0.013278733007609844, lr = [2.5e-05] +[2024-05-25 12:55:25,448] - INFO: Epoch 7204/9999, Iter 360160: Loss = 0.009502054192125797, lr = [2.5e-05] +[2024-05-25 12:55:53,227] - INFO: Epoch 7204/9999, Iter 360180: Loss = 0.01897229626774788, lr = [2.5e-05] +[2024-05-25 12:56:22,350] - INFO: Epoch 7205/9999, Iter 360200: Loss = 0.009300215169787407, lr = [2.5e-05] +[2024-05-25 12:56:50,295] - INFO: Epoch 7205/9999, Iter 360220: Loss = 0.013337329961359501, lr = [2.5e-05] +[2024-05-25 12:57:17,319] - INFO: Epoch 7205/9999, Iter 360240: Loss = 0.016123147681355476, lr = [2.5e-05] +[2024-05-25 12:57:30,043] - INFO: Evaluate at epoch 7205! +[2024-05-25 12:57:34,122] - INFO: Eval PSNR (max): 38.097 (7195) SSIM (max): 0.9611 (7195) +[2024-05-25 12:57:34,122] - INFO: Eval PSNR (current): 38.071 (7205) SSIM (current): 0.9610 (7205) +[2024-05-25 12:57:34,122] - INFO: Evaluation over. +[2024-05-25 12:57:52,957] - INFO: Epoch 7206/9999, Iter 360260: Loss = 0.015516814775764942, lr = [2.5e-05] +[2024-05-25 12:58:21,074] - INFO: Epoch 7206/9999, Iter 360280: Loss = 0.0147157683968544, lr = [2.5e-05] +[2024-05-25 12:58:49,655] - INFO: Epoch 7207/9999, Iter 360300: Loss = 0.012281311675906181, lr = [2.5e-05] +[2024-05-25 12:59:18,260] - INFO: Epoch 7207/9999, Iter 360320: Loss = 0.01747194305062294, lr = [2.5e-05] +[2024-05-25 12:59:45,804] - INFO: Epoch 7207/9999, Iter 360340: Loss = 0.008031624369323254, lr = [2.5e-05] +[2024-05-25 13:00:14,605] - INFO: Epoch 7208/9999, Iter 360360: Loss = 0.01180222351104021, lr = [2.5e-05] +[2024-05-25 13:00:42,894] - INFO: Epoch 7208/9999, Iter 360380: Loss = 0.01475132443010807, lr = [2.5e-05] +[2024-05-25 13:01:12,221] - INFO: Epoch 7209/9999, Iter 360400: Loss = 0.011396483518183231, lr = [2.5e-05] +[2024-05-25 13:01:39,193] - INFO: Epoch 7209/9999, Iter 360420: Loss = 0.00941785890609026, lr = [2.5e-05] +[2024-05-25 13:02:06,807] - INFO: Epoch 7209/9999, Iter 360440: Loss = 0.011857099831104279, lr = [2.5e-05] +[2024-05-25 13:02:35,716] - INFO: Epoch 7210/9999, Iter 360460: Loss = 0.012860482558608055, lr = [2.5e-05] +[2024-05-25 13:03:02,391] - INFO: Epoch 7210/9999, Iter 360480: Loss = 0.01413892861455679, lr = [2.5e-05] +[2024-05-25 13:03:29,492] - INFO: Evaluate at epoch 7210! +[2024-05-25 13:03:33,555] - INFO: Eval PSNR (max): 38.097 (7195) SSIM (max): 0.9611 (7195) +[2024-05-25 13:03:33,555] - INFO: Eval PSNR (current): 38.080 (7210) SSIM (current): 0.9611 (7210) +[2024-05-25 13:03:33,555] - INFO: Evaluation over. +[2024-05-25 13:03:38,399] - INFO: Epoch 7211/9999, Iter 360500: Loss = 0.011323808692395687, lr = [2.5e-05] +[2024-05-25 13:04:06,461] - INFO: Epoch 7211/9999, Iter 360520: Loss = 0.015716997906565666, lr = [2.5e-05] +[2024-05-25 13:04:33,073] - INFO: Epoch 7211/9999, Iter 360540: Loss = 0.011481080204248428, lr = [2.5e-05] +[2024-05-25 13:05:01,343] - INFO: Epoch 7212/9999, Iter 360560: Loss = 0.01613825373351574, lr = [2.5e-05] +[2024-05-25 13:05:29,779] - INFO: Epoch 7212/9999, Iter 360580: Loss = 0.010158004239201546, lr = [2.5e-05] +[2024-05-25 13:05:58,876] - INFO: Epoch 7213/9999, Iter 360600: Loss = 0.013015137985348701, lr = [2.5e-05] +[2024-05-25 13:06:26,092] - INFO: Epoch 7213/9999, Iter 360620: Loss = 0.014532764442265034, lr = [2.5e-05] +[2024-05-25 13:06:52,990] - INFO: Epoch 7213/9999, Iter 360640: Loss = 0.010225166566669941, lr = [2.5e-05] +[2024-05-25 13:07:21,923] - INFO: Epoch 7214/9999, Iter 360660: Loss = 0.014490264467895031, lr = [2.5e-05] +[2024-05-25 13:07:48,806] - INFO: Epoch 7214/9999, Iter 360680: Loss = 0.009473648853600025, lr = [2.5e-05] +[2024-05-25 13:08:17,612] - INFO: Epoch 7215/9999, Iter 360700: Loss = 0.010478676296770573, lr = [2.5e-05] +[2024-05-25 13:08:45,927] - INFO: Epoch 7215/9999, Iter 360720: Loss = 0.01004976686090231, lr = [2.5e-05] +[2024-05-25 13:09:13,492] - INFO: Epoch 7215/9999, Iter 360740: Loss = 0.011352242901921272, lr = [2.5e-05] +[2024-05-25 13:09:25,710] - INFO: Evaluate at epoch 7215! +[2024-05-25 13:09:29,762] - INFO: Eval PSNR (max): 38.097 (7195) SSIM (max): 0.9611 (7195) +[2024-05-25 13:09:29,762] - INFO: Eval PSNR (current): 38.090 (7215) SSIM (current): 0.9611 (7215) +[2024-05-25 13:09:29,762] - INFO: Evaluation over. +[2024-05-25 13:09:48,300] - INFO: Epoch 7216/9999, Iter 360760: Loss = 0.014040166512131691, lr = [2.5e-05] +[2024-05-25 13:10:16,715] - INFO: Epoch 7216/9999, Iter 360780: Loss = 0.014082705602049828, lr = [2.5e-05] +[2024-05-25 13:10:44,933] - INFO: Epoch 7217/9999, Iter 360800: Loss = 0.014196228235960007, lr = [2.5e-05] +[2024-05-25 13:11:12,659] - INFO: Epoch 7217/9999, Iter 360820: Loss = 0.008825470693409443, lr = [2.5e-05] +[2024-05-25 13:11:39,686] - INFO: Epoch 7217/9999, Iter 360840: Loss = 0.01712576113641262, lr = [2.5e-05] +[2024-05-25 13:12:08,883] - INFO: Epoch 7218/9999, Iter 360860: Loss = 0.012559296563267708, lr = [2.5e-05] +[2024-05-25 13:12:36,988] - INFO: Epoch 7218/9999, Iter 360880: Loss = 0.016598807647824287, lr = [2.5e-05] +[2024-05-25 13:13:06,423] - INFO: Epoch 7219/9999, Iter 360900: Loss = 0.014896792359650135, lr = [2.5e-05] +[2024-05-25 13:13:33,799] - INFO: Epoch 7219/9999, Iter 360920: Loss = 0.014999093487858772, lr = [2.5e-05] +[2024-05-25 13:14:01,143] - INFO: Epoch 7219/9999, Iter 360940: Loss = 0.011692117899656296, lr = [2.5e-05] +[2024-05-25 13:14:30,617] - INFO: Epoch 7220/9999, Iter 360960: Loss = 0.007311505265533924, lr = [2.5e-05] +[2024-05-25 13:14:58,840] - INFO: Epoch 7220/9999, Iter 360980: Loss = 0.014142513275146484, lr = [2.5e-05] +[2024-05-25 13:15:24,719] - INFO: Evaluate at epoch 7220! +[2024-05-25 13:15:28,772] - INFO: Eval PSNR (max): 38.097 (7195) SSIM (max): 0.9611 (7195) +[2024-05-25 13:15:28,773] - INFO: Eval PSNR (current): 38.048 (7220) SSIM (current): 0.9610 (7220) +[2024-05-25 13:15:28,773] - INFO: Evaluation over. +[2024-05-25 13:15:33,350] - INFO: Epoch 7221/9999, Iter 361000: Loss = 0.011088783852756023, lr = [2.5e-05] +[2024-05-25 13:16:01,255] - INFO: Epoch 7221/9999, Iter 361020: Loss = 0.01128369104117155, lr = [2.5e-05] +[2024-05-25 13:16:28,931] - INFO: Epoch 7221/9999, Iter 361040: Loss = 0.01362849771976471, lr = [2.5e-05] +[2024-05-25 13:16:58,021] - INFO: Epoch 7222/9999, Iter 361060: Loss = 0.016789723187685013, lr = [2.5e-05] +[2024-05-25 13:17:24,918] - INFO: Epoch 7222/9999, Iter 361080: Loss = 0.014010992832481861, lr = [2.5e-05] +[2024-05-25 13:17:54,341] - INFO: Epoch 7223/9999, Iter 361100: Loss = 0.011873209848999977, lr = [2.5e-05] +[2024-05-25 13:18:22,339] - INFO: Epoch 7223/9999, Iter 361120: Loss = 0.01301877386868, lr = [2.5e-05] +[2024-05-25 13:18:49,975] - INFO: Epoch 7223/9999, Iter 361140: Loss = 0.014355430379509926, lr = [2.5e-05] +[2024-05-25 13:19:19,234] - INFO: Epoch 7224/9999, Iter 361160: Loss = 0.01506915595382452, lr = [2.5e-05] +[2024-05-25 13:19:47,219] - INFO: Epoch 7224/9999, Iter 361180: Loss = 0.011062403209507465, lr = [2.5e-05] +[2024-05-25 13:20:15,223] - INFO: Epoch 7225/9999, Iter 361200: Loss = 0.013756048865616322, lr = [2.5e-05] +[2024-05-25 13:20:43,557] - INFO: Epoch 7225/9999, Iter 361220: Loss = 0.010249991901218891, lr = [2.5e-05] +[2024-05-25 13:21:10,412] - INFO: Epoch 7225/9999, Iter 361240: Loss = 0.014013594947755337, lr = [2.5e-05] +[2024-05-25 13:21:22,868] - INFO: Evaluate at epoch 7225! +[2024-05-25 13:21:26,920] - INFO: Eval PSNR (max): 38.097 (7195) SSIM (max): 0.9611 (7195) +[2024-05-25 13:21:26,920] - INFO: Eval PSNR (current): 38.080 (7225) SSIM (current): 0.9611 (7225) +[2024-05-25 13:21:26,920] - INFO: Evaluation over. +[2024-05-25 13:21:44,706] - INFO: Epoch 7226/9999, Iter 361260: Loss = 0.014022988267242908, lr = [2.5e-05] +[2024-05-25 13:22:11,159] - INFO: Epoch 7226/9999, Iter 361280: Loss = 0.007978959940373898, lr = [2.5e-05] +[2024-05-25 13:22:40,203] - INFO: Epoch 7227/9999, Iter 361300: Loss = 0.009725786745548248, lr = [2.5e-05] +[2024-05-25 13:23:07,789] - INFO: Epoch 7227/9999, Iter 361320: Loss = 0.013570385985076427, lr = [2.5e-05] +[2024-05-25 13:23:36,003] - INFO: Epoch 7227/9999, Iter 361340: Loss = 0.010605819523334503, lr = [2.5e-05] +[2024-05-25 13:24:04,603] - INFO: Epoch 7228/9999, Iter 361360: Loss = 0.0085481321439147, lr = [2.5e-05] +[2024-05-25 13:24:33,291] - INFO: Epoch 7228/9999, Iter 361380: Loss = 0.014159451238811016, lr = [2.5e-05] +[2024-05-25 13:25:02,160] - INFO: Epoch 7229/9999, Iter 361400: Loss = 0.015571589581668377, lr = [2.5e-05] +[2024-05-25 13:25:30,827] - INFO: Epoch 7229/9999, Iter 361420: Loss = 0.013042617589235306, lr = [2.5e-05] +[2024-05-25 13:25:59,074] - INFO: Epoch 7229/9999, Iter 361440: Loss = 0.01246208418160677, lr = [2.5e-05] +[2024-05-25 13:26:26,958] - INFO: Epoch 7230/9999, Iter 361460: Loss = 0.011346166953444481, lr = [2.5e-05] +[2024-05-25 13:26:54,267] - INFO: Epoch 7230/9999, Iter 361480: Loss = 0.02072795107960701, lr = [2.5e-05] +[2024-05-25 13:27:20,794] - INFO: Evaluate at epoch 7230! +[2024-05-25 13:27:24,847] - INFO: Eval PSNR (max): 38.097 (7195) SSIM (max): 0.9611 (7195) +[2024-05-25 13:27:24,847] - INFO: Eval PSNR (current): 38.063 (7230) SSIM (current): 0.9610 (7230) +[2024-05-25 13:27:24,847] - INFO: Evaluation over. +[2024-05-25 13:27:29,608] - INFO: Epoch 7231/9999, Iter 361500: Loss = 0.013702505268156528, lr = [2.5e-05] +[2024-05-25 13:27:57,885] - INFO: Epoch 7231/9999, Iter 361520: Loss = 0.01347440481185913, lr = [2.5e-05] +[2024-05-25 13:28:25,804] - INFO: Epoch 7231/9999, Iter 361540: Loss = 0.013730010949075222, lr = [2.5e-05] +[2024-05-25 13:28:54,707] - INFO: Epoch 7232/9999, Iter 361560: Loss = 0.014197032898664474, lr = [2.5e-05] +[2024-05-25 13:29:22,551] - INFO: Epoch 7232/9999, Iter 361580: Loss = 0.011487537994980812, lr = [2.5e-05] +[2024-05-25 13:29:51,411] - INFO: Epoch 7233/9999, Iter 361600: Loss = 0.01056499220430851, lr = [2.5e-05] +[2024-05-25 13:30:19,109] - INFO: Epoch 7233/9999, Iter 361620: Loss = 0.01227799616754055, lr = [2.5e-05] +[2024-05-25 13:30:46,035] - INFO: Epoch 7233/9999, Iter 361640: Loss = 0.011572605930268764, lr = [2.5e-05] +[2024-05-25 13:31:15,310] - INFO: Epoch 7234/9999, Iter 361660: Loss = 0.01195013988763094, lr = [2.5e-05] +[2024-05-25 13:31:43,043] - INFO: Epoch 7234/9999, Iter 361680: Loss = 0.00932544469833374, lr = [2.5e-05] +[2024-05-25 13:32:12,171] - INFO: Epoch 7235/9999, Iter 361700: Loss = 0.009735490195453167, lr = [2.5e-05] +[2024-05-25 13:32:40,243] - INFO: Epoch 7235/9999, Iter 361720: Loss = 0.010747884400188923, lr = [2.5e-05] +[2024-05-25 13:33:07,775] - INFO: Epoch 7235/9999, Iter 361740: Loss = 0.011547415517270565, lr = [2.5e-05] +[2024-05-25 13:33:19,912] - INFO: Evaluate at epoch 7235! +[2024-05-25 13:33:23,958] - INFO: Eval PSNR (max): 38.097 (7195) SSIM (max): 0.9611 (7195) +[2024-05-25 13:33:23,959] - INFO: Eval PSNR (current): 38.060 (7235) SSIM (current): 0.9611 (7235) +[2024-05-25 13:33:23,959] - INFO: Evaluation over. +[2024-05-25 13:33:43,627] - INFO: Epoch 7236/9999, Iter 361760: Loss = 0.014848032966256142, lr = [2.5e-05] +[2024-05-25 13:34:11,529] - INFO: Epoch 7236/9999, Iter 361780: Loss = 0.00804927945137024, lr = [2.5e-05] +[2024-05-25 13:34:40,296] - INFO: Epoch 7237/9999, Iter 361800: Loss = 0.014344175346195698, lr = [2.5e-05] +[2024-05-25 13:35:08,947] - INFO: Epoch 7237/9999, Iter 361820: Loss = 0.021936187520623207, lr = [2.5e-05] +[2024-05-25 13:35:36,487] - INFO: Epoch 7237/9999, Iter 361840: Loss = 0.011646323837339878, lr = [2.5e-05] +[2024-05-25 13:36:06,256] - INFO: Epoch 7238/9999, Iter 361860: Loss = 0.008215592242777348, lr = [2.5e-05] +[2024-05-25 13:36:34,410] - INFO: Epoch 7238/9999, Iter 361880: Loss = 0.010999136604368687, lr = [2.5e-05] +[2024-05-25 13:37:02,651] - INFO: Epoch 7239/9999, Iter 361900: Loss = 0.012724731117486954, lr = [2.5e-05] +[2024-05-25 13:37:30,735] - INFO: Epoch 7239/9999, Iter 361920: Loss = 0.011529803276062012, lr = [2.5e-05] +[2024-05-25 13:37:57,840] - INFO: Epoch 7239/9999, Iter 361940: Loss = 0.009353043511509895, lr = [2.5e-05] +[2024-05-25 13:38:27,139] - INFO: Epoch 7240/9999, Iter 361960: Loss = 0.013567538000643253, lr = [2.5e-05] +[2024-05-25 13:38:54,482] - INFO: Epoch 7240/9999, Iter 361980: Loss = 0.01574774645268917, lr = [2.5e-05] +[2024-05-25 13:39:21,019] - INFO: Evaluate at epoch 7240! +[2024-05-25 13:39:25,067] - INFO: Eval PSNR (max): 38.097 (7195) SSIM (max): 0.9611 (7195) +[2024-05-25 13:39:25,067] - INFO: Eval PSNR (current): 38.072 (7240) SSIM (current): 0.9611 (7240) +[2024-05-25 13:39:25,067] - INFO: Evaluation over. +[2024-05-25 13:39:29,762] - INFO: Epoch 7241/9999, Iter 362000: Loss = 0.013480005785822868, lr = [2.5e-05] +[2024-05-25 13:39:56,552] - INFO: Epoch 7241/9999, Iter 362020: Loss = 0.018155522644519806, lr = [2.5e-05] +[2024-05-25 13:40:23,442] - INFO: Epoch 7241/9999, Iter 362040: Loss = 0.016560543328523636, lr = [2.5e-05] +[2024-05-25 13:40:52,851] - INFO: Epoch 7242/9999, Iter 362060: Loss = 0.011315792798995972, lr = [2.5e-05] +[2024-05-25 13:41:19,877] - INFO: Epoch 7242/9999, Iter 362080: Loss = 0.011675504967570305, lr = [2.5e-05] +[2024-05-25 13:41:49,335] - INFO: Epoch 7243/9999, Iter 362100: Loss = 0.01583019271492958, lr = [2.5e-05] +[2024-05-25 13:42:17,059] - INFO: Epoch 7243/9999, Iter 362120: Loss = 0.010714109055697918, lr = [2.5e-05] +[2024-05-25 13:42:45,275] - INFO: Epoch 7243/9999, Iter 362140: Loss = 0.009836184792220592, lr = [2.5e-05] +[2024-05-25 13:43:13,976] - INFO: Epoch 7244/9999, Iter 362160: Loss = 0.012694991193711758, lr = [2.5e-05] +[2024-05-25 13:43:41,854] - INFO: Epoch 7244/9999, Iter 362180: Loss = 0.012984856963157654, lr = [2.5e-05] +[2024-05-25 13:44:10,595] - INFO: Epoch 7245/9999, Iter 362200: Loss = 0.008269873447716236, lr = [2.5e-05] +[2024-05-25 13:44:39,070] - INFO: Epoch 7245/9999, Iter 362220: Loss = 0.009926439262926579, lr = [2.5e-05] +[2024-05-25 13:45:06,207] - INFO: Epoch 7245/9999, Iter 362240: Loss = 0.013529525138437748, lr = [2.5e-05] +[2024-05-25 13:45:18,511] - INFO: Evaluate at epoch 7245! +[2024-05-25 13:45:22,556] - INFO: Eval PSNR (max): 38.097 (7195) SSIM (max): 0.9611 (7195) +[2024-05-25 13:45:22,556] - INFO: Eval PSNR (current): 38.070 (7245) SSIM (current): 0.9611 (7245) +[2024-05-25 13:45:22,556] - INFO: Evaluation over. +[2024-05-25 13:45:40,229] - INFO: Epoch 7246/9999, Iter 362260: Loss = 0.016254980117082596, lr = [2.5e-05] +[2024-05-25 13:46:07,368] - INFO: Epoch 7246/9999, Iter 362280: Loss = 0.010613631457090378, lr = [2.5e-05] +[2024-05-25 13:46:37,215] - INFO: Epoch 7247/9999, Iter 362300: Loss = 0.014020830392837524, lr = [2.5e-05] +[2024-05-25 13:47:05,181] - INFO: Epoch 7247/9999, Iter 362320: Loss = 0.008128916844725609, lr = [2.5e-05] +[2024-05-25 13:47:32,036] - INFO: Epoch 7247/9999, Iter 362340: Loss = 0.010371831245720387, lr = [2.5e-05] +[2024-05-25 13:48:01,086] - INFO: Epoch 7248/9999, Iter 362360: Loss = 0.009559793397784233, lr = [2.5e-05] +[2024-05-25 13:48:28,381] - INFO: Epoch 7248/9999, Iter 362380: Loss = 0.016362635418772697, lr = [2.5e-05] +[2024-05-25 13:48:58,092] - INFO: Epoch 7249/9999, Iter 362400: Loss = 0.012846223078668118, lr = [2.5e-05] +[2024-05-25 13:49:25,335] - INFO: Epoch 7249/9999, Iter 362420: Loss = 0.010715777054429054, lr = [2.5e-05] +[2024-05-25 13:49:52,764] - INFO: Epoch 7249/9999, Iter 362440: Loss = 0.01495171245187521, lr = [2.5e-05] +[2024-05-25 13:50:21,463] - INFO: Epoch 7250/9999, Iter 362460: Loss = 0.010697519406676292, lr = [2.5e-05] +[2024-05-25 13:50:48,799] - INFO: Epoch 7250/9999, Iter 362480: Loss = 0.011114164255559444, lr = [2.5e-05] +[2024-05-25 13:51:15,445] - INFO: Evaluate at epoch 7250! +[2024-05-25 13:51:19,498] - INFO: Eval PSNR (max): 38.097 (7195) SSIM (max): 0.9611 (7195) +[2024-05-25 13:51:19,499] - INFO: Eval PSNR (current): 38.081 (7250) SSIM (current): 0.9611 (7250) +[2024-05-25 13:51:19,499] - INFO: Evaluation over. +[2024-05-25 13:51:24,224] - INFO: Epoch 7251/9999, Iter 362500: Loss = 0.01573074236512184, lr = [2.5e-05] +[2024-05-25 13:51:51,496] - INFO: Epoch 7251/9999, Iter 362520: Loss = 0.011907754465937614, lr = [2.5e-05] +[2024-05-25 13:52:19,459] - INFO: Epoch 7251/9999, Iter 362540: Loss = 0.010788392275571823, lr = [2.5e-05] +[2024-05-25 13:52:48,041] - INFO: Epoch 7252/9999, Iter 362560: Loss = 0.010721472091972828, lr = [2.5e-05] +[2024-05-25 13:53:16,857] - INFO: Epoch 7252/9999, Iter 362580: Loss = 0.012325393036007881, lr = [2.5e-05] +[2024-05-25 13:53:45,719] - INFO: Epoch 7253/9999, Iter 362600: Loss = 0.01163242757320404, lr = [2.5e-05] +[2024-05-25 13:54:13,803] - INFO: Epoch 7253/9999, Iter 362620: Loss = 0.013854782097041607, lr = [2.5e-05] +[2024-05-25 13:54:40,868] - INFO: Epoch 7253/9999, Iter 362640: Loss = 0.014872251078486443, lr = [2.5e-05] +[2024-05-25 13:55:09,756] - INFO: Epoch 7254/9999, Iter 362660: Loss = 0.01321439165621996, lr = [2.5e-05] +[2024-05-25 13:55:36,807] - INFO: Epoch 7254/9999, Iter 362680: Loss = 0.019155003130435944, lr = [2.5e-05] +[2024-05-25 13:56:06,484] - INFO: Epoch 7255/9999, Iter 362700: Loss = 0.012873988598585129, lr = [2.5e-05] +[2024-05-25 13:56:34,441] - INFO: Epoch 7255/9999, Iter 362720: Loss = 0.01238778792321682, lr = [2.5e-05] +[2024-05-25 13:57:02,194] - INFO: Epoch 7255/9999, Iter 362740: Loss = 0.017188210040330887, lr = [2.5e-05] +[2024-05-25 13:57:14,598] - INFO: Evaluate at epoch 7255! +[2024-05-25 13:57:18,644] - INFO: Eval PSNR (max): 38.097 (7195) SSIM (max): 0.9611 (7195) +[2024-05-25 13:57:18,644] - INFO: Eval PSNR (current): 38.047 (7255) SSIM (current): 0.9609 (7255) +[2024-05-25 13:57:18,644] - INFO: Evaluation over. +[2024-05-25 13:57:37,768] - INFO: Epoch 7256/9999, Iter 362760: Loss = 0.017819220200181007, lr = [2.5e-05] +[2024-05-25 13:58:04,878] - INFO: Epoch 7256/9999, Iter 362780: Loss = 0.012717979960143566, lr = [2.5e-05] +[2024-05-25 13:58:33,874] - INFO: Epoch 7257/9999, Iter 362800: Loss = 0.010312766768038273, lr = [2.5e-05] +[2024-05-25 13:59:02,105] - INFO: Epoch 7257/9999, Iter 362820: Loss = 0.015144051983952522, lr = [2.5e-05] +[2024-05-25 13:59:30,003] - INFO: Epoch 7257/9999, Iter 362840: Loss = 0.011224759742617607, lr = [2.5e-05] +[2024-05-25 13:59:58,608] - INFO: Epoch 7258/9999, Iter 362860: Loss = 0.01423552818596363, lr = [2.5e-05] +[2024-05-25 14:00:27,226] - INFO: Epoch 7258/9999, Iter 362880: Loss = 0.012173190712928772, lr = [2.5e-05] +[2024-05-25 14:00:56,043] - INFO: Epoch 7259/9999, Iter 362900: Loss = 0.01175527460873127, lr = [2.5e-05] +[2024-05-25 14:01:23,616] - INFO: Epoch 7259/9999, Iter 362920: Loss = 0.011367904022336006, lr = [2.5e-05] +[2024-05-25 14:01:50,447] - INFO: Epoch 7259/9999, Iter 362940: Loss = 0.012267057783901691, lr = [2.5e-05] +[2024-05-25 14:02:19,488] - INFO: Epoch 7260/9999, Iter 362960: Loss = 0.012690861709415913, lr = [2.5e-05] +[2024-05-25 14:02:47,785] - INFO: Epoch 7260/9999, Iter 362980: Loss = 0.01104947179555893, lr = [2.5e-05] +[2024-05-25 14:03:13,682] - INFO: Evaluate at epoch 7260! +[2024-05-25 14:03:17,721] - INFO: Eval PSNR (max): 38.097 (7195) SSIM (max): 0.9611 (7195) +[2024-05-25 14:03:17,721] - INFO: Eval PSNR (current): 38.076 (7260) SSIM (current): 0.9611 (7260) +[2024-05-25 14:03:17,721] - INFO: Evaluation over. +[2024-05-25 14:03:22,507] - INFO: Epoch 7261/9999, Iter 363000: Loss = 0.014803657308220863, lr = [2.5e-05] +[2024-05-25 14:03:50,258] - INFO: Epoch 7261/9999, Iter 363020: Loss = 0.01921219564974308, lr = [2.5e-05] +[2024-05-25 14:04:18,550] - INFO: Epoch 7261/9999, Iter 363040: Loss = 0.015097368508577347, lr = [2.5e-05] +[2024-05-25 14:04:47,655] - INFO: Epoch 7262/9999, Iter 363060: Loss = 0.010919087566435337, lr = [2.5e-05] +[2024-05-25 14:05:15,007] - INFO: Epoch 7262/9999, Iter 363080: Loss = 0.013996976427733898, lr = [2.5e-05] +[2024-05-25 14:05:43,535] - INFO: Epoch 7263/9999, Iter 363100: Loss = 0.013041682541370392, lr = [2.5e-05] +[2024-05-25 14:06:12,163] - INFO: Epoch 7263/9999, Iter 363120: Loss = 0.010629329830408096, lr = [2.5e-05] +[2024-05-25 14:06:39,682] - INFO: Epoch 7263/9999, Iter 363140: Loss = 0.01400345005095005, lr = [2.5e-05] +[2024-05-25 14:07:08,047] - INFO: Epoch 7264/9999, Iter 363160: Loss = 0.014064176008105278, lr = [2.5e-05] +[2024-05-25 14:07:35,068] - INFO: Epoch 7264/9999, Iter 363180: Loss = 0.0174789410084486, lr = [2.5e-05] +[2024-05-25 14:08:04,004] - INFO: Epoch 7265/9999, Iter 363200: Loss = 0.007019251585006714, lr = [2.5e-05] +[2024-05-25 14:08:32,059] - INFO: Epoch 7265/9999, Iter 363220: Loss = 0.016527626663446426, lr = [2.5e-05] +[2024-05-25 14:09:00,387] - INFO: Epoch 7265/9999, Iter 363240: Loss = 0.009971662424504757, lr = [2.5e-05] +[2024-05-25 14:09:12,411] - INFO: Evaluate at epoch 7265! +[2024-05-25 14:09:18,248] - INFO: Eval PSNR (max): 38.097 (7195) SSIM (max): 0.9612 (7265) +[2024-05-25 14:09:18,248] - INFO: Eval PSNR (current): 38.074 (7265) SSIM (current): 0.9612 (7265) +[2024-05-25 14:09:18,249] - INFO: Evaluation over. +[2024-05-25 14:09:36,143] - INFO: Epoch 7266/9999, Iter 363260: Loss = 0.013136176392436028, lr = [2.5e-05] +[2024-05-25 14:10:03,275] - INFO: Epoch 7266/9999, Iter 363280: Loss = 0.011021074838936329, lr = [2.5e-05] +[2024-05-25 14:10:31,857] - INFO: Epoch 7267/9999, Iter 363300: Loss = 0.01254123542457819, lr = [2.5e-05] +[2024-05-25 14:10:59,735] - INFO: Epoch 7267/9999, Iter 363320: Loss = 0.014765591360628605, lr = [2.5e-05] +[2024-05-25 14:11:27,251] - INFO: Epoch 7267/9999, Iter 363340: Loss = 0.008824442513287067, lr = [2.5e-05] +[2024-05-25 14:11:56,483] - INFO: Epoch 7268/9999, Iter 363360: Loss = 0.016898736357688904, lr = [2.5e-05] +[2024-05-25 14:12:24,167] - INFO: Epoch 7268/9999, Iter 363380: Loss = 0.012687692418694496, lr = [2.5e-05] +[2024-05-25 14:12:52,571] - INFO: Epoch 7269/9999, Iter 363400: Loss = 0.011839405633509159, lr = [2.5e-05] +[2024-05-25 14:13:20,518] - INFO: Epoch 7269/9999, Iter 363420: Loss = 0.011746382340788841, lr = [2.5e-05] +[2024-05-25 14:13:47,327] - INFO: Epoch 7269/9999, Iter 363440: Loss = 0.009703896939754486, lr = [2.5e-05] +[2024-05-25 14:14:15,548] - INFO: Epoch 7270/9999, Iter 363460: Loss = 0.009619402699172497, lr = [2.5e-05] +[2024-05-25 14:14:43,843] - INFO: Epoch 7270/9999, Iter 363480: Loss = 0.008859746158123016, lr = [2.5e-05] +[2024-05-25 14:15:10,564] - INFO: Evaluate at epoch 7270! +[2024-05-25 14:15:14,604] - INFO: Eval PSNR (max): 38.097 (7195) SSIM (max): 0.9612 (7265) +[2024-05-25 14:15:14,604] - INFO: Eval PSNR (current): 38.048 (7270) SSIM (current): 0.9611 (7270) +[2024-05-25 14:15:14,604] - INFO: Evaluation over. +[2024-05-25 14:15:19,318] - INFO: Epoch 7271/9999, Iter 363500: Loss = 0.013583419844508171, lr = [2.5e-05] +[2024-05-25 14:15:47,367] - INFO: Epoch 7271/9999, Iter 363520: Loss = 0.00908244401216507, lr = [2.5e-05] +[2024-05-25 14:16:15,027] - INFO: Epoch 7271/9999, Iter 363540: Loss = 0.009403196163475513, lr = [2.5e-05] +[2024-05-25 14:16:44,628] - INFO: Epoch 7272/9999, Iter 363560: Loss = 0.010736645199358463, lr = [2.5e-05] +[2024-05-25 14:17:11,381] - INFO: Epoch 7272/9999, Iter 363580: Loss = 0.008955017663538456, lr = [2.5e-05] +[2024-05-25 14:17:39,803] - INFO: Epoch 7273/9999, Iter 363600: Loss = 0.010206632316112518, lr = [2.5e-05] +[2024-05-25 14:18:07,611] - INFO: Epoch 7273/9999, Iter 363620: Loss = 0.01548175048083067, lr = [2.5e-05] +[2024-05-25 14:18:36,017] - INFO: Epoch 7273/9999, Iter 363640: Loss = 0.01506350003182888, lr = [2.5e-05] +[2024-05-25 14:19:03,954] - INFO: Epoch 7274/9999, Iter 363660: Loss = 0.012714606709778309, lr = [2.5e-05] +[2024-05-25 14:19:30,751] - INFO: Epoch 7274/9999, Iter 363680: Loss = 0.010284368880093098, lr = [2.5e-05] +[2024-05-25 14:19:59,523] - INFO: Epoch 7275/9999, Iter 363700: Loss = 0.011064772494137287, lr = [2.5e-05] +[2024-05-25 14:20:27,290] - INFO: Epoch 7275/9999, Iter 363720: Loss = 0.01548344362527132, lr = [2.5e-05] +[2024-05-25 14:20:54,147] - INFO: Epoch 7275/9999, Iter 363740: Loss = 0.014376969076693058, lr = [2.5e-05] +[2024-05-25 14:21:06,705] - INFO: Evaluate at epoch 7275! +[2024-05-25 14:21:10,761] - INFO: Eval PSNR (max): 38.097 (7195) SSIM (max): 0.9612 (7265) +[2024-05-25 14:21:10,761] - INFO: Eval PSNR (current): 38.096 (7275) SSIM (current): 0.9611 (7275) +[2024-05-25 14:21:10,761] - INFO: Evaluation over. +[2024-05-25 14:21:28,788] - INFO: Epoch 7276/9999, Iter 363760: Loss = 0.009142568334937096, lr = [2.5e-05] +[2024-05-25 14:21:55,824] - INFO: Epoch 7276/9999, Iter 363780: Loss = 0.019167207181453705, lr = [2.5e-05] +[2024-05-25 14:22:24,743] - INFO: Epoch 7277/9999, Iter 363800: Loss = 0.011859217658638954, lr = [2.5e-05] +[2024-05-25 14:22:52,858] - INFO: Epoch 7277/9999, Iter 363820: Loss = 0.01260443963110447, lr = [2.5e-05] +[2024-05-25 14:23:21,059] - INFO: Epoch 7277/9999, Iter 363840: Loss = 0.011681185103952885, lr = [2.5e-05] +[2024-05-25 14:23:49,255] - INFO: Epoch 7278/9999, Iter 363860: Loss = 0.012433857657015324, lr = [2.5e-05] +[2024-05-25 14:24:17,699] - INFO: Epoch 7278/9999, Iter 363880: Loss = 0.017628315836191177, lr = [2.5e-05] +[2024-05-25 14:24:46,565] - INFO: Epoch 7279/9999, Iter 363900: Loss = 0.012445640750229359, lr = [2.5e-05] +[2024-05-25 14:25:13,332] - INFO: Epoch 7279/9999, Iter 363920: Loss = 0.01712142303586006, lr = [2.5e-05] +[2024-05-25 14:25:40,371] - INFO: Epoch 7279/9999, Iter 363940: Loss = 0.014817760325968266, lr = [2.5e-05] +[2024-05-25 14:26:09,199] - INFO: Epoch 7280/9999, Iter 363960: Loss = 0.014607393182814121, lr = [2.5e-05] +[2024-05-25 14:26:37,315] - INFO: Epoch 7280/9999, Iter 363980: Loss = 0.014970283955335617, lr = [2.5e-05] +[2024-05-25 14:27:03,897] - INFO: Evaluate at epoch 7280! +[2024-05-25 14:27:07,942] - INFO: Eval PSNR (max): 38.097 (7195) SSIM (max): 0.9612 (7265) +[2024-05-25 14:27:07,942] - INFO: Eval PSNR (current): 38.076 (7280) SSIM (current): 0.9611 (7280) +[2024-05-25 14:27:07,942] - INFO: Evaluation over. +[2024-05-25 14:27:13,313] - INFO: Epoch 7281/9999, Iter 364000: Loss = 0.01359419897198677, lr = [2.5e-05] +[2024-05-25 14:27:41,290] - INFO: Epoch 7281/9999, Iter 364020: Loss = 0.011951388791203499, lr = [2.5e-05] +[2024-05-25 14:28:09,835] - INFO: Epoch 7281/9999, Iter 364040: Loss = 0.009023246355354786, lr = [2.5e-05] +[2024-05-25 14:28:37,937] - INFO: Epoch 7282/9999, Iter 364060: Loss = 0.011484126560389996, lr = [2.5e-05] +[2024-05-25 14:29:06,035] - INFO: Epoch 7282/9999, Iter 364080: Loss = 0.011674840934574604, lr = [2.5e-05] +[2024-05-25 14:29:34,847] - INFO: Epoch 7283/9999, Iter 364100: Loss = 0.01227827463299036, lr = [2.5e-05] +[2024-05-25 14:30:02,663] - INFO: Epoch 7283/9999, Iter 364120: Loss = 0.011178839020431042, lr = [2.5e-05] +[2024-05-25 14:30:30,576] - INFO: Epoch 7283/9999, Iter 364140: Loss = 0.020174100995063782, lr = [2.5e-05] +[2024-05-25 14:30:59,775] - INFO: Epoch 7284/9999, Iter 364160: Loss = 0.016105540096759796, lr = [2.5e-05] +[2024-05-25 14:31:28,210] - INFO: Epoch 7284/9999, Iter 364180: Loss = 0.008861982263624668, lr = [2.5e-05] +[2024-05-25 14:31:57,034] - INFO: Epoch 7285/9999, Iter 364200: Loss = 0.010447436012327671, lr = [2.5e-05] +[2024-05-25 14:32:25,383] - INFO: Epoch 7285/9999, Iter 364220: Loss = 0.015267938375473022, lr = [2.5e-05] +[2024-05-25 14:32:52,399] - INFO: Epoch 7285/9999, Iter 364240: Loss = 0.00826131273061037, lr = [2.5e-05] +[2024-05-25 14:33:05,047] - INFO: Evaluate at epoch 7285! +[2024-05-25 14:33:09,159] - INFO: Eval PSNR (max): 38.097 (7195) SSIM (max): 0.9612 (7265) +[2024-05-25 14:33:09,159] - INFO: Eval PSNR (current): 38.067 (7285) SSIM (current): 0.9611 (7285) +[2024-05-25 14:33:09,160] - INFO: Evaluation over. +[2024-05-25 14:33:28,183] - INFO: Epoch 7286/9999, Iter 364260: Loss = 0.017666203901171684, lr = [2.5e-05] +[2024-05-25 14:33:55,571] - INFO: Epoch 7286/9999, Iter 364280: Loss = 0.010060617700219154, lr = [2.5e-05] +[2024-05-25 14:34:24,884] - INFO: Epoch 7287/9999, Iter 364300: Loss = 0.012281899340450764, lr = [2.5e-05] +[2024-05-25 14:34:52,679] - INFO: Epoch 7287/9999, Iter 364320: Loss = 0.012278047390282154, lr = [2.5e-05] +[2024-05-25 14:35:21,007] - INFO: Epoch 7287/9999, Iter 364340: Loss = 0.014777290634810925, lr = [2.5e-05] +[2024-05-25 14:35:49,553] - INFO: Epoch 7288/9999, Iter 364360: Loss = 0.012515265494585037, lr = [2.5e-05] +[2024-05-25 14:36:17,351] - INFO: Epoch 7288/9999, Iter 364380: Loss = 0.009965711273252964, lr = [2.5e-05] +[2024-05-25 14:36:46,107] - INFO: Epoch 7289/9999, Iter 364400: Loss = 0.01225721649825573, lr = [2.5e-05] +[2024-05-25 14:37:13,127] - INFO: Epoch 7289/9999, Iter 364420: Loss = 0.010083536617457867, lr = [2.5e-05] +[2024-05-25 14:37:40,647] - INFO: Epoch 7289/9999, Iter 364440: Loss = 0.010310919024050236, lr = [2.5e-05] +[2024-05-25 14:38:10,808] - INFO: Epoch 7290/9999, Iter 364460: Loss = 0.011115683242678642, lr = [2.5e-05] +[2024-05-25 14:38:36,999] - INFO: Epoch 7290/9999, Iter 364480: Loss = 0.019363440573215485, lr = [2.5e-05] +[2024-05-25 14:39:03,234] - INFO: Evaluate at epoch 7290! +[2024-05-25 14:39:07,251] - INFO: Eval PSNR (max): 38.097 (7195) SSIM (max): 0.9612 (7265) +[2024-05-25 14:39:07,251] - INFO: Eval PSNR (current): 38.046 (7290) SSIM (current): 0.9611 (7290) +[2024-05-25 14:39:07,251] - INFO: Evaluation over. +[2024-05-25 14:39:11,934] - INFO: Epoch 7291/9999, Iter 364500: Loss = 0.015888545662164688, lr = [2.5e-05] +[2024-05-25 14:39:38,692] - INFO: Epoch 7291/9999, Iter 364520: Loss = 0.01549902930855751, lr = [2.5e-05] +[2024-05-25 14:40:05,964] - INFO: Epoch 7291/9999, Iter 364540: Loss = 0.012820461764931679, lr = [2.5e-05] +[2024-05-25 14:40:35,758] - INFO: Epoch 7292/9999, Iter 364560: Loss = 0.01531020738184452, lr = [2.5e-05] +[2024-05-25 14:41:03,574] - INFO: Epoch 7292/9999, Iter 364580: Loss = 0.010760974138975143, lr = [2.5e-05] +[2024-05-25 14:41:31,980] - INFO: Epoch 7293/9999, Iter 364600: Loss = 0.009016396477818489, lr = [2.5e-05] +[2024-05-25 14:41:59,816] - INFO: Epoch 7293/9999, Iter 364620: Loss = 0.010627406649291515, lr = [2.5e-05] +[2024-05-25 14:42:26,444] - INFO: Epoch 7293/9999, Iter 364640: Loss = 0.016882089897990227, lr = [2.5e-05] +[2024-05-25 14:42:55,427] - INFO: Epoch 7294/9999, Iter 364660: Loss = 0.012049812823534012, lr = [2.5e-05] +[2024-05-25 14:43:23,183] - INFO: Epoch 7294/9999, Iter 364680: Loss = 0.008709839545190334, lr = [2.5e-05] +[2024-05-25 14:43:52,339] - INFO: Epoch 7295/9999, Iter 364700: Loss = 0.012648302130401134, lr = [2.5e-05] +[2024-05-25 14:44:20,459] - INFO: Epoch 7295/9999, Iter 364720: Loss = 0.007124067284166813, lr = [2.5e-05] +[2024-05-25 14:44:48,496] - INFO: Epoch 7295/9999, Iter 364740: Loss = 0.010704921558499336, lr = [2.5e-05] +[2024-05-25 14:45:00,553] - INFO: Evaluate at epoch 7295! +[2024-05-25 14:45:04,530] - INFO: Eval PSNR (max): 38.097 (7195) SSIM (max): 0.9612 (7265) +[2024-05-25 14:45:04,530] - INFO: Eval PSNR (current): 38.076 (7295) SSIM (current): 0.9611 (7295) +[2024-05-25 14:45:04,530] - INFO: Evaluation over. +[2024-05-25 14:45:23,585] - INFO: Epoch 7296/9999, Iter 364760: Loss = 0.014336597174406052, lr = [2.5e-05] +[2024-05-25 14:45:51,727] - INFO: Epoch 7296/9999, Iter 364780: Loss = 0.010699065402150154, lr = [2.5e-05] +[2024-05-25 14:46:20,571] - INFO: Epoch 7297/9999, Iter 364800: Loss = 0.01537400670349598, lr = [2.5e-05] +[2024-05-25 14:46:48,163] - INFO: Epoch 7297/9999, Iter 364820: Loss = 0.014206773601472378, lr = [2.5e-05] +[2024-05-25 14:47:16,540] - INFO: Epoch 7297/9999, Iter 364840: Loss = 0.006255163345485926, lr = [2.5e-05] +[2024-05-25 14:47:45,507] - INFO: Epoch 7298/9999, Iter 364860: Loss = 0.012881958857178688, lr = [2.5e-05] +[2024-05-25 14:48:12,630] - INFO: Epoch 7298/9999, Iter 364880: Loss = 0.011232353746891022, lr = [2.5e-05] +[2024-05-25 14:48:41,203] - INFO: Epoch 7299/9999, Iter 364900: Loss = 0.018884262070059776, lr = [2.5e-05] +[2024-05-25 14:49:08,744] - INFO: Epoch 7299/9999, Iter 364920: Loss = 0.013750380836427212, lr = [2.5e-05] +[2024-05-25 14:49:36,976] - INFO: Epoch 7299/9999, Iter 364940: Loss = 0.010731564834713936, lr = [2.5e-05] +[2024-05-25 14:50:06,319] - INFO: Epoch 7300/9999, Iter 364960: Loss = 0.015415745787322521, lr = [2.5e-05] +[2024-05-25 14:50:34,767] - INFO: Epoch 7300/9999, Iter 364980: Loss = 0.01220775581896305, lr = [2.5e-05] +[2024-05-25 14:51:00,542] - INFO: Evaluate at epoch 7300! +[2024-05-25 14:51:04,536] - INFO: Eval PSNR (max): 38.097 (7195) SSIM (max): 0.9612 (7265) +[2024-05-25 14:51:04,536] - INFO: Eval PSNR (current): 38.063 (7300) SSIM (current): 0.9611 (7300) +[2024-05-25 14:51:04,536] - INFO: Evaluation over. +[2024-05-25 14:51:09,235] - INFO: Epoch 7301/9999, Iter 365000: Loss = 0.017141230404376984, lr = [2.5e-05] +[2024-05-25 14:51:37,527] - INFO: Epoch 7301/9999, Iter 365020: Loss = 0.01360511314123869, lr = [2.5e-05] +[2024-05-25 14:52:05,971] - INFO: Epoch 7301/9999, Iter 365040: Loss = 0.014668738469481468, lr = [2.5e-05] +[2024-05-25 14:52:35,231] - INFO: Epoch 7302/9999, Iter 365060: Loss = 0.009078850038349628, lr = [2.5e-05] +[2024-05-25 14:53:03,242] - INFO: Epoch 7302/9999, Iter 365080: Loss = 0.008764374069869518, lr = [2.5e-05] +[2024-05-25 14:53:31,799] - INFO: Epoch 7303/9999, Iter 365100: Loss = 0.01779996044933796, lr = [2.5e-05] +[2024-05-25 14:53:59,927] - INFO: Epoch 7303/9999, Iter 365120: Loss = 0.008726741187274456, lr = [2.5e-05] +[2024-05-25 14:54:28,427] - INFO: Epoch 7303/9999, Iter 365140: Loss = 0.011435496620833874, lr = [2.5e-05] +[2024-05-25 14:54:57,595] - INFO: Epoch 7304/9999, Iter 365160: Loss = 0.008341193199157715, lr = [2.5e-05] +[2024-05-25 14:55:25,839] - INFO: Epoch 7304/9999, Iter 365180: Loss = 0.017058242112398148, lr = [2.5e-05] +[2024-05-25 14:55:54,812] - INFO: Epoch 7305/9999, Iter 365200: Loss = 0.012268406338989735, lr = [2.5e-05] +[2024-05-25 14:56:23,267] - INFO: Epoch 7305/9999, Iter 365220: Loss = 0.011416071094572544, lr = [2.5e-05] +[2024-05-25 14:56:51,403] - INFO: Epoch 7305/9999, Iter 365240: Loss = 0.01286586094647646, lr = [2.5e-05] +[2024-05-25 14:57:03,206] - INFO: Evaluate at epoch 7305! +[2024-05-25 14:57:07,277] - INFO: Eval PSNR (max): 38.097 (7195) SSIM (max): 0.9612 (7265) +[2024-05-25 14:57:07,278] - INFO: Eval PSNR (current): 38.048 (7305) SSIM (current): 0.9611 (7305) +[2024-05-25 14:57:07,278] - INFO: Evaluation over. +[2024-05-25 14:57:26,072] - INFO: Epoch 7306/9999, Iter 365260: Loss = 0.019187595695257187, lr = [2.5e-05] +[2024-05-25 14:57:53,096] - INFO: Epoch 7306/9999, Iter 365280: Loss = 0.010606123134493828, lr = [2.5e-05] +[2024-05-25 14:58:21,635] - INFO: Epoch 7307/9999, Iter 365300: Loss = 0.013670563697814941, lr = [2.5e-05] +[2024-05-25 14:58:49,238] - INFO: Epoch 7307/9999, Iter 365320: Loss = 0.018783874809741974, lr = [2.5e-05] +[2024-05-25 14:59:17,020] - INFO: Epoch 7307/9999, Iter 365340: Loss = 0.009618263691663742, lr = [2.5e-05] +[2024-05-25 14:59:45,453] - INFO: Epoch 7308/9999, Iter 365360: Loss = 0.010105336084961891, lr = [2.5e-05] +[2024-05-25 15:00:12,319] - INFO: Epoch 7308/9999, Iter 365380: Loss = 0.011012084782123566, lr = [2.5e-05] +[2024-05-25 15:00:41,511] - INFO: Epoch 7309/9999, Iter 365400: Loss = 0.012015024200081825, lr = [2.5e-05] +[2024-05-25 15:01:08,609] - INFO: Epoch 7309/9999, Iter 365420: Loss = 0.019685614854097366, lr = [2.5e-05] +[2024-05-25 15:01:35,502] - INFO: Epoch 7309/9999, Iter 365440: Loss = 0.010860396549105644, lr = [2.5e-05] +[2024-05-25 15:02:04,527] - INFO: Epoch 7310/9999, Iter 365460: Loss = 0.01457824744284153, lr = [2.5e-05] +[2024-05-25 15:02:33,235] - INFO: Epoch 7310/9999, Iter 365480: Loss = 0.009139258414506912, lr = [2.5e-05] +[2024-05-25 15:02:59,256] - INFO: Evaluate at epoch 7310! +[2024-05-25 15:03:03,303] - INFO: Eval PSNR (max): 38.097 (7195) SSIM (max): 0.9612 (7265) +[2024-05-25 15:03:03,303] - INFO: Eval PSNR (current): 38.071 (7310) SSIM (current): 0.9611 (7310) +[2024-05-25 15:03:03,303] - INFO: Evaluation over. +[2024-05-25 15:03:08,311] - INFO: Epoch 7311/9999, Iter 365500: Loss = 0.010487962514162064, lr = [2.5e-05] +[2024-05-25 15:03:36,611] - INFO: Epoch 7311/9999, Iter 365520: Loss = 0.013139614835381508, lr = [2.5e-05] +[2024-05-25 15:04:03,715] - INFO: Epoch 7311/9999, Iter 365540: Loss = 0.01190586481243372, lr = [2.5e-05] +[2024-05-25 15:04:32,562] - INFO: Epoch 7312/9999, Iter 365560: Loss = 0.012950506992638111, lr = [2.5e-05] +[2024-05-25 15:05:00,254] - INFO: Epoch 7312/9999, Iter 365580: Loss = 0.011192893609404564, lr = [2.5e-05] +[2024-05-25 15:05:29,863] - INFO: Epoch 7313/9999, Iter 365600: Loss = 0.009162484668195248, lr = [2.5e-05] +[2024-05-25 15:05:57,988] - INFO: Epoch 7313/9999, Iter 365620: Loss = 0.01599850505590439, lr = [2.5e-05] +[2024-05-25 15:06:25,935] - INFO: Epoch 7313/9999, Iter 365640: Loss = 0.011954743415117264, lr = [2.5e-05] +[2024-05-25 15:06:54,524] - INFO: Epoch 7314/9999, Iter 365660: Loss = 