diff --git "a/DNAN/DNAN.log" "b/DNAN/DNAN.log" new file mode 100644--- /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]