0.011138050816953182, lr = [2.5e-05] +[2024-05-25 15:07:22,572] - INFO: Epoch 7314/9999, Iter 365680: Loss = 0.014826134778559208, lr = [2.5e-05] +[2024-05-25 15:07:52,136] - INFO: Epoch 7315/9999, Iter 365700: Loss = 0.012386647053062916, lr = [2.5e-05] +[2024-05-25 15:08:19,899] - INFO: Epoch 7315/9999, Iter 365720: Loss = 0.013302212581038475, lr = [2.5e-05] +[2024-05-25 15:08:47,846] - INFO: Epoch 7315/9999, Iter 365740: Loss = 0.015698039904236794, lr = [2.5e-05] +[2024-05-25 15:09:00,140] - INFO: Evaluate at epoch 7315! +[2024-05-25 15:09:06,033] - INFO: Eval PSNR (max): 38.097 (7195) SSIM (max): 0.9612 (7315) +[2024-05-25 15:09:06,033] - INFO: Eval PSNR (current): 38.073 (7315) SSIM (current): 0.9612 (7315) +[2024-05-25 15:09:06,033] - INFO: Evaluation over. +[2024-05-25 15:09:24,504] - INFO: Epoch 7316/9999, Iter 365760: Loss = 0.014254999347031116, lr = [2.5e-05] +[2024-05-25 15:09:52,989] - INFO: Epoch 7316/9999, Iter 365780: Loss = 0.00974459107965231, lr = [2.5e-05] +[2024-05-25 15:10:22,485] - INFO: Epoch 7317/9999, Iter 365800: Loss = 0.013753347098827362, lr = [2.5e-05] +[2024-05-25 15:10:50,215] - INFO: Epoch 7317/9999, Iter 365820: Loss = 0.015578366816043854, lr = [2.5e-05] +[2024-05-25 15:11:18,063] - INFO: Epoch 7317/9999, Iter 365840: Loss = 0.01055880356580019, lr = [2.5e-05] +[2024-05-25 15:11:47,091] - INFO: Epoch 7318/9999, Iter 365860: Loss = 0.013219339773058891, lr = [2.5e-05] +[2024-05-25 15:12:14,519] - INFO: Epoch 7318/9999, Iter 365880: Loss = 0.010674555785953999, lr = [2.5e-05] +[2024-05-25 15:12:43,579] - INFO: Epoch 7319/9999, Iter 365900: Loss = 0.009206321090459824, lr = [2.5e-05] +[2024-05-25 15:13:10,703] - INFO: Epoch 7319/9999, Iter 365920: Loss = 0.015576168894767761, lr = [2.5e-05] +[2024-05-25 15:13:38,035] - INFO: Epoch 7319/9999, Iter 365940: Loss = 0.011782744899392128, lr = [2.5e-05] +[2024-05-25 15:14:08,227] - INFO: Epoch 7320/9999, Iter 365960: Loss = 0.013901972211897373, lr = [2.5e-05] +[2024-05-25 15:14:35,851] - INFO: Epoch 7320/9999, Iter 365980: Loss = 0.015427728183567524, lr = [2.5e-05] +[2024-05-25 15:15:01,781] - INFO: Evaluate at epoch 7320! +[2024-05-25 15:15:05,880] - INFO: Eval PSNR (max): 38.097 (7195) SSIM (max): 0.9612 (7315) +[2024-05-25 15:15:05,881] - INFO: Eval PSNR (current): 38.077 (7320) SSIM (current): 0.9611 (7320) +[2024-05-25 15:15:05,881] - INFO: Evaluation over. +[2024-05-25 15:15:10,425] - INFO: Epoch 7321/9999, Iter 366000: Loss = 0.008108233101665974, lr = [2.5e-05] +[2024-05-25 15:15:37,326] - INFO: Epoch 7321/9999, Iter 366020: Loss = 0.011608864180743694, lr = [2.5e-05] +[2024-05-25 15:16:05,211] - INFO: Epoch 7321/9999, Iter 366040: Loss = 0.013104666024446487, lr = [2.5e-05] +[2024-05-25 15:16:34,530] - INFO: Epoch 7322/9999, Iter 366060: Loss = 0.01364708412438631, lr = [2.5e-05] +[2024-05-25 15:17:02,741] - INFO: Epoch 7322/9999, Iter 366080: Loss = 0.008781703189015388, lr = [2.5e-05] +[2024-05-25 15:17:31,128] - INFO: Epoch 7323/9999, Iter 366100: Loss = 0.015080089680850506, lr = [2.5e-05] +[2024-05-25 15:17:58,981] - INFO: Epoch 7323/9999, Iter 366120: Loss = 0.01611451432108879, lr = [2.5e-05] +[2024-05-25 15:18:27,483] - INFO: Epoch 7323/9999, Iter 366140: Loss = 0.013390977866947651, lr = [2.5e-05] +[2024-05-25 15:18:56,580] - INFO: Epoch 7324/9999, Iter 366160: Loss = 0.009217716753482819, lr = [2.5e-05] +[2024-05-25 15:19:23,547] - INFO: Epoch 7324/9999, Iter 366180: Loss = 0.011029361747205257, lr = [2.5e-05] +[2024-05-25 15:19:52,823] - INFO: Epoch 7325/9999, Iter 366200: Loss = 0.009863263927400112, lr = [2.5e-05] +[2024-05-25 15:20:19,471] - INFO: Epoch 7325/9999, Iter 366220: Loss = 0.01660340093076229, lr = [2.5e-05] +[2024-05-25 15:20:46,871] - INFO: Epoch 7325/9999, Iter 366240: Loss = 0.010364479385316372, lr = [2.5e-05] +[2024-05-25 15:20:58,968] - INFO: Evaluate at epoch 7325! +[2024-05-25 15:21:05,090] - INFO: Eval PSNR (max): 38.099 (7325) SSIM (max): 0.9612 (7315) +[2024-05-25 15:21:05,091] - INFO: Eval PSNR (current): 38.099 (7325) SSIM (current): 0.9611 (7325) +[2024-05-25 15:21:05,091] - INFO: Evaluation over. +[2024-05-25 15:21:23,072] - INFO: Epoch 7326/9999, Iter 366260: Loss = 0.006653456948697567, lr = [2.5e-05] +[2024-05-25 15:21:50,219] - INFO: Epoch 7326/9999, Iter 366280: Loss = 0.012228189036250114, lr = [2.5e-05] +[2024-05-25 15:22:19,834] - INFO: Epoch 7327/9999, Iter 366300: Loss = 0.014809655025601387, lr = [2.5e-05] +[2024-05-25 15:22:48,017] - INFO: Epoch 7327/9999, Iter 366320: Loss = 0.013518220745027065, lr = [2.5e-05] +[2024-05-25 15:23:15,547] - INFO: Epoch 7327/9999, Iter 366340: Loss = 0.010180938988924026, lr = [2.5e-05] +[2024-05-25 15:23:45,271] - INFO: Epoch 7328/9999, Iter 366360: Loss = 0.008426077663898468, lr = [2.5e-05] +[2024-05-25 15:24:12,938] - INFO: Epoch 7328/9999, Iter 366380: Loss = 0.012534792535007, lr = [2.5e-05] +[2024-05-25 15:24:40,825] - INFO: Epoch 7329/9999, Iter 366400: Loss = 0.01036654133349657, lr = [2.5e-05] +[2024-05-25 15:25:08,631] - INFO: Epoch 7329/9999, Iter 366420: Loss = 0.01290240790694952, lr = [2.5e-05] +[2024-05-25 15:25:35,876] - INFO: Epoch 7329/9999, Iter 366440: Loss = 0.007829667069017887, lr = [2.5e-05] +[2024-05-25 15:26:04,744] - INFO: Epoch 7330/9999, Iter 366460: Loss = 0.013714848086237907, lr = [2.5e-05] +[2024-05-25 15:26:32,096] - INFO: Epoch 7330/9999, Iter 366480: Loss = 0.009347946383059025, lr = [2.5e-05] +[2024-05-25 15:26:58,271] - INFO: Evaluate at epoch 7330! +[2024-05-25 15:27:02,350] - INFO: Eval PSNR (max): 38.099 (7325) SSIM (max): 0.9612 (7315) +[2024-05-25 15:27:02,350] - INFO: Eval PSNR (current): 38.086 (7330) SSIM (current): 0.9611 (7330) +[2024-05-25 15:27:02,350] - INFO: Evaluation over. +[2024-05-25 15:27:07,089] - INFO: Epoch 7331/9999, Iter 366500: Loss = 0.011488053947687149, lr = [2.5e-05] +[2024-05-25 15:27:35,344] - INFO: Epoch 7331/9999, Iter 366520: Loss = 0.011621296405792236, lr = [2.5e-05] +[2024-05-25 15:28:03,519] - INFO: Epoch 7331/9999, Iter 366540: Loss = 0.011639963835477829, lr = [2.5e-05] +[2024-05-25 15:28:32,149] - INFO: Epoch 7332/9999, Iter 366560: Loss = 0.01063216757029295, lr = [2.5e-05] +[2024-05-25 15:28:59,720] - INFO: Epoch 7332/9999, Iter 366580: Loss = 0.012809919193387032, lr = [2.5e-05] +[2024-05-25 15:29:28,692] - INFO: Epoch 7333/9999, Iter 366600: Loss = 0.009228544309735298, lr = [2.5e-05] +[2024-05-25 15:29:56,024] - INFO: Epoch 7333/9999, Iter 366620: Loss = 0.018529031425714493, lr = [2.5e-05] +[2024-05-25 15:30:23,799] - INFO: Epoch 7333/9999, Iter 366640: Loss = 0.015895742923021317, lr = [2.5e-05] +[2024-05-25 15:30:51,991] - INFO: Epoch 7334/9999, Iter 366660: Loss = 0.018936483189463615, lr = [2.5e-05] +[2024-05-25 15:31:19,326] - INFO: Epoch 7334/9999, Iter 366680: Loss = 0.019181979820132256, lr = [2.5e-05] +[2024-05-25 15:31:48,516] - INFO: Epoch 7335/9999, Iter 366700: Loss = 0.012509037740528584, lr = [2.5e-05] +[2024-05-25 15:32:16,507] - INFO: Epoch 7335/9999, Iter 366720: Loss = 0.013799567706882954, lr = [2.5e-05] +[2024-05-25 15:32:43,127] - INFO: Epoch 7335/9999, Iter 366740: Loss = 0.012337501160800457, lr = [2.5e-05] +[2024-05-25 15:32:55,886] - INFO: Evaluate at epoch 7335! +[2024-05-25 15:32:59,955] - INFO: Eval PSNR (max): 38.099 (7325) SSIM (max): 0.9612 (7315) +[2024-05-25 15:32:59,955] - INFO: Eval PSNR (current): 38.079 (7335) SSIM (current): 0.9611 (7335) +[2024-05-25 15:32:59,955] - INFO: Evaluation over. +[2024-05-25 15:33:18,757] - INFO: Epoch 7336/9999, Iter 366760: Loss = 0.018569065257906914, lr = [2.5e-05] +[2024-05-25 15:33:46,664] - INFO: Epoch 7336/9999, Iter 366780: Loss = 0.01626659370958805, lr = [2.5e-05] +[2024-05-25 15:34:15,524] - INFO: Epoch 7337/9999, Iter 366800: Loss = 0.009022918529808521, lr = [2.5e-05] +[2024-05-25 15:34:43,520] - INFO: Epoch 7337/9999, Iter 366820: Loss = 0.015139668248593807, lr = [2.5e-05] +[2024-05-25 15:35:11,412] - INFO: Epoch 7337/9999, Iter 366840: Loss = 0.01563865691423416, lr = [2.5e-05] +[2024-05-25 15:35:40,371] - INFO: Epoch 7338/9999, Iter 366860: Loss = 0.009378609247505665, lr = [2.5e-05] +[2024-05-25 15:36:08,191] - INFO: Epoch 7338/9999, Iter 366880: Loss = 0.01021390501409769, lr = [2.5e-05] +[2024-05-25 15:36:36,296] - INFO: Epoch 7339/9999, Iter 366900: Loss = 0.012207943014800549, lr = [2.5e-05] +[2024-05-25 15:37:03,851] - INFO: Epoch 7339/9999, Iter 366920: Loss = 0.012393039651215076, lr = [2.5e-05] +[2024-05-25 15:37:31,519] - INFO: Epoch 7339/9999, Iter 366940: Loss = 0.012180940248072147, lr = [2.5e-05] +[2024-05-25 15:38:00,832] - INFO: Epoch 7340/9999, Iter 366960: Loss = 0.02077724039554596, lr = [2.5e-05] +[2024-05-25 15:38:29,133] - INFO: Epoch 7340/9999, Iter 366980: Loss = 0.012199293822050095, lr = [2.5e-05] +[2024-05-25 15:38:55,145] - INFO: Evaluate at epoch 7340! +[2024-05-25 15:38:59,268] - INFO: Eval PSNR (max): 38.099 (7325) SSIM (max): 0.9612 (7315) +[2024-05-25 15:38:59,268] - INFO: Eval PSNR (current): 38.052 (7340) SSIM (current): 0.9611 (7340) +[2024-05-25 15:38:59,269] - INFO: Evaluation over. +[2024-05-25 15:39:04,219] - INFO: Epoch 7341/9999, Iter 367000: Loss = 0.013493847101926804, lr = [2.5e-05] +[2024-05-25 15:39:32,068] - INFO: Epoch 7341/9999, Iter 367020: Loss = 0.014259224757552147, lr = [2.5e-05] +[2024-05-25 15:40:00,118] - INFO: Epoch 7341/9999, Iter 367040: Loss = 0.009725756011903286, lr = [2.5e-05] +[2024-05-25 15:40:29,238] - INFO: Epoch 7342/9999, Iter 367060: Loss = 0.011338310316205025, lr = [2.5e-05] +[2024-05-25 15:40:56,291] - INFO: Epoch 7342/9999, Iter 367080: Loss = 0.01642165146768093, lr = [2.5e-05] +[2024-05-25 15:41:24,971] - INFO: Epoch 7343/9999, Iter 367100: Loss = 0.014515832997858524, lr = [2.5e-05] +[2024-05-25 15:41:53,165] - INFO: Epoch 7343/9999, Iter 367120: Loss = 0.01057001668959856, lr = [2.5e-05] +[2024-05-25 15:42:20,187] - INFO: Epoch 7343/9999, Iter 367140: Loss = 0.017326541244983673, lr = [2.5e-05] +[2024-05-25 15:42:49,130] - INFO: Epoch 7344/9999, Iter 367160: Loss = 0.014666694216430187, lr = [2.5e-05] +[2024-05-25 15:43:17,131] - INFO: Epoch 7344/9999, Iter 367180: Loss = 0.01474444754421711, lr = [2.5e-05] +[2024-05-25 15:43:46,160] - INFO: Epoch 7345/9999, Iter 367200: Loss = 0.014909284189343452, lr = [2.5e-05] +[2024-05-25 15:44:14,819] - INFO: Epoch 7345/9999, Iter 367220: Loss = 0.014256525784730911, lr = [2.5e-05] +[2024-05-25 15:44:42,320] - INFO: Epoch 7345/9999, Iter 367240: Loss = 0.014093402773141861, lr = [2.5e-05] +[2024-05-25 15:44:54,529] - INFO: Evaluate at epoch 7345! +[2024-05-25 15:44:58,649] - INFO: Eval PSNR (max): 38.099 (7325) SSIM (max): 0.9612 (7315) +[2024-05-25 15:44:58,650] - INFO: Eval PSNR (current): 38.078 (7345) SSIM (current): 0.9611 (7345) +[2024-05-25 15:44:58,650] - INFO: Evaluation over. +[2024-05-25 15:45:17,539] - INFO: Epoch 7346/9999, Iter 367260: Loss = 0.012985843233764172, lr = [2.5e-05] +[2024-05-25 15:45:45,203] - INFO: Epoch 7346/9999, Iter 367280: Loss = 0.014795271679759026, lr = [2.5e-05] +[2024-05-25 15:46:14,020] - INFO: Epoch 7347/9999, Iter 367300: Loss = 0.011000772006809711, lr = [2.5e-05] +[2024-05-25 15:46:42,126] - INFO: Epoch 7347/9999, Iter 367320: Loss = 0.01014782302081585, lr = [2.5e-05] +[2024-05-25 15:47:09,323] - INFO: Epoch 7347/9999, Iter 367340: Loss = 0.01178355049341917, lr = [2.5e-05] +[2024-05-25 15:47:38,346] - INFO: Epoch 7348/9999, Iter 367360: Loss = 0.014263263903558254, lr = [2.5e-05] +[2024-05-25 15:48:06,613] - INFO: Epoch 7348/9999, Iter 367380: Loss = 0.01342320442199707, lr = [2.5e-05] +[2024-05-25 15:48:34,912] - INFO: Epoch 7349/9999, Iter 367400: Loss = 0.01098021399229765, lr = [2.5e-05] +[2024-05-25 15:49:02,736] - INFO: Epoch 7349/9999, Iter 367420: Loss = 0.013327277265489101, lr = [2.5e-05] +[2024-05-25 15:49:30,834] - INFO: Epoch 7349/9999, Iter 367440: Loss = 0.01455667708069086, lr = [2.5e-05] +[2024-05-25 15:50:00,509] - INFO: Epoch 7350/9999, Iter 367460: Loss = 0.008015630766749382, lr = [2.5e-05] +[2024-05-25 15:50:28,651] - INFO: Epoch 7350/9999, Iter 367480: Loss = 0.01420957874506712, lr = [2.5e-05] +[2024-05-25 15:50:54,161] - INFO: Evaluate at epoch 7350! +[2024-05-25 15:50:58,221] - INFO: Eval PSNR (max): 38.099 (7325) SSIM (max): 0.9612 (7315) +[2024-05-25 15:50:58,222] - INFO: Eval PSNR (current): 38.049 (7350) SSIM (current): 0.9610 (7350) +[2024-05-25 15:50:58,222] - INFO: Evaluation over. +[2024-05-25 15:51:03,166] - INFO: Epoch 7351/9999, Iter 367500: Loss = 0.01281675137579441, lr = [2.5e-05] +[2024-05-25 15:51:29,650] - INFO: Epoch 7351/9999, Iter 367520: Loss = 0.01033796090632677, lr = [2.5e-05] +[2024-05-25 15:51:58,223] - INFO: Epoch 7351/9999, Iter 367540: Loss = 0.01495952159166336, lr = [2.5e-05] +[2024-05-25 15:52:26,951] - INFO: Epoch 7352/9999, Iter 367560: Loss = 0.015051139518618584, lr = [2.5e-05] +[2024-05-25 15:52:53,579] - INFO: Epoch 7352/9999, Iter 367580: Loss = 0.013210407458245754, lr = [2.5e-05] +[2024-05-25 15:53:22,468] - INFO: Epoch 7353/9999, Iter 367600: Loss = 0.011439420282840729, lr = [2.5e-05] +[2024-05-25 15:53:50,085] - INFO: Epoch 7353/9999, Iter 367620: Loss = 0.009549803100526333, lr = [2.5e-05] +[2024-05-25 15:54:17,394] - INFO: Epoch 7353/9999, Iter 367640: Loss = 0.008708530105650425, lr = [2.5e-05] +[2024-05-25 15:54:46,245] - INFO: Epoch 7354/9999, Iter 367660: Loss = 0.013621557503938675, lr = [2.5e-05] +[2024-05-25 15:55:13,142] - INFO: Epoch 7354/9999, Iter 367680: Loss = 0.015040378086268902, lr = [2.5e-05] +[2024-05-25 15:55:41,786] - INFO: Epoch 7355/9999, Iter 367700: Loss = 0.01673768274486065, lr = [2.5e-05] +[2024-05-25 15:56:09,689] - INFO: Epoch 7355/9999, Iter 367720: Loss = 0.012516854330897331, lr = [2.5e-05] +[2024-05-25 15:56:35,919] - INFO: Epoch 7355/9999, Iter 367740: Loss = 0.005481412168592215, lr = [2.5e-05] +[2024-05-25 15:56:48,628] - INFO: Evaluate at epoch 7355! +[2024-05-25 15:56:52,681] - INFO: Eval PSNR (max): 38.099 (7325) SSIM (max): 0.9612 (7315) +[2024-05-25 15:56:52,682] - INFO: Eval PSNR (current): 38.051 (7355) SSIM (current): 0.9610 (7355) +[2024-05-25 15:56:52,682] - INFO: Evaluation over. +[2024-05-25 15:57:11,466] - INFO: Epoch 7356/9999, Iter 367760: Loss = 0.010232980363070965, lr = [2.5e-05] +[2024-05-25 15:57:39,697] - INFO: Epoch 7356/9999, Iter 367780: Loss = 0.012201088480651379, lr = [2.5e-05] +[2024-05-25 15:58:07,968] - INFO: Epoch 7357/9999, Iter 367800: Loss = 0.016072994098067284, lr = [2.5e-05] +[2024-05-25 15:58:34,687] - INFO: Epoch 7357/9999, Iter 367820: Loss = 0.013529909774661064, lr = [2.5e-05] +[2024-05-25 15:59:02,455] - INFO: Epoch 7357/9999, Iter 367840: Loss = 0.01426742784678936, lr = [2.5e-05] +[2024-05-25 15:59:31,883] - INFO: Epoch 7358/9999, Iter 367860: Loss = 0.015842046588659286, lr = [2.5e-05] +[2024-05-25 15:59:59,957] - INFO: Epoch 7358/9999, Iter 367880: Loss = 0.015127626247704029, lr = [2.5e-05] +[2024-05-25 16:00:28,323] - INFO: Epoch 7359/9999, Iter 367900: Loss = 0.011161045171320438, lr = [2.5e-05] +[2024-05-25 16:00:55,635] - INFO: Epoch 7359/9999, Iter 367920: Loss = 0.010377996601164341, lr = [2.5e-05] +[2024-05-25 16:01:23,015] - INFO: Epoch 7359/9999, Iter 367940: Loss = 0.0135436300188303, lr = [2.5e-05] +[2024-05-25 16:01:51,797] - INFO: Epoch 7360/9999, Iter 367960: Loss = 0.011342133395373821, lr = [2.5e-05] +[2024-05-25 16:02:19,495] - INFO: Epoch 7360/9999, Iter 367980: Loss = 0.013115552254021168, lr = [2.5e-05] +[2024-05-25 16:02:45,954] - INFO: Evaluate at epoch 7360! +[2024-05-25 16:02:49,994] - INFO: Eval PSNR (max): 38.099 (7325) SSIM (max): 0.9612 (7315) +[2024-05-25 16:02:49,995] - INFO: Eval PSNR (current): 38.089 (7360) SSIM (current): 0.9611 (7360) +[2024-05-25 16:02:49,995] - INFO: Evaluation over. +[2024-05-25 16:02:54,567] - INFO: Epoch 7361/9999, Iter 368000: Loss = 0.012990613467991352, lr = [2.5e-05] +[2024-05-25 16:03:22,271] - INFO: Epoch 7361/9999, Iter 368020: Loss = 0.01433077547699213, lr = [2.5e-05] +[2024-05-25 16:03:50,688] - INFO: Epoch 7361/9999, Iter 368040: Loss = 0.017492640763521194, lr = [2.5e-05] +[2024-05-25 16:04:19,985] - INFO: Epoch 7362/9999, Iter 368060: Loss = 0.009891674853861332, lr = [2.5e-05] +[2024-05-25 16:04:47,683] - INFO: Epoch 7362/9999, Iter 368080: Loss = 0.013813729397952557, lr = [2.5e-05] +[2024-05-25 16:05:17,139] - INFO: Epoch 7363/9999, Iter 368100: Loss = 0.008230899460613728, lr = [2.5e-05] +[2024-05-25 16:05:45,594] - INFO: Epoch 7363/9999, Iter 368120: Loss = 0.011937392875552177, lr = [2.5e-05] +[2024-05-25 16:06:13,448] - INFO: Epoch 7363/9999, Iter 368140: Loss = 0.016746886074543, lr = [2.5e-05] +[2024-05-25 16:06:42,555] - INFO: Epoch 7364/9999, Iter 368160: Loss = 0.0109283197671175, lr = [2.5e-05] +[2024-05-25 16:07:10,459] - INFO: Epoch 7364/9999, Iter 368180: Loss = 0.011650900356471539, lr = [2.5e-05] +[2024-05-25 16:07:39,976] - INFO: Epoch 7365/9999, Iter 368200: Loss = 0.014198167249560356, lr = [2.5e-05] +[2024-05-25 16:08:07,591] - INFO: Epoch 7365/9999, Iter 368220: Loss = 0.011785349808633327, lr = [2.5e-05] +[2024-05-25 16:08:34,383] - INFO: Epoch 7365/9999, Iter 368240: Loss = 0.009537010453641415, lr = [2.5e-05] +[2024-05-25 16:08:46,504] - INFO: Evaluate at epoch 7365! +[2024-05-25 16:08:50,538] - INFO: Eval PSNR (max): 38.099 (7325) SSIM (max): 0.9612 (7315) +[2024-05-25 16:08:50,538] - INFO: Eval PSNR (current): 38.087 (7365) SSIM (current): 0.9611 (7365) +[2024-05-25 16:08:50,538] - INFO: Evaluation over. +[2024-05-25 16:09:09,251] - INFO: Epoch 7366/9999, Iter 368260: Loss = 0.010138452053070068, lr = [2.5e-05] +[2024-05-25 16:09:36,691] - INFO: Epoch 7366/9999, Iter 368280: Loss = 0.011376947164535522, lr = [2.5e-05] +[2024-05-25 16:10:06,128] - INFO: Epoch 7367/9999, Iter 368300: Loss = 0.010533804073929787, lr = [2.5e-05] +[2024-05-25 16:10:33,643] - INFO: Epoch 7367/9999, Iter 368320: Loss = 0.013567549176514149, lr = [2.5e-05] +[2024-05-25 16:11:02,503] - INFO: Epoch 7367/9999, Iter 368340: Loss = 0.01502303872257471, lr = [2.5e-05] +[2024-05-25 16:11:30,832] - INFO: Epoch 7368/9999, Iter 368360: Loss = 0.013326400890946388, lr = [2.5e-05] +[2024-05-25 16:11:59,087] - INFO: Epoch 7368/9999, Iter 368380: Loss = 0.012541426345705986, lr = [2.5e-05] +[2024-05-25 16:12:27,927] - INFO: Epoch 7369/9999, Iter 368400: Loss = 0.013866443186998367, lr = [2.5e-05] +[2024-05-25 16:12:55,631] - INFO: Epoch 7369/9999, Iter 368420: Loss = 0.016661711037158966, lr = [2.5e-05] +[2024-05-25 16:13:23,036] - INFO: Epoch 7369/9999, Iter 368440: Loss = 0.01412530429661274, lr = [2.5e-05] +[2024-05-25 16:13:51,795] - INFO: Epoch 7370/9999, Iter 368460: Loss = 0.016798624768853188, lr = [2.5e-05] +[2024-05-25 16:14:18,606] - INFO: Epoch 7370/9999, Iter 368480: Loss = 0.017793139442801476, lr = [2.5e-05] +[2024-05-25 16:14:45,017] - INFO: Evaluate at epoch 7370! +[2024-05-25 16:14:49,076] - INFO: Eval PSNR (max): 38.099 (7325) SSIM (max): 0.9612 (7315) +[2024-05-25 16:14:49,077] - INFO: Eval PSNR (current): 38.081 (7370) SSIM (current): 0.9611 (7370) +[2024-05-25 16:14:49,077] - INFO: Evaluation over. +[2024-05-25 16:14:53,869] - INFO: Epoch 7371/9999, Iter 368500: Loss = 0.009207085706293583, lr = [2.5e-05] +[2024-05-25 16:15:20,891] - INFO: Epoch 7371/9999, Iter 368520: Loss = 0.011390415020287037, lr = [2.5e-05] +[2024-05-25 16:15:48,118] - INFO: Epoch 7371/9999, Iter 368540: Loss = 0.0049009788781404495, lr = [2.5e-05] +[2024-05-25 16:16:17,059] - INFO: Epoch 7372/9999, Iter 368560: Loss = 0.013790477067232132, lr = [2.5e-05] +[2024-05-25 16:16:44,334] - INFO: Epoch 7372/9999, Iter 368580: Loss = 0.014151246286928654, lr = [2.5e-05] +[2024-05-25 16:17:13,291] - INFO: Epoch 7373/9999, Iter 368600: Loss = 0.010203746147453785, lr = [2.5e-05] +[2024-05-25 16:17:41,390] - INFO: Epoch 7373/9999, Iter 368620: Loss = 0.009487510658800602, lr = [2.5e-05] +[2024-05-25 16:18:08,773] - INFO: Epoch 7373/9999, Iter 368640: Loss = 0.012239286676049232, lr = [2.5e-05] +[2024-05-25 16:18:38,220] - INFO: Epoch 7374/9999, Iter 368660: Loss = 0.00782916322350502, lr = [2.5e-05] +[2024-05-25 16:19:05,121] - INFO: Epoch 7374/9999, Iter 368680: Loss = 0.009404636919498444, lr = [2.5e-05] +[2024-05-25 16:19:34,993] - INFO: Epoch 7375/9999, Iter 368700: Loss = 0.023164881393313408, lr = [2.5e-05] +[2024-05-25 16:20:04,015] - INFO: Epoch 7375/9999, Iter 368720: Loss = 0.01335775014013052, lr = [2.5e-05] +[2024-05-25 16:20:32,159] - INFO: Epoch 7375/9999, Iter 368740: Loss = 0.012352102436125278, lr = [2.5e-05] +[2024-05-25 16:20:43,715] - INFO: Evaluate at epoch 7375! +[2024-05-25 16:20:47,748] - INFO: Eval PSNR (max): 38.099 (7325) SSIM (max): 0.9612 (7315) +[2024-05-25 16:20:47,748] - INFO: Eval PSNR (current): 38.062 (7375) SSIM (current): 0.9610 (7375) +[2024-05-25 16:20:47,749] - INFO: Evaluation over. +[2024-05-25 16:21:06,117] - INFO: Epoch 7376/9999, Iter 368760: Loss = 0.012067985720932484, lr = [2.5e-05] +[2024-05-25 16:21:33,356] - INFO: Epoch 7376/9999, Iter 368780: Loss = 0.013292842544615269, lr = [2.5e-05] +[2024-05-25 16:22:02,911] - INFO: Epoch 7377/9999, Iter 368800: Loss = 0.00888169463723898, lr = [2.5e-05] +[2024-05-25 16:22:31,711] - INFO: Epoch 7377/9999, Iter 368820: Loss = 0.012114522978663445, lr = [2.5e-05] +[2024-05-25 16:22:58,559] - INFO: Epoch 7377/9999, Iter 368840: Loss = 0.01733114756643772, lr = [2.5e-05] +[2024-05-25 16:23:28,094] - INFO: Epoch 7378/9999, Iter 368860: Loss = 0.013369150459766388, lr = [2.5e-05] +[2024-05-25 16:23:55,915] - INFO: Epoch 7378/9999, Iter 368880: Loss = 0.01373856421560049, lr = [2.5e-05] +[2024-05-25 16:24:25,080] - INFO: Epoch 7379/9999, Iter 368900: Loss = 0.01567482203245163, lr = [2.5e-05] +[2024-05-25 16:24:53,174] - INFO: Epoch 7379/9999, Iter 368920: Loss = 0.011599814519286156, lr = [2.5e-05] +[2024-05-25 16:25:21,807] - INFO: Epoch 7379/9999, Iter 368940: Loss = 0.01581333577632904, lr = [2.5e-05] +[2024-05-25 16:25:50,129] - INFO: Epoch 7380/9999, Iter 368960: Loss = 0.013098275288939476, lr = [2.5e-05] +[2024-05-25 16:26:17,586] - INFO: Epoch 7380/9999, Iter 368980: Loss = 0.01777063123881817, lr = [2.5e-05] +[2024-05-25 16:26:44,386] - INFO: Evaluate at epoch 7380! +[2024-05-25 16:26:48,519] - INFO: Eval PSNR (max): 38.099 (7325) SSIM (max): 0.9612 (7315) +[2024-05-25 16:26:48,519] - INFO: Eval PSNR (current): 38.081 (7380) SSIM (current): 0.9611 (7380) +[2024-05-25 16:26:48,519] - INFO: Evaluation over. +[2024-05-25 16:26:52,996] - INFO: Epoch 7381/9999, Iter 369000: Loss = 0.008613310754299164, lr = [2.5e-05] +[2024-05-25 16:27:20,810] - INFO: Epoch 7381/9999, Iter 369020: Loss = 0.01468433067202568, lr = [2.5e-05] +[2024-05-25 16:27:48,291] - INFO: Epoch 7381/9999, Iter 369040: Loss = 0.009409178979694843, lr = [2.5e-05] +[2024-05-25 16:28:17,080] - INFO: Epoch 7382/9999, Iter 369060: Loss = 0.00909521896392107, lr = [2.5e-05] +[2024-05-25 16:28:45,207] - INFO: Epoch 7382/9999, Iter 369080: Loss = 0.014031556434929371, lr = [2.5e-05] +[2024-05-25 16:29:14,360] - INFO: Epoch 7383/9999, Iter 369100: Loss = 0.014049872756004333, lr = [2.5e-05] +[2024-05-25 16:29:41,427] - INFO: Epoch 7383/9999, Iter 369120: Loss = 0.010292557999491692, lr = [2.5e-05] +[2024-05-25 16:30:08,908] - INFO: Epoch 7383/9999, Iter 369140: Loss = 0.011727710254490376, lr = [2.5e-05] +[2024-05-25 16:30:38,097] - INFO: Epoch 7384/9999, Iter 369160: Loss = 0.017023654654622078, lr = [2.5e-05] +[2024-05-25 16:31:06,451] - INFO: Epoch 7384/9999, Iter 369180: Loss = 0.009697496891021729, lr = [2.5e-05] +[2024-05-25 16:31:35,431] - INFO: Epoch 7385/9999, Iter 369200: Loss = 0.016387522220611572, lr = [2.5e-05] +[2024-05-25 16:32:03,700] - INFO: Epoch 7385/9999, Iter 369220: Loss = 0.016683680936694145, lr = [2.5e-05] +[2024-05-25 16:32:30,813] - INFO: Epoch 7385/9999, Iter 369240: Loss = 0.010289533995091915, lr = [2.5e-05] +[2024-05-25 16:32:43,176] - INFO: Evaluate at epoch 7385! +[2024-05-25 16:32:47,306] - INFO: Eval PSNR (max): 38.099 (7325) SSIM (max): 0.9612 (7315) +[2024-05-25 16:32:47,306] - INFO: Eval PSNR (current): 38.077 (7385) SSIM (current): 0.9611 (7385) +[2024-05-25 16:32:47,306] - INFO: Evaluation over. +[2024-05-25 16:33:05,872] - INFO: Epoch 7386/9999, Iter 369260: Loss = 0.010082620196044445, lr = [2.5e-05] +[2024-05-25 16:33:32,978] - INFO: Epoch 7386/9999, Iter 369280: Loss = 0.012457048520445824, lr = [2.5e-05] +[2024-05-25 16:34:02,279] - INFO: Epoch 7387/9999, Iter 369300: Loss = 0.015263316221535206, lr = [2.5e-05] +[2024-05-25 16:34:30,263] - INFO: Epoch 7387/9999, Iter 369320: Loss = 0.01499586645513773, lr = [2.5e-05] +[2024-05-25 16:34:57,275] - INFO: Epoch 7387/9999, Iter 369340: Loss = 0.017007550224661827, lr = [2.5e-05] +[2024-05-25 16:35:26,479] - INFO: Epoch 7388/9999, Iter 369360: Loss = 0.007134537678211927, lr = [2.5e-05] +[2024-05-25 16:35:55,544] - INFO: Epoch 7388/9999, Iter 369380: Loss = 0.010498189367353916, lr = [2.5e-05] +[2024-05-25 16:36:24,198] - INFO: Epoch 7389/9999, Iter 369400: Loss = 0.015150092542171478, lr = [2.5e-05] +[2024-05-25 16:36:52,736] - INFO: Epoch 7389/9999, Iter 369420: Loss = 0.009392056614160538, lr = [2.5e-05] +[2024-05-25 16:37:20,592] - INFO: Epoch 7389/9999, Iter 369440: Loss = 0.010967947542667389, lr = [2.5e-05] +[2024-05-25 16:37:49,304] - INFO: Epoch 7390/9999, Iter 369460: Loss = 0.014117446728050709, lr = [2.5e-05] +[2024-05-25 16:38:17,445] - INFO: Epoch 7390/9999, Iter 369480: Loss = 0.0076576825231313705, lr = [2.5e-05] +[2024-05-25 16:38:42,870] - INFO: Evaluate at epoch 7390! +[2024-05-25 16:38:46,999] - INFO: Eval PSNR (max): 38.099 (7325) SSIM (max): 0.9612 (7315) +[2024-05-25 16:38:46,999] - INFO: Eval PSNR (current): 38.076 (7390) SSIM (current): 0.9610 (7390) +[2024-05-25 16:38:46,999] - INFO: Evaluation over. +[2024-05-25 16:38:51,464] - INFO: Epoch 7391/9999, Iter 369500: Loss = 0.00994391180574894, lr = [2.5e-05] +[2024-05-25 16:39:18,843] - INFO: Epoch 7391/9999, Iter 369520: Loss = 0.01117025502026081, lr = [2.5e-05] +[2024-05-25 16:39:46,667] - INFO: Epoch 7391/9999, Iter 369540: Loss = 0.012524068355560303, lr = [2.5e-05] +[2024-05-25 16:40:16,011] - INFO: Epoch 7392/9999, Iter 369560: Loss = 0.013605771586298943, lr = [2.5e-05] +[2024-05-25 16:40:44,473] - INFO: Epoch 7392/9999, Iter 369580: Loss = 0.01975799910724163, lr = [2.5e-05] +[2024-05-25 16:41:13,439] - INFO: Epoch 7393/9999, Iter 369600: Loss = 0.009870791807770729, lr = [2.5e-05] +[2024-05-25 16:41:41,835] - INFO: Epoch 7393/9999, Iter 369620: Loss = 0.010244152508676052, lr = [2.5e-05] +[2024-05-25 16:42:09,535] - INFO: Epoch 7393/9999, Iter 369640: Loss = 0.013056940399110317, lr = [2.5e-05] +[2024-05-25 16:42:38,195] - INFO: Epoch 7394/9999, Iter 369660: Loss = 0.015137650072574615, lr = [2.5e-05] +[2024-05-25 16:43:06,168] - INFO: Epoch 7394/9999, Iter 369680: Loss = 0.017240216955542564, lr = [2.5e-05] +[2024-05-25 16:43:35,771] - INFO: Epoch 7395/9999, Iter 369700: Loss = 0.015021800994873047, lr = [2.5e-05] +[2024-05-25 16:44:04,170] - INFO: Epoch 7395/9999, Iter 369720: Loss = 0.011678607203066349, lr = [2.5e-05] +[2024-05-25 16:44:31,766] - INFO: Epoch 7395/9999, Iter 369740: Loss = 0.015967093408107758, lr = [2.5e-05] +[2024-05-25 16:44:44,360] - INFO: Evaluate at epoch 7395! +[2024-05-25 16:44:48,481] - INFO: Eval PSNR (max): 38.099 (7325) SSIM (max): 0.9612 (7315) +[2024-05-25 16:44:48,482] - INFO: Eval PSNR (current): 38.098 (7395) SSIM (current): 0.9611 (7395) +[2024-05-25 16:44:48,482] - INFO: Evaluation over. +[2024-05-25 16:45:07,198] - INFO: Epoch 7396/9999, Iter 369760: Loss = 0.016124358400702477, lr = [2.5e-05] +[2024-05-25 16:45:34,899] - INFO: Epoch 7396/9999, Iter 369780: Loss = 0.013353859074413776, lr = [2.5e-05] +[2024-05-25 16:46:04,292] - INFO: Epoch 7397/9999, Iter 369800: Loss = 0.013794277794659138, lr = [2.5e-05] +[2024-05-25 16:46:31,257] - INFO: Epoch 7397/9999, Iter 369820: Loss = 0.013802453875541687, lr = [2.5e-05] +[2024-05-25 16:46:59,236] - INFO: Epoch 7397/9999, Iter 369840: Loss = 0.01334401499480009, lr = [2.5e-05] +[2024-05-25 16:47:27,947] - INFO: Epoch 7398/9999, Iter 369860: Loss = 0.013403689488768578, lr = [2.5e-05] +[2024-05-25 16:47:55,223] - INFO: Epoch 7398/9999, Iter 369880: Loss = 0.010459821671247482, lr = [2.5e-05] +[2024-05-25 16:48:25,261] - INFO: Epoch 7399/9999, Iter 369900: Loss = 0.011525445617735386, lr = [2.5e-05] +[2024-05-25 16:48:53,064] - INFO: Epoch 7399/9999, Iter 369920: Loss = 0.01106054987758398, lr = [2.5e-05] +[2024-05-25 16:49:20,067] - INFO: Epoch 7399/9999, Iter 369940: Loss = 0.01606251858174801, lr = [2.5e-05] +[2024-05-25 16:49:49,059] - INFO: Epoch 7400/9999, Iter 369960: Loss = 0.008968655951321125, lr = [2.5e-05] +[2024-05-25 16:50:18,015] - INFO: Epoch 7400/9999, Iter 369980: Loss = 0.011890285648405552, lr = [2.5e-05] +[2024-05-25 16:50:44,260] - INFO: Evaluate at epoch 7400! +[2024-05-25 16:50:48,377] - INFO: Eval PSNR (max): 38.099 (7325) SSIM (max): 0.9612 (7315) +[2024-05-25 16:50:48,377] - INFO: Eval PSNR (current): 38.073 (7400) SSIM (current): 0.9611 (7400) +[2024-05-25 16:50:48,377] - INFO: Evaluation over. +[2024-05-25 16:50:53,049] - INFO: Epoch 7401/9999, Iter 370000: Loss = 0.012082655914127827, lr = [2.5e-05] +[2024-05-25 16:51:21,052] - INFO: Epoch 7401/9999, Iter 370020: Loss = 0.018613699823617935, lr = [2.5e-05] +[2024-05-25 16:51:49,090] - INFO: Epoch 7401/9999, Iter 370040: Loss = 0.012446111999452114, lr = [2.5e-05] +[2024-05-25 16:52:18,202] - INFO: Epoch 7402/9999, Iter 370060: Loss = 0.009666665457189083, lr = [2.5e-05] +[2024-05-25 16:52:45,070] - INFO: Epoch 7402/9999, Iter 370080: Loss = 0.01616615429520607, lr = [2.5e-05] +[2024-05-25 16:53:14,255] - INFO: Epoch 7403/9999, Iter 370100: Loss = 0.016923794522881508, lr = [2.5e-05] +[2024-05-25 16:53:41,810] - INFO: Epoch 7403/9999, Iter 370120: Loss = 0.011525304988026619, lr = [2.5e-05] +[2024-05-25 16:54:09,091] - INFO: Epoch 7403/9999, Iter 370140: Loss = 0.01440817303955555, lr = [2.5e-05] +[2024-05-25 16:54:38,760] - INFO: Epoch 7404/9999, Iter 370160: Loss = 0.008998407982289791, lr = [2.5e-05] +[2024-05-25 16:55:06,835] - INFO: Epoch 7404/9999, Iter 370180: Loss = 0.012786081992089748, lr = [2.5e-05] +[2024-05-25 16:55:36,339] - INFO: Epoch 7405/9999, Iter 370200: Loss = 0.011850301176309586, lr = [2.5e-05] +[2024-05-25 16:56:04,459] - INFO: Epoch 7405/9999, Iter 370220: Loss = 0.014505588449537754, lr = [2.5e-05] +[2024-05-25 16:56:32,167] - INFO: Epoch 7405/9999, Iter 370240: Loss = 0.012882895767688751, lr = [2.5e-05] +[2024-05-25 16:56:44,597] - INFO: Evaluate at epoch 7405! +[2024-05-25 16:56:48,717] - INFO: Eval PSNR (max): 38.099 (7325) SSIM (max): 0.9612 (7315) +[2024-05-25 16:56:48,718] - INFO: Eval PSNR (current): 38.092 (7405) SSIM (current): 0.9611 (7405) +[2024-05-25 16:56:48,718] - INFO: Evaluation over. +[2024-05-25 16:57:07,219] - INFO: Epoch 7406/9999, Iter 370260: Loss = 0.011900166980922222, lr = [2.5e-05] +[2024-05-25 16:57:35,139] - INFO: Epoch 7406/9999, Iter 370280: Loss = 0.013039973564445972, lr = [2.5e-05] +[2024-05-25 16:58:04,299] - INFO: Epoch 7407/9999, Iter 370300: Loss = 0.009518510662019253, lr = [2.5e-05] +[2024-05-25 16:58:32,387] - INFO: Epoch 7407/9999, Iter 370320: Loss = 0.007834249176084995, lr = [2.5e-05] +[2024-05-25 16:58:59,233] - INFO: Epoch 7407/9999, Iter 370340: Loss = 0.016246626153588295, lr = [2.5e-05] +[2024-05-25 16:59:28,139] - INFO: Epoch 7408/9999, Iter 370360: Loss = 0.007369584403932095, lr = [2.5e-05] +[2024-05-25 16:59:56,851] - INFO: Epoch 7408/9999, Iter 370380: Loss = 0.01570424810051918, lr = [2.5e-05] +[2024-05-25 17:00:25,927] - INFO: Epoch 7409/9999, Iter 370400: Loss = 0.011860792525112629, lr = [2.5e-05] +[2024-05-25 17:00:53,815] - INFO: Epoch 7409/9999, Iter 370420: Loss = 0.014361368492245674, lr = [2.5e-05] +[2024-05-25 17:01:20,838] - INFO: Epoch 7409/9999, Iter 370440: Loss = 0.011545727960765362, lr = [2.5e-05] +[2024-05-25 17:01:50,221] - INFO: Epoch 7410/9999, Iter 370460: Loss = 0.013630610890686512, lr = [2.5e-05] +[2024-05-25 17:02:19,038] - INFO: Epoch 7410/9999, Iter 370480: Loss = 0.015386663377285004, lr = [2.5e-05] +[2024-05-25 17:02:44,987] - INFO: Evaluate at epoch 7410! +[2024-05-25 17:02:49,114] - INFO: Eval PSNR (max): 38.099 (7325) SSIM (max): 0.9612 (7315) +[2024-05-25 17:02:49,114] - INFO: Eval PSNR (current): 38.063 (7410) SSIM (current): 0.9610 (7410) +[2024-05-25 17:02:49,114] - INFO: Evaluation over. +[2024-05-25 17:02:53,726] - INFO: Epoch 7411/9999, Iter 370500: Loss = 0.015626665204763412, lr = [2.5e-05] +[2024-05-25 17:03:20,907] - INFO: Epoch 7411/9999, Iter 370520: Loss = 0.01943395286798477, lr = [2.5e-05] +[2024-05-25 17:03:47,845] - INFO: Epoch 7411/9999, Iter 370540: Loss = 0.014695271849632263, lr = [2.5e-05] +[2024-05-25 17:04:17,300] - INFO: Epoch 7412/9999, Iter 370560: Loss = 0.013327113352715969, lr = [2.5e-05] +[2024-05-25 17:04:44,569] - INFO: Epoch 7412/9999, Iter 370580: Loss = 0.013160866685211658, lr = [2.5e-05] +[2024-05-25 17:05:13,059] - INFO: Epoch 7413/9999, Iter 370600: Loss = 0.009833240881562233, lr = [2.5e-05] +[2024-05-25 17:05:41,070] - INFO: Epoch 7413/9999, Iter 370620: Loss = 0.011618565768003464, lr = [2.5e-05] +[2024-05-25 17:06:08,027] - INFO: Epoch 7413/9999, Iter 370640: Loss = 0.008276525884866714, lr = [2.5e-05] +[2024-05-25 17:06:37,219] - INFO: Epoch 7414/9999, Iter 370660: Loss = 0.009928456507623196, lr = [2.5e-05] +[2024-05-25 17:07:05,397] - INFO: Epoch 7414/9999, Iter 370680: Loss = 0.014169256202876568, lr = [2.5e-05] +[2024-05-25 17:07:34,531] - INFO: Epoch 7415/9999, Iter 370700: Loss = 0.017233897000551224, lr = [2.5e-05] +[2024-05-25 17:08:01,155] - INFO: Epoch 7415/9999, Iter 370720: Loss = 0.01071226503700018, lr = [2.5e-05] +[2024-05-25 17:08:28,687] - INFO: Epoch 7415/9999, Iter 370740: Loss = 0.011616331525146961, lr = [2.5e-05] +[2024-05-25 17:08:41,004] - INFO: Evaluate at epoch 7415! +[2024-05-25 17:08:45,124] - INFO: Eval PSNR (max): 38.099 (7325) SSIM (max): 0.9612 (7315) +[2024-05-25 17:08:45,125] - INFO: Eval PSNR (current): 38.065 (7415) SSIM (current): 0.9610 (7415) +[2024-05-25 17:08:45,125] - INFO: Evaluation over. +[2024-05-25 17:09:04,087] - INFO: Epoch 7416/9999, Iter 370760: Loss = 0.014951531775295734, lr = [2.5e-05] +[2024-05-25 17:09:31,937] - INFO: Epoch 7416/9999, Iter 370780: Loss = 0.010959715582430363, lr = [2.5e-05] +[2024-05-25 17:10:01,392] - INFO: Epoch 7417/9999, Iter 370800: Loss = 0.009360664524137974, lr = [2.5e-05] +[2024-05-25 17:10:28,953] - INFO: Epoch 7417/9999, Iter 370820: Loss = 0.013942578807473183, lr = [2.5e-05] +[2024-05-25 17:10:57,333] - INFO: Epoch 7417/9999, Iter 370840: Loss = 0.009566519409418106, lr = [2.5e-05] +[2024-05-25 17:11:26,691] - INFO: Epoch 7418/9999, Iter 370860: Loss = 0.012981957755982876, lr = [2.5e-05] +[2024-05-25 17:11:53,588] - INFO: Epoch 7418/9999, Iter 370880: Loss = 0.011223631910979748, lr = [2.5e-05] +[2024-05-25 17:12:22,688] - INFO: Epoch 7419/9999, Iter 370900: Loss = 0.013249784708023071, lr = [2.5e-05] +[2024-05-25 17:12:50,027] - INFO: Epoch 7419/9999, Iter 370920: Loss = 0.008764492347836494, lr = [2.5e-05] +[2024-05-25 17:13:18,638] - INFO: Epoch 7419/9999, Iter 370940: Loss = 0.01893269456923008, lr = [2.5e-05] +[2024-05-25 17:13:47,687] - INFO: Epoch 7420/9999, Iter 370960: Loss = 0.0072595831006765366, lr = [2.5e-05] +[2024-05-25 17:14:15,683] - INFO: Epoch 7420/9999, Iter 370980: Loss = 0.00818643718957901, lr = [2.5e-05] +[2024-05-25 17:14:41,944] - INFO: Evaluate at epoch 7420! +[2024-05-25 17:14:46,071] - INFO: Eval PSNR (max): 38.099 (7325) SSIM (max): 0.9612 (7315) +[2024-05-25 17:14:46,072] - INFO: Eval PSNR (current): 38.064 (7420) SSIM (current): 0.9611 (7420) +[2024-05-25 17:14:46,072] - INFO: Evaluation over. +[2024-05-25 17:14:50,753] - INFO: Epoch 7421/9999, Iter 371000: Loss = 0.014961529523134232, lr = [2.5e-05] +[2024-05-25 17:15:17,737] - INFO: Epoch 7421/9999, Iter 371020: Loss = 0.015899881720542908, lr = [2.5e-05] +[2024-05-25 17:15:45,947] - INFO: Epoch 7421/9999, Iter 371040: Loss = 0.014182208105921745, lr = [2.5e-05] +[2024-05-25 17:16:15,595] - INFO: Epoch 7422/9999, Iter 371060: Loss = 0.012952834367752075, lr = [2.5e-05] +[2024-05-25 17:16:42,891] - INFO: Epoch 7422/9999, Iter 371080: Loss = 0.01246924139559269, lr = [2.5e-05] +[2024-05-25 17:17:12,038] - INFO: Epoch 7423/9999, Iter 371100: Loss = 0.008978604339063168, lr = [2.5e-05] +[2024-05-25 17:17:40,135] - INFO: Epoch 7423/9999, Iter 371120: Loss = 0.013728706166148186, lr = [2.5e-05] +[2024-05-25 17:18:08,104] - INFO: Epoch 7423/9999, Iter 371140: Loss = 0.015090951696038246, lr = [2.5e-05] +[2024-05-25 17:18:36,971] - INFO: Epoch 7424/9999, Iter 371160: Loss = 0.015395738184452057, lr = [2.5e-05] +[2024-05-25 17:19:04,241] - INFO: Epoch 7424/9999, Iter 371180: Loss = 0.016081098467111588, lr = [2.5e-05] +[2024-05-25 17:19:33,101] - INFO: Epoch 7425/9999, Iter 371200: Loss = 0.012272555381059647, lr = [2.5e-05] +[2024-05-25 17:20:00,129] - INFO: Epoch 7425/9999, Iter 371220: Loss = 0.018869474530220032, lr = [2.5e-05] +[2024-05-25 17:20:27,468] - INFO: Epoch 7425/9999, Iter 371240: Loss = 0.011036033742129803, lr = [2.5e-05] +[2024-05-25 17:20:40,207] - INFO: Evaluate at epoch 7425! +[2024-05-25 17:20:44,333] - INFO: Eval PSNR (max): 38.099 (7325) SSIM (max): 0.9612 (7315) +[2024-05-25 17:20:44,333] - INFO: Eval PSNR (current): 38.079 (7425) SSIM (current): 0.9611 (7425) +[2024-05-25 17:20:44,333] - INFO: Evaluation over. +[2024-05-25 17:21:03,211] - INFO: Epoch 7426/9999, Iter 371260: Loss = 0.015769625082612038, lr = [2.5e-05] +[2024-05-25 17:21:31,059] - INFO: Epoch 7426/9999, Iter 371280: Loss = 0.011274851858615875, lr = [2.5e-05] +[2024-05-25 17:22:00,230] - INFO: Epoch 7427/9999, Iter 371300: Loss = 0.012444043532013893, lr = [2.5e-05] +[2024-05-25 17:22:27,793] - INFO: Epoch 7427/9999, Iter 371320: Loss = 0.013385450467467308, lr = [2.5e-05] +[2024-05-25 17:22:56,467] - INFO: Epoch 7427/9999, Iter 371340: Loss = 0.01261460967361927, lr = [2.5e-05] +[2024-05-25 17:23:25,723] - INFO: Epoch 7428/9999, Iter 371360: Loss = 0.009798478335142136, lr = [2.5e-05] +[2024-05-25 17:23:53,931] - INFO: Epoch 7428/9999, Iter 371380: Loss = 0.019623572006821632, lr = [2.5e-05] +[2024-05-25 17:24:23,476] - INFO: Epoch 7429/9999, Iter 371400: Loss = 0.01861731894314289, lr = [2.5e-05] +[2024-05-25 17:24:51,843] - INFO: Epoch 7429/9999, Iter 371420: Loss = 0.01434263028204441, lr = [2.5e-05] +[2024-05-25 17:25:20,135] - INFO: Epoch 7429/9999, Iter 371440: Loss = 0.00931215938180685, lr = [2.5e-05] +[2024-05-25 17:25:48,509] - INFO: Epoch 7430/9999, Iter 371460: Loss = 0.01211567409336567, lr = [2.5e-05] +[2024-05-25 17:26:15,847] - INFO: Epoch 7430/9999, Iter 371480: Loss = 0.00969007145613432, lr = [2.5e-05] +[2024-05-25 17:26:42,735] - INFO: Evaluate at epoch 7430! +[2024-05-25 17:26:46,855] - INFO: Eval PSNR (max): 38.099 (7325) SSIM (max): 0.9612 (7315) +[2024-05-25 17:26:46,855] - INFO: Eval PSNR (current): 38.081 (7430) SSIM (current): 0.9611 (7430) +[2024-05-25 17:26:46,855] - INFO: Evaluation over. +[2024-05-25 17:26:51,696] - INFO: Epoch 7431/9999, Iter 371500: Loss = 0.015453113242983818, lr = [2.5e-05] +[2024-05-25 17:27:19,939] - INFO: Epoch 7431/9999, Iter 371520: Loss = 0.013139716349542141, lr = [2.5e-05] +[2024-05-25 17:27:46,169] - INFO: Epoch 7431/9999, Iter 371540: Loss = 0.013026021420955658, lr = [2.5e-05] +[2024-05-25 17:28:15,303] - INFO: Epoch 7432/9999, Iter 371560: Loss = 0.01569945551455021, lr = [2.5e-05] +[2024-05-25 17:28:43,002] - INFO: Epoch 7432/9999, Iter 371580: Loss = 0.013795976527035236, lr = [2.5e-05] +[2024-05-25 17:29:12,267] - INFO: Epoch 7433/9999, Iter 371600: Loss = 0.011067960411310196, lr = [2.5e-05] +[2024-05-25 17:29:40,543] - INFO: Epoch 7433/9999, Iter 371620: Loss = 0.008067945949733257, lr = [2.5e-05] +[2024-05-25 17:30:09,110] - INFO: Epoch 7433/9999, Iter 371640: Loss = 0.015272503718733788, lr = [2.5e-05] +[2024-05-25 17:30:37,864] - INFO: Epoch 7434/9999, Iter 371660: Loss = 0.016371246427297592, lr = [2.5e-05] +[2024-05-25 17:31:06,117] - INFO: Epoch 7434/9999, Iter 371680: Loss = 0.010369316674768925, lr = [2.5e-05] +[2024-05-25 17:31:35,583] - INFO: Epoch 7435/9999, Iter 371700: Loss = 0.01385711319744587, lr = [2.5e-05] +[2024-05-25 17:32:04,040] - INFO: Epoch 7435/9999, Iter 371720: Loss = 0.016333922743797302, lr = [2.5e-05] +[2024-05-25 17:32:31,524] - INFO: Epoch 7435/9999, Iter 371740: Loss = 0.01143562886863947, lr = [2.5e-05] +[2024-05-25 17:32:43,819] - INFO: Evaluate at epoch 7435! +[2024-05-25 17:32:47,880] - INFO: Eval PSNR (max): 38.099 (7325) SSIM (max): 0.9612 (7315) +[2024-05-25 17:32:47,880] - INFO: Eval PSNR (current): 38.078 (7435) SSIM (current): 0.9611 (7435) +[2024-05-25 17:32:47,880] - INFO: Evaluation over. +[2024-05-25 17:33:06,515] - INFO: Epoch 7436/9999, Iter 371760: Loss = 0.011970187537372112, lr = [2.5e-05] +[2024-05-25 17:33:34,655] - INFO: Epoch 7436/9999, Iter 371780: Loss = 0.011777859181165695, lr = [2.5e-05] +[2024-05-25 17:34:03,718] - INFO: Epoch 7437/9999, Iter 371800: Loss = 0.013966337777674198, lr = [2.5e-05] +[2024-05-25 17:34:31,115] - INFO: Epoch 7437/9999, Iter 371820: Loss = 0.015465003438293934, lr = [2.5e-05] +[2024-05-25 17:34:57,871] - INFO: Epoch 7437/9999, Iter 371840: Loss = 0.013508794829249382, lr = [2.5e-05] +[2024-05-25 17:35:27,913] - INFO: Epoch 7438/9999, Iter 371860: Loss = 0.01790967956185341, lr = [2.5e-05] +[2024-05-25 17:35:56,147] - INFO: Epoch 7438/9999, Iter 371880: Loss = 0.012188523076474667, lr = [2.5e-05] +[2024-05-25 17:36:24,879] - INFO: Epoch 7439/9999, Iter 371900: Loss = 0.018277259543538094, lr = [2.5e-05] +[2024-05-25 17:36:51,813] - INFO: Epoch 7439/9999, Iter 371920: Loss = 0.00947506818920374, lr = [2.5e-05] +[2024-05-25 17:37:19,066] - INFO: Epoch 7439/9999, Iter 371940: Loss = 0.0155216408893466, lr = [2.5e-05] +[2024-05-25 17:37:49,228] - INFO: Epoch 7440/9999, Iter 371960: Loss = 0.015951605513691902, lr = [2.5e-05] +[2024-05-25 17:38:16,808] - INFO: Epoch 7440/9999, Iter 371980: Loss = 0.01634504832327366, lr = [2.5e-05] +[2024-05-25 17:38:42,830] - INFO: Evaluate at epoch 7440! +[2024-05-25 17:38:46,935] - INFO: Eval PSNR (max): 38.099 (7325) SSIM (max): 0.9612 (7315) +[2024-05-25 17:38:46,935] - INFO: Eval PSNR (current): 38.081 (7440) SSIM (current): 0.9610 (7440) +[2024-05-25 17:38:46,935] - INFO: Evaluation over. +[2024-05-25 17:38:51,501] - INFO: Epoch 7441/9999, Iter 372000: Loss = 0.003918596543371677, lr = [2.5e-05] +[2024-05-25 17:39:18,497] - INFO: Epoch 7441/9999, Iter 372020: Loss = 0.011376709677278996, lr = [2.5e-05] +[2024-05-25 17:39:45,588] - INFO: Epoch 7441/9999, Iter 372040: Loss = 0.01052769273519516, lr = [2.5e-05] +[2024-05-25 17:40:14,763] - INFO: Epoch 7442/9999, Iter 372060: Loss = 0.009878258220851421, lr = [2.5e-05] +[2024-05-25 17:40:43,175] - INFO: Epoch 7442/9999, Iter 372080: Loss = 0.017672745510935783, lr = [2.5e-05] +[2024-05-25 17:41:12,355] - INFO: Epoch 7443/9999, Iter 372100: Loss = 0.017829515039920807, lr = [2.5e-05] +[2024-05-25 17:41:40,511] - INFO: Epoch 7443/9999, Iter 372120: Loss = 0.014010114595293999, lr = [2.5e-05] +[2024-05-25 17:42:09,070] - INFO: Epoch 7443/9999, Iter 372140: Loss = 0.014367656782269478, lr = [2.5e-05] +[2024-05-25 17:42:37,359] - INFO: Epoch 7444/9999, Iter 372160: Loss = 0.01357282418757677, lr = [2.5e-05] +[2024-05-25 17:43:05,339] - INFO: Epoch 7444/9999, Iter 372180: Loss = 0.011610078625380993, lr = [2.5e-05] +[2024-05-25 17:43:34,255] - INFO: Epoch 7445/9999, Iter 372200: Loss = 0.008379450999200344, lr = [2.5e-05] +[2024-05-25 17:44:01,880] - INFO: Epoch 7445/9999, Iter 372220: Loss = 0.015954969450831413, lr = [2.5e-05] +[2024-05-25 17:44:29,907] - INFO: Epoch 7445/9999, Iter 372240: Loss = 0.01775064505636692, lr = [2.5e-05] +[2024-05-25 17:44:41,625] - INFO: Evaluate at epoch 7445! +[2024-05-25 17:44:45,726] - INFO: Eval PSNR (max): 38.099 (7325) SSIM (max): 0.9612 (7315) +[2024-05-25 17:44:45,726] - INFO: Eval PSNR (current): 38.092 (7445) SSIM (current): 0.9611 (7445) +[2024-05-25 17:44:45,726] - INFO: Evaluation over. +[2024-05-25 17:45:04,256] - INFO: Epoch 7446/9999, Iter 372260: Loss = 0.014075295068323612, lr = [2.5e-05] +[2024-05-25 17:45:32,301] - INFO: Epoch 7446/9999, Iter 372280: Loss = 0.01373291201889515, lr = [2.5e-05] +[2024-05-25 17:46:00,813] - INFO: Epoch 7447/9999, Iter 372300: Loss = 0.013242162764072418, lr = [2.5e-05] +[2024-05-25 17:46:29,749] - INFO: Epoch 7447/9999, Iter 372320: Loss = 0.016364790499210358, lr = [2.5e-05] +[2024-05-25 17:46:56,627] - INFO: Epoch 7447/9999, Iter 372340: Loss = 0.01715269684791565, lr = [2.5e-05] +[2024-05-25 17:47:25,627] - INFO: Epoch 7448/9999, Iter 372360: Loss = 0.013959149830043316, lr = [2.5e-05] +[2024-05-25 17:47:52,766] - INFO: Epoch 7448/9999, Iter 372380: Loss = 0.00996911060065031, lr = [2.5e-05] +[2024-05-25 17:48:21,988] - INFO: Epoch 7449/9999, Iter 372400: Loss = 0.013948176056146622, lr = [2.5e-05] +[2024-05-25 17:48:50,162] - INFO: Epoch 7449/9999, Iter 372420: Loss = 0.018370000645518303, lr = [2.5e-05] +[2024-05-25 17:49:18,080] - INFO: Epoch 7449/9999, Iter 372440: Loss = 0.012248448096215725, lr = [2.5e-05] +[2024-05-25 17:49:47,508] - INFO: Epoch 7450/9999, Iter 372460: Loss = 0.01346397865563631, lr = [2.5e-05] +[2024-05-25 17:50:15,830] - INFO: Epoch 7450/9999, Iter 372480: Loss = 0.009835689328610897, lr = [2.5e-05] +[2024-05-25 17:50:41,890] - INFO: Evaluate at epoch 7450! +[2024-05-25 17:50:45,992] - INFO: Eval PSNR (max): 38.099 (7325) SSIM (max): 0.9612 (7315) +[2024-05-25 17:50:45,992] - INFO: Eval PSNR (current): 38.075 (7450) SSIM (current): 0.9611 (7450) +[2024-05-25 17:50:45,992] - INFO: Evaluation over. +[2024-05-25 17:50:50,779] - INFO: Epoch 7451/9999, Iter 372500: Loss = 0.009775947779417038, lr = [2.5e-05] +[2024-05-25 17:51:18,553] - INFO: Epoch 7451/9999, Iter 372520: Loss = 0.01386523712426424, lr = [2.5e-05] +[2024-05-25 17:51:45,534] - INFO: Epoch 7451/9999, Iter 372540: Loss = 0.008336625061929226, lr = [2.5e-05] +[2024-05-25 17:52:14,603] - INFO: Epoch 7452/9999, Iter 372560: Loss = 0.008314970880746841, lr = [2.5e-05] +[2024-05-25 17:52:42,583] - INFO: Epoch 7452/9999, Iter 372580: Loss = 0.01357109472155571, lr = [2.5e-05] +[2024-05-25 17:53:11,867] - INFO: Epoch 7453/9999, Iter 372600: Loss = 0.012972621247172356, lr = [2.5e-05] +[2024-05-25 17:53:39,255] - INFO: Epoch 7453/9999, Iter 372620: Loss = 0.012331712990999222, lr = [2.5e-05] +[2024-05-25 17:54:08,004] - INFO: Epoch 7453/9999, Iter 372640: Loss = 0.01132085733115673, lr = [2.5e-05] +[2024-05-25 17:54:36,766] - INFO: Epoch 7454/9999, Iter 372660: Loss = 0.01740526221692562, lr = [2.5e-05] +[2024-05-25 17:55:05,103] - INFO: Epoch 7454/9999, Iter 372680: Loss = 0.009067513048648834, lr = [2.5e-05] +[2024-05-25 17:55:33,707] - INFO: Epoch 7455/9999, Iter 372700: Loss = 0.013473442755639553, lr = [2.5e-05] +[2024-05-25 17:56:01,578] - INFO: Epoch 7455/9999, Iter 372720: Loss = 0.008304893039166927, lr = [2.5e-05] +[2024-05-25 17:56:30,028] - INFO: Epoch 7455/9999, Iter 372740: Loss = 0.01090636570006609, lr = [2.5e-05] +[2024-05-25 17:56:42,018] - INFO: Evaluate at epoch 7455! +[2024-05-25 17:56:46,120] - INFO: Eval PSNR (max): 38.099 (7325) SSIM (max): 0.9612 (7315) +[2024-05-25 17:56:46,120] - INFO: Eval PSNR (current): 38.076 (7455) SSIM (current): 0.9611 (7455) +[2024-05-25 17:56:46,120] - INFO: Evaluation over. +[2024-05-25 17:57:04,407] - INFO: Epoch 7456/9999, Iter 372760: Loss = 0.016377905383706093, lr = [2.5e-05] +[2024-05-25 17:57:31,587] - INFO: Epoch 7456/9999, Iter 372780: Loss = 0.010973017662763596, lr = [2.5e-05] +[2024-05-25 17:58:00,364] - INFO: Epoch 7457/9999, Iter 372800: Loss = 0.017354365438222885, lr = [2.5e-05] +[2024-05-25 17:58:27,989] - INFO: Epoch 7457/9999, Iter 372820: Loss = 0.0158748347312212, lr = [2.5e-05] +[2024-05-25 17:58:56,852] - INFO: Epoch 7457/9999, Iter 372840: Loss = 0.011822320520877838, lr = [2.5e-05] +[2024-05-25 17:59:25,935] - INFO: Epoch 7458/9999, Iter 372860: Loss = 0.017273511737585068, lr = [2.5e-05] +[2024-05-25 17:59:53,550] - INFO: Epoch 7458/9999, Iter 372880: Loss = 0.012104544788599014, lr = [2.5e-05] +[2024-05-25 18:00:22,064] - INFO: Epoch 7459/9999, Iter 372900: Loss = 0.010604827664792538, lr = [2.5e-05] +[2024-05-25 18:00:49,315] - INFO: Epoch 7459/9999, Iter 372920: Loss = 0.009324864484369755, lr = [2.5e-05] +[2024-05-25 18:01:16,830] - INFO: Epoch 7459/9999, Iter 372940: Loss = 0.009280568920075893, lr = [2.5e-05] +[2024-05-25 18:01:45,905] - INFO: Epoch 7460/9999, Iter 372960: Loss = 0.009402184747159481, lr = [2.5e-05] +[2024-05-25 18:02:13,901] - INFO: Epoch 7460/9999, Iter 372980: Loss = 0.012406719848513603, lr = [2.5e-05] +[2024-05-25 18:02:39,734] - INFO: Evaluate at epoch 7460! +[2024-05-25 18:02:43,839] - INFO: Eval PSNR (max): 38.099 (7325) SSIM (max): 0.9612 (7315) +[2024-05-25 18:02:43,839] - INFO: Eval PSNR (current): 38.083 (7460) SSIM (current): 0.9611 (7460) +[2024-05-25 18:02:43,839] - INFO: Evaluation over. +[2024-05-25 18:02:48,323] - INFO: Epoch 7461/9999, Iter 373000: Loss = 0.009852241724729538, lr = [2.5e-05] +[2024-05-25 18:03:16,112] - INFO: Epoch 7461/9999, Iter 373020: Loss = 0.013085024431347847, lr = [2.5e-05] +[2024-05-25 18:03:44,435] - INFO: Epoch 7461/9999, Iter 373040: Loss = 0.006815626285970211, lr = [2.5e-05] +[2024-05-25 18:04:13,451] - INFO: Epoch 7462/9999, Iter 373060: Loss = 0.013976005837321281, lr = [2.5e-05] +[2024-05-25 18:04:41,466] - INFO: Epoch 7462/9999, Iter 373080: Loss = 0.01223956048488617, lr = [2.5e-05] +[2024-05-25 18:05:10,592] - INFO: Epoch 7463/9999, Iter 373100: Loss = 0.016795936971902847, lr = [2.5e-05] +[2024-05-25 18:05:38,852] - INFO: Epoch 7463/9999, Iter 373120: Loss = 0.00901185441762209, lr = [2.5e-05] +[2024-05-25 18:06:07,188] - INFO: Epoch 7463/9999, Iter 373140: Loss = 0.011127647943794727, lr = [2.5e-05] +[2024-05-25 18:06:35,431] - INFO: Epoch 7464/9999, Iter 373160: Loss = 0.013468210585415363, lr = [2.5e-05] +[2024-05-25 18:07:03,123] - INFO: Epoch 7464/9999, Iter 373180: Loss = 0.01381149422377348, lr = [2.5e-05] +[2024-05-25 18:07:31,793] - INFO: Epoch 7465/9999, Iter 373200: Loss = 0.009453038685023785, lr = [2.5e-05] +[2024-05-25 18:07:59,652] - INFO: Epoch 7465/9999, Iter 373220: Loss = 0.013294920325279236, lr = [2.5e-05] +[2024-05-25 18:08:27,591] - INFO: Epoch 7465/9999, Iter 373240: Loss = 0.020510802045464516, lr = [2.5e-05] +[2024-05-25 18:08:40,052] - INFO: Evaluate at epoch 7465! +[2024-05-25 18:08:44,154] - INFO: Eval PSNR (max): 38.099 (7325) SSIM (max): 0.9612 (7315) +[2024-05-25 18:08:44,154] - INFO: Eval PSNR (current): 38.069 (7465) SSIM (current): 0.9611 (7465) +[2024-05-25 18:08:44,154] - INFO: Evaluation over. +[2024-05-25 18:09:02,679] - INFO: Epoch 7466/9999, Iter 373260: Loss = 0.012502416968345642, lr = [2.5e-05] +[2024-05-25 18:09:30,280] - INFO: Epoch 7466/9999, Iter 373280: Loss = 0.012130816467106342, lr = [2.5e-05] +[2024-05-25 18:09:59,304] - INFO: Epoch 7467/9999, Iter 373300: Loss = 0.014447495341300964, lr = [2.5e-05] +[2024-05-25 18:10:27,640] - INFO: Epoch 7467/9999, Iter 373320: Loss = 0.010442161932587624, lr = [2.5e-05] +[2024-05-25 18:10:55,819] - INFO: Epoch 7467/9999, Iter 373340: Loss = 0.01388932578265667, lr = [2.5e-05] +[2024-05-25 18:11:24,671] - INFO: Epoch 7468/9999, Iter 373360: Loss = 0.016250750049948692, lr = [2.5e-05] +[2024-05-25 18:11:51,882] - INFO: Epoch 7468/9999, Iter 373380: Loss = 0.009699190966784954, lr = [2.5e-05] +[2024-05-25 18:12:21,128] - INFO: Epoch 7469/9999, Iter 373400: Loss = 0.014911584556102753, lr = [2.5e-05] +[2024-05-25 18:12:49,200] - INFO: Epoch 7469/9999, Iter 373420: Loss = 0.011393118649721146, lr = [2.5e-05] +[2024-05-25 18:13:17,296] - INFO: Epoch 7469/9999, Iter 373440: Loss = 0.009034484624862671, lr = [2.5e-05] +[2024-05-25 18:13:45,769] - INFO: Epoch 7470/9999, Iter 373460: Loss = 0.01216942723840475, lr = [2.5e-05] +[2024-05-25 18:14:13,750] - INFO: Epoch 7470/9999, Iter 373480: Loss = 0.01324557140469551, lr = [2.5e-05] +[2024-05-25 18:14:40,322] - INFO: Evaluate at epoch 7470! +[2024-05-25 18:14:44,421] - INFO: Eval PSNR (max): 38.099 (7325) SSIM (max): 0.9612 (7315) +[2024-05-25 18:14:44,421] - INFO: Eval PSNR (current): 38.063 (7470) SSIM (current): 0.9610 (7470) +[2024-05-25 18:14:44,421] - INFO: Evaluation over. +[2024-05-25 18:14:49,102] - INFO: Epoch 7471/9999, Iter 373500: Loss = 0.015350372530519962, lr = [2.5e-05] +[2024-05-25 18:15:17,251] - INFO: Epoch 7471/9999, Iter 373520: Loss = 0.01290547288954258, lr = [2.5e-05] +[2024-05-25 18:15:45,375] - INFO: Epoch 7471/9999, Iter 373540: Loss = 0.010129568167030811, lr = [2.5e-05] +[2024-05-25 18:16:13,471] - INFO: Epoch 7472/9999, Iter 373560: Loss = 0.01139132585376501, lr = [2.5e-05] +[2024-05-25 18:16:41,434] - INFO: Epoch 7472/9999, Iter 373580: Loss = 0.011767925694584846, lr = [2.5e-05] +[2024-05-25 18:17:10,736] - INFO: Epoch 7473/9999, Iter 373600: Loss = 0.012422829866409302, lr = [2.5e-05] +[2024-05-25 18:17:37,822] - INFO: Epoch 7473/9999, Iter 373620: Loss = 0.01144430786371231, lr = [2.5e-05] +[2024-05-25 18:18:04,787] - INFO: Epoch 7473/9999, Iter 373640: Loss = 0.01481573935598135, lr = [2.5e-05] +[2024-05-25 18:18:34,251] - INFO: Epoch 7474/9999, Iter 373660: Loss = 0.016925359144806862, lr = [2.5e-05] +[2024-05-25 18:19:01,832] - INFO: Epoch 7474/9999, Iter 373680: Loss = 0.012930621393024921, lr = [2.5e-05] +[2024-05-25 18:19:30,791] - INFO: Epoch 7475/9999, Iter 373700: Loss = 0.016121501103043556, lr = [2.5e-05] +[2024-05-25 18:19:59,066] - INFO: Epoch 7475/9999, Iter 373720: Loss = 0.012939033098518848, lr = [2.5e-05] +[2024-05-25 18:20:26,864] - INFO: Epoch 7475/9999, Iter 373740: Loss = 0.012670599855482578, lr = [2.5e-05] +[2024-05-25 18:20:38,798] - INFO: Evaluate at epoch 7475! +[2024-05-25 18:20:42,899] - INFO: Eval PSNR (max): 38.099 (7325) SSIM (max): 0.9612 (7315) +[2024-05-25 18:20:42,900] - INFO: Eval PSNR (current): 38.048 (7475) SSIM (current): 0.9611 (7475) +[2024-05-25 18:20:42,900] - INFO: Evaluation over. +[2024-05-25 18:21:02,211] - INFO: Epoch 7476/9999, Iter 373760: Loss = 0.01080924179404974, lr = [2.5e-05] +[2024-05-25 18:21:30,123] - INFO: Epoch 7476/9999, Iter 373780: Loss = 0.015866316854953766, lr = [2.5e-05] +[2024-05-25 18:21:58,725] - INFO: Epoch 7477/9999, Iter 373800: Loss = 0.009599579498171806, lr = [2.5e-05] +[2024-05-25 18:22:26,869] - INFO: Epoch 7477/9999, Iter 373820: Loss = 0.01600070111453533, lr = [2.5e-05] +[2024-05-25 18:22:54,866] - INFO: Epoch 7477/9999, Iter 373840: Loss = 0.012396598234772682, lr = [2.5e-05] +[2024-05-25 18:23:22,927] - INFO: Epoch 7478/9999, Iter 373860: Loss = 0.007309828884899616, lr = [2.5e-05] +[2024-05-25 18:23:50,075] - INFO: Epoch 7478/9999, Iter 373880: Loss = 0.008079593069851398, lr = [2.5e-05] +[2024-05-25 18:24:19,461] - INFO: Epoch 7479/9999, Iter 373900: Loss = 0.00863037258386612, lr = [2.5e-05] +[2024-05-25 18:24:47,511] - INFO: Epoch 7479/9999, Iter 373920: Loss = 0.009285042993724346, lr = [2.5e-05] +[2024-05-25 18:25:15,547] - INFO: Epoch 7479/9999, Iter 373940: Loss = 0.009801270440220833, lr = [2.5e-05] +[2024-05-25 18:25:44,954] - INFO: Epoch 7480/9999, Iter 373960: Loss = 0.011285348795354366, lr = [2.5e-05] +[2024-05-25 18:26:13,147] - INFO: Epoch 7480/9999, Iter 373980: Loss = 0.018728071823716164, lr = [2.5e-05] +[2024-05-25 18:26:39,143] - INFO: Evaluate at epoch 7480! +[2024-05-25 18:26:43,244] - INFO: Eval PSNR (max): 38.099 (7325) SSIM (max): 0.9612 (7315) +[2024-05-25 18:26:43,244] - INFO: Eval PSNR (current): 38.064 (7480) SSIM (current): 0.9611 (7480) +[2024-05-25 18:26:43,244] - INFO: Evaluation over. +[2024-05-25 18:26:47,814] - INFO: Epoch 7481/9999, Iter 374000: Loss = 0.02084524929523468, lr = [2.5e-05] +[2024-05-25 18:27:15,656] - INFO: Epoch 7481/9999, Iter 374020: Loss = 0.012557188048958778, lr = [2.5e-05] +[2024-05-25 18:27:43,373] - INFO: Epoch 7481/9999, Iter 374040: Loss = 0.014428198337554932, lr = [2.5e-05] +[2024-05-25 18:28:13,086] - INFO: Epoch 7482/9999, Iter 374060: Loss = 0.011398238129913807, lr = [2.5e-05] +[2024-05-25 18:28:41,409] - INFO: Epoch 7482/9999, Iter 374080: Loss = 0.008947215043008327, lr = [2.5e-05] +[2024-05-25 18:29:10,179] - INFO: Epoch 7483/9999, Iter 374100: Loss = 0.01739930920302868, lr = [2.5e-05] +[2024-05-25 18:29:38,388] - INFO: Epoch 7483/9999, Iter 374120: Loss = 0.010833987966179848, lr = [2.5e-05] +[2024-05-25 18:30:05,166] - INFO: Epoch 7483/9999, Iter 374140: Loss = 0.015100580640137196, lr = [2.5e-05] +[2024-05-25 18:30:34,825] - INFO: Epoch 7484/9999, Iter 374160: Loss = 0.012824849225580692, lr = [2.5e-05] +[2024-05-25 18:31:02,759] - INFO: Epoch 7484/9999, Iter 374180: Loss = 0.014911532402038574, lr = [2.5e-05] +[2024-05-25 18:31:31,182] - INFO: Epoch 7485/9999, Iter 374200: Loss = 0.015135553665459156, lr = [2.5e-05] +[2024-05-25 18:31:59,047] - INFO: Epoch 7485/9999, Iter 374220: Loss = 0.011987060308456421, lr = [2.5e-05] +[2024-05-25 18:32:27,603] - INFO: Epoch 7485/9999, Iter 374240: Loss = 0.010085065849125385, lr = [2.5e-05] +[2024-05-25 18:32:39,418] - INFO: Evaluate at epoch 7485! +[2024-05-25 18:32:43,517] - INFO: Eval PSNR (max): 38.099 (7325) SSIM (max): 0.9612 (7315) +[2024-05-25 18:32:43,518] - INFO: Eval PSNR (current): 38.081 (7485) SSIM (current): 0.9611 (7485) +[2024-05-25 18:32:43,518] - INFO: Evaluation over. +[2024-05-25 18:33:01,591] - INFO: Epoch 7486/9999, Iter 374260: Loss = 0.014033396728336811, lr = [2.5e-05] +[2024-05-25 18:33:28,915] - INFO: Epoch 7486/9999, Iter 374280: Loss = 0.01497234869748354, lr = [2.5e-05] +[2024-05-25 18:33:58,247] - INFO: Epoch 7487/9999, Iter 374300: Loss = 0.01593712903559208, lr = [2.5e-05] +[2024-05-25 18:34:26,621] - INFO: Epoch 7487/9999, Iter 374320: Loss = 0.01020848099142313, lr = [2.5e-05] +[2024-05-25 18:34:55,033] - INFO: Epoch 7487/9999, Iter 374340: Loss = 0.014401848427951336, lr = [2.5e-05] +[2024-05-25 18:35:23,844] - INFO: Epoch 7488/9999, Iter 374360: Loss = 0.010623372159898281, lr = [2.5e-05] +[2024-05-25 18:35:51,938] - INFO: Epoch 7488/9999, Iter 374380: Loss = 0.016999952495098114, lr = [2.5e-05] +[2024-05-25 18:36:21,009] - INFO: Epoch 7489/9999, Iter 374400: Loss = 0.0075830318965017796, lr = [2.5e-05] +[2024-05-25 18:36:48,698] - INFO: Epoch 7489/9999, Iter 374420: Loss = 0.012011109851300716, lr = [2.5e-05] +[2024-05-25 18:37:17,146] - INFO: Epoch 7489/9999, Iter 374440: Loss = 0.007295912131667137, lr = [2.5e-05] +[2024-05-25 18:37:45,979] - INFO: Epoch 7490/9999, Iter 374460: Loss = 0.007612217217683792, lr = [2.5e-05] +[2024-05-25 18:38:13,047] - INFO: Epoch 7490/9999, Iter 374480: Loss = 0.005187984090298414, lr = [2.5e-05] +[2024-05-25 18:38:39,119] - INFO: Evaluate at epoch 7490! +[2024-05-25 18:38:43,217] - INFO: Eval PSNR (max): 38.099 (7325) SSIM (max): 0.9612 (7315) +[2024-05-25 18:38:43,217] - INFO: Eval PSNR (current): 38.079 (7490) SSIM (current): 0.9611 (7490) +[2024-05-25 18:38:43,217] - INFO: Evaluation over. +[2024-05-25 18:38:47,782] - INFO: Epoch 7491/9999, Iter 374500: Loss = 0.009651810862123966, lr = [2.5e-05] +[2024-05-25 18:39:16,371] - INFO: Epoch 7491/9999, Iter 374520: Loss = 0.015162928029894829, lr = [2.5e-05] +[2024-05-25 18:39:44,251] - INFO: Epoch 7491/9999, Iter 374540: Loss = 0.015595126897096634, lr = [2.5e-05] +[2024-05-25 18:40:12,663] - INFO: Epoch 7492/9999, Iter 374560: Loss = 0.013176417909562588, lr = [2.5e-05] +[2024-05-25 18:40:39,787] - INFO: Epoch 7492/9999, Iter 374580: Loss = 0.01478311326354742, lr = [2.5e-05] +[2024-05-25 18:41:10,069] - INFO: Epoch 7493/9999, Iter 374600: Loss = 0.013174082152545452, lr = [2.5e-05] +[2024-05-25 18:41:38,110] - INFO: Epoch 7493/9999, Iter 374620: Loss = 0.01128547266125679, lr = [2.5e-05] +[2024-05-25 18:42:05,071] - INFO: Epoch 7493/9999, Iter 374640: Loss = 0.010675502941012383, lr = [2.5e-05] +[2024-05-25 18:42:34,911] - INFO: Epoch 7494/9999, Iter 374660: Loss = 0.011190271936357021, lr = [2.5e-05] +[2024-05-25 18:43:01,499] - INFO: Epoch 7494/9999, Iter 374680: Loss = 0.013200086541473866, lr = [2.5e-05] +[2024-05-25 18:43:31,400] - INFO: Epoch 7495/9999, Iter 374700: Loss = 0.01298353262245655, lr = [2.5e-05] +[2024-05-25 18:43:59,668] - INFO: Epoch 7495/9999, Iter 374720: Loss = 0.01698259264230728, lr = [2.5e-05] +[2024-05-25 18:44:27,698] - INFO: Epoch 7495/9999, Iter 374740: Loss = 0.013096983544528484, lr = [2.5e-05] +[2024-05-25 18:44:39,983] - INFO: Evaluate at epoch 7495! +[2024-05-25 18:44:44,079] - INFO: Eval PSNR (max): 38.099 (7325) SSIM (max): 0.9612 (7315) +[2024-05-25 18:44:44,079] - INFO: Eval PSNR (current): 38.057 (7495) SSIM (current): 0.9610 (7495) +[2024-05-25 18:44:44,079] - INFO: Evaluation over. +[2024-05-25 18:45:02,555] - INFO: Epoch 7496/9999, Iter 374760: Loss = 0.012696623802185059, lr = [2.5e-05] +[2024-05-25 18:45:30,386] - INFO: Epoch 7496/9999, Iter 374780: Loss = 0.011592167429625988, lr = [2.5e-05] +[2024-05-25 18:45:58,819] - INFO: Epoch 7497/9999, Iter 374800: Loss = 0.017302043735980988, lr = [2.5e-05] +[2024-05-25 18:46:25,975] - INFO: Epoch 7497/9999, Iter 374820: Loss = 0.011029592715203762, lr = [2.5e-05] +[2024-05-25 18:46:53,573] - INFO: Epoch 7497/9999, Iter 374840: Loss = 0.012739916332066059, lr = [2.5e-05] +[2024-05-25 18:47:22,400] - INFO: Epoch 7498/9999, Iter 374860: Loss = 0.009187925606966019, lr = [2.5e-05] +[2024-05-25 18:47:50,219] - INFO: Epoch 7498/9999, Iter 374880: Loss = 0.01173357106745243, lr = [2.5e-05] +[2024-05-25 18:48:19,822] - INFO: Epoch 7499/9999, Iter 374900: Loss = 0.008913957513868809, lr = [2.5e-05] +[2024-05-25 18:48:48,187] - INFO: Epoch 7499/9999, Iter 374920: Loss = 0.011301705613732338, lr = [2.5e-05] +[2024-05-25 18:49:16,088] - INFO: Epoch 7499/9999, Iter 374940: Loss = 0.016061928123235703, lr = [2.5e-05] +[2024-05-25 18:49:44,883] - INFO: Epoch 7500/9999, Iter 374960: Loss = 0.012014823965728283, lr = [1.25e-05] +[2024-05-25 18:50:12,898] - INFO: Epoch 7500/9999, Iter 374980: Loss = 0.00904776155948639, lr = [1.25e-05] +[2024-05-25 18:50:38,840] - INFO: Evaluate at epoch 7500! +[2024-05-25 18:50:42,942] - INFO: Eval PSNR (max): 38.099 (7325) SSIM (max): 0.9612 (7315) +[2024-05-25 18:50:42,942] - INFO: Eval PSNR (current): 38.085 (7500) SSIM (current): 0.9611 (7500) +[2024-05-25 18:50:42,942] - INFO: Evaluation over. +[2024-05-25 18:50:47,697] - INFO: Epoch 7501/9999, Iter 375000: Loss = 0.013820027001202106, lr = [1.25e-05] +[2024-05-25 18:51:16,511] - INFO: Epoch 7501/9999, Iter 375020: Loss = 0.012232561595737934, lr = [1.25e-05] +[2024-05-25 18:51:44,475] - INFO: Epoch 7501/9999, Iter 375040: Loss = 0.008488290011882782, lr = [1.25e-05] +[2024-05-25 18:52:13,249] - INFO: Epoch 7502/9999, Iter 375060: Loss = 0.014355111867189407, lr = [1.25e-05] +[2024-05-25 18:52:39,591] - INFO: Epoch 7502/9999, Iter 375080: Loss = 0.014562002383172512, lr = [1.25e-05] +[2024-05-25 18:53:08,883] - INFO: Epoch 7503/9999, Iter 375100: Loss = 0.01631089299917221, lr = [1.25e-05] +[2024-05-25 18:53:35,815] - INFO: Epoch 7503/9999, Iter 375120: Loss = 0.009805767796933651, lr = [1.25e-05] +[2024-05-25 18:54:04,144] - INFO: Epoch 7503/9999, Iter 375140: Loss = 0.011392260901629925, lr = [1.25e-05] +[2024-05-25 18:54:33,017] - INFO: Epoch 7504/9999, Iter 375160: Loss = 0.01614951528608799, lr = [1.25e-05] +[2024-05-25 18:54:59,591] - INFO: Epoch 7504/9999, Iter 375180: Loss = 0.014871777966618538, lr = [1.25e-05] +[2024-05-25 18:55:29,091] - INFO: Epoch 7505/9999, Iter 375200: Loss = 0.01132476981729269, lr = [1.25e-05] +[2024-05-25 18:55:56,643] - INFO: Epoch 7505/9999, Iter 375220: Loss = 0.016409825533628464, lr = [1.25e-05] +[2024-05-25 18:56:23,658] - INFO: Epoch 7505/9999, Iter 375240: Loss = 0.01713571883738041, lr = [1.25e-05] +[2024-05-25 18:56:36,050] - INFO: Evaluate at epoch 7505! +[2024-05-25 18:56:40,148] - INFO: Eval PSNR (max): 38.099 (7325) SSIM (max): 0.9612 (7315) +[2024-05-25 18:56:40,148] - INFO: Eval PSNR (current): 38.081 (7505) SSIM (current): 0.9611 (7505) +[2024-05-25 18:56:40,148] - INFO: Evaluation over. +[2024-05-25 18:56:58,701] - INFO: Epoch 7506/9999, Iter 375260: Loss = 0.009454519487917423, lr = [1.25e-05] +[2024-05-25 18:57:26,562] - INFO: Epoch 7506/9999, Iter 375280: Loss = 0.009431831538677216, lr = [1.25e-05] +[2024-05-25 18:57:55,467] - INFO: Epoch 7507/9999, Iter 375300: Loss = 0.01606603153049946, lr = [1.25e-05] +[2024-05-25 18:58:23,392] - INFO: Epoch 7507/9999, Iter 375320: Loss = 0.014468936249613762, lr = [1.25e-05] +[2024-05-25 18:58:51,846] - INFO: Epoch 7507/9999, Iter 375340: Loss = 0.013281070627272129, lr = [1.25e-05] +[2024-05-25 18:59:21,043] - INFO: Epoch 7508/9999, Iter 375360: Loss = 0.011435098946094513, lr = [1.25e-05] +[2024-05-25 18:59:49,031] - INFO: Epoch 7508/9999, Iter 375380: Loss = 0.010249221697449684, lr = [1.25e-05] +[2024-05-25 19:00:18,040] - INFO: Epoch 7509/9999, Iter 375400: Loss = 0.015703104436397552, lr = [1.25e-05] +[2024-05-25 19:00:45,515] - INFO: Epoch 7509/9999, Iter 375420: Loss = 0.015975166112184525, lr = [1.25e-05] +[2024-05-25 19:01:13,530] - INFO: Epoch 7509/9999, Iter 375440: Loss = 0.011084472760558128, lr = [1.25e-05] +[2024-05-25 19:01:42,567] - INFO: Epoch 7510/9999, Iter 375460: Loss = 0.011595950461924076, lr = [1.25e-05] +[2024-05-25 19:02:10,734] - INFO: Epoch 7510/9999, Iter 375480: Loss = 0.016083011403679848, lr = [1.25e-05] +[2024-05-25 19:02:36,796] - INFO: Evaluate at epoch 7510! +[2024-05-25 19:02:40,896] - INFO: Eval PSNR (max): 38.099 (7325) SSIM (max): 0.9612 (7315) +[2024-05-25 19:02:40,897] - INFO: Eval PSNR (current): 38.074 (7510) SSIM (current): 0.9611 (7510) +[2024-05-25 19:02:40,897] - INFO: Evaluation over. +[2024-05-25 19:02:45,304] - INFO: Epoch 7511/9999, Iter 375500: Loss = 0.01055797841399908, lr = [1.25e-05] +[2024-05-25 19:03:13,287] - INFO: Epoch 7511/9999, Iter 375520: Loss = 0.00940696056932211, lr = [1.25e-05] +[2024-05-25 19:03:41,531] - INFO: Epoch 7511/9999, Iter 375540: Loss = 0.014353284612298012, lr = [1.25e-05] +[2024-05-25 19:04:10,797] - INFO: Epoch 7512/9999, Iter 375560: Loss = 0.013029593974351883, lr = [1.25e-05] +[2024-05-25 19:04:38,519] - INFO: Epoch 7512/9999, Iter 375580: Loss = 0.005954086314886808, lr = [1.25e-05] +[2024-05-25 19:05:07,885] - INFO: Epoch 7513/9999, Iter 375600: Loss = 0.012635206803679466, lr = [1.25e-05] +[2024-05-25 19:05:34,528] - INFO: Epoch 7513/9999, Iter 375620: Loss = 0.010754883289337158, lr = [1.25e-05] +[2024-05-25 19:06:01,755] - INFO: Epoch 7513/9999, Iter 375640: Loss = 0.01117483340203762, lr = [1.25e-05] +[2024-05-25 19:06:31,305] - INFO: Epoch 7514/9999, Iter 375660: Loss = 0.013598699122667313, lr = [1.25e-05] +[2024-05-25 19:06:58,442] - INFO: Epoch 7514/9999, Iter 375680: Loss = 0.014565999619662762, lr = [1.25e-05] +[2024-05-25 19:07:27,552] - INFO: Epoch 7515/9999, Iter 375700: Loss = 0.012102250941097736, lr = [1.25e-05] +[2024-05-25 19:07:55,314] - INFO: Epoch 7515/9999, Iter 375720: Loss = 0.01170610636472702, lr = [1.25e-05] +[2024-05-25 19:08:23,264] - INFO: Epoch 7515/9999, Iter 375740: Loss = 0.02315054088830948, lr = [1.25e-05] +[2024-05-25 19:08:35,609] - INFO: Evaluate at epoch 7515! +[2024-05-25 19:08:39,707] - INFO: Eval PSNR (max): 38.099 (7325) SSIM (max): 0.9612 (7315) +[2024-05-25 19:08:39,707] - INFO: Eval PSNR (current): 38.085 (7515) SSIM (current): 0.9611 (7515) +[2024-05-25 19:08:39,708] - INFO: Evaluation over. +[2024-05-25 19:08:58,926] - INFO: Epoch 7516/9999, Iter 375760: Loss = 0.0070113237015903, lr = [1.25e-05] +[2024-05-25 19:09:26,672] - INFO: Epoch 7516/9999, Iter 375780: Loss = 0.014860810711979866, lr = [1.25e-05] +[2024-05-25 19:09:55,643] - INFO: Epoch 7517/9999, Iter 375800: Loss = 0.01708374172449112, lr = [1.25e-05] +[2024-05-25 19:10:23,593] - INFO: Epoch 7517/9999, Iter 375820: Loss = 0.005927760154008865, lr = [1.25e-05] +[2024-05-25 19:10:51,663] - INFO: Epoch 7517/9999, Iter 375840: Loss = 0.015954794362187386, lr = [1.25e-05] +[2024-05-25 19:11:20,827] - INFO: Epoch 7518/9999, Iter 375860: Loss = 0.014885825105011463, lr = [1.25e-05] +[2024-05-25 19:11:48,735] - INFO: Epoch 7518/9999, Iter 375880: Loss = 0.017341889441013336, lr = [1.25e-05] +[2024-05-25 19:12:17,263] - INFO: Epoch 7519/9999, Iter 375900: Loss = 0.014418289065361023, lr = [1.25e-05] +[2024-05-25 19:12:43,787] - INFO: Epoch 7519/9999, Iter 375920: Loss = 0.011587206274271011, lr = [1.25e-05] +[2024-05-25 19:13:12,687] - INFO: Epoch 7519/9999, Iter 375940: Loss = 0.01195496879518032, lr = [1.25e-05] +[2024-05-25 19:13:41,439] - INFO: Epoch 7520/9999, Iter 375960: Loss = 0.013835195451974869, lr = [1.25e-05] +[2024-05-25 19:14:09,600] - INFO: Epoch 7520/9999, Iter 375980: Loss = 0.010633114725351334, lr = [1.25e-05] +[2024-05-25 19:14:35,469] - INFO: Evaluate at epoch 7520! +[2024-05-25 19:14:39,572] - INFO: Eval PSNR (max): 38.099 (7325) SSIM (max): 0.9612 (7315) +[2024-05-25 19:14:39,572] - INFO: Eval PSNR (current): 38.078 (7520) SSIM (current): 0.9611 (7520) +[2024-05-25 19:14:39,572] - INFO: Evaluation over. +[2024-05-25 19:14:44,402] - INFO: Epoch 7521/9999, Iter 376000: Loss = 0.014798120595514774, lr = [1.25e-05] +[2024-05-25 19:15:12,179] - INFO: Epoch 7521/9999, Iter 376020: Loss = 0.01202457956969738, lr = [1.25e-05] +[2024-05-25 19:15:39,659] - INFO: Epoch 7521/9999, Iter 376040: Loss = 0.009506394155323505, lr = [1.25e-05] +[2024-05-25 19:16:08,423] - INFO: Epoch 7522/9999, Iter 376060: Loss = 0.01227539125829935, lr = [1.25e-05] +[2024-05-25 19:16:36,495] - INFO: Epoch 7522/9999, Iter 376080: Loss = 0.011866051703691483, lr = [1.25e-05] +[2024-05-25 19:17:06,082] - INFO: Epoch 7523/9999, Iter 376100: Loss = 0.013955247588455677, lr = [1.25e-05] +[2024-05-25 19:17:33,136] - INFO: Epoch 7523/9999, Iter 376120: Loss = 0.013026014901697636, lr = [1.25e-05] +[2024-05-25 19:18:01,539] - INFO: Epoch 7523/9999, Iter 376140: Loss = 0.012608789838850498, lr = [1.25e-05] +[2024-05-25 19:18:30,268] - INFO: Epoch 7524/9999, Iter 376160: Loss = 0.011814446188509464, lr = [1.25e-05] +[2024-05-25 19:18:58,291] - INFO: Epoch 7524/9999, Iter 376180: Loss = 0.008643345907330513, lr = [1.25e-05] +[2024-05-25 19:19:27,756] - INFO: Epoch 7525/9999, Iter 376200: Loss = 0.013441652990877628, lr = [1.25e-05] +[2024-05-25 19:19:54,765] - INFO: Epoch 7525/9999, Iter 376220: Loss = 0.00802842527627945, lr = [1.25e-05] +[2024-05-25 19:20:22,403] - INFO: Epoch 7525/9999, Iter 376240: Loss = 0.01578621380031109, lr = [1.25e-05] +[2024-05-25 19:20:34,575] - INFO: Evaluate at epoch 7525! +[2024-05-25 19:20:38,679] - INFO: Eval PSNR (max): 38.099 (7325) SSIM (max): 0.9612 (7315) +[2024-05-25 19:20:38,679] - INFO: Eval PSNR (current): 38.088 (7525) SSIM (current): 0.9611 (7525) +[2024-05-25 19:20:38,679] - INFO: Evaluation over. +[2024-05-25 19:20:57,117] - INFO: Epoch 7526/9999, Iter 376260: Loss = 0.008910035714507103, lr = [1.25e-05] +[2024-05-25 19:21:25,706] - INFO: Epoch 7526/9999, Iter 376280: Loss = 0.01617371290922165, lr = [1.25e-05] +[2024-05-25 19:21:54,141] - INFO: Epoch 7527/9999, Iter 376300: Loss = 0.014276164583861828, lr = [1.25e-05] +[2024-05-25 19:22:21,345] - INFO: Epoch 7527/9999, Iter 376320: Loss = 0.0125349760055542, lr = [1.25e-05] +[2024-05-25 19:22:48,739] - INFO: Epoch 7527/9999, Iter 376340: Loss = 0.01399599201977253, lr = [1.25e-05] +[2024-05-25 19:23:17,698] - INFO: Epoch 7528/9999, Iter 376360: Loss = 0.009128817357122898, lr = [1.25e-05] +[2024-05-25 19:23:45,751] - INFO: Epoch 7528/9999, Iter 376380: Loss = 0.013441712595522404, lr = [1.25e-05] +[2024-05-25 19:24:14,683] - INFO: Epoch 7529/9999, Iter 376400: Loss = 0.015764204785227776, lr = [1.25e-05] +[2024-05-25 19:24:43,502] - INFO: Epoch 7529/9999, Iter 376420: Loss = 0.014723342843353748, lr = [1.25e-05] +[2024-05-25 19:25:11,423] - INFO: Epoch 7529/9999, Iter 376440: Loss = 0.010680814273655415, lr = [1.25e-05] +[2024-05-25 19:25:40,112] - INFO: Epoch 7530/9999, Iter 376460: Loss = 0.011495462618768215, lr = [1.25e-05] +[2024-05-25 19:26:08,383] - INFO: Epoch 7530/9999, Iter 376480: Loss = 0.009795032441616058, lr = [1.25e-05] +[2024-05-25 19:26:34,113] - INFO: Evaluate at epoch 7530! +[2024-05-25 19:26:38,210] - INFO: Eval PSNR (max): 38.099 (7325) SSIM (max): 0.9612 (7315) +[2024-05-25 19:26:38,211] - INFO: Eval PSNR (current): 38.079 (7530) SSIM (current): 0.9611 (7530) +[2024-05-25 19:26:38,211] - INFO: Evaluation over. +[2024-05-25 19:26:42,599] - INFO: Epoch 7531/9999, Iter 376500: Loss = 0.011024871841073036, lr = [1.25e-05] +[2024-05-25 19:27:09,601] - INFO: Epoch 7531/9999, Iter 376520: Loss = 0.01681954599916935, lr = [1.25e-05] +[2024-05-25 19:27:36,640] - INFO: Epoch 7531/9999, Iter 376540: Loss = 0.022383200004696846, lr = [1.25e-05] +[2024-05-25 19:28:06,125] - INFO: Epoch 7532/9999, Iter 376560: Loss = 0.010389010421931744, lr = [1.25e-05] +[2024-05-25 19:28:34,074] - INFO: Epoch 7532/9999, Iter 376580: Loss = 0.012391777709126472, lr = [1.25e-05] +[2024-05-25 19:29:02,959] - INFO: Epoch 7533/9999, Iter 376600: Loss = 0.00943488534539938, lr = [1.25e-05] +[2024-05-25 19:29:30,403] - INFO: Epoch 7533/9999, Iter 376620: Loss = 0.014166468754410744, lr = [1.25e-05] +[2024-05-25 19:29:57,260] - INFO: Epoch 7533/9999, Iter 376640: Loss = 0.010341169312596321, lr = [1.25e-05] +[2024-05-25 19:30:25,520] - INFO: Epoch 7534/9999, Iter 376660: Loss = 0.010976877994835377, lr = [1.25e-05] +[2024-05-25 19:30:53,879] - INFO: Epoch 7534/9999, Iter 376680: Loss = 0.01010282151401043, lr = [1.25e-05] +[2024-05-25 19:31:22,684] - INFO: Epoch 7535/9999, Iter 376700: Loss = 0.012240366078913212, lr = [1.25e-05] +[2024-05-25 19:31:50,183] - INFO: Epoch 7535/9999, Iter 376720: Loss = 0.013161931186914444, lr = [1.25e-05] +[2024-05-25 19:32:17,243] - INFO: Epoch 7535/9999, Iter 376740: Loss = 0.01118509005755186, lr = [1.25e-05] +[2024-05-25 19:32:29,924] - INFO: Evaluate at epoch 7535! +[2024-05-25 19:32:34,023] - INFO: Eval PSNR (max): 38.099 (7325) SSIM (max): 0.9612 (7315) +[2024-05-25 19:32:34,023] - INFO: Eval PSNR (current): 38.082 (7535) SSIM (current): 0.9611 (7535) +[2024-05-25 19:32:34,023] - INFO: Evaluation over. +[2024-05-25 19:32:52,815] - INFO: Epoch 7536/9999, Iter 376760: Loss = 0.012277376838028431, lr = [1.25e-05] +[2024-05-25 19:33:20,321] - INFO: Epoch 7536/9999, Iter 376780: Loss = 0.006986513268202543, lr = [1.25e-05] +[2024-05-25 19:33:49,316] - INFO: Epoch 7537/9999, Iter 376800: Loss = 0.009858758188784122, lr = [1.25e-05] +[2024-05-25 19:34:16,956] - INFO: Epoch 7537/9999, Iter 376820: Loss = 0.01099381223320961, lr = [1.25e-05] +[2024-05-25 19:34:45,051] - INFO: Epoch 7537/9999, Iter 376840: Loss = 0.012846325524151325, lr = [1.25e-05] +[2024-05-25 19:35:13,395] - INFO: Epoch 7538/9999, Iter 376860: Loss = 0.012683133594691753, lr = [1.25e-05] +[2024-05-25 19:35:40,843] - INFO: Epoch 7538/9999, Iter 376880: Loss = 0.010860741138458252, lr = [1.25e-05] +[2024-05-25 19:36:10,347] - INFO: Epoch 7539/9999, Iter 376900: Loss = 0.010954470373690128, lr = [1.25e-05] +[2024-05-25 19:36:37,892] - INFO: Epoch 7539/9999, Iter 376920: Loss = 0.021625148132443428, lr = [1.25e-05] +[2024-05-25 19:37:05,615] - INFO: Epoch 7539/9999, Iter 376940: Loss = 0.01062537170946598, lr = [1.25e-05] +[2024-05-25 19:37:34,575] - INFO: Epoch 7540/9999, Iter 376960: Loss = 0.008083107881247997, lr = [1.25e-05] +[2024-05-25 19:38:01,447] - INFO: Epoch 7540/9999, Iter 376980: Loss = 0.019578995183110237, lr = [1.25e-05] +[2024-05-25 19:38:27,979] - INFO: Evaluate at epoch 7540! +[2024-05-25 19:38:32,072] - INFO: Eval PSNR (max): 38.099 (7325) SSIM (max): 0.9612 (7315) +[2024-05-25 19:38:32,073] - INFO: Eval PSNR (current): 38.083 (7540) SSIM (current): 0.9611 (7540) +[2024-05-25 19:38:32,073] - INFO: Evaluation over. +[2024-05-25 19:38:36,919] - INFO: Epoch 7541/9999, Iter 377000: Loss = 0.016028162091970444, lr = [1.25e-05] +[2024-05-25 19:39:04,591] - INFO: Epoch 7541/9999, Iter 377020: Loss = 0.010279825888574123, lr = [1.25e-05] +[2024-05-25 19:39:33,004] - INFO: Epoch 7541/9999, Iter 377040: Loss = 0.014693683944642544, lr = [1.25e-05] +[2024-05-25 19:40:02,239] - INFO: Epoch 7542/9999, Iter 377060: Loss = 0.010423850268125534, lr = [1.25e-05] +[2024-05-25 19:40:29,555] - INFO: Epoch 7542/9999, Iter 377080: Loss = 0.01076338067650795, lr = [1.25e-05] +[2024-05-25 19:40:58,697] - INFO: Epoch 7543/9999, Iter 377100: Loss = 0.017553268000483513, lr = [1.25e-05] +[2024-05-25 19:41:27,027] - INFO: Epoch 7543/9999, Iter 377120: Loss = 0.015492113307118416, lr = [1.25e-05] +[2024-05-25 19:41:53,549] - INFO: Epoch 7543/9999, Iter 377140: Loss = 0.012186778709292412, lr = [1.25e-05] +[2024-05-25 19:42:22,699] - INFO: Epoch 7544/9999, Iter 377160: Loss = 0.01808277517557144, lr = [1.25e-05] +[2024-05-25 19:42:50,401] - INFO: Epoch 7544/9999, Iter 377180: Loss = 0.010030833072960377, lr = [1.25e-05] +[2024-05-25 19:43:19,959] - INFO: Epoch 7545/9999, Iter 377200: Loss = 0.010682502761483192, lr = [1.25e-05] +[2024-05-25 19:43:46,851] - INFO: Epoch 7545/9999, Iter 377220: Loss = 0.012121408246457577, lr = [1.25e-05] +[2024-05-25 19:44:13,857] - INFO: Epoch 7545/9999, Iter 377240: Loss = 0.011150638572871685, lr = [1.25e-05] +[2024-05-25 19:44:26,623] - INFO: Evaluate at epoch 7545! +[2024-05-25 19:44:30,710] - INFO: Eval PSNR (max): 38.099 (7325) SSIM (max): 0.9612 (7315) +[2024-05-25 19:44:30,710] - INFO: Eval PSNR (current): 38.078 (7545) SSIM (current): 0.9611 (7545) +[2024-05-25 19:44:30,710] - INFO: Evaluation over. +[2024-05-25 19:44:49,470] - INFO: Epoch 7546/9999, Iter 377260: Loss = 0.012371458113193512, lr = [1.25e-05] +[2024-05-25 19:45:17,410] - INFO: Epoch 7546/9999, Iter 377280: Loss = 0.013145333155989647, lr = [1.25e-05] +[2024-05-25 19:45:45,676] - INFO: Epoch 7547/9999, Iter 377300: Loss = 0.013788105919957161, lr = [1.25e-05] +[2024-05-25 19:46:13,431] - INFO: Epoch 7547/9999, Iter 377320: Loss = 0.013295458629727364, lr = [1.25e-05] +[2024-05-25 19:46:40,723] - INFO: Epoch 7547/9999, Iter 377340: Loss = 0.013588139787316322, lr = [1.25e-05] +[2024-05-25 19:47:09,284] - INFO: Epoch 7548/9999, Iter 377360: Loss = 0.012316635809838772, lr = [1.25e-05] +[2024-05-25 19:47:37,756] - INFO: Epoch 7548/9999, Iter 377380: Loss = 0.011022364720702171, lr = [1.25e-05] +[2024-05-25 19:48:06,719] - INFO: Epoch 7549/9999, Iter 377400: Loss = 0.011667664162814617, lr = [1.25e-05] +[2024-05-25 19:48:35,207] - INFO: Epoch 7549/9999, Iter 377420: Loss = 0.011838323436677456, lr = [1.25e-05] +[2024-05-25 19:49:03,591] - INFO: Epoch 7549/9999, Iter 377440: Loss = 0.0140411127358675, lr = [1.25e-05] +[2024-05-25 19:49:32,521] - INFO: Epoch 7550/9999, Iter 377460: Loss = 0.013511491939425468, lr = [1.25e-05] +[2024-05-25 19:49:59,905] - INFO: Epoch 7550/9999, Iter 377480: Loss = 0.010017657652497292, lr = [1.25e-05] +[2024-05-25 19:50:25,890] - INFO: Evaluate at epoch 7550! +[2024-05-25 19:50:29,904] - INFO: Eval PSNR (max): 38.099 (7325) SSIM (max): 0.9612 (7315) +[2024-05-25 19:50:29,904] - INFO: Eval PSNR (current): 38.088 (7550) SSIM (current): 0.9612 (7550) +[2024-05-25 19:50:29,904] - INFO: Evaluation over. +[2024-05-25 19:50:34,356] - INFO: Epoch 7551/9999, Iter 377500: Loss = 0.010957719758152962, lr = [1.25e-05] +[2024-05-25 19:51:02,862] - INFO: Epoch 7551/9999, Iter 377520: Loss = 0.017100956290960312, lr = [1.25e-05] +[2024-05-25 19:51:30,587] - INFO: Epoch 7551/9999, Iter 377540: Loss = 0.008832377381622791, lr = [1.25e-05] +[2024-05-25 19:51:59,756] - INFO: Epoch 7552/9999, Iter 377560: Loss = 0.015173666179180145, lr = [1.25e-05] +[2024-05-25 19:52:28,547] - INFO: Epoch 7552/9999, Iter 377580: Loss = 0.012287276796996593, lr = [1.25e-05] +[2024-05-25 19:52:56,951] - INFO: Epoch 7553/9999, Iter 377600: Loss = 0.01441086083650589, lr = [1.25e-05] +[2024-05-25 19:53:24,757] - INFO: Epoch 7553/9999, Iter 377620: Loss = 0.02366652712225914, lr = [1.25e-05] +[2024-05-25 19:53:51,742] - INFO: Epoch 7553/9999, Iter 377640: Loss = 0.009691903367638588, lr = [1.25e-05] +[2024-05-25 19:54:21,055] - INFO: Epoch 7554/9999, Iter 377660: Loss = 0.01338803768157959, lr = [1.25e-05] +[2024-05-25 19:54:49,172] - INFO: Epoch 7554/9999, Iter 377680: Loss = 0.011283344589173794, lr = [1.25e-05] +[2024-05-25 19:55:17,680] - INFO: Epoch 7555/9999, Iter 377700: Loss = 0.015450113452970982, lr = [1.25e-05] +[2024-05-25 19:55:44,792] - INFO: Epoch 7555/9999, Iter 377720: Loss = 0.010963312350213528, lr = [1.25e-05] +[2024-05-25 19:56:11,969] - INFO: Epoch 7555/9999, Iter 377740: Loss = 0.012643485330045223, lr = [1.25e-05] +[2024-05-25 19:56:24,665] - INFO: Evaluate at epoch 7555! +[2024-05-25 19:56:28,770] - INFO: Eval PSNR (max): 38.099 (7325) SSIM (max): 0.9612 (7315) +[2024-05-25 19:56:28,770] - INFO: Eval PSNR (current): 38.073 (7555) SSIM (current): 0.9611 (7555) +[2024-05-25 19:56:28,770] - INFO: Evaluation over. +[2024-05-25 19:56:47,383] - INFO: Epoch 7556/9999, Iter 377760: Loss = 0.01178958173841238, lr = [1.25e-05] +[2024-05-25 19:57:15,464] - INFO: Epoch 7556/9999, Iter 377780: Loss = 0.01618664525449276, lr = [1.25e-05] +[2024-05-25 19:57:44,972] - INFO: Epoch 7557/9999, Iter 377800: Loss = 0.012976271100342274, lr = [1.25e-05] +[2024-05-25 19:58:13,293] - INFO: Epoch 7557/9999, Iter 377820: Loss = 0.013561527244746685, lr = [1.25e-05] +[2024-05-25 19:58:40,689] - INFO: Epoch 7557/9999, Iter 377840: Loss = 0.012152411043643951, lr = [1.25e-05] +[2024-05-25 19:59:09,375] - INFO: Epoch 7558/9999, Iter 377860: Loss = 0.010800235904753208, lr = [1.25e-05] +[2024-05-25 19:59:37,248] - INFO: Epoch 7558/9999, Iter 377880: Loss = 0.012130068615078926, lr = [1.25e-05] +[2024-05-25 20:00:06,792] - INFO: Epoch 7559/9999, Iter 377900: Loss = 0.01527373492717743, lr = [1.25e-05] +[2024-05-25 20:00:35,226] - INFO: Epoch 7559/9999, Iter 377920: Loss = 0.006235932931303978, lr = [1.25e-05] +[2024-05-25 20:01:03,404] - INFO: Epoch 7559/9999, Iter 377940: Loss = 0.015081516467034817, lr = [1.25e-05] +[2024-05-25 20:01:31,600] - INFO: Epoch 7560/9999, Iter 377960: Loss = 0.009840581566095352, lr = [1.25e-05] +[2024-05-25 20:01:59,163] - INFO: Epoch 7560/9999, Iter 377980: Loss = 0.01025308482348919, lr = [1.25e-05] +[2024-05-25 20:02:25,781] - INFO: Evaluate at epoch 7560! +[2024-05-25 20:02:29,878] - INFO: Eval PSNR (max): 38.099 (7325) SSIM (max): 0.9612 (7315) +[2024-05-25 20:02:29,879] - INFO: Eval PSNR (current): 38.090 (7560) SSIM (current): 0.9612 (7560) +[2024-05-25 20:02:29,879] - INFO: Evaluation over. +[2024-05-25 20:02:34,848] - INFO: Epoch 7561/9999, Iter 378000: Loss = 0.01438769418746233, lr = [1.25e-05] +[2024-05-25 20:03:01,518] - INFO: Epoch 7561/9999, Iter 378020: Loss = 0.012944272719323635, lr = [1.25e-05] +[2024-05-25 20:03:28,404] - INFO: Epoch 7561/9999, Iter 378040: Loss = 0.014517323113977909, lr = [1.25e-05] +[2024-05-25 20:03:57,958] - INFO: Epoch 7562/9999, Iter 378060: Loss = 0.012174133211374283, lr = [1.25e-05] +[2024-05-25 20:04:26,058] - INFO: Epoch 7562/9999, Iter 378080: Loss = 0.016600120812654495, lr = [1.25e-05] +[2024-05-25 20:04:55,223] - INFO: Epoch 7563/9999, Iter 378100: Loss = 0.007898564450442791, lr = [1.25e-05] +[2024-05-25 20:05:22,325] - INFO: Epoch 7563/9999, Iter 378120: Loss = 0.018155965954065323, lr = [1.25e-05] +[2024-05-25 20:05:49,570] - INFO: Epoch 7563/9999, Iter 378140: Loss = 0.010441726073622704, lr = [1.25e-05] +[2024-05-25 20:06:18,487] - INFO: Epoch 7564/9999, Iter 378160: Loss = 0.014175178483128548, lr = [1.25e-05] +[2024-05-25 20:06:45,258] - INFO: Epoch 7564/9999, Iter 378180: Loss = 0.012243478558957577, lr = [1.25e-05] +[2024-05-25 20:07:14,772] - INFO: Epoch 7565/9999, Iter 378200: Loss = 0.014817035757005215, lr = [1.25e-05] +[2024-05-25 20:07:42,868] - INFO: Epoch 7565/9999, Iter 378220: Loss = 0.010443495586514473, lr = [1.25e-05] +[2024-05-25 20:08:09,994] - INFO: Epoch 7565/9999, Iter 378240: Loss = 0.011572218500077724, lr = [1.25e-05] +[2024-05-25 20:08:22,349] - INFO: Evaluate at epoch 7565! +[2024-05-25 20:08:26,448] - INFO: Eval PSNR (max): 38.099 (7325) SSIM (max): 0.9612 (7315) +[2024-05-25 20:08:26,448] - INFO: Eval PSNR (current): 38.089 (7565) SSIM (current): 0.9611 (7565) +[2024-05-25 20:08:26,448] - INFO: Evaluation over. +[2024-05-25 20:08:45,207] - INFO: Epoch 7566/9999, Iter 378260: Loss = 0.011010151356458664, lr = [1.25e-05] +[2024-05-25 20:09:13,671] - INFO: Epoch 7566/9999, Iter 378280: Loss = 0.01063213124871254, lr = [1.25e-05] +[2024-05-25 20:09:42,380] - INFO: Epoch 7567/9999, Iter 378300: Loss = 0.012013718485832214, lr = [1.25e-05] +[2024-05-25 20:10:10,269] - INFO: Epoch 7567/9999, Iter 378320: Loss = 0.014779966324567795, lr = [1.25e-05] +[2024-05-25 20:10:38,049] - INFO: Epoch 7567/9999, Iter 378340: Loss = 0.010273893363773823, lr = [1.25e-05] +[2024-05-25 20:11:07,524] - INFO: Epoch 7568/9999, Iter 378360: Loss = 0.01429147832095623, lr = [1.25e-05] +[2024-05-25 20:11:35,119] - INFO: Epoch 7568/9999, Iter 378380: Loss = 0.014656911604106426, lr = [1.25e-05] +[2024-05-25 20:12:04,910] - INFO: Epoch 7569/9999, Iter 378400: Loss = 0.014306741766631603, lr = [1.25e-05] +[2024-05-25 20:12:32,051] - INFO: Epoch 7569/9999, Iter 378420: Loss = 0.01429715659469366, lr = [1.25e-05] +[2024-05-25 20:13:00,491] - INFO: Epoch 7569/9999, Iter 378440: Loss = 0.01655537262558937, lr = [1.25e-05] +[2024-05-25 20:13:29,577] - INFO: Epoch 7570/9999, Iter 378460: Loss = 0.01177030149847269, lr = [1.25e-05] +[2024-05-25 20:13:58,394] - INFO: Epoch 7570/9999, Iter 378480: Loss = 0.01011234987527132, lr = [1.25e-05] +[2024-05-25 20:14:23,974] - INFO: Evaluate at epoch 7570! +[2024-05-25 20:14:28,069] - INFO: Eval PSNR (max): 38.099 (7325) SSIM (max): 0.9612 (7315) +[2024-05-25 20:14:28,069] - INFO: Eval PSNR (current): 38.095 (7570) SSIM (current): 0.9612 (7570) +[2024-05-25 20:14:28,069] - INFO: Evaluation over. +[2024-05-25 20:14:32,820] - INFO: Epoch 7571/9999, Iter 378500: Loss = 0.009550659917294979, lr = [1.25e-05] +[2024-05-25 20:15:01,203] - INFO: Epoch 7571/9999, Iter 378520: Loss = 0.010344037786126137, lr = [1.25e-05] +[2024-05-25 20:15:28,775] - INFO: Epoch 7571/9999, Iter 378540: Loss = 0.012869369238615036, lr = [1.25e-05] +[2024-05-25 20:15:56,902] - INFO: Epoch 7572/9999, Iter 378560: Loss = 0.012501138262450695, lr = [1.25e-05] +[2024-05-25 20:16:23,744] - INFO: Epoch 7572/9999, Iter 378580: Loss = 0.012263617478311062, lr = [1.25e-05] +[2024-05-25 20:16:53,064] - INFO: Epoch 7573/9999, Iter 378600: Loss = 0.013058662414550781, lr = [1.25e-05] +[2024-05-25 20:17:20,913] - INFO: Epoch 7573/9999, Iter 378620: Loss = 0.010735893622040749, lr = [1.25e-05] +[2024-05-25 20:17:48,407] - INFO: Epoch 7573/9999, Iter 378640: Loss = 0.010027271695435047, lr = [1.25e-05] +[2024-05-25 20:18:18,312] - INFO: Epoch 7574/9999, Iter 378660: Loss = 0.015363864600658417, lr = [1.25e-05] +[2024-05-25 20:18:45,776] - INFO: Epoch 7574/9999, Iter 378680: Loss = 0.00792031828314066, lr = [1.25e-05] +[2024-05-25 20:19:14,467] - INFO: Epoch 7575/9999, Iter 378700: Loss = 0.010185261256992817, lr = [1.25e-05] +[2024-05-25 20:19:41,955] - INFO: Epoch 7575/9999, Iter 378720: Loss = 0.012294790707528591, lr = [1.25e-05] +[2024-05-25 20:20:09,767] - INFO: Epoch 7575/9999, Iter 378740: Loss = 0.014032651670277119, lr = [1.25e-05] +[2024-05-25 20:20:22,217] - INFO: Evaluate at epoch 7575! +[2024-05-25 20:20:26,310] - INFO: Eval PSNR (max): 38.099 (7325) SSIM (max): 0.9612 (7315) +[2024-05-25 20:20:26,310] - INFO: Eval PSNR (current): 38.094 (7575) SSIM (current): 0.9612 (7575) +[2024-05-25 20:20:26,311] - INFO: Evaluation over. +[2024-05-25 20:20:44,125] - INFO: Epoch 7576/9999, Iter 378760: Loss = 0.012206544168293476, lr = [1.25e-05] +[2024-05-25 20:21:11,319] - INFO: Epoch 7576/9999, Iter 378780: Loss = 0.013146918267011642, lr = [1.25e-05] +[2024-05-25 20:21:40,082] - INFO: Epoch 7577/9999, Iter 378800: Loss = 0.01446255762130022, lr = [1.25e-05] +[2024-05-25 20:22:07,667] - INFO: Epoch 7577/9999, Iter 378820: Loss = 0.01791129820048809, lr = [1.25e-05] +[2024-05-25 20:22:34,261] - INFO: Epoch 7577/9999, Iter 378840: Loss = 0.009260136634111404, lr = [1.25e-05] +[2024-05-25 20:23:04,231] - INFO: Epoch 7578/9999, Iter 378860: Loss = 0.011222601868212223, lr = [1.25e-05] +[2024-05-25 20:23:31,790] - INFO: Epoch 7578/9999, Iter 378880: Loss = 0.012020518071949482, lr = [1.25e-05] +[2024-05-25 20:24:00,500] - INFO: Epoch 7579/9999, Iter 378900: Loss = 0.010618884116411209, lr = [1.25e-05] +[2024-05-25 20:24:28,649] - INFO: Epoch 7579/9999, Iter 378920: Loss = 0.012116254307329655, lr = [1.25e-05] +[2024-05-25 20:24:57,406] - INFO: Epoch 7579/9999, Iter 378940: Loss = 0.01445805374532938, lr = [1.25e-05] +[2024-05-25 20:25:26,044] - INFO: Epoch 7580/9999, Iter 378960: Loss = 0.009715289808809757, lr = [1.25e-05] +[2024-05-25 20:25:52,872] - INFO: Epoch 7580/9999, Iter 378980: Loss = 0.013498950749635696, lr = [1.25e-05] +[2024-05-25 20:26:19,378] - INFO: Evaluate at epoch 7580! +[2024-05-25 20:26:23,474] - INFO: Eval PSNR (max): 38.099 (7325) SSIM (max): 0.9612 (7315) +[2024-05-25 20:26:23,474] - INFO: Eval PSNR (current): 38.083 (7580) SSIM (current): 0.9611 (7580) +[2024-05-25 20:26:23,474] - INFO: Evaluation over. +[2024-05-25 20:26:27,934] - INFO: Epoch 7581/9999, Iter 379000: Loss = 0.012495197355747223, lr = [1.25e-05] +[2024-05-25 20:26:55,690] - INFO: Epoch 7581/9999, Iter 379020: Loss = 0.012878733687102795, lr = [1.25e-05] +[2024-05-25 20:27:23,922] - INFO: Epoch 7581/9999, Iter 379040: Loss = 0.01329090166836977, lr = [1.25e-05] +[2024-05-25 20:27:52,191] - INFO: Epoch 7582/9999, Iter 379060: Loss = 0.012069753371179104, lr = [1.25e-05] +[2024-05-25 20:28:20,617] - INFO: Epoch 7582/9999, Iter 379080: Loss = 0.014834105037152767, lr = [1.25e-05] +[2024-05-25 20:28:48,859] - INFO: Epoch 7583/9999, Iter 379100: Loss = 0.012524704448878765, lr = [1.25e-05] +[2024-05-25 20:29:16,599] - INFO: Epoch 7583/9999, Iter 379120: Loss = 0.009849845431745052, lr = [1.25e-05] +[2024-05-25 20:29:43,529] - INFO: Epoch 7583/9999, Iter 379140: Loss = 0.009555370546877384, lr = [1.25e-05] +[2024-05-25 20:30:12,223] - INFO: Epoch 7584/9999, Iter 379160: Loss = 0.012093869037926197, lr = [1.25e-05] +[2024-05-25 20:30:39,495] - INFO: Epoch 7584/9999, Iter 379180: Loss = 0.011727441102266312, lr = [1.25e-05] +[2024-05-25 20:31:08,784] - INFO: Epoch 7585/9999, Iter 379200: Loss = 0.0052108620293438435, lr = [1.25e-05] +[2024-05-25 20:31:37,059] - INFO: Epoch 7585/9999, Iter 379220: Loss = 0.010743693448603153, lr = [1.25e-05] +[2024-05-25 20:32:05,443] - INFO: Epoch 7585/9999, Iter 379240: Loss = 0.012433190830051899, lr = [1.25e-05] +[2024-05-25 20:32:17,230] - INFO: Evaluate at epoch 7585! +[2024-05-25 20:32:21,317] - INFO: Eval PSNR (max): 38.099 (7325) SSIM (max): 0.9612 (7315) +[2024-05-25 20:32:21,318] - INFO: Eval PSNR (current): 38.091 (7585) SSIM (current): 0.9612 (7585) +[2024-05-25 20:32:21,318] - INFO: Evaluation over. +[2024-05-25 20:32:40,759] - INFO: Epoch 7586/9999, Iter 379260: Loss = 0.01053379662334919, lr = [1.25e-05] +[2024-05-25 20:33:08,514] - INFO: Epoch 7586/9999, Iter 379280: Loss = 0.013514697551727295, lr = [1.25e-05] +[2024-05-25 20:33:36,484] - INFO: Epoch 7587/9999, Iter 379300: Loss = 0.016218099743127823, lr = [1.25e-05] +[2024-05-25 20:34:04,409] - INFO: Epoch 7587/9999, Iter 379320: Loss = 0.010084443725645542, lr = [1.25e-05] +[2024-05-25 20:34:32,024] - INFO: Epoch 7587/9999, Iter 379340: Loss = 0.011006748303771019, lr = [1.25e-05] +[2024-05-25 20:35:01,510] - INFO: Epoch 7588/9999, Iter 379360: Loss = 0.014595948159694672, lr = [1.25e-05] +[2024-05-25 20:35:28,151] - INFO: Epoch 7588/9999, Iter 379380: Loss = 0.013048067688941956, lr = [1.25e-05] +[2024-05-25 20:35:56,835] - INFO: Epoch 7589/9999, Iter 379400: Loss = 0.016848649829626083, lr = [1.25e-05] +[2024-05-25 20:36:25,865] - INFO: Epoch 7589/9999, Iter 379420: Loss = 0.01935785822570324, lr = [1.25e-05] +[2024-05-25 20:36:53,886] - INFO: Epoch 7589/9999, Iter 379440: Loss = 0.009814772754907608, lr = [1.25e-05] +[2024-05-25 20:37:22,345] - INFO: Epoch 7590/9999, Iter 379460: Loss = 0.014748294837772846, lr = [1.25e-05] +[2024-05-25 20:37:50,172] - INFO: Epoch 7590/9999, Iter 379480: Loss = 0.01034202054142952, lr = [1.25e-05] +[2024-05-25 20:38:16,208] - INFO: Evaluate at epoch 7590! +[2024-05-25 20:38:20,302] - INFO: Eval PSNR (max): 38.099 (7325) SSIM (max): 0.9612 (7315) +[2024-05-25 20:38:20,302] - INFO: Eval PSNR (current): 38.079 (7590) SSIM (current): 0.9611 (7590) +[2024-05-25 20:38:20,302] - INFO: Evaluation over. +[2024-05-25 20:38:24,643] - INFO: Epoch 7591/9999, Iter 379500: Loss = 0.012766439467668533, lr = [1.25e-05] +[2024-05-25 20:38:52,533] - INFO: Epoch 7591/9999, Iter 379520: Loss = 0.013224313035607338, lr = [1.25e-05] +[2024-05-25 20:39:19,651] - INFO: Epoch 7591/9999, Iter 379540: Loss = 0.011280923150479794, lr = [1.25e-05] +[2024-05-25 20:39:48,557] - INFO: Epoch 7592/9999, Iter 379560: Loss = 0.010622655972838402, lr = [1.25e-05] +[2024-05-25 20:40:16,519] - INFO: Epoch 7592/9999, Iter 379580: Loss = 0.009093956090509892, lr = [1.25e-05] +[2024-05-25 20:40:45,284] - INFO: Epoch 7593/9999, Iter 379600: Loss = 0.009028044529259205, lr = [1.25e-05] +[2024-05-25 20:41:13,661] - INFO: Epoch 7593/9999, Iter 379620: Loss = 0.011677251197397709, lr = [1.25e-05] +[2024-05-25 20:41:41,798] - INFO: Epoch 7593/9999, Iter 379640: Loss = 0.015224697068333626, lr = [1.25e-05] +[2024-05-25 20:42:10,561] - INFO: Epoch 7594/9999, Iter 379660: Loss = 0.016112664714455605, lr = [1.25e-05] +[2024-05-25 20:42:38,304] - INFO: Epoch 7594/9999, Iter 379680: Loss = 0.015237400308251381, lr = [1.25e-05] +[2024-05-25 20:43:07,044] - INFO: Epoch 7595/9999, Iter 379700: Loss = 0.010645398870110512, lr = [1.25e-05] +[2024-05-25 20:43:34,871] - INFO: Epoch 7595/9999, Iter 379720: Loss = 0.012959487736225128, lr = [1.25e-05] +[2024-05-25 20:44:03,394] - INFO: Epoch 7595/9999, Iter 379740: Loss = 0.013426551595330238, lr = [1.25e-05] +[2024-05-25 20:44:15,272] - INFO: Evaluate at epoch 7595! +[2024-05-25 20:44:19,364] - INFO: Eval PSNR (max): 38.099 (7325) SSIM (max): 0.9612 (7315) +[2024-05-25 20:44:19,364] - INFO: Eval PSNR (current): 38.087 (7595) SSIM (current): 0.9611 (7595) +[2024-05-25 20:44:19,364] - INFO: Evaluation over. +[2024-05-25 20:44:37,845] - INFO: Epoch 7596/9999, Iter 379760: Loss = 0.010182385332882404, lr = [1.25e-05] +[2024-05-25 20:45:06,479] - INFO: Epoch 7596/9999, Iter 379780: Loss = 0.014903736300766468, lr = [1.25e-05] +[2024-05-25 20:45:35,716] - INFO: Epoch 7597/9999, Iter 379800: Loss = 0.012178132310509682, lr = [1.25e-05] +[2024-05-25 20:46:03,935] - INFO: Epoch 7597/9999, Iter 379820: Loss = 0.010808659717440605, lr = [1.25e-05] +[2024-05-25 20:46:31,623] - INFO: Epoch 7597/9999, Iter 379840: Loss = 0.023374496027827263, lr = [1.25e-05] +[2024-05-25 20:47:00,989] - INFO: Epoch 7598/9999, Iter 379860: Loss = 0.01661262847483158, lr = [1.25e-05] +[2024-05-25 20:47:28,941] - INFO: Epoch 7598/9999, Iter 379880: Loss = 0.013750100508332253, lr = [1.25e-05] +[2024-05-25 20:47:57,440] - INFO: Epoch 7599/9999, Iter 379900: Loss = 0.017032373696565628, lr = [1.25e-05] +[2024-05-25 20:48:24,566] - INFO: Epoch 7599/9999, Iter 379920: Loss = 0.012883598916232586, lr = [1.25e-05] +[2024-05-25 20:48:51,746] - INFO: Epoch 7599/9999, Iter 379940: Loss = 0.014383677393198013, lr = [1.25e-05] +[2024-05-25 20:49:21,475] - INFO: Epoch 7600/9999, Iter 379960: Loss = 0.015275228768587112, lr = [1.25e-05] +[2024-05-25 20:49:48,814] - INFO: Epoch 7600/9999, Iter 379980: Loss = 0.016990968957543373, lr = [1.25e-05] +[2024-05-25 20:50:15,106] - INFO: Evaluate at epoch 7600! +[2024-05-25 20:50:19,203] - INFO: Eval PSNR (max): 38.099 (7325) SSIM (max): 0.9612 (7315) +[2024-05-25 20:50:19,203] - INFO: Eval PSNR (current): 38.083 (7600) SSIM (current): 0.9611 (7600) +[2024-05-25 20:50:19,204] - INFO: Evaluation over. +[2024-05-25 20:50:24,182] - INFO: Epoch 7601/9999, Iter 380000: Loss = 0.009804447181522846, lr = [1.25e-05] +[2024-05-25 20:50:52,933] - INFO: Epoch 7601/9999, Iter 380020: Loss = 0.011743300594389439, lr = [1.25e-05] +[2024-05-25 20:51:21,163] - INFO: Epoch 7601/9999, Iter 380040: Loss = 0.013816356658935547, lr = [1.25e-05] +[2024-05-25 20:51:49,826] - INFO: Epoch 7602/9999, Iter 380060: Loss = 0.010542350821197033, lr = [1.25e-05] +[2024-05-25 20:52:17,649] - INFO: Epoch 7602/9999, Iter 380080: Loss = 0.011891740374267101, lr = [1.25e-05] +[2024-05-25 20:52:46,600] - INFO: Epoch 7603/9999, Iter 380100: Loss = 0.012915713712573051, lr = [1.25e-05] +[2024-05-25 20:53:14,307] - INFO: Epoch 7603/9999, Iter 380120: Loss = 0.010070521384477615, lr = [1.25e-05] +[2024-05-25 20:53:42,800] - INFO: Epoch 7603/9999, Iter 380140: Loss = 0.012186659500002861, lr = [1.25e-05] +[2024-05-25 20:54:11,361] - INFO: Epoch 7604/9999, Iter 380160: Loss = 0.010652941651642323, lr = [1.25e-05] +[2024-05-25 20:54:39,491] - INFO: Epoch 7604/9999, Iter 380180: Loss = 0.01174870040267706, lr = [1.25e-05] +[2024-05-25 20:55:08,143] - INFO: Epoch 7605/9999, Iter 380200: Loss = 0.01156068965792656, lr = [1.25e-05] +[2024-05-25 20:55:36,096] - INFO: Epoch 7605/9999, Iter 380220: Loss = 0.014049351215362549, lr = [1.25e-05] +[2024-05-25 20:56:04,006] - INFO: Epoch 7605/9999, Iter 380240: Loss = 0.01709624193608761, lr = [1.25e-05] +[2024-05-25 20:56:16,439] - INFO: Evaluate at epoch 7605! +[2024-05-25 20:56:20,528] - INFO: Eval PSNR (max): 38.099 (7325) SSIM (max): 0.9612 (7315) +[2024-05-25 20:56:20,528] - INFO: Eval PSNR (current): 38.076 (7605) SSIM (current): 0.9611 (7605) +[2024-05-25 20:56:20,528] - INFO: Evaluation over. +[2024-05-25 20:56:39,233] - INFO: Epoch 7606/9999, Iter 380260: Loss = 0.014987671747803688, lr = [1.25e-05] +[2024-05-25 20:57:07,095] - INFO: Epoch 7606/9999, Iter 380280: Loss = 0.011253408156335354, lr = [1.25e-05] +[2024-05-25 20:57:36,371] - INFO: Epoch 7607/9999, Iter 380300: Loss = 0.020064357668161392, lr = [1.25e-05] +[2024-05-25 20:58:04,427] - INFO: Epoch 7607/9999, Iter 380320: Loss = 0.013268907554447651, lr = [1.25e-05] +[2024-05-25 20:58:32,230] - INFO: Epoch 7607/9999, Iter 380340: Loss = 0.014487335458397865, lr = [1.25e-05] +[2024-05-25 20:59:01,165] - INFO: Epoch 7608/9999, Iter 380360: Loss = 0.016414659097790718, lr = [1.25e-05] +[2024-05-25 20:59:29,224] - INFO: Epoch 7608/9999, Iter 380380: Loss = 0.01647675409913063, lr = [1.25e-05] +[2024-05-25 20:59:58,456] - INFO: Epoch 7609/9999, Iter 380400: Loss = 0.013127350248396397, lr = [1.25e-05] +[2024-05-25 21:00:25,323] - INFO: Epoch 7609/9999, Iter 380420: Loss = 0.011517969891428947, lr = [1.25e-05] +[2024-05-25 21:00:52,973] - INFO: Epoch 7609/9999, Iter 380440: Loss = 0.010123868472874165, lr = [1.25e-05] +[2024-05-25 21:01:21,573] - INFO: Epoch 7610/9999, Iter 380460: Loss = 0.010767672210931778, lr = [1.25e-05] +[2024-05-25 21:01:49,454] - INFO: Epoch 7610/9999, Iter 380480: Loss = 0.016314778476953506, lr = [1.25e-05] +[2024-05-25 21:02:16,194] - INFO: Evaluate at epoch 7610! +[2024-05-25 21:02:20,282] - INFO: Eval PSNR (max): 38.099 (7325) SSIM (max): 0.9612 (7315) +[2024-05-25 21:02:20,282] - INFO: Eval PSNR (current): 38.087 (7610) SSIM (current): 0.9611 (7610) +[2024-05-25 21:02:20,282] - INFO: Evaluation over. +[2024-05-25 21:02:24,883] - INFO: Epoch 7611/9999, Iter 380500: Loss = 0.010363850742578506, lr = [1.25e-05] +[2024-05-25 21:02:52,611] - INFO: Epoch 7611/9999, Iter 380520: Loss = 0.010038872249424458, lr = [1.25e-05] +[2024-05-25 21:03:20,938] - INFO: Epoch 7611/9999, Iter 380540: Loss = 0.008567223325371742, lr = [1.25e-05] +[2024-05-25 21:03:50,515] - INFO: Epoch 7612/9999, Iter 380560: Loss = 0.016193822026252747, lr = [1.25e-05] +[2024-05-25 21:04:18,239] - INFO: Epoch 7612/9999, Iter 380580: Loss = 0.013851024210453033, lr = [1.25e-05] +[2024-05-25 21:04:46,688] - INFO: Epoch 7613/9999, Iter 380600: Loss = 0.009433339349925518, lr = [1.25e-05] +[2024-05-25 21:05:13,859] - INFO: Epoch 7613/9999, Iter 380620: Loss = 0.016438039019703865, lr = [1.25e-05] +[2024-05-25 21:05:42,511] - INFO: Epoch 7613/9999, Iter 380640: Loss = 0.011348070576786995, lr = [1.25e-05] +[2024-05-25 21:06:11,235] - INFO: Epoch 7614/9999, Iter 380660: Loss = 0.012815610505640507, lr = [1.25e-05] +[2024-05-25 21:06:39,325] - INFO: Epoch 7614/9999, Iter 380680: Loss = 0.013272274285554886, lr = [1.25e-05] +[2024-05-25 21:07:08,399] - INFO: Epoch 7615/9999, Iter 380700: Loss = 0.01548080239444971, lr = [1.25e-05] +[2024-05-25 21:07:36,022] - INFO: Epoch 7615/9999, Iter 380720: Loss = 0.013811064884066582, lr = [1.25e-05] +[2024-05-25 21:08:02,559] - INFO: Epoch 7615/9999, Iter 380740: Loss = 0.013536738231778145, lr = [1.25e-05] +[2024-05-25 21:08:14,870] - INFO: Evaluate at epoch 7615! +[2024-05-25 21:08:18,958] - INFO: Eval PSNR (max): 38.099 (7325) SSIM (max): 0.9612 (7315) +[2024-05-25 21:08:18,958] - INFO: Eval PSNR (current): 38.092 (7615) SSIM (current): 0.9611 (7615) +[2024-05-25 21:08:18,959] - INFO: Evaluation over. +[2024-05-25 21:08:36,967] - INFO: Epoch 7616/9999, Iter 380760: Loss = 0.010082827880978584, lr = [1.25e-05] +[2024-05-25 21:09:04,448] - INFO: Epoch 7616/9999, Iter 380780: Loss = 0.010337268933653831, lr = [1.25e-05] +[2024-05-25 21:09:32,972] - INFO: Epoch 7617/9999, Iter 380800: Loss = 0.017490914091467857, lr = [1.25e-05] +[2024-05-25 21:10:00,333] - INFO: Epoch 7617/9999, Iter 380820: Loss = 0.00686977244913578, lr = [1.25e-05] +[2024-05-25 21:10:27,576] - INFO: Epoch 7617/9999, Iter 380840: Loss = 0.01000133901834488, lr = [1.25e-05] +[2024-05-25 21:10:56,455] - INFO: Epoch 7618/9999, Iter 380860: Loss = 0.009926887229084969, lr = [1.25e-05] +[2024-05-25 21:11:23,231] - INFO: Epoch 7618/9999, Iter 380880: Loss = 0.01674146205186844, lr = [1.25e-05] +[2024-05-25 21:11:52,405] - INFO: Epoch 7619/9999, Iter 380900: Loss = 0.012468216009438038, lr = [1.25e-05] +[2024-05-25 21:12:20,991] - INFO: Epoch 7619/9999, Iter 380920: Loss = 0.01530392561107874, lr = [1.25e-05] +[2024-05-25 21:12:49,323] - INFO: Epoch 7619/9999, Iter 380940: Loss = 0.010480036027729511, lr = [1.25e-05] +[2024-05-25 21:13:18,402] - INFO: Epoch 7620/9999, Iter 380960: Loss = 0.01376915443688631, lr = [1.25e-05] +[2024-05-25 21:13:46,001] - INFO: Epoch 7620/9999, Iter 380980: Loss = 0.015750808641314507, lr = [1.25e-05] +[2024-05-25 21:14:12,203] - INFO: Evaluate at epoch 7620! +[2024-05-25 21:14:16,293] - INFO: Eval PSNR (max): 38.099 (7325) SSIM (max): 0.9612 (7315) +[2024-05-25 21:14:16,293] - INFO: Eval PSNR (current): 38.083 (7620) SSIM (current): 0.9611 (7620) +[2024-05-25 21:14:16,293] - INFO: Evaluation over. +[2024-05-25 21:14:20,977] - INFO: Epoch 7621/9999, Iter 381000: Loss = 0.013076537288725376, lr = [1.25e-05] +[2024-05-25 21:14:48,923] - INFO: Epoch 7621/9999, Iter 381020: Loss = 0.009440671652555466, lr = [1.25e-05] +[2024-05-25 21:15:15,822] - INFO: Epoch 7621/9999, Iter 381040: Loss = 0.014805654995143414, lr = [1.25e-05] +[2024-05-25 21:15:45,136] - INFO: Epoch 7622/9999, Iter 381060: Loss = 0.012249890714883804, lr = [1.25e-05] +[2024-05-25 21:16:13,587] - INFO: Epoch 7622/9999, Iter 381080: Loss = 0.008752075023949146, lr = [1.25e-05] +[2024-05-25 21:16:42,568] - INFO: Epoch 7623/9999, Iter 381100: Loss = 0.015645746141672134, lr = [1.25e-05] +[2024-05-25 21:17:10,688] - INFO: Epoch 7623/9999, Iter 381120: Loss = 0.011507111601531506, lr = [1.25e-05] +[2024-05-25 21:17:38,616] - INFO: Epoch 7623/9999, Iter 381140: Loss = 0.013525629416108131, lr = [1.25e-05] +[2024-05-25 21:18:07,601] - INFO: Epoch 7624/9999, Iter 381160: Loss = 0.009784538298845291, lr = [1.25e-05] +[2024-05-25 21:18:34,847] - INFO: Epoch 7624/9999, Iter 381180: Loss = 0.017464015632867813, lr = [1.25e-05] +[2024-05-25 21:19:03,459] - INFO: Epoch 7625/9999, Iter 381200: Loss = 0.013337839394807816, lr = [1.25e-05] +[2024-05-25 21:19:30,203] - INFO: Epoch 7625/9999, Iter 381220: Loss = 0.015275197103619576, lr = [1.25e-05] +[2024-05-25 21:19:58,331] - INFO: Epoch 7625/9999, Iter 381240: Loss = 0.012980482541024685, lr = [1.25e-05] +[2024-05-25 21:20:11,001] - INFO: Evaluate at epoch 7625! +[2024-05-25 21:20:15,087] - INFO: Eval PSNR (max): 38.099 (7325) SSIM (max): 0.9612 (7315) +[2024-05-25 21:20:15,087] - INFO: Eval PSNR (current): 38.082 (7625) SSIM (current): 0.9611 (7625) +[2024-05-25 21:20:15,087] - INFO: Evaluation over. +[2024-05-25 21:20:33,856] - INFO: Epoch 7626/9999, Iter 381260: Loss = 0.016320232301950455, lr = [1.25e-05] +[2024-05-25 21:21:00,902] - INFO: Epoch 7626/9999, Iter 381280: Loss = 0.010657924227416515, lr = [1.25e-05] +[2024-05-25 21:21:29,626] - INFO: Epoch 7627/9999, Iter 381300: Loss = 0.010256808251142502, lr = [1.25e-05] +[2024-05-25 21:21:57,367] - INFO: Epoch 7627/9999, Iter 381320: Loss = 0.01469785999506712, lr = [1.25e-05] +[2024-05-25 21:22:24,957] - INFO: Epoch 7627/9999, Iter 381340: Loss = 0.009482448920607567, lr = [1.25e-05] +[2024-05-25 21:22:54,271] - INFO: Epoch 7628/9999, Iter 381360: Loss = 0.00808609090745449, lr = [1.25e-05] +[2024-05-25 21:23:21,604] - INFO: Epoch 7628/9999, Iter 381380: Loss = 0.010590644553303719, lr = [1.25e-05] +[2024-05-25 21:23:50,799] - INFO: Epoch 7629/9999, Iter 381400: Loss = 0.020022260025143623, lr = [1.25e-05] +[2024-05-25 21:24:17,978] - INFO: Epoch 7629/9999, Iter 381420: Loss = 0.009976021014153957, lr = [1.25e-05] +[2024-05-25 21:24:46,039] - INFO: Epoch 7629/9999, Iter 381440: Loss = 0.016663994640111923, lr = [1.25e-05] +[2024-05-25 21:25:15,460] - INFO: Epoch 7630/9999, Iter 381460: Loss = 0.008311940357089043, lr = [1.25e-05] +[2024-05-25 21:25:42,083] - INFO: Epoch 7630/9999, Iter 381480: Loss = 0.015549121424555779, lr = [1.25e-05] +[2024-05-25 21:26:08,221] - INFO: Evaluate at epoch 7630! +[2024-05-25 21:26:12,314] - INFO: Eval PSNR (max): 38.099 (7325) SSIM (max): 0.9612 (7315) +[2024-05-25 21:26:12,315] - INFO: Eval PSNR (current): 38.083 (7630) SSIM (current): 0.9611 (7630) +[2024-05-25 21:26:12,315] - INFO: Evaluation over. +[2024-05-25 21:26:16,870] - INFO: Epoch 7631/9999, Iter 381500: Loss = 0.01282970979809761, lr = [1.25e-05] +[2024-05-25 21:26:45,434] - INFO: Epoch 7631/9999, Iter 381520: Loss = 0.014290736988186836, lr = [1.25e-05] +[2024-05-25 21:27:13,877] - INFO: Epoch 7631/9999, Iter 381540: Loss = 0.01127608586102724, lr = [1.25e-05] +[2024-05-25 21:27:42,414] - INFO: Epoch 7632/9999, Iter 381560: Loss = 0.020123232156038284, lr = [1.25e-05] +[2024-05-25 21:28:09,869] - INFO: Epoch 7632/9999, Iter 381580: Loss = 0.010837451554834843, lr = [1.25e-05] +[2024-05-25 21:28:38,348] - INFO: Epoch 7633/9999, Iter 381600: Loss = 0.011209680698812008, lr = [1.25e-05] +[2024-05-25 21:29:05,535] - INFO: Epoch 7633/9999, Iter 381620: Loss = 0.009466173127293587, lr = [1.25e-05] +[2024-05-25 21:29:32,647] - INFO: Epoch 7633/9999, Iter 381640: Loss = 0.014182905666530132, lr = [1.25e-05] +[2024-05-25 21:30:02,584] - INFO: Epoch 7634/9999, Iter 381660: Loss = 0.014328697696328163, lr = [1.25e-05] +[2024-05-25 21:30:29,211] - INFO: Epoch 7634/9999, Iter 381680: Loss = 0.011139384470880032, lr = [1.25e-05] +[2024-05-25 21:30:57,831] - INFO: Epoch 7635/9999, Iter 381700: Loss = 0.010072643868625164, lr = [1.25e-05] +[2024-05-25 21:31:25,543] - INFO: Epoch 7635/9999, Iter 381720: Loss = 0.0148885203525424, lr = [1.25e-05] +[2024-05-25 21:31:53,599] - INFO: Epoch 7635/9999, Iter 381740: Loss = 0.016466112807393074, lr = [1.25e-05] +[2024-05-25 21:32:06,077] - INFO: Evaluate at epoch 7635! +[2024-05-25 21:32:10,160] - INFO: Eval PSNR (max): 38.099 (7325) SSIM (max): 0.9612 (7315) +[2024-05-25 21:32:10,161] - INFO: Eval PSNR (current): 38.087 (7635) SSIM (current): 0.9611 (7635) +[2024-05-25 21:32:10,161] - INFO: Evaluation over. +[2024-05-25 21:32:28,591] - INFO: Epoch 7636/9999, Iter 381760: Loss = 0.008903906680643559, lr = [1.25e-05] +[2024-05-25 21:32:57,805] - INFO: Epoch 7636/9999, Iter 381780: Loss = 0.014462651684880257, lr = [1.25e-05] +[2024-05-25 21:33:25,910] - INFO: Epoch 7637/9999, Iter 381800: Loss = 0.01305790338665247, lr = [1.25e-05] +[2024-05-25 21:33:53,155] - INFO: Epoch 7637/9999, Iter 381820: Loss = 0.014703052118420601, lr = [1.25e-05] +[2024-05-25 21:34:21,579] - INFO: Epoch 7637/9999, Iter 381840: Loss = 0.007559094578027725, lr = [1.25e-05] +[2024-05-25 21:34:51,051] - INFO: Epoch 7638/9999, Iter 381860: Loss = 0.017012419179081917, lr = [1.25e-05] +[2024-05-25 21:35:17,663] - INFO: Epoch 7638/9999, Iter 381880: Loss = 0.01690770499408245, lr = [1.25e-05] +[2024-05-25 21:35:46,506] - INFO: Epoch 7639/9999, Iter 381900: Loss = 0.010932591743767262, lr = [1.25e-05] +[2024-05-25 21:36:14,585] - INFO: Epoch 7639/9999, Iter 381920: Loss = 0.00845194049179554, lr = [1.25e-05] +[2024-05-25 21:36:41,987] - INFO: Epoch 7639/9999, Iter 381940: Loss = 0.015507666394114494, lr = [1.25e-05] +[2024-05-25 21:37:10,961] - INFO: Epoch 7640/9999, Iter 381960: Loss = 0.009645179845392704, lr = [1.25e-05] +[2024-05-25 21:37:38,007] - INFO: Epoch 7640/9999, Iter 381980: Loss = 0.01780928112566471, lr = [1.25e-05] +[2024-05-25 21:38:04,511] - INFO: Evaluate at epoch 7640! +[2024-05-25 21:38:08,597] - INFO: Eval PSNR (max): 38.099 (7325) SSIM (max): 0.9612 (7315) +[2024-05-25 21:38:08,597] - INFO: Eval PSNR (current): 38.098 (7640) SSIM (current): 0.9611 (7640) +[2024-05-25 21:38:08,598] - INFO: Evaluation over. +[2024-05-25 21:38:13,465] - INFO: Epoch 7641/9999, Iter 382000: Loss = 0.01448830682784319, lr = [1.25e-05] +[2024-05-25 21:38:41,562] - INFO: Epoch 7641/9999, Iter 382020: Loss = 0.012601684778928757, lr = [1.25e-05] +[2024-05-25 21:39:09,075] - INFO: Epoch 7641/9999, Iter 382040: Loss = 0.011631162837147713, lr = [1.25e-05] +[2024-05-25 21:39:37,807] - INFO: Epoch 7642/9999, Iter 382060: Loss = 0.016401251778006554, lr = [1.25e-05] +[2024-05-25 21:40:05,875] - INFO: Epoch 7642/9999, Iter 382080: Loss = 0.01908007636666298, lr = [1.25e-05] +[2024-05-25 21:40:35,020] - INFO: Epoch 7643/9999, Iter 382100: Loss = 0.01320361066609621, lr = [1.25e-05] +[2024-05-25 21:41:02,978] - INFO: Epoch 7643/9999, Iter 382120: Loss = 0.016257822513580322, lr = [1.25e-05] +[2024-05-25 21:41:31,107] - INFO: Epoch 7643/9999, Iter 382140: Loss = 0.012349465861916542, lr = [1.25e-05] +[2024-05-25 21:41:59,688] - INFO: Epoch 7644/9999, Iter 382160: Loss = 0.00973169319331646, lr = [1.25e-05] +[2024-05-25 21:42:27,637] - INFO: Epoch 7644/9999, Iter 382180: Loss = 0.016406694427132607, lr = [1.25e-05] +[2024-05-25 21:42:56,819] - INFO: Epoch 7645/9999, Iter 382200: Loss = 0.013929866254329681, lr = [1.25e-05] +[2024-05-25 21:43:24,395] - INFO: Epoch 7645/9999, Iter 382220: Loss = 0.009864059276878834, lr = [1.25e-05] +[2024-05-25 21:43:51,942] - INFO: Epoch 7645/9999, Iter 382240: Loss = 0.012978492304682732, lr = [1.25e-05] +[2024-05-25 21:44:04,837] - INFO: Evaluate at epoch 7645! +[2024-05-25 21:44:08,921] - INFO: Eval PSNR (max): 38.099 (7325) SSIM (max): 0.9612 (7315) +[2024-05-25 21:44:08,921] - INFO: Eval PSNR (current): 38.089 (7645) SSIM (current): 0.9611 (7645) +[2024-05-25 21:44:08,922] - INFO: Evaluation over. +[2024-05-25 21:44:27,689] - INFO: Epoch 7646/9999, Iter 382260: Loss = 0.014128451235592365, lr = [1.25e-05] +[2024-05-25 21:44:55,612] - INFO: Epoch 7646/9999, Iter 382280: Loss = 0.010057341307401657, lr = [1.25e-05] +[2024-05-25 21:45:24,723] - INFO: Epoch 7647/9999, Iter 382300: Loss = 0.009228462353348732, lr = [1.25e-05] +[2024-05-25 21:45:52,985] - INFO: Epoch 7647/9999, Iter 382320: Loss = 0.01200930867344141, lr = [1.25e-05] +[2024-05-25 21:46:20,913] - INFO: Epoch 7647/9999, Iter 382340: Loss = 0.0138957304880023, lr = [1.25e-05] +[2024-05-25 21:46:49,693] - INFO: Epoch 7648/9999, Iter 382360: Loss = 0.009851680137217045, lr = [1.25e-05] +[2024-05-25 21:47:18,117] - INFO: Epoch 7648/9999, Iter 382380: Loss = 0.018483351916074753, lr = [1.25e-05] +[2024-05-25 21:47:47,147] - INFO: Epoch 7649/9999, Iter 382400: Loss = 0.014104552567005157, lr = [1.25e-05] +[2024-05-25 21:48:13,674] - INFO: Epoch 7649/9999, Iter 382420: Loss = 0.015141029842197895, lr = [1.25e-05] +[2024-05-25 21:48:42,011] - INFO: Epoch 7649/9999, Iter 382440: Loss = 0.015540448017418385, lr = [1.25e-05] +[2024-05-25 21:49:11,139] - INFO: Epoch 7650/9999, Iter 382460: Loss = 0.012065345421433449, lr = [1.25e-05] +[2024-05-25 21:49:38,044] - INFO: Epoch 7650/9999, Iter 382480: Loss = 0.013885569758713245, lr = [1.25e-05] +[2024-05-25 21:50:04,072] - INFO: Evaluate at epoch 7650! +[2024-05-25 21:50:08,152] - INFO: Eval PSNR (max): 38.099 (7325) SSIM (max): 0.9612 (7315) +[2024-05-25 21:50:08,152] - INFO: Eval PSNR (current): 38.081 (7650) SSIM (current): 0.9611 (7650) +[2024-05-25 21:50:08,152] - INFO: Evaluation over. +[2024-05-25 21:50:12,691] - INFO: Epoch 7651/9999, Iter 382500: Loss = 0.010969148017466068, lr = [1.25e-05] +[2024-05-25 21:50:40,577] - INFO: Epoch 7651/9999, Iter 382520: Loss = 0.012524274177849293, lr = [1.25e-05] +[2024-05-25 21:51:08,527] - INFO: Epoch 7651/9999, Iter 382540: Loss = 0.010661781765520573, lr = [1.25e-05] +[2024-05-25 21:51:38,089] - INFO: Epoch 7652/9999, Iter 382560: Loss = 0.007375318091362715, lr = [1.25e-05] +[2024-05-25 21:52:06,623] - INFO: Epoch 7652/9999, Iter 382580: Loss = 0.011644870974123478, lr = [1.25e-05] +[2024-05-25 21:52:35,347] - INFO: Epoch 7653/9999, Iter 382600: Loss = 0.014478491619229317, lr = [1.25e-05] +[2024-05-25 21:53:03,708] - INFO: Epoch 7653/9999, Iter 382620: Loss = 0.011157650500535965, lr = [1.25e-05] +[2024-05-25 21:53:31,409] - INFO: Epoch 7653/9999, Iter 382640: Loss = 0.011407674290239811, lr = [1.25e-05] +[2024-05-25 21:53:59,683] - INFO: Epoch 7654/9999, Iter 382660: Loss = 0.009481573477387428, lr = [1.25e-05] +[2024-05-25 21:54:26,799] - INFO: Epoch 7654/9999, Iter 382680: Loss = 0.017493341118097305, lr = [1.25e-05] +[2024-05-25 21:54:55,558] - INFO: Epoch 7655/9999, Iter 382700: Loss = 0.010285449214279652, lr = [1.25e-05] +[2024-05-25 21:55:22,662] - INFO: Epoch 7655/9999, Iter 382720: Loss = 0.00978278461843729, lr = [1.25e-05] +[2024-05-25 21:55:50,439] - INFO: Epoch 7655/9999, Iter 382740: Loss = 0.012362883426249027, lr = [1.25e-05] +[2024-05-25 21:56:03,031] - INFO: Evaluate at epoch 7655! +[2024-05-25 21:56:07,120] - INFO: Eval PSNR (max): 38.099 (7325) SSIM (max): 0.9612 (7315) +[2024-05-25 21:56:07,120] - INFO: Eval PSNR (current): 38.086 (7655) SSIM (current): 0.9611 (7655) +[2024-05-25 21:56:07,120] - INFO: Evaluation over. +[2024-05-25 21:56:25,749] - INFO: Epoch 7656/9999, Iter 382760: Loss = 0.011136911809444427, lr = [1.25e-05] +[2024-05-25 21:56:54,030] - INFO: Epoch 7656/9999, Iter 382780: Loss = 0.012312253005802631, lr = [1.25e-05] +[2024-05-25 21:57:22,844] - INFO: Epoch 7657/9999, Iter 382800: Loss = 0.008105834014713764, lr = [1.25e-05] +[2024-05-25 21:57:49,721] - INFO: Epoch 7657/9999, Iter 382820: Loss = 0.013092155568301678, lr = [1.25e-05] +[2024-05-25 21:58:17,695] - INFO: Epoch 7657/9999, Iter 382840: Loss = 0.010479775257408619, lr = [1.25e-05] +[2024-05-25 21:58:47,289] - INFO: Epoch 7658/9999, Iter 382860: Loss = 0.011637789197266102, lr = [1.25e-05] +[2024-05-25 21:59:15,805] - INFO: Epoch 7658/9999, Iter 382880: Loss = 0.00707173440605402, lr = [1.25e-05] +[2024-05-25 21:59:44,398] - INFO: Epoch 7659/9999, Iter 382900: Loss = 0.011942879296839237, lr = [1.25e-05] +[2024-05-25 22:00:12,467] - INFO: Epoch 7659/9999, Iter 382920: Loss = 0.020534034818410873, lr = [1.25e-05] +[2024-05-25 22:00:40,439] - INFO: Epoch 7659/9999, Iter 382940: Loss = 0.005572350695729256, lr = [1.25e-05] +[2024-05-25 22:01:09,550] - INFO: Epoch 7660/9999, Iter 382960: Loss = 0.008379927836358547, lr = [1.25e-05] +[2024-05-25 22:01:37,259] - INFO: Epoch 7660/9999, Iter 382980: Loss = 0.010184885002672672, lr = [1.25e-05] +[2024-05-25 22:02:03,285] - INFO: Evaluate at epoch 7660! +[2024-05-25 22:02:07,360] - INFO: Eval PSNR (max): 38.099 (7325) SSIM (max): 0.9612 (7315) +[2024-05-25 22:02:07,360] - INFO: Eval PSNR (current): 38.093 (7660) SSIM (current): 0.9611 (7660) +[2024-05-25 22:02:07,360] - INFO: Evaluation over. +[2024-05-25 22:02:11,779] - INFO: Epoch 7661/9999, Iter 383000: Loss = 0.015668585896492004, lr = [1.25e-05] +[2024-05-25 22:02:38,615] - INFO: Epoch 7661/9999, Iter 383020: Loss = 0.008903956972062588, lr = [1.25e-05] +[2024-05-25 22:03:05,555] - INFO: Epoch 7661/9999, Iter 383040: Loss = 0.013199808076024055, lr = [1.25e-05] +[2024-05-25 22:03:34,735] - INFO: Epoch 7662/9999, Iter 383060: Loss = 0.01125191431492567, lr = [1.25e-05] +[2024-05-25 22:04:02,751] - INFO: Epoch 7662/9999, Iter 383080: Loss = 0.011685144156217575, lr = [1.25e-05] +[2024-05-25 22:04:31,776] - INFO: Epoch 7663/9999, Iter 383100: Loss = 0.014999127015471458, lr = [1.25e-05] +[2024-05-25 22:05:00,421] - INFO: Epoch 7663/9999, Iter 383120: Loss = 0.010661432519555092, lr = [1.25e-05] +[2024-05-25 22:05:28,275] - INFO: Epoch 7663/9999, Iter 383140: Loss = 0.012211546301841736, lr = [1.25e-05] +[2024-05-25 22:05:56,209] - INFO: Epoch 7664/9999, Iter 383160: Loss = 0.008431652560830116, lr = [1.25e-05] +[2024-05-25 22:06:23,899] - INFO: Epoch 7664/9999, Iter 383180: Loss = 0.008673001080751419, lr = [1.25e-05] +[2024-05-25 22:06:52,962] - INFO: Epoch 7665/9999, Iter 383200: Loss = 0.021707667037844658, lr = [1.25e-05] +[2024-05-25 22:07:21,247] - INFO: Epoch 7665/9999, Iter 383220: Loss = 0.01137356087565422, lr = [1.25e-05] +[2024-05-25 22:07:48,719] - INFO: Epoch 7665/9999, Iter 383240: Loss = 0.00908522680401802, lr = [1.25e-05] +[2024-05-25 22:08:01,021] - INFO: Evaluate at epoch 7665! +[2024-05-25 22:08:05,050] - INFO: Eval PSNR (max): 38.099 (7325) SSIM (max): 0.9612 (7315) +[2024-05-25 22:08:05,050] - INFO: Eval PSNR (current): 38.092 (7665) SSIM (current): 0.9611 (7665) +[2024-05-25 22:08:05,050] - INFO: Evaluation over. +[2024-05-25 22:08:23,839] - INFO: Epoch 7666/9999, Iter 383260: Loss = 0.012458526529371738, lr = [1.25e-05] +[2024-05-25 22:08:52,148] - INFO: Epoch 7666/9999, Iter 383280: Loss = 0.019709555432200432, lr = [1.25e-05] +[2024-05-25 22:09:20,227] - INFO: Epoch 7667/9999, Iter 383300: Loss = 0.010145504958927631, lr = [1.25e-05] +[2024-05-25 22:09:47,820] - INFO: Epoch 7667/9999, Iter 383320: Loss = 0.016188737004995346, lr = [1.25e-05] +[2024-05-25 22:10:14,677] - INFO: Epoch 7667/9999, Iter 383340: Loss = 0.01786690205335617, lr = [1.25e-05] +[2024-05-25 22:10:44,238] - INFO: Epoch 7668/9999, Iter 383360: Loss = 0.009387433528900146, lr = [1.25e-05] +[2024-05-25 22:11:11,976] - INFO: Epoch 7668/9999, Iter 383380: Loss = 0.013856143690645695, lr = [1.25e-05] +[2024-05-25 22:11:41,323] - INFO: Epoch 7669/9999, Iter 383400: Loss = 0.011701141484081745, lr = [1.25e-05] +[2024-05-25 22:12:08,927] - INFO: Epoch 7669/9999, Iter 383420: Loss = 0.008801414631307125, lr = [1.25e-05] +[2024-05-25 22:12:37,053] - INFO: Epoch 7669/9999, Iter 383440: Loss = 0.011482364498078823, lr = [1.25e-05] +[2024-05-25 22:13:06,391] - INFO: Epoch 7670/9999, Iter 383460: Loss = 0.010682682506740093, lr = [1.25e-05] +[2024-05-25 22:13:34,900] - INFO: Epoch 7670/9999, Iter 383480: Loss = 0.011029389686882496, lr = [1.25e-05] +[2024-05-25 22:14:00,580] - INFO: Evaluate at epoch 7670! +[2024-05-25 22:14:04,671] - INFO: Eval PSNR (max): 38.099 (7325) SSIM (max): 0.9612 (7315) +[2024-05-25 22:14:04,671] - INFO: Eval PSNR (current): 38.087 (7670) SSIM (current): 0.9611 (7670) +[2024-05-25 22:14:04,671] - INFO: Evaluation over. +[2024-05-25 22:14:09,520] - INFO: Epoch 7671/9999, Iter 383500: Loss = 0.015019123442471027, lr = [1.25e-05] +[2024-05-25 22:14:37,168] - INFO: Epoch 7671/9999, Iter 383520: Loss = 0.009519647806882858, lr = [1.25e-05] +[2024-05-25 22:15:04,199] - INFO: Epoch 7671/9999, Iter 383540: Loss = 0.009762142784893513, lr = [1.25e-05] +[2024-05-25 22:15:32,587] - INFO: Epoch 7672/9999, Iter 383560: Loss = 0.009440571069717407, lr = [1.25e-05] +[2024-05-25 22:16:00,533] - INFO: Epoch 7672/9999, Iter 383580: Loss = 0.012463406659662724, lr = [1.25e-05] +[2024-05-25 22:16:29,793] - INFO: Epoch 7673/9999, Iter 383600: Loss = 0.01058684941381216, lr = [1.25e-05] +[2024-05-25 22:16:57,083] - INFO: Epoch 7673/9999, Iter 383620: Loss = 0.01634603925049305, lr = [1.25e-05] +[2024-05-25 22:17:24,594] - INFO: Epoch 7673/9999, Iter 383640: Loss = 0.01451920997351408, lr = [1.25e-05] +[2024-05-25 22:17:53,964] - INFO: Epoch 7674/9999, Iter 383660: Loss = 0.009875467978417873, lr = [1.25e-05] +[2024-05-25 22:18:21,839] - INFO: Epoch 7674/9999, Iter 383680: Loss = 0.007380213122814894, lr = [1.25e-05] +[2024-05-25 22:18:51,058] - INFO: Epoch 7675/9999, Iter 383700: Loss = 0.010214410722255707, lr = [1.25e-05] +[2024-05-25 22:19:18,663] - INFO: Epoch 7675/9999, Iter 383720: Loss = 0.01775144226849079, lr = [1.25e-05] +[2024-05-25 22:19:46,639] - INFO: Epoch 7675/9999, Iter 383740: Loss = 0.01343308575451374, lr = [1.25e-05] +[2024-05-25 22:19:58,895] - INFO: Evaluate at epoch 7675! +[2024-05-25 22:20:02,977] - INFO: Eval PSNR (max): 38.099 (7325) SSIM (max): 0.9612 (7315) +[2024-05-25 22:20:02,977] - INFO: Eval PSNR (current): 38.080 (7675) SSIM (current): 0.9611 (7675) +[2024-05-25 22:20:02,977] - INFO: Evaluation over. +[2024-05-25 22:20:21,217] - INFO: Epoch 7676/9999, Iter 383760: Loss = 0.012723320163786411, lr = [1.25e-05] +[2024-05-25 22:20:48,365] - INFO: Epoch 7676/9999, Iter 383780: Loss = 0.011329549364745617, lr = [1.25e-05] +[2024-05-25 22:21:16,575] - INFO: Epoch 7677/9999, Iter 383800: Loss = 0.009755557402968407, lr = [1.25e-05] +[2024-05-25 22:21:43,580] - INFO: Epoch 7677/9999, Iter 383820: Loss = 0.01658293977379799, lr = [1.25e-05] +[2024-05-25 22:22:10,275] - INFO: Epoch 7677/9999, Iter 383840: Loss = 0.019745804369449615, lr = [1.25e-05] +[2024-05-25 22:22:40,231] - INFO: Epoch 7678/9999, Iter 383860: Loss = 0.01402148324996233, lr = [1.25e-05] +[2024-05-25 22:23:08,452] - INFO: Epoch 7678/9999, Iter 383880: Loss = 0.012662373483181, lr = [1.25e-05] +[2024-05-25 22:23:37,516] - INFO: Epoch 7679/9999, Iter 383900: Loss = 0.01692693866789341, lr = [1.25e-05] +[2024-05-25 22:24:04,243] - INFO: Epoch 7679/9999, Iter 383920: Loss = 0.009496371261775494, lr = [1.25e-05] +[2024-05-25 22:24:31,585] - INFO: Epoch 7679/9999, Iter 383940: Loss = 0.008035567589104176, lr = [1.25e-05] +[2024-05-25 22:25:00,596] - INFO: Epoch 7680/9999, Iter 383960: Loss = 0.008061977103352547, lr = [1.25e-05] +[2024-05-25 22:25:28,043] - INFO: Epoch 7680/9999, Iter 383980: Loss = 0.011524693109095097, lr = [1.25e-05] +[2024-05-25 22:25:54,170] - INFO: Evaluate at epoch 7680! +[2024-05-25 22:25:58,254] - INFO: Eval PSNR (max): 38.099 (7325) SSIM (max): 0.9612 (7315) +[2024-05-25 22:25:58,254] - INFO: Eval PSNR (current): 38.079 (7680) SSIM (current): 0.9611 (7680) +[2024-05-25 22:25:58,255] - INFO: Evaluation over. +[2024-05-25 22:26:02,928] - INFO: Epoch 7681/9999, Iter 384000: Loss = 0.00846023391932249, lr = [1.25e-05] +[2024-05-25 22:26:29,683] - INFO: Epoch 7681/9999, Iter 384020: Loss = 0.01558639109134674, lr = [1.25e-05] +[2024-05-25 22:26:57,426] - INFO: Epoch 7681/9999, Iter 384040: Loss = 0.010997198522090912, lr = [1.25e-05] +[2024-05-25 22:27:26,302] - INFO: Epoch 7682/9999, Iter 384060: Loss = 0.013780144043266773, lr = [1.25e-05] +[2024-05-25 22:27:53,823] - INFO: Epoch 7682/9999, Iter 384080: Loss = 0.01801210269331932, lr = [1.25e-05] +[2024-05-25 22:28:23,501] - INFO: Epoch 7683/9999, Iter 384100: Loss = 0.015213758684694767, lr = [1.25e-05] +[2024-05-25 22:28:51,445] - INFO: Epoch 7683/9999, Iter 384120: Loss = 0.008156056515872478, lr = [1.25e-05] +[2024-05-25 22:29:19,405] - INFO: Epoch 7683/9999, Iter 384140: Loss = 0.016059663146734238, lr = [1.25e-05] +[2024-05-25 22:29:47,870] - INFO: Epoch 7684/9999, Iter 384160: Loss = 0.011770307086408138, lr = [1.25e-05] +[2024-05-25 22:30:16,865] - INFO: Epoch 7684/9999, Iter 384180: Loss = 0.012778944335877895, lr = [1.25e-05] +[2024-05-25 22:30:45,615] - INFO: Epoch 7685/9999, Iter 384200: Loss = 0.009480445645749569, lr = [1.25e-05] +[2024-05-25 22:31:13,571] - INFO: Epoch 7685/9999, Iter 384220: Loss = 0.00954873114824295, lr = [1.25e-05] +[2024-05-25 22:31:40,997] - INFO: Epoch 7685/9999, Iter 384240: Loss = 0.017469540238380432, lr = [1.25e-05] +[2024-05-25 22:31:53,100] - INFO: Evaluate at epoch 7685! +[2024-05-25 22:31:57,181] - INFO: Eval PSNR (max): 38.099 (7325) SSIM (max): 0.9612 (7315) +[2024-05-25 22:31:57,181] - INFO: Eval PSNR (current): 38.081 (7685) SSIM (current): 0.9611 (7685) +[2024-05-25 22:31:57,181] - INFO: Evaluation over. +[2024-05-25 22:32:16,343] - INFO: Epoch 7686/9999, Iter 384260: Loss = 0.012625805102288723, lr = [1.25e-05] +[2024-05-25 22:32:44,241] - INFO: Epoch 7686/9999, Iter 384280: Loss = 0.009343889541924, lr = [1.25e-05] +[2024-05-25 22:33:13,183] - INFO: Epoch 7687/9999, Iter 384300: Loss = 0.013893477618694305, lr = [1.25e-05] +[2024-05-25 22:33:40,489] - INFO: Epoch 7687/9999, Iter 384320: Loss = 0.010045528411865234, lr = [1.25e-05] +[2024-05-25 22:34:08,603] - INFO: Epoch 7687/9999, Iter 384340: Loss = 0.009702459909021854, lr = [1.25e-05] +[2024-05-25 22:34:37,591] - INFO: Epoch 7688/9999, Iter 384360: Loss = 0.01245913002640009, lr = [1.25e-05] +[2024-05-25 22:35:04,811] - INFO: Epoch 7688/9999, Iter 384380: Loss = 0.013250293210148811, lr = [1.25e-05] +[2024-05-25 22:35:32,931] - INFO: Epoch 7689/9999, Iter 384400: Loss = 0.011385422199964523, lr = [1.25e-05] +[2024-05-25 22:36:00,879] - INFO: Epoch 7689/9999, Iter 384420: Loss = 0.013975913636386395, lr = [1.25e-05] +[2024-05-25 22:36:28,555] - INFO: Epoch 7689/9999, Iter 384440: Loss = 0.013813680969178677, lr = [1.25e-05] +[2024-05-25 22:36:57,279] - INFO: Epoch 7690/9999, Iter 384460: Loss = 0.009237569756805897, lr = [1.25e-05] +[2024-05-25 22:37:23,985] - INFO: Epoch 7690/9999, Iter 384480: Loss = 0.014576842077076435, lr = [1.25e-05] +[2024-05-25 22:37:50,714] - INFO: Evaluate at epoch 7690! +[2024-05-25 22:37:54,791] - INFO: Eval PSNR (max): 38.099 (7325) SSIM (max): 0.9612 (7315) +[2024-05-25 22:37:54,791] - INFO: Eval PSNR (current): 38.096 (7690) SSIM (current): 0.9611 (7690) +[2024-05-25 22:37:54,791] - INFO: Evaluation over. +[2024-05-25 22:37:59,124] - INFO: Epoch 7691/9999, Iter 384500: Loss = 0.015762753784656525, lr = [1.25e-05] +[2024-05-25 22:38:26,711] - INFO: Epoch 7691/9999, Iter 384520: Loss = 0.010036665014922619, lr = [1.25e-05] +[2024-05-25 22:38:54,543] - INFO: Epoch 7691/9999, Iter 384540: Loss = 0.014335988089442253, lr = [1.25e-05] +[2024-05-25 22:39:23,696] - INFO: Epoch 7692/9999, Iter 384560: Loss = 0.010648642666637897, lr = [1.25e-05] +[2024-05-25 22:39:51,739] - INFO: Epoch 7692/9999, Iter 384580: Loss = 0.009061022661626339, lr = [1.25e-05] +[2024-05-25 22:40:21,015] - INFO: Epoch 7693/9999, Iter 384600: Loss = 0.009226544760167599, lr = [1.25e-05] +[2024-05-25 22:40:49,042] - INFO: Epoch 7693/9999, Iter 384620: Loss = 0.010341325774788857, lr = [1.25e-05] +[2024-05-25 22:41:17,756] - INFO: Epoch 7693/9999, Iter 384640: Loss = 0.013888897374272346, lr = [1.25e-05] +[2024-05-25 22:41:46,192] - INFO: Epoch 7694/9999, Iter 384660: Loss = 0.010721666738390923, lr = [1.25e-05] +[2024-05-25 22:42:13,814] - INFO: Epoch 7694/9999, Iter 384680: Loss = 0.014793621376156807, lr = [1.25e-05] +[2024-05-25 22:42:42,986] - INFO: Epoch 7695/9999, Iter 384700: Loss = 0.016306549310684204, lr = [1.25e-05] +[2024-05-25 22:43:11,741] - INFO: Epoch 7695/9999, Iter 384720: Loss = 0.014516024850308895, lr = [1.25e-05] +[2024-05-25 22:43:39,730] - INFO: Epoch 7695/9999, Iter 384740: Loss = 0.013873385265469551, lr = [1.25e-05] +[2024-05-25 22:43:51,731] - INFO: Evaluate at epoch 7695! +[2024-05-25 22:43:55,808] - INFO: Eval PSNR (max): 38.099 (7325) SSIM (max): 0.9612 (7315) +[2024-05-25 22:43:55,808] - INFO: Eval PSNR (current): 38.094 (7695) SSIM (current): 0.9611 (7695) +[2024-05-25 22:43:55,808] - INFO: Evaluation over. +[2024-05-25 22:44:14,642] - INFO: Epoch 7696/9999, Iter 384760: Loss = 0.015276127494871616, lr = [1.25e-05] +[2024-05-25 22:44:42,640] - INFO: Epoch 7696/9999, Iter 384780: Loss = 0.010716374032199383, lr = [1.25e-05] +[2024-05-25 22:45:11,116] - INFO: Epoch 7697/9999, Iter 384800: Loss = 0.018774239346385002, lr = [1.25e-05] +[2024-05-25 22:45:38,180] - INFO: Epoch 7697/9999, Iter 384820: Loss = 0.013471383601427078, lr = [1.25e-05] +[2024-05-25 22:46:05,299] - INFO: Epoch 7697/9999, Iter 384840: Loss = 0.018112152814865112, lr = [1.25e-05] +[2024-05-25 22:46:34,355] - INFO: Epoch 7698/9999, Iter 384860: Loss = 0.01246978435665369, lr = [1.25e-05] +[2024-05-25 22:47:00,988] - INFO: Epoch 7698/9999, Iter 384880: Loss = 0.013357480056583881, lr = [1.25e-05] +[2024-05-25 22:47:29,674] - INFO: Epoch 7699/9999, Iter 384900: Loss = 0.008535044267773628, lr = [1.25e-05] +[2024-05-25 22:47:58,244] - INFO: Epoch 7699/9999, Iter 384920: Loss = 0.01308884471654892, lr = [1.25e-05] +[2024-05-25 22:48:25,742] - INFO: Epoch 7699/9999, Iter 384940: Loss = 0.013732725754380226, lr = [1.25e-05] +[2024-05-25 22:48:55,394] - INFO: Epoch 7700/9999, Iter 384960: Loss = 0.00966802891343832, lr = [1.25e-05] +[2024-05-25 22:49:22,566] - INFO: Epoch 7700/9999, Iter 384980: Loss = 0.00940977968275547, lr = [1.25e-05] +[2024-05-25 22:49:49,040] - INFO: Evaluate at epoch 7700! +[2024-05-25 22:49:53,116] - INFO: Eval PSNR (max): 38.099 (7325) SSIM (max): 0.9612 (7315) +[2024-05-25 22:49:53,116] - INFO: Eval PSNR (current): 38.087 (7700) SSIM (current): 0.9611 (7700) +[2024-05-25 22:49:53,116] - INFO: Evaluation over. +[2024-05-25 22:49:57,767] - INFO: Epoch 7701/9999, Iter 385000: Loss = 0.00997767224907875, lr = [1.25e-05] +[2024-05-25 22:50:26,601] - INFO: Epoch 7701/9999, Iter 385020: Loss = 0.008171774446964264, lr = [1.25e-05] +[2024-05-25 22:50:54,395] - INFO: Epoch 7701/9999, Iter 385040: Loss = 0.007208653260022402, lr = [1.25e-05] +[2024-05-25 22:51:23,306] - INFO: Epoch 7702/9999, Iter 385060: Loss = 0.008916345424950123, lr = [1.25e-05] +[2024-05-25 22:51:51,599] - INFO: Epoch 7702/9999, Iter 385080: Loss = 0.01605170965194702, lr = [1.25e-05] +[2024-05-25 22:52:20,436] - INFO: Epoch 7703/9999, Iter 385100: Loss = 0.011668538674712181, lr = [1.25e-05] +[2024-05-25 22:52:48,535] - INFO: Epoch 7703/9999, Iter 385120: Loss = 0.010264396667480469, lr = [1.25e-05] +[2024-05-25 22:53:16,522] - INFO: Epoch 7703/9999, Iter 385140: Loss = 0.012204132042825222, lr = [1.25e-05] +[2024-05-25 22:53:44,484] - INFO: Epoch 7704/9999, Iter 385160: Loss = 0.015680238604545593, lr = [1.25e-05] +[2024-05-25 22:54:11,761] - INFO: Epoch 7704/9999, Iter 385180: Loss = 0.014874162152409554, lr = [1.25e-05] +[2024-05-25 22:54:40,852] - INFO: Epoch 7705/9999, Iter 385200: Loss = 0.01341914664953947, lr = [1.25e-05] +[2024-05-25 22:55:08,851] - INFO: Epoch 7705/9999, Iter 385220: Loss = 0.014356005936861038, lr = [1.25e-05] +[2024-05-25 22:55:36,577] - INFO: Epoch 7705/9999, Iter 385240: Loss = 0.013853282667696476, lr = [1.25e-05] +[2024-05-25 22:55:48,593] - INFO: Evaluate at epoch 7705! +[2024-05-25 22:55:52,666] - INFO: Eval PSNR (max): 38.099 (7325) SSIM (max): 0.9612 (7315) +[2024-05-25 22:55:52,666] - INFO: Eval PSNR (current): 38.079 (7705) SSIM (current): 0.9611 (7705) +[2024-05-25 22:55:52,666] - INFO: Evaluation over. +[2024-05-25 22:56:11,585] - INFO: Epoch 7706/9999, Iter 385260: Loss = 0.011836742982268333, lr = [1.25e-05] +[2024-05-25 22:56:39,682] - INFO: Epoch 7706/9999, Iter 385280: Loss = 0.010731338523328304, lr = [1.25e-05] +[2024-05-25 22:57:08,256] - INFO: Epoch 7707/9999, Iter 385300: Loss = 0.014424334280192852, lr = [1.25e-05] +[2024-05-25 22:57:36,374] - INFO: Epoch 7707/9999, Iter 385320: Loss = 0.012344914488494396, lr = [1.25e-05] +[2024-05-25 22:58:04,700] - INFO: Epoch 7707/9999, Iter 385340: Loss = 0.01304696872830391, lr = [1.25e-05] +[2024-05-25 22:58:33,434] - INFO: Epoch 7708/9999, Iter 385360: Loss = 0.008841796778142452, lr = [1.25e-05] +[2024-05-25 22:59:00,834] - INFO: Epoch 7708/9999, Iter 385380: Loss = 0.011090760119259357, lr = [1.25e-05] +[2024-05-25 22:59:29,819] - INFO: Epoch 7709/9999, Iter 385400: Loss = 0.00936061143875122, lr = [1.25e-05] +[2024-05-25 22:59:58,207] - INFO: Epoch 7709/9999, Iter 385420: Loss = 0.009849559515714645, lr = [1.25e-05] +[2024-05-25 23:00:26,471] - INFO: Epoch 7709/9999, Iter 385440: Loss = 0.01300420705229044, lr = [1.25e-05] +[2024-05-25 23:00:54,823] - INFO: Epoch 7710/9999, Iter 385460: Loss = 0.01914050057530403, lr = [1.25e-05] +[2024-05-25 23:01:22,681] - INFO: Epoch 7710/9999, Iter 385480: Loss = 0.008742842823266983, lr = [1.25e-05] +[2024-05-25 23:01:48,434] - INFO: Evaluate at epoch 7710! +[2024-05-25 23:01:52,506] - INFO: Eval PSNR (max): 38.099 (7325) SSIM (max): 0.9612 (7315) +[2024-05-25 23:01:52,506] - INFO: Eval PSNR (current): 38.064 (7710) SSIM (current): 0.9611 (7710) +[2024-05-25 23:01:52,506] - INFO: Evaluation over. +[2024-05-25 23:01:57,081] - INFO: Epoch 7711/9999, Iter 385500: Loss = 0.013124434277415276, lr = [1.25e-05] +[2024-05-25 23:02:25,347] - INFO: Epoch 7711/9999, Iter 385520: Loss = 0.012406199239194393, lr = [1.25e-05] +[2024-05-25 23:02:53,549] - INFO: Epoch 7711/9999, Iter 385540: Loss = 0.009877567179501057, lr = [1.25e-05] +[2024-05-25 23:03:23,146] - INFO: Epoch 7712/9999, Iter 385560: Loss = 0.016235515475273132, lr = [1.25e-05] +[2024-05-25 23:03:50,825] - INFO: Epoch 7712/9999, Iter 385580: Loss = 0.013481701724231243, lr = [1.25e-05] +[2024-05-25 23:04:19,679] - INFO: Epoch 7713/9999, Iter 385600: Loss = 0.013366414234042168, lr = [1.25e-05] +[2024-05-25 23:04:47,962] - INFO: Epoch 7713/9999, Iter 385620: Loss = 0.01549269538372755, lr = [1.25e-05] +[2024-05-25 23:05:15,907] - INFO: Epoch 7713/9999, Iter 385640: Loss = 0.01462269015610218, lr = [1.25e-05] +[2024-05-25 23:05:44,817] - INFO: Epoch 7714/9999, Iter 385660: Loss = 0.015529502183198929, lr = [1.25e-05] +[2024-05-25 23:06:13,418] - INFO: Epoch 7714/9999, Iter 385680: Loss = 0.01277970802038908, lr = [1.25e-05] +[2024-05-25 23:06:41,899] - INFO: Epoch 7715/9999, Iter 385700: Loss = 0.014918137341737747, lr = [1.25e-05] +[2024-05-25 23:07:09,952] - INFO: Epoch 7715/9999, Iter 385720: Loss = 0.015801971778273582, lr = [1.25e-05] +[2024-05-25 23:07:37,577] - INFO: Epoch 7715/9999, Iter 385740: Loss = 0.013137071393430233, lr = [1.25e-05] +[2024-05-25 23:07:50,061] - INFO: Evaluate at epoch 7715! +[2024-05-25 23:07:54,193] - INFO: Eval PSNR (max): 38.099 (7325) SSIM (max): 0.9612 (7315) +[2024-05-25 23:07:54,193] - INFO: Eval PSNR (current): 38.078 (7715) SSIM (current): 0.9611 (7715) +[2024-05-25 23:07:54,193] - INFO: Evaluation over. +[2024-05-25 23:08:12,559] - INFO: Epoch 7716/9999, Iter 385760: Loss = 0.010421672835946083, lr = [1.25e-05] +[2024-05-25 23:08:39,533] - INFO: Epoch 7716/9999, Iter 385780: Loss = 0.007361759897321463, lr = [1.25e-05] +[2024-05-25 23:09:07,736] - INFO: Epoch 7717/9999, Iter 385800: Loss = 0.01594088040292263, lr = [1.25e-05] +[2024-05-25 23:09:35,096] - INFO: Epoch 7717/9999, Iter 385820: Loss = 0.009005982428789139, lr = [1.25e-05] +[2024-05-25 23:10:04,015] - INFO: Epoch 7717/9999, Iter 385840: Loss = 0.008422739803791046, lr = [1.25e-05] +[2024-05-25 23:10:32,098] - INFO: Epoch 7718/9999, Iter 385860: Loss = 0.013730783015489578, lr = [1.25e-05] +[2024-05-25 23:11:00,937] - INFO: Epoch 7718/9999, Iter 385880: Loss = 0.010953024961054325, lr = [1.25e-05] +[2024-05-25 23:11:29,750] - INFO: Epoch 7719/9999, Iter 385900: Loss = 0.011837628670036793, lr = [1.25e-05] +[2024-05-25 23:11:57,768] - INFO: Epoch 7719/9999, Iter 385920: Loss = 0.012548817321658134, lr = [1.25e-05] +[2024-05-25 23:12:26,167] - INFO: Epoch 7719/9999, Iter 385940: Loss = 0.012886709533631802, lr = [1.25e-05] +[2024-05-25 23:12:55,119] - INFO: Epoch 7720/9999, Iter 385960: Loss = 0.014847243204712868, lr = [1.25e-05] +[2024-05-25 23:13:22,703] - INFO: Epoch 7720/9999, Iter 385980: Loss = 0.011981690302491188, lr = [1.25e-05] +[2024-05-25 23:13:49,496] - INFO: Evaluate at epoch 7720! +[2024-05-25 23:13:53,569] - INFO: Eval PSNR (max): 38.099 (7325) SSIM (max): 0.9612 (7315) +[2024-05-25 23:13:53,569] - INFO: Eval PSNR (current): 38.080 (7720) SSIM (current): 0.9611 (7720) +[2024-05-25 23:13:53,569] - INFO: Evaluation over. +[2024-05-25 23:13:58,146] - INFO: Epoch 7721/9999, Iter 386000: Loss = 0.01162627711892128, lr = [1.25e-05] +[2024-05-25 23:14:26,292] - INFO: Epoch 7721/9999, Iter 386020: Loss = 0.010714657604694366, lr = [1.25e-05] +[2024-05-25 23:14:53,779] - INFO: Epoch 7721/9999, Iter 386040: Loss = 0.016572674736380577, lr = [1.25e-05] +[2024-05-25 23:15:22,959] - INFO: Epoch 7722/9999, Iter 386060: Loss = 0.01046433299779892, lr = [1.25e-05] +[2024-05-25 23:15:50,903] - INFO: Epoch 7722/9999, Iter 386080: Loss = 0.013127964921295643, lr = [1.25e-05] +[2024-05-25 23:16:19,828] - INFO: Epoch 7723/9999, Iter 386100: Loss = 0.016924399882555008, lr = [1.25e-05] +[2024-05-25 23:16:46,775] - INFO: Epoch 7723/9999, Iter 386120: Loss = 0.01623348891735077, lr = [1.25e-05] +[2024-05-25 23:17:13,756] - INFO: Epoch 7723/9999, Iter 386140: Loss = 0.01291868556290865, lr = [1.25e-05] +[2024-05-25 23:17:43,985] - INFO: Epoch 7724/9999, Iter 386160: Loss = 0.011262858286499977, lr = [1.25e-05] +[2024-05-25 23:18:11,291] - INFO: Epoch 7724/9999, Iter 386180: Loss = 0.010792063549160957, lr = [1.25e-05] +[2024-05-25 23:18:40,161] - INFO: Epoch 7725/9999, Iter 386200: Loss = 0.01623448356986046, lr = [1.25e-05] +[2024-05-25 23:19:07,978] - INFO: Epoch 7725/9999, Iter 386220: Loss = 0.014701330102980137, lr = [1.25e-05] +[2024-05-25 23:19:35,399] - INFO: Epoch 7725/9999, Iter 386240: Loss = 0.014064912684261799, lr = [1.25e-05] +[2024-05-25 23:19:47,815] - INFO: Evaluate at epoch 7725! +[2024-05-25 23:19:51,884] - INFO: Eval PSNR (max): 38.099 (7325) SSIM (max): 0.9612 (7315) +[2024-05-25 23:19:51,884] - INFO: Eval PSNR (current): 38.079 (7725) SSIM (current): 0.9612 (7725) +[2024-05-25 23:19:51,884] - INFO: Evaluation over. +[2024-05-25 23:20:10,662] - INFO: Epoch 7726/9999, Iter 386260: Loss = 0.01202963013201952, lr = [1.25e-05] +[2024-05-25 23:20:38,863] - INFO: Epoch 7726/9999, Iter 386280: Loss = 0.0122080622240901, lr = [1.25e-05] +[2024-05-25 23:21:07,700] - INFO: Epoch 7727/9999, Iter 386300: Loss = 0.009430300444364548, lr = [1.25e-05] +[2024-05-25 23:21:35,635] - INFO: Epoch 7727/9999, Iter 386320: Loss = 0.017122425138950348, lr = [1.25e-05] +[2024-05-25 23:22:03,986] - INFO: Epoch 7727/9999, Iter 386340: Loss = 0.014510083012282848, lr = [1.25e-05] +[2024-05-25 23:22:32,752] - INFO: Epoch 7728/9999, Iter 386360: Loss = 0.010760614648461342, lr = [1.25e-05] +[2024-05-25 23:22:59,427] - INFO: Epoch 7728/9999, Iter 386380: Loss = 0.015261489897966385, lr = [1.25e-05] +[2024-05-25 23:23:28,407] - INFO: Epoch 7729/9999, Iter 386400: Loss = 0.014408857561647892, lr = [1.25e-05] +[2024-05-25 23:23:56,771] - INFO: Epoch 7729/9999, Iter 386420: Loss = 0.012807857245206833, lr = [1.25e-05] +[2024-05-25 23:24:24,355] - INFO: Epoch 7729/9999, Iter 386440: Loss = 0.014808006584644318, lr = [1.25e-05] +[2024-05-25 23:24:54,359] - INFO: Epoch 7730/9999, Iter 386460: Loss = 0.012251915410161018, lr = [1.25e-05] +[2024-05-25 23:25:22,365] - INFO: Epoch 7730/9999, Iter 386480: Loss = 0.009400230832397938, lr = [1.25e-05] +[2024-05-25 23:25:48,077] - INFO: Evaluate at epoch 7730! +[2024-05-25 23:25:52,151] - INFO: Eval PSNR (max): 38.099 (7325) SSIM (max): 0.9612 (7315) +[2024-05-25 23:25:52,151] - INFO: Eval PSNR (current): 38.079 (7730) SSIM (current): 0.9611 (7730) +[2024-05-25 23:25:52,151] - INFO: Evaluation over. +[2024-05-25 23:25:57,118] - INFO: Epoch 7731/9999, Iter 386500: Loss = 0.010878152213990688, lr = [1.25e-05] +[2024-05-25 23:26:24,336] - INFO: Epoch 7731/9999, Iter 386520: Loss = 0.013988055288791656, lr = [1.25e-05] +[2024-05-25 23:26:51,384] - INFO: Epoch 7731/9999, Iter 386540: Loss = 0.019813569262623787, lr = [1.25e-05] +[2024-05-25 23:27:20,664] - INFO: Epoch 7732/9999, Iter 386560: Loss = 0.007337667513638735, lr = [1.25e-05] +[2024-05-25 23:27:48,207] - INFO: Epoch 7732/9999, Iter 386580: Loss = 0.013120783492922783, lr = [1.25e-05] +[2024-05-25 23:28:17,463] - INFO: Epoch 7733/9999, Iter 386600: Loss = 0.016147000715136528, lr = [1.25e-05] +[2024-05-25 23:28:45,667] - INFO: Epoch 7733/9999, Iter 386620: Loss = 0.01774420030415058, lr = [1.25e-05] +[2024-05-25 23:29:13,454] - INFO: Epoch 7733/9999, Iter 386640: Loss = 0.01228212472051382, lr = [1.25e-05] +[2024-05-25 23:29:41,943] - INFO: Epoch 7734/9999, Iter 386660: Loss = 0.011951083317399025, lr = [1.25e-05] +[2024-05-25 23:30:09,764] - INFO: Epoch 7734/9999, Iter 386680: Loss = 0.016980944201350212, lr = [1.25e-05] +[2024-05-25 23:30:38,921] - INFO: Epoch 7735/9999, Iter 386700: Loss = 0.012219345197081566, lr = [1.25e-05] +[2024-05-25 23:31:06,819] - INFO: Epoch 7735/9999, Iter 386720: Loss = 0.014428693801164627, lr = [1.25e-05] +[2024-05-25 23:31:35,057] - INFO: Epoch 7735/9999, Iter 386740: Loss = 0.008302559144794941, lr = [1.25e-05] +[2024-05-25 23:31:47,424] - INFO: Evaluate at epoch 7735! +[2024-05-25 23:31:51,502] - INFO: Eval PSNR (max): 38.099 (7325) SSIM (max): 0.9612 (7315) +[2024-05-25 23:31:51,502] - INFO: Eval PSNR (current): 38.088 (7735) SSIM (current): 0.9611 (7735) +[2024-05-25 23:31:51,502] - INFO: Evaluation over. +[2024-05-25 23:32:09,895] - INFO: Epoch 7736/9999, Iter 386760: Loss = 0.01331168320029974, lr = [1.25e-05] +[2024-05-25 23:32:36,606] - INFO: Epoch 7736/9999, Iter 386780: Loss = 0.009122063405811787, lr = [1.25e-05] +[2024-05-25 23:33:06,095] - INFO: Epoch 7737/9999, Iter 386800: Loss = 0.015021150931715965, lr = [1.25e-05] +[2024-05-25 23:33:33,810] - INFO: Epoch 7737/9999, Iter 386820: Loss = 0.009195935912430286, lr = [1.25e-05] +[2024-05-25 23:34:00,471] - INFO: Epoch 7737/9999, Iter 386840: Loss = 0.01676650531589985, lr = [1.25e-05] +[2024-05-25 23:34:29,741] - INFO: Epoch 7738/9999, Iter 386860: Loss = 0.015066096559166908, lr = [1.25e-05] +[2024-05-25 23:34:56,629] - INFO: Epoch 7738/9999, Iter 386880: Loss = 0.00812305323779583, lr = [1.25e-05] +[2024-05-25 23:35:26,311] - INFO: Epoch 7739/9999, Iter 386900: Loss = 0.016332868486642838, lr = [1.25e-05] +[2024-05-25 23:35:55,043] - INFO: Epoch 7739/9999, Iter 386920: Loss = 0.014218740165233612, lr = [1.25e-05] +[2024-05-25 23:36:22,711] - INFO: Epoch 7739/9999, Iter 386940: Loss = 0.00906333141028881, lr = [1.25e-05] +[2024-05-25 23:36:51,495] - INFO: Epoch 7740/9999, Iter 386960: Loss = 0.009360501542687416, lr = [1.25e-05] +[2024-05-25 23:37:18,829] - INFO: Epoch 7740/9999, Iter 386980: Loss = 0.008875390514731407, lr = [1.25e-05] +[2024-05-25 23:37:44,984] - INFO: Evaluate at epoch 7740! +[2024-05-25 23:37:49,057] - INFO: Eval PSNR (max): 38.099 (7325) SSIM (max): 0.9612 (7315) +[2024-05-25 23:37:49,057] - INFO: Eval PSNR (current): 38.087 (7740) SSIM (current): 0.9611 (7740) +[2024-05-25 23:37:49,057] - INFO: Evaluation over. +[2024-05-25 23:37:53,435] - INFO: Epoch 7741/9999, Iter 387000: Loss = 0.01372474618256092, lr = [1.25e-05] +[2024-05-25 23:38:21,219] - INFO: Epoch 7741/9999, Iter 387020: Loss = 0.011805905029177666, lr = [1.25e-05] +[2024-05-25 23:38:49,771] - INFO: Epoch 7741/9999, Iter 387040: Loss = 0.010630142875015736, lr = [1.25e-05] +[2024-05-25 23:39:19,599] - INFO: Epoch 7742/9999, Iter 387060: Loss = 0.01138132344931364, lr = [1.25e-05] +[2024-05-25 23:39:46,692] - INFO: Epoch 7742/9999, Iter 387080: Loss = 0.009536820463836193, lr = [1.25e-05] +[2024-05-25 23:40:15,564] - INFO: Epoch 7743/9999, Iter 387100: Loss = 0.00958802830427885, lr = [1.25e-05] +[2024-05-25 23:40:44,303] - INFO: Epoch 7743/9999, Iter 387120: Loss = 0.008310282602906227, lr = [1.25e-05] +[2024-05-25 23:41:12,052] - INFO: Epoch 7743/9999, Iter 387140: Loss = 0.012684458866715431, lr = [1.25e-05] +[2024-05-25 23:41:40,967] - INFO: Epoch 7744/9999, Iter 387160: Loss = 0.010224102064967155, lr = [1.25e-05] +[2024-05-25 23:42:08,161] - INFO: Epoch 7744/9999, Iter 387180: Loss = 0.020319227129220963, lr = [1.25e-05] +[2024-05-25 23:42:37,772] - INFO: Epoch 7745/9999, Iter 387200: Loss = 0.012994326651096344, lr = [1.25e-05] +[2024-05-25 23:43:04,468] - INFO: Epoch 7745/9999, Iter 387220: Loss = 0.008307177573442459, lr = [1.25e-05] +[2024-05-25 23:43:32,375] - INFO: Epoch 7745/9999, Iter 387240: Loss = 0.012905429117381573, lr = [1.25e-05] +[2024-05-25 23:43:44,910] - INFO: Evaluate at epoch 7745! +[2024-05-25 23:43:50,752] - INFO: Eval PSNR (max): 38.105 (7745) SSIM (max): 0.9612 (7315) +[2024-05-25 23:43:50,752] - INFO: Eval PSNR (current): 38.105 (7745) SSIM (current): 0.9611 (7745) +[2024-05-25 23:43:50,753] - INFO: Evaluation over. +[2024-05-25 23:44:09,187] - INFO: Epoch 7746/9999, Iter 387260: Loss = 0.012058150954544544, lr = [1.25e-05] +[2024-05-25 23:44:36,051] - INFO: Epoch 7746/9999, Iter 387280: Loss = 0.013225692324340343, lr = [1.25e-05] +[2024-05-25 23:45:04,240] - INFO: Epoch 7747/9999, Iter 387300: Loss = 0.015269136056303978, lr = [1.25e-05] +[2024-05-25 23:45:31,868] - INFO: Epoch 7747/9999, Iter 387320: Loss = 0.011073642410337925, lr = [1.25e-05] +[2024-05-25 23:45:59,918] - INFO: Epoch 7747/9999, Iter 387340: Loss = 0.012760449200868607, lr = [1.25e-05] +[2024-05-25 23:46:28,713] - INFO: Epoch 7748/9999, Iter 387360: Loss = 0.012745159678161144, lr = [1.25e-05] +[2024-05-25 23:46:56,881] - INFO: Epoch 7748/9999, Iter 387380: Loss = 0.014443004503846169, lr = [1.25e-05] +[2024-05-25 23:47:26,444] - INFO: Epoch 7749/9999, Iter 387400: Loss = 0.011252196505665779, lr = [1.25e-05] +[2024-05-25 23:47:53,567] - INFO: Epoch 7749/9999, Iter 387420: Loss = 0.010622543282806873, lr = [1.25e-05] +[2024-05-25 23:48:21,343] - INFO: Epoch 7749/9999, Iter 387440: Loss = 0.012813468463718891, lr = [1.25e-05] +[2024-05-25 23:48:50,635] - INFO: Epoch 7750/9999, Iter 387460: Loss = 0.014995497651398182, lr = [1.25e-05] +[2024-05-25 23:49:18,515] - INFO: Epoch 7750/9999, Iter 387480: Loss = 0.0071298107504844666, lr = [1.25e-05] +[2024-05-25 23:49:45,184] - INFO: Evaluate at epoch 7750! +[2024-05-25 23:49:49,253] - INFO: Eval PSNR (max): 38.105 (7745) SSIM (max): 0.9612 (7315) +[2024-05-25 23:49:49,253] - INFO: Eval PSNR (current): 38.099 (7750) SSIM (current): 0.9611 (7750) +[2024-05-25 23:49:49,254] - INFO: Evaluation over. +[2024-05-25 23:49:53,615] - INFO: Epoch 7751/9999, Iter 387500: Loss = 0.015470372512936592, lr = [1.25e-05] +[2024-05-25 23:50:20,178] - INFO: Epoch 7751/9999, Iter 387520: Loss = 0.009508398361504078, lr = [1.25e-05] +[2024-05-25 23:50:48,034] - INFO: Epoch 7751/9999, Iter 387540: Loss = 0.011693840846419334, lr = [1.25e-05] +[2024-05-25 23:51:17,757] - INFO: Epoch 7752/9999, Iter 387560: Loss = 0.010371175594627857, lr = [1.25e-05] +[2024-05-25 23:51:45,636] - INFO: Epoch 7752/9999, Iter 387580: Loss = 0.010177800431847572, lr = [1.25e-05] +[2024-05-25 23:52:15,050] - INFO: Epoch 7753/9999, Iter 387600: Loss = 0.014970642514526844, lr = [1.25e-05] +[2024-05-25 23:52:42,946] - INFO: Epoch 7753/9999, Iter 387620: Loss = 0.01001502014696598, lr = [1.25e-05] +[2024-05-25 23:53:11,475] - INFO: Epoch 7753/9999, Iter 387640: Loss = 0.013777373358607292, lr = [1.25e-05] +[2024-05-25 23:53:39,839] - INFO: Epoch 7754/9999, Iter 387660: Loss = 0.014725755900144577, lr = [1.25e-05] +[2024-05-25 23:54:07,994] - INFO: Epoch 7754/9999, Iter 387680: Loss = 0.00986703671514988, lr = [1.25e-05] +[2024-05-25 23:54:37,151] - INFO: Epoch 7755/9999, Iter 387700: Loss = 0.015911752358078957, lr = [1.25e-05] +[2024-05-25 23:55:03,957] - INFO: Epoch 7755/9999, Iter 387720: Loss = 0.013318561017513275, lr = [1.25e-05] +[2024-05-25 23:55:31,151] - INFO: Epoch 7755/9999, Iter 387740: Loss = 0.012928157113492489, lr = [1.25e-05] +[2024-05-25 23:55:43,766] - INFO: Evaluate at epoch 7755! +[2024-05-25 23:55:49,379] - INFO: Eval PSNR (max): 38.105 (7755) SSIM (max): 0.9612 (7315) +[2024-05-25 23:55:49,380] - INFO: Eval PSNR (current): 38.105 (7755) SSIM (current): 0.9612 (7755) +[2024-05-25 23:55:49,380] - INFO: Evaluation over. +[2024-05-25 23:56:07,695] - INFO: Epoch 7756/9999, Iter 387760: Loss = 0.011366802267730236, lr = [1.25e-05] +[2024-05-25 23:56:36,005] - INFO: Epoch 7756/9999, Iter 387780: Loss = 0.010270033963024616, lr = [1.25e-05] +[2024-05-25 23:57:05,382] - INFO: Epoch 7757/9999, Iter 387800: Loss = 0.01582934521138668, lr = [1.25e-05] +[2024-05-25 23:57:33,566] - INFO: Epoch 7757/9999, Iter 387820: Loss = 0.008121428079903126, lr = [1.25e-05] +[2024-05-25 23:58:01,964] - INFO: Epoch 7757/9999, Iter 387840: Loss = 0.014509003609418869, lr = [1.25e-05] +[2024-05-25 23:58:30,019] - INFO: Epoch 7758/9999, Iter 387860: Loss = 0.015325473621487617, lr = [1.25e-05] +[2024-05-25 23:58:57,163] - INFO: Epoch 7758/9999, Iter 387880: Loss = 0.015505344606935978, lr = [1.25e-05] +[2024-05-25 23:59:26,720] - INFO: Epoch 7759/9999, Iter 387900: Loss = 0.02041989006102085, lr = [1.25e-05] +[2024-05-25 23:59:54,761] - INFO: Epoch 7759/9999, Iter 387920: Loss = 0.013529426418244839, lr = [1.25e-05] +[2024-05-26 00:00:22,905] - INFO: Epoch 7759/9999, Iter 387940: Loss = 0.007905470207333565, lr = [1.25e-05] +[2024-05-26 00:00:51,966] - INFO: Epoch 7760/9999, Iter 387960: Loss = 0.012392756529152393, lr = [1.25e-05] +[2024-05-26 00:01:19,791] - INFO: Epoch 7760/9999, Iter 387980: Loss = 0.014369982294738293, lr = [1.25e-05] +[2024-05-26 00:01:45,961] - INFO: Evaluate at epoch 7760! +[2024-05-26 00:01:50,038] - INFO: Eval PSNR (max): 38.105 (7755) SSIM (max): 0.9612 (7315) +[2024-05-26 00:01:50,039] - INFO: Eval PSNR (current): 38.089 (7760) SSIM (current): 0.9611 (7760) +[2024-05-26 00:01:50,039] - INFO: Evaluation over. +[2024-05-26 00:01:54,343] - INFO: Epoch 7761/9999, Iter 388000: Loss = 0.01784687116742134, lr = [1.25e-05] +[2024-05-26 00:02:22,707] - INFO: Epoch 7761/9999, Iter 388020: Loss = 0.015481940470635891, lr = [1.25e-05] +[2024-05-26 00:02:50,117] - INFO: Epoch 7761/9999, Iter 388040: Loss = 0.01656157709658146, lr = [1.25e-05] +[2024-05-26 00:03:19,115] - INFO: Epoch 7762/9999, Iter 388060: Loss = 0.013324001803994179, lr = [1.25e-05] +[2024-05-26 00:03:47,219] - INFO: Epoch 7762/9999, Iter 388080: Loss = 0.009468048810958862, lr = [1.25e-05] +[2024-05-26 00:04:16,666] - INFO: Epoch 7763/9999, Iter 388100: Loss = 0.01055243331938982, lr = [1.25e-05] +[2024-05-26 00:04:44,195] - INFO: Epoch 7763/9999, Iter 388120: Loss = 0.005321257747709751, lr = [1.25e-05] +[2024-05-26 00:05:12,935] - INFO: Epoch 7763/9999, Iter 388140: Loss = 0.012002701871097088, lr = [1.25e-05] +[2024-05-26 00:05:41,147] - INFO: Epoch 7764/9999, Iter 388160: Loss = 0.0074873813427984715, lr = [1.25e-05] +[2024-05-26 00:06:08,266] - INFO: Epoch 7764/9999, Iter 388180: Loss = 0.01439070887863636, lr = [1.25e-05] +[2024-05-26 00:06:37,187] - INFO: Epoch 7765/9999, Iter 388200: Loss = 0.006290072575211525, lr = [1.25e-05] +[2024-05-26 00:07:05,496] - INFO: Epoch 7765/9999, Iter 388220: Loss = 0.01144364569336176, lr = [1.25e-05] +[2024-05-26 00:07:33,045] - INFO: Epoch 7765/9999, Iter 388240: Loss = 0.014634539373219013, lr = [1.25e-05] +[2024-05-26 00:07:45,474] - INFO: Evaluate at epoch 7765! +[2024-05-26 00:07:49,549] - INFO: Eval PSNR (max): 38.105 (7755) SSIM (max): 0.9612 (7315) +[2024-05-26 00:07:49,549] - INFO: Eval PSNR (current): 38.089 (7765) SSIM (current): 0.9612 (7765) +[2024-05-26 00:07:49,549] - INFO: Evaluation over. +[2024-05-26 00:08:07,427] - INFO: Epoch 7766/9999, Iter 388260: Loss = 0.01638340950012207, lr = [1.25e-05] +[2024-05-26 00:08:35,614] - INFO: Epoch 7766/9999, Iter 388280: Loss = 0.009328345768153667, lr = [1.25e-05] +[2024-05-26 00:09:04,055] - INFO: Epoch 7767/9999, Iter 388300: Loss = 0.01657985895872116, lr = [1.25e-05] +[2024-05-26 00:09:32,904] - INFO: Epoch 7767/9999, Iter 388320: Loss = 0.010351790115237236, lr = [1.25e-05] +[2024-05-26 00:10:01,355] - INFO: Epoch 7767/9999, Iter 388340: Loss = 0.01377398706972599, lr = [1.25e-05] +[2024-05-26 00:10:29,635] - INFO: Epoch 7768/9999, Iter 388360: Loss = 0.011261862702667713, lr = [1.25e-05] +[2024-05-26 00:10:57,900] - INFO: Epoch 7768/9999, Iter 388380: Loss = 0.012566045857965946, lr = [1.25e-05] +[2024-05-26 00:11:26,655] - INFO: Epoch 7769/9999, Iter 388400: Loss = 0.014831887558102608, lr = [1.25e-05] +[2024-05-26 00:11:54,795] - INFO: Epoch 7769/9999, Iter 388420: Loss = 0.009064847603440285, lr = [1.25e-05] +[2024-05-26 00:12:22,795] - INFO: Epoch 7769/9999, Iter 388440: Loss = 0.016516486182808876, lr = [1.25e-05] +[2024-05-26 00:12:52,239] - INFO: Epoch 7770/9999, Iter 388460: Loss = 0.02020011842250824, lr = [1.25e-05] +[2024-05-26 00:13:20,071] - INFO: Epoch 7770/9999, Iter 388480: Loss = 0.012619003653526306, lr = [1.25e-05] +[2024-05-26 00:13:45,459] - INFO: Evaluate at epoch 7770! +[2024-05-26 00:13:49,533] - INFO: Eval PSNR (max): 38.105 (7755) SSIM (max): 0.9612 (7315) +[2024-05-26 00:13:49,533] - INFO: Eval PSNR (current): 38.090 (7770) SSIM (current): 0.9611 (7770) +[2024-05-26 00:13:49,533] - INFO: Evaluation over. +[2024-05-26 00:13:54,135] - INFO: Epoch 7771/9999, Iter 388500: Loss = 0.01183900237083435, lr = [1.25e-05] +[2024-05-26 00:14:21,911] - INFO: Epoch 7771/9999, Iter 388520: Loss = 0.017305195331573486, lr = [1.25e-05] +[2024-05-26 00:14:49,519] - INFO: Epoch 7771/9999, Iter 388540: Loss = 0.013712594285607338, lr = [1.25e-05] +[2024-05-26 00:15:19,187] - INFO: Epoch 7772/9999, Iter 388560: Loss = 0.01226725336164236, lr = [1.25e-05] +[2024-05-26 00:15:47,604] - INFO: Epoch 7772/9999, Iter 388580: Loss = 0.01924062706530094, lr = [1.25e-05] +[2024-05-26 00:16:16,123] - INFO: Epoch 7773/9999, Iter 388600: Loss = 0.017093516886234283, lr = [1.25e-05] +[2024-05-26 00:16:44,511] - INFO: Epoch 7773/9999, Iter 388620: Loss = 0.010500526055693626, lr = [1.25e-05] +[2024-05-26 00:17:12,806] - INFO: Epoch 7773/9999, Iter 388640: Loss = 0.008971678093075752, lr = [1.25e-05] +[2024-05-26 00:17:41,235] - INFO: Epoch 7774/9999, Iter 388660: Loss = 0.01558646373450756, lr = [1.25e-05] +[2024-05-26 00:18:07,701] - INFO: Epoch 7774/9999, Iter 388680: Loss = 0.0112044308334589, lr = [1.25e-05] +[2024-05-26 00:18:36,863] - INFO: Epoch 7775/9999, Iter 388700: Loss = 0.012051580473780632, lr = [1.25e-05] +[2024-05-26 00:19:03,723] - INFO: Epoch 7775/9999, Iter 388720: Loss = 0.01317441463470459, lr = [1.25e-05] +[2024-05-26 00:19:31,287] - INFO: Epoch 7775/9999, Iter 388740: Loss = 0.010340521112084389, lr = [1.25e-05] +[2024-05-26 00:19:43,870] - INFO: Evaluate at epoch 7775! +[2024-05-26 00:19:47,945] - INFO: Eval PSNR (max): 38.105 (7755) SSIM (max): 0.9612 (7315) +[2024-05-26 00:19:47,946] - INFO: Eval PSNR (current): 38.094 (7775) SSIM (current): 0.9611 (7775) +[2024-05-26 00:19:47,946] - INFO: Evaluation over. +[2024-05-26 00:20:06,218] - INFO: Epoch 7776/9999, Iter 388760: Loss = 0.011260573752224445, lr = [1.25e-05] +[2024-05-26 00:20:34,407] - INFO: Epoch 7776/9999, Iter 388780: Loss = 0.01836426742374897, lr = [1.25e-05] +[2024-05-26 00:21:04,214] - INFO: Epoch 7777/9999, Iter 388800: Loss = 0.012160749174654484, lr = [1.25e-05] +[2024-05-26 00:21:30,923] - INFO: Epoch 7777/9999, Iter 388820: Loss = 0.00752238417044282, lr = [1.25e-05] +[2024-05-26 00:21:58,167] - INFO: Epoch 7777/9999, Iter 388840: Loss = 0.012137430720031261, lr = [1.25e-05] +[2024-05-26 00:22:27,015] - INFO: Epoch 7778/9999, Iter 388860: Loss = 0.010351534001529217, lr = [1.25e-05] +[2024-05-26 00:22:54,034] - INFO: Epoch 7778/9999, Iter 388880: Loss = 0.018136262893676758, lr = [1.25e-05] +[2024-05-26 00:23:23,036] - INFO: Epoch 7779/9999, Iter 388900: Loss = 0.010156209580600262, lr = [1.25e-05] +[2024-05-26 00:23:50,471] - INFO: Epoch 7779/9999, Iter 388920: Loss = 0.011418457143008709, lr = [1.25e-05] +[2024-05-26 00:24:18,099] - INFO: Epoch 7779/9999, Iter 388940: Loss = 0.009166837669909, lr = [1.25e-05] +[2024-05-26 00:24:47,480] - INFO: Epoch 7780/9999, Iter 388960: Loss = 0.010211410000920296, lr = [1.25e-05] +[2024-05-26 00:25:15,335] - INFO: Epoch 7780/9999, Iter 388980: Loss = 0.01203602459281683, lr = [1.25e-05] +[2024-05-26 00:25:41,408] - INFO: Evaluate at epoch 7780! +[2024-05-26 00:25:45,482] - INFO: Eval PSNR (max): 38.105 (7755) SSIM (max): 0.9612 (7315) +[2024-05-26 00:25:45,482] - INFO: Eval PSNR (current): 38.090 (7780) SSIM (current): 0.9611 (7780) +[2024-05-26 00:25:45,482] - INFO: Evaluation over. +[2024-05-26 00:25:50,325] - INFO: Epoch 7781/9999, Iter 389000: Loss = 0.011699274182319641, lr = [1.25e-05] +[2024-05-26 00:26:18,622] - INFO: Epoch 7781/9999, Iter 389020: Loss = 0.01234025415033102, lr = [1.25e-05] +[2024-05-26 00:26:46,627] - INFO: Epoch 7781/9999, Iter 389040: Loss = 0.00890007708221674, lr = [1.25e-05] +[2024-05-26 00:27:15,405] - INFO: Epoch 7782/9999, Iter 389060: Loss = 0.012779290787875652, lr = [1.25e-05] +[2024-05-26 00:27:42,763] - INFO: Epoch 7782/9999, Iter 389080: Loss = 0.011603991501033306, lr = [1.25e-05] +[2024-05-26 00:28:12,657] - INFO: Epoch 7783/9999, Iter 389100: Loss = 0.016813872382044792, lr = [1.25e-05] +[2024-05-26 00:28:40,466] - INFO: Epoch 7783/9999, Iter 389120: Loss = 0.015767311677336693, lr = [1.25e-05] +[2024-05-26 00:29:08,699] - INFO: Epoch 7783/9999, Iter 389140: Loss = 0.012410745956003666, lr = [1.25e-05] +[2024-05-26 00:29:38,115] - INFO: Epoch 7784/9999, Iter 389160: Loss = 0.012194179929792881, lr = [1.25e-05] +[2024-05-26 00:30:05,930] - INFO: Epoch 7784/9999, Iter 389180: Loss = 0.010449712164700031, lr = [1.25e-05] +[2024-05-26 00:30:34,360] - INFO: Epoch 7785/9999, Iter 389200: Loss = 0.008446049876511097, lr = [1.25e-05] +[2024-05-26 00:31:01,535] - INFO: Epoch 7785/9999, Iter 389220: Loss = 0.01486735325306654, lr = [1.25e-05] +[2024-05-26 00:31:29,574] - INFO: Epoch 7785/9999, Iter 389240: Loss = 0.010457763448357582, lr = [1.25e-05] +[2024-05-26 00:31:41,870] - INFO: Evaluate at epoch 7785! +[2024-05-26 00:31:45,949] - INFO: Eval PSNR (max): 38.105 (7755) SSIM (max): 0.9612 (7315) +[2024-05-26 00:31:45,949] - INFO: Eval PSNR (current): 38.095 (7785) SSIM (current): 0.9611 (7785) +[2024-05-26 00:31:45,950] - INFO: Evaluation over. +[2024-05-26 00:32:04,555] - INFO: Epoch 7786/9999, Iter 389260: Loss = 0.014522410929203033, lr = [1.25e-05] +[2024-05-26 00:32:32,459] - INFO: Epoch 7786/9999, Iter 389280: Loss = 0.016265740618109703, lr = [1.25e-05] +[2024-05-26 00:33:00,348] - INFO: Epoch 7787/9999, Iter 389300: Loss = 0.01322169229388237, lr = [1.25e-05] +[2024-05-26 00:33:27,804] - INFO: Epoch 7787/9999, Iter 389320: Loss = 0.0179434921592474, lr = [1.25e-05] +[2024-05-26 00:33:55,719] - INFO: Epoch 7787/9999, Iter 389340: Loss = 0.009712821803987026, lr = [1.25e-05] +[2024-05-26 00:34:24,612] - INFO: Epoch 7788/9999, Iter 389360: Loss = 0.01030001137405634, lr = [1.25e-05] +[2024-05-26 00:34:52,867] - INFO: Epoch 7788/9999, Iter 389380: Loss = 0.00853713694959879, lr = [1.25e-05] +[2024-05-26 00:35:22,108] - INFO: Epoch 7789/9999, Iter 389400: Loss = 0.012029623612761497, lr = [1.25e-05] +[2024-05-26 00:35:49,781] - INFO: Epoch 7789/9999, Iter 389420: Loss = 0.009659109637141228, lr = [1.25e-05] +[2024-05-26 00:36:18,187] - INFO: Epoch 7789/9999, Iter 389440: Loss = 0.010603079572319984, lr = [1.25e-05] +[2024-05-26 00:36:46,876] - INFO: Epoch 7790/9999, Iter 389460: Loss = 0.01430391613394022, lr = [1.25e-05] +[2024-05-26 00:37:14,883] - INFO: Epoch 7790/9999, Iter 389480: Loss = 0.014580066315829754, lr = [1.25e-05] +[2024-05-26 00:37:40,762] - INFO: Evaluate at epoch 7790! +[2024-05-26 00:37:44,836] - INFO: Eval PSNR (max): 38.105 (7755) SSIM (max): 0.9612 (7315) +[2024-05-26 00:37:44,836] - INFO: Eval PSNR (current): 38.105 (7790) SSIM (current): 0.9612 (7790) +[2024-05-26 00:37:44,836] - INFO: Evaluation over. +[2024-05-26 00:37:49,431] - INFO: Epoch 7791/9999, Iter 389500: Loss = 0.007746708579361439, lr = [1.25e-05] +[2024-05-26 00:38:17,404] - INFO: Epoch 7791/9999, Iter 389520: Loss = 0.010478717274963856, lr = [1.25e-05] +[2024-05-26 00:38:45,323] - INFO: Epoch 7791/9999, Iter 389540: Loss = 0.010436912067234516, lr = [1.25e-05] +[2024-05-26 00:39:14,279] - INFO: Epoch 7792/9999, Iter 389560: Loss = 0.012761183083057404, lr = [1.25e-05] +[2024-05-26 00:39:42,492] - INFO: Epoch 7792/9999, Iter 389580: Loss = 0.00784477312117815, lr = [1.25e-05] +[2024-05-26 00:40:11,869] - INFO: Epoch 7793/9999, Iter 389600: Loss = 0.012515930458903313, lr = [1.25e-05] +[2024-05-26 00:40:39,366] - INFO: Epoch 7793/9999, Iter 389620: Loss = 0.014016359113156796, lr = [1.25e-05] +[2024-05-26 00:41:07,294] - INFO: Epoch 7793/9999, Iter 389640: Loss = 0.014549605548381805, lr = [1.25e-05] +[2024-05-26 00:41:35,907] - INFO: Epoch 7794/9999, Iter 389660: Loss = 0.012426884844899178, lr = [1.25e-05] +[2024-05-26 00:42:02,967] - INFO: Epoch 7794/9999, Iter 389680: Loss = 0.009873349219560623, lr = [1.25e-05] +[2024-05-26 00:42:32,686] - INFO: Epoch 7795/9999, Iter 389700: Loss = 0.010671817697584629, lr = [1.25e-05] +[2024-05-26 00:43:00,270] - INFO: Epoch 7795/9999, Iter 389720: Loss = 0.012213129550218582, lr = [1.25e-05] +[2024-05-26 00:43:27,159] - INFO: Epoch 7795/9999, Iter 389740: Loss = 0.018321070820093155, lr = [1.25e-05] +[2024-05-26 00:43:39,834] - INFO: Evaluate at epoch 7795! +[2024-05-26 00:43:43,893] - INFO: Eval PSNR (max): 38.105 (7755) SSIM (max): 0.9612 (7315) +[2024-05-26 00:43:43,893] - INFO: Eval PSNR (current): 38.097 (7795) SSIM (current): 0.9612 (7795) +[2024-05-26 00:43:43,893] - INFO: Evaluation over. +[2024-05-26 00:44:01,764] - INFO: Epoch 7796/9999, Iter 389760: Loss = 0.009529123082756996, lr = [1.25e-05] +[2024-05-26 00:44:29,347] - INFO: Epoch 7796/9999, Iter 389780: Loss = 0.011063935235142708, lr = [1.25e-05] +[2024-05-26 00:44:59,048] - INFO: Epoch 7797/9999, Iter 389800: Loss = 0.017244853079319, lr = [1.25e-05] +[2024-05-26 00:45:26,142] - INFO: Epoch 7797/9999, Iter 389820: Loss = 0.00689980061724782, lr = [1.25e-05] +[2024-05-26 00:45:53,622] - INFO: Epoch 7797/9999, Iter 389840: Loss = 0.010823515243828297, lr = [1.25e-05] +[2024-05-26 00:46:23,300] - INFO: Epoch 7798/9999, Iter 389860: Loss = 0.010053705424070358, lr = [1.25e-05] +[2024-05-26 00:46:51,543] - INFO: Epoch 7798/9999, Iter 389880: Loss = 0.007860383950173855, lr = [1.25e-05] +[2024-05-26 00:47:20,383] - INFO: Epoch 7799/9999, Iter 389900: Loss = 0.014772562310099602, lr = [1.25e-05] +[2024-05-26 00:47:48,399] - INFO: Epoch 7799/9999, Iter 389920: Loss = 0.012661192566156387, lr = [1.25e-05] +[2024-05-26 00:48:15,662] - INFO: Epoch 7799/9999, Iter 389940: Loss = 0.007583973463624716, lr = [1.25e-05] +[2024-05-26 00:48:44,504] - INFO: Epoch 7800/9999, Iter 389960: Loss = 0.012271814979612827, lr = [1.25e-05] +[2024-05-26 00:49:11,850] - INFO: Epoch 7800/9999, Iter 389980: Loss = 0.010357827879488468, lr = [1.25e-05] +[2024-05-26 00:49:38,248] - INFO: Evaluate at epoch 7800! +[2024-05-26 00:49:42,304] - INFO: Eval PSNR (max): 38.105 (7755) SSIM (max): 0.9612 (7315) +[2024-05-26 00:49:42,305] - INFO: Eval PSNR (current): 38.082 (7800) SSIM (current): 0.9612 (7800) +[2024-05-26 00:49:42,305] - INFO: Evaluation over. +[2024-05-26 00:49:46,863] - INFO: Epoch 7801/9999, Iter 390000: Loss = 0.011548064649105072, lr = [1.25e-05] +[2024-05-26 00:50:14,504] - INFO: Epoch 7801/9999, Iter 390020: Loss = 0.009410930797457695, lr = [1.25e-05] +[2024-05-26 00:50:41,284] - INFO: Epoch 7801/9999, Iter 390040: Loss = 0.012286314740777016, lr = [1.25e-05] +[2024-05-26 00:51:09,755] - INFO: Epoch 7802/9999, Iter 390060: Loss = 0.01052055973559618, lr = [1.25e-05] +[2024-05-26 00:51:37,319] - INFO: Epoch 7802/9999, Iter 390080: Loss = 0.009180886670947075, lr = [1.25e-05] +[2024-05-26 00:52:07,063] - INFO: Epoch 7803/9999, Iter 390100: Loss = 0.01443396508693695, lr = [1.25e-05] +[2024-05-26 00:52:35,161] - INFO: Epoch 7803/9999, Iter 390120: Loss = 0.01625717617571354, lr = [1.25e-05] +[2024-05-26 00:53:02,422] - INFO: Epoch 7803/9999, Iter 390140: Loss = 0.012068279087543488, lr = [1.25e-05] +[2024-05-26 00:53:31,971] - INFO: Epoch 7804/9999, Iter 390160: Loss = 0.008557581342756748, lr = [1.25e-05] +[2024-05-26 00:53:59,875] - INFO: Epoch 7804/9999, Iter 390180: Loss = 0.009681821800768375, lr = [1.25e-05] +[2024-05-26 00:54:29,272] - INFO: Epoch 7805/9999, Iter 390200: Loss = 0.010606871917843819, lr = [1.25e-05] +[2024-05-26 00:54:56,263] - INFO: Epoch 7805/9999, Iter 390220: Loss = 0.013239712454378605, lr = [1.25e-05] +[2024-05-26 00:55:23,286] - INFO: Epoch 7805/9999, Iter 390240: Loss = 0.009391633793711662, lr = [1.25e-05] +[2024-05-26 00:55:35,661] - INFO: Evaluate at epoch 7805! +[2024-05-26 00:55:41,450] - INFO: Eval PSNR (max): 38.105 (7755) SSIM (max): 0.9612 (7805) +[2024-05-26 00:55:41,450] - INFO: Eval PSNR (current): 38.095 (7805) SSIM (current): 0.9612 (7805) +[2024-05-26 00:55:41,450] - INFO: Evaluation over. +[2024-05-26 00:55:59,940] - INFO: Epoch 7806/9999, Iter 390260: Loss = 0.012655728496611118, lr = [1.25e-05] +[2024-05-26 00:56:28,611] - INFO: Epoch 7806/9999, Iter 390280: Loss = 0.011603672057390213, lr = [1.25e-05] +[2024-05-26 00:56:56,972] - INFO: Epoch 7807/9999, Iter 390300: Loss = 0.015834257006645203, lr = [1.25e-05] +[2024-05-26 00:57:24,123] - INFO: Epoch 7807/9999, Iter 390320: Loss = 0.01516485121101141, lr = [1.25e-05] +[2024-05-26 00:57:50,988] - INFO: Epoch 7807/9999, Iter 390340: Loss = 0.018827207386493683, lr = [1.25e-05] +[2024-05-26 00:58:20,236] - INFO: Epoch 7808/9999, Iter 390360: Loss = 0.015028887428343296, lr = [1.25e-05] +[2024-05-26 00:58:48,104] - INFO: Epoch 7808/9999, Iter 390380: Loss = 0.012492981739342213, lr = [1.25e-05] +[2024-05-26 00:59:17,143] - INFO: Epoch 7809/9999, Iter 390400: Loss = 0.008412848226726055, lr = [1.25e-05] +[2024-05-26 00:59:44,949] - INFO: Epoch 7809/9999, Iter 390420: Loss = 0.009313932619988918, lr = [1.25e-05] +[2024-05-26 01:00:13,025] - INFO: Epoch 7809/9999, Iter 390440: Loss = 0.016749145463109016, lr = [1.25e-05] +[2024-05-26 01:00:41,159] - INFO: Epoch 7810/9999, Iter 390460: Loss = 0.019065508618950844, lr = [1.25e-05] +[2024-05-26 01:01:08,545] - INFO: Epoch 7810/9999, Iter 390480: Loss = 0.015676267445087433, lr = [1.25e-05] +[2024-05-26 01:01:34,319] - INFO: Evaluate at epoch 7810! +[2024-05-26 01:01:38,377] - INFO: Eval PSNR (max): 38.105 (7755) SSIM (max): 0.9612 (7805) +[2024-05-26 01:01:38,377] - INFO: Eval PSNR (current): 38.080 (7810) SSIM (current): 0.9611 (7810) +[2024-05-26 01:01:38,377] - INFO: Evaluation over. +[2024-05-26 01:01:43,964] - INFO: Epoch 7811/9999, Iter 390500: Loss = 0.009345567785203457, lr = [1.25e-05] +[2024-05-26 01:02:12,110] - INFO: Epoch 7811/9999, Iter 390520: Loss = 0.016162114217877388, lr = [1.25e-05] +[2024-05-26 01:02:39,380] - INFO: Epoch 7811/9999, Iter 390540: Loss = 0.006235081702470779, lr = [1.25e-05] +[2024-05-26 01:03:08,203] - INFO: Epoch 7812/9999, Iter 390560: Loss = 0.013355935923755169, lr = [1.25e-05] +[2024-05-26 01:03:34,830] - INFO: Epoch 7812/9999, Iter 390580: Loss = 0.007077719550579786, lr = [1.25e-05] +[2024-05-26 01:04:04,412] - INFO: Epoch 7813/9999, Iter 390600: Loss = 0.010440599173307419, lr = [1.25e-05] +[2024-05-26 01:04:32,283] - INFO: Epoch 7813/9999, Iter 390620: Loss = 0.013504375703632832, lr = [1.25e-05] +[2024-05-26 01:05:00,994] - INFO: Epoch 7813/9999, Iter 390640: Loss = 0.012167571112513542, lr = [1.25e-05] +[2024-05-26 01:05:29,588] - INFO: Epoch 7814/9999, Iter 390660: Loss = 0.011331130750477314, lr = [1.25e-05] +[2024-05-26 01:05:58,269] - INFO: Epoch 7814/9999, Iter 390680: Loss = 0.010818446055054665, lr = [1.25e-05] +[2024-05-26 01:06:26,800] - INFO: Epoch 7815/9999, Iter 390700: Loss = 0.0126735158264637, lr = [1.25e-05] +[2024-05-26 01:06:53,783] - INFO: Epoch 7815/9999, Iter 390720: Loss = 0.014925206080079079, lr = [1.25e-05] +[2024-05-26 01:07:21,539] - INFO: Epoch 7815/9999, Iter 390740: Loss = 0.012453839182853699, lr = [1.25e-05] +[2024-05-26 01:07:33,841] - INFO: Evaluate at epoch 7815! +[2024-05-26 01:07:37,893] - INFO: Eval PSNR (max): 38.105 (7755) SSIM (max): 0.9612 (7805) +[2024-05-26 01:07:37,893] - INFO: Eval PSNR (current): 38.088 (7815) SSIM (current): 0.9612 (7815) +[2024-05-26 01:07:37,893] - INFO: Evaluation over. +[2024-05-26 01:07:56,156] - INFO: Epoch 7816/9999, Iter 390760: Loss = 0.009686143137514591, lr = [1.25e-05] +[2024-05-26 01:08:23,564] - INFO: Epoch 7816/9999, Iter 390780: Loss = 0.012026424519717693, lr = [1.25e-05] +[2024-05-26 01:08:53,107] - INFO: Epoch 7817/9999, Iter 390800: Loss = 0.014016939327120781, lr = [1.25e-05] +[2024-05-26 01:09:19,956] - INFO: Epoch 7817/9999, Iter 390820: Loss = 0.008810587227344513, lr = [1.25e-05] +[2024-05-26 01:09:48,039] - INFO: Epoch 7817/9999, Iter 390840: Loss = 0.008940181694924831, lr = [1.25e-05] +[2024-05-26 01:10:16,687] - INFO: Epoch 7818/9999, Iter 390860: Loss = 0.010751867666840553, lr = [1.25e-05] +[2024-05-26 01:10:44,774] - INFO: Epoch 7818/9999, Iter 390880: Loss = 0.010613554157316685, lr = [1.25e-05] +[2024-05-26 01:11:14,241] - INFO: Epoch 7819/9999, Iter 390900: Loss = 0.01704213209450245, lr = [1.25e-05] +[2024-05-26 01:11:42,978] - INFO: Epoch 7819/9999, Iter 390920: Loss = 0.012110816314816475, lr = [1.25e-05] +[2024-05-26 01:12:09,627] - INFO: Epoch 7819/9999, Iter 390940: Loss = 0.014700384810566902, lr = [1.25e-05] +[2024-05-26 01:12:39,539] - INFO: Epoch 7820/9999, Iter 390960: Loss = 0.013109884224832058, lr = [1.25e-05] +[2024-05-26 01:13:07,041] - INFO: Epoch 7820/9999, Iter 390980: Loss = 0.011746704578399658, lr = [1.25e-05] +[2024-05-26 01:13:33,243] - INFO: Evaluate at epoch 7820! +[2024-05-26 01:13:37,295] - INFO: Eval PSNR (max): 38.105 (7755) SSIM (max): 0.9612 (7805) +[2024-05-26 01:13:37,295] - INFO: Eval PSNR (current): 38.087 (7820) SSIM (current): 0.9611 (7820) +[2024-05-26 01:13:37,295] - INFO: Evaluation over. +[2024-05-26 01:13:41,999] - INFO: Epoch 7821/9999, Iter 391000: Loss = 0.009743205271661282, lr = [1.25e-05] +[2024-05-26 01:14:09,963] - INFO: Epoch 7821/9999, Iter 391020: Loss = 0.016647232696413994, lr = [1.25e-05] +[2024-05-26 01:14:37,428] - INFO: Epoch 7821/9999, Iter 391040: Loss = 0.012543633580207825, lr = [1.25e-05] +[2024-05-26 01:15:06,987] - INFO: Epoch 7822/9999, Iter 391060: Loss = 0.010481948964297771, lr = [1.25e-05] +[2024-05-26 01:15:34,655] - INFO: Epoch 7822/9999, Iter 391080: Loss = 0.007980932481586933, lr = [1.25e-05] +[2024-05-26 01:16:03,459] - INFO: Epoch 7823/9999, Iter 391100: Loss = 0.01824115961790085, lr = [1.25e-05] +[2024-05-26 01:16:31,153] - INFO: Epoch 7823/9999, Iter 391120: Loss = 0.007646219804883003, lr = [1.25e-05] +[2024-05-26 01:16:58,775] - INFO: Epoch 7823/9999, Iter 391140: Loss = 0.013896412216126919, lr = [1.25e-05] +[2024-05-26 01:17:28,215] - INFO: Epoch 7824/9999, Iter 391160: Loss = 0.014061943627893925, lr = [1.25e-05] +[2024-05-26 01:17:55,031] - INFO: Epoch 7824/9999, Iter 391180: Loss = 0.01327617559581995, lr = [1.25e-05] +[2024-05-26 01:18:23,907] - INFO: Epoch 7825/9999, Iter 391200: Loss = 0.008496368303894997, lr = [1.25e-05] +[2024-05-26 01:18:51,191] - INFO: Epoch 7825/9999, Iter 391220: Loss = 0.0106958681717515, lr = [1.25e-05] +[2024-05-26 01:19:18,194] - INFO: Epoch 7825/9999, Iter 391240: Loss = 0.012197432108223438, lr = [1.25e-05] +[2024-05-26 01:19:30,630] - INFO: Evaluate at epoch 7825! +[2024-05-26 01:19:34,682] - INFO: Eval PSNR (max): 38.105 (7755) SSIM (max): 0.9612 (7805) +[2024-05-26 01:19:34,683] - INFO: Eval PSNR (current): 38.077 (7825) SSIM (current): 0.9611 (7825) +[2024-05-26 01:19:34,683] - INFO: Evaluation over. +[2024-05-26 01:19:53,043] - INFO: Epoch 7826/9999, Iter 391260: Loss = 0.0141039052978158, lr = [1.25e-05] +[2024-05-26 01:20:20,550] - INFO: Epoch 7826/9999, Iter 391280: Loss = 0.017710242420434952, lr = [1.25e-05] +[2024-05-26 01:20:49,893] - INFO: Epoch 7827/9999, Iter 391300: Loss = 0.010392670519649982, lr = [1.25e-05] +[2024-05-26 01:21:18,198] - INFO: Epoch 7827/9999, Iter 391320: Loss = 0.013615516945719719, lr = [1.25e-05] +[2024-05-26 01:21:44,963] - INFO: Epoch 7827/9999, Iter 391340: Loss = 0.015168455429375172, lr = [1.25e-05] +[2024-05-26 01:22:13,667] - INFO: Epoch 7828/9999, Iter 391360: Loss = 0.008490831591188908, lr = [1.25e-05] +[2024-05-26 01:22:41,630] - INFO: Epoch 7828/9999, Iter 391380: Loss = 0.017057672142982483, lr = [1.25e-05] +[2024-05-26 01:23:09,859] - INFO: Epoch 7829/9999, Iter 391400: Loss = 0.011991034261882305, lr = [1.25e-05] +[2024-05-26 01:23:38,753] - INFO: Epoch 7829/9999, Iter 391420: Loss = 0.012328357435762882, lr = [1.25e-05] +[2024-05-26 01:24:06,131] - INFO: Epoch 7829/9999, Iter 391440: Loss = 0.01332868356257677, lr = [1.25e-05] +[2024-05-26 01:24:35,315] - INFO: Epoch 7830/9999, Iter 391460: Loss = 0.013426326215267181, lr = [1.25e-05] +[2024-05-26 01:25:02,387] - INFO: Epoch 7830/9999, Iter 391480: Loss = 0.006917979102581739, lr = [1.25e-05] +[2024-05-26 01:25:28,435] - INFO: Evaluate at epoch 7830! +[2024-05-26 01:25:32,485] - INFO: Eval PSNR (max): 38.105 (7755) SSIM (max): 0.9612 (7805) +[2024-05-26 01:25:32,485] - INFO: Eval PSNR (current): 38.087 (7830) SSIM (current): 0.9611 (7830) +[2024-05-26 01:25:32,485] - INFO: Evaluation over. +[2024-05-26 01:25:37,582] - INFO: Epoch 7831/9999, Iter 391500: Loss = 0.014037569053471088, lr = [1.25e-05] +[2024-05-26 01:26:04,739] - INFO: Epoch 7831/9999, Iter 391520: Loss = 0.007407163269817829, lr = [1.25e-05] +[2024-05-26 01:26:32,412] - INFO: Epoch 7831/9999, Iter 391540: Loss = 0.015434930101037025, lr = [1.25e-05] +[2024-05-26 01:27:01,663] - INFO: Epoch 7832/9999, Iter 391560: Loss = 0.011133145540952682, lr = [1.25e-05] +[2024-05-26 01:27:29,792] - INFO: Epoch 7832/9999, Iter 391580: Loss = 0.01004068460315466, lr = [1.25e-05] +[2024-05-26 01:27:58,196] - INFO: Epoch 7833/9999, Iter 391600: Loss = 0.011669938452541828, lr = [1.25e-05] +[2024-05-26 01:28:26,752] - INFO: Epoch 7833/9999, Iter 391620: Loss = 0.011225779540836811, lr = [1.25e-05] +[2024-05-26 01:28:53,994] - INFO: Epoch 7833/9999, Iter 391640: Loss = 0.013390625827014446, lr = [1.25e-05] +[2024-05-26 01:29:22,619] - INFO: Epoch 7834/9999, Iter 391660: Loss = 0.01531938835978508, lr = [1.25e-05] +[2024-05-26 01:29:50,371] - INFO: Epoch 7834/9999, Iter 391680: Loss = 0.015175157226622105, lr = [1.25e-05] +[2024-05-26 01:30:19,813] - INFO: Epoch 7835/9999, Iter 391700: Loss = 0.013039148412644863, lr = [1.25e-05] +[2024-05-26 01:30:48,062] - INFO: Epoch 7835/9999, Iter 391720: Loss = 0.015956778079271317, lr = [1.25e-05] +[2024-05-26 01:31:15,475] - INFO: Epoch 7835/9999, Iter 391740: Loss = 0.008923408575356007, lr = [1.25e-05] +[2024-05-26 01:31:27,804] - INFO: Evaluate at epoch 7835! +[2024-05-26 01:31:31,849] - INFO: Eval PSNR (max): 38.105 (7755) SSIM (max): 0.9612 (7805) +[2024-05-26 01:31:31,849] - INFO: Eval PSNR (current): 38.077 (7835) SSIM (current): 0.9611 (7835) +[2024-05-26 01:31:31,849] - INFO: Evaluation over. +[2024-05-26 01:31:49,676] - INFO: Epoch 7836/9999, Iter 391760: Loss = 0.012981964275240898, lr = [1.25e-05] +[2024-05-26 01:32:17,252] - INFO: Epoch 7836/9999, Iter 391780: Loss = 0.011088371276855469, lr = [1.25e-05] +[2024-05-26 01:32:45,904] - INFO: Epoch 7837/9999, Iter 391800: Loss = 0.010393558070063591, lr = [1.25e-05] +[2024-05-26 01:33:13,227] - INFO: Epoch 7837/9999, Iter 391820: Loss = 0.014745602384209633, lr = [1.25e-05] +[2024-05-26 01:33:40,215] - INFO: Epoch 7837/9999, Iter 391840: Loss = 0.011250363662838936, lr = [1.25e-05] +[2024-05-26 01:34:09,227] - INFO: Epoch 7838/9999, Iter 391860: Loss = 0.01134493201971054, lr = [1.25e-05] +[2024-05-26 01:34:36,371] - INFO: Epoch 7838/9999, Iter 391880: Loss = 0.012828094884753227, lr = [1.25e-05] +[2024-05-26 01:35:05,938] - INFO: Epoch 7839/9999, Iter 391900: Loss = 0.009077707305550575, lr = [1.25e-05] +[2024-05-26 01:35:33,840] - INFO: Epoch 7839/9999, Iter 391920: Loss = 0.019270284101366997, lr = [1.25e-05] +[2024-05-26 01:36:01,822] - INFO: Epoch 7839/9999, Iter 391940: Loss = 0.011077014729380608, lr = [1.25e-05] +[2024-05-26 01:36:30,875] - INFO: Epoch 7840/9999, Iter 391960: Loss = 0.011195152997970581, lr = [1.25e-05] +[2024-05-26 01:36:58,607] - INFO: Epoch 7840/9999, Iter 391980: Loss = 0.009997117333114147, lr = [1.25e-05] +[2024-05-26 01:37:24,305] - INFO: Evaluate at epoch 7840! +[2024-05-26 01:37:28,367] - INFO: Eval PSNR (max): 38.105 (7755) SSIM (max): 0.9612 (7805) +[2024-05-26 01:37:28,367] - INFO: Eval PSNR (current): 38.098 (7840) SSIM (current): 0.9612 (7840) +[2024-05-26 01:37:28,367] - INFO: Evaluation over. +[2024-05-26 01:37:32,508] - INFO: Epoch 7841/9999, Iter 392000: Loss = 0.019614242017269135, lr = [1.25e-05] +[2024-05-26 01:38:00,135] - INFO: Epoch 7841/9999, Iter 392020: Loss = 0.01197755802422762, lr = [1.25e-05] +[2024-05-26 01:38:27,382] - INFO: Epoch 7841/9999, Iter 392040: Loss = 0.011332492344081402, lr = [1.25e-05] +[2024-05-26 01:38:56,866] - INFO: Epoch 7842/9999, Iter 392060: Loss = 0.010860055685043335, lr = [1.25e-05] +[2024-05-26 01:39:25,595] - INFO: Epoch 7842/9999, Iter 392080: Loss = 0.017553456127643585, lr = [1.25e-05] +[2024-05-26 01:39:54,090] - INFO: Epoch 7843/9999, Iter 392100: Loss = 0.012222055345773697, lr = [1.25e-05] +[2024-05-26 01:40:22,466] - INFO: Epoch 7843/9999, Iter 392120: Loss = 0.013030138798058033, lr = [1.25e-05] +[2024-05-26 01:40:50,092] - INFO: Epoch 7843/9999, Iter 392140: Loss = 0.006018044892698526, lr = [1.25e-05] +[2024-05-26 01:41:19,056] - INFO: Epoch 7844/9999, Iter 392160: Loss = 0.014454764313995838, lr = [1.25e-05] +[2024-05-26 01:41:46,046] - INFO: Epoch 7844/9999, Iter 392180: Loss = 0.007102096453309059, lr = [1.25e-05] +[2024-05-26 01:42:15,631] - INFO: Epoch 7845/9999, Iter 392200: Loss = 0.013333355076611042, lr = [1.25e-05] +[2024-05-26 01:42:42,847] - INFO: Epoch 7845/9999, Iter 392220: Loss = 0.01294212881475687, lr = [1.25e-05] +[2024-05-26 01:43:10,423] - INFO: Epoch 7845/9999, Iter 392240: Loss = 0.020602090284228325, lr = [1.25e-05] +[2024-05-26 01:43:23,077] - INFO: Evaluate at epoch 7845! +[2024-05-26 01:43:27,125] - INFO: Eval PSNR (max): 38.105 (7755) SSIM (max): 0.9612 (7805) +[2024-05-26 01:43:27,126] - INFO: Eval PSNR (current): 38.095 (7845) SSIM (current): 0.9612 (7845) +[2024-05-26 01:43:27,126] - INFO: Evaluation over. +[2024-05-26 01:43:45,045] - INFO: Epoch 7846/9999, Iter 392260: Loss = 0.0160074345767498, lr = [1.25e-05] +[2024-05-26 01:44:13,318] - INFO: Epoch 7846/9999, Iter 392280: Loss = 0.012590435333549976, lr = [1.25e-05] +[2024-05-26 01:44:41,614] - INFO: Epoch 7847/9999, Iter 392300: Loss = 0.011906866915524006, lr = [1.25e-05] +[2024-05-26 01:45:08,813] - INFO: Epoch 7847/9999, Iter 392320: Loss = 0.01195126585662365, lr = [1.25e-05] +[2024-05-26 01:45:35,868] - INFO: Epoch 7847/9999, Iter 392340: Loss = 0.012078868225216866, lr = [1.25e-05] +[2024-05-26 01:46:04,334] - INFO: Epoch 7848/9999, Iter 392360: Loss = 0.012243233621120453, lr = [1.25e-05] +[2024-05-26 01:46:32,955] - INFO: Epoch 7848/9999, Iter 392380: Loss = 0.007665685378015041, lr = [1.25e-05] +[2024-05-26 01:47:02,164] - INFO: Epoch 7849/9999, Iter 392400: Loss = 0.008866230957210064, lr = [1.25e-05] +[2024-05-26 01:47:30,253] - INFO: Epoch 7849/9999, Iter 392420: Loss = 0.01848292537033558, lr = [1.25e-05] +[2024-05-26 01:47:58,783] - INFO: Epoch 7849/9999, Iter 392440: Loss = 0.014145860448479652, lr = [1.25e-05] +[2024-05-26 01:48:27,770] - INFO: Epoch 7850/9999, Iter 392460: Loss = 0.014591533690690994, lr = [1.25e-05] +[2024-05-26 01:48:54,787] - INFO: Epoch 7850/9999, Iter 392480: Loss = 0.013586516492068768, lr = [1.25e-05] +[2024-05-26 01:49:20,479] - INFO: Evaluate at epoch 7850! +[2024-05-26 01:49:24,533] - INFO: Eval PSNR (max): 38.105 (7755) SSIM (max): 0.9612 (7805) +[2024-05-26 01:49:24,533] - INFO: Eval PSNR (current): 38.093 (7850) SSIM (current): 0.9611 (7850) +[2024-05-26 01:49:24,533] - INFO: Evaluation over. +[2024-05-26 01:49:29,202] - INFO: Epoch 7851/9999, Iter 392500: Loss = 0.017123762518167496, lr = [1.25e-05] +[2024-05-26 01:49:57,827] - INFO: Epoch 7851/9999, Iter 392520: Loss = 0.013200695626437664, lr = [1.25e-05] +[2024-05-26 01:50:25,479] - INFO: Epoch 7851/9999, Iter 392540: Loss = 0.014385701157152653, lr = [1.25e-05] +[2024-05-26 01:50:54,845] - INFO: Epoch 7852/9999, Iter 392560: Loss = 0.010878333821892738, lr = [1.25e-05] +[2024-05-26 01:51:22,675] - INFO: Epoch 7852/9999, Iter 392580: Loss = 0.009437019005417824, lr = [1.25e-05] +[2024-05-26 01:51:51,439] - INFO: Epoch 7853/9999, Iter 392600: Loss = 0.008742570877075195, lr = [1.25e-05] +[2024-05-26 01:52:19,279] - INFO: Epoch 7853/9999, Iter 392620: Loss = 0.008906628005206585, lr = [1.25e-05] +[2024-05-26 01:52:47,654] - INFO: Epoch 7853/9999, Iter 392640: Loss = 0.02025756612420082, lr = [1.25e-05] +[2024-05-26 01:53:16,223] - INFO: Epoch 7854/9999, Iter 392660: Loss = 0.009905396029353142, lr = [1.25e-05] +[2024-05-26 01:53:42,516] - INFO: Epoch 7854/9999, Iter 392680: Loss = 0.0164344422519207, lr = [1.25e-05] +[2024-05-26 01:54:11,828] - INFO: Epoch 7855/9999, Iter 392700: Loss = 0.012143384665250778, lr = [1.25e-05] +[2024-05-26 01:54:40,099] - INFO: Epoch 7855/9999, Iter 392720: Loss = 0.013257073238492012, lr = [1.25e-05] +[2024-05-26 01:55:07,513] - INFO: Epoch 7855/9999, Iter 392740: Loss = 0.012895805761218071, lr = [1.25e-05] +[2024-05-26 01:55:19,644] - INFO: Evaluate at epoch 7855! +[2024-05-26 01:55:23,698] - INFO: Eval PSNR (max): 38.105 (7755) SSIM (max): 0.9612 (7805) +[2024-05-26 01:55:23,698] - INFO: Eval PSNR (current): 38.093 (7855) SSIM (current): 0.9612 (7855) +[2024-05-26 01:55:23,698] - INFO: Evaluation over. +[2024-05-26 01:55:42,097] - INFO: Epoch 7856/9999, Iter 392760: Loss = 0.017267130315303802, lr = [1.25e-05] +[2024-05-26 01:56:10,805] - INFO: Epoch 7856/9999, Iter 392780: Loss = 0.012865965254604816, lr = [1.25e-05] +[2024-05-26 01:56:39,705] - INFO: Epoch 7857/9999, Iter 392800: Loss = 0.0171832088381052, lr = [1.25e-05] +[2024-05-26 01:57:07,535] - INFO: Epoch 7857/9999, Iter 392820: Loss = 0.010555854998528957, lr = [1.25e-05] +[2024-05-26 01:57:35,435] - INFO: Epoch 7857/9999, Iter 392840: Loss = 0.016523292288184166, lr = [1.25e-05] +[2024-05-26 01:58:04,447] - INFO: Epoch 7858/9999, Iter 392860: Loss = 0.014233838766813278, lr = [1.25e-05] +[2024-05-26 01:58:32,571] - INFO: Epoch 7858/9999, Iter 392880: Loss = 0.013000302016735077, lr = [1.25e-05] +[2024-05-26 01:59:01,683] - INFO: Epoch 7859/9999, Iter 392900: Loss = 0.013113216497004032, lr = [1.25e-05] +[2024-05-26 01:59:29,699] - INFO: Epoch 7859/9999, Iter 392920: Loss = 0.010237287729978561, lr = [1.25e-05] +[2024-05-26 01:59:57,712] - INFO: Epoch 7859/9999, Iter 392940: Loss = 0.01933908835053444, lr = [1.25e-05] +[2024-05-26 02:00:26,755] - INFO: Epoch 7860/9999, Iter 392960: Loss = 0.009821627289056778, lr = [1.25e-05] +[2024-05-26 02:00:53,003] - INFO: Epoch 7860/9999, Iter 392980: Loss = 0.013440171256661415, lr = [1.25e-05] +[2024-05-26 02:01:20,380] - INFO: Evaluate at epoch 7860! +[2024-05-26 02:01:24,426] - INFO: Eval PSNR (max): 38.105 (7755) SSIM (max): 0.9612 (7805) +[2024-05-26 02:01:24,426] - INFO: Eval PSNR (current): 38.093 (7860) SSIM (current): 0.9612 (7860) +[2024-05-26 02:01:24,426] - INFO: Evaluation over. +[2024-05-26 02:01:28,901] - INFO: Epoch 7861/9999, Iter 393000: Loss = 0.010534697212278843, lr = [1.25e-05] +[2024-05-26 02:01:57,503] - INFO: Epoch 7861/9999, Iter 393020: Loss = 0.006917144637554884, lr = [1.25e-05] +[2024-05-26 02:02:25,624] - INFO: Epoch 7861/9999, Iter 393040: Loss = 0.013372140005230904, lr = [1.25e-05] +[2024-05-26 02:02:54,374] - INFO: Epoch 7862/9999, Iter 393060: Loss = 0.017144938930869102, lr = [1.25e-05] +[2024-05-26 02:03:21,212] - INFO: Epoch 7862/9999, Iter 393080: Loss = 0.014806990511715412, lr = [1.25e-05] +[2024-05-26 02:03:50,292] - INFO: Epoch 7863/9999, Iter 393100: Loss = 0.011098193004727364, lr = [1.25e-05] +[2024-05-26 02:04:17,457] - INFO: Epoch 7863/9999, Iter 393120: Loss = 0.014816430397331715, lr = [1.25e-05] +[2024-05-26 02:04:44,846] - INFO: Epoch 7863/9999, Iter 393140: Loss = 0.010568826459348202, lr = [1.25e-05] +[2024-05-26 02:05:13,483] - INFO: Epoch 7864/9999, Iter 393160: Loss = 0.011754430830478668, lr = [1.25e-05] +[2024-05-26 02:05:40,707] - INFO: Epoch 7864/9999, Iter 393180: Loss = 0.01043053437024355, lr = [1.25e-05] +[2024-05-26 02:06:09,424] - INFO: Epoch 7865/9999, Iter 393200: Loss = 0.013998590409755707, lr = [1.25e-05] +[2024-05-26 02:06:36,469] - INFO: Epoch 7865/9999, Iter 393220: Loss = 0.016569146886467934, lr = [1.25e-05] +[2024-05-26 02:07:03,747] - INFO: Epoch 7865/9999, Iter 393240: Loss = 0.011350660584867, lr = [1.25e-05] +[2024-05-26 02:07:16,571] - INFO: Evaluate at epoch 7865! +[2024-05-26 02:07:20,624] - INFO: Eval PSNR (max): 38.105 (7755) SSIM (max): 0.9612 (7805) +[2024-05-26 02:07:20,625] - INFO: Eval PSNR (current): 38.100 (7865) SSIM (current): 0.9612 (7865) +[2024-05-26 02:07:20,625] - INFO: Evaluation over. +[2024-05-26 02:07:38,139] - INFO: Epoch 7866/9999, Iter 393260: Loss = 0.01254037581384182, lr = [1.25e-05] +[2024-05-26 02:08:05,967] - INFO: Epoch 7866/9999, Iter 393280: Loss = 0.020693257451057434, lr = [1.25e-05] +[2024-05-26 02:08:34,951] - INFO: Epoch 7867/9999, Iter 393300: Loss = 0.011047638021409512, lr = [1.25e-05] +[2024-05-26 02:09:02,220] - INFO: Epoch 7867/9999, Iter 393320: Loss = 0.01730959303677082, lr = [1.25e-05] +[2024-05-26 02:09:29,551] - INFO: Epoch 7867/9999, Iter 393340: Loss = 0.012806214392185211, lr = [1.25e-05] +[2024-05-26 02:09:57,927] - INFO: Epoch 7868/9999, Iter 393360: Loss = 0.015058775432407856, lr = [1.25e-05] +[2024-05-26 02:10:26,034] - INFO: Epoch 7868/9999, Iter 393380: Loss = 0.014170670881867409, lr = [1.25e-05] +[2024-05-26 02:10:55,471] - INFO: Epoch 7869/9999, Iter 393400: Loss = 0.01567176543176174, lr = [1.25e-05] +[2024-05-26 02:11:23,779] - INFO: Epoch 7869/9999, Iter 393420: Loss = 0.007882654666900635, lr = [1.25e-05] +[2024-05-26 02:11:51,658] - INFO: Epoch 7869/9999, Iter 393440: Loss = 0.012036588974297047, lr = [1.25e-05] +[2024-05-26 02:12:20,622] - INFO: Epoch 7870/9999, Iter 393460: Loss = 0.00989490281790495, lr = [1.25e-05] +[2024-05-26 02:12:47,804] - INFO: Epoch 7870/9999, Iter 393480: Loss = 0.008412986993789673, lr = [1.25e-05] +[2024-05-26 02:13:13,843] - INFO: Evaluate at epoch 7870! +[2024-05-26 02:13:17,888] - INFO: Eval PSNR (max): 38.105 (7755) SSIM (max): 0.9612 (7805) +[2024-05-26 02:13:17,889] - INFO: Eval PSNR (current): 38.101 (7870) SSIM (current): 0.9612 (7870) +[2024-05-26 02:13:17,889] - INFO: Evaluation over. +[2024-05-26 02:13:22,335] - INFO: Epoch 7871/9999, Iter 393500: Loss = 0.016787387430667877, lr = [1.25e-05] +[2024-05-26 02:13:50,960] - INFO: Epoch 7871/9999, Iter 393520: Loss = 0.011162380687892437, lr = [1.25e-05] +[2024-05-26 02:14:18,721] - INFO: Epoch 7871/9999, Iter 393540: Loss = 0.012595603242516518, lr = [1.25e-05] +[2024-05-26 02:14:47,532] - INFO: Epoch 7872/9999, Iter 393560: Loss = 0.011207346804440022, lr = [1.25e-05] +[2024-05-26 02:15:15,043] - INFO: Epoch 7872/9999, Iter 393580: Loss = 0.01202300377190113, lr = [1.25e-05] +[2024-05-26 02:15:44,419] - INFO: Epoch 7873/9999, Iter 393600: Loss = 0.009934325702488422, lr = [1.25e-05] +[2024-05-26 02:16:12,496] - INFO: Epoch 7873/9999, Iter 393620: Loss = 0.014331091195344925, lr = [1.25e-05] +[2024-05-26 02:16:40,863] - INFO: Epoch 7873/9999, Iter 393640: Loss = 0.013212444260716438, lr = [1.25e-05] +[2024-05-26 02:17:09,422] - INFO: Epoch 7874/9999, Iter 393660: Loss = 0.013331704773008823, lr = [1.25e-05] +[2024-05-26 02:17:36,646] - INFO: Epoch 7874/9999, Iter 393680: Loss = 0.010665766894817352, lr = [1.25e-05] +[2024-05-26 02:18:05,568] - INFO: Epoch 7875/9999, Iter 393700: Loss = 0.011072556488215923, lr = [1.25e-05] +[2024-05-26 02:18:33,463] - INFO: Epoch 7875/9999, Iter 393720: Loss = 0.013409795239567757, lr = [1.25e-05] +[2024-05-26 02:19:02,195] - INFO: Epoch 7875/9999, Iter 393740: Loss = 0.01323622651398182, lr = [1.25e-05] +[2024-05-26 02:19:14,207] - INFO: Evaluate at epoch 7875! +[2024-05-26 02:19:18,255] - INFO: Eval PSNR (max): 38.105 (7755) SSIM (max): 0.9612 (7805) +[2024-05-26 02:19:18,255] - INFO: Eval PSNR (current): 38.080 (7875) SSIM (current): 0.9611 (7875) +[2024-05-26 02:19:18,255] - INFO: Evaluation over. +[2024-05-26 02:19:37,046] - INFO: Epoch 7876/9999, Iter 393760: Loss = 0.014093749225139618, lr = [1.25e-05] +[2024-05-26 02:20:05,170] - INFO: Epoch 7876/9999, Iter 393780: Loss = 0.012501507066190243, lr = [1.25e-05] +[2024-05-26 02:20:34,115] - INFO: Epoch 7877/9999, Iter 393800: Loss = 0.013268775306642056, lr = [1.25e-05] +[2024-05-26 02:21:02,248] - INFO: Epoch 7877/9999, Iter 393820: Loss = 0.013645143248140812, lr = [1.25e-05] +[2024-05-26 02:21:29,495] - INFO: Epoch 7877/9999, Iter 393840: Loss = 0.012949527241289616, lr = [1.25e-05] +[2024-05-26 02:21:59,044] - INFO: Epoch 7878/9999, Iter 393860: Loss = 0.009627176448702812, lr = [1.25e-05] +[2024-05-26 02:22:27,689] - INFO: Epoch 7878/9999, Iter 393880: Loss = 0.014580154791474342, lr = [1.25e-05] +[2024-05-26 02:22:56,375] - INFO: Epoch 7879/9999, Iter 393900: Loss = 0.013919711112976074, lr = [1.25e-05] +[2024-05-26 02:23:23,276] - INFO: Epoch 7879/9999, Iter 393920: Loss = 0.008381472900509834, lr = [1.25e-05] +[2024-05-26 02:23:50,513] - INFO: Epoch 7879/9999, Iter 393940: Loss = 0.012083510868251324, lr = [1.25e-05] +[2024-05-26 02:24:19,795] - INFO: Epoch 7880/9999, Iter 393960: Loss = 0.012640262953937054, lr = [1.25e-05] +[2024-05-26 02:24:48,383] - INFO: Epoch 7880/9999, Iter 393980: Loss = 0.012794973328709602, lr = [1.25e-05] +[2024-05-26 02:25:14,382] - INFO: Evaluate at epoch 7880! +[2024-05-26 02:25:18,427] - INFO: Eval PSNR (max): 38.105 (7755) SSIM (max): 0.9612 (7805) +[2024-05-26 02:25:18,428] - INFO: Eval PSNR (current): 38.102 (7880) SSIM (current): 0.9612 (7880) +[2024-05-26 02:25:18,428] - INFO: Evaluation over. +[2024-05-26 02:25:22,808] - INFO: Epoch 7881/9999, Iter 394000: Loss = 0.009520736522972584, lr = [1.25e-05] +[2024-05-26 02:25:51,154] - INFO: Epoch 7881/9999, Iter 394020: Loss = 0.014903174713253975, lr = [1.25e-05] +[2024-05-26 02:26:19,274] - INFO: Epoch 7881/9999, Iter 394040: Loss = 0.010726681910455227, lr = [1.25e-05] +[2024-05-26 02:26:47,641] - INFO: Epoch 7882/9999, Iter 394060: Loss = 0.014709345065057278, lr = [1.25e-05] +[2024-05-26 02:27:15,391] - INFO: Epoch 7882/9999, Iter 394080: Loss = 0.017084527760744095, lr = [1.25e-05] +[2024-05-26 02:27:43,776] - INFO: Epoch 7883/9999, Iter 394100: Loss = 0.015754232183098793, lr = [1.25e-05] +[2024-05-26 02:28:11,696] - INFO: Epoch 7883/9999, Iter 394120: Loss = 0.006987744010984898, lr = [1.25e-05] +[2024-05-26 02:28:39,128] - INFO: Epoch 7883/9999, Iter 394140: Loss = 0.010355834849178791, lr = [1.25e-05] +[2024-05-26 02:29:08,172] - INFO: Epoch 7884/9999, Iter 394160: Loss = 0.012933527119457722, lr = [1.25e-05] +[2024-05-26 02:29:36,266] - INFO: Epoch 7884/9999, Iter 394180: Loss = 0.016846027225255966, lr = [1.25e-05] +[2024-05-26 02:30:05,378] - INFO: Epoch 7885/9999, Iter 394200: Loss = 0.009083625860512257, lr = [1.25e-05] +[2024-05-26 02:30:33,132] - INFO: Epoch 7885/9999, Iter 394220: Loss = 0.009265563450753689, lr = [1.25e-05] +[2024-05-26 02:31:00,527] - INFO: Epoch 7885/9999, Iter 394240: Loss = 0.012208908796310425, lr = [1.25e-05] +[2024-05-26 02:31:12,942] - INFO: Evaluate at epoch 7885! +[2024-05-26 02:31:16,987] - INFO: Eval PSNR (max): 38.105 (7755) SSIM (max): 0.9612 (7805) +[2024-05-26 02:31:16,987] - INFO: Eval PSNR (current): 38.102 (7885) SSIM (current): 0.9612 (7885) +[2024-05-26 02:31:16,987] - INFO: Evaluation over. +[2024-05-26 02:31:36,187] - INFO: Epoch 7886/9999, Iter 394260: Loss = 0.011654575355350971, lr = [1.25e-05] +[2024-05-26 02:32:04,349] - INFO: Epoch 7886/9999, Iter 394280: Loss = 0.010079030878841877, lr = [1.25e-05] +[2024-05-26 02:32:32,939] - INFO: Epoch 7887/9999, Iter 394300: Loss = 0.012713056057691574, lr = [1.25e-05] +[2024-05-26 02:33:00,506] - INFO: Epoch 7887/9999, Iter 394320: Loss = 0.0094527006149292, lr = [1.25e-05] +[2024-05-26 02:33:27,863] - INFO: Epoch 7887/9999, Iter 394340: Loss = 0.01826648600399494, lr = [1.25e-05] +[2024-05-26 02:33:57,547] - INFO: Epoch 7888/9999, Iter 394360: Loss = 0.013554858043789864, lr = [1.25e-05] +[2024-05-26 02:34:25,050] - INFO: Epoch 7888/9999, Iter 394380: Loss = 0.013095665723085403, lr = [1.25e-05] +[2024-05-26 02:34:54,140] - INFO: Epoch 7889/9999, Iter 394400: Loss = 0.009049705229699612, lr = [1.25e-05] +[2024-05-26 02:35:21,588] - INFO: Epoch 7889/9999, Iter 394420: Loss = 0.010982774198055267, lr = [1.25e-05] +[2024-05-26 02:35:48,862] - INFO: Epoch 7889/9999, Iter 394440: Loss = 0.012392496690154076, lr = [1.25e-05] +[2024-05-26 02:36:18,755] - INFO: Epoch 7890/9999, Iter 394460: Loss = 0.014186079613864422, lr = [1.25e-05] +[2024-05-26 02:36:47,257] - INFO: Epoch 7890/9999, Iter 394480: Loss = 0.012731745839118958, lr = [1.25e-05] +[2024-05-26 02:37:12,733] - INFO: Evaluate at epoch 7890! +[2024-05-26 02:37:16,781] - INFO: Eval PSNR (max): 38.105 (7755) SSIM (max): 0.9612 (7805) +[2024-05-26 02:37:16,781] - INFO: Eval PSNR (current): 38.092 (7890) SSIM (current): 0.9612 (7890) +[2024-05-26 02:37:16,781] - INFO: Evaluation over. +[2024-05-26 02:37:21,691] - INFO: Epoch 7891/9999, Iter 394500: Loss = 0.01608138345181942, lr = [1.25e-05] +[2024-05-26 02:37:50,355] - INFO: Epoch 7891/9999, Iter 394520: Loss = 0.014538049697875977, lr = [1.25e-05] +[2024-05-26 02:38:18,227] - INFO: Epoch 7891/9999, Iter 394540: Loss = 0.01689743436872959, lr = [1.25e-05] +[2024-05-26 02:38:47,427] - INFO: Epoch 7892/9999, Iter 394560: Loss = 0.009852639399468899, lr = [1.25e-05] +[2024-05-26 02:39:14,622] - INFO: Epoch 7892/9999, Iter 394580: Loss = 0.012269190512597561, lr = [1.25e-05] +[2024-05-26 02:39:43,335] - INFO: Epoch 7893/9999, Iter 394600: Loss = 0.015408878214657307, lr = [1.25e-05] +[2024-05-26 02:40:11,901] - INFO: Epoch 7893/9999, Iter 394620: Loss = 0.011460070498287678, lr = [1.25e-05] +[2024-05-26 02:40:39,629] - INFO: Epoch 7893/9999, Iter 394640: Loss = 0.014953091740608215, lr = [1.25e-05] +[2024-05-26 02:41:08,335] - INFO: Epoch 7894/9999, Iter 394660: Loss = 0.010560901835560799, lr = [1.25e-05] +[2024-05-26 02:41:36,427] - INFO: Epoch 7894/9999, Iter 394680: Loss = 0.012202270328998566, lr = [1.25e-05] +[2024-05-26 02:42:05,651] - INFO: Epoch 7895/9999, Iter 394700: Loss = 0.012835303321480751, lr = [1.25e-05] +[2024-05-26 02:42:33,795] - INFO: Epoch 7895/9999, Iter 394720: Loss = 0.012936748564243317, lr = [1.25e-05] +[2024-05-26 02:43:02,108] - INFO: Epoch 7895/9999, Iter 394740: Loss = 0.02053014747798443, lr = [1.25e-05] +[2024-05-26 02:43:13,920] - INFO: Evaluate at epoch 7895! +[2024-05-26 02:43:17,962] - INFO: Eval PSNR (max): 38.105 (7755) SSIM (max): 0.9612 (7805) +[2024-05-26 02:43:17,963] - INFO: Eval PSNR (current): 38.091 (7895) SSIM (current): 0.9612 (7895) +[2024-05-26 02:43:17,963] - INFO: Evaluation over. +[2024-05-26 02:43:36,620] - INFO: Epoch 7896/9999, Iter 394760: Loss = 0.011140699498355389, lr = [1.25e-05] +[2024-05-26 02:44:03,279] - INFO: Epoch 7896/9999, Iter 394780: Loss = 0.012416280806064606, lr = [1.25e-05] +[2024-05-26 02:44:31,868] - INFO: Epoch 7897/9999, Iter 394800: Loss = 0.01045537181198597, lr = [1.25e-05] +[2024-05-26 02:45:00,149] - INFO: Epoch 7897/9999, Iter 394820: Loss = 0.011857946403324604, lr = [1.25e-05] +[2024-05-26 02:45:27,943] - INFO: Epoch 7897/9999, Iter 394840: Loss = 0.010966113768517971, lr = [1.25e-05] +[2024-05-26 02:45:57,543] - INFO: Epoch 7898/9999, Iter 394860: Loss = 0.01548902876675129, lr = [1.25e-05] +[2024-05-26 02:46:25,606] - INFO: Epoch 7898/9999, Iter 394880: Loss = 0.01865934394299984, lr = [1.25e-05] +[2024-05-26 02:46:54,560] - INFO: Epoch 7899/9999, Iter 394900: Loss = 0.01359480805695057, lr = [1.25e-05] +[2024-05-26 02:47:22,270] - INFO: Epoch 7899/9999, Iter 394920: Loss = 0.010054522193968296, lr = [1.25e-05] +[2024-05-26 02:47:50,889] - INFO: Epoch 7899/9999, Iter 394940: Loss = 0.017873410135507584, lr = [1.25e-05] +[2024-05-26 02:48:20,041] - INFO: Epoch 7900/9999, Iter 394960: Loss = 0.012430887669324875, lr = [1.25e-05] +[2024-05-26 02:48:48,763] - INFO: Epoch 7900/9999, Iter 394980: Loss = 0.010004599578678608, lr = [1.25e-05] +[2024-05-26 02:49:14,517] - INFO: Evaluate at epoch 7900! +[2024-05-26 02:49:18,583] - INFO: Eval PSNR (max): 38.105 (7755) SSIM (max): 0.9612 (7805) +[2024-05-26 02:49:18,584] - INFO: Eval PSNR (current): 38.098 (7900) SSIM (current): 0.9612 (7900) +[2024-05-26 02:49:18,584] - INFO: Evaluation over. +[2024-05-26 02:49:23,321] - INFO: Epoch 7901/9999, Iter 395000: Loss = 0.01176250446587801, lr = [1.25e-05] +[2024-05-26 02:49:51,748] - INFO: Epoch 7901/9999, Iter 395020: Loss = 0.015698470175266266, lr = [1.25e-05] +[2024-05-26 02:50:19,824] - INFO: Epoch 7901/9999, Iter 395040: Loss = 0.017947662621736526, lr = [1.25e-05] +[2024-05-26 02:50:48,715] - INFO: Epoch 7902/9999, Iter 395060: Loss = 0.014056025072932243, lr = [1.25e-05] +[2024-05-26 02:51:15,730] - INFO: Epoch 7902/9999, Iter 395080: Loss = 0.011480391025543213, lr = [1.25e-05] +[2024-05-26 02:51:44,504] - INFO: Epoch 7903/9999, Iter 395100: Loss = 0.01273366529494524, lr = [1.25e-05] +[2024-05-26 02:52:12,947] - INFO: Epoch 7903/9999, Iter 395120: Loss = 0.014191382564604282, lr = [1.25e-05] +[2024-05-26 02:52:39,501] - INFO: Epoch 7903/9999, Iter 395140: Loss = 0.017167238518595695, lr = [1.25e-05] +[2024-05-26 02:53:08,122] - INFO: Epoch 7904/9999, Iter 395160: Loss = 0.015437169000506401, lr = [1.25e-05] +[2024-05-26 02:53:35,643] - INFO: Epoch 7904/9999, Iter 395180: Loss = 0.012177631258964539, lr = [1.25e-05] +[2024-05-26 02:54:04,016] - INFO: Epoch 7905/9999, Iter 395200: Loss = 0.014138824306428432, lr = [1.25e-05] +[2024-05-26 02:54:32,047] - INFO: Epoch 7905/9999, Iter 395220: Loss = 0.014043529517948627, lr = [1.25e-05] +[2024-05-26 02:55:00,487] - INFO: Epoch 7905/9999, Iter 395240: Loss = 0.012923264876008034, lr = [1.25e-05] +[2024-05-26 02:55:12,624] - INFO: Evaluate at epoch 7905! +[2024-05-26 02:55:16,684] - INFO: Eval PSNR (max): 38.105 (7755) SSIM (max): 0.9612 (7805) +[2024-05-26 02:55:16,685] - INFO: Eval PSNR (current): 38.092 (7905) SSIM (current): 0.9611 (7905) +[2024-05-26 02:55:16,685] - INFO: Evaluation over. +[2024-05-26 02:55:34,489] - INFO: Epoch 7906/9999, Iter 395260: Loss = 0.01189920213073492, lr = [1.25e-05] +[2024-05-26 02:56:02,213] - INFO: Epoch 7906/9999, Iter 395280: Loss = 0.012306769378483295, lr = [1.25e-05] +[2024-05-26 02:56:31,440] - INFO: Epoch 7907/9999, Iter 395300: Loss = 0.014104103669524193, lr = [1.25e-05] +[2024-05-26 02:57:00,226] - INFO: Epoch 7907/9999, Iter 395320: Loss = 0.013311821036040783, lr = [1.25e-05] +[2024-05-26 02:57:28,050] - INFO: Epoch 7907/9999, Iter 395340: Loss = 0.011528735049068928, lr = [1.25e-05] +[2024-05-26 02:57:57,086] - INFO: Epoch 7908/9999, Iter 395360: Loss = 0.010731888003647327, lr = [1.25e-05] +[2024-05-26 02:58:25,299] - INFO: Epoch 7908/9999, Iter 395380: Loss = 0.01433786191046238, lr = [1.25e-05] +[2024-05-26 02:58:54,011] - INFO: Epoch 7909/9999, Iter 395400: Loss = 0.014444516971707344, lr = [1.25e-05] +[2024-05-26 02:59:22,512] - INFO: Epoch 7909/9999, Iter 395420: Loss = 0.013917213305830956, lr = [1.25e-05] +[2024-05-26 02:59:50,351] - INFO: Epoch 7909/9999, Iter 395440: Loss = 0.010208509862422943, lr = [1.25e-05] +[2024-05-26 03:00:18,868] - INFO: Epoch 7910/9999, Iter 395460: Loss = 0.009922676719725132, lr = [1.25e-05] +[2024-05-26 03:00:45,886] - INFO: Epoch 7910/9999, Iter 395480: Loss = 0.012347993440926075, lr = [1.25e-05] +[2024-05-26 03:01:12,673] - INFO: Evaluate at epoch 7910! +[2024-05-26 03:01:16,736] - INFO: Eval PSNR (max): 38.105 (7755) SSIM (max): 0.9612 (7805) +[2024-05-26 03:01:16,736] - INFO: Eval PSNR (current): 38.096 (7910) SSIM (current): 0.9611 (7910) +[2024-05-26 03:01:16,736] - INFO: Evaluation over. +[2024-05-26 03:01:20,900] - INFO: Epoch 7911/9999, Iter 395500: Loss = 0.012668941169977188, lr = [1.25e-05] +[2024-05-26 03:01:49,401] - INFO: Epoch 7911/9999, Iter 395520: Loss = 0.018717903643846512, lr = [1.25e-05] +[2024-05-26 03:02:17,369] - INFO: Epoch 7911/9999, Iter 395540: Loss = 0.011011241003870964, lr = [1.25e-05] +[2024-05-26 03:02:45,748] - INFO: Epoch 7912/9999, Iter 395560: Loss = 0.015120921656489372, lr = [1.25e-05] +[2024-05-26 03:03:13,160] - INFO: Epoch 7912/9999, Iter 395580: Loss = 0.00877352524548769, lr = [1.25e-05] +[2024-05-26 03:03:41,988] - INFO: Epoch 7913/9999, Iter 395600: Loss = 0.016603032127022743, lr = [1.25e-05] +[2024-05-26 03:04:10,771] - INFO: Epoch 7913/9999, Iter 395620: Loss = 0.01018315739929676, lr = [1.25e-05] +[2024-05-26 03:04:38,679] - INFO: Epoch 7913/9999, Iter 395640: Loss = 0.011630130931735039, lr = [1.25e-05] +[2024-05-26 03:05:06,479] - INFO: Epoch 7914/9999, Iter 395660: Loss = 0.012230206280946732, lr = [1.25e-05] +[2024-05-26 03:05:34,709] - INFO: Epoch 7914/9999, Iter 395680: Loss = 0.013026262633502483, lr = [1.25e-05] +[2024-05-26 03:06:04,179] - INFO: Epoch 7915/9999, Iter 395700: Loss = 0.009610875509679317, lr = [1.25e-05] +[2024-05-26 03:06:31,672] - INFO: Epoch 7915/9999, Iter 395720: Loss = 0.01748608611524105, lr = [1.25e-05] +[2024-05-26 03:06:58,875] - INFO: Epoch 7915/9999, Iter 395740: Loss = 0.017474612221121788, lr = [1.25e-05] +[2024-05-26 03:07:10,871] - INFO: Evaluate at epoch 7915! +[2024-05-26 03:07:14,935] - INFO: Eval PSNR (max): 38.105 (7755) SSIM (max): 0.9612 (7805) +[2024-05-26 03:07:14,935] - INFO: Eval PSNR (current): 38.085 (7915) SSIM (current): 0.9611 (7915) +[2024-05-26 03:07:14,935] - INFO: Evaluation over. +[2024-05-26 03:07:33,467] - INFO: Epoch 7916/9999, Iter 395760: Loss = 0.013769512064754963, lr = [1.25e-05] +[2024-05-26 03:08:00,883] - INFO: Epoch 7916/9999, Iter 395780: Loss = 0.013363265432417393, lr = [1.25e-05] +[2024-05-26 03:08:30,172] - INFO: Epoch 7917/9999, Iter 395800: Loss = 0.016678858548402786, lr = [1.25e-05] +[2024-05-26 03:08:57,154] - INFO: Epoch 7917/9999, Iter 395820: Loss = 0.0109374625608325, lr = [1.25e-05] +[2024-05-26 03:09:24,017] - INFO: Epoch 7917/9999, Iter 395840: Loss = 0.009395409375429153, lr = [1.25e-05] +[2024-05-26 03:09:54,108] - INFO: Epoch 7918/9999, Iter 395860: Loss = 0.010816466994583607, lr = [1.25e-05] +[2024-05-26 03:10:21,975] - INFO: Epoch 7918/9999, Iter 395880: Loss = 0.012452546507120132, lr = [1.25e-05] +[2024-05-26 03:10:50,979] - INFO: Epoch 7919/9999, Iter 395900: Loss = 0.010496614500880241, lr = [1.25e-05] +[2024-05-26 03:11:18,082] - INFO: Epoch 7919/9999, Iter 395920: Loss = 0.010422231629490852, lr = [1.25e-05] +[2024-05-26 03:11:45,424] - INFO: Epoch 7919/9999, Iter 395940: Loss = 0.017998456954956055, lr = [1.25e-05] +[2024-05-26 03:12:14,567] - INFO: Epoch 7920/9999, Iter 395960: Loss = 0.011727500706911087, lr = [1.25e-05] +[2024-05-26 03:12:42,591] - INFO: Epoch 7920/9999, Iter 395980: Loss = 0.014117426238954067, lr = [1.25e-05] +[2024-05-26 03:13:08,994] - INFO: Evaluate at epoch 7920! +[2024-05-26 03:13:13,056] - INFO: Eval PSNR (max): 38.105 (7755) SSIM (max): 0.9612 (7805) +[2024-05-26 03:13:13,056] - INFO: Eval PSNR (current): 38.087 (7920) SSIM (current): 0.9611 (7920) +[2024-05-26 03:13:13,057] - INFO: Evaluation over. +[2024-05-26 03:13:17,595] - INFO: Epoch 7921/9999, Iter 396000: Loss = 0.012959425337612629, lr = [1.25e-05] +[2024-05-26 03:13:44,779] - INFO: Epoch 7921/9999, Iter 396020: Loss = 0.014428765513002872, lr = [1.25e-05] +[2024-05-26 03:14:11,854] - INFO: Epoch 7921/9999, Iter 396040: Loss = 0.01341298595070839, lr = [1.25e-05] +[2024-05-26 03:14:41,147] - INFO: Epoch 7922/9999, Iter 396060: Loss = 0.01286137755960226, lr = [1.25e-05] +[2024-05-26 03:15:08,955] - INFO: Epoch 7922/9999, Iter 396080: Loss = 0.010372854769229889, lr = [1.25e-05] +[2024-05-26 03:15:36,968] - INFO: Epoch 7923/9999, Iter 396100: Loss = 0.008094613440334797, lr = [1.25e-05] +[2024-05-26 03:16:05,265] - INFO: Epoch 7923/9999, Iter 396120: Loss = 0.01248427014797926, lr = [1.25e-05] +[2024-05-26 03:16:33,756] - INFO: Epoch 7923/9999, Iter 396140: Loss = 0.00856089312583208, lr = [1.25e-05] +[2024-05-26 03:17:02,479] - INFO: Epoch 7924/9999, Iter 396160: Loss = 0.008785168640315533, lr = [1.25e-05] +[2024-05-26 03:17:31,123] - INFO: Epoch 7924/9999, Iter 396180: Loss = 0.013646894134581089, lr = [1.25e-05] +[2024-05-26 03:17:59,231] - INFO: Epoch 7925/9999, Iter 396200: Loss = 0.01128428429365158, lr = [1.25e-05] +[2024-05-26 03:18:26,267] - INFO: Epoch 7925/9999, Iter 396220: Loss = 0.015843261033296585, lr = [1.25e-05] +[2024-05-26 03:18:53,204] - INFO: Epoch 7925/9999, Iter 396240: Loss = 0.007266758941113949, lr = [1.25e-05] +[2024-05-26 03:19:05,786] - INFO: Evaluate at epoch 7925! +[2024-05-26 03:19:09,839] - INFO: Eval PSNR (max): 38.105 (7755) SSIM (max): 0.9612 (7805) +[2024-05-26 03:19:09,840] - INFO: Eval PSNR (current): 38.095 (7925) SSIM (current): 0.9611 (7925) +[2024-05-26 03:19:09,840] - INFO: Evaluation over. +[2024-05-26 03:19:28,667] - INFO: Epoch 7926/9999, Iter 396260: Loss = 0.011381478048861027, lr = [1.25e-05] +[2024-05-26 03:19:55,707] - INFO: Epoch 7926/9999, Iter 396280: Loss = 0.01413674745708704, lr = [1.25e-05] +[2024-05-26 03:20:24,639] - INFO: Epoch 7927/9999, Iter 396300: Loss = 0.006998936180025339, lr = [1.25e-05] +[2024-05-26 03:20:52,410] - INFO: Epoch 7927/9999, Iter 396320: Loss = 0.01834096759557724, lr = [1.25e-05] +[2024-05-26 03:21:21,192] - INFO: Epoch 7927/9999, Iter 396340: Loss = 0.014636448584496975, lr = [1.25e-05] +[2024-05-26 03:21:49,323] - INFO: Epoch 7928/9999, Iter 396360: Loss = 0.011708589270710945, lr = [1.25e-05] +[2024-05-26 03:22:16,647] - INFO: Epoch 7928/9999, Iter 396380: Loss = 0.01196131482720375, lr = [1.25e-05] +[2024-05-26 03:22:44,911] - INFO: Epoch 7929/9999, Iter 396400: Loss = 0.008927427232265472, lr = [1.25e-05] +[2024-05-26 03:23:12,582] - INFO: Epoch 7929/9999, Iter 396420: Loss = 0.012501723133027554, lr = [1.25e-05] +[2024-05-26 03:23:39,439] - INFO: Epoch 7929/9999, Iter 396440: Loss = 0.017729323357343674, lr = [1.25e-05] +[2024-05-26 03:24:08,195] - INFO: Epoch 7930/9999, Iter 396460: Loss = 0.011576581746339798, lr = [1.25e-05] +[2024-05-26 03:24:35,108] - INFO: Epoch 7930/9999, Iter 396480: Loss = 0.01365600060671568, lr = [1.25e-05] +[2024-05-26 03:25:01,541] - INFO: Evaluate at epoch 7930! +[2024-05-26 03:25:05,592] - INFO: Eval PSNR (max): 38.105 (7755) SSIM (max): 0.9612 (7805) +[2024-05-26 03:25:05,593] - INFO: Eval PSNR (current): 38.087 (7930) SSIM (current): 0.9611 (7930) +[2024-05-26 03:25:05,593] - INFO: Evaluation over. +[2024-05-26 03:25:10,155] - INFO: Epoch 7931/9999, Iter 396500: Loss = 0.0132486866787076, lr = [1.25e-05] +[2024-05-26 03:25:38,322] - INFO: Epoch 7931/9999, Iter 396520: Loss = 0.006549765821546316, lr = [1.25e-05] +[2024-05-26 03:26:06,639] - INFO: Epoch 7931/9999, Iter 396540: Loss = 0.012123790569603443, lr = [1.25e-05] +[2024-05-26 03:26:35,234] - INFO: Epoch 7932/9999, Iter 396560: Loss = 0.012164535000920296, lr = [1.25e-05] +[2024-05-26 03:27:03,091] - INFO: Epoch 7932/9999, Iter 396580: Loss = 0.010600249283015728, lr = [1.25e-05] +[2024-05-26 03:27:31,620] - INFO: Epoch 7933/9999, Iter 396600: Loss = 0.018467405810952187, lr = [1.25e-05] +[2024-05-26 03:27:59,955] - INFO: Epoch 7933/9999, Iter 396620: Loss = 0.009048638865351677, lr = [1.25e-05] +[2024-05-26 03:28:28,171] - INFO: Epoch 7933/9999, Iter 396640: Loss = 0.011252619326114655, lr = [1.25e-05] +[2024-05-26 03:28:57,003] - INFO: Epoch 7934/9999, Iter 396660: Loss = 0.016383277252316475, lr = [1.25e-05] +[2024-05-26 03:29:25,551] - INFO: Epoch 7934/9999, Iter 396680: Loss = 0.006001176778227091, lr = [1.25e-05] +[2024-05-26 03:29:54,268] - INFO: Epoch 7935/9999, Iter 396700: Loss = 0.012171863578259945, lr = [1.25e-05] +[2024-05-26 03:30:21,468] - INFO: Epoch 7935/9999, Iter 396720: Loss = 0.017596853896975517, lr = [1.25e-05] +[2024-05-26 03:30:48,351] - INFO: Epoch 7935/9999, Iter 396740: Loss = 0.010811270214617252, lr = [1.25e-05] +[2024-05-26 03:31:01,366] - INFO: Evaluate at epoch 7935! +[2024-05-26 03:31:05,419] - INFO: Eval PSNR (max): 38.105 (7755) SSIM (max): 0.9612 (7805) +[2024-05-26 03:31:05,419] - INFO: Eval PSNR (current): 38.100 (7935) SSIM (current): 0.9611 (7935) +[2024-05-26 03:31:05,419] - INFO: Evaluation over. +[2024-05-26 03:31:23,575] - INFO: Epoch 7936/9999, Iter 396760: Loss = 0.01024065725505352, lr = [1.25e-05] +[2024-05-26 03:31:50,889] - INFO: Epoch 7936/9999, Iter 396780: Loss = 0.01627149060368538, lr = [1.25e-05] +[2024-05-26 03:32:19,883] - INFO: Epoch 7937/9999, Iter 396800: Loss = 0.015498925931751728, lr = [1.25e-05] +[2024-05-26 03:32:47,403] - INFO: Epoch 7937/9999, Iter 396820: Loss = 0.01600552350282669, lr = [1.25e-05] +[2024-05-26 03:33:14,436] - INFO: Epoch 7937/9999, Iter 396840: Loss = 0.00866827741265297, lr = [1.25e-05] +[2024-05-26 03:33:43,911] - INFO: Epoch 7938/9999, Iter 396860: Loss = 0.012881968170404434, lr = [1.25e-05] +[2024-05-26 03:34:11,119] - INFO: Epoch 7938/9999, Iter 396880: Loss = 0.011945183388888836, lr = [1.25e-05] +[2024-05-26 03:34:40,431] - INFO: Epoch 7939/9999, Iter 396900: Loss = 0.013169149868190289, lr = [1.25e-05] +[2024-05-26 03:35:09,128] - INFO: Epoch 7939/9999, Iter 396920: Loss = 0.017392951995134354, lr = [1.25e-05] +[2024-05-26 03:35:36,562] - INFO: Epoch 7939/9999, Iter 396940: Loss = 0.014078997075557709, lr = [1.25e-05] +[2024-05-26 03:36:05,767] - INFO: Epoch 7940/9999, Iter 396960: Loss = 0.01317150890827179, lr = [1.25e-05] +[2024-05-26 03:36:32,958] - INFO: Epoch 7940/9999, Iter 396980: Loss = 0.015787983313202858, lr = [1.25e-05] +[2024-05-26 03:36:59,461] - INFO: Evaluate at epoch 7940! +[2024-05-26 03:37:03,520] - INFO: Eval PSNR (max): 38.105 (7755) SSIM (max): 0.9612 (7805) +[2024-05-26 03:37:03,520] - INFO: Eval PSNR (current): 38.094 (7940) SSIM (current): 0.9611 (7940) +[2024-05-26 03:37:03,520] - INFO: Evaluation over. +[2024-05-26 03:37:07,895] - INFO: Epoch 7941/9999, Iter 397000: Loss = 0.010722584091126919, lr = [1.25e-05] +[2024-05-26 03:37:35,599] - INFO: Epoch 7941/9999, Iter 397020: Loss = 0.010229342617094517, lr = [1.25e-05] +[2024-05-26 03:38:02,775] - INFO: Epoch 7941/9999, Iter 397040: Loss = 0.017215600237250328, lr = [1.25e-05] +[2024-05-26 03:38:30,963] - INFO: Epoch 7942/9999, Iter 397060: Loss = 0.011539692990481853, lr = [1.25e-05] +[2024-05-26 03:38:59,536] - INFO: Epoch 7942/9999, Iter 397080: Loss = 0.014447057619690895, lr = [1.25e-05] +[2024-05-26 03:39:28,739] - INFO: Epoch 7943/9999, Iter 397100: Loss = 0.0142151964828372, lr = [1.25e-05] +[2024-05-26 03:39:56,950] - INFO: Epoch 7943/9999, Iter 397120: Loss = 0.01385869923979044, lr = [1.25e-05] +[2024-05-26 03:40:24,675] - INFO: Epoch 7943/9999, Iter 397140: Loss = 0.014961959794163704, lr = [1.25e-05] +[2024-05-26 03:40:53,604] - INFO: Epoch 7944/9999, Iter 397160: Loss = 0.01866913214325905, lr = [1.25e-05] +[2024-05-26 03:41:21,979] - INFO: Epoch 7944/9999, Iter 397180: Loss = 0.01372515968978405, lr = [1.25e-05] +[2024-05-26 03:41:50,184] - INFO: Epoch 7945/9999, Iter 397200: Loss = 0.013818162493407726, lr = [1.25e-05] +[2024-05-26 03:42:18,824] - INFO: Epoch 7945/9999, Iter 397220: Loss = 0.01683077961206436, lr = [1.25e-05] +[2024-05-26 03:42:46,515] - INFO: Epoch 7945/9999, Iter 397240: Loss = 0.011923454701900482, lr = [1.25e-05] +[2024-05-26 03:42:58,356] - INFO: Evaluate at epoch 7945! +[2024-05-26 03:43:02,407] - INFO: Eval PSNR (max): 38.105 (7755) SSIM (max): 0.9612 (7805) +[2024-05-26 03:43:02,407] - INFO: Eval PSNR (current): 38.093 (7945) SSIM (current): 0.9612 (7945) +[2024-05-26 03:43:02,407] - INFO: Evaluation over. +[2024-05-26 03:43:20,819] - INFO: Epoch 7946/9999, Iter 397260: Loss = 0.015536225400865078, lr = [1.25e-05] +[2024-05-26 03:43:49,327] - INFO: Epoch 7946/9999, Iter 397280: Loss = 0.0114190224558115, lr = [1.25e-05] +[2024-05-26 03:44:17,959] - INFO: Epoch 7947/9999, Iter 397300: Loss = 0.008968106471002102, lr = [1.25e-05] +[2024-05-26 03:44:45,003] - INFO: Epoch 7947/9999, Iter 397320: Loss = 0.013355091214179993, lr = [1.25e-05] +[2024-05-26 03:45:12,751] - INFO: Epoch 7947/9999, Iter 397340: Loss = 0.010887269861996174, lr = [1.25e-05] +[2024-05-26 03:45:42,558] - INFO: Epoch 7948/9999, Iter 397360: Loss = 0.01106941793113947, lr = [1.25e-05] +[2024-05-26 03:46:10,386] - INFO: Epoch 7948/9999, Iter 397380: Loss = 0.015503086149692535, lr = [1.25e-05] +[2024-05-26 03:46:38,988] - INFO: Epoch 7949/9999, Iter 397400: Loss = 0.010918516665697098, lr = [1.25e-05] +[2024-05-26 03:47:06,963] - INFO: Epoch 7949/9999, Iter 397420: Loss = 0.016700198873877525, lr = [1.25e-05] +[2024-05-26 03:47:35,219] - INFO: Epoch 7949/9999, Iter 397440: Loss = 0.014945138245821, lr = [1.25e-05] +[2024-05-26 03:48:03,617] - INFO: Epoch 7950/9999, Iter 397460: Loss = 0.009605113416910172, lr = [1.25e-05] +[2024-05-26 03:48:30,634] - INFO: Epoch 7950/9999, Iter 397480: Loss = 0.008821194060146809, lr = [1.25e-05] +[2024-05-26 03:48:56,695] - INFO: Evaluate at epoch 7950! +[2024-05-26 03:49:00,787] - INFO: Eval PSNR (max): 38.105 (7755) SSIM (max): 0.9612 (7805) +[2024-05-26 03:49:00,787] - INFO: Eval PSNR (current): 38.092 (7950) SSIM (current): 0.9611 (7950) +[2024-05-26 03:49:00,787] - INFO: Evaluation over. +[2024-05-26 03:49:05,677] - INFO: Epoch 7951/9999, Iter 397500: Loss = 0.013409445993602276, lr = [1.25e-05] +[2024-05-26 03:49:33,034] - INFO: Epoch 7951/9999, Iter 397520: Loss = 0.011909442953765392, lr = [1.25e-05] +[2024-05-26 03:50:01,677] - INFO: Epoch 7951/9999, Iter 397540: Loss = 0.021274633705615997, lr = [1.25e-05] +[2024-05-26 03:50:30,688] - INFO: Epoch 7952/9999, Iter 397560: Loss = 0.009736086241900921, lr = [1.25e-05] +[2024-05-26 03:50:58,931] - INFO: Epoch 7952/9999, Iter 397580: Loss = 0.01916860044002533, lr = [1.25e-05] +[2024-05-26 03:51:27,880] - INFO: Epoch 7953/9999, Iter 397600: Loss = 0.010167229920625687, lr = [1.25e-05] +[2024-05-26 03:51:55,365] - INFO: Epoch 7953/9999, Iter 397620: Loss = 0.011274037882685661, lr = [1.25e-05] +[2024-05-26 03:52:22,314] - INFO: Epoch 7953/9999, Iter 397640: Loss = 0.014819006435573101, lr = [1.25e-05] +[2024-05-26 03:52:51,797] - INFO: Epoch 7954/9999, Iter 397660: Loss = 0.007371669635176659, lr = [1.25e-05] +[2024-05-26 03:53:19,250] - INFO: Epoch 7954/9999, Iter 397680: Loss = 0.009045397862792015, lr = [1.25e-05] +[2024-05-26 03:53:47,875] - INFO: Epoch 7955/9999, Iter 397700: Loss = 0.012654979713261127, lr = [1.25e-05] +[2024-05-26 03:54:15,230] - INFO: Epoch 7955/9999, Iter 397720: Loss = 0.01654176227748394, lr = [1.25e-05] +[2024-05-26 03:54:42,189] - INFO: Epoch 7955/9999, Iter 397740: Loss = 0.013481928035616875, lr = [1.25e-05] +[2024-05-26 03:54:54,746] - INFO: Evaluate at epoch 7955! +[2024-05-26 03:54:58,802] - INFO: Eval PSNR (max): 38.105 (7755) SSIM (max): 0.9612 (7805) +[2024-05-26 03:54:58,802] - INFO: Eval PSNR (current): 38.101 (7955) SSIM (current): 0.9612 (7955) +[2024-05-26 03:54:58,802] - INFO: Evaluation over. +[2024-05-26 03:55:16,943] - INFO: Epoch 7956/9999, Iter 397760: Loss = 0.010183350183069706, lr = [1.25e-05] +[2024-05-26 03:55:45,623] - INFO: Epoch 7956/9999, Iter 397780: Loss = 0.010688005946576595, lr = [1.25e-05] +[2024-05-26 03:56:14,559] - INFO: Epoch 7957/9999, Iter 397800: Loss = 0.012772230431437492, lr = [1.25e-05] +[2024-05-26 03:56:41,819] - INFO: Epoch 7957/9999, Iter 397820: Loss = 0.008124721236526966, lr = [1.25e-05] +[2024-05-26 03:57:09,840] - INFO: Epoch 7957/9999, Iter 397840: Loss = 0.016135964542627335, lr = [1.25e-05] +[2024-05-26 03:57:38,667] - INFO: Epoch 7958/9999, Iter 397860: Loss = 0.00996461696922779, lr = [1.25e-05] +[2024-05-26 03:58:07,043] - INFO: Epoch 7958/9999, Iter 397880: Loss = 0.01647462137043476, lr = [1.25e-05] +[2024-05-26 03:58:36,166] - INFO: Epoch 7959/9999, Iter 397900: Loss = 0.017522040754556656, lr = [1.25e-05] +[2024-05-26 03:59:04,340] - INFO: Epoch 7959/9999, Iter 397920: Loss = 0.015662599354982376, lr = [1.25e-05] +[2024-05-26 03:59:31,609] - INFO: Epoch 7959/9999, Iter 397940: Loss = 0.010698442347347736, lr = [1.25e-05] +[2024-05-26 04:00:01,600] - INFO: Epoch 7960/9999, Iter 397960: Loss = 0.00827887561172247, lr = [1.25e-05] +[2024-05-26 04:00:28,610] - INFO: Epoch 7960/9999, Iter 397980: Loss = 0.01261229533702135, lr = [1.25e-05] +[2024-05-26 04:00:55,266] - INFO: Evaluate at epoch 7960! +[2024-05-26 04:00:59,321] - INFO: Eval PSNR (max): 38.105 (7755) SSIM (max): 0.9612 (7805) +[2024-05-26 04:00:59,322] - INFO: Eval PSNR (current): 38.084 (7960) SSIM (current): 0.9612 (7960) +[2024-05-26 04:00:59,322] - INFO: Evaluation over. +[2024-05-26 04:01:03,805] - INFO: Epoch 7961/9999, Iter 398000: Loss = 0.01411463413387537, lr = [1.25e-05] +[2024-05-26 04:01:30,651] - INFO: Epoch 7961/9999, Iter 398020: Loss = 0.009829510934650898, lr = [1.25e-05] +[2024-05-26 04:01:57,576] - INFO: Epoch 7961/9999, Iter 398040: Loss = 0.013685016892850399, lr = [1.25e-05] +[2024-05-26 04:02:26,615] - INFO: Epoch 7962/9999, Iter 398060: Loss = 0.013517807237803936, lr = [1.25e-05] +[2024-05-26 04:02:53,903] - INFO: Epoch 7962/9999, Iter 398080: Loss = 0.014209496788680553, lr = [1.25e-05] +[2024-05-26 04:03:22,849] - INFO: Epoch 7963/9999, Iter 398100: Loss = 0.010919949971139431, lr = [1.25e-05] +[2024-05-26 04:03:50,671] - INFO: Epoch 7963/9999, Iter 398120: Loss = 0.013305670581758022, lr = [1.25e-05] +[2024-05-26 04:04:18,426] - INFO: Epoch 7963/9999, Iter 398140: Loss = 0.00872498657554388, lr = [1.25e-05] +[2024-05-26 04:04:47,668] - INFO: Epoch 7964/9999, Iter 398160: Loss = 0.012612251564860344, lr = [1.25e-05] +[2024-05-26 04:05:14,319] - INFO: Epoch 7964/9999, Iter 398180: Loss = 0.00918928999453783, lr = [1.25e-05] +[2024-05-26 04:05:43,996] - INFO: Epoch 7965/9999, Iter 398200: Loss = 0.01229936070740223, lr = [1.25e-05] +[2024-05-26 04:06:10,862] - INFO: Epoch 7965/9999, Iter 398220: Loss = 0.009607057087123394, lr = [1.25e-05] +[2024-05-26 04:06:38,127] - INFO: Epoch 7965/9999, Iter 398240: Loss = 0.014155525714159012, lr = [1.25e-05] +[2024-05-26 04:06:50,505] - INFO: Evaluate at epoch 7965! +[2024-05-26 04:06:54,558] - INFO: Eval PSNR (max): 38.105 (7755) SSIM (max): 0.9612 (7805) +[2024-05-26 04:06:54,558] - INFO: Eval PSNR (current): 38.086 (7965) SSIM (current): 0.9611 (7965) +[2024-05-26 04:06:54,558] - INFO: Evaluation over. +[2024-05-26 04:07:11,948] - INFO: Epoch 7966/9999, Iter 398260: Loss = 0.021669944748282433, lr = [1.25e-05] +[2024-05-26 04:07:39,922] - INFO: Epoch 7966/9999, Iter 398280: Loss = 0.013044269755482674, lr = [1.25e-05] +[2024-05-26 04:08:09,484] - INFO: Epoch 7967/9999, Iter 398300: Loss = 0.013206960633397102, lr = [1.25e-05] +[2024-05-26 04:08:37,184] - INFO: Epoch 7967/9999, Iter 398320: Loss = 0.01708979718387127, lr = [1.25e-05] +[2024-05-26 04:09:03,456] - INFO: Epoch 7967/9999, Iter 398340: Loss = 0.011746221221983433, lr = [1.25e-05] +[2024-05-26 04:09:32,380] - INFO: Epoch 7968/9999, Iter 398360: Loss = 0.00535742798820138, lr = [1.25e-05] +[2024-05-26 04:09:58,871] - INFO: Epoch 7968/9999, Iter 398380: Loss = 0.018288422375917435, lr = [1.25e-05] +[2024-05-26 04:10:28,078] - INFO: Epoch 7969/9999, Iter 398400: Loss = 0.010921947658061981, lr = [1.25e-05] +[2024-05-26 04:10:56,025] - INFO: Epoch 7969/9999, Iter 398420: Loss = 0.012960255146026611, lr = [1.25e-05] +[2024-05-26 04:11:24,691] - INFO: Epoch 7969/9999, Iter 398440: Loss = 0.01255000289529562, lr = [1.25e-05] +[2024-05-26 04:11:53,187] - INFO: Epoch 7970/9999, Iter 398460: Loss = 0.012072933837771416, lr = [1.25e-05] +[2024-05-26 04:12:21,811] - INFO: Epoch 7970/9999, Iter 398480: Loss = 0.014344780705869198, lr = [1.25e-05] +[2024-05-26 04:12:47,950] - INFO: Evaluate at epoch 7970! +[2024-05-26 04:12:53,775] - INFO: Eval PSNR (max): 38.106 (7970) SSIM (max): 0.9612 (7805) +[2024-05-26 04:12:53,775] - INFO: Eval PSNR (current): 38.106 (7970) SSIM (current): 0.9611 (7970) +[2024-05-26 04:12:53,776] - INFO: Evaluation over. +[2024-05-26 04:12:58,322] - INFO: Epoch 7971/9999, Iter 398500: Loss = 0.013617298565804958, lr = [1.25e-05] +[2024-05-26 04:13:26,514] - INFO: Epoch 7971/9999, Iter 398520: Loss = 0.01167692057788372, lr = [1.25e-05] +[2024-05-26 04:13:53,287] - INFO: Epoch 7971/9999, Iter 398540: Loss = 0.010693434625864029, lr = [1.25e-05] +[2024-05-26 04:14:23,188] - INFO: Epoch 7972/9999, Iter 398560: Loss = 0.011100753210484982, lr = [1.25e-05] +[2024-05-26 04:14:50,592] - INFO: Epoch 7972/9999, Iter 398580: Loss = 0.015641212463378906, lr = [1.25e-05] +[2024-05-26 04:15:19,866] - INFO: Epoch 7973/9999, Iter 398600: Loss = 0.013182152062654495, lr = [1.25e-05] +[2024-05-26 04:15:46,656] - INFO: Epoch 7973/9999, Iter 398620: Loss = 0.008551651611924171, lr = [1.25e-05] +[2024-05-26 04:16:15,547] - INFO: Epoch 7973/9999, Iter 398640: Loss = 0.008795260451734066, lr = [1.25e-05] +[2024-05-26 04:16:44,967] - INFO: Epoch 7974/9999, Iter 398660: Loss = 0.008367027156054974, lr = [1.25e-05] +[2024-05-26 04:17:12,865] - INFO: Epoch 7974/9999, Iter 398680: Loss = 0.010798540897667408, lr = [1.25e-05] +[2024-05-26 04:17:41,759] - INFO: Epoch 7975/9999, Iter 398700: Loss = 0.014875669963657856, lr = [1.25e-05] +[2024-05-26 04:18:09,625] - INFO: Epoch 7975/9999, Iter 398720: Loss = 0.009453007951378822, lr = [1.25e-05] +[2024-05-26 04:18:37,409] - INFO: Epoch 7975/9999, Iter 398740: Loss = 0.011072564870119095, lr = [1.25e-05] +[2024-05-26 04:18:49,582] - INFO: Evaluate at epoch 7975! +[2024-05-26 04:18:53,628] - INFO: Eval PSNR (max): 38.106 (7970) SSIM (max): 0.9612 (7805) +[2024-05-26 04:18:53,628] - INFO: Eval PSNR (current): 38.105 (7975) SSIM (current): 0.9612 (7975) +[2024-05-26 04:18:53,628] - INFO: Evaluation over. +[2024-05-26 04:19:12,263] - INFO: Epoch 7976/9999, Iter 398760: Loss = 0.008947445079684258, lr = [1.25e-05] +[2024-05-26 04:19:39,598] - INFO: Epoch 7976/9999, Iter 398780: Loss = 0.01549645233899355, lr = [1.25e-05] +[2024-05-26 04:20:08,924] - INFO: Epoch 7977/9999, Iter 398800: Loss = 0.01477051805704832, lr = [1.25e-05] +[2024-05-26 04:20:37,344] - INFO: Epoch 7977/9999, Iter 398820: Loss = 0.011813203804194927, lr = [1.25e-05] +[2024-05-26 04:21:05,131] - INFO: Epoch 7977/9999, Iter 398840: Loss = 0.014655259437859058, lr = [1.25e-05] +[2024-05-26 04:21:33,714] - INFO: Epoch 7978/9999, Iter 398860: Loss = 0.01620345748960972, lr = [1.25e-05] +[2024-05-26 04:22:00,510] - INFO: Epoch 7978/9999, Iter 398880: Loss = 0.013305085711181164, lr = [1.25e-05] +[2024-05-26 04:22:29,231] - INFO: Epoch 7979/9999, Iter 398900: Loss = 0.012693547643721104, lr = [1.25e-05] +[2024-05-26 04:22:57,357] - INFO: Epoch 7979/9999, Iter 398920: Loss = 0.010836569592356682, lr = [1.25e-05] +[2024-05-26 04:23:24,884] - INFO: Epoch 7979/9999, Iter 398940: Loss = 0.010917210951447487, lr = [1.25e-05] +[2024-05-26 04:23:54,215] - INFO: Epoch 7980/9999, Iter 398960: Loss = 0.011102629825472832, lr = [1.25e-05] +[2024-05-26 04:24:21,875] - INFO: Epoch 7980/9999, Iter 398980: Loss = 0.010878222063183784, lr = [1.25e-05] +[2024-05-26 04:24:47,034] - INFO: Evaluate at epoch 7980! +[2024-05-26 04:24:51,081] - INFO: Eval PSNR (max): 38.106 (7970) SSIM (max): 0.9612 (7805) +[2024-05-26 04:24:51,082] - INFO: Eval PSNR (current): 38.103 (7980) SSIM (current): 0.9611 (7980) +[2024-05-26 04:24:51,082] - INFO: Evaluation over. +[2024-05-26 04:24:55,497] - INFO: Epoch 7981/9999, Iter 399000: Loss = 0.019591636955738068, lr = [1.25e-05] +[2024-05-26 04:25:22,355] - INFO: Epoch 7981/9999, Iter 399020: Loss = 0.009643311612308025, lr = [1.25e-05] +[2024-05-26 04:25:49,839] - INFO: Epoch 7981/9999, Iter 399040: Loss = 0.012708663009107113, lr = [1.25e-05] +[2024-05-26 04:26:18,623] - INFO: Epoch 7982/9999, Iter 399060: Loss = 0.007969530299305916, lr = [1.25e-05] +[2024-05-26 04:26:45,579] - INFO: Epoch 7982/9999, Iter 399080: Loss = 0.015394051559269428, lr = [1.25e-05] +[2024-05-26 04:27:14,311] - INFO: Epoch 7983/9999, Iter 399100: Loss = 0.011935108341276646, lr = [1.25e-05] +[2024-05-26 04:27:41,639] - INFO: Epoch 7983/9999, Iter 399120: Loss = 0.01631251908838749, lr = [1.25e-05] +[2024-05-26 04:28:09,403] - INFO: Epoch 7983/9999, Iter 399140: Loss = 0.007773814257234335, lr = [1.25e-05] +[2024-05-26 04:28:38,571] - INFO: Epoch 7984/9999, Iter 399160: Loss = 0.00830795057117939, lr = [1.25e-05] +[2024-05-26 04:29:06,342] - INFO: Epoch 7984/9999, Iter 399180: Loss = 0.010658014565706253, lr = [1.25e-05] +[2024-05-26 04:29:35,666] - INFO: Epoch 7985/9999, Iter 399200: Loss = 0.01339765079319477, lr = [1.25e-05] +[2024-05-26 04:30:03,471] - INFO: Epoch 7985/9999, Iter 399220: Loss = 0.016221292316913605, lr = [1.25e-05] +[2024-05-26 04:30:30,827] - INFO: Epoch 7985/9999, Iter 399240: Loss = 0.011211865581572056, lr = [1.25e-05] +[2024-05-26 04:30:43,408] - INFO: Evaluate at epoch 7985! +[2024-05-26 04:30:49,471] - INFO: Eval PSNR (max): 38.111 (7985) SSIM (max): 0.9612 (7805) +[2024-05-26 04:30:49,471] - INFO: Eval PSNR (current): 38.111 (7985) SSIM (current): 0.9611 (7985) +[2024-05-26 04:30:49,472] - INFO: Evaluation over. +[2024-05-26 04:31:06,973] - INFO: Epoch 7986/9999, Iter 399260: Loss = 0.013334802351891994, lr = [1.25e-05] +[2024-05-26 04:31:35,414] - INFO: Epoch 7986/9999, Iter 399280: Loss = 0.01352729368954897, lr = [1.25e-05] +[2024-05-26 04:32:04,728] - INFO: Epoch 7987/9999, Iter 399300: Loss = 0.009493631310760975, lr = [1.25e-05] +[2024-05-26 04:32:31,735] - INFO: Epoch 7987/9999, Iter 399320: Loss = 0.011895714327692986, lr = [1.25e-05] +[2024-05-26 04:32:59,361] - INFO: Epoch 7987/9999, Iter 399340: Loss = 0.011091494932770729, lr = [1.25e-05] +[2024-05-26 04:33:28,959] - INFO: Epoch 7988/9999, Iter 399360: Loss = 0.009224548004567623, lr = [1.25e-05] +[2024-05-26 04:33:56,867] - INFO: Epoch 7988/9999, Iter 399380: Loss = 0.012508134357631207, lr = [1.25e-05] +[2024-05-26 04:34:26,475] - INFO: Epoch 7989/9999, Iter 399400: Loss = 0.012425074353814125, lr = [1.25e-05] +[2024-05-26 04:34:54,699] - INFO: Epoch 7989/9999, Iter 399420: Loss = 0.011261705309152603, lr = [1.25e-05] +[2024-05-26 04:35:22,222] - INFO: Epoch 7989/9999, Iter 399440: Loss = 0.009920583106577396, lr = [1.25e-05] +[2024-05-26 04:35:50,416] - INFO: Epoch 7990/9999, Iter 399460: Loss = 0.018269900232553482, lr = [1.25e-05] +[2024-05-26 04:36:18,668] - INFO: Epoch 7990/9999, Iter 399480: Loss = 0.01318290363997221, lr = [1.25e-05] +[2024-05-26 04:36:44,854] - INFO: Evaluate at epoch 7990! +[2024-05-26 04:36:48,900] - INFO: Eval PSNR (max): 38.111 (7985) SSIM (max): 0.9612 (7805) +[2024-05-26 04:36:48,901] - INFO: Eval PSNR (current): 38.090 (7990) SSIM (current): 0.9612 (7990) +[2024-05-26 04:36:48,901] - INFO: Evaluation over. +[2024-05-26 04:36:53,558] - INFO: Epoch 7991/9999, Iter 399500: Loss = 0.014610180631279945, lr = [1.25e-05] +[2024-05-26 04:37:20,908] - INFO: Epoch 7991/9999, Iter 399520: Loss = 0.010270066559314728, lr = [1.25e-05] +[2024-05-26 04:37:48,775] - INFO: Epoch 7991/9999, Iter 399540: Loss = 0.020679976791143417, lr = [1.25e-05] +[2024-05-26 04:38:17,667] - INFO: Epoch 7992/9999, Iter 399560: Loss = 0.014822445809841156, lr = [1.25e-05] +[2024-05-26 04:38:45,412] - INFO: Epoch 7992/9999, Iter 399580: Loss = 0.015006056986749172, lr = [1.25e-05] +[2024-05-26 04:39:14,375] - INFO: Epoch 7993/9999, Iter 399600: Loss = 0.01017653290182352, lr = [1.25e-05] +[2024-05-26 04:39:43,075] - INFO: Epoch 7993/9999, Iter 399620: Loss = 0.01567988283932209, lr = [1.25e-05] +[2024-05-26 04:40:10,244] - INFO: Epoch 7993/9999, Iter 399640: Loss = 0.011413541622459888, lr = [1.25e-05] +[2024-05-26 04:40:38,941] - INFO: Epoch 7994/9999, Iter 399660: Loss = 0.013290481641888618, lr = [1.25e-05] +[2024-05-26 04:41:06,307] - INFO: Epoch 7994/9999, Iter 399680: Loss = 0.011580169200897217, lr = [1.25e-05] +[2024-05-26 04:41:34,531] - INFO: Epoch 7995/9999, Iter 399700: Loss = 0.013281445018947124, lr = [1.25e-05] +[2024-05-26 04:42:01,466] - INFO: Epoch 7995/9999, Iter 399720: Loss = 0.009556332603096962, lr = [1.25e-05] +[2024-05-26 04:42:29,043] - INFO: Epoch 7995/9999, Iter 399740: Loss = 0.01740032620728016, lr = [1.25e-05] +[2024-05-26 04:42:41,874] - INFO: Evaluate at epoch 7995! +[2024-05-26 04:42:45,920] - INFO: Eval PSNR (max): 38.111 (7985) SSIM (max): 0.9612 (7805) +[2024-05-26 04:42:45,920] - INFO: Eval PSNR (current): 38.093 (7995) SSIM (current): 0.9611 (7995) +[2024-05-26 04:42:45,920] - INFO: Evaluation over. +[2024-05-26 04:43:04,041] - INFO: Epoch 7996/9999, Iter 399760: Loss = 0.0161434318870306, lr = [1.25e-05] +[2024-05-26 04:43:31,915] - INFO: Epoch 7996/9999, Iter 399780: Loss = 0.012041697278618813, lr = [1.25e-05] +[2024-05-26 04:44:00,950] - INFO: Epoch 7997/9999, Iter 399800: Loss = 0.022498780861496925, lr = [1.25e-05] +[2024-05-26 04:44:28,683] - INFO: Epoch 7997/9999, Iter 399820: Loss = 0.009854517877101898, lr = [1.25e-05] +[2024-05-26 04:44:56,775] - INFO: Epoch 7997/9999, Iter 399840: Loss = 0.014194585382938385, lr = [1.25e-05] +[2024-05-26 04:45:26,803] - INFO: Epoch 7998/9999, Iter 399860: Loss = 0.0190864410251379, lr = [1.25e-05] +[2024-05-26 04:45:54,115] - INFO: Epoch 7998/9999, Iter 399880: Loss = 0.01019270159304142, lr = [1.25e-05] +[2024-05-26 04:46:23,383] - INFO: Epoch 7999/9999, Iter 399900: Loss = 0.008817143738269806, lr = [1.25e-05] +[2024-05-26 04:46:51,128] - INFO: Epoch 7999/9999, Iter 399920: Loss = 0.009519968181848526, lr = [1.25e-05] +[2024-05-26 04:47:18,751] - INFO: Epoch 7999/9999, Iter 399940: Loss = 0.013951407745480537, lr = [1.25e-05] +[2024-05-26 04:47:47,827] - INFO: Epoch 8000/9999, Iter 399960: Loss = 0.011876938864588737, lr = [1.25e-05] +[2024-05-26 04:48:14,862] - INFO: Epoch 8000/9999, Iter 399980: Loss = 0.015962112694978714, lr = [1.25e-05] +[2024-05-26 04:48:41,247] - INFO: Evaluate at epoch 8000! +[2024-05-26 04:48:45,292] - INFO: Eval PSNR (max): 38.111 (7985) SSIM (max): 0.9612 (7805) +[2024-05-26 04:48:45,293] - INFO: Eval PSNR (current): 38.097 (8000) SSIM (current): 0.9612 (8000) +[2024-05-26 04:48:45,293] - INFO: Evaluation over. +[2024-05-26 04:48:49,629] - INFO: Epoch 8001/9999, Iter 400000: Loss = 0.0137638496235013, lr = [1.25e-05] +[2024-05-26 04:49:16,504] - INFO: Epoch 8001/9999, Iter 400020: Loss = 0.009088171645998955, lr = [1.25e-05] +[2024-05-26 04:49:44,547] - INFO: Epoch 8001/9999, Iter 400040: Loss = 0.006788409315049648, lr = [1.25e-05] +[2024-05-26 04:50:13,836] - INFO: Epoch 8002/9999, Iter 400060: Loss = 0.009871318005025387, lr = [1.25e-05] +[2024-05-26 04:50:42,341] - INFO: Epoch 8002/9999, Iter 400080: Loss = 0.011882668361067772, lr = [1.25e-05] +[2024-05-26 04:51:10,267] - INFO: Epoch 8003/9999, Iter 400100: Loss = 0.013177267275750637, lr = [1.25e-05] +[2024-05-26 04:51:38,821] - INFO: Epoch 8003/9999, Iter 400120: Loss = 0.015170878730714321, lr = [1.25e-05] +[2024-05-26 04:52:06,103] - INFO: Epoch 8003/9999, Iter 400140: Loss = 0.011405028402805328, lr = [1.25e-05] +[2024-05-26 04:52:34,207] - INFO: Epoch 8004/9999, Iter 400160: Loss = 0.013585790991783142, lr = [1.25e-05] +[2024-05-26 04:53:02,599] - INFO: Epoch 8004/9999, Iter 400180: Loss = 0.008806400001049042, lr = [1.25e-05] +[2024-05-26 04:53:31,620] - INFO: Epoch 8005/9999, Iter 400200: Loss = 0.015062162652611732, lr = [1.25e-05] +[2024-05-26 04:53:59,470] - INFO: Epoch 8005/9999, Iter 400220: Loss = 0.009166380390524864, lr = [1.25e-05] +[2024-05-26 04:54:26,531] - INFO: Epoch 8005/9999, Iter 400240: Loss = 0.021339980885386467, lr = [1.25e-05] +[2024-05-26 04:54:38,879] - INFO: Evaluate at epoch 8005! +[2024-05-26 04:54:42,920] - INFO: Eval PSNR (max): 38.111 (7985) SSIM (max): 0.9612 (7805) +[2024-05-26 04:54:42,921] - INFO: Eval PSNR (current): 38.102 (8005) SSIM (current): 0.9612 (8005) +[2024-05-26 04:54:42,921] - INFO: Evaluation over. +[2024-05-26 04:55:01,713] - INFO: Epoch 8006/9999, Iter 400260: Loss = 0.011805282905697823, lr = [1.25e-05] +[2024-05-26 04:55:29,668] - INFO: Epoch 8006/9999, Iter 400280: Loss = 0.014003301039338112, lr = [1.25e-05] +[2024-05-26 04:55:58,886] - INFO: Epoch 8007/9999, Iter 400300: Loss = 0.017478274181485176, lr = [1.25e-05] +[2024-05-26 04:56:26,642] - INFO: Epoch 8007/9999, Iter 400320: Loss = 0.01217498630285263, lr = [1.25e-05] +[2024-05-26 04:56:53,375] - INFO: Epoch 8007/9999, Iter 400340: Loss = 0.014189464040100574, lr = [1.25e-05] +[2024-05-26 04:57:22,114] - INFO: Epoch 8008/9999, Iter 400360: Loss = 0.0102640800178051, lr = [1.25e-05] +[2024-05-26 04:57:49,787] - INFO: Epoch 8008/9999, Iter 400380: Loss = 0.008830415084958076, lr = [1.25e-05] +[2024-05-26 04:58:19,887] - INFO: Epoch 8009/9999, Iter 400400: Loss = 0.016473878175020218, lr = [1.25e-05] +[2024-05-26 04:58:47,691] - INFO: Epoch 8009/9999, Iter 400420: Loss = 0.012786106206476688, lr = [1.25e-05] +[2024-05-26 04:59:15,821] - INFO: Epoch 8009/9999, Iter 400440: Loss = 0.01185065321624279, lr = [1.25e-05] +[2024-05-26 04:59:45,459] - INFO: Epoch 8010/9999, Iter 400460: Loss = 0.008224042132496834, lr = [1.25e-05] +[2024-05-26 05:00:13,100] - INFO: Epoch 8010/9999, Iter 400480: Loss = 0.013885213062167168, lr = [1.25e-05] +[2024-05-26 05:00:38,996] - INFO: Evaluate at epoch 8010! +[2024-05-26 05:00:43,041] - INFO: Eval PSNR (max): 38.111 (7985) SSIM (max): 0.9612 (7805) +[2024-05-26 05:00:43,041] - INFO: Eval PSNR (current): 38.093 (8010) SSIM (current): 0.9611 (8010) +[2024-05-26 05:00:43,041] - INFO: Evaluation over. +[2024-05-26 05:00:47,409] - INFO: Epoch 8011/9999, Iter 400500: Loss = 0.008777742274105549, lr = [1.25e-05] +[2024-05-26 05:01:14,672] - INFO: Epoch 8011/9999, Iter 400520: Loss = 0.009631693363189697, lr = [1.25e-05] +[2024-05-26 05:01:42,340] - INFO: Epoch 8011/9999, Iter 400540: Loss = 0.01596035808324814, lr = [1.25e-05] +[2024-05-26 05:02:11,774] - INFO: Epoch 8012/9999, Iter 400560: Loss = 0.012394708581268787, lr = [1.25e-05] +[2024-05-26 05:02:40,035] - INFO: Epoch 8012/9999, Iter 400580: Loss = 0.01445672009140253, lr = [1.25e-05] +[2024-05-26 05:03:09,211] - INFO: Epoch 8013/9999, Iter 400600: Loss = 0.014181254431605339, lr = [1.25e-05] +[2024-05-26 05:03:38,091] - INFO: Epoch 8013/9999, Iter 400620: Loss = 0.010252008214592934, lr = [1.25e-05] +[2024-05-26 05:04:06,031] - INFO: Epoch 8013/9999, Iter 400640: Loss = 0.012795633636415005, lr = [1.25e-05] +[2024-05-26 05:04:34,423] - INFO: Epoch 8014/9999, Iter 400660: Loss = 0.007717038970440626, lr = [1.25e-05] +[2024-05-26 05:05:02,707] - INFO: Epoch 8014/9999, Iter 400680: Loss = 0.014879928901791573, lr = [1.25e-05] +[2024-05-26 05:05:31,437] - INFO: Epoch 8015/9999, Iter 400700: Loss = 0.010301857255399227, lr = [1.25e-05] +[2024-05-26 05:05:59,051] - INFO: Epoch 8015/9999, Iter 400720: Loss = 0.015038316138088703, lr = [1.25e-05] +[2024-05-26 05:06:26,840] - INFO: Epoch 8015/9999, Iter 400740: Loss = 0.012380998581647873, lr = [1.25e-05] +[2024-05-26 05:06:38,814] - INFO: Evaluate at epoch 8015! +[2024-05-26 05:06:42,922] - INFO: Eval PSNR (max): 38.111 (7985) SSIM (max): 0.9612 (7805) +[2024-05-26 05:06:42,922] - INFO: Eval PSNR (current): 38.102 (8015) SSIM (current): 0.9612 (8015) +[2024-05-26 05:06:42,922] - INFO: Evaluation over. +[2024-05-26 05:07:00,159] - INFO: Epoch 8016/9999, Iter 400760: Loss = 0.006862454116344452, lr = [1.25e-05] +[2024-05-26 05:07:27,837] - INFO: Epoch 8016/9999, Iter 400780: Loss = 0.01518954150378704, lr = [1.25e-05] +[2024-05-26 05:07:57,355] - INFO: Epoch 8017/9999, Iter 400800: Loss = 0.012124285101890564, lr = [1.25e-05] +[2024-05-26 05:08:24,763] - INFO: Epoch 8017/9999, Iter 400820: Loss = 0.009758357889950275, lr = [1.25e-05] +[2024-05-26 05:08:52,061] - INFO: Epoch 8017/9999, Iter 400840: Loss = 0.014236037619411945, lr = [1.25e-05] +[2024-05-26 05:09:20,416] - INFO: Epoch 8018/9999, Iter 400860: Loss = 0.009711121208965778, lr = [1.25e-05] +[2024-05-26 05:09:47,341] - INFO: Epoch 8018/9999, Iter 400880: Loss = 0.009818309918045998, lr = [1.25e-05] +[2024-05-26 05:10:16,022] - INFO: Epoch 8019/9999, Iter 400900: Loss = 0.014936304651200771, lr = [1.25e-05] +[2024-05-26 05:10:42,975] - INFO: Epoch 8019/9999, Iter 400920: Loss = 0.010582690127193928, lr = [1.25e-05] +[2024-05-26 05:11:11,788] - INFO: Epoch 8019/9999, Iter 400940: Loss = 0.012528915889561176, lr = [1.25e-05] +[2024-05-26 05:11:41,019] - INFO: Epoch 8020/9999, Iter 400960: Loss = 0.0085794348269701, lr = [1.25e-05] +[2024-05-26 05:12:08,769] - INFO: Epoch 8020/9999, Iter 400980: Loss = 0.014889021404087543, lr = [1.25e-05] +[2024-05-26 05:12:34,402] - INFO: Evaluate at epoch 8020! +[2024-05-26 05:12:38,504] - INFO: Eval PSNR (max): 38.111 (7985) SSIM (max): 0.9612 (7805) +[2024-05-26 05:12:38,504] - INFO: Eval PSNR (current): 38.110 (8020) SSIM (current): 0.9612 (8020) +[2024-05-26 05:12:38,504] - INFO: Evaluation over. +[2024-05-26 05:12:42,791] - INFO: Epoch 8021/9999, Iter 401000: Loss = 0.01477251946926117, lr = [1.25e-05] +[2024-05-26 05:13:10,380] - INFO: Epoch 8021/9999, Iter 401020: Loss = 0.017000911757349968, lr = [1.25e-05] +[2024-05-26 05:13:38,455] - INFO: Epoch 8021/9999, Iter 401040: Loss = 0.01850181259214878, lr = [1.25e-05] +[2024-05-26 05:14:07,173] - INFO: Epoch 8022/9999, Iter 401060: Loss = 0.009251875802874565, lr = [1.25e-05] +[2024-05-26 05:14:35,010] - INFO: Epoch 8022/9999, Iter 401080: Loss = 0.009188435971736908, lr = [1.25e-05] +[2024-05-26 05:15:03,743] - INFO: Epoch 8023/9999, Iter 401100: Loss = 0.008508316241204739, lr = [1.25e-05] +[2024-05-26 05:15:30,828] - INFO: Epoch 8023/9999, Iter 401120: Loss = 0.009302548132836819, lr = [1.25e-05] +[2024-05-26 05:15:58,443] - INFO: Epoch 8023/9999, Iter 401140: Loss = 0.013339411467313766, lr = [1.25e-05] +[2024-05-26 05:16:27,892] - INFO: Epoch 8024/9999, Iter 401160: Loss = 0.010762304998934269, lr = [1.25e-05] +[2024-05-26 05:16:56,283] - INFO: Epoch 8024/9999, Iter 401180: Loss = 0.0089164599776268, lr = [1.25e-05] +[2024-05-26 05:17:25,319] - INFO: Epoch 8025/9999, Iter 401200: Loss = 0.012503589503467083, lr = [1.25e-05] +[2024-05-26 05:17:52,902] - INFO: Epoch 8025/9999, Iter 401220: Loss = 0.00921355839818716, lr = [1.25e-05] +[2024-05-26 05:18:21,063] - INFO: Epoch 8025/9999, Iter 401240: Loss = 0.01518816314637661, lr = [1.25e-05] +[2024-05-26 05:18:32,970] - INFO: Evaluate at epoch 8025! +[2024-05-26 05:18:37,066] - INFO: Eval PSNR (max): 38.111 (7985) SSIM (max): 0.9612 (7805) +[2024-05-26 05:18:37,066] - INFO: Eval PSNR (current): 38.108 (8025) SSIM (current): 0.9612 (8025) +[2024-05-26 05:18:37,066] - INFO: Evaluation over. +[2024-05-26 05:18:55,291] - INFO: Epoch 8026/9999, Iter 401260: Loss = 0.011919171549379826, lr = [1.25e-05] +[2024-05-26 05:19:22,983] - INFO: Epoch 8026/9999, Iter 401280: Loss = 0.012845407240092754, lr = [1.25e-05] +[2024-05-26 05:19:52,287] - INFO: Epoch 8027/9999, Iter 401300: Loss = 0.011058161035180092, lr = [1.25e-05] +[2024-05-26 05:20:19,383] - INFO: Epoch 8027/9999, Iter 401320: Loss = 0.01676684431731701, lr = [1.25e-05] +[2024-05-26 05:20:47,491] - INFO: Epoch 8027/9999, Iter 401340: Loss = 0.010095983743667603, lr = [1.25e-05] +[2024-05-26 05:21:16,491] - INFO: Epoch 8028/9999, Iter 401360: Loss = 0.01710393838584423, lr = [1.25e-05] +[2024-05-26 05:21:44,474] - INFO: Epoch 8028/9999, Iter 401380: Loss = 0.014481712132692337, lr = [1.25e-05] +[2024-05-26 05:22:13,818] - INFO: Epoch 8029/9999, Iter 401400: Loss = 0.011854873038828373, lr = [1.25e-05] +[2024-05-26 05:22:42,499] - INFO: Epoch 8029/9999, Iter 401420: Loss = 0.010609397664666176, lr = [1.25e-05] +[2024-05-26 05:23:09,655] - INFO: Epoch 8029/9999, Iter 401440: Loss = 0.017856385558843613, lr = [1.25e-05] +[2024-05-26 05:23:38,695] - INFO: Epoch 8030/9999, Iter 401460: Loss = 0.013132321648299694, lr = [1.25e-05] +[2024-05-26 05:24:06,087] - INFO: Epoch 8030/9999, Iter 401480: Loss = 0.013920473866164684, lr = [1.25e-05] +[2024-05-26 05:24:33,031] - INFO: Evaluate at epoch 8030! +[2024-05-26 05:24:37,140] - INFO: Eval PSNR (max): 38.111 (7985) SSIM (max): 0.9612 (7805) +[2024-05-26 05:24:37,140] - INFO: Eval PSNR (current): 38.098 (8030) SSIM (current): 0.9612 (8030) +[2024-05-26 05:24:37,140] - INFO: Evaluation over. +[2024-05-26 05:24:41,223] - INFO: Epoch 8031/9999, Iter 401500: Loss = 0.010642814449965954, lr = [1.25e-05] +[2024-05-26 05:25:09,632] - INFO: Epoch 8031/9999, Iter 401520: Loss = 0.013220081105828285, lr = [1.25e-05] +[2024-05-26 05:25:37,783] - INFO: Epoch 8031/9999, Iter 401540: Loss = 0.01203625276684761, lr = [1.25e-05] +[2024-05-26 05:26:06,599] - INFO: Epoch 8032/9999, Iter 401560: Loss = 0.014197146520018578, lr = [1.25e-05] +[2024-05-26 05:26:34,655] - INFO: Epoch 8032/9999, Iter 401580: Loss = 0.01711968332529068, lr = [1.25e-05] +[2024-05-26 05:27:02,839] - INFO: Epoch 8033/9999, Iter 401600: Loss = 0.012495515868067741, lr = [1.25e-05] +[2024-05-26 05:27:30,425] - INFO: Epoch 8033/9999, Iter 401620: Loss = 0.017942002043128014, lr = [1.25e-05] +[2024-05-26 05:27:58,646] - INFO: Epoch 8033/9999, Iter 401640: Loss = 0.012074164114892483, lr = [1.25e-05] +[2024-05-26 05:28:28,603] - INFO: Epoch 8034/9999, Iter 401660: Loss = 0.014818374067544937, lr = [1.25e-05] +[2024-05-26 05:28:56,321] - INFO: Epoch 8034/9999, Iter 401680: Loss = 0.014423059299588203, lr = [1.25e-05] +[2024-05-26 05:29:24,735] - INFO: Epoch 8035/9999, Iter 401700: Loss = 0.01320671383291483, lr = [1.25e-05] +[2024-05-26 05:29:52,469] - INFO: Epoch 8035/9999, Iter 401720: Loss = 0.010065518319606781, lr = [1.25e-05] +[2024-05-26 05:30:19,677] - INFO: Epoch 8035/9999, Iter 401740: Loss = 0.011876124888658524, lr = [1.25e-05] +[2024-05-26 05:30:32,192] - INFO: Evaluate at epoch 8035! +[2024-05-26 05:30:36,388] - INFO: Eval PSNR (max): 38.111 (7985) SSIM (max): 0.9612 (7805) +[2024-05-26 05:30:36,388] - INFO: Eval PSNR (current): 38.108 (8035) SSIM (current): 0.9611 (8035) +[2024-05-26 05:30:36,388] - INFO: Evaluation over. +[2024-05-26 05:30:55,509] - INFO: Epoch 8036/9999, Iter 401760: Loss = 0.009846281260251999, lr = [1.25e-05] +[2024-05-26 05:31:22,975] - INFO: Epoch 8036/9999, Iter 401780: Loss = 0.015410869382321835, lr = [1.25e-05] +[2024-05-26 05:31:52,176] - INFO: Epoch 8037/9999, Iter 401800: Loss = 0.010175400413572788, lr = [1.25e-05] +[2024-05-26 05:32:19,654] - INFO: Epoch 8037/9999, Iter 401820: Loss = 0.011725513264536858, lr = [1.25e-05] +[2024-05-26 05:32:47,125] - INFO: Epoch 8037/9999, Iter 401840: Loss = 0.010823452845215797, lr = [1.25e-05] +[2024-05-26 05:33:16,467] - INFO: Epoch 8038/9999, Iter 401860: Loss = 0.016778750345110893, lr = [1.25e-05] +[2024-05-26 05:33:43,779] - INFO: Epoch 8038/9999, Iter 401880: Loss = 0.009140384383499622, lr = [1.25e-05] +[2024-05-26 05:34:11,972] - INFO: Epoch 8039/9999, Iter 401900: Loss = 0.017267361283302307, lr = [1.25e-05] +[2024-05-26 05:34:39,585] - INFO: Epoch 8039/9999, Iter 401920: Loss = 0.007508878596127033, lr = [1.25e-05] +[2024-05-26 05:35:05,885] - INFO: Epoch 8039/9999, Iter 401940: Loss = 0.014314728789031506, lr = [1.25e-05] +[2024-05-26 05:35:35,564] - INFO: Epoch 8040/9999, Iter 401960: Loss = 0.011334109120070934, lr = [1.25e-05] +[2024-05-26 05:36:03,637] - INFO: Epoch 8040/9999, Iter 401980: Loss = 0.012410180643200874, lr = [1.25e-05] +[2024-05-26 05:36:29,870] - INFO: Evaluate at epoch 8040! +[2024-05-26 05:36:33,979] - INFO: Eval PSNR (max): 38.111 (7985) SSIM (max): 0.9612 (7805) +[2024-05-26 05:36:33,979] - INFO: Eval PSNR (current): 38.100 (8040) SSIM (current): 0.9611 (8040) +[2024-05-26 05:36:33,979] - INFO: Evaluation over. +[2024-05-26 05:36:38,483] - INFO: Epoch 8041/9999, Iter 402000: Loss = 0.015241599641740322, lr = [1.25e-05] +[2024-05-26 05:37:06,309] - INFO: Epoch 8041/9999, Iter 402020: Loss = 0.010422642342746258, lr = [1.25e-05] +[2024-05-26 05:37:34,206] - INFO: Epoch 8041/9999, Iter 402040: Loss = 0.015524059534072876, lr = [1.25e-05] +[2024-05-26 05:38:03,627] - INFO: Epoch 8042/9999, Iter 402060: Loss = 0.01395940687507391, lr = [1.25e-05] +[2024-05-26 05:38:31,798] - INFO: Epoch 8042/9999, Iter 402080: Loss = 0.008821806870400906, lr = [1.25e-05] +[2024-05-26 05:39:01,082] - INFO: Epoch 8043/9999, Iter 402100: Loss = 0.010537218302488327, lr = [1.25e-05] +[2024-05-26 05:39:29,580] - INFO: Epoch 8043/9999, Iter 402120: Loss = 0.012847037054598331, lr = [1.25e-05] +[2024-05-26 05:39:57,327] - INFO: Epoch 8043/9999, Iter 402140: Loss = 0.015332895331084728, lr = [1.25e-05] +[2024-05-26 05:40:26,271] - INFO: Epoch 8044/9999, Iter 402160: Loss = 0.015039445832371712, lr = [1.25e-05] +[2024-05-26 05:40:53,639] - INFO: Epoch 8044/9999, Iter 402180: Loss = 0.011950522661209106, lr = [1.25e-05] +[2024-05-26 05:41:23,076] - INFO: Epoch 8045/9999, Iter 402200: Loss = 0.006495185662060976, lr = [1.25e-05] +[2024-05-26 05:41:50,940] - INFO: Epoch 8045/9999, Iter 402220: Loss = 0.009355423972010612, lr = [1.25e-05] +[2024-05-26 05:42:17,782] - INFO: Epoch 8045/9999, Iter 402240: Loss = 0.014221712946891785, lr = [1.25e-05] +[2024-05-26 05:42:30,051] - INFO: Evaluate at epoch 8045! +[2024-05-26 05:42:34,154] - INFO: Eval PSNR (max): 38.111 (7985) SSIM (max): 0.9612 (7805) +[2024-05-26 05:42:34,154] - INFO: Eval PSNR (current): 38.101 (8045) SSIM (current): 0.9612 (8045) +[2024-05-26 05:42:34,154] - INFO: Evaluation over. +[2024-05-26 05:42:52,070] - INFO: Epoch 8046/9999, Iter 402260: Loss = 0.013972039334475994, lr = [1.25e-05] +[2024-05-26 05:43:20,698] - INFO: Epoch 8046/9999, Iter 402280: Loss = 0.015336606651544571, lr = [1.25e-05] +[2024-05-26 05:43:48,933] - INFO: Epoch 8047/9999, Iter 402300: Loss = 0.010681556537747383, lr = [1.25e-05] +[2024-05-26 05:44:15,274] - INFO: Epoch 8047/9999, Iter 402320: Loss = 0.009138703346252441, lr = [1.25e-05] +[2024-05-26 05:44:43,331] - INFO: Epoch 8047/9999, Iter 402340: Loss = 0.011689622886478901, lr = [1.25e-05] +[2024-05-26 05:45:13,527] - INFO: Epoch 8048/9999, Iter 402360: Loss = 0.012729771435260773, lr = [1.25e-05] +[2024-05-26 05:45:41,703] - INFO: Epoch 8048/9999, Iter 402380: Loss = 0.01158452033996582, lr = [1.25e-05] +[2024-05-26 05:46:10,614] - INFO: Epoch 8049/9999, Iter 402400: Loss = 0.016477109864354134, lr = [1.25e-05] +[2024-05-26 05:46:38,735] - INFO: Epoch 8049/9999, Iter 402420: Loss = 0.008789298124611378, lr = [1.25e-05] +[2024-05-26 05:47:06,442] - INFO: Epoch 8049/9999, Iter 402440: Loss = 0.01431388221681118, lr = [1.25e-05] +[2024-05-26 05:47:36,019] - INFO: Epoch 8050/9999, Iter 402460: Loss = 0.010736101306974888, lr = [1.25e-05] +[2024-05-26 05:48:02,833] - INFO: Epoch 8050/9999, Iter 402480: Loss = 0.009556119330227375, lr = [1.25e-05] +[2024-05-26 05:48:28,505] - INFO: Evaluate at epoch 8050! +[2024-05-26 05:48:32,608] - INFO: Eval PSNR (max): 38.111 (7985) SSIM (max): 0.9612 (7805) +[2024-05-26 05:48:32,608] - INFO: Eval PSNR (current): 38.104 (8050) SSIM (current): 0.9611 (8050) +[2024-05-26 05:48:32,608] - INFO: Evaluation over. +[2024-05-26 05:48:37,367] - INFO: Epoch 8051/9999, Iter 402500: Loss = 0.011781096458435059, lr = [1.25e-05] +[2024-05-26 05:49:05,888] - INFO: Epoch 8051/9999, Iter 402520: Loss = 0.01420809980481863, lr = [1.25e-05] +[2024-05-26 05:49:33,720] - INFO: Epoch 8051/9999, Iter 402540: Loss = 0.016384316608309746, lr = [1.25e-05] +[2024-05-26 05:50:02,719] - INFO: Epoch 8052/9999, Iter 402560: Loss = 0.013101744465529919, lr = [1.25e-05] +[2024-05-26 05:50:30,292] - INFO: Epoch 8052/9999, Iter 402580: Loss = 0.0155802546069026, lr = [1.25e-05] +[2024-05-26 05:50:59,950] - INFO: Epoch 8053/9999, Iter 402600: Loss = 0.013058857060968876, lr = [1.25e-05] +[2024-05-26 05:51:27,610] - INFO: Epoch 8053/9999, Iter 402620: Loss = 0.017097651958465576, lr = [1.25e-05] +[2024-05-26 05:51:55,555] - INFO: Epoch 8053/9999, Iter 402640: Loss = 0.01095049362629652, lr = [1.25e-05] +[2024-05-26 05:52:23,775] - INFO: Epoch 8054/9999, Iter 402660: Loss = 0.013527952134609222, lr = [1.25e-05] +[2024-05-26 05:52:51,591] - INFO: Epoch 8054/9999, Iter 402680: Loss = 0.015087053179740906, lr = [1.25e-05] +[2024-05-26 05:53:20,227] - INFO: Epoch 8055/9999, Iter 402700: Loss = 0.012011813931167126, lr = [1.25e-05] +[2024-05-26 05:53:48,360] - INFO: Epoch 8055/9999, Iter 402720: Loss = 0.008429976180195808, lr = [1.25e-05] +[2024-05-26 05:54:15,859] - INFO: Epoch 8055/9999, Iter 402740: Loss = 0.017975540831685066, lr = [1.25e-05] +[2024-05-26 05:54:27,616] - INFO: Evaluate at epoch 8055! +[2024-05-26 05:54:31,719] - INFO: Eval PSNR (max): 38.111 (7985) SSIM (max): 0.9612 (7805) +[2024-05-26 05:54:31,719] - INFO: Eval PSNR (current): 38.104 (8055) SSIM (current): 0.9612 (8055) +[2024-05-26 05:54:31,719] - INFO: Evaluation over. +[2024-05-26 05:54:49,820] - INFO: Epoch 8056/9999, Iter 402760: Loss = 0.013426010496914387, lr = [1.25e-05] +[2024-05-26 05:55:17,170] - INFO: Epoch 8056/9999, Iter 402780: Loss = 0.01309223473072052, lr = [1.25e-05] +[2024-05-26 05:55:46,144] - INFO: Epoch 8057/9999, Iter 402800: Loss = 0.00786847434937954, lr = [1.25e-05] +[2024-05-26 05:56:14,022] - INFO: Epoch 8057/9999, Iter 402820: Loss = 0.014035291969776154, lr = [1.25e-05] +[2024-05-26 05:56:41,536] - INFO: Epoch 8057/9999, Iter 402840: Loss = 0.014076460152864456, lr = [1.25e-05] +[2024-05-26 05:57:09,935] - INFO: Epoch 8058/9999, Iter 402860: Loss = 0.01591651700437069, lr = [1.25e-05] +[2024-05-26 05:57:37,018] - INFO: Epoch 8058/9999, Iter 402880: Loss = 0.014089423231780529, lr = [1.25e-05] +[2024-05-26 05:58:06,543] - INFO: Epoch 8059/9999, Iter 402900: Loss = 0.01216346025466919, lr = [1.25e-05] +[2024-05-26 05:58:35,111] - INFO: Epoch 8059/9999, Iter 402920: Loss = 0.014250148087739944, lr = [1.25e-05] +[2024-05-26 05:59:02,435] - INFO: Epoch 8059/9999, Iter 402940: Loss = 0.008860157802700996, lr = [1.25e-05] +[2024-05-26 05:59:30,761] - INFO: Epoch 8060/9999, Iter 402960: Loss = 0.010246139951050282, lr = [1.25e-05] +[2024-05-26 05:59:58,281] - INFO: Epoch 8060/9999, Iter 402980: Loss = 0.014981257729232311, lr = [1.25e-05] +[2024-05-26 06:00:25,102] - INFO: Evaluate at epoch 8060! +[2024-05-26 06:00:29,205] - INFO: Eval PSNR (max): 38.111 (7985) SSIM (max): 0.9612 (7805) +[2024-05-26 06:00:29,206] - INFO: Eval PSNR (current): 38.094 (8060) SSIM (current): 0.9612 (8060) +[2024-05-26 06:00:29,206] - INFO: Evaluation over. +[2024-05-26 06:00:33,792] - INFO: Epoch 8061/9999, Iter 403000: Loss = 0.011768197640776634, lr = [1.25e-05] +[2024-05-26 06:01:02,237] - INFO: Epoch 8061/9999, Iter 403020: Loss = 0.013943975791335106, lr = [1.25e-05] +[2024-05-26 06:01:30,507] - INFO: Epoch 8061/9999, Iter 403040: Loss = 0.015081584453582764, lr = [1.25e-05] +[2024-05-26 06:01:59,087] - INFO: Epoch 8062/9999, Iter 403060: Loss = 0.01349294651299715, lr = [1.25e-05] +[2024-05-26 06:02:26,179] - INFO: Epoch 8062/9999, Iter 403080: Loss = 0.015924643725156784, lr = [1.25e-05] +[2024-05-26 06:02:55,842] - INFO: Epoch 8063/9999, Iter 403100: Loss = 0.011649083346128464, lr = [1.25e-05] +[2024-05-26 06:03:23,387] - INFO: Epoch 8063/9999, Iter 403120: Loss = 0.010767287574708462, lr = [1.25e-05] +[2024-05-26 06:03:51,779] - INFO: Epoch 8063/9999, Iter 403140: Loss = 0.010560748167335987, lr = [1.25e-05] +[2024-05-26 06:04:21,023] - INFO: Epoch 8064/9999, Iter 403160: Loss = 0.01125097181648016, lr = [1.25e-05] +[2024-05-26 06:04:48,233] - INFO: Epoch 8064/9999, Iter 403180: Loss = 0.017950931563973427, lr = [1.25e-05] +[2024-05-26 06:05:17,576] - INFO: Epoch 8065/9999, Iter 403200: Loss = 0.013476879335939884, lr = [1.25e-05] +[2024-05-26 06:05:45,506] - INFO: Epoch 8065/9999, Iter 403220: Loss = 0.013649464584887028, lr = [1.25e-05] +[2024-05-26 06:06:13,199] - INFO: Epoch 8065/9999, Iter 403240: Loss = 0.012027114629745483, lr = [1.25e-05] +[2024-05-26 06:06:25,602] - INFO: Evaluate at epoch 8065! +[2024-05-26 06:06:29,703] - INFO: Eval PSNR (max): 38.111 (7985) SSIM (max): 0.9612 (7805) +[2024-05-26 06:06:29,703] - INFO: Eval PSNR (current): 38.092 (8065) SSIM (current): 0.9612 (8065) +[2024-05-26 06:06:29,703] - INFO: Evaluation over. +[2024-05-26 06:06:47,590] - INFO: Epoch 8066/9999, Iter 403260: Loss = 0.01155639998614788, lr = [1.25e-05] +[2024-05-26 06:07:15,439] - INFO: Epoch 8066/9999, Iter 403280: Loss = 0.013871857896447182, lr = [1.25e-05] +[2024-05-26 06:07:44,832] - INFO: Epoch 8067/9999, Iter 403300: Loss = 0.014416898600757122, lr = [1.25e-05] +[2024-05-26 06:08:13,199] - INFO: Epoch 8067/9999, Iter 403320: Loss = 0.012036973610520363, lr = [1.25e-05] +[2024-05-26 06:08:41,630] - INFO: Epoch 8067/9999, Iter 403340: Loss = 0.012864680960774422, lr = [1.25e-05] +[2024-05-26 06:09:10,743] - INFO: Epoch 8068/9999, Iter 403360: Loss = 0.009581510908901691, lr = [1.25e-05] +[2024-05-26 06:09:39,305] - INFO: Epoch 8068/9999, Iter 403380: Loss = 0.015036781318485737, lr = [1.25e-05] +[2024-05-26 06:10:07,811] - INFO: Epoch 8069/9999, Iter 403400: Loss = 0.011840999126434326, lr = [1.25e-05] +[2024-05-26 06:10:35,771] - INFO: Epoch 8069/9999, Iter 403420: Loss = 0.010799013078212738, lr = [1.25e-05] +[2024-05-26 06:11:04,183] - INFO: Epoch 8069/9999, Iter 403440: Loss = 0.015778828412294388, lr = [1.25e-05] +[2024-05-26 06:11:32,656] - INFO: Epoch 8070/9999, Iter 403460: Loss = 0.016002677381038666, lr = [1.25e-05] +[2024-05-26 06:12:00,927] - INFO: Epoch 8070/9999, Iter 403480: Loss = 0.012722685933113098, lr = [1.25e-05] +[2024-05-26 06:12:26,912] - INFO: Evaluate at epoch 8070! +[2024-05-26 06:12:31,014] - INFO: Eval PSNR (max): 38.111 (7985) SSIM (max): 0.9612 (7805) +[2024-05-26 06:12:31,014] - INFO: Eval PSNR (current): 38.087 (8070) SSIM (current): 0.9611 (8070) +[2024-05-26 06:12:31,014] - INFO: Evaluation over. +[2024-05-26 06:12:35,426] - INFO: Epoch 8071/9999, Iter 403500: Loss = 0.014125256799161434, lr = [1.25e-05] +[2024-05-26 06:13:03,807] - INFO: Epoch 8071/9999, Iter 403520: Loss = 0.011636859737336636, lr = [1.25e-05] +[2024-05-26 06:13:31,245] - INFO: Epoch 8071/9999, Iter 403540: Loss = 0.014122930355370045, lr = [1.25e-05] +[2024-05-26 06:14:00,275] - INFO: Epoch 8072/9999, Iter 403560: Loss = 0.014392711222171783, lr = [1.25e-05] +[2024-05-26 06:14:28,643] - INFO: Epoch 8072/9999, Iter 403580: Loss = 0.015408733859658241, lr = [1.25e-05] +[2024-05-26 06:14:57,281] - INFO: Epoch 8073/9999, Iter 403600: Loss = 0.011732244864106178, lr = [1.25e-05] +[2024-05-26 06:15:24,615] - INFO: Epoch 8073/9999, Iter 403620: Loss = 0.00611153244972229, lr = [1.25e-05] +[2024-05-26 06:15:52,703] - INFO: Epoch 8073/9999, Iter 403640: Loss = 0.014195513911545277, lr = [1.25e-05] +[2024-05-26 06:16:21,769] - INFO: Epoch 8074/9999, Iter 403660: Loss = 0.00948741938918829, lr = [1.25e-05] +[2024-05-26 06:16:49,117] - INFO: Epoch 8074/9999, Iter 403680: Loss = 0.012262452393770218, lr = [1.25e-05] +[2024-05-26 06:17:18,103] - INFO: Epoch 8075/9999, Iter 403700: Loss = 0.016418548300862312, lr = [1.25e-05] +[2024-05-26 06:17:45,213] - INFO: Epoch 8075/9999, Iter 403720: Loss = 0.014605343341827393, lr = [1.25e-05] +[2024-05-26 06:18:13,191] - INFO: Epoch 8075/9999, Iter 403740: Loss = 0.009205753915011883, lr = [1.25e-05] +[2024-05-26 06:18:24,879] - INFO: Evaluate at epoch 8075! +[2024-05-26 06:18:28,982] - INFO: Eval PSNR (max): 38.111 (7985) SSIM (max): 0.9612 (7805) +[2024-05-26 06:18:28,982] - INFO: Eval PSNR (current): 38.090 (8075) SSIM (current): 0.9611 (8075) +[2024-05-26 06:18:28,982] - INFO: Evaluation over. +[2024-05-26 06:18:46,815] - INFO: Epoch 8076/9999, Iter 403760: Loss = 0.0144612742587924, lr = [1.25e-05] +[2024-05-26 06:19:14,045] - INFO: Epoch 8076/9999, Iter 403780: Loss = 0.01145712286233902, lr = [1.25e-05] +[2024-05-26 06:19:43,671] - INFO: Epoch 8077/9999, Iter 403800: Loss = 0.013676769100129604, lr = [1.25e-05] +[2024-05-26 06:20:11,503] - INFO: Epoch 8077/9999, Iter 403820: Loss = 0.013490395620465279, lr = [1.25e-05] +[2024-05-26 06:20:39,699] - INFO: Epoch 8077/9999, Iter 403840: Loss = 0.016886625438928604, lr = [1.25e-05] +[2024-05-26 06:21:09,290] - INFO: Epoch 8078/9999, Iter 403860: Loss = 0.00778661435469985, lr = [1.25e-05] +[2024-05-26 06:21:36,299] - INFO: Epoch 8078/9999, Iter 403880: Loss = 0.01296287588775158, lr = [1.25e-05] +[2024-05-26 06:22:05,208] - INFO: Epoch 8079/9999, Iter 403900: Loss = 0.010016173124313354, lr = [1.25e-05] +[2024-05-26 06:22:32,144] - INFO: Epoch 8079/9999, Iter 403920: Loss = 0.012127001769840717, lr = [1.25e-05] +[2024-05-26 06:22:59,123] - INFO: Epoch 8079/9999, Iter 403940: Loss = 0.013118697330355644, lr = [1.25e-05] diff --git a/RNAN/args.txt b/RNAN/args.txt new file mode 100644 index 0000000000000000000000000000000000000000..25fad3ddadbef63620f92fce23ec74ffd8c26182 --- /dev/null +++ b/RNAN/args.txt @@ -0,0 +1,4 @@ + __immutable__ False + __deprecated_keys__ set() + __renamed_keys__ {} + __new_allowed__ False diff --git a/RNAN/model/max_psnr_model.pth b/RNAN/model/max_psnr_model.pth new file mode 100644 index 0000000000000000000000000000000000000000..d3aa451f49157de8215f1432e53fff9eb738294c --- /dev/null +++ b/RNAN/model/max_psnr_model.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:059cf49e67e75b0220070480fd0699344bde5d2635c78eedfb7566efb0273747 +size 345207806 diff --git a/RNAN/model/max_ssim_model.pth b/RNAN/model/max_ssim_model.pth new file mode 100644 index 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